crypto_arbitrage.ipynb

{
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  {
   "cell_type": "markdown",
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   "source": [
    "## Crypto Arbitrage\n",
    "\n",
    "In this Challenge, you'll take on the role of an analyst at a high-tech investment firm. The vice president (VP) of your department is considering arbitrage opportunities in Bitcoin and other cryptocurrencies. As Bitcoin trades on markets across the globe, can you capitalize on simultaneous price dislocations in those markets by using the powers of Pandas?\n",
    "\n",
    "For this assignment, you’ll sort through historical trade data for Bitcoin on two exchanges: Bitstamp and Coinbase. Your task is to apply the three phases of financial analysis to determine if any arbitrage opportunities exist for Bitcoin.\n",
    "\n",
    "This aspect of the Challenge will consist of 3 phases.\n",
    "\n",
    "1. Collect the data.\n",
    "\n",
    "2. Prepare the data.\n",
    "\n",
    "3. Analyze the data. \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Import the required libraries and dependencies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pathlib import Path\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Collect the Data\n",
    "\n",
    "To collect the data that you’ll need, complete the following steps:\n",
    "\n",
    "Instructions. \n",
    "\n",
    "1. Using the Pandas `read_csv` function and the `Path` module, import the data from `bitstamp.csv` file, and create a DataFrame called `bitstamp`. Set the DatetimeIndex as the Timestamp column, and be sure to parse and format the dates.\n",
    "\n",
    "2. Use the `head` (and/or the `tail`) function to confirm that Pandas properly imported the data.\n",
    "\n",
    "3. Repeat Steps 1 and 2 for `coinbase.csv` file."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 1: Using the Pandas `read_csv` function and the `Path` module, import the data from `bitstamp.csv` file, and create a DataFrame called `bitstamp`. Set the DatetimeIndex as the Timestamp column, and be sure to parse and format the dates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
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       "      <th>2018-01-01 00:00:00</th>\n",
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       "                         Open      High       Low      Close  BTC Volume  \\\n",
       "Timestamp                                                                  \n",
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       "\n",
       "                        USD Volume  Weighted Price  \n",
       "Timestamp                                           \n",
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       "\n",
       "[129540 rows x 7 columns]"
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     "execution_count": 88,
     "metadata": {},
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   "source": [
    "# Read in the CSV file called \"bitstamp.csv\" using the Path module. \n",
    "# The CSV file is located in the Resources folder.\n",
    "# Set the index to the column \"Date\"\n",
    "# Set the parse_dates and infer_datetime_format parameters\n",
    "bitstamp = Path(\"./Resources/bitstamp.csv\")\n",
    "bitstamp_df = pd.read_csv(bitstamp, index_col=\"Timestamp\", parse_dates=True, infer_datetime_format=True)\n",
    "bitstamp_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 2: Use the `head` (and/or the `tail`) function to confirm that Pandas properly imported the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
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       "                        Open     High      Low     Close  BTC Volume  \\\n",
       "Timestamp                                                              \n",
       "2018-03-31 23:55:00  6935.01  6939.07  6922.56  $6922.56    1.044354   \n",
       "2018-03-31 23:56:00  6922.02  6922.02  6918.00  $6920.32    3.069539   \n",
       "2018-03-31 23:57:00  6920.33  6936.42  6920.33  $6934.72   28.239049   \n",
       "2018-03-31 23:58:00  6927.65  6929.42  6927.65  $6927.65    0.839507   \n",
       "2018-03-31 23:59:00  6929.98  6929.98  6928.00  $6928.01    0.209363   \n",
       "\n",
       "                        USD Volume  Weighted Price  \n",
       "Timestamp                                           \n",
       "2018-03-31 23:55:00    7240.034602     6932.550078  \n",
       "2018-03-31 23:56:00   21245.076275     6921.260233  \n",
       "2018-03-31 23:57:00  195789.408220     6933.286106  \n",
       "2018-03-31 23:58:00    5817.007705     6929.080007  \n",
       "2018-03-31 23:59:00    1450.735763     6929.289993  "
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     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use the head (and/or tail) function to confirm that the data was imported properly.\n",
    "bitstamp_df.head()\n",
    "bitstamp_df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 3: Repeat Steps 1 and 2 for `coinbase.csv` file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read in the CSV file called \"coinbase.csv\" using the Path module. \n",
    "# The CSV file is located in the Resources folder.\n",
    "# Set the index to the column \"Timestamp\"\n",
    "# Set the parse_dates and infer_datetime_format parameters\n",
    "coinbase = Path(\"./Resources/coinbase.csv\")\n",
    "coinbase_df = pd.read_csv(coinbase, index_col=\"Timestamp\", parse_dates=True, infer_datetime_format=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
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       "                        Open     High      Low     Close  BTC Volume  \\\n",
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       "\n",
       "                       USD Volume  Weighted Price  \n",
       "Timestamp                                          \n",
       "2018-03-31 23:55:00  40243.918480     6935.869979  \n",
       "2018-03-31 23:56:00   4331.620701     6930.005567  \n",
       "2018-03-31 23:57:00   5382.532162     6932.405747  \n",
       "2018-03-31 23:58:00    925.356547     6936.048538  \n",
       "2018-03-31 23:59:00   7022.275088     6934.070316  "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use the head (and/or tail) function to confirm that the data was imported properly.\n",
    "coinbase_df.head()\n",
    "coinbase_df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare the Data\n",
    "\n",
    "To prepare and clean your data for analysis, complete the following steps:\n",
    "\n",
    "1. For the bitstamp DataFrame, replace or drop all `NaN`, or missing, values in the DataFrame.\n",
    "\n",
    "2. Use the `str.replace` function to remove the dollar signs ($) from the values in the Close column.\n",
    "\n",
    "3. Convert the data type of the Close column to a `float`.\n",
    "\n",
    "4. Review the data for duplicated values, and drop them if necessary.\n",
    "\n",
    "5. Repeat Steps 1–4 for the coinbase DataFrame."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 1: For the bitstamp DataFrame, replace or drop all `NaN`, or missing, values in the DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>$13646.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:01:00</th>\n",
       "      <td>$13658.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:02:00</th>\n",
       "      <td>$13610.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:03:00</th>\n",
       "      <td>$13639.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:04:00</th>\n",
       "      <td>$13620.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:55:00</th>\n",
       "      <td>$6922.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:56:00</th>\n",
       "      <td>$6920.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:57:00</th>\n",
       "      <td>$6934.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:58:00</th>\n",
       "      <td>$6927.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:59:00</th>\n",
       "      <td>$6928.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>129540 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Close\n",
       "Timestamp                     \n",
       "2018-01-01 00:00:00  $13646.48\n",
       "2018-01-01 00:01:00  $13658.75\n",
       "2018-01-01 00:02:00  $13610.22\n",
       "2018-01-01 00:03:00  $13639.09\n",
       "2018-01-01 00:04:00   $13620.0\n",
       "...                        ...\n",
       "2018-03-31 23:55:00   $6922.56\n",
       "2018-03-31 23:56:00   $6920.32\n",
       "2018-03-31 23:57:00   $6934.72\n",
       "2018-03-31 23:58:00   $6927.65\n",
       "2018-03-31 23:59:00   $6928.01\n",
       "\n",
       "[129540 rows x 1 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# For the bitstamp DataFrame, replace or drop all NaNs or missing values in the DataFrame\n",
    "bitstamp_df.drop(columns=[\"Open\", \"High\", \"Low\", \"BTC Volume\", \"USD Volume\", \"Weighted Price\"], inplace=True)\n",
    "bitstamp_df                            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 2: Use the `str.replace` function to remove the dollar signs ($) from the values in the Close column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use the str.replace function to remove the dollar sign, $\n",
    "bitstamp_df.loc[:, \"Close\"] = bitstamp_df.loc[:, \"Close\"].str.replace(\"$\", \"\", regex=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 3: Convert the data type of the Close column to a `float`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert the Close data type to a float\n",
    "bitstamp_df.loc[:, \"Close\"] = bitstamp_df.loc[:, \"Close\"].astype(\"float\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 4: Review the data for duplicated values, and drop them if necessary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>13646.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:01:00</th>\n",
       "      <td>13658.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:02:00</th>\n",
       "      <td>13610.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:03:00</th>\n",
       "      <td>13639.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:04:00</th>\n",
       "      <td>13620.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:55:00</th>\n",
       "      <td>6922.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:56:00</th>\n",
       "      <td>6920.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:57:00</th>\n",
       "      <td>6934.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:58:00</th>\n",
       "      <td>6927.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:59:00</th>\n",
       "      <td>6928.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>129540 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Close\n",
       "Timestamp                    \n",
       "2018-01-01 00:00:00  13646.48\n",
       "2018-01-01 00:01:00  13658.75\n",
       "2018-01-01 00:02:00  13610.22\n",
       "2018-01-01 00:03:00  13639.09\n",
       "2018-01-01 00:04:00  13620.00\n",
       "...                       ...\n",
       "2018-03-31 23:55:00   6922.56\n",
       "2018-03-31 23:56:00   6920.32\n",
       "2018-03-31 23:57:00   6934.72\n",
       "2018-03-31 23:58:00   6927.65\n",
       "2018-03-31 23:59:00   6928.01\n",
       "\n",
       "[129540 rows x 1 columns]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Review the data for duplicate values, and drop them if necessary\n",
    "bitstamp_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 5: Repeat Steps 1–4 for the coinbase DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>13608.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:01:00</th>\n",
       "      <td>13601.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:02:00</th>\n",
       "      <td>13580.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:03:00</th>\n",
       "      <td>13550.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:04:00</th>\n",
       "      <td>13583.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:55:00</th>\n",
       "      <td>6930.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:56:00</th>\n",
       "      <td>6930.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:57:00</th>\n",
       "      <td>6933.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:58:00</th>\n",
       "      <td>6937.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-31 23:59:00</th>\n",
       "      <td>6934.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>129540 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Close\n",
       "Timestamp                    \n",
       "2018-01-01 00:00:00  13608.49\n",
       "2018-01-01 00:01:00  13601.66\n",
       "2018-01-01 00:02:00  13580.00\n",
       "2018-01-01 00:03:00  13550.34\n",
       "2018-01-01 00:04:00  13583.44\n",
       "...                       ...\n",
       "2018-03-31 23:55:00   6930.00\n",
       "2018-03-31 23:56:00   6930.01\n",
       "2018-03-31 23:57:00   6933.91\n",
       "2018-03-31 23:58:00   6937.31\n",
       "2018-03-31 23:59:00   6934.00\n",
       "\n",
       "[129540 rows x 1 columns]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Repeat Steps 1–4 for the coinbase DataFrame\n",
    "coinbase_df.drop(columns=[\"Open\", \"High\", \"Low\", \"BTC Volume\", \"USD Volume\", \"Weighted Price\"], inplace=True)\n",
    "coinbase_df.loc[:, \"Close\"] = coinbase_df.loc[:, \"Close\"].str.replace(\"$\", \"\", regex=False)\n",
    "coinbase_df.loc[:, \"Close\"] = coinbase_df.loc[:, \"Close\"].astype(\"float\")\n",
    "coinbase_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyze the Data\n",
    "\n",
    "Your analysis consists of the following tasks: \n",
    "\n",
    "1. Choose the columns of data on which to focus your analysis.\n",
    "\n",
    "2. Get the summary statistics and plot the data.\n",
    "\n",
    "3. Focus your analysis on specific dates.\n",
    "\n",
    "4. Calculate the arbitrage profits."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 1: Choose columns of data on which to focus your analysis.\n",
    "\n",
    "Select the data you want to analyze. Use `loc` or `iloc` to select the following columns of data for both the bitstamp and coinbase DataFrames:\n",
    "\n",
    "* Timestamp (index)\n",
    "\n",
    "* Close\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>13646.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:01:00</th>\n",
       "      <td>13658.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:02:00</th>\n",
       "      <td>13610.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:03:00</th>\n",
       "      <td>13639.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:04:00</th>\n",
       "      <td>13620.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Close\n",
       "Timestamp                    \n",
       "2018-01-01 00:00:00  13646.48\n",
       "2018-01-01 00:01:00  13658.75\n",
       "2018-01-01 00:02:00  13610.22\n",
       "2018-01-01 00:03:00  13639.09\n",
       "2018-01-01 00:04:00  13620.00"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use loc or iloc to select `Timestamp (the index)` and `Close` from bitstamp DataFrame\n",
    "bitstamp_sliced = bitstamp_df.loc[\"2018-03-31 23:55:00\", \"Close\"]\n",
    "bitstamp_sliced \n",
    "# Review the first five rows of the DataFrame\n",
    "bitstamp_first_five = bitstamp_df.head()\n",
    "bitstamp_first_five"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>13608.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:01:00</th>\n",
       "      <td>13601.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:02:00</th>\n",
       "      <td>13580.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:03:00</th>\n",
       "      <td>13550.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:04:00</th>\n",
       "      <td>13583.44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Close\n",
       "Timestamp                    \n",
       "2018-01-01 00:00:00  13608.49\n",
       "2018-01-01 00:01:00  13601.66\n",
       "2018-01-01 00:02:00  13580.00\n",
       "2018-01-01 00:03:00  13550.34\n",
       "2018-01-01 00:04:00  13583.44"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use loc or iloc to select `Timestamp (the index)` and `Close` from coinbase DataFrame\n",
    "coinbase_sliced = coinbase_df.loc[\"2018-01-01 00:01:00\",\"Close\"]\n",
    "coinbase_sliced\n",
    "# Review the first five rows of the DataFrame\n",
    "coinbase_first_five = coinbase_df.head()\n",
    "coinbase_first_five"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 2: Get summary statistics and plot the data.\n",
    "\n",
    "Sort through the time series data associated with the bitstamp and coinbase DataFrames to identify potential arbitrage opportunities. To do so, complete the following steps:\n",
    "\n",
    "1. Generate the summary statistics for each DataFrame by using the `describe` function.\n",
    "\n",
    "2. For each DataFrame, create a line plot for the full period of time in the dataset. Be sure to tailor the figure size, title, and color to each visualization.\n",
    "\n",
    "3. In one plot, overlay the visualizations that you created in Step 2 for bitstamp and coinbase. Be sure to adjust the legend and title for this new visualization.\n",
    "\n",
    "4. Using the `loc` and `plot` functions, plot the price action of the assets on each exchange for different dates and times. Your goal is to evaluate how the spread between the two exchanges changed across the time period that the datasets define. Did the degree of spread change as time progressed?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>129067.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10459.842453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2315.976088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5944.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8613.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>10145.950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11444.810000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17234.980000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Close\n",
       "count  129067.000000\n",
       "mean    10459.842453\n",
       "std      2315.976088\n",
       "min      5944.000000\n",
       "25%      8613.370000\n",
       "50%     10145.950000\n",
       "75%     11444.810000\n",
       "max     17234.980000"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generate the summary statistics for the bitstamp DataFrame\n",
    "bitstamp_stats = bitstamp_df.describe()\n",
    "bitstamp_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>129322.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10449.140958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2317.197419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5882.310000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8609.230000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>10137.440000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11397.237500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17177.990000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Close\n",
       "count  129322.000000\n",
       "mean    10449.140958\n",
       "std      2317.197419\n",
       "min      5882.310000\n",
       "25%      8609.230000\n",
       "50%     10137.440000\n",
       "75%     11397.237500\n",
       "max     17177.990000"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generate the summary statistics for the coinbase DataFrame\n",
    "coinbase_stats = coinbase_df.describe()\n",
    "coinbase_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Bitstamp Price Action'}, xlabel='Timestamp'>"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ZmFEoBH3bFezAddOeTRHzo/GjZBiGUdyYUSgEo84aVWCZJVuWRMzPzc+NlzqGYRhxw4xCDDzW4zF0mFI1q2qBZcuVKRcxf/Sc0XHSyjAMI36YUYhAzxY9uaz9Zd7j39f/HnXdSKE5l25ZyvWfXF8k3QzDMBKBGYUInHPYOSzdstR73KByg6jrZpUN7+vol7W/RH0eX19MhmEYicaMQggGdh4IwA1dbmDG6hleedNqTaM+R8+WPcPmFTS05GH0nNG0fbEtz854NurrGoZhFAUzCiEY1XsUOkyDvKHGEoPZ11X2tUde65c3afGkqM7hca3x3vz3or6uYRhGUTCjEAOR3v4DOZB/wJu++7i7/fKimWSeunyqNz1t5TROfP1Ev/z1u9Z7vbcahmHECzMKBdCoSiNvunHVxlHXK59R3ptuUaNFzNedvWa23/H3K7/3Oz5j7Bn0ebePRXYzDCOumFEogLqV6haqXp2KdQp9TVXlrq/uCpJPXDDRm/513a8A5OTmFPo6hmEYgURtFETkNRHZICJ/hMgbLCIqIrV8ZENFZKmILBKRnj7yziIy1817VtyBexHJFJFxrnyGiDQtYtvigmde4ameTxWqXkHUOqQWQ78aykuzX/LKwm1sO3/8+UGyWFYyGYZhFEQsPYXRQK9AoYg0AnoAK31kbYC+QFu3zosiXmdAo4DrgFbux3POq4GtqtoSeAoYGUtDEsWr57xKn8P6cONRN8ZUr6A4zh5UlUd+eMS7b6HJ0024/5v7Q5b9d/d/B8l6vBnsjdUwDKOwRG0UVPU7YEuIrKeAuwBfn9B9gHdVdZ+qLgeWAl1FpB5QRVWnq+NDegxwrk8dT9CCCcCpEksw5ATRrnY7Puz7od8cQSx4jMPP1/4cMt/XB1Jefh4rt6/k39OCf/wBOtXrVCgdDMMwoqVIcwoicg6wWlV/C8hqAPztc7zKlTVw04FyvzqqmgtsB2oWRb9Y+HbFt3E9X6A961K/S8hy6mNLC3KSl5efV3TFDMMwIlBooyAihwD/BO4LlR1CphHkkeoEXvc6EZklIrM2btwYrbpBvDz7Zd6b9x6qyqY9mzj5jZMBOKp+fFxZhxo+qpJZJUi2LWebN/350s+D8j++5GNvOtxcw8+rQ/dCDMMwYqUoPYUWQDPgNxFZATQEfhGRujg9gEY+ZRsCa1x5wxByfOuISFmgKiGGq1T1JVXtoqpdsrOzC638dZ9cx/9N+D+em/kc2Y8dPM/Pa+LzA+vpKXSu39kr631o74h11u5a63d8weEX0PvQ3sy5fg4A5447N2S9Gz69ofCKGoZh+FBoo6Cqc1W1tqo2VdWmOD/qR6rqOmAS0NddUdQMZ0J5pqquBXaKyDHufEE/4CP3lJOA/m76QmCqFkPsyn9N/VdCzltGyvDDVT/w5eVfemX3nRiqU3WQwM1o7y94Hwh2rnfRexf5HW/cU/gek2EYhi+xLEl9B5gOHCYiq0Tk6nBlVXUeMB6YD3wO3KSqngHxG4BXcCaf/wQ+c+WvAjVFZClwBzAkxrYUip37dybs3N0adaN6here48NqHca3V4afu/h0yad+x22z2wL+8xM3fnojE+ZP8CtXPas6hmEY8SC8f+cAVPWSAvKbBhyPAEaEKDcLaBdCngNcFCgvaezYtyPqsg91fwiA7TnbvbJRs4ID/AzuNrjoihmGYVBKdzQv3rw4bN7FbS9O6LWXb10eddmte7cCBYf2DBcP2jAMI1ZKpVGI5Lr63QvfTei1A30YRaJchqNnnkZeiurrfM8wDKMolE6jkBFdPINEcGjNQ6Mue2n7S4Hwy2TfPv9twOI9G4YRP0qlUYglglq8ObXZqQCc2OTEAkoejN/QoEpofU9qehIAB/Ksp2AYRnwolUYhmd4zDqt1GIBf7OdArul0DTos8mrcf3f/t3cYbOCnA+OnoGEYpZpSaRTCEemHOl7Ur1yfvPvygqKx+XLe4ecVeJ6hJwxN6jCYYRglk1JrFEKF1hx6/NBiu3a43soJjU/gzFZnRqz/20DH1ZTvprYte0P5KjQMw4iNUmsUKpevHCRrk90mCZr488hpjxRYpnWt1oD/Kqqajxab70DDMEowpdYoBMZNhuTONXjw7E2IhMeNtw0fGYYRb0qtUbjruOBwl6lAzUNCv/E/0+uZIFmoIbBYGffHOBZuWljk8xiGUTIotUYho0zq7AL2nXQON4R169G3osO0wFVJsbAvdx993+/L4S8cHrdzGoaR3pRao5BKVCxX0ZuuULZCsV13yvIp3vTsNbOL7bqGYaQuUTvEK8l80/8bKpQrvh/jQHw9qQa6yY6WgZ1j36vw5PQnvekPFnzgF/vBMIzSifUUcHYGd23Qtdiv64mqdtsxt9GprhN/ubCT3RXLVyy4kA+LNi3y6yn8ufXPQl3XMIySRanuKez/1/6krjjqfWhv7xzB1P5T+Xv73wXUCE8kJ3+hGDrFf09GvUr1Cn1twzBKDqW6p1Auo1yhh2viTbWsarSv0z7melllswDI1/yY6k1cONHv+OkZT8d8bcMwSh6l2iiUBPb+cy9ZZbNQEh651DCMUoAZhRJATm4Oj/34GDv3JS60qGEYpQMzCiWIWAL4GIZhhMKMQgmiqD2FWOclDMMoeZhRKEH0fb9vkern5UcO+2kYRsnHjEIppXpW9SCZud82DMOMQimlabWm1DqkFgtuWuCV1X2iLku3LE2iVoZhJJuojYKIvCYiG0TkDx/ZYyKyUER+F5GJIlLNJ2+oiCwVkUUi0tNH3llE5rp5z4q7e0xEMkVknCufISJN49NEI9RcQ57mcXzj472xGTwEbmozDKN0EUtPYTTQK0A2GWinqh2AxcBQABFpA/QF2rp1XhQRj1vSUcB1QCv34znn1cBWVW0JPAWMjLUxRjBz18+lyiNVePqnp/3kufm5ZEiwp9gJ8ycUk2aGYaQiURsFVf0O2BIg+1JVc93Dn4CGbroP8K6q7lPV5cBSoKuI1AOqqOp0VVVgDHCuT5033PQE4FRJhag3ac6/p/0bgNu/uJ1VO1Yhw4Xpf08nLz/Pu5t78LGDk6miYRgpRDznFK4CPnPTDQBfRz6rXFkDNx0o96vjGprtgMWYLCLv/vGuN/2PL/8BQLfXujk9BTemRHbF7ITqMHLaSGS42XfDSAfiYhRE5J9ALjDWIwpRTCPII9UJvNZ1IjJLRGZt3LixMOqWWsbPG+9N78/b7+0peMJ7epixagbXTrqWeDFkyhAApi6fGrdzGoaRGIpsFESkP9AbuMwdEgKnB9DIp1hDYI0rbxhC7ldHRMoCVQkYrgJQ1ZdUtYuqdsnOTuwbbjqyec9mb3rZ1mVhy/2942/G/DYGgOMbH++Xd8yrx/DKr6+wePPiuOp26phTbXWTYaQ4RTIKItILuBs4R1X3+GRNAvq6K4qa4Uwoz1TVtcBOETnGnS/oB3zkU6e/m74QmOpjZIwoeX/B+950i2dbRFWnSmaVkPJtOdvioZIfrZ5rRavnWsX9vCWZX9b+wgszX0i2GkYpIZYlqe8A04HDRGSViFwNPA9UBiaLyBwR+Q+Aqs4DxgPzgc+Bm1TVs132BuAVnMnnPzk4D/EqUFNElgJ3AEOK2rjSyPWfXB9znVY1Qv9InzT6pLB1tudsR4YLHyz4IObrWW8henJyc+j8Umdu/uzmZKsSNZv3bDaXKWlM1MEEVPWSEOJXI5QfAYwIIZ8FtAshzwEuilYfI36EW+SVk5sTts7939wPwAXjL0CHKRt3bySrbBaVMyv7lVu7c23c9CxtzN84n7Yvtk22GjGxbtc66j3hBGzyBJAy0ovUiDBjxJV8zWd/3v6Y6my5aws1Hq0RdfnfN/zud1z78dqA/w9Bbn4u9Z+sH5MexkHSySBsy9lG9ZH+rlNUNamRDY3CYW4uSiDrdq3jovcK7nQ9f8bz3nT1CsG+kMKxdufaqFYSdX+je9g8c74XmVC9tFSaYlu+dTm79u/yHjd5uklQmfW71xenSkacMKNQAmnwZAM+WfxJgeVuPOrGmM+9aNOiiG//vj/2gfEdfJ3wRWO0SjMVRlQIkuXm54YoWfx0f6M7zZ9tTuWHKzN7zWzW7FzDjn07kq2WESfMKJRiYunar9+1nv15+5m0aFJQnq9rjCenPwmEHvrYcvfBFcaBMaKNgjmQfyDZKvDNim/4esXX3uMuL3ehwZMNQpbdl7uvuNQy4ogZBaNAcvNzqftEXTIfygw5rOH71r92lzOxPH/j/ALPaz8asZHsnsKBvAOc8sYpBZYbddYoAJo+0zTBGhmJwIyCUSC+k9Y790eO7talfpeQP147hwbXyxqRVXTl0pgfVv6ADBfvSi4PCzYuCFl+yeYlxaBVeBZsCq1XrUNqAfB0z6fRYcq/v/+3N8/cm6QfZhRKABXKBo8/xxPfeYJXfnklYtnLPriMcg+W85PpMKVS+UoAtK/d3i+vNP9oDP92uN9fD21ebBOyfJeXu7Bxd/Jcu4RbXLBpzyYABh0zCIBDax5abDoZ8ceMQglg/eDErPI4vcXpgP+wxdacrUU658eXfFyk+iWJycsmF1imezP/FVyepb/FRbdXuyHDhYGfDOT2L273yrcP2R62zstnv+xNX97h8oTqZ8QfMwolgMqZlTn/8PNjqvPGuW8Eyb68/EsA3jzvTapmVqV1TScATzzHsptUC1666PHBZAQzpd+UINmG3Rvifp19ufuC5ng279nM9FXTAfjv7P965W+f/3ZY1ygAzao3Y8ktSxCEGlnR730xUgMzCiWEJ05/Iqpy57Y+Fwi95r1Hix78ddtfXN7hcspIGfI1n+0528POI5zW/LRC6+tL/w/7e4cgSjs1Rgb/iN7Q5Qa/4z0H9gSVKSrVR1YP2rzYflT7kGVb1mgJwMrbVoY9X8saLamSWYVnZz7Lul3r4qeokXBsR3MJoYxEtu+encYbd2+kZoWaXNzu4pDlGldtDDjDREu3LqXayGphzzmi+wi+WvZVzLqu+8c6vlr2FZdPPDi0kP1Ydqlzi9CsWjOWb1sOOG/qmWUz/Ybn+rbrCwS7Nt97YC9/bPiD5tWbc0i5Q4qsx4G8A+zN3Rsk96wkC6RL/S4ANKraiPWD11OjQg2vG3Zftu9zhpjqPVGv1D3bdMZ6CiWEgoyCh+yK2bxyzitklS145c/nSz+PmN+1QdeorhlInUp1uKzDZYWqWxLYsW8H8zbM8+sdZY3IotFTjfzKjT3fCU/y4s8v+slX7VhF+1Ht6flWT+JBrL003/0ttSvWDmkQAjn6laNj1stIDmYUSgih4i0nktF9RgOwfJDzpvu/S/8XslzDKg1DykszVR+pSrtR7YKG5VbtWOV37DH0vw38zU/+yq/OCrBpK6cVSY8te7cgw4UrP7oyKO9AXnw3ys1cPdM8p6YJZhRKCJF6ColYstq/oxP6omm1pugwpVXNYPfbAzoOYP6N4Texed6EjWDy7zv4A3p49uF+eb4R9IpC7ceclUxf/vnlweu6P9zNnmnmlXlWoQEsvGlh1Odvk+2/tPbS9y8tlJ5G8WJzCiUET7zlUFzV6aqEX18CoqmuvmM19StH9pB6aftLqV+5flS7ZEsbxeFdNE+DnRK+/uvr7Dmwh9U7V3tlX1z+BY9Me4Ste7dyWK3Doj7/r9f/SuZDmd7jcfPGcVars7jiiCuKpriRUMwolBDC9RSaVWvGrUffWszaUKBB8HBy05MTq0gacln74PmWzy/7nF5jeyX82td8fE1I+ZDjY495FThBDtDvw35mFFIcMwolhHBGYdmg8HGa44nvm+0/jv1HsVwzHfnfktBzL77UqVgnSNazZXwmlWNlw+D474kwUhubUzBi5vPLIq9KapudPsFhips+7/YpsMyTPz0ZUh7NCrMLxl+ADBe254TfcRwL2RWzi1T/0dMejYseRvFhRqGEUBwBWI5vfDwAHet2DMqrW6muN31J+1CRWwtm74HgtfIlDd/d4eXKlItQMpgTm5xYYBlPzOxbPrslbJmxv48N8jkVakd87YpFd6lx53F32h6FNMOMQgnB43Aukdx81M2sH7yeOpWChzd8N1FFswciFHdNvqvQuqUbL5/9MusGh97pG253eqRd60/8+ITfD33rWq1Dltuft99v0yDAtru38fb5bweVTcSqtXB6GamDGYUSQrmM2N46C0N2xey4vD2G4/mfn+ezJZ8x6LNBCbtGMli+dTm79+8GoEFlJyDNlR2vpEaFGvQ+tHdQ+duOuS3keY6sd2SQbM3ONQAMnjzYTx6uV3Hjp8HR9qpmVSWzbGaQfPjJw4NkhWXb3dvo0bxHSoUUNUJjRqEEUxQXCL9c90uQrHL5yhHrnNTkJIadNKzQ1wQ48+0zeXbms0U6Ryqxascqmj/bnEoPOz05z1JPzy7ga4+81lu2e7PuTBswLerd6UDY5bzhNp+9+uurYc8VOMzT74h+UetREFWzqlLrkFq2gS0NiPrbJyKvicgGEfnDR1ZDRCaLyBL3b3WfvKEislREFolITx95ZxGZ6+Y9K+6yFRHJFJFxrnyGiDSNUxtLLUVxnNapXqcgWUFr1L+58hvuP/n+Ql/TlzG/jWHoV0PT+kckJzfHz3XFyu3BDuQ8wylNqzVlSr8pHNf4uIjn/O7K7/yOF29eHLLcki3RBeRpUtXfa63He+64C8fFfa+Ex8mikdrE0lMYDQQulB4CTFHVVsAU9xgRaQP0Bdq6dV4U8fphGAVcB7RyP55zXg1sVdWWwFPAyFgbYySWSO6Si8LNR90cJOv/YX8e+eERMh4oXvcd8WTX/l1+x02eDnYb7olaFmpvQihOaHJC0Bv9tZOuDSp3/SfXR3U+j5sSD/2O6Mf8G+fzf23/L6r6sVBGyrBl7xY279nMQ9895BfRz0gdojYKqvodsCVA3AfwOOZ/AzjXR/6uqu5T1eXAUqCriNQDqqjqdHUGF8cE1PGcawJwqhTHts4SxPYh27npqJuSrUbMXNq+ZLo/iOZHr0aFGmy9eysPnPJAoa/j8YUUDXcfdzcApzQ9hcd6PBayNxDoViNelJEybM3ZSq3HanHv1/dy9jtnJ+Q6RtEo6pxCHVVdC+D+9cxCNgD+9im3ypU1cNOBcr86qpoLbAdqFlG/UkWVzCrcc8I9cTtfvUr1qJpZNW7nC0eyA9Iniq17o4tSVy2rWkzzCAD3nXhfYVQiQzLIkAym9p/K4G6DC64QRwLb6OtzyUgdEjXRHOoNXyPII9XxP7HIdSIyS0RmbdyYvHi1qUqo3bCFZc0/1rBtyLa4nS8cJXEY4cOFH9JuVLuQeeMuHFfk8xd2bP5A/oFiWakWit0HdgfJ4u2N1Sg6RTUK690hIdy/nj3xqwBf5/ANgTWuvGEIuV8dESkLVCV4uApVfUlVu6hql+zsou22LIlEcoxXWL64/Au+uPyLuJ/Xw768fQUXSjOumRTahxAQl/H6SEM8Xep38fqUGvTZIF6a/ZI370DegZg3zcWLUN5d526YG3X9z5Z8xvnjzrdlrQmmqL6PJgH9gUfcvx/5yN8WkSeB+jgTyjNVNU9EdorIMcAMoB/wXMC5pgMXAlPVnn5K4Os6OREkIrxkstm8d3NI+cVtQ0e8i5VQ+xDeueAdcnJzGPDRAMAJbDNz9UwArut8HVOXT2Xbvm0hHdUli1h6Cme+fSYAvcb2SuhLSmknaqMgIu8AJwO1RGQVMAzHGIwXkauBlcBFAKo6T0TGA/OBXOAmVa+f3htwVjJVAD5zPwCvAm+KyFKcHkLfIrXMSGs61OnA7+t/T7YacaFXy17eKHaeJZ9FxbNqyRdP+E6PUfAYBIB5G+Zx6phT43LteBLNUNa2nG0M+vzghkabi0gsURsFVQ3n0CbkN01VRwAjQshnAUGDraqag2tUjPjw6/W/JluFqAjsibx9/tuc1vw0aj+euN3TieTn1T/7HX98yceUe9D58Qu1c7gwZJXN4o5j7gjrPC+QcPMbySaawYDqI6sXWMaIH7ajuQTTrFqzggulAFUyq/jtnr2k/SVkV8zmvNbnxbwqJxW49+t7/Y7LlinL0luWMv3q6XG9zmOnPxbX8yWDUIF+CuKkJiclQBPDg8VTKMGk0w9qoyqNgmQVy1ckX/PJ1/y0asvfO/4OkrWo0YIWNVrE9TplpAxZZbPIyc1h7g3RT9imEoVZjmxO9RJL+vynGTGTiJVIiaJDnQ4A3H/S/V7ZW7+/BcBHCz8KVYW8/Dym/x3ft+94MH/jwbjUjas2Tui1dt+zm5W3raRd7YPDQ6E8nqYa7Wu3B4IXGQz5aggDPxnIp4s/DVs3Lz+Pv7b9xaJNixKqY2nFjEIJJp3eri9qcxFjzh3D0BOGBuUt3BQcLF5VKftgWbq91o1f1gY770sVvh/wfULPX0bK0Kiqfy/LM+Gcagzo6EyA7xy6k6d7PQ1Ajzd7kJfvDCGt37WekT+M5L+z/0vvd4K9x3rI1VyaPtOU1i9YjyERpM+vhhEz6WQURIQrjrgi5HLJf339ryDZd38ddAz39E9Ps3PfzoTqFy1v/vamN/16n9cT3lMIhYh4g+ac1vy0oPwzW51Z3CoB8Oo5r5J3Xx6Vylfy2ytxwfgLAKj7RF2/8p7occ2rN/eT+w45Hcg7wNTlU1Pm+ZcE0udXw4iZDEmf4aNIhNq9+9nSz7zpN39/kyqPJMZZXyyoKv0+PDhhHk/X07Ey6qxRXHD4BUy4aIJXVrl8ZW47+jbGXxi8iaw4EBHvi8rGPQe9EXy0KPTw4Npdazn9zdNZttWJM+6JReEZVgQo/1B5Th1zako8/5KCGYUSTDr1FELx8KkPe9OeHwYPEtIrSnIJ3LGbzPtfu2JtJvzfBKpmVaVrg64ArLx9JU/1eoqK5SsmTS8Pm/ZsKrDMyu0rmbxssvd41R2rIpQ24kV6/2oYIel/RH+AuPvDL25ycnO86RbP+q/c6d6se3GrUyAv//JyslUIyfSrp5N/Xz7VsqolW5WwTFo0KUi2fOvyECXD89gPiVuiu2nPJi4Yf4F3/qMkY0ahBPLqOa+yY8iOZKtRZK7qdFWQbMW2FagqG3ZvCFEjPuTl5/kZpGi5sM2F3nTuvanj+bWMlEm5F4TA2Bx93u0TVGbgpwNjOuddXyUmxrcMF7Ify+aDBR8w/Nvh3rmOkooZhRJIRpkMKmdGDp2ZDgTGg/7HF/+g2TPNuP+b+4OCz8eTSz+4lAojYg9aX79yfQB+vvbntFoOnAyi3WvQq6UTg+u2o29LoDbhCXSp8eB3D1JtZDVW71idFH2KAzMKRsqSVTbL79jj0iFSnOGiMmvNrJDePAP57q/vaPdiOz83DR7nbqnkcC5V6Vi3I3/fHrzJD6Bzvc7edPYh2WRIBo/2eLS4VPOyc99Oer7VM2Rew6ca+h3n5ufy8aKPmbFqBjJcePzHx4tDxYRgRsFIO7blbAspD7WfIVaOevkob3r9rvVhy500+iTmbZzHe/Pf88re/sPZNJYs19TpRsMqDYNk1bKq8d0AZ7nxDV1uIE/zaFqtqddx3rCThgXV+d+l/6Nd7XbeZbjxYt2udVGXffj7hznn3XM45tVjALhz8p38te2vuOpTXJhRMNIO32Atvi6UI8UwKAyhgv/k5efxwswXvMcXT3BcYW/cvZEPFnwAROf50wjNp5d+yiHlDgFg1KxR7Ni3w28oLtQeizNanUFmRib7cuMbl+OqScFzWuGYsGBCkOz9Be/HU51iw4yCkdb4elj94e8f4nruxk8Hbzwr+2BZbv7sZu/xEXWOAPDz6GrRxArPNyu+8Tv+ZPEnLN682HvsGa7r2qAr7Wu3Z9DRjkvtfXn7+HTJp4VaIBCOaSunedPntj7XL++kJidxIO+Adw9N71bBO7A98yHphjnEM1Ka8hnliy1c5xtzYo918Nv631iwcYGfrG6lumFKGwVRs0LksOwe1+OVy1dmxjUzvPI/NvwBQIURFdBhhY/NtXTLUlrWaOkn+/GqH2lSrQkfLvzQK/v2r28p/5Azd6TDlLfmvkUghQ2Zmmysp2CkNN0adUvYufM1388h25UfXRmyTEG0ebGNN/3eRe9RvYL5/y8sVx95dcT8I+ocwWM9HuOt84N/hIvK+HnjafVcK8b+Ppbpf0+n96HO2/+xjY6lfuX6vH3+26wfHDzPNPSroazcvjJI3vvt3mzL2YYMFyYumBh3fROFGQUjpbn5qJsLLBOL4bjv6/t4+Htnp3TGAxlU/HfFiMM9gb2HwGGEQC44/IKodTGCKVsm8uCFiDC42+CYemMH8g5w4fgL/YaDQvHwNOd7cfnEy+n2Wjc+WfyJX/4l7S8JWiYN8MgPj3jT0wYcvMZf2//yBgg6f3x8J8ETiRkFI6WpU6lOgWXePO+gE7qCdpw++N2D3DP1Hj/Zki1LAGf5YyBXTbqKhk86q2R+WPmD3xBCKFJtk1g64TvsU6HswX0iHrfqkbi+8/UAtM1uG5T35PQneX/B+5zw+gkRzzFn3Zyo9Hy9z+th845rfBz/7f3fqM6TqphRMFKaSE79Xj7bcSvh6wfpn1P/GfM1hk5x3HWH81W0eudqnvjxCY5//fiYz21EJlwUNc8kbe2Ktflt4G8Fnuc/vf9Dm+w2ITfFDZkyxJuu9WhwbOtYubT9pSHlU/pNAeCaI0OvgpPh6fHCYEbBSGnqVa4XNm/JZucNXzn4hvnf2dG9pS3dstSbnrRoEnn5eazfHX5fwuDJg/2O99yzJ2io6I5j7ojq2sZBwu387lS3EwAfXvxh1Of6a9tf3rf9Z356hvfnBy8JDTXf8/f2v6nzeME9Ug/lM8rzUd+PgnqWHn9ckRwhpoPvJDMKRkrTtFpT/rz1z5B5Hr/6vjELtuVsY8W2FSHL++4+bvVcK7+8e6YcHFLKu6/gf9wK5SrwTK9nDp57mPJEzycKrGf443ENEsg9J9zDT1f/xLGNjo36XLsP7ObPrX+Sr/nc9sVtXPjehchw8YvmV7ZMWU4b4x9j4qXZL4X1pbVr6K6Q8nMOO4eOdTuG1SXcCqjnZj4XuREpgBkFI+UJDLLi4YI2zpt64ORks2eahSw/Y/WMkHKAR3886EahIJfXnh3LDao0oGK5it5hLCN2XjzzRf7b+79BDgQzymRwdMOjC3XOjAf8ex/3f3u/N71w00KmLJ/it/fBd6I4kEhuxguaOzhw7wEm9Z3EvBvneWW3f3F7xDqpgBkFI22J9KYWil37Q7/1hWLixeGXEO6+5+CO6l337Ao7hmwUTOXMylzX+bpidyC4cffBID++kdw8LL55sd8+iFA0q94MHaZULl+ZazoFfwfKlinL2YedTZvsNn4Bl2S4+MXxTjXiYhRE5HYRmScif4jIOyKSJSI1RGSyiCxx/1b3KT9URJaKyCIR6ekj7ywic928Z8WWchgR8LhDiIbv//o+YjD4QCItPTU3FulPpfKVwuZ9P+B7WtVs5Q1OVBA7hu7g5XMi9xYDexVtX2zLvA3zUnKDW5GNgog0AG4FuqhqOyAD6AsMAaaoaitginuMiLRx89sCvYAXRbxLTEYB1wGt3E967hM34k6NCjW86VfPeZXBx/pP/H51xVd+x757D/bn7efE0Sfy9IynC7zO6jsOukReeVvwhiQjdZnab2rUZXfs2xF2p/zxjeO/yiwzIzNI1m5UOzIeyGDOujnIcAnZY0kG8Ro+KgtUEJGywCHAGqAP4Nn58wZwrpvuA7yrqvtUdTmwFOgqIvWAKqo6XZ0ZwTE+dYxSzseXfOxNX9XpKh473T/KVuA/8t7cvd50LCs+fCc+G1VtFKuaRhKJJczoiaNPJPMh/x/qJbcsYeOdG8PUKBqRBj06/ddZaVXuwdTogRbZKKjqauBxYCWwFtiuql8CdVR1rVtmLeDZCtgA8HWkvsqVNXDTgXLD4NiGkVeheHzieKj6SFVv2nfJaiDPn/F81DpUz6rOMQ2Pibq8UbxE2g2twxQdpiF3JHsi5rWs0ZJahxR9H0NRkOHit0ouGcRj+Kg6ztt/M6A+UFFEIoXFCmUyNYI88HrXicgsEZm1cWNirLqRehRleinSuO0RdY+IWPewmod501vu3sL0q6cXWg8jsTSqErpnd85h53jTvj1OD+UzytOieosgebx5qudTUZXz9BySRTyGj04DlqvqRlU9AHwAdAPWu0NCuH89C4FXAb5PryHOcNMqNx0o90NVX1LVLqraJTs72C2BYQQSOHxUp+LBjUqhAr348vsNvydEJyP+ZFf0/z3IvTeXu7rdxStnv+KVBU4ef7H0C/7c8meBPpfiQbva7aIq99v6gndwJ5J4GIWVwDEicoi7WuhUYAEwCejvlukPfOSmJwF9RSRTRJrhTCjPdIeYdorIMe55+vnUMYxC47smHfDbudy0WtOIdS2KWnrhG8I1o0wGI3uMDDIWvvQa24sZq2cUi1E4tdmpCb9GPIjHnMIMYALwCzDXPedLwCNADxFZAvRwj1HVecB4YD7wOXCTqnpe5W4AXsGZfP4T+Kyo+hmlBx2m9GwRHFO3oOA7j57mbFz71wn/CsoTEeZcP4ctd22Jj5JGQhl52sgCy4RysFccRkFE/HY67/vXwUhxG+/c6M2LdilsoojLnVDVYUBg8NR9OL2GUOVHACNCyGcB0fWxDCMEj/V4jC/+/MJPVtCmtTuPu5PB3QaHnbcoaN7BSB1u6XoLgz4fFLHMr9f/GrTruTiMgocdQ3awYtsKymeUZ1LfSeRpnt8E98zVM4tNl1BY5DWjRNG+TvsgWTQ7mW2fZMlARJh5zcyIy4lDuTHZuX9nItXyo3JmZe/39OzDzg5ZZsPuDSFXShUH5ubCSBs8ywqjLu8u7fvx7x/95J7dyqGCwBvpz1ENjiowCM+VHa/0Ow6cd0o2dR6vwwPfPpCUa5tRMEosb/zm7J1ctnWZv/zcN/jnCf+MyS2zUbJ47ZzXuLPbnclWIyLDvgkckS8ezCgYJZYBHw0AnCA5vlTJrMJD3R8yH0alGBHh0R6PFlywmFl6y9KCCyUYMwqGYRgpQosa/pvowvlnSiRmFIwSTbjgKYYBB92nLLhpQZI1OYiv65Uj/3skM1ZFduEdb8woGCWaIV8N8TtO9hpwI7X48eof0WEaMrZzsrip603e9LyN8zjm1YP+tp756Rkm/zk5odc3o2CUOG7teqs37YnZC3BFhytsctlIWzxhRk9/63TG/TEuYdcxo2CUOIafMtybPjz7cG/6zm53Uq9yvWSoZBhFYuzvY/023PV9v2/CrmVGwShxVMuq5k2/Pfdtb/rQmocmQRvDKDqXTwx2PF3r0cS4+TajYJQabAmqkS5kSMExqzfv3ZyQa5tRMEoNodwbGEYqMqDjgKRd2/5LDMMwUoxnznimwDLhggoVFXOIZxiGkWIcUu6QsHnfD/ienNwcTmt+WkKubUbBKBVkZmQWXMgwUpxv+n/D8Y2PT+g1zCgYpYJ9efsKLmQYKcyOITuonFk54dexOQWjVPB/bf8v2SoYRkwE7rIuDoMA1lMwSiiLbl7EYc8f5j2ukVUjidoYRuxMvmIyExdM5JRmp7B7/+5iu64ZBaNEErhRLScvJ0maGEbhaFilIbccfUuxX9eGj4xSQYPKDZKtgmGkBWYUjFJBMjcDGUY6YUbBKBVklCnYbYBhGHEyCiJSTUQmiMhCEVkgIseKSA0RmSwiS9y/1X3KDxWRpSKySER6+sg7i8hcN+9ZEZF46GcYew/sTbYKhpEWxKun8Azwuaq2Bo4AFgBDgCmq2gqY4h4jIm2AvkBboBfwoojX+9Mo4DqglfvpFSf9jFJOKgVRMYxUpshGQUSqACcCrwKo6n5V3Qb0Ad5wi70BnOum+wDvquo+VV0OLAW6ikg9oIqqTldVBcb41DGMmKl1yEHXwtbpNIzoiEdPoTmwEXhdRH4VkVdEpCJQR1XXArh/a7vlGwB/+9Rf5coauOlAuWEUitNbnJ5sFQwj7YiHUSgLHAmMUtVOwG7coaIwhHpl0why/8oi14nILBGZtXHjxsLoa5QSfAOgG4YRHfEwCquAVao6wz2egGMk1rtDQrh/N/iU9/X52hBY48obhpD7oaovqWoXVe2SnZ0dB/WNkkr1CtU5+9CzefO8N5OtimGkDUU2Cqq6DvhbRDw+BU4F5gOTgP6urD/wkZueBPQVkUwRaYYzoTzTHWLaKSLHuKuO+vnUMYxCMemSSVzeITiUoWEYoYmXm4tbgLEiUh5YBgzAMTjjReRqYCVwEYCqzhOR8TiGIxe4SVXz3PPcAIwGKgCfuR/DMAyjmBBnoU960qVLF501a1ay1TAMw0grRGS2qnYJlWc7mg3DMAwvZhQMwzAML2YUDMMwDC9mFAzDMAwvZhQMwzAML2m9+khENgJ/FeEUtYBNcVKnuEln3aMl3duYzvqns+6Q/vpHQ1Ha2ERVQ+7+TWujUFREZFa4ZVmpTjrrHi3p3sZ01j+ddYf01z8aEtVGGz4yDMMwvJhRMAzDMLyUdqPwUrIVKALprHu0pHsb01n/dNYd0l//aEhIG0v1nIJhGIbhT2nvKRiGYRg+mFFIccTiSKY89oySh937+FOijYKIZLh/0+qLIw63i0hDLeHje/aMkkO63ndI/3sfLcl6RiXSKIjIlSLyKzAo2brEioj0A74GOgE70vGfNhrsGSWHdL7vkN73PlqS/YxK3ESziLQGxgBfAO2BO1R1mYiUUdX85GoXGRE5Dvge6KqqswLypKS8FdkzSg7pfN8hve99tKTCMyoRPQURqexJq+pCnFCeT+FEd7vZlafkl97TRQRQ1R+AGcDhbt4QETlbRCql+xfenlFySOf7Dul976Ml1Z5R2hsFERkC/CoiI0XkSle8SFW3ABOBFiJyols2pdorIg8A94mIrw+SgcAbIjIHqIYT6vQx9w0iLbFnlBzS+b5Det/7aEnJZ6SqafsBugPfAc2AU4C1QAef/ErAbcBYH1lGCuidCQzFceY3ETg9IP9GoLObzgY+BHomW297RunzjNL1vpeEe5/uzyjl3g5ipBzwq6ouV9WvgWeAh33ydwMTgF0i8qCIPAo0LX41gzgAfAK0AX4CThGRZp5MVX1RVWe76Y3AFqBGMhSNA/aMkkO63ndI/3sfLSn5jNLdKBwC1BSRLABVfQSoJyIXuccK5OBM2NwAbFTVP5OlrAd1xgcXq+puYBzQEOgqIplwcAmaiNQQkSeADsDPydK3iNgzSg5ped+hRNz7aEnJZ5QWRiHcsjNVnQi0AHr7iB8F7vA5fhiYBzRW1ccSpmQYIui+z/27ApgGnAS0dmXqvhmNw3mbOElVlxaLwoXEd7LMd+wzTZ5RON1T/hmJSA2fdFrdd4iof8rf+2gRkcNDyVP2GRXnGFqsH6AP8AbQMUAuQKab7oszLtfUPW4MvABUdo+zUlD3MuozPghUAZ4DLgWuAM525TWT/QyiaOcZOOvGxwD/9JFnpMEziqR7Sj8joJd7T8cAT/jIy6T6fY9C/5S+9zG28zlguecZpMMzSvpNC3ETPXsnTgF+B2bjdJ2q++a76ebuj+wDwCvATcDnwH/SRPdqPse3AluBpcCZyX4OBbXT/eEciNNtPxM4Gmcc+KqAsin3jGLUPWWekY/u1+GMtfdxf0S+Ac5I5fteSP1T5t7H0saA47HAL8A1HkOQys9INcWMQsCPZlOgHs4M/WicLqInrwwwBNgInABUBY7DeTO/M010X4vzpio43eJlwD3JfgYxtvNMoJXP8W04m21w//lT+RlFo3vKPKMA3dsAZd10bWC8++PqebP+Zyrd90LqnzL3vpBt9LTlFuBanB5pO5/8u3FCaabMM/J8ypIiiMjNwKki8h3wjjpjiQBrRaQncJKILFXV1UBdYDtwqKpudcv9ICI/qWpemujexqO7iKwA2qszsZay+LTze2CMqv5PRDJEpKyq5uJsKlroFq9Naj6jWHRPiWcU8P16V1Xnu/JOOEMNZXF+ZPYCg0mh++7qWRj9U+LeR4tPG78FxqvqGhEpjzNM1h/nJbGviMzEWWq7A+elJCWekR/Jtkqu1TwPpyt/CvA68DxwhE/+EcBbwHkh6mYQ0GVLI93LJvveF7GdHX3bgdMr6pYmzyha3ZP6jCJ9v3CGHxq76Uo4P6adUuW+x0H/tPj/CNPGI9284e7fS3AMwQJ85kJS4RkFflJl9dHRwCh11urejzMxM8iTqaq/4dz09iLS3d0F6PF3kqfu3U0SRdE9Nwn6FpZQ7bwVQFVz3eWCjYDZItJQRK6FlH5G0eqe7GcUSvfbAFR1maqudNO7cFbj1ICUue9QNP2Tfe+jJVQbb3TzznJ7p3cDH+HMpeyGlHpGfiTVKPgs11yGs7IAVf0L+BSoKCLn+BR/B2eyZhxQszj1DEU66x4LUbSzj5vfGqdtg4BJpMBmohKs+yEB3y9E5F9AW5zliyT7hybd9Y+GAtpYTUSOxdmQ9qOqdlTVK3CGjw93y6ZkG4vVKIhIVZ+0r1fDCcAen3/StTgrEtqIQyWcmzsXZxv4nVC8NzWddY+FQrTzcPefoznOl70ZcJaqjoSUf0bprHsbt+wZIjINOBS4UFXXFZfOvqS7/tEQYxunAifiuKi42+c056nqr8WicCEpFqMgIkeLyEfAyyJylYhkqqrKQQ+IW3F8nNzg3uztOGOMWe6NzwEGqepZqrq2OHQuCbrHQhHaWcFt51LgeFW9IY2eUVrr7uYvAAaqar9kfL/SXf9oKGQbK+L8BuSLs6ChDICq5iSnFdGTcKMgIh1wVhhMcD/dgZYAenCmvQKO//C1wEsiUh8niMYBt1yuqm5ItK6BpLPusRCnds5V1WJ3NVCKdd/vlluhqn8Us+pA+usfDUVsY66nnKawe/JAiqOn0BlYqqpvApOBLGClZzxORB7EsbJ1gH8A64G3gW3AI8WgXyTSWfdYKEo7Hw51wmKktOqeCt+vdNc/GkpDG/3R+C/POgk42ue4NrAPGAGswpl9fw1nPXIWzg1sGXCOQ+KtV0nXvbS003RP3vcr3fW3NkZ5D+J4MysDH+C4sX0N17WDm9caGAn087nx/8Ndy+vKyiTxi5C2upeWdpru9r2xNhbPJ57DR/txZtwvB9YAF3ky1Akx1xrH0oLjE2gNzhZ2JPkxYtNZ91hI53aa7skj3fWPhtLQxqgoklEQkX4icpKIVFPH1e0rwFfAYqCLiBzqU/xLYJg7FtcXaIfj+4Nk3NB01j0W0rmdpnvyvl/prn80lIY2FgaPV8/oKzg3pS7OWFo+8CfO8qtBqrrJLdMKx9/HPlV90JVVAF7CGaPLAG5V1wdKcZHOusdCOrfTdE/e9yvd9Y+G0tDGIhPjuJvH89+hwFtuuiyOz/D3A8qeB7wItMKdeHHL1k3GOFk6615a2mm6J+/7le76Wxvj94nKS6qIlMXx+Z0hIv/DCXqRB17fMbcCa0TkJFX91pVPFCfi0GdAJRE5RVUXAMW6YzGddY+FdG6n6Z6871e66x8NpaGN8aTAOQUROQlnYqU6zs7PB3E2/ZwiIl3B6w7gARxnUJ56F+H4Rf8ax73DgngrXxDprHsspHM7Tffkfb/SXf9oKA1tjDtRdLlOAK7wOX4RJ5rYlcBsV1YGZ5xuPNDMp94JyewGpbPupaWdprvpb21MrU80q49mA+PloJ+PH3B8oI/G6Y7dos7se0MgT1WXA6jq96r6fRTnTyTprHsspHM7Tffkke76R0NpaGNcKdAoqOoeVd2nB/189MAJ9QcwAMfT5Cc47qF/SYyahSOddY+FdG6n6Z480l3/aCgNbYw3UYfjdC2t4vj4mOSKdwL34KzZXa5OuMmUI511j4V0bqfpnjzSXf9oKA1tjBexbF7LB8rhbNjo4FrXe4F8VZ2W4jc0nXWPhXRup+mePNJd/2goDW2MD7FMQADH4NzcacDVyZ4QKS26l5Z2mu6mv7Ux+Z+YdjSLSEPgCuBJdbaFpw3prHsspHM7Tffkke76R0NpaGM8iNnNhWEYhlFyKdYYzYZhGEZqY0bBMAzD8GJGwTAMw/BiRsEwDMPwYkbBMAzD8GJGwSg1iEhNEZnjftaJyGo3vUtEXkzgdU8WkW6JOr9hxJOo3VwYRrqjqpuBjgAicj+wS1UfL4ZLnwzsAn4shmsZRpGwnoJR6nHf5D9x0/eLyBsi8qWIrBCR80XkURGZKyKfi0g5t1xnEflWRGaLyBciUs+V3yoi80XkdxF5V0SaAgOB291eyQkicraIzBCRX0XkKxGpE+O1V4jISBGZ6X5aJuXGGSUSMwqGEUwL4CygD/AW8LWqtgf2Ame5P87PAReqamfgNWCEW3cI0ElVOwADVXUF8B/gKVXtqI475mnAMaraCXgXuCvaa/uU26GqXYHngafj3H6jFGPDR4YRzGeqekBE5uIEaf/clc8FmgKH4XjWnCwiuGXWumV+B8aKyIfAh2HO3xAY5/YuygPLY7i2h3d8/j4VcwsNIwzWUzCMYPYBqBN85YAe9AWTj/MiJcA8982/o6q2V9XT3TJnAS8AnYHZ4sQHDuQ54Hm3B3A9kBXDtT1omLRhFAkzCoYRO4uAbBE5FkBEyolIWxEpAzRS1a9xhoSqAZVw/PZX9qlfFfC4au5fSB0u9vk7vZDnMIwgbPjIMGJEVfeLyIXAsyJSFef/6GlgMfCWKxOceYRtIvIxMEFE+gC34ASIf09EVgM/Ac0KoUamiMzAebG7pKhtMgwP5iXVMNIMEVkBdFHVTcnWxSh52PCRYRiG4cV6CoZhGIYX6ykYhmEYXswoGIZhGF7MKBiGYRhezCgYhmEYXswoGIZhGF7MKBiGYRhe/h9gD9anqvwlcgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a line plot for the bitstamp DataFrame for the full length of time in the dataset \n",
    "# Be sure that the figure size, title, and color are tailored to each visualization\n",
    "bitstamp_df.plot(title=\"Bitstamp Price Action\", color={\"Close\" : \"green\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Coinbase Price Action'}, xlabel='Timestamp'>"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a line plot for the coinbase DataFrame for the full length of time in the dataset \n",
    "# Be sure that the figure size, title, and color are tailored to each visualization\n",
    "coinbase_df.plot(title=\"Coinbase Price Action\", color={\"Close\" : \"purple\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Timestamp'>"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Overlay the visualizations for the bitstamp and coinbase DataFrames in one plot\n",
    "# The plot should visualize the prices over the full lenth of the dataset\n",
    "# Be sure to include the parameters: legend, figure size, title, and color and label\n",
    "combined_df = pd.concat([bitstamp_df, coinbase_df], axis=\"columns\", join=\"inner\")\n",
    "combined_df.columns = ['Bitstamp', 'Coinbase']\n",
    "combined_df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Exchange Comparison (Earlier Time Period)'}, xlabel='Timestamp'>"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Using the loc and plot functions, create an overlay plot that visualizes \n",
    "# the price action of both DataFrames for a one month period early in the dataset\n",
    "# Be sure to include the parameters: legend, figure size, title, and color and label\n",
    "#early = combined_df.loc[\"2018-01-01\"]\n",
    "#middle = combined_df.loc[\"2018-01-17\"]\n",
    "#last = combined_df.loc[\"2018-02-01\"]\n",
    "#figsize=(10,5)\n",
    "combined_df.loc['2018-01-01 01:00' : '2018-01-01 04:00'].plot(figsize=(10,5), legend=True, title=\"Exchange Comparison (Earlier Time Period)\", color={\"Bitstamp\": \"red\", \"Coinbase\": \"blue\"})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Exchange Comparison (Later Time Period)'}, xlabel='Timestamp', ylabel='Close'>"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Using the loc and plot functions, create an overlay plot that visualizes \n",
    "# the price action of both DataFrames for a one month period later in the dataset\n",
    "# Be sure to include the parameters: legend, figure size, title, and color and label \n",
    "combined_df.loc['2018-01-01 4:00' : '2018-01-01 11:00'].plot(figsize=(10,5), legend=True, title=\"Exchange Comparison (Later Time Period)\", color={\"Bitstamp\": \"red\", \"Coinbase\": \"blue\"},xlabel=\"Timestamp\", ylabel=\"Close\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Question** Based on the visualizations of the different time periods, has the degree of spread change as time progressed?\n",
    "\n",
    "Yes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 3: Focus Your Analysis on Specific Dates\n",
    "\n",
    "Focus your analysis on specific dates by completing the following steps:\n",
    "\n",
    "1. Select three dates to evaluate for arbitrage profitability. Choose one date that’s early in the dataset, one from the middle of the dataset, and one from the later part of the time period.\n",
    "\n",
    "2. For each of the three dates, generate the summary statistics and then create a box plot. This big-picture view is meant to help you gain a better understanding of the data before you perform your arbitrage calculations. As you compare the data, what conclusions can you draw?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 377,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Jan 16th, 2018'}, xlabel='Timestamp', ylabel='Close'>"
      ]
     },
     "execution_count": 377,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create an overlay plot that visualizes the two dataframes over a period of one day early in the dataset. \n",
    "# Be sure that the plots include the parameters `legend`, `figsize`, `title`, `color` and `label` \n",
    "bitstamp_df['Close'].loc['2018-01-16'].plot(figsize=(20,20), legend=True, title=\"Jan 16th, 2018\",label=\"Bitstamp\", color=\"orange\", xlabel=\"Timestamp\", ylabel=\"Close\")\n",
    "coinbase_df['Close'].loc['2018-01-16'].plot(figsize=(20,20), legend=True, title=\"Jan 16th, 2018\",label=\"Coinbase\", color=\"blue\", xlabel=\"Timestamp\", ylabel=\"Close\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1419.000000\n",
       "mean       23.212135\n",
       "std        67.789186\n",
       "min      -275.920000\n",
       "25%        -8.330000\n",
       "50%        22.280000\n",
       "75%        52.355000\n",
       "max       606.800000\n",
       "Name: Close, dtype: float64"
      ]
     },
     "execution_count": 378,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Using the early date that you have selected, calculate the arbitrage spread \n",
    "# by subtracting the bitstamp lower closing prices from the coinbase higher closing prices'\n",
    "\n",
    "arbitrage_spread_early = coinbase_df['Close'].loc['2018-01-16'] - bitstamp_df['Close'].loc['2018-01-16']\n",
    "# Generate summary statistics for the early DataFrame\n",
    "arbitrage_spread_early.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 379,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the arbitrage spread from early in the dataset in a box plot\n",
    "arbitrage_spread_early.plot(kind='box')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Feb 24th, 2018'}, xlabel='Timestamp', ylabel='Close'>"
      ]
     },
     "execution_count": 380,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9997LZZddRhzHbN26lY9//OPH/507LetaK6644or4hhtu6PUyJEmSJEnSMvvhD3/I+eef3+tlrHoL/R6jKPpOHMdXLHS+T7uTJEmSJEnSkjF8kiRJkiRJ0pIxfJIkSZIkSdKSMXySJEmSJEnrxnqbfd1tx/L7M3ySJEmSJEnrQjabZWxszADqGMVxzNjYGNls9qiuSy3ReiRJkiRJklaUHTt2sHv3bvbv39/rpaxa2WyWHTt2HNU1hk+SJEmSJGldSKfTnH766b1exrpj250kSZIkSZKWjOGTJEmSJEmSlozhkyRJkiRJkpaM4ZMkSZIkSZKWjOGTJEmSJEmSlozhkyRJkiRJkpaM4ZMkSZIkSZKWjOGTJEmSJEmSlozh01owdj1Uy71ehSRJkiRJ0jyGT6vdnv+E/3wU3PX+Xq9EkiRJkiRpHsOn1W73x8O2ON7LVUiSJEmSJC3I8Gm1G/ufsE309XYdkiRJkiRJCzB8Wu0mbwvb8lRv1yFJkiRJkrSAVK8XoGNUKULuQajkw+uS4ZMkSZIkSVp5rHxarb79CvjkGc3XVj5JkiRJkqQVyPBptXrgo+2vrXySJEmSJEkrkOHTapUaaH9t+CRJkiRJklYgw6fVKtkSPqVHbbuTJEmSJEkrkuHTatVa+TS008onSZIkSZK0Ihk+rVbJ/ub+4GlWPkmSJEmSpBXJ8Gm1qpaa+33brHySJEmSJEkrkuHTalWabO6nh618kiRJkiRJK5Lh02rVGjalhqE8A9VK79YjSZIkSZK0AMOn1SiOQ+XTxl3w+H8LlU8Ahf09XZYkSZIkSdJchk+rUbUQZj6d+gI45XnQtzkc//zjersuSZIkSZKkOQyfVqP6vKf0SNie+oLwxLvcnt6tSZIkSZIkaQGGT6tRPXxK1drtUgNw5iugkoNKoXfrkiRJkiRJmsPwabWJq/DV54T9euUTNFvvigeXf02SJEmSJEmLMHzqpdIkfO358LWf7vxJdbmHYeLWsJ8eah7PbArbwlh31yhJkiRJknQcUr1ewLp26PvwwHVhv7Af+k848jX1uU4Dp8DmRzePW/kkSZIkSZJWICufeqlabO7n90EcH/ma3INh+/iPQnq4edzKJ0mSJEmStAIZPvVSa/j02Uvhv1945GvqlU/9J7Ufr1c+5ffCg5+Gark7a5QkSZIkSToOhk+91Bo+Adz/kSNfM7sHogRkt7cfr4dP9/4jfOXZ8N8v7s4aJUmSJEmSjoPhUy/NDZ86kXsQsidAItl+PDkAiQwc/E54/cB1UMkf/xolSZIkSZKOg+FTLx1T+LRnfssdQBSF6qfWwGl297GvTZIkSZIkqQsMn3rpmMKnh0Pl00L6T25/PfvA0d9fkiRJkiSpiwyfemlu+JTMHvmayiykhxZ+b/Ojwnbw9LCduf/Y1yZJkiRJktQFhk+9VJkbPvV3cE1+8ZBqy4+FbWY0bA2fJEmSJElSj6V6vYB1bW7lU3n2yNdU8pDIsns3fPCDUKlANgu/8iswsvnR4ZyhM8NgctvuJEmSJElSjxk+9VI9fLrgDXDrn0G1AJUCJPsWv6ZW+fS3fwt/+IfNwyefDD/7s2fD4z8K266CLz0VJm9b2vVLkiRJkiQdgW13vVQPny75E7j8L8N+aeoI1xQgmWV6OlQ8TdVOf/DB2vunPBf6NsGOq2H/1+D+jyzFyiVJkiRJkjpi+NRL1RJESUgkIT0SjpUPEz7F1RBYJbPMzsLgIAwNwcgIPPTQnHMveAOkN8DeryzZ8iVJkiRJko7E8KmXqkVIZMJ+PXwqTcJ//hh86Znzz68UwjaZZWYmhE8AJ54Ie/bMOTeRhL6tUDy4JEuXJEmSJEnqhDOfemmx8GnsfxY5Px+2iVD5NDAQXp500gLhE4T2O8MnSZIkSZLUQ1Y+9VK1CIl02E8Nh21povl+Yaz9/EotfErOD5/mtd0BZDbPv4ckSZIkSdIyMnzqpYUqn6bvab5/6Hvt5y8SPtXb7uJ4zv2tfJIkSZIkST1m+NRLreFTdnvYjn27+f6hG9vPP0zlUz4Pv/qrc+6f2QQFwydJkiRJktQ7hk+91Bo+9W2C/pPhof9svj87Z5DTIuHTM54Rtu95D0xPt5yf2QSlcahWlmL1kiRJkiRJR2T41Eut4RPA6CVQ2F97EUFhX/v5lYUHjp93Hnz2s6Ht7lvfajm/b3PYlsaXYPGSJEmSJElH5tPueqkyJ3zaeAk89Nna/qWQnxM+VReufAJ47GMhkYCvfAXKZdi2DR4xuim8WTjYDKIkSZIkSZKWkZVPvTS38mnzo8M2uw0GToX83vbzF2m7AxgZgXPOgXe+E57+dLjsMiglaoFT0SfeSZIkSZKk3jB86qVqEZIt4dOOq+Enb4Fn/iAEUHMrnw4TPkGodhofb75+cKw2xLxwoNsrlyRJkiRJ6ojhUy/NrXyKIthwQQiestvC/Ke42ny/Fj6V4yzF4vzwafOczrr7Dp4FUQLGrl+iLyBJkiRJknR4hk+9NDd8atW3DeJKmNdUVwufcsV+YH74tGlT++v79gzDpkfCw5/v1oolSZIkSZKOiuFTL1WLkEgv/F621jJ34Bst5xcAmM0vHD7VK5+GhsL23nuBE34Cxr4NpenurFmSJEmSJOko+LS7HoorRf775osZnwwdd499LGzcWHtzYEfYfvU5cM04ZDY0Kp9mC33hlEUqn04+Ocx+uu8+YOiMWgXVAUgPLfVXkiRJkiRJamPlUw/deNdZPP5X/4RnPxue9Sx44xtb3tx6JZz/urB/4Jth2wifssDi4dOmTbBzJ/zt38I/feb8cLA8szRfQpIkSZIk6TAMn3rowPgIAO9/P5x5JuzZ0/JmFMFFb4QoCfu/Ho7Vw6d8aNVbrO1u82Z405vC/v/cdELYKdt2J0mSJEmSlp/hUw/N5EKIdPnlcNJJcPDgnBPSQ7DxEbDvy+F1NU+cyPIrr46AxSufNm+GH/9x2LEDZnKhSsrwSZIkSZIk9YLhUw/N5MOT7gYHQ3A0L3wC2PEc2P/fMHUn7P8GB2dP4DvfCW9dfHH7qfXKp3oINTjY/AzDJ0mSJEmS1AuGTz00k2sODl80fDrjFyBKwFevhv1fY6J4MgAf/CBs2dJ+amvlE4TwaXq2Hj4580mSJEmSJC0/w6dOjd8C5dmu3nJ2TuXT2NgCJw2cDCPnwcQtYRkXfwSADRvmn3rCCfBzPwfPeAaN+9Zb+6x8kiRJkiRJvWD41Ik4hs9fCd/9X927Z7XCTD7MY6qHT7lc+Jln8IywHdjBRPFEAEZH55+WTMLf/z1cdhmN+87MJsOLkuGTJEmSJElafoZPnZi+C0oTsOmRoX0tv//471k8yExhkFSqQibTbJk7dGiBc4dq4dPgTiYmwu5ClU/zLhuC6Zla+GTlkyRJkiRJ6gHDp04crE343nwF/Oej4aPbjv+ehf3MFAYZ6K8AzfBpwblPjfDpdMbHw24n4dPgIMzMRJDMOvNJkiRJkiT1hOFTJw7eAIk+2HBhY/bSccvvY7YwwOBADDSHhB82fBpqVj4t1HY3VwifgNSglU+SJEmSJKkn1nf4VC2Hp8g9/IXDnzf+Axi9CBLp4/u8L/w4/OhdYT+/j5nCIIOD4eVhK59Gzg3b4XMalU8jI0f+uGb4NGT4JEmSJEmSemJ9h0/7vwa7PwHffuXhz8vvheyJ7cfi6tF91uxu2PsF+M6vh9e1trvBwfCf4PDh0znwlC/DaS9kYiKESqnUkT9ycBDyeahEI4ZPkiRJkiSpJ9Z3+PTAx8M2s/Hw5xUOQHZL+7Hy7NF91p7/CNuBHWFbq3waGAop0mHDJ4DtV0Eizfh4Zy13EAaOA8yUt0BxAr772zB5x9GtW5IkSZIk6Th0UD+zhu3/WtjO3Lf4OXEcwqe+re3HK7OQHur8s/Z+KWz7a+FTYT+zpREGByMgBEWp1GHCp5qJic6GjQONlr6Z8mZG9l4XKq9mH4DHXdv5uiVJkiRJko7D+q58Kh4K28IByO9f+JzyDFTy0HeclU8z99Sumwzb/D5miiONgCiKQvXTkoRPpU3Ng8Nnd75mSZIkSZKk47S+w6fSRDOMmbh14XMKB8J2bvhUOcrwafaB2mfWwqfCfmaKQwwMNE/pJHwaHz/68Gm61LL21FFUa0mSJEmSJB2n9Rs+xXEIgjY9MryevnPh8xrh05y2u6OpfKqWILcn7BcnattxZvIDjYAIOgufDh1qzoc6ksbMpxNfAWf9cnMtkiRJkiRJy2T9hk/lGYgrMHoRRCmYumvh87pR+ZTbE56O138SlKfCfmmK2UL2mMKnjUeYj15Xv/fjnr6TD97y1xyaGYXY8EmSJEmSJC2f9Rs+lcbDtm8zDJ4G04uFT7VZUPNmPs10/lkztZa7DRfVrp0mLk0yk+/rOHyqVqFSCW13nVY+bd/e3P+FX4z47X/6/6Ba7HzdkiRJkiRJx2n9hk/19rf0Bhg6M4RPcQz3/EN7sJTfF7bZ42i7m70/bEcvanx2YbZApZJsC582b144fHrucyGdhk9+Miyx0/DprLPg7rthcjK04N174HTb7iRJkiRJ0rJav+FTqR4+jcLwmXDwO7DnM/DNn4fvvAYqBXj4i3Db/xfCqfScKd9H03Y3+2DYbrggbAv7mZzpD4dabrtpE0xNQaklH7r9dvj4x0Pl0xe+0DyvU6efDsPD8BM/AXsnths+SZIkSZKkZZXq9QJ6ph4+ZTbACT8Od/w1fOXZ4dj0XfDln4S9X4DsCfD4j0IUQbXcvP5oKp8K+yCZhf6Tw+vZB5jMjQAhGKqrh0r/+I8wEt7m859vvn/zze3nHY3t2+FrE1sNnyRJkiRJ0rJav+FTa9vdlsfACT8BD9eSnmoJJn8IG3fBj38N0rXHxlXyzeuPpvIpvw/6tjWrp2Z3M5UPqVM9ZALYuTNsf/EX2y+/4orQjlcPnzodON5q+3YYm9pEuVhex//RJUmSJEnSclu/OUR94Hg9EBo4peW9CSiMwXm/1QyeoD18OprKp/w+yG6DdC1pmt3dqHxqDZ+e8YzQZpfPt19+6qnwrGeF+U1w7JVPcZxg/8EsJx795ZIkSZIkScdkHYdP9ba70bBNtYRM07WUpzWQAqi2hk9H8bS7/D7oP6H5WTP3Ldh2F0Vw9tkL3+Kkk5r7xxo+Aew9OGj4JEmSJEmSls36HDhemoKb/zTsJ8Pg77YKp3qwNDd8Ota2u0Kt8il7AiTSMHEzU7n5bXeH0xo+HWvbHcDescHDnyhJkiRJktRF6zN8evDTUJ4KbXBRFI61Vj7VDR4mfOq07S6OmzOfEkkYOBXGf7Bg293hnHxycz+T6eyaVs3wafjwJ0qSJEmSJHXR+gyfytNh+7Trm8dScyuCoubT6epaw6e73g8HvnXkzypNQrUYKp8Ahk4HWLDt7nAuuwySSbjmms7On2vz5rA9ONF/bDeQJEmSJEk6BuszfKrkwrZvc/PY3Mqn/hMh2Tfnulr4dNIzw3b3x4/8Wfl9YVsPnwZD+DSVHyaKYgY77IJ78pOhVIKPfKSz8+caGAjb2fz6HfMlSZIkSZKW3/oOn5LZ5rG54dPGXfOvqw8cv+ANMHIuTN1+5M/KPxS22VrfW0vl00hL118njubcuTIZSCYqzOTm9Ox965XwUUeQS5IkSZKkpbE+y2DqFUzJlha0ueHT6KWHuS4Lw+fC5I+O/Fkz94Xt4M6wHTkPgMnCZoaHjyNNOkpRBAPZPLP5dPsbd70/bPP7Ibt12dYjSZIkSZLWh/Vb+ZTIQNTy9efOfBo+c4HrWsKnkXNg6k6oVg7/WdP3hu3gqWF78k/Bj3+VqdHndzxsvFsGs4Vm5VPuYfjYjuab+76yvIuRJEmSJEnrwvqsfCrn2queANJzKp9O+PH5182tfKoW4Hu/DZe/ffHPmr2PcvokvvudLOUyQBJ4PA/s6fxJd90y2F9gNl+bY7Xns5B7sPnmvq/Cqcc4zVySJEmSJGkR6zN8quTa5z1Be9vdiyvtVVF11ULYJrOw7aqw/6N3wCP+AhKL/Cpn7uOD//2rvOIF8996znOOeuXHZaCvyEw9fMpsaH+zcGB5FyNJkiRJktaFdRo+5edXPrWGT3OCp7ExuPpquPuul/KZvzuLXX1bYCALj/i/8L3fgvI0ZEbb7xfHYdDS9L3cPXY+ySR85jPtQ8Mf8YiufqsjGuwvMpOvhW5zv399CLskSZIkSVIXrdPwaYG2u7kzn1q89rXw9a8DpLh5/1XsStbeSNf65kpT7eHTLX8Gt74VnvkDmH2AfdMnsW0bPO1pXfwOx2AgW2J2plb5VCm0v1meXf4FSZIkSZKkNW9dh0/33AM33lg7Vh2C668mkyry1OdDuuWhcHfeCeedB7fdBrnWAqFG+DTZPFY8BDf9Xtg/8A2oFtg7vpXt25fw+3RosL/IwYO10K06J3yy8kmSJEmSJC2BdRw+ZXnxi+Fb36ofTAEfA+C9Z8MrX9k8fWICTjhhofBpOGzLU81jxUPN/UM3AbD34Aa2ndDtL3H0BvrLzBZq7YVzK58qVj5JkiRJkqTuW2Cq9jpQm/m0Z08Y+n3jjbWfN1/K6dt386lPtZ8+Ph7CJ+ig8qk03XJhCJ/2HRxcIZVPZWby9cqnfPON7DYrnyRJkiRJ0pJYp+FTaLs7cADOOgsuvbT28xuf4tnP38anPw0f/GDz9HrlE8wJn1K1yqfW8Kk809w/dCNxDHsPZFZG+DRQZqYwEF60Vj71n+zMJ0mSJEmStCTWbfiUq4yQy8HmzS3HB0/lF16e4eST4Rd+AT77WSiXYXoaRkehr2+xyqeWtrtKS/iU28NUbph8PrEiwqeBbIXZevjUOvOpb4uVT5IkSZIkaUms2/BpbHorMCd8AnbtCgPGd+yA970PJmtFTaOjkM0eRdtdIgPAvukdAGzb1t2vcCwGByoUy32US3FoPQS48PdhwwVWPkmSJEmSpCWxTsOnPGNTIXWaGz5BCJlOPTUETxMT4diGDdDfD/mWUUkLDhyvt90NnQnA3vz5ACuj8mmgAsDsTLnWdhfBJX8CyQErnyRJkiRJ0pJYp+FTjgNTmwDYsmXhUwYHYWZmfvjUVvmUSEMy2175VG+7GzodgL0zZwMrI3waHIgBmJkqhba7ZBaiCFIDEJehWurxCiVJkiRJ0lqT6vUCeqKSY2xqI7Bw5RPA0BA89FB40h2Etrt54ROE1ruF2u52PBdye9g78PPAymi7G+ivAvCEJ8T87tWbeORJl/M7T4PyxM+RyV3O2y8ucN7F6R6vUpIkSZIkrSXrM3yqlhib3AAsHj4NDoZB43Mrnz7+cfjJn2w5ce+/kOjbwO++FR73OJptd2e8DM76JfZ9O7zcunUJvsdR6u8PlU933jvIBz59FfftyvBf/wVXXJTl299/Bld/eZLzLu7xIiVJkiRJ0pqy/tru4lD9MzYZhoUfLnxaqO2uUoEvfhH27av9TG7jP751Cf/yL7ULKzNh2Hgi5Hp794bPSK+AgqKnPHYvv/+cN/HkC7/AxOwGbn/oHM44Az75/i8BUK0Ue7xCSZIkSZK01qzD8CkM3R6bHGJoCDKZhU8bGgqVT1/8Ynhdb7sDuOQSuP762s9f/So7tz/E2FjtwtI0pIYa99m7d2W03AFs2hTzphf8ATu33MtEbgO37zmDc86BRCoLQLXszCdJkiRJktRd6y98mrwVgPGpQTZuXPy0wcEw3+lDHwqvR0aa4dOmTS0nbrqCLYMPcmB/ObyuzEBqsPH2vn0rY9g4EAakA6MD4xya2cjte04P4VPa8EmSJEmSJC2N9Rc+VUNINFHawYYNi5822MyP+Lu/C21zC4ZPJ/8kW4b2c+CBPVCcCDOfWsKnvXtXUPhUm0e1YWCCXHGA2UK/4ZMkSZIkSVpS6y98Atj1ViZmBg4bPg01O+caA8YXDJ+2XMnmDTOh7e4z51OZ3ssr3/1mnvEMeMYz4N57V1D4NPsAABuGm7OdzjgDkpnwxaoVwydJkiRJktRd6/Npd32bmZg4/Cym1sqnenteX1/YtoVPyQxbdj2HA/+ThtxD7L4/zfv/47mccQZs2QJXXAE/9VNd/wbH5pxfh5n72XD2VY1DJ53UOvOp3KuVSZIkSZKkNWqdhk9bmJiAs89e/JTW8ClV+y0VCmHbFj4BW7b3k8vDbKGfA9NbAHjHO+DZz+7ekruifzs89u8ZvfmrjUMnnQSJYgifKiXDJ0mSJEmS1F3rs+0us5nJSTpuu6vL5cJ2bvi0eXPYjhXP5sBUCJ+2bOnCOpfIhtHmI/42bYKEbXeSJEmSJGmJrM/wqdZ21+nA8bp6+DQ83H68HjSNpZ7M/smtbcdWog2b+hr7UQSJVAijqpVqr5YkSZIkSZLWqCULn6Io+tsoivZFUXRzy7FNURR9PoqiO2rbjXOuOTWKoukoin675djlURT9IIqiO6Mo+n9RFEW1431RFF1bO/6tKIp2drq2ApspFI6+8ml2Nmzrg8fr6kHTgRPfyIFT3tZ2bCXasHmg7XUiGfoKq1XDJ0mSJEmS1F1LWfn0QeDpc469HvhCHMdnA1+ovW71duCzc479NfBK4OzaT/2eLwcOxXF8Vu26t3a6sIlc6JvrpPIp0fIbqlc+zQ2f6gPJD81s5MDMCSSTh793r23YNCd8SqUBqFbiXixHkiRJkiStYUsWPsVx/FXg4JzDzwE+VNv/EHB1/Y0oiq4G7gZuaTl2IjASx/E34ziOgb9vuab1XtcBT6lXRR1WlGRiKlT6dBI+ZbPNY3/5l3DllfDIR7afW2/Dm5qCAwfCDKjECm5o3LClvW8wkapXPhk+SZIkSZKk7lruiGR7HMcPAdS22wCiKBoEfhf4oznnnwzsbnm9u3as/t4DtXuVgQlg8xFXEKWYmAi7hwufBmrFQeee2zx2+eXw9a/Pr3yaGz6t5JY7gHT/ML941Qf47O8+KxyIUiSiiuGTJEmSJEnqulSvF1DzR8Db4zienlO8tFAlU9zBe22iKHoloXWPC3YON8KnkZHFF7RxI3z4w/DkJx9h5TTnQ01Pw/79sHXrka/pqUSSD/zVGJz4ptrrNIlEhUrZ8EmSJEmSJHXXcodPe6MoOjGO44dqLXX7ascfDVwTRdGfA6NANYqiPPBvwI6W63cAe2r7u4FTgN1RFKWADcxv8wMgjuP3Ae8DuOKKK+JOKp8AfuZnOvtSmUz4qVc+nXdeZ9f11AW/09yPEiSikpVPkiRJkiSp65a77e6TwEtr+y8FPgEQx/Hj4zjeGcfxTuAdwJvjOH5XrTVvKoqix9TmOf18/Zo597oG+GJtLtQRTU6GbTeHgg8Ph/BpfLw5gHw1SURVwydJkiRJktR1S1b5FEXRPwNPBLZEUbQb+EPgLcC/RlH0cuB+4Pkd3OpXCE/O6yc8Ca/+NLwPAP8QRdGdhIqnF3W6tk4rn47G8HBou5uYWNlPultMIlH1aXeSJEmSJKnrlix8iuP4xYu89ZQjXPd/5ry+AbhogfPydBZezdPJzKejNTQUqp5mZrp73+Vi5ZMkSZIkSVoKy912tyJMTMDgIKS6GL0ND8Oe2jSq1Vn5FFv5JEmSJEmSum7dhk/dDoiGh2H37rC/GiufkokK1WqvVyFJkiRJktYaw6cuGR6Ghx8O+6sxfEpEMRUrnyRJkiRJUpet2/Cp2wHR0FBzf3W23VWtfJIkSZIkSV23bsOnpah8qlutlU+GT5IkSZIkqdvWZfg0Obm04dPqrHyKfdqdJEmSJEnqunUZPln5NJ+VT5IkSZIkaSkYPnXJqg+fElWq+UNw99/3eimSJEmSJGkNWXfhUxzD7Gz3w6dLL23uDw52997LIZmIqRZn4H9e2uulSJIkSZKkNWTdhU+5XNh2O3x69KOb+1HU3Xsvh0QiplJN9noZkiRJkiRpjVl34dMdd4TtKad0976ZTHfvt9wSUUw1Xnd/DpIkSZIkaYmler2A5VYuw8tfDldf3f17794NBw92/77LIZFoCZ/ieHWWb0mSJEmSpBVn3YVPAD/1U0uTrZx8cvhZjRKJmGq1Hj6VIUr3dkGSJEmSJGlNWJd9Vuee2+sVrDxtbXfVcm8XI0mSJEmS1ox1GT6dcUavV7DyJBK0tN0ZPkmSJEmSpO5Yd+FTXx+k7SibJ5mMDZ8kSZIkSVLXrbvw6dRTe72ClSmRiKlUk+GFbXeSJEmSJKlL1l34NDLS6xWsTIlozsBxSZIkSZKkLlh34ZMW1jbzyconSZIkSZLUJYZPAhw4LkmSJEmSlobhk4Ba+FS18kmSJEmSJHWX4ZOAuZVPpd4uRpIkSZIkrRmGTwLC0+6c+SRJkiRJkrrN8EkAJJNQqSbDC2c+SZIkSZKkLjF8EmDlkyRJkiRJWhqGTwIgEVWbA8etfJIkSZIkSV1i+CQAElFL5ZPhkyRJkiRJ6hLDJwGQSFRtu5MkSZIkSV1n+CSg1nZn5ZMkSZIkSeoywycBc2Y+VUu9XYwkSZIkSVozDJ8EQDJRoVJNhhdWPkmSJEmSpC4xfBIwp+3OmU+SJEmSJKlLDJ8EzBk4buWTJEmSJEnqEsMnAXNnPhk+SZIkSZKk7jB8EgCJqGLlkyRJkiRJ6jrDJwGQSPcbPkmSJEmSpK5L9XoBWhkSmy6mmpkKL2y7kyRJkiRJXWLlkwBIppJUouHwolrq7WIkSZIkSdKaYfgkABIJqMa1F7bdSZIkSZKkLjF8ElALn6pReGH4JEmSJEmSusTwScCc8MmZT5IkSZIkqUsMnwTUw6faCyufJEmSJElSlxg+CZgTPln5JEmSJEmSusTwSUBL212UtPJJkiRJkiR1jeGTgBA+TUzA3fvONnySJEmSJEldY/gkAJJJKJXgzNf80LY7SZIkSZLUNYZPAkLlU0O11LN1SJIkSZKktcXwScCc8Mm2O0mSJEmS1CWGTwIMnyRJkiRJ0tIwfBLQHj5Vy5XeLUSSJEmSJK0phk8C2sOnSqXau4VIkiRJkqQ1xfBJQHv4VC4ZPkmSJEmSpO4wfBIAyWRzv1yOe7cQSZIkSZK0phg+CZjTdle28kmSJEmSJHWH4ZMA2+4kSZIkSdLSMHwSMCd8KvduHZIkSZIkaW0xfBIwt+2u0ruFSJIkSZKkNcXwScDctrtS7xYiSZIkSZLWFMMnAXPCp6LhkyRJkiRJ6g7DJwGQTDb3K6Vi7xYiSZIkSZLWFMMnAVY+SZIkSZKkpWH4JACiqLlv+CRJkiRJkrrF8EkAVKvN/YoDxyVJkiRJUpcYPgmAcrllv1SGuLr4yZIkSZIkSR0yfBIArcVO5WoKKvneLUaSJEmSJK0Zhk8C2sOnSjUJ5dneLUaSJEmSJK0Zhk8C5rTdVVJQMXySJEmSJEnHz/BJwAJtd1Y+SZIkSZKkLjB8ErBA252VT5IkSZIkqQsMnwTMqXyqpKCS691iJEmSJEnSmmH4JGCB8Mm2O0mSJEmS1AWGTwLmtN3Ftt1JkiRJkqTuMHwSYOWTJEmSJElaGoZPmifMfDJ8kiRJkiRJx8/wSQC87W3wtKeF/XLVyidJkiRJktQdhk8CYOtWeO97w36l6swnSZIkSZLUHYZPakgmwzbMfMr1djGSJEmSJGlNMHxSQyoVtuVqGuJKbxcjSZIkSZLWBMMnNdTDp4rhkyRJkiRJ6hLDJzU02u4MnyRJkiRJUpcYPqmh2XaXMXySJEmSJEldYfikhkbbXZyCuNrbxUiSJEmSpDXB8EkNtt1JkiRJkqRuM3xSg0+7kyRJkiRJ3Wb4pIZEAqLIp91JkiRJkqTuMXxSm2TSyidJkiRJktQ9hk9qk0oZPkmSJEmSpO4xfFKbVAoq1STg0+4kSZIkSdLxM3xSm0bbXdXKJ0mSJEmSdPwMn9QmlYJyxbY7SZIkSZLUHYZPapNKQSVOGT5JkiRJkqSuMHxSm2QSyhXDJ0mSJEmS1B2GT2rTeNqdA8clSZIkSVIXGD6pTeNpd1Y+SZIkSZKkLjB8UpvwtLuUT7uTJEmSJEldYfikNuFpd858kiRJkiRJ3WH4pDah7c7wSZIkSZIkdYfhk9o02u4MnyRJkiRJUhcYPqlNaLtL4tPuJEmSJElSNxg+qU06DYVSxsonSZIkSZLUFYZPanPqqXDPwycaPkmSJEmSpK4wfFKbc8+Fe/eeQCHvn4YkSZIkSTp+Jgxqc+65EMcJ7txzUq+XIkmSJEmS1gDDJ7U555ywvX33jt4uRJIkSZIkrQmGT2pz7rlhe/uDp/R2IZIkSZIkaU0wfFKb4WFIJCpMzfb3eimSJEmSJGkNMHzSPOlUhVI52etlSJIkSZKkNcDwSfOkk4ZPkiRJkiSpOwyfNE+ofPJPQ5IkSZIkHT8TBs0TwqdUr5chSZIkSZLWAMMnzePMJ0mSJEmS1C2GT5onnapQqhg+SZIkSZKk42f4pHnSqaptd5IkSZIkqSsMnzSPbXeSJEmSJKlbDJ80j5VPkiRJkiSpWwyfNE+Y+WT4JEmSJEmSjp/hk+ZJp618kiRJkiRJ3WH4pHnSqaqVT5IkSZIkqSsMnzSPM58kSZIkSVK3GD5pHiufJEmSJElStxg+aR5nPkmSJEmSpG4xfNI8ofIp3etlSJIkSZKkNcDwSfOk03EIn+Jqr5ciSZIkSZJWOcMnzZNOxZTKaYgrvV6KJEmSJEla5QyfNE+j7c7wSZIkSZIkHSfDJ81j250kSZIkSeoWwyfN0wyfrHySJEmSJEnHx/BJ8zjzSZIkSZIkdYvhk+ax8kmSJEmSJHWL4ZPmMXySJEmSJEndYvikedIpqFRTxFXDJ0mSJEmSdHwMnzRPOh0DUCr6tDtJkiRJknR8DJ80j+GTJEmSJEnqFsMnzZNOh63hkyRJkiRJOl6GT5qnET6VnPkkSZIkSZKOj+GT5plb+ZTLwYc/DHHcw0VJkiRJkqRVyfBJ8zTDp5A2vfaX7+dnfxa+9l9jPVyVJEmSJElajQyfNE9j4HgpbO+5bT8As3vv6tmaJEmSJEnS6mT4pHnS6Qhott2VyuHPJJ1J9mxNkiRJkiRpdTJ80jzNgeOh8qlYCqFTpq/9z+XTn4bbb1/WpUmSJEmSpFUm1esFaOWZX/mUbDte9+xnh62DyCVJkiRJ0mKsfNI8cyuf6uETVHuzIEmSJEmStGoZPmmedK0ebm7bXaVU7tWSJEmSJEnSKmX4pHnSmXrbXa3yqRLSqEq50jinbA4lSZIkSZI6YPikeerhU7EYXhdLtfCp0my7y+eXfVmSJEmSJGkVMnzSPCPDoeJpcqpWAVWuVz41y50KheVflyRJkiRJWn0MnzTP6GgInyYmw59HqVKf+WTlkyRJkiRJOjqGT5pnw2gGgInx+tPuQuVTuWXmk5VPkiRJkiSpE4ZPmmdo0wiJqML4oRA2lSppACrlZuVTa/hUnD60rOuTJEmSJEmrh+GT5on6RtkwMMHERAibmjOfmpVP+dnm/tQ931reBUqSJEmSpFXD8EnzpTewYWCC8fHw51Eshza8tsqnXKmxP3VoennXJ0mSJEmSVg3DJ80XJRgdnGoMHK/GtYHjlZaB47PFxv7kpH9GkiRJkiRpYaYGWtCGwVnGJ9NtxxatfJr2z0iSJEmSJC3M1EALGh3OMTHdB9Vy41hr+JRvCZ8mp/wzkiRJkiRJCzM10II2DBcZn+qHSq5xrK3yKd8MpQyfJEmSJEnSYkwNtKDRkRITMwNQnm0cq1Tixn4h1wyf8vloWdcmSZIkSZJWD8MnLWjDSJXJ2SFK+ZnGsfa2u2b4VC7HLKg4Dnf+DcSLvC9JkiRJktY8wyctaGQE4jjB2N5FKp/ylcZ+qcTC/ucX4NuvgPHvL9UyJUmSJEnSCpfq9QK0MmWyGQAmxyYbxyqV1sqn5v68yqe9X4HiGMzcG17HFSRJkiRJ0vpk+KQFpbN9AEzuH2scq5QXq3yaM/Ppf14KM/c1X8dVJEmSJEnS+mTbnRaUyWYBmBo72DhWbo55Ip9vBlHz2u76trW/Ls8gSZIkSZLWJ8MnLSjdH8Kn6YMTjWNtlU+FmCgKFU1z2+4qFSiVW4rqKrNIkiRJkqT1yfBJC8pk+wGYHp9qHGsfOB4z1DcNzG+7e/Rr/paNrzzUPFA2fJIkSZIkab1asvApiqK/jaJoXxRFN7cc2xRF0eejKLqjtt1YO/4TURR9J4qiH9S2T2655vLa8TujKPp/URRFteN9URRdWzv+rSiKdi7Vd1mP0v0DAExP5BrHWsOnfB76MzkSUaWtHQ/gO3dexExhiGq1FkpZ+SRJkiRJ0rq1lJVPHwSePufY64EvxHF8NvCF2muAA8Cz4zi+GHgp8A8t1/w18Erg7NpP/Z4vBw7FcXwW8HbgrUvwHdatdP8gAFMTxcaxSstD6woFyKbzpJJlSuVo7uUA3LP/9LBj5ZMkSZIkSevWkoVPcRx/FTg45/BzgA/V9j8EXF0793txHO+pHb8FyNYqm04ERuI4/mYcxzHw9/Vr5tzrOuAp9aooHb/MQAifpnPZxrHW8ClfiOhLF0inyvOfdlfz/fsvCTsOHJckSZIkad1a7plP2+M4fgigtt22wDk/DXwvjuMCcDKwu+W93bVj1LYP1O5VBiaAzUu07nUn3dcHwHR+qHGsve0uQV+6RCpZoTyn8umE0YeAlvDJtjtJkiRJktatFTVwPIqiCwntc79cP7TAaXEH78297yujKLohiqIb9u/ff/wLXQfSmfDrncoPN461Vj796L4tnLZ1N+m5bXdxlaj2n+GufWeGY7bdSZIkSZK0bi13+LS31kpHbbuv/kYURTuAjwE/H8fxXbXDu4EdLdfvAPa0vHdK7doUsIH5bX4AxHH8vjiOr4jj+IqtW7d28eusXZlM2LZXPoXtwYNw270n8Njzvkc6NafyqZJnthiGld934LTaMcMnSZIkSZLWq+UOnz5JGChObfsJgCiKRoHPAG+I4/i/6yfXWvOmoih6TG2e08/Xr5lzr2uAL9bmQqkL0umwnSkMNo7Vw6f/+Z+wfewFPyCVrFAqtfwZVXLkiv0A3D92ajjmzCdJkiRJktatJQufoij6Z+CbwLlRFO2OoujlwFuAn4ii6A7gJ2qvAX4NOAv4gyiKbqz91OdB/QrwN8CdwF3AZ2vHPwBsjqLoTuC1NJ+cpy6oh08Ltd394IYxAC475w7SqUpb212lmKdYDvOidh/aSaX/LNvuJEmSJElax1JLdeM4jl+8yFtPWeDcNwFvWuQ+NwAXLXA8Dzz/eNaoxTXa7sohA4yiaiN8mn3oFuAJDJ/2yDBwvNLMMHPTeQDOOm2SO+8b4aGpnezYbPgkSZIkSdJ6taIGjmvlqFc+TacuBWAgW6RSCRVO+XyVvnSe6FHvrlU+Nf+MZqcLAJx31jQA94+dbuWTJEmSJEnrmOGTFlSvfJqaCtu28CkHfakiAOlUhY9+/YmMjITzZqfC8fPPzgG1uU8OHJckSZIkad0yfNKCGpVP05BIQCZdoVwLnwqFmGwmVDilklWgGVLlZkoAnHt2CKHu27/DgeOSJEmSJK1jhk9aUGPg+BT09UEqGbe03SXIZuqVT9XGNZWp3cx+9VUAbNsWsXEj3L//RCufJEmSJElaxwyftKB6212xGMKnZDKmUokByBci+tJloFn5BDD5/X9htjAAQP9gitNOg/v2bnfmkyRJkiRJ65jhkxZUr3yCevgElWoCqmUKxQTZvnLtvJbwqXwSuWI/AAODaU49Fe7ftwWqxWVduyRJkiRJWjkMn7Sg1vApk6mHT0mo5MkXEmQztfCppe1ucibLbDFUPg0MpzntNLj/4U1QLS3r2iVJkiRJ0sph+KQFJZNh0Di0Vj4loZKjUEzSl6kAYRZU3eR4uaXtro9TT4WJ6QEmpvuXff2SJEmSJGllMHzSourVT+3hU558IUW2r1o7pyV8mqiSK9Xa7ob6OOmkcPzhQ5uWdd2SJEmSJGnlMHzSoupDx0P4FDXDp2KabDaET60DxycmaFY+DWXZvDkcH5vcsKzrliRJkiRJK4fhkxa1cOVTjkIpTV9fXDunpfJpEmaLQwAMDKUa4dOByY0Qx0iSJEmSpPXH8EmLag+fokb4lC9myPbVz2kJn6YiHpw6m4EByGZhy5ZwfGx6s0PH15LZ3fDAx3q9CkmSJEnSKmH4pEW1td2lauFT8RD5UpZsbYZ4Ktk8f3Iqyf/cfgWPfGQYVt6ofJraArHh05rxuSvha8+DuHrkcyVJkiRJ657hkxa1YOVTYYxCqY++vqh2TrPyae/YAN+7+wIe85jwemgIMumylU9rzez9YVvJ93YdkiRJkqRVwfBJi2oLn1KJWvh0IFQ+ZcOfTrKl8umrN11IuZJqhE9RBJtHC6HyyfBp7anker0CSZIkSdIqYPikRbU/7S5BuZqC4lit7S786VSqqcb5tz1wGgA7dzbvsWVT3sqntSCO5w+Nt/JJkiRJktQBwyctql75lMk0Zz6VZw5Rqaboy4aSp0qcnHfdxo3N/c2jRcamNjvzabX7+gvg2r72Y1Y+SZIkSZI6YPikRUVhrBPbt0Oq1nZXmJkCINsfQqdyJTXvuk2bmvtbNhVtu1sLHrhu/n9DwydJkiRJUgcMn7Sohx8O27POgmQqGcKn2RA41NvuypUQQiWTcW1bYWioeY+NG0ocmt1o+LRWtLbe2XYnSZIkSeqA4ZMW9eCDYXvmmc2B4/nZEDj09bWHT9u3VQHYOJJvVEwBDA1WmckPGj6tZvkDzf3KbMu+lU+SJEmSpCMzfNIRhcqnWvg0UwRoGTheC5/6bgKgL1Npu3ZwMGa6MERs+LR6Tf6wuV+abO5b+SRJkiRJ6oDhk47oxBMhmYyoxCkKs3PCp/RWALZtC6/jxGDbtUODMXGcID9bXsYVq6umbm/ul6aa+1Y+SZIkSZI6YPikRZ17btgmEpBMQqWaIp8LFUz1p92VCQOetp+3C4CY9qffDdayqOmpGK1Ss3ua+/m9zf2y4ZMkSZIk6cjmP6pMqvnud6EYCp1awqfQVpftD3865VpB07ZtYVuttt+jPnx8ejpm61IvWEsj/1BzP9cSRFVtu5MkSZIkHZnhkxY1MBB+oBY+xSkKpTTQUvl0hPBpsBY+zcxY+bRq5RYJn2y7kyRJkiR1wLY7dSRUPiUpljMAZLIht0zV4st6+BTPyZiGBsOj72y7W8VyD8HgaWF/9sHmcdvuJEmSJEkdMHxSR+rhU6kSKp8yfWH7vvfBa14DL3gBRBG89a3t1w0Nh/DJyqdVLPcQDJ9T27ftTpIkSZJ0dGy7U0fqM5/qlU/pvvCnc/LJ8Pa3h3PmttwBDA6FfHN6JlqWdarL4hjyD8OOn4KHPw9TdzTfs/JJkiRJktQBwyd1JJWCUqUZPmX6OvvTGRquhU/Thk+rUvEgVIswdAZECTh4A0RJIHbmkyRJkiSpI7bdqSObNsHEzCC5Yj8Amb7OwqTBoTCYfGZmyZampZTfF7bZEyA1DMDB6NF8/a6nQ8W2O0mSJEnSkRk+qSMnnABxnODBQycDkMl0dt1QLXyanvFPrSf2fgn+64lQLR/b9ZXZsE0NQjqET0/6g3/m8X/wGaolwydJkiRJ0pGZCKgjJ5wQtvePnQpAOt3ZdYPDoT1vZtY/tZ4Y+zbs+wqUJo/t+vpcp2Q/ZE8E4Pt3hr+B3OwCQ74kSZIkSZrDREAdqYdPD4ydAnRe+ZTKpOlL56186pVKMWyrxWO8viV8euJn4Gnfbrw1c8enYez641ygJEmSJGmtMxFQR7ZvD9ujDZ9IpBnqm2ZmNrk0C9Nh3f9gP+/47G8ef/iU6ofsVtj8yMZbM4VB+OZLu7BKSZIkSdJaZvikjtTDp3rbXcfhU5RmsG+G6RkfrNgLz/y1n+V//eM72PNg5dhu0Fr5NMdscQCGzz6O1UmSJEmS1gPDJ3VkcBCGB/NM5jYAnc98IpFmoG/WyqceGZ/KAlAplY7tBnPCp0pLhjVTGAyDyCVJkiRJOgzDJ3XshC0zACQTZRKd/uVESdLJEuVjfNiajk9EHHaOe+ZTCLEOHGi+NZu+GMozx7E6SZIkSdJ6YPikjm0cCQFGJn0USVIUkU6VKZX9U+uNED5Vy8dY+VTOcduec7nmJZvJ5+Hhh5tvzZQ2QmW2C2uUJEmSJK1lDuJRx/r7qwCkk0dXxpROlq186pEoCuFTqXiM/wEqOV79d3/Fl27N8Kqvw5e/3HxrtrzByidJkiRJ0hFZjqKO9WdDkHFUlU9AKlmhVPJPrSfiWvhUONbwKc9QdhqA//ov+NM/hcc9Lrw1UzR8kiRJkiQdmYmAOtbfXwufUkdZ+ZSqUCpHS7EkHUG98qlcOvbKp+H+MPfprW+FbdvgQx8Kb80UhqG8SNtd7iH49Hlw7QD8UwS3vPnYPl+SJEmStOoZPqlj/eGBZ2TSlcOfOEcqWaFcMXzqjXrb3dH9N2uo5BgayDdePve5IYACmC0NQWWRyqcHPwOTP4IzXhZej3372D5fkiRJkrTqOfNJHauHT+nU0QUZ6VSF0qw5Zy9EXQifBrLNYeWnnw4DA2E/VD4tED7t/TLc9HrIbocr3g2Tt0Fh7Ng+X5IkSZK06pkIqGP9/aF66Wgrn0LbXXIplqQjiKIwJL5UaPlvFsdw/ath/zfhnn+AH/7fxW9QyVGqZBsvTzsNEokQRM4WB+a33RUPwReeFMKmTY+EKIK+LVA40M2vJUmSJElaRQyf1LH+gfDnkklXj+q6VDJeHW13//kYuOO9vV5FVzUrn1pmPpVn4I6/hs8/Fu76G7j9nYvfoJIjVxpsvNy5M2wHBuC9//YobnvwTKgUm+ff9YGwPeUauPRPw35r+PSDP4Kb//Q4v5UkSZIkaTUxfFLH+vvDn0sqdXThUzodUyovw59aJQ+Ttx/btXEMY9+C61/V3TX1XC18KrX8NytPNfdnH4TcHogX+W9azpErDTRe1sMngMnpLE99y+cg/xDM7g4HZ+6H9Cg8/iOw8ZJwLLMZigfDZ/zg/8D3/3fjKXySJEmSpLXP8Ekd6x8IrXPV+Oha6NJpKC9H+PSNn4NPnxtCqKNVLXR/PStARK3trtgSLpVaw6fdUC1Bfn8IouaqtIdP9WHjY7URTpVqEj6xEz59PlTLIdhKD7ffo29LCJ5a5z7N3n8c30qSJEmStJoYPqlj9fCpXDm68CmVipan8unBT4btsYRPCw3OXgOiqN5211r5NN3cr4duN/4OfHwHTNzWfoNKjlwxTJp/xSvCvKdWF5x8KwDX/+g87r7+2yHYWih8Ahi/qXls/38f0/eRJEmSJK0+hk/qWP9geDhipXr0lU/LMnC8Wps9VDmGKqbyDGNTmyiW091dU481K58qcMtbIL+vvfKp7p6/D9vJW9uP18KnJzwB3ve++Zdt6J8gjuFRb7yeRzzlEeHeqbnh0+aw/eJPNI8d+t4xfiNJkiRJ0mpj+KSO9Q+EYOZow6dUOkG5sox/asfSQleeYcurxnjhO6/t/np6qB4+7b1/H9FFr+e6N/wmfPc1i19QONj+upIjV8zS399++K/+KmxniwPcuvdRAEzO9C/YdldJbWG20HKDKAXT9xzL15EkSZIkrUKGT+rYwFAGgHL16KqD0umIUjm1FEta2DG03c1O5gD4+A3PXWPDsMN3ufmukwH4i0+9Bg7duPjpM/e1v67kyBf75oVPv/Ir8ITHjDMxu4G3fPoPADjv1PugNDmv8ulJz72IwV+c5Z/++8XhwLarDJ8kSZIkaR0xfFLH+gdDxVMlseGorktnEkc9J+q4dFr5tO/rMH4LAGP7i83ja2j+U1QLn+q/k1KlJTg893/BpkfCwI7msZl7229QniVXzMwLnwAGBmK+cceV/OOXngXAyZv2zpv5VK3CN7/dB8BvXfe3zF78tzByDswYPkmSJEnSemH4pI7VA4hKJTqq61LpRAg9lquiqNOZT9e/Cm7+IwAO7C8DMNA3A8Wxw121yoTfebFQAaDUOtPq4j+Ep38bRs5vHmsNn6plKE2QK8xvuwMYGN3Y2N+x7QCFYiK03bVUPj30EJTLEc98Jjy8L8u3DvwCDJ4OxUNQnOjKN5QkSZIkrWyGT+pYM3w6uuvS6WQIn6ql7i9qIZ223ZWmGsO3DxwIX2qob5r8xEEm1kguEkVh5tP0TKg8a6t8Sg2F7fA5zWOt4VMhhHCLVz6FbTIJF57xMIVislb5NNI4597a7Z73vLD94Q+BodNrn2X1kyRJkiStB4ZP6lg9gCiXj+66VCZJHCeolpapna3TtrtKLvwAB/aHQ4N9M1z15D5GR5dmacsqjhvVZlO5EDQVy5nm+4laK+Tw2c1j+b3NCrVC+KXk8imy2fm3r/89jIxAti8O4VNcbmu7q4dPj31sOO/WW2m2+eUeOp5vJ0mSJElaJQyf1LFjrnzK1KpucrNdXlGLaksi1mnbXSUH5bCmA2OhlXCwb4Zv/+iCcMtqV1e4/OIyUVQLn/IhEGqrfKrLbm/uV0tw61th+l4o7CeOQ/h0uMqnkRHo64NCqRZs1druqlX46lfDoZ074fzza+FTsv6HdPSD4SVJkiRJq4/hkzp27OFTeNLdkoZPpcnm/rFUPo2FgKx/6+mNt/fu7drqeqNabAwcr4dPbZVPdVseHbYnPDVsb3oDfOUnoXCAQikMCz9i+JRNUCiHc+uVT7/92/C+90EqFa6/4IIQRm0750JO/Y37uOPOZXwCoiRJkiSpZwyf1LFjDZ9StfCpXFzCSpdSy5CmTipqqiWIK83w6WCoCCpWBxqnPPBAV1e4/KrNJ/hN5Q4TPg2dDi8swLm/2Tw2cz/k95MvhX67w4VP/f3Q15doBFWkh/nRj+Dtb4dTT4V/+Idw+Nd/HV7+cnj8Yws8MHYqd9y9QC+fJEmSJGnNMXxSx/pq2cLRznxKZ0KwU8rluryiFsXx5n4nlU+10IlKre3uYAhlcrnmP4kH7pqcd9mqUilSrobgb7G2u3/7N3jnO4FkBvq2NN+Iq1DYT64YUqeFwqf6sUwG+rLJZuVTapibbw67H/84vOhFYf8Rj4D3vhd+/3fD775cOso/JEmSJEnSqmT4pI4NDYWnln3yk0d3XbovBB7lwhKGT7Xh2EBnM5/Kubbt2HiowmnNxx741me6tbreqBYpV9rDp2K1nhhtAuCaa+A3fgPGx4HsltaLIb+fHCcAh698Sqdr4VNL5dPdd4fdM86Yf12qLwR95aLhkyRJkiStBw5dUceiKFTKHK1UvfKp0OEspmMx8cPmfidtd3Mqn2ZzYebT2FjzlAceWiBxWU2qRcrV8Lsv1NrnSqUkXDMOUfi+mQwUi/CRj8ArXra15doS5PcyG58MNIOmVvVjqRT09aeblU9DZ3D33bB5M2zYMP+6VLoWPpVX+0R3SZIkSVInrHzSkkvXKl1K+SWc+TRxS/MpakfTdlctQrVCrhBy2NmWmeh79o90eZHLrKXyqVUluQHSQwCce2449q1vAamh5klxBXZ/lKnMFQAMD8+/fXv4lKJcSVOtRpDdxl13LVz1BFY+SZIkSdJ6Y/ikJZfK1MKGJa18ugU2XRb2KwWoVmDyjsXPr+Ta9ltnPdVNzy4wnHs1qZbmzXgCmJ5u7k9Nhe3EBKG0rdXoLiZPfh0Qnmg3V7p261QK+rLhd1Wvfrr7bjjzzIWXlUqH33W5dJST6yVJkiRJq5Lhk5Zcs/JpicKnOA7h0+gloZ2smoe7PwCfPgf2fXXha1rDp9vezmwumnfK6g+fFq58mmyZo94WPtWlR+H818ET/53J2UFg4cqn+uD5dBr6BkLotDf5bD7/ebj33mZV1Vyp2pLKJdvuJEmSJGk9cOaTllw6W5s3VFiitrtKHkoTMHAqJLOh8qlwILx35/tg2xMWuKZ1svh15Eq/2vb2SVsOMTWbXZr1LpfCAcrV+QnQvn1wyilhvx5EjY/X3nz+JEQpSIUWxno4tVDlUz18SqWgbyikU+e94lrqBW4veMHCy2qET2UrnyRJkiRpPbDySUuuPnC8XFyiyqdqLdRK9kOiL8x8qs8v2vPvC19Tbgmfxr9PrjRAX1/z0CknjDOdW+UDx8d/sGDl0803h22hAKVS2G9UPqWHG8ETNMOphcKnelvdE55A43dXKIQKskc9Ci64YOFlWfkkSZIkSeuL4ZOWXH020JINHK8HScksJPtC5VP9iXfFQwtfU8nxHzc9je/ccxlxDLlChk2bmm+fdcohpvMLPOJtNRm/qW3m0+mnQzYLN90UXtermqCl8mmO+jkLtd098pFw++3w6lfTFtzdcQd84QuLL6sZPsVH/g6SJEmSpFXPtjstuXr4tGQDx+dWPlXyzfAJoFKE5Jz5TZUcz/jz/wAg/8E+qtUEGzfCQw+FtzdvLDGdHwyDyxPJpVn3EosP3kSl2vwnPjgIF10E3/9+eF0PlrZtmzPzqcXkJPT3NwOjuc4+O2xbw6cTToChoYXPh9a2OyufJEmSJGk9sPJJS64eNpSKxaX5gFrl07s/fBHR1fdQKpZD611daYFkpWXmU64Y2szqlU+ZDAwPx0znh4jLs+HgP6fh5jctyfKXRBxTGW9/2l82C5dcMj982rEjtOAtVJg2Oblw1dNcreHT4ODhz7XtTpIkSZLWF8MnLblm290ShU+1yqfffcslAORycXvlU3F8/jULhE+bN4fXW7fC0FBEpZoiPz0dnqYXl+H7f7Aky18ScbkxELwum4VzzoH9+0PwVJ/nVB8+vlD109TUwvOe5moNn6L5Dw5s06x8su1OkiRJktYDwyctuUbYUK98+qcE3NTFIKcWNBWKidrnlNrDp9L4vEuqpZbwqRTCp40bw+utW2FoOCQo0xM5qM4JzeJVEJpUS5Sr7b1y2WyY+wRwzz3tlU+wcPh0LJVPR2L4JEmSJEnri+GTllyj8qlQe7QaMdzSxRa2WhVTuRz+nEvF6pzwaX6qMjNVaezPFtoHi4fwKSQk0xP59ha+rz0f/vUwA41Wimqpbdg4hPDpjDPC/t13N8Onblc+HUkiAVFUdeC4JEmSJK0Thk9aco3wqViBeAnm/FTahxUVC9Ujtt1NTTWDj1wllDzVq4Ke9SwYHglDxqcnCmFged0D10Fldt5nrjjVEuVKZ5VP9fBpoSfeTU52P3wCSCUr89oCJUmSJElrk0+705JrDpguQbV0+JOPRcv8JqiFXNU8pIahPHXE8Gli+28AcOWVcMcdcOaZ8Ll/DYnZ1HixvfKpcdEPYdMjuvcdui1eOHyqD1V/7WvD8HFott0tFD5NTR1d2106ffjz6pKJ2PBJkiRJktYJK5+05Jptd+X585O6YU4VUqlUq3zqP6F2YH4/2fR0c39v9vkA9PfDWWeFgdlDI5naeaWFw6fx73dn7UtlgZlPmzeH71YPneIYrr46vE4m4Xvfa7/F7CwcOHB04dPAwOHPq0ulqoZPkiRJkrROWPmkJdeofKoA5enDnntM5lU+VUOrXN8WmLpzkcqn5iPZHn44bPv7m+8PjWYBmJ4sQ2WB8OnQTce97CXVMvPpHe+Aiy+GRz0qvPXJT4btaac1T3/84+HP/gze+tYQUCWTUCyG/auvPvLH1QPGwcHOlpdKGj5JkiRJ0nph+KQl16h8KqehcLD7HzC38qk+cDw5AOkNCz7tbmo62divh0+tVTtDI7XwaaqycLXWzL3Hu+qlVS022u62bIEnP7n5VmvoVPesZ8GXvwzPex6ccw5UKqEy6olPhKc//cgfl6z9Oi+8sLPlpZJVKpUjnydJkiRJWv0Mn7TkGuFTJQ3Fse5/wJzKp2KRED5lNkJmAxTnt921hk9794Zte+VTeDE1GS9c+VTYd9zLXlItA8c7mcP0m78Jl18OV10Vqp2O1o4dcN117SHX4aRSVcqVY/ggSZIkSdKq48wnLblMGJ9EodwHhaUIn+bOfIrDwPFkFgZPhwc/AYfaZzRNz8yvfGoNn7KD4UWxUJ4/86n/RMjt7d76l0LcnPmU6iBiTqVCldOxBE91P/3TsHFjZ+emkjHlcrQ0Tz+UJEmSJK0ohk9acsPDkExWGZ8ZhcKB7n9AJQeJTONlqUSoVkpm4TEfgNIk7Pn3tkumZprlQAu13WX6wj+NYmGBtrsNF0N+L0zf281v0V0tM586CZ+WWyoVh3BsoaoySZIkSdKaYvikJRdFMLqhwsGZTSG06bZKnjiRbbwM4dNsCJ8GagOOqqW2S6ZmmmHVbbeFbbZ5i0arWrFQmROQRLDpMihPwSdPh4nbuvhFuqil7W5Fhk/JOKxvoScJSpIkSZLWlBX4f0u1Fm3aGHNwehPkbu3+zSs5cpVNjZelSjpUOyWykEgC0bzqpelchv6+Ai9/RR/33x8GZSebnXgkkxBFVYqFajMgefp3YHAn7P5Y88SD18OG87r/nY5XtUS+FNK01lBtpUilauFT7NRxSZIkSVrrDJ+0LDZtijg0s3HJKp9mSs1hQ8VyBsozofIJIJGGeG7lUx/DAwXe+c6+BW8ZRZBJlSgWWwaOJ/uhbxNfuOECTth9ARfuuBXGv7/g9cflljdDagQO3gBXvAvSQ0d/j2qJmcIgAIODXV5fFzTa7gyfJEmSJGnNM3zSsti0Ocn+25eq7S7HdLEZPtVnHZGsBUuJ9Ly2u9l8hsH+ObOc5sikyyF8qhZ58OBJbC72cXAPPPPnH002+Q2+9PtP4rITliB8uun3m/ujF8H5v33094hXePjUaLsr93opkiRJkqQl5swnLYtNmxMcnNkM+Ye7f/M5lU+N8Kk+ByqRmRc+5Qpp+rOHr7rJpEL4FFcK7Pj1B3nez57Iu94F5XLEcHaKp//5fzC+576ufpV5yjPHdl21xEw+pE6tg9RXCiufJEmSJGn9MHzSsti4EQ5Ob4bcw7zk3f/Ix294TvduXskzU9zQeFkq1yufWtruWmc+xVVmC9kjh0/pCsUi5GbCeZ/9XD833QSXXhrx7v9vjP2T27jt3u3d+x4LKc8e23Wroe2ukoLYyidJkiRJWusMn7QsNm2CidlhKsUZ/ukbL+G5b/94925eyTE2s63xslgJT7L79i2n8Xd/B0Rz2u4qeXLF/g7Dp4jJybhxbN8+2L4dTrzgUgDGJjcudvmxmVOhRWWNhk9JK58kSZIkab0wfNKy2LQJ4jgRnnjXbeVpHjhwUuNlvfLp0S94Ab/4ixDPC59ytfApnnunNpl0lUNTg3z3ls2NY/v3w9at4fsAHJzesMjVx6g01f76WCuf4hKzxdBvtzLb7vBpd5IkSZK0TjhwXMuiHtY8NH5id28cV2Hydh6YOLdxqFRJs39yS+P1wZltbI7nhE+lfrb3Vw9760ymyqdueBqfuqF57MEHYdu25vcZm9oIcRwej9cN5Tnh0zFXPhWZKQzS318lkVh5GXMqFTPrwHFJkiRJWhdW3v8r1ZpUD2v2HDrp8CcerZl7oTLL7kM7GR0Nh0qVNP/5/ac1Trl/7JT2mU/lUPk00H/4W2fS8yujyuUQPo2OQhTFHJzZFAKwbulW5VOt7W4lttxBrfLJtjtJkiRJWhcMn7QsNtZGI80Ln770dLjpD9qPTf4oVBN1YvwWAB44sJ0zzgiHSpU0N+++qHHK/QdOWbjt7kjhU2bh49u2QSIBG0dyjE1t7m6AMjd8Os6ZT4MDHf4el1mz7c7KJ0mSJEla6wyftCwWbbub/BFM/aj5eu+X4NPnwd1/19mNJ24GYPfDQ5x+ejhULGf44YPns2VzCDbu33/ywuHTwOFb5RYLn7ZuDdtNG/K1yqcuhk9z2+6Op/Ipv4Irn5JWPkmSJEnSemH4pGWxaNtdXIFKofm6VsnEwe90duPZB4nTm3hgd5JTT4VkMqZUSfPDPefzhCuL9PXBA2Mnzg+fSv309x9b+LSt9mC9zaP5MEC9m9U789rupmDiViiOH9194nrbXZdmUXVZo/LJmU+SJEmStOYZPmlZ1Nvu2iqfqpUQPrXOY6pXwkQd/mlWi0zkt5DLwUknQTodM1MY5K69Z3LhRUlOPhn+4iMv4dPfuLz5EeV65dPhPyOTaX+/XkW0pTbLfNOGAmPTXW67m1v5VDwEn3ss3PrWo7tPre1uYCWHT1Y+SZIkSdK6YPikZZFOw/BQub3yKS7VwqeWyqdG+NThgxirRfZOhnueeGL4nLv2nkk1TnLm2Rne9rZw2o13ntG4pJgrEMcJ+geSh711Zmi07fU3vgEvfzmcemp4vWm0UKt86u7Mp9//1zfxnv/65fB6djeUJsJg9aNRXeGVT+n6zCfDJ0mSJEla6zr8f/jS8ds4WmHPeEv4VC0dpvLp8MFQ6z0engjVVNu3h/BpMjcCwMBgxNVXQyJRIV9s/qnnZsLnHTF86s+2vb7kEvibv2m+3jRaZGz6RIgLHJPcXujbDImWf4blKd78id8H4FU//t6Wcx8+untXS8wUh1buzCcHjkuSJEnSumHlk5bNpk1z2+5KYeZP68wnqmFzFG13D0+cAMAJJ4Q5TdP5IQD6+iCKoL+vSL5QC3hm95A7cB8A/UPZBW9Zt9jMp7rhwTIzhUHiyjEEKJUCfOrs+YPV5858qssfffg0WxhYweFTZNudJEmSJK0Thk9aNps2JShX0gBEUbUrlU/fv/Mk/vzffgkI4VM6HTFTCIlLX184J5spkSuEz+UTp5L7wV8D0D8ycth7Hyl8GuivUqmmKBWPIUApHgzznea20y0WPh1t5VNj4PjRL205JJMOHJckSZKk9cK2Oy2bTVuaf26JqBpCp7kzn6pHN3D8x1/7R+wfHw333xTCp+npUPlUD4+ymTL5Yi18iivkiv0ADAwc/t6t4dPVT7oVuKDt/YH+sNbZmZjMxo6W21SaDNu5T7ErTzd27xs7i7/78kuoxuF3ceK+Er/yq+nO7l8tMbPiK5+SVj5JkiRJ0jpg+KRls2lTc/h1MlFpDhyvtFQ+NdruOqt86s80g6tEIsx8Gis02+6g1nZXD5+iFLntPxeO9x/+3unaJb/8y/Ce91ww7/2B/rDW2dkqox2ttkVxImxLE22H49JMY/9dX3o9b/vYy4miKnGcgI/Bc54bnup3JNVyiUIpe8Tv2CupVOTAcUmSJElaJ2y707LZ2FIdlGi03ZXnVD4dXRvWFefc1vY6nW6f+QSQ7auQK2QgrkJcZrYaZkQdKZipVz4tdt7AQAzA7Ez1qNYMQHnhyqdCrhnE3br7XM476YdU/zHJh1/9MwBMT9ORUjGsKd1hodRyS6WhUk06cFySJEmS1gHDJy2bzZub+4nEwjOf9h1Icu5v38bt92zo6J4DfTkgzHuCEBhVqqGgrznzqdZ2Vy0BkCuFNOl4w6fBwXrlU9zRWtssUvmUmyk19m+8+1x2brkXgIG+WQBmxheZCTVHPXw60tyqXnHguCRJkiStH4ZPWjZt4VNUbVY8tTzt7rrPnc/tD53LO/7xMR3ds1yO2Dg8xa23htetlT6N8ChbJlfsa4RcuUJ4yt2RwqdkrfOvHmLNNdBfq3w6lvBpkZlPudlmGLNnbCs7d10MT/wsg6c+GoCZQ+3nL3r7cljTiq18qrfdVcvw4KehPNvrJUmSJEmSlojhk5bNli1zDpRD1VJr5VO1HNqwElFnFTGlcoITNx9qtPS1hi2tbXf51vCp2Fn4VKktIbXIZLR6293MzMLvH37hE3zxlidx6FD74VyuvYVv5wU74KSnM3Da4wCYnc51dvviyg+fKtUU8cHvwleeDd/5zV4vSZIkSZK0RAyftGxaK59KlTRU8+FFtQhxCEuqtcQnotPwKUk61QxsFgqf+vvKSxM+1a6fPYainQcegKe8+Yv8yl/9n7bjuTlVVDt3hu3gcPgyM5NFOrHiw6d0+J+eyvTD4cDUnT1cjSRJkiRpKRk+adm0hk/FcqZZ+UTcGDxdrdQrnzobRF0qJ0inmkFV64yj+n62rxoCp1p73+RsSI1GRg5/72ot00ou8uC9gYGwnZ05+ra7b984CsD+yVGoNtefy7Xf67zzwnZwJARms9Mdhk+lFR4+pcKTD8u58XAgsUKHU0mSJEmSjpvhk5ZNa/gUxwkqpXzzQK0qqV75lKCz8KlcTpBKNgObBdvuslXypSyUQ3/cxHQIco4UPtUrnxYPn2ozn3JRR2tt9c0bTwTgzG13Qbk5RDw3p6vu0ktrnzUckq6ZqRKdWPHhU7oWPk3vCwce/hx8/LQerkiSJEmStFQMn7Rs6nOZ6or5liClVpVUr3zquO2ukiSdbrbd1auRoKXtbk74ND7Vz/Dw4qFSY0m1JSQW+VcyMBi2x9J2962bTwWgUO5rDh2vlskVQo/fL1z1tzzwid9qnD+4oRY+TXf2eynWZriv1KfdpWttd8Wp/c2Ds/fD7IM9WpEkSZIkaakYPmnZzJ2dVMw3n3I3r/Kp47a7JOlUs/JpsBYIRVEzXAptd/1QqVU+TfWxYcOR732ktrvBetvd7NFXPo2Nh4sncyNQmggHyzNhncCvP/Wd7DihOcl8cHQ4fNZMh6FcLX1aqZVPmb7wOyvl55R6jV3fg9VIkiRJkpaS4ZN6pphvCZiqISyJ6zOfOm27m1P5NDQUtn19IYACyGbjUPlUmgZgYjrD6OiR732ktrv+gfDPZ/ZID6CLq42qq7pCKdx0Kje8YPjUn8m1zUFK9w+SSpaY6XC+VCkfwryVGz7VKp/Kc0qzDt7Qg9VIkiRJkpaS4ZN6plhohkZUjm3mU6mcapv5VK98qrfcAfT3xxTLfVSLtba7yUxHlU9HCp8SySTZdI7Z2SP8M/re78C/DkGlOeOqUAxlYJO5kebg9dbwKZ2DZMuXiBIM9s0wO9th+FRY4eFTZpHwafz7PViNJEmSJGkpGT5pWb373XDFI0IIUyzMr3xqtt11OFi7nGwLWOqVT1FLJ1y2luHkZ8PnTkylOwqffu/34Mor4fnPX+SEKMlA3+yR2+7u+VBtsZONQ8VyCJ+m8sNQqQ2Nqixe+QQw0JdnZqaDFr84plQMv78VGz4tVvk0p0JMkiRJkrT6GT5pWb361fDaXw8hTLHQMr+oMfMpVEN1VPkUVylV0qTTzWqgevhUasmustnwfn4mBFwTk+mO2u527oSvf33+oPSGKMlAZpbZ3BH+GUW1YVfV5qIKpRC6TOZGoFKrfCpNkystHj4NZvPMHKnKCqCSo1QO563Y8GmxyqeW6jBJkiRJ0tpg+KRl1wgeWsOn2tPuKrXwKeokfKqWKFdSbYPM62135ZbL+/tDtVB+NnzG+GSqo8qnI0qkQuVT7gjVSIlaAlRtDlhfMHyaN/Opr+02g/1FZnNHeEQfQGmKUjl85ooNnxarfGr5HUmSJEmS1obUkU+RuqvxpLNiFeq5TbUID/8XpVKoUqp08lC3ailUPqWagcXClU9hm5spEccwMZnsTvjUqHwa5o474OyzFzuv9s+sVtUTV2MKpbCo6fww1WIupMC1trtUqkoqWYHUQNttBrIlZmY7+CdbnmqEOpnMEc7tkfrfQLGcgbN/BQZ2hCfdTd3R45VJkiRJkrrNyictu0xfqN5pGzheLcDNb6LANqC9cmlRcS18aqnuqVc+VVtunW1UPpXIl7KUSlFHbXdHFCUZyk7z5f/ZwjnnwFvfush5ifbwqVQIYdnocKh4mp6qJW0TPyRX7Ke/H3jCJ2Dnz7bdZrC/xGy+g/CpNEmpssIrn2qhWLGcgewJcOHvQXLAtjtJkiRJWoMMn7TsMpla1UuxNXwqQmE/xdRJAI2ZRYdVKdba7pptb/XKp1b92fD+vgNJxmdGAbpW+bR9ZC+TUyFJef3rIV7oYXSNyqcQNhVnw4DxrZtC0DI1WYGpu+D7f0AucVpoE9zxU9C3qe02gwNlZnLtrXgLKk2tnvCpkoFkrTQtmbXtTpIkSZLWIMMnLbtm5VNLUlMpQHGcQiWkR+VyJ091q1U+tbSW1SufWo2MhvDnyb/6OvZPbQXoUuVTiu0b9rYdGh9f4Lz6zKdaVU9hJoRQWzaFIeuTkzFM3ArE3DH1FE4+eeHvPtAfM5PPHnldq63yqT7bKpm18kmSJEmS1iDDJy27xrDpYkv4VC1C8RDFSphz1FHlU7U4r+1uocqnK6+MeeauzwDwzTt+DIAdO45t7W2i5LzwqbBQ4c6cyqdCLmy3bg6DqaamgJl7KJbTfPOGER7/+IU/bmS4wuTsAula3X88Cr73O1BeRZVP5Qwka+FToq8xeF6SJEmStHYYPmnZpTO1yqdiy8HyFFRyFCvhaW/lSvjT/OpXoZbVzFd72l063awUWqjyKdU/wv96xtsB+MoPrwLgtNOO7zsAC4ZP+YUKd+ZWPtWeurdlc5j1NDmZgOm7+e79jyOXixYNn0Y3VBifHSUuFxc+4eD18MO/CJVPK/1pd7XwqVDqm9N2Z+WTJEmSJK01hk9adulM+LMrl1pmPuVCiFOohCCiVE5w1ze+wlVXwa/+6iI3qlU+HWnmE+kNnLblPgC+cttVpFIxJ5103F+j48qne/ft4N2fe3Wz8mk2BCxbNofvPzUdwfTdfO62a4giFg+fRqFY7iM/PTX/zWrLhPbrf2XVVD59775HcNcDm3nb2+BPP/DjfO/uCyGuHv5iSZIkSdKq0sGjs6TuSqVD5VOp1NJ2lw8hTrFcD5+STHzpfwHf5cYbF75PXClRqaZIZ44UPg1z6ub7Adhz6GROPz0mmTzebwEk5s98Wih8+onXv4M79+zgJb/xIUZPh2I+nLQ1jJ9icioJ03dz3TefyZVXwvbtC3/cxo1hO35glv7Rze1vFg+1vyyHdCeTYUWqr+ttn3kdb/tM/eiT+eauP+HTv1OAVH+vliZJkiRJ6jIrn7TsUukFKp9q4VOhHOb/lCtJoiiEU9XqQo+Qg1IhVPuk080/4wXDlkSavmySE0f3AHDaaR0MM+9ES+XTxsGDwMJtdwcmw6P1ysUQOhVyoW1uy9aQgE1Opbj/3hI/uHsnz3ve4h83ujF8z/GxBfoQC2NtL0t9ZwArv/Kp1dmnHSJfsvVOkiRJktYawyctu3ogUi7DG6/7Iz783z/TUvkUUolSJU2lGsKZuLLwjKNyMQzsTrXMfIoWy5XSI+zcei8AO3ce3/qbH5Zk+0hYd72tb6HKp/qaCrkQlhVm28OnqYkCDx7YBMD55y/+caMbwy/u0IEFPqTYEj71baZ0euhVXE3h07bN+dAu6NBxSZIkSVpTbLvTskvV/upKpZg/+dgfAvCSp58LQLE2KLtcSYVh1EC1lAP65t2nVJxf+QTwjnfA5ZfPOTk9wm8+7S/ZNnqIX/iFn+zOF4mSDGZn+ZNr/jejg+P8+ofetUj4FCq3CvlS23Z4Q4ZMusjkeJ6D0yF82rRp8Y8b3RQSm/GDC3xI4UBzP9FHKXxEd9oLl8Dc8GlwEAYGqkxPpRuD2SVJkiRJa4Phk5ZdPXwqt8zIbrTdFcObpUq60YIXV1pPbGqET5n28Ok3f3OBk9MjvPDH/pUXPukr8ISHj33xraKw1v/93D/l+ruuABZ52l1NIReebleshU99A30MD+SZyg13Fj5tDr+P8UML/D5a2+6SWUqlUPW0aCVYj80NnzZuDOstljNQtfJJkiRJktYS2+607Frb7hpKEwAUy83wKV8Kw8erlcqC9ykXK7X7dfBnnB4J20QXJ3BHzbKivnRtntNClU+Eyqd8LXwq5MMX7+vPMjKQYzI3wsGZTsKnMIR7/NCcp8HN3Affe13zda3yaaW23MH8iqzRUUino1rbnZVPkiRJkrSWGD5p2TUrn+YMEk+kKRRqw8grqUb4FFfnhC019cqn+tPzDiu9ofYZSxQ+pRYPn+oK+WptWw+f0gwPFpnKD3OwcBpRBBs2LH796JZBAA4dmvPGzX8CxYPN1+e9ZsWHT3OFyqeIUtmZT5IkSZK01th2p2XXnPk0pycsOUCxNlu8VEmTL9YqnxYNn2qVT5leVT41P7de+bRQ21195lO+Hj7VKqD6shEjg4VQ+VQ4ndHRw89o6hscpj8zy/jEnN9b39bm/ourEEUUi4s8+W+F2rgR0sla5ZNPu5MkSZKkNcXKJy27evhULM3580tmG+FTa+VTtTKnQqqmVCszSmc7SFmWJHyKGtVP2XQITBaufKoPHK9vQ/iUycBw/3SofCqfc9iWOwCSGUYHxhmfmPN7q7epnffaxpCn1Vb5FNruErbdSZIkSdIaZPikZVcPn2bzc55gl8w2wpu2mU/VhcOncn423K8v28GHDoVtZvRol3t4tfCpo5lPtfCpWCuP6uuDkcy+UPmUP+XI4ROwaXiCsUNzArTSJPSfDJf93+ahVRY+bdwYKthC+GTbnSRJkiStJYZPWnZRBMlEmZn8nNBoscqnRcKnRuVTX9+C77c5+dlwyjVwxbuOed0LqodPqcXb7uoKhVrlU672tLs+GD71EUwWT+Tg1HBH4dP20UPsHRuE3N7mwdIkZNqHRa228Kmt8sm2O0mSJElaUwyf1BOpZIWZwmD7wWT/gpVPcbUK8fwAqhk+dZCybH0sPP4jMHrRca17nk4qnxozn0JLXGv4NLJtK5O5EfbvjzoLnzZN8PDeJHzsBNj3tXCwNAmpkbbzVlv41Kh8cuC4JEmSJK05hk/qiVSyPC98Gp/d0j5wvBY+lSspKE/Nu0e5Vma0EkKWZKJKKlk6/Myn2nv1p91lMrBpE8zOwj33wLZtR/6c7Ztn2DuxPbx48FNhW5pszrSqWU3h08AAXHYZpDNJZz5JkiRJ0hrk0+7UE+lkmdniQNux+w6cBsDgYBza7mpPu8uV+qEwNj9gKYSkKtXLv+LyTNgmMvSlChQK8xOfqDFwvAxxTCFfJZ0qk0ik+OVfhs2boVqF5zznyB+3fUuemcIQM/kBBqfvDgdLEzCwo+281RQ+7dkDGzbAv38ySamShKqVT5IkSZK0lhg+qSfmtt2Vyinu2x8ClLPOith3X7PyabYwAPk7Yej0tns02u56GrLU2gH7TyKbzpPPDQLRgmfmZwtQnqZYSpJJVwHYsgVe9arOP237tlA1tXdyO2dM/jC0Iy5Q+VQshsqq1WCglkGmM0mK5T7icn6R36AkSZIkaTWy7U49kUpWmc4PNV7nS1nu238yAGedBeVqc+B4vtRPdfbh5sVxDF97PqWHvwX0OnyqGTiZvnSBQr407636zKexiWEe/4QEf/uVX6Svr3pMH7N9W7ju4fETYOJW+N7rVn3bXX2d6b6QhVeKVj5JkiRJ0lpi+KSeSKfKoaKpJl/Kcu/ek+jvhxNPhFK5WfkEkB8/0Lx431fggevCLCh63HZXt/ERoe1uenreW9VqqOO54Z4r+Pr/DLLrtBv5/V+/85g+Zvv2cK8r/+gbPJB4Mez5dJiH1RI+/ehH4ae//5g+omfS6fA/R6VipccrkSRJkiR1k+GTemJu212+lOW+fds47bRQCVOupiiU+hrvz46PNS+++4NAGEoOK6TCZ8uPhba76fmD0Qul0P/2o4fOBeBdL/s1Xvtr48f0MSee1Eza7px4HEz+KLyohU9TU/CsZ0GlAm984zF9RM+kMyFYM3ySJEmSpLXF8Ek9kUpWmS402+5yxX4e3L+ZHTtCmNT6tDuA3MR48+J8aMFbUeHTpsvpSxcpzM7Oe6sePj0wdioAp225D/q2HNPHnHRKH7/59HcAMF46tflGegMAn/kM3Hkn/OM/wmMfe0wf0TP1/46l4rG1JEqSJEmSVibDJ/VEKlmZ13Z3YGKYLVtq4dOctruZ8YnmxcWwXyyHUGdFDNbObqOvDwoH74ex6xuH4xgK5WYF15bh/Qxd+DMwcu6xfU7fJl5TD58KJzePp0f413+Ff/u38PLHfuzYbr+cvvxl+Jd/ab5uhk9WPkmSJEnSWmL4pJ5IpyrMFNoHjo9NDLJ5c5jhVI2TzBYHGB0N7//1vz2heXF5EoDZYgivBpvde72TGiE72BcCs5vf1DhcLkMcN/+Z7dx6L1zxLoiO8XlumY2MDowDcCi3vXl8+Exe+EK47joYGYHh4WO7/XK66ip44QubrxvhU8nKJ0mSJElaSwyf1BOpZHvAMJ0fYnyqn82bmyHEdHEzj3kMvOSp3+DvPvfM5smlSUhkGjOjBgbovUSSvi1n89XbruJj/3FS43BhzoPbdp7RB8njKNVKDjLSP0kUVRnPbWocLg9f1tjfsePYb99Ltt1JkiRJ0tpk+KSemBs+PTR+InEcNSqfAKaTF5DNwo4T8425SUAInwZ2NNr2VkT4BHzu82HhP/f2v+CBu8NT7+aGT2dcdsnxfcjADhKJmA3DJcansrDz5+AJn+DAWLOS6sQTj+8jesXwSZIkSZLWJsMn9UQq1R4wPHgwzC9qrXwaG4NsFtKZJOVKCuJq+ClNwYaLmC0OkEpWVsbMJ+ANb4CB/jIzhSH+8xN7ASjk27/nRRcd54ekh+BnYjZu7uPQIeCxfw87foq9e5unVFdpdmPbnSRJkiStTYZP6ol0qn2o9IOHmuHTltqD4A4dgm3bIJVJUo2TVEt5KE8DMfeVfpI92V9kYHDl/Am/+c1w3633A5Ab3w9AIVduO+fCC7vzWaOjMD7efN0aPi3wwL1VwconSZIkSVqbUr1egNanuW13uw+GQUVbtsBTnwqXXQbFYghr3vb6JACVwiyJZB6AnT/xSmAFtJhd/v8g0fxn1D8chqjnZkO4VsiXgWZp1nnndedjN24M4Vxda/h0zTXd+YzlVq9gKxZ7uw5JkiRJUncZPqknUsm47XU9fNq8GRKJ9va0VDr8mZbyOdKZqbbrej7v6dxfb3uZHewHIJcLrwv59gqvbq13dBR+9KPm63r4dM89cNpp3fmM5dasfIoPf6IkSZIkaVVZOT1LWlfS6fbKp3v2nw6E8GneuZkQPpXzs1CapFptDtfuefg0RzLTTzpZJJ8PAUqxEMKnv3jd1/nWt7r3OfXKpzgOM5727g3zsU47DaLoyNevRM2ZT4ZPkiRJkrSWWPmknqi33aVTRSDB/sltpFIVhoeT88+th0/FHKQmmS02E6fBwWVZbucSKfozE+RyIQGqDxzfdcFBHvWo7n3Mpk2wZ0+oEqs7/fTVGzyB4ZMkSZIkrVWGT+qJVCoEDH2pIv39VfYfGmHzaIEoml/KlMqEVKKcz0N6kun8UOO9lVb5BNCfyTfa7mYmpoFNDA52N1B59athaChUPkEInR7zmK5+xLJrhk+9XYckSZIkqbsMn9QT9ZlPfekiG4dLIXzaWAAWCJ9qqUS5kIPsxMoPn/oK5PIJqJaY+dprgI8yONDd8GnnTnjjG7t6y54zfJIkSZKktcmZT+qJdCq0o2XSZUa3h0FPm7dvWPDcVO0xaKVCHort4dOKa7sDspki+UICiocaax0aspXsSAyfJEmSJGltMnxSTzTa7tJlRjeGArzNWxb+c0z3hfCpXChA/iGmis2p5Mn5I6J6rr+vSC6fhMIYM4WQjg2uwAqtlcbwSZIkSZLWJsMn9UQ9fNowlGPjxnBsoSfdQbPyqVzIw+xupuPTGu+txKCiv69ELp+C4sFm5dOwlU9H0gifyqt4arokSZIkaR7DJ/VEPXwaHc4zOhqOLRo+1SufisUQPlVPaby3EsOnbKYcwqdCM3zq7zdQOZJm5ZO/K0mSJElaSwyf1BPpevg0UmxUPm3ZsvC5zZlPIXyaqpzceG8lhk/9fSXyxRQUQ9vdYN80iaT/1I7E8EmSJEmS1iafdqeeSNX+8kZHykeufMrUn3aXh/KDTJdPaLy3IsOnbIVcId2ofBrsm4HieK+XteLVMkaKJYM6SZIkSVpL/H956olUsgLA6IbKEcOnekVMeXovxSLcfO+ZjfdWYviUzVbJFTJQPMhMYZCh7DTk9/V6WStec+ZTAmJnZEmSJEnSWmHlk3oiQRGA0Q3xkQeO1/5Ky1N7+INP/wnv//SFjfd+7ueWcpXHpj9bJV/MQGGM6UKt8unkZ/V6WSteM3xKQVyByP95kiRJkqS1wP93p56YnQ3bDaPwpCfBK14Bl1++8LmN8Ck3wS27m8FTtQrRChwP1J+tkitmw9PuytsY2nEJbOj1qla+evhULGegWoSE//MkSZIkSWuBbXfqiemZJADDwwm2boX3vQ/6+xc+tx4+lXIzXHTKzY3jKzF4Aujvj0P4dP+/MlMYYXCw1ytaHZJJSCSqlCrpED5JkiRJktYEwyf1xPRMSJQGh45c3dKofCpDpZpcymV1RTYbUSz3UakmmC5uYGio1ytaPTLparPySZIkSZK0JixZ+BRF0d9GUbQviqKbW45tiqLo81EU3VHbbmx57w1RFN0ZRdGPoih6Wsvxy6Mo+kHtvf8XRaHeJYqiviiKrq0d/1YURTuX6ruo+2ZyIVEaGjly+NQYOF5NkS9lAbj55sNc0GP1Cq5C6nRm4lOsfDoKmXSVYsXwSZIkSZLWkqWsfPog8PQ5x14PfCGO47OBL9ReE0XRBcCLgAtr1/xVFEX1Epe/Bl4JnF37qd/z5cChOI7PAt4OvHXJvom6bno2A8DQSOaI5zYqnyop8sUsJ55Q4cILD39NL/X3h37A3MiTmJ6OrHw6CpmMlU+SJEmStNYsWfgUx/FXgYNzDj8H+FBt/0PA1S3H/yWO40Icx/cAdwKPiqLoRGAkjuNvxnEcA38/55r6va4DnlKvitLKl8+cB8Dg9jOPeG4jfKqmKJT7yPav7P/M2cQEALnUWUxPY+XTUeirh08VwydJkiRJWiuWe+bT9jiOHwKobbfVjp8MPNBy3u7asZNr+3OPt10Tx3EZmAA2L9nK1VX/8M+DvPrVcPmjOq98KpXT5EtZstmVHT71pw4B8LRfeyWzs4ZPRyOTjq18kiRJkqQ1ZqU8y3yhNCE+zPHDXTP/5lH0SkLrHqeeeuqxrE9ddvbZ8O53d3Zua+VTvjy44sOnJ/7MM3jB179LLnsp51wIV1/d6xWtHpmM4ZMkSZIkrTXLHT7tjaLoxDiOH6q11O2rHd8NnNJy3g5gT+34jgWOt16zO4qiFLCB+W1+AMRx/D7gfQBXXHHFggGVVq7GwPFKinxpgOwKryQ65eztXPv57b1exqpk+CRJkiRJa89yt919Enhpbf+lwCdajr+o9gS70wmDxb9da82biqLoMbV5Tj8/55r6va4BvlibC6U1pq3yqdRHNtvb9Wjp2HYnSZIkSWvPklU+RVH0z8ATgS1RFO0G/hB4C/CvURS9HLgfeD5AHMe3RFH0r8CtQBn41TiOK7Vb/QrhyXn9wGdrPwAfAP4hiqI7CRVPL1qq76Leapv5VOxji+HTmpXJQDGfgbjc66VIkiRJkrpkycKnOI5fvMhbT1nk/D8F/nSB4zcAFy1wPE8tvNLaZuXT+pHJxBRnMhBb+SRJkiRJa8Vyt91JR61t5lPR8Gkta8x8ahQ+SpIkSZJWO8MnrXjtlU9Zw6c1LJOmFj5Ve70USZIkSVKXGD5pxWuET5XQdtfX19v1aOk0K58MnyRJkiRprTB80oqXTIZtqZK28mmNy2Sw7U6SJEmS1hjDJ614iQQkEnFt5pPh01rWCJ+w8kmSJEmS1grDJ60K6TQUyn2UKhnDpzXMgeOSJEmStPYYPmlVSKVgJjoLwPBpDctkIooVZz5JkiRJ0lpi+KRVIZWKmN74XMDwaS1z4LgkSZIkrT2GT1oVUimYmgr7hk9rVybtwHFJkiRJWmsMn7QqpFIwPR32DZ/WrkxfZOWTJEmSJK0xhk9aFdJpw6f1IJOBSjVFpWz4JEmSJElrheGTVoVUCmZmwr7h09qVyUQAlMo9XogkSZIkqWsMn7QqpFIwORn2DZ/Wrnr4VCz0eCGSJEmSpK4xfNKqkErBwYNhf2Skt2vR0slkwrZY7O06JEmSJEndY/ikVaH1aXeGT2tXpq9W+WT4JEmSJElrhuGTVoV0urlv+LR2NdruDJ8kSZIkac0wfNKqkEo19w2f1q5m5VPU45VIkiRJkrrF8EmrQuuQ8eHh3q1DS6tR+VQyfJIkSZKktcLwSavC1q1hOzwMCf9q16x6+FSw8kmSJEmS1gz/b7xWhXr4ZMvd2pbpC/+TZNudJEmSJK0dhk9aFbZtC9uhod6uQ0srk6mHTz1eiCRJkiSpawyftCrUK5/K5d6u4/9n777DJCnLvY9/q3OetDubE7ssLEvOQRFBFERFMaEo5sDR49FjOJh9PeoxoJjDwXxUzAFBEAQEJUnOm5eNs2lmejrnev94qrqq00z3xO6Z+3Nde3VPdXV3zXZPd9Wv7ud+xNRyG+FTXno+CSGEEEIIIcSsIeGT6Ahm5VMmM7PbIaaWw6FCJ13XZ3hLhBBCCCGEEEJMFgmfREcwK58kfJrdHE71kVQqSvgkhBBCCCGEELOFhE+iI5iVT9nszG6HmFoOp6p8Kkn2JIQQQgghhBCzhoRPoiNI+DQ3OIxPJKl8EkIIIYQQQojZQ8In0RH6+tTlK185s9shplY5fJLSJyGEEEIIIYSYNVwzvQFCNMPphL17rRBKzE5W+DSz2yGEEEIIIYQQYvI0VfmkKa/TNO0Txs/LNU07dWo3TYhKixaBxzPTWyGmkgy7E0IIIYQQQojZp9lhd98GzgBeY/wcB741JVskhJizpPJJCCGEEEIIIWafZofdnabr+omapj0MoOv6sKZpUoMihJhU0vNJCCGEEEIIIWafZiuf8pqmOQEdQNO0+YDUJgghJpWmqUupfBJCCCGEEEKI2aPZ8OnrwB+Afk3TPgv8E/jclG2VEGJOksonIYQQQgghhJh9mhp2p+v6zzVNexA4D9CAl+q6/vSUbpkQYs4xwyddl/BJCCGEEEIIIWaLZme7Ww1s13X9W8ATwPmapnVP5YYJIeYea7a7md0OIYQQQgghhBCTp9lhd78DipqmrQG+D6wCfjFlWyWEmJNk2J0QQgghhBBCzD7Nhk8lXdcLwCXA13Rdfx+waOo2SwgxF5XDJ8mehBBCCCGEEGLWaGW2u9cAlwPXG8vcU7NJQoi5yqp8mtntEEIIIYQQQggxeZoNn94EnAF8Vtf17ZqmrQJ+NnWbJYSYi6TnkxBCCCGEEELMPk2FT7quPwV8AHhc07Sjgd26rn9+SrdMCDHnSOWTEEIIIYQQQsw+rmZW0jTtHOAnwDOABizTNO0Nuq7fOWVbJoSYc6ThuBBCCCGEEELMPk2FT8CXgefrur4RQNO0tcC1wElTtWFCiLlHKp+EEEIIIYQQYvZptueT2wyeAHRd34Q0HBdCTDIrfNJmdkOEEEIIIYQQQkyaZiufHtA07QfA/xk/XwY8ODWbJISYq2TYnRBCCCGEEELMPs2GT1cA7wLeg+r5dCfw7anaKCHE3CSVT0IIIYQQQggx+zQVPum6ngW+YvwTQogpIZVPQgghhBBCCDH7jBo+aZr2ONDwKFDX9WMnfYuEEHOWZhQ8SeWTEEIIIYQQQsweY1U+XQIsAHZVLV8B7J2SLRJCzFky250QQgghhBBCzD5jzXZ3NRDTdX2H/R+QMm4TQohJY4ZPui7D7oQQQgghhBBithgrfFqp6/pj1Qt1XX8AWDklWySEmLOk8kkIIYQQQgghZp+xwiffKLf5J3NDhBBCwichhBBCCCGEmH3GCp/u1zTtbdULNU17C/Dg1GySEGKussInaTguhBBCCCGEELPFWA3H3wv8QdO0y7DCppMBD/CyKdwuIcQcVA6fpOWTEEIIIYQQQswao4ZPuq7vB87UNO25wNHG4ht0Xb9tyrdMCDHnaEbBkwy7E0IIIYQQQojZY6zKJwB0Xb8duH2Kt0UIIXA4ijLsTgghhBBCCCFmkbF6PgkhxLRyaLpUPgkhhBBCCCHELCLhkxCirTgculQ+CSGEEEIIIcQsIuGTEKKtOLSShE9CCCGEEEIIMYtI+CSEaCsOhy6z3QkhhBBCCCHELCLhkxCiraieT1L5JIQQQgghhBCzhYRPQoi2ono+zfRWCCGEEEIIIYSYLBI+CSHailQ+CSGEEEIIIcTsIuGTEKKtaJpOSZfwSQghhBBCCCFmCwmfhBBtRYbdCSGEEEIIIcTsIuGTEKKtOBw6usx2J4QQQgghhBCzhoRPQoi2Ij2fhBBCCCGEEGJ2kfBJCNFW1LA7CZ+EEEIIIYQQYraQ8EkI0VYc0nBcCCGEEEIIIWYVCZ+EEG1FGo4LIYQQQgghxOwi4ZMQoq3IsDshhBBCCCGEmF0kfBJCtBWHQ4bdCSGEEEIIIcRsIuGTEKKtODSk8kkIIYQQQgghZhEJn4QQbUUNu5OPJiGEEEIIIYSYLeQITwjRVtSwu5neCiGEEEIIIYQQk0XCJyFEW1HD7uSjSQghhBBCCCFmCznCE0K0FWk4LoQQQgghhBCzi4RPQoi2ono+SfgkhBBCCCGEELOFhE9CiLbicEBJd4AujZ+EEEIIIYQQYjaQ8EkI0VY0zQyfijO9KUIIIYQQQgghJoGET0KItuJw6Oi6BnpppjdFCCGEEEIIIcQkkPBJCNFWHFL5JIQQQgghhBCzioRPQoi2ohqOS/gkhBBCCCGEELOFhE9CiLZiNRyX8EkIIYQQQgghZgMJn4QQbcUKnwozvSlCCCGEEEIIISaBhE9CiLYilU9CCCGEEEIIMbtI+CSEaCsOB9LzSQghhBBCCCFmEQmfhBBtpVz5VJJhd0IIIYQQQggxG0j4JIRoKzLsTgghhBBCCCFmFwmfhBBtxeHQjGF3UvkkLNEolEozvRVCCCGEEEKI8ZDwSQjRVqTySVSLRqGnBz72sZneEiGEEEIIIcR4SPgkhGgr0vNJVEsk1OWPfzyjmyGEEEIIIYQYJwmfhBBtxeHUpPJJVHAY31TJ5MxuhxBCCCGEEGJ8JHwSQrQVhwPp+SQqFI0cMpWa2e0QQgghhBBCjI+ET0KItqJp0vNJVCoUKi+FEEIIIYQQnUXCJyFEW3E4ZNidqFSUt4IQQgghhBAdTcInIURbcThA1zVpOC7KpOJJCCGEEEKIzibhkxCirUjlk6gm4ZMQQgghhBCdTcInIURbcTg1aTguKsiwOyGEEEIIITqbhE9CiLYilU+imlQ+CSGEEEII0dkkfBJCtBWHw5jtTno+CYO98knXZ247hBBCCCGEEOMj4ZMQoq1I5ZOoZq98SiZnbjs6wSWXgKbN9FYIIYQQQghRScInIURbkZ5Popq98ikWm7nt6AR/+MNMb4EQQgghhBC1JHwSQrQVqXwS1eyVTyMjM7cdQgghhBBCiPGR8EkI0VbK4ZP0fBIGe/j01FMztx2dRJq0CyGEEEKIdiLhkxCirTgc5rA7qXwSin3Y3Q9+MHPb0UmkN5YQQgghhGgnEj4JIdqKwynD7kQls4rn7LPh5psrwyhRn4RPQgghhBCinUj4JIRoK1bPJxk3JBQzbFqzRl0fHJzZ7ekEicRMb4EQQgghhBAWCZ+EEG1FKp9ENbPyafFidblrF5RKM7c9nUDCJyGEEEII0U4kfBJCtBWr55NUPgnFrHwyw6eTT4Yrrpi57ekEMuxOCCGEEEK0EwmfhBBtRdMcxmx3UvkkFLPyackSa9n//i/o+sxsTyeQyichhBBCCNFOJHwSQrQVa9idVD4JpXrYnempp6Z/W9pZwfYnI+GTEEIIIYRoJxI+CSHaisPpQNc16fkkysxhd319lcvvvnv6t6WdpdPWdRl2J4QQQggh2omET0KItiKz3YlqZkWP220t83rhySdnZnvaVSplXZfKJyGEEEII0U4kfBJCtBUrfJLKJ6GYlU8ul7XsmGMkfKpmD5+k8kkIIYQQQrQTCZ+EEG3F4XSo2e5KUvkkFLPyyemEL38ZPvc5OOooCZ+q2QMne+WTpsH73z/92yOEEEIIIYRJwichRFuRyidRzV759J//CR/+MKxfDwMDMDIys9vWTuoNuzOXfeUr0789QgghhBBCmCR8EkK0FWu2OwmfhGKvfDItWKAuBwenf3vaVb3w6eDBmdkWIYQQQggh7CR8EkK0FYcDNexOGo7PKU89BTt31r/NDJ/sPZ+6utRlNDqlm9VR7OHT978P99wz/eFTPg8rVsBvfjO9zyuEEEIIIdqbhE9CiLbicEBJd0rl0xyzfr0KLeoxh93ZK5+6u9WlDLuzmOHTF7+oLu+4Aw4cUNc9HtUv6/LLp3YbYjEVIr7tbVP7PEIIIYQQorNI+CSEaCsO41NJL0rl01xRGOOllsqn5pjh0yWXqLApGrUqn7xe+MMf4C9/mdptMINCmW1PCCGEEELYSfgkhGgrZvhUKpZmdkPEtNm1a/TbzUDDYfvGksqnWmafp1AIenpgeLgyfHrqKRgasv4/p0I+ry7HChSFEEIIIcTcIuGTEKKtlMOnkgy7myu2bBn99kJBDbnTNGuZVD7VMv8vurpUOBeNWsPuhofVP12f2ibtZvgkhBBCCCGEnYRPQoi2YlU+6TO7IWLabN1qXS/VKXgrFiuH3AFEIupyrlU+/fjHKoTbv7/2tmgUfD71r7ryyV7tNJVNyCV8EkIIIYQQ9Uj4JIRoK2b49OHPrea6H943sxvT4WIxeOCBmd6K0T35JFxxhfVzvUoms/LJzuVSw8vmWuXTV7+qLnfvrlz+wQ/CL39pDUfs7q4Mn+wkfBJCCCGEENNNwichRFtxu9Xl1Tf+Jxe/5bSZ3ZgOd+mlcMop7d38+e671WUopC7rBSOFQm3lE6jhZXOt8skM27zeyuVXXaV6Z/X0qJ97etS61SEVSPgkhBBCCCGmn4RPQoi24vdXLdCt4XfZLFx5JXzhC9O7TZ3qrrvU5Z49M7sdo0mn1eV3v6sujzxSNca2KxZrK5/A6ms0lwwPq8tczlpm+xOpqXzatg3mzVPLDjtMXUr4JIQQQgghppuET0KItlITPqUHylevuUYFT5/978z0blSHMqtjxppNbiZljJdy6VJr2f33V64jlU+WWExdZrPWMnvgY4ZPPT2qsXg8Dscfr5Y9+9nqcrrCJwmihBBCCCGEScInIURbCQSqFmz/Kez4NQADRg61omfz9G5Uh+qk8GnJEmvZ8LCapa23VwVR9RqOw9ysfDLZw6eMLYu1h08mM3w67jh1+3SFT3P1tRFCCCGEELUkfBJCtJXqyqfiwx+Fu14NWEO08kX3NG9VZ/J41GW9vj/tIpNRfb4WL7aW7doFt9+uQqgvfKF+w3FQ4dRUBintzD7szh4+dXWpSzOEAnjBC2DFCjj3XKsX1FSxh0/mEEEhhBBCCCEkfBJCtJXq8OlQfF75uoRPrTGHaLVz5VM6DT6fqnjbuxfWrFHbawZnuVzjyqf169W6cyXkKBat640qn8zZIu2VT6edBs88oyqf3O7Kx5ls9lDs+OPh3/5t6p5LCCGEEEJ0DgmfhBBtpTp82j+yoHxdwqfmFQqq5w+0f+WTz6euL1qkKnR27bJe61yuceXTCSeoy0cemZZNnXG33WZdt4c89iDKXH7WWXDxxfAf/wHhsHW7y6X+P6eKWfn0ohfBypVw661T91xCCCGEEKJzSPgkhGgr1eHTvuhCAIaGIJFQ03pJ+DS2wUFrFrR//EP9+/Wv4X3vg7vvntlts7OHTwDLlqmwzBwaZoZP9SqfzPDp4YenfDPbwmWXWdcbVT6ZyxcuhD/+Eb761crHmK7w6bOfhfPPt/q0CSGEEEKIua3O7rwQQsyc6objB+PzyeS89PUBaADkCxI+jcXshfS5z8GnPw1nn23dtn27CibaQSZTGTgecQT8+Mfw0Y+qn7NZNUysXuVTf7/qFfXYY9OyqTMukVD9m/7618Y9n8xArhGnc3rCJ7dbVbLF45BMQjA4dc8phBBCCCHan1Q+CSHaSnXlUzbvJZWrTKSk8mlsZsXJmWeqcOaPf1TDts480+oF1Q7Mnk+m97wHzjjDqnwaGWlc+QSwejXs2DHlm9kWslmrMbu98sm8ftVVapjdaKar8sntVtVXAPv3T93zCSGEEEKIziDhkxCirVSHT7mCh1zBU7NMjG7DBnW5di0cfrjq//Pc56pZ0NopfKoedhcIwKmnWj8fONC44TioYXo7d07tNraDQgFKJat/U71hd6eeajUcb8TlmtqG4/XCJxl6J4QQQgghJHwSQrSVeuFTNu+tWCaVT2N7+mno6rICAFMk0t7hE6hAyXTokApa6g27A1i+XDUoL5WmbhvbgRk2RSLqst6wu+r/x3qms/Jp0SJ1fd++qXs+IYQQQgjRGSR8EkK0lerw6dN/+ATHXPl4xbJiyVVupi3qe/ppWLcONK1yeSSi+vC0i+qeT1AZPum6GrbVqPJp+XIVeMz2oV1m+FSv8sm87q3MaOuazp5PZvAp4ZMQQgghhJDwSQjRVlwucDutso7BxDzimUjNevmcpE+jMcOnau1W+VTd8wkqwydQQ+9Gq3yC2T/0zgyYQiF1OdHKp6kKoOzh07x5ahjg3r1T81xCCCGEEKJzSPgkhGg7fm9uzHXy2fw0bElnSqVUJdDhh9feFg6r26ey+qUVYw27AzVz32iVTzB3wiefDzye+j2fmg2f7rlHhUOPPz72+q2yh09Op5q98OGHJ/95hBBCCCFEZ5HwSQjRdvzh0Jjr5HMSPjUyMqIue3pqbzN7BrXL0Lt64ZPZK8hULErlk31onddbv/KpmWF39hDvzjsnb/tMZvjkMeYEOPts+Oc/p7bJebt761tVGPfHP870lgghhBBCzBwJn4QQbcfvV72K/J5UzW0hn0pN8tk2Kd1pQ+awukjtaMW2DJ+qez45nfDd78Jvf2stK4cmh+6DQ/eWl3d1qd9pLoVPHg/8/veqgsl+W7OVT6apeA+YoZj5PM95jnqeRx6Z/OfqFPfeqyoNH310prdECCGEEGLmSPgkhGg7fr/653XXDr+L+FWyIuFTY6OFT2bD6qns+/Tggyo8vP/+sdet1/MJ4B3vgHPOsX4uVz7dfDrcfEbFusuXz63wyeuFHTvgzDPVslaG3dkryKYifMrnVfBkNro3X8O//GXyn6tTmNVg9qGSQgghhBBzjYRPQoi2Ewiofx5X7dC6Lr8aU5bPSfjUSDl8CiRhsDIBMgOpqQyffvITdXn99WOvW2/Ynam727reqOcTzL3wyRzSZjLDp+rl9dj/HxOJxutdfDG8/e2tbSOooMXttn5etAjOOquyim2uMV8fCZ+EEEIIMZdJ+CSEaDtm5VO98CnsN4bdSfjUkFnREhn+DdxyFuStlGE6wqctW9TloUOjr1csqrCiUfjkdKphdWCEJnr9GQ7neviUzarlZrXRaJoJn3QdrrsOrrmm9e2sDp8ALrkEHnsMdu9u/fFmA/O1k/BJCCGEEHOZhE9CiLYzWvjkdqsAIifD7hoyg6Wwex+U8pDcXr7NHHY3VT2fSiW46y51/cknR1/XPBiv7vlk19urLp1OIDtYd53ly1XQlaptETZr2MMn+0yFpdLo1WPVmun5NJGQqF74dMop6nIqZtfrBBI+CSGEEEJI+CSEaEPLl8OyZeBx14ZPmkMdPeezTU6fNXAL5Nuku/Y0KQ+78x5UVxJW+GRWPu3aNflhzXXXqeFa5vOPFT6l0+pytOAkGFSXixYB6b1111m2TF3u2tX8tnYae/iUTFrLh4dV+NTMTHfQXM8ne2Ps0Ybm1VMvfFq/Xl2O9X6Yrcxhd7naFnZCCCGEEHOGhE9CiLbzjW+oack9rtrqJofxqZXPNRE+JXfB7c+He984qdvX7srhk8cMn7aVb+vuVsOz3v9+WL264Ui2cbn4YqvP0xlnqGqkkZHG6zfTKHvTJnV57rk0DJ/M3lDtMoPfVLCHT/bQcP9+ddt4Kp8aBUv28KnVQK9e+NTbq8LDuRg+6bpUPgkhhBBCgIRPQog25PdDKAQed73wSTW2yeebCJ/yRgoz8tRkbl7bi8VUXyCvNqwWVFU+XX+96sOzb9/4q5/+3/+Dv/+98e3HH68uB+uPlOOGG+CHP1TXRwtOzGqR5xx1N8Q3WzeUrPeGWfVjhlmz0Wjh02QPu7v7but6q7206oVPoKqfnniitceaDQoFK+CV8EkIIYQQc5mET0KItlWv8qlnUT/Q5LA73VhHm1sfdbGYMbyuYKQLtsongBe+EM47T10fT7VQsQif+hQ897nqccweROYQOYBjj1WXjcKnF70IPvEJdd0cCljPL38J//meJN33nwUPvse2EenyVTN4mc0H9/bwqWh76+/dO/7wqV7T+UIB/vEP9R4BuOAC2Latdr1GGoVPq1bNzYbj9kB0Nr8/hRBCCCHGMreOyIQQHaW68ukrn93Pu9+qhpLl990Hv9AgF61737vvhp9eG+aqG97P7sHFU72pbSU2UiLi2AYH7lALbA3HTRNpPG6vvLntNitgMpuDg9XnZ6wZ7wAW9MYrqrPsXv1q+PLn6iRYBavx0VyrfLJ73evgT38avWm7nT18GhmBr3xFzURneugh9Z547WutZXfc0fx25nMlPJkNcOu5cMPR5dc16C9U9KqySyTg4MHmn6OT2AMnCZ+EEEIIMZe5xl5FCCFmRnXl0/vek+LeO41hd1t/DccB0ceh/9k19z3rLIBVwFU4g1fxvsunfHPbRjxWIOK3NVtKbFdjfzStvGgi4ZMZIpx2Gtx3n/WzvYJp4UJ12ajyyW7BM2+F3b+GS3PgqFM2U6yTKhWtBGyuVT6ZvvENiEZVtdJzn9vc49gbjg8Nqd5fb387fO97atm//qUun/McFQr19Fh9t5qRyxZwa0nYf7ta8M9Xw1EfIrhjA8nkR9B1h/1tCKhtf+CBye0/1i4kfBJCCCGEUCR8EkK0LY+7amidw4vbo46e80UjpGhiSF0iHRxzndkkFtMJ+4xUSXOooCZzAPwLyutMRuVTvxoBWW5cba886utTl01VPpVuUVcO/hMW1ElRbEPsyqTyiSuuqAyTmuGq861vbzD+2GOqgm3JEpVVrl7dWviUz5VwO41ZKpe/Gnb+Cu6/gqD3rZRKjrrN0R94QF3u3QuLZ1mRooRPQgghhBCKDLsTQrQtl6tUucBZJ3yiqoyijkRmboVPw8MQ8RsNfcJr1WVV3yczfGo049lozEonM3wyfzZ7CL3iFWoGOodj7MqnYBCCS40GUbuvq7+SPXwyK6MKc7PyyeOxlrUaPEH98Onxx6Fk/Kk9+igcd5xVJHf44bB5c+19GsnnSrhdeTjxK3D6j8DXD9lDBL3qTdJo6B2oKrrZRno+CSGEEEIoEj4JIdpYVbBkq3zKFTx11q9vLoVPxSJs2uJmzcItakH3ceqyqu9TKKQuJ7PyKR6HD30IfvMbFTz19o5d+bRgAYAx3ireoMTGHj4FVxrLrPBprlQ+eTwqFLr5Zvj858f3OGb41NtrBZCplGoqXiyqGenMZvEAa9fChg3wkpfArbeO/fj5vFH5FFwBLj+c+DUAgiH1d1sdPpVs+fK9947vd2pn9oo1CZ+EEEIIMZdJ+CSEaFt69UeU04fba1Q+FdzltcaSzDbZjXkW2LYN0mkHxy4zukh3H6MuG1Q+TaTnk73yKZdT4Y/5uKCG3o1V+bRgAZA3NqJB83gK9vBphbHMSjHmSuWTGbKdfz7813+N73HMailNU33Rli1TPz/9tJqNLpWymsUDvOxlcMIJcNNNcO21Yz9+Pq+r8MkZUAtWXgov2Upw2UlAbfhkbzT+5JPj+53amfmejISL5HIzuy1CCCGEEDNJwichRNvS9aqPKIcLt1uVbvz87svQLtM51MQsWYl0YAq2rj09/ri6PGaZccU3X1ULDT1Usd5k93wyHyfi3FFeb9481UOoVDV6EqwQZMECoGCUTuWG6z9hvcqnwtyrfKqe6W48zMonh0NVqN18s/p53z7VcwlUvyfTWWep4XBLlzYX7uXzGOGTLfANHUYwqELi6vBp1y51qWmwvf6Ehx3NfE92ObeRzc7CjupCCCGEEE2S8EkI0bZqKp8At1cdPf/1sQsA2Ly1zuxoVRKZuRU+aZrO+qVGGUkpD4ueD/v+BkWr9GIiw+7qVT6ZjxN+5lPl9RYvho0b4VOfooYZPi1ZglX5lI/Wf8JincqnOsPu5krl00SY4ZOmqffAqlXq5/37VQAFsGhR7f2aGTam63Bo0InPnakMn4BgQCWQyURlEmmGT2efsodnnpl9M96VK5/8MbLp/MxujBBCCCHEDJLwSQjRtuqFTx5vZcdkl2PssSyJ9NwZdrdzJyxekCbgNQKbQgoWXQiFOBy6u7yeywV+/+RVPpnNxiP+WDlB+PrX1bLduyvvXyqpYXrnnw8f/jC2yqdo5YrDj8E/XwX5mLWszrA7hwPcbql8akZ1w3GvVzWH378fBgbUsoULa+83VviUSsG73w079wS4+KQ/qX5PNkGj7VoyXjmDZTl8WvIDUik4cKCFX6YDVIRPszgcFUIIIYQYi4RPQoi2VTPsDqvyqbxOqTDm4yTSvjHXmS0GB6Gv25bCLDof+p+trg89ULFuODz5lU8RfwyK6vkXLoTDDqOm140ZEp13HixZXFJBkuZUFU5F2xH6refAzt/AyFPWsp4T1KVt2B3M/obOU1H5ZFqwwKp8cjis19VurP/f3/wGvv1t6OvJ8OozfmX1fDKUh90lKqt/tm2DoDfBqYf9C5h9Q+8yKVXp1RUYIZsfx/SEQgghhBCzhIRPQoj2pWk1i6rDp0y6TkMh1EG0KZmZhKP2DjE0BL0RI5i5ZD/0HA/ePvAvgugTFeuGw9ZMda0wK5/CYdXsO5m0Kp/CvjhkD4KuXpd6oYUZPvn9GCGSDgGj87W9+snsAZU1Gnu9IgpdR6nrhcrUzOeT8KkZ9objJnv4NH++tY7dWOGT2S9q082/wuPK1w67C6onTCYqK5+2b4fD+rexqn97+efZJGv8sUT8MQoFZ93+Z0IIIYQQc4GET0KItlW/8slT8XMmU79JjP1AfS4Nu6sIn+zVJ11Hw0hl+BQKTazyye9Xw6kSCXj4YbVsXvgQ/GkFPPheQL0OZuXTbbfB/fdb4ZPPhzXkzgyfzL5P/3yV9YRpYzyYOwyaA8Jr4ekvw8jT5VW83tk97C6VsoauTUSjyqd9+9Swu3r9nmDs8OngQbV9vSEjMGww7O6hhzVOOUW9T0FVPh3Wv40lPXsAq+/UbJFNqeGvEb9KZ2dzQCqEEEIIMRoJn4QQbcvs+fSZV36UjVetBcDlrmww3qjyqSJ8mkMNx1X4ZAQ69uqTrqNh6EHIWE11xjvsLpVSwZPDoQKsb38bPvpReNEJf2bNwq1qpU3fAMDjsQ64zzsPTj21Knwym42XK5+M8GLnb6wnzOwDh1cFTwDPuV41HB+4ubzKbK98SiSsJvET0Sh82rQJbryxfr8nGDvcO3hQVU2Vm8PXVD6p1+4b3wnxwANqlj1dN8KnhbsJ+9X7YGSktd9nYADuvVf9M6uv2omET0IIIYQQioRPQoi2paOOkE9Y+TBrF20GQHO6cTmtvjGNDojt4VMy4591s2jVo+tG+BSOqbDGYRs/1XuSurzh6HK/pIn0fDIrWczhjfPmwTVvfVvNuqMNu6uofAraht2VjKFZh71ZXaYHKsOM8BrwzofoYxXP8/TTsGNH679PJ5jK8Mns8VQsqh5d9TRT+WSFT5p6/9n4A5W7G319qrl4KgWHzd+C01EiHEi3FD7pOpx2Gpxxhvp35pnN33e6ZFLqzd5S+GRvsC+EEEIIMUvMSPikadp/aJr2hKZpT2qa9l5j2fGapt2radojmqY9oGnaqbb1P6xp2hZN0zZqmvYC2/KTNE173Ljt65pWp0GMEKKD1fmT1jTctvApna6fKtln9dJ1B+n0ZG9b+0mn1cFtb3gEXFXVXitfAyd/S/VP2vYjYGLhU8B4+J071eV3vgMLu/fXrOvxqGF39v//yvCpuvIpalXP+I0xYIVE5TAuTYPuYyH6eHmRzwcPPQRvf3vrv08nsAd+E1Gv59MrX6n+3266Cb74xfr3ayZ8mjcP9do5/TX92hxuDwGvNUNhOm3NdLe8dxsA3aEE0Wjzv8veveox/v3f4ZKLBjl0cOzJB6ZbNqXGnEYC6ndPpaBQUDM+1u1vNfI0/KYLtv1kGrdSCCGEEGLqTXv4pGna0cDbgFOB44AXaZp2OPBF4P/pun488AnjZzRNOwq4FFgPXAB8W9M083T+d4C3A4cb/y6Yvt9ECDHVzGF3GpUBk8dlTZ+WydTPnAtVx6Hjaazdacw+Or2haM1sY2gOOPwK1bB783fgb88l7E+Oe9idGYQUjSKlY4+tv64ZWuy35VKVw+7Mnk9L1WV+WA2pA/AtsO5UNYyL7mNUDyujSsqsdDMDjdlmKiufjjwSvvc9eMELGgdcTVc+FVI1/Z4AcHjwu60EMp2mHDT1htQbtysQb6nyyewz9qrzH+EI5/fasudXNq3+08IRtdty1FGwciVcdZWqMtuwoeoOZl+2PddN30YKIYQQQkyDmah8Wgfcq+t6Stf1AnAH8DJAByLGOl2A2b3hYuCXuq5ndV3fDmwBTtU0bREQ0XX9Hl3XdeCnwEun8fcQQkwxs+G4plWGT/Mjg+XrjQ4485Uzus+x8GkIXHVSBE2DyDoYeRIO/J1w+o5x/b/YK59Mq1cVa1fU9XLl08CAtdicGU/NdmekX8GV4I7A4APlYYG4w2oZ1AmfjlVVNgnVY8oMnw4cYFaayvCpGaOFT7peNeyu+rUCcHgZTMwr/5hKWeFTd0Bd6Q6OtFT59PDD6vc4bvE/8bkzFEuuchjaLjKpAl53Bq+R6mUysGcP3Hmnun3jxup7SAG3EEIIIWanmQifngDO1jStT9O0APBCYBnwXuBLmqbtAq4CPmysvwSwn8vebSxbYlyvXi6EmCW+/P4bOWvtP3n2c3zwLKsB9fL5VmfhTLb+wVo+p9KnZX1qXNh4KnxqbP0B3Hwm7PztJDzY5CuHT8HB2mF3puDK8tWwvolEgpb6Yd18s2pMbVbIfOhD8KxngVOvk2L942V4vTrZbGX4tEdNbIYv+3Q5PMLTA0tfCs/8HOKqvxdOP7i7rOt2PUaplTH0zpzCfmiotuqt0xUKKvhp1/AplVKhihU+1XnvOTx84KIvccXzvg2oyqfhQyo57g5EwRWiyx9tqfLpiSdU9VDYsQOvW21ctsHslzMlmyngdWXx+n0Vy82/n4rfd+Bm2K0qngp5jX//d9XH6v77p2ljhRBCCCGmkGvsVSaXrutPa5r2BeAWIAE8ChSAK4D36br+O03TXgX8AHge9U8D6qMsr6Fp2ttRw/NYvnz5hH8HIcT0OPrwQf75yWfDcdfDkovKy5f3W+Ut6XSj8EnnXed/kwuftYUXffKrxKJFwFl33aboOjz+KUjthqe/BMtfMf7HmiJm+NQXPFA/AICK8Cnk3Iuuq0qmZoONv/xFXb7lLeryC18wbkjVCZ92/wmvK0Mu52ffPtti47SB77F3wqH71A/uMBz2Jtj+U7j9+WqZMwCebkjtqg2fIkepoYTRx2D5y8vVVLoOg4NqBrfZImm0SpqMnk+ucX7rjxY+HTyoLsvD7upWPnn40ms/RCwV5jt/+zfe9S4AFch0B6MQWE6Xf5gNLcxYNzRkPGdqLz63qqrKpAsEgu7R7ziN9u730991CK+v8lyfx6Mu7cNEP/mue/jGzV8lW/gOhZIHIz/nllvglFOmaYOFEEIIIabIjDQc13X9B7qun6jr+tnAELAZeAPwe2OV36B6QoGqaFpmu/tS1JC83cb16uX1nu9/dV0/Wdf1k+fPnz95v4gQYmo5zDKNyiPmxfOs2aAy2aqPsYc/BPtuI19w0tUbYMGRJwAQHZ5AOYyuw9NXqeAptBoG/wXpfWPfb5ptNYqIlvbsbFz5FFpZvmpOb99KVVgqBQsXwuWXV92Qr/8gHme6ceUTA1AyEg1XCBacA2veaa3oCjSufHL5Iby2PONdzDZB2GwbemcOjZyMyqd6DcebYYZP9arkzKFyPT2MMuxOpS1+T2Xnf6ejQNCbhMAyuv2HiA6m4A+Lm9qmeBwiESC9F6/LqHxKNTOd3PTZuGM+RyzZTiRcOR7Q/Huwh083Pnoh3YEoV5z3Hf7j5ddz7bUqcDx0aBo3WAghhBBiiszUbHf9xuVy4BLgWlRw9BxjlXNRgRTAdcClmqZ5NU1bhWos/i9d1weAuKZppxuz3F0O/Gkafw0hxFQzQydHZSVDT7fV0KkifCrm4Okvod96HsWSE7fHSU+3Go81PDSB8OnQvfDIh9T1U9SwIQ7cMf7HmyIPPwzLl+v0up6yeiVVC64oXw37Wg+f0mmjV1O1QlXl05p3AOB1pshmYdMm66Zy+GQ2oHZ4rde490RrRfuwu3pNrLvWw8hTQOXwpdkWPpmVTzM97A5qe6mB9f6JRFDhU73XyqnCJ7ergNNh/S32BIfVtgSW0OU7xEjcjZ4aaGosaCymZmwkvRefWw3hy6Ryo99pGpVKsHlXP0cs3cEZx+3muisv53vfU7dt2aIu7eHTnuElPPeo27nqsg/yxXf+mEsvhb4+VcknhBBCCNHpZiR8An6nadpTwJ+Bd+m6PoyaAe/LmqY9CnwOY5icrutPAr8GngJuMtY3TyFeAXwf1YR8K3DjtP4WQoipZVY+OSorn3q6rSqCTMb2MZZR1UgFXVX9uL0uenrUQezw0AQ6ESefUZfn3KgadgPkYw1XnykPP1Tk+GUPqGFqKy6tv5I57M63cFzhUypV22wcsBqHm9a+CwCPI0k2C3fcAc8xTi+Uh90ZgQFuW6piD81cAfD0quve/trn9M6H3DAwNyqfgkEgNwLbf1ae5a9M12H7/0EhXXN/u4mGT/WG3pn/9+Ewo/Z8Mtmrn9zOPBz3OehaT3cgSqHoJpUNgD52WFxR+eRTv1A23T7h0+7dkM56Wbt0N5rLz4tPvI5lRh33jh3qcqdqSUexCPuiC1ncYxZwq88tCZ+EEEIIMVtMe88nAF3Xn11n2T+Bkxqs/1ngs3WWPwAcPekbKIRoD1r9YXfPOdkqF6iofEqrA7e8ayEAbo+Lri51MDo8VBr/dqSNMTLzToOSUfpRnNnhPSMj8KUvWcN3dB02bdZ49fobILQGlr6s/h3dYXhlDHb9jvCDPwVamwmwYeVTvupBvGqIs9eZIJlU1Tsf+xjcey88pkbKWSGEyx4+dVnXnQE45hOw+AJYenGd3yVSDgHtFTmzNXwKhYCdv4Z/vR32XAfP+rW10p4/wz2XQ2wjHPeZho81rvApH8Pr8gA+slkjZLIxw6dIBNgXhfDhtY9RFT4lMupB0vkgrP8wbLmGroAqjxtJdxEspmsqHqvF4xAO5qCQwBdSoWUmVac0a4aY1X5rl+4FVw8UM/T1Va6zbZuqkDpwAEq60wqfjMqvefNk2J0QQgghZoeZqnwSQoixNQif1hyWo/QzjSMWbSCdtd2WUuO58k4jfPK6cbo9RPwjRKMTmAUrM6CGhrm71SVYvYpmyBveAP/zP2r2uZtvVk2JVy4a5KKT74QXb6qpFqvgDoMzMMmVT9XhkzrK9jqsBz/nHLj6anU9HCpalU8uW5pRXfkUXgMrXwuuOt22PV3qdShmec1r1CKnc5aHT2bF3e6qUeaJberSqARrpOmeTxu/Dlt/BAO3wG+68G77ElC/8qk87C6sQ3oP+OtMPGsLn8qvO5DOGUmmK0xXQI2dHE6qoGY0um5UPhl9y7zhHrV9mfaZ6vCWW8DlLHDcmh3g8EEpS2+PFYIHvQlSKdi+HfbsVCH54m5b68r9f6fPvYHBQ0aVm67D9p9Dcud0/hpCCCGEEJNCwichRPtqMOwOVwhNUwexmaxtBjuz8smpqm7cXjc4vfQEhxke/Zh8dOl94F+ojtidbRA+xTby9GNRXn5JkV27KP/b+oOXcMopenNlLU7vuBqON6x8KlYN93K4wdODR7PGw/X3wxVXqGqPTXfdg8tpHFQ3rHyq90Q2LiOoysf46U9VBU53NxN7rdtQxWx3uaj6QauaudEMnTw9oz5WU5VPug4P/gfc92bY/hMAvDnVzX7UYXfeYRUaBZbWrmQLn3TdevJs3ljujrBu8dMA3LfltDHDp1RKVQyZAaovon7vdql8Khbh5z+HC0+5l96efLkPVm+X9Xuds+7vgKoE3LsrBcCSXqMhGjrc83r68n/j0EHjd4o+Dve8Dv60AgpJVX257cdN9ccSQgghhJhpEj4JIdpXg8onnGqKdhU+GbeViurgDMgX1e1urxtcIboD0YkPu/MtUtfNg+iZHHb39JcZHszRW7hT/ZxPwNDDMPI4dB/b3GM4fIS8qqRmUiqfzLDg9J/AeX9X173z8Tqi5VUiRla0ahUs7LU1snE3qHyq1zvIzmMEVfkRXC41HKynZ/aFT5WVT0Zn9WKmMnQw+p2hj/4+byp8im+xrh+4A/rPwetRAUijyidNg6BmNPMKjF75VCjVqcpzhzl2+WMs69vJ1//6HmLDo/duKgdevihgq3xKt0fl0w03qMb6l5/7Z/V5ZQSpXSErfHr2kf9A03QVPu02Kp/MYXelLGQHmRc+RDTmo1AACnEOxuaRzvm4/+4Y9994D/f//Fvcf+sGHnywfjN4IYQQQoh2IeGTEKJ9Nap8Mg7kfB5b+LTxath6DQD5tEpT3F4vRI5UlU9DE2hEnBkg41hOLAaxuIN0ITyjlU96qcBwsocep6oU4R+XwE0nqmoI+2xxo3H6pqbyadlLYYHRWdzXj4doeRWzaTVQ2bDdXvnksVc++UbfGLdV+WSaLeHTT38Kr3ylul43fEKvfA8mnlGX+eioj9tU+HTobut6ajcsfwVeI3HMZuGTn4Sjj4bTT4e9e61Z5xxZo2rHP3rlU75g9XI65zlGWOSOoGlw8Ul/4tGdx3PZW+eP+nuUh/p5hwDwdc0ztq89wqevfhWWL4eXnvZXI3xS72UnaVXBBqzu38qaFXEef6zAvgG13f0RY8xoPgHFNH0hFdIOD8Mjj7rov+Ig/Vcc4NTnLOLUF5/DqZ+4n1PPX8fJJ8OXvzzdv6UQQgghRPMkfBJCtK9GlU/GEBa/O00mZ9w2+K/yzfmUOlp3ebwQXEFPOEF0ePyVTxu3BIm88Od0dUFXF4TeOMzt9y0b9+NNVCpRoFB00+3eAfv+BvtugbXvhnP+Aite09yDOL2EfOOrfBo1fLIPlfPOw6tZSVBF4GEPn+yVT/Ygaqzhg7M4fHrDG+C3v1XX6w67AyikrOvJ7epy701q1rsGHM186w89UPlz36kVs939+Mewfz/cdx/cc48VPpFqrfLp6nd9nz9fb/z9Gq/7Z1/5URZ2D7Bpi6fmIeziA+r3DXtUN25vRIVVmdQEZrWcJMUi3HWXCg9dJFWfOPPv4tA9/OvaH/HXz/8XF5/0J46ZfwuP3bOT6FCRsC9mDUU1KtnM8OnQIXhqgwrtEpkwR69Lc/13fs/1H7iI63/4D0IhFQQKIYQQQrQrCZ+EEO2r92ToP7u2h4yt8imdNaoo9BL4FkDXevJpFaq4vV7QNLp7HAyPjD5zVkPFLI9uXUm+4OK//ktVfZR0J5t3dI/zl5q44aj66O4JDsNTXwQ0OO6zsPhCcI5+0F7m9OF0lAgGCoyMjL26KZ02ht1lh+DW8+AfL4dSQQ0D0xyVQaGnG6/W4MHztsSrInBq4WvJ7A9163Nhzw2ACp+i0eYfohMkEio08vmwVT5R2WfLaLZPcrua9a4Bc6TeqCFUbEPlz5F1eL3qjqmUGk5mVmXt2GE0/o5ghE8a+BfVPqZt5rp8UV0/Yd0+Vc0FqqcaEFn3Yi49/ZfsGfCM2soodu8X1PrFh8AVwhcyKrMyMx8+7d4NuRysXQuUMhXD7rj7Mo6Kv5nnL/sibleBY5c9xpZ9KxkYKNEdjFoPklavZ3+XqoTavx8cWNWbRx2e4KIzHuaiE/7CRc/eQE9PayGyEEIIIcR0k/BJCNG+utfD8+5Qs57Z+RaoC3eGTM4IW7IHIXIE+BeTz6qDNLdPDXXp6fMyHK8zW1ozMvvYNaiqnK68Et73PrU4mXSOcqepNRxVAU9PcFhVPfkXVvZKaoZD/d8sWZBiz54x1rUpVz4N/gv23wa7fg+J7SoIcforq5Xc3Xi0KFA15A4aVz61wv473/cWYPZUPpnyeRU+hULGf609fDIrn0pFKKbq3r9aySgAHLWoLLYJAsutn92h8uu3fbuq7Dn+eLVNO3aoyicVPu1U70VHnaDX9oSFonr/RiK2jXAF4bU6rH03S3t3k0w5y32d6olnVPAYzt4Dvn68fvU5kMnMfPPtLUbLrDVrUKGsbdgdpcrhv8cufwxdd3D3v4J0+W2vbUk1cFraq6rJdu+G4WHr/2vJgqQ1xDI3TDgs4ZMQQggh2puET0KIzrPwfDj9x/jC3aSzRviUOQDefnB4ypUVbp+qNgiGXKSyQfTSOA5M0wPsGlpGKFigq4tyv5ZEqk7T5GkSjRnhU9jo+VOvx85YjFn7li9OsLPJmduLRVXREQhgDbECSGy1wic7T3e54XhN+FRoUPnUCvvMeJn9gBU+zZYJwFIpNeyuXCGUi1qN2M3Kp0Ji8p6wkFIh0oJzKhZ7jT+zTZvU5YoV6t/OnSr0CIeB2EYIHzHmUxRLKrgNR+oEuE5feca33btrbzbFCosBiLj3gnc+voD6m2+HyqetamJAK3xy+Cqb5/utYYnHLFOTJOw+OI+uQG2V4LLeXYCazXJwyNplW7Igbg3BzEUlfBJCCCFE25PwSQjReTQNDnsDXeE8I0kjDcoeBN98EpkI6ZwKQczwyedTSURuPM2I0wPsPLScZUvyaJpq2Oxx5UjOYPg0PKKSgO5+I3wJjqP/lFGJsXxRrOnwKWNM1OX3A6ld1g2JrUaFR1X45O7G41SVHr7q3uEVDccnofIJIDdCTw8UClafpE6XTqvKJzP0JD9iDWvLHoRHP1YO3iqU6k99Zg63qztjIVgz3fUbTeO9qpG316eqbjZvVouXL1f/rMonXQ3XizQTPhmVT10NwqceFT6NVpEXT6n3WtgXV7Mq+lW62S6VT14vLF2Kagrv9MG80+CI98Kx/w0Lzi2vu6p/Ow5NBWb1wqegL0VPOMHu3TA4bH3mLJk/YoVPeRU+jVYpJoQQQggx02bu6EkIISaorztFPB0ilyngyQ6Ct5/whd9mUbfqvGsOu/OZzZJTWbz+1no/Xfym47nugVU8/3nWzGJBX5pkegbDp5gxnHDhPCgAgQmETwujDAyoRtI11UlVUsbIrnLlk2+hCkPiZuVTVcLk6cLrVv9vtcPubGUa7qrKp/nPqhxe1vB3qHrQ2EZ6ek4FVPVTaJwFVe0klbKG3aHr6v+la70K/DZ/Ww17jG+qvWMhCZ7umsXr1sHHPw5veUuDJ0wY4VPP8XDyN1WVIeD1qvDpoYfUzcuXq8qnu+8GtxtOPiELuWGIHNn07xbuqtOfzOkvDzUbNXwy3j5hXxz8C/EF1WNl2yR8OuwwcFBUIaDTq4YVnnS1WuHh/yqv63SUmNcd48BwD13hOjNyenpZOn+QXbtCdGF9di2ZP2wbdqfCp4GBKfylhBBCCCEmSCqfhBAdq69LpSGDe4c5FO/j9keOB2AgqobkmOGTWbWRSdWvBhnNdbeuAqBQsg6Ug74MyfQ4G5hPgnL4NN8oh/H0tf4gDhXcrFioZtNqdKC/ZQt88IOqV1DaGOVVrnwKLofQYY2H3bm78bjUAXVN+JTaqRrKB5ZD97GVt53/D3jhY63/TrkhurvV1dnS9ymdtg27KyRUY/3qht77bq29Y6F+DyhNg09/WgVHdeWM/zjvPFj7LoisBaC/L4Pfm+aZZ9R9g0E45hgYGVEzsS3vV42xm6l8et1ZajY+X6jOtIlOH4t7VHg86rC7uBOHo0jgjM/B0R9TkwugQtSZtmWLMeSuZGxMdShrNFc3LVykguzuNWfWPph/Icv6D6phd8PWH9GSeYdk2J0QQgghOoqET0KIjtXXrcaBDe4b5vz/uYVz3/DSitvdRqMac8hXJl2nsmAM4YBKXI47zmr2O9PhUzSuxkx1dRkf4aVxHHEb4dPyBSp8ajT07rLL4Kqr4PHH61Q+BZZCaLUKnwoNej65bJVPegnufh0cuFP1B5p3Jrx0B/Sd0vr2m3z90H2Mup4boqdHXe308MltvL3MyqdgENhyjVroM8Inc7hdbqj2AZpsQF4jZ1Sc2ftpAb09efb/5Ew2bYIHHlDLrrhC9TfavBk++Q4jAAuvHfMpfvSONxG9pgutuuINwOnD687h8xZIjNLKKp5wEg5k0Nb9BwRXoLl8+Nzp8tDQmaLr6v9k9WrUUFQoN/cv8/RU/Lhgkfqc6uqr8//hCrNs/n4VPkW9rF/6BP/z6itZtWifVR2Yl/BJCCHEJElss05EjaZUVPt1QrRAwichRMea16uCjcF9CR7ZcULN7W6v6injMyqfsunWez7N6xrhrKMe5nOfs5aFAlkSqTHGqE2hA9FuusNpnEf9Oyy6QFWotMrhBIebBT0quDhwoMFqxrdEImGrfNr8CYg9rYb7hVarHZW6lU9dOBxqx8TrRVVqPPNz+NtzVBVPE1UyY7pkP5xrBB/ZIbqMzKTTD8Q9RqGdNexOh4c/oBbOO824sapc7aSvWdcL42x6Zfbiqm4C7/QR9g5x+OEwT7WBUq3XDlNVPo6M0QMsMErz+2Uvh6M/jstZpCsQq9/ry3gP+bz5UYOkWNJDJGgLXR0uvO7sjFc+7dunXrNRK5+q/k4iXSpp7OquGsobWA5OL8et2sTgIPzrieUcu+Jprrz4S2jFVEXlUySi3vOzpdG+EEKIabbl+/ALDa5bDb/tVft2o7nlWXD7hfLFI1oi4ZMQomP19apgY3CwhMtZO6TOrB4x+9VkUq2HT7mcxhErDlQ0zA76siQzMxQ+lfI8uuMYjl6jGqzz3Btrh2E1y+HF71LlJY0O9M1G18mkrfIpdS8segGseC2EV6vgKflM3cqnXMGoPnOOwOOfqry9hf5AozIrSXKDVpXbDFfATJQ5TLE87M6XAnQ45buw4LnGjXsr77ToQjjnJnW9ethds2cn8zEVPDmqmoE7vKNX2KX3gHd+bR8uu2f/Fo79tPVzvconh3q/eN2FxkGSrhNPegkHK//mfe4smazW4E7TY4vRMqs80x3Uhk/BlRU/+vxqV6yr21ZNeeT74fl3gcPL6865nojRW78vElMz5+Vj1oyRRuVTodAeww6FEEJ0oOp9tB2/arxuegAG74V9N8PAX6d0s8TsIuGTEKJj9fWpsy2DQw6cjtop1s3wyRdQB9KZcVQ+ZfPumn5FQX+eZKZ6+rbpUcyleWTn8Zy4/tDEH8zpw+dWIYVZ1VTNbNodjdoqnyIReO5NMO9UVfkEqgdUTcPxboJeVYFzdPiXsOkblbdPRuUTgMOlhok9/il8mz4FdH74VF35FHQbJfDhNSp8AChVDSN1h8Fl3Fa0VT5Fn4RrnbD3prGfOD9SM+QOUK9tcZT/1NQeCCwZ+/HtqqurQJVTOX34PKNUPhUSxFJhIuHKv3mvO0e2HcMnR9UHyLzT4Hl3wIs2wLm3qh5qgOa07ZKdeJWqInN4CfuG+fa34dXn3cvrn/tn9RqbwaPDW+75BJ1f8SeEEGJ83vUueO97J/AA1ZPXHLxbVapff6SqiDJnwwXYd5t1feSpCTypmGtktjshRMfq61MHa4cO6aOHT+awu8x4w6fKA9qgP88z6Qj84xXqy9qcxWoabN6QIZXt58SjoxN/MKcPv0sdrY5V+TQwAG99q7ru99v+P8zwCWorn1wRTlj5CNd/9RrO6/qPytvc3eBfPP5tr+bphfwIvj3fBz41a8KndNoYduc2wsbwGitgqmYPn+yVT/uNncTdf4DFF4z+xPkYuCO1y8eqfErtbn3WxXrD7gCcfrxuI3wqFUEvgtM2M14uSjwTJrygsprL58mRyc7MObV9+8DpVOGTywUrFhyEPbeoG6tDWYD+s9Vl5IhytV42i5rpceXrrPWc6v/9ssvgshVfgegmKAYgtkHd3rUehh8yqsDcxOMwf/5U/ZZCCCHajl6CoQf5191Horn8jPvw3qhc3rh3LVt5G/27buTkZXdatx+4U+2DABy8U1Uql3Kgt75vLeYuqXwSQnSsQNiH35NicBCcWuPwyeszKp9SteuMJVeoEz4F8iSzPtX3KLax9Q0fp2IR3vVeVS1y2omxiT+gw4vPCJ8aVT6Z4dPdd6uqilWLBjh6zT7bCitAM75KXFXhk8MJrjAXrfwcPk9VcNFzvKpymSxG6OLzqNSp04cfmeHTyAjkchBy7Vc7ev6l4HCDZgyLC62x7uQMgNN4wezhk9nHqbrxdT352OiVT416O6THUflUb9id8Vw+T069hg9/AG4/v2objfCpKrvyuvNkZyh8WrQI+vtVs/EVK8D1t5PgQSNwrRc+2Zx3nro87jjUTI+Hv8O60eFVr2U+bjT196n3+sgT6vbekwAI+9XrHZuEjwUhhBAdZN/f4K+nkjn0DEN7GzTwHM3wY6qqKT0AwNn/fScXffADnHLlrewdtrV1sFfxJrarkx8ApdZnkhZzl4RPQojO5QrSFxpkcHCMYXd+c9hda+GTXtLJ5n14vJX9b4L+Aol0AIrZ2qFPU+iZZ+C2OwJ84mX/jyOPmIQzTU4fvjF6PplZw/33q8tff/Rj+AK2KhSnx6p4qa58AlWNk9xRu7zVKpmxGDOz+NzqF5ktlU+HjIKnkGMvhFZZvZjMoXf2vlmaVn/YXWKrusxHx37i/Ej9yiezl1O9ncxiBrKHwN/qsLsGlU8ONeNdJoN67ww9WBl65aLE0hEiXZW7MAFflsQMzkIJqvJpzeqSGoZqGiN8eulLYe9eOOecOjc6vaqf2p/XqhkMnX7rtQfoVRMthH0qRJZhd0IIMccYoVG62MVQrEFl9GhuPA7+fDhk9jE8710ciC3gxGOiABwY6bfWs8+Al9ql9klAKp9ESyR8EkJ0LleIrsAIIzEHLmftl595AG+GT9lsa+FTPquCJa+v8qMyGCiSzAZU8DSN4ZM59fxxKx6tPAAdL6cPrZTB621c+WRWEG3fri5Xz9uoAiU7c+hdvYNsZwCoUy0TnOTwKatSmtkSPpl9xsxZCIOeEXD3WCuYVWb+hZV3dNWpfIpvUpf2QARUoPPox2HwAWtZw2F3xmtbMv5jS7a/N2PHt/WeT8H6y50+fObMdaWcmrkvN2TdnosST4cJRypD4e5ggpFEnQB0itlzsS1bYM2qqj+mMcInUJVTdZlnmjP71Hvc6bdCXu88NSMeEPGPAKpSTgghxBxiVDdnCiGiyQjFQguzz5nf38bjPBNT1bRnnKL2IaKpbut2M3zSdbU/EViuKt+l8km0QMInIUTncgVxO/MUCqW6lU8BI5/x+tT490y6telgs8mEcf+qyqdAiWzeRzFfGL0PziRLDEbV83uTjQ/cW+HwQjGDz9c4rLEPX+vpgR7f3tqKlXL4VOfAv3ooHsBhb4Z1HxzfNjdihIAuZxGnU+/48MlltGw4eFBdhrzxyr5HZvjo6am8o7m8kITMIdj1e9VwHFRfJrtD98CTn4EH32Mty8fAU2/YnRGCFLNqR/OXbrjucPj7iyFjbKR3XnO/3PPugLXvUY3i63H68bqzRs8n4w1oq57Ty5VPlVVOPeEk0bjt/faXY+GBql5jU8A+1G1kBNYsH6pcweFh3OyzB6YHrGF3oP7uPN0ALJmnwtfdVS+xEEKIWc4In9I5P7ruYOTAYPP3PXhXxY/PHFwJwPHHqf3lkZRtf8A8CZSPqn2MwDLQ3BI+iZZI+CSE6FyuEG5nnnyuhMtRW/lkhk++gBk+NTndvCGXUmd+PL7Kg9xQUAVdyZRr+iqftnyf5M2vUs/vTTRuOt0Kpw9KGfz+5sKn1auBQqJ2lrLwKOFTvQqt039QPmieNOfeUr7q9XZ+5VPRyFLL4ZMvVtlvwQwlvH2Vd3T6AE0N0dp4Nfzj5WpHsfckdabSXqaz9Rp1aQ7d2/YT1bvJVW/YnVG9Yw6xA0hsgb3XWxVV1UFYI/1nw8lfa3y7K4CvtJtsbND6+7KFT+lYnJLuJNxdOYtcdzjNcMJ6bz7n/d8g+KzPcc/drf3dt2r//sqf1ywxziSHDlOX+gSe3141lT2o/sayxgFA5Ijy//mingO43WporhBCiDmkEAeHl0xO7asO7d0/xh0s3/q2A8/lWQJvSvK7f13C9n2qDPf4E9VJk2iqG876lervaYZPSeM7P7BUnUSSYXeiBRI+CSE6l9sIn/I6DkflAZ7XncVpFCz5AuoLOZtt7SAwm1Thk1k5ZQoG1QF8Mqmrg+NiBvbfrioT9FL9HkcTtfsPJLLqwDrkS9QfGtUqTw9kh/D5xh52B7B2LWonp+Gwu3rh0zQNg1r4PDjt+wD4fKVZEz6ZwUbQE6+soDnp63DMp2DV5XDBg/D8e9Rys+9TIWU1Gn/Wb9QMasVMZc+GoQeN+xh/KPe+UV02mu0OVCWSWelkajV8Gstxn8PrypJJ56Bohk87yzfHo+rNGumuHM7WHU4TTYTQdSgVS9y54TmkskEevGP75GxXA9Xh0+oFz6grz7kBTvthuSn4uDgqAzacfqvCbP3H1KyRgPPeV7F8cVzCJyGEmGvyMXRXhHRGfZcPDRxq+q73PdRF0JukWHJyz+Yz+Ns9ywiHYeUatb85kupSk5AY+4uA9Z0vlU9iHCR8EkJ0LmcQtytPPg/ZfOVBWsBnpSblYXeZFofdpdRBrtdfWflkhk+JjE8NQ3r8/8Gt58I/Xwm7fgfXrYHU3pZ/nVEV0yQ9qrlw8Ln/q6oeJsq3EDL7R618ymRgwQL4xjfg858rqACjuvJptJ5PZoWWcZA8pYxZ2nze2RM+mb22FnYNVA7BWvR8OOaT4F8EvSfCvNOt21xBVRJfSKom4MtfYVVIVTQM3WM8Wbpy5zFXNWwM6lc+rXqDujSDockKn/qfjS/gVDPX1al8ig2rv+1wV1XPp3CGfMFNOg2D+62eVwd2jWP2nxbYwydNg1XzjB5bocNg9ZsmNqujszp88sEZP4aLnobI4RUVhCvn7+RXv4IPTvKIViGEEG0sHyOn9aHr6rtmeH/zzf+Goxqr+rezuGcvX/7LB7jxliCHHw5dferE4Ui6S33PeHptlU/PqMvgcjX7rlQ+iRZI+CSE6Fzlyic11t0u4LXCJ3N2tlYDiZxRDuTxVfZsiYRVBVU8HVYH7tt/qm6Ib4XYJvVFHHuqtScbSyFJItsNQGjlaZPzmL4FkBvC5yvVrXz6wx9g40Y45hh497th2SKj43l15VP30bD6bar6qJpZ+TQZwwTHYoZPnkLHh08FY1/OfF2W9OxuvneQM6CG3RWS4DaCQjP8M2e8K6StHcliurKaqffE2se0Vz5ljXW71qnL1CSHT4DPq5PJOq3wKWWFT1/40bMAiFQVaPV0qb/5aBT27bH+/vfvndq+bPbwadky8JV2q+ok5wR6PZnqVT75+qHrSOtnw8Kweh2uumriTyuEEKJD5GNkdKvn4tChUXaAhh+xht8XcwyPeOnpLrEgYn2RXXutmi064E0STXYblU+91smr6BNqn8K/WA27k8qn2WnkKdh366Q/rIRPQojOZTQcz+c10vmq8MlW+WSGR9kWA4lsWt3B6688AAwb2UssHYH0XvUvcgRk9lvlyPGtrT3ZWAoJEjkVroRCY6zbLGOmNJ8nXzesueQSGBiwZl4jb8zjXt1w3OGG0/4XwmtqH8Ts+TQdw++M4WI+b+eHT0Vb//xQCCK+wdogohFXSL1WhSQ4jcb0ZhPxXFRdZmwz3BRSajY1gNN/bFU02dWrfAoa0ywnd6pgbBJfY6/XQSbnqql8yuXgB38+G4Cjjqq8T3dYrTs8DPv3Wb3Y9h+Y2l0de/i0Zg3qM8Df4sx/jVS/5tVDIm1VVaVccnKeUwghROfIx0mXbOFTtMFkHkMPwY0nqMlGAJLbGU5209PnYWG32gc48USjxQLQ5R8xKp+6wGurfIo+Bj3H8rWva7ziS9/n6e3zp+o3EzPphvVwW52TyhPU4N0phBAdwKnCp3TOS6FYNTTOFj5pLi9ed4ZMiwUQ2aQRPgUqDwAjRvYSz9hCmPnPhthGdVYJVDPmyZRPkMyq5wtMVhGRbwEAfk+WTKbyd8zbTmT5zNF0BaPyqXrY3Whctsqnc29t7b6tKlc+1Q/TOok9fFq6FDQ913zlkzui+j3pRWtWxHLlk1GObw65A6PyyUhQwmvrDxOzz3ZnVkkFVxiPtVNVPU1keFkVn18jm3fXzHaXNPKVq9/5ddaseU/Ffbq7VLlYNAr7B9T1pX17ODDoU2d6J3H77AYHwelUr9maNajPgYn0ebLTq2bxDB/ecNXPv+o/+e29L6GEG13X6v66V18Nd99t/ex0wkc/qqobhRBCdKB8jEzpsPKPQ9EG+wrpvZWXsU0MJ0+ipz+HU1fh0/Ll1urdgait8qlHhU96CaKPo696A+97H+j6Cznz5GHWXToFv5eYlaTySQjRuRxO3K6SGv5WxeO2HbQ5PPjcGTKZ1g4+c0Za5fVX9jKKdKmPztufei5/fOBitMt0Nhw8Vd049AAAqYM7yU3mRHjFJIlsmEAAHJP1ye0zKp/c6fLwrm9+E/burWxAXlP5VD3sbjT2yqeF58K8Uye2zaPxmOFTruPDp4KthUIohAp9qvv/NGKGT4WEFT6ZvYHMyidz5zOwtDJ88i+o/5iOqsonT481zC6zf1KH3AF4fU4S6SC3PHQ6zxxcoZ6zkCRh5J+hUO3fcnfEFj7tV3//xx2+h/3RPshMXd+naFTtsF9wAVx0YQ6S260ZBCeqmKr8eZTHXT5vF//v5Z+kWNQqJgqw+9zn4NZb4amn4Mkn4Ve/UsNrhRBCdKh8jHTR+g4eGmmwr5AzTj6ZJ6Ey+xhO9tCzoIcFi9QJ3CW2ot2ugFH55PSr/YpSXrWWKMTZlT69PHovL6PuZh+9tR65rZDwSQjR0dxuXX05VnE6bB+cDjc+d4ZstrXwKZtW6ZEnUBk+hSOqaPTqG/+Tl139RwB+9lfVh8asVAi+4Fc861ktPd3o8gkSmdDkDbmD8rA7vztFJqOmaf/3f4dXvrJB+FQwh921sBHmUKzpHHbnznR8+FQswkL18jA8jBp+1nTlUxcUYmrYnflauauG3ZmVT6E1leGTr0H45Kzq+eSdVxlCTnL45POrZuLP//QvOfu//8H2AyspjOyywqdw7e5LT7f62xveH2X/5k14XFkOX5Vi/8gC6/ebAiMj0NMDN94ILzlnkzozPFnhU6E6fKoz0cDpP4FTvg3zziDiVzMcxuP1Hy6Vgje/WQVPTz6pisHkwEEIITpYIUamZAufonUmfwErdDJCqHQsTibvp6fPh/eotwDgt+2qdQeiarY7TbOG8CfVLCiPbltbXi+XbzJOSO2FTd9qbl0xswbvn7KHlvBJCNHRXC5N9V4CfvAD+OonHjKWl6yVNAded5ZMy+GTOiqrqXzqcdesmyr2la+XSup57p+sz+5SAUpZktnA5IZPvn514UqQTlsN2QcGGoVPZsPxVobdmZVP09Bw3BkAzYHPnZ0V4dMJanJDNcyylG2+55M7onYuC0nbsLswoNnOeO5Xj+dfpJqPp/erdc31q1X3fPLOr+z9NdmVT7YZJncNLuOw923nu9/VbeFTbdeA7i4VPv3lp3dx130BFnTtZ8FCB8lsiORwdFK3z25kBLrM/Du2QV1OVeWTpzZo57DL4fAr4LzbCfvVuMRYrHY1XVfhkzlsV9PA42FyKzSFEEJMr3yMdLG7/ONQrMHJvnys4nL4kCqR7enzlKtlPbZzXF1rzmRX4lh+9CP44R9O4O9PPQc9tZe/PvZ8/vWYdaIql2syTrj5dHjg3ZAdbG59MTNim+Bm28RGpWLjdcdBej4JITqa2w26rr74/H7IdS8GwOnvq1jP586SybaWt2czahiP1185pXsgVBsCpPLWgfiu1Ok1t09IQR1QJtIBgg2ygXFx+sDbh885QiZjVUuUSuog1WT1fDIWOlvYiPJsd9NQ+aRpoLnVsLvo1D/dVCoUYOVK+OIX4eKX6PBgvvWeTy6/FSZpDrV887dh0QVWMOUyZsbL7G9c9QTW61hMqb4P/qWVMxhOduVToDbg3ba1yNGJEuAgGK79v+jp1pkXPsi1d1wEwAuOvYnFS7oB2L0zwxGH1dxlUkSjRq8ngLjR622U3kwtWf5K2PAV0Fyjvz4ATi/hHvV616t8MgNZe884CZ+EEKKDlfJQzJAuqBMTbleeoZEGJ/vylcPuhofUCdaeXo2LXwp//7ua2dh02BFd/Or3qloWzsbtvJn7T/gxF3zhrwCsXw9bN2daqHwyJuQpdvjZwdmuulK8lAXH5J1AlsonIURHc7ut4XWBAHi71VglR6C/Yj2fJ0e22bMzhlxGfTF7qo5zNXfth3Aq7YKVlwGwKfUitZ42gTHTQw/Bhq+q60bFUSLtm9zKJ4DIkfi1A2QyVrVEqdSg8smswnC18CXksvV8mg4Oz6zo+VQsqmbQH/wgrF1jpANN93zqMkKiaOUQSXdEVS3dcqa63RVQr4s57G60cMPeM6pg3FdzWI/vndfonuNizjDZG7LOkOqlPImoemOGIrXhk8vr4ZmvrmTPNxez55uL+fP7X8wJJ6vHuf/BJoO7cRgZge5u44fMPvX/3Ep14GjmnQ6v1eHSLFy8Y8zVw30qBKwXPpmBsoRPQggxSxhVTJmCOgG6uO8QQ/EGJwhrwic1QqCnBxYtgjvuUJemz3wGtm9X/z7x3o3kix6e3mDVrVx7LbhdxebCJ3vfxVKDpoSiPZijHEzFdP31xknCJyFER7OHT36/FZQ4K4uV8LrzZDJVC8dQrnyqPuavM4QsmXKpaerPvJZN+csBWLk0UbNe0246GR56nzqrZVQ+JTPeKQif1uHT95JOq4NoUMFH/WF3xsJWgqRyz6dpGHYHRn+v2THszmXu45WMdKCVyieonO0OrH5PoHYmnH71ujQTPrlCKmzKRdX6Zqho7qSE1za863j4jBkmI/4Yh/7+WRZ17+XgITeJEZWghLrq9LRw+gj6UizuGWBxzwBuV4GjTugj5Itz74ORSd0+u2jUNuwuva/cyH9SaQ5wjP35FelW/28SPgkhxBxgVKmkS6raf3HfEEOxBpPClIfdGeHTsNp/7mlQuOxwqArslSth+TI19GrzNrVPt/nJEY45BjyufHPD7kaesq5L5VN7M/frjnivupzk10vCJyFER3PbBg/7/dYQMVfVoGKfJ0cm12r4pM4K1YZPteHLwUMaOFzctedS3v2hpQD0hOo0XmmaEaql9liVTynP5IdPXUfhdw6Ryejl8GnMyqeWwqeZqHzq/PCpULAFqEXjLGErPZ9M9vDJ3jC+mFavjdOvdiwy+0YPnzQHuLshN2wFV3aT1ePI4A2oxw/74vTNd7GsbxcHBn0kY+qFDXXXCTPr/P84gws4dfX93PPIGEPWxqlYVEFPReWTfwrCpyaFI2q3rl7PJwmfhBBilkntBiCDqj5eMn+Y4US4/mRl5dnu1BdENKr6k5a/v0YR6VI71Vt2qjMtC5aofQuPu0Cu0MS+dfagdV3Cp/Zmzmztm68upfJJCCEsbltrGL/fCp1qK58KzY9LN+Sy6kxP9bC7esPO9htDpO+7z1pmhletKBbhjW+EUz7+L4JvTnDlh51QSHDDwy/k8Q1dk9vzCVTlkzuDrmscOqQWVYdP5Z2Y4gQqn1oZqjcRDvesCJ/MYXeAVfnkbLLyyd6Uul4D8dAqNXTO6bd6cWUPjd1TyNMzbeGTL6iCpLAvDg4v87uGODjsJxFTQVyoq87v5axTDeXwcNTy7Wzb3T2p22cyK4zKlU+ZKap8alLYOECIx2qPPCR8EkKIWcYIn9JFM3yKki+4SSaN20t52Herul41210srsKnrjrzWFQLd6md7c27FuD3pAgZsz57XEXyzexbZw9Z14sy7K6tmZVPZjuFYhq2/gBuPGFSHl7CJyFER3Pbjse9XnXQDrXhk8ddJNtq5VO2+cqnTZtgwwYVQnk8cOnZN7b8fAC7dsFPfgIPbDuFVDbIPf/yQCHJVTd8AIAXvrDlhxxdYBk+t0pqzACtWKxsOF4+OC2k1NCvJob/lM1EzydXpuPDp0LBPuxuIpVPtlK5w96kLvWiNXTO/rqMGT51q/DJDK7s/Ivq3mW8XF6j8skfB6eX+V1RDg4HSMTUmzHYXWdYQb3/H02jO5IjlvRTaj0LHlM0qi6nfNhdk8IRdYAQjxVqbpPwSQghZhmz8qmkvoQW96szIkNDxu33XwG3PU/1Ea3q+RRLqJ2MSBOj0iPdamd7y8AyFnQfQjMmj/a4C+TyTcxflrFVPpU6fAetnaX2wF+OV5fjZVQ+5R39avbuYgbueysMP6Jm354gCZ+EEB3N7dbK130+ddAOtcPuvJ4CubwVmiSTsGQJ3HJL48fOZlT1QG34VKfCAnjd61SAs2CB8XyF1icUNYfL/PY/XsEFx95IJl2EQoINA0fyxtcO85rXtPyQo3N68XtURdMBox9kPF5Z+WROwVseqtXS4/srL6eaUflUKFjvhU5Ut/Kp2Z5PrgbD7k7/Iay6XPUQMwMk++vZTOVTZj+gW6Fi70lquzRt1Lu2KpVV75eIPwYOD/O7Rjg4HCIRL+B25vCEumvv1ODvsjtSoFRykJhAC7ZGzKGq3d2onmj5kRkddheKGD2fRmoTJQmfhBBilkntBl8/6aw68bB4vip5GhpCfc9v/YFab/jhyp5Puk4s7sbtKtTu49YRNvosHoz1s6BnuLzc4y6OY9idVD5NmS3fg+ijsPX743+MQoLf3v9qPKtfygVfuKly2F1+Iu1EFAmfhBAdrTp8Gr3yyQqDNmyAvXvhyisbP7YZutQMu9MqPzrPOPxuzj4btm61hU9Vz9cs82C2KxDF58mQTutEh/Lsiy5i3ZETmD2vEYe3pvIpl7OdNaMqfHK1GCKZIcW0Dbvz4HOrL8psh+7fmBU65QC13PNpEobduYKqpHpclU89kBlQ1837Pf8+eNXkpzqxpNXzCYeH+T1xcnk3A/tchHwJa/Y9uwazAZpVSebf1mSqqHwypyeewconpy9I0JsgFq1NXs1AuTp8yuenaeOEEEJMrtRu8C8tV3sv7ldnGQYHgZEnrfWGH7VVPsWgmCaWChIJ5Zo6dxTpsU7uLOixvkw9rsoTuw1lpOfTtNCNHUit9ZEXZfk4/3vbOwB4ZOfxla9XPjr+xzVI+CSE6GjV4dPixer6McdUrudxlyoqkcwD/LpfusUM3PVacukkTmexJsgC+OW7X83iHlXW2hMc5oIL1IHo9u1W5VM276694xjK4ZN/BJ9bDR/bsFE9zpHrJvBl0oit8skMnwAGBqzrFcPuWq58mu5hd268LvVF2alD78yKrdqeTxNsOA5qGF4hqZrH23s+wdjhk7sb0lXhk8MJjtbf52N5+SvdnLb6Xj760s+q8Klbnc3dtjOowidXnXECjSqfutWlGRSN28ZvwObvVSwq/70+9QZ4xEiyZ7DyCVeYsD8++rC7h18L9/8b3PIsPKV9UvkkhBCdKr2bbSMn88lPqh/n96kP9OFhILZBLXT6YNM31LB5zaFOPt3zemLpCJFQcyXikV5rX2FhnzWdqsddbG7YXfag2ocAq5WAmHy6cQZ+AuHTwYMatz5xNgDJbLCy8ik38bN4Ej4JITqa22OlR14vnH023HknfPjDlet5PZVfkGb45Kj3Kbjvb8Sevp4v/+X9OLT61UavPuPX/PrfXwWo6oxly9TyjRuhv18930TCp4g/psKnrIunN6iNXHfMZHcbx6gUqqx8Ati507p+8snGlXqNpscSXgPrPwaLL5rYdjbL4cHjUjs29So6fvc7WL68vas9aqr3Si1WPvkWwJp3wIpLofu4yttcQRWuFhK1w+4Ci0d/XI9tPuYpDhN7+zTu/fQZHNa/HRwejlixD4C7HllG0Jeu33fM3vPpRRvhwocB6OpWnxETrnx68D1w/zsrFplD+ULZ+2Dnr9QP3cdO8IkmwBUi7IsTj9c2uCqHT8l/wubvwMG78BT2SPgkhBCdqFSA+GZ+c/eLAXjPe6C3R+1ADA2hwifNBYe9Wa2/4FxY90F1fdfviWX7iPQ0d1LLnEkVYMkCe/hUGrvFxMMfgv23kXKsIZPzSuXTVCqHT+OPeHbs8VMqOTn5hDSpbJBiViqfhBCizOW2DkJ9RuHDs59db9hdqSIMqg6frrkGNm82bkxs55f3Xko272PtiiEaCfvVF3DIl2DpUmv5ggXg8ZTGFT6ZPZ+6AiP4/RqZnJunN6lAZdXq1ofxjalq2N2KFWoozm9+o4Z9bX7gad64+pVqxpRinUbTY9EccNx/g39qprqv4XDjcarfp95B9bvfrZq624O2dmOGT7XD7pqsfNIccOp34axrwR2qvM2shMoOquDJDLTckfoz49nZw6fpGkYJ4PBy8rqdBLxpSiUHIX+DHVd75VNkLfQcD0C3ET5NqPIpXf8Nk0mqN5nfGOqJ5gD/GCHeVHKHifhjo892t/5yeEUUlrwYjzMt4ZMQQnSi+BYoZrjz8eNZtw6+9jXo7VWf/UODRRU+hVfD8Z9XJ2TOuxXWf6RcrRzzPYdId3P7FfY+qquW1ql8uu+tcM8b69/56S+x7cAqgq+4n753DpJJd3BDznZnDrtj/H04Myn1+vTPV++leLyoQkyAXHQCG6dI+CSE6Ghuj/Ux5h4l6/F4ShWVT/bqkmIR3v52OO0048bhR3ho+4l0B4Z5/LqfNXzMsC9evjQrn8Ds+VSiVHKWn6dZ5WE8XU58kV4yOQ8btnVz+NK9NU3UJ4XDUx52p+tw4onw3vdS/nnNgdeh7f6tmuXC7BPUzhyeUcMns3/XVPT/mSwNh901W/k0Gvvsdy4/ePvU9WM/M/Z9p7HyqYLTg9vn5cx1jwAQ8jdISxqEc13d6j9yZHgCO7xDD9ZdnD60HQD/sUZFlF6a9ObrLTEqn8wptO2shuNO1RfM04vHkZTwSQghOlH0MYaT3fzzwUWcrUZJ4Q+68LozDA8WIbYRIkeCO6xOyIA60bTgPAgfTiwVaGqmu2qrllvD5tzuErmCWzU23/6T2pWNofob9x4BQCob5NChGfyOnO10Yz/HPlSuRdmMGhowv1+9TvFYARwSPgkhBFAZPo12zOd1l8jmrYN384DL4bAOyoaHUeXBww/x0DMncsLKh9E8odoHM0T8qkwp7K+sfFq5Erxedfah1abXI7s24nbm8K15ET6/g0zew9PPLGHdqsHWHqhZDic+jzUGLRSCE05Q14tFrHAiO2jNkNbOtNErn8xZXYYaF7TNuIbD7prt+TQae3WTMwA9x8HFO+CIfx/7vjMVPjk84Azw1uf9kjWLd3PhafWDoEb/P9096j8yOjSBUv/hh9RlaE3F4nRc9aLyrX6JWrDuA+N/jsngNno+JWp371JJ9ZnkCxhvLAmfhBCiY/3ox06Wv2cnyZSDV73KWOjw0hscYmioBMkdEFxZe8czfgrn3kospo0vfDrK6mvocZdG7/k0pL47D3Rb+xj1KnPFJCkkKy/HIZNW+wr9/Wo/InbvF6yhkjLsTggx17ndzTXV83hK5AoedOM7z2xG7XBA0v4Z/fSXKBx6nMd3HcMJKx6urBSp0hUY4fgVD3PSqofweuH00+G1r4UXvxi8nnGGT9v+RcQfQ1v3AXw+yBc8bNl3GOvWjv8sxlj8Xqs8KxiE1attN3rnqcvsoc6ofHJ68DjV/9VolU+DU5TlTYaaYXdTVflkBkjB5c3d1ze/9r7TweEBV4BXn/lbNl9zER963Y3112vQcLyrW5VERocm0OgrO1T3OcydNH9XF7wyDsd/YfzPMRnMnk+J2s/FVLKI35PC4TZCOm8vHmeKXE4OBIQQotPc8PelJDJhHnxQ49xzjYVOH72hIYYO5VRvR/+S2jv65kNwGbEY4wqfFh11fPm6x6x8amToAQAOOM4tL0ok5DtnyuSN3h2FpKrEfvzT6uRxC8z9mvn9aj/iP376NbYfWKlulMonIcRc5/Y0Fz55PerLzhzSZIZCTqdV+WTavO9wMnk/x614dNTwyeUs8vDnTuTiU/4CwD33wM9/rh7TYzxfq+FTLOWnq0uHyOH4fFYp15Hrpu7j2uezmhPXhk9m5dPBWVH5ZIZP7Vz5VDPsrtWeT6OxVz61GiSaQeR47jsRDo963xVSasfHXoFVsV79/x9vKIjPnWZkuMUxsHZmAKhXBljptI7TUcDtC6j+WhNo8jkpzJ5PidqDgVSySMCTAocRoHl68Lhy5LK1zcmFEEK0t3jCzalrn+A4+7wiTp+qfDpkfFeN0oNwvOGTI2LtJHo8Ovlig8onXYcd18K8MzkwaJ24iSdk2N2UKYdPCThwJzz+SbjvbS09RCajjl/mzVc7obc++Twu/+5PjcefeM+KqeggIoQQ08btae5jzGOrRHK7rVCopvIJ2DSgxsYfuXjD2E2Yoe6UpmblU6tDWkYSQbpCKjzx+awD2cXLpu5g3+e1Dj4DAejttd1o/v7pAWO2uzavfHJ48DhUmlgv+Oukyqeank/Oyah8sg+7azFI9E5z5ZPDrRrdO7wq7CqmgBJ4uuuvbw6706o+E1whugIjRKMT2OE1hz6WKvtGZTK6atjfLqGsw0vYnySWrH2vpJIlAt6UVb3l6cXtjEnlkxBCdKBEykM4WDWc3Kh82j5kfK43mMU2l1MjAFoJn679yt9IJvKgXVhepobd2U52lGz9gQb/pfpOnfZDDvzcWiUel9qXKWOvfDIay5PZ19JDZI3wqX+Btc9ULBk7pJNQ+SThkxCio7m9zQ67U5e5bAm8SbLZMAAOh04yWXlQunFANUZcu3CTOvgdS51qB+84K59GUiEiIfWcPr/1uJGe+kOKJoO/qvKpQtEIPsrhU5scZDficONxqjRxtOCvnSufaofdTWblU51hd80yq+DGc9/xcHiM8En1fKKUU//c3fXXN4PRoz9eudwVojsQJRptUDHVDDMALFVXPqEa9jvn1bnTDNA0woEsmaybQqFyhqJUqqQqn2zhk8d1SMInIYToQPGUl/k98cqFDh89wUM8uFvtG+u+xTz9VO3+kDnpSivh06Xve17NMo9bJ1e0newoxK3q5OQOddl3KgcOqOeKxSAeR1XjrPsQRA5vfgPE2ArG+6GQtL7rC4nm71/Kk8mp98582/nGoNc4Sz8JPZ8kfBJCdDS3Z5Sx5jblMOjRq2HfB8gM7gCW48w8Qyq1qmLdTfuOoL83QXdwBHz99R8wfDjENxs/1AmfvOMIn/QSI6kIKxeqvYRyY2Ag0ttEBdY4+Wy5lhk+3XOPqpguH3Sn96rKE1e7h08evK6DQP3wyaxya+fKp9phd5PZ82kCw+4ctr+1aQmfvEBSVXzZt7VR5ZPDBa+tE6S4QoR8CRKJBvdrRjHLHU+fjcPXw7Nfai1OpzX8nszMznBXJWyE1/E49Njytn37NPpCg9YOqbcXjzNHLtc+2y6EEKI5ibSPcLDqBKkx7G54RH3O/+rPy3nN6xs/Rn+DXdxmeTw6uYJt3yQfs8In22QpBw+qlg4PPwzxgwdg6/dh8H544SMT2wBRyV75ZJ4sy7cQPhUSZPLqvTPPdk6tHD5V94/KJ9R+ZQv7QFL3JoToaG5vs8Pu1GVu+/UAZPc/BoAjP1Qz7G7j/mM5Yn0QLnwEek+s/4AvuB8uelpdX/3mhs/XUvhUzBJNdtMVVumD3xY+hXsa956aKL+/tvLp9NPhjDOwwqfULvVF1vbD7tzlYXf1wqeE8R3cCZVPUzLbnbvLuj6RAGk6ej6ZYZvmqnzfNQqfGnGHCXqTNRWOLSnlOOczd3D2x/5YsTiT1fB52mu6uIgxDCNedUJ8yzY3axZusSrozJ5PeQmfhBCi08TTAcKhyqHg5rC7ZMZPNu/hR//nZ8UK+MMfav/95S9wySUT2waPR2co0cdl3/oZP/vnZVb4ARX9Kg8csPqJJjI+dhxczqs/++manqtiHIYfgRuOUf/39cKnViqf8lb4ZK980jRdjfJI7bEW5qLwh4Ww58/WsvTYQ/yk8kkI0dGarnwyKpHM8uBsTKX3Dk+AVKKA+XFYdPXzxN7jeeWzNDUNfSOeLvXvlbG6faG8xvFdKz2f9GKGfSMLWdSvKnd8fusjOtI3jq6QTXK5recJVGcKZvhkVnm1/bA7Dx5nZ4dPZuXTlMx2N1kz1k3H+yC4wupVYA+7Gg27a8QVIuhNciA1CT2fAO66DE66Gnz9pDMO/N4Wx9ZOsXBAhU8x2zFAOg17BjysOWsLOM9SCz29eFw58nknut5WxVtCCCHGkEgHCAWqJtIIruSwRXsB+Ou2K/jb3+AjH4GXvnRqtsHjVvvWv7j7Mq695zUsff6TnGM+VzHDDQ+/kI9+YRG7dsGll6rF8YSL9/z061z30Et4zc1Tt22z3sG7VSXS5m/DyBNw4J+VDcfL4VO88WNUK8TJ5tUBTMh2znsk1QXhtZDYpmbR0xyQ2a9CrsQ2Y6Wn4Ib18IJ/jfoUUvkkhOhobq8KnzRt9BmbypVIObV+ZkSFT05HiWTcSin+sfctREfcnHdesxsQrt/zyQifWql8GjqYJVfwsmiBOezOCht8gSk8V2CrqKnp+VSqSnCmc5az8XC48Tga93wyw6d2HnZXU/lUTKum9o7mgtYxHfdZdWnv4dSq6ZjV7ew/wmnfh8CSyoC31conY9hdMtVcf7h6SgXb0IYdv4DHPglAOuPE52miL9w0CgfUh4698mmbsW+4un+rNezOHcHjUn8k+fb6FYQQQoyiUIBM3k84XDXUPLiM5330B2iazhu+/hVKJXjd66ZuO8x9677QISL+GL/6vVVdfc9DvbzoqhtIpjQ+/nF417sg5E8ST7pI5dS+pEvKYMbvlrPgzpeAbuw0lrLW9ULS2n8vZurfvx6j8snnLVackLr9qXN59VXfUvtCmYPGukbQlTd2NhLbjcttoz6FhE9CiI7mMiqfnI7Rp1H3eNTHXS6vDkCzRq1vqVgilbBSil/dcS4OBzyvtq9iS7xe9altzhpR14F/wIP/Wf5xYK8qeVlc7vlkhQ1TWpVgq6gZM3wKrZnCDZkEttnuqsOnp55Ss7sARKPTu1mtqA2fMlZgMBnWfwQu3gGRIybvMaeCfyGsfou6HjrMWt5y+BRQw+4mED4dGqr6/9fV32om68Tvba/kJhxUb3x7+LR1q7pcs3CL9V7SnOXwqdVZOYUQQsyc+Ij6DgrV6cgwv9/BSSdpRKMOTjkFjpjCr3ozfFrYvY81C7awfYe137p1h9qhvP5PRT79aVixAsL+FPGkpzy0y2x8LibADJzyxn+mw1057A7g/nfDxq+P/VhGzyefr/aE/q/vOJdbnzwP0ruN54uX7wNAbti4HH1ogYRPQoiO5vao0yZOx+iVT1YlkvrYyxbUgnweknFrzPyvbzudU0+FvgkUhQB4yuFTofFKfzsbNl4NOfWFsXeP+h0WLVRfJPbKpyllm0Wt7rA7+9T1ow1FbAcONx5nGqg8oM7nYf166+d2Dp9qht0VM5M/zC24fHz3u/BhOOP/JndbmhE50rruaXHWOs1B0J8jmR5/5djAYNWwVyN8SmdcbRc+RULqjT88DCXjY9GsfDqsf5v1965peFzqs6ZTKp++/3247rqZ3gohhJhZiag6yRYO1z8z+fnPw9veBl/5ytRuh9v4Wg374qyav53tu6x9lWRS7W+Hu6zv3nAgTSLtJ51T6w0NymyrE2aGT+kBdelfCsUk6LYv9s3fgj3Xj/1YhTiZvK98zLR5M7ziEutxnv/5W/jL9bnyuhWX5fBpeNSnkPBJCNHR3EZF05iVT0YYlCuo9c2zLvk8pJJWQDQUC/GCF0x8u8o9n7KjbJc5dMkoUR3Yq76EFy9SR4y+wCQ0mG7GaMPuilmIrLV+9i+cnm0aL4enbjXHwYPW9SVLVFVIafS8csbUHXY3mZVPE9FzPKyawhr+RuzD7lrt+QQE/XkSqfGHuQOHuioXlIzKp5wLn3f0z57pFjFmu7v0UjjpJLVs/35wuUqVs90BHrfa9k6pfHrb2+Dii2d6K4QQYmbFo+okWyhc/1D+vPPgf/8XnvWsqd0Os/LJDJ+e2R0q71sljT6LwZAVkIUDGeKZMMms+k4fPFg5JOyc0wZwuXTuuGNqt3tWKYdPqtcXgaWq6ilf1esptRMeuXL0YXj5BNm8tzwL9po1cPgRKjzs71fPc/Otxllq8/Hz1ZVPEj4JIWYxt7u58MlqAG5UJBkN9fIFjWSi8r4XXDDx7bKG3TXert0ja/nyDf/Jg/eoBkR7jZMWixapS19wmsKnsYbdeefRMRzuuuHTgQPW9SVLQNcrGzK3EzN8qqh8crRJ+NQO3OGW7xL0F8nl3eWqslbtG6wKn4ydvXTWg7/NwqflC4f45GXfJxiERx5RAfuhQzCvJ6OG79rDJ0/nhE+6nCAXQggAEjHV2y8cGf9w8sng8ah93Yg/xsr5z5DLuxjYfgiAZErtn9v3K0P+LPF0mH1RdSJzcH/ldNN3/GsRxaLGffdNw8bPFsbJsPJMdOYIhfimyvViG+GpL8C2HzV+LKPyyeezAkPz9XvtaxysnL+dwcFSed2Ky1xUXWZl2J0QYhZzR/oBcHpGPzj3eI1eTznj0hh2l8s5SKVK+NxpXnXar3jryx/hlFMmvl1erzG8L9O4vOZzf7ySD/ziy/znp1Rl0cA+J12BKIGQCoP8wWmaWc427C64/8eVU6WWciqcOuW7cO4t07M9E9FE5ZPZ92nbNvjCF9qvAsoMSCp6PrnafJbB6XDEf6ghoONodh4MqpAlmRxjxQYGhnorF5jD7rIe/P72Cp80p4dPXfYdvvhF9fOhQ+r9P79XnSnv1MqnQ4dmeguEEKI9xKNm+DSzHbtdLs3YDo1Vh6lt2f7IEwAkU048rmxFU/FwMMe+kYVEU2r4/OABqwqnaPsq3blzijd8NjFn400ZvZj6TlOXI09a65jLoLKVRrVyzycrfDIn6unp1ZgXGebQkHHMYJ9ZDyAvlU9CiDnAnO3O6Rq9n4t5dmbrvhV84c8fIpMzht0VNJIJnYXd+/jVey7lmk/+yTronwBPOXxqfGB6z8YTABiOqnUPHHTQHzlQPjj0haYpcLANuws89W6440XWbWb4dPg7YOEEu7BPB4cbt1MNO2pU+fTmN6vLyy+HK6+k7cq76w67k8onOOmr8JrxNScKGlXi4w2f9g5aTeCKJYdt2J0Hn7fNSnIcHtDzzJ+vfjx40AifelLG7dbfu8etkte2C590vabUae/eGdoWIYRoM4mY+tAORaapN2gD6YwRPnV5Wfo8NYHO3gG185JIugj5UhXrh4IFnjm4svzz0KC1jxyLWqXJEj61wBz+ljYqn8ygKapCQJ5zAyx+obW+q06XettjZfI+vD4rIjLDp95e6IvEGIz6Kp83+hjsvk6G3Qkh5gbzjMpYgZH5Qfren3yRK3/5BZ7co7pP5wsOkkkIeIwvyFamJB31+YweU9n6ZTWJkRyP7VDbEE+ojY/FHXQFRqzwaQYqnwKeFMS3WLeZ4VOncHhwOHRcLr1u+DQ8DMceq64/9ZS6TFXuG02KYhHe/W7YtGnsdevdF6qG3Unl04QEQ+rvf7zh066DVq+zTM5nDbvLefHXmRVmRjk8UMrVhE/zuo1fvqLyqQ3Dp1IBrnXAox+tWLxnT511d/wKRjZMz3YJIUSbiMdUUBPumtn9s/iQmjAn1B2iu1dtizmDXTLtIuhLV6wf9BfJF61tHhyyKmxGBq2dsR07pmqLZ6F8VF2m96LrcMMdq9C9/ZAwprntOwU8tuptfZT+A4UE2UKgovLpIx+B17wG3vAG6IskGByp6vmUOQD/fKU13O7A30fdXAmfhBCzgmOMTzNz2J3JnGkjn3eSSkPQaxyYaZMzft7rM4b31QmfcjlYvMxFSXeyav42Ykm1LfG4g7AvboVPgWkay28LlxwO3ZquFTovfNJUBZzHUxs+ud3Q1QXd3WqZWVixf//kb8bjj8O3vgWvG0dv7rrD7qTyaUImHD4dWlS+nsmr8EnX1eeIv91yQYcHipXh06FDML/bKJG3Vz55Zih80nV45CMw9KD6+fcL4KH3q+tF4wDk6S9W3MUMnwLmZ3U+BndfBpu+OQ0bLIQQ7SMeUydAQl0zu28Q96g+FeHlJ9LVY4ZPxvdt2k3QV3lCNxi09om7g1EGh639y5Ehte6i7r1S+dSKrDUm/ad3v40XvcTFD+76T+t2hwe8tvCpMMoZ13ycTCFQbjgOqg/tL34B4TD0dSUZHDEqpwq2hualHMQ3N7W5Ej4JITpawAjgn//80dczh8GZRlKqgfDTu9dw4x3LCXhTsPqtcNR/Tcp2WT2faofkDA6qoGnFvGe45NTriKWCqgF2wkXEHyuHT2bly2c+Mymb1JhzlMbmnRY+OVT45K0Knw4ehPnzQdOs8Mk0MDD5m5GZQAFdW89216GCIfXH1Gr4tHvzAMP7o+weWoSmqZ3mdM4PeoF8TkfXHRU7aW3B4YZShvnejYB6fw8PG+GTww0OK9T2uNXn03SGT4m4zk2/382Nv3iY5KY/qyAqcwA2GHOCF43+FXrlkOW9u1Uq2xs0zq4evEutM0aJvxCiTRRzMHAL+7ftGPeJAKEM7BjGoRWZv3Bmv4BWrY0AcPSJEUJdPhxakZGYqppJptyE/JWVT+Y+O8CapfvZfbCPRx5RP48Mq8/+o5c+QTTavpPCtLM9I6sB2HpgjbXQ4a6sfCqM8sdXSJDJB8qTNFWb15NmJBkin6d2Nr3Mvrr3qSbhkxCio3V3w8aNakrZ0ZiVSKahZGUD4Xef/004+ZvjmkmrHqfbhaaV6lY+pY3v4k+/4hP09UGh6CabhXjCpSqfbFUuug4f/WjNQ0wuh5fjlj9S/7ZSbvRwqt0YQZnHUyKbtRYfOAD9qjd9Tfg0Fb1k4sZ3cqMv8NHUDLsrZcDZbuU1nSUUVqFkMtHaELllaxdx2GqNAyMLOHzRdsCofCoVSCdV/yl/QBvtIaafwwPpAfruPQpN09lgjEqb1xWrqHoCK3yy/61MqYFb+PzrP8uFr1jGC790I1/64RmQHaxcp2ro85vfDOvXw1VfUZ/hJd3Ydd3/d3Vpr9QUQrSv7T/lmo//moWrV/D+dx0Ye31RX2wTuzbuZFH3AK5Az4xuytvfDnfdBS9+MTjcPiL+GNGY2nlJpD0E/ZVfLvaZ7z76ljvoCw3yX8Y535Go+k49cdVDAOXvLlFHqf7QObdH/d/nCrZ9RocbvFbfynJ1cT35OJmCv+FJtb4e9XoOHcxYDc5bJOGTEKLjrV079kG+x1MZPum69fG3bGGUV5z+x0mt8NGcbryuLNlsbeWTWRXjc2eIdKsNj8UgnnQR9senv8rF4eGe/3cGw888XXtbMduRlU8ed2Xl06FDMG+euh6JVN5lKsKnIaM4wz16H/y66g67k8qnCQkaTVmTsRZK0kpqRziaVFWSaxarHa3jP/IIL/jQf/Nv71Q7YfbeCG3B+Ht1Okr0hJPlYH5+ZLjmfeT3GbP2VZ6cnjr7buZQfB49wSHWLtrIg08vgkxV6aEtfNqwAX70I/U3+5pXJDj/6JvJ5o0P+wPGTAESPgnRGaKP83//fD0AW56U8KkVySR8+ctGlWp6D7sGl7FshRs8XTO6XQ4HnHmm+YOLrsAII0b4lEx7Cfoqy2oDAWvfe81aJxcdfz0PPqij6zAyrL5zLzr+BgBuv33qt79jleqfMXJ71fd/vmTbb9dcVZVPo4RPxSTZvHeU8Em9RoM3/Tu/uG4V7//ZVQwMWz0xWfl6WPeBUTddwichxJzg9TeeWjTsT4MrqMZkTRaHG687S65O+GQe6Pk9aSK9qgY5NlIilvBUDLubNk4vfk+G7lCi9raOG3ZnVD65SxXhUyZDuTdPdXP6qRh2Z4ZPnnH818mwu8kXjKj/v2Ss+ZQlF91V8fPhS1RKmcyGuPmhM/jFb1SV5HNOH6y574xyWm+6oZjqzeD3w3Grt9YJn4zG6dMVPgVXkc77ifhjnLzqAR7bvBjSxh+gyzglXrLCp59/bzuapvO738H/Xv0MRy97gmzBq8r9hx7gyl/+Dxd95LO8+c1WaCuEaE+lkc08svNEALJZOQRtxf/9H3zgA/CFLwC5KLuGlrFsRfvtm3UHY4zEjUrjjJegv3KG2mDQ2s8OdPdy3PJHGRzU2LcPRqLq+2jtok2sX5fjttumb7s7TqH+l3am1A1ArmB81zvc6tjGY6uQG63yqZAik/c2PKHf16Neo8FnNvCWa37AV258P7+4+7XWCqvfBCd8adRNl798IcSc4PY0bt4d8iXAGWh4+7g4zMon27Lhx+DOl5Exhuv43Bkiferg8ND+NLm8OexumncozKE49nHgZjfujgufzIbjxYrwKZ+vrEL64Afh8svhggvar/KpNnySYXcTFYyo/79WKp8Gd1VOr3bM6l0163z8ZZ9m/THjeJGnkmZtz3svuJrLX7aJZBKOWLqjpnH9eMMnXYcHHxzHtukF1aTdk+bY5Y+xc/88ovuNZqnmmdlCmoHhhZz40Qf5zFdX8aIT/szijRfALc/C586oYY8H7+aeTafwhT9fyb82redHP4JnnhnH9gghps32LWniabXPY060UqGYhbtfB9t+PL0b1gG6jAKnP/wB9NwIuwaXsXRpm1XdAl3BBCMJtU+ZzPgIBaoqn0LWieBgbx/HLn8MgMceUydhAbr8I1xw7hC33w5bt07ThneaUv19mXhhCQApY1Kl8v6AtxfO/pPaRx618ilNJudpWPm0eqW6728ffjOZvHqOjQNHWCv0nTrmpkv4JISYE5xuNy5nvu5tYV/MOus+WTQ3HleuMnw68HfY/UfSI+pgyx9wlIfd7bnhwwBEgunJrcBqhlkpYQ+fbj1HXXZc+FS/8imXqwyCvvhF+MlPYN06KyiaLLmcNU1wvv5bblTmfcpVUzLsbsKCEfX3nYg131l7cE/lNIhHrDxYs05vcAj8Sya2cZPN9vd69Xt+yk/e+EK0QgyGHwR35ZhTv89oot5i+PS978HJJ8PNN7e4bYWUFT6tVZ+DTzxu9OEyz8yWMjy+6xgefuZEzj76Aa5912tg4K+Qj+F1ZSkU3ZQO3Mu3bnkX3eEkX71cNQyR5rRCtLFilkc2qLHv65ZvJ5aqCp/23gi/8sEzP4eN35iBDWxvZmXnww/D0IEs6VxADbtrM13BJNG42l9JpP0EA5UlqUFb+BTo6S+HTxdeCB/54tEAeN1Z3v+2Tbjd8D//M00b3mmKjcInNQTOrHrG4eazn4WjjgKWvgQCy0evfCpmyOQ8DSufDluZ50Un/JmvX/+m8rJN+9ZaKzRxLCXhkxBibnB46AvVHx4Tcu4F1xRUPrmrKp+McCedUAfAvoCXcETtPLzi818HIByYwDRp42UerNq/zA7cqWam0YsdFj6ZPZ9qK5/qDYGLRFQvhVJrfahHdeGFcM016nqizkjGsZjb7fEApaLR9F3Cp4kIdKkdsXSyhfBprzWLWtCbwB+orZ7sDQ1BYOnEN3Ay2YbdsepySGyFRz4CsY1w3OcqVg341YFBapR90Xruu09d7m6132gxTSoXIDD/MJYsVs+9f8B4TTTj/7eYIZlVO7Bfe/PHCB71KrjgAUAdlABkh7bzr+1ncd5pO1jStQWAEWn9JET7Sj7Dw9uPw+ksceZRT9ZWPu23NfgJtFmg3wbs+5JPbFDJwPKV7bdf0B1KMpLwQW6EZMZP0F8ZPgVCVmAW6FtITzDKTz9/I297m7WOpsGingMcd5xUtDbUKHzKzQfghn8cwXf/9g5A52Mfg6efNr4jXYFRK59K+QzprLeiMXwFV4h3nvfd8o9nnqmzcfBMOP8ueMH9TW26hE9CiLnB4WZhV+U0oF6P+lIMe6OQ3DHpz+d1ZSsCkLsf6OWEjzzE0KB6Xn/QS6Sn8vRCJDhd007ZaMaZqGJV+cMm4+xjJ852Vyd8qjcELmxMbjiekKgRe5+CeLzxeo1Uhk/G+0GG3U2IOxDB6SiQTjbfGGjwgFUJ+KEXfRF/oLZvXG9oBHwLJmUbJ409LO5/jrrc/C2IHAmLX1Cx6ngrn8p961p9WxZTpHNB/F3ddEeMhu5Dxhve3Jm2hU9BdoF3HgSWAVb4FN23ny0DKzj6iBHVJw+pfBKireXjPLLjeNatSdDfEyeWCpZH9wMqHO9aD/PPGn1Y0BxlD59uuH05ACed0ridxEzpCqYZSfgp/KqPXMFLKFhV+WTMPOt1Z3D6usDp5/Xn38q3vlX1QKk9hHyJ1iYJmUts++tP7FrPqR+/j5FUhFimu7z8ih99V51ANnzlKxBN949a+ZRKqZEXoVCDFdxhzln39/KPL3iBxr4DHv5415ncdP/JfOtb8Kc/jb7pEj4JIeYGh5tF3ZWdpfv71Z6P35Oe/APIOpVP7//yC3hkxwncfZ86W+UL+oj0VJ65Cgebr8yYNEa1UPngL3KkunzYmLGiEyufXK2FT5N54NrdbV2fcOWT+ZpI5dPEuLsIeFKkUsWx1zUcGlQ7YY/9zzF8/GX/ja/OpAW9vYCjzQ4AzL9XzQHdx4GvX/3cd1rNql4vaFqp5fDJrJQyw6fHH6fyQLKRQpp0PoDfDz3dKvgajhq7ombQag+fPMPgna8CKFSfPICHnwij6w6OPjJNV0CVPEn4JEQbK6Z5eMcJHH90kkgoS6HoKs/8kdm49wAAxv5JREFUC0B8E4TXqv6b9hYAAqgMn667Yx0Lu/ezYsXMbU8jXaEMI8kAP77zjQAEA5Vl5cGQ+n4KepOqxMm/GNJ7cbngv991Gx+46Evg7obY04TiN5PYt2Waf4MOYat8+thvPsP9207lbxteRjxZtaNbKpSrmD79afjgD9436t9XMqW+j0erfAr6rPDq7LPV5SteAS96Ebz73fDSl46+6RI+CSHmBoebRT1V4dN89aXoW/sqOPeWyX0+zY3HmSObs/o3Bb3qCO/gIfXR6w8HiPRUlg6EeyZ5+F8zypVPxpfZ/GdV3t5R4ZNZ+VQYteeTKWK0wGmlQmnXLvjIRxoP1TvqKOv6xMMnIxWQ8Gli3BH8njTpVPPjKweH1N/FmoVb0DTwBaw3kNcIQXrnt2FVoBkma04VjC26UP0cOaJmVc3pxufJjjt8KpXgrrvg2GPhm99s4o5FK3wKhcDpKBAdqfr8sYdP3qQKnjT1mel1qSOwBzer3+Xo9YVy5ZMMuxOifR08UGDv8BJOODZTrvAuB8alghoeHDlCDQsarSfNHGUP6jbuXMSZRz027e1Bm9EdyVAqOXnv/30VgOOOOFBxeyCs9mUCHvMMhgqfAD72lhv50us/Cd3rYc+fCXqTJDMzsE/cCWzhk9+jvsBTx/24dl9WL+KynTf7v7+dz8HBBvv0uk4ipU6mjVb5BLDja8t59LYHOecc+K//UhPlFIvwoQ+N3bZWwichxNzg8NAdiFYs6utTl95wNwQn+RRSufLJ+hQO+dXZhj0D6uDQHwriD1d+wkcWr57c7WhGufLJOAL1dFfd3knhU2s9n8zKp1bCpze+UTXBvL/B8HazAmT16smsfJJhdxPi9BLwpkilmt/tGYx6Cfgy+D3qNfAHrTdQb1B1qe+dP8kTFUyGcuWTscd53OdUALXq9XXWdRPwZMY97C6bhW3b1PV77mnijkXVcDwQAM3tpzsYYzhmBHjme71UHT7NL9/dHHb34PaT8HiKrDncJcPuhOgAO3eqz97Vh5WIhNSXXOyJ38G1bnjwPVDK2yqfJHyqlq3qyHDS2m0zsyFj6ImoDU1mQ3zwoi9y7mmVLS3MmWeDXqP6xhY+UUiqhtWRIyG9l5AvQSJbOUmGMNjCJzPISyTUvuyaNdZq6aybkRGYNw/e8hbI5j08umWFmlny/ndB2taOpJQnmTFen1EqnwCWz9vFsSep66tthy0nngjnnjv6pkv4JISYGzQ3IV9lEhAMqmCo0awOE2L2fMrbK5/Ul+327UbFVSiE5glzwwdfWF7Hv/Aopl31sDt3d/3bO4Fx4O3z5Nm5EzZvVovHGnbXSvhkzkbX6IA9k1Hlx69/vaoQKTY/0gtQ4ZOmgdOJDLubLJoLvztNOtP8bs+h4QB9XdZBkC9gfVD09qmzgz3HXjJ52zhZqsOnwGJ47l/qN0bX3Pg96ZYbjpvrZ7OUz6oWmmmnVUyTyvrVcD1ngO5gtDwzUnnYXSFNMhvE48richbLQ+7AVvm0/STWHZ7BFejC687h9Ral8kmINhaPqS/CcMRJJKS+RGP7doJegM3fUSsFl6nwQSqfalSHT0euOjQzGzKG+b3WjlFfeBByldMJB4zwKeCtqnzSdSt8Ch8OqH1m80SEqFJM88t7Xs2Xb/jP8nD0AwfUSZizzoKrPvYEANsOrALUCdP3vlfddXjECzt+BZu/DY9/suIxExkVKDWsfLKfqDdm+jVP5IMKuT7/+dE3XcInIcTc4HAT8laGT4GAMZRjqsInd5Zs1vqYdWrqbN/BmOrB4vOkwR3hhcffyO0fPYdnH3EnS46sHRoz5cyD1JIZPnVV3p7roKM6TSVM7738EVIp+NKX1OKxht21UjVhvl+qdwZNmQzlYUWgZtNrRS6nqp40DasazSHh04RoGn5vpvnwqVRg16EFLFmQLP89eIPWa9C7eAHhMLhXvXgqtnZiyuFTE72oHG7846h8MsOnXM4KnZoKWQtp0jmfET756QkMMxw3Di6qKp/KZ8bN8OkF/8Lboxrt7h5axtHrC+BRe71doZxUPgnRxuJxVRIc7nITCasPjVis6vPY0yeVTw1kowOEfdaH3NpV7blfNr/XqsjpDQ5BZn/F7cGwrecTqJMjhSQU4pCPqcqapZfA8lcR6ukilfVP6mzEs0Yxw2u++Us+8Isvk3KvA2DfPnUiNRyGLmM3ftPAWgAWLICeHrVsKBawXhenLdwrpq2q40aZX2gVvGIYLjkAbrWTaw+f+vrg5JNH33QJn4QQc4PDw+KevRWLzKnTfVNxXK+58bhyZHPWx2wiVdkzRjv8neBQScY5p+7hzjtKeOYdPgUbMwazsqlgDrurCp/Slf9vbc2YZv7M43eybJn6Ii4W1Um10Ybd/f3vzVc/meFTo2qRdFq9p8Y7k54ZPgHWAblLht1NVMCbIZWpbRpeV26YnYeWs2JpGrqPBcChZ3jrOdfw1/96Pr291o5c2zHDp2YaoTtU5dN4w6ds1gpumwmf9EKKdM6rwidXgO7AENFkRB1w6kXV+6VYFT75jPCp7xR8K88vP9bR63XwLwQgEkxL+CREG6sIn0JG+JSwPqPi6RD/9/vlPLR5DRSl4Xi1TGwYn8cKdtasas9Z4Ob15svX+8KDkB2suN3r09C0UmXPJ4DUXkjtUjObRg6HZ/2KYJfq99RqZe6cULJe/xHfcwEYGLDCp0iXOvbYvE8dUyxYYEyQAgzFQpA1Kud8VmVxU5VPoFpz+Kzh8PNsD2EPohppci9MCCE6nMPNa868luFkD+/56TcA9SUIUzvszh4+xZPWE/n9QNgYKH3BQxBaCZ4ZOpo1w6dSg2F3S140rZszIZr5u+Tx+VQQZA6TG63y6etfhz174Le/HfspzPdLo2E+mYwKn8wv7wmFT3njiNo12p6AaIbfmyPeZPhUSg+yc3AVlyzbCid9Ff75Sph3Jte87RQAnOer90tbKjccb+J3dbgJeFITCp/MHmXNDLvLZ/OUSk4CAVTlU3CY3UNL1Wyjye0qbC1mSGbDBPv64dj/rvg88vqtz9P1R7vUcFRPL5FAgpGR3tZ+CSFmu323qtkuu4+Z6S0pfw+Gu7y4wiqpjsVV+JQvuHjRVddz54Y+jlj5GjZ81ugB1UlD/qdYNucsDzsG8PXWGUbdBub32cKnrjSc+t2K2zVNVT1ZPZ8Wqcv0Xkhsq5iVNRRU75NEYowwZC6y9Xzau1cdyzzyiDoJNG8eRCLqb+upPaqVx6JF6rjD582rauO00TNMs/2NNVP5VEd15dNYpPJJCDE3ONw4HSX+/QXWlExmKDEl4ZPTi9edJWevfEpbJVY+r62OuPeEmQuewDbbXZ3KpxdthP5nT/82jZdZ9VHK4ferIGi08MmsTgJ47LHmnqKZ8Mk+7G5C4ZNZGu1b0NqDiBoBb5Z0trnwaf+eOLmClxXLdeg9EV6yteI1OO88uPzyqdrSCaru+TQazY1/AuFTLmdVPjUzvNS8X7nnUyDKhr3rePVX/pfbnzxH9X0qZkjmwgTDXjj6YxVT53i91ufpmrXG7+lfRJd/RCqfxJzw5jfDJc22mrvtefCXY6d0e5oVj6u/43C3l0jEDJ/Ul/Lfnz6HOzc8B4DBEWN2s2KLH0qzXDZTwuvO8oF3buff3rQX1n1gpjeprq5u63rfs6+Erto+poGQm8BK9XqXK59GnoLcMIQOK68XDKj3SautC+aElHX2y+xtusPo7f7sZ0NXj/r+f3D7Sfh8sES1Z6K3p8hQshee+ZlaYO+v1mzlUxWzosrnQ51YGoNUPgkh5gbNOmgJ+2LEM5HyMU0rCX/THL7ayqeUNXTK79On4EnHqXrYnb3yyd1hM404aiufzMqMeuGTPXhc0GS+M1b4ZA67m5TwKWtMU+zrb+1BRA2/N08q3dyZ9J3b1VnF5Stt63fKWfhWez65U+xvYVhDsWhN+53NWn8HQ0ON72NKp1Torobd+ctTRP/6zuehZ4d47kdtlU91Cpm8Put3WrbSDJ8WE/EN8YyET2IO+NGPZnoLxieeUPtCwbAXT1jt/4zE1d/w3ZvOxOEo8ta3OvnZ/5n7I6nO2/+YQtlsCa8ry5e+va5if7bdaLYWAX3z639nvue9Po491jgZa4ZP+29Tl6FV5fVCQfU+Gc+swbPeobvLV6u/e088ETY8qP7vn9h9DOvXg8N4y/T0eRlKL7JWtoe8xcy4Kp88nso+U2OR8EkIMedsvXo1iUyIyOu34/fDq141BU/icOJxF8jmrIOlRMb6Ui7pbbTzUNNw3HbKwx2uXb+daZr6fYzKp6Ehq/KpXs8nW1EF/U3mO+bwomi09jZdVwfk9vCplZn0oCp8Su9Xs7+4ZMaXifJ786SzzQVIO55RZ1xXrLb12mqmkqgdtNxwPEXa2Lm//3614+oc5a7293PL4ZOxn2s2HLcPg9x+cJUx7C5NMhekr85b3ue3Nqx8Zta/iC7vQUYGxn5+IcTMiCecBLxJnK4gDp8DtzPHD288j+v+fg8HYv0cs2IzixcfSSrtplhy4EzvgdhGmHdGuZfjXJbJgNedb+vgCaiYmbdvfv3X7aMftf3gDkPfqbD7D+pne+WThE/1FXMweH/Fore8BW66CZ71LPX93dVj7escbmsl29urMZSxVUMW7OGTVfnU6kl5NdSvuXXb/B0shBCTKKJmkpsfOcSq/mfo64Orr64fSkwGr6dENm8cLOk68XSIrkAUgEPDbbQzZVZ0mGPI7WPAnU3U0LYbhxv05no+2TU1VTzWAXS9yidzBjy/f5IajmcPyJC7SRLw5ZoOnwb2qvBpyUrbqbyOqXwyttPRbM+nJOm0zpYtcOqp1nTMjdjfz9ksxIbUgsFDY3ccT2dU2msOu/v0yz/Bd970Tt7+8gfYfmCVNewuE6y78+v110nF/IvxOqJks21UTSrEFNA7+C0eTzgJ+9Rnheb0EPHH2Lp3CfdtPZ3tBw/jrGM2WDPEZoLw2Kfg1nPg3jfM1Ca3lWxWw+dtcidlJjmtEzaeZsZgARx1pXXdFj6ZlU/JRAe/8afCyBNQyuL1WN+5fX2wbRv8/Ofq50i3VdZfGT7BcHYpnHqNWmAfdldQPZ98vtKoJ6DqWbQIFi5sbl0Jn4QQc0dETUfKsZ+BCx+Z8qfzeork8mZVUZZ4Osy6xU8DkEy2+Mk+lcrhk5Gq2A9a7aVBncLhgaLV82m0YXd2zVYomUOO6oVPZjA1kWF32WxVzyevDLmbDH5fgVS2uQZvQ4NqJ79rnu1UXseETy30fLLNdme+n7/5zdHvYu+/kcvByKD6w0lnnGP2jkqn1eeJ2XB8ad8e3vm877FqZZ7BxDzi0RyUjNnu6oVPvjqvgX8RLkeOQkEOUMTs1miodyeIJ92EA8aBrsNNxG+Nk/32m67g42+6wTphkw1xaM8BfvbPy9jyVHT6N7YNZXNaRdjQtuxDJZudKGXpS+H8f8ILH6u4fyikvi8S8XyDO85Rxkx1XRHr/dDVpfYbzdAo1GXt66xda921txeGhjRY81YV9BWrKp+yIUJBW0/aJn3/+2PvO5gkfBJCzB2RI9VlKQc9x03503k9OqWSg0IBcqkk+aKHdUuenvLnbVm54Xim8udO1WLl0403qnLhZhsWm+FTvWF35m2T1vMpcwD8Uvk0GQK+Aumsr6nqgeGhEl3BWOXZv475uzAC42aG3Wku/J40qVRlqPTtbze+S03lU9z6w6r3N1FWKpDKqDe22fPJtOow9X+7fTtG3wl/g/CpzmsQXovLUaCQ74ADMyEmYN/2A82vbP+gK83830Y86SbsNz5kHJ5y+HTCmi1c8bzvsnCxs/ydueTdeznzAz/j9d/5Ge/6Vns21p5u2ayG19N6KDDtgivY8bXlPPTZE5pvF6BpMP+smlkZg0H1XZaMd0DF13QyZkHWHNbJ4ep+Sw639f36spdZy3t6bEPknf6a8Emd+Gn9RM66dbBmTXPrSvgkhJg7Dnuzulz60ml5Oo9HfYBnsxAfVh/wRy7aMC3P3ZLqyqdmDlrbmcNTd7a7RsMrL7gALryw+cqn0YbdmeGT32+NmZ/wbHdS+TQp/D51AGa+RqMZjjroCVdNsdMplU+6caDZdMNxVflkD5+uvLLxXezrZTNFRuJunA51cDDq31AxTTqvdoj9fiB8BHQfB2f/iVWr1LZu3Ow0ht3VD58CIRU+XXLK76yFPSfgduYp5DvgwEyICdh31zXNr1yyVYvkZ75kKpHyEPIbH74OD10BtU3dkSx0rYeeEypm2Nq8T40VOhDthYJMd5bNOTskfFrJ8nm7OGHlIxPuVRkKG5VPMQmfKuTVF605odHChXD88VXraA5+8LY3c9+nT6Wvz1q8erWadfbBB1FtNer0fGplprvxkPBJCDF3RA6H1+rQe8K0PJ3Xa4VPiRH1AT8vfGhanrsl1T2fmukV084c7orZ7prp+RQOW5VP//gH7N7deF0zvHjgAfjJT6zl730vXHeduu7zqQDJ41Hh05veBOecA7t2jb35uRx49IPw19NU5ZPMdDcpzPApnQY2fweGHmq47vCIh55wVUplDkHtOXGKtnCyGGctbb03GtLcBLwp8nmt/P6/5BIVIhUbFEtUDLsb2k4s4WFJj5r2edTwqZAinbOFT4HF8MJHYOlLWH9UkcU9e3jHh47ghHd+j3TWVzd88gfdPPXFdfz83y6zLVyAy+trumebEJ1q34g1S1Wjv8+yUta6nhuemg1qQTzpJRywwiez8qknkoaLnoDD31H3oHc42VMxrfxclcm58LXTLMmNBJZZ1x3NDXNvJBhSJyUSiZmv3GsrBfVFm8s5eP/7YWAAzjqrdrU3n/MjTl1d2Zj8ssvU/u7VV6Oqj+09n8qVT1PbbkPCJyGEmCJe43s3m4W4ceYmtPIsvvup27jxxhncsGr1ht2deS2c+YuZ26aJqKp8aqbnUyRiHTi//OVw1VWN181krKqmX9j+i772NatZs8+Y8CUchv374cc/hjvugLvvZky5HHiK+2H4YVh8ESy7ZOw7iTEF/OqscTpVgvv/DW46qf6Kus5wzEdPd50+Exc8BOfdOoVbOQl6jocj3gdnXTv2ug43IaMJ8L59atEy49ih0RA6s5LP6SiQyTqJJT0s6W0ifMrH1IEk0N1deVMw4uamD13AuWccZHnvDl517n1cUu9t7/CwbskGfJ5sxWJXcB6FouzSitltYLCnfN3lgn/+c5SVi20WPqW8hAPGNtnCp+5wrrxOvfApmuqGtIRP2ZwLr7cDenA6bYHTBHuGhsJOfO40+/eNEbo99H64720Teq6OYlY+Za3jjLpO/Ao87x8Vi7q61D7uTTeB7vCrE5zmZ0Uxzf6RBcyfP7Xvsw4/vS2EEO3L/FLI5SARVwe+4WXH8KrXnzqDW1VHzbA7F6y8dOa2Z6JslU/FojVMbqzwKZlU68fjow+Vy2TUGPpkEjYYoyhLVdXwfqPoJBRSM5CY9u8fe/NzOfAE8uCdD+f8eew7iKb4jfApNVbX3kKc4UQXR62os8M7TVWTE6I54KSvNLeuw02XX/1/7N2rFpnh0+AgFeX6JrPyqSc4zHDMR7HobK7yKTfIvqiaDmdBdRszh49jlj/Bb79xE9z3VjUpxNGn1dle40O1akihyxegUOzw4cJCjCGeqAxYv/xlNbV6Xe1Q+RR9Av5yDFzwEPHUUsJBe/g0CEBPl7Wd1eHT0v4hdh/opRjfi3OBCsR9PuvkzlySzbtGDxpmIc3lY8W8HezYOcY0ahuM77vTWhiW2snyMYr4KBa10d8TR76v7uKzzlInRDcPrGat9lf40wq4ZB8UUuw4tIIzV0ztiRw5TSSEEFPE41FnD7JZiMfVgWwoPJNb1EB15VPHD7uzKp/AGk7XqOcTUJ5lJx5Xr1c223jddFrt/C5bZg3Py+Uq1zF3jkMh2LrVWt50+OTKd1CD684Q8Ku/wfTwoLXw7tfBb3srV0wPMJzqoad3DuwiOdx0B6MA7DGKC5YvV5flpqRVzPCpNzTEwSH1R7a0V/0hjBo+ZQfZH1tAKFikZgZup/EHM/yYuoyspS5zJj9H5R+zy6mj646xhyIJ0cHyucpAfNTp0NshfNr5GwBu+J+PcXCkh/k9VsNxn1vtb3RHrPGy4ar9o2OOVF/esYMHAdUs+cwzp3ib25Guk8178Po65Dup66jJeRynl5Xzn+GZ7TnqzhRy4B+w5y+T81ydpBAnyzxgjMqnBs44Q11+/IevJ1dwg18N540PRhlO9rJ8hQy7E0KIjuT12cMntSw8xY38xqW655PW4V8NmlX5BFb4NFblE6gDbl0fPXzKZFRl09Kl6nUdGald3x4+2ftHmUObRqPCp1znNLjuEH4jfEqNRK2Fz/y89sAsN8Jwsoeeng7/O2iGVlv5tHSpumwUPplVgb3BIQ4Oqze6Oexu1Ob6uSH2jyxgQX+dhMj1/9m77zBHrirv499SLKXOaXryeDzjnBMY22BsjMkmLDnDLhh2AS9h4SUtcYE1cTEsGQw2OZvMgrHBOceZ8eTQabpbOYf3j1ulUuyo7pbU5/M880gqSaXqnpZU9atzzzXSqOl71GVge+11mMF4ZfhkLJa+T6KdZbPlJbY22wzDkcqG3dV5My81dz8An/jVu9jUv4+rXmgEBTYX+YL6fPWVTOteWvl0wzuexj89JwjA9KQ1BPqee5Z2k5tSLkkyo6O3Svj01LvgBQ1ocm83Kp/2A4d+Vn5f8ij86UK48emLf51Wk4mQKqiy5JlOqtZz/PEqtPrh/53HDfc8HTzDAOzfp75AN25s2JbW1CJ/xUII0XrcbvURm0pZB2WBjiYcs2+GHIVse1Tb2GtXPs3WcBzAOME644xoyaRV+QSqiXhl+FQ67M7U2zvPyicJnxqqu1PtWE2Nzzz9YCKaIpXR6e6Z8WHtoaLyyeuFPnVCdcbKJ03L0+UNMmmET3OufAoNMjhY4zPQnBWpGD7VmbPZfNxx/16+2KEOwiV8Eu2ssvLJFt9T55GUVz6FV2iWXaf6Yj00tY5zj7mNPn2XWm53kcursi27wyrfKp1k4Gmn/ZbuLvXzBkNtsF+yGJO3ksq4cdeahaEZ2XVwdix+PTadTX37mAgPEBs3ZmuJ7oFCHoL3L379rSobIY3q/7aQyiebDe4w+pD/+p5n8K0/Px+AAwfVMYuET0II0aI6O9QZ/okJiETUAZff34Qfu5oNMA4IW33IHdStfJrpDJFZ+XTUmIywXuVToVA+7A5U+FRv2F3pMIKTT55P+JRujyCwiQz2q//UsZEZytqA6Sl1lr27uwmD4kYr6fl0+LA6+OsxQreZwievnsbttH6Pw12qbGpO4dOaGn/X5sx82aiqlnBUjsszH6erGUtPfl/ZYoddwifR/rLZivApNVL/waWVT1N3LdEWzSKfolCAI8Fh1RcuvFMtL6l8stmtz4Oy7+iTP0j35pMBmA45V/WQ2tzDXyCXd+Dur1MR2q6MYXcA+8fXwNHb4ZfHwGNfXd3hUyZMCvVFvdA+YJs2qctv3PhaXv2RV5NMwv5D6ntXwichhGhRZ544jt2W5eabIWq0OmjKyiewqmzaIfCo0/Nppsonc/atEWNfvl74ZIZMHs/MlU+lw+5AhVAbN85j2J1dht012mCfCpXGRnNc9l+/Y82bjnDPvtOqHjc9pY5yurtXQQNrm5NOrwqfYjEVPpnvhZmG3fk9SdwO64++2zeNV0/y5z+X9zgrk55iLDxUu/JJs4HdCJwWcMbcYbxVJHwS7SxTMQGnzQbkc6p33WT5lOrFyqfOE2DqbvW45ZZNMBXtIZXRGe4+Yg3pt7noC6gzPT3ddbbr5A/Q1aP2R4JhR3HiELD6zq0WqVFVEer2rLJ9ArtenMziyLgPRn6vloceqh0+5WvMUNuOMhFS+S5g4eGT3w82mzXk9dab4+wf68PpyDE0S3/3xZLwSQghlog/YOfMzXfzt79BJGLDpuXweJs03Gmr8Km88smsxpgpfBoYUJcHjcruesPuzOW6bs3YNTFRXvnkclnVI2b4NDio/o2P1+6bWUpVPqUkfGowr9+GX49wZMTGHx64jNHgGm7eYUwVVbB2wsIhdTDU1d0G74XZlIRPAD49gV3L0dU1c+WTT0+WVT51eMIEPHFuvhm21hkxl4kFmYz0Vs90ZzKH1Dnm3xjPKcPuxCpQVflk0yA9qXrXjf6x/LGpNI8cPo4Hgi9g95EhiOyceeXT98N1WnWItQh3P9hJ3xvUBA/DJz8Onvx/xoa7eM+zPsaXXv0GXvSsw1XPM3u4dXcbmxZ2E49b9x/es0I9rFZCLs19O1Ua0Cqj7hrG5i4OCw+H8jB9t1pud6vwqa+i+3w2zqqQjZAqLHzYHYCmQYfX+n3d+L+fZv/RjawfjqtQewlJ+CSEEEvF7uHC427k9tsLTAcd+PUomr1JAwUzdLK1QbXHAiqf+lVf1GJz8HqVT6Xhk9utdgaPHrUe/+1vw/S0tZNohlCdnTA0pIKl6Yr+1nv2lIddMuxuidjcDHaO8cju3uKivROb1ZWSM6bhsDrAC3QtoJNnq3H4cTkyeHQVuPkz98H976WnByYnaz+lGD6VVD51ekPYbTMnP0cn1P1m0Fu9Lcabxjn/KUGl4bhYDTKZ8qrBbN4JGeMLLlM+5vUdH9rCCe98hFNe9kG2XrWbu24Nz7ju6IPf49X/+w3G7/+/hm3vrff0F6+vPe8KaxY0mwvdleINl/wvNqde9pwHH4QDB9R1swozGHKVh0/ffx7E9jdsO5vZ7ofGefanf8HGtRFe8IKV3pplZtfp8Ki/21CoAEdvVcsTIxDeAT1nlj8+u0pK4jIR0gVVIbyQhuOmDq/1+7pz96kcOLqBjeuXvnpMwichhFgqDg8nrH2YdFrj4ccC+PVo81aztFvlU2F+PZ8CARUmmZVP9cIns/TfDLb6+tRBuln51NtL2TTy73gHXH01fOIT1hT25o41QC4HxxxDcacyn1cH0FL5tATsboY6R3lov9XQwAqfrP/wSFhVQXWshvCp43gAugLqyM6nx2DsL3R2qlkca4lGVfjkcljlfgFPhIlQ94wvFZpWyVBnZ50HFCufFhE+ZWYpKxSihWWy5eFTIuWqGz4dOOxmfe8Brv/8P7Dbsvz0lzNXFN7wxx6+9bdX89ZPXtaw7e3yW4HX8PqSz9PS7zZ7efh04omwRs38bgwNyhGMlFc+Xfyxv3B0766GbeeKyaXhzn+FSL2xyvCRjztIpnV+f/199atG25VdL1bmhkIaZIJq+fQ9qj9gR0UPrNwqqXzKhEnlVfi00MongM4uKwban34K+4PHs2HL0k/JLeGTEEIsFbuHYwbUTsW9D3cT0CPNGyiYoVNbhE8uyGeqK59saXjoY5CrHlOnaar6abbw6ZFH1KUZbPX2qvDJfHzljkBXF1x1FTz5ybXDJ3OH+te/VpdmTw+XXSqfGs6ofBqZUqU3TnuaveNG+JSzgpRwWB3gBboWsVfXKlyd4NtIp1e9SXzuGGSCeL2U9VgpFYuB35MoDrvz6xHstjyZ7MyfbdGI+uMO1MuWFlX5pP7PMulV3JVYtL1sVs00aYrGnWTixuydWSN8ymfhof8iEs4z3HWEF70wxxO238yv/jRDcpEJ05FVw+0e2Nm4aT7jcSssMwMlQH1HmyrCp1KaBh5XikTKURY+ARx4LNiYjVxJ4Ydh5//Ar7ZWj8c3bu/cZefMzXex/ZTVMP1qBZvbqnwKY+27hR5Wl5Xh02qofCoUIBttSPjU0d9XvP7YHjdHjvawcfPSn3ST8EkIIZaK3cMxgyp8CobdBDwRNRNbMzJDsXaY7c7mhHy6uufT/i/Dff8Pdl5T82ml4VO9nk+ve53aib7gAnW7t1cNuzMrn2aqrjJnENlfMlqgsnFqcT32ZPMGla3K5mKw05pu8OztO9h79Bi1j19S+RQ2ZqbsWA3hE0DXKXTqqvmvzx2DdAivl6qDPVCVeZOT6nHmsLuAXl5xodWZUyESVX/PSxM+qctsJj/zA4VoYZmMjYDXSoX/dMeJuNZfaNxpnGU58GO4791ExkfVPodnDU86/q88sLOv7kkVHvhQ8f3+yL7hhm2vGT5997vWCRugPHyyzfw563UnSSTtxe1792v+AkBs6mjDtnPFpEvG4Mf2ld93wwlw2+vYe8DD5oG94F23rJvWFBxe7LY8PneUcKjAdKyLV335m+wxTxoFtpU/flWET6qCOJVVZ1cXEz65XOr92denTjYVCks/0x1I+CSEEEvHrrOmawRdVwdEfncrDLtrl55PmWLfJbNxsnPid8b9tQO2gQErDKq1k14oqNnqXvMaWLtWLTOH3dWrfCrV3692wEvDp9ID/Hy+JHySYXeNZ3cz3HWkePPsS08mHA9wxWd+Bnmr8ikSVbtGTTszZaN1nUyXW03D6HdHi5VPpX+boRCceqr6u9+5Ey497VZOXv8AACPB4aoZ6vI1MqBIXB1w1g2f7I0YdieVT6JNFQpkcxp+b7rqrkRat4bdJVXAHkl4VDBs97JhSDVwO1zd21sZv5GY+2wAcnkHqUQO7n47xA4uapPjcfVZ+tznVtxRGjjNUPkE4HGnSaScxKPqvd3Xoyoo49Nt0HS8NHwqHTaZCUP4URKPfI+RCT+b+/ctaBbQlmdzwgsidPpihMIab/j6l/n2Ta/iOze9Qu2rVgZyq2HYXd4InzJq/3Ax4ZP5PX3aadYyCZ+EEKKV2T3YbAWO2WRUCHhk2N2yMCqf1qxRYc+ePWqxa+oPxpXa5etm03GoHT5lMurL2hzOB9awu7lUPmmaGnpXOuyutPLp8OGKyqd2+L9oJjY3J6x7uHjzyiuhryfJL+56DsFJY7xjPks4rOFxxYuBRttz9fJvl32Oyy4c4Zln/ApyyarwafduuP9+OOkk+Pzn4cqnfZfnn/vjsnXc9pELefzjVUhbq19UJK4OMutXPhnN0hYw251UPom2l0uSyTkJ+Kq76u8d32wNuzMuI8kOtc9hd7NuSL2ZzQk1qmSjxLLW9+LUzn/Ao1fDP15S47FxGPsLfN8F4Zn7LsUTKsDXK/Mldy+c9AHY/lboPnXGdXjcaeIJJ7Go+ozu71VfkrHgzA3UW0E+McXVN1zFVLS7PDgxmqnvj6nZ3DafevxKbF5zcPrp9McJhpz88u5nAfDY2FbY/HLQKmKMVVT5lM6qnc3FNBzPGedqTj/dWnbWWQtf31xJ+CSEEEvF1QXAKceps1u6s4mHUrXVsDtV+WS3w/El+2x2m/FNW6h9gFo6C1etYXeVzcZBVT4Fg1aINNtZqA0b6g+7+/d/t0Ivl6OJ/1Zald1drNYB2LYNvv8/qs/JbXcYf/e/PIbwyF46vNGV2MKV4fDytNN+y+++9guedeavAKp6PkWNX8d//Af867+Clo/jcmS45/P/xF0fOQPcPZyz+Sb++fWqT0nljI4UCkRi6s1RN3wyDyQW0fMpm5XKJ9GmcgmyOQcBf/Xf+K7RY63KmZQajhZJ+I0+k27WD6svtIP1CpmyUWJpq7LGnHShsok5AD/0wZ8vVjOEPvzxGTc5nrDjdSeqh+JqGpzyQTjzM3OofMoYlU9G+NSnfv5YqPU/o+9/wMnbr7taVd+WBidG+PStHdcCsPlJL16JzWsanb4Eu0fWkMyona/7Jp4O53yt+oGrInxSf/+NrHw605g08MlPnmFCkAaS8EkIIZZK7zlgc/OC838PwF17z2z+nk/tUG1jVD6BqtQA1Vy6uAOcr93Qqc/qvUg2Wz10yKwEKZ3NrrdXXY6qUUuznoVatw6OWCO/ius84QT40Y/g0UfV7W7vdHv8XzQTu4ctA3vKFp1zRhSbluMftxkHQPEDRBKBsimI257dSFPTweIir6dQVvlkhk/mUFZyKpk6bf1tnLH5HnCpN0J3lzpAnKocEZPPEE2piqa64ZMZCi8kfDI+vrJpqXwSbSoXJ5Nz4tGrZ3T8xK/fxeSUMWQ+rhKmaNIIn+xu1q5Vz6lb+ZSJEktb77twyHgfVX5XVjbFPnLDjJscTzrw6nUaKM5RMXyKqYqPvl518B2P56q3p8WEg+p387dHLyKfLvnOie7jzw9ezCe+oPpvbdtW69mrR4c/xQMHTgTg5OPCPLK7m7e8zc5b3gJv+c5neeu1n+E3916uqvLaXXHYndrZbET4tG4d3HabNfHNUpPwSQghlorDBwMXcfmWzwLwlJP/0LzVLG017E5VPlEoFMOnTK4kFaox2x1Ad8VM8ZVD72pVPpnh03vfqy7LdgRCj6rtKDEwAOPj1j6zWfn0tKepy3vvVZfrew82799Kq7Lr2G3l4USgw8EJax/mrvuss+/hREdZU9+2Zw53K+k/4nElysIn8+/Ub46IM8Kn4tTXbvVG6OlU762qyqd8kkhCHdwWA6xKZvi0gJ5PTjN8ykr4JNpUVlU+OZzVvehu2fV4rv7ZqwDIRY7w4Z+9l0zORcATBc1BoCdApzdUu/LJmD0rlrKGu4aDxpdfruJLMFMxnjY5XjwYJvggTN5Rdnc84cDrrtflfG68eoZEylXs+dTfp748Y0mPNdSwRU1NWZ9XpRXRxPfzmd/9O7pe4NFHy1sCrEadgTS5vNo3/ZdXjNLbC9/5Dnz72/Dtm17JNX+8kjd/639WSeVT43o+mVVOLhecc06N4bFLRMInIYRYSn2PQ0/ez9RfP8jnX/m2+lNBrbR2ajiuOYECFHJceikMD8MzTv+VdX+d8Kmrq/z2XMKnM85Ql+YwveKOQPwQ3HA83POOsnUMDqq+TmZPHPOgfsMGdXnPPepyXY+ETw1nVPj8/QOP5/++/CW1zObiuOFH2bnb2uuKJAN0rKbwyax8MoMkwBv8LamU1ROiqvLJPMNszrBlNH7t9qrGxlWVT7kUkWQAnzeDre6ep3EgNsswnFocDrXSpmo4ns9QmLynZvN1IeYtlyCTc+J0apx/vrXYb3xW7Ti8GQoFbrhpO+//8YcBVIiuaeDuZ33vAb74Rbjvvor15tNQyBJPWyW9ETN8yld8CaZqzDCXUu957n033PGmsrviSSdevbpB+nx49CzxlJt4zGg4blQox1I+SLV20/HpKatyKxmzfk+58AH+8MAlvPGNGtu3r8SWNZfOgHUS78UviDI2pk5wBIMQ3HMfH/uXH7F3Ygvj461dCTcnhSy5vI2v/1j1lFhMz6dvfhM+/OHl6fNUSsInIYRYSsYMJd2eUZyuJg2eoL16PtmNb+N8htNPV428f/X/Xm3dP8fKp8q+T7WG3W3fDldfbd0u7ggkjHF44zeVrWNwUF2OjZWv05xh5J57VBXHQGC0ParQmokRsjx+2y086Txj/IndzfY1O9izXydj7N+GEx0E9NZvZjtnxWF3RiI6/Ay86XsBK3Atq3wqFKzKJ1PXKQD0OFQD4qrKp5yqfAr4MtRllgNWNpGdA3PYXSbTRAcf97+fZz/lIPY2yPNFE8glyOYdOBwaN98Mz79E9a/76tuv4Xln/5gHDp4EuTjJuPUeC3iNLzHPMFec9TMA/vd/K9abVclyLGl9sYVDRjVTLqlCpYc/qW7XDJ/GjfWE1b8SKnya4T0/Bx49SyLlJh7PY7dl8fqdOJ154ilv+WxxLWg6aH3WJeNW+DSyZ4RM1rXqh9uZOgIqwfe5o3T3VZycGLyI816kGuPfdm/vcm/a8stnuXXXedz1oCqHqzuMfQ7WrFFV+8t9TlzCJyGEWEpOo5Q9Pd28/Z6gvYbdmb/nfOkZVw02vkhdNrDyCcobNBYrn8zhdhXVS2ZT83Fjf72y8mnXLjX+3kZaKp8arbSixpzq2+Zi25qd5HK24qyI4UQHHZ7gsm/eirFXDLsLHIPXrioKzHDUrHzy+6muhoDijFXddjWbYPWwO1X5VGumrpIHGZcLCJ/MhuPNNNtd6GF+ZczOJMSi5eJkss7iSaxoQr1v/Y5xTtlwP4+NbSUWjBCOW19QxfDJu5YPPf8DnHFKjL17K9ZbDJ889HSr761iz6dcCh7+L7j3Xep2afikG19myQljPfGqnjvxpGvx4ZM7RyLtJh4v4HXF0Rw6Pm9OVT6lW7zyKWjtbyUTxu8peZQD+9Xn5HJMe98KurtU1dvGvv1oDm/V/WecqeGwZ7jtvoGq+9pOIct4WP2ct95qDTlvJRI+CSHEUrIb41TSweYOE9qp8sn8WUr7LeXToA+qadyXMHwqVj6ZwZetvCa6svLJDJ9KdzLXr0eN62+HILCZ2Ev+4+wl4dPQTgB27oSR6SH2jB9Dh97aZ9TnxVEx7E4fwOtWB5Fm+BSLgaYV0N15yNSYZcqzFtx96OlH8HhqDbtLqvCpxkxdRZ0nG+sanv+PYA67a6aeT25rBoMW74ssmkEuRSbnLP6tn7Q9CMAm1w2cvP4BCgUbjzwQZSw0WHxKwGd8DxnvqS3rQ9XhU8YMn3SGBtX7MxIxG46XfAn+wAsT/1DXN70UHn+9up4yw6cY5CrCp5Qbr2emwHl2Hj1PIq0TjxXw6TGw6/h8xrC7Vq98Clv7BykzfDp6C/uPqh0C86TUaveaFx7gY//0br78mjeoXqoVvF7YNHCIXfuWYaq2lZbPMhXrAVTlUiuS8EkIIZZSaeVTM4dP7VT5ZAY+pZVP+Yz6/dv1urPdLWTYHZSHT8UhNmbAVafyqXTYnaap4Mts5rxuXcn2isYpDZ+KlU9utg/vANRMg6/+yjcBGO44sNxbt3KKPZ+MYXf6IF6X+mM3A9fo0TH87gjajk/XHnrj8EJgG4R30N1du/IpmvTPHD6d/AG45CboO2feP0Kx8qmZZrvTrS7BlUG2EPOWS5LNO3C61KHbR9+5g9s+dA4nrX+I/n719z89EWU0NFR8SqDfCKI8awHYvGacvXsrZnItVj656O0p4LBnCIeNcTiFkvdrLgE7/0ddP/tL0GWExfHDcPDnqvl3RcPneNKNV19c+OT15IinPMTjqM8lmwqf4mlva1c+ZWNMBa1u0cmE8XuavqcYPknlkzK8qYt3P/u/uOC4m60JMipsWTPKnsM9y7xlK6CQZTJiTPDRoj+uhE9CCLGUzLM0zR4+tVPDcfNnKVRUPtlcKnyqU/nUWXHSbCGVT0U5Yye8Iszr61NhU+mwO69XLcsa+56nnmpsezP/vbSismF3RkBpd9HtC7J2MMYDD8Deic1sX/Mo73zGx1ZmG1dC6bA7zQ7uvurKp1BcVR1M3GyFT8Xfp6bCvI7tEH6Enp6KyqfYQXjwI0bl0wwlQDYHDDxhQT+COQNYNttEJUYlw6wjrT0pl2gG+ZQadmf8rbuOuYJzXvMBePZ+Os5VE1uEpxLllU9rj1NX9AHQbGwZPEA6DUeOlKzXDJ8SLnw+jQ5PmHC0zn5APqXe6w4/uHoADR7+ONx0hZpkI5e0Zq0E4ikdr2dxkwCoyicPsZiahRO7jtdrb/3Kp0O/YjragcOhfl/JhPF7Sk9zYHorPT0ls4uudkZ4CpSfRCqxeXiKvSOrYdhdjqlYDy5Xrv7MsU1OwichhFhKDmPvIRNs7p5PxfCpjSqfckblU0HNfIfmLA+fUlOqkaqxs1w5Ze2iwidzaFLFsDuHQwVQpcPuzB0Is9Lq4ifl1Ta1w/9FMykdUmq3Kp8ATtk+yf33w8j0Gp566u9wVf4nt7Niw/Gg+n04u4qVT8WeT3EnfncU8jlrmI15QGDXjfK9UyA5Tndnulj5FLr/J2RvOAcO/Vw1HA8sTThUrHxqpvCpZMhStMZIRSHmJZdSDcedxqGbwwNrnw6+DXR0qe+ZcDBdFj7Ze05SV2wO0IfY0v8YQLG/HWCFT3EHPr+NgB4hEq3z3ZNPq+GkmgY2FVRXVUKWTEYQT3nwehZXjejxFMjlHUwH7QT0iBp259eIpQKtPdvdoZ8znRhgaEh9dqWSxu8pE2LPxFYZcleqdCh2nQkptqwPMRnuItzuc4UUskxFe+jpyjTt5NmzkfBJCCGWUqtUPplBRzv1fDIrn8zeT/aSyqcdX4B736kaqYYfrbmayvBpLsPuirJm+FT9f97XB0ePWuusPHt1+qnZus8VDVLScBzglG3j3HcfRJIdrBnIwGW3r+DGLTNzGINZHejqrq58SjjwuWMqxDUPNr1ry59vzHjX7QsyNQWFdISuU5/Hqz7/KcZD/RyaWseaocVVQdT9EYwD8qZqOF5SYSmVT2LR8qrnkznsrlSgU31XRMIZxkKDnHXSKG975b1sP/8860GeYdbptwAVlU8Z9ccZTzrw+e1G5VPFmZhS7pKxPp6h8opSsJqO57PE096GhE8A45NO/HrU6PmkEc8EWrvyKbKT6cQgw8MqQUga4VMmEeMfj57Fueeu5MY1GX1w1odsXq9Cz6qeZu0mb4VPrUrCJyGEWEpm5VMh19xhglkJUjmFeiuq7PlkXmpOsBnh013/Bru/rpZnap8qq+z5VK/yqaOj5MahX8H3XZA4bGxLdZjX2wuTk+q6OewO4A9/gGuvBbtNwqclZ68In44dLd615rjj1RCy1aL04NHuBlcXHqf6Y7dmu7OrA7/S8Mk8G21WThk9YHq840xPQ/jgIwB87+8vY/DKcZIZD6eevDQ7zOYMYJlMc1Y+SfgkFi2XJJtz4HBWD4kLdKnPs3Aoz1hokPPOivHpb52GzV5SGrH19fTlbwSskx9A8fsvFrfh89lU+BSrCJRKOUu+8M7+ElzwU0AVGG9/+6N89nN2eOyr8JenEE95q07WzJdHV+/piSm9GD55vRBLB+DQzyBZowddC7jqmtez89A6ho2P0Vd9/C288IXwq7+dQCTh59JLV3b7mopt9nYQmzep75Z9e5bmBEfTKGSZjPbS07W4XmorScInIYRYSqUzczRzmLD5leoyHVzRzWiIytnuzAoos+F4ZcCWqX1keNtt5bfrhU9ltx+9Wr3uyO/V7Ro9tEp74pQOu7v0UnjZy0q2W4bdLZ1izyd10HbWCVaD8TUD6VrPaF+arawBe83Kp7hmhU/JCfW55jRK/syeUXo/6EN064eZnoaj+3ZXvdQpJy9NZZI1210ThU8llU8y7E4sWrHyqfo7xeXx4HYmOTppJxjvZrC/xoHp1n+mZ9u5aFqeoxPG+3DiH3Dnm7h117kcPWrH59cIeOOEEzM0k7GX3Nd/PgxcBMCDB09i58h23vYfPbDj82QO30Qm58I7dOxifmq8xstNTPmsYXc+iGV6VRC++yuLWv+SyaUhWqcMJxvn13c+GYB3vcta/MMfwvM++AHsthxPetIybGMb8Xeq76FEND7LI1ucMdtdT7eET0IIIWpxlHSMbOaeT4NPhIv/BOd9Y6W3ZPEqK5/M3k82lwobKiudSm6XnqX98IdhZMS6HY+rvlC2im/OsnH3/mPU5dRdxjZUV3qUVj7F49XD+IrPaeawstWZYYsR8B1r+1rxrjVDrVvOvmDm0Dm7aibsdauqnWLlU8xePuzO3W/9DksbwOr99PiOEo3CyN5RKh1//BJtflMOu5PKJ9FAuZSqfHLUqAKxe+nwhNl9sAuAwYHa7wPHttfS7Zu2gmHje+ot134OgC1bIOBJEE0a+y2etTB0SflKnBVdsI33/2/uexoAawbTQIGx+FYAOvsXNyVX6ckdvx4FmxufD/Yc7mPHyHFVM+wtWqEAoYcXv54dn4NfboGJv1fdFZs4zGNjW/ngW+7llFOs5du2wXfe9k7+8vkPtexMZktmzWXQfVrdux0eVZGXTbZ50m/0fOrtbt0KLwmfhBBiKdk9gJFONHuYMPRk6Dxhpbdi8WaqfLLp1Q1Ss9aR4eioqkr6xCfU7dLwKZGornqqVlF5Ed0Nj1wNU3cXF5WGT9PTNXpGFcxhd1L5tGTMYXeamqlNC95TvGvNYOueUVwwM0CyuUDT8PrVe8is2InFK4bdufusv9PS6k6Hn26vKuvb+Wj5zvHGvn24vTMM51kEq/JpSVa/MPmSyqdIE1VkidaUS9bt+YTDQ4cnzK6D/QAM1muRs/aZ9HVGOLrnUchni0NuR4NDPOc58MY3gu7Okczoqmr3ikNw/vcrXqsifDLOvvzlYVWqk0prEN3Lbw99EGDRFTwej3V2x++Ogs3Fli3q9tuvu7os5G2I3V+FG06EsRsXt574QXV577ur7nro3iCFgo1TT7OXTXTyzGfCyy/4LhecNVL1nFXvSb+Dy++pe7fDo3akssnVUvkk4ZMQQohaNM06OJMwYXlU9XzKWMvtNcKnksqnQAC6u+Gcc9Tt6ZJ+pnMKn1KT5ben74V73q7+GXp7VT+peBwOH4a1a8ufYg27a/KwspXZSvb4jb+Xdzz9kwCr84yzOXTO+L10dNpZ2z/JJz8Jz342HBn3GpVPWTXbnbtPTd8OcNxV1nocfnq8aja8ncaBMMCLHnc9ez+72Qr9GsyqfGqikKe04Xi4mVIx0ZLyRuWTs8YUV3YPAT3CrsPqy6Ru+GSz0z/oYmLaq76rsjEKBZiIr+cYo2hXd2dJZdzW96iru3wdjtpD8naMqD55U9NOXvDpb/Ff33kqGzfCSSfN9wct5/FYh6p+bxI0jXe+E044AcKJTut7vlHGb1aXsX2LW485K1t0T9Vd99+rtvmUMwLY7aBpqlLN7wfSofK+WmJOHN4uQDVsb2e5bI54ykdHRxN9182ThE9CCLHUzJ01CROWh1ZR+WTunBZ7PlWcGavRcLzb2N8uDZ9qDpGrlK4z9XPJlNBmuHH4sFp/VfhUkIbjS640BDGuf+LF7yL/XQ3NsTQBSVNzGKmq8btw6D5+9dEPsXUrHDgAJ20d5/JTf6uqJWJ7wbsOjn8HPP0R2PC8kvX4Wde9H4A7dhxXXOx2pFSBhG2pK5+aZ4c8m7aGb95/f55zzs7z4hev4AaJlpbPpMkX7DhrfS1oNjo8UfJ5NSRvcKj+4V1fT4ajkT7VED8bI5bykUjYGDCyZLeroCqfikOTbfCSAvg2qtuVlU9AIq2z/+hGTlj7EAA/vv0F6B4b73oXi54O3ustqXzyqConTYP16yGZ9ZQ19m8Isydk5Sx+82X2kkxNqKF8JfbtLWDTcmw6fgiAQkH9f/m9GbV/4qwshxazcehq5yybbu+ejebQcmetELpFSPgkhBBLzdxZkzBhedjrVT45a+9Q1mg4boZPwaC1bKbKp1BI/VOVTzV2CjLWinp71eUDD6jL+pVPUim3ZMyz+iXXNc04ULKtwvCpOOzO6uN0+paHuOkmuOceuOu6z/PMM36thpGmJqHrFNUnqvO48vU4A5y8Tg2N+L/7rLnCHXYjUF2qyiejCXMzhU+Jkoz7uutt3HGnje9/v8mGBoqWkc2o7wVHna+FDp9V8TE4VP+7oxg+5VKQizMeVtOtmeGT7s6r8KnyvWp+Njj8/P73sGaN9f24e+wYCgUbl5z0JwDO2nIHD91+kDe+cX4/Yy09PdZ72u+xggWPBxJpT+OH3ZkVi4sNn8zh/Pk0ZMv7EE1O2ejxT2Fzlr9GwDmurkjl07w5m/A7YClkMmq4nXnCpRW17pYLIUSrKA67k/BpWdStfHLVCZ/mVvk0U/jU0aH+kZ5SMwBVKplF0Ayf7r9fXdYNn+TvZenUGHZXtEQBSVMrDrszZwH0lFcIZo1qALOyr/vU2utx+OnSj7Bhg7XI5Uhx5SXXqBva0ux2FofdNVGwk0xZB0HxhPVeNmfNFGI+Min1vVCz8gkIeNUfVkAP4/HX/wzr681yNNJHIacqnybi64CS8ElX4dOjR47nootg3MhDKBhNzB0+XvlK1R/xgQcgn4fbdqug+SWPv47/fN77+fWXb4COxswuMDxsNU/3e8vDp2RGX7rKp/wiP0xKT2qlJsrumpx20tsRqnqK33ZIXZHwad4cTjN8WuENWWLZtHo/1Bx+2yIkfBJCiKUmlU/Lq17PJ61O5VP4UTV9fAm/H+z2eQ67KxRUVUjvOdX3ZcIw8gco5Ksqn4aHK9cjDceXXNmwu4pEcTVWPpXOdmfezpWkJLmKxKTrFGpy+CETLc7gdOqGe0l9W+eMzfUbxTaCzW5H0/JkmmiiwkS89sFBvM374YqlkUmbFQ+17+/wqoqdoa7RGYe39vfmSGfdREJZyMYZj65Xy40WbbquhoF9+68v5G9/g099ynymOuj9+33HMDamllx4IXR1weu++nUAjh9+hPc/98MMPvl9ix9vZ/5cndYP7PdZb3BdX6rKJ+OzrqRn24KUVjtV7F9MBt30dlRXXPu1veqKS4bdzZfDqf5O2r3yKZs1ht3VmnigRbTulgshRKswx+9Lz6flUTnbnXlpd9XeKR//K/xqa9kiTVPVT/NqOJ6NquDIs6bGnQX4y2Ww8xr6+tSS++5Tl9JwfAWUBkz+zeX3rcbKJ78xfZT53rF76odPvk3g6qq9Hocf8ikueII6UN6+ZkfDN7UmzYHTnmmqA49Esvzg+4Ltf1PLpfJJLEA2rU5K1Kt8yqFOumwb2jnjZ5jZQykRyxIJ5/jgD98BWJVPbl0dxPd0qGF8//3fcPPNQCFPIq1z6aufUba+iJGhfPsNr6DDa9yw2ef1s81EK/lZAn6rCsrjgWTa3fiG42bF5+6vwp5vL3w9mQjoRuf3ysqnoJfezuoU2l/Yra5I5dO8FSufmmnSiSWQLQ67k8onIYQQ9VQe2ImlVVX5ZFzWq3yCukPv5hU+mTPduXrgRRnY/Irqx0R2FcOn3bvB5zOG65WSYXdLr3SoXWB7xX2rMHzqPkNdxozpwe0ea6gdlIdPtYaVmpyqyvMdb41w5JqNfO9NL23whtah2XHYs0015CJphE/Xv/lFHLn2ybzp0i8CUvkkFsbs9VIvfHrq2Xdy0roH+PJr3jBjvyKHy5wZMs2P/3wqd+9W09EVK5986rnTsa7icy64AC7/z2/yg1teSCLp4KtfLV/nQMcYL3/CtQv4qebAGShe9futA25V+eRegmF3RsXT+I1w66sWvp5sxNr3q6x8Cvvp7aqurAoUHlFXpOH4vDlcKjRtpurXpZBJq3DNHGreilp3y4UQolUEjlWXJX1/xBKqV/lkc9av2Kihu7u84fisw+7MfjjuXjVkzjwAKA06NDVbkTn0bu3aGqMTZNjd0iutDKhsmr0aK596jPAp9KC6rKx8ypYkJrWGlZqMIcZaNsyazgPLt4Os2XHYmit8SqTUz97lDbKm4wBet/odSvgkFsKsfKo37O55F93KA584hXV9IzNOVlEcnpTJMhW0PuvM7zbdp86wTEdUr8pDh9TMcr+754m87bufIeDP8vKXl6/ztM0PWt9j3vXz/MlmUVIF5A9Ynyeq4bibQnaJht0tVqYkfKqofJqKdNDbXV2x5c+p2QKl8mn+bA6139dM3wFLwRx2Jw3HhRBC1BcwhnTF96/sdqwW9SqfbC4IbKv/vIrpkBdV+QRWBY2npKlTQQVhg0Y1ftWQO5Bhd0upWIVYEjBV/k2sxsqnzhPUpVll4PCWNxwvPSBb+6z663EYz698L/ScBed8pTHbWovN0XSVT4mEGgaiO5OQi+N1xY3lK7lVolVlilOs13mA2bfN5p6x31JxVrBUhpGjAVzONJOT1v1unwqdpsMe7Hb1HfWQkYkE492ce2YUd8VH5KkXngInfQCe9iBcfu98f7SZOTsI6Koy2R+whvPpOuTzdrKZBr/pGxU+ZSNMZ7YwHllHIXm0uDiZhHjKS29PruopfqfxHyGVT/Om2Rw47emm+g5YCubQcun5JIQQoj4zfIpJ+LQszMonI+gpXtqc0HFc7ecAZIJlN7u74fbbYYfRtqZu+HTkd/CPl1mVT+YBt1lB4y1JmJKqU6sZPlU1G4eSyicJnxrukhvh/B+UV5WZlYmm1Vj5ZHPChb+ES25St83KJzOQzSVgzWXwojT4N9VfjzHsjpRxsGW+F9ZfAVtfvySbDqxc5VOhAPEjNe9KGpVPHlcCsnF1iVQ+iYXJztJwvDhxwgxD7sDqjZNJZzlytJt1/ZP09Fj36371Hp4K+4vVUIEA9HWoYOT47eVvsg9+EP7tnf1wygeh60Rw99BQDh8XHqf6pXn9VhWx+V2cSDSw983ub0JyfPbHzSaf5bq/XUHPEz/E4BsO8oEvXlC8a3JC7Y/09FRvt183mpRL5dP8ac13AmIpZDPmbHetG+G07pYLIUSr8G2e/TGicczKp1y6/NLmKg+CLvgZPP0hOOa16nZirGw1Z56pLt/zHnUZj9cJn0Z+B/u+B4kRddvdW74dnvrh08yVTzLsruG862DjP1UsW1t+tn41Vj4BrHsmdBhVYHaPmlrd/FvMJdSy2QJRR0X4ZL4X7DONV22AYs+nZW7CuvML8PO1EHq0fHk+SyKt3v8eVwIyQal8EotiznZXt/LJfI/NGj4Zw+7SGUamulnTGyq73wyfpmMdZcPMzfD0uIrzN+95D6xbN4cfYKE0G9e/9Z/5y/97Ir195cPuwOqt1hC3vaYx68lGeWxMnXRc2zvK/TuHindNjqqm7L291Yfgfj2qvvcrZ2AVs7M5mm7o9VLIZKTnkxBCiNnYXWrIyaU3r/SWrA6aUZpfq/JJK/naW/8cNdxo40vU7eRo2Wre/nY4+2w19C6Xg3S6Ts+nlFHxFDVmqjGrPcyvWN3a8TTDpyFj0Yzhk1Q+LZ/uU63rq7HyqZJ58FOcdjwxtwOiyvDJfC84liF8WokDj3GjUix4X/nyfEpNA4910C49n8RiWL1e6jygOOxulvDJZfZ8yjEy1ceavmjZ/W6/GvI1Fe0p+75LZ9X30fbt6vv16qvh3HNnCMMaKNCh8cQTbrQ+X1DD7qB6VskFK+Rnf8xcZSLE015czhwnbdrD4QlrGN3UuJpFsKev+hfncmRU1dMMwyZFHcYJiMxyn4BYZlblU+NmlFxuEj4JIcRy2Pp66Dp5pbdiddA0VXVU7PlUEeZseQ2sear1eHM65GR55ROoGYDCYdWnAepUPqWNxlCRx9TOsd2oeDJDL3ef9djEHCqfpOH4ylqtlU+lzANZs+9TNr6w8GnZKp/UkItMZpkPPMwhRqmj5ctzVvikO9WHhwy7E4uRSc/S86k47G7mzy+ny2o4PjI1wPBAefikB2qHT4P96ntp2/Eq9bnqKrj11vn8BItgDkMrmfmu4ZVP5vf4qR8Dd//i1pWNEE958XpyrO2f5vCENRQxNKU+B7p664SE0u9pYTTb6hh2Z/Z8kvBJCCGEaCI2Z8lsdyXD7gDO+zo86bfWYz1GGVJ4R9VqOjpU+GQeMHo8QOhh+PtLrfWnSyqfXCX9Lsz7HR4449Ow4YWqr1QuZYVPwwW48y1w9Nbq50nD8ZVROjvharXQyqdizydjdqflrHxa4rPeX/oSXHddxUKXEa6lJsuX55LEU+pn9rlVpYMMuxPzkkvB318Ckd3w6GfIxlTAOWvlUzY242odLvW9EgpphBMdrBko/4PUfer+YLy7LHz62W8GufoTMdZtWoEhYWb45LDCJ6vyqUEH4Qmj8tm/BSipglpIRVQmQiLtwevJs7Y/zFiwuxiKhKbU7HydPdbv8brr4I0vvFvdsMv3z0KthmF3WRl2J4QQQjShWpVP9cIcVw8MPBEe/DBE95TdZYZP5gGj1wv8+Umw/zqI7lMLSyufzEoPgLyxF6Q54Li3wTpjlrDILi6/HN74Rjj91DTs/Dz84XElzzOmjpbhX8vrqXfCyR+SIQ9gBU1Z4w8/G7OCpZk4u9SleSDXcxYMPlldLiWbHbcjRTq9dP93V14JL31pnTvNfm+mfIpYSs0aVgyfZNidmI/xG2H/9XDHlXD3VWRy6vurbuXT8NOMKzO/B8xhdxNH1SFgT3f5rGt6SUFOaaXvlq0Ornqnb2U+Hs3QqVblU6pBh7LmsHt9CPIlv5Ncqvxxd10F12nwy2PhhpNVVWilxAjxtBevF9YOxsjn7Ywaqw8F1f5IZ6+v+PAXvxiu+fDt6kYjh/+tMk7HCvT9W2bS80kIIYRoRrUqn+qdUdQ0OOU/1XC3ivCpsxNCISt88niwZsMxh9WZ4ROF8sqnQkXj8K5T1GXwfoaG4JprwO2s2LEFyBlj/GZpHCsarOdMOPl9K70VzaG08imfUYGoYw7hk8On3nuJw+q2Zwie/CfwbVi6bQXQHOjOJMlU/SqI8XF49asbHP6YVSbxg+XLcwliKR82Wx6X8bFjDr+TyicxJ2YIYaQ9ZphZN3zqPx8uvwcu/PmMq3UYK4hG1MkR3VP+nnGXnPOo2eNwJcxY+bTI4em3vhoO/cIadq8PQqE0fCp5wxbysOMz6nr0MQg9CGP/V73O2F7iaS8en4O1Q+r5h42PxHBI/b929PjKn2MG9xI+LZjDnisPn8b+Cne8acW2ZymYlV0OZ+uGbBI+CSGEaD/zqXwCq0lrxVnOjg7V7+m731W3Pe6Mdac5Fb057A5qVz6ZvZs6tqsD8+D9JetIVm+LubMrM96IlVLs+ZSArNETZi7hk6apoWiJI+r2cgWomh2PK0FihvDpPe+Bb30Lvv/9Br5uLs7nf/ev2C/+Be99x4S1PHWUeNqLz5tHc6jfgaaBx52UyicxR6rCwfz++r+HLsbpyHDaaTM8pfs06Dl9xrWajYqt8Kk8vCmtfGqe8GmWyqdCYWHrzedgz7fgb8+xqjU9QxXhk/EdnTwK19f4fKkc5hjeBQd+RDzdgddnZ+2Q2g85dEjdHQoV0J0JXP6K3k6ubnVZKK9EE3PnsOXI5kpCmSO/hV3XtFWgZ/V8WuENWQQJn4QQQrQfrbTyyWw4PkMvBbMqKl8dPgF85CPq0lvYb92ZjRuVIWlrWVnlkxk+Oa3LjhNgujR8qlX5JOGTWGHFYXdxyBjhU8mB34zcvRA3TvMvY/g0W+WTeca4ocOGsnH+9NAl5At2bv5jyWyZiVFiKR9eb6Hsfex1JyR8EnNjhBA79/j4yM/+H9+/9UU88eQ7i99JC+V0GZVUUfWGcHvKvxebM3yq33A8kfFY3/H1jPzBGiZfKl3Sq+2RTxiv0Qnk+eaNr+KbN77K+j6O7a297sphdzc/D47eQiLXhdersXmj+o5/bJcKQEIhjU5vqDrML4ZP7ROULLeqSSeKPQtr7Ge1qKzZSrSF56OR8EkIIUT7sZdWPqUBDWwzNCY1ZzjLpcsWV+7oe3Il4VMuUV71BOAtmb5u8yvV5eCTSla4XZXrF9dRo/IpmzC2VxqPihVSOuwuG1HX51L5BEYAa1QizDLte8OYlU8zDMExiyMaGj7l4uw5ejwAY1Mlv5/kGPGUF5/PZg27BTzOJA8+CNFo5YqEqGAcOH/w2tfwvh9/hMPTa3nFvwwverXmQWs0ot4Qbk95b8FWG3aXTOtVJ42q/OUy+PVx1cuTJdWKyXHwbVIfEIUcr/nKN3nNV75pfUfXC7jMGUHzWZj4B6x9NgDxtA+vF7p6nAx3H+bhh1SYGI7Y6PBGQas4BJfKp0Vz2PPllU/F/7sa+1ktKmMOu5PwSQghhGgipZVPhYxVfVSP2dy7Yie2s6Iy3pMv6QmVjZf0ezL0n29dH7wIXlIwZs8xODshE7Zu19ppzidVxYg0vhYrpTR8MiufHPOofCquZ7nDp/oBc768hU5DFDJx9oytB2B8uuTDIjlGLO3H67NZB86AjTQ33ggvfd5Y4zZCtCdjONetO07leWf/mMzhf/Cyf9m46NUWw6eYeiPovvL3aL2G4ytqhobjqvIpXeNJBrOSqNZ3bWqi/PZT1Kyz05GSz7pcyaQLtZiVT7u/Bn88X/WMAuJJpwrvnH5OXPsQDz+sHhaKOOj01ViX+bO5e6rvE3NS1XDcDJ+y7dNorzjbnYRPQgghRBMp7fmUS88ePtlqh0+VlU/e7C7rRiYEvzml/AG95878Os4AZCLW7Vo7xNk5TmsvxFIp6/lk/L3OZbY7WKHwSUN3pkimy/fI0yXHpGblk62Be76jEzqJlM5AT5SpaA+ZlFG1kBwjlu7G59Pggp/AE34Ia5/FgUkVHtx+ZwsfOYjlkY0xEe5j7/hmzt16GzZPf0NWax60xozwye0r/65pysqndc+C7W8Fd19xUVnl00zDquqFRlAePjkC4FHB0d17T7OWmwFGJlR//bkkPPABGLgQtl0J299CnHUqIHMEOGHdw9x1j4NUCsJRJ52+GmNvPUNwxqfhwl/W314xI4c9RzZX8gFvBodtVPlkDh+Xnk9CCCFEMymb7S41+0FwcdjdzOGTJ7sDOtQwG2L7qtfjmGVv3RFQZfrmVM71Go5L+CRWUmnPp+w8K59cKxA+AR5XsmzY3WOPqQPpH/1I3TbDp1RKzTw1nx7F+TptWPYcUlUKjztdzYB59IhRCZkcI57twOcDOo+HDS8oC+VOXXcHxPZXrk4ISzbGHXvOBuDcY24DvTHhk3nQGour94q7ImHSNCugbZrwqfMEOPMzZUPVyiufZgifSk/2VEpOkEjrZHN2xhLbADhyBL7795dZjzEDjHSw9jpycTXBQnIcNr9KbeOZnyWRcqvfn8PPyesfoFDQ2LYNQlGdDn+d7T3ubeDfVH97xYwc9nztyqda+1ktKivD7oQQQogmVFb5FJ89zCk2HJ+l51PmUegyqp0SI+ryCT+EF4ThBXXOjJYyS+vNA/qaDceTy3rQLkQVM0SdugPuf5+xbK6VTyXDRpYzfHKXVz7dfbe6/PCH1aUZNr3+9bBuHXz+83Nfd7rOqJ4dB9cA8LizVXXF2EGjB1xyjFgqUH7wfsbVdHWqIweNAhy9be4bIFafbIwHDp4MwKmbHrB6Ai1ScdhdSr2fdV/1d6MZtjZN+FSDWfkUT3nrVz49cjX8fG3t+wBSE3hfncD5iixDr7qTf/on2LgRvvW3Vxcfkk4Y665b+RS3ht6VDAuMx43fnzPAi877PuefE+LAAXhw72Y6/TMMExQLpno+lUQbZsVTrn2G3WWMcE3CJyGEEKKZ2Jyq1xMYw9hm2Yue67A72yj4Nqgb5nTyzk610+mcwzRExfDJOBtbekbO7E0hlU9ipdm96m9w73cg+IBaNtfZ7korn2zu+o9rMN2VJpGyxiLsNwqLHnlEnS2urF7at2/u606VfCzkSvoB3/TgafR2Rnj841SyNX7YeF8nx4il/KryyeTq5rHdDk45KU040VH/YFYIgGyMR48cx5quI3R2OasbVC9QMXxKqvDJ7asfKjdz+ORwgM+bJRjvql/5dP/7y29XlDsWEuU9n370IzjhBPj9u57C51/xrwCEgsYbvtb71eFTJ7fM8Mn43i4USsInhx+fHucLH3qg+LSOQHZOP6OYH4c9RyZbY9idVD41FQmfhBBCtB+by5q5bi5hjjmzXMUZ1J6K3p8eVwL0IXUjYUyt7uya+3Y5jIDKHApQutNs9qaQ8EmsNE0rNs4tmmvlk6dkRq5lbJrvcaXI5ezFnfNdRnu2bBZGRqBQ0XR2PjPOlYZPyZLjmBsfPIeLztjN0HrVbHx8xDgITU0ST+tVB++9vXDMMRpTsR727EGI+ozw6bjhRxvahLrY8ymlklG3tzogvuoqePzj4fzzq+5qKt2dGaZj3fUbjlcGdhX9nxLh8kDp1lvh9tvhKWfeRpc3CEAoaKTWtYbduQeMnk/G+96oGE2nVdhtVj4BnHzMweJQwc4OmdFuKTgcebJl4VP7DruTnk9CCCFEMymtfJpLmKNpxlC98vDJ7VZnMW+5Bd72phBOe0YNf7DrkDSG3bk6a6ywDrN6JFOj8smcBU+G3YlmUBU+zbEMYs1T4Im/gafe3fhtmoHuUu/3hJEx7SqZGyASgdzUI2WPj83Qh7hSafj08Y+r2yMjsHd8ExeeuZ+B9WpI1PiocWSQSxBLuMsrnwwdXQ4ePXI8x1z2eg4enPs2iNWlkCkJn5yNGXIH1ZVPuqc6IL76avj73+Hkkxv2skuiuyurwqd6w+60itkv05NlN6PTVj+oTl+Uc881Gq5fdgedJzwDgKAZPlVWPtlcal+gdNidUWEdN256PIB3A7h7cTz8Pl77yjgb+g5w/ukj8/1RxRw4HRXD7nLtN+xOKp+EEEKIZlTZ82kuB842d92d2PPOg09/eK8q5HB1qTDL7PnkXED4lK1R+ZQJw/S9qpG5VD6JlVYZPs112I/NAcOXQ8/pjd+mGXjc6r1khk+PPaYqjUBVOSXS5RUeC618+uhH4ZOfhKlJdVA6PJgi0KVSplDYpiY6KOSIJVw1w6fOTutgX6qfRD3jRx0E490ct6axlU/FhuNm5dPyjYxtuO6unFH5VC98qvjMSpWHT7HgdPF6h68koOjYRudxlwMQChnv18rKJ2eAX995CZdc9UGyKeO5xn6G+RmkKp/8cNGvIXGELzznSez/3EYuu2h0jj+hmI+qnk9tOOwuk1E/n4RPQgghRDNx+K3qouwch7HZXfXL98Ha+XR2qjOchZx1e87bVVn5VBo+ReC3p6vwySHhk1hhleFTk/O41XvXHBY3Pg7b1ARWRCIQT5VXE0bDmTmvO1VxbLtjByRjaqHusWNz2PG5o0RjNsglyObspDOOmj1zSvvI7d07500Qq8x0UB2i9XdMNKzZONSofGrhItvuzrzR86lOD6XKyqfUUet6IV9R+RQve2hntxqKHzILnioqnwr2AM98/yf48z1nMjFuVEdVVD4V3/9958GpH4PJ240NP3W2H00sQHX4JMPumpGET0IIIdqPu8/a0ZxrDyWbe5Ypm42dT1entT6ba35D5IrD7kqG2JmSYyXb0sJHBKI9tFj4VDrsLp9XfVf6jdnpIxGIJ8tLPGKjO2dfaXQvpKerwqfRUUjG1HtX96ij+YAnSiRmh1xSzcAFtYfdlYRPu3fP4QcTq1IqoU5uuJ2ppQmfUn40Ld/SFRTd3UblU6Fe+DRD5VNyjFjCVbzZ4SsPKDp7jPBpfBwO/RLi5WNk7z94RvF6NGKOhaoTPgFseL66tHth6Ckz/FRioRyOPNlcSeDYjsPucq0/210Lb7oQQghRh7tX7XBkEw0ZdgdA2gifnF3W+pyd82uq7Jhh2N3E30oeJ5VPYoW1WPhUWvlkhkVm+BSNQiJVXgURjc3h/Otfngprnkoq87myxWNjkIyr19O96hS0X48TjTlUvydjSFOtyqfOkkJJCZ9EPamkET45UuBqfMPxbM6J7kqhaa077q67Kz9j+JRMwK9ufz6Hp9aiO5O8/MQ4xTw4doBoyppEoXPNurLndnapz4fQwUfhb2+sWvfeyWOL1yPh2pVPntKvce86GLoEvOvl+32JOOwFMtnS8Kn9ht1lsxI+CSGEEM3HbTR7SU/OvfLJPlvlU1BdmsPuzOvzUa/huLsXRv9Usi2ycypWmMcIn7b9Gww9eWW3ZQ5KK5/MoXdllU+J8l3eaGoO793UUUgcIlUxOdWDD8L1P1QH7bpHHewEvHEiMSdkE8TTc6t8uv56ePOb1cxiQpRKpZam8slecmyuO+NAK4dPBaLJAJlUjqpRSPkcX7jhFbzz+k9Zjz/xl7zQHPEWP0gsab1BO3rK36zm+/T9P7+aV/7nq+nuysGDH4ZDPwdXN0dS5xYfGwnn1a/ROCkViZSvo+hJf1jQzynmpqzyqVBoy2F3mawNTctjs7Xu4LXW3XIhhBCiHnefukwdnXvPp7lWPrk6rTOX85npDtR2aLbyyifNDl2nqWbjpY8TYiX1ngs9Z8KJ/wHrnrXSWzMrj7s6fOozPgYqw6ce/2SxOmlG+VTNYXcAX7+2CwDdaw67SxCNOyGX4O59akjOhg3Vz6sMpL7whdk3Q6w+qaSqptGdSeukRQNoGjgcBQDcntYNngC6u9XPEQzZq+/MhDgwqd6AD3/yeABC5sx1UFX5VBkUORzwuMdBJGrnz3efCj1nWEPsz/ofjtivKD42Ei2A5lCz7ALBoFre1VWxTZo2v0ppMS9OR8Hq+ZTPAOrvo62G3WU1nI46w0xbhIRPQggh2o/LqHxKTaphd3MKn2ZpOJ4Jqoonm3PhlU+aBo6O8sonuw5dFXNaVzZKFWK5+TbAU+8Ez5qV3pI58ejqQKN02F1Pj3rLRaMQT1n9XYY6R4km5/CZkKsdPr30pdZ1s+eT35skEnNDLsH3/v5S1gwmueCC6lWawdhzz/4Jp2y4j0Q8V/0gseqZf3NuR6rhPQAdDhWAuGuNC20h3UZBmNmcvUx6mvHQANvW7GBNl5qZNhYrCZ+ijxHL9hVvdtb4Kv/Rj9Tl1JS5xAiOCgUOH7YeFwlTNrS/bvgkllRZ5VO+pNqpjSqfsjkNh721vzMkfBJCCNF+zMqnxKialW4uPZ9mHXYXqq50cnXNf9tcnZA2pnjOpVTFVc9Z5Y/Jxua/XiFWMbMCqbTyyeMBv19VPiVS1sCcwc4xUmlXceagmgp51UumRvjkzVvNmsyeTwFvimhChU9/efhJPOuyqbIhTqZTjWE/r3jCd/A4E8VZ84QolUqpQzS3MzW/SS3mwOwX08oz3YEV7kwHa7zR9l7LeHiAgUEHvid/E1AhdFHoEaKFLcWbVUPkUOE11AifKHDkCAwPhI315stOcEn4tDIc9oIVPmVLqp2aofKpkFf/FimTUbP6tTIJn4QQQrQfs+eTOUNNo4bdObvUdbNCastr5r9t3nUQP2SsxziwGHxS+WPMyighxJx4jPApmbTCJ12HQEAdDKYzVuXTYKeaWTI2U8abT/O2az/NG7/4Xmu6dYNv+pfF61blU5pI3EM+kyCc6GRwoFBztdu2Qe5PT+fZZ/0S3ZUkEZ+h2lKsWqm0ET45UvMf3j0LM3xyt/aoOzo71e8oHKk4nM0m4MH/VOHT+j6cW67A6cioGS5vOFE9JvwIMTaUrKt6/R6P+gwphk9aefi0fbP6YIiEMlY1NOrzxuGoPeGAWDoOB2Rzdvbsge9eZ+frf30N3/jrq3l0d2PfPwty47PgF5sWvZpsptDy4ZM0HBdCCNF+zNmBzJBnrg3HzabitWRC4DROj571RYjthTULmDLZux4m71DXs3EVenmHyx+TjVY/TwhRl8enwqXSyic9swe/fzM33VTeZ8UMn6LR2gedAORSfPZ3bwPgwlQBq+oBvO541esGfGmiCTfR3X8DnkFHZ/3zu7ahJ8DYb9CdSabjrd2/QyyBQp5kWh2iuU97Bww2tuG/0ygCbPXwyelS77FMpiLoNb4/x+ObuHCtarLm05Oqz1voYVV5nBwjmrO+d2tVPoGqfiqGT0OXcu9fH+RLf3gqu3fD+c9N85fbIBIsn1F3elpVPUl7p+XlcBRIZVw86cI4Bw73AV8H4Il3PcJf/mkFNywbgyM3zP644EPQsa3YO6zmqrIFnI7WDp+k8kkIIUT7sbtUUGRWPs1l2N1slU+5hLWejmMXFjyBCp/ih+DOf4P916nQC+D878P65xvbO4dmyEKIIr1W+HTfawi4jrJ7d/ljB4fUzv3MlU/WZ8HBA+U7+16XFT6Zr+v3ZokmfIQfuA6Ajs4Z+rYd/054+iN4XAkSidoVUmIVy2dIZdT3gvvE1zU8xWiXYXdOl3qPZdKV4VOMbM7OZNDLwIBa5NNT1iQDoUcAiOXUnT09cOKJtV+ju1uFSQBseSWfefgWvv7dfnp64CmXFvC6YzUrn2TI3fJzOgqks24OHPby8Rf+Bwc+v55LTvojocgMf+h7r4XonqXdsCO/nf0xyXH4zUlwx5UzPiybLRQnDGhVEj4JIYRoT75NMGVUGM234Xh4p5qqt1RujrPmzca7Xh3Y7jSmuUqqKgw2vhCe8EM483Nw1ucX/zpCrCKdXeqIOhi0wie3M8XklDpAfd/zrCnXh3rVcJnoDAWGhWwKTVOh0+iYdfBv03L43FZq5XCpkCDgz5Iv2BkLD6rbHTMMLrDZoWM7uitLMtnaBxJiCeRTpLJG+LQE1UntMuyuGD5lKu7IxTka6aNQ0BhUb0d8njSxpBE+RXYCEE13smEDTE7C2WfXfo2yyifg7vs8XHYZHDoEz31hB353lEgyUNVwXMKn5Wf+XXtccd78lP9hfe8henxTxFN1KokKebjllfDIfy/thpn7eFD/BKfZamH/92dcVSaj4bC39neGhE9CCCHa0/DlkFCz3Mx52F0+pc6C/Xo73Pnm8vtzicY0fvWuL79tNh8HdYZ7+7+Bq3vxryPEKuLyeunxTzJypFBsEK47k+w7oobgPu/sHxQfO9ijdvRnqnxKJ1MUCmo3OZGwdpc/94q34A2UVFIanwl+r5qB6PDUWgA6uuoPnQBA0/B4NJJJ2RUXFXIpq/JpCcOnlq98ctYbdhdnPKyqmszKJ783Y1U+RfcBEEu48c1SZFwaPsXj8PDDcMYZxp3ufgKeKNGkXyqfmoBZEXTc8KP4dfXh7nXHiSddtZ+QjQMFCD6wtBtWOttevZYK5iQzM7VcyKXJ5mxS+SSEEEI0pbXPtK7Pp+F4WJ0VZdc15Y2/c8nGVD751s/+GCHE/Dg7GOocZXQkaw27cyZxOlQodNLaexgeUO/nvi61o3/hhfUDqESsuhdT7mfbePMr9+BdVzI7pRE+BQKqSurZn1bNyDs66xzwlND1fNksfKUmJ1UW/Y1vzLoa0W7yaal8mgOnu37lU2X4VOz5BBDbB0A45sbvn/k1zPBpYgJ8PsjnS8InTSPgS0vlU5Mw/67Xdh8uLvPqGRIJDfZ8q/oJZuATvL+60r2RSsOnepPJzGWG41yMbM5R7NnWqiR8EkII0Z56zwN3n7o+l55PZuVTbL+1LDVhXW/UsDt9aPHrEEKUcwRY0zXCyEihLHy69/tf4A+/DmO35bn1Bz/i17+GM7bv57Iz/wHAA3VOeidi5Ue0DkcBW3wXrHsWvtIDVps6gtf18r48Hd1zCJ/ceZLp2kcSe/eqy89/vrXPcosFyKvKJ5stXzygbqT2aTheJ3zKxhgPVYZPsfLwSbOz6zE7W7bM/Bpm+HTNNer2scfCRRdZ9wd8OSKJQNm+gYRPK8NuV5/Ba7sPqxmET/skni2XE097a1c35YzAJxOG+IGl27Cyyqc64VOuJHwqfXypbIxs3rEknwnLScInIYQQ7clmh+GnqevzqXwqDZ8KJY2Gsw0Kn0qbibu64dn7Fr9OIVY7Z4ChrlFGRykLn07YuJtLL1DDb9dvdPP0p4PD5eDLV34QgPvvr726RMUsdG5nWvWF2/BPeL0lu89G5dPQQLrs8YGO2ZtEe/Q8yXTtkGp65CgA+fi4mqDAHEIs2l9O9XzS3Uszq5V58DrbkLNm53SpH6Q6fLIqn4o9n1zl4VM4u469ezVOOWXm1+juVsPtPvpReOYzYedOFUiZAgNr2Dt1Al/6y9v40pfgS19SVYsSPi2/YFSdZBzuPgInvgdOeAfe/vXEUz4Kuco/EsqrjabrfBE0Qn4ulU/WJBZ1G6BnY2RyTgmfhBBCiKa16WUqMPKsnf2xZsNxoyQfgELOut6oyqfSdXSeBL6Ni1+nEKudWfk05iCRUIvczpTa2U+pIAe9X13aXGzs20cgMEP4ZAy7M5uO+90RGLoE3D14fSUz2dnUkcATzp7guje9uLi43tTtpXQdsjkH2eoRfowdCgIwcdTO3Z95FvxCPidWDaPyye1amvDJbvz59vYuyeqXjdNl9nyqCHpzccZCgzgchWII5Otbw8OHT6TzdUGI7eeBI+cBzBo+bd+uLoeH4ctfrr7/2JN62T82yJXvPYMrr4Qrr4R0WlVIieV1ZKITgLU9h8Gl/ri9RtF7MlHjCaXhU3AJw6f59HwCSE7UfUw258DhaOzsl8utxbMzIYQQYgZrLoUXRFQV1GzsbihkYf/11jIzfCoU1JC8RjQct7lAs6mqqkasTwihKp86R0kmbYyP5QEbujOphjmYO/PmMFybC62Q5pRT4L77aq8ukVDv/eGuIxyeXsf2oYeh62QAfP7qzxPN4eGcY24v3g4EZt9ks+FzMklV7xn1M8DodB9nvvdugl/tpHP2VYp2kFM9n9xLVPmUNor0Sit4WpHTpQ7CM5XhbTbGeHiAgf48mqbeq77BYwAIJzrJ5W3cf+h0AE49debXeP7z4ehRFSbX6rXzmc/Ae96jrpttg2w26O9f0I8kFuGwGT51HwZ3efiUSEDVqcOy8KnOF0Ej1Ov5lEvBve9W+5mdJ1jL0yXTK5Yywien3trhk1Q+CSGEaG9zCZ5A9QiorEIyh92ZOw+NqHzSNGs9Ej4J0RjODtZ0qaFpH/8vtXurKp+iVu82t1X5RD7DiSfCI4/UXl0irt77a7rVOo8ffhgC2wDw+mqcu9XsDHWOFm+6Zm/5hMejDiISNc7Kj42WH1H/+p5nzL5C0R6KlU9L0+8rHFaXLV/5ZIRB9Ybdmf2eAHx+64B9LDTI/ftPpKsL1q2b/XV6e2sHT6C+zgcG1L/BQfVPgqeV8bG33MgZm+7igu03VYVP8USNwMYMn7zrl6HyyXj90p5PU3fBjs/Azs/DxN+t5aUzIJcq9nxq7fimtbdeCCGEaJSBC+FZe+D0T8EJ71bLzMqnnHF02IjwqXQ9Ej4J0RiOQFnlEYDdllc7+2b4pJeGT2m2b1f9WSYnq1eXiKv3vl1Tlxv6Dljhk79G+JRL4dPj1ctnoBvhUzKWrrpvbKz89su/dC1OpzoIdrlUxYVoU/kUyYyO27004VMopC5bPXwyA95aw+5U+KRVPRbg0NQ67t93LKecosIj0R7OPmWCuz56lvoctqvUyWPsasUTNSIPM3zqexxEdsHknUuzYbmE9d1TWvmUOGJdH/2jdX2G8CmTc+JwtnZ809pbL4QQQjSSZoPj3w5956rbxconI3xyNCp8Mk7HNSrMEmK1cwbYOrSbb/3X/5Uvz0QgeRQcfivsNcKnbSpLYufO6tWZlU+hpBqbtKZrBDpUAxhfoEYZRL7ODEUz8HjUbvgfPvZGbrh+F0eOGNs79lfGJqzXuOyU3/Hu53yGd74T3vlONaTvjjvm/XKiVRSH3S3N6s3Kp1Yfdmf2rqoKn4xhd4ND1mHuREkbnQNHN/DAng2z9nsSLUYzTgo4AsVU0ap8qlEBb4ZP2/4VPMNw+78szXblklbVbbZG+GTXITkKaKDZZ658yknlkxBCCNF+jD4RVuVTA4fdgRViSeWTEI3hUE2T1vYdLV9uVj65S8bClFQ+AezYUb26REJVnbzvJd/gmMHHeOY5fyv2jPL6a4ypqzc99gx0r/qced1Xv84zXnIsr30tcNdbOfCDV/C7v1sdi9/+9P/moy94Fx/9SIGPfhQ2rwsTmpxflZVoIeawuyUKn0ytXvmkaeB0pMlky8OnQkY1HC8ddjdqjYjl5p1PIBLzSPjUbszwqdtq5GWFTzNUPnUeryaTSNVp9L1YuSQ4O3ng4GkcPFgSgiWOgM0Jw09Xtx1+cHXV7/mUi6lZMD2tHd+09tYLIYQQS6EqfDKH3TUoLDIrn2wSPgnREMZ7c21/yY673WPMdjdhDXuAYvi0aZOadr5m5ZMRPj3u1CM89ulj6VvXVzybrvtqvG+HLgHgjz96mF/8Ym6brOvW8L3jhx9mcjQCicO88/pPAvDWp36Gm97/BC456c/qsyiXhOQ4Hdk7CR16dG4vIlpPLrWklU+mVq98AnDas6TT5eHTw491kUh72VjSwvHKK63r1/3jJQCcccZybKFYNkkjYey/oLio2HA8WaPyKWeETw6f+q7I1ZoSrwHySUKJPi740F/5j89ebC2PH1EVV/5jjO3wgqsHdn0Jdnyhej3ZGMm0ju6ZYx/TJiWz3QkhhBBVjHMzlcPupOeTEM3J5gDNztreksondy/ED8H0vdBzZsljXVDI47Tn2LbNXnPGO7MJuKezC8IU+z2BmtmuysCF8KIsl8x1ggPAU9K4fPvwDnaNO8C3iT3jWzh5/f1c/dJ/x2YrgD4AyXH4x4shMUan9508NrF+zq8jWkw+vSyVT+0RPmXIZMtrKT53/UV4XAle/GLrffrUp6rZ6LZvh507BxgeLnDGGdLwqa3kjc7za55SXGT1fKoz7E6zgc2tTghml6iaNJfki796LqF4J5PBkn2+hBE+eY2u99m4NenNXf8G2/+1anuTmdYPn6TySQghhKhkq1f5JOGTEE3L5qbDG7Juu4yj6+QY9D/BWm43hs3l0zzucXDrrZCvmNW+GD51dKkrJeGT+f599pk/r3j9+R0U6F6rr1NAjxBL+cDm5uDUes455nYVPAF4jIOTQ7+A5AidnhChRNe8Xku0kLyqfNKXeEr1pQ63loPTka3q+fTXe7bztLNvpq+v+vHvf7+6fMMbNGk23m5O/gBc+HMYfGJxkTXsrka9TTYGdp+qaHV4IRdXCWWDxWIan/7xFQBEwjnrjqrwKUJxVrxasjGSWY8MuxNCCCHazlL3fDLXL+GTEI1j1yt6LxkHEse/E074D2uxzQiffnUMjx/+HlNT8JGPWI2YARLG1NyeTiPAMpqNq9fxkPq2i5+89XmL2lzda/WO8vYMEk/ppBJpRoNr2NB7wBqeW/raF/+Jzl4voah3Ua8tmljO7Pkkh2mzcdqzZLI24nHIZqGQL3BoopfNQ+M1H//Sl8KePfCe9yzzhoql5wzAumeXLSqGT8k64ZPDp66b+3b5VMM366c3X8RkqIO1gxEiURuEjCHTiSPgWcNUaiPjoX7170ic8VA/ubytOgjLhFXlU4vvNsqnmhBCCFHF/HpcomF35ilXCZ+EaBwjfHI48thtWTj2TXDqR9W/0jIHM3xKjHB+72cA+MAHYNMm+NnPjLsSGjYth7NzjVrQebz1fIcHlyOD3VZRLjVPHp8VPvk8WWJJncMjqhxl/RkXwHPH4MzPweZXljxpDZ3+NJGEp6paS7QJo/LJvUSVT/fcA7/5zZKsetmpyicbPh+8+MUwfcunSaR01nbtqfuczZutmfJEe7PCpxozlGbjJeGT11rWYAfHVQne4x5nJ5IMwOgfVLCUCfOTv51P77FnMHjluPr3mvsZvHKcl/zPddWz3mVCqudTi+82rkj4pGnaWzRNe1DTtIc0TXtryfJ/1TRth7H8kyXL361p2mPGfZeVLD9T07QHjPs+r2lSQCmEEKIBKiufsg1uOG5+/Ur4JETjGOHT9M7bCH61C/yb4cT3qH5QpWxW6LO9/25+8+scv/0tBALwBaPPayKp4XXH0dZfAU/8DXSdXPI6jQmhda8Kmvx6BK8nRzzl4cARdTC04dxLwemH7f8Grk7rSQ4fnR0ZCgUbkUittYqWZ/Z80pcmITntNLj88iVZ9bJzOnIcOdoFwI9/DIceehiAdevkkFCUNhyvUfmUK6l8Mvv4LUHT8fFQFwFfgv4hnWjSD6kp43UK3LNjA3Z7gf955Zv44quu5IsfvosLtv+Nv+240GqgbiikgiQz7pYPn5a94bimaScBrwfOAdLA7zRNuwFYBzwbOKVQKKQ0TRswHn8C8CLgRGAY+JOmadsKhUIO+BLwz8CtwG+ApwK/XeYfSQghRLsxw6f8EvV8Ms+VyGx3QjSOET75vSnQY2UhU5my5QUuf9IoeNdy/PEQDKqliaQdjysJ9gAMVxypa405d2tzqc+TDX2H8XlzFAo2dh3oBWB9aT9xR6DseR3+LKCGCXZ2ItpNcbY7GaAyG6c9yz27NgGqmulQUF1f96Q3r9xGiaZRbDierPFdUDbsbukqn8aDPQx0xwh0eFTlUyakXhs4ONbD8LDGm55yDbj74HnXkMo/xlUfWMP4wccYKPl8zyRiFAq2lg+fVuJT7Xjg1kKhEC8UClngRuAK4I3AfxUKhRRAoVAwB+s+G/h+oVBIFQqFvcBjwDmapq0BOgqFwi2FQqEAfAd4zjL/LEIIIdqRVjHsLt/gnk9S+SRE49mMnk/5tHG7XvhUMQQjMQKos+Rx49gjkbSp8GkJbdjo5P1X/Cc3vPdVeL2qv8eDe9aiafny8MlZHj51dqhQPBRCtKN8imRGX7Jhd+3E6chxNKSO0Netg0MjKkxYd0zXCm6VaBZ2O7icmfLwKTkOt70e4ofBaaQ79qWrfJoI9dDfEycQgFRGJ5OIFsOnA6OdbNgAPGs3PF1V7Z1ymvp+euC+TNl6knH1fSTh0/w9CFyoaVqvpmle4GnAemAbcIGmabdpmnajpmlnG49fCxwsef4hY9la43rlciGEEGJx6g27qzXF+oLWb/Z8aoPphoRoFnZdBcXmlNuVIZOpMpSqCJ+SSdixvx+Pe4bms2d8Bi65aVGbq9k0/vP5H2TTuihejwqf7t19DBsGjxbP2AM1wicVikv41KbMYXfy9TArp8OaPczlgkNjHdhsOYaGVnCjRFPRXRmS6ZLBXg9/AnZ/DcKPgG+DWuYwKp9yDa58ymcZD/cz0JMgYHyMR0JpyMbYN7GRnfs61YkG/xbQ+wE45UwViN33QPmw22RUwqcFKRQKjwCfAP4I/A64D8iihgB2A+cB7wB+aPRwqhX7F2ZYXkXTtH/WNO1OTdPunJiYWPwPIYQQor1VzXZnhE8NGyZnfoXJsAohGsY+18onY7k5nC1phU+xGHznO3Drg1t59ZN/Wv+1jnsrDDxhcdvr3wLHvx0u/Dk+Y/THPbu3s239WPnjHH516VYHJ+ZQu9AvnlYMzkhNQewgog0UZ7tb6Q1pfqXh0/Q0HBrvZk1vEMeyN5YRzUp3ZUnGM/CTPjWsztll3ek1SkwbOewuMQIFc7KaJOPhAQb6UiXhU4ZCJsbmt+7jyJi3vMoV6B/uRHcmGBsrjzWSCfW9JuHTAhQKha8XCoUzCoXChcAUsAtVufTTgnI7aqxDn7G89L9lHXDEWL6uxvJar/eVQqFwVqFQOKu/v7/xP5AQQoj2Yg67M3cgMmGwuetXUix0/ch0VUI0TFX4NEvlU8c2dWkEOD6fqnyanFSL33rF9Uu4sajPgdM/BYGteI3wKZIIsG3j0YrtdcJ534LLbgOgs1OF16F4J0zfq6bu/kkv/HIT5NJLu81iyWXTGfIFu4RPc1AZPh2c6GPdgJQECovuzpLM6JCahOhu0PusO71G5VOjht3lkvCzYfjHywDIZxIcjfTR35uxwqdwnskJ63O6q6tiHZqG150kHs1ay+JHSCbU/qKETwtQ0kx8A/Bc4Hrg58DFxvJtgAs4CvwSeJGmaW5N0zYDxwK3FwqFESCiadp5RoXUK4BfLPfPIoQQog1VVj6lxlVJdMMmVTXWU6hZsCuEWIhi+GQOu6tT+WS+r9396l9Cnbs0h92lYqofh2vdRUu9xUU+r3V926bp6gdseaWavQ8YGFAHISPBNepnju1Xjynkrf50omWlUur/V8Kn2ZWGT7kcPHroGNYNRVdwi0Sz0V1ZUlnjzVTIlwf0jR52lzY+u/dfD/kMwck02ZyTgb4MfqOANRrJceiQdeLxzDOrV+PV08Rjxt92/BD8fK0K0Gj98GmlihJ/omlaL5AB3lQoFKY1TfsG8A1N0x5EzYL3SqOR+EOapv0QeBg1PO9Nxkx3oJqUfwvwoGa5k5nuhBBCLF6x8sn4uklOgHugges3QyypfBKiYebacDwTUZfODjX0bfo+ePSzePPPIpvdQmz0MZz249G2vnZ5thvw+qzzwVs3znzw3Ntno9s3xa7RY1XQVnq2Pp+p/0TRElLJ9qhwWA6l4RPAoal1PG/oUJ1Hi9WoWPkE6rshl+DQ5FoePHQS4cxx7DwIpNbAo/+P5/c7OW7DIl4sU/LZPXkH42PDAAz05azKpyhMHlbXf/eT/Vx22caq1Xj0LPG4cXIypBqRS/i0CIVC4YIay9LAy+o8/qPAR2ssvxM4qeEbKIQQYnUrVj4Z4VByvNgMsiG2vgEO/hR6z2vcOoVY7ebacNw8y91xnBpusffbMHkb3kMHgE8zPQ0uRxr8W5dlswG8Pqu57OYNs1Qv2X0cO7RLhU/ZCOSS7BnfzK/ufiZvuUKG3bW6VEoddErl0+ycDvUd3e2bYjrWA8C6YXkPCIvblSeZNhKbbBRyCS77xO95+PCJaFrBKEDvBT7CnsKjfOPSRbxYNmJdT00wPqqG+PX3Y4VPERsTh9Xn/Ykn2SvXAIDXky/OvEp4B0DxZ2j18Ek6nQohhBCVqobdNbjyac2l8JIC+NbP/lghxNzMteH42mfC+d+Hk94LnccXF3tdarhdMOzC7UzVf/4S8JVUPm3ckJ3hkYDDWxI+xSAX5+KP/h9vvfZzhKZnea5oemblk4RPszPDp/W9VrP9dWtz9R4uViHdnbMqnzIqfDo0pdpGFwoaP/sZZGIhTlj7EOFI7TBozjIl4VN6mokj6vbA2o5i+PTwwWM5fMSGTcsxNFw7SfJ6CiSSdsjn1Kx8tE/lk4RPQgghRKWqYXcNrnwSQjTeXBuOaxpsfKG6v6M0fFKnmoMRl6p8si3yQGQevH5rMII3MEvqYPdy7OAuDk6tJxlLQjbB/qObAIhF5cC71aVS6lLCp9k5nSp8WtdjDbVbt056KQpLWfhkVD5t7Lf+Xk4/HRxuD349SjS2yGikrPJpivERNSR6YH1PcZbS9/34I3zia2cz1DWKQ/fVXI3XpxFPeSA9CSEJn4QQQoj2VjrszqgsQG9g5ZMQovHm2nC8VMd2danZ8bpV+DQdduNyLG/vJF9J+IS99gFJkcPL1qHHKBRs7DvgKOv5FI1I+NTqksaoSwmfZpfLG8OXtsdx2tPYtBzbt63wRommorvzVsPxbAxySfo6ggB0dsKGDYDNiV+PEYsvtvKppOdTeorxMVWJ2rdugN5e+MpHb6HTGySdcbCh94D6zqrB67MTT3shMapm6Fv3bJJrVQ/CVg+fVqrhuBBCCNG8SofdJSfUdbdUPgnR1Gw6FLJWGKPVqXwq1bEdLvgpaA58934RgOmwB7ezxoxzS8jrL9lWx2zhk4/+gPpcmpwE1lszNEUjMolBq5PKp7lLZdT7ZsNmnfAPzoTILvSh/1vhrRLNRNfz7B47hk/+6h284/QoWi5BJKnGwJ19tjn/i4ZPTzIVWWQ0Ulr5lJ5iYgK6/dM43d0AvP6Vkzyz6ziuv+XFXHDCXaD9reZqvD4n8ZQXkgfVDHq+LST7nm38PIvbxJUmlU9CCCFElZJhd8kxdV0qn4RobuZZ5ExEDZ2d67C59VeAb2PJsDt92SufnLpKGs7fdvMchvhq9PinAJia0sorn6ISPrW6VErNhirh0+xSaRUW+H2gd/aiu1LWcHkhUJVP4UQn7/r+J3nwEQ/kEgRjnTzxifDd71qP83uSxBKLDJ8yEXJ5Gz+55zXkE9OMH3Uw0BW07h98MkPbT+Jtl3+WszbeVHc1Hp9DVT6lJtRQQVdXsSJSwichhBCi3RQrn7Jw17+p2yW9YYQQTcgMn7Lh+TcLd/eUDLvzLXv4pDl0dl29ld+/6zLQB2d+sN1TDJ8mp+wUMqXD7iR8anWptIRPc5VKq+9qf0CDx30btrwaes9d4a0SzcTttnqABY8cgth+QvEAxx0HgyUftb5On/r8nL534S+WjfC9v7+U5//31/nCDy5kfNLDQHfMut/hgVM/NutqvH6j8im2Xy2Q8EkIIYRoY2b4lJqCydvhpPdD4JiV3SYhxMyKlU/huQ25K+XqLVY+Abidyxs+YdPZOrQbnx6fPXzqOpHey74MwFTQSThsHVxFo9JsudVJ5dPcpTNG+OS3gW8jnPcNsC/fLJWi+ekl76Ojux+kMHkXobi/2ADc5N90PrGUD8b+svAXy0QIJlSV/A23nM5E0E9/b6r8MV0nz7oar9+lKp+K4VO3hE9CCCFE2zJnu8sZZ6xmOxgUQqy80mF38z0AdXjweqzhOi5ntoEbNgf2kiMkh3fWh3cc9xTstixTQSdjE9bPGo3O8CTRElJp9f0j4dPsUhlj2F1ADmlFbbpuBfIjwTUkMzrpjKs6fOryEU36KSTGFv5i2Sgj4Q0A/Pm+s3n00FYG+iuqUR2eWVfj9TlJpL0UovvUAmdX20xEIA3HhRBCiEpm5VPWCJ/ss+8sCCFW2GIqnwCv3zql7HIuc9+YOrMe1aNp0O2PMBn0MDJuPVfCp9ZnDrtr9QqH5ZAuhk9ySCtqK30fjQTXEIqr1Kmrq/xxPr9GvmAnGZpiwXt8mQiHplX49NqLvk6+YOP1L6tx8vKJvwXqV6l6feozIDk9igfIO7q49VZ1n32RE/KtNHmnCiGEEJWK4ZNxJDfPA0MhxAqwlYRP8+35BHg7rPf5sg+7W8BnTE9HhKmQzr4j3cVlkYjWyK0SKyCVksqnuTIbjvsC8w+bxepQGj6NBoeK4VNV5ZNfXcZCkYWHT9kIByfX8YTTD/CV1/2LWnbejdWPG37qjKvxGsWv8emjOFwOnvjsM/jH7TDQBvPeSI2iEEIIUckcdieVT0K0DnN4bHTPwsKngK94fdkrn2zzD596O6JMhX3sG+lB09TQjmhMwqdWZzbRlvBpdqmMCp10r/yyRG2l76OR4BqC8S6gRuWT8fEfDS6ifDQT4eDRNazfUBKx+DbPezUeY5czntDYO7GZf9zu461vhb/+deGb1iwkfBJCCCEqVQ67m8MYfSHECus0ZqTMxcE2/0oIm6cbj1vNHLf8w+7mf/Dc0xlnKuxn75F+hnvG6PZNEY3Krn1LKxQkfJqHzYOHAPB1SJNxUZvutvr33bn3LD7+y3cDM1U+JViQTJh89BCHjg6w/hirGhXP8LxXVax8SnmLYdmTnwzHt8Gky/INJYQQQlSqDJ8WUJUghFhmzgB416nrC6h8wtVLQFdnvd2uZQ6fzGrLk94/56f0dCaZDHewb3SQTYOjBPQI0Zjs2re0fIZkRn3fSPg0u5+++8384qpn0dMnvyxRm+5MF6/n8nZu3vEEtgyPsm1b+eOKlU/hJBSMfkzZOHP24EeZGguSzjgZ3mBV0WKbf5OmYviU9jId6wWgu3uGJ7QQ6fkkhBBCVCoOuzPKr6XySYjW0HECxA8tqPIJdy9+d5hx+nE58rM/vtFeUr8BbS193Ukmwj0U0LjwlAeZDrmIxmafKU80sXyKVFYFKRI+za7PP8azzrwV7J9Z6U0RTUp3qf59F59yK3/+2ndg15dg+OnQ/+uyxxUrnxIuyIQgMQq/ORkuux16Tp/9hRJHGE2dCcDQEHDm/84vvCpRVvmUUpVTlcMEW5WcHhFCCCEqVfZ8ksonIVpD5wnqciGTBLh68BuVTy7XCoRP8zQ8mCKe8nJgYi2bhqfx61FV+VRo/m0XdeTTpDJubLY8DikRmF3eqGpZwLBVsTroLvU34vR4Yf1z1cJcdShUrHxK+iH4AIQegEIWgvfP7YVyCcYiawEYHAS2/jMc99YFbbMZPiUyHqaTawCpfBJCCCHam2aXnk9CtJrj3gquHhi6eP7PdfcS0CPq6nIPu1uA4TVWyLR5bRi/HuVP/xgm/LuX0XH5dSu4ZWLBcqrySf39SY3ArPQBSByWE0SiLmenCoScvm6wG/t05r5diWLlU2Ed/OlCcATUgsThub1QLsFY+DjAqHxahPXr1eVde88k33Uq0D7hk3yqCSGEELVoNql8EqLV+DbCye+D/vPn/9zSyifn/IbArYS166xeIpvWx1nTNUI25+Q/v3DmCm6VWJR8ilTGjbsFKu+awkW/gvO+BXrfSm+JaFIZfSsArq714N+iFq59VtXj+vrAZoPrHv44+bwGWXUigvihub1QNs5YSM24Oji4uG3euBEed9Iurr355UxzBm63NQNeq5PwSQghhKhFKp+EWF3cvfjc6j3fCsPu1q63hhpt3pjiy695AwCT0d6V2iSxWMXKp+b/+2sK3rWw5ZUrvRWiiaWNkZlOJ+AZhOdPwYnvrnpcby98/OPw69938o/MF6075ho+5RKMhQZwuRrTn+mFL+/hoUMn8cC+LW3T7wkkfBJCCCFq0+yQT6nrUvkkRPtz9aA7kwC4Xc1f+TS8QTUGsWk51m0M4NdjHDf8CPG0NB1vWUbPJ12X8EmIRsiofuO4zAlQXd1WX88Kr3qVurxlx9nEkl7e9M3/ITQRnNsL5eKMBfsYGABNW8wWK6efp04i/P3vWtsMuQPp+SSEEELUUbJzspDmxUKI1uLuxeVQp8lbofLJ291Dl3eaTm8IZ89mADyuBIm0VGq2rLxZ+dT84acQreD5z4cbblBVTbMZGIBjjoFbHtyC68jruOZPb6IjkOXjz5/DC2UTjAV7Fz3kznTiieoyEmmffk8g4ZMQQghRm2b0U7G5G3MaSwjR3Fw9JeHTCm/LXLj7WNdziL7AUdXrCvC64lL51MpyKZIZHbdbwichGsHngx/+cO6Pf/zj4dpre/gZnwMgmchDLlV7RsVbXw3RPXDJjZBLMDrVzZqtjdnu3l7VO2psrDHD+JqFhE9CCCFELTYjfLJLFYEQq4LdhcupKp40m32WBzcBZxfXvPo5eFwJ8N0IqPApmvKv8IaJBcunmQj309efXektEWJVet/74Nprrdu5vB1yidrh055vlTwwzth0J2esady2nHiiCp/aqfJJej4JIYQQNRlfkTLkTohVw+VSVY7pbAuUPtnsXHDczZy15S5w+AA17C6eksqnVpBKwRVXwEMPlSzMpxgJrmHNUG7FtkuI1ezYY+GFL7RuZ/MOyKdnflIhTy6TYmwqwNBQ47blne+El74U3vCGxq1zpUnlkxBCCFGLJpVPQqw2LRU+1eB1y7C7VrF/P/z853DppVZ/l0I2xZHpYYbXhFd024RYzXp6rOupjHv28Ck5zmTQRy5nb2j4dNll6l87kfBJCCGEqKUYPknlkxCrhcvdYuHT9reCs6N4UxqOt45IpPwSIBgskMx4GF4TWpmNEkLQ22tdn4z2Qj4z8xOiuxkNqdSpkeFTO5LwSQghhKjFnIpXKp+EWDWcTjN8cq7wlszRmZ8puykNx1uHGTqFS4qcRkbVSY81DewbI4SYn+rwaZbKp8hjjAZV6iTv3ZlJzychhBCiFql8EmLVGeiJAtDhb82Gz15XXCqfWoQZOpVWPh0ZUXUBw8NyiCbESikLnyJzC59Ggip1ksqnmUnlkxBCCFGL9HwSYtV57dP/SnZ6F6979fHARSu9OfOmht15yefBJvlFU6s17O7ImBruObxW/vOEWCml4dPRaB/kD9Z+oGaHQg6ijzEa2gBI+DQb+WQTQgghapFhd0KsOna3mysv/RIu3b7Sm7IgXnccgGRyhTdEzKpW+DQ6rqZzHxqW+gAhVkpp+DQV7SGfrdHzqZBXwRNAeAejwSEC/gw+3/JsY6uS8EkIIYSoRYbdCbH62Iz3u61Fej5V8LpU+JRIrPCGiFnVCp/GjzrxumP4O+V7R4iVUho+5fIOIuFc9YNyJR+yoYcZDQ0x1D/L8Dwh4ZMQQghRk1Q+CbH6OIz3e6E1ez55XOqAKB5f4Q0Rs6rVcHz8qJP+wFE56SHECurpKb8di9YIn7IlH7L5FCPBNQwNzjIrnpDwSQghhKhJKp+EWH3Myqdca45bk8qnFlEoEA6pA9pIpFBcPDHlpr9zeqW2SggBdHWpy1NOjAEQj+arH5QzwifPWgBGg0MMDdZ4nCgj4ZMQQghRizQcF2L1MSufcq2Z3pg9n+KxwiyPFCvq7rcRue9bAESCVgXFxJSH/q7QCm2UEALUZA2FAnzgHWMAxGI1QiWz8qnzRABGQ0OsGZLwaTbSzU4IIYSoyRx2J5VPQqwaLV75VBx2F8shu/lNJPgQ7P6a+j7Z+i+w/wdEko8HIBKxagEmpv2cuD66UlsphCjh86v3ZixWfd++vVn+53ufItd5NoXpywnFuxhaE1zeDWxB8q0khBBC1CKVT0KsPvqAumzF0Pkpt+Ad/z4AiXgW2c1vIo99BXZ+Xl23OaHrFCKJAACRuIuCUag2Huykv7s1q+6EaDc+v9oPjEWrK0m/fV0HV//m7QT8GSLRiwAY2tC1nJvXkuRbSQghhKhFej4Jsfps/WdV9bTtypXekvnrOw/v+j0AxKOt2TC9baWnwLcJkmNqSGc+SSS3DoBs1k4yCbkcJNM6/b0yY5YQzcAXMMKnGhM4TE1BQA8T3vMQ2sDjABgaWs6ta03S80kIIYSoRWa7E2L1sTng+KtaNnT2eDTArHwSTSM9Da5usLkhl4JcknDCX7w7EoGJCXV9oE9mzBKiGfh8RvhUY9jd9LRGt28aHF42bFDLenuXceNalIRPQgghRC1S+SSEaDH+gAqfImFpfNtU0tMUnN3881c+z8/+73jIJYnEvdhsasa7Cy+Eiy9WQ3v6+6VZvBDNwOd3AhCLVUcmwZBNhU92Lz/5CVx8MZx00nJvYeuRYXdCCCFELdLzSQjRYjo61GU4JOFTU8kEmeZsvvqnl/Otv2b52bvv4dBELy+++EaSiQK5/ifjduV46jFf5YJzWrPZvRDtxtehopJYXKu6bzrkMCqf+jnrLPjzn5d761qThE9CCCFELZrMdieEaC2BgPrcCoWkeqappKfZHTwWAN2V5hkf/goAz3jCQ7zo9M/Ds3ZBYgJ+diX0XrOSWyqEMHj9LgBi8erKp+mgg21datidmDsZdieEEELUIpVPQogWY3c6CehhCZ+aTXqa3WMbAfjkG75TXHzKcUHVjBwgHVKXzq7l3TYhRE0utxOHPVM7fAq7isPuxNxJ+CSEEELUIj2fhBCtxuai0xsiFKoeJiJWSC4JuSR7RtTsdi950h+Ld23bmoVMEAp5OPRztdDVteybKISowWbH544Rj9ur7poO6XR3JMHuXoENa10y7E4IIYSoRWa7E0K0GjN8CsvnVtNIBwHYfWSQwe5JOjxBXnHBteyNPgGHt1MFT/GDcN+7YeAiGLx4ZbdXCFHkc8eJJcrDp1QKEikX3V1SYTpfEj4JIYQQtUjlkxCi1djddHpChMLDK70lwpSeBuDh3f0cMzwCuSTffsMr4OQPglsNxePPT1aXx71NKimEaCI+PU4sXh6ZBIPqsqu7uiJKzEyG3QkhhBC1SM8nIUSrsbno8IQJheWgqGmkp7lzz5ncek8fl597N2SM3k52XVU62dwQ3a2WBbav3HYKIar43AliifLwaVrlyXT3SVA8XxI+CSGEELWYw+4cEj4JIVpEcdidhE/N4h//gLPfdycAr3n6jVb4ZNPBvxme9Hvrwf4tK7CFQoh6fHqCWMJZtmx6IglAd79vJTappUn4JIQQQtRiVj7ZZNidEKJFmOHTVBx+d/ZKb40A9u6YBOB/PhNheDBuzWpnDq/rLfl/sruWeeuEEDPx6UliiZL3ZSHP9NhRALoHOlZoq1qXhE9CCCFELWb4JJVPQohW4Qyonk/xDpi6EwrSEHcu/vQn+MhHlmbdiYm9ADzreQE1xC4bUXeY/QQdXnD3Qo+EhUI0GxU+GZVP+Qz88himb/ksAN2DvSu3YS1KGo4LIYQQNRnnZ6TySQjRKnwb6dx0GqmMTirjwp2NgFPOzs/m0kvV5XveA7ZGnpov5ElMHgLA46F8AovS75bnHLaGegshmobHnSaVNiKTnddAbB/ByQQA3WvXreCWtSb5lBNCCCFqkdnuhBAtqPO4pwAQindC6ugKb01rGRlp8AoTIyTUcaoKn2wlDYpLv1vsbrCV95URQqw83Z0lmTbem6GHAJiOdQPQPTy0UpvVsiR8EkIIIWqx2dWBgqat9JYIIcScDQ6qyx0j2yEp4dNceL3qcv/+Bq84GyeRVkO3VeVTnfBJCNGUdFdJ+JRTSfJ0rBufHsfpkihlvuQ3JoQQQtRkA7v0exJCtJbLL4eAP8fX/vo6qXyaIzOw27evwSvOxUlkPLhcOTWcr17lkxCiKblduZLwKQ7AdLyb7kBsBbeqdUn4JIQQQtTi7FRNYIUQooX4/fBPz43xszuuoCCVT3MyMKAuGx4+GZVPHj2vbkvlkxAtRXfnSKaN2e6yCdAHmY5109WRXdkNa1ESPgkhhBC1nPT/4Im/XemtEEKIeTvrbCeRZAcH96VWelNagtlk/JOfhImJBq44VxE+SeWTEC1Fd+fIZJ3kcqhhd4Fjmc6fSHe/b6U3rSVJ+CSEEELU4u6FjmNXeiuEEGLeTjxFBRsPPSITW8+F2RQ8FIJvfauBK84liKe9eL0FdbvebHdCiKaku3MApFKo8MnuJZjbRveAzCK6EBI+CSGEEEII0UZOPElNlPDQTv8Kb0lrSCbhec9T16PRBq7YHHZntg+UYXdCtBRdV8Fx8t7PQPwAOLxMT0N39wpvWIuS8EkIIYQQQog20tMDQ90TPLSrZ6U3pSUkEuDzgdutgqiGMYfdeYxZU8uG3blrP0cI0TR0XcUlyXs+BYkRsHskfFoECZ+EEEIIIYRoM8euG2XPITlCquvvL4HfnweowEnX1b/Zwqc//xl+//s5vkZ2pvBJKp+EaHa6Rw1dTmbU+3XXkY1EIirgF/MnA8GFEEIIIYRoM+vXxLjlvjUrvRlN69c/CzMZ3c4rL1OVT570Q3gcwyTDAPVDu0suUZeFwhxexKh86vQa5/tLq52cXQvcciHEctE9dgCSaRU+ve7jr6GvD1760pXcqtYllU9CCCGEEEK0mfVrMxw6uoZ8NrPSm9KUnnn1r3nV/34bgGSygD79R3RbkOTUwca9SDZOIuPB4zHDJ6Paye4FTWvc6wghloTudQKq8qlQgHt2rufFL4YtW1Z4w1qUhE9CCCGEEEK0mfUbbGRyLsYPjK/0pjS1XA7SaQ2PfRrdmSSZrH94FAzOd+UJEmkvHrPySTMGnXQev6BtFUIsr9LwaTQ4RCSms23bCm9UC5PwSQghhBBCiDazfqMa4nVg19QKb0lzM3s8eVwJdGeSxAzh0+7d81x5Nk4i47Vmu8sE1WX3afNckRBiJeheF6DCp52jKnWS8GnhJHwSQgghhBCizazf0gHAwb3RFd6S5hacVs2bdFcG3ZkimbLXfexjj1nXc5FDs6/c6Pnk9Rq31z4Tjn8HnH71IrZYCLFcdJ8K8ZMZnR0j2wHYvn0lt6i1ScNxIYQQQggh2sz6rX0AHDqQWuEtaUK5FKAOKkcPpwAdj8+Jx52Zc/gUuffbdF3w/2Z+nWycRFq3Kp/sOpz+yUVtuhBi+ehe1aft6Z/6DZqWR3dnWb9eIpSFksonIYQQQggh2kz3QCewgD5Fq0A+FSpeHx1JA6DroLvTJNP1w6e777Sat4fHZ698KmTjxFMlw+6EEC1F9+nF6y8450d85+p/YJMEZcHkVyeEEEIIIUSbsTvteFxxYrGV3pLmE5sOF6+PHM4C4PEU0F0Zkqn6VQ133FHAYVcBVHhietbXSSUyxroXs7VCiJWi+7zF62+7/DO84JkTK7g1rU/CJyGEEEIIIdqQT48TjcnufqXQVLx4fXQ0B4DuZsbwaXQUDh52ccmJfwIgPBmB4EMw8oe6r5OI5wEJn4RoVbrfevMOdo6BXd7MiyHfRkIIIYQQQrQhv54gFpfd/Urh0vBpRF16vBq6O0si5az5nFtuUZeXnGSET+Ec/OYk+MtldV/HrDrzeus+RAjRxHS/v3hdhU/6DI8Ws5FvIyGEEEIIIdqQT08SjUlz3ErhYLJ4fWRUA1T45HFnSKZrh0+/+x0EfEkuOeVGtY5ER/G+3bvhnHPgZS8rf87RaXWg2t/fyK0XQiwX3e8rXve6E0B+5TamDUj4JIQQQgghRBvye1NE4xI+VQoH08Xro2Pq96PrdnRXrip8uv9+eNe74Oc/h0vOfoTeHtUjqjR8+vnP8txxB3zve5DLWc8dn1JDdCR8EqI1Od2u8gX5TO0HijmRbyMhhBBCCCHakM+TJpZwzf7AVSY0bR1A/uPOLgA8Xju6niOZLv99feITcN11qm/TSy/5Kx0dqlKqNHz6x99zmOf0YzHoyN0Hj3yKiQn1WAmfhGhNmk0rX9B50spsSJuQyichhBBCCCHakN+bIRp3r/RmNJ1wuACATVNlSudsvYsNaxPo7jzZnINs1nrswYNw4YUQj8PzHv9H/AFVGfX1v76WVMZFNmfnllutA9RIBLjllbDve0yE+wAJn4RoCy8pgG/9Sm9FS5PwSQghhBBCiDbk82SJJSV8qhQOq0Oghz55ItN3X8ttHz4fX8CB7lb9XFIp67EHD8J683gzE8Lm7mBgAB4+fCI/uf15PPezP2Vk1MHTnqYeEokAzgAAE5F+7PY8XV3L83MJIZbGM56x0lvQHiR8EkIIIYQQog35fTmiCZkavFI8oSqVtg4+RpdnEvIpsHuL4VPivmsAyOfh8OEC64dC6omZELg62bVL3fzL9Me54Z6n86+vO8Ib3qCWRaOAsxOA8dAA/b0ZbHLEJUTLymbhF79Y6a1oD/JRKIQQQgghRBvyeQvEUhI+VUom1ZA7hz0Hd79NLXT48OgqfEre9THIxhkfh0xGY93R98Dur0P4UXB20tEB554LX7t+I/mCnWdcfJiAKnaqqnySIXdCtDa7HQmQG0R+jUIIIYQQQrQhv79ANOmnkC+s9KY0lWQSdFeqfKHDi66r31Myo0MmwsGD6q71vQfhttdBIQfOLgBOP13dp2l5zjv5AH6/uh2JALkEABPhfvoH7Ev80wghRGuQ8EkIIYQQQog25PNBoWAjGUuu9KY0lVRaw+1Mly+0e9HdpeFTuDx8MrnUkLonPlHdfPHjrqdDnyyvfEqrYXpj4UEJn4QQwiDhkxBCCCGEEG3I71e9jaLB2ApvSXNJJm3ororwyeFFN0YoJjM6ZK3waV3PIetxRj+nf/onCE5E+N6bXgaZcDF8ikaBTIhEWmfv+Ga2bauYql0IIVYpCZ+EEEIIIYRoQz6/2tWPhhIrvCXNJZmy4XZm4RmPWgvtXrxG+PTXR57I3/6mcegQ6M4EfYGj1uOM8EnToLPXD2jwyNUEHOOAUfmUCfNQ6p/JF+ycdtqy/EhCCNH0JHwSQgghhBCiDfk7HADEwjLsrlQqbUN3ZaBjO7iNjuAOH8ODKqR7x3X/zZXv2srBA3nW9RxCKy1ecnit65oGFCA5im/3/wPM8CnEvQfOBuDUU5f+5xFCiFbgWOkNEEIIIYQQQjSeP6B29aPh1CyPXF2SKQe6O6tuuLogNQF2L+uHrZBu70EPHY5HWNczXv7kTKjmOm35KD4fRCMFyIS4b/cW/H7YvHmJfgghhGgxUvkkhBBCCCFEG/L6VPiUiGVWeEsaIBOF6zTY9b+LXlUqbcftMsInY/Y6Cjl8fht+PQJAPOHk7l3HlDcb9wzD8NPLV3b61eoytp9AACLhHOQz3P7wJs44Q6ZoF0IIk3wcCiGEEEII0YZ0rxOAZCK7wlvSAKkJdfnA+xe9qmTage7KqRvHvFpdeofB5ip/yYxeHj5dcRi8a8tXdvxVsPVfILLTCJ+yxFMe7n5kkPPPX/SmCiFE25DwSQghhBBCiDake1XlUzKRX+EtaYBsXF2mJhe9qmTKidtt/E62vgFeEAbfRrC7yeXtZY8tznQ3cFH9FQa2QWqSgD9LJJzlzj1nkc3aefzjF72pQgjRNqTnkxBCCCGEEG1I96jKp0S8HcInNRyOQg6m71XXu09b0KpSGQe6GT5pGjgDxfsqw6cLtt8ELwiBI0BdgWPVhSdOOJTnnv2nA3DOOQvaPCGEaEtS+SSEEEIIIUQb0r1qGFkymVvhLWmATMS6/tvT1b8FSqZduF2F6jvyaT7zsrdh03KcteUO3vLUz3LSW28EZwflU95V0AcBGOiJMj6WYyS4BqezQH//gjdRCCHajlQ+CSGEEEII0YaK4VOiRtDSarKR6mXhXdBx7PzWUyiQyrjQ9WT1fbkUV176Ja689EvWMuebZ1+nPgDAUE+QP4xvYCyxnYEBbca8SgghVhupfBJCCCGEEKINefxm5VNF+JRLwy+PgUO/XIGtWqBMtHrZr7fB318K+XlUduXTJDM6bnftyqcyDh/Y5nCuXlclToNdRwnF/OyfPp7BwblvkhBCrAYSPgkhhBBCCNGGdK8bqBE+ZcIQ3QOhh1dgqxaoVuWTqxv2XwfJsbmvJ5ckmdHR3TXuy6fKbzu75rZOhw8cPoYCBwB4YM96CZ+EEKKChE9CCCGEEEK0IafbjablSVaOMCtk1GUusezbtGCZivBp00vhrGuM+8JzX08uQSrrRvfUGBO39V+g+3RYd4W67eqc+3rdAwx6dgBwdNrH0NDcnyqEEKuBhE9CCCGEEEK0Ic1uR3cmSSYrgpZ8Vl22UvhUWflkc6lG4DDv8CmZ1nG7a4RP3rVw+d0wcJHx2HT1Y+rRBxjS7y3elMonIYQoJ+GTEEIIIYQQbapm+NQqlU+FAhz+jQrLKno+HQ338MIrz+bl13yHXGru4VM2lSBfsKPrM3QDDxhNzFPjc99WfYBB173FmxI+CSFEOQmfhBBCCCGEaFO6K02iInwq5DJ89OfvYc8B3wpt1RxN3Qk3Ph3uvgqyEbI5O3956Ik8NnoMz/2PN/DDX/bz3b+/nLEjqdnXZUjGVDWT22Ov/yAzfJpPRZW7n4EOK6yS8EkIIcrNYfoGIYQQQgghRCvyuFIkU+VBy+FDBd77o49y7W1HePS5K7Rhc2HOPrfvexQGLua1X/0G37npFXR5pwnGuxlek+XIiINoqLKpVX3JuAqqdH2Gc/D+TepSmyGgqqQP4nameeczPsFj2hu56KKOuT9XCCFWAal8EkIIIYQQok3prjTJZPkuv0YOgEi81pRvTSQbV5fpKZ7+b6/mOze9AoBgvJsnnb2HL35ODRuMhede+ZSKhABwe/X6D7I54ZyvwmV3zH1bfesB+MSL/4OffD/C8PDcnyqEEKuBVD4JIYQQQgjRpnRXmmS6ooLH6PmUy83Q96gZZGPFqzfveELZXU844xD+zo0ARMNzbwyeDE8BoAdmqUza+ro5rxMA73rruqtrfs8VQohVQCqfhBBCCCGEaFO6O1s17C6XUbPd5fJNfiiQU5VP0VOuJ5Ls4L9e9C4CuurDtGE4jr9D/VzRaHbOq0xGggDogUBjt9W7wbpu9zZ23UII0Qaa/BtHCCGEEEIIsVC6K0My5YB934fQwwBk0mrYXT7f/JVPsaSX3dEnAbB2+7Fs6DsAwIa1cfx+9bBYZO7hUypqDLvzuBq7rb6S8Elr8t+rEEKsAAmfhBBCCCGEaFMed5Zk2gG3vgp2fA6AbEaFT7kmD58OHdLofH2I0x6npo5be+Fr2NBrhk8pfMZkfdFIYc7rTEYiAOgztHxaEGdng1cohBDtRXo+CSGEEEII0aZ0d5ZE0g75FCTHAMhm8kDzD7vbtddDLm8drqxdZ2Nj334ANqxLETMqn6LROYRP6WlIjBAOqubkZtVUw0i1kxBCzEjCJyGEEEIIIdqU7s6RTBkhU0KFT+awu1zOXu9p83PjsyH4ADx7T2PWZ5iYKA/H1q6Flzz+Ovx6FK9vDZo57C4+h+DngQ/D3m8zNv56AAYHG7qpyrY3gyaHV0IIUYt8OgohhBBCCNGmdHeeZNoYY1asfDJ6PhUaVK1z+JeNWU+FiUln2W2fDy447mYuOO5msP0AXQebLUc0NocKrsgOSE8xPqZ+9iUJn876whKsVAgh2kNz19oKIYQQQgghFkx35zk8vY5XfOnbNYbdNajyaYlMTLoB+NrX4KqrKu60u9E08OlpotE5rCymhuuNhwfQ3ZnGD7sTQggxIwmfhBBCCCGEaFM2u9rdv/bmV0AuDploefhUmHuz7uU2PqnTE5jmta+Fq6+uuNOmgim/L0s0aoNcqv6KCgWI7efqG67iv294BwN9GWnRJIQQy0zCJyGEEEIIIdrUrQ8eU7x+5Te/yMi+o2SM8KlQsEE+s1KbNquJaS8DndO177S5APD78sRSPjKhQ/z+93WytPQUZKO8/TqVYA0OySGQEEIsN/nkFUIIIYQQok299oq7ite/9Kcr+dBH9WLlEwC5xAps1dxMBP30d4Vq32k3Kp/8GtGUn2u/neGpT4Uv1Gq7FNtPNOkr3vR3uJdga4UQQsxEwichhBBCCCHa1L+88EF+967LircD7unGhk+5NKmMi1jSu7j11DAx3UF/V52GTkblky/gIJr0s29vGoBPfaricZkI/O5Mdo5sKy4aG5Mxd0IIsdwkfBJCCCGEEKJdbXklGx/3jOJNe2wHmWzJ2LRccnHrz4Q46V0P4n9tbHHrqWEi1MlAT73wyah86nATS/nYuUs1Tz98GPIl2RrxgwDsiD6zuCidbvimCiGEmIVjpTdACCGEEEIIsUR8G1h/yb8Wb06OTJJNlkz1ttjKp0yIx8aOVdcLBRrVybtQgOlogO7OOo3EzZ5PATu/230ut++2nhcOQ1eX8bh0EIBHU69A09SseS97WUM2UQghxDxI5ZMQQgghhBBtzOcDl8pqmIx0kY0dte5sQPhUVMgubl0l0mnI5pwE/LnaDzB6Pr3uddDhjZTdFSptE5VWDcv3HOpk/Xr47/+G005r2GYKIYSYIwmfhBBCCCGEaHOpFFx43hST0V6yyZIhcosNn4zKIgDyjRvPFjHyJL+v1vR1FIfdXXYZ/PFT7wHgoovUXcGSTTK3b/9hLxs3NmzzhBBCzJOET0IIIYQQQqwCvb1wNNJHJhG3Fjay8imfWdy6SkRDarhdoLNOlxBj2B3AOacF2fO/F/AelUGVh08ZdWP/QTebNjVs84QQQsyThE9CCCGEEEKsAr29NlX5lCoJn7KLrXxamvApMj4CgL+7q/YDjGF3AOiDbO68i94eVSVVPuwuSCbr4NBhm1Q+CSHECpLwSQghhBBCiFWgt9/JZKSXTNKa4a6w2PCprPKpccPuohOjAAT6ems/oKTyCX0Qcgm6/Go4YWXl0+HQVvJ5TcInIYRYQRI+CSGEEEIIsQr09rvJ5FwEo97isnQiDXe9FUb+sKB15jMlQVaugcPuplRTdH/fYO0HVIZPQGf4J0B5+FRIBfnqjW8EkPBJCCFWkIRPQgghhBBCrAJDw6p/0r6JTcVlqUQcdnwO/nIZHPrFvNcZj+eL17PpBjYcn1Sz1Pl7Kiqf1j1HXWqatcwMnx59HVA+7O7aX53Cx37ybwCccELDNk8IIcQ8SfgkhBBCCCHEKnDSSery7n1nFJelgqPWA/72HIgdmNc6o1ErBEonswvfuPGb4LGvWuudDgMQ6LSXP+78H8DzjpYv86jwyenI4tMTBI8cKd71oW89l1O37GJiAtauXfjmCSGEWBwJn4QQQgghhFgFTjgBHPYMd+09s7isLHwCiO2b1zrLwqfUIsKnP10It/9z8WYkpKqo/P6Kx9ld4K6ohvKuL17t9EwRevQ3xdtTYT8XnPoofX0L3zQhhBCLJ+GTEEIIIYQQq4DbDcetP0C+YFUTpUJj5Q9aicqnfPXzojF1mBIIzOH57l64YgQC2+jyBgnGe4p3JdMudF2b4clCCCGWg4RPQgghhBBCrBInbzlYdjsVtoawvfYrX2P7xZfPa31mSAR1Kp+ycciEZ17J9D3W9fGb4DqNyFQEmy2Prs9xQzxD8IQfqvAprcbXFQqQSHvweO2zPFkIIcRSk/BJCCGEEEKIVaK3u7wpeCpmBUPfuPG17NzXSzp4pPJpdZWFT+lc1f2j117I/mtOnnklwQes6wd/qtab8hPwJsv6is+q+1Q6ez2EjNn8zEos3eua6VlCCCGWgYRPQgghhBBCrBJeX3kVUDKjSosOTVrduB/7wb/NeX3RmKN4PZ2sDp/Wv/4WNr11/8wrycat6wU1e1406cfvnf/seV2BFMGYahSVCKkZ8zw+CZ+EEGKlOWZ/iBBCCCGEEKIdeAPustvjoQGe+d+/JJe3QqlHHuvkhDmuLxq3nler8imbcwJQyGXQ7M7aK8mnrOsFVa0USQTwezNz3ApLV0eKYKwDgGR4GujH45/r2D0hhBBLRSqfhBBCCCGEWCW8fk/Z7au+92l+fc8z+e19T+PU41T/pweOnA1jf4E73qwaJ80gGrMCpXQqX/dx4wcm6q8kn2LX6Fb+/ODFBEMOrvzmF/nbjgsJ+KvDrNl0BTKEYgHV7ykUBED3e+e9HiGEEI0llU9CCCGEEEKsEt6O8iBmz/gxnH7sYzzu0q38+7/3cckF4/zndW/gC7+cAk4BZw40B8PDcNtt4K3IceLJksqnGcKnvTumGdw8XPvOXJJt/74LgF92fZov/elKTl5/P695fggYmtfP19mRJZNzkUhAIqz6WXkkfBJCiBUn4ZMQQgghhBCrhK/TX7Xs2A1TfPGL6vpPPvVdfvjDPNHCRkiOQt/jOZI8k5/+FO68Ey68sPy56bTVETydql+ptPexOOfVuzNnDbsLh1SA9ZO3Po9jn/ufc/qZSnV1qGF7wek8yagKn3R/9c8shBBieUn4JIQQQgghxCrh7ewoXrfbcuTydvp6rdDo9FNTnM57oOdMmLoLBi7k6Gk38tOfwq231gqfSma7SxlD9AoFuOcdsOnFdPs2Mx3rYc+e+lVRhZLwaWpahVkdnjA4AvP++bq61OuEptIkwjEAPB3zX48QQojGkp5PQgghhBBCrBLeDqsKKOBNANDba1Uv4e5Vl6FH1OXk7fR1p9i6VYVPlVKl4VPaCJhyCXj0avjD40FT6z54UKt+suHIqNUQ/PCY2r4OTxic8w+NOjtUABacTpOMGeGTNBwXQogVJ+GTEEIIIYQQq4TXb/VoKqACod6+ksEQLiN8ysXBux5ySZi6m7POgvvuq15fOlOj8smcvS6fJp5SDc7D4frh0459PcXrh8a7sNuy6M4kOOY/XK6rywifJjMkoipc0yV7EkKIFSfhkxBCCCGEEKtEacPwXF4FUX2DJemMWfkEsP656nLXlxjiT0xMVM98VxY+pY37c0n2jm8invKQyqh1R0pmxau073Bn8frhyQE6PGFVMLWAyqeuLhVyhUJZkvE0AB7PTM8QQgixHKTnkxBCCCGEEKtEafiUzangqHegZKG7z7redTJ0ngj7rqU/v45I5BJSKXC7rYek0tbhhBk+ZVNJtrxtL5ee9IfifZF4yZMqxOJWNdahqXVqyB0sqOdTZ5f6mYJTOXyq8Ekqn4QQoglI5ZMQQgghhBCrRFn4lFWhT++QVXmEu9+6rg/C8OUA9AWOAjAxUb6+dMaO06FmmDOH3SVjatjdHx98SvFxkVj98CmerBM+LajySa1rerpAIqGqoKTySQghVp6ET0IIIYQQQqwS5cPu1KFA33BJ+OQZhMEnGQ/eAGufCUB/QKVOtcKngDeprqeNZcl01euGY/XLjxIJ65AkmfGUVD75Zv15Kuk+F+t7D3Dj370k1WZJ+CSEEE1AwichhBBCCCFWCV9JnlMoGA3H+ys6cTzpD/CUW9Swu4EL4eI/0t9RO3xKZRz4vSpsMsOnVCJV9pgu7zSReP0EKJEqf/2Ovh54xqOgzf9QRXN4eN0Tv8bv/9LNw/s3ADLsTgghmoGET0IIIYQQQqwSpZVPH/6wugxUjm6zOaDvPFTXb2DoEvq6VAOlo0fLH5rOOPB7MwB85OsXMz4O6USm7DGDnWNEEvXDp3jCgd2WLd7u6NSgY/vcf6hSdp1nnP5rAG595HhAwichhGgGEj4JIYQQQgixSjhLJp1773uhULAyppn0D7qAisqnQoF01kHAp0qepkI+vvtdSCWrw6d4UieXq73uRMrB/2/v3oMsK8t7j3+fvuy9+zLdPTPMwMwwMHijRFQQ5HhywBhSKkECxGh5SSWemIonFjFqRTlaxOipSB0FDVaixjKRgxETjwY06hGURMrEGwjIVRzAQOQywNyn59Ld09PP+WOtme6Z6Z7e3fTqnu7+fqpW7d1rrXf1u2c/3bP3r9/33St6txExAkDP1Jd6GtXawfLuzQA8sXUVtfa9tPiOR5LmnL+KJUmSJB3R0pVLaGnZx8ZbvwAbf1jszGEG99bpaIymSg88MH74BNDfP/619wy209UxSHd9JwBLelrHP7EZrQ2Wdm0FYOOOlXTUhydpIEmaDYZPkiRJko6ope9klndvZuOTu+GhzxY79w0yNFyj1p4Hznvg37/L0I6DF4Y6bpLwafdAjY76ProauwDo6Wsf/8RmtHawpKP/wDS+jobhkyQdDQyfJEmSJB3Z2tdxXO+TPLntOHjiWzCyD0aGGNpXo14fDZ/WbziZwa2PHdT0uGXFSKSx4dMHPlBM99u3D/YM1ujsGGZV3wYAVq1+JuFTgwgOjH5q1Eemfy1J0oxpm/wUSZIkSQvFq18Np546xUYrzmbN0u/w+NY1MLgR+tdDbRmDe+vUaqPh0xNb17BlW+2gpscu3wEcHD59+MPF7cAA7Bms09Exwjff8Woe3ngSL/mDr07nYRVai9XFl3ZtZVP/Cjo7JlhoSpI0qwyfJEmSpEXkxhun0ailldWnn8tdN5QjiYa2Q1tXMe2uBvX6PgYHi7WaHvzP3oOaHrt8NwA7dhx+2YEB2D1YZ8WyYVb0bGJFzyboWj6NDpbGhE8Ax6/aM/1rSZJmjNPuJEmSJE1qzQl1ntrUYHhfK+zbBfuGGBquUa/BwM4Bbrj0PACe3lwH4Phlj/Jrp3yX1SuKtZzGW/Npz+5kz1CDjsaY6XFlgDQt0QLnfJVlXVsAeNaJA9O/liRpxhg+SZIkSZrU6tUwMhI8tf1Y2LsTRgYZHK5TqwNtXfT+6hUAbNzSCcANl/4G373s1+nrK6bljRc+Dezey56hjoPDp2dq7cW0tBTXe9aJQzN3XUnStBk+SZIkSZrUmjXF7eNb18DwrmLB8eEatVoA0NNbvLXYuK0bgFpbEfws6S1W+hg/fBpi91AnnZ0zuzD41l3LAHjWSa75JElHA8MnSZIkSZPaHz49sXV1Me2uDJ/q9SJ86u0t1nzauK1Y86neNghAT7l/f/iUo+uTs2fX/pFPY3bOgG27+wBYty5m9LqSpOkxfJIkSZI0qRNPhIjk1l+cVYx82ldOu9s/8qmvGOG0cXsfAPVnX1zcdnXT3jp0YMHxsSOgBnYPsWeog87OLNZrWvbSGenrhWcWq6qf9KzWGbmeJOmZMXySJEmSNKnly+HC30z+9uY/ZGDnHkaGhxje106tXryl6O5pI2KEjTuOAaD2so/DxY9DWzdLOvoPhE4bN45ec9fOfQwN1+noCHjDELzqRzPS1w+/+SM8+eljWbaiPiPXkyQ9M4ZPkiRJkpryu7/Xwqb+Fdy7fgl7B/cCUG8Ubyla2uosafSzvZzyVu9og87V0FJjSaOf/h3Fuk4bNoxeb+vmYmpeR2crtJTbDGhrC47tfRpaDJ8k6Whg+CRJkiSpKatWFbebNrcyODAMQK1WvqVoqdHbuf3AubVaeaelnZ6OHfT3J5nw/vePXm/Lk9sA6OzpntmOnvqBshNLZ/a6kqRpMXySJEmS1JRjihl1bN7aytD+8KlejlZqrdPTUSzsFDFCW1vZqBz5tGNHsm0bfP/78PuvuBaALQ/fA0BHT8/MdvR5l8CbE9o6Zva6kqRpMXySJEmS1JTly4vbTVtqDA0W4dP+aXe01OjtKEY+1dv3Evs/aK6lVqz5VIZPAM9Z/RgAWzZsBioInyRJRxXDJ0mSJElN6euDlpZ9bNraYHCgWMPpwMincnodQK19eLRRa7nmU/8IWx97FIBV3esBeGr7sQD0Lm1DkrRwGT5JkiRJakprKyxb0s/mbR1jpt2VwVG00NtVfKRdfWz4FOWaT1v62XbzpQCs6itWHX9y+3EA9PbO0gOQJM0JwydJkiRJTVve08+mbV0MDRUjn+odo59Q19O5q9hX2zfaoJx2t2NXg21bi0+3O/bk0wB4clsRPvX1Vd9vSdLcMXySJEmS1LRj+naxeXv3mGl37aPHerYB0NaWow3KaXc7BzrYuqv49Lllz3oB9Xry1I5y2p0jnyRpQTN8kiRJktS05X172LSjl4EyfGqMGfl04spiOt3m7V2jDcppdyMjrTyxdTUAS5fXaTSCLTuLFcwNnyRpYTN8kiRJktS0Y/r2sGn7UrbvKNZ66ukbEz6tKD7Frn9XY7RBSzHyCeCXm06gJfbR3ddJozylpQW6u2en75KkuWH4JEmSJKlpS/v2snVXLzv6i7cSY0ctnbD8Pw9v0FrjmCWbALj/iefT27mdlnovHR0caB9Rda8lSXPJ8EmSJElS0zoaIwzurbO9v1jraWz4dOLyhw9v0FLjxSfeBcAPHjibpV1bob33wMgnp9xJ0sJn+CRJkiSpaY16MpKtbNpSB6CnZ/RYV2374Q2inWev/AVLGjsA6OvcBrXRkU9+0p0kLXyGT5IkSZKaVi8yJ57e0qC1ZZjOzjEHcy8AnR3Do/taa7S0JKev+ykAfV3bHPkkSYuM4ZMkSZKkpu0PjZ7a1ElvV//B6zWN7OWpT6/k0dt/OLqvpQbABad/E4AzT7oN2pYYPknSImL4JEmSJKlpB8KnLUvo6dx12PGVvRtZtqI+uiOKtaHee8HHGLk2+Oib3gctraxYURweGKi6x5KkuTYn4VNEvDMi7o2I+yLiXYcce09EZEQcM2bf+yPioYhYHxGvHrP/jIi4pzz2VxF+ToYkSZJUpUa5VtPTW3vp7To8fAKgrXv0fn35gbtjX61/8IPF7QknzHAHJUlHnVkPnyLiVOAPgbOAFwMXRMRzy2NrgVcCvxxz/inAG4EXAOcBn46I1vLw3wBvA55bbufN0sOQJEmSFqVGo0iQnt629AjhU9eYBivGPeWUU+DBB+HjH5/pHkqSjjZzMfLp+cCPM3N3Zg4D3wN+qzx2FXApkGPOvwj4UmYOZubDwEPAWRGxCujJzB9lZgJ/D1w8Ww9CkiRJWoz2h0+b+5fS07ln/JPGhk8ArY1xT3vOcw7+tDxJ0sI0F+HTvcDLI2J5RHQC5wNrI+JC4PHMvOuQ89cAj475+rFy35ry/qH7JUmSJFWk0dF64H5v90ThU/fBX/e9qMIeSZKOdm2z/Q0z8/6I+ChwE7ATuAsYBi4DXjVOk/HWccoj7D/8AhFvo5iexwlOKpckSZKmrdEY/ft1b/cEq4UfOtLp7K/Azz4KK18O9fGn4UmSFq45WXA8Mz+XmS/JzJcDW4BHgJOAuyLiEeB44I6IOI5iRNPaMc2PB54o9x8/zv7xvt9nM/PMzDxzxQr/s5MkSZKmq9Ex+haip3tw/JMO/RygrhPgpZ+CE98Ax51bYe8kSUejufq0u5Xl7QnAa4G/z8yVmbkuM9dRBEsvycwnga8Db4yIekScRLGw+K2ZuQHoj4iXlZ9y93vAP8/F45EkSZIWi4On3R0SPl3wczjn+lnukSTpaDfr0+5K10XEcmAvcElmbp3oxMy8LyK+DPyMYnreJZm5rzz8duAaoAO4odwkSZIkVWRs+NTTvffggz0nF5skSWPMSfiUmedMcnzdIV9fDlw+znm3AafOaOckSZIkTajROWbk05KhOeyJJGm+mJNpd5IkSZLmp3pj9O/XvUuG57AnkqT5wvBJkiRJUtMaHe0H7vcYPkmSmmD4JEmSJKlpjc4xI596RuawJ5Kk+cLwSZIkSVLT2mo1WqL4/J/enn2TnC1JkuGTJEmSpCmI1hqN2gAAPb3tk5wtSZLhkyRJkqSpaK3TaC/Dp6X1Oe6MJGk+MHySJEmS1LyWGo32AbrqO2nrWDLXvZEkzQNtk58iSZIkSaUyfMqOgPaeue6NJGkeMHySJEmS1LxopdE+QK1tyPBJktQUwydJkiRJzYug0T5Ae+tewydJUlMMnyRJkiRNyfHLHqOzvhvaXzbXXZEkzQOGT5IkSZKm5B8ueTMRCe2PznVXJEnzgOGTJEmSpCnpauwu7jjtTpLUhJa57oAkSZKkeaqlfa57IEmaBwyfJEmSJEmSVBnDJ0mSJEmSJFXG8EmSJEmSJEmVMXySJEmSJElSZfy0O0mSJElT88ofQPhWQpLUHP/HkCRJkjQ1K35lrnsgSZpHnHYnSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSaqM4ZMkSZIkSZIqY/gkSZIkSZKkyhg+SZIkSZIkqTKGT5IkSZIkSapMZOZc92FWRUQ/sH6u+6F5oxfYPted0LxgrWgqrBc1y1rRVFgvmgrrRc2yVtSskzNzyXgH2ma7J0eB9Zl55lx3QvNDRHw2M9821/3Q0c9a0VRYL2qWtaKpsF40FdaLmmWtqFkRcdtEx5x2Jx3ZN+a6A5o3rBVNhfWiZlkrmgrrRVNhvahZ1oqescU47e42Rz5JkiRJkiTNnCPlLYtx5NNn57oDkiRJkiRJC8yEecuiG/kkSZIkSZKk2bMYRz5pkYqI8yJifUQ8FBHvK/f9RUTcHRF3RsR3ImJ1s23L/csi4qaIeLC8XTpbj0fVOsJz/o5y/30RccUU21ovC9AEv1teHBE/ioh7IuIbEdHTbNtyv7WyAEXE1RHxdETcO2bflRHx8/L/oq9GRN8Eba2VRWaCevlQRDxevm65MyLOn6Ct9bKITFArp0XEj8s6uS0izpqgrbWyyETE2oi4OSLuL1/PvrPc//ry65GImHCZGmtG0zWvw6cJXvA3VfT+0CwuEdEKfAr4DeAU4E0RcQpwZWa+KDNPA74J/PkU2gK8D/jXzHwu8K/l15rnJnrOI+LXgIuAF2XmC4CPNdu2PGy9LDBHeL7/DnhfZr4Q+Crw3im0BWtloboGOO+QfTcBp2bmi4AHgPcf2shaWbSu4fB6AbgqM08rt28detB6WZSu4fBauQL4X+Vr3D8vvz6ItbJoDQN/mpnPB14GXFI+7/cCrwX+baKG1oyeiXkbPh2h8Ccten9oFqWzgIcy8z8ycwj4EnBRZu4Yc04XMN481HHblscuAj5f3v88cHEVndesm+g5fzvwkcwcBMjMp6fQFqyXhWii5/tkRl+83QT89hTagrWyIGXmvwFbDtn3ncwcLr/8MXD8OE2tlUVovHppkvWyyExQKwnsH3XbCzwxTlNrZRHKzA2ZeUd5vx+4H1iTmfdn5vpJmlszmrZ5Gz4xceE3U/T+0Cw+a4BHx3z9WLmPiLg8Ih4Ffody5FNErI6Ib03WFjg2MzdA8YscWFnZI9Bsmug5fx5wTkTcEhHfi4iXgvWyyE30fN8LXFjuez2wFqwVTeqtwA1greiI/ricpnn1/hH61ovG8S7gyvI17scoR1VaKxorItYBpwO3HOEca0YzYj6HTxMV/rhF7w/Nohfj7EuAzLwsM9cCXwT+uNz3RGaeP1lbLVgTPedtwFKKIcrvBb4cEWG9LGoTPd9vpRjGfjuwBBgCf7doYhFxGcVUiC+CtaIJ/Q3wbOA0YAPwcbBeNK63A+8uX+O+G/gcWCsaFRHdwHXAuw6ZDXIQa0YzZT6HT1MqfH9oFr3HKEcelI7n8OHH/8D4U2OO1PapiFgFUN6ONw1L889Ez/ljwPVZuBUYAY5psi1YLwvRuM93Zv48M1+VmWcA/wj8otm25X1rZRGJiLcAFwC/k+N/DLG1IgAy86nM3JeZI8DfUozmP5T1IoC3ANeX97+CtaIxIqKdInj6YmZeP9n5Y1gzmrb5HD5NVPjNFL0/NIvPT4DnRsRJEVED3gh8PSKeO+acC4GfN9u2PPZ1iv/cKW//uZLea7ZN9Jx/DTgXICKeB9SATU22BetlIZrod8v+UbctwJ8Bn2m2bXnMWlkkIuI84H8CF2bm7glOs1YEHHhtut9vUUzxPZT1Iije2/xqef9c4MFxzrFWFqGICIqRcPdn5l9Osbk1o+nLzHm5UUx/+Q/gJIo3gHcBLwCupPiEISgWC7+i2bblsUnbu83PDTif4pOEfgFcVu67juKF293ANygW2wNYDXzrSG3L/cspFqZ/sLxdNteP063SeqkB15Y1cwdwrvXiNkGtvLPc9wDwESCsFTeKUXAbgL0Ufwj7A+AhiqUA7iy3z1grbkeoly8A95SvW74OrLJe3CaolbOB2yne59wCnGGtuJXP7dkUs37uHvN/z/kUgfZjwCDwFPBta8ZtJrf9L4bnpYg4H/gE0ApcnZmXR8Ry4MvACcAvgddn5paIWA38XZZT78ZrW+4ft/2sPjBJkiRJkqQFYl6HT5IkSZIkSTq6zec1nyRJkiRJknSUM3ySJEmSJElSZQyfJEmSJEmSVJl5Fz5FxNqIuDki7o+I+yLinYccf09EZEQcM0H7ayLi4Yi4s9z+5Ajf679HxCdn+jFIkiRJkiQtFm1z3YFpGAb+NDPviIglwO0RcVNm/iwi1gKvpPiUuiN5b2b+U+U9lSRJkiRJWuTm3cinzNyQmXeU9/uB+4E15eGrgEuBKX2EX0R0RcTVEfGTiPhpRFw05vDaiLgxItZHxAdn4jFIkiRJkiQtFvNx5NMBEbEOOB24JSIuBB7PzLsiYrKmV0bEn5X3fxd4E/DdzHxrRPQBt0bEv5THzwJOBXYDP4mI/5eZt83wQ5EkSZIkSVqQ5m34FBHdwHXAuyim4l0GvKrJ5gdNu4uI/wNcGBHvKXc1gBPK+zdl5ubyvOuBswHDJ0mSJEmSpCbMy/ApItopgqcvZub1EfFC4CRg/6in44E7IuIs4H9TjI56IjPPn+iSwG9n5vpDvs9/4fApfFOa0idJkiRJkrSYzbs1n6JIlz4H3J+ZfwmQmfdk5srMXJeZ64DHgJdk5pOZ+fuZedoRgieAbwPvKK9NRJw+5tgrI2JZRHQAFwM/qOBhSZIkSZIkLUjzLnwC/hvFOk3nRsSd5XakYKkZfwG0A3dHxL3l1/t9H/gCcCdwnes9SZIkSZIkNS8ynUUmSZIkSZKkaszHkU+SJEmSJEmaJwyfJEmSJEmSVBnDJ0mSJEmSJFXG8EmSJEmSJEmVMXySJEmSJElSZQyfJEmSmhQRyyPiznJ7MiIeL+/vjIhPV/h9XxERv1LV9SVJkqrUNtcdkCRJmi8yczNwGkBEfAjYmZkfm4Vv/QpgJ/DDWfhekiRJM8qRT5IkSc9QOTLpm+X9D0XE5yPiOxHxSES8NiKuiIh7IuLGiGgvzzsjIr4XEbdHxLcjYlW5/08i4mcRcXdEfCki1gF/BLy7HGV1TkT8ZkTcEhE/jYh/iYhjp/i9H4mIj0bEreX2nDn5h5MkSYuC4ZMkSdLMezbwGuAi4Frg5sx8IbAHeE0ZAv018LrMPAO4Gri8bPs+4PTMfBHwR5n5CPAZ4KrMPC0z/x34PvCyzDwd+BJwabPfe8x5OzLzLOCTwCdm+PFLkiQd4LQ7SZKkmXdDZu6NiHuAVuDGcv89wDrgZOBU4KaIoDxnQ3nO3cAXI+JrwNcmuP7xwP8tR0vVgIen8L33+8cxt1dN+RFKkiQ1yZFPkiRJM28QIDNHgL2ZmeX+EYo//gVwXzmS6bTMfGFmvqo85zXAp4AzgNsjYrw/Fv418MlyRNP/ABpT+N775QT3JUmSZpThkyRJ0uxbD6yIiP8KEBHtEfGCiGgB1mbmzRRT6fqAbqAfWDKmfS/weHn/LdPswxvG3P5omteQJEmalNPuJEmSZllmDkXE64C/ioheitdknwAeAK4t9wXFOk/bIuIbwD9FxEXAO4APAV+JiMeBHwMnTaMb9Yi4heKPkW96po9JkiRpIjE6EluSJEmLQUQ8ApyZmZvmui+SJGnhc9qdJEmSJEmSKuPIJ0mSJEmSJFXGkU+SJEmSJEmqjOGTJEmSJEmSKmP4JEmSJEmSpMoYPkmSJEmSJKkyhk+SJEmSJEmqjOGTJEmSJEmSKvP/AZq8RzZRZQx6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create an overlay plot that visualizes the two dataframes over a period of one day from the middle of the dataset. \n",
    "# Be sure that the plots include the parameters `legend`, `figsize`, `title`, `color` and `label` \n",
    "bitstamp_df['Close'].loc['2018-02-24'].plot(figsize=(20,20), legend=True, title=\"Feb 24th, 2018\",label=\"Bitstamp\", color=\"orange\", xlabel=\"Timestamp\", ylabel=\"Close\")\n",
    "coinbase_df['Close'].loc['2018-02-24'].plot(figsize=(20,20), legend=True, title=\"Feb 24th, 2018\",label=\"Coinbase\", color=\"blue\", xlabel=\"Timestamp\", ylabel=\"Close\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1437.000000\n",
       "mean        3.396131\n",
       "std        22.969472\n",
       "min       -50.180000\n",
       "25%       -10.590000\n",
       "50%        -0.010000\n",
       "75%        12.120000\n",
       "max       121.320000\n",
       "Name: Close, dtype: float64"
      ]
     },
     "execution_count": 381,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Using the date in the middle that you have selected, calculate the arbitrage spread \n",
    "# by subtracting the bitstamp lower closing prices from the coinbase higher closing prices\n",
    "arbitrage_spread_middle = coinbase_df['Close'].loc['2018-02-24'] - bitstamp_df['Close'].loc['2018-02-24']\n",
    "# Generate summary statistics \n",
    "arbitrage_spread_middle.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 382,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the arbitrage spread from the middle of the dataset in a box plot\n",
    "arbitrage_spread_middle.plot(kind='box')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Mar 26th, 2018'}, xlabel='Timestamp', ylabel='Close'>"
      ]
     },
     "execution_count": 383,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create an overlay plot that visualizes the two dataframes over a period of one day from late in the dataset. \n",
    "# Be sure that the plots include the parameters `legend`, `figsize`, `title`, `color` and `label` \n",
    "bitstamp_df['Close'].loc['2018-03-26'].plot(figsize=(20,20), legend=True, title=\"Mar 26th, 2018\",label=\"Bitstamp\", color=\"orange\", xlabel=\"Timestamp\", ylabel=\"Close\")\n",
    "coinbase_df['Close'].loc['2018-03-26'].plot(figsize=(20,20), legend=True, title=\"Mar 26th, 2018\",label=\"Coinbase\", color=\"blue\", xlabel=\"Timestamp\", ylabel=\"Close\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1432.000000\n",
       "mean        0.722193\n",
       "std         8.523060\n",
       "min       -35.070000\n",
       "25%        -4.965000\n",
       "50%         0.730000\n",
       "75%         6.812500\n",
       "max        32.040000\n",
       "Name: Close, dtype: float64"
      ]
     },
     "execution_count": 384,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Using the date from the late that you have selected, calculate the arbitrage spread \n",
    "# by subtracting the bitstamp lower closing prices from the coinbase higher closing prices\n",
    "arbitrage_spread_late = bitstamp_df['Close'].loc['2018-03-26'] - coinbase_df['Close'].loc['2018-03-26']\n",
    "\n",
    "# Generate summary statistics for the late DataFrame\n",
    "arbitrage_spread_late.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 389,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the arbitrage spread from late in the dataset in a box plot\n",
    "arbitrage_spread_late.plot(kind='box')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 4: Calculate the Arbitrage Profits\n",
    "\n",
    "Calculate the potential profits for each date that you selected in the previous section. Your goal is to determine whether arbitrage opportunities still exist in the Bitcoin market. Complete the following steps:\n",
    "\n",
    "1. For each of the three dates, measure the arbitrage spread between the two exchanges by subtracting the lower-priced exchange from the higher-priced one. Then use a conditional statement to generate the summary statistics for each arbitrage_spread DataFrame, where the spread is greater than zero.\n",
    "\n",
    "2. For each of the three dates, calculate the spread returns. To do so, divide the instances that have a positive arbitrage spread (that is, a spread greater than zero) by the price of Bitcoin from the exchange you’re buying on (that is, the lower-priced exchange). Review the resulting DataFrame.\n",
    "\n",
    "3. For each of the three dates, narrow down your trading opportunities even further. To do so, determine the number of times your trades with positive returns exceed the 1% minimum threshold that you need to cover your costs.\n",
    "\n",
    "4. Generate the summary statistics of your spread returns that are greater than 1%. How do the average returns compare among the three dates?\n",
    "\n",
    "5. For each of the three dates, calculate the potential profit, in dollars, per trade. To do so, multiply the spread returns that were greater than 1% by the cost of what was purchased. Make sure to drop any missing values from the resulting DataFrame.\n",
    "\n",
    "6. Generate the summary statistics, and plot the results for each of the three DataFrames.\n",
    "\n",
    "7. Calculate the potential arbitrage profits that you can make on each day. To do so, sum the elements in the profit_per_trade DataFrame.\n",
    "\n",
    "8. Using the `cumsum` function, plot the cumulative sum of each of the three DataFrames. Can you identify any patterns or trends in the profits across the three time periods?\n",
    "\n",
    "(NOTE: The starter code displays only one date. You'll want to do this analysis for two additional dates)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1. For each of the three dates, measure the arbitrage spread between the two exchanges by subtracting the lower-priced exchange from the higher-priced one. Then use a conditional statement to generate the summary statistics for each arbitrage_spread DataFrame, where the spread is greater than zero.\n",
    "\n",
    "*NOTE*: For illustration, only one of the three dates is shown in the starter code below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 400,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp\n",
       " 2018-01-16 00:02:00     9.49\n",
       " 2018-01-16 00:03:00    14.36\n",
       " 2018-01-16 00:04:00    11.79\n",
       " 2018-01-16 00:05:00    32.20\n",
       " 2018-01-16 00:06:00    21.61\n",
       "                        ...  \n",
       " 2018-01-16 23:47:00    65.71\n",
       " 2018-01-16 23:49:00    10.38\n",
       " 2018-01-16 23:50:00    46.07\n",
       " 2018-01-16 23:55:00     6.11\n",
       " 2018-01-16 23:57:00    24.05\n",
       " Name: Close, Length: 960, dtype: float64,\n",
       " Timestamp\n",
       " 2018-02-24 00:10:00    1.28\n",
       " 2018-02-24 00:27:00    1.97\n",
       " 2018-02-24 00:28:00    5.07\n",
       " 2018-02-24 01:23:00    5.97\n",
       " 2018-02-24 01:24:00    1.70\n",
       "                        ... \n",
       " 2018-02-24 23:20:00    2.45\n",
       " 2018-02-24 23:47:00    1.74\n",
       " 2018-02-24 23:48:00    8.22\n",
       " 2018-02-24 23:49:00    6.44\n",
       " 2018-02-24 23:51:00    1.73\n",
       " Name: Close, Length: 713, dtype: float64,\n",
       " Timestamp\n",
       " 2018-03-26 00:00:00     6.21\n",
       " 2018-03-26 00:01:00     1.03\n",
       " 2018-03-26 00:02:00     3.96\n",
       " 2018-03-26 00:03:00     4.85\n",
       " 2018-03-26 00:04:00    11.75\n",
       "                        ...  \n",
       " 2018-03-26 23:46:00     8.98\n",
       " 2018-03-26 23:53:00     6.42\n",
       " 2018-03-26 23:54:00     6.89\n",
       " 2018-03-26 23:56:00     8.99\n",
       " 2018-03-26 23:57:00     4.60\n",
       " Name: Close, Length: 651, dtype: float64)"
      ]
     },
     "execution_count": 400,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# For the date early in the dataset, measure the arbitrage spread between the two exchanges\n",
    "# by subtracting the lower-priced exchange from the higher-priced one\n",
    "arbitrage_spread_early = coinbase_df['Close'].loc['2018-01-16'] - bitstamp_df['Close'].loc['2018-01-16']\n",
    "arbitrage_spread_middle = coinbase_df['Close'].loc['2018-02-24'] - bitstamp_df['Close'].loc['2018-02-24']\n",
    "arbitrage_spread_late = coinbase_df['Close'].loc['2018-03-26'] - bitstamp_df['Close'].loc['2018-03-26']\n",
    "\n",
    "# Use a conditional statement to generate the summary statistics for each arbitrage_spread DataFrame\n",
    "early = arbitrage_spread_early[arbitrage_spread_early > 0]\n",
    "middle = arbitrage_spread_middle[arbitrage_spread_middle > 0]\n",
    "late = arbitrage_spread_late[arbitrage_spread_late > 0]\n",
    "\n",
    "early,middle,late"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. For each of the three dates, calculate the spread returns. To do so, divide the instances that have a positive arbitrage spread (that is, a spread greater than zero) by the price of Bitcoin from the exchange you’re buying on (that is, the lower-priced exchange). Review the resulting DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 403,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp\n",
       " 2018-01-16 00:00:00         NaN\n",
       " 2018-01-16 00:01:00         NaN\n",
       " 2018-01-16 00:02:00    0.000731\n",
       " 2018-01-16 00:03:00    0.001108\n",
       " 2018-01-16 00:04:00    0.000909\n",
       "                          ...   \n",
       " 2018-01-16 23:55:00    0.000546\n",
       " 2018-01-16 23:56:00         NaN\n",
       " 2018-01-16 23:57:00    0.002153\n",
       " 2018-01-16 23:58:00         NaN\n",
       " 2018-01-16 23:59:00         NaN\n",
       " Name: Close, Length: 1440, dtype: float64,\n",
       " Timestamp\n",
       " 2018-02-24 00:00:00   NaN\n",
       " 2018-02-24 00:01:00   NaN\n",
       " 2018-02-24 00:02:00   NaN\n",
       " 2018-02-24 00:03:00   NaN\n",
       " 2018-02-24 00:04:00   NaN\n",
       "                        ..\n",
       " 2018-02-24 23:55:00   NaN\n",
       " 2018-02-24 23:56:00   NaN\n",
       " 2018-02-24 23:57:00   NaN\n",
       " 2018-02-24 23:58:00   NaN\n",
       " 2018-02-24 23:59:00   NaN\n",
       " Name: Close, Length: 1440, dtype: float64,\n",
       " Timestamp\n",
       " 2018-03-26 00:00:00    0.000738\n",
       " 2018-03-26 00:01:00    0.000122\n",
       " 2018-03-26 00:02:00    0.000470\n",
       " 2018-03-26 00:03:00    0.000576\n",
       " 2018-03-26 00:04:00    0.001395\n",
       "                          ...   \n",
       " 2018-03-26 23:55:00         NaN\n",
       " 2018-03-26 23:56:00    0.001148\n",
       " 2018-03-26 23:57:00    0.000587\n",
       " 2018-03-26 23:58:00         NaN\n",
       " 2018-03-26 23:59:00         NaN\n",
       " Name: Close, Length: 1440, dtype: float64)"
      ]
     },
     "execution_count": 403,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# For the date early in the dataset, calculate the spread returns by dividing the instances when the arbitrage spread is positive (> 0) \n",
    "# by the price of Bitcoin from the exchange you are buying on (the lower-priced exchange).\n",
    "spread_return_early = early / bitstamp_df['Close'].loc['2018-01-16']\n",
    "spread_return_middle = middle / bitstamp_df['Close'].loc['2018-02-24']\n",
    "spread_return_late = late / bitstamp_df['Close'].loc['2018-03-26']\n",
    "# Review the spread return DataFrame\n",
    "spread_return_early,spread_return_middle,spread_return_late "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. For each of the three dates, narrow down your trading opportunities even further. To do so, determine the number of times your trades with positive returns exceed the 1% minimum threshold that you need to cover your costs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 404,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp\n",
       " 2018-01-16 02:56:00    0.012962\n",
       " 2018-01-16 02:57:00    0.010838\n",
       " 2018-01-16 02:59:00    0.014171\n",
       " 2018-01-16 03:00:00    0.010675\n",
       " 2018-01-16 03:06:00    0.019704\n",
       " Name: Close, dtype: float64,\n",
       " Timestamp\n",
       " 2018-02-24 08:32:00    0.012726\n",
       " 2018-02-24 09:32:00    0.010974\n",
       " 2018-02-24 09:39:00    0.010431\n",
       " Name: Close, dtype: float64,\n",
       " Series([], Name: Close, dtype: float64))"
      ]
     },
     "execution_count": 404,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# For the date early in the dataset, determine the number of times your trades with positive returns \n",
    "# exceed the 1% minimum threshold (.01) that you need to cover your costs\n",
    "profitable_trades_early = spread_return_early[spread_return_early > .01]\n",
    "profitable_trades_middle = spread_return_middle[spread_return_middle > .01]\n",
    "profitable_trades_late = spread_return_late[spread_return_late > .01]\n",
    "# # Review the first five profitable trades\n",
    "profitable_trades_early.head(5), profitable_trades_middle.head(5), profitable_trades_late.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>13608.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:01:00</th>\n",
       "      <td>13601.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:02:00</th>\n",
       "      <td>13580.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:03:00</th>\n",
       "      <td>13550.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:04:00</th>\n",
       "      <td>13583.44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Close\n",
       "Timestamp                    \n",
       "2018-01-01 00:00:00  13608.49\n",
       "2018-01-01 00:01:00  13601.66\n",
       "2018-01-01 00:02:00  13580.00\n",
       "2018-01-01 00:03:00  13550.34\n",
       "2018-01-01 00:04:00  13583.44"
      ]
     },
     "execution_count": 366,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use loc or iloc to select `Timestamp (the index)` and `Close` from coinbase DataFrame\n",
    "coinbase_sliced = coinbase_df.loc[\"2018-01-01 00:01:00\",\"Close\"]\n",
    "coinbase_sliced\n",
    "# Review the first five rows of the DataFrame\n",
    "\n",
    "# Review the first five rows of the DataFrame\n",
    "coinbase_first_five = coinbase_df.head()\n",
    "coinbase_first_five"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4. Generate the summary statistics of your spread returns that are greater than 1%. How do the average returns compare among the three dates?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 406,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(count    73.000000\n",
       " mean      0.016720\n",
       " std       0.007628\n",
       " min       0.010109\n",
       " 25%       0.012061\n",
       " 50%       0.014794\n",
       " 75%       0.018124\n",
       " max       0.051633\n",
       " Name: Close, dtype: float64,\n",
       " count    3.000000\n",
       " mean     0.011377\n",
       " std      0.001199\n",
       " min      0.010431\n",
       " 25%      0.010703\n",
       " 50%      0.010974\n",
       " 75%      0.011850\n",
       " max      0.012726\n",
       " Name: Close, dtype: float64,\n",
       " count    0.0\n",
       " mean     NaN\n",
       " std      NaN\n",
       " min      NaN\n",
       " 25%      NaN\n",
       " 50%      NaN\n",
       " 75%      NaN\n",
       " max      NaN\n",
       " Name: Close, dtype: float64)"
      ]
     },
     "execution_count": 406,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# For the date early in the dataset, generate the summary statistics for the profitable trades\n",
    "# or you trades where the spread returns are are greater than 1%\n",
    "early_profit = profitable_trades_early.describe()\n",
    "middle_profit = profitable_trades_middle.describe()\n",
    "late_profit = profitable_trades_late.describe()\n",
    "\n",
    "early_profit, middle_profit, late_profit\n",
    "\n",
    "#This middle_profit has a higher everage "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5. For each of the three dates, calculate the potential profit, in dollars, per trade. To do so, multiply the spread returns that were greater than 1% by the cost of what was purchased. Make sure to drop any missing values from the resulting DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Series([], Name: Close, dtype: float64),\n",
       " Timestamp\n",
       " 2018-02-24 08:32:00    121.32\n",
       " 2018-02-24 09:32:00    107.00\n",
       " 2018-02-24 09:39:00    101.75\n",
       " Name: Close, dtype: float64,\n",
       " Series([], Name: Close, dtype: float64))"
      ]
     },
     "execution_count": 407,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# For the date early in the dataset, calculate the potential profit per trade in dollars \n",
    "# Multiply the profitable trades by the cost of the Bitcoin that was purchased\n",
    "profit_early = profitable_trades_early * bitstamp_df['Close'].loc['2018-01-18']\n",
    "profit_middle = profitable_trades_middle * bitstamp_df['Close'].loc['2018-02-24']\n",
    "profit_late = profitable_trades_late * bitstamp_df['Close'].loc['2018-03-26']\n",
    "\n",
    "# Drop any missing values from the profit DataFrame\n",
    "profit_per_trade_early = profit_early.dropna()\n",
    "profit_per_trade_middle = profit_middle.dropna()\n",
    "profit_per_trade_late = profit_late.dropna()\n",
    "\n",
    "# View the early profit DataFrame\n",
    "profit_per_trade_early, profit_per_trade_middle, profit_per_trade_late"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 6. Generate the summary statistics, and plot the results for each of the three DataFrames."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 408,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(count    0.0\n",
       " Name: Close, dtype: float64,\n",
       " count      3.000000\n",
       " mean     110.023333\n",
       " std       10.129246\n",
       " min      101.750000\n",
       " 25%      104.375000\n",
       " 50%      107.000000\n",
       " 75%      114.160000\n",
       " max      121.320000\n",
       " Name: Close, dtype: float64,\n",
       " count    0.0\n",
       " Name: Close, dtype: float64)"
      ]
     },
     "execution_count": 408,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generate the summary statistics for the early profit per trade DataFrame\n",
    "\n",
    "profit_per_trade_early.describe().dropna(), profit_per_trade_middle.describe().dropna(), profit_per_trade_late.describe().dropna()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 409,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<AxesSubplot:xlabel='Timestamp'>,\n",
       " <AxesSubplot:xlabel='Timestamp'>,\n",
       " <AxesSubplot:xlabel='Timestamp'>)"
      ]
     },
     "execution_count": 409,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ht0PT+3NEssgmv4GDr4ELF8G+v4cPZ8OY/eHuo+Cjl+JOJ/IfVdkjmAD0LjNvEXAUMLvM/M+BI9y9E+GCM3evY73D3b0guj1RhTwiybDRZtDz8lAQDrwKPlsAEw6F8b1hyQwNXyGxq3QhcPfZwKoy895y9/9p/HT3ee7+aTS5GGhkZg3TSiqSdI02gX2GheErDr0BvloKk46B2/eFxY/A2jVxJ5QclYljBEcD89x9dQXPDzGzBVHTU7MM5BGJV4PG0OVMOP916HMb/Pw93D8wHEeYN0nDV0jG1WohMLOdgeuAsypYZBTQHigAlgM3rmNdg82syMyKSkpKajqqSObV3wA6nwjnvQr9J0CDRjD13HChnFfHws8/xJ1QckStFQIz2xJ4GDjF3d8vbxl3X+Hua9x9LTAW6FLR+tx9jLsXunthfn5+7YQWiUNePdi5H5z1Apz4AGyyBTxxUeiL8OII+PHruBNKHVcrhcDMmgKPA5e6e4WnR5hZ65TJfoSDzyK5yQw69ILTn4JTn4BWnWDmn2BER3jmGg1fIbWmKqePTgbmANub2VIzG2Rm/cxsKdANeNzMpkeLDwG2Bf6Ycmpoi2g941JONb0+OsV0AdADGFZTf5hIYplB273h5IfgzGeh3b4w+/owfMX0y+Hr5XEnlDrGPIGnrhUWFnpRUVHcMUQyZ+Xb8OJwWHh/aEoqOBH2vgCat4s7mSSImRW7e2HZ+epZLJIELXaAo26Hoa9D55Ng/iS4ZXd4aDCsfCvudJJwKgQiSdKsLRw+PPRF6HYuvPVYuGralBNhWXHc6SShVAhEkmjjVnDQX2HYItjvEvjoRRjbE+7qCx++oN7KUiUqBCJJtmFz6HFpKAi9roYVi2Hi4TD+YHh3ugqCVIoKgUhd0HDjcPD4woVw2I3hzKJ7j4XR3WHRQxq+QtZJhUCkLmnQCPY4IxxU7jsa1qyGB06DkXvA63fDLz/FnVCykAqBSF1UrwEUHA/nzoVj74INNoJpQ8LwFXNv1/AV8isqBCJ1WV4e7NQHzpoNJz4ITdvAk3+AEZ3ghX/Cj1/FnVCygAqBSC4wgw4HwulPwmlPQutdYdafYXgneOav8N0XcSeUGKkQiOSarfeCkx6Ewc/DNvvB7BvCeEZPXQZff7r+10udo0Igkqt+UwDH3Q3nzYWd+sLc0WHE02lD4YtyBwyWOkqFQCTX5W8P/UbB0Hmw+0B4YwqMLIQHz4AVb8adTjJAhUBEgmZbhz4IFy6EbkPgnSdhVDeYfAIs1fAVdZkKgYj82sYt4aC/hIKw/2Xw8cswridMPBI+eF69leugqlyPYLyZrTSzRSnz+pvZYjNbm3KNgdLnLjWz98zsHTM7uIJ1NjezGWa2JLrXNYtFssWGzWH/i+HCRWFco5K34a4j4Y5eYW9BBaHOqMoewQSgd5l5i4CjgNmpM81sJ2AAsHP0mtvMrF4567wEmOXuHYBZ0bSIZJOGTWCv8+GCBXDYP+HbFTB5AIzeBxY+oOEr6oBKFwJ3nw2sKjPvLXd/p5zF+wBT3H21u38IvEf51yPuA0yMHk8E+lY2j4hkWINGsMcgOH8e9BsDa3+BBweFA8uv36XhKxKsto4RbAF8kjK9NJpXVkt3Xw4Q3beopTwiUlPq1Yddj4Nz5sBx90DDTWDa+XBzAbwyGn76Pu6EUkW1VQisnHlpNSia2WAzKzKzopKSknRWJSI1IS8PdjwCBj8HJz0EzdrBUxeHzmmzb4Afvow7oVRSbRWCpcBWKdNbAuV1WVxhZq0BovuVFa3Q3ce4e6G7F+bn59doWBFJgxlsewCc9jicPh222B2e+UsYz2jW1fDd53EnlPWorUIwDRhgZg3NrB3QAXi1guUGRo8HAlNrKY+IZEKbrnDi/WGQu/Y9w8B2wzvCk5fAV0vjTicVqMrpo5OBOcD2ZrbUzAaZWT8zWwp0Ax43s+kA7r4Y+BfwJvAUcJ67r4nWMy7lVNNrgV5mtgToFU2LSNK13hWOnQhDXoOOR8NrY+GmApg6RMNXZCHzBJ4LXFhY6EVFRXHHEJHK+vJjePmWcHbRmp9g536wz2+hVce4k+UUMyt298Ky89WzWERqX9M2cOg/Qm/lvYbCu0/D6L3h3gHwyWtxp8t5KgQikjlNWkCvP8OwhdDjcvjkFbjjQJhwOHzwnHorx0SFQEQyr3Ez2O8PYfiKg/8GX7wHd/WBcQfA20/A2rVxJ8wpKgQiEp+GTaDbeXDBG3D4CPj+C5hyfGg2WnA/rPkl7oQ5QYVAROJXvyEUngZDiuGosaGJ6KEzwvAVxRPgl9VxJ6zTVAhEJHvUqw+7HAvnvAwD7g1NSI9eEE49nXMb/PRd3AnrJBUCEck+eXmww2Fw5jNw8iOwWXuYfmnonPb8PzR8RQ1TIRCR7GUG7XvAqY/BoBmwVRd49q+hIMy8Cr6tcFQaqQIVAhFJhq26wAn3wdkvQode8OKIMJ7RE3+ALz9Z78ulYioEIpIsrTpB/zthSBF0OgaK7ghDYD9yHnz+XtzpEkmFQESSafNtoc+tMHQ+7HEGLHownGV0/6nw2cK40yWKCoGIJFvTreCQ68LwFfsMg/dmhctoTjoWPp4bd7pEUCEQkbqhST4c+KdQEHpeAcuKYPxBYfiK95/R8BXroEIgInVL46aw7+9DQeh9bRj2+u5+MLYnvPWYhq8oR1WuRzDezFaa2aKUec3NbIaZLYnum0XzTzSz+Sm3tWZWUM46rzKzZSnLHVojf5WIyAYbQddz4IL5cMTN8MP/wX0nwqhu8MZ9Gr4iRVX2CCYAvcvMuwSY5e4dgFnRNO4+yd0L3L0AOBn4yN3nV7De4aXLuvsTVQkvIrJe9RvC7gPDWUZH3wGWBw8Phlt2g6Lx8POPcSeMXaULgbvPBlaVmd0HmBg9ngj0LeelxwOTqxNORKTG1KsfTjc9+yU4fgpslA+PDYObdoWXR8Lqb+NOGJt0jxG0dPflANF9i3KWOY51F4IhZrYganpqlmYeEZF1y8uD7Q+BM2bCKdMgfzt4+nIY0RGeuy40IeWYWj1YbGZ7At+7+6IKFhkFtAcKgOXAjetY12AzKzKzopKSkhrPKiI5xgy22Q8GPgqDZkKbbvDc38LwFTOuzKnhK9ItBCvMrDVAdF/2kxvAOvYG3H2Fu69x97XAWKDLOpYd4+6F7l6Yn5+fZmwRkRRb7QHHTw7NRtv1DtdXHtEJHr8oXG+5jku3EEwDBkaPBwJTS58wszygPzCloheXFpFIP6CiPQcRkdrXqiMcc0c4sLzLseFaCDd3hkfOhZJ3405Xa6py+uhkYA6wvZktNbNBwLVALzNbAvSKpkvtCyx19w/KrGecmRVGk9eb2UIzWwD0AIal8beIiNSMzdrDkbeEK6d1GQyLHoJbu4ThK378Ku50Nc48gb3tCgsLvaioKO4YIpIrvvscXrktjHi66wDoe1vciarFzIrdvbDs/PpxhBERSZSNNocDrgQMXrgBduoL2x0Ud6oaoyEmREQqa78/QIudwuUz69BV0lQIREQqq37DMPT1tytg+uVxp6kxKgQiIlWxxW6wz4Uw/x5YMiPuNDVChUBEpKr2uxjyd4RpQ+tEE5EKgYhIVdVvGM4c+nZFGJ4i4VQIRESqo7SJaF7ym4hUCEREqiu1iSjBHc1UCEREqiu1iWj6ZXGnqTYVAhGRdGyxG+x9QdRENDPuNNWiQiAikq79L4H8HeDRZDYRqRCIiKSrtInom+WJ7GimQiAiUhO22D1qIrob3ktWE5EKgYhITdn/0tBElLCziKpyPYLxZrbSzBalzGtuZjPMbEl03yya39bMfjCz+dFtdAXrLPf1IiKJVL8h9ImaiJ6+Iu40lVaVPYIJQO8y8y4BZrl7B2BWNF3qfXcviG5nV7DOdb1eRCR5ttwd9hoKr9+VmCaiShcCd58NrCozuw8wMXo8EehbxfdP9/UiItln/0th8+0T00SU7jGClu6+HCC6b5HyXDszm2dmz5tZ92q8/lfMbLCZFZlZUUlJSZqxRURqUYNG0HdUYpqIautg8XKgjbt3Bn4L3Gtmm6SzQncf4+6F7l6Yn59fIyFFRGrNr5qIZsWdZp3SLQQrzKw1QHS/EsDdV7v7F9HjYuB9YLvKvl5EpE5ISBNRuoVgGjAwejwQmApgZvlmVi96vA3QAfigsq8XEakTGjSKOpp9Ck//Me40FarK6aOTgTnA9ma21MwGAdcCvcxsCdArmgbYF1hgZm8ADwBnu/uqaD3jzKwwWq6i14uI1A1bFsJe58PrE7O2icjcPe4MVVZYWOhFRUVxxxARqZyff4Tbu8NP38O5c6BRWodMq83Mit29sOx89SwWEaltDRpFHc0+hRnZ10SkQiAikglb7QHdhkDxBHj/mbjT/IoKgYhIpvS4HDbfLjqL6Ou40/yHCoGISKaUNhF9vSyrmohUCEREMulXTUTPxp0GUCEQEcm8HpfBZh1g2vlZ0USkQiAikmkNGoeOZl8vgxlXxp1GhUBEJBZbdYFu50HxnbE3EakQiIjEpcfl/20iWv1NbDFUCERE4lLaRPTV0ljHIlIhEBGJUxY0EakQiIjErecVsNm2oaNZDE1EKgQiInFr0Dh0NPvqk1jOIqrKMNTjzWylmS1KmdfczGaY2ZLovlk0v5eZFZvZwui+ZwXrvMrMlpnZ/Oh2aPp/kohIArXZMzQRFY2HD57L6FtXZY9gAtC7zLxLgFnu3gGYFU0DfA4c4e6dCBecuXsd6x3u7gXR7Ykq5BERqVtKm4imZvYsokoXAnefDawqM7sPMDF6PBHoGy07z90/jeYvBhqZWcP0ooqI1HENGkOfW6Mmoj9l7G3TPUbQ0t2XA0T3LcpZ5mhgnruvrmAdQ8xsQdT01CzNPCIiydama9REdAd88HxG3rJWDxab2c7AdcBZFSwyCmgPFADLgRvXsa7BZlZkZkUlJSU1HVVEJHv0uByat4epQzLSRJRuIVhhZq0BovuVpU+Y2ZbAw8Ap7v5+eS929xXuvsbd1wJjgS4VvZG7j3H3QncvzM/PTzO2iEgW22DDqKNZZpqI0i0E0wgHg4nupwKYWVPgceBSd3+poheXFpFIP2BRRcuKiOSUNl2h67kZaSKqyumjk4E5wPZmttTMBgHXAr3MbAnQK5oGGAJsC/wx5dTQFtF6xplZ6cWTr49OMV0A9ACG1cyfJSJSB/S8IjQRTRsCq7+ttbcxd6+1ldeWwsJCLyoqijuGiEjt+/ccuPMQ2GMQHFbhYdRKMbNidy8sO189i0VEstnW3aDrOfDaOPhwdq28hQqBiEi26/lHaL4NTD2vVpqIVAhERLLdBhuGsYha7QK/VNQlq/rq1/gaRUSk5m3dLdxqgfYIRERynAqBiEiOUyEQEclxKgQiIjlOhUBEJMepEIiI5DgVAhGRHJfIsYbMrAT4dzlPbU64TGaSJDEzJDN3EjNDMnMrc+ZUJffW7v4/4/gnshBUxMyKyhtQKZslMTMkM3cSM0Mycytz5tREbjUNiYjkOBUCEZEcV9cKwZi4A1RDEjNDMnMnMTMkM7cyZ07auevUMQIREam6urZHICIiVZSoQmBmG8edoTqSmFuZMyeJuZOYGZKZOxOZE1EIzGwjMxsJPGhmJ5hZu7gzVUYScytz5iQxdxIzQzJzZzJzIgoBcDWwCfBXoDNwbbxxKi2JuZU5c5KYO4mZIZm5M5Y5awuBmVl0vxGwMfB3d58NXAPkmdkVceariJk1SblvQgJym1nL6D4xmUtFmRPz/QAws3pm1hh91rUqiduQuLYfWVcIzGxbM7sduMjMfuPu3wGtgAEA7v4lcB1wjJm1ii/pf1nQ0MweAK4xswbu/i3wG7I79zZmNgX4m5nlRZlbkt2ZdzCz0WZ2gZltEmXeHDgBsjMzgJm1N7PTANx9jbv/QPZ/rzuY2U1mdraZNUvC9wOStw3Jhu1HVhUCM7sKeBB4F9gOmBQ99SdggJltHk0vAJ4DDstwxHJ5sBrIj279o6eyNreZ/Q14Gnje3Qe5+9roqT+TvZnbAfcA7wO7AqPNbDvgMuBYMysdQyVrMgOY2blAMTDMzI5OeSqbvx+XAA8Dy4D9gTuip64iSzNDMrch2bD9yKpCACwGDnH3G4HfAZ9Hv/rmET6AfwK4+0/AGqAkrqBlmVl74FtgJrCPmW3p7q8Ds8nO3BsA/+fuowDMrFX0S2Qe8CzZmXkH4HN3/wdwFvA2cArwFfAo2ZkZQuE6A/gjcIKZNQJw9/nAM8CN0XRW5I6aUr4FjnP364FTgR3MrCDl+5FVmVMkchsS9/YjqwqBu9/v7p+a2W7AO0BT4C/R6VMXAntHu6kHA/sCaytcWeZ9SvgSvgN8AxxkZk2B84G9zOysbMhtZvUA3P0ioIWZ/dnMHgVuBiZFv6qHkUWfdWlbL7AI+NHMdnD3n4EngMZAd8JGNms+ZwAzywNw9+mEX6nzgVXAOSmL/Q7onk25ge+BB919sZk1dPcfgXlAvej535J9mYFEb0Ni3X7EUgjMbNP1LLIBcJG794oeXxK1qZ5C+I//Z2CEuz9Wu0l/bT25tycM8foS8BFht25S9J/oDGBDYshdNrO7r0mZvIKw0Z8AnETYAFwQ92dtZhumTvt/u783IOzy7xPNLwKWAh2jzKcR0+cM5eZem/LYCc0sDwEHmlmHaP73wMnARmTBZ12a1d2XR49XRz8eOhOKWOyZofzcZWTdNmQ9mePdfrh7Rm+Ejc8bhAMffaN5RjgoklfO8p2BhUCTTGetSm6gNfA3YGT0DzkbuDpLMx8P1Ium88v5rDeMMfNVhF/6JwM7RfPqAf2jx6cRmiW6RtNdgYVxfs7ryJ1X9ntNOGj5d+CKaHo7oqFesjjzPsBjKd+fVkn4rFOWj30bsr7McW8/MrpHYGbXADtFH8anwAHRr43WhF24RuW8bDvgNSC2QZHWk7tZtFg+YbdtY6AbcDHQxswKMh6Y9WbelOizdvfU9sYdgVczHPU/zOxqwr/3nwkZr44OlDUmbEAhtE9/BlwZnWLXFni1Er8Qa806cm8IbAY0Km3ecvfPCHtgA83sO+BwwsY1GzOXNgU1BeZGB7oXAwenNNdlVGVyl/OyWLchlcgMcW8/MlAJSwe2awI8BbSPpn8P/K6C12wafRjPArOAPWKo4NXJvWXK482ALRKQuRGwG+FAWsY/6zKZXwDaRNNtgFeA68p5TR5wA/AI4bhBl5i/H5XNXY9w+uXcaJnu2Z45en4coV36/kxnTuOzjnUbUs3MsW0/avOD2Jywm3MRsG00byzwGDAd+DD6Yj2c+h8ZaBjdHwacEsOXrrq5N4zu84iaXRKQuVF03yPTn/U6Mt8RPd4CuJ1wkLJzyus2Svmc8zOZOc3cjUvviZq5EpC59LM+Ezg1QZ91bNuQNDLHtv1wr6WmITPbDJgM/EDoIj3azPZ09zOBy4EvgW3cvT+hWl4Zva41MNLMtnD3x939rtrIV0u5R5jZVu6+1n99QDabM98SfdbPZvKzLifzKDPbm7A73N3MxhJ+xb1IONumU/S63wDDzaxN9Dln9NS/NHPfZGZt3f0Hd78/IZlHmFlrdx/r7hMylbkGcseyDamBzzrj24//qKWq2BF4NWX6d8D1hDbrzsCjKc91I1TQ+oRfS00zXQ1rKPemCcwcy2ddQeYbgS0J7aZ78t9mrTuBI6PHsX3OSc2dZuZYvh9JzZ3E70fprbYOFr8HLDOz7tH0I4SOEPsTOgG1MbNzLfQU/RPwtbv/4uHX0pe1lKky0sn9VRyBSeZnXV7mn4A+wM/uPtfd3zezrQlt6isAYv6cIZm508n8ZQx5SyUxdxK/H0Ca/QjMrLFFvSTL2ITQeaaLmdV39/eBtwhtZj8Q2s+6E86pfszdL0snR1UlMXeOZG4XXmaNzez3wOPALHefm6nMkMzcScwMycydxMzrlcZuUEtCB5lbKni+PzAcODSabgF8ADSLphsBG2R6FyiJuXMsc9Noek9i6M+QxNxJzJzU3EnMXJlbOnsE9QgHInua2Y6lM1POL54JLAGGWOhF2Z5QLesDuPuPHsbOyLQk5s6lzBsAeNiN/j6TgSNJzJ3EzJDM3EnMvF6Vvni9mdXz6Gi2hTFUtgAOJuz27OLuR1Twut8SeiZ2An7v7o/UQO5KS2JuZc6cJOZOYubo/ROXO4mZq6USu0L1CV2frwN6pczfE7gvevwG0Jeo238569gs07s6ScytzMpd1zInNXcSM6dzW2fTkJntRxhHvRlhsK9rzGzf6OlvgJeix28QDkaekrKL9B/u/sW63qemJTG3MmdOEnMnMTMkM3cSM6er/nqeXwvc4O53A5jZLsChhAGRNgV+Z2H8kTVAEfCGR6UwZknMrcyZk8TcScwMycydxMzpWc/u0YZAQ/47UuXxhM5KFj13J3B69NyuwMtkwRHxJOZWZuWua5mTmjuJmdO9VfpgMYCZTQBed/eby8w3r8qKMiyJuZU5c5KYO4mZIZm5k5i5qip1+qiZ1YuOmLckdIbAzHa2cEm7rJXE3MqcOUnMncTMkMzcScxcXZXtR7CWcHWoz4FdLVza8KJoHllcFZOYW5kzJ4m5k5gZkpk7iZmrpwrtZl0JH8yLwKC427Tqcm5lVu66ljmpuZOYuTq3qnQo25Jwtat/uvvqalWdGCQxtzJnThJzJzEzJDN3EjNXR5UOFouISN2T0WsWi4hI9lEhEBHJcSoEIiI5ToVARCTHqRCIiOQ4FQKp08xsMzObH90+M7Nl0eNvzey2Wnzf/c1sr9pav0hNWt/ooyKJ5mEo4AIAM7sK+Nbdb8jAW+8PfEsYkEwkq2mPQHJS9Iv9sejxVWY20cyeNrOPzOwoM7vezBaa2VNm1iBabncze97Mis1supm1juYPNbM3zWyBmU0xs7bA2cCwaO+ju5kdYWZzzWyemc00s5ZVfO+PzOw6M3s1um0bywcndZIKgUjQHjgM6APcAzzr7p2AH4DDog3yLcAx7r47MB64JnrtJUBnd98FONvdPwJGA8PdvcDdXyAMUdDV3TsDU4A/VPa9U5b72t27ACOBETX890sOU9OQSPCku/9sZgsJFyh/Kpq/EGgLbA90BGZYuBhVPWB5tMwCYJKZPQI8UsH6twTui/YiNgA+rMJ7l5qccj+8yn+hSAW0RyASrAZw97XAz/7fsVfWEn4wGbA4+oVf4O6d3P2gaJnDgFuB3YFiMyvvB9YtwMjol/5ZQKMqvHcpr+CxSFpUCEQq5x0g38y6AZhZg2hs+jxgK3d/ltDc0xRoQri27cYpr98UWBY9HljNDMel3M+p5jpE/oeahkQqwd1/MrNjgJvNbFPC/50RhIub3xPNM8JxgS+jsesfMLM+wPnAVcD9ZrYMeAVoV40YDc1sLuEH3PHp/k0ipTT6qEgCmNlHQKG7fx53Fql71DQkIpLjtEcgIpLjtEcgIpLjVAhERHKcCoGISI5TIRARyXEqBCIiOU6FQEQkx/0/DxNaKc10MHEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the results for the early profit per trade DataFrame\n",
    "profit_per_trade_early.plot(),profit_per_trade_middle.plot(),profit_per_trade_late.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7. Calculate the potential arbitrage profits that you can make on each day. To do so, sum the elements in the profit_per_trade DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 410,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 330.0699999999997, 0.0)"
      ]
     },
     "execution_count": 410,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the sum of the potential profits for the early profit per trade DataFrame\n",
    "profit_per_trade_early.sum(),profit_per_trade_middle.sum(), profit_per_trade_late.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 8. Using the `cumsum` function, plot the cumulative sum of each of the three DataFrames. Can you identify any patterns or trends in the profits across the three time periods?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 411,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Series([], Name: Close, dtype: float64),\n",
       " Timestamp\n",
       " 2018-02-24 08:32:00    121.32\n",
       " 2018-02-24 09:32:00    228.32\n",
       " 2018-02-24 09:39:00    330.07\n",
       " Name: Close, dtype: float64,\n",
       " Series([], Name: Close, dtype: float64))"
      ]
     },
     "execution_count": 411,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use the cumsum function to calculate the cumulative profits over time for the early profit per trade DataFrame\n",
    "cumulative_profit_early = profit_per_trade_early.cumsum()\n",
    "cumulative_profit_middle = profit_per_trade_middle.cumsum()\n",
    "cumulative_profit_late = profit_per_trade_late.cumsum()\n",
    "\n",
    "cumulative_profit_early, cumulative_profit_middle, cumulative_profit_late"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 413,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Timestamp'>"
      ]
     },
     "execution_count": 413,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the cumulative sum of profits for the early profit per trade DataFrame\n",
    "cumulative_profit_early.plot()\n",
    "cumulative_profit_middle.plot()\n",
    "cumulative_profit_late.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Question:** After reviewing the profit information across each date from the different time periods, can you identify any patterns or trends?\n",
    "    \n",
    "**Answer:** YOUR ANSWER HERE"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}