From abe08023f9270724f7e344ca9142ff5f9f9ae716 Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Wed, 8 Jan 2025 15:12:29 +0100 Subject: [PATCH 01/12] Modernise my old document type classification notebook and run it on the latest Fedlex data --- .../VM_document_type_classifier.ipynb | 1763 +++++++++++++++++ research/lib/plotting.py | 23 + 2 files changed, 1786 insertions(+) create mode 100644 research/document_types/VM_document_type_classifier.ipynb diff --git a/research/document_types/VM_document_type_classifier.ipynb b/research/document_types/VM_document_type_classifier.ipynb new file mode 100644 index 0000000..f5ca77c --- /dev/null +++ b/research/document_types/VM_document_type_classifier.ipynb @@ -0,0 +1,1763 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Setup" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: MLFLOW_TRACKING_URI=sqlite:///mlruns.db\n" + ] + } + ], + "source": [ + "DATA_FILE_NAME = \"consultation-documents-preprocessed-2025-01-06.parquet\"\n", + "\n", + "DOCUMENT_SOURCES = {\n", + " \"fedlex\",\n", + " # \"openparldata\",\n", + "}\n", + "LANGUAGES = {\n", + " \"de\",\n", + " # \"fr\",\n", + " # \"it\",\n", + "}\n", + "\n", + "# EMBEDDING_MODEL = \"openai/text-embedding-ada-002\"\n", + "EMBEDDING_MODEL = \"openai/text-embedding-3-large\"\n", + "\n", + "# FROM_YEAR = 2010\n", + "FROM_YEAR = 2000\n", + "\n", + "CV_FOLDS = 5\n", + "TEST_SIZE = 0.1\n", + "RANDOM_STATE = 2718\n", + "USE_TEST_SET = True\n", + "\n", + "%env MLFLOW_TRACKING_URI=sqlite:///mlruns.db" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "import logging\n", + "import pathlib\n", + "import sys\n", + "from typing import Any\n", + "\n", + "import dotenv\n", + "import mlflow\n", + "import numpy as np\n", + "import sklearn.metrics\n", + "import sklearn.model_selection\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.pipeline import Pipeline, make_pipeline\n", + "from sklearn.preprocessing import OrdinalEncoder, StandardScaler\n", + "from tqdm import tqdm\n", + "\n", + "REPOSITORY_ROOT = (pathlib.Path().cwd() / \"..\" / \"..\").resolve()\n", + "sys.path.append(str(REPOSITORY_ROOT))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from research.lib import data_access, embeddings, plotting" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dotenv.load_dotenv()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting run: welcoming-sheep-370\n" + ] + }, + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mlflow.set_experiment(f\"V1. {'&'.join(sorted(LANGUAGES))}. document types\")\n", + "\n", + "if run := mlflow.active_run():\n", + " logging.warning(\"Run = %s is already active, closing it.\", run.info.run_name)\n", + " mlflow.end_run()\n", + "run = mlflow.start_run()\n", + "print(\"Starting run:\", run.info.run_name)\n", + "mlflow.log_param(\"input_file\", DATA_FILE_NAME)\n", + "mlflow.log_param(\"document_sources\", sorted(DOCUMENT_SOURCES))\n", + "mlflow.log_param(\"languages\", LANGUAGES)\n", + "mlflow.log_param(\"from_year\", FROM_YEAR)\n", + "mlflow.log_param(\"embedding_model\", EMBEDDING_MODEL)\n", + "mlflow.log_param(\"cv_folds\", CV_FOLDS)\n", + "mlflow.log_param(\"test_size\", TEST_SIZE)\n", + "mlflow.log_param(\"random_state\", RANDOM_STATE)\n", + ";" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025/01/08 15:06:49 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" + ] + } + ], + "source": [ + "mlflow.sklearn.autolog()\n", + "tqdm.pandas()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Input data preparation" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "PREPROCESSED_DATA_FILE = REPOSITORY_ROOT / \"data\" / \"dataframes\" / DATA_FILE_NAME\n", + "data_access.ensure_dataframe_is_available(PREPROCESSED_DATA_FILE)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/data/dataset_source_registry.py:149: UserWarning: Failed to determine whether UCVolumeDatasetSource can resolve source information for '/Users/vita/Code/demokratis/demokratis-ml/data/dataframes/consultation-documents-preprocessed-2025-01-06.parquet'. Exception: \n", + " return _dataset_source_registry.resolve(\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/data/dataset_source_registry.py:149: UserWarning: The specified dataset source can be interpreted in multiple ways: LocalArtifactDatasetSource, LocalArtifactDatasetSource. MLflow will assume that this is a LocalArtifactDatasetSource source.\n", + " return _dataset_source_registry.resolve(\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/types/utils.py:407: UserWarning: Hint: Inferred schema contains integer column(s). Integer columns in Python cannot represent missing values. If your input data contains missing values at inference time, it will be encoded as floats and will cause a schema enforcement error. The best way to avoid this problem is to infer the model schema based on a realistic data sample (training dataset) that includes missing values. Alternatively, you can declare integer columns as doubles (float64) whenever these columns may have missing values. See `Handling Integers With Missing Values `_ for more details.\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
document_idconsultation_idconsultation_start_dateconsultation_end_dateconsultation_titleconsultation_descriptiondocument_source_urlconsultation_urlconsultation_topicsdocument_typedocument_languagedocument_titleorganisation_idorganisation_namepolitical_bodyconsultation_reviewed_atdocument_sourceconsultation_topics_label_sourcedocument_content_plain
0112021-10-012022-01-17Verordnung des BAZG über die Bekämpfung von G...Mit der am 19. März 2021 durch das Parlament b...https://fedlex.data.admin.ch/filestore/fedlex....https://www.demokratis.ch/vernehmlassung/7bt3hz2w[administration, finance, security]DRAFTdeVernehmlassungsvorlage41Bundesamt für Zoll und Grenzsicherheitch2024-11-04 15:11:24fedlexmanual«$$e-seal» \\n«$$QrCode» \\n \\n2021-… \\n«%ASFF_Y...
3412021-10-012022-01-17Verordnung des BAZG über die Bekämpfung von G...Mit der am 19. März 2021 durch das Parlament b...https://fedlex.data.admin.ch/filestore/fedlex....https://www.demokratis.ch/vernehmlassung/7bt3hz2w[administration, finance, security]RECIPIENT_LISTdeAdressatenliste41Bundesamt für Zoll und Grenzsicherheitch2024-11-04 15:11:24fedlexmanualEidgenössisches Finanzdepartement EFD \\nEidgen...
6712021-10-012022-01-17Verordnung des BAZG über die Bekämpfung von G...Mit der am 19. März 2021 durch das Parlament b...https://fedlex.data.admin.ch/filestore/fedlex....https://www.demokratis.ch/vernehmlassung/7bt3hz2w[administration, finance, security]LETTERdeBegleitschreiben 241Bundesamt für Zoll und Grenzsicherheitch2024-11-04 15:11:24fedlexmanualEidgenössisches Finanzdepartement EFD \\nEidgen...
91012021-10-012022-01-17Verordnung des BAZG über die Bekämpfung von G...Mit der am 19. März 2021 durch das Parlament b...https://fedlex.data.admin.ch/filestore/fedlex....https://www.demokratis.ch/vernehmlassung/7bt3hz2w[administration, finance, security]REPORTdeErläuternder Bericht41Bundesamt für Zoll und Grenzsicherheitch2024-11-04 15:11:24fedlexmanual1. Oktober 2021 \\n \\n \\n \\n \\nVerordnung des B...
121312021-10-012022-01-17Verordnung des BAZG über die Bekämpfung von G...Mit der am 19. März 2021 durch das Parlament b...https://fedlex.data.admin.ch/filestore/fedlex....https://www.demokratis.ch/vernehmlassung/7bt3hz2w[administration, finance, security]LETTERdeBegleitschreiben 141Bundesamt für Zoll und Grenzsicherheitch2024-11-04 15:11:24fedlexmanualEidgenössisches Finanzdepartement EFD \\nEidgen...
............................................................
520275363649402024-12-202025-04-03Indirekter Gegenvorschlag (Änderung des Kernen...Das Verbot des Erteilens der Rahmenbewilligung...https://fedlex.data.admin.ch/filestore/fedlex....https://www.demokratis.ch/vernehmlassung/2b64exk2[energy, spatial_planning]LETTERdeBegleitschreiben44Bundesamt für Energiech2024-11-05 11:39:50fedlexmanualSchweizerische Eidgenossenschaft\\nConfëdëratio...
520305363949402024-12-202025-04-03Indirekter Gegenvorschlag (Änderung des Kernen...Das Verbot des Erteilens der Rahmenbewilligung...https://fedlex.data.admin.ch/filestore/fedlex....https://www.demokratis.ch/vernehmlassung/2b64exk2[energy, spatial_planning]LETTERdeBegleitschreiben-244Bundesamt für Energiech2024-11-05 11:39:50fedlexmanualSchweizerische Eidgenossenschaft\\nConfëdëratio...
520335364249402024-12-202025-04-03Indirekter Gegenvorschlag (Änderung des Kernen...Das Verbot des Erteilens der Rahmenbewilligung...https://fedlex.data.admin.ch/filestore/fedlex....https://www.demokratis.ch/vernehmlassung/2b64exk2[energy, spatial_planning]REPORTdeErläuternder Bericht44Bundesamt für Energiech2024-11-05 11:39:50fedlexmanualBFE-D-BDD93401/157\\n \\nEidgenössisches Departe...
520365364549402024-12-202025-04-03Indirekter Gegenvorschlag (Änderung des Kernen...Das Verbot des Erteilens der Rahmenbewilligung...https://fedlex.data.admin.ch/filestore/fedlex....https://www.demokratis.ch/vernehmlassung/2b64exk2[energy, spatial_planning]SYNOPTIC_TABLEdeSynoptische Tabelle44Bundesamt für Energiech2024-11-05 11:39:50fedlexmanualÄnderungen des Kernenergiegesetzes (KEG, SR 73...
520475366048442024-08-282024-11-30Änderung des LuftfahrtgesetzesMit der Änderung der Luftfahrtgesetzes (LFG) w...https://fedlex.data.admin.ch/filestore/fedlex....https://www.demokratis.ch/vernehmlassung/cc6jc49c[law, security, transportation]OPINIONdeStellungnahmen42Bundesamt für Zivilluftfahrtch2024-10-31 12:16:41fedlexmanualSymmetrische Verkehrsstatistiken – Neue Perspe...
\n", + "

13156 rows × 19 columns

\n", + "
" + ], + "text/plain": [ + " document_id consultation_id consultation_start_date \\\n", + "0 1 1 2021-10-01 \n", + "3 4 1 2021-10-01 \n", + "6 7 1 2021-10-01 \n", + "9 10 1 2021-10-01 \n", + "12 13 1 2021-10-01 \n", + "... ... ... ... \n", + "52027 53636 4940 2024-12-20 \n", + "52030 53639 4940 2024-12-20 \n", + "52033 53642 4940 2024-12-20 \n", + "52036 53645 4940 2024-12-20 \n", + "52047 53660 4844 2024-08-28 \n", + "\n", + " consultation_end_date \\\n", + "0 2022-01-17 \n", + "3 2022-01-17 \n", + "6 2022-01-17 \n", + "9 2022-01-17 \n", + "12 2022-01-17 \n", + "... ... \n", + "52027 2025-04-03 \n", + "52030 2025-04-03 \n", + "52033 2025-04-03 \n", + "52036 2025-04-03 \n", + "52047 2024-11-30 \n", + "\n", + " consultation_title \\\n", + "0 Verordnung des BAZG über die Bekämpfung von G... \n", + "3 Verordnung des BAZG über die Bekämpfung von G... \n", + "6 Verordnung des BAZG über die Bekämpfung von G... \n", + "9 Verordnung des BAZG über die Bekämpfung von G... \n", + "12 Verordnung des BAZG über die Bekämpfung von G... \n", + "... ... \n", + "52027 Indirekter Gegenvorschlag (Änderung des Kernen... \n", + "52030 Indirekter Gegenvorschlag (Änderung des Kernen... \n", + "52033 Indirekter Gegenvorschlag (Änderung des Kernen... \n", + "52036 Indirekter Gegenvorschlag (Änderung des Kernen... \n", + "52047 Änderung des Luftfahrtgesetzes \n", + "\n", + " consultation_description \\\n", + "0 Mit der am 19. März 2021 durch das Parlament b... \n", + "3 Mit der am 19. März 2021 durch das Parlament b... \n", + "6 Mit der am 19. März 2021 durch das Parlament b... \n", + "9 Mit der am 19. März 2021 durch das Parlament b... \n", + "12 Mit der am 19. März 2021 durch das Parlament b... \n", + "... ... \n", + "52027 Das Verbot des Erteilens der Rahmenbewilligung... \n", + "52030 Das Verbot des Erteilens der Rahmenbewilligung... \n", + "52033 Das Verbot des Erteilens der Rahmenbewilligung... \n", + "52036 Das Verbot des Erteilens der Rahmenbewilligung... \n", + "52047 Mit der Änderung der Luftfahrtgesetzes (LFG) w... \n", + "\n", + " document_source_url \\\n", + "0 https://fedlex.data.admin.ch/filestore/fedlex.... \n", + "3 https://fedlex.data.admin.ch/filestore/fedlex.... \n", + "6 https://fedlex.data.admin.ch/filestore/fedlex.... \n", + "9 https://fedlex.data.admin.ch/filestore/fedlex.... \n", + "12 https://fedlex.data.admin.ch/filestore/fedlex.... \n", + "... ... \n", + "52027 https://fedlex.data.admin.ch/filestore/fedlex.... \n", + "52030 https://fedlex.data.admin.ch/filestore/fedlex.... \n", + "52033 https://fedlex.data.admin.ch/filestore/fedlex.... \n", + "52036 https://fedlex.data.admin.ch/filestore/fedlex.... \n", + "52047 https://fedlex.data.admin.ch/filestore/fedlex.... \n", + "\n", + " consultation_url \\\n", + "0 https://www.demokratis.ch/vernehmlassung/7bt3hz2w \n", + "3 https://www.demokratis.ch/vernehmlassung/7bt3hz2w \n", + "6 https://www.demokratis.ch/vernehmlassung/7bt3hz2w \n", + "9 https://www.demokratis.ch/vernehmlassung/7bt3hz2w \n", + "12 https://www.demokratis.ch/vernehmlassung/7bt3hz2w \n", + "... ... \n", + "52027 https://www.demokratis.ch/vernehmlassung/2b64exk2 \n", + "52030 https://www.demokratis.ch/vernehmlassung/2b64exk2 \n", + "52033 https://www.demokratis.ch/vernehmlassung/2b64exk2 \n", + "52036 https://www.demokratis.ch/vernehmlassung/2b64exk2 \n", + "52047 https://www.demokratis.ch/vernehmlassung/cc6jc49c \n", + "\n", + " consultation_topics document_type document_language \\\n", + "0 [administration, finance, security] DRAFT de \n", + "3 [administration, finance, security] RECIPIENT_LIST de \n", + "6 [administration, finance, security] LETTER de \n", + "9 [administration, finance, security] REPORT de \n", + "12 [administration, finance, security] LETTER de \n", + "... ... ... ... \n", + "52027 [energy, spatial_planning] LETTER de \n", + "52030 [energy, spatial_planning] LETTER de \n", + "52033 [energy, spatial_planning] REPORT de \n", + "52036 [energy, spatial_planning] SYNOPTIC_TABLE de \n", + "52047 [law, security, transportation] OPINION de \n", + "\n", + " document_title organisation_id \\\n", + "0 Vernehmlassungsvorlage 41 \n", + "3 Adressatenliste 41 \n", + "6 Begleitschreiben 2 41 \n", + "9 Erläuternder Bericht 41 \n", + "12 Begleitschreiben 1 41 \n", + "... ... ... \n", + "52027 Begleitschreiben 44 \n", + "52030 Begleitschreiben-2 44 \n", + "52033 Erläuternder Bericht 44 \n", + "52036 Synoptische Tabelle 44 \n", + "52047 Stellungnahmen 42 \n", + "\n", + " organisation_name political_body \\\n", + "0 Bundesamt für Zoll und Grenzsicherheit ch \n", + "3 Bundesamt für Zoll und Grenzsicherheit ch \n", + "6 Bundesamt für Zoll und Grenzsicherheit ch \n", + "9 Bundesamt für Zoll und Grenzsicherheit ch \n", + "12 Bundesamt für Zoll und Grenzsicherheit ch \n", + "... ... ... \n", + "52027 Bundesamt für Energie ch \n", + "52030 Bundesamt für Energie ch \n", + "52033 Bundesamt für Energie ch \n", + "52036 Bundesamt für Energie ch \n", + "52047 Bundesamt für Zivilluftfahrt ch \n", + "\n", + " consultation_reviewed_at document_source \\\n", + "0 2024-11-04 15:11:24 fedlex \n", + "3 2024-11-04 15:11:24 fedlex \n", + "6 2024-11-04 15:11:24 fedlex \n", + "9 2024-11-04 15:11:24 fedlex \n", + "12 2024-11-04 15:11:24 fedlex \n", + "... ... ... \n", + "52027 2024-11-05 11:39:50 fedlex \n", + "52030 2024-11-05 11:39:50 fedlex \n", + "52033 2024-11-05 11:39:50 fedlex \n", + "52036 2024-11-05 11:39:50 fedlex \n", + "52047 2024-10-31 12:16:41 fedlex \n", + "\n", + " consultation_topics_label_source \\\n", + "0 manual \n", + "3 manual \n", + "6 manual \n", + "9 manual \n", + "12 manual \n", + "... ... \n", + "52027 manual \n", + "52030 manual \n", + "52033 manual \n", + "52036 manual \n", + "52047 manual \n", + "\n", + " document_content_plain \n", + "0 «$$e-seal» \\n«$$QrCode» \\n \\n2021-… \\n«%ASFF_Y... \n", + "3 Eidgenössisches Finanzdepartement EFD \\nEidgen... \n", + "6 Eidgenössisches Finanzdepartement EFD \\nEidgen... \n", + "9 1. Oktober 2021 \\n \\n \\n \\n \\nVerordnung des B... \n", + "12 Eidgenössisches Finanzdepartement EFD \\nEidgen... \n", + "... ... \n", + "52027 Schweizerische Eidgenossenschaft\\nConfëdëratio... \n", + "52030 Schweizerische Eidgenossenschaft\\nConfëdëratio... \n", + "52033 BFE-D-BDD93401/157\\n \\nEidgenössisches Departe... \n", + "52036 Änderungen des Kernenergiegesetzes (KEG, SR 73... \n", + "52047 Symmetrische Verkehrsstatistiken – Neue Perspe... \n", + "\n", + "[13156 rows x 19 columns]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_input = data_access.load_consultation_documents(\n", + " PREPROCESSED_DATA_FILE,\n", + " only_document_sources=DOCUMENT_SOURCES,\n", + " only_languages=LANGUAGES,\n", + " starting_year=FROM_YEAR,\n", + " mlflow=mlflow,\n", + ")\n", + "df_input" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "document_type\n", + "LETTER 3084\n", + "DRAFT 2898\n", + "REPORT 2153\n", + "RECIPIENT_LIST 1770\n", + "FINAL_REPORT 1747\n", + "OPINION 985\n", + "VARIOUS_TEXT 418\n", + "SYNOPTIC_TABLE 81\n", + "SURVEY 13\n", + "RESPONSE_FORM 7\n", + "DECISION 0\n", + "LINK 0\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_input[\"document_type\"].value_counts(dropna=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define the target" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "y_encoder = OrdinalEncoder(dtype=int)\n", + "df_input[\"document_type_code\"] = y_encoder.fit_transform(df_input[[\"document_type\"]])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Drop empty documents" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Empty texts: 705 (5.4%)\n" + ] + } + ], + "source": [ + "empty_index = df_input[\"document_content_plain\"] == \"\"\n", + "empty_count = len(df_input[empty_index])\n", + "print(f\"Empty texts: {empty_count} ({100 * empty_count / len(df_input):.1f}%)\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "df_input = df_input.loc[~empty_index]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Splits" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set aside a test set" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "splitter = sklearn.model_selection.StratifiedShuffleSplit(\n", + " n_splits=1,\n", + " test_size=TEST_SIZE,\n", + " random_state=RANDOM_STATE,\n", + ")\n", + "\n", + "train_index, test_index = next(splitter.split(X=df_input, y=df_input[\"document_type_code\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train: (11205, 20)\n", + "Test: (1246, 20)\n" + ] + } + ], + "source": [ + "df_input_train = df_input.iloc[train_index]\n", + "df_input_test = df_input.iloc[test_index]\n", + "\n", + "print(\"Train:\", df_input_train.shape)\n", + "print(\"Test:\", df_input_test.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1246" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mlflow.log_param(\"train_samples_count\", len(df_input_train))\n", + "mlflow.log_param(\"test_samples_count\", len(df_input_test))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Prepare a cross-validation splitter" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "cv_splitter = sklearn.model_selection.StratifiedKFold(\n", + " n_splits=CV_FOLDS,\n", + " shuffle=True,\n", + " random_state=RANDOM_STATE,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Embeddings" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Tokenise and truncate to input window" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 11205/11205 [00:40<00:00, 279.34it/s]\n", + "100%|██████████| 1246/1246 [00:04<00:00, 287.83it/s]\n" + ] + } + ], + "source": [ + "embedding_model = embeddings.create_embedding_model(EMBEDDING_MODEL)\n", + "mlflow.log_param(\"embedding_model.max_input_tokens\", embedding_model.max_input_tokens)\n", + "\n", + "tokens_train = df_input_train[\"document_content_plain\"].progress_map(embedding_model.tokenize)\n", + "tokens_test = df_input_test[\"document_content_plain\"].progress_map(embedding_model.tokenize)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Embed" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Embedding (cached=11204, new=0): 100%|██████████| 11205/11205 [00:09<00:00, 1233.54it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(11205, 3072)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Embedding (cached=1245, new=0): 100%|██████████| 1246/1246 [00:01<00:00, 1211.96it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1246, 3072)\n" + ] + } + ], + "source": [ + "with embeddings.use_cache(\n", + " embedding_model,\n", + " tqdm=tqdm,\n", + " cache_directory=REPOSITORY_ROOT / \"data\" / \"embeddings-cache\",\n", + ") as get_embeddings:\n", + " embeddings_train = get_embeddings(tokens_train.tolist())\n", + " print(embeddings_train.shape)\n", + " embeddings_test = get_embeddings(tokens_test.tolist())\n", + " print(embeddings_test.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Classification" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train (11205, 3072) (11205,)\n", + "Test (1246, 3072) (1246,)\n" + ] + } + ], + "source": [ + "X_train = embeddings_train\n", + "X_test = embeddings_test\n", + "y_train = df_input_train[\"document_type_code\"]\n", + "y_test = df_input_test[\"document_type_code\"]\n", + "\n", + "print(\"Train\", X_train.shape, y_train.shape)\n", + "print(\"Test\", X_test.shape, y_test.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Pipeline(steps=[('standardscaler', StandardScaler()),\n",
+       "                ('logisticregression', LogisticRegression(max_iter=1000))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "Pipeline(steps=[('standardscaler', StandardScaler()),\n", + " ('logisticregression', LogisticRegression(max_iter=1000))])" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "classifier = make_pipeline(\n", + " StandardScaler(),\n", + " # PCA(n_components=200, random_state=RANDOM_STATE),\n", + " LogisticRegression(max_iter=1000),\n", + ")\n", + "classifier" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "if \"pca\" in classifier.named_steps:\n", + " mlflow.log_param(\"pca_n_components\", classifier.named_steps[\"pca\"].get_params()[\"n_components\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" + ] + }, + { + "data": { + "text/plain": [ + "{'fit_time': array([1.35345197, 0.99302292, 0.93358898, 1.139956 , 0.91577888]),\n", + " 'score_time': array([0.04863 , 0.02204704, 0.02182412, 0.02105498, 0.02156615]),\n", + " 'test_precision': array([0.94604148, 0.95137891, 0.94749069, 0.95067906, 0.94861341]),\n", + " 'test_recall': array([0.94957608, 0.95403838, 0.95046854, 0.95314592, 0.95046854]),\n", + " 'test_f1': array([0.94739411, 0.95250867, 0.94856175, 0.95127688, 0.94939214]),\n", + " 'test_pca_explained_variance': array([nan, nan, nan, nan, nan])}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def explained_variance_scorer(pipeline: Pipeline, X: Any, y: Any = None) -> np.float64:\n", + " try:\n", + " pca = pipeline.named_steps[\"pca\"]\n", + " except KeyError:\n", + " return np.nan\n", + " explained_variance = np.sum(pca.explained_variance_ratio_)\n", + " return explained_variance\n", + "\n", + "\n", + "scoring = {\n", + " \"precision\": \"precision_weighted\",\n", + " \"recall\": \"recall_weighted\",\n", + " \"f1\": \"f1_weighted\",\n", + " \"pca_explained_variance\": explained_variance_scorer,\n", + "}\n", + "\n", + "scores_docs = sklearn.model_selection.cross_validate(\n", + " classifier,\n", + " X=X_train,\n", + " y=y_train,\n", + " cv=cv_splitter,\n", + " scoring=scoring,\n", + ")\n", + "scores_docs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Evaluation of the cross-validation" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Per-document CV scores:\n", + "Precision: 0.9488 (+/- 0.0020)\n", + "Recall: 0.9515 (+/- 0.0017)\n", + "F1: 0.9498 (+/- 0.0018)\n" + ] + } + ], + "source": [ + "avg_scores_docs = {k: np.round(np.mean(v), 4) for k, v in scores_docs.items()}\n", + "mlflow.log_metrics({f\"{k}_docs\": v for k, v in avg_scores_docs.items() if k.startswith(\"test_\")})\n", + "\n", + "print(\"Per-document CV scores:\")\n", + "print(f\"Precision: {avg_scores_docs['test_precision']:.4f} (+/- {np.std(scores_docs['test_precision']):.4f})\")\n", + "print(f\"Recall: {avg_scores_docs['test_recall']:.4f} (+/- {np.std(scores_docs['test_recall']):.4f})\")\n", + "print(f\"F1: {avg_scores_docs['test_f1']:.4f} (+/- {np.std(scores_docs['test_f1']):.4f})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Use subsets of the training set to re-train and evaluate. This gives us a single model to run reports on. " + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "cv_test_splitter = sklearn.model_selection.StratifiedShuffleSplit(\n", + " n_splits=1,\n", + " test_size=TEST_SIZE,\n", + " random_state=RANDOM_STATE,\n", + ")\n", + "\n", + "cv_train_index, cv_test_index = next(cv_test_splitter.split(X=X_train, y=y_train))\n", + "\n", + "X_cv_train = X_train[cv_train_index]\n", + "y_cv_train = y_train.iloc[cv_train_index]\n", + "X_cv_test = X_train[cv_test_index]\n", + "y_cv_test = y_train.iloc[cv_test_index]" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025/01/08 15:08:57 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/08 15:09:01 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + ] + } + ], + "source": [ + "classifier.fit(X_cv_train, y_cv_train)\n", + "cv_test_predictions = classifier.predict(X_cv_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " DRAFT 0.94 0.93 0.94 259\n", + " FINAL_REPORT 0.99 0.98 0.98 157\n", + " LETTER 0.99 1.00 0.99 221\n", + " OPINION 0.98 0.98 0.98 87\n", + "RECIPIENT_LIST 1.00 1.00 1.00 158\n", + " REPORT 0.93 0.95 0.94 193\n", + " RESPONSE_FORM 0.00 0.00 0.00 1\n", + " SURVEY 0.00 0.00 0.00 1\n", + "SYNOPTIC_TABLE 0.00 0.00 0.00 7\n", + " VARIOUS_TEXT 0.62 0.62 0.62 37\n", + "\n", + " accuracy 0.95 1121\n", + " macro avg 0.64 0.65 0.65 1121\n", + " weighted avg 0.95 0.95 0.95 1121\n", + "\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "target_names = y_encoder.categories_[0]\n", + "print(\n", + " sklearn.metrics.classification_report(\n", + " y_cv_test,\n", + " cv_test_predictions,\n", + " target_names=target_names,\n", + " labels=range(len(target_names)),\n", + " )\n", + ")\n", + "\n", + "display(plotting.plot_confusion_matrix_heatmap(y_cv_test, cv_test_predictions, target_names=target_names))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Evaluation on the test set (USE SPARINGLY)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025/01/08 15:09:02 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/08 15:09:05 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "docs: ground truth (1246,)\n", + "docs: predictions (1246,)\n", + " precision recall f1-score support\n", + "\n", + " DRAFT 0.94 0.96 0.95 288\n", + " FINAL_REPORT 0.98 1.00 0.99 174\n", + " LETTER 1.00 1.00 1.00 245\n", + " OPINION 1.00 0.95 0.97 97\n", + "RECIPIENT_LIST 0.99 1.00 1.00 176\n", + " REPORT 0.96 0.97 0.97 214\n", + " RESPONSE_FORM 1.00 1.00 1.00 1\n", + " SURVEY 1.00 1.00 1.00 1\n", + "SYNOPTIC_TABLE 0.40 0.25 0.31 8\n", + " VARIOUS_TEXT 0.65 0.57 0.61 42\n", + "\n", + " accuracy 0.96 1246\n", + " macro avg 0.89 0.87 0.88 1246\n", + " weighted avg 0.96 0.96 0.96 1246\n", + "\n" + ] + } + ], + "source": [ + "if USE_TEST_SET:\n", + " classifier.fit(X_train, y_train)\n", + " test_ground_truth_docs = y_test\n", + " test_predictions_docs = classifier.predict(X_test)\n", + "\n", + " print(\"docs: ground truth\", test_ground_truth_docs.shape)\n", + " print(\"docs: predictions\", test_predictions_docs.shape)\n", + "\n", + " print(\n", + " sklearn.metrics.classification_report(\n", + " test_ground_truth_docs,\n", + " test_predictions_docs,\n", + " target_names=y_encoder.categories_[0],\n", + " labels=range(len(y_encoder.categories_[0])),\n", + " )\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if USE_TEST_SET:\n", + " display(\n", + " plotting.plot_confusion_matrix_heatmap(\n", + " test_ground_truth_docs, test_predictions_docs, target_names=y_encoder.categories_[0]\n", + " )\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "***" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# End MLflow run" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "mlflow.end_run()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.12.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/research/lib/plotting.py b/research/lib/plotting.py index 797f22a..9b2de4b 100644 --- a/research/lib/plotting.py +++ b/research/lib/plotting.py @@ -72,3 +72,26 @@ def plot_score_against_support( plt.ylim(*ylim) plt.close(fig) return fig + + +def plot_confusion_matrix_heatmap( + ground_truth: np.ndarray, + predictions: np.ndarray, + target_names: list[str], +) -> matplotlib.figure.Figure: + """Plot the confusion matrix as a heatmap.""" + confusion_matrix = sklearn.metrics.confusion_matrix(ground_truth, predictions, normalize="true") + fig, ax = plt.subplots(figsize=(8, 6)) + sns.heatmap( + confusion_matrix, + annot=True, + cmap="Blues", + xticklabels=target_names, + yticklabels=target_names, + ax=ax, + ) + plt.xlabel("Predicted") + plt.ylabel("True") + plt.title("Confusion matrix") + plt.close(fig) + return fig From f0a8b3fc26d0862477346c7214585f7501f5501f Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Mon, 13 Jan 2025 11:06:16 +0100 Subject: [PATCH 02/12] Add the rule-based OPD type labeller for comparison with the trained ML model and with manually recorded labels --- .gitignore | 2 + pyproject.toml | 1 + .../VM_document_type_classifier.ipynb | 1040 ++++++++++++++++- .../document_title_rule_model.py | 219 ++++ research/document_types/ground_truth.xlsx | Bin 0 -> 11674 bytes uv.lock | 35 +- 6 files changed, 1234 insertions(+), 63 deletions(-) create mode 100644 research/document_types/document_title_rule_model.py create mode 100644 research/document_types/ground_truth.xlsx diff --git a/.gitignore b/.gitignore index 8a91a15..f95750e 100644 --- a/.gitignore +++ b/.gitignore @@ -11,6 +11,8 @@ research/document_types/mlruns/* .vscode/* .prefect/* +~$*.xlsx + # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] diff --git a/pyproject.toml b/pyproject.toml index 285e923..fe20985 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,6 +24,7 @@ dependencies = [ "s3fs[boto3]>=2024.10.0", "tiktoken>=0.8.0", "tqdm>=4.67.1", + "openpyxl>=3.1.5", ] [tool.uv] diff --git a/research/document_types/VM_document_type_classifier.ipynb b/research/document_types/VM_document_type_classifier.ipynb index f5ca77c..e00ac67 100644 --- a/research/document_types/VM_document_type_classifier.ipynb +++ b/research/document_types/VM_document_type_classifier.ipynb @@ -42,16 +42,25 @@ "CV_FOLDS = 5\n", "TEST_SIZE = 0.1\n", "RANDOM_STATE = 2718\n", - "USE_TEST_SET = True\n", + "USE_TEST_SET = False\n", "\n", "%env MLFLOW_TRACKING_URI=sqlite:///mlruns.db" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 55, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", @@ -64,6 +73,7 @@ "import dotenv\n", "import mlflow\n", "import numpy as np\n", + "import pandas as pd\n", "import sklearn.metrics\n", "import sklearn.model_selection\n", "from sklearn.linear_model import LogisticRegression\n", @@ -81,6 +91,7 @@ "metadata": {}, "outputs": [], "source": [ + "from research.document_types import document_title_rule_model\n", "from research.lib import data_access, embeddings, plotting" ] }, @@ -113,7 +124,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Starting run: welcoming-sheep-370\n" + "Starting run: delicate-hog-125\n" ] }, { @@ -155,7 +166,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025/01/08 15:06:49 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" + "2025/01/13 09:21:53 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" ] } ], @@ -864,8 +875,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 11205/11205 [00:40<00:00, 279.34it/s]\n", - "100%|██████████| 1246/1246 [00:04<00:00, 287.83it/s]\n" + "100%|██████████| 11205/11205 [00:35<00:00, 311.94it/s]\n", + "100%|██████████| 1246/1246 [00:03<00:00, 322.84it/s]\n" ] } ], @@ -893,7 +904,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=11204, new=0): 100%|██████████| 11205/11205 [00:09<00:00, 1233.54it/s]\n" + "Embedding (cached=11204, new=0): 100%|██████████| 11205/11205 [00:07<00:00, 1546.19it/s]\n" ] }, { @@ -907,7 +918,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=1245, new=0): 100%|██████████| 1246/1246 [00:01<00:00, 1211.96it/s]\n" + "Embedding (cached=1245, new=0): 100%|██████████| 1246/1246 [00:00<00:00, 1580.31it/s]\n" ] }, { @@ -1439,8 +1450,8 @@ { "data": { "text/plain": [ - "{'fit_time': array([1.35345197, 0.99302292, 0.93358898, 1.139956 , 0.91577888]),\n", - " 'score_time': array([0.04863 , 0.02204704, 0.02182412, 0.02105498, 0.02156615]),\n", + "{'fit_time': array([1.40215492, 0.89028192, 0.95010495, 0.95532393, 0.82745504]),\n", + " 'score_time': array([0.03410888, 0.02052212, 0.02562094, 0.02006793, 0.02037692]),\n", " 'test_precision': array([0.94604148, 0.95137891, 0.94749069, 0.95067906, 0.94861341]),\n", " 'test_recall': array([0.94957608, 0.95403838, 0.95046854, 0.95314592, 0.95046854]),\n", " 'test_f1': array([0.94739411, 0.95250867, 0.94856175, 0.95127688, 0.94939214]),\n", @@ -1548,8 +1559,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025/01/08 15:08:57 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", - "2025/01/08 15:09:01 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + "2025/01/13 09:23:55 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/13 09:23:59 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" ] } ], @@ -1636,41 +1647,7 @@ "cell_type": "code", "execution_count": 27, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025/01/08 15:09:02 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", - "2025/01/08 15:09:05 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "docs: ground truth (1246,)\n", - "docs: predictions (1246,)\n", - " precision recall f1-score support\n", - "\n", - " DRAFT 0.94 0.96 0.95 288\n", - " FINAL_REPORT 0.98 1.00 0.99 174\n", - " LETTER 1.00 1.00 1.00 245\n", - " OPINION 1.00 0.95 0.97 97\n", - "RECIPIENT_LIST 0.99 1.00 1.00 176\n", - " REPORT 0.96 0.97 0.97 214\n", - " RESPONSE_FORM 1.00 1.00 1.00 1\n", - " SURVEY 1.00 1.00 1.00 1\n", - "SYNOPTIC_TABLE 0.40 0.25 0.31 8\n", - " VARIOUS_TEXT 0.65 0.57 0.61 42\n", - "\n", - " accuracy 0.96 1246\n", - " macro avg 0.89 0.87 0.88 1246\n", - " weighted avg 0.96 0.96 0.96 1246\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "if USE_TEST_SET:\n", " classifier.fit(X_train, y_train)\n", @@ -1694,25 +1671,974 @@ "cell_type": "code", "execution_count": 28, "metadata": {}, + "outputs": [], + "source": [ + "if USE_TEST_SET:\n", + " display(\n", + " plotting.plot_confusion_matrix_heatmap(\n", + " test_ground_truth_docs, test_predictions_docs, target_names=y_encoder.categories_[0]\n", + " )\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "***\n", + "\n", + "# Comparison to the rule-based model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load (unlabelled) OpenParlData" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/data/dataset_source_registry.py:149: UserWarning: Failed to determine whether UCVolumeDatasetSource can resolve source information for '/Users/vita/Code/demokratis/demokratis-ml/data/dataframes/consultation-documents-preprocessed-2025-01-06.parquet'. Exception: \n", + " return _dataset_source_registry.resolve(\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/data/dataset_source_registry.py:149: UserWarning: The specified dataset source can be interpreted in multiple ways: LocalArtifactDatasetSource, LocalArtifactDatasetSource. MLflow will assume that this is a LocalArtifactDatasetSource source.\n", + " return _dataset_source_registry.resolve(\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/types/utils.py:407: UserWarning: Hint: Inferred schema contains integer column(s). Integer columns in Python cannot represent missing values. If your input data contains missing values at inference time, it will be encoded as floats and will cause a schema enforcement error. The best way to avoid this problem is to infer the model schema based on a realistic data sample (training dataset) that includes missing values. Alternatively, you can declare integer columns as doubles (float64) whenever these columns may have missing values. See `Handling Integers With Missing Values `_ for more details.\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
document_idconsultation_idconsultation_start_dateconsultation_end_dateconsultation_titleconsultation_descriptiondocument_source_urlconsultation_urlconsultation_topicsdocument_typedocument_languagedocument_titleorganisation_idorganisation_namepolitical_bodyconsultation_reviewed_atdocument_sourceconsultation_topics_label_sourcedocument_content_plain
383243832522832019-05-092019-08-12Auflösung NOK-Gründungsvertrag; Energiegesetz ...https://www.ag.ch/media/kanton-aargau/portal/a...https://www.demokratis.ch/vernehmlassung/5cckh63y[economics, energy]NaNdeBeilage 1 zum Anhörungsbericht (Statuten) (PDF...141Regierungsrat des Kantons AargauagNaTopenparldataopenparldataBeilage 1 \\nVerabschiedet durch Politisches Gr...
383253832622832019-05-092019-08-12Auflösung NOK-Gründungsvertrag; Energiegesetz ...https://www.ag.ch/media/kanton-aargau/portal/a...https://www.demokratis.ch/vernehmlassung/5cckh63y[economics, energy]NaNdeBeilage 2 zum Anhörungsbericht (Aktionärbindun...141Regierungsrat des Kantons AargauagNaTopenparldataopenparldataStand: 20. November 2018, mit formalen Ergänzu...
383263832722832019-05-092019-08-12Auflösung NOK-Gründungsvertrag; Energiegesetz ...https://www.ag.ch/media/kanton-aargau/portal/a...https://www.demokratis.ch/vernehmlassung/5cckh63y[economics, energy]NaNdeBeilage 3 zum Anhörungsbericht (Eignerstrategi...141Regierungsrat des Kantons AargauagNaTopenparldataopenparldataSeite 1 von 2 Stand: 20. November 2018 \\n\\nEig...
383273832822832019-05-092019-08-12Auflösung NOK-Gründungsvertrag; Energiegesetz ...https://www.ag.ch/media/kanton-aargau/portal/a...https://www.demokratis.ch/vernehmlassung/5cckh63y[economics, energy]NaNdeBeilage 4 zum Anhörungsbericht (NOK-Gründungsv...141Regierungsrat des Kantons AargauagNaTopenparldataopenparldata731.120\\n\\nSchaffhauser Rechtsbuch 1997 1\\n\\nV...
383283832922832019-05-092019-08-12Auflösung NOK-Gründungsvertrag; Energiegesetz ...https://www.ag.ch/media/kanton-aargau/portal/a...https://www.demokratis.ch/vernehmlassung/5cckh63y[economics, energy]NaNdeAnhörungsbericht (PDF, 10 Seiten, 184 KB)141Regierungsrat des Kantons AargauagNaTopenparldataopenparldataJ:\\03_Geschäfte\\1_Vorträge\\05_AE\\Auflösung NOK...
............................................................
520075361649912024-12-182025-02-20Bericht «Sonderpädagogik der St.Galler Volkssc...Die Regierung des Kantons St.Gallen hat an ihr...https://www.sg.ch/news/sgch_allgemein/2024/12/...https://www.demokratis.ch/vernehmlassung/4tpw3ygc[education]VARIOUS_TEXTdeBericht Sonderpädagogik der St.Galler Volksschule156Regierung des Kantons St. GallensgNaTopenparldataopenparldataKanton St.Gallen \\nBildungsdepartement \\n \\nAm...
520085361749912024-12-182025-02-20Bericht «Sonderpädagogik der St.Galler Volkssc...Die Regierung des Kantons St.Gallen hat an ihr...https://www.sg.ch/news/sgch_allgemein/2024/12/...https://www.demokratis.ch/vernehmlassung/4tpw3ygc[education]VARIOUS_TEXTdeAnhang 1: Bericht der Paedagogischen Hochschul...156Regierung des Kantons St. GallensgNaTopenparldataopenparldata\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n ...
520395364849942024-12-192025-03-19Vernehmlassung zum Erlass eines Gesetzes über ...Die Bündner Regierung hat im Rahmen der Teilre...https://www.gr.ch/DE/publikationen/vernehmlass...https://www.demokratis.ch/vernehmlassung/v3tefzb7[education]VARIOUS_TEXTdeEinladungsschreiben150Regierung des Kantons GraubündengrNaTopenparldataopenparldatainfo@ekud.gr.ch \\nwww.ekud.gr.ch\\nErziehungs-,...
520405364949942024-12-192025-03-19Vernehmlassung zum Erlass eines Gesetzes über ...Die Bündner Regierung hat im Rahmen der Teilre...https://www.gr.ch/DE/publikationen/vernehmlass...https://www.demokratis.ch/vernehmlassung/v3tefzb7[education]VARIOUS_TEXTdeErlass150Regierung des Kantons GraubündengrNaTopenparldataopenparldataAGS [Fundst. od. Gesch.-Nr.] \\nGesetz über di...
520465365949972024-12-202025-03-19Le Conseil d’Etat veut augmenter le nombre de ...https://www.fr.ch/document/544311https://www.demokratis.ch/vernehmlassung/44787qfu[education, health]VARIOUS_TEXTdeConsultation avant-projet LPFS: liste des dest...147Conseil d'État du canton de FribourgfrNaTopenparldataopenparldataChancellerie d’Etat CHA \\nStaatskanzlei SK \\n...
\n", + "

9851 rows × 19 columns

\n", + "
" + ], + "text/plain": [ + " document_id consultation_id consultation_start_date \\\n", + "38324 38325 2283 2019-05-09 \n", + "38325 38326 2283 2019-05-09 \n", + "38326 38327 2283 2019-05-09 \n", + "38327 38328 2283 2019-05-09 \n", + "38328 38329 2283 2019-05-09 \n", + "... ... ... ... \n", + "52007 53616 4991 2024-12-18 \n", + "52008 53617 4991 2024-12-18 \n", + "52039 53648 4994 2024-12-19 \n", + "52040 53649 4994 2024-12-19 \n", + "52046 53659 4997 2024-12-20 \n", + "\n", + " consultation_end_date \\\n", + "38324 2019-08-12 \n", + "38325 2019-08-12 \n", + "38326 2019-08-12 \n", + "38327 2019-08-12 \n", + "38328 2019-08-12 \n", + "... ... \n", + "52007 2025-02-20 \n", + "52008 2025-02-20 \n", + "52039 2025-03-19 \n", + "52040 2025-03-19 \n", + "52046 2025-03-19 \n", + "\n", + " consultation_title \\\n", + "38324 Auflösung NOK-Gründungsvertrag; Energiegesetz ... \n", + "38325 Auflösung NOK-Gründungsvertrag; Energiegesetz ... \n", + "38326 Auflösung NOK-Gründungsvertrag; Energiegesetz ... \n", + "38327 Auflösung NOK-Gründungsvertrag; Energiegesetz ... \n", + "38328 Auflösung NOK-Gründungsvertrag; Energiegesetz ... \n", + "... ... \n", + "52007 Bericht «Sonderpädagogik der St.Galler Volkssc... \n", + "52008 Bericht «Sonderpädagogik der St.Galler Volkssc... \n", + "52039 Vernehmlassung zum Erlass eines Gesetzes über ... \n", + "52040 Vernehmlassung zum Erlass eines Gesetzes über ... \n", + "52046 Le Conseil d’Etat veut augmenter le nombre de ... \n", + "\n", + " consultation_description \\\n", + "38324 \n", + "38325 \n", + "38326 \n", + "38327 \n", + "38328 \n", + "... ... \n", + "52007 Die Regierung des Kantons St.Gallen hat an ihr... \n", + "52008 Die Regierung des Kantons St.Gallen hat an ihr... \n", + "52039 Die Bündner Regierung hat im Rahmen der Teilre... \n", + "52040 Die Bündner Regierung hat im Rahmen der Teilre... \n", + "52046 \n", + "\n", + " document_source_url \\\n", + "38324 https://www.ag.ch/media/kanton-aargau/portal/a... \n", + "38325 https://www.ag.ch/media/kanton-aargau/portal/a... \n", + "38326 https://www.ag.ch/media/kanton-aargau/portal/a... \n", + "38327 https://www.ag.ch/media/kanton-aargau/portal/a... \n", + "38328 https://www.ag.ch/media/kanton-aargau/portal/a... \n", + "... ... \n", + "52007 https://www.sg.ch/news/sgch_allgemein/2024/12/... \n", + "52008 https://www.sg.ch/news/sgch_allgemein/2024/12/... \n", + "52039 https://www.gr.ch/DE/publikationen/vernehmlass... \n", + "52040 https://www.gr.ch/DE/publikationen/vernehmlass... \n", + "52046 https://www.fr.ch/document/544311 \n", + "\n", + " consultation_url consultation_topics \\\n", + "38324 https://www.demokratis.ch/vernehmlassung/5cckh63y [economics, energy] \n", + "38325 https://www.demokratis.ch/vernehmlassung/5cckh63y [economics, energy] \n", + "38326 https://www.demokratis.ch/vernehmlassung/5cckh63y [economics, energy] \n", + "38327 https://www.demokratis.ch/vernehmlassung/5cckh63y [economics, energy] \n", + "38328 https://www.demokratis.ch/vernehmlassung/5cckh63y [economics, energy] \n", + "... ... ... \n", + "52007 https://www.demokratis.ch/vernehmlassung/4tpw3ygc [education] \n", + "52008 https://www.demokratis.ch/vernehmlassung/4tpw3ygc [education] \n", + "52039 https://www.demokratis.ch/vernehmlassung/v3tefzb7 [education] \n", + "52040 https://www.demokratis.ch/vernehmlassung/v3tefzb7 [education] \n", + "52046 https://www.demokratis.ch/vernehmlassung/44787qfu [education, health] \n", + "\n", + " document_type document_language \\\n", + "38324 NaN de \n", + "38325 NaN de \n", + "38326 NaN de \n", + "38327 NaN de \n", + "38328 NaN de \n", + "... ... ... \n", + "52007 VARIOUS_TEXT de \n", + "52008 VARIOUS_TEXT de \n", + "52039 VARIOUS_TEXT de \n", + "52040 VARIOUS_TEXT de \n", + "52046 VARIOUS_TEXT de \n", + "\n", + " document_title organisation_id \\\n", + "38324 Beilage 1 zum Anhörungsbericht (Statuten) (PDF... 141 \n", + "38325 Beilage 2 zum Anhörungsbericht (Aktionärbindun... 141 \n", + "38326 Beilage 3 zum Anhörungsbericht (Eignerstrategi... 141 \n", + "38327 Beilage 4 zum Anhörungsbericht (NOK-Gründungsv... 141 \n", + "38328 Anhörungsbericht (PDF, 10 Seiten, 184 KB) 141 \n", + "... ... ... \n", + "52007 Bericht Sonderpädagogik der St.Galler Volksschule 156 \n", + "52008 Anhang 1: Bericht der Paedagogischen Hochschul... 156 \n", + "52039 Einladungsschreiben 150 \n", + "52040 Erlass 150 \n", + "52046 Consultation avant-projet LPFS: liste des dest... 147 \n", + "\n", + " organisation_name political_body \\\n", + "38324 Regierungsrat des Kantons Aargau ag \n", + "38325 Regierungsrat des Kantons Aargau ag \n", + "38326 Regierungsrat des Kantons Aargau ag \n", + "38327 Regierungsrat des Kantons Aargau ag \n", + "38328 Regierungsrat des Kantons Aargau ag \n", + "... ... ... \n", + "52007 Regierung des Kantons St. Gallen sg \n", + "52008 Regierung des Kantons St. Gallen sg \n", + "52039 Regierung des Kantons Graubünden gr \n", + "52040 Regierung des Kantons Graubünden gr \n", + "52046 Conseil d'État du canton de Fribourg fr \n", + "\n", + " consultation_reviewed_at document_source \\\n", + "38324 NaT openparldata \n", + "38325 NaT openparldata \n", + "38326 NaT openparldata \n", + "38327 NaT openparldata \n", + "38328 NaT openparldata \n", + "... ... ... \n", + "52007 NaT openparldata \n", + "52008 NaT openparldata \n", + "52039 NaT openparldata \n", + "52040 NaT openparldata \n", + "52046 NaT openparldata \n", + "\n", + " consultation_topics_label_source \\\n", + "38324 openparldata \n", + "38325 openparldata \n", + "38326 openparldata \n", + "38327 openparldata \n", + "38328 openparldata \n", + "... ... \n", + "52007 openparldata \n", + "52008 openparldata \n", + "52039 openparldata \n", + "52040 openparldata \n", + "52046 openparldata \n", + "\n", + " document_content_plain \n", + "38324 Beilage 1 \\nVerabschiedet durch Politisches Gr... \n", + "38325 Stand: 20. November 2018, mit formalen Ergänzu... \n", + "38326 Seite 1 von 2 Stand: 20. November 2018 \\n\\nEig... \n", + "38327 731.120\\n\\nSchaffhauser Rechtsbuch 1997 1\\n\\nV... \n", + "38328 J:\\03_Geschäfte\\1_Vorträge\\05_AE\\Auflösung NOK... \n", + "... ... \n", + "52007 Kanton St.Gallen \\nBildungsdepartement \\n \\nAm... \n", + "52008 \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n ... \n", + "52039 info@ekud.gr.ch \\nwww.ekud.gr.ch\\nErziehungs-,... \n", + "52040 AGS [Fundst. od. Gesch.-Nr.] \\nGesetz über di... \n", + "52046 Chancellerie d’Etat CHA \\nStaatskanzlei SK \\n... \n", + "\n", + "[9851 rows x 19 columns]" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_opd = data_access.load_consultation_documents(\n", + " PREPROCESSED_DATA_FILE,\n", + " only_document_sources={\"openparldata\"},\n", + " only_languages=LANGUAGES,\n", + " starting_year=FROM_YEAR,\n", + " mlflow=mlflow,\n", + ")\n", + "df_opd" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, "outputs": [ { "data": { - "image/png": "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", "text/plain": [ - "
" + "document_type\n", + "NaN 0.991777\n", + "VARIOUS_TEXT 0.002639\n", + "LETTER 0.001320\n", + "REPORT 0.001117\n", + "DRAFT 0.001015\n", + "SYNOPTIC_TABLE 0.000914\n", + "RECIPIENT_LIST 0.000812\n", + "SURVEY 0.000406\n", + "DECISION 0.000000\n", + "FINAL_REPORT 0.000000\n", + "LINK 0.000000\n", + "OPINION 0.000000\n", + "RESPONSE_FORM 0.000000\n", + "Name: proportion, dtype: float64" ] }, + "execution_count": 31, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "if USE_TEST_SET:\n", - " display(\n", - " plotting.plot_confusion_matrix_heatmap(\n", - " test_ground_truth_docs, test_predictions_docs, target_names=y_encoder.categories_[0]\n", - " )\n", - " )" + "df_opd[\"document_type\"].value_counts(dropna=False, normalize=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "df_opd = df_opd.loc[df_opd[\"document_type\"].isna()]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Embed the OPD documents" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 9770/9770 [00:22<00:00, 434.32it/s]\n", + "Embedding (cached=9766, new=3): 100%|█████████▉| 9767/9770 [00:06<00:00, 1523.87it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(9770, 3072)\n" + ] + } + ], + "source": [ + "tokens_opd = df_opd[\"document_content_plain\"].progress_map(embedding_model.tokenize)\n", + "\n", + "with embeddings.use_cache(\n", + " embedding_model,\n", + " tqdm=tqdm,\n", + " cache_directory=REPOSITORY_ROOT / \"data\" / \"embeddings-cache\",\n", + ") as get_embeddings:\n", + " embeddings_opd = get_embeddings(tokens_opd.tolist())\n", + " print(embeddings_opd.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "df_opd[\"embedding\"] = embeddings_opd.tolist()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Draw random OPD documents and classify them with both the rule-based model and the sklearn model" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "sample_batch = df_opd.sample(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025/01/13 11:01:37 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" + ] + } + ], + "source": [ + "sample_batch[\"prediction_rule\"] = document_title_rule_model.predict(sample_batch).tolist()\n", + "\n", + "sample_predictions = classifier.predict(sample_batch[\"embedding\"].tolist())\n", + "sample_batch[\"prediction_ml\"] = y_encoder.inverse_transform(sample_predictions.reshape(-1, 1)).reshape(1, -1)[0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Copy the sample to the clipboard..." + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "sample_batch[[\"document_id\", \"document_source_url\", \"document_title\"]].to_clipboard(index=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "...after you have added the true labels, run this to load them back in here:" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "ground_truth = pd.read_excel(REPOSITORY_ROOT / \"research\" / \"document_types\" / \"ground_truth.xlsx\")[\n", + " [\"document_id\", \"ground_truth\"]\n", + "].set_index(\"document_id\")\n", + "sample_batch = sample_batch.join(ground_truth, on=\"document_id\")" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 document_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_ml
4259543237luvnldocVerordnungsentwurfnanDRAFTDRAFT
4731748204zhvnldocBegleitschreiben Vernehmlassung AufnahmeverordnungnanLETTERLETTER
4793348844nwvnldoc01_RRB 691_Teilrevision Pensionskassengesetz PKG_Antrag an LRnanVARIOUS_TEXTREPORT
4875249695tgvnldocMitwirkungsbericht_BevölkerungsschutzgesetznanNoneOPINION
4299743640nwvnldoc02_Bericht RR an LR_kKGSGnanREPORTREPORT
4980150806urvnldocAuswertungsbericht VernehmlassungnanFINAL_REPORTOPINION
4432544975szvnldocFragebogen  nanSURVEYVARIOUS_TEXT
4669747584zhvnldocVernehmlassungsentwurfnanDRAFTVARIOUS_TEXT
4099641134blvnldocBegleitschreibennanLETTERLETTER
4935450359nwvnldoc01_RRB 603_Antrag an LRnanVARIOUS_TEXTREPORT
\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample_batch[\n", + " [\n", + " \"document_id\",\n", + " \"political_body\",\n", + " \"consultation_url\",\n", + " \"document_source_url\",\n", + " \"document_title\",\n", + " \"ground_truth\",\n", + " \"prediction_rule\",\n", + " \"prediction_ml\",\n", + " ]\n", + "].style.format(\n", + " {\n", + " \"consultation_url\": lambda x: f'vnl',\n", + " \"document_source_url\": lambda x: f'doc',\n", + " }\n", + ").set_table_styles([{\"selector\": \"th,td\", \"props\": [(\"text-align\", \"left\")]}])" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
document_idconsultation_idconsultation_start_dateconsultation_end_dateconsultation_titleconsultation_descriptiondocument_source_urlconsultation_urlconsultation_topicsdocument_type...organisation_namepolitical_bodyconsultation_reviewed_atdocument_sourceconsultation_topics_label_sourcedocument_content_plainembeddingprediction_ruleprediction_mlground_truth
429434358632992018-11-142019-02-08Vernehmlassung zur Totalrevision des Gesetzes ...https://www.nw.ch/_doc/187636https://www.demokratis.ch/vernehmlassung/z76mgsec[health]NaN...Regierungsrat des Kantons NidwaldennwNaTopenparldataopenparldataAntrag an den Landrat 714.1 \\n 1 \\nGesetz \\nü...[0.006048629991710186, -0.012576724402606487, ...NoneDRAFTNaN
\n", + "

1 rows × 23 columns

\n", + "
" + ], + "text/plain": [ + " document_id consultation_id consultation_start_date \\\n", + "42943 43586 3299 2018-11-14 \n", + "\n", + " consultation_end_date \\\n", + "42943 2019-02-08 \n", + "\n", + " consultation_title \\\n", + "42943 Vernehmlassung zur Totalrevision des Gesetzes ... \n", + "\n", + " consultation_description document_source_url \\\n", + "42943 https://www.nw.ch/_doc/187636 \n", + "\n", + " consultation_url consultation_topics \\\n", + "42943 https://www.demokratis.ch/vernehmlassung/z76mgsec [health] \n", + "\n", + " document_type ... organisation_name political_body \\\n", + "42943 NaN ... Regierungsrat des Kantons Nidwalden nw \n", + "\n", + " consultation_reviewed_at document_source \\\n", + "42943 NaT openparldata \n", + "\n", + " consultation_topics_label_source \\\n", + "42943 openparldata \n", + "\n", + " document_content_plain \\\n", + "42943 Antrag an den Landrat 714.1 \\n 1 \\nGesetz \\nü... \n", + "\n", + " embedding prediction_rule \\\n", + "42943 [0.006048629991710186, -0.012576724402606487, ... None \n", + "\n", + " prediction_ml ground_truth \n", + "42943 DRAFT NaN \n", + "\n", + "[1 rows x 23 columns]" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample_batch.loc[sample_batch[\"document_id\"] == 43586] # noqa: PLR2004" ] }, { diff --git a/research/document_types/document_title_rule_model.py b/research/document_types/document_title_rule_model.py new file mode 100644 index 0000000..47f9450 --- /dev/null +++ b/research/document_types/document_title_rule_model.py @@ -0,0 +1,219 @@ +import logging +import re + +import pandas as pd +import pandera as pa +import pandera.typing + +from demokratis_ml.data import schemata + + +@pa.check_types +def predict(documents: pandera.typing.DataFrame[schemata.FullConsultationDocumentSchemaV1]) -> pd.Series: + assert documents["document_type"].isna().all() + df = documents[["political_body", "document_title", "document_content_plain"]].copy() + df["document_title_clean"] = df["document_title"].map(_clean_document_title) + df["document_type"] = None + + for canton_code, rules in _DOCUMENT_TITLE_STARTS_WITH_RULES.items(): + for document_type, keywords in rules.items(): + for keyword in keywords: + keyword = keyword.lower() # noqa: PLW2901 + index = df["document_title_clean"].str.startswith(keyword) + if canton_code != "": + index &= df["political_body"] == canton_code + df.loc[index, "document_type"] = document_type + # TODO: logging + percentage_labelled = len(df[index]) * 100 / len(df) + logging.info( + "Labelled %.2f%% by rule: canton=%s, title^=%s => type=%s", + percentage_labelled, + canton_code, + keyword, + document_type, + ) + + # Special ad-hoc rule: + df.loc[ + (df["document_type"].isna()) + & df["document_title_clean"].str.match(r"beilage (\d+ )?zum anhörungsbericht") + & (df["document_content_plain"].str.slice(0, 200).str.contains("Synopse +Beilage")), + "document_type", + ] = "SYNOPTIC_TABLE" + + logging.info("Labelled %.2f%% of documents", len(df[~df["document_type"].isna()]) * 100 / len(df)) + # (df["document_type"].value_counts(dropna=False) * 100 / len(df)).plot.barh(title="Document types [%]") + return df["document_type"] + + +def _clean_document_title(title: str) -> str: + title = title.strip().lower() + title = re.sub(r"^\d+\) ", "", title) # leading "N) " + title = re.sub(r"^\d+_", "", title) # leading "N_" + title = re.sub(r"^\d+-\d+ ", "", title) # leading "N-N " + title = re.sub(r"(\.pdf)+$", "", title) + title = re.sub(r" (\[|\()pdf, (\d+ seiten?, )?\d+ kb(\]|\))", "", title) + title = re.sub(r"_", " ", title) + return title + + +_DOCUMENT_TITLE_STARTS_WITH_RULES = { + "": { + "RECIPIENT_LIST": [ + # de + "adressliste", + "adressatenliste", + "adressatenverzeichnis", + "vernehmlassungsadressaten", + "vernehmlassungsadressen", + "verzeichnis der anhörungsadressaten", + "liste der konsultationsadressatinnen und konsultationsadressaten", + "liste vernehmlassungsadressaten", + "verzeichnis der adressatinnen und adressaten", + "liste der vernehmlassungsadressaten", + "liste der vernehmlassungsadressatinnen und -adressaten", + "liste der vernehmlassungsadressatinnen und -?adressaten", + "adressaten vernehmlassung", + "verzeichnis der vernehmlassungsadressaten", + "verzeichnis der vernehmlassungsadressatinnen und -adressaten", + "liste der adressaten", + "beilage zum anhörungsbericht (adressatenverzeichnis)", + "beilage 3: liste der vernehmlassungsadressaten", + "liste der vernehmlassungsadressen", + "vernehmlassungsliste", + # fr + "liste des destinataires", + ], + "SURVEY": [ # Or RESPONSE_FORM? + # de + "fragebogen", + "beilage 2 zum anhörungsbericht (fragebogen)", + "online-fragebogen", + "elektronischer fragebogen", + ], + "LETTER": [ + # de + "brief", + "schreiben", + "begleitschreiben", + "begleitbrief", + "einladungsschreiben", + "vernehmlassungsbrief", + "einladung zur vernehmlassung", + "einladung zur externen vernehmlassung", + "einladung zur stellungnahme", + "einladungsbrief", + "vernehmlassungsschreiben", + "einladung vernehmlassung", + "einladung", + # fr + "lettre de consultation", + "courrier d'accompagnement", + "lettre", + "courrier", + ], + "REPORT": [ + # de + "anhörungsbericht", + "vernehmlassungsbericht", + "erläuternder bericht", + "bericht und antrag des regierungsrates", + "bericht und antrag des regierungsrats", + "bericht zur vernehmlassung", # report in NW + "erläuterungen", + "vernehmlassungsbotschaft", + "bericht", + "vortrag", + "ratschlagsentwurf", + "regulierungsfolgenabschätzung", + "erläuterungen zum vernehmlassungsentwurf", + "erläuterungsbericht", + "planungsbericht", + "erläuternder bericht", + "erlauternder bericht", + "richtplananpassung", + # fr + "rapport explicatif", + # it + "rapporto esplicativo", + ], + "FINAL_REPORT": [ + # de + "auswertungsbericht", + # Dankesbrief is a special letter that is sent with the final report in UR and highlights some key findings. + # Could also be classified as VARIOUS_TEXT. + "dankesbrief", + "ergebnis der vernehmlassung", + "auswertung externe vernehmlassung", + "antworten der vernehmlassung", + ], + "SYNOPTIC_TABLE": [ + # de + "synopse", + "synoptische darstellung", + "beilage zum anhörungsbericht (synopse)", + "beilage 1 zum anhörungsbericht (synopse)", + ], + "RESPONSE_FORM": [ + # de + "antwortformular", + "beilage zum anhörungsbericht (fragebogen)", + "mitwirkungsformular", + "fragen zur vernehmlassung", + ], + "DRAFT": [ + # de + "vorentwurf", + "vernehmlassungsvorlage", + "vernehmlassungsentwurf", + "entwurf gesetzestext", + "verordnungsentwurf", + "landratsvorlage (entwurf)", + "gesetzestext", + "gesetzesentwurf", + "gesetz (entwurf)", + "verordnung (entwurf)", + "bildungsgesetz (entwurf)", + "erlassentwurf", + "erlass", + "entwurf", + "änderungserlass", + "sbe", + "antrag landrat", + "dekret (entwurf)", + "änderungsentwurf", + # fr + "avant-projet de loi", + "projet de loi", + "avant-projet", + ], + "VARIOUS_TEXT": [ + # de + "medienmitteilung", + "medieninformation", + "information", + "rrb", + "zeitplan", + "einladung informationsveranstaltung", + "vortrag: vortrag-18.08.2021", + "präsentation", + "grundlagenplan", + "einladung zur informationsveranstaltung", + "motion", + "publikationstext", + "anhang", + ], + }, + "bs": { + "VARIOUS_TEXT": [ + # de + "fragenkatalog", + ], + }, + "gl": { + "RESPONSE_FORM": [ + # de + "fragenkatalog", + ], + }, +} diff --git a/research/document_types/ground_truth.xlsx b/research/document_types/ground_truth.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..9a824dad7febb79d55e024a67de94abba111562c GIT binary patch literal 11674 zcmeHtg;yQP_Vq=ByE`Nh7VY=L^820IV&(m7Cl)`hs-N&ZE6F;dYhDyKKp~))pQ9t z8GAqnlx?{9F%DXq#~E0JLd^JjdXc6nfW(h=UCL}?Yr@jS1m@T{0)885^B{HfmEH!V zLalsm@IuF`y!tXaSAW3-+Qt~>q@@Lor|$U%y%h9k3eQCx7u_61^7kqnMnqn=xnr+3p~Y{Wv98c}8_(NC(E8fR-*|@}u7Y=YJr72= zv;&V$<9B^oo?roh=VvH@;$L7{qsH|5;w9E(Ur>km0!uvy6Kh9ChTqQrgX4cO2LJTw z#W8XUT}((J$C3}B;OnWSXfzQSS7FH}a#bHcsYTS9$m}pORm^nltIQ&WeTD@|b%Z4|l5K|&5hb1B9b(|S{-$qh=XX0~r zkp;uJWe>)au)&UoW^<)pU~BTrTLLu|b8d@r!*mB83U@tY>-KZ8ls3#qFM9b@urdW3 z#tqBJI}l~YrLR^s+vz}>dp9S1R}uK6FW@t2{_+b${T(EpAlCgbC;(vhh00K0ddAI~ z(bdku%Fxcv>NnmhR@1S|=ECyUvv`JDPn)L_f}%FFua69zHe9D$4YyhE_q&-^Ze+pBIfTdsvNuq>ons}h#3yZ~NaUHT zj7qZs+4SC<`83=-)}2R2@4q9Th6S+cn8!=kK#1t*RwlccWtku!6bBU-1Qd9Q=+NQQ zH^wllX@GlYMcKC^8${tYY48kd*12WGmS>8Uc+vW33;ldF&T0wA_8ze6llz@lv>NiY z{oFROH5j4tEhgRVZztiTNa^f7Wj+|ut(~qaFtJ^^VOSFrtDS!cmoJ{g7s@8yef_eXi*CpJ88Q7Lj8 zz90pR9_$?V3WmZrM|V(95>g`L=}~D!7i-@k6+rn%Kr=eqQlZK*K%JfN)bOu-G+YTc zo%qBqLp+i!%u@_)l-i?<(Nz0LocdKa8gahJp$q|;I2lE9)qFqM7DOBnn2u}5rVHVG zquKaafPdX;6?*yT3YyFHoQO&%SnyoNGGukTVEK|qa#M%Tapa!aKboq)z+L>ZR#o0z>xyVVuJRKvWgijby@YyG+uf$zR`!~Wgc|Bp9->>~ ztHz3OB>xUte}UM9^Ork~FU&>&fP;7e?Z3$F z&(Qr3(Lub-J71vx-+dG-%gJ;zp|v1Bg)+IOxL~8tIWbZksO_V|^;Od>P?59xT&xh% zHtM{emSKdl3voXl0=ZnXqpU+=UUtyshhso{U|JvZ!q^R+4?)2h9+r>IkQ+gjuQ93B>I8sO~1P!m4lLi z>bg3zWE#`0=LXS*E71H2jYUO35{~j{wE{tLU zFaW@J8~_0C<%xgic}H^-6DLQ;-!II+CH&NHno%iCSiviFmxAwoURAvnCeH?nr_~ki zR~gBc8yZ>irW8J1>w;Nc=U8Tc1rT=K4)fozc=OPHx>|gnxd0jJeiB6lZV23-E+1rSA?u11NKJ3>>nL#NAJMbvkAH6eM^}*ram+LiiLZ|i_}+yDyWih zSKwJRk%>IySiH@jF@MK~GI%!u` z-VW+hoNRHPq`WOdHqD3LDho>e(0f(zNn`stlU@%wRn_jO&ZuXbDRwlkp9G|+}-uN{55ZO%x zw)K)K91A`X4{z)~z>g#|x>T*CIfU9Z^r*s&ymRwd;cPneZd*u?4{t4IYBr>%1D0{| z71&$#;kZ=U_MOqUT%@~xTxpuD?Nmb5nSNXqnfUUm@OGOjwKFJ1_NLbnpn!*q)$MH8lize1R04RT=94=1@FV39Pi(MpX%y@@yMWqglgUzw- zpeontHO!HLI3L|%YDhUJW$=24!#d2ta1_P{Y|g4=ni5`Pog!g?5zhL_YdeN3O5j>J zg=IyyCeDx0|8|CtvntN~8(;aNS&boL7;6oHONGvnoxn}>)XB7uN_L;9eDPIe|Cj@| z*+8qkM4&x&da>Ka8v#esYUPNiLiuJc)Q74X)(QP(V5&myDxc(LoCZ=tLA{iZDM5M) z%ueg47*sNJx)_xYC4T+p87MvOUYVz@^-YRgynThu2)dY-P~+tbz!MZHhUq{t96FJq zNv(YL2M)w`Z;fcoH-}q|V&Wg?PY)R0f)HCW|!I#`n)XJ80Pg_bN_pmyzj#HOf zHH;*~>Mar^(S|wee=liKE)LmHvX+P@jmz zuF|)28>}a4*%Up0vo4N^Q9|NoasiOc%hyyeN^=& zBd%i0lCoA_RGT{8&QA%pYQ%dqJc3>W<}<2nO-zsWL+G&YAAqT(k(5=qlmkkS4AQBC zrR3-;)L2GYHI%9QWk>ufWX=%VvvQ>oq;4rGZyT6&B`gi4Ez!fwiho4Mf7gTD*jbp{ zN!Z3U!8QAl8$bISNB=!P!#rcp7kz=5byfd920hY)VSShUgC43n@3zVL>2lPs;d1T8zo~FMCjj!%W$J4&!r>NL~vMZ+Q}mF?3~Qojm4$`q=^kaYi{_e=ADNM5K7LB{hS1bVEYX z7cpW{dElWywIRJAs=Q|W1z$mOMjLb2+u?X4>S!Gb`)eXuw8AFDk;hl%UEvy9Gp2|w z;`A73A8mVdBbYiv%``+Wcn>3WWbZc3NM<>{*j2nq0WIK8M8+re-K7O;Qs#QO*hwf> zs^Mx&Ln*w22fk6bhIlBdQ5aJl)SpS`1Mm&XB!=&4Z!-69e~uI_H);30YCu!*G?sBN zI!_qbf;>MT9i)k$IQ;QMZ9NlM;sd2`iOXrZ|6C#f)n0|qXVIHe%xcc|=#pq8lW{Pf z*))M*$FMr>^$TydL02cCVu;zaijqLyGF7q3$%?@;av!Os&&n6dIm2L7Iax0ZUvJvaEcMgViN zu5c>J5|zq!*06Qm!g?`LT9uF)66ueflt}jmXhJ(vkM{R=z%Qt93{qCQ?P5nr76OvP z&~j=so&c>DjLj|1m1ei6%g@`-?x#JtjOova#A7BuSk&Sd$>rls8c3g>K+lhtt~+hd zPYbAePkoUICJ#lvPft^IE03`r?=6FAbf0dEH1vEg&lr7go=Ek0s;{Bb_+=Pq}QUsI2Q>0`mWa;6F{B1+`zJ>!=`v_QZOBJj!1+b${KD6H#nc>V-Nfu){ z4?Zx3)2}jb7mox_08lSKP$DX*_l@&6ypQ`B#oTH?#NYmDYjun^_(EET_7!@Cc{)of zb@Ll|CCTUB5%`aMOJ=cJF8sNy9h7?17x?1dvT0OFqXpQK!K37n9gJ4E!uB;LDI0nD zBT4%Op_`o&ot5o_!agF2CcXD=Iraz2+#Sqxgb#248t*pE^{HYu?-sh*Huy-j-Ox$Vt=n|lWEDR640XN7BK94IQ*3}|wZgtdP)Uo- zii~S>Y4BDXr>0Rk!}ld8odBeU3ZyqzoV7#HtX2UO`c#QouQeKB&<7ra!KT_?T3HI1VXnxxLbZlRllsqZj))LVk{%lEpoV8^9imQLMw|=fn4ab zU2mkfv6Ue_er~OvtBbcoOkN21S)1{(CBQp6AUEG2qnSpFKlc>#`0yS`ZDeLS1pdla zLJD8Te$I@PoE~c-YkTi!0iAH?t`CV=hcyc(>zK034L6EVAyBezBrr0cmfN;zMiu)Wd&38cKw*xnx==O5w)RYT$WC;rTqjw5Kg2J- z1^&~xF~_ImKrt)U8v=|*$19)rPDH?Yt;b$9-dupCc3Hb8XF%O$=}f*^M8@k^>~|mT zX&f(mo94NXrzY+r`ufoUB|SO{u52?cQF-4P5NkM3s>M6GC=uyWf==UTPK=@Ly4;=O z?~eqr?Kv-<^Xv=66;ceV2oMNLu0l_0d7ZoMFAln}xudH+ud}BU!hU$(3<#5#-$j zB|@IA@{~lR&`CwxSi@blNyTApR=g_dk0qj|6r@J+5?m|F{d0VQDaa-=phX)S#m0f} z_(+Xbox94%<;Ts3tv+Sb@pM-p`3egy3vs)YBkQ|0ms^Y?L)@D8CJpxoZ5q_)$fRUK@(+ z%bY7h&}&b2WbI#t=!jr0%W+X?0}V!tC%X))#%-rO;)G|3LilH^Q#O{jNgA0}GX#mg zfFjGsi2$WX*9398Z5;V*3)wzgC=!>MsHhZqD*K_Pt+2p^<@3GzS^t)w3tnzUT?#EnOvKO}Lw3F>g{!AC z0qjD)RQ=q#@x~@l-`a>V(wkxBcDN^RSCbCL!?@R>goP+A2#;B9FT6-Dq-`0y1L^gC zeqsJ-xQQDGC@>)CBU!Ql@8UUu^OP8`#aO%P`x3qcVY|l<;NZ4g= z(((=K4N4cy*I2s6*FfW2PO_NfP#erxEsn`kcHG579$fYEbT&^s81%lq;v^>6+>sH*_d&6xG#0|EDRcaEEn|c>RyQh{ulpz#*TI2-M4CP*iLTc{VMmw{K^n9c;EQwYer$Y&52bR&M?F&_vwcT z^XMBhdw1TJ6%=e5&g}DSmu>}CY>oo##QBoamD5XwPoDhj)?5vM-D@Hd%EvJ72(0Ug zN-*YQ_N@!-(b)kXk1PWAqNWK&U6oQJh$L~*SSE4vx}3uRCR9W4Ee$My&yMV`am%pSxS9M#>im3QB-KnhIHvqNZ@&eS^e8jG|`r z_@3}eKqMW#LbodhO4_6+zT3nQZ8K8D&FD4+73W>t5jr63*+}V=VnC>BH0dbP%FQE% z{^Tnj^Omj7kC)PCewsBPhmh8k;p6bq(NJo|sqiT$y2T~oq_vG()}kBr&V7R7){}RK zJYh(rBQvf0W0N5LlBU`dtkuu8A!awAt+NR)XU*;o;D_OWJ{p+-_sS12eVc|2TG;1I zD2zT|IHr9MiflVX0<-%%5oRq-C0)pTJ!4JWoOX9z&rzyDi`%Dcd}f#8Zxr|+6_y)jL@>l3LoPPI1#iT_mtM8ZyP5-osX8tr-+)^&H*b#P zo?pWI?=xKDRTXrlm)&Q~mz@c$e+Ry~frE*$ij#wdt=aGK-~4{bcB3A)#isrfxBCAYjWh__w- z6&#V&8&uSh5!cqPD%3W5m13=%r0^oy2a-~mjpnEu&G?qI$Q`UfU-Ubf0-!pygYG~4 zU}HGoPLt_%g;Z#iuRx!1Dnsl2Qf1+EcM-rq_)bKW*_6_V{aPZ$#Jpb(q_Z(X|{XF)ZGJiryZa ztf2X=RK1Yf;HQ{VPem-6n2BM*_FL<>6F*FNRTy3J(#_tIlas@1(U%c}fN-J%&cp}n zWBFF-Z5E+&_Q8ls?%-LbU97_);Fr_18Wd4Q`f~5R9vem{sU{PJ1p~BKnYiUH(O6pd z^@z-3W`ld1mR&z!UB%h00`o8sPG1Ap*=<0n!=4*Xapfx2jM&~OlN<4hbNk)vA}MTR zu!#WDTB)21$Wepd&pSmipADeUJvA@wi6g7t$xqPcVI)=E0@iVu24*2q_KD7n4%x6( zGr#5eesZAnpt-^lj-ga|P9sbLyv3lzSO&=V(n;l=Z|(|Cg$NR}0D8=1Sikk!WKeU)A9Ux3pjLwY9D`GDZidKk>`aB%pmVk5f<<2)1)Ves57?e3fLu zL?F$Iq6d+~j;q>b4OqvXcyLCc1$1A{~TKEnc^L{?|G}5j-^DS)ng6o{rKb{qFgclAGL$6uj@QfUrKg9EM(Ao%+ zHGr(U`z-_cWuNQWE}eZe%jj5~B+F<_gstkGjolobz%{6-E-On!eYHkT9s_33;tUN(fmb~0jVl% z46f98i$m(DY|BS}1nrxCZy=gdP7M(=#+e)E4o^uUZ9^i%g>FWmJ8gp7KxDc%1;jiq z^|(95Vy{gtNiauJ@wnfqxNm#U*frTIez$%#mPbwjVG&~vHyA6LLo)>96iXj^oYhYS za_K{qWH218c&x3%1?u!^2ILF1OYO632l^s|%+6+U_QrxvgYd6#MM=wN@bHen&{*AB zxGYGmWLIobNE%CiD`JkeT3PKCeCyh_tJ?k>O_y?Zdk&*K+7vUkS#81#&~vM^po`QT zaVr&7!VeXWaBp(4ZRgUrg}GyM*`B5mRJq1CN#Td-b+Ss zr*<-5Xn805jNqIpt)=f1q7N!0{Yd;QTmXwjh$>y~T|JX$sm2ytaZuvAz zo*?QqvLXXW5fh?AbCN3~n6=rrWQh|ahHz&Wje}hYj}4k#CIKv#DpW=^rZci|7e z6TKKHCv+|(e071ScV1mTLXE!7TT!grhC9y>Itu!-f2p+;U;@!mX*1L2jWWrkyZ5~&k6ookY>swhJ@!b&Hog4zxAtG zu#Je;WkWltAoDEu+X5^Gw0-O*3uK%u2w!+*7PkU|JYP?)K8Q=pB0Othe*-sb990nSL-s6 z&-(ONRpkQ5A`X+R`!3^Snsau}De9T2F>!Eg8kUZ~MO3OS(k;^`tTJ09$)VzGF7%nz z`U!d56?UYIs<_O(PC#T!ALi5}StG_d<^b6fyPpdFa;-OW&h3QWrBkKQcp9s zGg5T0vv*`PvU4!`ZT|hD7x`Zq?WOA?Vx(U55?De1(o1wp;by4ENc(wYVPKe`a}M~} z(65Wvk{`B#GzkLw{j>Sc1xEO|^+=4dz5Sg7 z6*FFQRRb9r9ZcaSa7aox^jiS9Ffk56NsxyvoX|#~E3yKa08yBaMI}E3hz?N*`vrDT zPTt6sl|w6VUt)2#&mxIUzUC&3{yCve@5hRSEvdM?2JAbDnhA_M8u3@h=gv8KhsksK z5oA5g^UI`zjm_i9qqoQv@ewDTs{D8#pL`WpitRXzR9PR; z(+=_>*{;(Cw=(L~Zrw}Rv zOPBroNR5%RTlh_@19eA=v_!~lqlDyNY$&O5QEmtk<6r`-!Tb;;O785FJuO{;%;=Q#of;emfu9W zyKxG@IO()wETFhpW32-}oQ6ZkJoo~rVT<{JQMTz-Zzelpk9Z9ece>N|9jju-jXp)$ zFGcCkGu0@jtJw)l%%=J!t=&7t5W{7Y3e!J?GS}AOBQA;Z>03#Vcqq47;<)R~mt(fF z8RAm&EUnttc%nv;xkM-h5%$mx-mkz~QGe{xTi$Iyq%QGvI`>DH4?m)8FyXP1ssg&+gI}Y0@#yA z%f=3YeT^_}pgWy&S0k>#gx%@OGZ!V@gj+o`c1pogt>^y}+d)9mzpU8)Sq1x_QTxyJ zA2hLwGJkdOSH0eU41c>Oyg=hm>b+kLf7LMkVcPuiuK%ud|3}gEtMOm86n~fk03Q*4 zH~#-9D}MF!Yk~a_Pd||U?AEpAt|1$k`S^leszw+oG_5eT!B>?a@R{hodubJ@A<^t4zGXHm8RFr{v8C?JX P;pOM|Lfp`Fzy14v#jV~% literal 0 HcmV?d00001 diff --git a/uv.lock b/uv.lock index c5bd064..b9ca341 100644 --- a/uv.lock +++ b/uv.lock @@ -242,7 +242,7 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "jmespath" }, { name = "python-dateutil" }, - { name = "urllib3" }, + { name = "urllib3", marker = "python_full_version >= '3.12'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/8d/4f/11d2d314f0bdbe7ff975737d125e1a5357115afe28fcc64f13e68b05ba61/botocore-1.35.36.tar.gz", hash = "sha256:354ec1b766f0029b5d6ff0c45d1a0f9e5007b7d2f3ec89bcdd755b208c5bc797", size = 12808757 } wheels = [ @@ -456,7 +456,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/98/65/13d9e76ca19b0ba5603d71ac8424b5694415b348e719db277b5edc985ff5/cryptography-44.0.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:761817a3377ef15ac23cd7834715081791d4ec77f9297ee694ca1ee9c2c7e5eb", size = 3915420 }, { url = "https://files.pythonhosted.org/packages/b1/07/40fe09ce96b91fc9276a9ad272832ead0fddedcba87f1190372af8e3039c/cryptography-44.0.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3c672a53c0fb4725a29c303be906d3c1fa99c32f58abe008a82705f9ee96f40b", size = 4154498 }, { url = "https://files.pythonhosted.org/packages/75/ea/af65619c800ec0a7e4034207aec543acdf248d9bffba0533342d1bd435e1/cryptography-44.0.0-cp37-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:4ac4c9f37eba52cb6fbeaf5b59c152ea976726b865bd4cf87883a7e7006cc543", size = 3932569 }, - { url = "https://files.pythonhosted.org/packages/4e/d5/9cc182bf24c86f542129565976c21301d4ac397e74bf5a16e48241aab8a6/cryptography-44.0.0-cp37-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:60eb32934076fa07e4316b7b2742fa52cbb190b42c2df2863dbc4230a0a9b385", size = 4164756 }, { url = "https://files.pythonhosted.org/packages/c7/af/d1deb0c04d59612e3d5e54203159e284d3e7a6921e565bb0eeb6269bdd8a/cryptography-44.0.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:ed3534eb1090483c96178fcb0f8893719d96d5274dfde98aa6add34614e97c8e", size = 4016721 }, { url = "https://files.pythonhosted.org/packages/bd/69/7ca326c55698d0688db867795134bdfac87136b80ef373aaa42b225d6dd5/cryptography-44.0.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f3f6fdfa89ee2d9d496e2c087cebef9d4fcbb0ad63c40e821b39f74bf48d9c5e", size = 4240915 }, { url = "https://files.pythonhosted.org/packages/ef/d4/cae11bf68c0f981e0413906c6dd03ae7fa864347ed5fac40021df1ef467c/cryptography-44.0.0-cp37-abi3-win32.whl", hash = "sha256:eb33480f1bad5b78233b0ad3e1b0be21e8ef1da745d8d2aecbb20671658b9053", size = 2757925 }, @@ -467,7 +466,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/d0/c7/c656eb08fd22255d21bc3129625ed9cd5ee305f33752ef2278711b3fa98b/cryptography-44.0.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:c5eb858beed7835e5ad1faba59e865109f3e52b3783b9ac21e7e47dc5554e289", size = 3915417 }, { url = "https://files.pythonhosted.org/packages/ef/82/72403624f197af0db6bac4e58153bc9ac0e6020e57234115db9596eee85d/cryptography-44.0.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:f53c2c87e0fb4b0c00fa9571082a057e37690a8f12233306161c8f4b819960b7", size = 4155160 }, { url = "https://files.pythonhosted.org/packages/a2/cd/2f3c440913d4329ade49b146d74f2e9766422e1732613f57097fea61f344/cryptography-44.0.0-cp39-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:9e6fc8a08e116fb7c7dd1f040074c9d7b51d74a8ea40d4df2fc7aa08b76b9e6c", size = 3932331 }, - { url = "https://files.pythonhosted.org/packages/31/d9/90409720277f88eb3ab72f9a32bfa54acdd97e94225df699e7713e850bd4/cryptography-44.0.0-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:9abcc2e083cbe8dde89124a47e5e53ec38751f0d7dfd36801008f316a127d7ba", size = 4165207 }, { url = "https://files.pythonhosted.org/packages/7f/df/8be88797f0a1cca6e255189a57bb49237402b1880d6e8721690c5603ac23/cryptography-44.0.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d2436114e46b36d00f8b72ff57e598978b37399d2786fd39793c36c6d5cb1c64", size = 4017372 }, { url = "https://files.pythonhosted.org/packages/af/36/5ccc376f025a834e72b8e52e18746b927f34e4520487098e283a719c205e/cryptography-44.0.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a01956ddfa0a6790d594f5b34fc1bfa6098aca434696a03cfdbe469b8ed79285", size = 4239657 }, { url = "https://files.pythonhosted.org/packages/46/b0/f4f7d0d0bcfbc8dd6296c1449be326d04217c57afb8b2594f017eed95533/cryptography-44.0.0-cp39-abi3-win32.whl", hash = "sha256:eca27345e1214d1b9f9490d200f9db5a874479be914199194e746c893788d417", size = 2758672 }, @@ -524,6 +522,7 @@ dependencies = [ { name = "mlflow" }, { name = "numpy" }, { name = "openai" }, + { name = "openpyxl" }, { name = "pandera" }, { name = "prefect" }, { name = "pyarrow" }, @@ -555,6 +554,7 @@ requires-dist = [ { name = "mlflow", specifier = ">=2.18.0" }, { name = "numpy", specifier = ">=1.26.4" }, { name = "openai", specifier = ">=1.55.1" }, + { name = "openpyxl", specifier = ">=3.1.5" }, { name = "pandera", specifier = ">=0.20.4" }, { name = "prefect", specifier = ">=3.1.1" }, { name = "pyarrow", specifier = ">=18.1.0" }, @@ -620,6 +620,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e3/26/57c6fb270950d476074c087527a558ccb6f4436657314bfb6cdf484114c4/docker-7.1.0-py3-none-any.whl", hash = "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0", size = 147774 }, ] +[[package]] +name = "et-xmlfile" +version = "2.0.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d3/38/af70d7ab1ae9d4da450eeec1fa3918940a5fafb9055e934af8d6eb0c2313/et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54", size = 17234 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c1/8b/5fe2cc11fee489817272089c4203e679c63b570a5aaeb18d852ae3cbba6a/et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa", size = 18059 }, +] + [[package]] name = "exceptiongroup" version = "1.2.2" @@ -1526,6 +1535,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/6b/f0/c25aab1845afc3583a808d0a9b844bb3842245d87b9791e588e6aba8ce3a/openai-1.57.1-py3-none-any.whl", hash = "sha256:3865686c927e93492d1145938d4a24b634951531c4b2769d43ca5dbd4b25d8fd", size = 389846 }, ] +[[package]] +name = "openpyxl" +version = "3.1.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "et-xmlfile" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/3d/f9/88d94a75de065ea32619465d2f77b29a0469500e99012523b91cc4141cd1/openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050", size = 186464 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c0/da/977ded879c29cbd04de313843e76868e6e13408a94ed6b987245dc7c8506/openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2", size = 250910 }, +] + [[package]] name = "opentelemetry-api" version = "1.28.2" @@ -1610,7 +1631,7 @@ name = "pandas" version = "2.2.3" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy" }, + { name = "numpy", marker = "python_full_version >= '3.12'" }, { name = "python-dateutil" }, { name = "pytz" }, { name = "tzdata" }, @@ -2351,7 +2372,7 @@ name = "ruamel-yaml" version = "0.18.6" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "ruamel-yaml-clib", marker = "python_full_version < '3.13' and platform_python_implementation == 'CPython'" }, + { name = "ruamel-yaml-clib", marker = "python_full_version < '3.13' and platform_python_implementation == 'CPython' and python_full_version >= '3.12'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/29/81/4dfc17eb6ebb1aac314a3eb863c1325b907863a1b8b1382cdffcb6ac0ed9/ruamel.yaml-0.18.6.tar.gz", hash = "sha256:8b27e6a217e786c6fbe5634d8f3f11bc63e0f80f6a5890f28863d9c45aac311b", size = 143362 } wheels = [ @@ -2370,6 +2391,7 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/52/a9/d39f3c5ada0a3bb2870d7db41901125dbe2434fa4f12ca8c5b83a42d7c53/ruamel.yaml.clib-0.2.12-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:749c16fcc4a2b09f28843cda5a193e0283e47454b63ec4b81eaa2242f50e4ccd", size = 706497 }, { url = "https://files.pythonhosted.org/packages/b0/fa/097e38135dadd9ac25aecf2a54be17ddf6e4c23e43d538492a90ab3d71c6/ruamel.yaml.clib-0.2.12-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bf165fef1f223beae7333275156ab2022cffe255dcc51c27f066b4370da81e31", size = 698042 }, { url = "https://files.pythonhosted.org/packages/ec/d5/a659ca6f503b9379b930f13bc6b130c9f176469b73b9834296822a83a132/ruamel.yaml.clib-0.2.12-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:32621c177bbf782ca5a18ba4d7af0f1082a3f6e517ac2a18b3974d4edf349680", size = 745831 }, + { url = "https://files.pythonhosted.org/packages/db/5d/36619b61ffa2429eeaefaab4f3374666adf36ad8ac6330d855848d7d36fd/ruamel.yaml.clib-0.2.12-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:b82a7c94a498853aa0b272fd5bc67f29008da798d4f93a2f9f289feb8426a58d", size = 715692 }, { url = "https://files.pythonhosted.org/packages/b1/82/85cb92f15a4231c89b95dfe08b09eb6adca929ef7df7e17ab59902b6f589/ruamel.yaml.clib-0.2.12-cp312-cp312-win32.whl", hash = "sha256:e8c4ebfcfd57177b572e2040777b8abc537cdef58a2120e830124946aa9b42c5", size = 98777 }, { url = "https://files.pythonhosted.org/packages/d7/8f/c3654f6f1ddb75daf3922c3d8fc6005b1ab56671ad56ffb874d908bfa668/ruamel.yaml.clib-0.2.12-cp312-cp312-win_amd64.whl", hash = "sha256:0467c5965282c62203273b838ae77c0d29d7638c8a4e3a1c8bdd3602c10904e4", size = 115523 }, { url = "https://files.pythonhosted.org/packages/29/00/4864119668d71a5fa45678f380b5923ff410701565821925c69780356ffa/ruamel.yaml.clib-0.2.12-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:4c8c5d82f50bb53986a5e02d1b3092b03622c02c2eb78e29bec33fd9593bae1a", size = 132011 }, @@ -2378,6 +2400,7 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e2/a9/28f60726d29dfc01b8decdb385de4ced2ced9faeb37a847bd5cf26836815/ruamel.yaml.clib-0.2.12-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:96777d473c05ee3e5e3c3e999f5d23c6f4ec5b0c38c098b3a5229085f74236c6", size = 701785 }, { url = "https://files.pythonhosted.org/packages/84/7e/8e7ec45920daa7f76046578e4f677a3215fe8f18ee30a9cb7627a19d9b4c/ruamel.yaml.clib-0.2.12-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:3bc2a80e6420ca8b7d3590791e2dfc709c88ab9152c00eeb511c9875ce5778bf", size = 693017 }, { url = "https://files.pythonhosted.org/packages/c5/b3/d650eaade4ca225f02a648321e1ab835b9d361c60d51150bac49063b83fa/ruamel.yaml.clib-0.2.12-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:e188d2699864c11c36cdfdada94d781fd5d6b0071cd9c427bceb08ad3d7c70e1", size = 741270 }, + { url = "https://files.pythonhosted.org/packages/87/b8/01c29b924dcbbed75cc45b30c30d565d763b9c4d540545a0eeecffb8f09c/ruamel.yaml.clib-0.2.12-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4f6f3eac23941b32afccc23081e1f50612bdbe4e982012ef4f5797986828cd01", size = 709059 }, { url = "https://files.pythonhosted.org/packages/30/8c/ed73f047a73638257aa9377ad356bea4d96125b305c34a28766f4445cc0f/ruamel.yaml.clib-0.2.12-cp313-cp313-win32.whl", hash = "sha256:6442cb36270b3afb1b4951f060eccca1ce49f3d087ca1ca4563a6eb479cb3de6", size = 98583 }, { url = "https://files.pythonhosted.org/packages/b0/85/e8e751d8791564dd333d5d9a4eab0a7a115f7e349595417fd50ecae3395c/ruamel.yaml.clib-0.2.12-cp313-cp313-win_amd64.whl", hash = "sha256:e5b8daf27af0b90da7bb903a876477a9e6d7270be6146906b276605997c7e9a3", size = 115190 }, ] @@ -2548,7 +2571,7 @@ name = "sqlalchemy" version = "2.0.36" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "greenlet", marker = "(python_full_version < '3.13' and platform_machine == 'AMD64') or (python_full_version < '3.13' and platform_machine == 'WIN32') or (python_full_version < '3.13' and platform_machine == 'aarch64') or (python_full_version < '3.13' and platform_machine == 'amd64') or (python_full_version < '3.13' and platform_machine == 'ppc64le') or (python_full_version < '3.13' and platform_machine == 'win32') or (python_full_version < '3.13' and platform_machine == 'x86_64')" }, + { name = "greenlet", marker = "(python_full_version < '3.13' and platform_machine == 'AMD64' and python_full_version >= '3.12') or (python_full_version < '3.13' and platform_machine == 'WIN32' and python_full_version >= '3.12') or (python_full_version < '3.13' and platform_machine == 'aarch64' and python_full_version >= '3.12') or (python_full_version < '3.13' and platform_machine == 'amd64' and python_full_version >= '3.12') or (python_full_version < '3.13' and platform_machine == 'ppc64le' and python_full_version >= '3.12') or (python_full_version < '3.13' and platform_machine == 'win32' and python_full_version >= '3.12') or (python_full_version < '3.13' and platform_machine == 'x86_64' and python_full_version >= '3.12')" }, { name = "typing-extensions" }, ] sdist = { url = "https://files.pythonhosted.org/packages/50/65/9cbc9c4c3287bed2499e05033e207473504dc4df999ce49385fb1f8b058a/sqlalchemy-2.0.36.tar.gz", hash = "sha256:7f2767680b6d2398aea7082e45a774b2b0767b5c8d8ffb9c8b683088ea9b29c5", size = 9574485 } From 5662533770f77a0ad8436ead5e4000647d10a55b Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Tue, 14 Jan 2025 11:39:35 +0100 Subject: [PATCH 03/12] More work on evaluating the doc type classifiers (ML and rule-based) --- .../VM_document_type_classifier.ipynb | 1161 +++++++++++++---- research/document_types/ground_truth.xlsx | Bin 11674 -> 26275 bytes research/lib/plotting.py | 3 +- 3 files changed, 916 insertions(+), 248 deletions(-) diff --git a/research/document_types/VM_document_type_classifier.ipynb b/research/document_types/VM_document_type_classifier.ipynb index e00ac67..661faac 100644 --- a/research/document_types/VM_document_type_classifier.ipynb +++ b/research/document_types/VM_document_type_classifier.ipynb @@ -2276,28 +2276,53 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Draw random OPD documents and classify them with both the rule-based model and the sklearn model" + "## Test both the rule-based model and the sklearn model on a sample of OpenParlData" ] }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 162, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "66\n" + ] + } + ], + "source": [ + "# Option A: random sample\n", + "# sample_batch = df_opd.sample(10)\n", + "\n", + "# Option B: Use the same sample batch for now: the one where we've manually added ground truth labels\n", + "ground_truth = pd.read_excel(REPOSITORY_ROOT / \"research\" / \"document_types\" / \"ground_truth.xlsx\")[\n", + " [\"document_id\", \"ground_truth\"]\n", + "].set_index(\"document_id\")\n", + "ground_truth = ground_truth.dropna()\n", + "\n", + "sample_batch = df_opd[df_opd[\"document_id\"].isin(ground_truth.index)].copy()\n", + "print(len(sample_batch))" + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "sample_batch = df_opd.sample(10)" + "Use both models to generate predictions:" ] }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 163, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/13 11:01:37 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" + "2025/01/14 11:34:24 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" ] } ], @@ -2312,192 +2337,816 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Copy the sample to the clipboard..." + "(Sample option A only) Copy the sample to the clipboard..." ] }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 164, "metadata": {}, "outputs": [], "source": [ - "sample_batch[[\"document_id\", \"document_source_url\", \"document_title\"]].to_clipboard(index=False)" + "# sample_batch[[\"document_id\", \"document_source_url\", \"document_title\"]].to_clipboard(index=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "...after you have added the true labels, run this to load them back in here:" + "(Sample option A only) ...after adding the true labels, run this to load them back in here:" ] }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 165, "metadata": {}, "outputs": [], "source": [ - "ground_truth = pd.read_excel(REPOSITORY_ROOT / \"research\" / \"document_types\" / \"ground_truth.xlsx\")[\n", - " [\"document_id\", \"ground_truth\"]\n", - "].set_index(\"document_id\")\n", - "sample_batch = sample_batch.join(ground_truth, on=\"document_id\")" + "# ground_truth = pd.read_excel(REPOSITORY_ROOT / \"research\" / \"document_types\" / \"ground_truth.xlsx\")[\n", + "# [\"document_id\", \"ground_truth\"]\n", + "# ].set_index(\"document_id\")\n", + "\n", + "sample_batch_with_ground_truth = sample_batch.join(ground_truth, on=\"document_id\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Display all samples" ] }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 166, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 document_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_mldocument_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_ml
4259543237luvnldocVerordnungsentwurfnanDRAFTDRAFT
4731748204zhvnldocBegleitschreiben Vernehmlassung AufnahmeverordnungnanLETTERLETTER
4793348844nwvnldoc01_RRB 691_Teilrevision Pensionskassengesetz PKG_Antrag an LRnanVARIOUS_TEXTREPORT
4875249695tgvnldocMitwirkungsbericht_BevölkerungsschutzgesetznanNoneOPINION
4299743640nwvnldoc02_Bericht RR an LR_kKGSGnanREPORTREPORT
4980150806urvnldocAuswertungsbericht VernehmlassungnanFINAL_REPORTOPINION
4432544975szvnldocFragebogen  nanSURVEYVARIOUS_TEXT
4669747584zhvnldocVernehmlassungsentwurfnanDRAFTVARIOUS_TEXT
4099641134blvnldocBegleitschreibennanLETTERLETTER
4935450359nwvnldoc01_RRB 603_Antrag an LRnanVARIOUS_TEXTREPORT3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTDRAFT
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenSURVEYNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)RESPONSE_FORMSURVEYVARIOUS_TEXT
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTSYNOPTIC_TABLE
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTVARIOUS_TEXT
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3992740063arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)SYNOPTIC_TABLEVARIOUS_TEXTVARIOUS_TEXT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)SYNOPTIC_TABLENoneVARIOUS_TEXT
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneOPINION
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTOPINION
4270243344luvnldocGesetzesentwurfSYNOPTIC_TABLEDRAFTDRAFT
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026SYNOPTIC_TABLESYNOPTIC_TABLEVARIOUS_TEXT
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneDRAFT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneREPORT
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneDRAFT
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneDRAFT
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneVARIOUS_TEXT
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTDRAFT
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTDRAFT
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTVARIOUS_TEXT
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionRESPONSE_FORMNoneOPINION
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionSYNOPTIC_TABLENoneOPINION
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneDRAFT
4971450719nwvnldoc04_Synopse kStG_ÜStGSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneDRAFT
4979750802urvnldocRichtlinien RevisionDRAFTNoneDRAFT
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTDRAFT
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5092352424zgvnldoc3) AntwortformularRESPONSE_FORMRESPONSE_FORMVARIOUS_TEXT
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 104, + "execution_count": 166, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "sample_batch[\n", + "sample_batch_with_ground_truth[\n", " [\n", " \"document_id\",\n", " \"political_body\",\n", @@ -2518,127 +3167,145 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 167, + "metadata": {}, + "outputs": [], + "source": [ + "# sample_batch.loc[sample_batch[\"document_id\"] == 48487]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### ML model vs. ground truth" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " DRAFT 0.53 0.67 0.59 15\n", + " FINAL_REPORT 0.00 0.00 0.00 1\n", + " LETTER 1.00 0.80 0.89 5\n", + " OPINION 0.00 nan 0.00 0\n", + "RECIPIENT_LIST 1.00 0.86 0.92 7\n", + " REPORT 0.69 0.73 0.71 15\n", + " RESPONSE_FORM nan 0.00 0.00 3\n", + " SURVEY nan 0.00 0.00 1\n", + "SYNOPTIC_TABLE 0.67 0.20 0.31 10\n", + " VARIOUS_TEXT 0.23 0.33 0.27 9\n", + "\n", + " accuracy 0.55 66\n", + " macro avg 0.51 0.40 0.37 66\n", + " weighted avg 0.63 0.55 0.54 66\n", + "\n" + ] + } + ], + "source": [ + "print(\n", + " sklearn.metrics.classification_report(\n", + " sample_batch_with_ground_truth[\"ground_truth\"],\n", + " sample_batch_with_ground_truth[\"prediction_ml\"],\n", + " zero_division=np.nan,\n", + " )\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
document_idconsultation_idconsultation_start_dateconsultation_end_dateconsultation_titleconsultation_descriptiondocument_source_urlconsultation_urlconsultation_topicsdocument_type...organisation_namepolitical_bodyconsultation_reviewed_atdocument_sourceconsultation_topics_label_sourcedocument_content_plainembeddingprediction_ruleprediction_mlground_truth
429434358632992018-11-142019-02-08Vernehmlassung zur Totalrevision des Gesetzes ...https://www.nw.ch/_doc/187636https://www.demokratis.ch/vernehmlassung/z76mgsec[health]NaN...Regierungsrat des Kantons NidwaldennwNaTopenparldataopenparldataAntrag an den Landrat 714.1 \\n 1 \\nGesetz \\nü...[0.006048629991710186, -0.012576724402606487, ...NoneDRAFTNaN
\n", - "

1 rows × 23 columns

\n", - "
" - ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvAAAAKPCAYAAAAL0v5uAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/GU6VOAAAACXBIWXMAAA9hAAAPYQGoP6dpAADgXUlEQVR4nOzdd1xTVxsH8F/CSNhTwYGCIAg468RRR8Ft1bpw46pVa1WcWBWcuPeuCNa9x2vVOqqt1lWtiBsXahUHWxGZef+wpsYEJEhMbvh938/5fF5Ozj33eXK1njw59yKSyWQyEBERERGRIIi1HQAREREREeUfF/BERERERALCBTwRERERkYBwAU9EREREJCBcwBMRERERCQgX8EREREREAsIFPBERERGRgHABT0REREQkIFzAExEREREJCBfwRER64vbt22jatCmsrKwgEomwZ8+eQp0/JiYGIpEIERERhTqvPnB2dkZAQIC2wyCiIoILeCKiQnT37l0MHDgQ5cqVg1QqhaWlJerVq4dFixYhLS1No+fu3bs3rly5gunTp2P9+vWoUaOGRs+nj65fv46QkBDExMRoOxQiolyJZDKZTNtBEBHpg19++QWdOnWCRCJBr169ULFiRWRkZODUqVPYuXMnAgICsHr1ao2cOy0tDaampvjxxx8xbdo0jZxDJpMhPT0dRkZGMDAw0Mg5tG3Hjh3o1KkTjh8/jkaNGuX7uPT0dIjFYhgZGWkuOCKifxlqOwAiIn1w//59+Pv7o2zZsvjtt99QokQJ+WtDhgzBnTt38Msvv2js/C9evAAAWFtba+wcIpEIUqlUY/MLjUwmw5s3b2BiYgKJRKLtcIioCOEWGiKiQjB79my8evUKYWFhCov3d9zc3DBs2DD5z1lZWZg6dSpcXV0hkUjg7OyM8ePHIz09XeE4Z2dntG7dGqdOnUKtWrUglUpRrlw5/Pzzz/IxISEhKFu2LABg9OjREIlEcHZ2BgAEBATI///7QkJCIBKJFPqOHDmC+vXrw9raGubm5vDw8MD48ePlr+e2B/63335DgwYNYGZmBmtra7Rt2xY3btxQeb47d+4gICAA1tbWsLKyQp8+ffD69evc39h/NWrUCBUrVkRUVBQaNmwIU1NTuLm5YceOHQCA33//HbVr14aJiQk8PDxw9OhRheMfPHiAwYMHw8PDAyYmJrCzs0OnTp0UtspERESgU6dOAIDGjRtDJBJBJBLhxIkTAP67Fr/++itq1KgBExMTrFq1Sv7auz3wMpkMjRs3RrFixfD8+XP5/BkZGahUqRJcXV2Rmpr60ZyJiHLDBTwRUSH43//+h3LlyqFu3br5Gt+/f39MmjQJX3zxBRYsWICGDRsiNDQU/v7+SmPv3LmDjh07ws/PD/PmzYONjQ0CAgJw7do1AMA333yDBQsWAAC6du2K9evXY+HChWrFf+3aNbRu3Rrp6emYMmUK5s2bh6+//hp//vlnnscdPXoUzZo1w/PnzxESEoLAwECcPn0a9erVU7mPvHPnznj58iVCQ0PRuXNnREREYPLkyfmKMTExEa1bt0bt2rUxe/ZsSCQS+Pv7Y+vWrfD390fLli0xc+ZMpKamomPHjnj58qX82L/++gunT5+Gv78/Fi9ejO+++w7Hjh1Do0aN5B8gvvzyS/zwww8AgPHjx2P9+vVYv349PD095fPcunULXbt2hZ+fHxYtWoSqVasqxSkSibB27Vq8efMG3333nbw/ODgY165dQ3h4OMzMzPKVMxGRSjIiIvokycnJMgCytm3b5mt8ZGSkDICsf//+Cv2jRo2SAZD99ttv8r6yZcvKAMj++OMPed/z589lEolENnLkSHnf/fv3ZQBkc+bMUZizd+/esrJlyyrFEBwcLHv/n4AFCxbIAMhevHiRa9zvzhEeHi7vq1q1qqx48eKy+Ph4ed/ly5dlYrFY1qtXL6Xz9e3bV2HO9u3by+zs7HI95zsNGzaUAZBt2rRJ3nfz5k0ZAJlYLJadPXtW3v/rr78qxfn69WulOc+cOSMDIPv555/lfdu3b5cBkB0/flxp/LtrcejQIZWv9e7dW6Fv1apVMgCyDRs2yM6ePSszMDCQDR8+/KO5EhF9DCvwRESfKCUlBQBgYWGRr/EHDhwAAAQGBir0jxw5EgCU9sp7eXmhQYMG8p+LFSsGDw8P3Lt3r8Axf+jd3vm9e/ciJycnX8fExsYiMjISAQEBsLW1lfdXrlwZfn5+8jzf935FGgAaNGiA+Ph4+XuYF3Nzc4VvKDw8PGBtbQ1PT0/Url1b3v/u/7///piYmMj/f2ZmJuLj4+Hm5gZra2v8/fff+cj2LRcXFzRr1ixfY7/99ls0a9YMQ4cORc+ePeHq6ooZM2bk+1xERLnhAp6I6BNZWloCgMKWjbw8ePAAYrEYbm5uCv2Ojo6wtrbGgwcPFPrLlCmjNIeNjQ0SExMLGLGyLl26oF69eujfvz8cHBzg7++Pbdu25bmYfxenh4eH0muenp6Ii4tT2uv9YS42NjYAkK9cSpcurbRv38rKCk5OTkp9H86ZlpaGSZMmwcnJCRKJBPb29ihWrBiSkpKQnJz80XO/4+Liku+xABAWFobXr1/j9u3biIiIUPggQURUUFzAExF9IktLS5QsWRJXr15V67gPF6O5ye2RjbJ8PAU4t3NkZ2cr/GxiYoI//vgDR48eRc+ePREVFYUuXbrAz89Paeyn+JRccjs2P3MOHToU06dPR+fOnbFt2zYcPnwYR44cgZ2dXb6/cQCg9gL8xIkT8huTr1y5otaxRES54QKeiKgQtG7dGnfv3sWZM2c+OrZs2bLIycnB7du3FfqfPXuGpKQk+RNlCoONjQ2SkpKU+j+s8gOAWCzGV199hfnz5+P69euYPn06fvvtNxw/flzl3O/ivHXrltJrN2/ehL29vc7crLljxw707t0b8+bNk98QXL9+faX3Jr8fqvIjNjYWQ4cORdOmTdG6dWuMGjVK5ftORKQuLuCJiArBmDFjYGZmhv79++PZs2dKr9+9exeLFi0CALRs2RIAlJ4UM3/+fABAq1atCi0uV1dXJCcnIyoqSt4XGxuL3bt3K4xLSEhQOvbdE1Y+fLTlOyVKlEDVqlWxbt06hYXw1atXcfjwYXmeusDAwECpyr9kyRKlbxfefeBQ9aFHXQMGDEBOTg7CwsKwevVqGBoaol+/fvn6toGIKC/8RU5ERIXA1dUVmzZtQpcuXeDp6anwm1hPnz6N7du3y58TXqVKFfTu3RurV69GUlISGjZsiPPnz2PdunVo164dGjduXGhx+fv7Y+zYsWjfvj1++OEHvH79GitWrIC7u7vCzZtTpkzBH3/8gVatWqFs2bJ4/vw5li9fjtKlS6N+/fq5zj9nzhy0aNECPj4+6NevH9LS0rBkyRJYWVkhJCSk0PL4VK1bt8b69ethZWUFLy8vnDlzBkePHoWdnZ3CuKpVq8LAwACzZs1CcnIyJBIJmjRpguLFi6t1vvDwcPzyyy+IiIhA6dKlAbz9wNCjRw+sWLECgwcPLrTciKjo4QKeiKiQfP3114iKisKcOXOwd+9erFixAhKJBJUrV8a8efMwYMAA+dg1a9agXLlyiIiIwO7du+Ho6IigoCAEBwcXakx2dnbYvXs3AgMDMWbMGLi4uCA0NBS3b99WWMB//fXXiImJwdq1axEXFwd7e3s0bNgQkydPlt8Uqoqvry8OHTqE4OBgTJo0CUZGRmjYsCFmzZql9g2fmrRo0SIYGBhg48aNePPmDerVqyd/hv37HB0dsXLlSoSGhqJfv37Izs7G8ePH1VrA//PPPxgxYgTatGmD3r17y/u7d++OnTt3YsyYMWjRooVOvT9EJCwiGb/LIyIiIiISDO6BJyIiIiISEC7giYiIiIgEhAt4IiIiIiIB4QKeiIiIiKgA/vjjD7Rp0wYlS5aESCTCnj17PnrMiRMn8MUXX0AikcDNzQ0RERFqn5cLeCIiIiKiAkhNTUWVKlWwbNmyfI2/f/8+WrVqhcaNGyMyMhLDhw9H//798euvv6p1Xj6FhoiIiIjoE4lEIuzevRvt2rXLdczYsWPxyy+/4OrVq/I+f39/JCUl4dChQ/k+FyvwRERERET/Sk9PR0pKikLL7TdSq+vMmTPw9fVV6GvWrBnOnDmj1jz8RU6kdXVm/q7tEArFiVENtR0Ckc55nJim7RAKRSkbE22HQP96mZal7RA+WcqbTG2HUChci2nv74VJte81NvfYtvaYPHmyQl9wcHCh/Hbpp0+fwsHBQaHPwcEBKSkpSEtLg4lJ/t5TLuCJiIiIiP4VFBSEwMBAhT6JRKKlaFTjAp6IiIiIhEWkuV3gEolEYwt2R0dHPHv2TKHv2bNnsLS0zHf1HeAeeCIiIiKiz8LHxwfHjh1T6Dty5Ah8fHzUmocLeCIiIiISFpFIc00Nr169QmRkJCIjIwG8fUxkZGQkHj58CODtdpxevXrJx3/33Xe4d+8exowZg5s3b2L58uXYtm0bRowYodZ5uYWGiIiIiIRFg1to1HHhwgU0btxY/vO7vfO9e/dGREQEYmNj5Yt5AHBxccEvv/yCESNGYNGiRShdujTWrFmDZs2aqXVeLuCJiIiIiAqgUaNGyOtXKqn6LauNGjXCpUuXPum8XMATERERkbCoudVF3+jG9w9ERERERJQvrMATERERkbDoyB54bSna2RMRERERCQwr8EREREQkLNwDT0REREREQsEKPBEREREJSxHfA88FPBEREREJC7fQEBERERGRULACT0RERETCUsS30BTt7AUmICAAIpEIIpEIRkZGcHBwgJ+fH9auXYucnBz5OGdnZ/k4U1NTVKpUCWvWrFE55+bNm2FgYIAhQ4YovXbixAn5PO+3CRMmKJxDVQsICNDU24AOX5TE7kG18fuoBgjrVQ1eJSzyHG8uMcAoPzfs/74O/hjVANu+rQmfcrby13cPqo2z4xoqtVF+bhrLQV1bNm1EC78mqFmtErr7d8KVqChth1Qg+pCHPuQA6G4e/9u5BQEdW6Btk1oYPqAHbl2/kuvYB/fuYNqPIxHQsQVa1q+KPds2KI35Zfc2DO7dCR2a1kOHpvUQOLAX/jpzSpMpqE1Xr4W6dCWPnds2oWMbPzSpWw0Devvj+tW84/jt6K/o1qE1mtSthl5d2uHMqT+UxsTcv4uxI4agWcPa8K1fA/17dcbTp08AALFPHqN+DW+V7bejvxZaXkXx7wbljgt4gWnevDliY2MRExODgwcPonHjxhg2bBhat26NrKws+bgpU6YgNjYWV69eRY8ePTBgwAAcPHhQab6wsDCMGTMGmzdvxps3b1Se89atW4iNjZW3cePG4a+//pL/vHPnTqVxixYt0kj+vhWKYVgTV6w5FYPe4Rdx+/krLOxSCTamRirHG4pFWOxfGSWspBi/+zq6/HQeoQej8eJVunxMn4i/0XLJaXkbuvkyAOC3Wy80koO6Dh08gLmzQzFw8BBs2b4bHh4VMGhgP8THx2s7NLXoQx76kAOgu3n8fuxX/LR0Hrr1GYglYZtRzs0dEwMHIykxQeX49PQ3KFGyFPp8Nww2dvYqx9gXc0Cf737A4rBNWLRmE6p8URNTg4bjwb07mkwl33T1WqhLV/I4dvggli6YjT4DBiNsw3a4uXsgcOhAJCaojuPK5UuY/ONotG77DdZu3IEGjZogaNRQ3LtzWz7m8T8PMbh/T5R1dsGSVRFYt2UXAvp9B4mxBABQ3MERew+dUGj9Bg6Biakp6tStXyh5FcW/Gx8lEmmuCQAX8AIjkUjg6OiIUqVK4YsvvsD48eOxd+9eHDx4EBEREfJxFhYWcHR0RLly5TB27FjY2triyJEjCnPdv38fp0+fxrhx4+Du7o5du3apPGfx4sXh6Ogob+bm5ihWrJj8Z1tbW6VxVlZWGsm/a63S2Hs5Fr9ceYaY+NeYdeg23mTmoHVlR5Xj21R2hKXUCGN2XUPU4xTEJqfj0qNk3HmeKh+TlJaJhNT/Wj03OzxKTMPfD5M1koO61q8LxzcdO6Nd+w5wdXPDhODJkEql2LNrp7ZDU4s+5KEPOQC6m8fuLevRvM03aNqqHcq4uOL70RMgkUpxeP8elePdPSui35BANPRtDiMj1R/ia9dviJo+DVDKqSxKlymL3gOHQmpiipt5VC8/J129FurSlTy2bFyHNu06otXX7eFSzg2jg4IhlUqxf5/qf9+2b9mA2j710a1XXzi7uGLAoB/gXsELO7dtko9ZvWwxfOp+icHDRsG9gidKlS6D+g2bwMbWDgBgYGAAO/tiCu2P48fQxLc5TE3NCiWvovh3g/LGBbweaNKkCapUqaJyAZ6Tk4OdO3ciMTERxsbGCq+Fh4ejVatWsLKyQo8ePRAWFva5Qi4QQ7EIHo4W+CsmUd4nA/BXTCIqlbJUeUyD8na4+jgFo5u64cBQH2zsVwO9fcpAnMsHbEOxCM29HbA/6qkGMlBfZkYGbly/hjo+deV9YrEYderURdTlS1qMTD36kIc+5ADobh6ZmZm4E30DVWvUVoirao3auHmtcLZiZGdn4/ejh/DmTRo8vSsXypyfQlevhbp0JY/MzAxE37yOGrV9FOKoUasOrkVdVnnM1ahI1KhVR6Gvtk89XL0SCeDtv6Gn//wdTmXLIvD7AWjt1wADevvjjxPHco3j5o1ruB19E63bfvPpSaFo/t3IF5FYc00AhBElfVSFChUQExMj/3ns2LEwNzeHRCJBx44dYWNjg/79+8tfz8nJQUREBHr06AEA8Pf3x6lTp3D//n2luUuXLg1zc3N509ZXu9amRjAUi5CQmqnQn5iaCTszY5XHlLQ2QeMKxSAWiTBi2xWE//kA3WqVRp+6ZVWOb+huD3OpIX65ohsL+MSkRGRnZ8POzk6h387ODnFxcVqKSn36kIc+5ADobh4pyYnIyc6WVzXfsba1Q0L8p8V1/+5tfOPng7ZNamHp3GmYOGM+yri4ftKchUFXr4W6dCWP5KQkZGdnw/aDP0O2tnaIz+XPUEJ8nNKfORtbOyT8++9cYkI80l6/xoaIMNT2qY8FS1fjy8Zf4cfRw3Dp4l8q59y/dyecXcqhUpVqhZBV0fy7QR/Hp9DoCZlMBtF7+7ZGjx6NgIAAxMbGYvTo0Rg8eDDc3P67KfPIkSNITU1Fy5YtAQD29vbyG2KnTp2qMPfJkydhYfHfjaI2NjYFjjM9PR3p6ekKfTlZGRAbql6AfyqxCEhMzcDMQ9HIkQG3nr1CMQsJutcujbA/HyiNb1PZEWfvJSDuVYZG4iGiz690GWcsDd+K1FevcOrEUcybPgmzl6zhQoU+SiaTAQDqN2yMLt17AwDKe3ji6uVI7Nm5FdWq11QYn/7mDY4eOoDe/b/77LEWhKD/bghkr7qmsAKvJ27cuAEXFxf5z/b29nBzc0ODBg2wfft2/PDDD7h+/br89bCwMCQkJMDExASGhoYwNDTEgQMHsG7dOoUn2gCAi4sL3Nzc5E0sLvgfm9DQUFhZWSm0Jyc25uvYpNeZyMqRwdZMcT+fjZkR4lNVL7jjXmXgUWIacmT/9cXEv4a9uQSGH+yjcbSUoKazDfZejlUvKQ2ysbaBgYGB0rce8fHxsLdXfWOSLtKHPPQhB0B387C0soHYwEDpZsOkhHjY5nITXn4ZGRmhZOkyKF/BC32++wHlXN2xd/umjx+oYbp6LdSlK3lYWVvDwMAACR/8GUpIiIddLn+GbO3slf7MJSbEw/bfbxPezmkI5w8WtGVdyuH5U+V/K44fO4w3b9LQvNXXn5KKgqL4dyNfuIWGhO63337DlStX0KFDB5WvOzk5oUuXLggKCgLw9j+qe/fuxZYtWxAZGSlvly5dQmJiIg4fPqyxWIOCgpCcnKzQSjbqnq9js3JkuPX0JWo6//cNgAhAzbI2uPI4ReUxUf+koLSNCd5fqjvZmuDFy3Rkvb+qB9C6siMSX2fg9B3defqDkbExPL28ce7sGXlfTk4Ozp07g8qF9PXs56APeehDDoDu5mFkZAQ3d09cvnheIa7Ii+dRoZD35ObIcpCZqf1v2XT1WqhLV/IwMjKGewUvXDx/ViGOi3+dg3flKiqPqVi5Ki78dVah769zZ1CxUlX5nJ7eFfHoQYzCmEcPH8ChREml+fbv3YX6XzaGjY2t0msFVRT/btDHcQuNwKSnp+Pp06fIzs7Gs2fPcOjQIYSGhqJ169bo1atXrscNGzYMFStWxIULF3Dq1CnY2dmhc+fOCttuAKBly5YICwtD8+bNNRK/RCKBRCJR6FNn+8zm8/9gYusKuBH7EtdjX6JLjVKQGovxy783nU5q7YEXLzOw4ve3e/l3XXqCTtVLItDPDdsuPIaTrQkCfMpg24XHCvOKALSq5IgDV54hW/bhWbWrZ+8+mDh+LLy9K6JipcrYsH4d0tLS0K594dwg9bnoQx76kAOgu3m09++J+dMnonwFL7h7VsTebRuRnpYGv1ZtAQBzp06AXbHi6PPdDwDe3tz3MOYuACArMwvxL57j7u2bMDExRcnSZQAA4SsXo0adeiju4IjXr1/jxJGDuHLpAqbOX66dJD+gq9dCXbqSh3/33pgeMh4VvLzh6V0J2zatR1paGlq1aQ8AmDopCMWKF8d3348AAHTy74Hvvw3A5g0RqFv/Sxz99SBuXr+KMeND5HN27dkHwUEjUeWL6viiRi2cO30Kp0+ewOJV4Qrn/ufRA1y+dAFzFq0o9LyK4t+NjxJIpVxTuIAXmEOHDqFEiRIwNDSEjY0NqlSpgsWLF6N37955bm3x8vJC06ZNMWnSJPzzzz9o37690uIdADp06ICePXvq7A1UR2++gLWpEQY0cIadmTFuP3+FEVuvIOH12xtbHS2lkL23AH/+Mh3Dtl7B8K9csaFfDbx4mY6tFx5j/dmHCvPWdLZBCSsp/qcjT595X/MWLZGYkIDlSxcjLu4FPCp4YvmqNbAT0FfsgH7koQ85ALqbR8OvmiElKRHr16xAYkIcyrl5YMq85fKb9148i4X4va1vCXHPMbSPv/znnZt/xs7NP6NS1eqYtfTtU7WSExMwb9oEJMTHwczMHC6u7pg6fzm+qOkDXaCr10JdupLHV01bICkxAWtWLkVCfBzc3Ctg3pJV8q0mz54q/hmqVKUagqfPxk/LF2P1soUo7VQWoXOXoJxbefmYho19MSooGBsifsLCuaEoU9YZ02YtRJWq1RXO/cu+3ShW3AG16tQr9LyK4t8NyptIJpPpWL2Ripo6M3/XdgiF4sSohtoOgUjnPE5M03YIhaKUjYm2Q6B/vUzL+vggHZfyJvPjgwTAtZj2/l6YNJ768UEFlHZ8osbmLixF+/sHIiIiIiKB4RYaIiIiIhKWIr4HvmhnT0REREQkMKzAExEREZGwFPFf5MQFPBEREREJC7fQEBERERGRULACT0RERETCUsS30LACT0REREQkIKzAExEREZGwcA88EREREREJBSvwRERERCQs3ANPRERERERCwQo8EREREQlLEd8DzwU8EREREQkLt9AQEREREZFQsAJPRERERMJSxLfQFO3siYiIiIgEhhV4IiIiIhKWIr4Hngt40roToxpqOwQi0pCKTUdrO4RCkfjXUm2HQP+yMBH+0kUfciDt4p8gIiIiIhIW7oEnIiIiIiKhYAWeiIiIiISFFXgiIiIiIhIKVuCJiIiISFj4FBoiIiIiIgHhFhoiIiIiIhIKVuCJiIiISFiK+BYaVuCJiIiIiASEFXgiIiIiEhbugSciIiIiIqFgBZ6IiIiIhIV74ImIiIiISChYgSciIiIiQREV8Qo8F/BEREREJChFfQHPLTRERERERALCCjwRERERCUvRLsDrVwU+ICAAIpFIqd25cwcBAQFo166d0tiZM2cqzLFnz55cv5apUKECJBIJnj59qvRao0aNMHz48ALF/X6slpaWqFmzJvbu3aswJiIiQmVuUqlUZf7GxsZwc3PDlClTkJWVJR+TnZ2NBQsWoFKlSpBKpbCxsUGLFi3w559/5no+sViMEiVKoEuXLnj48CFiYmJUxvJ+i4iIKNB7Udi2bNqIFn5NULNaJXT374QrUVHaDqlAmIfu0IccAOHnUe8LV+xYOBD3Dk9H2qWlaNOosrZDKjChX4t39CEPfcgB0J88KHd6tYAHgObNmyM2Nlahubi4qBwrlUoxa9YsJCYmfnTeU6dOIS0tDR07dsS6desKO2yEh4cjNjYWFy5cQL169dCxY0dcuXJFYYylpaVSbg8ePFAY8y7/27dvY+TIkQgJCcGcOXMAADKZDP7+/pgyZQqGDRuGGzdu4MSJE3ByckKjRo2wZ88eled7/Pgxdu7ciVu3bqFTp05wcnJSiGHkyJHw9vZW6OvSpUuhv0fqOnTwAObODsXAwUOwZftueHhUwKCB/RAfH6/t0NTCPHSHPuQA6EceZiYSXIl+jOGhW7UdyifRh2sB6Ece+pADoD95fMzHComf0oRA7xbwEokEjo6OCs3AwEDlWF9fXzg6OiI0NPSj84aFhaFbt27o2bMn1q5dW9hhw9raGo6OjnB3d8fUqVORlZWF48ePK4wRiURKuTk4OCiMeZd/2bJlMWjQIPj6+mLfvn0AgG3btmHHjh34+eef0b9/f7i4uKBKlSpYvXo1vv76a/Tv3x+pqalK5ytRogTq1q2Lfv364fz580hNTVWIwdzcHIaGhgp9JiYmhf4eqWv9unB807Ez2rXvAFc3N0wIngypVIo9u3ZqOzS1MA/doQ85APqRx+E/r2Py8v3Yd1zYlUV9uBaAfuShDzkA+pMH5U3vFvDqMDAwwIwZM7BkyRL8888/uY57+fIltm/fjh49esDPzw/Jyck4efKkRmLKyspCWFgYAMDY2PiT5zMxMUFGRgYAYNOmTXB3d0ebNm2Uxo0cORLx8fE4cuSIynmeP3+O3bt3w8DAINcPRLokMyMDN65fQx2fuvI+sViMOnXqIuryJS1Gph7moTv0IQdAf/LQB/pyLfQhD33IAdCfPPKDFXg9s3//fpibm8tbp06d8hzfvn17VK1aFcHBwbmO2bJlC8qXLw9vb28YGBjA399fvsguLF27doW5uTkkEglGjBgBZ2dndO7cWWFMcnKyQm7m5uZo0aKFyvlkMhmOHj2KX3/9FU2aNAEAREdHw9PTU+X4d/3R0dFK5zMzM4ODgwOOHz+OIUOGwMzMrMB5pqenIyUlRaGlp6cXeL7cJCYlIjs7G3Z2dgr9dnZ2iIuLK/TzaQrz0B36kAOgP3noA325FvqQhz7kAOhPHvRxevcUmsaNG2PFihXyn/Oz2Jw1axaaNGmCUaNGqXx97dq16NGjh/znHj16oGHDhliyZAksLCw+PWgACxYsgK+vL+7du4cRI0Zg8eLFsLW1VRhjYWGBv//+W6Hvw60q7z7AZGZmIicnB926dUNISIj8dZlMlu+Y3p0vMzMTBw8exMaNGzF9+nT1k3tPaGgoJk+erND348RgTJgUovoAIiIiog8IpVKuKXq3gDczM4Obm5tax3z55Zdo1qwZgoKCEBAQoPDa9evXcfbsWZw/fx5jx46V92dnZ2PLli0YMGBAYYQNR0dHuLm5wc3NDeHh4WjZsiWuX7+O4sWLy8eIxeKP5vbuA4yxsTFKliwJQ8P/LrG7uztu3Lih8rh3/e7u7irP5+npibt372LQoEFYv359gfMMCgpCYGCgQp/MQFLg+XJjY20DAwMDpZt24uPjYW9vX+jn0xTmoTv0IQdAf/LQB/pyLfQhD33IAdCfPPKjqC/g9W4LTUHNnDkT//vf/3DmzBmF/rCwMHz55Ze4fPkyIiMj5S0wMLDQt9G8U6tWLVSvXr1A1e53H2DKlCmjsHgHAH9/f9y+fRv/+9//lI6bN28e7Ozs4Ofnl+vc48aNw9atW5W+BVCHRCKBpaWlQpNICn8Bb2RsDE8vb5w7+9/1zMnJwblzZ1C5SrVCP5+mMA/doQ85APqThz7Ql2uhD3noQw6A/uRBH6d3FfiCqlSpErp3747FixfL+zIzM7F+/XpMmTIFFStWVBjfv39/zJ8/H9euXYO3tzcA4MWLF4iMjFQYV6JECaUnxeTH8OHD0b59e4wZMwalSpUC8Hb7i6pn0BcvXhxi8cc/i/n7+2P79u3o3bs35syZg6+++gopKSlYtmwZ9u3bh+3bt+e55cjJyQnt27fHpEmTsH//frVz+tx69u6DiePHwtu7IipWqowN69chLS0N7dp/o+3Q1MI8dIc+5ADoRx5mJsZwdSom/9m5lB0qu5dCYsprPHr68UcD6wp9uBaAfuShDzkA+pPHRxXtAjwX8O+bMmUKtm7975nC+/btQ3x8PNq3b6801tPTE56enggLC8P8+fMBvH3Ky6ZNmxTGTZ06FRMmTFA7lubNm8PFxQXTp0/H8uXLAQApKSkoUaKE0tjY2Fg4Ojp+dE6RSIRt27Zh4cKFWLBgAQYPHgypVAofHx+cOHEC9erV++gcI0aMgI+PD86fP49atWqpndfn1LxFSyQmJGD50sWIi3sBjwqeWL5qDewE9jUi89Ad+pADoB95fOFVFofXDJP/PHtUBwDA+n1n8W3wBm2FpTZ9uBaAfuShDzkA+pMH5U0kU+euRiINeJP18TFEJEw2Nb/XdgiFIvGvpdoOgUjnSLVYBrburrkP6kkbe3x8kJZxDzwRERERkYBwAa9hM2bMUHp2+8ee4U5EREREuSvqv8iJe+A17LvvvlP6hUzvfPgMdyIiIiKij+ECXsNsbW2VfiETERERERWcUCrlmsIFPBEREREJSlFfwHMPPBERERGRgLACT0RERETCUrQL8KzAExEREREJCSvwRERERCQo3ANPRERERESCwQo8EREREQkKK/BERERERCQYrMATERERkaCwAk9EREREJCQiDbYCWLZsGZydnSGVSlG7dm2cP38+z/ELFy6Eh4cHTExM4OTkhBEjRuDNmzf5Ph8X8EREREREBbR161YEBgYiODgYf//9N6pUqYJmzZrh+fPnKsdv2rQJ48aNQ3BwMG7cuIGwsDBs3boV48ePz/c5uYAnIiIiIkERiUQaa+qaP38+BgwYgD59+sDLywsrV66Eqakp1q5dq3L86dOnUa9ePXTr1g3Ozs5o2rQpunbt+tGq/fu4gCciIiIi+ld6ejpSUlIUWnp6usqxGRkZuHjxInx9feV9YrEYvr6+OHPmjMpj6tati4sXL8oX7Pfu3cOBAwfQsmXLfMfIm1iJSM550A5th1AoYlZ01HYI9K/Ev5ZqOwQinXPryUtth1AoqpSx0Nq5NXkTa2hoKCZPnqzQFxwcjJCQEKWxcXFxyM7OhoODg0K/g4MDbt68qXL+bt26IS4uDvXr14dMJkNWVha+++47bqEhIiIiIiqIoKAgJCcnK7SgoKBCm//EiROYMWMGli9fjr///hu7du3CL7/8gqlTp+Z7DlbgiYiIiEhQNFmBl0gkkEgk+Rprb28PAwMDPHv2TKH/2bNncHR0VHnMxIkT0bNnT/Tv3x8AUKlSJaSmpuLbb7/Fjz/+CLH44/V1VuCJiIiIiArA2NgY1atXx7Fjx+R9OTk5OHbsGHx8fFQe8/r1a6VFuoGBAQBAJpPl67yswBMRERGRoOjSL3IKDAxE7969UaNGDdSqVQsLFy5Eamoq+vTpAwDo1asXSpUqhdDQUABAmzZtMH/+fFSrVg21a9fGnTt3MHHiRLRp00a+kP8YLuCJiIiISFh0Z/2OLl264MWLF5g0aRKePn2KqlWr4tChQ/IbWx8+fKhQcZ8wYQJEIhEmTJiAx48fo1ixYmjTpg2mT5+e73OKZPmt1RNpyJssbUdA7/ApNEREmsen0Hy6kt/t0tjcT1Z+o7G5Cwsr8EREREQkKLq0hUYbeBMrEREREZGAsAJPRERERILCCjwREREREQkGK/BEREREJCiswBMRERERkWCwAk9EREREwlK0C/BcwBMRERGRsHALDRERERERCQYr8EREREQkKKzAExERERGRYHABr4MCAgLQrl07la85OztDJBIptZkzZyIkJETla+q0EydOICIiQuVrUqlUIcZ3/UZGRnBxccGYMWPw5s2bz/Qu5c+WTRvRwq8JalarhO7+nXAlKkrbIRWIkPLo08gVf4W2QMzy9jgQ1ATVnG3yHD/gKzecmtoM95e1x8VZLTG5cxVIDHX3P01CuhZ50Yc89CEHgHnoEiHlcGjvNgzp0QbdW9bF+KG9cefm1VzHHj2wG5NG9Eef9o3Rp31jTB0zOM/xQvCp6528mhDo7r+SlKspU6YgNjZWoQ0dOhSjRo1S6CtdurTC2AcPHii83rlzZzRv3lyhr27dugAAS0tLpXM8ePBAIY53x967dw8LFizAqlWrEBwcrI23RKVDBw9g7uxQDBw8BFu274aHRwUMGtgP8fHx2g5NLULKo22N0gjpXBnz/ncdTacexbV/krB5eAPYW0hUjm9fywk/dqiEef+7ji8n/YrAdRfRtmZpBH1T8TNHnj9CuhZ50Yc89CEHgHnoEiHlcPrEYfy8agE69hiAWSs2oGw5d0wPGorkxASV469fvoh6jZsheM5KTFsUDrtiDpg27nskxD3/zJFTYeECXoAsLCzg6Oio0MzMzGBubq7QZ2BgoDC2TJkyCq+bmJhAIpEo9BkbGwN4+8n2w3M4ODgoxPHuWCcnJ7Rr1w6+vr44cuSINt4SldavC8c3HTujXfsOcHVzw4TgyZBKpdiza6e2Q1OLkPIY6OeOjSfvY8vpB4iOfYkxG/5GWkY2/Os5qxxf09UOf92Jx+7zj/Ao/jV+v/4Me84/QjVn288beD4J6VrkRR/y0IccAOahS4SUw/6dG/FVi3Zo3PxrlC5bDgOGBcFYIsXxX/epHP9D0DQ0+7oTnN08UKqMM74LnACZTIYrl85/5sgLDyvwRIXg6tWrOH36tPwDgLZlZmTgxvVrqONTV94nFotRp05dRF2+pMXI1COkPIwMRKhc1hp/3PivoiOTASdvPEMNVzuVx/x1Nx6Vy1rLt9mUsTdDk0qOOHb16WeJWR1CuhZ50Yc89CEHgHnoEiHlkJWZiXvRN1Hpi9ryPrFYjEpf1EL09fxt+UlPf4OsrCyYW1hpKkzSMD6FRoDGjh2LCRMmKPQdPHgQDRo0KLRzJCcnw9zcXKGvQYMGOHjwoPzn/fv3w9zcHFlZWUhPT4dYLMbSpUvznDc9PR3p6ekKfTIDCSQS1VssCioxKRHZ2dmws1NcONrZ2eH+/XuFei5NElIetuYSGBqI8SJF8T6IFynpcHO0VHnM7vOPYGsuwd6xjSECYGQoxroTd7H4wM3PELF6hHQt8qIPeehDDgDz0CVCyiElOQk5OdmwtlH8ptLaxhZPHsXka46Na5bA1s4elb6opYEIPxNhFMo1hgt4ARo9ejQCAgIU+kqVKlWo57CwsMDff/+t0GdiYqLwc+PGjbFixQqkpqZiwYIFMDQ0RIcOHfKcNzQ0FJMnT1bo+3FiMCZMCimUuElY6roXw7CWFTBu49/4+34CXIqbY2qXqhjR6g0W/HJD2+EREemdPVsi8OeJwwiZuwrGxoVbPPuchLLVRVO4gBcge3t7uLm5afQcYrH4o+cwMzOTj1m7di2qVKmCsLAw9OvXL9djgoKCEBgYqNAnMyj8/4DYWNvAwMBA6eaj+Ph42NvbF/r5NEVIeSS8SkdWdg6KWUoV+otZSvA8RfXTica088aOsw+w6VQMAODm4xSYGhtiTs8vsPDADchkmo46/4R0LfKiD3noQw4A89AlQsrB0soaYrEBkj64YTUpMQHWNqq3K76zb/t67NkSgYmzlqNsufKaDJM0jHvgqVCIxWKMHz8eEyZMQFpaWq7jJBIJLC0tFVphb58BACNjY3h6eePc2TPyvpycHJw7dwaVq1Qr9PNpipDyyMyWIepBEhp4Fpf3iURAfc/iuHBX9VMcTIwNkPPBIj3731W7rtVWhHQt8qIPeehDDgDz0CVCysHQyAjl3Cvg6ns3oObk5ODqpb/g7lU51+P2bl2HnRvWYPyMJXD18PocoWpUUb+JlRV4HZWcnIzIyEiFvnd7816+fImnTxVv8jM1NYWlpep9xgUhk8mUzgEAxYsXh1is+nNfp06dMHr0aCxbtgyjRo0qtFgKqmfvPpg4fiy8vSuiYqXK2LB+HdLS0tCu/TfaDk0tQspj1ZFoLOpbE5djEnHpfgIG+JaHqbEhtvwZAwBY0rcmYhPTMGP32+cPH7kci4F+5XHl4dvxzsXMMbatN45ExSot7HWBkK5FXvQhD33IAWAeukRIObTu0B3LZoegnLsX3Dy8cWD3JqS/SUOjZm0AAEtnTYKtfXF06/c9gLfbZrb9vAo/BE1DcccSSEqIAwBITUwhNTHVWh5UcFzA66gTJ06gWjXFT/3vtqZMmjQJkyZNUnht4MCBWLlyZaGdPyUlBSVKlFDqj42NhaOjo8pjDA0N8f3332P27NkYNGgQzMzMCi2egmjeoiUSExKwfOlixMW9gEcFTyxftQZ2OvZ16McIKY+9F/6BnYUEY9p6oZilFNceJaProlOIe/n2xuVStqbIeW9fzIJfbkAGGca1qwhHaxPEv0zHkagnCN19TVsp5ElI1yIv+pCHPuQAMA9dIqQc6jZqipSkRGxbtxJJifFwdnXH+BlL5Fto4p4/hUj0X7HtyP6dyMrMxPwpYxXm6dhzADr3GvhZYy8sAimUa4xIJtOlXaZUFL3J0nYE9I7zoB3aDqFQxKzoqO0QiIhydevJS22HUCiqlLHQ2rndRh38+KACujO3hcbmLiyswBMRERGRoAhlr7qm8CZWIiIiIiIBYQWeiIiIiASliBfguYAnIiIiImHhFhoiIiIiIhIMVuCJiIiISFCKeAGeFXgiIiIiIiFhBZ6IiIiIBEUsLtoleFbgiYiIiIgEhBV4IiIiIhIU7oEnIiIiIiLBYAWeiIiIiASFz4EnIiIiIiLBYAWeiIiIiASliBfguYAnIiIiImHhFhoiIiIiIhIMVuCJiIiISFBYgSciIiIiIsFgBZ6I5GJWdNR2CEREes+jpIW2QxC8Il6AZwWeiIiIiEhIWIEnIiIiIkHhHngiIiIiIhIMVuCJiIiISFCKeAGeC3giIiIiEhZuoSEiIiIiIsFgBZ6IiIiIBKWIF+BZgSciIiIiEhJW4ImIiIhIULgHnoiIiIiIBIMVeCIiIiISlCJegGcFnoiIiIhISFiBJyIiIiJBKep74LmAJyIiIiJBKeLrd26hISIiIiISElbgiYiIiEhQivoWGlbgtejRo0fo27cvSpYsCWNjY5QtWxbDhg1DfHy8fEyjRo0gEokgEokglUrh5eWF5cuXy1+PiIiAtbW1ws8ikQjNmzdXOFdSUhJEIhFOnDgh7xOJRNizZ4/CuP3796Nhw4awsLCAqakpatasiYiICIUxMTExEIlEKF68OF6+fKnwWtWqVRESElKg90MTtmzaiBZ+TVCzWiV09++EK1FR2g6pQJiH7tCHHAD9yEMfcgCYhy7RhxwA/cmDcscFvJbcu3cPNWrUwO3bt7F582bcuXMHK1euxLFjx+Dj44OEhAT52AEDBiA2NhbXr19H586dMWTIEGzevDnXuQ0NDXH06FEcP35crZiWLFmCtm3bol69ejh37hyioqLg7++P7777DqNGjVIa//LlS8ydO1etc3xOhw4ewNzZoRg4eAi2bN8ND48KGDSwn8IHJCFgHrpDH3IA9CMPfcgBYB66RB9yAPQnj48RiTTXhIALeC0ZMmQIjI2NcfjwYTRs2BBlypRBixYtcPToUTx+/Bg//vijfKypqSkcHR1Rrlw5hISEoHz58ti3b1+uc5uZmaFv374YN25cvuN59OgRRo4cieHDh2PGjBnw8vKCm5sbRo4ciTlz5mDevHk4d+6cwjFDhw7F/Pnz8fz5c/XfgM9g/bpwfNOxM9q17wBXNzdMCJ4MqVSKPbt2ajs0tTAP3aEPOQD6kYc+5AAwD12iDzkA+pMH5Y0LeC1ISEjAr7/+isGDB8PExEThNUdHR3Tv3h1bt26FTCZTebyJiQkyMjLyPEdISAiuXLmCHTt25CumHTt2IDMzU2WlfeDAgTA3N1eq+nft2hVubm6YMmVKvs7xOWVmZODG9Wuo41NX3icWi1GnTl1EXb6kxcjUwzx0hz7kAOhHHvqQA8A8dIk+5ADoTx758W57sSaaEHABrwW3b9+GTCaDp6enytc9PT2RmJiIFy9eKPRnZ2djw4YNiIqKQpMmTfI8R8mSJTFs2DD8+OOPyMrK+mhM0dHRsLKyQokSJZReMzY2Rrly5RAdHa3QLxKJMHPmTKxevRp379796Dk+p8SkRGRnZ8POzk6h387ODnFxcVqKSn3MQ3foQw6AfuShDzkAzEOX6EMOgP7kQR/HBbwW5VZh/9Dy5cthbm4OExMTDBgwACNGjMCgQYM+etzYsWPx4sULrF279lNDzVWzZs1Qv359TJw4MV/j09PTkZKSotDS09M1Fh8RERHpH+6Bp8/Ozc0NIpEIN27cUPn6jRs3YGNjg2LFigEAunfvjsjISNy/fx+pqamYP38+xOKPXzpra2sEBQVh8uTJeP36dZ5j3d3dkZycjCdPnii9lpGRgbt378Ld3V3lsTNnzsTWrVtx6dLHv54LDQ2FlZWVQpszK/Sjx6nLxtoGBgYGSjftxMfHw97evtDPpynMQ3foQw6AfuShDzkAzEOX6EMOgP7kkR/cQkOfnZ2dHfz8/LB8+XKkpaUpvPb06VNs3LgRXbp0kf8hsrKygpubG0qVKpWvhfv7hg4dCrFYjEWLFuU5rkOHDjAyMsK8efOUXlu5ciVSU1PRtWtXlcfWqlUL33zzTb5umg0KCkJycrJCGz02KH/JqMHI2BieXt44d/aMvC8nJwfnzp1B5SrVCv18msI8dIc+5ADoRx76kAPAPHSJPuQA6E8e9HH8RU5asnTpUtStWxfNmjXDtGnT4OLigmvXrmH06NEoVaoUpk+fXijnkUqlmDx5MoYMGZLnuDJlymD27NkYOXIkpFIpevbsCSMjI+zduxfjx4/HyJEjUbt27VyPnz59Ory9vWFomPcfKYlEAolEotD35uNb9AukZ+8+mDh+LLy9K6JipcrYsH4d0tLS0K79N5o5oYYwD92hDzkA+pGHPuQAMA9dog85APqTx8cIpVKuKVzAa0n58uVx4cIFBAcHo3PnzkhISICjoyPatWuH4OBg2NraFtq5evfujXnz5uH69et5jhs+fDjKlSuHuXPnYtGiRcjOzoa3tzdWrFiBPn365Hmsu7s7+vbti9WrVxda3J+qeYuWSExIwPKlixEX9wIeFTyxfNUa2Ansa0TmoTv0IQdAP/LQhxwA5qFL9CEHQH/yoLyJZPm9k5JIQzRVgSciIiLNkWqxDNxwwZ8am/v3EfU0Nndh4R54IiIiIiIB4RYaIiIiIhKUor4HnhV4IiIiIiIBYQWeiIiIiASliBfguYAnIiIiImHhFhoiIiIiIhIMVuCJiIiISFCKeAGeFXgiIiIiIiFhBZ6IiIiIBEVcxEvwrMATEREREQkIK/BEREREJChFvADPCjwRERERkZCwAk9EREREglLUnwPPBTwRERERCYq4aK/fuYWGiIiIiOhTLFu2DM7OzpBKpahduzbOnz+f5/ikpCQMGTIEJUqUgEQigbu7Ow4cOJDv87ECT0RERESCoktbaLZu3YrAwECsXLkStWvXxsKFC9GsWTPcunULxYsXVxqfkZEBPz8/FC9eHDt27ECpUqXw4MEDWFtb5/ucIplMJivEHIjU9iZL2xEQERGRuqRaLAO3XJl3hftTHPiullrja9eujZo1a2Lp0qUAgJycHDg5OWHo0KEYN26c0viVK1dizpw5uHnzJoyMjAoUI7fQEBEREZGgiESaa+np6UhJSVFo6enpKuPIyMjAxYsX4evrK+8Ti8Xw9fXFmTNnVB6zb98++Pj4YMiQIXBwcEDFihUxY8YMZGdn5zt/bqEhItJB9t0itB1CoYjbFKDtEIh0zj8JadoOoVC4FTfRdggaERoaismTJyv0BQcHIyQkRGlsXFwcsrOz4eDgoNDv4OCAmzdvqpz/3r17+O2339C9e3ccOHAAd+7cweDBg5GZmYng4OB8xcgFPBEREREJigia2wMfFBSEwMBAhT6JRFJo8+fk5KB48eJYvXo1DAwMUL16dTx+/Bhz5szhAp6IiIiISF0SiSTfC3Z7e3sYGBjg2bNnCv3Pnj2Do6OjymNKlCgBIyMjGBgYyPs8PT3x9OlTZGRkwNjY+KPn5R54IiIiIhIUsUhzTR3GxsaoXr06jh07Ju/LycnBsWPH4OPjo/KYevXq4c6dO8jJyZH3RUdHo0SJEvlavANcwBMRERGRwIhEIo01dQUGBuKnn37CunXrcOPGDQwaNAipqano06cPAKBXr14ICgqSjx80aBASEhIwbNgwREdH45dffsGMGTMwZMiQfJ+TW2iIiIiIiAqoS5cuePHiBSZNmoSnT5+iatWqOHTokPzG1ocPH0Is/q9m7uTkhF9//RUjRoxA5cqVUapUKQwbNgxjx47N9zn5HHjSOj4HnkgZn0JDpL/4FJpP127NBY3Nvad/DY3NXVi4hYaIiIiISEC4hYaIiIiIBEVcgL3q+oQVeCIiIiIiAWEFnoiIiIgEpYgX4FmBJyIiIiISElbgiYiIiEhQCvK8dn3CBTwRERERCUoRX79zCw0RERERkZCwAk9EREREgsLHSBIRERERkWAIcgEfEBAAkUgEkUgEIyMjuLi4YMyYMXjz5o18zLvXP2xbtmyRj5HJZFi9ejVq164Nc3NzWFtbo0aNGli4cCFev34NAAgJCUHVqlXlx4SEhMjnMjQ0hLOzM0aMGIFXr14BAGJiYiASiRAZGanws6p29uxZAEBERAREIhGaN2+ukGdSUhJEIhFOnDghH5NXi4mJyfN9+zCXDzVq1AjDhw+X/3z//n1069YNJUuWhFQqRenSpdG2bVvcvHmzUOL5HLZs2ogWfk1Qs1oldPfvhCtRUdoOqUCYh+7Q5Ry+bVYB15Z2RNyGnjg+vRWqu9rnOX5wSy/8vbA9XmzogZvLO2Fm75qQGBkojClhY4o1QxvgQZg/XmzogXNz26JaOTtNppFvunwt1ME8dIcu57B/1xb06dQC7b6qhRHf9sCt61dyHfvg/h1MnzASfTq1QKsGVbFn24Y85962YS1aNaiK1YtnF3bYGiPSYBMCQS7gAaB58+aIjY3FvXv3sGDBAqxatQrBwcEKY8LDwxEbG6vQ2rVrJ3+9Z8+eGD58ONq2bYvjx48jMjISEydOxN69e3H48OFcz+3t7Y3Y2FjExMRg1qxZWL16NUaOHJlnvEePHlWKpXr16vLXDQ0NcfToURw/flzl8V26dFE41sfHBwMGDFDoc3Jyysc7lz+ZmZnw8/NDcnIydu3ahVu3bmHr1q2oVKkSkpKSPns8BXHo4AHMnR2KgYOHYMv23fDwqIBBA/shPj5eq3Gpi3noDl3OoYOPM0J71UTojkjUH7sPVx8kYM+PfihmKVU5vlM9F0zpVh2h2yNRfcQeDF75Jzr4uCCk6xfyMdZmxjg6tSUys3LwzYyjqDFiD4J+/gtJqRmfK61c6fK1UAfz0B26nMMfx37FT0vnoVvAQCxesxkubu6YOHIwkhITVI5Pf/MGjiVKIWDgMNjY5v1BPvrGVRzatwMuru6aCJ00RLALeIlEAkdHRzg5OaFdu3bw9fXFkSNHFMZYW1vD0dFRoUmlb/8x27ZtGzZu3IjNmzdj/PjxqFmzJpydndG2bVv89ttvaNy4ca7nNjQ0hKOjI0qXLo0uXbqge/fu2LdvX57x2tnZKcViZGQkf93MzAx9+/bFuHHjVB5vYmKicKyxsTFMTU0V+gwMDFQeWxDXrl3D3bt3sXz5ctSpUwdly5ZFvXr1MG3aNNSpU+ezx1MQ69eF45uOndGufQe4urlhQvBkSKVS7Nm1U6txqYt56A5dzuH71t6IOBaNDSfu4ObjZPzw0xmkZWShZ+PyKsfX8SiOs7eeYfuf9/HwxSv8FvUE2/+8h+pu//1jP6JtJTyOT8WgFX/i4t04PPh33P1nLz9XWrnS5WuhDuahO3Q5h91b16N5m2/g16odyri44vtREyCVSnH4lz0qx7t7VkS/IYFo6NscRsZGKscAQNrr15gzZTyGjpkEcwsLDUWvGR/bBfApTQgEu4B/39WrV3H69GkYGxvn+5iNGzfCw8MDbdu2VXpNJBLBysoq33OZmJggI+PTK1IhISG4cuUKduzY8clzfapixYpBLBZjx44dyM7O1nY4asvMyMCN69dQx6euvE8sFqNOnbqIunxJi5Gph3noDl3OwchAjGrl7HD8Sqy8TyYDjl+JRS33YiqPOXvrOaqWs5dvs3Eubo5m1Urj8KV/5GNa1XDC3/fisH5EI9z/qQv+nNUGAV+p/kDwOenytVAH89AdupxDZmYm7kTfQNXqteV9YrEYVWvUxs1rn7bFZ8WCGajp0wDVatT51DDpMxPsAn7//v0wNzeHVCpFpUqV8Pz5c4wePVphTNeuXWFubq7QHj58CAC4ffs2PDw8PjmOixcvYtOmTWjSpEme4+rWrasUy4dKliyJYcOG4ccff0RWVtYnx/YpSpUqhcWLF2PSpEmwsbFBkyZNMHXqVNy7d0+rceVXYlIisrOzYWenuFfXzs4OcXFxWopKfcxDd+hyDnaWEhgaiPE8KU2h/3lSGhysTVQes/3P+5i+7RKOTG2BxE29cHVpR5y8/hRzd/+3r9a5uAX6+1XAnacpaDv9CNYcvoU5fWqjW0NXjebzMbp8LdTBPHSHLueQkpyInOxsWNsqxmZtY4fE+ILH9vvRQ7gTfRMBA3/41BC1QizSXBMCwT5GsnHjxlixYgVSU1OxYMECGBoaokOHDgpjFixYAF9fX4W+kiVLAnh7A2tBXblyBebm5sjOzkZGRgZatWqFpUuX5nnM1q1b4enp+dG5x44di1WrVmHt2rXo3LlzgWMsDEOGDEGvXr1w4sQJnD17Ftu3b8eMGTOwb98++Pn5FWjO9PR0pKenK/TJDCSQSCSFETIR5VMDL0eMal8ZI9acxYXbL1DO0RKz+9TC2A6VMWvn26qeWAz8fTcekzf/DQCIikmAVxlr9PPzwKbf72ozfCL6BC+ePcXqxbMxbf5KGPPfX0ES7ALezMwMbm5uAIC1a9eiSpUqCAsLQ79+/eRjHB0d5WM+5O7ujps3bxbo3B4eHti3bx8MDQ1RsmTJfG3dcXJyyjWW91lbWyMoKAiTJ09G69atCxRfYbKwsECbNm3Qpk0bTJs2Dc2aNcO0adMKvIAPDQ3F5MmTFfp+nBiMCZNCCiHa/9hY28DAwEDp5qP4+HjY2+d9Q48uYR66Q5dziE9JR1Z2Dop/UG0vbm2CZx9U5d+Z2KUaNv9xF+t+uw0AuPYoCaZSQyz5ti5m74qCTAY8TUzDzX+SFI679U8y2tYuq5E88kuXr4U6mIfu0OUcLK1sIDYwQFKCYmxJifGwsStYbHduXUdSYgJ+6N9V3peTnY2rl//G/3ZtxZ5j57V+H9vHCGWvuqYIdgvN+8RiMcaPH48JEyYgLU31P1Yf6tatG6Kjo7F3716l12QyGZKTk3M91tjYGG5ubnB2dlZr331+DR06FGKxGIsWLSr0uT+FSCRChQoVkJqaWuA5goKCkJycrNBGjw0qxCjfMjI2hqeXN86dPSPvy8nJwblzZ1C5SrVCP5+mMA/docs5ZGbn4NK9eDSqWELeJxIBjSqWwPnoFyqPMZEYIOeDbyJzct7+LPr3QWpnbz2He0nF+4HcSlri4YuC/zegMOjytVAH89AdupyDkZER3Nw9EXnxvLwvJycHkRfPo4J35QLNWaVGbSxbtwNL1m6Vt/IVvNDIryWWrN2q84t34O1/4zTVhECwFfgPderUCaNHj8ayZcswatQoAG+fo/706VOFcRYWFjAzM0Pnzp2xe/dudO3aFRMmTEDTpk1RrFgxXLlyBQsWLMDQoUMVHjn5qeLj45Visba2lj8V531SqRSTJ0/GkCFDCu3876SlpcmfUf+OhYUFXF0V97RGRkYiODgYPXv2hJeXF4yNjfH7779j7dq1GDt2bIHPL5Eob5d5o6Ht/j1798HE8WPh7V0RFStVxob165CWloZ27b/RzAk1hHnoDl3OYen+a1g1pAH+vheHi3fiMKSlF0wlhthw4m2FffWQ+niS8Boh/26HOXjxH3zfygtR9xPw1+0XKOdogQldquHgxUfyhf3SX67h2NRWGNW+EnadjkF1N3v0+codQ1efyTWOz0WXr4U6mIfu0OUc2nfpifkzJqJ8BS+4e1bE3u0b8SYtDX4t3z6IY960CbCzL46A797uZ8/MzMTDmLfb3LIysxD/4jnu3r4JExNTlCxdBqamZnAup7grQCo1gaWVlVI/6Sa9WcAbGhri+++/x+zZszFo0CAAQJ8+fZTGhYaGYty4cRCJRNi0aRNWr16NtWvXYvr06TA0NET58uXRq1cvNGvWrFDj+3AvPgBs3rwZ/v7+Ksf37t0b8+bNw/Xr1ws1jujoaFSrplhN+Oqrr3D06FGFvtKlS8PZ2RmTJ0+W/zKqdz+PGDGiUGPSlOYtWiIxIQHLly5GXNwLeFTwxPJVa2AnkK9032EeukOXc9h5Jgb2llJM6FwNDtYmiIpJQPsZR/A8+e0vuHOyN0fOewX3WTsvQyaTYaJ/NZS0NUVcyhscvPgIkzf/98SNv+/Go+vc3zC5W3WM61AVD56/xNh157HtlPZvZtfla6EO5qE7dDmHL79qhuSkRGwIW4HEhDiUc/PAlLnLYfPvja0vnsUqbClJiHuOH/r+t77YteVn7NryMypVrY6ZS8I+e/yaUNS30Ihkn3I3J1Eh0FQFnkjI7LtFaDuEQhG3KUDbIRDpnH8S8rfdV9e5FVf9lKvPodcmzf2W3J+7FWxr0uekNxV4IiIiIioahPK4R03Ri5tY6a0PnzP/fjt58qS2wyMiIiKiQsAKvB758ObU95UqVerzBUJERESkQUV9DzwX8HokP8+ZJyIiIiJh4wKeiIiIiASlaNffC7gH/uTJk+jRowd8fHzw+PFjAMD69etx6tSpQg2OiIiIiOhDYpFIY00I1F7A79y5E82aNYOJiQkuXbqE9PR0AEBycjJmzJhR6AESEREREdF/1F7AT5s2DStXrsRPP/0EIyMjeX+9evXw999/F2pwREREREQfEok014RA7QX8rVu38OWXXyr1W1lZISkpqTBiIiIiIiKiXKi9gHd0dMSdO3eU+k+dOoVy5coVSlBERERERLkRiUQaa0Kg9gJ+wIABGDZsGM6dOweRSIQnT55g48aNGDVqFAYNGqSJGImIiIiI6F9qP0Zy3LhxyMnJwVdffYXXr1/jyy+/hEQiwahRozB06FBNxEhEREREJCeQQrnGqL2AF4lE+PHHHzF69GjcuXMHr169gpeXF8zNzTURHxERERERvafAv8jJ2NgYXl5ehRkLEREREdFHCeV57Zqi9gK+cePGeW7w/+233z4pICIiIiKivBTx9bv6C/iqVasq/JyZmYnIyEhcvXoVvXv3Lqy4iIiIiIhIBbUX8AsWLFDZHxISglevXn1yQEREREREeRHK4x41Re3HSOamR48eWLt2bWFNR0REREREKhT4JtYPnTlzBlKptLCmoyLkZVqWtkOgf1mYFNp/ErTqcWKatkP4ZHGbArQdQqGoPP6QtkMoFFEzmms7BNIjpW1NtB2C4BVaBVqg1P7X+ptvvlH4WSaTITY2FhcuXMDEiRMLLTAiIiIiIlKm9gLeyspK4WexWAwPDw9MmTIFTZs2LbTAiIiIiIhUKep74NVawGdnZ6NPnz6oVKkSbGxsNBUTERERERHlQq0tRAYGBmjatCmSkpI0FA4RERERUd7EIs01IVD7HoCKFSvi3r17moiFiIiIiOijuIBX07Rp0zBq1Cjs378fsbGxSElJUWhERERERKQ5+d4DP2XKFIwcORItW7YEAHz99dcKNxDIZDKIRCJkZ2cXfpRERERERP/iTaz5NHnyZHz33Xc4fvy4JuMhIiIiIqI85HsBL5PJAAANGzbUWDBERERERB8jlL3qmqLWHvii/nUFEREREZG2qfUceHd3948u4hMSEj4pICIiIiKivBT1mrJaC/jJkycr/SZWIiIiIiL6fNRawPv7+6N48eKaioWIiIiI6KPERbwEn+8FPPe/ExEREZEuUPsXGemZfOf/7ik0RERERESkPfmuwOfk5GgyDiIiIiKifCnqG0OK+jcQOiMgIAAikQgikQhGRkZwcXHBmDFj8ObNG/mYd69/2LZs2QIAOHHihEK/g4MDOnTogHv37imc6/Tp02jZsiVsbGwglUpRqVIlzJ8/X+m36L4/l6WlJWrWrIm9e/cCABo1apRrPCKRCI0aNSq092bntk3o2MYPTepWw4De/rh+NSrP8b8d/RXdOrRGk7rV0KtLO5w59YfSmJj7dzF2xBA0a1gbvvVroH+vznj69AkAIPbJY9Sv4a2y/Xb01yKfx6fYsmkjWvg1Qc1qldDdvxOuROX9Hnwu/9u5BQEdW6Btk1oYPqAHbl2/kuvYB/fuYNqPIxHQsQVa1q+KPds2KI35Zfc2DO7dCR2a1kOHpvUQOLAX/jpzSpMpqE1Xr0V3nzL4bVxDXJnuh+3f10Flp9wfnLB+YC1Ez26u1Fb3+UI+ZqifGw6Nqo/Iab74K+QrRAyokeec2qCr10Jd+pCHPuQA6E8elDsu4HVI8+bNERsbi3v37mHBggVYtWoVgoODFcaEh4cjNjZWobVr105hzK1bt/DkyRNs374d165dQ5s2beSL8927d6Nhw4YoXbo0jh8/jps3b2LYsGGYNm0a/P39lbZKvTvfhQsXUK9ePXTs2BFXrlzBrl275Oc/f/48AODo0aPyvl27dhXKe3Ls8EEsXTAbfQYMRtiG7XBz90Dg0IFITIhXOf7K5UuY/ONotG77DdZu3IEGjZogaNRQ3LtzWz7m8T8PMbh/T5R1dsGSVRFYt2UXAvp9B4mxBABQ3MERew+dUGj9Bg6Biakp6tStX6Tz+BSHDh7A3NmhGDh4CLZs3w0PjwoYNLAf4uNVvwefy+/HfsVPS+ehW5+BWBK2GeXc3DExcDCSElU/Ejc9/Q1KlCyFPt8Ng42dvcox9sUc0Oe7H7A4bBMWrdmEKl/UxNSg4Xhw744mU8k3Xb0WLas4IqhNBSw9egftFp3GzdiXCOtXA7ZmxirHf//zJdSd8pu8tZx3ClnZOTgY9Uw+5v6LVEzZcwNt5v+JrivO4XFiGsL714CNmdHnSitPunot1KUPeehDDoD+5PExYpFIY00IuIDXIRKJBI6OjnByckK7du3g6+uLI0eOKIyxtraGo6OjQpNKpQpjihcvjhIlSuDLL7/EpEmTcP36ddy5cwepqakYMGAAvv76a6xevRpVq1aFs7Mz+vfvj3Xr1mHHjh3Ytm2byvO5u7tj6tSpyMrKwvHjx2Frays/f7FixQAAdnZ28j5bW9tCeU+2bFyHNu06otXX7eFSzg2jg4IhlUqxf5/qDwjbt2xAbZ/66NarL5xdXDFg0A9wr+CFnds2ycesXrYYPnW/xOBho+BewROlSpdB/YZNYGNrBwAwMDCAnX0xhfbH8WNo4tscpqZmRTqPT7F+XTi+6dgZ7dp3gKubGyYET4ZUKsWeXTs/eyzv271lPZq3+QZNW7VDGRdXfD96AiRSKQ7v36NyvLtnRfQbEoiGvs1hZKR6EVi7fkPU9GmAUk5lUbpMWfQeOBRSE1PczKOy/znp6rXo08AZ2849wq4Lj3H3eSom7bqGN5nZ6FizlMrxyWmZiHuVIW/1ytvhTWYODkU9lY/ZHxmL03fi8SghDXeevcKM/92EhYkRKpSw+Fxp5UlXr4W69CEPfcgB0J88KG9cwOuoq1ev4vTp0zA2Vl15yi8TExMAQEZGBg4fPoz4+HiMGjVKaVybNm3g7u6OzZs3q5wnKysLYWFhAPDJMeVXZmYGom9eR43aPvI+sViMGrXq4FrUZZXHXI2KRI1adRT6avvUw9UrkQDe3stx+s/f4VS2LAK/H4DWfg0woLc//jhxLNc4bt64htvRN9G67TdFOo9PkZmRgRvXr6GOT115n1gsRp06dRF1+dJnj0ceV2Ym7kTfQNUatRXiqlqjNm5eK5yvnLOzs/H70UN48yYNnt6VC2XOT6Gr18LIQATvUpY4fee/KqFMBpy+HY+qZa3zNUfHmqXxy+VYpGVmq3zdyECELrWdkJKWiZtPXhZG2J9EV6+FuvQhD33IAdCfPPJDJNJcEwIu4HXI/v37YW5uLt+X/vz5c4wePVphTNeuXWFubq7QHj58qHK+2NhYzJ07F6VKlYKHhweio6MBAJ6enirHV6hQQT7mw/NJJBKMGDECzs7O6Ny5cyFk+3HJSUnIzs6G7b8V5Xdsbe0QHx+n8piE+Dh5BfodG1s7JPz71WFiQjzSXr/Ghogw1PapjwVLV+PLxl/hx9HDcOniXyrn3L93J5xdyqFSlWpFOo9PkZiUiOzsbNjZKeZkZ2eHuDjV78HnkJKciJzsbKX32trWDgm5XJv8un/3Nr7x80HbJrWwdO40TJwxH2VcXD9pzsKgq9fCxswYhgZixL3MUOiPe5WOYhaSjx5f2ckKHiUssP38P0qvNfIshktTfXFlelP0aeCMPj/9hcTXmYUWe0Hp6rVQlz7koQ85APqTB32cWr/IiTSrcePGWLFiBVJTU7FgwQIYGhqiQ4cOCmMWLFgAX19fhb6SJUsq/Fy6dGnIZDK8fv0aVapUwc6dOxWq5uo8EvTd+e7du4cRI0Zg8eLFn7Q9Jj09Henp6Yp9GQaQSD7+D3RheJd7/YaN0aV7bwBAeQ9PXL0ciT07t6Ja9ZqKsb15g6OHDqB3/+8+S3z5pS956LPSZZyxNHwrUl+9wqkTRzFv+iTMXrJGJxbx+qhjzdK4GfsSUY+SlV47dycBbReeho2ZETrXcsLCHlXRaclZJKRmqJiJiIRALJBKuaawAq9DzMzM4ObmhipVqmDt2rU4d+6cfNvKO46OjnBzc1NohoaKn8NOnjyJqKgopKSkIDIyErVrv90e4O7uDgC4ceOGyvPfuHFDPubD8zVt2hTh4eHo0qULnj9/XuAcQ0NDYWVlpdAWzZulcqyVtTUMDAyQ8MGNngkJ8bDL5eZBWzt7pRtDExPiYftvNeLtnIZw/mARVdalHJ4/jVWa7/ixw3jzJg3NW32d7xz1NY9PYWNtAwMDA6WbqOLj42Fvr/o9+BwsrWwgNjBQeq+TEuJhm8u1yS8jIyOULF0G5St4oc93P6Ccqzv2bt/08QM1TFevRWJqBrKyc2BvobhFz95cghcv03M56i0TIwO0quKIHSqq7wCQlpmNh/GvcflhMn7ccRXZOTJ0qlW60GIvKF29FurShzz0IQdAf/LID97ESjpJLBZj/PjxmDBhAtLS0tQ61sXFBa6urrCwULxJq2nTprC1tcW8efOUjtm3bx9u376Nrl275jpvrVq1UL16dUyfPl2teN4XFBSE5ORkhTZs5FiVY42MjOFewQsXz5+V9+Xk5ODiX+fgXbmKymMqVq6KC3+dVej769wZVKxUVT6np3dFPHoQozDm0cMHcCih+E0GAOzfuwv1v2wMG5uCf+ugL3l8CiNjY3h6eePc2TPyvpycHJw7dwaVtbClRx6XkRHc3D1x+eJ5hbgiL55HhULer54jy0FmpvYrvrp6LTKzZbj2OAU+bv999S8SAT5udoh8kJTnsc0rO8LYUIx9l57k61xikQjGhtr/509Xr4W69CEPfcgB0J886OO0/18wylWnTp1gYGCAZcuWyfuSkpLw9OlThZaampqv+czMzLBq1Srs3bsX3377LaKiohATE4OwsDAEBASgY8eOH93fPnz4cKxatQqPHz8uUE4SiQSWlpYKLa/tM/7de+N/e3bg4P49iLl/F3NDpyAtLQ2t2rQHAEydFISVSxfIx3fy74Fzp//E5g0ReBBzD2GrluHm9avo0LmbfEzXnn1w7MhB7Nu9Hf88eoCdWzfi9MkTaN/JX+Hc/zx6gMuXLqB1O8VtTAWhL3l8ip69+2DXjm3Yt2c37t29i2lTQpCWloZ27T//TbXva+/fE4f+twtHD+7Dw5h7WDZ3OtLT0uDXqi0AYO7UCQhfuVg+PjMzE3dv38Td2zeRlZmF+BfPcff2TTz55797UcJXLsaVyIt4FvsY9+/efvvzpQto1LTlZ89PFV29FuEnY9C5Vmm0r14SrsXNMLm9N0yMDbDzwtv/3szuUgkjm7srHdepVikcvfYcSR/sazcxMkBg8/KoUsYKJa2l8C5liRmdKsLBUoKD7z2pRpt09VqoSx/y0IccAP3J42OK+k2s3AOvwwwNDfH9999j9uzZGDRoEACgT58+SuNCQ0Mxbty4fM3ZsWNHHD9+HNOnT0eDBg3w5s0blC9fHj/++COGDx8O0Uf+5DZv3hwuLi6YPn06li9frn5SavqqaQskJSZgzcqlSIiPg5t7Bcxbskq+veHZ01iI39sIV6lKNQRPn42fli/G6mULUdqpLELnLkE5t/LyMQ0b+2JUUDA2RPyEhXNDUaasM6bNWogqVasrnPuXfbtRrLgDatWpxzwKQfMWLZGYkIDlSxcjLu4FPCp4YvmqNbDT8te6Db9qhpSkRKxfswKJCXEo5+aBKfOWy29sffFM8dokxD3H0D7/fUjaufln7Nz8MypVrY5ZS99ueUtOTMC8aROQEB8HMzNzuLi6Y+r85fiipg90ga5eiwOXn8LWzBg/NC2PYhYS3HiSgn5hFxD/6u03FyWsTZDzwS08LsXMUMPFFgE/Kd+8nS2ToVwxM7TvWQ02ZsZIfJ2BK4+S0W3FOdx59upzpPRRunot1KUPeehDDoD+5EF5E8nUuaORSANevMzSdgj0LwsT/fhM/zhRvW1nuqiUjYm2QygUlccf0nYIhSJqRnNth0Ckc6Ra/Cdj+jHN/WK8H79y09jchYVbaIiIiIiIBEQ/ym1EREREVGSIIJDN6hrCCjwRERERkYCwAk9EREREglLUf5ETF/BEREREJChFfQHPLTRERERERALCCjwRERERCcrHfm+NvmMFnoiIiIhIQFiBJyIiIiJB4R54IiIiIiISDFbgiYiIiEhQivgWeFbgiYiIiIiEhBV4IiIiIhIUcREvwXMBT0RERESCwptYiYiIiIiowJYtWwZnZ2dIpVLUrl0b58+fz9dxW7ZsgUgkQrt27dQ6HxfwRERERCQoIpHmmrq2bt2KwMBABAcH4++//0aVKlXQrFkzPH/+PM/jYmJiMGrUKDRo0EDtc3IBT0RERERUQPPnz8eAAQPQp08feHl5YeXKlTA1NcXatWtzPSY7Oxvdu3fH5MmTUa5cObXPyQU8EREREQmKGCKNtfT0dKSkpCi09PR0lXFkZGTg4sWL8PX1/S82sRi+vr44c+ZMrvFPmTIFxYsXR79+/QqUP29iJa2zMOEfQypcl54kaTuET1bKxkTbIRSKqBnNtR0Ckc5pNPd3bYdQKM6Oa6jtEDQiNDQUkydPVugLDg5GSEiI0ti4uDhkZ2fDwcFBod/BwQE3b95UOf+pU6cQFhaGyMjIAsfIlRMRERERCYomnyIZFBSEwMBAhT6JRFIoc798+RI9e/bETz/9BHt7+wLPwwU8EREREdG/JBJJvhfs9vb2MDAwwLNnzxT6nz17BkdHR6Xxd+/eRUxMDNq0aSPvy8nJAQAYGhri1q1bcHV1/eh5uQeeiIiIiARFLNJcU4exsTGqV6+OY8eOyftycnJw7Ngx+Pj4KI2vUKECrly5gsjISHn7+uuv0bhxY0RGRsLJySlf52UFnoiIiIiogAIDA9G7d2/UqFEDtWrVwsKFC5Gamoo+ffoAAHr16oVSpUohNDQUUqkUFStWVDje2toaAJT688IFPBEREREJiliTm+DV1KVLF7x48QKTJk3C06dPUbVqVRw6dEh+Y+vDhw8hFhfuphcu4ImIiIhIUHRo/Q4A+P777/H999+rfO3EiRN5HhsREaH2+bgHnoiIiIhIQFiBJyIiIiJB0aUtNNrACjwRERERkYCwAk9EREREglLEC/CswBMRERERCQkr8EREREQkKEW9Al3U8yciIiIiEhRW4ImIiIhIUERFfBM8F/BEREREJChFe/nOLTRERERERILCCjwRERERCQp/kZMWBQQEQCQSQSQSwcjICC4uLhgzZgzevHkjH/Pu9Q/bli1b5GN++uknVKlSBebm5rC2tka1atUQGhoqfz0kJER+nKGhIZydnTFixAi8evVKIZ5169ahZs2aMDU1hYWFBRo2bIj9+/crjDlx4gREIhG8vb2RnZ2t8Jq1tTUiIiLkP1++fBlff/01ihcvDqlUCmdnZ3Tp0gXPnz8HAMTExOSa39mzZz/6/kVERKg8ds2aNfIxaWlpCA4Ohru7OyQSCezt7dGpUydcu3ZNYa733yMDAwM4OTnh22+/RUJCgsI4Z2dnpff/HW9vb4hEIoX3QNu2bNqIFn5NULNaJXT374QrUVHaDqlAmIdmnT20G3OGdEFwdz+sGD8Ij+7cyHXstXN/YNm4bzE1oBVCejbHktH9cOmPwwpjjm0Lx4LhPRHSszmm9mmNtVMD8ej2dU2noRZdvRbq0IccAOahS3Q5hw5flMTuQbXx+6gGCOtVDV4lLPIcby4xwCg/N+z/vg7+GNUA276tCZ9ytvLXdw+qjbPjGiq1UX5umk6FCoHWt9A0b94csbGxuHfvHhYsWIBVq1YhODhYYUx4eDhiY2MVWrt27QAAa9euxfDhw/HDDz8gMjISf/75J8aMGaO0OPf29kZsbCxiYmIwa9YsrF69GiNHjpS/PmrUKAwcOBBdunRBVFQUzp8/j/r166Nt27ZYunSpUtz37t3Dzz//nGteL168wFdffQVbW1v8+uuvuHHjBsLDw1GyZEmkpqYqjD169KhSftWrV8/X+2dpaal0bPfu3QEA6enp8PX1xdq1azFt2jRER0fjwIEDyMrKQu3atZU+JLx7jx4+fIjw8HAcOnQIgwYNUjqnk5MTwsPDFfrOnj2Lp0+fwszMLF9xfw6HDh7A3NmhGDh4CLZs3w0PjwoYNLAf4uPjtR2aWpiHZkWd/g0Hfl6OJh0DMGTWT3As64qI6aPxKjlR5XgTcws0+qYnBk5bjqFzwlC9cQvsWj4TtyPPy8fYl3RCm77D8MPctfh2yhJYF3NE+LTRSE1J+kxZ5U1Xr4U69CEHgHnoEl3OwbdCMQxr4oo1p2LQO/wibj9/hYVdKsHG1EjleEOxCIv9K6OElRTjd19Hl5/OI/RgNF68SpeP6RPxN1ouOS1vQzdfBgD8duvFZ8npU4k02IRA6wt4iUQCR0dHODk5oV27dvD19cWRI0cUxlhbW8PR0VGhSaVSAMC+ffvQuXNn9OvXD25ubvD29kbXrl0xffp0hTkMDQ3h6OiI0qVLo0uXLujevTv27dsH4O3ic968eZgzZw5GjRoFNzc3eHp6Yvr06Rg+fDgCAwPx6NEjhfmGDh2K4OBgpKenQ5U///wTycnJWLNmDapVqwYXFxc0btwYCxYsgIuLi8JYOzs7pfyMjFT/pfyQSCRSOtbExAQAsHDhQpw5cwb79+9H586dUbZsWdSqVQs7d+6Ep6cn+vXrB5lMpvQelSpVCr6+vujUqZPStQCA7t274/fff1d4T9auXYvu3bvD0FB3dmWtXxeObzp2Rrv2HeDq5oYJwZMhlUqxZ9dObYemFuahWX/u344aX7VC9cYtULy0M9oOCISRsRQXjx9QOb6cdzV412qA4qXLws6xFOq27AiHsq6IuXlFPqZKfV+4Va4BW4eScHByQcteQ5CeloqnD+5+rrTypKvXQh36kAPAPHSJLufQtVZp7L0ci1+uPENM/GvMOnQbbzJz0Lqyo8rxbSo7wlJqhDG7riHqcQpik9Nx6VEy7jz/r4CYlJaJhNT/Wj03OzxKTMPfD5M/V1r0CbS+gH/f1atXcfr0aRgbG+f7GEdHR5w9exYPHjxQ61wmJibIyMgAAGzevBnm5uYYOHCg0riRI0ciMzMTO3cq/gUePnw4srKysGTJklzjysrKwu7duxUWyZ/Tpk2b4OfnhypVqij0i8VijBgxAtevX8fly5dVHhsTE4Nff/1V5bVwcHBAs2bNsG7dOgDA69evsXXrVvTt27fwkyigzIwM3Lh+DXV86sr7xGIx6tSpi6jLl7QYmXqYh2ZlZWXiyb1bcKv03zdeYrEYbpWq42H0x7e8yGQy3L1yEXFPHsHFq4rKMVlZmfjr6P8gNTWDY1nXQou9oHT1WqhDH3IAmIcu0eUcDMUieDha4K+Y/74VlAH4KyYRlUpZqjymQXk7XH2cgtFN3XBgqA829quB3j5lIM6lvGwoFqG5twP2Rz3VQAaaIRJprgmB1hfw+/fvh7m5OaRSKSpVqoTnz59j9OjRCmO6du0Kc3Nzhfbw4UMAQHBwMKytreHs7AwPDw8EBARg27ZtyMnJyfWcFy9exKZNm9CkSRMAQHR0NFxdXVUuVkuWLAlLS0tER0cr9JuamiI4OBihoaFITlb+tFqnTh2MHz8e3bp1g729PVq0aIE5c+bg2bNnSmPr1q2rlF9+JScnKxzn6Pjfp/Ho6Gh4enqqPO5d//t5XblyBebm5jAxMYGLiwuuXbuGsWPHqjy+b9++iIiIgEwmw44dO+Dq6oqqVat+NN709HSkpKQotNy+xfgUiUmJyM7Ohp2dnUK/nZ0d4uLiCv18msI8NOt1SjJycnJgbm2r0G9ubYNXSQm5HAW8ef0Kk3s2x6Ruvvh55ji07vMD3CrXUBhz8+JpTO7ZHCHdm+LPX3agz4R5MLO01kQaatHVa6EOfcgBYB66RJdzsDY1gqFYhITUTIX+xNRM2JmpLniWtDZB4wrFIBaJMGLbFYT/+QDdapVGn7plVY5v6G4Pc6khfrkinAV8Uaf1BXzjxo0RGRmJc+fOoXfv3ujTpw86dOigMGbBggWIjIxUaCVLlgQAlChRAmfOnMGVK1cwbNgwZGVloXfv3mjevLnCIv79xWmtWrXg4+OjsLe9IFXyfv36wc7ODrNmzVL5+vTp0/H06VOsXLkS3t7eWLlyJSpUqIArV64ojNu6datSfvllYWGhcNzp06cVXlcnLw8PD0RGRuKvv/7C2LFj0axZMwwdOlTl2FatWuHVq1f4448/sHbt2nxX30NDQ2FlZaXQ5swK/fiBRDrEWGqK7+eswaDQlfDz74+DPy/DvWuKVbpy3tXw/Zw1+HbqUrhXrYUtC0Jy3VdPRFSYxCIgMTUDMw9F49azVzh68wUiTj9E+2olVI5vU9kRZ+8lIO5VxmeOtOByewhIYTQh0PoC3szMDG5ubqhSpQrWrl2Lc+fOISwsTGGMo6Mj3NzcFNqHe60rVqyIwYMHY8OGDThy5AiOHDmC33//Xf76u8XpjRs3kJaWhn379sHBwQEA4O7ujnv37sm31LzvyZMnSElJgbu7u9JrhoaGmD59OhYtWoQnT56ozM/Ozg6dOnXC3LlzcePGDZQsWRJz585VGOPk5KSUX36JxWKF48qVKyd/zd3dHTduqH6axrv+9/MyNjaGm5sbKlasiJkzZ8LAwACTJ09WebyhoSF69uyJ4OBgnDt3Tn7j7McEBQUhOTlZoY0eG5TfdPPNxtoGBgYGSjcfxcfHw97evtDPpynMQ7NMLa0gFouVqu2vkhKVqvLvE4vFsHMsjZLO5VG/TRd412mI3/dsUhhjLDWBnWNplHH3xjeDxkBsYICLv6neV/856eq1UIc+5AAwD12iyzkkvc5EVo4MtmaK98bZmBkhPlX1gjvuVQYeJaYh570aXkz8a9ibS2D4wT4aR0sJajrbYO/l2EKPXZPEGmxCoFNxisVijB8/HhMmTEBaWlqB5/Hy8gIAhae9vFucOjs7K22V8ff3x6tXr7Bq1SqluebOnQsjIyOlbwXe6dSpE7y9vXNd6L7P2NgYrq6uSk+h0RR/f38cPXpUaZ97Tk4OFixYAC8vL6X98e+bMGEC5s6dm+uHk759++L3339H27ZtYWNjk6+YJBIJLC0tFZpEIsl/UvlkZGwMTy9vnDt7Rt6Xk5ODc+fOoHKVaoV+Pk1hHpplaGiEkuU8cPfq3wpx3b16EWXcvfI9jyxHhuzMvCtXMpkMWR8Z8zno6rVQhz7kADAPXaLLOWTlyHDr6UvUdP7v31kRgJplbXDlcYrKY6L+SUFpGxOFJ6o42Zrgxct0ZOUofjPfurIjEl9n4PQd7T9th/JPdx4Z8q9OnTph9OjRWLZsGUaNGgUASEpKwtOnivuyLCwsYGZmhkGDBqFkyZJo0qQJSpcujdjYWEybNg3FihWDj49Pvs7p4+ODYcOGYfTo0cjIyEC7du2QmZmJDRs2YNGiRVi4cCGcnJxyPX7mzJlo1qyZQt/+/fuxZcsW+Pv7w93dHTKZDP/73/9w4MABpUcwxsfHK+VnbW0tf9JOQY0YMQJ79+5FmzZtMG/ePNSuXRvPnj3DjBkzcOPGDRw9ejTPr4p8fHxQuXJlzJgxQ+WjND09PREXFwdTU9NPilNTevbug4njx8LbuyIqVqqMDevXIS0tDe3af6Pt0NTCPDSrXutO2LksFKXKeaC0mydOH9iBjPQ3qN6oBQBg+9IZsLS1R7Nu3wIAft+9EaVcPWDrUBJZmZmIvnQWkScP4+v+IwAAGW/ScGLXBlSoURcWNnZ4/TIZZw/tQUrCC1T0aaStNBXo6rVQhz7kADAPXaLLOWw+/w8mtq6AG7EvcT32JbrUKAWpsRi//HvT6aTWHnjxMgMrfr8PANh16Qk6VS+JQD83bLvwGE62JgjwKYNtFx4rzCsC0KqSIw5ceYZs7Txvo8CEstVFU3RuAW9oaIjvv/8es2fPlj+DvE+fPkrjQkNDMW7cOPlzzlesWCH/qsvHxwfHjh1TuhklLwsXLkTlypWxfPlyTJgwAQYGBvjiiy+wZ88etGnTJs9jmzRpgiZNmuDw4f9+mYuXlxdMTU0xcuRIPHr0CBKJBOXLl8eaNWvQs2dPheN9fX2V5ty8eTP8/f3zHb8qUqkUv/32G2bMmIHx48fjwYMHsLCwQOPGjXH27FlUrFjxo3OMGDECAQEBGDt2rMoPMeq8x59b8xYtkZiQgOVLFyMu7gU8Knhi+ao1sBPIV7rvMA/Nqly3CVJTknBsWzheJiWghLMbAsbPlm+hSY57pvAPRUZ6GvatWYDk+BcwMpagWKky6DT0R1Su+/ameJFYjBdPHuLveb/i9ctkmFpYopRrBQyYvAQOTi4qY/jcdPVaqEMfcgCYhy7R5RyO3nwBa1MjDGjgDDszY9x+/gojtl5Bwuu3N7Y6Wkrx/i1vz1+mY9jWKxj+lSs29KuBFy/TsfXCY6w/+1Bh3prONihhJcX/BPT0GXpLJNPWMw6J/vUmS9sRkL7Zf01YezlVae2t+mYzIhK+RnN///ggATg7rqHWzr09UvX23sLQqWpJjc1dWHRqDzwREREREeWNC3gd5u3trfR8+Hdt48aN2g6PiIiISCuK+mMkdW4PPP3nwIEDyMzMVPnau0dgEhEREVHRwgW8DitbVvVvTCMiIiIqyor6FhIu4ImIiIhIUISy1UVTivoHGCIiIiIiQWEFnoiIiIgEpWjX31mBJyIiIiISFFbgiYiIiEhQivgWeFbgiYiIiIiEhBV4IiIiIhIUcRHfBc8KPBERERGRgLACT0RERESCUtT3wHMBT0RERESCIuIWGiIiIiIiEgpW4ImIiIhIUIr6FhpW4ImIiIiIBIQVeCLSO629S2g7BCKiXF3eul3bIRSOcQ21dmo+RpKIiIiIiASDFXgiIiIiEhTugSciIiIiIsFgBZ6IiIiIBKWoV+C5gCciIiIiQeEvciIiIiIiIsFgBZ6IiIiIBEVctAvwrMATEREREQkJK/BEREREJCjcA09ERERERILBCjwRERERCUpRf4wkK/BERERERALCCjwRERERCUpR3wPPBTwRERERCQofI0lERERERILBCjwRERERCUpR30LDCjwRERERkYBwAa9DXrx4gUGDBqFMmTKQSCRwdHREs2bN8OeffwIARCIR9uzZo3RcQEAA2rVrJ/+5UaNGEIlEEIlEkEqlcHd3R2hoKGQyGTIyMmBvb4+ZM2eqjGHq1KlwcHBAZmYmIiIi5PO836RSKWQyGXx9fdGsWTOlOZYvXw5ra2v8888/hfK+fIotmzaihV8T1KxWCd39O+FKVJS2QyoQ5qE79CEHQD/y0IccAOahS4SeQ70vXLFj4UDcOzwdaZeWok2jytoOSWNEIs01IeACXod06NABly5dwrp16xAdHY19+/ahUaNGiI+PV3uuAQMGIDY2Frdu3UJQUBAmTZqElStXwtjYGD169EB4eLjSMTKZDBEREejVqxeMjIwAAJaWloiNjVVoDx48gEgkQnh4OM6dO4dVq1bJ57h//z7GjBmDJUuWoHTp0gV/MwrBoYMHMHd2KAYOHoIt23fDw6MCBg3sV6D3U5uYh+7QhxwA/chDH3IAmIcu0YcczEwkuBL9GMNDt2o7FNIwLuB1RFJSEk6ePIlZs2ahcePGKFu2LGrVqoWgoCB8/fXXas9namoKR0dHlC1bFn369EHlypVx5MgRAEC/fv0QHR2NU6dOKRzz+++/4969e+jXr5+8TyQSwdHRUaE5ODgAAJycnLBo0SKMGjUK9+/fh0wmQ79+/dC0aVP07NnzE96NwrF+XTi+6dgZ7dp3gKubGyYET4ZUKsWeXTu1HZpamIfu0IccAP3IQx9yAJiHLtGHHA7/eR2Tl+/HvuPC+uagIEQabELABbyOMDc3h7m5Ofbs2YP09PRCm1cmk+HkyZO4efMmjI2NAQCVKlVCzZo1sXbtWoWx4eHhqFu3LipUqJDv+Xv37o2vvvoKffv2xdKlS3H16lWFiry2ZGZk4Mb1a6jjU1feJxaLUadOXURdvqTFyNTDPHSHPuQA6Ece+pADwDx0iT7kQEULF/A6wtDQEBEREVi3bh2sra1Rr149jB8/HlEF3H+3fPlymJubQyKR4Msvv0ROTg5++OEH+ev9+vXD9u3b8erVKwDAy5cvsWPHDvTt21dhnuTkZPmHi3etRYsWCmNWr16Nq1evYvjw4Vi9ejWKFSuWa1zp6elISUlRaIX5geWdxKREZGdnw87OTqHfzs4OcXFxhX4+TWEeukMfcgD0Iw99yAFgHrpEH3IoasQikcaaEHABr0M6dOiAJ0+eYN++fWjevDlOnDiBL774AhEREWrP1b17d0RGRuLPP/9EixYt8OOPP6Ju3f8qC127dkV2dja2bdsGANi6dSvEYjG6dOmiMI+FhQUiIyMV2po1axTGFC9eHAMHDoSnp6fCzbSqhIaGwsrKSqHNmRWqdn5ERERUdBX1LTR8DryOkUql8PPzg5+fHyZOnIj+/fsjODgYAQEBsLCwQHJystIxSUlJsLKyUuizsrKCm5sbAGDbtm1wc3NDnTp14OvrC+DtzakdO3ZEeHg4+vbti/DwcHTu3Bnm5uYK84jFYvk8eTE0NISh4cf/OAUFBSEwMFChT2Yg+ehx6rKxtoGBgYHSzUfx8fGwt7cv9PNpCvPQHfqQA6AfeehDDgDz0CX6kAMVLazA6zgvLy+kpqYCADw8PHDx4kWF17Ozs3H58mW4u7vnOoe5uTmGDRuGUaNGQSaTyfv79euHU6dOYf/+/Th9+rTCzauaIpFIYGlpqdAkksJfwBsZG8PTyxvnzp6R9+Xk5ODcuTOoXKVaoZ9PU5iH7tCHHAD9yEMfcgCYhy7RhxyKnCJegmcFXkfEx8ejU6dO6Nu3LypXrgwLCwtcuHABs2fPRtu2bQEAgYGB6NevHypUqAA/Pz+kpqZiyZIlSExMRP/+/fOcf+DAgZg6dSp27tyJjh07AgC+/PJLuLm5oVevXqhQoYLCFpt3ZDIZnj59qtRfvHhxiMW6/fmvZ+8+mDh+LLy9K6JipcrYsH4d0tLS0K79N9oOTS3MQ3foQw6AfuShDzkAzEOX6EMOZibGcHX67z4051J2qOxeCokpr/HoaaIWI6PCxgW8jjA3N0ft2rWxYMEC3L17F5mZmXBycsKAAQMwfvx4AG/3rctkMsyfPx/jxo2Dqakpqlevjj/++EP+aMfc2NraolevXggJCcE333wDsVgMkUiEvn37Yvz48QgKClJ5XEpKCkqUKKHUHxsbC0dHx09PXIOat2iJxIQELF+6GHFxL+BRwRPLV62BncC+DmUeukMfcgD0Iw99yAFgHrpEH3L4wqssDq8ZJv959qgOAID1+87i2+AN2gpLI0RCKZVriEj2/p4KIi14k6XtCIiIiD4fm5rfazuEQpF2aanWzn3urvI9gYWltqvVxwdpGSvwRERERCQoAnnao8bo9iZmIiIiIiJSwAo8EREREQlKES/AcwFPRERERAJTxFfw3EJDRERERCQgrMATERERkaAU9cdIsgJPRERERCQgrMATERERkaDwMZJERERERCQYrMATERERkaAU8QI8K/BERERERELCCjwRERERCUsRL8GzAk9EREREJCBcwBMRERGRoIg0+L+CWLZsGZydnSGVSlG7dm2cP38+17E//fQTGjRoABsbG9jY2MDX1zfP8apwAU9EREREgiISaa6pa+vWrQgMDERwcDD+/vtvVKlSBc2aNcPz589Vjj9x4gS6du2K48eP48yZM3ByckLTpk3x+PHj/Ocvk8lk6odKVHjeZGk7AiIios/Hpub32g6hUKRdWqq1c0c+fKmxuauWsVBrfO3atVGzZk0sXfr2/cjJyYGTkxOGDh2KcePGffT47Oxs2NjYYOnSpejVq1e+zskKPBEREREJikiDTR0ZGRm4ePEifH195X1isRi+vr44c+ZMvuZ4/fo1MjMzYWtrm+/z8ik0RERERET/Sk9PR3p6ukKfRCKBRCJRGhsXF4fs7Gw4ODgo9Ds4OODmzZv5Ot/YsWNRsmRJhQ8BH8MFPGld2LkYbYdQKPrVdtZ2CPSvuJcZ2g7hk9lbGGs7BCKddOuJ5rZOfC67NwRrOwTh0+BjJENDQzF58mSFvuDgYISEhBT6uWbOnIktW7bgxIkTkEql+T6OC3giIiIion8FBQUhMDBQoU9V9R0A7O3tYWBggGfPnin0P3v2DI6OjnmeZ+7cuZg5cyaOHj2KypUrqxUj98ATERERkaBo8jGSEokElpaWCi23BbyxsTGqV6+OY8eOyftycnJw7Ngx+Pj45Br/7NmzMXXqVBw6dAg1atRQO39W4ImIiIiICigwMBC9e/dGjRo1UKtWLSxcuBCpqano06cPAKBXr14oVaoUQkNDAQCzZs3CpEmTsGnTJjg7O+Pp06cAAHNzc5ibm+frnFzAExEREZGgFOR57ZrSpUsXvHjxApMmTcLTp09RtWpVHDp0SH5j68OHDyEW/7fpZcWKFcjIyEDHjh0V5lFnnz2fA09at+zPGG2HUCh4E6vu4E2sRPpLH25ijX35RtshFIrm3sW0du6r/7zS2NwVS+evCq5N3ANPRERERCQg3EJDRERERMKiQ1totIEVeCIiIiIiAWEFnoiIiIgERVTES/CswBMRERERCQgr8EREREQkKLr0GEltYAWeiIiIiEhAWIEnIiIiIkEp4gV4LuCJiIiISGCK+AqeW2iIiIiIiASEFXgiIiIiEhQ+RlJHvHjxAoMGDUKZMmUgkUjg6OiIZs2a4ffff4ejoyNmzJihdEznzp1Rp04dZGdnIyQkBCKRCN99953CmMjISIhEIsTExCj0r1u3DjVr1oSpqSksLCzQsGFD7N+/X2HMiRMnIBKJ5M3BwQEdOnTAvXv3lF5T1U6cOIGIiAhYW1srzJuRkYHZs2ejSpUqMDU1hb29PerVq4fw8HBkZmbm+T597JwhISHysRUqVIBEIsHTp0+V5mnUqJFSbp06dcKDBw/kY2JiYiASiRAZGakyloiICJUxSKXSPHPQhMvH9iF8dC8s+7Y1tk79AU/v3czXcdHnTmBx32bYvyREswF+oi2bNqKFXxPUrFYJ3f074UpUlLZDKhAh5bFnx2Z0a9cMzb+sjiF9u+HmtSu5jo25dwch40agW7tm+KpOJezcsv4zRlowQroWudGHHADmoQ2H9m7DkB5t0L1lXYwf2ht3bl7NdezRA7sxaUR/9GnfGH3aN8bUMYPzHP+5nDy4E5MHdsTILk0wf+wAPLh9Pdexl8/+jrmj+2Fcj+YY3dUXswMD8NeJQ58xWipsOrOA79ChAy5duoR169YhOjoa+/btQ6NGjZCcnIzVq1dj8uTJuHLlv39At2/fjv3792PdunUwMDAAAEilUoSFheH27dt5nmvUqFEYOHAgunTpgqioKJw/fx7169dH27ZtsXTpUqXxt27dwpMnT7B9+3Zcu3YNbdq0gY+PD2JjY+Wtc+fOaN68uUJf3bp1lebKyMhAs2bNMHPmTHz77bc4ffo0zp8/jyFDhmDJkiW4du1anrG/P//ChQthaWmp0Ddq1CgAwKlTp5CWloaOHTti3bp1KucaMGAAYmNj8eTJE+zduxePHj1Cjx498jz/hz48f2xsrMKHgM8h+vwJnNy6GrW/7g7/4GWwdyqHvfN/xOuUpDyPS4l7ipPbfkJJ94qfJ9ACOnTwAObODsXAwUOwZftueHhUwKCB/RAfH6/t0NQipDyOHzmElYvmoFf/77By3Ta4lnfH2OEDkZigOtY3b96gRKnS6D9kOGzt7D9ztOoT0rXIjT7kADAPbTh94jB+XrUAHXsMwKwVG1C2nDumBw1FcmKCyvHXL19EvcbNEDxnJaYtCoddMQdMG/c9EuKef+bI//P3qWPYHb4UzTr3wei5YSjp7IYVUwLxMilR5XhTcwv4deiF4TNXYuyCdajVpCU2LQ3FjUvnPnPkhUck0lwTAp1YwCclJeHkyZOYNWsWGjdujLJly6JWrVoICgrC119/ja+//hrdunVD7969kZmZiRcvXmDIkCGYOXMmPDw85PN4eHigcePG+PHHH3M919mzZzFv3jzMmTMHo0aNgpubGzw9PTF9+nQMHz4cgYGBePTokcIxxYsXR4kSJfDll19i0qRJuH79OmJiYuDo6ChvJiYm8m8O3jVjY2Ol8y9cuBB//PEHjh07hiFDhqBq1aooV64cunXrhnPnzqF8+fJ5vlfvz29lZQWRSKTQZ25uDgAICwtDt27d0LNnT6xdu1blXKampnB0dESJEiVQp04dfP/99/j777/zPP+HPjy/o6MjHBwc1JrjU136dRcqftkcXg2awa5UWTTp9QMMjSW4fvLXXI/JycnGr6tnoU7bnrAqVuIzRqu+9evC8U3HzmjXvgNc3dwwIXgypFIp9uzaqe3Q1CKkPHZs/hkt23ZA89bt4eziiuFjJ0EiNcGh/btVjq/gVREDh45EE78WMDJS/nuva4R0LXKjDzkAzEMb9u/ciK9atEPj5l+jdNlyGDAsCMYSKY7/uk/l+B+CpqHZ153g7OaBUmWc8V3gBMhkMly5dP4zR/6fE//bgrp+bVDnq1ZwdHJB54GjYSyR4uxv+1WOL1/xC1Sp0xCOpZ1h71gKjVp3Rsmyrrh3Q3e/JaG86cQC3tzcHObm5tizZw/S09NVjlm0aBHi4+MxdepUDB48GBUrVsTQoUOVxs2cORM7d+7EhQsXVM6zefNmmJubY+DAgUqvjRw5EpmZmdi5M/f/4JiYmAB4W0kviI0bN8LX1xfVqlVTes3IyAhmZmYFmvd9L1++xPbt29GjRw/4+fkhOTkZJ0+ezPOYhIQEbNu2DbVr1/7k839O2VmZeP7gNpy8vpD3icRiOHlVQ+zd3L9OPL9vI0wsrOH9ZfPPEWaBZWZk4Mb1a6jj89+3OWKxGHXq1EXU5UtajEw9QsojMzMT0beu44uadeR9YrEYX9Ssg+tXLmsxssIhpGuRG33IAWAe2pCVmYl70TdR6Yv//q0Ti8Wo9EUtRF/P32I2Pf0NsrKyYG5hpakw85SVmYlHd6PhXrmGvE8sFsO9cg3E3Mr7W3wAkMlkuBV1Ac+fPISrV1UNRqpZIg02IdCJBbyhoSEiIiKwbt06WFtbo169ehg/fjyi3ts/Z2lpifDwcMyYMQOHDx9GeHg4RCq+5/jiiy/QuXNnjB07VuW5oqOj4erqqrI6XrJkSVhaWiI6OlrlsbGxsZg7dy5KlSqlUPlXx+3bt1GhQoUCHZtfW7ZsQfny5eHt7Q0DAwP4+/sjLCxMadzy5cthbm4OMzMz2NnZ4datW7lW63OTnJws/wD2rrVo0aKwUvmotJcpkOXkwNTSWqHf1NIGr5NVf5X4JPoqrp38FV8FDNd8gJ8oMSkR2dnZsLOzU+i3s7NDXFyclqJSn5DySE5KRE52NmxsFWO1sbFDgg5uB1CXkK5FbvQhB4B5aENKchJycrJhbWOr0G9tY4ukxPz9/d64Zgls7exR6Ytamgjxo1JfJiMnJxsW1oo5WFjb4mVS7jmkpb7C6G5+COzcCKunj0GH/sNRoWpNTYdLGqIzT6Hp0KEDWrVqhZMnT+Ls2bM4ePAgZs+ejTVr1iAgIAAA0KRJE9SpUwdVq1ZF2bJlc51r2rRp8PT0xOHDh1G8eHGl12UymVqxlS5dGjKZDK9fv0aVKlWwc+dOlR8A8kPdcxfE2rVrFfay9+jRAw0bNsSSJUtgYWEh7+/evbt8u9GzZ88wY8YMNG3aFBcvXlQYlxcLCwulbTfvvqVQJT09XelblsyMdBgZS/J1vk+VkfYah9fMxle9h8NES9UTIiISpj1bIvDnicMImbsKxp/p363CIjExxZh54Uh/k4boqAvYE74Udg4lUb7iFx8/WBcJpVSuITpRgX9HKpXCz88PEydOxOnTpxEQEIDg4GCFMYaGhjA0zPtzh6urKwYMGIBx48YpLZjd3d1x7949lVtgnjx5gpSUFLi7uyv0nzx5ElFRUUhJSUFkZOQnbTNxd3fHzZv5e0JKQVy/fh1nz57FmDFj5O9VnTp18Pr1a2zZskVhrJWVFdzc3ODm5oZ69erJbwDeunVrvs8nFovlc7xrpUqVynV8aGgorKysFNrh9SsKnK+JhSVEYrHSDauvUxJhamWjND75RSxS4p7hf4snYUn/FljSvwVunD6Ke5FnsaR/CyQ9f1LgWDTBxtoGBgYGSjeCxcfHw95e92+WfEdIeVhZ20BsYKB0w2piYjxsP6gwCpGQrkVu9CEHgHlog6WVNcRiAyR9cMNqUmICrG3y/vu9b/t67NkSgQmhS1G2XN73q2mSmYUVxGIDvExSzOFlUgIsrHPPQSwWo1iJ0ijtUh5N2nZFFZ9GOLprg6bD1RiRBv8nBDq1gP+Ql5cXUlNTC3TspEmTEB0drbRo9ff3x6tXr7Bq1SqlY+bOnQsjIyN06NBBod/FxQWurq75rkrnpVu3bjh69CguXVLeF5iZmVngfN8JCwvDl19+icuXLyMyMlLeAgMDVW6jed+7p/mkpaV9Ugx5CQoKQnJyskJr2nNQgeczMDRC8bLl8ejGf++nLCcHj25EooSrl9J4mxJO6D5lFbqFrJC3clXroHSFKugWsgIWtsUKHIsmGBkbw9PLG+fOnpH35eTk4Ny5M6hcRfk+Cl0lpDyMjIzg7uGFS3/993SGnJwcXPrrLLwqVdFiZIVDSNciN/qQA8A8tMHQyAjl3Cvg6ns3oObk5ODqpb/g7lU51+P2bl2HnRvWYPyMJXD1UP635XMyNDKCk6s7oqMuyvtycnIQHXURzh7e+Z5HJstBVmbB7ucj7dOJLTTx8fHo1KkT+vbti8qVK8PCwgIXLlzA7Nmz0bZt2wLN6eDggMDAQMyZM0eh38fHB8OGDcPo0aORkZGBdu3aITMzExs2bMCiRYuwcOFCODk5FUZaKg0fPhy//PILvvrqK0ydOhX169eX5ztr1iyEhYWhatWqBZo7MzMT69evx5QpU1CxouKjEfv374/58+fj2rVr8PZ++xf89evX8mfEP3v2DFOnToVUKkXTpk0Vjr1165bSud7NIZPJVD5nvnjx4hCLlT8fSiQSSCSKXzsaGat+dFd+VWv2DY6smQsHZ3c4uHgg8shuZKW/gVf9t3kc/mk2zGzsUa9jXxgaGcOutLNiTKZvn9zzYb+u6Nm7DyaOHwtv74qoWKkyNqxfh7S0NLRr/422Q1OLkPLo2LUXZk39Ee6e3qjgVQk7t67HmzdpaNaqHQBg5uTxsC/2//buPK6m/P8D+Ove9rSIkCRlSYns+9izZJsmyk5kMPYIMQhZxr5lG+1mRBGTZZAtQ2gwFQkhY2uRpL3c7vn94ev+5mq7pe455973cx49HnPP+VSvj7rd9/2cz+dz6mLqzPkAPj/3/k18BgAQiT4h7V0qnj55BC0tbTRoaMpSL0rHp59FaRShDwD1gw1DR4zDnk2r0NiiBZo2t8bZE4dRkJ+H3gOHAQC8Nq5ELcO6GOsyG8DnaTPBgQcwd+la1DWqj4z0z/P6NbW0oamlzUofeg8bjd93r4NpU0uYNrNCxKlgFBbkoXPfIQCA33Z6Qr92HQwb//neOOHHD6FhE0sYGhlDJPqEh3dv4u+I83Ca5sZK/qrAl+0eqwsnCngdHR107twZ27dvx7Nnz/Dp0yc0bNgQP/74I5YtW1bpr+vm5oZ9+/YhPz9f6viOHTtgY2ODvXv3Yvny5VBRUUG7du1w8uRJDBs27Fu7UyYNDQ2Eh4dj+/btOHDgANzc3KCtrQ0rKyvMnTu3WOFdEWFhYXj//j1++OGHYuesrKxgZWUFHx8fbNu2DQBw8OBBHDx4EABgYGAAGxsbnD17ttgC3dGjRxf7el+22szMzET9+sW3YUxKSoKRkVGl+1IRFp16Iy/rI26dDETOxw+o07AxvnddJ5lCk5X+DoIS3kzwxSC7wfiQno69XruQlvYOzS2tsPeAN2pz7NJ0efjUjz79B+FjRjr8D+7Bh/dpaNLMEr9s3y/Z4z01OUlqEf37d6mYPtFR8jj4d38E/+6P1m07YNs+P7nnLw+ffhalUYQ+ANQPNnTrPQCZGR8QHLAfGR/ew6yJBZat3y2ZQpOWmgyB4P9fM8JPH4fo0ydsWyO9OcbICT/CaWLxHe3kod13/ZCdmYGzQd7IzEiHiXlTzFixFXr/W9j6IS1F6nWvsCAPIQe34uP7VKipa6Bug0aYMG8l2n3Xj5X85NsJGHmsqiSkDHtuvGA7QpVw6WzGdgTyP2lZ/L8sbKjL/f3kCWHD47dZbEf4ZklZ+eU34oFB1uxNO32WWn3TfZvULX0zDq7g77AkIYQQQgghSogTU2jI/3v58iVatCh9gczDhw9hasq9ObWEEEIIIXJDc+AJlxgbGyM6OrrM84QQQgghRHlRAc8xqqqqaNq0KdsxCCGEEEI4iy/7tVcXKuAJIYQQQgivKPs2krSIlRBCCCGEEB6hEXhCCCGEEMIrSj4ATyPwhBBCCCGE8AmNwBNCCCGEEH5R8iF4GoEnhBBCCCGER2gEnhBCCCGE8IqybyNJI/CEEEIIIYTwCI3AE0IIIYQQXlH2feCpgCeEEEIIIbyi5PU7TaEhhBBCCCGET2gEnhBCCCGE8IqyT6GhEXhCCCGEEEJ4hEbgCSGEEEIIzyj3EDwV8IR16XkitiMQBWOoq852BPI/ca8z2Y5QJaxN9NiOQP6nubEu2xG+WUJcNtsRCM9RAU8IIYQQQniF5sATQgghhBBCeING4AkhhBBCCK8o+QA8FfCEEEIIIYRfaAoNIYQQQgghhDdoBJ4QQgghhPCKQMkn0dAIPCGEEEIIITxCI/CEEEIIIYRflHsAnkbgCSGEEEII4RMagSeEEEIIIbyi5APwNAJPCCGEEEIIn9AIPCGEEEII4RVl3weeCnhCCCGEEMIrtI0kIYQQQgghhDdoBJ4QQgghhPCLcg/A0wg8IYQQQgghfML7An7YsGEYNGhQief++usvCAQCxMbGAgCmT58OFRUVhISEFGu7atUqCAQCCAQCqKiooGHDhpg2bRrS09Ol2pmZmWHHjh1SxyIjIzF48GAYGBhAU1MTrVq1wrZt21BUVCRp8+LFCwgEAkRHRxf73r1798b8+fMlj2NiYjB8+HDUrVsXmpqaMDMzw6hRo5Camlrmv8V/+1DaBwA4OzuXeO7Lv+Pbt29hYGCAXbt2SX3927dvQ01NDRcuXCj3+6xatarMrN/iccRpnFgxGYfn2ePPTa5Ie/FYps97cScCv80agqsHPEttczvIC7/NGoL4yyerKG3VOHL4d9j174uObVth3GhH3P/f7zTfKEI/FKEPAHf7cSEsGHMnDsekod2xYq4znj6KK7Xt5bMnsHrBj5g6oi+mjuiLdUtmSrUXiUQI8t6NJdNHY/LwHpg5xg57N3ngw/t38uiKzLj6s6goRegHl/tw69wJbJ41Ch7j+mPfsp/w6ml8qW3jbl/DHvdp8HQeglUTBmH3Ihf8c+2CVJtLwX7YPn8CVk0YBM/JQ+HruQCvEh5WdzeqjKAaP/iA9wW8i4sLwsPD8fr162Ln/Pz80KFDB9jY2CA3NxdHjhzB4sWL4evrW+LXsra2RlJSEl6+fAk/Pz+cO3cOP/30U5nf/8SJE+jVqxdMTExw5coVPHr0CPPmzcPatWsxevRoMAxTof68e/cO/fr1Q61atXD+/HnEx8fDz88PxsbGyMnJKfNz3dzckJSUJPkwMTHBmjVrpI59MWjQIKnjSUlJCAoKAgAYGxtj9+7dWLp0KRISEgAAeXl5mDRpEqZOnYoBAwZIfd6OHTugp6cndczNza1C/ZbVi7vXcDf0IGwGj8Vg910wMDHHZa8VyM/KKPPzst+n4N4JH9RtYl1qm5fRkUhLfAQt/dpVnPrbnPvzLLZs2oDpM2fhSMgJNG9uiZ+mu+D9+/dsR6sQReiHIvQB4G4/bl69gN9+3QGHcVOxbs8hmDZuhl9+noOPGekltn8Yexfd+gzA8k37sHq7L2rXqYdfls1GetrnwY7CgnwkPn2EH8a6YN2eQ3BduQlJr//FFo+F8uxWmbj6s6goRegHl/sQG3kZZwP3ou9IZ8zaeBBGjZrAf90iZH/8UGJ7LR1d9HaYgOlr92LOZh+072OH0L2/ICE6StLG0Lghhk2Zh7lbfDFtzW7UrGMEv7WLkJOZIadekW/B+wJ+6NChqFOnDvz9/aWOZ2dnIyQkBC4uLgCAkJAQtGjRAu7u7rh27RpevXpV7GupqqrCyMgIDRo0gK2tLRwdHREeHl7q987JycGPP/6I4cOH49dff0WbNm1gZmaGqVOnIiAgAMeOHUNwcHCF+nPjxg18/PgR3t7eaNu2LczNzdGnTx9s374d5ubmZX6ujo4OjIyMJB8qKirQ1dWVOvaFhoaG1HEjIyMYGBhIzo8fPx4DBw6Es7MzxGIxli5dik+fPmHz5s0AIPV5+vr6EAgEUsd0dHQq1G9ZxV86gabdBqFJ1/6oWd8UnUfPhoq6Jp7evFDq54jFRbjhvxk2Q8ZBx9CoxDa5GWm4E7If3Z0XQaiiUi3ZK+tQgB8cRjrB/ocRaNK0KZZ7rIampiZOhh5nO1qFKEI/FKEPAHf7cTb0MPoMskfvgcNh0qgxXOYuhYaGJiLOh5XYfrb7WvQf5gizJs3RwNQM01yXg2EYPPjnbwCAdg0dLPtlD7r06g/jhmZoZtUKzrMWITEhHmmpyfLsWqm4+rOoKEXoB5f7cON0CDr0G4L2fexQ18QM3/+4AGrqmrh75WyJ7Rtbt4V1px6oa9IItY0aoNvgkajXqAlePLovadP6O1s0temAWvWMUa+hOQZPnIWCvBwk//tMXt36JgJB9X3wAe8LeFVVVUycOBH+/v5So90hISEoKirCmDFjAAA+Pj4YP3489PX1YWdnV6zg/9qLFy9w/vx5qKurl9rmwoULeP/+fYmjzcOGDYOFhYVkVFtWRkZGEIlEOHHiRIVH76va/v37kZCQgHHjxsHLywt+fn7VVpjLokj0CemvnqK+ZRvJMYFQiPqWbZD2/FGpn3f/bBA0dWuiabeBJZ5nxGLcCNiKFrYjUNO4UVXH/iafCgsR/zAOXbp2kxwTCoXo0qUbYmP+YTFZxShCPxShDwB3+yH69AmJCY/Qsl0nqVwt23ZCwsP7ZXzm/ysoyIdIJIKOrl6pbXJzsiEQCKBdg72/ZV9w9WdRUYrQDy73QST6hLfPH6Npq/aSY0KhEE1btcfLJ+VPeWEYBs/u30Xa21cwb9G61O/x98VT0NSuAaNGTaosO6k+vC/gAWDKlCl49uwZIiIiJMf8/PwwYsQI6OvrIyEhAbdu3cKoUaMAfB5d9vPzK1Yg379/Hzo6OtDS0oK5uTni4uKwZMmSUr/vkydPAABWVlYlnre0tJS0kVWXLl2wbNkyjB07FoaGhrCzs8PmzZuRkpJSoa9TntOnT0NHR0fqY/369VJt6tatC09PTxw5cgTTpk1Dz549qzRDRRVkZ4IRi6GpW1PquKZuTeRllnwZMfVpHJ7dvIDOY+eU+nXjwo9BKFRB897DqzJulfiQ8QFFRUWoXVt6Wk/t2rWRlpbGUqqKU4R+KEIfAO72IyszA2JxEfRr1pI6rm9QCxkfZJvCEOSzGwa1DaXeBPxXYWEBgny80LX3AE4U8Fz9WVSUIvSDy33IzfwIsVgMna+eGzo1DZBdyvQyAMjPzcbqCYOwcqwtAn9xx9DJc9HUpoNUm0d3I7F6wiCsGjcAN84cw+TlW1FDr2Z1dKPKCarxPz5QiALe0tIS3bp1k8xtf/r0Kf766y/J9BlfX18MHDgQhoaGAIDBgwfj48ePuHz5stTXad68OaKjo/H3339jyZIlGDhwIObMKb3w+6KqR8rXrVuH5ORk7N+/H9bW1ti/fz8sLS1x/75so1Cy6NOnD6Kjo6U+ZsyYIdWmqKgI/v7+0NbWxq1btyASib75+xYUFCAzM1PqQ1RY8M1ftySf8nNxI3ArOo+dC00d/RLbvH+ZgEdX/kDXCa6SRb6EEP4JO+qPm1fDsWDlZqiraxQ7LxKJsGvdUgAMpsxxl39AQuRMXVMbszd746cN+9F/9FT8GbgHz+OkryY0tm6L2Zu9Mc3TCxZtOuHI9lWlzqsn3KIQBTzweTHr8ePHkZWVBT8/PzRp0gS9evVCUVERAgICcObMGaiqqkJVVRXa2tpIT08vtphVXV0dTZs2RcuWLfHLL79ARUUFq1evLvV7WlhYAADi40teCR4fHy9po6f3+ZLux48fi7XLyMiAvr50gVm7dm04Ojpiy5YtiI+Ph7GxMbZs2SL7P0g5atSogaZNm0p91Kol/e5+y5YteP78Oe7cuYPXr18XG6GvjA0bNkBfX1/q49qRAzJ9roaOHgRCYbEFq/lZGdDSMyjWPutdEnLep+Dq/tX4fc4w/D5nGJ5HXcbr+7fx+5xhyHqXhNSnccjP/ogTK5wlbXLSU3Ev1AcnVkz+5v5+K4OaBlBRUSm2iOr9+/eSN6R8oAj9UIQ+ANzth65eTQiFKsUWrH78kI6aBmUvLD8dcghhRwOwdMNumDZuVuz8l+I9LSUZSzd4cWL0HeDuz6KiFKEfXO6Dtp4+hEJhsdH27IwPxUbl/0soFKK2kQmMzZrhu2GjYN2lFyJOHpZqo66phdpGJjC1sIbDT4shVFHB3cslz6vnGpoDryCcnJwgFApx+PBhBAYGYsqUKRAIBDh79iyysrLwzz//SI02BwUFITQ0FBkZGaV+zeXLl2PLli14+/ZtiecHDBiAWrVqYevWrcXOhYWFISEhQTIHv1atWjA0NMTdu3el2mVmZuLp06eSQr8k6urqaNKkSbm70FSluLg4eHh4YN++fbCyssK+ffuwdu1ayZaclbV06VJ8/PhR6qPn6Okyfa6KqhpqNWyK5MfRkmOMWIzkx9EwbGxZrL2+UUMM/XkPhizdLfkwadUZRs1sMGTpbmgbGKJxp74YusxLqo2Wfm20sHVA39mlbzcpL2rq6rBqYY3bt25KjonFYty+fRM2rduymKxiFKEfitAHgLv9UFVTg3kzS8T9bwHql1xx0X+jWYtWpX7eqeBAnDjsgyXrdqGxRYti578U78lvXmLZL3ugy6HpAVz9WVSUIvSDy31QVVWDcePmePbgnuSYWCzGswd3YVrC73xpGDGDok+FZbdhGIjKaUO4QWHuxKqjo4NRo0Zh6dKlyMzMhLOzM4DPi1eHDBmC1q2lF260aNECrq6u+P333zFr1qwSv2bXrl1hY2OD9evXw8vLq9j5GjVq4MCBAxg9ejSmTZuG2bNnQ09PD5cuXcKiRYswcuRIODk5SdovWLAA69evR7169dClSxe8f/8enp6eqFOnDhwcHAB8npt+5MgRjB49GhYWFmAYBqdOncLZs2fh5+dXRf9an6eyJCdL78KgqqoKQ0NDiEQiTJo0CQ4ODpJcI0aMwIgRI+Ds7IyoqCioqlbuV0dDQwMaGtKXt1VLuNxdGqt+PyAycBtqmTaDoZkF4i//AVFBPpp06Q8AuBGwFdo1a6Pt985QUVNHTWMzqc9X16oBAJLjKjpq0NCRXvAmVFGBpp4B9OuZVLB31WPCpMlYsWwJrK1bomUrG/x2KAB5eXmw/8GB7WgVogj9UIQ+ANztx2CHsdi/ZTUaW1ihSXNr/HkiCPn5eeg1YBgAYO8mD9QyrIPRU2YDAMKOBuDYoQOYvWQt6tSrj4z0z3OVNbW0oamlDZFIhJ2eS5D49BEWrdkOsbhI0kZHVx+qamrsdPQ/uPqzqChF6AeX+9B9qCOO79mABo2bw6SpFSLPHkNhQT7a97YDAIR4rYdeLUMMHDsNABBx4nc0aNIcteoZQ/TpE578cwvRf13A8KmuAIDC/DxcDf0Nlh26QdegNnKzPuLWuZPITH+Hll17s9VNUgEKU8ADn6fR+Pj4YPDgwTA2NkZKSgrOnDmDw4cPF2srFArxww8/wMfHp9QCHgBcXV3h7OyMJUuWoGHDhsXOjxw5EleuXMG6devQo0cP5Ofno1mzZvj5558xf/58qXnVixcvho6ODjZu3Ihnz56hVq1a6N69O65cuQItLS0An99YaGtrY+HChXj16hU0NDTQrFkzeHt7Y8KECVXwr/TZuXPnUL9+faljzZs3x6NHj7B+/Xq8efMGFy5Ib824Z88eWFtbY/369Vi5cmWVZakIs/Y9UZD1EbGnf0Ne1gcYNGiMvrPWSKbQ5Hx4p3Bz2QfZDcaH9HTs9dqFtLR3aG5phb0HvFGbJ5emv1CEfihCHwDu9qNr7wHI/JiBY4EHkPHhPRo1toD7ul3Q/98UmvfvkiEU/v/z++KZ4xB9+oQda6U3G3AY/yNGTpiGD2mpuHvrGgBg6cxxUm2Wb9qPFq3bg21c/VlUlCL0g8t9sOnWFzmZGbgU7IesjHTUN2sK52WbJFNoPqalSL32FRbkIcx7Oz6+fwc1dQ3UaWAKxzk/w6ZbXwCfd3B79/Yl7m09j9ysj9DW1UODJpb4cfVu1GtY9pbVXKFgL/UVJmDY3quQKD3Pi0/ZjlAlFvVuynYEQjgn7nUm2xGqhLVJ6VtTElJRp+OSym/EAyNb1y+/UTXJyCsqv1El1dTi1v1gSqJQI/CEEEIIIUTx8WW7x+qiMItYlcWMGTOK7d/+5ePrbSAJIYQQQojioRF4nlmzZk2Jd34F/n+rSkIIIYQQRabsc+CpgOeZunXrom7dumzHIIQQQgghLKECnhBCCCGE8IqSD8BTAU8IIYQQQnhGySt4WsRKCCGEEEIIj9AIPCGEEEII4RXaRpIQQgghhBDCGzQCTwghhBBCeEXZt5GkEXhCCCGEEEJ4hEbgCSGEEEIIryj5ADyNwBNCCCGEEMInNAJPCCGEEEL4RcmH4GkEnhBCCCGE8IqgGv+rjD179sDMzAyampro3LkzoqKiymwfEhICS0tLaGpqolWrVjh79myFvh8V8IQQQgghhFTS0aNHsWDBAnh4eODevXto3bo1Bg4ciNTU1BLbR0ZGYsyYMXBxccE///wDe3t72Nvb48GDBzJ/TwHDMExVdYCQyvC8+JTtCFViUe+mbEcghHPiXmeyHaFKWJvosR2BKJDTcUlsR6gSI1vXZ+1754uq72trVnCCeefOndGxY0d4eXkBAMRiMRo2bIg5c+bA3d29WPtRo0YhJycHp0+flhzr0qUL2rRpg/3798v0PWkEnhBCCCGEkP8pKChAZmam1EdBQUGJbQsLC3H37l3Y2tpKjgmFQtja2uLmzZslfs7Nmzel2gPAwIEDS21fIoYQBZefn894eHgw+fn5bEepNEXoA8NQP7hEEfrAMIrRD0XoA8NQP7hEEfrAJg8PDwaA1IeHh0eJbd+8ecMAYCIjI6WOL1q0iOnUqVOJn6OmpsYcPnxY6tiePXuYunXrypyRptAQhZeZmQl9fX18/PgRenr8vAyuCH0AqB9cogh9ABSjH4rQB4D6wSWK0Ac2FRQUFBtx19DQgIaGRrG2b9++RYMGDRAZGYmuXbtKji9evBgRERG4fft2sc9RV1dHQEAAxowZIzm2d+9erF69GikpKTJlpG0kCSGEEEII+Z/SivWSGBoaQkVFpVjhnZKSAiMjoxI/x8jIqELtS0Jz4AkhhBBCCKkEdXV1tG/fHpcuXZIcE4vFuHTpktSI/H917dpVqj0AhIeHl9q+JDQCTwghhBBCSCUtWLAAkyZNQocOHdCpUyfs2LEDOTk5mDx5MgBg4sSJaNCgATZs2AAAmDdvHnr16oWtW7diyJAhOHLkCO7cuYNff/1V5u9JBTxReBoaGvDw8JD5chgXKUIfAOoHlyhCHwDF6Ici9AGgfnCJIvSBT0aNGoV3795h5cqVSE5ORps2bXDu3DnUq1cPAPDy5UsIhf8/6aVbt244fPgwli9fjmXLlqFZs2Y4efIkWrZsKfP3pEWshBBCCCGE8AjNgSeEEEIIIYRHqIAnhBBCCCGER6iAJ4QQQgghhEeogCeEEEIIIYRHqIAnhBBCSIW8ffuW7QiEKDUq4AnhoMDAwGK3cSbkW7x8+RK06RipKtbW1jh8+DDbMaodwzBITU1lO0ap1qxZg9zcXLZjEBbQNpJEoUyZMgU7d+6Erq4u21G+iYqKCpKSklC3bl22o1SrvLw8aGlpsR2jVGvWrJGp3cqVK6s5ybdThN+pvn37IjQ0FDVr1mQ7itLbu3cvlixZgkGDBuHAgQOoVasW25EqRVtbG//++y/q1KkDABgyZAi8vb1Rv359AJ9vb29sbIyioiI2Y5ZKEZ7XpHKogCcKRVH+mAmFQiQnJ/O+H6UpKCiAl5cXNm/ejOTkZLbjlKpt27alnhMIBHj8+DHy8/M5++L+X4rwO6UIfQA+X2GTxcSJE6s5ybdJTEyEi4sLHj58iIMHD2LYsGFsR6qwr3+ndHV1ERMTg8aNGwP4XMDXr18fYrGYzZilUpTnBKk4uhMrUSiK9H5UIBCwHeGbFBQUYNWqVQgPD4e6ujoWL14Me3t7+Pn54eeff4aKigpcXV3Zjlmmf/75p8Tj0dHRcHd3x4MHD/Djjz/KOVXl8f13SlE4OztDR0cHqqqqpf7NEggEnC/gzc3NcfnyZXh5ecHBwQFWVlZQVZUuK+7du8dSuqrD9ecN1/OR6kEFPFE4WVlZ0NTULLONnp6enNJUXr9+/Yq9GH6Nyy+OK1euxIEDB2Bra4vIyEg4Ojpi8uTJuHXrFrZt2wZHR0eoqKiwHbNCEhMTsWLFChw9ehQODg6Ii4tDs2bN2I4lsxUrVkBbW7vMNtu2bZNTmsp5+PBhuVdtbGxs5JSmcqysrJCSkoLx48djypQpnM9bln///RehoaEwMDDA999/X+7fLFL1LCwsyi3i09PT5ZSGyAs904jCsbCwKPUcwzAQCAS8mPIwcOBA6OjosB2j0kJCQhAYGIjhw4fjwYMHsLGxgUgkQkxMDO9GjNLS0rB69Wr8+uuv+O677xAZGYmOHTuyHavC7t+/D3V19VLP8+Hn0q9fvxJHrQUCAW+e33Fxcbh9+zZ8fX3Rs2dPNG3aFC4uLhg3bhwvBhe+OHjwIBYuXAhbW1vExcVJ5pHziUAgkPq9//oxH6xevRr6+vpsxyByRnPgiUIRCoU4fvx4uQuqevXqJadElaMI8xrV1dWRmJiIBg0aAAC0tLQQFRWFVq1asZxMdjk5OdiyZQu2bduGpk2bYsOGDRgwYADbsSpFEX6nhEIhoqKiyi0UGzVqJKdE3y4vLw8hISHw8/NDVFQU7O3t4evrCw0NDbajlWnQoEGIiorCjh07OD/VpyxCoRD6+vqSoj0jIwN6enoQCj9v0scwDDIzMzn7plARntekcmgEniic7t278/6PGd9GgEpSVFQkNdqrqqrKuysKTZo0QVZWFubMmYMxY8ZAIBAgNja2WDs+TIFQhN8pADA1NeX98/u/tLS0MHHiRJiZmcHDwwNHjhyBl5cX5wv4oqIixMbGwsTEhO0o38TPz4/tCN9EUZ7XpOJoBJ4oFEUZjZClH3fu3EGHDh3kmKpihEIh7OzsJIXIqVOn0LdvX9SoUUOqXWhoKBvxZPJlFA74/ykaXz/mw5QNQDGeG4rQh/968+YNAgIC4Ofnh5ycHMmceEtLS7ajfTOGYfDu3Tve/6xEIhFSU1NhbGzMdpQSKdpzgsiORuCJQmnUqBHvFkaWJDExEXXq1EF2djZUVFSk9kqPjo7GihUrcPbsWU4XjpMmTZJ6PH78eJaSVF5iYiLbEaqMn58f7+fJ9urVq8w5/ElJSVi3bh28vLzkmKrigoOD4efnh4iICAwcOBBbt27FkCFDePW3q7z9078UvVz+GyWLuLg4tGvXjrP9uHDhQpnFu1gsxvr167F8+XI5piLyQCPwRKGsXLkS7u7ukp02Pnz4AAMDA5ZTVdyrV6/g5OSEqKgoqKioYPbs2Vi7di1mzJiBo0eP4ocffoCrqys6d+7MdlTCE0+ePEFGRgY6deokOXbp0iWsXbsWOTk5sLe3x7Jly1hMKJu4uDhcuXIF6urqcHJyQs2aNZGWloZ169Zh//79aNy4MeLi4tiOWSahUAhTU1OMGzcO9erVK7Xd3Llz5ZiqYvi+f7qsYmJiOF3Aq6urY9q0adi0aVOxHaYePHiASZMmITk5GW/evGEpIakuVMAThfL1jZz09PQQHR0teVHhi9GjR+Px48dwcXFBaGgoIiIi0K5dO3Tu3Bnu7u68n3f6RWpqKi8u/f79998ICgrCkydPAHze6Wjs2LGcnsL0tR9++AGtWrWS3F02MTER1tbW6NGjBywtLeHr6wtPT0/Mnz+f3aBlCAsLw8iRIyESiQAAjRs3xsGDB+Hk5IT27dtj/vz5GDRoEMspy2dmZlbu3GWBQIDnz5/LKVHFyVLAK8IIPNcL+Nu3b8PZ2RkikQj+/v7o3r27ZNTd09MTI0aMwJ49e3g5kEXKwRCiQAQCAZOSkiJ5rKOjwzx79ozFRJVTv3595ubNmwzDMExKSgojEAiY7du3sxuqgrS0tJjU1FTJ48GDBzNv376VPE5OTmaEQiEb0Spk0aJFjEAgYHR1dZnWrVszrVu3ZnR0dBihUMgsXryY7XgyMzExYSIjIyWPPT09mdatW0see3t7Sz3moo4dOzLz589nsrKymO3btzMCgYBp2bIlExUVxXY0pVPe31q+PL/LEx0dzfl+5OXlMfPmzWPU1NSYWbNmMe3bt2fq1q3LHD9+nO1opBrRHHhCOCglJQXm5uYAgLp160JbWxt2dnYsp6qY/Px8qUWf165dQ15enlQbhuMXAAMCArB7927s2rUL06dPh5qaGgDg06dP2LdvH5YsWQJra2tebKOXlpYmdeXmypUrGDZsmORx7969sXDhQjaiyezx48c4fPgwdHR0MGfOHLi5uWH79u283JO/PG/evJFswcpFirB/OoASd5X6r8ePH8spSeVpampi+/btSE1Nxd69e1GjRg3cuXMHzZs3ZzsaqUZUwBOFIhAIJHdiZf63Q0h2djYyMzOl2vHhZin/3QFFKBSWuXiPr7j+gr9nzx6sX78es2fPljqupqaGuXPnQiQSwcvLixcFfK1atZCUlISGDRtCLBbjzp07WLBggeR8YWEh599QZWVlSZ67XxZ38216XHmSk5Oxbt06+Pj4IDc3l+04pWIYRuoOoNnZ2Wjbtq3U/ul80KZNm2I7TH3x352muOzZs2dwdnZGQkIC9u/fDz8/P/Tu3Rv79+/H999/z3Y8Uk2ogCcK5cuLyn8ft23bVuoxH7b9K+/F8Qu6PXb1iouLK/MF0N7eHitWrJBjosrr3bs3PD09sXfvXoSEhEAsFqN3796S8w8fPoSZmRlr+WR1/vx5yW46YrEYly5dwoMHD6TaDB8+nI1oMvvw4QNmzpyJ8PBwqKurw93dHbNnz8aqVauwZcsW2NjYcH5/cq7nkxXfd5ry8vKCu7s7Bg4ciNDQUNSpUwdTp07F5s2bMXr0aIwcORK7d+9GzZo12Y5KqhgtYiUKJSIiQqZ2XL8Ta0BAgEztvt6qkUtUVFSQnJws2WZOT08PMTExkqlBfFjkpqenh6ioqFL35X78+DE6duxY7AoPF7148QL9+/fHs2fPoKKigl27duGnn36SnLe3t4e5uTm2b9/OYsqyff0GtiR8eIM+ffp0nDt3Do6Ojjh//jwePnyIgQMHQigUYvny5ejSpQvbEctVVFTEq20vFVWtWrWwe/dujBs3rti5uLg4TJo0CUlJSbQLjQKiAp4onfT0dNSqVYvtGAqP77coBz6PWvfo0QOenp4lnl++fDmuX7+Oq1evyjdYJYlEIsTFxaFOnTrFbkwTExMDExMT1K5dm6V0ysPU1BT+/v7o27cvXrx4gcaNG8Pd3R3r169nO5rM6tevj0mTJsHFxQXNmjVjO06VysnJwdGjR5GXl4cBAwZwun9JSUmSvfdLUlRUhPXr1/PmSiGRHRXwRGlcuHAB3t7eOHXqVLHFlFyVl5eH8PBwyfaFzZs3h62trdSNnbhKEa4inD59Gvb29liwYAEWLlwo2bM7OTkZW7duxY4dO3DixAkMHTqU5aSET1RVVfHq1StJ4aWtrY07d+6gRYsWLCeTnaenJwICApCYmIhu3brBxcUFTk5OxfYi57qXL19iwoQJuHfvHrp06QIfHx/0798fCQkJAAAtLS38+eef6NmzJ8tJCZFGBTxRaP/++y98fX0REBCADx8+wM7ODiNGjICjoyPb0coVFhaGqVOnIi0tTeq4oaEhfHx8pHYQ4aJr166hW7duUFXl91Kb3bt3w83NDSKRSDL3+uPHj1BVVcWmTZswb948lhPK5r8LVsuybdu2ak7y7UJCQkrcl3/kyJEsJ5PN19PLdHV1ERsbK5lexidXr16Fn58fjh8/DhUVFTg5OWHq1Km8ucmck5MTXr16hdmzZyM4OBhPnjxBkyZN4OPjA6FQiJ9++gnp6em4fPky21FLNHjwYAQFBUn+Nv3yyy+YMWOGZM77+/fv0aNHDzx8+JDFlKQ6UAFPFE5hYSFCQ0Ph7e2NGzduwNbWFn/++Sf++ecftGrViu14MomMjETv3r0xfPhwLFy4EFZWVgA+LzTcunUrTp8+jYiICE7Plf36plp89vr1a4SEhEhG5SwsLDBixAg0bNiQ5WSy69Onj0ztrly5Us1JKk8sFmPMmDEICQmBhYWFZG1CfHw8nj59CkdHRwQFBXF+1xChUIiWLVtK3tzGxsbC0tKy2E5T9+7dYyNepWRnZ+PIkSPw9/dHZGQkrKys4OLiIvMbR7YYGRkhLCwMnTp1Qnp6OgwNDXHjxg107doVwOepZf369Ss2kMIV5d28kA9rjUjlUAFPFMqcOXMQFBSEZs2aYfz48Rg9ejRq164NNTU1xMTE8OYS9eDBg9GwYUMcOHCgxPPTp0/Hq1evcPbsWTknk93Xd2ok5Ftt374da9euRUBAQLFpS2FhYZg8eTJWrFjB6bvJAsDq1atlaufh4VHNSarHmTNnMHHiRGRkZHC+cBQKhUhKSpJMj9PR0UFsbCxvCmBluSMuKY7f17YJ+cqXm+u4u7tDV1eX7TiVduvWLWzcuLHU87NmzeL8TjoA9/d5L09YWJhM7bi+baEsnj9/jhkzZuDChQtsRymVn58fNm/eXOKag+HDh2PTpk3YuXMn5wt4vhbmZcnNzUVwcDD8/Pxw/fp1NGnSBIsWLWI7lky+viEVIXxABTxRKIcOHYKvry/q16+PIUOGYMKECby7gynwefFqWTeb0tfXR35+vhwTVY6zszM0NDTKbBMaGiqnNBVnb29fbhs+bFsoi6ysLFy6dIntGGVKSEiAra1tqedtbW2L3XSL62JjY6Xm8tvY2LCcqGIiIyPh6+uLkJAQiEQijBw5Ep6enrxa9Lly5UrJ4tvCwkKsW7dOMqecyzfTAkq+Ay69CVEOVMAThTJmzBiMGTMGiYmJ8Pf3x6xZs5CbmwuxWIyHDx/yZgpNs2bNcPnyZUyePLnE85cuXeL01mZf6Orq8mLHnNKIxWK2I5D/0NLSQkZGBkxNTUs8n5mZCU1NTTmnqpyoqCi4uLjg4cOHkruACgQCWFtbw8fHBx07dmQ5Ydk2bdoEPz8/PHnyBB06dMDmzZsxZswY3l357NmzJx4/fix53K1bNzx//rxYG65iGEZqoCQ/Px8zZsxAjRo1AAAFBQVsxiPViObAE4XGMAwuXLgAHx8fhIWFwdDQEA4ODti1axfb0cr0Za7voUOHMHjwYKlzZ86cwaRJk7Bs2TJOLxCjOfD8EhMTg3bt2nH6asKQIUNgamqKffv2lXh+xowZePnyJafXhgCfF6N37twZVlZWcHV1lVqkvn37djx+/Bi3bt3i9IBDnTp1MH78eLi4uKBly5Zsx1Fazs7OMo24K8qdc8n/owKeKI309HQEBgbC398f0dHRbMcpk1gsxqhRo3D8+HE0b94cVlZWYBgG8fHxSEhIgL29PUJCQmS6MyVbFKGAv3btmkztuDxCJys+FPBfdmeyt7eHm5sbLC0tJc+LrVu34o8//sCVK1fQvXt3tqOWycnJCSKRCMePHy9WfDEMAwcHB6ipqSE4OJilhOX79OkT1NTUSj0fGhqKVatWITY2Vo6pql58fDx8fHywZcsWtqMQIoUKeKJU7t69Cw8PD5w+fZrtKDI5evQoDh8+LLV94ejRozF69GiWk5VPEQr4st4gfSm8BAIBRCKRvCJVWtu2bcscqcvNzUVCQgKnC3gAOHHiBKZNm4b09HSp4wYGBjhw4ABGjBjBUjLZ1alTB3/++Sc6dOhQ4vm///4bgwcPxrt37+ScrGIOHDiA8PBwqKurY968eejcuTMuX76MhQsX4smTJ5g4cWKpV0u4LCcnB0eOHIGPj4/kSsiDBw/YjlUiRdqul1QMzYEnCuf8+fOSF5WpU6eicePGePToEdzd3XHq1CkMHDiQ7YgyGzVqFEaNGsV2jEorLCxkO8I3+fDhQ4nHc3NzsXPnTuzatUuyXRvXybIglw9++OEHDBw4EOfPn5d6YztgwADe3AU0KytLsm1hSYyMjJCVlSXHRBX3yy+/YOXKlbCxscGjR4/wxx9/4Oeff8bu3bsxb948TJ8+HQYGBmzHrJAbN27Ax8cHwcHByMvLg6urK3x9fSX3G+AiGoNVYgwhCsTb25sRCARM7dq1GaFQyNSpU4c5dOgQU7NmTWb69OnMw4cP2Y4ok6KiIuaXX35hunXrxnTo0IFZsmQJk5uby3asChEIBExKSgrbMapUUVERc/DgQcbExIQxNTVlfH19maKiIrZjVYvr168z+fn5bMcoRiwWM0+ePGEePHjAfPr0ie04lWJhYcEcO3as1PMhISGMhYWFHBNVnIWFBePv788wDMNcu3aNEQgEzJAhQ5js7GyWk1VMSkoKs3HjRqZ58+aMkZER4+rqyvz999+MqqoqExcXx3a8cini31kiGxqBJwpl586d2LhxIxYtWoTjx4/D0dERe/fuxf3792FiYsJ2PJmtW7cOq1atgq2tLbS0tLBz506kpqbC19eX7WhKKzQ0FMuWLcO7d++wdOlSzJkzp9wtMvnMzs5O6o6OXJCYmIjhw4dLbgtvYmKC48ePlzoVhatGjx6NBQsWoHnz5sUWgN6/fx9ubm6YOHEiS+lk8/LlS/Tt2xcA0KNHD6ipqWH16tWS3U/4olGjRhg5ciR27tyJ/v37c3pdUWm8vb2ho6NTZpu5c+fKKQ2RF5oDTxRKjRo1EBcXBzMzMzAMAw0NDV4savtas2bN4ObmhunTpwMALl68iCFDhiAvL483LzBCoRBr167l/QtLREQElixZgvv372PevHlYsmSJZI9oRfb1HR25YOTIkYiLi8PKlSuhqamJLVu2IC8vD/fu3WM7WoXk5+ejX79+uH37Nvr37y+1SP3ixYvo1KkTLl++zOktMYVCIVJSUlCnTh0An39fYmNjYW5uznKyirG0tERBQQHGjh2LCRMmSKbL8OXu3UKhECYmJlBRUSm1jUAgKLY1JuE/GoEnCiUvL08yD1YgEEBDQwP169dnOVXFvXz5Umr7SFtbWwgEArx9+5ZXVxL2799f7gsLlwv4wYMH4+LFi5gyZQpOnjwJIyMjtiMptevXr+PYsWP47rvvAABdunSBiYkJcnJyeDXyq6mpiStXrmD79u0ICgpCREQEgM9z+deuXQtXV1deXN1ZsWKF1A2Q1q5dW+zN7bZt29iIJrNHjx5J5r537NgRFhYWGD9+PAD+3BDpzp07tIhVCdEIPFEoX4/6LlmyBIsWLYKhoaFUOy4XjcDnnQWSk5Mlo1sA/0a4FGUXGlVVVdSoUaPMF/Ovd0RRBFwcgRcKhUhKSpJaAKqjo4P79+/z5nmhKHr37l1ugSsQCHD58mU5Jfp22dnZCAoKgp+fH27duoVevXph7NixsLe3l/pbzCW0C43yogKeKBQzMzOZXlS4fjlRKBTCzs5OahTu1KlT6Nu3r9RIY2hoKBvxZKIILywBAQEytZs0aVI1J5E/LhbwKioqePLkiVQxZWJiguvXr8PMzExyTE9Pj4V0svP19cW4ceN4Mcqu6NasWQM3N7diOxh92f/90KFDSE9Px6dPn1hKWDZFGCghlUMFPCEcNHnyZJnacfnuevTCwm96enqcW8QqFApLvPHRl2Nf/p/re9l//ebW2NgYkZGRUm9CiHyUN9AgEokQFhYGBwcHOSeTzerVq7Fo0SKZt1CdOXMm1qxZU+yqNOEfmgNPFI5YLIa/vz9CQ0Px4sULCAQCNG7cGCNGjMCECRN4Ma+Ry4W5rDw8PMpdwErk5+XLl2jYsKHMv/9cHNu5cuUK2xGqxNf/tllZWRCLxSylqZzSClp9fX1YWFhg6tSpnJ128l/l/Z6rqqpytngHPv+drYjffvsNbm5uVMArACrgiUJhGAbDhg3Dn3/+idatW6NVq1aS3R2cnZ0RGhqKkydPsh2zSqSmpnJ6dFtLS0uqWLxx4wY6dOggmTaQlZWFJUuWYO/evWxFLJeBgYFMBS8f5sCbm5tXaEoTF28k1KtXL7YjkP8pbSemjIwMHDx4EJs3b8a1a9eKbZPJRXwY1KkqXHxjTiqHptAQheLn54d58+bhjz/+QJ8+faTOXb58Gfb29vDy8uL8Hsva2tr4999/JSNYQ4YMgbe3t2RHnZSUFBgbG3N6qsDXl6a/npLBhz4o0hx4RZjSFBwcDHt7e6irqwMAXr9+DWNjY8nWqrm5ufDy8sLixYvZjFmurxep6+npISYmRmEW4orFYvz4449ITU3FqVOn2I5TJqFQCH19/XKLeD68SZcFF9e2kMqhAp4olAEDBqBv375wd3cv8fz69esRERGB8+fPyzlZxXxdbH39RzclJQX169fn9GV3WfrA9QJekXy9bzcfKcKbQqB40ZiRkQE9Pb1i93jgc9EYExMDOzs7vH37lu0oZRIKhdixY0e593bgw5t0WVABrzhoCg1RKLGxsdi0aVOp5+3s7LBr1y45Jqo+ynTZl01Hjx5FWFgYCgsL0a9fP8yYMYPtSJX23327S8Plfbu/Hm/i6/iTIqxxKU+NGjWQm5vLdgyZjB49mtdXpohyogKeKJT09HSpPaK/Vq9ePXz48EGOiQif7du3D7NmzUKzZs2gpaWF0NBQPHv2DJs3b2Y7WqXcv39fMv2kJPSmUD4qOpobFBSE4cOH8+pmVeHh4bCwsGA7Rrnod57wFRXwRKEUFRVBVbX0X2sVFRWIRCI5JqocgUAg9cLy9WO+8Pb2luxEIxKJ4O/vL9n9gIuLJL/m5eUFDw8PyU4Pv/32G6ZPn87bAv7EiRM00shD06dPR+fOnTk17SEsLKzE4x8/fsTdu3fh7e0Nb29vOaequIpexfl63QXfjB8/nvP3SSCyoTnwRKGUdAOk/yooKMC5c+d4P0eWYRhkZmZyuh+KcFMtLS0txMfHS/bnFovF0NLSwosXLyQLivlCEW6sJRQKERAQIJmvPGbMGOzYsUNy1S0jIwOTJ0/m9POiMrg4b7m0AlZXVxfNmzfHggULMHr0aDmnqn5cuz9CWloacnJy0KhRI8mxuLg4bNmyBTk5ObC3t8fYsWNZTEiqC43AE4Uiy6Vpru9AAyjGHNkXL16Uef7169dYs2aNfMJUUkFBgdS0BaFQCHV1deTl5bGYqnIUZazm6+f49OnTWUqi3Li8gL46ce15NGfOHBgbG2Pr1q0APm8v3KNHDxgbG6NJkyZwdnZGUVERJkyYwHJSUtWogCcKRREKX0Bxdjwoy/v37+Hj44Nff/2V7Shl+nrhZ2FhIdatWye1awWXF35+4efnV+5OG1wnS9HIl4WTfHfz5k28f/8eQ4cOlRwLDAyEh4eHZOR39+7dpV4NJVXj1q1b8Pf3lzwODAxErVq1EB0dDVVVVWzZsgV79uyhAl4BUQFPCA8lJSVh3bp18PLyYjuKQuvZsyceP34sdaxbt25S0374sjbB3Nwct2/fLrddz5495ZCm6hUUFGDPnj3YtGkTkpOT2Y6j8FavXo0+ffpICvj79+/DxcUFzs7OsLKywubNm2FsbIxVq1axG1TBJScnS6b4AZ/vd+Lg4CBZCzZ8+HBs2LCBpXSkOlEBTwhHxcXF4cqVK1BXV4eTkxNq1qyJtLQ0rFu3Dvv37+fMHExFdvXqVanHaWlpAMDL25D37t0bAoGgxCkAX96ECAQCTi/yLigowKpVqxAeHg51dXUsXrwY9vb28PX1xfLly6GiogJXV1e2YyqFmJgYrF27VvL4yJEj6Ny5Mw4ePAgAaNiwITw8PKiAr2Z6enrIyMiQzIGPioqCi4uL5LxAIEBBQQFb8Ug14ucyakIUXFhYGNq2bYu5c+dixowZ6NChA65cuQIrKyvEx8fjxIkTiIuLYzumUsjIyMCsWbNgaGiIevXqoV69ejA0NMTs2bORkZHBdjyZffjwAenp6fjw4YPUx5s3b7Bo0SJoaGjA0tKS7ZhlWrlyJfbt2wczMzO8ePECjo6OmDZtGnbs2IFt27bhxYsXWLJkCdsxq1yjRo2gpqbGdgwpHz58kNqyNyIiAnZ2dpLHHTt2xKtXr9iIVq24dsWtS5cu2LVrF8RiMY4dO4asrCz07dtXcv7Jkydo2LAhiwlJdaEReEI4aO3atZg1axY8PT3h7e2NBQsWYO7cuTh79iw6duzIdjyZODg4lHmeD8Vveno6unbtijdv3mDcuHGwsrICADx8+BD+/v64dOkSIiMjYWBgwHLS8n09/10sFsPX1xerV6+GUCjEnj17OL/2IiQkBIGBgRg+fDgePHgAGxsbiEQixMTEcK6wKktUVBTat28PFRWVEs8XFBTgjz/+gJOTEwDgwYMH8ownk3r16iExMRENGzZEYWEh7t27h9WrV0vOZ2Vlce5NR1Xg2iJWT09P9OvXD7/99htEIhGWLVsm9ffoyJEj6NWrF4sJSXWhbSQJ4SB9fX3cvXsXTZs2RVFRETQ0NHDu3DnY2tqyHU1mkydPlqkdlxcez58/H5cuXcLFixeL3SAsOTkZAwYMQL9+/bB9+3aWElZOaGgoli1bhnfv3mHp0qWYM2cOLxYbqqurIzExEQ0aNADweZvPqKgotGrViuVkFfP1lp5fb02YkpICY2NjTm+H+dNPPyEmJgYbN27EyZMnERAQgLdv30puFPb7779jx44d+Pvvv1lOWraioiLExcVJbtb2X7m5uXj69Clatmwp2Tbz1atXMDY2LvXNFxvS0tJw48YNGBkZoXPnzlLnzpw5gxYtWsDc3JyldKTaMIQQzhEIBExKSorksY6ODvPs2TMWEymnRo0aMefOnSv1/J9//sk0atRIfoG+0dWrV5nOnTsz2trazNKlS5mMjAy2I1WIUChkUlNTJY91dHSY58+fs5iocsp7ficnJzMCgYCNaDJ79+4d06NHD0YgEDC6urpMaGio1Pm+ffsyy5YtYymd7Pz8/Jj27dszIpGo2LlPnz4x7du3Zw4dOsRCMkLKRlNoCOGo8+fPS6Y9iMViXLp0qdil9OHDh7MRTWkkJSXB2tq61PMtW7bkzY4ngwcPxsWLFzFlyhScPHkSRkZGbEeqMIZh4OzsLLlakJ+fjxkzZkjt1Q98vsLAd1yfEmRoaIhr167h48eP0NHRKTYiHRISIrkLM5f5+PjAzc2txBF1VVVVLF68GF5eXhg/fjwL6cq3YMGCEo/r6+vDwsICDg4OvLi6RiqOptAQwkGy3KZbIBBw+hK7ImjQoAGOHj2K7777rsTzf/31F0aNGoW3b9/KOVnFCYVCqKqqokaNGmUWh+np6XJMVTGKMC0L+PyzSE5Olkyh+fpOq3yYQqMo6tati6ioKKmtGP8rMTERnTp1wrt37+QbTEZ9+vQp8XhGRgaePn2KevXq4fLlyzA1NZVzMlLdaASeEA5S1rsccs3AgQPx888/S7Yt/K+CggKsWLECgwYNYildxXC9qJWFIvThi4cPH0qu3jAMg0ePHiE7OxvA/29XSqpfTk4OMjMzSz2flZXF6ZuDXblypdRzmZmZGDduHNzd3XH48GE5piLyQCPwhCiAIUOGwNvbG/Xr12c7ikJ5/fo1OnToAA0NDcyaNQuWlpZgGAbx8fHYu3cvCgoKcOfOHdqmjVSIUCgsc09+hmHoCpuctGnTBjNmzMCMGTNKPL937178+uuviI6Olm+wKhIVFQVHR0f8+++/bEchVYxG4AlRANeuXUNeXh7bMRSOiYkJbt68iZkzZ2Lp0qWSgksgEKB///7w8vLiTfFe0a0LSfVJTExkOwL5n7Fjx2L58uXo1q0bbGxspM7FxMRg5cqVWLx4MUvpvp2hoSGnp8WRyqMReEIUwNdzaEnV+/DhAxISEgAATZs2Ra1atVhOVDGKsHUhIVXt06dPGDBgAK5fvw5bW1vJzcwePXqEixcvonv37ggPD+ftnvaHDx/Gpk2beHsFgZSORuAJIUQGBgYG6NSpE9sxKu3rsZqSxm5oPEc+0tLSkJOTg0aNGkmOxcXFYcuWLcjJyYG9vT3Gjh3LYkLloaamhgsXLmD79u04fPgwrl27BoZhYGFhgXXr1mH+/PmcLt5jY2NLPP7x40fcvXsX69evh4eHh5xTEXmgAp4QQggA7m9dqCjmzJkDY2NjbN26FQCQmpqKHj16wNjYGE2aNIGzszOKioowYcIElpMqBzU1NSxevJiXU2XatGlT6noKQ0NDLFiwADNnzmQhGaluVMATQgghcnTr1i34+/tLHgcGBqJWrVqIjo6GqqoqtmzZgj179lABT8pV2noKPT09GBgYyDkNkScq4AkhREnQ1oXckJycLLXv+OXLl+Hg4ABV1c8vycOHD8eGDRtYSqdcDAwMZLryxNWFoP+dhkWUCxXwhPBQamoqvL29sWzZMgDAsmXLeLeokshfv379pC61Dx06FID01oWk+unp6SEjI0NSfEVFRcHFxUVyXiAQoKCggK14SmXHjh1sR6gSISEhCAoKwpMnTwAAFhYWGDt2LEaOHMlyMlJdaBcaQngoJiYG7dq1ox1DiMxk3QeaRvSq3/fffw9DQ0McPHgQoaGhGDduHJKTkyVTHs6cOQM3NzfEx8eznFTxXbt2Dd26dZNc/eAbsViMMWPGICQkBBYWFpJddOLj4/H06VM4OjoiKCiI3pwrIH7+xhJCCKkQKsy5w9PTE/369cNvv/0GkUiEZcuWSc1XPnLkCHr16sViQuXRp08fqe1V+Wbnzp24ePEiwsLCJFfUvggLC8PkyZOxc+dOzJ8/n52ApNrQCDwhPEQj8KSiSttu7mtf38yGVI+0tDTcuHEDRkZG6Ny5s9S5M2fOoEWLFjA3N2cpnfIQCoVITk7mbQFvY2OD+fPnY8qUKSWe9/Hxwc6dO2V+/hP+oAKeEB6iAp5UlFAoLHW7uS8EAgH9ThGlIhQKkZKSgjp16rAdpVK0tLTw+PFjmJqalnj+33//haWlJd2pWwHRFBpCOGjBggVlnn/37p2ckhBFUdp2c0T+AgMDZWo3ceLEak5CAMDZ2RkaGhpltgkNDZVTmorR0tJCRkZGqQV8ZmYmNDU15ZyKyAONwBPCQX369JGp3ZUrV6o5CSGkqpW1P7dAIEBOTg5EIhFdDZEDoVAIJycnaGlpldnOz89PTokqZsiQITA1NcW+fftKPD9jxgy8fPkSZ8+elXMyUt2ogCeEECWQk5MDNzc3hIWFobCwEP369cPu3bt5O3VAESUlJWH16tXw9fVF3759ce7cObYjKTy+z4GPjIxE7969YW9vDzc3N1haWoJhGMTHx2Pr1q34448/cOXKFXTv3p3tqKSKCdkOQAipuPj4eLi5ubEdg/DIihUrcOjQIQwdOhRjx47F5cuXMW3aNLZjEQBZWVlYvnw5LCwsEB0djfPnz1PxLid8316xW7duOHr0KK5cuYKuXbvCwMAAtWrVQvfu3XHlyhUEBQVR8a6gaASeEJ7IycnBkSNH4OPjg1u3bqFFixZ48OAB27EIT5ibm2PTpk1wdHQEANy9exddunRBXl4eb/fA5rtPnz5h9+7dWL9+PWrXro1169bRjXfkjO8j8F/k5ubi/PnzSEhIAPD5Rk4DBgyAtrY2y8lIdaECnhCOu3HjBnx8fBAcHIy8vDy4urpi6tSpkht2ECILNTU1/PvvvzA2NpYc09bWxqNHj0pdAEeqB8MwCAwMxMqVKyESieDh4QEXFxeoqKiwHU3pREREoFu3bnjx4gUKCwvRvHlzekNLeIF+SwnhoNTUVPj7+8PX1xcfP37EmDFjcPXqVXTt2hVTpkyh4p1UmFgshpqamtQxVVVVWijJAhsbGzx//hxz5szB/Pnzoa2tjZycnGLt9PT0WEinXExNTdGuXTs8fPgQAGBiYoLjx4+jQ4cOLCeTza5du2RqN3fu3GpOQuSNRuAJ4SAtLS2MHDkS48ePR//+/SEUfl6uoqamhpiYGLRo0YLlhIRvhEIhWrZsKTW6GBsbC0tLS6irq0uO3bt3j414SuXL8xkoeQ42wzC0J7+cjBw5EnFxcVi5ciU0NTWxZcsW5Ofn4+7du2xHk4ksN/sSCAR4/vy5HNIQeaIReEI4qFGjRrh+/TpMTU3RqFEjGnEn38zDw6PYse+//56FJIS2f+WO69ev49ixY/juu+8AAF26dIGJiQlycnJQo0YNltOVj+7voLxoBJ4Qjvoy9z0kJAQWFhYYP348Fi9ejNjYWFhZWbEdjxBCeE8oFCIpKQn16tWTHNPR0cH9+/dlGt3mgzdv3qBBgwZsxyBVjAp4QjguOzsbQUFB8PPzw61bt9CrVy+MHTsW9vb2tIc3ITz25s0bHD9+HE+ePAEANG/eHA4ODlRsyZGKigqePHki9bfUxMQE169fh5mZmeQYH9cjJCcnY926dfDx8UFubi7bcUgVowKeEB6Jj4+Hj48PDh06hPT0dHz69IntSIQn2rZtK9Oe1zQHXj727t2LBQsWoLCwUFIcZmZmQl1dHdu2bcPMmTNZTqgchEJhsefFlzUI//1/rq5H+PDhA2bOnInw8HCoq6vD3d0ds2fPxqpVq7BlyxbY2NjA1dUVo0aNYjsqqWI0B54QHrGyssKWLVuwYcMGnDp1iu04hEfs7e3ZjkD+58yZM5g7dy7mz5+PhQsXon79+gA+34l18+bNmDdvHszMzDB48GCWkyo+vq9HcHd3R2RkJJydnXH+/Hm4urri3LlzEAqFuHz5Mrp06cJ2RFJNaASeEEIIkaPevXvju+++w9q1a0s8v3z5cly/fh1Xr16VbzDCO6ampvD390ffvn3x4sULNG7cGO7u7li/fj3b0Ug1owKeEA4q6bLu1wQCAUQikZwSEb7Lz8/HhQsX0KdPH+jq6kqdy8zMxNWrVzFw4EBoaGiwlFB56Onp4e+//0bz5s1LPP/48WN07NgRmZmZck6mvPi6HkFVVRWvXr2SXMXR1tbGnTt3aKthJUBTaAjhoBMnTpR67ubNm9i1axfEYrEcExG+O3DgAMLCwjB8+PBi5/T09LBr1y68fPkSs2fPZiGdcikqKip2U63/UlNT4+yca0VU2nqERYsWcX49AsMwUvd2UFFRgZaWFouJiLxQAU8IB5W0P/fjx4/h7u6OU6dOYdy4cVizZg0LyQhf/f7771ixYkWp5+fPn481a9ZQAS8H1tbW+OOPP+Dq6lri+ZMnT8La2lrOqZQT39cjMAyDfv36SYr4vLw8DBs2TOrmbAAtTldEVMATwnFv376Fh4cHAgICMHDgQERHR6Nly5ZsxyI8k5CQgNatW5d63sbGBgkJCXJMpLxmzZqFn376CRoaGpg2bZqk+BKJRDhw4ACWL1+OvXv3spxSOWzevBnu7u7F1iPUr18f27Ztg7a2NjZt2sTZAv7rG7TRzdmUB82BJ4SjPn78iPXr12P37t1o06YNNm7ciB49erAdi/CUrq4url69ivbt25d4/u7du+jduzeysrLknEw5ubm5Ydu2bdDV1UWTJk3AMAyeP3+O7OxszJ07F9u3b2c7olKg9QiEr4RsByCEFLdp0yY0btwYp0+fRlBQECIjI6l4J9/E2toaFy9eLPX8hQsXaNqGHG3ZskWy/Z+RkRHq16+PyZMn48aNG1S8y5Eir0fIzMzEvn370KFDB7ajkGpAI/CEcJBQKISWlhZsbW2hoqJSarvQ0FA5piJ89uuvv2LBggU4cuQIhg4dKnXu1KlTGDNmDLZt24Zp06axlJAQ+evUqRPGjBlT6nqEbdu24ciRI4iKipJzssq7cuUKfH19ERoaCn19ffzwww/Ys2cP27FIFaM58IRw0MSJE2W6ayYhspo2bRquXbuG4cOHw9LSUjJl4NGjR3jy5AmcnJyoeJeTnJwcuLm5ISwsDIWFhejXrx92796NOnXqsB1N6SjKeoQ3b97A398ffn5+yMjIwIcPH3D48GE4OTnRa4mCohF4QghRIsHBwTh8+DASEhLAMAwsLCwwduxYODk5sR1NaSxYsAC//vorxo0bB01NTQQFBaF79+5lbh9Lqg+f1yMcP34cPj4+uHbtGuzs7DB+/HjY2dmhRo0aiImJof3gFRgV8IQQQogcmZubY9OmTXB0dATweQFxly5dkJeXJ7WnN5GfW7duISgoSLITk4WFBUaPHo0uXbqwnKxsqqqqWLJkCdzd3aVu0KampkYFvIKjAp4QDnJwcJCpHc2BJ7IKDg6Gvb29ZH/o169fw9jYGELh570McnNz4eXlhcWLF7MZUymoqanh33//hbGxseSYtrY2Hj16BFNTUxaTEb6ZPn06jh49Cmtra0yYMAGjRo2CgYEBFfBKgAp4Qjho8uTJMrXz8/Or5iREUaioqCApKQl169YF8Hn7vOjoaDRu3BgAkJKSAmNjY97uuMEnKioqSE5Olprzrqenh5iYGJibm7OYTPm8fPlSpnZcfmOVl5eH4OBg+Pr64vbt2xg4cCDOnDlD9wxRcFTAE8JBz58/h5mZmWR0lJBvJRQKkZycLCngdXV1ERMTQwU8C4RCIVq2bCk1XSY2NhaWlpZSd9Cku2dWP6FQWOIiT4ZhJMcFAgFEIpG8o8nkwYMHUkV6QkICfH19ERgYiOzsbAwZMgQjR46U+aou4Q8q4AnhoK9HS0eNGoVdu3ahXr16LCcjfEUFPHesXr1apnZf32WTVL2YmJgSjzMMgyNHjmDXrl3Q0dFBamqqnJPJRigUomPHjpg6dSrGjBkDHR0dAIBYLMaZM2fg4+ODP//8EwUFBSwnJVWNCnhCOKi8YouQiqICnhDZXLx4Ee7u7njy5AkWLFiAhQsXSi0Q5ZK//voLfn5+OHbsGMRiMUaMGIGpU6dK3fgvNTVV8rwnioOWuxNCiJI4f/489PX1AXweobt06RIePHgAAMjIyGAxGQGAiIgI5OTkoGvXrjAwMGA7jtK5d+8elixZgr/++gtTp07F2bNnOV/49ujRAz169MDu3bsRHBwMf39/9OrVC02bNoWLiwsmTZoEIyMjtmOSakAj8IRw0NeL3HR1dREbG0sL3EilybqeQiwWV3MSsnHjRmRnZ8PT0xPA5+kadnZ2uHDhAgCgbt26uHTpEqytrdmMqTSePXuGZcuW4fjx43BycsLatWt5fbXz6dOn8PPzw6FDh5CcnIxBgwYhLCyM7VikilEBTwgHCYVC2NnZQUNDA8DnW9337dsXNWrUkGpH20iSqpSbmwttbW22Yyi8du3aYcmSJRg1ahQAICQkBJMmTUJ4eDisrKwwceJEaGtrIzg4mOWkim/mzJnw8fFBnz598Msvv6BNmzZsR6oSOTk5+P3337F06VJkZGTQ1DgFRAU8IRxE20gSeSooKMCePXuwadMmJCcnsx1H4RkYGCAyMhJWVlYAPj/fi4qKEBgYCODzTYUcHR3x6tUrNmMqBaFQCE1NTVhaWpbZji87Al27dg2+vr44fvw4hEIhnJyc4OLiwvkbUpGKoznwhHAQFeakqhUUFGDVqlUIDw+Huro6Fi9eDHt7e/j6+mL58uVQUVGBq6sr2zGVgkgkklxdA4CbN29i/vz5ksfGxsZIS0tjIZnyWblyZYnbSPLJ27dv4e/vD39/fzx9+hTdunXDrl274OTkVOyqLVEcVMATQogSWLlyJQ4cOABbW1tERkbC0dERkydPxq1bt7Bt2zY4OjpCRUWF7ZhKoUmTJrh27RoaN26Mly9f4smTJ+jZs6fk/OvXr1G7dm0WEyoPDw8PXhfwdnZ2uHjxIgwNDTFx4kRMmTIFzZs3ZzsWkQMq4AkhRAmEhIQgMDAQw4cPx4MHD2BjYwORSISYmBheFzB8NGvWLMyePRt//fUXbt26ha5du0rd8v7y5cto27YtiwmVR/fu3REYGIimTZuyHaVS1NTUcOzYMQwdOpTegCsZus0jIYQogdevX6N9+/YAgJYtW0JDQwOurq5UvLPgxx9/xK5du5Ceno6ePXvi+PHjUuffvn0r8zoY8m1MTEzQpk0b7Nmzh+0olRIWFobvv/+einclRItYCSFECdDWpISULCQkBLNnz4aNjQ38/PxgYmLCdiRCykUFPCGEKAHampQ7goODYW9vD3V1dQCfr44YGxtL9urPzc2Fl5cXFi9ezGZMpfLu3TvMmjUL4eHhmDBhAlRVpWcYb9u2jaVkhJSMCnhCCFECtDUpd6ioqCApKUlyl089PT1ER0dLbh6UkpICY2Nj2rtbjoqKirBmzRqsX78eXbp0kSrgBQIBLl++zGI6QoqjRayEEKIEqDDnjq/HzWgcjV1xcXGYOHEi0tPTceHCBfTp04ftSISUixaxEkIIIUQpbdiwAe3bt0fr1q0RGxtLxTvhDRqBJ4QQQohS2rVrl2QbRkL4hAp4QgghRM7Onz8PfX19AIBYLMalS5fw4MEDAEBGRgaLyZTL0aNHkZmZKXUsMDAQHh4eyMnJgb29PXbv3i1151xCuIAWsRJCCCFy9GW3mfKIxeJqTkLs7OzQu3dvLFmyBABw//59tGvXDs7OzrCyssLmzZsxffp0rFq1it2ghHyFCnhCCCGEY3Jzc6Gtrc12DIVXv359nDp1Ch06dAAA/Pzzz4iIiMD169cBfN4j3sPDAw8fPmQzJiHF0CJWQgghhCMKCgqwbds2yZaSpHp9+PAB9erVkzyOiIiAnZ2d5HHHjh3x6tUrNqIRUiYq4AkhhBA5KigowNKlS9GhQwd069YNJ0+eBAD4+vrC3Nwc27dvh6urK7shlUS9evWQmJgIACgsLMS9e/fQpUsXyfmsrCyoqamxFY+QUtEiVkIIIUSOVq5ciQMHDsDW1haRkZFwdHTE5MmTcevWLWzbtg2Ojo5QUVFhO6ZSGDx4MNzd3bFx40acPHkS2tra6NGjh+R8bGwsmjRpwmJCQkpGBTwhhBAiRyEhIQgMDMTw4cPx4MED2NjYQCQSISYmBgKBgO14SsXT0xMODg7o1asXdHR0EBAQAHV1dcl5X19fDBgwgMWEhJSMFrESQgghcqSuro7ExEQ0aNAAAKClpYWoqCi0atWK5WTK6+PHj9DR0Sl25SM9PR06OjpSRT0hXEAj8IQQQogcFRUVSRWEqqqq0NHRYTER+bIn/9dq1aol5ySEyIYKeEIIIUSOGIaBs7Oz5OZA+fn5mDFjBmrUqCHVLjQ0lI14hBAeoAKeEEIIkaNJkyZJPR4/fjxLSQghfEVz4AkhhBBCCOER2geeEEIIIYQQHqECnhBCCCGEEB6hAp4QQgghhBAeoQKeEEJIlXB2doa9vb3kce/evTF//ny557h69SoEAgEyMjLk/r0JIUQeqIAnhBAF5+zsDIFAAIFAAHV1dTRt2hRr1qyBSCSq1u8bGhoKT09PmdpS0U0IIbKjbSQJIUQJDBo0CH5+figoKMDZs2cxa9YsqKmpYenSpVLtCgsLq+yuk3QTHEIIqR40Ak8IIUpAQ0MDRkZGaNSoEX766SfY2toiLCxMMu1l3bp1MDY2RvPmzQEAr169gpOTE2rWrIlatWrh+++/x4sXLyRfr6ioCAsWLEDNmjVRu3ZtLF68GF/vSvz1FJqCggIsWbIEDRs2hIaGBpo2bQofHx+8ePECffr0AQAYGBhAIBDA2dkZACAWi7FhwwaYm5tDS0sLrVu3xrFjx6S+z9mzZ2FhYQEtLS306dNHKichhCgiKuAJIUQJaWlpobCwEABw6dIlPH78GOHh4Th9+jQ+ffqEgQMHQldXF3/99Rdu3LgBHR0dDBo0SPI5W7duhb+/P3x9fXH9+nWkp6fjxIkTZX7PiRMnIigoCLt27UJ8fDwOHDgAHR0dNGzYEMePHwcAPH78GElJSdi5cycAYMOGDQgMDMT+/fsRFxcHV1dXjB8/HhEREQA+v9FwcHDAsGHDEB0djalTp8Ld3b26/tkIIYQTaAoNIYQoEYZhcOnSJZw/fx5z5szBu3fvUKNGDXh7e0umzvz2228Qi8Xw9vaGQCAAAPj5+aFmzZq4evUqBgwYgB07dmDp0qVwcHAAAOzfvx/nz58v9fs+efIEwcHBCA8Ph62tLQCgcePGkvNfptvUrVsXNWvWBPB5xH79+vW4ePEiunbtKvmc69ev48CBA+jVqxf27duHJk2aYOvWrQCA5s2b4/79+9i4cWMV/qsRQgi3UAFPCCFK4PTp09DR0cGnT58gFosxduxYrFq1CrNmzUKrVq2k5r3HxMTg6dOn0NXVlfoa+fn5ePbsGT5+/IikpCR07txZck5VVRUdOnQoNo3mi+joaKioqKBXr14yZ3769Clyc3PRv39/qeOFhYVo27YtACA+Pl4qBwBJsU8IIYqKCnhCCFECffr0wb59+6Curg5jY2Ooqv7/n/8aNWpItc3Ozkb79u3x+++/F/s6derUqdT319LSqvDnZGdnAwDOnDmDBg0aSJ3T0NCoVA5CCFEEVMATQogSqFGjBpo2bSpT23bt2uHo0aOoW7cu9PT0SmxTv3593L59Gz179gQAiEQi3L17F+3atSuxfatWrSAWixERESGZQvNfX64AFBUVSY61aNECGhoaePnyZakj91ZWVggLC5M6duvWrfI7SQghPEaLWAkhhEgZN24cDA0N8f333+Ovv/5CYmIirl69irlz5+L169cAgHnz5uGXX37ByZMn8ejRI8ycObPMPdzNzMwwadIkTJkyBSdPnpR8zeDgYABAo0aNIBAIcPr0abx79w7Z2dnQ1dWFm5sbXF1dERAQgGfPnuHevXvYvXs3AgICAAAzZsxAQkICFi1ahMePH+Pw4cPw9/ev7n8iQghhFRXwhBBCpGhra+PatWswNTWFg4MDrKys4OLigvz8fMmI/MKFCzFhwgRMmjQJXbt2ha6uLn744Ycyv+6+ffswcuRIzJw5E5aWlvjxxx+Rk5MDAGjQoAFWr14Nd3d31KtXD7NnzwYAeHp6YsWKFdiwYQOsrKwwaNAgnDlzBubm5gAAU1NTHD9+HCdPnkTr1q2xf/9+rF+/vhr/dQghhH0CprQVR4QQQgghhBDOoRF4QgghhBBCeIQKeEIIIYQQQniECnhCCCGEEEJ4hAp4QgghhBBCeIQKeEIIIYQQQniECnhCCCGEEEJ4hAp4QgghhBBCeIQKeEIIIYQQQniECnhCCCGEEEJ4hAp4QgghhBBCeIQKeEIIIYQQQniECnhCCCGEEEJ45P8AZ5/gWO+Cjc4AAAAASUVORK5CYII=", "text/plain": [ - " document_id consultation_id consultation_start_date \\\n", - "42943 43586 3299 2018-11-14 \n", - "\n", - " consultation_end_date \\\n", - "42943 2019-02-08 \n", - "\n", - " consultation_title \\\n", - "42943 Vernehmlassung zur Totalrevision des Gesetzes ... \n", - "\n", - " consultation_description document_source_url \\\n", - "42943 https://www.nw.ch/_doc/187636 \n", - "\n", - " consultation_url consultation_topics \\\n", - "42943 https://www.demokratis.ch/vernehmlassung/z76mgsec [health] \n", - "\n", - " document_type ... organisation_name political_body \\\n", - "42943 NaN ... Regierungsrat des Kantons Nidwalden nw \n", - "\n", - " consultation_reviewed_at document_source \\\n", - "42943 NaT openparldata \n", - "\n", - " consultation_topics_label_source \\\n", - "42943 openparldata \n", - "\n", - " document_content_plain \\\n", - "42943 Antrag an den Landrat 714.1 \\n 1 \\nGesetz \\nü... \n", - "\n", - " embedding prediction_rule \\\n", - "42943 [0.006048629991710186, -0.012576724402606487, ... None \n", - "\n", - " prediction_ml ground_truth \n", - "42943 DRAFT NaN \n", - "\n", - "[1 rows x 23 columns]" + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plotting.plot_confusion_matrix_heatmap(\n", + " sample_batch_with_ground_truth[\"ground_truth\"],\n", + " sample_batch_with_ground_truth[\"prediction_ml\"],\n", + " target_names=target_names,\n", + " title=\"ML model\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Rule-based model vs. ground truth" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " DRAFT 0.86 0.75 0.80 8\n", + " FINAL_REPORT nan 0.00 0.00 1\n", + " LETTER 1.00 1.00 1.00 5\n", + "RECIPIENT_LIST 1.00 0.80 0.89 5\n", + " REPORT 0.91 1.00 0.95 10\n", + " RESPONSE_FORM 1.00 0.50 0.67 2\n", + " SURVEY 0.00 nan 0.00 0\n", + "SYNOPTIC_TABLE 1.00 0.75 0.86 8\n", + " VARIOUS_TEXT 0.38 0.75 0.50 4\n", + "\n", + " accuracy 0.81 43\n", + " macro avg 0.77 0.69 0.63 43\n", + " weighted avg 0.89 0.81 0.83 43\n", + "\n" + ] + } + ], + "source": [ + "_df = sample_batch_with_ground_truth[sample_batch_with_ground_truth[\"prediction_rule\"].notna()]\n", + "print(sklearn.metrics.classification_report(_df[\"ground_truth\"], _df[\"prediction_rule\"], zero_division=np.nan))" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" ] }, - "execution_count": 93, + "execution_count": 174, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "sample_batch.loc[sample_batch[\"document_id\"] == 43586] # noqa: PLR2004" + "plotting.plot_confusion_matrix_heatmap(\n", + " _df[\"ground_truth\"], _df[\"prediction_rule\"], target_names=target_names, title=\"Rule-based model\"\n", + ")" ] }, { diff --git a/research/document_types/ground_truth.xlsx b/research/document_types/ground_truth.xlsx index 9a824dad7febb79d55e024a67de94abba111562c..2450ce77644494151d0e4f0b67bf5fa7ecef099a 100644 GIT binary patch delta 20538 zcmYIvV|3tL*LKaR&8cnMwrz82BeiYYoVrtMim7c+ZM*&Ee%>G7kDRrVEBngUS?45s zCrh_@67=UED2NaW>hR<#C;~v&p_mKZ-_ZICd@t7o?T2tFY2BL4MTHFO#ii;&kZKKx zMXa@o`rY+*jl;LSL+0V z;j*{%TGB#SY2l}c&&T-htKM9Pb}d2Yo+Xfi3(@YRMtHd=2w&qk`WMNy9K!3xAy8M}}J@odl zh=&;*NC%z(Pc!ypM$(Epc5%m-1!rMGTSuR00(;sWr`>oIwk20oI|72mpCZ?J^?z}M zvU%quKTXX{-iaaB_pyPTFth9+0oK$(aN1q}q*R|i=j}eGS97*+bGR+2Le~P3hxqN< zufJcS7Vm#h>c_fnYR*;2Ep})m8(5GhH-B?OD)SW;q>CtwhSnHl7{yjrfe`7xwGg9ryKW8Pl{!or0@zJeJR zl8XxwzTuJ3+9SJFWN&*rZuwdyWxz64YR`q$L&E$5IN1u8K*CX#)hvE7=0Ly9&2ITp z8awMTehCkiC?zrzv+=%m-b@>VF^Vz4K1jeJ45y!9ke#LRiJl4(q4mqAX0M9sMt}%* z4STV)6%Vn~O%DQ4BCWPV8d*37d!Ald<{zPnq!=@ znyrSn2vYe}1<*hG8LCJ9M6Xr?Vslq+l~V9DQVyV;?bd+^7D`UO?~*+S1K5FgH1Ai( zF>Q1+xIVQ6wEG&HUD$Oli}9dK>?jqiL*|i^Atx?r zz8xFmi4$h6L;bOcGk$X!zrM&cCv&$kk4rDrKCjrQs295iHd0OLA?A-H8)_mFWQC*H zeVZ{|F_Hnop=KAD=N?KtUjG;iq1h>?A1j`5Fc;AQ{an-Z;OL_Hf=wr=fgYTF)O3qJ}&^)F32le?;N94iIsv@i>Fb%@MQ(fn-Jng&!k#;Xt zvu{Ra8h-xz#No^1%T2jQ+|VjK!%rjelp;1Q`Gs!g+6-n?D zv&J*IYQqhuXI)^_>mxDisX)K1%dkDlsGg(b6j`)6_?D@IN5m!!a${he@fBp$WJb1iD1SZPV#~I$XU%lR83!F?3uPcpX>3pJxR`;RCDfG*Bq+do0 z`0ttMa%adF-nV)*?sff56P_2L5nfnhq7Q^sRE&JQ7M`9}&40tdiGfn)B2o_GYi(1g zu3i=2rZukTAs;fWkLiE>4o20ECe#HpOeQtYCHJ+DZWw~hIM564sJRXg0s`{&_1^$| zrR1E|ZM36=82;u$LOv7O#B2?;I{eH3ZA9qv+`+s(xj;QRLZ z@6MM2;O+ip+~Mne`{Qgqy&k|{?f`lb81n^uy~Lj1NQXw!cMmq5J}%l{m&-2)-+Bf7 zJikhjJ5jqSf5?2xYo}%Q+It||`ran6AiQ^Drm?5k!nYEh79PbmH7_EQmme=-s~GRZ zE4ol$oG%?s;+nslY(zhj3uuoAho&(++~;0RPv>HK$E@QFSZPbkg0ET`DF7kAO9C>W zZJ{j8nWv{~GXl2;)^UoWaH#(1C+2MpE~6PU$B&s(%qea+9*NO9tn$_0!(IHN!Tujj z1dg>Cdg0Uc1DV!1{>-h>nQp7AYy8K{ulXda+kD~}%vXuasGn*7)Q}Y#59V))IpdiP zzWo1M6iNebnjtMY5VqRjI)rw)OlM-r&Vc`A^UOj|?mzJ;XH7ARiO8QB^hAgK8qB79 zfnNSUe#h{=O(RpJ-h?Qdl|bBhlhBo2f!VNp<33}W3qFT*^yUI3lEN5rxwKKKJp3|*X0G=VG%`mjd_~R7`blg z{R$Q^L1KyVny2(ne*)u@?&23hZmRgx#e4?fB-2XHNYV+1RcmKMjhWlPCH-a5zfJB^ z>otPEW@>zjc@EkI6`kXtYkczsbC;u-G6!H(M$Gn@t(m)~K}nNHdW?Sd5KUU|>1q74 z^>zV4IEL&N(SvDZU%-&n=l3$W2qfqcScme6m@HUw3WV$6wBeAS)dIrGNQ6%`W4MX>h1DmW zv{9fQsO>z+sD^mWL_%$X4yDNlXmM`oUO+k~k#SeR?vS~R#7?*t%TOU}uu1regfXXv z{n&Mu0<9?uO$HBIDA(uWX2VuM6cSS&qKKKID9LO4@Bz&sQ9y(-L3eVtVq!`DFPEIK zYn`~3$fkt|+(sAfhM1Vw64mDMAl7fT;^&Y;2 zN8OBD*WN$xC2?^RjXq2@2UZl(9x+Meh=$n;`{Vw))&;4yI*^A5%J>7~K!O`1)6s}% zI>cj!ofMawmt$uAVssD$^Djg7kgb_a2>M2Suo@7Hn-D*SI;Xlpex$S;L=j1#F3a{C z8Jg9%`^{oA18_KX?msR(-}FH!1FDN*OduTHn){{P&|_kxhp1wR65mjy}~G5(uO z8leADs1?qL$>kh_(?w+n+iZpGIFwTa(h+P0nERKhDs@2}Wmz!l`R%_ey2< zVpvi@#RG?6PFlfk#@6XH=pVJkJmqv8Hp<{MkVtmNXL6y9;h#C>t)pfm5v`ZDCdItJKeWdZq3bh9eRUO48;n_~OEIBK-M4 zB_f9b*a0GgBCw>U;PK@peev}`czwL<*f)@W`yV8sHYXHN@1FV+i@ytpoxO;ZQw!rE zzbZJ36wAy=t0bU7ZRib???ESB@o>TMEqv1e5oGA%7E0k^u;ayxcm`#nvyOTW{I(3f zL*HOa8<4zkcL}0=ZnnER7xWwh8WR!46*R^J1X)Xgr;Ebvh)avA7fUy!r&U3bc_B=b zR*`TRH$DVA>9+?oVf9t-b%jy6S9r$H1U(=BCyO0=asn=Mw9ZyR#SX{crnrTC;4Q{>Li#&R+9{%-@xM3wfdxVNP%u}Nh47gVJpvxuLYPD)U9EZN4ShS+WW6!3h2`Z zER$u{8^b}3`O-&Jt$X5UDxn-Pt&&DK>6W-OfEc8Z^(?&vk@XmIh4k%5R79j_unH~w0iF;|dG0ut*dS7%>*UUB4oL!VI&Os7ZoeYx8kdRq> zN0GQr5a^00dO@qLfSG0e5W3RUmKpG9D|3usT9l$W2Z;? zO4#L5+8>4O0x>|dgcNHi9{Vf=ZJ;13qBi-C`6L?QmPGIaG>5`^PYk_Sx`PWZ!HOqe zf=zs5aBpL9LpqHrV0lOzOu4Eoby74q@s$jF7M&R>njPun*$EoJ8ie0rzu`tLT5;O* z^MT)UMU)T|pZK@+MyXU)_O_apZKL_;A3fW&9!X%UM5l8ZLe{7VU>UT98d5X=#4mY}T)b)qozdq@PWRt;^& ztAYRTe-R6;MJ!r*il{{_pxLd8_$eVL6vhmvoAn}91Y!V&hbPv6y0QWi1mW{Lb^urV zjy0xoh5+}tpyD6+hW#Hn0#b!qm-fuwIAqzL<_x4|!b3nhqPBxShEb^p!7w2}Pha4C zqSd3?n(R!i3DR_?X~7QI7h=mVct?9MoEvebPIIR@=x2 zlrK_Q(AW89ERq_Bi=0Sub6%Pti~*C7MJvoZ@@NG-P@1%NnA(}FdTmG5a))4^uyzc{ zzh#VEKw(hNG1^!h5>vSc6M&yGwWf>#>3xS_$~6!iSOHZb)u~?5H4`{>3~s50K^T3q zMlS!R7Fhk{f6!weeItiuyG~ak64t-H2dti9FL6|2Uw4(qe>SXji7y>~8{9)k#+SkD zlifLq`6sAo`TrqP^td|*jy1?@R5KnjOP~o=P@eF|l(buP%_L48;~d4h1;`_O z+DVNda*7~pkdPa4UD_diBb(*QvmHavCFFH*-zG_fiFsouh#I*b{iLp$^^{|30RrPc z(iMFonN%hzTe^R#VYA*Pj(PM=GrME#DinT)Z1g+&91Hil-A1{<*Ww@Fd&uz5po9-q z093M2u|qrWMxaLvHkj=$FXcjsuq3-pWoDP**Tc&(HX^Lkq>riK-PQ|EeCT!EQArmv zVZ00uaidIcJwSf*zn6&r8)|fP9kNGIK4?Q`!7c`)e0m|=qPwAlQHzf4^Vl-g;JBc$%eNyyMB*bb_aC@Q`v7#dY z#{XM|OjQ4IUrBtDbR8PJhUXGVTPl{W9_wI02YkfNNPzq>NtL?XNeYn3nAJojYpSC; zEh;@6%JR+X|D+*3G|D3&Eq=-T$*`+U8w_aupY(5Q^SYMPw0t;~D-IU9D=5l4w$jo>uw&FJ4UMd_rdpXynt0k+g^p>{pd@Bjbi}d8 z_~xC>&DlC<{M*OfW%kSa{z$y$*`)uPzMpqjhhNT>f8N*qW%x_@!>LVoXFl*eidnt5 zdH8r>t#jq!a@5qI(?Wrc#IR0Ra>HUVWxn5)`f>%VIkQimd9V48?=|;ie>~s%>B}A;A9T%vyjj1ZAqp` za#Q1CNgOlzdlFrRh?woE-Dsd?jW8GTcSshFfeMbrj96BVipn|R-+o)+Z%lPk(9P4X z?PCR?y))9Q8Z}~RQs4Sa@xspw>5&1g;!SXMOMbtNNe`s9_~nW}gZFIo%PxOeCw^rD zS}d&w8v>VY(a?{^cS98DyT;u7a-G&+*8U$)>lY6f7TuBrM}WSaVEC_fU%h&c=*~sw zw*2&EPQjf?&E7!Z?ftC9af-&cdr32UT@ex{gsE0la|UrAeG4^ z>b0GP8??I8MAY(C2`MYeX=YtgMKQXg!z$At_EU{eN-TRY-nH>M$YMnw&B&)#;5@+w z1I590YAhUue^N7HCG8DFTHJ+B9iPbD`(ofJT7||yALWr(;t_UHEU93SQ`no$?*poj zA>`h}&e{iRree6F7I7BRsB z7C2Ex3CHSi2ylqi>?iPJDZQIY5dz>22#Pj-?w;Nxw)yN$!%JB;>U?q8QjdB>J`6Ks zL>>jU_KpiSh<@7aTKxsOE~<-h&{2GNcON+pP(x>4Wyk8GO}WmWFe76{W;QmEfepLv#isy@%t%XUZ7bRB+`|8VObecTo-ECoT!AsoF#D zlYXE3|9re_3ngEGLT;8vye2iLjhu`c27WRdHzuDu_Lq;nf9phdoSR4t5j^59Lr1=IzXy- zNu-p6-mQ&%d&TBd{y#@4kTDZRL_%0*LW$coFl(}4CLR)djQnTILZ-nZSkVmo#Ckvx z0Kpzg;G0f4FRGMujyZkN&30rB8W>6%wY+ zOnVL}Vc){BNBKp7rb5PVm$V7_*zA*>0ED6`(WZ&cnDS(+0uHPwirczHxgnFQJx!}#h;uu*0Ol1ESbh6ys2NS+P*LY%{+nbcC)&-KZ@l>KMOM0 z5))+aOg4!_kT`YIX_Ks4BAP~hxB*afA+Tc&)SxFD6x%71qn^g!FPX(81=zb30j)az z1&k*ma>*nnlhvhFQ3T8bJv>F1P1A@tUm8U#ShV#>?9^{Rb)v4hk>{y+FIKq*u}7;@OX^tTmw9O@ zgWZUfvS>(@g_mB2X9=6)VzB7|1i55j#QK&}BGsmU<*xeIAOFkt4gV|ALgvozr+w&_1o$|1X6`) z=N$x}-+4J<9NTg%>~EU&=*u4{ecv^G7=6D@$_kHbM~rl zgDvhY{1Hl#Z)8d@RDcZO8U`gZbS-+;(@)wJdG*mL(8(E6+quqWacdZ{k~hl}$}7k> z*O0K)J@9PK%ELS!E$;!~YrVw-2JI}0h|M6*v3(H{cM3^2wO%svFy$2C6D|7&d2(39 z&;KU)RzewZu|ubc%UpyeSTd+7!f&O3MM7s-L#W^!!1jy43Edc>ixtm%>SX`N{MAGq z?CL}w9WfOOg-E0d^(WcI+!p<1F~#dkV6ull0~Ad!{b*WV0H{5&+%{M~a_C)I)@Q@*pupdT zH*4>>qIbX4MkLFb+$GI7aDs2)0uv(EbaGW6Bk30(54I|GUrtZU9KYXoGVfxD!8=SnNuFmOn=SN*>e53=R%GbShB;Sd6NK}Xl^zr2NS(D}N=jRDSBe09B7*IJ%duL~oencDv35>6jv1f9 zl-)F?>t8e#w;Bpe&-#^4VvVt=7F1o=Iv-kR^SNDCruU`aabA#Slo$*{zHzB z4JAmKVx`Z#75lyG2<^Wa_Vck_`X|2r07x5jwv@1;F_p}Ed!S7Fj?j~@h~y;|jYuQ6 zmA@wQ2x9b)!5Hb(GZiLdu3pDKd5Uy#@81tsYP-UBa(=9Cnw4vUBK0O4lT`OzQLb3s zwkZtj0c(?w*&ll|!x@aa8Ge$Z(*_i{yf@|^O?sQNF&&v{GaXDYmcVn}1PJWi2qTwJ zb5fy@u|DiKLJ-X6Rk_~-R1M+O)}q*F=st%nhI{P*=|pP3h!FUzdd&8&^l;FI5PhMh zk`_{RrhP1ZLm!cf;}%0eJtfBa9eM`|Kvs(kGYCCfP|6fPN_Zn~18dfL^Vf|( zj~e=mwuQ8xzAvT!(sGARh+jH*Jq5%@5sqVyw&ja!limTVT6>MI_2$AVHhx`g7BXhufAMm*=ddIF_sdzG-JeIO_NHpXf#_Vdnh;hjZ|jPjy#Gh;bzu1U%>Gzpl6z{ntJaf(gDL!xb);=@uUIprZ$N?MJc{>wn4Lpwg3HnH85MWNk=@gV3!?WszZP=PxF<=r+Ks8Ss zr|mZQYOWW?@VMtRIgH>F`Bq z7H8<&fA*^kjEN5Rwc&qU=Ke-k1F%u{quvPlQ$pvd#i!a=?<2yRjH8MoXFx~E?E<6N z_vZL3|3@E6rtphB(MZE+s4#i>;AD1xdM4RX72FU}F-jLttJKpm zoIVH>+My}9#gq8o&g0L3bW~_Ye_uQ0Pz(G@x;wP6$KJ}<*v;*1OeQe;^grb&##rld z3c`f{xEAt%^I|uwL0>Ft5%ybO^`hPaGZn7%ak9QJg!Z`F-^~Qcv@-SZR@isd zi+gNdo~|sndo8b8HCbsfrDC2%a>F1LyNhJ$KI3HIs3XlY%$cx5WN5V75y^9(wtKz9 z{2uqgw)wTLEUHiZza9~Ki|Vum_&y)Kd%XnSsnAn@t)4$+mv3+JE5KuW-y_z#_4cP5 z8*J~`YPmcI3tkbHTYnt^p#Ll2+Mu351DRd-*FxYRAn33lAPE0zc%F8QF0Nj7<}M7L z_I5QI@($}<$lZ)Tzl3-63rnO7))Ul*+(PJQ5WvVFy-Uge5Dy>)7ODIa|9V5D9@AJW zyR`6W7$rWsne5t~ImtF~yox+cqs}b6CJ`b`Ev?Gfusk00+ht5##wDR0NG-wP0cJ3} z$G+Z4?I#20JE3J_p^+OWXM&k0araw&3xb-lstQpxY)T=SnHGIEII@zeS`>ozsbDa* zkSS&ZeqtWf2f!44?;K`KwTdw29nR$DqWc@^{PBY^m4X*h?Tv||bU7TJz^gkC(P`;w z3Z-VDO1#I#lCJrD#hof0kO6 zOd-mQ+(NA-DDxnV=?;rd=y72Ew(3KIPlqz#r9)HKY$?Pus%J%?1jBRQZWCkEjaSt2 zYNlyJf-U&Xc4}2x;0NY6h@YK5$yt^D%oAW606Sjqr0$L!*po0{#^}>99)KlGr;ER8 z)J8vjNtBbn8e^kKAhBZM1j1rtKqP0}6%xWI*{%d)ru*B}`IfCSOtINvz-Ay(+#H5$ zK;;j+$ZutQ2hAJ_u#=BSkG5*yy}ah%Hj?;iu~%uO+tqz;v7wO_q`7;W^!H3Z=&E`i z%_!lFx72Zh{7uiya7Bpr9f3YPih!@AdGhD4l`&HJK_t%H6=nT)ioXgj8rkFXcKdsR zll5HdvceYxVBS-^8nmLa`&lK)gww@%Cb^+FqHte683u;=v7El#TVp;(c2{qn$%ZDV z9}+eB$4uAG{J+f+ZrNz#EK8l_sx0d@!al=zmUG4=t;`uXkw5E9HvlGU))v=vKbof5 zqhXs#N@!%q!|PbrzT#8G-zOTeetdeXgqffc;7Z#oL8p7yZ zA3Qz-pCjOh26|M}`b-9G_<7v?P`pXKysIp1+28K5;^s}1xYl$YOZMU@dx2*i7?TW+f?>&r3{|+D`ZP&ZMX->B2D)lz} z3gfloPPIYri1=yA%lkTsg&I)Z`f$rJtNdQuWF0s%?S*<><1?0^sG64o4dfqs{vD;g zbK^d1?Z(ab?|SFzX}_5gG}v|pa(%n7b9^-S$MfsGdp8m51U}yn);e*%RIl331TDwa zXYt@`MFT_IdwT_8--F7jmoCV1sL3(IEdR)8)6bX4Srz`x32#cG)dF5)rZFoG(K8_Q zN-8HVea~h+SWH=(%*sk$Hpgh9I!(Dpx}9sDHdz!usMELNnr{7bN4DJ<@%0fXx>0g( zg3^&ZD{@HZ?L>Kv zw-6NPa<<8vzn8p}uLG>sqsIR}-MxBxogp-`Je4QqOFuYv>bG9yAI1S@ybl@H zMkNQ#qrFs%jk%OIoSNJzL>3b{%5AcN6XLp~xA&Zeg_Y{WVRpJBk9X8j%c=iJ=jIQu z(WaE+pH-7jChc)hK84?w_0g4bV3bVWdOhbH5k<3I;b8SfqXj4ySgF2s0_ z%#6Yh&x~bQ(O%#Wwg=w3e?ayeFsWYfxcgi_f*v zO3%!f?+$O_T*;8gLO9mzuq=f#T^bjfdYtnJIZcw+oz8Ig7qOLKYU#u& z+vg<8+JA(E2#eN^()L&<=w9Juh)Td6+DI@ zlI2(~3%O{d#b2izOaoyC7aYP-r7Ge}@0v8ml{QeGLm~j`T7jk1)^)ncBgsNKKdhVH zv2Vp~(}}Lz@|?j7$s$w#$|c!JiJKG;52W}iLMw)Z8}SA?7U3P zcOTW}m78B6Xglc7yqqeSd$jq;?_N`%hxmj!dJ6ol*Q6)fG`YgkzRRP7uANv38E4w* ze(qYn^9sac2^wzs@;&^38oaw<&d;EiHOS$cu00>`^}L)UUQSgNhw|c>)JwQ@lCycv&AS|-QSqmOs$jifENdf1S2>O; z;?@k=SQRmA?Q5%0$sVv5t$ups+>P+KI@M}vJrC4hqfI2X`pt2^dGoQs`zx5n-yHil zOR<>8!tB;+p3KFk*c`y0heHz~9z=<_qLA~^$~?cj8Y~F=#4}rUcnAl;o5ES08Ko;l zTw8p0v@1H_>ig@J!I*8}MaYKujC1~2xF3eu@YOe2+d<|J;n&l<%+28QdvE!but%!z z=?W~iC1!B9maca5o6Qr>;qWqdow0xhlqhSif1T_I>sBDgQSLv5s>lsyLaSzh-5Uip zsMQr^{m~~G&y1%m9rbF{8^up!mG^YR`YpP1GhhzYrbLtOZ{UVTf5obU>&(BBxCkAE z+f6&;{$Lru+FHsw&K#3$PIZ3wxDPvVSp@VjZzXBl|LEkj0{9ZM&PsEu4XrJIJqlT( z*|X)uWU}M@YHqUgF`J#jwV|l?NZUnNaylf1ISdJa1pA77RM4SIY8=X^A@tT{H(2Au z7Cm(%xi}NE;qlTJE42y3!wWO#5?~$3_?2kUnTFybd7#HR0jF#Y=U7lf?5=~(`v8D9 zpkZ~Vdus|1pc|q^tCBUFFD9uIIhR(T2Ku3G#~Iu1xaZ{S}tT>nU2M9?_{7-nPW(2p|KsA2t7YDKhXOsh|q4qe*;JGp^b-N*cCZDlkxW_!6=Jn;-=jspl8@0-Kd zM8Z(8T*GUKwV(cL8PL#u+D~Ct&uf31I9ind{w2fdw;V#j1doC#Tk_)=q0XYbZTW#K z>yX4v)ldE)v0qg1r>QEux~zw*JOWAQ@SVJfyAN{$d#yX)w8Fl3ZJxUbqmaSn5Fx_i zd;^C{ZXpjY{NIC|jw+jsayh{5^x1I=1sc+&aSutF&I;1Zk~eq~kN>E&phu@L1~zrU;4>Y=Bov}XC1itONxuWcV!*vY(TP#;`%@YvybR$ zIodvJxm_x-s|qFzgYEIq4tk?%isOg6=A!A37FnCz6flCiB~U`8%6<-PMgz>K>b1C4 z2o)syUH8kx>N%yubuvKhuf)wMI4eQegx>NsjEzUxnWJxex@C~rCWoBvnZblyyfXqx znZTwDgn21KJxQ*iv_soDI@7%gsG$t37z_Q&?6)U3XLp%}W&EcU(9MI8R)%9kK09Tl zxkObF#@^DaXtUSc#?ouVJGM?W1p>X6SQM=(W;`mfIIq{2tRSFrv@K-?&JRLK(_Jq) zSR;rPF(dRRx{iiXg)w^d505#SFtm^D^&A%3t+#}- zteb=$N@&04p5>qxpXJUR*_KaAcW6+{;l9b-o!w6Oyu%yByFEi31-yG3rdd;^0%97{ zC7xW>+__D!;g6RURq^g@;LdR5PL4HH;RSV=`O)^YT%RKu;+{Vj2cd`cdF3BW8SwIQQsWqfB%xm@Y{ZObD((m5jp{J&kMG8DPLkntj?Kmdf7SbB+&B< z$B=+E)7pE+vEL3CGlMbF)(B=4=~^dLvFpZqGyK3|$EX65tIQ2vPki71Mc zSY^XwqZ?-IoF8tC+@DKa%dTEcV{?+7g(=EXqHLy~uRFhHeel38iPVao9QeMG=&Eqwhu zB;_<<`H(qI;iz67=4A6rDza^(xK7@+dY6zuaRviN#@ox1Nb*ENvT7~zbn8b3_pxLB z@N&AKpuv3U18HTrCw4eR(%A10}mu4!p)G-@f!BUzr(4nto=c5fe%PmMj-X3G5!Ri$Y{@j%OhC z9e0c70s6sE_sy@u{pKeXcCl-j1kRK(JzT@>4H;yQiFA16d>27nu7(ogynV$jf#-{>Jh02N|smB4bLGTkuEL?PK zGu_o)+NI_^qXgrJ>t4`9f#WhrV3qE(q-)aI*eTb$Op=GItTXac^NkUTSRkqqk7Hxd zVzQiv3kCB5528e7M==l57}`<0jo@J#4S%)gN-xvJT@w!LVt9c6Q28P*9qBFPgzYp# zqldKO_Bkas#A11^GUbZ zKitfVAxI!4<@jmuQG^%dWeIhU*uhTtbAGKVaeOeEJ?mHOAo2-r5C7e8b(0^If=wHL z?Qth7tbN>T`*shpyGKMt>*60mnmdr)S;8tmU)$^j0VHdoKyPGMSXC~-$5$x}VfM$O zU64kx8w6UcD8A>tRvVG5>xVU~#1-fkDAe>Qp?s%rgJx4}>c%90nDn$>7+mnWfh)S*u` zpEiiM>6~hWW+*RlF0cBf5kDJ#-lV5qQBfOpn@D|ch?xDA&Es1l`bpy^nn0UOo15X> z*XIcEF%1O6YX<|lLc&t7u(#2R`}GAXX{uy)4)s9Cdt6AXr&dbpesG=*CjxBCiV+18 z3OU_^D>fNF1FPPuv;C&J>A%v7?M96hHC$Jktdue=1L$$Vv#hJ(KG%(gTEn%+PX?t< zOiOSnmGn2q{O8w;5fp>n?#ZjiNhFqVC{yL<<1HIB;0$n_?;hK)5BFo!ow3PU7QxO9Vqne*yDA&(CsN^|T8k=7 zE+w9FKVAKT`TB8Ozfqh0JSTBz&5-3YtcpNaR!QR5-* zEsb7O?^Iv{t@0G*UU>V#KX)OYyY7;g0sfacE=T+Z5fr7-O2WIS@h)%dg5l_74B8^{ z?_tVN>kC>#j7*(6UZ=^(x;WPb=2+DRU(8?%vG1p^D^=-NtQA=^iVYBhrTOsE3_ZIu za6(KON|46ejSID8vl2y$7nr^DNsu14p=2-+n8|>nLYoFeKuL-q8d$N6$7Q*jN^OL* z&>g7ax6SjMtkOor#1%WjQ78N>|D?0=_{d>~>YQ#;RNG3NW{*czr}|p+KsR1~q8Y9I zXyk~?e|>N45Q4|WW*Y&sn>k+Kyz(OuO{UdhWtp4g)_evB;<{3=H}ztdY8|Elvst;k ztwlg>*010J%PWmojRxgWZ&Rip`)9?a1*G4?YCAfdGZ~#8E3O3w`8P;Oi2l5CRf{@5 z`=yBcaer&^d*OuAn?G@l&nlZ`I(=(Z7mYs+Ux~Z z=LM4Gt6*y297>K;W8}oloQa#GrPsEqR+j)|oELOfy7uC&DNhT-k+gbtB~1@)#U6nG zce^Q8lS5>##?5^ZwebxJOw<3QH=u9drdc-`y}E z1+QLeLZf47br>}qQeHh3d{vqL=M7OA(N+kPf`pe-Bq#T86Bytp6MIpKdDhYOz7nuy zSI|QDvq^468*}F6K zKPdugj7#`mfn)Kt=iSg2qlWKQ!GsX|!WrYy?DP;aWlUoxnqywA=@uyF^TCySG!Q!O@koQq{35H``wv0b_yf1{e#uJ00^V~y|lF}u^ zz@=33sVLt%bn@1x%9E}wt`wVmxGzZ}kWg}4A#im-{xlj#IzPNi%|rsFX%8%$5jUA= zB4rMXcF!T;thwF*g?8sVbtZtmlaEjsqSu|m`5Cd_tW4D_G_1- zhX>x8CsN!h@=;!VcF6G|gkK!**nUxoHdXhe!o(!Poaax6fw@pY@OAMo#_a6$JifvM$1##| z-aO6GD-C)s z-(XiNOs-dvt?LAsw2K{%>-;tMg}A||`Cfa$M86xa$zpD$X9UFrAOVC*VIGrSt=}In zY*cu_)2ezPkCFY*gsdOvk-t6oSxFcSxn%Riy-^eBtaWyuREVv^g~sNtRaLSo@$5+Z z%)X2B6Y8#$hQOh^3~p%LCN30d1TKTa&cS1%PNZ4oXl;)_RnE;lnP;TV;r_n{j(d{vezssc}x^9-bJ&Tl*O7aD%jKj_DxmAs? z$l`lAIAx{%jRT_^G-ajNpCj`gG3vCqKXG`j#H}Rw+riU?m4p4?8o(>1-uh1H%))F+ zR@{T2u)df@-Pk2pSO_ZJxjBnh5KJRx5b&QpHn`&K7U;0!;DFtL2he?#?(QU8=K^GY zcD9@s{HjMYD*P(eq26?m%#$jG{Ve3@wsN1yQEp%S%gh1v;8i71^*NSymVQw1oHPir z{OB}~Cq2K@ub=TWX`SUYPMk?p>6^*6mGw$3`0shqBtVZ|-!EnAPY~rruP7eZfX=eA zws847-9nUgUVvzXQl!kHy8x=V$~v+u`mb^dNIzfbdnPQg(Q=oLeW}0ho`^Kh=5!EH zoCMC_&_Bv7yq=Ag!-WPgS69oWXaDKqe;Z@7-1hxQ|9U=( zrFM(vWUn?^@9I~tI=on|vTyq;XqMKrsLj5cTvB^h=&4-p_&x6}-Nw^BFDnXZDo`6= z@AUXE#=h;F-OXR!I~f8z9){<)J}(Laz>Rz!R%NEc+~%6vg{42V{;rIhwwgzKMO}K? z1;hGI{4j}{MGJ%5{CQPr<<$CtS4Yvhz6vJwru}&A6jhJ)T9^bK4FB4@ntf|*OaHq!`7k862h-^7>Ty=!bztNO z&F?)tJp8W1V5x-pfnVcB&!KJ7%j6vQ*k1T7%i?2zBV1A~LJAURJ}6TzQ;kyiGBV|b zB_)VlTc`wGZAQ07zBc{u<6sPo)6~05e+W@#11+1Ka7u=waN0q%u25ybytYPm8Fh3S z`_0AJ=Pn@{=uzVLTPCja;K1(yd&YHf8t{~iA6ykFF5gI-$T6mL|r+RXOP$i8OBDHj7#p3Y~k?JKCdBx`6OHzo92)_@m?#< zZ1^eDm_{bNHi3~+uTYG$j1C3vLZl_aQ7e#s^T(eedb=Ug7HQ4e7qSFEDVGlA*!@@K zHz!$lTpN=&T;m`|#;Gfo94rEdGn3jg?6)d9`P2-5;)XJ_>~*U7EF1INv}3qgcGedC z3;XV|Xy@m|Tal0_NWaHpuP<-TE;&Rd)I!d#~mD>>F0gw7ch1p3m*G=;zJF z5j>mTp?vPfX|S~jwV==&jo4}$p@ph_BYi;N+-*( zk6LFLrfXIl=bIOZ%71N#jxrB*+IuBs)r5F+@%-L;6M6RhCE#BPjNRy&%F-0#m^5e^ zO3x&_za$RLlA;5F7Zrs_s<_s|YmrjBG@PGE-PA6f4EQrHzux0If=1XpvL8CE?6?Zv zhD=BASORs#0(?3+#8Yw7E64Tc69@>GAy9CB7DQA3^;bqC z)C!G5^OY!BnKM5EK=CLtXcz^f8=i@rceW7AWMUr`?FkJTOvsQjW5w1HPFHLVStNOU($NaLw~kd7n%ze3J48V={(_i(S2>>7B4@NYO=)POwVUAZn0^UKUHZ^8ep^?(g3F;?BI7GiRRXc{S(Ena_OZ zdsEAII(RQ~dD1d;|IJ2yIcebB#0iS<3!Yk=aO^5PL%PylZ9yB!Ne5hyIExsoYQ6qC zwmUhbXr`uE3G=k_Q$xY0>#YUHw*nAyN-Y>jBPR#+w#d?>vW3VrFW^J7I9;}<6juyN`Xe}p!kRPk8J%uC(WmI5&*bH~;(Lx?E!+PLOzb+xM+ zk$XE>MSz!stR`wvbjKLO^$xe$zip~W7!4Iwbk@7n>XkckptB=7HzdVe>Lv|jrH28#E{dy}Nv{U2+fony{; z!;slRz{%hz=qt|FTR*JYmya3ARYj?rn_7z1SkTY@)Z4C{KB4B)A2Ep~{#-cuT=VoW zpKk$%FO_}~1O;dBYT6w_iY?@~ZVM67w31WSk1QVAI*Rg%ubCwbiV z^dE;B*moZ83W@n)lq446qrCg9iMS#*gJ-`C^>f47;@K<^r@@q`+_pRu0<@#u7`-Vx z^4lHiWk~?iDP@jIfj!x34dR^fU~r} z-o7G#Xqv;QP3M?az7|Sf{ca?#S+wuWM~LGwx_!|lDx zaY!5Y{Mq@=+{5_1T1^^y0y^#*jb_l8<~WRU)}hUqRZ z4GpNor)8OKt6Ee+9HKk8Lx~!k`nB;2?PL`juJ438)!f_zlbE;0PsXU9@=wO)5naB| zubr()9rKoTT&R-F=gg9J;-*sGjjaxCvTml;I2ayF4dxi{#LNiwT05~ks~MceXZGx; z)_!04;e|gcw!X+wug-ay2fbuYPDx@^ml`;TskinpDC5&rG^@^i9;ux2gwIq@E0LTZ zq^rw3!>ym(pWHUZVUUsDbwEQV=9U$!>_%%3DESDE7man(>a*zqo3=J4J4Avg2l8E1 zdr5-20|~Y57^aH)+rV~wrAE+`2JbE6?{z9cXT(_MqIxDAVE|!A9Qn206XdJlg1%2(VztldOzIqzCs@l`L$-Hl=a6$nDQn;^U&v%JHq%ZO`$w>H^bISmK zavYQ6_b9;Fev{0)+Ki&AWflk%N)i@V;4?+zx}1TrEcbNJDLp>dqb_oC`28&hd^~s_ zqlu?zn0SKd3@tX56VN$wPwrZ8{bUIwS^yW?P035~k~dpif^#FimvGY)*|=o8$GtxA zpePdc6(0fAo3k6o>%i#2cR%vj@7fA04?_O@_~?oCiRyymEP{1JUyMvZ7X`rjt|ykn zza%iiVPADRV~uO!APBY6XFUpP!7Xe5%DC;cm7&#r8K`2j-q0@?e7DS!c&C6@iws%E zg|x|(_M)~*d;h>!7c>z(TY#$yn94E9#E~c)!4?kk?l_kS3Y-Zha(69dop+tBqVDWQ z2{beb(Z!c9ULB_n*YGldo$!6_rR1ZoYD}?|8}=NK$d?JFQ^*>-z!AF$4YDJ1vn~vc zxB5wp^^j_13hr~rS%|Em{Ga=qrC&{D@6vEM%~+DY`kslbd7l6?jQ~ZCs8Z4`#^q9_ z_uS#EnOPCvM*XA{W9}>%N=Anfo%_=xQ0f(3VMgP?wAPj0?oGz{d+qFvWGY52nA#Hi zB%3<}EekD8Ww6kRTaQ`j_S#TQK+A|1+qV?cWey5#3KALwTO1X`Mo>k?N5bg_t@H;k zx>=6d4t{>A5ocxVm>mE?-)!w0&gOT3sD0<*=Mqhl&MP-5ieyj?=!i;M-;0uhgv6Zo z=E(k9v<~#=zGAdqMU>D-1>CD0OrYNrdYlYDM}>|@ z$y(n_A%{;3Atf*dL`Op(W490RsYOJq2@$H{WyjztjVj8=M@#qd&^LdXP=zAXbp?7F z?#0p2%sRJ_;7@AV%Jpe9rM_DQDOqPy419)jB2?Ktr^qKP`FpNIu3GeBn8np9F@zlt zo5AJ79*MJ{2(BlPc4`ab&$?%84D3vGQ+&{H4djIuKcDL&H!+<&8eBKPV=x-fx$~;*I5B!_W^t3FLj-4G0VxP z@Z#6>=DvB9LZ}Kf7gl_()|If1X7QU+RIWDgqRr+*^hax;Z)i9|tb z3#7b~vrf9vV4D{BA~Q1xr&gZlEYP`;FNkWk^SxK7wz_l+~;t144ShFGTaOp$KcpjX3fFz3#hiWvn|q19G1S2_y~v?EYLu$oXjOCL;5LXUQPlCP~&)yS@P#APK7hA-E-=i~s0E zjTA-=@sN_Xy^lXfqc1c=F@|mjMq?}i5WLJXRu^4UAS78^8oeV*-B>Cu=cJn0dQMaZ8uE4tMR~qsTXN&Gt6{XWHD8P!|4@k? zD(~o-B0kx==nCG@0dBVT?*ev(BL=2)4 z?sU+y?bEMlbOjiHRi)}0pxgt#1qJPEm3jT!eCwvLHp#zj@e)Nt|LMZT1-tqr4o!Ln z6A=2}((WtB_Mc5r`X55?BrQ?qYyVTE`d@K>#{#)4$*SQ0!FB%~l6&)C#r{8dXJ$l1 zEOsS;B?kbna(Mv%+7v_pfG05kaD@T?(R>jAzyq)QX5LE6xZS&iWZ6$_u>%Ti%XFNii8410>z623r-8= z_Ws^`bKiU4AN$RmJu^EyJG--I%cjus%$p{#F+-rj$n!wr0Mfx^9YGrw81S6M+sb z+ogCq-myASqFr2p7ZiExS-HFUYE@2#a7_`Qi1jPS@UGj3&lgFl$QLZ%u>m5MPFb4m zXiAn=EqVTq;8J^{qq^uiNF*dw$&!bbw>wSH*aSAVq%69d)TNBO!%bt`z9p%p@?)`1 zUz&9Mc}+yP$$1C;?BP8{XWoS0x>;AXc|_n2r3pVqwex(C*WEm>1{050h?a#N&n9X^ zPe9~4klc-t(fGn5LAP$6R-ugXfb9`aEjko;=vo3BT*V@(-s0Hc6KKQUr`K{${OSii z&Co!inu1vr2p#ta=jPNklV5-CMprA~bKvG|}5?U*b9r?FJ? zbQ=QCFUTo>e+hcY&x?dhPidQ*qE=IPmqXskI*QtQlr z5kfHDC1UdXd2o>E@L`;vNwv$azqMUYaF~k+i)t~>e0{BBLVA0V_h{jPCW4*}5S%8l1 zz)PXzs;9S~X~j;0N+#e1HVDbOhoM_TJh%AM-`xh~^`f8sXNhJ~o9)g_XBpNb*7wc(WDm>e?~?<)CcvLn>d*4&4)*)SlF!};iNb-z*N z47{4D%!|3b_o5XDG1Ahw5Djgka-*CB6OXj{;NJFg()WZXaw^P@t2;=(iLIBoX85Yp z5--g@&Vc?~4b(I6Ye#3dY|~xMm}H@fATS4~d+NG2Zgj!p^`|NlKWZR39*Kr9U(BS|Up=SQz1x3Ha~YXnQDR zmqfn{TYGaI5~vgKE$n+-iiH~;PA%=5(|pcGT^vkVqTqr5;IHor;G++fTRDAt_l@GN%4Yo@9l)@T&# zeNP18@*e;I@c8(T$pGgdlUD>tW325*F*0tmmUt58F|TAvRS!Q|K38)7ea*b<3|<%SIR=LfAd0dQ`s)OGZMk@W zjS?~tFV}G@|5lIjbKbtoqJX#SJ@Xx3^hqqgKWr$?CF9iG?Qs-*iO$!)9rG=ekl1g@ z!`*^af0q;gh@%<%`~2B`D0#E+)=tP@2PrmAjjEtv&GLjGR?Kh{L%QdPOz?h-l=fCm zwSzzoP_X`sD!8Zfy;a@3a`r;ZM>NOMNij;^>D-_ril;rxWhCXx8LLmbi(k;Xa)7X@ zD8;tCjdZ?*PKy;2tfUS(*s?Ecyk?scb9?V?3&(PYISK1K2&5v2=MM)^97b7&(OnpSa= zCT6`U9l!Q_sYQ8l71af9Ka=xeYBNYosnP9~Ah~aC7oM~E0W8p~+>lY<$uuF%hIDF# zJJ1#7W9|3Hr;#v|@uV4A)JIG>6%&sJg_fZDJ9}PANRQX_;#)m&!T8pM0G<(R@O_U` zq2f`Rng^Rzi{6V742GGcK6z$afh%e}9)DivMC0+4GzC=LiGx>v%i5t`Kl0s0ooH0p zZ{r(RgKO7J9=7!=UGDSuem0-#`wZ%0w_nQ8iZ=AF8c>DM9`@pUl##pCc00(QEOV>N z{FLj=Arv(n-@l8oR(9!0UAf&-B_MBR^%nD@WSarkJH2vqqzYLKrgce$Ym#cybtZh= z1Bn1T2tHT>tqA_6V;hQL;yM8P3wzyi@&9-Yzq~+me&xml^e_wJ#)t=kMzSF7OD_LLbW7gzR=Au01u~bUh(44A(t%%I zf{HXxT9b=2n|EExCE!qiF<<4-;y2Vh4Uu4iT~;t81#^3HE_dpxjq^aJYIs z0?$8WCPx`i;ud>a=t>p6bY7(4qUSqI;pF1}%+E`d-j;sY$-Xb0;u-NU_s0yLRW{(8 zJ8|Z;yg2tK8D?VhC{gOwV<}+bo373kF86&iz=BvFoV?n4ElU#@lmB`Xk3k(~A>C+(p~>2~(rPdT-j~ch&qu zTZ#vq#(|W+flU*JzZqo>(9&qqWq8}+*pg0+MttYws_aPKY5FSO?vk;6&PE7i$954Z zwb!s4)w}}-c&f_e78w*ZD4zX^@Z1b|4IJ52N;Ejd3c?rO%F)Min)T`jBScfnBHx}k zM;@kpr&kWpFGyrirzRDetBl-h0g*>LeN3#f#p3lLWC&`)Is2Al~}u!MQfQqH1*J@Lt_ee>#z0A zna;p_jA#Rk8jQVU?sU!Ii($z`ODN@1lIB?*AkHY22~N0v`@m{5k0a&OxBKPomF9Vb zX*<+Awm*ORG@$_=$Mtd{VZoPYbxkpMbNf!X_7?O7Nmti@_TpITJt5P~Vn1?r9%@tH z({VjvA`PNvF$RWyby39<_}L6`wl*;^%zo$ zDjWZTzvSYe?#~Pk$*>RfJva!sAZ~-M?x93v^hyP|bceZev=4weI(q5F>ZO6Ag+Tsv zR@%3EKe`r`$WaZcj5G(bGR-P~bCe7?SDZ z0sv2_(tAYd!LQalwmT{N`QZV~iBvEEn_e~h?Q+l4 zGWybyauchUSiuWDy{|~vC3W9Gr3ZC!a2Yh7k&w*H1oRKLk__+~wmBG}v zDorOxk9tuT4}dwz?^Bf`z#rp*oZoN=@@`c9SyviCEGBaX?+gSVaA!c1y4=Z(G@Euj4A;sogYR~HyyM?j_W|cdK9rmi(_*Ys z`$dYsDi}mo)1wrK>5RQeVT#JFqjQTYJmU`BU||l>ZiMM1CY?UfoNlbQMDR`4X0?c# zRv`X~rFT=bt0fk=!Y^XT6ev^0_w8<}WcxAhLNMJ4cc37r_paBg=jLTOZzUImW#W)J4Rrcg{{*Ly6a&joOjvy=Y- z=#KGdR9);G$S=goGZ@}Gy&(|FomI@ei%PE(lJ8m&T<+GyAfuthm9QJt-{3#p{5 z84?Ur!CqPmEy!m!Ah5Lq?TP(lh=n;r*s(syJ?y5OODOJm%+TjovJYju*cI7JM)%va7|Y- zwO{VUx6;HDngp~oUQ-Cz`;jQ4dP?f&q?;YOa3u4{2qz!Q)p)@90gqRz5PUXMT?qaj z-KQ9W=3(^9-E)~o?gm=>xwKRXw9&2!mrQ;3gp8%gsC}e)p88`w1yA701yJiF+*=00 z3X1Q*Qs+^pBZwR`YY}lkyxToWm91@wEHD(|3*e$zodS`F{5Sze&<*ZHJVWcrN7)h- ze-rFpK1MxF@`z1JP`I7J{Nf%n0A;qig)mC_cT(@ysjxY?Jbf}#KqL9WFlaAq(X+?n z^>H&ikr_JrQVJYG;TT`16odlJUdP^>T0pgYPTNS<4J^xO_xe?~8tV z1>8RuIVbHCE9g?)B-DM`nddoec*Y7#n@(fQbia(xR%%>+X+PoznO!~$DT=Nmarq;v zPWnphzU!kMS;2&8=jV-_6DlfVe-`6(5Ods52lM$daszQ4t#9R|m#J9xTY$jg50M-z zD%!c2l|1y|#@peuI72S-H4K7Hm)u&GhP){!s64wp9qv@Yapf`oIE!KL2vUA4&wol( z!2#_lUUNam+pi_{jV!p@RejUt2l#Lezk;&9_$8KX<J?e&Npv#u%4{vt9&M<_eR04y*gVVFm5Bq}7ft;nLR?N}^~+qe^K$g#P33wV zbKDC6?JX}Nfilxf;Et$JgN5#$4Q8Z13zd5e6+0?(kST_og9778LW5;-bP)SUdwt|R zKRyST1oCM9R@msW$`|iOo_irU?WxpN;X4#Hvj3xFjJuNARo5UCQgU9Ij=(0z^vc)~ zLeJEO(kiYmQ8%NpR9owGMoXAECzK+P+tgLkMl{Q;DXzRVhxQ+~N>j+(E)AYb9S}lK zOHW`vFhyowhp;NI6A49VKuFkQ3$g=NVQCuev+=o@=zQE}!$>D;Ht{&uZTu=Lt+!(T zg0)kS>j@Q=d)L}&dSZ+5D$ftz> z#J`5S^KPkjupAFSP3a;h-j&H-$j!(|T0eb58TQUksTSQ{BZ2j$woi#aR`8FyEqV$` zJ<6&~(92>ri8dfVzqbSK9M#i$F`GUBHCCE;bT0aFpE#x+^qLu>6{(E%wzj@pjsbj3 zOg|yFPki=Fr?ClBPx6XFd~k_SWu8rvKK17uh&Mu*kW&5Sk4@nCS;}Hm=E=-E5Upgz z*^4JqS8t(i(^7A}mnZJtWzn>~yx`#az!+#b)0D$6ueE matplotlib.figure.Figure: """Plot the confusion matrix as a heatmap.""" confusion_matrix = sklearn.metrics.confusion_matrix(ground_truth, predictions, normalize="true") @@ -92,6 +93,6 @@ def plot_confusion_matrix_heatmap( ) plt.xlabel("Predicted") plt.ylabel("True") - plt.title("Confusion matrix") + plt.title("Confusion matrix" + f": {title}" if title else "") plt.close(fig) return fig From 52a55e33bbac62c908e14fac97905a5748199835 Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Tue, 14 Jan 2025 15:54:44 +0100 Subject: [PATCH 04/12] Merge the 4 smallest classes into VARIOUS_TEXT: both models improved a bit --- .../VM_document_type_classifier.ipynb | 1815 +++++++++-------- 1 file changed, 930 insertions(+), 885 deletions(-) diff --git a/research/document_types/VM_document_type_classifier.ipynb b/research/document_types/VM_document_type_classifier.ipynb index 661faac..9c7edaa 100644 --- a/research/document_types/VM_document_type_classifier.ipynb +++ b/research/document_types/VM_document_type_classifier.ipynb @@ -39,6 +39,11 @@ "# FROM_YEAR = 2010\n", "FROM_YEAR = 2000\n", "\n", + "MERGE_CLASSES = {\n", + " # (classes, to, drop): replacement_class\n", + " (\"RESPONSE_FORM\", \"SURVEY\", \"SYNOPTIC_TABLE\", \"VARIOUS_TEXT\"): \"VARIOUS_TEXT\",\n", + "}\n", + "\n", "CV_FOLDS = 5\n", "TEST_SIZE = 0.1\n", "RANDOM_STATE = 2718\n", @@ -49,18 +54,9 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 2, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], + "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", @@ -124,7 +120,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Starting run: delicate-hog-125\n" + "Starting run: casual-squirrel-344\n" ] }, { @@ -166,7 +162,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025/01/13 09:21:53 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" + "2025/01/14 15:42:55 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" ] } ], @@ -712,7 +708,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Define the target" + "## Merge classes" ] }, { @@ -720,6 +716,61 @@ "execution_count": 10, "metadata": {}, "outputs": [], + "source": [ + "def merge_classes(series: pd.Series) -> pd.Series:\n", + " series = series.copy()\n", + " for old_classes, new_class in MERGE_CLASSES.items():\n", + " mask = series.isin(old_classes)\n", + " series.loc[mask] = new_class\n", + " return series" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "document_type\n", + "LETTER 3084\n", + "DRAFT 2898\n", + "REPORT 2153\n", + "RECIPIENT_LIST 1770\n", + "FINAL_REPORT 1747\n", + "OPINION 985\n", + "VARIOUS_TEXT 519\n", + "DECISION 0\n", + "LINK 0\n", + "RESPONSE_FORM 0\n", + "SURVEY 0\n", + "SYNOPTIC_TABLE 0\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_input[\"document_type\"] = merge_classes(df_input[\"document_type\"])\n", + "df_input[\"document_type\"].value_counts(dropna=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define the target" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], "source": [ "y_encoder = OrdinalEncoder(dtype=int)\n", "df_input[\"document_type_code\"] = y_encoder.fit_transform(df_input[[\"document_type\"]])" @@ -734,7 +785,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -746,14 +797,14 @@ } ], "source": [ - "empty_index = df_input[\"document_content_plain\"] == \"\"\n", + "empty_index = df_input[\"document_content_plain\"].str.strip() == \"\"\n", "empty_count = len(df_input[empty_index])\n", "print(f\"Empty texts: {empty_count} ({100 * empty_count / len(df_input):.1f}%)\")" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -776,7 +827,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -791,7 +842,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -813,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -822,7 +873,7 @@ "1246" ] }, - "execution_count": 15, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -841,7 +892,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -868,15 +919,15 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 11205/11205 [00:35<00:00, 311.94it/s]\n", - "100%|██████████| 1246/1246 [00:03<00:00, 322.84it/s]\n" + "100%|██████████| 11205/11205 [00:40<00:00, 274.15it/s]\n", + "100%|██████████| 1246/1246 [00:04<00:00, 281.92it/s]\n" ] } ], @@ -897,14 +948,14 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=11204, new=0): 100%|██████████| 11205/11205 [00:07<00:00, 1546.19it/s]\n" + "Embedding (cached=11204, new=0): 100%|██████████| 11205/11205 [00:08<00:00, 1317.88it/s]\n" ] }, { @@ -918,7 +969,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=1245, new=0): 100%|██████████| 1246/1246 [00:00<00:00, 1580.31it/s]\n" + "Embedding (cached=1245, new=0): 100%|██████████| 1246/1246 [00:00<00:00, 1333.29it/s]\n" ] }, { @@ -950,7 +1001,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -974,7 +1025,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -1404,7 +1455,7 @@ " ('logisticregression', LogisticRegression(max_iter=1000))])" ] }, - "execution_count": 20, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1420,7 +1471,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -1430,35 +1481,21 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" - ] - }, { "data": { "text/plain": [ - "{'fit_time': array([1.40215492, 0.89028192, 0.95010495, 0.95532393, 0.82745504]),\n", - " 'score_time': array([0.03410888, 0.02052212, 0.02562094, 0.02006793, 0.02037692]),\n", - " 'test_precision': array([0.94604148, 0.95137891, 0.94749069, 0.95067906, 0.94861341]),\n", - " 'test_recall': array([0.94957608, 0.95403838, 0.95046854, 0.95314592, 0.95046854]),\n", - " 'test_f1': array([0.94739411, 0.95250867, 0.94856175, 0.95127688, 0.94939214]),\n", + "{'fit_time': array([1.4788003 , 1.29699993, 0.97675085, 1.10702181, 1.1131587 ]),\n", + " 'score_time': array([0.04615784, 0.027035 , 0.02268004, 0.02583909, 0.02465415]),\n", + " 'test_precision': array([0.965921 , 0.95633392, 0.95940422, 0.9543138 , 0.9549604 ]),\n", + " 'test_recall': array([0.9665328 , 0.95626952, 0.95983936, 0.95582329, 0.95493083]),\n", + " 'test_f1': array([0.96613428, 0.9562632 , 0.95939258, 0.95448405, 0.95486834]),\n", " 'test_pca_explained_variance': array([nan, nan, nan, nan, nan])}" ] }, - "execution_count": 22, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1499,7 +1536,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1507,9 +1544,9 @@ "output_type": "stream", "text": [ "Per-document CV scores:\n", - "Precision: 0.9488 (+/- 0.0020)\n", - "Recall: 0.9515 (+/- 0.0017)\n", - "F1: 0.9498 (+/- 0.0018)\n" + "Precision: 0.9582 (+/- 0.0042)\n", + "Recall: 0.9587 (+/- 0.0043)\n", + "F1: 0.9582 (+/- 0.0043)\n" ] } ], @@ -1532,7 +1569,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -1552,15 +1589,15 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/13 09:23:55 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", - "2025/01/13 09:23:59 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + "2025/01/14 15:45:05 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/14 15:45:09 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" ] } ], @@ -1571,47 +1608,32 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.94 0.93 0.94 259\n", - " FINAL_REPORT 0.99 0.98 0.98 157\n", - " LETTER 0.99 1.00 0.99 221\n", - " OPINION 0.98 0.98 0.98 87\n", + " DRAFT 0.92 0.93 0.93 259\n", + " FINAL_REPORT 0.97 0.98 0.98 157\n", + " LETTER 1.00 1.00 1.00 221\n", + " OPINION 0.98 0.97 0.97 87\n", "RECIPIENT_LIST 1.00 1.00 1.00 158\n", - " REPORT 0.93 0.95 0.94 193\n", - " RESPONSE_FORM 0.00 0.00 0.00 1\n", - " SURVEY 0.00 0.00 0.00 1\n", - "SYNOPTIC_TABLE 0.00 0.00 0.00 7\n", - " VARIOUS_TEXT 0.62 0.62 0.62 37\n", + " REPORT 0.92 0.95 0.94 193\n", + " VARIOUS_TEXT 0.76 0.63 0.69 46\n", "\n", " accuracy 0.95 1121\n", - " macro avg 0.64 0.65 0.65 1121\n", + " macro avg 0.94 0.92 0.93 1121\n", " weighted avg 0.95 0.95 0.95 1121\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuMAAAJwCAYAAAAjj29JAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/GU6VOAAAACXBIWXMAAA9hAAAPYQGoP6dpAACsxUlEQVR4nOzdd1gTWdsG8DuhK0gVUURREBClWBGs2HVXxd57F3tDLIAVexe7YMde1t533VfFiihi7wooRVRE+vsHazSQKChhAt6/95rv+nJyZuY5Z4/DyZMzE1F6eno6iIiIiIgoz4mFDoCIiIiI6HfFyTgRERERkUA4GSciIiIiEggn40REREREAuFknIiIiIhIIJyMExEREREJhJNxIiIiIiKBcDJORERERCQQTsaJiIiIiATCyTgRERERkUA4GSciIiKi394///yDFi1aoESJEhCJRNi/f/8P9zl37hwqV64MDQ0NWFpaIiAgIMfn5WSciIiIiH578fHxcHBwwIoVK7JV/8mTJ/jjjz/g6uqK4OBgjBw5Ev369cPx48dzdF5Renp6+s8ETERERERUEIlEIuzbtw9ubm5y63h4eODw4cO4ffu2pKxTp0549+4djh07lu1zMTNORERERAVSYmIi3r9/L7UlJibmyrEvXryIhg0bSpU1adIEFy9ezNFxVHMlGiIAWvVnCh2C0oo9MUnoEIjoN5GYnCZ0CEpLzBSkTDoawnWMVqWhCj2+RysjTJ06VarM29sbPj4+v3zsiIgIFCtWTKqsWLFieP/+PRISEqClpZWt43AyTkRERETCECn2g4CnpydGjx4tVaahoaHQc+YUJ+NEREREVCBpaGgobPJtYmKCyMhIqbLIyEgUKVIk21lxgJNxIiIiIhKKSCR0BD/N2dkZR44ckSo7efIknJ2dc3Qcrp4iIiIiot/ex48fERwcjODgYAAZjy4MDg7G8+fPAWQseenRo4ek/qBBg/D48WOMHz8ed+/ehZ+fH3bu3IlRo0bl6LzMjBMRERGRMBS8Zjwnrl69CldXV8nrL2vNe/bsiYCAAISHh0sm5gBQpkwZHD58GKNGjcKSJUtQsmRJrFu3Dk2aNMnRefmccco1fJqKfHyaChHlFT5NRT4+TUU2QZ+mUjVnWeScSri6SKHHzw3MjBMRERGRMPLxmvHcws+IREREREQCYWaciIiIiIShRGvGhcLJOBEREREJg8tUuEyFiIiIiEgozIwTERERkTC4TIWZcSIiIiIioTAzTkRERETC4JpxZsaJiIiIiITCzDgRERERCYNrxpkZJyIiIiISCjPjRERERCQMrhnnZJyIiIiIBMJlKlymQkREREQkFGbGiYiIiEgYXKbCzDgRERERkVCYGSciIiIiYXDNODPjRERERERCYWaciIiIiITBzDgz40REREREQuFkXAC9evWCSCSCSCSCmpoaihUrhkaNGmHDhg1IS0uT1DM3N5fUK1SoEOzs7LBu3TqZx9y+fTtUVFTg7u6e5b1z585JjvPtNnnyZKlzyNp69eqlqG7IkYGtquDuNnfEHvPAPyt6oapNCbl1VVXE8OxeC6FbhiD2mAeC1vZDo2plper0b1kZl9f2Q+RfYxH511icW9YTjatbKLoZggvcthXNGtVHtUp26NqpPW6FhAgdktJg38jHvpGvIPfNrsCtaNWsAWpVd0Dvbh0Reuv7bTt14hjauzVHreoO6NyuJf53/m+p99esXI72bs1Rp0ZlNKjtBPeBvXH71k2pOnfDQjF0YB/Ur1UdDevWwKxpXvj0KT7X2/ardgZuRYumDeBS1QE9u3TE7Wz0TduWzeFS1QEd27TEv9/0TUpyMpYumo+ObVqiVvXKaNqgDrwmeuDtmzeSOlevXEZV+/Iyt9DbtxTWzjwhFil2ywc4GRdI06ZNER4ejqdPn+Lo0aNwdXXFiBEj8OeffyIlJUVSb9q0aQgPD8ft27fRrVs39O/fH0ePHs1yvPXr12P8+PHYvn07Pn/+LPOc9+7dQ3h4uGSbMGECrly5Inm9Z8+eLPWWLFmimA7IgXb1ymPO4IaYuek8nAeuR8ijNzg4pxOK6hWSWd+nT130a1EZo5cdR6Xeq7Hur+vYMa0dHCyLSeq8evsBU9adhcug9ag5eAPO3XiGXdPbo7y5UV41K88dO3oE8+f6YuAQdwTu2gdraxsMHtgX0dHRQocmOPaNfOwb+Qpy35w8fgSLF8xBv4Hu2LR9D8pZWWP4kP6IiZHdtpDgG5jiORYt3dpic+Be1HVtgHGjhuHRw/uSOqVKm2PchMnYvvsA1vhvQfESphg2uB9iY2IAAG/fvMHQgX1RslQp+G/ZgaUr1uLxo4eY5jUxT9qcXSeOHcGieXPQf5A7tuzYAytrawwb1B8xcv673wy+gUkeY9GqdVts3bkX9eo3wNgRw/DwQUbffP78GXfD7qDfwMHYsmMP5i1cimdPn2L08CGSYzg4OuLYmX+kNrc27WBqWhK2FSrmSbsVRiRW7JYP5I8oCyANDQ2YmJjA1NQUlStXxsSJE3HgwAEcPXoUAQEBkno6OjowMTFB2bJl4eHhAQMDA5w8eVLqWE+ePMGFCxcwYcIEWFlZYe/evTLPaWxsDBMTE8mmra2NokWLSl4bGBhkqaerq6uwPsiu4e2d4H8kGJuPheDusygMW3QECYkp6NnMQWb9Lo3sMHfr/3A86BGehr/D2oPXcTzoEUa0d5LUOXLxAY4HPcKjV7F4+DIGPhvO4WNCEqqXN82rZuW5zRv90aZdB7i1bgsLS0tM9p4KTU1N7N+7R+jQBMe+kY99I19B7pttmzfCrU17tHBrg7IWlpgw2Qeampr4a7/svy+B2zahhkstdO/VF2XKWmCQ+wjYlC+PnYHbJHWaNv8T1Wu4wLSkGSwsy2HkmAmI//gRDx7cAwD8+885qKqqYrynF0qbl4FtRTtMmOyDM6dO4MXzZ3nS7uzYumkj3Nq2R8v/+sZzig80tTRxUF7fbN0E55q10KN3Rt8MHirdN9o6OvBbswGNmjSDeZkysHNwxPiJkxF2JxQR4a8BAGpq6jAyKirZ9HT18PfZM2jh1hoiPqc73+NkXInUr18fDg4OMifTaWlp2LNnD2JjY6Guri71nr+/P/744w/o6uqiW7duWL9+fV6FrHBqqmJUsiqOM9eeSMrS04Ez156gum1Jmfuoq6ngc1KKVFlCYjJc7Mxk1heLRWjvaovCmmoIuvMq94JXIslJSQi7E4oazi6SMrFYjBo1XBBy84aAkQmPfSMf+0a+gtw3yclJuBsWimpOzpIysViMak7OuBUSLHOfWyE3Uf2b+gBQw7mW3PrJyUnYv2cntLV1YGVlAwBISk6CqpoaxOKvUxMNDQ0AwM0b13+hRbnnS9841ZDum+pOzgi5GSxzn5CbWfvG2aUWbsmpDwAfP36ASCSCtk4Rme//fe4s4uLeoUWrNjlug9IRiRS75QOcjCsZGxsbPH36VPLaw8MD2tra0NDQQLt27aCvr49+/fpJ3k9LS0NAQAC6desGAOjUqRP+/fdfPHnyJPOhUbJkSWhra0u2/PBVqpFuIaiqiPEmVnrN4JvYeJgYFJa5z6mrjzG8vRMsTPUhEgH1q5RBq9o2MDHQlqpXoUxRvD08DnHHJ2DpqGbo6L0bd59FKawtQop9F4vU1FQYGhpKlRsaGiIqqmC2ObvYN/Kxb+QryH3zLvYdUlNTYZCpbQaGhoiW07boqCgYGBplqR+Tqf75f86irnMV1KruiO1bNmL5qvXQ09cHAFSt5oTo6ChsDliP5OQkvH8fhxVLFwIAoqLe5lbzfklu9o28+omJiVi2aAGaNPsD2traMusc2LcbNVxqopiJyU+0gpQNJ+NKJj09Xeorp3HjxiE4OBhnzpyBk5MTFi1aBEtLS8n7J0+eRHx8PJo3bw4AMDIyktwMmtn58+cRHBws2fT/uwD+jMTERLx//15qS09L+fGOeWDs8pN49DIGNwMG4f0JTywa3gSbjt1EWnq6VL37L6Lh1H8d6gzxx9qD17DWowVsShfcNeNEREKrWs0JW3bsxbqN21CjZi14jh8lWYduYVkO3tN8sXVzAOrUqIxmDWqjRImSMDA0giif3Ij3q1KSkzFh7Cikp6djwmRvmXUiIyJw6cL/0Kp1uzyOTkG4ZpzPGVc2YWFhKFOmjOS1kZERLC0tYWlpiV27dsHOzg5Vq1aFra0tgIwbN2NiYqClpSXZJy0tDSEhIZg6darU131lypSBnp5ersTp6+uLqVOnSpWpmLtCrUyDXDn+F1Fxn5CSmgZjfeksuLF+YUTEyL7DPiruEzp47YaGmgoMdQvhddQHzOjviifh76TqJaek4fHrWADAjQcRqGJdAu5tqmHYoqw3yOZ3+nr6UFFRyfJtSHR0NIyMfu8PIOwb+dg38hXkvtHT14OKikqWGxJjoqNhKKdthkZGiImOylLfIFN9La1CMCtVGmalSsPO3hFtWzTBwX170KvvAAAZ68qbNv8T0dFR0NLSgkgkwrYtATA1lb3MMK/lZt9krp+SnIwJ40YhIvw1Vq7zl5sV/+vAXujq6qFuPddfaAkpk/zxkeE3cebMGdy6dQtt27aV+b6ZmRk6duwIT09PABkX/QMHDiAwMFAq433jxg3ExsbixIkTCovV09MTcXFxUptq6bq5fp7klDTcuB8O18rmkjKRCHCtbI7Ld15+d9/E5FS8jvoAVRUx3OrY4ND/7n+3vlgsgoaaSm6ErXTU1NVR3rYCgi5dlJSlpaUhKOgi7B0qCRiZ8Ng38rFv5CvIfaOmpg6b8hVw5fIlSVlaWhquXr4EO3tHmfvY2TtI1QeAoEsX5NaXHDc9HUlJSVnKDQ2NUKhQYZw8fhTq6hpwquEiY++896VvLgdJ982VoEuwd3CUuY+9gwOuBMnom2/qf5mIP3/2DH5rNkBPT/Y31+np6fhr/z780aIVVNXUfrk9SoFrxpkZF0piYiIiIiKQmpqKyMhIHDt2DL6+vvjzzz/Ro0cPufuNGDECFStWxNWrV/Hvv//C0NAQHTp0yHI3dfPmzbF+/Xo0bdpUIfFraGhIbqz5QiRWzHBauisIaye0xLV74bh69zWGtq2OQppq2HQs47mu6ya0wOuoD/Badw4AUM2mBEoU1cHNh5EwNdLBpJ61IRaJsDDw6x/Naf3q4fjlR3gR+R46hdTRsUEF1HEojRYe2xXSBmXQvWdvTJnogQoVKqKinT22bN6IhIQEuLUuADcA/SL2jXzsG/kKct906d4TU6d4orxtRVSoaIfArZuQkJCAP1u1BgB4T/aAsXExuA8fDQDo1KUHBvbrga2b/FGzdl2cOHYEYXdCMdEr4xvUhIRP8F+7GrXrucLIqCjevXuH3Tu24e2bSDRo1ERy3p2BW2Hv4AitQoVw+eIFLF08H0OHj4ZOEdk3Mgqha4+e8JnsCVvbiqhgZ4dtWzL6poVbRt94TfSAcbFiGDriv77p2gMD+vTAlo3+qFWnLo4fPYI7oV/7JiU5GePHjMS9sDtYtHwlUtNSJWvkdXV1oab29aENV4Iu4dWrl3BrW0CWqBAATsYFc+zYMRQvXhyqqqrQ19eHg4MDli5dip49e0otLcnM1tYWjRs3hpeXF16+fInWrWU/1qht27bo3r17vr+RCAB2nwuDkV5hePWui2L6hRHyKBKtPAIlN3WaGesiLe3renANdVV4966LMiX08TEhCceDHqKv70HExSdK6hTVK4z1E1rCxEAbcfGJuP34DVp4bJd6aktB07RZc8TGxMBv+VJERb2FtU15+K1eJ/er1d8J+0Y+9o18BblvGjVpjtjYWKxZuRTRUVGwsi6PJX5rYPjfjYiR4eEQf7Me196xEqbPmodVK5bAb9kimJUqjXmLlsHC0goAIBar4OnTxzg8Zj/evYuFrp4ebCvYYc2GLbCwLCc5TujtEKxZuQwJnz6hdJmy8Jzsg+Z/tsrbxv9A46YZfbPK72vfLFv5tW8iIsKl/o47OFbCzNnz4LdsCVYszeib+UuWwbJcRt+8efMG/5w7AwDo0r611LlWrd+IqtWqS14f2LcH9o6VYF5G+ofs8rV8sq5bkUTp6ZnuaiP6SVr1ZwodgtKKPTFJ6BCI6DeRmJz240q/qe/kun5rOhrCdYxWk/kKPX7C8bEKPX5u4LAkIiIiIhIIl6kQERERkTC4TIWZcSIiIiIioTAzTkRERETCyCePH1QkZsaJiIiIiATCzDgRERERCYNrxpkZJyIiIiISCjPjRERERCQMrhlnZpyIiIiISCjMjBMRERGRMLhmnJNxIiIiIhIIJ+NcpkJEREREJBRmxomIiIhIGLyBk5lxIiIiIiKhMDNORERERMLgmnFmxomIiIiIhMLMOBEREREJg2vGmRknIiIiIhIKM+NEREREJAyuGedknIiIiIgEwmUqXKZCRERERCQUZsaJiIiISBAiZsaZGSciIiIiEgoz40REREQkCGbGmRknIiIiIhIMM+NEREREJAwmxpkZJyIiIiISCjPjRERERCQIrhnnZJxyUeyJSUKHoLT0nUcLHYLSir24UOgQlFZ6utARKC/+/ZZPTYWdI49YzL5RNpyMc5kKEREREZFgmBknIiIiIkEwM87MOBERERGRYJgZJyIiIiJBMDPOzDgRERERkWCYGSciIiIiYTAxzsw4EREREZFQmBknIiIiIkFwzTgn40REREQkEE7GuUyFiIiIiEgwzIwTERERkSCYGWdmnIiIiIhIMMyMExEREZEgmBlnZpyIiIiISDDMjBMRERGRMJgYZ2aciIiIiEgozIwTERERkSC4ZpyTcSIiIiISCCfjXKZCRERERCQYZsaJiIiISBDMjDMzTkREREQkGE7GiYiIiEgYIgVvObRixQqYm5tDU1MTTk5OuHz58nfrL168GNbW1tDS0oKZmRlGjRqFz58/5+icnIwTERER0W9vx44dGD16NLy9vXH9+nU4ODigSZMmePPmjcz627Ztw4QJE+Dt7Y2wsDCsX78eO3bswMSJE3N0Xk7GiYiIiEgQIpFIoVtOLFy4EP3790fv3r1ha2uLVatWoVChQtiwYYPM+hcuXEDNmjXRpUsXmJubo3HjxujcufMPs+mZcTJORERERAVSYmIi3r9/L7UlJiZmqZeUlIRr166hYcOGkjKxWIyGDRvi4sWLMo/t4uKCa9euSSbfjx8/xpEjR9C8efMcxcjJOBEREREJQtGZcV9fX+jq6kptvr6+WeKIiopCamoqihUrJlVerFgxREREyIy9S5cumDZtGmrVqgU1NTVYWFigXr16XKZCFLhtK5o1qo9qlezQtVN73AoJETokhRrYvibuHpiM2H/n4B//EahqW0puXVUVMTz7NUbovomI/XcOgraORSNnG6k6YrEIXoOaImz/JMScn4PQfRMxoW8jRTdDcAVp3ARu34pmjeujemU7dOvcHrdufb8tJ44fhVuLpqhe2Q7tWrfA+X/+lno/PT0dfsuXoGG9WnCqYo+B/Xrh2bOnWY7zz9/n0K1zezhVsUdtl2oYOXyIzPO9exeLxg3qwLGiNd6/f//T7VQGBWncZLZj+1Y0b1IfTlXs0b1LB9z+wTg6efwYWrdoBqcq9mgvYxydPnUCgwf0Qb1aTqhkZ4N7d8OyHGPGVC+0aNYINao6wLWOM0YOG4Injx/naruEVpDHzM9Q9GTc09MTcXFxUpunp2euxH7u3DnMmjULfn5+uH79Ovbu3YvDhw9j+vTpOTqO0k7Ge/XqJbNTHz58iF69esHNzS1L3dmzZ0sdY//+/XLXC9nY2EBDQ0Pmp5169eph5MiRPxX3t7EWKVIE1apVw4EDB6TqBAQEyGybpqamzParq6vD0tIS06ZNQ0pKiqROamoqFi1aBDs7O2hqakJfXx/NmjXD//73P7nnE4vFKF68ODp27Ijnz5/j6dOnPxzIAQEBP9UXQjh29Ajmz/XFwCHuCNy1D9bWNhg8sC+io6OFDk0h2jVyxJyRrTBz3XE4d1+IkAevcXDZABTV15ZZ32dwc/Rr7YzR8/ahUsc5WLf3AnbM7Q0HK1NJnTE96qN/WxeMmrcXjh1mY/KyQxjd3RVDOtbOq2bluYI0bo4fPYIFc30xcLA7tu/aBytrGwwZ2BcxctoSfOM6PMePgVvrdgjctR+u9Rtg1HB3PHxwX1InYMNabNu6GZO8fLB5205oaWlhyMC+Ul/1njp5HJM9x6OVWxvs3HMAAZu3o1nzP2We08drEspZWeduwwVQkMZNZsePHcGCebMxcJA7tu3cCysrawwZ2E/+OAq+Dk+PMXBr0w7bd+1DvfoNMXrEUKlxlJCQAMdKVTB81Fi55y1vWwE+02dh74HD8Fu1DulIx5CBfZGamprrbRRCQR4zykpDQwNFihSR2jQ0NLLUMzIygoqKCiIjI6XKIyMjYWJiIvPYU6ZMQffu3dGvXz/Y2dmhdevWmDVrFnx9fZGWlpbtGJV2Mg4ATZs2RXh4uNRWpkwZmXU1NTUxZ84cxMbG/vC4//77LxISEtCuXTts3Lgxt8OGv78/wsPDcfXqVdSsWRPt2rXDrVu3pOoUKVIkS9uePXsmVedL+x88eIAxY8bAx8cH8+bNA5CRqerUqROmTZuGESNGICwsDOfOnYOZmRnq1auH/fv3yzzfq1evsGfPHty7dw/t27eHmZmZVAxjxoxBhQoVpMo6duyY632kKJs3+qNNuw5wa90WFpaWmOw9FZqamti/d4/QoSnE8C514b//Ejb/dQV3n0RimO9uJHxORs+W1WXW79K8CuYGnMLxC2F4+ioGa/dcwPELYRjRrZ6kTg17cxz6OxTH/heG5+Gx2HcmBKeD7qNqBfkZ9/yuII2bzZu+aYuFJSZ7/deWfbLbsm3LJrjUrI1effqhrIUF3IeNRHlbWwRu2wIg41qzdfMm9B8wGK71G8LK2gbTZ83F2zdvcPb0KQBASkoK5s6eiVFjxqF9x84obV4GFhaWaNI067rJnYHb8OH9B/Ts1UdxnZBHCtK4yWzLpgC0adserf4bR5O8pkJTS/442r5lM1xq1kLP3n1RtqwF3IeNyBhH27dK6vzZohUGDnZHjRrOcs/btn1HVKlaDSVMS6K8bQW4Dx2JiIhwvH79KtfbKISCPGZ+lrLcwKmuro4qVarg9OnTkrK0tDScPn0azs6yx+ynT58gFktPpVVUVABkXDuzS6kn4xoaGjAxMZHavjQys4YNG8LExETmOqDM1q9fjy5duqB79+5y75D9FXp6ejAxMYGVlRWmT5+OlJQUnD17VqqOSCTK0rbM65S+tL906dIYPHgwGjZsiIMHDwIAdu7cid27d2PTpk3o168fypQpAwcHB6xZswYtW7ZEv379EB8fn+V8xYsXh4uLC/r27YvLly8jPj5eKgZtbW2oqqpKlWlpaeV6HylCclISwu6Eooazi6RMLBajRg0XhNy8IWBkiqGmqoJKNiVx5vLXzFN6ejrOXL6P6nbmMvdRV1PF58QUqbKExGS4OHz9kHsp5Clcq5WDZamiAAC7ciXg7FAGJy5k/Uq5IChI4yY5OaMtTjWk2+L0nbaE3AyGU6Y/NM4utRByMxgA8OrlS0RFvYXTN/2jo6MDO3sH3PzvmGFhd/AmMhIisRgd27mhYb1acB/UTyorCgCPHj3EmlV+mOE7ByKRUv/5+aGCNG4ykz+OnCXjIrOQm8FS9QHA2aWm3PrZkfDpEw7u3wtT05JyM5P5SUEeMwXF6NGjsXbtWmzcuBFhYWEYPHgw4uPj0bt3bwBAjx49pJa4tGjRAitXrkRgYCCePHmCkydPYsqUKWjRooXc+aosqrneEoGoqKhg1qxZ6NKlC4YPH46SJUvKrPfhwwfs2rULQUFBsLGxQVxcHM6fP4/atXP/K/iUlBSsX78eQMYnrl+lpaUl+Spr27ZtsLKyQosWLbLUGzNmDPbu3YuTJ09KLef54s2bN9i3bx9UVFRyNFiUXey7WKSmpsLQ0FCq3NDQEE+eFKw1hwBgpFcYqqoqeBPzQar8TcwHWJsby9zn1KV7GN61Lv698QiPX0bDtVo5tHK1g8o3n+znbzyDItqauLnLA6lp6VARi+C98igCj11XaHuEUpDGTWys/LY8ldOWqKgoGBoaSdc3MkRUVNR/77+VHONbBoaGiP6vzqsXLwAAq/2WY8z4CShRwhSbNvqjX+/uOHD4OHR19ZCUlATPcaMxasw4FC9eAi//2ye/KkjjJrMv48ggS9uM8PTJE5n7REVFyaz/ZYzkxM7AbVi8cD4SEj7B3LwMVq7dADW1X/8bKrSCPGZ+yU/8MI+idOzYEW/fvoWXlxciIiLg6OiIY8eOSZKlz58/l8qET548GSKRCJMnT8arV69QtGhRtGjRAjNnzszReZV6Mn7o0CFoa39d+9qsWTPs2rVLbv3WrVvD0dER3t7ekklwZoGBgShXrhwqVKgAAOjUqRPWr1+fq5Pxzp07Q0VFBQkJCUhLS4O5uTk6dOggVScuLk6qbQBQu3ZtHD16NMvx0tPTcfr0aRw/fhzDhg0DANy/fx/ly5eXef4v5ffvf81KfTlfeno6Pn36BAAYPnw4Chcu/FNtTExMzPJooHQVDZnrsEh5jF2wD36TOuDmrglIT0/H41fR2PTXZfRs4SSp066hAzo1rYxek7fgzuNI2FuVwLzRbgh/G4eth68KGD0pq7T0jLWRfQcMQsNGTQAA02b4okmDOjh5/BjadeiEpYsXoExZC/zRopWQoVI+0OyPFnBydkHU27fYtHEDPMaMhP/m7fz7Qnli6NChGDp0qMz3zp07J/VaVVUV3t7e8Pb2/qVzKvVk3NXVFStXrpS8zs7Ecc6cOahfvz7GjpV9g8iGDRvQrVs3yetu3bqhbt26WLZsGXR0dH49aACLFi1Cw4YN8fjxY4waNQpLly6FgYGBVB0dHR1cvy6dacy8HOTLh5Hk5GSkpaWhS5cu8PHxkbyfk/VIX86XnJyMo0ePYuvWrTn+5PYtX19fTJ06Vaps0hRvTPbykb1DHtDX04eKikqWG2Gio6NhZGQkZ6/8K+pdPFJSUmFsID1ujQ10EBH9Qe4+Hcb5Q0NdFYa6hfH6bRxmDP0TT15/7bNZI1pg/sYz2HUyGAAQ+igcpYrrY1yvBgVyMl6Qxo2+fs7bYmRkhOho6exldNTX+kZGRSXHKFr06zcuMdHRsLLOeBJP0aIZdSwsLCTvq6urw7Rkxj0pAHA56BIePriPUw7HAXy9frnWroG+/QdhyNDhP9dogRSkcZPZl3GU+WbN6Ois36J8YWRkJLv+T/SFjo4OdHR0ULq0OewdHFCnphPOnD4p94bg/KIgj5lfkdMf5imIlHrRXuHChWFpaSnZihcv/sN96tSpgyZNmsh8bM2dO3dw6dIljB8/HqqqqlBVVUWNGjXw6dMnBAYG5lrcJiYmsLS0ROPGjeHv74+OHTtm+SlVsVgs1TZLS0uYmppK1XF1dUVwcDAePHiAhIQEbNy4UfKBxMrKCmFhstfwfim3srLKcr7y5ctj9OjRqFGjBgYPHvzTbZT1qKBxHrnzqKCfpaaujvK2FRB06evD+dPS0hAUdBH2DpUEjEwxklNScePuS7hWKycpE4lEcK1WDpdvPf3uvolJKXj9Ng6qKmK41bfHob9vS97T0lBHWpr0B73UtHSIC+gFsyCNGzW1jLZcDpJuy+XvtMXewRGXL12SKrt08QLsHRwBAKYlS8LIqCguf9M/Hz9+xK2Qm3D475jlbStCXV1daglDcnIyXr96heIlSgAAFixahp17DmDH7v3YsXs/vKbOAABs2LgVnTp3/fXG57GCNG4y+zKOgjKPo0uXJOMiM3sHR6lxB0iPo5+Vnp7xf5KTkn7pOMqgII8Z+jVKnRn/WbNnz4ajoyOsraUfnbV+/XrUqVMHK1askCr39/fH+vXr0b9//1yPpXr16qhSpQpmzpyJJUuW5GjfLx9GZOnUqRO6dOmCv/76K8u68QULFsDQ0BCNGsl/NvSECRNgYWGBUaNGoXLlyjmKC8i4uTTzV4afU+RUzkPde/bGlIkeqFChIira2WPL5o1ISEiAW+s2QoemEEu3/Y213p1xLewFroY+x9DOdVFISx2b/sr4NbB1Pp3x+u17eK04DACoVqEUShjr4ub9VzAtqotJA5pALBZh4aYzkmMe+TcUHr0b4kVELO48joCjdUkM71IXmw7m7Od985OCNG669+iNKZM8YFuhIipWtMfWLRltaeWW0ZbJnuNhbFwMw0eNAQB06dYD/Xp3x6aADahdpy6OHT2CO6G34eUzDUDGB7yu3Xtg7ZqVKFW6NExNS2LF8iUoamwM1wYZv1Snra2Ndh06YaXfMhQzKY4SJUpgo3/GUsHGjZsCAMxKST+N58uTr8qUtUCRIkUU3zEKUJDGTWbdevSC16QJGePIzh7bNmcaRxM9YGxsjOEjM8ZR527d0b93D2zauAG1a9fD8WOHcSc0FFO8p0mOGRf3DhHh4ZLk1NOnGR/eDI2MYGRUFC9fvMDx40fg7FwT+gYGiIyMgP/6tdDQ0ECt2nXzuAcUoyCPmZ/FzHgBnYzb2dmha9euWLp0qaQsOTkZmzdvxrRp01CxYkWp+v369cPChQsRGhoqWUv+9u1bBAcHS9UrXrx4lieeZMfIkSPRunVrjB8/XpL9Tk9Pl/mMc2Nj4yyPyZGlU6dO2LVrF3r27Il58+ahQYMGeP/+PVasWIGDBw9i165d313WY2ZmhtatW8PLywuHDh3KcZuUVdNmzREbEwO/5UsRFfUW1jbl4bd63U99VZof7D4ZDCM9bXgNbIpihkUQcv8VWg1fgzcxHwEAZib6SPtmOZOGhhq8BzVDGVNDfExIxPH/haGv1zbEffwsqTN63j54D2qGJR5tUVRfB+FRcVi/9yJmrTuR5+3LKwVp3DRp1hyxsTFY+W1bVn1tS3h4OETfXGMcK1XGrDnzsWLZYixbshClSptj0dIVsCz39Zu1Xn36IyEhAdN9vPDhw3tUqlwFfqvWSX0gHzVmPFRVVDHZczwSEz+jop0D1mzYiCK6unnX+DxWkMZNZk2aZrRt5YpliP6vbStWrZW0LSL8tdS3ZY6OlTFr9nysWL4Yy5csQqnS5li4ZLnUOPr77Bl4T/n6y4QTxo0GAAwc7I5BQ4ZBXUMdN65dw7bNm/D+/XsYGhqicpWqCNi8PcvNoflVQR4zP4uTcUCUnpOFx3moV69eePfuXZbnZct6T1bdp0+fwtraGklJSUhPT8eePXvQoUMHvH79WuaE2tbWFk2bNsXChQtRr149/P3331nqTJ8+HZMnT/5u3CKRCPv27ZN6ikl6ejpsbW3h6uoKPz8/BAQESB6Tk1l4eDhMTEy+2/4vUlJSsHjxYgQEBODBgwfQ1NSEs7MzpkyZgpo1a0rqBQQEYOTIkXj37p3U/pcuXYKzszOCgoJQvXrGc6l9fHywf//+LB9EskMZMuPKSt95tNAhKK3YiwuFDkFpKefVWTnw77d8mZeZ0VdiMQeOLJoCpmbN3A/8uNIveLFC+W8aV9rJOOU/nIzLx8m4fJyMy8ers3ycjMvHybh8nIzLJuhkfKiCJ+PLlX8yrtQ3cBIRERERFWScjOfArFmzoK2tLXNr1qyZ0OERERER5Su59bP38rb8oEDewKkogwYNyvLjPV/kl5+MJyIiIiLlwcl4DhgYGGT58R4iIiIi+jn5JXutSFymQkREREQkEGbGiYiIiEgQzIxzMk5EREREAuFknMtUiIiIiIgEw8w4EREREQmDiXFmxomIiIiIhMLMOBEREREJgmvGmRknIiIiIhIMM+NEREREJAhmxpkZJyIiIiISDDPjRERERCQIJsaZGSciIiIiEgwz40REREQkCK4Z52SciIiIiATCuTiXqRARERERCYaZcSIiIiISBJepMDNORERERCQYZsaJiIiISBBMjDMzTkREREQkGGbGiYiIiEgQYjFT48yMExEREREJhJlxIiIiIhIE14xzMk5EREREAuGjDTkZJ8oTsRcXCh2C0tKvPlzoEJRW7OWlQodA+RDX4MqXni50BERZcTJORERERIJgYpw3cBIRERERCYaZcSIiIiISBNeMMzNORERERCQYZsaJiIiISBDMjDMzTkREREQkGGbGiYiIiEgQTIxzMk5EREREAuEyFS5TISIiIiISDDPjRERERCQIJsaZGSciIiIiEgwz40REREQkCK4ZZ2aciIiIiEgwzIwTERERkSCYGGdmnIiIiIhIMMyMExEREZEguGack3EiIiIiEgjn4lymQkREREQkGGbGiYiIiEgQXKbCzDgRERERkWCYGSciIiIiQTAxzsw4EREREZFgmBknIiIiIkFwzTgz40REREREgmFmnIiIiIgEwcQ4J+NEREREJBAuU+EyFYXq1asX3NzcZL5nbm4OkUiUZZs9ezZ8fHxkvpeT7dy5cwgICJD5nqamplSMX8rV1NRQpkwZjB8/Hp8/f86jXsp9gdu2olmj+qhWyQ5dO7XHrZAQoUNSGuwb2WpWtsDuxQPw+Ph0JFxfihb17IQOSalw3MjHvpGvIPVN4PataNa4PqpXtkO3zu1x69b323Li+FG4tWiK6pXt0K51C5z/52+p99PT0+G3fAka1qsFpyr2GNivF549eyrzWElJSejQthUcK1rj7t0wSfmrVy/hWNE6yxZyM/hXm0t5jJNxAU2bNg3h4eFS27BhwzB27FipspIlS0rVffbsmdT7HTp0QNOmTaXKXFxcAABFihTJco5nz55JxfFl38ePH2PRokVYvXo1vL29heiSX3bs6BHMn+uLgUPcEbhrH6ytbTB4YF9ER0cLHZrg2DfyFdZUx637rzBy9i6hQ1E6HDfysW/kK0h9c/zoESyY64uBg92xfdc+WFnbYMjAvoiR05bgG9fhOX4M3Fq3Q+Cu/XCt3wCjhrvj4YP7kjoBG9Zi29bNmOTlg83bdkJLSwtDBvZFYmJiluMtWjAXRY2N5ca3el0ATp37V7KVt63w643OQyKRYrf8gJNxAeno6MDExERqK1y4MLS1taXKVFRUpOqWKlVK6n0tLS1oaGhIlamrqwPI+Pon8zmKFSsmFceXfc3MzODm5oaGDRvi5MmTQnTJL9u80R9t2nWAW+u2sLC0xGTvqdDU1MT+vXuEDk1w7Bv5TlwIw1S/wzh4Nv9m7hSF40Y+9o18BalvNm/6pi0Wlpjs9V9b9sluy7Ytm+BSszZ69emHshYWcB82EuVtbRG4bQuAjKz41s2b0H/AYLjWbwgraxtMnzUXb9+8wdnTp6SO9e/5v3Hpwv8weqyH3Ph09fRgZFRUsqmpqeVe4ylPcDJOUm7fvo0LFy5IJvP5SXJSEsLuhKKGs4ukTCwWo0YNF4TcvCFgZMJj39DP4LiRj30jX0Hqm+TkjLY41ZBui9N32hJyMxhOzs5SZc4utSTLR169fImoqLdw+qZ/dHR0YGfvgJvfHDM6KgrTfKZghu9cqeWlmY0cOhiudZzRq3tnnDt7+meaKahfXZb7oy0/4GRcQB4eHtDW1pbazp8/n6vniIuLy3KOZs2aSdU5dOgQtLW1oampCTs7O7x58wbjxo3L1TjyQuy7WKSmpsLQ0FCq3NDQEFFRUQJFpRzYN/QzOG7kY9/IV5D6JjY2522JioqCoaGRdH2jr/Wjot5KjvEtA0NDRP9XJz09HV6TJ6B9h06oUFH2PSyFChXCmHETMG/hEixbsRqVKlfBqOHu+XJC/rvj01QENG7cOPTq1UuqzNTUNFfPoaOjg+vXr0uVaWlpSb12dXXFypUrER8fj0WLFkFVVRVt27b97nETExOzrG1LV9GAhoZG7gRORET0m9q+dTPi4+PRp99AuXX09Q3QvWdvyeuKdvZ4++YNNvqvRz3XBnkRZq7IL9lrRWJmXEBGRkawtLSU2jJPlH+VWCzOco7ME/7ChQvD0tISDg4O2LBhA4KCgrB+/frvHtfX1xe6urpS27w5vrkae07p6+lDRUUlyw1C0dHRMDIykrPX74F9Qz+D40Y+9o18Balv9PVz3hYjIyNER0tnzaOjvtY3MioqOca3YqKjYfhfncuXLyHkZjCqV7ZDFQdbtGzeGADQtWNbTJ4of/14RXsHvHj+PActJGXAyThJEYvFmDhxIiZPnoyEhAS59Tw9PREXFye1jfPwzMNIs1JTV0d52woIunRRUpaWloagoIuwd6gkYGTCY9/Qz+C4kY99I19B6hs1tYy2XA6Sbsvl77TF3sERly9dkiq7dPEC7B0cAQCmJUvCyKgoLn/TPx8/fsStkJtw+O+YHp6TsXPPAezYvR87du/HMr81AIA58xdh2PBRcuO9dzcMRkWL/lRbhcKnqXCZisLFxcUhODhYquzLOrEPHz4gIiJC6r1ChQqhSJEiuXb+9PT0LOcAAGNjY4jFsj+LtW/fHuPGjcOKFSswduxYmXU0NLIuSfmc8uvx/qruPXtjykQPVKhQERXt7LFl80YkJCTArXUboUMTHPtGvsJa6rAw+/oHzNzUEPZWpoh9/wkvImIFjEx4HDfysW/kK0h9071Hb0yZ5AHbChVRsaI9tm7JaEsrt4y2TPYcD2PjYhg+agwAoEu3HujXuzs2BWxA7Tp1cezoEdwJvQ0vn2kAMpZldO3eA2vXrESp0qVhaloSK5YvQVFjY7g2aAgAKF68hFQMWoUKAQBKmpVCMRMTAMDBA/ugpqYGG5vyAIDTp07iwL498Jo6Q/Gdkou4TIWTcYU7d+4cKlWS/vTct29fAICXlxe8vLyk3hs4cCBWrVqVa+d///49ihcvnqU8PDwcJv/9g85MVVUVQ4cOxdy5czF48GAULlw41+JRtKbNmiM2JgZ+y5ciKuotrG3Kw2/1OslXf78z9o18lW1L4cTa4ZLXc8dk/JHdfDAIA3y2ChWWUuC4kY99I19B6psmzZojNjYGK79ty6qvbQkPD4fom+SWY6XKmDVnPlYsW4xlSxaiVGlzLFq6ApblrCR1evXpj4SEBEz38cKHD+9RqXIV+K1al+P7rtau8sPr8NdQVVGBeZmymDN/ERo1bpo7Dac8I0pPT08XOggqGJQhM075j3714T+u9JuKvbxU6BCIChTOeGTTEvDR5K5LLij0+GdHuPy4ksC4ZpyIiIiISCBcpkJEREREguCacWbGiYiIiIgEw8w4EREREQmCiXFmxomIiIiIBMPMOBEREREJQszUOCfjRERERCQMzsW5TIWIiIiISDDMjBMRERGRIPhoQ2bGiYiIiIgEw8w4EREREQlCzMQ4M+NERERERACwYsUKmJubQ1NTE05OTrh8+fJ367979w7u7u4oXrw4NDQ0YGVlhSNHjuTonMyMExEREZEglGnN+I4dOzB69GisWrUKTk5OWLx4MZo0aYJ79+7B2Ng4S/2kpCQ0atQIxsbG2L17N0xNTfHs2TPo6enl6LycjBMRERFRgZSYmIjExESpMg0NDWhoaGSpu3DhQvTv3x+9e/cGAKxatQqHDx/Ghg0bMGHChCz1N2zYgJiYGFy4cAFqamoAAHNz8xzHyGUqRERERCQIkUixm6+vL3R1daU2X1/fLHEkJSXh2rVraNiwoaRMLBajYcOGuHjxoszYDx48CGdnZ7i7u6NYsWKoWLEiZs2ahdTU1Bz1ATPjRERERCQIERS7TMXT0xOjR4+WKpOVFY+KikJqaiqKFSsmVV6sWDHcvXtX5rEfP36MM2fOoGvXrjhy5AgePnyIIUOGIDk5Gd7e3tmOkZNxIiIiIiqQ5C1JyQ1paWkwNjbGmjVroKKigipVquDVq1eYN28eJ+NEREREpPyU5dGGRkZGUFFRQWRkpFR5ZGQkTExMZO5TvHhxqKmpQUVFRVJWvnx5REREICkpCerq6tk6N9eMExEREdFvTV1dHVWqVMHp06clZWlpaTh9+jScnZ1l7lOzZk08fPgQaWlpkrL79++jePHi2Z6IA5yMExEREZFARCKRQrecGD16NNauXYuNGzciLCwMgwcPRnx8vOTpKj169ICnp6ek/uDBgxETE4MRI0bg/v37OHz4MGbNmgV3d/ccnZfLVIiIiIjot9exY0e8ffsWXl5eiIiIgKOjI44dOya5qfP58+cQi7/msc3MzHD8+HGMGjUK9vb2MDU1xYgRI+Dh4ZGj84rS09PTc7Ul9Nv6nCJ0BJQf6VcfLnQISiv28lKhQyAqUDjjkU1LTbhzu627qtDj7+9XVaHHzw1cpkJEREREJBAuUyEiIiIiQYhzuK67IGJmnIiIiIhIIMyMExEREZEgmBjnZJyIiIiIBJLTxw8WRFymQkREREQkEGbGifJASiqfpyUPH98nn37tCUKHoLRiz88WOgSllcbn98nFmwWVD/+TMDNORERERCQYZsaJiIiISBD8toKZcSIiIiIiwTAzTkRERESCYF6cmXEiIiIiIsEwM05EREREguBzxjkZJyIiIiKBiDkX5zIVIiIiIiKhMDNORERERILgMhVmxomIiIiIBMPMOBEREREJgolxZsaJiIiIiATDzDgRERERCYJrxpkZJyIiIiISDDPjRERERCQIPmeck3EiIiIiEgiXqXCZChERERGRYJgZJyIiIiJBMC/OzDgRERERkWB+ajJ+/vx5dOvWDc7Oznj16hUAYPPmzfj3339zNTgiIiIiKrjEIpFCt/wgx5PxPXv2oEmTJtDS0sKNGzeQmJgIAIiLi8OsWbNyPUAiIiIiooIqx5PxGTNmYNWqVVi7di3U1NQk5TVr1sT169dzNTgiIiIiKrhEIsVu+UGOJ+P37t1DnTp1spTr6uri3bt3uRETEREREdFvIceTcRMTEzx8+DBL+b///ouyZcvmSlBEREREVPCJRCKFbvlBjifj/fv3x4gRIxAUFASRSITXr19j69atGDt2LAYPHqyIGImIiIioAOIylZ94zviECROQlpaGBg0a4NOnT6hTpw40NDQwduxYDBs2TBExEhEREREVSDnOjItEIkyaNAkxMTG4ffs2Ll26hLdv32L69OmKiC/fePHiBfr06YMSJUpAXV0dpUuXxogRIxAdHS2pU69ePcnXJpqamrC1tYWfn5/k/YCAAOjp6Um9FolEaNq0qdS53r17B5FIhHPnzknKRCIR9u/fL1Xv0KFDqFu3LnR0dFCoUCFUq1YNAQEBUnWePn0KkUgEY2NjfPjwQeo9R0dH+Pj4/FR/CClw21Y0a1Qf1SrZoWun9rgVEiJ0SLlqZ+BW/Nm0Ppyr2qNHlw64fev77Tt54hjatGwG56r26NCmBf49/7fkveTkZCxdNB8d2rRAzeqV0KRBbXhN9MDbN5FSxxg1bDCaN3aFc1V7NK5fG1Mmjs9SJ78r6OMms4Fta+DuXg/EnpuOf9YNQVXbknLrqqqI4dmnAUJ3jUPsuekI2jQCjWpYSdW5u9cDCRdnZ9kWjW2l6KYIqiCPmx3bt6J54/pwqmyP7p2zca05fgytWzSDU2V7tG/dAuf/+Vvq/dMnT2Bw/z6oV9MJlSra4N7dsCzH2LNrB/r16o5aTlVQqaINPrx/n6ttUgYFecz8DD7a8Bd+9EddXR22traoXr06tLW1czOmfOfx48eoWrUqHjx4gO3bt+Phw4dYtWoVTp8+DWdnZ8TExEjq9u/fH+Hh4bhz5w46dOgAd3d3bN++Xe6xVVVVcerUKZw9ezZHMS1btgytWrVCzZo1ERQUhJCQEHTq1AmDBg3C2LFjs9T/8OED5s+fn6NzKKNjR49g/lxfDBzijsBd+2BtbYPBA/tKfSjKz04cO4KF82ZjwCB3bN2xF1bW1hg6qB9i5LTvZvB1TPIYA7fW7bBt5z7Uq98QY0YMxcMH9wEAnz9/xt2wO+g3cAi27tiD+QuX4enTJxg1fIjUcapWd8KceYuw9+BRzFu4BC9fPMf4MSMU3t68UtDHTWbtGthjzvA/MXP9KTj3WoaQB+E4uKgviuoXllnfZ2Bj9HOrjtELD6JSl0VYt+8SdszuDgerEpI6tfosh/kfMyRb8+HrAAB7T9/KkzYJoSCPm+NHj2DB3NkYONgd23ZlXGuGDJR/rQm+cR2e4zOuNdt3ZVxrRg//eq0BgISEBDhWroLho7L+Dfri8+fPcKlVG336D8z1NimDgjxm6OfleDLu6uqK+vXry91+R+7u7lBXV8eJEydQt25dlCpVCs2aNcOpU6fw6tUrTJo0SVK3UKFCMDExQdmyZeHj44Ny5crh4MGDco9duHBh9OnTBxMmTMh2PC9evMCYMWMwcuRIzJo1C7a2trC0tMSYMWMwb948LFiwAEFBQVL7DBs2DAsXLsSbN29y3gFKZPNGf7Rp1wFurdvCwtISk72nQlNTE/v37hE6tFyxZVMAWrdtj5ZubVHWwhITp0yFppYmDuyX3b7tWzfDuWYt9OjdF2XKWmDI0BGwKW+LnYFbAQA6OjrwW7MBjZs0g3mZsrBzcITHxCkIuxOK8PDXkuN07d4Ldg6OKF7CFA6OldGrzwDcCrmJ5OTkPGm3ohX0cZPZ8M614H/wMjYfvoa7T99g2Nz9SEhMQs8/q8qs36VpZczdeBbHL97D09cxWLsvCMcv3MOIzrUldaLexSMy5qNka17TBo9eRuH8jcd51aw8V5DHzZZNAWjTrj1atW4LCwtLTPL6r2375FxrtmyGS81a6NmnL8paWMB92AiUt7VF4Latkjp/tmyFgYPdUcPZWe55u3bviT79BsDe3iHX26QMCvKY+VlcM/4Tk3FHR0c4ODhINltbWyQlJeH69euws7NTRIxKLSYmBsePH8eQIUOgpaUl9Z6JiQm6du2KHTt2ID09Xeb+WlpaSEpK+u45fHx8cOvWLezevTtbMe3evRvJyckyM+ADBw6EtrZ2lmx8586dYWlpiWnTpmXrHMooOSkJYXdCUcPZRVImFotRo4YLQm7eEDCy3JGcnIS7YaGoXkO6fdWdnHHrZrDMfUJuBsPJyUWqzNmlJkLk1AeAjx8/QCQSQUeniMz34+Le4eiRv2DvWEnqtwbyq4I+bjJTU1VBJWtTnLny9alY6enpOHPlIapXLC1zH3V1FXxOSpEqS0hMhouDudxzdGpSCRsPXc21uJVNQR43yckZbXPKdK1xquEs99oRcjMYTs45u9b8bgrymKFfk+MbOBctWiSz3MfHBx8/fvzlgPKbBw8eID09HeXLl5f5fvny5REbG4u3b99KlaempmL79u0ICQnBgAEDvnuOEiVKYMSIEZg0aRLc3Nx+GNP9+/ehq6uL4sWLZ3lPXV0dZcuWxf3796XKRSIRZs+ejRYtWmDUqFGwsLD44XmUTey7WKSmpsLQ0FCq3NDQEE+e5P/s3LtYee0zwtMnT2TuEx0VBYNM9Q0MjRAdFSWzfmJiIpYumo8mzf7Isvxs6aL52LF9Kz5/ToCdvQMWL1/1C61RHgV93GRmpFcIqqoqeBMjfb1+E/MR1qWLytznVNADDO9UG//eeILHr2LgWtUCrepVgIpYdj6nZV1b6GlrYsvha7kev7IoyOMm9r9rTeZrx/euNVEyrjWGRvKvNb+jgjxmfkV+efygIv30mvHMunXrhg0bNuTW4fIdeZnvzPz8/KCtrQ0tLS30798fo0aNytYjIT08PPD27VuF9nGTJk1Qq1YtTJky5Yd1ExMT8f79e6ktMTFRYbGR4iUnJ2PC2JFITwc8J/tkeb97r77YtnMvVqxeD7GKCrwmTcj2uKf8beyiv/DoRRRuBo7B+39mYNGYVth0+BrS5Pz37/lnNRy/dB/hUR9kvk9ERF/l2mT84sWL0NTUzK3D5RuWlpYQiUQIC8t6VzgAhIWFQV9fH0WLZmScunbtiuDgYDx58gTx8fFYuHAhxHKyS9/S09ODp6cnpk6dik+fPn23rpWVFeLi4vD69ess7yUlJeHRo0ewsrKSsScwe/Zs7NixAzdufP8rM19fX+jq6kpt8+b4/rAdiqSvpw8VFZUsN8JER0fDyMhIoKhyj56+vPZFyW2foZFRlhuuYqKjYJipfnJyMiaMG4Xw8NfwW7Ne5k3Z+vr6KG1eBjWca8J3zkL87/zfuBUS/GuNUgIFfdxkFvXuE1JSUmFsIP3f2NhAGxHRsr/djHoXjw4TNsOwvhes28yBQ6cFiP+UiCevYrLULWWih/rVLBFw8IpC4lcWBXnc6P93rcl87YiWce34wkjGtSY6Sn7931FBHjO/QqzgLT/IcZxt2rSR2lq3bo0aNWqgd+/eGDiwYN79/D2GhoZo1KgR/Pz8kJCQIPVeREQEtm7dio4dO0q+htHV1YWlpSVMTU2zNQn/1rBhwyAWi7FkyZLv1mvbti3U1NSwYMGCLO+tWrUK8fHx6Ny5s8x9q1evjjZt2vzwhlFPT0/ExcVJbeM8PLPfGAVQU1dHedsKCLp0UVKWlpaGoKCLsHeoJGBkuUNNTR025SvgSpB0+64EXYKdg6PMfewdHHH5m/oAEHTpAuy/qf9lIv7i2TOsXOMPPT39H8aSlp4GAD+83yE/KOjjJrPklFTcuPcKrlUtJWUikQiuVS1x+faz7+6bmJSC12/fQ1VFDDfXijh0/k6WOt3/qIo3sR9x9MLdXI9dmRTkcaOm9l/bMl1rLgddkrp2fMvewRGXL0lfay5dvCC3/u+oII+ZX8Ff4PyJNeO6urpSr8ViMaytrTFt2jQ0btw41wLLT5YvXw4XFxc0adIEM2bMQJkyZRAaGopx48bB1NQUM2fOzJXzaGpqYurUqXB3d/9uvVKlSmHu3LkYM2YMNDU10b17d6ipqeHAgQOYOHEixowZAycnJ7n7z5w5ExUqVICqqvzhoaGhAQ0NDamyzylyKueh7j17Y8pED1SoUBEV7eyxZfNGJCQkwK11G6FDyxXdevSC9+QJKG+b0b5tWzLa19Ito31eEz1QtJgxho0YAwDo3LU7+vfpgc0bN6BWnXo4cfQw7oSGYpJXxo26ycnJ8BgzAnfD7mDx8lVITUtFVFTG/Q26urpQU1PHrZCbuBN6C46VqqBIkSJ48eIFVq1YgpJmpQrMH5CCPm4yW7r9X6yd0h7X7r7E1dAXGNqpFgppqmPToYw13uu8OuD12zh4rTwOAKhma4YSRYvg5oNwmBYtgkn9GkIsEmHhFunnSItEIvT4owq2HrmO1NS0PG9XXivI46Zbj17wmjQBthUqomLFr9eaVv9dayZ7esDY2BjDR/13renWHf1798CmgA2oXacejv93rZni8/WhAHFx7xARHi55ateX9eeGRkYwMsr49jgq6i2io6Lw/PlzAMCDB/dRuHBhmBQvDl1dvbxqvsIU5DFDPy9Hk/HU1FT07t0bdnZ20Nf/cfbsd1GuXDlcvXoV3t7e6NChA2JiYmBiYgI3Nzd4e3vDwMAg187Vs2dPLFiwAHfuZM1IfWvkyJEoW7Ys5s+fjyVLliA1NRUVKlTAypUr0bt37+/ua2VlhT59+mDNmjW5FndeadqsOWJjYuC3fCmiot7C2qY8/FavKzBflTZu2hyxsTFY5bcM0VFvYWVdHstWroWhYUb7IiJeQyT+mglwcKyMmbPnY+WyxVixdBFKlTLHgiXLYVkuY5nS2zeR+PvcGQBA5/ZuUudavX4jqlZzgqamJs6cOonVfsuQkJAAI6OicK5ZG7PnDYa6unreNFzBCvq4yWz36RAY6ReGV79GKGaog5AHr9Fq1Aa8ic1YpmJWTA9paV/Xg2toqMJ7YGOUKWGAjwlJOH7xHvpO3YG4j5+ljlu/miVKFdcv0E9R+VZBHjdNmmVca1Yuz7jWWNuUx4pVayVtiwh/DfE31xrHSpUxa858rFi2GMuXLEKp0uZYuPTrtQYA/j57Bt6TJ0peTxg3GgAwcLA7Brln/IL37h2BWL1yhaRO357dAABTZ8ySJB3ys4I8Zn6WOH8krxVKlJ7DO7A0NTURFhaGMmXKKComyqeUITOurFJSeaOjPKoqvBLLo187+78v8LuJPT9b6BCUlrwbawn55hcZ85pmjtdJ5J6RBxS7pG1xKxuFHj835HjNeMWKFfH48e/7CB4iIiIiyh1ikWK3/CDHk/EZM2Zg7NixOHToEMLDw7M83o6IiIiIiLIn219MTJs2DWPGjEHz5s0BAC1btpS6SzU9PR0ikQipqam5HyURERERFTj55YknipTtyfjUqVMxaNAgnD17VpHxEBERERH9NrI9Gf9yn2fdunUVFgwRERER/T7yy7puRcrR/bP8KoGIiIiIcgunljmcjFtZWf1wQh4Tk/XnkYmIiIiIKKscTcanTp2a5Rc4iYiIiIh+Bp/9nsPJeKdOnWBsbKyoWIiIiIiIfivZnoxzvTgRERER5aYc/+BNAZTtPkjnz+sSEREREeWqbGfG09LSFBkHEREREf1muPCC3w4QEREREQkmRzdwEhERERHlFj5NhZNxIiIiIhII5+JcpkJEREREJBhmxomIiIhIEGJmxpkZJyIiIiISCjPjRERERCQI3sDJzDgRERERkWCYGSciIiIiQTAxzsw4EREREZFgmBknIiIiIkHwaSqcjBMRERGRQETgbJzLVIiIiIiIBMLMOBEREREJgstUmBknIiIiIhIMM+NEREREJAhmxjkZJ8oTqiq82lDOxZ6fLXQISku/2lChQ1BasVeWCx0CEeUAJ+NEREREJAgRf/WHa8aJiIiIiITCzDgRERERCYJrxjkZJyIiIiKBcJUKl6kQEREREQmGmXEiIiIiEoSYqXFmxomIiIiIhMLMOBEREREJgjdwMjNORERERAQAWLFiBczNzaGpqQknJydcvnw5W/sFBgZCJBLBzc0tx+fkZJyIiIiIBCESKXbLiR07dmD06NHw9vbG9evX4eDggCZNmuDNmzff3e/p06cYO3Ysateu/VN9wMk4EREREf32Fi5ciP79+6N3796wtbXFqlWrUKhQIWzYsEHuPqmpqejatSumTp2KsmXL/tR5ORknIiIiIkGIIVLolpiYiPfv30ttiYmJWeJISkrCtWvX0LBhw6+xicVo2LAhLl68KDf+adOmwdjYGH379v2FPiAiIiIiKoB8fX2hq6srtfn6+mapFxUVhdTUVBQrVkyqvFixYoiIiJB57H///Rfr16/H2rVrfylGPk2FiIiIiASh6MeMe3p6YvTo0VJlGhoav3zcDx8+oHv37li7di2MjIx+6VicjBMRERGRIBT9aEMNDY1sTb6NjIygoqKCyMhIqfLIyEiYmJhkqf/o0SM8ffoULVq0kJSlpaUBAFRVVXHv3j1YWFhkK0YuUyEiIiKi35q6ujqqVKmC06dPS8rS0tJw+vRpODs7Z6lvY2ODW7duITg4WLK1bNkSrq6uCA4OhpmZWbbPzcw4EREREQlCrOh1KjkwevRo9OzZE1WrVkX16tWxePFixMfHo3fv3gCAHj16wNTUFL6+vtDU1ETFihWl9tfT0wOALOU/wsk4EREREf32OnbsiLdv38LLywsRERFwdHTEsWPHJDd1Pn/+HGJx7i8qEaWnp6fn+lHpt/Q5RegIiOh3oV9tqNAhKK3YK8uFDoHyGU0BU7Nrg54p9Pj9nUor9Pi5gWvGiYiIiIgEwmUqRERERCQIZVozLhRmxomIiIiIBMLMOBEREREJgolxTsaJiIiISCBcosE+ICIiIiISDDPjRERERCQIEdepMDNOBU/gtq1o1qg+qlWyQ9dO7XErJETokJQG+0Y+9o187Jusala2wO7FA/H4xEwk3FiOFvXshQ5J6XDcyMZ+ocwEnYz36tULIpEIIpEIampqKFOmDMaPH4/Pnz9L6nx5P/MWGBgoqZOeno41a9bAyckJ2tra0NPTQ9WqVbF48WJ8+vQJAODj4wNHR0fJPj4+PpJjqaqqwtzcHKNGjcLHjx8BAE+fPoVIJEJwcLDUa1nbpUuXAAABAQEQiURo2rSpVDvfvXsHkUiEc+fOSep8b3v69Ol3+y1zWzKrV68eRo4cKXn95MkTdOnSBSVKlICmpiZKliyJVq1a4e7du7kSjzI5dvQI5s/1xcAh7gjctQ/W1jYYPLAvoqOjhQ5NcOwb+dg38rFvZCuspYFb919hpO8OoUNRShw3srFfshIpeMsPBM+MN23aFOHh4Xj8+DEWLVqE1atXw9vbW6qOv78/wsPDpTY3NzfJ+927d8fIkSPRqlUrnD17FsHBwZgyZQoOHDiAEydOyD13hQoVEB4ejqdPn2LOnDlYs2YNxowZ8914T506lSWWKlWqSN5XVVXFqVOncPbsWZn7d+zYUWpfZ2dn9O/fX6rMzMwsGz2XPcnJyWjUqBHi4uKwd+9e3Lt3Dzt27ICdnR3evXuX5/Eo2uaN/mjTrgPcWreFhaUlJntPhaamJvbv3SN0aIJj38jHvpGPfSPbif/dwVS/Qzh4lllNWThuZGO/kCyCrxnX0NCAiYkJAMDMzAwNGzbEyZMnMWfOHEkdPT09SZ3Mdu7cia1bt2L//v1o1aqVpNzc3BwtW7bE+/fv5Z5bVVVVctyOHTvi9OnTOHjwIFavXi13H0NDQ7mxAEDhwoXRoUMHTJgwAUFBQVne19LSgpaWluS1uro6ChUq9N1j/orQ0FA8evQIp0+fRunSGT8JW7p0adSsWVMqpryKR5GSk5IQdicUffsPlJSJxWLUqOGCkJs3BIxMeOwb+dg38rFv6Gdw3MjGfpGNP/qjBJnxb92+fRsXLlyAurp6tvfZunUrrK2tpSbiX4hEIujq6mb7WFpaWkhKSsp2fXl8fHxw69Yt7N69+5eP9auKFi0KsViM3bt3IzU1VehwFCr2XSxSU1NhaGgoVW5oaIioqCiBolIO7Bv52DfysW/oZ3DcyMZ+IXkEn4wfOnQI2tra0NTUhJ2dHd68eYNx48ZJ1encuTO0tbWltufPnwMAHjx4AGtr61+O49q1a9i2bRvq16//3XouLi5ZYsmsRIkSGDFiBCZNmoSUlJRfju1XmJqaYunSpfDy8oK+vj7q16+P6dOn4/Hjx7903MTERLx//15qS0xMzKWoiYiI6HfANeNKMBl3dXVFcHAwgoKC0LNnT/Tu3Rtt27aVqrNo0SIEBwdLbSVKlACQcfPmz7p16xa0tbWhpaWF6tWrw9nZGcuXL//uPjt27MgSiyweHh54+/YtNmzY8NPx5RZ3d3dERERg69atcHZ2xq5du1ChQgWcPHnyp4/p6+sLXV1dqW3eHN9cjDrn9PX0oaKikuVGmOjoaBgZGQkUlXJg38jHvpGPfUM/g+NGNvaLbCKRYrf8QPDJeOHChWFpaQkHBwds2LABQUFBWL9+vVQdExMTWFpaSm2qqhnL3a2srHD37t2fOre1tTWCg4MRFhaGhIQEHDx4EMWKFfvuPmZmZllikUVPTw+enp6YOnWq5IkuQtLR0UGLFi0wc+ZM3Lx5E7Vr18aMGTN++nienp6Ii4uT2sZ5eOZixDmnpq6O8rYVEHTpoqQsLS0NQUEXYe9QScDIhMe+kY99Ix/7hn4Gx41s7BeSR/DJ+LfEYjEmTpyIyZMnIyEhIVv7dOnSBffv38eBAweyvJeeno64uDi5+6qrq8PS0hLm5uY5WqeeXcOGDYNYLMaSJUty/di/QiQSwcbGBvHx8T99DA0NDRQpUkRq09DQyMUof073nr2xd/dOHNy/D48fPcKMaT5ISEiAW+s2QocmOPaNfOwb+dg3shXWUoe9lSnsrUwBAOamhrC3MoWZib7AkSkHjhvZ2C9Z/ejxyr+65QeCP00ls/bt22PcuHFYsWIFxo4dCyDjOd0RERFS9XR0dCRPLtm3bx86d+6MyZMno3HjxihatChu3bqFRYsWYdiwYVKPQfxV0dHRWWLR09ODpqZmlrqampqYOnUq3N3dc+38XyQkJGRZIqOjowMLCwupsuDgYHh7e6N79+6wtbWFuro6/v77b2zYsAEeHh65HpfQmjZrjtiYGPgtX4qoqLewtikPv9XrYPgbfwX4BftGPvaNfOwb2SrblsaJdSMkr+eOzVheufngJQzw3iJUWEqD40Y29gvJonSTcVVVVQwdOhRz587F4MGDAQC9e/fOUs/X1xcTJkyASCTCtm3bsGbNGmzYsAEzZ86EqqoqypUrhx49eqBJkya5Gl/Dhg2zlG3fvh2dOnWSWb9nz55YsGAB7ty5k6tx3L9/H5UqSX+t1aBBA5w6dUqqrGTJkjA3N8fUqVMlP1z05fWoUaNyNSZl0blrN3Tu2k3oMJQS+0Y+9o187Juszl97AK1KQ4UOQ6lx3MjGfpGmVEs0BCJK/5U7IIm+8VnYB8cQ0W9EvxonwvLEXvn+gwiIMtMUMDW748YrhR6/YyVThR4/NyhdZpyIiIiIfg/5ZV23IvHbASWU+Tnm327nz58XOjwiIiIiyiXMjCshec8uBzJ+xIeIiIioIGBenJNxpSTv2eVEREREBQmXqXCZChERERGRYJgZJyIiIiJBMCvMPiAiIiIiEgwz40REREQkCK4ZZ2aciIiIiEgwzIwTERERkSCYF2dmnIiIiIhIMMyMExEREZEguGSck3EiIiIiEoiYC1W4TIWIiIiISCjMjBMRERGRILhMhZlxIiIiIiLBMDNORERERIIQcc04M+NEREREREJhZpyIiIiIBME148yMExEREREJhplxIiIiIhIEnzPOyTgRERERCYTLVLhMhYiIiIhIMMyMExEREZEgmBlnZpyIiIiISDDMjBMRERGRIPijP8yMExEREREJhplxyjWfk1OFDkFpaaqpCB2C0kpPFzoC5cW1lPLFXlkudAhKS7++j8ARKK+Y0z5Ch0CZiHmdY2aciIiIiEgozIwTERERkSC4ZpyTcSIiIiISCJfjcZkKEREREZFgmBknIiIiIkFwmQoz40REREREgmFmnIiIiIgEwUcbMjNORERERCQYZsaJiIiISBBcM87MOBERERGRYJgZJyIiIiJB8DnjnIwTERERkUA4F+cyFSIiIiIiwTAzTkRERESCEHOdCjPjRERERERCYWaciIiIiATBvDgz40REREREgmFmnIiIiIiEwdQ4M+NEREREREJhZpyIiIiIBCFiapyZcSIiIiIioTAzTkRERESC4GPGORknIiIiIoFwLs5lKkREREREgmFmnIiIiIiEwdQ4M+NERERERELhZDyX9erVCyKRCCKRCGpqaihTpgzGjx+Pz58/S+p8eT/zFhgYCAA4d+6cVHmxYsXQtm1bPH78WOpcFy5cQPPmzaGvrw9NTU3Y2dlh4cKFSE1Nlar37bGKFCmCatWq4cCBAwCAevXqyY1HJBKhXr16iu0wOXYFboNbs4aoXd0Rfbp1ROitkO/WP33iGDq4/YHa1R3RpV0r/O/833Lrzp7hAydHW2zfskmq3H/tKvTr0QV1alRGg1pOudIOZRO4bSuaNaqPapXs0LVTe9wK+X6/KrPA7VvRrHF9VK9sh26d2+PWD8bIieNH4daiKapXtkO71i1w/h/pMZKeng6/5UvQsF4tOFWxx8B+vfDs2VOpOs0a14djRWupbcO6NZL3r1wOwshhg9GwXi3UqOaIDm1b4fChg7nWZqEUpHGT2363vhnYuhru7hiJ2JOT8c+qfqha3lRuXVUVMTx71kXo9uGIPTkZQRsGoVF1S6k6k3rXQ8I/PlJb8OahCmzBz+H1RnFECv5ffsDJuAI0bdoU4eHhePz4MRYtWoTVq1fD29tbqo6/vz/Cw8OlNjc3N6k69+7dw+vXr7Fr1y6EhoaiRYsWkon2vn37ULduXZQsWRJnz57F3bt3MWLECMyYMQOdOnVCenq6zPNdvXoVNWvWRLt27XDr1i3s3btXcv7Lly8DAE6dOiUp27t3r+I6So6Tx49iyYI56DtwCDZu3w1LKxuMGDIAMTHRMuuHBN/AFM9xaOHWBpsC96COawOMHzUMjx4+yFL33JlTuB1yE0WLGmd5Lzk5GQ0aNUHb9h1zvU3K4NjRI5g/1xcDh7gjcNc+WFvbYPDAvoiOlt2vyuz40SNYMNcXAwe7Y/uufbCytsGQgX0RI6ctwTeuw3P8GLi1bofAXfvhWr8BRg13x8MH9yV1AjasxbatmzHJywebt+2ElpYWhgzsi8TERKljDRk6HKfO/SvZOnfpJnnvZvANlLOyxvxFS7Frz0G0cmuDKRM98M+5s4rpiDxQkMZNbvvd+qZd/QqY494EMwPOwbnfaoQ8jMTB+d1QVK+wzPo+/eujX8sqGL3kKCr1WIF1B65ix8yOcChnIlUv9PEbmLvNl2wNhm7Ii+ZkG683pGicjCuAhoYGTExMYGZmBjc3NzRs2BAnT56UqqOnpwcTExOpTVNTU6qOsbExihcvjjp16sDLywt37tzBw4cPER8fj/79+6Nly5ZYs2YNHB0dYW5ujn79+mHjxo3YvXs3du7cKfN8VlZWmD59OlJSUnD27FkYGBhIzl+0aFEAgKGhoaTMwMBAsZ0lw/bNAWjVpj1auLVBWQtLTJjsDU1NTfy1X/YHgx3bNqOGSy1079UXZcpaYJD7cFiXt8WuwK1S9d5ERmL+7JmYNmsuVFWz3i4xYMgwdO7eExaWVgppl9A2b/RHm3Yd4Na6LSwsLTHZeyo0NTWxf+8eoUPLsc2bvmmLhSUme/3Xln2y27Jtyya41KyNXn36oayFBdyHjUR5W1sEbtsCICNLtXXzJvQfMBiu9RvCytoG02fNxds3b3D29CmpYxUqXBhGRkUlm1ahQpL3+g0YBPdhI+FYqTLMSpVC1+494VKzNk6fOqG4zlCwgjRuctvv1jfDOzjD/9B1bD4ajLvP3mLYgkNI+JyMnn9Uklm/S2MHzN1yHscvPcDT8FisPXAVxy89wIiOLlL1UlLTEBnzUbJFx33Ki+ZkG683iiUSKXbLDzgZV7Dbt2/jwoULUFdX/6XjaGlpAQCSkpJw4sQJREdHY+zYsVnqtWjRAlZWVti+fbvM46SkpGD9+vUA8MsxKUJychLuht1BdacakjKxWIxqTs64FRIsc59bIcGo5uQsVVbDuSZuhdyUvE5LS4PP5Ano1rMPylqWU0jsyiw5KQlhd0JRw/nrH0GxWIwaNVwQcvOGgJHlXHJyRlucaki3xek7bQm5GQwnZ+kx4uxSCyE3gwEAr16+RFTUWzh90z86Ojqws3fAzUzH9F+3FnVrOqFjOzcEbFiHlJSU78b78eMH6Orq5aCFyqMgjZvc9rv1jZqqCipZlcCZq1+XS6anp+PMtceoXqGkzH3U1VTwOUn630dCYgpc7EpJlVmWNMDjvWNwJ3AE/Ke0gZmxbu434CfxekN5gU9TUYBDhw5BW1sbKSkpSExMhFgsxvLly6XqdO7cGSoqKlJld+7cQalS0hcpAAgPD8f8+fNhamoKa2trHDlyBABQvnx5mee3sbHB/fv3pcq+nC8hIQFpaWkwNzdHhw4dfqWZCvEu9h1SU1NhYGgkVW5gaIhnTx/L3Cc6KgoGhoaZ6hshOipK8nqT/zqoqKig4zdf8f1OYt/FIjU1FYaZ+snQ0BBPnsjuV2UVGyu/LU/ltCUqKgqGmcaUoZEhov4bI1FRbyXH+JaBoaHUOOrStTtsyttCV1cXN4NvYOmShYiKeoux4z1lnvf4sSMIvX0Lk72n5ayRSqIgjZvc9rv1jZFuIaiqivEm9qNU+ZuYeFiXMpK5z6nLjzC8gzP+vfkMj1/FwrVKGbSqUx4q4q/pyit3XmKA737cfx4NE0NtTOpdD6eW90aVnn74mJCkyCZlC683ipdPktcKxcm4Ari6umLlypWIj4/HokWLoKqqirZt20rVWbRoERo2bChVVqJECanXJUuWRHp6Oj59+gQHBwfs2bNHKpudeV3493w53+PHjzFq1CgsXbr0l5agJCYmZlnblpimCg0NjZ8+pqKE3QnFjm2bsWn7Hojyy3dWpJS69+wt+f+trG2gpqaGGdO8MXzkmCzfNF25fAneUybCy2cGLH/Db2OIxi49Cr/xLXFz81CkpwOPX8dg09Eb6Nn867KWE0EPJf//7ceRuBL2Cvd2jkTb+hWw8XDB+4YhJ36b6w3/LHOZiiIULlwYlpaWcHBwwIYNGxAUFCRZGvKFiYkJLC0tpbbM65jPnz+PkJAQvH//HsHBwXByynjCh5VVxprmsLAwmecPCwuT1Ml8vsaNG8Pf3x8dO3bEmzdvfrqNvr6+0NXVldoWzZv908f7Qk9fDyoqKoiJjpIqj4mOhoGR7OyLoZFRlhtpYqKjYPhf/eDr1xAbE4NWzRrApYodXKrYITz8NZYunAu3Zg1lHbLA0dfTh4qKSpYby6Kjo2Ekp1+Vlb5+zttiZGSE6ExjKjrqa30jo6KSY3wrJjpaMo5kqWjvgJSUFLx+9VKq/OqVyxjuPhhjx3uiRSu3bLVLGRWkcZPbfre+iYr7hJSUNBjra0uVGxsURkTMR7n7dJgUCMMms2DdYREcui1HfEISnryOlXueuI+f8fBFNCxM8/5+JVl4vaG8wMm4gonFYkycOBGTJ09GQkJCjvYtU6YMLCwsoKOjI1XeuHFjGBgYYMGCBVn2OXjwIB48eIDOnTvLPW716tVRpUoVzJw5M0fxfMvT0xNxcXFS26hxE376eF+oqanDprwtrly+JClLS0vDlcuXYGfvKHMfO3tHXP2mPgBcvnQRdvYOAIDmf7bE1l37sXnHXslWtKgxuvXsgyUr1/5yzPmBmro6yttWQNCli5KytLQ0BAVdhL2D7JuvlJWaWkZbLgdJt+Xyd9pi7+CIy5ekx8ilixdg7+AIADAtWRJGRkVx+Zv++fjxI26F3ITDd/rn3t0wiMViGBh8/br5yuUgDBsyECNGj0W7fP5knoI0bnLb79Y3ySmpuHH/NVyrlJGUiUQiuFYui8uhL7+zJ5CYlILXUR+gqiKGWx1bHPr3nty6hbXUUcbUABHRsif4eY3XG8Xjow25TCVPtG/fHuPGjcOKFSskN12+e/cOERERUvV0dHRQuLDsR0R9q3Dhwli9ejU6deqEAQMGYOjQoShSpAhOnz6NcePGoV27dj9cDz5y5Ei0bt0a48ePh6mp/OfEyqOhoZFlSUpaQqqc2jnTuXsvTJviifK2FWFb0Q6BWzfhc0IC/mzVGgDgM3kCihobw334aABAxy7dMahfT2zd5I+atevi5LEjCLtzG55eUwEAunp60NXTkzqHqqoqDAyNUNr86x+WiPDXeB8Xh4iIcKSlpeL+3YxvHkqWKoVChX7830XZde/ZG1MmeqBChYqoaGePLZs3IiEhAW6t2wgdWo5179EbUyZ5wLZCRVSsaI+tWzLa0sotoy2TPcfD2LgYho8aAwDo0q0H+vXujk0BG1C7Tl0cO3oEd0Jvw8snY22lSCRC1+49sHbNSpQqXRqmpiWxYvkSFDU2hmuDjG9PbgbfwK1bN1GtWg0ULlwYN2/ewPy5vmj+Z0sU0c244ezK5UsY5j4IXbr2QMNGjSVrQ9XU1PLtTVUFadzktt+tb5buvIi1nq1x7d5rXA17haHta6CQlho2HclYTrJuYmu8jnoPrzWnAQDVypuiRNEiuPkgAqZFdTCpdz2IxSIs3P4/yTF9hzTG4f/dw/PIOJQw0sHk3vWQmpaGnaduCdBC2Xi9IUXjZDwPqKqqYujQoZg7dy4GDx4MAOjdu3eWer6+vpgwIXvZ5Xbt2uHs2bOYOXMmateujc+fP6NcuXKYNGkSRo4c+cO10U2bNkWZMmUwc+ZM+Pn55bxRCtSoSTO8i43BmpXLEB0VBStrGyz2Wy25ISYyPBxi0dcvdewdK2H6rLlYtWIpVi5bDLNSpTF30TJY5HDd3Bq/5Tj8137J6+6dMtb5+60NQJVq1X+9YQJr2qw5YmNi4Ld8KaKi3sLapjz8Vq/77teiyqpJs+aIjY3Bym/bsuprW8LDwyESfx0jjpUqY9ac+VixbDGWLVmIUqXNsWjpCliW+7qcq1ef/khISMB0Hy98+PAelSpXgd+qdZIPnerq6jh+9AhW+S1HclISTE1Lolv3XlLrOg8e2I/PCQnYsG41NqxbLSmvUrU61gdsVnS3KERBGje57Xfrm91nQmGkVxhefVxRzEAbIQ8j0GrsFryJjQcAmBXTRdo39zJpqKvCu199lCmuj48JSTh+6QH6ztiHuI9ffwTPtGgRbPJuB4MiWoh69wkXbj1H3UHrEKVEjzfk9UaxlO1WrhUrVmDevHmIiIiAg4MDli1bhurVZc8B1q5di02bNuH27dsAgCpVqmDWrFly68sjSs/JXYBE3/EulzLjBZGmmsqPK/2meAWST9n+SFH+oF/fR+AIlFfMaR+hQ1BKWmrCnTv4+QeFHt+xlM6PK/1nx44d6NGjB1atWgUnJycsXrwYu3btwr1792BsnPXHArt27YqaNWvCxcUFmpqamDNnDvbt24fQ0NAcrTrgZJxyDSfj8nEyLh+vQPJxMk4/Q7++j8ARKC9OxmUTcjJ+U8GTcZti6lme/iZrqS0AODk5oVq1apLHUaelpcHMzAzDhg3L1sqF1NRU6OvrY/ny5ejRo0e2Y+QNnERERERUIMl6+puvr2+WeklJSbh27ZrUY6fFYjEaNmyIixcvZqkvy6dPn5CcnJzjR0dzzTgRERERCUPB3wB6enpi9OjRUmWysuJRUVFITU1FsWLFpMqLFSuGu3fvZutcHh4eKFGiRJbfkfkRTsaJiIiISBCKfvygvCUpuW327NkIDAzEuXPnoKmpmaN9ORknIiIiot+akZERVFRUEBkZKVUeGRkJExOT7+47f/58zJ49G6dOnYK9vX2Oz80140REREQkCJFIsVt2qauro0qVKjh9+rSkLC0tDadPn4azs7Pc/ebOnYvp06fj2LFjqFq16k/1ATPjRERERPTbGz16NHr27ImqVauievXqWLx4MeLj4yW/DdOjRw+YmppKbgCdM2cOvLy8sG3bNpibm0t+zFFbWxva2trZPi8n40REREQkCGV6gmvHjh3x9u1beHl5ISIiAo6Ojjh27Jjkps7nz59D/M0PPK1cuRJJSUlo166d1HG8vb3h4+OT7fPyOeOUa/iccfn4nHH5eAWSj88Zp5+hX99H4AiUF58zLpuQzxm//fKjQo9fsWT2M9RCYWaciIiIiITBpANv4CQiIiIiEgoz40REREQkCEU/Zzw/4GSciIiIiATBe2O4TIWIiIiISDDMjBMRERGRIJgYZ2aciIiIiEgwzIwTERERkTCYGmdmnIiIiIhIKMyMExEREZEg+GhDZsaJiIiIiATDzDgRERERCYLPGedknIiIiIgEwrk4l6kQEREREQmGmXEiIiIiEgZT48yMExEREREJhZlxIiIiIhIEH23IzDgRERERkWCYGSciIiIiQfDRhoAoPT09XeggqGD490Gs0CEorQqmRYQOQWlpqasIHYLSSknl5VkeVRX+BZcnISlV6BCUVpu1QUKHoJTOjnAR7NwP3yQo9PiWxloKPX5uYGaciIiIiATBj9WcjBMRERGRUDgb5w2cRERERERCYWaciIiIiATBRxsyM05EREREJBhmxomIiIhIEHy0ITPjRERERESCYWaciIiIiATBxDgz40REREREgmFmnIiIiIiEwdQ4J+NEREREJAw+2pDLVIiIiIiIBMPMOBEREREJgo82ZGaciIiIiEgwzIwTERERkSCYGGdmnIiIiIhIMMyMExEREZEguGacmXEiIiIiIsEwM05EREREAmFqnJNxIiIiIhIEl6lwmQoRERERkWCYGSciIiIiQTAxzsw4EREREZFgmBknIiIiIkFwzTgz40REREREgmFmnIiIiIgEIeKqcU7GKX84c2g3ju3dgrjYGJiVsUSXgWNQ1rqCzLp/H9uPi2eO4tWzxwCA0pbWaNNjcJb6r188wW7/Fbh/+wZSU1NRolQZDPH0haGxicLb8yt279iGLRs3ICY6CpZW1hjjMQkVKtrLrX/65DGs8VuG8NevYFaqNNyHj4ZL7boy686Z4YN9e3Zi5NgJ6NS1h6R87Ah3PLgfhtiYGOgUKYJqTs5wHz4GRY2Nc719QgncthUb/dcjKuotrKxtMGHiFNjZy+/X/GZn4FZsCliP6KgolLOywXjPyahoJ799J08cw8rlSyTjZviosaj137hJTk7GyuVL8O/5v/Hq5Uto62jDyckFw0aORlHjYgCA169eYt2albgSdAnR0VEwKmqM5n+0QN8Bg6Cmpp4nbc4LBXnc8FqTfW72JuhYpQQMCqnjUVQ8lp57gruRH+XWL6yugn4upVDb0hA6GqqI/JCIFf88QdDTdwCAlnbF0NLeBCY6GgCApzEJ2BT0ApefvcuD1lBeU5plKi1atEDTpk1lvnf+/HmIRCKEhIQAAAYOHAgVFRXs2rUrS10fHx+IRCKIRCKoqKjAzMwMAwYMQExMjFQ9c3NzLF68WKrswoULaN68OfT19aGpqQk7OzssXLgQqampkjpPnz6FSCRCcHBwlnPXq1cPI0eOlLy+efMmWrZsCWNjY2hqasLc3BwdO3bEmzdvvtsX37ZB3gYAvXr1kvnel358/fo19PX1sXTpUqnjBwUFQU1NDSdOnPjheXx8fL4ba164/M9J7Fi3BC0794P3ko0wK1MOi7xG4v27GJn17926jup1G2Gc7wpMnL8WBkWLYaHXCMRGfe33N+EvMXv8QBQvWRrjfP0wdfkWtOjUG2rqyj1JOHn8KJYsmIN+A4dg47bdKGdlg5FDBiAmJlpm/ZDgG/DyHIcWbm2wcfse1KnXAONHD8Ojhw+y1D135hRu37qJokWz/tGrUq06Zs5ZhB37DsN33hK8evECE8eNzO3mCebY0SOYP9cXA4e4I3DXPlhb22DwwL6Ijpbdr/nNiWNHsHDebAwY5I6tO/bCytoaQwf1Q4yc9t0Mvo5JHmPg1rodtu3ch3r1G2LMiKF4+OA+AODz58+4G3YH/QYOwdYdezB/4TI8ffoEo4YPkRzj6ZMnSEtLw0Svqdi57xDGjPPEnl07sHzJojxpc14oyOOG15rscy1niMG1zbEx6CUGbL+JR2/jMdfNFnpaajLrq4pFmN+mAkyKaMLn8D302HQDC04/QtTHJEmdtx+TsPZ/zzAwMASDAkNw40UcZrSwgbmBVl41K++IFLzlA0ozGe/bty9OnjyJly9fZnnP398fVatWhb29PT59+oTAwECMHz8eGzZskHmsChUqIDw8HM+fP4e/vz+OHTuGwYMHf/f8+/btQ926dVGyZEmcPXsWd+/exYgRIzBjxgx06tQJ6enpOWrP27dv0aBBAxgYGOD48eMICwuDv78/SpQogfj4+O/uO3bsWISHh0u2kiVLYtq0aVJlXzRt2lSqPDw8HNu3bwcAlChRAsuWLYOnpycePMi4ICYkJKBnz57o168fGjduLLXf4sWLUaRIEamysWPH5qjdinBi/3bUadIKtRr9iRKlyqC7uwfUNTTx78lDMusPGDcN9f9oh1JlrVDczBy9hk1Eeloawm5eldTZu2kV7Kq6oH2fYShtYQ3j4iXh6FQHRfQM8qpZP2X7lgC0atMef7ZqgzIWlvCY5A1NTU0c2r9XZv0d2zejhkstdOvZF2XKWmCg+3BYl7fF7sCtUvXevInEgjkzMXXWXKioZv3CrHO3nqho74DiJUxh71gJ3Xv3w+1bN5GSnKyQdua1zRv90aZdB7i1bgsLS0tM9p4KTU1N7N+7R+jQcsWWTQFo3bY9Wrq1RVkLS0ycMhWaWpo4sF92+7Zv3QznmrXQo3fGuBkydARsytti53/jRkdHB35rNqBxk2YwL1MWdg6O8Jg4BWF3QhEe/hoA4FKrNnym+8LZpRZKljRDXdf66N6zD86ePpln7Va0gjxueK3JvvaVS+BwaCSO3XmDZzEJWHjmMT6npKJZBdnZ/GYVjKGjoYrJh+7idvgHRH5IxM1X7/Eo6pOkzsUnsQh6+g6v3n3Gy3efsf7icyQkp8K2uE5eNYvykNIsU/nzzz9RtGhRBAQEYPLkyZLyjx8/YteuXZg3bx4AYNeuXbC1tcWECRNQokQJvHjxAmZmZlLHUlVVhYlJxlIDU1NTtG/fHv7+/nLPHR8fj/79+6Nly5ZYs2aNpLxfv34oVqwYWrZsiZ07d6Jjx47Zbs///vc/xMXFYd26dVD974JTpkwZuLq6/nBfbW1taGtrS16rqKhAR0dH0qZvaWhoyCz/olu3bti7dy969eqF8+fPw9PTE8nJyZL+/HZfXV1diESi7x4vr6UkJ+PZw3to3r6npEwsFsPWsRoe3b2VrWMkJn5GamoqCusUAQCkpaUh5OoFNGvTDQunjMDzx/dhVKw4mrfvicrOsr9SVQbJyUm4F3YHPfv0l5SJxWJUc3LGrZBgmfvcDglG5269pMpqONfE32fPSF6npaVh6uQJ6NazD8palPthHHFx73D86CHYOVSCqprszE9+kpyUhLA7oejbf6CkTCwWo0YNF4TcvCFgZLkjOTkJd8NC0bvfAEmZWCxGdSdn3LoZLHOfkJvB6Na9l1SZs0tNnDt7Wu55Pn78AJFIBJ3//p3Jq1NEVzdH8SurgjxueK3JPlWxCFbG2th65ZWkLB3A9edxqGAie+LsUtYAdyI+YGS9MnCxMEDcpxScvv8W26++QpqMvJ9YBNQtZwhNVRWEhn9QUEuEk0+S1wqlNJlxVVVV9OjRAwEBAVJZ6F27diE1NRWdO3cGAKxfvx7dunWDrq4umjVrhoCAgO8e9+nTpzh+/DjUv7P84MSJE4iOjpaZBW7RogWsrKwk2ebsMjExQUpKCvbt25fjrHpuW7VqFR48eICuXbti+fLl8Pf3l5rsK7MP798hLS01S8a6iJ4+4mKz91Xw7oAV0DMwgq1jtYxjxsUiMeETjuzehIpVamD09CWo7FwPfrMm4N6t67nehtzyLvYdUlNTYWBgJFWub2iI6OgomftER0XBwMAwU30jqfqb/ddBRUUFHTp3++75ly9ZgHrOVdCkngsiw8Mxb9Hyn2yJcol9F4vU1FQYGkr3k6GhIaKiZPdrfvIuVl77jOS2LzoqCgaZ6hsYGiFaTv3ExEQsXTQfTZr9Iffa8uL5MwRu34I27bKf1FBmBXnc8FqTfbpaqlARixD7KUmqPPZTMgwKy/4AUaKIBupaGkIsFsHzQBg2X36B9pVKoFv1klL1yhgWwpHBTjgx1Bmj61vA6/BdPItJUFhbhCISKXbLD5RmMg4Affr0waNHj/D3339Lyvz9/dG2bVvo6uriwYMHuHTpkiRD3a1bN/j7+2eZ7N66dQva2trQ0tJCmTJlEBoaCg8PD7nnvX8/Yx1k+fLlZb5vY2MjqZNdNWrUwMSJE9GlSxcYGRmhWbNmmDdvHiIjI3N0nB85dOiQJJP+ZZs1a5ZUHWNjY0yfPh2BgYEYMGAA6tSp88vnTUxMxPv376W2pKTEXz5ubjuyaxMu/3MK7pNmQ00940aYtLQ0AEClGnXQ2K0zSpW1QvP2PWBfrSbOHd0nZLh57u6dUOzYvhlTps6S3IsgT7cefbApcA+WrFwHsYoKpk6ZIPgHTRJecnIyJowdifR0wHOyj8w6byIjMXRwfzRs1BRt2nXI2wBJKfBa85VIJEJsQjIWnH6E+2/icfZBNLZeeYmWdtLfSr+ITUC/bTcxZEcIDoREYEKjcihdENeMk3JNxm1sbODi4iJZC/7w4UOcP38effv2BQBs2LABTZo0gZFRxqf15s2bIy4uDmfOnJE6jrW1NYKDg3HlyhV4eHigSZMmGDZs2A/Pn9v/2GfOnImIiAisWrUKFSpUwKpVq2BjY4Nbt7K3vCI7XF1dERwcLLUNGjRIqk5qaioCAgJQqFAhXLp0CSkpKb98Xl9fX+jq6kptW1bl/o1ZOkX0IBarZLlZ8/27WOjqG8rZK8OxvVtxZPcmjJm+BGZlvn4lqlNEDyoqKihuZi5Vv7iZOWLeRuRa7LlNTz8j7pgY6cxUbHQ0DA2NZO5jaGSU5Yar2OgoSf3gG9cQGxMDt+YNULOqHWpWtUNE+GssXTgXbs0bZjq/PkqVNodTDRfMmD0fF/79B7dDbuZiC4Whr6cPFRWVLDfdRUdHS641+Zmevrz2Rcltn6GRUZabO2Oio2CYqX5ycjImjBuF8PDX8FuzXmZW/O2bSAzs1wMODpUw2XvaL7ZGeRTkccNrTfbFJaQgNS0d+oWkv33XL6SGmHjZ69xj4pPwMjZBaknKs5gEGBZWh6r46weVlLR0vI77jPtv4rHuwnM8iopHW8fiCmmHkEQK/l9+oFSTcSDjRs49e/bgw4cP8Pf3h4WFBerWrYvU1FRs3LgRhw8fhqqqKlRVVVGoUCHExMRkuZFTXV0dlpaWqFixImbPng0VFRVMnTpV7jmtrKwAAGFhYTLfDwsLk9QpUiRjPWRcXFyWeu/evYNupvWQhoaGaN++PebPn4+wsDCUKFEC8+fPz36H/EDhwoVhaWkptRkYSC/pmD9/Ph4/foyrV6/i5cuXWTLnP8PT0xNxcXFSW7dBo375uJmpqqmhtKU1wm5ekZSlpaUh7OYVWNjYyd3v6O7NOBS4AaOmLoZ5OelvPFTV1GBezhYRr55LlUe+egFDY+W90KmpqcO6vC2uBF2SlKWlpeHK5Uuws3eUuU9Fe0dcuXxJquzypYuws3cAADT7oyW27NyPTYF7JVvRosbo2qMPlvitlRvLl28XkpKT5NbJL9TU1VHetgKCLl2UlKWlpSEo6CLsHSoJGFnuUFNTh035CrgSJN2+K0GXYOfgKHMfewdHXP6mPgAEXboA+2/qf5mIv3j2DCvX+ENPTz/Lcd5ERmJA3x4oX74CvKfPglisdH9yflpBHje81mRfSlo67r/5iMpmX//2iwBUNtNFaITs9d23wz/AVE9Tappopq+FqI9JSJG1aPzLcUUiqKkUnH9D9JXS/Vft0KEDxGIxtm3bhk2bNqFPnz4QiUQ4cuQIPnz4gBs3bkhlgbdv3469e/fi3bt3co85efJkzJ8/H69fv5b5fuPGjWFgYIAFCxZkee/gwYN48OCBZM26gYEBjIyMcO3aNal679+/x8OHDyWTdlnU1dVhYWHxw6ep5KbQ0FB4e3tj5cqVKF++PFauXIkZM2ZIHhP5szQ0NFCkSBGpTf2/ZSC5rbFbZ/xz/CD+d/owXr94gi1+c5H4+TNqNvwDALBuwVTsCfCT1D+yexP2b1mDXiMmwahYccTFRiMuNhqfE77eqd60TVdcOX8Kfx/bj8jXL3D6r124eflfuDZvo5A25JbO3Xrh4L7dOHxwP548foS5s6bic0IC/mjVGgAwdfIE+C1dKKnfsXN3XLrwL7Zu8sfTJ4+xdtVyhN25jXadugIAdPX0YGFZTmpTUVWFoZERSpuXAQDcvnUTuwK34v69MIS/foWrly9hiuc4lDQzk/uHOb/p3rM39u7eiYP79+Hxo0eYMc0HCQkJcGut3OMhu7r16IV9e3bhrwP78OTxI/jOyGhfS7eM9nlN9MCyJV+vf527dseFC/9i88YNePLkMVb7LcOd0FB0+G/cJCcnw2PMCISF3saM2fOQmpaKqKi3iIp6i+T/Jk1fJuImJiUwcowHYmNjJHUKioI8bnityb5d11/jz4rF0KR8UZTS18Ko+mWhqaaCY3cyHqfr2dgS/VxKSeofCImAjoYqhtYtg5J6mqhhro8u1UyxP+Trk9L6uZSCfYkiKKajgTKGhdDPpRQcSxbBqXsF59+PBB9tqDxPU/lCW1sbHTt2hKenJ96/f49evXoByLhx848//oCDg4NUfVtbW4waNQpbt26Fu7u7zGM6OzvD3t4es2bNwvLlWW8EKVy4MFavXo1OnTphwIABGDp0KIoUKYLTp09j3LhxaNeuHTp0+LrOcfTo0Zg1axaKFSuGGjVqIDo6GtOnT0fRokXRpk3GRfjQoUMIDAxEp06dYGVlhfT0dPz11184cuTId5/sklOJiYmIiJBeWqGqqgojIyOkpKSgZ8+eaNOmjSSutm3bom3btujVqxcuX74sedKLMqtepxE+xL3D/i1r8T42GmZly2HUtEWSZSoxbyMg+uarvXNH9iIlJRkrfSdKHadl575o1TXj6QCVXeqh+xAPHNm1EdvXLIKJaSkMmeiLchUc86xdP6NRk2Z4FxuDtSuXITo6CuWsbbBoxWrJV8EREeEQfZN9tHeshGmz5mL1iqVYtXwxzEqVxtyFy2Bh+eMnGXyhqamFc2dOYe2q5fickABDo6Ko4VILvfsv/O6N0flJ02bNERsTA7/lSxEV9RbWNuXht3pdlmUZ+VXjps0RGxuDVX7LEB31FlbW5bFs5dpvxs1rqX9DDo6VMXP2fKxcthgrli5CqVLmWLBkOSzLZSQb3r6JxN/nMpYHdm7vJnWu1es3omo1J1y69D+8eP4ML54/Q7NG0k8puhZyV4GtzTsFedzwWpN9Zx9EQ1dLDb1qlIJBITU8ioqHx/47iP2UsUzFWEdDaknK249JGL//DtzrlMH6ro54+zEJe4PDsf3q1yey6BdSg2cTSxgUUkd8UioeR8Vj/P47uPY867fylP+J0pXwroiLFy/CxcUFzZs3x+HDhxEZGYmSJUti27ZtaN++fZb6Q4YMwaVLl3D9+nX4+Phg//79WX6UJzAwEL169cKDBw9gZmYGc3NzjBw5UupHes6fP4+ZM2fi4sWL+Pz5M8qVK4fevXtj5MiRUFFRkdRLTU2Fn58f1q5di0ePHsHAwAA1a9bE7NmzYW5uDgB4/PgxZs+ejb///hsvXryAhoYGypUrhyFDhkg+YGSXrFiBjB/92bhxY5b61tbWuHv3LqZNm4aVK1ciNDRUaulKTEwMKlSogMGDB8PLy0tSHhAQgJEjR373W4bv+fdB7E/t9zuoYCr/cW+/Oy11lR9X+k2lpCrd5VlpqKrkk5SXABKSUn9c6TfVZm2Q0CEopbMjXAQ7d9THX7+P7XuMtJU/6aiUk3HKnzgZl4+Tcfk4GZePk3H5OBmXj5Nx+TgZl42TcWEpf4REREREVCDll2eBK5LS3cD5uxg0aFCW54N/2TI/mpCIiIioIOKjDZkZF8y0adNk/uIn8PXxiURERERUsHEyLhBjY2MYGxsLHQYRERGRYLhMhctUiIiIiIgEw8k4EREREZFAOBknIiIiIhII14wTERERkSC4ZpyZcSIiIiIiwTAzTkRERESCyC/PAlckTsaJiIiISBBcpsJlKkREREREgmFmnIiIiIgEwcQ4M+NERERERIJhZpyIiIiIhMHUODPjRERERERCYWaciIiIiATBRxsyM05EREREJBhmxomIiIhIEHzOOCfjRERERCQQzsW5TIWIiIiISDDMjBMRERGRMJgaZ2aciIiIiEgonIwTERERkSBECv5fTq1YsQLm5ubQ1NSEk5MTLl++/N36u3btgo2NDTQ1NWFnZ4cjR47k+JycjBMRERHRb2/Hjh0YPXo0vL29cf36dTg4OKBJkyZ48+aNzPoXLlxA586d0bdvX9y4cQNubm5wc3PD7du3c3ReUXp6enpuNIDo3wexQoegtCqYFhE6BKWlpa4idAhKKyWVl2d5VFW40FSehKRUoUNQWm3WBgkdglI6O8JFsHN/TlHs8TVzcHekk5MTqlWrhuXLlwMA0tLSYGZmhmHDhmHChAlZ6nfs2BHx8fE4dOiQpKxGjRpwdHTEqlWrsn1eZsaJiIiIqEBKTEzE+/fvpbbExMQs9ZKSknDt2jU0bNhQUiYWi9GwYUNcvHhR5rEvXrwoVR8AmjRpIre+PHyaCuWaWuX0hQ5BIjExEb6+vvD09ISGhobQ4SgV9o18Stc3qsqR/VW6flEiytg3mqrK8W2TMvaNkBngbylj3wglJ5nrn+EzwxdTp06VKvP29oaPj49UWVRUFFJTU1GsWDGp8mLFiuHu3bsyjx0RESGzfkRERI5i5DIVKpDev38PXV1dxMXFoUgRLhH5FvtGPvaNbOwX+dg38rFv5GPf5J3ExMQsmXANDY0sH4Jev34NU1NTXLhwAc7OzpLy8ePH4++//0ZQUNYlTurq6ti4cSM6d+4sKfPz88PUqVMRGRmZ7RiZGSciIiKiAknWxFsWIyMjqKioZJlER0ZGwsTEROY+JiYmOaovD9eMExEREdFvTV1dHVWqVMHp06clZWlpaTh9+rRUpvxbzs7OUvUB4OTJk3Lry8PMOBERERH99kaPHo2ePXuiatWqqF69OhYvXoz4+Hj07t0bANCjRw+YmprC19cXADBixAjUrVsXCxYswB9//IHAwEBcvXoVa9asydF5ORmnAklDQwPe3t6//Y0xsrBv5GPfyMZ+kY99Ix/7Rj72jXLq2LEj3r59Cy8vL0RERMDR0RHHjh2T3KT5/PlziMVfF5W4uLhg27ZtmDx5MiZOnIhy5cph//79qFixYo7Oyxs4iYiIiIgEwjXjREREREQC4WSciIiIiEggnIwTEREREQmEk3EiIiIiIoFwMk5EREREJBBOxomIiLLp+fPn4EPIKLumTZuGT58+CR0GKTk+2pDyvT59+mDJkiXQ0dEROhSls2nTJnTs2JHPsv1JCQkJ0NLSEjqMPDVt2rRs1fPy8lJwJMpJRUUF4eHhMDY2FjoUpVK/fn3s3bsXenp6QoeiVDheKDs4Gad8jxc7+dg3PycxMRHLly/HvHnzEBERIXQ4eapSpUpy3xOJRLh37x4+f/6M1NTUPIxKeYjFYkRERPDfVCbsF9nYL5Qd/AVOyvf4eVI+9o18iYmJ8PHxwcmTJ6Guro7x48fDzc0N/v7+mDRpElRUVDBq1Cihw8xzN27ckFkeHByMCRMm4Pbt2+jfv38eR6VcRCKR0CFQPsLxQj/CyTgVCB8+fICmpuZ36xQpUiSPolEu/EMgm5eXF1avXo2GDRviwoULaN++PXr37o1Lly5h4cKFaN++PVRUVIQOU3BPnjzBlClTsGPHDrRp0wahoaEoV66c0GEJasqUKShUqNB36yxcuDCPolEed+7c+eE3Sfb29nkUjfKwsrL64XU4JiYmj6IhZcTJOBUIVlZWct9LT0+HSCT6bb9Wb9CgAVRVv/9P/fr163kUjfLYtWsXNm3ahJYtW+L27duwt7dHSkoKbt68yQ8wAKKiojB16lSsWbMGtWrVwoULF1CtWjWhw1IKt27dgrq6utz3f9fx06BBA5nfxolEot/6Ojx16lTo6uoKHQYpMU7GqUDYvXs3DAwMhA5DKTVp0gTa2tpCh6F0Xr58iSpVqgAAKlasCA0NDYwaNeq3nUh9ER8fj/nz52PhwoWwtLTEX3/9hcaNGwsdllLZt28f1wDLEBQUhKJFiwodhtLp1KkTxwt9FyfjVCDUrFmTFzs5xo0bx76RITU1VSq7qaqqyg8tACwsLPDhwwcMGzYMnTt3hkgkQkhISJZ6v+NyA+D3zXpnR6lSpXityYTjhbKDT1OhfI93q8vHp6nIJxaL0axZM8ljH//66y/Ur18fhQsXlqq3d+9eIcITjFj89ecnviwvyPz6d11uAPB6Iw/7RTb2C2UHM+OU75UuXZo32smRnc/aV69eRdWqVfMgGuXSs2dPqdfdunUTKBLl8uTJE6FDUGr+/v5c/ytD3bp1v7uOPjw8HDNnzsTy5cvzMCrhnThx4rsT8bS0NMyaNQuTJ0/Ow6hI2TAzTvmel5cXJkyYIHm6QWxsLPT19QWOSjk8e/YMpUqVQnx8PFRUVKR+wCY4OBhTpkzBkSNHftssJ1FO3b9/H+/evUP16tUlZadPn8aMGTMQHx8PNzc3TJw4UcAIhRMaGoqzZ89CXV0dHTp0gJ6eHqKiojBz5kysWrUKZcuWRWhoqNBh5il1dXUMGDAAc+fOzfIEntu3b6Nnz56IiIjAq1evBIqQlIH4x1WIlNvMmTPx8eNHyevSpUvj8ePHAkakPMRiMVxcXKCrqwtdXV2MHj0anz59Qo8ePeDk5ITChQvjwoULQoeptN68eSN0CIK5cuUKRo8ejT///BN//vknRo8ejatXrwodluA8PDxw6NAhyesnT56gRYsWUFdXh7OzM3x9fbF48WLhAhTIwYMHUalSJQwfPhyDBg1C1apVcfbsWZQvXx5hYWHYt2/fbzcRB4Dz58/j9OnTcHBwwP/+9z8AGdnwGTNmoEqVKrC2tsbt27cFjpIEl06Uz4lEovTIyEjJa21t7fRHjx4JGJHy6NixY7qjo2P6smXL0l1dXdPFYnF61apV093d3dNfvHghdHiC+n97dx4WZdX3Afw7w+aouIWiiKjkghs+mpXWmyuJSxopaLgEoiWPS4qpoGkupBW5gRpSrOojCYmKWuK+pJlXlqgoCiqWBaQCArKJc79/+DpvgwOOPTlnZu7v57q8ruY+t/CNS2Z+c+ac31GpVNKff/6peTxkyBDpjz/+0DzOycmRlEqliGjCzZkzR1IoFJKtra3UtWtXqWvXrlLdunUlpVIpzZ07V3Q8oRwdHaWTJ09qHgcHB0tdu3bVPI6MjNR6LBcvvviiNHPmTKmoqEhavXq1pFAopM6dO0unT58WHU240tJSacaMGZKVlZU0depU6YUXXpCaNGkibdu2TXQ0MhIsxsnksRivXrNmzaQffvhBkiRJys3NlRQKhbR69WqxoYzEk/7d5OTkSAqFQkQ0oWJjY6VatWpJa9eulSoqKjTXKyoqpNDQUKlWrVpSXFycwIRi1apVS/r11181j/v37y8tWLBA8zgzM1OqX7++gGRi1atXT8rIyJAkSZIqKyslCwsLaf/+/YJTGQ+1Wi15e3tLCoVCqlu3rpSeni46EhkRLlMhk6dQKFBUVITCwkLcvXsXCoUCxcXFKCws1PojR7m5uWjdujUAoEmTJqhduzYGDx4sOJXpkGNbsvXr12P58uWYNm0arKysNNetrKzw/vvvy3IT3l81atQI2dnZAB4uN/jpp5/Qs2dPzXhFRYVeG6fNTVFRkeaU40f7U5ydnQWnMg5Xr15F7969cejQIWzYsAGdO3dG3759sXPnTtHRyEiwmwqZPEmStE7glCQJ3bp103os91Zsf/3vmjoeEKWlpeHNN9+sdtzDwwMLFy40YCLj0rdvXwQHB+OLL75AYmIi1Go1+vbtqxm/ePEiWrVqJSyfSCkpKZpOM2q1GgcPHnxsPfTw4cNFRBNm3bp1CAoKgru7O5KSktC4cWNMmjQJn3/+Od5++214enpi7dq1aNCggeioJBCLcTJ5hw8fFh3BaD16o/Johre4uBjdunXTKtABIC8vT0Q8oRQKhdbMd9XHcmVhYYGKiopqx+/fvy/rVqLLli3D66+/rmmpGhYWptWbftOmTejfv7/AhOJUbRc6efJkrcdynBT56KOPEBERgbFjx2quKZVKBAYG4o033oCPjw86derEbioyx9aGJAt5eXlo1KiR6BgGFxcXp9d9VV9E5UCpVKJ+/fqaArygoAD16tXTvFGRJAmFhYWyKx769u2L1157DcHBwTrHFyxYgO+//x5HjhwxbDAjUllZibS0NDRu3BgODg5aY6mpqXB0dMRzzz0nKB0Zk+zsbDRr1qza8QcPHmD58uWy/rSJWIyTmdu3bx8iIyOxa9culJaWio5DRoRvVHTbvXs3PDw8MGvWLHzwwQewt7cHAOTk5GDlypVYs2YNtm/fjjfeeENwUiIi88BinMzOjRs3EB0djbi4OOTn52Pw4MEYOXIkvLy8REcTprS0FPv378eVK1cAAO3bt4ebm5vWIUByc+zYMbzyyiuwtORqvarWrl2L2bNno7KyUrMG+O7du7C0tERISAhmzJghOKE4s2bN0uu+VatWPeMkxikxMRHx8fGa55p27dphzJgx8PT0FJxMjCFDhiA+Pl7ze/Tpp5/C399fs0b8zp07eO2113Dx4kWBKUk0FuNkFioqKpCUlITIyEicOHECbm5u+O677/DLL7+gS5cuouMJlZycjEmTJuH27dta1+3s7BAVFYVhw4YJSiaWhYUFsrOzazyqWs5u3ryJxMREZGRkAHhYVI0cORItWrQQnEysfv366XWf3PayqNVqeHt7IzExEe3atYOLiwsA4NKlS8jMzISXlxfi4+Nlty+j6vNMvXr1cPbsWU2nmdzcXDg4OMhuORxp45QQmbzp06cjPj4ebdu2xbhx47B161Y899xzsLKykvVGMwA4efIkPD09MXz4cHzwwQfo0KEDgIcdH1auXAlPT08cPXpUqzWbXHAeomaOjo4ICAgQHcPoyK3I1ldoaCgOHDiA5OTkx5YwJScnY8KECQgNDcXMmTPFBBSk6vMMn3dIF86Mk8mztLREYGAggoKCYGtrq7luZWWF1NRUdOzYUWA6sYYMGYIWLVogIiJC5/jkyZPx22+/4dtvvzVwMvGUSiVyc3PRuHFj0VGMSnJysl73ya1Fnb6uXbsGf39/7Nu3T3QUg3J1dcXMmTPh5+enczwqKgqhoaE4d+6cgZOJpVQqkZOTo5kZt7W1RWpqKmfGSQtnxsnkbdq0CdHR0WjWrBmGDh2K8ePH82Cb/3Pq1Cl89tln1Y5PnToVffr0MWAi4+Lr6wsbG5sa70lKSjJQGuPg4eHxxHvk2KJOX0VFRTh48KDoGAaXkZEBNze3asfd3Nwwbdo0AyYyDrpapsptqQ49GYtxMnne3t7w9vbG9evXERsbi6lTp6KkpARqtRoXL16U9cx4aWmp5lQ8XerXr4+ysjIDJjIutra2st7EqotarRYdgUyQSqVCQUEBnJycdI4XFhaiVq1aBk4lniRJWm/6y8rK4O/vr+lNX15eLjIeGQkuUyGzI0kS9u3bh6ioKCQnJ8POzg4jRoxAWFiY6GgG5+rqioCAAEyYMEHneHR0NNasWSO7j46Bxz8+JvonpKamonv37rL75GDo0KFwcnJCeHi4znF/f3/8+uuvslsS5+vrq9dMeExMjAHSkLHizDiZHYVCAXd3d7i7uyMvLw8bN25EbGys6FhCTJgwAbNnz4a9vT2GDBmiNbZnzx7MnTsX8+fPF5SOjNGxY8f0uq93797POAmZkg8//BB9+/bFnTt3MHv2bLi4uECSJFy6dAkrV67Ezp07Zbn5Va6vPfR0ODNOZu/MmTNYtGgRdu/eLTqKwanVaowePRrbtm1D+/bt0aFDB80LZEZGBjw8PJCYmKg5dVJOODOuW03/Fh7N8CkUClRWVhoqklHp1q1bjTOdJSUlyMjIkN3MOABs374d7733HvLy8rSuN2zYEBERERg5cqSgZOKwhSrpgzPjZBZSUlKwf/9+WFtbY9KkSXB2dkZ6ejqCgoKwa9cuuLu7i44ohFKpRGJiIrZu3YotW7YgPT0dAODi4oLFixfj7bffFpxQrIqKCtERjE5+fr7O6yUlJQgNDUVYWJimE4Qc6bPBVa7eeustuLu7IyUlRas//cCBA1G7dm3B6cTgfCfpgzPjZPKioqLw7rvvolGjRsjPz8dzzz2HVatWYfr06Rg9ejRmzJih6a9N9AhnxvWjVqsRHR2NJUuWQKlUYvHixfDx8ZHlpyl/x4kTJ9CjR48ndu0xB5IkITMzExUVFWjfvj1PtwWfZ0g/LMbJ5Lm6umL8+PGYM2cOtm3bBi8vL/Ts2RMJCQlwdHQUHU8otVqNzz//HMnJyaioqMCAAQOwaNEidhABXyT1kZSUhPnz5+PWrVuYN28epk+fLoui8p9U9cRFc3X9+nUMHz5cc6y7o6Mjtm3bhh49eghOJpZSqcTHH3+MunXr1njf+++/b6BEZIxYjJPJq1OnDtLS0tCqVStIkgQbGxscPnwYr776quhowgUHB2Px4sVwc3ODSqVCSkoKvL29ER0dLTqacHyRrN7Ro0cRGBiI8+fPY8aMGQgMDET9+vVFxzJJVQ95MVeenp5IS0vDRx99hFq1amHFihUoLS3Fzz//LDqaUEqlEo6OjjWeBq1QKHDt2jUDpiJjw2KcTN6TTjiTs7Zt22L27NmYPHkyAODAgQMYOnQoSktLZb/MgC+Sug0ZMgQHDhyAn58fFi9ejKZNm4qOZNLk8nzUtGlTfPPNN/if//kfAEB2djYcHR1RWFio6aktR/wEjvTBYpxMXtUZzsDAQMyZMwd2dnZa98lxhtPGxgaZmZlo0aKF5lqtWrWQmZkp+yU8fJHUTalUwtLSEnXq1Kmxa0jVjhmkm1yKcaVSiezsbNjb22uu1a1bF+fPn0fr1q0FJhOL3VRIH9xdQSbPyckJX331leZx06ZNsWnTJq17FAqFLIvxysrKx069s7Kywv379wUlMh48klo3Hj5Cf4dCoUBxcbHWfhSlUomioiIUFhZqrtV0IrA54nwn6YPFOJm8rKws0RGMVtWjmIHHj2MGHm7Ukxu+SOrm4+MjOoJZkcubPkmS0K5du8eudevWTfPfCoVCdv3XFy1a9MR9KX81ZcoULF269LFPdsm8sRgns6BWqxEbG4ukpCRkZWVBoVDA2dkZI0eOxPjx42XzgliVrsJq3LhxApIYn6d9kSQCgF9//RUtWrTQ+zlFLm/65Hi6pj4WLVr0VPdv3rwZs2fPZjEuMyzGyeRJkoRhw4bhu+++Q9euXdGlSxfNKZO+vr5ISkrCjh07RMcUgksOqqdSqbQKqqr9oIuKihAYGIgvvvhCVEQhGjZsqFehKdc1461bt36qNcBFRUXPOJFx6NOnj+gIZkEub95IGzdwksmLiYnBjBkzsHPnTvTr109r7NChQ/Dw8MC6devwzjvvCEpo3P78809Zbi6qurGqaj/o3NxcODg4yO5j9bi4OL3uk+tyFm781S0hIQEeHh6wtrYGANy8eRMODg6ark0lJSVYt24d5s6dKzKm0ZPLhl/SxmKcTN7AgQPRv39/BAUF6Rxfvnw5jh49ipSUFAMnE6927dq4ceMGGjduDAAYOnQoIiMj0axZMwDyLTiBJ7fElPPPhqqnVCqRm5ur+Z2ih/jm9p/BYlyeuEyFTN65c+cQEhJS7fjgwYMRFhZmwETGo6ysTOtjz2PHjqG0tFTrHr4fp6q2bt2qdWqrv7+/6EhGZeHChahdu3aN96xatcpAaYxD1ecRPq8Q6Y/FOJm8vLw8rd62Vdnb2yM/P9+AiUyLXDe3km7h4eGYOnUq2rZtC5VKhaSkJFy9ehWff/656GhG4/z585rlGLrwd4qIngaLcTJ5Dx48gKVl9f+ULSwsUFlZacBEZCoiIyM1HVUqKysRGxur6WIgl413Va1btw6LFi3SdIHYvHkzJk+ezGL8L7Zv38414/RMjBs3Tna92IlrxskMKJVKDB48WKuX9l+Vl5dj7969slyraGFhgZycHM361nr16iE1NVVzIp6c13G2atXqiTOYCoUC165dM1Ai46BSqXDp0iW0atUKwMO2oSqVCllZWZq9BnLGExV1UyqViIuLQ/369QEA3t7eWLNmjeZTy4KCAkyYMEF2zzW3b9/GvXv30LJlS821tLQ0rFixAvfu3YOHhwfGjBkjMCEZA86Mk8nTp6uDXDupPDqI41HRWVxcjG7dumk6HMj5vfiTDou6efMmli5dapgwRqS8vFzrQCilUglra+vH9hrIlZx/Z56k6nPx5MmTBSUxHtOnT4eDgwNWrlwJ4GH3qtdeew0ODg54/vnn4evriwcPHmD8+PGCk5JILMbJ5LGXdvX4s/n77ty5g6ioKHz55Zeioxhc1Q2KFRUVWLZsmWbWE5DfBsVHYmJitH4O9JBarX7iPSUlJQZIYlxOnTqF2NhYzeONGzeiUaNGOHv2LCwtLbFixQqsX7+exbjMcZkKEZEOqamp6N69u+w+Vu/bt69ey3cOHTpkoETG5dixY3rd17t372ecxHSUl5dj/fr1CAkJQU5Ojug4BqVSqZCenq5ZpjJkyBB07txZ0wHsypUr6NWrF+7cuSMyJgnGmXEiGcvOzsayZcuwbt060VHISBw5ckTr8e3btwGAx3P/n0dvVnTNYz16E6NQKGS3aby8vByLFy/G/v37YW1tjblz58LDwwPR0dFYsGABLCwsEBAQIDqmwdWrVw8FBQWaYvz06dOYOHGiZlyhUKC8vFxUPDISStEBiOjZSktLw7p16/Dll1+ioKAAwMMCKyAgAM7Ozjh8+LDYgGR0CgoKMHXqVNjZ2cHe3h729vaws7PDtGnTNP+G5Co/Px95eXnIz8/X+vP7779jzpw5sLGxgYuLi+iYBvfRRx8hPDwcrVq1QlZWFry8vPDee+9hzZo1WLVqFbKyshAYGCg6psH17NkTYWFhUKvV+Oabb1BUVIT+/ftrxq9cuYIWLVoITEjGgDPjRGYsOTkZnp6emlm6kJAQfPXVVxg1ahReeOEFbN++HYMGDRKcUowRI0bUOC7XojMvLw+9evXC77//jrFjx6JDhw4AgIsXLyI2NhYHDx7EyZMn0bBhQ8FJxai6XlytViM6OhpLliyBUqnE+vXr9dpUbm4SExOxceNGDB8+HBcuXICrqysqKyuRmpoq677rwcHBGDBgADZv3ozKykrMnz9f63fn66+/Rp8+fQQmJGPANeNEZuyll17Cq6++iuDgYERGRmLWrFno1KkToqOj8eKLL4qOJ9SECRP0uk9um2BnzpyJgwcP4sCBA48dppWTk4OBAwdiwIABWL16taCExiMpKQnz58/HrVu3MG/ePEyfPr3aFqvmztraGtevX0fz5s0BPFwrffr0aXTp0kVwMvFu376NEydOoGnTpnj55Ze1xvbs2YOOHTtq2s2SPLEYJzJj9evXx5kzZ9CmTRs8ePAANjY22Lt3L9zc3ERHIyPVqlUrREREwN3dXef43r174e/v/8TWkObs6NGjCAwMxPnz5zFjxgwEBgbKvsNK1TMNbG1tce7cORaZRHrgMhUiM1ZUVKQ5zc3CwgIqlQrOzs6CU5Exy87ORqdOnaod79y5s+w6YvzVkCFDcODAAfj5+WHHjh1o2rSp6EhGQZIk+Pr6aj4ZKCsrg7+/v1bPeuDhpwlyMmvWLJ3X69evj3bt2mHEiBGy/TSF/h+LcSIzl5KSopm1U6vVOHjwIC5cuKB1z/Dhw0VEIyNkZ2eHrKwsODo66hy/fv06GjVqZOBUxmPv3r2wtLTE1q1bkZCQUO19eXl5BkwlXtV18uPGjROUxLj88ssvOq8XFBQgMzMTCxcuxKFDh+Dk5GTgZGRMuEyFyIw9OmmzJgqFQna9tKl6fn5+uHr1qqZF3V+Vl5fD3d0dzs7OiI6OFpRQrLi4OL3uk+MmTno6hYWFGDt2LGxtbbFlyxbRcUggFuNERKRx8+ZN9OjRAzY2Npg6dSpcXFwgSRIuXbqEL774AuXl5fjpp5/Yjo3oH3D69Gl4eXnhxo0boqOQQOwzTkQaQ4cORXZ2tugYJJCjoyN++OEHdOzYEfPmzYOHhwfeeustfPjhh+jYsSNOnDgh60L89OnTNX6SVF5eXuPyFaK/srOzk92SJnocZ8aJSMPW1hapqanc5EkAHh5wk5GRAQBo06aNrNeKP2JhYYHs7Gw0adIEwMMTFs+ePav5ncnNzYWDgwOXfpFetmzZgpCQEJw9e1Z0FBKIGziJiEinhg0b4qWXXhIdw6hUnb/SNZ/FOS565Ny5czqv3717F2fOnMHy5cuxaNEiA6ciY8NinIiI6B8k5xMnSdu//vUvKBQKnW/Q7OzsMGvWLEyZMkVAMjImLMaJiIiInoHr16/rvF6vXj00bNjQwGnIWLEYJyIiegoXL17UHHwkSRLS09NRXFwM4OHR50SPtGzZUnQEMgHcwElEGtzASVQzpVJZ7bKDR9fZu5+qSkxMRHx8PK5cuQIAaNeuHcaMGQNPT0/BycgYcGacSMb+/PNPREZGYv78+QCA+fPns2MGUQ2qW3ZApItarYa3tzcSExPRrl07uLi4AADS0tIwevRoeHl5IT4+nvsMZI4z40Qylpqaiu7du3MWj4joGVi9ejU+/vhjxMXF4Y033tAaS05OxoQJE7Bw4ULMnDlTTEAyCizGiWSMxTjR06muVV1Vrq6uzzgJmQJXV1fMnDkTfn5+OsejoqIQGhqq978rMk8sxolkjMU40dOpac34I1wzTo+oVCpcvnwZTk5OOsdv3LgBFxcXlJaWGjgZGROuGSciItIT14zT01CpVCgoKKi2GC8sLEStWrUMnIqMDYtxIjM2a9asGsdv3bploCRE5oGt6uhp9OrVC+Hh4QgPD9c5vn79evTq1cvAqcjYsBgnMmO//PLLE+/p3bu3AZIQmYd79+5h9uzZSE5ORkVFBQYMGIC1a9eicePGoqOREfrwww/Rt29f3LlzB7Nnz4aLiwskScKlS5ewcuVK7Ny5E4cPHxYdkwTjmnEiIiI9zZo1C19++SXGjh2LWrVqIT4+Hq+++iq2b98uOhoZqe3bt+O9995DXl6e1vWGDRsiIiICI0eOFJSMjAWLcSIZu3TpEqKiorBixQrRUYhMQuvWrRESEgIvLy8AwJkzZ9CzZ0+UlpbC0pIfNpNuJSUlSElJQUZGBoCHh/4MHDgQtWvXFpyMjAGLcSKZuXfvHr7++mtERUXh1KlT6NixIy5cuCA6FpFJsLKywo0bN+Dg4KC5Vrt2baSnp1e7SY+IqCZ8G08kEydOnEBUVBQSEhJQWlqKgIAAREdHa06EI6InU6vVsLKy0rpmaWnJVoakU1hYmF73vf/++884CRkzzowTmbE///wTsbGxiI6Oxt27d+Ht7Y0xY8agV69eSE1NRceOHUVHJDIpSqUSnTt31lqScu7cObi4uMDa2lpz7eeffxYRj4xM69atn3iPQqHAtWvXDJCGjBVnxonMWMuWLeHp6YnQ0FC8/vrrUCqVoiMRmbRFixY9du3NN98UkIRMAfvSkz5YjBOZsZYtW+L777+Hk5MTWrZsySUpRP8lXcU40X/j999/R/PmzUXHIIE4TUZkxtLT07F582ZkZ2fjxRdfxAsvvIDVq1cDePjRKBERiZGTk4Pp06ejbdu2oqOQYFwzTiQTxcXFiI+PR0xMDE6dOoU+ffpgzJgx8PDw4IElRHrq1q2bXm9kuWacACA/Px9TpkzB/v37YW1tjaCgIEybNg2LFy/GihUr4OrqioCAAIwePVp0VBKIxTiRDD3qL75p0ybk5eXh/v37oiMRmYQlS5bodR+XsxAATJ48GXv37oWXlxdSUlJw8eJFuLu7Q6lUYsGCBejZs6foiGQEWIwTydj9+/exa9cujBgxQnQUIiKz4+TkhNjYWPTv3x9ZWVlwdnZGUFAQli9fLjoaGREW40RERHoqKyvDvn370K9fP9ja2mqNFRYW4siRI3B3d4eNjY2ghGRMLC0t8dtvv6FZs2YAHh4Q9dNPP7GtLGnhBk4iM6ZUKmFhYVHjHx7hTaS/iIgIhIaGPlaIA0C9evUQFhaGr776SkAyMkaSJGk9x1pYWEClUglMRMaIM+NEZmznzp3Vjv3www8ICwuDWq1GWVmZAVMRma6XXnoJCxcuxLBhw3SO7969G0uXLsXp06cNnIyMUdVDonQdEAVww6/ccUqMyIzpOozk8uXLCAoKwq5duzB27FgsXbpUQDIi05SRkYGuXbtWO+7q6oqMjAwDJiJjVnUjLw+IIl1YjBPJxB9//IFFixYhLi4O7u7uOHv2LDp37iw6FpFJqaysxK1bt+Dk5KRz/NatW6isrDRwKjJW7KpD+uCacSIzd/fuXQQGBqJNmzZIS0vDwYMHsWvXLhbiRH9Dp06dcODAgWrH9+3bh06dOhkwEZmqwsJChIeHo0ePHqKjkGAsxonMWEhICJydnbF7927Ex8fj5MmTeO2110THIjJZfn5+CA4Oxu7dux8b27VrF5YtWwY/Pz8BychUHD58GOPHj0ezZs0QHByMl19+WXQkEowbOInMmFKphEqlgpubGywsLKq9LykpyYCpiEzbuHHjsGXLFri4uKB9+/YAgPT0dFy5cgWjRo1CfHy84IRkbH7//XfExsYiJiYGBQUFyM/Px5YtWzBq1Ci9TnQl88ZinMiM+fr66vVEHxMTY4A0ROYjISEBW7ZsQUZGBiRJQrt27TBmzBiMGjVKdDQyItu2bUNUVBSOHTuGwYMHY9y4cRg8eDDq1KmD1NRU9hsnACzGiYiIiJ4JS0tLBAYGIigoSKs3vZWVFYtx0uCacSIiIj0lJCSgoqJC8/jmzZtQq9WaxyUlJQgJCRERjYzQxIkTsX79egwaNAgbNmxAfn6+6EhkhDgzTmTGRowYodd9XDNOpB8LCwtkZ2ejSZMmAB6eunn27Fk4OzsDAHJzc+Hg4IAHDx6IjElGpLS0FAkJCYiOjsaPP/4Id3d37Nmzh+1lSYMz40RmrH79+nr9ISL9VJ2/4nwW1eTChQtQqVTw8fHB0aNHcf78eXTs2BH29vZ49dVXMWbMGE6GEGfGiczZtWvX0KpVKyiVfN9N9E9QKpXIycnRzIzb2toiNTWVM+Okk1KpxIsvvohJkybB29sbdevWBQCo1Wrs2bMHUVFR+O6771BeXi44KYnEV2giM9a2bVvcvn1b83j06NHIzc0VmIiISD6OHj2KTp064YMPPkDTpk3h4+OD48ePQ6lUYtiwYdixYwd+++030TFJMM6ME5mxJ83iEdHTUSqViIuL0yzv8vb2xpo1a2Bvbw8AKCgowIQJEzgzTlru3buHhIQExMbG4vjx42jTpg0mTpwIHx8fNG3aVHQ8EozFOJEZYzFO9M/Sd8nXXzusEP1VZmYmYmJisGnTJuTk5GDQoEFITk4WHYsEshQdgIieHYVC8dihPzztjejv06fILikpMUASMlVt2rTB/Pnz0bJlS8ybNw979uwRHYkEYzFOZMYkSYKvry9sbGwAAGVlZfD390edOnW07uNufqL/Xnl5OdavX4+QkBDk5OSIjkNG6NixY4iOjsa2bdugVCoxatQoTJw4UXQsEozFOJEZ8/Hx0Xo8btw4QUmIzEN5eTkWL16M/fv3w9raGnPnzoWHhweio6OxYMECWFhYICAgQHRMMiJ//PEHYmNjERsbi8zMTLzyyisICwvDqFGjHpsYIXnimnEiIiI9BQYGIiIiAm5ubjh58iRu3bqFCRMm4NSpU5g/fz68vLxgYWEhOiYZicGDB+PAgQOws7PDO++8Az8/P7Rv3150LDIynBknIiLSU2JiIjZu3Ijhw4fjwoULcHV1RWVlJVJTU7kfgx5jZWWFb775Bm+88QbfpFG1ODNORESkJ2tra1y/fh3NmzcHAKhUKpw+fRpdunQRnIyITBUP/SEiItLTgwcPYG1trXlsaWmpOVWRiOjv4DIVIiIiPbFDERH901iMExER6Ykdiojon8Y140REREREgnDNOBERERGRICzGiYiIiIgEYTFORERERCQIi3EiIiIiIkFYjBMRkRZfX194eHhoHvft2xczZ840eI4jR45AoVCgoKDA4N+biMhQWIwTEZkIX19fKBQKKBQKWFtbo02bNli6dCkqKyuf6fdNSkpCcHCwXveygCYiejrsM05EZEIGDRqEmJgYlJeX49tvv8XUqVNhZWWFefPmad1XUVGhdVLkf6NRo0b/yNchIqLHcWaciMiE2NjYoGnTpmjZsiX+/e9/w83NDcnJyZqlJcuWLYODgwPat28PAPjtt98watQoNGjQAI0aNcKbb76JrKwszdd78OABZs2ahQYNGuC5557D3LlzUfX4iarLVMrLyxEYGIgWLVrAxsYGbdq0QVRUFLKystCvXz8AQMOGDaFQKODr6wsAUKvV+OSTT9C6dWuoVCp07doV33zzjdb3+fbbb9GuXTuoVCr069dPKycRkbliMU5EZMJUKhUqKioAAAcPHsTly5exf/9+7N69G/fv34e7uztsbW1x/PhxnDhxAnXr1sWgQYM0f2flypWIjY1FdHQ0vv/+e+Tl5WH79u01fs933nkH8fHxCAsLw6VLlxAREYG6deuiRYsW2LZtGwDg8uXLyM7ORmhoKADgk08+wcaNG7FhwwakpaUhICAA48aNw9GjRwE8fNMwYsQIDBs2DGfPnsWkSZMQFBT0rH5sRERGg8tUiIhMkCRJOHjwIFJSUjB9+nTcunULderUQWRkpGZ5yubNm6FWqxEZGQmFQgEAiImJQYMGDXDkyBEMHDgQa9aswbx58zBixAgAwIYNG5CSklLt971y5QoSEhKwf/9+uLm5AQCcnZ0144+WtDRp0gQNGjQA8HAmffny5Thw4AB69eql+Tvff/89IiIi0KdPH4SHh+P555/HypUrAQDt27fH+fPn8dlnn/2DPzUiIuPDYpyIyITs3r0bdevWxf3796FWqzFmzBgsXrwYU6dORZcuXbTWiaempiIzMxO2trZaX6OsrAxXr17F3bt3kZ2djZdfflkzZmlpiR49ejy2VOWRs2fPwsLCAn369NE7c2ZmJkpKSvD6669rXa+oqEC3bt0AAJcuXdLKAUBTuBMRmTMW40REJqRfv34IDw+HtbU1HBwcYGn5/0/jderU0bq3uLgYL7zwAv7zn/889nUaN278t76/SqV66r9TXFwMANizZw+aN2+uNWZjY/O3chARmQsW40REJqROnTpo06aNXvd2794dW7duRZMmTVCvXj2d9zRr1gw//vgjevfuDQCorKzEmTNn0L17d533d+nSBWq1GkePHtUsU/mrRzPzDx480Fzr2LEjbGxs8Ouvv1Y7o96hQwckJydrXTt16tST/yeJiEwcN3ASEZmpsWPHws7ODm+++SaOHz+O69ev48iRI3j//fdx8+ZNAMCMGTPw6aefYseOHUhPT8eUKVNq7BHeqlUr+Pj4wM/PDzt27NB8zYSEBABAy5YtoVAosHv3bty6dQvFxcWwtbXF7NmzERAQgLi4OFy9ehU///wz1q5di7i4OACAv78/MjIyMGfOHFy+fBlbtmxBbGzss/4REREJx2KciMhM1a5dG8eOHYOTkxNGjBiBDh06YOLEiSgrK9PMlH/wwQcYP348fHx80KtXL9ja2uKtt96q8euGh4fD09MTU6ZMgYuLC959913cu3cPANC8eXMsWbIEQUFBsLe3x7Rp0wAAwcHBWLhwIT755BN06NABgwYNwp49e9C6dWsAgJOTE7Zt24YdO3aga9eu2LBhA5YvX/4MfzpERMZBIVW3S4eIiIiIiJ4pzowTEREREQnCYpyIiIiISBAW40REREREgrAYJyIiIiIShMU4EREREZEgLMaJiIiIiARhMU5EREREJAiLcSIiIiIiQViMExEREREJwmKciIiIiEgQFuNERERERIL8L5KKOrzUuGfSAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -1645,7 +1667,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -1669,7 +1691,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -1699,7 +1721,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -2164,7 +2186,7 @@ "[9851 rows x 19 columns]" ] }, - "execution_count": 29, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -2182,45 +2204,71 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "document_type\n", - "NaN 0.991777\n", - "VARIOUS_TEXT 0.002639\n", - "LETTER 0.001320\n", - "REPORT 0.001117\n", - "DRAFT 0.001015\n", - "SYNOPTIC_TABLE 0.000914\n", - "RECIPIENT_LIST 0.000812\n", - "SURVEY 0.000406\n", - "DECISION 0.000000\n", - "FINAL_REPORT 0.000000\n", - "LINK 0.000000\n", - "OPINION 0.000000\n", - "RESPONSE_FORM 0.000000\n", - "Name: proportion, dtype: float64" + "NaN 9770\n", + "VARIOUS_TEXT 26\n", + "LETTER 13\n", + "REPORT 11\n", + "DRAFT 10\n", + "SYNOPTIC_TABLE 9\n", + "RECIPIENT_LIST 8\n", + "SURVEY 4\n", + "DECISION 0\n", + "FINAL_REPORT 0\n", + "LINK 0\n", + "OPINION 0\n", + "RESPONSE_FORM 0\n", + "Name: count, dtype: int64" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_opd[\"document_type\"].value_counts(dropna=False, normalize=True)" + "df_opd[\"document_type\"].value_counts(dropna=False)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "document_type\n", + "NaN 9770\n", + "VARIOUS_TEXT 39\n", + "LETTER 13\n", + "REPORT 11\n", + "DRAFT 10\n", + "RECIPIENT_LIST 8\n", + "DECISION 0\n", + "FINAL_REPORT 0\n", + "LINK 0\n", + "OPINION 0\n", + "RESPONSE_FORM 0\n", + "SURVEY 0\n", + "SYNOPTIC_TABLE 0\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "df_opd = df_opd.loc[df_opd[\"document_type\"].isna()]" + "df_opd[\"document_type\"] = merge_classes(df_opd[\"document_type\"])\n", + "df_opd[\"document_type\"].value_counts(dropna=False)" ] }, { @@ -2239,15 +2287,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 9770/9770 [00:22<00:00, 434.32it/s]\n", - "Embedding (cached=9766, new=3): 100%|█████████▉| 9767/9770 [00:06<00:00, 1523.87it/s]\n" + "100%|██████████| 9851/9851 [00:24<00:00, 395.94it/s]\n", + "Embedding (cached=9850, new=0): 100%|██████████| 9851/9851 [00:06<00:00, 1560.02it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(9770, 3072)\n" + "(9851, 3072)\n" ] } ], @@ -2265,7 +2313,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -2281,7 +2329,7 @@ }, { "cell_type": "code", - "execution_count": 162, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -2300,6 +2348,8 @@ "ground_truth = pd.read_excel(REPOSITORY_ROOT / \"research\" / \"document_types\" / \"ground_truth.xlsx\")[\n", " [\"document_id\", \"ground_truth\"]\n", "].set_index(\"document_id\")\n", + "ground_truth[\"ground_truth\"] = merge_classes(ground_truth[\"ground_truth\"])\n", + "\n", "ground_truth = ground_truth.dropna()\n", "\n", "sample_batch = df_opd[df_opd[\"document_id\"].isin(ground_truth.index)].copy()\n", @@ -2315,19 +2365,19 @@ }, { "cell_type": "code", - "execution_count": 163, + "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/14 11:34:24 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" + "2025/01/14 15:46:37 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" ] } ], "source": [ - "sample_batch[\"prediction_rule\"] = document_title_rule_model.predict(sample_batch).tolist()\n", + "sample_batch[\"prediction_rule\"] = merge_classes(document_title_rule_model.predict(sample_batch))\n", "\n", "sample_predictions = classifier.predict(sample_batch[\"embedding\"].tolist())\n", "sample_batch[\"prediction_ml\"] = y_encoder.inverse_transform(sample_predictions.reshape(-1, 1)).reshape(1, -1)[0]" @@ -2342,7 +2392,7 @@ }, { "cell_type": "code", - "execution_count": 164, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -2358,15 +2408,13 @@ }, { "cell_type": "code", - "execution_count": 165, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "# ground_truth = pd.read_excel(REPOSITORY_ROOT / \"research\" / \"document_types\" / \"ground_truth.xlsx\")[\n", "# [\"document_id\", \"ground_truth\"]\n", - "# ].set_index(\"document_id\")\n", - "\n", - "sample_batch_with_ground_truth = sample_batch.join(ground_truth, on=\"document_id\")" + "# ].set_index(\"document_id\")" ] }, { @@ -2378,774 +2426,776 @@ }, { "cell_type": "code", - "execution_count": 166, + "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 document_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_mldocument_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_ml
3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTDRAFT
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenSURVEYNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)RESPONSE_FORMSURVEYVARIOUS_TEXT
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTSYNOPTIC_TABLE
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTVARIOUS_TEXT
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3992740063arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)SYNOPTIC_TABLEVARIOUS_TEXTVARIOUS_TEXT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)SYNOPTIC_TABLENoneVARIOUS_TEXT
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneOPINION
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTOPINION
4270243344luvnldocGesetzesentwurfSYNOPTIC_TABLEDRAFTDRAFT
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026SYNOPTIC_TABLESYNOPTIC_TABLEVARIOUS_TEXT
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneDRAFT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneREPORT
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneDRAFT
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneDRAFT
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneVARIOUS_TEXT
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTDRAFT
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTDRAFT
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTVARIOUS_TEXT
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionRESPONSE_FORMNoneOPINION
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionSYNOPTIC_TABLENoneOPINION
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneDRAFT
4971450719nwvnldoc04_Synopse kStG_ÜStGSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneDRAFT
4979750802urvnldocRichtlinien RevisionDRAFTNoneDRAFT
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTDRAFT
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5092352424zgvnldoc3) AntwortformularRESPONSE_FORMRESPONSE_FORMVARIOUS_TEXT3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)VARIOUS_TEXTVARIOUS_TEXTDRAFT
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTDRAFT
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenVARIOUS_TEXTNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTVARIOUS_TEXT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTVARIOUS_TEXT
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3992740063arvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTDRAFT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)VARIOUS_TEXTNoneVARIOUS_TEXT
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneOPINION
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTOPINION
4270243344luvnldocGesetzesentwurfVARIOUS_TEXTDRAFTDRAFT
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneDRAFT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneFINAL_REPORT
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneDRAFT
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneDRAFT
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneVARIOUS_TEXT
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTVARIOUS_TEXT
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTDRAFT
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTVARIOUS_TEXT
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionVARIOUS_TEXTNoneVARIOUS_TEXT
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionVARIOUS_TEXTNoneOPINION
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneDRAFT
4971450719nwvnldoc04_Synopse kStG_ÜStGVARIOUS_TEXTVARIOUS_TEXTDRAFT
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneVARIOUS_TEXT
4979750802urvnldocRichtlinien RevisionDRAFTNoneVARIOUS_TEXT
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTDRAFT
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5092352424zgvnldoc3) AntwortformularVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 166, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "sample_batch_with_ground_truth = sample_batch.join(ground_truth, on=\"document_id\")\n", + "\n", "sample_batch_with_ground_truth[\n", " [\n", " \"document_id\",\n", @@ -3167,7 +3217,7 @@ }, { "cell_type": "code", - "execution_count": 167, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -3183,7 +3233,7 @@ }, { "cell_type": "code", - "execution_count": 168, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -3192,20 +3242,17 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.53 0.67 0.59 15\n", + " DRAFT 0.47 0.53 0.50 15\n", " FINAL_REPORT 0.00 0.00 0.00 1\n", " LETTER 1.00 0.80 0.89 5\n", " OPINION 0.00 nan 0.00 0\n", "RECIPIENT_LIST 1.00 0.86 0.92 7\n", - " REPORT 0.69 0.73 0.71 15\n", - " RESPONSE_FORM nan 0.00 0.00 3\n", - " SURVEY nan 0.00 0.00 1\n", - "SYNOPTIC_TABLE 0.67 0.20 0.31 10\n", - " VARIOUS_TEXT 0.23 0.33 0.27 9\n", + " REPORT 0.67 0.67 0.67 15\n", + " VARIOUS_TEXT 0.63 0.52 0.57 23\n", "\n", - " accuracy 0.55 66\n", - " macro avg 0.51 0.40 0.37 66\n", - " weighted avg 0.63 0.55 0.54 66\n", + " accuracy 0.61 66\n", + " macro avg 0.54 0.56 0.51 66\n", + " weighted avg 0.66 0.61 0.63 66\n", "\n" ] } @@ -3222,18 +3269,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, + "execution_count": 43, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -3254,7 +3302,7 @@ }, { "cell_type": "code", - "execution_count": 170, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -3268,14 +3316,11 @@ " LETTER 1.00 1.00 1.00 5\n", "RECIPIENT_LIST 1.00 0.80 0.89 5\n", " REPORT 0.91 1.00 0.95 10\n", - " RESPONSE_FORM 1.00 0.50 0.67 2\n", - " SURVEY 0.00 nan 0.00 0\n", - "SYNOPTIC_TABLE 1.00 0.75 0.86 8\n", - " VARIOUS_TEXT 0.38 0.75 0.50 4\n", + " VARIOUS_TEXT 0.75 0.86 0.80 14\n", "\n", - " accuracy 0.81 43\n", - " macro avg 0.77 0.69 0.63 43\n", - " weighted avg 0.89 0.81 0.83 43\n", + " accuracy 0.86 43\n", + " macro avg 0.90 0.73 0.74 43\n", + " weighted avg 0.87 0.86 0.85 43\n", "\n" ] } @@ -3287,17 +3332,17 @@ }, { "cell_type": "code", - "execution_count": 174, + "execution_count": 45, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 174, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -3324,7 +3369,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ From ec4de324db0911fd1d52d2fa95045213ed1fb538 Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Wed, 15 Jan 2025 10:13:56 +0100 Subject: [PATCH 05/12] A few more true labels --- .../VM_document_type_classifier.ipynb | 1692 +++++++++-------- research/document_types/ground_truth.xlsx | Bin 26275 -> 26279 bytes 2 files changed, 923 insertions(+), 769 deletions(-) diff --git a/research/document_types/VM_document_type_classifier.ipynb b/research/document_types/VM_document_type_classifier.ipynb index 9c7edaa..e7daec7 100644 --- a/research/document_types/VM_document_type_classifier.ipynb +++ b/research/document_types/VM_document_type_classifier.ipynb @@ -2329,14 +2329,14 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 47, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "66\n" + "80\n" ] } ], @@ -2365,14 +2365,14 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 48, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/14 15:46:37 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" + "2025/01/15 10:11:17 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" ] } ], @@ -2392,7 +2392,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -2408,7 +2408,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -2426,769 +2426,923 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 document_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_mldocument_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_ml
3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)VARIOUS_TEXTVARIOUS_TEXTDRAFT
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTDRAFT
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenVARIOUS_TEXTNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTVARIOUS_TEXT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTVARIOUS_TEXT
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3992740063arvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTDRAFT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)VARIOUS_TEXTNoneVARIOUS_TEXT
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneOPINION
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTOPINION
4270243344luvnldocGesetzesentwurfVARIOUS_TEXTDRAFTDRAFT
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneDRAFT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneFINAL_REPORT
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneDRAFT
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneDRAFT
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneVARIOUS_TEXT
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTVARIOUS_TEXT
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTDRAFT
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTVARIOUS_TEXT
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionVARIOUS_TEXTNoneVARIOUS_TEXT
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionVARIOUS_TEXTNoneOPINION
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneDRAFT
4971450719nwvnldoc04_Synopse kStG_ÜStGVARIOUS_TEXTVARIOUS_TEXTDRAFT
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneVARIOUS_TEXT
4979750802urvnldocRichtlinien RevisionDRAFTNoneVARIOUS_TEXT
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTDRAFT
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5092352424zgvnldoc3) AntwortformularVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)VARIOUS_TEXTVARIOUS_TEXTDRAFT
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTDRAFT
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3907439098agvnldocBeilage 3 zum Anhörungsbericht (Synopse GGV) (PDF, 2 Seiten, 81 KB)VARIOUS_TEXTVARIOUS_TEXTREPORT
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenVARIOUS_TEXTNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTVARIOUS_TEXT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTVARIOUS_TEXT
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3977939915arvnldocBegleitschreiben VernehmlassungLETTERLETTERLETTER
3992740063arvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTDRAFT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4041040548bevnldocVortrag: Vortrag-02.09.2020-de (PDF)REPORTREPORTREPORT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)VARIOUS_TEXTNoneVARIOUS_TEXT
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneOPINION
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTOPINION
4270243344luvnldocGesetzesentwurfVARIOUS_TEXTDRAFTDRAFT
4275043392luvnldocBegleitbriefLETTERLETTERVARIOUS_TEXT
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneDRAFT
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneFINAL_REPORT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneFINAL_REPORT
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneDRAFT
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneDRAFT
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411944769szvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTDRAFT
4427944929szvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneVARIOUS_TEXT
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTVARIOUS_TEXT
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTDRAFT
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTVARIOUS_TEXT
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionVARIOUS_TEXTNoneVARIOUS_TEXT
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionVARIOUS_TEXTNoneOPINION
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4726048147zhvnldocBegleitschreiben Vernehmlassung Planen und Bauen im Uferbereich von SeenLETTERLETTERLETTER
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4840649323glvnldocBegleitschreiben Vernehmlassung [pdf, 67 KB]LETTERLETTERLETTER
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneDRAFT
4971450719nwvnldoc04_Synopse kStG_ÜStGVARIOUS_TEXTVARIOUS_TEXTDRAFT
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneVARIOUS_TEXT
4979750802urvnldocRichtlinien RevisionDRAFTNoneVARIOUS_TEXT
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5004651051urvnldocGesetzesentwurfDRAFTDRAFTDRAFT
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTDRAFT
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5092352424zgvnldoc3) AntwortformularVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5104452559aivnldocBegleitschreiben zur Revision des Gesetzes über den Fristenlauf (FriG)LETTERLETTERLETTER
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneOPINION
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 40, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -3217,7 +3371,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -3233,7 +3387,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -3242,17 +3396,17 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.47 0.53 0.50 15\n", - " FINAL_REPORT 0.00 0.00 0.00 1\n", - " LETTER 1.00 0.80 0.89 5\n", + " DRAFT 0.47 0.53 0.50 17\n", + " FINAL_REPORT 0.50 0.50 0.50 4\n", + " LETTER 1.00 0.80 0.89 10\n", " OPINION 0.00 nan 0.00 0\n", "RECIPIENT_LIST 1.00 0.86 0.92 7\n", - " REPORT 0.67 0.67 0.67 15\n", - " VARIOUS_TEXT 0.63 0.52 0.57 23\n", + " REPORT 0.65 0.69 0.67 16\n", + " VARIOUS_TEXT 0.62 0.50 0.55 26\n", "\n", - " accuracy 0.61 66\n", - " macro avg 0.54 0.56 0.51 66\n", - " weighted avg 0.66 0.61 0.63 66\n", + " accuracy 0.61 80\n", + " macro avg 0.61 0.65 0.58 80\n", + " weighted avg 0.67 0.61 0.64 80\n", "\n" ] } @@ -3269,17 +3423,17 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 54, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 43, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -3302,7 +3456,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -3311,16 +3465,16 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.86 0.75 0.80 8\n", - " FINAL_REPORT nan 0.00 0.00 1\n", - " LETTER 1.00 1.00 1.00 5\n", + " DRAFT 0.89 0.80 0.84 10\n", + " FINAL_REPORT 1.00 0.50 0.67 2\n", + " LETTER 1.00 1.00 1.00 10\n", "RECIPIENT_LIST 1.00 0.80 0.89 5\n", - " REPORT 0.91 1.00 0.95 10\n", - " VARIOUS_TEXT 0.75 0.86 0.80 14\n", + " REPORT 0.92 1.00 0.96 11\n", + " VARIOUS_TEXT 0.79 0.88 0.83 17\n", "\n", - " accuracy 0.86 43\n", - " macro avg 0.90 0.73 0.74 43\n", - " weighted avg 0.87 0.86 0.85 43\n", + " accuracy 0.89 55\n", + " macro avg 0.93 0.83 0.86 55\n", + " weighted avg 0.90 0.89 0.89 55\n", "\n" ] } @@ -3332,17 +3486,17 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 56, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 45, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } diff --git a/research/document_types/ground_truth.xlsx b/research/document_types/ground_truth.xlsx index 2450ce77644494151d0e4f0b67bf5fa7ecef099a..4c92fe51bb0ec154605b4213015a6168bae4ba47 100644 GIT binary patch delta 14702 zcmYNGWmMi=*EI~|?(XjH#l5(@ySo;O1?RxE6e|?h;_ei8DDLj=4ln0*f8%@dBO_zX zz31|*WG6d+9K3iOym|x%TAMlOCOml(h6q@3%9la&H@5u%zfyWObCM#btQI4r$Nw5f zyW}6mKZPdt(#nzDaw<0+O2gM%)RU>O zYk7l}v5{K3mnl`OlUygqCCFv$Z5`0^_||k2n{XmcJ`V%NWoUyV*8nbVsCAj)X$|D< zA)i)+R-^})`iUDd@{P6yyK8EL%ue$%e#Ev&!0poGnKdwQ3ghY;-$G7QW2-%Q<_Fz~$g2A{4pvobDHhnh`F z;==N6$WR_I&THGji<4|gB%AT~=;#Nt<;l4&vGrT$ss8TmFzzaA0r%B{QvsT5Hi3u2 zT@{_*te4n&snDl2ZKh>xKDuEv&+|byhbJ1O)=V^6wUt^w@MI@4r81qT!51!ru z|MYSSF50x^hz1ewCk-(D?U&9VZJBC=dPtvI8cPjp^ff3(-uXuF%=op;g+<$*o@#-hn{>(pob=~bi0B~PK3m&0}wbN z5TIma(|n1+z#RRO+mXnCwYW?+w6F`tJ7T7d5O#1LG4gVYx)NXQyN6|V8l9fB;dfYVZbEnj^x?PA&y5ato+xaU^-Kl>Gn5)IfqEcSd*`;YTWQ4 zWaLr9FsPxktG!c}^esB}o!WV>kbR&GKG23%Z3Cs^m9I-w`da5*vlcTMPi^Y?tOUE7 zp#Kujaj!UhgTENcaDiICZjo@!vScENFEgoFQ%|Bn~Qo?6wXeM-jdoBo#xgPPdnqtjn! znN>w%Rc`Ff&Pt`xJc@v?YUM3EV@;rj^5 zvQIwzNeepvyMmt=g-sz&GXSZQ%b*fwyBdvkOA80+o+!*!! zq+TZ>1AQ+UX=R`MNJ?guo|0w~3oqBrgekSOLr9wC@ZY6vDGlhs*)+4bz`ug-1t7x< z9Ca)no}e6*Xeuq?)Z95-mGqD<+`B;qAXdBzRvGt<=2Yx%**tzv2{g*c_Fm#K*OtkZ zvCi!m@Z9h~cks0mzUkC%DrWGt%Ntx*QUZTS9v%}aT6A2tEY$VYT^-B~5?^owCGR6j z&@g-x3;~jeaUduU1dr$7WpbPfgb}JhyF?w1c96?xa;azehM<4dMh+(52Inwng8Q{E z;|s<4We%;6Zo5(MKgjWakRL-vtLrAQIJiTcRVh@gaG(Z+nDfZ&x?Bdlj+lLs6h!zRF4q^Q2e{N2oe zJsI#V@A#aE1L2pJRWlt1mjj{0ilNSRQ7K%NonU@Ri zhsXD9GPSw+1D@4&|+{ZK4B=MShj_D;hu<`BG?7&01U4>_3gij(}hJ&FReh z#Sn}(uq_|X49dl;zDLFjD`uC<3`@!x>)*(VGuXacOa7EubN-Y`b4q8hsVx0A7Dvnv zP9};{FdlhA0ca@pz1UykA&EaAKiyg(eoY)^`y1&$D;62ZK#6@?;7D3={{4Tlu-IYn z0Ul_dtymTCEHECJPjS_sNu80*Xr4eZK-SxU`=u%=`Ji`M*33MRObUZA1V>`BQk%^! zGi)C@iyd!2mNZ|M7A36(dw|5|j`#tK04)a=^0R!c6INUPx@u5xVlAs53Y5b5RJ(BX z+1`SYYPv6Z)x#NsN0x#3Wc(V*MrDC;wI{`FNX{Nzczm|6@L?ODlAJYRlFRy6?=#;2;Ga>lbeU<>>t;(S?ho^RGSx^QpYuI}SDg!B|IeeHH;5u!dLSL3OSCU65 zVqc)^p^*v&qN}3kvkCc&ru${WU>8c|9$XC*<{7Y-!cfQ~#K=V9g$?6}S#HxT8-eA} zvUq^ZuKU94dxk_e_B_n`=m3Rzx|o$R%{)^qpLKZhsE#{t#@XNkIRkF=B9QWsOT$|J z?N@}&YbwqHkeTE#mMvtGq+u+h68b^H7XNE4vtO$oSd}b;aW58<+LIodXOk;m?Qe<+ z(^_e?oyMVEGw^mgdcQw6(DZ&?E^tAkpSrTL^Rcp1ch=m0TDi&!h++9Yxb_ynyB1aM z;~ju9hg>`{BVl9yLk(!r`lGh_r$c41@Fr%7Tru%0JMRuY|y7h6K?&xjtAUZ89+$fwrD~SKYG9q0Gt?vDyFY_!OUt`R^4nMYt zo6)-PQ2-2Pv{v@C1CCe%s$i^9h|qaDss?m=32C~bc?{chRtr9d)`l9$((H1DHuWTr z>;Z$)#JI0SP@nbExJGn^iZ9jMW?bm22KEy#o$D*s$&L5PZ15shP-43zQs1c_YA;81 z5M3ZHwP)@Yvc)16sbz}1VY8jk7&>I))^QXLJ^&A6l1%m=nlu|`%!c;JHLTGmI`-~j zwuLhP88P}&ME-#(+EPS>t5T85aBgPwkA$s^64zY_Be1H^{*$-pPz%_IR=|U7q820i z-_Xo{Sw!fA70ZV6qW9Y*(NDloWlWT#E22MC^FFY7sZk?ra=ZQzO)0ary!mWRA^^M; z*VnOLvvCRjfYqMyO9*d8zqn939_4mtXEB3`9#9GByN&@Xg(rg?Dzi_z)>kaXD1l*S z&?p}sI`$Px^bN|OLWV`z7V%?5+ZV~2yyoQ9K#Q-2+?1)H^dUBsu|}sI$U2C}ws`$f zkQvwTkR4=_A`G6aMxO%HyaG{I5|EHS2f?e#Q6EJ&-}>)LEjkg~bB{U|^mE9CSSZ~x zUiCA(_v3#p)h#@qn4Y&#BL8?P+ zwbg~`@y!2WPhwb%LF1@oGSyYhOcnq2XNz0`t|?PB@OG$sevlb;HLzeST5ydG$NI>< zjmTl}A~HH=7zV+sD9Gb0ky0j$b>vK05KjJCMvK97OTpih63-#LW&Nb$=x7u<3=m7! zZ4V-%LqYI5zu?nw*F(;sFEJLE$fAC9Pr#`BaPb7Iks^7*uM}#QEt*2yq`r(n%F}^A zHP=IX!DCDMIm8Kg0wD;c`W6jbFxZa=QvW${aS*KRdkep_4yE!VlJ-jN)rRmA;^xiY zMrhR-sBF=WFJwo}|791+Rk@I}jBWC|4R{vaJNqNDYJgh*EVKDP3JZ(y46+WH^N{{@oz&_ww&$UFidHEJXd2&59Z z=4){MK3I$9=R?H++|T|d_U@8I0t;LUgXO4KeH^C)VG&uDZiU@@Kg06)5pDyy?j^;;{08yO}-ZAC1s8>)U~`U@H74p z-2DLm|Gzy{=-E5#52C*@hE9W>MPNU?!EIx`AO#Dm;C<~xNb#Vq0di%63QqgJe)vvK zA+*&0gpRtGHygQjxfsjhw4PXZCINu##`3-Ag|(&)q7T6pr3dE?swb<)H=oZ}iShdv zfh()~mHQLi=i5oW+SwMJqNpYX>$7y_Y|gndyNNHfwXX}APd~vmanX9>!Ts-Q8dh~` z9+g2Eb-(M)R}T&~0j=p59;A}CK)3*;l9cN?@5!wD;HNT9`3(DkOonM*%{rXkz#>G@ z=3t;A?SX<^MTS`#3V(HI?{=CjSGoHi24u)(7P8(2*a}w)HY{x`Mj5HTEAFY+SrTSS?C$g&!@naQ`R1et%@k+(=LVk-sMT?#jr?ygO8RLy@ zrXcXJ6qDBj$4a@P_q9=fHI4m-s`2aY*7VDU(5kReJ_G8^OufNm;w0OF)qBA3qL1rK z^9Bpa;>$Q@rb=kU-Ywf%(c9qDorqJ@LR01)iD%Y_W6c}ZzSE6q$1>Bo*63P*k&y`S z3PLr0g?T@_xmftiR~~w&XYA;NTKK;AQob}lcNuh_U8tY4PmbeEK@+!0qHquC8~?~!m{+2qQ{H2Plw4V*E8 z&>p&}NZ$mY&PgG(_5dOZK(ggkR;3x&n9mrNQN&`CvS;CMvMWP1XGsvkRe7CJQEHdn zbCE+4Pe=;q*!w3tYx`RvNWmBphoVN&%9~EH=Aev^b{7vM5Z%SV@pSz%)2(>5ofXKc$vQD@%EnNm*v` zz~fVS{-o&3=8lpE|M8bKt5!Pxcsf55$|BFKm4QfeD+PTgS#wN1u^{S4ynCt7Z3&6c zlxtaGAYfY&Y`I5fXXvT2HDQb00P_$_`l>*aGfq;RSxF%}t#=zw+lfV9OBDvkmps+x zGV(v6SUB)Za2AGd^+Z(Bu*&%3=j1w%&_{p%M~k+&&d?1_K+8tW?yFWG*goGW$%UT4 z9dP-dDT|UBSSF4IP3(i;dxpA0u@rz{Mo;F1%`@@O@OE@^PKY^Qmlrozy3m9~n#kOssE*Tx7RRi4c zB}-;PFIU9$X1JVKi56k4koJ1Z@!dJo;sYg%c|_(iIi@8Mg+To@PTcve z3LMk#hv~a^G7F4G&Fp4kdFeHCkee$;a}5=%s4KdT+4z(SC!RC4bal0}$@>-5KcVo$ zp}~YKZQ5jrbn~Dv?;xaj8i_%76LfGdZq=%uYcdsYGPrz56R()Bi^AHl3S`99`N!gNhN|~ zm@a8WlYj6&veB|9B(W{pv9VX*#E`b_jl|zFwkhi`Y*k^{SU&H-<^&wT zfS;$%R4`|!mhaWSgQ`BvF8<(bC*!PPu&LDL8rYhqg{T)qg~3v=@Ujart1v71N<@)! z@e)&LO*Iy5sYO}z!)kDvB^f996%|95^_Twe+>fB|H&tajeF9>sp|cj35qvl@Fa{6V zgqYK^aX9vEX3(KPci~GAQL$zCsfKj5ZlDmvsMXtgQE6czZ&?DGM2Ze1_llnFAPl*& zP%viAyfV8O6!(4cyZTLU5O-iT9}ZMF7Fq7R#5tpGrZ&d4-6=tOHqPPDM;-l4*#UyR zz6T3eA!-p40?^Y^%N_Mb|%v9a8YHP?Dpo>3@EQ0y}325R#XAu)^40M3VWp>cj{ELt+&{FkPPNO*$0s~8-f zExVR(>v-eQp^`umkpf3OzQVbb!1VBe`zfHc9&%Hx|Lx0CBvn$6x+sgz*l70!?Vs4! z{ABi@-|F71x_Il^_eXK8Hqfu@ent)``7Nz6X?tPgXkAJ(Noh*tSoua8|ux48FmdqOflgBOhwB2Sm`~Bf61Lds74X zt*VLSQk{8-76w0pQ+pV+1`5o4)oQF6<7QM56xLIQNqTCbegv%FK93{>vx|?z9g3ZsJ z%E84h51Q5DP}GQdA%gp^3E?1li$w&S2L7>s^$==U%>Gl2ZWkLl3DqbElB@?gyJ!$Z z?5KdlJF|ug=BH-=Y1gjSz_7+gB(p+03oZPs%evY?U}x_rXk@6&tdTJDc%}Q-Zy;m% z&tO)OC#4$-ELA$O#OSlAKw-}qz;3(T^_^V5Wx?NbqaBmQ2AStLD z(ioliHcXg)G?R9H?7lGH4w4}tB@FWh7P=7JXn-Oz;Zixxt9rJ6=dp&8TX3GO6PCkr z3lHO85F<8&?nJZu)NZb2WU;caCR^U%+hp~2r!?w+xVM6fG5hBoya-_hUz{}Gc++iU z0d72ZVDC!EXLYFp7e$y{j~GSJ1Wq2e7|VpsxvYWY{yYp3Vk1AI7H~?;VW5-epf@11u6eH40f|MT1Jrc2YN5Rj-Q^@Ya=@~?gV*68+MBA%bY z79^>(w})5OO$s;*$CqA5g|LD`hVbN6PS;nRFjVou#2i{9|6}O7qpaDr=Zr|N)=Q8K z0bE=N__fV;Wf73zlG&VllHxK*bUhKYX;6wPzBGHPncIYuWTb3k(hkQY;3d0^5A)FC zJ5d2C5S1FHGu^*;b|Oi9Y}BIS$sLOrq=UF?H}l3RsGOw9Xv)?2c6@4vYkpz*5UEBf zhagLWZy=7tiv|9)fjetP|6CKgN(yG8dke#5{v3d#6!M3Lxu#u$z{EU|TUu>^$f$J+ zye`&=9luFEp7Otd_TA@V8kr;@2f!2)0=V%n^35O&ZD-^FjgH%UDb#`~bIigpA-Q+t zsF$Mvs9O0NB#$k9Ik)cyq|H)qjN~7%u_NsEW>+v=Rs`oUsP_^K-n5eD=E+-{`JHx8 zUKds(?dBrRRaRO|R6nZ3qm5Z3HPan){`|(g`xFa#}6cyMQ|+$(Pe& z=yf5T3#;;@fRB6RuDnWJVZrySgSY*sOLdKXtGW&6?Dxl8US^ZSY1;bvHyGC5_JD4C z9rwqOu5*%N+mEv@@c(_YHDu60gmT~)?n-XpJ_6ihzWn2tfA=3(K5^E#8Asi~9Y)>w zDIz)Q(y^&~L_Pf=_tg7<;J@}%s#AHB;CmwY*;dn2=r7*+m1<|>=a=fccMb&Mz2`eD zhKlKxM?$)k-38rte>}Bjd9E16DvKBe5E-v}ACOi#w{|HB8zD_}lwa*lYIkfn!D^EN z?||FcTFgi3!^&Mw-Co&YY}kBmxA^MDMh;X!&kWYdH;joC48&ee%fgCOTQ!<`6}O3A z-C=Ad{{idhSyluE2$p{uR$iTVhXU#B>AD>1|6b26u>03)vUZI4=3kuBi{De^od=m_^w(Wktj28%=a~VHbrR%mqz9^JSg=?=yFDBe@+i@jD{1 zG41e?F!@QXt+T&T{Bq~0mbkfND@>1k4ZC(WeK%@?*lJPHw z&DgK&Rt?vo$IBR0;;I-On=D%IT?Pmp6ety=+%5_F`h zVu?+%N*!$i%aoVh@W5uz?$3Jc($!P1*o%A8ys5g)=q|$eGyU}CY1X*+ZWk!bVR&yh z=w+u5;L*QscjKE2i^_?p+f_0!HkP2I)u0XkW9f#NCwDp`fb)ECu&vw|lvC4;LNe${55vQl!iWzR*t_qEtd)cu} z4!w!5vpXY8cQQ+c4(=S#@e(_@@C_Q5K_@ zu1^wnjhh$ii*4&&RHM6{Ubt{No1y2K`bmmyQ9iPgregaFBKr$!ZG0;K!aMX z3KW;-EaVK}FCnbY#IVCU+ay`cC8TTl>yxQniCpzF+_|@`!@M|Huhi8aX+Og6%d7|= zW%>(|WI&4)*9>}li0DzJ*Gh$6&X;=}Ny{}{L*Ms8qD8oUC2s{`WMfnN1@N;T|Lz#X z<63JY>keawuJ^2#rvoItIRV2}TD~V15f*hQj&tNb>c1U(gkS7@%%Pk*S=b$2KqP-j zSXdsE6tacimkngD5?KUWk5^>Ih*ticu9MW-q8`Qk!dv%D2NV5QQhxT~arv8B18y++ z>P4KsXlpElUJ=}ftw)DJTUBw7C2?FnHNtw4 zY?<-9e-m?6^>qfmzw07-2$TlKGGYvtbsL3hZLE>Gljj6RFJVr2Z_uIK#k(PbJ|ul< znQ>%wx0SI`JIVn9)-%Ew@;m;-dru1PU+pY;YTUiC$h{myIryeyt1@+lqo9_2w@N~* zuo5n4UX^(?0p_S*&q0fk(d+UZj5#P#RgwMl7|XSG!whIGY8sKEY>a_Hf+66JsVcFG=uipqlv~t zCRkv_+Mujaq~Fz7wb1jDP?-3S(2NuYo_&Z^<$qpWN75LSSN->Ij*H@f!pu&4am=(Z zxM*s%FSjt-bu%j`K17P{iLIrbMb|@{xulCVrC~r>p+IX9Orqh=6AgJ=2i{PImO!?3 zv1^BxvOq2_8LO9BeE9K^4q@qp3UMs-wVRTmCij?n5x=J&?*S+zm{0dAf(oY|f`fgL z=`uw09)!dxBGb+HNPTU436~M@_r4a^_xW#9!}H&=h8GBk{LZ*PhNCC!E3UKa{aq?- zqX$4h9ML7BO+x#oK?W86rncjny9?5cWj0Zvo)KH!*p%aMBCDfDc#RX#kN|$1hNiZs zm&F3-i+n$?DN4s=2q&xIddS7%7snMuY6Ch=T$0S>s^LjBfLL9)0_v*1``mykE7kb) zEW&e(QWNvhjU3S=;pL>CXWZVPK-5SRsuw^Y@O5v5bkejYY$_{1W^Y=iZcvg7LeV|} zLoJy#A&kLgMeNsf9CUyvjYxG7co@>OrMq#&U~tR#z6(l6k+7*lFFI+ouqN<=t{~H3HPfZ|eArwV=>Z?uo3qPL#^)X-{ z=Q|R3?k28}d&^4FNJn=xM4$U}j_5G9NPmBV6;J@~L=;yMV-jBK-PQJPHxM?ar-s`})ja@&(>7A+UPSYISu ztve)-maSk1tGjiWew}G_VEyXhQ7#iadEUPHxp)up`x>VG5r-zwZmZLst#* z`vtp;26V8Fa;1!jP?S@t31-a^#j0(r_ClQ{p{G&WOE9IS+0F%4%}@+(@_2EP;p4nm zZIf~;U- zY*kIF7d?<%=2A&1BCT3aBq8L}G_TDTG%m@voip3(tNaMQV4?PDpL+gkwM}nybN?{-Y%yvvzqfu#_GuEgf_NqdcYL5x zt4$~)l<|Bp+~FnNSdFQQOCRGBvS~KqK}H<=ImFEdwF~S0=P&L0BiAW#Q?594v0mu3 zsKnTaO@3tDo!6O6H1hI(w|LXRR;<@gU&0_c{q<`|2<#LHiA{fLMkyoI5RNFdGP?KZ zpAtoV$NQrCM>s@8ZiI{`H*o`VFI&rGFB@ocB4IwGOcT4|R#7pU9RD9(ZQ0}>+q3#d zfL@gfolf#HTz$8^tzirBZ`*98XVMNUvW&~X1XE4ALyN5x`ieuuY1eBdr+I;f^Url; zOoKa<9rrcfoRsUV_bfg*`JnE3%o4M?Oud)4!Jwc||6Fx}rghFGK92S<3W>U-oiicd zBcD?9Ow!Z&%NUVIv-Zx(Xbx-T;QH=C`Q!!zoTvS9n;^*}>(n%mXY`I0Wux7YZn-Fg zSD?3kP*4$xRZw?BP3MWSUr5pVrQeYOBOrPDxhF-tg<_D7dmgo`M5(NDOo1&8t~;8V zi0~iORRUjepO{j6cgj=Na=BZS+xGh7>XhrUZz%zVH}w$Vhy_b*m9rByNML^y8f0&V zs3CiMgPry$N~{FTsG5rkmz<2X;jQ}Qh!deZ-lio~=gjM;iDkERQr!pX_S(e9+a(<73QeH?HVP(@Kb&8uP7p{u7VByVaHS-#JeAt5!Xt>AiOAN|a9t+|pDTTy} zOb1c25Q3efEDlZCHLuiMGM`+gWZq#0k%Sr9Rl-3Nu@0qEZE~jSGCN(Wvv>{DglTA3 z3o{5ykxAO2%~MDd;4-Dv*@lS+b%6I^f-*oHVvK;93&VFwV!U06H=Zo{8D``&G6|!f z&tUjH@%`u6i3U+AIN6W~_ryvvq&E9fFUox!!Zqj4 zTQcy7J%!%5x!DDXI~i`Alm}3T644148wIA3d)hf6ePGuJP#0|-=Z5yS`U%EY2TVa8 z$QwZR_no;VVMyABm29oswe(OPY5!H{4YW1^NsSddOVl6V121h*=Y%^O6zy^%xPFTY z!L^3cX9)?@jfdMb+3|>#PuJb|@U+%DblqpLy@@~nYpuJzzuz7eV`(^ni>sMHqN=qO zYo}n#Y0@1xJU@jfI35Uc$ZLjvtALS3ih=`#z!s)eA#nEk+^s3Jzcy@|kej0#66j@s zLub(2#}ST%n-11G<8A(gm_cpXFJC=E&uC~o&%b@l@g#!PejAwx%4|G;X*7MAk_whU z5*Oi_n~K_G%ThUm+qW}Qvl@WM=%>^h&gO7(9^F}aqoxV`3kg@k@F!mXD{Yk~fO86@ zAC<6-pb(T~8TD_u+&IT*M+xBbZ*8L#X7R(KsL({`i~xvgd0J1-)AGQQzzsdqHA6!b z1IGdjhy#*(eRkjh*+if3=ekwjrtI&oox!d`+s%WGx!!6XPk1XLW+ne0{B6nlN4{>1 zG7Mb1T1JBLTwiZGG_#q&I@pis`^tg8zY->XF?dyz5THz239_h8ucYYbE*OjFHF|Ns zyvam)ES|QF&di|L<|F@#q|Z5 zMnpN}zzBU>+*3 z)U8#nS>B9gI*$T6xFv?sb>LK`qyEjxesA|Xa8;M<`(7{mu;~&ZHFSO+&JB@Wp3O(= zyH^Xn!Wm2laNq@*Cg14xg4uWAp`&$Go28q_9LE!E7WL+g+|%xpiS`j6ZP(^u8u=ki zk9d*h6u}oGRNTv!=|d-yV@m*&RPEzhM~^|1>XpW$%mi_*ZO&IHdQu}rwWT-k;Y8&H za`CbkoCBik9H$G6J7zNHa%1=ox&26uJGkfH7d~A|$CE_b55zyiRymL}rJc}1Fxebr z-gB!je@Pv)?ph5*+JVe=lKjZE8n+&7E-EgsiCc{%G39fe5J=RLHp`0%M7QKNp9Ng9*jsXP`Ez4W1&j=x^ zHj)D$q*^HOFvDM}CCT^uDUdeY>6_BHnr?)Q0}tvhZ=9FN@ZH{^r1?+HiFNeIhFPR# zftS+eh56d<)?XxOHWgRES2#&81Njz$VA5Mv4yW!zr-}BUUq$A@OEsDjGh^pTTqIT3 zdCXLAkJ=Po3~TJ&Hsce-`qNtDt72PqUgc8di*yzp?08LAchhQ9=rFxnhK4O;KY4vM zymPil&e74)Ed8_Q$oXD{NAfy}!k0T=2_Y+wJX)m{XKe89{8!3=TA6+0QDQ~NwH6|4m;5oo&cZVZdI(H>6vvi_FjC2cZ31IbKWw1CFry%B#MBP}9 zvom8z=EQ<_L7>F}I$e52Mq;(8tQZZq9n2$pgNw>Wf=)|t7QNBb(VWHcX!F~f`!ci4 z*h58h(g;-lag4h^y3#rGOzGh)>e8GtAs)WERlJRT<#3p7ZC!w{on9}JF6XQ;?;v)? z51%0V0mWKw+0()4a;6@aod^Rz&?4bRdQ0K>dihtcdJ%OF5JL^VA{*Q5&%l8wOwvn^ zYykTJy@s-M&nG6rY{C&z7^kQ+P3T$f(9yGD5g~Q#c#2?~8f&8J{rpDjQ11w$0z@x7)!;yPwA&lgD5!r1=3rF!B97GNPjiF?aTps@G! z%MbO5ZGS5lI3n8K&!nTB-XQOt&sQ4bCI3wR20u2r9Z z6E(UQK0k=Gi95+mJq9SHg^2lzc|B}7Mse^5kDwCa#9`I#n=e;RRw`dlWvGd@z2cwe zwMjF9OI*P_ZwvcnlT)2azHlf94faO|5SKP-TE+Ai5ACjU*WXz|)+BGnLAmj4XVi!n z@(N;7-LR;1y>0t~E2uBuxaog^%WG~xcz`Cuo4TVz7oO7z(A}P&6)xCeua(kTutVP{5yuo|9e968&G|}=>FXUs*CS|Hi~(? zj0c~Ju5|bwy|C%gz#g783oDmfM;^>5v|$(Uz5|dK%6yc?g5@D&RyU&0~jy zBpv3`{Tz4&S~nWz=2HP>6A(=Jp=kPYV4=+6Z*Ry4j(KPnyDEbES7tgScZq~i9u!QY zdK^ju8Eo+l(l-OamEo3R9!kLE*F+Ix zmd(`?EFiGtSnw+`f48Cf%t~+3)1N8O8F9i6Cb@c@kxGc_T)pJ_*K0btK$C3o_pwm4 zYI~zUjcQ%YuDMjd&aHd8RELAI7fp84exHrQPh>`d_=tk=dB%D~?L$Wijb4sv5u~1u zWx+buVT<0t0-am7ZI4}kuBfkzjcRtzUVHAUj(2?#_z870 zT|#|+JN?xBOSswTBMz3ktji%;Wvu2{1dzYB8GeP@2rei;BVWvp*(3@wU=ZFzWW8^TWId#cJVSkqxW5596 zkJrLq!O^+4*Fl+zL;n9ZH_BV6fjcK>TQC#-zdco8V0fSVYyRJnhm_on zM34+_$pEgN%w#DFE|~0SN%nsW`iYh}5XIcdUEDayU7vV<^06fk;eP>>{ruC;5dsVh a{r~ZNUil;oSP6qaC;M1Y!gQPe2mOD;;oLv~ delta 14749 zcmY*=18^A8+IDQ)wr$(C?XuqA4@Q8o?FaZ?o*DWV(K7P-HMxsQIrfW7^@Cvb zS`e!^TQ$wQ?W4@lmb_Z6)hVgr<)Ndi+&eE?lR~WT;{dtg7CFH}>}f;b^t%DcX}9$BYYj1tVBNai?U5Ye z7p1vLhU+njj-mTi>W^iUmNJOqs4`aBM3usRr95`JT5hoWGOR?01P3f*-CqU4!i7P; zf*BW4N{SG@;giujqPSP)Z2LHE`B^1r!ZKIs&V@HX!h8p~ISQ9RBG6PdtiChnLch$- zZuwE0x)?Bjhz^&kB(aim@V|E5Oq+r+OR&H`NWmeFWSn49oTUqhpNf#656GwGtcvSL zf(Unyc(b*a40AF}4*^hOZT7=j*|>TaAA?$;Qa7s|R7n((d;+s&g1dfI& z7cC*GEZ=V9M(Ec*b|^vv?8FtVXm7)A&{gGCuknYes*=s8Ipp@>XtDQt`D?51?Ee)`3ViYHk5y>E44uoS-|p z_p9UBc7_=|-#SA2eXY%IoO;*A1kfc;)JpbY%P8s4lh)t`NR8lADRE+Q`+A0BEu#mQ zbJ0+QV^e%dqU?33pH}gvZ?3o_|B(8ytG;>CX`6KDZ+Q>wC z(P&P;7A!Z+6o6>B#TDkcml~fxAl6D`cFOt7idTFrkB8%s>|NIWE=N#*Z<6L^gOIoS z%i%K@rAy$cI;6l9_~PN);?SO5`?u-&h)#H{s_3`B7XW)VfrLvdgFYQa3}p)k|}0ebzKDs=fFMM?}YNJ%^uk%)&c3pwU zdX#B6wxF?$Jb(Pf704IJOT9&}z3$)XqVr;Oq6=#*j6tx<%2AKkqSLeL1#g(Ru~4c!B&xvz zZS6`mHLH@_^rj7bl*8r?u>+69U^E@*BHb_}6f*NX3LpCz#-S+8gMIK$+UxKjARr$f z{~o|cYVKM6Mh9xB@edwklrynSthOMV!{34kqauILeRlU9lG_u)#WA~TXomhw&-i_* z3O8$BIp-zb`up&3mhg5&Tp;ZK{P#lmsu%D(G2ZI=^YW6=zHi*8INEoY#{3cRc60Fr z_`Uu8Z22+>yxqV2`ug#{{pV~wqX8gT?gaV}nG1ycyd|FB$cINWb`Lh4|6FvuE>~O* zz4ZzCdwrClbfNW7f00AT@1SS(-g}_fB5oI25Z$}6(AraO6Fz#IEBG+UUy4gRk0{C;_2A zN&_>Y?V+qJS*NG#GK01T*Kv!ZacO=UCgpDpEu)*VCXAa?%_(m;9ZArCT@`4!hr9Ts z!TAqOB(ALmM$yyt1BK2nf|*;BGyOIjX#-P+ zPe4Q`Xq<&?Soq|$!wVC5f)VzA$PY;|FB*YRM>T^5;l;+!r7<3p_mT`Hwv=WO z>Vwvn4u1y~tu7s2DjbmU03l~K8YaA-B62$$leYuSrI1DLe5Ic9>`+Zp4EX~mfgvd% zcBLRD91pO`oTBlJZljb6)pdJ}K>Y3*r~jKG01RW_FX1TokM=q<2jZh{VUt99k9(QV zn7C~jd=C*aLuQNho~I7Tcmm^*?G_Y4X|DX)&3XplrqD~zNHd6r*XZUzja%BmCI4nK zyiMuW=re)8W@&ngeGc9Q6`$i`XnOMl^H89gvIJn%MlJSOZCSggLCKTJdQHCdl1$p} z8EAdldb@xq8cT7DcpZGnNGHa1J|!$pB5|ho78}-w=)<7(gmtZ7+)faRu^Xh zdmH$%G@W!P2&l-3yPcB9Zm}&=EUv1bUnXO!;lxpO)1<;7BO)29D6YbX-Xg{5kDq18 zDpZ9|R49zCE%L(gz94He`PN3FSmNLVw?iTO#U>TJ)TlDnOIaXRCVC}!ARV!s=_dL+ zcE4=$MxkbquFDX!2GTVP8Lb%xl(qn%!@Z?{0qK-X!CMKtL*Y6aH{n(yM}wlpA>}6) z&YBkfW!FUpw6-`b1w446!jOlT14ju-L_&3#Dt3yhG{60iFK8~A5)zCVhO>(e3tP&+ zTyn;#bLLs1m=gWODE?s-|1i3fTLDrt0x4^Pk(L`aeGqEdc#J6$Kq@(xmZl_GNlJ=# zk3h<^e#X6f@6&t9JiH`h4^u5cmBsW&EK<4R;r5~dc;Bz}L27Ic6d{5$e}a4^!;6*c zY(g?0=Ci;_j?c@_wXl6LIS7XN%uoXqTNX3I{xM(dMx>Hvq(8%5Q#~MGQag;INupvlGTQ3EpXVabtKe4&uJXbF;Ip}xjoaf?AZfvw<>M4|%yBZULUnFhEa7_3mZ^{pM= zX{_E%OG;??;1I0ID>yAUdR;~XWA<35+)g7VncPNFDINqYuJo~jGpGFZv>YTt$WUa- zWK$&HUBmV(C46XF%4a;25${cQX(H9nK)+~?HeK1E^@5>kqPiwNJBXI2WQX+bmtm+* zfXll^<}v|0KvZxfw#*bffugh@fdL4=uTMSa2Fj0sgJiUp#6sHLQ$JG4chT^(7qJRj zQGAqFB^R+0xfxltM0BVPgAvL-=;SLt9yoyo1T7F@rfy!5R6ZsLe*DO1P!oM5~17RrH- z94AVanu&zkFpa_#4Ffv%>?7E-^PWTmjaBYSA{UPBao4$0EKb-sUYN5!r#wfj*fc*W zAko-B^fgQ`(ITpbY!KrH7Pr35H?>m+bc070nYI{5bxv|E(4w$@4YMNBbTq zkTGzXBCEj^4r<(wF|vByiy%t{^@wGaJknXe)U^@BD3zjj=_Qz=*O(`?e?PJ^G9xoL zBNMGp#}~Alraprt+W)P?WG>XJwEh(bIEu^}b8<(I!jF9f^HR;FM)?uFComf-gMmX- z#k)tvW^gyW=89PfqLk{ELl%wtV{z6OJQ<9{tJzV`_*Repkk`efFYmEtlCp2##muO$dC2I@sIBa&M;tNuRY916XmrS8 z9o1YKy~Ipikz%?%8Y^v|W9vK(L}^yJa+_2lFWkO;tx<4c{GfA8?Y129zobJnUQaa| z%5XbSQhbW2KVAj4_*zN0Buy*~$e_$T$|6j0S41%SW0JdPuA$}}qV;hPlCkUMkX?sG zEIK-iCG~4c^2xI^G=Mz>zr%UMi&nhi zyyx!=zvqS|B_TQSIrT=ZQdjk{nU!y+`}B{2>=)78se#W}dg|nQ^7zbIl;Uj#0Uf^L z81&KfENQ20n-Vm4*_AFt0HQGc`7;$JMy-qEC z=BrV_kI#q&)gcwHJVn+a71HfiM}Cu15D906)6ag9DF!hD!^f9sL|a(_35M|f5jTjZ zd&eGIHA9GZTv+)DzTx}>M?tF5>eHV&n})4B(p`Y`EO-b=C$tXm$8Z|WU>Fue=;;gG zzvvBU_7;NEED#eZ_h#7r@H<0}60GJVhK+%zIJs706cSoji*;LfgE^x;pTzoT|A>?S z5i21rjp^m>>IvkO`hSKCjJusAI;|fHLM6?qm7^i4jCaVL$}MIhR7x21gYGz-2G9aq zM- z>KB=8=<5OtHfgQHMQ&t;Id5$c=D_^08U2S~s zCa#}d3#?)CAN1JI*u-Vsq1T;+jQu(HfHg4gBaKe#@2U3uXTw^zmt6fgD!9 z{LV@2r=YU+{~&XW_`9!MYmnDy7JS@x*EtH-Kr@=KBGH#AS@)RQN!)toIjVIlkVp9R zlUiYvRAKgD5qFgO^h3rb4(pX?2d3Uj$m@{)O|nQc%cd?64N3#XNqr03DW|kTMCMP@ z6+;raG!_|qhR@WnTkn>{IzrIS=^VcbgWsVTBgU9x<6U>ys1W*C{ONZO8Sytb@sBzH zDqW=9shfWz)T;vjgISye zK@OL+Nv^K}puG9dBI3V~T0Q-*Iisk5=tF10E{39g`ykw7dZ0wnN?4-1;ZpBq&BT+y zWLKkN{yyawVY=8d>ti_HngD9)5pRz>& z<_qp$UF~1nwl|}=n~mGHyJxxpuN)18YL=Q-lR^6*$=u1Blj4tJp*D-c+Y^0Am7Rew z0SJ|H(F4c*r3uNh_2}?gUQ1-{Y1sM(>_dT_@R2*Cfr=w!)tU+?sX!KUb~BB$68-mS$r6E1FFn%>fW#Lv(!q;h9eV6;0=}?zG6xjA3=^wV5-(e=WFf)q-Wnq2< z?`U$qHx%PQxfzN;Tt)B6Pe`#$=9mYSux)kr$Ht~>+on$MOFw>s!g(`Ty9x&ivJf0l z)c35K<%qzvVg!vFE;gkbDC#?o%F;xLQ}ikwoxG~HM!8(NWcqleo_X_-G*)*^g=x4V%@J<$ibC%N4NZ!Z~^7vlj4cucbHV&-1Onp*++5 zd4+8kRzUc2zVl>gX~8+xS=UL%32en$69=PqOvK6Q%VjTf0-6v6Zr1QV8|BR2mUOB# zFD)Ln)GJlbKQ7q!mY(_SSEXA8}s9hyv)8Y=UcA3;J(NdLp+cELZ*Yh8HRTml=(7E=4fyl4e(`W&)gw)K1Q> zO6fD=qI;lWE`cX*6>lYrHpdnd3&kieDV-qxm`dq01=kt$QftZSJ*hW~^}WT*=Rkf& z7h0WJz)M-L*t(7&PIJ-ekR|52gGO0Ha;F;=y&NtthB#mCv6d3$1IEC*HL?tgDwGnh z(3v_~G)|98h)be&KT!}{<=tF{2mt?zsBGu&;pIbSU%=TsvXot`DG;9{^JqZg%QQ1i z;#p|#=(J#m|-z`#b<4Mv)v z56$0`0mm%rBWzAq5MfR{(-Ur8rwWNSE@j%P149egu`ob$;LxrCTJE`#S^_#oNNem_*KI?Nn9)vh`ht|DPogz zsnGEZynmJ{APqRCX1<{TdA#Y-|4})$+L;#ZmAW{^0umD12EW{FUJEX+IF455;aFAB z$D+EP0>1h;TjM#Wno825T1axyAqJC)!NYOUGj%L|8n|j1ofJEwhqxB$6OWY5RNbM^ z$$;j) ztis>h8KeYeGcGj~Z>0pk{Q7gZ-h8<*s1twryW8ySCy#yYn5b6N(eE^cj47Y+BBJz} zX|F*QoLe}~X#YsiG{}VQ(smJFyM3|~fJi(w#yrUdOOaw#=qo$wqO~YI`~!pkc(6Ek z95&RZxy%zXkpbvj9(aqWBxZIX3&rPvPLY@QU?vdcmO#pPdy`t-wm_Et>(u7v=YkxL z)C9#li(S$%ByRn5`XsxKn6^njULX`hDC~G6E$GPx)pn}%n3pN>C98zA5NEeCpi?in zfcZp1DV@w>wz{+`j)-+&fUoSjX&xExN2hE9i@x4O)o8t^s!9`>lZNn3?>u_dfX6a{ zbaMzzpKdgD9Hrjt5Kq>~95HMGLyoV(US{96{tfn%JYUUcvDz(|Ge(nETF;iC+*?Z( z>_)7NO-rggqUT-~ZWxv0pf&^4^TI>}HAC^ZIF{kJ-ifHV>M z`LDvy@BG{_PVKo?jyEj^j1>>me(&18%zg-y@}j?VBU4UWt#Q<6W-941dY7f*xaH>O z!4~%xeu|_jHnC(BDM5zvjDS)YyA?kh7$)zEz541E>g5h=>|E!txi^m5C|cx;BsE zxH(hCL{5c4A(5y<{Y-JSw8wZ^O!fW{n(P(K1VuNp52zli3DJJg^;o0$PLCCjR5v#R*FwN( z%3+$??Kirbdo2}~SHnsdsn&ROE1JGrN}`w-?F7zy8*qf~n=X%oG$IQFEbhcW|D+_q zffA-pwJ~JfiX-kmLjTvpzCCuxej_j(1ZjuPkr6dErIB0j2$JjA5qa_xlfI;(6KmqN z3D9O8MT+?{6f2u{rp98*)93UvUzs8Po%nF2t~+8U_si<0MTIsfa$kxmSxx^H^@`1H zyV8gOur~Ra^Ji~nB$HV`(_eaQ+K38||Hjg@*NroRroPT(-=W(D~@x9;d|I>yw?GcPoxcqiGaUq#%}M*js$OrFcxX6 z=pffb&9}f{ImR(I_LHbNZ7~HlP-Cv&VRVuK6m=*tL(sE@Wh@C}L^qOluoi7Mzug7% zX`w&pTge9)`%?!lt#=qi1Z6|kQ$g&M;kf4LTR(U<8NXuJ=&mueecQPCq9@GwFSfyFX7=ep>5#oUIft-4rQA+pLNr2HoD-5z3u$BaIcbGheTgM0$qLeg_F2 z5tN=(1r7!U3sVnIDnxCC(+@9X>0!ZT2@8`cSe$#< zSyfn*)0__XOj91T?%F)C@NT1k}A$qrV^9D9Evz~q|((o!|IRPu;w^! zF;<57$~M`fW@0ZlO5g@g{?0^tBcGFCq9L*c1eh~v1{L+j$gE~jJC3$aESOX?P{S9` zZNCk^n&*uy3VJft)fC85s7#{?rK(CmnYo8DJ)ECEYpcSIEVJW3mN6B6vf&e>n)Rk?c;F~1A#c* z;tXTQw*j@maq*%4c7i{bc|R~T036i)=r!OG|@5{E=n0WIGNp_o=I_12RBAij@HN5Df4oQ zU<}5B{@NVU>P7lF^Y}R^8y%K8(BDBl+zP*v;Q=k`xwrB$esen;n+1$L{YN>farOq> z!f?@_ZbgC!+`6?{i3G!(b1p>!))`ZRKGDfK@Uy~b8O7Jz$n8@)w{Qx7!wr_?9~F*g z_kHgJ=P_2G-je&F0;#}e7#~$p)mhjwATn%q@@M{e?x&^3KyjRkGX}pnu=@syV|^{I zLga^+y3O;c8vtt1l zirF1vg52<_G#u|_NHYa$obHW*$TVnItQ4uoc015YN@s4{}7;Po2>eTC=Z3FLA& zuoq~<>Q1^5@Uzjq6iFbgV-SzqX3lvbh#m%SMAE5YDNW0n>~72yX@e38Zbd;?Mj#h+ z&=K_cWFzF{_dLa)p|%@$)(!FaX`-TYrDF?bXxa*+Jh|8BH$aBk4XwsAWQEnyUJIo} z{3ZPckR;Q9%OUmP$7x)HzF5>D8nC_UL%RiLD%}|4<^5oY9PxCCErcm_vJCK7ICnKm zdhK4GuB^BFtgqU%+3B%lVxPtG!XcD>IcMpui!ASeQdj6DCvArdz1dro$k5uR0H;`d! zw7p}m**$Z@Z_zzhxIJ zZC4)V5ce`Cf8Ic3`mWDF^PGI~RoZRD73OQ_oqD6e5$V&Cx6gGl8?E}*ANO2~D&o3k z+n~{DZ?x-L-|<9c_54(5py1H!_Za=1JMURr4_-k)_d8E-$IX#M#0 ztDwQBZxg9r=99R&9?!0qucJx1cr!IJ*as%!5PS2Re0{}8z^*heGhE+!gQhQBlP_Ku z^qDG$qASPJg{I}!;-bnN=V%vCii0@6=@z2$T<$hy3vua7#X7s~nCa(Q{MF0*46%vr zsUo>R_Q9#kuM8uTysy5@S7zyyt=Dtz zQE_zp6)tukbb6`3kkj>3zLY$GgCQs^cVPp?ZNk+FOaF(b9J}rDYk^ z>9Y8+wBy`I$Z4|to(!hD-$-qQQ%fh#IleF1&}~HF*`}+eHaOL%{6Y0^jfBpGQuaFO zI<9rNb$(9Nk-IS)rx#ALysZ^6*`qZW~ zue5{m9g;v@E3uW?yG=KHCR@oCg!eEy^{=>ZIy3ZGpEG$QTV)wuIY(8>l>-~MA*5y>;+@sx}f}Sm77JFg&(pIcqcrMfsS^AaJO z47gb4-n=UinUwrhQWtIzj$?1a?5@ByN7|a97_TN}uX}A1DcuA1Vl+>WTzU{6SEt&n zZRZ=V(I=AH{O7ped;~b)1C-1YZjJ+5WY{d@V0P=YPv#O*?GE72BcMr;4x+`}P$>oI z<(}W&j21+F6Ig9JJw*fI&Eag$Ofpm=forS3ogK<9w}t@*uCVzQ4G?EZmR4 zZ1@?Pt?i%)h6)-OT;^p8_`kP)PuwFn^m1ElPs-$ND_iXmw3sKF!{uk~K4Sw7ELGKB z|2WwZ)vrW}r`~@GQ&Skqf>zH4yEh4L)Tl4c{%J_|D=UGzY|OjeV2mK0UD3-O8~7o< zb2DfO)viL95n$ww&UnSHhvy==lC%gNjn_jz#ggXy?r|S>;!0MEbypU@}*yn5$mlg+Ls@AvJc7J)%_I@k_N$g=e}taTpk;FSLo;FW9bHnGYoS{LD+m~%w0 zTtZFqWFx4mu0OpTtG9m4h;|+%@F{?{HtOt#-fsN5)`l(Dp;FBxz(sAGQc(7nuiQ@u zcF#6w^ScZWW8ca;^4XwtHP!Wj7*;>Y({hYs_Hu_zPo;{3?VRGUKktWm3(Y%HcYN#&4;cQ*d^|@Ck$E zYZyDv@-rvDjtuKyi%l*C{WGHpg#;HwvT~tKIS9)##0IiFW7)6m=NK&aW}wD$uo7&H zFS7_w?k*m33(Ek(Q!41@L1-J(v9W-Is>)oFx)^g`*;S0iYhF{?HPRhNmxdCdL2DeU z&J-&?jYPcn>q~ZU)mVG#3Y}cS!(rvpXl4su}@>D_pKKBeLKrKEioH=nUpOo#;p;f>k z$laaYPWZmV8zs0uLmUOZ`xvL&(xd?rTC$~HJT<&{Wxd}cVAm+gS)`Z3by!&Et3iz` zB;yAhFKtBF7#=74HQmd@1TEB%VS9e^PcS_A*tl)e42?YE7kKNGhb!V1fI{rKvfn5d zU1zw4FlYealL$ET#r-CYCpbIRjKUIVlWxmV5a}#6zkk$M?T8O=b9vhuzi@n^A&P8R zIpcGmXLCF_yp4TVtBIbGnh{Q(KCfT+`zt~BY`K)^GJjzxO%u8b;}2LzGHL9^3& z@;G3-P2Bdz1qtf8|z$;rkN zXDd~;&@9lOU$edWP%D-pQ;FO`tQgbwv>$o{JOVNpMldGR>t~BUgeZvLSEACYxKGX#XD8WLkMkyi)6g2T`h5d zYMzE+R+b41Y9O{e4_7Jd9;vHRR7kE@5bYgrtM&oL!En#b_oDrlCpAuqYq>=3)Nunm z<2Kuew*X>#UE z+!m+144Rm}hvQ@#qCod~xDO5Zd{-yYb$?4oaH8CI4#pF_w5lm3sZ>O-C`@WS0F*eu zv-)F-H8KTs4&|AAl%A+5P9DbB#KpYR%Zm^F-rjN*tZimmeAt!8T2-LFi!k3zTqOf` z^laETFm-PgoXD2TL8VM%!26ZK*bO=GD(YmS`=q z@`kBJ%J!IR%X4d7udf2ylaD)nD4BFQ*gwJ@8>R;3H zz_}eapB#rCi{c<6a6$tds*5lOOnHjdP$w3LODAH{DWauYk_9a{w$ex2-{ciQ!k|%9 zH1&wvqm_(m{xYnv1M{kese~LVygkuFyNBC24H%wmZi7Dv<#^qZ2nrRjgwsB-N+s%U zw~I6WHhCVZ>-^TV!_>5>H$<_7lIyODyTb2pb7AV4j2uW20Y(!5`T73ozM2SA$5XTk z9=+UGI(HB1_PM9uT8SDqV|CqLM7Gg~zBK~6AU@`E>XF)E06%FSzviWhAO}JIq?bW) zaXW3hSVLc^gyWUn<69EONz*2}P`g~ayYbw|-%;StG!O!>84{h_(Nln`i$+zQ1gl%0hp+ZKbWLR*+p%7$ZH&}IX+|)Gx+$*);sFk6G z>rR)KQH5m!K#vQb<=u?;d2X~c8m~RSF{yN6S%b@{WxP2RJilIyq8jb?OkO=sBC|z6 znX5h@Z`q*(XHN4y1#}<&Rr19-E9sUqtyaLLFv%L2rzirB~1IJQ-CV@3z1ir{3s? z6+$He5TCxTRA*eVS7y&BH$n`R6~N0f_3qBViLhjnhE!0uWN);<#VD&L3LweeW zQNTc8r8p_IYe58-rV68jmB@KsR=BIxMY@RGfhr?xp66zlH6bOfI1r6F6I=x(pZ!XR z8eyu*?IB0AuflEdd{lRCsIv@m=NBZI(bBY5FKZ>bAH|y#Hw#KW~z)yt|t|xA$q0B52Pqo!_>lkEj><)Rgkc7A#I6~UE8W& zT|&Wq!C+_TDA}6wvN9e`Z{SqX_S9AG6$}$QVRzV<0j))fP8u44`SaR)oH>}m9k+?bpAcEKz z&HNR^$p|4w*-C|O5BeAN1=cXIj+`8^AC*g@m!?7|xAo_Us+tK650201SpeN&Z#7X1 z(}mKC%{q#-#WAP{K2gpNHd5BiP&juPsJ4~d6iNNbt(iCS0dAw@(_e-V@jSj+MR>ud z1z!8W#EDJUP4L zbNJ%lXbJV!x_VA3CD!4>;_}w2tJqcec4U2L-z5c!^w-Hl;m}-xp$)Cuq=jOwpk;8_ zIe1Sm#U>r)WCml^Xa~uOU!mV=ezv9~n~aKD$_2UH*PGpQn_54y#rFts>MF;Zugn_I)K%U;k1Ts7Xw&0= z#^bw@wviERhfEg%RYL;^jo?)>Z~Z3>7U6cKD;~j6*dMIo?wryqY=l)Fyxb)#h~|+q zhy>4`8$9t23k*2%aJzvIp!=vjJ<0Yig(!lY9Jwz9)sGf51l8=reHkEGC)G;(*(fpX z6~0kpynY0iS%VlMt16(Hb8H=K1EAo!=@1eHG3lO92L7kO$F~H!^sb6pXYOR0jLj7L zss@!-g7^FwGN9L>|GO&fUl7$r?`S@^z^?N0_6Ws0{UX$Lev(mYv2v@PLa35z+oRt~0|H_1S+Jxg%iVg8WdZtoVzPXj)4@PVGPq#lz!!59*k);$dRE3SYM&bX}>&Unl;UK=&H!8b^ zqJhP5k>xAkdSKR=qIeIv1Y0L3k&Gc(n0YAXD0gqbyl;=etBhF@r=?OX$kS3eH4SIw zQqCx#=h*K9$^=Jo;9@1$^04(AhrbO{))0+=F4EqS@?jUS;a*XB6y*-Iw)Kgk^!iy< z(E&bUMNtf%+>B}~=wyy>B<#Z;(Ih~ zf@Ywvx)Zff*H|>wFgUUd z_I&Yo*#A@<=DhdkHOMth=&uMm=>yKLu7-@t?6T$<9!l2n(|aoAhFf0mE3o(Mt3f2} zTaye`K-D5-&Kl`(u;tXBK5hek7 From 0625c304245dd9f6374db5da005f090aad7e1bc9 Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Wed, 15 Jan 2025 11:25:00 +0100 Subject: [PATCH 06/12] Embedding caches can now be read-only (useful for offline work) --- research/lib/embeddings.py | 6 ++++-- research/lib/embeddings_cache.py | 15 +++++++++++++-- 2 files changed, 17 insertions(+), 4 deletions(-) diff --git a/research/lib/embeddings.py b/research/lib/embeddings.py index 17f7077..b3dd965 100644 --- a/research/lib/embeddings.py +++ b/research/lib/embeddings.py @@ -71,6 +71,7 @@ def use_cache( model: EmbeddingModel, cache_directory: pathlib.Path, tqdm: Any | None = None, + read_only: bool = False, ) -> Iterator[Callable[[list[str] | list[list[int]]], np.ndarray]]: """ This context manager provides a function that can be used to get embeddings @@ -85,11 +86,12 @@ def use_cache( with embeddings.use_cache(embedding_model) as get_embeddings: my_embeddings = get_embeddings(my_tokens) """ - cache = embeddings_cache.EmbeddingsCache(cache_directory, model.model_name) + cache = embeddings_cache.EmbeddingsCache(cache_directory, model.model_name, read_only=read_only) yield functools.partial( cache.get_embeddings_batch, batched_embedding_function=model.embed_batch, batch_size=model.batch_size, tqdm=tqdm, ) - cache.save() + if not read_only: + cache.save() diff --git a/research/lib/embeddings_cache.py b/research/lib/embeddings_cache.py index 1369236..d29ecaa 100644 --- a/research/lib/embeddings_cache.py +++ b/research/lib/embeddings_cache.py @@ -9,6 +9,10 @@ import pyarrow.parquet +class ReadOnlyCacheMissError(Exception): + """Raised when a read-only cache doesn't contain the required embedding.""" + + class _NoTqdm: def __init__(self, *_args: Any, **_kwargs: Any) -> None: pass @@ -27,8 +31,9 @@ def __exit__(self, *_args: object) -> None: class EmbeddingsCache: - def __init__(self, root_cache_dir: pathlib.Path, embedding_model_name: str) -> None: + def __init__(self, root_cache_dir: pathlib.Path, embedding_model_name: str, read_only: bool) -> None: self._file_path = root_cache_dir / f"{embedding_model_name.replace('/', '--')}.parquet" + self._read_only = read_only if self._file_path.exists(): t0 = time.monotonic() table = pyarrow.parquet.read_table(self._file_path) @@ -62,11 +67,13 @@ def get_embedding( self.hits += 1 else: self.misses += 1 + if self._read_only: + raise ReadOnlyCacheMissError(text_or_tokens) self._cache[cache_key] = embedding_function(text_or_tokens) return self._cache[cache_key] # I don't know how to simplify this function at the moment. - def get_embeddings_batch[InputType: (str, list[int])]( + def get_embeddings_batch[InputType: (str, list[int])]( # noqa: C901 self, inputs: list[InputType], batched_embedding_function: Callable[[list[InputType]], np.ndarray], @@ -114,6 +121,8 @@ def embed_batch() -> None: continue # Not cached yet => add to batch + if self._read_only: + raise ReadOnlyCacheMissError(input_) batch_indices.append(input_index) batch_inputs.append(input_) self.misses += 1 @@ -129,6 +138,8 @@ def embed_batch() -> None: return resulting_embeddings def save(self) -> None: + if self._read_only: + raise RuntimeError("Cannot save a read-only cache") t0 = time.monotonic() table = pyarrow.table({key: pyarrow.array(value) for key, value in self._cache.items()}) self._file_path.parent.mkdir(parents=True, exist_ok=True) From 4e64918f76fdb4c63bf04942510a127c04330fb5 Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Wed, 15 Jan 2025 11:25:33 +0100 Subject: [PATCH 07/12] Try adding rule-labelled REPORTs into the training set --- .../VM_document_type_classifier.ipynb | 4296 ++++++++--------- .../document_title_rule_model.py | 2 - 2 files changed, 2105 insertions(+), 2193 deletions(-) diff --git a/research/document_types/VM_document_type_classifier.ipynb b/research/document_types/VM_document_type_classifier.ipynb index e7daec7..401a7e9 100644 --- a/research/document_types/VM_document_type_classifier.ipynb +++ b/research/document_types/VM_document_type_classifier.ipynb @@ -23,10 +23,6 @@ "source": [ "DATA_FILE_NAME = \"consultation-documents-preprocessed-2025-01-06.parquet\"\n", "\n", - "DOCUMENT_SOURCES = {\n", - " \"fedlex\",\n", - " # \"openparldata\",\n", - "}\n", "LANGUAGES = {\n", " \"de\",\n", " # \"fr\",\n", @@ -44,6 +40,8 @@ " (\"RESPONSE_FORM\", \"SURVEY\", \"SYNOPTIC_TABLE\", \"VARIOUS_TEXT\"): \"VARIOUS_TEXT\",\n", "}\n", "\n", + "INCLUDE_RULE_LABELS_IN_TRAINING = {\"REPORT\"}\n", + "\n", "CV_FOLDS = 5\n", "TEST_SIZE = 0.1\n", "RANDOM_STATE = 2718\n", @@ -120,7 +118,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Starting run: casual-squirrel-344\n" + "Starting run: bald-perch-713\n" ] }, { @@ -143,7 +141,6 @@ "run = mlflow.start_run()\n", "print(\"Starting run:\", run.info.run_name)\n", "mlflow.log_param(\"input_file\", DATA_FILE_NAME)\n", - "mlflow.log_param(\"document_sources\", sorted(DOCUMENT_SOURCES))\n", "mlflow.log_param(\"languages\", LANGUAGES)\n", "mlflow.log_param(\"from_year\", FROM_YEAR)\n", "mlflow.log_param(\"embedding_model\", EMBEDDING_MODEL)\n", @@ -162,7 +159,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025/01/14 15:42:55 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" + "2025/01/15 11:06:02 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" ] } ], @@ -183,14 +180,36 @@ "execution_count": 7, "metadata": {}, "outputs": [], + "source": [ + "def merge_classes(series: pd.Series) -> pd.Series:\n", + " \"\"\"Apply the MERGE_CLASSES setting to a series of document type labels.\"\"\"\n", + " series = series.copy()\n", + " for old_classes, new_class in MERGE_CLASSES.items():\n", + " mask = series.isin(old_classes)\n", + " series.loc[mask] = new_class\n", + " return series" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], "source": [ "PREPROCESSED_DATA_FILE = REPOSITORY_ROOT / \"data\" / \"dataframes\" / DATA_FILE_NAME\n", "data_access.ensure_dataframe_is_available(PREPROCESSED_DATA_FILE)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load Fedlex data (all of it is used for training)" + ] + }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -655,1099 +674,58 @@ "[13156 rows x 19 columns]" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_input = data_access.load_consultation_documents(\n", + "df_fedlex = data_access.load_consultation_documents(\n", " PREPROCESSED_DATA_FILE,\n", - " only_document_sources=DOCUMENT_SOURCES,\n", + " only_document_sources={\"fedlex\"},\n", " only_languages=LANGUAGES,\n", " starting_year=FROM_YEAR,\n", " mlflow=mlflow,\n", ")\n", - "df_input" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "document_type\n", - "LETTER 3084\n", - "DRAFT 2898\n", - "REPORT 2153\n", - "RECIPIENT_LIST 1770\n", - "FINAL_REPORT 1747\n", - "OPINION 985\n", - "VARIOUS_TEXT 418\n", - "SYNOPTIC_TABLE 81\n", - "SURVEY 13\n", - "RESPONSE_FORM 7\n", - "DECISION 0\n", - "LINK 0\n", - "Name: count, dtype: int64" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_input[\"document_type\"].value_counts(dropna=False)" + "df_fedlex" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Merge classes" + "## Load OpenParlData and generate labels by the rule model" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, - "outputs": [], - "source": [ - "def merge_classes(series: pd.Series) -> pd.Series:\n", - " series = series.copy()\n", - " for old_classes, new_class in MERGE_CLASSES.items():\n", - " mask = series.isin(old_classes)\n", - " series.loc[mask] = new_class\n", - " return series" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "document_type\n", - "LETTER 3084\n", - "DRAFT 2898\n", - "REPORT 2153\n", - "RECIPIENT_LIST 1770\n", - "FINAL_REPORT 1747\n", - "OPINION 985\n", - "VARIOUS_TEXT 519\n", - "DECISION 0\n", - "LINK 0\n", - "RESPONSE_FORM 0\n", - "SURVEY 0\n", - "SYNOPTIC_TABLE 0\n", - "Name: count, dtype: int64" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_input[\"document_type\"] = merge_classes(df_input[\"document_type\"])\n", - "df_input[\"document_type\"].value_counts(dropna=False)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define the target" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "y_encoder = OrdinalEncoder(dtype=int)\n", - "df_input[\"document_type_code\"] = y_encoder.fit_transform(df_input[[\"document_type\"]])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Drop empty documents" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Empty texts: 705 (5.4%)\n" - ] - } - ], - "source": [ - "empty_index = df_input[\"document_content_plain\"].str.strip() == \"\"\n", - "empty_count = len(df_input[empty_index])\n", - "print(f\"Empty texts: {empty_count} ({100 * empty_count / len(df_input):.1f}%)\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "df_input = df_input.loc[~empty_index]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Splits" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Set aside a test set" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "splitter = sklearn.model_selection.StratifiedShuffleSplit(\n", - " n_splits=1,\n", - " test_size=TEST_SIZE,\n", - " random_state=RANDOM_STATE,\n", - ")\n", - "\n", - "train_index, test_index = next(splitter.split(X=df_input, y=df_input[\"document_type_code\"]))" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "Train: (11205, 20)\n", - "Test: (1246, 20)\n" + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/data/dataset_source_registry.py:149: UserWarning: Failed to determine whether UCVolumeDatasetSource can resolve source information for '/Users/vita/Code/demokratis/demokratis-ml/data/dataframes/consultation-documents-preprocessed-2025-01-06.parquet'. Exception: \n", + " return _dataset_source_registry.resolve(\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/data/dataset_source_registry.py:149: UserWarning: The specified dataset source can be interpreted in multiple ways: LocalArtifactDatasetSource, LocalArtifactDatasetSource. MLflow will assume that this is a LocalArtifactDatasetSource source.\n", + " return _dataset_source_registry.resolve(\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/types/utils.py:407: UserWarning: Hint: Inferred schema contains integer column(s). Integer columns in Python cannot represent missing values. If your input data contains missing values at inference time, it will be encoded as floats and will cause a schema enforcement error. The best way to avoid this problem is to infer the model schema based on a realistic data sample (training dataset) that includes missing values. Alternatively, you can declare integer columns as doubles (float64) whenever these columns may have missing values. See `Handling Integers With Missing Values `_ for more details.\n", + " warnings.warn(\n" ] - } - ], - "source": [ - "df_input_train = df_input.iloc[train_index]\n", - "df_input_test = df_input.iloc[test_index]\n", - "\n", - "print(\"Train:\", df_input_train.shape)\n", - "print(\"Test:\", df_input_test.shape)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1246" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "mlflow.log_param(\"train_samples_count\", len(df_input_train))\n", - "mlflow.log_param(\"test_samples_count\", len(df_input_test))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Prepare a cross-validation splitter" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "cv_splitter = sklearn.model_selection.StratifiedKFold(\n", - " n_splits=CV_FOLDS,\n", - " shuffle=True,\n", - " random_state=RANDOM_STATE,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Embeddings" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Tokenise and truncate to input window" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 11205/11205 [00:40<00:00, 274.15it/s]\n", - "100%|██████████| 1246/1246 [00:04<00:00, 281.92it/s]\n" - ] - } - ], - "source": [ - "embedding_model = embeddings.create_embedding_model(EMBEDDING_MODEL)\n", - "mlflow.log_param(\"embedding_model.max_input_tokens\", embedding_model.max_input_tokens)\n", - "\n", - "tokens_train = df_input_train[\"document_content_plain\"].progress_map(embedding_model.tokenize)\n", - "tokens_test = df_input_test[\"document_content_plain\"].progress_map(embedding_model.tokenize)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Embed" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Embedding (cached=11204, new=0): 100%|██████████| 11205/11205 [00:08<00:00, 1317.88it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(11205, 3072)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Embedding (cached=1245, new=0): 100%|██████████| 1246/1246 [00:00<00:00, 1333.29it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(1246, 3072)\n" - ] - } - ], - "source": [ - "with embeddings.use_cache(\n", - " embedding_model,\n", - " tqdm=tqdm,\n", - " cache_directory=REPOSITORY_ROOT / \"data\" / \"embeddings-cache\",\n", - ") as get_embeddings:\n", - " embeddings_train = get_embeddings(tokens_train.tolist())\n", - " print(embeddings_train.shape)\n", - " embeddings_test = get_embeddings(tokens_test.tolist())\n", - " print(embeddings_test.shape)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Classification" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train (11205, 3072) (11205,)\n", - "Test (1246, 3072) (1246,)\n" - ] - } - ], - "source": [ - "X_train = embeddings_train\n", - "X_test = embeddings_test\n", - "y_train = df_input_train[\"document_type_code\"]\n", - "y_test = df_input_test[\"document_type_code\"]\n", - "\n", - "print(\"Train\", X_train.shape, y_train.shape)\n", - "print(\"Test\", X_test.shape, y_test.shape)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ + }, { "data": { "text/html": [ - "
Pipeline(steps=[('standardscaler', StandardScaler()),\n",
-       "                ('logisticregression', LogisticRegression(max_iter=1000))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" - ], - "text/plain": [ - "Pipeline(steps=[('standardscaler', StandardScaler()),\n", - " ('logisticregression', LogisticRegression(max_iter=1000))])" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "classifier = make_pipeline(\n", - " StandardScaler(),\n", - " # PCA(n_components=200, random_state=RANDOM_STATE),\n", - " LogisticRegression(max_iter=1000),\n", - ")\n", - "classifier" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "if \"pca\" in classifier.named_steps:\n", - " mlflow.log_param(\"pca_n_components\", classifier.named_steps[\"pca\"].get_params()[\"n_components\"])" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'fit_time': array([1.4788003 , 1.29699993, 0.97675085, 1.10702181, 1.1131587 ]),\n", - " 'score_time': array([0.04615784, 0.027035 , 0.02268004, 0.02583909, 0.02465415]),\n", - " 'test_precision': array([0.965921 , 0.95633392, 0.95940422, 0.9543138 , 0.9549604 ]),\n", - " 'test_recall': array([0.9665328 , 0.95626952, 0.95983936, 0.95582329, 0.95493083]),\n", - " 'test_f1': array([0.96613428, 0.9562632 , 0.95939258, 0.95448405, 0.95486834]),\n", - " 'test_pca_explained_variance': array([nan, nan, nan, nan, nan])}" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "def explained_variance_scorer(pipeline: Pipeline, X: Any, y: Any = None) -> np.float64:\n", - " try:\n", - " pca = pipeline.named_steps[\"pca\"]\n", - " except KeyError:\n", - " return np.nan\n", - " explained_variance = np.sum(pca.explained_variance_ratio_)\n", - " return explained_variance\n", - "\n", - "\n", - "scoring = {\n", - " \"precision\": \"precision_weighted\",\n", - " \"recall\": \"recall_weighted\",\n", - " \"f1\": \"f1_weighted\",\n", - " \"pca_explained_variance\": explained_variance_scorer,\n", - "}\n", - "\n", - "scores_docs = sklearn.model_selection.cross_validate(\n", - " classifier,\n", - " X=X_train,\n", - " y=y_train,\n", - " cv=cv_splitter,\n", - " scoring=scoring,\n", - ")\n", - "scores_docs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Evaluation of the cross-validation" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Per-document CV scores:\n", - "Precision: 0.9582 (+/- 0.0042)\n", - "Recall: 0.9587 (+/- 0.0043)\n", - "F1: 0.9582 (+/- 0.0043)\n" - ] - } - ], - "source": [ - "avg_scores_docs = {k: np.round(np.mean(v), 4) for k, v in scores_docs.items()}\n", - "mlflow.log_metrics({f\"{k}_docs\": v for k, v in avg_scores_docs.items() if k.startswith(\"test_\")})\n", - "\n", - "print(\"Per-document CV scores:\")\n", - "print(f\"Precision: {avg_scores_docs['test_precision']:.4f} (+/- {np.std(scores_docs['test_precision']):.4f})\")\n", - "print(f\"Recall: {avg_scores_docs['test_recall']:.4f} (+/- {np.std(scores_docs['test_recall']):.4f})\")\n", - "print(f\"F1: {avg_scores_docs['test_f1']:.4f} (+/- {np.std(scores_docs['test_f1']):.4f})\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Use subsets of the training set to re-train and evaluate. This gives us a single model to run reports on. " - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "cv_test_splitter = sklearn.model_selection.StratifiedShuffleSplit(\n", - " n_splits=1,\n", - " test_size=TEST_SIZE,\n", - " random_state=RANDOM_STATE,\n", - ")\n", - "\n", - "cv_train_index, cv_test_index = next(cv_test_splitter.split(X=X_train, y=y_train))\n", - "\n", - "X_cv_train = X_train[cv_train_index]\n", - "y_cv_train = y_train.iloc[cv_train_index]\n", - "X_cv_test = X_train[cv_test_index]\n", - "y_cv_test = y_train.iloc[cv_test_index]" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025/01/14 15:45:05 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", - "2025/01/14 15:45:09 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" - ] - } - ], - "source": [ - "classifier.fit(X_cv_train, y_cv_train)\n", - "cv_test_predictions = classifier.predict(X_cv_test)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " precision recall f1-score support\n", - "\n", - " DRAFT 0.92 0.93 0.93 259\n", - " FINAL_REPORT 0.97 0.98 0.98 157\n", - " LETTER 1.00 1.00 1.00 221\n", - " OPINION 0.98 0.97 0.97 87\n", - "RECIPIENT_LIST 1.00 1.00 1.00 158\n", - " REPORT 0.92 0.95 0.94 193\n", - " VARIOUS_TEXT 0.76 0.63 0.69 46\n", - "\n", - " accuracy 0.95 1121\n", - " macro avg 0.94 0.92 0.93 1121\n", - " weighted avg 0.95 0.95 0.95 1121\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "target_names = y_encoder.categories_[0]\n", - "print(\n", - " sklearn.metrics.classification_report(\n", - " y_cv_test,\n", - " cv_test_predictions,\n", - " target_names=target_names,\n", - " labels=range(len(target_names)),\n", - " )\n", - ")\n", - "\n", - "display(plotting.plot_confusion_matrix_heatmap(y_cv_test, cv_test_predictions, target_names=target_names))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "***\n", - "\n", - "## Evaluation on the test set (USE SPARINGLY)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "if USE_TEST_SET:\n", - " classifier.fit(X_train, y_train)\n", - " test_ground_truth_docs = y_test\n", - " test_predictions_docs = classifier.predict(X_test)\n", - "\n", - " print(\"docs: ground truth\", test_ground_truth_docs.shape)\n", - " print(\"docs: predictions\", test_predictions_docs.shape)\n", - "\n", - " print(\n", - " sklearn.metrics.classification_report(\n", - " test_ground_truth_docs,\n", - " test_predictions_docs,\n", - " target_names=y_encoder.categories_[0],\n", - " labels=range(len(y_encoder.categories_[0])),\n", - " )\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "if USE_TEST_SET:\n", - " display(\n", - " plotting.plot_confusion_matrix_heatmap(\n", - " test_ground_truth_docs, test_predictions_docs, target_names=y_encoder.categories_[0]\n", - " )\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "***\n", - "\n", - "# Comparison to the rule-based model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load (unlabelled) OpenParlData" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/data/dataset_source_registry.py:149: UserWarning: Failed to determine whether UCVolumeDatasetSource can resolve source information for '/Users/vita/Code/demokratis/demokratis-ml/data/dataframes/consultation-documents-preprocessed-2025-01-06.parquet'. Exception: \n", - " return _dataset_source_registry.resolve(\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/data/dataset_source_registry.py:149: UserWarning: The specified dataset source can be interpreted in multiple ways: LocalArtifactDatasetSource, LocalArtifactDatasetSource. MLflow will assume that this is a LocalArtifactDatasetSource source.\n", - " return _dataset_source_registry.resolve(\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/mlflow/types/utils.py:407: UserWarning: Hint: Inferred schema contains integer column(s). Integer columns in Python cannot represent missing values. If your input data contains missing values at inference time, it will be encoded as floats and will cause a schema enforcement error. The best way to avoid this problem is to infer the model schema based on a realistic data sample (training dataset) that includes missing values. Alternatively, you can declare integer columns as doubles (float64) whenever these columns may have missing values. See `Handling Integers With Missing Values `_ for more details.\n", - " warnings.warn(\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "
Pipeline(steps=[('standardscaler', StandardScaler()),\n",
+       "                ('logisticregression', LogisticRegression(max_iter=1000))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "Pipeline(steps=[('standardscaler', StandardScaler()),\n", + " ('logisticregression', LogisticRegression(max_iter=1000))])" ] }, - "execution_count": 31, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_opd = data_access.load_consultation_documents(\n", - " PREPROCESSED_DATA_FILE,\n", - " only_document_sources={\"openparldata\"},\n", - " only_languages=LANGUAGES,\n", - " starting_year=FROM_YEAR,\n", - " mlflow=mlflow,\n", + "classifier = make_pipeline(\n", + " StandardScaler(),\n", + " # PCA(n_components=200, random_state=RANDOM_STATE),\n", + " LogisticRegression(max_iter=1000),\n", ")\n", - "df_opd" + "classifier" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "if \"pca\" in classifier.named_steps:\n", + " mlflow.log_param(\"pca_n_components\", classifier.named_steps[\"pca\"].get_params()[\"n_components\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "document_type\n", - "NaN 9770\n", - "VARIOUS_TEXT 26\n", - "LETTER 13\n", - "REPORT 11\n", - "DRAFT 10\n", - "SYNOPTIC_TABLE 9\n", - "RECIPIENT_LIST 8\n", - "SURVEY 4\n", - "DECISION 0\n", - "FINAL_REPORT 0\n", - "LINK 0\n", - "OPINION 0\n", - "RESPONSE_FORM 0\n", - "Name: count, dtype: int64" + "{'fit_time': array([1.01073575, 0.94277 , 0.94273996, 0.94314122, 0.93525696]),\n", + " 'score_time': array([0.02591205, 0.02101803, 0.02115202, 0.02180099, 0.02065492]),\n", + " 'test_precision': array([0.9588123 , 0.95742542, 0.96471757, 0.95821681, 0.95747294]),\n", + " 'test_recall': array([0.95983773, 0.95819805, 0.9650974 , 0.95941558, 0.9586039 ]),\n", + " 'test_f1': array([0.95893377, 0.95773241, 0.96483318, 0.95870955, 0.95757906]),\n", + " 'test_pca_explained_variance': array([nan, nan, nan, nan, nan])}" ] }, - "execution_count": 32, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_opd[\"document_type\"].value_counts(dropna=False)" + "def explained_variance_scorer(pipeline: Pipeline, X: Any, y: Any = None) -> np.float64:\n", + " try:\n", + " pca = pipeline.named_steps[\"pca\"]\n", + " except KeyError:\n", + " return np.nan\n", + " explained_variance = np.sum(pca.explained_variance_ratio_)\n", + " return explained_variance\n", + "\n", + "\n", + "scoring = {\n", + " \"precision\": \"precision_weighted\",\n", + " \"recall\": \"recall_weighted\",\n", + " \"f1\": \"f1_weighted\",\n", + " \"pca_explained_variance\": explained_variance_scorer,\n", + "}\n", + "\n", + "scores_docs = sklearn.model_selection.cross_validate(\n", + " classifier,\n", + " X=X_train,\n", + " y=y_train,\n", + " cv=cv_splitter,\n", + " scoring=scoring,\n", + ")\n", + "scores_docs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Evaluation of the cross-validation" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Per-document CV scores:\n", + "Precision: 0.9593 (+/- 0.0027)\n", + "Recall: 0.9602 (+/- 0.0025)\n", + "F1: 0.9596 (+/- 0.0027)\n" + ] + } + ], + "source": [ + "avg_scores_docs = {k: np.round(np.mean(v), 4) for k, v in scores_docs.items()}\n", + "mlflow.log_metrics({f\"{k}_docs\": v for k, v in avg_scores_docs.items() if k.startswith(\"test_\")})\n", + "\n", + "print(\"Per-document CV scores:\")\n", + "print(f\"Precision: {avg_scores_docs['test_precision']:.4f} (+/- {np.std(scores_docs['test_precision']):.4f})\")\n", + "print(f\"Recall: {avg_scores_docs['test_recall']:.4f} (+/- {np.std(scores_docs['test_recall']):.4f})\")\n", + "print(f\"F1: {avg_scores_docs['test_f1']:.4f} (+/- {np.std(scores_docs['test_f1']):.4f})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Use subsets of the training set to re-train and evaluate. This gives us a single model to run reports on. " + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "cv_test_splitter = sklearn.model_selection.StratifiedShuffleSplit(\n", + " n_splits=1,\n", + " test_size=TEST_SIZE,\n", + " random_state=RANDOM_STATE,\n", + ")\n", + "\n", + "cv_train_index, cv_test_index = next(cv_test_splitter.split(X=X_train, y=y_train))\n", + "\n", + "X_cv_train = X_train[cv_train_index]\n", + "y_cv_train = y_train.iloc[cv_train_index]\n", + "X_cv_test = X_train[cv_test_index]\n", + "y_cv_test = y_train.iloc[cv_test_index]" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025/01/15 11:08:38 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/15 11:08:42 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + ] + } + ], + "source": [ + "classifier.fit(X_cv_train, y_cv_train)\n", + "cv_test_predictions = classifier.predict(X_cv_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " DRAFT 0.94 0.95 0.94 260\n", + " FINAL_REPORT 0.99 0.99 0.99 157\n", + " LETTER 0.99 1.00 0.99 221\n", + " OPINION 1.00 0.98 0.99 87\n", + "RECIPIENT_LIST 0.99 1.00 1.00 158\n", + " REPORT 0.95 0.98 0.96 304\n", + " VARIOUS_TEXT 0.85 0.63 0.72 46\n", + "\n", + " accuracy 0.97 1233\n", + " macro avg 0.96 0.93 0.94 1233\n", + " weighted avg 0.96 0.97 0.96 1233\n", + "\n" + ] + }, { "data": { + "image/png": "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", "text/plain": [ - "document_type\n", - "NaN 9770\n", - "VARIOUS_TEXT 39\n", - "LETTER 13\n", - "REPORT 11\n", - "DRAFT 10\n", - "RECIPIENT_LIST 8\n", - "DECISION 0\n", - "FINAL_REPORT 0\n", - "LINK 0\n", - "OPINION 0\n", - "RESPONSE_FORM 0\n", - "SURVEY 0\n", - "SYNOPTIC_TABLE 0\n", - "Name: count, dtype: int64" + "
" ] }, - "execution_count": 33, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "df_opd[\"document_type\"] = merge_classes(df_opd[\"document_type\"])\n", - "df_opd[\"document_type\"].value_counts(dropna=False)" + "target_names = y_encoder.categories_[0]\n", + "print(\n", + " sklearn.metrics.classification_report(\n", + " y_cv_test,\n", + " cv_test_predictions,\n", + " target_names=target_names,\n", + " labels=range(len(target_names)),\n", + " )\n", + ")\n", + "\n", + "display(plotting.plot_confusion_matrix_heatmap(y_cv_test, cv_test_predictions, target_names=target_names))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Evaluation on the test set (USE SPARINGLY)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "if USE_TEST_SET:\n", + " classifier.fit(X_train, y_train)\n", + " test_ground_truth_docs = y_test\n", + " test_predictions_docs = classifier.predict(X_test)\n", + "\n", + " print(\"docs: ground truth\", test_ground_truth_docs.shape)\n", + " print(\"docs: predictions\", test_predictions_docs.shape)\n", + "\n", + " print(\n", + " sklearn.metrics.classification_report(\n", + " test_ground_truth_docs,\n", + " test_predictions_docs,\n", + " target_names=y_encoder.categories_[0],\n", + " labels=range(len(y_encoder.categories_[0])),\n", + " )\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "if USE_TEST_SET:\n", + " display(\n", + " plotting.plot_confusion_matrix_heatmap(\n", + " test_ground_truth_docs, test_predictions_docs, target_names=y_encoder.categories_[0]\n", + " )\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "***\n", + "\n", + "# Rule-based & ML model evaluation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Embed the OPD documents" + "## Embed the OpenParlData test set" ] }, { @@ -2287,28 +2283,36 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 9851/9851 [00:24<00:00, 395.94it/s]\n", - "Embedding (cached=9850, new=0): 100%|██████████| 9851/9851 [00:06<00:00, 1560.02it/s]\n" + "100%|██████████| 8583/8583 [00:15<00:00, 559.84it/s]\n", + "Embedding (cached=8582, new=0): 100%|██████████| 8583/8583 [00:04<00:00, 1869.78it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(9851, 3072)\n" + "(8583, 3072)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" ] } ], "source": [ - "tokens_opd = df_opd[\"document_content_plain\"].progress_map(embedding_model.tokenize)\n", + "tokens_opd_test = df_opd_test[\"document_content_plain\"].progress_map(embedding_model.tokenize)\n", "\n", "with embeddings.use_cache(\n", " embedding_model,\n", " tqdm=tqdm,\n", " cache_directory=REPOSITORY_ROOT / \"data\" / \"embeddings-cache\",\n", + " read_only=True,\n", ") as get_embeddings:\n", - " embeddings_opd = get_embeddings(tokens_opd.tolist())\n", - " print(embeddings_opd.shape)" + " embeddings_opd_test = get_embeddings(tokens_opd_test.tolist())\n", + " print(embeddings_opd_test.shape)" ] }, { @@ -2317,7 +2321,23 @@ "metadata": {}, "outputs": [], "source": [ - "df_opd[\"embedding\"] = embeddings_opd.tolist()" + "df_opd_test[\"embedding\"] = embeddings_opd_test.tolist()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Merge classes in the test set" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "df_opd_test[\"document_type\"] = merge_classes(df_opd_test[\"document_type\"])" ] }, { @@ -2329,20 +2349,20 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "80\n" + "68\n" ] } ], "source": [ "# Option A: random sample\n", - "# sample_batch = df_opd.sample(10)\n", + "# sample_batch = df_opd_test.sample(10)\n", "\n", "# Option B: Use the same sample batch for now: the one where we've manually added ground truth labels\n", "ground_truth = pd.read_excel(REPOSITORY_ROOT / \"research\" / \"document_types\" / \"ground_truth.xlsx\")[\n", @@ -2352,7 +2372,7 @@ "\n", "ground_truth = ground_truth.dropna()\n", "\n", - "sample_batch = df_opd[df_opd[\"document_id\"].isin(ground_truth.index)].copy()\n", + "sample_batch = df_opd_test[df_opd_test[\"document_id\"].isin(ground_truth.index)].copy()\n", "print(len(sample_batch))" ] }, @@ -2365,14 +2385,14 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/15 10:11:17 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" + "2025/01/15 11:09:05 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" ] } ], @@ -2392,7 +2412,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -2408,7 +2428,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -2426,923 +2446,791 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 document_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_mldocument_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_ml
3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)VARIOUS_TEXTVARIOUS_TEXTDRAFT
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTDRAFT
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3907439098agvnldocBeilage 3 zum Anhörungsbericht (Synopse GGV) (PDF, 2 Seiten, 81 KB)VARIOUS_TEXTVARIOUS_TEXTREPORT
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenVARIOUS_TEXTNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTVARIOUS_TEXT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTVARIOUS_TEXT
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3977939915arvnldocBegleitschreiben VernehmlassungLETTERLETTERLETTER
3992740063arvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTDRAFT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4041040548bevnldocVortrag: Vortrag-02.09.2020-de (PDF)REPORTREPORTREPORT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)VARIOUS_TEXTNoneVARIOUS_TEXT
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneOPINION
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTOPINION
4270243344luvnldocGesetzesentwurfVARIOUS_TEXTDRAFTDRAFT
4275043392luvnldocBegleitbriefLETTERLETTERVARIOUS_TEXT
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneDRAFT
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneFINAL_REPORT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneFINAL_REPORT
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneDRAFT
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneDRAFT
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411944769szvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTDRAFT
4427944929szvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneVARIOUS_TEXT
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTVARIOUS_TEXT
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTDRAFT
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTVARIOUS_TEXT
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionVARIOUS_TEXTNoneVARIOUS_TEXT
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionVARIOUS_TEXTNoneOPINION
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4726048147zhvnldocBegleitschreiben Vernehmlassung Planen und Bauen im Uferbereich von SeenLETTERLETTERLETTER
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4840649323glvnldocBegleitschreiben Vernehmlassung [pdf, 67 KB]LETTERLETTERLETTER
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneDRAFT
4971450719nwvnldoc04_Synopse kStG_ÜStGVARIOUS_TEXTVARIOUS_TEXTDRAFT
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneVARIOUS_TEXT
4979750802urvnldocRichtlinien RevisionDRAFTNoneVARIOUS_TEXT
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5004651051urvnldocGesetzesentwurfDRAFTDRAFTDRAFT
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTDRAFT
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5092352424zgvnldoc3) AntwortformularVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5104452559aivnldocBegleitschreiben zur Revision des Gesetzes über den Fristenlauf (FriG)LETTERLETTERLETTER
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneOPINION3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)VARIOUS_TEXTVARIOUS_TEXTREPORT
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3907439098agvnldocBeilage 3 zum Anhörungsbericht (Synopse GGV) (PDF, 2 Seiten, 81 KB)VARIOUS_TEXTVARIOUS_TEXTREPORT
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenVARIOUS_TEXTNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)VARIOUS_TEXTVARIOUS_TEXTREPORT
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTVARIOUS_TEXT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTREPORT
3977939915arvnldocBegleitschreiben VernehmlassungLETTERLETTERLETTER
3992740063arvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTDRAFT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)VARIOUS_TEXTVARIOUS_TEXTREPORT
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)VARIOUS_TEXTNoneVARIOUS_TEXT
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTREPORT
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneREPORT
4270243344luvnldocGesetzesentwurfVARIOUS_TEXTDRAFTVARIOUS_TEXT
4275043392luvnldocBegleitbriefLETTERLETTERVARIOUS_TEXT
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneDRAFT
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneREPORT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneREPORT
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneDRAFT
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneREPORT
4349044135owvnldocSynopse EG-KVGVARIOUS_TEXTVARIOUS_TEXTREPORT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411944769szvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTREPORT
4427944929szvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneREPORT
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTVARIOUS_TEXT
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneREPORT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTDRAFT
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTREPORT
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionVARIOUS_TEXTNoneDRAFT
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionVARIOUS_TEXTNoneOPINION
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4726048147zhvnldocBegleitschreiben Vernehmlassung Planen und Bauen im Uferbereich von SeenLETTERLETTERLETTER
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4840649323glvnldocBegleitschreiben Vernehmlassung [pdf, 67 KB]LETTERLETTERLETTER
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneDRAFT
4971450719nwvnldoc04_Synopse kStG_ÜStGVARIOUS_TEXTVARIOUS_TEXTDRAFT
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneVARIOUS_TEXT
4979750802urvnldocRichtlinien RevisionDRAFTNoneREPORT
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTREPORT
5004651051urvnldocGesetzesentwurfDRAFTDRAFTREPORT
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTREPORT
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTREPORT
5092352424zgvnldoc3) AntwortformularVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5104452559aivnldocBegleitschreiben zur Revision des Gesetzes über den Fristenlauf (FriG)LETTERLETTERLETTER
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneREPORT
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 51, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -3371,13 +3259,40 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ "# sample_batch.loc[sample_batch[\"document_id\"] == 48487]" ] }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "ground_truth\n", + "VARIOUS_TEXT 25\n", + "DRAFT 17\n", + "LETTER 10\n", + "RECIPIENT_LIST 7\n", + "REPORT 5\n", + "FINAL_REPORT 4\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample_batch_with_ground_truth[\"ground_truth\"].value_counts(dropna=False)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -3387,7 +3302,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -3396,17 +3311,17 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.47 0.53 0.50 17\n", - " FINAL_REPORT 0.50 0.50 0.50 4\n", + " DRAFT 0.55 0.35 0.43 17\n", + " FINAL_REPORT nan 0.00 0.00 4\n", " LETTER 1.00 0.80 0.89 10\n", " OPINION 0.00 nan 0.00 0\n", "RECIPIENT_LIST 1.00 0.86 0.92 7\n", - " REPORT 0.65 0.69 0.67 16\n", - " VARIOUS_TEXT 0.62 0.50 0.55 26\n", + " REPORT 0.18 1.00 0.30 5\n", + " VARIOUS_TEXT 0.62 0.32 0.42 25\n", "\n", - " accuracy 0.61 80\n", - " macro avg 0.61 0.65 0.58 80\n", - " weighted avg 0.67 0.61 0.64 80\n", + " accuracy 0.49 68\n", + " macro avg 0.56 0.56 0.42 68\n", + " weighted avg 0.66 0.49 0.51 68\n", "\n" ] } @@ -3423,17 +3338,17 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 45, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 54, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -3456,7 +3371,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -3469,12 +3384,11 @@ " FINAL_REPORT 1.00 0.50 0.67 2\n", " LETTER 1.00 1.00 1.00 10\n", "RECIPIENT_LIST 1.00 0.80 0.89 5\n", - " REPORT 0.92 1.00 0.96 11\n", - " VARIOUS_TEXT 0.79 0.88 0.83 17\n", + " VARIOUS_TEXT 0.79 0.94 0.86 16\n", "\n", - " accuracy 0.89 55\n", - " macro avg 0.93 0.83 0.86 55\n", - " weighted avg 0.90 0.89 0.89 55\n", + " accuracy 0.88 43\n", + " macro avg 0.94 0.81 0.85 43\n", + " weighted avg 0.90 0.88 0.88 43\n", "\n" ] } @@ -3486,17 +3400,17 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 56, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -3523,7 +3437,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ diff --git a/research/document_types/document_title_rule_model.py b/research/document_types/document_title_rule_model.py index 47f9450..b21ce3d 100644 --- a/research/document_types/document_title_rule_model.py +++ b/research/document_types/document_title_rule_model.py @@ -10,7 +10,6 @@ @pa.check_types def predict(documents: pandera.typing.DataFrame[schemata.FullConsultationDocumentSchemaV1]) -> pd.Series: - assert documents["document_type"].isna().all() df = documents[["political_body", "document_title", "document_content_plain"]].copy() df["document_title_clean"] = df["document_title"].map(_clean_document_title) df["document_type"] = None @@ -23,7 +22,6 @@ def predict(documents: pandera.typing.DataFrame[schemata.FullConsultationDocumen if canton_code != "": index &= df["political_body"] == canton_code df.loc[index, "document_type"] = document_type - # TODO: logging percentage_labelled = len(df[index]) * 100 / len(df) logging.info( "Labelled %.2f%% by rule: canton=%s, title^=%s => type=%s", From aeac54fcffbc9e88ea545bdcd7a69b849d3c5740 Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Mon, 27 Jan 2025 15:32:55 +0100 Subject: [PATCH 08/12] More manually labelled documents in the eval set; disable merging and rule-labelled OPD data to establish a baseline --- .../VM_document_type_classifier.ipynb | 2533 +++++++++++------ research/document_types/ground_truth.xlsx | Bin 26279 -> 26799 bytes research/lib/plotting.py | 9 +- 3 files changed, 1660 insertions(+), 882 deletions(-) diff --git a/research/document_types/VM_document_type_classifier.ipynb b/research/document_types/VM_document_type_classifier.ipynb index 401a7e9..1ea6890 100644 --- a/research/document_types/VM_document_type_classifier.ipynb +++ b/research/document_types/VM_document_type_classifier.ipynb @@ -37,10 +37,12 @@ "\n", "MERGE_CLASSES = {\n", " # (classes, to, drop): replacement_class\n", - " (\"RESPONSE_FORM\", \"SURVEY\", \"SYNOPTIC_TABLE\", \"VARIOUS_TEXT\"): \"VARIOUS_TEXT\",\n", + " # (\"RESPONSE_FORM\", \"SURVEY\", \"SYNOPTIC_TABLE\", \"VARIOUS_TEXT\"): \"VARIOUS_TEXT\",\n", "}\n", "\n", - "INCLUDE_RULE_LABELS_IN_TRAINING = {\"REPORT\"}\n", + "INCLUDE_RULE_LABELS_IN_TRAINING = {\n", + " # \"REPORT\",\n", + "}\n", "\n", "CV_FOLDS = 5\n", "TEST_SIZE = 0.1\n", @@ -118,7 +120,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Starting run: bald-perch-713\n" + "Starting run: thoughtful-sheep-24\n" ] }, { @@ -159,7 +161,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025/01/15 11:06:02 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" + "2025/01/23 14:34:42 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" ] } ], @@ -1184,23 +1186,85 @@ "cell_type": "code", "execution_count": 11, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "document_type\n", + "LETTER 3084\n", + "DRAFT 2898\n", + "REPORT 2153\n", + "RECIPIENT_LIST 1770\n", + "FINAL_REPORT 1747\n", + "OPINION 985\n", + "VARIOUS_TEXT 418\n", + "SYNOPTIC_TABLE 81\n", + "SURVEY 13\n", + "RESPONSE_FORM 7\n", + "DECISION 0\n", + "LINK 0\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_fedlex[\"document_type\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "document_type\n", + "None 3215\n", + "LETTER 1553\n", + "REPORT 1268\n", + "DRAFT 1255\n", + "VARIOUS_TEXT 852\n", + "SYNOPTIC_TABLE 708\n", + "RECIPIENT_LIST 623\n", + "SURVEY 264\n", + "FINAL_REPORT 88\n", + "RESPONSE_FORM 25\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "document_title_rule_model.predict(df_opd).value_counts(dropna=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Adding 1268 OpenParlDocuments to the training set:\n" + "Adding 0 OpenParlData documents to the training set:\n" ] }, { "data": { "text/plain": [ - "document_type\n", - "REPORT 1268\n", - "Name: count, dtype: int64" + "Series([], Name: count, dtype: int64)" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1232,25 +1296,34 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zq/k8fwbncx1vg2swbktbl1t4z00000gp/T/ipykernel_99091/3027970643.py:1: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", + " df_input = pd.concat([df_fedlex, df_opd_train], ignore_index=True)\n" + ] + } + ], "source": [ "df_input = pd.concat([df_fedlex, df_opd_train], ignore_index=True)" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "document_type\n", - "REPORT 3421\n", "LETTER 3084\n", "DRAFT 2898\n", + "REPORT 2153\n", "RECIPIENT_LIST 1770\n", "FINAL_REPORT 1747\n", "OPINION 985\n", @@ -1258,10 +1331,12 @@ "SYNOPTIC_TABLE 81\n", "SURVEY 13\n", "RESPONSE_FORM 7\n", + "DECISION 0\n", + "LINK 0\n", "Name: count, dtype: int64" ] }, - "execution_count": 13, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1279,24 +1354,29 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "document_type\n", - "REPORT 3421\n", "LETTER 3084\n", "DRAFT 2898\n", + "REPORT 2153\n", "RECIPIENT_LIST 1770\n", "FINAL_REPORT 1747\n", "OPINION 985\n", - "VARIOUS_TEXT 519\n", + "VARIOUS_TEXT 418\n", + "SYNOPTIC_TABLE 81\n", + "SURVEY 13\n", + "RESPONSE_FORM 7\n", + "DECISION 0\n", + "LINK 0\n", "Name: count, dtype: int64" ] }, - "execution_count": 14, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1315,7 +1395,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -1332,14 +1412,14 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Empty texts: 734 (5.1%)\n" + "Empty texts: 705 (5.4%)\n" ] } ], @@ -1351,7 +1431,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -1374,7 +1454,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -1389,15 +1469,15 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Train: (12321, 20)\n", - "Test: (1369, 20)\n" + "Train: (11205, 20)\n", + "Test: (1246, 20)\n" ] } ], @@ -1411,16 +1491,16 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "1369" + "1246" ] }, - "execution_count": 20, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1439,7 +1519,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -1466,15 +1546,15 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 12321/12321 [00:42<00:00, 288.55it/s]\n", - "100%|██████████| 1369/1369 [00:04<00:00, 288.87it/s]\n" + "100%|██████████| 11205/11205 [00:42<00:00, 261.42it/s]\n", + "100%|██████████| 1246/1246 [00:04<00:00, 264.42it/s]\n" ] } ], @@ -1495,35 +1575,35 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=12320, new=0): 100%|██████████| 12321/12321 [00:08<00:00, 1448.53it/s]\n" + "Embedding (cached=11204, new=0): 100%|██████████| 11205/11205 [00:10<00:00, 1076.61it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(12321, 3072)\n" + "(11205, 3072)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=1368, new=0): 100%|██████████| 1369/1369 [00:00<00:00, 1403.57it/s]" + "Embedding (cached=1245, new=0): 100%|██████████| 1246/1246 [00:01<00:00, 1128.29it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(1369, 3072)\n" + "(1246, 3072)\n" ] }, { @@ -1556,15 +1636,15 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Train (12321, 3072) (12321,)\n", - "Test (1369, 3072) (1369,)\n" + "Train (11205, 3072) (11205,)\n", + "Test (1246, 3072) (1246,)\n" ] } ], @@ -1580,7 +1660,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2010,7 +2090,7 @@ " ('logisticregression', LogisticRegression(max_iter=1000))])" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2026,7 +2106,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -2036,21 +2116,35 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" + ] + }, { "data": { "text/plain": [ - "{'fit_time': array([1.01073575, 0.94277 , 0.94273996, 0.94314122, 0.93525696]),\n", - " 'score_time': array([0.02591205, 0.02101803, 0.02115202, 0.02180099, 0.02065492]),\n", - " 'test_precision': array([0.9588123 , 0.95742542, 0.96471757, 0.95821681, 0.95747294]),\n", - " 'test_recall': array([0.95983773, 0.95819805, 0.9650974 , 0.95941558, 0.9586039 ]),\n", - " 'test_f1': array([0.95893377, 0.95773241, 0.96483318, 0.95870955, 0.95757906]),\n", + "{'fit_time': array([1.16483688, 1.18426895, 1.18561172, 1.37229896, 1.09105706]),\n", + " 'score_time': array([0.03063822, 0.02395701, 0.02717113, 0.02384305, 0.02497697]),\n", + " 'test_precision': array([0.94604148, 0.95137891, 0.94749069, 0.95067906, 0.94861341]),\n", + " 'test_recall': array([0.94957608, 0.95403838, 0.95046854, 0.95314592, 0.95046854]),\n", + " 'test_f1': array([0.94739411, 0.95250867, 0.94856175, 0.95127688, 0.94939214]),\n", " 'test_pca_explained_variance': array([nan, nan, nan, nan, nan])}" ] }, - "execution_count": 27, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2091,7 +2185,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -2099,9 +2193,9 @@ "output_type": "stream", "text": [ "Per-document CV scores:\n", - "Precision: 0.9593 (+/- 0.0027)\n", - "Recall: 0.9602 (+/- 0.0025)\n", - "F1: 0.9596 (+/- 0.0027)\n" + "Precision: 0.9488 (+/- 0.0020)\n", + "Recall: 0.9515 (+/- 0.0017)\n", + "F1: 0.9498 (+/- 0.0018)\n" ] } ], @@ -2124,7 +2218,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -2144,15 +2238,15 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/15 11:08:38 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", - "2025/01/15 11:08:42 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + "2025/01/23 14:37:41 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/23 14:37:46 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" ] } ], @@ -2163,32 +2257,47 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.94 0.95 0.94 260\n", - " FINAL_REPORT 0.99 0.99 0.99 157\n", + " DRAFT 0.94 0.93 0.94 259\n", + " FINAL_REPORT 0.99 0.98 0.98 157\n", " LETTER 0.99 1.00 0.99 221\n", - " OPINION 1.00 0.98 0.99 87\n", - "RECIPIENT_LIST 0.99 1.00 1.00 158\n", - " REPORT 0.95 0.98 0.96 304\n", - " VARIOUS_TEXT 0.85 0.63 0.72 46\n", + " OPINION 0.98 0.98 0.98 87\n", + "RECIPIENT_LIST 1.00 1.00 1.00 158\n", + " REPORT 0.93 0.95 0.94 193\n", + " RESPONSE_FORM 0.00 0.00 0.00 1\n", + " SURVEY 0.00 0.00 0.00 1\n", + "SYNOPTIC_TABLE 0.00 0.00 0.00 7\n", + " VARIOUS_TEXT 0.62 0.62 0.62 37\n", "\n", - " accuracy 0.97 1233\n", - " macro avg 0.96 0.93 0.94 1233\n", - " weighted avg 0.96 0.97 0.96 1233\n", + " accuracy 0.95 1121\n", + " macro avg 0.64 0.65 0.65 1121\n", + " weighted avg 0.95 0.95 0.95 1121\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -2222,7 +2331,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -2246,7 +2355,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -2276,22 +2385,22 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 8583/8583 [00:15<00:00, 559.84it/s]\n", - "Embedding (cached=8582, new=0): 100%|██████████| 8583/8583 [00:04<00:00, 1869.78it/s]" + "100%|██████████| 9851/9851 [00:25<00:00, 380.92it/s]\n", + "Embedding (cached=9850, new=0): 100%|██████████| 9851/9851 [00:08<00:00, 1217.44it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(8583, 3072)\n" + "(9851, 3072)\n" ] }, { @@ -2317,7 +2426,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -2333,7 +2442,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -2349,14 +2458,14 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 62, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "68\n" + "127\n" ] } ], @@ -2385,14 +2494,14 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 65, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/15 11:09:05 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" + "2025/01/27 15:20:47 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" ] } ], @@ -2412,7 +2521,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -2428,7 +2537,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ @@ -2446,791 +2555,1440 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 document_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_mldocument_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_ml
3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)VARIOUS_TEXTVARIOUS_TEXTREPORT
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3907439098agvnldocBeilage 3 zum Anhörungsbericht (Synopse GGV) (PDF, 2 Seiten, 81 KB)VARIOUS_TEXTVARIOUS_TEXTREPORT
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenVARIOUS_TEXTNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)VARIOUS_TEXTVARIOUS_TEXTREPORT
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTVARIOUS_TEXT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTREPORT
3977939915arvnldocBegleitschreiben VernehmlassungLETTERLETTERLETTER
3992740063arvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTDRAFT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)VARIOUS_TEXTVARIOUS_TEXTREPORT
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)VARIOUS_TEXTNoneVARIOUS_TEXT
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTREPORT
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneREPORT
4270243344luvnldocGesetzesentwurfVARIOUS_TEXTDRAFTVARIOUS_TEXT
4275043392luvnldocBegleitbriefLETTERLETTERVARIOUS_TEXT
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneDRAFT
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneREPORT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneREPORT
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneDRAFT
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneREPORT
4349044135owvnldocSynopse EG-KVGVARIOUS_TEXTVARIOUS_TEXTREPORT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411944769szvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTREPORT
4427944929szvnldocSynopseVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneREPORT
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTVARIOUS_TEXT
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneREPORT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTDRAFT
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTREPORT
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionVARIOUS_TEXTNoneDRAFT
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionVARIOUS_TEXTNoneOPINION
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4726048147zhvnldocBegleitschreiben Vernehmlassung Planen und Bauen im Uferbereich von SeenLETTERLETTERLETTER
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4840649323glvnldocBegleitschreiben Vernehmlassung [pdf, 67 KB]LETTERLETTERLETTER
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneDRAFT
4971450719nwvnldoc04_Synopse kStG_ÜStGVARIOUS_TEXTVARIOUS_TEXTDRAFT
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneVARIOUS_TEXT
4979750802urvnldocRichtlinien RevisionDRAFTNoneREPORT
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTREPORT
5004651051urvnldocGesetzesentwurfDRAFTDRAFTREPORT
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTREPORT
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTREPORT
5092352424zgvnldoc3) AntwortformularVARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5104452559aivnldocBegleitschreiben zur Revision des Gesetzes über den Fristenlauf (FriG)LETTERLETTERLETTER
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneREPORT3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTDRAFT
3866038684agvnldocInformation (PDF, 8 Seiten, 450 KB)REPORTVARIOUS_TEXTLETTER
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3876638790agvnldocBeilage zum Anhörungsbericht (Synopse BauG) (PDF, 6 Seiten, 47 KB)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3893038954agvnldocAnhörungsbericht (PDF, 99 Seiten, 924 KB)REPORTREPORTREPORT
3907439098agvnldocBeilage 3 zum Anhörungsbericht (Synopse GGV) (PDF, 2 Seiten, 81 KB)SYNOPTIC_TABLESYNOPTIC_TABLEREPORT
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenSURVEYNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)RESPONSE_FORMSURVEYVARIOUS_TEXT
3935839382agvnldocFragebogen (nicht ausfüllbar) (PDF, 4 Seiten, 297 KB)RESPONSE_FORMSURVEYVARIOUS_TEXT
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTSYNOPTIC_TABLE
3962439760aivnldocErläuternder Bericht zum Entwurf für ein Gesetz über die Nutzung des Untergrundes (GNU)REPORTREPORTREPORT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTVARIOUS_TEXT
3975239888arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLEVARIOUS_TEXT
3976139897arvnldocListe der VernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3977939915arvnldocBegleitschreiben VernehmlassungLETTERLETTERLETTER
3991740053arvnldocerläuternder BerichtREPORTREPORTREPORT
3992740063arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
3993140067arvnldocGlossarVARIOUS_TEXTNoneVARIOUS_TEXT
4012240258arvnldocErläuternder BerichtREPORTREPORTREPORT
4017340310arvnldocKonzept Erneuerbare EnergieREPORTNoneREPORT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)SYNOPTIC_TABLEVARIOUS_TEXTVARIOUS_TEXT
4041040548bevnldocVortrag: Vortrag-02.09.2020-de (PDF)REPORTREPORTREPORT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4050840646bevnldocBeilage: Beilage-Vernehmlassungseinladung-17.06.2020-de (PDF)LETTERNoneLETTER
4054640684bevnldocRRB: RRB-28.04.2021-de (PDF)DRAFTVARIOUS_TEXTDRAFT
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)SYNOPTIC_TABLENoneVARIOUS_TEXT
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4158741748bsvnldocVernehmlassungsschreiben mit AdressatenlisteLETTERLETTERLETTER
4165141815bsvnldocLexWork-Änderung des UniversitätsvertragsDRAFTNoneDRAFT
4167241839bsvnldocGesetzesentwurfDRAFTDRAFTDRAFT
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4214542719glvnldocVernehmlassungsschreiben [pdf, 82 KB]LETTERLETTERLETTER
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneOPINION
4215742731glvnldocAntrag an den Landrat KiBG (Vn).pdf [266 KB]REPORTNoneREPORT
4215942733glvnldocKiBG_Fragen_Vernehmlassung.pdf [42 KB]RESPONSE_FORMNoneVARIOUS_TEXT
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTOPINION
4263543277luvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLEVARIOUS_TEXT
4270243344luvnldocGesetzesentwurfSYNOPTIC_TABLEDRAFTDRAFT
4275043392luvnldocBegleitbriefLETTERLETTERVARIOUS_TEXT
4278043422luvnldocVernehmlassungsentwurfDRAFTDRAFTDRAFT
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026SYNOPTIC_TABLESYNOPTIC_TABLEVARIOUS_TEXT
4287743520nwvnldoc05_NG 854.1_Gastgewerbegesetz_Vorlage an LRDRAFTNoneDRAFT
4289743540nwvnldoc01_RRB 183_Teilrevision Strafvollzugsgesetz, StVG. Antrag an LandratFINAL_REPORTVARIOUS_TEXTOPINION
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneDRAFT
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneFINAL_REPORT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneREPORT
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTREPORT
4302343666nwvnldocBericht zur Vernehmlassung [PDF]REPORTREPORTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneDRAFT
4316143804nwvnldoc02_Bericht RR an LR_PBGFINAL_REPORTREPORTREPORT
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneDRAFT
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411344763szvnldocPlan LandschaftstypenVARIOUS_TEXTNoneVARIOUS_TEXT
4411944769szvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4427944929szvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4430044950szvnldocEinladungsschreibenLETTERLETTERLETTER
4439045040szvnldocVollzugsverordnung zur VernehmlassungsvorlageDRAFTNoneDRAFT
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneVARIOUS_TEXT
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4458145231szvnldocEinladungsschreibenLETTERLETTERLETTER
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTDRAFT
4504445694tgvnldocerlaeuternder_bericht_schutz_der_gewaesserREPORTNoneREPORT
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4512345773tgvnldocverordnung_gesundheitsberufe_17_8_2004DRAFTNoneDRAFT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTDRAFT
4516745817tgvnldocenergienutzung_vergleichSYNOPTIC_TABLENoneDRAFT
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4554346426zgvnldocBeilage 2b: EBP Anpassung Verkehrssteuer für PW in ZugREPORTNoneREPORT
4554546428zgvnldocEinladungsschreiben an die Vernehmlassungsadressatinnen und -adressatenLETTERLETTERLETTER
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTVARIOUS_TEXT
4587646762zgvnldocSchreiben an die Vernehmlassungsadressatinnen und -?adressatenLETTERLETTERLETTER
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionRESPONSE_FORMNoneOPINION
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionSYNOPTIC_TABLENoneOPINION
4667347560zhvnldoc20110915 Zürcher Psychiatrieplanung 2012 VersorgungsberichtREPORTNoneDRAFT
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4681047697zhvnldocRRB 98 2013FINAL_REPORTVARIOUS_TEXTREPORT
4681547702zhvnldocBf FD Vernehmlassung Änderung PVO Fameg-Kibe 19.2.2013LETTERNoneVARIOUS_TEXT
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4726048147zhvnldocBegleitschreiben Vernehmlassung Planen und Bauen im Uferbereich von SeenLETTERLETTERLETTER
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4744048327zhvnldocErläuterungen zum VorentwurfREPORTREPORTREPORT
4754448431zhvnldocJI - Änderung JVV (Versetzung U-Haft) - Vorentwurf und erläuREPORTNoneREPORT
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4766748554zhvnldocVernehmlassungsvorlage VVO, LPVO, MBVVO Änderung betr. Urlaub hinterbliebene Elternteile 28.07.23REPORTDRAFTREPORT
4776048663zgvnldoc2) Teilrevidierter VerwaltungsgebührentarifDRAFTNoneDRAFT
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4840649323glvnldocBegleitschreiben Vernehmlassung [pdf, 67 KB]LETTERLETTERLETTER
4898249959frvnldocListe des destinatairesRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneDRAFT
4963850643nwvnldoc08_NG 171.2_Gemeindefinanzhaushaltgesetz GemFHG_Vorlage an LRDRAFTNoneDRAFT
4971450719nwvnldoc04_Synopse kStG_ÜStGSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneDRAFT
4979750802urvnldocRichtlinien RevisionDRAFTNoneDRAFT
4992450929urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
5000251007urvnldocPowerpoint MitwirkungsveranstaltungVARIOUS_TEXTNoneDRAFT
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5004651051urvnldocGesetzesentwurfDRAFTDRAFTDRAFT
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTDRAFT
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5092352424zgvnldoc3) AntwortformularRESPONSE_FORMRESPONSE_FORMVARIOUS_TEXT
5104452559aivnldocBegleitschreiben zur Revision des Gesetzes über den Fristenlauf (FriG)LETTERLETTERLETTER
5141852971sgvnldocVernehmlassungsvorlageREPORTDRAFTDRAFT
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneREPORT
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 41, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -3259,7 +4017,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -3268,23 +4026,26 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 70, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "ground_truth\n", - "VARIOUS_TEXT 25\n", - "DRAFT 17\n", - "LETTER 10\n", - "RECIPIENT_LIST 7\n", - "REPORT 5\n", - "FINAL_REPORT 4\n", + "REPORT 31\n", + "DRAFT 26\n", + "LETTER 18\n", + "SYNOPTIC_TABLE 17\n", + "VARIOUS_TEXT 12\n", + "RECIPIENT_LIST 9\n", + "FINAL_REPORT 8\n", + "RESPONSE_FORM 5\n", + "SURVEY 1\n", "Name: count, dtype: int64" ] }, - "execution_count": 43, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -3302,7 +4063,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -3311,17 +4072,20 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.55 0.35 0.43 17\n", - " FINAL_REPORT nan 0.00 0.00 4\n", - " LETTER 1.00 0.80 0.89 10\n", + " DRAFT 0.59 0.77 0.67 26\n", + " FINAL_REPORT 0.75 0.38 0.50 8\n", + " LETTER 0.94 0.83 0.88 18\n", " OPINION 0.00 nan 0.00 0\n", - "RECIPIENT_LIST 1.00 0.86 0.92 7\n", - " REPORT 0.18 1.00 0.30 5\n", - " VARIOUS_TEXT 0.62 0.32 0.42 25\n", + "RECIPIENT_LIST 1.00 0.89 0.94 9\n", + " REPORT 0.73 0.77 0.75 31\n", + " RESPONSE_FORM nan 0.00 0.00 5\n", + " SURVEY nan 0.00 0.00 1\n", + "SYNOPTIC_TABLE 0.80 0.24 0.36 17\n", + " VARIOUS_TEXT 0.24 0.42 0.30 12\n", "\n", - " accuracy 0.49 68\n", - " macro avg 0.56 0.56 0.42 68\n", - " weighted avg 0.66 0.49 0.51 68\n", + " accuracy 0.62 127\n", + " macro avg 0.63 0.48 0.44 127\n", + " weighted avg 0.71 0.62 0.62 127\n", "\n" ] } @@ -3338,17 +4102,17 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": null, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 45, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -3359,6 +4123,7 @@ " sample_batch_with_ground_truth[\"prediction_ml\"],\n", " target_names=target_names,\n", " title=\"ML model\",\n", + " # normalize=\"true\",\n", ")" ] }, @@ -3371,7 +4136,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 73, "metadata": {}, "outputs": [ { @@ -3380,15 +4145,19 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.89 0.80 0.84 10\n", - " FINAL_REPORT 1.00 0.50 0.67 2\n", - " LETTER 1.00 1.00 1.00 10\n", - "RECIPIENT_LIST 1.00 0.80 0.89 5\n", - " VARIOUS_TEXT 0.79 0.94 0.86 16\n", + " DRAFT 0.77 0.77 0.77 13\n", + " FINAL_REPORT 1.00 0.33 0.50 6\n", + " LETTER 1.00 1.00 1.00 16\n", + "RECIPIENT_LIST 1.00 0.86 0.92 7\n", + " REPORT 0.89 0.85 0.87 20\n", + " RESPONSE_FORM 1.00 0.33 0.50 3\n", + " SURVEY 0.00 nan 0.00 0\n", + "SYNOPTIC_TABLE 1.00 0.85 0.92 13\n", + " VARIOUS_TEXT 0.25 0.75 0.38 4\n", "\n", - " accuracy 0.88 43\n", - " macro avg 0.94 0.81 0.85 43\n", - " weighted avg 0.90 0.88 0.88 43\n", + " accuracy 0.80 82\n", + " macro avg 0.77 0.72 0.65 82\n", + " weighted avg 0.90 0.80 0.83 82\n", "\n" ] } @@ -3400,24 +4169,28 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 76, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 47, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plotting.plot_confusion_matrix_heatmap(\n", - " _df[\"ground_truth\"], _df[\"prediction_rule\"], target_names=target_names, title=\"Rule-based model\"\n", + " _df[\"ground_truth\"],\n", + " _df[\"prediction_rule\"],\n", + " target_names=[t for t in target_names if t != \"OPINION\"], # TODO: find a cleaner way to do this\n", + " title=\"Rule-based model\",\n", + " # normalize=\"true\",\n", ")" ] }, @@ -3437,7 +4210,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ diff --git a/research/document_types/ground_truth.xlsx b/research/document_types/ground_truth.xlsx index 4c92fe51bb0ec154605b4213015a6168bae4ba47..03943ae0918076f1ec342fd54ba33f513537b25d 100644 GIT binary patch literal 26799 zcmagF1CV7~vo%__ZQHhO+f`k*ZQHhO+paEm*;beBzs~vo8}G(_FYenBJJ(txGv^*t z5i9nXsUQsuf&u^m0Rdpk#H|JJ-#!>W_wLs8#*T(=7Pe+i|8>Ji=Wb)2GpB1i$N&R= zgZvjxb=yJ<16deFZ%&Q@ZkN;+J0Wfou4vPDUW(1a3lPs{ivRU`+Sa-CMZ^f%oA|sD z3Dgs{`Bs-0?%J*?g@Pk+#UN-*OecQC_PrUCwPv=vjOfx!udET#CwfRrN{yFmmkH){ zu^IM|pfr)I0&+&uRc)r~T=Y%=BGYTQJ&$bvd;mBT_~8Cab|tu#73x_q2j`80Fc{6~ z4fNS`x4HtnR*_fX18~$YkU0`4j4hR_{ep5$LgPq zzW6MgnhH}dV{h;9b9*}5+ndU|zki3%qpPF8(%etKS}HJYyZeqV20H7bC(obL3iu({k&T| zqwULXd|6pKsS4xoJz?EGZgVr!zqZ}x=^2wJju~6&=Jff>+NtH|2mhu!Gx6v$db+o5 z{MNnuzRn@ZjHOQx>-q5=zFXZ@ zpI%<%_n1CC|BkPho2yp4yx;9?l|COY&)3N7d)vu@%g*=Bj(Xb8RT_Vvr_ShiXV2&3 zt^U{7e7AYb=f*Sr$3q5w@Agl3zQ>N@;^Lds@#+0~U*2B#?B8GgYWeuQxjuEhb)7#x z`R)2*c0W3g$J)MsTwm|sd_5cY(6f5F`Z-SqJfHXb&)44{PY2%>KD|hNVtIN+2dtz$ zU-xOnWogB?NU(JWd3|L3J!J2HX8baOtgy*!7;_&?sybg%mQ zRw^)_%lbYqecZjiHV&loh`!E=hsAKbMVb-C@e7FeKav+EXkv%=7p3unl2Uc_uOmLg z!>6)JX&X-Y*z6)+!vm2Q6VhuVLP++J-VqC?vX*HXUGO(rhrLC{B1#f88d0tI8V-?? zXb zZAbiWo=WfqAtq{KH_sEZT2qszYTi0+tj-iZ!Jlc_5riDAh}%q;wWqd@mUV0$^zEj9 zjrDGOLulLi94^b+W_oXR&e{mq2tRk&NZ&ySAl{9A_yZz&=kaK@IsdtEu%As$W$T>p|YaR*6vRTxe1`jgLV=#g%@ZW--Tcd zLdfz`M47?3Xb;~9bkYJDQAye-hGHxus45KXBX1UH@=#K|zmZXoOF?T2fn4m|3#~V( z^PHFAdJDo#*)auSSjHC<@Xx|pjOpKw=Z$wLl08gCev)fN8eDta$iJ^C@-&xyK0p|) zuE!#O9YB4r{{j`)hX1zUcMyTUwBUElPZvYVzQI?2kta3jdo2w6ZXU9Fn9Buzy*b*n ztLLStj2(OG7B&Mh`^M!Ggwfn^5b|P~+g5tA;`TJ3<#rZ>-|z^NLl}yul(UYbZaq=3 zx`Fhx{>KsbuR|C)dle71wauUEw1M}!Eb7#O`??Go;a@naB45n!BLZ)uN&6dbW6HN1 zfYBOK?j?@;qpW(@9gX(`y-k#-`Nw#}h_*+3H)H^n{_zgP`;OWm{@2i}gF85iu)O8F z+~OeeilelN^L(MViF?B&sc~@%smG2ps?Zz!aT0NOhWUx_vbbTijypYsV8wCZ0(fOD z&n2Gh75{N>Jwt>WS}BmnnKv^~=;cn=n%K{mh2Tt)O5+ccN9W)1K75gNW zlSlkG|Di8ZC`J;j&@H1XPvWve0wrP8=L^8dG9XD}DJrCPgX%?8@h&LEEBWV>0Q9Go zB#A%a!Hbe8o2Z^d6anHzOj2KR80fAqdoIMDZn;5U(T)AwHj^5UphME~5so zWV0?wIk|u9&VoON7!ub%c=54(;rT$%r4Z1_-=A-M)G3Q3QHEEshG5`ClE{W6kq3}D zx1>LYD?TqLktS|J5kDBoETYXx_~C6IGHwFd7kL%2<0D84&(|~VH}V_=_g4`{;!f~) z^I%`=f`9|h$20C%QrJ`P5Px_-r1mOQHu*xaxE#E2`uMp4;5x=X(!LbM4Hmo0e<3Z%j z29f7^hm*lOD80Jk4rb$DPw$8_jOB%Vcn@{QS$dix^+Z5#DE|6aQSa&M5D}!oC!HMi zFa@f4={$hQiz>e7)?+*$o#0&#K#*og5^T*p07o%27iQQ^f_LG)1S0TMDcd>TW{N<) z9!1d4<9ZH{>73#Egb+mpf{kT3ZV~qYk9%i}v(-kAY!$$T@_>%+45s1^6CQ3+>3V|Fcf0{A9F96tH%^DO(7=}aqC&f}2 zN-NSlbm9`NANy}_3yrW;DLEl*cn(nb5NkH{E{Gd$Sm3H@&afhk!!XtW0V)C9N-CW{ zvW`9$NW-=LofuFCLC<}}u_uf&rBAFeE*O?0NYPCPR&U+_-l>Mg_!f>il zPPZbgor)?$GMM`iYdv*7$jShiAj`-Ew#yN$4Q6&3^=`}|*$IH%U!N;th(b!a?eb7| zDS)mLpzZN@+lqX_Jtl8Pn?I7+OO}aXV7k=#uqzRD{%ktbc%TW>O5`>wMUqMaltAnD z(=U;SqrOpKff|V9Rw_eSoFwst2CyqJb>{Uh=&l6ebi)%gE+%M~1@GGFQ0XI&2h>W~ z@3_DaMrPHWG6S~vat22EK&B43uTY(9+}1%Dok-+ODnIXg{>*Bik;Zx894Z1>ArDID z#xd)%0U$6ss{L4AUEd0TRw#~3t7OD1LlC^Ee%@C8h)HE+Ve=6!8{;t0aC?KVK(P5b$lfJ{pOSFd}1Jjhktt3ep8BkLmXrgOc<49W{X zLmTP~EYR!xa5*MVVh1)MEvrYz?tfUTy91D@-srOteAeocIM6Qz%y5}`3)|m(F&ac5 zL}F9u%#1EhsZt*ZAk}5-Ei4Aw>Q4^D{!8RkxBm_RqWgIs9yb4C`}$|`loDj6x*onZwuO|lR50rF@Qe+PRK z1Q)oRY)0n0(ItE&!(3$+{Ou5UJwW>&?PkN*@5V1-IXM&Y1(; zyr%v5cU4H8h9ap1gcJcwt%d=^;VKMnkMIW)WbPjZ+j11R+5i0N)$^-AFhr!WRJXj; z>2W8yYO^LFX**y597RFX_Y36n)*$b>xC_8@?dQ%wL|4=I+lYZ_J&!Yk$rfPhbB+yH zJpzcMUShrHIE)H7U{3J~hE=~4S<&tQ7uc}_RFpJLx>H*&+#dqaxRrU<3 z=Uz}zE;Q*~Z_5GXkDQ~&XWjCEGCo&MfZ`}4I1+}8@t{FF4MIsJ;5Vl@^Y=N+6emeQ ziq%yFhPMfz8;EqUDT{f35BS{e)32MwE@grW%L^E3Qkx7m21|;L&TjcS0sUX)tdg75 z0w_Ay&`&h$)jvAib#fW4fPB#lDEgwjQ9hT^K)o1uWLgEWq46XW0WhoC4es-Aj%Ph z%(#JTt+9dnM4`Vr44}{PA=PYI-O$+cHbhUX&>gYwFmNN9RPzY6X%L1e>V6d5=YwZK|0B*TVlZ(O zQGD)(n`jrYJh+t80c3x(r`wPq04L|o6PQ?v$kGlzyrHL5WClG52E{R-&^>~FBHU-q zAmYfv<{piT5zh+wWH47m2IVoI_#Yn?F0!oQ9_B%+oDvWf>TZUQ!Vd^Do$_H6hISEF zi;7VIf{{^_rPi-_MFUaz($-=xv1zIfnync?&()a#3Rrv6J`0PZh@$%e9irjpJOP`6 ztT4`(WRGC%JM)*OeKl|7B@aI*3BV-)kn4&W931fJxE&t+Cn4o73RqA=!5^3F>fk5M^rSrw@+WPBAc|CrP2L$qo)g(1 zGS(JKApR&L25{WS6Rm{`!~+d67-MZJQMyirbjyE11~u(ss|9s!WE>Fod}BVAd*OwrTSrFmXczH(17wxtyKz1w`vm;}xYWq4 zQJ`AY;9QR|N&sZ1r@24`{ri7=lqn*w;zyupm!WG;3*>=*&&|s!K-3GrlYu}KQrj`g zM!CpZfwiInww|5lY7+dcl`R9R$ihxnM)@cQd2-tFN07gZ^V3QY4C3PKG699B%1_H< ze=%L=<@C8FkP*VM%lj2=iHVz7rJV{grX{x!rU9s3oP*Gxa+>SF^Dht3pX&L}lm=e% z0g9YA#kt^svKJiidw!;=Hw^u)KK5K^j+VJzMf`af6wvjDL5F|gX~AAz0D<~%OzO8GKBWRBJ8^# zI$nVkPa$-0R*YyD;+dcqaPHMb*bfN1d9gY3fA{mzeih6#01Jlzz`JbXKmIJWLRU3s z6jADyxxh!owm=YC1|@NJRHA+o+^t`P3MeIYBhs|XGCoR?6!HZ8n=j!2Wz7rPW!-!R zOI*lAI`6xPRldF;oCTi)kRpn6x-g4IxQm`HjtfrbJ@JG1VsH4Z!b~BfTqo}U?jUh1n3WGFIkmG00?L9 zdD5hjKjNA1C4jEq4^ngWiV6fXLnYHrgJ(vmh9F=8uQSsLpNj*+k*>Nrqs8-E$$APa z1_a8U@q$m~hn#{MA#+5dd-6zTvQ;Q0fWi*A7#xuGq?NX#w4o1O>%fJlkz+hizZE|d zkj^;PS*S+-DprE92rTNZh#EgEkj|(zlNwrHgGP}9oxL#cKxg((z$(}@May1)D*U;u-80@Djy%)pfm_jAELA3LrVmmgMmO z)T_x{ef6RnjB*-k{KuT3>PIW_sRXuHf2SVod!zpH;f0iOwgBj^I|m2ze^ou}@89=D zweqV$`~XVG}8x%SKW#N_5jPJdKo2<_NNG}Tt&FOb;|L<4cvoj+h| z%Cy#;bf(H@SuPd8IsmT9kFZt-q)U^j2S#M57i1x+1_7>0Z8!ya$zQp%fw5WI&4pD2 z2I#6gaNueRH7p^ZxHZ_#VmC<~Kr-3q+*=HhSK&Xu7(jY_*Gi1iWz+U5lj80^E+=ooqzFQ53%^C1 z;?}&c7e|lhpa02L-j8PMuC{f2yxm-%pX18dJG(w!Z}0K_fYCvQPXI^(-*Dn31U%u! zNeKACQIHgJfvF(NX8~hCnos=YfZm+^L6C0E+dQEV(U>YJtFxKTDXa6DsHm!onJlTQ z%b6;vs;imKsjBOlsHm%(nJlTR+nFk{HC+zMZH<>=oN5+Exc;BVqRs?W_SkbVwJnbS z7f4lA8+-m=Mvf-mfT6Ogx|8ew(`1>SiMb$C>tZd*Ry$j$us1A}C~k=)I2+Oa4{TT} z?I%z>{U@gByi{@PcV(8i3v-n%-qLh+r^i3wvEr6YhNUCs|G@qYg#HJlt?o2YX{$d^ zRooh^)E0C30WtqCIG5DVL;W9*l)9J;HMK70QcbgSQD;iZPhZs3e%Nbko}HK5nv_)i z7w8#{wNztmxa@)UYpLd*WwcUT+y%SJ7I(>}y3L^?aci`4L+l?A`@e%?aTP_K zF{*7b=dNm7Z1P?IhBuu*DQ?YFZiu^ZSJ~n(T~>GcsI)aLJpO=ED?cFb!R)=QLCeK` zKeop08_zA6R*$H{T##>iBGFutZ+aoo+>md2BhlP}Z~7q79I#*d0@2*Pcl!Rm{KEnb zySj|wa+Xyo1N4llaysfsrv<7*b9z+t!MX*aqYf{vQtU;U=x+zmmT}I?0%JsH710Tz zv+~$P(Lai$q{_>XOG->3ISLgd4u~_&>B^gsDbh?wISKB+7pwQ{g+xWi2vjWZ zO{ByOp`xLjQl+SQNsbXx{UJ=DVm6T+E0pp>m_o&BA~{ZIDOCoLQpIi}IbH}gO$L!t z#c3irL5MU(hLBQ4MN+pm?-lj2ngdmh>8M!2f>c=n3RRtnv_!#!R9OWIRfEZ-L?MDy zSpy1Hld0tBS6?FNbfj_tsj?naiq=9ZwV&SaqlG*)r^w$g!nQeaV1MCkr`Uh+9} z+>l7ULf&*Mx0l&E{YntJn%bB#ib*Ynv#8aCdX6L`T~EKD+Uq0|0D79q4tgRz+SNL+w04S9T@3#(Kl_r; z2YZ_Ptz;TEe}3NmrF`*DIR`99x#;VNphK+$%OsWhiizU2jyG)DWoi`?-%cI6h(RR; zqY`pWC|n8%PNnWkL9LG3>gi~$TNZ1hefpNTHiEde*pq3S8|jBGJ$r2+VW*3mfpL|y z=BAh^m{6DfBazf*q4Nk_ZJVR${_aYHs27o69J!>6r`@Uyo`MnXfe($WE zx@qVaTyeJ7@w8LmK4LH#vlW^4d+2xwYd@?BxmCyzCRy$8MUHlbp*rnvrcGL?E$CNp zfvXDzv&lDWne97uJX{W4UK)s)-PIrJY^tqKc~`s)qMCbio_$@<*ZtT10SxHS>E7;$ z119S|d08;A!9~20HZ$v*?#V-xx(!#pBeOIH-(4+XF+OFh-q=0U^-A63GNc-P2}}M> zBm-b-L5Ui~GudLHW@w7F$U#n(<%;vaNCN3}ea`TALpwYLQXBB7%Fd}LX6gz@$ zF98%+UAVP@DIwz1uA_qfXfrsOz@a(&?8Nd+@GLe(Ire`(R?FI`$JVz;`<|9F)&%iEl?1gv95L5+=ai!(MS4%S*B4&S! zM~?X?2r%tp27Kpz^=w;PeOs#j-E{y2_Y#GVg3$A6CJ;&4qRUc;#(=o-{ho$)e_49f z3?o-p2d=JwgPQ;5NH%ik!Dg%-&5RCCm&HmYj{wBPlqVxz7Oa3LNU5Ox^tQE58PEs$ z=5OC}Ok%~U2uveZ5UCOT+c6`QF)$`%48lw$iOOWaC=gyOLS{ngn29xtlm>BDh`0(h zC-sH&RKjc4&Tu+>=|2Go`jB*Y5d2x*fnNSJRGpD_LHy;9?oYCdm}-6nk0+lRlVa5{ ze0$&kEE;RqDo!>%0npWduvr_~Xn*nEgMLMLhk>+}BLqJba|+A5T^=PeId4uxNkhPc zmjG#pHj5EwcjR0NI()b{%npLdMh8UhXe4DRy!RxVxR)M;8pYh1M~25l(45{mLoJ{PDAuM>h@^h`%!}#M$D+dd5<%$bCtH2Lqo$q z&>p|RziKTlW-yN5hB}MRNx;0OGYa2)+2IC>xiSO=jCt`{EDXk~8;GRk-P;g3ZYi?S zFjIg}8^ZFrrR=~L6t`E`t=lnt-txn&y_));dhJfAiTbRE=E0y z#(0XaQ9=J3yVK^0lJMmD@t#sd@nC)K3f5%m`lNo@v)#J2YIPBBdUAVGLF)FO`oJqg z6A|_8K0V+@%@yuBrX$%ckIg&-9+BauDGU($x1LAe89G4bfs6K`C*kEk*dyqkY)kG; zOUN}P1WK$gMoj1!PNE<=&M*6Ki;o$Pm{3?R4OiGR)ICK+W*}A%|$~45q2qCYTT_XWM6y~q->1Wf%BOviW{s?83`8*2b2M>3WryCJY==r?~C}k@o zAP6-DC+V2Ol`F0%n~SE;YYO9wNaOzj9iY#Lf8!QTk!;bYnbU2s?WQT;?)p2k)b&Z# z7IQ#QdHqz*d&+Ddfgz^x0)c^B?=AesCqJAuxOKw2hpt%A9j_0!hXiCgqBVsSqB_c) zb}~pg(vr_<$~Dc=q|#0nywOk`WXlU}Q4k_+iyj4N0r0m=A``%aC68PRA*dcqGX}3| zyf+YG;j~+A9m1E$2IRdNQKqmnfQ7tZG#3exsejc|9l6a~2k7Ed5$5_{bM?4HyS;>3 zP1aPmsO%$%LrnQ%tPG$BEKUFF!qdE4)rYvOj4k>>CdrV{;>!s#Uc~`3Mmy?`c;tO_ z7B;xAaXZV#C;xDzs(?T$ghY>gID?W9i(>A=s86wZ8vt(Kr;fGw8JE40%)M$VUu$Gug(hT#V?BbcAYd^0_)V zH3{VVoz8b6JD-OlRvnjR#i*A_S{o$*9*f$=AsAOduyHksvt!E;W~!C$En;?>zDvl z<`Ng*P?OF^@$ z`UKvBQPXmb`QIzdx6Z3`IC>mRHQ;4~##|v}GDu;XU_6`f2-5nQc#>@7FMQw!O^wSWHXZDp|1^W3b=8JoOP&pV;&pQrwV*7HiR zi7<^Ene0s)^ZTGGs3daRZu!}^3%I5GX-OxdMu!Jj4mgliVBXsd>|MdYp}LfVajB*5 z{YOx#g!r83(?^fu7jLa72pMU$P5%r?Z_)t>tNp02e%uwF$*UNG@3xc^KHduD*S{)EJLq};vW(t) zY!7>W1ap$gc83~b?})tAW!ZEm+H-Re1XM^?KL2r$OWAH?%(66yKzHmJjh%Pw&UMQ- zJs+Mq!|VdXtgAaP^iKVteMId*(vXV>pB}5=ePvbSgz885Xaj~*FJU)18lnEOpMZ-4 z4Bw^OC6~F&r3kF>&Mq}Xsx<+2|Jcz-*yBk~CozzM!dv#}bs|LbHLY)CQ8mns+bITo zi!^*yTkcw;X{%wvV+nU_X1_FFK&m%YU?SvDR>zve^7Zn?gq7R#A(oUDgT=^Hws`9; zcIa)1_ck{7njR_qje!^UNHQUID zY>2pp27!y2;a1tcY;#kY98E!rnUHx8Oy2c1vN5yMiT}hJUdGRDumyUl&DzaB9Fg=A zFL9*J*IWzTCgyR3i)3|8{9aw8y2w{J2KjM60?j1^a(VP5qX7kjg%0m>D64C!KJj*k z#eT0=PJ*x}?8H7tpNGW@T;C1Ua?iEoeGH4L{PDa93*xW*3SLbat9xea?@+z58K9Zs zMq|}CBOtl*yiAMj@6i>owvJl0)N>EziOYM=zL-6u;6u~SFcU$;Zjn2cTt>M>Hp@)P zEL~qB_WURkAK$yMGI?7pf9S3h9MBQTv1W#HdZEB8Gu|d?s-(k7gDd7C2eL16G9Erm zR8YbajVX$>@o3;)NC?^u&FpA4MP@d_`pa3~GQGD6k*WK&4+Y}q7)zn?F`OQC{#))m z+JUtGw)`Wjw?SxUodm`Aw7RqYG<{Jkue`UlE5cCQL7Z&rjRigWEcOQ@@fXy9JyIfL zZz_|aJQXs~ce*-RxEQ+$V9@I8E*Sw&axxzn9ytmtRp+G}tH_dfUF_i4B^S7vYNA2) zmb}1rb?Yy^EQ0Lu-pV~2bYH_s*_n>Rb)?+mVPh4{38%6Kr|2j$)wsFVyC`Q)Piu`M zbqV=XX%Th)jK}@=w~7M3t9-KCKeS{nJB?xaZ|$(bLB(RrHAH^r>);>9H-~25=j6HA z)=Gg%*&Wdu*-;`QX}FpNUZ*Y>FrGr&=U$I7Q1F z-igY=u%S#B|84iqA>m1R0?dG!i8ocm6RIk_lxV$gdxwf{cp zcb^A1L_IVfVp)1+ijzY8i*T{S^Ch;Edgw<TM z<=bO8=akhG929o@n8(VwJW4*x?;2M4%vQm84 zj7>E;)>I3N5joRst78HK*cBhr5#l3y*8B1#3;YEK-+hG}f6NtrHd6JYZBsR0o)^uc zC*F3v7TF-C*DmK_B$u|2%`4eGZ9GHKSE3ImKV#b*X@dPU_JOVI9+Ipga;8&zY^5*H zMUX4RMm(jc-XIvcmf|YI8nHP=YIfhBjAO-=tQi#uRqN8wLZzH1S#sNxwNcJmS*V`M z)m$63%{L(bH@N>U3A`$ZrlK7?Yy7kJN=})Li#iU+P`$Z+{j%avH*>}$a{-AN+eG`& zBt#-o26igaxzcj$(cX)OWW*UL+Yoyr)Ve}N8BY!>wrV+PgkE?j0cIt;TZom=u$!x9 zD=4|-Wsx!br_Y}7okVq}Ijgr}fUWKPmT3nVVHbb)rdzMyz%kGcSdpR>>m{V|_7l^1 z6UlraWI}s#6%8X=RvW9N`sL>M5L14ml_G0(I)^#i?1ayOR6?&VSs?2bp6dz7 zCi4IQ3;^WOC=%?PfK?%^d~i}~n_Dcd(!w046h}Reh{}li~rI z0OHsn(Uf^;BTs>jvZZ8U+?xAg;Aqj~0?<|O&R9{}kGj{^s2n;NDzdWjd^>h)#!DE1 zk-2=!c3Z!I47lvcM-GF{ngDxUSQH`OKIG1Kc~dX{-YHVlYWNxU`M!o#8t7Kww!lic z0^uZL{%(8ORP%MDwy~gAo|I0=gs9ZgLjppa7mg>TZ@ODlt*A*V4E8P76?KDY9~P15 zS&5R`KC$peV4D$aZNPCEa@y~E!RGbmHf>SH`zmCFoME^0$SDbAGdXpT`+If8wdKya z)dp-!ay7o=U95(!W6(zu5wextX0{woeR@<4{&iV*n8@}MJZ9Fw;f9jOQE^BYt+_3V z>vY-Tv+Y!sMwT*-N|tkM^*op{tLisnf1S=`t@v+r{{c-}>cL`SKH#iGur0IGwO|P` z`9?lo0`o)%W8~M{4d~BDMb~eEd&~u|53ZJ(FaaFJDe({+JE2Sv>)W{nd0=jsJ(18cN*Uc`<@JvhHb^}Mp~=F-1hY5aJ-_k z{R$F2z=r@e^ciNQn^l!~_!ztWOA{*RC|_jlcMOc<2xbPw&g1~ zt#HLl-X`jxg|tYKHSJ?KWukbj>jM?ocC9nt?{H0V&nvYa8{qNkXk!d;j(FX{g*L^r z)@9%y2|3}RH?&HNChzRaY1{*|+9?HE)8n~}*k2g8bc`46^f5qN#jT*scB}ma6U;c^ zDf=w)ro=<=*?Rp88TNL>*#!NCW2dyj0ugj~=ppn~keez`fmxFCqT(^|(c6c0^DL#9 zp5Y!gbho}6l4>(x26(@rV%}m}yQ6~5en^p&K@4(1;7C!k`orJVHei9&+i(ReO1Fvd zj_tXnBgUb(VwcIS47<3y6>%Y;m;5+-O{msR zqhse0kvz;I*dUb{pqL;b+mZwT|(Y3YzTzm{e$^ z<8&vq`SE?>;z8*vzr{@vGT+zSxn~%6+pW3HeI9}>FSLE(%QS@7`9+nr+L-k0Z1G!O zFI)+QXCN#eMmRvWRmdrcBMT$b+MA+WXtSX@hqaw7WV1eL&ZNQnt`~?-4?IzRcFymI zv5n-FMZ?Mor|e{Cax1LOq^$h)ctm<9>tnuG+ac;Ne56&R;Iv3#G}zrCOQ9&?Bp)oH za9SXgYZnN$4Zjjl?CrTuxtV%OPGBT9v?18Cd<0=q6mMxuL(RQ-o{2%%Wnp->e1$pDtX)cc-Zl# zF#m!%pe4mUh}jlLJ-n^ej_8h`_vXh)p9bnp&-o}nEut_8tsPSG$?Ji7Irj&s$;yC^ z>&bv0q*#p^Y>{^nsK!Ei2clDGnGD7#c}$)pQV=6HGg}gP2RNss%~{0NsG96@#l4HI ztk+l}PI4#VPVpEjH9+geEH_$?9qYD=FSM-5_vCf{+b3%N^|VdXDf-eA%B^}=@AEsh z%M+=9s;3AKJX~2yi8W0 zUCq{rJz=KO>@*O*K zn!r?++T3X=`Ytu?I$hsmv00W%FVV(vPi_95QFe1wP}ndhHnEKyR8$`t^;{Xe3>D&N z7*Gi{Hkj$oNX?%P_0rj%hw1L-p3gJIyMbMx-AZx2r4xdTIWv+t%XB)IU!1GD?f=oo zj>_kZ8N&ASD%0_?=VhO1bktuV&q~Fm?)>C)k3uW*5;k2C-O?lUuBzG%y>|)4_c`l6 zDf1D$ZFMhNGBPe+(}}*Zjug+HmK=J40R)j0H=aCO3_l~4L?a^EIa9Xg%(M7?njD?X zW)4t1RxNXUp8?dtP{gPh8R4pr z&kX#E&@}Ovfm)a0q1dv&4&D9r`SxQS96WRVPn=&L9s#{w*FnWdrj<>S3`wBXK_Uut z?x~JelqTK6velZ<|~m zkhT3HB@Z3*JM32C2ZUCS)!ZXz{7e`N&(%zh%w>icSwNK ze1*l9lCy}d_DWqJmdCOk&wXini&>&=BWlVZ&XanrJ+O8ry0&DN#{mYv|Ad2QeEXeZJBB8XEm3AGdESFK>qITSK;+!a|jT5u+=cG9fRY@ZP3hFu4&9kj-2dDv7Wmxbhfd@8r3TqU=)+_L<$DbA?rWQ}jr_7EQ=ZJo zte@fDJDA5|9?Fe5fyoGq?~RzYsAH=fVb0{^>RErI{|5d?LR4~Y%)P?~0GR9f-y}rj z|44|=<|Z~K^#9s_E2*Z{H*7Zv5IzIHfcJX_R(dGA6dSWt@wHUXThEyrZc7GMf!Hj* zdNI6gyrm0GiB0r@4w%E3nfv3Xs`@ZN;e(@C%&g4yH4qTc4h<*wSw9|~zC8c~;?qOY zkE5&ikP&Yz@6V9xjD?thlDUzoyF(+AN1zB1DVWjFJp|L=(2jV9lw>`kg<|nhZNw6O zX)-78B@e9U^^Nk!6|xX?@o<<1PecYIN0ubgB{m}TEcneQj4YfR$sxb=cMMt~_$P2kqcmc66+1>H4;fcma1`=+b+)1wCtZ^CMkYo2}t? z@9dimxtpI^D0l zobdOik_ZM4={lw?CFRvaQ)0wf zXk^G=285}q2oAd2X!W930uc_NjFjq9`60i=>s3;gxCXm{32AqhQ?r1JIO=*4$~8f>zY`KEj(`+_NMfIpGxs-lMWf9RETX2M%mW-iY=<=qLMF?n4ag;zd$tb zBGyRn7*!_@n^O!&%YvVZC3UdN-7mKGy;1pkA={kbenR{2XJ&W7B(C~V+_uY9$fI|f zyO%ISG3{tc$H79W=NKkF$f#peL^o&BlJ_t6(`zl`ZtBPCXZekZ##iuvHkwIMfFZ?C z&0-DQ|F+Rk{+}*vrww=DhCoAhyaPiHh=)uUzNG#ZqRP`QrCTcmZ3^d({7*qb^=5o5Mf22GnKkO@*+`^b2#A_A6JC zZ#sQ3O=^TFLSsz{e%TIY(-Il2?^~>L`(Lt{?+r1yN%?YwozIV7c;6qtZk^gQZBm(N zyE#7QseHfYmGJSsQ|j2(WIVHIIJt_$qeSq0xo3Ah3)GFXj2vEawAA6Cz1-c~rSNM_ zp{Ib2&*($B&mOS=IDbeZPoO}*3dMa z!;ZK0X)0oX1S-z}bN-UUXy=$lZY#r;jK5{$VgPYX%3rX}R=bx)n2Yx)-|yIZg-D&bU|dB#bzWz2|n` zig#woMaa+M^PT2BU_HPNI$Gw?$&_i>XR(ZgWr%`624Vj|K*Ptq`Af(1C9*$A=jCkE zYty}lA<5$kok@1T`*gFyvHrGwBAVSY8gcS>`Xo(Cl*#_d`S#u-hoavUOY#}~s0-T8 zkYpw;TZGI;7l*scr{%*{&-3xpWyl(d{i(HB`sHuaXu`uNel0xB*){tJ<9vc@N5=)wZjTW{r~4YcnUmUo`<1pTl?8 zkufs6-_8w*m^zB3O9E4~rcp23nbg}*=uC8uFREy9rU@A!hNdZQ&VGMGxj7B}I6VP( zus7R5@0dQf30iME{TxMO?ga%6)|*}UbX@rAr{P29Ss}b#v^wFX@3AJtbcd>+E?qis zhn8}V5iDeF!fn4gYX5n1ryS!Q1C8NP-(I{cRm|;92$C5PYis9g` z$uOzMGc*g!0TJS?L=5j~k!8YsP@LiT`n=m+`*!($TkiH;Kkh`!**;aqzb+jJ*@*j^ z$?o(tTrD0_O%q>y4Ll?nyZPfV?y?mfFqV$HfIR^q(@EI*BVZD<;Awq(;E*q1l`v(c z^Ku;d5uIKhKT@bxgY;FwjsW>8dYKcM8Y%f^1{KEpB~7{Po0+;ub!u3NudObyN>z@= zmO2FQH|X9lw>&}EZo#KHSlS4ryJxvH-VH@EI&#p(MMT$Nb84e_U`(;l3q+B)d6e=c z=ynU0Kg$_{wg(CDx^sv~g}6ieCGihuAbI<$kmR$KtSkyQTmNolO7|+FxjiZcSSOI> zRcK^rKiy2Hd42HWoht{+^%$@yKuKUW1Ay9{+2_PdyP_ z6{fvUmWV!M;j7Sx=UFpHKVacHGw^NiM_(PBW=>xR!W>0=99DU>cbNBDHpZ zb?k>vn5R7)pQ_X!#snLpv0=5ZXXlm~ZgfX&UzhVz?nID=S)g z9PjfKp|sQ~>Bjfk5>+(;-@eIY4Q4%+%Ik}uOao%{44KEk>U<#mRqsuj>C0vw4mwq8 zL2Cp57HMFFt1>^9GL><$dfH}(`g@dCN^~&tk-MV>rBP!zH?8QsH2$hSU!w$QF=#PC z5tDEql-oHnz;ZHdY1@sLzL%-TJ{t9c4~v`{tgKCqf@ zslEB7JI=Ps7#2Y60pxj0g5-`4H{J|8@@6z`y@y5qKcangOL!QY1&Wvj0 z%tAU0ED7@QFd5me0mu$a!fdF?`2@~X%7twBW!Ii$gem1*8>iOOp6e9uu~(SfLws1# z;|LLaSg|aX$iV1?qu>}3QqSE9`M;Lv27|n#iD{|(ML=?4tM0+I%=W+;A&~kM^3^2| zs5dE*xXdxVnxlQR#3V0dZo_d2e@bn|OAZ>j`GK%j!Uy30^!1fdaV^`{XduBQ!QEX0!8N$M)4034 zy98_83GVLhPH=aJhTsz9Bf0OrbME=xyQ}-p9%I++(W_RiUEO2WoP5}=^wLon%s#bs z8VbsJEeeo5XojM=Fd6#5?Q*qz*bLOt5Qw9asZkvph$ewjh|8b(N@LNu-4VsumqOHkW}R%G1-45=nd)OcZp(Ym<{DgJN|{PJ=eC@tsbqSVt*qv!2^5LfDq-tz7 zXz$E)g?Sl$=ReO}8)U*6;zNhi52}*aLVGXAe~jacN#(g5*4nU6iY<`TQ(ZL0dU)W_*yvXU9NU1cbK;sS4zqt)p|s@$R%&ycix+;+gL}}*o3H8 zM_6I`1epOKsawxGb*2h5M8nc0r*cQ9A(5n{W|7vbGH=DYs{Ny6*&gg1jtV@Uf(&RP zC%Tl#SYbECY>!5lXki7?{nSTewSzYg=LvfN^T=eGQ_TZY>yb97cws_Kw3Hnj+#Ozs z=hwTIOS+<6Dp=gSV8V9Gf~*PLd$eErXUDo#!ctg6aAA$cQ0y3;t-zOeC@l!Ge5l}t z`VEkkAqU!}}REiHLFW2iTx-M(Sx_?VM-4u~&Vg7owFXpsp=d&*F=fTp_{sLM9 z4dJ{xU)^Tyz)012D4uQe9R!D0kEefv7i_p=qc@*1!`&!vTM@M8KQsS6A1FsLelV$1 zPB3O6J>g z8V>d_n$lZj7#*Y*h$@BwUIkovENFmENi#x7Yspeo?2+SQ8`RgIRRP3^hTu{t!0ui? zgu^T-Ny);PU`ll?MoU2qXj#A{@#iK!HB)F+=GWU3-b3r=UsbqRruqPcuF2}oNHkxw zZ)pZOqL0&Gn(ivgobY|SyFcmdF&b-&$6CQkrydo!D$!{7rttWic-(Lsuur-+@>NDp zu%DiuS6|%LX>fMickLlouUlW<%d`d^o8HA<{pb(KDm8cak9I?f3N9Kv#I#V}*~TZ_ z#>Zz?C{E35#t^0TKkKH*@+xx?m7L&`JV+kadSCEGHLl5h%-cR$g$OuFhj4W%9%K(U zg&m!!k#51T+J^oJRsn7>=yv4or#^zCG+mky=@xlLq+Smrx@BO5YPP#VZtVF8S%k%J zRqFN`ES1|SJ}D@R7gY+D57w@%(#*5%b=;X-Zc5^Wgx-OCX@N6cJKgP{A z*G?>$+~+=?LA${OvjF7U>S^vge0-%-ABPzjJ5`ErmShoZ*PAn8>>9Gs_h^yP>c_QV z;0_(reqZ?IsqIy{2xgF9#>O(lH@=VqZD+f`BOKZTNXo$*U~)N14W`u(vbX3LFTBZg zoHmbyc18vwj#`m0E&v8n?;FdH>Dxdvt9QNa0kRDy4m9Rg5Yx!b(b5@-i#%eK5TU?g znu6uCXUcDRzK9DaW8{&HX=%buEND`|p=&J2Or$2h_&!mEy7W9{h%K6(nb#upjth5p zy)D9KA+HU+Xg-4mlCO+cB+eer_qP~7e~5Si@SH^i=q!an8H9FJj3eKy1>*1$Bx?kt3;}(&I4J$ z#E3o~iG0;CLL(!!A8Zrr^}gEZ>#nipaN`@hKMMKcNPpHQ%`u;@F)t4DFOY#)m-Pze z(NL;p+79Uh9X35qXmub&LZoF;Q_Ssh@k3DKx_Hbvn6-zB7@xHd*>p{4V!$(GYo!OP zB2UQ4?pqgfjh?bzU-(|{UR#uHYa-EKAqFj-6aBvFwqcj-idtVKiAqIkG*UYAwau!$svPhCB+l~YqtDB-C6|v5 zG5~o9OS=4g-+4HJQKHrI>qYKB+~<%b8^K9zQa}hQP6}|AAoKkN%n%z3xo2PnD(I^U zdDR*_g76nBE-qOZuaPIV`xEc{NTG@va35%kp-D$`YQZ%sIIH8}-10f^fC_LW1aG4R zbcAUl_fAGBQmtb+jLGlgDI`Mdp-_Tjc3y$8Kfh}4X6Nypeqh3D@?@5o#dVW6G;cjy z+%pIdPG|*_y4k6%h8wDrJsPUO-_VR1W8ssZe;k=~Jg!p8;cP#$v+o-yH^y?0w)?Vk zbuD1qS*^qwASifoDuYtP8mZXAGdENlTn7ATW!A3#3clbITFZ4~p|60J7SY-jnQQvW zP>bzN4Gwbm5#wU<_dMs$ze{yv>RQ{TWaowRliOOJm)>Zld(u~+s3mZ9z-A0YOX3Vg z>G_s(q|o#^=DN^_l0hzoz-o0qvx8;l9Af7-{}^hRGkyU_x_u#UC0;KdtpX9IdA4Oj zg)r9PoGvs326-mi=$RiMm@;Q;;B&taOn2obYAln1Bre;maa27v$f?AaBBk3fmE0wp zll)H6znEV$c4ktjKUKjv%1ncV#xKUyXJ6;ZC22Dt1>`(*#A24wESJ>M1T@}| zG;*d;ESEl02A8ZQm+1fMl1fHtar)BlT0h!Q>>sDBvdHe=S)4M0uvxGC-DqoG-i!_5 z!4OyuI2ns1F??6R&&C|@S}Z{U$HCsssNKzwqLDJI;u%Eggs=0iQJporzPP%!xT>}| z=jy8ZHU%k+qevSLTuc&go+TbbCKO(znxERuxP2s_{o+cW-p^i69er^30D5O6HDuI3 zVR|7pWi-ki*;wJgaGi!%Qg3n=4B+BW?uMEvm`pXE$|g9am)@(;b={QoF=Ltwe*xEV zER1a7riRNO% zeJZ$WSEZ_v6RYnFlJm^tDsHH0okd~>saD~OByD3M<_of(pg`s_)R7nFBa1P;VghZw zSVXL!hMD6JIlmNRanckPO4_}F{N}qYJb0x`3{-jLyAt0=lFY^3ZD-a&oV*#`_wW%y zk--oM!TN-OGsQjs6q?k6w{rJ(B+_T(+|zaDjsvA`B> z98k;|SqLfh$dXJX6L1bDNSe2``d>i2B&RE}${Gedxql~I{lOPQI20e&MpL7#kvI@( zPFC@a7`8)Hmp)-nE|VXc9zXw*BL60K-r80+-XUyp|67y7C8NEGyy4`crAQ#o*BpZo zUJ+iqucfxx;vfYG;FmMsSd@leLs)n9{2#pvYNVSZgy~Y>{_+5l95k8iXmv&6DHJyQ zQO@uJzzTyPau0I%CSp$Quz;1fb3SFcuEn&7ddAzD;Rf#o>C?+B>y^fhRhFJYr_WUI z0Ai)ZGc#pw!&0o{y5s}o4d0S1@$nmN5P-PnVr$)|2XR;H)SBpq%jBwVfUnJL83$1r zXZzqQ%_1HZ)fpZ+ERYGdHk3^fSOgKg)RSYj*(1m9JPIbJHW_E^?9}6r1D;7#K6O!E zK(eW4+v5Z{vO8zz?hA#g%DGKn*M&-o`IH;v@k^uqMY{9Vn-4Kt?$Cn>nKB^$aVM*f z+$~7S+7PHNWi*e*QDf!jULW1j<njHFe}Cs1@=%8%3i!pO6DvF%KYT3D^U%8;KlJ`v@Km~ zOzAG46z2VYpY;Q7yNE11GF_UOJ6LIu|Bxjg-&i$XA<4ZHelbH;(YIM#G|8JgYP9Li zi&HlPeklT%MKgnx_v~G`OC8ehl6d^W-CRB? zrlfy|rv>XOfd~wx^4#KOX%-)6(~+7VGkrCux>Q#&oNem0{Fzpy@jfxB{h zOMxToI|)T>GHhvj9{>#%O>@wr4peW%Rq6Z7Vqc+WyoaykY=v}Q85P^zl?5Gng_@#)lU7_;w_{l=mHnY=|khp%bkD8C!Hn2vHzigPe2k zHM`9z!``YVLfMYqodg-H3l8`55GE3m*Bn)%Dg()5%~rZ(7sWyg^-9&FJS_~u zIwcvQPxmR;)H25!dY@NK;VXZE>oDqr7Cy*nQblo=h%l5fSZCfCt<`komVisgm+>Du zlDjGCdO5#9Z%Rpit)|YGyWJd%=&Y1Q|6Y7CuyyD_l7ncs-0oFUu&g%qd|OZbh`m-B zw`-^PCMt(SAVZ-Fnt-He+*CS|*7GZFv}!G;U2Oxerk{0EBm~!pYL;1ZymJ1KT;19> z>v1yJ5)Uw$zQ?-iNIY*V1%}FXIDGd!fN>*pNudQ$?1)j!ulA2f$4#&Yy;r~wYa-@zGE;8e&~%f{{9;(%M^!e2 z+lLqxR%oI4jgz~CjgVrk@Rw`MPfEvXTX3-LA;X4oDU@cgPhE~EC`f`w?>^#};b+-@ ze)j?Yw$kY}?xw-iy(A76LtR;^GH!kJwSuqYg|5X)(nNWqA(!{Q8?0oYLf4IlMlkEC)60A^bUVcz{W~hG)!qD_Y1s71MR?^7=s&@0J%PW-&2sdeEZvhC@ z$%HwT{ZvE(++$tZ)5!p?UZ*U98@0L$Bi|LAx8>+c@Kzn%^%xt~vI=wDtx?(oP z8plD=zlRddIho2kG7s?$SWc)1hfzJF>R$SICc(ush~?ypmqffA4m{IZEBB`Lfp%_J z`YLB*%9Zyc)L|ZH)6S+Wqsy`jWm^iC9PtW;O*zP62>~L}!=LPq!i=LP%{J%P!7c2a z<(De2mA&X9)LD0fKz<~6J5XPNb>T^iW>#PaUQAcmSPBh)mK+~5w}teI8C4_z_xMFU zOtRuoi_+(+$}#`2J0VMKQ<&jJURo6^o$hB4k+VaHb2RZYmmRh1*q_itsd}Wc(zjYV z|5Eq!3~X|^47Cf!bbk^jbM{ITwOG}#*BqT_l8d#S@Ik=q4Nwnzp)xYALSFteqA7L= z`ez?4>a!UWA*KSto?y=}Me96UO(S_ZJ?Q0LrjLx?88XT@`5&YuKoUWnyvd!u`fln` z>lr_-e43_N+#K1Rtr4=VSxs?18e!Jvl^_X;Uu5NF#nXP7OY>S7*x`P5@97|w`be-o zXm_=TxICi8GvHkl8ec@89sG^Ju*^nfZ?ZJCwZ_af!Lu3bxQD9m7^t$c!0U(|djO|) zD(rj+HG6GFDbQsPcB&^lE;f>a#>f?!oAMQ1bdJqSy-9P=YraF%*U_nvc+Qk9f~y|c z%?wwL>DJ8i(SYmq)l8PZ{nslekL!_0aYWh=y!)A%eQy?B-r7aOAmZ`{QB(yx32Vxxq*lTQrztHod$UDUhsLA5nvDfkwBBq!ycs}*nB`BVUxN^qGZ z-(?Qqz1meFq|IsNwmLpNql0AHgLVkP?Wu|Lg#B3e zuwpVLz#J;XOmK65(Zf3-1$RIS>2~Jy-qc53jtsmwMGYuNJ(eVO*NhFQ)Ix{Dw4Phh znc1X0L4mQpzjC52W$e=Gz2&hy`GUBGw|ILs{8|g)tp+`jP?2781C_K0JYz2si2;_KNhfg0!f;^dAegwZ9!rsZbvQdDPiiLdWSrfowrRxHJZAb zml%=_*1aKBu}A@eov;ASxc7;3^K|YDo=f}Uqh52Kd!#6B^?mXr&*NMqh_CQVOpc;L zvoJG8Vwg_v>W;?>vH2N=wU_C*CZvhogQ>o1&x@{}AqBG?E7MIk$yHY74dLarp!BbB z;&^;lfPQ?ISvXp0q^2-qWqKS$i|a`IB%t#;*XQ0q^P18V#-s-J6EhuXC|#xcDTl&a z-Zd7!CMwI#iO`iI*ixc3E^LD6x?CvA`J~+$h<%pv;67>s7&fsz0&wGVI7Y7N5O5*x z8LjzpDb%y&br;d=l&yv!SO{$i++P{^aIaxkFA#8Dv2m4tn-iuR2TZFv`z4*j$|p-5 z#2?`kkcX-OIcUc*e#*__bsH!LaT=L|h|iI`pN7kR9b9h`L~PkciahgT=YZ2Np`doX z;>PCeq$gPD&}p?Tl+wmm8D(6Ykr)Z(uQD|#GLRMjibP!X)@?5+I*62fFTRE^c8uZ_ zyn;IGS_8@y#tm9>KcSTwQM#8&A{(3XiUri=43-#PMY}d4UWZ*DO&X4m;s-(l$ zt+s6(U>*!N&b@6VNPuaaG}=a~kZ05lUV+$T6l7r{Euu^Oth8xHxHm0{ON1*1woh|r zvg(MFG7uJo@YI$)vIW73O;(L2<=Ps@GBQy=tFVruHxTlQ1-s#Hj-5i1;aA9=EYVoj z705!oawK%nRR=25SXIhg&(iv#3Um7#G+6|l>ukSZK=ec}X@9(O5;k(>(v*sH*ji_q z@Fe&K<~dz$uoBRL8KDq@d-5(3zrqWQbd<#GgiP!4M!DAF zxV!F(z;C8!#7VvXWCe+0rZ-LM*mm7I*a^ALeZ$q@Aw^c9scuaZ0)N+Ij*C(mM!U15 z$$M)!q9d{%g4c0>NU=39pz2-B z+rsxipK)2apJ<5VNrb@7N2Y0?1t z#fyNu8%UcV-zYaa8g`!YktdB@!3(RwpI~+8A~p#}#(*o# z=M@NCz2SRix)AY=4Pc#!qK13IG9Ds}bEp~jwC3#tuyyOPTt&eX80uIi##ZXK1K!TD z*5b~dafoht+O^kbJ&+HvJU+20LGQ7l(&e|%QI#NMX-Cu-LQge1!!LlMWb$cF-=)K` zY3(=g@Sl?hM_hay_+`9xL!DwBbX!{^mlcov!v)GAq`jLzo5;cLfs@4pUZV8;y040j zI|0XG#a{K{+pB3ue_kwold`fAxERTm$XEZ3()pGQ=kON(R`RQ=oy?N=W-+W1{z(d( zMSREd``6HCc8m{c&k8UB_&m!DbF(~(5&aSb<25LDADY?~{Xpz8pQHAL^U|F&KiEQS zd^s%%dst+jRC`dZQpc!7gfIRL5N*C_lmmkyihAx959y(6eA?RNpULk%nm?VH29=@bt zU`SE_iNS>MUkoNkH%p^G)TMrL3 zVlK?PzV5h>d0;euSd_qmWme0YVGBHqW@6AVYtj{2-cfzmJpL9)p(j{SIw9rnX0YM{>jJ5R|8F_(^i= zV{*KRx-HW%s>LHk1+pHc?Puv%4NW6AXlrclZQwkENp(JzyrHY90H>xt|NevbX_ZTa zh&U_S8G~s#qSgKOy=#pjwp=rWYTjoI5Q4S>3MYmghQi69>0s74mZPayk7v0@>w8~1brLjb31Ccakq32BpRA+H!V%&)4h|)A2fBD0gsXI?Xt7zf zO-7BZ2c>ede%ri2m?`jsAehiF!(eMWZh`&k=u}(r+PFvEFQmtn*Rt0Oo|`4h95j-w zrF$}ugeW8-na=)3DMf`F2^b?q&{)opI+CbE!STf&{mYve{~O5-QZwlAO`QJ)`ahKj z(qDo!`ZhKef9wt7B;V`}kb`BXxP;dO41{Sy#TJ!-Z|`ONu0=HcEm6ZX*42*q7~x#Y z+={1k8{VZ?>kaG-*3AHWHVVs>IH)pPg(XFqj?VQ@IB|hP<-5!3L&F~-mM~;n2@WPj z4<_Evuf)Vt4{+wOhJJuYl2i@okDqqyC82)~3tomy%7F+KnNd#dkn07Ku?y}WFlwn& zgICIE!7sW7xK45BdKD?*iKLnl*owSA_ovxW_`(u1#V=I!Nnmx_;%Xk6-2lfu@P4t}m3IJ~eQoxf@$z;}>rbh)MTcp(VOPpIZA`t0Kw z@t~n4MaqK2@;rnbs~^4+QrKT{5TbWFjm4B4_2Ib4k2DcS%iGxmzIG)FChP}!*d)5l zlR(9Lg~QNTIcm5|yc38sxQeeE!O_wYe+&|&M{>(W-{ye)KN=)p|7#BZr3Ca_8tA`g z;*S9!*3485- zdYv+@ea3db@S}3+rYQpx;JkW$b4@vq(ft*s;*n))rF)~?CbHhrfdZCYH$%zRL z@j~5?Bz#iAc*l0C85V_SgOvy&Rjoip#45VwYcutzXv#j8oUUPbyK>BJ1B4wW$qNM+ ztF(zN#+VtutSU9>1+9Iy3|*YRt{Ypae=om|i5lH-jM?b}0!3(ThjOP*-TG1BZ4@el zs|-`4O*c2~`?phDOkBc`kSS#ZO1uUALlFe3K7TmSiCEo=$8Y&)hWJla3-@-%ztZ(5 zMNyLii2jVo&{JrxA;z}~wtA5{RZQfT2>96zLPY$9W~DtKkU|t(QvAb}cR^W_n?BOD z9wANkkUhZk<54#@_`+=)4;Y-h1|3BWC7>V7sh*1A%W$%_AYW4#s(yekuZYVocM-k` z7PGzSOaTesXtIb+Q@nY?y9fHoyVXt{Ij`ih9}u2-Z~)NpPlB`-YdKe9r>q|X1Rr(7 zNF{9;Kd6zvkn*jE4$$UwmB#sStF`}Gpxw;I_7~Q7f)NT0-bI ztJBsn$i;F}UwD;K+y4$NWs`=9YA~0-(x1&+J?vZm)u9Y}LbpX#w*lF$m_Bc7D*Y`= z@us0H(9}NqP9e^G3LHq3Yw{g&SYY2sV+7V5S~7us=b~Jx+vM6UK@*WFjaMJRA}u1s zyEDH6s?Rjaf2@NvK5W};5MWcQJ<7Lh)yB)j!ihUY+`A<)78GJyHJpUH0nn17G|%MRwBD1TQ1`*#${x6ge; z`J4LJUrs3hMEUz+fZwWNe}(E>zxa2Q|5ZcmpMZZSJ^wDMzao|G58yvf6#Nt5?|Y8l z+~~golJgJ1|HqX6C&J$!Nx%0de?`B}zYzXsr}EFCfA6HfpILv!A>e<~@!x&(pM(G2 zRDL(xzrs@g&*1-~_5Ks*?<@9q3;HWE4gRem{d3^oi|*fZA7=Q!E^j$W=y$)-KfJwC M-&*0T(eJDO2Nq5O5dZ)H literal 26279 zcmeEsV|Qg;*XD_B+t!I~Cl%XvDo(|=S#c#5+qP}nc2Z%5o%?>e$LQ|2|H0e)!#-o2 zx#nDJ;#$|1`MA!Zx{gBbHnK$>H7zcQQHuCPo6t|bPhfdBrlwPAIX?V(oqGVK!Xk@emk zdG#$6uCda2%ZuFR8L!&eScei-snk zTforxPQ=ZrZOHa6PC_|0+`7`p`!emJcpJKIZ(VQCZtB>md&QSF4h%~J2Ayo70FuDD z6@a2mR0C!ui`}%(fFMTxxAB`k;>}lzT{QfGZ9LPq?6`PSd2G_}^gD&a*X12~ujQ`yKKOFxXWAJ}-y&_Rgp&tkz zdM))9HuAK%8ILR?>n1GKPNM4TFTH`(7?V$qx7kgFkF1It1SaX%>H9XezR4GJHbU~a z$5s)Aiq1>cuEJAm?I@nP{XT~fw_`bTFRZFx&cuI%VGnZ*39 zSS|82qXsSvS|NTYCVzT>_K=*`mhp2H$fAhKWo2khGw1KKr0Gn*<&>gR1i^6bZx?gv z7$eTc7OPd>Beo}jI*71NIeWpZF}y-GP}{$ zxA1L!es8{ui9eSlS%L(x=~-gRG=hleso!L{TI3xfTvP;Cqz9IIi|EmDkGBUpt7(KA zU*u){jA<2xKA^!iZlq-uz|u0fleiQjuTBGf(Nk*L3|F@(?pgd+^|~}Bwh205qV@C4 z48R`41IL(yOR{PLVP_vY2_fJ6JlQi3LPfP~Zae3XI8}BJ@#rN(y zZHqFNm`GRJQQ5(}nR`Q8j<^26i}e;Jx)q9G<7qK0DDG`3vSYd>4Qm(?!d=lMW1e13 zoj_oojN>YB&>~OicYmircUdclmpZg!OYM%|Q{jQ4=5MAO4DA$%i`sUhGN7kc2<6LC zz}-o!D*U9_l+u(btsrqkk11_Yq!b1X2Dx)8|OrOF7^z#YA$QcCh zo6pC<04x^l5YPMqkp1z$806WH?^8 z|Ipm_bEDXHv45FWG4V3sXkCFP?2I;+D{;{;(Vi#%)sGlhl{}r+U0?Da&Ur=rP;x$|VG{_fZ|3hv6J8=IO&4GM9 zb$$W=zxP$4EGIhvMDB$92m`uh{=h(4bzvgCP&-G09&MmmrzBzZz2C;8ZPU|Sl4Sz3 z5B0d79RBgdj<^Sg_RvdL5{U}#iDrAv3t>NbHwgx9d|62tC<%dvdU1AMehG(|;f&TQ zkT^o0jm~xSOih6kmS03FcHcS|%4R(UbY-!2o*@|f+UCa_4*Xw&RW2$68=9MmGib~Y zKU+oDA0cxBJ&0!SaA2hQ5Ig|0CkrHW&%NT0(0@AK%;h|$YvyJM{!6a#-`sLg#gBO$wz*Qk$n7HuQG#~6w; zDYL@_5tBrYLLvn(Z1m5V(X?vXbZO){f(?XcaEEWJ*EN#K-Fi7hrf+sVw5T%>bJV3= zEr>EJ^ZBfDtkuXNco10)aPi=_h_q1U%XRzi7m#zVoz49fq7?cFE?;!W+GQ@8HdGDGIy7rx4>2WhI!W&)Ftg$<2R9Dk~y7+xdG#li|vZg zHtV_k-8-NVkk+(4!+aT+&?cZV3elcsaGWo`^>iy4#4!;`rRSF#Qr-hKB}*dHRJ}>% z^Gtlumyoy_5hP(UOtOP=sz7A~%r%Ne+14pu zwEVGzBtxxO9efL3x19; zy)`T3biX}Le{Obn`TTtuzSVwe-aVWTV~T_J^9z1{X6fkQ)%WAoe?M1w+I=_35$O0- z4%ds=LgS=>RM_~L#&_$9dL0)hupqqWXr{iW(8#wEmJ$}pHZ?CIlYJd0VWW`h$Sb-~ zou4BeMS9O&P1UO%tMFmQfP|^twlMG3CAjUTeZpdA0iAC~!GK_zKad3-B@M!iv_x)h z#ytI0nHF%>w~mt+i9(Y95-l!Ij3-4cPv8Zw#rxS0(Uw6^b5N!dL5@P z9EXNAa>nP`6Scw&(bA*lfl-I&CHnnu*LYco2VM^f}LL z$kmrR=D+Hex#F%G!HrqqHd^PxWuGps{kDy%qx&Y(?*gdW%NU~E9 zvcwVGw+*l?r0wA#=Z&UVS?y2oEb=O_kXm`;1Cbd+Pv0$n6loN?880T_C|NN;9yJvV zoLOtnbHpNuNJ@KdBDNBs zuDrMAPpqbFY%^n6z~i5Q$Fzs&X@S({dLU^Hl0{B~^m4DDdwnCU#zFCl5l$WH9=w$v z?2At!eTLdHw2fS#U%ByP2>hUPl^ctHdI@VsysY+E1#MF@w;lkrXxDK$2gEUzFG zaSen(l06U>-Dc=tM^awktelI;1Jrv>+W&~Y|10vQ&1iGnArJwvjWsU?j}h=!1vNXs ziHu5EXEcU`w1Jyr8!P(CT;f8g1h3Fb$XNK(z~GlV4A{2ohG(dP%uk?P(#m)ZbU@kf z&mmJFj1uJH(S17^Q0GHl<(*%8=uqq+x~5mp#Pu5`Xt2Q;F(^6lM)ZZbIxPgsfO5;- zJ%8c{Yb-`YgwQB3WF_=knEZN}(&O)+`heo_D6l|mab0}e=n8TmDUC6{gbjYI1?uwe zFT1E%P~gmoEnIBaKV3Ysk(m+mSrJXvo|$z3RMN5NQ^XR9Sv1u7iSiP4=#Gf_yc#Dw zzIzuC4qqC?BM(yz0VR2K$3TfJ(NG&vU)JUu^cucVq zV}E65nOeOX9)?1H73T)B70{TVXT%4q7BRmb@qM6usuRE{yTK&>mCn~f!y2Z#>K30_ zY-U)TsvmZj?yq_PD*yI;Xk%~(w}xIRH}vQOa$|G}d-S=nb$h^(Q)~W=aZCP;VM}sX zppi7q9y&|(PgZ);QUHf69xntq^I^;{k)VX1U|&J45cxw8V)YyTA1795iNg~H)Is3Y zV|@lIv(T9#aX276cViSmvH%>AU$fPGm2*ZCok=|D5OIGa7H4&0(sBQqw6Tdlu>>k! z5T@vKl?Ko$Gvo*%iy8YUhA3Z}3Nft}V~Ei5f#3-p7dZzC>g+6v9x*FY?wR`LZ+8O7Uor z-Yo|ddr*lvJY2YZZ1C!U9IP#TVwp*}^(jbFUjV#p2B|M`{{z5X_F@fohy0;~R|vgb z)4j2QSil58mPZB_Yq3>&VMm5AP4zK)I8`-tl zk-P3U>6B5OB=UaK$bm6P2Q`g%J5<&m3`ZMT>xn{zs@wg*+I!$1@u&g^oS7fbWQgQ{`%W*$Sr$ppq$)Lm3R; zyE^Fvk%q#E4v$QWSe0YOpQhfL#O#UM6A7SJN5_i9954s{k1Qj?5zqY52jV8r^!Y8? zSbX%kRm7Oeft!@pn9AISYUn#UuM&VM5)L9yQ%RRvJ3dWID35lJ+I-pb#6nLML6TXf z(6WK>nb~((k^t)sAN&g`O`G_)NH`Mx?FNNj%79etbT)DH^E>zRg}@c`fP@Y)_<;*; zq<)r~0BV0M3fJ6S1k)9CBC}*!y%uZ!2^6q|-Lptc92iK$B;tRBi3=eHK;&n(QPlyV zi4Oj~(lOaZ&Y?)XzExy;J!?u(5C zVI zbjHJt*+xgK!4l;lv87c9zR@pz!|zUvPhSM(QetU{q+V*9yH$=#z;HdJNC{6JaUkGN zH;YsHDl8d;e#)DISpp)6eQN{9A=e15FnEpqwQ(kX*d2-*0ugkt>RJL&RSI2p+@)}( z5nx?SVR{_HKeE5V=yU;-NW@Y#)h+ZD{}8fiE-%}RkupdJ_#;oaF-6U?l~BPS3}~ij z_B}Wj-B-c!3B3?dE;&99FVW;OY4lTjvVu^OFZ`?oF0KZ8Bqm&ex=VXY#8OkrvFO5; zY*`(LMFoe$X#Rpp!`ceEg1A9lStXAA*)s*H_|w4^P%A zO%O`a;Mqc*oW!Rs{}dMCZ8^WalvUD}B}f+a2lF$6lCSdM0)!<7Yd!pj5t_$AwXc&= zVr}==YA>{r2ah7$Y!RdgIW!0jqul-Bm(6==*>eHY(dskmTb~@Ju-j#-J>^1b=9&x&iv=czFLT6|#Z2>D^FFbpXzy;-3nkWh2ILHN$8M zR~rG^b?>X@G(&!YvVfjV9+QIx4z{$U{ILhK_KSgDf61+Z0c=qV6i<*y4yQ|r6&YML z8+)B$ly|z|S-@o&#?w3W9{MYMAfF<(co%H43q@_NR6xPSfcU4^^bBlk zLn=h%qpb1RABXFSELMxDEqg*gzwD;+!zIFL0`)%^S=1uROUoR1pkFUJ9 z=8x--=U6ZI)7o_lt(rxV&EG68(-pE=7t5@tIH~I1mNWmRf~a93_r`(vJk&OBXx2U} zglE+MZZO$6K2cMjedT~JY4?Zrg)d3|v*qBSnlxLvb0sYT*cu~oV2*rA0wp0j>*~I)Fy4_`;_)~$1utr4}o-Q}@y zo#SROeM}_a-J)&(IDd7vzrT37@BMWCmYU<2)ooB+wbcIl_Z7*uR(tciok4cdgD z0A9J8jmYgz-J}RElgW`T$COU`XDNfmd`DIBr5nBcdHbpYli)(*fylIPdXvqr#dE!d zB{j(@Rr}zJ-OG2+zS1Uox$(t4qc+d3_Uro6Z?km}$=WoO_&h8J=vuMDn(2-G%SiP! z{vBwr2@xg&CgXKd_vEQ1^@0Z~pg%XnRDyQGxg=t^z<$JCAV)2VP?)PQPH@Gvkm9wfykbJ1}9?* zX{3vJ*6-{xv1v8b$#|iRZ>IX`cRYb=LM#b3H+gWns=SD+Nk30kWjsyfBywno7;MBf z{3meLgHg3H_0frvqE1d_?!C=~iL@MHHro1}BrJmAF{9Oz`$8OaTfaQ+%X=p1^VM;j^RtYjvOxm_)sI1JH!Os4RhLRFI55>i&j?7gWOV05uun7~z%<1m>*<+qB+ zZuG8g1RusZ#yr4v7(@SMCPIBf#>5_W8#JEXNc|B3Ee@0^pHLlqQ^lOX4eq6$iSUZ| ztGD|WTz3o_=?8DcrJzJPsk)RgDkX;wl(1psX|^syGGUD8$5MQoSCsFNK6H>l6p2p^ zWjUOa9@V>%UIp5bdT<=QauYd>Q~)_zLEX#)y2Q*AX5tYfV(Me#=or2372i}CnI(VS zB}71;-GLT=!v#Z*rgetF{Mn6MCy6vD7>d3G{tb-HI3{~gs5rXFs0eh6n+nGVzp3qF zmdxwE0FZnfI=d`pu9nNU<|@HRlZ-o?&Cdik%`Jno^iD&n{`NxwLu?%#> z?*+}w!ydgOJ;CVT0_j{C;&(1ZzEbnGqThyE^$``Y-$sfeIJ}Q07Ri-kHj02lEmt~v zBp-^r{1sBX{M{QBDb07O7IVCJgNS98oXe=xnZ;J^!44UnLe)d;FeR(T{I9nJG-=&i zg58(x^XbMR!U?7!ZD2OqYjHg}vm!$!D|z@PQaMH?VTBE|n6X#)iqQ1GpJpFAh)q$O z)UsO$WFC&E3SZ1^{ z51tZ=x*VXPWSWxxn)5)eje%l6A%P(X`v9j+YOQH}!pz6^KcBcqUr2BHP3uYq^ITNpsnhn zCwNe+@`R~{VQI-~w)BaS=JO@vI9B7r5KirG*@lbm*iDTcIGg>Gl6FpDK-o6RbT~XB z82*^IG5^Q_J162;e}6ZBy$^i9%ivfzy|sdHa@P`^uq)!<$nsht#O>3S4KGiam)y!abK0g<(`2J6X^fjWEw2Z z9_#Q*HQy$f@Q0}yzbmH9S-P*kt~$SS%eg%7b3zK(Op_X9{i&$A!Wg3U9sgLKMuV}S z;+T4DyB5~aAO|ml3^LxCZ-sHzPyj+@$K)m4iv56k-WmPyIx4wSFzBkGYmMl{kn6tI zPsYSZ`BJdM_PW|2$?4s#MPdE)-Klw_qS`Oi!in|Lj!1*4eNzc49w{sV0%_m@+n-gj zT$oO%C%|?gfSPr|uZ}tFphoj`*LgLYT23KZOQ)nKO$!Z`(xUew7UVofsZc$q=gf?c z#8x3WxfxBlK4@yNwu5DcZsh?us76u@_JZwq`mWisnyv5;bWkq>4$-1a?hfa#@JCrj zXKaZ*&5UtWk}v-T$9gL>s!O@^+!(>ZWAkxspt5+~4p55d-P#UEE#IUl zBdddKpxV`(4Ec*=@!B0g2KyUvFe*$_xg3~CF;yPUqU4aTIhO8ex?@u#5rX3r`JMK9 z3FMOb&5j;BU#M>d-4*Nn;9QL$PwZ6@V$_@%@42R`jCspXVov>0|8CyR)xdl-j%mJ) z@~1vEVo2V5b(3DhjV<4942KqAqV2WP7LGccu>R(+_z z*h{(Af-ZJm3HIAo@+e_%9r(|{b!0~3@_Ge`HH#Hs)iCSfj$h%AC`W>C{T#pHuUuJ_ z+UrUE*OHVMyOduQ<~RTRsLd#xG=>`|$SHc5cj|`9&z;G^!YB_|P-l@-jef<4_D}=0 z6}v~rzwocLd2``!T*2^VV!w|7v*4ck`)fw5-_=F3mXuI$jLQAM@D zfg?6Yz6>tx(_-3a#I?5h&Zn=Zz@QpG|9q>}=RK4$S~;9moCA%_mScJkTI&%kqJPRL#i>O3> z5i@^z94^h7zfloW9_gy1832}z{=usYm=SbSOx(bBciCa#&Q_=jV>a7uz?1q$43h*Y z*|$NqiiI0;kGc~Dg1DE4v$0yJ)r~$1{SJB=E&+Z=6s;N8js`i1Y}lcLF%aU_NjQ=m zf_4W5Q3#?xL>du)qmbrSv(T{rTua8zw*>5hVlmsrMx6_w!=TlgYH^-9$Tf>7RuE7F z<_*73*X(skBK;$G|K?!8{IzWt!LH+o5ak=}IE^hsPv#CC-tv2HtX5zl3Xo_MAo3YP z%VHIy8v^ai8VMh-Lf}BR^TX;K5@&$Ffwzj;00M-mkdwtgiR``)qTTPujvn4|gkyco z1(w*8u&+?M0Nq-2TBHhOT@3Q|o%$YlY|e!1Sy3&n&~FkuxTtaG@I&gmF2aCjv^E;? zKNu9|OD%l-p44!|@flYfYP}B(9yMk0-oL%{ypdF6;SpljxJW0h=6Qh(Phb%7oEB;H}PVraF-$J_h+Fh<@gJd64 zFd_q+AR&?#A-2J?&>NyBJ*^mR0lAWKg3d3IPQX8>$_$|Vfm@71={Pmik+h0Op5J3 zKet_wAoR3Uj*KJuUPLPy zz+ShLH%UrvCrM0MuFSpfSvy+$3*8f6DN-Q_K@4OYZW2b=Kh+ZYvIXVqyyrGCke>QI z1dHKo0H%CUB_%^`hbXS0i9frf@({j$+YCs3j6O3?vq~Js4B?mgK!|)j^#!k!t%Y~l)sb=X&?Rb-c&8)zgo+ts zwlThiWHZOTibi@ArFEwgGcifpRm<d!wRy zWM02*pZ)QC&&6PPGE3F4^bX0?-{IS1qv`w{)O|%*Z1s8B{r_ysc{FSgZh-;-P)Pr2 zDgF0@t&64EcQdAc@BeRclAt2IvPD~Rd?a3K)EloE~>n18jGVKwXB17>f?01 zA9u9}hLMm)9ItQya^;zzd@9^XYXOWtB*;z#_tkMgF@b0{*7^nK4dZE|j^NX+6~ipY zm%M|$@YVNl68$?u{d9AknuxhYE_nfrm2#@V+E^O<;*Dkhp6LEkJ~{krtD8R zf?2Zy7PXWO68RLfR-%uO;m`L6x0CMAk98!2kI|S^v$t};kB`OX?e}C)P3sUE{g1!p z8U}t3f0+E9KZp!?8lJ$jQ+CmC(IVtWC_E=j+=WbFGX>KlGo`Mkm#RQ_op=LAGVCxPS4@Y@1CSncDc}^;N9XukHGewB zF?Tsk^7lj>?#$AL+{@_ELZQ@JX0v2bcaXyWFso7oNeGqir7>Ogq z5}569S(ie1FpKmudppgaa2Yz&>5;_iUFVLj6!#^rh}xCnzu+BqAy=wB#x9EP1LntO zJ1`-CkoE?xk|j}Hk^{XO6wa-JD?4SkW!*ZeLJqq*wM=Rlb2eS{0^wV0;mIF4ngLl7qSmz+AKeS+U z%XZc?RpaZIJ3a3DhBQthS0}1~u8-R7wK06Rlf}FK>}ptTPO*o}SPwjE`t8^m=o24U zRAThIgGQUb=oanz@|B+2#KL-VB!R7x2&S6-ju}29JK5@+-K)P9cR^h#xgjZ=!HQjfq00HMl7OhvQwW!T>MH8L^^kTtqyw5n^H%Oh0V(@p60@vTzN)~wsifY&b>=CENE!MqX;1h?DRRj!< zQ@@!Y7W$3q z=j;|ee+sYQhw`s9WbSVr6Se_&ehcEq4#(8Y;RC9!o^XHacXO1mt>^o4Axb>tBJFs; zwgxt1|8jQL=_%ZGy_Wp<%>4guQcv%=zY+Rs^FxOL01*B|^v*6Gwr0-%cHgSY*{^dU zcQVy{3h(IU7D(x@$Eyyw1~becfRaOa7E+9n^dSZ0DYuG$z9Q0$s;?DYnS0fakR0Dm zcI?iaX6id!N1Ub5r03p{3K9M+EKA$4IO+Gh9Ap|pU(QAVvBeASeK5(BJ8dDRQa@M~F^RU_< zI*+J*i0P+gxDoGAIyV>nL4?!09n()rUPRSbAZ6il7#x8|XEvha()AQd#X^}{V=F+n z;wc)cbNigo0owKZ)yb_3c2&2Wl5Bx%*c&2nu0P9 z(wIMB&$f)L~isl6hu1usxsAy z1du4?P9QAS`A2ZZULzrlknc($rvG@Iy4bRDg3dQR^4|;~j-A7B@h`QrjesxWJ8a;H zhnajtdbCjm>*h6s-$>-E#9pP7Zc+34gAIi&FU{RuueWFNPG8pbXi5cZw55g<=xcIr ziYr3A@6dxs>HnEHPx1V@GD;@bkHq(wY7Q5zs^_r_HF&*&OZIG2sGk}~8-9T}!b5C&91W@mmo{mtP22{l_Df$lL(002Vz z3vT}tYL-S$W~M4GPF8jn|01qKcid@T>c=K;-=}}c4ObZ%EGVk|f{QB@P2yRGaw$fl z%w=tVKo6O4AGk0spb)3BUUnAqHP0surm>^$udN+x*jWvq2ohm3c?$EiTbxJY&B=fib3D#%x zZ>eV0UA)&h-`7!GdNR%R2akN+Lfq17L(l#(AB_7_r|C#Bjlx(^w}LaD)4|WbZCS4C z`Y{TE`o8!E8}7$M)%I=O@&fwsQ=R3vhtnFJ+jdYIM1CJmmz&X_rBCY*IrWESCov&Q zxjiBq+uJ$dzPVdK3>RA#)YkWq=?d@WSdExQg~GGe}11@rIk}Eu$CFHjigzi!N256=hqN z6^){7H&Z`^To-mS6f~#iOWXTAX71-ku-j(hbVgvHS>wQ?@eo;9Wd9)j<;+qediMY< zOpkaA`D1VNq2CO;?UY7a-eolsYW-4IZIggM7+}toaa7-<6sk#soiQxWRxv&?U9{D| zhG+YYOfJ&txR9F`u1YwxV?@T3w(8ZNR|{gK&c)$`Fb^FT3#xXv6Hobmq|A z+aTAEb>6b0v`6PGNSB&^@%necp#R~ZFo*V|L${xq#+O6qPlprtVn}38Sp9)~dSb2^ z>z@{PxN73mR(K>+>P2KXe)Vyzi**2jGcuSvRr(xz+wm%|bbWzB{}v{f;YHgOSIQRa zkJJvR`iZKi7BN+dc|p6s2Nm<|THO_@caPE&nJn5<;tTs@s}EAEdQW2tyayEoMOJ6A z>wk8>xmhS$c{P4a>tB{xf%*mCz4jPaX;tN}n%m-RI1n&IR*Wow4%h1O{%BKicpr|+ zVX_y<_T&uO{rjAzFp)yRBu{A0wq;zkp`S(PrsbK4QS0Q!^lH`i5ZUBxtsN?m4%BnK zR5?$!D#}NYS5wO@IWsMI>nE3PWtnpKr9`Sx@+&UQS?aRY-_PcW!n{Bh5xF>`eqQSLBmRii6)lYAOiu*64 zAfpO6%N4=^MPKJ39;daZ3AkMsBlCBMaKb)9M#d-kZ`lGLYr0am35(0YY;n<(Ho>H@_KFp@)-hUqxt&b|->p#k`v z@z+^eAh0Jb@{Zp?o^#!yfIExyfChYuc~LQ7N^9*YU?6pt<1$_1MUy=6Bs{v3vj6H} z%u{CXk3r~X!Oy`ln%I!4*BcLS&3CH8GY=_YgWytJLgr*DS z?CxrcQo)_r@vTJ(!Z#66FmVv}AhHEWB;~sJduB<({ChYAocQmvMjucv30I$M2-09> z!WY(1H6G?~z}{Vmh?X-5ysG@ok>tyLZ@69o$TtMzUy>6VCaiT0fZcxMjRyM1xDVrp z*Fly&BK5y@sU$g6tGaxb;J$HCvIp*+H}8jMKi-B-=nQ)A{L#$8h}CzHQ3JMM3%uX) zQAd3<7%d!JEP?&tz1!w>l*2aJ;|T^MhUkD|jqt2-_}?|Rbr4Hp;Al9{5Ok!vt^;u7 z<(03FV`;Ps8$L&OXGL*-g_&J8B4}wL&`}i1ocE9#_4DiJp7?Uk32miaMSn(ia*0-I zOGC;EdE1I06ZH1~Qj)ZHVvl5~^JZHVJ9ero@aAF>Gr1YZg`S;i;+0M*62w6Kagx_l zW1mnd;&JunIt~vCmv2!|zl}T?a=z4|o`#KzjF0~pK zVP;bG=(MsQfr>x{_-#Yal`eT!iowNYnCmW?8rriH37ld4>-iwZq>XNYkiHstKP;}7 za}$`Ingw2SS@{`r^BP5?yi5S1#yJ3~WWf+G8jA^TQ0@D$Eof<2iUaS{h?*7k-FH-4 zr+oK^fOJGr^C}y6@J8NwS1y5#aaQ3vJG`PwS0?i!$yP`dl^i>Yz`D6mjfAP{f@Yl` zu-Klp{!E47r0FSdmZ7ga+`JTLHnCn~{#Q;SI#~BigiX}crz14EsoQf;;wm06N46h9hyn1>akGR5gyExvG2wf|0${=g+B3G`A z^Lu3nj0hD7$ily_9!LBi5Y@vx-hs|SzMV|tY{_GSq~+wwd|8Y5G0NK;{ot30C~0Ii zqV#ELR*U}C^Q6N&9BypHIGC^IJ7qlceS|EfVZr)`1m-E8{A_LZ$wnrxG1GkXD*Z*# z(*V%h*7WCM#pm%>Va&1sbI52bCBvE(7kG!o6e7|H^R{y_P}wxKKgP?dHza%ZnH>$) z-ng9TNCO%duD{x>(wm%|JtTZf)x<5yPKZV=erQ;K9u8ML*eD~pDV*(&l?ACr`hw_= zA`d;9?`0YwrLrO(Xzi52=Qqn%hto(W!5<9Oqi$gdMZuu12Y6cZnmBVUgtA-WDJoZM z_29BMoM6@qN%4I^=zGC_bd(f>Zu3{%f)>OrE36!ACEQSBq# zblHEjaVB{-i;#Pr{lM1geqi{{RQys#nHomp zy_{SW3CJ7Ii`wV z921|_y5C$z?HU<#&T(u)l|7Rg>n+ZNi0!ifGA=Obxc+6r46UV1rJt)&w_rf$N@)^P2dYcy7)#j|7kMNmk zW;Rd%13l7GqcPoVg&(^>d+WHMA_Bdj{*Hp$74fK$w2gD{J1wej((FrbvPLWEFg5!U zQg?}bS=GchU>bB!6a_xs9QbWKckzI*d`D06->kKAr%0#0t>=vy$2G4~TvB(65xg-| z#+Yh*JBo1Lqj89E8)GH9m3v}Yj#`FSN1A%T+fiFWJ_&m18)YA+WGJal}?vY_Z~ zryiN#Ed(uXr4qse0Wq!CE&S*kq1ci;X%SG0zm=q9OSlz>gw)FNm=UiY5fRG^@xsh4 znk3O1>Sm<4#Ehw0P?3#6b__(KRr(`! z^Dg=wV-Ji1tf1c#_A!uFhbV&ifvwDXe0;xPUK;CcL3B=zN%pw2>Zu8rHxU(TNlM0p z_g(jxgk)|nK#!$@*&EFNQCUFj!8!Y!zdbRY1l})gl~A@U<6fTCys~q4L%g z>-oUdq2ze2*5%t)zArCy>qy`8Qu+w!g9sWs0gZH21gfJ<8M$)WjNL|_pAJEJ8y~R- z5(4rSCIWZ}OTo}1(!tdDM z40bmvjBcZpA*vcR0<;1W#A4RSOQe#xSoCT2Rv{t*oglqv;Thp9!gR(Cv>svv*axET z99gpS3<#IRqWY;XA-<)b@pJpzGnv79brC6`4O#pT@zroRK8wuw!$_p8K!o8#;gSrA zoq?3=a!=b(wZ*H}3~T~d{&#kEW?q6W+B-XiA;ggc6ugxt-dTj+4puNvs7+j?6|3)y zBZs?#xRV=0M&T|9+u0ubi>m@)RE_J|>i3)J!5or48}{4C?Yv^D>(*vSKRx_!ERhxk zx*FxIbHdnu3-Lp@1=D2l3s6snS~gpA2$#>+KlXC8HQ07PW&qzsUgp~B?;juc#)TOh z&!J;$r{Kx!tb{vAfjP}ulX_Pdpao|`0k(N95bqU`((sYc{D9?IB~Z-60cQ(R4e`bu zLlP4tJzVV!5Qq#Kn^?TDP@~~Gd+eQ5(0QcRqwL8i+Xf}(T{rLX+I|ZeG9~g8AZDpK} zI90WpALd2+X$j*PB5p~R{@|{|oqe=MBrgun?jB-c77rAnB4t$0m>-;Sp88+=Sy{hT z-a8ulKeUaJv@FYv;VfVjTMI)^2!=Y`saxg)JJP?q_lLU+t#*#L7yD~CTw%=d8RUI_ z^0X)EoO(IYNzt+$sO$5^v5DVxs%6syI+;&t2Fm+>#ZUdBb*mx7MVvP0V^o@5Pu9s@ zHW0~ca$|pemx^>*y@JWnDO_)3I`#Y9@BTRM?hUEvmH$ml{to_k@a$GYk!G9*wW)bo zP|sIVM2C-lZ0uH8p)oTwSlbqu6c&z(Y0U$lNSKOKW!u_xRmKdpU%+msUVsjvKTc6l z0-g$RQGBClt9HzCrz_KZ=GDY1(Tl1FAuk>GX;JWgf82+zzS%l*dp&|m7Y(YV_I9yv zjOcc4Io&$AUG5jipg)ENDabVZL46p=ybl8rrKQv&*)s8cGTw4Udr{vx?J)`e2=3Wx za|yDE2h`}43w}`!WF<_|xonLlcq%ET#4ttUtnRzZuwl)5(`jbBi25Gu8#oP-zMS&v zJIH8)!ZL|S*(>HT{+}GXYt#n@V*7G~|IyxAb=9$LTNnuL7Tn$4-QAtw78VvX3-{n5 zxGr3SOK=PB3%B5I!QBFvedO-5v(Nnpw_d8%L+`EHtWhlWR-a|c9I|e|?~kwzH{VL=uDeO9id15r&urS2 z(v=lBOzkhx6NwVX%0v6;Yd<@3i?5};U#u6jF*P1Sg}deifFZ+E`WjU2sDG#v51^bZ z21c#n3PM5-+VTHXD03IVYnA8C;i*I~$FOw--ptEde z$7?*lp46DYfbG#SGHM=8;q%t=$lf41!N5Sb^39kf=YJ9z&g&owUF>)wd{cSg)*`Ds z4ZyqhT`J9$y_U4?lVNuP0+%{dnK`$siz6|Z^QB62Zc8)257B5t>xA%XTq(%VP;fM( zFZNM6IL_MJg@5*m#K&1yceEDzR%J0VPw=&@wVc+3R7{X(51-u?p6JJkGkK}i2TG&} zmw;wJR^Md?%R>nYVh$;^wZ$*C<_rm(*f36rv^X73J)*WBOjW+EqB6@;~N{0iF zzTzx+plhN#O5oAvw>9;GGR)aOiRz^is84Z#UGJRf9C;?*;VkIW95Es7Ke?3u8kOd- zpJ{2Cf87^eEs`zcEVpPUcE%4KBT9m1Ewk!s=X5&O{E`(1i_qUJ=|Xx%;qY|U{jPce zZB`sD=$veHr!O4`sxbatLPR~pOZd|#md?4jIM{V~LJE^aO{TGTR$FxRY}iD|?OPv3 z-a=9Eh{oI>W}p2rg@|tBuvKDGO8D$~8U+{d~-?fxTR&89ZLu zd|Ky00B8tmi9*yJmz|!Z%qwv^3Fqj&2sC~BC40SGBeF;AzE%$Fo;E81=x;=m71{%I zJFE9k%>ALgrU2b92YoYcEg8s<4Mnn=WjjDZI@do5^bp-KRO_~)O)ysll&en@ z8NsR_9&yuBJVl@&=UVof8mrMi^-3brCGH?IbL*#+6(;5{=5w>*7{S3GIDn3Wmw?l> zYdTx{xm5XdBu7oG>mKtkr%MVt!xg&ru(Vq=J<_Y>4~4eZV!yKw=h7ujEuZ9d)BRrN zoRbk~P4demFgJ$nm>TI+QAu2;6Aq28r*&6o3GETcO`i#=sJ#Z|7T$r7Q}=)aANnA| zMajC^tV}%cD-o6XcxBa1E6*XMyI;j&b_So0_^hBE@SH~yQ*n$T0Ta<|_JQ$U&Q`sw z^JgIRL5N@*jea?;d~y|?bOXhE@gVARQJi#4q-wE@X-JPJxX&M#6F4HeN09__#-xD$ z)i(>So^H_J`EO|>nZczz_*8TyLpKcigc+foOAeDf zY(-hC0hAVW1B@@HU3(KV8>XQPfm#K=>uxw4lH3~hg5tqZFR8gL>6G?qU$j~?K{9!%s850)h-7(eagb$0oH`!@&cj!Yhq(FG!m|hn#(YqIp1|y7tBEtEJ0`Yl9 zyTt51jSw0?9wN%zA1HJTMqJe6sVr`6pJctraoQK)cGu5T6HS0{moOMp6G)$5DK38p z0GQ&puO(x=G9%0&ASnO2_WcJf;$HxOf8rzl!~pyQ9x-EN}z8BEZLLF^qyq+ zdZ_Bh0d%dEXKm&O=#$U53%Gf5IMkK&3S{(x=T&Q((hAAT$0~zVpD#C)Eu$JDwQsY$ z$C?{o?!hrXFTm|3Aal)j;jO)+qv(<;WgV@NM(dYnGx6?kyvk)|N-3b>HsQx1F6%X) zUnwtld(reCqj%Ol5U4rMd?o>KT=3Dxvz2qAO+NTvI zVJt){Vyc{Pu7|kSd_e8OW#7S{{BL%{vK#JZMg7l}vv5n&9H&+mwT`X*;EXmDKI&_^ zH+`*4DLQ6ZT94_c(0X6b@^Sj8w6J7sX~(lAZ^=jlhknIjBzlal!)7s5h6!GH@kz^} zAv)q*#i$+))Y7L~d7?DQqZpj+EwuLjp7;KS`Bs7@BvyhW6z0V5@=-Yy?c=pY)LPjH z=R^0v9+vM@SXkI)i}73m`?avnxuIht*wg%oVBbOfXZrhJ-8^BkTH$gq_|rjYN@-fO z;wKS__Z*2q)cRrt*jf_?<;oQ)+c!O*;ho2xT)RGzrPVNU*^4KpI*BLmL>Y*c1WfDe zfQsm&inz~@hn_b`upsy1NH5s1kB}0}&hf3N8(G%xg;Vmb-M>fwp>*Ko7YsI=rnW6`#@#)y(d*Lsm^J`$3pE9>Xqm z+?8IkW&drO8G}MtMJy|=VXhQ!5fcXDu|$2ilU^Y6%7@`RX8T^sdU@T7d#YHqOeTzd zU~>twvm%hd*8GvcEXav$5JNcq*Oohnj%Zk65VvVt<^>HKH?-d zXT8y}L;Fya%U#?B#uhC?4NpG+SG&~+xCg|a4Da=lO?V`(s9$nKllIcxq@1J{(bJ(Y z(}G5myM;CS;7oYbXxEDQNc%I-m+nyT(Mz6c!}4QFtkAe>cHHv-sJF=-&7@LIxz4bq zK@g>JX5ZdO%Pnkz=r-c3U=9k-b`2LydyPTW5TYhGbDo3e{1xb&(>nR`?oi-)?Pt{8 z%IpB4?f2en{@QV<#qf`j#%8;_Sy$3xRYrdOxZB4@nFEcYh6AFhc~apFOxTg44ezZX z&{d{9I)#Sb>IRzfa0x=3k4*7pBlay&Hn=|0$g~uZT*UmEm3*F|$B?}?ZESkfjH7k7 z4*gZ(qQG{>iSKfL4_&gK_ti<^x>A3$ps0+5a4JUF%WyQyLAc<}ODtFB}d>psQ~X59_b|fl#&sn=~!Ztd1ws$>YOP0Z9mO8tCWufGZHNf>6M?lTNlmS zfmU$Gl9-+cE#s_qjffEUl2%BGfr>)fn~pj_Pu4a60=i~HnfwygM70iCDZD~xfB@|~ zdX?JV=@N|ew22P^kc2d;46LG2HFsn#>#L|m3eh*J4kRWl=2U2D(Naq&hYNNqb&8j! zhrMnQr<~}WN#EYM|M;};;sFDK=1{J|24Y?;yj z(=9@8b$!!74Iw~--~06VX}Y$9^h-ovVnE?yT@k;(TTNqgej{l|{;jsBF*kp^KUoV? zHhd-kW0ZAaCn@#YSrE92gPWx&Y!LJO4@_Hyi*OrtHuQU)Ly66on$UcCpwM0Bq@Rj(gtt|TkusF-je)|iS*F`T@S4^B20xQ#b5_4n zx0qBHkjpJ1XuOEq;jxd-@SJ%}K%_S?PrY7g7kw0y@^W)bWD>IH?N2IBuZ-aI1rcQo z`mWDxVE)&WmV9GtS%kg=GN2U^bFg;li*m)1YKf$K3>SpHSr5wxKjk?=`>phxeK0eun$#RHLqvJEPn@;wO=gh{k z(IIt~Q%)Wx?mbwUnIc`QrD(0y3l5TN>GF60E#(JB0)lG}72X5lSqT9YKf9YeZ17VC zjPfzy$^qtc&=SLybqqbzRyPU(O9c>jqm2yF1RdJjT3wsBn6N^O$Zf6dMZ$0WKK^Pl z*t&N{CYGB}iGccEFc&Fyf0akM#&lD{5#_@`m~kd%0JvHK>tzBJTwWSA$nT3cpbB83 zawI4WA+*YQ;b*nqR6~*%@ZiwJQm6=-pB&wrijnEp5cw&z(dTYBiO3PM#=e7Nn4s4q z$D%126Hb0eQ>kUM8o$dSF+#5#YsNdZJ)>oI_vdF_mz|`zz=;PJ;>v$KP>{bLRcZ(njqo@6u1)$S-%Brb1b>wk*)(v2T{1x zUHc@%dpTK2{%rc64`59r(ylF@E7eR)2{hA`s@*{JZ)FoPZH$ADuC(}0eqHPDL7qP2 zEG9xxN8|Xrr@5}d-mqjbtXHTpksqHcyDIYWhjRshT9p=_mt)@TkuaNYE|l zVQ}sK5M0K_2LAL+Nv%%_LJ@}zejIpDPcTP)%lG&ZY$aq9LSgQy!xfOqZxD()%xx>sPk69dE9S^qwQJ-+(y@A>dw9Qj!^%=5%z^9?;RXGJe=KL z?$a40B6L)a7|a_=?CesAUzw(fvFC7vxx*^y4fSb-wVQ9ru)NrqV)9+*QLH!9G^-r! zGD~isWRMHZOn&~zB)lDc3KzS9Yo2vB?g=bX<))UrwoB~Y>uA)3hg>5pFr4RMr+{tK zcp=OVaoGSb%w~WS4V?yDWqm^5h-|r1du2UJ-|oSOjh1ca;Jq`T6Bs4?wO#3u>l)fC z3)b+JWQ>}aWmu;sl(W9mggRiQ3!0MbiBPVWMI=M!|1JZEOmnQ~Q4@2LvNg7I!O6ha zCNp-xBzsn>33ZxJAr1p*AO`5Cb2uVvrIcF&r4VO*m-4~2p7WV1>EJg4icD*lIl5NG zG}MnY@g%()pr_u)9WULpQ0nGZTC~`z_16j1gy@FTyGQmyVk7ao_gfLWP3{v!JY_lq z8ZT)284UHFb`%eg4SH5kJ|2FfECUcO<+WP|ERk_3@cgnkDw$H{dWV87 zE01GR{e&1YA%uXo9+Qof+OJDcx46Y};?Km&8>Bb`pVF~4 z(07CxYu<&|0wbu{USDjKpszd9zSiDa$`m-O?erGyywj@{Uh`Abi8fy<=ViWreq1w6 zyD4ALgjZqFHC?KF2l{1H-`iW<%l)A`798B}r4dAitm6xXrMzxLWZ;B#?)TzqC%TgY&|pCrTn1z(s7hVy5HZ<)h5b7p zXLmC5sydX=xt=M0wWNLV?%-!ylg71xVkQjZ?&d+vK38}*jZYmakY3H7yGQR)guGl` z#ig9aet2*O@)oM@@uH)UtWO4}H`oODHVS75G^L=F0FU#NK#%MglnTrANEzh!0Oz-P z=hkD^;^@rlJGIQlhUB>NFSh-xk3OG>oyoe8HI%)QVKvNCG6ahPp2evst=CDQ z&`e6+qAgNpgC)@%L|37dy-uEuMgwURc|j3hzx#(p-t5BOp0A+Xs~JePjkD*=e+KkE z=0BWS;9PnXF`N)FjHwR=s^kaOs2}E6=r3pmnou-dyj$KKZ+)eDo=Nc9B{8;nwUG|#bC;2EcBCwxA3-hI zcpJnh@#w>FHQ9y7@GqfwdR&?$qn+|BOzt2(-U};3qAks-6r=mkLzP+}?t0jSeih4i z>s`DzKMX?jhzm2Qo4MpRm~J^n345NzvkAv<@BI(2Z@$j~U6@0aQ8RdU9@0!seP!jM zTnc^O+Ez|w$fm(lnC#G4_REbLROj0_@6%yjnKa=yxM*P~YSLWfOTdsJ8yUV4_xk@zE*xg{Gq0(cN}))jiuiSWoo+ri1galj3X{UQ~nP%*6yB zW|eH@X%tHy4^}-EjaZPMn(1+hDS-_h+V{I%q#&);^|X?4dWA#rDB95*kelJ)2q*j- z9Qg;|cF$g_>pNj+CS)>ub`ArJn9?L_H=LWfQhs&$v}~ot^%kC? zF*?1U_wrwyH-5gn76bi#S!bbr;zs_pfXLw$1&Z;C0=0CsP;+r~a%Ht}bg}vucmDqg zps(v)pW}^Gd&uxYPL-d~P;Qy6%1jE5F}Yh^A|kFSS1~*qF_5?dfRDFRz%uU3ZbiO5 zU%ow*d-LMMeWdaP8QgFx`baTX%7Rtw{pNT5^K>p*HeI&)xnkZ<0QIcwownR%J&(E~ z$e+|rbg^~$ZS)g!kD=yAcR1Lt@=p6?mC@RxVficTq337~kV1;nishZ0T|zy?Y#(GO z1jt}W6K3^79icH7GB7 zl2UHd-Z@;K&FDrKo&ftGlbY8P4NO-TE~LG56mcsG*mQP1C_dVir(Kp+pVvb>w~9Jv z3qZA2aR@=mKwcaknuokl_HDWTB`8!xTAU1hRK;9z{O}%R%4O8uP3OP zj9yBX!BxF3>XA_G2=&*G3PPtOETU0Ccs?jB9_76l^2-NNs_ckbJjvu+KkDSau+dYP|7eZQWc zvcmq}w4$STzZ`O`YDRUgKrDA-6XEkU(O2dU5@Z4DJ&q*)M!;(PPCiRgMzO73=Y~Mc z1PY%7wJ72thMC?PtUX1Am+>`#uOR5Cs;!ez{Rz4ovK&*G3Mq?ooeUJu4vgbFASG|t zh#D-g#8K*F&#>F8X`dWXj}3O+Fl7te?&seetCf6MwI@3l4Nr01j5FKJbZU6B#^pN3 zE5fh((Bn_2$=9EOPK!UT{s#k`yte=V diff --git a/research/lib/plotting.py b/research/lib/plotting.py index 822c8d3..67b47a3 100644 --- a/research/lib/plotting.py +++ b/research/lib/plotting.py @@ -1,5 +1,5 @@ from collections.abc import Callable -from typing import Any +from typing import Any, Literal import matplotlib.figure import matplotlib.pyplot as plt @@ -79,9 +79,14 @@ def plot_confusion_matrix_heatmap( predictions: np.ndarray, target_names: list[str], title: str = "", + normalize: Literal["true", "pred", "all"] | None = None, ) -> matplotlib.figure.Figure: """Plot the confusion matrix as a heatmap.""" - confusion_matrix = sklearn.metrics.confusion_matrix(ground_truth, predictions, normalize="true") + confusion_matrix = sklearn.metrics.confusion_matrix( + ground_truth, + predictions, + normalize=normalize, + ) fig, ax = plt.subplots(figsize=(8, 6)) sns.heatmap( confusion_matrix, From 69018f88f0837eb58298ff6c412c57db296f7b3d Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Mon, 27 Jan 2025 15:41:36 +0100 Subject: [PATCH 09/12] Try including SYNOPTIC_TABLE and LETTER in the training set --- .../VM_document_type_classifier.ipynb | 2716 ++++++++--------- 1 file changed, 1197 insertions(+), 1519 deletions(-) diff --git a/research/document_types/VM_document_type_classifier.ipynb b/research/document_types/VM_document_type_classifier.ipynb index 1ea6890..0e4c7e5 100644 --- a/research/document_types/VM_document_type_classifier.ipynb +++ b/research/document_types/VM_document_type_classifier.ipynb @@ -42,6 +42,8 @@ "\n", "INCLUDE_RULE_LABELS_IN_TRAINING = {\n", " # \"REPORT\",\n", + " \"SYNOPTIC_TABLE\",\n", + " \"LETTER\",\n", "}\n", "\n", "CV_FOLDS = 5\n", @@ -120,7 +122,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Starting run: thoughtful-sheep-24\n" + "Starting run: fun-deer-165\n" ] }, { @@ -161,7 +163,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025/01/23 14:34:42 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" + "2025/01/27 15:36:10 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" ] } ], @@ -1255,13 +1257,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "Adding 0 OpenParlData documents to the training set:\n" + "Adding 2261 OpenParlData documents to the training set:\n" ] }, { "data": { "text/plain": [ - "Series([], Name: count, dtype: int64)" + "document_type\n", + "LETTER 1553\n", + "SYNOPTIC_TABLE 708\n", + "Name: count, dtype: int64" ] }, "execution_count": 13, @@ -1298,16 +1303,7 @@ "cell_type": "code", "execution_count": 14, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/zq/k8fwbncx1vg2swbktbl1t4z00000gp/T/ipykernel_99091/3027970643.py:1: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", - " df_input = pd.concat([df_fedlex, df_opd_train], ignore_index=True)\n" - ] - } - ], + "outputs": [], "source": [ "df_input = pd.concat([df_fedlex, df_opd_train], ignore_index=True)" ] @@ -1321,18 +1317,16 @@ "data": { "text/plain": [ "document_type\n", - "LETTER 3084\n", + "LETTER 4637\n", "DRAFT 2898\n", "REPORT 2153\n", "RECIPIENT_LIST 1770\n", "FINAL_REPORT 1747\n", "OPINION 985\n", + "SYNOPTIC_TABLE 789\n", "VARIOUS_TEXT 418\n", - "SYNOPTIC_TABLE 81\n", "SURVEY 13\n", "RESPONSE_FORM 7\n", - "DECISION 0\n", - "LINK 0\n", "Name: count, dtype: int64" ] }, @@ -1361,18 +1355,16 @@ "data": { "text/plain": [ "document_type\n", - "LETTER 3084\n", + "LETTER 4637\n", "DRAFT 2898\n", "REPORT 2153\n", "RECIPIENT_LIST 1770\n", "FINAL_REPORT 1747\n", "OPINION 985\n", + "SYNOPTIC_TABLE 789\n", "VARIOUS_TEXT 418\n", - "SYNOPTIC_TABLE 81\n", "SURVEY 13\n", "RESPONSE_FORM 7\n", - "DECISION 0\n", - "LINK 0\n", "Name: count, dtype: int64" ] }, @@ -1419,7 +1411,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Empty texts: 705 (5.4%)\n" + "Empty texts: 996 (6.5%)\n" ] } ], @@ -1476,8 +1468,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Train: (11205, 20)\n", - "Test: (1246, 20)\n" + "Train: (12978, 20)\n", + "Test: (1443, 20)\n" ] } ], @@ -1497,7 +1489,7 @@ { "data": { "text/plain": [ - "1246" + "1443" ] }, "execution_count": 22, @@ -1553,8 +1545,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 11205/11205 [00:42<00:00, 261.42it/s]\n", - "100%|██████████| 1246/1246 [00:04<00:00, 264.42it/s]\n" + "100%|██████████| 12978/12978 [00:39<00:00, 326.57it/s]\n", + "100%|██████████| 1443/1443 [00:04<00:00, 322.67it/s]\n" ] } ], @@ -1582,28 +1574,28 @@ "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=11204, new=0): 100%|██████████| 11205/11205 [00:10<00:00, 1076.61it/s]\n" + "Embedding (cached=12977, new=0): 100%|██████████| 12978/12978 [00:08<00:00, 1467.78it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(11205, 3072)\n" + "(12978, 3072)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=1245, new=0): 100%|██████████| 1246/1246 [00:01<00:00, 1128.29it/s]" + "Embedding (cached=1442, new=0): 100%|██████████| 1443/1443 [00:00<00:00, 1533.08it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(1246, 3072)\n" + "(1443, 3072)\n" ] }, { @@ -1643,8 +1635,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Train (11205, 3072) (11205,)\n", - "Test (1246, 3072) (1246,)\n" + "Train (12978, 3072) (12978,)\n", + "Test (1443, 3072) (1443,)\n" ] } ], @@ -2123,10 +2115,6 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", @@ -2136,11 +2124,11 @@ { "data": { "text/plain": [ - "{'fit_time': array([1.16483688, 1.18426895, 1.18561172, 1.37229896, 1.09105706]),\n", - " 'score_time': array([0.03063822, 0.02395701, 0.02717113, 0.02384305, 0.02497697]),\n", - " 'test_precision': array([0.94604148, 0.95137891, 0.94749069, 0.95067906, 0.94861341]),\n", - " 'test_recall': array([0.94957608, 0.95403838, 0.95046854, 0.95314592, 0.95046854]),\n", - " 'test_f1': array([0.94739411, 0.95250867, 0.94856175, 0.95127688, 0.94939214]),\n", + "{'fit_time': array([1.17150688, 1.17477131, 1.08553219, 1.32725191, 1.02516913]),\n", + " 'score_time': array([0.03406501, 0.02309465, 0.02185702, 0.02506423, 0.02315879]),\n", + " 'test_precision': array([0.95261642, 0.96104029, 0.95503514, 0.95568168, 0.9531562 ]),\n", + " 'test_recall': array([0.95454545, 0.96224961, 0.95647149, 0.95645472, 0.95414258]),\n", + " 'test_f1': array([0.95337084, 0.96132164, 0.95544595, 0.95591519, 0.95360199]),\n", " 'test_pca_explained_variance': array([nan, nan, nan, nan, nan])}" ] }, @@ -2193,9 +2181,9 @@ "output_type": "stream", "text": [ "Per-document CV scores:\n", - "Precision: 0.9488 (+/- 0.0020)\n", - "Recall: 0.9515 (+/- 0.0017)\n", - "F1: 0.9498 (+/- 0.0018)\n" + "Precision: 0.9555 (+/- 0.0030)\n", + "Recall: 0.9568 (+/- 0.0029)\n", + "F1: 0.9559 (+/- 0.0029)\n" ] } ], @@ -2245,8 +2233,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025/01/23 14:37:41 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", - "2025/01/23 14:37:46 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + "2025/01/27 15:38:51 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/27 15:38:55 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" ] } ], @@ -2260,44 +2248,32 @@ "execution_count": 33, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.94 0.93 0.94 259\n", - " FINAL_REPORT 0.99 0.98 0.98 157\n", - " LETTER 0.99 1.00 0.99 221\n", - " OPINION 0.98 0.98 0.98 87\n", - "RECIPIENT_LIST 1.00 1.00 1.00 158\n", - " REPORT 0.93 0.95 0.94 193\n", - " RESPONSE_FORM 0.00 0.00 0.00 1\n", - " SURVEY 0.00 0.00 0.00 1\n", - "SYNOPTIC_TABLE 0.00 0.00 0.00 7\n", - " VARIOUS_TEXT 0.62 0.62 0.62 37\n", + " DRAFT 0.93 0.94 0.93 259\n", + " FINAL_REPORT 0.99 0.98 0.99 157\n", + " LETTER 0.99 1.00 1.00 335\n", + " OPINION 0.98 1.00 0.99 87\n", + "RECIPIENT_LIST 0.99 1.00 1.00 158\n", + " REPORT 0.95 0.95 0.95 193\n", + " RESPONSE_FORM 1.00 1.00 1.00 1\n", + " SURVEY 1.00 1.00 1.00 1\n", + "SYNOPTIC_TABLE 0.97 0.89 0.93 70\n", + " VARIOUS_TEXT 0.61 0.62 0.61 37\n", "\n", - " accuracy 0.95 1121\n", - " macro avg 0.64 0.65 0.65 1121\n", - " weighted avg 0.95 0.95 0.95 1121\n", + " accuracy 0.96 1298\n", + " macro avg 0.94 0.94 0.94 1298\n", + " weighted avg 0.96 0.96 0.96 1298\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -2392,15 +2368,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 9851/9851 [00:25<00:00, 380.92it/s]\n", - "Embedding (cached=9850, new=0): 100%|██████████| 9851/9851 [00:08<00:00, 1217.44it/s]" + "100%|██████████| 7590/7590 [00:21<00:00, 351.37it/s]\n", + "Embedding (cached=7589, new=0): 100%|██████████| 7590/7590 [00:05<00:00, 1447.65it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(9851, 3072)\n" + "(7590, 3072)\n" ] }, { @@ -2458,14 +2434,14 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "127\n" + "100\n" ] } ], @@ -2494,14 +2470,14 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/27 15:20:47 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" + "2025/01/27 15:39:27 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" ] } ], @@ -2521,7 +2497,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -2537,7 +2513,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -2555,1440 +2531,1143 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 document_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_mldocument_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_ml
3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTDRAFT
3866038684agvnldocInformation (PDF, 8 Seiten, 450 KB)REPORTVARIOUS_TEXTLETTER
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3876638790agvnldocBeilage zum Anhörungsbericht (Synopse BauG) (PDF, 6 Seiten, 47 KB)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3893038954agvnldocAnhörungsbericht (PDF, 99 Seiten, 924 KB)REPORTREPORTREPORT
3907439098agvnldocBeilage 3 zum Anhörungsbericht (Synopse GGV) (PDF, 2 Seiten, 81 KB)SYNOPTIC_TABLESYNOPTIC_TABLEREPORT
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenSURVEYNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)RESPONSE_FORMSURVEYVARIOUS_TEXT
3935839382agvnldocFragebogen (nicht ausfüllbar) (PDF, 4 Seiten, 297 KB)RESPONSE_FORMSURVEYVARIOUS_TEXT
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTSYNOPTIC_TABLE
3962439760aivnldocErläuternder Bericht zum Entwurf für ein Gesetz über die Nutzung des Untergrundes (GNU)REPORTREPORTREPORT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTVARIOUS_TEXT
3975239888arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLEVARIOUS_TEXT
3976139897arvnldocListe der VernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3977939915arvnldocBegleitschreiben VernehmlassungLETTERLETTERLETTER
3991740053arvnldocerläuternder BerichtREPORTREPORTREPORT
3992740063arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
3993140067arvnldocGlossarVARIOUS_TEXTNoneVARIOUS_TEXT
4012240258arvnldocErläuternder BerichtREPORTREPORTREPORT
4017340310arvnldocKonzept Erneuerbare EnergieREPORTNoneREPORT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)SYNOPTIC_TABLEVARIOUS_TEXTVARIOUS_TEXT
4041040548bevnldocVortrag: Vortrag-02.09.2020-de (PDF)REPORTREPORTREPORT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4050840646bevnldocBeilage: Beilage-Vernehmlassungseinladung-17.06.2020-de (PDF)LETTERNoneLETTER
4054640684bevnldocRRB: RRB-28.04.2021-de (PDF)DRAFTVARIOUS_TEXTDRAFT
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)SYNOPTIC_TABLENoneVARIOUS_TEXT
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
4158741748bsvnldocVernehmlassungsschreiben mit AdressatenlisteLETTERLETTERLETTER
4165141815bsvnldocLexWork-Änderung des UniversitätsvertragsDRAFTNoneDRAFT
4167241839bsvnldocGesetzesentwurfDRAFTDRAFTDRAFT
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4214542719glvnldocVernehmlassungsschreiben [pdf, 82 KB]LETTERLETTERLETTER
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneOPINION
4215742731glvnldocAntrag an den Landrat KiBG (Vn).pdf [266 KB]REPORTNoneREPORT
4215942733glvnldocKiBG_Fragen_Vernehmlassung.pdf [42 KB]RESPONSE_FORMNoneVARIOUS_TEXT
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTOPINION
4263543277luvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLEVARIOUS_TEXT
4270243344luvnldocGesetzesentwurfSYNOPTIC_TABLEDRAFTDRAFT
4275043392luvnldocBegleitbriefLETTERLETTERVARIOUS_TEXT
4278043422luvnldocVernehmlassungsentwurfDRAFTDRAFTDRAFT
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026SYNOPTIC_TABLESYNOPTIC_TABLEVARIOUS_TEXT
4287743520nwvnldoc05_NG 854.1_Gastgewerbegesetz_Vorlage an LRDRAFTNoneDRAFT
4289743540nwvnldoc01_RRB 183_Teilrevision Strafvollzugsgesetz, StVG. Antrag an LandratFINAL_REPORTVARIOUS_TEXTOPINION
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneDRAFT
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneFINAL_REPORT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneREPORT
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTREPORT
4302343666nwvnldocBericht zur Vernehmlassung [PDF]REPORTREPORTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneDRAFT
4316143804nwvnldoc02_Bericht RR an LR_PBGFINAL_REPORTREPORTREPORT
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneDRAFT
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411344763szvnldocPlan LandschaftstypenVARIOUS_TEXTNoneVARIOUS_TEXT
4411944769szvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4427944929szvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4430044950szvnldocEinladungsschreibenLETTERLETTERLETTER
4439045040szvnldocVollzugsverordnung zur VernehmlassungsvorlageDRAFTNoneDRAFT
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneVARIOUS_TEXT
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4458145231szvnldocEinladungsschreibenLETTERLETTERLETTER
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTDRAFT
4504445694tgvnldocerlaeuternder_bericht_schutz_der_gewaesserREPORTNoneREPORT
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4512345773tgvnldocverordnung_gesundheitsberufe_17_8_2004DRAFTNoneDRAFT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTDRAFT
4516745817tgvnldocenergienutzung_vergleichSYNOPTIC_TABLENoneDRAFT
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4554346426zgvnldocBeilage 2b: EBP Anpassung Verkehrssteuer für PW in ZugREPORTNoneREPORT
4554546428zgvnldocEinladungsschreiben an die Vernehmlassungsadressatinnen und -adressatenLETTERLETTERLETTER
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTVARIOUS_TEXT
4587646762zgvnldocSchreiben an die Vernehmlassungsadressatinnen und -?adressatenLETTERLETTERLETTER
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionRESPONSE_FORMNoneOPINION
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionSYNOPTIC_TABLENoneOPINION
4667347560zhvnldoc20110915 Zürcher Psychiatrieplanung 2012 VersorgungsberichtREPORTNoneDRAFT
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4681047697zhvnldocRRB 98 2013FINAL_REPORTVARIOUS_TEXTREPORT
4681547702zhvnldocBf FD Vernehmlassung Änderung PVO Fameg-Kibe 19.2.2013LETTERNoneVARIOUS_TEXT
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4726048147zhvnldocBegleitschreiben Vernehmlassung Planen und Bauen im Uferbereich von SeenLETTERLETTERLETTER
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4744048327zhvnldocErläuterungen zum VorentwurfREPORTREPORTREPORT
4754448431zhvnldocJI - Änderung JVV (Versetzung U-Haft) - Vorentwurf und erläuREPORTNoneREPORT
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4766748554zhvnldocVernehmlassungsvorlage VVO, LPVO, MBVVO Änderung betr. Urlaub hinterbliebene Elternteile 28.07.23REPORTDRAFTREPORT
4776048663zgvnldoc2) Teilrevidierter VerwaltungsgebührentarifDRAFTNoneDRAFT
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTDRAFT
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4840649323glvnldocBegleitschreiben Vernehmlassung [pdf, 67 KB]LETTERLETTERLETTER
4898249959frvnldocListe des destinatairesRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneDRAFT
4963850643nwvnldoc08_NG 171.2_Gemeindefinanzhaushaltgesetz GemFHG_Vorlage an LRDRAFTNoneDRAFT
4971450719nwvnldoc04_Synopse kStG_ÜStGSYNOPTIC_TABLESYNOPTIC_TABLEDRAFT
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneDRAFT
4979750802urvnldocRichtlinien RevisionDRAFTNoneDRAFT
4992450929urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
5000251007urvnldocPowerpoint MitwirkungsveranstaltungVARIOUS_TEXTNoneDRAFT
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5004651051urvnldocGesetzesentwurfDRAFTDRAFTDRAFT
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTDRAFT
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTVARIOUS_TEXT
5092352424zgvnldoc3) AntwortformularRESPONSE_FORMRESPONSE_FORMVARIOUS_TEXT
5104452559aivnldocBegleitschreiben zur Revision des Gesetzes über den Fristenlauf (FriG)LETTERLETTERLETTER
5141852971sgvnldocVernehmlassungsvorlageREPORTDRAFTDRAFT
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneREPORT3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTSYNOPTIC_TABLE
3866038684agvnldocInformation (PDF, 8 Seiten, 450 KB)REPORTVARIOUS_TEXTLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3876638790agvnldocBeilage zum Anhörungsbericht (Synopse BauG) (PDF, 6 Seiten, 47 KB)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3893038954agvnldocAnhörungsbericht (PDF, 99 Seiten, 924 KB)REPORTREPORTSYNOPTIC_TABLE
3925339277agvnldocLink zum FragebogenSURVEYNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)RESPONSE_FORMSURVEYSYNOPTIC_TABLE
3935839382agvnldocFragebogen (nicht ausfüllbar) (PDF, 4 Seiten, 297 KB)RESPONSE_FORMSURVEYSYNOPTIC_TABLE
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTSYNOPTIC_TABLE
3962439760aivnldocErläuternder Bericht zum Entwurf für ein Gesetz über die Nutzung des Untergrundes (GNU)REPORTREPORTREPORT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTSYNOPTIC_TABLE
3976139897arvnldocListe der VernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3991740053arvnldocerläuternder BerichtREPORTREPORTREPORT
3993140067arvnldocGlossarVARIOUS_TEXTNoneSYNOPTIC_TABLE
4012240258arvnldocErläuternder BerichtREPORTREPORTREPORT
4017340310arvnldocKonzept Erneuerbare EnergieREPORTNoneREPORT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)SYNOPTIC_TABLEVARIOUS_TEXTSYNOPTIC_TABLE
4041040548bevnldocVortrag: Vortrag-02.09.2020-de (PDF)REPORTREPORTREPORT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4050840646bevnldocBeilage: Beilage-Vernehmlassungseinladung-17.06.2020-de (PDF)LETTERNoneLETTER
4054640684bevnldocRRB: RRB-28.04.2021-de (PDF)DRAFTVARIOUS_TEXTSYNOPTIC_TABLE
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
4165141815bsvnldocLexWork-Änderung des UniversitätsvertragsDRAFTNoneSYNOPTIC_TABLE
4167241839bsvnldocGesetzesentwurfDRAFTDRAFTSYNOPTIC_TABLE
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneLETTER
4215742731glvnldocAntrag an den Landrat KiBG (Vn).pdf [266 KB]REPORTNoneREPORT
4215942733glvnldocKiBG_Fragen_Vernehmlassung.pdf [42 KB]RESPONSE_FORMNoneVARIOUS_TEXT
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTSYNOPTIC_TABLE
4270243344luvnldocGesetzesentwurfSYNOPTIC_TABLEDRAFTSYNOPTIC_TABLE
4278043422luvnldocVernehmlassungsentwurfDRAFTDRAFTSYNOPTIC_TABLE
4287743520nwvnldoc05_NG 854.1_Gastgewerbegesetz_Vorlage an LRDRAFTNoneSYNOPTIC_TABLE
4289743540nwvnldoc01_RRB 183_Teilrevision Strafvollzugsgesetz, StVG. Antrag an LandratFINAL_REPORTVARIOUS_TEXTLETTER
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneSYNOPTIC_TABLE
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneFINAL_REPORT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneLETTER
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4302343666nwvnldocBericht zur Vernehmlassung [PDF]REPORTREPORTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneSYNOPTIC_TABLE
4316143804nwvnldoc02_Bericht RR an LR_PBGFINAL_REPORTREPORTSYNOPTIC_TABLE
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneSYNOPTIC_TABLE
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411344763szvnldocPlan LandschaftstypenVARIOUS_TEXTNoneVARIOUS_TEXT
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTSYNOPTIC_TABLE
4439045040szvnldocVollzugsverordnung zur VernehmlassungsvorlageDRAFTNoneSYNOPTIC_TABLE
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneSYNOPTIC_TABLE
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTSYNOPTIC_TABLE
4504445694tgvnldocerlaeuternder_bericht_schutz_der_gewaesserREPORTNoneSYNOPTIC_TABLE
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4512345773tgvnldocverordnung_gesundheitsberufe_17_8_2004DRAFTNoneSYNOPTIC_TABLE
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTSYNOPTIC_TABLE
4516745817tgvnldocenergienutzung_vergleichSYNOPTIC_TABLENoneSYNOPTIC_TABLE
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4554346426zgvnldocBeilage 2b: EBP Anpassung Verkehrssteuer für PW in ZugREPORTNoneREPORT
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTSYNOPTIC_TABLE
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionRESPONSE_FORMNoneSYNOPTIC_TABLE
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionSYNOPTIC_TABLENoneSYNOPTIC_TABLE
4667347560zhvnldoc20110915 Zürcher Psychiatrieplanung 2012 VersorgungsberichtREPORTNoneREPORT
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4681047697zhvnldocRRB 98 2013FINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4681547702zhvnldocBf FD Vernehmlassung Änderung PVO Fameg-Kibe 19.2.2013LETTERNoneSYNOPTIC_TABLE
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneSYNOPTIC_TABLE
4744048327zhvnldocErläuterungen zum VorentwurfREPORTREPORTREPORT
4754448431zhvnldocJI - Änderung JVV (Versetzung U-Haft) - Vorentwurf und erläuREPORTNoneSYNOPTIC_TABLE
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4766748554zhvnldocVernehmlassungsvorlage VVO, LPVO, MBVVO Änderung betr. Urlaub hinterbliebene Elternteile 28.07.23REPORTDRAFTSYNOPTIC_TABLE
4776048663zgvnldoc2) Teilrevidierter VerwaltungsgebührentarifDRAFTNoneSYNOPTIC_TABLE
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4898249959frvnldocListe des destinatairesRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneSYNOPTIC_TABLE
4963850643nwvnldoc08_NG 171.2_Gemeindefinanzhaushaltgesetz GemFHG_Vorlage an LRDRAFTNoneSYNOPTIC_TABLE
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneSYNOPTIC_TABLE
4979750802urvnldocRichtlinien RevisionDRAFTNoneSYNOPTIC_TABLE
4992450929urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
5000251007urvnldocPowerpoint MitwirkungsveranstaltungVARIOUS_TEXTNoneSYNOPTIC_TABLE
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5004651051urvnldocGesetzesentwurfDRAFTDRAFTSYNOPTIC_TABLE
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTSYNOPTIC_TABLE
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
5092352424zgvnldoc3) AntwortformularRESPONSE_FORMRESPONSE_FORMVARIOUS_TEXT
5141852971sgvnldocVernehmlassungsvorlageREPORTDRAFTSYNOPTIC_TABLE
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneREPORT
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 68, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -4017,7 +3696,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -4026,7 +3705,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -4035,17 +3714,17 @@ "ground_truth\n", "REPORT 31\n", "DRAFT 26\n", - "LETTER 18\n", - "SYNOPTIC_TABLE 17\n", "VARIOUS_TEXT 12\n", "RECIPIENT_LIST 9\n", "FINAL_REPORT 8\n", + "SYNOPTIC_TABLE 6\n", "RESPONSE_FORM 5\n", + "LETTER 2\n", "SURVEY 1\n", "Name: count, dtype: int64" ] }, - "execution_count": 70, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -4063,7 +3742,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -4072,20 +3751,20 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.59 0.77 0.67 26\n", + " DRAFT 0.33 0.04 0.07 26\n", " FINAL_REPORT 0.75 0.38 0.50 8\n", - " LETTER 0.94 0.83 0.88 18\n", + " LETTER 0.20 0.50 0.29 2\n", " OPINION 0.00 nan 0.00 0\n", "RECIPIENT_LIST 1.00 0.89 0.94 9\n", - " REPORT 0.73 0.77 0.75 31\n", + " REPORT 0.83 0.65 0.73 31\n", " RESPONSE_FORM nan 0.00 0.00 5\n", " SURVEY nan 0.00 0.00 1\n", - "SYNOPTIC_TABLE 0.80 0.24 0.36 17\n", - " VARIOUS_TEXT 0.24 0.42 0.30 12\n", + "SYNOPTIC_TABLE 0.12 1.00 0.21 6\n", + " VARIOUS_TEXT 0.20 0.08 0.12 12\n", "\n", - " accuracy 0.62 127\n", - " macro avg 0.63 0.48 0.44 127\n", - " weighted avg 0.71 0.62 0.62 127\n", + " accuracy 0.40 100\n", + " macro avg 0.43 0.39 0.29 100\n", + " weighted avg 0.56 0.40 0.40 100\n", "\n" ] } @@ -4102,17 +3781,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 72, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -4136,7 +3815,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -4147,17 +3826,16 @@ "\n", " DRAFT 0.77 0.77 0.77 13\n", " FINAL_REPORT 1.00 0.33 0.50 6\n", - " LETTER 1.00 1.00 1.00 16\n", "RECIPIENT_LIST 1.00 0.86 0.92 7\n", " REPORT 0.89 0.85 0.87 20\n", " RESPONSE_FORM 1.00 0.33 0.50 3\n", " SURVEY 0.00 nan 0.00 0\n", - "SYNOPTIC_TABLE 1.00 0.85 0.92 13\n", + "SYNOPTIC_TABLE nan 0.00 0.00 2\n", " VARIOUS_TEXT 0.25 0.75 0.38 4\n", "\n", - " accuracy 0.80 82\n", - " macro avg 0.77 0.72 0.65 82\n", - " weighted avg 0.90 0.80 0.83 82\n", + " accuracy 0.71 55\n", + " macro avg 0.70 0.56 0.49 55\n", + " weighted avg 0.85 0.71 0.73 55\n", "\n" ] } @@ -4169,17 +3847,17 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 76, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -4188,7 +3866,7 @@ "plotting.plot_confusion_matrix_heatmap(\n", " _df[\"ground_truth\"],\n", " _df[\"prediction_rule\"],\n", - " target_names=[t for t in target_names if t != \"OPINION\"], # TODO: find a cleaner way to do this\n", + " target_names=[t for t in target_names if t not in {\"OPINION\", \"LETTER\"}], # TODO: find a cleaner way to do this\n", " title=\"Rule-based model\",\n", " # normalize=\"true\",\n", ")" From 27f3b406ee96b191f855aeb567c43e1947d6cc61 Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Tue, 28 Jan 2025 11:33:38 +0100 Subject: [PATCH 10/12] Fix EmbeddingsCache tests --- research/lib/tests/test_embeddings_cache.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/research/lib/tests/test_embeddings_cache.py b/research/lib/tests/test_embeddings_cache.py index 0283781..778773b 100644 --- a/research/lib/tests/test_embeddings_cache.py +++ b/research/lib/tests/test_embeddings_cache.py @@ -9,7 +9,7 @@ @pytest.fixture def embeddings_cache(tmp_path, mocker): - c = EmbeddingsCache(tmp_path, "test_model") + c = EmbeddingsCache(tmp_path, "test_model", read_only=False) embedding_fn = mocker.Mock(return_value=np.array([0, 7])) c.get_embedding("already embedded", embedding_fn) return c @@ -29,7 +29,7 @@ def test_save_and_load(embeddings_cache, mocker, tmp_path): assert embedding_fn.call_count == 1 embeddings_cache.save() - another_cache = EmbeddingsCache(tmp_path, "test_model") + another_cache = EmbeddingsCache(tmp_path, "test_model", read_only=True) another_embedding_fn = mocker.stub() another_cache.get_embedding("test", another_embedding_fn) assert another_embedding_fn.call_count == 0 From b1bec51f009aa6bf90418bc86fc195e9da6121ea Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Tue, 28 Jan 2025 16:28:55 +0100 Subject: [PATCH 11/12] Do not allow the external test set (manual labels) to get smaller by moving some docs to the training set. Improve MLflow logging --- .../VM_document_type_classifier.ipynb | 3030 ++++++++++------- 1 file changed, 1715 insertions(+), 1315 deletions(-) diff --git a/research/document_types/VM_document_type_classifier.ipynb b/research/document_types/VM_document_type_classifier.ipynb index 0e4c7e5..dbaabd2 100644 --- a/research/document_types/VM_document_type_classifier.ipynb +++ b/research/document_types/VM_document_type_classifier.ipynb @@ -49,7 +49,7 @@ "CV_FOLDS = 5\n", "TEST_SIZE = 0.1\n", "RANDOM_STATE = 2718\n", - "USE_TEST_SET = False\n", + "USE_TEST_SET = True\n", "\n", "%env MLFLOW_TRACKING_URI=sqlite:///mlruns.db" ] @@ -122,7 +122,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Starting run: fun-deer-165\n" + "Starting run: abundant-robin-85\n" ] }, { @@ -163,7 +163,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025/01/27 15:36:10 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" + "2025/01/28 16:20:11 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" ] } ], @@ -208,13 +208,135 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Load Fedlex data (all of it is used for training)" + "## Load the external test set (manually labelled)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ground_truth
document_id
43657FINAL_REPORT
40411REPORT
43681DRAFT
46685RECIPIENT_LIST
40706RECIPIENT_LIST
......
45231LETTER
45040DRAFT
40646LETTER
39897RECIPIENT_LIST
48554REPORT
\n", + "

127 rows × 1 columns

\n", + "
" + ], + "text/plain": [ + " ground_truth\n", + "document_id \n", + "43657 FINAL_REPORT\n", + "40411 REPORT\n", + "43681 DRAFT\n", + "46685 RECIPIENT_LIST\n", + "40706 RECIPIENT_LIST\n", + "... ...\n", + "45231 LETTER\n", + "45040 DRAFT\n", + "40646 LETTER\n", + "39897 RECIPIENT_LIST\n", + "48554 REPORT\n", + "\n", + "[127 rows x 1 columns]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_test_external = pd.read_excel(REPOSITORY_ROOT / \"research\" / \"document_types\" / \"ground_truth.xlsx\")[\n", + " [\"document_id\", \"ground_truth\"]\n", + "].set_index(\"document_id\")\n", + "df_test_external[\"ground_truth\"] = merge_classes(df_test_external[\"ground_truth\"])\n", + "df_test_external = df_test_external.dropna()\n", + "df_test_external" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load Fedlex data (all of it is used for training)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, "outputs": [ { "name": "stderr", @@ -678,7 +800,7 @@ "[13156 rows x 19 columns]" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -703,7 +825,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -1168,7 +1290,7 @@ "[9851 rows x 19 columns]" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -1184,92 +1306,28 @@ "df_opd" ] }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "document_type\n", - "LETTER 3084\n", - "DRAFT 2898\n", - "REPORT 2153\n", - "RECIPIENT_LIST 1770\n", - "FINAL_REPORT 1747\n", - "OPINION 985\n", - "VARIOUS_TEXT 418\n", - "SYNOPTIC_TABLE 81\n", - "SURVEY 13\n", - "RESPONSE_FORM 7\n", - "DECISION 0\n", - "LINK 0\n", - "Name: count, dtype: int64" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_fedlex[\"document_type\"].value_counts()" - ] - }, { "cell_type": "code", "execution_count": 12, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "document_type\n", - "None 3215\n", - "LETTER 1553\n", - "REPORT 1268\n", - "DRAFT 1255\n", - "VARIOUS_TEXT 852\n", - "SYNOPTIC_TABLE 708\n", - "RECIPIENT_LIST 623\n", - "SURVEY 264\n", - "FINAL_REPORT 88\n", - "RESPONSE_FORM 25\n", - "Name: count, dtype: int64" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "document_title_rule_model.predict(df_opd).value_counts(dropna=False)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Adding 2261 OpenParlData documents to the training set:\n" + "Adding 2234 OpenParlData documents to the training set:\n" ] }, { "data": { "text/plain": [ "document_type\n", - "LETTER 1553\n", - "SYNOPTIC_TABLE 708\n", + "LETTER 1537\n", + "SYNOPTIC_TABLE 697\n", "Name: count, dtype: int64" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1278,8 +1336,13 @@ "# Generate rule-labels (predictions)\n", "df_opd[\"prediction_rule\"] = document_title_rule_model.predict(df_opd)\n", "\n", - "# Split OpenParlData: only pick certain rule-labels for training. The rest will be used for testing.\n", - "opd_train_index = df_opd[\"prediction_rule\"].isin(INCLUDE_RULE_LABELS_IN_TRAINING)\n", + "# Split OpenParlData: only pick certain rule-labels for training.\n", + "opd_train_index = (\n", + " # Only pick certain rule-labels for training...\n", + " df_opd[\"prediction_rule\"].isin(INCLUDE_RULE_LABELS_IN_TRAINING)\n", + " # ...but make sure we don't train on documents that are in the external test set.\n", + " & ~df_opd[\"document_id\"].isin(df_test_external.index)\n", + ")\n", "df_opd_train = df_opd.loc[opd_train_index].copy()\n", "df_opd_test = df_opd.loc[~opd_train_index].copy()\n", "del df_opd # Prevent mistakes; we should only explicitly access the train or the test set from now on.\n", @@ -1301,7 +1364,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -1310,27 +1373,27 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "document_type\n", - "LETTER 4637\n", + "LETTER 4621\n", "DRAFT 2898\n", "REPORT 2153\n", "RECIPIENT_LIST 1770\n", "FINAL_REPORT 1747\n", "OPINION 985\n", - "SYNOPTIC_TABLE 789\n", + "SYNOPTIC_TABLE 778\n", "VARIOUS_TEXT 418\n", "SURVEY 13\n", "RESPONSE_FORM 7\n", "Name: count, dtype: int64" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1348,27 +1411,27 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "document_type\n", - "LETTER 4637\n", + "LETTER 4621\n", "DRAFT 2898\n", "REPORT 2153\n", "RECIPIENT_LIST 1770\n", "FINAL_REPORT 1747\n", "OPINION 985\n", - "SYNOPTIC_TABLE 789\n", + "SYNOPTIC_TABLE 778\n", "VARIOUS_TEXT 418\n", "SURVEY 13\n", "RESPONSE_FORM 7\n", "Name: count, dtype: int64" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1387,7 +1450,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -1404,29 +1467,21 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Empty texts: 996 (6.5%)\n" + "Empty texts: 994 (6.5%)\n" ] } ], "source": [ "empty_index = df_input[\"document_content_plain\"].str.strip() == \"\"\n", "empty_count = len(df_input[empty_index])\n", - "print(f\"Empty texts: {empty_count} ({100 * empty_count / len(df_input):.1f}%)\")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ + "print(f\"Empty texts: {empty_count} ({100 * empty_count / len(df_input):.1f}%)\")\n", "df_input = df_input.loc[~empty_index]" ] }, @@ -1446,7 +1501,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -1461,15 +1516,15 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Train: (12978, 20)\n", - "Test: (1443, 20)\n" + "Train: (12956, 20)\n", + "Test: (1440, 20)\n" ] } ], @@ -1483,16 +1538,16 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "1443" + "1440" ] }, - "execution_count": 22, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1511,7 +1566,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -1538,15 +1593,15 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 12978/12978 [00:39<00:00, 326.57it/s]\n", - "100%|██████████| 1443/1443 [00:04<00:00, 322.67it/s]\n" + "100%|██████████| 12956/12956 [00:42<00:00, 305.15it/s]\n", + "100%|██████████| 1440/1440 [00:04<00:00, 305.53it/s]\n" ] } ], @@ -1567,35 +1622,35 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=12977, new=0): 100%|██████████| 12978/12978 [00:08<00:00, 1467.78it/s]\n" + "Embedding (cached=12955, new=0): 100%|██████████| 12956/12956 [00:09<00:00, 1415.65it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(12978, 3072)\n" + "(12956, 3072)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=1442, new=0): 100%|██████████| 1443/1443 [00:00<00:00, 1533.08it/s]" + "Embedding (cached=1439, new=0): 100%|██████████| 1440/1440 [00:01<00:00, 1386.45it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(1443, 3072)\n" + "(1440, 3072)\n" ] }, { @@ -1628,15 +1683,15 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Train (12978, 3072) (12978,)\n", - "Test (1443, 3072) (1443,)\n" + "Train (12956, 3072) (12956,)\n", + "Test (1440, 3072) (1440,)\n" ] } ], @@ -1652,7 +1707,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -2082,7 +2137,7 @@ " ('logisticregression', LogisticRegression(max_iter=1000))])" ] }, - "execution_count": 27, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2098,7 +2153,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -2108,7 +2163,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2124,15 +2179,15 @@ { "data": { "text/plain": [ - "{'fit_time': array([1.17150688, 1.17477131, 1.08553219, 1.32725191, 1.02516913]),\n", - " 'score_time': array([0.03406501, 0.02309465, 0.02185702, 0.02506423, 0.02315879]),\n", - " 'test_precision': array([0.95261642, 0.96104029, 0.95503514, 0.95568168, 0.9531562 ]),\n", - " 'test_recall': array([0.95454545, 0.96224961, 0.95647149, 0.95645472, 0.95414258]),\n", - " 'test_f1': array([0.95337084, 0.96132164, 0.95544595, 0.95591519, 0.95360199]),\n", + "{'fit_time': array([1.25370717, 1.16906071, 1.17563081, 1.31887174, 1.03693676]),\n", + " 'score_time': array([0.03982472, 0.0225811 , 0.02393913, 0.02168703, 0.02412701]),\n", + " 'test_precision': array([0.95762404, 0.95630257, 0.95051323, 0.95763451, 0.95372516]),\n", + " 'test_recall': array([0.95949074, 0.9571594 , 0.95329988, 0.95908915, 0.95522964]),\n", + " 'test_f1': array([0.95836511, 0.95666494, 0.95172924, 0.95821036, 0.95417301]),\n", " 'test_pca_explained_variance': array([nan, nan, nan, nan, nan])}" ] }, - "execution_count": 29, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2173,7 +2228,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2181,15 +2236,15 @@ "output_type": "stream", "text": [ "Per-document CV scores:\n", - "Precision: 0.9555 (+/- 0.0030)\n", - "Recall: 0.9568 (+/- 0.0029)\n", - "F1: 0.9559 (+/- 0.0029)\n" + "Precision: 0.9552 (+/- 0.0027)\n", + "Recall: 0.9569 (+/- 0.0023)\n", + "F1: 0.9558 (+/- 0.0025)\n" ] } ], "source": [ "avg_scores_docs = {k: np.round(np.mean(v), 4) for k, v in scores_docs.items()}\n", - "mlflow.log_metrics({f\"{k}_docs\": v for k, v in avg_scores_docs.items() if k.startswith(\"test_\")})\n", + "mlflow.log_metrics({k.replace(\"test_\", \"cv_\"): v for k, v in avg_scores_docs.items() if k.startswith(\"test_\")})\n", "\n", "print(\"Per-document CV scores:\")\n", "print(f\"Precision: {avg_scores_docs['test_precision']:.4f} (+/- {np.std(scores_docs['test_precision']):.4f})\")\n", @@ -2206,7 +2261,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -2226,15 +2281,15 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/27 15:38:51 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", - "2025/01/27 15:38:55 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + "2025/01/28 16:22:57 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/28 16:23:01 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" ] } ], @@ -2245,7 +2300,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -2254,26 +2309,26 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.93 0.94 0.93 259\n", - " FINAL_REPORT 0.99 0.98 0.99 157\n", - " LETTER 0.99 1.00 1.00 335\n", - " OPINION 0.98 1.00 0.99 87\n", - "RECIPIENT_LIST 0.99 1.00 1.00 158\n", - " REPORT 0.95 0.95 0.95 193\n", + " DRAFT 0.92 0.93 0.93 259\n", + " FINAL_REPORT 0.99 0.97 0.98 157\n", + " LETTER 0.99 0.99 0.99 334\n", + " OPINION 0.97 0.98 0.97 87\n", + "RECIPIENT_LIST 1.00 1.00 1.00 158\n", + " REPORT 0.93 0.95 0.94 193\n", " RESPONSE_FORM 1.00 1.00 1.00 1\n", " SURVEY 1.00 1.00 1.00 1\n", - "SYNOPTIC_TABLE 0.97 0.89 0.93 70\n", - " VARIOUS_TEXT 0.61 0.62 0.61 37\n", + "SYNOPTIC_TABLE 0.99 0.96 0.97 69\n", + " VARIOUS_TEXT 0.75 0.65 0.70 37\n", "\n", - " accuracy 0.96 1298\n", - " macro avg 0.94 0.94 0.94 1298\n", - " weighted avg 0.96 0.96 0.96 1298\n", + " accuracy 0.96 1296\n", + " macro avg 0.95 0.94 0.95 1296\n", + " weighted avg 0.96 0.96 0.96 1296\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -2307,9 +2362,43 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025/01/28 16:23:01 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/28 16:23:04 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "docs: ground truth (1440,)\n", + "docs: predictions (1440,)\n", + " precision recall f1-score support\n", + "\n", + " DRAFT 0.93 0.95 0.94 288\n", + " FINAL_REPORT 0.99 1.00 0.99 174\n", + " LETTER 1.00 1.00 1.00 371\n", + " OPINION 1.00 0.94 0.97 97\n", + "RECIPIENT_LIST 0.99 0.99 0.99 176\n", + " REPORT 0.94 0.94 0.94 214\n", + " RESPONSE_FORM nan 0.00 0.00 1\n", + " SURVEY 0.00 0.00 0.00 1\n", + "SYNOPTIC_TABLE 0.94 0.95 0.94 77\n", + " VARIOUS_TEXT 0.64 0.61 0.62 41\n", + "\n", + " accuracy 0.96 1440\n", + " macro avg 0.83 0.74 0.74 1440\n", + " weighted avg 0.96 0.96 0.96 1440\n", + "\n" + ] + } + ], "source": [ "if USE_TEST_SET:\n", " classifier.fit(X_train, y_train)\n", @@ -2325,15 +2414,35 @@ " test_predictions_docs,\n", " target_names=y_encoder.categories_[0],\n", " labels=range(len(y_encoder.categories_[0])),\n", + " zero_division=np.nan,\n", " )\n", - " )" + " )\n", + "\n", + " test_precision, test_recall, test_f1, _ = sklearn.metrics.precision_recall_fscore_support(\n", + " test_ground_truth_docs,\n", + " test_predictions_docs,\n", + " average=\"weighted\",\n", + " zero_division=np.nan,\n", + " )\n", + " mlflow.log_metrics({\"test_precision\": test_precision, \"test_recall\": test_recall, \"test_f1\": test_f1})" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 33, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "if USE_TEST_SET:\n", " display(\n", @@ -2361,22 +2470,22 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 7590/7590 [00:21<00:00, 351.37it/s]\n", - "Embedding (cached=7589, new=0): 100%|██████████| 7590/7590 [00:05<00:00, 1447.65it/s]" + "100%|██████████| 7617/7617 [00:21<00:00, 348.97it/s]\n", + "Embedding (cached=7616, new=0): 100%|██████████| 7617/7617 [00:05<00:00, 1396.30it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "(7590, 3072)\n" + "(7617, 3072)\n" ] }, { @@ -2402,7 +2511,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -2418,7 +2527,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -2434,14 +2543,14 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "100\n" + "127\n" ] } ], @@ -2450,14 +2559,7 @@ "# sample_batch = df_opd_test.sample(10)\n", "\n", "# Option B: Use the same sample batch for now: the one where we've manually added ground truth labels\n", - "ground_truth = pd.read_excel(REPOSITORY_ROOT / \"research\" / \"document_types\" / \"ground_truth.xlsx\")[\n", - " [\"document_id\", \"ground_truth\"]\n", - "].set_index(\"document_id\")\n", - "ground_truth[\"ground_truth\"] = merge_classes(ground_truth[\"ground_truth\"])\n", - "\n", - "ground_truth = ground_truth.dropna()\n", - "\n", - "sample_batch = df_opd_test[df_opd_test[\"document_id\"].isin(ground_truth.index)].copy()\n", + "sample_batch = df_opd_test[df_opd_test[\"document_id\"].isin(df_test_external.index)].copy()\n", "print(len(sample_batch))" ] }, @@ -2470,14 +2572,14 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/27 15:39:27 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" + "2025/01/28 16:23:35 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" ] } ], @@ -2497,7 +2599,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -2513,7 +2615,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -2531,1149 +2633,1446 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 document_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_mldocument_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_ml
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTSYNOPTIC_TABLE
3866038684agvnldocInformation (PDF, 8 Seiten, 450 KB)REPORTVARIOUS_TEXTLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneREPORT
3876638790agvnldocBeilage zum Anhörungsbericht (Synopse BauG) (PDF, 6 Seiten, 47 KB)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3893038954agvnldocAnhörungsbericht (PDF, 99 Seiten, 924 KB)REPORTREPORTSYNOPTIC_TABLE
3925339277agvnldocLink zum FragebogenSURVEYNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)RESPONSE_FORMSURVEYSYNOPTIC_TABLE
3935839382agvnldocFragebogen (nicht ausfüllbar) (PDF, 4 Seiten, 297 KB)RESPONSE_FORMSURVEYSYNOPTIC_TABLE
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTSYNOPTIC_TABLE
3962439760aivnldocErläuternder Bericht zum Entwurf für ein Gesetz über die Nutzung des Untergrundes (GNU)REPORTREPORTREPORT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTSYNOPTIC_TABLE
3976139897arvnldocListe der VernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3991740053arvnldocerläuternder BerichtREPORTREPORTREPORT
3993140067arvnldocGlossarVARIOUS_TEXTNoneSYNOPTIC_TABLE
4012240258arvnldocErläuternder BerichtREPORTREPORTREPORT
4017340310arvnldocKonzept Erneuerbare EnergieREPORTNoneREPORT
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)SYNOPTIC_TABLEVARIOUS_TEXTSYNOPTIC_TABLE
4041040548bevnldocVortrag: Vortrag-02.09.2020-de (PDF)REPORTREPORTREPORT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4050840646bevnldocBeilage: Beilage-Vernehmlassungseinladung-17.06.2020-de (PDF)LETTERNoneLETTER
4054640684bevnldocRRB: RRB-28.04.2021-de (PDF)DRAFTVARIOUS_TEXTSYNOPTIC_TABLE
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
4165141815bsvnldocLexWork-Änderung des UniversitätsvertragsDRAFTNoneSYNOPTIC_TABLE
4167241839bsvnldocGesetzesentwurfDRAFTDRAFTSYNOPTIC_TABLE
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneLETTER
4215742731glvnldocAntrag an den Landrat KiBG (Vn).pdf [266 KB]REPORTNoneREPORT
4215942733glvnldocKiBG_Fragen_Vernehmlassung.pdf [42 KB]RESPONSE_FORMNoneVARIOUS_TEXT
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTSYNOPTIC_TABLE
4270243344luvnldocGesetzesentwurfSYNOPTIC_TABLEDRAFTSYNOPTIC_TABLE
4278043422luvnldocVernehmlassungsentwurfDRAFTDRAFTSYNOPTIC_TABLE
4287743520nwvnldoc05_NG 854.1_Gastgewerbegesetz_Vorlage an LRDRAFTNoneSYNOPTIC_TABLE
4289743540nwvnldoc01_RRB 183_Teilrevision Strafvollzugsgesetz, StVG. Antrag an LandratFINAL_REPORTVARIOUS_TEXTLETTER
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneSYNOPTIC_TABLE
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneFINAL_REPORT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneLETTER
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4302343666nwvnldocBericht zur Vernehmlassung [PDF]REPORTREPORTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneSYNOPTIC_TABLE
4316143804nwvnldoc02_Bericht RR an LR_PBGFINAL_REPORTREPORTSYNOPTIC_TABLE
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneSYNOPTIC_TABLE
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411344763szvnldocPlan LandschaftstypenVARIOUS_TEXTNoneVARIOUS_TEXT
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTSYNOPTIC_TABLE
4439045040szvnldocVollzugsverordnung zur VernehmlassungsvorlageDRAFTNoneSYNOPTIC_TABLE
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneSYNOPTIC_TABLE
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTSYNOPTIC_TABLE
4504445694tgvnldocerlaeuternder_bericht_schutz_der_gewaesserREPORTNoneSYNOPTIC_TABLE
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4512345773tgvnldocverordnung_gesundheitsberufe_17_8_2004DRAFTNoneSYNOPTIC_TABLE
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTSYNOPTIC_TABLE
4516745817tgvnldocenergienutzung_vergleichSYNOPTIC_TABLENoneSYNOPTIC_TABLE
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4554346426zgvnldocBeilage 2b: EBP Anpassung Verkehrssteuer für PW in ZugREPORTNoneREPORT
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTSYNOPTIC_TABLE
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionRESPONSE_FORMNoneSYNOPTIC_TABLE
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionSYNOPTIC_TABLENoneSYNOPTIC_TABLE
4667347560zhvnldoc20110915 Zürcher Psychiatrieplanung 2012 VersorgungsberichtREPORTNoneREPORT
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4681047697zhvnldocRRB 98 2013FINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4681547702zhvnldocBf FD Vernehmlassung Änderung PVO Fameg-Kibe 19.2.2013LETTERNoneSYNOPTIC_TABLE
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneSYNOPTIC_TABLE
4744048327zhvnldocErläuterungen zum VorentwurfREPORTREPORTREPORT
4754448431zhvnldocJI - Änderung JVV (Versetzung U-Haft) - Vorentwurf und erläuREPORTNoneSYNOPTIC_TABLE
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4766748554zhvnldocVernehmlassungsvorlage VVO, LPVO, MBVVO Änderung betr. Urlaub hinterbliebene Elternteile 28.07.23REPORTDRAFTSYNOPTIC_TABLE
4776048663zgvnldoc2) Teilrevidierter VerwaltungsgebührentarifDRAFTNoneSYNOPTIC_TABLE
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4898249959frvnldocListe des destinatairesRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneSYNOPTIC_TABLE
4963850643nwvnldoc08_NG 171.2_Gemeindefinanzhaushaltgesetz GemFHG_Vorlage an LRDRAFTNoneSYNOPTIC_TABLE
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneSYNOPTIC_TABLE
4979750802urvnldocRichtlinien RevisionDRAFTNoneSYNOPTIC_TABLE
4992450929urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
5000251007urvnldocPowerpoint MitwirkungsveranstaltungVARIOUS_TEXTNoneSYNOPTIC_TABLE
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5004651051urvnldocGesetzesentwurfDRAFTDRAFTSYNOPTIC_TABLE
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTSYNOPTIC_TABLE
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
5092352424zgvnldoc3) AntwortformularRESPONSE_FORMRESPONSE_FORMVARIOUS_TEXT
5141852971sgvnldocVernehmlassungsvorlageREPORTDRAFTSYNOPTIC_TABLE
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneREPORT3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTSYNOPTIC_TABLE
3866038684agvnldocInformation (PDF, 8 Seiten, 450 KB)REPORTVARIOUS_TEXTLETTER
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneDRAFT
3876638790agvnldocBeilage zum Anhörungsbericht (Synopse BauG) (PDF, 6 Seiten, 47 KB)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3893038954agvnldocAnhörungsbericht (PDF, 99 Seiten, 924 KB)REPORTREPORTSYNOPTIC_TABLE
3907439098agvnldocBeilage 3 zum Anhörungsbericht (Synopse GGV) (PDF, 2 Seiten, 81 KB)SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenSURVEYNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)RESPONSE_FORMSURVEYSYNOPTIC_TABLE
3935839382agvnldocFragebogen (nicht ausfüllbar) (PDF, 4 Seiten, 297 KB)RESPONSE_FORMSURVEYSYNOPTIC_TABLE
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTSYNOPTIC_TABLE
3962439760aivnldocErläuternder Bericht zum Entwurf für ein Gesetz über die Nutzung des Untergrundes (GNU)REPORTREPORTREPORT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTSYNOPTIC_TABLE
3975239888arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3976139897arvnldocListe der VernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTSYNOPTIC_TABLE
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3977939915arvnldocBegleitschreiben VernehmlassungLETTERLETTERLETTER
3991740053arvnldocerläuternder BerichtREPORTREPORTREPORT
3992740063arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3993140067arvnldocGlossarVARIOUS_TEXTNoneSYNOPTIC_TABLE
4012240258arvnldocErläuternder BerichtREPORTREPORTREPORT
4017340310arvnldocKonzept Erneuerbare EnergieREPORTNoneOPINION
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)SYNOPTIC_TABLEVARIOUS_TEXTSYNOPTIC_TABLE
4041040548bevnldocVortrag: Vortrag-02.09.2020-de (PDF)REPORTREPORTREPORT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4050840646bevnldocBeilage: Beilage-Vernehmlassungseinladung-17.06.2020-de (PDF)LETTERNoneLETTER
4054640684bevnldocRRB: RRB-28.04.2021-de (PDF)DRAFTVARIOUS_TEXTSYNOPTIC_TABLE
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
4158741748bsvnldocVernehmlassungsschreiben mit AdressatenlisteLETTERLETTERLETTER
4165141815bsvnldocLexWork-Änderung des UniversitätsvertragsDRAFTNoneSYNOPTIC_TABLE
4167241839bsvnldocGesetzesentwurfDRAFTDRAFTSYNOPTIC_TABLE
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4214542719glvnldocVernehmlassungsschreiben [pdf, 82 KB]LETTERLETTERLETTER
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneSYNOPTIC_TABLE
4215742731glvnldocAntrag an den Landrat KiBG (Vn).pdf [266 KB]REPORTNoneREPORT
4215942733glvnldocKiBG_Fragen_Vernehmlassung.pdf [42 KB]RESPONSE_FORMNoneSYNOPTIC_TABLE
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTSYNOPTIC_TABLE
4263543277luvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4270243344luvnldocGesetzesentwurfSYNOPTIC_TABLEDRAFTSYNOPTIC_TABLE
4275043392luvnldocBegleitbriefLETTERLETTERVARIOUS_TEXT
4278043422luvnldocVernehmlassungsentwurfDRAFTDRAFTSYNOPTIC_TABLE
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4287743520nwvnldoc05_NG 854.1_Gastgewerbegesetz_Vorlage an LRDRAFTNoneSYNOPTIC_TABLE
4289743540nwvnldoc01_RRB 183_Teilrevision Strafvollzugsgesetz, StVG. Antrag an LandratFINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneSYNOPTIC_TABLE
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneFINAL_REPORT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneLETTER
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4302343666nwvnldocBericht zur Vernehmlassung [PDF]REPORTREPORTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneSYNOPTIC_TABLE
4316143804nwvnldoc02_Bericht RR an LR_PBGFINAL_REPORTREPORTSYNOPTIC_TABLE
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneSYNOPTIC_TABLE
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411344763szvnldocPlan LandschaftstypenVARIOUS_TEXTNoneVARIOUS_TEXT
4411944769szvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4427944929szvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTSYNOPTIC_TABLE
4430044950szvnldocEinladungsschreibenLETTERLETTERLETTER
4439045040szvnldocVollzugsverordnung zur VernehmlassungsvorlageDRAFTNoneSYNOPTIC_TABLE
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneSYNOPTIC_TABLE
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4458145231szvnldocEinladungsschreibenLETTERLETTERLETTER
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTSYNOPTIC_TABLE
4504445694tgvnldocerlaeuternder_bericht_schutz_der_gewaesserREPORTNoneSYNOPTIC_TABLE
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4512345773tgvnldocverordnung_gesundheitsberufe_17_8_2004DRAFTNoneSYNOPTIC_TABLE
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTSYNOPTIC_TABLE
4516745817tgvnldocenergienutzung_vergleichSYNOPTIC_TABLENoneSYNOPTIC_TABLE
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4554346426zgvnldocBeilage 2b: EBP Anpassung Verkehrssteuer für PW in ZugREPORTNoneREPORT
4554546428zgvnldocEinladungsschreiben an die Vernehmlassungsadressatinnen und -adressatenLETTERLETTERLETTER
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTSYNOPTIC_TABLE
4587646762zgvnldocSchreiben an die Vernehmlassungsadressatinnen und -?adressatenLETTERLETTERLETTER
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionRESPONSE_FORMNoneSYNOPTIC_TABLE
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionSYNOPTIC_TABLENoneOPINION
4667347560zhvnldoc20110915 Zürcher Psychiatrieplanung 2012 VersorgungsberichtREPORTNoneDRAFT
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4681047697zhvnldocRRB 98 2013FINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4681547702zhvnldocBf FD Vernehmlassung Änderung PVO Fameg-Kibe 19.2.2013LETTERNoneSYNOPTIC_TABLE
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4726048147zhvnldocBegleitschreiben Vernehmlassung Planen und Bauen im Uferbereich von SeenLETTERLETTERLETTER
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4744048327zhvnldocErläuterungen zum VorentwurfREPORTREPORTREPORT
4754448431zhvnldocJI - Änderung JVV (Versetzung U-Haft) - Vorentwurf und erläuREPORTNoneSYNOPTIC_TABLE
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4766748554zhvnldocVernehmlassungsvorlage VVO, LPVO, MBVVO Änderung betr. Urlaub hinterbliebene Elternteile 28.07.23REPORTDRAFTSYNOPTIC_TABLE
4776048663zgvnldoc2) Teilrevidierter VerwaltungsgebührentarifDRAFTNoneSYNOPTIC_TABLE
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4840649323glvnldocBegleitschreiben Vernehmlassung [pdf, 67 KB]LETTERLETTERLETTER
4898249959frvnldocListe des destinatairesRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneSYNOPTIC_TABLE
4963850643nwvnldoc08_NG 171.2_Gemeindefinanzhaushaltgesetz GemFHG_Vorlage an LRDRAFTNoneSYNOPTIC_TABLE
4971450719nwvnldoc04_Synopse kStG_ÜStGSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneSYNOPTIC_TABLE
4979750802urvnldocRichtlinien RevisionDRAFTNoneSYNOPTIC_TABLE
4992450929urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
5000251007urvnldocPowerpoint MitwirkungsveranstaltungVARIOUS_TEXTNoneSYNOPTIC_TABLE
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5004651051urvnldocGesetzesentwurfDRAFTDRAFTSYNOPTIC_TABLE
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTSYNOPTIC_TABLE
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
5092352424zgvnldoc3) AntwortformularRESPONSE_FORMRESPONSE_FORMVARIOUS_TEXT
5104452559aivnldocBegleitschreiben zur Revision des Gesetzes über den Fristenlauf (FriG)LETTERLETTERLETTER
5141852971sgvnldocVernehmlassungsvorlageREPORTDRAFTSYNOPTIC_TABLE
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneSYNOPTIC_TABLE
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 43, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "sample_batch_with_ground_truth = sample_batch.join(ground_truth, on=\"document_id\")\n", + "sample_batch_with_ground_truth = sample_batch.join(df_test_external, on=\"document_id\")\n", "\n", "sample_batch_with_ground_truth[\n", " [\n", @@ -3696,7 +4095,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -3705,7 +4104,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -3714,17 +4113,17 @@ "ground_truth\n", "REPORT 31\n", "DRAFT 26\n", + "LETTER 18\n", + "SYNOPTIC_TABLE 17\n", "VARIOUS_TEXT 12\n", "RECIPIENT_LIST 9\n", "FINAL_REPORT 8\n", - "SYNOPTIC_TABLE 6\n", "RESPONSE_FORM 5\n", - "LETTER 2\n", "SURVEY 1\n", "Name: count, dtype: int64" ] }, - "execution_count": 45, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -3742,7 +4141,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -3751,20 +4150,20 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.33 0.04 0.07 26\n", + " DRAFT 0.20 0.04 0.06 26\n", " FINAL_REPORT 0.75 0.38 0.50 8\n", - " LETTER 0.20 0.50 0.29 2\n", + " LETTER 0.88 0.83 0.86 18\n", " OPINION 0.00 nan 0.00 0\n", - "RECIPIENT_LIST 1.00 0.89 0.94 9\n", - " REPORT 0.83 0.65 0.73 31\n", + "RECIPIENT_LIST 1.00 0.78 0.88 9\n", + " REPORT 0.81 0.55 0.65 31\n", " RESPONSE_FORM nan 0.00 0.00 5\n", " SURVEY nan 0.00 0.00 1\n", - "SYNOPTIC_TABLE 0.12 1.00 0.21 6\n", - " VARIOUS_TEXT 0.20 0.08 0.12 12\n", + "SYNOPTIC_TABLE 0.25 0.94 0.40 17\n", + " VARIOUS_TEXT 0.17 0.08 0.11 12\n", "\n", - " accuracy 0.40 100\n", - " macro avg 0.43 0.39 0.29 100\n", - " weighted avg 0.56 0.40 0.40 100\n", + " accuracy 0.47 127\n", + " macro avg 0.51 0.40 0.35 127\n", + " weighted avg 0.56 0.47 0.45 127\n", "\n" ] } @@ -3781,17 +4180,17 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 45, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 47, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -3815,7 +4214,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -3826,16 +4225,17 @@ "\n", " DRAFT 0.77 0.77 0.77 13\n", " FINAL_REPORT 1.00 0.33 0.50 6\n", + " LETTER 1.00 1.00 1.00 16\n", "RECIPIENT_LIST 1.00 0.86 0.92 7\n", " REPORT 0.89 0.85 0.87 20\n", " RESPONSE_FORM 1.00 0.33 0.50 3\n", " SURVEY 0.00 nan 0.00 0\n", - "SYNOPTIC_TABLE nan 0.00 0.00 2\n", + "SYNOPTIC_TABLE 1.00 0.85 0.92 13\n", " VARIOUS_TEXT 0.25 0.75 0.38 4\n", "\n", - " accuracy 0.71 55\n", - " macro avg 0.70 0.56 0.49 55\n", - " weighted avg 0.85 0.71 0.73 55\n", + " accuracy 0.80 82\n", + " macro avg 0.77 0.72 0.65 82\n", + " weighted avg 0.90 0.80 0.83 82\n", "\n" ] } @@ -3847,17 +4247,17 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 51, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -3866,7 +4266,7 @@ "plotting.plot_confusion_matrix_heatmap(\n", " _df[\"ground_truth\"],\n", " _df[\"prediction_rule\"],\n", - " target_names=[t for t in target_names if t not in {\"OPINION\", \"LETTER\"}], # TODO: find a cleaner way to do this\n", + " target_names=[t for t in target_names if t not in {\"OPINION\"}], # TODO: find a cleaner way to do this\n", " title=\"Rule-based model\",\n", " # normalize=\"true\",\n", ")" @@ -3888,7 +4288,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ From ac19bba4fb91f271f831b392eac088ef7700b30b Mon Sep 17 00:00:00 2001 From: Vita Midori Date: Mon, 3 Feb 2025 10:52:32 +0100 Subject: [PATCH 12/12] Try adding a binary feature: does the document contain the word "synopse" in the first 1k characters? This improves both precision and recall for SYNOPTIC_TABLE by about 0.04. --- .../VM_document_type_classifier.ipynb | 3408 +++++++++-------- 1 file changed, 1812 insertions(+), 1596 deletions(-) diff --git a/research/document_types/VM_document_type_classifier.ipynb b/research/document_types/VM_document_type_classifier.ipynb index dbaabd2..4923338 100644 --- a/research/document_types/VM_document_type_classifier.ipynb +++ b/research/document_types/VM_document_type_classifier.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 178, "metadata": {}, "outputs": [ { @@ -56,9 +56,18 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 242, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", @@ -74,6 +83,8 @@ "import pandas as pd\n", "import sklearn.metrics\n", "import sklearn.model_selection\n", + "from sklearn.compose import ColumnTransformer\n", + "from sklearn.decomposition import PCA\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.pipeline import Pipeline, make_pipeline\n", "from sklearn.preprocessing import OrdinalEncoder, StandardScaler\n", @@ -85,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 180, "metadata": {}, "outputs": [], "source": [ @@ -95,7 +106,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 181, "metadata": {}, "outputs": [ { @@ -104,7 +115,7 @@ "True" ] }, - "execution_count": 4, + "execution_count": 181, "metadata": {}, "output_type": "execute_result" } @@ -115,14 +126,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 182, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Starting run: abundant-robin-85\n" + "Starting run: sneaky-kite-583\n" ] }, { @@ -131,7 +142,7 @@ "''" ] }, - "execution_count": 5, + "execution_count": 182, "metadata": {}, "output_type": "execute_result" } @@ -156,14 +167,14 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 183, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/28 16:20:11 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" + "2025/01/29 15:37:27 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.2, but the installed version is 1.6.0. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n" ] } ], @@ -181,7 +192,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 184, "metadata": {}, "outputs": [], "source": [ @@ -196,7 +207,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 185, "metadata": {}, "outputs": [], "source": [ @@ -213,7 +224,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 186, "metadata": {}, "outputs": [ { @@ -312,7 +323,7 @@ "[127 rows x 1 columns]" ] }, - "execution_count": 9, + "execution_count": 186, "metadata": {}, "output_type": "execute_result" } @@ -335,7 +346,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 187, "metadata": {}, "outputs": [ { @@ -800,7 +811,7 @@ "[13156 rows x 19 columns]" ] }, - "execution_count": 10, + "execution_count": 187, "metadata": {}, "output_type": "execute_result" } @@ -825,7 +836,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 188, "metadata": {}, "outputs": [ { @@ -1290,7 +1301,7 @@ "[9851 rows x 19 columns]" ] }, - "execution_count": 11, + "execution_count": 188, "metadata": {}, "output_type": "execute_result" } @@ -1308,7 +1319,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 189, "metadata": {}, "outputs": [ { @@ -1327,7 +1338,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 12, + "execution_count": 189, "metadata": {}, "output_type": "execute_result" } @@ -1364,7 +1375,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 190, "metadata": {}, "outputs": [], "source": [ @@ -1373,7 +1384,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 191, "metadata": {}, "outputs": [ { @@ -1393,7 +1404,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 14, + "execution_count": 191, "metadata": {}, "output_type": "execute_result" } @@ -1411,7 +1422,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 192, "metadata": {}, "outputs": [ { @@ -1431,7 +1442,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 15, + "execution_count": 192, "metadata": {}, "output_type": "execute_result" } @@ -1450,7 +1461,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 193, "metadata": {}, "outputs": [], "source": [ @@ -1467,7 +1478,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 194, "metadata": {}, "outputs": [ { @@ -1485,6 +1496,132 @@ "df_input = df_input.loc[~empty_index]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Additional features" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### contains_synopse_keyword: bool" + ] + }, + { + "cell_type": "code", + "execution_count": 258, + "metadata": {}, + "outputs": [], + "source": [ + "def add_features(df: pd.DataFrame) -> None:\n", + " df[\"contains_synopse_keyword\"] = (\n", + " df[\"document_content_plain\"].str.slice(0, 1000).str.contains(\"synopse\", case=False, regex=False)\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 259, + "metadata": {}, + "outputs": [], + "source": [ + "add_features(df_input)\n", + "add_features(df_opd_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 260, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "document_type contains_synopse_keyword\n", + "DRAFT False 99.965302\n", + " True 0.034698\n", + "FINAL_REPORT False 100.000000\n", + "LETTER False 99.514301\n", + " True 0.485699\n", + "OPINION False 100.000000\n", + "RECIPIENT_LIST False 100.000000\n", + "REPORT False 99.953293\n", + " True 0.046707\n", + "RESPONSE_FORM False 100.000000\n", + "SURVEY False 92.307692\n", + " True 7.692308\n", + "SYNOPTIC_TABLE True 73.834197\n", + " False 26.165803\n", + "VARIOUS_TEXT False 96.618357\n", + " True 3.381643\n", + "Name: proportion, dtype: float64" + ] + }, + "execution_count": 260, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_input.groupby(\"document_type\")[\"contains_synopse_keyword\"].value_counts(normalize=True) * 100" + ] + }, + { + "cell_type": "code", + "execution_count": 261, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/zq/k8fwbncx1vg2swbktbl1t4z00000gp/T/ipykernel_52692/2192545349.py:1: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " df_opd_test.groupby(\"document_type\")[\"contains_synopse_keyword\"].value_counts(normalize=True) * 100\n" + ] + }, + { + "data": { + "text/plain": [ + "document_type contains_synopse_keyword\n", + "DECISION False 0.0\n", + " True 0.0\n", + "DRAFT False 70.0\n", + " True 30.0\n", + "FINAL_REPORT False 0.0\n", + " True 0.0\n", + "LETTER False 100.0\n", + " True 0.0\n", + "LINK False 0.0\n", + " True 0.0\n", + "OPINION False 0.0\n", + " True 0.0\n", + "RECIPIENT_LIST False 100.0\n", + " True 0.0\n", + "REPORT False 100.0\n", + " True 0.0\n", + "RESPONSE_FORM False 0.0\n", + " True 0.0\n", + "SURVEY False 100.0\n", + " True 0.0\n", + "SYNOPTIC_TABLE True 100.0\n", + " False 0.0\n", + "VARIOUS_TEXT False 100.0\n", + " True 0.0\n", + "Name: proportion, dtype: float64" + ] + }, + "execution_count": 261, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_opd_test.groupby(\"document_type\")[\"contains_synopse_keyword\"].value_counts(normalize=True) * 100" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1501,7 +1638,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 195, "metadata": {}, "outputs": [], "source": [ @@ -1516,15 +1653,15 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 236, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Train: (12956, 20)\n", - "Test: (1440, 20)\n" + "Train: (12956, 21)\n", + "Test: (1440, 21)\n" ] } ], @@ -1538,7 +1675,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 197, "metadata": {}, "outputs": [ { @@ -1547,7 +1684,7 @@ "1440" ] }, - "execution_count": 20, + "execution_count": 197, "metadata": {}, "output_type": "execute_result" } @@ -1566,7 +1703,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 198, "metadata": {}, "outputs": [], "source": [ @@ -1593,15 +1730,15 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 199, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 12956/12956 [00:42<00:00, 305.15it/s]\n", - "100%|██████████| 1440/1440 [00:04<00:00, 305.53it/s]\n" + "100%|██████████| 12956/12956 [00:41<00:00, 310.89it/s]\n", + "100%|██████████| 1440/1440 [00:04<00:00, 306.17it/s]\n" ] } ], @@ -1622,14 +1759,14 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 200, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=12955, new=0): 100%|██████████| 12956/12956 [00:09<00:00, 1415.65it/s]\n" + "Embedding (cached=12955, new=0): 100%|██████████| 12956/12956 [00:09<00:00, 1330.47it/s]\n" ] }, { @@ -1643,7 +1780,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Embedding (cached=1439, new=0): 100%|██████████| 1440/1440 [00:01<00:00, 1386.45it/s]" + "Embedding (cached=1439, new=0): 100%|██████████| 1440/1440 [00:01<00:00, 1421.05it/s]" ] }, { @@ -1683,21 +1820,21 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 240, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Train (12956, 3072) (12956,)\n", - "Test (1440, 3072) (1440,)\n" + "Train (12956, 3073) (12956,)\n", + "Test (1440, 3073) (1440,)\n" ] } ], "source": [ - "X_train = embeddings_train\n", - "X_test = embeddings_test\n", + "X_train = np.column_stack((embeddings_train, df_input_train[\"contains_synopse_keyword\"]))\n", + "X_test = np.column_stack((embeddings_test, df_input_test[\"contains_synopse_keyword\"]))\n", "y_train = df_input_train[\"document_type_code\"]\n", "y_test = df_input_test[\"document_type_code\"]\n", "\n", @@ -1707,13 +1844,13 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 243, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
Pipeline(steps=[('standardscaler', StandardScaler()),\n",
-       "                ('logisticregression', LogisticRegression(max_iter=1000))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + "
Pipeline(steps=[('columntransformer',\n",
+       "                 ColumnTransformer(transformers=[('embeddings',\n",
+       "                                                  Pipeline(steps=[('standardscaler',\n",
+       "                                                                   StandardScaler()),\n",
+       "                                                                  ('pca',\n",
+       "                                                                   PCA(n_components=20,\n",
+       "                                                                       random_state=2718))]),\n",
+       "                                                  slice(0, -1, None)),\n",
+       "                                                 ('passthrough', 'passthrough',\n",
+       "                                                  [-1])])),\n",
+       "                ('logisticregression', LogisticRegression(max_iter=1000))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ - "Pipeline(steps=[('standardscaler', StandardScaler()),\n", + "Pipeline(steps=[('columntransformer',\n", + " ColumnTransformer(transformers=[('embeddings',\n", + " Pipeline(steps=[('standardscaler',\n", + " StandardScaler()),\n", + " ('pca',\n", + " PCA(n_components=20,\n", + " random_state=2718))]),\n", + " slice(0, -1, None)),\n", + " ('passthrough', 'passthrough',\n", + " [-1])])),\n", " ('logisticregression', LogisticRegression(max_iter=1000))])" ] }, - "execution_count": 25, + "execution_count": 243, "metadata": {}, "output_type": "execute_result" } ], "source": [ "classifier = make_pipeline(\n", - " StandardScaler(),\n", - " # PCA(n_components=200, random_state=RANDOM_STATE),\n", + " ColumnTransformer(\n", + " [\n", + " (\n", + " \"embeddings\",\n", + " make_pipeline(\n", + " StandardScaler(),\n", + " PCA(n_components=20, random_state=RANDOM_STATE),\n", + " ),\n", + " slice(0, -1),\n", + " ),\n", + " (\"passthrough\", \"passthrough\", [-1]),\n", + " ]\n", + " ),\n", " LogisticRegression(max_iter=1000),\n", ")\n", "classifier" @@ -2153,7 +2335,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 249, "metadata": {}, "outputs": [], "source": [ @@ -2163,31 +2345,53 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 250, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:465: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", + "\n", + "Increase the number of iterations (max_iter) or scale the data as shown in:\n", + " https://scikit-learn.org/stable/modules/preprocessing.html\n", + "Please also refer to the documentation for alternative solver options:\n", + " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", + " n_iter_i = _check_optimize_result(\n", "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", - "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", - " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:465: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", + "\n", + "Increase the number of iterations (max_iter) or scale the data as shown in:\n", + " https://scikit-learn.org/stable/modules/preprocessing.html\n", + "Please also refer to the documentation for alternative solver options:\n", + " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", + " n_iter_i = _check_optimize_result(\n", + "/Users/vita/Code/demokratis/demokratis-ml/.venv/lib/python3.12/site-packages/sklearn/linear_model/_logistic.py:465: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", + "\n", + "Increase the number of iterations (max_iter) or scale the data as shown in:\n", + " https://scikit-learn.org/stable/modules/preprocessing.html\n", + "Please also refer to the documentation for alternative solver options:\n", + " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", + " n_iter_i = _check_optimize_result(\n" ] }, { "data": { "text/plain": [ - "{'fit_time': array([1.25370717, 1.16906071, 1.17563081, 1.31887174, 1.03693676]),\n", - " 'score_time': array([0.03982472, 0.0225811 , 0.02393913, 0.02168703, 0.02412701]),\n", - " 'test_precision': array([0.95762404, 0.95630257, 0.95051323, 0.95763451, 0.95372516]),\n", - " 'test_recall': array([0.95949074, 0.9571594 , 0.95329988, 0.95908915, 0.95522964]),\n", - " 'test_f1': array([0.95836511, 0.95666494, 0.95172924, 0.95821036, 0.95417301]),\n", + "{'fit_time': array([1.60127783, 1.41218615, 1.57379985, 1.57186389, 1.56924701]),\n", + " 'score_time': array([0.04222107, 0.02589369, 0.02418208, 0.02469802, 0.02768493]),\n", + " 'test_precision': array([0.92669154, 0.92618871, 0.92387485, 0.92213006, 0.92118043]),\n", + " 'test_recall': array([0.93171296, 0.92975685, 0.93130066, 0.9293709 , 0.9301428 ]),\n", + " 'test_f1': array([0.92714996, 0.92410702, 0.92548268, 0.92389431, 0.92368707]),\n", " 'test_pca_explained_variance': array([nan, nan, nan, nan, nan])}" ] }, - "execution_count": 27, + "execution_count": 250, "metadata": {}, "output_type": "execute_result" } @@ -2228,7 +2432,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 251, "metadata": {}, "outputs": [ { @@ -2236,9 +2440,9 @@ "output_type": "stream", "text": [ "Per-document CV scores:\n", - "Precision: 0.9552 (+/- 0.0027)\n", - "Recall: 0.9569 (+/- 0.0023)\n", - "F1: 0.9558 (+/- 0.0025)\n" + "Precision: 0.9240 (+/- 0.0022)\n", + "Recall: 0.9305 (+/- 0.0009)\n", + "F1: 0.9249 (+/- 0.0013)\n" ] } ], @@ -2261,7 +2465,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 252, "metadata": {}, "outputs": [], "source": [ @@ -2281,15 +2485,15 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 253, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/28 16:22:57 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", - "2025/01/28 16:23:01 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + "2025/01/29 16:30:03 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/29 16:30:07 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" ] } ], @@ -2300,7 +2504,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 254, "metadata": {}, "outputs": [ { @@ -2309,26 +2513,26 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.92 0.93 0.93 259\n", - " FINAL_REPORT 0.99 0.97 0.98 157\n", - " LETTER 0.99 0.99 0.99 334\n", - " OPINION 0.97 0.98 0.97 87\n", + " DRAFT 0.89 0.93 0.91 259\n", + " FINAL_REPORT 0.96 0.97 0.97 157\n", + " LETTER 0.98 0.99 0.98 334\n", + " OPINION 0.94 0.89 0.91 87\n", "RECIPIENT_LIST 1.00 1.00 1.00 158\n", - " REPORT 0.93 0.95 0.94 193\n", + " REPORT 0.88 0.92 0.90 193\n", " RESPONSE_FORM 1.00 1.00 1.00 1\n", - " SURVEY 1.00 1.00 1.00 1\n", - "SYNOPTIC_TABLE 0.99 0.96 0.97 69\n", - " VARIOUS_TEXT 0.75 0.65 0.70 37\n", + " SURVEY 0.33 1.00 0.50 1\n", + "SYNOPTIC_TABLE 0.91 0.90 0.91 69\n", + " VARIOUS_TEXT 0.47 0.19 0.27 37\n", "\n", - " accuracy 0.96 1296\n", - " macro avg 0.95 0.94 0.95 1296\n", - " weighted avg 0.96 0.96 0.96 1296\n", + " accuracy 0.93 1296\n", + " macro avg 0.84 0.88 0.83 1296\n", + " weighted avg 0.92 0.93 0.93 1296\n", "\n" ] }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvUAAAJ5CAYAAAAuMM8uAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/GU6VOAAAACXBIWXMAAA9hAAAPYQGoP6dpAADOs0lEQVR4nOzdd1gU1xoG8HeXsvQuIoqKIkXEEmNBjRXFEiv2HrFE0Wsv2DvWkKixRQVj7DGWmNi7UTEasSB2jRpBBQQVkLr3D8PquLRF1mUm7+8+89zsmTMz37fD4tlvzgwypVKpBBERERERiZZc1wEQEREREdHH4aCeiIiIiEjkOKgnIiIiIhI5DuqJiIiIiESOg3oiIiIiIpHjoJ6IiIiISOQ4qCciIiIiEjkO6omIiIiIRI6DeiIiIiIikdPXdQBE7hMO6DqEQhE+21fXIRAVOanpmboOoVAY6rMGRoUnM1Op6xAKhYmhTGfHNq42VGv7Tr60TGv71ib+liIiIiIiEjlW6omIiIhIXGSsS3+I7wgRERERkcixUk9ERERE4iLT3Xz+ooqDeiIiIiISF06/UcN3hIiIiIhI5FipJyIiIiJx4fQbNazUExERERGJHCv1RERERCQunFOvhu8IEREREZHIsVJPREREROLCOfVqWKknIiIiIhI5VuqJiIiISFw4p14NB/VEREREJC6cfqOGX3OIiIiIiESOlXoiIiIiEhdOv1HDd0RE+vbtC5lMBplMBgMDAxQvXhxNmzbFunXrkJmZqepXtmxZVT8TExN4eXlhzZo12e5z8+bN0NPTQ0BAgNq648ePq/bz/jJ58mTBMbJb+vbtm++8lvWqCmc7k3z3b1nZATfm+WJZr6r53qagutd2wpHx9XF5lg+2DqkFr1KWqnWWxgaY3MYd+0bXQ/gsHyj0AH0tfKIuXvgTw4Z8DZ+G9VDF0w1Hjxwu/IN8Ils2bUSLpo1Ro5oXenTthKtXrug6JI1JIQdAfHn8dfFPjBw2GC186qNGFQ8cPyr8HBw9fBBDB/nDp35t1KjigZs3InUUqebEdi5yIvY8pPC7duXypajm5S5Y2rduoeuw6BPhoF5kmjdvjqioKDx48AD79u1Do0aNMHz4cHz55ZdIT09X9Zs5cyaioqJw7do19OzZEwMGDMC+ffvU9rd27VqMGzcOmzdvxps3b7I95s2bNxEVFaVaJkyYgD///FP1eseOHWr9vvvuu3znpK8nxxr/z2FsoJdn35LWRhjXyg1/3o/L9/5z0r66I34cWCPH9S0qO2DCl+74/vAddFh6FjejXmGNf3XYmBoCAOwtFLC3MMKC32+idfAfSMsE5DLAoJA/VcnJSXBzc0Pg5GmFu+NPbP++37FoQRAGDQnAlu074ebmjsGD/BEbG6vr0PJNCjkA4swjOTkZrm5uGBc4Jdv1b5KTUaXaZxg6YvQnjuzjiPFcZEcKeUjld215lwo4dOyUaln34yZdh6QdMpn2FpHioF5kFAoFHBwcULJkSXz22WeYOHEidu/ejX379iE0NFTVz9zcHA4ODihXrhzGjx8PGxsbHDp0SLCv+/fv48yZM5gwYQJcXV3xyy+/ZHtMe3t7ODg4qBYzMzMUK1ZM9drGxkatn6WlZbb7yk7g9qsoaW0Mz1IWufaTy4CFXSpj6aE7eByXrLbeQE+GcS1dcSKwAf6a2QRbh9RCzXLW+Y7jQ33rlcH284/xy8UnuPssEdN2Xceb1Az4fV4SAHD76Wv876dwHIt8jkdxychUAun/DuwLU70vGmDo8JFo4tO0cHf8iW1YH4IOHTujXXs/lHdxweRpM2BkZIRdv+zQdWj5JoUcAHHmUbdefQweOgKNmmT/OWjZui0GfB2AmrXqfOLIPo4Yz0V2pJCHVH7X6unpwc6umGqxti74v4MkLhzUS0Djxo1RpUqVbAflmZmZ2LFjB168eAFDQ0PBupCQELRq1QqWlpbo2bMn1q5d+6lCFjA3MgAAJCSl5dovoEl5xCamYseFf7JdP6VtRVQtbYVRmy+j7bdncODqU/zwVXWUsc3/1J4sBnoyeJa0wJk776pMSiVw9k4sqpaxynE78X6/16601FREXo9Abe93Ay65XI7atevgyuVLOows/6SQAyCdPKRAKudCKnlIxcOHf6Np4y/wZXMfTBw/BlFRT3QdknbI5NpbREq8kZOAu7s7Hjx4oHo9fvx4mJmZQaFQoGPHjrC2tkb//v1V6zMzMxEaGoqePXsCALp27YrTp0/j/v37avsuVaoUzMzMVEthX06d+KUbLj54gdtPX+fY57MyVvCrUQpTdkRku76EpRE6VHfEiI2XcfFBPB7FJWPdqQe4+CAeHf6trGvC2sQQ+npyxL5OEbTHvE6FnZlhDlu9nVOfodT4cJL3Iv4FMjIyYGtrK2i3tbVFTEyMjqLSjBRyAKSThxRI5VxIJQ8pqORVBTNnBeH7FWswcco0/PPPY/Tr0xOJiTn/+0rSwaffSIRSqYTsvXlgY8eORd++fREVFYWxY8diyJAhcHFxUa0/dOgQEhMT0bJlSwCAnZ2d6qbbWbNmCfZ96tQpmJubq15/zKW8lJQUpKS8GygbGRnBpbgZeqw8n+M2poZ6WNDFC1N2RCA+h2q+q4MZ9PXk2DemnqDdUF+O+KRUAG8H/ntH1VWt05fLoK8nx8UZTVRtq4/dw6rj6l9s8mKq0IOhHlRTcIiIiD61el/UV/23q5sbvLyqoKVvYxw8sB/tO3TUYWRaIOK579rCQb1EREZGwtnZWfXazs4OLi4ucHFxwfbt2+Hl5YXPP/8cFStWBPD2Btm4uDgYGxurtsnMzMSVK1cwY8YMyOXvLuI4OzvDysqqUOIMCgrCjBkzAABLly5F27Zt0XbUN0gq3zzHbZxsTVDKxgQr+lRTtcn//TBfm9MULRafholCH+kZmei49KxapTwp5e0NxM9epaD9krOq9qae9mhWqTjGbr2qasuaAvQiKRXpGZmwNVMI9mVnZoiY16mCNlNDPazpVx1KJZDGAX22rK2soaenp3aVJzY2FnZ2djqKSjNSyAGQTh5SIJVzIZU8pMjcwgKly5TFo4d/6zqUwifiaTLawndEAo4ePYqrV6/Cz88v2/VOTk7o0qULAgMDAbz9Rbt7925s2bIF4eHhquXSpUt48eIFDh48qLVYAwMDkZCQgJSUFAwZMgTW1tZ4XaZxrtvce56I1sF/oP2Ss6rlaOQzhN2LQ/slZxGd8AaRT15CX08OGzNDPIxNEixZg/CMTKWgPS4xFSnpmYK2hOS3g/q0DCUi/nkJbxcbVRwyGVDbxRbhf8er2kwVeljr/znSMpQc0OfCwNAQHhU9EXbu3ZeqzMxMhIWdReUq1XLZsuiQQg6AdPKQAqmcC6nkIUVJSYl4/OgR7IoV03Uo9AmwUi8yKSkpiI6ORkZGBp4+fYr9+/cjKCgIX375JXr37p3jdsOHD0elSpVw4cIFnD59Gra2tujcubNgyg4AtGzZEmvXrkXz5jlXzj+GQqGAQvGu+m1mZgZ7KzMAwKs36Uj5d+7KvM6V8CwhBd8cuI3U9Ey1+fav3rytvme1P4hJwp5LTzC/sxfm/3YT15+8go2pIbxdbHAz6hVO3NR8Xmfo6b8xr1MlXHv8ElceJaBPvTIwNtTDLxff3qibNaA3NtDD2A1X8Ouo+nnssWCSEhPx8OFD1et/Hj/GjchIWFpaooSjo1aOqQ29+nyFKRPHw9OzEip5VcZPG9YjOTkZ7dp30HVo+SaFHABx5pGUlIhH730OnvzzGDdvvP0cOJRwREJCPKKjohDz/BkA4O8Hb6fR2drZwc6u6A5oxHgusiOFPKTwu/abRfNRv0EjODo64tnzZ1j5/TLI9eRo3uJLXYdW+FipV8NBvcjs378fJUqUgL6+PqytrVGlShUsWbIEffr0EUyZ+VDFihXRrFkzTJ06FY8fP0b79u3VBvQA4Ofnh169en3Sm5tOT24E4O2jLXdefHuXvqOVMZQa3nA6cfs1DG5cDuNbucHewgjxSakIf5iA45HPCxTXvivRsDE1xLCmLihmrkDkk5cYsO4iYv+t/HuWtEDV0lYAgEPjhAP6lHSgsO6XjYi4hv5fvfvCtmhBEACgTdv2mDV3XiEdRfuat2iJF3FxWL5sCWJinsPN3QPLV62BrYguz0shB0CceURGRODr/n1Ur4MXzQcAtGrTDtNnBeHk8WOYOXWiav2k8W+fVz/g6wAMHDz00warATGei+xIIQ8p/K59+vQpAsePRkJ8PKytbVD1s+r4ceNW1aOnSdpkSqWmQyeiwuU+4YCuQygU4bN9dR0CUZGTKpE7xw218eei6T8rM1MaQy8TQ93drGrcaFbenQoo+Vj2f+SuqONvKSIiIiIikeP0GyIiIiISF86pV8N3hIiIiIhI5FipJyIiIiJx4R+fUsNBPRERERGJC6ffqOE7QkREREQkcqzUExEREZG4cPqNGlbqiYiIiIhEjpV6IiIiIhIXzqlXw3eEiIiIiEjkWKknIiIiInHhnHo1rNQTEREREYkcB/VEREREJC4yufYWDaxYsQKVK1eGhYUFLCws4O3tjX379qnWv3nzBgEBAbC1tYWZmRn8/Pzw9OlTwT4ePnyIVq1awcTEBPb29hg7dizS09M1fks4qCciIiIicZHJtLdooFSpUpg3bx4uXryICxcuoHHjxmjbti0iIiIAACNHjsSvv/6K7du348SJE3jy5Ak6dOig2j4jIwOtWrVCamoqzpw5g/Xr1yM0NBRTp07V/C1RKpVKjbciKkTuEw7oOoRCET7bV9chEBU5qemZug6hUBjqswZGhSczUxpDLxND3c1rN24RrLV9J+8b+VHb29jYYOHChejYsSOKFSuGTZs2oWPHjgCAGzduwMPDA2fPnkXt2rWxb98+fPnll3jy5AmKFy8OAFi5ciXGjx+P58+fw9DQMN/H5W8pIiIiIhKXIjL95n0ZGRnYsmULEhMT4e3tjYsXLyItLQ0+Pj6qPu7u7ihdujTOnj0LADh79iy8vLxUA3oA8PX1xcuXL1XV/vzi02+IiIiIiP6VkpKClJQUQZtCoYBCoci2/9WrV+Ht7Y03b97AzMwMO3fuRMWKFREeHg5DQ0NYWVkJ+hcvXhzR0dEAgOjoaMGAPmt91jpNsFJPREREROKixTn1QUFBsLS0FCxBQUE5huLm5obw8HCEhYVh8ODB6NOnD65fv/4J34y3WKknnZPKXPQ5h2/rOoSPNsmngq5DKBRSuFNIKo9g5lx0InVyuUQ+4BIVGBiIUaNGCdpyqtIDgKGhIVxcXAAA1atXx59//onvvvsOXbp0QWpqKuLj4wXV+qdPn8LBwQEA4ODggPPnzwv2l/V0nKw++cXftkREREQkLlqcU69QKFSPqMxachvUfygzMxMpKSmoXr06DAwMcOTIEdW6mzdv4uHDh/D29gYAeHt74+rVq3j27Jmqz6FDh2BhYYGKFStq9JawUk9EREREVACBgYFo0aIFSpcujVevXmHTpk04fvw4Dhw4AEtLS/j7+2PUqFGwsbGBhYUFhg0bBm9vb9SuXRsA0KxZM1SsWBG9evXCggULEB0djcmTJyMgIECjLxIAB/VEREREJDYf8ZSawvTs2TP07t0bUVFRsLS0ROXKlXHgwAE0bdoUABAcHAy5XA4/Pz+kpKTA19cXy5cvV22vp6eHvXv3YvDgwfD29oapqSn69OmDmTNnahwLn1NPOvdG8z+aViRxTn3RIYXfalKZU09E0mWkw9KwcevleXcqoORfh2ht39rESj0RERERiQsrH2o4qCciIiIicSki02+KEr4jREREREQix0o9EREREYkLp9+oYaWeiIiIiEjkWKknIiIiInHhnHo1fEeIiIiIiESOlXoiIiIiEhfOqVfDSj0RERERkcixUk9EREREoiJjpV4NB/VEREREJCoc1Kvj9BsiIiIiIpGT1KC+b9++kMlkasudO3fQt29ftGvXTq3vvHnzBPvYtWtXjt/+3N3doVAoEB0drbauYcOGGDFiRIHifj9WCwsL1KhRA7t37xb0CQ0NzTY3IyOjbPM3NDSEi4sLZs6cifT0dFWfjIwMBAcHw8vLC0ZGRrC2tkaLFi3wxx9/5Hg8uVyOEiVKoEuXLnj48CEePHiQbSzvL6GhoQV6LwrTxQt/YtiQr+HTsB6qeLrh6JHDWt3/P1fO5tr/2e0r2Db8S7Ul+eWLQo3rQ48unca+OV/j59HtcWBeAKIi/lSty8xIx+U9ITgwLwA7xvrBp2E9TAoch2fPnmolli2bNqJF08aoUc0LPbp2wtUrV7RyHG1Y+8MqdO/ihzo1q6FRfW+M+N8QPLh/T9dhFZiYzwWg/c/3pyT2c5FFCnlIIQdAOnnkSqbFRaQkNagHgObNmyMqKkqwODs7Z9vXyMgI8+fPx4sXeQ+qTp8+jeTkZHTs2BHr168v7LAREhKCqKgoXLhwAXXr1kXHjh1x9epVQR8LCwu13P7++29Bn6z8b9++jdGjR2P69OlYuHAhAECpVKJr166YOXMmhg8fjsjISBw/fhxOTk5o2LAhdu3ale3x/vnnH+zYsQM3b95Ep06d4OTkJIhh9OjR8PT0FLR16dKl0N8jTSUnJ8HNzQ2Bk6cVqf23mLQKrWdtUC1GZpYFjuHZ7SvYO6Nfjutj7kfi3I8L4Fy7KZqNXQJHr9r4Y+0cJDx5AABIT01B/KO7qOjbFU3HfIdvvluGB/fvY/jQwQWOKSf79/2ORQuCMGhIALZs3wk3N3cMHuSP2NjYQj+WNly8cB5duvXAj5u2YeXqEKSnpWPwQH8kJyXpOjSNif1cANr/fH8qUjgXgDTykEIOgHTyIM1JblCvUCjg4OAgWPT09LLt6+PjAwcHBwQFBeW537Vr16J79+7o1asX1q1bV9hhw8rKCg4ODnB1dcWsWbOQnp6OY8eOCfrIZDK13IoXLy7ok5V/mTJlMHjwYPj4+GDPnj0AgG3btuHnn3/Gjz/+iP79+8PZ2RlVqlTB6tWr0aZNG/Tv3x+JiYlqxytRogTq1KkDf39/nD9/HomJiYIYzMzMoK+vL2gzNjYu9PdIU/W+aIChw0eiiU/TIrV/hZkljC2sVYtM/u5jqMzMROShbfhthj92jOmAA/OH4lH46QLHePvEHji4V4d7Ez9YODjBq1UvWJUqj9un9gIADI1N0SBgNpyqfQGL4qVQuUpVBE6agusREYh68qTAx83OhvUh6NCxM9q190N5FxdMnjYDRkZG2PXLjkI9jrYsX7UWbdt1gItLBbi5u2PmnHmIinqC69cjdB2axsR+LgDtf74/FSmcC0AaeUghB0A6eeQlrxkDH7OIleQG9ZrQ09PD3LlzsXTpUjx+/DjHfq9evcL27dvRs2dPNG3aFAkJCTh16pRWYkpPT8fatWsBAIaGhh+9P2NjY6SmpgIANm3aBFdXV7Ru3Vqt3+jRoxEbG4tDhw5lu59nz55h586d0NPTy/FLEuXPwYX/w54pvXDi+8mIuXddsC7y8HY8+PMoqnceAt8Jy+HasB3CNizGsztXc9hb7mLv30Bxt6qCNgf3zxD74EaO27x+/RoymQzmFhYFOmZ20lJTEXk9ArW966ja5HI5ateugyuXLxXacT6l169fAQAsLQt+pUUXpHguxEoq50IKeUghB0A6eVDBSG5Qv3fvXpiZmamWTp065dq/ffv2qFq1KqZNy/kS7pYtW1ChQgV4enpCT08PXbt2VQ28C0u3bt1gZmYGhUKBkSNHomzZsujcubOgT0JCgiA3MzMztGjRItv9KZVKHD58GAcOHEDjxo0BALdu3YKHh0e2/bPab926pXY8U1NTFC9eHMeOHUNAQABMTU0LI+X/HCMLG1TvHIA6/SaiTr+JMLa2w7GlgXjx6A4AICM9DZGHtqFGt+Fw8KgOMzsHONfyQZnPG+HeH/sLdMw3r17AyNxKGIe5Fd68jM+2f0pKCr79ZhFatGwFMzOzAh0zOy/iXyAjIwO2traCdltbW8TExBTacT6VzMxMLJw3F1WrfQaXCq66DkcjUjsXYiaVcyGFPKSQAyCdPPKDlXp1knukZaNGjbBixQrV6/wMQOfPn4/GjRtjzJgx2a5ft24devbsqXrds2dPNGjQAEuXLoW5ufnHBw0gODgYPj4+uHfvHkaOHIklS5bAxsZG0Mfc3Bx//fWXoO3DaS5ZX2rS0tKQmZmJ7t27Y/r06ar1SqUy3zFlHS8tLQ379u3Dxo0bMWfOHM2Te09KSgpSUlIEbUo9BRQKxUftVwwsipeCRfFSqtd2zh5IjInGreO7UavXaLx+/gQZqSk4uXyKYLvMjHRYlSqnev3L2I6q/1YqM5GRniZoK/15Q3zeZajG8WVmpGPsqOFQKpWYNHWGxtv/lwTNnoE7d24j9MdNug6FiIgIgAQH9aampnBxcdFom/r168PX1xeBgYHo27evYN3169dx7tw5nD9/HuPHj1e1Z2RkYMuWLRgwYEBhhA0HBwe4uLjAxcUFISEhaNmyJa5fvw57e3tVH7lcnmduWV9qDA0N4ejoCH39d6fY1dUVkZGR2W6X1e7q+q7q+P7xPDw8cPfuXQwePBgbNmwocJ5BQUGYMUM4YJw0ZRomT51e4H2KmU0ZV8TcezsnOz3lDQCg3qBpMLYUVln09A1U/9103BLVf8f9fRNX9oSi4bB394UYGJmo/tvI3BpvXsUL9vXmVTyMLKwEbZkZ6TgbMg+mKS/wQ8j6Qq3SA4C1lTX09PTUbtSKjY2FnZ1doR5L24LmzMTJE8exbv1PKO7goOtwNCalcyF2UjkXUshDCjkA0skjP8RcUdcWyU2/Kah58+bh119/xdmzwscSrl27FvXr18fly5cRHh6uWkaNGlXoU3Cy1KxZE9WrVy9QVTzrS03p0qUFA3oA6Nq1K27fvo1ff/1VbbvFixfD1tYWTZvmfNPZhAkTsHXrVrWrBZoIDAxEQkKCYBk7PrDA+xO7+Mf3YGTx9oqMhYMT5PoGSHrxHObFHAWLiXUx1Tbvtxtb2kKmpydoe3+6ja2zO57eChcc8+nNS7At6656nTWgf/X8CVatDYWVlXWh52lgaAiPip4IO/fu85WZmYmwsLOoXKVaoR9PG5RKJYLmzMTRI4ewet16lCzlpOuQCkQK50IqpHIupJCHFHIApJNHfnD6jTrJVeoLysvLCz169MCSJe+qoGlpadiwYQNmzpyJSpUqCfr3798f33zzDSIiIuDp6QkAeP78OcLDwwX9SpQoofaEmvwYMWIE2rdvj3HjxqFkyZIA3g4qsntGvr29PeTyvL+fde3aFdu3b0efPn2wcOFCNGnSBC9fvsT333+PPXv2YPv27blOV3JyckL79u0xdepU7N27V+OcgLdP5/lwqs2b9Bw6f6SkxEQ8fPhQ9fqfx49xIzISlpaWKOHoWOj7fx37FC8e34OhiRlMbexx5ddQJCfEolbP0QCAW8d3w9S2OCwcSiMzLRX3zh3Es9tXUH/wTABvK+xujTsgfOcaQKmEXbmKSEtORMz9SBgYmaBszSYax1ihQRscWzIBN4/+ghKeNfDwr5N48eiOanpOZkY6zqwLwovHd/HFwKnIzMhAzPPnAN7eAGpQCDdrZ+nV5ytMmTgenp6VUMmrMn7asB7Jyclo175DoR1Dm+bOnoF9v+/Ft0uWw9TUFDExb98nMzNzwd+LEAOxnwtA+5/vT0UK5wKQRh5SyAGQTh6kOQ7q3zNz5kxs3bpV9XrPnj2IjY1F+/bt1fp6eHjAw8MDa9euxTfffAPg7dNlNm0SzrGdNWsWJk+erHEszZs3h7OzM+bMmYPly5cDAF6+fIkSJUqo9Y2KioJDPqYByGQybNu2Dd9++y2Cg4MxZMgQGBkZwdvbG8ePH0fdunXz3MfIkSPh7e2N8+fPo2bNmhrn9SlFRFxD/696q14vWvB2ikqbtu0xa+68nDYr8P4v71oDAChbswlq9hiJNy9fIOnFc9X6zIw0XN61FskJsdAzUMDSsSwaBMyGfYXKqj6VWvaEwtQCkYe2IzE2GgbGprAuVR4eTYU3TeeXnbMHavcei2u/b8DVvT/CrJgj6vpPgqVjWQBAcnwsnlwLAwAcXPA/HFzwbts1IT+iRs1aBTpudpq3aIkXcXFYvmwJYmKew83dA8tXrYGtSC4Jb9+6GQDQ/6tegvYZs4PQtp24/rEU+7kAtP/5/lSkcC4AaeQhhRwA6eSRJ/EW1LVGptTkzkkiLdBWpf5Tm3P4tq5D+GiTfCroOoRCIYXfaiK+AkxE/xFGOiwNW3Yv+P19eUnY1CvvTkUQK/VEREREJCpinvuuLbxRVsvmzp2r9mz5vJ4xT0RERESkCVbqtezrr79W+yNSWT58xjwRERER5Y2VenUc1GuZjY2N2h+RIiIiIiIqTBzUExEREZGosFKvjoN6IiIiIhIVDurV8UZZIiIiIiKRY6WeiIiIiMSFhXo1rNQTEREREYkcK/VEREREJCqcU6+OlXoiIiIiIpFjpZ6IiIiIRIWVenWs1BMRERERiRwr9UREREQkKqzUq+OgnoiIiIjEhWN6NZx+Q0REREQkcqzUExEREZGocPqNOlbqiYiIiIhEjpV6okIyyaeCrkP4aNY1huo6hELx4s9lug6BiIi0iJV6dazUExERERGJHCv1RERERCQqrNSrY6WeiIiIiEjkWKknIiIiIlFhpV4dB/VEREREJC4c06vh9BsiIiIiIpFjpZ6IiIiIRIXTb9SxUk9EREREJHKs1BMRERGRqLBSr46VeiIiIiIikWOlnoiIiIhEhZV6dazUExERERGJHCv1RERERCQuLNSr4aCeiIiIiESF02/UcfoNEREREZHIsVJPRERERKLCSr06VuqJiIiIiESOg/oiqG/fvmjXrl2268qWLQuZTKa2zJs3D9OnT892nSbL8ePHERoamu06IyMjQYxZ7QYGBnB2dsa4cePw5s2bT/Qu5c+WTRvRomlj1KjmhR5dO+HqlSu6DqlAtJWHngww1AMU/y7H149Gs7oVc+zftnEVnN44DlEnFyDmzGKc2zIB3VrVKJRYcjOoc33c+G0GXpwLxskfx+BzzzKqddYWJvhmfCdc3jkFcWe/wa3fZ0JfS7/ZLl74E8OGfA2fhvVQxdMNR48c1s6BPgEpfDakkAPAPIoSsecgpd9RefnY8U5uiyaCgoJQo0YNmJubw97eHu3atcPNmzcFfRo2bKh2jK+//lrQ5+HDh2jVqhVMTExgb2+PsWPHIj09XaNYOKgXoZkzZyIqKkqwDBs2DGPGjBG0lSpVStD377//Fqzv3LkzmjdvLmirU6cOAMDCwkLtGH///bcgjqxt7927h+DgYKxatQrTpk3TxVuSrf37fseiBUEYNCQAW7bvhJubOwYP8kdsbKyuQ9OINvNQAkjPBFIz3i7Hz9/C9uCB8CjnkG3/uIQkLFizHw37LEaNzkHYsPscVk/vCR9vjwLH0LN1LRz4YXiO6zs2+wzzR7fHnFX74N19Pq7c+gd7lgegmLUZAKBEMUuUKGaJwOCdqN5pLgZM+wlyGWCghd9uyclJcHNzQ+DkovNzXhBS+GxIIQeAeRQlUshBKr+jxOTEiRMICAjAuXPncOjQIaSlpaFZs2ZITEwU9BswYIBgTLVgwQLVuoyMDLRq1Qqpqak4c+YM1q9fj9DQUEydOlWjWDioFyFzc3M4ODgIFlNTU5iZmQna9PT0BH1Lly4tWG9sbAyFQiFoMzQ0BPD2G/CHxyhevLggjqxtnZyc0K5dO/j4+ODQoUO6eEuytWF9CDp07Ix27f1Q3sUFk6fNgJGREXb9skPXoWlEm3lkKt8uSrxdpn//K14npaBmZeds+5+6eBt7jl3BzftPcf9xDL7ffBxXbz9BnWrlVH0MDfQRNLI97h6YjZgzi3HyxzH4onqFAsf4v56NEfLLGWzYcw437kVj2JwtSH6Tij7tvAEA1+9GoduYNfj95DXcfxyDE3/eQnomINfCdMt6XzTA0OEj0cSnaeHv/BOSwmdDCjkAzKMokUIOUvkdlR9FpVK/f/9+9O3bF56enqhSpQpCQ0Px8OFDXLx4UdDPxMREMKaysLBQrTt48CCuX7+On376CVWrVkWLFi0wa9YsfP/990hNTc13LBzUU6G4du0azpw5o/pSoGtpqamIvB6B2t51VG1yuRy1a9fBlcuXdBiZZj51Hp18q8PU2BBhV+7nq3/Dmq5wLWuP0xfvqtqCJ3RCrcpl0XtCCGp0DsIvhy5hz/dDUL50MY3jMdDXQzUPJxwNe3cpU6lU4mjYzRy/eAB8fHFupPDZkEIOAPMoSqSQAxWelJQUvHz5UrCkpKTka9uEhAQAgI2NjaB948aNsLOzQ6VKlRAYGIikpCTVurNnz8LLy0tQPPX19cXLly8RERGR77g5qBeh8ePHw8zMTLCcOnWqUI+RkJCgdowWLVoI+uzduxdmZmYwMjKCl5cXnj17hrFjx+a634/5oGjiRfwLZGRkwNbWVtBua2uLmJiYQj+etnyKPGR4N6d+yaQu6DL6B9y4F51jfwszIzz/YzFenv8OO5cMxqj523E07AYAwMnBGr3b1EaPcevwx6W7uP84Bt9uOIIz4XfRu01tjWOzszaDvr4ensW9ErQ/i30JB1uLbLextTKFvhzIUGp8uP8EKXw2pJADwDyKEink8J8j094SFBQES0tLwRIUFJRnSJmZmRgxYgTq1q2LSpUqqdq7d++On376CceOHUNgYCA2bNiAnj17qtZHR0erzYbIeh0dnfO/xx/iIy1FaOzYsejbt6+grWTJkoV6DHNzc/z111+CNmNjY8HrRo0aYcWKFUhMTERwcDD09fXh5+eX636DgoIwY8YMQdukKdMweer0QombNKfE2/n0APDD9tP4YWYvNOv/XY4D+1eJKajVNQhmxgo0quWG+aM74P7jWJy6eBueLo7Q19fDlV3CeYAKA33Exb+dX+jkYI2/dkxWrdPXk8NAXw/P/1isaluw9gAWrjuocS7mpkbYuWQwMpVv7xUgIiJp0uYjLQMDAzFq1ChBm0KhyHO7gIAAXLt2DadPnxa0Dxw4UPXfXl5eKFGiBJo0aYK7d++ifPnyhRM0OKgXJTs7O7i4uGj1GHK5PM9jmJqaqvqsW7cOVapUwdq1a+Hv75/jNtl9UJR6eX9QNGVtZQ09PT21G5xiY2NhZ2dX6MfTlk+VR1ZRe+rSPajuWRoB3Rpi2Jwt2fdVKnHv0dvK1ZVb/8DN2QFj+zXDqYu3YWaiQHp6Bup0n4+MTOGoOjHp7RWZJ88TUKvru4pHu8ZV0a5JVfSdFKpqe5Hw9rJkzIvXSE/PgL2NuWBf9rYWiI59KWgzM1Fgz/dD8CrpDdI4oM+RFD4bUsgBYB5FiRRyoMKjUCjyNYh/39ChQ7F3716cPHkSpUqVyrVvrVq1AAB37txB+fLl4eDggPPnzwv6PH36FADg4JD9gyuyw+k3VCjkcjkmTpyIyZMnIzk5Ocd+CoUCFhYWgkXTD05+GBgawqOiJ8LOnVW1ZWZmIizsLCpXqVbox9MWXeQhl8mgMMz/9/33+4ffeAx9fT3Y25jj3qMYwfI09u0UmoyMTEH7s7hXSE5JE7S9ePl2UJ+WnoFLkY/QqJab6ngymQyNarri/Hvz/s1NjbB3xVCkpmWg44hVhfE2SJYUPhtSyAFgHkWJFHL4rykqN8oqlUoMHToUO3fuxNGjR+HsnPP9XlnCw8MBACVKlAAAeHt74+rVq3j27Jmqz6FDh2BhYYGKFXN+zPSHWKkvohISElQnPUvWXL9Xr16pzbEyMTER3En9sZRKZbbzuOzt7SGXZ/9dsFOnThg7diy+//57jBkzptBiKahefb7ClInj4elZCZW8KuOnDeuRnJyMdu076Do0jWgzD305kPFeVXvmsDao/3kFtB6yHACwZlYvPHmWgKlL9wAAxvRrhr8iHuLe4+dQGOqjeT1PdG9VE/8LelvVv/PwGTb/dh5rZvXChG92IvzGYxSzNkPDWm64dusf7D+d/xt+siz56Sh+mNkLF68/xIVrDzC0eyOYGCvw4+5zAP4d0C8PgLGRIb6atB4WpkZ57LHgkhIT8fDhQ9Xrfx4/xo3ISFhaWqKEo6PWjlvYpPDZkEIOAPMoSqSQg1R+R4lJQEAANm3ahN27d8Pc3Fw1drK0tISxsTHu3r2LTZs2oWXLlrC1tcWVK1cwcuRI1K9fH5UrVwYANGvWDBUrVkSvXr2wYMECREdHY/LkyQgICNCo8MlBfRF1/PhxVKsmrA5kTWuZOnWq2rNLBw0ahJUrVxba8V++fKn6Bvm+qKioHC8F6evrY+jQoViwYAEGDx4MU1PTQounIJq3aIkXcXFYvmwJYmKew83dA8tXrYGtyC6lajsPQ713/13dszRaD1n+3o2vNsjMfHfHqamRIb6b2Bkl7a2QnJKGWw+eot/k9fj54Lv7LwZO/wkT+jfHvFHt4Whvhdj4RJy/ch/7Tl4rUHw/H/wLdtZmmDq4FYrbmuPKzX/QNuB71c2zVd2dVE/Cuf7rdMG2KenvphYVhoiIa+j/VW/V60UL3k4jatO2PWbNnVeIR9IuKXw2pJADwDyKEinkIJXfUfmhxSn1GlmxYgWAt39g6n0hISHo27cvDA0NcfjwYXz77bdITEyEk5MT/Pz8MHnyu3vL9PT0sHfvXgwePBje3t4wNTVFnz59MHPmTI1ikSmVSj4jgnTqjWZ/MI20yLrGUF2HUChe/LlM1yEQEUmekQ5Lwy5j9mlt33cWtci7UxHESj0RERERiYo2n34jVrxRloiIiIhI5FipJyIiIiJRYaFeHQf1RERERCQqnH6jjtNviIiIiIhEjpV6IiIiIhIVFurVsVJPRERERCRyrNQTERERkajI5SzVf4iVeiIiIiIikWOlnoiIiIhEhXPq1bFST0REREQkcqzUExEREZGo8Dn16lipJyIiIiISOVbqiYiIiEhUWKhXx0E9EREREYkKp9+o4/QbIiIiIiKRY6WeiIiIiESFlXp1rNQTEREREYkcK/VEpPLiz2W6DqFQXLz/QtchfLTqzta6DoGIqMhioV4dK/VERERERCLHSj0RERERiQrn1KtjpZ6IiIiISORYqSciIiIiUWGhXh0H9UREREQkKpx+o47Tb4iIiIiIRI6VeiIiIiISFRbq1bFST0REREQkcqzUExEREZGocE69OlbqiYiIiIhEjpV6IiIiIhIVFurVsVJPRERERCRyrNQTERERkahwTr06DuqJiIiISFQ4plfH6TdERERERCLHSj0RERERiQqn36hjpV6HHj16hH79+sHR0RGGhoYoU6YMhg8fjtjYWFWfhg0bQiaTQSaTwcjICBUrVsTy5ctV60NDQ2FlZSV4LZPJ0Lx5c8Gx4uPjIZPJcPz4cVWbTCbDrl27BP327t2LBg0awNzcHCYmJqhRowZCQ0MFfR48eACZTAZ7e3u8evVKsK5q1aqYPn16gd4PbdiyaSNaNG2MGtW80KNrJ1y9ckXXIWns4oU/MWzI1/BpWA9VPN1w9MhhXYdUYGI6H5kZGfhlwyqM82+PQR0aYHx/P+zZvA5KpVLVZ23wTPT7srZg+WbqCN0FrQExnYvs8HNR9EghDynkAEgnD9IMB/U6cu/ePXz++ee4ffs2Nm/ejDt37mDlypU4cuQIvL29ERcXp+o7YMAAREVF4fr16+jcuTMCAgKwefPmHPetr6+Pw4cP49ixYxrFtHTpUrRt2xZ169ZFWFgYrly5gq5du+Lrr7/GmDFj1Pq/evUKixYt0ugYn9L+fb9j0YIgDBoSgC3bd8LNzR2DB/kLvjSJQXJyEtzc3BA4eZquQ/koYjsfv+/YgOP7fkGPr8dgzorN6NQ3APt++QmHf90m6Fepem0Eb/hNtQwaN1NHEeef2M5Fdvi5KFqkkIcUcgCkk0deZDLtLWLFQb2OBAQEwNDQEAcPHkSDBg1QunRptGjRAocPH8Y///yDSZMmqfqamJjAwcEB5cqVw/Tp01GhQgXs2bMnx32bmpqiX79+mDBhQr7jefToEUaPHo0RI0Zg7ty5qFixIlxcXDB69GgsXLgQixcvRlhYmGCbYcOG4ZtvvsGzZ880fwM+gQ3rQ9ChY2e0a++H8i4umDxtBoyMjLDrlx26Dk0j9b5ogKHDR6KJT1Ndh/JRxHY+7kReRdVa9VGlRl3YFXfE5/Uao1K1mrh/67qgn4GBISytbVWLqZmFjiLOP7Gdi+zwc1G0SCEPKeQASCcP0hwH9ToQFxeHAwcOYMiQITA2Nhasc3BwQI8ePbB161bBZf73GRsbIzU1NddjTJ8+HVevXsXPP/+cr5h+/vlnpKWlZVuRHzRoEMzMzNSuDnTr1g0uLi6YObPoVSbTUlMReT0Ctb3rqNrkcjlq166DK5cv6TCy/yYxng8XDy9EXv4T0f88BAA8vHcbt69fhld1b0G/G1f/wvAeLRA4qDN+/H4+Xr9M0EW4+SbGcyFVUjkXUshDCjkA0skjP7KmJmtjESsO6nXg9u3bUCqV8PDwyHa9h4cHXrx4gefPnwvaMzIy8NNPP+HKlSto3LhxrsdwdHTE8OHDMWnSJKSnp+cZ061bt2BpaYkSJUqorTM0NES5cuVw69YtQbtMJsO8efOwevVq3L17N89jfEov4l8gIyMDtra2gnZbW1vExMToKKr/LjGej5Yde6Nm/aaY9HUXDGhbFzOG90bTNl3h3ejd/SqVPvNG/1FTMXbOUnTqG4Cb1y4heNpIZGZk6DDy3InxXEiVVM6FFPKQQg6AdPKgguHTb3Qop0r8h5YvX441a9YgNTUVenp6GDlyJAYPHpznduPHj8eqVauwbt06dO7c+WPDzZavry/q1auHKVOmYNOmTXn2T0lJQUpKiqBNqaeAQqHQSnxEBfXnqSM4d/wABo6ZiZJlnPHw3m1s/iEYVrZ2qNukFQCgVoN3Uz9KlXVBKWcXTOjvhxtX/0LFqjV0FToRkeSJuKCuNazU64CLiwtkMhkiIyOzXR8ZGQlra2sUK1YMANCjRw+Eh4fj/v37SExMxDfffAO5PO9TZ2VlhcDAQMyYMQNJSUm59nV1dUVCQgKePHmiti41NRV3796Fq6trttvOmzcPW7duxaVLeV/aCwoKgqWlpWBZOD8oz+00ZW1lDT09PbUbg2JjY2FnZ1fox6PcifF8bAtZipYde6NWg6YoVdYFdRq3QLO2XfHb9h9z3MbeoSTMLKzwLOrxJ4xUM2I8F1IllXMhhTykkAMgnTzyg9Nv1HFQrwO2trZo2rQpli9fjuTkZMG66OhobNy4EV26dFH9YFlaWsLFxQUlS5bM12D+fcOGDYNcLsd3332Xaz8/Pz8YGBhg8eLFautWrlyJxMREdOvWLdtta9asiQ4dOuTrxtzAwEAkJCQIlrHjA/OXjAYMDA3hUdETYefOqtoyMzMRFnYWlatUK/TjUe7EeD5SU95ALhf+cpfL9aDMzMxxm7iYZ0h8lQBLG9sc++iaGM+FVEnlXEghDynkAEgnDyoYTr/RkWXLlqFOnTrw9fXF7Nmz4ezsjIiICIwdOxYlS5bEnDlzCuU4RkZGmDFjBgICAnLtV7p0aSxYsACjR4+GkZERevXqBQMDA+zevRsTJ07E6NGjUatWrRy3nzNnDjw9PaGvn/uPlEKhPtXmTd5T/gukV5+vMGXieHh6VkIlr8r4acN6JCcno137Dto5oJYkJSbi4cOHqtf/PH6MG5GRb++BcHTUYWSaEdv5qFqzHvZuDYVNMQeULO2Mv+/ewoFdm/FF0y8BAG+Sk7Bn81pUr9MIltY2eBb1D7aHLIN9iVKo9FltHUefO7Gdi+zwc1G0SCEPKeQASCePvIi5oq4tHNTrSIUKFXDhwgVMmzYNnTt3RlxcHBwcHNCuXTtMmzYNNjY2hXasPn36YPHixbh+/Xqu/UaMGIFy5cph0aJF+O6775CRkQFPT0+sWLECX331Va7burq6ol+/fli9enWhxf2xmrdoiRdxcVi+bAliYp7Dzd0Dy1etga3ILkFGRFxD/696q14vWvB2ulKbtu0xa+48XYWlMbGdj+6DRmPnT6vx0/KFeJnwAlY2dmjYoh3adPUH8PaJEo/u38EfR35HUuIrWNnYwbNaLbTvORAGBoY6jj53YjsX2eHnomiRQh5SyAGQTh6kOZkyv3drEmmJtir19N918f4LXYfw0ao7W+s6BCKiXBnpsDTcIPgPre37xMi6Wtu3NnFOPRERERGRyHH6DRERERGJCufUq2OlnoiIiIhI5FipJyIiIiJRYaFeHQf1RERERCQqnH6jjtNviIiIiIhEjpV6IiIiIhIVFurVsVJPRERERCRyrNQTERERkajIWapXw0o9EREREZHIsVJPRERERKLCQr06VuqJiIiIiESOg3oiIiIiEhWZTKa1RRNBQUGoUaMGzM3NYW9vj3bt2uHmzZuCPm/evEFAQABsbW1hZmYGPz8/PH36VNDn4cOHaNWqFUxMTGBvb4+xY8ciPT1do1g4qCciIiIiUZHLtLdo4sSJEwgICMC5c+dw6NAhpKWloVmzZkhMTFT1GTlyJH799Vds374dJ06cwJMnT9ChQwfV+oyMDLRq1Qqpqak4c+YM1q9fj9DQUEydOlWjWGRKpVKpWfhEheuNZl9EifJ08f4LXYfw0ao7W+s6BCKiXBnp8M7MFivCtLbvfYNrFXjb58+fw97eHidOnED9+vWRkJCAYsWKYdOmTejYsSMA4MaNG/Dw8MDZs2dRu3Zt7Nu3D19++SWePHmC4sWLAwBWrlyJ8ePH4/nz5zA0NMzXsVmpJyIiIiJRKSrTbz6UkJAAALCxsQEAXLx4EWlpafDx8VH1cXd3R+nSpXH27FkAwNmzZ+Hl5aUa0AOAr68vXr58iYiIiHwfm0+/ISIiIiL6V0pKClJSUgRtCoUCCoUi1+0yMzMxYsQI1K1bF5UqVQIAREdHw9DQEFZWVoK+xYsXR3R0tKrP+wP6rPVZ6/KLlXoiIiIiEhWZTHtLUFAQLC0tBUtQUFCeMQUEBODatWvYsmXLJ3gH1LFST0SSI4X56FMP3My7kwjM9HXTdQhERBoJDAzEqFGjBG15VemHDh2KvXv34uTJkyhVqpSq3cHBAampqYiPjxdU658+fQoHBwdVn/Pnzwv2l/V0nKw++cFKPRERERGJikyL/1MoFLCwsBAsOQ3qlUolhg4dip07d+Lo0aNwdnYWrK9evToMDAxw5MgRVdvNmzfx8OFDeHt7AwC8vb1x9epVPHv2TNXn0KFDsLCwQMWKFfP9nrBST0RERERUAAEBAdi0aRN2794Nc3Nz1Rx4S0tLGBsbw9LSEv7+/hg1ahRsbGxgYWGBYcOGwdvbG7Vr1wYANGvWDBUrVkSvXr2wYMECREdHY/LkyQgICMjzCsH7OKgnIiIiIlHR9Hny2rJixQoAQMOGDQXtISEh6Nu3LwAgODgYcrkcfn5+SElJga+vL5YvX67qq6enh71792Lw4MHw9vaGqakp+vTpg5kzZ2oUC59TTzrH59QTqeOceiIq6nT5nPq2P1zQ2r53D/hca/vWJs6pJyIiIiISOU6/ISIiIiJR+ci/ESVJrNQTEREREYkcK/VEREREJCpylurVsFJPRERERCRyrNQTERERkaiwUK+OlXoiIiIiIpFjpZ6IiIiIREXGUr0aDuqJiIiISFQ4plfH6TdERERERCLHSj0RERERiQofaamOlXoiIiIiIpET5aC+b9++kMlkkMlkMDAwgLOzM8aNG4c3b96o+mSt/3DZsmWLqo9SqcTq1atRq1YtmJmZwcrKCp9//jm+/fZbJCUlAQCmT5+OqlWrqraZPn26al/6+vooW7YsRo4cidevXwMAHjx4AJlMhvDwcMHr7JZz584BAEJDQyGTydC8eXNBnvHx8ZDJZDh+/LiqT27LgwcPcn3fPszlQw0bNsSIESNUr+/fv4/u3bvD0dERRkZGKFWqFNq2bYsbN24USjyfwpZNG9GiaWPUqOaFHl074eqVK7oOqUCYR9GhzRwuXvgTw4Z8DZ+G9bB7VBtEXT2X5zYZ6Wm4/vsGHJzlj1/HdsDBWf3xd9ihQospOzF3ruL44hH4dWwHHJ4zEA/PHxGsv3V4O04Ej8LewC5o+IU3Rgwbggf37xV6HFL4eQKYR1EihRwA6eSRG5kWF7ES5aAeAJo3b46oqCjcu3cPwcHBWLVqFaZNmyboExISgqioKMHSrl071fpevXphxIgRaNu2LY4dO4bw8HBMmTIFu3fvxsGDB3M8tqenJ6KiovDgwQPMnz8fq1evxujRo3ON9/Dhw2qxVK9eXbVeX18fhw8fxrFjx7LdvkuXLoJtvb29MWDAAEGbk5NTPt65/ElLS0PTpk2RkJCAX375BTdv3sTWrVvh5eWF+Pj4Tx5PQezf9zsWLQjCoCEB2LJ9J9zc3DF4kD9iY2N1GpemmEfRoe0ckpOT4ObmhsDJ0/Lu/K8L6+cj5tZlVO0yDE0CV+DzXmNgZl+ywDEkxT3F7lFtclyfGBuNc2tmws7FCw3HfIdy9dsgfNtSPLvxl6pP7N1rcK7bCvWHL8SqH0KQnp6Orwf4q4olhUEKP08A8yhKpJADIJ08SHOinVOvUCjg4OAAAHBycoKPjw8OHTqE+fPnq/pYWVmp+nxo27Zt2LhxI3bt2oW2bduq2suWLYs2bdrg5cuXOR5bX19ftd8uXbrgyJEj2LNnD1atWpXjNra2tjnGAgCmpqbo3LkzJkyYgLCwMLX1xsbGMDY2Vr02NDSEiYlJrvv8GBEREbh79y6OHDmCMmXKAADKlCmDunXrCmL6VPEUxIb1IejQsTPatfcDAEyeNgMnTx7Hrl92wH/AQB1Hl3/Mo+jQdg71vmiAel80yHf/p5EXEXM3Ak0nrYahqTkAwMSmuFq/v88dxJ3ju5AU9xQmNvYo90VrONdtWaAYH5zZDxOb4qjU1h8AYF7cCXH3I3H3xG7Yu38GAPAeNEPV383dDTPnzEOjL7wReT0C1T+vUaDjfkgKP08A8yhKpJADIJ088sJHWqoTbaX+fdeuXcOZM2dgaGiY7202btwINzc3wYA+i0wmg6WlZb73ZWxsjNTU1Hz3z8n06dNx9epV/Pzzzx+9r49VrFgxyOVy/Pzzz8jIyNB1OBpLS01F5PUI1Pauo2qTy+WoXbsOrly+pMPINMM8io6imEN0xHlYObng9rFfcGB6XxwO+hrX9qxDRmqKqs+ji8cRuX8TPFr2ROPx38OjZS9E7tuIh38eyWXPOXvx9w0Uq1BF0FbMvRri/r6Z4zavX70CAFho8Hs1N0XxXBQE8yg6pJADIJ08qGBEO6jfu3cvzMzMYGRkBC8vLzx79gxjx44V9OnWrRvMzMwEy8OHDwEAt2/fhpub20fHcfHiRWzatAmNGzfOtV+dOnXUYvmQo6Mjhg8fjkmTJiE9Pf2jY/sYJUuWxJIlSzB16lRYW1ujcePGmDVrFu7dK/x5sdrwIv4FMjIyYGtrK2i3tbVFTEyMjqLSHPMoOopiDkmx0Yi7fx2vov9Gza8mwqttfzy5fAaXd6xU9bm5fxMqtfkKjpXrwNTWAY6V66B8gzZ4cPZAgY755lU8FOZWgjYjMyukv0kSfJnIkpmZiQXz56Jqtc9QoYJrgY75oaJ4LgqCeRQdUsgBkE4e+SGXaW8RK9FOv2nUqBFWrFiBxMREBAcHQ19fH35+foI+wcHB8PHxEbQ5OjoCeHuTbEFdvXoVZmZmyMjIQGpqKlq1aoVly5blus3WrVvh4eGR577Hjx+PVatWYd26dejcuXOBYywMAQEB6N27N44fP45z585h+/btmDt3Lvbs2YOmTZsWaJ8pKSlISRH+w6/UU0ChUBRGyET/KW9/j8lQvcdoGBibAgAqpffDn+vno4rf11AqlUiMjUb41qUI3/b9u+0yM2BgZKJ6fXR+AJJePM9aCwDYO+Hd7x/bchXhPXB6gWKcO3sG7t6+jdANmwq0PRER5Y9oB/WmpqZwcXEBAKxbtw5VqlTB2rVr4e/vr+rj4OCg6vMhV1dX3Lhxo0DHdnNzw549e6Cvrw9HR8d8TftxcnLKMZb3WVlZITAwEDNmzMCXX35ZoPgKk7m5OVq3bo3WrVtj9uzZ8PX1xezZsws8qA8KCsKMGTMEbZOmTMPkqdMLIdp3rK2soaenp3ZjUGxsLOzs7Ar1WNrEPIqOopiDkYU1jC1tVAN64O0cdyiVSE6Ihb7R2/teqnQeCuvSwiq5TP7uQm3tAdOQmfH26uCbhDj8sXwiGo7+VrVez+Ddl24jcyukvIoX7OvN63joG5lAz1D45fzKjpVIuvsX1q3/CcUL8X6bonguCoJ5FB1SyAGQTh75wTn16kQ7/eZ9crkcEydOxOTJk5GcnJyvbbp3745bt25h9+7dauuUSiUSEhJy3NbQ0BAuLi4oW7asRvP482vYsGGQy+X47rvvCn3fH0Mmk8Hd3R2JiYkF3kdgYCASEhIEy9jxgYUY5VsGhobwqOiJsHNnVW2ZmZkICzuLylWqFfrxtIV5FB1FMQcbZw+8eRmH9JR3v/deP/8HkMlhbGkLI3NrGFnYICk2GmbFHAWLqe27QbaJjb2q3cSmGAAI+hpbvbuUb13GHc9vCx+P9/xmOGzKvJvOqFQqcWXHSkRdPYcf1q1HqVKF+ySsonguCoJ5FB1SyAGQTh75IZNpbxEr0VbqP9SpUyeMHTsW33//PcaMGQPg7XPeo6OjBf3Mzc1VT5rZuXMnunXrhsmTJ6NZs2YoVqwYrl69iuDgYAwbNkzw+MuPFRsbqxaLlZUVjIyM1PoaGRlhxowZCAgIKLTjZ0lOTlY9Qz+Lubk5ypcvL2gLDw/HtGnT0KtXL1SsWBGGhoY4ceIE1q1bh/Hjxxf4+AqF+lSbN1q6faBXn68wZeJ4eHpWQiWvyvhpw3okJyejXfsO2jmgljCPokPbOSQlJqru+wHePl4y4Z97MDAxh4l1MVzfux7JL+NQvftIAECpzxrg5qFtuLTlO7j5dkdq4ktE/BqKMjV9VFVz9+bdcXXnaugbmaK4+2fITE/Di8d3kJb0Gi4N22kcY9k6zXH/j98Q8WsIStdsipg7V/Dk8mnU7j9V1efKjpV4/NdJ1Oo3CaYmpoh5/nZqj5m5eba/8wpCCj9PAPMoSqSQAyCdPEhzkhnU6+vrY+jQoViwYAEGDx4MAPjqq6/U+gUFBWHChAmQyWTYtGkTVq9ejXXr1mHOnDnQ19dHhQoV0Lt3b/j6+hZqfB/O7QeAzZs3o2vXrtn279OnDxYvXozr168Xahy3bt1CtWrCb+tNmjTB4cOHBW2lSpVC2bJlMWPGDNUf0Mp6PXLkyEKNSVuat2iJF3FxWL5sCWJinsPN3QPLV62BrcguQTKPokPbOUREXEP/r3qrXl/bvRYA4FSjMT7rNgJvXr1AsmruO6CvMEadQTNxdecqnAweBQNTC5SsUhceLXqq+pSp3Qx6BgrcOf4Lrv8aAj1DI1iUKINy9XN+Fn1uTG0dULv/VFzbvQb3Tv4KIys7VO08TPU4SwB4cGYfAOCP5RPRZPm7bWfODkLbQhpYSOHnCWAeRYkUcgCkk0deOP1GnUz5MXeMEhUCbVXqicRs6oGcHxEpJjN9P/4pY0RUNBnpsDTce5P2/kruj90ra23f2iSZSj0RERER/TeI+dGT2iKJG2XprQ+fg//+curUKV2HR0RERERawkq9hHx4A+z7SpYs+ekCISIiItIizqlXx0G9hOTnOfhEREREJD0c1BMRERGRqLBOr65Ac+pPnTqFnj17wtvbG//88w8AYMOGDTh9+nShBkdERERE9CG5TKa1Raw0HtTv2LEDvr6+MDY2xqVLl5CSkgIASEhIwNy5cws9QCIiIiIiyp3Gg/rZs2dj5cqV+OGHH2BgYKBqr1u3Lv76669CDY6IiIiI6EMymfYWsdJ4UH/z5k3Ur19frd3S0hLx8fGFERMREREREWlA40G9g4MD7ty5o9Z++vRplCtXrlCCIiIiIiLKiUwm09oiVhoP6gcMGIDhw4cjLCwMMpkMT548wcaNGzFmzBgMHjxYGzESEREREVEuNH6k5YQJE5CZmYkmTZogKSkJ9evXh0KhwJgxYzBs2DBtxEhEREREpCLigrrWaDyol8lkmDRpEsaOHYs7d+7g9evXqFixIszMzLQRHxERERER5aHAf3zK0NAQFStWLMxYiIiIiIjyJObnyWuLxoP6Ro0a5XoTwdGjRz8qICIiIiKi3HBMr07jQX3VqlUFr9PS0hAeHo5r166hT58+hRUXERERERHlk8aD+uDg4Gzbp0+fjtevX390QEREREREuRHzoye1ReNHWuakZ8+eWLduXWHtjoiIiIiI8qnAN8p+6OzZszAyMiqs3dF/SFpGpq5DKBQGeoX2HZkIM33ddB1CofDfHK7rEArF2m5VdR0CEb2H/+Kq03hQ36FDB8FrpVKJqKgoXLhwAVOmTCm0wIiIiIiIKH80HtRbWloKXsvlcri5uWHmzJlo1qxZoQVGRERERJQdzqlXp9GgPiMjA1999RW8vLxgbW2trZiIiIiIiEgDGk1J0tPTQ7NmzRAfH6+lcIiIiIiIcieXaW8RK43vM6hUqRLu3bunjViIiIiIiPLEQb06jQf1s2fPxpgxY7B3715ERUXh5cuXgoWIiIiIiD6tfM+pnzlzJkaPHo2WLVsCANq0aSO4SUGpVEImkyEjI6PwoyQiIiIi+hdvlFWX70H9jBkz8PXXX+PYsWPajIeIiIiIiDSU70G9UqkEADRo0EBrwRARERER5UXMc9+1RaM59bzUQURERERU9Gj0nHpXV9c8B/ZxcXEfFRARERERUW5YZ1an0aB+xowZan9RloiIiIiIdEujQX3Xrl1hb2+vrViIiIiIiPIkZ6leTb4H9ZxPT0RERERFgcZ/aOk/IN/vSdbTb4iIiIiIqGjJd6U+MzNTm3EQEREREeULJ5Co49WLIqJv376QyWSQyWQwMDCAs7Mzxo0bhzdv3qj6ZK3/cNmyZQsA4Pjx44L24sWLw8/PD/fu3RMc68yZM2jZsiWsra1hZGQELy8vfPPNN2p/Dfj9fVlYWKBGjRrYvXs3AKBhw4Y5xiOTydCwYUPtvmF5yMjIwIpl36FNcx/UrVEVbVs2w5pVy0V7xWnLpo1o0bQxalTzQo+unXD1yhVdh1QgUshDCjkA2s1DBsBADij0gI29qqK6U94PWKjjbI25rdywrltlLPPzxABvJ5gZ6hVaTNnxKG6G2S1dEdq9Mha39UD9cjaC9W0q2WNmC1es6eoFhd7bnLQxjuDPVNEh9hwuXvgTw4Z8DZ+G9VDF0w1HjxzWdUj0CXFQX4Q0b94cUVFRuHfvHoKDg7Fq1SpMmzZN0CckJARRUVGCpV27doI+N2/exJMnT7B9+3ZERESgdevWqgH7zp070aBBA5QqVQrHjh3DjRs3MHz4cMyePRtdu3ZVG/RmHe/ChQuoW7cuOnbsiKtXr+KXX35RHf/8+fMAgMOHD6vafvnlF+29Ufmwft0a/LxtC8ZNnIztu37DsBGj8WPIWmzd9JNO4yqI/ft+x6IFQRg0JABbtu+Em5s7Bg/yR2xsrK5D04gU8pBCDoD285DJACWAtHxe4HUtZorBdUrjxN1YjP/1BpacfIDydibo7+1U4BjsTA2xsVfVHNcXMzPEmMbOiHz6GhP33sT+G8/R39sJXiXMVX3c7c1w+GYMpu27jdR/ax6F/T2DP1NFhxRySE5OgpubGwInT8u7s8jJZTKtLZo4efIkWrduDUdHR8hkMuzatUuw/v2ibdbSvHlzQZ+4uDj06NEDFhYWsLKygr+/P16/fq35e6LxFqQ1CoUCDg4OcHJyQrt27eDj44NDhw4J+lhZWcHBwUGwGBkZCfrY29ujRIkSqF+/PqZOnYrr16/jzp07SExMxIABA9CmTRusXr0aVatWRdmyZdG/f3+sX78eP//8M7Zt25bt8VxdXTFr1iykp6fj2LFjsLGxUR2/WLFiAABbW1tVm42NsOL1qV25fAkNGjVGvfoN4ViyJHya+aKWd11EXLuq07gKYsP6EHTo2Bnt2vuhvIsLJk+bASMjI+z6ZYeuQ9OIFPKQQg6A9vPIVALpmW//Pz9cipngeWIqDtyIwfPXqbj1PBFHb8WivK2JoF9DFxssaOOOkO6VsbCNO3xcbQscY5MKtnj+OhUbLz7Bk5cpOHQzBucfxqOFRzFVnwVH7+HkvTj8k/BG9SVFJivcaj1/pooOKeRQ74sGGDp8JJr4NNV1KP8ZiYmJqFKlCr7//vsc+2QVbbOWzZs3C9b36NEDEREROHToEPbu3YuTJ09i4MCBGsfCQX0Rde3aNZw5cwaGhoYftR9jY2MAQGpqKg4ePIjY2FiMGTNGrV/r1q3h6uqq9oOWJT09HWvXrgWAj47pU6hcpRr+DDuHvx/cBwDcunkDly/9hTr1vtBxZJpJS01F5PUI1Pauo2qTy+WoXbsOrly+pMPINCOFPKSQA1A087jzPAm2Jgao4vi2Sm5hpI+aZawQ/uSlqk8dZ2t0rFIC2y5FYdyeG9h6KQodq5bAF+WsC3TMCsVMcS1KWAm78uQVKhQzzXGbwp56UxTPRUFIIQ8p5PBfI5Npb9FEixYtMHv2bLRv3z7HPllF26zF2vrd763IyEjs378fa9asQa1atVCvXj0sXboUW7ZswZMnTzSKRaPn1JN27d27F2ZmZkhPT0dKSgrkcjmWLVsm6NOtWzfo6Qmv/16/fh2lS5dW219UVBQWLVqEkiVLws3NDb///jsAwMPDI9vju7u749atW9keLzk5GZmZmShbtiw6d+78MWl+En39ByAx8TU6tm0FuZ4eMjMyMGTYCLRo1VrXoWnkRfwLZGRkwNZWWJG0tbXF/fv3ctiq6JFCHlLIASiaedx6nojvT/+NYfXLwkBPDn25DBcfJSA07LGqj19lB2y8+A8uPEoAADx/nYpSVkZoXMEOp+690PiYlsb6ePkmTdCWkJwGE0M9GOjJkJahfplBX/726kNh3ZlTFM9FQUghDynkQIUnJSUFKSkpgjaFQgGFQlGg/R0/fhz29vawtrZG48aNMXv2bNXP2tmzZ2FlZYXPP/9c1d/HxwdyuRxhYWG5fln4EAf1RUijRo2wYsUKJCYmIjg4GPr6+vDz8xP0CQ4Oho+Pj6DN0dFR8LpUqVJQKpVISkpClSpVsGPHDkF1XZObRbOOd+/ePYwcORJLliz5qKk12X1QUmFQ4A9KTg4d2If9v+3F7HkLUb58Bdy8GYlvFgShWDF7fNm2XaEei4g+TklLBXrXKIWdV6Jx5ckrWBkboHt1R/Sr7YQfzj6CQl8OBwsFBniXRv/a7+bZy+UyJKe+u8F/fms32Jn++7vu32rb2q5eqvU3nyViwdGCDdD05YBcBqRk5N2XiLRPrsWn3wQFBWHGjBmCtmnTpmH69Oka76t58+bo0KEDnJ2dcffuXUycOBEtWrTA2bNnoaenh+joaLU/7Kqvrw8bGxtER0drdCwO6osQU1NTuLi4AADWrVuHKlWqYO3atfD391f1cXBwUPXJyalTp2BhYQF7e3uYm7+76cvV1RXA20s9derUUdsuMjISFStWFLRlHc/FxQUhISFo2bIlrl+/XuC/LJzdB2XCpKmYOKVwb+pZ8s0i9PHvD98WrQAALq6uiIp6gpC1q0U1qLe2soaenp7ajVqxsbGws7PTUVSak0IeUsgBKJp5tKlUHLeeJ+K3688BAI/i3yAk7DGmNa+A7eFRqrn5a849wt2YRMG278/bX3j0HvT+/Zfe2tgAU3wrYOJvN1XrU9PfdU5IToeFkYFgX5bGBkhKzVCr0vepURJ6MiC1kAf0RfFcFIQU8pBCDv812vyLsuMDAzFq1ChBW0GLj127dlX9t5eXFypXrozy5cvj+PHjaNKkyUfF+SHOqS+i5HI5Jk6ciMmTJyM5OVmjbZ2dnVG+fHnBgB4AmjVrBhsbGyxevFhtmz179uD27dvo1q1bjvutWbMmqlevjjlz5mgUz/sCAwORkJAgWEaPm1Dg/eXkzZtkyGXCH289uR6USnH9vQUDQ0N4VPRE2LmzqrbMzEyEhZ1F5SrVdBiZZqSQhxRyAIpmHoZ6crUriJnvvX75Jh1xSamwNzPE01epguX561RVv5jENFV7TOLbqTXv932R/G66ze3niajkYCY4plcJc9x+LvzS0KdGSXxe2hKpGYU37SZLUTwXBSGFPKSQAxUehUIBCwsLwVJYMwrKlSsHOzs73LlzB8Db4umzZ88EfdLT0xEXFwcHBweN9s1BfRHWqVMn6OnpCe6ojo+PR3R0tGBJTEzMZS/vmJqaYtWqVdi9ezcGDhyIK1eu4MGDB1i7di369u2Ljh075jlffsSIEVi1ahX++eefAuWkzQ/K+75o0AjrfliF0yeP48k//+DYkUPYuCEUDRv75L1xEdOrz1f45edt2LNrJ+7dvYvZM6cjOTkZ7dp30HVoGpFCHlLIAfg0ecjw7sbSYmaGKGNtDFuTt5XxLtVK4Os67+4DuvT4JT4vbYUmrrYoZmYI12Km6F2jFO7EJCI+OR0AsONyNNpUKg5fdzs4mCvgZGWE+uVtBE+r0cSR27EoZm6Ibp+VQAkLBXxcbVGrjBX2RT5X9elbsxTqlrPB96f+LvQBfRb+TBUdUsghKTERNyIjcSMyEgDwz+PHuBEZiSgNb7gUg6Jyo6ymHj9+jNjYWJQoUQIA4O3tjfj4eFy8eFHV5+jRo8jMzEStWrU02jen3xRh+vr6GDp0KBYsWIDBgwcDAL766iu1fkFBQZgwIX/V7o4dO+LYsWOYM2cOvvjiC7x58wYVKlTApEmTMGLECMjy+Glu3rw5nJ2dMWfOHCxfvlzzpD6RsYGTsXLZd5g3ZyZexMXBrpg9OnTsjAFfD9F1aBpr3qIlXsTFYfmyJYiJeQ43dw8sX7UGtiK7JCyFPKSQA6D9POQy4fPce31eEgBw8m4cVp15CCtjA9iavrvP5+S9OBgZyNHMzQ49qpdEUmoGIqJfYctfUao+x+/EITU9E6087dHtM0ekpGfiUfwb7H9vEK6J569TsejoffT83BG+7sUQl5SGNWcf4WrUK1Wfpm5v348pvhUE26ZlANncR1sg/JkqOqSQQ0TENfT/qrfq9aIFQQCANm3bY9bceboKS9Jev36tqroDwP379xEeHg4bGxvY2NhgxowZ8PPzg4ODA+7evYtx48bBxcUFvr6+AN4+vKR58+YYMGAAVq5cibS0NAwdOhRdu3ZVu2cyLzKlWP/EJknGqxRxTYnJiYEeL3wRfch/c7iuQygUa7tV1XUIREWOkQ5Lw3OO3Mm7UwFNapL7vYvvO378OBo1aqTW3qdPH6xYsQLt2rXDpUuXEB8fD0dHRzRr1gyzZs1C8eLFVX3j4uIwdOhQ/Prrr5DL5fDz88OSJUtgZmamtt/csFJPRERERFQADRs2zPWpggcOHMhzHzY2Nti0adNHx8JBPRERERGJiqzQ/xyc+HG+ABERERGRyLFST0RERESios0/PiVWHNQTERERkahwUK+O02+IiIiIiESOlXoiIiIiEpW8/q7OfxEr9UREREREIsdKPRERERGJCufUq2OlnoiIiIhI5FipJyIiIiJR4ZR6dazUExERERGJHCv1RERERCQqcpbq1XBQT0RERESiwhtl1XH6DRERERGRyLFST0RERESiwtk36lipJyIiIiISOVbqiYiIiEhU5GCp/kMc1JPOGejxghGRVK3tVlXXIRAR/SdwUE9EREREosI59epYIiUiIiIiEjlW6omIiIhIVPicenWs1BMRERERiRwr9UREREQkKnJOqlfDQT0RERERiQrH9Oo4/YaIiIiISORYqSciIiIiUeH0G3Ws1BMRERERiRwr9UREREQkKizUq2OlnoiIiIhI5FipJyIiIiJRYVVaHd8TIiIiIiKRY6WeiIiIiERFxkn1ajioJyIiIiJR4ZBeHaffEBERERGJnE4H9X379oVMJoNMJoOBgQGcnZ0xbtw4vHnzRtUna/2Hy5YtW1R9fvjhB1SpUgVmZmawsrJCtWrVEBQUpFo/ffp01Xb6+vooW7YsRo4cidevXwviWb9+PWrUqAETExOYm5ujQYMG2Lt3r6DP8ePHIZPJ4OnpiYyMDME6KysrhIaGql5fvnwZbdq0gb29PYyMjFC2bFl06dIFz549AwA8ePAgx/zOnTuX5/sXGhqa7bZr1qxR9UlOTsa0adPg6uoKhUIBOzs7dOrUCREREYJ9vf8e6enpwcnJCQMHDkRcXJygX9myZdXe/yyenp6QyWSC90DXtmzaiBZNG6NGNS/06NoJV69c0XVIBcI8ig4p5ABIIw8p5HDxwp8YNuRr+DSshyqebjh65LCuQyowKZwPKeQASCeP3MhlMq0tYqXzSn3z5s0RFRWFe/fuITg4GKtWrcK0adMEfUJCQhAVFSVY2rVrBwBYt24dRowYgf/9738IDw/HH3/8gXHjxqkN2D09PREVFYUHDx5g/vz5WL16NUaPHq1aP2bMGAwaNAhdunTBlStXcP78edSrVw9t27bFsmXL1OK+d+8efvzxxxzzev78OZo0aQIbGxscOHAAkZGRCAkJgaOjIxITEwV9Dx8+rJZf9erV8/X+WVhYqG3bo0cPAEBKSgp8fHywbt06zJ49G7du3cLvv/+O9PR01KpVS+2LQ9Z79PDhQ4SEhGD//v0YPHiw2jGdnJwQEhIiaDt37hyio6Nhamqar7g/hf37fseiBUEYNCQAW7bvhJubOwYP8kdsbKyuQ9MI8yg6pJADII08pJADACQnJ8HNzQ2Bk6fl3bkIk8L5kEIOgHTyIM3pfFCvUCjg4OAAJycntGvXDj4+Pjh06JCgj5WVFRwcHASLkZERAGDPnj3o3Lkz/P394eLiAk9PT3Tr1g1z5swR7ENfXx8ODg4oVaoUunTpgh49emDPnj0A3g5IFy9ejIULF2LMmDFwcXGBh4cH5syZgxEjRmDUqFF49OiRYH/Dhg3DtGnTkJKSkm1ef/zxBxISErBmzRpUq1YNzs7OaNSoEYKDg+Hs7Czoa2trq5afgYFBvt4/mUymtq2xsTEA4Ntvv8XZs2exd+9edO7cGWXKlEHNmjWxY8cOeHh4wN/fH0qlUu09KlmyJHx8fNCpUye1cwEAPXr0wIkTJwTvybp169CjRw/o6xed2zQ2rA9Bh46d0a69H8q7uGDytBkwMjLCrl926Do0jTCPokMKOQDSyEMKOQBAvS8aYOjwkWji01TXoXwUKZwPKeQASCePvMi0uIiVzgf177t27RrOnDkDQ0PDfG/j4OCAc+fO4e+//9boWMbGxkhNTQUAbN68GWZmZhg0aJBav9GjRyMtLQ07dgg/DCNGjEB6ejqWLl2aY1zp6enYuXOnYOD8KW3atAlNmzZFlSpVBO1yuRwjR47E9evXcfny5Wy3ffDgAQ4cOJDtuShevDh8fX2xfv16AEBSUhK2bt2Kfv36FX4SBZSWmorI6xGo7V1H1SaXy1G7dh1cuXxJh5FphnkUHVLIAZBGHlLIQUqkcD6kkAMgnTyoYHQ+qN+7dy/MzMxgZGQELy8vPHv2DGPHjhX06datG8zMzATLw4cPAQDTpk2DlZUVypYtCzc3N/Tt2xfbtm1DZmZmjse8ePEiNm3ahMaNGwMAbt26hfLly2c7gHV0dISFhQVu3bolaDcxMcG0adMQFBSEhIQEte1q166NiRMnonv37rCzs0OLFi2wcOFCPH36VK1vnTp11PLLr4SEBMF2Dg4OqnW3bt2Ch4dHtttltb+f19WrV2FmZgZjY2M4OzsjIiIC48ePz3b7fv36ITQ0FEqlEj///DPKly+PqlWr5jtubXsR/wIZGRmwtbUVtNva2iImJkZHUWmOeRQdUsgBkEYeUshBSqRwPqSQAyCdPPJDJtPeIlY6nyvRqFEjrFixAomJiQgODoa+vj78/PwEfYKDg+Hj4yNoc3R0BACUKFECZ8+exbVr13Dy5EmcOXMGffr0wZo1a7B//37I5W+/t2QNWDMyMpCamopWrVoJ5soXpJru7++PxYsXY/78+Zg7d67a+jlz5mDUqFE4evQowsLCsHLlSsydOxcnT56El5eXqt/WrVtzHHznxdzcHH/99ZfqdVa+WTTJy83NDXv27MGbN2/w008/ITw8HMOGDcu2b6tWrTBo0CCcPHkS69aty3eVPiUlRW3KklJPAYVCke84iYiIiEhI55V6U1NTuLi4oEqVKli3bh3CwsKwdu1aQR8HBwe4uLgIlg/nbleqVAlDhgzBTz/9hEOHDuHQoUM4ceKEar2bmxvCw8MRGRmJ5ORk7NmzB8WLFwcAuLq64t69e6rpOO978uQJXr58CVdXV7V1+vr6mDNnDr777js8efIk2/xsbW3RqVMnLFq0CJGRkXB0dMSiRYsEfZycnNTyyy+5XC7Yrly5cqp1rq6uiIyMzHa7rPb38zI0NISLiwsqVaqEefPmQU9PDzNmzMh2e319ffTq1QvTpk1DWFiY6ubcvAQFBcHS0lKwLJwflPeGGrK2soaenp7ajUGxsbGws7Mr9ONpC/MoOqSQAyCNPKSQg5RI4XxIIQdAOnnkR05PDyyMRax0Pqh/n1wux8SJEzF58mQkJycXeD8VK1YEAMFTZrIGrGXLllWbZtO1a1e8fv0aq1atUtvXokWLYGBgoHb1IEunTp3g6emZ4+D3fYaGhihfvrza02+0pWvXrjh8+LDavPnMzEwEBwejYsWKavPt3zd58mQsWrQoxy8s/fr1w4kTJ9C2bVtYW1vnK6bAwEAkJCQIlrHjA/OfVD4ZGBrCo6Inws6dVbVlZmYiLOwsKlepVujH0xbmUXRIIQdAGnlIIQcpkcL5kEIOgHTyyA+5Fhex0vn0mw916tQJY8eOxffff48xY8YAAOLj4xEdHS3oZ25uDlNTUwwePBiOjo5o3LgxSpUqhaioKMyePRvFihWDt7d3vo7p7e2N4cOHY+zYsUhNTUW7du2QlpaGn376Cd999x2+/fZbODk55bj9vHnz4OvrK2jbu3cvtmzZgq5du8LV1RVKpRK//vorfv/9d7XHQcbGxqrlZ2VlpXrCT0GNHDkSu3fvRuvWrbF48WLUqlULT58+xdy5cxEZGYnDhw/n+o3U29sblStXxty5c7N9rKeHhwdiYmJgYmKS75gUCvWpNm/S85+TJnr1+QpTJo6Hp2clVPKqjJ82rEdycjLate+gnQNqCfMoOqSQAyCNPKSQAwAkJSaq7hEDgH8eP8aNyEhYWlqixL/TTMVACudDCjkA0smDNFfkBvX6+voYOnQoFixYoHpG+ldffaXWLygoCBMmTFA9h33FihWqy0ve3t44cuSI2o0iufn2229RuXJlLF++HJMnT4aenh4+++wz7Nq1C61bt85128aNG6Nx48Y4ePCgqq1ixYowMTHB6NGj8ejRIygUClSoUAFr1qxBr169BNt/eL8A8PaJPF27ds13/NkxMjLC0aNHMXfuXEycOBF///03zM3N0ahRI5w7dw6VKlXKcx8jR45E3759MX78+Gy/2GjyHn9qzVu0xIu4OCxftgQxMc/h5u6B5avWwFZklyCZR9EhhRwAaeQhhRwAICLiGvp/1Vv1etGCt9MR27Rtj1lz5+kqLI1J4XxIIQdAOnnkRczTZLRFptTV8xaJ/qWtSj0RERFpj5EOS8PbwrOfGlwYOlcVz1Wy9xW5Sj0RERERUW5Yp1cn5vsBJM/T01Pt+fVZy8aNG3UdHhEREREVEazUF2G///470tLSsl2X9ThOIiIiov8azqlXx0F9EVamTBldh0BEREREIsBBPRERERGJCuePq+OgnoiIiIhEhdNv1PGLDhERERGRyLFST0RERESiwjq9OlbqiYiIiIhEjpV6IiIiIhIVTqlXx0o9EREREZHIsVJPRERERKIi56x6NazUExERERGJHAf1RERERCQqMpn2Fk2cPHkSrVu3hqOjI2QyGXbt2iVYr1QqMXXqVJQoUQLGxsbw8fHB7du3BX3i4uLQo0cPWFhYwMrKCv7+/nj9+rXG7wkH9UREREQkKjIt/k8TiYmJqFKlCr7//vts1y9YsABLlizBypUrERYWBlNTU/j6+uLNmzeqPj169EBERAQOHTqEvXv34uTJkxg4cKDm74lSqVRqvBVRIXqTrusIiIiISFNGOrwz87drz7S271aV7Au0nUwmw86dO9GuXTsAb6v0jo6OGD16NMaMGQMASEhIQPHixREaGoquXbsiMjISFStWxJ9//onPP/8cALB//360bNkSjx8/hqOjY76Pz0o9EREREYlKUZl+k5v79+8jOjoaPj4+qjZLS0vUqlULZ8+eBQCcPXsWVlZWqgE9APj4+EAulyMsLEyj4/HpN0RERERE/0pJSUFKSoqgTaFQQKFQaLSf6OhoAEDx4sUF7cWLF1eti46Ohr298MqAvr4+bGxsVH3yi5V6IiIiIhIVOWRaW4KCgmBpaSlYgoKCdJ1ynlipJyIiIiL6V2BgIEaNGiVo07RKDwAODg4AgKdPn6JEiRKq9qdPn6Jq1aqqPs+eCe8PSE9PR1xcnGr7/GKlnoiIiIhERZtz6hUKBSwsLARLQQb1zs7OcHBwwJEjR1RtL1++RFhYGLy9vQEA3t7eiI+Px8WLF1V9jh49iszMTNSqVUuj47FST0RERERUAK9fv8adO3dUr+/fv4/w8HDY2NigdOnSGDFiBGbPno0KFSrA2dkZU6ZMgaOjo+oJOR4eHmjevDkGDBiAlStXIi0tDUOHDkXXrl01evINwEE9EREREYlMYT6l5mNcuHABjRo1Ur3OmrbTp08fhIaGYty4cUhMTMTAgQMRHx+PevXqYf/+/TAyMlJts3HjRgwdOhRNmjSBXC6Hn58flixZonEsfE496RyfU09ERCQ+unxO/aHIGK3tu6mHndb2rU2cU09EREREJHKcfkNEREREoiIvItNvihJW6omIiIiIRI6VeiIiIiISFRlYqv8QK/VERERERCLHSj0RERERiUpReaRlUcJKPRERERGRyLFST0RERESiwjn16jioJyIiIiJR4SMt1XH6DRERERGRyLFST0RERESiwuk36lipJyIiIiISOQ7qi5Dnz59j8ODBKF26NBQKBRwcHODr64s//vgDACCTybBr1y617fr27Yt27dqpXjds2BAymQwymQxGRkZwdXVFUFAQlEolUlNTYWdnh3nz5mUbw6xZs1C8eHGkpaUhNDRUtZ/3FyMjIyiVSvj4+MDX11dtH8uXL4eVlRUeP35cKO/Lx9iyaSNaNG2MGtW80KNrJ1y9ckXXIRUI8yg6pJADII08pJADIP48Ll74E8OGfA2fhvVQxdMNR48c1nVIBSb2c5FFKnnkRibT3iJWHNQXIX5+frh06RLWr1+PW7duYc+ePWjYsCFiY2M13teAAQMQFRWFmzdvIjAwEFOnTsXKlSthaGiInj17IiQkRG0bpVKJ0NBQ9O7dGwYGBgAACwsLREVFCZa///4bMpkMISEhCAsLw6pVq1T7uH//PsaNG4elS5eiVKlSBX8zCsH+fb9j0YIgDBoSgC3bd8LNzR2DB/kX6P3UJeZRdEghB0AaeUghB0AaeSQnJ8HNzQ2Bk6fpOpSPIoVzAUgnD9IcB/VFRHx8PE6dOoX58+ejUaNGKFOmDGrWrInAwEC0adNG4/2ZmJjAwcEBZcqUwVdffYXKlSvj0KFDAAB/f3/cunULp0+fFmxz4sQJ3Lt3D/7+/qo2mUwGBwcHwVK8eHEAgJOTE7777juMGTMG9+/fh1KphL+/P5o1a4ZevXp9xLtRODasD0GHjp3Rrr0fyru4YPK0GTAyMsKuX3boOjSNMI+iQwo5ANLIQwo5ANLIo94XDTB0+Eg08Wmq61A+ihTOBSCdPPIi0+IiVhzUFxFmZmYwMzPDrl27kJKSUmj7VSqVOHXqFG7cuAFDQ0MAgJeXF2rUqIF169YJ+oaEhKBOnTpwd3fP9/779OmDJk2aoF+/fli2bBmuXbsmqNzrSlpqKiKvR6C2dx1Vm1wuR+3adXDl8iUdRqYZ5lF0SCEHQBp5SCEHQDp5SIFUzoVU8qCC4aC+iNDX10doaCjWr18PKysr1K1bFxMnTsSVAs6DW758OczMzKBQKFC/fn1kZmbif//7n2q9v78/tm/fjtevXwMAXr16hZ9//hn9+vUT7CchIUH1hSNradGihaDP6tWrce3aNYwYMQKrV69GsWLFcowrJSUFL1++FCyF+SUmy4v4F8jIyICtra2g3dbWFjExMYV+PG1hHkWHFHIApJGHFHIApJOHFEjlXEglj/yQy2RaW8SKg/oixM/PD0+ePMGePXvQvHlzHD9+HJ999hlCQ0M13lePHj0QHh6OP/74Ay1atMCkSZNQp867b+7dunVDRkYGtm3bBgDYunUr5HI5unTpItiPubk5wsPDBcuaNWsEfezt7TFo0CB4eHgIbtjNTlBQECwtLQXLwvlBGudHRERE/12cfqOOz6kvYoyMjNC0aVM0bdoUU6ZMQf/+/TFt2jT07dsX5ubmSEhIUNsmPj4elpaWgjZLS0u4uLgAALZt2wYXFxfUrl0bPj4+AN7eANuxY0eEhISgX79+CAkJQefOnWFmZibYj1wuV+0nN/r6+tDXz/vHKTAwEKNGjRK0KfUUeW6nKWsra+jp6andGBQbGws7O7tCP562MI+iQwo5ANLIQwo5ANLJQwqkci6kkgcVDCv1RVzFihWRmJgIAHBzc8PFixcF6zMyMnD58mW4urrmuA8zMzMMHz4cY8aMgVKpVLX7+/vj9OnT2Lt3L86cOSO4QVZbFAoFLCwsBItCUfiDegNDQ3hU9ETYubOqtszMTISFnUXlKtUK/XjawjyKDinkAEgjDynkAEgnDymQyrmQSh75wlK9Glbqi4jY2Fh06tQJ/fr1Q+XKlWFubo4LFy5gwYIFaNu2LQBg1KhR8Pf3h7u7O5o2bYrExEQsXboUL168QP/+/XPd/6BBgzBr1izs2LEDHTt2BADUr18fLi4u6N27N9zd3QXTc7IolUpER0ertdvb20MuL9rfCXv1+QpTJo6Hp2clVPKqjJ82rEdycjLate+g69A0wjyKDinkAEgjDynkAEgjj6TERDx8+FD1+p/Hj3EjMhKWlpYo4eiow8g0I4VzAUgnD9IcB/VFhJmZGWrVqoXg4GDcvXsXaWlpcHJywoABAzBx4kQAb+fBK5VKfPPNN5gwYQJMTExQvXp1nDx5UvWYyZzY2Nigd+/emD59Ojp06AC5XA6ZTIZ+/fph4sSJCAwMzHa7ly9fokSJEmrtUVFRcHBw+PjEtah5i5Z4EReH5cuWICbmOdzcPbB81RrYiuwSJPMoOqSQAyCNPKSQAyCNPCIirqH/V71VrxcteHufVJu27TFrbvZ/6LAoksK5AKSTR15kYi6pa4lM+f58DCIdeJOu6wiIiIhIU0Y6LA2H3VW/x7Cw1CpvmXenIoiVeiIiIiISFRE/eVJrivakaCIiIiIiyhMr9UREREQkKizUq+OgnoiIiIjEhaN6NZx+Q0REREQkcqzUExEREZGo8JGW6lipJyIiIiISOVbqiYiIiEhU+EhLdazUExERERGJHCv1RERERCQqLNSrY6WeiIiIiEjkWKknIiIiInFhqV4NK/VERERERCLHSj0RERERiQqfU6+Og3oiIiIiEhU+0lIdp98QEREREYkcK/VEREREJCos1KtjpZ6IiIiISORYqSedUyp1HUHh4Pw+IiLtuxn1StchfDS3Eua6DkH8+G+uGlbqiYiIiIhEjpV6IiIiIhIVPtJSHSv1REREREQix0o9EREREYkK72NTx0E9EREREYkKx/TqOP2GiIiIiEjkWKknIiIiInFhqV4NK/VERERERCLHSj0RERERiQofaamOlXoiIiIiIpFjpZ6IiIiIRIWPtFTHSj0RERERkcixUk9EREREosJCvToO6omIiIhIXDiqV8PpN0REREREIsdKPRERERGJCh9pqa7IVOqfP3+OwYMHo3Tp0lAoFHBwcICvry9OnDgBBwcHzJ07V22bzp07o3bt2sjIyMD06dMhk8nw9ddfC/qEh4dDJpPhwYMHgvb169ejRo0aMDExgbm5ORo0aIC9e/cK+hw/fhwymUy1FC9eHH5+frh3757auuyW48ePIzQ0FFZWVoL9pqamYsGCBahSpQpMTExgZ2eHunXrIiQkBGlpabm+T3kdc/r06aq+7u7uUCgUiI6OVttPw4YN1XLr1KkT/v77b1WfBw8eQCaTITw8PNtYQkNDs43ByMgo1xw+hbU/rEL3Ln6oU7MaGtX3xoj/DcGD+/d0HVaBbdm0ES2aNkaNal7o0bUTrl65ouuQCkQKeUghB0AaeUghB4B56EpczDMsCZqCfu2boEfLuhjdvwvu3rwu6PP47/uYP2Uk+rRpgF5f1kPgkN6Iear+b2pRcfHCnxg25Gv4NKyHKp5uOHrksK5Dok+oyAzq/fz8cOnSJaxfvx63bt3Cnj170LBhQyQkJGD16tWYMWMGrl69quq/fft27N27F+vXr4eenh4AwMjICGvXrsXt27dzPdaYMWMwaNAgdOnSBVeuXMH58+dRr149tG3bFsuWLVPrf/PmTTx58gTbt29HREQEWrduDW9vb0RFRamWzp07o3nz5oK2OnXqqO0rNTUVvr6+mDdvHgYOHIgzZ87g/PnzCAgIwNKlSxEREZFr7O/v/9tvv4WFhYWgbcyYMQCA06dPIzk5GR07dsT69euz3deAAQMQFRWFJ0+eYPfu3Xj06BF69uyZ6/E/9OHxo6KiBF8MdOXihfPo0q0Hfty0DStXhyA9LR2DB/ojOSlJ16FpbP++37FoQRAGDQnAlu074ebmjsGD/BEbG6vr0DQihTykkAMgjTykkAPAPHTl9auXmDLcH/r6+pgY9B2C125D769HwtTcQtUn+sljTB3RHyWdymL64lVYuHoL/Hr6w8DQUIeR5y45OQlubm4InDxN16FonUymvUUTWUXl9xd3d3fV+jdv3iAgIAC2trYwMzODn58fnj59WsjvxltFYvpNfHw8Tp06hePHj6NBgwYAgDJlyqBmzZqqPt27d0efPn0QFhaG+Ph4BAQEYN68eXBzc1P1cXNzg729PSZNmoRt27Zle6xz585h8eLFWLJkCYYNG6ZqnzNnDt68eYNRo0ahbdu2cHJyUq2zt7eHlZUVSpQogalTp6JHjx548OCB4NjGxsZISUmBg4NDrrl+++23OHnyJC5cuIBq1aqp2suVK4dOnTohNTU11+3f37+lpSVkMlm2x1y7di26d++OBg0aYPjw4Rg/frxaHxMTE9W2JUqUwNChQzFo0KBcj/+hnI6va8tXrRW8njlnHhrX98b16xGo/nkNHUVVMBvWh6BDx85o194PADB52gycPHkcu37ZAf8BA3UcXf5JIQ8p5ABIIw8p5AAwD13ZvWU9bIsVx5Cx7wa/9iVKCvpsWfc9qtWqg54Dh6vaHBxLfbIYC6LeFw1Q74sGug7jP8fT0xOHD7+7KqKv/254PXLkSPz222/Yvn07LC0tMXToUHTo0AF//PFHocdRJCr1ZmZmMDMzw65du5CSkpJtn++++w6xsbGYNWsWhgwZgkqVKgkG5VnmzZuHHTt24MKFC9nuZ/PmzTAzM8t28Dp69GikpaVhx44dOcZqbGwMAHkOvnOyceNG+Pj4CAb0WQwMDGBqalqg/b7v1atX2L59O3r27ImmTZsiISEBp06dynWbuLg4bNu2DbVq1fro4xdFr1+/AvD2i5CYpKWmIvJ6BGp7v7vqI5fLUbt2HVy5fEmHkWlGCnlIIQdAGnlIIQeAeejShbMnUc7VA9/MHI/+HZti3KDuOPzbTtX6zMxM/BX2B0qUKoM544eif8emmDi0D87/cVx3QZOATIuLpvT19eHg4KBa7OzsAAAJCQlYu3YtvvnmGzRu3BjVq1dHSEgIzpw5g3PnzhU09RwViUG9vr4+QkNDsX79elhZWaFu3bqYOHEirrw3H8/CwgIhISGYO3cuDh48iJCQEMiyuUby2WefoXPnztlWpgHg1q1bKF++PAyzuXzm6OgICwsL3Lp1K9tto6KisGjRIpQsWVJQpdfE7du3BZdltGHLli2oUKECPD09oaenh65du2Lt2rVq/ZYvXw4zMzOYmprC1tYWN2/exLp16zQ6VkJCgupLWdbSokWLwkqlUGRmZmLhvLmoWu0zuFRw1XU4GnkR/wIZGRmwtbUVtNva2iImJkZHUWlOCnlIIQdAGnlIIQeAeejSs6h/cOjXHXAoWRqTgpaiWeuOCPl+EY4ffHtv3cv4OLxJTsLuLaGoUsMbk+ctQ826jbB4+lhcv3xRx9GTtqWkpODly5eCJaeiM/B2bOfo6Ihy5cqhR48eePjwIQDg4sWLSEtLg4+Pj6qvu7s7SpcujbNnzxZ63EViUA+8nVP/5MkT7NmzB82bN8fx48fx2WefITQ0VNWncePGqF27Nnr16oUyZcrkuK/Zs2fj1KlTOHjwYLbrlUqlRrGVKlUKpqamcHR0RGJiInbs2JHtl4L80PTYBbFu3TrB3PiePXti+/btePXqlaBfjx49EB4ejsuXL+P06dNwcXFBs2bN1PrlxtzcHOHh4YJlzZo1OfbX9INSGIJmz8CdO7cxf2GwVo9DRETikKnMhHMFd3T3D4BzBXf4fNkBTVq2w6Ff316pz8x8+2/1594N8GXHHijr4oZ23fris9r1cHBvzlfz6RPSYqk+KCgIlpaWgiUoKCjbMGrVqoXQ0FDs378fK1aswP379/HFF1/g1atXiI6OhqGhodoDU4oXL57tQ0w+VpEZ1ANvb3Rt2rQppkyZgjNnzqBv376YNk14s4e+vr5grlJ2ypcvjwEDBmDChAlqg2hXV1fcu3cv2+kzT548wcuXL+HqKqzmnjp1CleuXMHLly8RHh7+UVNUXF1dcePGjQJvn5fr16/j3LlzGDdunOq9ql27NpKSkrBlyxZBX0tLS7i4uMDFxQV169ZV3WS8devWfB9PLper9pG1lCxZMsf+2X1QFs7P/oNSGILmzMTJE8exZt16FC+Cc//zYm1lDT09PbWbzWJjY1WX98RACnlIIQdAGnlIIQeAeeiStY0dSpVxFrSVKu2MmGdvB1oWllbQ09NT61OytDNinxXdp9/8l8i0+L/AwEAkJCQIlsDAwGzjaNGiBTp16oTKlSvD19cXv//+O+Lj43O8t1ObitSg/kMVK1ZEYmJigbadOnUqbt26pTaQ7dq1K16/fo1Vq1apbbNo0SIYGBjAz89P0O7s7Izy5cvD3Ny8QLG8r3v37jh8+DAuXVKfZ5iWllbgfLOsXbsW9evXx+XLlwXV81GjRmU7Bed9WU8RSk5O/qgYcpPdB2Xs+Ow/KB9DqVQiaM5MHD1yCKvXrUfJUk55b1QEGRgawqOiJ8LOvbtMl5mZibCws6hcRf2+jKJKCnlIIQdAGnlIIQeAeeiSm2cVPHkkfFLbk8d/o1jxEgAAfQMDlHfzxJPHwj5Rjx/Czr7EJ4uTdEOhUMDCwkKwKBSKfG1rZWUFV1dX3LlzBw4ODkhNTUV8fLygz9OnT7XykJEi8fSb2NhYdOrUCf369UPlypVhbm6OCxcuYMGCBWjbtm2B9lm8eHGMGjUKCxcuFLR7e3tj+PDhGDt2LFJTU9GuXTukpaXhp59+wnfffYdvv/1W8OSbwjZixAj89ttvaNKkCWbNmoV69eqp8p0/fz7Wrl2LqlWrFmjfaWlp2LBhA2bOnIlKlSoJ1vXv3x/ffPMNIiIi4OnpCQBISkpSXf55+vQpZs2aBSMjIzRr1kyw7c2bN9WOlbUPpVKZ7SUke3t7yOXq3xkVCoXaByM590fzF8jc2TOw7/e9+HbJcpiamiIm5jkAwMzMvEg8R18Tvfp8hSkTx8PTsxIqeVXGTxvWIzk5Ge3ad9B1aBqRQh5SyAGQRh5SyAFgHrrSyq87pgzvh182rUOdBk1x50YEjvy+EwNHTlL1adO5F4JnB8LD6zNUqvo5wv88g4tnT2H6YvWiYFGRlJioms8NAP88fowbkZGwtLRECUdHHUZW+DR99OSn8vr1a9y9exe9evVC9erVYWBggCNHjqgKxjdv3sTDhw/h7e1d6McuEoN6MzMz1KpVC8HBwbh79y7S0tLg5OSEAQMGYOLEiQXe75gxY7BixQq8efNG0P7tt9+icuXKWL58OSZPngw9PT189tln2LVrF1q3bv2x6eRKoVDg0KFDCA4OxqpVqzBmzBiYmJjAw8MD//vf/9QG45rYs2cPYmNj0b59e7V1Hh4e8PDwUN2FDQA//PADfvjhBwCAtbU1KleujN9//13tJuCuXbuq7e/Ro0cAgJcvX6JECfWqRVRUlE4fdbl962YAQP+vegnaZ8wOQtt2RfMfmZw0b9ESL+LisHzZEsTEPIebuweWr1oD2yJ6WTsnUshDCjkA0shDCjkAzENXXNw9MWbGImxasww7NqyBfQlH9Bk8Gl80efegh5r1GmHA8EDs2hKKkO8XwdGpDEZPmw93r6q6CzwPERHX0P+r3qrXixa8nd7apm17zJo7T1dhSdqYMWPQunVrlClTBk+ePMG0adOgp6eHbt26wdLSEv7+/hg1ahRsbGxgYWGBYcOGwdvbG7Vr1y70WGTKT3HnJlEutFGp14WiWjUgIpKSm1H5f5hDUeVW4uOn8xYFRjosDd99pr2pwuXtjfPdt2vXrjh58iRiY2NRrFgx1KtXD3PmzEH58uUBvP3jU6NHj8bmzZuRkpICX19fLF++XCuFTw7qSec4qCciovzioL7o4KC+aCkS02/onYcPH6JixYo5rr9+/TpKly79CSMiIiIiKmJYSFPDQX0R4+joiPDw8FzXExERERG9j4P6IkZfXx8uLi66DoOIiIioyJKxVK+Gg3oiIiIiEhXex6auSP/xKSIiIiIiyhsr9UREREQkKizUq2OlnoiIiIhI5FipJyIiIiJxYaleDSv1REREREQix0o9EREREYkKH2mpjpV6IiIiIiKRY6WeiIiIiESFz6lXx0E9EREREYkKx/TqOP2GiIiIiEjkWKknIiIiIlHh9Bt1rNQTEREREYkcK/VEREREJDIs1X+Ig3rSufTMTF2HUCgM9MR/4StTqdR1CIVCzuuyRJLlVsJc1yF8tJfJaboOoVAYmRvoOgR6Dwf1RERERCQqrN2oE39pkYiIiIjoP46VeiIiIiISFRbq1XFQT0RERESiwuk36jj9hoiIiIhI5FipJyIiIiJRkXECjhpW6omIiIiIRI6VeiIiIiISFxbq1bBST0REREQkcqzUExEREZGosFCvjpV6IiIiIiKRY6WeiIiIiESFz6lXx0E9EREREYkKH2mpjtNviIiIiIhEjpV6IiIiIhIXFurVsFJPRERERCRyoh/Ut27dGs2bN8923alTpyCTyXDlyhUAwKBBg6Cnp4ft27er9Z0+fTpkMhlkMhn09PTg5OSEgQMHIi4uTtCvbNmy+PbbbwVtZ86cQcuWLWFtbQ0jIyN4eXnhm2++QUZGhqrPgwcPIJPJEB4ernbshg0bYsSIEarXly9fRps2bWBvbw8jIyOULVsWXbp0wbNnz3J9L97PIacFAPr27Zvtuqz38cmTJ7C2tsaSJUsE+w8LC4OBgQEOHjyY53GmT5+ea6yfQmJiIhbPn4svfRujbo2q6NerGyKuXdV1WAWyZdNGtGjaGDWqeaFH1064+u/PtFhs27IZndu3Qb1a1VGvVnX07tEFp0+d1HVYBSL2c5FF7HlcvPAnhg35Gj4N66GKpxuOHjms65AKTOznIosU8hBTDhtCfsCA3l3QrH5NtG5aH4Gj/4eHD+5n21epVGLM/77GF59XwsnjRz5xpNoh0+IiVqIf1Pv7++PQoUN4/Pix2rqQkBB8/vnnqFy5MpKSkrBlyxaMGzcO69aty3Zfnp6eiIqKwsOHDxESEoL9+/dj8ODBuR5/586daNCgAUqVKoVjx47hxo0bGD58OGbPno2uXbtCqVRqlM/z58/RpEkT2NjY4MCBA4iMjERISAgcHR2RmJiY67ZjxoxBVFSUailVqhRmzpwpaMvSvHlzQXtUVBQ2b94MAHB0dMTSpUsRGBiI27dvAwCSk5PRp08f9O/fH82aNRNs9+2338LCwkLQNmbMGI3y1obZ0ycj7NwZzJwzH1t27EYt77oYMrAfnj19quvQNLJ/3+9YtCAIg4YEYMv2nXBzc8fgQf6IjY3VdWj5VtyhOIaNHI2N23Zg49afUbNmbYwcFoC7d27rOjSNSOFcANLIIzk5CW5ubgicPE3XoXwUKZwLQBp5iC2H8L8uoH2nblgVsgnB369GenoaRg0diOTkJLW+2zZt4I2l/wGiH9R/+eWXKFasGEJDQwXtr1+/xvbt2+Hv7w8A2L59OypWrIgJEybg5MmTePTokdq+9PX14eDggJIlS8LHxwedOnXCoUOHcjx2YmIiBgwYgDZt2mD16tWoWrUqypYti/79+2P9+vX4+eefsW3bNo3y+eOPP5CQkIA1a9agWrVqcHZ2RqNGjRAcHAxnZ+dctzUzM4ODg4Nq0dPTg7m5uaAti0KhELQ7ODjA2tpatb5nz57w9fVF3759kZmZicDAQKSlpWHhwoUAINjO0tISMplM0GZmZqZR3oXtzZs3OHr4EP43cgw++7wGnEqXwaAhQ+HkVBo/b9us09g0tWF9CDp07Ix27f1Q3sUFk6fNgJGREXb9skPXoeVbg4aN8UX9BihTpizKlHXG0OEjYWJigiuXL+s6NI1I4VwA0sij3hcNMHT4SDTxaarrUD6KFM4FII08xJbD4qWr0LJ1OziXd4GLqzsmTp+Dp9FRuBl5XdDv9s0b2LpxPSZMnaWjSLVDJtPeIlaiH9Tr6+ujd+/eCA0NFVTFt2/fjoyMDHTr1g0AsHbtWvTs2ROWlpZo0aKF2peADz148AAHDhyAoaFhjn0OHjyI2NjYbKvSrVu3hqurq6r6nV8ODg5IT0/Hzp07Na7yF7aVK1fi9u3b6NGjB5YtW4aQkBCdD9bzKyMjAxkZGTA0VAjaFUZGCL/0l46i0lxaaioir0egtncdVZtcLkft2nVw5fIlHUZWcBkZGdj/+29ITk5C5apVdR1OvknlXEglDymQyrmQQh5SyCHx9WsAgIWFpartzZtkzJg8DiPHTYKtnZ2uQqNPRPSDegDo168f7t69ixMnTqjaQkJC4OfnB0tLS9y+fRvnzp1Dly5dALytQoeEhKgNmq9evQozMzMYGxvD2dkZERERGD9+fI7HvXXrFgDAw8Mj2/Xu7u6qPvlVu3ZtTJw4Ed27d4ednR1atGiBhQsX4mkhTxnZu3cvzMzMBMvcuXMFfezt7TFr1ixs2bIFAwcORP369Qs1Bm0yNTVF5SpVsWb1Cjx/9gwZGRn4fe8eXL0cjpjnz3UdXr69iH+BjIwM2NraCtptbW0RExOjo6gK5vatm6hT4zPU+qwy5syajsXfLUP58i66DivfpHIupJKHFEjlXEghD7HnkJmZiSWL58GrSjWUc6mgal+6eAEqVa6KLxo21mF02iHT4v/EShKDend3d9SpU0c1V/7OnTs4deqUaurNunXr4OvrC7t/v6W2bNkSCQkJOHr0qGA/bm5uCA8Px59//onx48fD19cXw4YNy/P4hV1RnzNnDqKjo7Fy5Up4enpi5cqVcHd3x9WrhXeTZ6NGjRAeHi5Yvv76a0GfjIwMhIaGwsTEBOfOnUN6evpHHzclJQUvX74ULCkpKR+93+zMnDsfUCrRwqcB6nxeBVs2/QTfFq0gl0vix150yjo7Y8uOnfhx01Z06twVUydNwN27d3QdFhGR6H0zfzbu372D6XMXqtpOnziGvy6E4X+jJ+gwMvqUJDO68ff3x44dO/Dq1SuEhISgfPnyaNCgATIyMrB+/Xr89ttv0NfXh76+PkxMTBAXF6d2w6yhoSFcXFxQqVIlzJs3D3p6epgxY0aOx3R1dQUAREZGZrs+MjJS1cfCwgIAkJCQoNYvPj4elpaWgjZbW1t06tQJixYtQmRkJBwdHbFo0aL8vyF5MDU1hYuLi2CxsbER9Fm0aBHu3buHCxcu4PHjx2qV/IIICgqCpaWlYFm8YN5H7zc7pZxKY3XIBpw6dxG/HTyKHzdtQ3p6GkqWKqWV42mDtZU19PT01G7Uio2NVX1JFQsDA0OULl0GFT0r4X8jR8PVzR2bf/pR12Hlm1TOhVTykAKpnAsp5CHmHILnz8HZ0yfw3cp1sC/+7t65vy6E4Z/Hj/7f3n3HNXW2/wP/JGHIVCkOcOJAcWCtA0ed4EArpVRQXIBY9XGDA7QKKqKPCxUnla0VhYqKVesWVEQfFygunDhAtIhsMOb8/vBrfoZlQMg5J7nez4vXq8k5D3yOJOTKnfu+bgwb0BP9LTqhv0UnAMCSBW6YOdmZpbTVh+bUl6Y0Rb2DgwOEQiH27NmD8PBwTJw4EQKBAEePHkVOTg5u3LghMyodERGB6OhoZGVllfs9Fy9ejHXr1uHVq1dlHh88eDAMDAywfv36UsdiYmKQkpIindNvYGAAQ0NDXLt2Tea87OxsPHz4UFr8l0VDQwMtW7b8aveb6pScnAxvb29s374dZmZm2L59O1asWCFtD1pVCxcuxPv372W+5i6o2VEELW1tGNarj+zs97gUfxH9BljW6M+rTuoaGjBr1x6XEy5J75NIJLh8+RLMO3VmMdm3YyQSFBcXsx1Dbsryu1CW61AGyvK7UIbr4OM1MAyDDat9EXfuNDZuD4ZxI9kBq7FOkxAaEY3gP/+SfgHATPcFWOi9go3IpIYpzY6yurq6GDVqFBYuXIjs7Gw4OzsD+LRAdvjw4ejUqZPM+e3atYObmxv+/PNPTJ8+vczv2bNnT5ibm2PlypXYsmVLqeM6OjoICAjA6NGjMXnyZMyYMQP6+vo4ffo05s+fj5EjR8LBwUF6vru7O1auXIkGDRqgR48e+Pfff+Hj44N69erBzs4OwKe57nv37sXo0aNhamoKhmFw+PBhHD16FCEhIdX0r/VpGkx6errMfWpqajA0NIRYLIaTkxPs7OykuX799Vf8+uuvcHZ2xpUrV6CmVrWHjqamJjQ1ZRev5hRJqnYRX3Hp4gUwDINmzU3w/Pkz+PutQ/PmJrD5+Zca+Xk1ZbyTC5Ys8kD79h3QoaM5du8KQ0FBAWx/sWM7mtz8N6xH7z59YWRkhLy8PBw78jeu/u8KtgUEsh2tUpThdwEox3Xk5+UhNTVVevvlixe4d/cuateuDSNjYxaTVY4y/C4A5bgOvl2D3+oVOPXPUaxc7w9tbR38+39z/3V1daFZqxa+MzQsc3Fs/YZGpd4AEOWgNEU98GkKTlBQEIYNGwZjY2O8fv0aR44cwZ49e0qdKxQK8csvvyAoKKjcoh4A3Nzc4OzsDA8PDzRp0qTU8ZEjR+Ls2bPw9fVFnz59UFhYiNatW+P333/HnDlzpBs+AcCCBQugq6uL1atX49GjRzAwMEDv3r1x9uxZaGlpAfj0ZkNbWxtz587F8+fPoampidatWyMwMBDjx4+vhn+lT/755x8YGRnJ3NemTRvcu3cPK1euxMuXL3HixAmZ41u3bkX79u2xcuVKeHl5VVuWmpKbm4MtmzYg43U69GvXxkCrwZg+cw7U1NXZjlYpQ62H4V1mJrZt8cfbt2/Qpq0ZtgUE8qqTQWZmJpYs8sDbN2+gq6eH1qZtsC0gED169WY7WqUow+8CUI7rSE6+jUkuE6S3161ZBQCw+fkX+KysmSl9NUEZfheAclwH367h4F/7AACzprjI3L/QewWGjbBlIZFi8XmaTE0RMGz3TSQqr6ZG6hVNXcT/2WwSJflzIKS/9oQQDssu+MB2hGpRX4+9QbKsgo819r3raIlq7HvXJKUaqSeEEEIIIcqPz60nawr/hxZVzNSpU0v1l//8VbIlJSGEEEIIUQ00/YZnMjIykJ2dXeYxfX191K9fX8GJvh1Nv+EOmn5DCCE1j6bffLvswpqrHfRr8fP1nKbf8Ez9+vV5WbgTQgghhJCaQ0U9IYQQQgjhFfo8tjQq6gkhhBBCCL9QVV8KPycNEUIIIYQQQqRopJ4QQgghhPAKtbQsjUbqCSGEEEII4TkaqSeEEEIIIbxCnYtLo5F6QgghhBBCeI5G6gkhhBBCCK/QQH1pNFJPCCGEEEIIz9FIPSGEEEII4Rcaqi+FRuoJIYQQQgivCGrwf1WxdetWNG/eHLVq1YKFhQWuXLlSzVf8dVTUE0IIIYQQUkX79u2Du7s7vL29cf36dXTq1AlDhgxBRkaGQnMIGIZhFPoTCSkhp0jCdoRqoS7i/3tkiZL8ORBSrzNCCIdlF3xgO0K1qK+nztrPLhTX3PeuVcnJ6RYWFujWrRu2bNkCAJBIJGjSpAlmzpwJT0/PGkhYNv5XIYQQQgghhFSToqIiZGdny3wVFRWVeW5xcTGuXbsGKysr6X1CoRBWVla4dOmSoiJ/whCi5AoLCxlvb2+msLCQ7ShVpgzXwDB0HVyiDNfAMMpxHcpwDQxD18ElynANbPL29mYAyHx5e3uXee7Lly8ZAEx8fLzM/fPnz2e6d++ugLT/H02/IUovOzsbtWvXxvv376Gvr892nCpRhmsA6Dq4RBmuAVCO61CGawDoOrhEGa6BTUVFRaVG5jU1NaGpqVnq3FevXqFRo0aIj49Hz549pfcvWLAAsbGxuHz5co3n/YxaWhJCCCGEEPJ/yivgy2JoaAiRSITXr1/L3P/69Ws0bNiwJuKVi+bUE0IIIYQQUgUaGhro0qULTp8+Lb1PIpHg9OnTMiP3ikAj9YQQQgghhFSRu7s7nJyc0LVrV3Tv3h0bN25EXl4eXFxcFJqDinqi9DQ1NeHt7S33R2lcpAzXANB1cIkyXAOgHNehDNcA0HVwiTJcA5+MGjUKb968gZeXF9LT0/H999/jn3/+QYMGDRSagxbKEkIIIYQQwnM0p54QQgghhBCeo6KeEEIIIYQQnqOinhBCCCGEEJ6jop4QQgghhBCeo6KeEEIIIZXy6tUrtiMQAMuXL0d+fj7bMQhHUFFPlMrEiRORk5PDdoxvFh4eXmqLamVUUFDAdgSVkZqaCr43Oxs4cCCysrLYjkEAtG/fHnv27GE7Ro1jGAYZGRlsxyjXsmXLkJuby3YMwhHU0pIoFZFIhLS0NNSvX5/tKN9EWa6jPEVFRdiyZQvWrl2L9PR0tuOUa/ny5XKd5+XlVcNJvp0yPKaEQiHS09N5fQ3Apzft8pgwYUINJ6m6bdu2wcPDA0OHDkVAQAAMDAzYjlQl2traePbsGerVqwcAGD58OAIDA2FkZAQAeP36NYyNjfHx40c2Y5ZLWZ4TpHpQUU+UirL8gVOG6ygqKsLSpUtx8uRJaGhoYMGCBbC1tUVISAh+//13iEQizJgxAx4eHmxHLVfnzp3LPSYQCHD//n0UFhZy9gX/S8rwmFKGawA+XYeuri7U1NTK/fREIBAgMzNTwckq58mTJ3B1dcWdO3ewc+dOjBgxgu1IlVbyMaWnp4fExES0aNECwKei3sjICBKJhM2Y5RIKhXj9+rX0TQlRbbSjLFE6OTk5qFWrVoXn6OvrKyhN1QkEArYjfBMvLy8EBATAysoK8fHxsLe3h4uLCxISEuDn5wd7e3uIRCK2Y1boxo0bZd5/8+ZNeHp64vbt2/jtt98UnKrq+P6YAoA7d+589dMdc3NzBaWpGjMzM7x+/Rrjxo3DxIkTOZ+3PCYmJjhz5gy2bNkCOzs7mJmZQU1Ntqy4fv06S+mqD9efN6ampl/NyPU3iKR6UFFPlI6pqWm5xxiGgUAg4MXIqqWlZakXyJK4/IIZFRWF8PBw2NjY4Pbt2zA3N4dYLEZiYiLnXyTL8+TJEyxZsgT79u2DnZ0dkpOT0bp1a7ZjyW3JkiXQ1tau8Bw/Pz8FpakaS0vLMke3BQIBb57fycnJuHz5MoKDg9G3b1+0atUKrq6uGDt2LC8GHL707NkzREdHo27duvj555+/+jeLVL9ly5ahdu3abMcgHEDPPqJ0/vrrL97O7/zSkCFDoKury3aMKnvx4gW6dOkCAOjQoQM0NTXh5ubGy4L+7du3WLZsGf744w/8+OOPiI+PR7du3diOVWm3bt2ChoZGucf58Lu5fPmyUkw1sLCwgIWFBTZu3IioqCiEhIRg3rx5sLW1RXBwMDQ1NdmO+FU7d+7E3LlzYWVlheTkZF7+XgQCgczjvuRtPhg9ejTvp6SR6kFz6olSUaY5t3y/DpFIhPT0dOkLvZ6eHpKSkmBiYsJyMvnl5eVh3bp18PPzQ6tWrbBq1SoMHjyY7VhVogyPKWW4hvLExcXB29sbcXFxePv2LerWrct2pAoNHToUV65cwcaNGzm9oPdrhEIhateuLS3ks7KyoK+vD6HwU3NAhmGQnZ3N2U9/lGEBPKk+NFJPCAfxbaSoLAzDwNnZWTriWFhYiKlTp0JHR0fmvOjoaDbiyaVly5bIycnBzJkz4ejoCIFAgKSkpFLn8WFOtDI8ppTNy5cvERYWhpCQEOTl5WHcuHHYvn075wt6APj48SOSkpLQuHFjtqN8k5CQELYjfBMalyVfopF6olRMTExw9epVfPfdd2xH+SbyjEhevXoVXbt2VWCqynFxcZHrPC6/qH4erQP+/5ztkrf5MIcbUI5R7gEDBuDAgQOoU6dOmcfT0tLg6+uLLVu2KDZYJUVGRiIkJASxsbEYMmQIXFxcMHz4cM4vHK8MhmHw5s0bXj/eAEAsFiMjIwPGxsZsRynTqVOnYGVlVe5xiUSClStXYvHixQpMRdhCRT1RKl5eXvD09JQuBnz37h0vRr1KevbsGZo2bYq8vDyIRCJoaWlJj928eRNLlizB0aNHeVFM8tmzZ8/kOq9Zs2Y1nOTbhYWFYfTo0byYq12R5ORknD17FhoaGnBwcECdOnXw9u1b+Pr6YseOHWjRogWSk5PZjlkhoVCIpk2bYuzYsWjQoEG5582aNUuBqSqH7/3d5ZWYmIgffviBs9ehoaGByZMnY82aNaUWwd++fRtOTk5IT0/Hy5cvWUpIFIohRIkIhULm9evX0tt6enrMo0ePWExUNampqUyPHj0YoVDIqKurM25ubkxeXh4zfvx4RkNDgxk1ahSTkJDAdsxv9uXvitSs+/fvM5cvX5a579SpU0z//v2Zbt26Mb6+viwlk9+hQ4cYdXV1RiAQMAKBgGnZsiVz5swZxtDQkBkyZAhz7NgxtiPKpVmzZkzz5s0r/DIxMWE7ZoUEAoHM81dXV1fmb216ejojEAjYiFatbt68yQiFQrZjlCshIYFp27Yt06pVK+bChQsMwzDMx48fGR8fH0ZDQ4NxdHRkMjMzWU5JFIXm1BOlwpT44Knkbb6YP38+CgsLsWnTJkRHR2PTpk04f/48LCws8OjRI17MY1Wmkbz//e9/iIiIwIMHDwB8aps6ZswYTk9/KsnDwwMdO3ZE9+7dAXxqzzlixAj06dMH5ubmWLVqFbS1tTFnzhx2g1ZgxYoVmD59Onx8fBAYGAh3d3fMmjULR48e5VU3oqdPn7IdQSFoHUfNs7CwwI0bN+Dp6YkBAwZg8uTJSEhIwPPnzxEREQE7Ozu2IxJFYvtdBSHV6WujR3xhZGTEXLp0iWGYT6PZAoGA2bBhA7uhKklZRvLmz5/PCAQCRk9Pj+nUqRPTqVMnRldXlxEKhcyCBQvYjie3xo0bM/Hx8dLbPj4+TKdOnaS3AwMDZW5zkb6+PpOSksIwDMOIxWJGJBIxJ0+eZDlVzXjx4gXbESokz/ObyyPc8uL6SP1nEomEcXR0ZAQCAaOrq8vcu3eP7UiEBTRST5SKQCCQ7ijL/N8ixtzcXGRnZ8ucx/UNXl6/fi1t/Vi/fn1oa2vD2tqa5VTVj+sjeWFhYdi8eTP8/f0xZcoUqKurAwA+fPiA7du3w8PDA+3bt+dFS7+3b9/KfMJz9uxZjBgxQnq7f//+mDt3LhvR5JaTkyN97n5ea9KiRQuWU1Wv9PR0+Pr6IigoCPn5+WzHKZcy9HcHUGY3qy/dv39fQUmq7tGjR3B2dkZKSgp27NiBkJAQ9O/fHzt27MDPP//MdjyiQFTUE6XCMIzMjrIMw6Bz584yt/nUreTL/65o0yBSM7Zu3YqVK1dixowZMverq6tj1qxZEIvF2LJlCy+KegMDA6SlpaFJkyaQSCS4evUq3N3dpceLi4t5MV3t+PHj0t0zJRIJTp8+jdu3b8ucY2Njw0Y0ub179w7Tpk3DyZMnoaGhAU9PT8yYMQNLly7FunXrYG5uzumuUMD//1v7uZDPzc1F586dZfq788H3339fqrPVZ192uOKqLVu2wNPTE0OGDEF0dDTq1auHSZMmYe3atRg9ejRGjhyJzZs3l9sxiigX6n5DlEpsbKxc5/Xr16+Gk3ybr22I8llmZiYb8eRScvMpfX19JCYmSj+B4MOceh0dHdy6davc0eDHjx+jY8eOyMvLU3Cyyhs7diyys7Oxbds2REVFwdvbG+np6dJ9A/bv34/ly5cjMTGR5aTlK/n4Lwsf3rRPmTIF//zzD+zt7XH8+HHcuXMHQ4YMgVAoxOLFi9GjRw+2I35VWFiYXOc5OTnVcJJvw/cOVwYGBti8eTPGjh1b6lhycjKcnJyQlpZG3W9UBI3UE6UiT7HO5UL4M66P0slDGUbyRCIRiouLyz3+4cMH3vQW9/X1xaBBg9CsWTOIRCL4+/vLbAS2a9cuDBw4kMWEXyeRSNiOUC2OHTuG0NBQDBw4EDNmzECLFi3w/fffY+XKlWxHk9u4ceN489ivCFeLdXklJydLmw+U1L59e1y+fJlXjyvybWiknqiMEydOIDAwEIcPH0ZBQQHbcZSeMozk9e/fH3369IGPj0+ZxxcvXowLFy7g3Llzig1WRWKxGMnJyahXr16pzXQSExPRuHFj3m/cxgdqamp4/vy5tBjT1tbG1atX0a5dO5aTyc/IyAhOTk5wdXVF69at2Y5TrfLy8rBv3z4UFBRg8ODBSnd9RHnRSD1Ras+ePUNwcDDCwsLw7t07WFtbIzw8nO1YcisoKMDJkyelrRTbtGkDKysrmc2ouMrExAS9evWCmhp//8zMmzcPtra2KCoqwty5c6UbBaWnp2P9+vXYuHEjDhw4wHJK+ampqaFTp05lHivvfi6Kiooqs8XoyJEjWU4mH4ZhZJ4XJTeY44Np06YhLCwMa9euRa9eveDq6goHB4dSGyBxXWpqKsaPH4/r16+jR48eCAoKwqBBg5CSkgIA0NLSwrFjx9C3b1+Wk5Zt2LBhiIiIkK4z+e9//4upU6dK59D/+++/6NOnD+7cucNiSqIoNFJPlE5xcTGio6MRGBiIixcvwsrKCseOHcONGzfQsWNHtuPJLSYmBpMmTcLbt29l7jc0NERQUJBM5xIuEolESEtL4/028Zs3b8a8efMgFoulL5zv37+Hmpoa1qxZg9mzZ7OcUD5fLoqtiJ+fXw0nqTqJRAJHR0dERUXB1NQUbdu2BQDcvXsXDx8+hL29PSIiIji9sBH4tDagQ4cO0sI+KSkJbdu2LbUY/vr162zEq5Rz584hJCQE+/fvh0gkgoODAyZNmgQLCwu2o8nFwcEBz58/x4wZMxAZGYkHDx6gZcuWCAoKglAoxH/+8x9kZmbizJkzbEctU8m/s/r6+rh586Z0HRAf1i6R6kNFPVEqM2fOREREBFq3bo1x48Zh9OjR+O6776Curo7ExETefLwdHx+P/v37w8bGBnPnzoWZmRkA4M6dO1i/fj3+/vtvxMbGcnpBnVAoRHp6Ou+LegB48eIFoqKipKN3pqam+PXXX9GkSROWk8lvwIABcp139uzZGk5SdRs2bMCKFSsQFhaGn376SeZYTEwMXFxcsGTJEk5voAUAy5Ytk+s8b2/vGk5SfXJzc7F3716EhoYiPj4eZmZmcHV1lfvNJFsaNmyImJgYdO/eHZmZmTA0NMTFixfRs2dPAJ+mpVlaWpYaXOGKkn9n9fT0kJiYSEW9iqKinigVNTU1eHh4wNPTE3p6etL7+VbUDxs2DE2aNEFAQECZx6dMmYLnz5/j6NGjCk4mP6FQiNevX0u73xDyrczNzTFnzhxMnDixzONBQUHYtGnTV3uPk5p15MgRTJgwAVlZWZwvJoVCIdLS0qRT63R1dZGUlMSbopiKevIl/k52JaQMu3btQnBwMIyMjDB8+HCMHz+el5s2JSQkYPXq1eUenz59OufbcgKAs7MzNDU1KzwnOjpaQWkqLyYmRq7zuN4XXR6PHz/G1KlTceLECbajlCslJQVWVlblHreysiq1pwDXJSUlyawNMDc3ZzlR1eTn5yMyMhIhISG4cOECWrZsifnz57MdSy4lN9Hik7I2/eLbNZDqQ0U9USqOjo5wdHTEkydPEBoaiunTpyM/Px8SiQR37tzhzUh9QUFBhbve1q5dG4WFhQpMVDV6enq8WwD4JVtb26+ew4e+6PLIycnB6dOn2Y5RIS0tLWRlZaFp06ZlHs/OzkatWrUUnKpqrly5AldXV9y5c0fa3lUgEKB9+/YICgpCt27dWE4on/j4eAQHByMqKgpisRgjR46Ej48PZxeWlsXLy0u6wLe4uBi+vr7S9TNc3tUX+LTo+svBk8LCQkydOlXarraoqIjNeETBaPoNUWoMw+DEiRMICgpCTEwMDA0NYWdnB39/f7ajVcjc3Bxubm5wcXEp83hwcDA2btzI6WkGyjSnXhUkJibihx9+4PQblOHDh6Np06bYvn17mcenTp2K1NRUTk9LAz6tjbGwsICZmRnc3Nxk1sxs2LAB9+/fR0JCAqcHIdasWYOQkBA8ePAAXbt2haurKxwdHWWmPfJB//795RrZ5upaE2dnZ7nyK8PeJ+TrqKgnKiMzMxPh4eEIDQ3FzZs32Y5Toc8LAnft2oVhw4bJHDty5AicnJywaNEiTi9Co6KeX/hQ1H9eQG5ra4t58+ahbdu2YBgGd+/exfr163Ho0CGcPXsWvXv3ZjtqhRwcHCAWi7F///5SBRnDMLCzs4O6ujoiIyNZSvh19erVw7hx4+Dq6ooOHTqwHYcQApp+Q1SIgYEB+vTpg1OnTrEd5atmz56N+Ph4/PTTT2jTpg3MzMykxUtKSgpsbW053+FDGcTFxcl1Hp+mGvBZr169sG/fPkyePBn79++XOVa3bl1ERERwvqAHPo36Hjt2rMwRVoFAgEWLFpV6M881r169grq6ernHo6OjsXTpUk5/miiPu3fvIigoCOvWrWM7SpmUpXUwqR40Uk+UzvHjx3Hy5EloaGhg0qRJaNGiBe7duwdPT08cPnwYQ4YM4fzH85/t27cPe/bskWmlOHr0aIwePZrlZF8nFAqRmpqKxo0bsx2lyoRCYbnHPhdkAoEAYrFYUZGqrHPnzhV+TJ+fn4+UlBROj9R/lp+fj+PHj8s8LwYPHsybjY9q1aqFlJSUcluiPn/+HK1bt+b8upmAgADp39rZs2fDwsICZ86cwdy5c/HgwQNMmDCh3KlSXJaXl4e9e/ciKChIOg3q9u3bbMcqE30iSr5EI/VEqQQFBeG3336DgYEB3r17h8DAQPj5+WHmzJkYNWoUbt++LZ2/ygejRo3CqFGj2I5RZSU30+Gbd+/elXl/fn4+Nm3aBH9/f2nrOK6TZ9EvHzAMg5cvX8LU1BQjRozg5Y7FzZo1w5UrV8ot6i9fvoxmzZopOFXl/Pe//4WXlxfMzc1x7949HDp0CL///js2b96M2bNnY8qUKahbty7bMSvl4sWLCAoKQmRkJAoKCuDm5obg4GDpJmeEcB3//hoSUoFNmzZh9erVmD9/Pvbv3w97e3ts27YNt27d4tWIsUQiwdq1axETE4Pi4mJYWlrC29ub151k+OhzB4zPJBIJgoODsWzZMgiFQmzduhVOTk4spaucym5kdPHiRXTt2vWrLUkV6cmTJ7CxsZFued+4cWPs378fXbt2ZTlZ5YwePRru7u5o06ZNqfnot27dwrx58zBhwgSW0sknJCQEO3fuhJOTE86fP49+/fohPj4eDx8+lHZe4YOMjAyEhoYiODgY79+/h6OjI86dO4eePXti4sSJvCjoAwMDoaurW+E5s2bNUlAawiaafkOUio6ODpKTk9G8eXMwDANNTU1eLJwrycfHB0uXLoWVlRW0tLRw/PhxODo6Ijg4mO1ochMKhVixYoXSvNhER0dj0aJFePPmDRYuXIiZM2dyquCtbiW3m+eCkSNHIjk5GV5eXqhVqxbWrVuHgoICXL9+ne1olVJYWAhLS0tcvnwZgwYNklkzc+rUKXTv3h1nzpzhdHtOLS0tPHjwQPppg6amJuLj49GlSxeWk1WOlpYWRo4ciXHjxmHQoEHSKXd82bBQKBSicePGEIlE5Z4jEAjw+PFjBaYibKGiniiVr+2uxxetW7fGvHnzMGXKFADAqVOnMHz4cBQUFFQ4z5tLlOXFJjY2Fh4eHrh16xZmz54NDw+PUiP4yoiLz52GDRvir7/+wo8//ggASEtLQ+PGjZGdnc2r0WHgUz/0DRs2ICIiQmbzqdGjR8PNzY3zbxhL7hitp6eHpKQkmJiYsJysctq2bYuioiKMGTMG48ePl47M86mopzn15DOafkOUzpcfRYrFYoSGhsLQ0FDmHK6PDqempsp0v7CysoJAIMCrV694NY3o6tWrvH6xGTZsGE6dOoWJEyfi4MGDaNiwIduRVFpGRgZat24tvW1kZAQtLS1kZGTwrpjU0NCAh4cHPDw82I5SZUuWLJHZtGnFihWl3vD6+fmxEU1u9+7dk86l79atG0xNTTFu3DgA/NiZlQ8ZieLQSD1RKs2bN//qHzk+jA6LRCKkp6dLR8EA/o2EKUOrNaFQCDU1Nejo6FT4uMrMzFRgKsXg4ki9SCTCgwcPZJ4XjRs3xoULF9C8eXPpfRXtxswFwcHBGDt2LOdH4ysiz6ZNAoEAZ86cUVCib5ebm4uIiAiEhIQgISEB/fr1w5gxY2BrayvzmOMSGqknX6KinhAOEgqFsLa2lnnRP3z4MAYOHCgzzSA6OpqNeHJRhhebsLAwuc7jy2LZyuBiUS8UCsvcrOnzfZ//m+ttOUu+4TU2NkZ8fLzMGxOiGMuXL8e8efNKtUP93J9+165dyMzMxIcPH1hKWLFly5Zh/vz5crdznTZtGpYvX17q02uiHKioJ0pHIpEgNDQU0dHRePr0KQQCAVq0aIFff/0V48eP58XHlS4uLnKdx+Wtvyv7YkO4hYsLZWNjY+U6r1+/fjWc5Nsoy9ofZfC1TxTFYjFiYmJgZ2en4GQ1g4vPa1J9aE49USoMw2DEiBE4duwYOnXqhI4dO0q7Sjg7OyM6OhoHDx5kO+ZXcblYl5eWlpbMG6iSLRJzcnLg4eGBbdu2sRVRpaSmpqJJkyZyv6nl4ngP14t1VVJekVu7dm2Ymppi0qRJnJ2y8qWvPc7V1NSUpqAHuPm8JtWHH200CJFTaGgozp8/j9OnT+PGjRuIiIjA3r17kZiYiFOnTuHMmTMIDw9nO2a1yMjIYDtChRYuXIicnBzpbWtra7x8+VJ6Oz8/HwEBAWxEk1vdunVhYGDw1S8+MDExwZs3b+Q+Pycnh3OjeZGRkSguLpbefvHiBSQSifR2fn4+1qxZw0a0ShEIBDJvrkre5oPatWuX+ZWVlYWdO3eiTZs2nN2FtSS+/dsTUh6afkOUyuDBgzFw4EB4enqWeXzlypWIjY3F8ePHFZyscrS1tfHs2TPpSNfw4cMRGBgIIyMjAMDr169hbGzM6bnDX5tiwIdrUKY59cqwxqHkVImSUwn48JgCPv0uateuLS0ms7KyoK+vX6pdLV8XYEskEvz222/IyMjA4cOH2Y5ToZK/i/Lw9XdREk31Um40/YYolaSkpApH6qytreHv76/ARFVTWFgo8zFpXFwcCgoKZM6h9+M1jw/FemXwfUSy5GOer88BZZheVxGhUIhZs2bB2tqa7ShyWbZsmUrsPUGUHxX1RKlkZmaiQYMG5R5v0KAB3r17p8BENYfvBRpf7Nu3DzExMSguLoalpSWmTp3KdqQq+7KveHm43ldcGVT2zWJERARsbGx4tcGWjo4O8vPz2Y4hl9GjR/P6EyxCPqOiniiVjx8/Qk2t/Ie1SCSCWCxWYCLVVtFGYF/Ot+eq7du3Y/r06WjdujW0tLQQHR2NR48eYe3atWxHq5Jbt25BQ0Oj3OP0RpGbpkyZAgsLC15NmTh58iRMTU3ZjvFVqvaYHzduHOf3cSBVR0U9USoMw8DZ2bncTV2KiooUnKhqlGEhXdOmTbFz507p7YYNG2LXrl0y5zRr1kzRsSply5Yt8Pb2hre3NwBg9+7dmDJlCm+L+gMHDvB+RPL48ePSqRISiQSnT5+WLsjMyspiMVnN4eI0o5iYmDLvf//+Pa5du4bAwEAEBgYqOFXlVfbf9sWLFzA2Ni61/oEtb9++RV5enszf0uTkZKxbtw55eXmwtbXFmDFjpMe2b9/ORkyiILRQligVZejvDnx9IR3DMMjOzub8gsCKvHjxAsuXL8cff/zBdpRyaWlp4e7du9JNgSQSCbS0tPD06VPpomW+UJYdfuXxZUccZcDFxY3l/S709PTQpk0buLu7Y/To0QpOVfO41ufd0dERxsbGWL9+PYBPXdHatm0LY2NjtGzZEseOHUNQUBDGjx/PclKiCDRST5QK14t1eSnLdVTk33//RVBQEKeL+qKiIpl5zEKhEBoaGqUWLfOBMozfyFOs82UeN98p2xsneXHteZSQkIDQ0FDp7fDwcBgYGODmzZtQU1PDunXrsHXrVirqVQQV9YRwkLJ1XeGzkotLi4uL4evrK9Mtgw+LS0NCQpS6w0dRURG2bt2KNWvWID09ne04Su/SpUv4999/8dNPP0nvCw8Ph7e3t3Tax+bNm8udCkmqR3p6uvSTRAA4c+YM7OzspGvLbGxssGrVKpbSEUWjop4QHkpLS4Ovry+2bNnCdhSl1rdvX9y/f1/mvl69euHx48fS23xZ62BiYoLLly9/9by+ffsqIE3VFBUVYenSpTh58iQ0NDSwYMEC2NraIjg4GIsXL4ZIJIKbmxvbMVXCsmXLMGDAAGlRf+vWLbi6usLZ2RlmZmZYu3YtjI2NsXTpUnaDKjl9fX1kZWVJ59RfuXIFrq6u0uMCgYA3a8nIt6OinhCOSk5OxtmzZ6GhoQEHBwfUqVMHb9++ha+vL3bs2MGZOZ3K7Ny5czK33759CwDSDj580r9/fwgEgjKnD3x+YyIQCDjdHcrLywsBAQGwsrJCfHw87O3t4eLigoSEBPj5+cHe3h4ikYjtmNWuWbNmUFdXZzuGjMTERKxYsUJ6e+/evbCwsJAujm/SpAm8vb2pqK9hPXr0gL+/P3bu3Ino6Gjk5ORg4MCB0uMPHjxAkyZNWExIFImKekI4KCYmBiNHjpQWWGvWrMHOnTvh4OCALl264MCBAxg6dCjLKStmZ2dX4XG+dCrJysrC77//jn379kn3OKhbty5Gjx6NFStWoE6dOuwGlFN5+zPk5+dj06ZN8Pf35/wbxaioKISHh8PGxga3b9+Gubk5xGIxEhMTefOJCfBpNLVLly7lvgEpKirCoUOH4ODgAADS7j5c8u7dO5k9QWJjY2U2m+rWrRueP3/ORrQaxbXHmY+PDywtLbF7926IxWIsWrQIdevWlR7fu3cv+vXrx2JCokjU/YYQDurevTt69+4NHx8fBAYGwt3dHe3bt0dwcDC6devGdjy5KEMnoszMTPTs2RMvX77E2LFjYWZmBgC4c+cO9uzZgyZNmiA+Pl7mRZQvJBIJgoODsWzZMgiFQixduhROTk6cadVXFg0NDTx58gSNGjUC8Kk70ZUrV9CxY0eWk1VOyU5EJTuqvH79GsbGxpzubtWsWTPs2rULffv2RXFxMerUqYPDhw/D0tISwKfpOP369UNmZibLSasXFzsRvX37FhcvXkTDhg1hYWEhc+zIkSNo164dTExMWEpHFIohhHCOvr4+k5KSwjAMw4jFYkYkEjEnT55kOZXqmT17NtOhQwcmPT291LG0tDSmY8eOzJw5c1hI9m3279/PtGnThjEwMGDWrl3LFBYWsh1JLkKhkMnIyJDe1tXVZR4/fsxioqoRCATM69evpbd1dXWZR48eSW+np6czAoGAjWhymzp1KtOzZ08mLi6OcXd3Z7777jumqKhIenz37t1M165dWUwoH7FYzCQmJjL5+fmljuXl5TGJiYnMx48fpfelpqYyYrFYkREJkRtNvyGEg3JycqS7/olEImhpaXFqZEhVHDx4EAEBATLTDD5r2LAh1qxZg6lTp2LDhg0spKu82NhYeHh44NatW5g9ezY8PDx41RGHKbG5XGFhIaZOnSrTdhQAoqOj2YhXrbg2zaMkHx8f2NnZoV+/ftDV1UVYWJjMbsXBwcEYPHgwiwnls2vXLmzZsqXMReQaGhqYOHEi5syZg3HjxgEA5+anu7u7l3l/7dq1YWpqCjs7O+pApEKoqCeEoyraOfMzGxsbNqKpjLS0NLRv377c4x06dOBN+8Rhw4bh1KlTmDhxIg4ePIiGDRuyHanSSrZ6/VxoEcUzNDREXFwc3r9/D11d3VLrA6KioqCrq8tSOvkFBQVh3rx5Za5vUFNTw4IFC7BlyxbOPtZu3LhR5v1ZWVl4+PAhlixZgjNnzqBp06YKTkbYQHPqCeEgeeY1CwQCTs+5VQaNGjXCvn378OOPP5Z5/Pz58xg1ahRevXql4GSVJxQKoaamBh0dnQpHgZVtDjQXCYVCnDlzBgYGBgA+tUmNjIxE48aNAXyaIz1o0CB6fitA/fr1ceXKFZle71968uQJunfvjjdv3ig2WDXIzs7G2LFjoaenhz179rAdhygAjdQTwkGqulsj1wwZMgS///67tC/6l4qKirBkyRLOdyH6jMsLklWRpaWlTHvRz/3eP7cd5fr0G2WRl5eH7Ozsco/n5OTwdpdifX19LFmyBPb29mxHIQpCRT0hSmD48OEIDAyEkZER21GUyvLly9G1a1e0bt0a06dPR9u2bcEwDO7evYtt27ahqKgIu3btYjumXGiXYu548uQJ2xHI/2ndujXi4+Nhbm5e5vELFy6gdevWCk5VfQwNDenTNxVCRT0hSiAuLg4FBQVsx1A6jRs3xqVLlzBt2jQsXLhQOrIqEAgwaNAgbNmyhXML58pT2d7opOZ83v2TsG/MmDFYvHgxevXqVaqwT0xMhJeXFxYsWMBSum+XkJCAli1bsh2DKAjNqSdECXCxd7KyeffuHVJSUgAArVq1ks6H5gtl6I2uLN6+fYu8vDyZ4j45ORnr1q1DXl4ebG1tMWbMGBYTqo4PHz5g8ODBuHDhAqysrNC2bVsAwL1793Dq1Cn07t0bJ0+e5NyOvp8lJSWVef/79+9x7do1rFy5Et7e3pg+fbqCkxE20Eg9IYTIoW7duujevTvbMaqs5PhNWeM5NMajGDNnzoSxsTHWr18PAMjIyECfPn1gbGyMli1bwtnZGR8/fsT48eNZTqr81NXVceLECWzYsAF79uxBXFwcGIaBqakpfH19MWfOHM4W9ADw/fffS9dhlGRoaAh3d3dMmzaNhWSEDVTUE0IIAcD93ujKIiEhAaGhodLb4eHhMDAwwM2bN6GmpoZ169Zh69atVNQriLq6OhYsWMDLaTblrc/Q19fn5U7X5NtQUU8IIYQoUHp6ukwLxTNnzsDOzg5qap9ekm1sbLBq1SqW0hE+ofUZ5EtU1BNCiIq4c+eOdLMshmFw79495ObmAvg0z5sohr6+PrKysqQF2ZUrV+Dq6io9LhAIUFRUxFY8lVK3bl25PqHiegeZqKgoRERE4MGDBwAAU1NTjBkzBiNHjmQ5GVEkKuoJ4aGMjAwEBgZi0aJFAIBFixbxbuEmUTzqjc4NPXr0gL+/P3bu3Ino6Gjk5ORg4MCB0uMPHjzgTVclvtu4cSPbEb6JRCKBo6MjoqKiYGpqKl3om5ycjFGjRsHe3h4RERH03FYR1P2GEB5KTEzEDz/8QJ1KiNyePXsm13n0cX7NS0pKgqWlJbKzsyEWi7Fo0SL4+PhIj48fPx46OjrYsWMHiylVQ1xcHHr16iWd+sQ3GzZswIoVKxAWFiZ9k/5ZTEwMXFxcsGTJEsyZM4edgEShqKgnhIeoqCeE396+fYuLFy+iYcOGsLCwkDl25MgRtGvXDiYmJiylUx0lW73yjbm5OebMmYOJEyeWeTwoKAibNm0qt/UlUS5U1BPCQ1TUk8qS90W9vJ01CVFGQqEQ6enpvC3qtbS0cP/+fTRt2rTM48+ePUPbtm1pc0IVwc/PmwghhFRKRf2sPxMIBPRGUQHCw8PlOm/ChAk1nIQA/G7lqqWlhaysrHKL+uzsbNSqVUvBqQhbaKSeEA5yd3ev8PibN2+wZ88eKsCI3GhOPXdU1D9cIBAgLy8PYrGYnt8KIBQKYW1tDU1NzQrPi46OVlCiyhk+fDiaNm2K7du3l3l86tSpSE1NxdGjRxWcjLCBRuoJ4aAbN2589Zy+ffsqIAlRFlSsc8e7d+/KvD8tLQ3Lli1DcHAwBg0apOBUqktPTw9aWlpsx6iS33//Hf3798e///6LefPmoW3btmAYBnfv3sX69etx6NAhnD17lu2YREFopJ4QQlRAXl4e5s2bh5iYGBQXF8PS0hKbN29GvXr12I6m8nJycrB69Wps2rQJ7du3x6pVqzBgwAC2Y6kEvs+pB4ADBw5g8uTJpXrp161bFwEBAfj1119ZSkYUjYp6Qnjo7t27CAoKwrp169iOQnjC3d0df/zxB8aOHYtatWohIiICvXv3xoEDB9iOprI+fPiAzZs3Y+XKlfjuu+/g6+tLmwUpGN+733yWn5+P48ePIyUlBcCnzacGDx4MbW1tlpMRRaKinhCeyMvLw969exEUFISEhAS0a9cOt2/fZjsW4QkTExOsWbMG9vb2AIBr166hR48eKCgo4G2Pbr5iGAbh4eHw8vKCWCyGt7c3XF1dIRKJ2I6mcpRhpJ6Qz6ioJ4TjLl68iKCgIERGRqKgoABubm6YNGmSdOdAQuShrq6OZ8+ewdjYWHqftrY27t27V27nDFIzOnbsiMePH2PmzJmYM2dOuaOp+vr6Ck6memJjY9GrVy88ffoUxcXFaNOmDa/e5Pr7+8t13qxZs2o4CeECKuoJ4aCMjAyEhoYiODgY79+/h6OjI8aMGYOePXsiMTER7dq1Yzsi4RmRSIT09HSZOfT6+vpITEykTY4UTCgUSv+7rHaKDMNQe1EFefLkCWxsbHDnzh0AQOPGjbF//3507dqV5WTykee5KxAI8PjxYwWkIWzjz9tRQlRIs2bNMHLkSGzatAmDBg2SKQIIqQqGYWBpaSkzCpmfn48RI0ZAQ0NDet/169fZiKdSqBsJd8yfPx9isRi7d+9GrVq1sG7dOkyZMgXXrl1jO5pcnjx5wnYEwiFU1BPCQc2aNcOFCxfQtGlTNGvWjKbakG/m7e1d6r6ff/6ZhSSkX79+bEcg/+fChQv466+/8OOPPwIAevTogcaNGyMvLw86Ojosp6seL1++RKNGjdiOQRSAinpCOOjevXvSufTdunWDqakpxo0bB4Dfux8S9pRV1BN2vXz5Evv378eDBw8AAG3atIGdnR0VYAqUkZGB1q1bS28bGRlBS0sLGRkZvJ+Wlp6eDl9fXwQFBSE/P5/tOEQB6DN9Qjiqd+/eCA4ORlpaGqZOnYqoqCh8/PgR06ZNw86dO/HmzRu2IxJCqmjbtm1o2bIl5syZg927d2P37t2YPXs2WrZsiW3btrEdT2UIBALk5uYiOztb+iUUCpGTkyNzH1e9e/cOjo6OMDQ0hLGxMfz9/SGRSODl5YUWLVrgf//7H0JCQtiOSRSEFsoSwiOf+9Pv2rULmZmZ+PDhA9uRCE907txZrk95aE59zTty5Ah+/vlnzJkzB3PnzoWRkRGATzvKrl27Fps3b8ahQ4cwbNgwlpMqP6FQWOp58Xmh8pf/zdVFy1OmTME///wDe3t7HD9+HHfu3MGQIUMgFAqxePFi9OjRg+2IRIGoqCeEhz58+IDDhw/Dzs6O7SiEJ5YtWybXeTRNp+b1798fP/74I1asWFHm8cWLF+PChQs4d+6cYoOpoNjYWLnO4+o6iKZNmyI0NBQDBw7E06dP0aJFC3h6emLlypVsRyMsoKKeEEIIUSB9fX3873//Q5s2bco8fv/+fXTr1o3T0z4IN6ipqeH58+fST3u0tbVx9epVanusomihLCEcVNZHwiUJBAKIxWIFJSJ8V1hYiBMnTmDAgAHQ09OTOZadnY1z585hyJAh0NTUZCmh6vj48SPU1dXLPa6urs7Z6R7Kiq+LlhmGkWlTKxKJoKWlxWIiwiYq6gnhoAMHDpR77NKlS9LFUITIKyAgADExMbCxsSl1TF9fH/7+/khNTcWMGTNYSKda2rdvj0OHDsHNza3M4wcPHkT79u0VnEp1bdu2De7u7iguLpbu4pudnY358+fDz88P06ZNYzlh+UruP1FQUFBq7wmA1sqoCirqCeGgsvqH379/H56enjh8+DDGjh2L5cuXs5CM8NWff/6JJUuWlHt8zpw5WL58ORX1CjB9+nT85z//gaamJiZPniwtyMRiMQICArB48WLqgKMgR44cwaxZs8pdtDx79mw0b96cs4uWS66Bob0nVBvNqSeE4169egVvb2+EhYVhyJAhWLVqFTp06MB2LMIzdevWRWJiIpo2bVrm8dTUVHTq1Anv3r1TcDLVNG/ePPj5+UFPTw8tW7YEwzB4/PgxcnNzMWvWLGzYsIHtiCqBFi0TZUJ96gnhqPfv38PDwwOtWrVCcnIyTp8+jcOHD1NBT6pELBZXuLfBmzdvaI2GAq1btw7x8fFwdnZGw4YNYWRkBBcXF1y8eJEKegW6fv06xo8fX+7x8ePH83bqSnZ2NrZv346uXbuyHYUoCE2/IYSD1qxZg9WrV6Nhw4aIiIigj1TJN2vfvj1OnTqFLl26lHn8xIkTNI9bwXr06EF9xFmmjIuWz549i+DgYERHR6N27dr45Zdf2I5EFISm3xDCQUKhEFpaWrCysoJIJCr3vOjoaAWmInz2xx9/wN3dHXv37sVPP/0kc+zw4cNwdHSEn58fJk+ezFJC1ZGXl4d58+YhJiYGxcXFsLS0xObNm1GvXj22o6mc7t27w9HRsdxFy35+fti7dy+uXLmi4GSV8/LlS4SGhiIkJARZWVl49+4d9uzZAwcHB7k2nSPKgUbqCeGgCRMm0B9iUq0mT56MuLg42NjYoG3bttIe6ffu3cODBw/g4OBABb2CLFmyBLt27cLYsWNRq1YtREREYPLkyRV2vSI1g++Llvfv34+goCDExcXB2toa69evh7W1NXR0dNCxY0d6HVExNFJPCCEqJDIyEnv27EFKSgoYhoGpqSnGjBkDBwcHtqOpDBMTE6xZswb29vYAgGvXrqFHjx4oKCiQ6TlOFIPPi5bV1NTg4eEBT09Pmf0n1NXVkZiYSJtQqRgq6gkhhBAFUldXx7Nnz2BsbCy9T1tbG/fu3Su3OxGpWQkJCYiIiEBKSgoAwNTUFKNHj+b8mocpU6Zg3759aN++PcaPH49Ro0ahbt26VNSrKCrqCeEgOzs7uc6jOfVEXpGRkbC1tZVuSvPixQsYGxtDKPzUBC0/Px9btmzBggUL2IypEkQiEdLT02Xm0Ovr6yMxMREmJiYsJiN8VFBQgMjISAQHB+Py5csYMmQIjhw5gps3b1K3NBVDRT0hHOTi4iLXeSEhITWchCgLkUiEtLQ01K9fH8CnIvLmzZto0aIFAOD169cwNjbmXacPPhIKhejQoYPMVJukpCS0bdtWZidQvrZS5JPU1FS5zuPqJyi3b9+WKdxTUlIQHByM8PBw5ObmYvjw4Rg5cqTcA0WE36ioJ4SDHj9+jObNm0tHUQn5VkKhEOnp6dKiXk9PD4mJiVTUs2DZsmVynVdyt1BS/YRCYZmLSRmGkd4vEAg4u4eDUChEt27dMGnSJDg6OkJXVxcAIJFIcOTIEQQFBeHYsWMoKipiOSlRBCrqCeGgkqOqo0aNgr+/Pxo0aMByMsJXVNQTUlpiYmKZ9zMMg71798Lf3x+6urrIyMhQcDL5nD9/HiEhIfjrr78gkUjw66+/YtKkSejTp4/0nIyMDOnznig3GgYkhINKvtc+evQo8vLyWEpDCFGE2NhYHD16FO/evWM7isro1KlTqa83b95g0qRJ2LZtGxYsWIBHjx6xHbNcffr0QXBwMNLS0rB582Y8ffoU/fr1g6mpKVavXi3zRp4oP+qdRQghKuL48eOoXbs2gE8fz58+fRq3b98GAGRlZbGYTLWsXr0aubm58PHxAfDpTby1tTVOnDgBAKhfvz5Onz5NO/wq2PXr1+Hh4YHz589j0qRJOHr0KG8KYh0dHbi4uMDFxQUPHz5ESEgItm7diiVLlmDo0KGIiYlhOyJRAJp+QwgHleyOoaenh6SkJOqMQapM3vUZEomkhpOQH374AR4eHhg1ahQAICoqCk5OTjh58iTMzMwwYcIEaGtrIzIykuWkquHRo0dYtGgR9u/fDwcHB6xYsUI6LY2v8vLy8Oeff2LhwoXIysqiaXUqgkbqCeEghmHg7OwMTU1NAEBhYSGmTp0KHR0dmfOopSWRlzzFen5+vgKSkCdPnsDc3Fx6++jRoxg5ciR69+4NAFi8eLF0YypSs6ZNm4agoCAMGDAAV69exffff892pG8SFxeH4OBg7N+/H0KhEA4ODnB1dWU7FlEQKuoJ4SAnJyeZ2+PGjWMpCVEFRUVF2Lp1K9asWYP09HS24yg9sVgsfcMOAJcuXcKcOXOkt42NjfH27VsWkqmeHTt2oFatWsjIyMDEiRPLPY/L7UVfvXqF0NBQhIaG4uHDh+jVqxf8/f3h4OBQaiCIKDcq6gnhIOo/T6pbUVERli5dipMnT0JDQwMLFiyAra0tgoODsXjxYohEIri5ubEdUyW0bNkScXFxaNGiBVJTU/HgwQP07dtXevzFixf47rvvWEyoOry8vMpsackX1tbWOHXqFAwNDTFhwgRMnDgRbdq0YTsWYQkV9YQQogK8vLwQEBAAKysrxMfHw97eHi4uLkhISICfnx/s7e0hEonYjqkSpk+fjhkzZuD8+fNISEhAz5490a5dO+nxM2fOoHPnziwmVB3e3t68LurV1dXx119/4aeffqLnL6GinhBCVEFUVBTCw8NhY2OD27dvw9zcHGKxGImJibwuavjot99+g0gkwuHDh9G3b99Sm0y9evVK7l2lybfp3bs3wsPD0apVK7ajVAl1tSFfou43hBCiAjQ0NPDkyRM0atQIAKClpYUrV66gY8eOLCcjhD0ODg44evQoVq9ejenTp7Mdh5BvQptPEUKICvj48SM0NDSkt9XU1KRbyhPFioyMRHFxsfT2ixcvZLoT5efnY82aNWxEUzmRkZEICQnB8uXLMWjQILx48YLtSIRUGY3UE0KIChAKhbC2tpZ2XTl8+DAGDhxIbVJZIBKJkJaWJt3YSF9fHzdv3pT2Rn/9+jWMjY2pt7gCvXnzBtOnT8fJkycxfvx4qKnJzk728/NjKRkh8qM59YQQogKoTSp3lBxLo7E19hkYGMDMzAwHDhzAjRs3ZIp6WnNC+IKKekIIUQHUJpWQsiUnJ2PChAnIzMzEiRMnMGDAALYjEVIlNKeeEEIIISpp1apV6NKlCzp16oSkpCQq6Amv0Ug9IYQQomDHjx9H7dq1AQASiQSnT5/G7du3AQBZWVksJlMt/v7+0j7vhPAdLZQlhBBCFEgolO9D8i874pCaERcXh+zsbJmiPjw8HN7e3sjLy4OtrS02b94sXWBOCJfR9BtCCCFEgSQSyVe/cnNz2Y6pElatWoXk5GTp7Vu3bsHV1RVWVlbw9PTE4cOHsWrVKhYTEiI/KuoJIYQQjigqKoKfn5+0vSWpWTdv3oSlpaX09t69e2FhYYGdO3fC3d0d/v7+iIyMZDEhIfKjop4QQghRoKKiIixcuBBdu3ZFr169cPDgQQBAcHAwTExMsGHDBri5ubEbUkW8e/cODRo0kN6OjY2FtbW19Ha3bt3w/PlzNqIRUmlU1BNCCCEK5OXlhe3bt6N58+Z4+vQp7O3tMXnyZGzcuBF+fn54+vQpPDw82I6pEho0aIAnT54AAIqLi3H9+nX06NFDejwnJwfq6upsxSOkUqj7DSGEEKJAUVFRCA8Ph42NDW7fvg1zc3OIxWIkJibSRkcKNmzYMHh6emL16tU4ePAgtLW10adPH+nxpKQktGzZksWEhMiPut8QQgghCqShoYEnT56gUaNGAAAtLS1cuXIFHTt2ZDmZ6nn79i3s7Oxw4cIF6OrqIiwsDL/88ov0uKWlJXr06AFfX18WUxIiHyrqCSGEEAUSiURIT09HvXr1AAB6enpISkqCiYkJy8lU1/v376GrqwuRSCRzf2ZmJnR1daGhocFSMkLkR0U9IYQQokBCoRDW1tbS3ueHDx/GwIEDoaOjI3NedHQ0G/EIITxFc+oJIYQQBXJycpK5PW7cOJaSEEKUCY3UE0IIIYQQwnPU0pIQQgghhBCeo6KeEEIIIYQQnqOinhBCCCGEEJ6jop4QQgghhBCeo6KeEEJItXB2doatra30dv/+/TFnzhyF5zh37hwEAgGysrIU/rMJIYQtVNQTQoiSc3Z2hkAggEAggIaGBlq1aoXly5dDLBbX6M+Njo6Gj4+PXOdSIU4IId+G+tQTQogKGDp0KEJCQlBUVISjR49i+vTpUFdXx8KFC2XOKy4urrbdMw0MDKrl+xBCCPk6GqknhBAVoKmpiYYNG6JZs2b4z3/+AysrK8TExEinzPj6+sLY2Bht2rQBADx//hwODg6oU6cODAwM8PPPP+Pp06fS7/fx40e4u7ujTp06+O6777BgwQKU3Pak5PSboqIieHh4oEmTJtDU1ESrVq0QFBSEp0+fYsCAAQCAunXrQiAQwNnZGQAgkUiwatUqmJiYQEtLC506dcJff/0l83OOHj0KU1NTaGlpYcCAATI5CSFEVVBRTwghKkhLSwvFxcUAgNOnT+P+/fs4efIk/v77b3z48AFDhgyBnp4ezp8/j4sXL0JXVxdDhw6V/n/Wr1+P0NBQBAcH48KFC8jMzMSBAwcq/JkTJkxAREQE/P39cffuXQQEBEBXVxdNmjTB/v37AQD3799HWloaNm3aBABYtWoVwsPDsWPHDiQnJ8PNzQ3jxo1DbGwsgE9vPuzs7DBixAjcvHkTkyZNgqenZ039sxFCCGfR9BtCCFEhDMPg9OnTOH78OGbOnIk3b95AR0cHgYGB0mk3u3fvhkQiQWBgIAQCAQAgJCQEderUwblz5zB48GBs3LgRCxcuhJ2dHQBgx44dOH78eLk/98GDB4iMjMTJkydhZWUFAGjRooX0+OepOvXr10edOnUAfBrZX7lyJU6dOoWePXtK/z8XLlxAQEAA+vXrh+3bt6Nly5ZYv349AKBNmza4desWVq9eXY3/aoQQwn1U1BNCiAr4+++/oauriw8fPkAikWDMmDFYunQppk+fjo4dO8rMo09MTMTDhw+hp6cn8z0KCwvx6NEjvH//HmlpabCwsJAeU1NTQ9euXUtNwfns5s2bEIlE6Nevn9yZHz58iPz8fAwaNEjm/uLiYnTu3BkAcPfuXZkcAKRvAAghRJVQUU8IISpgwIAB2L59OzQ0NGBsbAw1tf//519HR0fm3NzcXHTp0gV//vlnqe9Tr169Kv18LS2tSv9/cnNzAQBHjhxBo0aNZI5pampWKQchhCgrKuoJIUQF6OjooFWrVnKd+8MPP2Dfvn2oX78+9PX1yzzHyMgIly9fRt++fQEAYrEY165dww8//FDm+R07doREIkFsbKx0+s2XPn9S8PHjR+l97dq1g6amJlJTU8sd4TczM0NMTIzMfQkJCV+/SEIIUTK0UJYQQoiMsWPHwtDQED///DPOnz+PJ0+e4Ny5c5g1axZevHgBAJg9ezb++9//4uDBg7h37x6mTZtWYY/55s2bw8nJCRMnTsTBgwel3zMyMhIA0KxZMwgEAvz999948+YNcnNzoaenh3nz5sHNzQ1hYWF49OgRrl+/js2bNyMsLAwAMHXqVKSkpGD+/Pm4f/8+9uzZg9DQ0Jr+JyKEEM6hop4QQogMbW1txMXFoWnTprCzs4OZmRlcXV1RWFgoHbmfO3cuxo8fDycnJ/Ts2RN6enr45ZdfKvy+27dvx8iRIzFt2jS0bdsWv/32G/Ly8gAAjRo1wrJly+Dp6YkGDRpgxowZAAAfHx8sWbIEq1atgpmZGYYOHYojR47AxMQEANC0aVPs378fBw8eRKdOnbBjxw6sXLmyBv91CCGEmwRMeauaCCGEEEIIIbxAI/WEEEIIIYTwHBX1hBBCCCGE8BwV9YQQQgghhPAcFfWEEEIIIYTwHBX1hBBCCCGE8BwV9YQQQgghhPAcFfWEEEIIIYTwHBX1hBBCCCGE8BwV9YQQQgghhPAcFfWEEEIIIYTwHBX1hBBCCCGE8BwV9YQQQgghhPDc/wOrciWmSaFgBAAAAABJRU5ErkJggg==", + "image/png": "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", "text/plain": [ "
" ] @@ -2362,15 +2566,15 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 255, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2025/01/28 16:23:01 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", - "2025/01/28 16:23:04 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" + "2025/01/29 16:30:21 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'Series' object has no attribute 'flatten'\n", + "2025/01/29 16:30:25 WARNING mlflow.utils.environment: Failed to resolve installed pip version. ``pip`` will be added to conda.yaml environment spec without a version specifier.\n" ] }, { @@ -2381,20 +2585,20 @@ "docs: predictions (1440,)\n", " precision recall f1-score support\n", "\n", - " DRAFT 0.93 0.95 0.94 288\n", - " FINAL_REPORT 0.99 1.00 0.99 174\n", - " LETTER 1.00 1.00 1.00 371\n", - " OPINION 1.00 0.94 0.97 97\n", + " DRAFT 0.91 0.95 0.93 288\n", + " FINAL_REPORT 0.97 0.98 0.97 174\n", + " LETTER 0.98 0.99 0.99 371\n", + " OPINION 0.89 0.86 0.87 97\n", "RECIPIENT_LIST 0.99 0.99 0.99 176\n", - " REPORT 0.94 0.94 0.94 214\n", + " REPORT 0.89 0.95 0.92 214\n", " RESPONSE_FORM nan 0.00 0.00 1\n", - " SURVEY 0.00 0.00 0.00 1\n", - "SYNOPTIC_TABLE 0.94 0.95 0.94 77\n", - " VARIOUS_TEXT 0.64 0.61 0.62 41\n", + " SURVEY 1.00 1.00 1.00 1\n", + "SYNOPTIC_TABLE 0.96 0.88 0.92 77\n", + " VARIOUS_TEXT 0.67 0.29 0.41 41\n", "\n", - " accuracy 0.96 1440\n", - " macro avg 0.83 0.74 0.74 1440\n", - " weighted avg 0.96 0.96 0.96 1440\n", + " accuracy 0.94 1440\n", + " macro avg 0.92 0.79 0.80 1440\n", + " weighted avg 0.94 0.94 0.94 1440\n", "\n" ] } @@ -2429,12 +2633,12 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 256, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -2470,15 +2674,15 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 211, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 7617/7617 [00:21<00:00, 348.97it/s]\n", - "Embedding (cached=7616, new=0): 100%|██████████| 7617/7617 [00:05<00:00, 1396.30it/s]" + "100%|██████████| 7617/7617 [00:23<00:00, 317.97it/s]\n", + "Embedding (cached=7616, new=0): 100%|██████████| 7617/7617 [00:06<00:00, 1267.20it/s]\n" ] }, { @@ -2487,13 +2691,6 @@ "text": [ "(7617, 3072)\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] } ], "source": [ @@ -2511,7 +2708,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 212, "metadata": {}, "outputs": [], "source": [ @@ -2527,7 +2724,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 213, "metadata": {}, "outputs": [], "source": [ @@ -2543,7 +2740,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 264, "metadata": {}, "outputs": [ { @@ -2572,21 +2769,40 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 265, "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025/01/28 16:23:35 WARNING mlflow.sklearn: Unrecognized dataset type . Dataset logging skipped.\n" - ] + "data": { + "text/plain": [ + "(127, 3073)" + ] + }, + "execution_count": 265, + "metadata": {}, + "output_type": "execute_result" } ], + "source": [ + "X_sample_batch = np.column_stack(\n", + " (\n", + " np.array(sample_batch[\"embedding\"].tolist()),\n", + " sample_batch[\"contains_synopse_keyword\"],\n", + " )\n", + ")\n", + "X_sample_batch.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 266, + "metadata": {}, + "outputs": [], "source": [ "sample_batch[\"prediction_rule\"] = merge_classes(document_title_rule_model.predict(sample_batch))\n", "\n", - "sample_predictions = classifier.predict(sample_batch[\"embedding\"].tolist())\n", + "\n", + "sample_predictions = classifier.predict(X_sample_batch)\n", "sample_batch[\"prediction_ml\"] = y_encoder.inverse_transform(sample_predictions.reshape(-1, 1)).reshape(1, -1)[0]" ] }, @@ -2599,7 +2815,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 267, "metadata": {}, "outputs": [], "source": [ @@ -2615,7 +2831,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 268, "metadata": {}, "outputs": [], "source": [ @@ -2633,1440 +2849,1440 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 269, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 document_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_mldocument_idpolitical_bodyconsultation_urldocument_source_urldocument_titleground_truthprediction_ruleprediction_ml
3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTSYNOPTIC_TABLE
3866038684agvnldocInformation (PDF, 8 Seiten, 450 KB)REPORTVARIOUS_TEXTLETTER
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneDRAFT
3876638790agvnldocBeilage zum Anhörungsbericht (Synopse BauG) (PDF, 6 Seiten, 47 KB)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3893038954agvnldocAnhörungsbericht (PDF, 99 Seiten, 924 KB)REPORTREPORTSYNOPTIC_TABLE
3907439098agvnldocBeilage 3 zum Anhörungsbericht (Synopse GGV) (PDF, 2 Seiten, 81 KB)SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERVARIOUS_TEXT
3925339277agvnldocLink zum FragebogenSURVEYNoneVARIOUS_TEXT
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)RESPONSE_FORMSURVEYSYNOPTIC_TABLE
3935839382agvnldocFragebogen (nicht ausfüllbar) (PDF, 4 Seiten, 297 KB)RESPONSE_FORMSURVEYSYNOPTIC_TABLE
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTSYNOPTIC_TABLE
3962439760aivnldocErläuternder Bericht zum Entwurf für ein Gesetz über die Nutzung des Untergrundes (GNU)REPORTREPORTREPORT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTSYNOPTIC_TABLE
3975239888arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3976139897arvnldocListe der VernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTSYNOPTIC_TABLE
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3977939915arvnldocBegleitschreiben VernehmlassungLETTERLETTERLETTER
3991740053arvnldocerläuternder BerichtREPORTREPORTREPORT
3992740063arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3993140067arvnldocGlossarVARIOUS_TEXTNoneSYNOPTIC_TABLE
4012240258arvnldocErläuternder BerichtREPORTREPORTREPORT
4017340310arvnldocKonzept Erneuerbare EnergieREPORTNoneOPINION
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTREPORT
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)SYNOPTIC_TABLEVARIOUS_TEXTSYNOPTIC_TABLE
4041040548bevnldocVortrag: Vortrag-02.09.2020-de (PDF)REPORTREPORTREPORT
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTREPORT
4050840646bevnldocBeilage: Beilage-Vernehmlassungseinladung-17.06.2020-de (PDF)LETTERNoneLETTER
4054640684bevnldocRRB: RRB-28.04.2021-de (PDF)DRAFTVARIOUS_TEXTSYNOPTIC_TABLE
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
4158741748bsvnldocVernehmlassungsschreiben mit AdressatenlisteLETTERLETTERLETTER
4165141815bsvnldocLexWork-Änderung des UniversitätsvertragsDRAFTNoneSYNOPTIC_TABLE
4167241839bsvnldocGesetzesentwurfDRAFTDRAFTSYNOPTIC_TABLE
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4214542719glvnldocVernehmlassungsschreiben [pdf, 82 KB]LETTERLETTERLETTER
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneSYNOPTIC_TABLE
4215742731glvnldocAntrag an den Landrat KiBG (Vn).pdf [266 KB]REPORTNoneREPORT
4215942733glvnldocKiBG_Fragen_Vernehmlassung.pdf [42 KB]RESPONSE_FORMNoneSYNOPTIC_TABLE
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTSYNOPTIC_TABLE
4263543277luvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4270243344luvnldocGesetzesentwurfSYNOPTIC_TABLEDRAFTSYNOPTIC_TABLE
4275043392luvnldocBegleitbriefLETTERLETTERVARIOUS_TEXT
4278043422luvnldocVernehmlassungsentwurfDRAFTDRAFTSYNOPTIC_TABLE
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4287743520nwvnldoc05_NG 854.1_Gastgewerbegesetz_Vorlage an LRDRAFTNoneSYNOPTIC_TABLE
4289743540nwvnldoc01_RRB 183_Teilrevision Strafvollzugsgesetz, StVG. Antrag an LandratFINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneSYNOPTIC_TABLE
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneFINAL_REPORT
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneLETTER
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4302343666nwvnldocBericht zur Vernehmlassung [PDF]REPORTREPORTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneSYNOPTIC_TABLE
4316143804nwvnldoc02_Bericht RR an LR_PBGFINAL_REPORTREPORTSYNOPTIC_TABLE
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneSYNOPTIC_TABLE
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411344763szvnldocPlan LandschaftstypenVARIOUS_TEXTNoneVARIOUS_TEXT
4411944769szvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4427944929szvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTSYNOPTIC_TABLE
4430044950szvnldocEinladungsschreibenLETTERLETTERLETTER
4439045040szvnldocVollzugsverordnung zur VernehmlassungsvorlageDRAFTNoneSYNOPTIC_TABLE
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneSYNOPTIC_TABLE
4457145221szvnldocVernehmlassungsberichtREPORTREPORTREPORT
4458145231szvnldocEinladungsschreibenLETTERLETTERLETTER
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTSYNOPTIC_TABLE
4504445694tgvnldocerlaeuternder_bericht_schutz_der_gewaesserREPORTNoneSYNOPTIC_TABLE
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4512345773tgvnldocverordnung_gesundheitsberufe_17_8_2004DRAFTNoneSYNOPTIC_TABLE
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTSYNOPTIC_TABLE
4516745817tgvnldocenergienutzung_vergleichSYNOPTIC_TABLENoneSYNOPTIC_TABLE
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4554346426zgvnldocBeilage 2b: EBP Anpassung Verkehrssteuer für PW in ZugREPORTNoneREPORT
4554546428zgvnldocEinladungsschreiben an die Vernehmlassungsadressatinnen und -adressatenLETTERLETTERLETTER
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTSYNOPTIC_TABLE
4587646762zgvnldocSchreiben an die Vernehmlassungsadressatinnen und -?adressatenLETTERLETTERLETTER
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneREPORT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionRESPONSE_FORMNoneSYNOPTIC_TABLE
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionSYNOPTIC_TABLENoneOPINION
4667347560zhvnldoc20110915 Zürcher Psychiatrieplanung 2012 VersorgungsberichtREPORTNoneDRAFT
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4681047697zhvnldocRRB 98 2013FINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4681547702zhvnldocBf FD Vernehmlassung Änderung PVO Fameg-Kibe 19.2.2013LETTERNoneSYNOPTIC_TABLE
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneVARIOUS_TEXT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4726048147zhvnldocBegleitschreiben Vernehmlassung Planen und Bauen im Uferbereich von SeenLETTERLETTERLETTER
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4744048327zhvnldocErläuterungen zum VorentwurfREPORTREPORTREPORT
4754448431zhvnldocJI - Änderung JVV (Versetzung U-Haft) - Vorentwurf und erläuREPORTNoneSYNOPTIC_TABLE
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneDRAFT
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4766748554zhvnldocVernehmlassungsvorlage VVO, LPVO, MBVVO Änderung betr. Urlaub hinterbliebene Elternteile 28.07.23REPORTDRAFTSYNOPTIC_TABLE
4776048663zgvnldoc2) Teilrevidierter VerwaltungsgebührentarifDRAFTNoneSYNOPTIC_TABLE
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4840649323glvnldocBegleitschreiben Vernehmlassung [pdf, 67 KB]LETTERLETTERLETTER
4898249959frvnldocListe des destinatairesRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTREPORT
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneSYNOPTIC_TABLE
4963850643nwvnldoc08_NG 171.2_Gemeindefinanzhaushaltgesetz GemFHG_Vorlage an LRDRAFTNoneSYNOPTIC_TABLE
4971450719nwvnldoc04_Synopse kStG_ÜStGSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneSYNOPTIC_TABLE
4979750802urvnldocRichtlinien RevisionDRAFTNoneSYNOPTIC_TABLE
4992450929urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
5000251007urvnldocPowerpoint MitwirkungsveranstaltungVARIOUS_TEXTNoneSYNOPTIC_TABLE
5001651021urvnldocBericht_TWNREPORTREPORTDRAFT
5004651051urvnldocGesetzesentwurfDRAFTDRAFTSYNOPTIC_TABLE
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTSYNOPTIC_TABLE
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
5092352424zgvnldoc3) AntwortformularRESPONSE_FORMRESPONSE_FORMVARIOUS_TEXT
5104452559aivnldocBegleitschreiben zur Revision des Gesetzes über den Fristenlauf (FriG)LETTERLETTERLETTER
5141852971sgvnldocVernehmlassungsvorlageREPORTDRAFTSYNOPTIC_TABLE
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneSYNOPTIC_TABLE3852138522agvnldocBeilage 1 zum Anhörungsbericht (PDF, 84 Seiten, 717 KB)SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3857038571agvnldocPlanungsbericht (PDF, 31 Seiten, 2,7 MB)VARIOUS_TEXTREPORTREPORT
3866038684agvnldocInformation (PDF, 8 Seiten, 450 KB)REPORTVARIOUS_TEXTLETTER
3866438688agvnldocSchreiben der Vorsteherin (PDF, 2 Seiten, 32 KB)LETTERLETTERLETTER
3874738771agvnldocAnpassung allgemeine Nutzungsplanung (PDF, 52 Seiten, 6,1 MB)REPORTNoneOPINION
3876638790agvnldocBeilage zum Anhörungsbericht (Synopse BauG) (PDF, 6 Seiten, 47 KB)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
3883038854agvnldocAdressatenliste (PDF, 5 Seiten, 26 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3893038954agvnldocAnhörungsbericht (PDF, 99 Seiten, 924 KB)REPORTREPORTREPORT
3907439098agvnldocBeilage 3 zum Anhörungsbericht (Synopse GGV) (PDF, 2 Seiten, 81 KB)SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3924039264agvnldocSchreiben des Vorstehers (PDF, 2 Seiten, 1,5 MB)LETTERLETTERDRAFT
3925339277agvnldocLink zum FragebogenSURVEYNoneSYNOPTIC_TABLE
3934839372agvnldocFragebogen (nicht ausfüllbar) (PDF, 6 Seiten, 140 KB)RESPONSE_FORMSURVEYOPINION
3935839382agvnldocFragebogen (nicht ausfüllbar) (PDF, 4 Seiten, 297 KB)RESPONSE_FORMSURVEYOPINION
3962339759aivnldocEntwurf Verordnung über die Nutzung des Untergrundes (VNU)DRAFTDRAFTSYNOPTIC_TABLE
3962439760aivnldocErläuternder Bericht zum Entwurf für ein Gesetz über die Nutzung des Untergrundes (GNU)REPORTREPORTREPORT
3970639842aivnldocEntwurf Landsgemeindebeschluss über die Revision der GerichtsorganisationsbestimmungenDRAFTDRAFTSYNOPTIC_TABLE
3975239888arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3976139897arvnldocListe der VernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
3976939905arvnldocErläuternder BerichtREPORTREPORTREPORT
3977939915arvnldocBegleitschreiben VernehmlassungLETTERLETTERLETTER
3991740053arvnldocerläuternder BerichtREPORTREPORTREPORT
3992740063arvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
3993140067arvnldocGlossarVARIOUS_TEXTNoneRECIPIENT_LIST
4012240258arvnldocErläuternder BerichtREPORTREPORTREPORT
4017340310arvnldocKonzept Erneuerbare EnergieREPORTNoneOPINION
4020140339bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-31.03.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4023940377bevnldocVortrag: Vortrag-VNA-22.06.2022-de (PDF)REPORTREPORTSYNOPTIC_TABLE
4027340411bevnldocVortrag: Vortrag-26.10.2022-de (PDF)REPORTREPORTREPORT
4040140539bevnldocRRB: RRB-27.10.2021-de (PDF)SYNOPTIC_TABLEVARIOUS_TEXTSYNOPTIC_TABLE
4041040548bevnldocVortrag: Vortrag-02.09.2020-de (PDF)REPORTREPORTSYNOPTIC_TABLE
4043740575bevnldocVortrag: Vortrag-12.02.2020-de (PDF)REPORTREPORTSYNOPTIC_TABLE
4050840646bevnldocBeilage: Beilage-Vernehmlassungseinladung-17.06.2020-de (PDF)LETTERNoneLETTER
4054640684bevnldocRRB: RRB-28.04.2021-de (PDF)DRAFTVARIOUS_TEXTSYNOPTIC_TABLE
4056840706bevnldocBeilage: Beilage-Vernehmlassungsadressatenliste-01.09.2021-de (PDF)RECIPIENT_LISTNoneRECIPIENT_LIST
4067940817bevnldocBeilage: Beilage-Synopse-14.12.2022-de (PDF)SYNOPTIC_TABLENoneSYNOPTIC_TABLE
4069840836bevnldocRRB: RRB-21.06.2023-de (PDF)VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
4158741748bsvnldocVernehmlassungsschreiben mit AdressatenlisteLETTERLETTERLETTER
4165141815bsvnldocLexWork-Änderung des UniversitätsvertragsDRAFTNoneDRAFT
4167241839bsvnldocGesetzesentwurfDRAFTDRAFTSYNOPTIC_TABLE
4212542699glvnldocAdressliste_VernehmlassungRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4214542719glvnldocVernehmlassungsschreiben [pdf, 82 KB]LETTERLETTERLETTER
4215242726glvnldocAntrag an den Landrat [pdf, 77 KB]REPORTNoneSYNOPTIC_TABLE
4215742731glvnldocAntrag an den Landrat KiBG (Vn).pdf [266 KB]REPORTNoneREPORT
4215942733glvnldocKiBG_Fragen_Vernehmlassung.pdf [42 KB]RESPONSE_FORMNoneOPINION
4220742787glvnldocBericht und Antrag an Landrat [pdf, 87 KB]REPORTREPORTSYNOPTIC_TABLE
4263543277luvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4270243344luvnldocGesetzesentwurfSYNOPTIC_TABLEDRAFTSYNOPTIC_TABLE
4275043392luvnldocBegleitbriefLETTERLETTERDRAFT
4278043422luvnldocVernehmlassungsentwurfDRAFTDRAFTSYNOPTIC_TABLE
4281143453luvnldocEinladungsschreibenLETTERLETTERLETTER
4284843490luvnldocSynopse FAG-Teilrevision 2026SYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4287743520nwvnldoc05_NG 854.1_Gastgewerbegesetz_Vorlage an LRDRAFTNoneSYNOPTIC_TABLE
4289743540nwvnldoc01_RRB 183_Teilrevision Strafvollzugsgesetz, StVG. Antrag an LandratFINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4293843581nwvnldoc07_NG 311.4_Stipendiengesetz_2. LesungDRAFTNoneSYNOPTIC_TABLE
4294443587nwvnldoc04_Auswertung Vernehmlassung_SpitGFINAL_REPORTNoneOPINION
4301043653nwvnldoc06_Mitbericht Fiko_Steuergesetzrevision 2021REPORTNoneOPINION
4301443657nwvnldoc01_RRB 328_NG 742.1_Teilrevision kKVG Bereich IPV_Antrag an LandratFINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4302343666nwvnldocBericht zur Vernehmlassung [PDF]REPORTREPORTREPORT
4303843681nwvnldoc08_NG 641.1_kEnG_2. LesungDRAFTNoneSYNOPTIC_TABLE
4316143804nwvnldoc02_Bericht RR an LR_PBGFINAL_REPORTREPORTSYNOPTIC_TABLE
4321643859nwvnldoc09_NG 165.1_Teilrevision PersG_2.LesungDRAFTNoneSYNOPTIC_TABLE
4336644011owvnldocBericht_Nachtrag_EV_KESRREPORTREPORTREPORT
4349044135owvnldocSynopse EG-KVGSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4364744292sgvnldocVI. Nachtrag EnergiegesetzREPORTNoneREPORT
4379444443shvnldocAnhang I Änderung KVDRAFTVARIOUS_TEXTDRAFT
4411344763szvnldocPlan LandschaftstypenVARIOUS_TEXTNoneDRAFT
4411944769szvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4427944929szvnldocSynopseSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4429244942szvnldocVernehmlassungsvorlageDRAFTDRAFTDRAFT
4430044950szvnldocEinladungsschreibenLETTERLETTERLETTER
4439045040szvnldocVollzugsverordnung zur VernehmlassungsvorlageDRAFTNoneSYNOPTIC_TABLE
4439145041szvnldocProzess MehrwertabgabeVARIOUS_TEXTNoneSYNOPTIC_TABLE
4457145221szvnldocVernehmlassungsberichtREPORTREPORTSYNOPTIC_TABLE
4458145231szvnldocEinladungsschreibenLETTERLETTERLETTER
4462145271szvnldocEinladungsschreibenLETTERLETTERLETTER
4465545305tgvnldocsynopse_verantwortlichkeitsgesetzSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4477045420tgvnldocGesetzesentwurf Strassen und WegeDRAFTDRAFTSYNOPTIC_TABLE
4504445694tgvnldocerlaeuternder_bericht_schutz_der_gewaesserREPORTNoneSYNOPTIC_TABLE
4507945729tgvnldocpflegefinanzierung_berichtREPORTNoneFINAL_REPORT
4512345773tgvnldocverordnung_gesundheitsberufe_17_8_2004DRAFTNoneDRAFT
4516145811tgvnldocEntwurf Gesetz über die öffentliche StatistikDRAFTDRAFTSYNOPTIC_TABLE
4516745817tgvnldocenergienutzung_vergleichSYNOPTIC_TABLENoneSYNOPTIC_TABLE
4520145851tgvnldocGesetzesentwurf_VTG_Teilrevision_SteuergesetzDRAFTDRAFTOPINION
4537646026urvnldocVernehmlassungsberichtREPORTREPORTREPORT
4554346426zgvnldocBeilage 2b: EBP Anpassung Verkehrssteuer für PW in ZugREPORTNoneOPINION
4554546428zgvnldocEinladungsschreiben an die Vernehmlassungsadressatinnen und -adressatenLETTERLETTERLETTER
4579946685zgvnldocAnhang zur Liste der Vernehmlassungsteilnehmenden: PrivatschulenRECIPIENT_LISTVARIOUS_TEXTLETTER
4587646762zgvnldocSchreiben an die Vernehmlassungsadressatinnen und -?adressatenLETTERLETTERLETTER
4644847334zhvnldocMedical Board MedienmitteilungVARIOUS_TEXTNoneVARIOUS_TEXT
4657547461zhvnldoc8 Fragen zur Vernehmlassung RevisionRESPONSE_FORMNoneDRAFT
4658147467zhvnldoc4 Aufnahmereglement Handelsmittelschulen RevisionSYNOPTIC_TABLENoneDRAFT
4667347560zhvnldoc20110915 Zürcher Psychiatrieplanung 2012 VersorgungsberichtREPORTNoneREPORT
4668547572zhvnldocVernehmlassungsadressatenRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4681047697zhvnldocRRB 98 2013FINAL_REPORTVARIOUS_TEXTSYNOPTIC_TABLE
4681547702zhvnldocBf FD Vernehmlassung Änderung PVO Fameg-Kibe 19.2.2013LETTERNoneDRAFT
4688047767zhvnldocLehrmittelverordnung für die Volksschule vom 5. Januar 2000DRAFTNoneDRAFT
4708947976zhvnldocRRB Gesetzesanpassungen GesG EpGDRAFTVARIOUS_TEXTREPORT
4716448051zhvnldocWegleitung MAG lowresVARIOUS_TEXTNoneREPORT
4726048147zhvnldocBegleitschreiben Vernehmlassung Planen und Bauen im Uferbereich von SeenLETTERLETTERLETTER
4734648233zhvnldocEnerG-Aend MuKEn2014 Vern18 2018-04-12 Versandexemplar-BeilageDRAFTNoneREPORT
4744048327zhvnldocErläuterungen zum VorentwurfREPORTREPORTSYNOPTIC_TABLE
4754448431zhvnldocJI - Änderung JVV (Versetzung U-Haft) - Vorentwurf und erläuREPORTNoneSYNOPTIC_TABLE
4756448451zhvnldocLeistungsspezifische Anforderungen Rehabilitation 2023.1VARIOUS_TEXTNoneOPINION
4760048487zhvnldocBegleitschreiben Übergangsordnung zu den Kleinsiedlungen im Kanton ZürichLETTERLETTERLETTER
4766748554zhvnldocVernehmlassungsvorlage VVO, LPVO, MBVVO Änderung betr. Urlaub hinterbliebene Elternteile 28.07.23REPORTDRAFTSYNOPTIC_TABLE
4776048663zgvnldoc2) Teilrevidierter VerwaltungsgebührentarifDRAFTNoneSYNOPTIC_TABLE
4779748704bevnldocRRB: RRB-24.04.2024-de (PDF)VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
4800148912agvnldocAdressatenliste (PDF, 2 Seiten, 68 KB)RECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4840649323glvnldocBegleitschreiben Vernehmlassung [pdf, 67 KB]LETTERLETTERLETTER
4898249959frvnldocListe des destinatairesRECIPIENT_LISTRECIPIENT_LISTRECIPIENT_LIST
4932650325agvnldocAnhörungsbericht (PDF, 31 Seiten, 300 KB)REPORTREPORTOPINION
4944350448nwvnldoc15_Version KV nach 2. Lesung LR (Antrag an Stimmberechtigte)DRAFTNoneSYNOPTIC_TABLE
4963850643nwvnldoc08_NG 171.2_Gemeindefinanzhaushaltgesetz GemFHG_Vorlage an LRDRAFTNoneSYNOPTIC_TABLE
4971450719nwvnldoc04_Synopse kStG_ÜStGSYNOPTIC_TABLESYNOPTIC_TABLESYNOPTIC_TABLE
4976550770urvnldocWanderkarte Urnersee FinanzierungskategorieVARIOUS_TEXTNoneSYNOPTIC_TABLE
4979750802urvnldocRichtlinien RevisionDRAFTNoneSYNOPTIC_TABLE
4992450929urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTOPINION
4994150946urvnldocAuswertungsberichtFINAL_REPORTFINAL_REPORTFINAL_REPORT
5000251007urvnldocPowerpoint MitwirkungsveranstaltungVARIOUS_TEXTNoneLETTER
5001651021urvnldocBericht_TWNREPORTREPORTOPINION
5004651051urvnldocGesetzesentwurfDRAFTDRAFTSYNOPTIC_TABLE
5040051861zgvnldoc3) Entwurf des totalrevidierten Gesetzes über AusbildungsbeiträgeDRAFTDRAFTSYNOPTIC_TABLE
5059252074shvnldocPräsentation, FAG STG, 16.8.2024VARIOUS_TEXTVARIOUS_TEXTSYNOPTIC_TABLE
5092352424zgvnldoc3) AntwortformularRESPONSE_FORMRESPONSE_FORMOPINION
5104452559aivnldocBegleitschreiben zur Revision des Gesetzes über den Fristenlauf (FriG)LETTERLETTERLETTER
5141852971sgvnldocVernehmlassungsvorlageREPORTDRAFTSYNOPTIC_TABLE
5158753166zhvnldocBeschluss des KantonsratesFINAL_REPORTNoneSYNOPTIC_TABLE
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 41, + "execution_count": 269, "metadata": {}, "output_type": "execute_result" } @@ -4095,7 +4311,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 270, "metadata": {}, "outputs": [], "source": [ @@ -4104,7 +4320,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 271, "metadata": {}, "outputs": [ { @@ -4123,7 +4339,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 43, + "execution_count": 271, "metadata": {}, "output_type": "execute_result" } @@ -4141,7 +4357,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 272, "metadata": {}, "outputs": [ { @@ -4150,20 +4366,20 @@ "text": [ " precision recall f1-score support\n", "\n", - " DRAFT 0.20 0.04 0.06 26\n", - " FINAL_REPORT 0.75 0.38 0.50 8\n", - " LETTER 0.88 0.83 0.86 18\n", + " DRAFT 0.45 0.19 0.27 26\n", + " FINAL_REPORT 0.50 0.12 0.20 8\n", + " LETTER 0.83 0.83 0.83 18\n", " OPINION 0.00 nan 0.00 0\n", - "RECIPIENT_LIST 1.00 0.78 0.88 9\n", - " REPORT 0.81 0.55 0.65 31\n", + "RECIPIENT_LIST 0.89 0.89 0.89 9\n", + " REPORT 0.75 0.39 0.51 31\n", " RESPONSE_FORM nan 0.00 0.00 5\n", " SURVEY nan 0.00 0.00 1\n", - "SYNOPTIC_TABLE 0.25 0.94 0.40 17\n", - " VARIOUS_TEXT 0.17 0.08 0.11 12\n", + "SYNOPTIC_TABLE 0.29 0.94 0.44 17\n", + " VARIOUS_TEXT 1.00 0.08 0.15 12\n", "\n", - " accuracy 0.47 127\n", - " macro avg 0.51 0.40 0.35 127\n", - " weighted avg 0.56 0.47 0.45 127\n", + " accuracy 0.46 127\n", + " macro avg 0.59 0.38 0.33 127\n", + " weighted avg 0.65 0.46 0.45 127\n", "\n" ] } @@ -4180,17 +4396,17 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 273, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 45, + "execution_count": 273, "metadata": {}, "output_type": "execute_result" } @@ -4214,7 +4430,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 223, "metadata": {}, "outputs": [ { @@ -4247,7 +4463,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 224, "metadata": {}, "outputs": [ { @@ -4257,7 +4473,7 @@ "
" ] }, - "execution_count": 47, + "execution_count": 224, "metadata": {}, "output_type": "execute_result" } @@ -4288,7 +4504,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 225, "metadata": {}, "outputs": [], "source": [