Version_3_65.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3o3vUrMyQTa9"
   },
   "source": [
    "#                  Trabalho de Desenvolvimento para Análise de Dados  \n",
    "### Desenvolvido por: Ícaro Dias dos Santos\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Este presente trabalho tem por intuito mostrar de forma clara, a analise de dados do enem que compara aspectos dos candidatos sem deficiência e candidatos com baixa Visão, também tem finalidade de destacar principis diferenças tanto na parte da nota tirada em cada prova como também das caracteristicas econimicas e sociais."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Importação de módulos e bibliotecas\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "eDnisIKkxXXE"
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {
    "id": "cbdfb726"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.patches as mpatches\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Neste primeiro tópico tem finalidade de pegar os dados do microdados do INEP; \n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "b62034ba"
   },
   "outputs": [],
   "source": [
    "microdados_pd = pd.read_csv('F:/Trabalho/Project with Woquiton/Antigo/MICRODADOS_ENEM_2019.csv', sep= ';', encoding = \"ISO-8859-1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Zero o meu microdados_pd principal, para que tem memoria."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# microdados_pd = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "p78-FpUwRvMc"
   },
   "outputs": [],
   "source": [
    "# microdados_pd.columns.values;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Selecionando apenas as colunas que me serão uteis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "colunasParaMinhaAnalise_pd =['NU_INSCRICAO',\n",
    "       'NU_IDADE', 'TP_SEXO', 'TP_COR_RACA', 'TP_ESCOLA',\n",
    "       'IN_BAIXA_VISAO', 'IN_CEGUEIRA',\n",
    "       'TP_PRESENCA_CN', 'TP_PRESENCA_CH', 'TP_PRESENCA_LC',\n",
    "       'TP_PRESENCA_MT', 'CO_PROVA_CN', 'CO_PROVA_CH', 'CO_PROVA_LC',\n",
    "       'CO_PROVA_MT', 'NU_NOTA_CN', 'NU_NOTA_CH', 'NU_NOTA_LC',\n",
    "       'NU_NOTA_MT', 'TX_RESPOSTAS_CN', 'TX_RESPOSTAS_CH',\n",
    "       'TX_RESPOSTAS_LC', 'TX_RESPOSTAS_MT', 'TP_LINGUA',\n",
    "       'TX_GABARITO_CN', 'TX_GABARITO_CH', 'TX_GABARITO_LC',\n",
    "       'TX_GABARITO_MT', 'NU_NOTA_REDACAO', \n",
    "        'Q001', 'Q002', 'Q003', 'Q004', 'Q005', 'Q006',\n",
    "       'Q007', 'Q008', 'Q009', 'Q010', 'Q011', 'Q012', 'Q013', 'Q014',\n",
    "       'Q015', 'Q016', 'Q017', 'Q018', 'Q019', 'Q020', 'Q021', 'Q022',\n",
    "       'Q023', 'Q024', 'Q025']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# microdadosFiltrados_pd = microdados_pd.filter(items=colunasParaMinhaAnalise_pd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# microdadosFiltrados_pd = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# microPd = microdadosFiltrados_pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
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       "      <th></th>\n",
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       "      <td>0</td>\n",
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       "      <td>A</td>\n",
       "      <td>A</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
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       "      <td>21.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>190001210202</td>\n",
       "      <td>19.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>190001421549</td>\n",
       "      <td>27.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>190001595658</td>\n",
       "      <td>30.0</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>D</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>190002037437</td>\n",
       "      <td>25.0</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>190001421550</td>\n",
       "      <td>21.0</td>\n",
       "      <td>M</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>D</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>E</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>190001595659</td>\n",
       "      <td>21.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>C</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>E</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>190001421551</td>\n",
       "      <td>27.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>190001237804</td>\n",
       "      <td>27.0</td>\n",
       "      <td>M</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>190001867757</td>\n",
       "      <td>17.0</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>190001184600</td>\n",
       "      <td>19.0</td>\n",
       "      <td>M</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>190001692704</td>\n",
       "      <td>18.0</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>D</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>190001867758</td>\n",
       "      <td>22.0</td>\n",
       "      <td>M</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095240</th>\n",
       "      <td>190005673736</td>\n",
       "      <td>17.0</td>\n",
       "      <td>M</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095241</th>\n",
       "      <td>190005673737</td>\n",
       "      <td>21.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095242</th>\n",
       "      <td>190005563939</td>\n",
       "      <td>32.0</td>\n",
       "      <td>M</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095243</th>\n",
       "      <td>190005429223</td>\n",
       "      <td>33.0</td>\n",
       "      <td>M</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095244</th>\n",
       "      <td>190005601988</td>\n",
       "      <td>44.0</td>\n",
       "      <td>M</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>D</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095245</th>\n",
       "      <td>190005863624</td>\n",
       "      <td>17.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>E</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095246</th>\n",
       "      <td>190005604900</td>\n",
       "      <td>18.0</td>\n",
       "      <td>F</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>E</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095247</th>\n",
       "      <td>190005539808</td>\n",
       "      <td>21.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095248</th>\n",
       "      <td>190005673738</td>\n",
       "      <td>20.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>D</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095249</th>\n",
       "      <td>190005928993</td>\n",
       "      <td>26.0</td>\n",
       "      <td>M</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>D</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095250</th>\n",
       "      <td>190005928994</td>\n",
       "      <td>16.0</td>\n",
       "      <td>M</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>E</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095251</th>\n",
       "      <td>190005941451</td>\n",
       "      <td>32.0</td>\n",
       "      <td>M</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095252</th>\n",
       "      <td>190005429224</td>\n",
       "      <td>22.0</td>\n",
       "      <td>M</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095253</th>\n",
       "      <td>190005863625</td>\n",
       "      <td>20.0</td>\n",
       "      <td>M</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>D</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>C</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095254</th>\n",
       "      <td>190005863626</td>\n",
       "      <td>18.0</td>\n",
       "      <td>M</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095255</th>\n",
       "      <td>190006048072</td>\n",
       "      <td>17.0</td>\n",
       "      <td>M</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095256</th>\n",
       "      <td>190005766807</td>\n",
       "      <td>29.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095257</th>\n",
       "      <td>190005806801</td>\n",
       "      <td>20.0</td>\n",
       "      <td>M</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095258</th>\n",
       "      <td>190006074436</td>\n",
       "      <td>44.0</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>E</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095259</th>\n",
       "      <td>190005679853</td>\n",
       "      <td>37.0</td>\n",
       "      <td>F</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095260</th>\n",
       "      <td>190005863627</td>\n",
       "      <td>17.0</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095261</th>\n",
       "      <td>190005947163</td>\n",
       "      <td>24.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095262</th>\n",
       "      <td>190006053558</td>\n",
       "      <td>26.0</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095263</th>\n",
       "      <td>190005771624</td>\n",
       "      <td>33.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095264</th>\n",
       "      <td>190005865726</td>\n",
       "      <td>17.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>D</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095265</th>\n",
       "      <td>190006074437</td>\n",
       "      <td>41.0</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095266</th>\n",
       "      <td>190005429225</td>\n",
       "      <td>20.0</td>\n",
       "      <td>M</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>E</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095267</th>\n",
       "      <td>190006087652</td>\n",
       "      <td>21.0</td>\n",
       "      <td>M</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095268</th>\n",
       "      <td>190006087653</td>\n",
       "      <td>22.0</td>\n",
       "      <td>M</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095269</th>\n",
       "      <td>190006087654</td>\n",
       "      <td>21.0</td>\n",
       "      <td>F</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5095270 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         NU_INSCRICAO  NU_IDADE TP_SEXO  TP_COR_RACA  TP_ESCOLA  \\\n",
       "0        190001595656      36.0       M            3          1   \n",
       "1        190001421546      23.0       M            1          1   \n",
       "2        190001133210      39.0       F            3          1   \n",
       "3        190001199383      25.0       F            1          1   \n",
       "4        190001237802      22.0       F            1          1   \n",
       "5        190001782198      37.0       M            2          1   \n",
       "6        190001421548      22.0       F            3          1   \n",
       "7        190001595657      20.0       M            3          1   \n",
       "8        190001592264      20.0       F            1          1   \n",
       "9        190001592266      17.0       M            1          2   \n",
       "10       190001592265      21.0       F            1          1   \n",
       "11       190001475147      19.0       M            4          1   \n",
       "12       190001867756      23.0       F            1          1   \n",
       "13       190001133211      21.0       F            1          1   \n",
       "14       190001237803      30.0       F            2          2   \n",
       "15       190001493186      19.0       M            2          1   \n",
       "16       190001421547      19.0       M            3          1   \n",
       "17       190001493187      21.0       F            3          1   \n",
       "18       190001210202      19.0       F            3          1   \n",
       "19       190001421549      27.0       F            3          1   \n",
       "20       190001595658      30.0       F            1          1   \n",
       "21       190002037437      25.0       F            1          1   \n",
       "22       190001421550      21.0       M            3          1   \n",
       "23       190001595659      21.0       F            3          1   \n",
       "24       190001421551      27.0       F            3          1   \n",
       "25       190001237804      27.0       M            3          1   \n",
       "26       190001867757      17.0       F            1          3   \n",
       "27       190001184600      19.0       M            3          1   \n",
       "28       190001692704      18.0       F            1          2   \n",
       "29       190001867758      22.0       M            1          1   \n",
       "...               ...       ...     ...          ...        ...   \n",
       "5095240  190005673736      17.0       M            3          2   \n",
       "5095241  190005673737      21.0       F            3          1   \n",
       "5095242  190005563939      32.0       M            3          1   \n",
       "5095243  190005429223      33.0       M            3          1   \n",
       "5095244  190005601988      44.0       M            1          1   \n",
       "5095245  190005863624      17.0       F            3          2   \n",
       "5095246  190005604900      18.0       F            4          1   \n",
       "5095247  190005539808      21.0       F            3          1   \n",
       "5095248  190005673738      20.0       F            3          1   \n",
       "5095249  190005928993      26.0       M            3          2   \n",
       "5095250  190005928994      16.0       M            3          1   \n",
       "5095251  190005941451      32.0       M            1          2   \n",
       "5095252  190005429224      22.0       M            4          1   \n",
       "5095253  190005863625      20.0       M            1          1   \n",
       "5095254  190005863626      18.0       M            1          1   \n",
       "5095255  190006048072      17.0       M            2          1   \n",
       "5095256  190005766807      29.0       F            3          1   \n",
       "5095257  190005806801      20.0       M            1          1   \n",
       "5095258  190006074436      44.0       F            1          1   \n",
       "5095259  190005679853      37.0       F            4          1   \n",
       "5095260  190005863627      17.0       F            1          2   \n",
       "5095261  190005947163      24.0       F            3          1   \n",
       "5095262  190006053558      26.0       F            1          1   \n",
       "5095263  190005771624      33.0       F            3          1   \n",
       "5095264  190005865726      17.0       F            3          2   \n",
       "5095265  190006074437      41.0       F            3          1   \n",
       "5095266  190005429225      20.0       M            3          1   \n",
       "5095267  190006087652      21.0       M            0          1   \n",
       "5095268  190006087653      22.0       M            0          1   \n",
       "5095269  190006087654      21.0       F            0          1   \n",
       "\n",
       "         IN_BAIXA_VISAO  IN_CEGUEIRA  TP_PRESENCA_CN  TP_PRESENCA_CH  \\\n",
       "0                     0            0               0               0   \n",
       "1                     0            0               0               0   \n",
       "2                     0            0               0               0   \n",
       "3                     0            0               1               1   \n",
       "4                     0            0               1               1   \n",
       "5                     0            0               1               1   \n",
       "6                     0            0               1               1   \n",
       "7                     0            0               0               0   \n",
       "8                     0            0               0               0   \n",
       "9                     0            0               1               1   \n",
       "10                    0            0               0               0   \n",
       "11                    0            0               1               1   \n",
       "12                    0            0               1               1   \n",
       "13                    0            0               1               1   \n",
       "14                    0            0               0               0   \n",
       "15                    0            0               0               0   \n",
       "16                    0            0               1               1   \n",
       "17                    0            0               0               0   \n",
       "18                    0            0               1               1   \n",
       "19                    0            0               1               1   \n",
       "20                    0            0               0               0   \n",
       "21                    0            0               1               1   \n",
       "22                    0            0               1               1   \n",
       "23                    0            0               0               0   \n",
       "24                    0            0               0               0   \n",
       "25                    0            0               1               1   \n",
       "26                    0            0               1               1   \n",
       "27                    0            0               1               1   \n",
       "28                    0            0               1               1   \n",
       "29                    0            0               0               0   \n",
       "...                 ...          ...             ...             ...   \n",
       "5095240               0            0               0               0   \n",
       "5095241               0            0               1               1   \n",
       "5095242               0            0               0               0   \n",
       "5095243               0            0               0               0   \n",
       "5095244               0            0               0               0   \n",
       "5095245               0            0               1               1   \n",
       "5095246               0            0               0               0   \n",
       "5095247               0            0               1               1   \n",
       "5095248               0            0               0               1   \n",
       "5095249               0            0               1               1   \n",
       "5095250               0            0               1               1   \n",
       "5095251               0            0               0               0   \n",
       "5095252               0            0               0               0   \n",
       "5095253               0            0               1               1   \n",
       "5095254               0            0               1               1   \n",
       "5095255               0            0               0               0   \n",
       "5095256               0            0               1               1   \n",
       "5095257               0            0               1               1   \n",
       "5095258               0            0               0               0   \n",
       "5095259               0            0               1               1   \n",
       "5095260               0            0               1               1   \n",
       "5095261               0            0               0               0   \n",
       "5095262               0            0               0               0   \n",
       "5095263               0            0               1               1   \n",
       "5095264               0            0               1               1   \n",
       "5095265               0            0               0               0   \n",
       "5095266               0            0               0               1   \n",
       "5095267               0            0               0               0   \n",
       "5095268               0            0               0               0   \n",
       "5095269               0            0               0               0   \n",
       "\n",
       "         TP_PRESENCA_LC ...   Q016  Q017  Q018  Q019  Q020  Q021  Q022  Q023  \\\n",
       "0                     0 ...      A     A     A     A     A     A     C     A   \n",
       "1                     0 ...      A     A     A     B     A     A     E     A   \n",
       "2                     0 ...      A     A     A     B     A     A     C     A   \n",
       "3                     1 ...      A     A     A     C     A     B     D     A   \n",
       "4                     1 ...      B     A     A     B     A     A     C     B   \n",
       "5                     1 ...      B     A     A     B     A     A     E     A   \n",
       "6                     1 ...      A     A     A     B     A     A     B     A   \n",
       "7                     0 ...      B     A     A     B     A     A     C     A   \n",
       "8                     0 ...      B     A     A     B     A     A     B     B   \n",
       "9                     1 ...      B     A     A     B     A     B     C     B   \n",
       "10                    0 ...      B     A     B     C     A     B     C     A   \n",
       "11                    1 ...      B     A     A     B     B     A     D     A   \n",
       "12                    1 ...      A     A     A     B     A     A     B     A   \n",
       "13                    1 ...      A     A     A     B     A     A     C     A   \n",
       "14                    0 ...      A     A     A     B     A     A     B     A   \n",
       "15                    0 ...      B     A     A     B     A     A     C     B   \n",
       "16                    1 ...      A     A     A     B     A     A     B     A   \n",
       "17                    0 ...      B     A     A     B     A     A     C     A   \n",
       "18                    1 ...      A     A     A     B     A     A     B     A   \n",
       "19                    1 ...      A     A     A     B     A     A     C     B   \n",
       "20                    0 ...      B     A     A     D     B     B     C     A   \n",
       "21                    1 ...      A     A     A     B     A     A     B     A   \n",
       "22                    1 ...      B     A     B     D     B     A     E     A   \n",
       "23                    0 ...      B     A     B     C     B     A     E     A   \n",
       "24                    0 ...      B     A     A     B     B     A     C     A   \n",
       "25                    1 ...      A     A     A     B     A     B     C     A   \n",
       "26                    1 ...      B     A     B     B     B     A     C     B   \n",
       "27                    1 ...      A     A     A     B     A     A     B     A   \n",
       "28                    1 ...      A     A     A     B     B     A     D     A   \n",
       "29                    0 ...      B     A     A     B     A     A     C     A   \n",
       "...                 ... ...    ...   ...   ...   ...   ...   ...   ...   ...   \n",
       "5095240               0 ...      B     A     B     B     B     A     A     A   \n",
       "5095241               1 ...      A     A     A     B     A     A     C     A   \n",
       "5095242               0 ...      A     A     A     B     A     A     C     A   \n",
       "5095243               0 ...      A     A     A     B     A     A     B     A   \n",
       "5095244               0 ...      B     B     B     C     A     B     D     A   \n",
       "5095245               1 ...      B     A     A     B     A     B     E     B   \n",
       "5095246               0 ...      B     A     A     C     A     A     E     A   \n",
       "5095247               1 ...      A     A     A     B     A     A     B     A   \n",
       "5095248               1 ...      A     A     A     B     A     A     D     A   \n",
       "5095249               1 ...      B     A     A     B     B     A     D     A   \n",
       "5095250               1 ...      B     A     B     C     A     B     E     B   \n",
       "5095251               0 ...      A     A     A     B     A     A     B     A   \n",
       "5095252               0 ...      A     A     A     B     A     A     C     A   \n",
       "5095253               1 ...      B     A     B     D     A     B     B     B   \n",
       "5095254               1 ...      B     B     A     B     A     A     B     A   \n",
       "5095255               0 ...      B     A     A     B     B     A     B     B   \n",
       "5095256               1 ...      A     A     A     B     A     A     B     A   \n",
       "5095257               1 ...      A     A     A     B     A     A     B     B   \n",
       "5095258               0 ...      B     A     B     B     A     B     E     A   \n",
       "5095259               1 ...      A     A     A     B     A     A     C     A   \n",
       "5095260               1 ...      A     A     A     B     A     A     B     A   \n",
       "5095261               0 ...      A     A     A     B     A     A     B     A   \n",
       "5095262               0 ...      B     A     B     B     A     A     C     A   \n",
       "5095263               1 ...      A     A     A     B     B     A     C     A   \n",
       "5095264               1 ...      B     A     A     C     B     A     D     A   \n",
       "5095265               0 ...      B     A     A     B     A     A     B     B   \n",
       "5095266               1 ...      A     A     A     B     B     A     E     A   \n",
       "5095267               0 ...      A     A     A     B     A     A     C     B   \n",
       "5095268               0 ...      B     A     A     C     B     B     A     A   \n",
       "5095269               0 ...      A     A     A     B     A     A     B     B   \n",
       "\n",
       "         Q024 Q025  \n",
       "0           C    B  \n",
       "1           A    B  \n",
       "2           A    B  \n",
       "3           B    B  \n",
       "4           B    B  \n",
       "5           B    B  \n",
       "6           A    A  \n",
       "7           A    B  \n",
       "8           A    A  \n",
       "9           B    B  \n",
       "10          A    B  \n",
       "11          B    B  \n",
       "12          A    A  \n",
       "13          A    A  \n",
       "14          A    A  \n",
       "15          A    B  \n",
       "16          A    A  \n",
       "17          A    B  \n",
       "18          A    A  \n",
       "19          B    B  \n",
       "20          B    B  \n",
       "21          A    A  \n",
       "22          B    B  \n",
       "23          A    B  \n",
       "24          A    B  \n",
       "25          A    A  \n",
       "26          B    B  \n",
       "27          A    A  \n",
       "28          B    A  \n",
       "29          B    B  \n",
       "...       ...  ...  \n",
       "5095240     B    B  \n",
       "5095241     A    B  \n",
       "5095242     A    B  \n",
       "5095243     A    A  \n",
       "5095244     B    B  \n",
       "5095245     A    B  \n",
       "5095246     A    B  \n",
       "5095247     A    A  \n",
       "5095248     A    B  \n",
       "5095249     C    B  \n",
       "5095250     B    B  \n",
       "5095251     A    B  \n",
       "5095252     A    A  \n",
       "5095253     C    B  \n",
       "5095254     A    A  \n",
       "5095255     A    B  \n",
       "5095256     A    A  \n",
       "5095257     B    B  \n",
       "5095258     B    B  \n",
       "5095259     A    A  \n",
       "5095260     A    A  \n",
       "5095261     A    A  \n",
       "5095262     B    B  \n",
       "5095263     B    A  \n",
       "5095264     B    B  \n",
       "5095265     A    B  \n",
       "5095266     A    B  \n",
       "5095267     B    B  \n",
       "5095268     A    B  \n",
       "5095269     B    B  \n",
       "\n",
       "[5095270 rows x 54 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "microPd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XjXP8DA9uJl6"
   },
   "source": [
    "#                  Filtrando Dados \n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# colunasSociais = ['NU_IDADE', 'TP_SEXO', 'Q024', 'Q025', 'IN_BAIXA_VISAO', 'IN_CEGUEIRA', 'TP_COR_RACA']\n",
    "# colunasProva = ['NU_NOTA_CN', 'NU_NOTA_CH', 'NU_NOTA_LC', 'NU_NOTA_MT']\n",
    "# notasProvas = microPd.filter(items =colunasProva)\n",
    "# QSociais = microPd.filter(items =colunasSociais)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Removendo colunas com valor NaN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# internetNota = interNota.dropna()\n",
    "# baixavisaoNota = visaoNota.dropna()\n",
    "# internetVisao = interVisao.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# colunasSelecionadas = ['NU_NOTA_CN','Q025']\n",
    "# interNota = microdados.filter(items =colunasSelecionadas)\n",
    "# colunasSelecionadas1 = ['IN_BAIXA_VISAO','Q025']\n",
    "# interVisao = microdados.filter(items =colunasSelecionadas1)\n",
    "# colunasSelecionadas2 = ['NU_NOTA_CN','IN_BAIXA_VISAO']\n",
    "# visaoNota = microdados.filter(items =colunasSelecionadas2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Candidatos Normais"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Filtrando Dados dos Candidadtos de baixa Visão:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "dadosNormais = microPd[microPd.IN_BAIXA_VISAO==0]\n",
    "dadosN = dadosNormais\n",
    "\n",
    "notaN_Cn = dadosN[\"NU_NOTA_CN\"]\n",
    "notaN_Ch = dadosN['NU_NOTA_CH']\n",
    "notaN_Lc = dadosN['NU_NOTA_LC']\n",
    "notaN_Mt = dadosN['NU_NOTA_MT']\n",
    "\n",
    "\n",
    "baixavisaoN = dadosN['IN_BAIXA_VISAO']\n",
    "\n",
    "\n",
    "pessoaN = dadosN[\"Q005\"]\n",
    "rendaN = dadosN[\"Q006\"]\n",
    "quartoN = dadosN[\"Q009\"]\n",
    "geladeiraN = dadosN[\"Q012\"]\n",
    "celularN = dadosN[\"Q022\"]\n",
    "computadorN = dadosN[\"Q024\"]\n",
    "internetN = dadosN[\"Q025\"]\n",
    "idadeAlunoN = dadosN[\"NU_IDADE\"]\n",
    "sexoAlunoN = dadosN[\"TP_SEXO\"]\n",
    "corN = dadosN[\"TP_COR_RACA\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Candidatos de Baixa Visão"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Filtrando Dados dos Candidadtos de baixa Visão:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "dados = microPd[microPd.IN_BAIXA_VISAO==1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "93lV6ktOu3ed"
   },
   "outputs": [],
   "source": [
    "notaCn = dados[\"NU_NOTA_CN\"]\n",
    "notaCh = dados['NU_NOTA_CH']\n",
    "notaLc = dados['NU_NOTA_LC']\n",
    "notaMt = dados['NU_NOTA_MT']\n",
    "\n",
    "\n",
    "baixavisao = dados['IN_BAIXA_VISAO']\n",
    "\n",
    "\n",
    "pessoa = dados[\"Q005\"]\n",
    "renda = dados[\"Q006\"]\n",
    "quarto = dados[\"Q009\"]\n",
    "geladeira = dados[\"Q012\"]\n",
    "celular = dados[\"Q022\"]\n",
    "computador = dados[\"Q024\"]\n",
    "internet = dados[\"Q025\"]\n",
    "idadeAluno = dados[\"NU_IDADE\"]\n",
    "sexoAluno = dados[\"TP_SEXO\"]\n",
    "cor = dados[\"TP_COR_RACA\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "wPa6JpEpuKEo"
   },
   "source": [
    "#                  Resultado das Analises\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fazendo comparações entre notas entre candidatos com baixa visão e visão normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "notaCns = notaCn.dropna()\n",
    "idade = idadeAluno.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "iN = idadeAlunoN\n",
    "\n",
    "i = idadeAluno"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Gráfico com comparação de notas na máteria de ciência da natureza, entre candidatos com baixa vi~sao e visão normal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "y1 = notaN_Cn\n",
    "\n",
    "y = notaCn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Ciências da Naturaza, Baixa Visão VS Visão Normal')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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EEEIIIYSQFOFAmxBCCCGEEEIISREOtAkhhBBCCCGEkBThQJsQQgghhBBCCEmRju6jTch0ZXhvAZsfeBoHiyUsHsxj3UVnYPWyoW6HRQghhBBCCOkCHGgT0iLDewu4/r4nUCpXAACFYgnX3/cEAHCwTQghhBBCyAyE0nFCWmTzA0/XB9k+pXIFmx94uksREUIIIYQQQroJZ7QJaZGDxVKs42lCyTohhBBCCCG9B2e0CWmRxYP5WMfTwpesF4olKExK1of3FtqaLyGEEEIIIcQOB9qEtMi6i85APpdtOJbPZbHuojPami8l64QQQgghhPQmlI4T0iK+VLvTEu5uStYJIYQQQgghZjjQJiQFVi8b6vja6MWDeRQ0g+p2S9YJIYQQQgghdigdJ2SK0i3JOiGEEEIIIcQOZ7QJmaJ0S7JOCCGEEEIIscOBNiFTmG5I1gkhhBBCCCF2KB0nhBBCCCGEEEJShDPahBBCSI3hvQUuxyCEEEJIy3CgTQghhMAbZF9/3xP1/ekLxRKuv+8JAOBgmxBCCCGxoHScEEIIgWcs6A+yfUrlCjY/8HSXIiKEEELIVIUDbUIIIQTAQc2+9LbjhBBCCCEmONAmhBBCACwezMc6TgghhBBiggNtQgghBMC6i85APpdtOJbPZbHuojO6FBEhhBBCpio0QyMzHroME0KAScMzvg8IIYQQ0iocaJMZDV2GCSFBVi8b4rNPCCGEkJahdJzMaOgyTAghhBBCCEkbzmiTGQ1dhkk74HIEQgghhJCZDWe0yYyGLsMkbfzlCIViCQqTyxGG9xa6HRohhBBCCOkQHGiTGQ1dhknacDkCIYQQQgihdJzMaOgyTNKGyxF6F0r6CSGEENIpONAmMx66DJM0WTyYR0EzqOZyhO7CHQYIIYQQ0kkoHSeEkBThcoTehJJ+QgghhHQSzmgTQkiKcDlCb0JJPyGEEEI6CQfaU5BeW2fYa/HEoRdj78WYSDy4HKH3oKSfEEIIIZ2E0vEpRq9tHdRr8cShF2PvxZgImQ5Q0k8IIYSQTsKB9hSj19YZ9lo8cejF2HsxJkKmA6uXDeHmS5ZiaDAPATA0mMfNlyyl8oAQQgghbYHS8SlGr60z7JV4ksitTTEWiiUM7y0k/gHeivS7V+qTuEGZ/9SCkn5CCCGEdArOaE8xTOsJu7XOsBfiSSq3tsWYVK7dqvS7F+qTuEGZPyGEEEIIMcGB9hSj19YZ9kI8SeXWutjj3J9mLLaYuI60N6HMnxBCCCGEmKB0fIrhsnVQJ+WsaW1l1A25tZ/+tVv2Jbo/zVjCMaXdfmn1CUqlJ4nT1nHqjXVMCCGEEDL14UB7CmJbZ+jLWf2ZNl/O6t/X6XhcaDXmVrbtWb1sCJsfeDq1bX/S2EIo7XWkafWJbvStXsa1rePUG+uYEEIIIWR64CQdF5HrRORJEfk3EblbRGaJyOkisktE/kNEtohIf7uDJdFMRTlrt+XWacq1e1H6nVafmIp9q524tnWcemMdE0IIIYRMDyJntEVkCMA1AH5BKVUSka0AfgfAbwL4pFLqyyLyGQC/B+Bv2xotiaQXnbSjsElwXfJtVW7tX7dp+5MolsoAgFm5ZPYF7ZJ+t0JaTubT3RF9eG8BN97/JEbHvD4wmM9h06ozjW3n2tZx6q0bdUypOiGEEEJI+rhKx/sA5EWkDGA2gBcBXADgitr5LwDYBA60u45JzgogsQS13XJWU8zz8jnnfNOQW5+YqNb/e3SsnLiMvbaFUBpy9jTT6UWG9xaw7p7HUK6o+rFiqYx12x4DYO4DLm0dp946XceUqhNCCCGEtIfIaTulVAHAJwC8AG+A/RKAPQCKSqmJ2mUHAPBXWQ/Qi07aUZgkuCLomIx2Okt205Kz96IsPi02P/B0wyDbp1xVLfeBOPXW6Tqezv2eEEIIIaSbuEjH5wN4O4DTARQBbAPwVs2lzb9SvfvfB+B9AHDKKackDnQ60AmJZjedtF3KZ7tm347bcfX4nVicOYLj+Vfh+pd+G1/FSqd4XOvWdF1akt12tXEr6aYlZ+9FWbwLLnVna2d/2QWQrOyrlw1h9/NHcfeu/agohawILl2unwnX1fH5rzsJmx94Gtdt2dfRZRuEEEIIISQ5LtLxXwPwnFLqEACIyH0A3gRgUET6arPaSwAc1N2slLodwO0AsGLFCu1gfCbQSYlmN5y0XcpnvSb7CFbLZ4GMl8/s0ou4pf8OqHFge7VxsD04O9fwb9e6tV2XhmS3XW2cRrppydl7TRYfhWvd2ZZcAPAk5IL6rHecNhjeW8C9ewqoKO/eilK4d08BK05dYBxsOz0zbVy2MR2WAxBCCCGEdBMXx6cXAJwjIrNFRABcCODfATwE4B21a94N4KvtCXF60GmJZqedtF3KZ73mmzcB5cYf/HmMY33f1qZ4VOhzjWvd2q5Lo77a1caU9ybHte7WXXQGclkxplOuqiZpuWsbtNJ+3Vq2MR2WAxBCCCGEdJPIGW2l1C4RuQfA9wBMANgLb4Z6B4Avi8hHa8f+TzsDnep0WqIZV+Zrk9e6pOVSPus1sw5ozy2WI03HXqo5g/uYZiLD+dnyD5axUCwhK9IwoHGZPUxbfm6bYU2SbtIYsiKoKIUhR9myf++KH/8Tru/fhlfiMGTeEuDCj2C4cm5bpefhfuzaN/wYgq7jLri0QeJ+8fhWbBm7HosHDuOgWoSPT6ypqzsKxRLOvWVny/WY9nIAOpgTQgghhHg4uY4rpTYC2Bg6/CyAX049omlKNySarjJfF3lqVFou5bNeM7AEeGl/07mDaqE1zeG9BQj0BgHhuo2K0S9fUqluO+TnUfm1g3AMvuTZpS78e3+98s+4OXcHZmPcO/HSfkx89Y8xUr4ahfE3OafXStyFYsm5b/gxrF42hHNv2Rn5kcOWju6a2P3i8a3A/ddgSW0pxRI5jFtydwBlbymFYPIDU6v1mNZyADqYE0IIIYRMkmyzYBKbXpZopiFPdSmf9ZoLPwLkGgceY6ofH59YY01z8wNPawdSUssvboyt1EW75Oc6Ou1E7RNVF/696/u2YraMN5zrqxzHtfhyrPTioItbwesLQaLqTteOuYw0Sctd2yBRv9AspZgt3lIK3ceDXlhKwCUOhBBCCCGTuO6jTQKE5ZHnv+4kPPTUIatc0kWiaZJdtluOaZKwFoolnL5hh1OeLuWzX1MbUH/zJlSLB3BQLWyQyvrcfMlSJ8m6QvMsWloS+DDDewvYtP1JFGuS9owAVQUMhRyj5+VzEAGKY+VE7tc+GUGTrD2NvpOGZN0/t1gOa8/rlgK49LNWnMMVvLZwfX5Mzt87Hn+xLisfzOewadWZzq7jQKMsfaAv4hvnS4alFJkj+u0dMOmO3ol3ho40l8dQgk4IIYSQqQ4H2jHRySPvfPSF+nmbXNIm0TTJLnc/fxT37im0VY5pW8uqYuTpIkG1XvP6NcDr1+DNBunu0GC+6V5T7EMGWW4aEvggw3sLWLftMZSrk8OfqgJyWcH5rzupoe2KgbXlSd2v/fSDaZj6SJy+k5Zk3Y//oFqEJZrBtm4pAGDvZ606hw8N5vHIhgsiyxXE5vwNACcmqrHSA4Dj5cl7iqWy/Zmap19KkZm3BEOzzH2kU+8MHWktj6EEnRBCCCHTAUrHY+Ii7U0ilzTJLu/etb/tckydtDVMJyWgcaS2aUvy46a3+YGnGwbZPuWK0rZdEJP7dVRbhNMw9ZE4fSctybof/8cn1mBM9Tecm8jOwq34HWv6cd3idXnHideFNCTRsdPQLKVALg9c+BFrH+nUO0NHWvVPCTohhBBCpgOc0UY8maKrDDKuXNJ0fSW8l1WM9If3FhrkqkG5a7jMbzxlHh59dtSYn2uereLHVSpX6m7X82fncLxcwbVb9uHaLfswf3YOGy8+EwCarg3LtZPKkcPHAWhdnm11YqrLVZkRrO/bisVyGAfHFgGP3wy8fk1D2RuuCTlOu+YTp+/YyuHsOv74Vqz+1k14e/YA/iu7CPdMnIff6Hus7jred+FHsLJyLr5Tq1tTT4vjFh8kiYN2HEl6U5v8eA2G97pJml3dz+u8fnIpBV464M1wX/gR4PVrsLp2ybVb9mlvdWn3NKXZwbTm5XOYlctYl0dE0ekdGgghhBBC2sGMH2jHlSm6SHv96+JgStcf5MRNf3hvAevueaxh799iqYx12x7TSkvbUaa46Nyuc1nBS2NlBIW6o2NlfGDrPmQzUi9fRSnkc9kmuXZSObLrtfPyuQZJeBBd263KjOCW3B11o7Alchi4/xp89z9Hcf13T60PssPXBB2nw4g07y1uQ9eOLcuuay7ZKHtO36/CIVyVfwS4+NOTg0YAqzHZDiZ377hu8UHiOGjHkaQv//E/advkI1/JAPijyMF8HPfzOrWlFDpWLxsyrqePemekKc0Op1UslZHPZfHJd56VeODejR0aCCGEEELSZsZLx+PKFF2kvUnkkibZ5eVnn5xIjrn5gacbBtk+5Wq0pFlHJxzSdW1RrijoVsNWFZrKF0c2G6fdbddK2NI6gK7tdG7cKJdw8vc21/PQXeM7TuvI92Wc5eZtk+BrXLJRLnnHDbjm2W1J+LqLzsCHcvo2uRZfjpQ0x3HGj0PSd0aa0ux2yLx7eYcGQgghhBBXZvyMdlyZosmROMp1PAqbZHnH4y/Wf8ya3I7DMnEbNnm4jjgOy62QhjTUVLZCsYRzb9lZbyvTDH6hWMINw0/go6uXRsYVpQL46OqlWHHqgoZ2Mblx/7SaPB7HsRsAxsruxlxh13af1cuGsPv5o7h7135UlEJWBJcub5x51knIfdnwt0v7kdF9dDC4Z/t5AmiQHYt4kug/3fpYQ143X7JU+2wsu+nBRE7gQPSzH5RE/3CWvu4Xy5F634rrZK9zxo+DTSq/4tQFRml4mtLsdsi8kywBCBJ0z/f7rPPyB0IIIYSQlJjxA+0kMsU48tQ4REmWAb3bsU4mbsMkLTWRxGE5Ca6yfBu2soUd4k341/iD7SRxBV3Pg27TLm7ccR2748Rkc72/d0+hXncVpbDlX/djy3f3N8jzAb2r+cF+fcyYt8Qak9/ndcsGgnndfMnSBgm7bWmEn24Utmc/HM/B6kIsyejbRDD50UUnw47rjB8H07vI9o5KU5rdLpl30nesqR+F+5OfByGEEEJIu5jx0vFelim6yjJNMnEduYxopaU2OuX4q2uLXFacO6lJNpuEu3dNbq0U1wncJtPVuXGPqX58fGJNrGviEtWntbL9qjL2q7BMXxez75Ltgs31PE6fL1eVc1+1Pfuu7bZ5Yk2TLDwcb6+9Y9KMp9fK1q5dIQghhBBC4jLjZ7RblSnGIa7Tr02WGUcq7hOU1oalpactzFtdxwvFEk7fsKM+qMiIt05aJyMOly+OlHNWLtPwQ3nuQB/e9vpX42uPvWg0HfPxZdF+2VqZHa8oheG9hYaZNZPLc5CsCN54yjxs2v6k9vrt1ZVAGTX36iM4qBY2OYq7XGMi7Iy9eWINdv/Ur0f2tSR1Fewr4Zgzg5Mu2UB034+SGvv9z7/XFq9O+h3OM+jw7uPL5VcvG8J1obZrKF/mCA5WF+KO/ivx1RO/bI0BaN87Jli+wZozf6mmnpg/O4e3vf7V9WUSYVf+gb7J5yzo4m+TwOvoxPuzF3aFIIQQQgiJi6iY63VbYcWKFWr37t0dy6+X0MnA87mscc0sYHZlnj87h2MnJpxmsQfzOezb+BuxY4tDPpfFpcuHGty+bcdd7w+e9+vJVCc6d2zTtXHKFWyfVtNrN2G3cgDerHLI+TvM8N6C00cEV8Jt4dL349RtLivWvu9/vDHlCcDY3/1rTB9qgmUb3lvAdVv2aY3OnN3aE9LqMxvE9vza3k+dIO5707Uftbt9CCGEEDI9EZE9SqkVLtfOeOl4p0jizmuSZSqN47YJmyu2LbY42Ny+XRzOo64L1lMcqaqL5Ftr4KXJ10+vm+Sy9sY0OZrbnL8BpCqj1bWFS9+PI8+P6vs66XcwTxeZuks/a5ebuAutPrNB4rj1d5pe2RWCEEIIISQuM1463ilc3XnDMslLlw81OZqHZa02ig7S8jRmaU2Sc1fTtajr/HryZ7GCsvmJSgXXbtnXNCur27s4eMy7TZulAAAgAElEQVSX137lewW8PK4ftPgyfb9NuklfRjB3oM+4XMDkVl4tHsDPbNhRL7sv+weAy2c9ii3VL2HxgCc1d5Wom5iVy2D380cbJM2meHXy6k3bn4xcIhCFTvqty9PEwWLJ6Ih+3ZZ99YF4u9zEo7hh+InUlRW2JSOnbdhRVwkAnZWJm8qpq/vgcoDwEpVedB2PWmqTVh2nnR4hhBBC3OBAu0O4uPOGZZKFYgn37ik0ySTjrD+Ocv8d3lvQDkiB+O7k7SRcjqCTt2l3K13kwWPHjk80uGrrmJXLpCbRbZVSuYqJisJ8w+A1yq3cL6U/yF6VGcGfqzswO+PNgi+Rw7gldwdQRuLB9uhYucHZ3eYhMDg713Qs7HBv6psmfCfvqOfN9vz415gc0X3n6nn5nPajQBpu4iZuGH7CyTk/LlHPeqFY8hzdZVJRkLaDt66eTe0ffh/o3MZ7QfpuwtSngk7+weNAsjo25ZM0PUIIIYS4Q+l4h3CVorrIJNdddEakjFiXvg6b/PXys0+Gg/Lc6ZpW7neppyTYXLV9TkxUOzrIjqqLclVBKTT1JUF8t3Kd1Hy2jGN939a4YSciPK7TtatCc52YnOhzWan3E9vztu6iM4z1rJN9m55LkeZ2aLcsOeiGnxb+sx4ludY9L2nKy13bP+nyhF7CFG/aEv6pVi+EEELIdIIz2h1C5857/utOwuYHnsZ1W/bFkkmuXjaE3c8fxZd2vVCfnQSaZdEuTsI2+Wvw/220Oucddf+sXOOwqpMS7mqHJ/RdsiuWyrjynFNw96799VlIhfhu5Sap+WI5kjD6eBRLZZy2YQfm9GehlMKYQZqg4M0SB/sw0Cwzn9M/+TrznxG/jnxHccD8ccnPK+yUb2J0rNw0CBzoc/92GVfSO7y3gLfJt7E+N+kqH2zffC4T6TpuKvNHVy/FilMXJDLFS+t5tL2Lwu0frifTvZ0yLwz2F5HJj0jBnR6CmOI1tVHSOnZdskQIIYSQ9OFAu4MEt4pqVSZ5755C0yAw+M/j5aqTDNE2wG+HRDWMAJjdnzWukQa8AU0wblvMadNL8vkgW767XxvX9upKbB93k31HSc07ha3tAbtDdPAZKpYm+wkA3LunUK+jilLY8q/7I5cKDA3mYzl6h1MKxhA1aI4j6R3eW8DIV25rcJUPSv13qDfj+3/xVmusNsd+P98k2+JFLU+Jk47rjgKu9wpQ36avXYTbMvhYFktlT3KPxnY1xWt63yStY5clS4QQQghpD5SOd4m0ZZJhXGWIcdye24ECMBYx0AKancdblau7kM9lneXzncbVdd5GXKl5N7BJseM6i0ctFfDzSsOFP0qaG1fSu/mBp3EtvmyU+l9+9smRcbksX7G9D3IZaVqykqZUPs6OArp7dc+pQrqu+jqi+ku5qrTLf3Rl1Un4W6njVuqUEEIIIa3BGW24STjjOsQGpYQ651vTrFFYJhmWl6+76AznGSdXJ+GbL1ma6j7KcbENGVdlRmpS6MM4OLYIePxmrF62xjnehvtjumpXlcJdj77QsjS+V9leXQkpA+scpebdwGZmZZMLJ/s4ovDh+x43StjjYIotSpJeKJbqSz0GZ+egFPBSqQwFYPGAWer/0FOH6jO3pneSzrE/LHUPS+59/HeFTo6ve1cG89DJp8Mxnv+6k/DQU4caHMPjOISvXjZkfCe0Wybtkr7fruG20LXTilMXpOYSbsuHEEIIIe1FVAdlsStWrFC7d+/uWH4u6GSiYbda0zWXLh9qkGbbjocxycQFwCffeZbW7RjwZpXKKS4c9sv6p1sf6zmJ9KrMSINUFgCQywMXfxrnfn1R5AcH3f1jqh8bylf31GByqjI7l0llUGoiSjJskkILYN1WrBMM5nPYt/E3Go65SNJtLusj/ddgSaZ5sH2guggrxz9tfSf577Oo953tPACnd+W6ex5rUg7kMoLNl73BmEeYJI7hNml8lPS8FUz56uhlJ3RCCCGERCMie5RSK1yunfHScRcJZ1yHWN3xMDYzJj9vk/w1TfyyukhPO43OFRvlEvDNm5wk79121Z7ulCbaN8jOZSRS3mqTC+uc2TuJaAKLkhhHbWUWJfV3WS4S9b6LK8fXvSt18vygfNp16UtcyXe3ZNJxlt/Q8ZsQQgiZOcx46biLK2tch9hWZ4b9/DrlDFsolnDnoy8gA6B9Q6f4mFyx1UsHAABiGZasyoxgyOKq3Yqk3E8/zv2t5teLtFMAUa4qXLdlX4McOCwltsmFdftbd5LRsTJec/3X6xLry88+2fo825aT+Li4ytuWi/jx6Ih659hi85eiRBkHxn2vRV2nk8jffMlS684OuiU/8/I5iADFsXIiaXVQnh12HbeVKxhDcJkA5d2EEELI9GDGD7RdXFnjuly7OlVHuYx30l0b6K1BNmB2xS6ohfjA1n3Grbd8ybhuVhEAiphjdG92GfyGJelR98e9frowf3YOx05MJDZuC9+lc+YezOe6Pqg2EXQ8v/PRFxq23wriS5tdJMhxXOVN8eiYl88BaO2dE/XOi/te82PSYXJtv/mSpXWZuOma8G4Mwf4T5f5uIrju2sfUnos1zvbBZQ5JYyCEEEJIbzHjpeOtOvGGMTnH6pjdn7Xm3W1H8E5w7msWGM8ZpbLlNdb9rbWS88D9SqElSXlcSfpMlbArlY47epCw9Nb0MaUXOTFR7dnn3a/Hdjn6B5cCuJbT1rZpL/mxpZMU29+WKPk8JeaEEELI1GfGz2i7uLKGpYEmsiIolSvO+0+/PF7BYD6HjEzuJRx0AfYdgDuxn3Un0MmnP/37N2Pt330Hj/zwaNP1LlJZHUbJuQI2lK/GrbnbDPcdcSqHKX3T/XGvny60a6bZlypPNaoKTYOrExMVXBuQyHfru8HoWLnudt6OFQHlqsKm7U8CmHyfRu0cULSY2dkk7qdv2GGdNXdRG9lk6y67VAD2vy3XOeyaoIs/Lcm7axkIIYQQkpwZP9AG9LI/0zXLbnrQ6GacZG12eDBSLJXrskEAuHdPIXaa7SCXAVoxmDbJp7d+bhG+98KZxvuSSGXNkvNF2F5difVqq/b8QbWwpfRN98e9nswcwsqMbvn+C+zrsMMM1WTgce4plspYt+0xAN77NOrDZXD5Tph5liUDCpNbvCWtT1PeJjk6oJd5m/62uMjnpZafafeLpJL3uGUghBBCSDJmvHQ8Lp3YAcvm8tstWt3FySSfPvf521IvY5Q7c9T5VtNv9XpCXMikNP2dZEC67qIzEsnMg+7jNgl5lFu4y5IBW5lst9vydpGsu+Ainw/uQGHKO0kcaZWBEEIIIXY4ox2TlzpkvOTPyEx1fLm4yQH81UhfPh0lOU8qSXdNv9XrSSPT0bE9Lu2qg1ZmfW2u7zYKxRJOv34H1p59Cm6+ZCluvP/JJpWQv4TGJHG2ycpdUJg0rRy0SLBvGH4Cd+/aj4pSVjfxoNTcVZZt2zVBl66LW7uLwsBlp412Qck6IYSQmQQH2jHppBO4TR45FQjLxXW0Sz4dJTlvxb05yf2t5jdTmamO7UHaWQdJB9kf2OoNsOfPzhmX0ljzVcCdj76A5w4dw3GNXKYuM5dJQ72gxNn1PWzbAaKiFPK5LDatOlM72Lth+IkGfwybmsmXmrvIsof3FrDunsecjALj7n4Rlpub0ozaaaMdULJOCCFkpkHpeEw66Qws0j1zpDSwuX8DlE+TaGaqY3uQXqyDqvIkyK0upXnkh0eNcuhyVTUNRn2Js8t72GUHCJtk+u5d+yOin8zHl5q7uqG7DLKT7H4RlpvrcNlpox1Qsk4IIWSmwRntGlGStuD5wdk5DPRl8FKp3NYZ7iQzRTq6Jb21uX+PYi6UAm7N3Yb1aqtTTFNBQtzNGOPmPRXqcyY4tke1QzfqICPNRm1hOqXs0eV73ZZ9mJfPYVYug+JYGYOzczhertT3Kc+IN4h76KlDeOMp8/Dos6PGme1CsYSzbnwQv/WGV+Ohpw7V/wa4mlteunzS8MxFlh0l0RYgcvcLmzt8OP3g3658LoPSRLXhA8lQIK840u64MnCbU/y5t+ykjDwBlOITQkhvw4E2oiVt4fOjY2Xkc1l88p1nYfWyIZx7y86u/eiMopvSW5Pb9ijmYhbGMTvjHtNUkBB3M8a4eU+F+gSmv2O7Szt0ow6qCshlJfV90NNCwZOX53NZrD3nFNy7p1AfZAOTHwkKxZLTu7lYKjfIxOO8z+/dU8CKUxdg9bIh43Kfeflc/b9tH2eHBvN4ZMMFxryCLuamvztBCXj4b9eYRqZ//utO0v6ds0m7k8jAbeWmjDw+lOITQkjvQ+k4oiVtUefbLblrhW7KTk1u20ohdky9KJ8N080Y4+Y9FeoTmP6O7S7t0K066MQg+9zXLGhpKU6pXMHdu/Z3dXeG4N8Ckxt68Pi6i85ALtt8YS4jsf6WuEjAXXau8CXycaTdSWTgUdJ3ysjjQSk+IYT0PhxoI1ruF3W+W1+PV2VGMNJ/DZ4duAIj/ddgVWak6ZpWZKcu6dvuWd+3Fdsq5+FAdRGqSnCguggbyldjvhwzxmTK0+RanoZ8Nkk59bG4x+iap+264Lm49TNVJNnbqyuxoXx1Ux9qddY9rTZvFZd2aFcddJsrzzkFd/3+r+DmS5bW9+VOgqvEOynZ2ijZtqWYL382LfcJuqSvXjaEze94A+bPzjVcU64qXLtlH5bd9CCG9xYwvLeAc2/ZidM37MC5t+zE8N5Cw/Wrlw3V607gGdMN9GVw3ZZ99etdnMT9+ovjRp7EuTwYrwn//qiyk+66xxNCCHGD0nEAgwbn3MHaDyEXl9ahDrqRA+7S36Sy0yTSYt09l8nDTYOC9WqrXlKu5mjzXF55Bgp6Y7hW5bNpSqhd69o1T9t1ACId3XV5x421F0jbsb2XZPOu7TDdXOuHBvP46OqlALwB2LbdL/Tk8puwlHvZTQ8aB9P+loy6YX/Y0duXgA/vLWDdtsdQDiyIHx0r4wNb9yGbEa3jenjdtk32bfrbFsT/kBDHjTypc7kfr032Tkm0G91yjyeEEOIOZ7Rh3rbFP+4i0eukGzngLv1NKjtNIi1uNSYRvaR8bXYnMppRdlWhZflsmhJq17p2zdN2XZSjuynvuLFOR3pJNj8T20HncP3ID492KRozujijJs91HwRtjt6bH3i6YZDtU1XN0n2bLNgkI1YKkX+XLj/7ZADx3MhbdS633U9JtBvdco8nhBDiDme0Abxk2Ku6WCo3zGD4sxVDBnfPWblMx9YKukp/t1dXAmXUXI2P4KBa6OQunURa3GpMt+Zu096fRbOBT0NaCVmVGUlVku5a1671ZL9O/4tfKUBBItt5e3UllleewdrsTmRRRQUZbKucN+XlyC60SzafxMU96fM5VRnM5yACXLtlH67d4u3FnbVpslukFaVRpVrFpu1P4rot++qOzjqjszDBJzMrUncl9x2iC8WSk6u7jkKxhNM27AAADPRlMD5Rte6FXiyV65Lyl0plrev4Q08dqkuzg3/DRBoHuDYH9LiO17b7r6v1izCURDfSahsQQghpPxxow+6GGpTdKUwa1oS3/gpK3TpBHOlvEtlpEmlxqzGZJOUVZNCnGWwfVIuMsUThy4dNv/GTSqhd6tq1nqKu050rqEVYOf7pyDhXZUZwWfZh9IlXr32o4rLsw9hTfe20HeT5tEM234ocfbrJwk0M5nM4MVFtek+2c431aQs9GW2SwfZ4RWG8NrAuFEtYt+2x2GlUlMK9e7xBrOeM7pU9ySA7zIkJ8wfIIOFdMnTS7HX3PAYoNMyuq4Bzu022nhTT/ZREu9NqGxBCCGkvlI5DL8EyzbGUq6pJwubi7Jo27ZacJkm/1ZhM999VuSD1stqk1+2W7rrWk+26Vuu6l+TTnaYdz85Mrk9X/BnSTvLID4+mtqxHJ/F2IYkzekagdSZPStQuGuWKspavk9JtSqIJIYRMFzijDb0EyzYDUiiWMLy3UL8vKGnTyUd3zbkAh46NpzKL4dNuyWmS9F3vMUls/fs35b6I+fCcyUuqH3uqr8We6mvr6Y6qORABbs3dhvVqa1MewfRH1VyIAIM41pCXST6sFNru6Kyrp29Wz8L6vq24VW5rlB3b6rOF9k8inza1m398SA6jggwyqDpLp7tBO56dqeLi3k2iTLnaxe7nj+LmS5bWZdsi0Wut0ybOrP382TlsvPhM7H7+aMPe3q3iO6MnldKb7vMl8WnKl4MS9nwug1k5z0190/YnIeK5uNvyakdM3WY6lokQQqY7ojr4i2PFihVq9+7dHcuvFaJ+kOSygs3veANWLxvCWTc+iGKp3CQfBbyZsg3lq3F/daV1Ld1MwVZH/qAt7fNB/GvX923Fkkzz4OhA1U16nSZRZWoHI/3XxCq/KcZtlfNwWfZhbX23uwy9RNz6JJ3lynNOwYpTF2DdPY91ZH/wJAQdzltZjmRyPnc9b7vPl5/76OLM57K4+ZKliQaBccutyyvtmHqB6VgmQgiZqojIHqXUCpdrKR03ECVTK1cmJeT+Ol+bfLQ3f9p1niiJbTvO667tJbfnbsiO45bfFOPa7E5jfc8k6XQv9SfSzN279nsO3z06yAYa/+a0shzJtBWi63nbfS7LplqRmcctty6v6ehaPh3LRAghMwFKxw2sXjZUd8U1USiW8Jrrv16XBcaVjyZxKZ7qRNVRu86Hr+0lt+c4/SatPhO3/KYYbY7wADAkhzHSf01D2p3s9y7LCNKgl/oTaaaiVE/u0x0kODPZqsO2vzuGqcz+eZelUkEKxRJO37ADiwfzOP91Jxnv8+OPK3dOUu5CKK+omFqlGxJuU+zB9qCUnBBCeg8OtC24bA0TXHsXx824FZfiqUwRc7Ggtv668fgcANF1mPS87tpecXt27Tdp95k45TfFaHKE9xFpjBNAx/p9uL4WymS/a0e+vdKfyNRjKOSoHWfwa0rvkQ0XGJdABWXqQPRSqSAK3gDPtn588WBe626ucy8P3xe33ALghuEnGlzdTWm3SpIypYGtXvz26EQchBBC4kHpuIW4Lqdx5KMz1aXYZAngH4+qwyTnTdf2Cq79ppt9Jo4jvA4/zk6WwXUZASHdJCPNf2viOKWHZeBBh25XB++0nNmD6SeROyeJQwGRru5puZZ3S8LtUi+UkhNCSO/BgbaFuF+Gt1dXYkP5ahyoLkJVCQ5UFxnNoGaiS/GqzAgWSPNsNgDMl5cB6OtwW+U8rO/bimcHrsD6vq3YVjnPWMfh+49U5+KomhvZHq2UaaT/Gjw7cAVG+q/BqsxI7Gtc+01cibkpT5eYw9femrsNx9GPI9XGutw48d567EoBEypj/JiyWI50tN+7LiMgpJvMy+dw3ZZ9OPeWnRje6+25vXrZEG6+ZCnm9EcPOhU8p3IfgcKH73scp23YgWu37MNEpYKM+Oe8gb0pv6HBPATejPeV55xS/3ccBvq8nxUmubNNwp00Dpur+9BgPjXTsCRlSoNwvZhodxyEEELiQem4heG9hdgOra7y0Tgy8+mAL+MVw6+EYLmDdaiTS18mD1sHzJ2S8LpIuV3l3i4xpyExB9yl2+F0FuAYxtCPa8vvt8Y+0n+NNc5O9Hvbx4N25ktIXPxtz8Ly393PH8XL49HGYPNn53C8PLl8Y6zcuJQj+E8F1NMM5+f/T0ccaXmxVMb19z2Bwdk57ZZuURLuJHFkRbSD7bBEvlVMEu40ZOlRBOvFVA+diIMQQog7nNG2sPmBp9vmFj7TXIptMt4kbte9IPl1iS3N+NOQmMeJJ2nstjg71e/X922tz+KZmM7PG5maBOW/d+/aH3l9LiNQCokdyl3lxnEl3aVyBUrBSbYeB5MU/vKzT049rzj5p53PVImDEEKIHc5oo9Gt1P8yHv5CnrZT8lR1KbbVg+2cScarFKyz0+2WGsdp1xv7Poe12Z3IoooKMsgYTMCCsaUZv2ufseep/3Ski6cVF/0i5qJU7cd8ebk5zg70e1t/U5Ap87yRmYfvJB31kTefy+DS5UuspmSu+Z22YUf9b96QxsHa/++g2/b5rzsJDz11yDjTXSw1zmYP5nPYtOpMJwm3ydnbFMfXHnux4WPD7FwG/X0ZXLdlH268/0koBbxUKrfszq3LPyq9driUJ4mDEEJI55nxA+2wi6g/uA4PstvhlDzVXIpbkSSbZM9RPybbKbGP06439n0OV2W/UZe+96FqXIscjC3t+NOQmLvG04qLvklm7lqGVjHFXlCLsHL8023Nm5Awg/lc08DThouSaqKqsOVfo2e9XfH/5pkcrHWS7uG9BVy3ZZ9TvC+PTzjFEeXsHYxjeG8B67Y9hnK1MYKxcrUuoQ/K19Nw57ZJ2+OWpRXixEEIIaQ7OEnHRWRQRO4RkadE5Psi8isiskBE/klE/qP2//PbHWw70LmIhull+XInaUWS/PGJNahqfo1lBNZ6bKfUOE67rs3ubFpfLtLsoh6OrRtLBNKSbk9lF/2ZtjSD9C7nvmaB0ZuiFcoV1TTATAtXSXmc5VXlinJO09XZe/MDT8eug066c3fLpZwQQkhv4Dqj/SkA/6iUeoeI9AOYDeDDAL6plLpFRDYA2ADgQ22Ks224uHTORIdwHUMtSJK3V1fiVtxmTHdVZkSrDrDJpU2yb1c5eJx2zVr2ij5QXWSUQQfjH5LDqCCDWagNQCfas2d6pMTcUbodZ3mDa13q2gZorJ8MqrGWJSSqg4SsyoxgY98X6+75o5iLTeWrelKCnvZyF5KMR354tNshNNCfFYxXogenLn8b47pct5Km7nhSl+203LmjZOHdciknhBDSG0QOtEXkpwCcB+A9AKCUGgcwLiJvB/CW2mVfAPAtTMGBtslFNMhMcwjXsSozAoXmPVsBd0myqR5FYJXi66TGJtn38sozuCz7sJMcPE67VpBBn2awXUEmUoq8vboSmHB3+04Dmzw7jnQ7TRd9XZt9Inc7FBQGxJv18es4qVN60nK6sCozgs25z9ZjBTyJ/Cdyt7etHZPSruUupPexydSzAqdBNuCtAY/C5e9n+PqkaerujZt/nDiicJGFd9OlnBBCSPdxkY7/DIBDAD4vIntF5A4RmQPglUqpFwGg9v8/3cY424aLmyplqGYX56qCsyRZd41PXJmxSaq8NrvTWcIcp13vqlzQJBNXyjveSrzTZfmBS13q6qBfJhoGrkGSOKW3k/V9W7Wx9stEz7Vjr9QZ6Sz5XNYqU3ccYwMAShNmFY9PHDfyXFacXLHjOGqvu+gM5KK2FwiRlju3iyyc7uCEEDKzcZGO9wF4I4A/VkrtEpFPwZOJOyEi7wPwPgA45ZRTEgXZToLunaYv42nKUKeqnNMkDQbgLEn26/FTudu0PwZtUvxwvZniMUm8dWnHadeNE+8FgAbX8bsqF9SPm+L003ORVoddzf304zi9f7N6Fi7M7Ot4/3KpS1sfMhHXKV1HnGcuiXN+nFiSkOSd0YpjfFjS36m+NFXfjUD3Yxeg7sDtu5C3GpNS3qytzXDL3+/77l37GwxEvb29KygFNvGe09/8c8Mmvd60/cn6zPwszey6f2+5qiCYfEvMn53DL7z6FXj02VFUlEJGgIG+DI6Xq6m6c7vIwsP1kxXBpctpYkYIITMFUSbrZP8CkVcBeFQpdVrt32+GN9D+WQBvUUq9KCKvBvAtpZT1M+2KFSvU7t27Uwm8XZx7y85EUjQXwnJOwJv1s21v1SuM9F+DJZnmH+8HqvFdnOOmpau3qoJ2hn1CZdAnzYPtJHHGxda+6/u2WsscdjUHvB+6366eiRWZ/9CmCaApP6XQkEYv9S9Tu9s4UF0EAIn7XpxnLupaW/zt6l9J3xlxnjFdHuOqr0HS75pvUqbyu7EXYr/ynFOw4tQFdSlzWjHlc1ncfMlS48AwLJ8O3gPAeG71sqGu3ZsWpt8KQ4N5PLLBUzrZ4uRgmxBCpiYiskcptcLl2kjpuFLqRwD2i4g/iL4QwL8D2A7g3bVj7wbw1QSx9hxJpGiuTGU5Z5ry+bhp6eotI2hyMR9T/birckHXZP629o0qs8nV/M2ZJ2M5vYfT6KX+pauDcdWHE0ovPU3ilB4mzjPn4pyvi3Vc9bWtfyV9Z7TqGK+T9LezL03ld2MvxH73rv0NUua0YopyyLbJp6Ok1d26Ny1cZOF0HSeEkJmNq+v4HwO4q+Y4/iyA34U3SN8qIr8H4AUAl7UnxM7iS718+V0cglK9KjLIoopCTPlwUlxkgqsyI9iU+yLmw3NMPqrm4sYJN8dkF2mwq1QxrhTfVG8CveP3nuprjWknkVOm4WIeVWabq7kpTbfddr1rW2l7wL0OoiTIo2oujqMfg3i5Xgf+eZvreNKlG3GeOdO1vtu+34addB1P+s5IwzE+Sb4movqF6dNmuyT5aUq9e2FXiopSDbOracZUKJZw+oYdGNTIwW332M7ZlGM2R27/XBI377SdvoPLztrpOh7lbD6Vmc5lI4QQwHGgrZTaB0A3RX5huuF0n+G9BWz57v7Y94WlehmNe3K73MtdHIZXZUbwidzt6JeJ+n0L5Rg25z7r7ERsc3GO63IcxxHaVG8FpZfrmtJO4sQc554i5mJBbSDbeHyONS7A7GpuMjayOb2HGVVzWmp71zrQXbc591kIpJ73QjmGMdWPa8vvb1y/H9EXkjqIx3nmTNcqoL79XNpO5lG08s5o1TFef238d5VLv0gzvyTxtOLI3ou7UqQdkwIwOqZ3Mk9CoVhqWFcdxHfktrl1R7l5d8rpe/Uy+3rrVl3HXZzNpyrTuWyEEOLj4jo+o9j8wNMox7FmraGT6vm4yoeT4iITXN+3VfujdkAqqUgc2ymfTKveksQY5x6T3UGEDQIAvau5CZukOpzGmOqHCFpqe9c60F03IJWmvDspq43Tdz4+saZpOQLgLVPoloS5EzseuEr6k+br2i/CtGvJR9rvql7claIXYwqj2/ZLr4MAACAASURBVC7Sl15HybJt53vJ6bvVWKaz9Hw6l40QQnxcpePTmhuGn8CXdr2g/ZHtSpT80kU+nIRVmZG6tDXMkByuz8TZ4huSw3h24IqWJJStuGqbCMo7dZJjF+nyN6tn4eLso3XJtI4hOYwfDlyBDNAg9bfVbViCuSozUpcTh5kvLxvz9vHrIWyI5qMUoCBNZV9eeaahTv+l+vM4U56vx1JFJrLs3xt4n1X+bJNUB/tNJyTIQVzkvzq593Hot5jbXl2JW3GbU7ydcpmO885IGpMpDyCdd1WcfqHr52nXte1dFX7niACDOJbqUphO0Isx6Qj+yR3M57Bp1ZkNs5kmWbFOtn3+607Cjfc/WZ9592fMh1qQJJukzTbJc/Dc4OxcQynnz85h48VnAvDM1KIk02lIz3uV6Vw2QgjxmfED7RuGn0i0HjtMlPzSl+ylKT31JZAmebEIImXr/nWC1iSUUVLFsKt2H6q4KvsNANAOtsPyTpPk2HbPEjmMq0Q/cA0iAvhzDn4dLK88g8uyD0dKt4P5mq71peNRbJx4Ly7JfBuvkBNN546pASwd/3zDsVWZEVyWfbjust6HKs7JPA0FVY9lLo5b8xQBFuAYPpG73djuprYN95tRNRcLDR8bmtNs/3KJIHkZr9fJAhwzXusiuU1behyFyzuj1ZhMeaTxroojTQ8vB2lHXZviGVVzmt45PmkuhekUvRLT/Nk5J9n5idC+3VGy7OD54b0FrLvnsQY1mgKQy0hLg2ydtHn380dx756CVvIMNDqeh8t9vFy13h+Os1XpeS8znctGCCE+M146fveu+Ouxdeikej6dlECGCcrWx1X0d5WkEsqkrtprszu16aUl844aZOuYLeNYm91prNtwe0a1g6sk3M/b9birW7QL/TJhrFtb3w7GJ4Km606obFO/69RyiSTXukhue8FlOkwvxuSjq1PXftGOcpnaWMT8/KWR70wkn8s6v/9akQ2blnyVq6qlNHXS5rt37Y/leB7n/jC9JINPm+lcNkII8ZnxA+1KnFGQhe3VldhQvhoHqotQVd5+zkp5rti2vUtXZUYw0n8Nnh24AiP912BVZsQ5T1dJ5pAcxvq+rbi78hYcVXM9eaYyDwCTyHobyy9N5Ta5amdRbSq/i2RbV29xJKpRmOJVCiiFfqRH5btAjjm3a8bgJB4+bqujpAzJYW1fDLetqd8M4uWmPrCu/Af4YPl9xn4RLpPrs2CW/zYejyP/D5dV1Z7jWfAGWH48cRydTWVq5bnX522W96eRfivo3g2u/aIdjt6md9WgZYlFGvm2k7T7UxrMn53DzZcsxUsldxM1k2x4eG8B596yE6dv2IFzb9mJ4b2FhnM2l/OkUmRTmqbfDIViyRpH1P26OFcvG8LNlyzF0GAeAk8G77oHt63OeoFWykYIIVOFGS8dNzmfJiGuVK9VWaSrJFPES/syeRgbylcDQEO+zekmk/UmcdUGgCUZrwxL5DA+kbu9Qfqsi81Ub3Gky1HYXMAXSqP0OKodghL+qHa11ZO/3j5Kqp4Uhca2CMYcbNuR/muM8uqkEuS4z4Ktzl3rydTPt1dXAhMwxuPq6Gwqk78soRNyaP/Zb6e03YWk/aJdjt66eNarrZHv0246iZvo9FIGV47XtgEzSYR16GTDNndqAFh3z2Ox04xieG/B+NsgK9LSB3rT/aY4oyT0OqaKo3eSshFCyFRixs9oz+7PRl/UJlqVRZpckk34adukzu2SuetctZVqlnbbpM9+bKZ600mXdb+Hykowocxdv6q8eG1y6WA7uUqrXdrV5D4uAedrlyUDJk6oLCZU88hTKc9d2yXmdjgax30WXBzCW+nntnhcy29KQ7csoR1y6DTT7xaddM+OqsNec+326dVlA74c2lUKbJIN29ypo3YJ8ddox2XzA09rB9kC4PKzT26SPLuSz2W196ctmaajNyGE9AYzfqA9Nh5/PauOJNK9pLJIP69bc7c1bY/iY5OFm/JVClaZexS2OthTfS1exqy6ZD3uDmrB2Ezx+9LloDz+mBrAMTWrQS7/E8yJ3E5r48R7sa1yHioWqbTfTuFlA61I8jdOvNeosPDvd5HIKwVUleCYmoVKLaYJlcGXK+fjA+X340h1so6OqrmReQKN/e44+nGkOjdSDu5KlLP5DwauxHOBfrW9utLY96PqyaWf257NsPT4SNVzxL81d1tDvzelYVqW4Ltex32P+E7ZeYzXl6yY0p9qRC1JaWdeR6pzcVSl18fTItxH2iGvT4tCsYRrt+yLvC4rgkuX62c3TdJvF6n25sveAACxJNQ2KboC8NHVSxskzzaCHy8F3mD3oacO4dLlQ22VTKfh6N3r0nNCCJkKzHjpeBxZm4mk0r0ksshwXnHx09blW1CLWhpkm+oAaJaqn1D9OI5+LHBYFxmOLareZmHSYfoVcgInVBZl9NX37V2AY7gs+zCOGqTmB9UirMqM4PLst5AV82g82E6u0moXosrnsmSgggw+UP5D3JK7A9mA0/tl2Yexp/paLB+/veH6qJjD7bsAxzAGuwt8HKKczTO1wWmwX72MWVpX9TEMWNN06edRbeC3t63f28qkI+x67fIeCeffhyqqqnl/4mDsU41Oumf3ilO3CV1/M6maplJ7V5TCvXsKWHHqgqYB56Cja3mYoZoUO46E2pdcR6UZlDyfe8tO7W8IARraxv/PQrGEe/cU2roeuVVH76kiPSeEkF5nxs9o65wv45JUupdEFukqGxZB0w8wP+1OS39N55RqlnqPqz6cUI3tEY7NFr8urwGp1AfZwfx1UvNgOuF7bDEFabV+o+6PkriqmvQ9TbftdstTXeT34Xzzhq3L/OOttEOr8nCTxNyEyfU6idN+xvLsk6nNdG5vk7Q5yXJoXzIeV0Jtcw03ybt1vyGivF/aLeNu1dGb0nNCCEmHGT/QXr1sCJcuH0K2BWeppNI9VwmqS14mdJLLdsgxbXVgOjdfml2qP1h+H9aV/6B+7Kiai5JqrBNb/HHqZz6O4Tj66xLqI9W59XRsjt5KAburP2esr1brVydFz2Mcf537DG7s+1xT+j+pDtQl7hMqgy9Wfg0bJ94bq19G9UWbtPu5gSvw3MAV2NP/vthux6syI/jewPvwqdxtyGO8LnOP+nE9JIeNLy//eCvt4HpvlMR8W+U8Y1l8eX+U67XtPWLr752QW09l/L7XSv/tNKb2FvRGe7fqz1golnDahh1YdtODdalyHNdyAMjnMth82RuwetmQVXYe5zgAzMrp3zhB92zAk8G7fBtI6obuQquO3mlIzwkhhFA6juG9Bdy7p9CSi2grzrguEtTgDyZXp3EAKGIuVo5/2ppvWkTVQRKX6nqdZPR1orsvTv0A3tZbPnl4+azKjEDB/KNRBHhz5knc2Pc5bJx4r/aaVut3e3UlllefwVXZb9Slxn2o4qrsNwB4a7nTdmy29UWTPDX4fWqhHMPm3Ged3Y5XZUbwidztDcqBLDzDtmMqb3WQV2g2b/OpBIbgrbSDy722Ol6VGcFl2YeNUvGCWtTwfJpcr23vEXP+i4zPPtH3vbj9txvYlkP0Qnv7781Wd/IYHSvX3cTjLu+aCBiAmO4VeH/7gwNPm9O4H5NJPu3/Oyi3jiKJG3ocWnH0blV6TgghxGPGz2jbpGKupCHFdpXm6vKyzZh1ClsdJK2fJHJlXV4ug8Rg2uv7thoHccF712Z32i9qkbXZnU0xxsk3zXrXyVN1DEjFWU5ukucPSEW79MFH55AePHdX5QKn/NMg7jKG8DWuaSXJn5ix9b1uu3XbmArtndafnXJF1V3L4yzvKldVXeK87qIztB9MFdAkgzY5jQdJKjsPk7bLeNq0Kj0nhBDiMeNntFuRQvluv4vlMEaVJ7UdxMs4qBbWf/j4stuDahG+WT0LF2b21f/98Yk19ZkTV5nv9upKoAxs7Ptiw2ysjvnyckOM4TyjyhS83iWdkuqvzwqPYi7ur5xjrZ+oWaMkkny/frx8j+CgWmiVgYcZksPOPxRN7tFJCdexKf3w8fB9wX5WhOeaPAcnAHiz9ptyX9TO2t3Y9zmsze405uvLUxfLEYhlr/MhOVyX+NvKaWuXQbwcW4aqFOqyeV1+tr6ruwZA5H3bqyuxvPJMvd4qyGBb5Txsr67ErXKbMU7/mnBa4b4b9ZwkuYfYJfdpu3XHfQfbmGntXSiWsGn7k3jjKfPw6LOjzsqzg8UShvcWrIPnQu0af9bX9bdAoVjCspsexMaLz2yYMbbdH/xQOZjPYdOqMyNnm/34DxZLWDyYx7qLzkjFiMwlXf/f7cifEEJmEqI6OO25YsUKtXv37o7l58Kymx5M5Giqc/8eU/31tXG68+F9o4PXj/RfgyWZ5h9/B6rNkkBX5/Ej1bnIy7gxRtcybauch8uyD8cq6wmVhUAaZo1seeuIUydJ0jFRtcyYBplQGfzsiTud07Xh0l98KkrwmhN3Od+nS2dc9eGD5ffV2+LGvs81yNR1HFVz8cYTnlt5VJ2a2tq17x6oLgIAbR4TKoM+af4Y4PqshGPTXTOu+qCgGvZ015XJlv76vq3GOor7LJB0sfXfuO8XGy79b7oymM+hGHN9dVrMn53D8XI1coY5n8vW1y6b3MNN5LKCze94g5P7ePBXVjBPE2HXb9f7omhXuoQQMpMQkT1KqRUu18546XjS7wxRsmbdeZNUGYgnCXRxHk/iYmwq09rszthlNTl9x5FlpiWT/PjEGowrd/GGTiYd7idpS5Rd+otPCZN14nKfLp1+mWhoC51MPUywDqLq1NTWLn33hMpalxzcVbmgpWclHJvumn6ZaBhkm8qU1HU8Tcd2Eh9T//X7Xlq0262/lxFByzt6JCGX8YwhXWTcQSl4bIl6RTXIyF3dx13cu9vl+k03cUII6SwzXjru4miqk/5FyZpd3a99me36vq2YhXFMqAyyqKJgkRiaJLdKAQqCUTUHIp6rti3G5uP6dE1S4rhlteUdluGLAIM4hlE1F1VkMKe2ZVPJsl2SSaLpyy035b5Yr5OoQWVQJn1QLcSz6pV4U+b7dXnwv1R/HhdnH62bk/lUkMFdlQuwp/paZ7noqsxILHn7HJyoG7HFdaEPEmwLFxn8fHm5/t++ZPrK7DeRMcjIh+Qwnh24oqH8pnj9QfzLGMAJlcOtudtwUC3Ctsp5uDj7aL3dSqofe6qvDdSvXT4b9ZzGrfvgfTb5u+86jjLwqdxtxvoZ6b8mVelvmjLldpFmjEnT0r0Tjqq5uHHiqlTrK+mOFGnQ7b4wOlbGleecgjsffaFjefqy7Ou27HO+p1As4dxbduJgsYTB2TkM9GVQLJWRFYmUqvtycV+OXSpX6vcNWUzcomTq7XL9pps4IYR0lhk/0I5yNDW5gRcxFws0A1nfITiO+3XQ/TaDan12ziTvNjGKudhUvipSmmtyMTbFXEEGfZqBWJKyjqo5TcfCdRx0m14oxxqkzwvlmNaNPcq13f9h7SJbBuwuvjrHYh/fGXxtdmdd3mxykA/GHWd3ORHUB/hxXdaD+O3nuqVRsN/4jtpZMf8QFfE+WATLb3NN/vjEGtySuwMLM177L5HD+B15CAJpav8N5aud5L1RruBx6z54n8sztr260ugmLmLvG3Fx3bmgm6QZY6tpba+uxPYT7a2XVnakaIVe6QtfevQFzJ+dS7Q8KwqdJNtf+7z5gaedZeCCyW29RsfKyOeyuPWdZ0VKwgFgXj7XJMeuKFU3DjPFEeXe3S7Xb7qJE0JIZ5nx0nGTK6mPSfqnFKzyVVd3cBHEkliv79tqHBgoFS3NtUmvk0p14zih62KPitkmubel4SIR1hElTzc5FgfjDa8hbkVKbcpjbXanVZ5sY1z1NRh+RQ02w3USN26bnNrm0t3qEoSkruA6qgpO94XrKqqN0pISTwWZcpoxToXydsslvFfqpoqaR0Qb0rZJsnUy7lxWkAuZb7hIu21O2yJ2OXZS9+52uX7TTZwQQjrLjJ/RXr1sCNdaZGYm6d98eRnXlt+vla/6kr18TQqeQRUH1SIslsPOPzjiyrv9mExycaU8aaQIcGvuNqxXW5tmzW2Otjapbvi+UTXH6Ig+iGYn9CTy58VypCEdU70G69EmWx7FXKsjepQjtwu+VNhlCYLJCC1IFtWGuvdlzLr7gh8+fOUD4JlC2ZYi+IQl+1EScF0Mvpw66NINeE7ofju6En4+dFJuX8bvG5OF+67NFdxW97b60i35CJfZVDc2XGTANhl7K+m2co/rs75Y82y0Y1eCThEsdxFzUar2Y76477jgmraprnqpbjppiOZLoE2u2eFjppnqQrGE0zbsQFYEl599sjG/4ljZOFt/sFjC6mVD2P38Udy9az8qSiErgkuXR+9v3U7X71m5TP3DgM0BvV2u54QQMpOY8QPtG4afsJ63Sf+2V1di+7jdVbkvIAVf36eXkOrzjSfvDt6jO39UNTqQm6SEujLZjofPR8lxi5jTJGlMYkgXTsdEsB5tsmWbDNnFkdsV3+nYr/9RNbdBKu9jkusHqdY+L2yvrgQm7LJ4kWin+DAKk+7rYcm+rS798oXxZdeXZR9umvFfIoed9ukOpuVjKosv4wegdSOPy6iai0/kbjf2A1M/MpU5iE1K7CIDXpUZgYJ+5tCUdhJ5cZx7dNfa2jj8bETJnLsly44iXO4FOIYx9OPa8vs7tjygV+smLUzrp4MS6NXL9APa4LEop/GKUrjz0Rcwpz+Ll8ebzdUGZ+dQHCtrtxBbPJjH8N4C7t1TqMdaUQr37ilgxakLnAbbaQ5sdY7jJyb076TwtYViCdff90Q9LkIIIW7MeOn43bv2W8/Hlf7FdSE+obJN7rdR8u4TqtkZ1ZcCm+KN60CeFJusdkz1Q6nmOOK4XdvS0eUXJeF1kXG6OHK7oJPA+wPgcEx3VS7QtnOQKPfxMFFO8UGUZoszV5f8pHJtndu7y/NhS9OX2IdZ37dVu4WbaTa7qvTLPILn47wTgrgsVXBZFqErT9y4ot4Jce7RXatrY912ei7vpm7JsqNop2zbNe1erZu0uPzsk1ORQLs6jY+NV7T5eQakzUgt7V5y+Y4TSy/FTQghU5kZP6Md5Soaln1WkMG2ynlNRlwuEmaTNBvQy7WDhF25yyhjDk4AmJQC1+/R5HFrTi+TNclNg/mNYRbyOI4MUHfc/hn5rybpos3BWSlgQ/lqYxy66xUEB9VCfLN6Fi7M7HMqj9+cFWQwC+P4ZO42fAq31etpW+U8/Fbm0bq0/Tgaf4yuyow0ORGb5OI2mbQr83EMCkBFTX718mM6pvLoxzFj+nNwAj8YuBKZ+tx2NEmc4oMEnbJNkmwAxiUIJrm2T9jtvfH58J6vPMbx17nPYHnlGSfn9SyqeG7gCgDAMTWAP5v4vdjlF3gu+LbzptlKm8zetrtA1P1Dchg/GLgSd1UusJYnblw2eXGce0zXhts4ieQdsC916SbtlG27pt2rdZMmA32TEuj5s3PYeHGjBPqG4Sfqkm0fXwr+0dVLG5zCo1BAk6P4uovOMLqbK8BqyFYolnD6hh1YPJjH+a87CV977MW6xF5XljQwOYsXiiUM7y005Ed3ckIISYcZP9CO2sIjLPvsQxWXZR/GnuprnSW4QKMLsVaabZFl61y5x1Q//qT8R9ofTro8TM7Hqpa+zcF7bm1rLcAr/5szT9YHf750cXnlGVyWfdgqq7U5MOuuD8pwN4bOm9IJS+SDLMAxrM3uRCXgYr0Ak5JoAE1u4r7ruY4KMnhJzdZKv13xnbnDcbpI1UUQKS8P48u3XeIyHffb3Ob8bVpWEYVJfr28+kxDnQRl4VHO68GyvEJO4K9yf2vcNcAk2T+q5mK+pZ1HMdd4LumShaj7/fa/KvsNHFMDeIWc0N4bN12bvDjOPa7lHum/JrHMOWpJSzdop2w7Ttq9WDdpEd4y7Hi58Zm9YfgJ7bZivhT8uUPH8L0XXnIaZIfv92fOo9zNC8WS1mzNR9WuCcc5OlbGunseA5CuTNu2Jj0sC6c7OSGEpMOMl47bjE6AaKmei2S3VcleGlLEj0+s0a6PzAicHLyD6CTQa7M7rZLxOA7lLvUVRyIfpE+qGJDGH1d+XZrcxEWaY1QKuKtygdUB3uWYiTSk6qZ6NcmM45BEChuVr63ddfL9pM7rOVHGXQNMDvsizfLmILa2bVXGG1U+v8/HzSNJXHHucb12usmc21me6VZXaRGWNUctCXvkh0djD7J1eUVJz02+CVGUKyp1mbYtVp3TOt3JCSGkdWb8QPujq5daz0dJ9WyyUP9/QcfmG/s+hx8MXInnBq7ADwauxI19n4uMMa4UcVVmBCP91+DZgSsw0n9N04x1mCE53HBtElmxTV69rXIe1vdtxbMDV2B931Zsq5yHA9VFUAqYUBko1P5feZJS37DLxvbqSmwoX40D1UWoKsHR/8fe2wbJcdx3mr+s6uqeHrSWMwC8e8ZADFG2KN/xuCYNnk0vIZwEcpcbYQvHkE3aAkD6gqKhpT5AtC1gwbXDAByyiSUUNOgPOIonY2Nh4SgBto4LmREnLwHK1PCOvABEyjyGTIoiVyQGftFgZmgO5q276n8fqrOmujpfq6t7umfyiVCImKnKzMrKqunsevJXVMM8laWp6zo2sUmpwgqgqXez5JzOUgUAlPVNUa1lHHSKSTlEQEQMl6KNOBnekfQP71dAvlxAVaYIUxV2hzeOi+U9ymUF/PwdC44n45DvO17eKx1fPHn9TLgtGUMmfT7KrraMH94/Bxv35xpX69ls2zXHybavQe3LT2QcLp3AY8ETqGJJeUweKLmu0sejqiN7DWX3kd1HVPvYlG+ynagN/Y5NH/VT2YPO5aYCfduR89olYUXUBcRPgB/51I0YqQbSbQnA2EjVesJdtKbN22pSH9+Wt3tspIpHPnWjC0JzOBwOSxh1+Q9SmltuuYUuXLjQs/pM2PW//z944YdT0t+Pl/cmabhpLkWx/ij7fTbgZ47KuBB9pEW7BuIPzifDO3CwcX/uNqQRqew8bXp/6bSwnDRzVMY8lbHBy69Dp5miGoaw1NaeM+E23O0/L2yn7YdGU31fhe6VTu9HFfiMWupQ7RMR8GfhHW3H2AlXolhPVp0b1XjK20+y4xSNP1GdR4Mvt1kE2fKX4LdsIxsjWUICfqv+OevjMm27abmi612V8G4y1kVp96oxl/f6EZG3zUXSD21wDA4j1QCLjSj3k2obxkaqeOHAdgDiNG/ZtrqUc9l+RSJrQ7fqczgcjtUGY+wiEd1isu2af6KtmmQDelVP9HtZim52kg3IU5Ft2pDGNvU8iywJOw+ydHCZap43mddE3+c0yGtL8zZ5Z/WwYN23ah+veV6LmmTz+kzWbcvGk00/ZcvMLjsw1VX3l04rJ9m8fJHOb9J/8xiyPq46MeO2m5SrS2jPu/RDpsvLvhst8i0C3UzOHqQ2OAaDauCDMfRkks0TxTmqQLWsbm2ach74rGuattPCHQ6Ho3es+TA0Hbr0VtHvbdVrkRabTv2+TBu1adkclWaebSsDCSduI7iKh+oPYn/pNMbYZNs6M5PXcfE0ZVk6uEwFttGRdUnv2TZFYDgVbsfF6PqW82WiUnvSSBs5Kp1e1Ic8aV11XuTROq31jpf3tqTCA3Jl3CQ9nSH+koIfUxXNCU9D/a7jvOnmgLz/0qzDAobZgnY7DhHwPtbhWHAc++m0Mom5k7bH+6uXl/AlG5czyeN8bKuOXzaGiki2Vr09oIjyTSkqvTt7L11t6dsO4JFP3YiHJAngRUMAfuvrr+Dot17Hvjs/qlS8Rbr1UOC1TMyHA6+Zah5f7zx1HIifPl+emcemZsp5Eeo2L+Pot14vvGwRPN398sw8RoYDEAHvzde7Xq/D4XD0A26ibYAuvTX7e1mKrozsx+msMrmZTeLT7Nug1AQsnZad/tCoS6VNt1WV9ns22go00KZuRqQPd5miWqLlHqSTwlTuCAy+YNJoksybR4FmDPBBSWJ8Wht+s7Jbm94tS6NWITtGVTJ7shxBcQ5NxhZfIrCZTeJo8GWwVNK6aXvSEJAk7yd1NNPHs2Owtc3qRHAVJn1OgDRBXLY9/7JK1/5pqhklysvayc+XKjWcZdoBtF9zIqYlx9xpsjW/tmRjoojkbFOKSO8W3Ut1Y9YxWIw1k7BVCd9FwxPDH/7GqxgZDjA9Vxe2Kz2JlCnmc/UI1cDHsV+7Kdk+uy2vCygmifyum8d6MsHNHke6n4o+JofD4ehH1rw6fttPrS+8TJnqvSj5XmMeQy3/FimTZdaQpmWb1J0nFVjUDk+gEWdJf0iXfWCfRzl3em5eBRoQ99mpcLsyOEuWRq3bx0a/1y1H4L/X6f+iJ50VFgrT1E0RLYXg6FTeRxv3tKn6Jsj6PIvXVKlN+lq2pEPWfpMvIFRJ5arzmSWdfK8b20xyzEWkT6vq73W6dREJ204/X91wjfvot17v2SQ7zXw9BBGMVGyVYp5N/RZtm91mENC9p3wQj8nhcDhsWPNPtE/95i9qA9FskenmMo16GK3vv7VRVrMapU51t9lW1g4GYJaGsA4LwsnIKGbxZmW3Un1dh0WcDO/A7d4rbXXv8MZxKDiZJD3PUgV1FmAEs7hMG41Ts1V67Q5vHAdLJ5Onm4soIaAQHggRGOZRxjCWWtqVVc7PRTfhk/6LbYnUU1TD4cZ90vOdbeMU1cAYWnRmHl6Xrovrr4TlSX5a64/ArBR3lcIeItbEJwz6m/enSM/lYyzd16pXohGYtM9lSv16NouT4R0tSyt4X4Tw4CFSjpv0NWSyJIH3fYg4Pfxg4/62sZG95uapjCqWJ3xy7dvs/K1ns0laPz9PKiXaVJ9WvUVhAeU25b6bWrbNvUxGUfq5jl7p6U6Db4UA5buse8F783X88a/dlLTDZwzz9RC/c/p7eOjrr8BnzCgFfWJmHrcdnlXoLQAAIABJREFUOa/U0fnP0zr2ppEqPvEzP4Hn/vbHLSo4ABw6+xpm5uOnyFxJN316nK0jj+ZtkpxedLq6w+Fw9BNrPnWcc93DzxTyCiYVpunhsu1EmKQn50XVDpMAMR2iBOEd3ji+FDypfAJrWneDvDbdGYjTu2tsvs0QWKISvlDfY/zBVZaozcs5WDqpTW+/EtVQZe2p7NnXLMl04my69bHgeMfvyM6Oqe9W9iQTWBGyZHnRuX08OC49d7qxrBqPS1QCgdqSy9Nt0F1/eZYk6FKwRWXKDIFL0UYAML72O2mDbB+btygU+eaAbmHzxoa89Cod3aWwt2Ori5sYWTJkE2ae1q1LHzelGviolLxkgpyta9+dH9XWE/gMYUhtX3UHPsPRX/1Z7YRZdCzVwLd+xZdJyrpLO3c4HIOGSx3PQbXU/a4wVSFF2y1RqU3B7bbKqVJeO51kA2KFc3/ptFZzlj2FTaNSekUp10Cs59sopbJEbV6Oro94W3Rqq0rnzaZbiyZwRPH4MUE0pnSKvCxZXnRuZX1ikgSuGo8mSyvyLJXQodOQTZdfqJYG6L4AzNMG2T42b1Eo8s0B3aII/VxHr/R0p8G3kmdNdqXkGaV+Z6kGPj79Cx9UKuI6TdqU+XoIxuQ6ukk9dcEkm//cRNUuSl3Xpay7tHOHw7HaWfPqOAD868e+jbm6XdCVCp1Gm1UhAbSlRGfV4fRkwFajNNUNs8r2FNVwJtzW9i7fIskqnJ0kPfMJyTRqOFS/T6h7qxR+IE6CPlw60VTaJzGHIVSxAA+xKpxOLVcp1SoNmOviKr18jE3ih5VdRiq4Lt0aAL5Q35O0WfZFBW9TdmyMSp5mc51Y9vsxNtkyrlWp579Tf1A7lvn1o3oqLmpDuh8XyMcUahjFLEJ4GEqlp+cdeyoNWbX84lK0UXwtZ+4R2SUKomPnfZ29tlUJ4mNsEm9XdrZcL6J7lGx/mzcHZO9B56KbkmtMlrpehB5dhH6uo1d6ukthX8ZUx84yX48wHHgYHQ4wM1c3mqgzxF80nXrxHYwMB6iUPGFqdpEK9MxcHbtuvRZPvfQuQiL4jOFXtsT1dKrJy9qZVsVl/WJ7jNmEc5c67nA41hprXh3/1499Gz/4x6uFlWer93VbBzQtX6ZsL5KPWapqFei82GrKJuj6T6fmq9R0IqABhoCprxudBszbaKKX67gS1bBl6UkjTVZ17LY6MUfWX9knoSpl2kbjtVlaIWpbg4AIpZaxPkdlLKCca+yp2q9SsR+qf874izJTpT27lMB0P9myCdVyBNnSjGx/iNqRPS+83UB76nq/69G90NOLqsfp5zGBz/Br/9MHcerFd6yfissUahNN2pSRaoDFRtTyVDnw4tcU1MPOPrOJVG1T7d1p3g6Hw+HUcSuKnGQD9npft3VA0/JlynaFxRqbrc5qgq2mbLqNSRK2ap2e8n3SDNpJ9hKVtAnhvI1FmAK8DBNN1qRNWXSp2bIn5NnJmUqZtsF0aYXsC4ASQ9tYH2ZLxunlaXTtl401j8H4GrdR2rNLCUz3ky2bkC1HiAjatHVV+7PnRZW63u96dC/09KLqGcT+7Qb1kPDUS+/mSiqXKdT77vyo9tWXJlQDH4yhbdJbj8h4kh34TPjhLvCZUNU20dGd5u1wOBz2OHW8YGz1PtX2MsVPpHiLlF9V+VnVVKXNjuAqHqo/2Kaz6pRyPiGWTcRET9VlTxR5WRMt2qk8iTp7PIdLJ7DLPw8fEUJ4hXwgErUPAN6nIWzx3sDt3isYwpIy/byIN7+OYjZRtKephgWUMYKrLWnlj7PjSQL3NNVQxZKiTe0soIwqxR/QO/lygGG5ryIAZ8JtuZY/nAm3tSXWA8uK8AzWtaXB6xhlreNcNrbidHQolecoldou6y5T5ddWaTdZSmDaHlUZt3uvoIolNGg52V2kIZu2Q3U9FK1hy7DRqtPbzqCG+aiMUXa1K3o6MFgp7INAHvWck04I50+277p5DA99/RWj/cdGqkma94c2VPHiW9MtivipF9+xas/uW6/tKHVcpYQzwGneDofDkRM30S6Yaaphg2CyOE3rhNtfpo3YLPjwM03rWhS/zWwSR4KvYEv4Bj7tf7vlidwGNoujwZeBOto+dMnKZ2y5TNTl28VlbIjXby61ln2794p0H15HRBBONKao1jbJPhJ8RTqJ40/V+QfLg82fj5f3StuwwxvH2WgrDpdOtHwpUEJUeMI8YfkJ7gY2i/uYfl37ZdqAYbaA9ZYTQhFcKd3AZjFHZTxUfxBAq4Zbaq6p3cBmpcc/g9ZxmieJW0W6T3wAv+4/h4vR9crJQrYNm9kk7mbPC3XXs0tbtWNJRnacy8bWBLWrutk2es2+3swmpdfAZdpg2C75tSk7jk72M62bj7kSopZr06YMUf2ibU37qhNE44zfH0VKfXrb9ZjFHOLrrpsKtug+bIPsXPSif1cbEzPzePgbrwJYXos8NlLV6uP83d933TyWKNt80h8S4S8uTmBkOMD0XHvquIixkSq+eNeNwt+ZTow3SdrtVHGHw+HojDWvjhfdAaqJogiZDihLo97ln5cq3nm0X64NPtq4R5hMvUi+VE3UlQ2I1+QC7f1hormKFEcTNXeXf76tPpMn8aaINGmTxPFHG/cUMuG30XB17cu2x+S8iI6Bf8miQzZudW2wXY6RpiFIYTdN/5epuqo6O1XmbZLI0+XKFPs6tZ98vtzBpG5ZCrnsfJi0X5W63u23K3BsxtmgKtgr2b+DhOl3dFmN3EQf5+/+BuTp3kTtqeOBxxD4raUXpXOL0sGdKu5wOByds+afaBcdBTcieTo5AvFacK4DHiydTLTpWP0VlyNL+gViHfytys4WbZUnmPPyZYnF+0un8VT48ZZ0Y5WSzrXJoaY6yttl+hRxFLN4u7ITQHwOTD/YZJX3s9FWPA55cvdblZ1WmjgRcDK8oytJ67FyzFqUz2NMnoCe3g+wU7bzJmiPstZxqitH9UUBQ5zyXUH8QVLWfl0dtssrZNsTAbNUwe82PoMt3hstSwlECrtI1eUq/jF2vCU9W5VAz/tiimrJtTVvuBZcdJ1N0Ea8Rf8C/8r7fsv9IHscqrccpO83PHUcaH/7gU0KeTZlXvW2hfTyD13qepEatkoNt9GqB1XB7kUK+2qAAAwHntHbSNLatak+PjEzj+sOPCP9/MF1b56uPpbSwXmCd1rnTieG59G8s+ng3VTFO2lrp8fpcDgcvWbNp44XmRQK5EuGFem5soRmWdKvjDkq40y4DXf7z2ufTJqmz8qSa/OmNuch3VabFGod/DwVWWa27DTdqAeIx8801awTzbNt1LVPl66uSnBPt1WVwC1rw5WohipbahuH81QWHjc/trzJyybp2TKmqIYhtLdVVaesnarrOW+CtE2fqJLU0/esfkuz1h2jzb27V0njjpVlXdnH1SV1SNhINcArB/9N8u+iP1PIUs45osRw3T4rRSdtHaTjdDgcqxuXOm7Bvjs/Gr82oyDyqHkiDVGmm54Kt1vpxlw3N1lja6o+yrRJUWrzIvm59WjVfum2mijsJkQEpXa7SL5QrzdBNgY6bXuDPKk6L0qL54iOxVSfzm6v2sZkEqpL4LZdXiE67vSx5dV+TdKzRcxRGUTitqrqlLVTdT3n1Zdt+qQInXwl0B2jzb3bKdhrg7mlUGtEZe8BIg27E2Qp5xyZfq7aZ6XopK2DdJwOh8PBWfPq+F03j+HMhXfwwg+nCinPRM3L6osyFZPrpiO4imlahwpr4D7/Wes2qXTzLDL1Md1m2QePbGozP/ZjwXHrlG+e7Bw2dVlVQna2z2Vp0ToYgD8s/WmiBeuSrU3qIUKi8IvSqXk9tqo67x/VuU2nxY+xySR1nCuz6WNJH19W/z0Tbks0ayCuN4KHKpbX9x+oP4DHg+O5dXuu+U9TDYzFSzDSanZWnebjSgTXs2Vp2HmS/lX7ZSGKNW4fEaZRAxGkpgc/blHCtaw+3fUsuoZVbyrY4Y1L70GiskT3uCJVapvkbxt0bbTRqgdBwe5WP64lTL4jnp6r47oDz+CaagDG4n8X+N09gOWUc5EyLnt6rkoS7xY6tVvWJpO2yraZmJnHTYf/Cod2iBPVHQ6HYyVZ8+r47z39Kr5q+SqNTrDRxIFlVTSbNG6DjW4uUh9Nk6dl2mSnerSsf7pVH0envprUk21jL7V7W41V1LYlKoFAqLDlJwlZXZr302PBE1bLGkyQ1XU22orvVvZo+0x0Dm1VdNslCleiGrYsPWmd2J5tq6w+3fUsGnNfCp5su38sko+vhZ9QLivhx6KjKJU6r9ZvwlrSvbvZj47uEHgMdZMEScTK9K9sGcNfXJyQvv+614nhJmq3TKs3aatOyQ88hqN3/6ybbDscjq7j1HELnnrp3Z7WZ6qJc1RJ42lUKcSnwu3C9OFF8tu2tU1U1u0LQJpoboptarMsidwWnfqq075FbbTR7mUJ0SakNXhTRG0rs0bLJBuQp5yLljV0+j2erC7TsmVJ9TYquu0SBd5mk+tG1VZZO0XXc/r3ojEne1OBblmJqaFQlErdzTTvtaR7D2oq+monmxqexnSSDcTK9FMvvSudZK9EYriJ2t1JurlOya9H5DRyh8PRd6x5dTzs4RN9QK2fyoKVVKpoWlPlqmyU0Vbv9Z/FNNWaaeZXhRq0Sn1UpThzFhB/gE3rijPN+kfZLGZQQ5nqWIfFtnJMPswzAO9HFaxjS1pNc4v3hpGqbhJkpTpfWX10DhVUsZB8ezXUVKu3RG80FXSVdj+LPwvvaEnCfir8OC5G1+dSshnifrB5epU3qRyIFeiDjfsBoOUYbJYtmMJV31FDAyCrL5+NtmJL2J46fq9kWUZaKTdJ2edvGMjTn+m2qvTki9H10iUB2XOuaofu/MjelgCIl0BIk8QNy1Ap7CoV2kST7lT3HiQVe1BT0VczPDncJJXcBNVnl2xAmEjpBopNGTfRwjtJN+fbqPpvJXR5h8PhULHm1fHrHn6mkHcZm6LSFwFxerNKFZUl/QIoTB00VWYXyQcDkz59F2nIKm0+C3/1Fp/QiThcOmG83rmIRGyOShM2qYcIWILf0jd82cC9/rO51vyZ9FeaTpR7WT91M73dtOxO9X1ZYngEDzW2INz+5xafzHXs3dCYVYq9rYbOKUJNtllG835Ugc9IWB9Q3L3Opq39rGKvJU1+JfA9hg9USslruHSk1eiiU8lVdQFipTvwGMCAerj84afTBO9OtPAi6ulGXQ6HwyHCqeMWVEu97QKVvqhSRUXqtSrpt0h10FSZrbBQqbiLNGSRFi774oOx+Gmpil3+eeOnv4zp9WNdIjZHpQkbPbFnaOsbvmwgb7COSX+lEZ1n0RIDEbJ+6jRVPXt+0qqvqGzV9hwbfV+VGF5F+yQ73QbVsdss3egU2RiPCNYaOqeI+4tsGY2I4cza+XR9vdCkB03FXkua/EoQRnEQpkm6OANa1GiRAh34rJC3n2TrAsRKdz2ilkk20HmCdydauG09IgU/8FjPdXmHw+HQsebV8fl68WqrCpG+eC66qUW3no/KGGVX21TRbGqwTJ2N9UDxp+sxNok3K7tbFPNsKraqzWNsMneytIpL0caWBGNZFTrVNY+qnJ6IiI5tjE3iYnlPktIsohPtWoXseIiARQSoYPmJiumygx3eOA6WTgqfck5nxt+56CZ80n8RZZqV1sEZY5MYL+9NksJtU9WJ4nHNWJwcnl4SwRVvruOj+X3OAsqoUjwBmqIa/jK6Vagvm6Tmr2ezICCpb4pqqLCG9Gmw7Cu6UbasW6fbF4HBAyGEhxIamEMFJYqSn50JtwEALpaXn0BPo4ZD9fZxZ6Mxy+4TDMDBxv2Jhr6JTSrvCSZ9aKMm21wznuR+prrXFalJD5qKPQip6IPO9JzZ02wCcOjsa8m/+cTXZwwhUaKUA2otemykqn0STkDbE2kbnVqWbm5CJ1q4Dby8w998LTkHI9XApY47HI6+ZM2r4zcd/itj/asbdKIk5tHQZXRaZyekdcYd3jiOBcelT7Ya5OGnF78qLevNyu7cydc6xXuRfOyrf1bYR93oFx0iFT9Ltr92eOM4GnxZuY9KyTUh24+L5KOMUDvR5uNAdE2IyswuU5CNYdv0b16+D1KOpZAAUbbRlSh+dZZJgnuaJSqBIUTAqO3nX6jvaVmPbHPPKEIj7vTNAyJsrpmQGHzW/rdKda8rUpN2KrajUzwAvs+UurZMi2YA/vjXbsLRb72unGyL1GkbVZ2h9WurTnVyh8PhWI10RR1njPmMsZcZY3/Z/Pd1jLGXGGM/YIx9nTGW3w9dQbrxdNaGTpREWw1dRSd1mmKiy+4vnZZOsqmpuqoQJV+bohsLFRZK+0jVL936Lkuk4mfrzfbX/tJp5T6AWsk1IduPFaafZKfHgaheUZnZZQqyMZznOCosVE6y56iMeQwJf8eYeYJ79vfZSTb/efq4bO8ZRWjEJn1om3QvapcseHmOytZLborUpJ2K7eiUCNDq2vvu/KjQFiHET4pVydsyTVuX1s3JTrJF7XM4HA6HHTbq+OcBfB/AP2v++z8C+GMi+hpj7AkAnwHwvxXcvq4zY6h/dQu5khgr3j4iRGCYozLWsUVMN9XaEcRJ3hFYMpGbolqr3mype2c1SKmealEuEUBgRknnO7xxaepwNthL1jb++93+s/AgnjybhJPJ4Hp0tt5sv6SToGXHJDvOTr/84Un0p8LtbUFoprquSZv5uOukvUSxUp1WwjvR8EUqryo1n8DAQFbHQAQcqD+AY8Fx4e9HMWuciG4KH3ePNu5RJnOLKEIjNj0nNmWK2iU7Nn7vqyKe7Lcp9YbHlzc5vLWtsWJfTY3ZlVSyBykN3dHORCaVW6aPT8zMS383JtG0edq47DVgaWTfB7skb4fD4ciPkTrOGNsM4D8D+EMAvw3gkwB+DOC/I6IGY+wXARwiojtV5fSjOn7D7/9fuLqk/yPULWRKYp4Jl0wfzZPObKKnmpRrqlbqlGbbtqna18lkVpbyrvpga6PI6lKgTVD1uWlbbNLgi0SV/m0CT/xOo9J+H23co1yqIMI29bxIlqiEEhrC9nZTYy7yWs9TT57rLku3ktJXMn2839rjsIdr4Tp9XIZM7xaljcsYG6kCQE9Swx0Oh2PQ6YY6fgzAfiBJVtoAYIaIuLt5CcBALuKZW8FJNiBPTs4zEZTpoya6t0jh1umpunJt1EqV0pxVUk3VWZmaKuvbBnlSdZXvK0t5VyFqxyL5bUnyPGFel6TNyZNc/WjjHm2KeKeT7Gx7F8lHg8xuNbL07yyy8yTqK5X2K1uqoErqVqWeqzBNcFdRZuJJtq22bUuR17ptPXmvuyzdSkpfyfTxfmuPwx6uhXNMVW+OTO82fZLN07p7lRrucDgcawmtOs4Y+2UA/0hEFxljH+c/Fmwq/GjKGNsDYA8AXHvttTmb2T1Ml89m9bxssrKNrpct60y4rSUp2UY1zrKJXWkpn6vmQ1hqSW/WpY6bpOxm1c9pWtfU2q8K9U3erjE2mSQwA7EGytPURTAAfxScwB/Sn6LGFpXHnsZGTSUCfrv+7/C4RAdWiR/ZPs+OB5FWHiDENNVQQQPrmq+JmqcyLkbXp1Kgr2AG6zCMBVSS77RiIjAEzejtkGL92XQczlIVZUl/T9DG3Oo2Tw2vsAbW0UKzrgrqLMAIZhFSfM51XyKNslk8VP8cHg+Oy9V/yb7r2WyiWIv6P6sWH2Pi861if+k0HmfHk+uIX1eAfKkCv8b4/tnrxVZfF6E67+nxafq2gbayU304g3UgQtvbEUTXwfIxm90756ncoojL7g22id9FJIf3W/p4v7XHkY+JmXnc/Ad/laRoVwMPo8MBZubqRp9RLs/M4+mXJ1qSuE2pDcUfA4tIDeeqenp/oHcJ4aL6XZCbw+FYSbTqOGPsEQD3In6hzhDiNdr/J4A7sQrU8esefkYbVmWSgmyq65mofp0kZ1+JaqgK3jlr286iU3Z1qcVFrE2+EtWwZelJ5Ta648qT5C7qc1E/244j0famydQiOlXudbwfVeAzUh6fydPyiICH6p/DY8ETwuugQR7+ntYr29itFH1Z+1XJ6ibXTKcauqoO1bVXpGYsqkeUDi8b80B7yr1qKYHtvaiIe1q/pY/3W3scxRF4DEfv/llt0jgAjA4HmF1stIWtScvWpJ/nQaSqBx5DhPi94y31N4+tyEmwqH6Xmu5wOLpBoeo4ET1MRJuJ6EMAfh3AeSLaBeA5AL/a3Ow3APyXnO1dUaolvdJqkoJsquuZqH55k7PnqAzGoEwHLiLRPA+61OIi0t9NytAdl22Su6zPRf1sO45kydUmydQiOlHuTcbjsOALnuzxeUyufae32V86LbwOeJK6TmXuRoq+6ksCWbK6qdJt2o48ywVU116RmrGoHlE6vGzMy8anaClBnntREfe0fksf77f2OIqjHlGSNB4ovp2sBj6I2hPNlWVr0s/zIFLV6xG1TbL5z4tOMxfV71LTHQ7HSmP8ei8B/x7AbzPG3kS8ZvtPi2lSb5mv658cm6q0Jrqeiep3sHE/ToZ3GE+2ieInGAfqD2BEoWCr2rDDG8d4eS/equzEeHkvgDhZ+VK0ERGxpPzsE9r0Pju8ceHPVMddJCO4qt3mbLQVZ8JtaJAHovjp6IXoI9hfOo23KzvxWPAEhrCEkJqp1AQsoJzsK+oTWZ9nx4P5OJq02p4zxiZxsbwn6XNZue0/b1ful48Tyfpq3Xj0DBdiMCz3razMTexKch2kz9V3ohtwu/cKjgXHsYAyrkQ1aRljbLJtHGbh4yEkJi2HX195vwsyVbMP1B9QtuFKVMMX6nuwr/7ZtjG4xXsDb1Z24+3KTrxZ2Y3DpRPJvrqlKEVdm52mxcv2H2WzWEA5GS9Xolqup/Cy69c2Kb3TMmyQ3U9Xqj2O3jIxM48LP5pCOfNAgN+LxkaqeORTN+K9+c7fnjLR1M/zYptOnjfN/OmXJ3DbkfO47sAzuO3I+aTNsvJcarrD4VhJbF7vBSL6NoBvN//7LQA/X3yT+o/LtBGbDT5EXqYNucvK7nuwcT9u914xqneCljXB/XTaaJ8d3njLa7XSyuZmNokjwVdwoP6AsY66mU3iS8GTIFASasbLQd28DzvBpP93eOO4238+UZJLiPAx77XkKVsJ7V+8rMdschxno604u9T6IVbW59n22PTBDm/cus8YAzawWRwNvpy01aR+Ub+djbYCjXaVV0UIT9h/onbq4G062Li/5ZVu6fasxyzmUMYU1bBBoBYzFn8gTY/DbJ/s8Mbxaf/b8AWWAIdfX+PlvdZj+DJtNN72bLRVOpYYQ7JuOTsGD5dO4D7/2ZYxfJ//LADgYnQ9CPI17Zz0/SAvnVzj/HzL9k+r47wf8iC6fleiDBNk9+XsOO5Vexwrw1dffKftZ6WMem2il5vw8DdeBYBcqvWmkapVGzY1k85tyOrhEzPzSZtl9eepx+FwOIqikyfaqwKTZ3AmKq2prmej+uWp10RB5WouJ09yrUxrziaH83JsE5ptWaKSUf+b6NsiVP1hek5N+4Cfn7wKd4WFxunzqnGr0/3TRE2lO097s8jaJBunjOlTymXnb3/pdJvaLGuL6vzJUuSL0Js5smPY5Z9vG8OMxT+Xpaqnyd4P8mKari+7h3UzcXwQcYniDhlZ9XrfnR9F4He+/qoT1VqUWh54DL7gBsSTzm1R6eEuNd3hcPQjVk+01yqi1OLl5NwrwoRtm7Jk++apN7uPLM04rQvnSa610UQ3sStJuw4FJ1tShE3XZhPFCdai1PFp1HCofh+AOBwom2acTkLu5KMIV5FFqeJbwjewyz+fpLpfiD6CQ8FJPI441Tr9VNEk+I33WbZcD5HRMWTPHe+DalOL59+wLaCMLd4bwsR0WxX4YOP+lsT0y7TBus+JkARjpc/luegmqQI9ilmcDO9IrgvVmM+mYqu0aiLgTLgN+0uncYwdBzWT8vlEMcJy2vu56Cb8iv8dBM10+AgMZ8JtufTmLeEbLU+os8eQxZdYBD6iQpe96JDd24DWpPV0Kv0U1XC4cV9ynS6gjCotJb+TvU99LaRqm96XVW88cKxeJmbmcduR8/jEz/wEnvvbH1ut0VahUq1Vqd6y1HLALHXcJDFcpYcXkZpugks2dzgcNriJtiEiPe9ggWUVWW96H5numtaFbZRi3T7ibZfLqWEhV/AZfxWRKJWYT7JFmuWW8A3c7T9v/GRWhUxF1unogF7dzXKZNgjLNX1CnO7zrIKa/s5/PWZbJnV5dX+uSGfHq61uPY0agPZzeR8TTzyB+Lzc7T+fTNCPBceF/T2DdW3lRopXhU2jlhk7rZ3fIA/76p8FAHwpeLLlybgPwq/7z+FidL3VpIefc9mxiq7JCK3nNP3zvytw2YsJsnvb2SVxij7XwGW/m0YN6wUZCEW1t58xuS+b6uWO1cnEzLxQLe8EmWqt0rbTk23RpFM3ETUpm7dNpYfL6i8K03Y6HA4HZ82r46sdE104T3KtaB9dIrJO05XBk5tVKqXsd7v889pJdh69WZcO3kmKOu+zvOUukt9y7mwT3211f9VYebRxT9uYUEGUrz/T40CkSkfNIK1suR4Tn/9F8oXbp+GKvmxcyxR+FapzJevneQwJt5/HUKHLXjolz/VbVOL4IGJyX3Z6uaNIGCBVrbuZ6m1a9krr4S7Z3OFw2OKeaK8g3VL+suWeCbdZ6eYmKnx6nzE22QzCamCaariKOAGcq+5cvc0792TN+o6x48LfxyqleLYs02qJAALDZdog1Yf5NnIVOV86eLp8TtTUkkN4GMISDpZOSrVZVTmzVMHvNj7Tcu7ytC+t+z8eHBceP1H81LSKJTweHE80eQCJ5p7VrdOIyhxlV1uWFtig0sAZ4vRqEQRgmmpJvVxnPhaIx5tpnYC95qsai7I06WEsCPeVtAmtAAAgAElEQVQZxmKhy15Mj0GGWoUWX7/r2SwIsT3gI0rMln56WlvkfVx3707fT1VLH9aCWl8Eq1m7ZzDLoElDAB76+is4/M3XcPCTrXp3N1O9TcrmyvZ8PYTPGEIijBWkbpvq4C7Z3OFw2OIm2itEt5Q/Ubl3s+e1r3zJk1wrSqbewGYxR2U8VH8QgF1qtYwJ2ih9PROgTiyWPQmdRg0/t/gkALnezNOmL5b3iFOtgZbXKNkSwsNPL34VQPt5E9UnI32MfuajlarfVPA+VSVhEwBZ/s5y+rj4o55M2dalT6tQPfWeoI2oYkHYr9NUw5alJ9t+fpBOas+D7km7jearGksTtFF6/eoU4yKXvXRy39K1U3b9MgAeouRpbj9NhIq8j+vu3aLf664jh5zVrt3vuvXa3Fr59Fwd+/78ewCWlehupnrrys4q2yFR8iS7iEm2qQ7uks0dDoctTh1fIbql/PVaJbTVQVWokptVSrAssVhF+gmrTtFUrQ3e5Z/XpjrL6j8Vbk/+bdtXMrLn2iR1OovJ0gJRGrQNHovLENVrojvb6P68XNV5tPm5KSYKf/p8idLDgfhYbZdxdEuv7uT+omqnyfXbj0p0kfdbXVmi36uuI4ea1a7dP/XSux3tXw/bk827pW3ryu4Hbd2knQ6Hw5HFPdHuIiotLU/StwndKjdffeLZUHqSxP+T9w8gVthl2jhDHH7FNUtZWnOWtEasU+dHFCqzTE0XsZxWDXw1vCN5PzRgpnebpJUDsX7M34tso40Txdr0X0a3tuip56KbWtKgTd7LbAIDcCnaKFaYMwn1s1RBHUHLkoRf8b+DdYhT6GUTVK7i7y+dlirpo5jF25WdAJYT7M9GW6XnnZ9HWZ1Aa5o2R3Wt7PDGlWPJdBmHqC+L0mN3eOO5VeV06n2D4mUFbW2xfFtCPyA7p2NsEuPlvVbnQXfvVl3L0uvIIaXXfyt7TZgnfCRD+ultJ6neXM2emJkXat+8jENnX8PMfJxOPhQsPwfKq2xnlXCe0J5uv03ZvUo2dzgcqwc30e4SOi0tT9K3Cd0qN299Op17nsptWrtIYZfVk04Cv5s9jymqGWvXfDIKqNV5Vfp2vDbdbLLNVXTbOjimT1gZQ67kcMaAD2ABv+4/l7wPXZT4XcQkG1D3BwAMYSmp9wNsEXNEeKj+YKJZr8Oisk8ISBLbVZptuoz1mMWXgieVfTfRTFhXLTcQISuPp6HLjiU0EI9k47coPZaXY5OGLmtDSaKB274toR9Q3ZfSfQ2I34qQPg+6e6n89+rryCGm138rBxGGeLKqSxVXIdK+AbGivdhY/ls6PVdPfp9H2RYp4WmVntd/TTVIJvcmZXc72dzhcKwunDreJXRaWrd0z15qpLr6itRBTctirD2lWITHYKwIypKzl6iEU+F26/R1WR026jtH9tBClRwuah+nzBrJJJvTqUItQtcfeTVrjkhtF2m2IsqsIe071djOc47nqKxMN88uMbClKD02Txp6J23o9X0sL7rrVpeqnu4D3TEPSp8MCq4/9RDQsZ4tUrM5aUVbpXDnUbZV9abLZwxOB3c4HF3DPdHuEiql8O3KTkxRTZsGnoesRjqDdSCK9er9dDqpQ6Ux7vDGW7RdkQYrrm8SDHEK9WPBEzgVbseB+gMGOmisWWbbokrglZU1gqt4qP5gSxq6j6hjDfUqqijTbOrfFSwhwL3+s5imGhZQxgiuJv09ymalScnp45qmGhiL9fQZ1FClJe3ENk5DB6LmscmUcq758nMwxiYRAQjQSMrpxiRa1+70MgF+3tP9wI9LhE6zTrRuRTumUgnjsuNPp67/UXAC65rJ3hUs4Vf9v8aH2T+oNegU6fM9hwpCWk6YPxNuw73+s9JjOZlZYmCLXI8VX3Oydsv6M52Gnr1eebq5TDcfY5N4q7JTWH+eNyGsBNm3L8jvM+JveNL3IN0xD0qfdINupIOv5f60wSRRW5Xarduf/16lcOdRtk2TwKfn6hgdDlApeXhvvu50cIfDUSiMCljHY8ott9xCFy5c6Fl9JnzowDNdKXe8vBebPbWyu0g+9tU/27U/7FllE4i/sT8TbsPd/vNtPz9QfwAA8KXgybb3Auvaerh0om19dHaiIOuT7NNHXRvPRlulZV2K2jVKm22ziPpwkXwwsJY+MmmzrDxVX4i4EtVQZUtG4Wn8vAHA0eDLbU+re0m6v3X9IGOKahiC2bGLMO073lbZuGaZ8SpL9dcd5xyVMU9lbPDalzuYjE8dNteczTjNtlG0vc0XOao+HBRU9xkAue9Bax3Z37FBHy+DwthIFS8ckFs1WUUbiJ8IP/KpG3HXzWO47ch5ofadLV+2na5+Gbp6s6Tb7HA4HCoYYxeJ6BaTbZ063iVMVOAKC7uacCrTFXf555VJ4dlJtklbRSovT+XmmKZX69ooK0um/XWiCIr6sMLCtj4yabOsvDQ6vXmJSmBMrhpn4edtf+m00SS7W9+78XR4Tp6UdZ1mbdIGk75bolLSVtm4TqPSoHXHKVvuUJTCanPN2YzTbBtF29vYEqsh7bnopQaOmNWeDt7PmCjUutRukfYtKr/oRG9VvSKKSjF3OByONO6JdpeeaAPLuptMKQTiiU1WLTYt10T7liUji34eEQNA0ieqETF8ePGU8HdvV3ZK6yIgUYNHMYsIrd/w2LaRt2G5H64kSdSxWt6uoB8sncT6ZkhahFjdnUjprTIl8a3KTuPXWMnazNOvue5sooZP0MY25ZYA/Fl4h3GyOkd3XuNzxHCZNmATmxRu16lmHhHwUP1zLSqyaXnpa+RYcDz3a8X4WJQdHxCnjn8zvDUZE6btzGrxfNw9Hhw3Ot9TiTp/1VhhTd8HuG4vupdkxz8kx5S+tmTjno+V9BKJy7RROm5E+5vULztOU0Vfpxdn+ySdNt8Jh0snsMs/Dx8RQng4FW5PjJ7s/cppymbIxiIfL93Qyh3tDAce5usRRoYDLNZDzNX1IaA8WfzCj6bw1EvvtiSh+4zh1g+P4r9dmU908OGyhx/849Vkm9t+aj1O/eYvWrUzrbGPDAcgQqKE89Rx2ZNuBuDtI79kXP5AauZ/cxo49wfAe5eAazYDt/8+8C/dF34Ohw02T7TdRLuLE22OiUZuqsKpNDpArH1naZCXpDGnuRRtRBULQo2V/16mOb5Z2S0ss2hkbbDR5NPoNGCTc1c0szSE/1C/X6h68/W9NpNelbrKf8/7VHa8sjFjio3unqd9puUA8n4wGS8m5C3HRodVqd0iDdzkvmDSz5eieCKTrdv0veqqe8yVqIYtS09qj1PUTzZ68Q5vXHhtLVEJX6jvyT1Jc4pzd7Adi67P+4vAi18NUg/zfdbcfeu1+OJdNxptq9PYOXk1ddPy+5a/OQ18cy9QTx17UAU++Sdusu1wWODU8T7j0cY9WCJ17pypCqfS6GTad5o5KguTsrnGqHryrtIcT4Xbu6Ydc1SqpY0mn0anAYuUz0XyteezE6pYkKrePrObZC+Sn6irsuT0dJ/KFFfRmEnXoeqPOSpb6e7ZfXXta5CnHXv8OFVLOkzGC6DX603LEe1nqsOq1G6RBm5yXzAZB4827hHW7TF9v+juMaKfm2rDNnqx7NriafN5cYpzd7Adi67P+4t6RLkn2QDw1EvvGm+r09g5eTV10/L7lnN/0DrJBuJ/n/uDlWmPw7EGcKnjXSKrsz0Vfhyf9F9UKt2iFGyRHipClWwLLH8IXkA5+f8qxR9Q0qnix3BcWsYW7w1pYjnXI7k2KTtGVftk2jUgVjtNUpFl/aUimwS8JXyjRQf9WvgJXIyu1y4LyIsHSJOabSACygiTBPh99c+26bLfDG/F/tJpHGPHE71/qJmmLVKRd/vn4KXGGT8vwHLyMlfzgeWxdSwQjyvVeZctqRCN3S3eG9jtPyv85jACw1Phx5fLqUOqdOvSzEPFNWhSTrq8TpLwZWnionJU26b7GUBLErnsrQjHmPweIasjhIchxBMgfg/MMoKrbT+Tp6ZfybXdDm9ceW2lt7dVkk3b0CtWi1KtSgeXjcWV6vNBpZ/HSkiE33v6VTz3tz/W6tqypPGJmXlc9/AzLV8GDgceRocDzMyZJ42rktEHgvcu2f3c4XB0jJtod4GsQriZTeJu9nxrYrbgQ9ll2qAsx1N8eJ+mdRhl4g+wwPKH+vWYbVvjW8XyE4HLtFHYNsaA+/xncR37O9zi/aDl2I4EXwHqwMHG/cmE+2J5DzYo2pMlhIeS4Ph4O4eo9amFaSpynklw+jzs8MZxt/98ok2XEOFu/3lcjK7Huegm3Cd5NVMnFDVx5+WUECXtTKu52T5Mny8PUfLUiH+58mn/2/BZ65c56yj+gHE22go00HZO+NiSjSvZeZ+g9iUConPOyz/YuB8Xo+uFY8IHJefsbLQVZ6Ot2E+npeNcRLo9suvX5Lh0v8/eA2RMU015faXLkfU9sHxcuntWa9l255KA5PrZzCbjUDpNm3V1Zbc12Y4fo+r64tuL+oPf52QTENO29oI87e9nzkZbcXapvd391OeDyiCMla+++E7y3xMz83j4G68CQNvEeNNIVbr+OmvczNUj1CPCH//aTcbat6z8TSNVo/1XnGs2A+8JDIFrNve+LQ7HGsGp411Ap7OZJtCaJjNzNdc0JEqlS6vUWsaAj3mvGal6dmFdUKrJojrypFaLaPvjmzkPqnMpSqReCUyU/WwCPGCWiM373CSNXtVXNkq6bImA7rqy0alN3goga8+jjXuUyfA61d72uEWoxp2ovSK1ny8rAOy0Z5tzKVq7LUrW7/SNASbb6cZ7ehlFHiW5n5LF14pS3U99PqgUPVZ68SdRpmvbJo3XQ7LSvotORu85t/9+vCY7TVCNf+5wOLqCm2h3AZ1CeDbaigP1B3Ap2oiIGC5FG4VPjnR6KBGSfUckOqbpuulNbDLRx6pYsl5vnVX1ZO0RwQBcjK5P+kRWt4kOS7T8PxMIUJ4HWT1jbNJYS0+3aZaGMEsVuzYqtrM5T9n26sYXEB/nxfIe5bab2CTerOyWKrmb2BXhmL8QfQS7/PPJeEuPZ9GTFNW5+G5lj1a35+MnPc75+m5ZPxIB81TGseA4Lpb34P+r3B9r55I6iIAD9QdwsHE/LkQfaTn3Uer4LkbXY775ujKiOOSu2lSrd3jjSXk7vHGMl/fircpOjJf3Jr9TXe98eUj6WEtoICSW1HclquFr4Sewv3Qab1V2Ks9dlrPRVpwJtyV91yAPZ8JtONi4HwfqD2CKakk9qg/dousue7wAUuMmrkvUT6LxdSbclhwfV+JlfTZFtZYgtDwauO6+LjuX3aDfNPZuYfq31CGn6LHSSVRLpWT+kXRiZh5PvzzR8rO7bh7DI5+6ESPVwKqc6w48g9uOnG8rLwsvf2ykCoY4PG1ggtCAOPDsk38CXPNBACz+fxeE5nB0FaeOdwETnU2mwpmUwyEgUXtlKqwpDBAm8ZpiqnIK62axcnyg/gC2Lv2JkVovK3+K7NKtLwsUZY7qg7DNk+z0tmVqgCHMvb+IadSw3uCLjSgz7TE5R4zFSrnqCS4DlInk/Lylx/zh0om2JQxEwLnoJms1F0DLq6tU7chqkiVEyleXEZAkZJsshZigjTgbbcXh0gl8zHuttdzm8QHtir3f/Hia1jaz26V/p1risR6zOBJ8BVvCNzLJ59TyhgKTpRciBVe1nAKI1/jrxqzoupMprAfqD7SlS4v01vT4EpUl+zJlGjX83GJr2nleJVl2X++1nruWlGqTv6UOOf00VhYbdpkqMoXcthyCWklPc9fNY4MzsRbxL+9xE2uHo4es+SfaNt+gmlKUzqbTWz0GpfIdaQLG0jAG7SSbCPhOdIOxyinSVWUfdm3Vetk2qnRrnSaeZX/pdO53NssoswYCJp+12poErJn2bKJBZ7fRKdBpZKnSuvdry/pYpN2L9HaT9pp8aaFKKZbtb/rKqmwdgPr4TJV9WxU/u50o+VxVtup40ujefNCrclV6q815Fo3ropXkXqvcTql2mDLIY0WkkIuSwTspz+FwODphzT/RXrL85tMEVUqqjmz655lwG37ZexHr2azwg+IYm8RblZ3ClGATNVhH+kPoVQzhz8P/GW/TT7akcJ8JtwnTwLmumk6g/svo1rYnmeljGS/vxbnoJkRYfmVTBLTVIUoDPxNuw72ScDIi4GR4R1uKMrCctMxT3XkKcxH9Z0Pe16ONsqt4qP4g/ig4gXVYACCeVNTYIsbLe1vWodp+jzBFtSQ1eopq0ifJPM36XHRTkmrO02wBeSq3jwhvV3bGZSB+Wp5OH1el4qvaYZuYrdOes9vyVO1DwUkcpJPK4zNV9mVwFZ/fY2TJ97I2qMomAghMec+S7a8rF2h9w0EW1dIA2aUh01ttrt1R1p52nr2HT9M6MAYcC45jP522TmXutcrdyd+gPPRzarVDTa/HStFMzMzjQweeKay8gUkQ7xFPvzyBo996XZv47nA4xDDq9suPU9xyyy104cKFntVnwocffsb4qV63EaUqL1EJBDJSurkWyv9Ajpf3YrPX/gFP9xQyTfapnqg96XpFx2DaLlX7FsnHvvpnW9Y7iuqZp3Ki+qa5FJmlWJuU1S1sn6Bypih+TZfsC4wsNmMqjagP36zsFmrjDfLw2/V/19a/i+SDgWnf65yFj6H9pdPKsaNrs27scTq5RlQ0yMPf03ptG1Rlmh5Tgzyl0m9SdpYd3jiOBcdzmx7Ze0Ea2XFEBMxA/KWOrL2m51lVBsfknqZD1h5d3YNAEf3jcHSbsZEqXjiwPfn3bUfOCxPEs9utZZ5+eQIPf+PVFkOgGviDtS7d4egCjLGLRHSLybZrXh3vl0k2INYLy6xhPCEySVZWvbd4kVrTNEUf9kXt0SU/2yY+i9qXTrdW1cNYuyJto6rqyhJh810VEVCn9gOknJNsvq9NArrNmOKkE6rTnAq3tx0/NVPkRf1bYaH1JBtQK9Oy/k+nSHNM0sa7Ncnm/aJrg6pMm8RtXZK/SdlZOl1OodKlZUsD+LIFG71V1CdLVGq7x5kec6fa9yDruTrWSsK5ozcEfvG55aJk8IFPEO8BIg3f6fUOhx1rfqJdNJ0ky9rojrLJBdc3uco3hCWEhkncXws/kaR+N8iz0oq5AqnSP0VJwjaT1HQZsnpGMYsFLKc5E8XvWj5YOtmW5qxLqR7JlPV+VEkSlXnicticNJumnROA36k/iCvRcjLzFNWkaiwRsBQxZdnr2axxAroN6YTqtE2Q5mDjfpwM72hJoD4Z3oGDjfu1/ZutSwcfY9lzsohSS/+LUqR3eONJYng65TwP6XpMrhHeL9+JbsDt3is4FhzHAsp4P1pOnw+JJankqnJkTwnTCeZTVEuSz9Pp4Lr0+gvRR1pSund44233syLuUSpdWtafo+yqVbq0KI36C/U92Ff/rHVCdSfaN++/Y8FxzFMZU1RbdenYayXh3NF9RocD/PyHRpXb+BZJoqpk8IFPEO8BMo3e6fUOhzlrXh0vcm1Ppwqdje4oe+oWEfBn4R2ZtGEz5qiMM+G2XPtyBdLkGNJ9YnPMaWRP/VRPA7l+DpglLmfLyiryXwqetH46a6u6XonsUtSLpBOtVZQqrsLkKfIU1TCE1r4wXWbwWPBEm0Zt8+S6Ey5FG9tSs0X16/R40+UPtsnisvaIlhjYPMEPicEXBP9NUXvKt2oZB7CyinVe7XutKNWrWYt39Bdc6775D/4K03N15bajwwFe/v1/06OWrU6cXu9wiHHq+ArRqUJnqjvK0sSB+EOwKG3YBFlSsa49aQXSRM3VJYybfPfjsXbtXzcJ4Pq5STKyqKysIm87yY4IVqqrLkVdRyffoanaaoJMZSdCWxr9HJXxnegGZXvnmk9sTZKkRcsMRGuVeWJ7N7FJO1fp8d1KAFe1R7TEQHTdLZIvPKey+4Coz1VtXWnFOq/2vVaU6tWsxTv6h7TWbXLf7uEzpFWL0+sdjs5Z86njRcA1bZkqK1Po0vuF8OAhwjTVsIAyRnC1JRmbJ4LOYF2S+iyjE41Ytm86RfqT/osoU9yGWaqAMYbHg+N4HMcxS5UkMVz1tJD3SWvi6XLyd/aPpKgshvipiU3KuirBmNc5QRuVyco8FdsWBvk7c7P9QGCoYglVyF9VZvI0Nu9TWwZgi/dG0p5pqoGxWKfPpgqLEodVY7CEBhrUmvDO3z292z+XpNRzdInyItIJ9jqFPaT4G0fVq/Dy9CEREMHDwdJJo/d8A+2J4qoUYNXyh/j6Eo/0To4JaL/u0vcofi9TvUtblPItu3bTunzRyday8kQ/56aBTSpzN5Xqfkr5HvTUasdgMF8P8fA3/gaHv/kaZubVT7MB4D2DbXpNvyR4m7aD/0y1bb8ck8PRrzh1vEN1XKc8AvkSr0V6oUldQL60YR2m+qtNeek+MT22NETA5+ufM04z58iefPM27fDG8XhwvHCtWKTMZsmrpHcD1blV6clzVEYFdaE2LCrDZJzPURkRGGpssbBj6EdMdVsT1RqA9HrIm3CvaqPpNSzaX5U4/lD9cwDE4yyvhi0bY6KlM3nr6ZZSvVaUdIejE0aqAV452D/qeL8keBfZjn45Joej1zh1vIfo9My8idcivdBUeT4Vbi80Td1Gf7UpL42t5srrzqaZmxy3SH9Nt2l/6XRXJmcm32nlUdLz0iCmbJOqD1R68jBbwnwzsEyFzTgfZvKn+yp6McnmYWd59ktjo9uaqNaqZRyia8BkfKraaHINy/ZXJY6rxlleDVtWnmjpTN56uqVUrxUl3eHohH77grVfEryLbEe/HJPD0c84dbxDVMojV60Plk7icXYcABCBtamx4nLb9UITNZoBuE+h2Jpqo3y7CHFq92PBEx0nW8cqbVweV82nUcOh+n1WacZpxtgkfljZhRei/wEfZv9gnJTO0HqMZ8JtiTZqk5Ztw3o2ix3eeIueOsYmjcdEpxDFGraPCFNNFXwUs7lV4k3sCpik3cNYwsnwDuzyzyfjRlQ+T5JP66+ysSDro/QEsagPVzZq/lUMYR0WEh3e5NpKL8PgS0HmqYwt3hv4o+BPsQ7xk3sCcJUqWMcWjfoom0y+JXxDGkrHEFsWfJmKbNzz/uXXquypqapNhFijr6I5IWx+l5TWn2Xdproe82rYsjJl97i89SygjCrFk+IpquFwQ95/phSppHdbQe8nxd2xtpjRhKX1mn5J8C6yHf1yTA5HP+Mm2h1ymTZis+CDD197ejT4ckugkG84obpMG4zrSqP9kA8zZZSXw2MwSgW8PooAZF+RuR6zeCx4IneZjMV9+jHvNatJVnpbH8Cv+88BAO72n+/aN+GMxfrrlvCNFj3VdEx0ygQtq/FZ9TQyfFVVmjmUkwlhlhmsw8HG/TjYuB9AU6MVjF3G4no3s0kcCb4C1OXjPAKT9tXn65+L07oL+pLEZgzU2AKA+BoxCunBctBcerxtYLO4j7VOihmADzR1eZM+mqCNLWvnVeOZMWCIlvBQ/cHlNwBIzhEQb6tC1qZptKbFb2aTOBp8GQwssTc2s0npGFSdC9F9UscObxwEu/FuW4/oGstjZIjbIu7nTtuYHl9FTIa7Xb7DoWLTSHWlm9DCppGqMMG71+0ssh39ckwORz/j1PEOUemB+0un21J7TVDplbpEbxWdrMvsFFXdJRZ13K5OJ8cVFuZOa7fBJNm9G2TV+Gz9tv0/R2VUFYFX2QmnTRq97Jqah3h/voSg0+tDh2gSnT1+k3Go0qF1+9skk5uo3Lo3AMi2FSFrkygtvsLCtiUSIp1dRV4Ne3/ptHC8q16ZaFtPN/XuopT0bivoTnF3rBT9mIzdLwneRbajX47J4ehn3BPtDlElrh5r6uIq0voyQ/y04lx0E/aXTuMYO44Z1EAEjLI47flMuA23e69gE7uCaVqH9WzWWANfqSVLlONpabJfDxvdqRoPtE/GRO03qcdkUmdSBoFhButABBwLjmM/ydPxdWWlFXfd07n1bBZvVXa2pJXPoIb5qIxRNgsmOZ4xNoljwXFcpQrCZn0mqeNjbBKPBU/g/47+e2u7gR+fKnU8AgMDFXYNqVLBdfDzp0vCNl2OsYldSRTfKpaUCnxWT86qwen702XagHPRTcqlLCJ4ojkDSc/JRA4NWfd2CB3j5b3GCnQ3E8eLSvnuZht7Ub7DAQA+YwiJkv8fSyVfpxOxR4YDEMVp5J2mY+dJ2jZJ8C6yvm60o5tlORyrFZc63mHquArTFGwgfrfwF+p7ALSn66bJpsva1LFSEMXrEzd4Zq84Wim6kdbeKZ182SBLis9jNhT1pcci+fBB1v08R2XMU1k7hojiV859wLNLJzehyC9+dKngOkxSpk3vDVeiGqpsyWiMpBOzdenXed4kkC7/zcpu4ThpkIefXvyqcZmytpoi6h9d/3crcbxIut3GQegDx+pAlHQtSsTW7WNCr5O2XbK3w9F/uNTxPuHRxj1YJF+/IYAya0h10jRZ9e7Rxj1Yov4WExiL/9fD73Ss6UZaexHkndipkuJFiu4i+crk7KImmBUW5voyY5jFmrruemIs3rYb55EZJHXbJHd3orqbKLii8kVJ57zP0uiS+QG9Gqy6ly2S33bfypZ/Ktwu7N9T4XZhmSryvNWAt0nUP3k1+k4Tx4uk220chD5wrA5ESdeiRGzdPib0OmnbJXs7HIONe6J94JnCk1HT5U1TDRVWbwmN0q1rNVHBp1HDN8Nbm5rmJKip2ZomJau2M9GfZft0emwrBddRx9ikVRs7Sbwuuk94eWmt9q3KTul6VE4Ehq+GtwOANKHapF5Ot84xNyPS15NK9za5jjo91qsYwiKVMMri5O73UcHPsIm2/bLJ8iE8nAq342J0faIAq1Rp2c8JEN6zZKn2s1RBnQUYxSxCePAQSTV+3t/r2WzmWONlLJvYpHRsTWh+//nmu7F1+vPh0rzw1xUAACAASURBVIkkuT4CwzzKGMZi25Kac9FNyb1Q1B+y60AFb+ex4Lj0OK5b/D+k+6f/DhCWv9XWpbd3A9nfuOWf51fQzeqVl++SyR1FMVINcGjHDbjr5jFcd+AZ7eIcBuDtI79kVYes3DxlrWR9ReroRdGPbXI4RNg80e7vR6E9oOhk1Gx5G9gs5qiMk+EdLUnTIkw/9DMWp3W3ToooV3J0p20x3b5fJ9gcQj6Nt5Pj4k9Ii+oanirO2eGNS8tuTV0n7PLPIYSX63gIwEP1zymTq4uAsdbrSbb2t5tjLVt2DQvwUMZD9QcBxMs+xOvyqWXCXEKUtJ+fM13qt+jn2cR2kbKdTmr/AFvEEoVYgq8NapxGrEzz+mtYQK353zwlXNYu1e/Tyehnl9T3WJ5cz4+p1kxgX4/Z5MLZzCZb0tpF93CTNzZkmUYNZ6Ot2E/yNPvDpRNJsn6Ws9FWoIG2N0+sxyy+FDzZs/Rt3d843TnoBF35LpncUSQz83XsO/M9APJE7DSDkLTdjfqyOvrEzDwe/sarALBiE9t+bJPDUQRrXh0vOhlVVl43kqazH8BNn9joNO5eToqNXofUZeliJdPYvYKU+kXy25TM/aXTxueyxChXQj6wnKINdJ6MbwK/njodp0WNc36/0OnJooTyXf755N9FqeS6dpRZQ3uuZWnhaXRj10Q/N8W2b0VLbGz7lh/bo417pOGE6fMnQvbmCb5UqBf0c/p3P7fNMZjUI8LRb70uTMROMyhJ292orx919H5sk8NRBGv+iXZRyai6RFtZ0nSvk7X7pW5e/2UaAVFJq2y3rdXE8pNg02OQTQqK7gKV6murpZsmypcR4vHgOA7hZKKlmqZOFwG/XrKJyHOIXwNmuqwhi6wPikiIL5K8SdY+IrxV2Znoz/OK16bxFHmZYs7PQd7znr4+qlhCtYAvBhmWU8SnaR0YW06/TyvCWX34XHQTftl7MdHW8zDGJoV9C7Qq/7L+HGVXAcRj+nGI3yCRHYfZ41CdC36+TNVpUR990n8Ro4j7aIpqONxoV9L7Of27n9vmGFwmZuZx5sI7+Llrr8ELP5xKfu4ByRW72Ajx0NdfSSblQDzZm5iZB0P7OyF8xvDpX/ggvnjXjbjwoyk89dK7CImaZhHht1JlFfkEVpfsnUe3vix50i/7eS/oxzY5HEWw5ifaMqXwMm0wLsMk0bYf1emVbhNjwCbM4GR4B273XpHqmaJ2MgANYi1arGmd3aaoOkzKyW6T1lLz6LJ5SV8vXBfl14XP8j+yV2nT/UTe9qT177T+LIIA/Fl4O+71nxV+OcTPQSfn3fY4QngoKb704MsZVIowgLbf6frCBFXfehQlk1KZss/7c4c3Lq0jTElhomNUhfJdpg3G6rRou+wxbWCzOBp8uW3fIv7GdYt+bptjsElPsDnpOxW/Nidm5rHvz78HUPw0HBC/eDEkwldffAdv/3gW333nPYTNbyaJgLl6lJTVDd35rpvHhOXl1a17rb+b0I9tcjiKYM2r40Uko+ZNtF2pJ8or/SQ7DdcvZXqmihKze0q6ksccKfq86HZxLdWmTzvR1yOC8HrJe110i35LlM+iGwde81oRLXNInwOdJr1Epbb09jz3hDkq41S4XVpX+j6qUoRFv+s0pC6LSi3X/Q2QLcHIJqDLEv5FbVuikvStACJ12rSPKixs27ef07/7uW2OtUM9pGSSreOFH051Jc08D3l1617r7yb0Y5scjiJY8xPts9FWHKg/gEvRRkTEcCnaqH0/bRZbVZNo+T26Nvuk/zcImLbVR4THA7Ga2S900u9UYOCZKWNs0qhPiYCQOmsdA/B4cBxvVnbjcOlE8vNequsmMMTHGq3wNdTJWJIp8wyxkj1e3gsAOBNuQ4O8tvsGEeAjRBkhGuQhMrgX8f2mqIYrUa3lPnkxuh4R2uuJCBhCPGE8XDohVes3sStW4yRbB7+XngzvsO7T9HIH1d8AVftu915Jnnirlg9ciWot/fiF+h7l8o6sOm3TR1yZHy/vxQ5vvJC/cXnY4Y1jvLy3pS1ZVqptDkcRyMb4xMw8bjtyHk+/3P4GCiB+En3bkfO47sAzyu10+8nC3nS69V03j+GRT92IsZEqGICxkeqKv5e7H9vkcBSBe73XgWc6LmO8vNcqsfpSFOuUb1Z2G79T+EoUJwAX8YSwn55oDwo8HXy19VvRQXBEwMnwDlyMrpe+FmmlGeTxHxLTqvhLVALBLNxujso4UH8AjwVPKO9FfLuszvyl4EmUWUNZh6q/+SQ/T+I/EIcA7qt/dlkBz3Ef1qErd47KOBNuw73+s1LbgKfym5adbZvtsaXbthITV9FyqpVqi8PRDUzGeDXw2yaLWd1btl0W0X6iteRAPEl94cB2wW8cDkcR2Lzea80/0S6CRxv3GGuplFI8T4XbjZ7CzFEZjKkTgHnZJqjePWzDoDxZLwKPDe7kTEY30tb5UoD9pdN9OckGOg/PW0nmUdamZ5ukinO4pqy7F8l0Zt0kG5D3N1eEO0lbT6vSqnKyx2ajJ+vax1PwZeM9ncpvUraobaLtTMbnSiV4uzRxx2rHZIyLNO68urdov3QoLMfp1g5Hf7Hmw9CKQJVKK2J/6TSOseOg5i1SlVLNk2SPSTRg/mHrKipYh0XrtqeRvdNZNTHhicJzKGMdFlfdZLSbFPlkNVeieYf1AfJE8Lwp3Hnb0q1xt0QMQfOZQZGp6Xnh13h6ktVp+WNsUvpO8jRcX9a9YcEEIrQ8+fnV6K/xMe+15Pc2xyRKvB9jkwjhwUOUJHTf7r2CTewKLtMGabK3iGy5eVLwx9hkonFnWUAZVYo/sMuSw7Np/pdpQ1vqOCDut5VI8O52mrhpUrvD0S1Mx/jEzHxiTlZKHhYb4nsF181l6eEyHZwQP8E2TR3Pk1KuoujyHI7VhptoF8SERdLvsgKofiTBGFBDfHOVpbPyD1YeEaZRw3rkex0OT+jlmE4Q+JOXI8FX3CTbkiL7y7asbr6DutfjoFv1MQYERPhOdAM+zP4hV5J30W1Ll1fUJN60DAbgcOkE7vaf73gJywRtTCZGh0sn8DHvtdzHMk3rkv/mifciDuYrvqVcWUK5ru2MoS1NXKSe8tePqdqQ5mDj/uS/denpvaSbaeKmSe0ORzfJM8Zlk2wgvr/yNdei9PBrqgFm5utt+41UA2NNPG9Kea/KczhWI04dL4hHG/e0JflmyfPBmKuRJvoiUbw+swhMXy0lSw12OFYDjAEf817TLg9ZCc18Jb7Q2OWf7/haz6rRu/zzHR1LL/uhE809q5UWrVf3U4J3N9vitHRHPyAa4/MdjPHsn5CsTl7EW0vyauu9Ks/hWI24MDRNGJpKUcv+7lx0E+7z5e9/zfsESnSKdOuse/XhU6UQq/ZxT7+7z0qMh7wU0dbsdVKklq8qkwhYIB8hK7Us3zDJQuj385JFtcwFkB8P//00ajhUj9XoHd44/ig4gXVY6KgfiOIn5Ol7NICO1WLZvf9w6YT0Pm8yVnhbZeGKRPGHbl27Re1bPu5lRd60L2x0bNHfvljNV7eliCfOb1V2SkLnGD68eKrj8h0OU5avg2LHOIcBePvILwFQf1ZlgJG2fd2BZ4QeZboeG2Tl2bTJ4RhEbMLQnDquQKWoAWj73d3seVzFEGpYEJaX98Oksdq5Ah/a89Q5aJOLQYWxwflSoygFepF8fC38BO71ny3slWomWnCVhVgk4PPNdOk3K7tREqzbHaRzIiLvUxX++6HmWuQd3rg26dwUwvJynM1sEkeDL4OBJUFtedRi2b1/S/gG7vafl3+hgDhhfH/ptFArTbdVBl/Go2q3rH0H6g+0pJWbatY2OrZo2/vY8hcPsrYURTe1dIfDBtVSlSIYLseW5NMvT0gTxtH8uYm2vWmkKnwl2KaRaq72ycqzaZPDsdrRquOMsQ8yxp5jjH2fMfYaY+zzzZ+vZ4z9V8bYD5r/P9r95vYWlaIm+11VMsl2OFaCQZ3Q5aXCQmUCtI5OBJ90ArYqxVt3TnolGa2E7p6+fxYxyRYl51dY2JaGbqsWy+7vOnWeJ4yLtNI8Kf+ydpvq00VvJ9s2O6a7qXL3kyLvcHSTuaVYyz76rdc1iT4xOm17350fRTVoXeLYSUq5qDzbNjkcqx2TJ9oNAL9DRN9ljH0AwEXG2H8F8L8COEdERxhjBwAcAPDvu9fU3iNLlVSl7ZouelcpmCuVRO1wcAZ57OgSoEVwXbfTQx5jk3i7srOl3H7sRz7J1rWvG8sPxtik0YdGGctvWhjCsMUXm2NsEuPlvYneucMbx6HgZJLaHWH5/MsO1WRsbWJXcDba2p6krtlPdi6yY2oatZak8WzdgD4ZfhO70qJ/y9o2xibx3coejGA2UcJlfxdlbekEqc5e746W7nD0EwT98sYssnRyIH6qfOFHUzj14jvJPTjvl9I8bXy+Hiamlq5NRSaUu7Rzx6CgnWgT0d8B+Lvmf7/PGPs+gDEA/wuAjzc3+88Avo1VNtHWJX2L6FTzXskkaoeDM8hjJ+9yhiIOeVD6zaad3TimTork7VlHC7iKCmqGrzVkrFUB/7T/7ZYn3+rnMq11q7hMG4RJ6jqDwPRvwnrMSsu6TBuEaeZZZrBOuw2vm7/JgvfdnGJ5VLYtnaDT2bup7Docg4pKA3/65Ql8/f99t+WLzqtLIfb9+fcAmOvd2bRx3b1t00i10IRyl3buGCSsUscZYx8CcDOAlwD8i+YknE/G/3nRjVtpOkmYdTgcDlt4sFq/0JVJNituTX4VS2336EXylW9f4Ap4Vi8vAq4wi5LUi/4SNZuCz+vWvQVijsogQq70eNPlUUWo3C5d3OGwQ6eBH/3W66gLXp9RD8lK7xaljevaVGRCuUs7dwwSxmFojLEagL8A8BAR/RMz/NTAGNsDYA8AXHvttXna2BNMFDUGMv6w1O+Jz/2qtDoceVgN45nfM4aY2QeYlYIIuIoK1mGxq31uck49EKpYSvpulir43cZnsMV7A7v88/ARCcvIs7xA1L7scoMqlvB4cLzjsk1gEKe5H2Pi+nni+aONe3BM0kazPpdDBITwMITmhLiR/93WMkW9q0q64e8d/YM7V8tUSstXZ1qtvqYagDFgeq79PdycrHKuUrNVenoan7FkAiwLTTMty2Qfm7Kceu7oFUYTbcZYgHiSfYqIvtH88T8wxn6SiP6OMfaTAP5RtC8RPQngSSB+vVcBbS4cU0Xth5Vd8A1XF/b7h/5+b5/DYcNqGM+DcgzTqGEIS11vr0n52W1qWMSv+n+NW7wfKMPWimp73vWNRZA+hnSau4wJ2pikgO8ncSp6CE+Ylm+zDe/3PGnvabqVLq77e2+TwO5YWdy5amVmvo6Hv/EqLvxoCn9xcSJ56jszL59gc9LKuU7NvqYaGJUZNr8JnJiZl6am50k87zQ93annjl5ikjrOAPwpgO8T0WOpX50F8BvN//4NAP+l+Ob1BlNFbR5OI3c4HGsXIuTWjnsBY8DHvNd60r5++mIkneYufsc0WlRuWXL3qXC7crkU38Y0Ub8T1btb6eK6v/dOWR8c3LlqZ74e4qmX3jVWuwEg8FmLcq5Ts/Pc+0Rho3kTzztNT3fquaOXmDzRvg3AvQBeZYy90vzZfwBwBMBpxthnALwD4O7uNLH7qNLFx8t7EyVpWBO6wz989NMHMIfDkZ9+UNJt2tCL9q5n4sRrFf3Qj/1Ct/oiVqrFM+BsdXxZ1MHSyeR8LqCMi9H1uBhd35LGzgnh4Uy4DQcb9+M+/1njdo2xSbxV2Wmt9erSxfMqwzolXfV5YIc3vuJPSp0qvUw3lxcMMqEunSxDeo32XTePaTVvlYKuggCMjVRxeWYeI8MBiIDf+vorOPzN10AUP3n3GUNIlPz/mEDr5v+dV/0uQj13OEwxSR0fhzwk9vZim7MyyBQ1ArDZi3++mU22hc9kcR8kHY7VRT9c0yudEN7L8otgENrYDbhSLXtThkiprbLlJQDrMYsjwVdwJtwmXBpQQoS7/edxMboe06glaeQ6eKJ/Hq1Xli7eiTKsU9JVbxtZaS3ZqdKtdGt5wVqE69NnLrwj3WZkOMDTL09INXAdYyNVvHBge5u6nZ648y8J0tq5SOu+6+ax3Jp3p+q5w2GDVer4akWkqEXUvv7O07wr0OFwOBztrNXJbxYi4DvRDYW/zYIr1ao3ZWSVWpl2u8s/L1XveRl5/w4WpfV2ogzrlHSbPuw1TpVupVvLC9Yq8/UQL/xwSvp7ovgpcp7LP61226SW83YVqXV3qp47HDYYp46vZkSKmkxJ6gZOq3Q4HHlx94/uYboWWbSfbJsPs3/AmXAb7vOfLeS8EQFnwm3LTzTrwOPBcWHZXKnd4Y1jTPI3TpfIPsYmc33QTu8/Xt6rVJ7TevQMaiijjnXNpVtTVMOoZPmCThnm5Q5hCQ3y4CNKkth5W/jnAV0frgROlW5Ft7zAUSwz83WjELQs6fRxIH/S+O89/SqeeundRC3/9C98EF+868ZkG9Mk8btuHsOFH021lPUrW/I/IXc4VDDq4SPaW265hS5cuNCz+kz40IFnhD8fL+9NtHGHw+FwOEzRffkxR2UsoJxrvbusvAP1B5IJhuzv16UonlSm9WNbIgJmUOu47dk2c7J6tKwNotC3S9FysnoWUbmyNgDqPpTV0W36sU0Ohw3VwEel5FlP2NeVfVxdan8KvvvWa/HFu25s09F5XY986sa2CbTNtg6HCMbYRSK6xWRbp45LUOljDofD4XDI0D2pHmbxu791uR+mZPVhlVIr0o9t4EuoOm27THk2aZ/H2uvXKcO22nU/asn92CbH6qEa+Ljtp9Z3tY75egjG0KZuq2AA5gSTbAB46qV3AdglibvUcUcvcRNtCWejrThQf8BoLRp/5Y0Jbo23w+FwdIdBur+OsqvSlNE8pPVh/vfrUrQRETFcijYmT25tlkXJ+nOUXVXu0yAPkcHfRZHybNo+hrgeXl+LPi+sy067VvXhStGPbXKsDsZGqnjkUzfi1G/+Inbfem1X65qZq+ORT92IsZEqGIDR4QAj1UC6PUEevsZD02ySxF3quKOXuDXaCs5GW7GfTgtTLbOYrrVzaykdDoejOwzS/VWVEt5JeRxZYrcsqVlECA8lwZptVdsnaFljHi/vVdYlSoc2bR8BKLG4belEdNmkM09CtawPV5J+bJNjsOFp4Jwv3nUjnvvbH0tf8yUrA4DRPptGqsLU8NuOnBfuPzZSxd+/tyB8bZnfvOnbJIm71HFHL3FPtDXoFPJuBBHZPCF3OBwOx8ohulfr7t/plPAi9HEbfdh0WdQclXEq3C5VlU00ZlVdsjabtI8Ea7R16dtOu3Y42pGlbYuSuQOfCScNgc+w786PCvcxrU9WJ9/+07/wQeE+/Oc2SeIuddzRS9wTbQ3ZVMs5VFDFAjzE3/brElo5thPyRZRQoQYAu/34B7wIrd+iDNKTHkdvyE4G3BgZHPi5m0YNNbqKgC2fzKLOYxFfIqbHmKisvGOQKH6iyTfXlR2BwcvIhyZ1yfqAl00AxqMbcAP7URIONo0avhneKk0VJ0KL7nsMx6V1x21fvpdfxRAWqYT1bBYhPHiIcDmTmq2j9W/aJKLm37Fp1EAUa+Hp9OaL0fXyVGdN4rOsrmzSt7x9VzCDdW2p47IgNlX6tkuodvQLw4GHuXoEnzGERBgdDrBQDzFfN/s8aUs18JKyGYChwMNCPdImcwNoS/EGgENnX0vCzEaHAxz85A0tZaT3+cTP/ASe+9sfa5PAVXWmn37LUsdV+9rU43AUjUsdl6SOm2KaTm7zobWTD7ii9FGXoO4QkR4rbowMFrKU4TcruxOdtlOKmGhfiWqosiVpuFXeFGyTsatKYjYd7w3yhP1pkvJs2i6XJG2P6zOHCD5xzUNWn1ZpzPvu/Cj2/fn3UA/1dWXLVaGqExBr2bx81b6m9TscDjNc6ngPEelo2fs8EfCd6Ia27RbJxxK1SgWRwYdbIkB0f18kP7eK16+sBYWeB/p0gu3+2bHyaOMeLJJ5CmgeRNdFUWUVtW2R+3YL2XUOAKfC7dI2h5ZLUurobFzOURmMQTqBzpuCbaIn65Rgk/u2Tp3WYdoupzTb4/rMkSXw4iecWSXY5LtCkTas0ouPfut1o0m2rY6sqlOnOzsd2uHoT/xDhw71rLInn3zy0J49e3pWnwnHnv1BR/u/TtfiXdqIG9nbqGEeE7QR36PrMMaugIEQwsNXw9vx+cbn27Y71PgN/FW0peVnH2Bz0ok2EZLy/lP4b/EL3vcxhPgD6hTV8LuNzwg1uGwbAbPJvInqmU6DzCZD2mqgnKj5p3GCNuKfKfpDVybnKip4n6oYQh3TqKFBDGWE0jaqnuTZmgnLbRjC+zSEIdQxRTUsoIwK6pigjfj9xm/gx7gG/yP7b2Ago35fRAnv0TCGmmXI+kk0URKNldfpWrxD/xw/z76PKtonPUUoxCfDO7AR/5SM9aejf4WN+Cd84P9v7/5j5CjvO45/vru3Z++dgfUvEnxgEoiFEzC2wUrdglCBtiQpsV3Mryg0URqaSq3UhCpUIYoaO0pDG0eFVJWiREFVS1NKQhPqRlVci5CoSQUtrqGEwCk1BOwDgoPtS/wL349v/5jZu/XuzOzM7tzu3t37JZ3udnd25pmZ7z23z+1nntVxTaggq6mCSZmO+QKVdPpHcLiS66JaS9X11W5nUc12as9B3M/V56615xProd5RX6BjKmuBxnRMC9Wn9JeA1Ld/Uqe/UEz6PZek702u1xIb1Rp74bTnHdYi3TV2uw7qLK2x5xMj11VW/cp46Ur1HG0f/11tKf4w9jx9fOwPtHPySn2q7/5U/ZHLptZbX7v1fWv9MvWinjNdJ9Pr+PLE5szrztquVto/33HMesOqswd14tSExnP6nLrB/mLTAWzRgr8UBZt+3VApl/S5G9boD69+m85dXNbTI6M6enJcQ5WyPrP5Eu07+EsdOjb9uc1vOqNflYH+qWX+7L3vaIgNrz7nzIZ1VZf77Ld/nNhGk2LXmyRpm0mPNXsugHxt3779lW3btn0lzbJEx9uMjuctKdKYVywuTWyynchk2m2kWWerkeZ2op1x+97ssSjHvT/Tx6+0GomcyShlHrHyvCOdnYyO5vE7mTbS3Yno66bCD1JFtQ9MLpOkTOe+lVh0mvoiEgx0X9FM++5+T+bnxcWapWyR7V6JQGfZHwBzD9HxDK64cEm3m3Caz4/f3BAnl5Ljoq1sIylK3m5kMm4bp7yvIZ6cR8QzKvLZTrTzaxPXRMaoT3lf5HFJ0mwm3LRtarY/MxmljFr3G17UuDd2H2NuDfU7E5HOTkZH42L1p7wv9faiIt2t1m270kS1k2aWrkrT/nZnpo5bL4D2lYrWMHu7FB+3jpv5uZk7r7tIpWLjWksFyxTZ7hVZ9gfA/Dbvo+NbLz9P//3C69p/uDc+qH7YV+pFX546Ft7qNmpjd/Vx2XYjk1HbGPFl+vT4B7R7ckPuEc+oyGc70c4vT2xuiFEf1iJ9cuz3Go7LIV+kSRVUSogHL9IJfXFia8vHLc3+1D6vGsUuaVyXFl7Qz/0MDfvKVNtP26Zt4x/UrskNDXX6yfHbGy6HmIlIZyvHaVPhB7qv9AV9qu9+3VT8furjEhWrr9ZD2v2qRrqrlwdMqKAfTr5DRXnHo69xUe362PfOySsj60oNkfz2YtFp+iMiwei2/qJFzo2SxyT/A6WCFi3s0xtjkxqqlLV53Qq9fvSUjp4cV6VcUrm/qJNjkw3bGuwvqlQwjSVEtwdKBfUVbSreXY1cD1XK2rbpYl138Zv1+Auv62Q4K3WlXNJfbL1Uy87o1zMjv5AreCf7/RtXTs3wnNXqc87UyiUDDdv53A1rMkW2e0WW/QEw9xAdb0FSFAhIoxdmwo2KBWeNr89FHJdpvVCnmP2azfCcNFNylHKpqLs7MFCZDdFkAEDvIjregqi4EpBFL8yEGxULzhpfn4s4LtN6oU4xu8XN8FyVNFNynBNjE9qxazjPZkaaDdFkAMDc0Hgx8DxV+wH2I0dOyHT6TNj1BvuLOnZqImEJzDc7J6+UxoJB3Qp7XS/7Un1+/OaOvmO6wqInlVphr3esDb2I4zKtF+oUyRb0FbTh/Ir+c9+hhr9DBUmy4KMgsypa9EdDVlXKJZlJR46P6azw58PHx1So2V6lXNK2TRdry/ohbTh/ydTfzOo73NXPGa59Z3rHrmG9fOSEVlTKunr1cv3DYy9Fbv/lDqTKav/WV9tU314AAPJAdLxFD+8d0R0PPhk5GF88UNKR42OJA/WZUJ0RlBj8/EUsONpMHZehSlmvjp6MjdBW46gP7x3Rnd94KvFaym4rmunNZy1M1Xc0i/k264PSzF6cph+rjftm6feyxpqbxYovvOvfImug1Vma5zri2wCA2YroeAfs2DUcOZA2NX4udKdUZwS987qLcpmgBbNPUiy4VIieYXauiJoFtmom4tLVuGncTLwF01Qcdceu4Z4eZEtB/5G272gW820WGU4ze3GzddTHfaOWLxVNpbqir4011z+WZjtR4van1Vma5zri2wCA+YCBdoviIm4uafTEWNPnD/YXg5iepHKp0NYAqGim22pmBN2yfihxoD9QKmjxQGnquVLwLny5lK4cBkoFDfZPv0iqzmBce1+9wf6iTEEkMo2CSSmbM+Oq5yiNwf6ibtu4cuods2LE9M4Faep8Z9nPUqH5DLc7J6/UJ8Zu14HJZXKZXtVy3TV2u/ac+ZvacdNa/dXN69JtLINqLVXVtjFqduu0ChZ8/F79+utraKBU0L23rNOOG9dOHfd6tcdl0k0HJpc1TIRW39So01I9B5VySQtLBd3x4JN69LmDuuLCJQ37OunBAPvhvSOpIrGd+B/IqrMHI7db7T+a9R21kvZpy/oh3X3DmobzUd9XJaldhymocN9x4wAACPVJREFUs2qfOVQpN7yjXr/8UKWsHTeu1Y6b1p52X/V5W9YPacdNa1UpT9fX4oHS1O9v3HaifHbLGt22ceXU73uW/ZyPos5VJyZCAwCgk4iOtygp+iZFRxKbxeKyRr6T1tduNO/hvSO665tP68RY9HXonZohVorfl0q5pNET6SL61f3OGi+NO1ZRx6edY9KsXVkjsq3URivS1FO7vyvtHuu8Y6pJ7ZEU+diCvoKOxPwDrtV25NlftLJeYr4AAGC+ITreAUnRt1ZjcVlmaG22vnajeTt2DccOsqXOzRArxe+LWbqIfu1+pz3GzY5V1PFp55gktStNRDZp+SzbkoIZhYs5RWrjtpfld6XdY513TDWpPXGPmSkyplwqWsvtyLO/yLpeYr4AAADJmHW8RWlmLs06q2nUOq9evVyPPnew6ayurbQvSZqoa9YZYh/eO9JSe7asH9ITLx7SA4/v14S7imbaevmQvhYzc600PSFd/Xbqj0vtzLpZjm/cvrc6a279rPdJbanfh8pASe7BJQtpjmua50vS9n99RoePB+/CVsolXb/2HD363MHU56/2fFcGSlrQV9DoienZjO948EmtqJS19fKhxPW2e6zznmW4lfYcOT6me25Zp207n5l6Z3vxQEmffu/FLbejvmbipKnnuPXW90PM0pxdq/0eAACY3YiOI1K78eR67cR/4567sFSYGgi22q5WMWtusrhztvXyIf3znpFMddBrx3omLhuZyTZRj92T9yUmAACgu4iOo23txpPrtRP/jXuuu7o2cy2z5iaLO2cPPL4/cx302rGeictGZrJN6J68LzEBAACzB9FxRIqLWEfFsdNoJ/4bt8zoiSCO241YZt5x5Lkm7pzFfd50sxmspd451jNx2Ugn2oTOy/sSEwAAMHsw0Eas6kfg5GFFpRwZbV0R83FMaZ+bZxuz6ua2e13cOateex61fJJeO9ZJ7elWW3vtGKG9fg8AAMxuRMfREe1EW4nFzj5x5+x9v3Ie5xLzBn0XAADzF+9ooyPaibYSi519ks7ZhvOXcC4xL9B3AQAwfzHrOAAAAAAATTDrOAAAAAAAXcJAGwAAAACAHDHQBgAAAAAgRwy0AQAAAADIEQNtAAAAAAByxEAbAAAAAIAcMdAGAAAAACBHDLQBAAAAAMiRuXvnNmb2S0nDHdsg5pplkn7e7UZgVqJ20A7qB+2gftAqagftoH5mxvnuvjzNgn0z3ZI6w+6+ocPbxBxhZk9QP2gFtYN2UD9oB/WDVlE7aAf1031ExwEAAAAAyBEDbQAAAAAActTpgfZXOrw9zC3UD1pF7aAd1A/aQf2gVdQO2kH9dFlHJ0MDAAAAAGCuIzoOAAAAAECOchtom9lCM/svM3vKzJ4xs+3h/W81s8fN7Cdm9qCZ9Yf3Lwhv/1/4+FvyagtmLzMrmtleM/t2eJv6QSpm9lMze9rMnjSzJ8L7lpjZ7rB+dpvZ4vB+M7O/Duvnf83ssu62Ht1kZhUze8jMnjOzZ83sV6kdpGFmF4V9TvXrF2b2MeoHaZnZHeHr5h+Z2QPh62le+6ApM/toWDfPmNnHwvvoe3pInu9ovyHpGndfK2mdpHeZ2UZJfynpHndfJemwpA+Hy39Y0mF3f5uke8LlgI9KerbmNvWDLK5293U1H2fxCUmPhPXzSHhbkt4taVX49RFJX+p4S9FLvijpO+6+WtJaBX0QtYOm3H047HPWSbpc0nFJ3xL1gxTMbEjSH0va4O6XSCpKulW89kETZnaJpN+X9E4Ff7euN7NVou/pKbkNtD1wNLxZCr9c0jWSHgrv/ztJW8KfN4e3FT5+rZlZXu3B7GNm50r6bUlfDW+bqB+0p7ZO6uvn78N+6zFJFTM7pxsNRHeZ2ZmSrpJ0nyS5+yl3PyJqB9ldK2mfu78o6gfp9Ukqm1mfpAFJr4jXPmju7ZIec/fj7j4u6fuSfkf0PT0l12u0w9jvk5Jek7Rb0j5JR8ICkKQDkobCn4ck7Zek8PFRSUvzbA9mnXsl/amkyfD2UlE/SM8l/buZ7TGzj4T3vcndX5Gk8PvZ4f1T9ROqrS3MLxdIOijpb8PLVr5qZoOidpDdrZIeCH+mftCUu49I+oKklxQMsEcl7RGvfdDcjyRdZWZLzWxA0nsknSf6np6S60Db3SfC+NS5CqIMb49aLPwe9R84pkCfp8zsekmvufue2rsjFqV+EOcKd79MQTzqj8zsqoRlqR9U9Um6TNKX3H29pGOajtpFoXbQILyGdpOkbzRbNOI+6meeCq+f3SzprZJWSBpU8DesHq99cBp3f1bBpQO7JX1H0lOSxhOeQu10wYzMOh7G7r4naaOCaEJf+NC5kl4Ofz6g4D8vCh8/S9KhmWgPZoUrJG0ys59K+icFsal7Rf0gJXd/Ofz+moJrJN8p6WfVaFT4/bVw8an6CdXWFuaXA5IOuPvj4e2HFAy8qR1k8W5J/+PuPwtvUz9I4zckveDuB919TNI3Jf2aeO2DFNz9Pne/zN2vUlAHPxF9T0/Jc9bx5WZWCX8uK+g8npX0qKQbw8U+KOlfwp93hrcVPv5d50O95y13v8vdz3X3tyiI333X3d8v6gcpmNmgmZ1R/VnSbymIVdXWSX39fCCchXOjpNFq1Arzi7u/Kmm/mV0U3nWtpB+L2kE279N0bFyifpDOS5I2mtlAeK11tf/htQ+aMrOzw+8rJd2goA+i7+khltfvp5ldquCi+6KCAfzX3f0zZnaBgncol0jaK+k2d3/DzBZKul/SegX/hbnV3Z/PpTGY1czs1yV93N2vp36QRlgn3wpv9kn6R3f/czNbKunrklYqeEFzk7sfCl/Q/I2kdymYJfhD7v5EF5qOHmBm6xRMwtgv6XlJH1L4d0zUDpoIr4/cL+kCdx8N76PvQSoWfBzuLQpiv3sl3a7g2lle+yCRmf2Hgmv0xyT9ibs/Qt/TW3IbaAMAAAAAgBm6RhsAAAAAgPmKgTYAAAAAADlioA0AAAAAQI4YaAMAAAAAkCMG2gAAAAAA5IiBNgAAAAAAOWKgDQAAAABAjhhoAwAAAACQo/8HrShNlFPviqsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1224x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "limits = [300, 960]\n",
    "plt.figure(figsize = (17,5))\n",
    "\n",
    "plt.scatter(y1, iN)\n",
    "plt.scatter(y, i)\n",
    "plt.xlim(limits)\n",
    "plt.title('Ciências da Naturaza, Baixa Visão VS Visão Normal')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Gráfico com comparação de notas na máteria de ciência humanas, entre candidatos com baixa vi~sao e visão normal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "y1 = notaN_Ch\n",
    "\n",
    "y = notaCh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Ciências Humanas, Baixa Visão VS Visão Normal')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "limits = [300, 960]\n",
    "plt.figure(figsize = (17,5))\n",
    "\n",
    "plt.scatter(y1, iN)\n",
    "plt.scatter(y, i)\n",
    "plt.xlim(limits)\n",
    "plt.title('Ciências Humanas, Baixa Visão VS Visão Normal')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Gráfico com comparação de notas na máteria de portuques, entre candidatos com baixa visão e visão normal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "y1 = notaN_Lc\n",
    "\n",
    "y = notaLc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Linguagens, Baixa Visão VS Visão Normal')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "limits = [300, 960]\n",
    "plt.figure(figsize = (17,5))\n",
    "\n",
    "plt.scatter(y1, iN)\n",
    "plt.scatter(y, i)\n",
    "plt.xlim(limits)\n",
    "plt.title('Linguagens, Baixa Visão VS Visão Normal')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Gráfico com comparação de notas na máteria de matematica, entre candidatos com baixa vi~sao e visão normal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "y1 = notaN_Mt\n",
    "\n",
    "y = notaMt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Matemática, Baixa Visão VS Visão Normal')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "limits = [300, 960]\n",
    "plt.figure(figsize = (17,5))\n",
    "\n",
    "plt.scatter(y1, iN)\n",
    "plt.scatter(y, i)\n",
    "plt.xlim(limits)\n",
    "plt.title('Matemática, Baixa Visão VS Visão Normal')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fazendo comparações entre notas entre candidatos com baixa visão e visão normal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##   Ciências Humanas AZUL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 454,
   "metadata": {},
   "outputs": [],
   "source": [
    "PROVA_CH = dados[dados.CO_PROVA_CH==507]\n",
    "PROVA_CH.reset_index(inplace=True)\n",
    "\n",
    "P = ['TX_RESPOSTAS_CH', 'TX_GABARITO_CH']\n",
    "pch = PROVA_CH.filter(items = P)\n",
    "\n",
    "respostasCH = pch['TX_RESPOSTAS_CH']\n",
    "gabaritoCH = pch['TX_GABARITO_CH']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 455,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "acertosN = [0]*45\n",
    "for j in range(0, 45):\n",
    "    \n",
    "    for i in range(0, 135):\n",
    "        linha_da_resposta = respostasCH[i]\n",
    "        linha_do_gabarito = gabaritoCH[i]\n",
    "        \n",
    "        resposta_candidato = linha_da_resposta[j]\n",
    "        resposta_gabarito = linha_do_gabarito[j]\n",
    "        \n",
    "        if resposta_candidato == resposta_gabarito:\n",
    "            acertosN[j] = acertosN[j] + 1\n",
    "            resposta_candidato = ''\n",
    "            resposta_gabarito = ''\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 456,
   "metadata": {},
   "outputs": [],
   "source": [
    "PROVA_CH_N = dadosN[dadosN.CO_PROVA_CH==507]\n",
    "PROVA_CH_N.reset_index(inplace=True)\n",
    "\n",
    "PN = ['TX_RESPOSTAS_CH', 'TX_GABARITO_CH']\n",
    "pchN = PROVA_CH_N.filter(items = PN)\n",
    "\n",
    "respostasCHN = pchN['TX_RESPOSTAS_CH']\n",
    "gabaritoCHN = pchN['TX_GABARITO_CH']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 457,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertos = [0]*45\n",
    "for j in range(0, 45):\n",
    "    for i in range(0, 135):\n",
    "        linha_da_resposta = respostasCHN[i]\n",
    "        linha_do_gabarito = gabaritoCHN[i]\n",
    "        resposta_candidato = linha_da_resposta[j]\n",
    "        resposta_gabarito = linha_do_gabarito[j]\n",
    "        if resposta_candidato == resposta_gabarito:\n",
    "            acertos[j] = acertos[j] + 1\n",
    "            resposta_candidato = ''\n",
    "            resposta_gabarito = ''\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 458,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertos_pd = pd.DataFrame(acertos)\n",
    "acertosN_pd = pd.DataFrame(acertosN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 459,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = acertosN_pd\n",
    "y = acertosN_pd.index\n",
    "\n",
    "\n",
    "x1 = acertos_pd\n",
    "y1 = acertos_pd.index\n",
    "\n",
    "plt.scatter(y, x)\n",
    "ax = plt.scatter(y1, x1)\n",
    "plt.ylabel('Acertos', fontsize=18)\n",
    "plt.xlabel('Questões', fontsize=18)\n",
    "plt.title('Numero de Acertos:\\nQuestões de Ciências da Natureza, AZUL.\\n Baixa Visão VS Visão Normal', fontsize = 18)\n",
    "\n",
    "limits = [-1,50]\n",
    "limits1 = [0,135]\n",
    "sec_lim = 1000\n",
    "bp = 45\n",
    "\n",
    "ax = plt.gca()\n",
    "ax.set_xlim(limits)\n",
    "ax.set_ylim(limits1)\n",
    "ax.scatter(y, x, s=1, c='blue', alpha=1)\n",
    "ax.scatter(y1, x1, s=1, c='red', alpha=1)\n",
    "\n",
    "cores=['Baixa Visão', 'Visão Normal']\n",
    "plt.legend(cores, bbox_to_anchor=(1.5, 1), loc='upper right')\n",
    "\n",
    "plt.plot(x)\n",
    "plt.plot(x1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ciências Humanas AMARELA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 460,
   "metadata": {},
   "outputs": [],
   "source": [
    "PROVA_CH = dados[dados.CO_PROVA_CH==508]\n",
    "PROVA_CH.reset_index(inplace=True)\n",
    "\n",
    "P = ['TX_RESPOSTAS_CH', 'TX_GABARITO_CH']\n",
    "pch = PROVA_CH.filter(items = P)\n",
    "\n",
    "respostasCH = pch['TX_RESPOSTAS_CH']\n",
    "gabaritoCH = pch['TX_GABARITO_CH']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 461,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertosN = [0]*45\n",
    "\n",
    "\n",
    "for j in range(0, 45):\n",
    "\n",
    "    for i in range(0, 4183):\n",
    "        linha_da_resposta = respostasCH[i]\n",
    "        linha_do_gabarito = gabaritoCH[i]\n",
    "\n",
    "        resposta_candidato = linha_da_resposta[j]\n",
    "        resposta_gabarito = linha_do_gabarito[j]\n",
    "\n",
    "        if resposta_candidato == resposta_gabarito:\n",
    "            acertosN[j] = acertosN[j] + 1\n",
    "            resposta_candidato = ''\n",
    "            resposta_gabarito = ''\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 462,
   "metadata": {},
   "outputs": [],
   "source": [
    "PROVA_CH_N = dadosN[dadosN.CO_PROVA_CH==508]\n",
    "PROVA_CH_N.reset_index(inplace=True)\n",
    "PN = ['TX_RESPOSTAS_CH', 'TX_GABARITO_CH']\n",
    "pchN = PROVA_CH_N.filter(items = PN)\n",
    "\n",
    "respostasCHN = pchN['TX_RESPOSTAS_CH']\n",
    "gabaritoCHN = pchN['TX_GABARITO_CH']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 463,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertos = [0]*45\n",
    "for j in range(0, 45):\n",
    "    for i in range(0, 4183):\n",
    "        linha_da_resposta = respostasCHN[i]\n",
    "        linha_do_gabarito = gabaritoCHN[i]\n",
    "\n",
    "        resposta_candidato = linha_da_resposta[j]\n",
    "        resposta_gabarito = linha_do_gabarito[j]\n",
    "\n",
    "        if resposta_candidato == resposta_gabarito:\n",
    "            acertos[j] = acertos[j] + 1\n",
    "            resposta_candidato = ''\n",
    "            resposta_gabarito = ''\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 464,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertos_pd = pd.DataFrame(acertos)\n",
    "acertosN_pd = pd.DataFrame(acertosN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 465,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = acertosN_pd\n",
    "y = acertosN_pd.index\n",
    "\n",
    "\n",
    "x1 = acertos_pd\n",
    "y1 = acertos_pd.index\n",
    "\n",
    "plt.scatter(y, x)\n",
    "ax = plt.scatter(y1, x1)\n",
    "plt.ylabel('Acertos', fontsize=18)\n",
    "plt.xlabel('Questões', fontsize=18)\n",
    "plt.title('Numero de Acertos:\\nCiências da Natureza, AMARELA.\\n Baixa Visão VS Visão Normal', fontsize = 18)\n",
    "\n",
    "\n",
    "limits = [-1,50]\n",
    "limits1 = [0,4183]\n",
    "sec_lim = 1000\n",
    "bp = 45\n",
    "\n",
    "ax = plt.gca()\n",
    "ax.set_xlim(limits)\n",
    "ax.set_ylim(limits1)\n",
    "ax.scatter(y, x, s=1, c='blue', alpha=1)\n",
    "ax.scatter(y1, x1, s=1, c='red', alpha=1)\n",
    "\n",
    "cores=['Baixa Visão', 'Visão Normal']\n",
    "plt.legend(cores, bbox_to_anchor=(1.5, 1), loc='upper right')\n",
    "\n",
    "plt.plot(x)\n",
    "plt.plot(x1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ciências Humanas BRANCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 491,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "PROVA_CH = dados[dados.CO_PROVA_CH==509]\n",
    "PROVA_CH.reset_index(inplace=True)\n",
    "P = ['TX_RESPOSTAS_CH', 'TX_GABARITO_CH']\n",
    "pch = PROVA_CH.filter(items = P)\n",
    "respostasCH = pch['TX_RESPOSTAS_CH']\n",
    "gabaritoCH = pch['TX_GABARITO_CH']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 467,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertos = [0]*45\n",
    "for j in range(0, 45):\n",
    "    for i in range(0, 126):\n",
    "        linha_da_resposta = respostasCHN[i]\n",
    "        linha_do_gabarito = gabaritoCHN[i]\n",
    "        resposta_candidato = linha_da_resposta[j]\n",
    "        resposta_gabarito = linha_do_gabarito[j]\n",
    "        if resposta_candidato == resposta_gabarito:\n",
    "            acertos[j] = acertos[j] + 1\n",
    "            resposta_candidato = ''\n",
    "            resposta_gabarito = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 490,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "PROVA_CH_N = dadosN[dadosN.CO_PROVA_CH==509]\n",
    "PROVA_CH_N.reset_index(inplace=True)\n",
    "PN = ['TX_RESPOSTAS_CH', 'TX_GABARITO_CH']\n",
    "pchN = PROVA_CH_N.filter(items = PN)\n",
    "respostasCHN = pchN['TX_RESPOSTAS_CH']\n",
    "gabaritoCHN = pchN['TX_GABARITO_CH']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 469,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertosN = [0]*45\n",
    "for j in range(0, 45):\n",
    "    \n",
    "    for i in range(0, 123):\n",
    "        linha_da_resposta = respostasCH[i]\n",
    "        linha_do_gabarito = gabaritoCH[i]\n",
    "        \n",
    "        resposta_candidato = linha_da_resposta[j]\n",
    "        resposta_gabarito = linha_do_gabarito[j]\n",
    "        \n",
    "        if resposta_candidato == resposta_gabarito:\n",
    "            acertosN[j] = acertosN[j] + 1\n",
    "            resposta_candidato = ''\n",
    "            resposta_gabarito = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 470,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertos_pd = pd.DataFrame(acertos)\n",
    "acertosN_pd = pd.DataFrame(acertosN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 471,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = acertosN_pd\n",
    "y = acertosN_pd.index\n",
    "\n",
    "\n",
    "x1 = acertos_pd\n",
    "y1 = acertos_pd.index\n",
    "\n",
    "plt.scatter(y, x)\n",
    "ax = plt.scatter(y1, x1)\n",
    "plt.ylabel('Acertos', fontsize=18)\n",
    "plt.xlabel('Questões', fontsize=18)\n",
    "plt.title('Numero de Acertos:\\nQuestões de Ciências da Natureza, BRANCA.\\n Baixa Visão VS Visão Normal', fontsize = 18)\n",
    "\n",
    "\n",
    "limits = [-1, 45]\n",
    "limits1 = [0,123]\n",
    "bp = 45\n",
    "\n",
    "ax = plt.gca()\n",
    "ax.set_xlim(limits)\n",
    "ax.set_ylim(limits1)\n",
    "ax.scatter(y, x, s=1, c='blue', alpha=1)\n",
    "ax.scatter(y1, x1, s=44, c='red', alpha=1)\n",
    "\n",
    "cores=['Baixa Visão', 'Visão Normal']\n",
    "plt.legend(cores, bbox_to_anchor=(1.5, 1), loc='upper right')\n",
    "\n",
    "plt.plot(x)\n",
    "plt.plot(x1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ciências Humanas ROSA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 484,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "PROVA_CH = dados[dados.CO_PROVA_CH==510]\n",
    "PROVA_CH.reset_index(inplace=True)\n",
    "P = ['TX_RESPOSTAS_CH', 'TX_GABARITO_CH']\n",
    "pch = PROVA_CH.filter(items = P)\n",
    "respostasCH = pch['TX_RESPOSTAS_CH']\n",
    "gabaritoCH = pch['TX_GABARITO_CH']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 485,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertos = [0]*45\n",
    "for j in range(0, 45):\n",
    "    \n",
    "    for i in range(0, 126):\n",
    "        linha_da_resposta = respostasCH[i]\n",
    "        linha_do_gabarito = gabaritoCH[i]\n",
    "        \n",
    "        resposta_candidato = linha_da_resposta[j]\n",
    "        resposta_gabarito = linha_do_gabarito[j]\n",
    "        \n",
    "        if resposta_candidato == resposta_gabarito:\n",
    "            acertos[j] = acertos[j] + 1\n",
    "            resposta_candidato = ''\n",
    "            resposta_gabarito = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 486,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "PROVA_CH_N = dadosN[dadosN.CO_PROVA_CH==510]\n",
    "PROVA_CH_N.reset_index(inplace=True)\n",
    "PN = ['TX_RESPOSTAS_CH', 'TX_GABARITO_CH']\n",
    "pchN = PROVA_CH_N.filter(items = PN)\n",
    "respostasCHN = pchN['TX_RESPOSTAS_CH']\n",
    "gabaritoCHN = pchN['TX_GABARITO_CH']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 487,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertosN = [0]*45\n",
    "for j in range(0, 45):\n",
    "    for i in range(0, 126):\n",
    "        linha_da_resposta = respostasCHN[i]\n",
    "        linha_do_gabarito = gabaritoCHN[i]\n",
    "        resposta_candidato = linha_da_resposta[j]\n",
    "        resposta_gabarito = linha_do_gabarito[j]\n",
    "        if resposta_candidato == resposta_gabarito:\n",
    "            acertosN[j] = acertosN[j] + 1\n",
    "            resposta_candidato = ''\n",
    "            resposta_gabarito = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 488,
   "metadata": {},
   "outputs": [],
   "source": [
    "acertos_pd = pd.DataFrame(acertos)\n",
    "acertosN_pd = pd.DataFrame(acertosN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 489,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = acertosN_pd\n",
    "y = acertosN_pd.index\n",
    "\n",
    "\n",
    "x1 = acertos_pd\n",
    "y1 = acertos_pd.index\n",
    "\n",
    "plt.scatter(y, x)\n",
    "ax = plt.scatter(y1, x1)\n",
    "plt.ylabel('Acertos', fontsize=18)\n",
    "plt.xlabel('Questões', fontsize=18)\n",
    "plt.title('Numero de Acertos:\\nQuestões de Ciências da Natureza, ROSA.\\n Baixa Visão VS Visão Normal', fontsize = 18)\n",
    "\n",
    "limits = [-1,50]\n",
    "limits1 = [0,126]\n",
    "sec_lim = 1000\n",
    "bp = 45\n",
    "\n",
    "ax = plt.gca()\n",
    "ax.set_xlim(limits)\n",
    "ax.set_ylim(limits1)\n",
    "ax.scatter(y, x, s=1, c='blue', alpha=1)\n",
    "ax.scatter(y1, x1, s=1, c='red', alpha=1)\n",
    "\n",
    "cores=['Baixa Visão', 'Visão Normal']\n",
    "plt.legend(cores, bbox_to_anchor=(1.5, 1), loc='upper right')\n",
    "\n",
    "plt.plot(x)\n",
    "plt.plot(x1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [
    "3o3vUrMyQTa9",
    "XjXP8DA9uJl6",
    "wPa6JpEpuKEo"
   ],
   "name": "Visão.ipynb",
   "provenance": []
  },
  "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}