diff --git a/Carolyne-Oliveira/Base de dados/Eleicoes2024.zip b/Carolyne-Oliveira/Base de dados/Eleicoes2024.zip new file mode 100644 index 0000000..28ba6ed Binary files /dev/null and b/Carolyne-Oliveira/Base de dados/Eleicoes2024.zip differ diff --git a/Carolyne-Oliveira/Base de dados/consulta_cand_2024_SP.zip b/Carolyne-Oliveira/Base de dados/consulta_cand_2024_SP.zip new file mode 100644 index 0000000..0325d96 Binary files /dev/null and b/Carolyne-Oliveira/Base de dados/consulta_cand_2024_SP.zip differ diff --git a/Carolyne-Oliveira/Base de dados/consulta_cand_complementar_2024_SP.zip b/Carolyne-Oliveira/Base de dados/consulta_cand_complementar_2024_SP.zip new file mode 100644 index 0000000..62cc130 Binary files /dev/null and b/Carolyne-Oliveira/Base de dados/consulta_cand_complementar_2024_SP.zip differ diff --git a/Carolyne-Oliveira/Base de dados/leiame - consulta_cand_2024_SP.pdf b/Carolyne-Oliveira/Base de dados/leiame - consulta_cand_2024_SP.pdf new file mode 100644 index 0000000..8a2ff65 Binary files /dev/null and b/Carolyne-Oliveira/Base de dados/leiame - consulta_cand_2024_SP.pdf differ diff --git a/Carolyne-Oliveira/Base de dados/leiame - consulta_cand_complementar_2024_SP.pdf b/Carolyne-Oliveira/Base de dados/leiame - consulta_cand_complementar_2024_SP.pdf new file mode 100644 index 0000000..ef520ad Binary files /dev/null and b/Carolyne-Oliveira/Base de dados/leiame - consulta_cand_complementar_2024_SP.pdf differ diff --git "a/Carolyne-Oliveira/Elei\303\247\303\265es_SP_2024.ipynb" "b/Carolyne-Oliveira/Elei\303\247\303\265es_SP_2024.ipynb" new file mode 100644 index 0000000..348cae3 --- /dev/null +++ "b/Carolyne-Oliveira/Elei\303\247\303\265es_SP_2024.ipynb" @@ -0,0 +1,4918 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "rEgHAdIFceJS" + }, + "source": [ + "\n", + "#Introdução\n", + "\n", + "As bases de dados escolhidas foram obtidas no site do Tribunal Superior Eleitoral ([TSE](https://dadosabertos.tse.jus.br/dataset/candidatos-2024)), e são referentes às eleições de 2024 para os cargos de prefeito, vice-prefeito e vereador de São Paulo. A escolha desse dataset foi motivada pelo atual cenário político brasileiro, marcado por incertezas e debates sobre o futuro político e administrativo do estado de São Paulo. Analisar esses dados é crucial, pois as eleições municipais têm um impacto direto nas políticas públicas que afetam a vida dos cidadãos, e entender os padrões e tendências pode fornecer insights valiosos para prever possíveis desdobramentos e influências no cenário político local.\n", + "\n", + "O que chamou a atenção nesses dados foi a riqueza de detalhes disponíveis, como informações sobre candidaturas, despesas de campanha, distribuição por gênero, idade, e partido. Esses aspectos são fundamentais para entender melhor o perfil dos candidatos, as estratégias eleitorais adotadas e como esses fatores podem influenciar os resultados eleitorais. Acredita-se que essa análise pode gerar bons insights, como identificar tendências de investimento em campanhas, padrões de participação feminina nas eleições, e a relação entre gasto de campanha e sucesso eleitoral." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "-k6Z_s39lt5h" + }, + "source": [ + "#Bibliotecas" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "id": "VC5lvo2j7Uuh" + }, + "outputs": [], + "source": [ + "#importar bibliotecas\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "from datetime import datetime\n", + "import seaborn as sns\n", + "import sqlite3\n", + "from google.colab import files\n", + "import numpy as np\n", + "import plotly.express as px\n", + "from scipy import stats\n", + "from scipy.stats import f_oneway\n", + "import statsmodels.stats.multicomp as mc\n", + "from scipy.stats import kruskal" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0JIfS5fZlvCa" + }, + "source": [ + "#Alterar a linguagem" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "gjVz9EvaNk4B", + "outputId": "ca7afe96-6037-48dc-f4c8-3c336f3ef166" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: chardet in /usr/local/lib/python3.10/dist-packages (5.2.0)\n" + ] + } + ], + "source": [ + "#pacote para identificar o encoding da base de dados\n", + "!pip install chardet" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "-RJGl1Z74OUd" + }, + "source": [ + "-Base Candidatos" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4zP0JD7ZNmG0", + "outputId": "6f19000a-3f65-4f29-a1b0-5de4423cb4ed" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'encoding': 'ISO-8859-1', 'confidence': 0.73, 'language': ''}\n" + ] + } + ], + "source": [ + "#identificando o encoding e a linguagem da base de dados\n", + "import chardet\n", + "\n", + "with open('/content/drive/MyDrive/REPROGRAMA/on33-python-s13-projeto-guiado-II/Projeto Guiado/consulta_cand_2024/consulta_cand_2024_SP.csv', 'rb') as rawdata:\n", + " result = chardet.detect(rawdata.read(100000)) # Read a portion of the file\n", + "\n", + "print(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "aHsS7plHQ3wV", + "outputId": "dbb7b63d-1fee-42f1-ba08-4269ac6a8962" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\"27/08/2024\";\"19:30:34\";2024;2;\"ELEI��O ORDIN�RIA\";1;619;\"Elei��es Municipais 2024\";\"06/10/2024\";\"MUNICIPAL\";\"SP\";\"67130\";\"MOGI DAS CRUZES\";13;\"VEREADOR\";250001997507;10789;\"MARTA VITORINO JANU�RIO\";\"MARTINHA\";\"#NULO#\";\"-4\";\"N�O DIVULG�VEL\";-3;\"#NE\";\"PARTIDO ISOLADO\";10;\"REPUBLICANOS\";\"REPUBLICANOS\";-1;\"#NULO#\";\"#NULO#\";\"#NULO#\";250001706184;\"PARTIDO ISOLADO\";\"REPUBLICANOS - REPUBLICANOS - MOGI DAS CRUZES - SP\";\"SP\";\"09/05/1962\";\"031083510108\";4;\"FEMININO\";6;\"ENSINO M�DIO COMPLETO\";1;\"SOLTEIRO(A)\";\"01\";\"BRANCA\";298;\"SERVIDOR P�BLICO MUNICIPAL\";-1;\"#NULO#\"\r\n", + "\"27/08/2024\";\"19:30:34\";2024;2;\"ELEI��O ORDIN�RIA\";1;619;\"Elei��es Municipais 2024\";\"06/10/2024\";\"MUNICIPAL\";\"SP\";\"69213\";\"PRAIA GRANDE\";13;\"VEREADOR\";250002318218;20333;\"JOAO BENEDITO ALVES MAGALHAES\";\"JO�O MAGALHAES\";\"#NULO#\";\"-4\";\"N�O DIVULG�VEL\";-3;\"#NE\";\"PARTIDO ISOLADO\";20;\"PODE\";\"PODEMOS\";-1;\"#NULO#\";\"#NULO#\";\"#NULO#\";250001754918;\"PARTIDO ISOLADO\";\"Podemos - PODE - PRAIA GRANDE - SP\";\"CE\";\"12/04/1955\";\"042346480779\";2;\"MASCULINO\";6;\"ENSINO M�DIO COMPLETO\";9;\"DIVORCIADO(A)\";\"01\";\"BRANCA\";512;\"CABELEIREIRO E BARBEIRO\";-1;\"#NULO#\"\r\n", + "\"27/08/2024\";\"19:30:34\";2024;2;\"ELEI��O ORDIN�RIA\";1;619;\"Elei��es Municipais 2024\";\"06/10/2024\";\"MUNICIPAL\";\"SP\";\"61794\";\"ASSIS\";13;\"VEREADOR\";250002298988;22193;\"REYNALDO CAMPANATTI PEREIRA\";\"PROFESSOR CAMPANATTI\";\"#NULO#\";\"-4\";\"N�O DIVULG�VEL\";-3;\"#NE\";\"PARTIDO ISOLADO\";22;\"PL\";\"PARTIDO LIBERAL\";-1;\"#NULO#\";\"#NULO#\";\"#NULO#\";250001752092;\"PARTIDO ISOLADO\";\"Partido Liberal - PL - ASSIS - SP\";\"SP\";\"08/02/1961\";\"011521510116\";2;\"MASCULINO\";8;\"SUPERIOR COMPLETO\";3;\"CASADO(A)\";\"01\";\"BRANCA\";142;\"PROFESSOR DE ENSINO SUPERIOR\";-1;\"#NULO#\"\r\n", + "\"27/08/2024\";\"19:30:34\";2024;2;\"ELEI��O ORDIN�RIA\";1;619;\"Elei��es Municipais 2024\";\"06/10/2024\";\"MUNICIPAL\";\"SP\";\"65757\";\"ITIRAPU�\";12;\"VICE-PREFEITO\";250002276467;10;\"WELLINGTON NAVES MOREIRA\";\"GUGU\";\"#NULO#\";\"-4\";\"N�O DIVULG�VEL\";-3;\"#NE\";\"COLIGA��O\";44;\"UNI�O\";\"UNI�O BRASIL\";-1;\"#NULO#\";\"#NULO#\";\"#NULO#\";250001749141;\"Coragem para renovar e fazer acontecer\";\"Coragem para renovar e fazer acontecer [REPUBLICANOS - REPUBLICANOS, Uni�o Brasil - UNI�O] - ITIRAPU� - SP\";\"SP\";\"10/11/1995\";\"411068580108\";2;\"MASCULINO\";6;\"ENSINO M�DIO COMPLETO\";3;\"CASADO(A)\";\"03\";\"PARDA\";169;\"COMERCIANTE\";-1;\"#NULO#\"\r\n", + "\"27/08/2024\";\"19:30:34\";2024;2;\"ELEI��O ORDIN�RIA\";1;619;\"Elei��es Municipais 2024\";\"06/10/2024\";\"MUNICIPAL\";\"SP\";\"70173\";\"SANTA B�RBARA D'OESTE\";13;\"VEREADOR\";250002278635;23666;\"JOS� CARLOS JERONIMO PINTO\";\"JOS� CARLOS\";\"#NULO#\";\"-4\";\"N�O DIVULG�VEL\";-3;\"#NE\";\"FEDERA��O\";23;\"CIDADANIA\";\"CIDADANIA\";100;\"Federa��o PSDB CIDADANIA\";\"PSDB/CIDADANIA\";\"PSDB/CIDADANIA\";250001749432;\"FEDERA��O\";\"Federa��o PSDB CIDADANIA (PSDB/CIDADANIA) - SANTA B�RBARA D'OESTE - SP\";\"SP\";\"12/10/1967\";\"352702290108\";2;\"MASCULINO\";3;\"ENSINO FUNDAMENTAL INCOMPLETO\";3;\"CASADO(A)\";\"01\";\"BRANCA\";999;\"OUTROS\";-1;\"#NULO#\"\r\n" + ] + } + ], + "source": [ + "#visualização da base de dados\n", + "!head -n 25 '/content/drive/MyDrive/REPROGRAMA/on33-python-s13-projeto-guiado-II/Projeto Guiado/consulta_cand_2024/consulta_cand_2024_SP.csv' | tail -n 5" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "id": "5gZuFBoVRb8h" + }, + "outputs": [], + "source": [ + "#Substituir \";\"\n", + "# 'on_bad_lines' indica o que fazer em linhas com erros\n", + "# 'skip' irá pular linhas que causam erros.\n", + "candidato = pd.read_csv('/content/drive/MyDrive/REPROGRAMA/on33-python-s13-projeto-guiado-II/Projeto Guiado/consulta_cand_2024/consulta_cand_2024_SP.csv', encoding='ISO-8859-1', sep=';', on_bad_lines='skip')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1ou2LpeG4R4e" + }, + "source": [ + "-Base Complemento" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "JT4ooCnV4VGf", + "outputId": "99aa7354-8955-4c30-bc71-8a2da2bc673c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'encoding': 'ISO-8859-1', 'confidence': 0.73, 'language': ''}\n" + ] + } + ], + "source": [ + "#identificando o encoding e a linguagem da base de dados\n", + "import chardet\n", + "\n", + "with open('/content/drive/MyDrive/REPROGRAMA/on33-python-s13-projeto-guiado-II/Projeto Guiado/consulta_cand_complementar_2024/consulta_cand_complementar_2024_SP.csv', 'rb') as rawdata:\n", + " result = chardet.detect(rawdata.read(100000)) # Read a portion of the file\n", + "\n", + "print(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "sH8y1d51409s", + "outputId": "b04d285b-c96a-43a9-f0f0-32bc0d693709" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\"27/08/2024\";\"19:30:34\";2024;619;250002023453;-3;\"#NE\";1;\"BRASILEIRA NATA\";-3;\"MAIRINQUE\";\"37\";\"N\";-1;\"#NULO#\";\"53179.07\";\"N\";\"S\";\"-1\";\"06004589120246260131\";\"-3\";\"#NE\";\"-3\";\"#NE\";\"N�O\";\"#NULO#\";-1;\"#NULO#\";\"N\";\"N\";-1;-1;\"2024-08-08 14:54:46\";8;\"AGUARDANDO JULGAMENTO\";\"-1\";\"#NULO#\";\"-1\";\"#NULO#\";-1;\"#NULO#\";-1;\"#NULO#\";-1;\"#NULO#\"\r\n", + "\"27/08/2024\";\"19:30:34\";2024;619;250002013157;-3;\"#NE\";1;\"BRASILEIRA NATA\";-3;\"PRESIDENTE EPIT�CIO\";\"25\";\"N\";-1;\"#NULO#\";\"38659.48\";\"N\";\"S\";\"-1\";\"06001237420246260195\";\"-3\";\"#NE\";\"-3\";\"#NE\";\"N�O\";\"#NULO#\";-1;\"#NULO#\";\"N\";\"N\";-1;-1;\"2024-08-08 11:28:01\";8;\"AGUARDANDO JULGAMENTO\";\"-1\";\"#NULO#\";\"-1\";\"#NULO#\";-1;\"#NULO#\";-1;\"#NULO#\";-1;\"#NULO#\"\r\n", + "\"27/08/2024\";\"19:30:34\";2024;619;250002257538;-3;\"#NE\";1;\"BRASILEIRA NATA\";-3;\"ITAPETININGA\";\"34\";\"N\";0;\"N�O INFORMADO\";\"15985.08\";\"N\";\"N\";\"-1\";\"06003226920246260010\";\"-3\";\"#NE\";\"-3\";\"#NE\";\"N�O\";\"#NULO#\";-1;\"#NULO#\";\"N\";\"N\";-1;-1;\"2024-08-14 11:04:24\";8;\"AGUARDANDO JULGAMENTO\";\"-1\";\"#NULO#\";\"-1\";\"#NULO#\";-1;\"#NULO#\";-1;\"#NULO#\";-1;\"#NULO#\"\r\n", + "\"27/08/2024\";\"19:30:34\";2024;619;250001957869;-3;\"#NE\";1;\"BRASILEIRA NATA\";-3;\"JANDIRA\";\"27\";\"N\";-1;\"#NULO#\";\"85642.85\";\"N\";\"S\";\"-1\";\"06002559520246260304\";\"-3\";\"#NE\";\"-3\";\"#NE\";\"N�O\";\"#NULO#\";-1;\"#NULO#\";\"N\";\"N\";-1;-1;\"2024-08-05 19:10:31\";8;\"AGUARDANDO JULGAMENTO\";\"-1\";\"#NULO#\";\"-1\";\"#NULO#\";-1;\"#NULO#\";-1;\"#NULO#\";-1;\"#NULO#\"\r\n", + "\"27/08/2024\";\"19:30:34\";2024;619;250002023723;-3;\"#NE\";1;\"BRASILEIRA NATA\";-3;\"INDAIATUBA\";\"44\";\"N\";-1;\"#NULO#\";\"129911.43\";\"N\";\"S\";\"-1\";\"06001795920246260211\";\"-3\";\"#NE\";\"-3\";\"#NE\";\"N�O\";\"#NULO#\";-1;\"#NULO#\";\"N\";\"N\";-1;-1;\"2024-08-08 15:00:43\";8;\"AGUARDANDO JULGAMENTO\";\"-1\";\"#NULO#\";\"-1\";\"#NULO#\";-1;\"#NULO#\";-1;\"#NULO#\";-1;\"#NULO#\"\r\n" + ] + } + ], + "source": [ + "#visualização da base de dados\n", + "!head -n 25 '/content/drive/MyDrive/REPROGRAMA/on33-python-s13-projeto-guiado-II/Projeto Guiado/consulta_cand_complementar_2024/consulta_cand_complementar_2024_SP.csv' | tail -n 5" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "id": "VfR1AsH94_Nk" + }, + "outputs": [], + "source": [ + "#Substituir \";\"\n", + "# 'on_bad_lines' indica o que fazer em linhas com erros\n", + "# 'skip' irá pular linhas que causam erros.\n", + "complemento = pd.read_csv('/content/drive/MyDrive/REPROGRAMA/on33-python-s13-projeto-guiado-II/Projeto Guiado/consulta_cand_complementar_2024/consulta_cand_complementar_2024_SP.csv', encoding='ISO-8859-1', sep=';', on_bad_lines='skip')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "uQQZJuWvvrDs" + }, + "source": [ + "#Análise Descritiva da Base de Dados" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "J66o_07A9Jzk" + }, + "source": [ + "-Base Candidato" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ljZltjtCmsqB", + "outputId": "c76440a4-a537-44df-c06c-9c92b135e1e7" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['DT_GERACAO', 'HH_GERACAO', 'ANO_ELEICAO', 'CD_TIPO_ELEICAO',\n", + " 'NM_TIPO_ELEICAO', 'NR_TURNO', 'CD_ELEICAO', 'DS_ELEICAO', 'DT_ELEICAO',\n", + " 'TP_ABRANGENCIA_ELEICAO', 'SG_UF', 'SG_UE', 'NM_UE', 'CD_CARGO',\n", + " 'DS_CARGO', 'SQ_CANDIDATO', 'NR_CANDIDATO', 'NM_CANDIDATO',\n", + " 'NM_URNA_CANDIDATO', 'NM_SOCIAL_CANDIDATO', 'NR_CPF_CANDIDATO',\n", + " 'DS_EMAIL', 'CD_SITUACAO_CANDIDATURA', 'DS_SITUACAO_CANDIDATURA',\n", + " 'TP_AGREMIACAO', 'NR_PARTIDO', 'SG_PARTIDO', 'NM_PARTIDO',\n", + " 'NR_FEDERACAO', 'NM_FEDERACAO', 'SG_FEDERACAO',\n", + " 'DS_COMPOSICAO_FEDERACAO', 'SQ_COLIGACAO', 'NM_COLIGACAO',\n", + " 'DS_COMPOSICAO_COLIGACAO', 'SG_UF_NASCIMENTO', 'DT_NASCIMENTO',\n", + " 'NR_TITULO_ELEITORAL_CANDIDATO', 'CD_GENERO', 'DS_GENERO',\n", + " 'CD_GRAU_INSTRUCAO', 'DS_GRAU_INSTRUCAO', 'CD_ESTADO_CIVIL',\n", + " 'DS_ESTADO_CIVIL', 'CD_COR_RACA', 'DS_COR_RACA', 'CD_OCUPACAO',\n", + " 'DS_OCUPACAO', 'CD_SIT_TOT_TURNO', 'DS_SIT_TOT_TURNO'],\n", + " dtype='object')" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Verificar as colunas na base de dados\n", + "candidato.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "id": "-td-EVjYR2p1", + "outputId": "29bca74d-a347-41e9-c642-946518b1fa8d" + }, + "outputs": [ + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "candidato" + }, + "text/html": [ + "\n", + "
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227/08/202419:30:3420242ELEIÇÃO ORDINÁRIA1619Eleições Municipais 202406/10/2024MUNICIPAL...6ENSINO MÉDIO COMPLETO1SOLTEIRO(A)1BRANCA999OUTROS-1#NULO#
327/08/202419:30:3420242ELEIÇÃO ORDINÁRIA1619Eleições Municipais 202406/10/2024MUNICIPAL...6ENSINO MÉDIO COMPLETO3CASADO(A)1BRANCA999OUTROS-1#NULO#
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" + ], + "text/plain": [ + "DT_GERACAO 0\n", + "HH_GERACAO 0\n", + "ANO_ELEICAO 0\n", + "CD_TIPO_ELEICAO 0\n", + "NM_TIPO_ELEICAO 0\n", + "NR_TURNO 0\n", + "CD_ELEICAO 0\n", + "DS_ELEICAO 0\n", + "DT_ELEICAO 0\n", + "TP_ABRANGENCIA_ELEICAO 0\n", + "SG_UF 0\n", + "SG_UE 0\n", + "NM_UE 0\n", + "CD_CARGO 0\n", + "DS_CARGO 0\n", + "SQ_CANDIDATO 0\n", + "NR_CANDIDATO 0\n", + "NM_CANDIDATO 0\n", + "NM_URNA_CANDIDATO 1\n", + "NM_SOCIAL_CANDIDATO 0\n", + "NR_CPF_CANDIDATO 0\n", + "DS_EMAIL 0\n", + "CD_SITUACAO_CANDIDATURA 0\n", + "DS_SITUACAO_CANDIDATURA 0\n", + "TP_AGREMIACAO 0\n", + "NR_PARTIDO 0\n", + "SG_PARTIDO 0\n", + "NM_PARTIDO 0\n", + "NR_FEDERACAO 0\n", + "NM_FEDERACAO 0\n", + "SG_FEDERACAO 0\n", + "DS_COMPOSICAO_FEDERACAO 0\n", + "SQ_COLIGACAO 0\n", + "NM_COLIGACAO 0\n", + "DS_COMPOSICAO_COLIGACAO 0\n", + "SG_UF_NASCIMENTO 0\n", + "DT_NASCIMENTO 0\n", + "NR_TITULO_ELEITORAL_CANDIDATO 0\n", + "CD_GENERO 0\n", + "DS_GENERO 0\n", + "CD_GRAU_INSTRUCAO 0\n", + "DS_GRAU_INSTRUCAO 0\n", + "CD_ESTADO_CIVIL 0\n", + "DS_ESTADO_CIVIL 0\n", + "CD_COR_RACA 0\n", + "DS_COR_RACA 0\n", + "CD_OCUPACAO 0\n", + "DS_OCUPACAO 0\n", + "CD_SIT_TOT_TURNO 0\n", + "DS_SIT_TOT_TURNO 0\n", + "dtype: int64" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Verificar nulos na base candidato\n", + "candidato.isnull().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "QMJnZkae70UF", + "outputId": "a57f812e-c4be-42bd-8be2-a2a3725953e6" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(77591, 50)" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Quantidade de linhas\n", + "candidato.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "vlq6KhZ99NY-", + "outputId": "a79d77e1-d2da-46ce-d6fc-156144d2dc2e" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 77591 entries, 0 to 77590\n", + "Data columns (total 50 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 DT_GERACAO 77591 non-null object\n", + " 1 HH_GERACAO 77591 non-null object\n", + " 2 ANO_ELEICAO 77591 non-null int64 \n", + " 3 CD_TIPO_ELEICAO 77591 non-null int64 \n", + " 4 NM_TIPO_ELEICAO 77591 non-null object\n", + " 5 NR_TURNO 77591 non-null int64 \n", + " 6 CD_ELEICAO 77591 non-null int64 \n", + " 7 DS_ELEICAO 77591 non-null object\n", + " 8 DT_ELEICAO 77591 non-null object\n", + " 9 TP_ABRANGENCIA_ELEICAO 77591 non-null object\n", + " 10 SG_UF 77591 non-null object\n", + " 11 SG_UE 77591 non-null int64 \n", + " 12 NM_UE 77591 non-null object\n", + " 13 CD_CARGO 77591 non-null int64 \n", + " 14 DS_CARGO 77591 non-null object\n", + " 15 SQ_CANDIDATO 77591 non-null int64 \n", + " 16 NR_CANDIDATO 77591 non-null int64 \n", + " 17 NM_CANDIDATO 77591 non-null object\n", + " 18 NM_URNA_CANDIDATO 77590 non-null object\n", + " 19 NM_SOCIAL_CANDIDATO 77591 non-null object\n", + " 20 NR_CPF_CANDIDATO 77591 non-null int64 \n", + " 21 DS_EMAIL 77591 non-null object\n", + " 22 CD_SITUACAO_CANDIDATURA 77591 non-null int64 \n", + " 23 DS_SITUACAO_CANDIDATURA 77591 non-null object\n", + " 24 TP_AGREMIACAO 77591 non-null object\n", + " 25 NR_PARTIDO 77591 non-null int64 \n", + " 26 SG_PARTIDO 77591 non-null object\n", + " 27 NM_PARTIDO 77591 non-null object\n", + " 28 NR_FEDERACAO 77591 non-null int64 \n", + " 29 NM_FEDERACAO 77591 non-null object\n", + " 30 SG_FEDERACAO 77591 non-null object\n", + " 31 DS_COMPOSICAO_FEDERACAO 77591 non-null object\n", + " 32 SQ_COLIGACAO 77591 non-null int64 \n", + " 33 NM_COLIGACAO 77591 non-null object\n", + " 34 DS_COMPOSICAO_COLIGACAO 77591 non-null object\n", + " 35 SG_UF_NASCIMENTO 77591 non-null object\n", + " 36 DT_NASCIMENTO 77591 non-null object\n", + " 37 NR_TITULO_ELEITORAL_CANDIDATO 77591 non-null int64 \n", + " 38 CD_GENERO 77591 non-null int64 \n", + " 39 DS_GENERO 77591 non-null object\n", + " 40 CD_GRAU_INSTRUCAO 77591 non-null int64 \n", + " 41 DS_GRAU_INSTRUCAO 77591 non-null object\n", + " 42 CD_ESTADO_CIVIL 77591 non-null int64 \n", + " 43 DS_ESTADO_CIVIL 77591 non-null object\n", + " 44 CD_COR_RACA 77591 non-null int64 \n", + " 45 DS_COR_RACA 77591 non-null object\n", + " 46 CD_OCUPACAO 77591 non-null int64 \n", + " 47 DS_OCUPACAO 77591 non-null object\n", + " 48 CD_SIT_TOT_TURNO 77591 non-null int64 \n", + " 49 DS_SIT_TOT_TURNO 77591 non-null object\n", + "dtypes: int64(20), object(30)\n", + "memory usage: 29.6+ MB\n" + ] + } + ], + "source": [ + "candidato.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "49E_2zW1Ogml", + "outputId": "41c46093-9170-477b-eb34-7e137896d92c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " SG_UF SG_UE NM_UE CD_CARGO DS_CARGO SQ_CANDIDATO \\\n", + "0 SP 72230 VALENTIM GENTIL 13 VEREADOR 250002276626 \n", + "1 SP 64319 GABRIEL MONTEIRO 13 VEREADOR 250002275730 \n", + "2 SP 64319 GABRIEL MONTEIRO 13 VEREADOR 250002277051 \n", + "3 SP 72273 VALPARAÍSO 13 VEREADOR 250002279457 \n", + "4 SP 63118 CARAGUATATUBA 13 VEREADOR 250002275840 \n", + "... ... ... ... ... ... ... \n", + "77586 SP 62111 BARRINHA 13 VEREADOR 250001920422 \n", + "77587 SP 71498 SUMARÉ 13 VEREADOR 250001942575 \n", + "77588 SP 64874 IBATÉ 13 VEREADOR 250001946083 \n", + "77589 SP 71153 SÃO SEBASTIÃO 13 VEREADOR 250002341798 \n", + "77590 SP 70955 SÃO JOSÉ DO RIO PARDO 13 VEREADOR 250002346612 \n", + "\n", + " NR_CANDIDATO NM_CANDIDATO NR_PARTIDO \\\n", + "0 43777 IZAQUIEL ALVES DA SILVA 43 \n", + "1 55555 FERNANDA DONADONI BELORTI 55 \n", + "2 10100 JAQUELINE FIM DOS SANTOS 10 \n", + "3 45645 HELZIO RAMOS BORGES 45 \n", + "4 33789 LUIZ CESAR OLIVEIRA PEREIRA 33 \n", + "... ... ... ... \n", + "77586 11234 APARECIDA DO PERPETUO SOCORRO LEMOS OLIVEIRA 11 \n", + "77587 22224 RANGEL PESTANA COSTA 22 \n", + "77588 55555 IVANILDO DE OLIVEIRA LINS 55 \n", + "77589 36000 IVAN CAMARGO DOS SANTOS 36 \n", + "77590 11456 GABRIEL NAVEGA RIBEIRO DA SILVA MORELLI 11 \n", + "\n", + " SG_PARTIDO ... CD_GENERO DS_GENERO CD_GRAU_INSTRUCAO \\\n", + "0 PV ... 2 MASCULINO 6 \n", + "1 PSD ... 4 FEMININO 6 \n", + "2 REPUBLICANOS ... 4 FEMININO 6 \n", + "3 PSDB ... 2 MASCULINO 6 \n", + "4 MOBILIZA ... 2 MASCULINO 6 \n", + "... ... ... ... ... ... \n", + "77586 PP ... 4 FEMININO 7 \n", + "77587 PL ... 2 MASCULINO 4 \n", + "77588 PSD ... 2 MASCULINO 6 \n", + "77589 AGIR ... 2 MASCULINO 6 \n", + "77590 PP ... 2 MASCULINO 6 \n", + "\n", + " DS_GRAU_INSTRUCAO CD_ESTADO_CIVIL DS_ESTADO_CIVIL \\\n", + "0 ENSINO MÉDIO COMPLETO 3 CASADO(A) \n", + "1 ENSINO MÉDIO COMPLETO 3 CASADO(A) \n", + "2 ENSINO MÉDIO COMPLETO 1 SOLTEIRO(A) \n", + "3 ENSINO MÉDIO COMPLETO 3 CASADO(A) \n", + "4 ENSINO MÉDIO COMPLETO 3 CASADO(A) \n", + "... ... ... ... \n", + "77586 SUPERIOR INCOMPLETO 3 CASADO(A) \n", + "77587 ENSINO FUNDAMENTAL COMPLETO 3 CASADO(A) \n", + "77588 ENSINO MÉDIO COMPLETO 3 CASADO(A) \n", + "77589 ENSINO MÉDIO COMPLETO 3 CASADO(A) \n", + "77590 ENSINO MÉDIO COMPLETO 3 CASADO(A) \n", + "\n", + " CD_COR_RACA DS_COR_RACA CD_OCUPACAO \\\n", + "0 1 BRANCA 278 \n", + "1 1 BRANCA 243 \n", + "2 1 BRANCA 999 \n", + "3 1 BRANCA 999 \n", + "4 1 BRANCA 257 \n", + "... ... ... ... \n", + "77586 3 PARDA 598 \n", + "77587 1 BRANCA 237 \n", + "77588 2 PRETA 709 \n", + "77589 1 BRANCA 999 \n", + "77590 1 BRANCA 257 \n", + "\n", + " DS_OCUPACAO \n", + "0 VEREADOR \n", + "1 TÉCNICO DE ENFERMAGEM E ASSEMELHADOS (EXCETO E... \n", + "2 OUTROS \n", + "3 OUTROS \n", + "4 EMPRESÁRIO \n", + "... ... \n", + "77586 EMPREGADO DOMÉSTICO \n", + "77587 REPRESENTANTE COMERCIAL \n", + "77588 TRABALHADOR DE CONSTRUÇÃO CIVIL \n", + "77589 OUTROS \n", + "77590 EMPRESÁRIO \n", + "\n", + "[77591 rows x 23 columns]\n" + ] + } + ], + "source": [ + "# Lista das colunas que você deseja selecionar\n", + "colunas_selecionadas = [\n", + " 'SG_UF', 'SG_UE', 'NM_UE', 'CD_CARGO', 'DS_CARGO', 'SQ_CANDIDATO',\n", + " 'NR_CANDIDATO', 'NM_CANDIDATO', 'NR_PARTIDO', 'SG_PARTIDO', 'NM_PARTIDO', 'SG_UF_NASCIMENTO',\n", + " 'DT_NASCIMENTO', 'CD_GENERO', 'DS_GENERO', 'CD_GRAU_INSTRUCAO',\n", + " 'DS_GRAU_INSTRUCAO', 'CD_ESTADO_CIVIL', 'DS_ESTADO_CIVIL',\n", + " 'CD_COR_RACA', 'DS_COR_RACA', 'CD_OCUPACAO', 'DS_OCUPACAO'\n", + "]\n", + "\n", + "# Selecionando as colunas do DataFrame 'candidatos'\n", + "candidatos = candidato[colunas_selecionadas]\n", + "\n", + "# Exibir o DataFrame selecionado\n", + "print(candidatos)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "id": "pcwWBGs4QwpJ" + }, + "outputs": [], + "source": [ + "#Salvar copia da base\n", + "candidato_backup = candidatos.copy()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "jpM78vGp9Gvt" + }, + "source": [ + "-Base Complemento" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4AH4gu-Mm4DF", + "outputId": "16200183-2980-4c2f-9ee5-d689372cc4ff" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['DT_GERACAO', 'HH_GERACAO', 'ANO_ELEICAO', 'CD_ELEICAO', 'SQ_CANDIDATO',\n", + " 'CD_DETALHE_SITUACAO_CAND', 'DS_DETALHE_SITUACAO_CAND',\n", + " 'CD_NACIONALIDADE', 'DS_NACIONALIDADE', 'CD_MUNICIPIO_NASCIMENTO',\n", + " 'NM_MUNICIPIO_NASCIMENTO', 'NR_IDADE_DATA_POSSE', 'ST_QUILOMBOLA',\n", + " 'CD_ETNIA_INDIGENA', 'DS_ETNIA_INDIGENA', 'VR_DESPESA_MAX_CAMPANHA',\n", + " 'ST_REELEICAO', 'ST_DECLARAR_BENS', 'NR_PROTOCOLO_CANDIDATURA',\n", + " 'NR_PROCESSO', 'CD_SITUACAO_CANDIDATO_PLEITO',\n", + " 'DS_SITUACAO_CANDIDATO_PLEITO', 'CD_SITUACAO_CANDIDATO_URNA',\n", + " 'DS_SITUACAO_CANDIDATO_URNA', 'ST_CANDIDATO_INSERIDO_URNA',\n", + " 'NM_TIPO_DESTINACAO_VOTOS', 'CD_SITUACAO_CANDIDATO_TOT',\n", + " 'DS_SITUACAO_CANDIDATO_TOT', 'ST_PREST_CONTAS', 'ST_SUBSTITUIDO',\n", + " 'SQ_SUBSTITUIDO', 'SQ_ORDEM_SUPLENCIA', 'DT_ACEITE_CANDIDATURA',\n", + " 'CD_SITUACAO_JULGAMENTO', 'DS_SITUACAO_JULGAMENTO',\n", + " 'CD_SITUACAO_JULGAMENTO_PLEITO', 'DS_SITUACAO_JULGAMENTO_PLEITO',\n", + " 'CD_SITUACAO_JULGAMENTO_URNA', 'DS_SITUACAO_JULGAMENTO_URNA',\n", + " 'CD_SITUACAO_CASSACAO', 'DS_SITUACAO_CASSACAO',\n", + " 'CD_SITUACAO_CASSACAO_MIDIA', 'DS_SITUACAO_CASSACAO_MIDIA',\n", + " 'CD_SITUACAO_DIPLOMA', 'DS_SITUACAO_DIPLOMA'],\n", + " dtype='object')" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Verificar as colunas da base de dados\n", + "complemento.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "id": "yvXmP7GsTsmA", + "outputId": "fb167ae0-8170-4ac0-a7ec-d58e0aaa84a0" + }, + "outputs": [ + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "complemento" + }, + "text/html": [ + "\n", + "
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DT_GERACAOHH_GERACAOANO_ELEICAOCD_ELEICAOSQ_CANDIDATOCD_DETALHE_SITUACAO_CANDDS_DETALHE_SITUACAO_CANDCD_NACIONALIDADEDS_NACIONALIDADECD_MUNICIPIO_NASCIMENTO...CD_SITUACAO_JULGAMENTO_PLEITODS_SITUACAO_JULGAMENTO_PLEITOCD_SITUACAO_JULGAMENTO_URNADS_SITUACAO_JULGAMENTO_URNACD_SITUACAO_CASSACAODS_SITUACAO_CASSACAOCD_SITUACAO_CASSACAO_MIDIADS_SITUACAO_CASSACAO_MIDIACD_SITUACAO_DIPLOMADS_SITUACAO_DIPLOMA
027/08/202419:30:342024619250001971482-3#NE1BRASILEIRA NATA-3...-1#NULO#-1#NULO#-1#NULO#-1#NULO#-1#NULO#
127/08/202419:30:342024619250001899774-3#NE1BRASILEIRA NATA-3...-1#NULO#-1#NULO#-1#NULO#-1#NULO#-1#NULO#
227/08/202419:30:342024619250002147813-3#NE1BRASILEIRA NATA-3...-1#NULO#-1#NULO#-1#NULO#-1#NULO#-1#NULO#
327/08/202419:30:342024619250001968946-3#NE1BRASILEIRA NATA-3...-1#NULO#-1#NULO#-1#NULO#-1#NULO#-1#NULO#
427/08/202419:30:342024619250001951792-3#NE1BRASILEIRA NATA-3...-1#NULO#-1#NULO#-1#NULO#-1#NULO#-1#NULO#
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5 rows × 45 columns

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" + ], + "text/plain": [ + "DT_GERACAO 0\n", + "HH_GERACAO 0\n", + "ANO_ELEICAO 0\n", + "CD_ELEICAO 0\n", + "SQ_CANDIDATO 0\n", + "CD_DETALHE_SITUACAO_CAND 0\n", + "DS_DETALHE_SITUACAO_CAND 0\n", + "CD_NACIONALIDADE 0\n", + "DS_NACIONALIDADE 0\n", + "CD_MUNICIPIO_NASCIMENTO 0\n", + "NM_MUNICIPIO_NASCIMENTO 0\n", + "NR_IDADE_DATA_POSSE 0\n", + "ST_QUILOMBOLA 0\n", + "CD_ETNIA_INDIGENA 0\n", + "DS_ETNIA_INDIGENA 0\n", + "VR_DESPESA_MAX_CAMPANHA 0\n", + "ST_REELEICAO 0\n", + "ST_DECLARAR_BENS 0\n", + "NR_PROTOCOLO_CANDIDATURA 0\n", + "NR_PROCESSO 0\n", + "CD_SITUACAO_CANDIDATO_PLEITO 0\n", + "DS_SITUACAO_CANDIDATO_PLEITO 0\n", + "CD_SITUACAO_CANDIDATO_URNA 0\n", + "DS_SITUACAO_CANDIDATO_URNA 0\n", + "ST_CANDIDATO_INSERIDO_URNA 0\n", + "NM_TIPO_DESTINACAO_VOTOS 0\n", + "CD_SITUACAO_CANDIDATO_TOT 0\n", + "DS_SITUACAO_CANDIDATO_TOT 0\n", + "ST_PREST_CONTAS 0\n", + "ST_SUBSTITUIDO 0\n", + "SQ_SUBSTITUIDO 0\n", + "SQ_ORDEM_SUPLENCIA 0\n", + "DT_ACEITE_CANDIDATURA 0\n", + "CD_SITUACAO_JULGAMENTO 0\n", + "DS_SITUACAO_JULGAMENTO 0\n", + "CD_SITUACAO_JULGAMENTO_PLEITO 0\n", + "DS_SITUACAO_JULGAMENTO_PLEITO 0\n", + "CD_SITUACAO_JULGAMENTO_URNA 0\n", + "DS_SITUACAO_JULGAMENTO_URNA 0\n", + "CD_SITUACAO_CASSACAO 0\n", + "DS_SITUACAO_CASSACAO 0\n", + "CD_SITUACAO_CASSACAO_MIDIA 0\n", + "DS_SITUACAO_CASSACAO_MIDIA 0\n", + "CD_SITUACAO_DIPLOMA 0\n", + "DS_SITUACAO_DIPLOMA 0\n", + "dtype: int64" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Verificar nulos na base de dados complemento\n", + "complemento.isnull().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "BmIq9Irv76SO", + "outputId": "5c48468a-743e-4e09-d7a9-2af92b9e0adb" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(77591, 45)" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Quantidade de linhas\n", + "complemento.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "eGWsgeyxPr5W", + "outputId": "6d899258-09c2-4799-df63-5ad4607d37ee" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " SQ_CANDIDATO DS_NACIONALIDADE NM_MUNICIPIO_NASCIMENTO \\\n", + "0 250001971482 BRASILEIRA NATA SÃO PAULO \n", + "1 250001899774 BRASILEIRA NATA SÃO JOSÉ DO RIO PRETO \n", + "2 250002147813 BRASILEIRA NATA PARIQUERA-AÇU \n", + "3 250001968946 BRASILEIRA NATA COSMÓPOLIS \n", + "4 250001951792 BRASILEIRA NATA CAFELÂNDIA \n", + "... ... ... ... \n", + "77586 250002166022 BRASILEIRA NATA CAMPINAS \n", + "77587 250002119312 BRASILEIRA NATA SOROCABA \n", + "77588 250002219506 BRASILEIRA NATA PORECATU \n", + "77589 250002347047 BRASILEIRA NATA SÃO JOSÉ DO RIO PARDO \n", + "77590 250002136036 BRASILEIRA NATA SANTO ANDRÉ \n", + "\n", + " NR_IDADE_DATA_POSSE ST_QUILOMBOLA VR_DESPESA_MAX_CAMPANHA \\\n", + "0 53 N 129911.43 \n", + "1 41 N 68181.85 \n", + "2 53 N 61190.60 \n", + "3 39 N 109217.93 \n", + "4 47 N 15985.08 \n", + "... ... ... ... \n", + "77586 60 N 15985.08 \n", + "77587 58 N 206163.89 \n", + "77588 62 N 15985.08 \n", + "77589 56 N 15985.08 \n", + "77590 53 N -1.00 \n", + "\n", + " ST_REELEICAO ST_DECLARAR_BENS \n", + "0 N S \n", + "1 N S \n", + "2 N S \n", + "3 N S \n", + "4 N S \n", + "... ... ... \n", + "77586 N N \n", + "77587 N N \n", + "77588 N S \n", + "77589 N S \n", + "77590 N S \n", + "\n", + "[77591 rows x 8 columns]\n" + ] + } + ], + "source": [ + "# Lista das colunas que você deseja selecionar\n", + "colunas_selecionadas = [\n", + "'SQ_CANDIDATO', 'DS_NACIONALIDADE', 'NM_MUNICIPIO_NASCIMENTO',\n", + "'NR_IDADE_DATA_POSSE', 'ST_QUILOMBOLA', 'VR_DESPESA_MAX_CAMPANHA', 'ST_REELEICAO', 'ST_DECLARAR_BENS'\n", + "]\n", + "\n", + "# Selecionando as colunas do DataFrame 'candidatos'\n", + "complementos = complemento[colunas_selecionadas]\n", + "\n", + "# Exibir o DataFrame selecionado\n", + "print(complementos)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "id": "9C_Uc9X3Q_vO" + }, + "outputs": [], + "source": [ + "#Salvar copia da base\n", + "complemento_backup = complementos.copy()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "z-vOomdqU6x7" + }, + "source": [ + "- **JOIN** para unir as tabelas" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "F3MJ4weQNjyv", + "outputId": "b8d1bd8d-31e7-469d-e63e-7a3745ff475f" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " SG_UF SG_UE NM_UE CD_CARGO DS_CARGO \\\n", + "0 SP 72230 VALENTIM GENTIL 13 VEREADOR \n", + "1 SP 64319 GABRIEL MONTEIRO 13 VEREADOR \n", + "2 SP 64319 GABRIEL MONTEIRO 13 VEREADOR \n", + "3 SP 72273 VALPARAÍSO 13 VEREADOR \n", + "4 SP 63118 CARAGUATATUBA 13 VEREADOR \n", + "... ... ... ... ... ... \n", + "77586 SP 62111 BARRINHA 13 VEREADOR \n", + "77587 SP 71498 SUMARÉ 13 VEREADOR \n", + "77588 SP 64874 IBATÉ 13 VEREADOR \n", + "77589 SP 71153 SÃO SEBASTIÃO 13 VEREADOR \n", + "77590 SP 70955 SÃO JOSÉ DO RIO PARDO 13 VEREADOR \n", + "\n", + " SQ_CANDIDATO_Candidato NR_CANDIDATO \\\n", + "0 250002276626 43777 \n", + "1 250002275730 55555 \n", + "2 250002277051 10100 \n", + "3 250002279457 45645 \n", + "4 250002275840 33789 \n", + "... ... ... \n", + "77586 250001920422 11234 \n", + "77587 250001942575 22224 \n", + "77588 250001946083 55555 \n", + "77589 250002341798 36000 \n", + "77590 250002346612 11456 \n", + "\n", + " NM_CANDIDATO NR_PARTIDO SG_PARTIDO \\\n", + "0 IZAQUIEL ALVES DA SILVA 43 PV \n", + "1 FERNANDA DONADONI BELORTI 55 PSD \n", + "2 JAQUELINE FIM DOS SANTOS 10 REPUBLICANOS \n", + "3 HELZIO RAMOS BORGES 45 PSDB \n", + "4 LUIZ CESAR OLIVEIRA PEREIRA 33 MOBILIZA \n", + "... ... ... ... \n", + "77586 APARECIDA DO PERPETUO SOCORRO LEMOS OLIVEIRA 11 PP \n", + "77587 RANGEL PESTANA COSTA 22 PL \n", + "77588 IVANILDO DE OLIVEIRA LINS 55 PSD \n", + "77589 IVAN CAMARGO DOS SANTOS 36 AGIR \n", + "77590 GABRIEL NAVEGA RIBEIRO DA SILVA MORELLI 11 PP \n", + "\n", + " ... CD_OCUPACAO DS_OCUPACAO \\\n", + "0 ... 278 VEREADOR \n", + "1 ... 243 TÉCNICO DE ENFERMAGEM E ASSEMELHADOS (EXCETO E... \n", + "2 ... 999 OUTROS \n", + "3 ... 999 OUTROS \n", + "4 ... 257 EMPRESÁRIO \n", + "... ... ... ... \n", + "77586 ... 598 EMPREGADO DOMÉSTICO \n", + "77587 ... 237 REPRESENTANTE COMERCIAL \n", + "77588 ... 709 TRABALHADOR DE CONSTRUÇÃO CIVIL \n", + "77589 ... 999 OUTROS \n", + "77590 ... 257 EMPRESÁRIO \n", + "\n", + " SQ_CANDIDATO_Complemento DS_NACIONALIDADE NM_MUNICIPIO_NASCIMENTO \\\n", + "0 250002276626 BRASILEIRA NATA PARNARAMA \n", + "1 250002275730 BRASILEIRA NATA GABRIEL MONTEIRO \n", + "2 250002277051 BRASILEIRA NATA IVINHEMA \n", + "3 250002279457 BRASILEIRA NATA VALPARAÍSO \n", + "4 250002275840 BRASILEIRA NATA SANTOS \n", + "... ... ... ... \n", + "77586 250001920422 BRASILEIRA NATA MINAS NOVAS \n", + "77587 250001942575 BRASILEIRA NATA SÃO PAULO \n", + "77588 250001946083 BRASILEIRA NATA PINTADAS \n", + "77589 250002341798 BRASILEIRA NATA SANTOS \n", + "77590 250002346612 BRASILEIRA NATA SÃO JOSÉ DO RIO PARDO \n", + "\n", + " NR_IDADE_DATA_POSSE ST_QUILOMBOLA VR_DESPESA_MAX_CAMPANHA \\\n", + "0 60 N 15985.08 \n", + "1 44 N 15985.08 \n", + "2 30 N 15985.08 \n", + "3 59 N 21953.70 \n", + "4 62 N 137082.98 \n", + "... ... ... ... \n", + "77586 57 N 46292.53 \n", + "77587 67 N 116449.39 \n", + "77588 50 N 15985.08 \n", + "77589 42 N 87193.86 \n", + "77590 41 N 15985.08 \n", + "\n", + " ST_REELEICAO ST_DECLARAR_BENS \n", + "0 S S \n", + "1 S S \n", + "2 N S \n", + "3 N S \n", + "4 N S \n", + "... ... ... \n", + "77586 N S \n", + "77587 N S \n", + "77588 S S \n", + "77589 N S \n", + "77590 N S \n", + "\n", + "[77591 rows x 31 columns]\n" + ] + } + ], + "source": [ + "# Renomear a coluna duplicada no DataFrame 'candidatos'\n", + "candidatos = candidatos.rename(columns={'SQ_CANDIDATO': 'SQ_CANDIDATO_Candidato'})\n", + "complementos = complementos.rename(columns={'SQ_CANDIDATO': 'SQ_CANDIDATO_Complemento'})\n", + "\n", + "# Conexão com SQLite em memória\n", + "conn = sqlite3.connect(':memory:')\n", + "\n", + "# Salvar os DataFrames como tabelas SQLite\n", + "candidatos.to_sql('candidato', conn, index=False)\n", + "complementos.to_sql('complemento', conn, index=False)\n", + "\n", + "# Realizar o JOIN com as colunas renomeadas\n", + "eleicao = pd.read_sql_query('SELECT * FROM candidato JOIN complemento ON candidato.SQ_CANDIDATO_Candidato = complemento.SQ_CANDIDATO_Complemento', conn)\n", + "\n", + "# Fechar a conexão\n", + "conn.close()\n", + "\n", + "# Exibir o resultado\n", + "print(eleicao)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "id": "D243i1ozhCaQ", + "outputId": "f0e36fd4-22e1-45cc-f049-f61b68e77608" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + "SG_UF 0\n", + "SG_UE 0\n", + "NM_UE 0\n", + "CD_CARGO 0\n", + "DS_CARGO 0\n", + "SQ_CANDIDATO_Candidato 0\n", + "NR_CANDIDATO 0\n", + "NM_CANDIDATO 0\n", + "NR_PARTIDO 0\n", + "SG_PARTIDO 0\n", + "NM_PARTIDO 0\n", + "SG_UF_NASCIMENTO 0\n", + "DT_NASCIMENTO 0\n", + "CD_GENERO 0\n", + "DS_GENERO 0\n", + "CD_GRAU_INSTRUCAO 0\n", + "DS_GRAU_INSTRUCAO 0\n", + "CD_ESTADO_CIVIL 0\n", + "DS_ESTADO_CIVIL 0\n", + "CD_COR_RACA 0\n", + "DS_COR_RACA 0\n", + "CD_OCUPACAO 0\n", + "DS_OCUPACAO 0\n", + "SQ_CANDIDATO_Complemento 0\n", + "DS_NACIONALIDADE 0\n", + "NM_MUNICIPIO_NASCIMENTO 0\n", + "NR_IDADE_DATA_POSSE 0\n", + "ST_QUILOMBOLA 0\n", + "VR_DESPESA_MAX_CAMPANHA 0\n", + "ST_REELEICAO 0\n", + "ST_DECLARAR_BENS 0\n", + "dtype: int64" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Verificar nulos na base de dados complemento\n", + "eleicao.isnull().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "GPK7n3aytAxS" + }, + "source": [ + "- **Análise de Outliers**.\n", + "Identifiquei 10 candidatos com valores exorbitantes na base de dados (VR_DESPESA_MAX_CAMPANHA).\n", + "\n", + "*R$67.276.114,50 (sessenta e sete milhões, duzentos e setenta e seis mil, cento e quatorze reais e cinquenta centavos)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XQnvumgDtXM9", + "outputId": "f00b56f4-6113-41cc-e811-a79312844808" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " SG_UF SG_UE NM_UE CD_CARGO DS_CARGO SQ_CANDIDATO_Candidato \\\n", + "4177 SP 71072 SÃO PAULO 11 PREFEITO 250002098117 \n", + "9090 SP 71072 SÃO PAULO 11 PREFEITO 250001978066 \n", + "14305 SP 71072 SÃO PAULO 11 PREFEITO 250002180213 \n", + "38759 SP 71072 SÃO PAULO 11 PREFEITO 250002355541 \n", + "48452 SP 71072 SÃO PAULO 11 PREFEITO 250001884312 \n", + "51774 SP 71072 SÃO PAULO 11 PREFEITO 250002078851 \n", + "61624 SP 71072 SÃO PAULO 11 PREFEITO 250001926547 \n", + "64331 SP 71072 SÃO PAULO 11 PREFEITO 250002163891 \n", + "64458 SP 71072 SÃO PAULO 11 PREFEITO 250002031025 \n", + "72385 SP 71072 SÃO PAULO 11 PREFEITO 250002362195 \n", + "\n", + " NR_CANDIDATO NM_CANDIDATO NR_PARTIDO \\\n", + "4177 15 RICARDO LUIS REIS NUNES 15 \n", + "9090 28 PABLO HENRIQUE COSTA MARÇAL 28 \n", + "14305 45 JOSE LUIZ DATENA 45 \n", + "38759 27 ALBERTO FELIPPE HADDAD FILHO 27 \n", + "48452 30 MARINA HELENA CUNHA PEREIRA SANTOS 30 \n", + "51774 16 ALTINO DE MELO PRAZERES JUNIOR 16 \n", + "61624 50 GUILHERME CASTRO BOULOS 50 \n", + "64331 40 TABATA CLÁUDIA AMARAL DE PONTES 40 \n", + "64458 80 RICARDO SENESE 80 \n", + "72385 29 JOÃO JORGE CAPRONI COSTA PIMENTA 29 \n", + "\n", + " SG_PARTIDO ... CD_OCUPACAO DS_OCUPACAO \\\n", + "4177 MDB ... 275 PREFEITO \n", + "9090 PRTB ... 257 EMPRESÁRIO \n", + "14305 PSDB ... 171 JORNALISTA E REDATOR \n", + "38759 DC ... 125 ADMINISTRADOR \n", + "48452 NOVO ... 121 ECONOMISTA \n", + "51774 PSTU ... 187 FERROVIÁRIO \n", + "61624 PSOL ... 277 DEPUTADO \n", + "64331 PSB ... 277 DEPUTADO \n", + "64458 UP ... 187 FERROVIÁRIO \n", + "72385 PCO ... 171 JORNALISTA E REDATOR \n", + "\n", + " SQ_CANDIDATO_Complemento DS_NACIONALIDADE NM_MUNICIPIO_NASCIMENTO \\\n", + "4177 250002098117 BRASILEIRA NATA SÃO PAULO \n", + "9090 250001978066 BRASILEIRA NATA GOIÂNIA \n", + "14305 250002180213 BRASILEIRA NATA RIBEIRÃO PRETO \n", + "38759 250002355541 BRASILEIRA NATA SÃO LUÍS \n", + "48452 250001884312 BRASILEIRA NATA BRASÍLIA \n", + "51774 250002078851 BRASILEIRA NATA SÃO LUÍS \n", + "61624 250001926547 BRASILEIRA NATA SÃO PAULO \n", + "64331 250002163891 BRASILEIRA NATA SÃO PAULO \n", + "64458 250002031025 BRASILEIRA NATA SÃO PAULO \n", + "72385 250002362195 BRASILEIRA NATA SÃO PAULO \n", + "\n", + " NR_IDADE_DATA_POSSE ST_QUILOMBOLA VR_DESPESA_MAX_CAMPANHA \\\n", + "4177 57 N 67276114.5 \n", + "9090 37 N 67276114.5 \n", + "14305 67 N 67276114.5 \n", + "38759 68 N 67276114.5 \n", + "48452 44 N 67276114.5 \n", + "51774 57 N 67276114.5 \n", + "61624 42 N 67276114.5 \n", + "64331 31 N 67276114.5 \n", + "64458 37 N 67276114.5 \n", + "72385 27 N 67276114.5 \n", + "\n", + " ST_REELEICAO ST_DECLARAR_BENS \n", + "4177 S S \n", + "9090 N S \n", + "14305 N S \n", + "38759 N S \n", + "48452 N S \n", + "51774 N S \n", + "61624 N S \n", + "64331 N S \n", + "64458 N S \n", + "72385 N S \n", + "\n", + "[10 rows x 31 columns]\n" + ] + } + ], + "source": [ + "# Filtrando os valores maiores que 10.000.000,00 (10 milhoes) na coluna VR_DESPESA_MAX_CAMPANHA\n", + "eleicoes_filtradas = eleicao[eleicao['VR_DESPESA_MAX_CAMPANHA'] >= 10000000.00]\n", + "\n", + "# Exibindo o DataFrame filtrado\n", + "print(eleicoes_filtradas)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "K0UdlGlM1CJo" + }, + "source": [ + "- Notei que os dados acima não representam outliers, mas sim os valores reais de campanha dos atuais candidatos à prefeitura de São Paulo." + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "id": "_RUpjM-WUaYD", + "outputId": "fe3c40bc-57c0-4fdd-8701-500fb314ae3c" + }, + "outputs": [ + { + "data": { + "application/javascript": "\n async function download(id, filename, size) {\n if (!google.colab.kernel.accessAllowed) {\n return;\n }\n const div = document.createElement('div');\n const label = document.createElement('label');\n label.textContent = `Downloading \"${filename}\": `;\n div.appendChild(label);\n const progress = document.createElement('progress');\n progress.max = size;\n div.appendChild(progress);\n document.body.appendChild(div);\n\n const buffers = [];\n let downloaded = 0;\n\n const channel = await google.colab.kernel.comms.open(id);\n // Send a message to notify the kernel that we're ready.\n channel.send({})\n\n for await (const message of channel.messages) {\n // Send a message to notify the kernel that we're ready.\n channel.send({})\n if (message.buffers) {\n for (const buffer of message.buffers) {\n buffers.push(buffer);\n downloaded += buffer.byteLength;\n progress.value = downloaded;\n }\n }\n }\n const blob = new Blob(buffers, {type: 'application/binary'});\n const a = document.createElement('a');\n a.href = window.URL.createObjectURL(blob);\n a.download = filename;\n div.appendChild(a);\n a.click();\n div.remove();\n }\n ", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": "download(\"download_c537b138-3ac6-404c-b22a-6b8ec1fe70ac\", \"candidatosSP.csv\", 20293611)", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#salvar no csv\n", + "eleicao.to_csv('candidatosSP.csv', index=False)\n", + "\n", + "#baixar arquivo csv\n", + "files.download('candidatosSP.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "G3bW46cT8j-x" + }, + "source": [ + "#Visualizações Gráficas 📉📈" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "cQpRts54bOh1" + }, + "source": [ + " - **Distribuição de Gênero:** Analisar a proporção de candidatos por gênero (`CD_GENERO`, `DS_GENERO`)." + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ffwAURWWuFbQ", + "outputId": "f34ebd4f-fb73-424a-aaa0-d108d7d57dde" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['MASCULINO', 'FEMININO'], dtype=object)" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Visualizar os valores únicos na coluna DS_GENERO\n", + "eleicao['DS_GENERO'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 210 + }, + "id": "eF2oXbTYvt0j", + "outputId": "eb9aa89c-cdee-495b-9c05-3746f9752cc4" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + "count 77591\n", + "unique 2\n", + "top MASCULINO\n", + "freq 51168\n", + "Name: DS_GENERO, dtype: object" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Descrever estatísticas da coluna DS_GENERO\n", + "eleicao['DS_GENERO'].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 573 + }, + "id": "RmtR7e_caJeV", + "outputId": "6725fc28-e0c6-47a0-eb5d-daeb96e89015" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Configurações para gráficos\n", + "sns.set(style=\"whitegrid\")\n", + "plt.figure(figsize=(8, 6))\n", + "\n", + "# Distribuição de Gênero\n", + "ax = sns.countplot(x='DS_GENERO', data=eleicao, palette='Set2', hue='DS_GENERO')\n", + "plt.title('Distribuição de Gênero')\n", + "plt.xlabel('Gênero')\n", + "plt.ylabel('Número de Candidatos')\n", + "\n", + "# Adicionar rótulos às barras\n", + "for index, value in enumerate(eleicao['DS_GENERO'].value_counts()):\n", + " plt.text(index, value, str(value), ha='center', va='bottom')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "PDw05_q6bStK" + }, + "source": [ + " - **Distribuição por Partido:** Avaliar a quantidade de candidatos por partido (`SG_PARTIDO`, `NM_PARTIDO`)." + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 727 + }, + "id": "9VqXW0dMbTmJ", + "outputId": "9ca1ba63-0f3d-49b0-cf4d-9214495bae6a" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Configurações para gráficos\n", + "sns.set(style=\"whitegrid\")\n", + "plt.figure(figsize=(15, 8))\n", + "\n", + "# Top 10 Partidos com Mais Candidatos\n", + "partido_count = eleicao['SG_PARTIDO'].value_counts().head(10)\n", + "\n", + "# Convertendo para DataFrame para compatibilidade com o Seaborn\n", + "df_partidos = partido_count.reset_index()\n", + "df_partidos.columns = ['Partido', 'Número de Candidatos']\n", + "\n", + "# Gerar a paleta de cores\n", + "palette = sns.color_palette('viridis', n_colors=len(df_partidos))\n", + "\n", + "# Criar o gráfico\n", + "sns.barplot(x='Número de Candidatos', y='Partido', data=df_partidos, palette=palette, order=df_partidos['Partido'], hue='Partido')\n", + "\n", + "# Adicionar rótulos às barras\n", + "for index, value in enumerate(df_partidos['Número de Candidatos']):\n", + " plt.text(value, index, str(value), ha='left', va='center')\n", + "\n", + "plt.title('Top 10 Partidos com Mais Candidatos')\n", + "plt.xlabel('Número de Candidatos')\n", + "plt.ylabel('Partido')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "tvzOZfrOd3h0" + }, + "source": [ + " - **Idade dos Candidatos:** Calcular a idade dos candidatos com base na data de nascimento (`DT_NASCIMENTO`) e analisar a distribuição de idades." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 573 + }, + "id": "7fnkHTUpd4kZ", + "outputId": "3b4466a0-b897-4dae-bd0c-49f33d3d6783" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Configurações para gráficos\n", + "sns.set(style=\"whitegrid\")\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Converter a coluna DT_NASCIMENTO para o formato de data\n", + "eleicao['DT_NASCIMENTO'] = pd.to_datetime(eleicao['DT_NASCIMENTO'], format='%d/%m/%Y')\n", + "\n", + "# Função para calcular a idade\n", + "def calcular_idade(data_nascimento):\n", + " hoje = datetime.today()\n", + " idade = hoje.year - data_nascimento.year - ((hoje.month, hoje.day) < (data_nascimento.month, data_nascimento.day))\n", + " return idade\n", + "\n", + "# Aplicar a função para calcular a idade\n", + "eleicao['IDADE'] = eleicao['DT_NASCIMENTO'].apply(calcular_idade)\n", + "\n", + "# Criar o gráfico de distribuição de idades - histograma\n", + "sns.histplot(eleicao['IDADE'], bins=30, kde=True, color='b')\n", + "\n", + "plt.title('Distribuição de Idades dos Candidatos')\n", + "plt.xlabel('Idade')\n", + "plt.ylabel('Número de Candidatos')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "eTMrQZ7id6Zo" + }, + "source": [ + " - **Comparação por Escolaridade:** Comparar os candidatos com diferentes níveis de escolaridade (`CD_GRAU_INSTRUCAO`, `DS_GRAU_INSTRUCAO`)." + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 727 + }, + "id": "tPMu5d8Id67Y", + "outputId": "86963697-dd09-4fd2-c356-7566893f9c27" + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Configurações para gráficos\n", + "sns.set(style=\"whitegrid\")\n", + "plt.figure(figsize=(12, 8))\n", + "\n", + "# Contar o número de candidatos por nível de escolaridade\n", + "escolaridade_count = eleicao['DS_GRAU_INSTRUCAO'].value_counts()\n", + "\n", + "# Criar o DataFrame para o gráfico\n", + "df_escolaridade = escolaridade_count.reset_index()\n", + "df_escolaridade.columns = ['Grau de Instrução', 'Número de Candidatos']\n", + "\n", + "# Criar o gráfico de barras\n", + "ax = sns.barplot(x='Número de Candidatos', y='Grau de Instrução', data=df_escolaridade, hue='Grau de Instrução', dodge=False, palette='viridis', legend=False)\n", + "\n", + "plt.title('Número de Candidatos por Nível de Escolaridade')\n", + "plt.xlabel('Número de Candidatos')\n", + "plt.ylabel('Grau de Instrução')\n", + "\n", + "# Adicionar rótulos às barras\n", + "for index, row in df_escolaridade.iterrows():\n", + " ax.annotate(f\"{row['Número de Candidatos']}\", xy=(row['Número de Candidatos'], index), ha='left', va='center')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "oD7Lv9JHj7PL" + }, + "source": [ + " - **Comparação por Estado Civil:** Analisar a relação entre estado civil ( `DS_ESTADO_CIVIL`) e outros atributos, como número de candidatos." + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 542 + }, + "id": "YVjTFl7Lge6S", + "outputId": "9ad78d14-b49a-4d9b-d1e7-76848be31e18" + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "
\n", + "
\n", + "\n", + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Contar o número de candidatos por estado civil\n", + "estado_civil_count = eleicao['DS_ESTADO_CIVIL'].value_counts()\n", + "\n", + "# Criar o DataFrame para o gráfico\n", + "df_estado_civil = estado_civil_count.reset_index()\n", + "df_estado_civil.columns = ['Estado Civil', 'Número de Candidatos']\n", + "\n", + "# Criar o gráfico de barras\n", + "fig = px.bar(df_estado_civil, x='Número de Candidatos', y='Estado Civil', color='Estado Civil', title='Número de Candidatos por Estado Civil')\n", + "fig.update_layout(xaxis_title='Número de Candidatos', yaxis_title='Estado Civil')\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 573 + }, + "id": "9Tc5aUjsj7nt", + "outputId": "312ccc1c-e65d-42ec-c856-ed5100a5d01b" + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Configurações para gráficos\n", + "sns.set(style=\"whitegrid\")\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Contar o número de candidatos por estado civil\n", + "estado_civil_count = eleicao['DS_ESTADO_CIVIL'].value_counts()\n", + "\n", + "# Criar o DataFrame para o gráfico\n", + "df_estado_civil = estado_civil_count.reset_index()\n", + "df_estado_civil.columns = ['Estado Civil', 'Número de Candidatos']\n", + "\n", + "# Criar o gráfico de barras\n", + "sns.barplot(x='Número de Candidatos', y='Estado Civil', data=df_estado_civil, hue='Estado Civil', dodge=False, palette='viridis', legend=False)\n", + "\n", + "plt.title('Número de Candidatos por Estado Civil')\n", + "plt.xlabel('Número de Candidatos')\n", + "plt.ylabel('Estado Civil')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "qHXEMBYakibR" + }, + "source": [ + " - **Diversidade Racial:** Analisar a distribuição de candidatos por raça/cor (`CD_COR_RACA`, `DS_COR_RACA`)." + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 542 + }, + "id": "o0TMpl4oiBAo", + "outputId": "e3657023-709c-45e5-9ec3-e5a80c268c82" + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "
\n", + "
\n", + "\n", + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Contar o número de candidatos por raça/cor\n", + "cor_raca_count = eleicao['DS_COR_RACA'].value_counts()\n", + "\n", + "# Criar o DataFrame para o gráfico\n", + "df_cor_raca = cor_raca_count.reset_index()\n", + "df_cor_raca.columns = ['Cor/Raça', 'Número de Candidatos']\n", + "\n", + "# Criar o gráfico de barras com a plotly\n", + "fig = px.bar(df_cor_raca, x='Número de Candidatos', y='Cor/Raça', color='Cor/Raça', title='Número de Candidatos por Cor/Raça')\n", + "fig.update_layout(xaxis_title='Número de Candidatos', yaxis_title='Cor/Raça')\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 727 + }, + "id": "pDCc8i7Eki5L", + "outputId": "bb3f6d8e-6dee-454a-ca03-af14c6e4eb42" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Configurações para gráficos\n", + "sns.set(style=\"whitegrid\")\n", + "plt.figure(figsize=(12, 8))\n", + "\n", + "# Contar o número de candidatos por raça/cor\n", + "cor_raca_count = eleicao['DS_COR_RACA'].value_counts()\n", + "\n", + "# Criar o DataFrame para o gráfico\n", + "df_cor_raca = cor_raca_count.reset_index()\n", + "df_cor_raca.columns = ['Cor/Raça', 'Número de Candidatos']\n", + "\n", + "# Criar o gráfico de barras com matplotlib\n", + "ax = sns.barplot(x='Número de Candidatos', y='Cor/Raça', data=df_cor_raca, hue='Cor/Raça', dodge=False, palette='viridis', legend=False)\n", + "\n", + "plt.title('Número de Candidatos por Cor/Raça')\n", + "plt.xlabel('Número de Candidatos')\n", + "plt.ylabel('Cor/Raça')\n", + "\n", + "# Adicionar rótulos às barras\n", + "for index, row in df_cor_raca.iterrows():\n", + " ax.annotate(f\"{row['Número de Candidatos']}\", xy=(row['Número de Candidatos'], index), ha='left', va='center')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4jfbj3Blk7kp" + }, + "source": [ + " - **Diversidade por Ocupação:** Estudar as ocupações mais comuns entre os candidatos (`DS_OCUPACAO`)." + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "NFmDuHJflA7K", + "outputId": "fa5f78c2-2c25-467f-d3c5-79b8776fa2a5" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Ocupação Número de Candidatos\n", + "0 OUTROS 19192\n", + "1 EMPRESÁRIO 6699\n", + "2 SERVIDOR PÚBLICO MUNICIPAL 5943\n", + "3 COMERCIANTE 3965\n", + "4 APOSENTADO (EXCETO SERVIDOR PÚBLICO) 3936\n", + ".. ... ...\n", + "233 ARQUEÓLOGO 1\n", + "232 JOALHEIRO E OURIVES 1\n", + "230 MAGISTRADO 1\n", + "229 MINISTRO DE ESTADO 1\n", + "239 GEOFÍSICO 1\n", + "\n", + "[240 rows x 2 columns]\n" + ] + } + ], + "source": [ + "# Carregar o arquivo CSV\n", + "df = pd.read_csv('/content/candidatosSP.csv')\n", + "\n", + "# Contar o número de candidatos por ocupação\n", + "ocupacao_count = df['DS_OCUPACAO'].value_counts()\n", + "\n", + "# Criar o DataFrame para a tabela\n", + "df_ocupacao = ocupacao_count.reset_index()\n", + "df_ocupacao.columns = ['Ocupação', 'Número de Candidatos']\n", + "\n", + "# Ordenar a tabela em ordem decrescente de número de candidatos\n", + "df_ocupacao = df_ocupacao.sort_values(by='Número de Candidatos', ascending=False)\n", + "\n", + "# Exibir a tabela\n", + "print(df_ocupacao)" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "adF3fgAimXje", + "outputId": "e8f23c20-6b08-4755-886c-7452c0a5b535" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Ocupação Número de Candidatos\n", + "0 OUTROS 19192\n", + "1 EMPRESÁRIO 6699\n", + "2 SERVIDOR PÚBLICO MUNICIPAL 5943\n", + "3 COMERCIANTE 3965\n", + "4 APOSENTADO (EXCETO SERVIDOR PÚBLICO) 3936\n", + "5 ADVOGADO 2310\n", + "6 VEREADOR 2127\n", + "7 DONA DE CASA 1925\n", + "8 ADMINISTRADOR 1808\n", + "9 PROFESSOR DE ENSINO FUNDAMENTAL 1154\n", + "10 MOTORISTA DE VEÍCULOS DE TRANSPORTE COLETIVO DE PASSAGEIROS 1117\n", + "11 AGRICULTOR 991\n", + "12 CABELEIREIRO E BARBEIRO 902\n", + "13 PROFESSOR DE ENSINO MÉDIO 875\n", + "14 MOTORISTA PARTICULAR 859\n", + "15 MOTORISTA DE VEÍCULOS DE TRANSPORTE DE CARGA 858\n", + "16 VENDEDOR DE COMÉRCIO VAREJISTA E ATACADISTA 770\n", + "17 ENFERMEIRO 688\n", + "18 TRABALHADOR DE CONSTRUÇÃO CIVIL 651\n", + "19 CORRETOR DE IMÓVEIS, SEGUROS, TÍTULOS E VALORES 632\n", + "20 VIGILANTE 617\n", + "21 TÉCNICO DE ENFERMAGEM E ASSEMELHADOS (EXCETO ENFERMEIRO) 599\n", + "22 AUXILIAR DE ESCRITÓRIO E ASSEMELHADOS 586\n", + "23 MECÂNICO DE MANUTENÇÃO 551\n", + "24 ENGENHEIRO 548\n", + "25 SERVIDOR PÚBLICO ESTADUAL 547\n", + "26 MÉDICO 509\n", + "27 GERENTE 487\n", + "28 POLICIAL MILITAR 485\n", + "29 TRABALHADOR RURAL 465\n", + "30 ESTUDANTE, BOLSISTA, ESTAGIÁRIO E ASSEMELHADOS 464\n", + "31 VENDEDOR PRACISTA, REPRESENTANTE, CAIXEIRO-VIAJANTE E ASSEMELHADOS 418\n", + "32 ELETRICISTA E ASSEMELHADOS 376\n", + "33 AGENTE ADMINISTRATIVO 367\n", + "34 PEDAGOGO 362\n", + "35 JORNALISTA E REDATOR 354\n", + "36 ASSISTENTE SOCIAL 354\n", + "37 COZINHEIRO 336\n", + "38 PROFESSOR DE ENSINO DE PRIMEIRO E SEGUNDO GRAUS 333\n", + "39 AGENTE DE SAÚDE E SANITARISTA 308\n", + "40 COMERCIÁRIO 279\n", + "41 CONTADOR 266\n", + "42 PROFESSOR E INSTRUTOR DE FORMAÇÃO PROFISSIONAL 253\n", + "43 PREFEITO 247\n", + "44 OPERADOR DE APARELHOS DE PRODUÇÃO INDUSTRIAL 245\n", + "45 REPRESENTANTE COMERCIAL 244\n", + "46 PSICÓLOGO 234\n", + "47 FARMACÊUTICO 233\n", + "48 MILITAR REFORMADO 230\n", + "49 SERVIDOR PÚBLICO CIVIL APOSENTADO 229\n", + "50 PRODUTOR AGROPECUÁRIO 225\n", + "51 FAXINEIRO 224\n", + "52 FRENTISTA 223\n", + "53 FISIOTERAPEUTA E TERAPEUTA OCUPACIONAL 218\n", + "54 VETERINÁRIO 214\n", + "55 ODONTÓLOGO 210\n", + "56 CABELEIREIRO, BARBEIRO, MANICURE, MAQUILADOR, ESTETICISTA E MASSAGISTA 196\n", + "57 EMPREGADO DOMÉSTICO 185\n", + "58 MOTOBOY 179\n", + "59 OPERADOR DE IMPLEMENTO DE AGRICULTURA, PECUÁRIA E EXPLORAÇÃO FLORESTAL 178\n", + "60 PROFESSOR DE ENSINO SUPERIOR 177\n", + "62 RECEPCIONISTA 172\n", + "61 PECUARISTA 172\n", + "63 TAXISTA 151\n", + "64 POLICIAL CIVIL 150\n", + "65 MÚSICO 147\n", + "66 DIRETOR DE ESTABELECIMENTO DE ENSINO 147\n", + "67 LOCUTOR E COMENTARISTA DE RÁDIO E TELEVISÃO E RADIALISTA 141\n", + "68 MANICURE E MAQUILADOR 141\n", + "69 PADEIRO, CONFEITEIRO E ASSEMELHADOS 139\n", + "70 TÉCNICO DE ELETRICIDADE, ELETRÔNICA E TELECOMUNICAÇÕES 137\n", + "71 JARDINEIRO 136\n", + "72 PUBLICITÁRIO 134\n", + "73 ARTESÃO 133\n", + "74 ARQUITETO 124\n", + "75 CARPINTEIRO, MARCENEIRO E ASSEMELHADOS 118\n", + "77 SERRALHEIRO 116\n", + "76 SUPERVISOR, INSPETOR E AGENTE DE COMPRAS E VENDAS 116\n", + "78 SACERDOTE OU MEMBRO DE ORDEM OU SEITA RELIGIOSA 112\n", + "79 BANCÁRIO E ECONOMIÁRIO 111\n", + "80 PORTEIRO DE EDIFÍCIO, ASCENSORISTA, GARAGISTA E ZELADOR 109\n", + "81 ESTETICISTA 96\n", + "82 SERVIDOR PÚBLICO FEDERAL 94\n", + "83 TERAPEUTA 94\n", + "84 ANALISTA DE SISTEMAS 91\n", + "85 FOTÓGRAFO E ASSEMELHADOS 90\n", + "86 CANTOR E COMPOSITOR 90\n", + "87 SECRETÁRIO,ESTENÓGRAFO,DATILÓGRAFO,RECEPCIONISTA,TELEFONISTA,TAQUÍGRAF 86\n", + "88 FISCAL 85\n", + "90 TRABALHADOR METALÚRGICO E SIDERÚRGICO 83\n", + "89 BOMBEIRO CIVIL 83\n", + "91 ALMOXARIFE 82\n", + "92 FUNILEIRO 77\n", + "93 GARÇOM 74\n", + "94 ATENDENTE DE LANCHONETE E RESTAURANTE 73\n", + "95 TÉCNICO DE LABORATÓRIO E RAIOS X 67\n", + "96 TÉCNICO DE OBRAS CIVIS, ESTRADAS, SANEAMENTO E ASSEMELHADOS 62\n", + "97 TÉCNICO CONTABILIDADE, ESTATÍSTICA, ECONOMIA DOMÉSTICA E ADMINISTRAÇÃO 60\n", + "98 ENCANADOR, SOLDADOR, CHAPEADOR E CALDEIREIRO 60\n", + "99 ATLETA PROFISSIONAL E TÉCNICO EM DESPORTOS 59\n", + "100 NUTRICIONISTA E ASSEMELHADOS 57\n", + "101 AGRÔNOMO 56\n", + "102 OCUPANTE DE CARGO EM COMISSÃO 55\n", + "103 ECONOMISTA 54\n", + "104 SECRETÁRIO E DATILÓGRAFO 54\n", + "105 INDUSTRIAL 51\n", + "106 TÉCNICO EM INFORMÁTICA 48\n", + "107 AGENTE POSTAL 47\n", + "108 DESPACHANTE 47\n", + "109 PESCADOR 47\n", + "110 DIRETOR DE EMPRESAS 44\n", + "111 CATADOR DE RECICLÁVEIS 44\n", + "112 TÉCNICO EM AGRONOMIA E AGRIMENSURA 44\n", + "113 ALFAIATE E COSTUREIRO 43\n", + "114 TÉCNICO DE MECÂNICA 42\n", + "115 GARI OU LIXEIRO 41\n", + "116 ARTISTA PLÁSTICO E ASSEMELHADOS 38\n", + "117 TRABALHADOR DE FABRICAÇÃO E PREPARAÇÃO DE ALIMENTOS E BEBIDAS 36\n", + "118 TRABALHADOR DE FABRICAÇÃO DE ROUPAS 34\n", + "120 MONTADOR DE ESTRUTURA METÁLICA 33\n", + "119 BIÓLOGO 33\n", + "123 ATOR E DIRETOR DE ESPETÁCULOS PÚBLICOS 32\n", + "124 BIOMÉDICO 32\n", + "121 MASSAGISTA 32\n", + "122 PRODUTOR DE ESPETÁCULOS PÚBLICOS 32\n", + "125 FEIRANTE, AMBULANTE E MASCATE 31\n", + "126 ESCRITOR E CRÍTICO 30\n", + "127 RELAÇÕES-PÚBLICAS 30\n", + "128 LAVADOR DE VEÍCULOS 29\n", + "129 TORNEIRO MECÂNICO 29\n", + "130 AGENTE DE SERVIÇOS FUNERÁRIOS E EMBALSAMADOR 28\n", + "131 QUÍMICO 28\n", + "132 BOMBEIRO MILITAR 27\n", + "134 ESCULTOR E PINTOR 26\n", + "135 TAPECEIRO 26\n", + "133 TÉCNICO EM EDIFICAÇÕES 26\n", + "136 EMBALADOR, EMPACOTADOR E ASSEMELHADOS 24\n", + "137 OPERADOR DE COMPUTADOR 24\n", + "138 ESCULTOR, PINTOR, ARTISTA PLÁSTICO E ASSEMELHADOS 22\n", + "139 AUXILIAR DE LABORATÓRIO 22\n", + "140 DECORADOR 22\n", + "141 CERAMISTA E OLEIRO 21\n", + "142 TRABALHADOR DOS SERVIÇOS DE CONTABILIDADE, DE CAIXA E ASSEMELHADOS 21\n", + "143 TELEFONISTA 21\n", + "144 AGENTE DE VIAGEM 20\n", + "145 TÉCNICO DE QUÍMICA 20\n", + "146 DESENHISTA 20\n", + "147 ENCANADOR,SOLDADOR,CHAPEADOR,CALDEIREIRO,MONTADOR DE ESTRUTURA METÁLIC 20\n", + "148 GUIA DE TURISMO 19\n", + "150 TRABALHADOR DE FABRICAÇÃO DE CALÇADOS E ARTEFATOS DE COURO 18\n", + "151 DEPUTADO 18\n", + "149 COMUNICÓLOGO 18\n", + "153 FONOAUDIÓLOGO 17\n", + "152 PORTEIRO DE EDIFÍCIO, ASCENSORISTA, GARAGISTA, FAXINEIRO E ZELADOR 17\n", + "154 PROGRAMADOR DE COMPUTADOR 16\n", + "155 COVEIRO 15\n", + "156 TAXISTA E MOTORISTA PARTICULAR 14\n", + "157 PROTÉTICO 13\n", + "158 MONTADOR DE MÁQUINAS 13\n", + "159 COBRADOR DE TRANSPORTE COLETIVO 12\n", + "160 CHAVEIRO 12\n", + "161 OPERADOR DE EQUIPAMENTO DE RÁDIO, TELEVISÃO, SOM E CINEMA 12\n", + "162 TRABALHADOR DE ARTES GRÁFICAS 12\n", + "165 TRABALHADOR DE FABRICAÇÃO DE PRODUTOS TÊXTEIS (EXCETO ROUPAS) 11\n", + "167 SERVENTUÁRIO DE JUSTIÇA 11\n", + "164 SOCIÓLOGO 11\n", + "163 LEITURISTA 11\n", + "166 TRABALHADOR FLORESTAL 11\n", + "168 AGENCIADOR DE PROPAGANDA 10\n", + "169 COREÓGRAFO E BAILARINO 10\n", + "170 MARINHEIRO CIVIL, CANOEIRO, EMBARCADO E ASSEMELHADOS 10\n", + "171 ZOOTECNISTA 9\n", + "172 BIBLIOTECÁRIO 9\n", + "173 TÉCNICO DE MINERAÇÃO, METALURGIA E GEOLOGIA 8\n", + "174 CIENTISTA POLÍTICO 8\n", + "175 SALVA-VIDAS 8\n", + "176 PILOTO DE AVIAÇÃO COMERCIAL, NAVEGADOR, MECÂNICO DE VÔO E ASSEMELHADOS 8\n", + "177 OPERADOR DE INSTALAÇÃO DE PRODUÇÃO DE ENERGIA ELÉTRICA E NUCLEAR 7\n", + "178 MODELO 7\n", + "179 MEMBRO DAS FORÇAS ARMADAS 7\n", + "186 MAQUINISTA E FOGUISTA DE EMBARCAÇÕES E ASSEMELHADOS 6\n", + "184 SECURITÁRIO 6\n", + "185 TRABALHADOR DE FABRICAÇÃO, VULCANIZAÇÃO E REPARAÇÃO DE PNEUMÁTICOS 6\n", + "180 HISTORIADOR 6\n", + "183 FERROVIÁRIO 6\n", + "181 GEÓLOGO 6\n", + "182 TRABALHADOR DE USINAGEM DE METAIS 6\n", + "187 TRABALHADOR DE HOTELARIA 5\n", + "193 TRABALHADOR DE FABRICAÇÃO DE PAPEL E PAPELÃO 5\n", + "188 ESTIVADOR, CARREGADOR E ASSEMELHADOS 5\n", + "196 DIGITADOR 5\n", + "195 DEMONSTRADOR 5\n", + "194 TRABALHADOR DE FABRICAÇÃO DE PRODUTOS DE BORRACHA E PLÁSTICO 5\n", + "197 JORNALEIRO 5\n", + "192 GEÓGRAFO 5\n", + "191 OFFICE-BOY E CONTÍNUO 5\n", + "190 SENADOR, DEPUTADO E VEREADOR 5\n", + "189 FISCAL DE TRANSPORTE COLETIVO 5\n", + "205 TÉCNICO TÊXTIL 4\n", + "204 ARQUIVISTA E MUSEÓLOGO 4\n", + "203 MATEMÁTICO E ATUÁRIO 4\n", + "202 LAVANDEIRO, TINTUREIRO E ASSEMELHADOS 4\n", + "201 ESTOFADOR 4\n", + "200 TRABALHADOR EM ATIVIDADE DE PROCESSAMENTO QUÍMICO 4\n", + "198 CORTADOR, POLIDOR E GRAVADOR DE PEDRAS 4\n", + "199 CARVOEIRO 4\n", + "211 OCEANÓGRAFO 3\n", + "216 TRADUTOR, INTÉRPRETE E FILÓLOGO 3\n", + "215 ARTISTA DE CIRCO 3\n", + "214 CAPITALISTA DE ATIVOS FINANCEIROS 3\n", + "213 ESTIVADOR, CARREGADOR, EMBALADOR E ASSEMELHADOS 3\n", + "212 BOMBEIRO E INSTALADOR DE GÁS, ÁGUA, ESGOTO E ASSEMELHADOS 3\n", + "210 ASTRÔNOMO 3\n", + "208 GOVERNANTA 3\n", + "207 BIÓLOGO E BIOMÉDICO 3\n", + "206 FIANDEIRO, TECELÃO, TINGIDOR E ASSEMELHADOS 3\n", + "209 LANTERNEIRO E PINTOR DE VEÍCULOS 3\n", + "223 TÉCNICO DE BIOLOGIA 2\n", + "228 PARAMÉDICO 2\n", + "227 COMISSÁRIO DE BORDO 2\n", + "225 GUARDADOR DE VEÍCULOS 2\n", + "224 COMANDANTE DE EMBARCAÇÕES 2\n", + "226 LEILOEIRO, AVALIADOR E ASSEMELHADOS 2\n", + "222 ECONOMISTA DOMÉSTICO 2\n", + "220 BIBLIOTECÁRIO, ARQUIVISTA, MUSEÓLOGO E ARQUEÓLOGO 2\n", + "219 AGENTE DE VIAGEM E GUIA DE TURISMO 2\n", + "218 TRABALHADOR DE MINAS E PEDREIRAS, SONDADOR E ASSEMELHADOS 2\n", + "217 OPERADOR DE EQUIPAMENTO MÉDICO E ODONTOLÓGICO 2\n", + "221 TABELIÃO 2\n", + "234 FÍSICO 1\n", + "238 PETROLEIRO 1\n", + "237 TRABALHADOR DE CURTIMENTO 1\n", + "236 DETETIVE PARTICULAR 1\n", + "235 BACTERIOLOGISTA E ASSEMELHADOS 1\n", + "231 ENGRAXATE 1\n", + "233 ARQUEÓLOGO 1\n", + "232 JOALHEIRO E OURIVES 1\n", + "230 MAGISTRADO 1\n", + "229 MINISTRO DE ESTADO 1\n", + "239 GEOFÍSICO 1\n" + ] + } + ], + "source": [ + "# Configurações para mostrar a tabela inteira\n", + "pd.set_option('display.max_rows', None) # Mostrar todas as linhas\n", + "pd.set_option('display.max_columns', None) # Mostrar todas as colunas\n", + "pd.set_option('display.width', None) # Ajustar a largura da tela\n", + "pd.set_option('display.max_colwidth', None) # Mostrar todo o conteúdo das células\n", + "\n", + "# Carregar o arquivo CSV\n", + "df = pd.read_csv('/content/candidatosSP.csv')\n", + "\n", + "# Contar o número de candidatos por ocupação\n", + "ocupacao_count = df['DS_OCUPACAO'].value_counts()\n", + "\n", + "# Criar o DataFrame para a tabela\n", + "df_ocupacao = ocupacao_count.reset_index()\n", + "df_ocupacao.columns = ['Ocupação', 'Número de Candidatos']\n", + "\n", + "# Ordenar a tabela em ordem decrescente de número de candidatos\n", + "df_ocupacao = df_ocupacao.sort_values(by='Número de Candidatos', ascending=False)\n", + "\n", + "# Exibir a tabela\n", + "print(df_ocupacao)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 655 + }, + "id": "CEIyV2UAm05R", + "outputId": "7c8e6c5e-65d4-4d2f-e94c-1a624f8c862f" + }, + "outputs": [ + { + "data": { + "image/png": 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+Pc/Pz4eOjg5MTU2FfGw/nVdFRQWOHDmCUaNGQUdH5xeXZ/shoHX6m7q/ZTKZ2jl79+7N6S3aoQsXLmDu3LkYN24c5s6d+6uOwfZDjWH/Qy1x+PBhVFRUYMyYMb+qPNtQx9PU83pH+P3DYAQRUSfh6emJnJwcIWIOAAcPHoSWlhbc3d1bsWb0Jr18+RKRkZHIz89HSkoKjIyMmi3z/PlzHD9+HHZ2dkKap6cnSkpKcPr0aSFNJpPhypUr8PT0VMmXnZ2NqqoqIS0zMxMSiUSYT5fat8zMTGhra6N///4wNTVFnz59cPDgQbU8bm5u0NXVBcD209kdPXoUz58/b9FDN/sfakxr9DdOTk4wMDBAVlaWkKdu0dFXj0Xtw82bNxEeHg5XV1d8+umnLS537NgxPH/+XK1fYvvp3DT9fcX203EdOHAAZmZmcHBwaFF+9kEdW3PP6x3h9w/XjCAi6iQmTpyI7du3IyIiAuHh4Xjw4AFWrFiBiRMntuiFNHUMn376KY4dO4aYmBiUlZXhwoULwr7+/fvj4sWLSElJwYgRI2BsbIyHDx/in//8J4qLixEfHy/kdXR0hIeHB/7yl79g4cKF0NPTw5o1a2BtbY3f/e53Qr7Q0FBkZGRg/vz5CAgIwPXr1/Hll19i3rx5wg8laj9CQ0Ph4uICa2trAEB2djbS0tIwefJkGBoaAgBmz56N6OhomJmZwcXFBZmZmbh48SJ27NghHIftp3PLyMhA79694ezsrJJ+9uxZ9j8kKC8vx4kTJwAAd+7cQVlZmfDgPXjwYEil0jfe3+jp6SE8PBwJCQmQSqXo168fdu3aBYVCgdDQ0Dd4dag5zbUfpVKJ0NBQ6OnpYcqUKcJingBgYGAAKysrAMCyZcsgEokwYMAASCQSXLx4EYmJibC1tcXw4cOFMmw/HUtz7afuJeGb/L5i+2lfWvIdBgByuRynT5/GtGnTGjwO+6DOp7nndV1d3Xb/+0ekrD9eg4iIOqxbt27hs88+w/nz59G1a1f4+/vzpUwn4+Pjgzt37jS4Lzs7G9XV1YiLi8NPP/0EhUIBfX19ODo6YtasWbC3t1fJ//TpU3z++ec4fPgwXr58CQ8PDyxatEgtuHXu3DksW7YMV69ehVQqxaRJkzBt2jSIRCKNfU7SjL/97W/47rvvcP/+fdTU1KBPnz6YMGECgoODVe7n3r17kZycjLt378Lc3BxRUVEYOnSoyrHYfjqnkpISuLu7Y8qUKViwYIHKvsLCQvY/JCgqKsKwYcMa3Ldt2za4uLgAePP9jVKpRFJSElJTUyGXy2FjY4PY2FiOtmljmms/ABpdDHTw4MHYvn07gNr2tWvXLhQWFqKiogJGRkYYPnw45syZAwMDA5VybD8dR3Ptp2fPnq3yfcX203609Dts586diIuLQ2ZmJiwtLdXysg/qfJp7XjcxMQHQvn//MBhBREREREREREREREQaxTUjiIiIiIiIiIiIiIhIoxiMICIiIiIiIiIiIiIijWIwgoiIiIiIiIiIiIiINIrBCCIiIiIiIiIiIiIi0igGI4iIiIiIiIiIiIiISKMYjCAiIiIiIiIiIiIiIo1iMIKIiIiIiIiIiIiIiDSKwQgiIiIiIqIO4MKFC1i/fj3kcnlrV4WIiIiISA2DEURERERERO1ccXExIiIiIBKJIJVKW7s6b0RRURGsra3x9ddft3ZVNM7a2hoJCQnC9tdffw1ra2sUFRU1W9bHxwcxMTGarB4RERFRizAYQURERERE1MrqXi7b2dnhwYMHavuDg4Ph5+fXYNnq6mpERUXBx8cHERERmq5qh/fixQts2bIFEyZMgLOzM+zs7DBy5EjExcVBJpO1dvXemAcPHiAhIQFXr15t7aoQERFRB/FWa1eAiIiIiIiIalVWViIpKQl//etfW1xGJpPB29sbU6dO1VzFOgm5XI6wsDBcvnwZQ4cOhZ+fH8RiMWQyGTIzM5GWloZLly61djXh7++P0aNHQ1dXV2PnePjwIdavXw9jY2PY2Nho7DxERETUeTAYQURERERE1EbY2NggLS0NH330EYyMjFpUxsrKClZWVhqu2a9TU1ODqqoq6OnptXZVWiQ2NhZXr17FunXrMHLkSJV9kZGRWLNmTSvVTJW2tja0tbVbuxpEREREvwinaSIiIiIiImojwsPDUVNTg+Tk5CbzNbVeQv31BRISEmBtbQ2ZTIbo6Gg4OzvD1dUVa9euhVKpxL179zBjxgw4OTnB3d0dmzdvVjtmZWUl1q1bhxEjRsDW1hZeXl5YsWIFKisr1c4dFxeH9PR0jB49GnZ2dvjuu+8AAFeuXEFYWBicnJzg6OiIKVOm4MKFCy26LqWlpYiJiYGzszMGDhyIhQsX4unTpw3mvXXrFubMmYPBgwfDzs4O48ePR3Z2drPn+PHHH3H8+HG8//77aoEIANDV1cXChQuF7WvXriEmJgbDhg2DnZ0d3N3dERsbiydPnqiUq7v+hYWFiImJwcCBA+Hs7IzY2FiUl5er5K2srMTSpUvh6uoKR0dHTJ8+Hffv31erS0NrRiiV4eXU5AAADM9JREFUSmzYsAGenp5wcHBAcHAwbty4oVZWoVBg+fLlGDNmDBwdHeHk5ISwsDBcu3ZNyHPmzBm8//77AGoDNNbW1mrtLSsrC+PHj4e9vT1cXFwQHR2tNsVYcXExYmNj4enpCVtbW3h4eGDGjBktWuuCiIiIOh6OjCAiIiIiImojTExM4O/vj7S0NEybNq3FoyNaYt68ebC0tMT8+fNx4sQJbNy4Ed27d8fu3bvh6uqK6OhoZGRkYPny5bCzs8OgQYMA1I5umDFjBvLy8vDBBx/A0tIS169fx9atW1FQUIANGzaonCc3NxdZWVmYNGkSevToAWNjY9y4cQOTJk1C165dERYWhrfeegt79uxBcHAwduzYAQcHh0brrVQqMXPmTOTl5WHixImwtLTE4cOHVQIDdW7cuIGAgAAYGRlh2rRpEIvFyMrKQkREBBISEjBixIhGz3P06FEAtVMgtUROTg5u376N8ePHw9DQEDdu3EBaWhpu3ryJtLQ0iEQilfyRkZEwMTFBVFQUrly5gr1790IqlWLBggVCno8//hjp6enw8/ODk5MTcnNz8dFHH7WoPvHx8di4cSO8vLzg5eWFy5cvIyQkBFVVVSr5bt++jSNHjmDUqFEwMTHBo0ePsGfPHgQFBeHf//43jIyMYGlpiTlz5mDdunX48MMP4ezsDABwcnICUBsMiY2NhZ2dHaKiovD48WNs27YN586dw7/+9S9IJBIAwOzZs3Hz5k0EBQXB2NgYcrkcp06dwr1792BiYtKiz0VEREQdB4MRREREREREbciMGTOwf/9+JCcnY9GiRa/tuPb29oiLiwMAfPjhh/Dx8cGyZcsQFRUlvPD28/PDkCFDsG/fPiEYkZGRgZycHGzfvh0DBw4Ujte3b18sXrwY586dE15SA7VrWGRkZKhMHRUREYGqqirs2rULpqamAIBx48Zh1KhRWLlyJXbs2NFovbOzs/HDDz9gwYIFCAsLAwAEBARg8uTJann//ve/o1evXti3b5+wnkJgYCACAgKwatWqJoMRt27dAgD069eviav4P4GBgQgJCVFJGzBgAKKiopCXl6dyrYDaKbiWLl0qbCsUCnz11VdCMOLatWtIT09HYGAgFi9eDACYNGkS5s+fj59++qnJusjlcqSkpMDb2xubNm0SAiFr1qzBpk2bVPJaW1vj0KFD0NL630QJ/v7+8PX1xVdffYWIiAi888478PT0xLp16zBgwACVAE1VVRVWrVqFfv36YefOncIUXM7OzggPD8eWLVswZ84clJaW4vz58/jzn/+M0NBQoXx4eHjTF5aIiIg6LE7TRERERERE1IaYmppi7NixSEtLw8OHD1/bceum3QFq1xywtbWFUqlUSZdIJDA3N8ft27eFtIMHD8LS0hIWFhaQy+XCH1dXVwC1U/q8atCgQSqBiOrqapw6dQrDhw8XAhEA8O6778LPzw95eXkoKytrtN4nT57EW2+9hYCAAJX6BwUFqeRTKBTIzc2Fr68vysrKhHo+efIEHh4eKCgoUJtG6FV1dejatWujeV7VpUsX4d8vXryAXC4XRnhcvnxZLf/EiRNVtgcOHAiFQiGc98SJEwCA4OBglXxTpkxpti45OTmoqqpCUFCQyoiMhsrq6uoKgYjq6mo8efIEYrEY5ubmuHLlSrPnunTpEh4/foyAgACVtUC8vb1hYWGB48ePA6i9Pjo6Ovj+++9RUlLS7HGJiIio4+PICCIiIiIiojZm5syZSE9PR1JS0msbHdG7d2+V7d/85jfQ09ODVCpVS1coFMJ2YWEhbt26BTc3twaP+/jxY5Xt+tPvyOVylJeXw9zcXK2spaUlampqcO/ePfTt27fB49+5cweGhoZqQYL6x/v555+hVCoRHx+P+Pj4Ruva2NRXBgYGAIBnz54J0ww1RaFQYP369cjMzFS7Bg2tZ1H/+tedo6SkBAYGBrhz5w60tLRgZmamks/CwqLZuty9excA0KdPH5V0qVSKbt26qaTV1NRg27ZtSE1NRVFREaqrq4V93bt3b/G5GrqfFhYWyMvLA1Ab9IiOjsby5cvh7u4OBwcHeHt7Y9y4cTA0NGz2PERERNTxMBhBRERERETUxrw6OqKhNQPqr0dQ59UXy/W9Oi1PHW1t7QbzKpVK4d81NTXo168fYmNjG8zbs2dPle1XRwy8STU1NQCAkJAQDBkypME89V/0v6rupf/169fVplhqSGRkJM6fP4/Q0FDY2NhALBajpqYGYWFhKtevTkPXH0CDeTVp06ZNiI+Pxx//+EfMnTsX3bp1g5aWFpYuXfra6zJ16lT4+PjgyJEj+M9//oP4+HgkJSVh69at6N+//2s9FxEREbV9DEYQERERERG1QTNmzEB6ejqSk5PV9tX9b/fS0lKV9Lr/tf46mZmZ4dq1a3Bzc2s0CNIUqVQKfX19yGQytX35+fnQ0tJCr169Gi1vbGyM3NxcPHv2TGV0RP3j1U0BpaOjg/fee+8X13Po0KFITExEenp6s8GIkpISnD59GrNnz8asWbOE9IKCgl983jrGxsaoqanBzz//rDIaIj8/v9mydaMuCgoKVKbCksvlalMkHTp0CC4uLirrVwC1balHjx7CdmP3uu5cMplMbbSMTCZTGwFiZmaGkJAQhISEoKCgAOPGjcPmzZuxatWqZj8XERERdSxcM4KIiIiIiKgNMjMzw9ixY7Fnzx4UFxer7DMwMECPHj1w9uxZlfTU1NTXXg9fX188ePAAaWlpavsqKirw/PnzJstra2vD3d0d2dnZKCoqEtIfPXqEAwcOwNnZWZgiqSGenp54+fIldu3aJaRVV1erLXr99ttvY/DgwdizZ0+Da23I5fIm6+no6IghQ4Zg7969OHLkiNr+yspKLF++XPhMDdm6dWuT52iKp6cnAGD79u2/+JjvvfcedHR0sGPHDpXRDQ2V1dbWVhsBkZWVpbaehr6+PgD1gJetrS3efvtt7N69G5WVlUL6iRMncOvWLXh7ewMAysvL8eLFC5WyZmZm6Nq1q0o5IiIi6jw4MoKIiIiIiKiNmj59Ovbv3w+ZTKa2psKECROQlJSEjz/+GLa2tjh79myDow/+X/7+/sjKysLixYtx5swZODk5obq6Gvn5+Th48CBSUlJgZ2fX5DEiIyORk5ODwMBABAYGQltbG3v27EFlZSUWLFjQZFkfHx84OTlh9erVuHPnDqysrPDtt982uC7D4sWLERgYiDFjxuCDDz6AqakpHj16hAsXLuD+/ftIT09v8lwrVqxASEgIZs2ahaFDh8LNzQ36+vooLCxEZmYmHj58iIULF8LAwACDBg1CSkoKqqqqYGRkhFOnTqkEW34pGxsb+Pn5ITU1FU+fPoWjoyNyc3NRWFjYbFmpVIqQkBAkJiYiPDwcXl5euHLlCk6ePKky2gGoXWj6iy++QGxsLBwdHXH9+nVkZGSojKgAagMHEokEu3fvRteuXSEWi2Fvbw9TU1NER0cjNjYWQUFBGD16NB4/foxt27bB2NgYU6dOBVA7SmPq1KkYNWoUrKysoK2tjSNHjuDRo0cYPXr0r75ORERE1H4xGEFERERERNRG/fa3v8XYsWPxzTffqO2LiIiAXC7HoUOHkJWVBU9PT6SkpDS60PSvpaWlhS+++AJbtmzB/v37cfjwYejr68PExATBwcENLmRcX9++fbFz506sXr0aiYmJUCqVsLe3x8qVK+Hg4NDs+Tdu3IilS5ciPT0dIpEIPj4+iImJwbhx41TyWllZYd++fVi/fj2++eYbKBQKSKVS9O/fHxEREc3WUyqVYvfu3UhNTUVmZibWrFmDqqoqGBsbw8fHB5MnTxbyrl69Gp999hlSU1OhVCrh7u6O5OTkRteraImlS5eiR48eyMjIQHZ2NlxcXJCUlAQvL69my0ZGRkJXVxe7d+/GmTNnYG9vj82bNyM8PFwl3/Tp01FeXo6MjAxkZmaif//+SExMxOrVq1Xy6ejoYNmyZfjHP/6BJUuW4OXLl/j8889hamqK8ePHo0uXLkhOTsaqVasgFosxfPhwLFiwQFiYu2fPnhg9ejROnz6N9PR0aGtrw8LCAmvXrsXIkSN/9TUiIiKi9kukfNOrZRERERERERERERERUafCNSOIiIiIiIiIiIiIiEijGIwgIiIiIiIiIiIiIiKNYjCCiIiIiIiIiIiIiIg0isEIIiIiIiIiIiIiIiLSKAYjiIiIiIiIiIiIiIhIoxiMICIiIiIiIiIiIiIijWIwgoiIiIiIiIiIiIiINIrBCCIiIiIiIiIiIiIi0igGI4iIiIiIiIiIiIiISKMYjCAiIiIiIiIiIiIiIo1iMIKIiIiIiIiIiIiIiDSKwQgiIiIiIiIiIiIiItKo/wLzVXNMyLSxRQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Configurações para gráficos\n", + "sns.set(style=\"whitegrid\")\n", + "plt.figure(figsize=(15, 8))\n", + "\n", + "# Contar o número de candidatos por ocupação\n", + "ocupacao_count = eleicao['DS_OCUPACAO'].value_counts()\n", + "\n", + "# Criar o DataFrame para o gráfico\n", + "df_ocupacao = ocupacao_count.reset_index()\n", + "df_ocupacao.columns = ['Ocupação', 'Número de Candidatos']\n", + "\n", + "# Filtrar as 10 maiores ocupações\n", + "df_top_10_ocupacao = df_ocupacao.head(10)\n", + "\n", + "# Criar o gráfico de barras\n", + "ax = sns.barplot(x='Número de Candidatos', y='Ocupação', data=df_top_10_ocupacao, hue='Ocupação', dodge=False, palette='viridis', legend=False)\n", + "\n", + "plt.title('Top 10 Ocupações com Maior Número de Candidatos')\n", + "plt.xlabel('Número de Candidatos')\n", + "plt.ylabel('Ocupação')\n", + "\n", + "# Adicionar rótulos às barras\n", + "for index, row in df_ocupacao.iterrows():\n", + " ax.annotate(f\"{row['Número de Candidatos']}\", xy=(row['Número de Candidatos'], index), ha='left', va='center')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2VkzoCSZpSFF" + }, + "source": [ + " - **Análise de Correspondência:** Explorar as relações entre variáveis categóricas, como cargo, partido, e gênero." + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "AAhMgG6CoxPv", + "outputId": "665f522d-eaca-4599-e200-697f24dd554c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tabela de Quantidade de Candidatos por Cargo:\n", + " DS_CARGO SG_PARTIDO DS_GENERO Número de Candidatos\n", + "0 PREFEITO AGIR MASCULINO 11\n", + "1 PREFEITO AVANTE FEMININO 1\n", + "2 PREFEITO AVANTE MASCULINO 19\n", + "3 PREFEITO CIDADANIA FEMININO 1\n", + "4 PREFEITO CIDADANIA MASCULINO 14\n", + "5 PREFEITO DC FEMININO 2\n", + "6 PREFEITO DC MASCULINO 15\n", + "7 PREFEITO MDB FEMININO 27\n", + "8 PREFEITO MDB MASCULINO 150\n", + "9 PREFEITO MOBILIZA FEMININO 2\n", + "10 PREFEITO MOBILIZA MASCULINO 20\n", + "11 PREFEITO NOVO FEMININO 5\n", + "12 PREFEITO NOVO MASCULINO 38\n", + "13 PREFEITO PC do B MASCULINO 1\n", + "14 PREFEITO PCB MASCULINO 3\n", + "15 PREFEITO PCO FEMININO 4\n", + "16 PREFEITO PCO MASCULINO 10\n", + "17 PREFEITO PDT FEMININO 4\n", + "18 PREFEITO PDT MASCULINO 38\n", + "19 PREFEITO PL FEMININO 40\n", + "20 PREFEITO PL MASCULINO 249\n", + "21 PREFEITO PMB FEMININO 2\n", + "22 PREFEITO PMB MASCULINO 5\n", + "23 PREFEITO PODE FEMININO 18\n", + "24 PREFEITO PODE MASCULINO 96\n", + "25 PREFEITO PP FEMININO 16\n", + "26 PREFEITO PP MASCULINO 108\n", + "27 PREFEITO PRD FEMININO 2\n", + "28 PREFEITO PRD MASCULINO 23\n", + "29 PREFEITO PRTB MASCULINO 13\n" + ] + } + ], + "source": [ + "# Contar o número de candidatos por combinação de cargo, partido e gênero\n", + "contagem = eleicao.groupby(['DS_CARGO', 'SG_PARTIDO', 'DS_GENERO']).size().reset_index(name='Número de Candidatos')\n", + "\n", + "print(\"Tabela de Quantidade de Candidatos por Cargo:\")\n", + "print(contagem.head(30)) # Exibe as primeiras 30 linhas da tabela de frequências" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 801 + }, + "id": "Cxb-AIEkqc3o", + "outputId": "f2fa691b-50f3-47bb-a6a7-2d46f5dfbc9d" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Gráfico de barras empilhadas para Cargo e Gênero\n", + "plt.figure(figsize=(14, 8))\n", + "sns.countplot(data=eleicao, x='DS_CARGO', hue='DS_GENERO', palette='viridis')\n", + "plt.title('Número de Candidatos por Cargo e Gênero')\n", + "plt.xlabel('Cargo')\n", + "plt.ylabel('Número de Candidatos')\n", + "plt.xticks(rotation=45)\n", + "plt.legend(title='Gênero', bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 801 + }, + "id": "5fUbT7Gaqo5Z", + "outputId": "4443700b-3019-4859-c635-9438536d3f96" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Gráfico de barras empilhadas para Partido e Gênero\n", + "plt.figure(figsize=(14, 8))\n", + "sns.countplot(data=eleicao, x='SG_PARTIDO', hue='DS_GENERO', palette='viridis')\n", + "plt.title('Número de Candidatos por Partido e Gênero')\n", + "plt.xlabel('Partido')\n", + "plt.ylabel('Número de Candidatos')\n", + "plt.xticks(rotation=45)\n", + "plt.legend(title='Gênero', bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jJthvcS8pbHJ", + "outputId": "94b622a6-165e-4373-df14-0b0d1f473a98" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Tabela de Número de Candidatos por Partido e Cargo:\n", + "SG_PARTIDO AGIR AVANTE CIDADANIA DC MDB MOBILIZA NOVO PC do B PCB PCO PDT PL \\\n", + "DS_CARGO \n", + "PREFEITO 11 20 15 17 177 22 43 1 3 14 42 289 \n", + "VEREADOR 1326 2871 838 1509 5807 1219 1341 192 6 25 2748 6252 \n", + "VICE-PREFEITO 20 41 11 26 204 23 56 6 3 13 46 218 \n", + "\n", + "SG_PARTIDO PMB PODE PP PRD PRTB PSB PSD PSDB PSOL PSTU PT PV REDE \\\n", + "DS_CARGO \n", + "PREFEITO 7 114 124 25 13 91 399 64 42 5 136 20 10 \n", + "VEREADOR 824 5237 4996 3297 1166 4238 6444 3220 862 22 3142 623 613 \n", + "VICE-PREFEITO 8 142 142 59 18 109 199 100 49 4 114 24 10 \n", + "\n", + "SG_PARTIDO REPUBLICANOS SOLIDARIEDADE UNIÃO UP \n", + "DS_CARGO \n", + "PREFEITO 203 33 124 2 \n", + "VEREADOR 6287 2943 5395 9 \n", + "VICE-PREFEITO 204 51 171 2 \n" + ] + } + ], + "source": [ + "# Tabela de contingência entre cargo e partido\n", + "tabela_contingencia = pd.crosstab(eleicao['DS_CARGO'], eleicao['SG_PARTIDO'])\n", + "print(\"\\nTabela de Número de Candidatos por Partido e Cargo:\")\n", + "print(tabela_contingencia)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 801 + }, + "id": "4ahvDvxyp6fT", + "outputId": "3e7743fb-2226-4d30-909a-2119397176f1" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Gráfico de barras empilhadas para Cargo e Partido\n", + "plt.figure(figsize=(14, 8))\n", + "sns.countplot(data=eleicao, x='DS_CARGO', hue='SG_PARTIDO', palette='viridis')\n", + "plt.title('Número de Candidatos por Cargo e Partido')\n", + "plt.xlabel('Cargo')\n", + "plt.ylabel('Número de Candidatos')\n", + "plt.xticks(rotation=45)\n", + "plt.legend(title='Partido', bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "d5U5gB6_zYrR" + }, + "source": [ + "- **Despesas de Campanha**" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_nnwjozx98WX", + "outputId": "14836bfa-0f13-4ab6-93e3-8024b34ddd48" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Valor máximo das despesas de campanha: R$ 67276114.5\n", + "Valor mínimo das despesas de campanha: R$ -1.0\n", + "Valor médio das despesas de campanha: R$ 163736.05\n", + "Mediana das despesas de campanha: R$ 34314.49\n", + "Moda das despesas de campanha: R$ 15985.08\n", + "Desvio padrão das despesas de campanha: R$ 951919.00\n" + ] + } + ], + "source": [ + "# Calcular o valor máximo das despesas de campanha\n", + "valor_maximo = eleicao['VR_DESPESA_MAX_CAMPANHA'].max()\n", + "\n", + "# Calcular o valor mínimo das despesas de campanha\n", + "valor_minimo = eleicao['VR_DESPESA_MAX_CAMPANHA'].min()\n", + "\n", + "# Calcular o valor médio das despesas de campanha\n", + "valor_medio = eleicao['VR_DESPESA_MAX_CAMPANHA'].mean()\n", + "\n", + "# Calcular a mediana das despesas de campanha\n", + "mediana = eleicao['VR_DESPESA_MAX_CAMPANHA'].median()\n", + "\n", + "# Calcular a moda das despesas de campanha\n", + "moda = eleicao['VR_DESPESA_MAX_CAMPANHA'].mode()\n", + "\n", + "# Calcular o Desvio Padrão das despesas de campanha\n", + "desvio_padrao = eleicao['VR_DESPESA_MAX_CAMPANHA'].std()\n", + "\n", + "# Exibir os resultados\n", + "print(f\"Valor máximo das despesas de campanha: R$ {valor_maximo}\")\n", + "print(f\"Valor mínimo das despesas de campanha: R$ {valor_minimo}\")\n", + "print(f\"Valor médio das despesas de campanha: R$ {valor_medio:.2f}\")\n", + "print(f\"Mediana das despesas de campanha: R$ {mediana:.2f}\")\n", + "print(f\"Moda das despesas de campanha: R$ {moda[0]:.2f}\")\n", + "print(f\"Desvio padrão das despesas de campanha: R$ {desvio_padrao:.2f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jVKOq3mZAYpG", + "outputId": "67017006-0fe3-4f4a-f444-0cff52bbdae5" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Quartis das despesas de campanha:\n", + "0.25 15985.08\n", + "0.50 34314.49\n", + "0.75 99823.41\n", + "Name: VR_DESPESA_MAX_CAMPANHA, dtype: float64\n" + ] + } + ], + "source": [ + "# Calculo de Quartis\n", + "quartis = eleicao['VR_DESPESA_MAX_CAMPANHA'].quantile([0.25, 0.5, 0.75])\n", + "print(f\"Quartis das despesas de campanha:\\n{quartis}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ojnsdjLXmHxd" + }, + "source": [ + "#Hipóteses ✅ ❌" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "B2E8cXRUbgf1" + }, + "source": [ + "- ***Relação entre Ocupação e Despesas de Campanha***\n", + "\n", + "Hipótese: Ocupações diferentes estão associadas a médias diferentes de despesas de campanha." + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 656 + }, + "id": "LlpmSjrA-oNQ", + "outputId": "ee64ae3d-4396-46b2-be86-f9ac197e369d" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Calcular a média das despesas por ocupação\n", + "despesa_por_ocupacao = eleicao.groupby('DS_OCUPACAO')['VR_DESPESA_MAX_CAMPANHA'].mean().sort_values(ascending=False).head(15)\n", + "\n", + "# Plotar um gráfico de barras\n", + "plt.figure(figsize=(14, 8))\n", + "ax = sns.barplot(x=despesa_por_ocupacao.values, y=despesa_por_ocupacao.index, hue=despesa_por_ocupacao.index, palette='viridis', dodge=False, legend=False)\n", + "\n", + "# Adicionar rótulos às barras\n", + "for index, value in enumerate(despesa_por_ocupacao.values):\n", + " ax.text(value, index, f\"R${value:.2f}\", ha='left', va='center')\n", + "\n", + "plt.title('Média de Despesas de Campanha por Ocupação (Top 15)')\n", + "plt.xlabel('Média de Despesa de Campanha (R$)')\n", + "plt.ylabel('Ocupação')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XARmfibs4ST5", + "outputId": "20d4424a-8d00-4396-e1ac-5fc1736090b9" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Estatística F: 29.7810929212277, p-valor: 0.0\n" + ] + } + ], + "source": [ + "#Análise de Variância: Para comparar as médias das despesas entre diferentes ocupações.\n", + "grupos = [grupo['VR_DESPESA_MAX_CAMPANHA'].values for nome, grupo in eleicao.groupby('DS_OCUPACAO')]\n", + "estatistica, p_valor = f_oneway(*grupos)\n", + "print(f'Estatística F: {estatistica}, p-valor: {p_valor}')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4TT7a6It5CV2" + }, + "source": [ + "Podemos rejeitar a hipótese nula (que as médias são iguais), ou seja as ocupações/profissoes estão associadas a diferentes médias de despesas de campanha." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WU23P_Ie56pp" + }, + "source": [ + " **Conclusão:**\n", + " Sendo assim, após analise podemos concluir que é muito provável que as ocupações estejam associadas a diferentes médias de despesas de campanha, confirmando que há uma relação significativa entre a ocupação e as despesas de campanha dos candidatos. **HIPOTESE CONFIRMADA!** ✅" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "B8OFHEKUbUuF" + }, + "source": [ + "- ***Diferença nas Despesas de Campanha por Estado Civil***\n", + "\n", + "Hipótese: Existe uma diferença significativa nas despesas de campanha entre diferentes estados civis." + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "wuFBN9Sx7xNC", + "outputId": "54bf595c-c71b-4e88-9106-13920d6f1765" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Média das Despesas por Estado Civil:\n", + "DS_ESTADO_CIVIL\n", + "CASADO(A) 155186.367575\n", + "DIVORCIADO(A) 197324.107105\n", + "SEPARADO(A) JUDICIALMENTE 191788.565643\n", + "SOLTEIRO(A) 167639.739803\n", + "VIÚVO(A) 129166.215284\n", + "Name: VR_DESPESA_MAX_CAMPANHA, dtype: float64\n", + "\n", + "Mediana das Despesas por Estado Civil:\n", + "DS_ESTADO_CIVIL\n", + "CASADO(A) 34048.20\n", + "DIVORCIADO(A) 39883.88\n", + "SEPARADO(A) JUDICIALMENTE 29894.60\n", + "SOLTEIRO(A) 31659.66\n", + "VIÚVO(A) 29462.02\n", + "Name: VR_DESPESA_MAX_CAMPANHA, dtype: float64\n" + ] + } + ], + "source": [ + "#Média e Mediana das Despesas por Estado Civil:\n", + "media_por_estado_civil = eleicao.groupby('DS_ESTADO_CIVIL')['VR_DESPESA_MAX_CAMPANHA'].mean()\n", + "mediana_por_estado_civil = eleicao.groupby('DS_ESTADO_CIVIL')['VR_DESPESA_MAX_CAMPANHA'].median()\n", + "\n", + "print(\"Média das Despesas por Estado Civil:\")\n", + "print(media_por_estado_civil)\n", + "print(\"\\nMediana das Despesas por Estado Civil:\")\n", + "print(mediana_por_estado_civil)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 574 + }, + "id": "qnf11yIoBRG6", + "outputId": "532b3563-373e-4910-bace-a7807780a1eb" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Calcular a média das despesas por estado civil\n", + "despesa_por_estado_civil = eleicao.groupby('DS_ESTADO_CIVIL')['VR_DESPESA_MAX_CAMPANHA'].mean()\n", + "\n", + "# Plotar um gráfico de barras\n", + "plt.figure(figsize=(10, 6))\n", + "ax = sns.barplot(x=despesa_por_estado_civil.values, y=despesa_por_estado_civil.index)\n", + "\n", + "# Adicionar rótulos às barras\n", + "for index, value in enumerate(despesa_por_estado_civil.values):\n", + " ax.text(value, index, f\"R${value:.2f}\", ha='left', va='center')\n", + "\n", + "plt.title('Média de Despesas de Campanha por Estado Civil')\n", + "plt.xlabel('Média de Despesa de Campanha (R$)')\n", + "plt.ylabel('Estado Civil')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 884 + }, + "id": "-v9Y0f4V8LJD", + "outputId": "38e7a229-940d-4e30-86cb-8af3deb47ee7" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Boxplot das Despesas por Estado Civil:\n", + "plt.figure(figsize=(12, 8))\n", + "sns.boxplot(x='DS_ESTADO_CIVIL', y='VR_DESPESA_MAX_CAMPANHA', data=eleicao)\n", + "plt.title('Distribuição das Despesas de Campanha por Estado Civil')\n", + "plt.xticks(rotation=45)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "QaDzt4Os8cZQ" + }, + "source": [ + "- Pontos mais acima do grafico indicam os gastos dos prefeitos do estado de SP que utilizaram um valor muito superior aos de outros candidatos, como vereador e vice-prefeito." + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "epqwmFcf9DkM", + "outputId": "f8f68e0c-8a95-4e70-d9ce-343c6f935a4d" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Estatística F: 4.58742383349116, p-valor: 0.0010551658165555446\n" + ] + } + ], + "source": [ + "#Análise de Variância: Para comparar as médias das despesas entre diferentes ocupações.\n", + "grupos = [grupo['VR_DESPESA_MAX_CAMPANHA'].values for nome, grupo in eleicao.groupby('DS_ESTADO_CIVIL')]\n", + "estatistica, p_valor = f_oneway(*grupos)\n", + "print(f'Estatística F: {estatistica}, p-valor: {p_valor}')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IEWrnd8A9l4q" + }, + "source": [ + "**Conclusão:**\n", + "Com base nesses resultados, podemos rejeitar a hipótese nula e concluir que existe uma diferença estatisticamente significativa nas despesas de campanha entre os diferentes estados civis. Em outras palavras, o estado civil dos candidatos está associado a diferentes médias de despesas de campanha. **HIPOTESE CONFIRMADA!** ✅" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7RolKUz9a_Tv" + }, + "source": [ + "- ***Impacto da Escolaridade nas Despesas de Campanha***\n", + "\n", + "Hipótese: O nível de escolaridade afeta a média das despesas de campanha." + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 693 + }, + "id": "s8S_2UXBBwns", + "outputId": "e58c84b0-ad5d-49ce-9c7e-1f0cd696c42f" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Calcular a média das despesas por nível de escolaridade\n", + "despesa_por_escolaridade = eleicao.groupby('DS_GRAU_INSTRUCAO')['VR_DESPESA_MAX_CAMPANHA'].mean().sort_values(ascending=False)\n", + "\n", + "# Plotar um gráfico de barras\n", + "plt.figure(figsize=(14, 8))\n", + "ax = sns.barplot(x=despesa_por_escolaridade.values, y=despesa_por_escolaridade.index)\n", + "\n", + "# Adicionar rótulos às barras\n", + "for index, value in enumerate(despesa_por_escolaridade.values):\n", + " ax.text(value, index, f\"R${value:.2f}\", ha='left', va='center')\n", + "\n", + "plt.title('Média de Despesas de Campanha por Nível de Escolaridade')\n", + "plt.xlabel('Média de Despesa de Campanha (R$)')\n", + "plt.ylabel('Grau de Instrução')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Xnn_ZEMmJR36", + "outputId": "eea0ef99-fe2f-4f5b-a0aa-c4c20149f764" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Estatística F: 83.59058978124146, p-valor: 1.1378424602173357e-121\n" + ] + } + ], + "source": [ + "#Análise de Variância: Para comparar as médias das despesas entre diferentes ocupações.\n", + "grupos = [grupo['VR_DESPESA_MAX_CAMPANHA'].values for nome, grupo in eleicao.groupby('DS_GRAU_INSTRUCAO')]\n", + "estatistica, p_valor = f_oneway(*grupos)\n", + "print(f'Estatística F: {estatistica}, p-valor: {p_valor}')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "mPPFm_kkKL1F" + }, + "source": [ + "Com base nesses resultados, podemos rejeitar a hipótese nula de que as médias das despesas de campanha entre os diferentes níveis de escolaridade são iguais. Em outras palavras, o nível de escolaridade tem um impacto significativo nas despesas de campanha." + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "0MN1fetHKWUa", + "outputId": "ef0b431a-252e-4240-c201-aba41533bc63" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Multiple Comparison of Means - Tukey HSD, FWER=0.05 \n", + "================================================================================================================\n", + " group1 group2 meandiff p-adj lower upper reject\n", + "----------------------------------------------------------------------------------------------------------------\n", + " ANALFABETO ENSINO FUNDAMENTAL COMPLETO 69950.036 1.0 -2804773.0652 2944673.1372 False\n", + " ANALFABETO ENSINO FUNDAMENTAL INCOMPLETO 50407.4928 1.0 -2824396.5731 2925211.5586 False\n", + " ANALFABETO ENSINO MÉDIO COMPLETO 94417.9868 1.0 -2780169.2845 2969005.258 False\n", + " ANALFABETO ENSINO MÉDIO INCOMPLETO 117540.3757 1.0 -2757457.5297 2992538.2811 False\n", + " ANALFABETO LÊ E ESCREVE 52964.2264 1.0 -2822588.2614 2928516.7141 False\n", + " ANALFABETO SUPERIOR COMPLETO 244359.1362 1.0 -2630238.1581 3118956.4305 False\n", + " ANALFABETO SUPERIOR INCOMPLETO 302478.5503 1.0 -2572454.1947 3177411.2954 False\n", + " ENSINO FUNDAMENTAL COMPLETO ENSINO FUNDAMENTAL INCOMPLETO -19542.5432 0.9406 -70189.4632 31104.3767 False\n", + " ENSINO FUNDAMENTAL COMPLETO ENSINO MÉDIO COMPLETO 24467.9508 0.4531 -11845.5896 60781.4911 False\n", + " ENSINO FUNDAMENTAL COMPLETO ENSINO MÉDIO INCOMPLETO 47590.3397 0.2522 -13069.772 108250.4514 False\n", + " ENSINO FUNDAMENTAL COMPLETO LÊ E ESCREVE -16985.8096 0.9986 -99864.0524 65892.4331 False\n", + " ENSINO FUNDAMENTAL COMPLETO SUPERIOR COMPLETO 174409.1002 0.0 137310.6122 211507.5882 True\n", + " ENSINO FUNDAMENTAL COMPLETO SUPERIOR INCOMPLETO 232528.5143 0.0 175039.5423 290017.4864 True\n", + "ENSINO FUNDAMENTAL INCOMPLETO ENSINO MÉDIO COMPLETO 44010.494 0.0341 1770.9171 86250.0709 True\n", + "ENSINO FUNDAMENTAL INCOMPLETO ENSINO MÉDIO INCOMPLETO 67132.8829 0.0338 2749.9831 131515.7828 True\n", + "ENSINO FUNDAMENTAL INCOMPLETO LÊ E ESCREVE 2556.7336 1.0 -83083.8628 88197.3301 False\n", + "ENSINO FUNDAMENTAL INCOMPLETO SUPERIOR COMPLETO 193951.6434 0.0 151035.3708 236867.9161 True\n", + "ENSINO FUNDAMENTAL INCOMPLETO SUPERIOR INCOMPLETO 252071.0576 0.0 190666.7372 313475.3779 True\n", + " ENSINO MÉDIO COMPLETO ENSINO MÉDIO INCOMPLETO 23122.3889 0.8986 -30717.378 76962.1559 False\n", + " ENSINO MÉDIO COMPLETO LÊ E ESCREVE -41453.7604 0.7443 -119478.5928 36571.072 False\n", + " ENSINO MÉDIO COMPLETO SUPERIOR COMPLETO 149941.1494 0.0 125540.9615 174341.3373 True\n", + " ENSINO MÉDIO COMPLETO SUPERIOR INCOMPLETO 208060.5635 0.0 157820.6067 258300.5204 True\n", + " ENSINO MÉDIO INCOMPLETO LÊ E ESCREVE -64576.1493 0.3958 -156493.7777 27341.4791 False\n", + " ENSINO MÉDIO INCOMPLETO SUPERIOR COMPLETO 126818.7605 0.0 72446.478 181191.043 True\n", + " ENSINO MÉDIO INCOMPLETO SUPERIOR INCOMPLETO 184938.1746 0.0 115045.1907 254831.1585 True\n", + " LÊ E ESCREVE SUPERIOR COMPLETO 191394.9098 0.0 113001.6762 269788.1434 True\n", + " LÊ E ESCREVE SUPERIOR INCOMPLETO 249514.3239 0.0 159657.8653 339370.7826 True\n", + " SUPERIOR COMPLETO SUPERIOR INCOMPLETO 58119.4141 0.0123 7309.2 108929.6283 True\n", + "----------------------------------------------------------------------------------------------------------------\n" + ] + } + ], + "source": [ + "#Teste de Tukey: usei o teste de Tukey para identificar quais grupos diferem entre si.\n", + "comparacao = mc.MultiComparison(eleicao['VR_DESPESA_MAX_CAMPANHA'], eleicao['DS_GRAU_INSTRUCAO'])\n", + "resultado = comparacao.tukeyhsd()\n", + "print(resultado)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Rhso0aWhNc29" + }, + "source": [ + "**Análise do Resultado das interpretações das comparações significativas e não significativas:**\n", + "\n", + "Significativas (**onde \"reject\" é True**):\n", + "\n", + "*ENSINO FUNDAMENTAL COMPLETO vs. SUPERIOR COMPLETO*\n", + "\n", + "Diferença média: R$174.409,10\n", + "p-valor ajustado: 0.0\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem ensino superior completo comparado a quem tem ensino fundamental completo.\n", + "\n", + "*ENSINO FUNDAMENTAL COMPLETO vs. SUPERIOR INCOMPLETO*\n", + "\n", + "Diferença média: R$232.528,51\n", + "p-valor ajustado: 0.0\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem superior incompleto comparado a quem tem ensino fundamental completo.\n", + "\n", + "*ENSINO FUNDAMENTAL INCOMPLETO vs. ENSINO MÉDIO COMPLETO*\n", + "\n", + "Diferença média: R$44.010,49\n", + "p-valor ajustado: 0.0341\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem ensino médio completo comparado a quem tem ensino fundamental incompleto.\n", + "\n", + "*ENSINO FUNDAMENTAL INCOMPLETO vs. ENSINO MÉDIO INCOMPLETO*\n", + "\n", + "Diferença média: R$67.132,88\n", + "p-valor ajustado: 0.0338\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem ensino médio incompleto comparado a quem tem ensino fundamental incompleto.\n", + "\n", + "*ENSINO FUNDAMENTAL INCOMPLETO vs. SUPERIOR COMPLETO*\n", + "\n", + "Diferença média: R$193.951,64\n", + "p-valor ajustado: 0.0\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem superior completo comparado a quem tem ensino fundamental incompleto.\n", + "\n", + "*ENSINO FUNDAMENTAL INCOMPLETO vs. SUPERIOR INCOMPLETO*\n", + "\n", + "Diferença média: R$252.071,06\n", + "p-valor ajustado: 0.0\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem superior incompleto comparado a quem tem ensino fundamental incompleto.\n", + "\n", + "*ENSINO MÉDIO COMPLETO vs. SUPERIOR COMPLETO*\n", + "\n", + "Diferença média: R$149.941,15\n", + "p-valor ajustado: 0.0\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem superior completo comparado a quem tem ensino médio completo.\n", + "\n", + "*ENSINO MÉDIO COMPLETO vs. SUPERIOR INCOMPLETO*\n", + "\n", + "Diferença média: R$208.060,56\n", + "p-valor ajustado: 0.0\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem superior incompleto comparado a quem tem ensino médio completo.\n", + "\n", + "*ENSINO MÉDIO INCOMPLETO vs. SUPERIOR COMPLETO*\n", + "\n", + "Diferença média: R$126.818,76\n", + "p-valor ajustado: 0.0\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem superior completo comparado a quem tem ensino médio incompleto.\n", + "\n", + "*ENSINO MÉDIO INCOMPLETO vs. SUPERIOR INCOMPLETO*\n", + "\n", + "Diferença média: R$184.938,17\n", + "p-valor ajustado: 0.0\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem superior incompleto comparado a quem tem ensino médio incompleto.\n", + "\n", + "*LÊ E ESCREVE vs. SUPERIOR COMPLETO*\n", + "\n", + "Diferença média: R$191.394,91\n", + "p-valor ajustado: 0.0\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem superior completo comparado a quem sabe ler e escrever.\n", + "\n", + "*LÊ E ESCREVE vs. SUPERIOR INCOMPLETO*\n", + "\n", + "Diferença média: R$249.514,32\n", + "p-valor ajustado: 0.0\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem superior incompleto comparado a quem sabe ler e escrever.\n", + "\n", + "*SUPERIOR COMPLETO vs. SUPERIOR INCOMPLETO*\n", + "\n", + "Diferença média: R$58.119,41\n", + "p-valor ajustado: 0.0123\n", + "Conclusão: As despesas de campanha são significativamente maiores para quem tem superior incompleto comparado a quem tem superior completo.\n", + "\n", + "Não Significativas (**onde \"reject\" é False**):\n", + "Comparações como ANALFABETO vs. ENSINO FUNDAMENTAL COMPLETO, ENSINO MÉDIO COMPLETO vs. ENSINO MÉDIO INCOMPLETO, entre outras, não apresentam diferenças significativas nas despesas de campanha." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lozefSZ3LKri" + }, + "source": [ + "**Conclusão:**\n", + "O teste de Tukey indica que há diferenças significativas nas despesas de campanha entre vários pares de níveis de escolaridade, com exceção de algumas comparações específicas onde as diferenças não são estatisticamente significativas. Os resultados sugerem que indivíduos com maior nível de escolaridade tendem a ter despesas de campanha significativamente maiores. **HIPOTESE CONFIRMADA!** ✅" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "epnr_k3jayVk" + }, + "source": [ + "- ***Diferença nas Despesas de Campanha por Gênero***\n", + "\n", + "Hipótese: A média das despesas de campanha é diferente entre gêneros.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 573 + }, + "id": "unKrR0GzB9S6", + "outputId": "4810ade3-d312-441f-be20-f577bbd7fa14" + }, + "outputs": [ + { + "data": { + "image/png": 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6utjfq1ev4OzsjJiYGCQkJLz39Un/vgwbNkz8eQDAgAEDoKuri4iIiA9eC/o8cNoJ0SfG0NAQjo6OOHr0KLKzs1FQUABXV9ciY2NjY5GWlvbOFTwSExMBAE+ePAEANGrUSO5cb/6D9C5PnjzBypUrcebMGbm55G//g1vUsW//OhoATExMZLZjYmIAvPsLgbQYLY3MzEyxwEtKSkJqaip2796N3bt3FxkvnYM7evRoXLhwAQMGDEDDhg3h5OSEnj17Fjk/tWHDhjLbxsbGUFFREef+xsTEQBAEdOvWrchzSm8qbNCgAUaOHImNGzfiyJEjsLOzQ6dOndCrVy+ZNdwvX76MVatW4dq1a3JFelpaGqpWrQp7e3u4uroiICAAmzZtgr29Pbp06YIvv/zyvSvolOR9Exsbi3v37r3zvfiu+czA//1si/uQlMLCQmzZsgU7duxAfHy8zI14BgYGcvF169aV2ZZevzp16si1FxYWIi0tDdWqVRPb3/6ZAq+vSVZWFpKSkmBkZITs7GwEBgbiwIEDSEhIgCAIYmxRD7x6Oyc9PT0AkJsb/HaOAKCvry/z97Ck16MoH3qNwOupHm//vQUAMzMzFBYW4unTp+JUGADFniZWpUqVIm8mHzx4MDp27AgA+O6772T2lfT99vZ1lL5/pdf7v//+gyAIWLFiBVasWFFkn4mJiTJTeN5+fdK/L6ampjLtGhoaaNCggdwXK/p8sfgm+gT17NkTP/74I16+fAkXFxfxH+a3FRYWonr16u98uERZrGtdUFCAkSNHIiUlBaNGjYKpqSl0dHSQkJCA6dOnf/BmuuKSFiuLFi2CkZGR3P7ijKC9T15eHmJiYsTiQJp3r1690KdPnyKPsbCwAPC6uAgLC8Pvv/+OP/74A+Hh4dixYwfGjx8PX1/f95737ZsHCwsLIZFIEBwcXORrenMEcPr06ejTpw9Onz6N8+fPY+7cuQgMDMSePXtQu3Zt/PfffxgxYgRMTU0xffp01KlTB+rq6oiIiMCmTZvE1yiRSLBy5Upcu3YNZ8+exR9//IGZM2di48aN2L17d7FHnN+nsLAQTk5OGDVqVJH73y7g3yQtVu7du4cuXbp88Fzr1q3DihUr0K9fP0ycOBH6+vpQUVHBvHnzZIpeqTdHIYvTXlQfH/Lzzz+Lq7XY2NigatWqkEgk8PPzK1FOb8cW531f0utRXoq7apKpqSnu3r2LhIQEmeLWxMRELPbf7quk77d3XUfp9ZH+XfHy8kK7du2KjDU2NpbZrsyrQlHFYvFN9Anq2rUrZs2ahWvXrmHZsmXvjDM2NsbFixfRsmVLmV97v006yhYTEyPzK+OkpCS5key33b9/HzExMXJr7L65Isv71K1bF7GxsXLt0dHRMtvSvKpXr462bdsWq++SOHHiBLKzs+Hs7Azg9ReTKlWqoLCwsFjn09HRgbu7O9zd3ZGbmwsfHx+sW7cOY8eOlflHODY2VuYax8bGorCwUBwlMzY2hiAIqF+/fpGjiG+zsLCAhYUFvv32W1y5cgWenp7YuXMn/Pz8cObMGeTm5mLt2rUyI6nvmqJjY2MDGxsb+Pn54ciRI5g6dSpCQ0MxYMCAIuNL8r4xNjZGZmamQj+7Vq1aQV9fH8eOHcO4ceM+WHCeOHECDg4OmDdvnkx7amqqzIh1WSnq/RsTEwNtbW3xC+6JEyfQu3dvmad+5uTkFDnqXdbK4noU5zVqa2vL/b0FgKioKKioqBQ5Sl8cHTp0wLFjx/Dbb79h9OjRxTqmNO+3okjf3+rq6gr3Kf37EhUVJfP3JTc3F/Hx8R/lc40qJ875JvoEValSBbNnz4aPjw86der0zjg3NzcUFBRgzZo1cvvy8/PFX6m2bdsW6urq2LZtm8xI2ObNmz+Yi3SE7s3jBEHAli1bivVa2rdvj2vXrsnMl05KSpJZpg8A2rVrB11dXQQGBhY5L/l90xY+5N9//8W8efOgr68vzslWVVWFq6srTpw4gfv377/3fK9evZLZp6GhATMzMwiCIJfr20sZbtu2DQDg4uICAOjWrRtUVVUREBAgNyopCIJ4rvT0dLm5x+bm5lBRURGXw5MWqW9Pcdi/f7/McSkpKXLnkq4J//bSem8qyfvGzc0NV69exR9//CG3LzU1Ve61vElbWxujRo3Co0ePsHjx4iJHaw8fPiy+h1RVVeVijh8/Ljcnt6xcvXpVnP8PAE+fPsXp06fh5OQk/gyK+sKwdetWubWpP4ayuB4feo2qqqpwcnLC6dOnZZZPfPnyJY4ePYpWrVopPDXMzc0NjRs3xpo1a+SWLZR6+/WV5v1WlOrVq8Pe3h67d+/G8+fP5fYX5/NH+vdl69atMvnu27cPaWlp711ukT4vHPkm+kS9ayrEm+zt7eHh4YHAwEDcvXsXTk5OUFdXR0xMDMLCwvD999+je/fuMDQ0hJeXFwIDAzF27Fi0b98ed+7cQWRk5AdHxkxNTWFsbIyFCxciISEBurq6OHHiRLHXrR01ahQOHz6MUaNGYdiwYeJSg3Xr1sW9e/fEOF1dXcyePRv/+9//0LdvX7i7u8PQ0BBPnjxBREQEWrZsCX9//w+e759//kFOTg4KCwuRnJyMK1eu4MyZM9DV1UVAQIDMlJYpU6bg0qVLGDhwIAYMGIDGjRsjJSUFt2/fxsWLF/HXX38BALy9vVGjRg20bNkS1atXR1RUFLZt24b27dvLFRzx8fEYN24c2rVrh2vXruG3335Dz5490aRJEwCvR+wmTZqEJUuW4PHjx+jSpQuqVKmC+Ph4nDp1CgMHDoS3tzf+/PNPzJkzB927d0ejRo1QUFCAw4cPi18aAIg/73HjxmHQoEHIyMjA3r17Ub16dbx48ULM6eDBg9i5cye6dOkCY2NjZGRkYM+ePdDV1RW/FBSlJO8bb29vnDlzBuPGjUOfPn3QrFkzZGVl4f79+zhx4gROnz793mlQo0aNwsOHD7FhwwZcunQJrq6uqFGjBl6+fIlTp07hxo0b2LVrF4DXI6WrV6/GjBkzYGtri/v37+PIkSMyo41lydzcHN7e3jLL8AGAj4+PGNOhQwccPnwYurq6aNy4Ma5du4YLFy4Ue851aZTF9SjOa5w0aRIuXLiAwYMHY/DgwVBVVcXu3buRm5srNye7JNTV1REQEABvb28MHjwYXbt2hZ2dHbS1tZGQkIAzZ87gyZMnMsVrad9vRZk1axYGDx6ML7/8EgMHDkSDBg3w8uVLXLt2Dc+ePcNvv/323uMNDQ0xduxYBAQEYNSoUejUqROio6OxY8cOWFlZoVevXgpdH1I+LL6JKrk5c+agefPm2LVrF5YtWwZVVVXUq1cPvXr1knkU96RJk6ChoYFdu3bh0qVLsLa2xoYNGzB27Nj39q+uro5169aJ8401NTXRtWtXfP3118Val7dmzZrYsmUL5s6di6CgIBgYGGDQoEGoWbOm3Fq8X375JWrWrImgoCCEhIQgNzcXtWrVgp2dHfr27Vus6yFdC11dXR1Vq1aFmZkZfHx8MHDgQLl/jGvUqIG9e/di9erVOHnyJHbu3AkDAwM0btwYU6dOFeM8PDxw5MgRbNy4EZmZmahduzaGDh0q83Q9qeXLl2PFihVYsmQJ1NTUMGTIEPzvf/+TiRkzZgwaNWqETZs2YfXq1QCA2rVrw8nJSfxNh4WFBZydnXH27FkkJCRAW1sbFhYWCA4Oho2NDYDXX4xWrlyJ5cuXY+HChahRowY8PT1haGiImTNniuezt7fHzZs3ERoaipcvX6Jq1aqwtrbG4sWLP1igFfd9o62tja1btyIwMBBhYWE4dOgQdHV10ahRI/j4+MjcJFoUFRUVLFq0CJ07d8aePXuwYcMGpKeno1q1amjdujW+++472NraAgDGjRuHrKwsHDlyBKGhoWjatCkCAwOxZMmS955DUa1bt4aNjQ1Wr16NJ0+eoHHjxpg/f774hQoAvv/+e6ioqODIkSPIyclBy5YtsXHjxnfOSS5LZXE9ivMav/jiC2zfvh1LlixBYGAgBEGAtbU1fv311yJvqi4JExMTHD58GFu2bMGpU6cQGRmJvLw81KhRA9bW1pgwYYJ48yVQ+vdbURo3boz9+/cjICAABw8eRHJyMgwNDdG0aVOMHz++WH34+PjA0NAQ27Ztw/z586Gvr4+BAwdi8uTJXOObRBKhIu/GICJSEtKHa1y8eLFMbnSlT4OFhQW+/vrrYv3WpbL6HF4j0aeEc76JiIiIiMoJi28iIiIionLC4puIiIiIqJxwzjcRERERUTnhyDcRERERUTlh8U1EREREVE64zvcn7urVqxAEgeuDEhEREX2i8vLyIJFIxOcRvA+L70+cIAhFPmqZiIiIiD4NJanVWHx/4qQj3lZWVhWcCREREREV5ebNm8WO5ZxvIiIiIqJywuKbiIiIiKicsPgmIiIiIionLL6JytH06dNx6dKlik6DiIiIKgiLbyIFHDhwABYWFuJ/TZs2Rbt27TB9+nQkJCQo3O+OHTvg6+uLDh06wMLCAtOnT39v/IULFzBs2DC0atUKtra26Nu3L0JDQ2ViMjIy8Msvv8DFxQXNmzeHm5sbduzYUWR/qamp+PHHH9GmTRvY2Nhg6NChuH37tlxcSfo8f/48PD090aJFC7Ru3Rq+vr6Ij4//4LUoLCzEgQMHMG7cOLRv3x42Njbo2bMn1qxZg5ycnPce+88//4g/m6SkpA+ei4iIqLxwtROiUvD19UX9+vWRm5uLa9eu4eDBg7h8+TKOHj0KTU1Nufj8/Hzk5ua+s7/169cjIyMDVlZWePHixXvPvX//fnz//fdwcnLC5MmToaKigujoaDx9+lSMKSgogLe3N27duoWvv/4aDRs2xLlz5/DTTz8hNTUV48aNE2MLCwsxZswY3Lt3D97e3qhWrRp27NiBoUOH4sCBA2jUqFGJ+zx79iy+/fZbNG3aFFOmTEF6ejq2bNmCwYMH49ChQzA0NHzn68vKysKMGTNgY2ODQYMGoXr16rh69SpWrVqFixcvYsuWLZBIJHLHFRYWYu7cudDR0UFmZuZ7ryEREVG5E+iTduPGDeHGjRsVnQa9Zf/+/YK5ubncz+bXX38VzM3NhWPHjoltqampwvTp0wUbGxvB3NxcMDc3F2xsbAQvLy8hJSVF5vj4+HihsLBQEARBsLGxEaZNm1bk+ePi4gRra2vh559/fm+eoaGhgrm5ubB3716Zdh8fH8HKykp4+fKl2Hbs2DHB3NxcOH78uNiWmJgo2NnZCZMnT1aoT3d3d6Fr165CTk6O2Hb37l2hSZMmwvz589+be05OjnD58mW59lWrVgnm5ubC+fPnizxux44dgr29vTB37lzB3NxcSExMfO95iIiISqsk9RqnnRCVITs7OwBAXFyc2PbLL7/gyJEjGDlyJJycnODr6wsfHx9kZGQgKytL5vh69eoVOZr7tl27dqGgoAATJ04E8HoaiFDEAv+XL18GAPTo0UOm3d3dHTk5OTh9+rTYduLECdSoUQPdunUT2wwNDeHm5obTp0+LI/bF7TM5ORkPHz5Ely5doKGhIcY1adIEZmZmOHbs2Htfo4aGBlq2bCnX3rVrVwDAo0eP5PYlJydj+fLl8PX1hZ6e3nv7JyIiqggsvonK0OPHjwFApvD7/fff0adPH/j6+qJmzZqws7ODl5cXdu3ahVq1ail0ngsXLsDU1BQRERFwcXFBy5Yt4eDggOXLl6OwsFCMy83NhaqqqviwJiltbW0AwK1bt8S2u3fvomnTplBRkf1YsLKyQlZWFqKjo0vUp7RY19LSkstfS0sLz58//+DUmqK8fPkSAFCtWjW5fStWrICRkREGDRpU4n6JiIjKA4tvolJIT09HUlISnj17hhMnTiAgIAAaGhro2LGjGKOqqio3wl1asbGxePbsGWbMmIF+/fph5cqVaNeuHdauXYtly5aJcSYmJigoKMC1a9dkjv/nn38AAM+fPxfbXrx4ASMjI7lz1axZUya2uH3WqFEDenp6uHLlikzcq1evxFFrRW5OXb9+PXR1deHi4iLT/u+//2L37t2YPn06VFVVS9wvERFReeANl0SlMGLECJntevXq4ddff0Xt2rXFtr59+yI4OBh5eXl4/PixTMGrqMzMTBQWFmLKlCkYM2YMAMDV1RUpKSnYsmULxo4dC11dXfTs2ROrV6/G999/D39/fzRs2BDnz58XVybJzs4W+8zOzpaZHiIlbZOuMFLcPlVUVODh4YHg4GAsWbIE/fr1Q3p6On799Vfk5eXJnb841q1bhwsXLmDWrFly00qkq684OzuXqE8iIqLyxJFvolLw9/fHxo0bsXLlSrRv3x6vXr2SK2D9/Pwwe/ZsxMfH4/bt25g6dSqcnJywfv16mSkiJSGdytGzZ0+Z9p49eyI7Oxt3794FABgZGWHt2rXIzc2Fl5cXOnfujEWLFuHHH38EAOjo6Mj0WdRKLNI26eotJenT19cX/fv3x/r16+Hq6op+/fpBTU0N/fr1AwBUqVKl2K85NDQUy5cvR//+/TF48GC5fVevXsW0adOK3R8REVFF4Mg3USlYW1vDysoKANClSxcMHjwYU6ZMQVhYmFhYqqioYNCgQRg0aBCmT58OU1NT3L59G7/++qu4vF9J1axZEzExMahRo4ZMu3TpvpSUFLGtdevWOHXqFO7fv4/MzEw0adJEHH2XLh8IvC6qi5qDLY2VTj8pSZ8aGhr45Zdf4Ofnh5iYGFSvXh0mJiaYMmUKVFRUYGxsXKzXe/78efzvf/9Dhw4d8NNPP8ntX7RoEVxdXaGuri6uIZ6amgoAePbsGfLy8hSeX09ERFSWWHwTlRFVVVVMnjwZw4YNw/bt299ZVLdo0QJjxozBl19+ibCwMIWK72bNmiEmJgYJCQlo0KCB2C4tgN9eP1tVVRWWlpbi9oULFwAAbdu2FduaNGmCy5cvo7CwUOamyxs3bkBbWxsmJiYl7lOqRo0a4heFgoICXLp0CS1atCjWyPf169cxYcIENG/eHMuXL4eamvzH1tOnT3H06FEcPXpUbl+fPn3QpEkTHD58+IPnIiIi+thYfBOVIQcHB1hbW2Pz5s0YPnw4NDU1kZKSAn19fZk4QRBQWFhY5EogxeHu7o5jx45h37598PPzA/B/T4Q0MDBA8+bN33lsUlIS1q9fDwsLC5lCuXv37jhx4gTCw8PRvXt3MTYsLAwdO3Yscj74h/osSkhICF68eCFOU5H677//AEBmNPzRo0cYM2YM6tWrh8DAwHder9WrV8u1HTt2DKGhoVi4cKHMHHwiIqKKxOKbqIx5e3tj4sSJOHDgADw9PdG1a1f07dsX9vb2SExMxF9//YWtW7fi4cOHmD17tsyxZ86cwb///gsAyMvLw71797BmzRoAQKdOndCkSRMAQOfOneHo6IjAwEC8evUKFhYWOH36NC5fvow5c+bIFMpDhgyBjY0NGjZsiBcvXmDPnj3IzMzEunXrZEa4XV1dYWNjgxkzZuDhw4eoVq0adu7ciYKCAvj4+MjkWdw+Dx8+jPDwcLRu3Ro6Ojq4cOECjh8/jgEDBsDV1VWmT+nNq2fOnAHweiUZb29vpKamwtvbG7///rtMvLGxMWxtbQG8nvLzNum8dxcXl/c+SZOIiKg8sfgmKmPdunWDsbExNmzYgIEDB2Lq1KkIDQ3F0aNH8fLlS/z1118wNjbGrFmz4OnpKXNseHg4Dh48KG7fuXMHd+7cAQDUrl1bLL4lEglWr16N5cuX4/jx4zhw4ABMTEzw66+/olevXjJ9NmvWDGFhYUhISICuri7atm2LSZMmyUxXAV5PIwkKCsKiRYuwdetW5OTkwMrKCvPnz4epqalCfZqYmCAlJQVr1qxBdnY2TExM8NNPP8HDw+OD1zE5ORlPnz4FACxZskRuf58+fcTim4iIqLKQCEU9Fo8+GTdv3gQA8aY+qtymT5+OPn36wMHBoaJTISIiojJSknqNSw0SEREREZUTFt9E5ahLly6oV69eRadBREREFYRzvum9CgsFqKhIKjoNpVHUjYFEFYV/v4mIyh+Lb3ovFRUJVu88j8fPUz4cTESVRr2a+hjv6VTRaRARfXZYfNMHPX6egpjHryo6DSIiIqJKj3O+iYiIiIjKCYtvIiIiIqJywuKbiIiIiKicsPgmIiIiIionLL6JiIiIiMoJi28iIiIionLC4puIiIiIqJyw+CYiIiIiKicsvomIiIiIygmLbyIiIiKicsLim4iIiIionLD4JiIiIiIqJyy+iYiIiIjKCYtvIiIiIqJywuKbiIiIiKicsPgmIiIiIionn1zxHRsbC39/f3z11Vdo2rQpevbsWWRcamoq5s6dC2dnZ1hZWaFLly7YsGGDTExubi4WLlwIJycn2NjYYOTIkYiKipLr69GjRxg5ciRsbGzg5OSERYsWITc3Vy5u7969cHV1hZWVFXr16oWzZ8/KxaSlpWHmzJmwt7eHra0tfH198fz5cwWvBhEREREpE7WKTuBtDx48QEREBFq0aIHCwkIIgiAXk5mZiaFDh0JVVRUzZ85E9erVERMTg/T0dJm4uXPnIjQ0FNOnT0etWrWwbt06jBgxAseOHUPVqlUBACkpKRg+fDgaNWqEVatWISEhAQsWLEB2djb8/f3Fvo4dO4Yff/wR48aNQ5s2bRAaGooJEyZg+/btsLGxEeMmTZqEhw8fYvbs2dDU1MTy5csxevRo7N+/H2pqn9zlJiIiIqJy9MlVg506dUKXLl0AANOnT8etW7fkYoKCgpCRkYHffvsNOjo6AAAHBweZmGfPnmHfvn2YNWsW+vfvDwCwsrJCx44dsWvXLowePRoAsGvXLmRkZCAgIAAGBgYAgIKCAvz0008YO3YsatWqBQBYuXIlevTogUmTJgEA2rRpg/v372P16tUIDg4GAFy9ehXnzp1DSEgInJ2dAQAmJiZwd3dHeHg43N3dy/BKEREREVFl88lNO1FR+XBK+/btQ79+/cTCuyjnzp1DYWEhunfvLrYZGBjAyckJkZGRYltkZCQcHR3FwhsA3NzcUFhYiPPnzwMA4uLiEBMTAzc3N5lzuLu74+LFi+IUlcjISOjp6cHJyUmMMTU1haWlpcw5iYiIiOjz9MmNfH9IfHw8Xrx4gWrVqmHcuHE4d+4cdHR00K1bN8yYMQNVqlQBAERFRaF69erQ19eXOd7MzAz79u0Tt6OiotCvXz+ZGD09PRgZGYnzw6V/mpiYyPWVl5eHuLg4mJmZISoqCiYmJpBIJDJxpqamRc41Ly5BEJCZmanw8YqSSCTQ1tYu9/MSUfnJysoqcnofEREVnyAIcvXfu1S64vvly5cAgIULF6Jbt24IDg5GTEwMlixZgszMTCxduhTA6xsypfO636Snp4eUlBRxOzU1FXp6enJx+vr6Ypz0z7fjpNvS/e86p76+fpHTZ4orLy8Pd+/eVfh4RWlra6Np06blfl4iKj/R0dHIysqq6DSoElu3bh1cXFz47wV99jQ0NIoVV+mK78LCQgCvR6EXLlwIAHB0dISamhp++OEH+Pn5oUGDBhWZYplTV1dH48aNy/28xf0GR0SVl4mJCUe+CQDw22+/YdasWeK2qqoqDA0N0aZNG0yYMAE1a9Ys8jh9fX00bNgQlpaWRe7fs2cP/v77b9y6dQvPnj3Dl19+iTlz5nzw/G86efIkatSoIW4vXrwYly9fxpMnT5Cbm4s6deqgW7duGDZsmMyU1EePHmHdunW4e/cuEhMToaWlBRMTEwwfPhzt27eXOYe/vz+OHDkid+5GjRrh4MGDMm2FhYXYsmUL9u7di5cvX6Jhw4YYOXKk3PTUoly6dAnHjx/H1atX8fz5c1SvXh2tW7fGt99+CyMjIzHuyZMn6NGjxzv76dOnj8zCEFSxHj58WOzYSld8S6eRvH2DZZs2bQC8Xi2lQYMG0NPTk1v9BHg9Ov3mVBQ9PT2kpaXJxaWkpIhx0j/T0tJk/mKkpqbK7NfT08OzZ8/e25ciJBLJe+e3ExEpilPLSEo6aufr64v69esjNzcX165dw8GDB3H9+nUcPXoUmpqaRR77vn+ntmzZgoyMDFhZWeHly5dQU1MrMvbt87+pVq1aMue+e/cuWrdujYYNG0JTUxN37tzBxo0b8ffff2P79u3i/WNJSUnIzs5G3759UbNmTWRlZSE8PByTJk3CnDlz4OHhIfappqYGDQ0NzJ07V+bcVatWlct3yZIlCAoKwsCBA2FlZYXTp09j5syZ0NLSem/BDACrVq1CSkoKunfvjkaNGiEuLg7btm3DuXPncOjQIbHOqFu3LhYtWiR3/B9//IEjR46gffv2rA0+ISUZsKx0xXeDBg3eO6yfk5MD4PU865cvX8oVvlFRUTA1NRW3i5qPnZaWhhcvXohx0j/fPjYqKgrq6uriSLupqSkuXrwoN+8nOjoa5ubmir5kIiKicuPi4gIrKysAwIABA1CtWjUEBwfj9OnT4qpdaWlpmDdvHsLCwpCZmYkjR45AR0cHLVu2xLJly2SmaW7duhV169aFRCKBra1tic7/Ljt37pRrMzY2xsKFC3Hjxg1xCeD27dvLjXAPGTIEffv2xcaNG2WKb+B1Af7VV1+999wJCQnYuHEjvv76a3HkecCAARgyZAgWLVqE7t27Q1VV9Z3Hz5gxA61atZJZYKJdu3YYMmQItm3bBj8/PwCAjo5OkbkcPHgQurq66NSp03vzpE/XJ7fayYdoaGjAyckJFy9elGm/cOECAKBZs2YAAGdnZ6ioqCA8PFyMSUlJwblz5+Di4iK2ubi44MKFC+IoNgCEhYVBRUVFXLWkQYMGaNSoEcLCwmTOGRoaCkdHR/HLgIuLC1JSUmRyi46Oxp07d2TOSUREVFnY2dkBeL3yl9Qvv/yCI0eOYOTIkXBycoKvry98fHyQkZEhdw9BvXr1SjyNMT09HQUFBSU6pl69egAg8+95UVRVVVGnTp0if+sNvF5uuKjfnEudOnUKeXl5GDx4sNgmkUjg6emJZ8+e4erVq+89f+vWreVWdmvdujUMDAw+uDjD8+fPcenSJXTr1u2dv4WgT98nN/KdlZWFiIgIAMDjx4+Rnp4uFr329vYwNDTEhAkTMGjQIEyZMgV9+vRBbGwslixZgi+//BLGxsYAgNq1a6N///5YtGgRVFRUUKtWLQQGBqJq1aoYNGiQeL5BgwZh69atGD9+PMaOHYuEhAQsWrQIgwYNEtf4BgAfHx9MnToVxsbGcHBwQGhoKG7cuIFt27aJMba2tnB2dsbMmTMxbdo0aGpqYtmyZbCwsEC3bt3K4/IRERGVqcePHwOQXXTg999/R58+feDr64vp06fDzs4ODg4O8PLyKvX5hg0bhszMTKirq8PZ2RnTp09Ho0aN5OLy8/ORmpqKvLw8PHjwAMuXL0eVKlVgbW0tF5uZmYns7Gykp6fjzJkziIyMLHJ+dlZWFlq1aoWsrCzo6+ujR48emDp1qriSGvB6youOjg7MzMxkjpWe9+7du+IXluLKyMhARkYGqlWr9t640NBQFBYW4ssvvyxR//Rp+eSK78TEREycOFGmTbq9ZcsWODg4oHnz5ggODsbixYvxzTffQF9fHx4eHuKvaqR++OEHVKlSBUuWLEFGRgZatmyJjRs3yqxIoq+vj82bN+Pnn3/G+PHjUaVKFfTv31+ur549eyIrKwvBwcEICgqCiYkJAgIC5H6Ftnz5csyfPx/+/v7Iz8+Hs7MzfvjhBz7dkoiIKoX09HQkJSUhNzcX169fR0BAADQ0NNCxY0cxRlVVtcxXydHS0kLfvn3h4OAAXV1d3Lp1C5s2bcKgQYNw8OBB1KlTRyb+1q1bMtNGTExMsHbtWpnndkgtWLAAu3fvBvD6eSJdu3aVu1nRyMgIo0aNQtOmTSEIAv744w/s2LED//77L7Zu3Sr+O/7ixQtUr15dbjRfOlf7+fPnJX7tmzdvRl5e3gdv2Pztt99gZGQk3udGldMnVxHWr18f9+7d+2Cco6Mj9u/f/94YDQ0NTJs2DdOmTXtvnJmZGTZt2vTBcw4YMAADBgx4b0zVqlUxb948zJs374P9ERERfWpGjBghs12vXj38+uuvqF27ttjWt29fBAcHIy8vD48fP1ao4Hybu7u7zJOgu3TpAmdnZwwZMgRr166VWyGlcePG2LhxIzIzM3H16lVcvHjxnc/EGD58OLp3747nz5/j+PHjKCwsRF5enkzMlClTZLZ79OiBRo0aYdmyZThx4oR4I2V2dnaR955Jp4FkZ2eX6HX//fffWL16Ndzc3ODo6PjOuOjoaNy+fRsjRowo1gMJ6dPFnx4RERGJ/P39sXHjRqxcuRLt27fHq1ev5IpNPz8/zJ49G/Hx8bh9+zamTp0KJycnrF+/XlwSuCzY2dmhRYsWcvd5AYCuri7atm2LLl264LvvvsPIkSPx7bff4t9//5WLNTMzQ9u2bdG7d28EBgYiMzMT48aN++Aym9JCV3pfGfB6hF76ZOs3SRd80NLSKvbre/ToESZMmIAvvvhCbpWVt0mXQeSUk8qPxTcRERGJrK2t0bZtW7i6umLt2rUwNzfHlClTkJGRIcaoqKhg0KBB2L9/P7766itMmTIFdnZ2+PXXX7F+/foyzad27doyD8d7F+m9VceOHftgrKurK27evIno6Oj3xmlpacHAwEDm/EZGRnj58qVc4f7ixQsAeOd66G97+vQpvL29oauri6CgIOjq6r43/ujRozAxMUHz5s2L1T99ulh8ExERUZFUVVUxefJkPH/+HNu3b39nXIsWLbBixQqYm5vLrQxWWnFxcR+8EREAcnNzUVhY+M5VTN4knRryvlVNpPtfvXoFQ0NDsc3S0hJZWVl49OiRTOz169fF/R/y6tUreHl5ITc3FyEhIR8s2K9fv47Y2FiOeisJFt9ERET0Tg4ODrC2tsbmzZvFqRVFjUQLgoDCwsISTbt4U1JSklxbREQEbt++jXbt2olt0hVO3rZ3714AkBkZTkxMlIvLy8vD4cOHoaWlJa5YkpOTU2QhvmbNGgiCIHP+zp07Q11dHTt27BDbBEHArl27UKtWLZmFGJ4/f45Hjx7J5JuZmYkxY8YgISEBQUFBRa7k8jZOOVEun9wNl0RERPRp8fb2xsSJE3HgwAF4enqia9eu6Nu3L+zt7ZGYmIi//voLW7duxcOHDzF79myZY8+cOSPOw87Ly8O9e/ewZs0aAECnTp3QpEkTAK+X/rW0tETz5s1RtWpV3LlzB/v370edOnUwbtw4sb+//voLc+fOhaurKxo2bIi8vDxcvnwZ4eHhaN68OXr16iXG+vv7Iz09Ha1bt0atWrXw4sULHDlyBFFRUZg+fbq4hOCLFy/Qp08f9OjRQ3yY3rlz5xAREYF27dqhc+fOYp+1a9fGsGHDEBISgvz8fFhZWeHUqVP4559/sHjxYpkH7CxduhQHDx7E6dOnxad2Tp06FTdu3EC/fv3w6NEjmRH0KlWqoEuXLjLXr6CgAMePH4eNjY24nDJVbiy+iYiI6L26desGY2NjbNiwAQMHDsTUqVMRGhqKo0eP4uXLl/jrr79gbGyMWbNmwdPTU+bY8PBwHDx4UNy+c+cO7ty5A+B1ISstvt3c3BAREYHz588jOzsbRkZGGDBgACZMmIAaNWqIx5ubm8PBwQGnT5/GixcvIAgCjI2NMX78eHh7e8vcHOru7o59+/Zh586dSE5ORpUqVdCsWTNMnTpVpqDW09NDhw4dcOHCBRw6dAgFBQVo2LAhJk+eDC8vL7nVRaZOnQp9fX3s3r0bBw4cQKNGjfDrr78Wa2Ra+kVk//79cqu21atXT674vnDhAl6+fCnzBYQqN4nwoVt9qULdvHkTAD74qN2PaeaKUMQ8flVh5yeisteoXjXMm+j+4UCiD5g+fTr69OkDBweHik6FqMKUpF7jnG8iIiIionLC4puIiIgU1qVLF9SrV6+i0yCqNDjnm4iIPiuFhQJUVCQfDqRieXuOMlFFqgx/v1l8ExHRZ0VFRYLVO8/j8fMPP7iFiCqPejX1Md7TqaLT+CAW30RE9Nl5/DyFN5ITUYXgnG8iIiIionLC4puIiIiIqJyw+CYiIiIiKicsvomIiIiIygmLbyIiIiKicsLim4iIiIionLD4JiIiIiIqJyy+iYiIiIjKCYtvIiIiIqJywuKbiIiIiKicsPgmIiIiIionaqU5+OHDh3j48CFevXoFiUSCatWqwczMDI0bNy6r/IiIiIiIlEaJi+9Lly7h4MGDOHv2LFJTUyEIgsx+iUSCqlWromPHjujbty8cHBzKLFkiIiIiosqs2MV3ZGQkVqxYgdu3b+OLL75Anz590KxZMzRo0AB6enoQBAGpqamIj4/H7du3cf78eRw+fBhNmzaFn58f2rVr9zFfBxERERHRJ6/YxffEiRPRv39/LFq0CGZmZu+Ms7W1xZdffgkAePToEXbt2oWJEyfiypUrpc+WiIiIiKgSK3bxffbsWRgYGJSoczMzM3z//fcYP358SfMiIiIiIlI6xV7tpKSFd1kdS0RERESkLLjUIBERERFROVGo+I6Li8P169dl2nJycjB79mw4OjqiY8eOWLZsGQoKCsokSSIiIiIiZaBQ8T1jxgysWrVKpi0gIAC7du2CjY0NzMzMEBQUhJCQkDJJkoiIiIhIGShUfN+8eRMdO3YUtwVBwO7du+Hp6Ym1a9di/fr16NevHw4ePFhmiRIRERERVXbFXu3k0KFDAF5PL8nJyUFsbKzY9vz5c6SmpkJbW1ts09LSwuPHj8XtJk2aoEmTJmWZOxERERFRpVLs4js+Ph4AkJeXBwB49eqV2Hb16lWoqalBR0dHbMvMzERhYaG4Xa9evTJNnIiIiIiosil28T1hwgTx/3fu3Ilq1aqJbaNGjYKtra1MzMmTJ3HhwgWZNiIiIiKiz1mxi+839e3bF5s3b8ajR4+QnZ2NK1euYPny5TIx586dQ9OmTcsiRyIiIiIipaBQ8T1lyhRUqVIFERERUFVVxezZs+Hq6iruT01NxeXLlzFx4sQyS5SIiIiIqLJTqPhWV1eHj48PfHx8ityvp6eHo0ePlioxIiIiIiJl81GfcJmenl7iY2JjY+Hv74+vvvoKTZs2Rc+ePd8bf+rUKVhYWBQZl5aWhpkzZ8Le3h62trbw9fXF8+fP5eKuXLkCDw8PWFtbo2PHjggKCoIgCDIxgiAgKCgIHTp0gLW1NTw8PHDt2jW5vhISEuDj4wNbW1vY29vj+++/V+g6EBEREZHy+SjFd2JiIpYuXSqzFnhxPXjwABEREWjYsCHMzMzeG5udnY158+ahRo0aRe6fNGkSzp8/j9mzZ2Px4sWIjo7G6NGjkZ+fL8bExsbC29sbRkZGCAwMxPDhw7Fy5Ups2LBBpq/g4GCsXLkSI0aMQGBgIIyMjODl5YW4uDgxJi8vD6NGjUJMTAyWLFmC2bNn49y5c5gyZUqJrwMRERERKZ8STztJTEzEoUOH8N9//0FfXx/dunVD8+bNAbwe9V27di0OHjyInJwc2NvblzihTp06oUuXLgCA6dOn49atW++MDQwMRN26dVG/fn25uKtXr+LcuXMICQmBs7MzAMDExATu7u4IDw+Hu7s7ACAkJATVqlXD0qVLoaGhAUdHRyQlJWHdunUYOnQoNDQ0kJOTg8DAQHh5eWHEiBEAgFatWqF79+4ICQnB7NmzAQAnTpzAgwcPEBoaClNTUwCvp+B4e3vjxo0bsLa2LvH1ICIiIiLlUaLi+9GjRxgyZAiSk5PFaRnr16/Hr7/+ColEgu+//x65ubno1q0bvL29xaK8JFRUijcY/99//2Hjxo3YtWsXNm3aJLc/MjISenp6cHJyEttMTU1haWmJyMhIsfiOjIxE165doaGhIca5u7sjMDAQV69ehYODA65cuYL09HS4ubmJMRoaGujatStOnjwpc04LCwux8AYAJycnGBgYICIigsU3ERER0WeuRMX3ihUrkJmZiVmzZsHOzg7x8fGYP38+5s2bh7S0NHTs2BFTp05FgwYNPla+ol9++QVfffXVO5+aGRUVBRMTE0gkEpl2U1NTREVFAXj9IKCnT5/KFMvSGIlEgqioKDg4OIjxb8eZmZlh8+bNyM7OhpaWFqKiouRiJBIJTExMxD4UIQgCMjMzFT5eURKJBNra2uV+XiIqP1lZWXL3uCgzfq4RKb+K+FwTBEGu5nyXEhXf//zzDzw9PTFo0CAAQOPGjaGqqorRo0ejT58+mD9/fsmzVcCZM2dw9epVhIWFvTMmNTUVVatWlWvX19cXp6ikpaUBeD015E0aGhrQ1tZGSkqK2JeGhgY0NTVl4vT09CAIAlJSUqClpfXec0r7UkReXh7u3r2r8PGK0tbW5lrtREouOjoaWVlZFZ1GueHnGpHyq6jPtTdnUbxPiYrv5ORkWFhYyLRJR56l87Q/tpycHMybNw8+Pj4wNDQsl3NWNHV1dTRu3Ljcz1vcb3BEVHmZmJh8diPfRKTcKuJz7eHDh8WOLVHxXVhYCDU12UOk2zo6OiXpSmGbN2+GiooKevTogdTUVACvR4YLCwuRmpoKLS0taGhoQE9PD8+ePZM7PiUlBfr6+gAgjlJLR8ClcnNzkZWVJcbp6ekhNzcXOTk5MqPfqampkEgkMnFFLSuYkpKCOnXqKPyaJRJJuV1fIvq8cAoGESmbivhcK8kX+xKvdnLr1i2ZAjQjIwMSiQSXL1+WK2IBoFu3biU9xXtFRUUhNjYWjo6Ocvtat26N2bNnw9PTE6amprh48aLcHJzo6GiYm5sDeP2FoU6dOnLzsaOjoyEIgjh/W/pndHS0zBzzqKgo1K1bF1paWmLc/fv3ZfoSBAHR0dEyN34SERER0eepxMX35s2bsXnzZrn2gIAAuTaJRFLmc5Wl88vfFBQUhOjoaMyfPx+NGjUCALi4uGDNmjW4ePEi2rZtC+B18Xznzh2MGjVKPNbFxQWnT5/Gd999B3V1dQBAaGgo9PT0YGtrCwBo2bIldHV1cfz4cbH4zsvLQ3h4OFxcXGT6+u233xATEyPmcfHiRSQnJ6N9+/Zleh2IiIiIqPIpUfG9ZcuWj5WHKCsrCxEREQCAx48fIz09Xbyx0t7eHmZmZnIP3zl48CASEhLg4OAgttna2sLZ2RkzZ87EtGnToKmpiWXLlsHCwkJmNN7b2xtHjhzBlClT4Onpifv37yMkJAR+fn7ixHlNTU2MHTsWq1atgqGhIczNzbFz504kJyfD29tb7MvV1RWBgYHw8fHB5MmTkZWVhUWLFolPxSQiIiKiz1uJim9FHppTUomJiZg4caJMm3R7y5YtMgX2hyxfvhzz58+Hv78/8vPz4ezsjB9++EFm3nrDhg0REhKCBQsWYMyYMTA0NISvry+8vLxk+ho9ejQEQcCGDRuQlJQES0tLhISEyCyrqK6ujvXr12Pu3LmYPHky1NTU0LVrV8ycOVORS0FERERESkYifE63uVdCN2/eBABYWVlVWA4zV4Qi5vGrCjs/EZW9RvWqYd5E94pOo8Lwc41I+VTk51pJ6rXiPU4SgL+/P+Li4kqczH///Qd/f/8SH0dEREREpGyKPe3k6dOncHNzQ5s2beDu7g5HR8d3Lp8XHx+Pixcv4vjx47h06RJX+iAiIiIiQgmK7+DgYFy+fBkbNmyAv78/CgoKYGBggHr16kFfX1980mN8fDxSU1OhqqoKFxcXbN68GXZ2dh/zNRARERERVQoluuGyVatWaNWqFZKSknD27Flcu3YNUVFR4sNsDAwM0K1bN9jY2KBDhw6oXr36R0maiIiIiKgyKvE63wBgaGiIfv36oV+/fmWdDxERERGR0ir2DZdERERERFQ6LL6JiIiIiMoJi28iIiIionLC4puIiIiIqJyw+CYiIiIiKicsvomIiIiIygmLbyIiIiKicqLQOt9SERER2LRpE+7cuYO0tDQIgiAXc/fu3dKcgoiIiIhIaSg88n3ixAmMGzcOL1++hLu7OwoLC9GjRw+4u7tDS0sLFhYWGD9+fFnmSkRERERUqSk88h0YGAhra2vs2LEDKSkp2LlzJ/r16wdHR0fEx8fDw8MD9evXL8tciYiIiIgqNYVHvh89egR3d3eoqqpCTe11DZ+fnw8AqF+/Pjw9PREcHFw2WRIRERERKQGFi28tLS2oq6sDAPT09KChoYEXL16I+2vUqIH4+PjSZ0hEREREpCQULr5NTEzw6NEjcdvS0hKHDx9Gfn4+cnJycPToUdSpU6dMkiQiIiIiUgYKF99du3bF6dOnkZubCwAYN24c/vrrL7Ru3Rpt2rTBP//8gzFjxpRZokRERERElZ3CN1x6e3vD29tb3O7YsSO2bt2K8PBwqKqqon379mjTpk2ZJElEREREpAxKtc732+zs7GBnZ1eWXRIRERERKQ0+4ZKIiIiIqJwoPPItCAJ2796Nffv2IS4uDqmpqXIxEokEd+7cKVWCRERERETKQuHie9GiRdi0aRMsLS3Rq1cv6Ovrl2VeRERERERKR+Hi+9ChQ+jWrRtWrFhRlvkQERERESkthed8Z2dno23btmWZCxERERGRUlO4+HZ0dMTNmzfLMhciIiIiIqWmcPE9a9YsXL9+HevWrcOrV6/KMiciIiIiIqVU7Dnftra2kEgkMm0FBQVYsWIFVqxYAU1NTaioyNbyEokEly9fLptMiYiIiIgquWIX366urnLFNxERERERFV+xi+8FCxZ8zDyIiIiIiJQen3BJRERERFROFF7nG3g95/vcuXOIi4tDSkoKBEGQ2S+RSDB+/PhSJUhEREREpCwULr5v3rwJX19fPHv2TK7olmLxTURERET0fxQuvn/66SdkZ2dj9erVsLOzg56eXlnmRURERESkdBQuvu/duwc/Pz906tSpLPMhIiIiIlJaCt9wWbt27XdONyEiIiIiInkKF9+jR4/Gnj17kJ6eXpb5EBEREREpLYWnnWRkZKBKlSro2rUrevTogdq1a0NVVVUmRiKRYMSIEaXNkYiIiIhIKShcfC9cuFD8/23bthUZo0jxHRsbi5CQEFy/fh0PHjyAqakpjh49Ku5PT0/Hxo0bERERgZiYGGhoaMDa2hp+fn6wsLCQ6SstLQ3z58/HqVOnkJeXh3bt2uGHH35AzZo1ZeKuXLmChQsX4u7du6hevTo8PT0xevRomSd6CoKA4OBg7NixA0lJSbC0tMSMGTNgY2Mj01dCQgLmzp2Lc+fOQV1dHV27dsWMGTOgq6tboutARERERMpH4eL79OnTZZmH6MGDB4iIiECLFi1QWFgoN6/8yZMn2L17N/r164dJkyYhJycHGzZsgIeHB/bv3w8zMzMxdtKkSXj48CFmz54NTU1NLF++HKNHj8b+/fuhpvb6pcfGxsLb2xtOTk6YNGkS7t27h8WLF0NVVRXe3t5iX8HBwVi5ciWmTp0KCwsLbN++HV5eXjh8+DAaNGgAAMjLy8OoUaMAAEuWLEF2djYWLlyIKVOmIDAw8KNcLyIiIiKqPBQuvuvVq1eWeYg6deqELl26AACmT5+OW7duyeyvX78+Tp48CW1tbbGtTZs26NSpE3bs2IEff/wRAHD16lWcO3cOISEhcHZ2BgCYmJjA3d0d4eHhcHd3BwCEhISgWrVqWLp0KTQ0NODo6IikpCSsW7cOQ4cOhYaGBnJychAYGAgvLy9xJL9Vq1bo3r07QkJCMHv2bADAiRMn8ODBA4SGhsLU1BQAoKenB29vb9y4cQPW1tYf5ZoRERERUeXwyT1eXkXl/Snp6OjIFN4AUKVKFRgbG+P58+diW2RkJPT09ODk5CS2mZqawtLSEpGRkTJxnTt3hoaGhtjm7u6O1NRUXL16FcDraSnp6elwc3MTYzQ0NNC1a1e5viwsLMTCGwCcnJxgYGCAiIiI4l4CIiIiIlJSpXq8/L///ott27bhzp07SEtLQ2Fhocx+iUSCU6dOlSrB4khNTcWDBw/Qtm1bsS0qKgomJiYy87aB1wV4VFQUACAzMxNPnz6VKZalMRKJBFFRUXBwcBDj344zMzPD5s2bkZ2dDS0tLURFRcnFSCQSmJiYiH0oQhAEZGZmKny8oiQSidwXHSJSLllZWZ/VsrH8XCNSfhXxuSYIglzN+S4KF9+XLl3CqFGjoK+vj+bNm+POnTto06YNcnJycO3aNTRu3BjNmzdXtPsS+fXXXyGRSODp6Sm2paamomrVqnKx+vr64lSWtLQ0AJB7OqeGhga0tbWRkpIi9qWhoQFNTU2ZOD09PQiCgJSUFGhpab33nNK+FJGXl4e7d+8qfLyitLW10bRp03I/LxGVn+joaGRlZVV0GuWGn2tEyq+iPtfenEXxPgoX3ytXrkSDBg2wZ88e5Obmom3bthg7diwcHR1x/fp1jB49GlOnTlW0+2Lbv38/9uzZgwULFqB27dof/XwVQV1dHY0bNy738xb3GxwRVV4mJiaf3cg3ESm3ivhce/jwYbFjFS6+79y5Ax8fH+jq6oqjutJpJy1atICHhwdWrFiB9u3bK3qKD4qIiIC/vz++/fZb9OnTR2afnp4enj17JndMSkoK9PX1AUAcpZaOgEvl5uYiKytLjNPT00Nubi5ycnJkRr9TU1MhkUhk4op66FBKSgrq1Kmj8OuUSCTQ0dFR+HgionfhFAwiUjYV8blWki/2Ct9wqaqqiipVqgB4XXSqqakhMTFR3N+gQQM8evRI0e4/6Nq1a5g4cSJ69+6NiRMnyu03NTVFdHS03Def6OhocV62jo4O6tSpIzcfW3qcNE76Z3R0tExcVFQU6tatCy0tLTHu7b4EQZA5JxERERF9vhQuvo2NjRETEwPgdbVvamoqc3Pl77//jho1apQ6waI8fPgQY8eORZs2bfDTTz8VGePi4oKUlBRcvHhRbIuOjsadO3fg4uIiE3f69Gnk5eWJbaGhodDT04OtrS0AoGXLltDV1cXx48fFmLy8PISHh8v19e+//4rXBQAuXryI5OTkj/obACIiIiKqHBSedtK+fXvs378fU6ZMgZqaGkaOHIkZM2agW7duAID//vsPkydPLnG/WVlZ4rJ8jx8/Rnp6OsLCwgAA9vb2EAQB3t7e0NTUxPDhw2XWAdfV1RXnRtva2sLZ2RkzZ87EtGnToKmpiWXLlsHCwkLMEQC8vb1x5MgRTJkyBZ6enrh//z5CQkLg5+cnTpzX1NTE2LFjsWrVKhgaGsLc3Bw7d+5EcnKyzIN4XF1dERgYCB8fH0yePBlZWVlYtGgROnTowDW+iYiIiAgSQcEZ6Xl5eUhPT4eBgYE4z+Xw4cMIDw+HqqoqOnTogL59+5a43/j4eHTu3LnIfVu2bAEADBs2rMj99vb22Lp1q7gtfbz8yZMnkZ+fD2dnZ/zwww+oVauWzHFXrlzBggULcPfuXRgaGuLrr78u8vHyQUFBco+Xl46OS735eHk1NTV07doVM2fOVPjx8jdv3gQAWFlZKXR8WZi5IhQxj19V2PmJqOw1qlcN8ya6V3QaFYafa0TKpyI/10pSrylcfFP5YPFNRB8Di29+rhEpm8pSfJfqITsAUFBQgNu3byM+Ph7A68e/N2vWDKqqqqXtmoiIiIhIqZSq+D5w4ACWLl2KxMREcVURiUQCQ0ND+Pn5oX///mWSJBERERGRMlC4+N61axdmz54NS0tLTJgwAY0aNQLwekWR3bt348cff0ReXp7MUyeJiIiIiD5nChffwcHBsLOzw8aNG6Guri62t2nTBv3798fw4cOxfv16Ft9ERERERP+fwut8v3z5Em5ubjKFt5S6ujp69Ogh89AdIiIiIqLPncLFt6WlpdwTH98UHR2NJk2aKNo9EREREZHSUbj4/vHHHxEWFobNmzcjOztbbM/OzsamTZsQFhYGf3//MkmSiIiIiEgZKDzne/r06VBRUcGCBQvw66+/ombNmgCA58+fo6CgADVr1sS0adNkjpFIJPjtt99KlzERERERUSWlcPFtYGAAAwMDNGzYUKa9Xr16pU6KiIiIiEgZKVx8v/kYdyIiIiIi+jCF53wTEREREVHJlPrx8k+ePEFcXBxSU1PFp1y+qVu3bqU9BRERERGRUlC4+H7y5AlmzpyJS5cuAUCRhbdEIsHdu3cVz46IiIiISIkoXHxPmzYN165dw5gxY2BtbY2qVauWZV5EREREREpH4eL7+vXrGD16NHx9fcsyHyIiIiIipaXwDZe1a9eGnp5eWeZCRERERKTUFC6+vby8sH//fmRlZZVlPkRERERESkvhaSeDBg1CQUEBunXrBldXV9SuXRuqqqoyMRKJBCNGjChtjkRERERESkHh4vv+/fsICQnBixcvsG3btiJjWHwTEREREf0fhYtvf39/pKWlYc6cOVzthIiIiIioGBQuvu/evQsfHx8MHDiwLPMhIiIiIlJaCt9wWb9+/bLMg4iIiIhI6SlcfPv4+GDHjh14+vRpWeZDRERERKS0FJ528s8//6Bq1aro3r07HB0dUadOHbnVTgDghx9+KFWCRERERETKQuHi+80VTn7//fciYyQSCYtvIiIiIqL/T+Hi+99//y3LPIiIiIiIlJ7Cc76JiIiIiKhkWHwTEREREZUThaedAEBERAQ2bdqEO3fuIC0tDYIgyMXcvXu3NKcgIiIiIlIaCo98nzhxAuPGjcPLly/h7u6OwsJC9OjRA+7u7tDS0oKFhQXGjx9flrkSEREREVVqCo98BwYGwtraGjt27EBKSgp27tyJfv36wdHREfHx8fDw8OCDeIiIiIiI3qDwyPejR4/g7u4OVVVVqKm9ruHz8/MBvH76paenJ4KDg8smSyIiIiIiJaBw8a2lpQV1dXUAgJ6eHjQ0NPDixQtxf40aNRAfH1/6DImIiIiIlITCxbeJiQkePXokbltaWuLw4cPIz89HTk4Ojh49ijp16pRJkkREREREykDh4rtr1644ffo0cnNzAQDjxo3DX3/9hdatW6NNmzb4559/MGbMmDJLlIiIiIioslP4hktvb294e3uL2x07dsTWrVsRHh4OVVVVtG/fHm3atCmTJImIiIiIlEGp1vl+m52dHezs7MqySyIiIiIipVGiaSeFhYUICgrCoUOH3ht36NAhBAUFlSYvIiIiIiKlU6Li+9ChQ1i+fDm++OKL98Y1btwYy5cvx2+//Vaq5IiIiIiIlEmJiu8jR46gffv2aNas2Xvjmjdvjk6dOn1whLwosbGx8Pf3x1dffYWmTZuiZ8+eRcbt3bsXrq6usLKyQq9evXD27Fm5mLS0NMycORP29vawtbWFr68vnj9/Lhd35coVeHh4wNraGh07dkRQUBAEQZCJEQQBQUFB6NChA6ytreHh4YFr167J9ZWQkAAfHx/Y2trC3t4e33//PdLT00t8HYiIiIhI+ZSo+L5z5w4cHR2LFWtvb4/bt2+XOKEHDx4gIiICDRs2hJmZWZExx44dw48//gg3NzcEBwfDxsYGEyZMkCuGJ02ahPPnz2P27NlYvHgxoqOjMXr0aPFhQMDrYt/b2xtGRkYIDAzE8OHDsXLlSmzYsEGmr+DgYKxcuRIjRoxAYGAgjIyM4OXlhbi4ODEmLy8Po0aNQkxMDJYsWYLZs2fj3LlzmDJlSomvAxEREREpnxLdcJmZmYkqVaoUK7ZKlSrIzMwscUKdOnVCly5dAADTp0/HrVu35GJWrlyJHj16YNKkSQCANm3a4P79+1i9erX4VM2rV6/i3LlzCAkJgbOzM4DXa5O7u7sjPDwc7u7uAICQkBBUq1YNS5cuhYaGBhwdHZGUlIR169Zh6NCh0NDQQE5ODgIDA+Hl5YURI0YAAFq1aoXu3bsjJCQEs2fPBgCcOHECDx48QGhoKExNTQG8fgCRt7c3bty4AWtr6xJfDyIiIiJSHiUa+a5evTpiY2OLFRsbGwtDQ8OSJ6Ty/pTi4uIQExMDNzc3mXZ3d3dcvHhRXHc8MjISenp6cHJyEmNMTU1haWmJyMhIsS0yMhKdO3eGhoaGTF+pqam4evUqgNfTUtLT02XOqaGhga5du8r1ZWFhIRbeAODk5AQDAwNERESU5DIQERERkRIq0ci3nZ0dDh8+jG+++Qba2trvjMvMzMThw4dhb29f6gTfFhUVBeD1KPabzMzMkJeXh7i4OJiZmSEqKgomJiaQSCQycaampmIfmZmZePr0qUyxLI2RSCSIioqCg4ODGP92nJmZGTZv3ozs7GxoaWkhKipKLkYikcDExETsQxGCICj0W4TSkkgk7/05E1Hll5WVJXePizLj5xqR8quIzzVBEORqzncpUfHt7e2N48ePY8yYMVi8eDFq1aolF5OQkIDvvvsOL1++hJeXV0m6L5aUlBQAr6dzvEm6Ld2fmpqKqlWryh2vr68vTmVJS0srsi8NDQ1oa2vL9KWhoQFNTU25cwqCgJSUFGhpab33nNK+FJGXl4e7d+8qfLyitLW10bRp03I/LxGVn+joaGRlZVV0GuWGn2tEyq+iPtfenEXxPiUqvi0tLTF79mzMnj0bnTt3RuvWrWFubo4qVaogIyMD9+/fx99//w1BEODv7w9LS0uFkidZ6urqaNy4cbmft7jf4Iio8jIxMfnsRr6JSLlVxOfaw4cPix1b4idcDhgwAF988QUCAgLw559/4uLFi//XmZoaHBwcMGHCBNja2pa062LR19cH8HrU2sjISGxPTU2V2a+np4dnz57JHZ+SkiLGSEeppSPgUrm5ucjKypLpKzc3Fzk5OTKj36mpqZBIJDJxRS0rmJKSgjp16ij2gvH6HwsdHR2FjyciehdOwSAiZVMRn2sl+WKv0OPlbWxssH79emRnZyM2Nhbp6enQ1dVFw4YNoaWlpUiXxSadU/32/OqoqCioq6ujQYMGYtzFixfl5uBER0fD3NwcAKCjo4M6derIzceOjo6GIAhi/9I/o6Oj0aRJE5lz1q1bV3zNpqamuH//vkxfgiAgOjpa5sZPIiIiIvo8lWi1k7dpaWnBwsICrVq1goWFxUcvvAGgQYMGaNSoEcLCwmTaQ0ND4ejoKM63cXFxQUpKiszIfHR0NO7cuQMXFxexzcXFBadPn0ZeXp5MX3p6euLofcuWLaGrq4vjx4+LMXl5eQgPD5fr699//0VMTIzYdvHiRSQnJ6N9+/ZlcwGIiIiIqNJSaOT7Y8rKyhKX5Xv8+DHS09PFQtve3h6Ghobw8fHB1KlTYWxsDAcHB4SGhuLGjRvYtm2b2I+trS2cnZ0xc+ZMTJs2DZqamli2bBksLCzQrVs3Mc7b2xtHjhzBlClT4Onpifv37yMkJAR+fn5iIa+pqYmxY8di1apVMDQ0hLm5OXbu3Ink5GR4e3uLfbm6uiIwMBA+Pj6YPHkysrKysGjRIvGpmERERET0efvkiu/ExERMnDhRpk26vWXLFjg4OKBnz57IyspCcHAwgoKCYGJigoCAALl55suXL8f8+fPh7++P/Px8ODs744cffoCa2v+97IYNGyIkJAQLFizAmDFjYGhoCF9fX7mVWkaPHg1BELBhwwYkJSXB0tISISEh4jQX4PWNkevXr8fcuXMxefJkqKmpoWvXrpg5c2ZZXyYiIiIiqoQkwud0m3sldPPmTQCAlZVVheUwc0UoYh6/qrDzE1HZa1SvGuZNdK/oNCoMP9eIlE9Ffq6VpF4r1ZxvIiIiIiIqPhbfRERERETlpFRzvgsKChAWFoZLly4hMTERvr6+sLCwQFpaGi5evIiWLVuiRo0aZZUrEREREVGlpnDxnZqailGjRuHGjRvQ0dFBVlYWhgwZAuD1+tlz585F7969MXny5DJLloiIiIioMlN42snixYvx4MEDhISE4NSpUzKP8VRVVYWrq6u4ZCAREREREZWi+D59+jSGDh0KJyenIh+p2ahRIzx+/LhUyRERERERKROFi++0tDTUr1//nfvz8/NRUFCgaPdEREREREpH4eLb2NgYt2/ffuf+8+fPw8zMTNHuiYiIiIiUjsLFd//+/bF//36EhoaK870lEglyc3OxbNky/PHHH/Dw8CizRImIiIiIKjuFVzsZPnw4Hj58iMmTJ0NPTw8AMHXqVCQnJyM/Px8eHh4YMGBAmSVKRERERFTZKVx8SyQScTnBEydOIDY2FoWFhTA2Noabmxtat25dlnkSEREREVV6pXrIDgDY2dnBzs6uLHIhIiIiIlJqfLw8EREREVE5KfbId6dOnYpcz/t9JBIJTp06VeKkiIiIiIiUUbGLb3t7e7ni+9atW3jw4AEaN24MExMTAEB0dDQePnyIL774As2bNy/bbImIiIiIKrFiF98LFiyQ2T516hROnTqFjRs3wtHRUWbf+fPnMWnSJEycOLFssiQiIiIiUgIKz/lesWIFhgwZIld4A4CTkxO+/vprrFixolTJEREREREpE4WL79jYWBgYGLxzv4GBAf777z9FuyciIiIiUjqlerz8gQMHkJGRIbcvPT0d+/fvR4MGDUqVHBERERGRMlF4ne9JkybB19cXbm5u6NOnDxo2bAjg9Yj4wYMHkZiYyGknRERERERvULj47tKlC4KCgrB48WIEBgbK7LO0tMQvv/yCdu3alTpBIiIiIiJlUaonXDo7O8PZ2RkvXrzAkydPAAB169aFkZFRmSRHRERERKRMSv14eQAwMjJiwU1ERERE9AF8vDwRERERUTlh8U1EREREVE5YfBMRERERlRMW30RERERE5YTFNxERERFROSmT1U7S09ORnp6OwsJCuX1169Yti1MQEREREVV6pSq+d+zYgU2bNiEuLu6dMXfv3i3NKYiIiIiIlIbC00527tyJOXPmwNjYGJMmTYIgCBg+fDjGjBmDGjVqoEmTJvjll1/KMlciIiIiokpN4eJ727ZtcHZ2xvr16zFw4EAAQPv27eHn54fQ0FBkZGQgOTm5rPIkIiIiIqr0FC6+//vvP3Ts2BEAoK6uDgDIy8sDAFStWhX9+/fHjh07yiBFIiIiIiLloHDxXbVqVRQUFAAAdHV1oa2tjWfPnon7q1SpgpcvX5Y+QyIiIiIiJaFw8f3FF1/g33//FbdbtGiBnTt3IiEhAU+fPsXu3bvRqFGjssiRiIiIiEgpKFx89+rVCw8ePEBubi4AwMfHB48ePUKHDh3QqVMnREdHY9KkSWWVJxERERFRpafwUoP9+vVDv379xO1WrVrh2LFjOH36NNTU1ODk5AQTE5MySZKIiIiISBmUyUN2pBo0aIARI0aUZZdEREREREpD4eI7PT0daWlpqFOnjtiWkJCAXbt2ITc3F66urrC2ti6TJImIiIiIlIHCc779/f0xceJEcTs9PR0DBw7E2rVrsXHjRnz99de4dOlSmSRZlNOnT2PAgAGwtbWFs7MzJk6cWOSTNvfu3QtXV1dYWVmhV69eOHv2rFxMWloaZs6cCXt7e9ja2sLX1xfPnz+Xi7ty5Qo8PDxgbW2Njh07IigoCIIgyMQIgoCgoCB06NAB1tbW8PDwwLVr18rsdRMRERFR5aVw8X358mV06NBB3D58+DBevHiBXbt24a+//oKFhQXWrl1bFjnKuXTpEiZMmIDGjRtj9erVmDlzJv799194eXkhOztbjDt27Bh+/PFHuLm5ITg4GDY2NpgwYYJcMTxp0iScP38es2fPxuLFixEdHY3Ro0cjPz9fjImNjYW3tzeMjIwQGBiI4cOHY+XKldiwYYNMX8HBwVi5ciVGjBiBwMBAGBkZwcvLq8gvBkRERET0eVF42smrV69Qq1YtcfvMmTNo1aoVbGxsAAC9e/dGQEBAqRMsyrFjx1C3bl3MmzcPEokEAGBoaIjhw4fj1q1bsLOzAwCsXLkSPXr0EFddadOmDe7fv4/Vq1cjODgYAHD16lWcO3cOISEhcHZ2BgCYmJjA3d0d4eHhcHd3BwCEhISgWrVqWLp0KTQ0NODo6IikpCSsW7cOQ4cOhYaGBnJychAYGAgvLy9x7nurVq3QvXt3hISEYPbs2R/lehARERFR5aDwyLeenp74EJ3s7GxcvnwZTk5O4n5VVVWZUeiylJ+fjypVqoiFN/D6oT8AxGkgcXFxiImJgZubm8yx7u7uuHjxorhEYmRkJPT09GRyNzU1haWlJSIjI8W2yMhIdO7cGRoaGjJ9paam4urVqwBeT0tJT0+XOaeGhga6du0q0xcRERERfZ4UHvm2tbXFjh07YGpqij/++AM5OTno3LmzuD8mJkZmZLws9e3bF4cPH8b27dvRq1cvJCcnY+nSpWjatClatmwJAIiKigIAueUOzczMkJeXh7i4OJiZmSEqKgomJiYyhTzwugCX9pGZmYmnT5/C1NRULkYikSAqKgoODg5i/NtxZmZm2Lx5M7Kzs6GlpVXi1ysIAjIzM0t8XGlJJBJoa2uX+3mJqPxkZWXJ3buizPi5RqT8KuJzTRAEuVryXRQuvqdOnQovLy/4+PgAAEaOHIkvvvgCAFBQUICwsDC0a9dO0e7fy87ODgEBAZgyZQrmzJkDALC0tMT69euhqqoKAEhJSQHweoT+TdJt6f7U1FRx1PxN+vr6uHXrFoDXN2QW1ZeGhga0tbVl+tLQ0ICmpqbcOQVBQEpKikLFd15eHu7evVvi40pLW1sbTZs2LffzElH5iY6ORlZWVkWnUW74uUak/Crqc+3N2RHvo3Dx3bBhQ4SFheHRo0fQ1dVF/fr1xX1ZWVn48ccf0aRJE0W7f68rV67gf//7HwYOHIgOHTogOTkZa9aswZgxY7Bjxw6FCtxPmbq6Oho3blzu5y3uNzgiqrxMTEw+u5FvIlJuFfG59vDhw2LHluohO+rq6kUW2Lq6uujSpUtpun6vuXPnok2bNpg+fbrYZmNjgw4dOuDw4cPw8PCAvr4+gNej1kZGRmJcamoqAIj79fT08OzZM7lzpKSkiDHSkXHpCLhUbm4usrKyZPrKzc1FTk6OzOh3amoqJBKJGFdSEokEOjo6Ch1LRPQ+nIJBRMqmIj7XSvLFXuEbLoHXa3sHBQXB29sbvXv3xo0bNwAAycnJ2LhxI2JjY0vT/Ts9evRIruivXbs2qlWrhv/++w/A/827ls7DloqKioK6ujoaNGggxkVHR8t9Q4qOjhb70NHRQZ06deT6kh4njZP+GR0dLXfOunXrKt2IPBERERGVjMLF97Nnz9C7d2+sXLkSz549w71795CRkQEAMDAwwK5du7B169YyS/RNdevWxZ07d2TaHj9+jFevXqFevXoAXj/qvlGjRggLC5OJCw0NhaOjozgvx8XFBSkpKbh48aIYEx0djTt37sDFxUVsc3FxwenTp5GXlyfTl56eHmxtbQEALVu2hK6uLo4fPy7G5OXlITw8XKYvIiIiIvo8KTztZNGiRcjIyMChQ4dgaGiItm3byuzv0qULfv/999LmV6RBgwZh3rx5mDt3Ljp16oTk5GSsXbsW1atXl1nmz8fHB1OnToWxsTEcHBwQGhqKGzduYNu2bWKM9AmZM2fOxLRp06CpqYlly5bBwsIC3bp1E+O8vb1x5MgRTJkyBZ6enrh//z5CQkLg5+cnFvKampoYO3YsVq1aBUNDQ5ibm2Pnzp1ITk6Gt7f3R7kWRERERFR5KFx8nz9/HsOHD0fjxo3x6tUruf0NGjTA06dPS5XcuwwbNgwaGhrYuXMn9u/fjypVqsDGxgbLly9HtWrVxLiePXsiKysLwcHBCAoKgomJCQICAsSRaqnly5dj/vz58Pf3R35+PpydnfHDDz9ATe3/Lk/Dhg0REhKCBQsWYMyYMTA0NISvry+8vLxk+ho9ejQEQcCGDRuQlJQES0tLhISEiNNciIiIiOjzpXDxnZ2dDUNDw3ful05B+RgkEgk8PT3h6en5wdgBAwZgwIAB742pWrUq5s2bh3nz5r03rmXLltizZ88Hcxs7dizGjh37wdyIiIiI6POi8JxvMzMz/P333+/cf+rUKa6lSkRERET0BoWL7+HDhyM0NBRBQUFIT08H8PrpPrGxsfjuu+9w7do1jBgxoqzyJCIiIiKq9BSedvLVV1/hyZMnWLFiBZYvXw4AGDVqFARBgIqKCvz8/D7qWt9ERERERJVNqR6y88033+Crr75CeHg4YmNjUVhYCGNjY3Tr1o03GBIRERERvaVUxTfwes1tTi8hIiIiIvqwUhff9+/fR0REBB4/fgwAqF+/Ptq1awcLC4tSJ0dEREREpEwULr5zc3Ph7++Pw4cPi/O8AaCwsBBLlizBl19+iblz54oPoCEiIiIi+twpXHz/+uuvOHToEAYPHowhQ4bA2NgYEokEsbGx2Lp1K3bu3Al9fX18//33ZZkvEREREVGlpfBSg7/99hu++uor+Pv7w9TUFGpqalBVVYWpqSlmzZqFL7/8Er/99ltZ5kpEREREVKkpXHzn5+ejRYsW79xva2uLgoICRbsnIiIiIlI6Chffzs7OOHfu3Dv3//HHH3ByclK0eyIiIiIipaNw8T1x4kTEx8djwoQJuHjxIh4/fozHjx/jwoULGD9+PJ48eYKJEyciOTlZ5j8iIiIios+Vwjdcuru7A3i91ODp06dl9gmCAADo0aOH3HF3795V9JRERERERJWawsX3+PHjIZFIyjIXIiIiIiKlpnDx7ePjU5Z5EBEREREpPYXnfL9Lbm4uMjMzy7pbIiIiIqJKT+Hi+9ixY5g3b55MW0BAAFq2bInWrVtj/PjxyMjIKHWCRERERETKQuHie8OGDcjKyhK3r1y5goCAADg7O2P48OH4448/sG7dujJJkoiIiIhIGSg85zsuLg59+vQRt48ePYoaNWogICAAampqEAQB4eHhmDJlSpkkSkRERERU2Sk88p2bmwtNTU1x+/z583BxcYGa2ut63szMDM+ePSt9hkRERERESkLh4rt+/fq4cOECAODmzZuIjY1Fu3btxP2JiYnQ0dEpfYZEREREREpC4WknHh4e+OWXX/Dw4UMkJCSgdu3a6Nixo7j/ypUraNy4cZkkSURERESkDBQuvocOHQpNTU1ERESgefPmGDVqFLS0tAAAycnJePHiBTw9PcssUSIiIiKiyk7h4hsABg4ciIEDB8q1GxgY4MCBA6XpmoiIiIhI6ZSq+AZe33h5+/ZtJCYmomXLljA0NCyLvIiIiIiIlE6pnnC5ZcsWODs7w9PTEz4+Prh37x4AICkpCQ4ODti3b1+ZJElEREREpAwULr7379+PefPmoV27dpg3bx4EQRD3GRoaok2bNggNDS2TJImIiIiIlIHCxffGjRvRuXNnLFmyRGaVE6lmzZrhwYMHpUqOiIiIiEiZKFx8x8bGwsXF5Z37DQwMkJycrGj3RERERERKR+HiW09PD69evXrn/ocPH8LIyEjR7omIiIiIlI7CxbeLiwv27NmD1NRUuX0PHjzA3r170alTp1IlR0RERESkTBReanDSpEkYOHAgevbsiY4dO0IikeDQoUPYv38/wsPDYWRkhG+//bYscyUiIiIiqtQUHvmuVasWDhw4gHbt2uH48eMQBAGHDx/G2bNn0aNHD+zZs4drfhMRERERvaFUD9mpXr06fvnlF/zyyy9ISkpCYWEhDA0NoaJSquXDiYiIiIiUUqmfcCnFUW4iIiIiovdTqPh++fIltm3bhvPnz+O///5DRkYGqlSpgoYNG6Jdu3YYPHgwqlevXta5EhERERFVaiUuvv/8809MnDgRKSkp0NLSQqNGjaCjo4PMzEzcv38fN27cwPbt2xEQEAA7O7uPkTMRERERUaVUouI7KSkJkyZNgpqaGpYsWQJXV1eoqf1fF/n5+QgLC8O8efPg6+uLY8eOoVq1amWeNBERERFRZVSiOyP37t2L9PR0bNiwAT169JApvAFATU0NPXv2xIYNG5Camoq9e/eWabJERERERJVZiYrvc+fOoVOnTrCwsHhvXJMmTdCpUyf88ccfpUruQw4ePIjevXvDysoKDg4OGDVqFLKzs8X9Z86cQa9evWBlZQVXV1fs379fro/c3FwsXLgQTk5OsLGxwciRIxEVFSUX9+jRI4wcORI2NjZwcnLCokWLkJubKxe3d+9euLq6wsrKCr169cLZs2fL9kUTERERUaVVouI7KioKtra2xYpt2bJlkUVsWVm7di1+/vlnuLu7IyQkBHPmzEH9+vVRUFAAAPjnn38wYcIE2NjYIDg4GG5ubvj+++8RFhYm08/cuXOxd+9e+Pn5YdWqVcjNzcWIESOQlpYmxqSkpGD48OHIy8vDqlWr4Ofnhz179mDBggUyfR07dgw//vgj3NzcEBwcDBsbG0yYMAHXrl37aNeBiIiIiCqPEs35Tk1NLfYcbgMDgyIfPV8WoqKiEBAQgDVr1qB9+/Ziu6urq/j/a9euhbW1NebMmQMAaNOmDeLi4rBy5Up0794dAPDs2TPs27cPs2bNQv/+/QEAVlZW6NixI3bt2oXRo0cDAHbt2oWMjAwEBATAwMAAAFBQUICffvoJY8eORa1atQAAK1euRI8ePTBp0iTxnPfv38fq1asRHBz8Ua4FEREREVUeJRr5zsvLg6qqavE6VlFBfn6+Qkl9yIEDB1C/fn2ZwvtNubm5uHTpklhkS7m7u+PRo0eIj48H8HoaTWFhoUycgYEBnJycEBkZKbZFRkbC0dFRLLwBwM3NDYWFhTh//jwAIC4uDjExMXBzc5M758WLF4ucokJEREREn5cSLzV469YtaGpqfjDu5s2bCiVUHNevX4e5uTnWrFmDrVu3Ii0tDc2bN8eMGTPQokUL/Pfff8jLy4OpqanMcWZmZgBej5zXr18fUVFRqF69OvT19eXi9u3bJ25HRUWhX79+MjF6enowMjISp9ZI/zQxMZHrKy8vD3FxceL5S0oQBGRmZip0bGlIJBJoa2uX+3mJqPxkZWVBEISKTqPc8HONSPlVxOeaIAiQSCTFii1x8b1582Zs3ry5WLHFTaKkXrx4gVu3buH+/fuYNWsWtLW1sW7dOnh5eSE8PBwpKSkAXhfIb5JuS/enpqaiatWqcv3r6emJMdK4t/sCAH19fTGuuOdURF5eHu7evavw8YrS1tZG06ZNy/28RFR+oqOjkZWVVdFplBt+rhEpv4r6XNPQ0ChWXImK7y1btiiUTFmTjgSvWLECTZo0AQC0aNECnTp1wrZt2+Ds7FzBGZYtdXV1NG7cuNzP+7G+PBHRp8PExOSzG/kmIuVWEZ9rDx8+LHZsiYpve3v7EifzMejp6cHAwEAsvIHXc7WbNm2Khw8fokePHgAgs2IJAPEGUOk0Ez09PaSnp8v1n5qaKjMVRU9PT64v4PVotjRO+mdaWhqMjIzeeU5FSCQS6OjoKHw8EdG7cAoGESmbivhcK8kX+xLdcPmpeN8ocE5ODoyNjaGuri631KF0WzoX3NTUFC9fvpSbEhIVFSUzX9zU1FSur7S0NLx48UKmrzfP8WZf6urqaNCgQUleIhEREREpoUpZfHfs2BHJycky86BfvXqF27dvo1mzZtDQ0ICDgwNOnDghc1xoaCjMzMxQv359AICzszNUVFQQHh4uxqSkpODcuXNwcXER21xcXHDhwgWZpRPDwsKgoqICJycnAECDBg3QqFEjuXXEQ0ND4ejoWOx5QERERESkvEp8w+WnoEuXLrCysoKvry/8/PygqamJoKAgaGhoYPDgwQCAb775BsOGDcPs2bPh5uaGS5cu4ejRo1i2bJnYT+3atdG/f38sWrQIKioqqFWrFgIDA1G1alUMGjRIjBs0aBC2bt2K8ePHY+zYsUhISMCiRYswaNAgcY1vAPDx8cHUqVNhbGwMBwcHhIaG4saNG9i2bVv5XRwiIiIi+mRVyuJbRUUFQUFBmD9/Pvz9/ZGXlwc7Ozts375dnG9tZ2eHVatWYfny5di3bx/q1q2LuXPnyq3D/cMPP6BKlSpYsmQJMjIy0LJlS2zcuFFmFRR9fX1s3rwZP//8M8aPH48qVaqgf//+8PPzk+mrZ8+eyMrKQnBwMIKCgmBiYoKAgIBiPxWUiIiIiJSbRPicbnOvhKTrpVtZWVVYDjNXhCLm8asKOz8Rlb1G9aph3kT3ik6jwvBzjUj5VOTnWknqtUo555uIiIiIqDIqVfH95MkT+Pv7w9XVFfb29vj7778BAElJSZg7dy7u3LlTJkkSERERESkDhYvvhw8fok+fPjh+/Djq16+PtLQ05OfnAwAMDQ1x+fJl3mhIRERERPQGhW+4/PXXX1G1alXs2bMHANC2bVuZ/e3bt8fx48dLlx0RERERkRJReOT777//hqenJwwNDYt8qk/dunWRkJBQquSIiIiIiJSJwsW3IAjQ0tJ65/6kpCQ+WIaIiIiI6A0KF99NmzZFREREkfvy8/Nx7NgxtGjRQuHEiIiIiIiUjcLF95gxY/DHH39g1qxZePDgAQAgMTERFy5cgJeXF6KiojBmzJgyS5SIiIiIqLJT+IbL9u3bY/78+Zg3b5540+V3330HQRCgq6uLhQsXonXr1mWWKBERERFRZVeqx8v37t0b3bp1w/nz5xEbG4vCwkIYGxvD2dkZurq6ZZUjEREREZFSKFXxDQA6Ojro2rVrWeRCRERERKTUil18P3nyRKET1K1bV6HjiIiIiIiUTbGL706dOhW5nveH3L17t8THEBEREREpo2IX3/PmzZMpvgsLC7FlyxY8efIEX375JUxMTAAAUVFROHr0KOrVq4ehQ4eWfcZERERERJVUsYvvvn37ymyvXbsWOTk5CA8PR7Vq1WT2+fj4wNPTEy9fviybLImIiIiIlIDC63zv2rULHh4ecoU3ABgaGmLgwIHYuXNnqZIjIiIiIlImChffycnJyMrKeuf+rKwsJCcnK9o9EREREZHSUbj4btGiBTZv3oxbt27J7bt58ya2bt0Ka2vrUiVHRERERKRMFF7n29/fH0OHDsWAAQPQokULNGrUCAAQExOD69evQ19fHz/++GNZ5UlEREREVOkpXHw3btwYR44cQVBQECIjIxEaGgrg9brew4YNw6hRo2BkZFRmiRIRERERVXalesJljRo1MHPmTMycObOs8iEiIiIiUloKz/kmIiIiIqKSYfFNRERERFROWHwTEREREZUTFt9EREREROWExTcRERERUTlh8U1EREREVE5KtdQgADx79gx37txBWloaBEGQ29+7d+/SnoKIiIiISCkoXHzn5ORg2rRpCA8PR2FhISQSiVh8SyQSMY7FNxERERHRawpPO1m6dClOnjyJSZMmYevWrRAEAQsWLMCGDRvg4uKCJk2a4PDhw2WZKxERERFRpaZw8X3ixAn07dsXY8aMQePGjQEAtWrVQtu2bREYGIiqVati+/btZZYoEREREVFlp3DxnZiYCGtrawCAlpYWACArK0vc7+rqipMnT5YyPSIiIiIi5aFw8V2jRg28evUKAKCtrQ19fX1ER0eL+9PT05GTk1P6DImIiIiIlITCN1xaW1vjypUr4nbHjh0REhICIyMjFBYWYtOmTbCxsSmLHImIiIiIlILCxffQoUMRFhaG3NxcaGhoYOLEibh69Sr+97//AQCMjY3x/fffl1miRERERESVncLFt52dHezs7MTtOnXq4Pjx47h//z5UVFRgamoKNbVSLyNORERERKQ0yrQ6VlFRQZMmTcqySyIiIiIipVHs4vvvv/8GALRu3Vpm+0Ok8UREREREn7tiF99Dhw6FRCLB9evXoaGhIW6/iyAIkEgkuHv3bpkkSkRERERU2RW7+N6yZQsAQENDQ2b7U5CRkQE3NzckJCRg3759sLKyEvft3bsX69evx5MnT2BiYgI/Pz907NhR5vi0tDTMnz8fp06dQl5eHtq1a4cffvgBNWvWlIm7cuUKFi5ciLt376J69erw9PTE6NGjZb6ECIKA4OBg7NixA0lJSbC0tMSMGTO48gsRERERFb/4tre3f+92RVqzZg0KCgrk2o8dO4Yff/wR48aNQ5s2bRAaGooJEyZg+/btMsXwpEmT8PDhQ8yePRuamppYvnw5Ro8ejf3794s3jcbGxsLb2xtOTk6YNGkS7t27h8WLF0NVVRXe3t5iX8HBwVi5ciWmTp0KCwsLbN++HV5eXjh8+DAaNGjw0a8FEREREX26FH7Izqfi0aNH2LFjB3x8fOT2rVy5Ej169MCkSZPQpk0bzJkzB1ZWVli9erUYc/XqVZw7dw6//PIL3N3d0blzZ6xYsQL37t1DeHi4GBcSEoJq1aph6dKlcHR0xIgRI+Dl5YV169YhNzcXAJCTk4PAwEB4eXlhxIgRcHR0xNKlS2FgYICQkJCPfzGIiIiI6JNW7JHvGTNmlLhziUSCefPmlfi4kpg7dy4GDRoEExMTmfa4uDjExMTgu+++k2l3d3fHokWLxPXJIyMjoaenBycnJzHG1NQUlpaWiIyMhLu7OwAgMjISXbt2FafdSPsKDAzE1atX4eDggCtXriA9PR1ubm5ijIaGBrp27YqTJ09+jJdPRERERJVIsYvvS5cuybVlZ2cjKSkJAKCvrw8ASElJAQAYGhpCW1u7LHJ8p7CwMNy/fx+rVq3C7du3ZfZFRUUBgFxRbmZmhry8PMTFxcHMzAxRUVEwMTGRu3nU1NRU7CMzMxNPnz6FqampXIxEIkFUVBQcHBzE+LfjzMzMsHnzZmRnZ0NLS6vEr1MQBGRmZpb4uNKSSCQf/WdIRBUrKysLgiBUdBrlhp9rRMqvIj7XpAuNFEexi+8zZ87IbD98+BBeXl4YO3Yshg8fDkNDQwBAUlISNm/ejEOHDiEoKKgEaZdMVlYWFixYAD8/P+jq6srtl34J0NPTk2mXbkv3p6amomrVqnLH6+vr49atWwBe35BZVF8aGhrQ1taW6UtDQwOamppy5xQEASkpKQoV33l5eRWyaoy2tjaaNm1a7uclovITHR2NrKysik6j3PBzjUj5VdTn2puzI95H4Yfs/Pzzz3BxcYGfn59Mu6GhIfz8/JCYmIiff/4ZmzZtUvQU77V27VpUr14d/fr1+yj9f0rU1dXRuHHjcj9vcb/BEVHlZWJi8tmNfBORcquIz7WHDx8WO1bh4vv69etwdXV9535LS0scO3ZM0e7f6/Hjx9iwYQNWr14tjkpLp2VkZmYiIyNDnAaTlpYGIyMj8djU1FQA/zdNRk9PD8+ePZM7R0pKihgjHRmXnksqNzcXWVlZMn3l5uYiJydHZvQ7NTUVEolEjCspiUQCHR0dhY4lInofTsEgImVTEZ9rJflir/BqJ/r6+oiMjHzn/sjIyCKnc5SF+Ph45OXlYcyYMWjdujVat26NcePGAQCGDRuGkSNHivOupfOwpaKioqCuri4u+2dqaoro6Gi5b0jR0dFiHzo6OqhTp45cX9LjpHHSP6Ojo+XOWbduXYWmnBARERGR8lC4+Pbw8MDvv/+Ob775BhcuXEB8fDzi4+Nx/vx5jBs3DpGRkRg0aFBZ5iqytLTEli1bZP6Trsby008/YdasWWjQoAEaNWqEsLAwmWNDQ0Ph6OgozstxcXFBSkoKLl68KMZER0fjzp07cHFxEdtcXFxw+vRp5OXlyfSlp6cHW1tbAEDLli2hq6uL48ePizF5eXkIDw+X6YuIiIiIPk8KTzv59ttvkZubi5CQEPz+++8y+1RVVTFmzBh8++23pc2vSHp6enBwcChyX7NmzdCsWTMAgI+PD6ZOnQpjY2M4ODggNDQUN27cwLZt28R4W1tbODs7Y+bMmZg2bRo0NTWxbNkyWFhYoFu3bmKct7c3jhw5gilTpsDT0xP3799HSEgI/Pz8xEJeU1MTY8eOxapVq2BoaAhzc3Ps3LkTycnJMg/iISIiIqLPk8LFN/D6yZDDhg3DhQsX8OTJEwBAvXr14OjoKK5+UpF69uyJrKwsBAcHIygoCCYmJggICBBHqqWWL1+O+fPnw9/fH/n5+XB2dsYPP/wgPt0SABo2bIiQkBAsWLAAY8aMgaGhIXx9feHl5SXT1+jRoyEIAjZs2CA+Xj4kJIRPtyQiIiIiSITP6Tb3SujmzZsAACsrqwrLYeaKUMQ8flVh5yeisteoXjXMm+he0WlUGH6uESmfivxcK0m9VqqR74KCAoSFheHSpUtITEyEr68vLCwskJaWhosXL6Jly5aoUaNGaU5BRERERKQ0inXDZXp6ulxbamoqPD09MWXKFBw9ehRnzpwRn3apo6ODuXPnYsuWLWWbLRERERFRJVas4nvz5s1yhfTixYvx4MEDhISE4NSpUzJL9amqqsLV1RURERFlmy0RERERUSVWrOLb3t4eq1evxsKFC8W206dPY+jQoXBycipyYfFGjRrh8ePHZZcpEREREVElV6ziu3Xr1jhw4ACuXLkijoCnpaWhfv367zwmPz8fBQUFZZMlEREREZESKPYNl/Xq1cP27dvFZ9cbGxvj9u3b74w/f/48zMzMSp8hEREREZGSKNETLtXU1NCkSRMAQP/+/bF//36EhoaK870lEglyc3OxbNky/PHHH/Dw8Cj7jImIiIiIKimFlxocPnw4Hj58iMmTJ0NPTw8AMHXqVCQnJyM/Px8eHh4YMGBAmSVKRERERFTZKVx8SyQSzJ07F71798aJEycQGxuLwsJCGBsbw83NDa1bty7LPImIiIiIKr1SPWQHAOzs7GBnZ1cWuRARERERKbUSzfkmIiIiIiLFlWjke9y4cSXqXCKRYO3atSU6hoiIiIhIWZWo+P7999+hqamJGjVqyDzR8l2KevgOEREREdHnqkTFd61atZCQkIBq1aqhZ8+e6NGjB4yMjD5WbkRERERESqVEc74jIiKwZcsWNG3aFGvXrkWHDh0wYsQI7N+/H+np6R8rRyIiIiIipVDiGy7t7e0xZ84cnDt3DitWrICBgQF+/vlntG3bFhMmTEBYWBhyc3M/Rq5ERERERJWawqudqKuro0uXLli+fDnOnz+POXPm4OXLl/Dz80NwcHBZ5khEREREpBRKvdRgbm4uzp07h9OnT+POnTvQ1NREvXr1yiI3IiIiIiKlotBDdgoLC3H+/HkcO3YMp06dQnZ2NhwdHfHzzz+ja9eu0NHRKes8iYiIiIgqvRIV31euXMHRo0cRFhaG5ORktGjRAn5+fnBzc4OhoeHHypGIiIiISCmUqPgePHgwtLS04OLigp49e4rTS54+fYqnT58WeUyzZs1KnyURERERkRIo8bST7OxshIeH4+TJk++NEwQBEokEd+/eVTg5IiIiIiJlUqLie/78+R8rDyIiIiIipVei4rtPnz4fKw8iIiIiIqVX6qUGiYiIiIioeFh8ExERERGVExbfRERERETlhMU3EREREVE5YfFNRERERFROWHwTEREREZUTFt9EREREROWExTcRERERUTlh8U1EREREVE5YfBMRERERlRMW30RERERE5YTFNxERERFROWHxTURERERUTlh8ExERERGVExbfRERERETlpFIW38ePH8c333wDFxcX2NjY4KuvvsK+ffsgCIJM3N69e+Hq6gorKyv06tULZ8+elesrLS0NM2fOhL29PWxtbeHr64vnz5/LxV25cgUeHh6wtrZGx44dERQUJHc+QRAQFBSEDh06wNraGh4eHrh27VqZvnYiIiIiqrwqZfG9adMmaGtrY/r06Vi7di3+X3v3HlVllbhx/DkgKEdAxZCUMNGUEi3whihCYpYojo0tzUugwRiJZjrenTKtcXSsmQbvqJh2mRm7mCkwjsmYFKmZ4eh0MQNN0cAMBRENkPP7g8X5eTpYSvgeL9/PWme1zt773e/muNo87LPf9w0PD9ezzz6rpUuXWtukpaXp2WefVVRUlFatWqWgoCCNHz/eLgxPnDhRWVlZmjNnjl566SUdPnxYY8aMUUVFhbXNt99+q/j4eHl7eys5OVmjRo3SokWLtGbNGpu+Vq1apUWLFmn06NFKTk6Wt7e34uLidOzYsWv6eQAAAODGUM/RA6iN5cuXy8vLy/o+NDRUZ86c0SuvvKLExEQ5OTlp0aJFGjBggCZOnChJ6t69u77++mstXbpUq1atkiRlZ2fro48+UkpKisLCwiRJ/v7+6t+/v7Zu3ar+/ftLklJSUtSkSRP99a9/laurq0JDQ1VYWKgVK1YoJiZGrq6u+vHHH5WcnKy4uDiNHj1aktS5c2f169dPKSkpmjNnjmGfDwAAAK5PN+TK96XBu9o999yjkpISlZaW6tixYzpy5IiioqJs2vTv3187d+5UWVmZJCkzM1Oenp7q2bOntU3r1q11zz33KDMz01qWmZmpPn36yNXV1aav4uJiZWdnS6rallJSUmJzTldXV/Xt29emLwAAANy6bsiV75rs3btXPj4+cnd31969eyVVrWJfqk2bNiovL9exY8fUpk0b5ebmyt/fXyaTyaZd69atlZubK0kqLS3Vd999p9atW9u1MZlMys3NVUhIiLX9T9u1adNG69at04ULF9SgQYNa/WwWi0WlpaW1OvbXMJlMcnNzM/y8AIxz/vx5u+tXbmbMa8DNzxHzmsViscuTl3NThO9PP/1U6enpmj59uiSpqKhIkuTp6WnTrvp9dX1xcbE8PDzs+mvUqJH+97//Saq6ILOmvlxdXeXm5mbTl6urq+rXr293TovFoqKiolqH7/Lycn355Ze1OvbXcHNzU/v27Q0/LwDjHD58WOfPn3f0MAzDvAbc/Bw1r126Q+Ln3PDhOz8/X5MmTVJISIhiY2MdPZxrwsXFRXfddZfh573Sv+AA3Lj8/f1vuZVvADc3R8xr33zzzRW3vaHDd3FxscaMGaPGjRtr8eLFcnKq2sLeqFEjSVWr1t7e3jbtL6339PRUfn6+Xb9FRUXWNtUr49Ur4NXKysp0/vx5m77Kysr0448/2qx+FxcXy2QyWdvVhslkktlsrvXxAHA5bMEAcLNxxLx2NX/Y35AXXErShQsXlJCQoLNnz2r16tU220eq911X78OulpubKxcXF/n5+VnbHT582O6vo8OHD1v7MJvNat68uV1f1cdVt6v+7+HDh+3O2aJFi1pvOQEAAMDN44YM3xUVFZo4caJyc3O1evVq+fj42NT7+fmpVatW2rJli015enq6QkNDrXtywsPDVVRUpJ07d1rbHD58WF988YXCw8OtZeHh4crIyFB5eblNX56engoODpYkderUSe7u7vrXv/5lbVNeXq6tW7fa9AUAAIBb1w257WTu3Lnavn27ZsyYoZKSEpsH57Rv316urq566qmnNGXKFLVs2VIhISFKT0/X/v379frrr1vbBgcHKywsTLNmzdL06dNVv359vfzyywoICNCDDz5obRcfH6/Nmzdr8uTJGj58uL7++mulpKRo0qRJ1iBfv359JSQkaPHixfLy8lK7du30j3/8Q2fOnFF8fLxhnw0AAACuXzdk+M7KypIkLViwwK4uIyNDd9xxh6Kjo3X+/HmtWrVKK1eulL+/v5YsWWJdqa72t7/9TfPnz9fs2bNVUVGhsLAwPfPMM6pX7/8/mjvvvFMpKSlasGCBnnjiCXl5eWnChAmKi4uz6WvMmDGyWCxas2aNCgsLdc899yglJcW6zQUAAAC3NpPlVrrM/QZ04MABSVLHjh0dNoZZSek6cvy0w84PoO618m2iPz3d39HDcBjmNeDm48h57Wry2g255xsAAAC4ERG+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL4BAAAAgxC+AQAAAIMQvgEAAACDEL7rWE5Ojh5//HEFBQWpZ8+eWrhwocrKyhw9LAAAAFwH6jl6ADeToqIijRo1Sq1atdLixYtVUFCgBQsW6MKFC5o9e7ajhwcAAAAHI3zXoX/+8586d+6clixZosaNG0uSLl68qLlz5yohIUE+Pj6OHSAAAAAcim0ndSgzM1OhoaHW4C1JUVFRqqysVFZWluMGBgAAgOsCK991KDc3V4888ohNmaenp7y9vZWbm1urPsvLy2WxWLR///66GOJVM5lMGtDNWxcrmzrk/ACuDWcnJx04cEAWi8XRQzEc8xpwc3LkvFZeXi6TyXRFbQnfdai4uFienp525Y0aNVJRUVGt+qz+h7zSf9BrwdO9gcPODeDacuTc4kjMa8DNyxHzmslkInzfLIKDgx09BAAAANQR9nzXIU9PT509e9auvKioSI0aNXLAiAAAAHA9IXzXodatW9vt7T579qy+//57tW7d2kGjAgAAwPWC8F2HwsPD9fHHH6u4uNhatmXLFjk5Oalnz54OHBkAAACuBybLrXip+zVSVFSkAQMGyN/fXwkJCdaH7AwcOJCH7AAAAIDwXddycnL0wgsvKDs7Ww0bNtSgQYM0adIkubq6OnpoAAAAcDDCNwAAAGAQ9nwDAAAABiF8AwAAAAYhfAMAAAAGIXwDAAAABiF8AwAAAAYhfAMAAAAGIXwD19DixYsVEBCgXr16qbKy0q5+2LBhCggI0IwZM+zqxo4dq4CAAG3cuLHGvr/77jvNnDlTkZGR6tixo8LCwjR69Gi99957dm0PHjyoyZMnKywsTB06dFCPHj00fvx47dy509omJiZGCQkJNZ4rMTFRMTEx1vcbNmxQQECACgsLL/uzR0ZG6vnnn7c7pk+fPqqoqLBpu3btWgUEBNj1UVBQoNmzZysiIkIdOnRQeHi4nnnmGeXn51/2vAAcq3re++krOjpaUtVcU1N9QECA9u3bJ0nKy8uzlmVmZtqd480337TWXyogIEApKSl2Yxk5cqRdH/PmzVNkZKT1ffU5t2zZYi2bMWOGAgICNG3aNLvjfzovVvvvf/+rsWPHKiQkRB07dlRUVJSWLFmiCxcu/MInh1tFPUcPALjZubi46PTp09qzZ49CQkKs5cePH9e+fftkNpvtjjlz5ow+/PBDSVJqaqoefvhhm/ri4mINHTpUjRo10lNPPaUWLVooPz9fu3bt0ocffqhBgwZZ227btk2TJk1S27ZtNWnSJLVs2VKFhYXaunWr4uLi9Mknn8jDw+Pa/PA1yMvL06ZNmzR48OCfbZeTk6OYmBg1aNBA48aNU6tWrfTtt99qxYoV+s9//qPXXntNbdq0MWjUAK5GgwYNtG7dOruyap06ddL06dPtjmvbtq3Ne7PZrPT0dIWHh9uUp6amymw2q7S09IrG8+mnn2r37t02c/DVSE1N1fjx49WyZcufbZeenq6pU6eqU6dOmjt3rpo0aaLPPvtMK1euVGZmptatWyc3N7dajQE3D8I3cI25uLgoNDRUaWlpNhN/Wlqa2rZtKycn+y+g/v3vf6u8vFw9evTQzp079cMPP6hp06Y29SdPntT69evVokULa/mgQYNsVti///57TZ8+XZ07d9bKlSttnrT60EMPaciQIapXz9hpICQkRMnJyRo0aJCcnZ0v227q1KmSqla4brvtNklSt27d1Lt3b/3mN7/R1KlTtWHDBkPGDODqODk5KSgo6LL1np6eP1tfrU+fPnr//fc1d+5c1a9fX5J08uRJ7dmzR9HR0dq0adMv9mE2m3XXXXdp2bJltQrfrVq10oULF7RixQr96U9/umy7goIC/eEPf1CXLl20Zs0a6/wWEhKi4OBgjRo1SklJSTV+04lbC9tOAANER0dbA3W11NRU69ewP5Wamqo777xTM2bMUEVFhdLT023qi4qK5OTkZBPIq10a5t98802VlJRo5syZNsG7Wvfu3Q1fhUlMTNS3336rtLS0y7bZs2ePPv/8c8XGxlqDd7XbbrtNMTEx+vzzz/Xpp59e6+ECcKDw8HCZTCbt2LHDWpaenq6WLVsqMDDwivtJTEzUrl279Nlnn131GFxcXDRmzBht2rRJx48fv2y7t956S6WlpXr66aftFha6d++uHj16aP369Ww/AeEbMELv3r1VVlamrKwsSdI333yjgwcPqn///nZt8/Pzras6AQEBateunVJTU23aBAYGqrKyUlOmTFF2drbdHupqe/bsUbNmzWrcT+0o7dq1U58+fbRixYoa98FL0ieffCKp6nOrSfU+zT179lybQQL41SoqKmxeFovFWmexWOzqL168aNeHq6ur+vbtazMH/tzCxeX07t1b7du319KlS2v1swwZMkSNGzdWcnLyZdvs2bNHjRs3VqdOnWqsj4yMVGlpqT7//PNajQE3D8I3YAA3NzdFRkZaV3tTU1MVHBwsPz8/u7apqamyWCzWXy4DBw7Uvn37dPToUWub0NBQxcfHa9u2bRo2bJg6d+6suLg4bdy40eYXXEFBgc22lOvF2LFjlZOTY3Nh06UKCgok6bJjry7nwkvg+lRaWqrAwECb16VbRHbs2GFX37Fjxxr7io6O1o4dO3Tu3DkdPXpUBw4cuOrwLVXNOx999JH2799/1cfWr19f8fHx2rBhw2XnnYKCAjVv3vyyfVTXVc9vuHURvgGDREdHKyMjQxcuXFB6eroGDBhQY7vU1FQFBgaqdevWkqQBAwbIZDJp8+bNNu2mTZumrVu3aubMmQoPD9f+/fs1ffp0u6vyTSbTtfmBfoUOHTooIiJCy5cvt/ljAcDNoUGDBnr77bdtXhEREdb6zp0729W/+eabNfbVvXt3NWzYUNu2bbPOj/7+/lc9pr59+6pdu3a1Xv0eNmyYPDw8tHLlylodD1QjfAMGCQsLk4uLi5KSkpSXl6eoqCi7Njk5Ofryyy8VGRmp4uJiFRcXy8PDQx06dLDbeiJJfn5+Gj16tBYvXqwdO3aoV69e2rRpk7766itJko+Pj06cOHFF43N2dq7xa19JqqysrPMLMxMTE/X1119r27ZtdnU+Pj6SdNmxV5fffvvtdTomAHXDyclJHTt2tHk1btzYWu/h4WFX36FDhxr7cnZ2VlRUlNLS0pSWllarVW+paiHiySef1AcffFCrrR9ubm56/PHH9fbbb+vkyZN29T4+Pvruu+8ue3x1XfX8hlsX4RswiIuLix588EGtXbtW3bt3t7uQUJL1a9nFixera9eu1teBAweUm5v7s78wGjZsqBEjRkiScnNzJVXdHaSgoECHDh36xfF5eXnp1KlTNdadPHlSXl5ev9jH1QgKClLPnj21bNkyu7pu3bpJks1FVpf64IMPJEldu3at0zEBuD4NGDBAH374oXJzc2u8VuZKRUVFyd/fv8Z550qMGDFCbm5uWr16tV1d165ddebMGeu9yn/qgw8+kNlsvqoLRXFzInwDBhoyZIh69+6t2NjYGuvT0tIUFBSkV1991eaVkpIiFxcX69aTwsLCGrdrHDlyRJKswX7IkCFyd3fX/Pnzbe60Um337t06f/68pKpfHAcPHtSxY8ds2uTl5emrr766JkE3MTFRX3zxhbZv325T3rVrVwUGBmrdunV2D/IpLCzUq6++qsDAQHXp0qXOxwTg+hMcHKzo6GiNGjXqV33j5eTkpCeffFIZGRk6ePDgVR/v7u6u2NhYrV+/3m5uGjJkiMxms5KSkuwuJv/kk0/00UcfadiwYTb3O8etift8Awa69957L7vikp2drWPHjlmfjPZT999/v9LS0jRt2jS9++67eu+99zRo0CC1b99elZWVys7O1qpVqxQYGKjOnTtLkry9vfXnP/9ZEydO1PDhwzVy5Ej5+fnp9OnT2rZtmzZv3qzdu3dLqrpH+Nq1axUbG6vExETdcccdysvL07Jly+Tn52fz4J5q27dvV8OGDW3K2rZte8UPv+nSpYu6deumXbt22dW9+OKLiomJ0dChQ5WQkGB9yE5ycrIsFotefPHFKzoHgOtPcXFxjSvELVu2rPFbNpPJVGf/zw8cOFBLly7V7t275evre9XHx8bG6pVXXlF2drb1WzqpajvJvHnzNGXKFI0ePVojR460ecjOfffdpwkTJtTJz4AbG+EbuE6kpqbKzc1NDz30UI31Dz/8sN5//33t3r1bEREROnHihDZu3Khly5apsrJSLVq0UFxcnB5//HGbe8w+8MADevvtt7Vq1Sr95S9/0enTp+Xp6anOnTtrzZo11qdbms1mvf7663r55ZeVlJSk06dPq0mTJurVq5d+//vf13g/8FmzZtmVPf3000pMTLzinzsxMdF6a8FLtWnTRu+++66WLl2qJUuW6IcfflCTJk0UERGh8ePHs98buIF99tlnevTRR+3KFy5cWOMf+nXJ2dlZTzzxhJ555plaHe/h4aHHHntMy5cvt6vr37+/fH19tXz5cs2ePVulpaXy9fVVXFyc4uPjebolJEkmC7caAAAAAAzBnm8AAADAIIRvAAAAwCCEbwAAAMAghG8AAADAIIRvAAAAwCCEbwAAAMAghG8AAADAIIRvAMCvkp6erjfeeMPRwwCAGwJPuAQA1NoXX3yh5557Tm5ubvLy8lJUVJSjhwQA1zWecAkAsDp27JheeeUVZWVlKT8/X5Lk6+urkJAQPfroo7r77rutbcvLy/XII48oLi5Ofn5+mjhxot577z15eXk5avgAcN0jfAMAJEnbt2/XpEmT5OzsrIEDB+ruu++Wk5OTcnNztXXrVp04cUIZGRny9fWVJB06dEh79+7VsGHDJElbtmxR06ZN1bVrV0f+GABwXSN8AwB09OhRDRo0SM2bN9fatWvVrFkzm/qKigr9/e9/V9++fdW8eXMHjfLySktLZTabHT0MAPhFXHAJANDq1atVWlqq+fPn2wVvSapXr55iY2NtgndOTo4mTJigbt26qWPHjho8eLAyMjJsjtuwYYMCAgK0d+9ezZ8/X927d1dQUJDGjRunwsJCu/Ps2LFDI0aMUFBQkIKDg/XEE0/o0KFDNm1mzJih4OBgHT16VGPGjFFwcLCmTJkiqSqEL1iwQBEREerQoYMeeughpaSkiHUmANcLwjcAQNu3b9edd96p++6774raHzp0SI8++qhycnI0ZswYzZgxQ2azWePGjdP7779v1/6Pf/yjvvrqK40fP17Dhw/X9u3b9fzzz9u02bhxoxISEmQ2mzVlyhQlJibqm2++0YgRI5SXl2fTtqKiQvHx8WratKmmT5+uBx98UBaLRWPHjtXatWvVq1cvzZw5U/7+/lq4cKHmz59f+w8HAOoQdzsBgFtcSUmJTp48qQceeMCurri4WBUVFdb3ZrNZDRo00Lx589S8eXO98847cnV1lSSNGDFCw4cP10svvaS+ffva9NO4cWOtWbNGJpNJklRZWanXXntNZ8+elYeHh86dO6d58+ZpyJAheuGFF6zH/fa3v1W/fv2UnJxsU15WVqZ+/fpp8uTJ1rJt27Zp165dmjhxosaOHStJGjlypCZMmKBXX31Vjz32mFq2bFkHnxgA1B4r3wBwiyspKZGkGvdMx8TEKDQ01Pp64403dObMGe3atUtRUVEqKSlRYWGhCgsLdfr0aYWFhenIkSMqKCiw6Wfo0KHW4C1JXbp00cWLF3X8+HFJ0scff6zi4mINGDDA2l9hYaGcnJx03333affu3XZjGz58uM37zMxMOTs7KyYmxqY8Li5OFotFmZmZtfuAAKAOsfINALe4hg0bSqraL/1Tzz//vM6dO6dTp05p6tSpkqouzrRYLEpKSlJSUlKNff7www/y8fGxvm/RooVNvaenp6SqlXVJOnLkiCRp1KhRNfbn7u5u875evXq6/fbbbcqOHz+uZs2a2bVt06aNtR4AHI3wDQC3OA8PD3l7e9td2CjJugf80j3XlZWVkqpWlHv16lVjnz/d3uHkVPMXrdUXQlb/d+HChfL29rZr5+zsbPPe1dX1sn0CwPWM8A0A0P3336+33npL+/fv17333vuzbf38/CRJLi4u6tGjR52cv7rPpk2b1rpPX19f7dy5UyUlJTar37m5udZ6AHA0lg0AAPrd734nNzc3zZo1S6dOnbKrv/RWfU2bNlW3bt20fv16nTx50q5tTbcQ/CW9evWSu7u7kpOTVV5eXqs+w8PDdfHiRb3xxhs25WvXrpXJZFJ4ePhVjwsA6hor3wAAtWrVSi+99JImT56sfv36WZ9wabFYlJeXp9TUVDk5OVn3WT/33HMaMWKEBg4cqKFDh8rPz0+nTp3Svn37lJ+fr02bNl3V+d3d3TVnzhxNmzZNgwcPVv/+/eXl5aUTJ05ox44d6tSpk2bPnv2zfURGRiokJEQvv/yyjh8/roCAAGVlZSkjI0OjRo3iTicArguEbwCAJOmBBx7Q5s2btWbNGmVlZemdd96RyWRSixYtFBERoeHDh+vuu++WJN1111165513tGTJEr377rs6c+aMvLy81L59e40bN65W5x84cKCaNWumlStXKiUlRWVlZfLx8VGXLl00ePDgXzzeyclJy5cv16JFi5Senq4NGzbI19dX06ZNU1xcXK3GBAB1jcfLAwAAAAZhzzcAAABgEMI3AAAAYBDCNwAAAGAQwjcAAABgEMI3AAAAYBDCNwAAAGAQwjcAAABgEMI3AAAAYBDCNwAAAGAQwjcAAABgEMI3AAAAYBDCNwAAAGCQ/wMp/BQ5yxYtngAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Calcular a média das despesas por gênero\n", + "despesa_por_genero = eleicao.groupby('DS_GENERO')['VR_DESPESA_MAX_CAMPANHA'].mean().sort_values(ascending=False).reset_index()\n", + "\n", + "# Plotar um gráfico de barras\n", + "plt.figure(figsize=(8, 6))\n", + "ax = sns.barplot(x='DS_GENERO', y='VR_DESPESA_MAX_CAMPANHA', data=despesa_por_genero)\n", + "\n", + "# Adicionar rótulos às barras\n", + "for index, value in enumerate(despesa_por_genero['VR_DESPESA_MAX_CAMPANHA']):\n", + " ax.text(index, value, f\"R${value:.2f}\", ha='center', va='bottom')\n", + "\n", + "plt.title('Média de Despesas de Campanha por Gênero')\n", + "plt.xlabel('Gênero')\n", + "plt.ylabel('Média de Despesa de Campanha (R$)')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 521 + }, + "id": "wLnSvKPJfJQZ", + "outputId": "cdefd0b3-c238-40fd-d69c-fb41acef5692" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Calcular a média das despesas por gênero\n", + "despesa_por_genero = eleicao.groupby('DS_GENERO')['VR_DESPESA_MAX_CAMPANHA'].mean().sort_values(ascending=False).reset_index()\n", + "\n", + "# Criar o gráfico de pizza\n", + "plt.figure(figsize=(8, 6))\n", + "plt.pie(despesa_por_genero['VR_DESPESA_MAX_CAMPANHA'], labels=despesa_por_genero['DS_GENERO'], autopct='%1.1f%%', startangle=140, colors=sns.color_palette('pastel'))\n", + "plt.title('Distribuição das Despesas de Campanha por Gênero')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4nSwosr3f1zK" + }, + "source": [ + "Diferenca de apenas 4,8% conforme mostra o gráfico de pizza." + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "HjpVE4Bka17b", + "outputId": "296b4f0e-46e9-435f-92f9-15c8d7dfd16b" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Não há uma diferença significativa nas despesas de campanha entre gêneros.\n" + ] + } + ], + "source": [ + "# Filtrar os dados por gênero\n", + "genero_feminino = df[eleicao['DS_GENERO'] == 'Feminino']['VR_DESPESA_MAX_CAMPANHA']\n", + "genero_masculino = df[eleicao['DS_GENERO'] == 'Masculino']['VR_DESPESA_MAX_CAMPANHA']\n", + "\n", + "# Teste t para amostras independentes\n", + "t_stat, p_value = stats.ttest_ind(genero_feminino, genero_masculino, equal_var=False)\n", + "\n", + "# Resultados\n", + "f'Estatística t: {t_stat:.4f}'\n", + "f'P-Value: {p_value:.4f}'\n", + "\n", + "# Interpretação\n", + "alpha = 0.05\n", + "if p_value < alpha:\n", + " print(\"Há uma diferença significativa nas despesas de campanha entre gêneros.\")\n", + "else:\n", + " print(\"Não há uma diferença significativa nas despesas de campanha entre gêneros.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "o8glbmJYPoaI" + }, + "source": [ + "**Conclusão:**\n", + "Após analise podemos concluir que não há uma diferença significativa nas despesas de campanha entre os gêneros masculino e feminino! **HIPOTESE REFULTADA!** ❌" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Y_G0WMhSb4Vm" + }, + "source": [ + "- ***Diferença nas Despesas de Campanha por Partido***\n", + "\n", + "Hipótese: Existem diferenças significativas nas despesas de campanha entre partidos." + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 728 + }, + "id": "JMLmrNRNCQPN", + "outputId": "1c24d7cb-a8df-4475-8513-fa1968710a46" + }, + "outputs": [ + { + "data": { + "image/png": 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xCwsLatasyd27d9/4feTnZc+Ym5vLiRMncHd3p1q1ako9KysrunXrxrlz55Sv4/PP+CozcvMsW7aM5s2b4+bmpsyInDx5Mh07dgS033FaWhpJSUm4uLiQmZnJ77//rtWWkZHRnzop/dKlSzx69Ij+/ftrHe7m6emp/HnK8/PPP2NpaUm3bt2UMkNDQ3x8fMjIyCh07AshhBD/dLJEXQghhBBvxMLCgubNmxMWFsbTp0/Jzc3Fw8Mj37p37twhNTW1wJPBHz16BMC9e/cAqFGjhk5fZcuWfWlM9+7dY+nSpRw9elRnb88Xkxr53fvi0lWAmjVran2+ffs2UHDSNS/h92dkZGQoSbSkpCRSUlLYsWMHO3bsyLd+3p6I//nPfzh58iReXl5Ur14dNzc3unXrRuPGjXXuqV69utZnGxsb9PX1lX0Eb9++jUajUZI2L8o7SKdatWoMGzaMdevWERoaiouLC+3bt6dHjx5aCZZz586xbNkyoqOjdRKhqamplClThqZNm+Lh4UFAQADr16+nadOmuLu70717d63kzYteZ9zcuXOHa9euFTgWC9pfEv7va5uXfH4ZtVrNxo0b2bp1K7GxsVp7MOYtZ35elSpVtD7nvb/nlxnnlavValJTUzE3N1fKX/yawrN3kpmZSVJSEpaWljx9+pSVK1cSHBxMfHw8Go1Gqfv8nqkFxWRmZgY828f0eS/GCFC2bFmtP4ev+z7y87JnhGfbELz45xagdu3aqNVq7t+/ryybB157S4l+/frRqVMn9PT0MDMzo06dOlrj87fffmPx4sWcOnVK5++dF99xxYoVCx3bL5M39l98L4aGhloJXni2/2r16tWVJHOe2rVra7UlhBBCFEeS4BRCCCHEG+vWrRtffPEFiYmJtG7dWkl+vEitVlO+fHkWLFiQ73ULC4s/HUtubi7Dhg3jyZMnjBw5klq1amFqakp8fDz+/v4vPUDmVeUlhObNm4elpaXO9deZCZaf7Oxsbt++rSRg8uLu0aMHnp6e+d5jZ2cHPEtUhIeHc+zYMf73v/9x6NAhtm7dykcffYSvr2+h/b54YI5arUZPT4/Vq1fn+0zPnzTt7++Pp6cnERERnDhxgq+//pqVK1eyc+dOKlWqxB9//MHQoUOpVasW/v7+VK5cGUNDQ3766SfWr1+vPKOenh5Lly4lOjqaH3/8kf/9739MnTqVdevWsWPHjleeOVkYtVqNm5sbI0eOzPf6i0nS59WqVQuAa9eu4e7u/tK+VqxYwZIlS+jduzcTJkygbNmy6OvrM3v2bK3EYp4XE08vK8+vjZf56quvlFPgnZ2dKVOmDHp6evj5+b1WTC/WfZVx/7rv4+/yuqeSV69enRYtWuR7LSUlBW9vb0qXLo2vry82NjaULFmSy5cvs2DBAp2/h56f7SmEEEKINycJTiGEEEK8sffff58vv/yS6OhoFi1aVGA9GxsbfvnlFxo1alToP+jzZovdvn1ba/ZRUlKSzozMF12/fp3bt28zd+5cPvjgA6X8+ZPeC1OlShXu3LmjU37r1i2tz3lxlS9fvsAkx59x8OBBnj59SsuWLYFnyd9SpUqhVqtfqT9TU1O6dOlCly5dUKlUjB8/nhUrVvDhhx9qJXLu3Lmj9Y7v3LmDWq1WZrPZ2Nig0WioWrVqvrPhXpR32vPYsWM5f/48AwYMYNu2bfj5+XH06FFUKhVBQUFaMwILWs7v7OyMs7Mzfn5+hIaGMnnyZA4cOICXl1e+9V9n3NjY2JCRkfFGX7vGjRtTtmxZ9u/fz+jRo1+a1Dt48CCurq7Mnj1bqzwlJUVr5uXbkt/4vX37NiYmJsoPEQ4ePMgHH3yAv7+/UicrKyvf2Ztv29t4H6/yjCYmJjp/bgF+//139PX1851t+racPn2a5ORkAgICaNKkiVL+4in1L/PiDxwKkjf279y5ozUrOTs7m9jYWOrWrauUWVtbc+3aNdRqtVbiOm/Z/IuzdYUQQojiRPbgFEIIIcQbK1WqFNOnT2f8+PG0b9++wHqdO3cmNzeX5cuX61zLyclRlru2aNECQ0NDNm/erDWja8OGDS+NJe8f7M/fp9Fo2Lhx4ys9S5s2bYiOjtbavzIpKYnQ0FCteq1ataJ06dKsXLky330iC1vi/DK//vors2fPpmzZssoemQYGBnh4eHDw4EGuX79eaH+PHz/WumZkZETt2rXRaDQ6sW7ZskXr8+bNmwFo3bo1AB07dsTAwICAgACd2XUajUbpKy0tTWcvSFtbW/T19VGpVMoz5N2XJzU1lT179mjd9+TJE52+7O3tAZS28vM646Zz585ERUXxv//9T+daSkqKzrM8z8TEhJEjR3Lz5k0WLFiQ76zDffv2KWPIwMBAp84PP/xAfHx8gX38GVFRUcp+rAD3798nIiICNzc35WuQX1J206ZNWsvF/ypv43287BkNDAxwc3MjIiJCK6mYmJhIWFgYjRs3fivbSBQkv7+HVCoVW7dufa12TExMdLYByE/9+vWxsLBg+/btWn9GQkJCdO5v3bo1Dx8+5MCBA0pZTk4OmzZtwtTUVCshK4QQQhQ3MoNTCCGEEH9KQcumn9e0aVP69evHypUruXr1Km5ubhgaGnL79m3Cw8P57LPP6NSpExYWFgwfPpyVK1fy4Ycf0qZNG65cucLPP//80hletWrVwsbGhrlz5xIfH0/p0qU5ePDgKyUJAEaOHMm+ffsYOXIkgwcPxsTEhJ07d1KlShWuXbum1CtdujTTp0/nk08+oVevXnTp0gULCwvu3bvHTz/9RKNGjZg2bdpL+zt79ixZWVmo1WqSk5M5f/48R48epXTp0gQEBGgtf580aRKRkZH07dsXLy8v3nvvPZ48ecLly5f55ZdfOH36NAAjRoygQoUKNGrUiPLly/P777+zefNm2rRpo5PUiY2NZfTo0bRq1Yro6Gi+//57unXrpsz4srGx4eOPP2bhwoXExcXh7u5OqVKliI2N5ciRI/Tt25cRI0Zw6tQpZs6cSadOnahRowa5ubns27dPScwCytd79OjR9O/fn/T0dHbt2kX58uV5+PChElNISAjbtm3D3d0dGxsb0tPT2blzJ6VLl1YSr/l5nXEzYsQIjh49yujRo/H09MTBwYHMzEyuX7/OwYMHiYiIKHTLhJEjR3Ljxg3Wrl1LZGQkHh4eVKhQgcTERI4cOUJMTAzbt28HoG3btgQGBjJlyhQaNmzI9evXCQ0N1dkb8W2xtbVlxIgR+Pj4YGRkxLZt2wAYP368Uqdt27bs27eP0qVL89577xEdHc3JkydfeQ/MP+NtvI9XecaPP/6YkydPMnDgQAYOHIiBgQE7duxApVLx3//+960/1/MaNmxI2bJl8ff3x8fHBz09Pfbt2/faS/AdHBzYtm0by5cvp3r16sqexy8yNDTk448/Ztq0aQwZMoQuXboQGxtLcHCwznvt168fO3bswN/fn8uXL2Ntbc3Bgwc5f/48U6dO/UsTv0IIIcRfTRKcQgghhPhbzJw5k/r167N9+3YWLVqEgYEB1tbW9OjRg0aNGin1Pv74Y4yMjNi+fTuRkZE4OTmxdu1aPvzww0LbNzQ0ZMWKFcr+jyVLluT9999n0KBB9OzZ86XxWVlZsXHjRr7++mtWrVpFuXLl6N+/P1ZWVnz22Wdadbt3746VlRWrVq3iu+++Q6VSUbFiRVxcXF75RORNmzYpcZcpU4batWszfvx4+vbtq5Ngq1ChArt27SIwMJDDhw+zbds2ypUrx3vvvcfkyZOVev369SM0NJR169aRkZFBpUqV8PHxYezYsTr9L168mCVLlrBw4UJKlCiBt7c3n3zyiVadUaNGUaNGDdavX09gYCAAlSpVws3NTZmxa2dnR8uWLfnxxx+Jj4/HxMQEOzs7Vq9ejbOzM/As+bx06VIWL17M3LlzqVChAgMGDMDCwoKpU6cq/TVt2pSLFy9y4MABEhMTKVOmDE5OTixYsOClSbBXHTcmJiZs2rSJlStXEh4ezt69eyldujQ1atRg/PjxOidPv0hfX5958+bRoUMHdu7cydq1a0lLS8Pc3JwmTZrw3//+l4YNGwIwevRoMjMzCQ0N5cCBA9SrV4+VK1eycOHCQvt4U02aNMHZ2ZnAwEDu3bvHe++9x5w5c7SWKX/22Wfo6+sTGhpKVlYWjRo1Yt26dQXuSfo2vY338SrPWKdOHbZs2cLChQtZuXIlGo0GJycn5s+fn+9BYm+Tubk5K1asYO7cuSxevBgzMzN69OhB8+bNGTFixCu389FHH3Hv3j3WrFlDeno6TZs2LfBgrH79+pGbm8t3333HvHnzsLW1JSgoiCVLlmjVMzY2ZtOmTSxYsICQkBDS0tKoWbMmc+bM+VMnuQshhBD/BHqaotzRWwghhBBC/K2WLVtGQEAAv/zyy1s53En8M9jZ2TFo0KBXmj1cXP0bnlEIIYQQb0b24BRCCCGEEEIIIYQQQhRbkuAUQgghhBBCCCGEEEIUW5LgFEIIIYQQQgghhBBCFFuyB6cQQgghhBBCCCGEEKLYkhmcQgghhBBCCCGEEEKIYksSnEIIIYQQQgghhBBCiGJLEpxCCCGEEEIIIYQQQohiq0RRByDEq4iKikKj0WBoaFjUoQghhBBCCCGEEEK8NdnZ2ejp6dGwYcOiDqXYkhmcoljQaDTKLyFepNFoUKlUMj6EDhkbojAyPkRBZGyIwsj4EIWR8SEKImNDFEbyHX+ezOAUxYKhoSEqlYo6depgYmJS1OGIf5jMzExu3bpFzZo1ZXwILTI2RGFkfIiCyNgQhZHxIQoj40MURMaGKExMTAx6enpFHUaxpqeRFLEoBi5evAiAo6NjEUcihBBCCCGEEEKIfwK1WoO+/pslBv39/fH09MTV1fUtR/X68hKckvN4czKDUxQrgdtOEJfwpKjDEEIIIYQQQgghRBGytirLRwPcCA4OZsqUKUq5gYEB5cuXx83NDT8/PypWrPjabb/Y5ovmz59Pjx49tMoOHDjAhg0buHbtGiVKlOC9995jwoQJNG/eHID79++zZ88ejh07xp07d9DX18fW1pYxY8ZQunTpQuP5/PPP2bVrF23btmXlypVa17Kysli/fj379u0jLi4OMzMzGjZsyPjx46lTp45Sz8fHh9OnT+fbfokSJbh8+bLyuX379sTFxenU69evHzNnziw0VoCEhASWLVvGiRMnSExMxMrKig4dOjB69GjMzc216qrVarZv386OHTu4desWJiYm2NnZMXXqVOrWrfvSvpRneOWa4l/P39+fS5cuERYWpnNt1qxZREREcPToUSIjIxk8eLByzdTUlOrVq+Pt7U3v3r3/1LTruIQn3I57/Mb3CyGEEEIIIYQQ4t3j6+tL1apVUalUREdHExISwrlz5wgLC6NkyZI69XNyclCpVPm21aRJE+bNm6dTvmHDBn799VclaZln2bJlBAYG4uHhgaenJzk5OVy/fp34+HilTkREBKtXr8bd3V2ps2/fPoYNG8bYsWNp3759vrFcvHiRkJCQfJ8BYPLkyRw9ehQvLy8cHByIj49n69at9OvXj9DQUKytrQEYPXo0ffr00bo3MzOTL7/8Ejc3N5127e3tGTZsmFZZzZo1843heenp6fTv35+MjAwGDhxI5cqV+fXXX9myZQuRkZEEBwejr/9/RwJNnTqV0NBQevbsibe3NxkZGVy9epVHjx69tK/nSYJT/GXmzJlDrVq1SElJYffu3Xz22Wfk5OTQv3//og5NCCGEEEIIIYQQ75DWrVsrS7y9vLwwNzdn9erVRERE0KVLFwBSU1OZPXs24eHhZGRkEBoaiqmpKY0aNWLRokWYmZkBUK1aNapVq6bV/tOnT5kxYwbNmjXD0tJSKY+OjiYwMBB/f3+GDh1aYHyurq78+OOPWFhYKGUDBgygZ8+e7NixI98Ep0ajYdasWfTs2ZNTp07pXI+Pj+fQoUMMHz6cTz/9VCl3cXFhyJAhHD58WIkpvyTmvn37AOjevbvOtYoVK9KzZ88Cn6cgR48eJS4ujpUrV9K2bVulvGzZsgQGBvLrr79Sr1494Nms15CQEAICAnj//fdfu6/nySnq4i9Tp04dnJ2dad26NYsWLaJGjRps3ry5qMMSQgghhBBCCCHEO87FxQWAu3fvKmWzZs0iNDSUYcOG4ebmhq+vL+PHjyc9PZ3MzMxC2zt69Cjp6ek6ycANGzZQoUIFBg8ejEajIT09Pd/769Spo5XcBDAyMqJNmzY8evQo3/737dvH9evX8fPzy7fNtLQ0ACpUqKBVnpeALWjWZ56wsDBMTU3p0KFDvtdVKhUZGRmFtlFQTOXLl39pTOvXr8fJyYn3338ftVr92n09TxKc4m9hYGCAvb09sbGxRR2KEEIIIYQQQggh3nF5e0jmzcoEOHbsGJ6envj6+mJlZYWLiwvDhw9n+/btL92rMzQ0FGNjY52Zhr/88guOjo5s3LiRZs2a0ahRI1q2bPnKE7wePnxIyZIlMTIy0ipPS0tjwYIFjB49WmvG6PNsbGyoVKkS69at4+jRozx48ICYmBimT59O1apV6dq1a4H9JiUlcfLkSTp06ICpqanO9VOnTuHs7EzDhg1p3749GzZseKXnadKkCfr6+syaNYvo6GgePHjATz/9xIoVK3B3d6d27drK88XExODo6Mi3335L48aNadiwIR06dODAgQOv1NfzZIm6+NvExsZiZWVV1GEIIYQQQgghhBDiHZOWlkZSUhIqlYoLFy4QEBCAkZER7dq1U+oYGBi8dKZmfpKTk/nf//6Hu7u71oFAT5484fHjx5w/f55Tp04xbtw4KleuTHBwMF999RUlSpQodJu+O3fucPjwYVxdXTEwMNC6FhgYSMmSJQtd9m5oaMiyZcuYNGkSY8aMUcodHBzYvn27VnL3RQcOHCAnJyff5em2trY0btyYmjVrkpycTEhICLNnzyYhIYH//ve/BbYJ8N577zFz5kzmzZtHv379lHJPT0++/vpr5fMff/yBRqNh//79lChRgv/+97+UKVOGjRs3MnHiREqXLk3r1q0L7et5kuAUfxm1Wk1OTg6pqans2LGDixcv8uGHHxZ1WEIIIYQQQgghhHjHvJgItLa2Zv78+VSqVEkp69WrF6tXryY7O5u4uDgSEhJeqe2DBw+SnZ2tkwzMW1KdnJzMokWLlL0+O3XqRPfu3QkKCiowwZmZmcmECRMwNjZm0KBBWtdu3brFpk2bWLhwoc7MzheZmZlhb29Pp06daNCgAX/88QcrV65kwoQJrFu3rsBl6mFhYVhYWOS7N+eKFSu0Pvfu3ZuRI0eyfv16fHx8tN5pfipWrIiTkxOtW7fG2tqas2fPsmnTJszNzZW9Qp9/dzt37qRBgwbAsxPcO3ToQFBQkCQ4xT9D3759ld/n/dTio48+KsKIhBBCCCGEEEII8S6aNm0aNWvWJDU1lT179nDmzBmd5KCfnx/W1tbs2rWLK1euMHnyZL755huGDRvG8OHDtU73fl5oaCjlypXTSbjlJQ8NDQ3x8PBQyvX19encuTPLli3j3r17VKlSReu+3Nxc/Pz8uHHjBqtXr6ZUqVJa12fNmkXDhg212sxPamoqgwYNYsSIEQwfPlwpr1+/Pj4+PuzZs4eBAwfq3Hf37l2ioqLw9vamRImXpwb19PQYOnQox48fJzIystDDh86dO8fo0aPZsWOHcuhT3szXgIAAevfuzXvvvae8u6pVqyrJTYBSpUrRrl07QkNDycnJeaX4QPbgFK/BwMCA3NzcfK+p1WqdQTd37lx2795NeHg4UVFRzJgx46Ub3AohhBBCCCGEEEK8LicnJ1q0aIGHhwdBQUHY2toyadIkrUN/9PX16d+/P3v27KFnz55MmjQJFxcX5s+fz5o1a/Jt9969e5w9exYPDw8MDQ21rpUrV46SJUtSrlw5nSXmeYfspKSk6LT5+eefc+zYMb755huaN2+ude2XX37hf//7H4MHDyY2Nlb5lZOTw9OnT4mNjVUO8jl48CCJiYk6J7A3bdqU0qVLc/78+XyfKTQ0FMj/9PSCVK5cGXi2LL8wO3bsoHz58kpyM0/79u3RaDRERUUBKFsYvnhAEjx7d9nZ2a+1nYAkOMUrs7CwIDExMd9rCQkJOqeB1a5dG0dHR2rWrPnSKdVCCCGEEEIIIYQQb4OBgQETJ04kISGBLVu2FFivQYMGLFmyBFtbW8LDw/OtExYWhkajoUePHjrX9PX1sbe3V/b+fF7e8ndzc3Ot8rlz5xIcHMyUKVPo1q2bTpv3798HYNy4cXTo0EH5FR8fz6lTp+jQoQO7d+8G4NGjRwA6k9E0Gg1qtbrASWphYWHY2Njg7Oyc7/X85J1G/2Lu50WPHj1CrVbrlOfk5Gj9t2LFilhaWhIfH69TNyEhgZIlS+rMbC2MJDjFK2vSpAkpKSmcOXNGqzwtLY3IyEiaNGlSRJEJIYQQQgghhBBC/B9XV1ecnJzYsGEDWVlZQP6zD/OSgcbGxvm2ExYWRpUqVWjcuHG+1zt37kxubi579+5VyrKysggNDeW9997TOp19zZo1rF27ltGjRzNkyJB822vWrBmBgYE6vywsLKhfvz6BgYHKjM0aNWoA6Jw6HhERQUZGBvb29jrtX7lyhZs3b+abXIVne2K+mBjNzs5m1apVGBoa4urqqpSnpqZy8+ZNUlNTlbIaNWqQmJhIZGSkVhthYWEA1KtXTynr3Lkz9+/f58SJE0pZUlISERERNGvWrMAtA/Ije3CKV9ayZUtcXFwYN24cH330EXXq1CEhIYE1a9agr6+Pj49PUYcohBBCCCGEEEIIAcCIESOYMGECwcHBDBgwgPfff59evXrRtGlTHj16xOnTp9m0aRM3btxg+vTpOvdfv36da9euMWrUKPT09PLto3///uzevZuZM2dy69YtqlSpwr59+7h37x5BQUFKvcOHDzN//nxq1KhBrVq12Ldvn3Lt7t27yj6UVapU0dmzE2D27NlUqFABd3d3paxdu3bUqVOHwMBA7t27R4MGDbhz5w5btmzB0tKSPn366LTzsuXpR48eJSgoCA8PD6pWrcqTJ08ICwvj+vXrTJw4EUtLS61nmjJlCnPmzKFXr14ADBo0iODgYEaPHo2Pjw9VqlThzJkzhIWF4ebmprXf5ocffsgPP/zA+PHjGTZsGGXKlGHbtm3k5OQwceLEfOMriCQ4xSvT19dn5cqVLF26lHXr1pGQkEDp0qVp1qwZy5YtU/ZPEEIIIYQQQgghhChqHTt2xMbGhrVr19K3b18mT57MgQMHCAsLIzExkdOnT2NjY8OXX37JgAEDdO7PSwYWNNsRwNjYmA0bNjB//nyCg4OVmZMrV66kVatWSr1ff/0VgNu3b/PJJ5/otJNfgvVljIyM2LJlC8uXL+fYsWOEhYVRqlQp3N3d8fPz01lOrlar2b9/Pw4ODtSqVSvfNm1tbalduzbff/89SUlJGBoaYm9vz+LFi+ncufNLY6pVqxZ79uxh8eLFfP/99yQmJmJlZcXw4cPx9fXVqluhQgW2bdvG3LlzWb9+PTk5OTg7OzN//nzq1q37Wu9CT6PRaF7rDiGKwMWLFwHYdvQut+MeF3E0QgghhBBCCCGEKEo1rM2ZPaHLG9/v7++Pp6en1pLrohITE4Oenp7OwTzi1ckenEIIIYQQQgghhBBCiGJLlqiLYsXaqmxRhyCEEEIIIYQQQogi9mfzA+7u7lhbW7+laERRkwSnKFY+GuBW1CEIIYQQQgghhBDiH0Ct1qCvn//hPy/z/GE9oviTJeqi2FCpVGRmZhZ1GOIfKDMzkytXrsj4EDpkbIjCyPgQBZGxIQoj40MURsaHKIiMjb/GmyY3xbtHEpyiWJEzsUR+NBoNmZmZMj6EDhkbojAyPkRBZGyIwsj4EIWR8SEKImNDiL+WJDhFsaKnJz+dEbr09PQwMTGR8SF0yNgQhZHxIYQQQgghxLtBEpyi2DAyMsLExKSowxD/QCYmJtSrV0/Gh9AhY0MURsbHm1Gr/9zME39/fyIjI99SNEIIIYQQQsghQ6KYCdx2griEJ0UdhhBCCPGvZG1VVjnwLzg4mClTpijXDAwMKF++PG5ubvj5+VGxYsXXbv/p06fMnDmTmJgY7t+/j1qtplq1avTu3ZuBAwdiaGio1H2x/+cdP34cS0tLACIjIxk8eHCBfX788ceMGTNG+ZySksKcOXM4fPgw2dnZODk54e/vj4ODg9Z9Bw4c4OjRo8TExHDnzh2aNm3Kpk2bCuzn8uXLLFu2jPPnz5OVlUW1atXo27evTmwqlYq1a9eyd+9e4uLiKFOmDPXr12fmzJlUqlSp4JcH2NnZ5Vs+adIkRo0apVV28uRJgoKCuH79Orm5udSoUQNvb28++OCDQvsQQgghhPgnkgSnKFbiEp5wO+5xUYchhBBCiP/P19eXqlWrolKpiI6OJiQkhHPnzhEWFkbJkiV16ufk5KBSqfJt6+nTp9y4cYPWrVtjbW2Nvr4+UVFRzJkzh5iYGBYuXFhg/88zMzNTfl+7dm3mzZunc9/333/P8ePHcXNzU8rUajWjRo3i119/pUuXLtSpU4fdu3fj4+NDcHAwNWrUUOpu27aNS5cu4ejoSHJycqHv6Pjx44wePZp69eoxduxYTE1N+eOPP3jw4IFWvezsbD788EOioqLw8vLCzs6OlJQULly4QGpq6ksTnABubm707NlTq6xevXpanyMiIvjoo49wdnZm/Pjx6Onp8cMPP/Dpp5+SnJzM0KFDX9qPEEIIIcQ/iSQ433HLli0jICBA+Wxubo6trS2+vr64uLgAEB0dTUBAAFevXiU1NZUKFSpQv359RowYQYMGDQqcDfC8OXPmYG1tzeDBg9m9ezeOjo5a169evcoHH3zAxo0bcXV1fbsPKYQQQogi07p1a+X/+15eXpibm7N69WoiIiLo0qULAKmpqcyePZvw8HAyMjIIDQ3F1NSURo0asWjRIiUhWa5cOXbu3KnV/oABAyhTpgybN2/G399fmZmZX//5qVChgk7CDyAwMJAaNWrg5OSklIWHhxMVFcW8efOoWrUq9vb29OzZEw8PD5YtW6aVYJ03bx4VK1ZEX1+fbt26Fdh/Wloan376KW3btmXp0qXo6xe8Q9T69es5c+YMW7du1YrrddSoUSPf533eli1bsLS0ZOPGjRgZGQHQr18/OnfuTHBwsCQ4hRBCCFHsSILzX8DY2JgNGzYA8ODBA5YvX87QoUMJDg4mNTWVwYMH06pVK2bMmEGpUqW4c+cOR44cISYmhgYNGrBjxw6t9vr164ePj4/WN/M2Njb89ttvf+tzCSGEEOKfx8XFhdWrV3P37l2lbNasWYSFhTFq1Ciio6Np3LgxJiYmHDp0iMzMTK0Zl/mxtrYGni0ffzHBCc+SiCYmJhgYGLxSjHnLysePH69VfvDgQSpUqECHDh24du0aABYWFnTu3Jnvv/8elUqlJAQrV678Sn2FhoaSmJiIn58f+vr6ZGRkYGxsrJPoVKvVbNy4EXd3d5ycnMjJySE7O/uN9oh9+vQpenp6+c6ghWfvq2zZssqzAJQoUQJzc/PX7ksIIYQQ4p9AEpz/Avr6+jg7OyufnZycaN++Pdu3byclJQVra2sCAwOVfxQ0b96c/v37o1arAbTuzVO5cuV8y4UQQgjx7xYXFwdoLxM/duwYnp6e+Pr64u/vj4uLC66urgwfPjzfNlQqFWlpaWRlZXHp0iXWrl2LtbU11atX16k7ePBgMjIyMDQ0pGXLlvj7+2stJc/P999/D0D37t21yq9evUq9evV0ko+Ojo7s2LGDW7duvdLKluf98ssvlC5dmvj4eMaOHcvt27cxNTWlR48eTJ06VUlC3rhxg4SEBOzs7Pjiiy8ICQkhOzsbW1tbPvvsM5o1a/ZK/YWEhLB161Y0Gg21a9dmzJgxOs/ZtGlTVq9ezeLFi/H09ERPT4/Q0FAuXbrE4sWLX+v5hBBCCCH+CSTB+S9UpUoVLCwsiI2NBZ7NTMhvxkNhS6iEEEIIIeDZbMCkpCRUKhUXLlwgICAAIyMj2rVrp9QxMDAgMzPzlds8fPgwEydOVD7Xr1+f2bNnU6LE/33ramxsTK9evXB1daV06dJcunSJ9evX079/f0JCQgqcYZmbm8sPP/yAk5OTTsL04cOHyhY+z7OysgJQEpCv4/bt2+Tm5jJ27Fj69OnDpEmTOH36NJs2bSI1NZVvv/0WgDt37gDPlqmXK1eOmTNnArBy5UpGjhzJ7t27qVu3bqF9NWzYkM6dO1O1alUSEhLYunUrkydPJjU1lYEDByr1xo4dS2xsLCtWrCAoKAgAExMTli5diru7+2s9nxBCCCHEP4EkOP+F0tLSSE5OxsrKCktLS5YvX87ixYvp3r07tWvXLurwhBBCCFGMvLhfo7W1NfPnz9c6EKdXr16sXr2a7Oxs4uLiSEhIKLRNV1dX1q1bR0pKCr/88gvXrl3TSZB26dJF2eMTwN3dnZYtW+Lt7U1QUJCSIHzRL7/8QmJiIh9++KHOtadPn2ot286TV5aVlVVo3PnJyMggMzOT/v378/nnnwPQsWNHVCoVO3bswNfXlxo1apCeng5Aeno6e/fuVRK0zZo1o2PHjqxZs4YFCxYU2tf27du1Pvfu3ZvevXuzaNEievXqhbGxsfI8NWrUwMPDg44dO5Kbm8vOnTv573//y7p162SVjhBCCCGKHZmi9y+Rk5NDTk4OsbGxTJkyhdzcXDw8PBgxYgRubm4EBQXRpUsXXF1dmTRpEmfPni3qkIUQQghRDEybNo1169axdOlS2rRpw+PHj3WShH5+fkyfPp3Y2FguX77M5MmTcXNzY82aNcqWOM+rUKECLVq0oFOnTsyYMYO2bdsybNgwHj58WGgsLi4uNGjQgF9++aXAOqGhoRgYGGglR/MYGxvne8J7XllBe1oWJi+p+OJBRHnLxqOjo7XqNWrUSGv2aZUqVWjUqBFRUVGv3beRkRGDBg0iJSWFS5cuKeUzZ87kxx9/ZNGiRXTt2pUePXqwbt06rKysmDVr1mv3I4QQQghR1CTB+S+QkZGBg4MDDg4OdOjQgcjISKZNm0arVq0oXbo0a9euZdeuXXz00UfUrVuXgwcP4u3tza5du4o6dCGEEEL8wzk5OdGiRQs8PDwICgrC1taWSZMmKTMS4dm2N/3792fPnj307NmTSZMm4eLiwvz581mzZs1L+/Dw8CAjI4OIiIiX1q1UqRJPnjzJ99rTp085fPgwzZs3p0KFCjrXLS0t802i5s04zVuq/jry7ilfvrxWuYWFBYASa169/OIqX748KSkpr903/N9hSHn9qFQq9uzZQ9u2bbW2IzI0NKRVq1ZcunQp3ySvEEIIIcQ/mSQ4/wWMjY3ZvXs3e/bs4ejRo5w6dYpBgwZp1XFycsLX15cNGzbwww8/UKlSpZcug3pR3j6e+c3EyM3NBdDaO0sIIYQQ7xYDAwMmTpxIQkICW7ZsKbBegwYNWLJkCba2toSHh7+03byl4ampqS+te/fu3QJPAz969Cjp6ek6h+7kqVu3LleuXNH5XiYmJgYTExNq1qz50v5f5ODgAEB8fLxWeV7SNC/RaWtri6GhoU69vLp59V5X3mn2efcnJyeTk5OjfG/2vJycHNRqdb7fywkhhBBC/JNJgvNfQF9fH0dHR+rXr4+1tfVLDw+qVq0anTp1Ijk5mcTExFfuJ+8b58JmPrw4e0EIIYQQ7xZXV1ecnJzYsGGDkpjMb0alRqNBrVYrS7MBkpKS0Gg0OnXzVpXUr19fq+6LfvrpJy5fvkyrVq3yjS00NBQTExPef//9fK936tSJxMRErZmiSUlJhIeH065du3z353yZzp07A7B7926t8t27d1OiRAmaNm0KQOnSpWndujVRUVHcvHlTqXfz5k2ioqJo0aKFUpaZmcnNmze13kF+7yMtLY0NGzZgbm6uJFrLly+PmZkZhw8f1pqpmZ6ezo8//kitWrW0viZCCCGEEMWBTKf7l0tMTMx3KdTt27cxMjLCzMzslduqUaMGlpaWRERE6JzAeeTIESwtLXVOKxVCCCHEu2fEiBFMmDCB4OBgBgwYwPvvv0+vXr1o2rQpjx49Uk4Rv3HjBtOnT1fu+/7779m+fTvu7u5Uq1aN9PR0jh8/zokTJ2jXrh3NmzdX6vbv3x97e3vq169PmTJluHLlCnv27KFy5cqMHj1aJ6bk5GT+97//0bFjR0qVKpVv3B4eHjg7OzN9+nS6dOlCnTp12L17N7m5uYwfP16r7pkzZzhz5gzwLLmYkZHB8uXLAWjSpAlNmjQBoF69evTu3Zs9e/aQm5tLkyZNOH36NOHh4Xz44YdUrFhRaXPixIn88ssvDBkyhMGDBwOwceNGypYtq/VMMTExDB48mHHjxilxbdmyhSNHjtCuXTuqVKlCQkICwcHB3Lt3j3nz5inJWQMDA4YPH87ixYvp168fPXv2RK1Ws3v3bh48eMD8+fNf7YsshBBCCPEPIgnOf7nPP/+c3NxcOnbsSI0aNUhLS+PgwYP8+OOPDBky5LVmKujr6+Pr68sXX3yBgYEBHTp0ACAiIoI9e/bw9ddfo6en91c9ihBCCCH+ITp27IiNjQ1r166lb9++TJ48mQMHDhAWFkZiYiKnT5/GxsaGL7/8kgEDBij3NW7cmKioKPbv309iYiIlSpSgZs2aTJkyBW9vb60+OnfuzE8//cSJEyd4+vQplpaWeHl5MW7cuHx/eBseHk52drbOYT/PMzAwYNWqVcyePZvw8HDCwsJwcnJizpw51KpVS6vuqVOnCAgI0CpbsmQJAOPGjVMSnAAzZsygSpUqBAcHc+TIEapUqcKUKVN0TqB/77332Lx5MwsWLCAoKAg9PT2aNWvGJ598opUIzU/eQUS7d+8mOTkZExMTnJycmDVrllZiGGDMmDFUrVqVjRs3EhgYiEqlws7OjqVLl+Lh4VFoP0IIIYQQ/0R6mvzWAYl3xrJly1i7dm2BJ2/+73//Y+/evVy4cIGHDx9ibGyMjY0N/fr1w9PTU9lX83l2dnZ88sknjBgxIt829+/fz7p16/jtt9+AZ9+sDxs2rNB/ULzMxYsXAdh29C634x6/cTtCCCGEeHM1rM2ZPUH39PHX4e/vj6enJ66urm8pqrcvIyODq1evYm9vj6mpaVGHI/5hZHyIwsj4EAWRsSEKExMTg56eHo6OjkUdSrElMzjfcePHj9dZUvW8Vq1aFbhPVUGuXbtW6PWuXbvStWvX12pTCCGEEEIIIYQQQog3IQlOUaxYW5Ut6hCEEEKIf6238f9hd3d3rK2t30I0QgghhBBCPCMJTlGsfDTArahDEEIIIf7V1GoN+vpvvqf2iwcRCiGEEEII8WfpF3UAQrwqlUpFZmZmUYch/oEyMzO5cuWKjA+hQ8aGKIyMjzfzZ5KbQgghhBBC/BUkwSmKFTkTS+RHo9GQmZkp40PokLEhCiPjQwghhBBCiHeDJDhFsaKnJ7NGhC49PT1MTExkfAgdMjZEYWR8CCGEEEII8W6QBKcoNoyMjDAxMSnqMMQ/kImJCfXq1ZPxIXTI2BCFKWx8qNV/blanv78/kZGRf6oNIYQQQgghxKuRQ4ZEsRK47QRxCU+KOgwhhBDvMGurssqhdsHBwUyZMkW5ZmBgQPny5XFzc8PPz4+KFSu+dvtPnz5l5syZxMTEcP/+fdRqNdWqVaN3794MHDgQQ0NDrfopKSnMnz+fw4cP8/TpUxwdHfH398fBwaHAPv744w+6du2KSqVi9+7dODo66tQ5efIkK1as4PLly6jVamrWrMnIkSPp0qWLUicrK4v169ezb98+4uLiMDMzo2HDhowfP546depotXfixAkCAgK4cuUKRkZGNG/enE8++YSqVatq1UtPT2fx4sUcPHiQpKQkqlWrho+PDwMHDnyl9xcUFMSFCxeIiYnh0aNHjBs3jvHjx+vUa9++PXFxcfm2Ub16dQ4dOvRK/QkhhBBCiH8+SXCKYiUu4Qm34x4XdRhCCCH+ZXx9falatSoqlYro6GhCQkI4d+4cYWFhlCxZUqd+Tk4OKpUq37aePn3KjRs3aN26NdbW1ujr6xMVFcWcOXOIiYlh4cKFSl21Ws2oUaO4du0aI0aMwNzcnK1bt+Lj40NwcDA1atTIt4/Zs2dTokSJAmPYs2cPn332GW5ubkycOBF9fX1u3brF/fv3tepNnjyZo0eP4uXlhYODA/Hx8WzdupV+/foRGhqKtbU1AD/++CNjx46lXr16TJo0ibS0NDZu3MjAgQPZu3cvFhYWAOTm5jJixAguXbrEoEGDqF69OsePH2fGjBmkpKQwevTol34tFi9ejKWlJfb29hw/frzAelOnTiU9PV2r7N69eyxevBg3N7eX9iOEEEIIIYoPSXD+yy1btoyAgADls7m5Oba2tvj6+uLi4qKUX7t2jVWrVhEZGUlycjJmZmY0atSIQYMG0bx5c6Vebm4u27ZtY8+ePfz++++UKFGC+vXrM3z4cNq0afO3PpsQQgjxtrRu3VqZBenl5YW5uTmrV68mIiJCmfGYmprK7NmzCQ8PJyMjg9DQUExNTWnUqBGLFi3CzMwMgHLlyrFz506t9gcMGECZMmXYvHkz/v7+WFpaAhAeHk5UVBRLliyhU6dOAHTu3BkPDw+WLVumlQzN87///Y/jx48zcuRIgoKCdK7HxsYyc+ZMvL29+fzzzwt85vj4eA4dOsTw4cP59NNPlXIXFxeGDBnC4cOHGTp0KAALFiygWrVqbNu2DSMjI+DZDEpPT09WrVqFv78/AIcOHSIqKopZs2bRp08fAAYOHIivry/Lly/Hy8uL8uXLF/q1iIiIoGrVqiQlJWl9D/Iid3d3nbLly5cD0L1790L7EEIIIYQQxYvswSkwNjZmx44d7Nixg+nTp5OcnMzQoUO5fv06AEeOHKFPnz7cunULPz8/1q1bx5dffknJkiUZPnw4qampwLNZJuPHj+ebb76hWbNmrFixgvnz52NmZsaoUaNYu3ZtUT6mEEII8dbk/RDw7t27StmsWbMIDQ1l2LBhuLm54evry/jx40lPTyczM/OlbebNhkxJSVHKDh48SIUKFejYsaNSZmFhQefOnYmIiNCZoZmdnc2sWbMYPHgwNjY2+fazfft2cnNzmTBhAvBsyXh+J8mnpaUBUKFCBa3yvORr3szV5ORkbty4gbu7u5LcBKhbty61a9dm//79Stm5c+cA6Nq1q1abXbp0ISsri4iIiHxjft6LS95fR1hYGFWrVqVRo0Zv3IYQQgghhPjnkRmcAn19fZydnZXPTk5OtG/fnu3btzNmzBg+/fRTGjduzKpVq7T+4eLh4YGXlxclSjwbRps3byYiIoI5c+bQq1cvpV779u359NNPWbBgAc2bN8fe3v5vezYhhBDir5C3t2PerEyAY8eO4enpia+vL/7+/ri4uODq6srw4cPzbUOlUpGWlkZWVhaXLl1i7dq1WFtbU716daXO1atXqVevHvr62j+TdnR0ZMeOHdy6dQs7OzulfMOGDaSkpDB27NgC95g8efIktWrV4qeffmLevHnEx8dTtmxZZSZlXl82NjZUqlSJdevWUbNmTerVq0dCQgLz58+natWqSpIyL8lqbGys05exsTG//fYbDx8+xNLSEpVKhYGBgc4+o3kHPV26dIm+ffvmG/efdeXKFW7evPlKy+CFEEIIIUTxIjM4hY4qVapgYWFBbGwsO3fuJC0tjSlTpmglN/M0a9ZM+UfJhg0bqFmzJh988IFOPV9fX/T09Ni0adNfHb4QQgjx1qWlpZGUlMSDBw84ePAgAQEBGBkZ0a5dO6WOgYHBK83UzHP48GGaN29O27ZtGTduHBUrViQoKEj5wSGgJAZfZGVlBUBCQoJW3eXLlzNhwgRKly5dYL937tzhwYMHTJkyhd69e7N06VJatWpFUFAQixYtUuoZGhqybNkyTExMGDNmDG3atMHLy4v09HS2b9+uJHcrVKiAmZkZ58+f1+rn8ePH3Lx5E3i23B2gZs2a5ObmEh0drVX37NmzOs/ztoWGhgLQo0ePv6wPIYQQQghRNGQGp9CRlpZGcnIyVlZWnDlzBisrK63ZIfm5f/8+sbGxDBs2TGeWCTxbdmdnZ6f8A0YIIYQoTvL2msxjbW3N/PnzqVSpklLWq1cvVq9eTXZ2NnFxcS9N1rm6urJu3TpSUlL45ZdfuHbtmk6C9OnTp/n+gDGvLCsrSynL2wfTy8ur0H4zMjJQq9VMmjSJUaNGAc9WZTx58oSNGzfy4YcfKglSMzMz7O3t6dSpEw0aNOCPP/5g5cqVTJgwgXXr1lGyZEn09fXp168fq1evZuHChfTu3Zu0tDTmz59Pdna28hwA3bp1IzAwkM8++4xp06ZRvXp1Tpw4wdatW7XqvW1qtZr9+/dTr149ateu/Zf0IYQQQgghio7M4BTAs9Nec3JyiI2NZcqUKeTm5uLh4UF8fDxVqlR56f15MzMqV65cYJ3KlSvz4MGDtxazEEII8XeZNm0a69atY+nSpbRp04bHjx/rJB79/PyYPn06sbGxXL58mcmTJ+Pm5saaNWtQq9U6bVaoUIEWLVrQqVMnZsyYQdu2bRk2bBgPHz5U6hgbG+d7EnpeWd4+mNHR0ezbt48pU6bk+4PG5+UtJe/WrZtWebdu3Xj69ClXr14Fnh2aNGjQIJydnZk0aRLu7u4MHz6cZcuWce7cOfbs2aPc6+vrS58+fVizZg0eHh707t2bEiVK0Lt3bwBKlSoFPNu/MygoCJVKxfDhw+nQoQPz5s3jiy++AMDU1LTQ2N/U6dOniY+Pl8OFhBBCCCHeUTKDU5CRkYGDg4PyuWzZskybNo1WrVoBoKenV1ShCSGEEP8ITk5Oyinq7u7uDBw4kEmTJhEeHq4k7/T19enfvz/9+/fH39+fWrVqcfnyZebPn49arVZmSxbEw8ODRYsWERERQf/+/YFnCcHnE5558maH5i1Vnz9/Pi4uLlStWpXY2Fjg2RJxeLZ0/d69e8oPLK2srLh9+7bO4UEWFhYAPHnyBHh2wFFiYiLt27fXqte0aVNKly7N+fPnGThwIPBsRumsWbPw8/Pj9u3blC9fnpo1azJp0iT09fW1Djxq0qQJR44c4fr162RkZFC3bl3leWrUqFHoO3pToaGh6Ovr6xxuJIQQQggh3g2S4BQYGxuzefNm9PT0MDc3p3Llysrsj4oVK/L777+/tI2KFSsCz5aqF+T+/ftaS/mEEEKI4sjAwICJEycyePBgtmzZUmDiskGDBowaNYru3bsTHh7+0gRn3nLz1NRUpaxu3bqcO3cOtVqtNTMzJiYGExMTatasCTz7f2xcXBwdOnTQaXfMmDGUKVNG2SbGwcGB27dvEx8fT7Vq1ZR6eUnGvETno0ePAMjNzdVqT6PRoFardcrh2azUvMRpbm4ukZGRNGjQQEkC5zEwMNA6dPDkyZMAtGjRouAX9IZUKhWHDh2iadOmyvcrQgghhBDi3SJL1AX6+vo4OjpSv359rK2ttf4B1bRpU+Lj4/ntt98KbaNy5cpUrVqVn3/+GY1Go3P93r17XLt2DRcXl7cevxBCCPF3c3V1xcnJiQ0bNiiJybyZj8/LSwY+f8J4UlJSvv+v3LVrFwD169dXyjp16kRiYqLWiehJSUmEh4fTrl07ZZn8zJkzCQwM1Prl4+MDwKeffsqCBQuU+7t06QLA7t27lTK1Wk1wcDDlypVT+s+bTXngwAGtOCMiIsjIyNBKUObnu+++4+HDhwwbNqzQeklJSaxZswY7OzutBGdqaio3b97USvi+iZ9++omUlBRZni6EEEII8Q6TGZyiUF5eXnz33XfMmTOHlStXYmhoqHU9MjISJycnTExMGDJkCLNmzWLfvn06J6kvW7YMjUaj/GNLCCGEKO5GjBjBhAkTCA4OZsCAAbz//vv06tWLpk2b8ujRI06fPs2mTZu4ceMG06dPV+77/vvv2b59O+7u7lSrVo309HSOHz/OiRMnaNeuHc2bN1fqenh44OzszJQpU7hx4wbm5uZs27aN3Nxcxo8fr9Rr2bKlTnwpKSnAsyXhecvrATp06EDz5s1ZuXIljx8/xs7OjoiICM6dO8fMmTOVpGm7du2oU6cOgYGB3Lt3jwYNGnDnzh22bNmCpaUlffr0Udrct28fhw4dokmTJpiamnLy5El++OEHvLy88PDw0IrL29sbZ2dnqlevzsOHD9m5cycZGRmsWLFC64eshw8fZsqUKcyZM4devXop5Xv37uXevXvKgURnzpxh+fLlAPTs2RNra2ut/kJDQzEyMtKJQwghhBBCvDskwSkKZWlpydy5c/n4448ZMGAAgwYNolq1ajx+/JgjR44QGhpKZGQk8OwfLKdOneLzzz/n2rVrtG7dmqysLIKDgzl48CCffvrpS2d7CCGEEMVFx44dsbGxYe3atfTt25fJkydz4MABwsLCSExM5PTp09jY2PDll18yYMAA5b7GjRsTFRXF/v37SUxMpESJEtSsWZMpU6bg7e2t1YeBgQGrVq1i3rx5bNq0iaysLBwdHZkzZw61atV6o7j19PQIDAxk8eLF/PDDDwQHB1OzZk3mz59Pjx49lHpGRkZs2bKF5cuXc+zYMcLCwihVqhTu7u74+fkpS9kBatasyZMnT1i+fDlPnz6lZs2azJgxg379+un07+DgQHh4OPHx8ZQuXZoWLVrw8ccfay2XL8yePXs4ffq08jkyMlL5XqRx48ZaCc60tDSOHTtG27ZtKVOmzGu/KyGEEEIIUTzoafJbIyX+NZYtW8batWuJiooqtN6vv/7K6tWriYyM5PHjx5iZmdG4cWO8vb1p1qyZUi83N5etW7eyZ88ebt26RYkSJXBwcGDEiBG0adPmjeO8ePEiANuO3uV23OM3bkcIIYR4mRrW5sye0OVPteHv74+npyeurq5vKSrxd8rIyODq1avY29v/ZSe7i+JLxocojIwPURAZG6IwMTEx6Onpaa26Ea9HZnD+y40fP15riVtB6taty8KFC19az8DAAB8fH1mKLoQQQgghhBBCCCH+FpLgFMWKtVXZog5BCCHEO+5t/L/G3d1dZy9IIYQQQgghxF9DEpyiWPlogFtRhyCEEOJfQK3WoK+v98b3u7u7v8VohBBCCCGEEIXRf3kVIf4ZVCoVmZmZRR2G+AfKzMzkypUrMj6EDhkbojCFjY8/k9wUQgghhBBC/L0kwSmKFTkTS+RHo9GQmZkp40PokLEhCiPjQwghhBBCiHeDJDiFEEIIIYQQQgghhBDFliQ4RbGipydLBoUuPT09TExMZHwIIYQQQgghhBD/QpLgFMWGkZERJiYmRR2G+AcyMTGhXr16bzw+1Oo3X57q7+9PZGTkG98vhBBCCCGEEEKIP0dOURfFSuC2E8QlPCnqMMQ7xNqqLB8NcCM4OJgpU6Yo5QYGBpQvXx43Nzf8/PyoWLHiG7W/detWTp06RUxMDPfv38fT05NvvvlGp15CQgIbN27kwoULXLp0iYyMDDZu3Iirq2u+7Z4/f5758+dz5coVSpcuTefOnfHz86NUqVJa9S5dusSiRYuIiopCo9HQsGFD/vvf/2Jvb69Vz8fHh9OnT+v007JlS7777rsCny8oKIjFixdTp04dwsLCtK4dP36cAwcOEBMTw82bN6lcuTJHjx4tsK0XHThwgKNHjxITE8OdO3do2rQpmzZt0qmXnp7Od999x4ULF7h48SJPnjxhzpw59OrV65X7EkIIIYQQQghRfEmCU7Bs2TICAgKUz+bm5tja2uLr64uLi4tSfu3aNVatWkVkZCTJycmYmZnRqFEjBg0aRPPmzYFns9lCQkKUe0xMTLCxscHHxwcvL68/HWtcwhNuxz3+0+0IURBfX1+qVq2KSqUiOjqakJAQzp07R1hYGCVLltSpn5OTg0qlKrC9NWvWkJ6ejqOjIw8fPiyw3q1bt1i9ejU1atTAzs6OqKioAutevXqVoUOHUrt2bfz9/Xnw4AFr167l9u3brFmzRql3+fJlBg4cSOXKlRk3bhxqtZqtW7fi7e3Nrl27qFWrlla7lSpVYuLEiVplVlZWBcbx4MEDVq5ciampab7Xw8LCOHDgAPXq1Su0nYJs27aNS5cu4ejoSHJycoH1Hj9+TGBgIFWqVMHOzi7fRK0QQgghhBBCiHeXJDgFAMbGxmzYsAF4lrRYvnw5Q4cOJTg4GFtbW44cOYKfnx916tTBz88PGxsbkpKSOHToEMOHD+f06dOUKVMGgGrVqrFgwQLg2cyqw4cP8/nnn2NqakrXrl2L7BmFeBWtW7fG0dERAC8vL8zNzVm9ejURERF06dIFgNTUVGbPnk14eDgZGRmEhoZiampKo0aNWLRoEWZmZkp7mzZtokqVKujp6dGwYcMC+3VwcCAyMpJy5coRHh5eaILz22+/xczMjE2bNlG6dGkAqlatyueff87x48dp2bIlAEuWLMHY2Jjt27djbm4OQI8ePfDw8GDRokUsW7ZMq90yZcrQs2fPV35Xc+fOpUGDBqjVah4/1v3Bg5+fH1999RWGhoZ8+OGH/Pbbb6/cNsC8efOoWLEi+vr6dOvWrcB6VlZWHD9+HEtLSy5evEifPn1eqx8hhBBCCCGEEMWbJDgFAPr6+jg7OyufnZycaN++Pdu3b2fMmDF8+umnNG7cmFWrVmFkZKTU8/DwwMvLixIl/m8oGRsba7Xl5uZGdHQ0hw4dkgSnKHZcXFxYvXo1d+/eVcpmzZpFWFgYo0aNIjo6msaNG2NiYsKhQ4fIzMzUSnBaW1u/Uj95icqXSUtL4+TJkwwZMkTrnp49ezJ79mx++OEHJcF59uxZWrVqpSQ34VkysGnTpvz444+kp6frLGnPyckhKytLp/xFZ86c4eDBg4SEhPD111/nW+dNl/XnqVy58ivVMzIywtLS8k/1JYQQQgghhBCi+JJDhkS+qlSpgoWFBbGxsezcuZO0tDSmTJmildzM06xZs5ce7lKqVClycnL+qnCF+MvExcUBaCUtjx07hqenJ76+vlhZWeHi4sLw4cPZvn37n07qvcy1a9fIycmhfv36WuVGRkbY29tz9epVpUylUmFsbKzThrGxMdnZ2TozKm/fvo2zszONGjXCzc2NxYsXk52drXN/bm4uX331FX369MHOzu4tPZkQQgghhBBCCPFmZAanyFdaWhrJyclYWVlx5swZrKysXiuRkZfMzMjI4NChQ5w/f565c+f+VeEK8dakpaWRlJSESqXiwoULBAQEYGRkRLt27ZQ6BgYGZGZmFkl8eft45renpaWlJefOnVM+16xZk+joaHJzczEwMACeJT1jYmIAiI+PV+pWq1YNV1dXbG1tycjI4ODBgwQFBXH79m0WL16s1c/27du5d+8e69evf8tPJ4QQQgghhBBCvD5JcApFXlLywYMHzJ07l9zcXDw8PJg9ezZVqlR55XZ+++03HBwctMqGDx9Ojx493mq8QvwVhg4dqvXZ2tqa+fPnU6lSJaWsV69erF69muzsbOLi4khISPjb4nv69ClAvrOpS5YsqVwHGDhwINOnT+ezzz5j5MiRqNVqgoKClCTp83Vnz56t1dYHH3zAF198wc6dOxk6dKiy7cTjx49ZunQpY8eOxcLC4m0/nhBCCCGEEEII8dokwSmAZzMtn09Kli1blmnTptGqVSsA9PT0XrktGxsbvv32W+BZAuXs2bMEBgZSqlQpxo0b93YDF+ItmzZtGjVr1iQ1NZU9e/Zw5swZnWSin58f1tbW7Nq1iytXrjB58mS++eYbhg0bxvDhw9HX/+t2/8hbcp7fye1ZWVlaS9IHDBjAgwcP+O677wgJCQGgfv36jBgxghUrVrx0n81hw4axc+dOTp48qSQ4Fy9eTNmyZfH29n5LTySEEEIIIYQQQvw5kuAUwLOkyebNm9HT08Pc3JzKlSsrSZqKFSvy+++/v3JbJUuWVE6hBmjSpAmPHj1ixYoVeHt7U65cubcdvhBvjZOTkzJ+3d3dGThwIJMmTSI8PFxJCOrr69O/f3/69++Pv78/tWrV4vLly8yfPx+1Ws2oUaP+svjyDtPJb9bow4cPdZau+/n5MXz4cH777TfKlCmDnZ2d8gOIGjVqFNpX3iE/T548AZ7t0blz506mTp2q1X9WVhbZ2dnExsZSunRp+TMuhBBCCCGEEOJvJYcMCeBZwsbR0ZH69etjbW2tNQOtadOmxMfH6xxI8jpq1apFdnY2d+7ceRvhCvG3MDAwYOLEiSQkJLBly5YC6zVo0IAlS5Zga2tLeHj4XxqTra0tJUqU4NKlS1rlKpWKq1evUrduXZ17ypYti4uLi7KP7smTJ6lUqRK1atUqtK+8k+PzlqLHx8ejVqv5+uuv6dChg/LrwoUL3L59mw4dOhAYGPg2HlMIIYQQQgghhHhlkuAUL+Xl5UXp0qWZM2dOvicqR0ZGvvTAlbzkqLm5+V8SoxB/FVdXV5ycnNiwYQNZWVnA/81ofJ5Go0GtVud7avnbVKZMGZo3b873339PWlqaUr5v3z4yMjLo1KlTofcfOHCAixcvMmTIEOUHGWlpaTpL3jUaDUFBQQC0bNkSgDp16hAYGKjzq06dOlSpUoXAwED69Onz2s+UnZ3NzZs3/9a9TIUQQgghhBBCvDtkibp4KUtLS+bOncvHH3/MgAEDGDRoENWqVePx48ccOXKE0NBQIiMjlfpPnz4lOjpa+f3Zs2fZtWsXbm5u2NjYFNFTCPHmRowYwYQJEwgODmbAgAG8//779OrVi6ZNm/Lo0SNOnz7Npk2buHHjBtOnT9e69+jRo/z666/As0TetWvXWL58OQDt27fXmnGZV37jxg3gWdIy71T0sWPHKvX8/Pzo378/Pj4+9O3blwcPHrBu3TpatmxJ69atlXpnzpwhMDAQNzc3ypUrx4ULFwgODqZVq1YMHjxYqXf58mUmTZpE165dsbGxISsri8OHD3P+/Hn69eun7M9rYWGBu7u7zvvZsGEDgM61X3/9laNHjwJw584dUlNTlWesW7cu7du3B57NDO3SpQuenp588803WvGfOXMGgKSkJDIyMpT7mzRpQpMmTZS6mzdvJiUlRUmS/vjjjzx48IDs7GwaNWqkE7MQQgghhBBCiHeHJDjFK3F3d2f37t2sXr2ahQsX8vjxY8zMzGjcuDFr166lTJkySt27d+/Sr18/AAwNDbG2tmbEiBH85z//KarwhfhTOnbsiI2NDWvXrqVv375MnjyZAwcOEBYWRmJiIqdPn8bGxoYvv/ySAQMGaN176NAh5YAfgCtXrnDlyhUAKlWqpJXgXLJkida9e/bsUX7/fILTwcGBdevWsWDBAubMmUOpUqXo06cPEydO1Lq/YsWKGBgY8N1335Genk7VqlX5+OOPGTp0KCVK/N9f/1WqVKFx48YcPnyYxMRE9PX1qVWrFjNmzFD+LL+JK1eu6DxT3mdPT08lwVmQU6dOERAQkO/948aN00pwrl27lri4OOXzoUOHOHTokNY9QgghhBBCCCHeTXoajUZT1EEI8TIXL14EYNvRu9yOe1zE0Yh3SQ1rc2ZP6PLG9/v7++Pp6Ymrq+tbjEq8LRkZGVy9ehV7e3tMTU2LOhzxDyPjQxRExoYojIwPURgZH6IgMjZEYWJiYtDT09M6sFm8HtmDUwghhBBCCCGEEEIIUWzJEnVRrFhblS3qEMQ75s+OKXd3d6ytrd9SNEIIIYQQQgghhHhdkuAUxcpHA9yKOgTxDlKrNejr673RvfkduiOEEEIIIYQQQoi/jyxRF8WGSqUiMzOzqMMQ/0CZmZlcuXLljcfHmyY3hRBCCCGEEEIIUfQkwSmKFTkTS+RHo9GQmZkp40MIIYQQQgghhPgXkgSnKFb09GSmnRBCCCGEEEIIIYT4P5LgFMWGkZERJiYmRR3GP4Za/edmK/r7+xMZGfmWohFCCCGEEEIIIYQoGnLIkChWAredIC7hSVGHUeSsrcoqBy4FBwczZcoU5ZqBgQHly5fHzc0NPz8/Klas+EZ92NnZ5Vs+adIkRo0apVUWHx/P7NmzOXHiBGq1GldXV6ZOnUq1atW06m3dupVTp04RExPD/fv38fT05Jtvvsm3n0uXLrFs2TIuXbpERkYGVatWxcvLi0GDBmFgYKDUS09PZ8GCBYSHh5Oamkq1atXw8fFh4MCBWu2dOXOG7777jqtXr5KUlISZmRl169Zl7NixNG7c+JXfy4EDB9iwYQPXrl2jRIkSvPfee0yYMIHmzZsrdRITE1m4cCHHjh0jPT2d2rVrM2rUKDp37vzK/QghhBBCCCGEEOLVSILzHbds2TICAgKUz+bm5tja2uLr64uLiwsA0dHRBAQEcPXqVVJTU6lQoQL169dnxIgRNGjQQKu977//nq1bt3Lt2jUAbG1tGTBgAB988IFOv2vXriUqKuqtPk9cwhNuxz1+q22+K3x9falatSoqlYro6GhCQkI4d+4cYWFhlCxZUqd+Tk4OKpWq0Dbd3Nzo2bOnVlm9evW0PqenpzN48GBSU1P58MMPMTQ0ZP369Xh7e7N3717Mzc2VumvWrCE9PR1HR0cePnxYYL+XLl2if//+1KhRg//85z8YGxvz888/M2vWLP744w8+//xzAHJzcxkxYgSXLl3C3d0dZ2dnTp8+zYwZM0hJSWH06NFKm7dv30ZfX5/+/ftToUIFUlJS+P777/H29mblypW0bt260HcBz8Z1YGAgHh4eeHp6kpOTw/Xr14mPj1fqpKWlMXDgQBITExk8eDCWlpb88MMPfPzxx+Tk5NC9e/eX9iOEEEIIIYQQQohXJwnOfwFjY2M2bNgAwIMHD1i+fDlDhw4lODiY1NRUBg8eTKtWrZgxYwalSpXizp07HDlyhJiYGK0E51dffcWWLVvo3bs3Y8eORU9Pj4MHD+Lv78/Fixf54osviuoRBdC6dWscHR0B8PLywtzcnNWrVxMREUGXLl0ASE1NZfbs2YSHh5ORkUFoaCimpqY0atSIRYsWYWZmptVmjRo1dBKcL9q6dSu3b99m165dODk5AdCqVSu6d+/OunXrmDhxolJ306ZNVKlSBT09PRo2bFhgmzt27ABg8+bNlCtXDoD+/fvj7e1NSEiIkuA8dOgQUVFRfPnll9jZ2WFvb8/QoUPx9fVl+fLleHl5Ub58eeWdeHl5afUzcOBA3N3d2bBhw0sTnNHR0QQGBuLv78/QoUMLrLd9+3bu3LnD+vXrlVmdAwYMoG/fvsydOxcPDw+MjIwK7UsIIYQQQgghhBCvThKc/wL6+vo4Ozsrn52cnGjfvj3bt28nJSUFa2trAgMDlWW/zZs3p3///qjVauWeiIgINm/ezLhx4xg/frxS3qpVK6ysrAgMDMTNzY327dv/bc8lCufi4sLq1au5e/euUjZr1izCwsIYNWoU0dHRNG7cGBMTEw4dOkRmZqZOghPg6dOn6Onp5TsLFODgwYM4OjoqyU2A2rVr07x5c3744QetBKe1tfUrxZ6WlkbJkiV14rG0tOTWrVvK53PnzgHg4eHB7du3lfIuXbpw8OBBIiIi6Nu3b4H9mJiYYGFhQWpq6ktj2rBhAxUqVGDw4MFoNBoyMjIoVaqUTr2zZ89iYWGhtWRdX1+fzp07M2/ePM6cOYObm9tL+xNCCCGEEEIIIcSrkUOG/oWqVKmChYUFsbGxpKSkYGFhobWnYR59/f8bHhs2bKBs2bIMHz5cp96IESMoW7asMktU/DPExcUBaCUJjx07hqenJ76+vlhZWeHi4sLw4cPZvn17vnt1hoSE4OzsjJOTE126dCE0NFTrulqt5tq1a9SvX1/nXkdHR/744w/S0tJeO/amTZuSlpbGtGnTuHnzJnFxcWzbto3Dhw9r7f+pUqkwMDDA0NBQ6/68w6guXbqk03ZaWhpJSUncvHmTb7/9luvXr2slIwvyyy+/4OjoyMaNG2nWrBmNGjWiZcuWbN68WatednY2xsbGOvfnlV2+fPnlL0AIIYQQQgghhBCvTGZw/gulpaWRnJyMlZUVlpaWLF++nMWLF9O9e3dq166tUz8nJ4eoqCjatm2b74y1UqVK4erqyk8//UROTg4lSsiwKgp5iTuVSsWFCxcICAjAyMiIdu3aKXUMDAzIzMx8pfYaNmxI586dqVq1KgkJCWzdupXJkyeTmpqqHOCTnJyMSqXC0tJS5/68soSEBEqXLv1az9K3b19u3LjBjh072LVrlxL7F198wYABA5R6NWvWJDc3l4sXL2olFc+ePav0/aIJEyZw/PhxAAwNDenXrx9jx44tNJ4nT57w+PFjzp8/z6lTpxg3bhyVK1cmODiYr776ihIlStC/f38lppMnTxIXF6c1YzVvtunz+3UKIYQQQgghhBDiz5NM1L9ETk4O8GwPzrlz55Kbm4uHhwcNGzbkwoULBAUFERQURLly5WjZsiUDBgxQDiF6/PgxKpWKypUrF9h+5cqVycrKIjk5mQoVKvwtzyS0vbgvpLW1NfPnz6dSpUpKWa9evVi9ejXZ2dnExcXlmwDMs337dq3PvXv3pnfv3ixatIhevXphbGxMVlYWQL57SuYtac+r8zoMDAyoVq0aLVu2pFOnThgZGbF//36+/vprLC0tcXd3B6Bbt24EBgYyffp0Bg0aRNmyZTl37hxbt24Fni2vf9HkyZMZPnw49+/fZ+/evWRnZ5OTk1PgEnyAjIwM4FlCd9GiRcqepp06daJ79+4EBQUpCc4+ffqwfft2Pv74Y6ZMmUKFChX44YcfOHz4cIExCSGEEEIIIYQQ4s3JEvV/gYyMDBwcHHBwcKBDhw5ERkYybdo0WrVqRenSpVm7di27du3io48+om7duhw8eBBvb29l5pwoHqZNm8a6detYunQpbdq04fHjxzqJRz8/P6ZPn05sbCyXL19m8uTJuLm5sWbNGq09V/NjZGTEoEGDSElJUZZ+5yUF8zuNPS+xWVjisCCrVq1izZo1LFy4kA8++IAuXboQGBhIo0aNmDFjhpKwt7S0JCgoCJVKxZw5c+jatSvz5s1TDrwyNTXVadve3h43Nzf69OnD2rVruXjxIlOmTCk0nrxnMDQ0xMPDQynP21vzwYMH3Lt3D4C6deuyYMEC/vjjDwYMGMD777/Ppk2bmDp1aoExCSGEEEIIIYQQ4s3JDM5/AWNjYzZv3oyenh7m5uZUrlxZa39NeHbwUN4hMXfv3sXHx4cFCxYop3EbGRlx//79Avu4f/8+JUuWVE68Fn8/Jycn5RR1d3d3Bg4cyKRJkwgPD1e2FtDX16d///70798ff39/atWqxeXLl5k/fz5qtVprf8v85M3iffLkCQDlypXDyMiIhw8f6tTNK7OysnrtZ9m6dSuurq46WyJ06NCBOXPmEBcXR/Xq1QFo0qQJYWFhHDp0iMqVK9OgQQNlZmqNGjUK7cfIyIj27duzatUqnj59mu/emfDsOfMOPXpxv9q8U9pTUlKoUqUK8GxmZ/v27fn1119Rq9XUq1eP06dPv1JMQgghhBBCCCGEeD0yg/NfQF9fH0dHR+rXr4+1tbVOcvNF1apVo1OnTiQnJ5OYmEiJEiVo2LAhp0+fVpbqPi8jI4PTp0/TsGFD2X/zH8LAwICJEyeSkJDAli1bCqzXoEEDlixZgq2tLeHh4S9tN+9EdgsLC+DZ2LK1tc33MJ+YmBiqVav22vtvAiQmJuY7ozQ7Oxv4vy0X8hgYGFCjRg2cnZ0pVaoUJ0+eBKBFixYv7evp06doNBrS09MLrKOvr4+9vb2yx+nz8pKp5ubmWuVGRkY4OTnh7OyMkZHRa8UkhBBCCCGEEEKIVycJzn+5xMTEfMtv376NkZGRcgL3kCFDSE5OZu3atTp1165dS3JyMkOGDPlLYxWvx9XVFScnJzZs2KAsF8+befk8jUaDWq3Wmr2YlJSkUy8tLY0NGzZgbm6Og4ODUu7h4cHFixe5ePGiUvb7779z6tQpOnXq9Eax5x3U8/jxY6UsNzeXH374gVKlSmFjY1PgvUlJSaxZswY7OzutZOKjR4906qakpCgzP/NmYgLcu3ePmzdvatXt3Lkzubm57N27VynLysoiNDSU9957L99T6PPcvn2b7du3065dO2rWrFnoswshhBBCCCGEEOL1yHS7f7nPP/+c3NxcOnbsSI0aNUhLS+PgwYP8+OOPDBkyRNnDsUOHDnh7exMQEMCDBw+UxNWhQ4fYuXMn3t7etG/fXqvt3NzcfGcFOjk5KUt5xV9rxIgRTJgwgeDgYGU/yF69etG0aVMePXrE6dOn2bRpEzdu3GD69OnKfVu2bOHIkSO0a9eOKlWqkJCQQHBwMPfu3WPevHlae3sOHDiQXbt28eGHHzJ8+HBKlCjB+vXrKV++PMOHD9eK5+jRo/z666/As9mY165dY/ny5QC0b9+eunXrAvCf//yH//73v/Tt25e+fftibGzM/v37uXz5Mh9//DGGhoZKm97e3jg4OGBoaMjx48cJCQkhIyODFStWaM1W/s9//kPFihVp0KAB5cuX5969ewQHB5OQkMCiRYu04vz00085ffo0165dU8r69+/P7t27mTlzJrdu3aJKlSrs27ePe/fuERQUpHV/ly5d6NSpE5UrVyY2Npbt27dTrlw5ZsyY8SZfRiGEEEIIIYQQQhRCEpz/coMGDWLv3r2sXLmShw8fYmxsjI2NDbNmzcLT01Or7hdffEGDBg3YunUr48ePB8DW1pZvvvmGDz74QKftrKwsJkyYoFM+b948evbs+Zc8j9DWsWNHbGxsWLt2LX379mXy5MkcOHCAsLAwEhMTOX36NDY2Nnz55ZcMGDBAua9Ro0ZERUWxe/dukpOTMTExwcnJiVmzZtG8eXOtPkqXLs2mTZuYPXs2QUFBqNVqXF1dmTJlirKUPc+hQ4cICQlRPl+5coUrV64AUKlSJSXB2aNHD8zNzVm1ahXfffcdaWlp1KxZkxkzZiinledxcHDgyJEjxMfHU7p0adzc3Pj444+pVq2aVr3evXuzf/9+1q9fT2pqKmZmZjRo0ICFCxfi4uLy0ndpbGzMhg0bmD9/PsHBwWRkZGBvb8/KlStp1aqVVt26desSHBxMYmIi5ubmdOrUCV9fX61ZokIIIYQQQgghhHg79DQajaaogxDiZfKWP287epfbcY9fUvvdV8PanNkTuvypNvz9/fH09MTV1fUtRVV0MjIyuHr1Kvb29nJKudAiY0MURsaHKIiMDVEYGR+iMDI+REFkbIjCxMTEoKenpxwcLF6f7MEphBBCCCGEEEIIIYQotmSJuihWrK3KFnUI/whv4z24u7tjbW39FqIRQgghhBBCCCGEKDqS4BTFykcD3Io6hH8MtVqDvr7eG9/v7u7+FqMRQgghhBBCCCGEKBqyRF0UGyqViszMzKIO4x/jzyQ3hRBCCCGEEEIIId4VkuAUxYqciSWEEEIIIYQQQgghnicJTlGs6OnJrEUhhBBCCCGEEEII8X8kwSmKDSMjI0xMTIo6jL+MWv3nZqf6+/sTGRn5lqIRQgghhBBCCCGEKB7kkCFRrARuO0FcwpOiDuOts7YqqxygFBwczJQpU5RrBgYGlC9fHjc3N/z8/KhYseKf7u/s2bMMGjQIgF9++QULCwvl2u+//8727duJiYnh8uXLqFQqIiIiqFq1ar5tRUREEBAQwI0bNyhfvjy9evVi7NixlChR8F8vn3/+Obt27aJt27asXLlS61p6ejqLFy/m4MGDJCUlUa1aNXx8fBg4cKBWPR8fH06fPp1v+yVKlODy5cuv9C4AsrOz6dmzJzdv3uSTTz5hxIgRyrX4+Hjmz5/PxYsXSUhIwMDAgBo1ajBo0CA++OADmVUshBBCCCGEEEIUMUlwimIlLuEJt+MeF3UYfwtfX1+qVq2KSqUiOjqakJAQzp07R1hYGCVLltSpn5OTg0qlemm7arWar7/+GlNTUzIyMnSuR0dHs2nTJt577z1q167N1atXC2zrp59+4qOPPqJp06Z88cUXXL9+naCgIB49esSMGTPyvefixYuEhITk+wy5ubmMGDGCS5cuMWjQIKpXr87x48eZMWMGKSkpjB49Wqk7evRo+vTpAzw7gOrevXuYm5sza9Ys3NzcXvoenrd582bu37+f77XHjx8THx9Pp06dqFy5Mjk5OZw4cQJ/f39u3brFxIkTX6svIYQQQgghhBBCvF2S4HxHLFu2jICAAFxcXNiyZYvWtVmzZhEREcHRo0eVsps3b7J8+XJOnTrFkydPqFixIu+//z6jR4+mXLlyAHz11VeEhIRw8uRJjI2Ndfo8evQoY8aMYf369TRv3hyACxcusGLFCs6fP09GRgZVq1ala9eujBw5Mt82RMFat26No6MjAF5eXpibm7N69WoiIiLo0qULAKmpqcyePZvw8HAyMjIIDQ3F1NSURo0asWjRIszMzHTa3bFjB/fv36dPnz5s3LhR53r79u05c+YMpUuX5rvvvis0wTlv3jzs7OxYu3atMmOzVKlSrFy5ksGDB1O7dm2t+hqNhlmzZtGzZ09OnTql096hQ4eIiopi1qxZSvJy4MCB+Pr6snz5cry8vChfvjyAVhIzIyODq1ev8vvvvwPQvXv3gl/sCx49ekRgYCAjR45k6dKlOtfr1q3Lpk2btMq8vb0ZPXo0mzZtYsKECRgYGLxyf0IIIYQQQgghhHi7ZA/Od8zZs2dfug/jmTNn6NOnDzdu3OCTTz5h7dq1DBkyhH379tGvXz8ePnwIQLdu3UhPT+fHH3/Mt539+/djZWWFq6srAAcOHGDgwIGkpaUxY8YM1qxZQ48ePfjuu+8YPHgwmZmZb/dh/2VcXFwAuHv3rlI2a9YsQkNDGTZsGG5ubvj6+jJ+/HjS09Pzfd/JycksXrwYX1/ffJOfAOXKlaN06dIvjefGjRvcuHGDvn37ai1HHzhwIBqNhoMHD+rcs2/fPq5fv46fn1++bZ47dw6Arl27apV36dKFrKwsIiIiCo3phx9+wNTUlA4dOrw0/jwLFiygZs2a9OjR45XvAbC2tiYzM5Ps7OzXuk8IIYQQQgghhBBvlyQ43yGmpqY4OTmxfPnyAus8ffqUiRMnUqVKFbZt20bPnj1p2rQpgwcPZvPmzdy7d4+ZM2cC0LBhQ6pVq0ZYWJhOOxkZGRw9epSuXbuir69PfHw8n332GS4uLqxfv55OnTrh6urKmDFjCAoK4sKFCyxZsuQve/Z/g7i4OACtxOSxY8fw9PTE19cXKysrXFxcGD58ONu3b893r84lS5ZgaWlJ//79/3Q8V65cAVBmmeapWLEilSpV0pn5mZaWxoIFCxg9ejSWlpb5tqlSqTAwMMDQ0FCrPO9wqUuXLhUYT0pKCpGRkXTo0AFTU9NXeoaYmBj27t3L1KlTX7qX5tOnT0lKSiI2NpaQkBCCg4NxdnaWmclCCCGEEEIIIUQRkwTnO2bs2LGcOnWK8+fP53s9PDychIQERo8erZMEql27Nj179uTw4cNKMq1r1678/PPPpKamatU9evQoGRkZylLgXbt2kZGRke9y3WbNmtGiRQt27NjB06dP39ajvvPS0tJISkriwYMHHDx4kICAAIyMjGjXrp1Sx8DA4JVnxv7666/s2LEDf3//t7KkOm+mb37JSktLSxISErTKAgMDKVmyJEOHDi2wzZo1a5Kbm0t0dLRW+dmzZwF02nzeL7/8Qk5OzisvT9doNHz11Vd06dKFhg0bvrT+xo0bad68OR06dMDf358GDRqwaNGiV+pLCCGEEEIIIYQQfx1JcL5j2rVrR7169QgMDMz3et6p088nyZ7Xvn17NBqNslS4e/fuqFQqneXGYWFh1KpVCwcHB+DZsvdy5crRqFGjAtvNyMh4rZOt/+2GDh1K8+bNadOmDb6+vpiYmBAUFESlSpWUOr169SIsLIwJEyZw48aNQhOAs2bNonXr1rRs2fKtxJeXrDYyMtK5VrJkSa1k9q1bt9i0aROffPJJvvXzdOvWjTJlyvDZZ59x4sQJYmNj2bFjB1u3btXqMz8nT57E3Nz8lQ8YCg4O5vr160yePPmV6nft2pV169axcOFCunXr9tJ4hBBCCCGEEEII8feQBOc7aMyYMRw/fpyYmBida/Hx8ZiZmRW4x2KVKlUAePDgAQDvvfce9vb27N+/X6mTnJzM8ePHlSRPXruVK1cuMKa8a/Hx8a//QP9S06ZNY926dSxdupQ2bdrw+PFjneSgn58f06dPJzY2lsuXLzN58mTc3NxYs2YNarVaqXfgwAGioqL49NNP31p8eUuz8zu5PSsrS2vp9qxZs2jYsCEeHh6FtmlpaUlQUBAqlYrhw4fToUMH5s2bxxdffAFQ4NLz2NhYfvvtNzp27Ki1H2hB0tLS+PbbbxkxYkSh4/Z51tbWtGjRgm7durFw4UKqVavGsGHDJMkphBBCCCGEEEIUMUlwvoPef/99bG1tC5zF+bq6detGZGQkiYmJwLOTrrOzs1/rpGrx+pycnGjRogUeHh4EBQVha2vLpEmTSE9PV+ro6+vTv39/9uzZQ8+ePZk0aRIuLi7Mnz+fNWvWKPXmzZuHh4cHhoaGxMbGEhsbS0pKCvAsmf0miee8pel5S9Wf9/DhQ6ysrIBnS8f/97//MXjwYKXv2NhYcnJyePr0KbGxsaSlpSn3NmnShCNHjrB37162bt3Kzz//TIMGDQCoUaNGvrH88MMPAMrp8i/z3XffkZ2dTZcuXZR48pL6KSkpxMbG5pu4fZ6Hhwf379/nzJkzr9SnEEIIIYQQQggh/hqS4HwH6enpMXr0aI4dO6azJLxixYqkpKRoJZSed+/ePQCtZdDdunVDrVZz4MABAEJDQ3F2dsbGxkar3fv37xcYU961/A6+ES9nYGDAxIkTSUhIYMuWLQXWa9CgAUuWLMHW1pbw8HCl/P79+4SFhdGhQwfl18aNGwHw9PRk1KhRrx2Tvb09ABcvXtQqj4+P58GDB9StW1fpG2DcuHFa/cfHx3Pq1Ck6dOjA7t27dZ7X3t6exo0bU6pUKU6ePAlAixYt8o3lhx9+oGLFijg5Ob1S7Pfv3+fJkyd07dpViWfQoEEArFixgg4dOnDz5s1C28ibufni/rRCCCGEEEIIIYT4e718Lacoljp37syyZctYvny5suwcoGnTpuzZs4effvqJrl276tx37Ngx9PT0cHFxUcoqVapEkyZN2L9/Px4eHpw9e5apU6dq3dekSRNOnTpFdHQ0zs7O+bZramqq7NkpXp+rqytOTk5s2LCBIUOGULJkSZ48eULZsmW16mk0GtRqtdYS8fxm8+7fv58DBw4wd+5crYT2q6pTpw61atVi586d9O/fXzm4aNu2bejp6dGpUyfg2SFT+fX/xRdfUKVKFcaMGYOtrW2B/SQlJbFmzRrs7OzyTXBeuXKFW7du4enpWWAbf/zxB4CSlPfx8cHd3V2rzqNHj5g2bRq9evWiQ4cOVK1aVenfwsJCp83du3ejp6cnY1oIIYQQQgghhChikuB8R+nr6zN69Gj8/f1p2rSpUt6pUycWLlxIUFAQ7du3x8TERLl269YtQkJC6Nixo1ZSFJ7N4pw2bRqrVq1CT09PZymwl5cX3333HUuWLOG7775DX///JgefPn2a48ePM3z4cK2km3h9I0aMYMKECQQHBzNgwADef/99evXqRdOmTXn06BGnT59m06ZN3Lhxg+nTpyv3vZjMA7h69SoArVu31krgpaamsmnTJgDOnz8PwJYtWyhTpgxmZmZ4e3srdT/55BPGjBnD8OHD6dq1K9evX2fLli14eXlRu3Zt4Nm+ri+OJ4DZs2dToUIFndi8vb1xdnamevXqPHz4kJ07d5KRkcGKFSu0xlWe0NBQgEIPF8o7uf3o0aMAODg46CQmY2NjgWf7zj4fU1BQEOfPn6dVq1ZUqVKF5ORkDh06xMWLF/Hx8aF69eoF9iuEEEIIIYQQQoi/niQ432Hdu3cnMDCQyMhIrK2tgWcHw3z77beMGjWKgQMHMmzYMCpXrsyvv/7KihUrqFy5snKgy/M8PDz46quv2LJlCy1btqR8+fJa1ytWrMisWbOYPHkyQ4cOZdCgQZibm3P+/HlWrVpFgwYN8PX1/Vue+13WsWNHbGxsWLt2LX379mXy5MkcOHCAsLAwEhMTOX36NDY2Nnz55ZcMGDDgjfp48uQJS5Ys0Spbu3Yt8OygnecTnO3atSMgIICAgAC++uorLCws+PDDD/noo4/e+BkdHBwIDw8nPj6e0qVL06JFCz7++GOqVaumU1etVrN//37s7e3zTaK+DW3btuXu3bvs2bNHOejJzs6OOXPmFDprVAghhBBCCCGEEH8PPY1GoynqIMSft2zZMtauXUtUVJRW+a5du/j888+xtrZWZq8B3Lx5k+XLl/PLL7+QkpKClZUVHTt2ZPTo0ZQrVy7fPsaMGcPRo0eZO3cuH3zwQb51Lly4QFBQEFFRUWRkZGBtbU23bt0YMWKE1mzR15W3z+O2o3e5Hff4jdv5p6phbc7sCa92QE5B/P398fT0xNXV9S1FVXxkZGRw9epV7O3tCzxpXfw7ydgQhZHxIQoiY0MURsaHKIyMD1EQGRuiMDExMejp6eHo6FjUoRRbMoPzHTF+/HjGjx+vU+7l5YWXl5dOee3atVm4cOFr9REUFPTSOg0aNGDFihWv1a4QQgghhBBCCCGEEG9KEpyiWLG2KvvySsXQ23gud3d3ZSsCIYQQQgghhBBCiH8LSXCKYuWjAQUfJFPcqdUa9PX13vj+/A4SEkIIIYQQQgghhHjX6R5JLMQ/lEqlIjMzs6jD+Mv8meSmEEIIIYQQQgghxL+VJDhFsSJnYgkhhBBCCCGEEEKI50mCUxQrenoyy1EIIYQQQgghhBBC/B9JcIpiw8jICBMTk6IO461Tq//crFR/f38iIyPfUjRCCCGEEEIIIYQQxYscMiSKlcBtJ4hLeFLUYbw11lZllYOTgoODmTJlinLNwMCA8uXL4+bmhp+fHxUrVnzt9p8+fcrMmTOJiYnh/v37qNVqqlWrRu/evRk4cCCGhoZa9U+cOEFAQABXrlzByMiI5s2b88knn1C1alWdttPS0li+fDnh4eEkJCRgbm5Ow4YNmTt3rpKIPnPmDN999x1Xr14lKSkJMzMz6taty9ixY2ncuLFWeytWrODo0aP88ccfpKenU7lyZdq0acOYMWOwsLDQqhsUFMSFCxeIiYnh0aNHfPjhh7Rp0+a13s3ly5dZtmwZ58+fJysri2rVqtG3b18GDx6sVU+lUrF27Vr27t1LXFwcZcqUoX79+sycOZNKlSq9Vp9CCCGEEEIIIYR4+yTBKYqVuIQn3I57XNRh/KV8fX2pWrUqKpWK6OhoQkJCOHfuHGFhYZQsWVKnfk5ODiqVKt+2nj59yo0bN2jdujXW1tbo6+sTFRXFnDlziImJYeHChUrdH3/8kbFjx1KvXj0mTZpEWloaGzduZODAgezdu1cryZiamoq3tzcPHjygX79+2NjYkJSUxLlz51CpVEqC8/bt2+jr69O/f38qVKhASkoK33//Pd7e3qxcuZLWrVsrbV6+fJm6devSpUsXSpUqxe+//87OnTv56aef2Lt3L6ampkrdxYsXY2lpib29PcePH3/td3z8+HFGjx5NvXr1GDt2LKampvzxxx88ePBAq152djYffvghUVFReHl5YWdnR0pKChcuXCA1NVUSnEIIIYQQQgghxD+AJDj/BZYtW0ZAQIDy2dzcHFtbW3x9fXFxcSEyMlJr1pqJiQnVqlWjT58+eHt7c/bsWZ1ZbfmJiIjg9OnTWrMQDQ0NqVSpEp07d2bs2LHv5BLzt61169Y4OjoC4OXlhbm5OatXryYiIoIuXboAzxKMs2fPJjw8nIyMDEJDQzE1NaVRo0YsWrQIMzMzAMqVK8fOnTu12h8wYABlypRh8+bN+Pv7Y2lpCcCCBQuoVq0a27Ztw8jICID27dvj6enJqlWr8Pf3V9pYuHAh9+7dIzg4mGrVqhX4LF5eXnh5eWmVDRw4EHd3dzZs2KCV4Fy2bJnO/c7Ozvj6+vLjjz/StWtXpTwiIoKqVauSlJRE8+bNX/5Sn5OWlsann35K27ZtWbp0Kfr6Be/UsX79es6cOcPWrVtxcnJ6rX6EEEIIIYQQQgjx95AE57+EsbExGzZsAODBgwcsX76coUOHEhwcrNSZM2cOtWrVIjU1lb179zJ79myysrIYOHAgO3bsUOpdvnyZmTNnKvXzWFlZKb9fs2YNZcqUITs7m4sXL7J48WKePHnCzJkz/4anfbe4uLiwevVq7t69q5TNmjWLsLAwRo0aRXR0NI0bN8bExIRDhw6RmZmpJDgLYm1tDUBKSgqWlpYkJydz48YNRowYoSQ3AerWrUvt2rXZv3+/kuBMSUkhODgYHx8fqlWrpsweff6+wpiYmGBhYUFqaupL6z4f5/PyWzL/qkJDQ0lMTMTPzw99fX0yMjIwNjbWSXSq1Wo2btyIu7s7Tk5O5OTkkJ2dLUl6IYQQQgghhBDiH0YSnP8S+vr6ODs7K5+dnJxo374927dvx8PDA4A6deooMwfd3Ny4cuUKe/bsYdSoUVr3ZmVl6dR/kYODg7KkuUmTJjx48IDQ0FBJcL6BuLg4AK2k5bFjx/D09MTX1xd/f39cXFxwdXVl+PDh+bahUqlIS0sjKyuLS5cusXbtWqytralevbpyHZ4lwl9kbGzMb7/9xsOHD7G0tOTcuXNkZWVRvXp1fH19OXLkCGq1GmdnZ7788kvs7e112khLS0OlUvH48WP27dvH9evXGT16tE49jUbD48ePyc3N5c6dOyxYsAADAwOaNm36+i+uAL/88gulS5cmPj6esWPHcvv2bUxNTenRowdTp05VtgG4ceMGCQkJ2NnZ8cUXXxASEkJ2dja2trZ89tlnNGvW7K3FJIQQQgghhBBCiDcnCc5/qSpVqmBhYUFsbGy+1/X19bGzs+Po0aNvpb9SpUqRk5PzVtp616WlpZGUlIRKpeLChQsEBARgZGREu3btlDoGBgZkZma+cpuHDx9m4sSJyuf69esze/ZsSpR49ldAhQoVMDMz4/z5/8fevcf1eP+PH39USuWYVIhWOcypnCLkMOR8WhE5EzOHKcksmzEzx5hRbORM4mPlUCwsh81YGVpOQw1LDpVIRx3e/f7w6/p6e1eOG/G8325ut12v63W6rvfF7fZ5fl6v1/O0Wrt79+4RGxsLwJ07dzAxMeH69evAo23qFhYWLFy4kNTUVFasWMGIESMIDQ1VW80L4OHhoZyVqaury8CBA5kwYYLGPJOSkmjTpo1yXaVKFRYvXkzNmjWf+Vmf5tq1a+Tl5TFhwgT69++Pl5cXkZGRbN68mdTUVL799lsA5Tk3bNhAxYoVleD8qlWrGDNmDD/++CN169Z9ZfMSQgghhBBCCCHEi5EA5zsqLS2N+/fvawSiHnfz5s0X3gqsUqmULb1nz55lx44dykpRUbyRI0eqXZubm+Pj46OW0MbZ2Rl/f39ycnKIj48nISGh2D7t7e1Zv349Dx484MSJE1y6dEktQKqtrc3AgQPx9/dnyZIl9OvXj7S0NHx8fMjJyQEeJSwCSE9PB0BLS4sNGzZQpkwZAOrXr8/AgQMJCAjA09NTbfypU6fi5ubGrVu32LVrFzk5OeTm5mokTapQoQLr16/n4cOHXLhwgYMHD5KRkfEcb+/pMjIyyMzMxNXVlRkzZgDQpUsXsrOz2b59O+7u7lhaWirPmZ6ezq5du6hatSoALVu2pEuXLqxZs4bFixe/0rkJIYQQQgghhBDi+UmA8x1SsILy9u3bLFy4kLy8PLWgY0FQMjU1leDgYKKjo5XVbM/LwcFB7bpFixZqyYdE0WbOnImVlRWpqakEBQVx8uRJjfMtPT09MTc3Z8eOHVy4cIGpU6eyYMECRo0ahZubm8Z5kpUrV6Zy5coAdOvWjR9++IFRo0Zx4MABJcmQu7s79+7dY82aNaxevRqANm3a0K9fP7Zt26YEMgu2sXfo0EEpg0cJgapXr86ZM2c0nunxbet9+vTB2dmZ6dOns3z5crV6enp6tG7dWum/VatWDBo0CGNjY7UVrC+jYP69evVSK+/duzfbt28nKioKS0tLpV7Tpk2V4CY8Wv3ctGnTQp9TCCGEEEIIIYQQ/z0JcL4jMjIyaNCggXJdoUIFZs6cSdu2bYmIiABgwIABam3Gjh2rZO1+Xhs2bKBs2bLk5eURExPD8uXL+eSTT1i7dm2xWavFo/NRC842dXR0ZPDgwXh5eREWFqYEFLW1tXF1dcXV1RVvb2+sra05f/48Pj4+qFQqxo4dW+wYXbt2ZenSpYSHh+Pq6go8Ci7OnTsXT09Prl27hrGxMVZWVnh5eaGtrY2FhQXwf8mkCgKmjzM2NtZICPQkPT09OnbsyOrVq8nKyir03M8CTZs2xcTEhJCQkFcW4DQ1NeXKlSsYGxurlRecGZuSkqLUg6Kf8+LFi69kPkIIIYQQQgghhHg5EuB8R+jr67Nlyxa0tLQwMjKiatWqGoHGhQsXUrNmTZKTk1m1ahX+/v40b96cdu3aPfd477//vhIwaty4MeXLl2fSpEkcPXr0lQWq3gU6OjpMmTKF4cOHExAQUGTgslGjRowdO5bevXsTFhb21ABnQaKowjKZP77aMy8vj4iICBo1aqQEVwsC5Xfu3NFom5CQgLW19VOfKysri/z8fNLT04sNcMKjBEjPknH9WTVo0IDffvuNO3fuqM21YJt/wXdbp04ddHV1i3zOgnpCCCGEEEIIIYR4vWQp3TtCW1sbGxsbGjZsiLm5eaGrKGvWrImNjQ3t27fH398fExMTFi5cSH5+/kuPX5Ak5sqVKy/d17vG3t4eW1tbNm7cqAQmC1YZPi4/Px+VSqUWMExOTi7099uxYwfwKNlQcdauXUtiYiKjRo1Syqytralbty7h4eEkJycr5ceOHePWrVvKFnOAu3fvavT54MEDDhw4QNWqVZVVlAXnYj5p//79pKSkPHWeRUlOTiY2Nlat7+7duwPw448/qtX98ccfKVWqlJKxvWzZsrRr144zZ84oiZYAYmNjOXPmjNpzCiGEEEIIIYQQ4vWRFZyiUGXKlMHd3Z0ZM2bw888/07lz55fq7/LlywAYGRm9ium9c0aPHo2HhwfBwcEMGjSIzp074+zsTIsWLbh7966SBTwmJoavvvpKabdnzx62bduGo6MjNWrUID09nWPHjvHbb78pZ1wW2L17NwcOHKB58+YYGhpy/PhxfvrpJ1xcXDQSRE2fPh03NzcGDx6Mq6srqamprF+/HktLSwYNGqTU++ijjzAzM6NRo0YYGxtz8+ZNgoODSUhIYOnSpUq969evM3LkSHr06IG1tTXa2tqcO3eOPXv2YG5uzvDhw9XG37VrFzdv3lQSH50+fZrk5GSOHTtG//79MTc3ByAgIAA/Pz82bdqEvb098CgZUr9+/QgKCiIvL4/mzZsTGRlJWFgYH3/8MWZmZso4U6ZM4cSJE4wYMUKZw6ZNm6hQoQLjxo17mZ9UCCGEEEIIIYQQr4gEOEWRPvzwQ3744Qf8/f2fO8B5/vx5ypUrR25uLn///TfLly+ncuXKLx0ofVd16dIFCwsL1q1bx4ABA5g6dSr79u0jNDSUpKQkIiMjsbCwYNasWWoBxmbNmnHmzBn27t1LUlISpUqVwsrKiunTpzN06FC1MaysrEhJSWHlypVkZWVhZWXF7NmzGThwoMZ8WrZsyZo1a1i2bBnffvstBgYGODo68umnn6olHurXrx979+5lw4YNpKamUr58eRo1asSSJUuws7NT6pmZmdG1a1d+//13Jcu6ubk5Q4YMYdy4cRqB8aCgICIjI5XrkydPcvLkSWVuBQHOosyePZtq1aoRHBzMzz//TLVq1Zg+fbpGBvtatWqxZcsWFi9ezPfff4+WlhYtW7Zk2rRpaoFQIYQQQgghhBBCvD4S4BRF0tXVZdy4ccyYMYOIiAhlBdyzGDNmDPBoa7yZmRktW7bEw8ODihUr/kuzLfmcnZ1xdnYu9J62tjYHDx5UrgcMGKAkhfL29sbJyanQ38fGxoZly5Y90/i2trZs2bLlmefbunXrp27THjJkCEOGDHlqX5UqVeLrr79+5rE3b96sdp2RkcHFixepV68ehoaGSvmkSZOYNGmSRntdXV0++eQTPvnkk6eO1aBBA9avX//McxNCCCGEEEIIIcR/SwKc74CigjwF7O3tuXTpUqH3XFxccHFxeeb6xQXphBBCCCGEEEIIIYR41STAKUoUc9MKr3sKr9SreB5HR8enbskWQgghhBBCCCGEeFtJgFOUKBMHObzuKbxyKlU+2tpaL9ze0dHxFc5GCCGEEEIIIYQQomTRft0TEOJZZWdnk5mZ+bqn8cq9THBTCCGEEEIIIYQQ4l0nAU5RouTn57/uKQghhBBCCCGEEEKIN4gEOIUQQgghhBBCCCGEECWWBDhFiaKlJdu5hRBCCCGEEEIIIcT/kQCnKDH09PQwMDB43dMolEr1clvnvb29iYiIeEWzEUIIIYQQQgghhHh3SBZ1UaKsCPyN+ISU1z0NNeamFZTs7sHBwUyfPl25p6Ojg7GxMQ4ODnh6emJmZvbc/d+6dYugoCCOHDnC9evX0dbWpk6dOowfP57WrVtr1D937hy+vr6cO3eOjIwMqlevjouLC0OGDEFHRweAiIgIhg8fXuSYkydPZvz48QCcOHGCPXv2cPr0aW7fvk3lypVp2bIlHh4emJqaqrVTqVRs376dbdu28c8//2BgYED9+vWZMGECTZs2VepFR0eza9cuIiIiiI+Pp2LFijRq1IjJkydjZWX11Hfy5Ht+3LFjxzAxMVErCw8Px8/Pj5iYGIyNjXF2dmbChAmUKiX/BAohhBBCCCGEECWd/K978VS+vr74+fkBj7aIlylThmrVqtG8eXOGDBlCzZo11epnZ2ezdetW9uzZw9WrV8nLy+O9996jS5cujBgxgvLly7/wXOITUrgWf++lnue/4O7uTvXq1cnOziYqKoqdO3dy6tQpQkNDKV26tEb93NxcsrOzC+0rPDwcf39/HB0dcXJyIjc3l927dzNq1CjmzZtHv379lLrnzp3D1dUVS0tLPvroI/T19fnll1+YO3cu//zzDzNmzACgZs2aLFq0SGOsPXv2cOzYMRwcHJQyHx8fUlJS6NatG5aWlsTFxbFlyxaOHDnCrl271IKJixYtYv369fTp04fBgwfz4MEDtm/fzrBhwwgMDMTW1haANWvWcPr0abp168b7779PYmIiAQEBODs7s337durUqfPc7/nmzZtUq1ZN4/s6evQoEydOpEWLFnz55ZdcvnyZ77//nrt37zJ79uxnGkcIIYQQQgghhBBvLglwimeir6/Pxo0bAUhPT+fy5cts376d//3vf8ydO5e+ffsC8PDhQ8aMGUNUVBRDhgxh8uTJ6OnpcfHiRTZv3kxqaiqff/7563yU/0S7du2wsbEBwMXFBSMjI/z9/QkPD6dHjx4ApKamMm/ePMLCwsjIyCAkJARDQ0OaNm3K0qVLlUCdvb09hw8fplKlSkr/gwYNom/fvixfvlwtwLl9+3YAtmzZQsWKFQFwdXVl6NCh7Ny5UwlwVq5cWfnNHrdixQosLS2VQCTA9OnTadasGdra/3eiRdu2bRk6dChbtmzB09MTeBSkDQwMpGvXrvj4+Ch1u3XrhqOjI3v27FH6HTlyJIsXL0ZPT0+p16NHD3r37s3q1atZvHjxc73njIwMLl68SL169TQCyIsWLeL9999n3bp1yorNMmXKsGrVKoYPH64RoBdCCCGEEEIIIUTJImdwimeira1N48aNady4MQ4ODowaNYrdu3fTrFkzvvjiC+Li4gBYtmwZf/zxB6tWrcLb25t27drRsmVLRo0axU8//USHDh1e85O8HnZ2dgDKewKYO3cuISEhjBo1CgcHB9zd3Zk0aRLp6elkZmYq9WrXrq0W3IRH55G2b9+e27dvk5aWppSnpaVRunRpjVWMJiYm6OvrFzvH6Ohorl+/Tu/evdXKmzdvrhbcLCirWLEif//9t1KWm5tLVlYWlStXVqtrbGyMtra22vhNmzZVC24CWFpaUrt2bbU+n0VaWhp5eXmF3ouJiSEmJoYBAwaobUcfPHgw+fn57N+//7nGEkIIIYQQQgghxJtHApzihZUuXZovv/ySnJwcduzYQVZWFoGBgTg6OhZ6NmTp0qVp1arVa5jp6xcfHw+gFng8cuQITk5OuLu7Y2pqip2dHW5ubmzbtu2ZzupMTEzEwMBALfFSixYtSEtLY+bMmcTGxhIfH09gYCAHDx5k7Nixxfa3Z88eAI0AZ2HS09NJT0/HyMhIKdPX16dRo0bs3LmTPXv2cPPmTf766y+8vb0pX748AwcOLLbP/Px8kpKS1Pp8muHDh9OsWTNatWrF4sWLuX79utr9CxcuACiraQuYmZlRpUoVLl68+MxjCSGEEEIIIYQQ4s0kW9TFS6lVqxZmZmacOXNGSWrTtm3b1z2t1y4tLY3k5GSys7P5888/8fPzQ09PT20Fq46OjtpKzedx/fp1Dh48SLdu3ZTEQQADBgwgJiaG7du3s2PHDmWcL7/8kkGDBhXZX15eHj/99BO2tra89957Tx1/48aN5OTk0L17d7VyHx8fPD09+fTTT5WyGjVqEBgYSI0aNYrtc8+ePdy5cwd3d/enjq+vr4+zszP29vaULVuWM2fOsHnzZkaOHMmuXbuoWrUq8CgIDGgkHSooS0hIeOpYQgghhBBCCCGEeLNJgFO8tKpVq5KUlKQEiwqCS++ykSNHql2bm5vj4+NDlSpVlDJnZ2f8/f3JyckhPj7+mYNtmZmZeHh4oK+vj5eXl9o9HR0datSoQZs2bejWrRt6enrs3buXb775BhMTExwdHQvt88SJEyQlJfHxxx8/dfyTJ0+yYsUKunfvrrEit0yZMtSqVYvGjRvTqlUrEhMT8ff3Z+LEiQQEBGhstS8QGxvL119/TZMmTXBycnrqHHr06KGcZQrQunVrqlWrxpw5c/j+++/5+uuvAcjKygLQ2A4Pj1YUP769XwghhBBCCCGEECWTBDjFS8vPz0dLS0u5fvy/31UzZ87EysqK1NRUgoKCOHnypEaQzdPTE3Nzc3bs2MGFCxeYOnUqCxYsYNSoUbi5uWmcewmPVlp6enoSExODv7+/xlb21atXs2nTJvbv30+ZMmWAR8HAYcOGMXv2bD744AO1sygLhISEoKOjoxY0LExsbCyffPIJtWvX5ptvvlG7l5uby6hRo5Rs5QVat25Nr169WLt2rdrKzgKJiYl8/PHHlCtXjmXLlqmtSH0edevWpWHDhpw4cUIpKzj3s7AM9Q8fPnzquaRCCCGEEEIIIYR488kZnOKl3b59m8qVK2NqagrArVu3XvOMXj9bW1tat25N165d+f7776lTpw5eXl6kp6crdbS1tXF1dSUoKIi+ffvi5eWFnZ0dPj4+rFmzptB+Z8yYwZEjR1iwYEGh55lu3boVe3t7JbhZoFOnTiQkJChngT4uKyuLgwcP0qpVK40EQY+7desWo0ePpmzZsqxevZqyZcuq3T958iSXL1+mY8eOauWWlpZYW1tz+vRpjT5TU1P56KOPSE1NZc2aNc909mhxqlSpQkpKinJdsDW9YKv64xITE5VvVgghhBBCCCGEECWXBDjFS7ly5Qp37tyhSZMmNGzYEENDQ3799dfXPa03io6ODlOmTCEhIYGAgIAi6zVq1Ihly5ZRp04dwsLCNO4vXLiQ4OBgpk+fTq9evQrtIykpCZVKpVGek5MDPFpl+aRDhw6Rnp5ebHKhe/fu4ebmRnZ2NmvXri00MHj37l2AQjOa5+bmapQ/fPiQcePGce3aNX744Qdq1apV5PjP6saNG2pJiurVqwfA2bNn1erduXOH27dvU7du3ZceUwghhBBCCCGEEK+XBDjFC3v48CFz5sxBT08PFxcX9PX1GTRoEAcPHuT3338vtP7j24ffJfb29tja2rJx40YePnwIoLbSsEB+fj4qlUpj6/SaNWtYt24d48aNY8SIEUWOY2VlxfHjx7l3755SVpBAqEyZMlhYWGi0CQkJwcDAgM6dOxfaZ0ZGBmPHjuXOnTusXr0aS0vLQusVlO/bt0+t/Pz581y9elUJNhbMafLkyURFRbFs2TKaNGlS5DMlJCQQGxurBGkBkpOTNeqdOXOGixcvqiW5ql27NtbW1vzvf/9TC7AGBgaipaVFt27dihxXCCGEEEIIIYQQJYOcwSmeiUqlIioqCngU8Lp8+TLbt28nLi6OBQsWUL16dQA8PDw4e/YsY8eOZciQIbRu3RpdXV3++usvAgIC6NChQ6Fbq98Fo0ePxsPDg+DgYAYNGkTnzp1xdnamRYsW3L17l8jISDZv3kxMTAxfffWV0u7gwYP4+PgoW713796t1q+Dg4Oytfyjjz7i008/ZcCAAQwYMAB9fX327t3L+fPnmTx5Mrq6umpt79+/z6+//kqXLl00trUXmDp1KtHR0fTr14/Y2FhiY2OVe2XKlFESFzVs2BAHBwd27txJWloaDg4OJCYmsmXLFvT19dUCswsWLODQoUN06NCB+/fvazxT3759lf/+9ttv2blzJ+Hh4cp35urqSr169WjYsCHlypUjOjqaXbt2UaVKFcaNG6fW17Rp0xg/fjxubm707NmTy5cvExAQgIuLCzVr1iz2NxNCCCGEEEIIIcSbTwKc4plkZWUxcOBAAAwNDalevTqtWrXCz89PLUhUunRp1q5dy9atW9mzZw+BgYGoVCree+89+vbtW+zqw7ddly5dsLCwYN26dQwYMICpU6eyb98+QkNDSUpKIjIyEgsLC2bNmsWgQYOUdn/99RcA165dY9q0aRr9btq0SQlw9unTByMjI1avXs3atWtJS0vDysqK2bNn4+rqqtE2LCyMnJycIre8Pz5+UFAQQUFBavfMzc3VMrOvXLmStWvXsm/fPn799Vd0dXWxs7PDw8MDa2trjT4PHz7M4cOHNcZ8PMBZmO7du3P06FF+++03srKyMDY2pkOHDnh7e2ucI9qhQwf8/Pzw8/Njzpw5VKpUiY8//piJEycWO4YQQgghhBBCCCFKBq38/Pz81z0JIZ6m4AzFwENxXIu/95Ta/y1LcyPmeRSfffxpvL29cXJywt7e/hXN6t2SkZHBxYsXqVevHoaGhq97OuINIt+GKI58H6Io8m2I4sj3IYoj34coinwbojjR0dFoaWlhY2PzuqdSYskZnEIIIYQQQgghhBBCiBJLtqiLEsXctMLrnoKGVzEnR0dHzM3NX8FshBBCCCGEEEIIId4tEuAUJcrEQQ6vewqFUqny0dbWeuH2j59jKYQQQgghhBBCCCGenWxRFyVGdnY2mZmZr3sahXqZ4KYQQgghhBBCCCGEeHES4BQliuTEEkIIIYQQQgghhBCPkwCnKFG0tGSlpBBCCCGEEEIIIYT4PxLgFCWGnp4eBgYGr3sahVKpXnxlqbe3NxEREa9wNkIIIYQQQgghhBDvDkkyJEqUFYG/EZ+Q8rqnocbctAITBzkQHBzM9OnTlXIdHR2MjY1xcHDA09MTMzOz5+771q1bBAUFceTIEa5fv462tjZ16tRh/PjxtG7dWqP+uXPn8PX15dy5c2RkZFC9enVcXFwYMmQIOjo6ANy7d4+goCAOHz5MbGwsubm5WFtbM3LkSHr06KHWX3p6OmvXruXPP//k7NmzpKSkMH/+fJydnQud75YtWwgICCAuLg4jIyN69OiBh4cHhoaGSh1fX1/8/PyKfOatW7fSrFmzIu8/+Z4fd/DgQSwsLJ77OYUQQgghhBBCCFFySYDzX1IQxDE1NeXo0aNoa6svlnV1deXMmTM4OTmxYMECpfyXX35h3bp1nDt3jpycHKysrHB2dmbw4MGUKvV/P9eTQR5dXV2qVKlC9+7dmTBhgtpKx44dO/LBBx8wc+ZMtbYnTpygUqVKhc7/8TY3btygU6dOxT7vk88Bj4JNn3zyCS1btmTjxo1PeWPPJj4hhWvx915JX/8Wd3d3qlevTnZ2NlFRUezcuZNTp04RGhpK6dKlNern5uaSnZ1daF/h4eH4+/vj6OiIk5MTubm57N69m1GjRjFv3jz69eun1D137hyurq5YWlry0Ucfoa+vzy+//MLcuXP5559/mDFjBgBRUVF89913tGvXjvHjx1OqVCn279+Pp6cnMTExuLu7K33eu3ePFStWUK1aNd5//30iIyOLfG4fHx/WrFlD165dGT58OLGxsWzZsoWYmBjWrl2r1OvcubMShHzc0qVLycjIwMbG5ukvmf97z/AoAdXNmzcpV66ccv95nlMIIYQQQgghhBAllwQ4/0W6urrcu3ePkydPYm9vr5THx8cTFRWltqoNYN26dSxcuJDOnTuzaNEiDAwM+OWXX1i0aBG///47fn5+GoHSNWvWUK5cOXJycjh79izfffcdKSkpfP3116/sOUxNTdm+fXuh97Zu3cru3btp3769xr2QkBAAIiMjuXPnzgutYCyJ2rVrpwTpXFxcMDIywt/fn/DwcGXlYGpqKvPmzSMsLIyMjAxCQkIwNDSkadOmLF26lPLlywNgb2/P4cOH1QLRgwYNom/fvixfvlwtwFnwG23ZsoWKFSsCjwLpQ4cOZefOnUqAs1atWuzfvx9zc3Ol7eDBgxk5ciT+/v6MGTNG+TZNTU05duwYJiYmnD17lv79+xf6zAkJCWzYsIG+ffuyaNEipdzS0pI5c+Zw6NAhOnbsCEDdunWpW7euWvtbt25x+/ZtXFxc0NPTe+73nJGRwcWLF9UCyM/znEIIIYQQQgghhCi55AzOf5Guri7t2rVj7969auV79+6ldu3aaqvYLly4wOLFi3FycsLPz4+OHTvSqlUrPvvsM2bPnk14eDgBAQEaYzRo0IDGjRvTvHlz3NzccHV15eDBg6/0OfT09GjcuLHGn1KlSrFv3z769+9P9+7d1dqkpaVx5MgRWrdujUqlYt++fa90TiWJnZ0dAHFxcUrZ3LlzCQkJYdSoUTg4OODu7s6kSZNIT08nMzNTqVe7dm2NVbZ6enq0b9+e27dvk5aWppSnpaVRunRpJThawMTEBH19feW6Ro0aakE/eJS8ydHRkezsbLV56unpYWJi8tRnjIqKIjc3l549e6qVFwR0n/w78KTQ0FDy8/Pp3bv3U8d6XFpaGnl5eYXee57nFEIIIYQQQgghRMklAc5/Wa9evdi/fz85OTlKWWhoKL169VKrt3nzZrS0tJg0aZJGH05OTlhaWj7TNu8yZcqQm5v78hN/ivT0dLy8vKhRo4ayMvBxBw4c4OHDh3zyySc0aNBAWc35LoqPjwdQCzweOXIEJycn3N3dMTU1xc7ODjc3N7Zt2/ZMK10TExMxMDBQO4qgRYsWpKWlMXPmTGJjY4mPjycwMJCDBw8yduzYp/aZlJQEgJGR0fM+orLF/skt+AXzO3/+fLHtQ0JCqFq1Ks2bN3/mMYcPH06zZs1o1KgRHh4e3Lp165navcxzCiGEEEIIIYQQ4s0jAc5/WYcOHcjOzua3334DICYmhkuXLmkkOTl58iTvv/++xoozAG1tbTp06EBcXBx37txRu6dSqcjNzSUzM5PIyEh27NhB165d/70H+v/mzJnDzZs3Wbp0aaGZzUNCQjA3N6dp06b07t2b8+fP8/fff//r83oTpKWlkZyczO3bt9m/fz9+fn7o6enRoUMHpY6Ojo7aSs3ncf36dQ4ePEiXLl2UxEEAAwYMYOjQoezatYsePXrQsWNH5syZwxdffMGIESOK7fP+/fvs2LEDOzs7TE1Nn3tOVlZWAJw+fVqt/I8//gDQ+G4fd+XKFS5dukTPnj3R0tJ66lj6+vo4Ozsza9YsVqxYwZgxY4iMjOSrr77i9u3bxbZ92ecUQgghhBBCCCHEm0fO4PyXGRgY0LFjR/bu3csHH3xAaGgoTZo0oUaNGmr17ty5w/vvv19kP1WrVgXg9u3baiv8HBwc1Oq1aNGiyAzTr0poaCg7d+7kyy+/1DhLER6tLoyIiGD06NFoaWnRo0cPFi1aREhICB4eHv/q3N4EI0eOVLs2NzfHx8eHKlWqKGXOzs74+/uTk5NDfHw8CQkJz9R3ZmYmHh4e6Ovr4+XlpXZPR0eHGjVq0KZNG7p164aenh579+7lm2++wcTEBEdHx0L7VKlUTJ06lQcPHvDll18+38P+fw0aNKBRo0b4+/tjZmaGvb09sbGxzJ49G11dXR4+fFhk24LVvc+6Pb1Hjx5q/weBo6MjzZs3Z/To0axZs4Z58+YV2u5VPKcQQgghhBBCCCHePBLg/A/06tULLy8vsrKy2LdvH8OGDXtlfW/YsIGyZcuSl5dHTEwMy5cv55NPPmHt2rUaCYlehbi4OGbNmkXHjh0ZOnRooXX27dtHXl6esg3fzMyM5s2bExoa+k4EOGfOnImVlRWpqakEBQVx8uRJjcQ5np6emJubs2PHDi5cuMDUqVNZsGABo0aNws3NrdDfLi8vT8kAXhBIfNzq1avZtGkT+/fvp0yZMsCjYOCwYcOYPXs2H3zwAaVKaf6VnzNnDr/++isLFy4sNGD9rHx9fZk8eTKff/458CjgOnLkSE6ePMnVq1cLbZOfn09oaCh16tR5qbGbNGlCzZo1i83y/qqeUwghhBBCCCGEEG8WCXD+B9q0aYOuri7Lli3jxo0bGgl54FEQsLgzBAvuPb4KEOD9999XktA0btyY8uXLM2nSJI4ePaq2JfpVyM3NZerUqZQpU6bIVXLwaEWelZUVVatW5cGDBwB07NiR+fPn8+eff9KoUaNXOq83ja2trZLd29HRkcGDB+Pl5UVYWJgSeNTW1sbV1RVXV1e8vb2xtrbm/Pnz+Pj4oFKpCj0zc8aMGRw5coTFixfTqlUrjftbt27F3t5eGaNAp06dmD9/PvHx8bz33ntq9/z8/Ni6dSteXl58+OGHL/XcZmZmBAYGcu3aNZKSknjvvfcwMTGhTZs2WFpaFtrm1KlTxMfHa6xGfRHGxsZcvHix0Huv8jmFEEIIIYQQQgjxZpEzOP8Durq6dOnShQ0bNtCyZUsqV66sUad58+Zcvny50CBnfn4+R48epUaNGk9NQFOzZk3g0bmGr5qvry/R0dEsXry4yAQt169f5+zZs1y9epXmzZsrf+bPnw/wziUb0tHRYcqUKSQkJBAQEFBkvUaNGrFs2TLq1KlDWFiYxv2FCxcSHBzM9OnTNRJUFUhKSkKlUmmUFyS4ejL5VEBAAL6+vowYMeKZkhA9K0tLS+zs7DAxMSEmJobExERat25daN2QkBC0tLSKfKbnkZCQUOh3+W89pxBCCCGEEEIIId4MEuD8j7i4uNChQweGDx9e6P1hw4ahUqlYvny5xr3du3fz999/a5ztWJjLly8Drz5DdEREBKtXr2bcuHG0aNGiyHoFAasVK1awadMmtT9t2rRRtq+/S+zt7bG1tWXjxo3KWZQpKSka9fLz81GpVOjr66uVr1mzhnXr1jFu3LhikwVZWVlx/Phx7t27p5Tl5eXx008/UaZMGSwsLJTyffv28c0339C7d+9/7cxWlUqFj48PBgYGuLq6atzPyckhLCyMZs2aUa1atUL7SEhIIDY2VgnSAiQnJ2vU+/XXX7l69apGIPW/eE4hhBBCCCGEEEK8XrJF/T9ia2vLypUri7xfv359pk6dysKFC0lLS8PZ2Rl9fX2OHTvGxo0b6dSpE4MHD9Zod/78ecqVK0dubi5///03y5cvp3LlynTu3Pmpczp8+LDGdubatWsrq0AL3L9/n08//ZSqVavSpk0boqKiNPrS09Ojfv36hIaGYmdnV2hCm7S0NCZMmMDx48dp27btU+f3Nhk9ejQeHh4EBwczaNAgOnfujLOzMy1atODu3btERkayefNmYmJi+Oqrr5R2Bw8exMfHB0tLS6ytrdm9e7davw4ODsqK4I8++ohPP/2UAQMGMGDAAPT19dm7dy/nz59n8uTJ6OrqAhAdHc20adOoWLEirVq1Ys+ePWp9Nm3aVC0J1pYtW3jw4IGSCOnw4cNKtvJhw4ZRrlw5AL755huys7OpW7cuubm5hIaGEh0dzYIFCwoNYB47doz79+8Xm1zo22+/ZefOnYSHh1O9enUAXF1dqVevHg0bNqRcuXJcuHCBoKAgjI2NGT16tNL2eZ9TCCGEEEIIIYQQJZMEON8gbm5u1KxZk/Xr1zN16lRycnKwsrJi2rRpDB48uNDEM2PGjAEeneloZmZGy5Yt8fDwoGLFik8dryAZzOM8PDyYMGGCWtmlS5e4c+cOQKFBVniUKXz58uVcvXpVLcj0uHbt2lGpUiVCQkLeuQBnly5dsLCwYN26dQwYMICpU6eyb98+QkNDSUpKIjIyEgsLC2bNmsWgQYOUdn/99RcA165dY9q0aRr9btq0SQlw9unTByMjI1avXs3atWtJS0vDysqK2bNnq62gjImJIScnh+Tk5EK/gfnz56sF/tatW0d8fLxyfeDAAQ4cOKCMWRDgrF+/Phs3blRW8dra2irHMhQmJCQEXV1dunXr9szvEaB79+4cPXqU3377jaysLExMTHBycqJjx44YGxu/8HMKIYQQQgghhBCiZNLKz8/Pf92TEOJpzp49C0DgoTiuxd97Su3/lqW5EfM8erxwe29vb5ycnLC3t3+Fs3q3ZGRkcPHiRerVq4ehoeHrno54g8i3IYoj34coinwbojjyfYjiyPchiiLfhihOdHQ0WlpaSsJi8fzkDE4hhBBCCCGEEEIIIUSJJVvURYliblrhdU9Bw8vOydHREXNz81c0GyGEEEIIIYQQQoh3iwQ4RYkycZDD655CoVSqfLS1tV6obWEJmYQQQgghhBBCCCHEs5Et6qLEyM7OJjMz83VPo1AvGtwUQgghhBBCCCGEEC9HApyiRJGcWEIIIYQQQgghhBDicRLgFCWKlpaslBRCCCGEEEIIIYQQ/0cCnKLE0NPTw8DA4D8fV6V6uVWj3t7eREREvKLZCCGEEEIIIYQQQojHSZIhUaKsCPyN+ISU/2w8c9MKSmKj4OBgpk+frtzT0dHB2NgYBwcHPD09MTMze+7+b926RVBQEEeOHOH69etoa2tTp04dxo8fT+vWrdXqnjhxgj179nD69Glu375N5cqVadmyJR4eHpiamqrVPXbsGPv27SM6OprY2FiqVq3KoUOHipzHP//8w7Jlyzh+/Djp6elUqVKF7t274+npqVZvy5YtBAQEEBcXh5GRET169MDDwwNDQ0O1egkJCfj6+vLbb7+RlJSEqakpnTp1Yty4cRgZGT31vfz222/4+flx4cIF9PT0aNWqFdOmTaN69epq9ebNm8fJkye5ceMGWVlZmJub07NnT9zc3ChTpsxTxxFCCCGEEEIIIUTJJwFOUaLEJ6RwLf7ea52Du7s71atXJzs7m6ioKHbu3MmpU6cIDQ2ldOnSGvVzc3PJzs4utK/w8HD8/f1xdHTEycmJ3Nxcdu/ezahRo5g3bx79+vVT6vr4+JCSkkK3bt2wtLQkLi6OLVu2cOTIEXbt2oWJiYlSNzQ0lH379lG/fn2N4OeTLl68yLBhwzAzM2PUqFEYGRlx8+ZNbt++rVbPx8eHNWvW0LVrV4YPH05sbCxbtmwhJiaGtWvXKvXS09NxdXUlIyODwYMHU7VqVf766y8CAgKIiIggODgYbe2iF48fPnyYCRMmUL9+fby8vEhLS2PTpk0MHjyYXbt2UalSJaXu2bNnadasGb169SI5OZmUlBRWr17N8ePHCQgIKHYcIYQQQgghhBBCvB0kwPkO8/X1xc/PT7k2MjKiTp06uLu7Y2dnR0REBMOHDwdg37591KxZU6390qVL+eGHHzA3N1dWB964cYNOnTopdbS0tDAxMaFFixZMmTIFc3Pz/+DJ/l3t2rXDxsYGABcXF4yMjPD39yc8PJwePXoAkJqayrx58wgLCyMjI4OQkBAMDQ1p2rQpS5cupXz58gDY29tz+PBhtaDdoEGD6Nu3L8uXL1cLcE6fPp1mzZqpBe3atm3L0KFD2bJli9pqS09PT+bMmYOuri4ff/wxV65cKfRZVCoV06ZNw9ramk2bNqGvr19ovYSEBDZs2EDfvn1ZtGiRUm5pacmcOXM4dOgQHTt2BODQoUPEx8ezatUqPvjgA6VuhQoVWLFiBX/99Rf169cv8v0uXryYGjVqEBgYiJ6eHgAdO3bEycmJ1atX4+3trdQNDAwEICMjg4sXL1KvXj2sra1ZuHAh0dHRNG7cuMhxhBBCCCGEEEII8XaQ5U3vOH19fbZv38727dv56quvuH//PiNHjuTy5ctKHUNDQ/bt26fRdu/evRpbkwtMmTKF7du3s3XrVry8vDhz5gxjx44lLy/vX3uW18XOzg6AuLg4pWzu3LmEhIQwatQoHBwccHd3Z9KkSaSnp5OZmanUq127tlpwEx6dNdq+fXtu375NWlqaUt68eXONFYnNmzenYsWK/P3332rlZmZm6OrqPnXux44d4/Lly0ycOBF9fX0yMzML/Y2ioqLIzc2lZ8+eauUFAd29e/cqZQVzNjY2VqtbsMK0sFWuBe7fv09MTAyOjo5KcBOgbt261KxZU22cohQE0R88ePDUukIIIYQQQgghhCj5JMD5jtPW1qZx48Y0btyYbt268cMPP5Cbm8u2bduUOp06dSI0NFSt3Z9//snNmzeVVXtPeu+992jcuDFNmzblww8/5PPPPycmJoarV6/+q8/zOsTHxwMoqzIBjhw5gpOTE+7u7piammJnZ4ebmxvbtm17prM6ExMTMTAweGpSpfT0dNLT05/pXMvCnDhxAngUVHV2dqZx48Y0atQIT09P7t+/r9Qr2GL/ZHCyYH7nz59XygoCsXPnziUqKorbt29z9OhRfvjhBxwdHTVWAj+uYJzCVpLq6+uTkJBAYmKiWnlubi737t3j3r17nDhxgu+++44yZcpga2v7HG9CCCGEEEIIIYQQJZVsURdqqlWrRqVKlbhx44ZS1r17d/bu3cv58+dp0KABACEhIbRq1Upj9WFRChK+5ObmvvpJ/8fS0tJITk4mOzubP//8Ez8/P/T09OjQoYNSR0dHR22l5vO4fv06Bw8epFu3bujo6BRbd+PGjeTk5NC9e/cXGuvatWsATJ48mbZt2/Lxxx/z119/sXr1am7dukVgYCBaWlpYWVkBcPr0aVq2bKm0/+OPPwC4c+eOUlarVi2+/vprFi1axMCBA5VyJycnvvnmm2LnU7lyZcqXL8/p06fVyu/du0dsbKwy1uPnjZ47d05tHCsrK77//nsqVqz4HG9CCCGEEEIIIYQQJZUEOIWatLQ07t+/r5aYxtTUlObNmxMaGkqDBg1QqVSEhYUxZcoULl68WGg/KpWK3NxcVCoVcXFx+Pn5YW1tTe3atf+rR/nXjBw5Uu3a3NwcHx8fqlSpopQ5Ozvj7+9PTk4O8fHxJCQkPFPfmZmZeHh4oK+vj5eXV7F1T548yYoVK+jevTutWrV67ueAR2dXAtjY2LB48WIAunbtioGBAUuWLOHEiRO0bt2aBg0a0KhRI/z9/TEzM8Pe3p7Y2Fhmz56Nrq4uDx8+VOvXzMwMW1tb2rVrh7m5OX/88QebN2/GyMiIzz77rMj5aGtrM3DgQPz9/VmyZAn9+vUjLS0NHx8fcnJyAMjKylJrU6tWLb7//nuuXLlCcnIyJ0+eVJ5LCCGEEEIIIYQQbz8JcAplVeXt27dZuHAheXl5dO3aVa1Or169WLlyJdOmTSMiIoIHDx7QpUuXIgOcjye8gUcrQ/39/Z+6IrEkmDlzJlZWVqSmphIUFMTJkyfVzouER89vbm7Ojh07uHDhAlOnTmXBggWMGjUKNze3QrN75+Xl4enpSUxMjBJILEpsbCyffPIJtWvXfuqqyOIUbAXv1auXWnmvXr1YsmQJp0+fpnXr1sCjpFSTJ0/m888/Bx6tUh05ciQnT55UO3rg1KlTjBs3ju3btyvJmBwdHSlbtix+fn7069ePWrVqFTknd3d37t27x5o1a1i9ejUAbdq0oV+/fmzbtk1ZDVygbNmytGzZkgoVKlCvXj3Cw8OZMGECO3fupG7dui/8boQQQgghhBBCCFEyyBmc77iMjAwaNGhAgwYN6NSpExEREcycOZO2bduq1evSpQtJSUmcOnWK0NBQ2rdvT9myZYvsd+rUqfz444/s2LGDFStWYGpqypgxY9S2MpdUtra2tG7dmq5du/L9999Tp04dvLy8SE9PV+poa2vj6upKUFAQffv2xcvLCzs7O3x8fFizZk2h/c6YMYMjR46wYMGCYldk3rp1i9GjR1O2bFlWr15d7O/wNAUrdZ9MCFRw/XiiHjMzMwIDA9m/fz8BAQEcPXqUadOmcevWLSwtLZV627dvx9jYWAluFujYsSP5+fmcOXOm2Dnp6ekxd+5cfv31VwICAggLC2Pt2rWkpaWhra2NhYVFse27dOkC8EwJiYQQQgghhBBCCFHySYDzHaevr8+PP/5IUFAQhw4d4vfff2fIkCEa9SpWrEibNm3YuXMnBw4c0Fjx96QaNWpgY2ODra0tjo6OfP/999y5c4cNGzb8S0/yeujo6DBlyhQSEhIICAgosl6jRo1YtmwZderUISwsTOP+woULCQ4OZvr06cW+23v37uHm5kZ2djZr165VO0rgRRScqfpk4LlgS31hZ6xaWlpiZ2eHiYkJMTExJCYmKqs8Ae7evYtKpdJoV7BS+FnPYa1cuTJ2dnZYWVmRl5dHREQEjRo10ljB+aTs7GxUKhWpqanPNI4QQgghhBBCCCFKNglwvuO0tbWxsbGhYcOGmJubF7p1ukDPnj0JDg5GpVLxwQcfPNc4lSpVwsjIiCtXrrzkjN889vb22NrasnHjRuUsypSUFI16+fn5qFQqjQzha9asYd26dYwbN44RI0YUOU5GRgZjx47lzp07rF69Wm3V5Ivq1KkTenp6yu9aYMeOHQBqgcsnqVQqfHx8MDAwwNXVVSm3tLQkKSmJiIgItfqhoaEA1K9fXylLSEggNjZWOV+zKGvXriUxMZFRo0YpZQ8ePCi0XcHcGzZsWGyfQgghhBBCCCGEeDvIGZzimXXq1IlOnTpha2tL6dKln6ttUlIS9+7dw8jI6F+a3es1evRoPDw8CA4OZtCgQXTu3BlnZ2datGjB3bt3iYyMZPPmzcTExPDVV18p7Q4ePIiPjw+WlpZYW1uze/dutX4dHByoXLky8Gjbf3R0NP369SM2NlbJKg6PstQ7Ojoq13/99ReHDh0CHmVlT01NZeXKlQDUrVuXjh07AmBiYsK4ceNYvnw5Y8aMoVOnTly6dIn//e9/9OrVC1tbW6XPb775huzsbOrWrUtubi6hoaFER0ezYMECqlWrptQbMmQIwcHBjBs3jmHDhlGtWjVOnjxJaGgoDg4ONGrUSKn77bffsnPnTsLDw6levToAu3fv5sCBAzRv3hxDQ0OOHz/OTz/9hIuLi9rZsJGRkXzzzTd07dqVqlWrcuPGDdauXcuhQ4do2LAhffr0ebEfUwghhBBCCCGEECWKBDjFMzM0NMTPz++Z6l6/fp2oqCjy8/O5c+cOa9euRUtLiwEDBvzLs3w9unTpgoWFBevWrWPAgAFMnTqVffv2ERoaSlJSEpGRkVhYWDBr1iwGDRqktPvrr78AuHbtGtOmTdPod9OmTUqAs6BuUFAQQUFBavXMzc3VApwXLlxg2bJlanUKrp2cnJQAJ8CECROoUKECmzdvZv78+VSuXJlx48YxceJEtfb169dn48aNhISEoKWlha2tLRs2bKBly5Zq9aytrQkKCuK7775jz549JCUlYWpqipubG+7u7k99l1ZWVqSkpLBy5UqysrKwsrJi9uzZDBw4UK1enTp1sLe3Jzw8nMTERPLy8rCwsGDixImMHj1aI/GTEEIIIYQQQggh3k5a+fn5+a97EuL18PX1Zd26dUUmfYmIiGD48OH8+OOPGgljCsydO5fw8HBlteCNGzfo1KmTWh0jIyPq1q3LxIkTad68+QvN9ezZswAEHorjWvy9F+rjRViaGzHPo8dL9eHt7Y2TkxP29vavaFbiSRkZGVy8eJF69ephaGj4uqcj3iDybYjiyPchiiLfhiiOfB+iOPJ9iKLItyGKEx0djZaWVpGxF/F0soLzHTZp0iQmTZpU5H17e3suXbpUbB9ffPEFX3zxhXJdvXr1p7YRQgghhBBCCCGEEOJVkQCnKFHMTSuUuPEcHR0xNzd/BbMRQgghhBBCCCGEEE+SAKcoUSYOcvjPx1Sp8tHW1nrh9o+fjSmEEEIIIYQQQgghXi3t1z0BIZ5VdnY2mZmZ//m4LxPcFEIIIYQQQgghhBD/LglwihJFcmIJIYQQQgghhBBCiMdJgFOUKFpasppSCCGEEEIIIYQQQvwfCXCKEkNPTw8DA4P/bDyV6uVWi3p7exMREfGKZiOEEEIIIYQQQgghCiNJhkSJsiLwN+ITUv71ccxNKygJjYKDg5k+fbpyT0dHB2NjYxwcHPD09MTMzOy5+7916xZBQUEcOXKE69evo62tTZ06dRg/fjytW7fWqP/gwQN8fHw4ePAgWVlZ2NjY4O3tTYMGDZQ6ERERDB8+vMgxJ0+ezPjx4wu9N2PGDHbs2MEHH3zAqlWrlPJ79+4RFBTE4cOHiY2NJTc3F2tra0aOHEmPHj0K7ev8+fP4+vpy+vRpHj58SI0aNRgwYECxcwP4+++/2bZtG9HR0Zw/f57s7GzCw8OpXr26Rt2HDx+yYcMGdu/eTXx8POXKlcPKyopp06ZhY2NT7DhCCCGEEEIIIYR4u0iAU5Qo8QkpXIu/91rGdnd3p3r16mRnZxMVFcXOnTs5deoUoaGhlC5dWqN+bm4u2dnZhfYVHh6Ov78/jo6OODk5kZuby+7duxk1ahTz5s2jX79+Sl2VSsXYsWO5dOkSo0ePxsjIiK1btzJs2DCCg4OxtLQEoGbNmixatEhjrD179nDs2DEcHArPQH/27Fl27txZ6DNERUXx3Xff0a5dO8aPH0+pUqXYv38/np6exMTE4O7urlb/2LFjjBs3jvr16zNhwgQMDQ35559/uH37dpHv9fGxNm/eTK1atahZsyYXL14ssu7UqVM5dOgQLi4uNGjQgBs3brB161ZGjBhBSEgI5ubmTx1PCCGEEEIIIYQQbwcJcL6lfH198fPzU64rVqyItbU148aNo3379kp5x44diY+PL7SPY8eOYWJiorEy0MDAAGNjY2xtbenfv79G4OzJsR/n5eXF2LFjX+bRXpt27dopqwNdXFwwMjLC39+f8PBwZTVjamoq8+bNIywsjIyMDEJCQjA0NKRp06YsXbqU8uXLA2Bvb8/hw4epVKmS0v+gQYPo27cvy5cvVwtwhoWFcebMGZYtW0a3bt0A6N69O127dsXX15clS5YAULlyZfr27asx7xUrVmBpaYmtra3Gvfz8fObOnUvfvn35/fffNe7XqlWL/fv3qwUMBw8ezMiRI/H392fMmDEYGhoCkJaWxmeffcYHH3zA8uXL0dZ+vhMwOnbsyMmTJylbtixr164tMsB5584dDhw4gJubG5999hkAGRkZGBsbM3fuXA4ePMjIkSOfa2whhBBCCCGEEEKUXBLgfIvp6+uzceNGABISEvjhhx8YN24cAQEBNG3aVKnXtWtX3NzcNNpXrFhR7Xr+/PlYW1vz8OFD4uLi2Lt3L25ubgwePJhZs2YVOfbjqlat+gqe7M1gZ2eHv78/cXFxStncuXMJDQ1l7NixREVF0axZMwwMDDhw4ACZmZlKgLN27doa/enp6dG+fXvWr19PWloaZcuWBWD//v1UrlyZLl26KHUrVapE9+7d2bNnD9nZ2ejp6RU6x+joaK5fv86kSZMKvb97924uX76Mr68vAwcO1Lhfo0YNjTItLS0cHR35/fffiYuL4/333wcgJCSEpKQkPD090dbWJiMjA319/WcOdD75vRUlLS0NeBTQLax9YStRhRBCCCGEEEII8faSAOdbTFtbm8aNGyvXjRo1on379uzatUstwFm5cmW1ekWpXbu2soLR3t6e/v378+2337Jq1SqaNGlCnz59ihz7bVSw8rUgaAlw5MgRnJyccHd3x9vbGzs7O+zt7QsNIBcmMTERAwMDtWRKFy9epH79+hqBQhsbG7Zv387Vq1eVIOOT9uzZA0Dv3r017qWlpbF48WLGjRuHiYnJM82vQFJSEgBGRkZK2YkTJyhbtix37txhwoQJXLt2DUNDQ/r06cPnn3/+ygKPFhYWVKlShfXr12NlZUX9+vX5559/WLduHebm5vTs2fOVjCOEEEIIIYQQQoiSQbKov0PMzMyoVKkSN2/efGV9uru7Y2JiwtatW19Zn2+qtLQ0kpOTuX37Nvv378fPzw89PT06dOig1NHR0SEzM/OF+r9+/ToHDx6kS5cu6OjoKOWJiYmFBiBNTU2BR6tzC5OXl8dPP/2Era0t7733nsb9FStWULp06efezn3//n127NiBnZ2dMgeAa9eukZeXx4QJE2jbti2+vr7069ePbdu2qSVpelm6urr4+vpiYGDA+PHjad++PcOGDSMrK4sNGzaoBZyFEEIIIYQQQgjx9pMVnO+Q9PR0UlJSNLJS5+fnk5ubq1ampaWlFmQrSqlSpWjZsiVhYWHk5OSgq6ur3Huyz4L6JdWTgUBzc3N8fHyoUqWKUubs7Iy/vz85OTnEx8cXGXx8UmZmJh4eHujr6+Pl5aV2Lysrq9At6AVlDx8+LLTPEydOkJSUxMcff6xx7+rVq2zevJklS5YUub29MCqViqlTp/LgwQO+/PJLtXsZGRlkZmbi6urKjBkzAOjSpQvZ2dls374dd3d3JSHSyypfvjz16tWjW7duNGrUiJiYGPz9/Zk2bRobN26UbepCCCGEEEIIIcQ7pORGm8QzKQgyJiQk4OPjQ5kyZdQSBgFs3bpVYwWmhYUFBw8efKYxqlatSk5ODikpKcq5iBkZGTRo0ECjbkBAAHZ2di/yKK/dzJkzsbKyIjU1laCgIE6ePKkRHPT09MTc3JwdO3Zw4cIFpk6dyoIFCxg1ahRubm6FnkeZl5enZCX39/fHzMxM7b6+vn6h2dgLyooK5oWEhKCjo6MkQHrc3LlzadKkCV27dn3m5weYM2cOv/76KwsXLqRu3boa8wTo1auXWnnv3r3Zvn07UVFRryTAmZqaypAhQxg9erSy9b9169aULVuWOXPmEBQUxODBg196HCGEEEIIIYQQQpQMEuB8iz0ZZNTR0WHlypVYW1ur1evevTujR49WK3ueFXD5+fnAo1WfBfT19dmyZYtG3SfHLklsbW2VM0gdHR0ZPHgwXl5ehIWFUaZMGeDR2aOurq64urri7e2NtbU158+fx8fHB5VKVWgG+RkzZnDkyBEWL15Mq1atNO6bmJiQmJioUV6wOvTxbeIFsrKyOHjwIK1atdJIxnPixAl+/fVX/Pz8uHHjhlKem5tLVlYWN27coGLFikqSowJ+fn5s3boVLy8vPvzwQ40xTU1NuXLlCsbGxmrlBZniU1JSNNq8iP3795OUlETHjh3VyuvVq0fZsmU5ffq0BDiFEEIIIYQQQoh3iAQ432IFQcb8/HyuXbvGkiVL+OyzzwgJCVELilWqVEkJ3L2I27dvo6urS4UKFZQybW3tl+rzTaejo8OUKVMYPnw4AQEBhQYu4VFip7Fjx9K7d2/CwsI06i1cuJDg4GA+//xzjZWPBerWrcupU6dQqVRqK0Cjo6MxMDDAyspKo82hQ4dIT08vNLnQrVu3APjkk0807t25c4dOnToxffp0tS35AQEB+Pr6MmLEiCKftUGDBvz222/cuXNHLZBdEIgtCHS+rLt37wKPVr4+Lj8/n7y8PI1yIYQQQgghhBBCvN0kydBbrCDIaGtrS58+ffDz8+PBgwesWLHilY2Rm5vL77//jo2NTYk+X/NF2NvbY2try8aNG5VzMAtbpZifn49KpVK2cBdYs2YN69atY9y4cYwYMaLIcbp160ZSUhIHDhxQypKTkwkLC6NDhw6FnqEZEhKCgYEBnTt31rjXsmVLVqxYofGnUqVKNGzYkBUrVqitjty3bx/ffPMNvXv3LjZZUPfu3QH48ccf1cp//PFHSpUqRYsWLZSymzdvEhsbW2RfxSnY5r5v3z618lOnTpGZmUm9evVeqF8hhBBCCCGEEEKUTO9WROodZ2NjQ8+ePQkODuaTTz4pNDP381q+fDmJiYmvNEt2STJ69Gg8PDwIDg5m0KBBdO7cGWdnZ1q0aMHdu3eJjIxk8+bNxMTE8NVXXyntDh48iI+PD5aWllhbW7N79261fh0cHJSt5V27dqVx48ZMnz6dmJgYjIyMCAwMJC8vj0mTJmnM6f79+/z666906dJF2Tr/uGrVqlGtWjWN8nnz5lG5cmUcHR2VsujoaKZNm0bFihVp1aoVe/bsUWvTtGlTatSoAUD9+vXp168fQUFB5OXl0bx5cyIjIwkLC+Pjjz9WO1v0s88+IzIykkuXLillqampbN68GYDTp08Dj1aOlitXjvLlyzN06FAAOnToQO3atVmxYgU3b96kUaNGxMbGEhgYSOXKlenfv38hv5QQQgghhBBCCCHeVhLgfMdMmDCBffv2sXHjRqZOnQpAUlISUVFRGnVr1aqldg7jlStXyMvLIzs7m7i4OEJDQzl+/DjDhg2jZ8+eam1VKlWhfRobGysBsbdBly5dsLCwYN26dQwYMICpU6eyb98+QkNDSUpKIjIyEgsLC2bNmsWgQYOUdn/99RcA165dY9q0aRr9btq0SQlw6ujosHr1ahYtWsTmzZt5+PAhNjY2zJ8/v9AzTQsy2he15f15xMTEkJOTQ3JyMp9//rnG/fnz56v9nrNnz6ZatWoEBwfz888/U61aNY3t7kVJSUlh2bJlamXr1q0DHmWsLwhw6unpERAQwMqVKzly5AihoaEYGhpiZ2fHF1988cq2wgshhBBCCCGEEKJk0MovyBAj3iq+vr6sW7eOM2fOaNybOnUqhw8f5siRI/Tt25f4+PhC+yjIeB4REaGWeV1fXx9jY2MaNWqEi4sLrVu31hjbz8+v0D779+/P3Llzn/t5zp49C0DgoTiuxd977vbPy9LciHkemtnHn4e3tzdOTk7Y29u/olmJomRkZHDx4kXq1auHoaHh656OeIPItyGKI9+HKIp8G6I48n2I4sj3IYoi34YoTnR0NFpaWm91LpN/m6zgfEtNmjSp0O3LAIsXL1b++9ChQ0/ty97eXm0r8cuMLYQQQgghhBBCCCHEqyQBTlGimJtWeHqlN2QcR0dHzM3NX8FshBBCCCGEEEIIIURRJMApSpSJgxz+s7FUqny0tbVeuP3jyXqEEEIIIYQQQgghxL9D+3VPQIhnlZ2dTWZm5n823ssEN4UQQgghhBBCCCHEf0MCnKJEkZxYQgghhBBCCCGEEOJxEuAUQgghhBBCCCGEEEKUWBLgFCWKlpZsGxdCCCGEEEIIIYQQ/0cCnKLE0NPTw8DA4D8bT6V6ue3w3t7eREREvKLZCCGEEEIIIYQQQojCSBZ1UaKsCPyN+ISUf30cc9MKSsb24OBgpk+frtzT0dHB2NgYBwcHPD09MTMze+7+b926RVBQEEeOHOH69etoa2tTp04dxo8fT+vWrTXqP3jwAB8fHw4ePEhWVhY2NjZ4e3vToEEDtXrz5s3j5MmTxMfH8/DhQ6pVq0aPHj1wc3OjTJkyanXPnTvH0qVLOXPmDPn5+TRp0oRPP/2UevXqFTnvBw8e0LVrV5KTk1m2bBndunXTqHP+/Hl8fX05ffo0Dx8+pEaNGgwYMIDhw4cX+04OHDjAvn37OHv2LElJSVSpUoUOHTowYcIEypcvr1b34cOHbNiwgd27dxMfH0+5cuWwsrJi2rRp2NjYFDuOEEIIIYQQQggh3i4S4BT4+vri5+enXBsZGVGnTh3c3d2xs7MjIiJCLThlYGCAsbExtra29O/fHwcHB+Xe+++//9Tx5s+fj7Oz8wvNNT4hhWvx916o7ctyd3enevXqZGdnExUVxc6dOzl16hShoaGULl1ao35ubi7Z2dmF9hUeHo6/vz+Ojo44OTmRm5vL7t27GTVqFPPmzaNfv35KXZVKxdixY7l06RKjR4/GyMiIrVu3MmzYMIKDg7G0tFTqnj17lmbNmuHs7Ezp0qW5cOECq1ev5vjx4wQEBKCt/WjR9vnz5xk8eDBVq1blk08+QaVSsXXrVoYOHcqOHTuwtrYudN7Lly8nKyuryHd07Ngxxo0bR/369ZkwYQKGhob8888/3L59+6nv98svv8TU1JQ+ffpQrVo1Ll26xJYtWzh69Cg7d+5EX19fqTt16lQOHTqEi4sLDRo04MaNG2zdupURI0YQEhKCubn5U8cTQgghhBBCCCHE20ECnAIAfX19Nm7cCMDt27dZuXIlI0eOJDg4WKkzf/58rK2tefjwIXFxcezduxc3NzcGDx7MrFmzANi+fbtavwMHDmTYsGH06tVLKbOwsPgPnujVa9eunbI60MXFBSMjI/z9/QkPD6dHjx4ApKamMm/ePMLCwsjIyCAkJARDQ0OaNm3K0qVLlZWI9vb2HD58mEqVKin9Dxo0iL59+7J8+XK1AGdYWBhnzpxRWzHZvXt3unbtiq+vL0uWLFHqBgYGaszbwsKChQsXEh0dTePGjQFYtmwZ+vr6bNu2DSMjIwD69OlD165dWbp0Kb6+vhr9XL58mcDAQCZMmMDy5cs17qelpfHZZ5/xwQcfsHz5ciWY+qyWL1+Ovb29WlnDhg357LPPCAkJwcXFBYA7d+5w4MAB3Nzc+OyzzwDIyMjA2NiYuXPncvDgQUaOHPlcYwshhBBCCCGEEKLkkgCnAEBbW1sJfgHY2trSsWNHtm3bRteuXQGoXbu2EuCzt7enf//+fPvtt6xatYomTZrQp08ftT4KVK1atdDyks7Ozg5/f3/i4uKUsrlz5xIaGsrYsWOJioqiWbNmGBgYcODAATIzM5UAZ+3atTX609PTo3379qxfv560tDTKli0LwP79+6lcuTJdunRR6laqVInu3buzZ88esrOz0dPTK3KeBasZHzx4oJT98ccftG3bVgluApiamtKiRQsOHz5Menq6xpb2uXPn4ujoiJ2dXaHjhISEkJSUhKenJ9ra2mRkZKCvr//Mgc4ng5sAjo6OAMTGxiplaWlpAFSuXFmtbsWKFQEKXU0rhBBCCCGEEEKIt5ckGRKFqlatGpUqVeLGjRvF1nN3d8fExIStW7f+RzN7c8THxwOonQ955MgRnJyccHd3x9TUFDs7O9zc3Ni2bdszndWZmJiIgYGBWjKlixcvUr9+fY1AoY2NDZmZmVy9elWtPDc3l+TkZO7cucOxY8f47rvvKFOmDLa2tkqd7OxstS3fBfT19cnJyeHKlStq5T/99BNnzpzh008/LXLuJ06coGzZsty5c4euXbvSpEkTmjVrxqxZs3j48OFTn70wSUlJAGqBWAsLC6pUqcL69es5dOgQt2/f5ty5c6xbtw5zc3N69uz5QmMJIYQQQgghhBCiZJIVnKJQaWlp3L9/H1NT02LrlSpVipYtWxIWFkZOTg66urr/0Qz/e2lpaSQnJ5Odnc2ff/6Jn58fenp6dOjQQamjo6NDZmbmC/V//fp1Dh48SLdu3dDR0VHKExMTC101WfDbJCQkqJ19eu7cOQYOHKhcW1lZ8f333ysrHAvKoqKiyMvLU8bKzs4mOjoaeLQNvEBWVhaLFi1i5MiRVK9eXQnsPunatWvk5eUxYcIE+vfvj5eXF5GRkWzevJnU1FS+/fbb534n/v7+6OjoKKuIAXR1dfH19cXLy4vx48erPdOGDRs0EhIJIYQQQgghhBDi7SYBTqHIzc0FHp3BuXDhQvLy8tQCS0WpWrUqOTk5pKSkaGwbfps8ea6jubk5Pj4+VKlSRSlzdnbG39+fnJwc4uPjSUhIeKa+MzMz8fDwQF9fHy8vL7V7WVlZhW5BLyh7cnVkrVq1WL9+PRkZGZw5c4YTJ06QkZGhVmfw4MF89dVXfPHFF4wZMwaVSsX3339PYmKiMmaB1atXk5OTw8cff1zsM2RkZJCZmYmrqyszZswAoEuXLmRnZ7N9+3bc3d3VEiI9TUhICD/++CNjxozRaFe+fHnq1atHt27daNSoETExMfj7+zNt2jQ2btwo29SFEEIIIYQQQoh3iAQ4BfAoONWgQQPlukKFCsycOZO2bdsSERFRbNv8/HwAtLS0/tU5vm4zZ87EysqK1NRUgoKCOHnypEbg0dPTE3Nzc3bs2MGFCxeYOnUqCxYsYNSoUbi5uRV6HmVeXh6enp5KkO7Jrez6+vqFZmMvKHsymFe2bFlat24NPDrDMiQkhAkTJrBz507q1q0LPEpodPv2bdauXcvOnTuBRwl9Ro8ezQ8//KCcv3njxg3Wrl3LzJkzNc7kfFLBlvfHE0oB9O7dm+3btxMVFfXMAc4//viDL774gjZt2uDp6al2LzU1lSFDhjB69Gjc3NwAaN26NWXLlmXOnDkEBQUxePDgZxpHCCGEEEIIIYQQJZ8EOAXwKDi1ZcsWtLS0MDIyomrVqs+cHOb27dvo6upSoUKFf3mWr5etra2SZMnR0ZHBgwfj5eVFWFiYEvzT1tbG1dUVV1dXvL29sba25vz58/j4+KBSqRg7dqxGvzNmzODIkSMsXryYVq1aadw3MTFRVlY+rmB16NOOEejSpQvTpk1j7969SoATHgVj3dzcuHLlCuXKleP9999XtpEXBCKXL1+OmZkZLVq0UM5jLTgXMzk5mRs3blCtWjW0tbUxNTXlypUrGBsbq41fkCk+JSWl2HkW+Ouvvxg/fjy1a9dm+fLllCql/s/U/v37SUpKomPHjmrl9erVo2zZspw+fVoCnEIIIYQQQgghxDtEkgwJ4FFgzsbGhoYNG2Jubv7Mwc3c3Fx+//13bGxsNAJRbzMdHR2mTJlCQkICAQEBRdZr1KgRy5Yto06dOoSFhWncX7hwIcHBwUyfPl1j5WOBunXrcuHCBVQqlVp5dHQ0BgYGWFlZFTvX7OxsVCoVqampGvcqVKiAnZ2dcobn8ePHqVKlCtbW1gDcunWL69ev4+joSKdOnejUqRNTpkwBYPbs2XTq1EnJal6wAvjx8zvh/wKxBYHO4vzzzz+MGTOGSpUq4e/vX+iq0bt37wKPVr4+Lj8/n7y8PI1yIYQQQgghhBBCvN0kwCleyvLly0lMTGTo0KGveyr/OXt7e2xtbdm4caNyDmZhqxTz8/NRqVQaWcvXrFnDunXrGDduHCNGjChynG7dupGUlMSBAweUsuTkZMLCwujQoYOyTf7Bgwfk5ORotN+xYwfwaAt6cfbt28fZs2cZMWKEEuD28PBgxYoVan88PDwAGDNmDCtWrFAyvnfv3h2AH3/8Ua3fH3/8kVKlStGiRQul7ObNm8TGxqrVS0xMxM3NDS0tLdauXVtkQLRgdem+ffvUyk+dOkVmZib16tUr9jmFEEIIIYQQQgjxdnl3ltyJl3blyhXy8vLIzs4mLi6O0NBQjh8/zrBhw+jZs+frnt5rMXr0aDw8PAgODmbQoEF07twZZ2dnWrRowd27d5Us4jExMXz11VdKu4MHD+Lj44OlpSXW1tbs3r1brV8HBwclYVPXrl1p3Lgx06dPJyYmBiMjIwIDA8nLy2PSpElKm8jISL755hu6du3Ke++9R05ODqdOneLAgQM0bNiQPn36KHVPnjzJihUrcHBwoGLFivz5558EBwfTtm1bhg8frtQrLHt7uXLlALCxscHR0VEpr1+/Pv369SMoKIi8vDyaN29OZGQkYWFhfPzxx2pni3722WdERkZy6dIlpWzMmDHExcUxZswYTp06xalTp5R7lStXxsHBAYAOHTpQu3ZtVqxYwc2bN2nUqBGxsbEEBgZSuXJl+vfv/2w/nhBCCCGEEEIIId4KEuAUz2z69OnAo/M6jY2NadSoEevXr1cS2ryLunTpgoWFBevWrWPAgAFMnTqVffv2ERoaSlJSEpGRkVhYWDBr1iwGDRqktPvrr78AuHbtGtOmTdPod9OmTUqAU0dHh9WrV7No0SI2b97Mw4cPsbGxYf78+cpWcoA6depgb29PeHg4iYmJ5OfnY2FhwcSJExk9erRaQiQzMzN0dHRYu3Yt6enpVK9encmTJzNy5MiXOmpg9uzZVKtWjeDgYH7++WeqVavG9OnTNTLQF6bgnaxZs0bjXosWLZQAp56eHgEBAaxcuZIjR44QGhqKoaEhdnZ2fPHFF8+0FV4IIYQQQgghhBBvD638ghTYQrzBzp49C0DgoTiuxd/718ezNDdinkePl+rD29sbJycn7O3tX9GsRFEyMjK4ePEi9erVw9DQ8HVPR7xB5NsQxZHvQxRFvg1RHPk+RHHk+xBFkW9DFCc6OhotLS0lsbF4fnIGpxBCCCGEEEIIIYQQosSSLeqiRDE3rVBixnF0dMTc3PwVzEYIIYQQQgghhBBCFEUCnKJEmTjI4T8bS6XKR1tb64XbP56ARwghhBBCCCGEEEL8O2SLuigxsrOzyczM/M/Ge5ngphBCCCGEEEIIIYT4b0iAU5QokhNLCCGEEEIIIYQQQjxOApyiRNHSklWVQgghhBBCCCGEEOL/SIBTlBh6enoYGBj8J2OpVC+3UtTb25uIiIhXNBshhBBCCCGEEEIIURRJMiRKlBWBvxGfkPKvjmFuWkFJZhQcHMz06dOVezo6OhgbG+Pg4ICnpydmZmYvNMbWrVv5/fffiY6O5tatWzg5ObFgwYJC6/7222/4+flx4cIF9PT0aNWqFdOmTaN69eoaddPS0li5ciVhYWEkJCRgZGREkyZNWLhwoRIcHjZsGJGRkYWOVapUKc6fP69WFh4ejp+fHzExMRgbG+Ps7MyECRMoVUr9n49z587h6+vLuXPnyMjIoHr16ri4uDBkyBB0dHSe+d3k5OTQt29fYmNjmTZtGqNHj1bu3blzBx8fH86ePUtCQgI6OjpYWlrSv39/atWq9cxjCCGEEEIIIYQQ4u0hAc43WJ8+fbh06RIBAQHY2dmxf/9+3N3dlesn3b9/nzZt2vDRRx/h4eEBQHJyMm3btkVPT48TJ06gr6+v1qYggFe9enX279+vFrTasGED8+fP59KlS/j6+uLn51fsfM3NzTl06BDe3t7s3Lmz0DrffvstPXv2fN5XoYhPSOFa/L0Xbv+i3N3dqV69OtnZ2URFRbFz505OnTpFaGgopUuX1qifm5tLdnZ2kf2tWbOG9PR0bGxsSExMLLLe4cOHmTBhAvXr18fLy4u0tDQ2bdrE4MGD2bVrF5UqVVLqpqamMnToUG7fvs3AgQOxsLAgOTmZU6dOkZ2drQQ4x40bR//+/dXGyczMZNasWTg4qGepP3r0KBMnTqRFixZ8+eWXXL58me+//567d+8ye/Zspd65c+dwdXXF0tKSjz76CH19fX755Rfmzp3LP//8w4wZM4p/wY/ZsmULt27dKvTevXv3uHPnDt26daNq1ark5uby22+/MWvWLPr06aM2JyGEEEIIIYQQQrwbJMD5hrpy5QqXLl0CICQkBDs7Oz744APKli3L3r17Cw1w7t+/n5ycHHr37q2U7du3j9zcXHJzczl06BA9evQodLwbN26wZ88enJ2dC73v4uJC27ZtlesdO3YQGhrKxo0blTI9PT3lv2vUqMHixYs1+nnvvfee8uRvpnbt2mFjYwM8ehdGRkb4+/sTHh6uvNPU1FTmzZtHWFgYGRkZhISEYGhoSNOmTVm6dCnly5dX+tu8eTPVqlVDS0uLJk2aFDnu4sWLqVGjBoGBgcr77dixI05OTqxevRpvb2+l7pIlS7h58ybBwcHUqFGjyD6fDGIC7N69G0Dt2wFYtGgR77//PuvWrVOC32XKlGHVqlUMHz6cmjVrArB9+3bgUXCyYsWKALi6ujJ06FB27tz5zAHOu3fvsmLFCsaMGcPy5cs17tetW5fNmzerlQ0dOpSPPvqI/fv3M3PmzGcaRwghhBBCCCGEEG8POYPzDRUSEoK2tjb29vaEhYWRk5ND6dKl6dKlC2FhYeTm5mq0CQ0NpUGDBlhbW6uV1axZEzMzM/bs2VPkePb29qxatYq8vLxC71epUoXGjRsrf6pUqYK2trZaWf369ZX6+vr6avcK/hgZGb3EW3lzFASY4+LilLK5c+cSEhLCqFGjcHBwwN3dnUmTJpGenk5mZqZae3Nz86cmTLp//z4xMTE4OjqqBY/r1q1LzZo12bt3r1L24MEDgoODGTBgADVq1CA7O7vYFaRPCg0NxdDQkE6dOillMTExxMTEMGDAALWVvYMHDyY/P5/9+/crZWlpaZQuXVotiAtgYmKisWq4OIsXL8bKyoo+ffo8cxuAqlWrkp2dTU5OznO1E0IIIYQQQgghRMknAc43UH5+PqGhobRs2ZJRo0Zx//59fv31V+DRCrvk5GSOHz+u1ubOnTv88ccfaivw4uLiOHPmDL1796Znz54cO3aM+/fvFzrmhAkTuH79ulrQTBQtPj4eQC2gd+TIEZycnHB3d8fU1BQ7Ozvc3NzYtm3bC53VWRCgLCxAqK+vT0JCgrK9/dSpUzx8+JD33nsPd3d3GjdujK2tLa6urly8eLHYcQq+p06dOmFoaKiUX7hwAUBZuVrAzMyMKlWqqPXbokUL0tLSmDlzJrGxscTHxxMYGMjBgwcZO3bsMz1vdHQ0u3bt4vPPP39q8DcrK4vk5GRu3LjBzp072bNnD7Vr136uYKoQQgghhBBCCCHeDhLgfAOdPn2a+Ph4evXqRZs2bahYsSKhoaEAtGzZEhMTE+W6QEFg8vEt6AV1evXqRa9evcjJySEsLKzQMevUqUOnTp344YcfUKlUr+Q5CrbGP/6npEpLSyM5OZnbt2+zf/9+/Pz80NPTo0OHDkodHR0djZWaL6Ny5cqUL1+e06dPq5Xfu3eP2NhY4FFgG+D69evAo23qt27dYuHChcycOZO4uDhGjBhBQkJCkeMUHGPw5Pb0guCpiYmJRhsTExO1PgcMGMDQoUPZtWsXPXr0oGPHjsyZM4cvvviCESNGPPVZ8/PzmTNnDj169Ch2y36BTZs20apVKzp16oS3tzc2NjZMmjTpqe2EEEIIIYQQQgjx9pEzON9ABYlrunTpgq6uLl27dmXPnj2kp6dTpkwZevTowY8//sjDhw+VBDehoaG0aNFCbaXg3r17ady4sXIeo7W1NSEhIbi6uhY67vjx4+nXrx9hYWFFntX5rK5cuUKDBg00yo8ePUqVKlVequ/XYeTIkWrX5ubm+Pj4qD2Ls7Mz/v7+5OTkEB8fX2xQ8Vloa2szcOBA/P39WbJkCf369SMtLQ0fHx9lK3ZWVhYA6enpAGhpabFhwwbKlCkDQP369Rk4cCABAQF4enoWOk5oaCiVKlXSOJuzoO/Ht8cXKF26NGlpacq1jo4ONWrUoE2bNnTr1g09PT327t3LN998g4mJCY6OjsU+a3BwMJcvXy703M3C9OzZk4YNG5KcnMzhw4dJSEh4ri35QgghhBBCCCGEeHvICs43TG5uLmFhYbRv355y5coBj7alZ2ZmcvDgQeDRisz09HQOHz4MwLVr1zh//rzaCry//vqLK1eu0KtXL6WsZ8+enDp1ips3bxY6dsOGDWnfvj3ff/89+fn5L/UcFhYW/Pjjjxp/jI2NX6rf12XmzJmsX7+e5cuX0759e+7du6cR+PP09OSrr77ixo0bnD9/nqlTp+Lg4MCaNWteeFWsu7s7/fv3Z82aNXTt2pV+/fpRqlQp+vXrB6AEMgu2Znfo0EEpA2jcuDHVq1fnzJkzhfZfcIxBjx491M7ZfLzPwgKHDx8+VNsOvnr1atasWcOSJUv48MMP6dGjBytWrKBp06bMnj272NW7aWlpfPvtt4wePZqqVas+y2vB3Nyc1q1b06tXL5YsWUL16tWZN2+eEpQVQgghhBBCCCHEu0MCnG+Y3377jeTkZDp06MCDBw948OABderUUduWbmtri6WlpXIdGhqKnp4eXbt2VfrZs2cP2tratGnTRumnffv2yvmeRZkwYQKXL1/m559/fqnnKF26NDY2Nhp/dHV1X6rf18XW1pbWrVvTtWtXvv/+e+rUqYOXl5eychIerbh0dXUlKCiIvn374uXlhZ2dHT4+PqxZs+aFxtXT02Pu3Ln8+uuvBAQEEBYWxtq1a0lLS0NbWxsLCwsATE1NgUfb2p9kbGzMgwcPCu0/JCQE0MyeDv+3Nb1gq/rjEhMTlTEBtm7dir29vVpwFaBTp04kJCQoZ5YWZu3ateTk5NCjRw9u3LjBjRs3uH37NvAoedKNGzeeujrT0dGRu3fvamznF0IIIYQQQgghxNtPApxvmIKA0/Tp02nevDnNmzenRYsWJCYmcuLECe7evQs8WsV59OhRUlNTCQ0N5YMPPlBWfObn57Nv3z5UKhXdunVT+unfv7/aGIVp3LgxDg4OrFy58l9+0pJLR0eHKVOmkJCQQEBAQJH1GjVqxLJly6hTp06RZ58+q8qVK2NnZ4eVlRV5eXlERETQqFEjJaBYcBxAwZmcj0tISKBSpUqF9hsaGoqFhQWNGzfWuFevXj0Azp49q1Z+584dbt++Td26dZWypKSkQlepFmylL24F561bt0hJSaFnz5506tSJTp06MWTIEAB++OEHOnXqpJw5WpSClZuPb5sXQgghhBBCCCHEu0HO4HyDZGZmEh4ejqOjI8OHD1e7l5SUxJQpU9i3bx/Dhg2jV69e+Pn58d1333H16lWmTJmi1P3jjz+4desWkyZNonnz5mr9/Prrr/j7+3Pp0iXef//9QucxYcIEhgwZopYhXKizt7fH1taWjRs3MmLECEqXLk1KSgoVKlRQq5efn49KpXql2b3Xrl1LYmIiX375pVJmbW1N3bp1CQ8PJzk5WQloHjt2jFu3bjF06FCNfi5cuEBsbCwTJkwodJzatWtjbW3N//73P1xdXdHR0QEgMDAQLS0tunXrptS1srLi+PHj3Lt3DyMjIwDy8vL46aefKFOmjLLSFOCff/4BUMqGDRumcUbn3bt3mTlzJs7OznTq1Inq1asDqD3b43bt2oWWlpZa0FUIIYQQQgghhBDvBglwvkHCw8PJyMhg2LBh2Nvba9xfs2YNoaGhDBs2DCsrKxo0aEBAQADlypXjgw8+UOqFhIRgaGjIqFGjNLYM165dmw0bNhAaGlpkgNPOzo4WLVrw+++/v/CzZGVlERUVpVFetWpVtURIJdno0aPx8PAgODiYQYMG0blzZ5ydnWnRogV3794lMjKSzZs3ExMTw1dffaXW9tChQ/z111/Ao1WOly5dUlbNduzYUQnU7d69mwMHDtC8eXMMDQ05fvw4P/30Ey4uLmpHEsCjVb9ubm4MHjwYV1dXUlNTWb9+PZaWlgwaNEhj/sVtTy8wbdo0xo8fj5ubGz179uTy5csEBATg4uJCzZo1lXofffQRn376KQMGDGDAgAHo6+uzd+9ezp8/z+TJk9WOJihI2HTo0CHg0erTJxNS3bhxA4BatWqpBT+///57Tp8+Tdu2balWrRr379/nwIEDnD17lq5du6oFUoUQQgghhBBCCPFukADnGyQ0NJRq1aoVGtwE+PDDD5k3bx7//PMPFhYW9OnTh/Pnz9OlSxcl4U1OTg779+/H0dFRI7gJUKlSJdq3b09oaKjaqs8nTZgwgcjIyBd+lri4OAYOHKhR7uHhUeSKwZKmS5cuWFhYsG7dOgYMGMDUqVPZt28foaGhJCUlERkZiYWFBbNmzdIIMB44cICdO3cq1xcuXODChQsAVKlSRQlwWllZkZKSwsqVK8nKysLKyorZs2cX+m5btmzJmjVrWLZsGd9++y0GBgY4Ojry6aefanwLKpWKvXv30qBBA6ytrYt8xg4dOuDn54efnx9z5syhUqVKfPzxx0ycOFGtXp8+fTAyMmL16tXKGaEFc3V1dX2+F1uMDz74gLi4OIKCgpRET++//z6zZ8+mVq1ar2wcIYQQQgghhBBClBxa+S+bLluI/0DBOZCBh+K4Fn/vXx3L0tyIeR49XqoPb29vnJycigxWi1crIyODixcvUq9ePQwNDV/3dMQbRL4NURz5PkRR5NsQxZHvQxRHvg9RFPk2RHGio6PR0tLCxsbmdU+lxJIkQ0IIIYQQQgghhBBCiBJLtqiLEsXctMLTK70BYzg6OmJubv4KZiOEEEIIIYQQQgghiiMBTlGiTBzk8J+Mo1Llo62t9cLtn8wKLoQQQgghhBBCCCH+HbJFXZQY2dnZZGZm/idjvUxwUwghhBBCCCGEEEL8dyTAKUoUyYklhBBCCCGEEEIIIR4nAU5RomhpycpKIYQQQgghhBBCCPF/JMApSgw9PT0MDAz+k7FUqpdbKert7U1ERMQrmo0QQgghhBBCCCGEKIokGRIlyorA34hPSPlXxzA3raAkMwoODmb69OnKPR0dHYyNjXFwcMDT0xMzM7MXGmPr1q38/vvvREdHc+vWLZycnFiwYEGhdX/77Tf8/Py4cOECenp6tGrVimnTplG9enWNumlpaaxcuZKwsDASEhIwMjKiSZMmLFy4UAkOP/lMjzt27BgmJibK9b59+zh06BDR0dFcv36dFi1asHnz5kLbXrt2jWXLlnHq1ClSUlKoWrUqvXr1YvTo0c8dmB41ahTHjx9nyJAhzJw5Uym/desWQUFBHDlyhOvXr6OtrU2dOnUYNWoUFSpUeK4xhBBCCCGEEEII8XaQAKcoUeITUrgWf+8/H9fd3Z3q1auTnZ1NVFQUO3fu5NSpU4SGhlK6dGmN+rm5uWRnZxfZ35o1a0hPT8fGxobExMQi6x0+fJgJEyZQv359vLy8SEtLY9OmTQwePJhdu3ZRqVIlpW5qaipDhw7l9u3bDBw4EAsLC5KTkzl16hTZ2dkaQcaCZ3pc+fLl1a4DAwM5d+4cNjY23L9/v8h53rp1CxcXF8qVK8fQoUOpUKECUVFR+Pr6cv78eb7//vsi2z7pwIEDREVFFXovPDwcf39/HB0dcXJyIjc3l927dzN+/HjGjh1LvXr1nnkcIYQQQgghhBBCvB0kwPmG8fX1xc/PT7k2MjKiTp06uLu7Y2dnp1b30qVLrF69moiICO7fv0/58uVp2rQpQ4YMoVWrVs817s8//8zEiRMJDw8vdGXg8xg2bBiRkZHKddmyZalZsyZjx47F0dHxpfp+Xdq1a4eNjQ0ALi4uGBkZ4e/vT3h4OD169AAeBRjnzZtHWFgYGRkZhISEYGhoSNOmTVm6dKla8HDz5s1Uq1YNLS0tmjRpUuS4ixcvpkaNGgQGBqKnpwdAx44dcXJyYvXq1Xh7eyt1lyxZws2bNwkODqZGjRrP9UxFWbRoEWZmZmhra9OrV68i6+3evZsHDx6wdetWateuDcDAgQNRqVTs2rWLlJSUZ1ph+fDhQxYsWMCYMWNYvny5xn17e3sOHz6sFtgdNGgQffr04ccff2T8+PFPHUMIIYQQQgghhBBvl1d2Bmd6ejqxsbHExsaSnp7+qrp9J+nr67N9+3a2b9/OV199xf379xk5ciSXL19W6vz888/079+fq1ev4unpyfr165k1axalS5fGzc2N1NTU1/gE0LRpU+UZli5dSpUqVZg0aRKnTp16rfN6VQqCzXFxcUrZ3LlzCQkJYdSoUTg4OODu7s6kSZNIT08nMzNTrb25uflTEybdv3+fmJgYHB0dleAmQN26dalZsyZ79+5Vyh48eEBwcDADBgygRo0aZGdnF7uCtEBaWhp5eXlF3q9atSra2k//ZyItLQ0AY2NjtXITExO0tbXR1dV9ah8A/v7+5OfnM3r06ELv165dWy24CY/OZnVwcCA5OVn+7RFCCCGEEEIIId5BL72CMzo6Gh8fH06fPo1KpQJAW1ubZs2a8emnnz51hZjQpK2tTePGjZVrW1tbOnbsyLZt25g5cyaJiYl89tlnNGvWjNWrV6sFv7p27YqLiwulSr3exbnly5dXe4bWrVvTpk0bwsPDadas2eub2CsSHx8PqG/pPnLkCE5OTri7u+Pt7Y2dnR329va4ubm90BgFAUp9fX2Ne/r6+ly5coXExERMTEw4deoUDx8+5L333sPd3Z2ff/4ZlUpF48aNmTVrVqFbt4cPH05GRga6urq0adMGb29vLC0tX2iuLVq0wN/fny+++AJ3d3cqVqzImTNnCAwMZNiwYRgaGj61j5s3b+Lv78+8efMKfebi3L17l9KlSz93OyGEEEIIIYQQQpR8LxUF+/PPPxk2bBi6urr079+fmjVrAhAbG8vevXsZOnQomzdvxtbW9pVM9l1VrVo1KlWqxI0bNwD43//+R1paGtOnT1cLbhZo2bJlsf3l5OSwaNEidu/eTV5eHl27dsXe3l6j3v3791m4cCGHDh0iMzNTOQeyefPmz/0MpUqVQl9fn9zc3Odu+yZIS0sjOTmZ7Oxs/vzzT/z8/NDT06NDhw5KHR0dHY2Vmi+jcuXKlC9fntOnT6uV37t3j9jYWADu3LmDiYkJ169fBx5tU7ewsGDhwoWkpqayYsUKRowYQWhoKKampsCj4KizszP29vaULVuWc+fOsWHDBlxdXdm5cydVq1Z97rm2a9cODw8PVq1axaFDh5TycePG4enp+Ux9LFiwgHr16tGzZ8/nGvv69escOnSI5s2bo6Oj81xthRBCCCGEEEIIUfK9VIBz6dKlmJmZsXXrVrXMywCTJk1i0KBBLF26lPXr17/UJN91aWlp3L9/XwlQnTx5ElNTU95///0X6u/bb78lMDCQSZMmUb9+ffbu3cuSJUvU6uTl5fHRRx8RFxfH1KlTqVy5Mps3b2bUqFFs27aNhg0bFjtGfn6+Esx88OAB27dv586dO3Tp0uWF5vy6jRw5Uu3a3NwcHx8fqlSpopQ5Ozvj7+9PTk4O8fHxJCQkvNSY2traDBw4EH9/f5YsWUK/fv1IS0vDx8eHnJwcALKysgCUrdlaWlps2LCBMmXKAFC/fn0GDhxIQECAEmjs0aOHcm4ogKOjI23atGHo0KF8//33fP311y80X3Nzc+zs7OjatSsVK1bkyJEjrFq1ChMTE4YOHVps299//50DBw7wv//977nGzMzMxMPDg9KlSzNo0KAXmrcQQgghhBBCCCFKtpdewTlx4kSN4CY8Wn02YMAAVq5c+TJDvLMKgoO3b99m4cKFykpLeLRqr1q1ai/U7/3799m6dSsfffQRH3/8MQBt27Zl6NCh3LlzR6l35MgRoqOjWbNmDW3btgWgTZs2dOnShVWrVuHr61vsOEePHqVBgwbKtY6OjrJtuySaOXMmVlZWpKamEhQUxMmTJzVWz3p6emJubs6OHTu4cOECU6dOZcGCBYwaNQo3N7dnOsvySe7u7ty7d481a9awevVq4NHv0K9fP7Zt26YEMgu2Znfo0EEpA2jcuDHVq1fnzJkzxY5jZ2dHo0aNOHHixHPPEWDv3r3MnDmT/fv3K0HfLl26kJ+fz+LFi+nZsydGRkaFts3NzWXu3Ln07dv3uVZ75+Xl4enpSUxMDH5+fpQrV+6F5i6EEEIIIYQQQoiS7aUCnNra2sUmKFGpVC8U1HnXZWRkqAUHK1SowMyZM5VAI/DUBDVFuXz5MllZWXTu3FmtvEuXLpw8eVK5/uOPPyhbtqzamLq6unTu3JnQ0NCnjtOsWTOmT58OPFpdePToURYsWED58uVxcnJ6obm/Tra2tsp5so6OjgwePBgvLy/CwsKUgKK2tjaurq64urri7e2NtbU158+fx8fHB5VKxdixY597XD09PebOnYunpyfXrl3D2NgYKysrvLy80NbWxsLCAkBZ3Vu5cmWNPoyNjXnw4MFTx6pSpQpXr1597jkCbN26lXr16qmtaIVHGd+Dg4O5ePEirVu3LrTtrl27uHr1KrNnz1aOYSiQnp7OjRs3MDY2xsDAQO3ejBkzOHLkCIsXL6ZFixZcvHjxheYuhBBCCCGEEEKIku2lApxNmjQhICCAXr16YW5urnbv5s2bbN26laZNm77UBN9F+vr6bNmyBS0tLYyMjDQyWZuZmfH333+/UN+JiYmAZrbrJwNjDx480KhTUC8lJeWp45QrV04twVTLli25evUqCxcu5MMPP3zhAO2bQEdHhylTpjB8+HACAgKKDFw2atSIsWPH0rt3b8LCwl4owFmgcuXKym+Ul5dHREQEjRo1UoKrBQHxx1fhFkhISMDa2vqpY8TFxRW5yvJpkpKSqFChgkZ5wVb64s5evXXrFjk5OYVuMd+1axe7du1ixYoVODo6KuULFy4kODiYzz//nF69epGRkfFC8xZCCCGEEEIIIUTJ91IBzilTpjBkyBC6d+9O586dlQzMV69eJTw8HB0dHby8vF7FPN8p2traxWafb9GiBSdOnODKlSvUrl37ufouOE7g7t27mJmZKeVJSUlq9SpUqMDdu3c12hcVyHoWNWvW5PDhw9y9e7fQlYYlib29Pba2tmzcuJERI0ZQunRpUlJSNN5Nfn4+KpXqlWb3Xrt2LYmJiXz55ZdKmbW1NXXr1iU8PJzk5GQqVaoEwLFjx7h165baGZiP3y9w9OhRzp8/z7Bhw15oTlZWVhw7doyrV69iZWWllO/duxdtbW2182Jv3rxJZmamkpSsR48ehWZ5nzhxIu3bt2fAgAFqW9fXrFnDunXrGDduHCNGjHih+QohhBBCCCGEEOLt8VIBzvr167Njxw6WLl2qZNoGMDAwoG3btkyePJlatWq9komK/+Pi4sLatWuZP38+q1atQldXV+1+REQEtra2Glt6AerUqYO+vj4HDx6kfv36SvmBAwfU6jVr1oy1a9dy7Ngx2rRpAzxahffzzz/TrFmzF5r3lStX0NXVpWzZsi/U/k0zevRoPDw8CA4OZtCgQXTu3BlnZ2datGjB3bt3iYyMZPPmzcTExPDVV1+ptT106BB//fUX8GiV46VLl5Tzajt27EjdunUB2L17NwcOHKB58+YYGhpy/PhxfvrpJ1xcXJQzWQtMnz4dNzc3Bg8ejKurK6mpqaxfvx5LS0u11ZGurq7Uq1ePhg0bUq5cOS5cuEBQUBBVq1Zl3Lhxan2ePHlSObogOTmZjIwMZZ7NmzenefPmyrv45ZdfGDJkCEOGDFGSDP3yyy+4uLioBdM/++wzIiMjuXTpEvAo8F0Q7HxS9erV1VZuHjx4EB8fHywtLbG2tmb37t0AZGdnc/PmTUxNTTE0NHzaTyeEEEIIIYQQQoi3yEsFOAFq1arFihUrUKlUJCcnA1CpUiU5e/NfZGJiwsKFC5k8eTKDBg1iyJAh1KhRg3v37vHzzz8TEhJCREREoW0rVqyIq6sr/v7+6OvrK1nU//nnH7V6H3zwAba2tnz66ad4eXkpWdQTEhJYvnz5U+f44MEDoqKigP87g/Po0aMMGDDgla5mfJ26dOmChYUF69atY8CAAUydOpV9+/YRGhpKUlISkZGRWFhYMGvWLI3t1wcOHGDnzp3K9YULF7hw4QLw6CzMggCnlZUVKSkprFy5kqysLKysrJg9ezYDBw7UmE/Lli1Zs2YNy5Yt49tvv8XAwABHR0c+/fRTtcRD3bt35+jRo/z2229kZWVhYmKCi4sLn3zyicbK2t9//x0/Pz+1smXLlgHwySefKAHO5s2bs23bNnx9fQkMDOT+/fuYm5vj6enJmDFjXvQVaygICl+7do1p06Zp3G/SpAk1atR4ZeMJIYQQQgghhBDizaeVn5+f/7onIf6Pr68v69ate2rWa3gU7PH39yciIoJ79+5Rvnx5mjVrxtChQ2nZsmWR7bKzs1m0aBG7d+9GpVLRuXNnWrVqxbRp0wgPD6d69eoA3Lt3j0WLFnHo0CEl8dGUKVNo0aJFsfMaNmwYkZGRyrW+vj41atTAycmJYcOGaWQffxZnz54FIPBQHNfi7z13++dhaW7EPI8eL9WHt7c3Tk5O2Nvbv6JZieJkZGRw8eJF6tWrJys4hRr5NkRx5PsQRZFvQxRHvg9RHPk+RFHk2xDFiY6ORktLq9jjCkXxnmsF55MruZ6FlpYWEydOfO5276pJkyYxadKkZ6pbt25dlixZ8txj6OnpMWPGDGbMmKFW3rdvX7VrIyMj5s+f/9z9b968+bnbCCGEEEIIIYQQQgjxIl46wFmQDfvJhaBaWlrk5+dLgFO8UuamL5bg6L8ew9HREXNz81cwGyGEEEIIIYQQQghRnOcKcBacf1fgzp07jB07ltq1azNixAgle/Lff//Nxo0biY2NZdWqVa9utuKdN3GQw38yjkqVj7a21gu3fzwxjhBCCCGEEEIIIYT497xUJqDZs2fz3nvvsXjxYmxsbChbtixly5bF1taWJUuWYGFhwddff/2q5irecdnZ2WRmZv4nY71McFMIIYQQQgghhBBC/HdeKsD5+++/F5vMpmXLlpw4ceJlhhBCjeTEEkIIIYQQQgghhBCPe6kAZ+nSpYmKiiry/pkzZyhduvTLDCGEmoIzX4UQQgghhBBCCCGEgJcMcPbu3ZuQkBC++eYbrl27hkqlQqVSce3aNebMmUNoaCi9e/d+VXMV7zg9PT0MDAz+9XFUqpdbJert7U1ERMQrmo0QQgghhBBCCCGEKM5zJRl60tSpU7l37x5btmwhICAAbe1H8VKVSkV+fj49e/Zk6tSpr2SiQgCsCPyN+ISUf61/c9MKSiKj4OBgpk+frtzT0dHB2NgYBwcHPD09MTMze6Extm7dyu+//050dDS3bt3CycmJBQsWFFr33Llz+Pr6cu7cOTIyMqhevTouLi4MGTIEHR0dpV56ejrfffcd+/fvJzk5mRo1ajBs2DAGDx6s1l9CQgKbNm3izz//VPrctGkT9vb2GmPn5OSwatUqdu7cyZ07dzAzM6Nfv36MHTuWUqXU/+k4d+4cS5cu5cyZM+Tn59OkSRM+/fRT6tWr99T34evri5+fn0a5np4eZ8+eVa6zsrL4+uuvlfemUqmoUaMG/fr148MPP3zqOEIIIYQQQgghhHg7vVSAU09PDx8fH0aPHs0vv/xCfHw8AObm5rRr1466deu+kkkKUSA+IYVr8ff+0zHd3d2pXr062dnZREVFsXPnTk6dOkVoaGihRzDk5uaSnZ1dZH9r1qwhPT0dGxsbEhMTi6x37tw5XF1dsbS05KOPPkJfX59ffvmFuXPn8s8//zBjxgwA8vLyGD16NOfOnWPIkCG89957HDt2jNmzZ/PgwQPGjRun9Hn16lX8/f2xtLTk/fff58yZM0WO/+mnnxIWFka/fv1o2LAhf/75J8uWLePWrVvMmTNHqXf+/HkGDx5M1apV+eSTT1CpVGzdupWhQ4eyY8cOrK2ti32/Bb766isMDQ2V68cDuPAowBkTE0O7du0wNzdHW1ubM2fOMH/+fE6fPs3w4cOfaRwhhBBCCCGEEEK8XV4qwFmgbt26ryyYuWfPHjZt2sTVq1fJz8/HzMyMpk2bMmXKFIyNjZV6WVlZrFu3jtDQUOLi4jAwMKBp06aMGzeOxo0bq/U5bNgwDA0NWbVqVaFjRkREMHz4cH788UdsbGyUNpGRkcCjQEu5cuWwsrKibdu2DB48GCMjo0L7+uabb9i8eTPu7u5MnDhR437Hjh2VQLCOjg5VqlShefPmTJ48mapVqz7znJ60fft2GjduzI0bN+jUqZNSXrp0aSpVqkT9+vXp3bs33bp1K/Qcy5ycHNq0aUNKSgqHDh2iWrVqhb6jAgYGBhgbG2Nra0v//v1xcHBQq1/UqjwALy8vxo4dW+i9N1G7du2U38DFxQUjIyP8/f0JDw+nR48eAKSmpjJv3jzCwsLIyMggJCQEQ0NDmjZtytKlSylfvrzS3+bNm6lWrRpaWlo0adKkyHG3b98OwJYtW6hYsSIArq6uDB06lJ07dyoBzgMHDnDmzBnmzp1L//79ARg8eDDu7u6sXLkSFxcX5e9OgwYNiIiIoGLFioSFhRUZ4IyOjuann35iwoQJeHh4ADBo0CCMjIxYv349Q4YMUf7OL1u2DH19fbZt26b8vejTpw9du3Zl6dKl+Pr6PtN77tq1K5UqVSryfsWKFfnf//6nVjZo0CDKlSvHli1b6NOnzzONI4QQQgghhBBCiLfLKwlwvir+/v4sWbKEkSNH4u7uTn5+PleuXCEkJISEhAQlSJORkcHIkSO5cuUKY8aMwc7Ojvv377NlyxYGDx7M4sWLlcDTy2jatCmfffYZKpWKlJQUzpw5w6ZNmwgMDGTNmjUaQd28vDx++uknAEJDQwsNcMKjQI6bmxu5ubmcPXuW5cuXc+HCBYKDg9HV1X2mOT2pdu3aatdTpkzB3t6enJwcbt68SXh4OJMnT6Zjx474+vpqbDE+duwY9+/fV+ZeVABy/vz5hY6CgAABAABJREFUWFtb8/DhQ+Li4ti7dy9ubm4MHjyYWbNmqdXV19dn48aNGn08Hsgtiezs7PD39ycuLk4pmzt3rvLeoqKiaNasGQYGBhw4cIDMzEy1AKe5ufkzjZOWlkbp0qXV2gKYmJhw9epV5frUqVMA9OzZU61ejx492L9/P+Hh4QwYMACAsmXLPtPYxfW5bt06fvrpJ+X7/+OPP2jbtq1a0N/U1JQWLVpw+PBh0tPTKVOmzDONm5aWRpkyZZ4rmVTB+0xPT3/mNkIIIYQQQgghhHh7PFeAs27dumhraxMVFYWenh5169Z9aiBCS0uLCxcuPFP/mzdvxsnJCW9vb6Wsffv2jBkzBpVKpZQtW7aMP//8k40bN9KyZUul3NHRETc3N7744gvs7OwwNTV9nsfTUL58ebXVoB06dMDV1ZUBAwYwefJk9u3bp5w7CnDixAmSkpJo3bo1x48f5/z58zRo0ECj38qVKyv92tnZ8fDhQ5YuXcq5c/+PvXuP6/n8Hz/+qKhUKCn0rsjZKCFCziLLYasN5XyamRFhU19mbHNazMz5fIgwlClWGWMzx+UQaoYPQzqw6Hx+9/vDrdfPWwcVtuF5v912u+11vZ6v67pe7177/PH8XNf1vFziir6i5lSc2rVra8S988477Nq1i1mzZrFu3To++ugjjfiQkBCqVKmClZUVwcHBxSY4GzRooKxmdHR05P333+ebb75hzZo1tGjRQmMVnba2dqnm+qopWIH7ZOLx6NGjuLm54eXlhY+PDw4ODjg6OjJq1Khyj9OmTRsOHjzIrFmzGDlypLJF/dChQ3zyySdKXHZ2Njo6OoWS4wUFmS5fvqwkOEurYIv901vwn+zzyVh9ff1Cfejr65OTk8O1a9dK9R10796d9PR0DAwM6N69Oz4+PlSvXr3IuaWmppKVlcXly5fZuHEjtWrVombNmmV5RSGEEEIIIYQQQrwmypTg/Pjjj9HS0lJW/xVcvyjJycnFJiULEomZmZl8//33ODk5aSQ34fGWby8vLwYNGsTu3buLXUH5PCwsLPjoo4/44osvOHHiBB06dFDuhYSEYGhoyIIFC+jevTvBwcFFJjifVlCIJTY29pkJzucxcOBAdu/ezfbt2zUSnOnp6Rw5coTevXvTuHFjvvzyS65evUqjRo1K1a+XlxeBgYEEBAS8ltuEU1NTSUxMJDs7m4sXL7J8+XJ0dXXp2rWrEqOjo0NGRsYLHXfAgAFcv36dXbt2sXv3bmWczz77DE9PTyXOxsaGvLw8Lly4gIODg9L++++/A48LC5WVjY0NAOfOncPKyqrEPm1sbLhw4QJ5eXnKuZnZ2dlERkYCEB8fX+JYVapUYciQIdjb26Orq8vvv/9OQEAAly5dYu/evYVWnR46dIgpU6Yo182aNWPWrFnk5uaW+T2FEEIIIYQQQgjx6itTgnPixIklXj+vpk2bsnPnTiwtLenSpQtmZmaFYgoqPz+ZXHpSq1atMDY2VhIxL0NBUvPChQvKv2dlZREeHk6PHj2oUaMGHTp04MCBA3z66acaqzyLcu/ePQAsLS2fOXZ+fn6hRI6WllahgizFcXJyYvXq1cTExChbe3/66SfS09Pp06cPDRo0YP78+YSEhJQ6wVmhQgXatm1LaGgoOTk5GisJi0o6Pb09/r9uxIgRGtcqlQo/Pz+NFYPu7u6sW7eOnJwcYmJiypVUfJqOjg5WVlZ06NCBXr16oaury4EDB/jqq68wMzPD2dkZgD59+rBixQpmzJjBrFmzqF27Nr/99hsBAQHA4/9ToKw6d+6MSqXi66+/plKlSjRt2pSLFy+yZMkSKlSooNHnoEGDmD17NjNmzFBWW69atUopoPSs8YcPH65x7eLigp2dHdOmTSMgIKDQamJHR0c2bdpEcnIyJ0+e5OrVq2RkZDzzeAchhBBCCCGEEEK8nkrOvD3D8uXL+fPPP4u9f+3atWILzRTl888/p2rVqsycOZMOHTrQvXt3vvrqK+7evavEFKwGK+kcx1q1ahEXF1fqccuqYOwnK2AfOXKEtLQ0+vTpA0Dfvn1JSEjg9OnThZ4vSFJmZmby+++/s2bNGjp37oydnd0zxz527BhNmzbV+Kdgy3hZ5v7gwQOlLSQkhBo1atCmTRtMTU1p27YtISEh5Ofnl6nfnJwckpKSlLb09PRCc23atOlLTT6/DLNmzWLTpk189913dO7cmYcPH6Krq6sR4+3tzezZs7l79y5Xrlxh2rRpODk5sX79eo3jFcpi7dq1rF+/nsWLF/Puu+/i6urKihUraNmyJXPmzFGSx2ZmZqxatYrs7GxGjRpF9+7d+frrr/nss88ANCqTl5aenh5r1qzB2NiYiRMn0q1bN6ZPn87HH39M1apVNfr09PRk3LhxhISE0Lt3b/r27cvt27cZPXo0QKnP33xS3759MTMz48SJE4XuVa9enfbt29OrVy/mzJlDly5d+Oijj5QzZIUQQgghhBBCCPFmea6ldMuXL6d27do0bNiwyPvXrl1jxYoVTJgwoVT9NWzYkJCQEE6ePMnx48c5e/Ys/v7+BAYGsn37dmUr97+tIPH35Pb8kJAQTE1Nad++PfC4WrqBgQHBwcG0a9dO4/mAgABldR1AnTp1+Oabb0o1dqtWrfD19dVoK8sxAU/PPTExkd9++42hQ4cqK0379u3L9OnTiYiI0NjyXJZ+4fEZjNu2bSsUW7du3VLP97/Azs5OSSI7OzszaNAgpk6dSmhoqJK809bWxsPDAw8PD3x8fKhbty5XrlzBz88PtVpdrqrxAQEBODo6FkoQdu/enfnz5xMTE0Pt2rUBaN26NT/99BN//vkn6enpNG7cWFlFWqdOnXK9d4MGDQgJCeH69eskJSVRv3599PX1mT9/Pq1bt9aI9fb2ZtSoUVy7do3KlSvTqFEj5Zsu7/g1a9bUSJgXp6Bae0RERKH/1oQQQgghhBBCCPH6e64VnM/y6NGjMm8b1dXVpXPnzsyYMYN9+/axfv16MjMzWbFiBQA1atQAHp9XWZzY2NiXWnCkYHVoQQGU5ORkjh07RteuXUlLSyM5OZmcnBw6duzIoUOHlIItBd5++2327NnD9u3b+fDDD7l16xazZs0q1diVK1fG1tZW459mzZqVe+4//vgjubm5dO7cmeTkZJKTk3F0dERXV5fg4OAy9VuxYkWqVq2qtGlraxeaq62tbblW9P1X6OjoMGXKFBISEti+fXuxcc2bN2fp0qU0bNiQ0NDQco314MGDIld/5uTkAIW3/+vo6NCkSRNatWqFoaGhsvqxIOleHlpaWjRo0AAHBweMjY05ffo0arW6yD6rVq2Kg4ODcrTBiRMnqFmzZrkS2vn5+cTExFCtWrVnxmZlZQGPVwwLIYQQQgghhBDizVPmFZxnz57V2HZ96NAh/vrrr0JxKSkpHDx4sNjVnaXVsWNHGjduzI0bN4DHBUUMDAw4evQoQ4cOLRR//vx5Hj16VOqVh+Vx/PhxAFq2bAlAWFgYOTk57Nmzhz179hSKP3r0KD179lSuq1WrpqwIdHBwID09HX9/f4YPH07z5s1f2rwL5l6jRg0sLCyAxytPofA5kwChoaHMnDnzmUnq3NxcTp06ha2t7St3vmZ5ODo6Ymdnx5YtWxg+fDh6enokJSVpJHfhcZJOrVYXWWG8NGxsbDhx4gQPHz7ExMQEgLy8PH788UcMDQ2xtrYu9tnExETWr19Po0aNnivB+aTMzEyWLl2KmZkZvXv3LjH24MGDXLp0ienTp2ucQXvv3j0yMjKoV6+exlyfTmQGBASQmJhIx44dNeJMTEwKrVguKMD0qq0MFkIIIYQQQgghxItR5mzU6dOnlXM1tbS0CA8PJzw8vMjY+vXrK+cAlsaDBw+UlYUFMjMziY2NpX79+sDjbc8DBgxg8+bNnD17VmOrrFqt5rvvvsPAwID+/fuX9dVK5d69e6xcuZL69esrVdyDg4NRqVTMnz+/UPyUKVMIDg7WSHA+bcKECQQFBbF69WpWrVr1UuYNsGvXLi5fvszUqVMBiImJ4fz583h4eODq6qoRGx0dzfz58/n111/p1q1bif1+99133L9/v9DW+dfZ6NGjmTRpEoGBgXh6etKjRw/c3d1p06YNf//9N2fOnMHf35/r168ze/ZsjWePHDnCH3/8ATxejXn16lVWrlwJPD7aoHHjxgB88MEHfPLJJwwYMIABAwagr6/PgQMHuHLlCpMnT9ZIPBdUIa9duzb379/n+++/Jz09ndWrVxcqclUw1vXr1wH44YcfiIiIAGD8+PFK3KRJkzA3N6d+/fqkpqayd+9e7ty5w9q1azUqm589e5YVK1bg5OSEsbExFy9eJDAwkI4dOzJs2DCNsadPn86ZM2e4evWq0ta1a1dcXV1p2LAhurq6nDt3jgMHDtCkSRMGDhyoxO3fv5+dO3fi7OyMlZUVaWlpHD9+nN9++41OnTrRtGnTMvwFhRBCCCGEEEII8booc4JzzJgxDB48mPz8fNq3b8+cOXMKJe+0tLSoVKkSenp6Zeq7b9++dO3alQ4dOmBubk58fDzbtm3j4cOHGpWWJ02axPnz5xk7diwffPABDg4OPHr0iO3bt3P27FkWLVqEubm5Rt/3798vcqtwly5dip1PcnIyFy5cID8/n6SkJM6fP8/OnTupWLEiS5YsQVtbm/j4eM6ePctHH32Eo6NjoT769OlDQEAAKSkpVK5cuchxjI2NGTJkCGvWrOHGjRsaq9uKm9PTrK2tNVbB/fXXX1y4cIHc3Fzu3bvHTz/9RFhYGD169FCKvxSs3hwzZgxWVlYa/bVq1Yq1a9cSEhKikeC8du0aeXl5ZGdnc+fOHUJCQjhx4gRDhw4ttKpPrVYXOVdTU9NC471qevbsibW1NRs3bmTAgAFMmzaNgwcPEhISwoMHDzhz5gzW1tZ8/vnneHp6ajwbHh5OUFCQch0VFUVUVBTw+NzJggRnv379MDExYe3atWzYsIHU1FRsbGyYM2cOHh4eGn02bdqU0NBQ4uPjMTIyon379kyePLnI33np0qUa13v37lX+/ckEZ7NmzQgMDGTXrl3o6+vTqlUrFi9eXOgs3Bo1aqCjo8OGDRtIS0vD0tKSyZMnM2LEiFKt6O3bty/nz58nLCyM7OxsLCwsGDNmDOPGjaNSpUpKXKtWrTh//jwHDhzgwYMHVKhQARsbG3x9fXF3d+fatWvPHEsIIYQQQgghhBCvnzInOPX19dHX1yc7OxtfX18aNmyobJ99XhMmTODnn39mwYIFynbURo0asXnzZmW1JDyuCr1161Y2btxISEgIq1atolKlSrRs2ZLt27fTokWLQn1fuXKFSZMmFWo/duxYsfM5d+4cAwcORFtbm8qVK2NjY8OwYcMYNGiQ8s4HDhxArVbz7rvvFtmHm5sbmzdvJiwsjPfff7/YsUaOHMm2bdtYt24dCxYseOacnvb111/zzjvvKNcFBV50dXWpVq0ab731FkuXLsXFxUXZ4hsSEkLLli2LTIJVqFCBPn368P3335OWlqa0F6zS1NfXx9TUlObNm7Np06Yit0FnZmYWOdf333+fuXPnFvuO/xXu7u64u7sXeU9bW5tDhw4p1wWrLAF8fHxwc3MrMuENsGDBghL/xk/q2LGjxjbt4vj6+pZ6Be2TqydL8sEHH/DBBx88M87a2poNGzaUqk9/f/9CbV999VWpnrW1tS2UnC0g528KIYQQQgghhBBvLq38gvLXZZSfn4+trS0zZswotEJNiBft0qVLAOw4codbMQ9f2jh1VCbMm+T67MASPCvBKV689PR0oqOjadKkCQYGBv/2dMR/iHwboiTyfYjiyLchSiLfhyiJfB+iOPJtiJJERkaipaWl1GsRZVfuijBaWlrUqVOHhw9fXrJJiKepzKs+O+hf7t/Z2RmVSvUCZiOEEEIIIYQQQgghnuW5Sl5/+OGHLFiwgF69ekkFY/GP+NjT6aWPoVbno62t9ezAYjg7O7/A2QghhBBCCCGEEEKIkjxXgvPixYsYGxvTt29f2rRpg0qlQl9fv1DczJkzn2cYIQDIzs4mIyNDo/DMy/A8yU0hhBBCCCGEEEII8c96rgTntm3blH8/efJkkTFaWlqS4BQvTDmPjBVCCCGEEEIIIYQQr6nnSnD+8ccfL2oeQpRKQQV4IYQQQgghhBBCCCEAtP/tCQhRWrq6ui99e7paLStEhRBCCCGEEEIIIV4lz7WCU4h/2oodvxGTkPRS+laZV33uIkY+Pj64ubnh6Oj4gmYlhBBCCCGEEEIIIUry3AnOY8eOsXnzZqKiokhJSSnyjMTo6OjnHUYIAGISkrgV8/CljxMYGIivr69yraOjg6mpKU5OTnh7e1OjRo1y9RsQEMCpU6eIjIwkNjYWNzc3FixYUGTs5cuXWbZsGZcvXyY9PR1LS0v69+/P4MGD0dHRUeLmzZvH2bNniYmJISsrCwsLC1xdXRk1ahSGhoZK3OnTpxk2bFiRY+3atQt7e3uNtuzsbDZu3Mi+ffuIiYmhcuXKNGvWjC+++IKaNWtqzHPJkiWcP3+e/Px8WrRowSeffEKTJk1K9ZvEx8czb948fvvtN9RqNY6Ojvzf//0fVlZWGnEpKSmsWrWKn376ibi4OExNTWnXrh0TJkzA2Ni4VGMJIYQQQgghhBDi9fNcCc6wsDAmT55M/fr1cXV1ZceOHfTp04f8/HyOHDlC7dq1cXZ2flFzFS9Iv379uHr1Ktu3b8fBwaHQ/fPnz7Np0ybOnTvHo0ePMDQ0pFGjRri6uuLu7o6uri4Ay5YtY+PGjZw/f155tlGjRsq/V6xYkVq1atG5c+dXNgnl5eWFpaUl2dnZXLhwgaCgICIiIggJCUFPT69QfG5uLtnZ2cX2t379etLS0rC1teX+/fvFxl2+fBkPDw/q1KnDBx98gL6+Pr/88gtz587l9u3bGoW7Ll26RKtWrXB3d0dPT4+oqCjWrl3LiRMn2L59O9ramidRDB06FFtbW402a2trjeucnBw+/PBDzp8/T//+/WnUqBHJyclcvHiRlJQUJcF55coVBg0aRK1atZgwYQJqtZqAgACGDBnC7t27qVu3bvE/LpCWlsawYcNISUnhww8/pGLFimzevJkhQ4awb98+TExMAFCr1YwcOZIbN27g6emJjY0Nf/31FwEBARw/fpy9e/eWOI4QQgghhBBCCCFeX8+V4FyzZg12dnYEBASQlJTEjh07eO+992jXrh13795l4MCBWFpavqi5ihfg2rVrXL16FYDg4OBCCc6AgAC+/PJLHBwcmDZtGiqViqSkJCW5BuDh4VHiGEOHDqVPnz5kZWVx5swZVq9eza1bt1i/fv3LeamXqFOnTkoysH///piYmLBu3ToOHz6Mq6sr8Hhl4bx58wgNDSU9PZ3g4GAMDAxo2bIlS5YsoUqVKkp//v7+WFhYoKWlRYsWLYodd9euXQBs27ZNSQx7eHgwZMgQgoKCNBKcO3bsKPS8tbU1CxcuJDIystDKTAcHB3r16lXie2/evJmzZ88SEBCAnZ1dsXFLly5FX1+fnTt3KsnIfv364eLiwpIlS1i2bFmJ4wQEBHDr1i12796tjNOxY0f69u3Lpk2bmDJlCgAXLlzg0qVLzJo1i8GDByvP29jY8H//93+cPn2aWrVqlTiWEEIIIYQQQgghXk/PVWToxo0buLq6oqOjQ4UKj3Olubm5AFhaWuLp6cm6deuef5bihQkODkZbWxtHR0dCQ0PJyclR7v3xxx/MnTuXd999l61bt/Luu+/SunVrnJ2d+eKLLwgODqZ27drPHKNWrVrY29vj6OjIxIkTcXd359dffyUhIeFlvto/oiAhfOfOHaVt7ty5BAcHM3LkSJycnPDy8mLixImkpaWRkZGh8bxKpSpVJfjU1FT09PQ0kqMAZmZm6OvrP/N5lUoFQHJycrH9F/y3+jS1Ws3WrVtxdnbGzs6O3NzcQu9R4Pfff6ddu3ZKchPA3NycNm3a8PPPP5OWllbiPMPCwrC1tdVIotarV4927drx448/aswXwNTUVON5MzMzgCJX0wohhBBCCCGEEOLN8FwJTn19fSpWrAhAlSpV0NXV1dh2W716de7evft8MxQvTH5+PiEhIbRt25aRI0fy6NEjfv31V+X+1q1b0dbWZvr06UUm4erUqUO7du3KPG7BWYyxsbHln/x/RExMDIBG4vHo0aO4ubnh5eWFubk5Dg4OjBo1ip07d5b7rM42bdqQmprKrFmzuHHjBjExMezYsYNDhw4xduzYQvG5ubkkJiYSHx/P8ePH+fbbbzE0NCxy9aWvry+tWrXCzs6OoUOHcunSJY37169fJyEhgUaNGvHZZ59hb2+Pvb09ffv25dSpUxqx2dnZRSZc9fX1ycnJ4dq1a8W+o1qt5urVqzRr1qzQPVtbW27fvq0kNps1a4aBgQFLly7l5MmTxMfHc+bMGfz8/LC1tZWiTkIIIYQQQgghxBvsubao29jYcOPGDeW6SZMm/PDDD/Tr14+8vDxCQkJk2+h/yLlz54iJieHjjz+mQ4cOGBsbExISQrdu3QA4c+YMzZo1e+FnZd67dw9tbW0sLCxeaL//hNTUVBITE8nOzubixYssX74cXV1dunbtqsTo6OgUu8KxvAYMGMD169fZtWsXu3fvVsb57LPP8PT0LBR/+fJlBg4cqFzb2NiwatUqjb9lxYoVcXFxoVOnTpiYmHDjxg02bNjA4MGD2blzJ2+99RYAf/31F/B4m7qxsTFffPEF8PhIijFjxrBnzx4aN26sjHPhwgXy8vKUwkfZ2dlERkYCjwsIFefRo0dkZ2crqzCfVNCWkJCAkZER1apVY8mSJcycOZMRI0YocR06dOC7774r1apYIYQQQgghhBBCvJ6eK8HZs2dP/P39mT59Orq6uowbN47x48fTunVrADIyMpg3b94Lmah4fgWFcXr27Kkku/bv309aWhqGhoYkJCQUueLvya3M2trahYrWPE2tVivFdk6fPs2OHTsYOHBgkYms/7onk2nweOu3n5+fRhVxd3d31q1bR05ODjExMS9kK76Ojg5WVlZ06NCBXr16oaury4EDB/jqq68wMzMrVLyrfv36bNq0ifT0dM6fP8/JkydJT0/XiGnZsiUtW7ZUrrt3746Liwv9+vVj8eLFbNiwAUDZVp6Wlsa+ffuU/5Oibdu29OzZk/Xr17No0SIABg0axOzZs5kxYwZjxoxBrVazatUqZSV3ZmZmse+YlZUFoBStelLBlvOCGIBq1arx1ltv0bJlS+rXr88ff/zB+vXr8fX1LbYSvRBCCCGEEEIIIV5/5UpwZmVlcfjwYXJzc/noo4949OgR5ubmdO3aFX9/f8LDw9HR0aFz5860bdv2Rc9ZlENubi6hoaF07tyZypUrA9C3b1927drFoUOHePfddwEKrYS7dOkS77//vnLdpUsX1qxZU+JYixYtUhJgAK1atdIoivMqmTVrFjY2NqSkpLB3717Onj1bKCHn7e2NSqVi9+7dREVFMW3aNBYsWMDIkSMZNWrUMxPCRVm7di1bt24lLCwMQ0NDAFxdXRk6dChz5syhS5cuyrm3AEZGRrRv3x4AZ2dngoODGT9+PEFBQcpqy6LUrl2b7t27Ex4erqzCLNhy3rJlS40V2BYWFrRs2ZLz588rbZ6ensTFxbFhwwaCgoKAx9vJR48ezerVq5W5F6UgiVlU1fmCxGZBzJ07dxg2bBgLFy7ExcVFeU+VSoWPjw99+vQpdD6nEEIIIYQQQggh3gxlTnD+/fffeHh4cPfuXfLz89HS0kJfX58VK1bQvn17HBwcClXmFv++3377jcTERLp27aoUnmnYsCFmZmaEhITw7rvvYm5uTlxcnMZz9evXZ8+ePQB8/vnnpRpr2LBh9OvXj4yMDPbv38/u3btZunQpU6dOfbEv9Q+ws7NTqqg7OzszaNAgpk6dSmhoqJK809bWxsPDAw8PD3x8fKhbty5XrlzBz88PtVpd5JmZzxIQEICjo2OhBGH37t2ZP38+MTExJRZ86tmzJ59++ikHDhwoMcEJULNmTXJycsjIyMDIyAhzc3Pg8Rm6TzM1NSU6Olqjzdvbm1GjRnHt2jUqV65Mo0aN+Oabb4DH57YWx9jYuNC5vQUK2grmEhgYSFZWlsbRAIByvMLFixeVfxdCCCGEEEIIIcSbpcxLy1auXElMTAwjRoxgzZo1+Pr6oqenx6xZs17G/MQLEhwcDDwuMNO6dWtat25NmzZtuH//PidPnuTvv/+mTZs2XLp0iaSkJOW5SpUqYWtri62tbYmr8Z5Us2ZNbG1tadOmDV999RVdu3Zl06ZNr3yRIR0dHaZMmUJCQgLbt28vNq558+YsXbqUhg0bEhoaWq6xHjx4gFqtLtReUPW+uAroBbKzs1Gr1aSkpDxzrLt376Knp4eBgQHwOPFdsWLFIs/PTEhIoFq1aoXaq1atioODA40aNQLgxIkT1KxZk7p16xY7rra2Ng0bNuTy5cuF7kVGRmJlZYWRkRHw+P9Yyc/PJy8vTyOu4Hd41u8hhBBCCCGEEEKI11eZE5zHjx/nnXfeYfr06XTu3Jlhw4Yxa9YsYmJi+N///vcy5iieU0ZGBocPH8bZ2ZmtW7dq/PPNN9+Qm5vLwYMHGTZsGHl5eXz99dcvdPxPP/0UtVqtnPH4KnN0dMTOzo4tW7Yo26ifTAgXyM/PR61WF1lhvDRsbGw4ceIEDx8+VNry8vL48ccfMTQ0xNraGoDk5GQl6fmkgsJET1YoT0xMLBT3xx9/cOTIEZycnJSt9EZGRnTq1Inz589rFBG7ceMG58+fV7bCF+fgwYNcunSJ4cOHa2zPv3fvnkZ/AC4uLly6dEmjkvv//vc/Tp06Ra9evZS2OnXqkJ+fz48//qjxfEhICMAzV6kKIYQQQgghhBDi9VXmLeqxsbG0atVKo61Vq1bk5+fz999/l7hiS/w7Dh8+THp6OkOHDsXR0bHQ/fXr1xMSEsLQoUOZMWMGX375JXfu3MHd3R1LS0vS0tK4fPkyV69epUOHDmUev27duri6urJnzx4+/vhjTExMXsRr/WtGjx7NpEmTCAwMxNPTkx49euDu7k6bNm34+++/OXPmDP7+/ly/fp3Zs2drPHvkyBH++OMP4PFqzKtXr7Jy5Urg8XbrgkTdBx98wCeffMKAAQMYMGAA+vr6HDhwgCtXrjB58mQqVqwIPK58/9VXX+Hi4kLt2rXJyckhIiKC8PBwmjVrRr9+/ZSxJ0+ejL6+Pi1atMDU1JTr16/z/fffo6+vz7Rp0zTmOWXKFE6ePMnw4cMZNmwYAFu3bqVq1aqMGzdOiTt79iwrVqzAyckJY2NjLl68SGBgIB07dlSeKzB9+nTOnDnD1atXlbZBgwaxe/duPvzwQ0aNGkWFChXYvHkzpqamjBo1Solzc3Nj48aNzJo1i6ioKBo0aMCVK1fYs2cPDRo0oFu3bly/fr1cf08hhBBCCCGEEEK82sqc4MzOzlYKfxQoKLoi20T/m0JCQrCwsCgyuQnw7rvvMm/ePG7fvs2gQYNo3LgxmzZtws/Pj0ePHmFoaEjjxo3x9vbmvffeK9ccxo8fz8GDB9m2bRsTJ058ntf51/Xs2RNra2s2btzIgAEDmDZtGgcPHiQkJIQHDx5w5swZrK2t+fzzz/H09NR4Njw8XCnGAxAVFUVUVBTweGt/QYKzX79+mJiYsHbtWjZs2EBqaio2NjbMmTMHDw8P5fmGDRvi6OjI4cOHuX//Pvn5+VhbW/Pxxx8zevRojYJIBcWHNm/eTGpqKiYmJvTo0YMJEyYUOs+zfv36bNu2jUWLFrFq1Sq0tLRo27Ytn376KTVq1FDiatSogY6ODhs2bCAtLQ1LS0smT57MiBEjNIogFcfIyAh/f3/mzZvHqlWrUKvVODo64uvrq7EV3sTEhL1797J06VJ+/vlndu7cibGxMe+99x7e3t5KwlcIIYQQQgghhBBvHq38/Pz8sjzQuHFjJk+eTMeOHZW2lJQURowYwezZs5WCLE9q2rTp889UvNEKtjDvOHKHWzEPnxFdPnVUJsyb5Ppcffj4+ODm5lZsMlm8HOnp6URHR9OkSRPlLFEhQL4NUTL5PkRx5NsQJZHvQ5REvg9RHPk2REkiIyPR0tIqMqcmSqfMKzgBli5dytKlSwu1z5kzR+O6oMr601WXhSgvlXnVV7JvIYQQQgghhBBCCPFylDnBOX/+/JcxDyFK5WNPp5fav1qdj7a2Vrmfd3Z2RqVSvcAZCSGEEEIIIYQQQoiSlDnB6ebm9jLmIcQzZWdnk5GRQaVKlV7aGM+T3ITHCU4hhBBCCCGEEEII8c/R/rcnIERZlPHIWCGEEEIIIYQQQgjxmpMEpxBCCCGEEEIIIYQQ4pUlCU7xStHSer4t5EIIIYQQQgghhBDi9SIJTvHK0NXVfannb8LjIkPPw8fHh9OnT7+g2QghhBBCCCGEEEKIZylzkSEh/k0rdvxGTELSS+lbZV5VqdIeGBiIr6+vck9HRwdTU1OcnJzw9vamRo0a5RojICCAU6dOERkZSWxsLG5ubixYsKDI2MuXL7Ns2TIuX75Meno6lpaW9O/fn8GDB6OjowPAw4cP2bt3Lz///DM3btwgNzeXunXrMmLECFxdXTX6O336NMOGDStyrF27dmFvb6/Rdu7cOfz8/IiKisLIyIi3334bb29vDA0NNeJu3brF0qVLiYiIICkpiVq1atGnTx9Gjx5dqoT0gQMHWL9+PdevX8fQ0JBu3boxbdo0qlWrpsQ8/fd42ty5c7GxsXnmWEIIIYQQQgghhHj9SIJTlNmyZctYvny5cm1iYkLDhg3x8vJi6dKlnDlzpsTnS0rqPUtMQhK3Yh6W69ny8PLywtLSkuzsbC5cuEBQUBARERGEhISgp6dXKD43N5fs7Oxi+1u/fj1paWnY2tpy//79YuMuX76Mh4cHderU4YMPPkBfX59ffvmFuXPncvv2bWbOnAnAhQsX+Pbbb+nUqRMfffQRFSpUICwsDG9vb65fv46Xl1ehvocOHYqtra1Gm7W1tcZ1dHQ0I0aMoF69evj4+BAXF8fGjRu5desW69evV+JiY2Pp378/lStXZsiQIVStWpULFy6wbNkyrly5wqpVq4p9R3ic8J0zZw7t2rXDx8eH+Ph4tm7dyuXLl9m9e7fyG7du3Zqvv/660PNbtmzhjz/+oE2bNiX+nkIIIYQQQgghhHh9SYJTlIu+vj5btmwBIC4ujpUrVzJixAj27NlDZmamEjdnzhz09fWZPn260vbkyrz/uk6dOinJwP79+2NiYsK6des4fPiwskIyJSWFefPmERoaSnp6OsHBwRgYGNCyZUuWLFlClSpVlP78/f2xsLBAS0uLFi1aFDvurl27ANi2bRvGxsYAeHh4MGTIEIKCgpQEZ/369QkLC0OlUinPDho0iBEjRrBu3TrGjBmDgYGBRt8ODg706tWrxPf+5ptvqFKlCv7+/hgZGQFgaWnJzJkzOX78OB06dADghx9+IDk5mYCAABo0aADAwIEDUavV7Nu3j6SkJKpWrVrkGNnZ2SxZsoTWrVuzadMm5XzVFi1aMG7cOL7//nuGDh0KgJWVFVZWVhrPZ2ZmMmfOHNq2bUv16tUlwSmEEEIIIYQQQryh5AxOUS7a2trY29tjb29Pr169WL16Nbm5uXz//fdKu729PUZGRlSpUkWj7enVgq8SBwcHAO7cuaO0zZ07l+DgYEaOHImTkxNeXl5MnDiRtLQ0MjIyNJ5XqVSlKpSUmpqKnp6eRnIUwMzMDH19feXayspKI7kJjwsxOTs7k52drTHPp/vPzc0t9t6JEyfo16+fktwEeOeddzAwMODHH3/UiAUwNTUtNE9tbW0qVqxY7Dteu3aN5ORk3n77bY3fpGvXrhgYGHDgwIFinwU4cuQIaWlp9O3bt8Q4IYQQQgghhBBCvN4kwSleCAsLC6pVq8bdu3f/7am8VDExMQAaicejR4/i5uaGl5cX5ubmODg4MGrUKHbu3FnuszrbtGlDamoqs2bN4saNG8TExLBjxw4OHTrE2LFjn/n8gwcPgMfHBzzN19eXVq1aYWdnx9ChQ7l06ZLG/atXr5Kbm0uzZs002nV1dWnSpAnR0dEa8wSYMWMG0dHRxMbGcvDgQXbs2MHQoUMLrR59UsFW/icTtgX09fWJjo5GrVYX+3xwcDD6+vr06NGj2BghhBBCCCGEEEK8/mSLunghUlNTefToEebm5v/2VF6o1NRUEhMTyc7O5uLFiyxfvhxdXV26du2qxOjo6BRaqfm8BgwYwPXr19m1axe7d+9Wxvnss8/w9PQs8dlHjx6xe/duHBwcNP4eFStWxMXFhU6dOmFiYsKNGzfYsGEDgwcPZufOnbz11lsAylbvov6WZmZmREREKNedOnVi0qRJrFmzhiNHjijt48aNw9vbu8R51q5dGy0tLc6dO8d7772ntP/vf/8jMTERgKSkpCKTtI8ePeLXX3/F2dkZIyMj0tPTSxxLCCGEEEIIIYQQry9JcIpyK9jiHBcXx8KFC8nLy8PFxeVfntWLNWLECI1rlUqFn58fNWvWVNrc3d1Zt24dOTk5xMTEkJCQ8Nzj6ujoYGVlRYcOHejVqxe6urocOHCAr776CjMzM5ydnYt8Tq1WM23aNJKTk/nss8807rVs2ZKWLVsq1927d8fFxYV+/fqxePFiNmzYAKCcoaqrq1uofz09PY0zVuHxb+Lg4ICLiwvGxsYcPXqUNWvWYGZmxpAhQ4p9x2rVqvH222+zb98+6tWrR48ePYiPj+fLL7+kYsWK5OTkkJWVVeSzYWFh5OTkyPZ0IYQQQgghhBBCSIJTlE96ejpNmzZVrqtWrcqsWbPo2LHjvzirF2/WrFnY2NiQkpLC3r17OXv2bKHEn7e3NyqVit27dxMVFcW0adNYsGABI0eOZNSoUWhrl/0kiLVr17J161bCwsIwNDQEwNXVlaFDhzJnzhy6dOlChQqF//P98ssv+fXXX1m4cCGNGzd+5ji1a9eme/fuhIeHk5eXh46OjrJlvKhq8FlZWRpbyg8cOMCsWbMICwtTkr49e/YkPz+fRYsW0bt37yJXYBb44osvyMzMZOHChSxcuBCAfv36YW1tTXh4eLFb3IODgzE2NqZTp07PfEchhBBCCCGEEEK83iTBKcpFX1+fbdu2oaWlhYmJCbVq1SpXIu+/zs7OTqmi7uzszKBBg5g6dSqhoaFK4lFbWxsPDw88PDzw8fGhbt26XLlyBT8/P9RqdanOzHxaQEAAjo6OyhgFunfvzvz584mJiaF27doa95YvX05AQABTp07l3XffLfVYNWvWJCcnh4yMDIyMjDAzMwMociXq/fv3NbauBwQE0KRJE40VrQDdunUjMDCQ6Oho2rdvX+zYlStXZtWqVdy7d4+YmBgsLCxQqVR4eHhQrVq1QkWWAO7du8fvv//OgAEDSixiJIQQQgghhBBCiDfD65eREv8IbW1tbG1tadasGSqV6rVMbj5NR0eHKVOmkJCQwPbt24uNa968OUuXLqVhw4aEhoaWa6wHDx4UWWAnJycHoFAF9O3bt7Ns2TKGDx9e5oTq3bt30dPTU1ZLNmzYkAoVKnD58mWNuOzsbKKjozVWhpZ1nsWxsLCgdevWqFQqkpOTuXz5crGJ0ZCQEPLz8+nXr1+p+hZCCCGEEEIIIcTr7fXPSgnxAjk6OmJnZ8eWLVuU8yGTkpIKxeXn56NWq4usEF4aNjY2nDhxgocPHypteXl5/PjjjxgaGmJtba20Hzx4kK+++oq+ffvi6+tbbJ8FhXue9Mcff3DkyBGcnJyUJHXlypVp164d+/fvJzU1VYn94YcfSE9Pp1evXhrzjIqK4ubNmxr9HjhwAG1tbRo1aqS03bt3jxs3bjzz3RcvXkxeXh7Dhw8v8n5ISAgWFha0atXqmX0JIYQQQgghhBDi9Sdb1IUoo9GjRzNp0iQCAwPx9PSkR48euLu706ZNG/7++2/OnDmDv78/169fZ/bs2RrPHjlyhD/++AN4vMrx6tWrrFy5Eni8rbtgdeQHH3zAJ598woABAxgwYAD6+vocOHCAK1euMHnyZGVrdmRkJJ9++inGxsZKUvJJLVu2xMrKCoDJkyejr69PixYtMDU15fr163z//ffo6+szbdo0jee8vb3x8PBg6NChDBgwgLi4ODZt2kSHDh00zr0cPXo0v/zyC4MHD2bw4MFKkaFffvmF/v37U6NGDSV2+vTpnDlzhqtXrypta9eu5c8//6R58+bo6Ohw+PBhjh8/zuTJk7Gzsyv02//5559cvXqVsWPHoqWlVaa/mxBCCCGEEEIIIV5PkuAUoox69uyJtbU1GzduZMCAAUybNo2DBw8SEhLCgwcPOHPmDNbW1nz++ed4enpqPBseHk5QUJByHRUVRVRUFPD4LMyCBGe/fv0wMTFh7dq1bNiwgdTUVGxsbJgzZw4eHh7K89evXycnJ4fExET+7//+r9Bc58+fryQ4nZ2dCQ4OZvPmzaSmpmJiYkKPHj2YMGFCofM8mzZtyqZNm1i0aBHz58/H0NCQ999/nylTpmjEtW7dmp07d7Js2TJ27NjBo0ePUKlUeHt7M2bMmGf+lg0bNuTQoUMcOXIEtVpNo0aN+Pbbb3n77beLjA8ODgagT58+z+xbCCGEEEIIIYQQbwat/Pz8/H97EkI8y6VLlwDYceQOt2IePiO6fOqoTJg3yfW5+vDx8cHNzQ1HR8cXNCtRGunp6URHR9OkSZNiK6+LN5N8G6Ik8n2I4si3IUoi34coiXwfojjybYiSREZGoqWlpRQ5FmUnZ3AKIYQQQgghhBBCCCFeWbJFXbxSVOZV/9N9Ozs7o1KpXsBshBBCCCGEEEIIIURpSIJTvFI+9nR6qf2r1floa5e/eI2zs/MLnI0QQgghhBBCCCGEeBbZoi5eGdnZ2WRkZLzUMZ4nuSmEEEIIIYQQQggh/nmS4BSvFKmJJYQQQgghhBBCCCGeJAlO8UrR0pIVlkIIIYQQQgghhBDi/5MEp3hl6OrqUqlSpZfSt1r9fCtDfXx8OH369AuajRBCCCGEEEIIIYQoLSkyJF4pK3b8RkxC0gvtU2VeVSleFBgYiK+vr3JPR0cHU1NTnJyc8Pb2pkaNGuUaIyAggFOnThEZGUlsbCxubm4sWLCg2PgTJ06wevVqrly5glqtxsbGhjFjxuDq6qoRl5qaysqVKwkNDSUhIQETExNatGjBwoULi00Gz5w5k927d9OlSxfWrFmjcS8rK4vNmzfzww8/EBMTQ5UqVWjRogUTJ06kQYMGGrHJycn4+flx6NAhMjMzsbW1xcfHh6ZNmz7z9/Dx8SEoKKhQu42NDaGhocp1fHw8fn5+XLp0iYSEBHR0dKhTpw6DBw/m3XfflRW9QgghhBBCCCGEkASneLXEJCRxK+bhSx/Hy8sLS0tLsrOzuXDhAkFBQURERBASEoKenl6h+NzcXLKzs4vtb/369aSlpWFra8v9+/dLHHvv3r3MmDEDJycnpkyZgra2Njdv3iQ2NlYjLiUlhSFDhhAXF8fAgQOxtrYmMTGRiIgIsrOzi0xwXrp0iaCgoCLfAWDatGkcOXKE/v3707RpU+Lj4wkICGDgwIEEBwejUqkAUKvVjB07lqtXrzJ69GhMTEwICAhg6NChBAYGUqdOnRLfER6vyP3qq6802ipXrqxx/fDhQ+Lj4+nVqxe1atUiNzeX3377DR8fH27evMmUKVOeOY4QQgghhBBCCCFeb5LgLIfDhw+zfft2Ll++THp6Oubm5nTo0IGRI0diY2NDt27d6NKlC7NmzQIKrwo0MDCgRo0atGjRAk9PT+zs7IocJyoqCjc3N6ytrTl06FCh+8uWLWP58uXA47MpDQ0NsbCwoHXr1gwePJh69eoV2e+hQ4eYMGECbdu2ZcuWLYXuF6yue+edd/j666817o0fP56UlBT8/f0BOH36NMOGDWPPnj3Y2tpqxCYmJtKxY0d0dXU5efIk+vr6xf2k/zmdOnVS3qd///6YmJiwbt06Dh8+rKyiTElJYd68eYSGhpKenk5wcDAGBga0bNmSJUuWUKVKFaU/f39/LCws0NLSokWLFsWOe/fuXb744guGDBnCzJkzS5zj4sWLuXfvHoGBgVhZWT3znfLz85k7dy7vvPMOp06dKnQ/Pj6e8PBwRo0axfTp05V2BwcHhg8fzqFDhxgxYgQAoaGhnD9/nqVLl9KrVy8A3n77bVxcXFi2bBmLFy9+5nwqVKjAO++8U2JM48aNlW+twJAhQxg3bhz+/v5MmjQJHR2dZ44lhBBCCCGEEEKI15ecwVlGixYtYvz48RgZGfHll1+yadMmPv74Y65fv463t3eJz65fv55du3axcuVKhg0bxp9//smAAQNYu3ZtkfHBwcEA3L59m4sXLxYZo6+vz65du9i5cyffffcd7u7unDhxgnfeeYcffvihxH7PnDlDfHx8sfMNCQnh9u3bJb5TSQ4ePEhubi7p6ekcOXKk3P38Fzg4OABw584dpW3u3LkEBwczcuRInJyc8PLyYuLEiaSlpZGRkaHxvEqlKtV26p07d5KXl8ekSZMASEtLK7JyfHJyMoGBgQwYMAArKyuys7NLXEEK8MMPP/Dnn38W+52mpqYCUL16dY12MzMzAI1Vn2FhYVSvXp2ePXsqbdWqVePtt9/m8OHDz5xLgby8PGXcslCpVGRkZJCTk1PmZ4UQQgghhBBCCPF6kQRnGRw7dox169Yxfvx4vvvuO1xcXGjdujXvvfceAQEBSlKqOE2bNsXe3p527doxaNAgdu/eTd++ffnmm2/4/fffNWLVajUHDx6kVatW6OnpKUnJp2lra2Nvb4+9vT1OTk6MHDmSH374gVatWjFjxgyNhBw8TmIdPXqU9u3bK2MUpU6dOpiZmbF69eoy/EKaQkJCqFevHjVq1GD//v3l7ue/ICYmBkBjVebRo0dxc3PDy8sLc3NzHBwcGDVqFDt37iz3WZ0nTpygbt26HDt2jE6dOtGyZUscHR359ttvUavVSlxERARZWVnUrl0bLy8v7O3tsbOzw8PDg+jo6EL9pqamsmjRIsaNG6ckLJ9mbW1NzZo12bRpE0eOHCEuLo7IyEhmz56NpaUlvXv3VmKjo6N566230NbW/J8QW1tbMjIyuHnz5jPfNSMjg1atWtGqVSvatGnDnDlzSEtLKzI2MzOTxMRE7t69S1BQEIGBgdjb279Sq4KFEEIIIYQQQgjxckiCsww2btxI9erVGT9+fJH3u3btWqb+tLW1mTFjBrq6uuzYsUPj3tmzZ4mLi8PDw4MuXbpw8OBB8vLyStWvnp4en332GTk5OezevVvjXnh4OFlZWUyYMIGmTZsWmzitWLEiH3zwAfv371eSe2Vx584dzp8/T9++fenduzfHjx/n0aNHZe7n35KamkpiYiJxcXGEhYWxfPlydHV1Nf7GOjo6hVZqPq+//vqLuLg4fH19ee+99/juu+/o2LEjq1atYsmSJRpx8HibemxsLAsXLmTWrFncuXOH4cOHk5CQoNHvihUr0NPTU7aYF6VixYosW7aMSpUq8dFHH9G5c2f69+9PWloaO3fu1Eju3r9/v8hEqbm5OUCh8Z9mZmbGmDFjmDdvHt988w3dunUjICCAMWPGkJubWyh+69attGvXju7du+Pj40Pz5s01fg8hhBBCCCGEEEK8ueQMzlLKzc3l3Llz9OzZk4oVK76wfo2NjWnatCnnz5/XaA8ODqZSpUo4Ozujr69PWFgYJ06coGPHjqXqt379+tSoUaPIflUqFS1btqRv374sWLCA//3vf9StW7dQH/3792f16tWsWbOGL774okzvFRISAkCfPn1ITk5m48aNhIaG4uHhUaZ+/i1PJwJVKhV+fn7UrFlTaXN3d2fdunXk5OQQExPzzKReaaSnp6NWq5k6dSpjx44FwMXFhaSkJLZu3cqHH36IkZGRstJRS0uLzZs3Y2hoCMBbb73FwIED2b59u7IV/ebNm/j7+7N48WJ0dXVLHL9KlSo0adKEXr160bx5c27fvs2aNWuYNGkSmzZtUrapZ2ZmFtlXQVtWVlaJ40ydOlXjunfv3tSpU4clS5YQFhamsVq04H6zZs1ITEzk559/5u+//yYzM7PEMYQQQgghhBBCCPFmkBWcpfTo0SOys7OxsLB44X3XqlWLBw8eKNfZ2dmEh4fTrVs3DAwM6NKlC5UrVy52tWVp+71//z6nT5+md+/eaGlp4erqira2drH96unpMXr0aAIDA4mLiyvT2AcOHMDe3h4rKyuaNm1K3bp1yzz/f9OsWbPYtGkT3333HZ07d+bhw4eFEnre3t7Mnj2bu3fvcuXKFaZNm4aTkxPr16/X2E5eFgVbrvv06aPR3qdPHzIzM5Xt5wVxXbt2VZKbAPb29lhaWmoktufOnUuLFi1wcXEpceyUlBQGDx6Mvb09U6dOxdnZmVGjRrFs2TIiIiLYu3evxjyLOmezoK24Ku0lGTFiBNra2pw4caLQPZVKRfv27enTpw+LFy/GysqKkSNHSpJTCCGEEEIIIYQQkuAsq9IUiimr/Px8jX5/+eUXkpKSlCSXrq4uPXr04NChQ2VK6Dzdb8E294J+a9SoQevWrZXVlkXx8PCgcuXKxRZCKsoff/zBtWvXNJJ0vXv3JiIignv37pW6n3+TnZ0d7du3x8XFhVWrVtGwYUOmTp2qcUaktrY2Hh4e7N27l3feeYepU6fi4OCAn58f69evL9e4BVu8ny70U61aNQCSkpJKjAMwNTUlOTkZgJMnT/Lrr78ybNgw7t69q/yTm5tLZmYmd+/eVYr8hIWF8eDBA7p166bRX5s2bTAyMuLcuXNKm5mZGffv3y80dsEq1oL5lYW+vj7GxsbKO5bExcWF2NhYzp49W+ZxhBBCCCGEEEII8XqRBGcpGRsbo6en91ISdHFxcRqJquDgYCpXroy9vT3JyckkJyfTtWvXMlcjL6pfGxsbatWqpfTbrVu3Equ0V6pUiZEjR7Jnz55Sb8Hev38/2tradOjQQRmnc+fO5Ofnl5hM/a/S0dFhypQpJCQksH379mLjmjdvztKlS2nYsCGhoaHlGqtp06YAharbF/z2BYnO4uIKYgviYmNjAZgwYQLdu3dX/omPj+fUqVN0796dPXv2APD3338DFDrrNT8/H7VardHeuHFjoqKiCq1UjYyMpFKlStjY2JT53VNTU3n48KEy95IUJPpTUlLKPI4QQgghhBBCCCFeL3IGZylVqFCBli1bcurUKXJzc6lQ4cX8dA8fPuTy5cvK9uGCKueZmZm0a9euUPz+/ftxdXV9Zr/Xrl0jPj4eNzc34HFRmkuXLgHQunXrQvHBwcE0b968yL4GDRrEhg0bSrUqMT8/n4MHD6JWq+nVq1eR4xScLfkqcXR0xM7Oji1btjB8+HD09PRISkqiatWqGnEFycDyVvd2dXXlwIED7NmzRzlDU61WExgYiLGxMc2aNQOgbt26NG7cmMOHD5OYmKgkBY8fP05sbCxDhgwBoG3btqxYsaLQOJ999hkWFhZ89NFHNGzYEIA6deoAj1f6Tpw4UYk9fPgw6enpNGnSRGnr1asXYWFhhIeHK3/nxMREQkND6dq1q8Z2/tu3bwOPq7TD4/M5c3JyMDIy0pjTypUryc/P1zhn9sl3e9KePXvQ0tJSEr1CCCGEEEIIIYR4c0mCswxGjhzJ2LFjWb16NRMmTCh0/9ixY3Tu3LnU/anVaubNm0dOTg6DBw8G4KeffiIzM5M5c+YUWgUXFBRESEgIjx49wtjYuNh+s7Ky+PLLL9HV1aV///7A48SilpYWy5cvp3Llyhrxa9eu5eDBg/j6+qKjo1OoPyMjI4YNG8batWtp0qRJiUWWfv/9d2JjY5k4cWKhROqvv/7KunXruHr1Ko0aNSrxt/kvGj16NJMmTSIwMBBPT0969OiBu7s7bdq04e+//+bMmTP4+/tz/fp1Zs+erfHskSNH+OOPPwDIycnh6tWrrFy5EoBu3brRuHFjALp37067du1Ys2YNDx8+pFGjRhw+fJiIiAi++OILjcShr68vo0aNYtCgQXh4eJCSksKmTZuoU6cOnp6eAFhYWBR5buy8efOoXr06zs7OSlvXrl1p0KABK1as4N69ezRv3py//vqL7du3Y2Zmxvvvv6/Euri4YG9vj6+vL9evX8fExIQdO3aQl5enkRyF/1+wqWD18f3793Fzc6N3795Kcavjx49z7NgxOnbsSPfu3ZVnV61axblz5+jYsSMWFhY8evSI8PBwLl26xNChQ6ldu3bp/4BCCCGEEEIIIYR4LUmCsww6d+7MmDFjWLZsGdevX6d3796YmJhw9+5d9u7dS0pKSokJzitXrlC5cmUyMzO5efMme/fu5cqVK3zyySe0aNEC+P9VzgcOHFjovM+qVasSFBSkUY1crVZz4cIF4HEF7j///JNdu3Zx584dFixYgKWlJfC4qrmDg4NGQqtAamoq48ePL7FK+7Bhw9i0aRPnz5+nTZs2xb5jcHAwBgYGjBw5UqP4DUCDBg3YvHkzISEhr2SCs2fPnlhbW7Nx40YGDBjAtGnTOHjwICEhITx48IAzZ85gbW3N559/riQYC4SHhxMUFKRcR0VFERUVBUDNmjWVBKeWlhYrVqzg22+/5ccffyQwMBAbGxv8/Pzo16+fRp9t27Zl/fr1LF26lG+++YZKlSrh7OzMJ598Uui3Lw1dXV22b9/OypUrOXr0KCEhIRgaGuLs7Iy3t7fGSkodHR3Wrl3L119/jb+/P1lZWdja2jJ//nwlaVmcKlWq0KVLF06cOMG+ffvIy8ujdu3aTJkyhVGjRqGt/f9PzujSpQt37txh7969SqGnRo0aMX/+fGV1shBCCCGEEEIIId5skuAso4Jk5Pbt2/m///s/MjIyMDc3p0OHDowePbrEZ8eMGQOAgYEB5ubmtGzZklmzZmFnZwc8PgPx5MmTjB07tshiRo0bN6ZJkyYEBwcrCc7MzEwGDhyo9GtpaUm7du1Yvnw59erVA+Dy5cvcvHmz2Pl16tSJatWqERwcXGyCs3LlygwZMoRVq1YV+345OTmEhYXh7OxcZIKtWrVqdO7cmZCQEKZMmfJSCjY9L3d3d9zd3Yu8p62tzaFDh5TrAQMGMGDAAAB8fHxwc3PD0dGxyGcXLFjAggULSjUHQ0NDZsyYwYwZM54Z2759e9q3b1+qfp9U3FmuVatWxdfXF19f32f2UbVqVebOncvcuXPLNFaVKlXw8/Mr1TydnJxwcnIqVawQQgghhBBCCCHeTFr5+fn5//YkhHiWgvNDdxy5w62Yhy+07zoqE+ZNeva5piV5VoJTvFzp6elER0fTpEkTDAwM/u3piP8Q+TZESeT7EMWRb0OURL4PURL5PkRx5NsQJYmMjERLSwtbW9t/eyqvLFnBKV4pKvOqzw76F/p0dnZGpVK9gNkIIYQQQgghhBBCiLKQBKd4pXzs+XK2K6vV+Whrl3/LfFFnmwohhBBCCCGEEEKIl0/72SFC/DdkZ2eTkZHxUvp+nuSmEEIIIYQQQgghhPj3SIJTvFLkyFghhBBCCCGEEEII8SRJcIpXyn+x8roQQgghhBBCCCGE+PdIglO8MnR1dalUqdJL6Vutfr6VoT4+Ppw+ffoFzUYIIYQQQgghhBBClJYUGRKvlBU7fiMmIemF9qkyr6oULwoMDMTX11e5p6Ojg6mpKU5OTnh7e1OjRo1yjREQEMCpU6eIjIwkNjYWNzc3FixYUGz8iRMnWL16NVeuXEGtVmNjY8OYMWNwdXXViEtNTWXlypWEhoaSkJCAiYkJLVq0YOHChUoyOCEhga1bt3Lx4kUuX75Meno6W7duxdHRsdC4OTk5rFmzhqCgIOLj46lRowbvvfceY8eOpUIFzf+5uHXrFkuXLiUiIoKkpCRq1apFnz59GD169DMT0cuWLWP58uWF2nV1dbl06ZJynZmZyRdffKH8bmq1GisrK9577z0GDRpExYoVSxxHCCGEEEIIIYQQrz9JcIpXSkxCErdiHr70cby8vLC0tCQ7O5sLFy4QFBREREQEISEh6OnpFYrPzc0lOzu72P7Wr19PWloatra23L9/v8Sx9+7dy4wZM3BycmLKlCloa2tz8+ZNYmNjNeJSUlIYMmQIcXFxDBw4EGtraxITE4mIiCA7O1tJMt68eZN169ZRp04dGjVqxPnz54sd+5NPPiE0NJT33nuPZs2acfHiRZYuXUpsbCxffvmlEhcbG0v//v2pXLkyQ4YMoWrVqly4cIFly5Zx5coVVq1aVeI7Fpg9ezYGBgbKtY6Ojsb9zMxMrl+/TqdOnVCpVGhra3P+/Hnmz59PZGQkixcvLtU4QgghhBBCCCGEeH1JglMAhVfUmZiY0LBhQ7y8vHBwcADgwoULLF++nOjoaFJSUqhevTrNmjVj9OjRNG/evMh+dHV1sbS0xN3dndGjR6Ot/WqcitCpUydsbW0B6N+/PyYmJqxbt47Dhw8rqyhTUlKYN28eoaGhpKenExwcjIGBAS1btmTJkiVUqVJF6c/f3x8LCwu0tLRo0aJFsePevXuXL774giFDhjBz5swS57h48WLu3btHYGAgVlZWxcY1bdqU06dPY2xsTGhoaLEJzsjISH788UfGjx/PpEmTAPD09MTExIRNmzYxePBgGjduDMAPP/xAcnIyAQEBNGjQAICBAweiVqvZt28fSUlJVK1atcT5A7i4uFCtWrVi7xsbG/P9999rtHl6elK5cmW2bduGj48PZmZmzxxHCCGEEEIIIYQQry9JcAqFvr4+W7ZsASAuLo6VK1cyYsQIAgMDSUlJYdiwYXTs2JE5c+ZgaGjIX3/9xU8//URkZKSS4Hy6n8zMTE6fPs3ixYvJz89n7Nix/8q7PS8HBwfWrVvHnTt3lLa5c+cSEhLC2LFjuXDhAq1ataJSpUqEh4eTkZGhkeBUqVSlGmfnzp3k5eUpCca0tDQMDAwKFVdKTk4mMDCQoUOHYmVlpawe1dXVLdSnkZFRqcaOiIgAoHfv3hrtrq6ubNy4kR9//FFJcKampgJgamqqEWtmZoa2tnaZto6npqZiaGhYpgJSBb9ncnKyJDiFEEIIIYQQQog3nCQ4hUJbWxt7e3vl2s7Ojm7durFz506Sk5NRqVSsWLFC2Ubcrl07PDw8UKvVJfbTtm1b/vzzT8LDw1/ZBGdMTAyARtLy6NGjuLm54eXlhY+PDw4ODjg6OjJq1Khyj3PixAnq1q3LsWPH+Prrr4mPj6dq1aoMGjQILy8vZQVsREQEWVlZ1K5dGy8vL3766SfUajX29vZ8/vnnNGnSpMxjFyRJn96CX7DV/fLly0pbmzZtWLduHTNmzMDLywtjY2POnz/Pjh07GDp0qMa285J0796d9PR0DAwM6N69Oz4+PlSvXr3IuaWmppKVlcXly5fZuHEjKpWK2rVrl/k9hRBCCCGEEEII8XqRBKcoloWFBdWqVePu3bsAVKtWrdAZiUCptp0bGhqSm5v7wuf4sqSmppKYmEh2djYXL15k+fLl6Orq0rVrVyVGR0eHjIyMFzruX3/9hY6ODr6+vowZM4bGjRsTHh7OqlWryMvLY+rUqUocPN6mbm1tzcKFC0lJSWHFihUMHz6ckJAQzM3NyzS2jY0NAOfOndPY8v77778Dj4sVFejUqROTJk1izZo1HDlyRGkfN24c3t7ezxyrSpUqDBkyBHt7e3R1dfn9998JCAjg0qVL7N27t9Cq00OHDjFlyhTlulmzZsybN69Q4SMhhBBCCCGEEEK8eSQ7IIqVmprKo0ePMDc3x8zMjJUrV/Ltt9/St29f6tWrV+KzBcnMgi3q4eHhfPjhh//EtF+IESNGaFyrVCr8/PyoWbOm0ubu7s66devIyckhJiZGIwFYXunp6ajVaqZOnaqsdnVxcSEpKYmtW7fy4YcfYmRkRFpaGgBaWlps3rwZQ0NDAN566y0GDhzI9u3bS5VofFLnzp1RqVR8/fXXVKpUiaZNm3Lx4kWWLFlChQoVyMzM1IhXqVQ4ODjg4uKCsbExR48eZc2aNZiZmTFkyJASxxo+fLjGtYuLC3Z2dkybNo2AgIBCK30dHR3ZtGkTycnJnDx5kqtXr77w5LIQQgghhBBCCCFeTZLgFBoKEpNxcXEsXLiQvLw8XFxcaNGiBRcvXmTVqlWsWrUKY2NjOnTogKenp1KEqEB6ejpNmzbVaHN1dX2ltqfPmjULGxsbUlJS2Lt3L2fPni10vqW3tzcqlYrdu3cTFRXFtGnTWLBgASNHjmTUqFHlKqikr69Peno6ffr00Wjv06cPv/76K9HR0bRu3Rp9fX0AunbtqiQ3Aezt7bG0tCyxUnpx9PT0WLNmDZMnT2bixInA4zM9P/nkE1avXq2x7fzAgQPMmjWLsLAwJenbs2dP8vPzWbRoEb1798bExKRM4/ft25eFCxdy4sSJQt9K9erVla3rvXr1YvXq1YwcOZLw8HA5g1MIIYQQQgghhHjDvRolrcU/oiAx2bRpU7p3787p06eZNWsWHTt2xMjIiI0bN7J7924+/vhjGjduTFhYGEOGDGH37t0a/ejr67Nnzx727NlDQEAAM2bM4Ndff31mVfD/Ejs7O9q3b4+LiwurVq2iYcOGTJ06VVk5CY+35nt4eLB3717eeecdpk6dioODA35+fqxfv75c4xZsK3/6HMqCSuNJSUklxsHjwj/JycnlGr9BgwaEhIQQEhLC9u3b+fXXXxkwYAAPHz6kTp06SlxAQABNmjTRWNEK0K1bNzIyMoiOji7X+DVr1lTesSQuLi6kp6dz+PDhco0jhBBCCCGEEEKI14es4BQKfX19tm3bhpaWFiYmJtSqVavQKkQ7Ozvs7OwAuHPnDkOHDmXRokX0799fidHW1sbW1la5btWqFXl5ecrqxoYNG/4zL/SC6OjoMGXKFIYNG8b27duLXYnavHlzxo4dS9++fQkNDS3XitWmTZty69Yt4uPjNc7BLNj+XpDoLFghGx8fX6iPhIQE6tatW+axC2hpadGgQQPl+tixY6jVatq3b6+0PXjwgKpVqxZ6NicnB6Bc563m5+cTExPDW2+99czYrKwsAFJSUso8jhBCCCGEEEIIIV4vsoJTKAoSk82aNUOlUj1zi7WVlRW9evXi0aNHPHjwoMTYgoTb9evXX9h8/0mOjo7Y2dmxZcsWJblW1ErD/Px81Gq1soW8rFxdXQHYs2eP0qZWqwkMDMTY2JhmzZoBj3/Pxo0bc/jwYRITE5XY48ePExsbq5GMfB6ZmZksXboUMzMzevfurbTb2NgQFRXFzZs3NeIPHDiAtrY2jRo1Utru3bvHjRs3NOKenHOBgIAAEhMT6dixo0Zcfn5+odiCVcMFv4cQQgghhBBCCCHeXLKCU5TKgwcPitwOfevWLXR1dalSpUqJz1+7dg2gzOcy/peMHj2aSZMmERgYiKenJz169MDd3Z02bdrw999/c+bMGfz9/bl+/TqzZ8/WePbIkSP88ccfwONVjlevXmXlypXA423djRs3BqB79+60a9eONWvW8PDhQxo1asThw4eJiIjgiy++0DgH1NfXl1GjRjFo0CA8PDxISUlh06ZN1KlTB09PT43xC8YqSDD/8MMPREREADB+/HglbtKkSZibm1O/fn1SU1PZu3cvd+7cYe3atRqVzUePHs0vv/zC4MGDGTx4sFJk6JdffqF///7UqFFDiZ0+fTpnzpzh6tWrSlvXrl1xdXWlYcOG6Orqcu7cOQ4cOECTJk0YOHCgErd//3527tyJs7MzVlZWpKWlcfz4cX777Te6du1Ku3btyvhXFEIIIYQQQgghxOtGEpyiVGbOnEleXh49e/akTp06pKamEhYWxs8//8zw4cM1Em9qtZoLFy4Aj5N5V65cYdWqVdSvX79QQaJXSc+ePbG2tmbjxo0MGDCAadOmcfDgQUJCQnjw4AFnzpzB2tqazz//vFCCMTw8nKCgIOU6KiqKqKgo4PG5kwUJTi0tLVasWMG3337Ljz/+SGBgIDY2Nvj5+dGvXz+NPtu2bcv69etZunQp33zzDZUqVcLZ2ZlPPvlEo/AQwNKlSzWu9+7dq/z7kwnOZs2aERgYyK5du9DX16dVq1YsXryYJk2aaDzfunVrdu7cybJly9ixYwePHj1CpVLh7e3NmDFjnvlb9u3bl/PnzxMWFkZ2djYWFhaMGTOGcePGUalSJSWuVatWnD9/ngMHDvDgwQMqVKiAjY0Nvr6+z6zULoQQQgghhBBCiDeDVn5R+z/FG2fZsmVs3Lix2Orbv/76K/v27ePixYvcv38ffX19rK2tGThwIG5ubujo6Cj9LF++XHmuQoUK1KxZk06dOjFhwgRMTU3LNb9Lly4BsOPIHW7FPCxXH8WpozJh3iTX5+rDx8cHNzc3HB0dX9CsRFmkp6cTHR1NkyZNNKq9CyHfhiiJfB+iOPJtiJLI9yFKIt+HKI58G6IkkZGRaGlpadQzEWUjKzgFABMnTmTixInF3u/YsaPG2Yjl7UcIIYQQQgghhBBCiBdJEpzilaIyL1y5+7/Qp7OzMyqV6gXMRgghhBBCCCGEEEKUhSQ4xSvlY0+nl9KvWp2PtrZWuZ93dnZ+gbMRQgghhBBCCCGEEKWl/W9PQIjSys7OJiMj46X0/TzJTSGEEEIIIYQQQgjx75EEp3ilSE0sIYQQQgghhBBCCPEkSXCKV4qWlqy0FEIIIYQQQgghhBD/nyQ4xStDV1eXSpUqvZS+1WpZGSqEEEIIIYQQQgjxKpIiQ+KVsmLHb8QkJL3QPlXmVZ+reJGPjw9ubm44Ojq+wFkJIYQQQgghhBBCiNKQBKd4pcQkJHEr5uFL6TswMBBfX1/lWkdHB1NTU5ycnPD29qZGjRrl6jcgIIBTp04RGRlJbGwsbm5uLFiwoNj4EydOsHr1aq5cuYJarcbGxoYxY8bg6uqqxMybN4+zZ88SExNDVlYWFhYWuLq6MmrUKAwNDQv1eeXKFZYtW8a5c+fIysrCysqKAQMGMGzYMI24c+fO4efnR1RUFEZGRrz99tt4e3tr9Onj40NQUFCx8//ll19K/K3+97//sXPnTiIjI7ly5QrZ2dkcPnwYS0vLQrEHDx7kyJEjREZG8tdff9GmTRv8/f2L7VsIIYQQQgghhBBvHklwvuGWLVvG8uXLlWsTExMaNmyIl5cXDg4OnD59WiMJVqlSJaysrHj//fcZMmQIOjo6yr0nE1/a2toYGRlhZWVFu3btGDJkCLVq1frnXuw5eHl5YWlpSXZ2NhcuXCAoKIiIiAhCQkLQ09MrFJ+bm0t2dnax/a1fv560tDRsbW25f/9+iWPv3buXGTNm4OTkxJQpU9DW1ubmzZvExsZqxF26dIlWrVrh7u6Onp4eUVFRrF27lhMnTrB9+3a0tf//6RPHjx9n3LhxvPXWW4wfPx4DAwNu375NXFycRp/R0dGMGDGCevXq4ePjQ1xcHBs3buTWrVusX79eiRs4cCDt2rXTeDY/P5/Zs2ejUqmemQi+cOEC/v7+1K9fn3r16hEdHV1s7I4dO7h8+TK2trY8evSoxH6FEEIIIYQQQgjxZpIEp0BfX58tW7YAEBcXx8qVKxkxYgSBgYFKzPz586lbty4pKSns27ePefPmkZWVxdixYzX6srKyYtGiReTn55OSksLly5fZuXMnO3fuZNmyZbRv3/4ffbfy6NSpE7a2tgD0798fExMT1q1bx+HDh5VVlCkpKcybN4/Q0FDS09MJDg7GwMCAli1bsmTJEqpUqaL05+/vj4WFBVpaWrRo0aLYce/evcsXX3zBkCFDmDlzZolz3LFjR6E2a2trFi5cSGRkJPb29gCkpqYyffp0unTpwnfffaeR+HzaN998Q5UqVfD398fIyAgAS0tLZs6cyfHjx+nQoQMALVq0KPQev//+OxkZGfTt27fEeQN069aNs2fPYmRkxIYNG0pMcH799dfUqFEDbW1t+vTp88y+hRBCCCGEEEII8eaRIkMCbW1t7O3tsbe3p1evXqxevZrc3Fx27typxDRo0AB7e3s6duyIn58fdevWZe/evYX60tfXx97enhYtWtCpUyfGjx/P/v37qVWrFt7e3qSmpv6Tr/ZCODg4AHDnzh2lbe7cuQQHBzNy5EicnJzw8vJi4sSJpKWlkZGRofG8SqUqVfX3nTt3kpeXx6RJkwBIS0sjP7/0xY9UKhUAycnJSltwcDAPHjzA29sbbW1t0tPTUavVhZ5NTU3lxIkT9OvXT0luArzzzjsYGBjw448/ljh2SEgIWlpapUpCGhsba4xRklq1apWYlBVCCCGEEEIIIYSQzIEoxMLCgmrVqnH37t0i72tra9OoUaNC26aLY2xszCeffMKjR484cODAi5zqPyImJgZAY1Xm0aNHcXNzw8vLC3NzcxwcHBg1ahQ7d+4s91mdJ06coG7duhw7doxOnTrRsmVLHB0d+fbbb4tMSubm5pKYmEh8fDzHjx/n22+/xdDQEDs7OyXm5MmTGBkZER8fj4uLCy1atKBVq1Z8/vnnZGVlKXFXr14lNzeXZs2aaYyhq6tLkyZNSlxlmZOTw48//kiLFi2KPEdTCCGEEEIIIYQQ4mWSLeqikNTUVB49eoS5uXmxMffu3StTMqtt27ZUqFCBCxcuMHDgwBcxzZcmNTWVxMREsrOzuXjxIsuXL0dXV5euXbsqMTo6OoVWaj6vv/76Cx0dHXx9fRkzZgyNGzcmPDycVatWkZeXx9SpUzXiL1++rPFb2tjYsGrVKoyNjZW2W7dukZeXx/jx43n//feZOnUqZ86cwd/fn5SUFL755hsA5WzQov7mZmZmREREFDvv48eP8+jRo1JtTxdCCCGEEEIIIYR40STBKYDHqwHh8RmcCxcuJC8vDxcXF+W+Wq0mNzeXlJQUAgMDiYyMVJJjpaGnp4eJickzi+z8F4wYMULjWqVS4efnR82aNZU2d3d31q1bR05ODjExMSQkJDz3uAXbx6dOnaqcberi4kJSUhJbt27lww8/1NjaXb9+fTZt2kR6ejrnz5/n5MmTpKenF+ozIyMDDw8P5VzPnj17kp2dza5du/Dy8qJOnTpkZmYCj1dsPk1PT0+5X5SQkBAqVqzI22+//dy/gRBCCCGEEEIIIURZSYJTkJ6eTtOmTZXrqlWrMmvWLDp27Mjp06cBGDBggMYzY8eOVQrulFZ+fn6pzqL8t82aNQsbGxtSUlLYu3cvZ8+eLZT48/b2RqVSsXv3bqKiopg2bRoLFixg5MiRjBo1qlznRurr65Oenl7oHMs+ffrw66+/Eh0dTevWrZV2IyMjpWiTs7MzwcHBjB8/nqCgIBo3bqz0WdDHk/r27cuuXbu4cOECderUUeKKqgaflZWl3H9aWloahw8fpkOHDpiYmJT5nYUQQgghhBBCCCGelyQ4Bfr6+mzbtg0tLS1MTEyKLOyycOFC6tWrR2JiImvWrGHdunW0bt2aTp06lWqMrKwsHj16RPXq1V/GK7xQdnZ2ShV1Z2dnBg0axNSpUwkNDcXQ0BB4fA6ph4cHHh4e+Pj4ULduXa5cuYKfnx9qtbpQdfnSMDc359atW4V+o2rVqgGQlJRU4vM9e/bk008/5cCBA0qC09zcnGvXrmFqalpin2ZmZgBFrkS9f/9+sccV/PTTT6Wuni6EEEIIIYQQQgjxMkiRIYG2tja2trY0a9YMlUpV5OrDevXqYWtrS+fOnVm3bh1mZmYsXLiw1FW+T548SW5uLi1btnzR03+pdHR0mDJlCgkJCWzfvr3YuObNm7N06VIaNmxIaGhoucYqWEUbHx+v0V6QdCxIShYnOzsbtVpNSkpKmfts2LAhFSpU4PLly4X6jI6OVhKmTwsODsbAwIBu3bqVODchhBBCCCGEEEKIl0USnKLMDA0N8fLy4vr16/z000/PjE9KSmLRokWYmJiUeVv7f4GjoyN2dnZs2bJFqTxe1GrK/Px81Gp1sdu5n6Xgt9mzZ4/SplarCQwMxNjYWKlwnpycTE5OTqHnd+/eDaBRCb3gXMwn+yy4rlChAm3atAGgcuXKtGvXjv3795OamqrE/fDDD6Snp9OrV69C4yUmJnLy5El69OhBpUqVinyne/fucePGjWe/vBBCCCGEEEIIIUQ5yRZ1US7vvvsuq1evZt26dfTo0UNpz8zM5MKFCwCkpKRw+fJldu7cSWpqKitWrFC2eL9qRo8ezaRJkwgMDMTT05MePXrg7u5OmzZt+Pvvv5XK5NevX2f27Nkazx45coQ//vgDgJycHK5evcrKlSsB6Natm7I6snv37rRr1441a9bw8OFDGjVqxOHDh4mIiOCLL75QzgE9c+YMX331FS4uLtSuXZucnBwiIiIIDw+nWbNm9OvXTxn7rbfe4r333mPv3r3k5eXRunVrzpw5Q2hoKB9++CE1atRQYr29vfHw8GDo0KEMGDCAuLg4Nm3aRIcOHYo8iuDgwYPk5uaWuD19+vTpnDlzhqtXryptKSkp+Pv7A3Du3DkAtm/fTuXKlalSpQpDhgxRYs+ePcvZs2eBxwnV9PR05bdr3bq1xpmkQgghhBBCCCGEeDNJglOUS8WKFRk3bhwzZ87k9OnTODo6AnDnzh0GDhyIlpYWRkZGWFlZ0adPH4YMGUKtWrX+5VmXX8+ePbG2tmbjxo0MGDCAadOmcfDgQUJCQnjw4AFnzpzB2tqazz//HE9PT41nw8PDCQoKUq6joqKIiooCoGbNmkqCU0tLixUrVvDtt9/y448/EhgYiI2NDX5+fhpJy4YNG+Lo6Mjhw4e5f/8++fn5WFtb8/HHHzN69OhCBZHmzJmDhYUFgYGB/PTTT1hYWODr61uoWnzTpk3ZtGkTixYtYv78+RgaGvL+++8zZcqUIn+T4OBgTE1NlUJHpZWUlMTSpUs12jZu3Ag8rlj/ZILz1KlTLF++XCO24NkJEyZIglMIIYQQQgghhBBo5Zf2EEUh/kWXLl0CYMeRO9yKefhC+66jMmHepPJvnffx8cHNzU1J8op/Xnp6OtHR0TRp0gQDA4N/ezriP0S+DVES+T5EceTbECWR70OURL4PURz5NkRJIiMj0dLSUgoei7KTFZzilaIyr/pK9CmEEEIIIYQQQggh/hmS4BSvlI89nV5Kv2p1PtraWuV61tnZGZVK9YJnJIQQQgghhBBCCCFKQxKc4pWRnZ1NRkZGsRW7n0d5k5vwOMEphBBCCCGEEEIIIf4d2v/2BIQoCzkyVgghhBBCCCGEEEI8SRKcQgghhBBCCCGEEEKIV5YkOMUrRUur/FvJhRBCCCGEEEIIIcTrRxKc4pWhq6v7Us7fVKufb9u7j48Pp0+ffkGzEUIIIYQQQgghhBBlIUWGxCtlxY7fiElIemH9qcyrKpXZAwMD8fX1Ve7p6OhgamqKk5MT3t7e1KhRo1xjBAQEcOrUKSIjI4mNjcXNzY0FCxYUint6/CcdP34cMzMz5TotLY1vv/2WsLAwEhMTsbKyYujQoQwaNEjjubNnz7Jhwwaio6NJTEykSpUqNG7cmPHjx9OqVSuN2NWrV3PkyBFu375NWloatWrVonPnznz00UdUq1ZNiVu2bBnLly8v8X2f7vtJJ0+eZP/+/Zw7d464uDiqV69O27ZtmTRpEubm5uWakxBCCCGEEEIIId5ckuB8TT2dhDIxMaFhw4Z4eXnh4OAAwIULF1i+fDnR0dGkpKRQvXp1mjVrxujRo2nevHmhfrS0tDA0NMTCwoLWrVszePBg6tWrpzHu0KFDOXPmjHJtZGREvXr1GDt27AupNh6TkMStmIfP3U9JvLy8sLS0JDs7mwsXLhAUFERERAQhISHo6ekVis/NzSU7O7vY/tavX09aWhq2trbcv3+/1OM/qUqVKsq/5+XlMXr0aC5fvszgwYOpXbs2x48fZ86cOSQnJzNu3Dgl9tatW2hra+Ph4UH16tVJTk5m//79DBkyhDVr1tCpUycl9sqVKzRu3BhXV1cMDQ353//+x/fff8+xY8fYt28fBgYGAPTo0QNra+tC816yZAnp6enY2tqW+H5+fn4kJSXRq1cv6tSpw507d9i2bRtHjx5l3759Gonc0s5JCCGEEEIIIYQQby5JcL7G9PX12bJlCwBxcXGsXLmSESNGEBgYSEpKCsOGDaNjx47MmTMHQ0ND/vrrL3766SciIyOVBOfT/aSlpfHnn3+ya9cuvv/+e+bOncs777yjMW7Lli2ZPn06AMnJyezZs4eJEyeybdu2Elf2/Vd06tRJSdL1798fExMT1q1bx+HDh3F1dQUgJSWFefPmERoaSnp6OsHBwRgYGNCyZUuWLFmikZD09/fHwsICLS0tWrRoUabxixIeHs758+eZO3cu77//PgCDBg3Cy8uLlStX0r9/f0xNTZX59+/fX+P5QYMG4ezszJYtWzQSnMuWLSs0lr29PV5eXvz888/07t0bgMaNG9O4cWONuNjYWOLi4ujfvz+6urolvp+vry+tWrVCW/v/n5DRsWNHhgwZwrZt2/D29i7znIQQQgghhBBCCPHmkgTna0xbWxt7e3vl2s7Ojm7durFz506Sk5NRqVSsWLECHR0dANq1a4eHhwdqtbrEfpycnBg0aBBjx45lxowZtGzZEisrK+V+lSpVNOLbt29Phw4dOHz48CuR4Hyag4MD69at486dO0rb3LlzCQkJYezYsVy4cIFWrVpRqVIlwsPDycjI0EhwqlSqMo+ZmppKpUqVlL/NkyIiIgAKJfdcXV0JCwvj8OHDDBgwoNi+K1WqRLVq1UhJSXnmPArmnpycXGJcSEgI+fn59O3b95l9tm7dusg2Y2Nj/ve//72wOQkhhBBCCCGEEOLNIEWG3iAWFhZUq1aNu3fvkpycTLVq1YpMoD25sq44enp6fPbZZ+Tk5LB79+4SYytUqIC+vj65ubnlnvu/KSYmBtDcJn706FHc3Nzw8vLC3NwcBwcHRo0axc6dO8t9VmeBYcOG0apVK5o3b864ceO4deuWxv3s7Gx0dHSoWLGiRntBAabLly8X6jM1NZXExERu3LjBN998w59//km7du0KxeXn55OYmMj9+/f5/fff+eqrr9DR0aFNmzYlzjk4OJhatWoVmbwsjbS0NNLS0jAxMXlhcxJCCCGEEEIIIcSbQVZwvkFSU1N59OgR5ubmmJmZsXLlSr799lv69u1b6CzN0qhfvz41atTg/PnzGu35+flKMjM5OZldu3YRHx9Pz549X8h7vGwFycDs7GwuXrzI8uXL0dXVpWvXrkqMjo4OGRkZL3RcfX193N3dcXR0xMjIiMuXL7N582Y8PDwICgqiVq1aANjY2JCXl8eFCxeU81QBfv/9dwASEhIK9T1p0iSOHz8OQMWKFRk4cCDjx48vFPfgwQM6dOigXNesWZNFixaV+H1cu3aNq1evMmbMGLS0tMr17lu2bCEnJ4e33377hcxJCCGEEEIIIYQQbw5JcL7mChKNcXFxLFy4kLy8PFxcXGjRogUXL15k1apVrFq1CmNjYzp06ICnp6dG0uxZatWqxYMHDzTajh07RtOmTZVrHR0dfHx8ytTvv2nEiBEa1yqVCj8/P2rWrKm0ubu7s27dOnJycoiJiSkyqVhWrq6uyhmfAM7OznTo0IEhQ4awatUqvvjiCwD69OnDihUrmDFjBrNmzaJ27dr89ttvBAQEAJCZmVmo72nTpjFq1ChiY2PZt28fOTk55ObmFiqaVLVqVTZt2kRWVhZRUVEcOnSI9PT0EucdHBwMUKrt6UU5e/YsK1as4O233y5yVWl55iSEEEIIIYQQQog3hyQ4X2Pp6ekaicaqVasya9YsOnbsCMDGjRuJjIzk6NGjREREEBYWxoEDB/jyyy8LFaYpTn5+fqFVe61atcLX1xd4vPX42LFjLFiwgCpVquDm5vaC3u7lmTVrFjY2NqSkpLB3717Onj1bqHCOt7c3KpWK3bt3ExUVxbRp01iwYAEjR45k1KhRpdrmXxoODg40b96ckydPKm1mZmasWrWKTz/9lFGjRgGPq9V/9tlnTJ8+vcjK4k2aNFH+vV+/fri7u+Pr68t3332nEaerq0v79u0B6Nq1K+3atcPT0xNTU1ONFawF8vPzCQkJoWHDhoUKD5XGjRs3mDBhAg0aNOCrr74qMqascxJCCCGEEEIIIcSbRRKcrzF9fX22bduGlpYWJiYm1KpVq1Dizc7ODjs7OwDu3LnD0KFDWbRoUakTnHFxcdSpU0ejrXLlyhpVwNu2bcvNmzdZuHAh7777brm3Mf9T7OzslPk7OzszaNAgpk6dSmhoKIaGhsDjc0o9PDzw8PDAx8eHunXrcuXKFfz8/FCr1YwdO/aFzadmzZrcvHlTo61169b89NNP/Pnnn6Snp9O4cWNlFenTf4+n6erq0q1bN9auXUtmZib6+vrFxrZs2RIzMzOCg4OLTCZGREQQExPD1KlTy/xesbGxjB49GiMjI9auXYuRkVGpnnvWnIQQQgghhBBCCPFmkSJDrzFtbW1sbW1p1qwZKpXqmasKrays6NWrF48ePSq07bwo165dIz4+nhYtWjwztl69ejx8+JC///671PP/L9DR0WHKlCkkJCSwffv2YuOaN2/O0qVLadiwIaGhoS90Dnfu3Cmy+I6Ojg5NmjShVatWGBoacuLECQBltWNJMjMzyc/PJy0t7Zmx2dnZxVZcDw4ORktLiz59+jyznyc9fPiQUaNGkZ2dzYYNGzA3Ny/T8yXNSQghhBBCCCGEEG8WSXC+oYpLYN66dQtdXV2NiuFFycrK4ssvv0RXV7dUqz2vXbtGxYoVS71K77/E0dEROzs7tmzZQlZWFgBJSUmF4vLz81Gr1SWuiCxJYmJiobZjx45x5coV5ViBkp5dv349jRo10khwFpVQTk5OJjw8nFq1amFqago8Ps6gqKJJYWFhJCUl0axZs0L3cnJyCA0NpVWrVlhYWBQ5r4SEBG7cuEFOTo7Slp6eztixY4mPj2ft2rXFrjgtz5yEEEIIIYQQQgjx5pEt6m+omTNnkpeXR8+ePalTpw6pqamEhYXx888/M3z4cI0zJ9VqNRcuXAAeJ53+/PNPdu3axZ07d1iwYAGWlpYafScnJyvxBWdwHjt2jAEDBpQ7+fdvGz16NJMmTSIwMBBPT0969OiBu7s7bdq04e+//+bMmTP4+/tz/fp1Zs+erfHskSNH+OOPP4DHScGrV6+ycuVKALp166acXenh4UGTJk1o1qwZlStXJioqir1791KrVi3GjRun0eeQIUOwt7endu3a3L9/n++//5709HRWr16tsVL3gw8+oEaNGjRv3hxTU1Pu3btHYGAgCQkJLFmyRIn766+/GDFiBK6urtStWxdtbW0uX77M/v37UalUDBs2rNBvcvz4cR49elRicaFvvvmGoKAgDh8+rHwn06ZNIzIykvfee48bN25w48YNJd7Q0BBnZ+dyz0kIIYQQQgghhBBvHklwvqEGDx7Mvn37WLNmDffv30dfXx9ra2vmzp1bqBBQZmYmAwcOBMDAwABLS0vatWvH8uXLqVevXqG+z507p8Tr6+tjZWXFp59+ytChQ1/+i70kPXv2xNramo0bNzJgwACmTZvGwYMHCQkJ4cGDB5w5cwZra2s+//xzPD09NZ4NDw8nKChIuY6KiiIqKgp4fL5mQYLz7bff5tixY/z2229kZmZiZmZG//79mTBhAtWrV9fos2nTpoSGhhIfH4+RkRHt27dn8uTJWFlZacS99957HDhwgM2bN5OSkkKVKlVo3rw5ixcv1qhqX6NGDVxcXDh16pRSZV2lUjF48GDGjRtX5Bb54OBgKlasSK9evcr0WxYke/fu3cvevXs17qlUKiXBWZ45CSGEEEIIIYQQ4s2jlZ+fn/9vT0KIZ7l06RIAO47c4VbMwxfWbx2VCfMmuT5XHz4+Pri5ueHo6PiCZiXKKj09nejoaJo0aVJkFXnx5pJvQ5REvg9RHPk2REnk+xAlke9DFEe+DVGSyMhItLS0NAo2i7KRMziFEEIIIYQQQgghhBCvLNmiLl4pKvOq/7n+nJ2dUalUL2A2QgghhBBCCCGEEKKsJMEpXikfezq98D7V6ny0tbXK/XzBmZFCCCGEEEIIIYQQ4p8nW9TFKyM7O5uMjIwX3u/zJDeFEEIIIYQQQgghxL9LEpzilSI1sYQQQgghhBBCCCHEkyTBKV4pWlqy2lIIIYQQQgghhBBC/H+S4BSvDF1dXSpVqvTC+lOrn281qI+PD6dPn35BsxFCCCGEEEIIIYQQ5SFFhsQrZcWO34hJSHruflTmVZWCRYGBgfj6+ir3dHR0MDU1xcnJCW9vb2rUqFGuMQICAjh16hSRkZHExsbi5ubGggULnvnczJkz2b17N126dGHNmjWF7qemprJy5UpCQ0NJSEjAxMSEFi1asHDhQo0EcHJyMn5+fhw6dIjMzExsbW3x8fGhadOmGv1lZWWxefNmfvjhB2JiYqhSpQotWrRg4sSJNGjQQCP2t99+Y/ny5URFRaGrq0u7du349NNPsbS0fOZ7NWrUqNh77du3Z9OmTRptt2/fZunSpZw4cYK0tDRq1qzJ22+/jbe39zPHEkIIIYQQQgghxJtDEpzilRKTkMStmIcvpW8vLy8sLS3Jzs7mwoULBAUFERERQUhICHp6eoXic3Nzyc7OLra/9evXk5aWhq2tLffv3y/VHC5dukRQUFCR4wGkpKQwZMgQ4uLiGDhwINbW1iQmJhIREUF2draS4FSr1YwdO5arV68yevRoTExMCAgIYOjQoQQGBlKnTh2lz2nTpnHkyBH69+9P06ZNiY+PJyAggIEDBxIcHIxKpQLg559/Zvz48bz11ltMnTqV1NRUtm7dyqBBg9i3bx/VqlUr8d2+/vrrQm2XL19m69atODk5abRHR0czdOhQatSowciRIzExMeHevXvExcWV6ncUQgghhBBCCCHEm0MSnKJMli1bxvLly5VrExMTGjZsiJeXF5GRkXz99df8/PPP1KpVq9CzV69epV+/fsydO5f333//n5x2qXTq1AlbW1sA+vfvj4mJCevWrePw4cO4uroCjxOM8+bNIzQ0lPT0dIKDgzEwMKBly5YsWbKEKlWqKP35+/tjYWGBlpYWLVq0eOb4+fn5zJ07l3feeYdTp04VGbN48WLu3btHYGAgVlZWxfYVGhrK+fPnWbp0Kb169QLg7bffxsXFhWXLlrF48WIA4uPjCQ8PZ9SoUUyfPl153sHBgeHDh3Po0CFGjBgBwKJFi7CysmLHjh3o6uoC0K1bN9zc3Fi7di0+Pj4lvt8777xTqO3MmTNoaWnRp08fpU2tVvPpp59St25dtm7dir6+fon9CiGEEEIIIYQQ4s0mZ3CKMtPX12fXrl3s2rWL2bNn8+jRI0aMGEGzZs3Q0tLiwIEDRT534MABdHV1cXFx+YdnXD4ODg4A3LlzR2mbO3cuwcHBjBw5EicnJ7y8vJg4cSJpaWlkZGRoPK9SqcpUFOmHH37gzz//LHYLdnJyMoGBgQwYMAArKyuys7OLXUEaFhZG9erV6dmzp9JWrVo13n77bQ4fPqw8l5qaCkD16tU1njczMwNQVpI+evSI69ev4+zsrCQ3ARo3bky9evWK/ZuXJDs7m/DwcFq3bk3NmjWV9uPHj/Pnn3/y8ccfo6+vT0ZGBnl5eWXuXwghhBBCCCGEEG8GSXCKMtPW1sbe3h57e3t69erF6tWryc3NJTQ0lNatWxMSElLkcwcOHKBLly5Urlz5H55x+cTExABorMo8evQobm5ueHl5YW5ujoODA6NGjWLnzp3lPqsTHicaFy1axLhx45Tk4tMiIiLIysqidu3aeHl5YW9vj52dHR4eHkRHR2vERkdH89Zbb6GtrfmfuK2tLRkZGdy8eRMAa2tratasyaZNmzhy5AhxcXFERkYye/ZsLC0t6d27N4CSEC1qNaW+vj4JCQml3oZf4NixYyQnJ9OvXz+N9pMnTwKPi0q5u7tjb29P8+bN8fb25tGjR2UaQwghhBBCCCGEEK8/SXCK52ZhYUG1atW4e/cuffv2JTo6mhs3bmjEnD9/Xrn/X5WamkpiYiJxcXGEhYWxfPlydHV16dq1qxKjo6NTaKXmi7BixQr09PSU7eBF+euvv4DH29RjY2NZuHAhs2bN4s6dOwwfPpyEhAQl9v79+0UmSs3NzQGU2IoVK7Js2TIqVarERx99ROfOnenfvz9paWns3LlTSe5Wr16dKlWqcO7cOY3+Hj58qPyt4+Pjy/TOwcHBRa7ovXXrFgCTJ0+mbt26fPfdd3zwwQeEh4czbtw48vPzyzSOEEIIIYQQQgghXm9yBqd4bqmpqTx69Ahzc3NcXFyYM2cOISEhTJo0SYkJCQmhcuXKdOnS5d+b6DM8nVxUqVT4+flpbJ92d3dn3bp15OTkEBMTo5FULK+bN2/i7+/P4sWLNbZ/Py0tLQ0ALS0tNm/ejKGhIQBvvfUWAwcOZPv27cr29szMzCL7KmjLyspS2qpUqUKTJk3o1asXzZs35/bt26xZs4ZJkyaxadMm9PT00NbWZuDAgaxbt47Fixfz3nvvkZqaip+fHzk5OcqYpZWamsrRo0fp3LmzxgpZgPT0dODxatNFixYB4OLiQqVKlVi8eDEnT56kffv2pR5LCCGEEEIIIYQQrzdZwSnKJTc3l9zcXO7evYuvry95eXm4uLhQpUoVOnfurHEmY15eHqGhofTs2bPEBN6/bdasWWzatInvvvuOzp078/Dhw0Lz9fb2Zvbs2dy9e5crV64wbdo0nJycWL9+PWq1ulzjzp07lxYtWjzzbNKC7eFdu3ZVkpsA9vb2WFpacv78eY3Yos7nLGgrOFszJSWFwYMHY29vz9SpU3F2dmbUqFEsW7aMiIgI9u7dqzzr5eXF+++/z/r163FxceG9996jQoUKvPfeewAac3qWsLAwsrKyilzRW/CeTxYeevL66VWkQgghhBBCCCGEeLPJCk5RZunp6TRt2lS5rlq1KrNmzaJjx47A40TU5MmTuXTpEra2tpw6dYoHDx78p7enA9jZ2SlV1J2dnRk0aBBTp04lNDRUSd5pa2vj4eGBh4cHPj4+1K1blytXruDn54darWbs2LFlGvPkyZP8+uuvLF++nLt37yrtubm5ZGZmcvfuXYyNjTEyMlK2lz9dEAjA1NSU5ORk5drMzKzIMzELVpwW9BUWFsaDBw/o1q2bRlybNm0wMjLi3LlzDBo0CHi8+nPu3Ll4e3tz69YtTE1NsbGxYerUqWhra2NtbV3q9w4ODqZy5coa2/8LFMzN1NS00DsCGu8phBBCCCGEEEIIIQlOUWb6+vps27YNLS0tTExMqFWrlkYxm27dumFoaEhISAi2traEhIRgbm6Oo6PjvzjrstHR0WHKlCkMGzaM7du3F5u4bN68OWPHjqVv376EhoaWOcEZGxsLwIQJEwrdi4+Pp3v37vj6+jJixAglqVzUWZcJCQnUrVtXuW7cuDERERGo1WqNv01kZCSVKlXCxsYGgL///hugUJXy/Px81Gp1kdXLq1evriRZ8/LyOH36NM2bNy/1Cs6EhAROnz6Nm5tbkSt6i3vPguRstWrVSjWOEEIIIYQQQggh3gyyRV2Umba2Nra2tjRr1gyVSlWoUreenh49e/bk4MGDZGZmcujQIXr37l0o7r/O0dEROzs7tmzZopxZmZSUVCiuIBlYVIXxZ2nbti0rVqwo9E+1atVo1qwZK1asUFZX1q1bl8aNG3P48GESExOVPo4fP05sbKzGuZS9evXiwYMHhIeHK22JiYmEhobStWtXJbFYp04dAA4ePKgxr8OHD5Oenk6TJk1KnP+GDRu4f/8+I0eO1Gi/ffs2t2/fLvKZgwcPolari13R2717d3R1dQkMDNTY9r97924AOX9TCCGEEEIIIYQQGmQFp3gp+vTpQ1BQEH5+fqSkpPznt6cXZ/To0UyaNInAwEA8PT3p0aMH7u7utGnThr///pszZ87g7+/P9evXmT17tsazR44c4Y8//gAgJyeHq1evsnLlSuDxKtfGjRtjYWGBhYVFoXHnzZtH9erVcXZ21mj39fVl1KhRDBo0CA8PD1JSUti0aRN16tTB09NTiXNxccHe3h5fX1+uX7+OiYkJO3bsIC8vj4kTJypxXbt2pUGDBqxYsYJ79+7RvHlz/vrrL7Zv346ZmRnvv/++EvvDDz8QHh5O69atMTAw4MSJE/z444/079+/0PmhBQWbjhw5Uujd9u/fX+KKXjMzM8aNG8d3333HmDFj6N69O1evXuX777+nT58+2NnZFfmcEEIIIYQQQggh3kyS4BQvRbt27ahevTrbt2+nbt26Gmd2vkp69uyJtbU1GzduZMCAAUybNo2DBw8SEhLCgwcPOHPmDNbW1nz++ecaCUaA8PBwgoKClOuoqCiioqIAqFmzJo0bNy7zfNq2bcv69etZunQp33zzDZUqVcLZ2ZlPPvlEY4u4jo4Oa9eu5euvv8bf35+srCxsbW2ZP3++xlZ2XV1dtm/fzsqVKzl69CghISEYGhri7OyMt7e3xnZwGxsbkpKSWLlyJZmZmdjY2DBnzhwGDhxY6vn/73//48qVK4wcObLEFb3jx4+natWq+Pv7M3/+fKpXr864ceP4+OOPy/iLCSGEEEIIIYQQ4nWnlZ+fn/9vT0K8OpYtW8bGjRs1KnYX56uvvsLf3x8vL6/nTkxdunQJgB1H7nAr5uFz9QVQR2XCvEmuz9WHj48Pbm5ur9TZoq+r9PR0oqOjadKkCQYGBv/2dMR/iHwboiTyfYjiyLchSiLfhyiJfB+iOPJtiJJERkaipaWlFD4WZfdqHYoo/nUTJ04sVXITYObMmVy9elVW3QkhhBBCCCGEEEKIl0a2qItXisq86n+mH2dnZ1Qq1QuYjRBCCCGEEEIIIYQoL0lwilfKx55OL6wvtTofbW2tcj//dAEgIYQQQgghhBBCCPHPky3q4pWRnZ1NRkbGC+vveZKbQgghhBBCCCGEEOK/QRKc4pUiNbGEEEIIIYQQQgghxJMkwSleKVpasupSCCGEEEIIIYQQQvx/kuAUrwxdXV0qVar03P2o1eVfBerj48Pp06efew5CCCGEEEIIIYQQ4sWQIkPilbJix2/EJCSV+3mVeVU+9nQiMDAQX19fpV1HRwdTU1OcnJzw9vamRo0a5eo/ICCAU6dOERkZSWxsLG5ubixYsKBQ3MmTJ9m/fz/nzp0jLi6O6tWr07ZtWyZNmoS5ublGrFqtZteuXezcuZPbt29TqVIl3nrrLcaPH0/Lli2VuMjISPbt28fp06eJiYnB2NiY5s2bM3nyZGxsbArN4caNG8ybN49z585RsWJFOnfujK+vL9WqVVNi4uPj8fPz49KlSyQkJKCjo0OdOnUYPHgw7777bqlW1N66dYulS5cSERFBUlIStWrVok+fPowePbpQwjo7O5uNGzeyb98+YmJiqFy5Ms2aNeOLL76gZs2azxxLCCGEEEIIIYQQbx5JcIpXSkxCErdiHr6w/ry8vLC0tCQ7O5sLFy4QFBREREQEISEh6OnpFYrPzc0lOzu72P7Wr19PWloatra23L9/v9g4Pz8/kpKS6NWrF3Xq1OHOnTts27aNo0ePsm/fPszMzJTYr7/+mk2bNtGvXz8GDRpEcnIyu3btYujQoezYsQM7Oztl7HPnztGrVy8aNWrE/fv32b59O+7u7uzatYuGDRsqfcbFxTF48GAqV66Mt7c36enpbNy4kT///JPdu3ejq6sLwMOHD4mPj6dXr17UqlWL3NxcfvvtN3x8fLh58yZTpkwp8feNjY2lf//+VK5cmSFDhlC1alUuXLjAsmXLuHLlCqtWrVJic3Jy+PDDDzl//jz9+/enUaNGJCcnc/HiRVJSUiTBKYQQQgghhBBCiCJJgvM1tGzZMpYvX65cm5iY0LBhQ7y8vHBwcFDaL168yOrVqzl37hzp6elYWlrSu3dvxowZg76+vhJ3+vRphg0bplxXqlQJU1NT7OzseP/993Fycipx/CdNnTqVsWPHvqhXfW6dOnXC1tYWgP79+2NiYsK6des4fPgwrq6uAKSkpDBv3jxCQ0NJT0//f+zde1zP9///8Vu1kuQQEnKIzVkHRMiYNGfzqQ05ZGSjzTFsyw422xy27GDOZ+aQY5lCmNNmcz41x42x0agInaRSvz/8en+8dUDsmz7u18uly7yfr+fh8Xr1atljzwNhYWFYWVnRsGFDvvnmG0qUKGHob8mSJVSsWBETExMaNGiQ67hjxoyhUaNGmJr+d5eIF198kT59+rB06VICAgKAuwnV4OBg2rVrR1BQkKFu+/bt8fT0ZP369YYEZ79+/Zg8ebIhOQnQsWNHunTpwpw5c5g8ebKhfNasWdy6dYuQkBAqVqwIgJOTE/379yc0NJQePXoAULt2bZYsWWIUe58+ffD392fJkiUMHz4cMzOzXO/zhx9+ID4+nuXLl1OjRg0AevToQUZGBuvWrePmzZuULFkSgEWLFnHgwAGWL19uuCcRERERERERkQdRgvN/lKWlJYsXLwbuztabMWMG/fr1IyQkhJo1a7Jx40beeecdGjZsyLhx47CxseHw4cPMmTOHn376icWLF2dbPjxx4kSqV6/O7du3uXjxIhs2bMDPz49evXrx8ccf5zr+vSpUqPDv3fQT4Orqyty5c7l48aKhbPz48YSHhzNw4ECOHj1Ko0aNKFq0KFu2bOHWrVtGCU57e/uHGqdx48Y5lpUqVYo///zTUJaenk5KSgply5Y1qlumTBlMTU2NEtH3LlfP4uDgQI0aNYz6BNiyZQsvvfSSIbkJ0Lx5cxwcHNi0aZMhwZkbe3t7bt26RVpaWp4JzsTEREO897K1tcXU1BRzc3Pg7jL877//Hk9PT5ycnEhPTyctLe2J7LkqIiIiIiIiIv/blOD8H2VqaoqLi4vhs5OTEx4eHqxYsYJBgwbxwQcf4OrqyoIFCwwJKjc3Nxo0aMDrr7/OlClTCAwMNOqzRo0ahtmObm5uvPbaa3z99dfMnj2bBg0a8Morr+Q6fmERFRUFYJS03LlzJ15eXgwbNozAwEBcXV1xc3PDz8/viY6dlJREUlISNjY2hjJLS0ucnZ0JDQ3FxcUFV1dX4uPjmTFjBiVKlHhgIjIzM5OrV68aZk/C3X01r127Rv369bPVd3Jy4qeffspWnpKSQnJyMsnJyRw4cICQkBBcXFyMEqw5adKkCXPnzuWDDz5g2LBhlCpViiNHjhAcHIyvry9WVlYAnD17lpiYGGrVqsVHH31EaGgoaWlp1KxZkw8++ICmTZvmOY6IiIiIiIiIPLuU4HxGVKxYkdKlS3Pp0iVWr15NcnJyjsuLmzZtSvPmzVm5ciUjRox4YAJr2LBhhISEsHz5cqMEZ2GRmJhIXFwcqampHDt2jGnTpmFhYUHr1q0NdczMzLh169a/HsvixYtJS0ujQ4cORuVBQUEEBATwzjvvGMoqV65McHAwlStXzrPP9evXEx0dzbBhwwxlMTExAEb7fGaxtbXlxo0bpKamGi11//777/nqq68Mn5s1a8bEiRMfeE8tW7Zk+PDhzJ49m+3btxvK/f39DcvwAf766y/g7jL1UqVK8emnnwIwe/Zs3njjDdasWUPt2rUfOJ6IiIiIiIiIPHuU4HxGJCYmcuPGDcqVK8eBAwcoVapUjkuaATw8PPj11185ceIEjRo1yrPf5557jqZNmxIREUFaWpphyTHcXV6dU/2nSb9+/Yw+29vbExQUZHSgjbe3N3PnziUtLY2oqChDgvBJOnDgANOnT6dDhw40a9bM6FqxYsV44YUXcHFxoVmzZsTGxjJ37lwGDx7MsmXLjE49v9e5c+f49NNPadCgAV5eXoby27dvAxglMLNkHayUkpJidL1Tp07Ur1+fuLg4duzYwbVr10hJSXmoe7O3t8fV1ZV27dpRqlQpdu7cyezZs7G1taVPnz7A3dmrWf9ct26dYSuDpk2b0rZtW+bNm2e0h6iIiIiIiIiISJanK9skT1RWgvHKlSt88cUX3Llzh3bt2jF+/Pg898LMuhYdHf1Q41SoUIG0tDRu3rxp2CsyOTmZevXqZau7bNkyo4OOCtrYsWOpVq0aCQkJrF27lgMHDmRL/AUEBGBvb8/q1as5efIko0ePZtKkSfTv3x8/Pz+jg4Ly49y5cwwZMoQaNWrw+eefG11LT0+nf//+NGnShI8++shQ3rx5czp37sz8+fONZnZmiY2NZdCgQRQvXpwpU6YYzdTNSmLmdBp8VvLz/pm79vb2hv1FO3fuzEcffUT//v2JiIjIc5bvhg0bGDt2LJs3bzYkjdu2bUtmZiaTJ0+mU6dO2NjYGPpo2LCh0btZsWJFGjZsyJEjR3IdQ0RERERERESebUpw/o+6P8FYsmRJxo4dy4svvvjEx8rMzATAxMTEUGZpacnSpUuz1a1evfoTH/9xODk5GfYV9fT0pFevXowaNYqIiAiKFSsG3N1P1MfHBx8fHwIDA6levTonTpwgKCiIjIyMxzoV/vLlywwYMABra2vmzJmDtbW10fUDBw7w+++/Z9sP1cHBgerVq3P48OFsfSYkJPDmm2+SkJDAsmXLsLOzM7perlw54G4S9H6xsbGUKlUqx9md92rXrh2rVq3iwIEDeb5Ty5cvp06dOkYzYuHuLOGQkBBOnTpF8+bNDTHdf5gS3D2g6NSpU3nGIyIiIiIiIiLPLiU4/0dlJRhNTEywsbGhQoUKhpmGdnZ2nD59Ote2ly9fNtR7GFeuXMHc3JySJUsaykxNTQ2Jw8LCzMyMkSNH0rdvX5YtW5Zr4tLZ2ZmBAwfSpUsXIiIi8p3gvH79On5+fqSmprJ8+XJDku9e165dA+DOnTvZrqWnp2crv337Nv7+/ly4cIGFCxfywgsvZGtnZ2dH6dKlOX78eLZrkZGRD7XXZdby9ISEhDzrXb161ei9yJKWlma4B4CaNWtibm6e46zhmJiYXJfhi4iIiIiIiIg83tpaeWplJRjr16+Pvb290TLqxo0bc+PGDY4ePZpj2507d2JlZZXjEvP7paens3fvXhwdHZ+6/TXzw83NDScnJxYvXmxYrn3z5s1s9TIzM8nIyHjgIUy5SU5OZuDAgURHRzNnzhwcHBxyrJdVvnHjRqPyEydOcP78eerUqWMou3PnDiNGjODo0aNMmTKFBg0a5Dp+27Zt2blzpyGZDbBnzx4uXLhA+/btDWVxcXE5tl+zZg0mJiZG70hcXBznzp0zOpCpWrVqnDx5kvPnzxu137BhA6amptSqVQsAa2trWrZsyZEjRzh37pyh3rlz5zhy5AjNmzfP9V5ERERERERE5NlW+DNS8si6devG/PnzmTJlCvPnzzdKfu7fv5/du3fj5+f3UMm77777jtjYWMaMGfNvhvx/asCAAQwfPpyQkBB69uzJyy+/jLe3N02aNOHatWvs37+fJUuWcPbsWT755BOjttu3bzfMjk1LS+PMmTPMmDEDuLssO2t25OjRo4mMjOTVV1/l3LlzRkm9YsWK4enpCUD9+vVxd3cnNDSUxMRE3N3diY2NZenSpVhaWvL6668b2k2aNInt27fTunVrbty4wQ8//GAUW9euXQ1/9vf3JyIigr59+9K3b1+Sk5OZP38+NWvW5NVXXzXUmzlzJocPH+bFF1+kYsWK3Lhxgy1btvDbb7/h6+tL1apVDXWXLVvGtGnT+P7773FzczM8y59++onevXvTu3dvwyFDP/30E926dTOaJTxy5Ej27NnD66+/Tt++fYG7p7eXLFkSf3//R/wuioiIiIiIiMizQgnOZ5CdnR3jx49n9OjR9OvXj969e2NjY8Phw4eZM2cOzs7ODBs2LFu7P/74gzt37pCamsrFixcJDw/n119/xdfXl06dOhnVzcjIyHGGaJkyZahcufK/dWtPRNu2balSpQoLFiyge/fujB49mo0bNxIeHs7Vq1fZv38/VapU4eOPP6Znz55Gbbds2UJoaKjh88mTJzl58iQA5cuXNyQ4s5Kga9euZe3atUZ92NvbGxKcADNmzGD+/Pls3LiRn3/+GXNzc1xdXRk+fLjRnqZZfe7YsYMdO3Zku697E5wVKlRg6dKlTJo0ia+++gpzc3NatWpFYGCg0f6bL730EhcvXmTt2rVcv34dCwsLatWqxcSJE41OZs9N48aNWbFiBVOnTiU4OJgbN25gb29PQEAAb7zxhlHdF154gaVLlzJ58mRmzpyJiYkJTZs25d13333o7RJERERERERE5Nljkpl1Qoz8z5g6dSoLFix44MnTx44dY+bMmRw5coTk5GTs7e3p3LkzAwYMoGjRooZ6+/btM8yog7v7e5YpUwZnZ2e6deuWbfnw1KlTmTZtWo5jvvbaa4wfP/6R7+m3334DIHj7RS5EXX/k9lkc7G2YMLxjvtsHBgbi5eVlmKEoT4fk5GROnTpFnTp1sLKyKuhw5Cmid0PyovdDcqN3Q/Ki90PyovdDcqN3Q/ISGRmJiYlJoTvL5GmiGZz/g4YOHcrQoUMfWM/Z2ZlZs2Y9sJ6bmxtnzpx54uOLiIiIiIiIiIg8LiU4pVCxL5f9RO7/y/aenp7Y29s/Vh8iIiIiIiIiIvLkKMEphcrgnu6P3UdGRiampib5anvv3pgiIiIiIiIiIlLwTB9cReTpkJqayq1btx67n/wmN0VERERERERE5OmjBKcUKjoTS0RERERERERE7qUEpxQqJiaafSkiIiIiIiIiIv+lBKcUGhYWFhQtWvSx+8nI0CxQEREREREREZH/FTpkSAqV6cG/EBVzM9/t7cuVfKyDigIDA/Hy8sLNzS3ffYiIiIiIiIiIyJOjBKcUKlExN7kQdf2x+wkJCWHMmDGGz2ZmZpQpUwZ3d3cCAgKws7PLV7/Lly9n7969REZGcvnyZby8vJg0aVK2env27GH9+vUcPnyYK1euULZsWZo2bcrw4cMpV66cod6lS5do06ZNruN169aNzz//3PD5+PHjfPPNNxw5coTMzEwaNGjAO++8Q506dYza7d69m40bNxIZGcm5c+eoUKEC27dvz3Wcv//+mylTpvDrr7+SlJRE+fLl6dChAwEBAY/yePjwww9ZvXo1L730ErNnzza6NmHCBA4cOEBUVBS3b9+mYsWKdOzYET8/P4oVK/ZI44iIiIiIiIjIs0MJzmfM1KlTmTZtGuXKlWPXrl2YmhrvUuDj48ORI0cMibn7E4FWVlbY2dnRoEEDevbsiZOTk1H7wMBAQkNDDZ+LFi1KlSpV8PX1pVu3bv/uzeXDsGHDqFSpEqmpqRw9epTQ0FAOHTpEeHg4RYoUyVY/PT2d1NTUXPubN28eSUlJODo6Ehsbm2u9oKAgbt68Sfv27XFwcODixYssXbqUnTt3sm7dOmxtbQEoXbo0X375Zbb2P//8M2FhYbi7/3c26okTJ+jVqxcVKlRgyJAhZGRksHz5cvr06cPq1aupXr26oW54eDgbN26kbt26RgnVnJw6dQpfX1/s7Ozo378/NjY2/PPPP1y5ciXPdvf77bffCA0NzfG5Zl1v1KgR3t7eFClShJMnTzJnzhx+/fVXli1blu1dFREREREREREBJTifSebm5ly/fp0DBw4YLbWOiori6NGjWFlZZWszb948ihcvzq1btzh//jxr166le/fujBw5koEDBxrVrVy5MpMnTwYgKSmJrVu38uGHH2JlZUWnTp3+3Zt7RC1btsTR0RG4OxvSxsaGuXPnsm3bNjp27AhAQkICEyZMICIiguTkZMLCwrCysqJhw4Z88803lChRwtDfkiVLqFixIiYmJjRo0CDXcceMGUOjRo2MknYvvvgiffr0YenSpYaZkVZWVnTt2jVb+9DQUKytrfHw8DCUTZkyBUtLS1asWIGNjQ0Ar7zyCu3ateObb75h6tSphroBAQF89tlnmJubM2jQIP74448c48zIyODdd9+levXqfP/991haWj7wmeYkMzOT8ePH07VrV/bu3ZtjneDg4GxlVapU4YsvviAyMhIXF5d8jS0iIiIiIiIi/9s0JeoZZG5uTsuWLdmwYYNR+YYNG6hRowZVqlTJ1qZevXq4uLjQrFkzevXqxerVq+nSpQtff/01Bw8eNKpraWmJi4sLLi4uuLu788knn1CnTh22bNnyr97Xk+Dq6grAxYsXDWXjx48nLCyM/v374+7uzrBhwxg6dChJSUncunXLqL29vf1DnfTeuHHjbDMSGzduTKlSpfjzzz/zbBsTE8O+ffto27at0WzIgwcP0qxZM0NyE6BcuXI0adKEHTt2kJSUZCi3s7PD3Nz8gXHu3r2b33//ncGDB2NpacmtW7e4c+fOA9vd74cffuD3339/5CXt9vb2AMTHxz/ymCIiIiIiIiLybFCC8xnVuXNnNm/eTFpamqEsPDyczp07P1R7U1NTPvjgAywsLHKceXe/YsWKkZ6enu94/69ERUUBGM3K3LlzJ15eXgwbNoxy5crh6uqKn58fK1asyPdenTlJSkoiKSnJKEGZk40bN5KRkUGXLl2MylNTU3OcYWlpaUlaWlquszTzsmfPHuDuCfbe3t64uLjg7OxMQEAAN27ceKg+EhMTmTx5Mv7+/oal97lJT08nLi6O6Ohodu/ezbfffkuxYsWybYUgIiIiIiIiIpJFCc5nVOvWrUlNTeWXX34B4OzZs5w5c8awLPthlCpVinr16nHkyJFs19LT00lPTyc+Pp41a9Zw+PBh2rVr98Tif1ISExOJi4vjypUrbN68mWnTpmFhYUHr1q0NdczMzLLN1Pw3LF68mLS0NDp06JBnvfXr12Nra0vTpk2NyqtVq8bRo0eNZlimpqYSGRkJQHR09CPHdOHCBQBGjBhB9erV+e6773jzzTfZsmUL/v7+ZGZmPrCP6dOnU6RIEfr16/fAusePH6dZs2a0bNmSAQMGkJmZycyZMylVqtQjxy4iIiIiIiIizwbtwfmMKlq0KB4eHmzYsIGXXnqJ8PBwGjRoQOXKlR+pnwoVKnDixAmjsj/++IN69eoZlfn5+fHKK688dtxP2v1JN3t7e4KCgihfvryhzNvbm7lz55KWlkZUVBQxMTFPPI4DBw4wffp0OnToQLNmzXKtd/78eU6cOEG/fv2yLXHv1asXn3zyCR988AFvvPEGGRkZzJw503DYUUpKyiPHlZycDICjo6NhX9V27dpRtGhRvvrqK/bs2UPz5s3zjHfJkiV89dVXWFhYPHC8F154gYULF5KcnMyRI0fYs2ePIQYRERERERERkZxoBuczrHPnzmzbto2UlBQ2btyYrwOAMjMzs+05WaVKFdasWcOaNWtYunQpI0aMYMmSJUybNu1Jhf7EjB07loULF/Ldd9/RqlUrrl+/ni0RFxAQwCeffMKlS5c4ceIEo0ePxt3dnXnz5pGRkfHYMZw7d44hQ4ZQo0YNPv/88zzrhoWFAWRbng7Qs2dP/P39CQ8Pp1OnTnTp0oW///6bAQMGAHe3CXhUWUve79+6IOvz4cOH82w/fvx4GjRo8NCzd62trWnevDmenp6888479O/fn7fffpvTp08/cuwiIiIiIiIi8mzQDM5nWIsWLTA3N2fKlClcunTpgUujc3LlyhXKli1rVFakSBHDyeRw9/Cca9euMWvWLPr06fNULTd2cnIyxOrp6UmvXr0YNWoUERERhoSgqakpPj4++Pj4EBgYSPXq1Tlx4gRBQUFkZGRkO0X+UVy+fJkBAwZgbW3NnDlzsLa2zrN+eHg41apVo379+jleDwgIwM/Pjz/++IPixYtTq1Ytvv76awAcHBweOb5y5coBUKZMGaPyrM95Hf6zZ88efv75Z6ZNm8alS5cM5enp6aSkpHDp0iVKlSqV5z23bduWd999lw0bNlC7du1Hjl9ERERERERE/vdpBuczzNzcnLZt27Jo0SKaNm2aLVH5INevX+f48eM0aNDggXWrV69OWloaf/31V37D/deZmZkxcuRIYmJiWLZsWa71nJ2dmTJlCjVr1iQiIiLf412/fh0/Pz9SU1OZP3++IZmYm2PHjvHXX3/lOHvzXiVLlsTV1ZVatWoB8Ouvv1K+fHmqV6/+yDFmbTVw//6dWcv0S5cunWvby5cvAzBkyBDatGlj+IqOjmbv3r20adOGNWvW5Dl+amoqGRkZJCQkPHLsIiIiIiIiIvJs0AzOZ1y3bt24du0a3bt3f6R2GRkZTJgwgbS0NHr37v3A+lkneD/ohPCC5ubmhpOTE4sXL+b111+nSJEi3Lx5k5IlSxrVy8zMJCMjI8dTyx9GcnIyAwcOJDo6mu+///6hZlfmtTw9Nxs3buS3337jvffey7Zn58No06YN48ePJyQkBG9vb0Mfq1evBjDafzMmJoaEhASqVKmCubk5TZs2Zfr06dn6/Oijj6hYsSJvvfUWNWvWBO7OBC1atCjm5uZGdbPGyW3GqoiIiIiIiIiIEpzPOCcnJ2bMmPHAeidOnKB48eKkpKRw/vx51q5dy4kTJ3jnnXeyzeBMSUnh6NGjhj8fPHiQ1atX4+7uTpUqVf6N23iiBgwYwPDhwwkJCaFnz568/PLLeHt706RJE65du8b+/ftZsmQJZ8+e5ZNPPjFqu337dsN+kWlpaZw5c8bwfD08PAzLrEePHk1kZCSvvvoq586d49y5c4Y+ihUrhqenp1G/d+7cYdOmTbi4uOT6DLMOKnJ3d6dUqVIcO3aMkJAQXnzxRfr27WtU9/Tp02zfvh2Av/76i4SEBEOctWvXxsPDAwBbW1v8/f357rvveOONN2jTpg1nzpxh1apVdO7cGScnJ0OfX3/9NaGhoWzbto1KlSpRsWJFKlasmC3OCRMmULZsWaN73L9/P59//jnt2rWjatWqpKWlcejQIbZs2UL9+vWfygOqREREREREROTpoASnPJQ33ngDACsrK8qVK0fDhg0ZO3asUYIry8WLF+nRowdwdxm8vb09AwYM4M033/w/jTm/2rZtS5UqVViwYAHdu3dn9OjRbNy4kfDwcK5evcr+/fupUqUKH3/8MT179jRqu2XLFkJDQw2fT548ycmTJwEoX768IcGZlQRdu3Yta9euNerD3t4+W4Lz119/5erVq/j7++cat52dHWZmZsyfP5+kpCQqVarEiBEj6NevH889Z/yjfvLkSaZMmWJUlvXZy8vLkOAEePvttylZsiRLlixh4sSJlC1bFn9/fwYPHpz7Q3xENWvWxM3NjW3bthEbG0tmZiZVqlRh8ODBDBgw4KFOYBcRERERERGRZ5NJZmZmZkEHIfIgv/32GwDB2y9yIep6vvtxsLdhwvCO+W4fGBiIl5cXbm5u+e5Dnrzk5GROnTpFnTp1sLKyKuhw5Cmid0PyovdDcqN3Q/Ki90PyovdDcqN3Q/ISGRmJiYmJ0YHN8mg0g1MKFftyJR9c6V9sLyIiIiIiIiIiTxclOKVQGdzT/bH7yMjIxNTUJF9tPT09sbe3f+wYRERERERERETkyVCCUwqN1NRUbt26RdGiRR+rn/wmN4Fse2OKiIiIiIiIiEjBMi3oAEQehbaMFRERERERERGReynBKSIiIiIiIiIiIoWWEpxSqJiY5H95uYiIiIiIiIiI/O9RglMKDQsLi8fefzMj4/GWuAcGBrJv377H6kNERERERERERJ4cHTIkhcr04F+IirmZr7b25UoaTmEPCQlhzJgxhmtmZmaUKVMGd3d3AgICsLOzy9cYy5cvZ+/evURGRnL58mW8vLyYNGlStnp79uxh/fr1HD58mCtXrlC2bFmaNm3K8OHDKVeunKHerVu3CAkJYdu2bfz+++8kJSVRtWpVunfvTo8ePTAzMzPUvXTpEm3atMkxrq+//ppOnToZlWVkZLBixQpWrlzJ+fPnKVq0KLVq1eL999+ndu3aRvXmz59PcHAwsbGxODg4MGjQIDp37vzA5/Gw95k1zsqVK1mxYgV///03RYsWpW7durz99ts0bNjwgWOJiIiIiIiIyLNJCU7Jl6lTpzJt2jTDZxsbG2rWrMmwYcNwdXVl37599O3blzVr1uDo6PjExo2KucmFqOtPrL9hw4ZRqVIlUlNTOXr0KKGhoRw6dIjw8HCKFCmSrX56ejqpqam59jdv3jySkpJwdHQkNjY213pBQUHcvHmT9u3b4+DgwMWLF1m6dCk7d+5k3bp12NraAnDx4kU+++wzmjVrRr9+/bC2tmb37t2MGzeOY8eO8cUXX2Tru3PnzrRs2dKozMXFJVu9999/n7CwMLp27UqfPn1ITk7m1KlTXLt2zajeN998w5w5c+jevTuOjo5s27aNUaNGYWJiki1pmt/7BPjyyy9ZuHAhr7zyCr169SI+Pp6VK1fi6+tLcHAwTk5OeY4lIiIiIiIiIs8mJTgl3ywtLVm8eDEAV65cYcaMGfTr14+QkJACjuzhtWzZ0pCA7datGzY2NsydO5dt27bRsWNHABISEpgwYQIREREkJycTFhaGlZUVDRs25JtvvqFEiRKG/pYsWULFihUxMTGhQYMGuY47ZswYGjVqhKnpf3eJePHFF+nTpw9Lly4lICAAgLJlyxIWFkaNGjUM9Xx8fBgzZgwhISG8/fbbVK1a1ajvunXr0rVr1zzve+PGjYSGhjJt2jRefvnlXOtFR0ezcOFCevfuzdixYw3PqU+fPnz55Ze0b9/eaBZpfu8zPT2d4OBg2rVrR1BQkKFu+/bt8fT0ZP369UpwioiIiIiIiEiOtAen5JupqSkuLi64uLjQvn17Zs2aRXp6OitWrCjo0PLN1dUVuDtzMsv48eMJCwujf//+uLu7M2zYMIYOHUpSUhK3bt0yam9vb/9QByE1btzYKOmXVVaqVCn+/PNPQ1np0qWNkptZspKS586dy7H/5OTkPGeaLlq0CCcnJ15++WUyMjJITk7Osd6PP/5IWloavXr1MpSZmJjQs2dPrly5wpEjR3K/SR7+PtPT00lJSaFs2bJGdcuUKYOpqSmWlpZ5jiMiIiIiIiIizy4lOOWJqVixIqVLl+bSpUsFHUq+RUVFARjNyty5cydeXl4MGzaMcuXK4erqip+fHytWrMj3Xp05SUpKIikpCRsbmwfWvXr1KkCOdadNm0aDBg1wcnLi1VdfZffu3UbXExMTiYyMxNHRka+//ppGjRrRoEED2rRpw8aNG43qnjp1CisrK55//nmj8qzZlKdOnXqke4Sc79PS0hJnZ2dCQ0NZv349//zzD6dPnyYwMJASJUrQo0ePRx5HRERERERERJ4NWqIuT0xiYiI3btzIdnjM0ywxMZG4uDhSU1M5duwY06ZNw8LCgtatWxvqmJmZZZup+W9YvHgxaWlpdOjQIc96qampLF68mEqVKhntb2pqakqLFi3w9PTEzs6OixcvsmjRIt58801mzpzJSy+9BMDff/9NZmYmGzZs4LnnnuOdd96hePHifP/994wcORJra2vDHp6xsbGUKVMm26zUrL0zY2Jinth9BgUFERAQwDvvvGMoq1y5MsHBwVSuXPmRxxERERERERGRZ4MSnPJY0tPTgbt7cH7xxRfcuXOHdu3aFXBUD69fv35Gn+3t7QkKCqJ8+fKGMm9vb+bOnUtaWhpRUVH5Suo9yIEDB5g+fTodOnSgWbNmedb97LPPOHv2LHPmzOG55/77I1yxYkXmz59vVLdr16506tSJSZMmGRKcWcvRb9y4wapVq3B2dgbAw8ODNm3aMHPmTEOCMyUlBQsLi2wxZB3AlJKS8sTus1ixYrzwwgu4uLjQrFkzYmNjmTt3LoMHD2bZsmWULl36kcYSERERERERkWeDlqhLviUnJ1OvXj3q1atHmzZt2LdvH2PHjuXFF18s6NAe2tixY1m4cCHfffcdrVq14vr169kSegEBAXzyySdcunSJEydOMHr0aNzd3Zk3bx4ZGRmPHcO5c+cYMmQINWrU4PPPP8+z7rx581i1ahXDhw+nVatWD+y7VKlSeHt7c/78ea5cuQL8NzlZqVIlQ3IT7iYYW7duzW+//WZIXFtaWua4l+ft27cN1x9WXveZnp5O//79KV68OGPHjuXll1+mV69eLFy4kIsXL2ZL3IqIiIiIiIiIZNEMTsk3S0tLli5diomJCTY2NlSoUCHbgTJPOycnJ8Myb09PT3r16sWoUaOIiIigWLFiwN2l3z4+Pvj4+BAYGEj16tU5ceIEQUFBZGRkMHDgwHyPf/nyZQYMGIC1tTVz5szB2to617ohISFMnjwZHx8f3n777YceI2s26o0bNyhfvrxhC4H7D/SBu4f6pKWlcevWLYoXL46trS379u0jMzPTaJl6bGwswENvR/Cg+zxw4AC///47gYGBRuUODg5Ur16dw4cPP/T9ioiIiIiIiMizpXBlo+SpYmpqiqOjI/Xr18fe3r7QJTfvZ2ZmxsiRI4mJiWHZsmW51nN2dmbKlCnUrFmTiIiIfI93/fp1/Pz8SE1NZf78+XkmC3/88Uc+/PBD2rZty8cff/xI42Qd+pS1xNvOzg5bW1uio6Oz1Y2JiaFIkSKG5G6dOnW4detWttPajx07Zrj+IA9zn9euXQPgzp072a6lp6fnWC4iIiIiIiIiAkpwihhxc3PDycmJxYsXG5Zh37x5M1u9zMxMMjIyHmmJ9r2Sk5MZOHAg0dHRzJkzBwcHh1zrHjhwgJEjR+Lq6srkyZNzTSTHxcVlK4uOjmbt2rXUqlXLKLHYoUMHLl++zC+//GLUftu2bTRt2tQwRps2bTA3N2f58uWGepmZmYYT5Bs0aGAoj4mJ4dy5c6SlpT3yfWaV33+K+4kTJzh//vxDJVJFRERERERE5NmkJeryr9q7dy9RUVFGZZUqVaJ+/foFFNGDDRgwgOHDhxMSEkLPnj15+eWX8fb2pkmTJly7do39+/ezZMkSzp49yyeffGLUdvv27Zw+fRqAtLQ0zpw5w4wZM4C7h/jUrl0bgNGjRxMZGcmrr77KuXPnjGZIFitWDE9PTwCioqJ46623MDExoV27dmzatMlovFq1ahn6DAoK4u+//6ZZs2aUK1eOqKgoVqxYQXJyMh988IFRu0GDBrFp0yaGDh1q2PsyODiY9PR0Ro4caahXvnx5+vbty/z580lPT8fR0ZEff/yRgwcPMnnyZMzMzAx1v/76a0JDQ9m2bRuVKlV6pPusX78+7u7uhIaGkpiYiLu7O7GxsSxduhRLS0tef/31R/wuioiIiIiIiMizQglO+VdNnjw5W9lrr73G+PHjCyCah9O2bVuqVKnCggUL6N69O6NHj2bjxo2Eh4dz9epV9u/fT5UqVfj444/p2bOnUdstW7YQGhpq+Hzy5ElOnjwJ3E0WZiUjs5Kga9euZe3atUZ92NvbGxJ/ly5dIiEhAYBPP/00W6xDhgwx9Onu7s7FixdZtmwZ8fHxFC9enMaNG/PWW29Rr149o3Zly5YlODiYL774gkWLFpGeno6LiwtBQUGG/rKMHj2akiVLsnLlSkJCQnBwcCAoKIguXbo88Fk+7H0CzJgxg/nz57Nx40Z+/vlnzM3NcXV1Zfjw4VSvXv2BY4mIiIiIiIjIs8kkMzMzs6CDEHmQ3377DYDg7Re5EHU9X3042NswYXjHx4ojMDAQLy8v3NzcHqsfebKSk5M5deoUderUwcrKqqDDkaeI3g3Ji94PyY3eDcmL3g/Ji94PyY3eDclLZGQkJiYmhkOQ5dFpD04REREREREREREptLREXQoV+3IlC6RtFk9PT+zt7R+7HxEREREREREReTKU4JRCZXBP98dqn5GRiampSb7b37tnpIiIiIiIiIiIFDwtUZdCIzU1lVu3bj1WH4+T3BQRERERERERkaePEpySL3fu3CmQcXUmloiIiIiIiIiI3EsJTnkogYGBNGzYkAULFnDw4EH69+9fIHGYmGgGpoiIiIiIiIiI/JcSnPJA8fHx7Nmzh8mTJ7N//34CAgIKJMFpYWFB0aJF890+I+PxZn8GBgayb9++x+pDRERERERERESeLB0yJA9UokQJdu3aBYCHh0eBxjI9+BeiYm4+cjv7ciUNBxSFhIQwZswYwzUzMzPKlCmDu7s7AQEB2NnZ5Su25cuXs3fvXiIjI7l8+TJeXl5MmjQpW72YmBi+//57jh07xvHjx0lOTub777/Hzc0tW92MjAxWrlzJihUr+PvvvylatCh169bl7bffpmHDhkZ1L1y4wJQpUzh06BA3b96kQoUKdO7cmQEDBuSaGI6Pj6ddu3bExcUxZcoU2rdvb7gWGRnJunXr2LdvH1FRUZQqVQpnZ2dGjBhBtWrVHuqZHD9+nKlTpxrus1KlSnTr1o3evXtjZmZmVDcxMZEZM2YQERFBTEwMNjY2NGjQgC+++OKxEtsiIiIiIiIi8r9NCc5CKjAwkOPHjxMeHp7t2vjx49m2bRvbt29n37599O3bF2tra3bs2EGJEiUM9X788UcGDx7Mtm3bqFSpEnA3gfnSSy8xduzYbP0OHTqULVu2MGHCBF599dUc4zp37hwzZsxg79693Lx5Ezs7O15++WX8/f0pVarUY993VMxNLkRdf+x+AIYNG0alSpVITU3l6NGjhIaGcujQIcLDwylSpEi2+unp6aSmpuba37x580hKSsLR0ZHY2Nhc650/f565c+fi4OBArVq1OHLkSK51v/zySxYuXMgrr7xCr169iI+PZ+XKlfj6+hIcHIyTkxMAly9fplu3bhQvXpw+ffpQsmRJjh49ytSpUzlx4gQzZ87Msf/vvvuOlJSUXO/n8OHDtG/fnlq1ahEbG8uyZcvw9vZm5cqV1KxZM9e44W5y08fHBwcHB958800sLS356aefGD9+PH///TcffvihoW5CQgJ9+vThypUr9OjRgypVqhAXF8ehQ4dITU1VglNEREREREREcqUE5zMiMTGRxYsXM3To0Hy1T0hIYOfOnQCEh4fnmOA8cOAAAwcOpEqVKrz77rtUqFCB06dPM3PmTHbs2MHSpUuxtbV9nNt4olq2bImjoyMA3bp1w8bGhrlz57Jt2zY6duwI3L3vCRMmEBERQXJyMmFhYVhZWdGwYUO++eYbo4TxkiVLqFixIiYmJjRo0CDXcevVq8e+ffsoVaoUERERuSY409PTCQ4Opl27dgQFBRnK27dvj6enJ+vXrzckOH/44Qfi4+NZvnw5NWrUAKBHjx5kZGSwbt06bt68ScmSJY36//333wkODubtt9/mu+++yzZ+v379mDx5MhYWFoayjh070qVLF+bMmcPkyZPzfL4rV64EYOnSpYbkto+PD3369CE0NNQowfnVV1/xzz//EBISQuXKlfPsV0RERERERETkXtqD8xnh5ubGkiVLSExMzFf7iIgIUlNTcXd3Z+/evcTExBhdT0lJYeTIkVSsWJHg4GC6du1KkyZN6Nu3L0uXLuWff/7h008/fRK38q9xdXUF4OLFi4ay8ePHExYWRv/+/XF3d2fYsGEMHTqUpKQkbt26ZdTe3t7+oQ5Bsra2fqjZrOnp6aSkpFC2bFmj8jJlymBqaoqlpaWhLOv7WqZMGaO6tra2mJqaYm5unq3/8ePH4+npabjv+zVs2NAouQng4OBAjRo1+PPPPx8Yf2JiIkWKFDFKAmfFdG/s8fHxhISE0L17dypXrkxqamqeM2VFRERERERERO6lBOczYsCAAdy+fZslS5bkq31YWBhVq1YlMDCQjIwMNm7caHQ9a99Ef39/rKysjK49//zzdO3ala1btxIVFZXve/i3ZcV2b0Ju586deHl5MWzYMMqVK4erqyt+fn6sWLEi33t1PixLS0ucnZ0JDQ1l/fr1/PPPP5w+fZrAwEBKlChBjx49DHWbNGkCwAcffMCpU6e4fPkyGzduJDg4GF9f32zfk02bNnHkyBHeeeedR4opMzOTq1evYmNj88C6TZo0ITExkbFjx3Lu3DmioqIIDg5m69atDBw40FDv0KFD3L59m6pVqzJs2DBcXFxwcnLCx8eHU6dOPVJ8IiIiIiIiIvLs0RL1Z0Tp0qXp0aMHixYtom/fvhQrVuyh20ZHR3PgwAHeeustatasSe3atQkLC6Nfv36GOvv37wegdevWOfbh4eHB6tWrOXToEPb29o91L09KYmIicXFxpKamcuzYMaZNm4aFhYXRPZiZmWWbqfl/KSgoiICAAKNEZOXKlQkODjZayt2yZUuGDx/O7Nmz2b59u6Hc39+fgIAAoz5TUlL48ssv6devH5UqVXqkpPP69euJjo5m2LBhD6zbvXt3zp49y8qVK1m9ejVw93l+9NFH9OzZ01Dvr7/+Au4uU69SpQpffPEFCQkJTJ8+nddff53w8HDKlSv30DGKiIiIiIiIyLNFCc5nyIABAwgODmb58uW8+eabD90uPDycjIwMOnfuDECXLl0ICgri/PnzhtO0o6OjKVGiBNbW1jn2UbFiRQCuXLnymHfx5NyboIW7S8yDgoIoX768oczb25u5c+eSlpZGVFRUtqX5/7ZixYrxwgsv4OLiQrNmzYiNjWXu3LkMHjyYZcuWUbp0aaP4XV1dadeuHaVKlWLnzp3Mnj0bW1tb+vTpY6g3Z84c0tLSGDRo0CPFcu7cOT799FMaNGiAl5fXA+ubmZlRuXJlWrRoQfv27bGwsGDDhg18/vnn2Nra4unpCUBSUhIAJiYmLFq0yJB8r1u3Lj169GDZsmXZkrQiIiIiIiIiIlmU4HyG2NnZ8dprr7Fw4UKjhNeDhIWFUa9ePapXrw5A586dmTx5MmFhYQ81k+9pNXbsWKpVq0ZCQgJr167lwIED2facDAgIwN7entWrV3Py5ElGjx7NpEmT6N+/P35+fpia/nu7PKSnp9O/f3+aNGnCRx99ZChv3rw5nTt3Zv78+YaZnRs2bGDs2LFs3rzZkKBt27YtmZmZTJ48mU6dOmFjY8OlS5eYP38+Y8eOfaRZvLGxsQwaNIjixYszZcoUzMzMHthmzpw5fP/992zevNkwVseOHfH19WXcuHG89NJLPPfcc4b9OFu3bm0Uk4uLC5UqVcrzlHkREREREREREe3BWUiZmZlx586dHK9lZGTw3HM5567ffPNN4uPjDSdcP8jZs2c5deoUHh4exMfHEx8fj5WVFS4uLoSHhxvq2dnZER8fn+shRv/88w+A0ezIgubk5ETz5s1p164dM2fOpGbNmowaNcowoxDA1NQUHx8f1q5dS9euXRk1ahSurq4EBQUxb968fzW+AwcO8Pvvv+Ph4WFU7uDgQPXq1Tl8+LChbPny5dSpUyfb8/Xw8ODWrVuGvSy/++477OzsaNKkCZcuXeLSpUtcvXoVgLi4OC5dukRGRoZRHwkJCbz55pskJCQwb968h957dPny5bi5uWVLpLZp04aYmBjD0vis5ef3H6YEdw9Nio+Pf6jxREREREREROTZpARnIVW6dGlDYup+MTExRkuX71WxYkW8vLyYN28et2/ffuA4YWFhAEydOpXGjRsbvo4cOcJff/1FZGQk8N9Dbnbt2pVjPzt37sTExCTXE7sLmpmZGSNHjiQmJoZly5blWs/Z2ZkpU6ZQs2ZNIiIi/tWYrl27BpBjIjs9Pd2o/OrVq9kSkwBpaWmG+gCXL1/mr7/+wtPTkzZt2tCmTRtGjhwJwLhx42jTpo1Rkvr27dv4+/tz4cIFZs2axQsvvPDQ8T9sTPXq1QPubnNwv7zeZRERERERERERUIKz0GrcuDHx8fEcOHDAqDwxMZF9+/bRuHHjXNsOHDiQ69evs2rVqjzHyMzMJCwsDBcXF77//nujrwULFmBhYcH69esBaN++PeXKlWPmzJnZDuU5f/48oaGhtG3b1rAX59PIzc0NJycnFi9ebEj+3rx5M1u9zMxMMjIyDEur/y0ODg4A2U6sP3HiBOfPn6dOnTqGsmrVqnHy5EnOnz9vVHfDhg2YmppSq1YtAIYPH8706dONvoYPHw7AG2+8wfTp0ylatChwN7E6YsQIjh49ypQpU2jQoEGuscbExHDu3DlD8jIrpl9//ZXr168byu7cucOmTZsoVqwYVapUAaB69erUrl2bbdu2ERcXZ6i7e/duLl++TPPmzR/6mYmIiIiIiIjIs0d7cBZSLVq0wNXVlSFDhjB48GBq1KhBTEwM8+bNw9TUFF9f31zbVq5cmS5duhAaGprnGIcPHyYqKorBgwfj5uaW7bqHhwebNm1izJgxWFpa8vXXXzNw4EB69epF//79qVChAqdPn2bWrFlUqFDBaB/Jp9WAAQMYPnw4ISEh9OzZk5dffhlvb2+aNGnCtWvX2L9/P0uWLOHs2bN88sknRm23b9/O6dOngbuzFM+cOcOMGTOAu8+qdu3ahrpZ5WfPngXghx9+4NChQwC8/fbbANSvXx93d3dCQ0NJTEzE3d2d2NhYli5diqWlJa+//rpR3D/99BO9e/emd+/ehkOGfvrpJ7p162ZYVp7TDNrixYsD4OjoaDj4B2DSpEls376d1q1bc+PGDX744Qejdl27djX8+euvvyY0NJRt27ZRqVIl4O52CO+88w7du3ene/fuWFpasmHDBk6cOMGIESMwNzc3tB8zZgx+fn706tULHx8fEhISWLhwIQ4ODkYnrouIiIiIiIiI3E8JzkLK1NSU2bNn891337Fw4UJiYmKwtramadOmTJ061bCvYW4GDRrE+vXrc93HE+4uTy9atCjt2rXL8bqXlxcRERHs2bOHFi1a0LhxY9asWcOMGTOYNGkS8fHxlCtXji5duuDv70+pUqUe55b/T7Rt25YqVaqwYMECunfvzujRo9m4cSPh4eFcvXqV/fv3U6VKFT7++ONsibctW7YYJY1PnjzJyZMngbt7j96b4JwyZYpR27Vr1xr+nJXghLuJ0Pnz57Nx40Z+/vlnzM3NcXV1Zfjw4YZDn+DujN4VK1YwdepUgoODuXHjBvb29gQEBPDGG2/k61lkJWt37NjBjh07sl2/N8GZk1deeQUbGxvmzJnD/PnzSUxMpFq1aowbNw4fHx+juk2bNmXevHlMmTKFr7/+mqJFi+Lp6ck777zzSIchiYiIiIiIiMizxyQzMzOzoIMQeZDffvsNgODtF7kQdf0BtbNzsLdhwvCOjxVDYGAgXl5eOc5mlYKVnJzMqVOnqFOnDlZWVgUdjjxF9G5IXvR+SG70bkhe9H5IXvR+SG70bkheIiMjMTExwdHRsaBDKbS0B6eIiIiIiIiIiIgUWlqiLoWKfbmS/6ft7uXp6Ym9vf1j9yMiIiIiIiIiIk+OEpxSqAzu6Z7vthkZmZiamuS7/b0H8IiIiIiIiIiIyNNBS9Sl0EhNTeXWrVv5bv84yU0REREREREREXk6KcEphYrOxBIRERERERERkXspwSmFiomJZmGKiIiIiIiIiMh/KcEphYaFhQVFixbNV9uMjMeb+RkYGMi+ffseqw8REREREREREXnydMiQFCrTg38hKubmI7WxL1fScDhRSEgIY8aMMVwzMzOjTJkyuLu7ExAQgJ2dXb7iWr58OXv37iUyMpLLly/j5eXFpEmTcqwbHx9PUFAQW7duJSUlBUdHRwIDA6lXr55RvaSkJL799ls2b95MXFwclStXxtfXl169ehnVO3DgAPPnz+fUqVPExcVRokQJateuzdtvv02jRo2M6u7evZuNGzcSGRnJuXPnqFChAtu3b88xzpiYGKZOncovv/zC1atXKVeuHG3atMHf3x8bG5s8n8ejxOTr68v+/fuz9dGiRQvmz5+f5zgiIiIiIiIiIkpwSqESFXOTC1HXH7ufYcOGUalSJVJTUzl69CihoaEcOnSI8PBwihQpkq1+eno6qampufY3b948kpKScHR0JDY2Ntd6GRkZDBw4kDNnzjBgwABsbGxYvnw5vr6+hISE4ODgAMCdO3cYMGAAx48fp3fv3lStWpXdu3czbtw44uPj8ff3N/R54cIFTE1N8fHxoWzZssTHx7N+/Xr69OnD7NmzadmypaFueHg4GzdupG7dupQrVy7XOJOSkvDx8SE5OZlevXpRoUIFTp8+zbJly9i3bx8hISGYmuY+AfxRYgIoX748I0eONCrLKz4RERERERERkSxKcMojmzp1KtOmTTN8trGxoWbNmgwbNgxXV1f27dtH3759DdetrKyoWrUqffr04dVXX30q9tFs2bIljo6OAHTr1g0bGxvmzp3Ltm3b6NixIwAJCQlMmDCBiIgIkpOTCQsLw8rKioYNG/LNN99QokQJQ39LliyhYsWKmJiY0KBBg1zHjYiI4MiRI0yZMoX27dsD0KFDB9q1a8fUqVP56quvANiyZQtHjhxh/PjxvPbaawD06tWLYcOGMWPGDLp160aZMmUM8Xfr1s1onF69euHp6cnixYuNkokBAQF89tlnmJubM2jQIP74448c49y+fTtRUVHMnj2bl156yVBesmRJpk+fzunTp6lbt26u9/koMQEUL16crl275tqfiIiIiIiIiEhutAen5IulpSUrV65k5cqVfPLJJ9y4cYN+/frx+++/G+pMnDiRlStXMmXKFKpUqcIHH3zAypUrCzDq3Lm6ugJw8eJFQ9n48eMJCwujf//+uLu7M2zYMIYOHUpSUhK3bt0yam9vb/9QidvNmzdTtmxZ2rZtaygrXbo0HTp0YNu2bYZZoocOHQKgU6dORu07duzI7du32bZtW57jFC1alNKlS5OQkGBUbmdnh7m5+QPjTExMBDAkUbPY2toC5DjL9UFyiylLeno6SUlJj9yviIiIiIiIiDzblOCUfDE1NcXFxQUXFxfat2/PrFmzSE9PZ8WKFYY6NWrUwMXFhZYtW/LNN9/g4ODA0qVLCzDq3EVFRQEYzcrcuXMnXl5eDBs2jHLlyuHq6oqfnx8rVqzI916dp06dom7dutmWdzs6OnLr1i3Onz8PQGpqKmZmZtmSkVmHLB0/fjxb34mJicTFxXHu3Dm+/vprfv/9d5o1a5avOBs3boypqSnjx4/n6NGjXLlyhV27djFr1iw8PT15/vnnH6qfh43pwoULuLi40LBhQ9zd3fn2229JS0vLV+wiIiIiIiIi8mzREnV5IipWrEjp0qW5dOlSjtfNzMyoU6cOO3fu/L8NLBdZibfU1FSOHTvGtGnTsLCwoHXr1oY6ZmZm2WZqPq7Y2FjDbNF7Ze03GRMTQ61atahWrRp37tzh6NGjRvUPHjxoqHe/4cOHs3v3bgDMzc3p0aMHb7/9dr7ifOGFF/j000/58ssv6dGjh6Hcy8uLzz///KH7eZiYKleujJubGzVr1iQ5OZnNmzczc+ZMLly4wLfffpuv+EVERERERETk2aEEpzwRiYmJ3LhxI8+DYS5duvTUHBzTr18/o8/29vYEBQVRvnx5Q5m3tzdz584lLS2NqKioHJOKjyolJQULC4ts5Vllt2/fBqBz585Mnz6dDz74gLFjx1K1alV++eUXli9fbujnfqNHj8bPz4/Lly+zbt060tLSSE9Pz9dycri7nN3JyYmWLVtib2/PwYMHWbJkCTY2Nrz33nsP1cfDxDRhwgSjNv/5z3/46KOPWLVqFf369cPFxSVf8YuIiIiIiIjIs0EJTsm39PR0AK5cucIXX3zBnTt3aNeuneF6RkYG6enpJCQksHLlSn777TcGDRpUUOEaGTt2LNWqVSMhIYG1a9dy4MCBbInHgIAA7O3tWb16NSdPnmT06NFMmjSJ/v374+fnl+cp4rmxtLTM8TT2rLKsxJ+trS0zZ87k3Xffxc/PDwBra2s++ugj3nvvPaysrLL1UadOHcOfX3nlFby9vRkzZgzffffdI8d56NAh/P39WblypeEwJk9PT6ytrZk2bRqvvvoqL7zwwgP7yW9M/fv3Z9WqVfz6669KcIqIiIiIiIhInpTglHxJTk6mXr16hs8lS5Zk7NixvPjii+zbtw+A7t27G64/99xz+Pj4MHjw4P/zWHPi5ORklLjr1asXo0aNIiIigmLFigF39xn18fHBx8eHwMBAqlevzokTJwgKCiIjI4OBAwc+8ri2trbExsZmK8+aHXrvDNfGjRvz448/8vvvv5OcnEzt2rUN9RwcHPIcx8LCAg8PD+bMmUNKSgqWlpaPFOfKlSspU6aM4Rll8fDwYOrUqRw5cuShEpz5jalChQoA3Lx585HGEBEREREREZFnjxKcki+WlpYsXboUExMTbGxsqFChQrYZjV988QXPP/881tbW2Nvb57g0+2lgZmbGyJEj6du3L8uWLcs1cens7MzAgQPp0qULERER+Upw1q5dm0OHDpGRkWH0vCIjIylatCjVqlXLFtu9syB//fVXAJo3b/7AsVJSUsjMzCQpKemRE5zXrl0jIyMjW3nWrN2sfz6qh40p6zT70qVL52scEREREREREXl26BR1yRdTU1McHR2pX78+9vb2OS7Xfv7553F0dKRatWpPbXIzi5ubG05OTixevNiwD2ZOswczMzPJyMh45IRhlvbt23P16lW2bNliKIuLiyMiIoLWrVvn+Zzi4uKYN28etWrVMkpwXrt2LVvd+Ph4tmzZQoUKFShTpswjx+ng4MDVq1cNs3GzhIeHA1C3bl1DWUxMDOfOnTM69fxhY0pMTMy2ZD8zM5OZM2cC0KJFi0eOXURERERERESeLZrBKfL/DRgwgOHDhxMSEkLPnj15+eWX8fb2pkmTJly7do39+/ezZMkSzp49yyeffGLUdvv27Zw+fRqAtLQ0zpw5w4wZM4C7y7pr164NQLt27XBxcWHMmDGcPXsWGxsbgoODuXPnDkOHDjXqs0+fPri4uFC1alViY2NZtWoVycnJzJo1yyih/Oabb2JnZ4ezszNlypThn3/+ISQkhJiYGL755hujPk+fPs327dsB+Ouvv0hISDDEWbt2bTw8PADo3bs3ISEh+Pv74+vrS8WKFTlw4ADh4eG4u7vj7Oxs6PPrr78mNDSUbdu2UalSpUeK6cSJE4waNYpOnTpRpUoVbt++zdatWzl8+DA9evQw2gZBRERERERERCQnSnCK/H9t27alSpUqLFiwgO7duzN69Gg2btxIeHg4V69eZf/+/VSpUoWPP/6Ynj17GrXdsmULoaGhhs8nT57k5MmTAJQvX96Q4DQzM2POnDl8+eWXLFmyhNu3b+Po6MjEiROpXr26UZ/16tUjIiKC6OhorK2tad68OSNGjKBy5cpG9V599VU2bNjAokWLSEhIoESJEjg7O/PVV1/h6upqVPfkyZNMmTLFqCzrs5eXlyHBWb16ddauXcu3337L+vXruXr1KuXKlcPPz49hw4Y98Fk+bEwVK1akUaNGbN26latXr2Jqakr16tUZN24cPXr0eOA4IiIiIiIiIiImmZmZmQUdhBQuU6dOZcGCBRw5ciTH6/v27aNv376sWbMm2yE1+fXbb78BELz9Iheirj9SWwd7GyYM7/hY4wcGBuLl5YWbm9tj9SP/juTkZE6dOkWdOnVyPGFenl16NyQvej8kN3o3JC96PyQvej8kN3o3JC+RkZGYmJg8sRzKs0h7cMojGzp0aK7JTbi7n+WZM2f0gykiIiIiIiIiIv86LVGXQsW+XMn/kzb38/T0xN7e/rH7ERERERERERGRJ0sJTilUBvd0z1e7jIxMTE1N8j2up6dnvtuKiIiIiIiIiMi/R0vUpdBITU3l1q1b+Wr7OMlNERERERERERF5einBKYWKzsQSEREREREREZF7KcEphYqJiWZiioiIiIiIiIjIfynBKYWGhYUFRYsWzVfbjIzHm/kZGBjIvn37HqsPERERERERERF58nTIkBQq04N/ISrm5iO1sS9X0nA4UUhICGPGjDFcMzMzo0yZMri7uxMQEICdnV2+4lq+fDl79+4lMjKSy5cv4+XlxaRJk3KsGx8fT1BQEFu3biUlJQVHR0cCAwOpV6+eoc6+ffvo27dvruONGDGCt956y/D5+PHjTJ06lePHj5OcnEylSpXo1q0bvXv3xszMLMc+/v77bzp16kRqaipr1qzB0dHRcO3+53Sv3bt3Y2trm+fzAMjIyGDFihWsXLmS8+fPU7RoUWrVqsX7779P7dq1DfVmzpzJsWPHiIyM5Nq1awwZMoShQ4c+sH8REREREREREVCCUwqZqJibXIi6/tj9DBs2jEqVKpGamsrRo0cJDQ3l0KFDhIeHU6RIkWz109PTSU1NzbW/efPmkZSUhKOjI7GxsbnWy8jIYODAgZw5c4YBAwZgY2PD8uXL8fX1JSQkBAcHBwCef/55vvzyy2zt169fz+7du3F3/+9p8sePH8fHxwcHBwfefPNNLC0t+emnnxg/fjx///03H374YY6xTJgwgeeeey7P+8p6TvcqUaJErvXv9f777xMWFkbXrl3p06cPycnJnDp1imvXrhnV+/bbb7G1taVOnTrs3r37ofoWEREREREREclSKBKcU6dOZdq0aYbPpUqVonr16vj7+9OqVStDuYeHB1FRUTn2kTXr7P6ZcVZWVlStWpU+ffrw6quvYmJiwqVLl2jTpg1Tpkyhffv2Rv3Ex8fTuHFjJk6ciLe3NwC+vr7s37/fUMfa2prnn3+egQMH4unpaSjPGvv+2XL38vX1xcrKitmzZxuVnzlzhjlz5rBv3z5u3LhBiRIlaNiwIb1796ZZs2ZGddPS0mjRogU3b95k+/btVKxY0eh6VhzW1tbs2LHDKGH1448/MnjwYLZt22aU2Lp58yazZs1i69atXLlyhRIlStC0aVMGDx7M888/b9T/9evXmTlzJjt37uTy5ctYW1vj4OBAu3bt6NevX473/X+tZcuWhu9Bt27dsLGxYe7cuWzbto2OHTsCkJCQwIQJE4iIiCA5OZmwsDCsrKxo2LAh33zzjdFzW7JkCRUrVsTExIQGDRrkOm5ERARHjhwxerc6dOhAu3btmDp1Kl999RUAZcuWpWvXrtnaT58+HQcHB5ycnAxlK1euBGDp0qWUKlUKAB8fH/r06UNoaGiOCc6ff/6Z3bt388YbbzBz5syHek6PYuPGjYSGhjJt2jRefvnlPOtmvWtxcXHZ3mURERERERERkQcpFAlOAEtLSxYvXgxATEwMs2bNwt/fn2XLltGwYUNDvXbt2uHn55etfVbiJ8vEiROpXr068fHxrFmzhg8++ID09HR8fHzyFV/Dhg157733AAx9Dh06lKVLl9KoUaN89Znlxx9/JCAggBo1ahAQEECVKlWIi4tjy5Yt+Pn5sX//fooXL26ov3v3bm7cuAFAeHg4AwcOzLHfxMREFi9e/MDlwLGxsfTp04ebN2/i7+9P3bp1uXLlCgsWLOC1115jzpw5NG7cGLg70/H1118nISGBgQMHUr16da5evcrhw4fZsWPHU5PgvJ+rqytz587l4sWLhrLx48cbnt/Ro0dp1KgRRYsWZcuWLdy6dcsowWlvb/9Q42zevJmyZcvStm1bQ1np0qXp0KED69evJzU1FQsLixzbRkZG8tdff2X7fiUmJlKkSJFsMyttbW05f/58tn7S0tIYP348ffv2pUqVKg+MOTExkaJFi+a61D0nixYtwsnJiZdffpmMjAxSUlKwsrLKse79M0RFRERERERERB5FoUlwmpqa4uLiYvjs7OxMq1atWLdunVGCs2zZskb1clOjRg3DzDR3d3c6duzI0qVL853gLFGihNG4zZs3p0WLFmzbtu2xEpyxsbG89957NGrUiDlz5hglv9q1a0e3bt147jnjb2N4eDglSpSgcuXKhIWF5ZrgdHNzY8mSJfTv3x9ra+tcYxg3bhz//PMP69atM5qt6enpyWuvvcaoUaPYunUrRYoUYf/+/Zw5c4alS5cakp4AnTp1IiMjI7+P4V+XNfP33iThzp078fLyYtiwYQQGBuLq6oqbm1uOCfSHderUKerWrYupqfH5Xo6Ojoa9KmvVqpVj2/Xr1wPQpUsXo/ImTZqwceNGxo4dS//+/Q1L1Ldu3co777yTrZ/FixcTHx/P22+/zZYtW/KMt2/fviQnJ2Nubk6LFi0IDAw0LKPPTWJiIpGRkfTq1Yuvv/6aJUuWGPYFHTVqlGGGrIiIiIiIiIjIk1BoT1G3s7OjdOnS/PPPP4/dl5mZGXXq1OHSpUtPILK7nnvuOSwtLUlPT3+sflatWkViYiJjxozJcWZf06ZNjU4WT05OZvv27bRr1w5vb29+//13zpw5k2PfAwYM4Pbt2yxZsiTX8aOiovjxxx/5z3/+k20pupWVFf7+/kRHR7Np0ybg7lJ2IMdDaO5P6hWkxMRE4uLiuHLlCps3b2batGlYWFjQunVrQx0zMzNu3br1RMeNjY3N8dmUK1cOuDs7OSd37txh06ZNODk5UbVqVaNr3bt3p0+fPqxbt46OHTvi4eHBZ599xgcffMDrr7+ebfwZM2YwfPjwPJPalpaWeHt78/HHHzN9+nTeeOMN9u7di4+PD5cvX87zHv/++28yMzPZsGEDa9eu5Z133mHy5MmULl2akSNH8tNPP+XZXkRERERERETkURSaGZz3S0pK4ubNm9mWt2ZmZmZLKpqYmDxwee2lS5cMSab8uHfc+Ph4Vq5cSXR0tNFS5Pw4cOAA5cqVy3VW3/1+/PFHkpOT6dy5MzVq1GDixImEh4fn2L506dL06NGDRYsW0bdvX4oVK5bj+JmZmUaJv3t5eHgAcPDgQf7zn/9Qp04dTE1N+fDDDxk8eDCNGjXKdcl1Qbp/qby9vT1BQUGUL1/eUObt7c3cuXNJS0sjKioq1+Tjo0hJScnxeWSV3b59O8d2e/bs4erVqwwaNCjbNTMzMypXrkyLFi1o3749FhYWbNiwgc8//xxbW1ujfWAnT55M5cqV6datW55xduzY0WimpaenJy1atKBPnz7MnDmTTz/9NNe2ycnJANy4cYNVq1bh7OwM3H1X2rRpw8yZM2nZsmWe44uIiIiIiIiIPKxCleDMSiDGxMQQFBREsWLFjA4MAli+fDnLly83KqtSpQpbt241KsvIyCA9PZ2EhARWrlzJb7/9lmPy6GHt2rWLevXqGT6bmZkZljU/jujo6GyHBOUlPDwcOzs7mjRpgqmpKU2bNiU8PJyRI0diYmKSrf6AAQMIDg5m+fLlvPnmm9muZyX1covB2tqaEiVKcOXKFQAcHBwIDAwkKCiIfv36YW5ujpOTEx06dKBnz57ZltMXlLFjx1KtWjUSEhJYu3YtBw4cyJZ4DAgIwN7entWrV3Py5ElGjx7NpEmT6N+/P35+fvmakWppaZnjqeVZZTmd4A4QFhaGmZlZjsu758yZw/fff8/mzZsNSeqOHTvi6+vLuHHjeOmll3juuec4evQoP/zwA4sWLcpX7K6urjg7O7Nnz54862XdQ6VKlQzJTYBixYrRunVrwsLCSE9Pf2reBREREREREREp3ApNhiE5OTlbAnHGjBlUr17dqF6HDh0YMGCAUVlOSaPu3bsb/vzcc8/h4+PD4MGD8x1fo0aNGDNmDHB3dumuXbuYNGkSJUqUwMvLK9/9AjkmJnMSFxfHL7/8gq+vryGB1aVLF9577z0OHTqUY7LVzs6O1157jYULF9KnT5/HijPL66+/TseOHdm+fTv79+9nz549fP7552zZsoXFixc/FUvVnZycDHuwenp60qtXL0aNGkVERIQhSWhqaoqPjw8+Pj4EBgZSvXp1Tpw4QVBQEBkZGbnubZoXW1tbYmNjs5VnJZJzmkWckpLC1q1badasGWXLls12ffny5bi5uWWbgdumTRsmTpxIVFQUVatWJSgoCFdXVypVqmTYjuH69evA3aXr//zzzwOT6eXLl8/x4KJ7Zd1DTrGWKVOGtLQ0bt26ZXQwloiIiIiIiIhIfhWaBKelpSVLly4lMzOTCxcu8NVXX/Hee+8RFhZmlBQqXbq0IXGVly+++ILnn38ea2tr7O3tjWbvZc0sy+lQnDt37hjVyVK8eHGjcZs2bcr58+f54osv+M9//vPQScr72dnZ8eeffz5U3U2bNpGenk6rVq2Ij48H7h4kZGFhQVhYWK6zSd98801Wr17NypUrsy35z3q2//zzD7Vr187WNjExkfj4eKOl3XA3kdejRw969OhBWloaY8eOJSQkhB07dtCmTZuHup//K2ZmZowcOZK+ffuybNmyXBOXzs7ODBw4kC5duhAREZGvBGft2rU5dOgQGRkZRoneyMhIihYtSrVq1bK12b59O0lJSdkOF8py9erVHN/VtLQ04L8zny9fvkxUVFSOz/+tt96iePHiHDx4MM/4L168iI2NTZ517OzssLW1JTo6Otu1mJgYihQpkuN2CCIiIiIiIiIi+VHwU+kekqmpKY6Ojjg5OfHKK68wbdo04uPjmT59er76e/7553F0dKRatWrZliaXKlUKU1PTPGfalSlT5qHGuH79OteuXctXjHD3hOzo6Gj++OOPB9YNDw8H7u4v2bhxYxo3bsxLL71EamoqERERhoTX/SpWrIiXlxfz5s3Ltgdk48aNMTExYefOnTm2zSrPaym+ubm5Yc/Lc+fOPfA+CoKbmxtOTk4sXrzY8AyyDky6V2ZmJhkZGVhaWuZrnPbt23P16lWj08vj4uKIiIigdevWOe7PGRYWRtGiRXn55Zdz7LNatWr8+uuvhtmY8N9DiYoVK0aVKlUA+PTTT5k+fbrRl6+vLwDvvfcekydPNorpfrt27eLEiRO8+OKLRuV///03f//9t1FZhw4duHz5Mr/88otRn9u2baNp06ZPxSxeEREREREREfnfUGhmcN7P0dGRTp06ERISwpAhQ3I8mTq/LC0tcXR0ZNu2bdlOof7xxx8pUqTIQ80S/eOPPzA3N8/ztOoH6datG/Pnz2fixInMnj0bc3Nzo+v79u3DycmJuLg4jhw5go+PT7Z9Gk+dOsXEiRP5+eefDYcC3W/gwIGEhISwatUqo3J7e3s8PT1Zt24d/fv3N5pheOvWLWbNmkX58uXp0KEDcPdgGWtr62wzXC9cuADkfLr602LAgAEMHz6ckJAQevbsycsvv4y3tzdNmjTh2rVr7N+/nyVLlnD27Fk++eQTo7bbt2/n9OnTwN2Zk2fOnGHGjBnA3cN1sma/tmvXDhcXF8aMGcPZs2exsbEhODiYO3fuMHTo0Gwx3bhxg59//pm2bdvmOuvxzTff5J133qF79+50794dS0tLNmzYwIkTJxgxYoThnWnRokW2tlkzfRs3bmz0Tvv4+FCnTh3q169P8eLFOXnyJGvXrqVChQr4+/sb9ZGVvN6+fbuhbNCgQWzatImhQ4fSv39/ihcvTnBwMOnp6YwcOdKo/bp16/jnn39ISUkB7h5slfXsunbtir29fY73LSIiIiIiIiIChTjBCfD222+zceNGFi9ezOjRo4G7y3WPHj2are4LL7zwSInGoUOHMnDgQIYMGULXrl0pUqQIe/fuZdGiRbz55puUKFHCqH58fLxh3Kw9OHft2mVION1r7969REVFGZVVqlSJ+vXrZ4vD1taWL774ghEjRtCzZ0969+5N5cqVuX79Oj/++CNhYWHs27fPMHvzjTfeoHLlykZ9NGrUiDlz5hAeHp5rgrNy5cp06dKF0NDQbNc+/vhj+vTpQ+/evRk0aBB169YlOjqaBQsWEBUVxZw5cwz7nO7du5fJkyfj5eWFk5MTzz33HKdOnWL27NlUrFgx11mIT4O2bdtSpUoVFixYQPfu3Rk9ejQbN24kPDycq1evsn//fqpUqcLHH39Mz549jdpu2bLF6NmdPHmSkydPAnf3rcxKcJqZmTFnzhy+/PJLlixZwu3bt3F0dGTixInZ9pMFDDNvO3funGvcr7zyCjY2NsyZM4f58+eTmJhItWrVGDduHD4+Pvl6Fh06dGDXrl388ssvpKSkYGtrS7du3RgyZEiOe2ver2zZsgQHB/PFF1+waNEi0tPTcXFxISgoKNtWB2vXrmX//v2Gz/v27WPfvn3A3XdXCU4RERERERERyYtJZmZmZkEH8SBTp05lwYIFHDlyJNu10aNHs2PHDnbu3EnXrl2zJQ6zLFu2DFdXV/bt20ffvn1Zs2bNA2dh/vLLL8ycOZMTJ06QlpaGg4MDPXr0oE+fPkZ7avr6+holaCwtLalcuTJeXl74+voalh1njZ2T1157jfHjx+Pr64uVlRWzZ882un769Gnmzp3Lvn37uH79OiVKlKBRo0b06dOHpk2b0qVLF4oXL57tBPksEyZMYNWqVfzyyy8cP348x2dw/vx5OnXqxJ07d9i2bZvRfpw3b95k1qxZbNmyhejoaIoXL07Tpk0ZMmQIzz//vKHe5cuXWbp0KXv27OHSpUvcvn2b8uXL8+KLLzJw4MAcD9F5GL/99hsAwdsvciHq+gNqG3Owt2HC8Oynjz+KwMBAvLy8cHNze6x+5N+RnJzMqVOnqFOnDlZWVgUdjjxF9G5IXvR+SG70bkhe9H5IXvR+SG70bkheIiMjMTExeajVwpKzQpHgFFGCU/KivyxIbvRuSF70fkhu9G5IXvR+SF70fkhu9G5IXpTgfHyFeom6PHvsy5X8P2lzP09PTy2VFhERERERERF5CinBKYXK4J7u+WqXkZGJqanJgyvmwtPTM99tRURERERERETk32Na0AGIPKzU1FRu3bqVr7aPk9wUEREREREREZGnlxKcUqhoy1gREREREREREbmXEpwiIiIiIiIiIiJSaCnBKYWKiYmWmouIiIiIiIiIyH8pwSmFhoWFBUWLFn2kNhkZj7ekPTAwkH379j1WHyIiIiIiIiIi8u/RKepSqEwP/oWomJsPVde+XEnDqeshISGMGTPGcM3MzIwyZcrg7u5OQEAAdnZ2+Yrn6tWrfPXVV+zcuZOkpCSef/55Bg4cSIcOHYzqbd26lRUrVnDmzBlu3LhB6dKlcXFxYciQIdSsWTNbv9u2bWPatGmcPXuWMmXK4O3tzdtvv81zz/33R/b+e7rX7t27sbW1NXy+ffs2ixYt4ocffiAqKooSJUrQoEEDhg4dSo0aNR54n3/99RdfffUVe/bsITU1lbp16zJ8+HCaNm2are7SpUtZtmwZFy9exMbGho4dOzJ8+HCsrKweOI6IiIiIiIiIyKNSglOYOnUq06ZNM3y2sbGhZs2aDBs2DFdXVwCOHj3KtGnTOHXqFAkJCZQtW5b69eszYMAAnJ2ds/VjYmJCsWLFqFixIo0bN6Z37948//zzjx1rVMxNLkRdz3f7YcOGUalSJVJTUzl69CihoaEcOnSI8PBwihQpkq1+eno6qampOfaVmJhIr169uHr1Kn379sXW1pZNmzYxYsQI0tPT6dKli6HumTNnKFGiBH379sXGxoarV6+ydu1aunXrxsqVK6ldu7ah7q5duxg8eDBNmjTho48+4vfff2fmzJlcu3aNcePG5XpP9ypRooTR59GjR7N9+3a6detGvXr1iI6OZvny5fTo0YOwsDDs7e1zfWaXL1+mR48emJmZMWDAAIoWLUpISAgDBgxg0aJFNG7c2FA3KCiIefPm0a5dO/r27cu5c+dYunQpZ8+eZf78+bmOISIiIiIiIiKSX0pwCgCWlpYsXrwYgCtXrjBjxgz69etHSEgICQkJ9O3blxdffJFx48ZRrFgx/vrrL3788UciIyMNCc77+0lKSuL3339n5cqVrFq1ivHjx9O1a9cCub8sLVu2xNHREYBu3bphY2PD3Llz2bZtGx07dgQgISGBCRMmEBERQXJyMmFhYVhZWdGwYUO++eYbQ/JwxYoV/PXXXyxatIhmzZoB0LNnT7p3784XX3xBu3btsLCwAGDIkCHZYunWrRutWrVi+fLlfPrpp4byL7/8klq1arFgwQLDjM1ixYoxe/Zs+vbtmy1RfO895SQ6OpotW7bg5+fHe++9Zyh3dXXl9ddfZ+vWrfTr1y/X9nPmzCEhIYGwsDCqV68OQPfu3enQoQMTJ04kJCQEgJiYGBYtWkTXrl358ssvDe0dHBz47LPP2L59Ox4eHrmOIyIiIiIiIiKSH9qDUwAwNTXFxcUFFxcX2rdvz6xZs0hPT2fFihUEBwdjb2/P9OnT8fT0pFmzZvj4+DBv3jx69+6daz/u7u7079+fH374gUaNGvHBBx9w8eLFArrDnGXNUL03rvHjxxMWFkb//v1xd3dn2LBhDB06lKSkJG7dumWod/DgQUqXLm1IbsLd++/QoQOxsbEcOHAgz7HLlCmDpaUlCQkJhrKzZ89y9uxZunfvbrQcvVevXmRmZrJ58+Yc+0pMTOTOnTu5XgMoW7asUXnWEvacZq7e6+DBg9SpU8eQ3AQoWrQoHh4enDhxggsXLgB3Z/mmp6fTqVMno/ZZieMNGzbkOY6IiIiIiIiISH4owSk5qlixIqVLl+bSpUvEx8dTunRpzMzMstUzNX3wK1SkSBE++ugj0tLSWL169b8Rbr5FRUUBxku6d+7ciZeXF8OGDaNcuXK4urri5+fHihUrjPbqTEtLw9LSMlufWWUnTpzIdi0+Pp64uDjOnDnDBx98QGJiolGC9OTJkwDZZmTa2dlRvnx5Tp06la3Pvn370qhRI5ydnfH39zckHLNUqVKF8uXLs3DhQrZv386VK1eIjIzkk08+oVKlStkSkvdLTU19qPvMWsp/f8I062ConJ6HiIiIiIiIiMjj0hJ1yVFiYiI3btygXLly2NraMmPGDL799lu6dOmSr700X3jhBezs7Dhy5Mi/EO3DS0xMJC4ujtTUVI4dO8a0adOwsLCgdevWhjpmZmZGMzVzU61aNX799VeioqKM9rA8dOgQcHdp+P26d+/O+fPnAbCysuKtt97itddeM1yPjY0FMDogKIutrS0xMTGGz5aWlnh7e+Pm5oa1tTXHjx9n0aJF+Pj4EBoaSoUKFQAwNzdn6tSpjBo1irfeesvQvl69eqxYsSLbfp053eehQ4dITEzE2traUH748GGj+6xWrZqh/N7Dhw4ePJjr8xAREREREREReVxKcIpBeno6cHcPzi+++II7d+7Qrl07GjRowLFjx5g5cyYzZ86kVKlStGjRgp49exqWeD+MChUqcPXq1X8r/Idy/16T9vb2BAUFUb58eUOZt7c3c+fOJS0tjaioKKOk4r1ee+01VqxYwYgRIxgzZgxly5Zl06ZNbN26FYCUlJRsbSZOnEhiYiIXL14kJCSE27dvc+fOHcNM2Kw2WXt33qtIkSKG5eZwd+l31vJvAE9PT1q0aEGfPn2YOXOm0b6eJUqUoE6dOrRv3x5nZ2f+/vtvZs+ezfDhw1m4cGGey9R79uzJjh07CAgIICAggKJFi7J8+XKOHz9uFHO9evVwdnZm7ty52NnZ4ebmxrlz5xg3bhzm5ubcvn071zFERERERERERPJLCU4BIDk5mXr16hk+lyxZkrFjx/Liiy8CsGDBAiIjI9m5cyeHDh1i8+bNbNiwgc8++4xu3bo91BiZmZmYmJj8K/E/rLFjx1KtWjUSEhJYu3YtBw4cyJZMDAgIwN7entWrV3Py5ElGjx7NpEmT6N+/P35+foZkZO3atZk8eTIff/wxPXv2BO7Osnz//ff55JNPsLKyyjZ+gwYNDH/u1KmTIUGZdfhP1rLvnE5uv337do5Lxe/l6uqKs7Mze/bsMZQlJCTQu3dvBgwYgJ+fn6G8fv36+Pr6snbtWnr16pVrn61ateKjjz7iq6++wsvLC4CqVasyYsQIgoKCjO5z6tSpjBgxgvfffx+4Oxu2X79+HDhwwDBzVURERERERETkSVKCU4C7ibWlS5diYmKCjY0NFSpUyLa/ppOTE05OTsDdQ3l8fX2ZPHnyQyc4r1y5goODw5MO/ZE4OTkZ9rf09PSkV69ejBo1ioiICIoVKwbc3VfUx8cHHx8fAgMDqV69OidOnCAoKIiMjAwGDhxo6K99+/Z4eHhw+vRpMjIyqFu3Lvv37wd44L2WLFmSpk2bEhYWZkhwZi1Nj42NNSwxzxIbG2t4/nkpX768UTJx8+bNXL16NdsJ5k2aNMHa2prDhw/nmeAE6NOnD97e3pw5cwZzc3Pq1KnDmjVrgP8uTYe7e4UGBwdz4cIFrl69StWqVbG1taVFixYF/r0XERERERERkf9NOmRIgLtJPUdHR+rXr4+9vf0DDw+qXLky7du358aNGw+17PyPP/4gOjraaAZjQTMzM2PkyJHExMSwbNmyXOs5OzszZcoUatasSURERLbrFhYWODk54eLigoWFBb/++isAzZs3f2AMKSkpRqeo16lTB4DffvvNqF50dDRXrlyhdu3aD+zz4sWL2NjYGD5fu3YNINsp65mZmWRkZOR6+vr9rKysaNCgAfXr18fMzIxff/0VS0tLGjZsmK2ug4MDrq6u2NracvbsWWJjYx/qeYiIiIiIiIiIPColOOWBcktgXrhwAQsLiwceUnP79m0+++wzLCwsHnq25/8VNzc3nJycWLx4sWGPyJs3b2arl5UMfNAS8QsXLrBixQpat25tNLMxK8l4r0uXLrFnzx7q169vKKtRowbVq1dn1apVRonH4OBgTExMaN++vaEsLi4uW5+7du3ixIkThq0F4L8zSTdu3GhUd9u2bSQnJxuSqnB3Ofu5c+eMkq45OXz4MFu3buW1116jePHiudbLyMggKCiIokWL4uPjk2efIiIiIiIiIiL5oSXq8kAffvghd+7coW3btjg4OJCYmMjmzZvZsWMHr7/+utEelhkZGRw9ehS4u6/n77//zsqVK7l48SKTJk2iUqVKBXQXuRswYADDhw8nJCSEnj178vLLL+Pt7U2TJk24du0a+/fvZ8mSJZw9e5ZPPvnEqG3Hjh1p3749FSpU4NKlS6xYsYJSpUoxbtw4o3pdunShWbNm1K5dm5IlS3LhwgXWrl1Leno6o0aNMqr77rvv8tZbb+Hn50enTp34/fffWbZsGd26dTM6wd7Hx4c6depQv359ihcvzsmTJ1m7di0VKlTA39/fUK9169bUqFGD6dOn888//+Ds7Mxff/3FsmXLsLW1NTrFfevWrYwZM4aJEyfi7e0NQFRUFCNGjMDDw4OyZcty9uxZVqxYQa1atQgICDCK/fPPPyc1NZXatWuTnp5OeHg4kZGRTJo0iYoVKz7W90lEREREREREJCdKcMoD9e7dm3Xr1jF79mxiY2OxtLSkSpUqjB8/3nDoTJaUlBR69OgB3F3SXKlSJZo1a8a0adOMknNPk7Zt21KlShUWLFhA9+7dGT16NBs3biQ8PJyrV6+yf/9+qlSpYnSYUJbatWsTEhLC1atXsbGxoX379gwbNowyZcoY1evZsyc7d+7k559/JikpidKlS+Pu7s6gQYOoVauWUd3WrVszbdo0pk2bxmeffUbp0qUZNGgQgwcPNqrXoUMHdu3axS+//EJKSgq2trZ069aNIUOGULZsWUM9CwsLli1bxowZM9i5cyfh4eEUK1YMT09PAgICKF26dJ7Px9raGltbW5YtW8aNGzews7PD19cXf39/rK2tjerWrVuXxYsXExYWhomJCU5OTixatIimTZs+9PdDRERERERERORRmGRmZmYWdBAiD5K1J2Xw9otciLr+UG0c7G2YMLzjY40bGBiIl5cXbm5uj9WP/LuSk5M5deoUderUyfH0enl26d2QvOj9kNzo3ZC86P2QvOj9kNzo3ZC8REZGYmJiYjgUWR6d9uAUERERERERERGRQktL1KVQsS9X8l+pmxtPT0/s7e0fux8REREREREREfl3KMEphcrgnu6PVD8jIxNTU5N8j+fp6ZnvtiIiIiIiIiIi8u/THpxSKBw+fJjMzEzMzc0xMcl/wlL+N2VmZpKWlqb3Q7LRuyF50fshudG7IXnR+yF50fshudG7IXlJTU3FxMSEhg0bFnQohZZmcEqhkPULQL8IJCcmJiZYWFgUdBjyFNK7IXnR+yG50bshedH7IXnR+yG50bsheTExMVG+4zFpBqeIiIiIiIiIiIgUWjpFXURERERERERERAotJThFRERERERERESk0FKCU0RERERERERERAotJThFRERERERERESk0FKCU0RERERERERERAotJThFRERERERERESk0FKCU0RERERERERERAotJThFRERERERERESk0FKCU0RERERERERERAotJThFRERERERERESk0FKCU0RERERERERERAotJTjlqXfu3Dn69++Pi4sL7u7ufPnll6SmphZ0WPIU+Ouvvxg7dixdu3albt26dO7cuaBDkqfEpk2beOutt2jZsiUuLi507dqVNWvWkJmZWdChSQHbtWsXffr0oWnTptSvX582bdowceJEEhISCjo0ecokJSXRsmVLatWqxW+//VbQ4UgBCwkJoVatWtm+Jk+eXNChyVMkNDSU//znPzg6OuLm5sYbb7xBSkpKQYclBcjX1zfHf3fUqlWLDRs2FHR48hTYtm0b3bp1o0GDBrRo0YLhw4dz8eLFgg6rUHquoAMQycvNmzd5/fXXcXBwYOrUqURHRzNp0iRSUlIYO3ZsQYcnBeyPP/5g165dODs7k5GRoeSVGCxatAh7e3sCAwOxsbHh119/5aOPPuLKlSsMGTKkoMOTAnTjxg2cnJzw9fWlVKlS/PHHH0ydOpU//viDBQsWFHR48hSZMWMGd+7cKegw5Ckzb948ihcvbvhsZ2dXgNHI02TmzJnMnTsXf39/XFxcuH79Onv27NG/R55xH3/8MYmJiUZlixcvZsuWLTRr1qyAopKnxb59+xgyZAj/+c9/CAgI4MaNG0yZMgU/Pz/CwsKwtLQs6BALFSU45am2YsUKkpKSmDZtGqVKlQLgzp07jBs3jkGDBukvlc84Dw8PPD09AQgMDOT48eMFHJE8LWbOnEnp0qUNn5s1a8aNGzdYuHAhb7/9NqamWsDwrOratavRZzc3NywsLPjoo4+Ijo7W7xUB7q4eWb58Oe+99x4ff/xxQYcjT5F69eoZ/X4RAfjzzz+ZNm0aM2bMoFWrVobydu3aFWBU8jR44YUXspWNGjUKd3d3/btE2LBhAxUrVmTChAmYmJgAULp0aV5//XWOHz+Oq6trAUdYuOi/8OSp9tNPP9GsWTNDchOgQ4cOZGRk8MsvvxRcYPJUUJJKcpPTXxjr1KlDYmIiycnJBRCRPM2yfsekpaUVbCDy1Pj888/x8fGhWrVqBR2KiBQCISEhVKpUySi5KZKTw4cPc+nSJbp06VLQochTID09nWLFihmSm4BhlYBWJz46ZQfkqfbnn39SvXp1o7ISJUpga2vLn3/+WUBRiUhhdOjQIezs7LC2ti7oUOQpcOfOHW7fvs2JEyeYPn06Hh4eVKpUqaDDkqdAREQEv//+O4MHDy7oUOQp1LlzZ+rUqUObNm2YPXu2lh8LAMeOHaNmzZrMmDGDZs2aUb9+fXx8fDh27FhBhyZPmfDwcKysrGjTpk1BhyJPAW9vb86dO8eyZctISEjg4sWLfP3119StW5eGDRsWdHiFjpaoy1MtPj6eEiVKZCsvWbIkN2/eLICIRKQwOnjwIBs3buS9994r6FDkKdG6dWuio6MBePHFF/nqq68KOCJ5Gty6dYtJkyYREBCg/xkiRmxtbRk6dCjOzs6YmJiwfft2vv32W6Kjo7UvvBAbG8vx48f5/fff+fjjjylatCizZs3Cz8+PLVu2UKZMmYIOUZ4C6enpbNq0CQ8PD6ysrAo6HHkKuLq6Mm3aNEaNGsWnn34K3F11Nm/ePMzMzAo4usJHCU4REfmfduXKFQICAnBzc6Nv374FHY48JebMmcOtW7c4e/YsM2fOxN/fn4ULF+ovk8+4mTNnUqZMGV599dWCDkWeMi+++CIvvvii4XOLFi0oUqQIixcvxt/fn3LlyhVgdFLQMjMzSU5OZsqUKdSuXRsAZ2dnPDw8WLp0KcOHDy/gCOVp8MsvvxAXF0fnzp0LOhR5Shw+fJh3332X7t2789JLL3Hjxg1mzJjBwIEDWb58uQ4ZekRKcMpTrUSJEiQkJGQrv3nzJiVLliyAiESkMImPj+fNN9+kVKlSTJ06Vfu2ikHWf4A2aNAAR0dHunbtytatW2nfvn0BRyYFJSoqigULFjB9+nTD3z2y9uxNTk4mKSmJYsWKFWSI8pTp0KEDCxYs4NSpU0pwPuNKlChBqVKlDL9b4O7+znXr1uXs2bMFGJk8TcLDwylVqhQtWrQo6FDkKfH555/TtGlTAgMDDWUuLi689NJL/PDDD/To0aMAoyt8lOCUp1r16tWz7bWZkJBAbGxstr05RUTulZKSwqBBg0hISGDlypWGDbtF7lerVi3Mzc35+++/CzoUKUCXLl0iLS2NgQMHZrvWt29fnJ2dWbVqVQFEJiJPuxdeeCHX3yG3b9/+P45GnkYpKSn8+OOPvPLKK5ibmxd0OPKUOHfuXLb9WMuXL4+NjY3+XpoPSnDKU61ly5bMmjXLaC/OiIgITE1NcXd3L+DoRORplZ6ezogRI/jzzz9ZtmwZdnZ2BR2SPMWOHTtGWlqaDhl6xtWpU4fvv//eqOzUqVNMnDiRcePG4ejoWECRydNq48aNmJmZUbdu3YIORQpY69atCQkJ4dSpU9SpUweA69evc+LECfr161ewwclTYfv27SQnJ+v0dDFSsWJFTp48aVQWFRXF9evXsbe3L6CoCi8lOOWp5uPjw5IlSxg8eDCDBg0iOjqaL7/8Eh8fHyUshFu3brFr1y7g7i+CxMREIiIiAGjSpAmlS5cuyPCkAI0bN44dO3YQGBhIYmIiR48eNVyrW7cuFhYWBRecFKghQ4ZQv359atWqhaWlJadPn2b+/PnUqlULT0/Pgg5PClCJEiVwc3PL8Vq9evWoV6/e/3FE8jQZMGAAbm5u1KpVC4Bt27axatUq+vbti62tbQFHJwXN09MTR0dHhg0bRkBAAEWKFGHOnDlYWFjQq1evgg5PngJhYWFUrFiRRo0aFXQo8hTx8fFhwoQJfP7553h4eHDjxg3DfuAdOnQo6PAKHZPMzMzMgg5CJC/nzp3js88+48iRIxQrVoyuXbsSEBCgBIVw6dKlbFP6s3z//fe5/oeq/O/z8PAgKioqx2vbtm3TTL1n2Jw5c9i4cSN///03mZmZ2Nvb8/LLLzNgwACdmi3Z7Nu3j759+7JmzRrN4HzGff755/z8889cuXKFjIwMHBwc6NatG76+vpiYmBR0ePIUiIuLY+LEiezYsYO0tDRcXV0ZM2YML7zwQkGHJgXs5s2buLu78/rrr/POO+8UdDjyFMnMzGTFihUEBwdz8eJFihUrhouLCwEBATz//PMFHV6howSniIiIiIiIiIiIFFo6TlZEREREREREREQKLSU4RUREREREREREpNBSglNEREREREREREQKLSU4RUREREREREREpNBSglNEREREREREREQKLSU4RUREREREREREpNB6rqADEBERERERERERedr89ddfzJ8/n2PHjvHHH39QvXp1wsPD893fzp07mTVrFqdPn8bc3JzatWsTFBRE+fLln2DUzyYlOEVEROSZdODAAfbt28frr79O8eLFCzocEREREXnK/PHHH+zatQtnZ2cyMjLIzMzMd18//PADH3zwAX5+fowYMYKkpCQOHjzI7du3n2DEzy4tURcREZFnTlRUFIMHD8ba2vqhk5seHh4EBgYaPu/bt49atWqxb9++fytMAEJCQqhVqxaXLl36V8eRRxcYGIiHh0dBh/E/LTAwkAYNGvyfjffmm2/y4YcfPpG+pk6dSkhISI7Xrl+/jouLC7t27XoiY4mIyL/Dw8ODXbt28d1331GvXr1893Pjxg0+/fRT3n//fUaOHEnTpk1p06YN7733HlWrVn2CET+7lOAUERGRQiMr2VerVi0OHjyY7XpmZiatWrWiVq1aDBo0KMc+0tLSCAgIwMvLi379+v3LET99shKzWV/169enefPm+Pr6MmvWLOLi4go6xGfeqVOnGD16NK1ataJ+/fo0adKEfv36sXbtWu7cuVPQ4f3POnToEL/88gtvvvmmoez+n5c6derQrFkzhg0bxrlz5/I9lo2NDa+99hpTpkx5EqGLiMi/xNT0wWmzzMxM5s+fT7t27ahfvz5t2rRh0aJFRnU2bdpERkYGr7322r8UqWiJuoiIiBQ6RYoUITw8HFdXV6Py/fv3c+XKFSwsLHJte/bsWTp27Mjrr7/+WDE0btyYyMhIzM3NH6ufguLr64ujoyMZGRnExcVx5MgRpk6dysKFC/n2229p1qxZQYf4TFq9ejUff/wxZcqUoWvXrlStWpWkpCT27t3LBx98QGxsLP7+/gUd5v+k+fPn06xZsxxn0mT9vKSnp3PmzBlWrFjBvn37CA8Px9bWNsf+0tPTSU1NzXW8nj17smTJEvbs2aOfNxGRQmz8+PGsXr0af39/nJ2dOXz4MJMnT6ZIkSL07NkTgGPHjlGtWjXWrVvHzJkziY6OpkaNGowcOZJWrVoV8B38b1CCU0RERAqdVq1aERERwYcffshzz/33rzPh4eHUq1ePGzdu5Nq2Tp061KlT57FjMDU1pUiRIo/dT0FxdXWlffv2RmWnT5/Gz8+PYcOGsWHDBsqVK1dA0T2bjh49yscff4yLiwtz5szB2tracK1fv3789ttv/PHHHwUY4f+ua9eusWvXLj755JMcr9//81KtWjU++eQT1q1bZzTjMzU1la+//pq1a9cSHx8PwIQJE3B0dGTixIlUqVLFUPf555+nZs2ahIaGKsEpIlJI/f333yxdupRx48bRo0cPAJo3b05KSgrTp0+nR48emJqaEhsby/nz55kyZQrvvPMOtra2LFu2jLfffpt169ZRo0aNAr6Twk9L1EVERKTQ6dSpEzdu3OCXX34xlKWmprJ582a6dOmSY5uMjAwWLVpEp06dcHR0pHnz5owdO5abN28a1cvMzGTGjBm0bNkSZ2dnfH19c0wq5bQH58GDBxk2bBgvvfQS9evXp1WrVkyYMIGUlJSHuq8//viDvn374uTkRMuWLZkxYwYZGRk51t21axe9evXCxcWFBg0aMHDgwMdOftWuXZv333+f+Ph4li1bZnQtOjqaMWPG0Lx5c+rXr0+nTp1Ys2ZNtj6WLFlCp06dcHZ2pnHjxnh7exMWFma4PnXqVGrVqsW5c+cYPnw4DRs2xM3Njc8//zzHTfZ/+OEHvL29cXJyokmTJgQEBHD58mWjOhcuXGDo0KG4u7vj6OhIy5YtCQgIICEhwVBn7dq19O3bl2bNmlG/fn06duzI8uXLH/rZ/Pjjj3Tu3BlHR0c6d+7M1q1bc6z3sO9ZTqZNm4aJiQmTJ082Sm5mcXR0xNvb2/B5/vz5+Pj44ObmhpOTE97e3kRERGRrV6tWLT799FM2bdpEx44dcXJyokePHpw5cwaAFStW8PLLL+Po6Iivr2+2/V59fX3p3Lkzx48fx8fHBycnJzw8PAgODjaql5qaypQpU/D29qZRo0a4uLjQq1cv9u7da1Tv0qVL1KpVi/nz57Ny5Uo8PT2pX78+r776KpGRkTk+m+joaN5++20aNGhA06ZN+eKLL7It13/Y55GTnTt3kp6eTvPmzR+qftbs8YsXLxqVz549m4ULF9K1a1c6d+6Mr68v77zzDpaWlly7di1bP82bN2fHjh2PdWiFiIgUnF9//RWAtm3bkp6ebvhq3rw5sbGxhr+zZGZmkpyczKeffsp//vMf3N3dmTJlCnZ2dsydO7cgb+F/hmZwioiISKFjb2+Pi4sLGzZsMCzr+emnn0hISKBjx44sWbIkW5uxY8cSGhqKt7e3IYmzbNkyTp48SXBwsGGp+ZQpU5g5cyatWrWiVatWnDhxAj8/P9LS0h4YV0REBCkpKfTs2ZNSpUoRGRnJ0qVLuXLlCt99912ebWNjY+nbty937txh4MCBFC1alFWrVuU4S3TdunUEBgbSokULRo8eza1btwgODqZXr16EhoZSqVKlh3mMOWrXrh0ffPABu3fvJiAgAICrV6/SvXt3TExM6N27N6VLl+ann37igw8+IDEx0bCX6apVq/j8889p164dffv25fbt25w5c4Zjx45lSzyPGDECe3t7Ro0axdGjR1myZAnx8fF8+eWXhjozZ85kypQpdOjQgddee424uDiWLl1K7969WbduHSVKlCA1NZUBAwaQmppKnz59KFu2LNHR0ezcuZP4+HjDIVLBwcHUqFEDDw8PnnvuOXbs2MG4cePIzMykd+/eeT6T3bt3M3ToUF544QVGjRrF9evXGTNmDOXLl89W92Hfs/vdunWLvXv34urqSsWKFR/qe/X999/j4eFBly5dSEtLY8OGDQwfPpzZs2fz0ksvGdU9ePAg27dvp1evXgDMmTMHf39/3njjDZYvX06vXr24efMm8+bN4/333+f77783an/z5k0GDhxIhw4d6NSpE5s2beKTTz7B3NzcsJ9YYmIiq1evpnPnznTr1o2kpCTWrFnDG2+8werVq7PNnA4PDycpKYkePXpgYmLCvHnzGDp0KD/++KPRc7pz5w4DBgzAycmJd999lz179rBgwQIqV65suJ9HfR73O3LkCKVKlcLe3v6hnn1UVBQAJUqUMCrfuXMn7u7ufPjhh0ydOhV7e3vDu5CTevXqsWjRIv744w9q1qz5UGOLiMjT4/r162RmZtK0adMcr1++fBl7e3vD74t765mbm9O4cWOtznhClOAUERGRQqlLly589dVXpKSkYGlpSVhYGI0bN8bOzi5b3YMHD7J69WomT55slGhzc3PjjTfeICIigi5duhAXF8e8efN46aWXmDVrFiYmJgB88803zJo164ExjR49GktLS8PnHj16ULVqVb7++mv++eefPBNXc+fOJS4ujtWrV+Pk5ASAl5cXbdu2NaqXlJTE+PHj6datG5999pmh3MvLi/bt2zN79myj8kdlbm6Og4OD0cy0b775hjt37hAWFoaNjQ1wd//AkSNHMm3aNHx8fLC0tGTnzp3UqFHjgclcgEqVKjFz5kwAevfujbW1NcuXL8fPz4/atWsTFRXF1KlTGTFihNGek23btsXLy4vly5fj7+/PuXPnuHTpElOmTDFaQjxkyBCj8ZYuXWr0venTpw8DBgxg4cKFD0xwTp48mTJlyrB8+XJDwrRJkyb4+fkZJcQe9j3LyV9//UVaWtojJbk2b95sdE+9e/fG29ubhQsXZkvonT9/nk2bNhmS3yVLlmTs2LHMnDmTiIgIw4zRjIwMZs+ezaVLl4wS5TExMQQGBtK/f3/g7rvdvXt3vv76a7p27Yq5uTklS5Zk+/btRnvgdu/enQ4dOrBkyRImTJhgFNM///zDli1bKFmyJHB32ffbb7/N7t27ad26taHe7du36dChA4MHDwbuvnteXl6sWbPGKMH5KM/jfn/++Weeyc2kpCTi4uIMe4VGP5EAAA7uSURBVHBOmDABExOTbD+fZmZm3Lp1K8+x7lW5cmXg7t7ASnCKiBQ+JUuWxMTEhOXLl+f4PzGrVasGwAsvvJBrHzmtYJFHpyXqIiIiUih16NCB27dvs2PHDhITE9m5c2euyaOIiAiKFy+Ou7s7cXFxhq969ephZWVlWGb+66+/kpaWRp8+fQzJTeChDyS6N7mSnJxMXFwcDRo0IDMzk5MnT+bZdteuXbi4uBiSmwClS5fOdk+//vor8fHxdOrUyeheTE1NcXZ2Nloyn19WVlYkJSUBd5dUbdmyBQ8PDzIzM43GbNGiBQkJCZw4cQK4O5vtypUruS4zvtf9ScU+ffoAd2fiAmzdupWMjAw6dOhgNGbZsmWpWrWq4T6zEnO7d+/OM7F07/cmISGBuLg4mjRpwsWLF42Wst8vJiaGU6dO4eXlZUhuAri7u2f7j5WHfc9ykpiYCECxYsVyrZPXPd28eZOEhAQaNWqU47vWrFkzo4Sls7MzcDdhfO9y+Kz37/6l188995xhbzEACwsLevTowbVr1wzffzMzM0NyMyMjgxs3bpCenk79+vVzjKljx46G5CbkvuwbMBzSkKVRo0bZltI/yvO4340bN4xiud/7779Ps2bNePHFF3njjTdISEjgyy+/NPp5BfD29ubw4cMMGDCAI0eOcPXq1Vy3mYD/zgC9fv36A2MUkf/X3r0HRVm2YQC/OMlwCuKUii5HpTLKAcIKBHIwhCFMGgEPNBkYJmFUDMMkqBEeqEgUCJEENeJkRoTFQcHIADEymskophIaoKGQg+BqBOz3B9/7DssusIrWx9f1m+EPdp/d591n3x2Ya5/3von+9wg1lPv6+uDg4KDwI/yNFb64q6+vFx87NDSEr776CkuWLPn7D/z/EHdwEhER0axkbGyMRx99FKdOncKNGzcwMjICb29vpWPb2towMDAwaSMPoTZeZ2cnAMDKykphrqnCD0FnZycOHjyI6upqhZqLQoA11WOF0Gk84Zt/QWtrK4DJQ1dltRtvllQqFYO2np4eXL16FYWFhSgsLFQ6vqenBwCwefNm1NXVYe3atbC0tISrqyv8/Pzg5OSk8JiJnaolEgnU1dXF0Kq1tRUymUxhh5xAaC61cOFCbNq0CTk5OSgtLYWzszNWrFgBf39/uUDy66+/RmpqKpqamhSC0IGBAbmx4wnnhLLO2tbW1nLhmarnmTLC+yYEy6o4e/YsMjIy0NzcLNete3w4L5g3b57S+SZeZi+sg9AgR2Bubg5dXV2524TPSUdHB5YuXQoAKC4uRnZ2Ni5fvixX1kFZ2YSJxyR8xibOra2tDWNjY4WxEz9jN7MeykxVBzMiIgLOzs6QSqU4ffo0Pv30U6irK+4VCQ4OhqGhIXJzc9HU1ITa2lpkZWUhKCgIL774olwIO56qx0hERH+v69evo6amBsDY37vBwUGxvrOLiwusra2xYcMGxMTEIDQ0FA899BD++usvtLa2oqGhAe+++y6AsZIk3t7eiI+PR19fH8zMzJCXl4fu7m6Ehob+Y6/v/wkDTiIiIpq1/Pz8EB8fj+7ubri7uyvUwxOMjo7CxMQEb7/9ttL7J4Ynt2JkZASbNm1Cf38/wsLCYGNjA11dXXR1dSE2NnbKXVw3Qwhh3nzzTZiZmSncr6GhMaPnF/4pF7p5Csft7++PNWvWKH2Mvb09gLGu0OXl5fj8889x7tw5VFZWIi8vDxEREdi2bduU804MeEZHR6GmpoasrCylr2l82BYbG4s1a9agqqoKtbW1SExMRGZmJoqKijB37lz8+uuvePbZZ2FjY4PY2FjMmzcPWlpaqKmpwdGjR2/bezOT88zS0hKamppoaWlRaa7Gxka88MILePjhh7Fz506YmZlBS0sLJ0+exKlTpxTGT3ZeTHb7rTS9KSkpQWxsLLy8vBAaGgoTExNoaGggMzNT6a5MVedW5Zy+2fWYyMjISCFYHW/x4sViAyIvLy9cv34d8fHxcHJyUghqfXx84OPjg9TUVEilUkilUmRlZeHq1atISEiQGyuEtELpByIi+t9y5coVvPTSS3K3Cb8fP34cy5YtQ1xcHKytrVFYWIj09HTo6enB2tparnQOAOzbtw/vvPMOkpOTMTg4iCVLliAnJ0f8P4pmhgEnERERzVorV67Ezp070dTUhP379086TiKRoL6+Ho6OjpPuoAIg1shsbW0Va+MBYzsUp+uC3dLSgtbWViQlJeGpp54Sbx/f6X0q8+fPR1tbm8Ltly9flvtdOC4TExOVOz7fjIqKCty4cQNubm4AxkI5PT09jI6OqjSfrq4ufH194evri6GhIURGRuLQoUMIDw+Xa5jU1tYmt8ZtbW0YHR0Vd/pJJBLIZDIsWLBAYRerMvb29rC3t8fWrVtx8eJFrFu3Dvn5+Xj55ZdRXV2NoaEhZGRkyNVBVeVyfmG8Ku+NqueZMjo6OnjkkUdw/vx5/Pbbbwqh2UQVFRXQ1tbGkSNH5Gpenjx58qbmVdXvv/8OqVQqFywLu4mF2pUVFRVYuHCh2A1eoEpN1pma6XrY2NigsrJS5fmio6Nx5swZZGRkKISW4y1atAgBAQHo6upCRUWFwlhhx7Ktra3KcxMR0d9nwYIF+PHHH6cco6amho0bN4rldiajq6uLuLg4xMXF3c5DpP9iDU4iIiKatfT09LBr1y5ERkZixYoVk47z8fHByMiIeJnQeMPDw+LOrcceewxaWlrIzc2V20V27NixaY9FuFx1/ONkMplCN+rJeHh4oKmpSa5+ZU9PD0pLS+XGLV++HPr6+sjMzFTa2V24XPxW/PDDD9izZw8MDQ3FGpkaGhrw9vZGRUWF0t2F4+ebWEdwzpw5sLW1hUwmUzjWDz74QO733NxcAIC7uzuAsdqQGhoaSEtLU9jRJ5PJxLkGBwcxPDwsd//ixYuhrq4uXqYs7AAc/zwDAwMqhV/m5ua47777UFxcLFers7a2Fj/99JPcWFXPs8lERERAJpMhJiZG6aXq3333HYqLi8XXpKamhpGREfH+9vZ2VFVVTfuabsXw8LBciYKhoSEUFhbC2NhYrB2mbJ2//fZbNDU13ZFjGm+m67F06VL09/cr3WmqjEQiwRNPPIHi4mL88ccf4u2TfREyPDysNPS+dOkSDAwMxB3TREREdGu4g5OIiIhmtckumx7PxcUFQUFByMzMRHNzM1xdXaGlpYXW1laUl5dj+/btWLVqFYyNjfHcc88hMzMT4eHh8PDwwPfff48vvvhi2ktIbWxsIJFIkJSUhK6uLujr66OiomLaUEsQFhaGkpIShIWF4ZlnnoGOjg6Kioowf/58uZ0D+vr62LVrF2JiYhAQEABfX18YGxujs7MTNTU1cHR0xI4dO6adr7GxEX/++afYDObixYuorq6Gvr4+0tLS5C5/f/XVV9HQ0IDAwECsXbsWdnZ26O/vx6VLl1BfX48LFy4AAEJDQ2FqagpHR0eYmJjgl19+QW5uLjw8PBRqg7a3t2PLli1Yvnw5mpqa8Mknn8DPzw/33nsvgLEAKSoqCsnJyejo6ICXlxf09PTQ3t6OM2fOIDAwEKGhoTh//jwSEhKwatUqWFlZYWRkBCUlJWIwC0B8v7ds2YLg4GBcu3YNJ06cgImJiVw4NZlXXnkF4eHhWL9+PZ5++mn09fUhNzcXixYtglQqFcepep5NRnjvXn/9dfj4+GD16tWwtLTEtWvXcOHCBVRXVyMqKgrAWCCek5ODsLAw+Pn54cqVK8jLy4NEIpl2p8mtMDc3R1ZWFjo6OmBlZYXPPvsMzc3NeOONN8SusZ6enqisrERERAQ8PT3R3t6OgoIC2NnZya3TnTDT9fD09ISmpibq6urkmilNJTQ0FGVlZTh27Biio6MBAOvXr4eTkxPc3NzQ2dkpfrbOnTuHzZs3KzxHXV0dHn/8cdbgJCIimiEGnERERPSvkJCQgAceeAAFBQXYv38/NDQ0YGFhAX9/fzg6OorjoqKiMGfOHBQUFKChoQEPPvggsrOzER4ePuXza2lp4dChQ2L9R21tbaxcuRIbNmzA6tWrpz0+c3NzHD9+HImJiTh8+DCMjIwQHBwMc3NzbN++XW7sk08+CXNzcxw+fBhHjhzB0NAQ7rnnHjg7OyMgIECl9Xj//ffF4zYwMICtrS0iIyMRGBioUCvS1NQUJ06cQHp6Ok6fPo38/HwYGRnBzs5ODHYAICgoCKWlpcjJyYFUKsXcuXMREhKCrVu3KsyfkpKCAwcOIDk5GZqamti4cSNiYmLkxjz//POwsrLC0aNHkZ6eDmCsKY6rq6u4Y9fe3h5ubm44e/Ysurq6oKOjA3t7e2RlZYmNb2xsbHDw4EGkpKQgKSkJpqamWLduHYyNjfHaa69Nu1bu7u44cOAAUlJSkJycDIlEgr1796KqqkoMdwWqnmeTCQ4OhoODA7Kzs/Hxxx+jt7cXurq6uP/++7F37174+/sDGOvaunv3bmRlZWHPnj1YsGABoqOj0dHRcUcCTkNDQ+zbtw+JiYkoKiqCqakpduzYgcDAQHFMQEAAuru7UVhYiC+//BJ2dnZ46623UF5errBOt9tM18PU1BTu7u4oKytTOeB0cHCAi4sL8vPzER4eDgMDA2zbtg3FxcVITExEd3c31NXVYWFhgaioKISFhck9/ueff0ZLS4tK5yARERFNTU12KxXEiYiIiIhuQWpqKtLS0lBfX39bmjvRnRcSEoLe3l6VmvXMZo2NjQgJCUFZWZnYIX4mUlNTYWFhMemXDrt370ZjYyM++ugj7uAkIiKaIdbgJCIiIiKifz1nZ2e4urrivffeu+Nz9fb24sMPP0RUVBTDTSIiotuAl6gTEREREREBtzXcdHFxwV133aX0vrvvvhvffPPNbZuLiIjo344BJxERERER0W22bNmyf/oQiIiI/jVYg5OIiIiIiIiIiIhmLdbgJCIiIiIiIiIiolmLAScRERERERERERHNWgw4iYiIiIiIiIiIaNZiwElERERERERERESzFgNOIiIiIiIiIiIimrUYcBIREREREREREdGsxYCTiIiIiIiIiIiIZi0GnERERERERERERDRrMeAkIiIiIiIiIiKiWes/B+qG4FNXjeIAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Calcular a média das despesas por partido\n", + "despesa_por_partido = eleicao.groupby('SG_PARTIDO')['VR_DESPESA_MAX_CAMPANHA'].mean().sort_values(ascending=False).reset_index()\n", + "\n", + "# Plotar um gráfico de barras\n", + "plt.figure(figsize=(14, 8))\n", + "ax = sns.barplot(x='VR_DESPESA_MAX_CAMPANHA', y='SG_PARTIDO', data=despesa_por_partido)\n", + "\n", + "# Adicionar rótulos às barras\n", + "for index, value in enumerate(despesa_por_partido['VR_DESPESA_MAX_CAMPANHA']):\n", + " ax.text(value, index, f\"R${value:.2f}\", ha='left', va='center')\n", + "\n", + "plt.title('Média de Despesas de Campanha por Partido')\n", + "plt.xlabel('Média de Despesa de Campanha (R$)')\n", + "plt.ylabel('Partido')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "N9ZOg7-3QzKM", + "outputId": "770e4d54-a94d-421a-9e65-49e2f4b03cf1" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Estatística de Kruskal-Wallis: 4675.781057604523, p-valor: 0.0\n" + ] + } + ], + "source": [ + "#Teste de Kruskal-Wallis para testar se há diferenças nas medianas das despesas de campanha entre vários partidos.\n", + "grupos_partido = [grupo['VR_DESPESA_MAX_CAMPANHA'].values for nome, grupo in eleicao.groupby('SG_PARTIDO')]\n", + "estatistica_kw, p_valor_kw = kruskal(*grupos_partido)\n", + "\n", + "print(f'Estatística de Kruskal-Wallis: {estatistica_kw}, p-valor: {p_valor_kw}')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ldA9VCiTSL7C" + }, + "source": [ + "**Conclusão:**\n", + "Após analise podemos concluir que há uma diferença significativa nas despesas de campanha entre pelo menos dois partidos, conforme mostra o grafico de barras inclinadas acima. **HIPOTESE CONFIRMADA!** ✅" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "OMziFJhKcCUR" + }, + "source": [ + "- ***Correlação entre Idade e Despesas de Campanha***\n", + "\n", + "Hipótese: A idade dos candidatos está correlacionada com o valor das despesas de campanha.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": { + "id": "RRYOU3xkUDxE" + }, + "outputs": [], + "source": [ + "# Converter a coluna de data de nascimento para datetime\n", + "eleicao['DT_NASCIMENTO'] = pd.to_datetime(eleicao['DT_NASCIMENTO'], format='%d/%m/%Y', errors='coerce')\n", + "\n", + "# Aplicar a função para calcular a idade\n", + "eleicao['IDADE'] = eleicao['DT_NASCIMENTO'].apply(calcular_idade)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "0grbcJemdZAH", + "outputId": "bd9cb0c1-f854-46d1-dcab-302b601016b9" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A idade máxima na base de dados é de 96 anos.\n", + "A idade mínima na base de dados é de 11 anos.\n" + ] + } + ], + "source": [ + "# Idade Máxima e Mínima presente na base de Dados\n", + "idade_maxima = eleicao['IDADE'].max()\n", + "print(f'A idade máxima na base de dados é de {idade_maxima} anos.')\n", + "\n", + "idade_minima = eleicao['IDADE'].min()\n", + "print(f'A idade mínima na base de dados é de {idade_minima} anos.')" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 573 + }, + "id": "UpWqIHEeTpbV", + "outputId": "f6881dba-4ce0-4765-a06b-667bc777a3bc" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Gráfico de Dispersão\n", + "plt.figure(figsize=(10, 6))\n", + "sns.scatterplot(x='IDADE', y='VR_DESPESA_MAX_CAMPANHA', data=eleicao)\n", + "plt.title('Dispersão entre Idade e Despesas de Campanha')\n", + "plt.xlabel('Idade')\n", + "plt.ylabel('Despesas de Campanha')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "b-iPXWxIgKHi", + "outputId": "a1853aa8-6f6f-4354-c525-a6dbf5d2b007" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Coeficiente de Correlação de Pearson: 0.0162, P-Value: 0.0000\n" + ] + } + ], + "source": [ + "# Calcular a correlação de Pearson entre as variáveis\n", + "pearson_corr, pearson_p = stats.pearsonr(eleicao['IDADE'], eleicao['VR_DESPESA_MAX_CAMPANHA'])\n", + "\n", + "# Resultados\n", + "print(f\"Coeficiente de Correlação de Pearson: {pearson_corr:.4f}, P-Value: {pearson_p:.4f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "x7WFyC5xiHVp" + }, + "source": [ + "**Conclusão:**\n", + "O coeficiente de correlação de Pearson (0.0162) indica que há uma correlação linear positiva extremamente fraca entre as variáveis. No entanto, o p-valor extremamente baixo (0.0000) sugere que essa relação, apesar de ser fraca, é estatisticamente significativa e não ocorre por acaso. Portanto, você pode concluir que, embora exista uma correlação estatisticamente significativa, ela é tão pequena que não tem um impacto prático ou significativo. **HIPOTESE REFULTADA!** ❌" + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [ + "-k6Z_s39lt5h", + "0JIfS5fZlvCa", + "uQQZJuWvvrDs" + ], + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.12.5" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git "a/Carolyne-Oliveira/Graficos/gr\303\241fico de barras Distribuicao de genero.png" "b/Carolyne-Oliveira/Graficos/gr\303\241fico de barras Distribuicao de genero.png" new file mode 100644 index 0000000..9cda983 Binary files /dev/null and "b/Carolyne-Oliveira/Graficos/gr\303\241fico de barras Distribuicao de genero.png" differ diff --git "a/Carolyne-Oliveira/Graficos/gr\303\241fico de barras inclinadas, escolaridade.png" "b/Carolyne-Oliveira/Graficos/gr\303\241fico de barras inclinadas, escolaridade.png" new file mode 100644 index 0000000..64f5196 Binary files /dev/null and "b/Carolyne-Oliveira/Graficos/gr\303\241fico de barras inclinadas, escolaridade.png" differ diff --git "a/Carolyne-Oliveira/Graficos/gr\303\241fico de barras inclinadas, raca e cor.png" "b/Carolyne-Oliveira/Graficos/gr\303\241fico de barras inclinadas, raca e cor.png" new file mode 100644 index 0000000..8a9aadc Binary files /dev/null and "b/Carolyne-Oliveira/Graficos/gr\303\241fico de barras inclinadas, raca e cor.png" differ diff --git "a/Carolyne-Oliveira/Graficos/gr\303\241fico de barras inclinadas.png" "b/Carolyne-Oliveira/Graficos/gr\303\241fico de barras inclinadas.png" new file mode 100644 index 0000000..5f5818f Binary files /dev/null and "b/Carolyne-Oliveira/Graficos/gr\303\241fico de barras inclinadas.png" differ diff --git "a/Carolyne-Oliveira/Graficos/gr\303\241fico de histograma idades.png" "b/Carolyne-Oliveira/Graficos/gr\303\241fico de histograma idades.png" new file mode 100644 index 0000000..720d3e0 Binary files /dev/null and "b/Carolyne-Oliveira/Graficos/gr\303\241fico de histograma idades.png" differ diff --git "a/Carolyne-Oliveira/Graficos/gr\303\241fico de pizza.png" "b/Carolyne-Oliveira/Graficos/gr\303\241fico de pizza.png" new file mode 100644 index 0000000..a0effe5 Binary files /dev/null and "b/Carolyne-Oliveira/Graficos/gr\303\241fico de pizza.png" differ diff --git a/Carolyne-Oliveira/README.md b/Carolyne-Oliveira/README.md new file mode 100644 index 0000000..7338ec6 --- /dev/null +++ b/Carolyne-Oliveira/README.md @@ -0,0 +1,325 @@ +# 🗳️👍🏻✅ Projeto Guiado II - Eleicoes SP 2024 + +## 📚 Descrição da Atividade + +Exercicio da semana 13 para casa. Utilize o dataset proposto em aula ou selecione um de sua preferência no Kaggle. Faça uma introdução explicando os dados e o motivo da escolha do dataset. Explique o que chamou sua atenção nesses dados e por que você acredita que eles podem gerar bons insights. Quais aspectos relevantes você identificou? + +## 📈 Introdução + +As bases de dados escolhidas foram obtidas no site do Tribunal Superior Eleitoral ([TSE](https://dadosabertos.tse.jus.br/dataset/candidatos-2024)), e são referentes às eleições de 2024 para os cargos de prefeito, vice-prefeito e vereador de São Paulo. A escolha desse dataset foi motivada pelo atual cenário político brasileiro, marcado por incertezas e debates sobre o futuro político e administrativo do estado de São Paulo. Analisar esses dados é crucial, pois as eleições municipais têm um impacto direto nas políticas públicas que afetam a vida dos cidadãos, e entender os padrões e tendências pode fornecer insights valiosos para prever possíveis desdobramentos e influências no cenário político local. + +O que chamou a atenção nesses dados foi a riqueza de detalhes disponíveis, como informações sobre candidaturas, despesas de campanha, distribuição por gênero, idade, e partido. Esses aspectos são fundamentais para entender melhor o perfil dos candidatos, as estratégias eleitorais adotadas e como esses fatores podem influenciar os resultados eleitorais. Acredita-se que essa análise pode gerar bons insights, como identificar tendências de investimento em campanhas, padrões de participação feminina nas eleições, e a relação entre gasto de campanha e sucesso eleitoral. + +## 📋 Passo a Passo + +## 🟦 Instalação de Bibliotecas: + + ### - Bibliotecas Utilizadas: + + import pandas as pd + import matplotlib.pyplot as plt + from datetime import datetime + import seaborn as sns + import sqlite3 + from google.colab import files + import numpy as np + import plotly.express as px + from scipy import stats + from scipy.stats import f_oneway + import statsmodels.stats.multicomp as mc + from scipy.stats import kruskal + +## 🟦 Escolha do Dataset: + + ### - Abrir arquivo csv + ### - Substituir ";" + ### - 'on_bad_lines' indica o que fazer em linhas com erros e 'skip' irá pular linhas que causam erros: + + candidato = pd.read_csv('/content/drive/MyDrive/ + REPROGRAMA/on33-python-s13-projeto-guiado-II/ + Projeto Guiado/consulta_cand_2024/consulta_cand_2024_SP.csv', + encoding='ISO-8859-1', sep=';', on_bad_lines='skip') + + ### - Abrir arquivo csv + ### - Substituir ";" + ### - 'on_bad_lines' indica o que fazer em linhas com erros e 'skip' irá pular linhas que causam erros: + + complemento = pd.read_csv('/content/drive/MyDrive/ + REPROGRAMA/on33-python-s13-projeto-guiado-II/ + Projeto Guiado/consulta_cand_complementar_2024/consulta_cand_complementar_2024_SP.csv', + encoding='ISO-8859-1', sep=';', on_bad_lines='skip') + + ### - Verificar as colunas na base de dados: + + candidato.columns + + ### - verificar as 5 primeiras linhas da base de dados candidatos: + + candidato.head() + + ### - Verificar nulos na base candidato: + + candidato.isnull().sum() + + ### - Quantidade de linhas: + + candidato.shape + + ### - Informacao dos dados: + + candidato.info() + + ### - Criar um novo DataFrame com as colunas selecionadas: + ### - Lista das colunas que você deseja selecionar: + + colunas_selecionadas = [ + 'SG_UF', 'SG_UE', 'NM_UE', 'CD_CARGO', 'DS_CARGO', 'SQ_CANDIDATO', + 'NR_CANDIDATO', 'NM_CANDIDATO', 'NM_URNA_CANDIDATO', 'NM_SOCIAL_CANDIDATO', + 'NR_PARTIDO', 'SG_PARTIDO', 'NM_PARTIDO', 'SG_UF_NASCIMENTO', + 'DT_NASCIMENTO', 'CD_GENERO', 'DS_GENERO', 'CD_GRAU_INSTRUCAO', + 'DS_GRAU_INSTRUCAO', 'CD_ESTADO_CIVIL', 'DS_ESTADO_CIVIL', + 'CD_COR_RACA', 'DS_COR_RACA', 'CD_OCUPACAO', 'DS_OCUPACAO' + ] + + ### - Selecionando as colunas do DataFrame 'candidatos': + + candidatos = candidato[colunas_selecionadas] + + ### - Exibir o DataFrame selecionado: + + print(candidatos)' + + ### - Salvar copia da base: + + candidato_backup = candidatos.copy() + + ### - Renomear a coluna duplicada no DataFrame 'candidatos' e 'complementos': + + candidatos = candidatos.rename(columns={'SQ_CANDIDATO': 'SQ_CANDIDATO_Candidato'}) + complementos = complementos.rename(columns={'SQ_CANDIDATO': 'SQ_CANDIDATO_Complemento'}) + +## 🟦 Consultas SQL: + + ### - Conexão com SQLite em memória: + + conn = sqlite3.connect(':memory:') + + ### - Salvar os DataFrames como tabelas SQLite: + + candidatos.to_sql('candidato', conn, index=False) + complementos.to_sql('complemento', conn, index=False) + + ### - Realizar o JOIN com as colunas renomeadas + + eleicao = pd.read_sql_query + ('SELECT * FROM candidato JOIN complemento ON + candidato.SQ_CANDIDATO_Candidato = complemento.SQ_CANDIDATO_Complemento', conn) + + ### - Fechar a conexão: + + conn.close() + + ### - Exibir o resultado: + + print(eleicao) + + ### - Verificar nulos na base de dados complemento: + + eleicao.isnull().sum() + + ### - Salvar no csv: + + eleicao.to_csv('candidatosSP.csv', index=False) + + ### - Baixar arquivo csv: + + files.download('candidatosSP.csv'): + +## 🟦 Visualizações Gráficas: + + ### 1️⃣ Distribuição de Gênero: Analisar a proporção de candidatos por gênero. + + ### Configurações para gráficos + + sns.set(style="whitegrid") + plt.figure(figsize=(8, 6)) + + ### Distribuição de Gênero + + ax = sns.countplot(x='DS_GENERO', data=eleicao, palette='Set2', hue='DS_GENERO') + plt.title('Distribuição de Gênero') + plt.xlabel('Gênero') + plt.ylabel('Número de Candidatos') + + ### Adicionar rótulos às barras + + for index, value in enumerate(df['DS_GENERO'].value_counts()): + plt.text(index, value, str(value), ha='center', va='bottom') + + ### Mostrar o gráfico + + plt.show() + +![gráfico](https://github.com/CarolyneS14/on33-python-s13-projeto-guiado-II/blob/main/Carolyne-Oliveira/Graficos/gr%C3%A1fico%20de%20barras%20Distribuicao%20de%20genero.png) + + ### 2️⃣ Idade dos Candidatos: Distribuição de idade dos candidatos. + + ### Configurações para gráficos + + sns.set(style="whitegrid") + plt.figure(figsize=(12, 6)) + + ### Converter a coluna DT_NASCIMENTO para o formato de data + + eleicao['DT_NASCIMENTO'] = pd.to_datetime(eleicao['DT_NASCIMENTO'], format='%d/%m/%Y') + + ### Função para calcular a idade + + def calcular_idade(data_nascimento): + hoje = datetime.today() + idade = hoje.year - data_nascimento.year - ((hoje.month, hoje.day) + < (data_nascimento.month, data_nascimento.day)) + return idade + + ### Aplicar a função para calcular a idade + + df['IDADE'] = eleicao['DT_NASCIMENTO'].apply(calcular_idade) + + ### Criar o gráfico de distribuição de idades - histograma + + sns.histplot(df['IDADE'], bins=30, kde=True, color='b') + + plt.title('Distribuição de Idades dos Candidatos') + plt.xlabel('Idade') + plt.ylabel('Número de Candidatos') + + ### Mostrar o gráfico + + plt.show() + +![gráfico](https://github.com/CarolyneS14/on33-python-s13-projeto-guiado-II/blob/main/Carolyne-Oliveira/Graficos/gr%C3%A1fico%20de%20histograma%20idades.png) + + ### 3️⃣ Comparação por Escolaridade: Comparar os candidatos com diferentes níveis de escolaridade. + + ### Configurações para gráficos + + sns.set(style="whitegrid") + plt.figure(figsize=(12, 8)) + + ### Contar o número de candidatos por nível de escolaridade + + escolaridade_count = eleicao['DS_GRAU_INSTRUCAO'].value_counts() + + ### Criar o DataFrame para o gráfico + + df_escolaridade = escolaridade_count.reset_index() + df_escolaridade.columns = ['Grau de Instrução', 'Número de Candidatos'] + + ### Criar o gráfico de barras + + ax = sns.barplot(x='Número de Candidatos', + y='Grau de Instrução', data=df_escolaridade, + hue='Grau de Instrução', dodge=False, palette='viridis', legend=False) + + plt.title('Número de Candidatos por Nível de Escolaridade') + plt.xlabel('Número de Candidatos') + plt.ylabel('Grau de Instrução') + + ### Adicionar rótulos às barras + + for index, row in df_escolaridade.iterrows(): + ax.annotate(f"{row['Número de Candidatos']}", + xy=(row['Número de Candidatos'], index), ha='left', va='center') + + ### Mostrar o gráfico + + plt.show() + +![gráfico](https://github.com/CarolyneS14/on33-python-s13-projeto-guiado-II/blob/main/Carolyne-Oliveira/Graficos/gr%C3%A1fico%20de%20barras%20inclinadas%2C%20escolaridade.png) + + ### 4️⃣ Diversidade Racial: Analisar a distribuição de candidatos por raça/cor. + + ### Contar o número de candidatos por raça/cor + + cor_raca_count = eleicao['DS_COR_RACA'].value_counts() + + ### Criar o DataFrame para o gráfico + + df_cor_raca = cor_raca_count.reset_index() + df_cor_raca.columns = ['Cor/Raça', 'Número de Candidatos'] + + ### Criar o gráfico de barras com a plotly + + fig = px.bar(df_cor_raca, x='Número de Candidatos', y='Cor/Raça', + color='Cor/Raça', title='Número de Candidatos por Cor/Raça') + fig.update_layout(xaxis_title='Número de Candidatos', yaxis_title='Cor/Raça') + + ### Mostrar o gráfico + + fig.show() + +![gráfico](https://github.com/CarolyneS14/on33-python-s13-projeto-guiado-II/blob/main/Carolyne-Oliveira/Graficos/gr%C3%A1fico%20de%20barras%20inclinadas%2C%20raca%20e%20cor.png) + +## 🟦 Hipóteses: + +## Hipótese 1: Ocupações/Profissoes diferentes estão associadas a médias diferentes de despesas de campanha. + + ### - Calcular a média das despesas por ocupação + + despesa_por_ocupacao = eleicao.groupby('DS_OCUPACAO') + ['VR_DESPESA_MAX_CAMPANHA'].mean().sort_values(ascending=False).head(15) + + ### - Plotar um gráfico de barras + + plt.figure(figsize=(14, 8)) + ax = sns.barplot(x=despesa_por_ocupacao.values, + y=despesa_por_ocupacao.index, hue=despesa_por_ocupacao.index, + palette='viridis', dodge=False, legend=False) + + ### - Adicionar rótulos às barras + + for index, value in enumerate(despesa_por_ocupacao.values): + ax.text(value, index, f"R${value:.2f}", ha='left', va='center') + + plt.title('Média de Despesas de Campanha por Ocupação (Top 15)') + plt.xlabel('Média de Despesa de Campanha (R$)') + plt.ylabel('Ocupação') + + ### - Mostrar o gráfico + + plt.show() + +## ✅ HIPOTESE CONFIRMADA! Após analise podemos concluir que é muito provável que as ocupações estejam associadas a diferentes médias de despesas de campanha, confirmando que há uma relação significativa entre a ocupação e as despesas de campanha dos candidatos. + +![gráfico](https://github.com/CarolyneS14/on33-python-s13-projeto-guiado-II/blob/main/Carolyne-Oliveira/Graficos/gr%C3%A1fico%20de%20barras%20inclinadas.png) + +## Hipótese 2: A média das despesas de campanha é diferente entre gêneros. + + ### - Filtrar os dados por gênero + + genero_feminino = df[eleicao['DS_GENERO'] == 'Feminino']['VR_DESPESA_MAX_CAMPANHA'] + genero_masculino = df[eleicao['DS_GENERO'] == 'Masculino']['VR_DESPESA_MAX_CAMPANHA'] + + ### - Teste t para amostras independentes + + t_stat, p_value = stats.ttest_ind(genero_feminino, genero_masculino, equal_var=False) + + ### - Resultados + + f'Estatística t: {t_stat:.4f}' + f'P-Value: {p_value:.4f}' + + ### - Interpretação + + alpha = 0.05 + if p_value < alpha: + print("Há uma diferença significativa nas despesas de campanha entre gêneros.") + else: + print("Não há uma diferença significativa nas despesas de campanha entre gêneros.") + +## ❌ HIPOTESE REFULTADA! Após analise podemos concluir que não há uma diferença significativa nas despesas de campanha entre os gêneros masculino e feminino, sendo essa diferenca de apenas 4,8% conforme mostra o gráfico de pizza! + +![gráfico](https://github.com/CarolyneS14/on33-python-s13-projeto-guiado-II/blob/main/Carolyne-Oliveira/Graficos/gr%C3%A1fico%20de%20pizza.png) + +## 👩🏻‍🏫 Professora Stefany Gracy. +Professora [Stefany Gracy](https://github.com/Stesilva16 "Stefany Gracy")