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diff --git a/exercicios/para-casa/db_table_visualization.ipynb b/exercicios/para-casa/db_table_visualization.ipynb
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+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import sqlite3\n",
+ "import csv\n",
+ "\n",
+ "#CTRL P"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "connection = sqlite3.connect(\"index_inequalidade_genero_mundial.db\")\n",
+ "cursor = connection.cursor()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open(\"./raw_data/Gender_Inequality_Index.csv\", encoding='UTF-8') as file:\n",
+ " data = csv.reader(file)\n",
+ " next(data)\n",
+ " cursor.execute('''CREATE TABLE IF NOT EXISTS inequalidade_genero_mundial (\n",
+ " Country TEXT,\n",
+ " Human_development TEXT,\n",
+ " GII INT,\n",
+ " Rank REAL,\n",
+ " Maternal_mortality INT,\n",
+ " Adolescent_birth_rate REAL,\n",
+ " Seats_parliament REAL,\n",
+ " F_secondary_educ REAL,\n",
+ " M_secondary_educ REAL,\n",
+ " F_Labour_force REAL,\n",
+ " M_Labour_force REAL\n",
+ " )''')\n",
+ " inserir_conteudo = \"INSERT INTO inequalidade_genero_mundial (Country, Human_development, GII, Rank, Maternal_mortality, Adolescent_birth_rate, Seats_parliament, F_secondary_educ, M_secondary_educ, F_Labour_force, M_Labour_force) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\"\n",
+ "\n",
+ " for row in data:\n",
+ " cursor.execute(inserir_conteudo, row)\n",
+ "\n",
+ "# insert delimiter=\";\" as a file attribute in case the .csv has ; instead of , separating the rows"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "connection.commit()\n",
+ "connection.close()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/exercicios/para-casa/exercicio_s13.ipynb b/exercicios/para-casa/exercicio_s13.ipynb
new file mode 100644
index 0000000..b728ca0
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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ " \n",
+ "
Descrição: \n",
+ "Este projeto visa analisar um dataset e compilar informações detalhadas sobre o Índice de Desigualdade de Gênero (Gender Inequality Index - GII) em todo mundo. O GII é uma métrica ampla que avalia as disparidades de gênero em áreas críticas, incluindo saúde, educação e oportunidade econômica.
\n",
+ "Este banco de dados inclui os seguintes indicadores:
\n",
+ "Country: o pais ao qual os dados se referem. \n",
+ "Human Development: o nível de desenvolvimento humano do país. \n",
+ "GII: a pontuação do Índice de Desigualdade de Gênero. \n",
+ "Rank: a posição do país no ranking global de desigualdade de gênero. \n",
+ "Maternal Mortality: a taxa de mortalidade materna, que funciona como indicador crítico de saúde feminina. Foi calculado um ratio de mortes por 100,000 nascimentos. \n",
+ "Adolescent Birth Rate: a taxa de natalidade na adolescência, fator que afeta saúde, oportunidades econômicas e reflete na educação. \n",
+ "Seats in Parliament: a representação feminina no parlamento em porcentagem, um fator de igualdade política. \n",
+ "Female Secondary Education: a participação feminina no ensino médio. Em porcentagem e incluído apenas mulheres de 25 anos e mais velhas. \n",
+ "Male Secondary Education: a participação masculina no ensino médio. Em porcentagem e incluído apenas homens de 25 anos e mais velhos. \n",
+ "Female Labor Force Participation: a participação feminina no mercado de trabalho. Em porcentagem, incluso idades de 15 para cima. \n",
+ "Male Labor Force Participation: a participação masculina no mercado de trabalho.Em porcentagem, incluso idades de 15 para cima. \n",
+ "\n",
+ "Objetivos do projeto: \n",
+ "Traduzir os dados para aumentar a sua acessibilidade. \n",
+ "Limpar os dados do dataset para facilitar a consulta. \n",
+ "Facilitar a criação de insights através de visualizações com o Pandas e MatPlotLib . \n",
+ "Avaliar a disparidade de gênero em áreas críticas (saúde, educação e oportunidades econômicas) a nível global. \n",
+ "\n",
+ "Fonte de dados: \n",
+ "Os dados utilizados foram obtidos através do Kaggle e fazem parte do conjunto de dados públicos do GII. É possível encontrar informações detalhadas sobre o conjunto de dados aqui .
\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Importando os pacotes necessários\n",
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Importando o arquivo Gender_Inequality_Index.csv para um dataframe\n",
+ "df = pd.read_csv(\"./raw_data/Gender_Inequality_Index.csv\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Limpeza dos dados: "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " Country \n",
+ " Human_development \n",
+ " GII \n",
+ " Rank \n",
+ " Maternal_mortality \n",
+ " Adolescent_birth_rate \n",
+ " Seats_parliament \n",
+ " F_secondary_educ \n",
+ " M_secondary_educ \n",
+ " F_Labour_force \n",
+ " M_Labour_force \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 \n",
+ " Switzerland \n",
+ " Very high \n",
+ " 0.018 \n",
+ " 3.0 \n",
+ " 5.0 \n",
+ " 2.2 \n",
+ " 39.8 \n",
+ " 96.9 \n",
+ " 97.5 \n",
+ " 61.7 \n",
+ " 72.7 \n",
+ " \n",
+ " \n",
+ " 1 \n",
+ " Norway \n",
+ " Very high \n",
+ " 0.016 \n",
+ " 2.0 \n",
+ " 2.0 \n",
+ " 2.3 \n",
+ " 45.0 \n",
+ " 99.1 \n",
+ " 99.3 \n",
+ " 60.3 \n",
+ " 72.0 \n",
+ " \n",
+ " \n",
+ " 2 \n",
+ " Iceland \n",
+ " Very high \n",
+ " 0.043 \n",
+ " 8.0 \n",
+ " 4.0 \n",
+ " 5.4 \n",
+ " 47.6 \n",
+ " 99.8 \n",
+ " 99.7 \n",
+ " 61.7 \n",
+ " 70.5 \n",
+ " \n",
+ " \n",
+ " 3 \n",
+ " Hong Kong \n",
+ " Very high \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " 1.6 \n",
+ " NaN \n",
+ " 77.1 \n",
+ " 83.4 \n",
+ " 53.5 \n",
+ " 65.8 \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " Australia \n",
+ " Very high \n",
+ " 0.073 \n",
+ " 19.0 \n",
+ " 6.0 \n",
+ " 8.1 \n",
+ " 37.9 \n",
+ " 94.6 \n",
+ " 94.4 \n",
+ " 61.1 \n",
+ " 70.5 \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Country Human_development GII Rank Maternal_mortality \\\n",
+ "0 Switzerland Very high 0.018 3.0 5.0 \n",
+ "1 Norway Very high 0.016 2.0 2.0 \n",
+ "2 Iceland Very high 0.043 8.0 4.0 \n",
+ "3 Hong Kong Very high NaN NaN NaN \n",
+ "4 Australia Very high 0.073 19.0 6.0 \n",
+ "\n",
+ " Adolescent_birth_rate Seats_parliament F_secondary_educ \\\n",
+ "0 2.2 39.8 96.9 \n",
+ "1 2.3 45.0 99.1 \n",
+ "2 5.4 47.6 99.8 \n",
+ "3 1.6 NaN 77.1 \n",
+ "4 8.1 37.9 94.6 \n",
+ "\n",
+ " M_secondary_educ F_Labour_force M_Labour_force \n",
+ "0 97.5 61.7 72.7 \n",
+ "1 99.3 60.3 72.0 \n",
+ "2 99.7 61.7 70.5 \n",
+ "3 83.4 53.5 65.8 \n",
+ "4 94.4 61.1 70.5 "
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Visualizando o início do dataframe\n",
+ "df.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "A primeira etapa ao lidar com um conjunto de dados é a compreensão de sua estrutura e conteúdo.
\n",
+ "Ao exibir as primeiras linhas do DataFrame, já é possível identificar que os dados estão em inglês e alguns de seus valores estão nulos. Sendo assim, a proxima ação limpar os dados nulos para garantir que apenas informações válidas estejam presentes nas colunas e, após isto, traduzir as colunas e campos.
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Removendo todas as linhas com NaN como valor em qualquer coluna \n",
+ "df = df.dropna()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Tradução das colunas\n",
+ "df = df.rename(columns={\n",
+ "'Country':'País',\n",
+ "'Human_development': 'Desenvolvimento Humano',\n",
+ "'GII': 'IDG',\n",
+ "'Maternal_mortality': 'Mortalidade Materna',\n",
+ "'Adolescent_birth_rate': 'Taxa de Gravidez na Adolescência',\n",
+ "'Seats_parliament': '% Assentos Femininos no Parlamento',\n",
+ "'F_secondary_educ': '% Mulheres com Educação Secundária',\n",
+ "'M_secondary_educ': '% Homens com Educação Secundária',\n",
+ "'F_Labour_force': '% Mulheres no Mercado de Trabalho',\n",
+ "'M_Labour_force': '% Homens no Mercado de Trabalho'\n",
+ "})"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Tradução dos campos\n",
+ "paises_traducao = {'Switzerland': 'Suiça', 'Norway': 'Noruega','Iceland': 'Islândia','Australia': 'Austrália','Denmark': 'Dinamarca','Sweden': 'Suécia','Ireland': 'Irlanda','Germany': 'Alemanha','Netherlands': 'Países Baixos','Finland': 'Finlândia','Luxembourg': 'Luxemburgo','United Kingdom': 'Reino Unido','Japan': 'Japão','South Korea': 'Coreia do Sul','Slovenia': 'Eslovênia','Austria': 'Áustria','Spain': 'Espanha','France': 'França','Italy': 'Itália','Estonia': 'Estônia','Czechia': 'Chéquia','Greece': 'Grécia','Poland': 'Polônia','Lithuania': 'Lituânia','Portugal': 'Portugal','Latvia': 'Letônia','Croatia': 'Croácia','Chile': 'Chile','Slovakia': 'Eslováquia','Hungary': 'Hungria','Russia': 'Rússia','Romania': 'Romênia','Bahrain': 'Bahrein','Malta': 'Malta','Argentina': 'Argentina','Turkey': 'Turquia','Montenegro': 'Montenegro','Brunei Darussalam': 'Brunei','Kazakhstan': 'Cazaquistão','Trinidad and Tobago': 'Trinidad e Tobago','Costa Rica': 'Costa Rica','Uruguay': 'Uruguai','Belarus': 'Bielorrússia','Panama': 'Panamá','Malaysia': 'Malásia','Georgia': 'Geórgia','Mauritius': 'Maurícia','Serbia': 'Sérvia','Thailand': 'Tailândia','Albania': 'Albânia','Bulgaria': 'Bulgária','Barbados': 'Barbados','Sri Lanka': 'Sri Lanka','Bosnia and Herzegovina': 'Bósnia e Herzegovina','Iran': 'Irã','Ukraine': 'Ucrânia','North Macedonia': 'Macedônia do Norte','China': 'China','Dominican Republic': 'República Dominicana','Moldova': 'Moldávia','Cuba': 'Cuba','Peru': 'Peru','Armenia': 'Armênia','Mexico': 'México','Brazil': 'Brasil','Colombia': 'Colômbia','Saint Vincent and the Grenadines': 'São Vicente e Granadinas','Maldives': 'Maldivas','Algeria': 'Argélia','Azerbaijan': 'Azerbaijão','Turkmenistan': 'Turcomenistão','Ecuador': 'Equador','Mongolia': 'Mongólia','Egypt': 'Egito','Tunisia': 'Tunísia','Fiji': 'Fiji','Suriname': 'Suriname','Uzbekistan': 'Uzbequistão','Jordan': 'Jordânia','Libya': 'Líbia','Paraguay': 'Paraguai',\"Côte d'Ivoire\": 'Costa do Marfim','Tanzania': 'Tanzânia','Pakistan': 'Paquistão','Togo': 'Togo','Haiti': 'Haiti','Nigeria': 'Nigéria','Rwanda': 'Ruanda','Benin': 'Benin','Uganda': 'Uganda','Lesotho': 'Lesoto','Senegal': 'Senegal','Sudan': 'Sudão','Madagascar': 'Madagáscar','Gambia': 'Gâmbia','Ethiopia': 'Etiópia','Guinea-Bissau': 'Guiné-Bissau','Liberia': 'Libéria','Central African Republic': 'República Centro-Africana','Niger': 'Níger','Chad': 'Chade','South Sudan': 'Sudão do Sul','Sierra Leone': 'Serra Leoa','Guinea': 'Guiné','Mozambique': 'Moçambique','Mali': 'Mali','Burundi': 'Burundi','Afghanistan': 'Afeganistão'}\n",
+ "\n",
+ "df['País'] = df['País'].replace(paises_traducao)\n",
+ "\n",
+ "desenvolv_traducao = {'Very high': 'Muito alto','High': 'Alto', 'Medium': 'Médio', 'Low': 'Baixo'}\n",
+ "\n",
+ "df['Desenvolvimento Humano'] = df['Desenvolvimento Humano'].replace(desenvolv_traducao)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Análise dos dados: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Como divulgado anteriormente, esse DataFrame possui diversos dados interessantes para recolher insights. Iremos responder algumas perguntas através da análise de dados utilizando as bibliotecas Panda e Numpy a seguir.
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Quais são os países com maior e menor desigualdade de gênero? "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "País com o maior Índice de Desigualdade de Gênero: Yemen (IDG: 0.82)\n"
+ ]
+ }
+ ],
+ "source": [
+ "pais_maior_idg= df.loc[df['IDG'].idxmax()]['País']\n",
+ "maior_idg = df['IDG'].max()\n",
+ "print(f\"País com o maior Índice de Desigualdade de Gênero: {pais_maior_idg} (IDG: {maior_idg})\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "País com o menor Índice de Desigualdade de Gênero: Dinamarca (IDG: 0.013)\n"
+ ]
+ }
+ ],
+ "source": [
+ "pais_menor_idg= df.loc[df['IDG'].idxmin()]['País']\n",
+ "menor_idg = df['IDG'].min()\n",
+ "print(f\"País com o menor Índice de Desigualdade de Gênero: {pais_menor_idg} (IDG: {menor_idg})\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Quais são os países onde há maior porcentagem de mulheres no Parlamento? "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "País com o maior número de mulheres no parlamento: Ruanda (Porcentagem: 55.7%)\n"
+ ]
+ }
+ ],
+ "source": [
+ "pais_maior_assentos= df.loc[df['% Assentos Femininos no Parlamento'].idxmax()]['País']\n",
+ "maior_assentos = df['% Assentos Femininos no Parlamento'].max()\n",
+ "print(f\"País com o maior número de mulheres no parlamento: {pais_maior_assentos} (Porcentagem: {maior_assentos}%)\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Como o Brasil se compara? "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "O Brasil tem 14.8% de mulheres no parlamento e um Índice de Desigualdade de Gênero de 0.39.\n"
+ ]
+ }
+ ],
+ "source": [
+ "brasil_data = df[df['País'] == 'Brasil']\n",
+ "brasil_assentos = brasil_data['% Assentos Femininos no Parlamento'].values[0]\n",
+ "brasil_idg = brasil_data['IDG'].values[0]\n",
+ "print(f\"O Brasil tem {brasil_assentos}% de mulheres no parlamento e um Índice de Desigualdade de Gênero de {brasil_idg}.\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Qual a média do Índice de Desigualdade de Gênero? "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Ao criar uma média, podemos comparar os países e entender se estão acima ou abaixo da média mundial.
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Média do Índice de Desigualgade de Gênero: 0.34\n"
+ ]
+ }
+ ],
+ "source": [
+ "media_idg = df['IDG'].mean()\n",
+ "print(f\"Média do Índice de Desigualgade de Gênero: {media_idg:.2f}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Visualização de dados: "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Através da biblioteca MatPlotLib podemos trazer algumas observações interessantes de forma visual e contribuir para a criação de novos insights. É o que faremos a seguir:
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Há correlação entre IDG e Índice de Desenvolvimento Humano? "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "desenvolvimento = df['Desenvolvimento Humano']\n",
+ "idg = df['IDG']\n",
+ "paises = df['País']\n",
+ "\n",
+ "plt.figure(figsize=(8, 6)) #Essas linhas significam que a largura do gráfico será de 8in e a altura será de 6in.\n",
+ "\n",
+ "plt.scatter(desenvolvimento, idg, c='green', alpha=0.6) #c= color, alpha= transparência. Nesse caso, eu experimentei um pouco e descobri que é bom deixar um poucio transparente pra conseguir ver os pontos sobressalentes \n",
+ "plt.xlabel('Desenvolvimento Humano')\n",
+ "plt.ylabel('Índice de Desigualdade de Gênero')\n",
+ "plt.title('Relação entre IDG e Desenvolvimento Humano')\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Como se dá a distribuição mundial do Índice de Desigualdade de Gênero? "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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CKwAAACyD8AoAAADLILwCAADAMgivAAAAsAyPhtd169apU6dOioiIkM1m07Jly3L0SUxMVOfOnRUSEqLixYurYcOGSk5Odn+xAAAA8DiPhtdz586pbt26mjlzZq7v79+/X82bN1dMTIzWrl2rH3/8UaNHj5a/v7+bKwUAAEBRYDPGGE8XIUk2m01Lly5V165d7W09e/ZUsWLF9N577xX4uGlpaQoJCVFqaqqCg4MLoVIAAAAUJmfymo+banJadna2vvjiCz3zzDNq27attm/frkqVKikuLs4h4F4rMzNTmZmZ9u20tDQ3VAsA7pWcnKyUlBS3jRcWFqaoqCi3jQcAeSmy4fXUqVNKT0/XSy+9pBdffFGTJ0/W8uXL1b17d61Zs0atWrXKdb9JkyZp3Lhxbq4WANwnOTlZ1WNilHH+vNvGDAwIUOLu3QRYAB5XZMNrdna2JKlLly566qmnJEn16tXThg0bNGvWrDzDa1xcnIYPH27fTktLU2RkpOsLBgA3SUlJUcb585rdvbuqhoW5fLw9KSkatGSJUlJSCK8APK7IhtewsDD5+PioRo0aDu3Vq1fX+vXr89zPz89Pfn5+ri4PADyualiY6kVEeLoMAHCrIvucV19fXzVs2FBJSUkO7Xv27FF0dLSHqgIAAIAnefTKa3p6uvbt22ffPnjwoBISElSqVClFRUVpxIgRevDBB9WyZUvdfffdWr58uT777DOtXbvWc0UDAADAYzwaXrds2aK7777bvn1lrWr//v0VHx+vbt26adasWZo0aZKGDBmiatWq6eOPP1bz5s09VTIAAAA8yKPhNTY2Vjd6zOwjjzyiRx55xE0VAQAAoCgrsmteAQAAgGsRXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAluHR8Lpu3Tp16tRJERERstlsWrZsWZ59//GPf8hms2nGjBluqw8AAABFi0fD67lz51S3bl3NnDnzuv2WLl2q77//XhEREW6qDAAAAEWRjycHb9eundq1a3fdPkePHtWTTz6pr7/+Wh06dHBTZQAAACiKPBpebyQ7O1sPPfSQRowYoZo1a+Zrn8zMTGVmZtq309LSXFVekZGcnKyUlBS3jhkWFqaoqCi3jgkAAFCkw+vkyZPl4+OjIUOG5HufSZMmady4cS6sqmhJTk5W9ZgYZZw/79ZxAwMClLh7NwEWAAC4VZENr1u3btUrr7yibdu2yWaz5Xu/uLg4DR8+3L6dlpamyMhIV5RYJKSkpCjj/HnN7t5dVcPC3DLmnpQUDVqyRCkpKYRXAADgVkU2vH777bc6deqUQzjKysrSv/71L82YMUOHDh3KdT8/Pz/5+fm5qcqio2pYmOpxQxsAALjJFdnw+tBDD6l169YObW3bttVDDz2kAQMGeKgqAAAAeJJHw2t6err27dtn3z548KASEhJUqlQpRUVFqXTp0g79ixUrpvLly6tatWruLhUAAABFgEfD65YtW3T33Xfbt6+sVe3fv7/i4+M9VBUAAACKKo+G19jYWBlj8t0/r3WuAAAAuDV49Bu2AAAAAGcQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYho+nCwAA4FrJyclKSUlx65hhYWGKiopy65gAnEd4BQAUKcnJyaoeE6OM8+fdOm5gQIASd+8mwAJFHOEVAFCkpKSkKOP8ec3u3l1Vw8LcMuaelBQNWrJEKSkphFegiCO8AgCKpKphYaoXEeHpMgAUMdywBQAAAMsgvAIAAMAyCK8AAACwDMIrAAAALIPwCgAAAMsgvAIAAMAyCK8AAACwDMIrAAAALIPwCgAAAMsgvAIAAMAyCK8AAACwDMIrAAAALIPwCgAAAMsgvAIAAMAyCK8AAACwDMIrAAAALIPwCgAAAMsgvAIAAMAyCK8AAACwDMIrAAAALIPwCgAAAMvwaHhdt26dOnXqpIiICNlsNi1btsz+3qVLlzRy5EjVrl1bxYsXV0REhPr166djx455rmAAAAB4lEfD67lz51S3bl3NnDkzx3sZGRnatm2bRo8erW3btmnJkiVKSkpS586dPVApAAAAigIfTw7erl07tWvXLtf3QkJCtHLlSoe2119/XY0aNVJycrKioqLcUSIAAACKEI+GV2elpqbKZrMpNDQ0zz6ZmZnKzMy0b6elpbmhMkfJyclKSUlxy1iJiYluGQcAAKAosEx4vXDhgkaOHKlevXopODg4z36TJk3SuHHj3FiZo+TkZFWPiVHG+fMeqwEAAOBmZYnweunSJfXo0UPGGL355pvX7RsXF6fhw4fbt9PS0hQZGenqEu1SUlKUcf68ZnfvrqphYS4fb+XevZqwZo3LxwEAACgKinx4vRJcDx8+rNWrV1/3qqsk+fn5yc/Pz03V5a1qWJjqRUS4fJw9blqeAAAAUBQU6fB6Jbju3btXa9asUenSpT1dEgAAADzIo+E1PT1d+/bts28fPHhQCQkJKlWqlMLDw/XAAw9o27Zt+vzzz5WVlaUTJ05IkkqVKiVfX19PlQ0AAAAP8Wh43bJli+6++2779pW1qv3799fzzz+vTz/9VJJUr149h/3WrFmj2NhYd5UJAACAIsKj4TU2NlbGmDzfv957AAAAuPV49Bu2AAAAAGcQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYho+nC4B1JSYmum2ssLAwRUVFuW28m11ycrJSUlLcNh4/P1gFv9eAoo/wCqedTE+Xl82mvn37um3MwIAAJe7ezS/6QpCcnKzqMTHKOH/ebWPy80NRx+81wDoIr3Ba6oULyjZGs7t3V9WwMJePtyclRYOWLFFKSgq/5AtBSkqKMs6f5+cHXIXfa4B1EF5RYFXDwlQvIsLTZaCA+PkBOfH3Aij6uGELAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYhtPh9ciRI/rll1/s25s3b9awYcM0e/bsQi0MAAAAuJbT4bV3795as2aNJOnEiRO67777tHnzZj333HMaP358oRcIAAAAXOF0eP3555/VqFEjSdKHH36oWrVqacOGDZo/f77i4+MLuz4AAADAzunweunSJfn5+UmS/ve//6lz586SpJiYGB0/frxwqwMAAACu4nR4rVmzpmbNmqVvv/1WK1eu1P333y9JOnbsmEqXLl3oBQIAAABXOB1eJ0+erLfeekuxsbHq1auX6tatK0n69NNP7csJAAAAAFfwcXaH2NhYpaSkKC0tTSVLlrS3Dxo0SIGBgYVaHAAAAHC1Aj3n1RijrVu36q233tLZs2clSb6+voRXAAAAuJTTV14PHz6s+++/X8nJycrMzNR9992noKAgTZ48WZmZmZo1a5Yr6gQAAACcv/I6dOhQNWjQQGfOnFFAQIC9vVu3blq1alWhFgcAAABczekrr99++602bNggX19fh/aKFSvq6NGjhVYYAAAAcC2nr7xmZ2crKysrR/svv/yioKCgQikKAAAAyI3T4bVNmzaaMWOGfdtmsyk9PV1jx45V+/btC7M2AAAAwIHT4XXatGn67rvvVKNGDV24cEG9e/e2LxmYPHmyU8dat26dOnXqpIiICNlsNi1btszhfWOMxowZo/DwcAUEBKh169bau3evsyUDAADgJuF0eK1QoYJ27Nih5557Tk899ZTq16+vl156Sdu3b1fZsmWdOta5c+dUt25dzZw5M9f3p0yZoldffVWzZs3Spk2bVLx4cbVt21YXLlxwtmwAAADcBJy+YUuSfHx81KdPH/Xp0+dPDd6uXTu1a9cu1/eMMZoxY4b+/e9/q0uXLpKk//73vypXrpyWLVumnj17/qmxAQAAYD1Oh9d58+YpLCxMHTp0kCQ988wzmj17tmrUqKEFCxYoOjq6UAo7ePCgTpw4odatW9vbQkJC1LhxY23cuDHP8JqZmanMzEz7dlpaWqHUg1tLcnKyUlJS3DZeWFiYoqKi3DaeJyQmJrp1PHfPqTvPGXfPpbvH9dTnA2ANTofXiRMn6s0335Qkbdy4Ua+//rpmzJihzz//XE899ZSWLFlSKIWdOHFCklSuXDmH9nLlytnfy82kSZM0bty4QqkBt6bk5GRVj4lRxvnzbhszMCBAibt335QB9mR6urxsNvXt29et47pzTj1xzriTp36GAJAbp8PrkSNHVKVKFUnSsmXL9MADD2jQoEFq1qyZYmNjC7s+p8XFxWn48OH27bS0NEVGRnqwIlhNSkqKMs6f1+zu3VU1LMzl4+1JSdGgJUuUkpJyU4bX1AsXlG2M2+ZTcv+cuvucWbl3ryasWePyca5w98/Q3Z8PgLU4HV5LlCihX3/9VVFRUVqxYoU9KPr7++t8IV51KF++vCTp5MmTCg8Pt7efPHlS9erVy3M/Pz8/+fn5FVoduHVVDQtTvYgIT5dx07gV5tNdn3GPG5e0XO1m/3wArMHppw3cd999euyxx/TYY49pz5499me77ty5UxUrViy0wipVqqTy5cs7fOVsWlqaNm3apCZNmhTaOAAAALAOp8PrzJkz1aRJE50+fVoff/yxSpcuLUnaunWrevXq5dSx0tPTlZCQoISEBEl/3KSVkJCg5ORk2Ww2DRs2TC+++KI+/fRT/fTTT+rXr58iIiLUtWtXZ8sGAADATeCGywY++eQTNWnSxP4M19DQUL3++us5+hXkJqktW7bo7rvvtm9fWYLQv39/xcfH65lnntG5c+c0aNAg/f7772revLmWL18uf39/p8cCAACA9d0wvGZmZqp58+b66quvVLlyZf3444/X7V+nTp18Dx4bGytjTJ7v22w2jR8/XuPHj8/3MQEAAHDzumF47dGjh4KDg9WxY0clJiaqXr16stlsDqHzyrbNZlNWVpZLCwYAAMCtK19PG7j//vsVExMj6Y91qQAAAIAn5PtRWVeeJFBY36AFAAAAOMvp57xesWvXLiUnJ+vixYsO7Z07d/7TRQEAAAC5cTq8HjhwQN26ddNPP/3ksPbVZrNJEmteAQAA4DJOP+d16NChqlSpkk6dOqXAwEDt3LlT69atU4MGDbR27VoXlAgAAAD8wekrrxs3btTq1asVFhYmLy8veXl5qXnz5po0aZKGDBmi7du3u6JOAAAAwPkrr1lZWQoKCpIkhYWF6dixY5L+uJErKSmpcKsDAAAAruL0lddatWppx44dqlSpkho3bqwpU6bI19dXs2fP1u233+6KGgEAAABJBQiv//73v3Xu3DlJ0vjx49WxY0e1aNFCpUuX1qJFiwq9QAAAAOAKp8NrbGysLl++LEmqUqWKdu/erd9++00lS5a0P3EAAAAAcIV8r3k9ffq02rVrpxIlSig4OFh/+ctftG/fPklSqVKlCK4AAABwuXyH15EjRyohIUHjx4/X1KlT9fvvv2vgwIGurA0AAABwkO9lAytXrlR8fLzatm0rSerYsaOqV6+uzMxM+fn5uaxAAAAA4Ip8X3k9duyY6tata9++44475Ofnp+PHj7ukMAAAAOBaTj3n1dvbO8f2la+HBQAAAFwt38sGjDGqWrWqw41Z6enpql+/vry8/n8G/u233wq3QgAAAOD/5Du8zp0715V1AAAAADeU7/Dav39/V9YBAAAA3JDTX1IAAACsJzk5WSkpKW4bLywsTFFRUW4bD7cOwisAADe55ORkVY+JUcb5824bMzAgQIm7dxNgUegIrwAA3ORSUlKUcf68ZnfvrqphYS4fb09KigYtWaKUlBTCKwod4RUAgFtE1bAw1YuI8HQZwJ/i1HNer3bx4kUlJSXp8uXLhVkPAAAAkCenw2tGRoYeffRRBQYGqmbNmkpOTpYkPfnkk3rppZcKvUAAAADgCqfDa1xcnHbs2KG1a9fK39/f3t66dWstWrSoUIsDAAAArub0mtdly5Zp0aJF+stf/uLwbVs1a9bU/v37C7U4AAAA4GpOX3k9ffq0ypYtm6P93LlzDmEWAAAAKGxOh9cGDRroiy++sG9fCaxvv/22mjRpUniVAQAAANdwetnAxIkT1a5dO+3atUuXL1/WK6+8ol27dmnDhg365ptvXFEjAAAAIKkAV16bN2+uhIQEXb58WbVr19aKFStUtmxZbdy4UXfddZcragQAAAAkFfBLCipXrqw5c+YUdi0AAADAdeUrvKalpeX7gMHBwQUuBgAAALiefIXX0NDQfD9JICsr608VBAAAAOQlX+F1zZo19j8fOnRIo0aN0sMPP2x/usDGjRs1b948TZo0yTVVAgAAAMpneG3VqpX9z+PHj9f06dPVq1cve1vnzp1Vu3ZtzZ49W/379y/8KgEAAAAV4GkDGzduVIMGDXK0N2jQQJs3by6UogAAAIDcOB1eIyMjc33SwNtvv63IyMhCKQoAAADIjdOPynr55Zf117/+VV999ZUaN24sSdq8ebP27t2rjz/+uNALBAAAAK5w+spr+/bttXfvXnXu3Fm//fabfvvtN3Xq1El79uxR+/btXVEjAAAAIKmAX1JQoUIFTZgwobBrAQAAAK7L6SuvAAAAgKcQXgEAAGAZhFcAAABYRpEOr1lZWRo9erQqVaqkgIAAVa5cWS+88IKMMZ4uDQAAAB5QoBu2JOn06dNKSkqSJFWrVk1lypQptKKumDx5st58803NmzdPNWvW1JYtWzRgwACFhIRoyJAhhT4eAAAAijanw+u5c+f05JNP6r333lNWVpYkydvbW/369dNrr72mwMDAQituw4YN6tKlizp06CBJqlixohYsWMA3eQEAANyinA6vw4cP1zfffKNPP/1UzZo1kyStX79eQ4YM0b/+9S+9+eabhVZc06ZNNXv2bO3Zs0dVq1bVjh07tH79ek2fPj3PfTIzM5WZmWnfTktLK7R6AFhLYmLiTTUObj6co4DznA6vH3/8sRYvXqzY2Fh7W/v27RUQEKAePXoUangdNWqU0tLSFBMTI29vb2VlZWnChAnq06dPnvtMmjRJ48aNK7QaAFjPyfR0edls6tu3r6dLAXLFOQoUnNPhNSMjQ+XKlcvRXrZsWWVkZBRKUVd8+OGHmj9/vj744APVrFlTCQkJGjZsmCIiItS/f/9c94mLi9Pw4cPt22lpaYqMjCzUugAUbakXLijbGM3u3l1Vw8JcPt7KvXs1Yc0al4+DmwfnKFBwTofXJk2aaOzYsfrvf/8rf39/SdL58+c1btw4NWnSpFCLGzFihEaNGqWePXtKkmrXrq3Dhw9r0qRJeYZXPz8/+fn5FWodAKypaliY6kVEuHycPSkpLh8DNyfOUcB5TofXGTNm6P7771eFChVUt25dSdKOHTvk7++vr7/+ulCLy8jIkJeX49O8vL29lZ2dXajjAAAAwBqcDq+1a9fW3r17NX/+fO3evVuS1KtXL/Xp00cBAQGFWlynTp00YcIERUVFqWbNmtq+fbumT5+uRx55pFDHAQAAgDU4FV4vXbqkmJgYff755xo4cKCrarJ77bXXNHr0aD3++OM6deqUIiIi9Pe//11jxoxx+dgAAAAoepwKr8WKFdOFCxdcVUsOQUFBmjFjhmbMmOG2MQEAAFB0Of31sIMHD9bkyZN1+fJlV9QDAAAA5MnpNa8//PCDVq1apRUrVqh27doqXry4w/tLliwptOIAAACAqzkdXkNDQ/XXv/7VFbUAAAAA1+V0eJ07d64r6gAAAABuyOk1r5J0+fJl/e9//9Nbb72ls2fPSpKOHTum9PT0Qi0OAAAAuJrTV14PHz6s+++/X8nJycrMzNR9992noKAgTZ48WZmZmZo1a5Yr6gQAAACcv/I6dOhQNWjQQGfOnHH4UoJu3bpp1apVhVocAAAAcDWnr7x+++232rBhg3x9fR3aK1asqKNHjxZaYQAAAMC1nL7ymp2draysrBztv/zyi4KCggqlKAAAACA3TofXNm3aOHzjlc1mU3p6usaOHav27dsXZm0AAACAA6eXDUybNk1t27ZVjRo1dOHCBfXu3Vt79+5VWFiYFixY4IoaAQAAAEkFCK8VKlTQjh07tHDhQv34449KT0/Xo48+qj59+jjcwAUAAAAUNqfDqyT5+Piob9++hV0LAAAAcF0FCq/Hjh3T+vXrderUKWVnZzu8N2TIkEIpDAAAALiW0+E1Pj5ef//73+Xr66vSpUvLZrPZ37PZbIRXAAAAuIzT4XX06NEaM2aM4uLi5OVVoG+XBQAAAArE6fSZkZGhnj17ElwBAADgdk4n0EcffVQfffSRK2oBAAAArsvpZQOTJk1Sx44dtXz5ctWuXVvFihVzeH/69OmFVhwAAABwtQKF16+//lrVqlWTpBw3bAEomMTExJtqHAAAXKFA37D17rvv6uGHH3ZBOcCt52R6urxsNp6dDABAPjgdXv38/NSsWTNX1ALcklIvXFC2MZrdvbuqhoW5fLyVe/dqwpo1Lh8HAABXcDq8Dh06VK+99ppeffVVV9QD3LKqhoWpXkSEy8fZk5Li8jEAAHAVp8Pr5s2btXr1an3++eeqWbNmjhu2lixZUmjFAQAAAFdzOryGhoaqe/furqgFAAAAuC6nw+vcuXNdUQcAAABwQ3xNFgAAACzD6SuvlSpVuu7zXA8cOPCnCgIAAADycsPwunjxYv3lL39RhQoVJEnDhg1zeP/SpUvavn27li9frhEjRrikSAAAAEDKR3j18fFRixYttGzZMtWtW1dDhw7Ntd/MmTO1ZcuWQi8QAAAAuOKGa167du2qRYsWqX///tft165dO3388ceFVhgAAABwrXzdsNWoUSOtW7fuun0WL16sUqVKFUpRAAAAQG7yfcNWcHCwJKl+/foON2wZY3TixAmdPn1ab7zxRuFXCAAAAPwfp5820LVrV4dtLy8vlSlTRrGxsYqJiSmsugAAAIAcnA6vY8eOdUUdAAAAwA3xJQUAAACwjHxfefXy8rrulxNIks1m0+XLl/90UQAAAEBu8h1ely5dmud7Gzdu1Kuvvqrs7OxCKQoAAADITb7Da5cuXXK0JSUladSoUfrss8/Up08fjR8/vlCLAwAAAK5WoDWvx44d08CBA1W7dm1dvnxZCQkJmjdvnqKjowu7PgAAAMDOqfCampqqkSNHqkqVKtq5c6dWrVqlzz77TLVq1XJVfQAAAIBdvpcNTJkyRZMnT1b58uW1YMGCXJcRAAAAAK6U7/A6atQoBQQEqEqVKpo3b57mzZuXa78lS5YUWnEAAADA1fIdXvv163fDR2UBAAAArpTv8BofH+/CMvJ29OhRjRw5Ul999ZUyMjJUpUoVzZ07Vw0aNPBIPQAAAPAcp78e1p3OnDmjZs2a6e6779ZXX32lMmXKaO/evSpZsqSnSwMAAIAHFOnwOnnyZEVGRmru3Ln2tkqVKnmwIgAAAHhSgZ7z6i6ffvqpGjRooL/97W8qW7as6tevrzlz5lx3n8zMTKWlpTm8AAAAcHMo0uH1wIEDevPNN3XHHXfo66+/1j//+U8NGTIkzycdSNKkSZMUEhJif0VGRrqxYgAAALhSkQ6v2dnZuvPOOzVx4kTVr19fgwYN0sCBAzVr1qw894mLi1Nqaqr9deTIETdWDAAAAFcq0uE1PDxcNWrUcGirXr26kpOT89zHz89PwcHBDi8AAADcHIp0eG3WrJmSkpIc2vbs2aPo6GgPVQQAAABPKtLh9amnntL333+viRMnat++ffrggw80e/ZsDR482NOlAQAAwAOKdHht2LChli5dqgULFqhWrVp64YUXNGPGDPXp08fTpQEAAMADivRzXiWpY8eO6tixo6fLAAAAQBFQpK+8AgAAAFcjvAIAAMAyCK8AAACwDMIrAAAALIPwCgAAAMsgvAIAAMAyCK8AAACwDMIrAAAALIPwCgAAAMsgvAIAAMAyCK8AAACwDMIrAAAALIPwCgAAAMsgvAIAAMAyCK8AAACwDMIrAAAALIPwCgAAAMsgvAIAAMAyCK8AAACwDB9PFwDkV2Ji4k01DgAAcB7hFUXeyfR0edls6tu3r6dLAQAAHkZ4RZGXeuGCso3R7O7dVTUszOXjrdy7VxPWrHH5OAAAwHmEV1hG1bAw1YuIcPk4e1JSXD4GAAAoGG7YAgAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGVYKry+9NJLstlsGjZsmKdLAQAAgAdYJrz+8MMPeuutt1SnTh1PlwIAAAAPsUR4TU9PV58+fTRnzhyVLFnS0+UAAADAQywRXgcPHqwOHTqodevWN+ybmZmptLQ0hxcAAABuDj6eLuBGFi5cqG3btumHH37IV/9JkyZp3LhxLq4KAAAAnlCkr7weOXJEQ4cO1fz58+Xv75+vfeLi4pSammp/HTlyxMVVAgAAwF2K9JXXrVu36tSpU7rzzjvtbVlZWVq3bp1ef/11ZWZmytvb22EfPz8/+fn5ubtUAAAAuEGRDq/33nuvfvrpJ4e2AQMGKCYmRiNHjswRXAEAAHBzK9LhNSgoSLVq1XJoK168uEqXLp2jHQAAADe/Ir3mFQAAALhakb7ympu1a9d6ugQAAAB4CFdeAQAAYBmEVwAAAFgG4RUAAACWQXgFAACAZRBeAQAAYBmEVwAAAFgG4RUAAACWQXgFAACAZRBeAQAAYBmEVwAAAFgG4RUAAACWQXgFAACAZRBeAQAAYBmEVwAAAFgG4RUAAACWQXgFAACAZRBeAQAAYBmEVwAAAFgG4RUAAACW4ePpAgAAwM0pMTHRbWOFhYUpKirKbePBcwivAACgUJ1MT5eXzaa+ffu6bczAgAAl7t5NgL0FEF4BAEChSr1wQdnGaHb37qoaFuby8fakpGjQkiVKSUkhvN4CCK8AAMAlqoaFqV5EhKfLwE2GG7YAAABgGYRXAAAAWAbhFQAAAJZBeAUAAIBlEF4BAABgGYRXAAAAWAbhFQAAAJZBeAUAAIBlEF4BAABgGYRXAAAAWAbhFQAAAJZBeAUAAIBlEF4BAABgGYRXAAAAWAbhFQAAAJZBeAUAAIBlEF4BAABgGYRXAAAAWAbhFQAAAJZBeAUAAIBlEF4BAABgGUU+vE6aNEkNGzZUUFCQypYtq65duyopKcnTZQEAAMADinx4/eabbzR48GB9//33WrlypS5duqQ2bdro3Llzni4NAAAAbubj6QJuZPny5Q7b8fHxKlu2rLZu3aqWLVt6qCoAAAB4QpEPr9dKTU2VJJUqVSrX9zMzM5WZmWnfTktLc0tdAAAAcL0iv2zgatnZ2Ro2bJiaNWumWrVq5dpn0qRJCgkJsb8iIyPdXCUAAABcxVLhdfDgwfr555+1cOHCPPvExcUpNTXV/jpy5IgbKwQAAIArWWbZwBNPPKHPP/9c69atU4UKFfLs5+fnJz8/PzdWBgAAAHcp8uHVGKMnn3xSS5cu1dq1a1WpUiVPlwQAAAAPKfLhdfDgwfrggw/0ySefKCgoSCdOnJAkhYSEKCAgwMPVAQAAwJ2K/JrXN998U6mpqYqNjVV4eLj9tWjRIk+XBgAAADcr8ldejTGeLgEAAABFRJG/8goAAABcQXgFAACAZRBeAQAAYBmEVwAAAFgG4RUAAACWQXgFAACAZRBeAQAAYBmEVwAAAFgG4RUAAACWQXgFAACAZRBeAQAAYBmEVwAAAFgG4RUAAACWQXgFAACAZRBeAQAAYBmEVwAAAFgG4RUAAACWQXgFAACAZRBeAQAAYBk+ni4AAACgMCQmJrptrLCwMEVFRbltPElKTk5WSkqK28bzxGfMD8IrAACwtJPp6fKy2dS3b1+3jRkYEKDE3bvdFu6Sk5NVPSZGGefPu2U8yf2fMb8IrwAAwNJSL1xQtjGa3b27qoaFuXy8PSkpGrRkiVJSUtwW7FJSUpRx/vxN/Rnzi/AKAABuClXDwlQvIsLTZbjUrfAZb4QbtgAAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZhFcAAABYBuEVAAAAlkF4BQAAgGUQXgEAAGAZlgivM2fOVMWKFeXv76/GjRtr8+bNni4JAAAAHlDkw+uiRYs0fPhwjR07Vtu2bVPdunXVtm1bnTp1ytOlAQAAwM2KfHidPn26Bg4cqAEDBqhGjRqaNWuWAgMD9e6773q6NAAAALiZj6cLuJ6LFy9q69atiouLs7d5eXmpdevW2rhxY677ZGZmKjMz076dmpoqSUpLS3Ntsf8nPT1dkrTj+HGdu3jR5ePtOX3areN5YkzGY7yiPibjWXs8T4zJeNYeb9+vv0qStm7dav/vvqslJSVJcv9nTE9Pd0uGujKGMebGnU0RdvToUSPJbNiwwaF9xIgRplGjRrnuM3bsWCOJFy9evHjx4sWLl8VeR44cuWE+LNJXXgsiLi5Ow4cPt29nZ2frt99+U+nSpWWz2f7UsdPS0hQZGakjR44oODj4z5Z602Becse85I55yR3zkhNzkjvmJXfMS+6sMi/GGJ09e1YRERE37Fukw2tYWJi8vb118uRJh/aTJ0+qfPnyue7j5+cnPz8/h7bQ0NBCrSs4OLhInwCewrzkjnnJHfOSO+YlJ+Ykd8xL7piX3FlhXkJCQvLVr0jfsOXr66u77rpLq1atsrdlZ2dr1apVatKkiQcrAwAAgCcU6SuvkjR8+HD1799fDRo0UKNGjTRjxgydO3dOAwYM8HRpAAAAcLMiH14ffPBBnT59WmPGjNGJEydUr149LV++XOXKlXN7LX5+fho7dmyOZQm3OuYld8xL7piX3DEvOTEnuWNecse85O5mnBebMfl5JgEAAADgeUV6zSsAAABwNcIrAAAALIPwCgAAAMsgvAIAAMAyCK/XmDlzpipWrCh/f381btxYmzdvvm7/jz76SDExMfL391ft2rX15ZdfuqlS93JmXnbu3Km//vWvqlixomw2m2bMmOG+Qt3MmXmZM2eOWrRooZIlS6pkyZJq3br1Dc8vq3JmXpYsWaIGDRooNDRUxYsXV7169fTee++5sVr3cPZ3yxULFy6UzWZT165dXVughzgzL/Hx8bLZbA4vf39/N1brPs6eL7///rsGDx6s8PBw+fn5qWrVqjflf4+cmZfY2Ngc54vNZlOHDh3cWLF7OHu+zJgxQ9WqVVNAQIAiIyP11FNP6cKFC26qthDc8AtkbyELFy40vr6+5t133zU7d+40AwcONKGhoebkyZO59v/uu++Mt7e3mTJlitm1a5f597//bYoVK2Z++uknN1fuWs7Oy+bNm83TTz9tFixYYMqXL29efvll9xbsJs7OS+/evc3MmTPN9u3bTWJionn44YdNSEiI+eWXX9xcuWs5Oy9r1qwxS5YsMbt27TL79u0zM2bMMN7e3mb58uVurtx1nJ2TKw4ePGhuu+0206JFC9OlSxf3FOtGzs7L3LlzTXBwsDl+/Lj9deLECTdX7XrOzktmZqZp0KCBad++vVm/fr05ePCgWbt2rUlISHBz5a7l7Lz8+uuvDufKzz//bLy9vc3cuXPdW7iLOTsv8+fPN35+fmb+/Pnm4MGD5uuvvzbh4eHmqaeecnPlBUd4vUqjRo3M4MGD7dtZWVkmIiLCTJo0Kdf+PXr0MB06dHBoa9y4sfn73//u0jrdzdl5uVp0dPRNG17/zLwYY8zly5dNUFCQmTdvnqtK9Ig/Oy/GGFO/fn3z73//2xXleURB5uTy5cumadOm5u233zb9+/e/KcOrs/Myd+5cExIS4qbqPMfZeXnzzTfN7bffbi5evOiuEj3iz/5uefnll01QUJBJT093VYke4ey8DB482Nxzzz0ObcOHDzfNmjVzaZ2FiWUD/+fixYvaunWrWrdubW/z8vJS69attXHjxlz32bhxo0N/SWrbtm2e/a2oIPNyKyiMecnIyNClS5dUqlQpV5Xpdn92XowxWrVqlZKSktSyZUtXluo2BZ2T8ePHq2zZsnr00UfdUabbFXRe0tPTFR0drcjISHXp0kU7d+50R7luU5B5+fTTT9WkSRMNHjxY5cqVU61atTRx4kRlZWW5q2yXK4zfue+884569uyp4sWLu6pMtyvIvDRt2lRbt261Ly04cOCAvvzyS7Vv394tNReGIv8NW+6SkpKirKysHN/cVa5cOe3evTvXfU6cOJFr/xMnTrisTncryLzcCgpjXkaOHKmIiIgc/wCysoLOS2pqqm677TZlZmbK29tbb7zxhu677z5Xl+sWBZmT9evX65133lFCQoIbKvSMgsxLtWrV9O6776pOnTpKTU3V1KlT1bRpU+3cuVMVKlRwR9kuV5B5OXDggFavXq0+ffroyy+/1L59+/T444/r0qVLGjt2rDvKdrk/+zt38+bN+vnnn/XOO++4qkSPKMi89O7dWykpKWrevLmMMbp8+bL+8Y9/6Nlnn3VHyYWC8Ap4wEsvvaSFCxdq7dq1N+0NJ84ICgpSQkKC0tPTtWrVKg0fPly33367YmNjPV2a2509e1YPPfSQ5syZo7CwME+XU6Q0adJETZo0sW83bdpU1atX11tvvaUXXnjBg5V5VnZ2tsqWLavZs2fL29tbd911l44ePar//Oc/N014/bPeeecd1a5dW40aNfJ0KR63du1aTZw4UW+88YYaN26sffv2aejQoXrhhRc0evRoT5eXL4TX/xMWFiZvb2+dPHnSof3kyZMqX758rvuUL1/eqf5WVJB5uRX8mXmZOnWqXnrpJf3vf/9TnTp1XFmm2xV0Xry8vFSlShVJUr169ZSYmKhJkybdFOHV2TnZv3+/Dh06pE6dOtnbsrOzJUk+Pj5KSkpS5cqVXVu0GxTG75ZixYqpfv362rdvnytK9IiCzEt4eLiKFSsmb29ve1v16tV14sQJXbx4Ub6+vi6t2R3+zPly7tw5LVy4UOPHj3dliR5RkHkZPXq0HnroIT322GOSpNq1a+vcuXMaNGiQnnvuOXl5Ff0VpUW/Qjfx9fXVXXfdpVWrVtnbsrOztWrVKod/6V+tSZMmDv0laeXKlXn2t6KCzMutoKDzMmXKFL3wwgtavny5GjRo4I5S3aqwzpfs7GxlZma6okS3c3ZOYmJi9NNPPykhIcH+6ty5s+6++24lJCQoMjLSneW7TGGcK1lZWfrpp58UHh7uqjLdriDz0qxZM+3bt8/+jxxJ2rNnj8LDw2+K4Cr9ufPlo48+UmZmpvr27evqMt2uIPOSkZGRI6Be+YePMcZ1xRYmD98wVqQsXLjQ+Pn5mfj4eLNr1y4zaNAgExoaan8Uy0MPPWRGjRpl7//dd98ZHx8fM3XqVJOYmGjGjh170z4qy5l5yczMNNu3bzfbt2834eHh5umnnzbbt283e/fu9dRHcAln5+Wll14yvr6+ZvHixQ6Pbzl79qynPoJLODsvEydONCtWrDD79+83u3btMlOnTjU+Pj5mzpw5nvoIhc7ZObnWzfq0AWfnZdy4cebrr782+/fvN1u3bjU9e/Y0/v7+ZufOnZ76CC7h7LwkJyeboKAg88QTT5ikpCTz+eefm7Jly5oXX3zRUx/BJQr696h58+bmwQcfdHe5buPsvIwdO9YEBQWZBQsWmAMHDpgVK1aYypUrmx49enjqIziN8HqN1157zURFRRlfX1/TqFEj8/3339vfa9Wqlenfv79D/w8//NBUrVrV+Pr6mpo1a5ovvvjCzRW7hzPzcvDgQSMpx6tVq1buL9zFnJmX6OjoXOdl7Nix7i/cxZyZl+eee85UqVLF+Pv7m5IlS5omTZqYhQsXeqBq13L2d8vVbtbwaoxz8zJs2DB733Llypn27dubbdu2eaBq13P2fNmwYYNp3Lix8fPzM7fffruZMGGCuXz5spurdj1n52X37t1GklmxYoWbK3UvZ+bl0qVL5vnnnzeVK1c2/v7+JjIy0jz++OPmzJkz7i+8gGzGWOUaMQAAAG51rHkFAACAZRBeAQAAYBmEVwAAAFgG4RUAAACWQXgFAACAZRBeAQAAYBmEVwAAAFgG4RUAAACWQXgFbmKHDh1S9erVtWXLFk+XAgBAoSC8AjexzZs3a8GCBWrQoIGnSwGKrE2bNmnatGniCycBayC8AjexHj16qF69en/6ODabTcuWLZP0x9Vcm82mhISEP31cZ8TGxmrYsGFuHbOgHn74YXXt2tXt4z7//PM3/HkXRm2uOgfi4+MVGhpaqMe8kbNnz6p///768ssvNWvWLLeODaBgCK/ATcwVISoyMlLHjx9XrVq1CvW47lCxYkXZbDbZbDYFBASoYsWK6tGjh1avXl2o47zyyiuKj48v1GMi/9LS0jR69GjVrFlTAQEBKl26tBo2bKgpU6bozJkzDn2feeYZDRs2TMuWLdPbb7+tw4cPe6hqAPnl4+kCAFiLt7e3ypcv7+kyCmz8+PEaOHCgLl68qEOHDun9999X69at9cILL+i5554rlDFCQkIK5Thw3m+//abmzZsrLS1NL7zwgu666y6FhIQoKSlJc+fO1QcffKDBgwfb+7/55pv2P2/dutUtNV66dEnFihVzy1jAzYgrr8AtJDY2VkOGDNEzzzyjUqVKqXz58nr++ecd+uzdu1ctW7aUv7+/atSooZUrVzq8n9v/Mt65c6c6duyo4OBgBQUFqUWLFtq/f7/9/bffflvVq1eXv7+/YmJi9MYbb1y3znPnzqlfv34qUaKEwsPDNW3atBx9MjMz9fTTT+u2225T8eLF1bhxY61du/aGcxAUFKTy5csrKipKLVu21OzZszV69GiNGTNGSUlJ9n4///yz2rVrpxIlSqhcuXJ66KGHlJKSYn9/8eLFql27tv3KXuvWrXXu3DlJOa94nz17Vn369FHx4sUVHh6ul19+OccyiKuXZlwRGhrqcAV35MiRqlq1qgIDA3X77bdr9OjRunTpUp6fNSsrS8OHD1doaKhKly6tZ555Jse6zuXLl6t58+b2Ph07dnT42Ul/rJ2uX7++/P391aBBA23fvj3HWDear9zEx8crKipKgYGB6tatm3799dccfT755BPdeeed8vf31+23365x48bp8uXLeR7z2WefVXJysjZv3qwBAwaoTp06io6OVps2bbRgwQI9/vjj9r43OoeuLGP4+uuvVb16dZUoUUL333+/jh8/7jDm9c7vK39fFi1apFatWsnf31/z589Xdna2xo8frwoVKsjPz0/16tXT8uXLrztfAP5AeAVuMfPmzVPx4sW1adMmTZkyRePHj7cH1OzsbHXv3l2+vr7atGmTZs2apZEjR173eEePHlXLli3l5+en1atXa+vWrXrkkUfsAWP+/PkaM2aMJkyYoMTERE2cOFGjR4/WvHnz8jzmiBEj9M033+iTTz7RihUrtHbtWm3bts2hzxNPPKGNGzdq4cKF+vHHH/W3v/1N999/v/bu3ev0nAwdOlTGGH3yySeSpN9//1333HOP6tevry1btmj58uU6efKkevToIUk6fvy4evXqpUceeUSJiYlau3atunfvnucNP8OHD9d3332nTz/9VCtXrtS3336b4/PkR1BQkOLj47Vr1y698sormjNnjl5++eU8+0+bNk3x8fF69913tX79ev32229aunSpQ59z585p+PDh2rJli1atWiUvLy9169ZN2dnZkqT09HR17NhRNWrU0NatW/X888/r6aefdjjGjeYrN5s2bdKjjz6qJ554QgkJCbr77rv14osvOvT59ttv1a9fPw0dOlS7du3SW2+9pfj4eE2YMCHXY2ZnZ2vRokXq27evIiIicu1js9nsf87POZSRkaGpU6fqvffe07p165ScnOzw+fN7fo8aNUpDhw5VYmKi2rZtq1deeUXTpk3T1KlT9eOPP6pt27bq3Llzgc5f4JZjANy0+vfvb7p06WLfbtWqlWnevLlDn4YNG5qRI0caY4z5+uuvjY+Pjzl69Kj9/a+++spIMkuXLjXGGHPw4EEjyWzfvt0YY0xcXJypVKmSuXjxYq41VK5c2XzwwQcObS+88IJp0qRJrv3Pnj1rfH19zYcffmhv+/XXX01AQIAZOnSoMcaYw4cPG29vb4c6jTHm3nvvNXFxcblPhjEmOjravPzyy7m+V65cOfPPf/7TXl+bNm0c3j9y5IiRZJKSkszWrVuNJHPo0KFcj3X1vKelpZlixYqZjz76yP7+77//bgIDA+2fxxjjMMdXhISEmLlz5+b5ef7zn/+Yu+66y749duxYU7duXft2eHi4mTJlin370qVLpkKFCg7nxLVOnz5tJJmffvrJGGPMW2+9ZUqXLm3Onz9v7/Pmm286nAM3mq/c9OrVy7Rv396h7cEHHzQhISH27XvvvddMnDjRoc97771nwsPDcz3miRMnjCQzffp0h/Y777zTFC9e3BQvXtz07NnTGJO/c2ju3LlGktm3b5/9/ZkzZ5py5crZt290fl/5+zJjxgyHPhEREWbChAkObQ0bNjSPP/54rp8NwP/HmlfgFlOnTh2H7fDwcJ06dUqSlJiYqMjISIerVk2aNLnu8RISEtSiRYtc1/CdO3dO+/fv16OPPqqBAwfa2y9fvpznutD9+/fr4sWLaty4sb2tVKlSqlatmn37p59+UlZWlqpWreqwb2ZmpkqXLn3devNijLFflduxY4fWrFmjEiVK5FpfmzZtdO+996p27dpq27at2rRpowceeEAlS5bM0f/AgQO6dOmSGjVqZG8LCQlx+Dz5tWjRIr366qvav3+/0tPTdfnyZQUHB+faNzU1VcePH3eYRx8fHzVo0MDhCvHevXs1ZswYbdq0SSkpKfYrrsnJyapVq5YSExNVp04d+fv72/e59py40Xxd+3OS/jjXunXr5tDWpEkTh/91vmPHDn333XcOV1qzsrJ04cIFZWRkKDAwMNfPfq2lS5fq4sWLGjlypM6fPy8p/+dQYGCgKleubN+++u+LM+f31Y+rS0tL07Fjx9SsWTOHPs2aNdOOHTvy9ZmAWxnhFbjFXBsybTabPbAUREBAQJ7vpaenS5LmzJnjEKKkP278Kqj09HR5e3tr69atOY6TW4C6kV9//VWnT59WpUqV7Mfv1KmTJk+enKNveHi4vL29tXLlSm3YsEErVqzQa6+9pueee06bNm2yH8NZNpstx7KDq9ezbty4UX369NG4cePUtm1bhYSEaOHChbmuB3ZGp06dFB0drTlz5igiIkLZ2dmqVauWLl68mO9j3Gi+Cio9PV3jxo1T9+7dc7x3dZi+okyZMgoNDXVYuyxJUVFRkv5YdvH777/bj52fcyi3vy9Xfk7OnN/FixfP83MCcA7hFYBd9erVdeTIER0/ftweOr7//vvr7lOnTh3Nmzcv1zuoy5Urp4iICB04cEB9+vTJVw2VK1dWsWLFtGnTJnvoOHPmjPbs2aNWrVpJkurXr6+srCydOnVKLVq0cPZj5vDKK6/Iy8vLfpPVnXfeqY8//lgVK1aUj0/uvyZtNpuaNWumZs2aacyYMYqOjtbSpUs1fPhwh3633367ihUrph9++MH+eVJTU7Vnzx61bNnS3q9MmTIONwLt3btXGRkZ9u0NGzYoOjra4YkI13usU0hIiMLDw7Vp0yb7OJcvX9bWrVt15513SvojtCclJWnOnDn2eVy/fr3DcapXr6733ntPFy5csAfGa8+J/MzXtapXr65NmzY5tOV23KSkJFWpUiVfx/Ty8lKPHj30/vvva8yYMXmue5UK5xwqyPktScHBwYqIiNB3331nP6cl6bvvvnO4Qg8gd4RXAHatW7dW1apV1b9/f/3nP/9RWlraDR8f9cQTT+i1115Tz549FRcXp5CQEH3//fdq1KiRqlWrpnHjxmnIkCEKCQnR/fffr8zMTG3ZskVnzpzJEfSkP656PfrooxoxYoRKly6tsmXL6rnnnpOX1/+/v7Rq1arq06eP+vXrp2nTpql+/fo6ffq0Vq1apTp16qhDhw551nv27FmdOHFCly5d0sGDB/X+++/r7bff1qRJk+whafDgwZozZ4569eplfzLDvn37tHDhQr399tv2m5vatGmjsmXLatOmTTp9+rSqV6+eY7ygoCD1799fI0aMUKlSpVS2bFmNHTtWXl5eDjcP3XPPPXr99dfVpEkTZWVlaeTIkQ7/GLjjjjuUnJyshQsXqmHDhvriiy9y3Hx1raFDh+qll17SHXfcoZiYGE2fPt1+5VGSSpYsqdKlS2v27NkKDw9XcnKyRo0a5XCM3r1767nnntPAgQMVFxenQ4cOaerUqQ59bjRfuV1lHzJkiJo1a6apU6eqS5cu+vrrr3PcbT9mzBh17NhRUVFReuCBB+Tl5aUdO3bo559/znFz1xUTJ07U2rVr1ahRI40fP14NGjRQ8eLF9eOPP2rjxo325xP/mXPoas6e31eMGDFCY8eOVeXKlVWvXj3NnTtXCQkJmj9/fr7GBW5pnl1yC8CVcrth6+qbhIwxpkuXLqZ///727aSkJNO8eXPj6+trqlatapYvX37dG7aMMWbHjh2mTZs2JjAw0AQFBZkWLVqY/fv329+fP3++qVevnvH19TUlS5Y0LVu2NEuWLMmz7rNnz5q+ffuawMBAU65cOTNlypQctV+8eNGMGTPGVKxY0RQrVsyEh4ebbt26mR9//DHP40ZHRxtJRpLx9fU1UVFRpkePHmb16tU5+u7Zs8d069bNhIaGmoCAABMTE2OGDRtmsrOzza5du0zbtm1NmTJljJ+fn6latap57bXX8pz3tLQ007t3bxMYGGjKly9vpk+fbho1amRGjRpl73P06FHTpk0bU7x4cXPHHXeYL7/8MscNWyNGjDClS5c2JUqUMA8++KB5+eWXHW5wuvaGrUuXLpmhQ4ea4OBgExoaaoYPH2769evnUNvKlStN9erVjZ+fn6lTp45Zu3ZtjpvHNm7caOrWrWt8fX1NvXr1zMcff5zjHLjefOXlnXfeMRUqVDABAQGmU6dOZurUqQ6fxxhjli9fbpo2bWoCAgJMcHCwadSokZk9e3aexzTmjxvi4uLiTExMjPHz8zMBAQGmTp06ZvTo0ebXX3+197vROTR37twc9SxdutRc+5/O653fuf19McaYrKws8/zzz5vbbrvNFCtWzNStW9d89dVX1/1cAP5gM4YvcwYAdzp37pxuu+02TZs2TY8++qinywEAS2HZAAC42Pbt27V79241atRIqampGj9+vCSpS5cuHq4MAKyH8AoAbjB16lQlJSXJ19dXd911l7799luFhYV5uiwAsByWDQAAAMAy+HpYAAAAWAbhFQAAAJZBeAUAAIBlEF4BAABgGYRXAAAAWAbhFQAAAJZBeAUAAIBlEF4BAABgGf8P+wp1TV9hMagAAAAASUVORK5CYII=",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(8, 6))\n",
+ "plt.hist(idg, bins=20, color='lightcoral', edgecolor='black') #bins é o número de barras\n",
+ "plt.xlabel('Índice de Desigualdade de Gênero')\n",
+ "plt.ylabel('Número de Países')\n",
+ "plt.title('Distribuição do IDG')\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Como é visualizada a porcentagem de mulheres no mercado de trabalho quando comparada com a de homens? "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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fPiQiInd3dzp37hwREeXm5lZo/JR3Onfs2JEaN27M5gu3Rvj7+5NUKqXatWuTiYkJM1TEjHpda5uYw1uhULDfqzvhOFnNtSc3th8+fEhGRkai85tzZovNYwMDA0pPTyci1Qarp6cnFRYW0m+//UZSqZQeP37Me28AbC7Z2Niwa3h4eDDnrZjMa9KkieB3hoaGTB6qv9Ply5fJ1taWzMzMeNvq+vXrJJFI2DPb29vTzZs3iUjlOOfmk9ga4e7uLmpMtG3bVuNo0aIFubi4kFQqpbp167Lz+NbT+vXraxmbYWFhZG9vT2ZmZoLrmr6+PtWsWZOI+B2hEyZMoEuXLmn05bVr18jJyYmIVEY9114rV66kevXqERHRyZMnSSqViral0IY4APaO5ubmdPfuXSJSyS0XFxdSKpXsWuq4e/cuGRoaEpHKwVq/fn26c+eO1u+IxMetra0tr+Eul8spODiYiPjniy4olUq2KaE+9vLy8kihUNDAgQPJ3d2djh07Rh8/fqSPHz/S0aNHSSqVUteuXYmIqEqVKnTixAkiUjmiuPflex+lUkmmpqYUHR0t2P/qY4tvTIvNB6lUyt6n/Hqrqw+JiPz9/UXng6GhIWsjPog52cX618zMjMlSIagHXcTGxtLAgQOJ6H91XDG9SEwG+Pn5UcOGDenYsWOUlpZG6enplJ6eTpUqVaL4+HjWFnxzPC4ujiwsLKhr165sPe7atSspFAqKjIzUWH/Lw8PDQ3STv3PnzlSrVi2NeXXv3j3y9vamiIgIunDhAu/BPaNYe3Tt2pUcHBxo/PjxtHz5cuaY0tPTo6lTp2o9k7p+IqYHit3XyMhIUFcLDQ0VHdfcBiJf/1taWpKxsbHWM586dYoqVapERMK6jZeXF+nr69P06dNZ+02bNo0MDQ1pw4YNGpsb6teePXs2GRgY8OpZVatWpTVr1rC/hea5np6eqP5gaWkpuLkskUhE9YC1a9eSvb09jRkzhrZv304HDx5kR5UqVXgdwzNmzKCgoCAyMTERneNi67xCoaDbt29rnZOenk5GRkaC8kVPT4+GDRtGRMKySey+NWvWpD179vA+r/rcFbq2kO0rk8l4bd8FCxawDZrNmzcL6txbtmwR9UNYWVmJbqSIyVOx6zZq1EjrnS5cuEDFxcU0YcIE8vT0FJQfnAwRgoGBAWVmZmp9fu/ePVIqlTRs2DAyNTWlmjVr0sCBA7U2iMX8ELpsUD6sXr2aoqOjRe01fX19wXEJQHTM8tkge/bsIU9PT1IqlWRgYMBrZ2ZnZ5NMJhO0uRQKBe/GD2f7EBHvRtqFCxfozJkzvH24YsUKOnPmDPtbqH/VgzEsLS3Z+9+/f5/s7e2JiASDzAwMDOjYsWNa78vpTD/x38FPJ/pPEBHpdIJUrlxZMPqtefPmgoqViYkJubm5CV6XSHwHWk9Pj9cpkJ2dTZaWlmRvb8+r8KkbuHznrVmzhuRyOZmbm1P16tWptLSUiFSRDeHh4ex5hRYShUJBt27d0nhmov9VCE1NTXkjdry8vJhzXx3jxo1jUa26nA0KhYLXiK5Tpw5JpVL68uUL+6yoqIg6depEbm5uZG5uTgsXLqRLly7RpUuXaMGCBWRubk6zZ8/m3fFW3xHl2iogIIC3rXRBzJGlr68v2M4ymUyw/y0sLGjJkiUUGxvL+oKIaNmyZfT777+zNhQzCMTGta2tLTVr1oxmz55Nenp69PTpUyJSOTmqVKkiem2lUimqPCuVSsH30mVE6zKgxZRroXnq4+PDDJlWrVpRr1696OnTpzR+/HjmLNQFsfkil8sFnQYSiYSSkpK02mrWrFlUv359ys/PFz10bTz9G4NAoVBoGOacbBw2bBg1a9aMiIgMDQ15lTpHR0fm7K9cubJGRKWXlxc1bdqUrl+/LtiOsbGxZG5uTg0bNqRhw4bxRkAKGbGWlpaiDngilfwoKCggIqIBAwbQiBEjNPqCb7OtUqVKZGZmpvX5nDlzyM/Pj+rXr8+iPLp160aRkZGUnJxMvXv3pmrVqok+DxFpOZ0nTpxIrVq1okmTJtHQoUMpODiYGZQSiYSIiN6/f09RUVGkVCpFjXpda5uYw9vAwIDJWnUnnJeXF1NEGzduTGPGjCEi1ZhzcnISnd+WlpZEJO4Ik8vlgplSEomEGVDl7y2TyZgsrFmzJq1bt46IiLZv386iH8VknoGBgeB39vb2NGDAAPa8Dx8+pH/++YciIiIoOjqarK2tedsqMzOTJBIJG/OhoaG0YMECIlJFc9rY2BCR+Bqh7nQUMibKo7S0lORyOU2cOJGIhNdTXcamEExMTARlmr6+Ppmbm5NUKqW+ffuycyZNmkTt2rUjIiIjIyPBaHX1zDG+thTaEJdKpRoy/eDBg0T0v4ZmREQEderUiVdH4CLCzc3NSV9fn6RSKRkYGGhF7Okat3xtyTnBiPjniy64ubnR6dOnNe5JRJSQkEA+Pj6CEfY1a9Zkjrv+/ftTSEgIbd26lZo1a0YhISFEpNshLQQvLy/RMS02H6RSKft/+fVWJpOJ9iGRau0Rmw/t2rWjXbt2CT67mJNdrD042c7JNj44ODgIZghKpVJRvUiXDOAbWxXRmdu3b88ye9QRFhZGenp6gmstEQk6X7hNflNTU/rrr7+0rn3jxg3eNVMdujZbzczMeO2IBg0a6NRPxPRAsfvq6ekJyjWlUik6rg0NDQX7v2PHjiSXy+n79+/smR8/fkw1atRgOoiYbmNra0tOTk5Mt3Jzc2ORlhVpj38LXfqDubm54Oay0KY2pwfwBYioH3K5nHr37s0cvb169SK5XE779++nmJgYFvjCB7F1Xk9Pj/WROpKTk8nCwkJQvlhZWbGMJSHZJHbfxo0bU1RUFM2cOZP27NmjsWlgbm6uU+4J2b4BAQEkk8m0Ph82bBjVrl1bsI3UIeaHMDIyEt1IEZOnuiLshd6pIlniYrC1taWTJ09qfX7ixAmytbUVDXxTD9Tgk6n/Zs3My8sjExMTUXtNX19fcFxKJBLRMStkg7Rr146qVatGPj4+LGJbfZ7Gx8eTjY2NoM1lZWVF8+bN07ovZ/sQkehGWkWD0Pjg5OTE5p6/vz+T2VevXmVrm1CQGRftXv6ZEhISSE9Pj2U18R0/UXH8rIn+EwBU9YczMjLg5uaG2rVrY/HixdDX18eGDRvg7u6O/Px8VkPJ1NSU1cSqX78+Bg8eDKVSycg7bG1t8eTJE/j4+MDLywt37twBAN7rAkBmZiZ27NgBAJDL5fjy5QuMjY0xe/ZsHDt2DO/evYOLiwucnZ1x/fp1VK9eHY8ePQIRobCwkNUctrCwwOvXr+Hl5QU7OzvcvXsXAHjPGzJkCEJCQlBQUIBffvmFPbu7uzvmzp0LQFVTzN/fHwBgbGyMjx8/AlDV2B07dixmz56N3bt3A1DVoHvy5AkmTJiADh064NSpUxp1/zgsX74cHTp0wPHjx1nd7r/++gs5OTnYu3cvRo0ahefPn8PZ2RkeHh44deoUgoKCkJKSAoVCAQCwsbFBenq6Vs3SDh06ICUlBZUqVWJ1JzMyMmBgYIATJ07g9OnTiIuLw6RJkwCoaszOnDkTsbGxWjXJi4uLkZaWxmqoOTs7i7YVh9zcXOTl5aFhw4ZQKpWMMIYjMAUAa2tr/P333/D29oaLiwu+f/8u2M4jR44U7H8AGDt2rFYbczXKAAiOD39/f9y6dQtSqVRwXP/zzz+Qy+XYs2cP1q5dy8hijx8/jsjISGzZskXw2l++fEG9evUAAEqlEv/88w8AoFevXqhTpw7s7e0F30sikbAadA4ODsjLy0O1atUAqDgGXr9+jRYtWgBQ1cQrLCyERCLBqFGjEBERgU6dOrHau+Whp6fHO0+jo6Mxbdo0AMCMGTMQGRmJbdu2QV9fH1u2bGHni5EKic2XUaNGISsrC66urqhevTrWr18PV1dXrFu3Dra2thg2bBiePXuGsrIy7Nu3D1lZWUhMTMSRI0d01kIXu++0adNQUlLC216mpqbYuXMnVq1apdXOEokEkydPxv3791FSUoKVK1fi/v37uHr1Ki5evAgAUCgUrF/VsXv3brRq1QrVq1fHvn37BAlo8/LysHnzZuTl5WHlypWwtbXF8ePHce3aNQQGBgIAk2EcJBKJYB+amZnh06dPWLZsGc6cOYOAgADo6elpnL9s2TLY2dnh/v37cHBwwIkTJ7B27VoAqtr+CoUCAwcOxMOHD9n4vXLlCt69e4evX78iMjJSow7z2bNnsXv3bhgaGqKwsBAAMHv2bLRs2RINGjSAlZUVdu3axe4vNH7y8vI05kuXLl1w+PBhxjHx/ft3tkbIZDJ8/foV5ubmmDdvHmrWrCnYHgUFBQgKChJd29TftfxcXbBgAVJSUlClShWEhYVh+vTpePPmDSQSCSPymThxIlq1aoXVq1ejuLgYy5Ytw8qVK0XXLe6dhebxH3/8gWvXrsHS0hInTpzAzp07AQDv37+HUqlERkYGwsLCtO4dEhKCQ4cOoUaNGujbty9GjRqFPXv24Pz584x88d27d4Iy7+vXr4Lfffz4EVeuXIGvry++fv2K7t27IycnB9bW1tixYweePXvG21ZJSUmwt7fH2bNnUbt2bQwfPhw9e/bEpk2b8OTJEyavxdaIsrIy1i9OTk64e/cu/P398eHDBxQVFfHOL6lUikqVKmHDhg1YsGCB4HpqamqKJ0+eoGrVqhrnFxQU8K7hHLy9vQVlWqVKlZCdnY1Pnz5pzP+BAweymtjVqlXDunXr0KJFC5w+fRpz5swBoOJrUSgUgm3p6OjIO0cXLVoELy8vJCcnw8fHB1FRURgzZgzu3LmDffv2oU6dOlixYgWaNWvGqyOcPHkSALBixQrBdwaAIUOGCI5brk/Lt2V4eDi2b98OQHO+fPv2DYsWLQIAjB49WvCejo6O6NatG0aMGAGJRIK///4b165dw9ixYzFt2jRMmDCBl1hr3Lhx6NOnDwBg3rx56N27NwYPHowqVaowkmWxeRgREYFZs2bxPlO7du1Ex/StW7cE+9DV1RXPnz8HoL3e1qhRQ7QPAZW+ITYfWrRogXHjxuH+/fvw9/fXWgeaNWuG1NRU3rqoYu0RHh4OX19fuLu7M64Ddbx79w7t27dH9+7dUaVKFbx9+xbNmzcHoOKXICJRvaisrExQBhAR3rx5o/W8lSpV0qkznzx5ko0zdXz9+hWlpaWQSqW8ay2gqrl8+fJlLT1kz549qFGjBtLT07XaAVDpWqWlpYiLixPkWnjy5Iloe1hYWMDS0lLr2vPnz0fz5s1F9RMxPVDsvvPnzxeUaw4ODvDw8BAc135+fggODubt/+bNm+PkyZOsbnpYWBhevHiBunXrsprVYrrN58+fUVhYiNevX0OpVGoQdlakPcr3uxAXSHnoso2rVauGFStWYMOGDQBU4+bz58+YMWMGjI2NRfWA8rWSy+Po0aOYP38+9uzZA6VSiYCAAJw5cwZhYWHIzMzEtGnTcP36dd45LrbOExEGDhyITZs2sXrZN27cwKBBg9C6dWucOXOGV774+voiJSUFAARlk9h9BwwYAAMDA0FuJF1yT8j25WrW+/r6anCNFRQUML4MXRxFhoaGgn6II0eOCMqlrKwsREZGCspTMf9GmzZtBN8pPT0dgIq7ICwsDKGhobykxkLcGMbGxujXrx+WLl2qoSeMGzcO3bp1E13nvb29RWXqv1kz9+zZA0tLS51+FaFx6ebmJjpmu3XrJmqDPHz4EEOHDsXXr19BRPjrr7+wY8cOLFiwAC4uLmxclF8H7O3tMX36dFy6dInX9gFUvBnluZVu376NW7duQalUatWfz87O1vi/l5cXbz8EBATg9OnT8Pf3R6dOnTBixAicO3cOp0+fZoTVnC+kPNasWYMDBw7gxo0bWjpTq1at0LBhQ/Zbzt9z4sQJjBs3jvd6PyGA/7e89z/x/104ceIE7d27l4hUdfW8vb1JIpGQtbU1nT17lvz9/QWj35ycnOiXX36hbdu2EZFmxE/NmjXJ09NT8LpERHZ2doI70HK5nGbOnElEqnQgpVJJTZo0IXNzc4qJiaFatWrxRvT4+/uzOmd856mjrKyMysrKtNpELNLIysqKXU8mk1HlypVZRMvnz5/p2LFjghE7BQUFLCKtXbt2NHnyZBZ1OGHCBLbruXPnTpLL5eTp6Un6+vosGnHWrFmCUeVTp06lDRs20OjRo2n06NH0+++/U1FRkcb9P336RJ8+fRIfEP8DrgYiEdG3b9/owYMHGqnaHN68eUMRERFsF5Tb9ezbty+NHj1aNFJVX19fsJ0NDAxE+z8xMZFCQ0PJwcGBtfXy5cvZjrPQ+OAirHWNazGIXVsul/NGhJ48eZIsLCyoX79+gu/l7OxMGzZsICKiMWPGkKenJ82dO5eCgoKocePGOnen58+fT9bW1tSnTx9aunQpS19euXIleXt7885T9cg8IlVdw5s3b9Lr16/ZZ7rSEsXmi4mJCW3evJmIiFJTU8na2ppFOu7cuZMuXbpETZo0IRsbG1IqlRQaGqoVRXHv3j06fvy4RvTKwYMHdUYECrVXgwYNWIkLvnbOzc2l/v37U3BwMPn4+FCPHj00Is979epF1apVo+vXrzMZcu3aNfLz86M+ffqIjp0LFy6wPtfX12fzZcGCBaz2vhCEZG2zZs3IxMREtKwSkSod2MzMjKpWrUrOzs709etXIiLatGkT1a5dm5YtW6YR8eXk5EQrVqyglJQU6tGjBwUFBVFQUBD16NFDIwOkPN6+fashV8XGj4GBAe984dLw1dcIZ2dn1g9paWkklUpFx7Sutc3NzU1wrpqYmLDIs5cvX7I2DgoKYlFlRKoyXnv37mXRSmLzm1t/xOaxgYGBzkwpvnuXlpZqyOcdO3bQ8OHDydbWlqXVi8k8uVwuKg+Li4tp69atNG7cOBo8eLDG+pKSklKhtuLeMS4ujg4dOsQ+E1sjzMzMWFm42bNnk42NDfXv359cXFxYZDcfOnbsyMp2CK2nw4cPp0qVKtHOnTvpyZMn9OTJEwoODiZHR0caMWKEFucEd9SsWZOCgoKIiF+m6cL58+cFo9XDw8MF2zItLU1wjubm5rIx+PnzZ/r111/J39+f2rdvz9bHwsJCnTqCGMTGrb6+vlZb7tixgypVqsSiTYn+d8zWqlWL3r9/T0QkGhkXFhZGlStXZrVgJRIJGRgYsJIWFYmw/zfvw0V7iXGQcCg/pn9kPqivt3l5eTr7sFu3bqLzQSy6VSqV0saNG8nZ2ZlmzJihFRFqZWUl2B4ymYyqVKlCCxcu5C2PQET0/ft3wQxBa2trUb1ITAa4uLhQ3bp16fz58/TmzRtWtmfkyJE0bdo0IhKe487OzrR06VKtvl+6dCkv14c6Dhw4QGZmZrRw4UIyNDSkJUuWUP/+/UlfX59OnTpFrVu3poYNG9KzZ8/YOU+fPqWgoCDS09PT4gewsrJikZ1ia4+FhQUlJSVRx44dectE8OknEyZMYLqemB5oZWUleF9DQ0NRXU3XuBbr/99//50uX75Ma9asoUWLFrHsEg5iuo26fsoHXfra58+fRblA+GrPu7m5kZ2dnaj+UFBQQL6+vuTj40NyuZzq1KlDVlZW5O3tTd27d9epB/xb6OKYEVvnHRwcqHXr1iSRSFipPqlUSm3btqUPHz4IyhdHR0eKiIhg7cknm8TuK5PJaOjQofTixQut96mI3BOzfceOHUuTJ0+m9u3bU/v27WnKlCkac7I8RxGHZ8+ekYGBgagfQiqVimZaislTXRH2Yu8UERFBv/zyCxkZGZFCoaDQ0FCaMmUKnTp1igoLC0XLqvTq1YtiY2NZ30qlUlIoFDRy5Eim8wtBlx9CbM2USqUaHAuBgYFkb29PMpmM1q9fr9OvIjQu8/PzRccsH8rbIFu3biVPT08NvYnjhxJDamqqqO3TuXNnrSxNrqY51Oqfq9dBVz/EqgBwY7i0tJQWLFhArVq1otGjR9O7d+9En7msrIzmzp2rURJVXWfiA1dy5ycqjp9O9J8QhLoAWrZsGSOUOH36NBkYGJBCoSCpVMocLBU1GMoLtjZt2gg6DSMiInidAvHx8fTt2zdKSkriVfgUCgVTxvjOI1Kltfj5+ZFCoSCFQkH+/v4apHwVcWgnJyfzKoSvXr1iaVHGxsa8JCYVAZ+zoaysTNCI5tsM+E+Qk5NDSqWSYmJiSCaTMdIMIlWqHLcA9urVi5o1a0YFBQUaqUMnTpwgX19fUUdWly5dBNt5/Pjxgv0fHx9P1tbWNHfuXI2aiJs3b2aOJqHxwRkEYuN6xowZorXixa7dqFEjUeVZyNkVHx9PmZmZosqkLgNaTLl2dHSs8DwtD11piRWZLxz4nPRCECMbk0qlOu/7nxgEYnj//r2WUgeAWrZsSR8+fBAl2nVwcGDPpD5fbty4obF5U1BQwEqvcPgRWSuEP//8k5YtW6Zx7S1btmgQ1PzIZtuHDx80asNzePv2LX38+JGIxMdPvXr1ROeL+hoxePBgqlGjBs2fP5+qV69OISEhP9we6mtQRRzePwqx+c2tP7rmcUpKCu3bt49xPRCpNjW5tHU+cCm25fHhwwdWH1FM5rVt21bwu+HDh/NuoBYXF9PFixd/pHl4IbZG7N+/X9SYKD+/Ro4cSV26dCFjY2NWg56Ifz399u2blrEplUppyJAh9PXrV4qOjhY9OJSXabqIcolUxL7ljaFHjx7xGvt8+JE5+iMoKSmhPXv20Jw5c2jOnDm0b98+KikpISLxcdumTZt/bbhXBFevXmU1m9XnxZ07d8jR0ZGsrKwoIiKCIiIiyMrKipycnFiZLiHomof/pv7r/9N4+/btvzauifhTwNUNfKH2kMlkFV5j+KBL1orJAD6STj6iTr45vnnzZpLJZNSyZUs2plu2bElyuZzpcGIQ2+R/8uQJBQYGkp6eHrm7u5O7uzvp6emRkZERderUSZDYryLtERgYSCYmJmRsbEx+fn6CcoSDLgJ47jA2Nq7wmvcjutp/CnXdxt/fnyIiIsjExISUSiVVrVpV6/2F2oEPYrW669Spw1t7njvKo7wNW1xcTElJSVqbyxXRAz5//kxHjx6ltWvXamx0cOvwv4Uum51IVVbm0KFDdOjQIY26z/+JfBG7r0Kh0MnZI4Z/Y/tybVmeo2jlypW0bNkyatu2LQUGBor6IQIDA0U3UnTJU7GgqIq8U3FxMV29epUWLFhAzZo1Iz09Peaz0FVWpbCwkG7fvk23b9/W2oyryOYwkbZMFVszq1atyjjgZs6cSbNnz6a1a9eyUlwVsROFxiXX/kLfceCzm9RRWFjIq2Pl5OTQiRMnWFBBRf0pfBtp5ubm5O7uTqmpqVolSJOTk9mxfv168vDwoHXr1rF65uvWraMqVaqwjRtdSExMpHr16vEGE3779o3u3bunpTPxgSu58xMVh4Tof3KLf+L/anz8+BGlpaVaqYPv3r2DXC7XSnV7/Pgxbt68CU9PTwQEBPxH93748CE+f/6MgIAAFBYWYsyYMbh69SqqVKmCZcuW6SznoI6ioiI8ePAAzs7OsLa2FvzdsmXLMG3aNAwbNoyl6CQnJ2PNmjWYO3euRkkQDteuXcO1a9fg5uaGTp06IT09HX5+frzXb9KkCZ48eYJ+/frBzs6OpYYCqhIjnp6eePXqlVY6X+/evSv8rgBYqQSlUqnzt9+/f+dN+wKACxcuaPyfiPD8+XPMnDkTZ8+ehYuLC1asWIHIyEjcvn0b7u7uOHjwIGbOnIm0tDTY29vj5MmTqF69OkxMTJCRkcFKJQQEBODz589az/Pu3TtYWFhotA3wv+1cpUoVtGrVSvB9fH19MX/+fLRt21bjnnfv3kV4eDhv6q+u8aE+rgMDA7WeTR3l07fUr21paYmysjLI5aqKWTt37mRj+tdff4W+vr7gdXWBK63h6OiIsrIyLF68mF176tSpguVDymP06NGYM2cOjIyMRFPpAdV8MTExQXp6Ojw8PGBhYYHk5GRUq1YNGRkZaNOmDfLz8zXOqWg/6kKrVq0gk8mwceNGuLm54a+//sLbt28xZswYLF26FA0aNBC9779pr7CwMPTr1w+dOnXinVtEhIKCAtjY2ODZs2csXXvevHk4ceIEzM3N0ahRI8F3unz5MnJycuDm5qYxdvPz8+Ht7Y0pU6YgLi6OzRsTExOMGTMGU6ZMYenO/yfx6dMn3s8lEgkUCgXatGmDVq1aYciQIRrfr1u3DocOHcKxY8dEx0/r1q2Rl5cnOF+ePn3K1oh//vkHo0ePxvXr1+Ht7Y1ly5bB2dn5X79bWVlZheZqfHw8Bg4cCAMDA8THx4teMzY2Vud9KzouORWNk0UWFhY4c+YMatasqXG9lStXYtq0aXjy5An++uuvCq8vYmu5+nc1atQQTYcuLw/LIycnB+fPn+d9runTpwu2Ed8aUR7l55pUKoWNjQ0iIiIQExPD+lYMRUVFyMvLAwB4eHiwsiv/BvHx8ZgyZQqio6OxYcMG9O3bF3l5eUhJScHQoUNZ+YL/t3D//n1ePaB169bIzc1FVFQUnj17Bm9vbwBAVlYWKleujKNHj8LCwkLnuC0qKsLs2bPRsWNH+Pr6YuPGjaLPU5H5Aqh0mOPHj6NNmzZa3xUVFWHbtm2YOnUqOnbsiBo1amDVqlWQyWSC17t165bOeRgWFoZff/0VQ4cOhVKpRHp6Ory8vBAZGQkLCwt0796d99rlS+Spo0OHDggJCcGECRM0Pl+8eDFOnjyJ+fPns3J/HG7cuAGZTIZatWqJNdF/DLH2OHPmDNavX8/KKwghKSkJ69evx8OHD3Ht2jWmP7q4uKBVq1Y/pBdxMuDSpUui9wwLCxP9/saNG4iPj2drtY+PD2JjYyGTyQT14n379olekwMR4cyZM3jw4AG7dqtWrZCWlqZV2uj+/fuoVasWioqKdK49CxYsYOd9/fpV675cacbyECpNwqGia95/Aj4Zk5GRgRs3bmj0wciRI9GkSROt82fNmoVx48bB0NBQsKQSh9mzZ+tcm5ydnZGYmIjw8HCYmpri1q1b8PT0RFJSEmJiYnDhwgVmC/6fQlpaGqKiolBUVITCwkKUlZWBiGBkZIQvX76wsj984MqkANo6Ah/+Wzb7hw8fsGfPHuTl5WHcuHGwtLTErVu3YGdnx0peCt03Li4ODRo0QP/+/f/1/Tlw5WZMTEy0ymVwkEgkiIqKgkwmw5MnT1CpUiWN9UBfXx+urq6YPXs2bGxsfsgPUVHd5Ef8G+rvpI7s7GxcuHAB58+fx8WLF/Ht2zc0bNgQp06dwr179+Dq6gorKytcuHAB/v7+yMzMREREBCsZxoedO3eid+/eaNasGU6dOoWmTZsiOzsbL1++RLt27bB582bBc/9bNijw37MTy8rKMHfu3H9lN719+xadO3fG+fPnIZFIkJOTA3d3d8TExOD79++YMGECK0Fz8OBBbN68Gb6+vpg5cyaTlSUlJdi5cydu376Nz58/IygoCD169NDpmwkJCcHMmTMRFRWl8fmxY8cwbdo0pKSkIDc3l1dvbtiwIdauXYvp06dj5MiRmDdvHu7evQt3d3ds2bIFCQkJOH/+fIXbcPHixfjtt9+0bPmfEMZPJ/pPAFDVq9PlBPn48aPoos6hffv22LJlC0xNTdG+fXvR3/Ipqbdv34afnx+kUqng4shBTBn48OGDoDNhxowZmDVrlpZTISEhATNnzhSsM8XB3d0d+/fvZ3VFy8PQ0BDXrl3T+v7w4cPo0aMHPn/+DFNTU0gkEhQXF7PvubqhQihvmJVfGCQSCVOouH+lUilTzISM+gULFmgpA0SEypUr49u3bzhw4ADq1Kmj4fDLzc1FUFAQPn36BBMTE9y6dQtVqlTR+E1qaiqaNWuGNm3aYOXKlVrKQWFhIYYPH87qkwIV7/+QkBBkZWXBxcVF4545OTkICAjAly9fRNtSFzIyMjT+X75OvK6xXR7/rXH930KjRo2wf/9+nQ5fiUSCc+fOwd7eHufPn4ePjw98fX2xcOFCtG7dGhkZGQgNDdXaKBFz0v/2228a/xdzWEmlUpw7dw4BAQEwMzPDX3/9BW9vb5w7dw5jxoxBWlrav3j7/8X379+1ZMSsWbNw+PBhfPv2DZ07d0a/fv00HAdlZWUwMDDAvXv3tGoZVgSVKlXC7t27Ua9ePY2xu3//fsTExEBPTw+zZs3S2OCbOXMmBgwYoNMBJ1QjEfhfeVtYWIiLFy/y/sbR0VHrfK6NxRTRX3/9FatXr9b4zYMHDxAaGoq3b9/+8Pj5T/CfrEFBQUE4e/YsLCwsUKNGDSYX7927B29vb8jlcty7dw+Aqq04fP/+ndV0PXDggOg9KzK/ExMTsWTJEuTk5ABQ1U0cN24cvn37hsmTJ+PSpUvMQRMXF4fZs2dj0qRJmD9/vsb6wkEikeDly5eIjIzEunXrfnjcSqVSvHz5EjY2NhqfZ2dno1atWsjJycHYsWNx9uxZvHr1CuqqJRFBKpXC2toa9vb2Ws9169YtnfcvLS3F/v37mQPG19cXbdq0gUwmYxtaSqUShw4dQvPmzaGnp4dDhw6JXrN169Y6Awj09PRARDA0NMTo0aMxYMAAnDx5krdOMoctW7ZgzZo16Natm8b8nj59Ot69e4fVq1cDUNUJ5eba7du34enpCblcjgcPHmg539QxefJk3jl++/ZtLQdaSUkJ5HI5lEolnJyc8Pz5czx79kxDV+D6o7S0FFFRUSAibNu2jbXJ27dv0bNnT0ilUhw9elTwuWJiYtg67+bmhtTUVFhZWcHV1RVv377V2rjmHBH5+fmiG7klJSWoXLmy4CaM+vj5EefbjBkzRL8HACMjI+aokEgkOH/+PMLDw5lexedE4WqQCs2HsrIy3L59mxnmHO7cuYOgoCDs2LEDHTt21Phu3759WLRoEW7cuAFA1VcHDhzQqLfdunVr5iS6ePEili5dqjFfxo0bp7Xp/CM4deoUZs2ahXnz5vHWYTY1Nf2vGvVC0DWv1SG2mVERR1JMTAzCwsJYbX0Onz59wsiRIzV0V3XY2dkhKSkJTZs21fj85MmT6N27N16+fFnhdwBU8leXw44D34ZmaWkp7ty5AxcXF1EnV2lpKbZs2cLGbVlZGauDDUDnurFnzx5Wo1pdxgCqdaBr166sbvX169exZ88eLF++HEOHDq3Qu/FBKpXixYsXWk70v//+Gx4eHqwO9f379+Hs7IxKlSph3759CAkJwaNHj+Dh4YF79+7Bx8cHwI/pD6mpqQgPD0dYWBgaNWr0Q3pMbGwsvLy8sG7dOpiZmWH69Olo164d+vXrh4CAANENsz59+gjqCL169cLDhw95a3QD/PwT3759g4GBAQwMDODk5ISoqCitNfHu3bto06YNzM3NkZ+fj6ysLLi7u2Pq1Kl48uQJEhMTRd933rx5WLFiBVq0aAF/f39Mnz4dU6ZMgbGxMSZOnMhb85uD+qZBeajPDb4NBT09PZibmyMtLQ0ODg6iz/h/GhEREdi3bx/Mzc01Pv/06ROqVKkCuVzOnOZhYWEIDw9HQEAAJBIJKlWqhOPHj8Pf3x8BAQGYNGkSunXrhmvXriEyMpLV7ebT83Nzc9nmsImJCeLi4hAdHY1hw4bh06dPgpvDgLhMVcePcA8AwrwoEokEBgYGLDjt7du3WtdVKBTYtGmToN0UGxsruh43a9YMGzduhI+PD9PXTp48ibZt22Lr1q3o0KEDHj58CF9fX7Rv3x4pKSlo0aKFTg4ZdfBtLHIBmZzs4ZCZmYnAwEA4OTnh8ePHKO+q5bjm1IMJ5XI5GjduDCMjI3z69AmXL19mtevVce7cOQ3ZQER48eIFXr9+jd9++w0DBw6s8Dv9346fxKI/AUAVpbFs2TKtzxs1aoQhQ4bAy8sLjx8/hpeXFwYMGAAAWLJkCYYNGwZLS0ssXryYOUgfP36MBg0aQCaT4fHjxwDEhW5KSgrKyspY5E1gYCBevHiBR48eoW7duryKGAe+iHFARY504sQJFBcX8zoTioqKGNmGOr58+YK///4bgLii3qJFC0yePBlJSUm8xD9Vq1bldeKOGTMGMTExmD9/PnMcqjud2rZtq/W+3DMDKgVX3bHDERACql3s58+fo06dOhg5ciTs7e3RunVrODk54cWLF1i8eDG6deuGLVu2YPz48RpGfXnDhovk8/T0hKmpqZZyCoCRiQBAgwYNkJiYyMjRJBIJ26Fu1KgREhISsHDhQjZGOEfHly9fkJCQgLZt22q0wZYtW2Bubi7YHoBqHKSnp2s5Mk6cOMEWJD6DQB1+fn7w9PTUioRbvXo1cnNztRbI7du3Y+7cuYiPj0dycrLGd69fv4a1tTUkEglev36tRdARGBiIs2fPwsrKikW5l9/w4D4rb+SoG+t8u8STJ0/GlClTYGRkhJkzZ2p8t23bNnTo0AEGBgbYunUrKlWqxL6LiIjQ+K2YM6tOnTpaxD+7d+/G/fv3UadOHa35cvr0adSqVQvGxsY4ffq0hgPFzc1N47cTJ04UvO/IkSO1SH2ysrLg5eWFrKws3nlaVFTE5ld4eDjvdXNzczFs2DDmlODAtfW3b99w6NAhJCQkoGHDhvD09ERMTAx69eoFOzs7Rpz1b5zoXbt2xYQJE/Dnn3+yuXLlyhWMHTsWJSUlSEhI0JCZ0dHRWL58OcaPH49jx44JGtPv37/Hs2fPBJ0CgHb0k0wmw/fv32FkZASFQoHv378jOjoaBw8eZJttSqUScrkcI0aMYKQ+f/31FxISEjB16lQMGzaMja3Jkyez5ykuLmZysPz4GTZsGDIyMnDgwAFUq1ZNdGNJ3en8+fNnhIaG4tChQ7CwsED9+vW1Io3V1yC+jU71KKLy961Tpw6ys7OhVCoZCTAAjehX7m91J5y6Ic8ZdeXlFudMLi0tFYzuB1TyZ968eVqZUoMGDcLcuXMxduxYNGnSBMnJydi1axfmz5+PY8eOoW/fvlrrS3mUf19dEfabNm1if0dHRzOyPkAlX2/fvo169eohOjoaT548wbRp0+Dg4KAxRgcMGIAxY8ZoRd5yzgrubyF8+vQJjx49wosXL1h09KJFi2BjY4ODBw+iVq1abEOrbdu2rB/U15Xy4IyQrl278gYQ7N69G4cOHUJJSQnat2+PQYMGISUlBUlJSTAwMGAOGr7ou48fP4oSBq5evVojWv3gwYPw9/dnEZK1atVixFGASoYHBwfDy8sL169fR9++fbXmaEpKCho1aoS0tDQ0b96czdPly5fj6dOnGDt2LNatW4e///4bS5cuxYwZM7SyegCV8/X69esaeo2enh4WLlyI0NBQ0XGrvs6rByKkpqbC3t5eKzihUaNGWLp0KcrKykQ3QzMzM1FaWoqOHTsiJCREUP7dv38ftWvXxpkzZwAANWrUAKCtf3769IkZ82LvA2iSePr7+7PovitXriAyMpIRo5VH8+bNBedD586deaN99fT0UFJSgqCgIK3vatSogfv37wNQrV0tWrTA06dP2XxYsGAByxa4du0a+vbti/bt2zPd5sqVK2jcuDG2bNmC7t27azjZy8rK4Ofnh3HjxgkGhgBAZGQkAGiMTeB/18zS0lKsWrUKv//+O9q2bYuFCxey39SqVQtjx47VCm6Jj4/HgAEDoFQqdW4+7tu3D0VFRaLzWh3cM6lD3bEzd+5cLFiwAGPGjIGJiQlWrlwJNzc3/Prrr8zZtmXLFuzatQs3b97EihUrmL7O6a7Gxsa8OqSPjw86dOiAjRs38hL7AdAZXa9O/qauo+fn52PixImIjo7WIFJMSEhg0esjR46Ev78/+vXrh9LSUtSsWRMZGRkwMjLCypUrERwczHvP+fPn48iRI2jRogX8/PwgkUg0bBluDAhhxIgRcHNzw9mzZzUyByMiIjBkyBANnTo2NhaXL1/G3LlzMXToUA3bhg/l9VNuvZJIJNi4caMG2WhpaanGRrO7uzsePXoEZ2dnVK1aFbt370ZISAgOHz4Mc3NzTJ8+HQkJCTA0NISZmRl7Dl2BY/Pnz8elS5ewaNEiDBgwQHBjrTwkEglMTEywfv16SKVSyGQytGzZEp6enli8eDH69OmDVatWCZ4vlE09aNAgvHnzBmPGjGEZlR07dtRwUKelpeHWrVsoLS1l8uPWrVswMTGBr68v04nLB01w9tPr1681AqK4oAwAoll6y5Ytg6mpKS5evIiLFy/C0NAQGzZsgEQigZGREVuDxKC+8czNY1dXV/z9999Ys2aNhn4aFxeHGTNmoKSkBBMnTkRcXFyF7gGI6yOAysfg6uoKmUwmaGNwEMu0unDhgpZDGFDJqVevXsHGxgb9+/dHREQE6tevr6HXNWzYUIN4MiYmBrt370ZaWhq8vb1Rr149QVugPDnooEGD0LZtW4waNQq+vr6MNJMDN64lEgnev38v+D6FhYWYN28edu/ejbdv37JzAdWY379/v+C5p0+fxpMnT9i4fPnyJd6/fw89PT04ODjgwYMHkEqlkEql8PPzQ35+PogIQUFBePDgATZu3Kix1gcEBMDJyQlDhgzBrVu3BNfj6OhoLFq0SMM2BlQbhl+/fmV+lj///BNhYWHYvn07rly5gq5du2LFihU6N4/q16/Pu7HI2X4LFizAxo0bmU7w/ft3LFiwgGWeHT16VOuZOTx69IjpOZxM4ebm9+/fkZqayjbjbt68iQ8fPsDd3V3DnuH8PeHh4aLBGz/Bg/9HisT8xP/PwdDQUIOEhcPt27dJIpFQ5cqVSalUEgCytLQkS0tLAkCGhoZkZ2dHAMjCwoJGjRqlUQ+LO8QQHBxMf/75J/t/fn4+lZWV0d69e6l69epa9aTq1KnDjvDwcDI1NSVDQ0NWH8/IyIikUilVqlSJl5CHiKhatWqsLpc6JBIJVa1alf0tVufM2NiYFAoFeXl5adXoO3nyJNWrV0+LBMnQ0FC0puTp06cpKCiITpw4wc45ceIE1apVi06dOkVERBMnTiQzMzOqX78+Iwdr0KABSaVS6tixI/3yyy8klUrpl19+oUmTJtGlS5dIIpGwWlk2NjbsGbKzs8nS0lK0fxo0aMDq8HKkGUSqmujNmjUjIlVNUltbW4qMjCR9fX3q2LEj+fj4kI2NDaWlpZFEIqHc3Fz2ThKJhLKysighIUGLeAPlyDjK9z93LFy4kJycnGjnzp1kZGREO3bsYEQaO3bsICKioUOHkpGREXXu3JlGjBhBI0eO1DgcHR0pNTVV651v3bpFlpaWNH36dAoMDKSFCxcSkYr87ObNm2RoaKhFfgaA6tWrx/5Wr9+t/l5SqVTrXZYuXUpZWVmUn59PS5Ys0SLskkgkFB8fz/4uXxdU/drln8vV1ZUaNGjA/uabn+rzlCOEKw8+4h8AFBUVRfn5+TrJzP4t+MjGJBIJderUiapVqyY4P9X7gI+0hfvNsWPHKC0tjdLT0zUOdbx8+ZLmzJlDBgYGpKenR23atKE5c+ZQ/fr16c6dO4LPLlRzsE2bNtS/f3+Sy+UkkUhIT0+PpFIp9ezZkxQKBWVlZWlcZ+bMmZSWlsaIdoUOW1tbnTUSw8LCaMCAAVRaWkrGxsZ06tQpcnZ2poYNG5KjoyMjCVKv1e7q6kpNmzbVer9du3ZRREQEhYeHU5MmTcjb21vj+yFDhlD9+vWJSHv8ACAfHx9q3769Vr378mPn4cOHFBUVRYaGhry/0zWmy0OiRjKl694VBbducX/zHVKplMkboXHJjd+EhASte2zZsoVcXV2JiGj8+PFkZWVF5ubmdO3aNSJSreNcnwlh5MiRGhwFrq6u9ObNG/Y3X/1cY2NjAkBdunTRqAc+cOBAmj9/Pr1+/ZqMjY0pLS2N954mJia8zxUdHc1qeovVHbexsaFWrVpp1GN99+4dtW7dmurWrUu+vr6sDX4UFhYWjPhLHZmZmWRpaUlWVlasrvbvv/9OAQEBVFpaSrt372a6QnnoIgwkIvL29uada9OmTdOo4849i7u7u87z3N3dae3atRrnXrlyhVxcXKh9+/ZkZWVFEyZMID8/PzI1NaUHDx4QEdHZs2cpMDCQtceVK1c0riGVSunw4cNkYWEhWJeak6fq6/zHjx/p3bt3lJCQQA4ODux6JSUllJaWRu/evSOpVKpRn7Rz585axHOmpqaUnJys8Vlqaiqbb7p4M759+0YFBQWMz0QqlTJyR7F5KJVKddZMF4LYfAgODqZZs2ZpfT5jxgySyWR09epVre+uXLlC5ubmRETUvHlzioyM1OChePPmDUVGRlJUVBRVrVqVli1bpnWNuLg4qlq1KiUlJZFcLqfOnTvTypUrSSKRUOvWrUlPT0+0PSQSCV24cEHwICIyMDBguqb6+MzOziY9PT0yMTEhiURCZmZmZG5uTvr6+mRmZkYWFhaiMqBr167UokULQRI2MRQWFvKSSnJ6JhGRpaUls4Hu379P9vb2RKQaH+fPnycPDw9q0qQJk0EvXrwgqVQqqENev36djIyMRPkBhNYc7igpKaElS5ZQcHAw2dnZMU4luVxORkZGWvfctm0bhYWFEZGKMDclJYWIiPbv308A6OrVqzR16lRe/VRddzp69Khoe4rBysqKrfPqMsbAwIB8fHy0fj98+HBG/qy+bhsYGGgd5bml1Mdm5cqVNdYtLy8vatq0KSMxFKvV7eTk9EO154Xw999/U3x8PLVp04ZkMpmo/ZKfn0/W1taUnZ1NRERVqlShvXv30sePHyklJYWUSqWGHC1/uLq6iuoIaWlpFBsbSzY2NmRmZkYDBw5kbbF8+XJq374946shUvGttG/fnlasWEEnTpyg0NBQqlWrlsb8NjIyYlxj6nO7UqVKpK+vT0S6CU9/FC1atKAjR44Qkaq+ubGxMQ0bNoz09fXp119/pSZNmpBMJqOuXbtqnduuXTtG/t2qVSsyMzPT4E5RKBQ0aNAgGjVqFJmbm2uMLY7niDtMTU2pcuXKTIeXyWRkbGxM0dHRWu9ZXjaVH7cWFhZkYmLCZOH58+dZPeyMjAy6desWzZ8/nypVqkQHDx6kUaNGUVBQECmVSqpbty5NmjSJTp48qVW7vl+/fmRkZESjR48mX19fUVugIoTa6lBfp3XpruW5ByQSCTk4ONDWrVtF7USJRKIxLjdu3Ei+vr7UsWNHcnZ2pkmTJrG5VZ6Ti89uIiJ68OABGRgYiK7HxsbGbB6qj+uUlBQCwL5r0qQJ4xN4/PgxGRgYEBGRubm5xsGReSoUCrKwsKCWLVtSmzZtmJ58//59unz5MoWEhNC6devI1taWbGxsqHHjxtS4cWOysbEhW1tbMjAwEKz7zsHHx4dxWak/e+PGjcnKyopx2RCp9K6BAwfS2LFjRa/5ExXHTyf6TxCRyjk4bNgwrc85J8j27dupdu3a1LFjR/ZdTk4ORURE0M6dO6mgoIBCQ0OpQ4cOP3xvIyMjXgP74cOHZGxsLHpuXFwcr3Etk8lo0qRJguft2bOHZDIZNWvWjGbPnk2zZ8+mZs2akVwup3379ul8ZjGnzcyZMwVJkNSVdj5Uq1aNLl++rPX5pUuXmMHev39/mj17ttZv5HI5tW/fnoiIpk+fTjKZjDZt2kQZGRkkkUh4jfpNmzZpEUmcOXOGwsPDKTg4mObNm0eXL18mY2NjGjRoEBkYGNCIESMYY7i68fDhwweaO3cuderUiZo3b05TpkwRXGy5QyaT0dy5c3nb4vv379S3b1/mtOeDLrZtKysrUYNAoVDwLlI5OTkEgP744w/6/fffydDQkD58+ECZmZnUpUsXql69utY5FXGicceP4sKFC4ygSMyI5QzZH0VxcTFNnTqVTE1NWd+YmprSlClT6Pv37//qmuooTzzJKUlv376lgoICUWNBjGzszJkzvPerSHsZGBjwGiHlcePGDRo0aBCZm5uTs7MzTZ8+nfr160cASCaTMTLZ8kpyRQjpHj9+TEePHqVdu3YxRS0kJISGDx+u9RzDhg2j2rVriz6roaEhPXr0iIiEnQJmZmbMsDUzM6NOnTrRpEmT6Pr164KbbQqFgszMzLTul52dTUqlkpKTk5lBysnABg0akIGBAV26dIn3WX9kvtSrV4/q1q1LO3fupPPnz//HY76i9+7SpQudP3+eiEiUKLb8IYSKzmM9PT0NucQRYU2dOpVkMhn7f+XKlalHjx7s/wEBAbRr1y7Rdx82bBiZmppSzZo1aeDAgRV69rKyMoqOjhYlJvLx8WFrTHnExMRoOXd/BAYGBrwEkXfu3CEDAwM6dOiQzg0tIYgFECiVSlIqlfT48WMiIurUqZPGZqNSqWR/q288VoSsVqlUVnhje8CAAUyfETsPgNZ65uLiQtu3bycjIyMyNzen8+fPk6GhIbm7uzMSv9zcXPYuvXr1omrVqtH169eprKyMysrKaM2aNVStWjXq06cP73jVtc5LJBJq27YtEakMuXr16pFEImHGproTnW/DxcfHhznmOPTs2ZNt4gsZqf7+/hQQECCqh+laT4VI9gIDAxmxujpWrVpFI0aMEJ0Phw4dIrlcTr1792Yb5b169SK5XE7169ensLAw+vDhA/v9+/fvKSwsjDp16kREwmM2PT2dOW6F9BqFQqHlZOfkUlxcHDk7O/9H+oWQUR8fH08KhYJGjBghGNwihu7du1NoaCilpKSQkZERnTp1ipKSksjb25s52b58+cJ7rhCppEwmY30o5EjixuebN28oLCyMPD096f79+8yJLqZDKhQKUWK/Dx8+aByvX7+mU6dOUe3atenMmTM0bdo0cnBwoKVLl5KBgQHNmTOH6R5TpkzRumdWVhabxwqFgpHrDRgwgPr27UtlZWX08OFDMjIyElzzbG1teZ1RFYW5uTnT2dVlTKtWrUgul2v9fsmSJdSlSxetz8sHkogd4eHhFSLUVcejR49o7969lJGRodOe04XCwkI6efIkTZo0ierUqUMKhYICAwNp5MiRouf98ssvzCndv39/JpfUg0CENveExl12djYpFAr2/+LiYtq7dy+1atWK9PT0qFq1amRqasprZ969e5ccHR2JiOjmzZtkZWWl8b2NjQ2Taepz+9SpU1SpUiWd7aQLpaWllJWVRZcvX6aLFy/SxYsXKTExkT2T0AayXC6n7t27a10vJCSEtUWdOnW0goyqVq1KDRs2pEaNGomOr6ioKOrfv3+FHZLq58bFxZGFhQV17dqV6Wldu3ZlfS20mWVoaEibNm3SuG5OTg716dOH5HI578bh9OnTqX///kSk2xb40c3hiuqutra2TGc2MTFhYzQxMZGaN2+udV11ODo60r1799j/165dS23btqW7d++yQLybN2+SRCJh+mB6ejq5uLjotJvE1uPmzZvT1KlTieh/AwVLS0upU6dOZGNjQ71796bExEQNvfzChQvk4uIi+C7Z2dnUuHFjOnHihODGIhe88PnzZ1q/fj3TwTds2ECfP3+mRo0a0fHjx0Xb7Pfff+cNJoQaQTiH4uJiun37toZ++eLFC5o5cyaNGzeOVyb8hDh+OtF/goiIkpOTycDAgBo0aMDrBHF3d+fdxbt16xbbXb5y5QrZ29tTYGCgIIs63w6/paWlYOSNgYGB1kJCpHL+Lly4kBwdHXmN68aNG7OoHSGkpqZSjx49KCgoiIKCgqhHjx6CQvZHIbTAjBs3juzs7GjGjBm0Z88eOnjwoMZhYGDA6wjIyMhgu56mpqa8ylOtWrVIJpPRixcvKDMzk5RKJY0cOZKaNm1K9vb2vEa9np4ei0AjUm1cKJVKatq0KcXGxpKxsTEtX76ccnNzqX///hQcHEw+Pj7Uo0cPXiOOrx3Onz9PEomE9u3bp9EWV69eZcapEExNTUWd6ByE2LYdHBxEDYJq1arRqlWrtD6Pj4/XUGLVI3ecnZ15x+uPICEhQfAYPXo0nThxQuuckydP0rFjxyp8DzGm8fKReT179iRra2sthnB7e3saNGjQf/SuRESRkZG0Zs0a9n8uqmHt2rU6jQU+vH37tkLM6cXFxTRr1ixepvZatWoJKg0vX76kpUuXUrVq1UhfX586dOhAx48f17jn5MmTSV9fX1Dx9vf31xkVzgcu4sfHx4diYmIoJiaGfHx8yNjYWMMhXb4PHz9+TPb29jqjS8pHP5mamtKmTZsoMzNTcLPNyclJwzDjMGHCBPLy8iIi1YaWUqkkX19fqlmzJvXt25fd5z+FkZERUzzL48mTJxr9e+PGDRoxYgStX7+eiEhwPQoKCqJ69epR7969maFfHq1btyaFQkGVKlWiypUrU61atZgBxpcBZWpqSo0aNSIilRK9fv16mjNnDs2aNUvjEBuXRNqZUlyEk7m5Oenp6QlGellbW5Ozs7Pg+kJEWpkq5Q8+lJaWkp6enmh/njx5kpo2bcoMN3XMnz+frK2tqU+fPrR06VJmTHIHEdGcOXMEZX1AQACdPXtW6/OzZ8+Sn58fi2jl29AyNjamSZMmUb9+/ahv374aB9ceYgEE/v7+tHLlSnry5AmZmpoy2c9FmvJtPH79+pUZnEREO3bsoOHDh1N8fDx9+/aNiLSj1Q0NDdnzSiQSjXfgjGou+lIoyl0ikWhFIHfq1ImcnZ2pcuXKVL9+fVq+fDnZ2dmxrJ7k5GTq3bs3VatWjYhUDtvWrVuTRCJhUXhSqZTatm2r4dhVh6513t7eXiMq1tHRkbKyslhUrPrare4c4XDs2DGKjIzU2IC+cuUKBQcHE5Fw9Gu1atXIyMioQtlGPwqhCOSbN2+Sk5OT6HwgUkV+1qtXjwwNDcnKyooaNWpEFy5coKdPn5K7uzuZmZmxOWlubk7e3t5so4YvW4BIpcdbWFiQh4cHGxfqWLt2LXl6eup0sutCYWEhZWZmakRPcu0vZNQbGRmRQqEQzZQRkwH29vZ048YNIlI5Zzi9bt++feTs7EyOjo4sQpGIaOrUqSygonLlyryOnTp16rDgFCFHknoEZnFxMfXr14/MzMxow4YNJJVKRXVIvsjriuDChQsUFBRE7u7ubIPA2NiYcnNziYjI1taWNwtm3LhxbD12dnamkydPUklJCVWuXJld5+7du6K20dKlS2nIkCGC+pVQdDx38GUOJicnU2BgIEmlUoqKiqI5c+bQnDlzqEWLFmRubk5z5szRWA9SUlIoMTGREhMTeeeYLqhnuvwb/IgNW7duXTIwMKAaNWrQqFGj6MCBAxr3zc3NpWHDhrEo0+HDh7N+TElJYbrHy5cvKTg4mJRKJVWpUoU2btwo6qwUyqaeM2cO+fn5aX3+9etXWrZsGSkUCgJAenp61KtXL/r777/Zb86fP88C127dukUKhYLpoEuXLqWePXtS27Zt6fv378zZ+PjxY6pRowaNGDGCty1HjRpFnz9/Zn8LHV27diU3NzctpzK3oUAkvIHs4+ND+vr6bG0lUgVh9enTh9m3ycnJLIuvPIqLiykhIUErA4qDtbU1r/754MEDnZnc7du355UPs2bNol9++YUkEgmlpKRobGT9/fffVFJSQm/evKG9e/fS8OHDyd/fn2QyGVlZWVG7du1oxYoVWgFHZmZm9Oeff9KnT590RpoLbQ6PHj2a3r17R2fOnKEWLVqQu7s7ubu7U4sWLej06dOi70qk0tW5oAMnJycmsx8+fEiGhoYUEREhqEcaGRkxOU2kWudu3LjBdIv79+9TXl4eSaVSps9yG8e67Cax9Vgok97Ozo6OHDnCMvfUN9SGDRtG3bp1E22LlJQU8vb2FtxYVA9e4MO+ffvI19eXNm/eTKmpqbzrLRF/MKGhoSHbzOYQHR1NTZs2ZfL/06dPVLlyZbKxsaGAgACSy+X/URbS/434WRP9JwAAoaGhuHbtGpYsWYLdu3dDqVQiICAAmzZtQpUqVfD8+XOUlJRonGNhYYGysjJ8+vSJET58/PgRHz580Lq+WM3jpk2bYtKkSTh48CCrP/fhwwdMnjwZUqmUt0ZTtWrV0LVrV3z69AmvX78GoFnDvEaNGjh37hxmzpzJS4DUunVr1KxZE1u3btX4PD4+HmfPnq0QO31sbCxu3rypQezE1aYKCwvjPYcjcJw9e7bWdxKJBKGhoRg9ejSSkpJgZ2cHAHj58iXGjRvHar0ZGBjg6tWr8PT01Di/c+fOSEtLg7OzM+zs7PDt2zf89ttvqFKlCi5evMiIJIYOHQorKytcvXoVqampWLlyJbvGtm3b4OXlhZMnTwJQ1RRbtWoVRo4cid9//11nmxQVFWnUquNqe3O1CCUCtQLPnj3LW7fcxsYGBw4c4K19r07IYmhoyGrFffr0CW3btmXEkytXrsTq1at57z169GgMGzYMr1+/ZvXBz549i7i4OIwZM0aDLVwqlWL27NkwNjbGkiVLdLbFokWLBInQli9frvH/4uJiFBUVQV9fHyUlJVo1RwFVPcKJEyeiefPmoqS5LVq04GUa79evHwAgJycHV69e1bq2RCLBr7/+yj4LCAhA5cqV0a1bN6xdu1aQiV7yP6Qvnp6eCAkJgZ6entZznTt3ToNz4dy5c7C0tER4eDhMTExw+PBhwXZUJ6vjYGlpyUhpXV1dBc8FVNwN5QmEAVX/jB8/HvPnz9eSEZUqVYKHhwdiYmIQHR2tRaYIABMmTMDVq1e1CMc4DBkyRKPmIMchMGrUKDRq1AjOzs6Ctfqzs7OxZs0aPHjwAICqPuOQIUPg6OiI7Oxs9OvXT6sPSbUprlEjccSIETh37hxOnz7NxlSNGjWQkpKCKlWqICwsDFevXsWhQ4ewe/duWFtb49ChQ6hRowb69u2LUaNGYc+ePfjw4QOKi4tRvXp1Vks1NTUVDx48wJ49ewCo5t2gQYN4uTUAcWI0IsLhw4dZe40fPx4bNmyAr68vduzYgeDgYBQUFLD6nero3r07Bg4ciF69euHFixdo0qQJ/Pz8sG3bNrx48QKRkZFYu3Yt/P39mQxNSUnB7du3ER0djaNHjyIpKQn79+/XqBP4xx9/oF69etiyZQv+/PNPbN++HZcvX0bVqlXh4uKC4OBg/Pnnn0zGvX//Hn379kWDBg3w+++/Y/DgwYJEmtOnTxccl4CKHLFLly64dOkSQkNDERMTgytXrjCiKK6+PV8bv337VnB9KS0tFSX2Ky0txaZNm3jHpZ6enigHQJcuXVBUVAQPDw8YGhpqzKePHz/C2dmZ1UIt/1yxsbH4888/MWPGDNSuXRs9e/ZE8+bNYWVlBUBV7zk2NhYzZ85kBL/Xr1/H7NmzsWjRIqYDlMeBAwdw8OBBnD17VrCm5Ny5c9GkSRNkZGSwOXL27FmkpKTg1KlTePnyJbp3745Ro0ahcePGrAZxbGwsiouLERcXp1GXeObMmXj79i3Wrl3L7tG1a1d07dpV474RERFac83V1RX5+fmoX78+k9eAqgZ2RkYGOnTogD/++IN3jqampqJevXoYN24czp8/z8b6t2/f8OzZM6xfvx6VKlXCjh07EBYWhtmzZ6Nly5Zo0KABrKyssHPnTgCAubk5Dh48iJycHCZ/JBIJnJ2dGcdNeXBz4NixY2jWrJlWO79//55xCxw7dgydOnWCl5cXYmJiMHfuXK3fl/9/rVq18PXrV7i7u7Ox9fHjRxgaGsLS0hJEpMWb4e3tjYcPH6KsrAzNmzfnfW7159u0aZMGCWffvn1haWmJJ0+e8J7z9u1bFBYWan1uamqKN2/eiM4HQMXLwEf6Bah4C7Zt24aMjAwolUr07dsX3bp1Y9do2bIlBg4ciE2bNrF+vnHjBgYNGoTWrVujdu3aiI2NRXp6ukY97i1btmDlypVYsmQJzp49q6VDnjlzBpaWlkhOTkb9+vUBAGvWrMHvv/8OX19fzJo1C6NGjcLx48d5n7u0tBT9+/eHUqnE1KlTUVRUhO7du8PR0RErV67E0aNHkZqaKkh4WF4GdO7cmXGpFBYWMm4eCwsLvH79Gl5eXrh06RIKCgqQlJTE+JoAFd/NihUr0K9fP7x7947d09TUlJEU/vbbb6ye9JQpU6Cnp4erV6+iQ4cOmDp1KgBNDia5XI6NGzfC19eXcSio65CcbH316hVyc3MREBAgWFu5PKG1Ouzs7JCVlQUiYuSzxsbGrP7+/Pnz0b9/f/j7+zMuqb/++gs5OTnYu3cvAKBv377o3Lkzk3tfv37FoUOHcObMGdja2gpyPv3555948OABjh8/jmrVqmmNWz8/P2zcuBFjxozB1KlTMWXKFOTn5+PAgQOYPn06vL292bxQlzESiQS2tra4f/8+q+0PqOQNx7tRUlKC169f4/v374xo8cOHD6hXrx62bduGlJQULWJpuVyuVf+9YcOGuHbtGgwNDXHkyBFWs/rs2bNYvnw5u4aPjw9GjhyJJk2aaLyjes39r1+/4rfffoOvr68GIeq9e/cwZMgQrF+/HkZGRqhatSqqVq0KHx8fJg9PnjyJ1q1bIzAwkI2zK1euoFq1ajh8+DB++eUXdh9bW1v89ddfgmOiPMrrCNy1OR2BQ2pqKv744w/s3LkTRkZGGDt2LO7cuYOUlBSkp6ejefPmOHLkCFJSUjB27Fi0bdsWly5dQmRkJMrKylj96/j4eLx//x5eXl6wtbXFly9fEBYWhhcvXqBu3bqM8L48D9XNmzeRkpICPT09pKWlafB4qSM1NRXNmzfXqv/s7u7OCKLt7e3x7t07uLi4wNnZGdevX0f16tUZ50qlSpUYf86dO3dQWlqKI0eOAAAePnyoxXvCQS6XY9CgQWxclEdJSQkePHigpX8+ePAAZWVlotxbXL388ujevTsWL16spfurw9bWFtbW1mjQoAEGDBiA8PBwDTLq8jo1EaFTp06QSqUoKytDw4YNERsbi44dO2rZAuqcJ1KpVMNH89tvv2HEiBHsPEA15qOiohgJsNCaKcY9YGFhIcp91KZNG8TExCAuLg7BwcEYOXIkYmJi8OXLFzg5OSE5ORkmJiawsbHBmDFjcOfOHezbtw916tRBWFiYqN1kYWEhuh4/evQIq1evhomJCT5//oz27dtj6NChcHBw4F2nlyxZwki8hSCXy/H333+jevXqyMjIgJubG2rXro3FixdDX18fGzZsgLu7O3Jycnh9BRy/WUxMDPtM8j811Tl9HgB69OiBHj16oKioCJ8/f4atrS1Gjx6Nfv36IS8vj+kIR44cwffv35lumZiYiNLSUuTk5MDMzAwTJkzAkiVLEBUVJfpeP/G/kBDxMPb9xE+UQ4sWLfDixQts3LiROYpnz56NzZs3w8zMDL1798aMGTMgk8mYAX/t2jWcPHkS06ZNEyQABYCnT58iLCwMb9++ZddOT0+HnZ0d8vPzkZmZqUVEyLEkd+7cGZcvX0ZcXBw6duzIvic14obykEgkCA8PR2JiohYpmKOjI16/fs0IJl6/fo2ioiINhc7Q0BBWVlbw8PDAhQsXNL5r1KgRdu7cKbgYc1AnDFJHbm4u2rVrh+zsbFSuXBkAUFBQgCpVquDAgQPw9PTE3LlzMX/+fAwYMIA5tFJSUrBx40ZMmjQJISEhWLt2Le7fv4/Vq1ejSZMmgs4rpVKpca/GjRujXr16jCA0Ly8Pnp6eePnypRa56Nu3b2Fra4vS0lK8fv0affv21TCu1EVLenq6YFusW7cO69evR61atbQcHVlZWXj+/DkaN26MmjVrwsjIiH03cuRIRiCnjhYtWuD48eNMEeYctnwGwb59+7B27VrMmzePEcq6urpi6tSpSE5OxrRp0zTGXt++fQXfQx3Z2dm4ceOGoBONj8AzJycHgwcPxuXLl5GVlaXlHM7Pz0e1atWwc+dO9OjRA58/f+YlzW3ZsiVevXrFyzTerl07BAcHY+LEiRpt3ahRI2zatEnLOZeZmYmGDRvi9evXWL58OebNm6dBWvfXX3/hxIkTGDVqFPbu3Ytbt27B1dUV1atX13iuw4cPIy0tTUMBBFSKbu3atVFUVCTYljKZDM+fP9fq5zdv3sDe3l7rmsXFxXj06BHkcjk8PDxQuXJltG/fXsvZLf0f0qTyc4Mbt2LKLSBMSCeRSKBQKODu7o7jx4/D398fAQEBmDRpErp164Zr164hLCwM+vr6aNGiBa9zr/wmizpCQ0Mhl8u1+hBQOSs9PT3h6OjIiH2vXr2KKlWqYOrUqbCwsEBqair++ecfNGrUCK9evULv3r3ZbzZu3Ah/f39G1Llz5072XbNmzbB582ZkZWUBUM2T2NhYuLq66iTnMzU1xcGDBzU+Ky4uRlpaGhISElBSUoLt27cjIiIC165dQ+PGjbFixQocOXIEcrkcS5YswaBBg9CzZ0/4+flpzOP69esjJSUF3t7eiI+Px65du3DlyhWcOnUKgwYNQuPGjeHs7Ixp06Zp3H/u3Ll4/PgxTp8+jYiICNy+fRupqans+xs3bqBr164aZIhPnz7Fjh07MHnyZGY8qePu3bto2rQp9PT0MGTIEC0iTXW0adOGd1xyuHnzppbBP2bMGLZG/ih0EWUBQEZGBl6+fMk7Lh8+fIh3795h7dq18PPz0zo3ISFB9NpC76mOe/fuYdu2bdi5cydrd8n/kFmVX9PV/1++Hzg4ODhg8eLF6NWrl+h909PTsWTJEqSnp7MAgkmTJrENgxcvXuD58+eoXr06kxvGxsZYtmwZBg4cqHGtY8eOoVu3bnj8+LHgRmfv3r1RVlaGsrIy3rn266+/Cm7k6zovJSUFq1evZvPU29sbw4cP5yVSBzRJdoXAGet85kL5fuFb6yMjIzF9+nQMGDAAbm5uWLt2LVq0aIF79+7Bz88PUVFRjLD28OHDiIiI0Fjrk5OTYW5ujn79+sHOzg4SiQRr1qzB27dvMX36dObUa9u2Lbp37473799j6tSpaNOmjRbJaXlcunQJrVq1gpmZmRYB1+HDhxEeHs7bNtzGc/m+XbVqFdauXSs694GKzQchfPjwAX369MHhw4eZLCwpKUHr1q2xZcsWmJmZYf/+/YiLi9OQH+PGjUObNm2wdu1a5qAo72S3srLC77//jqioKNy5cwe1atXCmDFjmJHv4OCAFStWIDw8HPv378fLly8xd+5cxMXFaTkb1I16QEVSPHv2bPTt21cwuEVdBjx9+hS//PILevTogbi4OMyfPx/NmjVD69atYW5ujgULFsDPzw9KpRJ///03TExMmL7z4MED1K1bF+/fv2fBIGFhYWjSpAkCAwOxdOlSxMfHY/HixXj69KlgW1+8eJGtueo4c+YMrly5ghkzZjAd8tmzZwBUsiEwMBC3b9/mHVft27fH5s2btRxKRITnz59j4cKFzKGcmJiI2rVro379+mjZsiUmTpyIXbt2YciQIRqOPx8fHwwaNIjp8oCKhLGgoACdOnWCs7Ozxr3Kz2dujJeVlSE6OlqwPS5duoT4+Hi0aNECJiYmSE9Ph4eHB+Lj43H9+nVs375d65yKyBhAJSc+fPiAhIQE5rDMyspCly5dkJ2dDYlEwj7Pzs6GjY0NDh8+jGbNmjGC6QMHDmDo0KE4f/48kpKScO7cOVy5ckXDMVi3bl1MmjQJkZGROHz4MORyuQbxpjoKCwsxfvx4ZhNxmDFjBgoKCrBp0ybcuXMHFy5cwMWLF3Hp0iXo6+sjLCwMycnJ6N69uwbBLqAKKjt16hSvHaAOsc09QFxHWLZsGdPXoqKi0L9/f0RFRUEqleLz588YNWoUEhMT8f37d0ilUsjlcvTp0wfLly9HnTp14OXlhcmTJ6NmzZoAVM7xIUOG4OrVq1i7di1u376Nz58/IygoSGMTYtiwYdiyZQvTId68eQNra2vW90K6rZGRETIyMrQ29q5fv44jR45g7ty56N+/PypXrowZM2ZgzZo1GDduHEJDQ5GamopWrVqhXr16yM7OBqBa97p3764RfJOamqpFSsrh3bt3GDlyJC9p8ejRo5GYmIjJkydrbFouXLgQvXr1wvfv3zXeWX2cb9q0CTNmzMCYMWM0rhkXF4f4+Hg8fvwYeXl5WLFihUY/jxgxAl+/fkW1atV42wtQOUE5cnJ1mywhIQGjRo3CixcvsGHDBowZMwZyuVzDFrh27RpkMhmaNWumcc1Tp06he/fumDlzJoYNG6bx3Zo1azB//nzs2LFDcM3s1asXvLy8EBsbizNnzqBVq1YgIhQXF2PZsmXIz8+HQqHQmhMANMYlF7TJjcvY2Fim+3Ckztz7LFu2DC4uLoLtBPx39FMhlN+Q5OT46tWrUblyZYwcORKFhYVo3749cnJy0KpVK2RnZ8PKygq9evVCfHw8r6+guLgYR48eFbyv2DuXlZVh6dKlWLlyJSNDB1QBSvPmzYNMJkP79u1RqVIlRgZ8//59hIeH49WrV/+2Kf7vw//RuPef+P8qqJOKiNUk/vjxIz1//pyaNGmileL7yy+/0IsXL6h9+/Y0fPhwOnnypMY9Vq1aRW3atNH5LFxNqCFDhtCYMWMoISGBvn//Tp6enpSUlKT1+8TERHJzc6PCwkIaPHgwq8crlUpJX1+fBg8ezFLI+BAVFUWWlpa0c+dOIlKlM82YMYP09PRYWtq2bdsoNDRUI43rwYMH1KBBA6pduzbVqlVLg5Ds3r17VKtWLeratatOwiAxlJWV0cmTJ1lq46lTp7RSK7du3Up16tRhKZR16tRhtfWIiIqKirTqQ757946WLFmikZ6nniJbWlpKpqamLO2TSFU/DeXSrTk8e/aMlZjhq1fJpeLpIhIBQImJibxtwVeywNHRkRwdHQkALyFLUFAQGRkZiZJUcYc6Xr16pVHzt6KlZPjg7OzMyEh/BCkpKSSTyXhLF5w+fZpsbGyoSpUqonVF7ezsWJqjemp8Xl4eAaDMzEytc2bNmkXdunVjhFdEqvTPHj16sBS29u3b89Y1XrduHbVv357s7e2pZ8+evKmkukomvH//nk6ePElJSUmsrM26deto7dq1rBaeLrI6dXz8+JHatWtHiYmJtHbtWrK3t6cxY8bQ9u3bWWmLefPm0bx58/517VdddYANDQ3pl19+odLSUq1UcX19fY20uYyMDCotLWV/ix2Ghoa8ffjfwOPHj3nTuMvKyliKJoeKEg3pknfbtm0jmUzGrj9+/Hjq1asXEalSz62trenatWvk5uamJU85+cGlaLZq1YrNO474R6j8VU5ODpmampJCoaDTp09r8W/k5eVplDb4/v077d+/nzp06EAAtOqFEhGdO3eOjI2NBYk01SE0LtVLr/ChpKSENm7cSN26daPGjRtTo0aNNA4hVEQeKhQKwXROsZIpHFnmfxOc7mBmZkZKpVJnnebc3FyaMmUKde3alY1LExOTHyqB9SOwsbHhJSS9f/++BmkYR6DIHRVtK773OXbsGG/5uoqib9++jMhVHcOGDaNq1aoJptr369ePHeVrKEskEkpNTWV/89V4xf+k5FetWpWcnZ3ZOrNp0yaysbHROS5lMhlv+RXuXYR4M0xNTcnX11eL4J07iIj8/PxowIABvPVu/fz8tErApKSk0IYNG8je3p709fVp+vTpbBxOmzaNDA0NacOGDVrPamFhQa9fvyYi0iKx4+rVc3+XlwVCciE7O5sOHTpEhw4d0klAVh779u2j0NBQsrS0JEtLSwoNDaUDBw6QkZERk6czZsxgPEc3b94kqVTKW1Ll4MGDFBoaqvOeYnog3zqRnJxMQ4YMIRsbGzIwMKDNmzcTkaoUo7W1NSu1x5VLUNd37t27x8g3hUglAdCcOXO07vvmzRud6xYf1HXI8ePH66yjLDRf6tatS5mZmTRhwgRWsmPnzp0kl8vJw8ODJBIJDRgwoMLPVd4WOH36NAUFBdGJEyc0uGdq1apFp06dEr2WoaEhW6vt7e0ZQW9eXh6ZmJiQTCb7V9wURCruC76Smv7+/iSVSgWJpcvXf+dsuIcPHzLOJycnJ42yGlu2bKGvX7/S6tWrydzcXLAsn1Kp5C0/kZ2drUXAWFZWRikpKaxuNdRICdWRlZVFCoWC3rx5w+r1W1lZaZUhK09m6ezsTKampnTx4kWdbenp6Unz58/XKNdSHm/fvqU5c+ZQRkaGhu1jYGAgWL6Es/mEUJ6HSl1PdHNzYyTm5VGR+s+lpaU6y6QJQRdH0a5du8jd3Z1WrVpFV69e1dC509LSaNGiReTo6MjmqKOjIy1atIhKSkpEubc2b95MMpmMWrZsycoYtWzZkuRyOW3evJlOnDhB+vr6FBISwtZbrpa7rrkYERHBy4Gza9cuioiIICKVr8Tb21vrN/7+/rzPfPz4cZJKpYL19o2MjHSumerIz89n3ANEFePk+eeff1jbi/HwlMelS5eoR48eVLduXXr69Cl7/4rU+v7y5QvduHGDDh8+rLHe7tu3T7R8FZH2uiaVSlnJPKH5x5Uk/be+Ag4VKVd5+PBh+vjxI1laWmrUnOfIXjnk5eWJlpf5CW38jET/vxjqEZ5CqfZULm3kwYMHGju9XFSAsbEx0tPTtXaRs7KyEBAQgOrVq/Pu/r58+RJVq1bFkSNH4OPjo3X/xYsXY/HixViyZIlGuY3x48djzJgxmDRpEgBVtEBeXh4AwMPDQyOKSQhr1qzB+PHj0aZNG+Tn5+Px48fYvHkzmjZtyq6zZ88erci/mzdvIjg4GDdu3GCR4Bz++usvNG3aVCvtmYu6nDZtGqZOnQqpVMrbHrGxsaLPXFJSgvnz5yMmJobtIA4cOBAGBgZsN5EPubm5SExMhKmpqcbO8d9//43g4GDs2rWLpdK+ePECRkZGiI+PR3p6OjZv3ox58+bB2NiYXa+0tBSXLl1Cfn4+0tLS4ODggIMHDyIkJASmpqZITU2FQqHA6dOnsW7dOpZiyofAwECkpqbCw8ND9N05qI9VPvGlVCqxatUqjRSof4M+ffogMDBQNItCCKampkhPTxdMWxZCeno6QkJCULVqVezfv5+1SW5uLjp06IDg4GDs2LEDd+7cEby2iYkJbt26hSpVqmhEZqWmpqJOnTq4cOEC6tevrxWZeubMGSgUClSvXh2AKir1+/fvaNy4Mfbt2yc4x3NzcxEYGAiFQoE///wTrVq10kpzv3LlCpo0aYLg4GCtkgkzZszA/PnztSLrubJQXORneUgkEsyaNQtTpkzh/f7OnTto1aqVYDo+dw1OtgUFBeHs2bOwsLBAjRo1RKOmbt26JRoFMnXqVDx+/BirV6/GhAkTMHHiRI2o8O3bt+PixYvw8vJi78hlVYhFfUokEgQFBWH58uUs3Z4Pr1694o2A5VJdhSAU9c9lnfzzzz9MbqWmpiIwMBByuZyl/ApBqLwVoIpw9vDwwK1bt1CjRg3UqFEDo0ePRq9evZCXl4fq1avD2dkZPj4+GD9+PItE5dCmTRtERkaiRYsWaNq0KUvxvX79Ojp27Iji4mLe0imJiYkYN24cTE1N0b9/fyxdulSjLEhSUhJmzJiBTZs2Yfv27di7dy/KysrQvn17FBQUIDc3F3FxcRqRSePGjUODBg0gl8sRHByMQYMGCb53+XFN5aIC+cqiAcDYsWOxfft2FvWUnp7OsgfS0tJEI851rS+Ojo64cOECG5fq4Ivk+fLlC5RKJQAIlpjh8OnTJxw6dIh33eMrAZSeno6tW7di586dePv2Lb58+SJ47YsXL6J58+YIDQ3FpUuXkJmZCXd3d4SFheHNmze4d++e1rOYmpqyv8XArWflI9gePHiAf/75B7m5uSyK+tu3b+jXrx+OHz+OXr16Yf78+azMWHl4enqiZ8+e6N69O4hII1W8/Pvs378fkZGRWLx4MSs3JgRDQ0N8+/YN79+/15r/jRo14p3f9evXx5UrV1jZg1u3bqGkpEQj6lMmk6FmzZo4d+6cxrmPHz9mpdqEyr0Aqgj9r1+/olOnTizTLyEhAebm5hpllPgQFBSE3377jZXyqQjevXvHSoHwZRtxsl+pVCI9PV0rVT8rKwuBgYGC4+7o0aMYNWoUioqKNLLYZs6cqSVrvn79ii1btqBDhw5QKBTYvn07mzeAKsNt5cqVMDU1Fc12E8u64ENqaqpGdCMXVSoGrpyLr68v6tevj969e2PgwIHIz8+Hm5sbHj16BFdXV7i4uGD79u0IDQ3Fo0ePUK1aNRQVFeHly5cYO3YsK21Qfh37kecXkwFFRUV48OAB+vbti3HjxqFnz54a+s7s2bNx+vRpXL58Weu6jx8/xs2bN9GxY0febMaBAwciMTERX79+xejRo0Wfcfjw4SgpKdEqc2VpaYk///xTqzRfVlYW6tWrh7dv32rNF6lUChsbG8Go6OvXr+Pq1auYNWsWUlNTBUtrAap2nj9/PtatW4eXL18iOzsb7u7umDZtGv744w/s2rVLS4e4fPkyBg4cKJpJ6+3tLRgdP3z4cBgbG2P//v2oXr06Ro8ejTlz5sDIyEhnOy5btgxeXl7YunUrW1M5GBgYwNbWVkuXu3v3LoKDg2Fra4vff/8djRs31sp0qV+/Pt6/fy+ov+bk5KBGjRr4/Pkz73PZ29tj4cKFWtH5W7ZswYQJE3D8+HFcuHABFy5cQHJyMv755x/4+/uzbOe1a9eiU6dOGufu3r0bY8eOhZ+fH3JzczUybDhMnToVzZs3x9q1a1nZCPVocK5cyYEDBzRKirZu3VpnmQldCA0Nxbhx47Sisg8cOIBJkyahXbt2vPrlH3/8oaVDWFlZ4dixY6hduzakUilevnzJWx5x//79mDp1KsaNG8ebpRIQEIAnT56gcuXKvPI8OTkZu3fv1miL2NhYZkMFBATg119/xdChQ5mccHNzw6+//goHBwetTAOAv3QGpy9w+gMgrjcBKt0wPj5eI2MgNjYWtWvXRo0aNdCsWTPBbIXJkycLRs9nZmbi9u3bTA5wz5aXl4d69erh5cuXyM/PR+3atfHy5UuNc+3s7JCZmcmb8ezp6YkFCxZg3LhxGt8tXboUqampOHjw4A+tmR8+fGAZ+1xJWz5IJBIt/YKDu7s7UlJSWIk/9WsHBQVhyZIl6NWrF3r06IGkpCTcv38f1tbWSExMxLFjx1i5Oj6cOXMGgwYNwps3b7S+IyI4ODgIlq8S06kr4oPYunUrHjx4IOoruH//Pm//t27dGpMmTRItV3n//n2cPXsW+/btQ3x8PEJCQrBgwQJcvnwZ4eHhePr0KRwcHAAAp0+fxuDBg5Gbm6vzuX9ChZ810f8vBlfmAoBonVR1uLu7QyKRwMPDQyO90crKCgcPHoSNjQ1q167NhOuwYcNQWlqKrl27YuzYsfjtt99w5coVHD9+HNOnT4eenh6+fv0qeL9x48bh7du3GDJkCBMgBgYGmDBhAnOgA6pUsPIOIqE624BqsR86dCiePn2KRYsWQS6X48KFCxopz3x14AGVIkNEWos8oKobW1ZWxmq7q+OXX37B48eP0a5dOxgaGqKwsBCWlpZ48+YNDA0NYWtri9jYWBQWFuLixYuCTvbFixczI2358uXo0aMHDAwMREtAPHv2DNHR0VoKWa9evbB37164uLhAJpMhPj6ebUAsX76cpfWsW7dOQzHT19eHq6sr1q1bB4C/XmVoaCgaN26M2NhY0bSjgQMHYvv27VrlFgBVyaCxY8dqOCIePXqEL1++wNfXF3/99ZeGQqavrw9bW9sKK5FiBh8R4dChQ7hy5YpWKRlA1Rd79uzhVXD09PRYOQk+iKV/NWzYEIWFhahatSpzNjx9+hQNGjTA0qVL8e7dO9G6og0aNEBiYiJTCrmU88WLF6NevXqsDriBgYGGI69169YaY1o9LRhQGYWHDx/W2lQ4fPgwLC0t0a1bN+zdu1cjfZKDGOdCixYtEBMTo+VwunjxIogIERER2Lt3r0YNP319fbi4uMDR0ZG3DQBVaZOPHz9qzP3bt2/Dz88PUqmUpVJz/9apUwfZ2dlQKpWoU6cOq+ErhISEBMTFxaFz587ss1atWsHf3x/r16/H2bNnUbVqVcybNw+TJ0/WqDnI1YjlavU/evSIjWOx0gOASkEWquWelpaGoUOHIjMzU8t5wRkCXAkEvhp8XImC8uCMfb6+BX7MMaKOL1++ID4+HiYmJujfvz9q1KiB7OxsVpPv3r17cHV1xaNHj3Do0CEtAxgAVqxYgXbt2mHJkiXo06cP2wQ6dOgQQkJCEBQUhEGDBrHNT+B/y19NnjwZenp6mD17NlxcXNh7chu1xcXFiIqKQmRkJDZs2IBWrVpBoVCgqKgIY8eORffu3VFcXAxAlXbar18/LFmyBPHx8Zg2bRquX7/OaxByqanqKL+RzdVVLY+ysjIcPXqUtZGbmxv27t0LKysruLm5Ca4DXO1xMYhxSPClu1Z0Ix5QbW5yZRb8/PyQn58PIkJQUBD77aNHj7B9+3Zs374dWVlZCAsLw6xZs+Dg4IBLly4JPvfEiRMxd+5cjB49WmOM2tvb4/LlywgLC0NAQADrhxUrVmDgwIFYt24dzM3NRQMItm3bht69e6NZs2Y4evQo7Ozs8PnzZ3z9+hUSiQSVKlXS2ngsLCxEbGysoAMdUHGTbN++HXPmzIGDgwPs7e1x8OBBODk5ab1Py5Yt8eLFC0RERGDSpEmoUaOGaGkVQNNxzL0LAPzzzz8aTrrS0lIMHDgQDx8+xPnz57Fs2TKYmJggISGBt94/AMH0c85hER8fj6CgIA0n3eDBg7Wet6Ip1AsXLsSYMWMwb9483vk0cuRIXt6MY8eOIT4+XrS0SlBQEDIzM7UcApmZmaxf+eDt7Y1nz56hsLAQr1+/hlKp1Ag0KCwsxIQJE7B79268ffsWgKrPuT56/vw5471Rb4eKtAkRYc+ePYKcK/Hx8ejWrRuuXLmiVVt6586dTK/4/v271vk1a9bE6NGjERoair/++gu7du0CoNpIUSgUrNRc9erVsX79eqYHcoZ4dHQ0njx5gmnTpgnyEIhBSAbk5eWhqKiIzSlDQ0MEBQVhypQp6NOnD549e4aysjLs27cPWVlZSExMxJEjR1BcXIzIyEisW7eOOZu40mISiQQbN27UChDZv38/+21aWprgs0okEkRHRyMmJkbLof3t2zeMGDECd+/e1ficq6MMiKfjA6rSKfXq1WO2Vp06dVCnTh08fvwYM2fOxLZt2wTPnTdvHhISErB48WKtWvHPnz9n40IdZmZmyM/PF9RrAdVm6dmzZ1G7dm0MHz4cPXv2xKZNm/DkyROMGjUKVapUweTJk5GUlIS0tDS2PupqR0BVZ3j48OFYs2YNC/ZJTU2FTCZD//79tc579eoVPD090aFDB43671x5kRs3bjBOrdatW2P//v1ajsGDBw+iqKgIr1694g0eePXqFQYPHoxbt25pbJj/8ccfmDZtGkJCQlCjRg2EhYVhwIABaNiwIbP/zM3NmWxVL5u0aNEijB49GosXL0ZycjKvnBk0aBDGjBmjYcvIZDJWWiQ3NxctWrTA06dPmexasGABKleujKNHj8LDw0OQO+nbt2948uSJhn2s3s9xcXEYMWIEcnNzNThI5s2bh48fP4pyjJTXITp06ICwsDD2+1q1avHaZ48ePYJEIhGt/+zm5sa7Cbxnzx507twZISEhGvXh169fz2rP5+XlCXIURURE6NS7Oag7z4XeuTxqNWosoAABAABJREFU164tOFczMzM1athziImJwdKlS9G3b19ER0fj4MGD6Nu3L/Ly8pCSkoKhQ4fi8+fP2LRpE3PAc7oM/Q8/Erd+l5WVaemTNjY2ePjwIXOic0F4WVlZUCgUmDdvHi5cuKDBA3DlyhWMGTMGBQUFgmumjY0Ndu3ahS5dugBQcbXt3bsX9vb2OHbsmKivqbCwENOmTeP12zx69IjXzuA4X+bOnYt169ahd+/ezGFuYWGBU6dOYe7cuaJ6HhFhyJAhmD59OluTOXClqlq0aIGZM2eiW7du8PDwQEBAAK5fvy6qU2/ZsgUuLi6C+hqgKjko5Ct4+PAh2rVrhzt37vCWNCwtLcWbN28wZswY3nKVFy5cgKWlJRwcHNCtWzc4OTkxHU8mkyE6Opqt24BqI4ubPz9RMfyMRP+JCqGoqAjDhw9n0WhcVMPw4cPh5OQEe3t79O/fH7Vq1cKDBw/QqVMnvHjxAkeOHMHIkSOxfPlyRnYBqKIOUlNTsX37dsyfPx/Z2dnYuHGjVt1BDp8/f0ZmZiaUSiWqVKnCIr8KCwuxcOFCLaH7/v17fPjwASEhIbyL/R9//IH+/fvj7NmzWLJkCS5evIgDBw5g8eLFjHykVatWePbsGTZu3MgM/Zs3b2LgwIF49uwZvL29sWPHDubIe/bsGXr06AELCwvs37+f9z1CQkKQlpaGb9++wczMDBkZGdDT00PPnj0xYsQIuLm5ISoqCkVFRbxO9ocPH+qspcsHsWir6tWr48aNG7CxsdFySmZkZGDo0KGMFEQIwcHBmDt3rla9yvj4eOzZs4dlCfDtqP7+++9ITk5GQECAhqMDUDk7+CKF1Ouxi0FXVFTTpk3x5MkTDBs2TGucDBw4UMMJUlRUBIVCAZlMBolEgpEjR2Lq1KmIjo5m9fm4CJHAwEDcvXsXLVq0EDT61SGRSGBjY4OIiAjExcXB3t4ep0+fZsRiAQEBrI6+rrqi7u7uaNy4MYKCgnDu3DlWZ/Tdu3dsU0QsMk8IHFliVFSUxo73sWPHsG7dOty+fRu///47jI2N0aVLF63nEiKcNDIyEo2sf/z4MSpXriwYkV4+A4PbkEhKSkJYWJhGjc4fifgWaguurZRKpUYUCIecnBxUr14dHTt2hJ+fH6ZPn661UdiuXTucP3+et1b/mzdvcO7cOS1ZWFJSgqtXr7JoUb4+JCK0a9cOEyZM0IpsAlRGe1RUlFb0044dOwCo6iGWH/elpaXYtm0bvn//jnPnzlWoFi6Hffv2YebMmbh9+7ZWTVQiwj///ANDQ0OsW7cOV69eRUFBAQYPHozIyEgAqrqj+vr6uH79OqKjo9GhQwfe+5SWluLTp08aMio/P5/JzW3btvHWieaigLkN3vIbtQ4ODujUqROvwwEQzoAqz+GhDolEgocPH2p9rk64mZ+fj4kTJyI6OlqDtDIhIQFfvnzBjRs3BKOe/hOIjUtARTqnHvkGqDa6FQqFFmGoOgYNGoTOnTtj1qxZLArM1tYWPXr0QGRkJAYPHow6deogJSUFAQEB6NGjB1P6Af5sFPWxpFQqcefOHbi5uWlEo9atWxc3btzQyoT48OEDzMzMWAShmKNv+PDhLIJNT0+P1dm+evUqlEolb436c+fOYcmSJRobbELIzs5GYmIiVq9ejU+fPqFJkyYsmp57n2PHjqF+/fp4/PgxvL29WTZgeTRv3hwuLi7w8vLC/v37cefOHQDQWY9YPavHyckJp06dYrVYb926herVqyMzMxNNmzbF5s2becnyMjIyMHnyZAQGBiI7OxtLlixBTEwM6taty7gNbGxstCLJAN0ZEmL8FdxnYrwZ5YMh1GtRZ2ZmYvz48Rg+fLiGw2jNmjVYuHChFikpt77MnDkTDx48EOR74eoyz5kzB7169cKaNWsYweurV6+QnZ2t04kqhBEjRmD9+vVo1KgRr5x//vw5b23pvn37wtTUlGXq8ZFTA0BUVBQKCgoQGxvLSMhGjRqFe/fuoXv37oiOjsbNmzcRGRmJd+/eQV9fH1u2bEGXLl1gYmKCy5cvCxIIigWJbN++XVAGiGVJ2djYoHHjxsjIyGB1mqdPn86ySm1sbFgWGPC/8vnx48eoVKkSb4DI7NmzGWmnGExNTXHr1i2tDd6YmBhs2bIFS5cu5a2jvGzZMsHsUYlERdY+aNAgjUhBDgMGDMDGjRtRs2ZN3gCPZcuWwdPTE+vXr0fjxo21asX7+fkhIiICSUlJzGn08uVL9O7dG3l5eXj58iWio6OxYcMGLccdRyDJ4dq1a7h27RqqVKmCVq1aoUaNGsjNzUVxcTFcXFy0nq18HfDysqmwsBAlJSWsT7i/y8rKsGvXLi1i6YULFyIqKkqj/jtfpsvcuXOxdOlShIaGajkGP378iDlz5rBNOE4e/f333/Dw8EBCQgJWrlypEUk8YsQIdO7cWSOrqTyICCtWrEBcXBzLVnF0dMS4ceMQGxuLkJAQrFq1ijfDRiwafOHChYxQedu2bSzA5O3bt+jZsyekUikGDRokyJ1UWFgIa2tr9OrVi9k9Fcm45eStGF8Qnw7x8uVLfP78Gbdv39ZoZ3W8e/dONHLXxcVFMJK9WrVqyM7OZhs2HNRrz1eqVEmQoygyMpKR9vJBlx3ZunVrUb1pz549yM3N5d3w7NGjB5YtW8abrdCjRw8kJiaiW7duGnN4+vTpePfuHZo2bYpOnTqhatWqCA4OxvPnz5GVlYUnT55g6NCh2LlzJwICAmBgYIB+/foxHXLBggW4evUqrl27xjKe3dzcUFJSgpcvX0KhULAsrvKQSCRYsGCB4JpZWFiIpUuXIjAwENeuXWNZKtym3KlTpwCoMpjz8vLQsGFDKJVKEBG6d++OixcvaoxLbhNy06ZNSEhI0AhQLC0txdmzZ3H69GkUFBTg/v37cHV1ZW1VUFAABwcHBAQE4OTJk4L9GxUVhdu3b/NmwxsZGSEzMxPOzs5wcHDA0aNHERQUhIcPH6JGjRr4+PGjYJbNuXPn8ODBA5iamqJatWrw8fHBb7/9pvGbBQsWYNmyZby+gg0bNsDT0xMbN26Em5sb/vrrL7x9+xZjxozB0qVL0aBBA5iZmeHmzZta68+0adMwd+5cDBs2DOvXrwcRITw8HNevX0edOnXQv39/RkKrfr+QkBDBtfsntPHTif4TACAa5QUAe/fuxZUrV7BixQpERkbi9u3bcHd3x8GDBzFz5kykpaWxlKW0tDQ8fvwYbdu2ZVEhzs7OMDExwdOnT2FmZqYhgLjIBmNjY/j7+2spXfv27eMVuBKJBN26ddMSugAwffp0tGrVClu3buV9HycnJ7i5uSEpKYkp1BxZT506dXD06FG8fv0affr0wYkTJzTIm5o1a4Z58+YhJiYG9+7d0yAA9fPzw6FDh/Du3TuN+3GGV8uWLREQEIBbt27B3Nwc165dg4+PD27cuIE+ffrA3t4eXl5eWLduHa+TvX379li3bh1mzZqFHj168CrQrVu31npfXQrZ9evXRftfF7Zu3YqSkhJB4yo4OFhwR7WsrIw5BsvjwoULePXqlZbSdO7cOXTp0gWvX78WTXVq3ry5oJMcAHr27Clq8Klj9+7dmDp1Ko4cOQIvLy9UrVoVs2fPRufOnTU2iCZNmoQ1a9bwOgu4d+ZzovHh69evUCgUGs8t5Ezmrl1aWoqPHz9i9erVGkbl0KFDBZ0vHMTKbgAqZ4kQaV1F0/S+fv2q0Vc9evRAr169dDqcioqKePu5fCkALiWai9rcvHkz+06d4Or9+/dQKBRwcXFB7dq1NQzp9evXY/78+VrPUFpaip49e2LHjh3w8vJC+/btedMw9+/fjwYNGuD06dN48uQJKlWqhLCwMISHhyMsLIz32hwSEhJEN46E0h0BlRPt9u3bvBHbHExMTLSin7i+u3jxIurWratBaqivr4/Lly8jMTERHTt2ZOUtvLy8cOjQIYwePRqBgYHQ19fHiBEjULt2bZw7dw5jxoxBdnY2evfujbVr12LLli1a45jLXBLboANUyt3cuXMRExMjSEjHh/LlrwDN1FJ1lN+olUqlbPORj0jzvwEhh9Lq1asxa9YsdOvWTeP3XMZOZGQkb9RTcnKyaJkfXRArJfHp0yfcuXOHbSADKseceuSbENQJ6CwsLJCcnIxq1aohIyODlVObMmUKevToAV9fX63zyxu46uXR5s2bhz59+mD37t2oV6+ehrG5f/9+jB07lm10/BsYGRmxjAgrKytcuHAB/v7+yMzMREREhAZpE4eKECjyYd68edizZw/S09Nx5cqVH34fjpzNysoK/fr1w759+wD8WFaPiYkJI9QEVBlpJ0+eRGxsLLp06QJPT0/B9PNFixZBKpWyDT1Am8BQoVDAzs5OwzGuaz0U2qApLCwEEaFVq1bIycnR0BNKS0tx+PBhTJw4Ebm5uRpzLDAwUHADVR3qkZDqICJIpVLY2dmxgI7yKCkpQWJiIsLDwzUcrUlJSRg5ciQ2bdrES2LHvZdYNqKlpSW2bt3KslHKQ6lU4urVq7ylCBs0aIAaNWoIklMDEI3AVwdXUsXZ2Zk5XXx9fbFt2zbezaW0tDTRIJFu3boJygAhB5q6LiiEUaNG8ZLZNWrUCPv27dO5/oiB24wr/74pKSmoX78+rK2tmYxwcHDAiBEjWISxm5sbXr9+jaKiIo2sD0NDQxgbG+Ply5dwdXXFpUuXNDIDa9euzfqyPDhdS6lU4sGDB3BxcdGQIffv30etWrXg4eGB7OxsDfulSpUq+PLlC+bOnSvouFu9erVoe8yaNYv3869fv6KsrAyLFi3S+HzNmjWQyWQa5Y0A4bWofCnH8gEPX79+5S2Hw7exzZW/ePfuHczNzZlMmjFjhlbJSl1QL53k4+PDIuk5/PPPPwA0s/lSUlIwceJETJ8+HX5+fkyvBlRr68yZMwU392JiYlimmzoyMjIQGhoKR0dHREVF8ZYUMzc3x9GjRzWiTsVKcXEIDAzEwYMHWUAPH8R0iOTkZNy6dUswo1EInJNy5cqVGDBggFaQx6pVqxAYGKi1QZOdnY2AgAB8/foV3bt3R61atViJoVWrVqFNmzY4ffo0goKCsG/fPiQlJWHdunV49OgRrl27BhcXF6xYsQJJSUn4+vWroB154MABwWd/9eoVMjMz8fjxY97s0BkzZmD58uWYOHGiVrZCYWEhcnJy4OLiAltbW5w+fRrVq1dHTk4O6tSpg7dv3+LRo0dYv369RpndX3/9Ff369UP//v15dcgNGzbg4MGDiIyMRGpqqlbG8759+wQDRwBxG1R9vSQiDBgwABs2bEB2djZq166N3NxcdO7cGefPn4dEIkFOTg7c3d0RExOD7du34+zZsxrjUl1PKN9+enp6cHV1RVxcHGJjY7FhwwY0adJEQ24lJiZi4cKFuH//vuAzx8TEIDQ0lG0Yq0NX+apXr16hUaNGLOumfAm8wMBAvH79Gi9evMDHjx/RoUMH9OvXD02bNoVEIhENuHny5AnS0tIQEBAAMzMz/PXXX/D29mb2VVpaGuzs7HjLVTo6OqKwsBAfP36EkZERFAoF3r17V2E5/hMVxH9QT/0n/v8IQkQ/3OHs7EzXrl0jIk3ynpycHEbcog6OOMrLy4uuX79ORCoChB07dhCRikzO1taWiDQJz/r06aPx/65du1JERAR7Hu6+ffv2pdGjR5OZmRklJydr3d/S0pJyc3MF33f27NmMyE8dBQUF1KRJE43PsrKyGMkER6REpCKROXXqFMXHx1N8fDydPn1aoz35CIPkcjkjT6lSpQqdOHGCiIgyMzPJ0NCQzMzMGKGLmZkZIy67fv06Iwfh6yuJGoknH+Gcr68vOTs705IlS+jy5ct0+fJlWrJkCbm6utLOnTs1SFT4UFBQQGvWrKEJEybwEoGUR2FhId28eZMRabVs2ZLatGlDr1+/JmNjY7p//z5dvnyZQkJC6NKlS1rncyRbUqlUi4TL1NSUpFIp9ejRgwICArTaWp281djYmNLS0nifkYjIx8eHl8ioPMrKyqisrIzOnz9P/v7+RESkVCoZwZJSqWQEKNnZ2WRpaanzmkLgiCgdHR1JJpOxMT916lTauHGj6Lnfv3+niIgIXjIjXfjzzz+pU6dOVLt2bS2Skv8UhYWFNHToULKxseGdF87OzjRjxgzas2ePFpHaq1evqEWLFoIEnrrg6upKRkZGJJFIGImaRCIhAwMDsrW1JYlEQh4eHvTkyRMiIiouLiZzc3Otti4pKaGOHTtS1apViUhFpqavr08BAQGMdK969eqkUCjo8OHDRET022+/0YABA2j79u3066+/UtWqVUkqlZKTk5Pg80okEnr16pXW51lZWbyyVh1t2rShPXv2iP6mVq1aTJaXR3R0tAbhNAcTExNGNufs7Mxk7rhx4wgA1axZk4yMjMjQ0JDmzZtH9vb2tGDBAg0iMDEcP35cg/xn9erVVL16derWrRu9e/dOJyGd2NhVJ8ojUsn+JUuWVOi53NzceAkNP3/+TFOnTqW6deuSh4cHubm5aRx8KE/MeuvWLbK3tyczMzNGRCSRSNhYFSIkk0qlZGZmRm5ubtSyZUtGOtauXTuSSCTk6upKkyZN+o8IKPnQvHlzioyMpLdv37LP3rx5Q5GRkRQVFUVExEsQnJCQoLGW+fj4MILE9PR0Rv73b3DhwgUKCgqiMWPGUP369en58+dkYmJCOTk5lJycTO7u7jRz5kzKycmhEydOUFFRERGRBnnujBkzeHWBDx8+UNeuXcnJyYlu375NRCoyru3btxMR0dWrV7WI5TjoGq/lcePGDRoxYgTZ29uToaEheXt7a7zP4cOH6dKlS+Tu7k6DBg0SJB0ODg4WJWfLz8/nJQ5WR69evcjV1ZX27t1LBQUFVFBQQN26dSN9fX3q3bs3KRQKwbGpp6dHtWvXpjNnztCnT5/o7du3dObMGapbty4dPXqUkpOTqVq1ahQTEyP6DBVFeT2V7/D29uYlPJZIJFokqXxHeRLbS5cuUWZmJsXFxdGKFSvYsWTJEurevTtZWlrSggULyMjIiM15JycnRsj58OFDUigUgiR2O3fuJHt7ezI1NSWZTEY2NjZMLnCyxdXVVZRcukqVKux+6rhx4wZ5eHjoJKf+T0htT548SU2bNtWQuRzCwsJowIABVFpayuyIJ0+eUMOGDRkxbHlURBccMmSI6DNVhMyOSLXGp6WlaclVsaNly5bUqVMnLZK9Dh06UGRkJBGRBpGtOrZv307h4eEatkpOTg7Z2NhQcHAwSaVSsrCwIEdHR3a/1q1bk6urKzVr1kz0nYOCgigpKYmING22WbNmUf369amsrIxOnjxJK1eupJUrV9KpU6eorKyMlEol5efnE5GKPJlb/9T12mfPntGuXbto1apV7HzuEEJkZCStWbNG6/O1a9dS8+bNtT4XI5Iuf5SUlPwrndnV1ZVcXV1JIpFQ5cqV2f9dXV3Jy8uLmjZtyuzX1NRUSkpKoqSkJA2boaCggOrXr08SiYSNS4lEQqGhoYzsVAjZ2dlUq1YtJpfwPwTM3CG2hlhYWNCVK1e0rpmcnEwWFhZkaGgoSG7u6urKS4qtC+PHj6fZs2f/8HlEKtukIqSz9+7do+PHj2vYAH5+fhQeHk4SiYTq1atH4eHh7GjatCkZGRnxjr1du3ZR5cqViUhF5Pjs2TMiUtlYffv2pcjISBo9ejS9e/eOfvvtN7K2tqa5c+eSUqlkbccRg4rZkWKoXr06derUie7fv0/v37+nDx8+aBxlZWW0bNkycnJyYv3r5OREK1asIDc3NzbWatasSevWrSMilYzVRVAuRIiblZXFyCM5GbB48WJatWpVhQhriUh0vbS1taW9e/dSfn4+ubu7U8+ePeno0aP04MEDMjExoV69elGzZs2ooKBAQy6dOHGC9PT0BMelq6sr8yfwYf78+eTr60vXr18nExMTunz5Mm3dupVsbGwoPj6eLl68KHicPHny/8PeW0dF2W5h49cMwzDEMHRKg0gpoGJgoCBYgB2YKIoFdndji/qaqCh2gt3dGCAqGKiAHVigLyrs3x98z30mnhnwnPN9a/3Wea+1ngXzdNyx49p7U8uWLalXr160cOFChfEsODhYpbizq6sricViGjt2LBERLVq0iMLDw1UKH0dGRtLChQsV3tu0adPI2dmZ7O3tKyyaamRkRE+fPiUiImdnZzpz5gwRlc/P3DecOXMm6erqUnx8PBuf4uPjCQCNHDmSiMrH/zp16hDRf26f+AeK+MeI/g+IiFQG9vfv39OJEyeYQiQ/qcgPfBkZGUyRLC0tpYcPH9LFixfZ4BQVFUUxMTFEVF4NXVtbm6pWrUoikYgmTJigch8LFixQqBitacD19PRUKwz8J5P9fwPKE0t+fj79+PGDmjVrRlu3biUiopiYGAoICKAtW7ZQWFgYBQQEkJmZGZv4+IzsmjB48GDS19enTp060dChQ2nYsGFs0SSQyRuh+RT8U6dOkZ6eHnl7e5NIJCJfX18yMjIimUxGTZo0oZ8/f5Kzs7NGoczU1JQZ6A0NDZmj4PTp0+Tr60tEpGDoSE5Opg0bNpBAIKDExERKTk5my7Zt2+jKlSuVMsxXZCTXpPARESUlJZGXlxeJxWISi8Xk5eVFS5YsISJSEHCqVatGx48fJ6Jyg6D8JMUZ4OUhr8C1bNmS+vbty37Xq1ePZDIZNW/enEQiEWvzO3bsoLp166p9Fg7ybUgdiouLKTs7mynuY8aMIT09PRoyZAiJxWKKjY2lkJAQkslkrJ/m5eVpXOQxY8YMBWPuoEGDyMvLi/bu3avg9KlMu4yKiqLAwEBKT08nfX19OnHiBKWkpJC7uzsdOnSowvehTlEFQGvWrKGCggIKDAyk9u3bE1G5YVAgEJCRkRHt3r2biMoN623btiUPDw96/fo1O8/Tp09p7NixTMEdN26cSlsqLi6m48eP07hx46hu3bokFotZm5cHdw6hUEgtW7ZUUNSVFWd1VegPHjxILVu2pGnTpvE6JIiIbty4QU2bNqVz587Rhw8fmILPp+h/+fKF9u/fT97e3mwsCg8Ppx49etCLFy/I2NiYzM3N2T0JBAJq1aoVFRUVqTyfOsPf3bt3qWrVqpSamkpERHfv3iUdHR0aP3481a1bl3r37q1wnrS0NGbYISJKTEwkqVRKcXFxJBQKaezYsdSwYUMyMjKiiRMnUkREBCUnJ7P93759S40bN6Zhw4YREVGbNm3UGkj8/PyoZcuWCoZjIqIuXbqQtbU1jRkzhpYsWaJgTFu6dCkRqToe69evT9WrV2fXbdy4MQ0YMIBKS0tJIBAQUblwHBgYSDY2NjR69GiVdzh69GgyNDRUcDQrO52XL19O9evXJ4FAQDVq1KD58+dXqMxXBnp6esyYLA/OEH7gwAGSSqUkEAhIJpORkZERW7S1tWnt2rVERDRy5EhydXWlWbNmkb+/PwUHB7Nz/amzNjs7m/T19amkpIT69etH2traJBAISFtbm4RCIXXs2JGaNGmi1glPRFSlShWqV6+egsHh7NmzZGdnR7Vr16auXbvSokWLiKh8XDM3N6eYmBiqUqUKOTk5kYeHB5mamioY9ypScInKldkpU6aQm5sbiUQiCg0NpU2bNtG3b9+opKSEYmJiSCQSKTjIu3fvrtZBzy2enp60ceNGunnzpkpfq8hZRVQ+Xg0cOJB0dHSYcUcsFlNkZCQVFRVRlSpVaNeuXSrPs3PnThKJRGoNO56enkREdPLkSWbY+FMoz1vr16+npKQkEggEtG/fPjp37hxt27aNateuTVeuXKG2bduqzB39+/cnJyenSs0d/w5WrFhBvXv3Jh8fHzp37hwREQUHBzOFNjExkXfe474pgAoNzcnJydSlSxfmFFJGamoqBQQEUHp6OluXnp5OdevWpf3791OtWrUU2oE8zp07R7q6uhQSEkJisZhyc3Np+vTpFBISQp6enjR9+nS1C1G54i8Wi0koFJKBgYFCnxAIBCokkeHDh9PZs2fJ3d1dpc8PHz6cQkNDKTQ0lADwyoIVOVKISMHoJr/Y2toycsrv37/ZuCkSiah58+Zqx1n55f79+2RqakouLi5snYuLC5mbm1doMHR2duY1zoWHh5OBgQEJBAIKDg4mXV1ddu7+/fvTnDlz6P379xqdg6mpqSSTySghIYH09PRowYIFFBMTQ2KxmE6cOKH2nioy3G3cuJHEYjEZGBiQg4ODguFZnQOZiMjY2JhXR0hPT2fysrIsokk2kcf06dPJ2dmZtmzZoqCr8snMJSUllJOTQ79+/WLrgoKC1Dr83759y+YQ+XbctGlTevfuHYWFhVGdOnVYuyYiysnJoXr16pFUKlVx6vv5+ZG/vz/Vr1+fTE1NydPTk3bs2EFnz56lHTt2KCyajJU9evQgLy8vunbtGtMxrl69St7e3tSrVy9q27Yt7dy5k/eZUlJSqEOHDlRcXKz2nfI5Sho1akS6urrUqFEjGjJkSKXmaHnwkRJKSkqIiCg3N7dCUpQyyWP69OlUXFxM06dPJyMjI0pISKALFy7QhQsXaO7cuWRkZEQTJkzgbUurVq0iDw8PevDgAX358oU8PDxo//79RKRo48jKyiItLa0KyVa/fv2ikydP0urVq+nr16/sHerp6dHjx48rfDdERF+/fmXHEhH17duXpk2bRkTl8wo3LhsZGTFHtDpdwM7OTq0MWbVqVd7rf/r0iYjKx5Fdu3bRwIEDqX379ipysSYMHjyYHBwcKCQkhExNTenKlSvk4uJC/fv3Jz8/P7K0tGRtQP495+bmko6OToXtku9+uXueNWsWI6FwRKlJkyYRkWaiKDfmy49p3F/lMe3q1au0aNEiOnDgAFtnY2PD62DOysoia2tr9js/P5+mT59OTk5OZGtrW6ERvUGDBqxNdu3alZo3b06XLl2inj17kpeXF9tvy5YtVLduXTY+1a1bl8zNzVmb9fPzo+XLlxNR5Rww/6Dy+MeI/g80gmN6NWzYkJYtW0ZE5QMf5x0bMmQIhYWF0dWrV8nJyYlXuZM3zF68eJEWLlzImJrKyMjIIBcXF8Ye0DTg6uvrqxUG4uPjycjISGGy7969Ow0bNoyGDx+u1qAjz8b+/fs3JSUl8TK7mzRpQqdOnaJWrVqRs7MzOTs7U6tWrRTY6HxIT09n3sS3b99SWFgYSaVS8vf3p4yMjAqN7Jpgamqq4ICQR2UYV9yijNq1a9OUKVMUvsG3b98oIiKCVq5cSUTlk4gmI7omj6pEIlEbbdCxY0cFYVf5eSsyzFdkJNek8EkkEtLX16dx48YxI+S4cePIwMCAJk+erCDgLFiwgIyMjCg0NJQMDQ0pJiaGNm3aRN7e3qSjo0M6Ojrk4+NDmzdvJqJyoV0mk5Genh45OTmRWCwmiURChoaGJJFIqEaNGhQUFKTAqsnOziYjIyMiKu+XrVu3JhcXF3JxcaHw8HDmOBg2bBjzkCtDHaubU+rlvzER0eTJk2nw4MFEVDHrr7S0lKZPn06GhobMGKCrq0szZswgOzs7ZlDgrkNUzvLgYyHJw8rKirHqpFIpiwZJS0ujwMBAjUbQtm3bkr6+PjVp0kRF+OMY8EREly9fJisrKyL6F+P79OnTJJVKKS0tjSIiIsjT05PevHmj8V7lMX78eKpXrx5JJBLy8/OjYcOGUWpqKhUWFjLhTH4xMDAgAwMDAkCdO3dWUNT79+9PgwYNovfv39OePXtIV1eXYmJiSEdHh32r5cuXk7+/P8lkMo0MWGX2k7wgCYAJW9+/fyc3NzdmkOTawc2bN8nMzIy1mxUrVrBnFovFdPPmTd73oSy0yv8GwJiuEydOZA6NW7dukaWlpcJ5du7cSW5ubqwduLu7M2VRvm2NGzeOBg8eTKtWrSIrKysaOXIkbdu2jdLS0mjfvn0UERFBaWlpKtFP8ouJiQkZGBiQjo4OVa1alSnBWlpa5ObmpvKM3D3xOR5lMhlpa2uTqakpEZFC1JGWlhb9/PmTiMoZzra2tiSRSMjb25tFOfj4+JBEIlE7xivj6dOnNGvWLPLy8iItLS1q0qRJpY5Tx+rX0tLSyHxzc3OjoUOH8ipAubm5bKwuKiqi2NhYcnV1pbZt27I5h3tnPj4+JBQKqU6dOiSVSsnIyIhq166tMD9nZGTQ0aNHqVGjRuTg4ED169enWrVqUZ8+fSglJYVq165Njx49qtAJT1TOGOrYsSNJpVJau3YtjRo1irS1tWnChAn069cvFQbb3LlzKTw8nBwdHcnFxYUSEhJo48aNCsY9eaeNOggEAgoICKClS5eqHVfy8vLo8OHDtGLFCta2NM3dFTnIvb29Wfu5e/cuicVitc6qoqIi9r7lnWKaDBYikYjXcHjnzh0SiUTUtWtXCgwMJKFQqCBLVYSKopE4hv2BAweoWrVqLFKGb+44fvw4mZubU/Xq1YmIVByNlV0OHDhAJ06cYHINh9zcXJJKpbR48WLGjjx58iRJJBLmmJgyZYrabyiVSiuMRvz+/TuFhYWRgYEBeXt7s/7JLcbGxkyu4QgA3P/GxsZ0+vRpqlevHp09e1bFkVq7dm3mNOL6jK+vL1WtWpW0tbXJ19dXZdHT02Pzi3I/kF+kUqkKSSQoKIiuX79Oenp6ao3dQUFB5OvryysLpqamKiy7d++mCRMmkK2tbYWRezY2NszRsH//frKxsaGHDx/SpEmTqH79+hW2Sw4vX76k8ePHU8uWLal9+/Y0ffp0+vjxY4XRfbq6ugqODg43btwgXV1dmjZtGt2/f18lWufDhw8aI3Q5XLhwgUJCQsjc3Jx0dXUpMDCQkT1OnTpF48ePp759+1J0dDRb3NzcNBruqlSpQrNmzeKN3iFSLyfKy5jyEAqFJJFIKnWsOiapi4sLnTp1iogU5Vd5mbm4uJj69OnD+gi3z5AhQ2ju3Llqv22nTp2oVq1aCvrN/fv3qVatWtSlSxeSSCS8BtabN2+SSCQimUxGDRo0oBEjRtCIESOoYcOGJJPJaOjQoWxs5ggEf4JPnz5RREQECQQChT7epk0b+vz5MyUlJamN8HRyciKpVKowfsgv6hwlEomEJBIJb/+UH8fVtXt7e3sFUsLly5epdu3aRPTn0cpE5W1n48aN9ODBA7Vsbk16Cyfzcm2Qk0Xk29CjR49IW1tbox75/PlzqlatGunp6Sm0rfj4eLKxsdEYHfb9+3cFmen58+e0ZMkSOn78OJWWliqMedu3b6e4uDhatmwZlZSUaNQFatasqVGGTEhIoB07drBzd+zYkYRCIdnY2FDXrl1JR0eHmjdvzisfE5Xr7kOGDKHg4GAKDg6muLg4evLkCf38+ZMWLFhA8fHxrF98/PiRPD09ad26dWRgYMDmAPn3nJ6eTlpaWmrbpY2NjcL9dujQgQQCAdnY2Cg4ZkpKSuj+/ft0/fp1+vbtG/369YtevnypkShqbGxMs2fPVhjThEKhAlln1KhRKmQaDgYGBnT27FmV9WfOnCF9fX3atm0bhYSEkEQioQ4dOtDhw4fZteTHXuUlNDSUOc4fP35M7u7uBIBMTU3p9OnTatsUUeUcMP/gP8c/RvR/oBEc0+vixYtkYGBAAwYMIIlEQkOHDqVmzZqRvr4+3bx5kzdk6f3799StWzfecHhlyE+6Pj4+ZGhoSH5+fiQUCtUOuCYmJuTr68s76HIGKflJHgDVr19fgZmmiY2tidndpEkTEolE1KVLF+al9/f3J5FIRCtWrFAJcaxsyGNFRnYiUssC4tiY/20YGBgwFq+RkRHzuGZkZJCDgwMREc2ePZt69eql1uCt7FFt0qQJNWzYkHr27EkymUytocPJyUmB/ZiamkqRkZE0fvz4SoU6aTKSGxsbV6jwcaH78ti2bRuZmpqqCDhbtmyhxo0b0/Lly2n+/Pmkp6dHY8aMYYLr6NGjSU9PjxYvXqwS/nX16lXy8PCgyMhIEolEvMLc6tWrmeNIJBJRp06dWHvq1KkTaWtr09atW1VCl6Ojo8nBwYGGDx9O1apV42V1CwQC2rBhAxGpD+HNyMhQWNLT02nlypVkYmJCe/fupXHjxpG5uTmtXLmSMjMz6cyZM+Tt7U3m5uakra3N2OoymYw+fPhAp0+fJldXV94Ii8+fP5OnpydduHBBbSqRp0+fkq6uLvXq1YsMDQ3Jzs6OGc7t7e1JJpNRr169SEtLi1q3bs2EP3nGt1AopLZt21JYWBhpaWmpML73799PIpGIfHx8eEMJ1bFALl68SAKBgCwsLGju3LkKaaCISIW5LJ8KIDg4WMFoVVJSQmPHjmVKSo0aNWjTpk0q7eP27dvM2K3J2F+7dm2qV68eYz/Jh0UbGxuzb79161ZydXWl4uJiWrlypQJ7nkvXJBAopp6Rd7AqIzU1ldzd3SkpKYnu3r1Ld+/epaSkJPLw8CB9fX2aN28eValShWxsbGjNmjVERPTs2TPWl4uKiujw4cO0atUqGjJkCFlbW1NiYqJC2+JLq6Qp0kEgEFBeXp5aRue0adN4FyMjI+ZUICo3rs6ZM4ex3jQ5HjkBVj5ixMbGhv3PRR0VFBTQhAkTWHudMGECSzlUWfz+/ZsOHjxIvr6+GlMfce0pMTGRDAwMeCNSvL29NTLfNIWP82HBggUUHh5OP378YO+MY7NyxpZPnz5Ry5Yt1bKv7ezsSCgUUmhoKEVGRpK2tjbJZDIWNVGRE14e48ePZyx2ziDz69cv2rRpE29/MjAwUJBtEhMT2bNUZv7/d1JuVYSKHOTyqY2mTp2q0VmlDprCzwMDA6l58+YKY8K7d+/I3t6ehEIhderUidq2bUtGRkYK8lRFqCgaiWPYb9++nXx9fWnSpElUo0YNEolE7BvJzx2HDx9mbayyEXqatjVq1IjN5fPmzWNykTy8vLxo06ZNlJmZyRiUfKhMNGLHjh3JzMyMBgwYQFOnTqVp06ZRmzZt2KJJrklOTlZxYioblbgxXL7PPHv2jHR0dBTu9c6dOxQWFkba2toUGxtb4Xf8T0git27dUisLcmxWeWzdupWsrKw0OtiFQiFLudKvXz8aOnQoEZXLFvKp09SxTDUxCTWNpVx0X8uWLcnf31/BCHv79m2qWbMmtWrVioiIDhw4QN7e3grnroxzUBOmTZtGQqGQAgICKDIyUqHtREZGajTcVZQqU51TQywWU9OmTVX2j4yMpMDAQCJSn8JFE4tUkwFU3gERHx9PNWvWpIsXL5K+vj7bJzU1lXx9fdVGQYnFYrpx44bKfV+/fp1kMpnG1ElSqZQ3InrmzJkUExNDDRs2pO7du1PNmjVV9pFPh6a8JCcnM7nl8ePHdODAATpw4IAC47kiuUedbDNt2rQKHSWaoKndW1paMlKClZUV6erqkqenJ3MCVkSK6tixowLJAwCJRCISiUQs8lWZzS3fjs6ePUu6urq0detWto7738PDgzkz5NvQsmXLSEtLS6MeGRkZSd27d6eSkhKFY8+ePUtWVlYao8OaNWtGq1atIqJyecfCwoKqVKlCEomEkdTUwdfXV60uYGlpSfn5+TR+/HheGdLR0ZGRIk6cOEFGRkZ0/Phx6tu3L4lEIgWyxq1btxTSVR07dozEYjEFBASwfhIQEEA6Ojoao1yIytMCcuxwTl8oLS2ljh07koeHh0aZW939NmvWTO31MjIyNMq+586dIy0tLZUxTSAQKBjRpVKpWvmWLwXenj17SCqVspSfS5cu5dUh5cfeNm3aUKtWrcjBwYFkMhkv63/GjBkUGRnJZE11qMgB8w/+O/jHiP4PiEg11J5jejVu3JgJOE+ePKGYmBiqXbs2eXh4ULdu3ZhQqy5kydDQUK1RhYOmSdfFxUXtgNu+fXuNggDnheMgnw+0MmxsTcxuW1tbNplzcHR0pISEBLKxsVEIcVReNIU8VgbKLCAvLy/S09MjHR0dMjMz05jzlC/fHJfm4dOnT7Rw4ULmtV68eDF9/vyZLC0tK8xn26ZNG5JKpWRtbU2hoaEqysqxY8eYR5VjOQAgMzMzBcOdsqFDKBQy4YgL9+ratSu5urqSjY1NhaFOFSmTmiCTydTmlJPJZJSXl8fe9bNnzyg4OJiGDx9OZWVlVKVKFSbcyCM5OZkcHR15w78+fvxIWVlZJBKJFHJZ3rlzh3r16kUeHh7UoEEDcnd3p8WLF6uce9GiRVStWjUFx5G3tzfp6emRn58fBQUFkVgs5mV1W1paUo0aNYio8rn37ty5QzVq1KD+/ftT48aNydramrUNeaSmppJIJGL59urVq0eJiYkUHh5OERERVKVKFd7zJyYmUps2bahWrVq8qUTGjBlDzs7ONGbMGIqJiVHJSdq/f38aNWqUiqLau3dvCg8PJwBkbW1NvXv3puDgYNLW1iZHR0fy9PSkVq1asbZrbW1NDRs2VAln1MQCadGiBWVkZFBiYiK1bduWzMzMGMNjzZo1KkZ1DlwqAHnMmjWLWrVqxRQaXV1dZghT7i8ANCq43PHyocfykEgkTMju0aMHi2jIy8tjfV0+PZFAIKDY2FgFhbNPnz68Yb61a9dm31Eex44dIyMjIwoLC6OuXbsSAOaQOH78OLm5ubH84fJ5ggGQvr4+iUSiSqVV4kNpaSlpa2v/sUFTOQJqzpw5FBYWxoTTyjge5Q1K3bp1o7CwMNq2bRsFBwez/IXqUBHD8dKlSzRw4EAyNzcnqVRK3bt352VD5efnU/PmzZkBzN3dnTkOlSNSYmJiNDLfNIWP37hxg+WW5VBWVkb9+/dnNSbk35lIJGJKwp07d8jW1pY3PZqrqysbq4jKo3AEAgFrP5pYT/JtY9myZaSnp0dRUVHk7u5Onp6ebE6SzxEsD+XaAo6OjvThwwf2/38y//OltRg+fDiNGDGCJkyYQBs2bKDLly+rncvVwdjYmO7fv09ERIGBgbzOKu79jB49mjp37qwxlFvZYJGTk0Pu7u4kFotZlJRYLCYtLS2Wzmf//v0sIquyqCgaSZ5hv2PHDhIIBDR+/HjS19dnCrby3MFn6JZHfn4+xcTE0KlTpxTyvH/9+pVFTbi4uFDVqlVJIpGQiYkJWVlZkZaWFq1Zs0ZF4ZZIJCytkjLLTR6VMTTr6empTcdSGWjKL21mZsaMFfJ9Zt++feTs7ExE5Ubmbt26MWe+vBFYUzqOs2fPVkgSUYdatWqplQU547c8cnNzSSQSaUzFwrWP379/k52dHUvxc+/ePcZg1sQy5cZNPtnZzc1N7VjKOWBfv35NISEhKmNqs2bN6M2bN+To6EjW1tZkZWWlELWmpaVFNjY2Kufmcw7ywcrK6o/7IIfRo0drZG6rw5QpU0goFFLDhg2ZftawYUOSSCRqmcYcKko3WlH+dyLSWNdLV1dXbcpKdfmwb9++TVKpVGPqJHV68ePHj8nQ0JB27dpFLi4upKOjo2Jg5aKwuIVLU6Gjo8NSpP3fcMQSVVxTTBM0yRC1a9dm375bt25kampKvXr1omnTppFEIqmQFCXvFN+6dSsBoOfPn6uQPDRB/p7ksW7dOrK1taUdO3aQvr4+bd++naUHGTBggEY90sTEhMnUyo5HTam7hEIhmZqaMvlw3bp15ObmRnfu3GE1yzRFzGvSBZQdnsqQl/Xj4+Opf//+RPSvujvyNTMWL15MYWFhjNzj6+vLG+08duxYsre3V0iVNnr0aJLJZFSvXj16/vw5ZWVlkYWFBTVv3pzEYjF16NCBPDw8yNLSUmOb03S/3FjNh4qM6NnZ2SQSiVjecw7KRnR17YZIfQo8AGRvb19htLQySktLqX///jRt2jQV9ntZWRkNGzaMEXaU64T8SVpB+ToPt27d0rjvP+CH6P9u2dJ/8P8X+Pr68lY/rlu3LjZs2AAAcHFxwbp163iP56ouu7q6Kqxv06YNUlNTMXz4cLXXXrlyJdauXYuuXbsiOTkZY8aMYdXgHz9+jLVr1+LmzZv4+fMnxowZg/v376OwsBCXL1+Gi4tLpZ/RwcGB9391EIvFKs/D4fPnz2jevLnCumfPnuHx48eYOXMmioqK2Ho/Pz+Vat7+/v6851WuLs4HvkrxX79+RbVq1fDlyxe4uLjAy8sL2trabHtxcTHevHmDrKwshe/M3df169cRFhYGXV1dBAQEAAAWL16M2bNnw9vbG5cuXYKHhwdatmyJkSNHIisrC/v27WNV442MjNC+fXu19xwWFsb+//nzJ/z8/LBhwwZ4eHjA0NBQpXo8ABQWFoKI4OvrCwDYvXs3GjdujG3btuHy5cto06YNysrKAAAzZsxA69at0bBhQ5iammLnzp0AgF69elX4Pjn8/fff+PnzJ/vduXNnrFq1CosXL1bYb+3atejWrRucnJzw+vVrWFhYICUlBRKJBIsXL8bHjx/x4sULVmldHvXr18fr16+hra2N9+/fK2wzMTFBZmYmRCIRhgwZgpcvX6KsrAxjx45FdnY23r59i8TERLRu3Rrh4eEq546IiMCECROQnZ3N1u3YsQPz5s3Dtm3bUK1aNRgaGsLCwgIAYGxsjPfv36Nq1apo3Lgx9u3bBwCIjo7G8OHDsWfPHty8eRPt2rXjfV8nT56EhYUF4uLiUKdOHZSWlqJatWoq+3HrMjIy0KhRI0ycOBHt27dHSUkJBAIBli1bxnv+0NBQLFy4EHPmzMGrV68AAFOnTkXz5s2xZcsW6OjoIDk5GUOGDMGlS5egpaXFjtXS0sKIESNQv3593L9/Hz169EDNmjVZn/j9+zecnZ1x8uRJODs74+zZsxAKhbC1tVW5D/m2K49Zs2Zh9erV6NmzJ3bs2MHWBwYGYtasWahRowZq1KiB+Ph4AEBmZiaWLFmCwYMHo6ysDKWlpSrnbNGiBcaPH49WrVph165dyM/Px9evX5GXlwcbGxvY2NjAysoKT548gaOjo8Kxly5dgkwmw9mzZzWOi7Vq1UJBQQGrIi8POzs7XL16FSYmJjh27Bh7rk+fPgEAvL298fjxYwCAm5sb3Nzc8PDhQ3Z8/fr18fTpU4VzcmNMVlYW77jr4OCAHz9+QCQS4c6dO9DW1mbf4ejRo2jevDmGDx+O8PBwrF69GjKZDNeuXYO2tja6d+8ObW1tHDhwAH5+fujbty86d+6MgIAAXLt2DZ06dVL7HgBAKBTCzc0NHz9+hJubG+8+nz9/xp49e5Cbm4vRo0fDxMQEs2bNwsuXL2FpaQlHR0eUlpYiLy8PDg4OsLa2hr6+PhtLrK2tkZubCy8vLwDAhw8fAABz5szBt2/fAADz589Hr1690L9/f7i7u2Pjxo0AgO/fvyM/P19hXNq6dStWrlyJ3r17Iy0tDdHR0cjNzUV6ejo8PT3h5OSEV69eoVmzZkhMTERkZCTv+AoAycnJEAqFWL16NQAgPz+fjVu6urrs/nr06IG6devi48ePePz4MXJycgAAr169grW1Nc6fP49WrVph9OjRePDgAXx8fBTmn1GjRmHOnDmoU6cOWycQCBAWFoaLFy8CgMI7s7GxwePHj/H+/XvExMTg06dPKm3ny5cvyM3NhampKVu3ZMkSrFixAqGhobh//z4aNmyIzZs3Y+bMmeyaZWVlmD9/Ppo0aQIAaN68OW7evIlNmzahQ4cO+PHjB0aMGIG6deti+vTpCAgIQEZGhsr1V65ciXHjxmHKlCnw9vZGZmYmgPK5ODMzE4aGhirv28TEBI8ePQJQPv4qywUcvn37Bj09PZSWlrJ++ujRI2hpacHR0RFZWVkoKyuDUChUmcsfPXqEpUuXsnnA09MTQ4cOhYuLCxo0aIARI0YgMDAQN27cYPPko0ePUKVKFQDlc0bPnj0RFhaGEydOIDQ0FI8ePcLbt2/Rtm1bhfuUSqUKv93d3fHgwQOcPHmSjQvu7u6Ijo5G48aNAZTLhH+K4uJi3nnLx8cHt2/fhlAohKenJwAgOzsbbdu2xZw5c6Cnp4cFCxYA+NfcsXXrVojFYiQnJ2u8ZmFhITZs2ICrV69i7dq1CvN5cHAwunTpgoMHD2Lw4MF4+vQpUlNTMXv2bAQFBaFatWoQCoVo3Lgx+vbtiw4dOsDX1xfR0dFo0KABiAgLFy6EgYGBynWdnJxgbW0NAJg9ezZ69uyJgQMHws3NjcnidnZ2vO2LD8pyDQD2LfjQq1cvjB07Frt372b95fLlyxg1ahTat2+PuLg4rF27Fg0aNMCVK1dQu3ZtaGlpMVnIyMiIt10TEQQCAZv3LCwscOzYMSZfTJ8+XeNzZGRkqJUFu3TpgqVLl7J9f/z4gWXLlsHZ2ZmNpXxwcHDA0qVL4e3tDYFAgJCQEADl8jAntwwdOhS1atVCZmamwljTtm1b9OvXDzdv3uSVnV+8eMG+Ed9YumLFClhZWeHkyZPIyclh44K7uzvr88OGDVO431+/fuHOnTt49uwZunbtqvI8vr6++P79O0xMTDS+y8+fP/PKp/Lbb9y4gXfv3jEZm8PcuXPRunVrHDt2TGWc556dD7169cL8+fNhZ2eHXbt2QVdXF9WrV8f69esV5t6///4bd+/e5b12REQE+79Zs2YQi8UYMWIEpkyZgl69ejGZed++fXj48CE2b96MQ4cOAQDev3/PxhB5FBcXo6SkBJMmTcL06dMhlUqxd+9eWFhYoFu3bnj+/DmGDh2K7du3w8bGBkC5vlNcXAyBQIDo6GgUFxejTp06EInKTSq/f/+GSCTCr1+/cOXKFRU98sqVK5BIJOjcuTOA8r5Ru3ZtAGD6mXxf4fD48WMMHDgQo0ePxogRIzTKLfL4+++/IZFIVNbfunWLzRNeXl7w8/MDAPTt2xe7d+/GuHHj0K5dOyQnJ8PQ0FCtLsBh3759GmWIv/76C1OnTmX7v3jxAkOGDMHUqVNx6tQpZGZmwsnJCXXq1MH8+fMhFouxdu1aODs7Ayif87m2fezYMQDlbZ6IFLYpo7CwsMJ3FBMTA11dXUyaNAnfv39HVFQUbGxskJiYiL59+2o8dtiwYbzy/IsXL2Bqaopbt26pPdbDw4PNoydOnMDjx49Rs2ZNUDnJlY15yhAIBHBwcFCrC1hZWeHChQtqr2tsbIyCggLY2dnh2LFjmDVrFoDytigWizF9+nRs2LABurq6GD58OH78+IHGjRvj5s2byM7Oxq5du1TO2adPH8yfPx+6uroAgKtXr+Kvv/7CkiVLcOjQIQwfPhz79u3Do0ePsGLFCkilUhQVFaFdu3YYPHgwm/f42qWm++V798q4e/euwm8iwuvXr5GQkABzc3PMnz8fx48fR/Xq1aGtrQ0iwpQpU6Cnp6d2TOOgp6eHlStXYsGCBcjNzQVQbi8bPHiwWhlPE4RCIUaMGIHq1avD3NwcgwYNYtsEAgHc3d3Zt12yZInaaxQXF+PEiRMqY+nXr1+xb98+nDt3DkZGRgDKx/wmTZpgx44dMDc3/+N7/l/FP0b0fwCg3AAsD6FQCHNzczbx5ufnazw+Li4OI0eOxJs3bxQEK6lUiqlTp+Ly5cuoWbMm9PX1FY6Lj4+vUHF/+vSpxgFXHW7evMkMUcpKBGcwfPDgAe/2iIgIjBw5EomJiVixYoXKIBUREYH9+/dj9OjRCuvT0tLQunVrhXV/ojS+ffsWo0aNwunTp/Hu3TsVp4a6ycLQ0BABAQE4deoUr4KUnp6OmjVr4vTp03BycsKNGzfw8eNHjBw5EgsXLsTw4cMRERGBdevWKQiCMTExuH//PjN+TJ8+HUVFRdi5cyfc3NzY5KJOUenTp4/CXw4GBgZo2LAhIiMjIZPJ1Bo6tLS02OB/6tQp9m7t7OxYWwAAV1dX5OTkoLCwUK1xgk+Z1NLSwtixY7Fr1y58/PhRYVtZWRkMDQ1x4sQJ5iy4fv068vPz0bNnT5SVlbFJdvbs2ZgwYQKaNWuGpKQkCAQC7Nq1CxMmTFA4J/fe/Pz8EB0djUWLFjHF6/r16xg9ejQ6deqEmJgYzJgxA/r6+rhw4QL09PTQuHFjNGvWDHZ2djh9+rSKYH7q1CnY2dkprOvSpQuqVq2KmJgYXLp0Ce7u7nj48CEcHR1Ro0YNrFmzBo6OjnBwcGDHDh48GKamprhy5QoiIiIQGxsLoHzilUe/fv1QWFiIxo0bw83NDTo6OlixYoWKUXzFihWoWbMmMya3atUK2dnZcHd3x/79+9GqVSuVbwUAIpEI79+/R/fu3QGUGx/d3NyQl5eHnJwc2Nvbw8zMDAMGDEBOTo6KUTgnJwdlZWUVKqoA0KRJE2ZUIyIUFBTA3NycCYN8ePjwIRo1aqSyXiaT4fPnzyAi3LlzB+fOncO5c+dw6dIlfP36FdWrV1drxNizZw9EIhGio6MVjKRPnjzB5cuX0bdvXxgYGGDo0KHYsGEDBAIBXr16hatXr2LUqFFo0KABxo8fj4sXLzJhUB7x8fGIi4vD0KFDMXr0aBUluGPHjujWrRsMDAzg4OCAoKAgAMDYsWPx48cPhIeHo169egDKBeQVK1agc+fOmDFjhtr3xKFatWpISEjA2rVrIRaLAZQbBRISEuDh4YFDhw7h8uXL7HsD5QIiUK60rlmzBkKhEFpaWigpKYGzszPmz5+Pnj17YuLEiQDKjbXW1ta4du0awsPDWds9f/48Fi5cqGBYHD16NBo2bIiEhASMHj0aq1atgrm5OSwtLdn17969i5CQEMhkMjx//hz9+vWDiYkJLCwsoKOjo6BUlpWV4erVqwgMDMSdO3cqdDzWqlWLHWtjY4OTJ0+y3+/fv0fr1q1x9OhRlfdYVlaGbdu28Tqd161bh8mTJ6NTp04wMzOr8JuMGjUKEydORGhoKE6cOAErKysUFhbCwcEB9vb2uHbtGmrUqIFnz56xuYhzngDlcoIy+NoCEfE6jv38/FBQUACg3GHPvbNWrVqhV69e+PHjB0pKSngNPjKZDACwYcMGdOjQga2XSCTYtm0bgHLnRHBwsFonPFA+p969e5cZSHR1dbFq1Sq0bt0aMTExSExMxIgRI1BQUKAgw7x58wZv375F06ZNVZ6VzwAClLdnTmGWN/op4/jx4ygpKcHGjRuZIe7Lly+IiYlBdnY2WrZsid+/f+PkyZO4d+8em8s7deoET09P+Pr6IjAwEABw+fJleHl54eDBg1ixYgUGDRqEPXv2YNWqVSrOKqDcucM5+6RSKRITE+Hk5ITY2FhYW1vzkgJyc3Ph5OQEfX19uLq6QiwWY8GCBUxBGzBgAHPC/DtKpbp5a/Xq1bC2tsanT5/w/ft3AOXzYM+ePQEA3bt3x5w5cwAANWvWVJk7KoPc3Fxeg/WwYcOwbds2TJ06FXl5edi9ezcGDBiAd+/eYc6cObh9+zY2btyIESNGYMiQIQgLC0NhYSEOHToEgUCAo0ePMllLHgKBAGvWrAHwL0OzMhYtWoQxY8Zg9erVKgYUoFx5VifXAP+SI/mcdF27dsWXL19gZ2eH0tJSeHp64vfv3/Dx8cGaNWvg6uqKgwcPIjQ0lB1z5swZZsA6e/as2nd55MgRPHv2DE5OTmwd148rAicXAoqyYMuWLfH161d2fSJiTqgtW7ZoPOe0adPg7e2NgoICdOzYETo6OgDK5cJx48YBAC5evIgrV66wOYuDo6MjXr58qVZ2NjY2xuTJk9GqVSu1YymHatWq8RIQhg4dynvfGRkZCvMF926qVasGIsKQIUPw8eNHzJo1C2FhYQpz9vHjxxEUFIRt27Zh8uTJKuc+ePAgunXrhqKiIhgaGir0V4FAgPz8fBw/fpzJT8rb+cA5Nezt7bF161befYByw2jPnj2Zo1kefGOqpaUlHj58iMjISBw8eJDJzFOmTIG/vz8OHjyIZs2aASifbw8fPoy4uDiFe+XkdW7MEIlE+PHjBwwMDDBjxgy0atUKQqEQjo6OTEYuKiqCra0thg0bptFhceDAAQwYMAC3bt1iRvL09HQkJSVhwoQJ6N69O5KSknD27FmN74WDm5sbEhIS0L17dyxYsIDJLd7e3ir7lpaWYs6cOVi9ejXevn2LR48ewdnZGZMnT4aJiQkOHjyo1ogm7yh5+/YtJkyYALFYzByjnM7Ch8rIEByqVKmC1NRUAMCkSZNQXFwMQD0pSpnkIRAIMH36dHz58gXz5s1j8uK/i27duqFbt274/v07ioqKeJ0ufHpkaGgoli5dirVr1wIob1tFRUWYOnUqwsPDNZL2XF1dkZqairZt2+L48ePYu3cvatasiaysLERHR+PmzZtqj922bZtaXeDDhw9Mfucg3z8HDhyIqKgoRiJp0aIFgHKSnru7Oz59+gQLCws4OjoyHaGoqAj+/v4wNzdHRkaGigMnIyODPRMApKamon379ujfvz8CAwPZ/chkMiazy+Pdu3fo0qULb7ts0aKF2vtVR3aUhyaiqJ2dHSOa3Lt3j207cOAAI2f9/PkTs2fPVpmv5A3s+vr6qF69OvtdkaNeE3Jzc/Hr1y+ml8ojKCiIvb/evXvzHn/w4EHExcXxjuPFxcWoUaMG7t+/Dw8PDwDltrBevXohPj4e27dv/7fv+38NAlJuUf/gfwpXr17Fx48fFQy/mzdvxtSpU1FcXIw2bdpg+fLl0NXV1aj88DUjeaGXT9AXCAR4+vQpnJ2dsXfvXvj5+aFWrVro168fYmNjceLECXTp0kWjF7m0tBRLlixRMZb//PkTxcXFaN26NS+bavLkyWjbtq1aZnZpaSnatm2Ls2fPwsTERIXZnZOTg1evXiEwMJAJqNeuXcPly5cxcuRInD59mu3Lefe580skEri6uiIyMlJFAGvRogXy8/MxZMgQWFtbq7zzyMhIte/i0qVLCA8PZ6xReZiZmeHMmTOoXr06ZDIZbty4AXd3d5w5cwYjR45ETk4O7ty5oyLIP3jwALVq1WIKqjr8+PEDRMQmory8POzfvx8jRoyAg4MD/Pz8VNrIz58/IRaL8fXrV9y7dw/+/v44c+YMIiIimKHDyckJVatWRUhICPr27YsHDx7A1dUVp0+fRkhICLKysngFSA4VKZMDBgzA2bNnMXPmTMaUePnyJdasWQOpVKpgUOPw5MkTAOUsA2tra2hpaaFjx45sXX5+Pj5//ownT54gJCREwZhx+vRp7Nq1C2FhYRg1ahQ2bNiAX79+AQAznnKGYY4ZyGHnzp2MHT9s2DD06dOHGZcuX76M5ORkJCYmonv37khISGCOmLKyMmbYKSoqwvz589G7d2/cunULzZs3x8ePH6GlpYXExEQFj7cyhEKhSnskIlhbW2PPnj34+fMnUxjllbaCggIcOXIEDRs2VDjWxcUFixYtUutk2rdvH4YPH47WrVtj586drF2bm5sjOjoakydPhp6eHkaMGIHNmzdjwoQJCg6JhIQE9OjRQy2LQJ3DimOAPHr0SCPLx9nZGWvXrkVISAikUikyMzPh7OyMzZs3IyEhAa9fv0ZRURFq1KiBxo0bIygoCA0bNoSRkZGKIYqI8ObNG7x//x5mZmZYsmQJunbtqnDeKVOmoLCwEMuXL8ecOXMwd+5c1i91dHQwatQojUYDbrzlM3zKs5+uX7+OgoICNGvWjDElZTIZhg8fjmnTpikct337dsTFxfEqvcrgnDJCoZAJmllZWSgtLUVSUhL8/f2xd+9evH//HgMGDFA4tmbNmrhy5Qrc3NxQtWpVLF++HGFhYcjJyUHNmjWZ8gWUG3QCAgLYvW/ZsgXR0dFo166dQl/cv38/kpOTMXjwYHz//h2/f/+GUCiESCRizpNv375h+PDhmD9/vsK3uHLlCqKiovD8+XPeZ3369CmKiopQvXp1FBcXY+TIkez+Fy9eXGEkVLdu3ZCXl4elS5ciKCgI+/fvx9u3bzFr1iw8f/4cDx8+hIODAywsLHDy5EnUqFEDjx8/ZobKP8WNGzcQEBCAvn37wt7eHlOnTsVff/2F0aNHw9raGq9evYKHh4dGh/CUKVPUbjM1NcWhQ4fYuMDhypUraNWqFT59+qTwzr59+4YRI0Zg06ZNCAoKQlJSEuzt7VXOKxQKoaOjwxQqoFx5aNq0KTN2//r1C3Xr1kVmZiZTAivjhAfKHXd8ijTwL5lnx44dsLS0xMqVKxW2K4/f8qiI2WRra4uTJ08ydjWH+/fvo3r16rhz5w5+//6NWrVqMYfkmTNn0Lp1a8THxyMhIUHhuHHjxuHEiROVinTT19fH/fv34ejoCFNTU5w7dw4+Pj7Izs5G06ZN0bt3b6xatQo+Pj4KzFupVIo+ffowJvrq1auZE6tly5Y4evQonJycVGQp4F+kBnXYsmULfv/+rTBvFRYWMkb51q1b8fPnTwQGBmLmzJl49uwZbG1tceLECQwZMoQ5T/8EmZmZ8Pf3R7169SCVSrF582bG0Hr//j169uyJ4uJiXLhwAadOncLgwYPx8OFDdhxn8Pv9+zcOHDiA5ORkHDt2DFWrVsWDBw9w7949le9bWRgbG7MxS09PT+V9du3aVa1ck5CQgNDQUERHR/M66YBy+Tc/Px/37t1DUVERGyPj4uLQtWtXtbqAvAGBD25ubnj69ClsbW3RuHFjNi9WxgjStGlT2NnZqciC48aNQ1JSEhYtWgTgXwSgOnXqwNjYuMLzVgRjY2NcvnwZnp6eCnPApUuX0L59e3z9+pVXdu7QoQPS0tLw69cvNpYGBgay6L7169cDKJcZDxw4wEvmUTdOHD16FK1atUJYWJiKzMxF6LZv3x5NmjTBkCFDFI5dsWIFlixZgsLCQlSvXl3F2b5x40b06tWLRXLwvY8lS5aoNd4ok1jknRqbN2+Gp6cnL8u8UaNGcHNzQ2hoKKZMmaLizJaHPIv09+/fuHTpEu+9fP78GUeOHEFUVBQuXbqEFi1aoHv37khOTkZsbCwePHjAWOEXL16Eh4cHPD09kZCQgIiICGRmZiIwMBDfvn3DqVOnWASWh4cHi1qoCFu3bsWKFSsUInPi4uIQFRUFoFx34vTCyoCL6NTS0mJjgFgsViF8DBs2DJs2bcKMGTPQr18/3Lt3D87Ozti5cycGDRrEZFVlI5qrqyu8vLwwZcoUuLu7w9LSUsVRcubMGbX3FxMTAzs7OwUZgmv3bdq0gZeXl1pym7Kur0yKWrlyJYYOHcpIHnfv3sWbN2+wc+dO7Nu3T6MDj4NUKsXdu3cVHHkVoSI9Mi8vD2FhYSAiPH78GLVq1cLjx49hamqKixcvwsLCQi1h7+fPn4iKikJpaSmaNm3KnGNz587FhQsX1I7RQHk/UKcLjBo1SmFfLopl8uTJmD17Nho1aoTExEQUFBSgd+/ezE6xZMkSbN26FXl5eejQoYPK9wfK28CSJUswbtw4BR103rx5+PXrFy5evAg/Pz/4+flhxIgR6NGjB3Jzc1GjRg0UFRXh06dPWL9+vQKpJTo6GgMHDsTTp09526WzszNq166tcr+jR4+Gvr6+2iiJnJwcdO3aVSVCVpkoqoygoCCNNq979+7Bw8MDFy5cqFSEhjqMGDFC4Tc3th0+fBh///03bt++DR8fH4V9srKyUL16dV5djkNZWRnT+ZXHcZlMhlOnTjHHHocbN24gNDQUnz9/1vg8/+Bf+MeI/j+OFi1aICgoCGPHjgVQ3jn9/f3Ru3dveHh4YMGCBYiNjVUJ4+UGZC7lR82aNTVeR5PRQNOkW79+fXZvfDh16hSSkpIwcuRITJo0CRMnTsTz58+RnJyMtm3bYvfu3UzwlWdT3b59G1paWkhKSuJlZjds2BDR0dFqr7tnzx6NTKY3b96gpKQEwL+M6Fw4drVq1fDw4UMIBAJcunRJQZGSSqW4ePGi2hAuACpMX27QTUlJYSGuyjA2Nsbt27fh5OQEFxcXJCUloUmTJsjNzYWPjw+kUilSUlIU2EVAOSOuZcuWePfunUIoK1AuoPr7++Pp06cIDQ1Fu3btMGDAAHz+/Bnu7u4Qi8V4/fo1dHR0ULVqVURHR6N79+68zI0vX75gxYoVKoaO9+/fo1u3bsjPz8eIESNYKGBcXBw2btyIy5cvo0aNGmrf1eDBgzUqk+PHj8fmzZsRFBQEQ0ND3L59G66urkhJScH27dtx5MgRlXNynuHz58+jXr16CgwlsVgMR0dHjBo1Cl+/fsWSJUuYoODh4YGRI0cqOFWKi4sVwr/09fVhYGCAe/fu8TqeOOzfvx+LFi1SOPfo0aMRGRmJrl274vz58+jRowevI0ae3fT9+3fk5OSgYcOGzHCiDufPn1f4zQkhrq6ujIH16tUr/PXXXwrKxqBBg2BjY6PCBi4tLYVAIMCDBw9UBJkfP37A398fb968wa9fv9CtWzcFoYpLT3Pp0iVkZGRg7ty5uHnzJl6/fg2gPIXG0KFDMXLkSADljAB5pwJQbiT5+++/sXDhQpX3FBcXh127djHWMB/mzp2LLVu2YMOGDWjWrBmOHDmCvLw8DB8+HJMnT4azszMaNmzIy2JUDl3n3mVQUBD8/f2RnZ1doZH058+fePLkCYqKiuDp6amQGoAzavONUXl5eWqfCeAfq42MjJCenq7iVHj06BECAgIqLXR9+/YNW7duVYgIiIqKgkwm0yiwBgcHo3fv3oiKikK/fv1w7do1REVF4dChQ/j69asCi2vfvn3YsWMH/vrrL5ibm6NTp06IjY1VSSm2ePFirFu3jjEOgfL+mJSUBD09PfTr1w8DBw5EVlYWXFxcFAwoeXl5cHd3x99//12p5+YDH6MXKFdQsrKy0KxZM4waNQqRkZG4efMmqlatigMHDqBTp064evWqWqdzenq62nQeFaGsrAxlZWWsP+/YsQNxcXHQ0dGBmZkZrzL14MEDlJSU4MuXLypt/cuXL6hfvz6sra3x+/dvpKWlMSbP58+f0aZNG1hYWPCGBgPlrPJ79+6pNbK1b98eaWlp6NGjh8bn0pTSAShnm65Zswa5ubnYs2cPbG1tkZKSAicnJ5XoHg7VqlXD4cOHGRNdmTF0+/Zt/P79WyEdi1AohK+vL0sxoA42NjY4dOiQCpPs3LlzaNKkCZ4+fQoiYg5lbi53dXVVcf59/foVb968QfXq1fHu3TuN1zU0NESVKlVw9OhR+Pj4oHr16hg/fjy6du2Kq1evonnz5ujUqRPs7e0VWKxCoRBjxozBx48fsW7dOjbnZ2VlASiPiNq5c6daw1tF30cZ3LzFMcrz8/MxaNAgFBQUwNLSkjnWz507ByLiZXMBmp0ZnDH8wYMHiIyMxLNnz1hbKCgogLOzM9LS0lC1alWkpqbi27dv6NGjh4oRnUNJSQlWrlyJ8ePHMwJBp06dMG/ePFhbW7NxbM2aNQgMDMTZs2d5jY2FhYXYtGmTxvczefJkjXKNsbGxWifdokWLVKLD5JV1ZTYfX/oJdUYSExMTvHz5EufOncOFCxdw/vx5PH78GNbW1ggKCmJO4Pfv3ysYHc3NzZGZmYlu3bqhoKBARRb8+PEjr9zLh2XLlqF///6QSCRqU8lxiI+PR+fOnSGTybB27VpmgDM3N0dkZCTs7e1x5MgRXtn56NGj6NWrF+tzO3bsYI7U2NhYiMVinD59GhEREXB2dkZOTg68vb3x/PlzFrmjbKw8dOgQWrZsiYULF2LFihXo378/7t69y+scNDAwQEZGhsrY+eTJE7i7u/NG0QHAhQsX8PjxY5ZCQxlWVla4ePGiWoJBcnKywjzByTZCoRADBgxAXl6eCqGGazuGhoa4c+eOylzFETjUpRvlY/EDUOmLubm5SEhIUNAzxo4dyyIG+vXrh1GjRiEtLQ29e/fGvn37YGxsjFOnTvGeXxl8LOWK0i49fvyYt6/n5OSgS5cu7Den561YsQJ2dnYK2/gwc+ZMrFmzBsHBwQqyS05ODjw8PHDjxg21RjTOSKpuvNYEPhmCa/dv3rzBxo0bVfT11NRUNG/eHBMmTFBxLP7999/YtWsXixS4efMmI3nIZDK8fv0a6enpMDIyYiQJeSgbOJWd7ByePXumVh579eoVfvz4geHDh2PevHkqemS3bt3w+/dv7NixQ6E/duvWDa9fv66QsPfmzRu8fv0aNWrUYGPtjRs3YGhoiGrVqmmMmAc06wLKOH/+PEaMGKExxYy+vj6OHz+OBg0a8G4nIixduhSLFi1iqTZtbGwwevRo3LhxAzk5OfDz88P27duRn58PU1NTHDhwABMmTMDKlSsRHh4OmUzGojFv3bqFz58/o7S0FGfPnv0j4666sQH4F5FTntA5fvx4ZpsByslrM2bMgEQiwZMnT5Cbm4tGjRpBV1eXzWt8iI6OxrJlyyCVSjXaigDN8o2ybMKNl02bNsW2bdvg4+OD5cuXK+zD2TXmzp3Le86rV69i3rx5EIvFCs/KQZ2d6c6dO2jcuLFK1Pk/0ID/Tmr1f/D/V1hZWSkURJkwYQIrJEpEtGvXLvLw8FB7/KFDh6hx48Zqt0+fPp0VX5PH9+/fafr06USkuYpwRVXZnZ2dWREL+cJkYrGYwsPDiai8SApXAPXBgwdkZWVFpqamFVYC/0+wZMkSateuHX358oWt+/z5M7Vv354iIiKoZs2apKOjQyKRSKEIhIeHh0KRJj4oFyoTCoWkpaVFEolEociEo6MjhYaG0okTJ6hBgwYai3DGxcVRlSpVaMeOHZSfn0/5+fm0fft2qlKlCgHgLYL15s0bEovFREQqxVGqV69OpaWltGvXLqpatSpt27aNQkJCSE9Pjzp27EjHjh3TWAC1Ivz48YPWrFlDLVu2VCm8IQ87Ozs6e/YsEZUXJOOK/GzevJlatGhB+vr6lJeXR0TlxWK54mVPnz4lsVhM379/V3vu3r17KxRV+3fw+PFjOnbsGLtOWVkZRUREVFj0VBNkMhldunTpj46pzDXPnz+v0E85/Pr1i86fP69QaFUZS5YsYUXIEhMTWWFRAGRqakrz5s2j1NRUSk1NpYSEBLKzsyN9fX2qVq0avXnzRuV8r1+/Jh8fH+rQoQMZGhqye+cKmMlj8ODBpK+vT506daKhQ4fSsGHDaNiwYaStrU1RUVG893vgwAFq0KABZWVlqX0fZWVlrPAQNzZJJBJWCFkdfv36RZs2beJ9LiIiJycnNgZUtsgrUXlxs0GDBpGpqSkbH01NTWnw4MH0+fNntccNHz6cFQxSV9DQ19eX/P39VY4dOXIkDRo0SOPz8mHRokUKRUYzMjIUlvT0dFq7di1Vq1aN9u7dS+np6QoF6QCwhW+O4LZxBX7UFfdSV3xp/vz5RERkbm7OvoV8YaGjR4+STCaj2rVrk6WlpdpiPunp6bR582bavHkz3bx5U+Ea48aNI5lMRg0aNKARI0bQiBEjqGHDhiSTyUgsFlODBg1IKBSSubk5689Pnz4lLS0tVjR7xYoVpKurSyEhIWRkZEShoaEkFospICCAfbuAgADS0dGhEydOaPwmv379ounTp7PihxXhzp07FBYWRgKBgOrVq6d2v8TERAoLCyNnZ2eSyWSs6LGRkRG5u7uzYlF8cHZ2ZvMWH/bu3Vthoc4fP37Q9evX6eDBg5SWlkbz58+nvXv3siKcFRUI5oqFEpUXm5w8eTKNGjWKqlevTidPnuS95qJFiyg8PJwKCwvZusLCQtZe5WUYvgUAOTk50b59+6igoIAKCgpYYUdzc3Pav38/bd++nYyNjRXmcpFIRLt27VK4F6FQSGvXriU7Ozu11+bWE5XLB4sWLSIiohkzZpC5uTnFxMSQg4MDtW3blgwNDVX6k0AgoGvXrpGhoSERlRe+1NPTY9vfvHmjsbjXfxNBcoW1g4KCyNDQkBXX9vPzI319fTI0NCQzMzONxb6aNGnC7rm0tJSOHj3K5q5jx46xQs/KUC5klp6eTgMHDiRjY2OqUqUKTZw4kZ4+fUoXLlyg4OBgcnd3p+7du5Oenh5ZW1uTvb09ubm5UUJCAm3cuPGPiqFz0CTX6OvrayzUWr9+fUpKSqKuXbtScHAwNWnShOrVq8cW+QK/ygtRuZxgaGhIdnZ27F3a29uToaEhKy5OVF6M7dixY9SrVy8SiUSkpaVFRUVFFB0dTVpaWmwsF4lE1KdPH149gqhcHu7Zsyf9/fffCuvfv3/POzb8aQHggoIC8vT0JA8PDxKJRFS3bl0yNTWlqlWr0tu3bzXKznwFT+VRu3ZtmjJlChH9a3759u0bRUREsGKJ8kWjuTlNIBDQrFmzNJ7b3t6eFi5cqLJ+4cKFZG9vr/Y4TQWiicqLaMfFxWm8Nh9q1KhBHTt2pAcPHtCnT59UioUSEUVHR1NSUpLKscrtjCssXREqKirIITc3l+mDRUVFFBsbSz4+PtSuXTt6/vw5nTp1ilq1akXOzs7k7OxMrVq1YmN/UVERDR48mMzNzXnHViKikpISKigooLy8PIVl7dq1pKWlRZaWllSjRg3y9fVli7JsIxQKydLSkrp27UqvXr2q8JkkEgnrk/Kyy/379wmAxmKplpaWvEVLuX6hbiEitXpAWVmZQtFJeX09MTGRAJCBgQErHsxB09yhXPyRD5oKC8svmuQxAwMDqlmzJgmFQtLV1VXRI9XJCBcuXKDWrVtTZGQkvX//ngwMDOjBgwd08eJFCggIUCioy6cL5ubmUvXq1RWKkcrP4f8OsrOzFYoP379/X6VAua2tLesPFUG5uPinT59o8ODBFBERoVDMfsqUKTRr1izy9vamfv360e/fv9m2379/U//+/UkoFCq0y7S0NPr58yfdvn2bdHV1VYqop6Wl0bp162jdunVq56RZs2ZRcHAwO6eBgQHVqVOHyQdWVlY0c+ZMatq0KXu3XF+Jjo6mESNG/PE7rizKysooLy9PrZ3h0qVLJJFIKl2MOScnh9q0aUNaWlpkb29PK1as4D1vREQENWrUiF6+fMnWvXjxgho3bkxt2rT57zzc/wj+MaL/j0NHR0dBiQ0MDFQQzp49e0YGBgZqj3/8+LGCsqQ8IAuFQtq0aZPKcR8+fKjUJFBRVXY9PT2mLFhZWbEKw1ZWVmyi8PHxYdXCr1y5QoaGhmRkZFRhJfD/BDY2NnT//n2V9QMGDCChUEgLFy4kHR0d0tXVpb59+5KpqSklJibS8ePHKTQ0lFXcrgzUVQxfunQp9ejRg8RiMU2bNo327t1LRESPHj0id3d3EggEZGZmRqdOnaKSkhKKj48nsVjMJmiRSETh4eEkEAho8+bNChPXvn37aPDgwVS1alUiItLV1WXfoWPHjszIk5+fr/A+nz9/TtOmTSNnZ2eyt7enb9++kYuLC02dOvWPK837+vqSgYEB6ejoUNWqVRWUDT8/PyKqWJn08fGhc+fOERFRcHAwjRw5kojKhTqhUEhSqZT69OlDly9fZtfVpHhzi7LjgVO4uXb/4cMHtZN2cHAwWVlZ0ciRI2nbtm0qQkNFcHR0pAcPHvBui46O5l3q1atHurq6Gq8pFAp5BVbumTRtB0CLFy9W2TZx4kTS19dXERBbtGhBtra2CoZWZRw9epQEAgFra+pgampKhw8fVlmvyWFlZGTE+oJEItFY8bykpITu379P169fp2/fvrH1TZo0UbsIhUKm4Cijb9++ao2kffr0oR8/ftD8+fOpRYsWVLNmTfLz8yMfHx9WGb5///60ZMkSWrJkCfXr1485I+QNekT/Gqu9vb1p69atlJaWRt7e3ky4rFKlCltsbW1JS0uLvLy8qG/fvtS3b1/y9vYmQ0NDGjJkiMb3z2HTpk1smTFjBllaWlJ0dDRbxwd1TlpNhhxuOXPmDD1//pxcXFyYI0Ieq1atIldXVxXFVn7p3LkztWnThn7+/En6+vo0bNgwysvLY/PLwoULSSKR0MyZMxXG8YKCAmrQoAEJBALWZgQCAQUGBjIjdUxMDM2YMUPlvmbOnElmZmZ07NgxmjJlCslkMurRowe9ePGCxowZQ05OTmqdzjVq1KCxY8eqnHPs2LFsTNQEfX39Cueep0+fUrdu3ZhTzMbGRu14Q1SutNnZ2VFRURGtWbOGBg0aRCNHjqRNmzYpOH35Fq5NGxkZqZz3+/fv5O3trdGgc/ToUTI3N+d1sAgEAiIqn0e49idvbNi5cycb19zd3enOnTtkaWlJBgYGZGhoSEKhkOzs7Gjjxo108+ZNyszMZIu5uTlzKstjw4YNZGJiQufOnaPk5GSysrKicePGsXF23LhxZG1tTatXr6aYmBiF+VgsFlO/fv0oNTWV9u7dS3fu3KG0tDRyd3dnzshevXqRkZERJSQk0IULF+jChQvUr18/kslkNGPGDDp37pzGhYjo48ePTLkqLS2luXPnUnh4OI0YMYIKCwvJwsJCpb8KhUJavnw5WVhYEFG5EV1+nPxPjei/f/9WMew2bNiQjaec81R5mT17NrVo0ULFmREZGUm1atWqlHHlT8EZ7hYtWkTe3t6kra1NkZGRdPDgQSYHvHjxgmbNmkUODg7MMLpjxw4qKysjAwMDysjIqPT1fvz4ofLcmuQaW1tbkkqlrJ/b29urOOn4nM7cUhE0GUkcHBxo/PjxVK9ePZJIJOTn50fDhg2j1NRUKiwspP79+5OzszMdOXKEPcvhw4fJxcWF3N3deZ0IAoGADA0NqXbt2vT69Wu2/r/puPn16xelpKTQ6NGjaeDAgbRu3Tpm+OCTnXV0dEgmk9HEiROZg4IP8oZEIyMjNmZkZGSQg4MDM5xwy8iRI6l169ZkZ2dHQqGQGjVqRJs3b+Y1wmzcuJG0tLSodevWNHPmTJo5cyZZWVmRQCAgf39/BXm1bt26bPH39yd7e3uaOnUq7dmzR0UWbNOmDRkaGpKTkxO1bt2a2rZtS02bNmWL/Dgov0gkEjp48KDG91xcXEwtW7akXr160cKFC5nTilv+FBkZGax/aVq0tLTUnuOvv/4ikUhEXbp0YffRtWtX0tbWphUrVtCgQYPIw8ODOWM3bNhAM2fOpCpVqtDChQuZM5zPaWlvb08JCQl//Fwcnjx5QhMnTqQuXbow2fvIkSN079498vf3p5SUFCJSnNemT59OJiYmGo1o6hwlS5cuVVgWLFhAUVFRZGJiQnPnziUizXoCAF59PTc3lwDQokWLSFdXl6ZOncqOi42NZXO1OpIHt/wn0CSPiUQiysvLoylTppC2tjbTI48cOcK+JZ+MoKWlRVKpVCNhT5Mu6OzsrNEAX1RURJMmTaJ69eqRi4uLgkODM4Rzy8WLF+no0aPUuHFjCgwM5DXQy7fPsLCwP7JDVBYSiYS9A3nk5OSwMY1rlwKBgDIyMqhx48ZqCTPyBAA+NGjQgA4cOMB+y/cFIqKUlBQyMzOjsLAwKigoUNh+7Ngx8vT0rPSzvX37lsldFTl3iMrlK21tbY22jzt37lBUVBR5enpSzZo1KTo6WmX/ly9fUkxMDGlpaVGtWrVo2bJllJSUpHYcT0pKIl9fX9LW1maOQW1tbfLz86s0ieYflOMfI/r/OOzt7Rk7pKSkhHR1denUqVNs+927d8nY2FhFSP/8+TNlZ2dThw4dqEaNGmo9pvLKqjxOnz5NZmZm7LcyW6wio+G5c+fI39+fqlatSteuXSOicgcAN5HXr1+fGdH52FQVMbM57N69mzp27Eh16tRRMdIWFBTQX3/9RWPHjlWZzPX19RkDWh42NjYkkUiIqNxgwd0jJ5jJG+8MDAw0Gu+IiDFfNGHRokW8TMGPHz+qMAaKi4vp7t27dPfuXYUJSnnSEovFVLVqVSYU+/j4UGJiIuXn55OhoSFduXKFiIhu3rxJlpaWCvc7ffp0Nsl/+/aNFi9eTLVq1SKBQEC1atWipUuXMmVIE2uPM6CqW7j70qRMLl68mAnnJ0+eJIlEwgw3ixYton379lFERARpa2uTu7s7JSQkUOfOnStUvJWN6AsWLKDDhw/Ty5cvSSKRUI8ePdRO2nzCgjzzVpPRydjYmFJSUqhDhw68zK02bdooLK1atWKKvDohhRNQBAIBvXv3TuWcDx8+JKlUqnb78+fPCYBGNnBhYSHduHGDrl+/zgweYrFY44ReUFDAlB9N/dTa2ppXkdXksFLnmPoTNqCy8WHw4MEUGBhIMpmMbG1t1TJsNUXmlJSUUFRUFJmZmdGAAQNo6tSpNG3aNKpTpw5ZWFjQqFGjVM7HsfY5A0hl2S3KjE51S5MmTSr1PoyMjBQWPT09AkA6OjpqGfbKTtp/BytXriSxWEwDBgxgrPDY2FjS0dGh1atXVzjGhISEkFQqJQAkk8lIJBKRRCJhjCllRlXXrl0pLCyM6tSpo6As5OTkUL169SgsLIyIiJfRyz2zRCKhjRs3UnZ2Nunq6pKZmRlz6OzYsYP3OT99+qRWIH/48KFa1r08NEWkvH//noYMGUJisZiaNm1KN27cIKJyRzzfcyg/Dx/k+9SiRYvI2NhYwVjRpk0bEggEZGRkxButYmNjozaig4jI1dWVBg0apLLPwoULmVNBV1eXjQHyY3GjRo1IKBTSpUuXKDY2lmxtbalPnz5UWlpKpaWlvGMm12YA8M7/Z86cYaSEpk2bMue+PFJSUqhGjRpUWFhI3759Y0qwvINOGUKhkN68eUNlZWW0ePFisrW1Zfdka2tLS5cu/Y8iv+Qxc+ZM0tXVpfj4eEpJSaGUlBRmqPL09KS2bduSUCgkExMTZqTT1dVl7Hp1DEZN4IsmEggE1L9/f/a/OkY/n/yZlZVF1tbWlX7moqIiOnz4MK1atUpl/FOW/bp3705CoZBcXV1pzpw5CqzRPXv2sAi4Dh060O7duykpKYlEIhEjXdSqVYuuXr1a4f1oYr9qkmuWLl1KtWrVYg7q8PBwBSedUCjkdTpXFpqMJADIwsKC5s2bR58+fVLZx9TUVG2/AUB6enoUFxenEAXA9bm2bduSjY0NG5cqY0TXFGnGzc+aWKa/f/+m8+fPU2FhoYLsXFxczORaoVCoItdysLS0ZA5IDw8Ppu9kZGQosEX5cObMGerRowfp6+uTTCaj2NhY9uwcrl27RlFRUUwW4ljUfPJqRdFdXB9TJ+/K63t/0hflwfUFAwMDcnBwUIgMsLKyUssGV4eMjAwSCARs3lBexo4dS7q6uqSlpUVnzpzhZbfb2trS8uXLVdavWLGCbGxsNEa7GhkZUaNGjejIkSN0584dlYg7qVSqYNBTh7KyMpXx+9y5c4xgIRaL2Xnmzp1L7du3p9TUVJLJZJSQkEB6enq0YMECiomJIW1tbVq/fr1GIxqfo0R+4XsXnMNRkx7ARSwRKerrO3bsYDrT1atXycrKitq3b0/fv3+n+vXrs3bz35BD1UGTPCYUCuncuXOUnZ1NWlpaTI/08PAgiUSiVkYYNGgQaWlpaSTsadIFtbS0NBrgu3TpQtbW1jRmzBhasmSJgoODzxYDgOrVq0fZ2dnUunVrateuHX348IEEAgH9+PGDTp06RTVr1iQDAwMVO4SWlhbJZDIyNjZWiZCpVq0aW1etWjW1jrTMzEyqX78+r+6zf/9+FoXx3zTuWllZKeh4ZmZmCr8fPnzIjPVEijJgbm5uheMwUXkEdPfu3UkkEilEUHXr1k1jFDARkaenZ4XzvTp8/vyZxowZQ7q6ulSvXj214zbfOF5WVkYnTpygZcuW0bJlyyocS/8BP/4xov+PY8CAAVSvXj26cOECjRgxgkxNTamkpIRt37JlCzNw8glFYrGYrly5ohKyZGhoyAwPysZgjsXFpQHgY4tV5GHkQpLGjh1Ls2fPJqLyiVgkEpGrqytpa2uz8/OxqY4dO8aY2Y8fP1ZgZnNMvsTERDIwMGCGg9jYWAoJCSGZTEZdu3YlPT098vb2JpFIRL6+vmRkZEQymYyaNGlCUVFRvOHYnLBPVG5U4lLl5ObmsrQUFRnvfv36RZMmTWLvUSgUkqGhIU2cOJF+/vyp8J7atm1LzZo1I21tbbWs6Y4dO1JcXJyCt1Yejo6O9P79e43taPfu3aStrU1CoZBCQkLY+jlz5lBoaChL5yKRSKhDhw50+PBhlXDohw8f0pQpU8jNzY1EIhE1a9aMhg4dqiD07t69myZMmEC2tra8YZ/KqEiZVMbz589p7969KqFsb968oYULF5KPjw9pa2tTeHg4paamqjwDZ/wRCoU0e/Zs9nvMmDFkamrKhARLS8s/mrQrahf29vbk4OBADg4O5OfnR1KplAwMDMjb25uXoS+P0tJS6t+/P82bN4/3HXLtRCgUUsuWLRXaTkREBBkaGpKDgwMJhUKKjY1VMCjEx8dTnTp1SCKRaGQD88HGxoYuXryosj4tLY15/K2trSkxMZGkUinFxcWRUCiksWPHUsOGDcnIyIgmTpxICxcupEGDBqkoIX/qsFKGJhaIJsPQ1KlTqXXr1uTs7EzLly+nK1euMAHz1q1bNHDgQI0Co6GhoUq6HgcHhwpZ+w4ODkRElQ4v/XdQXFxM2dnZKoKzOjx69IiCg4Np7969vE7azp07U40aNejNmzfUvXt3sra2Ji0tLZW5iIg/LJUzSuzbt48CAwPJxMSETExMKDAwkFJTU4mo4lQyREQDBw6katWq0axZszRGQHHjuEQi4Y1yuHnzJovM4WP0EpUz9jlG7/3798nMzIyKi4vp1q1bGsdhjnWnnM6DqJxVbWdnp/ZYDqtWrVKJgtm5cyeb7/z9/en48eMKx6hLucKF4u7du5csLCx4Q3Hlv1G7du14jRXTp08nCwsL3mgVTjlVB6lUyhwcyuCii5ycnJgCIT8WGxgYsH787ds3EggECil5Tp06RVKplDcKol27duTo6Eh79+5l8/+ePXvIycmJevbsSUTlxnt1Dg8AFT4b0b+c6Hxh7cph1hw+ffpEx48fp5SUFIXoEK4taorM4Nr8li1bqG7dumysNDc3p0aNGjGjWvfu3alHjx7sd0BAAAUEBGhkMGoCXzTRuXPnmLNRHbNeV1eXlixZonI+eWdGRbh9+zZZWVkxZqG2tjZzGkgkErVGHT5oaWnRhAkTVL6LvBH9xo0b1LRpUzp37hx9+PBBhcBCRBrZr1u2bFG5rrJck5KSQhs3biSi8jFJ3klnbGyskT1dETQZSezt7alt27ZkampKNjY21LVrV1qzZg27nq6uLm9Uy71795hjysXFhUJCQpiznRsTiMpTZOnq6lJKSkqljOg2Nja8/WzPnj0kkUiYXKOOZbp//37S0dHR2Ff55Fqur0VGRtLatWuJqDw1mqurK82aNYv8/f1ZCoLS0lJ6+PAhXbx4kc6fP6+wEJX387Vr11L9+vVJKBRS9erVNT7z/w3Ij3379+9n0V/c/L969WqytrZWG7nDtUtLS0uaPXu2ilytjg0uFAqpQ4cOKox1ebmbrw3Ipz3o2bMnNWjQgPT19UlHR4caNGhAEydOpJMnT9L3799JX1+f17j66NEjRoRSF+0KgLKzs9W+tz59+tCqVavUbk9KSiIvLy8Si8UkFovJy8uL1q1bR0REdevWZWm35OetYcOGka2tLRERXbhwgUJCQsjc3Jx0dXUpMDCQpWzSZET70+ic3Nxc0tbWpuHDh2vUA2xtbXn1dbFYrDCH5eXlsfQ2165d+69FlGiCJnnMwMCAEhMT6f79+0y+09HRIQA0ZswYIuKXETijuybCniZdUF4O4DPAa0rdqSyT3L59m4KDg5ldxNTUlKW5FQqFLHLo5MmTZG9vr6JjtmnThtasWUPJycmMvMMtAGjUqFHsfz7iHedE27FjB9nb29OCBQvo4sWLdPHiRVqwYAE5OjqyaKz/pnFXnVNX/hsBYLKY/DdIT08nExOTCq/RqVMncnNzo2PHjrF5+tixY+Tu7k6dO3fWeKxy6lD5dKTqIuy+fPnCIko8PT2ZLvMP/t/jHyP6/zjev39PDRs2JIFAQFKplPbt26ewvWnTpjRhwgQV5WTixInk5eXFBATlHONz586ljRs3MiaU/GC8bds2xlQmUs8WIyIVQSsjI0MhJEkZV65coUWLFqk1CGvC3bt3qXnz5hQbG0tERO7u7owpJj+wTp48mSwsLDTmMvz27RtvOLZMJmOsBV9fXxYyt2PHDjI3N6/UfQ4YMIAsLCxUhFQrKysaMGCAwr69e/emyMhIkkgkKoKQvb09WywtLZmywGdorwxev35Nt2/fVjBWtm/fnmQyGVWvXp2WLl1aoTGew9WrV8nX11et8LR161aKiIio1Lnk8ezZM6ZM/vz5k5o2bVrpNDLXrl2j/v37k46ODjk6OpJMJiNHR0cF5hTHmhEIBGRnZ6fApHFxcSEzMzO6du0aGRgYqEza379/p8WLF7NJe9y4cQqC6OjRo9XmgdTEyOdj6CsjJyeHrKysVNZ/+vSJ6tSpQ7179yaBQKDCwu/fvz85OTlRYGAgCQQCql+/voIhITQ0lPr370/Tpk3TyAbmQ3R0NDVq1EjBqUdUbhB0dXWl2rVrU3R0NLm7u7McnvJMp3HjxtHgwYOpTZs2JJPJVFg1/v7+5O/vz+uUWLRoUYWGJE0sED4HDYfHjx9rZHsB0BhG6eHhoWKYrgxrn2Mia6oHYWBgoDENDXcu5Wu9e/eOWrVqpZbRrQnp6em8IdcCgYDs7e3pypUr1Lx5c/L09KSVK1fS/v37FRxrq1ev/q/njbxy5QpNmTKFpZIpKyujqKgoEovFZG5uTjKZjDkclBlV5ubm5ObmxpRpeVy/fp1cXFyIiJ/RGx8fT3p6eiyl2uLFiyk4OLhSLGKOdaeczmPu3LlkZGTEG6qsDHXtkVsyMjJU5uQuXbqQq6urytgkEAjo+fPn5O3tXalQXHXGisePH5O+vj5vtEpFUJdjVx5z5swhT09PunbtGkmlUrp48SJt2bKFADCFn0g1DFiTka64uJgGDhzIHLbc/D9w4EBWf6Bq1ao0evRolWNHjx5NOjo6ChGB8uBzogOgYcOGqTjRlXHgwAEWNSSTyRQiQzjHoabIjP+2MUOewagJ6qKJKkKPHj0qdGZUhMaNG1O/fv2otLSUtYH8/Hxq1KgRc7LxQdngef78eQoPD2fO7VWrVrF2LG9Ef/ToEWMw86WAIFJf6yUpKYlq1qzJ7qGyMoS8k06d07myqMhIwo0be/bsoeXLl1Pbtm1JW1ubbG1tqWnTptSxY0eFe/z+/Tt17NiRMVU/fPhAjRs3JldXV3rw4AF7NxxSUlJIIpFQdHR0he11ypQp5OzsrMAQ37FjB+np6ZGvry+1bt1aI8u0Tp06VLNmTbV9VRnKcm1FubivXr1KTk5OvEYp+WfLzc2liRMnkomJCYlEIpXr8qX84dtHPt2Kprbz69cvOnnyJK1evZo5hF6+fEnfvn2j2rVr80YyyBvSlCN3uGcxNjbmdXqqY4ObmpqSlpaWxtz2jo6ObH8u7YG2tja1bt1aIRLh169fdOnSJZozZw6FhYWRVColsVhMZmZmrEaKPBYsWECdO3fWGO2qra3NSwThMGfOHDIzM+NNXxMWFkb6+voq6b4MDAxo8uTJpK+vzwys8nMTV2uLD4cOHSJdXV1e4srnz5/J09Pz3yJSzJs3j3R0dCgoKEijHqCsa8nr68qO4OLiYmrTpg1JpdL/J0b0yspjISEhzCmpfM98MoJAIFBL2ONkbnUGXJFIpNEAz5e688qVKyppkzZt2kSOjo5kZmZGtWvXpr///lshpa2FhQVLL/nvpLR9/vw5my/4SAXKsrk6GZMvUkW+XZ46dYrGjx9Pffv2VUlJqg6urq4qefY5vHz5knbu3El6enqslpWBgQE9ffqUSktLqWPHjtS+ffsKn19PT4+3n1+4cKHCSFrl1KFcxKuxsbHaVFTcO9PT06OIiAgFW02DBg1IKpUyXZdDYmIiJSQkkKWlJcXHx6t1PP47abP+l/GPEf0fEFH5QCWfw5DDx48fWbEfebbF0aNHyd3dnQny6nKMb926VW0oNwdNbDF1gy8XklQR3r59S1lZWZViRs6YMYNatmzJfuvq6rKJxdzcnHmLHz16RAA05jLkoByOrY45LxaLVXLZqhN8DQ0N6ciRIyr3f/jwYVbYSx5Dhw5lKQTkIW8M7dWrF+np6ZGWlhYbjC0tLUlXV1dByeUmY3Nzc+rXrx9FRkZWmBtcT0+P2rRpo3E/DtevX6ehQ4eSlZUV6enpqXhxjY2N6f3798xLrymtSWVgZmam0Yj+5s0bWrBgAXl6epJEIqEuXbooFBQaM2YMb5GmoKAgjYaeFi1aqEzaf/31F1lbW7NJm68ACsc8+f37N+3Zs4fluty3bx9v/60sDh8+rJBe6dSpU9S1a1eSSCRkYmJCZWVl1Lt3b40pBXr37s2rnHHQxAbmQ0FBAVlaWpK9vT3NmzeP0tLSKDU1lebOnUvm5uakpaVFeXl5Cvn4dXV12T0+evSITExM/q2ct5UxJP07BVyJysN8zc3N1ebyDgkJ0Zgy5siRI9S8eXOFnOrqWPscONY+kfqx+smTJ6SlpcWbgsbQ0JDq1KmjYLjj8iyXlpZSVFQUBQYGUnp6Ounr69OJEycoJSWF3N3dWSEpdbhz5w7p6uoqOGkvXLhA2dnZjGlqYGDAWwiLqHLM+k+fPtG6deto/PjxrBDxrVu36MWLF7znbN68OY0aNYoJwHfv3iVtbW3q3LkzLVq0iPT19alp06ZExD+Op6amUkBAgELR7vT0dKpbt64CS1OZ0Vu3bl3aunUrEZUbxDw9PXlZaHzgjOj/7XQefEYP+d+cAmRnZ/dvpVzh8O8WwtOEyuTYVVcgGIBCWDo3TnPgFOQhQ4ZQcHAwBQcHU1xcnIIsU1RUxOZ/znjO4fDhwySRSMjb25vVGfDx8SGJRELTp08nX19fOnjwIL169UpBBujTp4+KE527by41krrFzc2Nhg4dqrZII1HlIjOI1BfL+xPk5uaSVCqtcL+KDLt8Buvz58/T8ePHKTIyUqMzoyLIZDLmaJTJZMxoce3aNXJ3d1d7nDqHEfd/o0aNSEdHhyIiIkhLS4sZ9GrXrk316tWjHTt20NmzZ3nz1qtjv86cOVMhvzOfDKFcm0Q5VYQ6p3NlCRWVCSfnDCatW7cmIyMj0tLSIl9fX8rKyiIbGxsyNTVlObY51rpQ+K9cy79+/aK+ffuSTCZTYKJzuHLlCiOGVIQhQ4aQl5cXffz4kbZu3Uq6urq0Z88eBWezOpapTCajo0ePqu2rnDzEJ9dyqWD40tpw0FSM8/Xr17Rp0yZq3LgxCYVCcnFxoVmzZrE5rbi4uMKCl/JYtWoVtW7dmv1WJ38+f/6cqlWrxvQFzugXHx9PsbGxJJFIeKMJTp48STo6OhqL0g4bNkzBccmhIjZ4RVBOe6DJUPzw4UPq1KkT1ahRg4RCIWP8tmzZksnbrVq1IiMjI5o5c6bGaNdBgwZRvXr16OzZs7xRJZoM/0KhkDfd17Zt28jU1JRsbW1ZNJW88XXUqFEkEAhUUqEWFRWRiYkJmZubK+RClweXQk0dlNN4+Pr6kpWVFWlpadGaNWuIqGI9QB2mTZvGOy9NmTKFRfZwaVs0kTz+E2iSx4jKHXryDj6BQFChjMDX1+RTqfLpgpwBNzAwUGMtM77Unc2bN1fIs3/37l0SiUQUExNDixYtIisrK5o6dapCStuIiAjq2bMnXblyhaKiosjb25sdz2eHcHJyUkhzxeHTp0+8UbgV1S8KCQmhSZMmqa0TlZiYSNWqVSOhUEgBAQEUGRmpkppUHeLj48nT05PXeWxkZES2trbUrVs3srCwoObNm5NYLKYOHTqQh4cHWVpaMnlOU5StnZ0dY/XLIzMzk0WFqIMygWvcuHG0fv169r+6KLuwsDBefdbOzo5q166tot9y44qJiQnp6ekxeVe+ZpO+vn6l0uv9g39BQESEf/APKoBMJkNGRgacnJzYuhcvXmDIkCFITU1Fw4YNMXLkSLRp0wZRUVH49OkTJk2ahLlz5yInJwdPnjwBAKSlpWHjxo3w9PTEtGnTIBaL0adPHwQGBqJv374q183Ly1P4LRQKcf36dYjFYo33++TJEyQmJuLFixfga+ILFixA3bp1ERgYiDVr1mD27Nn4/v07rK2tYWlpiVOnTsHZ2Rl79+6Fn58fatWqhX79+iE2NhYnTpxA8+bNcf/+fXh4eMDT0xMJCQmIiIhAZmYmAgMDUVRUVKn3evXqVVy9ehVubm4IDw9HcXExxo4di127duHjx48q+5eWlsLCwgLnz5+Hh4cHAGDEiBEAgMLCQuzcuRMDBw4EAHz58gW3b9/Go0ePcOHCBdSsWVPtfYwdOxZv3rzB169fsX//fgBA8+bN8enTJzRq1AgLFixAVlYW/P390bt3b3h4eGDBggWwsrKCr6+v2vNevHgRAoEADRo0ULvPly9f4OPjg+3bt+PZs2do2rQpunXrhnbt2sHAwEBh302bNiEyMhLTpk3Djh07MG/ePLXn7dWrFwDg9OnTWLJkCbKzswEAHh4eGDZsGEJCQjB8+HDo6OggISFB5fjw8HAcP34cVatWRUxMDHr27AkTExOFfd69ewcrKyuUlZWpvQ+g/LtlZWXBwcEBxsbGuHfvHoKDg+Hv748zZ84gIiIChw8fho6ODm7evAkXFxdIpVJkZmbC2dkZALBlyxb89ddfSElJQcuWLfHy5Uu4u7sDAB4+fAg7OzscPnwYLi4uau+DaysciAivX7/G4cOH0a5dO7i4uGDjxo3Iz89Hly5d0KNHDwQHB0NLSwsSiQT379+Hm5ubxmd98uQJcnNz0ahRI+jq6uLXr1+YO3cu+vTpgypVqmg8VhnPnj3DoEGDcOLECdaPBQIBmjVrhpkzZ6J27doK/dTDwwOJiYkIDQ3FsWPH0K1bN95+xCE3NxcbN25Ebm4urly5gtu3b+PGjRv4/v07XF1d2X6/fv3CnTt3sHjxYsyePRvt2rWDk5MTjhw5wvqhMtq1a6fwm3vX6enpiI2NxcqVKwEABQUFWLduHX78+IGIiAjcv38f06dPR7du3VCzZk3o6+srnKdevXro1KkTLly4AD09PWhra6O4uBhlZWUwMDDAp0+fFPYvKSlBWFgYnJ2dsWHDBrVj9dq1a3Hr1i3cu3dP5VkaNGiA27dvY9GiRQgMDAQAXLp0CdOmTUO/fv2wYcMGpKWlISAgAIaGhrh58yaqVq2KAwcOYP78+bh06RIOHDjA+z6WL1+OL1++4OLFiwrzizw8PT2xdetW+Pn5qWwzMzPDmTNnUL16dchkMty4cQPu7u44c+YMRo4ciU2bNiEkJAQymQzPnz/Hw4cP4ezsjEmTJiE/Px8rVqxQuS9XV1f4+fnh3bt3yMjIwMSJE3H+/HlcunQJALB7925MnToVDx48AFA+jnP9RFtbGwBQXFyM379/QyQSAQD7X19fH4WFhbzPyWHKlClYvHgx4uLiUK9ePXaNFStWYPjw4ZgxY4bKMZmZmfD390dpaSkA4Nu3bwAAqVSq8VoVQXkO5sOLFy8we/ZsHD9+XKGfhoWF4a+//lL7XeWRnJyMmJgYtGjRAnXq1AEAXL9+HceOHcO6devQu3fvP7739evXY8CAAZBIJDA1NYVAIGDbBAIBnj59yn7//PkTT548QVFRETw9PWFoaIgWLVpAR0cHAHDw4EE0bdoUv3//hkwmw4sXL5Ceno6AgADWJy5fvozMzEwcPHgQzZo1q/D+CgoKsGrVKuTk5AAon5sGDBgABwcHhfvkQOXEFxw5cgQtWrRg64VCIfr3749NmzZh9erVaq83aNAgZGVlsTnlT3D48GEsWLAA69atQ58+fXDlyhWF7UQEgUDA2l9lMH/+fKxcuRLPnz/XuF/btm1x9uxZmJiYwMvLi/UxDqmpqRqP//btG3JzcwEALi4uKmOqJpibm+PKlStwc3ND1apVsXz5coSFhSEnJwc1a9ZEcXEx73FfvnxR+M3NIZMnT8bs2bMRHByMx48fY+PGjdi0aROKiorQqlUr7N27F3fv3mVzOx+qV6+O5cuXo3HjxggJCYGvry8WLlwIFxcXfP78mc156mSIq1evYv369ViyZAkeP34MAHBzc8OwYcNw+fJltdc9duwYsrOzYWRkpLD+69evaNOmDc6cOaNxvOjbty9u3ryJoqIieHh4IDQ0FI0bN0ajRo3YOb9//46tW7cq9Ilu3bpBX18fb968gYWFBTvf4sWLMXbsWJSVlam0u7dv3yInJweNGzdWez8cunXrhvT0dLx8+RLbtm1DZGQkhEKhwvWU3+Xbt29hY2OjoF/I91VOJnRzc1Mr10okEmRnZ6sdH/X19ZGZmakgi1y7dg0bNmzArl278PPnT7Rr1w59+/ZFkyZNFI4dPHgwzp49i5kzZ6JHjx7466+/8PLlS6xZswYJCQno1q2bwv4NGzbEmDFjEB4ezvu8XNuxtLSEVCrF+vXrYWpqyvY5d+4c+vXrB6lUCm9vbyQlJTE97efPn4iJicG9e/dw+/Zttd8hPj4emzdvRo0aNVC9enXWz48cOQILCwtcuHBBYf+FCxfi5s2b2LFjB1v34sUL2NjYQCgUAigfY+bNmwcrKyvMmTMHkZGRKtddu3Ytzp07h/Pnz6OkpAQ/fvyARCKBRCLRqGsqzyEA8Pz5c9y+fRuurq5MN5JvF0DlxkojIyOkp6eryNuPHj1CQEAAYmJicP36dezevRtVq1bF7du38fbtW/Ts2RNeXl44ffo0Dh8+jKCgIBQXF6N58+a4du0aTp48iaCgIN5r5uTkIDQ0FPn5+dizZw927dqF/Px8/Pz5EwDw+vVrAMCAAQMAlM875ubmCAoKQrVq1dQ+i/J3U4dGjRpp3D58+HCF379+/UJGRgbu3buHXr16ITExsVLX+VPwyVsAMG3aNLi6usLb2xvAv2QEbn4pKSnBsWPHNH5nPl3w/v37KCwsxOXLl1X0ucLCQhgbG0MgEMDPzw+5ubkgIjg6OkJbWxtZWVlwcXGBnp4ebt++rVZ2XbJkCYqLi9GuXTvk5OQgIiICT548gZmZGTZv3oxDhw6ptUMQkcpYDJSPiVWqVMGvX78AqOo2DRs25H0HDg4OOHbsmFpdKicnB15eXkhOTkaPHj3Uvks+vH37Fr6+vhCLxRgyZAiqVq0KoFxnnjt3Lr58+YJWrVohOTkZq1evRmZmJoqKiuDv74/BgwdDJBIhOjoaR48e5T1/aWkp1q5di927dyMlJQVWVlYAgDdv3qBXr15o164dYmNj/+iegXJ9Yc6cOX+sN1fmXQYGBsLDwwPr169XsCFwNi7lueEfqMc/RvR/UCn06tULvr6+KpMYh+PHj7MB+cmTJ2jdujUePXoELS0tTJw4EdOmTcPTp0/h6emJdu3aIT09Ha1atcLSpUvx/ft3dOzYEebm5vDx8YG2tjaePXuG4uJieHt7Iz4+HgCwefNmTJ06lSlcyoKJPLhmfe3aNVhaWrJ9t2/fjkmTJsHJyQkFBQWYOnUqZs+ejR49ekAoFGLLli2IjIzE5s2bERMTAzs7O0ydOhV//fUXRo8ejcDAQNy8eROGhoaYNGkS+vXrh1GjRiEtLQ1isRgvX76EWCzWaDQGgH379vGur4zgO2PGDOTk5GDjxo3Q0dFBkyZNUFZWhocPH0JXVxeOjo4AAENDQ7i7u2PgwIEVGjHMzc1x6dIlBcXN2toay5cvR2xsLD5+/FihIenfhVAoRO3atREVFYUuXbrA0tKSbeOEBQ5EhG/fvkFXVxdbt25FRESExnOvXLkSQ4cORYcOHZgx6tq1a9izZw+WLFmCnJwcbN68GW5ubioGyxMnTmDdunXsOD4QEfLz8xWMHgAwbNgw+Pj4oG/fvigtLUWjRo1w9epV6Onp4dChQwgKCsKXL1+wYsUKNmlfuHABZ86cQUBAAIDyb5Kens6+56NHj1C7dm0EBgaCiLB161Zm1P/48SO6d+8OoVCIAwcOYMmSJSoCMFBuTFBumz9//sTnz5/x7NkzNG/eHFFRUejatSsyMzPh6enJ9vPy8sL69etRt25d3ndRWFiIjh074uzZsxAIBHj8+DGcnZ3Rp08fbNmyBY8ePWLP8qf49OkTU/ZdXV0VnBny/XThwoWYPXs2AgICcO3aNXTq1Anr1q3jPef58+fRokULBAYG4sKFCxgzZgwmTpyIpUuX4ubNm9izZ4/KMZwh6dy5c9iyZQvS0tKwadMm6OnpsX2WLFmC4cOHo3fv3gptl1PqDh06hHfv3sHd3R07duxA8+bNUVxcDKFQyIzh6iAQCNCkSRPk5+ejb9++bGwrLCzEtGnToK2tjTFjxqBatWogImRnZ2PlypUoKSnBzZs3YWdnp3asNjU1xc6dO9G0aVOV61paWqK4uFjFOZiWloZBgwbh27dvuHv3LhwdHeHg4IBt27YhMDAQz549g5eXF75//86eX/5ZzM3N0bRpUxw6dAiZmZlqx6kTJ05g0aJFWLNmjUobMjY2xu3bt+Hk5AQXFxckJSWhSZMmyM3NhY+PD+rXrw9/f3/Mnz9fwTBw5coVREVFIT8/X2UuKSsrg42NDfbs2YN69eqhQYMGaNGiBSZOnAigXFH28fFhhmqg3MFXWXAOPnUwNzfHsmXL0LVrV7Zu2bJluHXrFvbs2YO5c+eqHPPy5UssXLjwj4yYyoiPj4erqyubczmsWLECT548wdKlSzUe/+nTJzx58gREBDc3NxgbG7Ntp0+fxunTp/Hu3TuVNr5hwwYA5UbzZcuWKTg84+PjmVH9T2FlZYX4+HiMGzdOpf316dNH47EXL14EADZelpWVITMzE2/evEGLFi1w4MAB2NjYICsrS+G4cePG4cSJE1i7di3vGAyon/85nD9/Xu221q1b48aNGwpKklAoxIULF9C2bVu8f/9e7bHt2rVDly5d0KlTJ43X58OTJ09Qo0YN+Pr6QiQSYdy4cbC2tlbpOzVq1GD/z5gxAyNHjkSDBg1U5vE3b97g/fv3WLlyJfr376/x2tHR0Rq3K7dLzmAdFhaGzZs3o3v37pV8SlWEhoaid+/eiIqKQr9+/XD37l3Ex8cjJSUFnz59wvXr1//ofOfPn8eIESNw69Yttq6srAyHDx/G+vXrceDAAZw4cQIhISFqz7FkyRJoaWkhPj4ep06dQnh4OIgIJSUlmDx5MjP6qJMhhg4d+sdOOgAqhmUO7969g62tLTOeqMPo0aPRuHFjNGzYEDKZTGX7x48fYWpqCgDIz89HUlISM8CUlZUhMDCQOSU5nDp1ChcuXECjRo2Qm5uLqKgoSKVSvHr1CoaGhipEDGVnLlDeXoYPH47Q0FAmU7Zp0wZv376Fubk5gHKj8t27d9kcxRnRz5w5w/usTZo0QbVq1RAbG6si13KoVasW5s2bh+DgYN5zNG3aFGPGjEHz5s0BlDuTHz58CD8/P/Tt2xdRUVG87xEA7O3tsXnzZgQFBcHQ0JAZdlNSUrB9+3YcOXJEYX9ra2tcvXqVtRV1bUckEuHKlStwd3dXmE+fP38OT09PnDt3jrVHa2trmJqa4t69e/j58ycmTZrEjFjKiIiIUHEEcHj+/DlevHiB0NBQBTn+8uXLGDlyJAwNDdm+kyZNQkZGBjP+C4VC6OrqIiQkBFpaWrzn379/PywsLDBy5EgMGjRIpc38u9A0jmdlZWHIkCFqt8fFxUFbWxuLFy9WWD9q1Cj8+PEDS5YsweDBg5GcnIzS0lKIRCKUlpYiKioKycnJWLRoEWbPno20tDRMmTIFL1++xMuXL3Hv3j0Fp4w8njx5Ah8fH8ybNw8TJ05E7969sXbtWkRHRyM3Nxfp6ekYPHgwZs+erXBcu3btkJycDENDQxXyCABGzALU6+0CgQA5OTk4e/asiowgEAgwefJkte9q2rRpKCoqwsKFC9Xu859Ambzx69cvPHv2DL9+/YJUKtWoh545c4aXwCYQCCCRSODq6soIW5wuyBGkOFKeOijrnQAwc+ZMxMfHQyaTYerUqZWSXYFyp++gQYOwZcsWDBkyhNcOsXTpUvTs2RNLly7Fpk2bFMaep0+fYsqUKfj27ZuKblNaWoqSkhLs3btXRQ4DgA4dOmD58uWwtrbmfZdPnjyBm5sbnjx5opEkxuf4AcqdGXZ2djh58qQKGWv8+PGYPn06Hjx4gLVr16pcv1u3bsjLy8PSpUsRFBSE/fv34+3bt4iJiUGVKlXY2PP48WOUlJTA3t4eQPn8paOjAzc3N42Ow/z8fLXbPD09ce/evT/SmyUSSYV9vGrVqrh165ZKu7516xY6dOiAZ8+eVfp6/+v4x4j+DyqFWbNmYdGiRQgODuZlRyor3UC5Uc3JyQm3b9+Gi4sL5s2bhzNnzuD48eO4fPkyunTpgoKCAl622Nu3byGRSGBkZISnT5/ysqBjY2Mxbdo03vuVSqW4c+eOykDi7e2N2NhYxMXF4dixYwgPD0dSUhIzauzevRvjx4/HkydPUFZWhrKyMia079ixgzGSmjVrhp8/f6J69eooLi7GyJEjsWvXLkilUgQEBGgUwnJzc1FaWopnz57h6tWrcHBwwNKlS+Hk5IS4uDhewbdWrVp48eIF6tevD6BccdDR0WEKa2ZmJn7+/Ing4OAKFXQ+GBsbIzk5WYGlIZFIsGLFCowePRqfPn2q9GT8p3j8+LFadrOyYYpjPtSpUwcvX76Et7c33r17x2uYqV69OqpUqYJx48apCKvTp0/HmjVreNlenMG2Zs2aKgyKL1++oH79+li9erVarzoA2NraIi0tDbVq1UJqaipzjqSkpODMmTO8bC9dXV1kZGSoZaDl5OTA19cXWlpauHbtGnx8fBS2cwLXiBEjkJSUhJEjR2LSpEmYOHEinj9/jtTUVEyZMkWhr1pYWKBatWro3r07OnbsyIxe2traKkb0gwcPYv78+Vi1ahVjXsijZ8+eePfuHZKSkuDh4cGUq+PHj6NDhw5YsWJFhcbDfwfK/XTr1q24du0a3N3dERsbi6pVq/IK7q9evYK+vj4+fvwIqVSKnTt3onnz5rh58ybatWuHFy9eqBzDGZKKi4t5WSAAkJGRATs7O15GXmhoKG7evAkDAwO0bNkShw4dQlhYGDP0x8XF4datW7h27Zra59XT08PVq1cVjFWAZtb+ihUr1ApVgCK7hQ9isRhGRkZ49+6dwvqHDx/C19cX3t7emDVrFsLCwhAREQEjIyPMnTsXy5Ytw549exgLVB0qctIaGxvj+/fv+P37N2Pfc/j27Rt2796tlllfUFDA5iB5pT8vLw/u7u44fvy4wrWEQiE6d+6MrVu3okmTJvj58yeMjIwwfvx49s6fP3+OCRMmYNu2bbz3q06p0vSO5fH582c8fPhQYVx0cnLCr1+/8OrVK17lCShv015eXirr5RW23r17qzVW2Nra4sCBAypK3+3btxEREcHbJyqD6dOnY8aMGahVqxav4VVeyf5vwsTEBOnp6byKl1AohIODA/z8/Hij1ZTvbc6cObh8+TLS0tIgEokgkUiQlZXFyxT08vJiTPwTJ04gNDQUjx49wqtXr9C0aVPMnDmzwnuvXr06+//bt2/Yvn07kpKScPPmTXTp0oU50QFAS0sLbdu2hY+PD6ZOnar2nOvXr8eMGTMQHR3NCAvyiIiIwNevXxXWcREj06ZNQ05ODh4/foxbt25pZB5y0NLSwuvXr7Fy5UoVh2JlGIz/Kdzd3VFWVsYcsP8Obt68iW/fvqFJkyZ49+4devbsyeTADRs2qIzDFSEnJwe1atVSG62YlJSEJUuWYPTo0bzfSL5dcMjLy8OtW7cQFRWFzMzMCmUIqVSq4qQDykkmcXFx+PDhA96/f4+HDx8CKGfFmZiYwNfXF2fOnFFwYpeWluLYsWNYs2YNI7g8fPgQy5cvV3CGxcXF8d7X58+fUVBQgPDwcBQUFMDNzY3XuTx16lReQ1peXh6aN2+O/Px8lJSU4NGjR3B2dsbQoUNRUlKiEpnBZ8ThAxGhZcuWKpEolWWZapJrORw7dgzjx4/HzJkzmV4lHwn29u1bTJo0ibWFRYsWoW3btuw98rUFDgYGBnjw4AHs7e1RpUoV7Nu3DwEBAXj27Bl8fHxU2l9l5U9dXV1cvnwZnp6eCvPppUuX0L59e7x9+xbFxcXYunUrYmNjERsbi5o1a2pkY1bEyq5MJBN3nvfv3ysw6JXJDHzIy8uDr68vzp07h+zsbPj5+SEoKAhBQUFo0KCBAkmCD5qiXeUhP47funULpaWlePHiBQ4cOKBi+Dt79iyePn0KOzs7Rly5fv068vPz0bNnTzYufP36Fe3atUNRURH8/PwU2ty4ceOwYMECODo64ty5cwgKCsKiRYvQpk0b3ufYt28fRo0aBbFYjKlTp6Jr164K33jKlCkoLCzEwIEDFb7X1KlTsXnzZkilUl6H5/bt2yESieDq6oq9e/fCzMxMZZ9NmzZhxIgRMDMzg5WVlUrUmCZD5JMnTxAQEFBhhJ8yTExM8OjRI5iZmVUomymf++vXr+jduzfatm2rkR3du3dvpKamwsjIiMlVt2/fxufPnxEaGorMzEw8f/4cp0+fZgZzoVAIa2trvHr1Su23AvjlJgcHB6SkpKBRo0ZMdj148CBz1GVlZaFx48YKz3Px4kX069cP06ZNQ5cuXdQ64IRCIYiI/VWGnp4epkyZgqdPnyroNiKRCL169UJ2djZu3Lihchx3LqFQyDsO7Nu3D3369MHIkSPVOlOWLVtWoeOnsLCQZUVQJmNxDmQPDw8FR21WVhYuX76sEmUbFRWFS5cu8WZQUIYmmUwoFKptd2VlZUhOTv4jvdnFxaXCPt6hQwdcv34dtWvXVth248YNBAUF4fv375W+3v86/jGi/4NKQZMQwxfSxsHQ0BC3bt1ihufWrVtj6NChyM/Ph7u7O378+MHLFrO2tsbBgwdRq1YtAOBlQU+ZMgU2NjZYvXq1irDapk0b9OjRA+3bt1dYr6enh+zsbGaEEIvFyMzMZKyu/Px8uLm5oaSk5N94SxVj1apVmDJlCoYNG4bZs2fj3r17cHZ2RnJyMjZt2oT09HRewbdDhw5IS0urFKNq48aNf3xfI0aMwObNmzFhwgTGhObYJH369EFCQkKlJuP/BLdu3WJCqKenJ/z9/VX24YTQ9evXIz09HZ6ensjOzlaZ0Dmh3MDAABkZGSoGRC49CReK3blzZyxbtgyWlpaMEaPOoLds2TKcPXtWo+FHIpHgyZMnqFKlCvr37w89PT0sXboUz549Q40aNfD161d8/vwZN27cYA6AMWPGoGPHjqhduzZ69uypcs5du3ZhwoQJKCwsxKFDh5hDhcPly5cRHh4OY2NjLFu2DK1atYJUKkVGRgZcXFywbNkyzJ49Gw8fPmSh0yYmJvDx8UH79u2xZ88e5jTgM6LLGzLFYjF0dXUVri8Wi3H8+HHUqFFDQfB++vQpPDw8YGJiojZFSUURBf8JlEM8OZbitm3bMHr0aMZQLi4uxps3b/D9+3e4u7srMDqVDUkZGRmYPn067/Xu37+P/fv3Y+/evQrPVVxcDCMjI9ja2uLKlSswNDSEoaEh0tPTmXCdk5ODunXr4vPnzwCAv//+GxKJROH8/v7+WLlypdqIAE2s/YqgLgXN9evXERAQoMK6jIuLQ3p6OoYMGYLfv3+jd+/euHXrFpo3b47CwkKIxWIkJyejXbt2qFatGg4dOsQbZliRk1Yd2w4oH4fq16+Pdu3a4fHjxwgPD2fM+h07dqBr1644fvw4/Pz8FNrlyZMn0adPHxQUFKicc+DAgcjMzMS8efOQmpqKTZs2qYxzXEi2/G+gfOzhvp8yOKO7ct9RRkpKCqpXr66WhfbXX3/xHjd+/HisWrUKPj4+bBxPT0/H3bt30bt3bzx48ACnT5/Gvn37eMPa1bFYnjx5Am9vb/z9998a71sdrK2tMX/+fBVlU9lgqwnybMPKYvjw4TA3N8eECRNUtg0ePBjbt2+Hg4MDoqOj0b17d419JScnB71790aLFi0wdepU2NnZYfHixejYsaPCfrt27UL37t0ZU5Brc05OThoVJnlw89eFCxewfv16bN26FRKJBLa2trCxscGtW7cUnOinT5+GgYEBmjVrptGJrsmAyF2T7x6JCHZ2dtixYwfi4+OxZMmSCqPtuOvxMZf/X2HdunUYMGAA0tLSeMeVitoUEaGgoAAWFhYq43B+fj7s7Ox431VBQYHKGMCNpQkJCfj9+zeTZZXB940EAgEbXw4cOIDWrVuzbVyEZnFxMUpKSrBmzRp06dKF99ycDPHhwwe1qSJq166N9u3bY/PmzYyYwI118vchD11dXSxfvhx9+vTB3r170aVLF9SqVUuBNZyeno7OnTsjPDwcnTt3BgB06tQJe/bsgVgsRp06dTBnzhykpKTwOpdXrVoFJycnREdHo1evXrCzswNQLutrSi/y7zpQKop+4LBx40Z8/vwZ69evZ/Krl5cX+vTpo3HeAhS/NdeOlBm46lCR4Vldyp9ly5Zh/vz5Kg5RNzc3JCQkqOhMHLi2U7NmTchkMqxdu5ax883NzREZGQl7e/t/S//4b0I5Dc2fgkstt3v3bmzfvh0CgQBbtmzhZUgDQEhIiMZo18GDB7NxfO/evbCxsUG7du3Qvn17fP36FREREXB2dkZOTg68vb3x/Plz1t80pcrkIBAIFKIhlGW4I0eOoEaNGrC1tUVmZiY+fPiAoKAgpKWlKez348cPBAQEoEmTJkhKSmJ6soWFBebNm4eVK1di27ZtqFu3Ln7+/Inv378ryDzHjx9HcHAwCgoKYG5uriDj/Pz5E/v378eGDRtw8eJFtGzZEn379kXz5s1ZG3dwcMCgQYMwduzYyn+s/4OUlBSMHTsWr169+qPjNm3ahC5dukBHRwfJycka+xufITMrKwvh4eEa05GNGzcOX79+xYoVK1h/Lysrw9ChQyGVSjF79mwMGDAA9+/fZ3PC4MGDsWXLFnz9+hWJiYkaZZPPnz8zosro0aMxceJEXLlyBVOnTsXly5exadMmvHr1iqUl2rp1K5YuXYoqVaqw53327Bny8/NRt25dSCQSHDhwAIMHD8bAgQMZMU/eAcdFqcg7Q+TTKhYVFVWo28gjLi4OJ0+eRL169VTGD65damlpIS8vD9WrV1dI9cThyJEjGh0/ymkb5ZGXl4fo6Gjcu3cPsbGxCkb0OXPm4OHDhxqjbP8TZGZmKvyWTx3aqFEjHDhw4I/05ri4OJw7dw7p6ekqMgv3LouKimBsbIykpCRmZ7l16xb69+/PiDT/oJL4L+ZX/wf/Y9BUKJJbzMzMyM7OjjZv3kza2tqsOMy5c+dYAU6+iuw6OjqUn5/PfgcGBrIK2UREz549IwMDA7WFId+/f08tW7akadOm0Z49e1h1c4FAQJs2bWL7KVfTPnPmDAkEApXiEXxLReCrYO/m5saKxchfOysri0xNTTVWeq+oQMV/gtLSUpo3bx7Z2NiwQk16enpkb29PZ8+epREjRpCpqSmVlJSwY7Zs2UK1atX6j6/99u1bVtVdvshF06ZNWdGW8+fPU8+ePUlfX5/c3Nxo7Nix5OrqSm3btqVr167Rs2fPeAsVde3alebPn69yTYFAQJGRkey3VCpl38Le3p63MBKH7OxssrOz0/hM9vb2dPz4cfr9+zfZ2dmx4or37t0jIyMjOnDgAEmlUhIIBCSTyRQqdBsZGamc7/v37+Tp6Unx8fHUo0cP8vLyomvXrrGiYFevXiVvb29WIJYrOmZlZUW3bt0iImLFWOWryf/48YO2bNlCgYGBBIDatWtH+/btI21tbbp//77CPSgXQFFeNFWZx/8pJKau2Np/AhcXF5o6dSo9fPjwj44zMjJihYQNDAzo/PnzNGXKFNq2bRtvVXSBQED29vZ05cqVCs+9bt060tPTY4WXi4qKqEGDBgSAFSjmris//nDFCmfMmEE2NjYKhbsmTZpESUlJdPz4capfv77aYlUVoaioiCZNmkT16tUjFxcXcnJyYouBgYFCkRoDAwOKj4+nBQsWkL6+Pnl4eFCfPn2oT58+5OHhQQYGBrxFuoqLi+nWrVv0/v17ts7GxkZtv9JUYOvfKXQjX7ipb9++1KZNG/r58ycr3JSXl0d+fn40dOhQdsz9+/fp6NGjlJaWRikpKeTp6UkCgYCkUint27dP4fxNmzalCRMmKKyrqBgt14bUtffhw4ezJS4ujqRSKXl5ebGik97e3mRoaEhDhgxR+9wxMTE0Y8YMlfUzZ86kmJgYIiov1FWzZk3e4728vGj58uUq65ctW0YeHh5qr1sRTExMeIuH/6fvrCLExcWRTCajRo0a0ZAhQxTe8fDhw+nvv/+mbdu2UUhICOnp6VHHjh3p2LFjagtYlpaWsqJd06dPJyMjI0pISKALFy7QhQsXaO7cuWRkZETa2tr07Nkz9uxc0amTJ09qLCr8/PlzunHjBo0ZM4ZcXV3JwsKChgwZQgKBgNq0aVNhkWR1hZL/BMoFrJSL/J4+fVpjsTx5KBde+xP4+fmx4tzKBe2UF2XZLCMjg44ePcqK3iq3s8q2qdLSUtLW1uaVMeULXcrjw4cPCtdQnu/q1atH2dnZaq+pqW00btxYbdG4xYsXk56eHpmbm/MWUZOXIbi+oIyRI0eSp6cnOTs705EjR9g33bhxI9nb2xMASk9PV7inV69eKRQ1d3Z2psmTJ6uce8qUKSQSiVgxxBMnTpCRkREdP36cdHR0qG7dukSkvoinVCqlxYsXU40aNUgkElFoaCjt3LmTTExMWOFX+fn02bNnpKurq/Y9/7eQnp5OJiYmZGtrS9ra2qStrc2+taGhocbC93wF43bs2MGWigryaYKmgpdLly5V2V9TAT75tlNQUECenp7k4eFBIpGI6tatS6ampuTu7s76w6NHj2jNmjU0c+ZMmj59+v/H3pmHU7W+//+9t3kOKTJLiRAlDRSVCqU0z4rmUk6D5lGd5qR5lqHSnFKdNCKlQQOVhEbnFI0aEOH+/eG313dve+3BpnPO5/Pxuq59Xay917TX2s96nvu57/ebFi1aRObm5jR16lSpvs/g4GAaNGiQ0HiypKSEMjMzmbaIiKi0tJQ6d+7M/EZXrFgh1qxVFB8+fKDjx4/TlClTyM7OjrhcLunq6pKFhQUpKSmRp6cnjRw5Uqi9NTQ0ZH1mrlixgjQ0NATacXl5eYF+devWrWnRokVE9H/37rdv36hXr160bds2scdbUVFBR44coYkTJ1K/fv2Y78jExIRMTExYnw2DBg1iTAXFmYCbm5vTvXv3iIioVatW5OTkRBs3bqT4+HjS1tZm+ssvX76kFy9e0LRp06hv375i20ser169oqVLl5KFhQUZGhrSvHnz6OfPnwJjMFFUvR98fX2pTZs2JCcnR0uWLBG77q/g2rVrrOM1furXr886Nnn69Cnp6uoSUWU7rqWlJfD+7du3icPhiO2bpKWlkZ6eHllaWpK8vDw9e/aM3r9/T8bGxgRAbN915MiRpKWlRaamptS3b19q27YtKSoqUr169UhLS4uMjY1JSUmJWrVqxcQhrK2tycDAgNnWypUrmd8ah8OhJ0+eMP1EtrGNqGduXl4e6enpEQCR92X79u0Zk+Oqr06dOpGKigrTJurp6THjrKysLNLR0RF5fXbt2kUaGhrUp08f1r6Kk5MTnT9/noiIfHx8aMSIEfTnn3/SrFmzyMLCQujz3759q/aYjI0zZ87ING7Oy8ujRo0akbGxscjv8tGjR+Tl5UUcDocUFRWZ2IOXlxdrn6YO0dRlotdRbXi3jCRNUaCyBCopKQkVFRWYPn06U9YyZcoUfPz4EQcPHmTNFpO2JGnkyJGsxpBxcXEYMWIEa2kyL1OQ/n92VXJyMqM5Va9ePaEMQ1HfAb/eKw9e2byRkRFyc3Px5csXgRJTeXl5RiqAf7Y0Ozsb9vb2WLFiBavWZWlpKTZs2ICgoCCJ33lN4X1nPNOi5ORkqKurIzIyEn369GE+16VLF7Rt21ZIH6+6DBo0CM+fP8fWrVuZ7MmMjAwMHToURISioiJ8/foVAwcOZIw/eKWkbJI9/Cxfvhzr1q2Di4uLQJbI2bNnMXv2bDRq1AgAMGvWLGRkZMDCwkIqTTE7OzsUFxeL3O+SJUsQFhYGAwMDFBUVISsrC0pKSggPD8fu3bvx8eNHeHt7Y8WKFUypqDgDlC1btqCsrAz379+HkpISRo0ahbi4OAHTwl69eiEiIgLOzs6IiopCmzZt4Orqip49e8Lb2xvnz5/H7NmzGYM2Hrxy7C1btsDf3x+RkZH466+/MGTIEIwaNQqdO3cWqSXJj7e3N1q1aoVly5YxGUqmpqYYPHgwysvLcfz4cYnbkIUNGzbg4MGDuHfvHlq2bInhw4dj0KBBjMGLKMaMGYOIiAj8+eefjDGTlZUVjI2N0alTJwEjQ578gKWlpUCWQtUsEB0dHdy7dw8NGzbEgQMHhDQpX7x4IVFn1cDAAObm5ggJCcHYsWOZapXDhw8jLCyMyQaXxawKAIYMGYLExESMGDGCVVqDv43hzyT966+/sG3bNgHDt0mTJqFRo0YICQnBzJkzhcqei4uLsXbtWixatAgrVqxAVlYW9uzZI/Ad0v/3FWjQoIHEDG2gMju/tLQUkydPZpZVzUrhZ8OGDejfvz8jy9CoUSPk5eWhbdu2+OOPP5Cfn48+ffrg4cOHApmWvL9//vwpdP9/+vQJ6urqAqZj4vRP+eFpoVbVQuRlZ/KomkXCo2rmGT9aWlq4e/cuayZ5q1at8OXLF2RmZqJ169asMlzh4eEIDAxEcHAwo41/+fJlrF+/HmFhYRg7dqxU51iV2bNnQ11dXagUV9rvDIBUBoFVESVbAwh/j69evUJERASioqJQVlaGx48fi5VlIyKEhYVh/fr1TAZco0aNEBwcjLVr1+KPP/6AnZ0d7O3tMXfuXAwZMgQpKSnw9PQUMp3k4ePjg6SkJPTo0QPDhg2Dp6cnY1bLq5hjy/STBbYqF2ngZdNJ0/5wuVxoaWlJ7E+xVbMtXboUwcHBUFVVFVn1w/9Ztixpa2trzJ49W6T8kTT3lCgvEC6XK9CW83j16hVsbGyEvGJ4zxBZvnMekio0d+/ejYkTJ8LQ0FCoD7Fs2TIQEYYPH85UCJmYmAhJRZSWluKPP/4QMh+8evUqBg4cKFZzH6is9kxPTxdqg7Kzs9G0aVMmgz8oKAg/fvzAzp07weVyoaGhwfwuRJl48u6te/fuYd++fYiJicGnT58wdOhQBAcHw9XVlVVehJ9NmzZh3LhxUFZWxqZNm8SeC5tMZVU6dOgAS0tL7N69GwcOHABQ2acKDw/H+/fvWatgAMm+GICgRry0Jn2i4En+WFpassrASNv/bNiwIcrKynD48GEBE75hw4ZBRUWFuQerynI8fPgQTZs2FeuhdOjQIfj5+QnJYOXl5aFhw4ZMxTNvPDVlyhQYGhpi/fr1jMSSLNjZ2eHJkyfQ1tZGx44d4e7uDjc3N9jb20NHRwf79++Ht7c367ps1a4+Pj5ISEhAcXExTp06JdSO8yo8+StFtbW1kZycjObNmyMtLQ29e/fGy5cvkZOTg2fPnqFjx45QUVFh2tmgoCDs3LkTnTp1EvD94iGqIuDVq1eYOHGiWBPwqn5gU6ZMQZs2bZCZmYk+ffrg6NGjAr/P+/fvo0ePHoycnDjvJB4vXrzA6NGjkZiYiPfv3yM4OBitW7dmTEvZqFodwmtTO3fujG7duondnyikqQ7jPev5/3/79i0To4iJiRG5rra2NiIjI4Wyhk+fPo2RI0cylaPOzs74/Pkz8z6/UbyovomHh4dIv5/BgwfjxYsXIvuuixYtEsqQLygowMKFC/HkyRP4+PggIyMD169fZ2QrS0pKsGzZMixYsABAZSUXz3+Ay+Xi4cOHsLe3R3l5uUgPCVHjkz/++APe3t4CUjHVMae3sLDA8ePH4ejoCCcnJ8Yk88KFCxg8eDBrH8PT0xO3b99mtN7Z2L9/v9gq20GDBuHFixcIDAxEQkKCQLWmtGMyNvilQ6uLNL9xoPKZzKueatasmUi/ijpEUxdEr0NqoqKisHbtWqY8smnTpggODq62WzJQOYDjdSrYHNkvX76M9+/fw9XVFcbGxiJLktq2bctqDLl3716Ym5sjPj5ewNCn6gOzasC8oqICHA5HorHCnj17sH37dnh5eTGB39u3b+P8+fOYNm0adu3ahdzcXGzZsgWzZs1iHm5mZmYoKSnB27dvBR56mzdvxr59+4R033gd3yZNmjAa2B8/fsSiRYtElhfWlrwKjy9fvkBdXV2qQJIsaGlp4dKlS8zEgZqaGnx8fHD16lWmDJCtEypKsocfUQ/ely9fwtjYmDmnV69e4dmzZ4w5oTS6gaIkjHgcO3YMubm5GDBgAOOuHRkZCW1tbQwZMgQPHz4UKjl98eIFJk6cyGqAsmXLFhw/fhynT59GaWkpTExMMHLkSHA4HFhbWzOd+Dlz5kBTUxPz5s3D4cOHMXz4cJSVlTHbYoO/HLuiogLx8fHYu3cv4uLioKGhgQ8fPgCoHBzGxsYKlC336tULcnJyrC7zt2/fxl9//YXU1FSh0lRp9eWlJSsrCwcOHEBMTAxevHiBTp06Yfjw4SI7RytWrMDKlSvx48cPxpjp58+f6N+/Pw4dOiRx4iA9PR0eHh7Q0tLCy5cv8fTpU1hYWGDBggV4/fo1oqKihDQpTU1N4eXlJVZn9dy5c7h06RK6dOki0EZkZmaiXbt2iI2NFXtckgJD9erVw9mzZ8UaFvGQVo6Bp31c9XMfP35EgwYNUF5ejj59+jCyE3Z2dsw5ExFOnTolpAHOT2FhIWbPno0jR47g48ePAATL3qXRjbx+/brAoJ+nV+rj4wM5OTns2bMH5ubmuH37Nj5+/IgZM2Zg3bp1zL1Zk+ALmxaqpMGbLB3vhg0bYu3atUL3fFRUFIKDg5Gfn4+MjAy4ubmJDIZt374dv//+OxMYNjMzw5IlS5ht8mslW1lZCQUR2QgKCkJUVJTIUtyqsjW1QXl5Oa5fvw47OzvWCe+q5ObmYt++fYiIiEBpaSkyMzOlNpjjTUhoaGgAAIYOHQonJydMnz4dy5Ytw+bNm9G7d29cvHgRLVu2FJBcycjIYIKXffr0Qc+ePeHl5SUQTOA995o1awZlZWU8fvxYpoBReXk5VqxYgR07diA/P58JRi1cuBBmZmYYPXq0xFJefs1mtjaEv/3hcrkICwuTKGshLqDIu4729vaMDFlVqvpP1EbAmkdVL5Dp06cDqJQJGzt2rMDEYXl5OVJSUvDt2zfmGTl37lwBeUB5eXmEhIRIPDb++4JH//798ezZM0bKhM2npnnz5ujQoYNQH0JLSwtNmzaVOPmSlJSER48eCcluPX78GM7OztixYwd27Ngh4OmzYcMGWFhYoHfv3vD29saAAQOEAl779u3DxIkTceXKFbRv3x5WVlZYvnw5BgwYAC6XC1VVVUanW5oAzJs3b7Br1y4sW7ZMIPDCe7aJkhcxNzdHamoqdHV1ZZap5EdFRQX3798X0vbPyMiAk5OTVOX+RUVFAtc6OzsbU6dORV5enkiN+GPHjol97smCuP7ntm3bYGFhgaSkJLRv317I4LWsrAw3btzAiBEjWGU5pk2bxprwxI+9vT3Gjx8vJINlZ2eHT58+4ciRI/D09ER6ejosLCxw6tQpLFmyBO7u7hK3LY6tW7fCzc2N1evH3Nwcf/zxh0jvhqFDh8LR0RHBwcHMMnl5ebRv3x4aGho4e/Yss7xqEF1fXx9Xr16FtbU1bGxssGrVKvTq1QtpaWlo37492rZti6tXr4LD4SA7OxsWFhYICAiAtrY29u3bJza4LwlxJuBVfYYUFRUxbNgwtGzZEhMmTEBcXBw8PT2Ztu/Vq1do2rQpSkpKxHon8cwlw8PDkZKSgh49eiAgIACenp5YuXIlQkND0aNHD1YvCGkmtGShqqwNPykpKdi0aROKi4sFzB35g/dz585lnvtsTJ06FTExMZg3bx6jQX3nzh3MmTMHxsbGsLe3x8uXL/Hq1SuBZ2dBQQESExNRXl4usm+ipaUl1u9HnPyenp4erl+/LhQ4zcrKQvv27fHhwwc8fPgQHTp0QFpaGmM6yT8e4N8nl8tF586dcfnyZfTp06faHhK8SYMPHz6IvC/FUXXiJzg4GC4uLozH1d69e4XW6dq1K/bt28eMz6WhqKgImZmZMDExYeRsXFxcQEQICgpindASNyarmuhpamqKc+fOYePGjbhw4QJevXol9v4Sh7jfeB21Q10QvQ6pCA0NxcKFCxEYGMgMnJKTk7F161YsX74cEyZMABEJPFRPnjwJGxsbiTPEbNlipaWlePz4Mb58+QINDQ2RWdA3btxg3ea1a9fg5OQkZNAnbeabpEBUv3790LVrV6FZ8507d+LChQtISEjAxIkTcerUKbx8+ZJ50KxatQpz587FoUOHMHr0aOzZswfPnj3D8uXLoauri4yMDCGdzqrBRm9vb+Tk5GD06NGsDfavMG/8lWhoaODatWt4+vQp/vzzT8yYMQPy8vIYPHgwYmNjBQyQ+DuhHz58wMiRI+Hs7AxbW1tWkzRRcLlckcFMaXUD2QJp3t7eiImJYYIGq1atwoQJE5jB/8ePH9GhQwc0a9YMgwcPxsCBA1mPj80AZdmyZViyZAk8PDygoqKC+Ph4DBkyBOHh4WK/35s3b+LMmTMwMzPDuHHjcPv2bYHAl6KiIho0aMAaNH7//j2io6Mxffp05OTkwNvbm3GOByqzlIyNjXH27Fk0btwYX758wZYtW5hgZU5ODgYPHoy8vDzs2rVLaPvS6MvLws2bNzFx4kSkp6fD3t5eaOIsLy8P79+/x7Zt2+Dp6YlHjx7h+/fvGDx4MGt2IRuiskDc3Nxw584deHp6AhDUpLx79y6zPi/TtyrR0dF49uwZTE1NBbabkZHB6NnVBHNzc5w7d45Vm7yqudLnz5+hqqrKGuzlN9X09fVl/d6uXLmCQYMG4f3792I1ZmNjY/HHH3+IzF7iGfMuW7YMI0aMwNatW7Fjxw7cuXMHJiYmmD59upBuZHFxMS5fvszoB4sKZhkZGTFajlpaWrh9+zasrKxw5coVzJgxA/fv32e+t+oGX0RpobZu3VqkFuL69euRnZ2NtLQ01kG9OJYvX44VK1Zg7NixAgO2PXv2YN68eZg/fz42bNiAc+fO4eLFi2K39f79e6ioqDCB5MLCQkyZMgXR0dHMQEhOTg5+fn7YvHmzWPM1aTPCZdUWFoWysjKePHki8nqVlJTgxIkTCA8PR3JyMnr27Al/f394enpKbUDIxqdPn/Djxw80atQIFRUVWLNmDZMpuWDBAmhra+P58+dCFRD83XFnZ2eMGDECgwcPhoGBAfPckzbTj42QkBBERkaKrHJJSUlhJneqDg2qLpMmw6q2NNElXUdx1PSequoFwpuQLisrg5ycnMAEsKKiIoqKiqCgoMDc0xoaGmjevDkTvM7MzMSsWbMwbdo0lJaWCiVCvH79GpMnT2atjKmoqEBiYqJUpnHiTNTE0aVLF+jq6iIqKooJ9BcXF2PkyJFIT0/Hx48fRXr6XL16FTt27MCiRYswcOBA5h69efMmjh49Cmtrazx58gQGBgZ4/vw53rx5A3V1dSYTnXceogIwP378wKlTpxAeHo6LFy/CyckJffr0wb59+1BWVoZnz55BWVkZqqqqqF+/PpKSkn65Hn/Dhg0RHR0tNM6Jj4+Hn58f8vPzmeopfjQ1NZnn4h9//CHwHu9+SE5OFqkRz2ZALmlylx9xQUlx946kCXM1NTUmO5WfKVOmsCY88QgNDYWamhoeP34MMzMz6OrqIiEhAXZ2dmjUqBFKSkoYE3henygnJwctW7bEyJEjJW67OpSXl+Phw4cwNTXF6dOncf78eYSHhzO/Yf7v+evXr0LVrn/88QdSU1PB4XDQokUL1nYcqOw39ejRA2PHjsXMmTNx6tQpjBo1CidOnMCbN2/QokUL7NmzB9bW1sw5x8fHY/r06SgqKhIb3JeFLl26YPLkyUK66g0aNMCRI0dga2sLZ2dnocmlhIQEDBgwAO/fv2f1TiorK0NJSQl+/vyJFi1asHqQ1MaEVm3x9OlTzJkzB3FxcRg2bBhCQkKEqpl+/PiBrVu3Yu3atcjLyxO5rfLycqxatQpbtmxhqmIaNmyIRo0awc7ODhwOh8k25r9veRnoioqKIvsmDRo0qLbfDw+2DPni4mKsWLECW7ZswefPnzF+/HhERkZi0qRJACqrOl+9egUTExMAgkF0f39/FBcX4/DhwwJVvFURVSHBn3kvitTUVBw5ckRochmoTFrjn/g5dOgQ0+caP358jZP9xKGuro67d++KNGUWR9VkGl7bb2Jigj///BN5eXlSjUfr+GeoC6LXIRXm5uZYunSpUIZbZGQklixZgiZNmqBv376YMGECCgoKYGVlBUVFRfz555+MIREbkgZhsmZBjxw5Eh06dMCYMWOqcZbCZGdns2Z8//7773j8+DFr2byDgwMUFBQQExODfv36gcvlCpSY9ujRAw0aNMCzZ88AVJaA169fHyNHjpTKzFJDQwPJycmMqRg/z549Q1hYmIBBZ1BQEBo3blyj7+FX0rt3bxQUFCAmJgZ6enpQUFDA6dOnMX78eHz48AEtW7Zk7YSKkuwBRA/weZ3jNWvWMAH0qhQXFyMuLg4cDgeLFi1iHoyZmZnYunUrysvLGcmOqlQdYPCXu50+fRoFBQUYNWoUdu/ejZCQEPj7+7NmXbBNADRp0gQzZ87E+PHjAQCXLl1Cjx49UFxcLBDwEVUC7OPjg44dO7KeszR4e3uDiHDgwAGm8/vx40cMHz4cXC5XIOOGh6mpKcLCwtC/f3/W65GZmYlu3boJSVvIyu3bt3Hw4EEcPnwYX79+hY+PD5o1aybQ/vCySNzd3YUGINWRHxCVBTJgwACcOHFCZAY8D1GdyVatWmHatGkYPny4wHZDQkJw8eJFXLt2rUaBof379+PUqVOIjIwUCnyGhoZi+fLl6N69O9q1a4fffvtNIIhTFd57XC4XmpqaAp8pLy/H9+/fMWHCBJFGmDzEZS8BlR3KqKgouLu7Q1NTE/fu3YOlpSXCw8OxadMm6Onp4caNG+jRowdGjx6Nbt26YefOnTh79izi4uIAiA5mhYSE4N69e0wVyp49e9CpUyc8e/YMdnZ21TYOysvLQ0REBPbu3csqQyWJs2fPon///rh58yZrGy+JAwcOYMuWLQLZ4lOmTMHQoUMBVLZvPNkxHlUnT3jwsldnzpyJY8eO4dKlS9iyZYvARPrUqVPRtWtXbN++vdrHyk9qaiq6d+8OFRUVAVPU4uJiXLhwgdVoWhJOTk5YvXo1E5zjZ9KkSTh06BCMjY0REBCAYcOGCRhlseHo6CiVMSgAoaqyqoirgFi2bBn+/PNPhIeH4/bt2ygvL0doaCgCAgKQkJAg9rciDktLS+zcuVNklcvnz59x6dIlzJ49GytWrGCCQikpKViwYAFWrFiBrl27St3+iAq4VRdx1xEQHTx8/fo1tm/fDgUFBSYI8unTp2rdU5GRkazL9+zZg2HDhgklUnTo0AGzZs2Cj48PAGFpkv3792PdunXQ0NAQSgLhTaT07t2b9b4wMDDAu3fvBAyP2So079y5I/G8ALBKRTx+/Bjdu3dHSUkJ0/6kpaVBWVkZSkpKTJUe/3k9evQI7u7u+PDhg9jJp6qTMLw+tbOzMxQUFMSWk9+8eRPv378HEWHEiBEYM2YMc/+XlZXh0KFDSElJwbZt27B7925GXuRXM3XqVJw8eRLr1q1jzN6vX7+OGTNmoH79+nj79i1TPcVPeXk5hg0bhlevXiEsLAzu7u44efIk8vPzMWrUKISFhSEwMFCkSZ+TkxM6deok0NdnM5NjoyZBSVEyRllZWXBycsKAAQNYZTmkmUg1MjJilcFSVlaGgoICvn37JnDfpaWloWPHjmJ/x+Lkz3j89ttvsLOzw+jRo1FeXo6OHTsiJSUFqqqqOH78ODZs2IDr16/DzMwMCgoKePz4MbMuTxKSDSLCokWLWNtxDQ0NPH/+HN+/f4e9vT0KCwsxY8YMJvCXlJSES5cuoUWLFgLn/Pz5c9jb22Pr1q1Cwf2awuVyweVyMX/+fAEJLR8fH+jp6WHlypWskhyjRo3Chw8fcObMGdb20t/fHzo6OnB1dRUrAysu8QkQ3U9hQ5aK7Ddv3mDx4sWIjIxE9+7dsXTpUhw9ehQXL16EkpISgoOD4evri3379mHBggWQk5PD5MmTpTZD5Y1VJRlaS9s3GTNmDD5+/IgjR45AR0cH6enpkJOTg6+vLzp27CggQVMVtgz5jRs34tSpU5g4cSI2btzI/O548mEJCQkICQlhZPmqI9lSdWKmKvyZ92yIknrKz89H79690bhxYwQEBFQrq1waysvLERERgcuXL7NW/l+5cgWdOnXC/PnzmerW6pCQkCBwT8+cORNfv35F27ZtER0djUGDBon8fUtKoKvj11MXRK9DKkTpRGdnZ8POzg7q6upITExE8+bNsWfPHmzevBn379/HnDlzcPDgQSaIwsu2i4yMxNKlSzF69GiZjkdSg/z06VPk5ORgyJAhMpeGidL2AypLW1evXi0U9N6wYQM2bNiAdu3aoby8HMnJySgsLGR1sC8qKsL379/RoEEDmJqa4vz586zZoYBgsLF169bYvHmzUCZafHw8evXqBQcHBybIwZMwiIuLQ9euXSWe8z9Bbm4uevXqhcePHzNlyrm5ubC1tcWhQ4eQnJzM2gm1s7NDz549sXDhQtaANiC+c3zmzBkh3U8e0mqKVaVq5l3VcjdAWEKoKqImAJSUlJCTk8N8R0Dl7zInJwdGRkaMU3xubq5ACfCXL1+goKCAoqIizJo1S2wGo7hOrJqaGm7evMnICvFIS0uDi4sLa4a0srIyjh49Cl9fX9ZzkkZfXhJVZVw6d+6MYcOGwcPDQ6wcA0+rlH8ibsOGDXB3d4e6ujoaNmwIR0dH1m2MHDmyRlkg4jh16hRGjhyJuXPnIiQkBEuXLsXTp08RFRWFM2fOQFtbu9rBxqrBP16JH29QyOP58+dYvnw5AgMDAfzf/XzkyBFcunRJSEomMjISRISAgAAh2QZFRUWYmZnB29tbYoB24MCBQtlL/JSWliIjIwMmJiYwMjLCiRMn4OzsjBcvXsDOzg7fv38X0o00NDTE3LlzxQaztm7dCnl5ecyYMQO+vr4YOnQoPn/+jAULFmDXrl24e/eugHyFJCRpWksTRM/JyUHz5s3h4eGB6Oho6Ojo4OvXr8zAi23SkB9JAzQ2RAUKCwoKcPfuXRw+fBhKSko4ffq0zFrJkuDXFub3ehgzZgyeP3+OpKSkam/z/PnzmDt3LpYtWyaUoVivXj2YmJhIDIzzS69I0ubmZ+HChcjJyWEdeHXs2BH169eXqgLi6dOn2Lt3L6Kjo1FQUIDy8nJwOByRvxVxwQMVFRVkZmaKrXKxtbXFjh074OrqKrDutWvXMG7cOERHR0vd/tRWJrq46wgALVq0wPv371FUVMRUfRUUFIDD4UBVVRW6urpMMkdWVlaN7ilJGBgYICUlhSn/19PTw507d5j/s7KyYGNjAxcXF8yZM0fIl8Ld3R2JiYms90VQUBCjnVwTn5qPHz9i4MCBIqUili1bhgMHDgj4XwwbNgw6Ojqs9w/P00fSc1ySFIi4Sf4uXbpgzJgx6Nu3r8gEiLKyMly/fl1sJSlPYklNTY2R5hGFuro6mjdvjv79+4uUdystLUVwcDB27NiBsrIyEBEUFRVhZWWF0tJSLF++nKme+uuvv7Bz506sWrUKw4YNg4GBAU6dOgVnZ2doamoiNTUVTZs2BZfLhZOTE27fvg1A+Nm1detWBAYGYuDAgQJ9/ZMnTyIiIoKZMK1NeGMunsY3/zUoLy9Heno6rKys4ObmJrMshygZrOjoaFhZWSEtLU0gcDdlyhRkZ2fj/PnzNTo3IyMjxMbGwsnJCbGxsUzlW3R0NLZv3w4Oh4P+/fuzVv7yfL4kUbUd79q1q1jpLA0NDdy7dw9NmjQRuP68yeY///wTffr0EQju8yNpEpcNLpeLnTt3YubMmejcuTP2798PNTU1XL16FR4eHhg/fjx27NjBPM94E3o86QlR1ZXSVHVJU9lUNckDqJzgjY+Px8KFCwUy26tTkf3lyxesWLECmzdvhoODA1avXo0OHTpg9uzZ2LlzJzw8PHDjxg2mcuTmzZuYN28eBgwYILJdkCYxQdSYnMvlStU32bdvn5Dfz9u3b9GuXTv88ccfQs9Jftgy5HmebREREZCTk4O6ujri4+OZNoaXZMSbEJMk2WJnZ4dz587B2NhYbCVq1XNiQ5TU0/jx42FgYID169fj0aNHArI7tUFgYCAiIiLQo0cPVg+pDRs24NmzZ5gwYQKGDx/OWhXP5kHBo2rSG2/CTlVVFUlJSejevbvI511tV3DXUX3qguh1SIWtrS2GDh0qZJKzfPlyHD58GM+ePWN0ogYOHIjmzZtj8eLFyM3NhZWVlVA2Hy9blCeXIa5Mh38Qy0NSg3zs2DEAYJ29lTYLw9TUlFXbD/i/ALu3t7fAQPLcuXPYsWMHunfvDicnJxQXF6OoqAimpqb49OkT9PT0cO3aNaFBpbKyMsaPH4+NGzeyHgt/sJGnp7Zo0SKBBtvV1RVdunTBhg0bBNadM2cOLly4IFOn6u+CiHDp0iWBQVvVWd2qndCfP3/i6dOnYrPsxXWOr1y5guvXr4s9rupqiokLogOSzVXEIScnJ1TaxT+g8PLygry8PObMmSNQArxv3z68efMGy5Ytw7Zt20R2yiR1YnV0dHDmzBkm24rH9evX4ePjwxq8ady4MQIDAzFz5kzWbUurLy8OLpeL1q1bY+jQoRg8eDAzoSJJc5o3EFBTU2OqDe7duwcNDQ3Y2Njg6dOn4HA4SE5OZg1+1iQLRBLXrl1DSEiIgIb3okWL0K1bN5mCjdIG/37//XdkZGQwk6W8TNKvX7/CwcFBpJRMYmIiXFxchIIjgHQB2okTJ8LR0VHkca1fvx6bN2+Gm5sbPDw84ODggHXr1mHTpk1Ys2YN/vzzTyHdyLKyMty8eVNsMKt169Y4cuQICgsL0bdvX2RnZ8PHxwdZWVnQ1dXFoUOHRGa//vnnnzh9+rTAMyssLAyOjo44dOiQgGY1WxCdzfT67du3WLJkCU6dOsVo9JuamiIrK4tp6+/fv886KOVNzn38+BHHjh3D8+fPMXPmTAGzW0NDQ5HfsThCQ0MRHBwsViu5qgFS3759ERERAU1NTYmT3idOnKgVbeGq8H9PVSWdiEhs2TEPUYM6cdy8eRNDhw7Fq1evWGVRysvLoa2tXa0KiPLycsTFxWHp0qX47bffRO5bXPBAmioXFRUV3LlzRyjLPT09HW3atIGTk1OtT3ZIQtx15HA4iI6OxrZt27B3714BqTGezjC/XjEg+z3FL8tRWFiIDRs2IDk5WWCi5OXLl2jUqBH+/PNP1m1kZmYysiZsUgzS3Bc19anx8/PDu3fvREpF8Gfa8mNjY4OVK1eid+/eUnn6VEUa7wxZEFUxCgCLFi0S+L9Tp044efIk6tWrJzY7GqgMCj1+/Bi+vr4in2M8ioqKmOrSxo0bo1mzZqzVU9HR0YiJicG5c+egqamJ9PR0mJmZwdTUFAcPHoSLiwu4XC6UlJSYSYmqGZ9NmzZFTk6O0LmGhoZi9+7dTHZ6bcIbc0VGRmLgwIECk3e8CXN+GTF+CgsLUVRUBCLC+vXrRZpHipLBUlVVxdmzZzF8+HBERERg/PjxyMjIwI0bN5CYmMhk6ANgfnfVyUjlT0YZN24cVFVVERYWhhcvXsDCwgLXrl0TmlSUFV47Hh4eDm1tbYwePZp18sjb2xutWrXCsmXLmOtvamqKwYMHo6KiAlwuF1evXq1xcJ8f3vjl48eP6N27N5SUlHDq1ClYWFhg27ZtjARVvXr1wOFw8OXLF8jLy2P9+vVM4oWkqlKeFAgbbH0qHqGhoejXrx86derE7IvHli1bWJM8pGHNmjVYvXo19PX1sWLFCvTu3Zt5z8LCAmFhYejVqxcePXoEe3t7jBo1Cnv37pWYES9Nv/fYsWNMkgc/o0aNkirjntc3SU5ORnp6Or5//45WrVqJ7LOKgtcXtbKyEjsB3K9fP0biRprjqjr+rQmipJ6ePHmCzp07w9nZGX379q11Odv69esjKipKrPcAr7/38uVLZhlPik3UuFpU0hu/7wVP4pcXZOenvLxcom9XHb8e4RFvHXWwsHTpUgwaNAhJSUkCmQ+XL1/GkSNHsHjxYsTGxqJPnz6Ij49nMrTfvXvHmhnXtm1bjBs3DoD4Mh3+LBt+JA1sZRn4VuXz588YMGAA63tjx46FjY0NtmzZwgT5rayskJiYyAQZ//zzTxw6dAjp6elYu3Yt9PT0cODAAdasLH19fWzevFlkED09PR0GBgYAKjPovn79KjTrX1FRgUePHgkF0XlZopIoLCxEYmIiawfmV5m68OCZF4nLlreyssKaNWuwcuVKxMXFYcqUKbh69arYIPqHDx+gr68PoFKbesCAAWjatCkCAgJEftf8aGtrsw4KxJ1H1c4P///JycmoqKgQyCzlIclokxf04Z+V/vHjByZMmAA1NTVcuXIFrq6ucHFxQYsWLbBr1y5MmjSJMVSZMmUKDhw4gIKCAqFt5+bmIiQkROy59ezZE+PGjcPevXuZiaNbt25hwoQJIjPYvb29sW3bNqFAElApK7F48WJGs1pWRBlSXr16lfmbiODt7Y09e/YwgcSjR4/i4cOHiIuLY66FnJwcE6gdO3Yshg4dimnTpiE+Pl5o++vXr0f//v3RoEEDFBcXw83NDXl5eWjXrp3ETEBJ8Izh2EhNTRUIYAGVGSSzZs1iyi6rIu2AKjw8HKdOncKMGTMA/F/5/alTp1g7cjw0NDTw5MkTpkrh1KlT2LdvH2xsbLBkyRKxQR0HBwccO3ZMbBv16dMnpKWlwc3NDXPmzIGPjw+2bNmC0tJSDB8+HF27dmV0I7ds2QJPT0+oqakJaKBXzZSuqKhASUkJunfvzixr0qQJMjMz8enTJ7Glw5cvX0avXr0YKQxbW1u8fPkSqqqqePv2LVq1agVra2tGhooN3kCUHyKCsbExhg0bJlBxwm+E3KJFC5HB32fPnqFp06aM2e2YMWOgo6ODEydOMGa3stCzZ0/Mnj0bixcvFtJKXrp0KZMVxg+/LJI0MkOampp4/fq1UGAxNzdXZmMl/jagKg8fPhQajMvC3bt3BWRNHB0dMWHCBDg5OeHs2bOs2UtAZWICL5uqTZs2WLNmDRQVFbFr1y7WQSdvgq4mZoKLFi3CyJEj8ddff6GiogInTpwQqHIBgNatW2P69OmIjo5mJiTz8/MRHBwMZ2dn3L59u9rtT00Rdx2Byj7OsWPHBDRJraysUK9ePaxfv14oiF6de4rN1Bj4v0nYWbNmCVzj5cuXi/UBSk9Ph5KSEmPWXRVp7gtRvydpdc8vXLiA+Ph4JtB46dIl6OvrIy8vD8+ePROZIdu5c2dMnjwZP378ABHh9u3biImJQUhICKPXLU6XW1QV3sePH8VmTQIQeUwXLlzA9u3boaOjA0NDQ4Ht8yT5+OG/lyTdV0Dl85YtKCVOlgIA3r59i23btjFBdF6SgaurKyZOnAig8h59+vQpzMzM0KJFC+zcuRNmZmbM98SbfOTv5wFggvVV6dWrF5PoJCrLniflZWlpid69e0t9z/DGVGZmZpg5c6bI6/XixQuB/7dv347JkyejSZMmUFFRweTJk/Hs2TOsXbtWaF3+Y+FyuZgzZw7z/7Nnz7Bq1SrY2dkxFS8pKSmws7NDRUUFli9fjvXr1wuY086YMQPz58+XmAndsGFDZGRkwMDAAOfPn2ekyYqKihipOlEQEY4dOyZyEqdqEhh/O+7r6wsPDw+YmprC398fI0eOZPqna9asQZcuXZCamorS0lLMmjULjx8/xqdPnxij5fj4+FoL7vNjbW2NO3fuYMiQIWjdujUOHz6MSZMmoW3btnBycsKQIUMAVPaX+vfvL9BXMTMzk8kwXVSfioiY6qb4+HisXr1aaF1PT0+Be6U6zJkzByoqKrC0tERkZKRA8Pvly5fYvn07IiIicOLECSgpKWHatGlSBbglBXMdHBywcuVK1iB6RESE2HVTUlIEnkWurq549uwZ1qxZg6KiIvj6+mLz5s0iM5irwru/CwoKxPaZf//9d5w9e7ZW4ivVRVtbmzFwNzQ0xKNHj2BnZ4eCggIUFRXBy8sLc+bMwcOHD1mr1SRJBYlCUVFRSIGhKgEBAXB0dERMTAzrhBYbs2bNgp2dHQ4cOIDo6Gj07NkTPXr0EPK9qDruysrKwt69exEVFYW3b9/KdE5A7fsP/c9CddQhJampqTR06FBq2bIltWzZkoYNG0b37t0jIqKjR4+SgoICcblc8vDwYNZZsWIFeXp6CmynqKiIgoKCqGnTpkREZGdnR1u2bCEiInV1dXr27BlVVFTQ2LFjadGiRTU65pKSEsrMzKSfP39We92AgADavn27TPv98OED8/fr168JAJmampKqqiodP36cdV8AqLi4WOi9oqIisrW1pSlTphARUevWraldu3Z06NAhunr1KiUkJFBCQgLp6enRkiVLhNY/fPgwGRsbiz3ee/fukb6+PmlqapKcnBxpamoSAFJSUqIGDRrQqVOnRL5kYePGjVK/RLF8+XKqX78+jRw5ktatW8e6nomJCcXHx1NZWRkZGxvTmTNniIjo0aNHVK9ePZmOXRwcDoe8vb2pT58+1KdPH5KXl6du3box/zdo0IA4HI7I9Tdu3Ei+vr6s740aNUrsCwANGjSI+Tzvt8QjLy+PuFwu67YfPHgg8j0enz9/pt69exOXyyVFRUVSVFQkLpdLBgYG1LNnT+Yc+V9eXl6kqKhIAGj16tUUGxtLsbGxtGrVKjI2NqZGjRpRXl6e2P1KS2pqKkVHR1N0dDTdvXtX6P2q30ejRo3o8ePHAp/hcDiUmJhIjRo1IiKiu3fvkq6urtj9Jicn09atW2n16tV08eLFWjgT8TRo0IDi4+OFlp8/f54aNGhQo23v27eP5OTkqGfPnrRs2TJydHQkT09PkpeXp3379olcz8nJiY4dO0ZERM+ePSMlJSUaMmQIWVpaUlBQkNh9Pn36lLS1tamsrIyOHTtGy5Yto2XLltGJEyeotLSUVq1aRe3btycnJyeaPXs2FRUV0cuXL6l79+6kqalJ9vb2FBYWRu/fvxfYrqWlJXNMbLi7u5OGhgb5+/uLfbHRunVr5tnEu6++fftGvXr1om3bttH3799p79695OLiwjwXw8LC6OvXr8w2+NvuhIQESkpKoidPnoh9Vv38+ZOWLl1Kubm5rO936dKFgoODBY6LiOj69etkamoqcruSSE9PJ11dXWrUqBHp6upS586dqXPnzqSrq0uGhob06NEjmbfNY8qUKWRkZESHDh2i169f0+vXrykmJoaMjIwk3kPS8vXrV9q5cye1bt1aYnsnifz8fOrUqRNxOBzS1tYmbW1t4nA41LlzZ1JVVaXs7Gyx658/f57pC2RlZZGVlRVxOByqX78+Xbp0Sey6OTk5NH/+fBo8eDDl5+cTEdG5c+ekug5JSUnk4eFBenp6pKKiQi4uLgLtSXZ2Ntna2pKioiI1btyYGjduTIqKitS8eXPKysr6pe2PrKioqNDt27eFlg8cOJA4HE6N7qlJkyaRtbU1HTt2jFRUVCg8PJyWLVtGHA6HtX86depUsrGxEerLffnyhfLy8sjKyor69OlD7dq1o6tXr9KHDx/oy5cvzOv48eMy3xfSoq6uTllZWczfHA6HeQEgLpcrsIzD4RCXyyUul0v79+8nS0tLZrmhoSHVr1+f6fOamZkJvVRVVUlVVZUACPSP+vTpQ7169SIzMzPq3r272GPmHUPV4wLAHHPHjh3p06dPtfId8SgpKaHY2FjW4zEzM6M+ffqQr6+v0EtTU5NcXV2JqLJdnjFjBhFV9vEMDQ2JiCg6Opp5rqamplL9+vWJy+WSnJwcubm5iezraWhoULt27YSOafv27WRpaUlElc83TU1NUlNTY8Zs6urqpKWlRW3atKF69eqRtra2UB+oNqmoqCAbGxuBcUl0dDSpqqoKfI7//hL1kpOTY93H0aNHac6cOaSnp0fbtm2jtLQ0SktLo61bt5Kenh7NmzdP4nEuXryYtLS0qFmzZmRiYkI/fvwgIqK9e/eSlZUVde/enV68eMG67tSpU0lJSYk8PT1p5MiRQtdKEu/evaP169eTvb09ycvLk6enJx09epRKS0upoKCAli9fTgMGDCAvLy+aP38+vXnzhoiIrKysKC0tTeL2qwOHw2GeJ0SV12/27NmkoKBAoaGhYscQPB48eCDwunPnDu3atYuaNWvGOvblIalPRVQ5nlu3bp3QuuvWrSMTExNZTpn1mvFeHA6HBg8ezFxHdXV1ev78uUz7qQqv3ysLnp6etGrVKub/9PR0UlBQoDFjxtD69etJX1+fFi9eLHE7R48epQEDBlCbNm3I0dGRlJSUyNzcnBwdHVk/f/jwYWrcuLHUx+nl5cXcrzVlyJAhtH79eiIiCgkJIT09PRozZgyZmppSnz59hJ4LVZ9dsrJu3TqaNGkSVVRUiPyMNP29qujq6jK/32/fvhGHw6HU1FTm/SdPnpCWlhYRERUWFlJ4eDi5urqSnJwctWnThtasWVP9k/n/3Llzh3R0dMjQ0JB5DhsZGZGuri7r2LkO0dQF0euoNd6+fUv37t0TaGw0NDRIS0uLGWTWq1eP5OTkSF1dnQnAqqqqMh0UHR0dSk9PJyKijIwM0tfXl+lYCgsLKSAggOTk5EhOTo4JJgQGBtLKlSuFPv/lyxc6efIkZWRkMMtWrFghNkhbXl5OT58+pWvXrlFiYiIlJiZSeHg46evrE5fLJSsrK7p//z41bNiQADCDFS6XKzT4evjwIQEgY2NjicFGFRUVyszMFDqHpUuXUr169WjVqlWUlJRESUlJtHLlSqpXrx6FhISI/b7c3Nxo7NixVF5eLjCoAsA6eOHv3MoC20CL7WVubi7TNnjriesct23bVqZjF4ekQLeamprIIDlR5YNT0oSHKDgcDr179475v2qHr2oHeNq0afT9+3ciIho+fDgBoGnTpgm9fvvtN4FAZt++fenUqVN0+vRpys7OlnjO/fv3J0NDQ4F7iMvlkpeXV610SPPz88nd3Z01mFX1++APoqupqdHVq1eFtnf16lVSV1cnosqAsIaGBut+IyMjmfuJn5KSEoqMjKzWOfAGtNK8RAUbDQ0NaerUqRL3VVZWRmvXrqXWrVtTw4YNhbZ/8+ZNGjp0KDk6OpKjoyMNHTqUbt68KXabmpqalJOTQ0REq1atom7duhFR5QSDkZGR2HV5AdomTZqQqqoqs19VVVXS1dUlLpdL3bp1o969e5OysjIT2OZwOGRqakq+vr6sEziNGzcmDQ0NkROTAEhTU1NkEIT3YkNdXZ0533r16jHBywcPHggFqzMzMyk4OJj09fVJWVmZfHx8iEh4onXhwoU0c+ZMSkpKEvt9qaurixzQ818H/vv95cuXpKSkJHa74ggKCqLu3btTYWEh7dq1i6ZPn07Tp0+n3bt3U1FRkczb5aekpISmTp3KTM5xOBxSUlKi3377jfV3Vh0SExPJz8+P1NTUqEmTJjR79mzWoGt1GDhwIDk5OQn0GR4/fkxOTk7UoEED+uOPP6q9zY8fP4odrBERJSQkkIqKCnl4eJCioiJzjVeuXEn9+vWr9j7ZqKiooAsXLjB9nQsXLjDH9XdMdlSF178S9erZsyc5OjoKDABTU1PJwcGBzM3Na3RPGRsbM88JDQ0NZrBcv3596tChg9Dn8/LySF9fn0xMTGjNmjVMX65qwJctcChqwC/NfVEdvLy8aMGCBUT0f/2E8vJyGjBgALm6ulLLli3p/PnzTGD//Pnz5OTkRBcuXGC2UVhYKBBwEwd/UGrQoEEC/YNx48bRihUrhCZBq3Lp0iVq06YNXbp0ib5+/Upfv36lS5cukZycHO3Zs4eSk5OpefPmFBAQUK3vIjc3l7Zu3UqzZ88W6vuIY9KkSaStrU0ODg60ceNG+vjxo8D7oaGhTDLHxYsXSVlZmZSUlJgJVTYKCwvp7t27Er+Lbdu2kaKiIk2YMIGioqIoKiqKxo8fT0pKSrRjxw4iItqwYQP17duXvnz5wqxXUFBA/fv3p7CwMCosLKTevXszz+rqUDX4xv8iquwb2drakpKSEgEgKysrioqKIiKi8vJyUlRUFAiu8X4jbK/g4GBSUlIiBQUFgWOIjY0le3t7UlRUJAMDA9aEntjYWCYhQppzCg0NFZigjoiIIDU1Nab9UFdXZ+2TnT17ttrfIRt3796lwMBAUlZWpvr169Nvv/3GTHbxKC4uprVr19KZM2fEBvdlgcvlsv6mY2JiSE1NjXr27CnzmO/MmTPk5uYm8n1p+lRVkzyWLVtGPXv2lJjkISuSkqJ4L1lIT0+nhg0byrSuvr4+3blzh/l/3rx55OLiwvx/5MgRsra2FruNjRs3krq6OgUGBpKioiKNHz+ejI2Nicvl0qxZs4Q+X1RURDY2NlKNMX4FHz9+pL/++ouIKtuQlStXko+PD02fPr3WJ0758fX1JS0tLTI3N2dNFiMi6tmzp9iEHTaqTlixJb1xOBwaPXo0aWpqkq2tLcnJyUkcH0iDq6srjRo1SiBh5+fPnzRy5EjWPk0doqkLotchFkkZArxBAVsQo0+fPkwGREREBEVERFBUVBT98ccf9OnTJ3r48CERERkaGjKBczs7Ozp48CAREd24cYM0NTVlOu6pU6dSq1at6Nq1a6SmpsY0TrGxseTg4EADBgygzZs3E1Hlw6FJkyakoKBA8vLyTGMoLkhrYGBA5ubmQsFl3veRnJxM48ePJ0NDQwoICCAOh0Nv376lSZMmUdOmTUlLS4t8fX2ZICavwfTy8pIYbOzQoQNrxmtFRQWFhoaSoaGhQJZQWFiYxAGYlpYWE5jX0tJiAgM3b94kIyMjqQZV/1ZEdY5lzaKvCUpKSmJnrLOzs0lZWVmmbUvq8Hl7ewt0gN3d3enz589EVJlJDIDc3d2FXrz7nC2QWR0+ffpEt2/fplu3btVqp0dcMGvw4MHMsqqdlKFDh5K5uTmdOHGCcnNzKTc3l06cOEEWFhY0fPhwIqocPLRq1Yp1v6IGHB8+fKj2QIPXPkZERND69etJW1ubBg8ezASxBg8eTNra2hQaGioy2Dht2jSpApoLFy4kAwMDWrduHSkrK9OyZcto9OjRpKurK7byQxwaGhrMYM/Dw4MJErx69Uri/RwUFET169cnT09PgUDEhw8fSFVVlWxtbZllFy9eJEVFRSovLxebQTRq1CgaNGgQqaioCAWzVq9eTcbGxqSqqkr16tUTGQQRR8OGDZn7zdrammlLHjx4QGpqaqzrlJWV0cmTJ8nNzY1MTU2FJlrV1dWZSqBjx46JnOhQUFCgiIgI1n3o6ekx1WH89/uFCxfETmawTZ5NmzaNAgICyMHBgVRVVQWyZKrLhw8fmIxeXV1doSAEP4WFhZSenk7p6elUWFgo8z7fvn1LK1euJEtLS2rQoAEFBgaSvLx8rWVeampqsgbib926RaqqqmRjY0P79u2j1NRUJjsyLS2NevfuLbH6QVz72rZtWyYji/8a37p1i8lwlYZv374JZEB37dqVCgoKmPdXrlzJPB+IKq+htbX1L53sEIWo7DLe6927d+Tl5UUcDkegSsrLy4vy8/NrdE+pqanRq1eviKiyr3rr1i0iqgySysnJsW7v+fPn1L17d6H+YevWrengwYMCFSi8V4cOHZiXqP70gAEDaMqUKXT69OkafZ8PHz6kBg0akKenJykqKlL//v3J2tqaGjZsSE2aNKFr164JrZOUlETNmjWr0X6XLFnC9HmrS/Pmzen69etCy3v06MEk21y8eLFaSQiXLl1injHy8vLk4OBA9erVIy0tLerUqZPE9X/8+EEHDx4kDw8PUlVVpQEDBtD58+dZ+9svXryg48eP11r28IkTJ8jFxYV0dHRIR0eHXFxcBDLm2SrtiCqrMKtTaVcVtuCbh4cHaWlp0bx582j9+vWkqqpKs2bNolOnThGHw6HJkyeTqqoqhYaGEpFwX4yNzMxM6ty5s0AiT58+fSgvL486duxIOjo6NHv2bMrNzSUlJSV6+vQp6zbE9T+8vLwktnkGBgYC/bOqLzMzM3ry5Em1vkM23rx5Q6tWrSIrKytSVVWlzp07k4ODA8nJyVFoaCiVlpZSWFgYNWzYkHR1dalevXpig/uyUDWwx8/9+/eZfossZGdnC1Ug8CNtn0qWJA9ZkZQgJG21ARu8xARZUFJSotevXzP/u7i40PLly5n/X7x4wSQCicLKyoqJtfB+j3l5eaSurk7q6uqsfWYDAwOpKoejoqKoffv2ZGBgQC9fviSiykk9toqe2qC0tJTk5OSYmFJtIs2137lzJxkbG9PixYvp2LFjUlXri0t6W7duHTVt2pQA0MyZM+nBgwdERLXWf1VWVmZtsx4/fkwqKio13v7/EnXGonWIhWf8yUZKSgrWrVsHIoKfn5/Y7fA0tL59+4aYmBjs3bsXqampKC8vF+nIfvHiRbRs2ZLVWFQSpqamOHz4MNq2bStgbpGTk4OWLVtCVVUV8fHxaNGiBQ4ePIjFixcjLS0NkZGR2LVrF+7fvy92+w4ODmjatCmWLl0qoIdpYWGB06dPw8XFBd+/f4empibu3LmD1q1bIy8vD58+fULbtm1x8+ZN+Pr6Ql5eHqdPn4aamhpjOCnJzPLo0aNYsmQJgoODYWdnx+oEzdMOk1b3U09PDzdu3ECTJk3QtGlTbN68Gd27d0dmZiZsbGyQlJQkpL137do1jBs3rtZNjMrLy/Hw4UOYmppKNPIUhbe3N2JiYhh9r1WrVmHChAmoV68egEoNzg4dOiAjI6O2DlsqGjdujPXr14vUta2J0WZN3M/T0tLQsmVLVr3CJk2aYObMmRg/fjyASv3UHj16oLi4WKLW5N+BlpYWLl26JKRdf/v2bXTr1o3RgK9qzvX9+3dMmzYNUVFRKCsrA1Cp7Tty5Ehs2LABampqePDgAYDK33tVuFwu8vPzBYxegcrvslOnTqxGq9IgrXlSVSOz7du3Y+3atcjLyxO7/caNG2PTpk3o0aMHNDQ08ODBA2bZzZs3cfDgQQCCJno8RGmDdu7cGcbGxvDw8MDo0aMZc9LExET4+PhgzJgxQut8+fIF9+7dQ1ZWFioqKnD79m1GU52HoqIi5OXlBQwA+U3AJPHixQtMnDgRFy9eZPTdef4L27Ztg6GhIU6cOIHw8HDcuHEDPXr0wOjRo9GtWzdWXcOQkBDMmDEDw4YNQ48ePTB27FjMnDkTp06dwqhRo3DixAloa2vj0qVLIo9JlAEwvxbiqVOnUFFRgRkzZmDBggWYP38+Xr58idjYWHTu3BnXrl3DsGHDhLQfN2/eDHV19Wqb3Yoy2CsqKoKhoSG8vLwYfWxRiNOc9Pb2Rk5ODkaPHi2kGbl3716JmpNApV6/tPj4+CApKQk9evTAsGHD4OnpCTk5OVaDV1nR0NDAtWvXhNqG+/fvo2XLlqzeGPT/DU3NzMzg6OjI6hXB4+TJk6zL1dXV8fDhQ5ibmwv0bV6+fIlmzZrhx48fIrf54sULBAYGIiEhQeBzvOPKz89nPFs0NTXx4MEDkabYVdsfVVVVkfutKV++fBH4/+fPn7h//z4WLlyI33//ndGszsrKQmZmJlauXAkNDQ2oq6uL3Ka8vDz09fXRtWtXVl1aHvb29qymxkZGRnjz5g3U1NRgZmYm1A+7d+8ePn36hJycHACApaUlo/n8+vVrGBsbC9wjvOd3YWGhSL3piooKvHv3DomJiZg5c6ZEHxNxfPnyBVu2bBEwrx43bhwsLCzw4MEDxli2ZcuWuHz5MnJzc+Hg4MD6LOSZOQ4fPlzifkNDQ/H+/Xs8ffoUQKUueNVnKBuiDG+DgoKwadMmjBw5EkZGRlizZg3WrVvHvC/Oz8fZ2RleXl5YunQp81tq0KAB02bwtMul4dWrV4iIiGD6E48fPxZ7/wGVz3pnZ2fMnj1bYPmaNWtw584dHD16VOr9V0VdXR1nzpyBu7u7wPKEhAT4+Pjg27dveP78ORwcHIRMrsXRrFkzLF68GEOGDBFofxYtWoRPnz7h7NmzWLp0KTMm5HK5GDduHF6+fImUlBSMHj0aW7duxfDhwwX0d0NDQwEAb968weLFixEZGQltbW2Ym5tjwYIFiImJQUxMDKysrDB69GhMnjyZMTdt06YN2rRpI6THP2XKFNy5cwc3b95kPZeqRreS2jw2IiMjcf78eYSHhwuYrUrDz58/cfr0aezbtw8XLlyAvb093N3dsWfPHnz9+hUcDgeNGzdGXl4e9PX1IS8vj6lTp2LkyJE4cuSI2G3LYrAoziAeqBw3nT17Vux4X5xhemZmJtOn5lEbfap/I6I8Cfj7vUlJSQKmuNJiamqK6OhodOzYkTF6jYuLY56DDx8+hJubm9gxiKqqKp48eQJTU1M0aNAAFy9eRIsWLXDlyhV4enqivLyctc9c1a8lPj4ebdu2ZX7L27dvx6JFi/Dbb79h+fLlePz4MSwsLBAREYHIyEipfCjYENVGcTgcKCkpoVmzZjh58iRatGgh0/ZrgrhxsChjUS6XCy8vL0a3Pi4uDp07d4aamhpiY2NhYWGB58+fC3gs1Fb/tWHDhoiOjhbybomPj4efnx/y8/NrtP3/Kf6Z2H0d/8lkZmaSr68vycnJkZ+fHzPTKA5x5dS/okxHRUWFyXTgz3p48OABaWpqkrKyMjOTO2LECJo9ezYRVWZOisok5EeUBpaoEh1e1iq/pMaXL1/I29ubdHR0KCoqSuoZflFZWTXR/uratSsdOHCAiIjGjBlDzs7OtH//furevTtxOBzWGd60tDSZs6b5CQoKoj179hBRZbZm+/bticPhiJTbsLa2FsganThxokD5a35+PgEQuA4aGhpS64P/SgIDA8nW1lYq7fvaRFRmG+/VqVMnkd+HoqKiQNYDUWUmhChd5r8bdXV1un//vtDyTp06kby8PGtmvq+vL3Xo0IF69OhB3759Y7JEv337JnF/Dg4O5OjoSFwul+zs7ARKme3t7UlDQ4MGDBgg8/moqamxti2PHj0iBQUFatWqFbVv355OnjxJRETh4eHUqFEjMjY2FtBJFIWqqiqTWamvr89IIPCkayZPnkx6enqslUeiSEtLI1tbW9LU1BTQPw0MDKQGDRqwVjj06tWLgoOD6fnz56Strc2aZcjlchldQB6y6FJ+/PiRbt26Rbdu3RKZcf7y5UtasmQJWVhYkImJCeu9wGvHnz17xmQUfv/+ncaPH092dnbUt29fic9DabQQuVwu49/AX+a8ceNGJjNP1MvDw4ORTTM2NiYFBQXq2LGjTBmgop4zbBnB4lBXV2eyadj2IU5bWJysjijk5ORo2rRpQqXwtZmJ3qtXL+rYsSPTdyEi+vPPP8nNzY26detGL1++ZH2NGDFCrAyEJAwNDZnfCn/fhldFI4727duz+qkkJCRILC8ePHgwAZA5g/5XkJCQQC1btmT+53ng+Pn5Scwg8/PzI09PT1JRUaGFCxeK3IcoWQ4Oh0Oenp60ZMkS1pc4alrFFBcXJ7PsmzgePHhAAKhr165MxuGSJUvo+fPn1K1bNzIxMWE9V16FJls7z//q2LEj+fv7k5ycHNN+yMvLU0BAgMQKARcXF/L09BTI3nv37h2pqKiQkpISmZmZkb6+PsnLy0slB0hUPVkuSbx+/ZqWLl1KBgYGpKOjI/D8iIyMJDMzM9LT06OxY8cyFRv169dnqnD5SU9Pl8pf4M6dO4ycS9VKoZpW2olCRUWFecbp6ekx7XpWVhbp6OgIVVu6ubmRu7s7tWnThjgcDut90alTJyooKKBZs2aRiooKtWvXjpKSkkhPT4/p2xUUFBCHw2FkYfhJSEggNTU1sra2poCAAAoICCBra2tSV1cXK38gjaQC/++xuLhYoHrny5cvVFRURN27dyd1dXWytbVllbcRBS+jfNKkScx5urm50ZAhQ+jhw4c0c+ZM5jdy9OhRsdv6tyBKpsrExIRu3LhBRIL+RbL2qdiuxb8JUW0gf79XViZMmMD8RqZPn066urpUUlLCvL9//35ycnISuw1zc3OmarFVq1aMDFR8fDxpa2tL1Wcmqqyibd68OTMetLa2ZsYm/L+nhw8fVrvqhR9Jqgg6OjpkaWkpUQrr34K4vknLli0ZP4tZs2Yx8Zfa6r/+E5J8/63UBdHrkJq//vqLxowZQwoKCtSzZ0+JpTO/upxaHB06dKBNmzYRkWDQJTAwkLp3705NmjShw4cP0/fv30lPT48uX75MRJXa0Do6OkQkusR92rRpZGxszKp5KqpEh9dZq9opq6iooLlz51ZLX1zU4PzOnTvUp08fMjAwIDk5OakDYESVnfErV64QUWUQunv37qShocHI8fAPqogqO5fdunWjjh07SnXM4jA0NGT03U6ePEmNGjWip0+f0oIFC6h9+/ZCn6/a8WULkFcNolfHZPNXkpeXxwQ8f7XRJj9sD2oTExOhF1uAHYDAPU1UuwY7NUVUMKthw4ZkYmIisqPC5XJl0hDmBQ44HA7NnDlTIJiwYsUKOnjwoECHtrqIMk/i6b7369ePDAwMSF5ensaOHUt2dnYUExNDZWVlUm2/adOmTPmri4sL4xFx6NAhUlZWZjXRMzIyov3791N2djadP3+ekY2RJBNVXFxMpaWlEo9pxIgR1Lx5c7p58yZVVFRQRUUFpaSkEAAB8xtRupS1AS8IYm5uToaGhqxBdHHlztIizcAdgMiJDmkkzq5du1brZrcXL16UWdbLycmJUlJSWN+TpC0sCykpKTRmzBjS0NAgZ2dn2rx5M71//75W+x+vX78mBwcHUlBQIAsLC7KwsCAFBQVydHSUOMFYHRmIqsyYMYNcXV3p7du3jEZ3cnIyWVhYSAzeqqmpsfqpEEm+L3lydbU52VFTnjx5QmpqatX2wOFHVEC6vLxcpKlxTWU5qvYTebx8+VKs5AGPz58/11q7x8+DBw+Iw+EIGcvKy8tT8+bNq22eVpVx48aRhYUFnTt3jmlDzp49S40bN6YJEyaIXffJkydkZWUlZHjbrFkzRsrj5MmTrEFWUcgiy8UP/+9YWVmZ+vfvT61atRK459LT00leXp7V9E9ZWZn19/jkyROxCSq5ubnk6uoq5APj4uLCtD3fvn2jMWPGMJIfPEP4sWPHMhOq9+/fZ01AEIek4Fvz5s3p999/F1pv2bJlAtJs/KxevZp0dHTIxsZGQPKBrU2qOjHK46+//qJ58+ZR3759qW/fvjR//nyBPiEb0uoSi0ssGDBgANWvX58mTJhAixcvrtZkWlRUlFBCjY6ODvOMKioqIi6XK1EG4+8KKC9cuJCuXLnCmgTEo6pMFb9hOpsZNwBydXVlbQ+rUlhYKFOSx38b79+/pw4dOhCHwyENDQ06ceKEwPudO3eWaKg7evRo5v7csmUL47NSr169avtKHDt2jGxsbIiosk3jTXrw/56ysrJqlHQXGRlJRkZGtGDBAjp9+jSdPn2aFixYQMbGxrRz504yMDAgACQvL09Nmzat1mRWVRwdHZkETl7SlKjXryQhIYH8/PxIVVWV7O3tSU5OjpKTk2u83aqSfFwu95dL8v23UifnUodEvnz5ghUrVmDz5s1wcHDA6tWr0aFDB7HrVLecuqKiAjk5OXj37p1A+QoAdOzYsdrHnJycDC8vLwwfPhwREREYP348MjIycOPGDSQmJuLWrVsICgqCuro6TExMcP/+fXC5XDRp0gRaWlq4ffs2UxrFxocPH1BRUSEkqeLg4ABXV1fUr18fwP+V6GRmZsLe3h4VFRU4f/68UHnPkSNHsGPHDly5cqXa58rDy8sLr1+/RmBgoIDEDI/evXvLtN2cnBz06dMHWVlZMDY2BgDk5uaiSZMmiI2NlaoUXxz88gzjxo2DqqoqwsLC8OLFC7Ro0UKojIvL5SIvL48pweQvKQUqSzD19fUFStPZPiOpTPNX8erVK0ycOBHx8fEC5XLdu3fH1q1bGbmRXw2//AsR4eTJk9DS0oKTkxMA4O7duygoKMDXr1/h7e3NlJ0BgqVnPGSRXaoNcnNz0atXLzx+/Fjg/rS1tcXp06dFyn44OTlh9erVYn/n4oiMjMSgQYOgrKws87GzERERgTFjxsDLywtt2rQBANy6dQtnzpzB1KlTsXHjRjx69Aj29vYYNWoU9u7dyyo9Ioo5c+ZAU1MT8+bNw+HDhzF8+HCYmZnh9evXUFJSwunTp+Hu7g5NTU3cu3cPlpaW2LZtG1OuzeFwkJ2dDQsLCwQEBEBbWxvr168HUHnP8OSdbGxs0LJlS6mOqaCgACNHjkRcXBzTlpaVlcHIyAiurq5QVFQUuz6bRJE0lJSUMHIuycnJ6NmzJ/z9/eHp6claoilKwqc6VN1GVZkhXvt18+ZNtGnTBq6urujZsyfmzJmDw4cPY8qUKXj37h3rtl+/fo2GDRsK/FaByt93bm4uTExMZD5uW1tb7NixQyZZrzt37mDOnDlYtGgRbG1thaQvlJSUqiWrIy2FhYU4fPgwwsPDcfv2bZSXlyM0NBQBAQFSS52Jg4hw6dIlZGZmAgCsra3h4eHBvJ+RkYHXr18LySLxS99UVwaitLQUkydPRkREBMrLyyEvL8/I4kVEREBOTk7kup06dcL8+fMFjpGHnJwc8vLyRN6X/v7+iIiIgIODA/z9/TF8+HBGnuRXk56eLvA//X+JgFWrVqGsrAytWrXC9evXERYWBk9PT6Snp8PCwgKnTp3CkiVLxMrzFRQUICAgQOj5tWzZMixZsgQeHh5QUVFBfHw8hgwZUi1ZoarwSvw3btyIsWPHCkjglJeX49atW5CTk8P169dl3kdN4Mm6lZWV4eLFi8x9/dtvv6F169YYM2YMBg8eLPNvp379+jh27JiQxMjVq1cxcOBAvH//Xuz6FRUVuHDhArKysgBUSsF07doVXC4XpaWlePHiBRo3bixSjoJHbUhITJo0CYcOHYKxsTECAgIwbNgw1K9fHwYGBoiLi2P6UfPnz0diYiKSk5MBVMoxLl68GBkZGXB2dkbPnj2xaNEigW0vWbIEcXFxuHv3Luu+PT09UVBQgMjISFhZWQEAnj59Cn9/f2hqauL8+fPMZ79//87IA1pYWEiUmJHEmDFjYGxsjMWLF2Pr1q0IDg6Gi4sLUlNT0bdvX3h7e2PQoEHw8PCAi4sLAOD69eu4fPkyjhw5gj59+ghtk8vlQkVFBR4eHgLt18mTJ9G1a1fmecb7Hs3MzATWFyUzJwlJbR7vWWxtbY1ly5ZhxIgR2Lp1K/766y/s3LkTq1atwrhx4xAfHy/0XBRHQECAyPf27duHwYMHQ0VFBeHh4QKSe/wUFhZi9uzZOHLkCD5+/Ci0nV8xtunatStSUlJQVlaG1q1bw83NDe7u7nBxcZFKymbQoEF4/vw5oqKiYG1tDaDy2tvb28Pa2hoxMTFi1588eTKuXr0q8loMGzasVs7zP4UvX75AXV1d6Jn/6dMnqKuri+03V1RUoKKigmkrDx06xEi6jh8/XmKfuyrPnj1D48aNYWNjg5UrV6J3794C4+7Nmzdj3759uHfvXvVPFECXLl0wfvx4DBw4UGD5kSNHsHPnTnTs2BFpaWlISkrClClThNZfvHix1PtaunQpgoODoaqqiiVLlojtg/K2W1hYiMTERNb+njhJMWn49u0bDh48iPDwcNy9exfOzs7o37+/SMkgafk7Jfn+a/kHA/h1/AcgKkNAEtUpp05JSWE16ayJPAkRUU5ODo0ZM4Zat25N1tbWNGzYMIHSyTt37tCJEycEMg7PnDkjVGo7cOBAoexgUZIq+P/Gor/CiIQfNuMOJSUlxrintqmoqKD4+HjG6PDChQtSZc1Jg4mJCcXHx1NZWRkZGxszMgaPHj2ievXqCX1e2kxOUaYdvM/805kLv8poUxZmzZpFY8aMEchmLisro3HjxlHz5s1/mblObVFRUUEXLlygTZs20aZNm6TKvv3jjz/IwcGB4uLi6M2bNzJn8pSUlFBubi69evVK4FUT2MyT5OXl6c8//2Q+o6yszFoKXl1SUlJo/fr1dPr0aZEmen369CE5OTnKzc0V+L2dP3+ebGxsKD8/n8mU58+M69y5s1QZRjyysrKYLJOaZj1KYuLEiaStrU329vYUFhYmVRkoh8OhevXqCZl4VcfUSxoDYABMNt+hQ4dIXl6eDA0NSV5enpEeIxKWCeBwOGRjY8NIFPCojfZOWVlZZlmvrKwscnJyYi3zrnpc0sjqyEJmZiYFBweTvr4+KSsrk4+Pj0zbuXz5MllbW7O2EQUFBWRjY0OHDh0ie3t7IQkctow5aSog2Hj9+jWdPXuWDh8+LDI7syo5OTnk4eFBERERQoan0tyXHA5H5gz6miBKSqhdu3b05MkTMjExYSod+Nun7Oxs0tDQkGmflpaWTJYtUWUlBvgq3CS1A2zwSvo5HA61b99eoMy/W7duNG7cOKmv5a/gwYMHrO1EUlIS+fv7k4aGBqmpqZGfn5+ATEafPn2Y34M42Tg5OTkBA3Aejx49EpuBL844TpYqhNqQ5eJwOGRqakq+vr4C58jlcql79+7M/+JM/06fPk3y8vLk5+fHGFWOGDGC5OXlGUkENpSVlZlscH5SU1N/uTFceXk5/fz5k/k/JiaGpkyZQps2bWIq8FJTU2nYsGFMJeuwYcNYj5eHKJNwsEiXiXp+FBcX061btyguLk4qYz8i6Z/FPFlJXuUPUeUYzMvLi6ysrKpdlSJOwgwAubi4UKdOnSgtLY3U1NTo7NmzAm11WloaY9QtqmrwV/Hz509KTk6mFStWMBXLioqK5OLiIvC5x48f0x9//CFwHVRVVYXMuHnZ1Px9R1HtqbGxsdhrUcc/z+7du8nQ0JAOHTpEampqFBMTQ8uXL2f+lhVlZWXWZ2NWVhbT5j1//vxvNcbk9Xvu3btH+vr6pKmpSXJycqSnp8dI0kqSFKsu6enpFBQURHp6erW63Tpkoy4TvQ6xiMoQqErVLJ6bN29i7969OHz4MKytrTFixAgMHjwYBgYGQpnookw6efCbz9Q2bNkrVTOdq5rNAJXZY+IwNTX9ZcfMb9zx+++/49GjR7CwsIChoSEMDAyQmpoq1XZ4hlHa2tpwdHQUO9vKmz3+8eMHlJSUapQdWJUlS5YgLCwMBgYGKCoqQlZWFpSUlBAeHo7du3cjJSVF4PPSZo/wZ09XzZwuKSlhrQj4X0VPTw/JyclMVhOPp0+fon379qyZLv/p8Gca89/PRCTSDIaf7OxsBAQE4MaNGwLLpV2/uki676Xl48eP0NXVBVCZsb97924UFxfDx8cHgUegi0AAALBuSURBVIGBrCZ6mpqaUFFRQX5+vkB2yfPnz2Fvb48ePXoIZRhlZGRg5MiRsLS0lJhh9E/A5XJhYmIise3jf7ZxuVyEhYVJfCaJM/WSxQD45s2b8Pf3R5s2bRAREQGg0jyqZcuWGDVqFKytrRlT2X79+uHq1as4cuQIU2WRn58PAwMDoSqv6tCxY0coKysjOjqaMRnNz8+Hn58ffvz4gcTERJHrOjs7Q15eHkFBQULGogDg5ubG/J2bm4t9+/YhIiICpaWlyMzMrHH2JD/l5eWIi4tDeHg4Tp8+Xe31e/XqhU6dOmHatGms72/atAkrVqxA27ZtsWfPHpibm+P27dv4+PEjZsyYgXXr1sHZ2blaFRD8JCUloVmzZkz/hMfPnz+RkpIitnLv5s2bGDp0KF6+fMks4zc8HTVqlMTz592XshgpykrV/haXy4Wenh5TBaSqqsr0g/jbp7S0NHTs2FHImFQalJSUkJOTw1Q3AZXGXpmZmWjcuDEiIyPFri+pDdi4caPMGbSy0rdvX7HvFxQUIDExERcuXMDly5eFKkN//vyJzp07IyIiAteuXYOlpSVGjx6N+/fvY/fu3dDQ0BDbvvEydqOiophrV1xcjJEjR+LTp09iM78tLCxYjeOCgoKqXYVQtY8vC6NGjWJ9bhw9ehQdOnSAvr4+ysvLcezYMbGmf2fPnsWKFSvw4MEDqKiowN7eHosXLxZoE6vStGlT7N+/H87OzgLLb9++jaFDhyInJweFhYVYtWoV63UEIJN5vTikNSetzj0v7pnCT3FxMfz8/PDhwweh98T1xaR5Fu/fvx/Pnj2DiYkJjIyMcOLECTg7O+PFixews7PD4cOHsXnzZuzYsUMoQ14UkydPRkxMDExNTYWqerhcLtMms50Lr39paGiIqKgooarB6OhoxMTE4Ny5c1Idi6xkZWXh6tWrjNm9lpYWPnz4gOfPn6NPnz54+PChwHlwOBxUVFTg/v37AubEXC4XM2fOZL5DUYwcORLq6urIyMgQeS2+f//+S8/5P52qFV3isLe3l3k/Bw4cwJIlS5gs50aNGmHp0qUYPXq0zNts2rQp+vbti1WrVgksnzNnDk6ePImnT5/i6tWr6NOnDyZOnIjg4GDo6Ojg3r17aNiwIQwNDWXa79q1axEcHCy0vLy8HMOHD0dMTAzc3d3RtGlT7NixA1paWkhLS4OCggKGDx+OoKAgic9daYiJiUGvXr2YGMbPnz+FKjqrQ2pqKo4cOcKaOf9PVZX/JyK+5q2O/3n8/PxkCpi2bdsWbdu2RVhYGFNOPX36dFRUVODixYswNjZmSkKzs7Nx7NixGsuCVMdhXl5eHlOmTGEGQllZWbCwsGAtA2LrzPzKILkkNm/ejN27d8PX11fggbJ48WIEBgbi5cuXUnXmevfuzQSZfX19RX6uoqICy5Ytw44dO5Cfn898VwsXLoSZmVmNHoxAZRDd1tYWubm5GDBgAHNMcnJymDt3rtDniQhdunRhJj14AUBe+VlZWRkACAyQhg8fLrQdcQ7z/2uUlZUhMzNTKIiemZlZo8Dbr2LTpk1Sf1ZUKZ04l/iHDx9K3O6oUaMgLy+PM2fOsE7+1YRnz55h3759eP78OcLCwtCgQQMQEfr168dIRf348QMTJkwQkNQBRHeAHj58CB8fH0aK6dChQ/D09ERhYSG4XC42bNgAPz8/pKWlwc3NDXPmzIGPjw+2bNmCkpIS1u/x06dPUFJSwvnz53Hp0iUmgA5Uyrls3bpVyAGeR3VKEUNDQ6X+rLTI+mwbPHhwjYIv0kjP8E9a5ebm4ty5c8jNzRUI3B46dAht2rTB7t27AQDGxsYYOHAgtm3bhgMHDqBHjx5Ys2YNc91qen+Gh4ejT58+MDExYZX1EsejR49w//59ofaFB5uszpYtW6QKKlcXOTk5+Pr6in3miSMtLQ2rV68W+X63bt0wbdo0hISEoH79+uByueByuXB1dcXKlSvRp08fVFRUMDIQMTExzG9aGtzd3dGwYUOcPHkSbdu2ZZZ/+vQJnTp1Ejt5FxAQAEdHR8TExLBOZlSnX8Mf7PlVk9EpKSn4+PEjevbsySyLiorC4sWLUVhYCF9fX2zevBlOTk44e/Ys03/jndeePXvQrl07mfZdVlYmJNWlrKzM3I/iguSSkFV+qqZImvzT0tKCvb09unXrBicnJ9bnmr+/P/z9/ZGTk4N9+/Zh69atyMvLQ1FREU6fPi323B49eoTu3bvDyMiICYanpaVBSUkJFy5cEHts8+fPx7x58xAdHS0gIxQbG4vDhw+jbdu2AsfavHlzJojDRk3bQ95kZlWUlZWRlpaGefPmITY2FqqqqgLyl+np6QLSHD169ECPHj2qte+1a9diypQp2Lp1KyMbk5qaiqCgIKxbtw5ApexKYmIiRowYUav9k6SkJNbl7u7uUu2jOm2FuIkEfpo0aYIBAwZg0aJFzASvNEjzO7x79y5evHgBExMTNGvWDEeOHIGzszPi4uJQr149DB8+HEVFRYwcQtXAFm+yhJ+tW7ciNDSUeebNnTuXkTB7/vy5VN9j8+bNmcQuTU1NZj+urq6YOHGiNKdfbXbt2oWEhAQkJiaipKQEHTp0gLu7OxYsWMAEXYOCgmBubo7Lly8LTSArKCggKCgIMTExaNSoEbPd5ORkeHp6SmxTLSwsxF6LOsTj4OAgMBEjjpo804cNG4Zhw4ahqKgI379/r1F/mce6deswYMAA/PHHH2jdujWAyjYvMzMTx44dQ3p6Onr16gV5eXmsW7cOY8eOhY6ODk6cOIHXr18jKipKpv2uXbsWOjo6AnGO8vJyDB48GI8ePQIAPHjwADt37gSXy4WcnBxKSkpgYWGBNWvWYOTIkbUSRB8/fjzatGnD/OarG0APDAyEv78/WrVqhUOHDsHPzw/du3fHhQsX0K1bN2RlZSE/P59VbqsO0dQF0esQi6iOorSoqakhICAAAQEBePr0Kfbu3YtVq1Zhzpw56Nq1K06fPo02bdogJyenxkH0evXqSXww8B4egYGBSEtLQ0JCAjw9PZn3PTw8sGXLFqHtcDgcnD59Gl5eXlBQUJCYwcaveVrbvHjxAo6OjkLLg4OD8fPnT6k7c/waYeL0wkJCQhAREYE1a9Zg7NixzHJbW1uEhYXJHET39vZGTEwMtLS00L9/f6xatUogk61nz57o0KGD0HdZ9VjZtN779etXLQ20/3X8/f0xevRoPHv2jMluunXrFlatWiV15uzfyYYNG6T6HIfDERlErzpA+/btG2JiYrBnzx7cvXsXgYGBYrf94MED3L17F82aNZPuoKUkMTERXl5ecHFxQVJSEpYvX44GDRqgZcuWeP36NTMAZ5sYEsesWbNgZ2eHAwcOIDo6Gj179kSPHj2YIOyUKVNw9+5dRvPXw8MDmZmZuHv3LjZs2CDQJvKyitasWYNOnTohPj6etVOnoKAgchJGnE4xP7U5OcGPLM+2X3UsPMRNdBQWFmLixIlo0KABfH19mfuEB29gAQDTpk1Ds2bNMGTIEDx8+FBIc1cWLC0tkZ6eLqCVzNMAl/S9ODk5ITc3lzWIXlVbuLpB5b+b/Px8sQMYeXl5VFRUMEkC9evXx5s3b2BlZQVTU1N8/PgRpqamsLCwQGJioshsS3HZQIMHD0aXLl2wdetWgexxSYWlr169wunTp2Xua/2dkx1AZd/D3d2dCaI/fPgQo0ePFqi+aNSoEVasWAEvLy9kZGSgrKwMGzduFPDAkQVeZj6/vwDbxOWJEyfw48cPoWwucRm3nTt3FrvvmnjjiEOaoKGBgQEiIiIwYsQIsZ+ztLTEvHnzYGpqirlz5+Ls2bMSt21ra4vs7GwcOHCAaUOGDBmCYcOGSdRU3rJlC3JyctCoUSOYmpoy1yA3NxejR4/G48ePBT5fWFgotl1q2rSpxHaLLQAqiWXLlqFv375wc3ODuro6IiMjBfSFw8PDRU4si0NbW1vgeAsLC9GmTRsmmaSsrAzy8vIICAiAr68v/vjjD5w9e5bRJa8tqurZA//3XCQiXL16FUQEb29v7NmzR+YM0OqQn5+P6dOnVyuALi3+/v6siQWlpaXYsGGDzMFbJSUlDBkyBEOGDGGqeiZNmiR1Vc8/EVCeMGEC9PT0MGPGDEyaNIn1GFNSUnDlyhXWCeQpU6ZAUVERZmZmzEQ8EeHbt284cuSIxP2LuhY/f/78JYkW/228ePGC+fv+/fuYOXMmgoODmYnmlJQUrF+/HmvWrKmV/amqqtaaznavXr2QmZmJnTt3Mp4YXl5eiI2NhZmZGTw8PDBx4kSsWbNGwLPD29sbQ4cOlXm/Z8+eRbdu3Zg4RVlZGQYOHIjMzEwmEUtBQYHp/zRo0ACvX7+GtbU1tLS0kJubW4Oz/j9qKhri6+uLIUOGICsrCytWrMCGDRswefJkaGhoYOPGjTA3N8f48eNhYGBQK8f7v0JdEL2Ovw0rKyusWbMGK1euZMqpgcrgzYwZM5CXlydg0slD2rIicZml/Dx8+BBr164Vmb0CQGDwxBs4XbhwgZEIOXnypMgO+K+QcuDH3NwcDx48EMoa8/HxwbVr1xASEiLTdgsKCnDs2DE8e/ZMoBQqPDwce/fuRZcuXTBhwgTm8y1atGAGQrIQHx+PkpIS5v8VK1Zg4MCBTAewrKwMT58+FVqvLjhe+6xbtw76+vpYv3493r59C6ByMB0cHIwZM2b8w0cnDH9nsKYkJSVh7969OH78OBo1aoS+ffti69atEtezsbFhLR+uKXPmzMHy5csxffp0gc7gtm3b0LdvX5mzGO/cuYMrV67A3t4eLVq0wK5duzBp0iSm8zdlyhQ4OzujpKSEaftMTU1hamoKS0tLdOnSBampqSgtLcWsWbPw+PFjfPr0CdevX8fPnz+FMoz++usvTJs2TaRxq7Tt9b+JX61+J26iw9zcHC1btsSqVavg7e2Ne/fuYenSpcy63759E9iWl5cXbty4gV69euH27du1cnwcDgfdunWrdhBoypQpCAoKEjLiBoAdO3bAxMSkRkHlvxNDQ0M8evRIZCA6PT0dSkpKSEtLg7m5Odq0aYM1a9ZAUVERu3btQr169dCpUyeZ98/hcDB37lx06NABfn5+SE9PZ4x9JQUFO3fujLS0NJmC6P/EZMeDBw+wbNky5n+26ovFixdjyZIlePDgAVatWgU7OztcuHABLVu2REpKCuzs7GTaN1tWJP/E5c+fP3H37l00aNCg2sZ+VSVJfv78iQcPHuDRo0c1ynCvDUpLS9G+fXuxn0lKSkJ4eDiOHz8OLpeLgQMHMskU+fn5mDlzJiMjwt9mEhEqKiowduxYvH79Gnv27MHTp0+RmpoqkK3NhqjKEd6kFA9pqxCWLl36S6Qi69evj6SkJJGmf/fu3UN0dDQA4cB4VfiD+GFhYdU6Dm1t7V9i/Pv582eB/3/+/In79+9j4cKF+P3335nkBDk5OdSrVw/a2toCnxclKVET+Yj+/fsjISFByHyzNuCv/uJPLGjSpInMbUtVZKnqkRTc/xWcOHECSUlJOHToEBYvXgxHR0e4u7vD3d0drq6uUFVVRXl5ucgJ5BcvXqCwsFDAjDsoKAiXL18Wm61cUVGBtWvX4vTp0ygtLcWbN2+wePFi5lpYWlrW6P75X4G/nRwwYAA2bdoEb29vZpm9vT2MjY2xcOFCmSv1xLX/QM0y3M3NzYXkXHjcuXMHO3fuFFpuaGiIvLw8mffZunVrHD9+HL6+vlBUVMTevXuRk5ODq1evMpN2jo6OuHPnDpo0aQI3NzcsWrQIHz58QHR0NGxtbWXed21y7do1pm1+9uwZU/2kqKjITDhPmzYNnTt3FhhX1CGBv0t8vY46RCHKpLOmxqL8fP36lXbu3EmtW7cmLpdLKioqjAERvxHVgwcPSEFB4ZcZKS5cuJCuXLlCxcXFMp/LrzDuSEtLIz09PbK0tCR5eXnm+5g/fz7JyckxJkv839Xjx49JTU1N5vOQxiD0nzb//F+kusaa/zbKysro/v37Ys1a3759SytXriRLS0tq0KABBQYGspoei+Py5cvUrl07unr1Kn348EFmY9KqqKmpMSa4/L+JFy9ekJKSkszbldaQV5QxJYfDoeXLl9OAAQPIy8uL5s+fT2/evCGiSpNDBwcHUlBQIAsLC7KwsCAFBQVydHSk3NxcqY8xOzubzp8/T0VFRUREv9yw8N+Grq4uY1L27ds34nA4lJqaSkREEyZMIAcHB1JTU6Pp06eTrq4uY+RGRLR//37S0NCgz58/C2zzw4cP1LFjR+JwOH/beVRF3DMeUhhx/9PGxfwEBgaSra0t6zO8qKiIbG1tqVevXnT8+HEiqrynraysiMPhUP369eny5cs12j//7/jevXtkbGxM3bt3p8zMTInPy507d5KxsTEtXryYjh07JrUBH2+/bEaKVV+1iZKSEr1+/Zr5X5xJ49/NrzD2W7x4Mc2YMaOWj7R6zJo1i0JCQoSW//XXX/T7779TkyZNiMPhkIuLC4WHh9P3798FPufp6Uk2Nja0bds2OnnyJMXGxlJYWBjp6ekRl8slKysrun//PjVs2JDU1dUZMzZxRpps8ExGk5OTSV1dnSZMmEBKSkoUFBREXbt2JTU1NabtrErVZ+HfSUREBP348YOIiPbt28cYirK9akJ0dDT179+fCgsLa+OwJZKQkEAtW7Zk/ldXVxcay4l71YTCwkLy9vamkSNH0rp162jjxo0CL1kQZyD9+vVrsrGxoaSkJKF+n7T9wB8/fjAmzcrKytS/f386e/YslZeXy3S8L1++pOPHj9eK2bw0FBQUUFxcHPn5+ZGCggLTN3V1dWV+y0OGDCFPT09KTk4mPz8/at68uUz7CgkJIS6XS926daPevXuTsrIy+fv719ap/E+irKzMavKckZEh0SheHGztP/+rJiQlJdGwYcOoXbt29OeffxJRpanstWvXSE9PjzEv5h/bXLhwgYyMjGq0XyKikydPkry8PNnZ2dH79+8F3rtz5w5duXKFiIjy8/MZw92WLVvS/fv3a7xvIqJr167VKG5Ur149Onv2LBERGRoaMu2EnZ0dHTx4kIiIbty4QZqamjU/2P8h6oLodfzjvHz5UuyrJiQmJpKfnx+pqalRkyZNaPbs2XT79m3q0KEDbdq0iYgqG1xe0CowMJC6d+8ucns3btyguLg4gWWRkZFkZmZGenp6NHbsWKaDzIaHhwepqamRkpISubq60vz58+nixYtM0Eha9u/fT5aWlox7vaGhIW3evFmmzhwRUZcuXSg4OJiIBB9A169fJ0VFRYqOjhZ6b+nSpeTq6lqt4+anLoheR20QFBREe/bsIaLKAHr79u0ZZ/SrV68Kfb5nz56kqalJQ4YMoTNnzlBZWRkRUbWD6PzBQP5XTSf/DA0N6fr160Qk+Js4ceIEWVhYyLxdDodD7969Y/7nb/eI/i+I3q9fP9LR0aFLly4JvCcpCFtRUUEXLlygTZs20aZNm+jixYtSH9uHDx+oc+fOzHfHO2d/f3+aPn261Nv5T0dcm/j+/Xtq27YtASANDQ06ceKEwLru7u7k4+NDeXl5f+sxS8OvfMb/3eTl5VGjRo3I2NiYVq9ezQwOV61aRcbGxtSoUSPWa/Dx48damRSqeo+8ffuWnJ2dydDQUGK7wzaZwd+OiWPkyJF/+2SHiYkJJSYmEhFRSUkJqaioCLRL6enppK2tTUSVbf/Ro0cpJCSEQkJC6NixY/Tz589aPR5+jI2NmeeLhoYGZWdnE1HloN7Ly0umbWZnZzPn808xdepUqlevHnXs2JECAwNp2rRpZGZmRlwul1RVVWnWrFmUmZkpcn11dXWhwIGnpyf17NmTkpOTafz48WRoaEgBAQFUXl5O5eXlNGnSJGrTpo3Y4/Lz82PuBaLKe9nZ2Zl27dpFaWlpNGbMGGrdujVZW1vTsGHDxAYTuVzuPxZEr22Ki4tZ+/oODg6koaFB6urqZGtrS46OjgKv2ubJkycCSTXq6uqUlJTEtPEnT56kxo0b044dOygtLY3S0tJox44d1KRJk2pPoFRlz549JC8vT+rq6mRqakpmZmbMy9zcXKZt+vj4UGhoKOt7XC6Xli9fTr6+viInCMS1qRMnTiRtbW2yt7ensLAwoaCcOMQF9wsKCpjg/q/iw4cPdPz4cZoyZQrZ2dkRl8slXV1d8vX1JSKi8+fPMxPIWVlZ1KBBAwJAampqNHnyZKEJDmkmOywtLWnHjh3M/xcvXiRFRUWZJxzqIHJ0dKQRI0YIJGKUlJTQiBEjatQ+sLX/tQFvsnrMmDGkpKTE9Is3b95MXl5eNHr0aPL19aXS0lJmbPPq1StydHSkoKCgau1LVIKAgYEBdejQ4ZclDYijoqKiRv3H48eP04gRI4iocnJr/fr1RFQ5QaWnp0djxowhU1PTv/Wc/hvgEP3i+uQ66vibycvLQ0REBPbu3YuvX79i4MCB2LFjB9LS0mBjYwOg0sjEy8sLw4cPR0REBMaPHy+godmqVSvWbXt5ecHd3R2zZ88GUCkN07JlSwGNzvHjx2PJkiUij6+srAy3bt1CUlISEhMTcePGDZSUlKB169ZITk6u1rnKyckhPT0dzZs3Z0oCq0L/XwdeXBmVlpYW7t27h8aNG0NDQwNpaWmwsLDAq1evYGlpCTU1NcydOxchISFYunQpnj59iqioKJw5cwZdu3at1jHzH3teXh709PQAABoaGkhPT4e5uTmAyrKwRo0a/VJpnDoqMTc3F1tW/Pz587/xaKqHkZERYmNj4eTkhNjYWEyePBlXr15FdHQ0rly5guvXrwt8Xl5eHlOnTsXEiRPRpEkTZrmCgoJAGyEJSVq70ppiVWXmzJm4desWjh49iqZNm+LevXvIz8+Hn58f/Pz8ZJYz4nK58PLyYqRa4uLi0LlzZ0ZbtqSkBOfOnUN+fj4OHDiAuXPnMsaUv/q36Ofnh3fv3mHPnj2wtrZm2p/4+HhMnz5dSO/2vxUul4v8/HyxbaKBgQF+/vwpJBPw6dMnGBkZ4cmTJ/+o8fX/Aq9evcLEiRMRHx/PlCtzOBx0794dYWFhsLGxwYMHD35JKa+/vz82bdokIPVUUlKC8ePH48yZM79EYuqfYuLEiYyRa2xsLCIjI/HmzRtGY/rAgQMICwtDREQEevXqhby8PEZ3PysrC3p6eoiLi/sl10FdXR0ZGRkwMTGBkZERTpw4AWdnZ7x48QJ2dnb4/v17tbcZHR2N2bNn482bN7V+vNLCJjX08OFDGBgYQFdXFwkJCWLXt7GxwYEDBwR8e+rXr89IiX3//h2ampq4c+cO08/OzMxE27ZtUVBQIHK7vr6+OHfuHExNTeHv749mzZrhzJkzOHbsGCoqKtCvXz+MHj0aHTt2lHiOXC4XeXl5tWJ4Jwui+ur8cDgclJWVsb5XWFiI2bNn48iRIyKlhCSV5Mvaj6gqx0JEePv2LVatWoWysjJmDFP12eXs7IwlS5YIyEcAwLlz57Bw4ULcvXtX5D6/fPmC8vJyIXmaT58+QV5eHk2bNsXUqVMxZ86cWvNmMDU1xfnz5wXM0nkkJiZCV1cX3t7eiIqKEnst2fqBXC4XJiYmcHR0FLsum4RZr1690KlTJwGZGX42bdqEq1ev4uTJkyK3Kyt2dnZ48uQJtLW10bFjR7i7u8PNzU2slIq5uTkqKiqY6/L+/XsUFRUxsp0FBQVQVVVFgwYNRI4zlJSUkJOTw+ioA5UGvjk5OTAyMqq9E/wf4vbt2/Dx8QERMdcvPT0dHA4HcXFxjDdWdWFr/2sDR0dHTJs2DX5+fgIxivv378PLywtPnz5F//79kZqaim/fvqFRo0bIy8tDu3btcO7cOQEfE0lUxwds3759ePHiBcrKygTGkwCQnZ0NBQUFmJmZSb29qkRFRWHt2rXIzs4GUOnlERwcLNGzRByfPn3Cjx8/0KhRI8bb6saNG2jSpAkWLFggJMFVh2jqNNHr+Ef4VSadPj4+SEpKQo8ePRAWFgZPT0/Iyclhx44dAp9zdXWVSUOzOhqdopCXl4eLiwv09PSgo6MDDQ0NxMbGSq0vvmTJEixatAhcLhdXrlxhBo1xcXEIDQ2VyUROSUkJX79+FVqelZUFfX19HDx4ECEhIVBTU8OiRYvQsmVLxMXFyRxAB4SNu6qadvHrpdfxa/ntt98E/ufpXJ4/fx7BwcH/zEFJyYcPH6Cvrw+gckA2YMAANG3aFAEBAdi4caPQ55OTk7F37160atUK1tbWGDFiBAYPHlzt/coaJJfEihUrMHnyZBgbG6O8vBw2NjYoLy/H0KFDsWDBApm3W1VrV5wxqbTGlFeuXEFgYCBu3rwpZKT35csXtG/fHjt27JCod3vhwgXEx8cLDYiaNGmCV69eiV33vw1JbSKHwxEKoAOAjo4OnJ2dWf0y/g08e/YMYWFhePLkCYDKwVZQUNAv0bH91ZiamuLcuXP4/PkzcnJyQERo0qQJM/gwMTH5ZRNOVT0ReIbIGRkZQnrF/+lIa9I4ZswYNG/eHKmpqcw1+Pz5M0aNGoVx48bhxo0btX5sNTH269u3r8D/vEBkamoqFi5cWOvHWh1q6lURFhaGOXPmYOfOnUzw4NOnT8wzWl1dHWpqagIDdW1tbSFPh6rExsbi/fv3iI6ORmRkJDIyMuDh4YFt27bhx48fiI6Ohru7OywtLTF69GiMHDmS2WdVRJld/12IC3CmpKRg06ZNYo9x1qxZuHr1KrZv344RI0Zg69at+Ouvv7Bz505GM/hXeQc5ODgw+t38aGtro2XLlsy9XfXZdffuXYSGhgoF0c3NzZGRkSF2n4MHD4aPjw8mTZoksPzIkSOMTvagQYNq1dxYnIG0m5sb2rdvj7y8PFajVaCyX+rs7MwaGPbz85PapPzdu3eMN5SVlRUzqSiKbt26Yd26dVJtu7pMmDABbm5urJOSAQEBrOvwT8o9e/YMhoaG2Lt3LzNuffr0KcaOHYvx48eL3G9ZWRmUlZUFlikoKODnz5+ynEYdAHNv8ps8Dxo0CEOHDq1WwLkqbO1/bfD06VPWCVItLS0UFBRAS0sLFy9exPXr15GWlobv37+jZcuW8PDwqPa+eH0sIkJubi709PTEGl+PGjUKAQEBQkH0W7duYc+ePbh8+TIePXqEpk2bSjTQ5ic0NBQLFy5EYGAgYxCdnJyMCRMm4MOHDyIn0iTBPxnJ5XIxZ84cmbZTB1CXiV7HPwJ/Joi4jk91TTprK8tUFMrKysjOzmZmxF1dXeHl5YX58+cDAF6+fAk7OzuRA4Jdu3YhISEBiYmJKCkpQYcOHRhjFnt7e6k6VsbGxjA2Nsb+/fthYWEBAEhISICfnx/09fVlMpEbM2YMPn78iCNHjkBHRwfp6emQk5ODr68vOnbsWG1TI2mQdrZXViPFOmrO1q1bkZqa+q++Bqampti9eze6dOkCc3NzbN++HT169MDjx4/h6uoqMrBUWFiIw4cPIzw8HLdv30Z5eTlCQ0MREBAgkOUpjoKCAuzdu5cJDDZv3hwBAQG1YliWm5uLhw8f4vv373B0dBTqoP0KqmboZWRkoFevXlBTU8OjR4+E2uLayorS0NDAvXv30KRJE4Esk9TUVHTv3p012+6/kZq2iUeOHMHcuXMxbdo0tGrVSmgwVFvmWz9+/EBpaanAsqqTKPzEx8ejV69ecHBwYAYDvMFOTSdj/43s3bsXJ06cQHR09C8x9wPYDZH79euH1q1bi10vMTER69atE5jMCA4OljjR9U8iyqTx06dPUFdXh5aWFlJTUxljeB6PHj1C69atUVxcXOvHtGHDBsjJyWHq1Km4dOkSk9X38+dPhIaGIigoSOS6VX/nXC4Xenp66Ny5c7VNe2uLqoF9NjgcDo4fPy60vKpBZmFhIcrKyqCqqgoFBQV8/vwZWlpa4HK5+PTpU61UHd67dw/79u3Dnj17oK6ujuHDh6NHjx5MFVpeXh48PT0lJun8W3j69CnmzJmDuLg4DBs2DCEhISInQ01MTBAVFQV3d3doamri3r17sLS0RHR0NGJiYnDu3LlfdpxVJ7V59+7EiRPFrnf69Gloa2sjIyODmQgrLS3FmDFj8OjRI9y7d0/kujo6Orh+/bpQVnhmZiZcXFzg5+cHPT09zJs3T8azEqZx48ZYv369SINFLpcLIsKiRYtYs/5rWr337ds3xsyZtw05OTlUVFQgNTVVZKZvTk4O7Ozsfkmbx6O0tBQvXrxA48aNIS9fmYvJ5XJhamoKR0dHkQbsFy5cQHJystCx3717F/3798eLFy9Y16taRQkIV1IC/x7z8f9ltLW1UVRUJND+88NvllwdLCwssGvXLnh4eAiMEaKiorBq1SqJE3GyUFFRAWVlZTx+/Fjs+Iu/DeYnJycHTZs2RevWrfHu3Ts0atRIqDJaHObm5li6dCn8/PwElkdGRmLJkiUify9ssCVJikJcX74OQeoy0ev4R+DPsqjNrBBps0zv3bsHBQUFJuv81KlT2LdvH2xsbLBkyRKBbCd+GjZsiBcvXsDY2BilpaW4d++eQAfq27dvIrMXgMqZfD09PcyYMQOTJk2Curp6tc8xPT0d48ePh4ODA9avX4+srCxs3LgRwcHB6Nq1K4YPH47nz5/j6NGjMDQ0RHR0NMzNzeHq6ipym+vXr0f//v3RoEEDFBcXw83NjSmFOnXqFBYuXAhdXV2BdQoKCtCyZUuZpT5qIzB7+fJlbNiwgQkIWFtb47fffpNp9rkOYby8vDB37tx/dRDd398fAwcOhIGBATgcDnPtb926hWbNmolcT01NDQEBAQgICMDTp0+xd+9erFq1CnPmzEHXrl0lDr55AV4VFRWm9DE0NBS///47U9lSHTp27IjTp08zWYz3799H165dq5W5UFPc3NwE2j4bGxvcunULffv2ZR0Y1VZWVIcOHRAVFcVU+XA4HKbMkE1e4L+Vmv7OeM+6qVOnMst4WYPVnZCuSlFREWbNmiVWQkAUc+bMwbRp05gsSf7ls2fP/q8Lom/ZsgU5OTlo1KgRTE1NhSYzxAWMxMEmVVdSUoLY2FipEgT2798Pf39/9O3bl7lHrl+/ji5duiAiIgJDhw6V6bh+NaImJXkTFE2bNkV+fr5QEP3du3dCA9vagn/i0MPDA0+ePGEG0pImq/6Nz9OaTPxKSrLw9/eHqakpFBQU0Ldv3xpXHb59+xYXL17ExYsXIScnB29vbzx8+BBbtmzBsmXLsGDBAsydOxdnz56V9ZRkojoBe16F7Zs3b7B48WJERkaie/fuUslAffr0iUmg0dTUZAJTrq6uTDC7vLwcGzZswJEjR/D69WuhSc/qBrOKi4tx+fJl9OzZEwAwd+5cgeump6eHkJAQoYxhHjz5CCMjI1b5CHGUlJSwStv8/PkTxcXFKC8vx5o1axAfHw97e3uhMVhoaGi1zhUAvL29sXDhQnh6egqdU3FxMYgInTp1QlhYGNLT07F///4aZfBWZcyYMbh//z7OnDmDdu3aAaisUvDx8cGUKVNESn+mp6fDwMCg1o6Dn+LiYgQGBiIyMhJAZaWyhYUFpkyZgjZt2uDp06d48eIF/P39MXz4cKEJZFVVVdbrWF5ejvz8fJH7rVpFCYivpKxDejIyMljbh+ooAPDzKxLuAGDs2LEICgpCeHg4OBwO3rx5g5SUFAQFBWHgwIECn42KisLixYtRWFgIX19fbN68WWACRlq4XC6aNGmCjx8/ig2iczgc1sTJL1++gMPh4OrVq3jz5k21ZeXevn2L9u3bCy1v37493r59W61t1atXT+rqlzoJ3WrwN2uw11GHAOXl5bR3717q0aMHNW/enGxtbalXr14UGRlZIxOF79+/0969e8nFxYUUFBSIy+VSWFgYff36lYiInJyc6NixY0RE9OzZM1JSUqIhQ4aQpaWlWBOKCRMmULt27SgpKYmmT59Ourq6AsYc+/fvJycnJ5Hrnzx5kqZNm0aOjo6krKxM7dq1o7lz51J8fDwVFhZW6xznzp1LHA6HFBQU6NKlSxKNN6QhOTmZtm7dSqtXr2aMAasamfHIy8sjRUXFah1zbbJ161aSl5enwYMHM8Y0Q4YMIQUFBdqyZcs/dlz/TaxevZpMTU3/6cOQyNGjRyk0NJRyc3OZZREREXTq1KlqbaesrIxOnjxJPj4+Ej/r6upKo0aNEjCv+/nzJ40cOZI6dOhQrf0SCf/ONDQ0BIx2/40oKSkxhnpsZGdnk7KyssTtPHz4kBo0aECenp6kqKhI/fv3J2tra2rYsCHl5OTU5iH/V/MrDTwnTZpE1tbWzHMmPDycli1bRkZGRrR//36x6yopKVFWVpbQ8qdPn5KSklKNjuvfyJIlS8S+ZKE2DJGbNWvGapa3fv16atasmUzH9U/Bb6R49uxZat68OR09epRyc3MpNzeXjh49SnZ2dnT27Nl/+lBFkpqaStHR0RQdHU337t37pw+nRpSVldGqVauoffv25OTkRLNnz6aioiIiIqkMaSWZ0paWltKxY8eoR48epKCgQK1ataLt27fTly9f6Nu3b5SYmEidOnUiAKSpqUljxoyhlJSUv+PUGcQZ91Y18S0oKKBZs2aRiooKM6aQFjs7O0pISCAioi5dutCMGTOIiGjjxo1kaGhIREQLFy4kAwMDWrduHSkrK9OyZcto9OjRpKurK9bEURTbt2+nnj17Mv+rq6tTmzZtyN3dndzd3UlfX1+kESeP79+/086dO2natGk0bdo02rVrF33//l3ivt3d3SkwMFBo+aRJk8jV1ZU5BrZXp06dqn2uRJINpAHQw4cPKSMjg5o0aUK2trYC/bW8vLwaGcyrqqrStWvXhJb37duXOBwOFRcXC71XVFREtra2NGXKFJn3K46pU6dSq1at6Nq1a6Smpsacb2xsLDk4ONCPHz/o4MGD5OHhQaqqqjRgwAA6f/48M5bv2bMnOTo60t27d5ltpqamUsuWLaXqc9dRezx79ozs7e2Z9oi/barJffurqKiooOXLl5OamhpzrMrKytS4cWNatWoV87n09HSSl5enMWPG0Pr160lfX58WL14s835Pnz5Nrq6u9PDhQ5Gf6dmzJw0YMIDpkxFVPg/79etHnp6eRFTZN69u36958+b0+++/Cy1ftmwZ2draVmtbCQkJzCsiIoL09fVpzpw5dOrUKTp16hTNmTOHDAwMKCIiolrb/V+nLohexz9GRUUF9ejRgzgcDjk4ONDgwYNp0KBBTMPeu3fvWtlPZmYmBQcHk76+PikrK5OPjw9pamoywZlVq1ZRt27diKgyiGxkZCRyW+/fv6cOHToQh8MhDQ0NOnHihMD7nTt3pnnz5kl1XAUFBRQXF0d+fn6koKBQrWDCpk2bSFVVlYYOHUpWVlZkY2NDVlZWFBkZSUSVHVxeB+fevXvUsGFDkdsqLS0lOTk5oYcEr3HlcDgUFRXF/H/q1Ck6ceIETZ48mZo2bSr1Mdc2hoaGtHnzZqHlW7ZsoUaNGv0DR/Sfi4ODAzk6OjIvBwcH0tfXJzk5Odq5c+c/fXiseHl5UUFBAfP/ypUr6fPnz8z/Hz58IGtr61+2f2VlZXry5InQ8sePH5OKikq1t1c1iM7/G/4naNGiBdnb2wu8+O8RR0dHUlRUJHNzc5HbOH78uNj3+SkoKKDly5fTgAEDyMvLi+bPn09v3ryprdOpo4YYGxvT1atXiahygoc3eRIVFSVxktbIyIiOHDkitPzw4cNkbGxc68f634icnBxNmzZNaDKiOkF0RUVF1kmv7Ozs/7jJDP4BP1sQgP//2uTGjRsUFxcnsCwyMpLMzMxIT0+Pxo4dSz9+/BC7jfz8fOrUqRNxOBzS1tYmbW1t4nA41LlzZ3r37l2tHu/fRUhICHG5XOrWrRv17t2blJWVyd/fv8bb5QVmdXV1SVtbmyZNmkT3798nIqK//vqLFi1aRMrKysThcKhNmzakq6srVWD2n2T16tWko6NDNjY2FBsbW+31Q0NDmUD4xYsXSVlZmZSUlJhkISIiCwsLOnPmDBFV9iV44x1eskl1cXV1pdOnTzP/V+2fREdHU9u2bau9XWlITk4mZWVl6tChAzMR2aFDB1JWVq7W5EN1efnyJXl5eQm1J15eXgL9tYKCAvLy8iIdHR0m+aimQXRjY2NKT08XWn7lyhXicrkig/uNGjWivLw8mfcrDhMTE2Ziiv/6Z2dnk4aGhsBneUFDCwsLMjExoW/fvtG7d++Y705RUZEUFRWZ75MtUauOX0fPnj2pd+/e9P79e1JXV6eMjAy6du0aOTs7V/s39eXLF4G/xb2qQ1paGpWXlwssKykpocePH9OtW7fo27dvpK+vT3fu3GHenzdvHrm4uDD/HzlypEbjwHr16jH3qbKyMvO85r2IKsd8urq61LhxY2ZCuHHjxqSnpyc2+C6JY8eOkZycHHXv3p1CQkIoJCSEunfvTvLy8kKxp+rQuXNnOnjwoNDyAwcOkJubm8zb/V+kTs6ljn+MiIgIJCUl4fLly0Il+1euXIGvry+ioqKE9KCqi5WVFdasWYOVK1ciLi4O4eHhICJGRubSpUtMiaKxsTE+fPggclv169dHUlKSSI3Oo0ePSpRo+fjxIxITE5GQkICEhAQ8fvwY2traUmuSenp6IjU1FZGRkejfvz+Ki4sxffp07Nixg1UXjGe8IQoFBQVWIzSeFiCHwxEqp+M5Tq9fv16qY/4VFBQUwNPTU2h5t27dMHv27H/giP5zqar7yNO5dHd3FyuJ8k8SHx8vUE68YsUKDBw4kJFDKSsrYwyZfgWampp4/fq10PeTm5srtab6v43CwkLMnj0bR44cEWgH6f9LubRt25YpLb558yaICN+/f8ePHz9YS54XL17MtK2S0NLSYrwl6pCd6Oho7NixAy9evEBKSgpMTU0RFhYGc3Nz9O7dW+btSiMhIIqxY8di3LhxeP78OVOeev36daxevRrTp0+X+Zj+7Xz79k1ABonL5cok4QbUjiGysbExLl++LCRxcunSJcbn5T+FmhpgykpISAjc3d2Zdu3hw4cYPXo0Ro0aBWtra6xduxaNGjUSay4/ZcoUfPv2DY8fP2Z0njMyMjBy5EhMnToVMTExf8ep1CpRUVHYtm0bYxB46dIl9OjRA3v27KmR4eO8efOgq6uLDRs2YMCAAcxzxsvLC5cuXQKHw4GGhgYePHjAmBX+25kzZw5UVFRgaWmJyMhIRh6jKqI0nqtKCWVmZuLu3bsCUkJ5eXmMXKW6ujq+fPkCAOjZs6dM5rU8rW0eysrKAtfV2dkZkydPFruN7OxsXL16Fe/evROS8RRlXg4ALi4uSElJwdq1a3HkyBGoqKjA3t4ee/fu/aVeMeIMpPnPXUtLC2fPnsXcuXPh7e2N1atX11gaa8GCBZg+fTqio6MZg9y8vDysWrUKy5YtQ3JyMubOncs8XzgcDrp3746tW7eiYcOGNdq3KN6/f8/45fBTWFgoJBXB5XIZKTne2FJPTw/nzp1DdnY2I8HZrFkzNG3a9Jccbx2iSUlJwZUrV1C/fn1wuVxwuVy4urpi5cqVmDp1Ku7fvy/1trS1tfH27Vs0aNBApGwIySAp6OjoyGzXwsICd+7cga6uroB03efPnwXu98TERHh5eTH/t27dGrm5uVLvsyrSyNPY2NggPT0dW7ZsQVpaGlRUVODn54fAwMAaeeL069cPt2/fRmhoKGJjYwFUStbevn1bpCeCNKSkpGDHjh1Cy52cnDBmzBiZt/s/yT8Xv6/jf52uXbvSypUrRb7/+++/MxnitU2nTp3Iz8+PoqKiSEFBgcnOSkhI+KXyFba2tiQnJ0f169envn370qZNmygtLa1a2/Dw8KC//vpLaHnDhg2ZmVH+LIHIyEiJM7F79uwhb29v+vjxo9B7ZmZm9P79+2od49/BkCFDaM2aNULL165dS4MGDfoHjqiOvxNJmds1zQSSxJQpU8jIyIgOHTpEr1+/ptevX1NMTAwZGRmJlYQSRdWKD1VVVdq1a5dABUh15WmqiyjJDlVVVdbKoOnTp5OqqqpMWVH8WSZpaWliX3VIx7Zt26h+/fq0fPlyUlFRYX4P+/btI3d39xptWxoJAVFUVFRQaGgoGRoaMhl9hoaGFBYWViPZtn8b9+/fF8jKV1dXF8iWlpOTo9u3b9doH5Kk6sSxbds2UlRUpAkTJlBUVBRFRUXR+PHjSUlJiXbs2FGj4/pfoTYy3zQ1NVnvg1u3bpGWllatHevfiaKiIr1+/VpgmZKSkoDEmiwcPXqUlJWVhZ59Xl5e1KxZM7K0tPxXVSxJUyGnpaVVY3kbSTRt2pRu3rxJREQuLi7MWOvQoUOkp6dX7e0pKytTZmamyPefPHkitppl165dJCcnRw0bNqQWLVqQg4MD83J0dKz28fTp04fJbO3Tp4/Y16+Ay+WyZk/HxMSQmpoa9ezZs9r9z6oVoerq6qSgoECNGzemxo0bk4KCAqmrqzPf16dPn+j27dt069Yt+vTpU62clzg6dOhAmzZtIqLKZ9vz58+JiCgwMJC6d+8uIOeirKxM/fv3p7NnzwplE9fxz1OvXj3m+llYWNCVK1eIiCgnJ6falbQJCQmMrCW/bAjbqzro6OgwbRiHw2Gt0jIxMaHExEQiqsxSV1FRoUuXLjHvp6enM3GR/yRKS0vJ39+fuUa1SdOmTSk4OFhoeXBw8D+qLvCfSF0meh3/GOnp6VizZo3I9728vLBp06Zfsu+wsDAMGzYMsbGxmD9/PpOZdezYMVYjh9piwoQJcHNzq7bBBD8XL15kXR4UFITIyEjcunVLwHhj5syZEjNPxBmhaWtro379+jIfb23Cfz/Y2Njg999/R0JCgkB27PXr1zFjxox/6hD/4/nx44eQyUydW7cw69atA4fDgZ+fH8rKykBEUFRUxMSJE4UMFKWlasUHL6uPR03NISURFxeHqKgouLu7w9/fHx06dIClpSVWrFiBz58/C31+woQJ2LVrF2xtbaudFeXg4IC8vDw0aNAADg4OTNZSVX71Of83sXnzZuzevRu+vr4C96CTkxNmzpxZo237+/sjLS0Nbm5umDNnDnx8fLBlyxb8/PlTonEbh8PBtGnTMG3aNMaA6T+1WkMcmzdvFjLwjo6OhqGhIYgI4eHh2LRpE6Kjo2XeR00MkSdOnAh9fX2sX78eR44cAVCZ2XT48OEaVSn801hYWMDNzQ07duwQMBD78OEDnJ2dZTY/Z6M2Mt8qKipYDegVFBSEMnT/UygrKxOqRlJQUMDPnz9rtN3+/fujoKAAQ4YMwdmzZ+Hu7o7CwkJ8+/YNZWVlSExM/GVGirIgTYXct2/fZDKXvXLlCgIDA3Hz5k2hPtmXL1/Qvn177NixAx06dECfPn1w+fJltGnTBlOmTMHw4cOxd+9evH79WiCTXVqMjIzw6NEjkdn+6enpMDIyErn+8uXL8fvvv0tdJfr161fmHL9+/Sr0vqqqKvMsqYkprqyw9VWASnPvZs2aCVV3SkN119HW1kbr1q2rvR9ZWbFiBby8vJCRkYGysjJs3LgRGRkZuHHjBry8vGBgYABjY2MEBAQgJibmXzNurEMYW1tbpKWlwdzcHG3atMGaNWugqKiIXbt2MRWH0uLm5sb6d03p168f3NzcYGBgAA6HAycnJ6Hq/8+fP6Nbt264ePEiYmNjoaqqKlDVn56ejsaNG8t8DK9fvxb7vomJCYDKyvi9e/f+v/buPKzG/P8f+LNFi9Ji31opSmXfyVIh+/KxEzG2GaFsGVtlZ4QwGERlSdNkyRhLsiUMRbaiFGJINKFN2/n94df5OtOClnOf6vm4Ltc1597Os5G6z+t+v19v8QyLZs2aYdKkScX+2VSlShX88ccfxZo19DWbNm3CsGHD8Ndff6F9+/YAPi/8HB0djT/++KPU368ikxMV9puAqIwpKSnh2bNnhd4A//PPPzAwMJC4IS2uiIgIWFhYfHV14oyMDCgoKBT4Aac0ZWZmIi4uDo0aNYKiYuk8yxKJRFi9ejXWrFmDtLQ0AICysjLmzZuHFStWFHmuq6urxOvr16+jdevWqFKlCq5fvy7xIfG/Zs2aVfLw38jAwOCbjpOTkyvVD84V3ZdtPN69e5dvvywWMRUUFPD69WvUqlULwOei3N27d8XfIwkJCahfv36ZZ09LS8OTJ08AAI0aNULVqlXL9P3Kkrq6Oh4+fAhdXV00bNgQAQEBaNeuHWrVqoUPHz7k+1m8f/9+LFy4EAkJCQVOeS7Ks2fPoKurCzk5OTx79qzIY/X09Er8tVUGqqqqiIqKgp6eHqpVq4aIiAgYGhoiOjoaFhYWSE9PL7X3evbsWb4WAkV5+/Ytnj59Cjk5Oejr66NGjRqllkVWmJiY4NChQ+Kptl/+HQDAjRs3MGLEiK9+v3+vnJwccau6ooroFZW8vDwaN24MLS0tnDhxQtz+oCx+B+jp6cHHxweWlpbIzMyElpYWAgMDYWVlBeBze5du3bqJ2x0VZNCgQUhOTsbhw4dRv359AMDLly8xduxYaGtr4+jRo6WWV1rk5eVha2sr8RAjMDAQPXv2lBiUUViLkq9Zv349Vq1ahePHj2PZsmV4+fIlLl26VGThVgjy8vLih8NA/p8BJfmeHDhwIHr06FFoEdzDwwMXLlwo8Pvn+vXrCA0NhZGREQYMGPDd7z179mwEBQUhLCyswNZtbdq0gbW1NbZs2VLg+RoaGrhz5843F+gUFBTErRzyWoP8V25uLuTk5AR58HTp0iV07ty50M9v7969w59//lnidqSy5smTJ1i7di0iIiKQkpKCVq1aYeHChWjevDl0dXXRsmXLIj9nF/ffP5WuM2fOIDU1FUOHDkV0dDQGDBiAx48fo0aNGvD19RX/Pvtely9fLnK/paXld13v9OnTiImJwaxZs+Dm5pZv8EVKSgp2796N58+fQ11dHV5eXhgyZIh4v5WVFTp06IBVq1Z91/vmKexnT56cnBzcunULvXv3hqqqKtq1awcAuHnzJtLT03H27Fm0atWqWO89YcIEtGjRolgPPb8mPj4eO3bsQFRUFIDP967Tp08vd239hMaR6CSYnJycIgvICgoKyM7OLpX3CgoKwvLly+Hr65vvBvBLRe0rDenp6Zg5c6a4B+Ljx49haGgIBwcHNGjQAM7Ozl+9xtd+qKenpyMmJgYpKSkwNTWFuro60tPToaqqWug5y5cvl3htYGCAAwcOoEaNGjAwMBD/oP0vOTk5qRbR4+LipPZelcmCBQtw4cIF7NixA+PHj8f27dvx8uVL7Nq1q9ijqsuaSCTCxIkTxR/aMzIyMH36dPEH9tJ4+FaQSZMmfdNxnp6eZfL+ZcnQ0BBxcXHQ1dVF06ZN4efnh3bt2qFDhw44efIkZs2aJb5JvHHjBjw9PcUjJb53VNSXhXF1dXVxUTU+Ph67d+9Geno6Bg4c+M1rRdDnn9t37tzJ99Dh9OnT4t7LpUVPT++bHm48ePAAM2bMwNWrVyW2d+vWDTt27Cg3fYy/xbNnz8QP9YDP/bO/HI1Xr149JCQklPr7KigoYPDgwV8dyXjz5k3k5uaKRx/luXHjBhQUFNCmTZtSzyYNcnJyOH36NObNm4fWrVvj2LFjZTZCs2/fvnB2dsa6deuKPfJt27ZtGDhwIPT19cUfWuPj42FmZoYDBw6USe6y9t9ZVAAwbty4Urv+ggULkJSUBCsrK+jr6+PixYsyV0AvaxEREVi3bl2h+3v16oVffvkFwOci7pe/U0+dOiUudhfHzz//DD8/PzRp0gQzZ84U97F+9OgRtm3bhuzsbPz888+Fnj98+HCcPXsW06dP/6b3Cw4OFvcTLmz9g549ewo2cvJrI25r1KhR4QrowOeBIrt378633c7O7quD1Eh29O7dW/zfRkZGiIqKQlJSErS1tUv099i9e/d827683vc+PMxb9ywsLAyzZ88WF9E/fvyIw4cP4+DBg4iPj8e///5b7HXqivLf3vBZWVm4ffs23N3dxYV5R0dHDBw4ELt37xbXtLKzs/HDDz9gzpw5X32wUBgjIyO4ubnh6tWraN26tcTDaKBkAxh1dHSwevXqYp9Pn3EkOgmmoJErX/r06RNOnz5dKqOIRCIRFi9ejMuXLyMkJOSrvyiKGkVUErNnz8bVq1exefNm9OnTB3fv3oWhoSGOHz8OFxeXb1rM4/jx4xKv836oe3l5wdXVFZMnTxbv+/TpE7Zv347169fj9evXX712WFiYxHSkkixeQeWHrq6uuI2HhoYGwsPD0bhxY/j4+ODw4cM4deqU0BHzsbe3/6bjijNtuijy8vLQ09NDy5YtC53SC6BcjibctGkTFBQUMGvWLAQFBWHAgAEQiUTIzMyEnZ2dxIJQJiYmmD17NkaMGFHs97t37x4GDBiA+Ph4GBkZwdfXF3369EFqairk5eWRmpoKf3//Yk2Nroz27NkDFxcXbNy4EZMnT8aePXvw5MkTrFmzBnv27PnuhSg9PDwwdepUqKiofLW1WkE39K9fv4aZmRlq1aqF6dOno2nTphCJRHj48CF2796Nd+/e4f79+wUuVlYeVa9eHYGBgejcuXOB+69evYoBAwaU2f3F17Rr1w4LFizA//73P4ntAQEBWLduHW7cuCFIrpL6cvTvokWLsGXLFvz222+wsbEp9ZHob9++xdChQxESElKikW8ikQhBQUESI8Gsra1LLWdFMXToUInXp06dQvPmzdGgQQOJ7bIywrUsZ8ipqKjg/v37+RYGzhMTE4NmzZqhXr16ZfI7NS4uDjNmzMC5c+ckWrfZ2Njg119/LXKU+Zo1a+Du7o5+/frB3Nw832zfogpCz58/h46OToGLV966davYIz1lWU5ODjZt2gQ/Pz88f/48X4tFoX6HUPlW1oOA8hYwzpNXn1i6dClWrVpV7BHueS5fvoy9e/fijz/+QP369TF06FAMGzZMqm2NAODPP//Ehg0bcPHiRaiqquL27dto2rSpxDEPHz5EmzZtxJ0BvldRM+9LMtu+tGcLVGYsopNghCiCHT9+HIMGDcL+/fuLLKIXNKqmNOjp6eHIkSPo0KGDxDTPmJgYtGrVqsDef1/z6dMnuLi44MiRI0hOToanpycGDx6Mffv2YfHixVBQUMDMmTOL7EX45s0bjBo1ChcvXhT3bkxOTkaPHj3g6+srMbpOlrx48QInTpwo8Cbza3166f8U1sYjLi4O5ubmSElJETqizPjpp59w+PBh6Onpwd7eHuPGjSvRCuyyLK9lh5GREczNzUv9+ra2tlBUVISzszN8fHxw8uRJ9O7dWzzSycHBAWFhYbh+/Xqpv3dFdfDgQbi4uIhbDNWvXz/fw9VvZWBggFu3bolnJBWmsBv6hQsXIigoCFevXi2wBUCXLl3Qq1cvrFmz5ruzySIrKyu0atUKGzZsKHD/3LlzcefOHZw/f17KyT5TV1cXP7j/UlxcHCwsLMQ9hsubL1s/AMCBAwcwZcoUjB49Gl5eXmXS0uv9+/cFjnxLSkqCuro6lJSUSv09KyOhHpYX138HB/23pU1JBgc1atQIGzduLLQAHhAQgHHjxsHKyqpMf6cmJSUhJiYGANC4ceNvuv8pSUHov/++88jLywNAuV1HoCjLli3Dnj17MHfuXCxZsgSLFy/G06dPcezYMSxbtkyqM4C/NvsZ+Px3+K0zx9PS0gr8zPYtbeGoZIQaBHTp0iU4OTkhLCzsu899/fo19u/fj7179+LDhw8YMWIEdu7ciYiICJiampZqzm8VExOD5s2bIzU1FXXq1IGPjw969eolccyZM2dgZ2dXJrMPSyLv5+aXSjJboFKT6jKmRJWcqqqq6MmTJyKR6PPq5nn/fefOHZGGhkaxrrlgwQKRpqamqE+fPiI5OTmRoqKiaMqUKSJzc3PR4cOHRdnZ2V+9xogRI0Rt2rQRPXz4ULztwYMHojZt2ohGjBgh2rNnj2j06NEiKysrUY8ePST+CCUoKEhUtWpVkZmZmUhRUVHUokULkZaWlkhTU1PQXOWRubm5eOV0Kysr0dy5c0UikUi0ZcsWUYMGDYSMJpMyMjJEhw4dEllbW4uqVq0qGj58uOj06dOi3NxcoaMVy/nz50UmJiai9+/f59uXnJwsMjU1FV2+fLnU37dGjRqiiIgIkUgkEn38+FEkJycnunXrlnh/ZGSkSFNTs9TftzJITU0VJSQkCJqhZcuWoiNHjhS6//Dhw6KWLVtKMVHZ8vf3FykqKoq2bdsmysnJEW/Pzs4WeXh4iKpUqSL6/fffBctXvXp1UWhoaL7tV69eFWlpaQmQqHTIycnl+14PDQ0V1alTRyQvLy9QqvxCQ0NFgYGBEtu8vLxE+vr6olq1aommTJkiysjIECgdlYaJEyd+05/imDlzpsjMzEyUnp6eb19aWprIzMxMpKKiUuF+p8rJyYnevHlT4HYAIm1t7SL/lEeGhoaikydPikSiz58VY2JiRCLR53vy0aNHSzXLsWPHCv2zcOFCkaqqqkhZWfmr13nz5o2oX79+Inl5+QL/UNn78ccfRdra2qIWLVqItmzZInr37p1U3jcyMlKkpqb23ef1799fpKGhIRo1apTo5MmT4nqGoqKi6MGDB6UdM5/3799L/ElOThZFRkaKRo4cKWrevLlIJBKJHBwcRA0bNhT5+vqKnj9/Lnr+/Lno8OHDooYNG4pmz55d7Pd2dXUVpaam5tuelpYmcnV1LfZ1k5OTJf4kJiaKzp49K2rfvr0oKCio2NetjDgSnSq9jIyMfE/E81aFL22WlpYYPnw4HBwcJKZ5Ojg4IDo6GqdPn/7uaxoaGmLdunW4evUqjh49ivj4eEycOBF79+795t5mmpqaCAoKyjcl6u+//0bXrl1RpUoV9OvXT7xK9pc2bdr03ZlLQ7t27WBrawtXV1fxqP7atWtj7Nix6NOnD2bMmCFIrvKosDYeWVlZcHd3x+zZs4WOKLOePXuG/fv3w9vbG9nZ2Xjw4EGJevAJ4WsLlm3evBl79uxB1apVS3VqcVkuwkbC09LSwq1bt4psP9CmTRskJydLN1gZWrhwITZs2IBq1aqJv49jY2ORkpICJyenQkepS8Po0aPx6tUrHD9+HJqamgA+zzgbPHgwateuDT8/P8GylYWEhARERUV9tX+xtNja2qJ79+7iWYH37t1Dq1atMHHiRJiYmGDDhg2YNm0aXFxchA1KMikhIQGtWrUSzy7NW08iKioK27dvR05ODl69elVhfqc6OTkBALZs2YIpU6ZILNqek5MDDw8PGBgY5FvT6b/KamZxWVJTU0NkZCR0dXVRr149/Pnnn2jVqhViY2PRsmXLfG0zpO3Ro0dwdnZGYGAgxo4dCzc3t6+ukTJ27Fg8e/YMmzdvRvfu3XH06FEkJCRg5cqV2LhxI/r16yel9JXbp0+fEBAQAE9PT4SGhqJfv36YPHkyevXqVeK+9nfv3pV4LRKJ8OrVK6xduxbZ2dkICQn5ruspKipi1qxZmDFjBoyMjMTbq1SpIpWR6AXNwhCJRNDR0YGvry86duyIzMxMzJ8/Hzt37kR2djZEIhGUlJQwY8YMrF27ttCWxV9T2Aycd+/eoXbt2qX+M7wkswUqKy4sSpVSamoqFi5cCD8/P7x79y7f/rK6wVy9ejVsbW3x8OFDZGdnY8uWLXj48CFCQ0Nx6dKlb7rGf/u5//vvvxg1ahTU1NRw4MABjBw5Eo6Ojt/1yzA3Nzdfj0Lg8y+qrKwsHD16FH379v3m60lDZGQkDh8+DODzL9r09HSoq6vDzc0NgwYNYhH9O3xZPLW2tkZkZKS4LzqnWBYt7yZLJBKV6s+NzMxMvHnzJt9UZV1d3VJ7jzxfW7Ds8ePHiIyMxPr16wucWlwS//05xcWpvl/Lli2/6f9beHh4sd8jJycH+/fvx/nz5wv8vgwODs53zsePH4t8IF2tWrUK1ypq3bp1GDJkCA4fPozo6GgAnx+ejx49Gh06dBA024YNG9CtWzfxdG4AuHPnjng6cnlT2No2mpqaMDY2xrx582BjYyNAsoLduXMHK1asEL/29fVF+/btxa02dHR0sHz5chbRqUB16tRBaGgoZsyYgUWLFkn0Je/duze2b9+ORo0ayezv1O9tv5i3RpRIJMK9e/ckWiTl/fehQ4cE/7laFho2bIhXr15BV1cXjRo1wtmzZ9GqVSvcvHmz2EW50vDPP/9g+fLl8PLyQu/evXHnzh2YmZl907nBwcE4fvw42rRpI24rYmNjAw0NDaxZs4ZFdClRVlbG6NGjMXr0aPEgoB9//LFUBgG1aNFC/HnoSx06dChWn/WQkBDs3bsXrVu3homJCcaPH//da/uUxH8XNZaXl0etWrXQuHFj8SKiSkpK2LJlC9asWSNuo9ioUSOJh37FIRKJCvzZHRERUSYtROvUqYNHjx6V+nUrMhbRqVJasGABLly4gB07dmD8+PHYvn07Xr58iV27dmHt2rVl9r5dunTBnTt3sHbtWpibm4tvjK5du/bNPYc3b94s8dre3h4HDx5Ep06dsHLlSigqKn73L8GePXti9uzZOHz4MOrXrw8AePnyJRwdHaGsrFzoSEIhqampiW/E69WrhydPnqBZs2YAPi/+RcWnr68PfX19oWPIrC9HcoSEhKB///7Ytm0b+vTpU2C/ue8RHR2NSZMmITQ0VGJ73g1VWTzgS0hIKPAhWp6TJ09CQUEBc+fOhYuLC0aPHo1GjRrBwsIC169fL1F/zokTJ4o/FGZkZGD69OkS/WPp677skSsSibBmzRpMnz69VG+0Z8+ejf3796Nfv34wMzP75sLMx48f8/VDz/Phw4ci+3KWVx06dJDJwk7Dhg1x9+5dHDx4EBEREVBVVYW9vT1Gjx5d5L9/WfXfe6E8ycnJCAsLQ//+/eHv748BAwZIN1gh/v33X9SpU0f8+tKlS7C1tRW/btu2LeLj44WIRuWEnp4eTp06hX///RcxMTEQiUQwMjKCtra2+BhZ/J16/vx5DBw4EIaGhoiKioKZmRmePn0KkUhU6MKgeQUse3t7bNmyJd8DWQUFhSIXMy3PhgwZgvPnz6N9+/ZwcHDAuHHjsHfvXjx//rzQGYNl6f3791i9ejW2bt2KFi1a4Pz58+jatet3XSM1NVU8qlZbWxuJiYkwNjaGubl5iR7wU/GV9iCguLi4fNevVatWofeAX5N3L7V582YcOXIEnp6ecHJyQm5uLs6dOwcdHR1Uq1atxLkLU9QstrJapDVvcICcnByMjY3z9StPSUnB9OnTv+uaXypqtkCLFi2Kfd3KiO1cqFLS1dWFt7c3unfvDg0NDfGoWx8fHxw+fBinTp0SOuI3y1vIKCMjA8HBwVBUVJRYyChPQEBAodeIj4/HwIED8eDBA+jo6Ii3mZmZoV+/fkhKSsK2bdtkZkQL8Llw1K9fP0yZMgXz5s3D8ePHMXHiRAQEBEBbWxtBQUFCR5R5165dw7t379C/f3/xNm9vbyxfvhypqakYPHgwtm7dKujIF1nz448/wtfXFzo6Opg0aRLGjh2LmjVrltr1O3fuLF5ss6D2Sc2bNy+198rztQXLVFRUULt2bTx//rxUpxaXt0Xjyov/TuEvDTVr1oS3t/d3zUj62oJkZflgiCRlZWWhadOmOHnyJExMTISOIxXu7u7w9/fP90BSKHp6evDx8YGlpSUyMzOhpaWFwMBAWFlZAfjc3qVbt27Fbo9FJKu/U8ui/eJ/28FVZNevX0doaCiMjIyk/lBw/fr1WLduHerWrYvVq1dj0KBBxbpO27ZtsXLlSvTu3RsDBw6ElpYW1qxZAw8PD/j7+4tH8VLZKmgQkL29fYkGAaWnp+P8+fPiz5KLFi2SeGCnqKgINze3YhfTv/To0SPs3bsXPj4+SE5Oho2NDU6cOFHi6xbk3bt3qFGjBoDPNZHdu3cjPT0dAwYMQPfu3ctkkVYvLy+IRCJMmjQJmzdvFrfeAz6PetfX10fHjh2L9wVB8sHJl/JmCzRt2rTY165sWESnSkldXR0PHz6Erq4uGjZsiICAALRr1w5xcXEwNzcvV1PM826ak5KScOLECUycOLHA47520ywSiRAUFISoqCgAgImJCaytrTFkyBBcuHAB1atXR7NmzfKNWCuqOF+W8vrMWlhYIDU1FXPnzhXfZLq7u3+1Px+xR2txyMvLQ1dX96stNIr770JNTQ1hYWFSvZFxcHDAxYsXcfPmzXw3uenp6dDS0sKgQYPg5+eHLl26oH///nB2dsaRI0fg4OCAN2/eSC0rfV1ZFNHr16+PixcvwtjY+JvP+dYWZbLSs7qia9CgAYKCgipNEf3x48fo0KGDzBSlZ8yYIW6ddezYMXh5eeGff/4Rt6Y4ePAgNm/ejJs3bwqclKh0VatWDXfu3EGjRo2gra2NkJAQNGvWDBERERg0aBCePn1a5Pm3bt2Cn59fga1ghPoMUlaysrIwbdo0LF26FAYGBkLHgby8PFRVVWFtbQ0FBYVCj/va38OBAweQnZ2NiRMnIiwsDH369EFSUhKUlJSwf/9+jBw5srSj03+U1SCgnTt34s8//0RgYCCAz//emzVrBlVVVQCf121YsGBBqc6iyMnJQWBgIDw9PUu9iH7v3j0MGDAA8fHxMDIygq+vL/r06YPU1FTIy8sjNTUVNjY2uHHjBvT09GBvb49x48aV6uzPS5cuoVOnTqU+S/DZs2cSr0s6W6AyYzsXqpQMDQ0RFxcHXV1dNG3aFH5+fmjXrh0CAwOhpaVV6u/3tRF5wOe+hdnZ2d997bzieEREBE6ePFnsESZycnKwsbHJ10NUS0sLQ4YMKdY1y0pOTg5evHgh7tetpqaGnTt3Cpyq/GGP1u9nZ2dXpjMyTE1Npd6OaMmSJQgICICxsXGBC5YpKSmJWzrJwtRikr65c+diy5Yt3zUjicVx2fLTTz9h3bp12LNnj7ifZ0X26dMniT7KQluxYgWGDh2Kbt26QV1dHV5eXhL5PD090atXLwETEpWNkrRf9PX1hZ2dHXr37o2zZ8+iV69eePz4MRISEmTus0lpqFKlCv744w8sXbpU6CgASu+ed9y4ceL/bt26NZ49e4aoqCjo6uqW6mxOKtzOnTuhq6sLQ0NDXLp0qdCBDt/7YOrgwYNYsGCBxLZDhw6JB3IcOHAA27dvL9XPCwoKChg8eHChM2hLYsGCBTA3N8fBgwfh4+OD/v37o1+/fuLPxg4ODggLC8OrV6/Eo/oXLVpUqou0duvWDbm5uXj8+HGB6xBZWloW67ocYFh6OBKdKqVNmzZBQUEBs2bNQlBQEAYMGACRSISsrCy4u7tj9uzZpfp+x48fL3TftWvX4OHhgdzcXGRkZBT7PSIiItCqVavvmhofHByMmTNn4vr16/n6Db5//x6dOnXCzp07v7v3nTSoqKggMjJSJkZqlFcqKiqIjo4Wt/Dp0qULbG1tsXjxYgDA06dPYW5ujo8fPwoZs1IJDg7GkiVLsHr1apibm+cbhVDUQo0l8ezZM8yYMQNnzpwpcMGyL/+dXbt2DdeuXRNkajF9XVmMRJfVGUn07fL67Kqrq8Pc3Py7Wr6VR3PmzEFUVBROnz4tdBQJ79+/h7q6er5RnUlJSVBXV5epwj9RaShJ+0ULCwtMmzYNP/30k/h3m4GBAaZNm4Z69erB1dVVil+JdEyYMAEtWrSoUIMU3NzcMG/evHwLLqanp2PDhg0lXqSevm7ixInfVNz93sF49erVw7Vr18RradWqVQs3b94Uv378+DHatm1b7NaP0lazZk0EBwfDwsICKSkp0NDQwM2bN9G6dWsAnwcYdejQAcnJyeJz8hZp9fb2LpVFWq9fv44xY8bg2bNn+VqvFKcNItu3lr6KPxSFqABf3phYW1sjKioKYWFhaNy4sXh0c2kqqIfco0eP4OzsjMDAQIwdOxZubm5FXmPo0KFF7v/yh/m32rx5M6ZMmVJgYU5TUxPTpk2Du7u7TBbRzczMEBsbyyJ6CdSpUwdxcXHQ0dFBZmYmwsPDJT6QfPz4sVwuOFeeWVtbA4C4T26esu4f/S0LluXp2LFjiXryUeny8PCQeJ2dnY39+/fnG91VkgVgZXFGkizLzs7GxYsX8eTJE4wZMwbVqlXDP//8Aw0NjRJ9sCoJLS0tDBs2TJD3LgtOTk4Fbn///j3Cw8Px+PFjXL58Wcqpvu7LHqdfKs2p4ESyxN3dXdwm09XVFSkpKThy5Ii4/WJRnjx5gn79+gH43BM4NTUVcnJycHR0RM+ePStkEd3IyAhubm64evUqWrdune+BZ0l+lwvF1dUV06dPz1dET0tLg6urK4voUrB///4yuW5ycrJED/TExESJ/bm5uYItalwcSUlJqFu3LoDP7X/V1NQkPgtpa2vnG1xW2ou0Tp8+HW3atMGff/5Z4PpY38vNzQ3du3cXF9Hv3buHyZMnS7RvrV+/PmeefwcW0alSyc3NxYYNG3DixAlkZmbCysoKy5cvh56entSmuPzzzz9Yvnw5vLy80Lt3b9y5cwdmZmZfPa+wD15f7rezs/uuLHn9OQuira0NkUiEjx8/Sny409TUhLGxMebNm5ev9Ys0rVy5EvPmzcOKFSsKvMksqxG7FUnfvn3h7Ows7tFatWpViQcmd+/eRaNGjQRMWPlcuHBB0PfX1tZG27ZtceLECbx+/fqbzhk4cGAZp6KibNq0SeJ13bp14ePjI7FNTk6uRB+8ubjrt3v27Bn69OmD58+f49OnT7CxsUG1atWwbt06fPr0SbDWYxXt7/D27dsFbtfQ0ICNjQ0CAgL4kJ1IBnw5K+p72y9+WbBq0KAB7t+/D3NzcyQnJyMtLa3Us8qCvXv3QktLC2FhYQgLC5PYV9Lf5ULJGwjyXxEREXyAWM41bNgQ9+/fF7eC/K+7d++iYcOGUk5VMv/9Xi3oe7egRVq3bdtWokVa80RHR8Pf31/cSrOk2L619LGITpXKqlWr4OLiAmtra6iqqmLLli148+YNPD09y/y9379/j9WrV2Pr1q1o0aIFzp8//10jvMviA3BCQkKhI403b96MhIQELFmyRKJIk5ycjLCwMPTv3x/+/v6CtXPo27cvgM8FvC9/uZX1iN2KhD1aZY+s9JH+b5/BglZzz/t3x39rwoqLi5PaeyUmJuLRo0cAgCZNmqBWrVpSe+/yYvbs2WjTpg0iIiJQo0YN8fYhQ4ZgypQpAiarWIR+4EhEZc/S0hLnzp2Dubk5hg8fjtmzZyM4OBjnzp3LN2OvopDm7/Sypq2tDTk5OcjJycHY2Fji81pOTg5SUlIwffp0ARNSSfXt2xfLli1Dv3798i1QmZ6eDldXV/FskvJi4sSJ4tYmGRkZmD59uniw3qdPn5Cbm4t69eqJF2k9fPhwqfb2b9++PWJiYkqtiP7vv/+iTp064teXLl2Cra2t+HXbtm0RHx9fKu9VWbAnOlUqRkZGmDdvHqZNmwYACAoKQr9+/ZCenl7ip4ZFWb9+PdatW4e6deti9erVBbZ3EUKjRo2wcePGQhfmCAgIwLx58xAbG5tvn7u7O/z9/REaGlrGKQtW2IIoeWSlGFkesEer7ElLS8Pz58/Fi3HlKYt2U18TFBSEhQsXYvXq1eI2LteuXRP3bhdyRgpJR2pqKhwcHODt7S1e4EhBQQF2dnbYunVrvinalVmNGjUQGhqKJk2aSPSnf/r0KUxNTQUbPWlgYFDklOCCfs8TEQkpKSkJGRkZqF+/PnJzc7F+/XqEhobCyMgIS5YsKbDlXEUVGRmJvXv34pdffhE6yjfz8vKCSCTCpEmTsHnzZolZ1UpKStDX12d7wHIuISEBLVq0gJKSEmbOnAljY2MAn9vWbtu2DdnZ2bh9+7ZEEVeW2dvbf/WY/fv3Q09PDy1btizyvqq4a80cPXoUS5Yswfz58wtcH+t7Pwvq6enBx8cHlpaWyMzMhJaWFgIDA8UPIu/du4du3bohKSmpWHkrIxbRqVJRVlZGTEyMeCFF4PPiijExMWU61UheXh6qqqqwtrbOV6j8krQX9nJwcMDFixdx8+bNAp8et2vXDj169MjXcxf4vFBIhw4dZPIH7v3797+pRQ6RrElMTIS9vT3++uuvAvcLMerbzMwMO3fuRJcuXSS2X7lyBVOnTkVkZKTUM1HZe/v2LWbOnAlfX19MmzYNQUFB2LZtGzp37gwACAkJwaxZs2BjY4MdO3YUea1bt27Bz8+vwAdDFW1BS21tbVy9ehWmpqYSRfSQkBAMGzYMCQkJguTasmWLxOusrCzcvn0bp0+fxvz58+Hs7CxILiKigmRnZ+PQoUPo3bt3uSnAlbbU1FT4+vpi7969uH79OkxNTXH//n2hY323S5cuoXPnzlBUZBOEiiguLg4zZszAuXPnxLNW5eTkYGNjg19//bVUF7qXBWW1SGueggZ25s0ILs5s+xkzZohb+B47dgxeXl74559/xIPkDh48iM2bN+PmzZvFylsZ8ScZVSrZ2dn5isVVqlRBVlZWmb6vnZ1diReFKAtLlixBQEAAjI2NMXPmTHE/s6ioKGzfvh05OTlYvHhxged++vRJpkYof/z4EYcPH8aePXsQFhbGFhNULs2ZMwfJycm4ceMGunfvjqNHjyIhIQErV67Exo0bBcn05MkTaGlp5duuqamJp0+fSj0Plb2LFy9i+vTpWL9+PQDgjz/+gL+/P7p37y4+pm/fvlBVVcWIESOKLKL7+vrCzs4OvXv3xtmzZ9GrVy88fvwYCQkJFXKx0l69emHz5s347bffAHz+4JOSkoLly5eL25AJYfbs2QVu3759O27duiXlNERERVNUVMT06dMr5YP6q1evYu/evfDz80N6ejocHR3h6emJpk2bCprr4cOHBT4M/9raONWqVUNkZCTMzc0BAMePH8e+fftgamoKFxcXmfo8Sd/PwMAAp0+fRlJSEmJiYgAAjRs3rrD97stqkdY8pd3Sie1bSx9HolOlIi8vD1tbW3GfKwAIDAxEz549JRamrGgj44ry7NkzzJgxA2fOnJF4ety7d29s37690IW55syZg6ioKJw+fVqacfO5fPky9u7diz/++AP169fH0KFDMWzYMLRt21bQXETFUa9ePRw/fhzt2rWDhoYGbt26BWNjY5w4cQLr169HSEiI1DNZWlpCRUUFPj4+4tFgCQkJsLOzQ0ZGxldbK1H5s3PnThw4cAABAQGoXbs2qlatirCwMJiYmEgc9+DBA7Rr1w6pqamFXsvCwgLTpk3DTz/9JB6ZbWBggGnTpqFevXpwdXUt6y9Hql68eIHevXtDJBIhOjoabdq0QXR0NGrWrInLly+jdu3aQkeUEBsbixYtWuDDhw9CRyGiCiwzMxNxcXFo1KjRN49I7t69OxwdHWWmDWZZevPmDfbv3w9PT0+8f/8eo0ePxpgxY9CxY0dERETA1NRUsGyxsbEYMmQI7t27J7FGzreujdO2bVs4Oztj2LBhiI2NhampKYYOHYqbN2+iX79+2Lx5c1l/CUSVHtu3lh4W0alS+ZY+V0DZLOIp6/7991/ExMRAJBLByMhIYhXnL71//x7h4eF4/PgxLl++jNatW0s5KfD69Wvs378fe/fuxYcPHzBixAjs3LlT8JtMopLS0NDA3bt3oa+vDz09PRw6dAidO3dGXFwcmjVrJkg/5ZiYGAwZMgSPHz8Wt8KKj4+HkZERjh07VmoL35BsOX78OFxdXREeHo6ePXuiZs2a8Pb2Fs/mSk9Px4QJE5CUlISgoKBCr6OmpoYHDx5AX18fNWrUwMWLF2Fubo7IyEj07NkTr169ktaXJDXZ2dk4cuQIIiIikJKSglatWmHs2LFQVVUVOlo+69evx6+//spZJURUJtLS0uDg4AAvLy8An9tBGhoawsHBAQ0aNCiylZSfnx8WLVoER0dHtG7dWmLAEyDMOjFlRVVVFf/73/8wbtw42NjYiFs6VKlSRfDPNwMGDICCggL27NkDAwMD/P3333j37h3mzp2LX375BV27di3yfE1NTYSHh6NRo0ZYt24dgoODcebMGVy9ehWjRo3iooZE/+Hj44OdO3ciLi4O165dg56eHjZv3gwDA4NK8VBR1rGdC1UqlbE4/q20tbUlRm/fvn27wOM0NDRgY2ODgICAQkepl6UBAwbg8uXL4pELffr0gYKCAnbu3Cn1LESlrUmTJnj06BH09fXRvHlz7Nq1C/r6+ti5cyfq1asnSKbGjRvj7t27OHfuHKKiogAAJiYmsLa2lsk2VZXZkydPsG/fPjx58gRbtmxB7dq18ddff0FXVxfNmjX7rmsNGjRIvECzh4cHevfujYYNG6J58+YAgIiICKioqODMmTNFXkdbWxsfP34EADRo0AD379+Hubk5kpOTBVtks6wpKipi7NixGDt2rNBR4Obmhrlz56JLly4S/15FIhFev36NxMRE/PrrrwImJKKKbNGiRYiIiMDFixfRp08f8XZra2u4uLgUWUQfNWoUAGDWrFnibSXpDSzL9PT0EBISAl1dXejp6QneuuVL165dQ3BwMGrWrAl5eXnIy8ujS5cuWLNmDWbNmlXoZ8Y8IpFIvCh5UFAQ+vfvDwDQ0dHB27dvyzw/UXmyY8cOLFu2DHPmzMGqVavEP+e0tLSwefNmFtFlAIvoRFSgCxcuCB2hQH/99RdmzZqFGTNmwMjISOg4RKVq9uzZ4pG5y5cvR58+fXDw4EEoKSmVeQ++osjJyaFXr17smSfDLl26BFtbW3Tu3BmXL1/GqlWrULt2bURERGDv3r3w9/f/7mvm9cI3MzNDdHQ0Dh48KH6QMnr06G8aXW1paYlz587B3Nwcw4cPx+zZsxEcHIxz587BysrquzPR93F1dcX06dMxaNAgiSK6vLw8atWqhe7du8tUsYaIKpZjx47hyJEj6NChg8TPoGbNmuHJkydFnlvavYFlWVRUlLgXetu2bWFsbIxx48YBgOADFnJyclCtWjUAQM2aNfHPP/+gSZMm0NPTw6NHj756fps2bbBy5UpYW1vj0qVL4nVU4uLiKu2isUSF2bp1K3bv3o3Bgwdj7dq14u1t2rTBvHnzBExGeVhEJ6JyJSQkBHv37kXr1q1hYmKC8ePHi0eqEJV3eR+YAKB169Z49uwZoqKioKuri5o1a0oth4eHB6ZOnQoVFRV4eHgUeeyXI8RIOM7Ozli5ciWcnJzEH3YBoGfPnti2bVuJr1+1alVMmTLlu8/btm0bMjIyAACLFy9GlSpVEBoaimHDhmHJkiUlzkVFy+va6OLiImwQIqqUEhMTC1wLIjU19avFYT09vbKKJZM6d+6Mzp07w8PDA4cPH8a+ffuQk5ODH3/8EWPGjMHgwYNRq1YtqecyMzMTr2fSvn17rF+/HkpKSvjtt99gaGj41fM3b96MsWPH4tixY1i8eLG4DaC/vz86depU1vGJypW4uDi0bNky33ZlZeUi1yAi6WFPdCIql1JTU3HkyBF4enri77//Rk5ODtzd3TFp0iSJAhIRfT8DAwPcunULNWrUKLJtk5ycHGJjY6WYjAqjrq6Oe/fuwcDAQLyAp6GhIZ4+fYqmTZuKC9nf6sSJE9987MCBA783LkmJvLw8EhISBCm8EBFZWlpi+PDhcHBwQLVq1XD37l0YGBjAwcEB0dHROH36dKHnrlmzBnXq1MGkSZMktnt6eiIxMRELFy4s6/iCi4yMxN69e+Hj44OkpCRkZWVJPcOZM2eQmpqKoUOHIiYmBv3798fjx49Ro0YNHDlyBD179izWdTMyMqCgoIAqVaqUcmKi8svU1BRr1qzBoEGDJO7nt27din379iE8PFzoiJUei+hEVO49evRIfIOZnJwMGxub7yoAEQnJyckJK1asgJqaGpycnIo81t3dXUqpqLxp2LAh/Pz80KlTJ4mb7qNHj2LevHlfnTb/X3mLmuXJ60P7320AiuxLe+rUKSgoKKB3794S28+ePYucnBzY2tp+Vy76PvLy8tDU1PzqiM+kpCQpJSKiyiQkJAS2trYYN24c9u/fj2nTpuHhw4cIDQ3FpUuX0Lp160LP1dfXx6FDh/KNVr5x4wZGjRpVqdq9ZGdn48SJExg6dKjQUQB8/p2hra39Xa1mwsLCEBkZCeBzobBVq1ZlFY+o3NqzZw9cXFywceNGTJ48GXv27MGTJ0+wZs0a7NmzhzPwZQDbuRBRudekSROsX78ea9asQWBgIDw9PYWORPTNbt++LR5ZVNTiTEL3xCTZNmrUKCxcuBC///475OTkkJubi6tXr2LevHmws7P77uvlLQIGfF4IbOHChVi9ejU6duwI4PNCY0uWLMHq1auLvI6zs7NET8cvr+/s7Fwhi+jJycnw9/fHkydPMH/+fFSvXh3h4eGoU6cOGjRoIPU8rq6u0NTUlPr7EhF16dIFd+7cwdq1a2Fubo6zZ8+iVatWuHbtGszNzYs89/Xr1wUuql6rVi3x+jGVhaKioswU0AGgevXq33zsmzdvMHLkSFy6dEm81kpycjJ69OgBX19fzpQi+sIPP/wAVVVVLFmyBGlpaRgzZgzq16+PLVu2sIAuIzgSnYiIiAqVk5OD/fv34/z583jz5o1EcRUAgoODBUpGX8rMzMRPP/2E/fv3IycnB4qKisjJycGYMWOwf/9+KCgoFPvaZmZm2LlzJ7p06SKx/cqVK5g6dap4ZFlBVFVVERkZCX19fYntT58+RbNmzSpcf8e7d+/C2toampqaePr0KR49egRDQ0MsWbIEz58/h7e3t1TzyMvL4/Xr1wX2JCYikmVGRkZYvny5xHoxAODj44Ply5eznZyU9OjRo8iBHF+7Dxw5ciRiY2Ph7e0NExMTAMDDhw8xYcIENG7cGIcPHy7VvEQVRVpaGlJSUngPJ2M4Ep2IiEhGffjwAcHBwWjatCmaNm0qSIbZs2dj//796NevH8zMzDgiXkYpKSlh9+7dWLZsGe7du4eUlBS0bNkSRkZGJb72kydPxKPHvpRXKC6KpqYmYmNj8xXRY2JioKamVuJsssbJyQkTJ07E+vXrJdbn6Nu3L8aMGSP1PPz3SkSy4M2bNwU+iLewsCj0nClTpmDOnDnIysoS990+f/48FixYgLlz55ZpXvo/LVq0kHidlZWFO3fu4P79+5gwYcJXzz99+jSCgoLEBXTgczuX7du3o1evXqUdl6hcSk9Px7lz59CjRw/x/WPVqlVRtWpVfPjwARcvXkTv3r2hrKwscFJiEZ2IiEhGjBgxApaWlpg5cybS09PRpk0bPH36FCKRCL6+vhg2bJjUM/n6+sLPzw99+/aV+nvT99PR0YGOjk6pXrNt27ZwcnKCj48P6tSpAwBISEjA/Pnz0a5duyLPHTRoEObMmYOjR4+iUaNGAD4X0OfOnVshFyS9efMmdu3alW97gwYN8Pr1a6nn4YRTIhJSWFgYJkyYgMjIyALX1ShqTY358+fj3bt3+PHHH5GZmQkAUFFRwcKFC7Fo0aIyzU3/Z9OmTQVud3FxQUpKylfPz83NLXDx0CpVquR7qEJUWf322284ceJEgffGGhoa8PDwQHx8PH766ScB0tGX5L9+CBEREUnD5cuX0bVrVwDA0aNHIRKJkJycDA8PD6xcuVKQTEpKSmjcuLEg702ywdPTE69evYKuri4aN26Mxo0bQ1dXFy9fvsTevXuLPHf9+vVQU1ND06ZNYWBgAAMDA5iYmKBGjRr45ZdfpPQVSI+ysjI+fPiQb/vjx48F6fuam5vLacBEJJhJkybB2NgYoaGhiI2NRVxcnPjP19qxyMnJYd26dUhMTMT169cRERGBpKQkLFu2TErpqSjjxo37pnWoevbsidmzZ+Off/4Rb3v58iUcHR1hZWVVlhGJyo2DBw9izpw5he6fM2cOvLy8pBeICsWe6ERERDJCVVUVjx8/ho6ODuzs7FC/fn2sXbsWz58/h6mp6TeN+CltGzduRGxsLLZt28bWEJWYSCTCuXPnEBUVBQAwMTGBtbX1N31P5J0bEREBVVVVWFhYwNLSsqwjC+KHH37Au3fv4Ofnh+rVq+Pu3btQUFDA4MGDYWlpic2bNwsdkYhIaqpVq4bbt2+X+GH8ixcvAAANGzYsjVgyKzU1FWvXri10HRpZ6gPv4+ODhQsXShTHCxIfH4+BAwfiwYMH4ply8fHxMDMzw4kTJyr83ynRt9DW1kZERAR0dXUL3P/8+XM0b94c//77r5ST0X+xnQsRlRsnTpz45mMrYpsAqvh0dHRw7do1VK9eHadPn4avry8A4N9//4WKioogmUJCQnDhwgX89ddfaNasWb4puQEBAYLkIumSk5NDr169YGlpCWVl5e96oJJ3bmXofbpx40b873//Q+3atZGeno5u3brh9evX6NixI1atWiV0PCIiqbKyskJERESxiui5ublYuXIlNm7cKB5EUK1aNcydOxeLFy+GvHzFm1T/ww8/4NKlSxg/fjzq1asnE4MXhg4dKvFaJBLh1atXuHXrFpYuXfrV83V0dBAeHo6goKB8D+KJ6LPs7GwkJiYWWkRPTExEdna2lFNRQVhEJ6JyY/DgwRKv5eTkJPorfnmjWVSPRSJZNWfOHIwdOxbq6urQ09ND9+7dAXxu82Jubi5IJi0tLQwZMkSQ9ybZkJubi1WrVmHnzp1ISEjA48ePYWhoiKVLl0JfXx+TJ0+WON7DwwNTp06FiooKPDw8irz2rFmzyjK61GlqauLcuXO4evUqIiIikJKSglatWrFYQESV0p49ezBhwgTcv38fZmZm+R7EFzXoZfHixdi7dy/Wrl2Lzp07A/j8YN/FxQUZGRkV8sHkX3/9hT///FP89coCTU1Nidfy8vJo0qQJ3NzcvvnhuJycHGxsbGBjY1MWEYnKvWbNmiEoKAitW7cucP/Zs2fRrFkzKaeigrCdCxGVS0FBQVi4cCFWr16Njh07AgCuXbuGJUuWYPXq1bxJo3Lr1q1biI+Ph42NDdTV1QEAf/75J7S0tGTqQxXJprS0NDx//ly8CFseCwuLYl/Tzc0NXl5ecHNzw5QpU3D//n0YGhriyJEj2Lx5M65duyZxvIGBAW7duoUaNWrAwMCg0OvKycnJ1NT00uDt7Y2RI0dCWVlZYntmZiZ8fX1hZ2cnUDIiIukLDAzE+PHjC1wr4msLi9avXx87d+7MV2g/fvw4fvzxR7x8+bLU8wrNwMAAp06dgomJidBRSiw4OBgzZ87E9evXoaGhIbHv/fv36NSpE3bu3CleC4ioMvvtt9/g5OQEX19f9O/fX2JfYGAgRo8eDXd3d0ydOlWghJSHRXQiKpfMzMywc+dOdOnSRWL7lStXMHXqVERGRgqUjKj05OTk4N69e9DT04O2trbQcUiGJSYmwt7eHn/99VeB+0syO6dx48bYtWsXrKysUK1aNURERMDQ0BBRUVHo2LEj+zN+QUFBAa9evcq3mOe7d+9Qu3ZtzpIiokpFX18f/fv3x9KlS1GnTp3vOldFRQV3796FsbGxxPZHjx6hRYsWSE9PL82oMuHAgQM4fvw4vLy8ULVqVaHjSLh165b485WpqWmhI2bzDBw4ED169ICjo2OB+z08PHDhwgUcPXq01LMSlUfjxo3DoUOH0LRpUzRp0gQAEBUVhcePH2PEiBE4fPiwwAkJYDsXIiqnnjx5Ai0trXzbNTU18fTpU6nnISoNc+bMgbm5OSZPnoycnBx069YNoaGhqFq1Kk6ePClu71LWWrVqhfPnz0NbWxstW7YssidneHi4VDJR0ebMmYPk5GTcuHED3bt3x9GjR5GQkCDuJ1sSL1++LLCfbW5uLrKyskp07YpGJBIV+O/lxYsX+abEExFVdO/evYOjo+N3F9ABoHnz5ti2bVu+tmDbtm1D8+bNSyuiTNm4cSOePHmCOnXqQF9fP1/7GyHuuV68eIHRo0fj6tWr4s9eycnJ6NSpE3x9fQtdGDQiIgLr1q0r9Lq9evXCL7/8UhaRicqlAwcOYODAgTh06BAeP34MkUiEJk2awNXVFSNGjBA6Hv1/LKITUbnUtm1bODk5wcfHR3xjnpCQgPnz56Ndu3YCpyMqHn9/f4wbNw7A56l7cXFxiIqKgo+PDxYvXoyrV69KJcegQYPE7Sj+uxYByabg4GAcP34cbdq0gby8PPT09GBjYwMNDQ2sWbMG/fr1K/a1TU1NceXKFejp6Uls9/f3R8uWLfMd7+Tk9M3Xdnd3L3YuWZL3sElOTg5WVlZQVPy/W+ycnBzExcWhT58+AiYkIpK+oUOH4sKFC2jUqNF3n7t+/Xr069cPQUFBEq0b4+PjcerUqdKOKhNk8Z7rhx9+QFZWFiIjI8WjYx89egR7e3v88MMPOH36dIHnJSQk5HsI8CVFRUUkJiaWSWai8mrEiBEsmMs4FtGJqFzy9PTEkCFDoKurCx0dHQBAfHw8jIyMcOzYMWHDERXT27dvUbduXQDAqVOnMHz4cBgbG2PSpEnYsmWL1HIsX74cwOfiX48ePWBhYVHgzA+SHampqeIWItra2khMTISxsTHMzc1LPHJt2bJlmDBhAl6+fInc3FwEBATg0aNH8Pb2xsmTJ/Mdf/v27W+6blEzHMqbvMLHnTt30Lt3b/F6BgCgpKQEfX19DBs2TKB0RETCMDY2xqJFixASEgJzc/N8RdWiFpfu1q0bHj9+jO3btyMqKgrA56L8jz/+iPr165dpbqHk3X/JkkuXLiE0NFRcQAeAJk2aYOvWrUX2M2/QoAHu379f4Ew2ALh79y7q1atX6nmJiMoSe6ITUbklEolw7tw58Y21iYkJrK2tK1RhhioXPT097N69G1ZWVjAwMMCOHTvQr18/PHjwAF26dBGk97SKigoiIyOLXCCShNe2bVusXLkSvXv3xsCBA6GlpYU1a9bAw8MD/v7+ePLkSYmuf+XKFbi5uSEiIgIpKSlo1aoVli1bhl69epXSV1AxeHl5YeTIkVBRURE6ChGR4Crb4tIVkbGxMQ4cOJBvpu/ff/+NMWPGICYmpsDzHBwccPHiRdy8eTPf78T09HS0a9cOPXr0yNeuh4hIlrGITkTlXkZGBpSVlVk8p3LPxcUFmzdvRr169ZCWlobHjx9DWVkZnp6e2L17N65duyb1TG3atMG6detgZWUl9femb3fgwAFkZ2dj4sSJCAsLQ58+fZCUlAQlJSXs378fI0eOFDoi4uPjAUA8e6giy8zMxJs3b5CbmyuxXVdXV6BERETlT0ZGBu7evVvgz9OBAwcKlKrs5OTkYNOmTfDz88Pz58+RmZkpsT8pKUnqmY4fP47Vq1dj+/btaNOmDYDPi4w6ODhg4cKFhbagSUhIQKtWraCgoICZM2dKLJS4fft25OTkIDw8vFj98omIhMIiOhGVS7m5uVi1ahV27tyJhIQEPH78GIaGhli6dCn09fUxefJkoSMSFYu/vz/i4+MxfPhw8WJNXl5e0NLSwqBBg6Se5/Tp01i0aBFWrFiB1q1bQ01NTWK/hoaG1DPR16WlpSEqKgq6urqoWbNmia518+ZN5Obmon379hLbb9y4AQUFBfGH6oJkZ2fD1dUVHh4eSElJAQCoq6vDwcEBy5cvL7JfankUHR2NSZMmITQ0VGJ73oKjOTk5AiUjIhJWXtnhWwe9nD59GnZ2dnj79m2+fRX15+myZcuwZ88ezJ07F0uWLMHixYvx9OlTHDt2DMuWLSuy/U1Z0dbWRlpaGrKzs8XrfeT993/vCf9b5H/27BlmzJiBM2fOSPz99+7dG9u3b+csRyIqd1hEJ6Jyyc3NDV5eXnBzc8OUKVNw//59GBoa4siRI9i8ebMgI3aJKhI3NzfMnTsX1apVE2/78oMvi4KVR7t27bBgwQL873//k9geEBCAdevW4caNG4WeO2PGDAQEBMDNzU1iYTgXFxcMHjwYO3bsKNPs0ta5c2coKirC2dkZ9erVy1csat68uUDJiIiE4e3tjQ0bNiA6OhrA5/Yg8+fPx/jx44s8z8jICL169cKyZcsqzWjlRo0awcPDA/369UO1atVw584d8bbr16/j0KFDUs/k5eX1zcdOmDChwO3//vsvYmJiIBKJYGRkBG1t7dKKR0QkVSyiE1G51LhxY+zatQtWVlaoVq0aIiIiYGhoiKioKHTs2FGQ3tFEJeXm5lbk/mXLlkkpCaCgoIBXr14hMjKyyOO6desmpUT0X05OTlixYgXU1NTg5ORU5LHu7u7Ffh91dXXcvXsXhoaGEtvj4uJgYWGBjx8/FnqupqYmfH19YWtrK7H91KlTGD16NN6/f1/sXLJITU0NYWFhaNq0qdBRiIgE5+7ujqVLl2LmzJno3LkzACAkJATbt2/HypUr4ejoWOi5GhoauH37Nho1aiStuIJTU1NDZGQkdHV1Ua9ePfz5559o1aoVYmNj0bJlywr3O5OI8rt161ahLZ0CAgIESkV5FIUOQERUHC9fvixwtffc3FxkZWUJkIio5I4ePSrxOisrC3FxcVBUVESjRo2kWkTPe8bOIrnsun37tvjn3e3btws9rqTrRSgrKyMhISFfEf3Vq1fiqd1Fnauvr59vu4GBAZSUlEqUSxaZmpoW2HqAiKgy2rp1K3bs2AE7OzvxtoEDB6JZs2ZwcXEpsoj+v//9DxcvXqxURfSGDRvi1atX0NXVRaNGjXD27Fm0atUKN2/ehLKystDxkJGRka+ox7Z+RKXH19cXdnZ26N27N86ePYtevXrh8ePHSEhIwJAhQ4SOR2ARnYjKKVNTU1y5cgV6enoS2/39/dGyZUuBUhGVTEGF0A8fPmDixImC3DhxsV7ZduHChQL/u7T16tULixYtwvHjx6GpqQkASE5Oxs8//wwbG5siz505cyZWrFiBffv2iQsAnz59wqpVqzBz5swyyyyUdevWYcGCBVi9ejXMzc3z9XxnsYGIKpNXr16hU6dO+bZ36tQJr169KvLcbdu2Yfjw4bhy5UqBP0+F6A9e1oYMGYLz58+jffv2cHBwwLhx47B37148f/68yAcOZSk1NRULFy6En58f3r17l28/2/oRlZ7Vq1dj06ZN+Omnn1CtWjVs2bIFBgYGmDZtGurVqyd0PALbuRBROXX8+HFMmDABixYtgpubG1xdXfHo0SN4e3vj5MmTXy3sEJUn9+7dw4ABA/D06VOpvae8vDw0NTW/Wkj/7yJSVPG8fPkSlpaWePfunfgh5Z07d1CnTh2cO3cOOjo6EscPHTpU4nVQUBCUlZXF/cAjIiKQmZkJKyurCjctVV5eHkD+B1BcQ4CIKiMzMzOMGTMGP//8s8T2lStX4siRI7h3716h5+7duxfTp0+HiooKatSoIfFzVU5ODrGxsWWWW1Zcu3YN165dg5GREQYMGCBIhp9++gkXLlzAihUrMH78eGzfvh0vX77Erl27sHbtWowdO1aQXEQVkZqaGh48eAB9fX3UqFEDFy9ehLm5OSIjI9GzZ8+vPnyksseR6ERULg0aNAiBgYFwc3ODmpoali1bhlatWiEwMJAFdKpw3r9/L0gfTFdXV/HIY5JtqampWLt2Lc6fP483b94gNzdXYn9Jig0NGjTA3bt3cfDgQUREREBVVRX29vYYPXp0vpGBAPJ9zwwbNkzi9X+L7hVJWc4IICIqL3r27ImAgAC4urpi5MiRuHz5srgn+tWrV3H+/Hn4+fkVeY3FixfD1dUVzs7O4geUlU3Hjh3Fi3ILJTAwEN7e3ujevTvs7e3RtWtXNG7cGHp6ejh48CCL6ESlSFtbW7zWUIMGDXD//n2Ym5sjOTkZaWlpAqcjgCPRiYiIZIaHh4fEa5FIhFevXsHHxwfdunXDoUOHpJZFXl4er1+/Ru3ataX2nlR8o0ePxqVLlzB+/HjUq1cv30jo2bNnC5SMiIgqmy/vIcLCwrBp0ybxQuUmJiaYO3fuV9svVq9eHTdv3qzwPdFPnDgBW1tbVKlSBSdOnCjy2IEDB0op1f9RV1fHw4cPoauri4YNGyIgIADt2rVDXFwczM3NkZKSIvVMRBXVmDFj0KZNGzg5OWHFihXYunUrBg0ahHPnzqFVq1YVbgZnecQiOhGVS4aGhrh58yZq1KghsT05OVm8ij1ReWNgYCDxWl5eHrVq1ULPnj2xaNEiVKtWTWpZFBQU8OrVKxbRywktLS38+eef4pF+ZeHhw4d4/vx5vkXFhPhQL8uuXLmCXbt2ITY2Fr///jsaNGgAHx8fGBgYoEuXLkLHIyIqc6XxIN7R0RG1atXK1wqmovny/1VRI+6FaglmYWGBrVu3olu3brC2tkaLFi3wyy+/wMPDA+vXr8eLFy+knomookpKSkJGRgbq16+P3NxcrF+/HqGhoTAyMsKSJUugra0tdMRKj+1ciKhcevr0aYE3kp8+fcLLly8FSERUcnFxcYXuS09Pl2KSz6PgqfzQ1tZG9erVy+TasbGxGDJkCO7duwc5OTnx90beaPeiPtQbGBgU2Ve/oj3w/OOPPzB+/HiMHTsW4eHh+PTpE4DPLZlWr16NU6dOCZyQiEg6Hj58iNevXxd5jIWFRaH7cnJysH79epw5cwYWFhb52oe5u7uXSk6hfdl+7b+t2GSBvb09IiIi0K1bNzg7O2PAgAHYtm0bsrKyKszfAZGs+PJeXl5eHs7OzgKmoYJwJDoRlSt50xwHDx4MLy8vid67OTk5OH/+PM6dO4dHjx4JFZGoVH369Anbt2/H+vXrv/phlCqvAwcO4Pjx4/Dy8kLVqlVL9doDBgyAgoIC9uzZAwMDA/z999949+4d5s6di19++QVdu3YVH+vv748OHTqgYcOGAIAtW7ZIXCsrKwu3b9/G6dOnMX/+/Ar34aBly5ZwdHSEnZ0dqlWrhoiICBgaGuL27duwtbXlv2EiqhTk5eUlHroW5Gsjq3v06FHkucHBwSXKKGuysrLQp08f7Ny5E0ZGRkLHKdSzZ88QFhaGxo0bF/kQhIi+36lTp6CgoIDevXtLbD979ixycnJga2srUDLKw5HoRFSuDB48GMDnm+cJEyZI7KtSpQr09fWxceNGAZIRFd+nT5/g4uKCc+fOQUlJCQsWLMDgwYPh6emJJUuWQEFBAY6OjkLHJBm2ceNGPHnyBHXq1IG+vn6+EXvh4eHFvva1a9cQHByMmjVrQl5eHvLy8ujSpQvWrFmDWbNm4fbt2+JjFRUV0bVrVxw7dgzNmzcvtBf79u3bcevWrWJnklWPHj2CpaVlvu2amppITk6WfiAiIoHcuHEDtWrVKvb5lW2h5ipVquDu3btCxxDLzc3Fhg0bcOLECWRmZsLKygrLly+Hnp4e9PT0hI5HVCE5Oztj7dq1+bbn5ubC2dmZRXQZwCI6EZUredMcDQwMcPPmTdSsWVPgREQlt2zZMuzatQvW1tYIDQ3F8OHDYW9vj+vXr8Pd3R3Dhw+HgoKC0DFJhuU9YCwLOTk54n78NWvWxD///IMmTZpAT08v36yfwYMHo379+pgwYQLu3LlT6DVtbW2xaNEi7Nu3r8xyC6Fu3bqIiYmBvr6+xPaQkBAYGhoKE4qISAC6urqlsq5KTEwMnjx5AktLS6iqqkIkEhXZJqw8GzduHPbu3VtgEU3aVq1aBRcXF1hbW0NVVRVbtmzBmzdv4OnpKXQ0ogorOjoapqam+bY3bdoUMTExAiSi/2IRnYjKpaJ6RxOVN7///ju8vb0xcOBA3L9/HxYWFsjOzkZERESF/aBIpWv58uVldm0zMzNERETAwMAA7du3x/r166GkpITffvutwMJwu3btcPny5SKv6e/vX2Y93IU0ZcoUzJ49G56enpCTk8M///yDa9euYd68eVi6dKnQ8YiIyo13795hxIgRuHDhAuTk5BAdHQ1DQ0NMnjwZ2traFXLmaXZ2Njw9PREUFITWrVtDTU1NYr80e5B7e3vj119/xbRp0wAAQUFB6NevH/bs2VPkAqhEVHyampqIjY3NNxgjJiYm388DEgaL6ERUbnh4eGDq1KlQUVGBh4dHkcfOmjVLSqmISu7Fixdo3bo1gM8FS2VlZTg6OrKATt8sPj4ecnJy4l7kf//9Nw4dOgRTU1NMnTq1RNdesmQJUlNTAQBubm7o378/unbtiho1auDIkSMFnqOhoQHgc4/wL7+PRSIRXr9+jcTERPz6668lyiWLnJ2dkZubCysrK6SlpcHS0hLKysqYN28eHBwchI5HRCQV3bp1g5KSUomu4ejoiCpVquD58+cwMTERbx85ciScnJwqZBH9/v37aNWqFQDg8ePHEvukfU/4/Plz9O3bV/za2tpa/HA4716DiErXoEGDMGfOHBw9ehSNGjUC8LmAPnfuXAwcOFDgdARwYVEiKkcMDAxw69Yt1KhRAwYGBoUeJycnh9jYWCkmIyoZBQUFvH79Wtw7tFq1arh7926R3+dEX+ratSumTp2K8ePH4/Xr1zA2NoaZmRmio6Ph4OCAZcuWler7JSUlQVtb+6sf6l1dXSVey8vLo1atWujevTuaNm1aqplkSWZmJmJiYpCSkgJTU1Ooq6sLHYmIqFypW7cuzpw5g+bNm0ss1BwbGwsLCwukpKQIHbFC+++9KcD7U6Ky9v79e/Tp0we3bt0SP6x68eIFunbtioCAAGhpaQkbkFhEJyIiEpq8vDxsbW2hrKwMAAgMDETPnj3zTdsLCAgQIh6VA9ra2rh+/TqaNGkCDw8PHDlyBFevXsXZs2cxffp0PliUkvfv3yMnJydfq5qkpCQoKiqKR+gTEVHRqlWrhvDwcBgZGUkU0W/duoXevXvj3bt3Qkcsdfv27cOoUaOgqqoqdJR896ZAwfenvDclKl0ikQjnzp1DREQEVFVVYWFhUeCi9SQMFtGJiIgEZm9v/03HVbRFGKn0qKur4/79+9DX18fAgQPRuXNnLFy4EM+fP0eTJk2Qnp7+3decNGnSNx33tUXGcnJycPToUURGRgIATE1NMWjQICgqVryugra2thgwYAB+/PFHie07d+7EiRMncOrUKYGSERGVL3379kXr1q2xYsUK8QhoPT09jBo1Crm5ufD39xc6YqmrU6cO0tPTMXz4cEyePBmdOnUSLAvvTYmI8mMRnYjKpZycHOzfvx/nz5/HmzdvkJubK7E/ODhYoGRERNLXvn179OjRA/369UOvXr1w/fp1NG/eHNevX8f//vc/vHjx4ruvKS8vDz09PbRs2RJF3S4ePXq00H0PHjzAgAEDkJCQgCZNmgD43Oe1Vq1aCAwMhJmZ2XfnkmXVq1fH1atXJfr3AkBUVBQ6d+5cIUdOEhGVhfv378PKygqtWrVCcHAwBg4ciAcPHiApKQlXr14V9wuuSLKzsxEYGIj9+/fjr7/+gqGhIezt7TFhwgTUrVtX6HhEVAa47lv5wiI6EZVLM2fOxP79+9GvXz/Uq1cvX1/eTZs2CZSMiEj6Ll68iCFDhuDDhw+YMGGCeHT4zz//jKioqGJNt/7pp59w+PBh6Onpwd7eHuPGjcvXpuRrOnbsiFq1asHLywva2toAgH///RcTJ05EYmIiQkNDvzuXLFNTU8P169dhbm4usf3evXto37490tLSBEpGRCSsvLLD9yyQ+f79e2zbtg0RERFISUlBq1at8NNPP6FevXplFVNmJCQk4MCBA/Dy8kJUVBT69OmDyZMnY8CAAZCXlxc6HhGVEq77Vr6wiE5E5VLNmjXh7e0tsWo8EVFllpOTgw8fPoiL1QDw9OlTVK1aFbVr1y7WNT99+oSAgAB4enoiNDQU/fr1w+TJk9GrV69vKoSoqqri1q1baNasmcT2+/fvo23btsVqMyPLevToATMzM2zdulVi+08//YS7d+/iypUrAiUjIhKGt7c3NmzYgOjoaACAsbEx5s+fj/HjxwucTPbduHEDnp6e8PLyQr169fDvv/9CW1sb+/btQ/fu3YWOR0RU6VS8ZpREVCkoKSmhcePGQscgIpIZCgoKyM7ORkhICACgSZMm0NfXL9E1lZWVMXr0aIwePRrPnj3D/v378eOPPyI7OxsPHjyAurp6kecbGxsjISEhXxH9zZs3FfJn+MqVK2FtbY2IiAhYWVkBAM6fP4+bN2/i7NmzAqcjIpIud3d3LF26FDNnzkTnzp0BACEhIZg+fTrevn0LR0fHQs+Njo7G8ePH8fTpU8jJycHQ0BCDBw8ucqRmRZCQkAAfHx/s27cPsbGxGDx4ME6ePAlra2ukpqbCzc0NEyZMwLNnz4SOSkRU6XAkOhGVSxs3bkRsbCy2bdv2XdNCiYgqotTUVDg4OMDb21u8RoSCggLs7OywdetWVK1atcTvER8fj3379mH//v3IzMxEVFTUV4vop06dwoIFC+Di4oIOHToAAK5fvw43NzesXbsWXbp0ER+roaFR4oyy4M6dO9iwYQPu3LkDVVVVWFhYYNGiRTAyMhI6GhGRVBkYGMDV1RV2dnYS2728vODi4oK4uLgCz1uzZg2WLVuG3Nxc1K5dGyKRCImJiVBQUMDq1asxb948acSXugEDBuDMmTMwNjbGDz/8ADs7u3xt1N68eYO6devmWw+KiMonJyenbz7W3d29DJPQt2ARnYjKpSFDhuDChQuoXr06mjVrhipVqkjsL07/XyKi8mLz5s0wNzcXj3aeNm0agoKCsG3bNonRfrNmzYKNjQ127NhRrPf5sp1LSEgI+vfvD3t7e/Tp0+eberJ+eUzeA8//9sUViUSQk5NDTk5OsTISEZFsUlFRwf379/PNPIqOjoa5uTkyMjLynXPhwgVYW1tj6dKlmD17trhFWVJSEjZv3ozVq1cjODgYlpaWUvkapGny5Mn44Ycf0LFjx0KPEYlEeP78OfT09KSYjIjKSo8ePb7pODk5OQQHB5dxGvoaFtGJqFyyt7cvcv++ffuklISISPrCwsIwfPhwuLq6Yvz48ahZsyb8/f3z9Ui9cOECRowYgcTExO9+jx9//BG+vr7Q0dHBpEmTMHbsWNSsWfO7rnHp0qVvPrZbt27fG1EmfPjwQTyK/sOHD0UeW1FG2xMRfQszMzOMGTMGP//8s8T2lStX4siRI7h3716+c0aOHAktLS3s2rWrwGtOnToVHz9+xOHDh8skMxERUWFYRCciIiIqhxITE2FnZ4e//voLVatWRVhYGExMTCSOefDgAdq1a4fU1NTvvr68vDx0dXXRsmXLIttmVfaZPwoKCnj16hVq164NeXn5Av9fcbQ9EVVGf/zxB0aOHAlra2vxLKmrV6/i/Pnz8PPzw5AhQ/KdY2BgAB8fH4l2X1+6cuUK7OzsCm0FUx5du3YN7969Q//+/cXbvL29sXz5cqSmpmLw4MHYunUrlJWVBUxJRNIUHx8PANDR0RE4CX2JC4sSERERlUO1atXCqVOnAAAdO3bE8uXL4e3tDRUVFQBAeno6XF1di5wWXhQ7O7tSWXPiypUr2LVrF2JjY/H777+jQYMG8PHxgYGBQaFFkvIkODhY3LM2ODiY63QQEf1/w4YNw40bN7Bp0yYcO3YMAGBiYoK///4bLVu2LPCchISEIhfFNjAwwOvXr8sgrXDc3NzQvXt3cRH93r17mDx5MiZOnAgTExNs2LAB9evXh4uLi7BBiahMZWdnw9XVFR4eHkhJSQEAqKurw8HBAcuXL8/XwpakjyPRiahc0dbWLrBAoampCWNjY8ybNw82NjYCJCMiEs79+/fRu3dvfPr0Cc2bNwcAREREQEVFBWfOnEGzZs0EyfXHH39g/PjxGDt2LHx8fPDw4UMYGhpi27ZtOHXqlPghQHm3bds2jBs3DlpaWkJHISIq1+Tl5fH69WvUrl27wP0JCQmoX79+hZrZU69ePQQGBqJNmzYAgMWLF+PSpUsICQkBAPz+++9Yvnw5Hj58KGRMIipjM2bMQEBAANzc3MSDYK5duwYXFxcMHjy42GscUelhEZ2IyhUvL68CtycnJyMsLAxHjhyBv78/BgwYIOVkRETCSktLw8GDBxEVFQXg82i/sWPHQlVVVbBMLVu2hKOjI+zs7FCtWjVERETA0NAQt2/fhq2tbYUZTaipqYmsrCwMHjwYP/zwA3r27Cl0JCIimZKRkYHMzEyJbQWtEyEvL4+VK1dCXV29wOt8/PgRy5Ytq1BFdBUVFURHR4vbNnTp0gW2trZYvHgxAODp06cwNzfHx48fhYxJRGVMU1MTvr6+sLW1ldh+6tQpjB49Gu/fvxcoGeVhOxciKlcmTJhQ5P4WLVpgzZo1LKITUaVTtWpVTJkyRegYEh49egRLS8t82zU1NZGcnCz9QGXk9evX+P3337Fv3z7Y2NhAV1cXkyZNwsSJE9nLkogqrbS0NCxYsAB+fn549+5dvv0FFcJ1dXWxe/fuIq+rq6tbahllQZ06dRAXFwcdHR1kZmYiPDwcrq6u4v0fP35kGweiSkBZWbnAdlYGBgZQUlKSfiDKR17oAEREpal///7iUZhERJXFl8WJ+Ph4LFu2DPPnz8fly5cFTAXUrVsXMTEx+baHhITA0NBQgERlQ1VVFXZ2drhw4QKio6Mxfvx47N27FwYGBujTpw9+//13ZGVlCR2TiEiq5s+fj+DgYOzYsQPKysrYs2cPXF1dUb9+fXh7exd4ztOnTxEXF/fVPxVJ37594ezsjCtXrmDRokWoWrUqunbtKt5/9+5dNGrUSMCERCQNM2fOxIoVK/Dp0yfxtk+fPmHVqlWYOXOmgMkoD9u5EFGFcu/ePdjY2FSYFgFEREW5d+8eBgwYgPj4eBgZGcHX1xd9+vRBamoq5OXlkZqaCn9/fwwePFiQfGvWrMGBAwfg6ekJGxsbnDp1Cs+ePYOjoyOWLl0KBwcHQXJJg0gkQlBQEPbv349jx45BTU0Nb968EToWEZHU6OrqwtvbG927d4eGhgbCw8PRuHFj+Pj44PDhwxVmXYySevv2LYYOHYqQkBCoq6vDy8sLQ4YMEe+3srJChw4dsGrVKgFTElFZGDp0qMTroKAgKCsrS6xxlJmZCSsrKwQEBAgRkb7Adi5EVKHs3bsXLVq0EDoGEZFULFiwAObm5jh48CB8fHzQv39/9OvXTzwV3sHBAWvXrhWsiO7s7Izc3FxYWVkhLS0NlpaWUFZWxrx58yp0AR0A5OTkoKioCDk5OYhEIo5EJ6JKJykpSTzrSENDA0lJSQA+9/yeMWOGkNFkSs2aNXH58mW8f/8e6urqUFBQkNj/+++/F9ojnojKN01NTYnXw4YNk3jNtoCyhSPRiahccXJyKnD7+/fvER4ejsePH+Py5cto3bq1lJMREUlfzZo1ERwcDAsLC6SkpEBDQwM3b94U/wyMiopChw4dBO8/npmZiZiYGKSkpMDU1BTq6upIT08XdNHTshIfH499+/Zh//79eP78OSwtLTF58mQMGzYMKioqQscjIpIaCwsLbN26Fd26dYO1tTVatGiBX375BR4eHli/fj1evHghdEQiIqJvxpHoRFSu3L59u8DtGhoasLGxQUBAAAwMDKSciohIGElJSahbty4AQF1dHWpqatDW1hbv19bWxsePH4WKJ6akpARTU1MAn3s7uru7Y/369RWm9VZmZiYCAgLg6emJ4OBg1KtXDxMmTMCkSZMqVO93IqLvYW9vj4iICHTr1g3Ozs4YMGAAtm3bhqysLLi7uwsdj4iI6LuwiE5E5cqFCxeEjkBEJFPk5OSKfC2ET58+wcXFBefOnYOSkhIWLFiAwYMHY9++fVi8eDEUFBTg6OgodMxSU7duXaSlpaF///4IDAxE7969IS8vL3QsIiJBfflz3traGpGRkeK+6BYWFgImIyKSPQYGBkXex8fGxkoxDRWERXQiIiKicmzixIlQVlYGAGRkZGD69OlQU1MD8LmYLYRly5Zh165dsLa2RmhoKIYPHw57e3tcv34d7u7uGD58eL6er+XZkiVLMH78eNSqVUvoKEREMktfXx/6+vrfdGx4eDiqVKkCc3NzAMDx48exb98+mJqawsXFBUpKSmWYlIio7Pn7+6NDhw5o2LAhAGDOnDkS+7OysnD79m2cPn0a8+fPFyAh/ReL6ERERETl1IQJEyRejxs3Lt8xdnZ20ooj9vvvv8Pb2xsDBw7E/fv3YWFhgezsbERERMjESPnSVth6HUREldG1a9fw7t079O/fX7zN29sby5cvR2pqKgYPHoytW7eKHwAXZNq0aXB2doa5uTliY2MxatQoDBkyBL///jvS0tKwefNmKXwlRERlR1FREV27dsWxY8fQvHlzzJ49u8Djtm/fjlu3bkk5HRWEC4sSERERUalSUlJCXFwcGjRoAABQVVXF33//LR5RSEREFZetrS26d++OhQsXAgDu3buHVq1aYeLEiTAxMcGGDRswbdo0uLi4FHoNTU1NhIeHo1GjRli3bh2Cg4Nx5swZXL16FaNGjUJ8fLyUvhoiorLz999/Y+rUqbhz506hx8TGxqJFixb48OGD9IJRgdiskYiIiIhKVU5OjsRUe0VFRairqwuYiIiIpOXOnTuwsrISv/b19UX79u2xe/duODk5wcPDA35+fkVeQyQSITc3FwAQFBSEvn37AgB0dHTw9u3bsgtPRCRF7dq1w+XLl4s8xt/fH9WrV5dSIioK27kQERERUakSiURF9mrPExAQIEQ8IiIqQ//++y/q1Kkjfn3p0iXY2tqKX7dt2/arI8nbtGmDlStXwtraGpcuXcKOHTsAAHFxcRLXJiIq7zQ0NAAALVu2lGh7KBKJ8Pr1ayQmJuLXX38VKh59gUV0IiIiIipV39KrvaLL65hYEXvAExEVpU6dOoiLi4OOjg4yMzMRHh4OV1dX8f6PHz+iSpUqRV5j8+bNGDt2LI4dO4bFixejcePGAD6PyOzUqVOZ5iciEsLgwYMlXsvLy6NWrVro3r07mjZtKkwoksCe6EREREREpcTb2xsbNmxAdHQ0AMDY2Bjz58/H+PHjBU5GRCQdM2bMQEREBNatW4djx47By8sL//zzj7jN18GDB7F582bcvHnzu6+dkZEBBQWFrxbhiYiIShtHohMRERERlQJ3d3csXboUM2fOROfOnQEAISEhmD59Ot6+fQtHR0eBExIRlb0VK1Zg6NCh6NatG9TV1eHl5SWxToanpyd69epVrGurqKiUVkwiIpmTk5ODo0ePIjIyEgBgamqKQYMGQVGR5VtZwJHoRERERESlwMDAAK6urrCzs5PY7uXlBRcXF8TFxQmUjIhI+t6/fw91dXUoKChIbE9KSoK6urpEYT2PgYGBRBus2NjYMs9JRCQLHjx4gAEDBiAhIQFNmjQBADx+/Bi1atVCYGAgzMzMBE5ILKITEREREZUCFRUV3L9/X9y7N090dDTMzc2RkZEhUDIiovLh0qVLEq+7desmUBIiIunq2LEjatWqBS8vL2hrawP4vFDzxIkTkZiYiNDQUIETEovoRERERESlwMzMDGPGjMHPP/8ssX3lypU4cuQI7t27J1AyIiIiIpJlqqqquHXrFpo1ayax/f79+2jbti3S09MFSkZ52FSHiIiIiKgUuLq6YuTIkbh8+bK4J/rVq1dx/vx5+Pn5CZyOiKh8efLkCfbt24cnT55gy5YtqF27Nv766y/o6urmKzIREZV3xsbGSEhIyPfz7c2bN/lmOZIw5IUOQERERERUEQwbNgw3btxAzZo1cezYMRw7dgw1a9bE33//jSFDhggdj4io3Lh06RLMzc1x48YNBAQEICUlBQAQERGB5cuXC5yOiKj0rVmzBrNmzYK/vz9evHiBFy9ewN/fH3PmzMG6devw4cMH8R8SBtu5EBEREREREZHM6NixI4YPHw4nJydUq1YNERERMDQ0xN9//42hQ4fixYsXQkckIipV8vL/N845b4HlvJLtl6/l5OSQk5Mj/YDEdi5ERERERKUtIyMDmZmZEts0NDQESkNEVL7cu3cPhw4dyre9du3aePv2rQCJiIjK1oULF4SOQF/BIjoRERERUSlIS0vDggUL4Ofnh3fv3uXbz1FDRETfRktLC69evYKBgYHE9tu3b6NBgwYCpSIiKjvdunUTOgJ9BXuiExEREREVk6mpKZYtWwYAmD9/PoKDg7Fjxw4oKytjz549cHV1Rf369eHt7S1wUiKi8mPUqFFYuHAhXr9+DTk5OeTm5uLq1auYN28e7OzshI5HRFQmrly5gnHjxqFTp054+fIlAMDHxwchISECJyOARXQiIiIiomI7f/48jhw5AgAIDAzEr7/+imHDhkFRURFdu3bFkiVLsHr1ahw8eFDgpERE5cfq1avRtGlT6OjoICUlBaamprC0tESnTp2wZMkSoeMREZW6P/74A71794aqqirCw8Px6dMnAMD79++xevVqgdMRwIVFiYiIiIiKrWvXrpg6dSrGjx8PdXV1PHz4ELq6umjYsCECAgLQrl07xMXFwdzcHCkpKULHJSIqV54/f4779+8jJSUFLVu2hJGRkdCRiIjKRMuWLeHo6Ag7OzuJBZVv374NW1tbvH79WuiIlR5HohMRERERFVNiYiKuXbsGADA0NERcXBwAoGnTpvDz8wPweYS6lpaWUBGJiMotXV1d9O3bFyNGjGABnYgqtEePHsHS0jLfdk1NTSQnJ0s/EOXDhUWJiIiIiIrpxo0bCA0NBQDY29sjIiIC3bp1g7OzMwYMGIBt27YhKysL7u7uAiclIpJtTk5O33wsf6YSUUVTt25dxMTEQF9fX2J7SEgIDA0NhQlFElhEJyIiIiIqJk1NTdja2gIAHB0dxdutra0RGRmJ8PBwNG7cGBYWFkJFJCIqF27fvv1Nx8nJyZVxEiIi6ZsyZQpmz54NT09PyMnJ4Z9//sG1a9cwb948LF26VOh4BPZEJyIiIiIiIiIiIhKMSCTC6tWrsWbNGqSlpQEAlJWVMW/ePKxYsULgdASwiE5EREREVCLXrl3Du3fv0L9/f/E2b29vLF++HKmpqRg8eDC2bt0KZWVlAVMSEZVP8fHxAAAdHR2BkxARlb3MzEzExMQgJSUFpqamUFdXR3p6OlRVVYWOVulxYVEiIiIiohJwc3PDgwcPxK/v3buHyZMnw9raGs7OzggMDMSaNWsETEhEVL5kZ2dj6dKl0NTUhL6+PvT19aGpqYklS5YgKytL6HhERGVGSUkJpqamaNeuHapUqQJ3d3cYGBgIHYvAIjoRERERUYncuXMHVlZW4te+vr5o3749du/eDScnJ3h4eMDPz0/AhERE5YuDgwN+++03rF+/Hrdv38bt27exfv167N27F7NmzRI6HhFRqfn06RMWLVqENm3aoFOnTjh27BgAYN++fTAwMMCmTZsk1t0h4bCdCxERERFRCaioqCA6OlrcaqBLly6wtbXF4sWLAQBPnz6Fubk5Pn78KGRMIqJyQ1NTE76+vuKFm/OcOnUKo0ePxvv37wVKRkRUuhYuXIhdu3bB2toaoaGhSExMhL29Pa5fv46ff/4Zw4cPh4KCgtAxCRyJTkRERERUInXq1EFcXByAz30sw8PD0aFDB/H+jx8/okqVKkLFIyIqd5SVlaGvr59vu4GBAZSUlKQfiIiojPz+++/w9vaGv78/zp49i5ycHGRnZyMiIgKjRo1iAV2GsIhORERERFQCffv2hbOzM65cuYJFixahatWq6Nq1q3j/3bt30ahRIwETEhGVLzNnzsSKFSvw6dMn8bZPnz5h1apVmDlzpoDJiIhK14sXL9C6dWsAgJmZGZSVleHo6Ag5OTmBk9F/KQodgIiIiIioPFuxYgWGDh2Kbt26QV1dHV5eXhIjJT09PdGrVy8BExIRlS+3b9/G+fPn0bBhQzRv3hwAEBERgczMTFhZWWHo0KHiYwMCAoSKSURUYjk5ORL3jYqKilBXVxcwERWGPdGJiIiIiErB+/fvoa6unm/abVJSEtTV1dmCgIjoG9nb23/zsfv27SvDJEREZUteXh62trZQVlYGAAQGBqJnz55QU1OTOI4PDIXHIjoRERERERERERGRlH3rQ0M+MBQei+hEREREREREJHMSExPx6NEjAECTJk1Qq1YtgRMREVFlxYVFiYiIiIiIiEhmpKamYtKkSahXrx4sLS1haWmJ+vXrY/LkyUhLSxM6HhERVUIsohMRERERERGRzHBycsKlS5cQGBiI5ORkJCcn4/jx47h06RLmzp0rdDwiIqqE2M6FiIiIiIiIiGRGzZo14e/vj+7du0tsv3DhAkaMGIHExERhghERUaXFkehEREREREREJDPS0tJQp06dfNtr167Ndi5ERCQIjkQnIiIiIiIiIplhZWWFGjVqwNvbGyoqKgCA9PR0TJgwAUlJSQgKChI4IRERVTYsohMRERERERGRzLh//z569+6NT58+oXnz5gCAiIgIqKio4MyZM2jWrJnACYmIqLJhEZ2IiIiIiIiIZEpaWhoOHjyIqKgoAICJiQnGjh0LVVVVgZMREVFlxCI6EREREREREREREVEhuLAoEREREREREckUHx8fdOnSBfXr18ezZ88AAJs2bcLx48cFTkZERJURi+hEREREREREJDN27NgBJycn2Nra4t9//0VOTg4AQFtbG5s3bxY2HBERVUosohMRERERERGRzNi6dSt2796NxYsXQ1FRUby9TZs2uHfvnoDJiIiosmIRnYiIiIiIiIhkRlxcHFq2bJlvu7KyMlJTUwVIRERElR2L6EREREREREQkMwwMDHDnzp1820+fPg0TExPpByIiokpP8euHEBERERERERFJh5OTE3766SdkZGRAJBLh77//xuHDh7FmzRrs2bNH6HhERFQJyYlEIpHQIYiIiIiIiIiI8hw8eBAuLi548uQJAKB+/fpwdXXF5MmTBU5GRESVEYvoRERERERERCQzPn36hOzsbKipqSEtLQ0pKSmoXbu20LGIiKgSY090IiIiIiIiIhJcYmIibG1toa6uDg0NDXTo0AGvXr1iAZ2IiATHkehEREREREREJLhJkybhr7/+wqxZs6CiooJdu3ahXr16uHDhgtDRiIiokmMRnYiIiIiIiIgEp6Ojgz179qB3794AgOjoaJiYmCA1NRXKysoCpyMiosqMRXQiIiIiIiIiEpyCggJevnyJunXrirepqanhwYMH0NfXFy4YERFVeuyJTkREREREREQyQUFBId9rjv0jIiKhcSQ6EREREREREQlOXl4empqakJOTE29LTk6GhoYG5OX/bwxgUlKSEPGIiKgSUxQ6ABERERERERHRvn37hI5ARERUII5EJyIiIiIiIiIiIiIqBHuiExEREREREREREREVgkV0IiIiIiIiIiIiIqJCsIhORERERERERERERFQIFtGJiIiIiIiIiIiIiArBIjoRERERERERySSRSASRSCR0DCIiquRYRCciIiIiIiIimeLt7Q1zc3OoqqpCVVUVFhYW8PHxEToWERFVUopCByAiIiIiIiIiyuPu7o6lS5di5syZ6Ny5MwAgJCQE06dPx9u3b+Ho6ChwQiIiqmzkRJwXRUREREREREQywsDAAK6urrCzs5PY7uXlBRcXF8TFxQmUjIiIKiu2cyEiIiIiIiIimfHq1St06tQp3/ZOnTrh1atXAiQiIqLKjkV0IiIiIiIiIpIZjRs3hp+fX77tR44cgZGRkQCJiIiosmNPdCIiIiIiIiKSGa6urhg5ciQuX74s7ol+9epVnD9/vsDiOhERUVljT3QiIiIiIiIikilhYWHYtGkTIiMjAQAmJiaYO3cuWrZsKXAyIiKqjFhEJyIiIiIiIiIiIiIqBNu5EBEREREREZFMysjIQGZmpsQ2DQ0NgdIQEVFlxYVFiYiIiIiIiEhmpKWlYebMmahduzbU1NSgra0t8YeIiEjaWEQnIiIiIiIiIpkxf/58BAcHY8eOHVBWVsaePXvg6uqK+vXrw9vbW+h4RERUCbEnOhERERERERHJDF1dXXh7e6N79+7Q0NBAeHg4GjduDB8fHxw+fBinTp0SOiIREVUyHIlORERERERERDIjKSkJhoaGAD73P09KSgIAdOnSBZcvXxYyGhERVVIsohMRERERERGRzDA0NERcXBwAoGnTpvDz8wMABAYGQktLS8BkRERUWbGdCxERERERERHJjE2bNkFBQQGzZs1CUFAQBgwYAJFIhKysLLi7u2P27NlCRyQiokqGRXQiIiIiIiIiklnPnj1DWFgYGjduDAsLC6HjEBFRJcR2LkREREREREQks/T09DB06FBUr14dU6dOFToOERFVQhyJTkREREREREQyLyIiAq1atUJOTo7QUYiIqJLhSHQiIiIiIiIiIiIiokKwiE5EREREREREREREVAgW0YmIiIiIiIiIiIiICqEodAAiIiIiIiIioqFDhxa5Pzk5WTpBiIiI/oNFdCIiIiIiIiISnKam5lf329nZSSkNERHR/5ETiUQioUMQEREREREREREREcki9kQnIiIiIiIiIiIiIioEi+hERERERERERERERIVgEZ2IiIiIiIiIiIiIqBAsohMRERERERERERERFYJFdCIiIiKiSiY3Nxe//PILbt++LXQUIiIiIiKZxyI6EREREVEls2TJEly+fBkWFhZCRyEiIiIiknksohMRERERlTMTJ06EnJwc5OTkoKSkhMaNG8PNzQ3Z2dlfPffYsWO4ePEifH19oaCgIIW0RERERETlG4voRERERETlUJ8+ffDq1StER0dj7ty5cHFxwYYNG7563uDBgxEaGoqqVatKISURERERUfnHIjoRERERUTmkrKyMunXrQk9PDzNmzIC1tTVOnDgBd3d3mJubQ01NDTo6Ovjxxx+RkpIiPm///v3Q0tISv46IiECPHj1QrVo1aGhooHXr1rh165Z4f0hICLp27QpVVVXo6Ohg1qxZSE1NFe//9ddfYWRkBBUVFdSpUwf/+9//pPL1ExERERFJC4voREREREQVgKqqKjIzMyEvLw8PDw88ePAAXl5eCA4OxoIFCwo9b+zYsWjYsCFu3ryJsLAwODs7o0qVKgCAJ0+eoE+fPhg2bBju3r2LI0eOICQkBDNnzgQA3Lp1C7NmzYKbmxsePXqE06dPw9LSUipfLxERERGRtMiJRCKR0CGIiIiIiOjbTZw4EcnJyTh27BhEIhHOnz+P/v37w8HBIV9LF39/f0yfPh1v374F8Hkk+pw5c5CcnAwA0NDQwNatWzFhwoR87/PDDz9AQUEBu3btEm8LCQlBt27dkJqailOnTsHe3h4vXrxAtWrVyu4LJiIiIiISkKLQAYiIiIiI6PudPHkS6urqyMrKQm5uLsaMGQMXFxcEBQVhzZo1iIqKwocPH5CdnY2MjAykpaUV2AfdyckJP/zwA3x8fGBtbY3hw4ejUaNGAD63erl79y4OHjwoPl4kEiE3NxdxcXGwsbGBnp4eDA0N0adPH/Tp0wdDhgxhv3UiIiIiqlDYzoWIiIiIqBzq0aMH7ty5g+joaKSnp8PLywuJiYno378/LCws8McffyAsLAzbt28HAGRmZhZ4HRcXFzx48AD9+vVDcHAwTE1NcfToUQBASkoKpk2bhjt37oj/REREIDo6Go0aNUK1atUQHh6Ow4cPo169eli2bBmaN28uHuVORERERFQRcCQ6EREREVE5pKamhsaNG0tsCwsLQ25uLjZu3Ah5+c/jZfz8/L56LWNjYxgbG8PR0RGjR4/Gvn37MGTIELRq1QoPHz7M9z5fUlRUhLW1NaytrbF8+XJoaWkhODgYQ4cOLdkXSEREREQkIzgSnYiIiIiogmjcuDGysrKwdetWxMbGwsfHBzt37iz0+PT0dMycORMXL17Es2fPcPXqVdy8eRMmJiYAgIULFyI0NBQzZ84Uj3o/fvy4eGHRkydPwsPDA3fu3MGzZ8/g7e2N3NxcNGnSRCpfLxERERGRNLCITkRERERUQTRv3hzu7u5Yt24dzMzMcPDgQaxZs6bQ4xUUFPDu3TvY2dnB2NgYI0aMgK2tLVxdXQEAFhYWuHTpEh4/foyuXbuiZcuWWLZsGerXrw8A0NLSQkBAAHr27AkTExPs3LkThw8fRrNmzaTy9RIRERERSYOcSCQSCR2CiIiIiIiIiIiIiEgWcSQ6EREREREREREREVEhWEQnIiIiIiIiIiIiIioEi+hERERERERERERERIVgEZ2IiIiIiIiIiIiIqBAsohMRERERERERERERFYJFdCIiIiIiIiIiIiKiQrCITkRERERERERERERUCBbRiYiIiIiIiIiIiIgKwSI6EREREREREREREVEhWEQnIiIiIiIiIiIiIioEi+hERERERERERERERIVgEZ2IiIiIiIiIiIiIqBD/D5/nrTN0qa0wAAAAAElFTkSuQmCC",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "mulheres_mercado = df['% Mulheres no Mercado de Trabalho']\n",
+ "homens_mercado = df['% Homens no Mercado de Trabalho']\n",
+ "paises = df['País']\n",
+ "index = range(len(paises))\n",
+ "plt.figure(figsize=(15, 6))\n",
+ "plt.bar(index, mulheres_mercado, label='% Mulheres no Mercado de Trabalho', color='lightcoral')\n",
+ "plt.bar([i + 0.4 for i in index], homens_mercado, label='% Homens no Mercado de Trabalho', color='lightskyblue') # A fórmula no início existe para evitar overlapping entre dados\n",
+ "\n",
+ "plt.xlabel('Países')\n",
+ "plt.ylabel('Percentagem')\n",
+ "plt.title('Comparação de % Mulheres e % Homens no Mercado de Trabalho por País')\n",
+ "plt.xticks([i + 0.2 for i in index], paises, rotation=90)\n",
+ "plt.legend()\n",
+ "plt.grid(True)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Há correlação entre gravidez na adolescência e mortalidade materna? "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "gravidez_adolescencia = df['Taxa de Gravidez na Adolescência']\n",
+ "mortalidade_materna = df['Mortalidade Materna']\n",
+ "\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "plt.scatter(gravidez_adolescencia, mortalidade_materna, c='blue', alpha=0.6)\n",
+ "plt.xlabel('Taxa de Gravidez na Adolescência')\n",
+ "plt.ylabel('Mortalidade Materna (por 100,000 nascimentos)')\n",
+ "plt.title('Relação entre Taxa de Gravidez na Adolescência e Mortalidade Materna')\n",
+ "plt.grid(True) \n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/exercicios/para-casa/index_inequalidade_genero_mundial.db b/exercicios/para-casa/index_inequalidade_genero_mundial.db
new file mode 100644
index 0000000..80e5ac8
Binary files /dev/null and b/exercicios/para-casa/index_inequalidade_genero_mundial.db differ
diff --git a/exercicios/para-casa/raw_data/Gender_Inequality_Index.csv b/exercicios/para-casa/raw_data/Gender_Inequality_Index.csv
new file mode 100644
index 0000000..750d0a2
--- /dev/null
+++ b/exercicios/para-casa/raw_data/Gender_Inequality_Index.csv
@@ -0,0 +1,196 @@
+Country,Human_development,GII,Rank,Maternal_mortality,Adolescent_birth_rate,Seats_parliament,F_secondary_educ,M_secondary_educ,F_Labour_force,M_Labour_force
+Switzerland,Very high,0.018,3,5,2.2,39.8,96.9,97.5,61.7,72.7
+Norway,Very high,0.016,2,2,2.3,45,99.1,99.3,60.3,72
+Iceland,Very high,0.043,8,4,5.4,47.6,99.8,99.7,61.7,70.5
+Hong Kong,Very high,,,,1.6,,77.1,83.4,53.5,65.8
+Australia,Very high,0.073,19,6,8.1,37.9,94.6,94.4,61.1,70.5
+Denmark,Very high,0.013,1,4,1.9,39.7,95.1,95.2,57.7,66.7
+Sweden,Very high,0.023,4,4,3.3,47,91.8,92.2,61.7,68
+Ireland,Very high,0.074,21,5,5.9,27.3,88.1,86,56.5,68.6
+Germany,Very high,0.073,19,7,7.5,34.8,96.1,96.5,56.8,66
+Netherlands,Very high,0.025,5,5,2.8,39.1,89.8,92.7,62.4,71.3
+Finland,Very high,0.033,6,3,4.2,46,99,98.5,56.5,64
+Singapore,Very high,0.04,7,8,2.6,29.8,80.5,85.9,59.4,76.8
+Belgium,Very high,0.048,10,5,5.3,42.9,87.2,89.7,49.8,58.8
+New Zealand,Very high,0.088,25,9,12.6,49.2,82,81.8,65.1,75.3
+Canada,Very high,0.069,17,10,7,34.4,100,100,60.8,69.7
+Liechtenstein,Very high,,,,3,28,,,,
+Luxembourg,Very high,0.044,9,5,4.3,35,100,100,58.5,65.5
+United Kingdom,Very high,0.098,27,7,10.5,31.1,99.8,99.8,58,67.1
+Japan,Very high,0.083,22,5,2.9,14.2,95.9,92.7,53.3,71
+South Korea,Very high,0.067,15,11,2.2,19,83.1,93.1,53.4,72.4
+United States,Very high,0.179,44,19,16,27,96.5,96.4,55.2,66.4
+Israel,Very high,0.083,22,3,7.6,28.3,91.6,93.7,58.5,66.1
+Malta,Very high,0.167,42,6,11.5,13.4,82.2,88.1,53.1,71.4
+Slovenia,Very high,0.071,18,7,4.5,21.5,97.6,98.7,53.8,62.2
+Austria,Very high,0.053,12,5,5.5,39.3,100,100,55.5,66.3
+United Arab Emirates,Very high,0.049,11,3,3.1,50,82,85.6,46.5,88
+Spain,Very high,0.057,14,4,6.3,42.3,78.5,83.2,52.7,62.4
+France,Very high,0.083,22,8,9.5,37.8,83.5,87.9,51.9,59.7
+Cyprus,Very high,0.123,35,6,6.8,14.3,81.1,84.8,56.6,68.8
+Italy,Very high,0.056,13,2,4,35.3,78.6,86.1,39.9,57.6
+Estonia,Very high,0.1,28,9,8.8,25.7,97.6,98.1,57.5,70.2
+Czechia,Very high,0.12,34,3,9.7,22.1,99.8,99.8,51.7,68.1
+Greece,Very high,0.119,32,3,8.5,21.7,69.9,77.8,43.3,58.1
+Poland,Very high,0.109,31,2,9.7,27.5,86.5,90.7,49.2,65.5
+Bahrain,Very high,0.181,46,14,8.7,18.8,79.9,83.1,42.4,83.5
+Lithuania,Very high,0.105,30,8,10.4,27.7,95.5,97.9,57.3,67.9
+Saudi Arabia,Very high,0.247,59,17,11.9,19.9,71.3,80.9,30.9,80.1
+Portugal,Very high,0.067,15,8,7.4,40,59.7,61.9,54,62.2
+Latvia,Very high,0.151,40,19,11.2,29,99.7,99.3,54.5,66.8
+Andorra,Very high,,,,5.9,46.4,70.7,72.4,,
+Croatia,Very high,0.093,26,8,8.6,31.1,97,100,45.9,58.8
+Chile,Very high,0.187,47,13,24.1,32.7,80.3,83.5,44.2,65.5
+Qatar,Very high,0.22,54,9,7.1,4.4,79.8,69.6,57.2,95.5
+San Marino,Very high,,,,3.8,33.3,81.8,84.3,,
+Slovakia,Very high,0.18,45,5,26.3,22.7,98.9,99.2,54.7,66.4
+Hungary,Very high,0.221,55,12,22.1,13.1,97.6,98.8,52.1,67.2
+Argentina,Very high,0.287,69,39,39.1,44.4,71,71.4,50,71.6
+Türkiye,Very high,0.272,65,17,16.9,17.3,56.3,75.9,31.8,69.4
+Montenegro,Very high,0.119,32,6,10.4,24.7,92.3,99.2,47.8,62
+Kuwait,Very high,0.305,74,12,5.6,1.5,60.9,55.2,47.4,83.8
+Brunei Darussalam,Very high,0.259,61,31,10,9.1,70.4,71.2,54.1,72.3
+Russian Federation,Very high,0.203,50,17,15,16.5,92.8,95.9,54.5,69.7
+Romania,Very high,0.282,67,19,36.4,18.5,88.8,93.7,42.8,62.3
+Oman,Very high,0.3,72,19,9.9,9.9,96.6,99.9,28.7,85
+Bahamas,Very high,0.329,78,70,25.7,20,87,89.9,65.6,71.5
+Kazakhstan,Very high,0.161,41,10,21.9,24.5,99.8,100,63.3,75.5
+Trinidad and Tobago,Very high,0.344,81,67,38.1,32.4,84.8,80.6,46.7,68
+Costa Rica,Very high,0.256,60,27,37.1,45.6,56.2,54.5,47.5,71.1
+Uruguay,Very high,0.235,58,17,36.2,26.2,59.6,55.5,54.8,69.3
+Belarus,Very high,0.104,29,2,11.9,34.7,97.5,99,57.3,71.4
+Panama,Very high,0.392,96,52,69.9,22.5,70.2,68.7,50.4,72.6
+Malaysia,Very high,0.228,57,29,9.3,14.9,75,78.4,51.2,77.6
+Georgia,Very high,0.28,66,25,31.7,19.3,97.1,98.3,51,68
+Mauritius,Very high,0.347,82,61,24.6,20,64.4,70.8,43.4,70.4
+Serbia,Very high,0.131,36,12,14.9,39.2,88.6,95.3,46.6,62.3
+Thailand,Very high,0.333,79,37,32.7,13.9,47.6,51.7,59,75
+Albania,High,0.144,39,15,14.5,35.7,95.4,93,50.7,66.2
+Bulgaria,High,0.21,52,10,38.6,23.8,94.9,96.5,49.1,62.6
+Grenada,High,,,25,32.7,32.1,,,,
+Barbados,High,0.268,64,27,42.3,29.4,95.4,86,56.1,63.7
+Antigua and Barbuda,High,,,42,33.1,31.4,,,,
+Seychelles,High,,,53,53.4,22.9,,,,
+Sri Lanka,High,0.383,92,36,15.7,5.4,84,84.2,30.9,68.5
+Bosnia and Herzegovina,High,0.136,38,10,9.9,24.6,82.7,94,32.3,52.4
+Saint Kitts and Nevis,High,,,,38.2,25,,,,
+Iran,High,0.459,115,16,30.2,5.6,71.6,76,14.4,68.1
+Ukraine,High,0.2,49,19,15.6,20.8,96.2,95.8,48.1,63.6
+North Macedonia,High,0.134,37,7,16.4,41.7,61.9,75.1,42.4,63.4
+China,High,0.192,48,29,11,24.9,78.3,85.4,61.6,74.3
+Dominican Republic,High,0.429,106,95,65.6,25.7,77.4,76.9,49.6,75.2
+Moldova,High,0.205,51,19,27.8,39.6,96.1,98,33.9,43.9
+Palau,High,,,,42.5,6.9,96.9,97.3,,
+Cuba,High,0.303,73,36,48.8,53.4,89.5,91.9,40.3,68.5
+Peru,High,0.38,90,88,56.8,40,59.3,69.9,66.1,81.9
+Armenia,High,0.216,53,26,18.5,33.6,96,97.1,42.7,63
+Mexico,High,0.309,75,33,54.4,49.8,65.1,66.7,43.8,75.4
+Brazil,High,0.39,94,60,45.2,14.8,62.4,59.1,49.1,68.2
+Colombia,High,0.424,102,83,59,19.6,58.9,56.5,52.2,78
+Saint Vincent and the Grenadines,High,0.39,94,68,47.9,18.2,44.1,39.6,52.9,74.1
+Maldives,High,0.348,83,53,7.3,4.6,46.4,41.5,34.3,67.5
+Algeria,High,0.499,126,112,11.7,7.5,46,56.9,15.7,64.5
+Azerbaijan,High,0.294,70,26,40.1,18.2,93.6,97.6,60.4,67.3
+Tonga,High,0.631,160,52,19,0,93.5,93.1,37.3,55.3
+Turkmenistan,High,0.177,43,7,21.8,25,93.5,92.2,36.5,55.6
+Ecuador,High,0.362,85,59,63.2,39.4,53,52,53.3,76.5
+Mongolia,High,0.313,76,45,26.7,17.1,79.3,73,51.5,66.6
+Egypt,High,0.443,109,37,44.8,22.9,81.6,76.6,15.4,67.1
+Tunisia,High,0.259,61,43,6.7,26.3,42.9,51.8,25.5,67.2
+Fiji,High,0.318,77,34,26.8,21.6,90.2,87.9,37.7,75.3
+Suriname,High,0.427,105,120,56.1,29.4,69.9,70.7,43.4,65.1
+Uzbekistan,High,0.227,56,29,15.9,28.7,99.9,100,44.9,70.9
+Dominica,High,,,,38.5,34.4,,,,
+Jordan,High,0.471,118,46,25.4,11.8,77.4,84.2,13.5,62.3
+Libya,High,0.259,61,72,6.9,16,70.5,45.1,34.1,61
+Paraguay,High,0.445,111,84,70.3,16.8,52.5,54,59.6,84.2
+Palestine,High,,,27,43.5,,67.9,67.6,16.7,66.3
+Saint Lucia,High,0.381,91,117,36.9,24.1,49.9,43.8,63.2,73.2
+Guyana,High,0.454,114,169,66.6,35.7,69.5,62.2,40.3,64.1
+South Africa,High,0.405,97,119,61.2,46,68.9,87.7,46.2,59.9
+Jamaica,High,0.335,80,80,32.8,31,74.3,66.4,56.1,70
+Samoa,High,0.418,99,43,43.6,7.8,79.1,71.6,30.7,54.2
+Gabon,High,0.541,140,252,91.2,18.7,67.2,84,39.1,57
+Lebanon,High,0.432,108,29,20.3,4.7,54.3,55.6,20.8,64.3
+Indonesia,High,0.444,110,177,33.9,21,51,58.2,53.7,81.7
+Viet Nam,High,0.296,71,43,34.6,30.3,61.3,69.6,69.6,79.4
+Philippines,Medium,0.419,101,121,48.2,28,73.4,69.1,43.8,68.3
+Botswana,Medium,0.468,117,144,49.3,10.8,91.3,91.8,56.3,65.1
+Bolivia,Medium,0.418,99,155,63.8,48.2,60.1,69.7,68.3,83.8
+Kyrgyzstan,Medium,0.37,87,60,34.7,20.5,100,99.8,42.1,71.7
+Venezuela,Medium,0.492,123,125,82.7,22.2,79.8,75.4,34.3,67.8
+Iraq,Medium,0.558,145,79,62.2,28.9,42,52.9,11.1,71.8
+Tajikistan,Medium,0.285,68,17,45.4,23.4,93.5,94.6,30.2,50.5
+Belize,Medium,0.364,86,36,57.1,19.6,54.5,49.8,46.9,76.8
+Morocco,Medium,0.425,104,70,25.9,20.4,30.9,37.1,22,66
+El Salvador,Medium,0.376,88,46,55.9,27.4,42.7,51.4,43.6,72.6
+Nicaragua,Medium,0.424,102,98,85.6,50.5,51.2,49.7,46.8,81.3
+Bhutan,Medium,0.415,98,183,19,16.7,23.6,32.3,51.6,67.4
+Cabo Verde,Medium,0.349,84,58,55.2,38.9,28.8,31.2,46.9,61.7
+Bangladesh,Medium,0.53,131,173,75.5,20.9,50.6,58.5,34.9,78.8
+Tuvalu,Medium,,,,33.1,6.3,60,60.7,,
+Marshall Islands,Medium,,,,58,6.1,91.6,92.5,,
+India,Medium,0.49,122,133,17.2,13.4,41.8,53.8,19.2,70.1
+Ghana,Medium,0.529,130,308,64.2,14.5,58,73.2,64.5,72.2
+Micronesia,Medium,,,88,35.8,7.1,,,,
+Guatemala,Medium,0.481,121,95,64.1,19.4,29.5,35.8,37.4,80.3
+Kiribati,Medium,,,92,40.5,6.7,,,,
+Honduras,Medium,0.431,107,65,72,27.3,35.8,44.8,42.3,78.9
+Sao Tome and Principe,Medium,0.494,124,130,79.4,23.6,39.9,48.4,37.1,69.9
+Namibia,Medium,0.445,111,195,64.9,35.6,41.5,44.1,54.5,62.2
+Lao People's Democratic Republic,Medium,0.478,120,185,73.2,22,37.7,47.7,74.8,78.1
+Timor-Leste,Medium,0.378,89,142,33.9,38.5,33.7,41.8,61,72.2
+Vanuatu,Medium,,,72,64.1,0,,,59.7,78
+Nepal,Medium,0.452,113,186,63.8,33.6,28.8,44.7,78.7,80.8
+Eswatini,Medium,0.54,138,437,69.9,18.4,34,36.2,45.6,53.6
+Equatorial Guinea,Medium,,,301,139.7,20.3,,,49.9,58.5
+Cambodia,Medium,0.461,116,160,45.5,19.8,18.3,31.7,74,85.9
+Zimbabwe,Medium,0.532,134,458,94.3,34.6,61.8,72.4,79.3,88.9
+Angola,Medium,0.537,136,241,138.4,29.5,28.2,51.5,74,79.1
+Myanmar,Medium,0.498,125,250,33,15,38.5,47.8,41,70
+Syrian Arab Republic,Medium,0.477,119,31,38.7,11.2,37.1,43.4,15.7,70.8
+Cameroon,Medium,0.565,148,529,110.4,31.1,36.8,55,70.2,80.7
+Kenya,Medium,0.506,128,342,64.2,23.2,31.1,37.7,71,75.6
+Congo,Medium,0.564,147,378,103.6,13.6,48,52,65.1,67.6
+Zambia,Medium,0.54,138,213,117,15.1,47.1,56.8,69.2,77.8
+Solomon Islands,Medium,,,104,60.3,8,,,83.1,87.4
+Comoros,Medium,,,273,58.2,16.7,,,32.1,54.5
+Papua New Guinea,Medium,0.725,169,145,55.3,0,10.8,15.5,46.3,48.1
+Mauritania,Medium,0.632,161,766,78,20.3,14.5,21.9,27.4,62.2
+Côte d'Ivoire,Medium,0.613,155,617,105,15.6,23.9,32.2,45.9,64.9
+Tanzania,Low,0.56,146,524,123.7,36.9,13,19.1,79.5,87.1
+Pakistan,Low,0.534,135,140,42.3,19.9,22.1,28.7,20.7,78.1
+Togo,Low,0.58,149,396,77.9,18.7,13.9,42.3,55.5,59.4
+Haiti,Low,0.635,163,480,52.5,2.7,27.9,41,60.7,68.9
+Nigeria,Low,0.68,168,917,101.7,4.5,40.4,55.3,47.9,59.6
+Rwanda,Low,0.388,93,248,32.4,55.7,11.4,16.3,82.5,82.2
+Benin,Low,0.602,152,397,92.3,8.4,21.1,34.4,69.3,72.6
+Uganda,Low,0.53,131,375,107.9,33.8,29.3,36.3,64.2,71.3
+Lesotho,Low,0.557,144,544,89.6,22.9,27.2,24.6,56.1,71.3
+Malawi,Low,0.554,142,349,117.9,22.9,21.3,28.4,71.6,80
+Senegal,Low,0.53,131,315,66.5,43,11.1,30.9,33.5,56.7
+Djibouti,Low,,,248,22.7,26.2,,,17.2,44.1
+Sudan,Low,0.553,141,295,79.9,31,16.4,20.1,28.7,67.8
+Madagascar,Low,0.556,143,335,119.4,17.2,27.3,29.8,81.5,87.6
+Gambia,Low,0.611,153,597,63.2,8.6,29.9,43.2,48.9,66.3
+Ethiopia,Low,0.52,129,401,69.2,39.5,9.1,20.1,72.3,84.7
+Eritrea,Low,,,480,64.4,22,,,70.2,83.6
+Guinea-Bissau,Low,0.627,159,667,87.5,13.7,9.8,22.8,63.9,78.4
+Liberia,Low,0.648,164,661,123.4,9.7,20.8,39.2,69.8,79.7
+Congo,Low,0.601,151,473,109,14.3,40.3,69.1,61.2,69.1
+Afghanistan,Low,0.678,167,638,82.6,27.2,6.4,14.9,14.8,66.5
+Sierra Leone,Low,0.633,162,1120,100.9,12.3,34.7,51.5,56.1,55.9
+Guinea,Low,0.621,157,576,114.8,16.7,7.2,19.7,62.1,62.2
+Yemen,Low,0.82,170,164,54.4,0.3,22.4,37.5,6,67.6
+Burkina Faso,Low,0.621,157,320,110.5,6.3,11.3,17.1,57.2,72.7
+Mozambique,Low,0.537,136,289,165.8,42.4,10.8,20.2,77.7,78.9
+Mali,Low,0.613,155,562,150.1,27.3,8,15.5,57.7,79.7
+Burundi,Low,0.505,127,548,53.6,38.9,7.8,13,79,77.4
+Central African Republic,Low,0.672,166,829,160.5,12.9,13.9,31.6,63.3,79.5
+Niger,Low,0.611,153,509,170.5,25.9,9.2,15.2,61.7,84.3
+Chad,Low,0.652,165,1140,138.3,32.3,7.7,24.4,46.9,69.9
+South Sudan,Low,0.587,150,1150,99.2,32.3,26.5,36.4,70.4,73.6
+North Korea,,,,89,2.3,17.6,,,77.2,86.1
+Monaco,,,,,7.2,33.3,,,,
+Nauru,,,,,72.5,10.5,,,,
+Somalia,,,,829,118,24.6,,,20.9,47
diff --git a/exercicios/para-sala/Banco de dados.ipynb b/exercicios/para-sala/Banco de dados.ipynb
deleted file mode 100644
index e8f8484..0000000
--- a/exercicios/para-sala/Banco de dados.ipynb
+++ /dev/null
@@ -1,145 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "id": "3fb51551",
- "metadata": {},
- "source": [
- "## Banco de dados"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "id": "6f065d6e",
- "metadata": {},
- "outputs": [],
- "source": [
- "import csv\n",
- "import sqlite3"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "a7aa9973",
- "metadata": {},
- "outputs": [],
- "source": [
- "file = open(\"youtubers_df.csv\", encoding= 'UTF-8') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "eaaee9c6",
- "metadata": {},
- "outputs": [],
- "source": [
- "conteudo = csv.reader(file)\n",
- "\n",
- "connection = sqlite3.connect(\"banco_influencers.db\")\n",
- "\n",
- "cursor = connection.cursor()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "25d07ce5",
- "metadata": {},
- "outputs": [],
- "source": [
- "\n",
- "cursor.execute('''CREATE TABLE IF NOT EXISTS rank (\n",
- " Rank INT,\n",
- " Username VARCHAR,\n",
- " Categories VARCHAR, \n",
- " Suscribers FLOAT,\n",
- " Country VARCHAR,\n",
- " Visits FLOAR,\n",
- " Likes FLOAT,\n",
- " Comments FLOAT,\n",
- " Links VARCHAR\n",
- " \n",
- ")''')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "8a047292",
- "metadata": {},
- "outputs": [],
- "source": [
- "\n",
- "inserir_conteudo = \"INSERT INTO rank (Rank,Username,Categories,Suscribers,Country,Visits,Likes,Comments,Links)VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?)\"\n",
- "\n",
- "cursor.executemany(inserir_conteudo, conteudo)\n",
- "\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "51ed46b3",
- "metadata": {},
- "outputs": [],
- "source": [
- "selecionar_tudo = \"SELECT * FROM rank\"\n",
- "entradas = cursor.execute(selecionar_tudo).fetchall()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "f30ba732",
- "metadata": {},
- "outputs": [],
- "source": [
- "for entrada in entradas:\n",
- " print(entrada)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "a7dcca72",
- "metadata": {},
- "outputs": [],
- "source": [
- "connection.commit()\n",
- "connection.close()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "676a9111",
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.9.7"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/exercicios/para-sala/Banco_de_dados.ipynb b/exercicios/para-sala/Banco_de_dados.ipynb
new file mode 100644
index 0000000..7d5e058
--- /dev/null
+++ b/exercicios/para-sala/Banco_de_dados.ipynb
@@ -0,0 +1,104 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import sqlite3\n",
+ "import csv\n",
+ "\n",
+ "#CTRL P"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "connection = sqlite3.connect(\"taxa_homicidio.db\")\n",
+ "cursor = connection.cursor()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "cursor.execute('''CREATE TABLE IF NOT EXISTS taxa (\n",
+ " cod INT,\n",
+ " nome TEXT,\n",
+ " periodo INT,\n",
+ " valor REAL\n",
+ ")''')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open(\"taxa_de_homicidios.csv\", encoding='UTF-8') as file:\n",
+ " conteudo = csv.reader(file, delimiter=\";\")\n",
+ " next(conteudo)\n",
+ " inserir_conteudo = \"INSERT INTO taxa (cod, nome, periodo, valor) VALUES (?, ?, ?, ?)\"\n",
+ " for row in conteudo:\n",
+ " cursor.execute(inserir_conteudo, row)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "connection.commit()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "connection.close()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/exercicios/para-sala/taxa-de-homicidios-mulheres.csv b/exercicios/para-sala/taxa-de-homicidios-mulheres.csv
new file mode 100644
index 0000000..f926f69
--- /dev/null
+++ b/exercicios/para-sala/taxa-de-homicidios-mulheres.csv
@@ -0,0 +1,1081 @@
+cod;nome;período;valor
+53;DF;1980;2.16
+14;RR;1980;5.27
+15;PA;1980;1.67
+16;AP;1980;0
+17;TO;1980;0
+21;MA;1980;0.5
+22;PI;1980;0.64
+23;CE;1980;1.14
+24;RN;1980;0.72
+25;PB;1980;2.3
+26;PE;1980;3.78
+27;AL;1980;2.97
+28;SE;1980;2.06
+29;BA;1980;0.88
+31;MG;1980;1.97
+32;ES;1980;3.59
+33;RJ;1980;3.64
+35;SP;1980;2.78
+41;PR;1980;2.3
+42;SC;1980;1.28
+43;RS;1980;1.5
+50;MS;1980;2.71
+51;MT;1980;0.73
+52;GO;1980;3.48
+13;AM;1980;2.97
+12;AC;1980;1.37
+11;RO;1980;5.18
+43;RS;1981;1.56
+11;RO;1981;3.5
+12;AC;1981;0.66
+13;AM;1981;1.91
+14;RR;1981;7.23
+15;PA;1981;2.7
+16;AP;1981;4.36
+17;TO;1981;0
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+16;AP;1988;0
+17;TO;1988;0
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+16;AP;1993;3.25
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+21;MA;1994;0.92
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+32;ES;1994;7.86
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+23;CE;1999;2.5
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+24;RN;1999;1.77
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+16;AP;2000;1.62
+17;TO;2000;2.75
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+25;PB;2000;2.43
+26;PE;2000;7.39
+27;AL;2000;4.34
+28;SE;2000;3.97
+29;BA;2000;1.95
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+32;ES;2000;7.05
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+41;PR;2000;3.32
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+16;AP;2001;4.66
+17;TO;2001;3.88
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+23;CE;2001;2.88
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+26;PE;2001;6.92
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+53;DF;2002;4.36
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+25;PB;2002;2.48
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+21;MA;2002;1.29
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+32;ES;2003;8.42
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+16;AP;2005;5.04
+17;TO;2005;3.28
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+32;ES;2006;10.52
+53;DF;2006;3.88
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+16;AP;2006;4.23
+15;PA;2006;3.91
+14;RR;2006;6.5
+13;AM;2006;3.26
+12;AC;2006;4.35
+11;RO;2006;6.8
+33;RJ;2006;6.15
+35;SP;2006;3.8
+41;PR;2006;4.75
+42;SC;2006;3.04
+43;RS;2006;2.95
+50;MS;2006;4.67
+51;MT;2006;4.95
+23;CE;2006;3.17
+52;GO;2006;4.95
+24;RN;2007;2.63
+11;RO;2007;3.69
+22;PI;2007;2.2
+21;MA;2007;1.93
+17;TO;2007;4.23
+16;AP;2007;3.79
+15;PA;2007;3.95
+14;RR;2007;9.21
+13;AM;2007;3.13
+12;AC;2007;5.08
+53;DF;2007;4.26
+52;GO;2007;4.73
+51;MT;2007;6.59
+50;MS;2007;5.6
+43;RS;2007;3.49
+42;SC;2007;2.28
+41;PR;2007;4.56
+35;SP;2007;2.84
+33;RJ;2007;5.03
+32;ES;2007;10.57
+31;MG;2007;4.07
+29;BA;2007;3.48
+28;SE;2007;3.27
+27;AL;2007;6.8
+26;PE;2007;6.39
+25;PB;2007;3.56
+23;CE;2007;2.95
+17;TO;2008;3.12
+21;MA;2008;2.45
+22;PI;2008;2.37
+23;CE;2008;2.71
+24;RN;2008;3.65
+25;PB;2008;4.46
+26;PE;2008;6.51
+43;RS;2008;3.95
+27;AL;2008;5.13
+28;SE;2008;2.85
+53;DF;2008;4.86
+29;BA;2008;4.38
+42;SC;2008;2.76
+41;PR;2008;5.75
+35;SP;2008;3.14
+33;RJ;2008;4.47
+32;ES;2008;10.67
+52;GO;2008;5.36
+31;MG;2008;3.78
+51;MT;2008;5.86
+50;MS;2008;4.94
+11;RO;2008;5.08
+12;AC;2008;3.58
+13;AM;2008;3.72
+14;RR;2008;7.05
+15;PA;2008;4.55
+16;AP;2008;3.98
+50;MS;2009;5.27
+11;RO;2009;6.57
+12;AC;2009;4.3
+13;AM;2009;3.87
+14;RR;2009;10.95
+15;PA;2009;4.76
+16;AP;2009;3.57
+17;TO;2009;4.53
+21;MA;2009;2.6
+22;PI;2009;1.92
+23;CE;2009;3.16
+24;RN;2009;3.48
+25;PB;2009;4.99
+26;PE;2009;6.57
+27;AL;2009;6.8
+28;SE;2009;3.37
+29;BA;2009;4.77
+31;MG;2009;4
+32;ES;2009;11.99
+33;RJ;2009;4.15
+35;SP;2009;3.08
+41;PR;2009;6.16
+42;SC;2009;2.95
+43;RS;2009;4.04
+51;MT;2009;6.29
+52;GO;2009;5.45
+53;DF;2009;5.64
+21;MA;2010;3.46
+17;TO;2010;4.89
+16;AP;2010;4.62
+15;PA;2010;6
+14;RR;2010;4.87
+13;AM;2010;3.69
+12;AC;2010;4.99
+11;RO;2010;4.72
+53;DF;2010;4.8
+52;GO;2010;5.92
+51;MT;2010;5.26
+50;MS;2010;6.07
+43;RS;2010;4.06
+42;SC;2010;3.44
+41;PR;2010;6.24
+35;SP;2010;3.13
+33;RJ;2010;3.98
+32;ES;2010;9.54
+31;MG;2010;4.04
+29;BA;2010;6.02
+28;SE;2010;3.97
+27;AL;2010;8.32
+26;PE;2010;5.29
+25;PB;2010;6.01
+24;RN;2010;4.29
+23;CE;2010;3.92
+22;PI;2010;2.46
+29;BA;2011;6.13
+17;TO;2011;6.95
+16;AP;2011;5.35
+15;PA;2011;4.77
+14;RR;2011;4.33
+13;AM;2011;4.51
+12;AC;2011;4.64
+11;RO;2011;6.04
+31;MG;2011;4.48
+53;DF;2011;5.66
+52;GO;2011;8.38
+51;MT;2011;5.65
+50;MS;2011;6.15
+43;RS;2011;3.59
+42;SC;2011;2.28
+41;PR;2011;5.18
+35;SP;2011;2.65
+33;RJ;2011;4.27
+32;ES;2011;9.04
+22;PI;2011;1.96
+23;CE;2011;4.25
+24;RN;2011;4.54
+25;PB;2011;7.03
+26;PE;2011;5.55
+27;AL;2011;8.32
+28;SE;2011;5.48
+21;MA;2011;3.84
+21;MA;2012;3.32
+17;TO;2012;6.86
+16;AP;2012;4.68
+15;PA;2012;5.87
+14;RR;2012;7.19
+13;AM;2012;6.45
+12;AC;2012;4.05
+11;RO;2012;6.34
+22;PI;2012;2.8
+23;CE;2012;4.89
+24;RN;2012;3.79
+25;PB;2012;6.85
+26;PE;2012;4.56
+27;AL;2012;7.97
+28;SE;2012;5.6
+29;BA;2012;5.93
+31;MG;2012;4.48
+32;ES;2012;8.71
+33;RJ;2012;4.23
+35;SP;2012;2.89
+41;PR;2012;5.83
+42;SC;2012;3.16
+43;RS;2012;4.37
+50;MS;2012;6
+51;MT;2012;6.41
+52;GO;2012;7.77
+53;DF;2012;5.43
+53;DF;2013;5.42
+31;MG;2013;4.13
+29;BA;2013;5.71
+28;SE;2013;5
+27;AL;2013;8.46
+26;PE;2013;5.37
+25;PB;2013;6.28
+24;RN;2013;5.22
+23;CE;2013;6.16
+22;PI;2013;2.85
+21;MA;2013;3.79
+17;TO;2013;5.52
+16;AP;2013;5.11
+15;PA;2013;5.78
+14;RR;2013;14.87
+13;AM;2013;5.15
+12;AC;2013;7.97
+11;RO;2013;6.38
+32;ES;2013;9.02
+33;RJ;2013;4.46
+35;SP;2013;2.78
+41;PR;2013;5.1
+42;SC;2013;3.06
+43;RS;2013;3.7
+50;MS;2013;5.77
+51;MT;2013;5.75
+52;GO;2013;8.39
+43;RS;2014;4.38
+11;RO;2014;6.78
+12;AC;2014;4.9
+13;AM;2014;4.21
+14;RR;2014;9.69
+15;PA;2014;6.15
+16;AP;2014;5.26
+17;TO;2014;4.77
+21;MA;2014;4.37
+22;PI;2014;3.81
+23;CE;2014;6.27
+24;RN;2014;5.93
+25;PB;2014;5.8
+26;PE;2014;4.97
+27;AL;2014;7.4
+28;SE;2014;6.54
+29;BA;2014;5.17
+31;MG;2014;3.87
+32;ES;2014;7.29
+33;RJ;2014;5.31
+35;SP;2014;2.72
+41;PR;2014;5.07
+42;SC;2014;3.28
+50;MS;2014;6.45
+51;MT;2014;6.92
+52;GO;2014;8.83
+53;DF;2014;4.11
+52;GO;2015;7.64
+11;RO;2015;7.53
+12;AC;2015;4.58
+13;AM;2015;5.95
+14;RR;2015;11.45
+15;PA;2015;6.37
+16;AP;2015;4.63
+17;TO;2015;6.46
+21;MA;2015;4.23
+22;PI;2015;4.03
+23;CE;2015;5.55
+24;RN;2015;5.3
+25;PB;2015;5.46
+26;PE;2015;4.81
+27;AL;2015;5.59
+28;SE;2015;6.12
+29;BA;2015;5.1
+31;MG;2015;3.96
+32;ES;2015;7.25
+33;RJ;2015;4.4
+35;SP;2015;2.46
+41;PR;2015;4.32
+42;SC;2015;2.83
+53;DF;2015;3.91
+43;RS;2015;4.95
+50;MS;2015;4.35
+51;MT;2015;7.25
+26;PE;2016;5.79
+11;RO;2016;6.38
+12;AC;2016;5.46
+13;AM;2016;5.9
+14;RR;2016;9.64
+15;PA;2016;7.09
+16;AP;2016;4.28
+17;TO;2016;5.98
+21;MA;2016;4.51
+22;PI;2016;3
+23;CE;2016;4.73
+24;RN;2016;5.71
+25;PB;2016;5.24
+27;AL;2016;5.91
+28;SE;2016;5.2
+29;BA;2016;5.86
+31;MG;2016;3.56
+32;ES;2016;5.28
+33;RJ;2016;4.84
+35;SP;2016;2.21
+41;PR;2016;4.18
+42;SC;2016;3.08
+43;RS;2016;5.34
+50;MS;2016;5.92
+51;MT;2016;6.3
+52;GO;2016;7.02
+53;DF;2016;4.26
+53;DF;2017;3.02
+11;RO;2017;7.23
+12;AC;2017;7.95
+13;AM;2017;5.76
+14;RR;2017;10.05
+15;PA;2017;7.42
+16;AP;2017;6.65
+17;TO;2017;4.99
+21;MA;2017;3.58
+22;PI;2017;3.11
+23;CE;2017;8.06
+24;RN;2017;8.37
+25;PB;2017;4.28
+26;PE;2017;6.32
+27;AL;2017;6.46
+28;SE;2017;6.61
+29;BA;2017;6.44
+31;MG;2017;3.66
+32;ES;2017;7.58
+33;RJ;2017;4.5
+35;SP;2017;2.14
+41;PR;2017;4.3
+42;SC;2017;3.1
+43;RS;2017;5.22
+50;MS;2017;4.46
+51;MT;2017;5.5
+52;GO;2017;7.44
+43;RS;2018;4.4
+11;RO;2018;4.84
+12;AC;2018;8.06
+13;AM;2018;6.25
+14;RR;2018;18.84
+15;PA;2018;7.62
+16;AP;2018;3.62
+17;TO;2018;6.1
+21;MA;2018;3.42
+22;PI;2018;3.1
+23;CE;2018;10.17
+24;RN;2018;5.72
+25;PB;2018;3.97
+26;PE;2018;4.86
+27;AL;2018;3.88
+28;SE;2018;3.4
+29;BA;2018;5.62
+31;MG;2018;3.27
+32;ES;2018;4.96
+33;RJ;2018;4.24
+35;SP;2018;1.95
+41;PR;2018;3.65
+42;SC;2018;2.55
+50;MS;2018;4.77
+51;MT;2018;5.19
+52;GO;2018;6.31
+53;DF;2018;3.56
+51;MT;2019;4.89
+11;RO;2019;4.9
+12;AC;2019;7.26
+13;AM;2019;5.72
+14;RR;2019;11.24
+15;PA;2019;5.41
+16;AP;2019;4.5
+17;TO;2019;4.61
+21;MA;2019;3.17
+22;PI;2019;2.79
+23;CE;2019;4.7
+24;RN;2019;5.45
+25;PB;2019;3.46
+53;DF;2019;3.51
+26;PE;2019;4.11
+27;AL;2019;5.18
+28;SE;2019;4.46
+29;BA;2019;5.18
+31;MG;2019;2.75
+32;ES;2019;4.75
+33;RJ;2019;2.41
+35;SP;2019;1.72
+41;PR;2019;3.5
+52;GO;2019;4.55
+42;SC;2019;3.16
+43;RS;2019;4.04
+50;MS;2019;4.36
diff --git a/exercicios/para-sala/taxa_homicidio.db b/exercicios/para-sala/taxa_homicidio.db
new file mode 100644
index 0000000..0a11037
Binary files /dev/null and b/exercicios/para-sala/taxa_homicidio.db differ
diff --git a/material/links estras.txt b/material/links extras.txt
similarity index 100%
rename from material/links estras.txt
rename to material/links extras.txt