Eder_Cruz_Barbosa_Projeto_modulo_1.ipynb

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      "name": "Eder Cruz Barbosa-Projeto_modulo 1.ipynb",
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      "name": "python3",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/EderCruz/Alura-ImersaoDados/blob/main/Eder_Cruz_Barbosa_Projeto_modulo_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1gp5vupczRO5"
      },
      "source": [
        "#Importação de bibliotecas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Gha4TmQdzHFG"
      },
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.ticker as ticker\n",
        "#import numpy as np\n",
        "#import seaborn as sns"
      ],
      "execution_count": 503,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6ceVRF4t33c7"
      },
      "source": [
        "#Premissa e Hipotese\n",
        "A crise sanitária provocada pela pandemia de COVID-19 acarretou um cenário nunca antes vivenciado pela humanidade em âmbito global. Consigo também agravou as crises humanitárias já existentes. Aspectos econômicos, sanitário e sociais foram profundamente afetados. Nos centros urbanos, os fatores relativos a qualidade de vida e saúde mental também sofreram grandes prejuízos. Desemprego, violência doméstica, falta de perspectiva, violência urbana, isolamento social, todos esses aspectos afetam a saúde mental dos indivíduos. Os  especialistas da área de saúde mental predizem que os casos de transtornos mentais estão aumentando e a perspectiva é que cresçam ainda mais. \n",
        "\n",
        "Portanto, a **hipótese** sugerida neste trabalho é: **O COVID-19 agravou os aparecimentos de doenças relacionadas ao transtorno mental e de comportamento, como Lesões Autoprovocadas Espontâneas , tentativas de suicídio,  e óbito por Lesões Autoprovocadas Espontâneas, suicídio.**\n",
        "\n",
        "Para verificar a validade da hipótese serão realizados estudos que objetivam relacionar os aumentos de casos de COVID-19 com os casos de internação de Transtornos Mentais ou de Comportamento, neste como subgrupo especificio os casos de internações de Lesões Autoprovocadas Espontaneamente (LAE), que indicam tentativa de suícidio.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "clQCU75w_4Qj"
      },
      "source": [
        "#Método\n",
        "\n",
        "Plotar os gráficos das regiões do Brasil do período de Janeiro de 2019 a Agosto de 2020, com os dados referente a:\n",
        " - Internação por Transtornos Mentais ou de Comportamento\n",
        " - Internação por Lesões Autoprovocadas Espontaneamente (LAE)\n",
        " - Óbitos Internação por Lesões Autoprovocadas Espontaneamente (LAE)\n",
        " - Casos de Covid 19\n",
        "Verficar a relação entre as tendência de crescimento, ou decresimo dos quantitativos das informações obtidas nos gráficos.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OMt6tMjjzICz",
        "outputId": "5040aa5b-e1b9-472b-cd9d-3a20ed52e03f"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 504,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HOkdBJDjAfPG"
      },
      "source": [
        "#Carregamento das bases de dados e tratamento das tabelas\n",
        "Todas as fontes de dados foram obtidas da platafora TABNET,\n",
        "Com exceção da casos de covid obtida da plataforma Brasil.io"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SgknSRh80l6k"
      },
      "source": [
        "\n",
        "df_transtornos_mentais_internacoes_2019_2020 = pd.read_csv('/content/drive/MyDrive/Arquivos_Data_Science_Carregar_Colab/transtornos_mentais_por_regiao_br_internacoes_2019_2020.csv',\n",
        "                                                            encoding='latin-1', skiprows=4,skipfooter = 6, sep=';', engine = 'python')\n",
        "df_lesoes_autoprovocadas_2019_2020 =  pd.read_csv('/content/drive/MyDrive/Arquivos_Data_Science_Carregar_Colab/Internacoes_leoes_autoprovocadas_voluntariamente-jan-2019-set2020.csv',\n",
        "                                                            encoding='latin-1', skiprows=5,skipfooter = 6, sep=';', engine = 'python')\n",
        "df_obitos_lesoes_autoprovocadas_2019_2020  = pd.read_csv('/content/drive/MyDrive/Arquivos_Data_Science_Carregar_Colab/Obitos-lesao_autoprovocada-regiao-jan2019-ago2020.csv',\n",
        "                                                            encoding='latin-1', skiprows=4,skipfooter = 6, sep=';', engine = 'python')\n",
        "df_casos_covid= pd.read_csv('/content/drive/MyDrive/Arquivos_Data_Science_Carregar_Colab/COVID19-BRASILIO-06-11-2020.csv.gz', engine = 'python',\n",
        "                                                            encoding='utf-8', sep=',')"
      ],
      "execution_count": 505,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LxegJB8NCni3"
      },
      "source": [
        "###Internações por Transtornos Mentais e Comportamentais"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "id": "x8wuIYc6CGaC",
        "outputId": "f0f9e4ca-ec52-4979-8fd7-bd70a0d99ce0"
      },
      "source": [
        "df_transtornos_mentais_internacoes_2019_2020.set_index('Região', inplace=True)\n",
        "df_transtornos_mentais_internacoes_2019_2020"
      ],
      "execution_count": 506,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>2019/Jan</th>\n",
              "      <th>2019/Fev</th>\n",
              "      <th>2019/Mar</th>\n",
              "      <th>2019/Abr</th>\n",
              "      <th>2019/Mai</th>\n",
              "      <th>2019/Jun</th>\n",
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              "      <th>2019/Ago</th>\n",
              "      <th>2019/Set</th>\n",
              "      <th>2019/Out</th>\n",
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              "      <th>2020/Jan</th>\n",
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              "      <th>2020/Abr</th>\n",
              "      <th>2020/Mai</th>\n",
              "      <th>2020/Jun</th>\n",
              "      <th>2020/Jul</th>\n",
              "      <th>2020/Ago</th>\n",
              "      <th>2020/Set</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Região</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th></th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1 Região Norte</th>\n",
              "      <td>720</td>\n",
              "      <td>622</td>\n",
              "      <td>629</td>\n",
              "      <td>703</td>\n",
              "      <td>767</td>\n",
              "      <td>631</td>\n",
              "      <td>484</td>\n",
              "      <td>593</td>\n",
              "      <td>521</td>\n",
              "      <td>789</td>\n",
              "      <td>679</td>\n",
              "      <td>599</td>\n",
              "      <td>720</td>\n",
              "      <td>630</td>\n",
              "      <td>630</td>\n",
              "      <td>553</td>\n",
              "      <td>480</td>\n",
              "      <td>538</td>\n",
              "      <td>833</td>\n",
              "      <td>590</td>\n",
              "      <td>184</td>\n",
              "      <td>12895</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2 Região Nordeste</th>\n",
              "      <td>3232</td>\n",
              "      <td>3299</td>\n",
              "      <td>3138</td>\n",
              "      <td>3286</td>\n",
              "      <td>3312</td>\n",
              "      <td>3273</td>\n",
              "      <td>3416</td>\n",
              "      <td>3540</td>\n",
              "      <td>3570</td>\n",
              "      <td>3443</td>\n",
              "      <td>3474</td>\n",
              "      <td>3377</td>\n",
              "      <td>3514</td>\n",
              "      <td>3388</td>\n",
              "      <td>3177</td>\n",
              "      <td>2717</td>\n",
              "      <td>2047</td>\n",
              "      <td>2398</td>\n",
              "      <td>2684</td>\n",
              "      <td>2898</td>\n",
              "      <td>2652</td>\n",
              "      <td>65835</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3 Região Sudeste</th>\n",
              "      <td>7991</td>\n",
              "      <td>7297</td>\n",
              "      <td>7435</td>\n",
              "      <td>7359</td>\n",
              "      <td>7789</td>\n",
              "      <td>7235</td>\n",
              "      <td>7861</td>\n",
              "      <td>8286</td>\n",
              "      <td>8116</td>\n",
              "      <td>8481</td>\n",
              "      <td>8131</td>\n",
              "      <td>7880</td>\n",
              "      <td>8195</td>\n",
              "      <td>7728</td>\n",
              "      <td>7075</td>\n",
              "      <td>5460</td>\n",
              "      <td>5398</td>\n",
              "      <td>5348</td>\n",
              "      <td>5958</td>\n",
              "      <td>5621</td>\n",
              "      <td>5834</td>\n",
              "      <td>150478</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4 Região Sul</th>\n",
              "      <td>6366</td>\n",
              "      <td>6335</td>\n",
              "      <td>6377</td>\n",
              "      <td>6469</td>\n",
              "      <td>6525</td>\n",
              "      <td>6119</td>\n",
              "      <td>6394</td>\n",
              "      <td>5943</td>\n",
              "      <td>6288</td>\n",
              "      <td>6874</td>\n",
              "      <td>6306</td>\n",
              "      <td>6235</td>\n",
              "      <td>6222</td>\n",
              "      <td>6248</td>\n",
              "      <td>6060</td>\n",
              "      <td>5219</td>\n",
              "      <td>4638</td>\n",
              "      <td>4538</td>\n",
              "      <td>4639</td>\n",
              "      <td>4384</td>\n",
              "      <td>4927</td>\n",
              "      <td>123106</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5 Região Centro-Oeste</th>\n",
              "      <td>1552</td>\n",
              "      <td>1583</td>\n",
              "      <td>1658</td>\n",
              "      <td>1573</td>\n",
              "      <td>1753</td>\n",
              "      <td>1613</td>\n",
              "      <td>1418</td>\n",
              "      <td>1659</td>\n",
              "      <td>1594</td>\n",
              "      <td>1593</td>\n",
              "      <td>1581</td>\n",
              "      <td>1560</td>\n",
              "      <td>1632</td>\n",
              "      <td>1644</td>\n",
              "      <td>1530</td>\n",
              "      <td>1426</td>\n",
              "      <td>1174</td>\n",
              "      <td>1154</td>\n",
              "      <td>1285</td>\n",
              "      <td>1203</td>\n",
              "      <td>1077</td>\n",
              "      <td>31262</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>19861</td>\n",
              "      <td>19136</td>\n",
              "      <td>19237</td>\n",
              "      <td>19390</td>\n",
              "      <td>20146</td>\n",
              "      <td>18871</td>\n",
              "      <td>19573</td>\n",
              "      <td>20021</td>\n",
              "      <td>20089</td>\n",
              "      <td>21180</td>\n",
              "      <td>20171</td>\n",
              "      <td>19651</td>\n",
              "      <td>20283</td>\n",
              "      <td>19638</td>\n",
              "      <td>18472</td>\n",
              "      <td>15375</td>\n",
              "      <td>13737</td>\n",
              "      <td>13976</td>\n",
              "      <td>15399</td>\n",
              "      <td>14696</td>\n",
              "      <td>14674</td>\n",
              "      <td>383576</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                       2019/Jan  2019/Fev  2019/Mar  ...  2020/Ago  2020/Set   Total\n",
              "Região                                               ...                            \n",
              "1 Região Norte              720       622       629  ...       590       184   12895\n",
              "2 Região Nordeste          3232      3299      3138  ...      2898      2652   65835\n",
              "3 Região Sudeste           7991      7297      7435  ...      5621      5834  150478\n",
              "4 Região Sul               6366      6335      6377  ...      4384      4927  123106\n",
              "5 Região Centro-Oeste      1552      1583      1658  ...      1203      1077   31262\n",
              "Total                     19861     19136     19237  ...     14696     14674  383576\n",
              "\n",
              "[6 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 506
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dZzSONhADKol"
      },
      "source": [
        "###Internações por Lesões Autoprovocadas Expontâneas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "id": "AG101Zo2DQws",
        "outputId": "d2b1e570-0ffb-4f76-ce84-f251d321ab45"
      },
      "source": [
        "df_lesoes_autoprovocadas_2019_2020.set_index('Região', inplace=True)\n",
        "df_lesoes_autoprovocadas_2019_2020"
      ],
      "execution_count": 507,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>2019/Jan</th>\n",
              "      <th>2019/Fev</th>\n",
              "      <th>2019/Mar</th>\n",
              "      <th>2019/Abr</th>\n",
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              "      <th>2019/Set</th>\n",
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              "      <th>2019/Dez</th>\n",
              "      <th>2020/Jan</th>\n",
              "      <th>2020/Fev</th>\n",
              "      <th>2020/Mar</th>\n",
              "      <th>2020/Abr</th>\n",
              "      <th>2020/Mai</th>\n",
              "      <th>2020/Jun</th>\n",
              "      <th>2020/Jul</th>\n",
              "      <th>2020/Ago</th>\n",
              "      <th>2020/Set</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Região</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1 Região Norte</th>\n",
              "      <td>33</td>\n",
              "      <td>36</td>\n",
              "      <td>26</td>\n",
              "      <td>31</td>\n",
              "      <td>26</td>\n",
              "      <td>17</td>\n",
              "      <td>35</td>\n",
              "      <td>28</td>\n",
              "      <td>29</td>\n",
              "      <td>33</td>\n",
              "      <td>31</td>\n",
              "      <td>35</td>\n",
              "      <td>27</td>\n",
              "      <td>37</td>\n",
              "      <td>32</td>\n",
              "      <td>30</td>\n",
              "      <td>23</td>\n",
              "      <td>22</td>\n",
              "      <td>21</td>\n",
              "      <td>17</td>\n",
              "      <td>17</td>\n",
              "      <td>586</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2 Região Nordeste</th>\n",
              "      <td>144</td>\n",
              "      <td>92</td>\n",
              "      <td>131</td>\n",
              "      <td>185</td>\n",
              "      <td>166</td>\n",
              "      <td>68</td>\n",
              "      <td>116</td>\n",
              "      <td>99</td>\n",
              "      <td>115</td>\n",
              "      <td>109</td>\n",
              "      <td>115</td>\n",
              "      <td>116</td>\n",
              "      <td>158</td>\n",
              "      <td>111</td>\n",
              "      <td>93</td>\n",
              "      <td>89</td>\n",
              "      <td>69</td>\n",
              "      <td>86</td>\n",
              "      <td>90</td>\n",
              "      <td>76</td>\n",
              "      <td>81</td>\n",
              "      <td>2309</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3 Região Sudeste</th>\n",
              "      <td>525</td>\n",
              "      <td>465</td>\n",
              "      <td>533</td>\n",
              "      <td>481</td>\n",
              "      <td>544</td>\n",
              "      <td>465</td>\n",
              "      <td>459</td>\n",
              "      <td>449</td>\n",
              "      <td>559</td>\n",
              "      <td>610</td>\n",
              "      <td>646</td>\n",
              "      <td>537</td>\n",
              "      <td>565</td>\n",
              "      <td>543</td>\n",
              "      <td>534</td>\n",
              "      <td>356</td>\n",
              "      <td>384</td>\n",
              "      <td>347</td>\n",
              "      <td>409</td>\n",
              "      <td>371</td>\n",
              "      <td>383</td>\n",
              "      <td>10165</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4 Região Sul</th>\n",
              "      <td>112</td>\n",
              "      <td>111</td>\n",
              "      <td>119</td>\n",
              "      <td>119</td>\n",
              "      <td>146</td>\n",
              "      <td>122</td>\n",
              "      <td>94</td>\n",
              "      <td>107</td>\n",
              "      <td>116</td>\n",
              "      <td>137</td>\n",
              "      <td>142</td>\n",
              "      <td>138</td>\n",
              "      <td>121</td>\n",
              "      <td>153</td>\n",
              "      <td>135</td>\n",
              "      <td>89</td>\n",
              "      <td>93</td>\n",
              "      <td>92</td>\n",
              "      <td>85</td>\n",
              "      <td>92</td>\n",
              "      <td>100</td>\n",
              "      <td>2423</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5 Região Centro-Oeste</th>\n",
              "      <td>62</td>\n",
              "      <td>61</td>\n",
              "      <td>50</td>\n",
              "      <td>54</td>\n",
              "      <td>60</td>\n",
              "      <td>52</td>\n",
              "      <td>67</td>\n",
              "      <td>97</td>\n",
              "      <td>105</td>\n",
              "      <td>91</td>\n",
              "      <td>85</td>\n",
              "      <td>92</td>\n",
              "      <td>96</td>\n",
              "      <td>118</td>\n",
              "      <td>92</td>\n",
              "      <td>75</td>\n",
              "      <td>66</td>\n",
              "      <td>67</td>\n",
              "      <td>54</td>\n",
              "      <td>50</td>\n",
              "      <td>51</td>\n",
              "      <td>1545</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>876</td>\n",
              "      <td>765</td>\n",
              "      <td>859</td>\n",
              "      <td>870</td>\n",
              "      <td>942</td>\n",
              "      <td>724</td>\n",
              "      <td>771</td>\n",
              "      <td>780</td>\n",
              "      <td>924</td>\n",
              "      <td>980</td>\n",
              "      <td>1019</td>\n",
              "      <td>918</td>\n",
              "      <td>967</td>\n",
              "      <td>962</td>\n",
              "      <td>886</td>\n",
              "      <td>639</td>\n",
              "      <td>635</td>\n",
              "      <td>614</td>\n",
              "      <td>659</td>\n",
              "      <td>606</td>\n",
              "      <td>632</td>\n",
              "      <td>17028</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                       2019/Jan  2019/Fev  2019/Mar  ...  2020/Ago  2020/Set  Total\n",
              "Região                                               ...                           \n",
              "1 Região Norte               33        36        26  ...        17        17    586\n",
              "2 Região Nordeste           144        92       131  ...        76        81   2309\n",
              "3 Região Sudeste            525       465       533  ...       371       383  10165\n",
              "4 Região Sul                112       111       119  ...        92       100   2423\n",
              "5 Região Centro-Oeste        62        61        50  ...        50        51   1545\n",
              "Total                       876       765       859  ...       606       632  17028\n",
              "\n",
              "[6 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 507
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LVnOYInCDY-8"
      },
      "source": [
        "###Óbitos por Lesões Autoprovocadas Expontâneas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "id": "LN2XX8HqDgZU",
        "outputId": "d4184cfe-d5f8-4dc2-edc7-b7492c915d08"
      },
      "source": [
        "df_obitos_lesoes_autoprovocadas_2019_2020.set_index('Região', inplace=True)\n",
        "df_obitos_lesoes_autoprovocadas_2019_2020"
      ],
      "execution_count": 508,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>2019/Jan</th>\n",
              "      <th>2019/Fev</th>\n",
              "      <th>2019/Mar</th>\n",
              "      <th>2019/Abr</th>\n",
              "      <th>2019/Mai</th>\n",
              "      <th>2019/Jun</th>\n",
              "      <th>2019/Jul</th>\n",
              "      <th>2019/Ago</th>\n",
              "      <th>2019/Set</th>\n",
              "      <th>2019/Out</th>\n",
              "      <th>2019/Nov</th>\n",
              "      <th>2019/Dez</th>\n",
              "      <th>2020/Jan</th>\n",
              "      <th>2020/Fev</th>\n",
              "      <th>2020/Mar</th>\n",
              "      <th>2020/Abr</th>\n",
              "      <th>2020/Mai</th>\n",
              "      <th>2020/Jun</th>\n",
              "      <th>2020/Jul</th>\n",
              "      <th>2020/Ago</th>\n",
              "      <th>2020/Set</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Região</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1 Região Norte</th>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>1</td>\n",
              "      <td>-</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>-</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2 Região Nordeste</th>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>10</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>106</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3 Região Sudeste</th>\n",
              "      <td>18</td>\n",
              "      <td>12</td>\n",
              "      <td>18</td>\n",
              "      <td>17</td>\n",
              "      <td>31</td>\n",
              "      <td>22</td>\n",
              "      <td>11</td>\n",
              "      <td>16</td>\n",
              "      <td>28</td>\n",
              "      <td>15</td>\n",
              "      <td>12</td>\n",
              "      <td>28</td>\n",
              "      <td>22</td>\n",
              "      <td>22</td>\n",
              "      <td>15</td>\n",
              "      <td>21</td>\n",
              "      <td>21</td>\n",
              "      <td>15</td>\n",
              "      <td>20</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>412</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4 Região Sul</th>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>-</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5 Região Centro-Oeste</th>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>-</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>26</td>\n",
              "      <td>26</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>45</td>\n",
              "      <td>28</td>\n",
              "      <td>18</td>\n",
              "      <td>31</td>\n",
              "      <td>41</td>\n",
              "      <td>29</td>\n",
              "      <td>19</td>\n",
              "      <td>40</td>\n",
              "      <td>29</td>\n",
              "      <td>32</td>\n",
              "      <td>31</td>\n",
              "      <td>35</td>\n",
              "      <td>31</td>\n",
              "      <td>26</td>\n",
              "      <td>35</td>\n",
              "      <td>31</td>\n",
              "      <td>33</td>\n",
              "      <td>632</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      2019/Jan 2019/Fev 2019/Mar  ... 2020/Ago 2020/Set  Total\n",
              "Região                                            ...                         \n",
              "1 Região Norte               -        -        -  ...        -        -     19\n",
              "2 Região Nordeste            3        6        3  ...        3        6    106\n",
              "3 Região Sudeste            18       12       18  ...       24       24    412\n",
              "4 Região Sul                 2        4        2  ...        2        1     54\n",
              "5 Região Centro-Oeste        3        4        -  ...        2        2     41\n",
              "Total                       26       26       23  ...       31       33    632\n",
              "\n",
              "[6 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 508
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XV4bOQOp4XGw"
      },
      "source": [
        "###Tratamento dos dados de Lesões Autoprovocadas Expontâneas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "id": "OARB3Aoj4iZD",
        "outputId": "cfeb2194-1f01-40b3-a8ee-a2cfa369a8d1"
      },
      "source": [
        "df_obitos_lesoes_autoprovocadas_2019_2020.replace('-', 0, inplace = True)\n",
        "df_obitos_lesoes_autoprovocadas_2019_2020 = df_obitos_lesoes_autoprovocadas_2019_2020.astype('int64')\n",
        "df_obitos_lesoes_autoprovocadas_2019_2020"
      ],
      "execution_count": 509,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>2019/Jan</th>\n",
              "      <th>2019/Fev</th>\n",
              "      <th>2019/Mar</th>\n",
              "      <th>2019/Abr</th>\n",
              "      <th>2019/Mai</th>\n",
              "      <th>2019/Jun</th>\n",
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              "      <th>2019/Out</th>\n",
              "      <th>2019/Nov</th>\n",
              "      <th>2019/Dez</th>\n",
              "      <th>2020/Jan</th>\n",
              "      <th>2020/Fev</th>\n",
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              "      <th>2020/Abr</th>\n",
              "      <th>2020/Mai</th>\n",
              "      <th>2020/Jun</th>\n",
              "      <th>2020/Jul</th>\n",
              "      <th>2020/Ago</th>\n",
              "      <th>2020/Set</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Região</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1 Região Norte</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2 Região Nordeste</th>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>10</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>106</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3 Região Sudeste</th>\n",
              "      <td>18</td>\n",
              "      <td>12</td>\n",
              "      <td>18</td>\n",
              "      <td>17</td>\n",
              "      <td>31</td>\n",
              "      <td>22</td>\n",
              "      <td>11</td>\n",
              "      <td>16</td>\n",
              "      <td>28</td>\n",
              "      <td>15</td>\n",
              "      <td>12</td>\n",
              "      <td>28</td>\n",
              "      <td>22</td>\n",
              "      <td>22</td>\n",
              "      <td>15</td>\n",
              "      <td>21</td>\n",
              "      <td>21</td>\n",
              "      <td>15</td>\n",
              "      <td>20</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>412</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4 Região Sul</th>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5 Região Centro-Oeste</th>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>26</td>\n",
              "      <td>26</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>45</td>\n",
              "      <td>28</td>\n",
              "      <td>18</td>\n",
              "      <td>31</td>\n",
              "      <td>41</td>\n",
              "      <td>29</td>\n",
              "      <td>19</td>\n",
              "      <td>40</td>\n",
              "      <td>29</td>\n",
              "      <td>32</td>\n",
              "      <td>31</td>\n",
              "      <td>35</td>\n",
              "      <td>31</td>\n",
              "      <td>26</td>\n",
              "      <td>35</td>\n",
              "      <td>31</td>\n",
              "      <td>33</td>\n",
              "      <td>632</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                       2019/Jan  2019/Fev  2019/Mar  ...  2020/Ago  2020/Set  Total\n",
              "Região                                               ...                           \n",
              "1 Região Norte                0         0         0  ...         0         0     19\n",
              "2 Região Nordeste             3         6         3  ...         3         6    106\n",
              "3 Região Sudeste             18        12        18  ...        24        24    412\n",
              "4 Região Sul                  2         4         2  ...         2         1     54\n",
              "5 Região Centro-Oeste         3         4         0  ...         2         2     41\n",
              "Total                        26        26        23  ...        31        33    632\n",
              "\n",
              "[6 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 509
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EkJHvymyD_HO"
      },
      "source": [
        "###Casos de Covid-19 Brasil"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 531
        },
        "id": "PTnjF1BjEEQU",
        "outputId": "766bdcb2-fcd8-4dba-f185-c36057ef7f58"
      },
      "source": [
        "df_casos_covid.head(10)"
      ],
      "execution_count": 510,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>state</th>\n",
              "      <th>city</th>\n",
              "      <th>place_type</th>\n",
              "      <th>confirmed</th>\n",
              "      <th>deaths</th>\n",
              "      <th>order_for_place</th>\n",
              "      <th>is_last</th>\n",
              "      <th>estimated_population_2019</th>\n",
              "      <th>estimated_population</th>\n",
              "      <th>city_ibge_code</th>\n",
              "      <th>confirmed_per_100k_inhabitants</th>\n",
              "      <th>death_rate</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-11-05</td>\n",
              "      <td>AC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>state</td>\n",
              "      <td>31248</td>\n",
              "      <td>697</td>\n",
              "      <td>234</td>\n",
              "      <td>True</td>\n",
              "      <td>881935.0</td>\n",
              "      <td>894470.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3493.46540</td>\n",
              "      <td>0.0223</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2020-11-04</td>\n",
              "      <td>AC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>state</td>\n",
              "      <td>31218</td>\n",
              "      <td>696</td>\n",
              "      <td>233</td>\n",
              "      <td>False</td>\n",
              "      <td>881935.0</td>\n",
              "      <td>894470.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3490.11146</td>\n",
              "      <td>0.0223</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2020-11-03</td>\n",
              "      <td>AC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>state</td>\n",
              "      <td>30962</td>\n",
              "      <td>695</td>\n",
              "      <td>232</td>\n",
              "      <td>False</td>\n",
              "      <td>881935.0</td>\n",
              "      <td>894470.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3461.49116</td>\n",
              "      <td>0.0224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2020-11-02</td>\n",
              "      <td>AC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>state</td>\n",
              "      <td>30954</td>\n",
              "      <td>693</td>\n",
              "      <td>231</td>\n",
              "      <td>False</td>\n",
              "      <td>881935.0</td>\n",
              "      <td>894470.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3460.59678</td>\n",
              "      <td>0.0224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-11-01</td>\n",
              "      <td>AC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>state</td>\n",
              "      <td>30951</td>\n",
              "      <td>693</td>\n",
              "      <td>230</td>\n",
              "      <td>False</td>\n",
              "      <td>881935.0</td>\n",
              "      <td>894470.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3460.26138</td>\n",
              "      <td>0.0224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2020-10-31</td>\n",
              "      <td>AC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>state</td>\n",
              "      <td>30796</td>\n",
              "      <td>693</td>\n",
              "      <td>229</td>\n",
              "      <td>False</td>\n",
              "      <td>881935.0</td>\n",
              "      <td>894470.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3442.93269</td>\n",
              "      <td>0.0225</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2020-10-30</td>\n",
              "      <td>AC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>state</td>\n",
              "      <td>30758</td>\n",
              "      <td>693</td>\n",
              "      <td>228</td>\n",
              "      <td>False</td>\n",
              "      <td>881935.0</td>\n",
              "      <td>894470.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3438.68436</td>\n",
              "      <td>0.0225</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2020-10-29</td>\n",
              "      <td>AC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>state</td>\n",
              "      <td>30638</td>\n",
              "      <td>692</td>\n",
              "      <td>227</td>\n",
              "      <td>False</td>\n",
              "      <td>881935.0</td>\n",
              "      <td>894470.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3425.26859</td>\n",
              "      <td>0.0226</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2020-10-28</td>\n",
              "      <td>AC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>state</td>\n",
              "      <td>30545</td>\n",
              "      <td>691</td>\n",
              "      <td>226</td>\n",
              "      <td>False</td>\n",
              "      <td>881935.0</td>\n",
              "      <td>894470.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3414.87138</td>\n",
              "      <td>0.0226</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2020-10-27</td>\n",
              "      <td>AC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>state</td>\n",
              "      <td>30380</td>\n",
              "      <td>690</td>\n",
              "      <td>225</td>\n",
              "      <td>False</td>\n",
              "      <td>881935.0</td>\n",
              "      <td>894470.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3396.42470</td>\n",
              "      <td>0.0227</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         date state  ... confirmed_per_100k_inhabitants death_rate\n",
              "0  2020-11-05    AC  ...                     3493.46540     0.0223\n",
              "1  2020-11-04    AC  ...                     3490.11146     0.0223\n",
              "2  2020-11-03    AC  ...                     3461.49116     0.0224\n",
              "3  2020-11-02    AC  ...                     3460.59678     0.0224\n",
              "4  2020-11-01    AC  ...                     3460.26138     0.0224\n",
              "5  2020-10-31    AC  ...                     3442.93269     0.0225\n",
              "6  2020-10-30    AC  ...                     3438.68436     0.0225\n",
              "7  2020-10-29    AC  ...                     3425.26859     0.0226\n",
              "8  2020-10-28    AC  ...                     3414.87138     0.0226\n",
              "9  2020-10-27    AC  ...                     3396.42470     0.0227\n",
              "\n",
              "[10 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 510
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EBchlU6qZ6G0"
      },
      "source": [
        "###Tratamento nos dados de Casos de COVID no Brasil para obter apenas informações referentes a casos de COVID por Regiãodo Brasil\n",
        "(Creditos ao colega de curso **Matheus Naranjo Correa** que realizou um excelente trabalho no filtro por regiões do Brasil dos dados de Casos Covid Brasil)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "9QijqYZfZ4TJ",
        "outputId": "385096e7-8f80-4128-b907-5b4bebb3b6cf"
      },
      "source": [
        "df_covid_contam_regiao_br = df_casos_covid.drop(['order_for_place','estimated_population_2019','estimated_population','confirmed_per_100k_inhabitants',\n",
        "                       'death_rate','is_last','city'],axis=1)\n",
        "df_covid_contam_regiao_br['city_ibge_code'] = df_covid_contam_regiao_br['city_ibge_code'].astype(\"string\")\n",
        "df_covid_contam_regiao_br['date'] = df_covid_contam_regiao_br['date'].astype(\"string\")\n",
        "df_covid_contam_regiao_br['regiao'] = df_covid_contam_regiao_br['city_ibge_code'].str[0]\n",
        "df_covid_contam_regiao_br['Ano-Mes'] = df_covid_contam_regiao_br['date'].str[0:7]\n",
        "\n",
        "df_covid_contam_regiao_br.head()"
      ],
      "execution_count": 511,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>state</th>\n",
              "      <th>place_type</th>\n",
              "      <th>confirmed</th>\n",
              "      <th>deaths</th>\n",
              "      <th>city_ibge_code</th>\n",
              "      <th>regiao</th>\n",
              "      <th>Ano-Mes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-11-05</td>\n",
              "      <td>AC</td>\n",
              "      <td>state</td>\n",
              "      <td>31248</td>\n",
              "      <td>697</td>\n",
              "      <td>12.0</td>\n",
              "      <td>1</td>\n",
              "      <td>2020-11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2020-11-04</td>\n",
              "      <td>AC</td>\n",
              "      <td>state</td>\n",
              "      <td>31218</td>\n",
              "      <td>696</td>\n",
              "      <td>12.0</td>\n",
              "      <td>1</td>\n",
              "      <td>2020-11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2020-11-03</td>\n",
              "      <td>AC</td>\n",
              "      <td>state</td>\n",
              "      <td>30962</td>\n",
              "      <td>695</td>\n",
              "      <td>12.0</td>\n",
              "      <td>1</td>\n",
              "      <td>2020-11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2020-11-02</td>\n",
              "      <td>AC</td>\n",
              "      <td>state</td>\n",
              "      <td>30954</td>\n",
              "      <td>693</td>\n",
              "      <td>12.0</td>\n",
              "      <td>1</td>\n",
              "      <td>2020-11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-11-01</td>\n",
              "      <td>AC</td>\n",
              "      <td>state</td>\n",
              "      <td>30951</td>\n",
              "      <td>693</td>\n",
              "      <td>12.0</td>\n",
              "      <td>1</td>\n",
              "      <td>2020-11</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         date state place_type  ...  city_ibge_code  regiao  Ano-Mes\n",
              "0  2020-11-05    AC      state  ...            12.0       1  2020-11\n",
              "1  2020-11-04    AC      state  ...            12.0       1  2020-11\n",
              "2  2020-11-03    AC      state  ...            12.0       1  2020-11\n",
              "3  2020-11-02    AC      state  ...            12.0       1  2020-11\n",
              "4  2020-11-01    AC      state  ...            12.0       1  2020-11\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 511
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "ifQ8o0DId-eL",
        "outputId": "0107522e-ba70-44f1-ca87-ba2d8bb9050b"
      },
      "source": [
        "#isolar estados\n",
        "somente_estados = df_covid_contam_regiao_br['place_type'] == 'state'\n",
        "df_covid_contam_regiao_br = df_covid_contam_regiao_br[somente_estados]\n",
        "df_covid_contam_regiao_br = df_covid_contam_regiao_br.drop('place_type', axis = 1)\n",
        "\n",
        "#Atribuir Nome das Regiões\n",
        "regioes_map = {1:\"Norte\",2:\"Nordeste\",3:\"Sudeste\",4:\"Sul\",5:\"Centro-Oeste\"}\n",
        "df_covid_contam_regiao_br['regiao'] = df_covid_contam_regiao_br['regiao'].map(lambda x: regioes_map[int(x)])\n",
        "\n",
        "df_covid_contam_regiao_br.head()"
      ],
      "execution_count": 512,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>state</th>\n",
              "      <th>confirmed</th>\n",
              "      <th>deaths</th>\n",
              "      <th>city_ibge_code</th>\n",
              "      <th>regiao</th>\n",
              "      <th>Ano-Mes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-11-05</td>\n",
              "      <td>AC</td>\n",
              "      <td>31248</td>\n",
              "      <td>697</td>\n",
              "      <td>12.0</td>\n",
              "      <td>Norte</td>\n",
              "      <td>2020-11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2020-11-04</td>\n",
              "      <td>AC</td>\n",
              "      <td>31218</td>\n",
              "      <td>696</td>\n",
              "      <td>12.0</td>\n",
              "      <td>Norte</td>\n",
              "      <td>2020-11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2020-11-03</td>\n",
              "      <td>AC</td>\n",
              "      <td>30962</td>\n",
              "      <td>695</td>\n",
              "      <td>12.0</td>\n",
              "      <td>Norte</td>\n",
              "      <td>2020-11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2020-11-02</td>\n",
              "      <td>AC</td>\n",
              "      <td>30954</td>\n",
              "      <td>693</td>\n",
              "      <td>12.0</td>\n",
              "      <td>Norte</td>\n",
              "      <td>2020-11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-11-01</td>\n",
              "      <td>AC</td>\n",
              "      <td>30951</td>\n",
              "      <td>693</td>\n",
              "      <td>12.0</td>\n",
              "      <td>Norte</td>\n",
              "      <td>2020-11</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         date state  confirmed  deaths city_ibge_code regiao  Ano-Mes\n",
              "0  2020-11-05    AC      31248     697           12.0  Norte  2020-11\n",
              "1  2020-11-04    AC      31218     696           12.0  Norte  2020-11\n",
              "2  2020-11-03    AC      30962     695           12.0  Norte  2020-11\n",
              "3  2020-11-02    AC      30954     693           12.0  Norte  2020-11\n",
              "4  2020-11-01    AC      30951     693           12.0  Norte  2020-11"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 512
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AXPcYePkopko"
      },
      "source": [
        "df_covid_contam_regiao_br_2020_Mes = df_covid_contam_regiao_br.groupby(['Ano-Mes','regiao'])[['confirmed']].sum()\n",
        "df_covid_contam_regiao_br_2020_Mes = df_covid_contam_regiao_br_2020_Mes.reset_index('Ano-Mes')\n",
        "\n",
        "df_covid_contam_regiao_br_2020_Mes = df_covid_contam_regiao_br_2020_Mes.reset_index('regiao')\n",
        "df_covid_contam_regiao_br_2020_Mes\n",
        "\n",
        "dados_sudeste = df_covid_contam_regiao_br_2020_Mes['regiao'] == 'Sudeste'\n",
        "dados_sudeste = df_covid_contam_regiao_br_2020_Mes[dados_sudeste]\n",
        "#retirar apenas um número de 2 do quantitativo de casos confirmados do sudeste\n",
        "dados_sudeste = dados_sudeste.T.drop(0, axis = 1)\n",
        "dados_sudeste = dados_sudeste.T\n",
        "\n",
        "dados_norte = df_covid_contam_regiao_br_2020_Mes['regiao'] == 'Norte'\n",
        "dados_norte = df_covid_contam_regiao_br_2020_Mes[dados_norte]\n",
        "\n",
        "dados_nordeste = df_covid_contam_regiao_br_2020_Mes['regiao'] == 'Nordeste'\n",
        "dados_nordeste = df_covid_contam_regiao_br_2020_Mes[dados_nordeste]\n",
        "\n",
        "dados_centro_oeste = df_covid_contam_regiao_br_2020_Mes['regiao'] == 'Centro-Oeste'\n",
        "dados_centro_oeste = df_covid_contam_regiao_br_2020_Mes[dados_centro_oeste]\n",
        "\n",
        "dados_sul= df_covid_contam_regiao_br_2020_Mes['regiao'] == 'Sul'\n",
        "dados_sul= df_covid_contam_regiao_br_2020_Mes[dados_sul]\n",
        "\n",
        "df_contaminCovid_por_mes_2020 = pd.DataFrame(columns=dados_sudeste['Ano-Mes'], index=['Centro-Oeste', 'Nordeste', 'Norte','Sudeste', 'Sul'] )\n",
        "df_contaminCovid_por_mes_2020 = df_contaminCovid_por_mes_2020.T\n",
        "df_contaminCovid_por_mes_2020['Centro-Oeste'] = dados_centro_oeste['confirmed'].tolist()\n",
        "df_contaminCovid_por_mes_2020['Nordeste'] = dados_nordeste['confirmed'].tolist()\n",
        "df_contaminCovid_por_mes_2020['Norte'] = dados_norte['confirmed'].tolist()\n",
        "df_contaminCovid_por_mes_2020['Sudeste'] = dados_sudeste['confirmed'].tolist()\n",
        "df_contaminCovid_por_mes_2020['Sul'] = dados_sul['confirmed'].tolist()\n",
        "\n",
        "df_contaminCovid_por_mes_2020 = df_contaminCovid_por_mes_2020.T\n"
      ],
      "execution_count": 513,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t_EEvS6J36-J"
      },
      "source": [
        "###Tabela de Casos Confirmados de Covid por Região no ano de 2020, nossos dados de escopo de trabalho"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "-iMmhODv4G2Q",
        "outputId": "50092a95-c325-46d4-9f09-5f0e5c088810"
      },
      "source": [
        "df_contaminCovid_por_mes_2020 = df_contaminCovid_por_mes_2020.rename(columns=({'2020-03':'2020/Mar','2020-04':'2020/Abr','2020-05':'2020/Mai','2020-06':'2020/Jun',\n",
        "                                                                               '2020-07':'2020/Jul','2020-08':'2020/Ago','2020-09':'2020/Set','2020-10':'2020/Out',\n",
        "                                                                               '2020-11':'2020/Nov'}))\n",
        "df_contaminCovid_por_mes_2020"
      ],
      "execution_count": 577,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>Ano-Mes</th>\n",
              "      <th>2020/Mar</th>\n",
              "      <th>2020/Abr</th>\n",
              "      <th>2020/Mai</th>\n",
              "      <th>2020/Jun</th>\n",
              "      <th>2020/Jul</th>\n",
              "      <th>2020/Ago</th>\n",
              "      <th>2020/Set</th>\n",
              "      <th>2020/Out</th>\n",
              "      <th>2020/Nov</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Centro-Oeste</th>\n",
              "      <td>3557</td>\n",
              "      <td>41883</td>\n",
              "      <td>251963</td>\n",
              "      <td>1544733</td>\n",
              "      <td>5272771</td>\n",
              "      <td>10859786</td>\n",
              "      <td>15659797</td>\n",
              "      <td>20183007</td>\n",
              "      <td>3414748</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nordeste</th>\n",
              "      <td>5961</td>\n",
              "      <td>267575</td>\n",
              "      <td>2687857</td>\n",
              "      <td>9874258</td>\n",
              "      <td>20929651</td>\n",
              "      <td>31353137</td>\n",
              "      <td>37180718</td>\n",
              "      <td>43337054</td>\n",
              "      <td>7351961</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Norte</th>\n",
              "      <td>1651</td>\n",
              "      <td>110243</td>\n",
              "      <td>1526945</td>\n",
              "      <td>5654653</td>\n",
              "      <td>10545486</td>\n",
              "      <td>14837398</td>\n",
              "      <td>17673659</td>\n",
              "      <td>20621894</td>\n",
              "      <td>3295545</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sudeste</th>\n",
              "      <td>21367</td>\n",
              "      <td>557397</td>\n",
              "      <td>3128419</td>\n",
              "      <td>9833642</td>\n",
              "      <td>21377855</td>\n",
              "      <td>35618976</td>\n",
              "      <td>45954136</td>\n",
              "      <td>55985234</td>\n",
              "      <td>9762952</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sul</th>\n",
              "      <td>4990</td>\n",
              "      <td>78004</td>\n",
              "      <td>370558</td>\n",
              "      <td>1339784</td>\n",
              "      <td>4537807</td>\n",
              "      <td>9993537</td>\n",
              "      <td>15590865</td>\n",
              "      <td>20016190</td>\n",
              "      <td>3654122</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Ano-Mes       2020/Mar  2020/Abr  2020/Mai  ...  2020/Set  2020/Out  2020/Nov\n",
              "Centro-Oeste      3557     41883    251963  ...  15659797  20183007   3414748\n",
              "Nordeste          5961    267575   2687857  ...  37180718  43337054   7351961\n",
              "Norte             1651    110243   1526945  ...  17673659  20621894   3295545\n",
              "Sudeste          21367    557397   3128419  ...  45954136  55985234   9762952\n",
              "Sul               4990     78004    370558  ...  15590865  20016190   3654122\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 577
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "8NPDaAXf5o1s",
        "outputId": "01851d31-18af-4326-aba4-3eeed7bcfe8e"
      },
      "source": [
        "df_transtornos_mentais_internacoes_2019_2020_sem_totais = df_transtornos_mentais_internacoes_2019_2020.drop('Total', axis = 0)\n",
        "df_transtornos_mentais_internacoes_2019_2020_sem_totais = df_transtornos_mentais_internacoes_2019_2020_sem_totais.drop('Total', axis = 1)\n",
        "#Plot do Gráfico\n",
        "axis = df_transtornos_mentais_internacoes_2019_2020_sem_totais.T.plot(figsize = (8,6), x_compat = True, colormap = 'Dark2', fontsize = 12)\n",
        "plt.xticks(rotation=45)\n",
        "plt.title('Internações de Transtornos Mentas 2019-2020')\n",
        "plt.legend(loc = 'right', bbox_to_anchor=(1.50, 0.8), fontsize = 14)"
      ],
      "execution_count": 515,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fc6657e3c50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 515
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tctvrStP_o2x"
      },
      "source": [
        "###Para delimitarmos melhor o espoco relacionado aos casos confirmados de Covid-19, vamos considerar apenas os meses do anos de 2020 até Setembro"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TRIN5zJn5F8-"
      },
      "source": [
        "df_transtornos_mentais_internacoes_2020_sem_totais = df_transtornos_mentais_internacoes_2019_2020_sem_totais[df_transtornos_mentais_internacoes_2019_2020_sem_totais.columns[-9:]]\n"
      ],
      "execution_count": 516,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6xlaniiIcQGc"
      },
      "source": [
        "Definir uma função para setar e retirar a linha e a coluna de 'Total' e uma função para plotar todos os gráficos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pEJvCL5OcLcj"
      },
      "source": [
        "def RetiraTotaisSlice2020(tabela_dados):\n",
        "  tabela_dados = tabela_dados[tabela_dados.columns[-10:]]\n",
        "  tabela_dados = tabela_dados.drop('Total', axis = 0)\n",
        "  tabela_dados = tabela_dados.drop('Total', axis = 1)\n",
        "  return tabela_dados\n",
        "\n",
        "def plotGrafico(table_dados, cor_map, titulo):\n",
        "  axis = table_dados.T.plot( figsize = (10,6), colormap = cor_map, fontsize = 12, linewidth=5 )\n",
        "  plt.xticks(rotation=45)\n",
        "  plt.title(titulo, {'size':14})\n",
        "  axis.xaxis.grid(True)\n",
        "  axis.yaxis.grid(True)\n",
        "  plt.legend(loc = 'right', bbox_to_anchor=(1.6, 0.8), fontsize = 14)\n",
        "  return"
      ],
      "execution_count": 542,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 895
        },
        "id": "_g4AjzxX_4Wt",
        "outputId": "df77e21d-278d-4f4d-aba6-355c28ae3d9e"
      },
      "source": [
        "df_lesoes_autoprovocadas_2020 = RetiraTotaisSlice2020(df_lesoes_autoprovocadas_2019_2020)                                    \n",
        "df_obitos_lesoes_autoprovocadas_2020 = RetiraTotaisSlice2020(df_obitos_lesoes_autoprovocadas_2019_2020)\n",
        "\n",
        "plotGrafico(df_transtornos_mentais_internacoes_2020_sem_totais, 'icefire_r', 'Internações por Transtornos Mentais 2020\\nJaneiro até Setembro')\n",
        "plotGrafico(df_lesoes_autoprovocadas_2020, 'crest', 'Internações por Lesões Autoprovocadas Expontâneas 2020\\nTentativa de Suicídio\\nJaneiro até Setembro')"
      ],
      "execution_count": 590,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ajFGcVhjn3Lt"
      },
      "source": [
        "#Considerações\n",
        "##Gráficos de Internações\n",
        "No gráfico **\"Transtornos Mentais 2020 de Janeiro até Setembro\"**, podemos observar que existe uma queda na quantidade de internações, mais acentuada, nas regiões Sudeste, Sul e Nordeste, nos perído do mês de Fevereiro de 2020 a Abril de 2020, inicio da pandemia de Covid-19 no Brasil. Há também uma pequena queda de internações nas regiões Norte e Centro-Oeste.\n",
        "\n",
        "No gráfico de **Internações por Lesões Autoprovocadas Expontâneas 2020, Tentativa de Suicídio, de Janeiro até Setembro**, percebe-se um número elevado de casos da região Sudeste que também tiveram uma queda na quantidade de internações, mais acentuada, no perído do mês de Fevereiro de 2020 a Abril de 2020, inicio da pandemia de Covid-19 no Brasil. Nas outras regiões também é perceptível a queda no quantitativo de internações no período do inicio da pandemia.\n",
        "\n",
        "Nos dois gráficos, os valores de internações mantiveram uma estabilidade após o período inicial da pandemia, que é inferior a quantidade de internações no inicio do ano de 2020.\n",
        "\n",
        "**Uma suposição possível, seria a redução da quantidade de leitos para internações de pacientes de saúde mental, em detrimento dos leitos para os casos de covid-19. Além, da temerosidade dos pacientes e familiares de pessoas com doença mental pela contaminação do Corona vírus.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 930
        },
        "id": "PyMZ0EEfh7BT",
        "outputId": "dd392f1a-d183-47c7-82f5-28b172a04aa8"
      },
      "source": [
        "plotGrafico(df_obitos_lesoes_autoprovocadas_2020, 'crest_r', 'Óbitos por  Lesões Autoprovocadas Expontâneas 2020\\nÓbitos por Suicídio\\nJaneiro até Setembro')\n",
        "plotGrafico(df_contaminCovid_por_mes_2020/100, 'flare_r', 'Casos Totais de covid confirmados \\nPor região do Brasil em 2020\\nJaneiro até Setembro')"
      ],
      "execution_count": 578,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-5yZ-Zniqyk8"
      },
      "source": [
        "#Considerações\n",
        "##Gráficos de Óbitos por Lesões Autoprovocadas Expontâneas - Suicídios\n",
        "Neste gráfico os valores dos dados são diminutos e espaçados. Há mais dados na região Sudeste. \n",
        "A pouca informação disponível nesta base de dados, me levanta a suspeita que esses dados estão distantes da realidade, e parecem refletir uma subnotificação ou até mesmo omissão na coleta de quantitativos de suicídios.\n",
        "Melhor adotar uma outra método para o estudo deste gráfico\n",
        "\n",
        "#Considerações\n",
        "##Gráficos de Casos de Covid por Região do Brasil\n",
        "No gráfico de **Casos Totais de Covid-19 confirmados Por região do Brasil em 2020 de Janeiro até Setembro**, verifica-se o aumento de casos de COVID-19, em todas as regiões do Brasil apartir do mês de Maio de 2020, atingindo o pico em Outubro de 2020, próximo aos 600 mil casos. \n",
        "O decaimento dos casos em Novembro de 2020 se refere o mês não ter findado e o quantitativo de casos confirmados totais ainda estarem indisponíveis."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U_NZ878C05yr"
      },
      "source": [
        "#Etapa 2\n",
        "Apartir desta etapa de análise será considerado apenas a região Sudeste, visto que os caso de Covid-19, de Internações por Transtornos Mentais, e de Internações por Lesões Autoprovocadas Expontâneas, tem maior quantitativo e aparentam ser mais bem notificadas que nas demais regiões do Brasil.\n",
        "\n",
        "Os dados de Óbitos por Lesões Autoprovocadas Expontâneas, Suicídios, serão abandonados, pois a aparente subnotificação, ou não notificação desses casos, reduz a confiabilidade nos dados, possivelmente não se aproximando da realidade\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GejFlTmW2oPp"
      },
      "source": [
        "###Isolar os casos da região sudeste do ano de 2020"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WaSMxcSV24nf"
      },
      "source": [
        "df_transtornos_mentais_sudeste_2020 = df_transtornos_mentais_internacoes_2020_sem_totais.loc['3 Região Sudeste']\n",
        "df_lesoes_autoprovocadas_sudeste_2020 = df_lesoes_autoprovocadas_2020.loc['3 Região Sudeste']\n",
        "df_contaminCovid_sudeste_2020 = df_contaminCovid_por_mes_2020.loc['Sudeste']\n",
        "\n",
        "#Eliminar o mês de Novembro da tabela de Casos de Covid, pois a totalidade dos dados não está disponível.\n",
        "df_contaminCovid_sudeste_2020 = df_contaminCovid_sudeste_2020.drop('2020/Nov', axis = 0)\n",
        "\n",
        "#Eliminar o mês de Outubo da tabela de Casos de Covid, para ser correlato aos casos de internação\n",
        "df_contaminCovid_sudeste_2020 = df_contaminCovid_sudeste_2020.drop('2020/Out', axis = 0)\n"
      ],
      "execution_count": 719,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "id": "f2UzNGmoICmd",
        "outputId": "3a72f7a7-85e0-49e4-8103-5e4eeadd364a"
      },
      "source": [
        "#Incluindo 2020/Jan e 2020/Fev nos Casos Covid\n",
        "s1 = pd.Series([0,0],index=['2020/Jan', '2020/Fev'])\n",
        "df_contaminCovid_sudeste_2020 = df_contaminCovid_sudeste_2020.append(s1)\n",
        "df_contaminCovid_sudeste_2020\n",
        "df_contaminCovid_sudeste_2020 = df_contaminCovid_sudeste_2020.reset_index(level=None)\n",
        "df_contaminCovid_sudeste_2020['ordem'] = [3,4,5,6,7,8,9,1,2]\n",
        "df_contaminCovid_sudeste_2020.set_index('ordem', inplace=True)\n",
        "df_contaminCovid_sudeste_2020 = df_contaminCovid_sudeste_2020.sort_index()\n",
        "df_contaminCovid_sudeste_2020 = df_contaminCovid_sudeste_2020.reset_index('ordem')\n",
        "df_contaminCovid_sudeste_2020 = df_contaminCovid_sudeste_2020.drop('ordem', axis= 1)\n",
        "\n",
        "#Ajustando Nomes de Tabelas e Indices\n",
        "df_contaminCovid_sudeste_2020 = df_contaminCovid_sudeste_2020.rename(columns=({'index':'mes_ano',0:'casos_confirmados'}))\n",
        "df_contaminCovid_sudeste_2020.set_index('mes_ano', inplace=True)"
      ],
      "execution_count": 720,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>casos_confirmados</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mes_ano</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2020/Jan</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020/Fev</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020/Mar</th>\n",
              "      <td>21367</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020/Abr</th>\n",
              "      <td>557397</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020/Mai</th>\n",
              "      <td>3128419</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020/Jun</th>\n",
              "      <td>9833642</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020/Jul</th>\n",
              "      <td>21377855</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020/Ago</th>\n",
              "      <td>35618976</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020/Set</th>\n",
              "      <td>45954136</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          casos_confirmados\n",
              "mes_ano                    \n",
              "2020/Jan                  0\n",
              "2020/Fev                  0\n",
              "2020/Mar              21367\n",
              "2020/Abr             557397\n",
              "2020/Mai            3128419\n",
              "2020/Jun            9833642\n",
              "2020/Jul           21377855\n",
              "2020/Ago           35618976\n",
              "2020/Set           45954136"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 720
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KHhBQxA1PtBs"
      },
      "source": [
        "Embora os CIDs de Internações por Transtornos Mentais e Internações por Lesões Autoprovocadas Expontâneas sejam diferentes, a partir deste ponto vou juntá-los, seus dados tem a mesma tendência, e os dados de Internações por Lesões Autoprovocadas Expontâneas são inferiores em termos quantitativos.\n",
        "Além do que, tentativas de suícidio se enquadram em transtornos mentais.\n",
        "Ainda manterá o mesmo sentido,  e será denominado Internações por Transtornos Mentais"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mwRDIEDJQswm"
      },
      "source": [
        "df_inter_transtor_mentais_20202 = df_transtornos_mentais_sudeste_2020 + df_lesoes_autoprovocadas_sudeste_2020"
      ],
      "execution_count": 746,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 478
        },
        "id": "mKv6M-X4DHis",
        "outputId": "1158ed63-bdb3-4e36-a6cd-1555eb785510"
      },
      "source": [
        "x = df_contaminCovid_sudeste_2020.index\n",
        "y1 = df_contaminCovid_sudeste_2020/1000\n",
        "y2 = df_inter_transtor_mentais_20202\n",
        "\n",
        "#Criar a área de plotagem e os dois eixos y\n",
        "fig, ax1 = plt.subplots(figsize=(8,6))\n",
        "plt.xticks( rotation = 90)\n",
        "ax2 = ax1.twinx()\n",
        "\n",
        "\n",
        "curva1, = ax1.plot(x, y1, label='Casos de Covid SE', color='k', marker=\".\", markersize=18, linewidth=3 )\n",
        "curva2, = ax2.plot(x, y2, label='Internação Transtorno Mental SE', color='b',  marker=\".\", markersize=18, linewidth=3)\n",
        "\n",
        "#Criar uma lista para acessar os parametros das curvas\n",
        "curvas = [curva1, curva2]\n",
        "\n",
        "#Criar a legenda do gráfico\n",
        "ax1.legend(curvas, [curve.get_label() for curve in curvas], loc = 'best', bbox_to_anchor=(1.30, 0.8), fontsize = 14)\n",
        "\n",
        "#Criar os labels de cada eixo\n",
        "ax1.set_xlabel('Meses 2020', {'size':12})\n",
        "ax1.set_ylabel('Casos Covid SE', {'size':12}, color=curva1.get_color())\n",
        "ax2.set_ylabel('Internação Transtorno Mental SE', {'size':12}, color=curva2.get_color())\n",
        "\n",
        "#Alterar a cor dos eixos y\n",
        "ax1.tick_params(axis='y', colors=curva1.get_color())\n",
        "ax2.tick_params(axis='y', colors=curva2.get_color())\n",
        "\n",
        "plt.title('Comparativo Casos COVID-19 Confirmados 2020 \\n X Casos de Internação Transtorno Mental\\nRegião SE', {'size':14})\n",
        "plt.show()"
      ],
      "execution_count": 753,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xXmmKyYzReFz"
      },
      "source": [
        "#Considerações\n",
        "##Gráficos Comparativo Casos COVID-19 Confirmados 2020 X Casos de Internação Transtorno Mental Região SE\n",
        "Neste gráfico fica mais evidente a constatação de que a quantidade de internações para pessoas com doença mental reduziu em quase 25% quando iniciaram os casos de pandêmia de COVID-19.\n",
        "Possivelmente, os leitos foram priorizados para os pacientes de COVID-19, ao invés dos pacientes com Transtorno Mental.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RKP_QuU3S5tm"
      },
      "source": [
        "#Considerações Finais\n",
        "A hipótese proposta no inicio do projeto:\n",
        "\n",
        "**O COVID-19 agravou os aparecimentos de doenças relacionadas ao transtorno mental e de comportamento, como Lesões Autoprovocadas Espontâneas , tentativas de suicídio, e óbito por Lesões Autoprovocadas Espontâneas, suicídio.**\n",
        "\n",
        "Considerando os dados obtidos no base de dados do SUS, TABNET, a análise destes, os casos de Internação por Transtorno Mental, ou por Lesões Autoprovocadas Espontâneas, e os casos confirmados de COVID-19, a hipótese não se confirma.\n",
        "Portanto, as doenças relacionadas ao transtorno mental não aumentaram com a pandemia de COVID-19.\n",
        "\n",
        "Entretanto,\n",
        "\n",
        "**Limitações dos Dados**\n",
        "\n",
        "A não internação de pessoas com doenças mentais não indica que elas deixaram de existir, e sim, deixaram de receber os tratamentos antes disponíveis.\n",
        "\n",
        "Neste trabalho também não se considerou as redes de apoio CRAS, CAPS, clínicas particulares, ou tratamentos da rede privada, com terapeutas, psicólogos e psiquiatras.\n",
        "\n",
        "Por fim,\n",
        "\n",
        "Os especialistas na área indicam uma tendência de aumento nos casos de Transtornos mentais durante e no pós-pandemia. \n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Yf6TavZSTxFu"
      },
      "source": [
        "Para isto vamos utilizar os dados do TABNET de Internações de Transtornos Mentais ou de Comportamentos de 2008 a 2018"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8KOZsctpT2BB"
      },
      "source": [
        "df_internacoes_trans_mentais_2008_2018 = pd.read_csv('/content/drive/MyDrive/Arquivos_Data_Science_Carregar_Colab/transtornos_mentais_por_regiao_br_internacoes_2008_2018.csv',\n",
        "                                                            encoding='latin-1', skiprows=4,skipfooter = 6, sep=';', engine = 'python')\n",
        "\n",
        "df_internacoes_trans_mentais_2008_2018.set_index('Região', inplace=True)\n",
        "df_internacoes_trans_mentais_2008_2018= df_internacoes_trans_mentais_2008_2018.drop('Total', axis=0)\n",
        "df_internacoes_trans_mentais_2008_2018= df_internacoes_trans_mentais_2008_2018.drop('Total', axis=1)\n",
        "df_internacoes_trans_mentais_2008_2018= df_internacoes_trans_mentais_2008_2018.drop('2019', axis=1)\n",
        "df_internacoes_trans_mentais_2008_2018= df_internacoes_trans_mentais_2008_2018.drop('2020', axis=1)"
      ],
      "execution_count": 763,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 412
        },
        "id": "BLlBSeXOU2Mv",
        "outputId": "ffca71e3-f4c4-4fe4-8ca1-21ba5bd728d4"
      },
      "source": [
        "plotGrafico(df_internacoes_trans_mentais_2008_2018, 'winter', \"Ted\")"
      ],
      "execution_count": 765,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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65Y9xDw+PuszMTFFZWVlLTnT48GFDjUYDb2/vus68Fxsbm6ZZs2YVrFy50rp14mxiYqIxNzdvPHr0qGHr83///XcjFxeXe15bIBBwbZP6QYMG1XIch+vXr+u2/YwcHBwaOxNrX0E9uF1ogoc59k/2xvM7zqOm8fYvWm5UN2D4lnPYP3kAAm3uOZ2AEEIIIYT0El25wNPDqqio4KWlpekBAMdxyM3NFRw/flxkbm6u1s4L7Qw+n49Zs2YVrlq1qt/ChQuL3nnnncLvv//eLCQkxHHx4sUFlpaWjZmZmXo7d+40WbduXZ5UKtW8/vrrhWvXrrV0c3OrUygUqjVr1pgXFxfrymSydpM7c3NztbGxcdPGjRvNHBwcGnJycnQXL15sw+fzW3o/Z86cWRoZGWk1ceJEh48//ji/pKSEP3fuXLuRI0eWdzT/trWPPvroZkxMjOzXX3+VBgYGtszFnTt3bsGnn35q7eLiUh8YGFizefNm0+TkZMOvvvrqwr2u5+TkVF9fX8/27NkjDggIqDU0NNR4e3vXjx07tvSNN96wLy4uvjZo0KCa4uJincOHDxs5OTnVv/rqq+X3umZfQj24XewZRyl+e9UHpqI7v1sor2tC8HcpOHi5tBsiI4QQQggh5O6OHj1qMGTIEM8hQ4Z41tXV8VatWmU1ZMgQz8WLF1vd77XmzZtXrFar2cqVK2X29vaNCQkJ6Twejxs3bpyLn5+ffMGCBXYCgUAjEok4AIiIiCiYMGFCyZw5c+yHDRvmAQAjR44s187jbYvP5yMmJuZqenq6vlKp9FqwYIHdsmXLrrce3mtkZKSJi4u7VF1dzR8+fLjHpEmTnJVKZfX27duz7+e9SCQSzaJFi/Lb7mH7wQcfFM6ePbsgPDy8v1Kp9Nq/f7/xli1brnS04vGzzz5bM3ny5KLp06c7WFlZKcLDwy0B4Mcff8wOCwsr+fDDD/srFAr5hAkTXI4dO2bk6OjY6S8X+gLGcY9kr+MnwsCBA7mkpKTHfp/4+HgEBQXd85wLRTUY+V0Krlfd+d+jLo/hu/EemCSXPaYI+57OtAnpetQuPQ+1Sc9E7dLzdEWbMMaSOY4b+FhvQrpFSkpKtkKhKO7uOJ50Hh4env7+/lUxMTF53R0L6VopKSlmCoXCvr0y6sHtJp7mBvjfdD+4mNy5sFSjhsPfd1/AhqT8boiMEEIIIYSQniUzM1Pw+eefm6WkpOidPn1aOG3aNJvMzEzRjBkzSro7NtKzUILbjeyMhTg23Rc+loZ3lHEAZv2SiZVHc9CXetkJIYQQQghpi8fjcT/88IPp0KFDPYKCgjySk5MNYmNjLw0fPry2u2MjPQstMtXNZAYCxL/qg5AfzuNobsUd5R/8loWS2kZ8PtKp08uVE0IIIYQQ0ps4Ozs3JicnZ3R3HKTnox7cHkAi1MHBl7wxxtW03fIvfr+GGXsz0KShLa4IIYQQQggh5G4owe0hRLp8/HuiF17ytmi3/NtzBXgx9gLqmtRdHBkhhBBCCCGEPBkowe1BdPk8xIxzx1v+1u2W/5RejL99fx5V9U1dHBkhhBBCCCGE9HyU4PYwPMYQNdoZEUH27ZYfyS7HX7amoKiGtrsihBBCCCGEkNYowe2BGGP46Gl7rPmrc7vlSflVGL7lHPIq6ro4MkIIIYQQQgjpuSjB7cHm+vfH9xM8oMO7c/Xk9OJaDNl8FhnFtDI6IYQQQgghhACU4PZ4kwdY4KdJcgh17myqvMp6DP32LM7cqOqGyAghhBBCCOk5QkND7UeMGHHbEMiQkBAHCwsL73379hlNnjzZds+ePeLuiu9hvPLKK7b+/v5u3R3Hk4AS3CfAc66m+PVlb0j0+HeUFdc2ImjLOcRnl3VDZIQQQgghpK9YsmSJpVwu9zA0NPSVSqWKv/zlL86nT58W3qtOXFycEWNMqX0YGxv7BAQEuB46dMjgUce3cePGvNjY2Czt68rKSl5WVpYwJibm6tKlS60zMjJEo0aNeuieIcaYUldX1+/ChQuC1sfbS7B7Kn9/f7dXXnnFtrvjeBwowX1CDLU1RvxUH1gY6N5RVtWgxuhtf2BvRnE3REYIIYQQQvqCo0ePGr3++uuFR44cuXjw4MFMPp/P/fWvf3W7efPmnb0wbSQlJaXl5OSkHDp0KMPU1LQpNDTU5fr16zqPMj5TU1O1mZlZy56aYrFYk5qaenH06NHVKSkp6cnJyRn6+vrco7gXn8/H+++/3/7WJw+hvr7+zrmJ5L5QgvsE8bE0wrHpvrA3vvOLsno1hwk7U7E1paAbIiOEEEIIIb3dsWPHLs2fP7/kqaeeqvP391ft2rUrq6ysTOe///2vYUd1raysmmxtbZv8/f1V4eHhN6qrq/kJCQktvbjJycnCoKAgZwMDA18TExNFSEiIQ25ubksC3NjYiBkzZtiIxWIfsVjsM2PGDJspU6bcNmy3bQ/qrl27xEql0k0sFvtIJBKfoUOHupw5c+a2P6RPnTolGjx4sKtQKPSTSCQ+oaGh9iUlJR0m7FOnTi3cv3+/ydGjR/Xvdo5arcaiRYv6WVpaegsEAj9XV1fPbdu2GWvLMzIyBIwx5YYNG0wCAgJchUKh36pVq8yampowc+bM/tr3On36dBu1Wn3btTUaDZYuXWphY2MjFwqFfq6urp7r1q0zaX3Ou+++28/KymqAQCDwMzMzU4wfP95e+zmdPn3a8LvvvjPX9qxnZGQIOtMOT4InKlgCOJvo49g0X4zaloK0otsXmFJzwKs/paNU1YgFATbdFCEhhBBCCOksNiJb2d0xcEfskx+kXnl5OV+j0cDU1FTd8dm3VFVV8aKjo00BQCAQcACQk5OjGxwc7BYWFlb8xRdfXGtsbGRLliyxHjNmjPPZs2fT+Xw+wsPDLWNjY01Xr16d7evrq4qKipLt3bvXxMPDQ3W3e1VXV/PmzZt3U6lUqmpra3kRERH9xo0b55yZmZkmFAq5yspK3pgxY1y8vb1rEhMTLxYVFfHnzJljP3nyZPuDBw9eudf7GDRoUE1ubm7Ze++91//EiROZ7Z2zYsUK2fr16y0///zznMGDB9ds3rzZ9NVXX3VydHS8MHjw4Ja4ly9fbr1ixYprgYGB2bq6utyyZcssfvjhB7Mvv/wyR6lUqqKiosx//vlnU09Pz5Y//ufPn2+9b98+6Zdffpkrl8vr4uPjDd9++207ExMTdVhYWMWWLVuMv/nmG8t//etfV5VKperGjRs6x44dMwBuDeW+evWq0NnZuW7VqlXXgFtfQHSmHZ4ElOA+gazFekic5ou/ff8HTl6/cxrB2wevoKS2CctH2IMxGuVACCGEEEIevdmzZ9u4u7urnnnmmeqOznVychoAAHV1dTyO4+Dl5VUbEhJSBQBffvmlubu7u2r9+vXXtefv3LkzSyaT+SQmJuqPGDGiNjo6WjZ37tyCqVOnlgPApk2b8o4cOSK51z2152rt2LEjWyqV+iYkJBiMGjWqOjo62kSlUvFiY2OzpFKpBgA4jssJCQlxTU1N1ZPL5fX3uv6nn3563dfX12vXrl3iF154obJt+dq1ay1nzZpVMGvWrFIAiIqKyj9+/LhRZGSk5c8//9wyV/i1114rnDZtWsuCOhs3brR48803C1577bUyANi8eXNeQkJCy3utrKzkRUdHW/z000+Zo0ePrgYAd3f30lOnThmsX7/ePCwsrCI7O1vPzMyscfz48ZV6enqci4tLw/Dhw2uBW0O5dXV1OZFIpLG1tW3SXrcz7XCvz6OnoCHKTygTkS4Ov6LAs47SdstXHM3B3P2XoOEeyTQDQgghhBBCWrz22mv9k5KSDHfv3n1ZR6fjPrMDBw5k/P777xc2bNhw1drauiEmJiZLT0+PA4Bz587pnz592lBfX99X+7Czs/MGgMzMTGFJSQm/uLhYNyAgoEZ7PR6PBx8fn5q73Q8A0tLS9EJCQhxsbGzkhoaGvpaWlgqNRoOsrCwBAFy8eFHo6uqq0ia3ABAcHFzN4/GQkpJyz8WzAEAul9eHhYUVL126tH/bIcSlpaW8oqIi3WHDht2W/AcEBFRdunTptmv7+/u3vI+SkhJ+UVGR7pAhQ1qO8fn8297r2bNnhfX19Wz8+PEurT+zbdu2mefk5AgB4KWXXiptaGhgtra2AyZOnGi3efNmqUqlumfPV0ft0NHn0VNQD+4TzFCgg31/H4CX9lzErgtFd5SvS8pHaV0TYsa5Q8Cn7zIIIYQQQsjDmzFjhs3evXulhw4dyvT09GzoTB1XV9eGfv36NXl7e9fX1dXxXnjhBacLFy5cEIlEnEajYUFBQRVRUVHX2taztrZu1Gg0DzQkMSQkxNnS0rJhzZo1Oba2to26urqcr6+vV0NDQ4fX6+woyJUrV+a7u7sP+Oabb0w6Prv9axsZGWnucmq71Go1A4CdO3dednR0vO3z1w77dnZ2brx8+XLq3r17xb/++qv4gw8+6P/JJ59YJScnXxSLxe3er6N2uJ8YuxNlPU84PR0edoR64nW/fu2W70gtxLgdqaht7PTUCEIIIYQQQto1bdo0m59//tnk4MGDmb6+vnUPco0333yzpKmpiUVGRsoAQKFQ1F66dEnk4uLSIJfL61s/pFKppnl15MaTJ0+2LEql0WiQkpJy1wWeCgoK+FlZWcIlS5YUjBs3rsrPz6+uoqKCr00OAcDDw6MuMzNTVFZW1pITHT582FCj0cDb27tT783GxqZp1qxZBStXrrRunTibmJhozM3NG48ePXrbAly///67kYuLy12vbWpqqjY3N288fvz4be/13LlzLa99fX1VAoGAy8rKErT9vFxdXVsSXn19fS4sLKxi06ZNeadOnbp4+fJl4eHDhw0BQFdXV9O217mjdujM59ETUA9uL8DnMWwY4wpTkS7++b/cO8oPXC7Fs9+lIO7vAyAV3bnNECGEEEII6R4PusBTd3j55Zdt9+zZY7p9+/bLZmZmTdrVdSUSiUYikXQ6AeLz+Zg1a1bhqlWr+i1cuLDonXfeKfz+++/NQkJCHBcvXlxgaWnZmJmZqbdz506TdevW5UmlUs3rr79euHbtWks3N7c6hUKhWrNmjXlxcbGuTCZrt2fR3NxcbWxs3LRx40YzBweHhpycHN3Fixfb8Pn8lvl7M2fOLI2MjLSaOHGiw8cff5xfUlLCnzt3rt3IkSPLO5p/29pHH310MyYmRvbrr79KAwMDW+bizp07t+DTTz+1dnFxqQ8MDKzZvHmzaXJysuFXX3114V7Xe/311wtXr15t6ebmVu/n51cbFRUla/1epVKp5o033igIDw+34TgOwcHB1ZWVlbxjx44Z8ng87t133y1evXq1aVNTExs6dGiNWCxWb9261URHR4fz9PSsAwBbW9uGc+fOGWRkZAjEYrFGJpM1daYdOvuZdCfqwe0lGGP4JNgRnwY7tlt+PK8SQTHncKOq07+rhBBCCCGEtNi2bZt5TU0N7/nnn3e1s7NTaB8RERGW93utefPmFavVarZy5UqZvb19Y0JCQjqPx+PGjRvn4ufnJ1+wYIGdQCDQiEQiDgAiIiIKJkyYUDJnzhz7YcOGeQDAyJEjy7XzeNvi8/mIiYm5mp6erq9UKr0WLFhgt2zZsuvaIbzAraHBcXFxl6qrq/nDhw/3mDRpkrNSqazevn179v28F4lEolm0aFF+2z1sP/jgg8LZs2cXhIeH91cqlV779+833rJly5XAwMC7rvwMAMuWLSuYOHFiyVtvvWU3dOhQD41Gg+eff76k9TlRUVH5ixYtyl+zZo2ln5+f13PPPef6008/GTs5OTUAgFQqVW/dutXsmWeecfP19fXau3evdOvWrVfc3d0bAGDJkiUFurq6nI+Pj5eVlZXi8uXLgs60w5OAcX1oEaKBAwdySUlJj/0+8fHxCAoKeuz3uZtNZ25gZlwGNO00raNUiF9fVsBRKur6wLpRd7cJaR+1S89DbdIzUbv0PF3RJoyxZI7jBj7Wm5BukZKSkq1QKIq7O44nnYeHh6e/v39VTExMXnfHQrpWSkqKmUKhsG+vjHpwe6EZfv0Q+6IXBPw7J8dfLavD0M1nkVrY4WrupIdQazhU1DUhr6IOF4tqcLO6U2s5EEIIIX0Cd8sAACAASURBVIT0GpmZmYLPP//cLCUlRe/06dPCadOm2WRmZopmzJhR0nFt0pfQHNxeaoKHOfZP9sbzO86jpvH24fI3qhsw/Ntz+GXyAATa3HP7MPKA1BoOVQ1NqKxXo6pefdvzyvomVDXc/vzPn2pUtXnetv0AwMfSEGFeMkySm8PeuG/1xhNCCCGk7+HxeNwPP/xgGhER0V+j0TAnJydVbGzsJe3eroRoUYLbiz3jKMVvr/rgb9//gRJV021lZXVNCP4uBXsmyTHSqdOrmvdqTRpNc9J5KyFt/bzd5LTlnDsT1tp2ktJH6VxBNc4VVGPxf68ioL8YYV4yvOhlDisjvcd6X0IIIYSQ7uDs7NyYnJyc0d1xkJ6vUwkuY2wugKkABgD4geO4qc3HAwD8A4ASgBpAPIC3OI670VzOAPwTwGvNl/oXgMVc88RfxpgPgE0APABcBDCD47hzD1uX/MnfWozEab4Y+V0KrlfdPrS1tlGDMdvPY9sED0z0knVThI9HVX0TrpbV4WqZClnldTh1BdhRndGcsDYnom2SU1XTE7Ew3B1+v1aJ369V4u2Dl/G0vTHCvGQI9TSDmb6gu0MjhBBCCCGkS3W2BzcfwAoAowC0Hg8pBbARwEEATQC+BvAtgNHN5TMBjAOgAMAB+BVAFoBvGGMCAD8DiAKwDsAbAH5mjLlwHNfwkHVJK57mBvjfdD88+10KLpXevmhbo4ZD2K4LKK9rwkylVTdFeP+aNBpcq6xvSWKvltUhq/zP58W17awYf+1G1wfahTgA8dnliM8ux9wDl/CsoxRhchmedzODREiDNQghhBBCSO/Xqb96OY77NwAwxgYC6N/q+IHW5zHGvgaQ0OrQqwBWcRx3rbl8FYDXAXwDIKj5/lHNvbKrGWPvAvgLgP88ZF3Shp2xEMem+2LUtj9wruD2BaY4AG/EZaKkthGLh9riVud59ytTNd6WwF4tU+FqcxKbW1GPpvaWie6lDAV8GAn4EPAZcio63uqpScPhwOVSHLhcCj0+w99cTBEml2GMqyn0dfldEDEhhBBCCCFd71F36wwHkNbqtReAlFavU5qPacv+4G7fp+iP5uP/eci6pB0yAwHiX/XB2B3nkZhTcUf5//2WhRJVIz571qlLktwGtQY55bf3vLb+WVGvfuwxPE5GAj6M9G4lpmI9HRjpNf8UtD3Gh5FA59bPNs/Fejow0OWDz/uzPa6UqrAjtRA70gqRWljTYRz1ag570ouxJ70YBro8PO9uhjAvGUY6mUBPhxZSJ4QQQgghvccjS3AZY94APgLwfKvDhgBaZ1IVAAyb59e2LdOWGz2Cuq3jmolbw51hYWGB+Pj4zr+pB1RdXd0l93lQ/2cDNFYBJ0rvLFt14hrSsq7hXVegnV2G7gvHAeWNwI06IF8FFNQB+XXADdWtY0X1QE+a9coA6PMBER/Q17n1XJ8PGOg0H9M+7lKmfW7AB4R8gMfUuDU1/R7UAGqbH81UzY+b96g2BMAQDyDLFjhSCPxWBFy/55bht9Q0arD9fCG2ny+EoQ4wzAz4izngK3349n4QPf13pS+iNumZqF16HmoTQgjpmR5JgssYcwZwAMB8juOOtiqqBiBu9VoMoJrjOI4x1rZMW171COq24DhuI27NE8bAgQO5x70pO9A1m78/rL8EaTB9bwa2/XFnGvWfAkBobIYfQj0g1Ln3cFZVoxrZ5XVt5sL+2Qvb3hY3XYHPbg3LdpSK4GgshLr0Bvw8XW7rOW3bi6qvywevhwzP7qwgANMAcByHMzeqW3p2r1V2PIy5ugk4UHDrITPQxYue5giTyzDYRtJln8OT8LvS11Cb9EzULj0PtQkhhPRMD53gMsbsABwG8A+O475rU5yGW4tEnWp+rcCfQ5jTALzDGGOthhp7A1j7COqSDujyeYgZ5w4ToQ5Wn7p+R/lP6cV4bvt5/HuiHNUN6tuS1tY/b1R335peZvq6cDAWwlHanMi2+tlfrAcd3p/Db+PjbyDoKetui/VxY4xBaWUEpZURIp91xPG8CuxILUTshSIU1rSz4FYbhTWNWHs6H2tP56O/WA+TvG4lu8p+Rj1mTjYhhBBCyL2Ehobal5aW6hw5cuSy9lhISIjDqVOnjP71r39l/fDDD9IXX3yxfPz48ZXdGefdJCYm6j/99NMe6enp593c3Gjh3AfU2W2CdJrP5QPgM8aEuLVqsgWA3wB8zXHcN+1U3QpgIWNsP26tZfQOgDXNZfG4NUDzLcbYN7i1gBSar/ewdUkn8BhD1GhnmOnr4qP47DvKf8sqhzTyGLprKScBnzUnsLeSVgfjP5NYB6kQYj1aGbg9PMYw1NYYQ22NETXaGfHZ5diRWojdF4tRXtfUYf1rlfVYdeIaVp24BiepEGFyGcLkMshlhl0QPSGEEEJ6qk8++cT822+/Nc/Pz9cDAGdnZ9XixYtvhIWF3bm4S7O4uDijkJAQV+1riUSidnd3r12+fPn1kSNHdryYyH3YuHFjXusleiorK3lZWVnCmJiYq++//35/HR0dbtSoUXkPe59ffvnFcMWKFVbp6emiuro6npmZWaOvr2/Nli1bckxMTHrMDLzVq1ebLl682La2tvZsd8fSlTqbISwFEN7q9UsAInAr8XQEsIwxtkxbyHGc9i/hDc3l55tf/6v5GDiOa2CMjWs+9k/c2st2XKttfh6mLukkxhg+fNoeJiJdzD1w6Y7yx53cWhoK/ux5Nf4zeXWUCmFlpPfEDRnuaXR4PAQ7miDY0QTrntPg0JVS/JBaiJ/Tizs1fPxKWR0+PpqLj4/mQi4zQJiXDJPk5nA20e+C6AkhhBDSk9jY2DSuWLHimqenZ71Go0F0dLTZSy+95OTg4HBx0KBB91wNJCkpKc3c3LypoKBANyIiol9oaKhLenp6qrW1dcffvneSqanpbYufiMViTWpq6kUAGD16dPqjuEdycrIwNDTUdcqUKUVfffVVnqGhoTojI0O4e/du47q6Oh561hIzfVKnllDlOG4Zx3GszWMZx3ERzc8NWz9a1eM4jnuP4ziT5sd7rVc+5jjuLMdxSo7jRBzH+XEcd/ZR1CX3b46/Nb6f4AEd3qNNKPV1eZDLDBDiaor5g6zx1Whn7Pu7HGlvPoWa/xuGG+8Mxv+m++G78R6IGOGAV30sMdzOGP3FQkpuHzEBn4cxrmb4foInChcNwY8veGKChxn0Orm6VGphDZYeyYLLmlN4KjoZq47nIa+i7jFHTQghhJCe4qWXXiqfOHFipVwur/f29q5fs2bNdQMDA01iYqJBR3WtrKyabG1tm/z9/VXh4eE3qqur+QkJCS31kpOThUFBQc4GBga+JiYmipCQEIfc3NyWzrjGxkbMmDHDRiwW+4jFYp8ZM2bYTJkyxdbf399Ne05oaKj9iBEjnLWvd+3aJVYqlW5isdhHIpH4DB061OXMmTPC1nGdOnVKNHjwYFehUOgnkUh8QkND7UtKSu66CM0vv/wilkgkTZs2bcrz9/dXeXp6NowfP75y27ZtuVZWVk3ArV5rxpjyxo0bLfFnZGQIGGPKxMTEll6CXbt2iR0cHLz09PT8lEql24ULF4Rt7/frr78aPPXUU24ikchXJpN5T5kyxba0tLQlhztw4IChQqFw19fX9zUyMvIZMGCAx+nTp4VxcXFG8+fPt1epVDzGmJIxply4cKEVANTV1bHZs2dbW1hYeItEIl+5XO6xe/futusbPbFojCdpMXmABYyFOgj9MQ11TZ378okB6C/Wu23+a+uhxDIDXZrD2QPp6/LxopcML3rJUFnfhJ/Ti7EjrRCHrpR1an/hpPwqJOVX4d1fr2CorQRhXjK86GUOmYGgC6InhBBCeg8WEa/s7hi48KDk+63T1NSEzZs3S2tra3lPP/10p4caV1VV8aKjo00BQCAQcACQk5OjGxwc7BYWFlb8xRdfXGtsbGRLliyxHjNmjPPZs2fT+Xw+wsPDLWNjY01Xr16d7evrq4qKipLt3bvXxMPD4649x9XV1bx58+bdVCqVqtraWl5ERES/cePGOWdmZqYJhUKusrKSN2bMGBdvb++axMTEi0VFRfw5c+bYT5482f7gwYNX2rumpaVlY1lZmc6+ffuMQkJC7ljgtrMuX76sO2XKFOewsLCiBQsWFCUnJ4s++OADm9bnnDp1SvT888+7Llq0KH/z5s3ZRUVFOgsXLrSZPHmy/X/+85+rjY2NmDRpknNYWFjx9u3bsxoaGtjJkyf1+Xw+goODq5cvX563cuVK64yMjPMAIJFINAAwceJE+5ycHL0tW7ZctbOza/jpp58kYWFhzomJiRcDAwM7sS9Hz0YJLrnN31xMcfhlBV7ecxFZ5bd658R6fDhphw4b376Yk61ESHupPuHEejp4WWGJlxWWKKltxO6LRdiRWoj47PJODVE/lluBY7kVeOs/l/CMgxRhchnGu5tBKtJ97LETQgghpGudOnVKFBQU5N7Q0MATiUTq77777oq/v3+HSZGTk9MAAKirq+NxHAcvL69abYL45Zdfmru7u6vWr1/fsvLpzp07s2QymU9iYqL+iBEjaqOjo2Vz584tmDp1ajkAbNq0Ke/IkSOSe91Te67Wjh07sqVSqW9CQoLBqFGjqqOjo01UKhUvNjY2SyqVagCA47ickJAQ19TUVD25XH7HthTTp08vO3TokGTs2LGuJiYmTQqFomb48OFVM2fOLNH24HZGVFSUrF+/fg3ffvttHo/Hg6+vb11mZqbws88+s9Ke88knn1iMGTOmNCIiQrvtSf26detyhgwZ4nn9+nUdHR0drqqqiv/888+Xe3l51QOAr69vy/A6iUSiZozB1ta2Ja60tDS9uLg4k4yMjPMuLi4NAODp6Vn022+/ideuXWseGBiY29n30FNRgkvuMMRWgoy5/sivaoCRHh9SoQ71wvYRpvq6mKm0wkylFW5U1SP2wq1k98S1jhcb1HDAr1fL8OvVMsyKy8RoZxOEyWUY62YKQwH9r4YQQgjpDby9vetOnTp1oaysjL9jxw7p7Nmz7Z2cnDKeeuqpe85bOnDgQIZUKlWfPHlSPyIion9MTEyWnp4eBwDnzp3TP336tKG+vr5v23qZmZlCb2/v+uLiYt2AgICWnmIejwcfH5+a/Pz8uw4fS0tL01u8eLHVuXPnDMrKynQ1Gg00Gg2ysrIEAHDx4kWhq6urSpvcAkBwcHA1j8dDSkqKsL0EV0dHB7t27crOysq6vn//fqPff//dcO3atRZRUVH9Dh8+nD5w4MBOzd/KyMgQ+vr6VvNa7foxZMiQ6s8++6zl9fnz5w1yc3P19PX1TbTHtDM2L168qBccHFwTGhpaMmHCBNfAwMDKoKCgqilTppRpE9f2nDx5Up/jOCgUCq/WxxsaGlhAQMAD90j3JPRXJ2mXLp8HO+M7pgGQPqSfkR7eGtQfbw3qj+xyFX5Mu5Xsni2o7rBuo4bDvswS7MssgUiHhxA3U4R5yfBXF5MO91YmhBBCSM8lFAo5beI3bNiw2rNnzxp89tlnFj/++GPOveq5uro29OvXr8nb27u+rq6O98ILLzhduHDhgkgk4jQaDQsKCqqIioq61raetbV1o0ajeaCelpCQEGdLS8uGNWvW5Nja2jbq6upyvr6+Xg0NDR1er6POHQcHh8Y5c+aUzpkzp7SoqOi6q6ur/JNPPrHcvXt3Np/P54A/k1HgVgJ5v/FrNBpMmjSp+P3337/Ztsze3r4BAHbt2pV94sSJm3FxcZL9+/cb//Of/7T+/vvvL4eGhrbbO6FWq8EYw7Fjxy5qh4hrGRgY9IoFsijBJYR0yN5YhPeG2OK9IbZIL67BztQi/JB6ExklHU/TUDVp8GNaEX5MK4KRgI/xHmYI85Ih2FHaBZETQggh5HHSaDSor6+/r/lqb775Zsmnn37aLzIyUrZs2bKbCoWidu/evVIXF5cGba9uW2ZmZo0nT540GDt2bJX2vikpKfrm5ubtDgsuKCjgZ2VlCb/66qtc7VDoY8eO6avV6pZE08PDo27nzp1mZWVlPG0v7uHDhw01Gg28vb07vZKmubm52tzcvLGmpoYHABYWFk0AkJeXp6sdtnz69OnbtqBwc3Ori4uLk2o0Gmh7cY8fP37bYl1yubw2IyND1F5PcmuBgYGqwMBA1ccff1wwfPhwly1btpiGhoZWCgQCru2XA4MGDarlOA7Xr1/XfZg5xD0ZJbiEkPvibmaA8CADfPS0Hf64WYMdqYXYkVaI7PKO/x2oalBja8pNbE25CVORDgYbAxK3Kvj2M+qCyAkhhJCe50EWeOoub775pvXYsWMrHBwcGioqKvgxMTEmp06dMtqxY8ede03eA5/Px6xZswpXrVrVb+HChUXvvPNO4ffff28WEhLiuHjx4gJLS8vGzMxMvZ07d5qsW7cuTyqVal5//fXCtWvXWrq5udUpFArVmjVrzIuLi3VlMllje/cwNzdXGxsbN23cuNHMwcGhIScnR3fx4sU22t5VAJg5c2ZpZGSk1cSJEx0+/vjj/JKSEv7cuXPtRo4cWX63pPKzzz4zO3funH5oaGi5m5tbvUqlYps2bTK9dOmS6O233y4AAC8vr3pLS8uGDz/80Orzzz+/dvnyZb3IyMh+ra8zf/78oo0bN1rMmDHDZsGCBYVnzpzRj4mJkbU+54MPPigICgpynzx5su2cOXOKJBKJ5vz588J9+/YZb9++PSc9PV2wevVq8/Hjx5fb2dk1ZmRk6KWnp4umTp1aBABOTk719fX1bM+ePeKAgIBaQ0NDjbe3d/3YsWNL33jjDfvi4uJrgwYNqikuLtY5fPiwkZOTU/2rr75627zlJxGtDkQIeSCMMSgsDfFJsCOuvjUIv8/ww4JB/dHPsHMrKZeomrDvBuC3MRmBm85ga0oB6prUHVckhBBCSLe4efOm7vTp0x0GDBggHz16tOvZs2cNYmNjL02cOLHjxTramDdvXrFarWYrV66U2dvbNyYkJKTzeDxu3LhxLn5+fvIFCxbYCQQCjUgk4gAgIiKiYMKECSVz5syxHzZsmAcAjBw5svxuPb58Ph8xMTFX09PT9ZVKpdeCBQvsli1bdr31sFwjIyNNXFzcperqav7w4cM9Jk2a5KxUKqu3b9+efbe4Bw8eXKNSqXjz58+3VSqVXsHBwe7Hjx83+vrrr7Nmz55dCgB6enrc1q1br+bm5ur5+/t7LV++3CoiIuJ66+u4uLg0bN269cqRI0ck/v7+XmvWrLEIDw+/bYj2oEGDVAcPHszIy8vTGzVqlPtTTz3lGR4ebq1N6g0MDDSXL18WTpkyxUkul8tnzpxpP2HChNJ//OMfBQDw7LPP1kyePLlo+vTpDlZWVorw8HBLAPjxxx+zw8LCSj788MP+CoVCPmHCBJdjx44ZOTo63nXu7pOEtR4b3tsNHDiQS0pKeuz3iY+PR1BQ0GO/D+k8apOuo9ZwOJpbjh2phdh1oQglqs7v324q0sE0n36YNdAKTiaixxgluRv6XemZqF16nq5oE8ZYMsdxAx/rTUi3SElJyVYoFMXdHceTzsPDw9Pf378qJiYmr7tjIV0rJSXFTKFQ2LdXRkOUCSGPFJ/HEGQvRZC9FGv+6oL/ZpVhR2oh9qQXo7L+3j20JaomfH4iD5+fyMMoJynefMoaz7mYgs+jVbwJIYSQviwzM1Owd+9e8bPPPlvV0NDA1q1bZ56ZmSnasGFDdnfHRnoWSnAJIY+NLp+H0c6mGO1sim+a1DhwqRQ70gqxL6MEqqZ7L9R38EoZDl4pg41YD28orTDDzxKWhnpdFDkhhBBCehIej8f98MMPphEREf01Gg1zcnJSxcbGXho+fHhtd8dGehZKcAkhXUKow8d4D3OM9zBHdUMTdqQWIvJIJi53sOtQXmU9lh7JwrKEbIR6mGH2QGsMt5PQ3syEEEJIH+Ls7NyYnJyc0d1xkJ6PElxCSJczFOjgNT8rOFVkQuTii/VJ+diZWoh69d3XBGjScNiZVoSdaUXwNNfH7IFWeNnbEhIh/W+MEEIIIYTcQqsoE0K6DWNAQH8JYsZ54NrCQHz2rCMcpcIO610oqsW8A5dh/cVxzIrLQEpBB93AhBBCCCGkT6AElxDSI5jpC/DuYFtcmjcI/5nijbFupuhobamaRg02JN+Az4YkDNl8Btv+oK2GCCGEEEL6MhrbRwjpUXiMYZSzCUY5myC3og4bk/MRfeYGCmva3ce9xfG8ShzPq8TbB69ghq8l3lBawUFKWw0RQgghhPQl1INLCOmxbCVCrPiLI/LeDsSOUE8Mt5N0WKe4thGR/8uD0+qTeG77H4jLLIZa03f2+yaEEEII6cuoB5cQ0uMJ+DxMksswSS5DWmEN1iddx9aUm6hquPtwZA7A/kul2H+pFHYS7VZD/SAzEHRd4IQQQgghpEtRDy4h5IniJTPA139zxfWFgfjmOVd4Wxh0WCenoh7/91sW+n9xApN3X8Cx3HJwHPXqEkIIIb1JaGio/YgRI5xbHwsJCXGwsLDw3rdvn9HkyZNt9+zZI+6u+FrLyMgQMMaUiYmJ+t0dS29DCS4h5IlkpKeDNwZa4dwbA/G/6b6YMkAGAf/eq1I1ajj8kFqIYd+eg/c3SVh/+jqq6pu6KGJCCCGk91iyZIklY0z5yiuv2N7rvLi4OCPGmFL7MDY29gkICHA9dOhQx99Q36eNGzfmxcbGZmlfV1ZW8rKysoQxMTFXly5dap2RkSEaNWpU1cPe55dffjEMDAx0lUqlCpFI5GtjYyMfO3asQ2lpKeVWPQA1AiHkicYYw2AbCbZN8MS1twPxz2ccYW/c8VZDqYU1eHP/JVh9cQJv/pKJ8zdpqyFCCCGkM/773/8abN261dzV1VXV2TpJSUlpOTk5KYcOHcowNTVtCg0Ndbl+/fojnS5pamqqNjMza5m/JBaLNampqRdHjx5dnZKSkp6cnJyhr6//UEO4kpOThaGhoa6enp6qgwcPZiYnJ6etXr06VywWq+vq6ii36gGoEQghvYa5gQDvD7XF5XmD8MvkARjjaooOdhpCdYMa65Py4f1NEoZ9exY/nL+J+iZNl8RLCCGEPGlKSkr4U6dOdfjmm2+yJRJJp/fms7KyarK1tW3y9/dXhYeH36iuruYnJCS09OImJycLg4KCnA0MDHxNTEwUISEhDrm5uS0JcGNjI2bMmGEjFot9xGKxz4wZM2ymTJli6+/v76Y9p+0Q5V27domVSqWbWCz2kUgkPkOHDnU5c+bMbd+Cnzp1SjR48GBXoVDoJ5FIfEJDQ+1LSkr4d3sfv/zyi1gikTRt2rQpz9/fX+Xp6dkwfvz4ym3btuVaWVk1AX/2Wt+4caMlfhqS3HVokSlCSK/D5zH8zcUUf3MxRXa5ChuSbmDT2Rsoqr33VkPHcitwLLcC5vqX8ZpfP8xU9oO9MW01RAgh5PFhCVuU3R0D9/TU5M6e+8orr9iNGTOmLCQkpOof//jHfd+rqqqKFx0dbQoAAoGAA4CcnBzd4OBgt7CwsOIvvvjiWmNjI1uyZIn1mDFjnM+ePZvO5/MRHh5uGRsba7p69epsX19fVVRUlGzv3r0mHh4ed+1Frq6u5s2bN++mUqlU1dbW8iIiIvqNGzfOOTMzM00oFHKVlZW8MWPGuHh7e9ckJiZeLCoq4s+ZM8d+8uTJ9gcPHrzS3jUtLS0by8rKdPbt22cUEhLy0MOdyaNHCS4hpFezNxbhk2BHLAuyx+6LRViflI9juRX3rFNU24hPjuXin8dy8ZyrKWYPtMIoJxPweR31BxNCCCG916pVq8yys7P1/v3vf2d1fPbtnJycBgBAXV0dj+M4eHl51WoTxC+//NLc3d1dtX79+uva83fu3Jklk8l8EhMT9UeMGFEbHR0tmzt3bsHUqVPLAWDTpk15R44cuef+gdpztXbs2JEtlUp9ExISDEaNGlUdHR1tolKpeLGxsVlSqVQDABzH5YSEhLimpqbqyeXy+rbXnD59etmhQ4ckY8eOdTUxMWlSKBQ1w4cPr5o5c2aJtgeXdC8aokwI6RP0dHiYPMACR6f54o9ZAzF7oBUMBXcdgQTg1lZDcZkleG77ebisOYnIY7koqmnomoAJIYSQHiQlJUVvxYoV1tu3b7+qp6d33/NYDxw4kPH7779f2LBhw1Vra+uGmJiYLO11zp07p3/69GlDfX19X+3Dzs7OGwAyMzOFJSUl/OLiYt2AgIAa7fV4PB58fHxq7nY/AEhLS9MLCQlxsLGxkRsaGvpaWloqNBoNsrKyBABw8eJFoaurq0qb3AJAcHBwNY/HQ0pKSrsLeujo6GDXrl3ZV69e/WP58uV51tbWDWvXrrXw9PSUJyUldbwICHnsqAeXENLnDLAwxLrnXBEZ7Ihtf9zEuqR8pBbe899IZJXXYfF/r+Kj+CxM9JJh9kArBPYXgzHq1SWEENL7JSQkGJaXl+solUq59pharUZSUpLh9u3bzauqqs6IRKK7Jr6urq4N/fr1a/L29q6vq6vjvfDCC04XLly4IBKJOI1Gw4KCgiqioqKuta1nbW3dqNFoHugf25CQEGdLS8uGNWvW5Nja2jbq6upyvr6+Xg0NDR1er6N/3x0cHBrnzJlTOmfOnNKioqLrrq6u8k8++cRy9+7d2Xw+nwNw25aEnbkneTSoB5cQ0mcZ6elg9lPW+GPWQCRO9cHf5TLodjAMuUHNYdsfNzFk81n4bkjChqR8VDfQiCRCCCG92+TJk8tPnTqVduLEiZaHl5dX7XPPPVd64sSJtPvp1X3zzTdLmpqaWGRkpAwAFApF7aVLl0QuLi4Ncrm8vvVDKpVqmldHbjx58mTLolQajQYpKSl3XbCpoKCAn5WVJVyyZEnBuHHjqvz8/OoqKir4arW65R96Dw+PuszMTFFZWVlLTnT48GFDjUYDb2/vus6+H3Nzc7W5uXljTU0NDwAse7I3IwAAIABJREFULCyaACAvL09Xe87p06dpcakuQj24hJA+jzGGYXbGGGZnjC9HNWDz2Rv4JjkfuRV3TL25TcrNGsz6JROLfr2C593NMMRGjMD+EshlBjRflxBCSKfczwJP3cnMzOy2LXgAQF9fXyOVStVPPfVUp5NBAODz+Zg1a1bhqlWr+i1cuLDonXfeKfz+++/NQkJCHBcvXlxgaWnZmJmZqbdz506TdevW5UmlUs3rr79euHbtWks3N7c6hUKhWrNmjXlxcbGuTCZrdwVJc3NztbGxcdPGjRvNHBwcGnJycnQXL15so+1dBYCZM2eWRkZGWk2cONHh448/zi8pKeHPnTvXbuTIkeXtzb8FgM8++8zs3Llz+qGhoeVubm71KpWKbdq0yfTSpUuit99+uwAAvLy86i0tLRs+/PBDq88///za5cuX9SIjI/vdz2dEHhz14BJCSCsWhgIsGWaHq28FYN/f5firs0mHWw1VNaix7Y+bmP3LJfhsSIJx5DEEbz2HD3/LwoFLJShT3Xv1ZkIIIaSvmTdvXrFarWYrV66U2dvbNyYkJKTzeDxu3LhxLn5+fvIFCxbYCQQCjXbYc0RERMGECRNK5syZYz9s2DAPABg5cmT53XqO+Xw+YmJirqanp+srlUqvBQsW2C1btuy6duVmADAyMtLExcVdqq6u5g8fPtxj0qRJzkqlsnr79u3Zd4t78ODBNSqVijd//nxbpVLpFRwc7H78+HGjr7/+Omv27NmlAKCnp8dt3br1am5urp6/v7/X8uXLrSIiIq7f7Zrk0WKtx4b3dgMHDuSSkpIe+33i4+MRFBT02O9DOo/apGd6UtrlapkKG5LysensDZSoHmw4soeZPgL7ixFoI8ZgGwnczfTB64Hzd5+UNulrqF16nq5oE8ZYMsdxAx/rTUi3SElJyVYoFMXdHceTzsPDw9Pf378qJiYmr7tjIV0rJSXFTKFQ2LdXRkOUCSGkA45SESKfdULECHvsulCEdafzceJa5X1d42JxLS4W12LzuQIAgLFQBwH/z96dh0dVHfwD/547+2TfN0I2EtaQIMiigCC4tVDXKu5aK9pq39fl97ZUbQXb2tf2rWvViq0WqQu17rbViiyCsu9EIIQkQPaE7Jl97vn9MZPJvpHJQvL9PM88d+4998zc4YrMd842JhhzxgTjgsRgzEwIRrCB/0smIiLqTG5urv7jjz8OvuSSSxocDod46aWXonJzc02vvPJK4VBfGw0v/DZFRNRLRq0Gt0yNxS1TY7G/rAEv7yrBm4fK0eRUe67cTq3Nhc/yqvFZXjUAQADIjAnwBt4QzBkTjHHhJs7STEREBEBRFPn2229HrFq1aoyqqiItLc367rvvHp8/f75lqK+NhhcGXCKis5AdG4RXlo7HHy5Lw7bT9fjmdD22FdVhe1E96uzunl+gHQngYHkTDpY34ZU9pQCASLPO063ZG3rPTwiCWdf92r1EREQj0bhx45x79uw5NtTXQcMfAy4RUT8E6rW4JC0cl6SFAwBUKXGk0oJvTtdhW1E9thXV42jV2f24XGVx4pPcM/gk9wwAQCOA7NhAzBkTggsSPeN5k0KMbOUlIiIi8mLAJSLyI0UITI4OwOToANw9PR4AUG11YntRvS/07iiqP6tuzW4J7CltxJ7SRvxxl2cyxthAvSfselt5z4sLhFHLVl4iIiIanRhwiYgGWLhJh++kR+A76REAAJeq4nBFk6drc1E9tp2uw4maPi0h6FPW6MD7R6rw/hHPZJx6jcB5cUG+yavmjAlBQrDBb5+FiIiIaDjrVcAVQtwP4A4AmQDellLe0apsEYAXAYwFsAPAHVLKk94yA4CXAVwHwALgd1LKpwe6LhHRcKZVFGTHBiE7Ngg/Oj8BAFDe6GjTyrurpAE2V99beR1uie1F9dheVI9ntnuOJQYbfGH3gsRgZMcGQqfhMuhEREQ08vS2BbcEwK8BXAbA1HxQCBEJ4H0APwTwCYBfAVgHYLb3lJUA0gEkAYgFsFEI8a2U8rMBrktEdE6JCdTjygmRuHJCJADA4VZxoKwR21qF3lN19rN67dP1dqzLqcS6nEoAgFGr4Pz4IN+6vHPGhCAmUO+3z0JEREQ0VHoVcKWU7wOAEGIGgDGtiq4BkCOlfNdbvhJAlRBigpTyKIDb4WlZrQFQI4R4FZ6W4M8GuC4R0TlNr1FwfkIwzk8Ixn/N8vxvt7jejm1Fdd4Zm+uxt7QBDrfs82vbXCq2nKrDllN1vmOpYUZckBiCSCuQXm9nt2YiIiI6J/V3DO5kAAead6SUTUKIEwAmCyHKAcS1Lvc+v2og6wJgwCWiESkh2IDrJkXjuknRAACby429pY3esbye4FvW6Dir186vsSHfOw74+We34dK0cNyZHYvvjY/gpFVERHROuPbaa5Orq6u1GzduzGs+tnTp0pSdO3cG/fnPfy54++23w77//e/XXn311fVDeZ00sPobcAMBVLY7VgcgyFvWvN++bCDrtiGEWA5gOQDExMRg06ZNXX4Yf2lsbByU96He4z0Znnhf/GM6gOnRwP1RQLkdyKkHcuo827xGoK8jeVUJfJZXjc/yqhGkBRZFA5fHAhmBAFckGhr8uzL88J7QaPTQQw/FP/PMM3Gtj0VERLiqqqoOdFXn008/DVq6dGlG835ISIh7woQJlieeeKL40ksvbfLn9a1evfq0lC09m+rr65WCggLjmjVr8n/2s5+N0Wq18rLLLjvtj/f69NNPg/7whz/E7N+/P8BqtWri4uLs8+fPr3/kkUfKx48ff3a/NnciISEh86677qp44oknyv31mp3Zt2+f8Ze//GXcN998E9zQ0KCJiopyfuc736l58sknS6Oiotz+ep/B+Dz9DbiNAILbHQsG0OAta963tSsbyLptSClXA1gNADNmzJALFizo4SP136ZNmzAY70O9x3syPPG+DLwmhxu7SxradG2usjh7Xb/BBXxY4nlMjQnAndmxuDkzBlEBHLM7mPh3ZfjhPaHRKjk52bZ58+Zjzftabe/ixO7du3OioqJcZWVlulWrVsVde+216UePHj2ckJDg8te1RUREtAliwcHB6uHDh48AwOWXX+63Xp6///3vI1esWJF05ZVXnnnjjTfyMzIy7CdPntStXbs24pe//GXcunXrBnXiW7fbDSllr+9Fexs3bjQvWbJk/MyZMxvWrVuXl5SU5Ny9e7fpscceGzNr1qyQnTt3Ho2MjPRbyB1o/Z1GMwdAVvOOECIAQBo842NrAJS2Lvc+zxnIuv38PEREI0qAXoOLkkOxYm4SPr4xExX/7wLk3j8Ta66agHumx2FqTAB62yh7sLwJD35+AglPb8M16w7jk2NVcKl9n+mZiIjOXVqtFmPHjnU1P+Lj43sVUOPj411jx451zZw50/r444+XNjY2ajZv3hzQXL5nzx7jggULxgUEBEwLDw/PWrp0acqpU6d8ic3pdOKuu+5KDA4Ozg4ODs6+6667Em+++eaxM2fOHN98zrXXXpu8cOHCcc37//jHP4KnT58+Pjg4ODskJCR77ty56Xv37jW2vq6dO3eaLrjgggyj0XheSEhI9rXXXpt85syZLsfmnDhxQvfoo4+OvfXWWyvef//9wqVLlzaMHz/ecemllzatXbv21IsvvljUfO4XX3wRcP755483mUzToqOjp958881jq6urfflr5syZ42+55Zax999/f0JYWFhWeHh41vLly8e43W5feUlJif5Xv/rVGCHEdCHEdAB4/vnnI8xm87R169aFpKenTzYYDNP37dtnrKys1FxzzTXJwcHB2Uaj8bwLLrggY/fu3cYOH6IVVVWxfPnylOTkZNv69evzFi9e3JSenu648cYb67788svc0tJS/YMPPpjQfL7NZhM/+tGPEmJiYqaaTKZpU6ZMmfjee+/5Gh7tdru44447EqOjo6fq9frzYmNjp/74xz9O6O7z9ObPqi96u0yQ1nuuBoBGCGEE4ALwAYDfCyGuBfBPAL8EcLDVRE9vAHhMCLEbQAyAuwHc6S0byLpERNQJIQTSI8xIjzDjtqxYAEC93YWdxfXYXFiHP+86ibIeluR1qhIfHK3CB0erEBOgw21ZsbgzOxYTowK6r0hERB0IrJre81kDS+LxPb09t6ioSB8dHT1Vp9PJadOmNf3ud78rmjRpUq+75DY0NCivvvpqBADo9XoJACdPntQtXrx4/LJly6qefvrpIqfTKX7+858nLFmyZNy+ffuOajQaPP7447HvvvtuxPPPP184bdo067PPPhv98ccfh0+cONHa1Xs1NjYqP/nJT8qnT59utVgsyqpVq+Kuuuqqcbm5uTlGo1HW19crS5YsSZ86dWrTV199daSyslJz3333Jd90003Jn3/++YnOXvNvf/tbmNPpFCtXrizrrLy5pXPnzp2mK6+8MuN//ud/Sl577bXCyspK7UMPPZR40003JX/22Wf5zed/9NFH4XfddVfF5s2bj+7cudN87733pk6fPt1yzz33VH/yySd5WVlZk2+88caqBx98sKL1+zgcDuW3v/1t3IsvvlgYGxvrSkxMdF533XUp+fn5xnXr1uVFRES4V6xYkbBkyZKMvLy8Q4GBgZ3OSrlt2zZTXl6e8eWXXy7QaNrm+uTkZOeVV15Z/fHHH4erqnpKURRcf/31ySdPnjT89a9/zU9KSnJ8+OGHIcuWLRv31VdfHZkzZ471ySefjP7ss8/C1qxZkz9u3DhHYWGh7ttvvzUCQFefp7d/Vr3V23bsxwA83mr/FgCrpJQrvSHzjwD+Bs96tMtanfc4PGvZngRgBfCUlPIzAJBSVg5gXSIi6qVggxaLU8OxODUcC8VJIDkLr+8vw3vfVsLaw1q85U1O/P6b0/j9N6cxKyEId2bHYdmUaIQY+zsChoiIhpvZs2c3Tpo0yZqZmWkrLS3VPvnkk/Hz58+fePjw4cOxsbHddmFNS0vLBACbzaZIKTF58mTL0qVLGwDgmWeeiZowYYL15ZdfLm4+f926dQXR0dHZX331lXnhwoWWV199Nfr+++8vu+OOO2oB4C9/+cvpjRs3hnT3ns3nNnvnnXcKw8LCpm3evDngsssua3z11VfDrVar8u677xaEhYWpACClPLl06dKMw4cPG6ZMmdJhfb7jx48bAwMD3cnJyd2O9/ntb38bs2TJkupVq1Y1jzW1v/TSSycvvPDCScXFxdrmrtlpaWm2Z599tgQApk6dan/ttdfqN2zYEHTPPfdUx8TEuDUajQwKCnKPHTu2TUu52+3GCy+8cGrevHkWADh06JBhw4YNof/617+OXXHFFY0A8O677xYkJydnrl69OuKhhx6q6uw6m8NnZmZmpz8UTJw40bpu3brI0tJSbW1trebTTz8NP3bs2KH09HQHAEyaNKlyw4YNwS+++GLUnDlzTp08eVKfkpJiu+yyyxoVRUF6errjkksuaQKArj5Pb/+sequ3ywSthGdd2s7K1gOY0EWZHcAPvI9Bq0tERGdHEcCClDBcnBKGP16Rjr/nVOD1/WXYVtTzhJM7ihuwo7gBD3yeh2snRuLO7DgsTAmFwpmpiIhGhOuvv77NPwYLFy48npKSkvmnP/0pcuXKld1OGvTvf//7WFhYmHvHjh3mVatWjVmzZk2BwWCQALB//37zrl27As1m87T29XJzc41Tp061V1VV6WbPnu2blEpRFGRnZzeVlJR0OSlETk6OYcWKFfH79+8PqKmp0amqClVVUVBQoAeAI0eOGDMyMqzN4RYAFi9e3KgoCg4cOGDsLOC2nsSqO4cOHQo4deqUwWw2h7eve+TIEUNzaJs0aVKbYBkbG+usrKzU9fT6Go1Gzpkzx9K8f/DgQaOiKLj44ot9f0YRERHujIwMa3OInT9/fvru3bsDASA+Pt6Rl5fXp+GdO3bsMEspkZWVNbn1cYfDIWbPnt0AAD/84Q/PLFmyJCMlJWXK/Pnz67/73e/Wff/7369r3zrcWm//rHqLP7ETEVGnQoxa3D09HndPj8fRqia8vq8Mbxws73EpIptLxZuHKvDmoQokhRhwe1Ys7siORUqYaZCunIiIBkNISIianp5uPX78eI+Lp2dkZDji4uJcU6dOtdtsNuW6665L+/bbb781mUxSVVWxYMGCumeffbaofb2EhASnqqpn9Uvp0qVLx8XGxjpeeOGFk2PHjnV6u1VPdjgcPb6e6OLH2YyMDFtjY6OmsLBQ110rrqqquOGGG6p+9rOfdQj+ycnJvn9ItVptm8QshOhViNbr9bK3k0o1f5Y1a9YUNjU1Kc31AWDSpEk2ADh48KDpwgsv7NCKe+TIEVNwcLA7Li7O5Xa7IYTA1q1bjzTXbxYQEKACwNy5cy0FBQUHP/zww5D169cH/ehHP0p+7rnnrFu3bs3tKuT29s+qt/o7yRQREY0CEyID8NQlaTj94Gx8emMmrp0YCZ3S8/eNk3V2PPHVSaQ+vwMXr9mPtQfKYHGeMxMxEhFRNywWi8jPzzfGxcX1fnp+AD/+8Y/PuFwu8dRTT0UDQFZWluX48eOm9PR0x5QpU+ytH2FhYWpERIQ7MjLSuWPHDt9kD6qq4sCBA+au3qOsrExTUFBg/PnPf1521VVXNZx33nm2uro6jdvt9v3jNXHiRFtubq6ppqbGl4nWr18fqKoqpk6d2umMFDfffHONTqeTK1eujO2svKqqSgMAU6ZMsRw7dszU/vNMmTLF3tV42M7odDrZ+pq7MnXqVJuqqtiwYYPvz6i6ulrJzc01NYfYlJQUZ/M1ZGRkOABgzpw51tTUVNsLL7wQ0zy5VbPCwkLdRx99FP69732vWlEUzJo1yyKlRHFxsa79Z0pJSfH9NxAWFqbeeeedNW+++eap9957L2/79u1BOTk5hq4+j7/+rJqxBZeIiHpNqyj4bkYEvpsRgSqLA28erMDr+0txoLznpQw3FtZiY2Et7vvXcdwwORo/mBaL2WOCu/yVnIhoNOjLBE9Dbfny5WOuvPLK2rS0NEdJSYnuV7/6VZzVatUsX778TF9eR6PR4N577634wx/+EPfQQw9VPvzwwxVvvvlm5NKlS1NXrFhRFhsb68zNzTWsW7cu/KWXXjodFham3n333RUvvvhi7Pjx421ZWVnWF154IaqqqkoXHR3dabiOiopyh4aGulavXh2ZkpLiOHnypG7FihWJGo3GF5iWL19e/dRTT8Vff/31Kb/5zW9Kzpw5o7n//vuTLr300trOuicDwLhx45xPPPHE6UceeWRsfX295gc/+MGZjIwM+6lTp3Rr164Nt9vtyjvvvHPy0UcfLVuwYMGEm266aex9991XGRISoh46dMj4ySefhL711lu9XkYoISHB/s033wQWFBTojEajjIuL67S7bmZmpn3RokW19913X9JLL710Mjw83L1ixYqEgIAA9e677+7y/iiKgtWrVxcuXbo045JLLhn3yCOPlCYnJzt2795tfvTRR8fExcU5nn766WLAM0b4e9/7XvU999yTXFVVVTRr1qymqqoq7fr164PS0tLst99+e+3KlStj4uLinOeff75Fr9fLtWvXhgcGBrqbA3Bnn8dff1a+z9TXCkRERAAQadbjv2ePwf57z8fe5dPxk5kJCDf1/Ltpg8ONP+8rxQWv7cPEF3fiqa2nUNLQ6fcIIiIaRkpKSvR33nlnamZm5pRly5al6fV6uXnz5iPNrYF98ZOf/KTK7XaLJ598Mjo5Odm5efPmo4qiyKuuuir9vPPOm/LAAw8k6fV61WQySQBYtWpV2TXXXHPmvvvuS543b95EALj00ktrm8fxtqfRaLBmzZr8o0ePmqdPnz75gQceSFq5cmVx6661QUFB6qeffnq8sbFRM3/+/Ik33HDDuOnTpze+9dZbhd1d+4oVKyo/+OCD3DNnzmhvueWWtMzMzCk//OEPUwDgiSeeKAWAWbNmWT///PNjp0+fNlx22WUTzj///EmPP/54QleBvCtPPPFESUlJiX7ChAmZ8fHxWd2d+/bbbxdmZ2c3XX/99ePmz58/0WazKZ9++mluT62gixYtatqyZcsRs9msXn/99eMmTpyY+fDDD49duHBh3Y4dO45GRUX5mnb//ve/Fy5btuzML37xizFZWVlTrrnmmvStW7cGpaamOgAgKCjI/dxzz8XMmzdv4uzZsycdPnzY/P777x8PCgpSu/o8/vqzaiZ6O1B6JJgxY4bcvXv3gL8PF38ffnhPhifel+Gnv/fE7lLx8bEqvL6/DJ+fqIbay39iFAFcPi4cd2bHYmlGJAxa/v7aGv+uDD+DcU+EEHuklDMG9E1oSBw4cKAwKyur01ltqfcmTpw4aebMmQ1r1qw5PdTXQoPrwIEDkVlZWcmdlbGLMhER+Y1Bq+D7k6Px/cnRKK63Y+3BMry+vwy5Z7pcphAAoErgX8er8a/j1YgwaXFzZgzunBaL7NigQbpyIiIaznJzc/Uff/xx8CWXXNLgcDjESy+9FJWbm2t65ZVXCof62mh4YcAlIqIBkRBswIq5SfjZhWOxrager+0rxbqcSjQ6up9k6ozVhed3FuP5ncXIjg3EndmxuDkzBhHmHldNICKiEUpRFPn2229HrFq1aoyqqiItLc367rvvHp8/f76l59o0mjDgEhHRgBJC4ILEEFyQGILnLk/He0cq8fr+MmwqrO2x7v6yRvz3Z3n4f/85gSsnROLO7FhcmhYGrcIuzEREo8m4ceOce/bsOTbU10HDHwMuERENmgC9BrdlxeK2rFjk11jx1/1lWHOgDKfqup9kyqlK/OPbSvzj20rEBepxW1YM7syOw/jILleIICIiolGIP4ETEdGQSA0z4YmFKSj479n44tapuCkzGsZeTC5V2ujAU1+fxoQXd+LC1/biz3tLUG/vdNUEIiIiGmXYgktERENKEQKLU8OxODUctTYn3jlcgdf3l2FncUOPdb85XY9vTtfjv/6dh+smReHO7FhclBwKhWvrEtHwpqqqKhRFGT3LmRD5iaqqAoDaVTkDLhERDRuhRh3unZGAe2ckIKeiCX/dX4a1B8tQ3tT9UnhWl4q1B8ux9mA5UkKNuCM7FrdnxSIp1DhIV05E1HtCiDKr1RoSEBDQ/RTzRNSB1Wo1CiHKuipnF2UiIhqWJkcH4PeXpuH0g3Pw8bIpuGpCJLRKzy2zBbU2PL6pECnPbcfFa/bjr/tL0cAuzEQ0jLhcrlWFhYX6pqYmk7c1ioh6oKqqaGpqMhUWFupdLteqrs5jCy4REQ1rOo2CpeMjsXR8JCqaHHjzYDle31+GQxVN3daTADYW1mJjYS1+/M/juGZiJG7LisWilDBoehGUiYgGynnnnff53r177z9x4sTjUspYsNGJqDdUIUSZy+Vadd55533e1UkMuEREdM6IDtDjwTmJeGD2GOwpbcDr+8rw1uEK1Nq6b6G1ulS8eagCbx6qQHyQHrdkxuC2rFhMjg4YpCsnImrL+wW9yy/pRHR2+GsRERGdc4QQmBEfjBe/m4HSh+fgnWsn4bK0MPSmXbakwYHffXMaU17ehemrd+O57UWoaHIM+DUTERHRwGMLLhERndOMWg1umBKNG6ZEo6jehjcOlOOv+8twvLrnuVv2ljZib2keHv5PHq5Ij8BtU2OwdHwEjFrNIFw5ERER+RsDLhERjRhjgo14ZF4Sfj53LHYU1+ONA+V453AFanrowuyWwKe5Z/Bp7hmEGDS4YXI0bsuKxQWJwRBccoiIiOicwYBLREQjjhACs8eEYPaYEDxz2Tj88/gZvHGgDP88Xg2X2v2yk3V2N1bvLcXqvaVICzPi1qmxuDUrBqlhpkG6eiIiIjpbDLhERDSiGbQKrpkYhWsmRqGyyYF1ORV440A5dpU09Fj3RI0NKzcXYuXmQswdG4Lbpsbg+snRCDHyn08iIqLhiP9CExHRqBEVoMf9M8fg/pljcKSyCW8cKMffDpWjqN7eY92tp+qw9VQdfvLv47hqgmfJoUvTwqBVOF8jERHRcMGAS0REo9LEqAD8dnEqfn1xCjYV1uKNg2V479tKNDnVbuvZ3RLrciqxLqcS0QE63JwZg9uyYpAVE8jxukREREOMAZeIiEY1jSKwKDUMi1LD8OJ30vHBkSq8cbAcX+bXoPvRukBFkxPPbC/CM9uLkBkdgNuyYnBTZgzigwyDcu1ERETUFvtVEREReQXqtbg1KxZf3JqFUw/Oxv8uSsXESHOv6h6qaML/fJGPxGe24fK/HcBbh8phcboH+IppqFhcwPaiOjTYu5+hm4iIBhdbcImIiDoxJtiIn80di59emIi9pY1440AZ3jpcgSqLs9t6qgQ+P1GDz0/UIEivwXWTonBbVgzmJ4VCYRfmc47V6cbRKgtyKptwuKLlcbIOwNf78J9bpuKStPChvkwiIvJiwCUiIuqGEALT44MwPT4I/3dpGj7Lq8YbB8vx8bEqONzdd2JucLjx+v4yvL6/DGNDDLh1agxunRqL8b1sFabB43SryKu2toRYb6DNq7aiu5WlDlc0MeASEQ0jDLhERES9pNMoWDo+EkvHR6La6sTfvUsObSuq77HuqTo7frPlFH6z5RRmJQThtqxY3DA5GhFm3SBcOTVTpURhrQ2HK5qQ0yrIHq2y9PiDRWdyKpsG4CqJiOhsMeASERGdhXCTDvfOSMC9MxJw/IwFaw+WY+3BchTW2nqsu6O4ATuKG/DAZ3lYOj4Ct02NxRXp4dBrODWGv0gpUdroaNOt+HBFE3Iqm2DpYabsvjhcwYBLRDScMOASERH1U3qEGU8sTMHKBcnYeqoObxwow99zKtHg6H6SKacq8f6RKrx/pAoRJi1unOJZcmhGfBCXHOqDMxZnmwDb/LzGNnATQAkAaeEmjAs3Ddh7EBFR3zHgEhER+YkiBOYnhWJ+UiievyIdHx+rwhsHyvH5iepux3ECwBmrC3/cVYw8kbomAAAgAElEQVQ/7irGhEgzbpsag1umxiAxxDg4F38OaLC78G2lpcM42bJGx4C+75hgA6ZEB2BKVIBnGx2AyiN7cPmiWQP6vkRE1HcMuERERAPArNNg2ZQYLJsSg9IGO94+XIE1B8pwsLznLq1Hqyx4ZEMBHt1QgIUpoRirAnu3nUagXoMAncaz1Svt9j1bk1Y551t/bS7PzMWecbIWX5DtTffv/og065AZ3RJip0QHYFKUGaHGjuOkN+UO6KUQEdFZYsAlIiIaYHFBBjw0JxEPzUnEgTLPkkNvHipHeVP3Sw5JABsKaj07J0/06r0E4Au7ATqlTfj1hWHvtrug3D5Im3Uavy9z5FLbzVzsfRzvYebi/grSa9qE2OZHdIB+4N6UiIgGBQMuERHRIMqKDcQfYsfhqUtS8cWJGrxxsBwfHq2CzeWfiY8kgEaHG409jP89G2ZdV2G48+Ptg7LDLfFtqzGyR85y5uLeMmoVTIoyt+lePDk6AInBhnO+lZuIiDrHgEtERDQEtIqCK9IjcEV6BOpsLvzj20q8cbAMX52sG+pL65LFqXpnIO6+5XmwaRWBjAhTh3GyqWEmaBQGWSKi0cQvAVcIkQzgJQBzANgB/APAA1JKlxAiG8BfAEwEcATAXVLK/d56AsD/Avih96X+DGCFlFJ6y8+6LhER0bkixKjFXefF4a7z4lBQY8XfDpbjjYPlyKu2DvWlDSsCQGqYsUPX4owIM5dYIiIiAP5rwX0JQAWAOAChAL4A8GMhxJ8AfATgWe859wD4SAiRLqV0AFgO4CoAWfD0qvoCQAGAPwkh9Gdb10+fiYiIaNClhJnwi4uS8dj8JGwvqsfXp+tw4Fg+IuIS0ORQ0eh0o8nbBbnJ6d169xsdbtgHsMvvYEoI0ncIshMjAxCg1wz1pRER0TDmr4CbAuCPUkobgDIhxGcAJgNY4H2PZ70tq88LIf4fgIsBfAbgdgB/kFIWAYAQ4g8A7oYnpPanLtGI5JIqBACNYEsF0UgnhMCcxBDMSQzBJkc+FixI71U9l6qiyaF2CL/N+55jaseA7GwblJucapv6Vj+NEW4vwqRFZkwgpkQFYHK0Z7zs5KgAhJk6zlxMRETUE38F3GcBLBNCbAIQBuAKAL+AJ+QebNdt+KD3eHMIPtCq7ID3GPpZl2jYklKi3u1EtdOOGpcDNS47ql0O1DjtqHZ5jrWUOTzHnJ5zGtxOKBCI1hsRrzcjTm9CvMG7bbcfozdByyBMNOpoFQUhRgUhRv9Os+FWJSzOXgTlNvueFufmMpcqkRZmajdzsY4TPhERkd/461+/r+DpMlwPQANgDYAPATwGoP1sGXUAgrzPA9uV1wEI9I6vbV/W67qtQ7EQYrn32hATE4NNmzadxcfrm8bGxkF5H+o9f98TCQk7JBqgtnu4ezzWCBVqP77LqZAoc1hR5uh+bJ6QQCgUREKLcGgQCU2rrRYR3udh0ECLoflyyb8rww/vyfA0nO+LwfsIb1+g9z46qAVsAE4BR055Jtg4Fw3ne0JENJr1O+AKIRR4WlRXA7gAnuD5GoCnAJQCCG5XJRhAg/d5Y7vyYACNUkophGhf1uu6rStIKVd7rw0zZsyQCxYs6OMn7LtNmzZhMN6Heq+re+JUVdS0azVtbkXtqUXVLgemu56/SAHUQEUNHN2eJwBE6YytWn/NiNebPFuDd6s3I1Zvgk7xb4sw/64MP7wnwxPvy/DDe0JENDz5owU3HMBYeMbg2gHYhRCvA/g1gIcAPNyuVXUqgBe9z3PgmSRqp3c/y3usuexs6xLBLVXsbajGhtpSfIUqvJCz0RtUvV2CXXY0ul1DfZlDTgKocNpQ4bThQFNNt+f6grDejDhDx27RzUFYr3ASGCIiIiIafP0OuFLKKiFEAYAfCSH+D54W3NvhGS+7CYAbwH95Z1S+21ttg3f7BoCHhBD/gud79sMAXvCW9acujUJSShyz1uHLmlJ8WVuKjbVlqHV5Wy8FgKrGIb2+kaDSaUOl04aDPQThSJ2hTUtwh7HC3pZhIiIiIiJ/8tcY3GvgmWjqZ/CE0g0AHpRSOoQQV8GzRu3/wjPU5irvMj8A8AqAVACHvPt/9h5Df+rS6FFit+DL2lKsrynBlzWlKHZYhvqSesWsaBGu0yNMa0C41rMN0+kRrjUgTKtHuM671RralIVodXBKFWUOK0rsVpQ6LChxWFFqt6DEYUGpw+rZ2q0447IP2eerctpR5bTjUA9BOBwaTN7/b6SbgpFuCvJugzHOFAyzxr8T5BARERHRyOeXb5BSyv3wLOvTWdk+ANO7KJMAfup9+LUujUx1Lgc21ZZ5Am1tKY5Y2s9DNnh0QukkjLbsh2kNnZaFavUw9KMLr0YoSDYGIdkY1O15dtWNMoc3BLcOww4LSuwtYbjKOXRBuFq4saWuHFvqyjuUJejNnsBrDm4TgNNMQTAqDL9ENHiklDjjsqPI3oTTNgtO25vwNWrwlyNfYXnceMwLjRnqSyQiIi9+S6Rhzaa6sK2uEutrS/FlTQl2NZyBCtlzxV4SAEKbA2i7FtU24VSnb9OiGq7Tw6xoh/XSFgZFgyRjIJKMgd2e5/AF4ZbWX19rsN3iC8aVTtsgXblHscOCYocFm+rK2hwXABINAb7WXt/DHIRUYxDH/xJRn0gpUeNyeMKr91Fkt7R5XmRvglV1t60oAFTU4fygSAZcIqJhhAGXhhW3VLG/sRrrveNot9SVw9b+S0UfBGq0uCgkFolnmrBw0tQOXYFDtHoowzikDga9osFYYyDG9iIIlzts3sDbOgC3DcSVTpsff4LoSAI4ZW/CKXsTvqwtbVOmQCDJ2En4NQUj2Rjo91mgiWh4k1Kizu3wBFZbZ+G1CaftFljUs59wsMh+bgyNISIaLRhwaUhJKZFnbcD6Ws8Y2g21pahxdb+sTXd0QsHs4CgsDo3DorA4zAyKgk5RPMs5RKf48cpHH72iQaIxAInGgG7Pc6oqyp1WlPq6RXcehssdVr8HYRUSBbZGFNga8Z+akjZlWiGQbAzsNPwmGQOgEQy/ROeaepej08Da8rxpwGfLP21vGtDXJyKivmHApUFX5rD4ZjpeX1Pa7y8HWQFhWBwWj0WhcZgXGoNAjc5PV0pnQ6coGGMIwBhD90HYobrxzlcbEJ45Acet9Z6HxbM9ZW/ye/h1eX9MybM24N8obnvNQkFq6/DrHfebYQrGGEPAqG/lJxoKjW5nmzGvnXUhrnc7h/oyUcSAS0Q0rDDg0oCrdzmwubYcX9aWYH1NKXIstf16vRRjoC/QXhwahyi90U9XSoNJr2gwFjosiEjsUGZTXci3NrYE31aPgegO6JQqjlnrccxa36HMqGiQZgxqF349+/F687Aeh000XFncrm7HvJ62N7Us8zZMmBUtEg1mJHp/wHOXVWLe+MnIMAUP9aUREVErDLjkd3bVje31lfiyphTra0uws74K7n60x0XpjLg4NNYXalNM3c8eTOc+o6LFpIBQTAoI7VBmcbtwwtrQJvTmerdlDqvfr8WmupFjqe30hxmzosU4UxDSTEEI0ehh0mhgUrQwKRoYFQ1Mindf027fV6711mnZNyoathjTiFDttOOYpQ7HrHU4ZqnHMWsd8q0NOG23oHoIlzHrjFHRINEQ4A2v5k6fh2r1bX7Q2lS2CQviMobwqomIqDMMuNRvqpQ40FjtW492S11FvybsCFC0mB8ag8Wh8VgUFofMgDB+4Scfs0aLzMAwZAaGdShrcDmR16HV1xOGB2IWaIvqwsGmGhzsYb3fvtILxROGNe3CsNIqDGva7TeXa7StwnRLaPaUtdtvFb61HINMZ8GhunHC2tAmxB6z1OOYpW5I1+JuzSA8wybaBFZjAMboA5Bo9OyHaw3sjUFENEIw4FKfSSmRb2vwttCWYkNNab++yGiFwKygKCwOi8Oi0HjMCo7kUi90VoK0OkwLisC0oIgOZXUuR4exvs0BeLi1JjmkCodbRd0gji/UCgGTooUeKpL2fIJ4vQnxBjPi9WbEG8yI05u8z02I0hk5KdcoIqVEudPqC67HrPW+ltkCa2O/euj0l04ovtDqCbGtn3sekTqGVyKi0YQBl3qlwmHFBu+kUF/WlqLQ1tiv18sMCPPNdDw/JBZBWk4MRQMrRKvHjKBIzAiK7FBW7bR3Ot73uKV+UEPmUHJJiQa3ExDAmcYz2NvNuRoIxOpNiDN4Q683BMd7Q3Dz8Uidkb0vziFWtwvHvWPRj1nq2oTZoZjMSSsEEvTtAquxbbfhKP43RkRE7TDgjmJSSrikhF26YVfdsKsq7KobNtUNu3Sj2N4y23F/u2AmGQI8Y2jDPBNDxehNfvoURP0XrjNgli4Ks4Kj2hyXUqKqq/BrrR/w5UeGKzckih0WFDssAM50eZ5WCMTpPcE3rnUIbm4Z9obhCHYPHTSqlCiyN7XqTlyHXG+IHYjZy7uigUC8r7W18zGv0Xr2FCAior5jwB1kUko4pOoJkc2hUrrb7nsDpq3Nfus6nuPNQbTjvuo7z9Z+3/tazXXUAfo6E6E14OKwOCwKjcPisDikGoP4BZbOOUIIROmNiNIbcUFIdJuy5m6bxy0NOG1vglV1wer9O2ZV3bC6XS3POylrs6+2nGtT3UP0af3PJaVvZtzu6IXi6QLtDb5x7UJwvLdFuP0kP9S1BpfTF2Bbh9nj1oZ+zZHQFzqhYJwpCONNIRhvDsZ4cwgyTMFIMgYiVm/iuG8iIhoQDLh+8tMTu7GroQp26UYV6qDb9aEvqPrCp+qGQ6pDfakDwqxoMS8k2jfTcVZgOLuN0YgmhECs3oxYvdmvr6tK6fsxqkM4drcNw52VdRqcuyizulv2B+rHrt5wSBUn7U042UMQNgilzbjgDi3D3ufBGt2oCMJuqaLQ1tgmwDY/Lx2AGcW7Eqs3YbzJE2Bbh9lkYyBDLBERDToGXD/Z31SNTXVlnh0BwDK81u/zNw0EZgZH+mY6nh0cBQMnhiLqN0UIzwzJGi06zhM9MKSUcHp7ifxr62YkTctCicOCEocVJXYLSls9L3FYUDNE65PapYoCWyMKepgDwKRofC2+WiGgFQo03m3b/ZZjGvRQ3qqsd+e3K+/r+a3K3VIiBzYUlh1vM1NxnrV+0H40NSkaZLQKsRnmYN82RKsflGsgIiLqDQZcPzGOgnA32Rzqm+n4otAYBPNLDdGIIISAXmigVzSIhQ5z2nXHbs/qdqHUYUWJw+LZeoOvZ2v1BGK7Zcgm6LKqbpywNQzJew8YAeBY2YC/zVhDgDfEtm2RHWMIYK8cIiI6JzDg+onhHO2GpUDAqGhgUBQYvOtpGoTnuUnRYFJAKBaFeiaGijP4tysmEZ2bTBotUk1BSDUFdXtek9vZJgC3PG8Vih2WUTtZ11AJ0ug83YhNIW3CbLopGGYNvxYQEdG5jf+S+UlfuufqhOIJlELTEiq9AdMgFO++pkPg7Ljf6lzRw773/drsKxqOjyKiAROg0WGcSYdxpuBuz2twOb3doC0osVt9rcHNrcQlDguK7RZYR9AEXANNgUCqKbBNiG3uVhyrN42KMcpERDQ6MeD6yc8SM3Fn7DgYFA1y9u3HBTNmtm0VbRVo2c2LiKhFkFaHIG0IMswhXZ4jpUS929k2+Ppaga1tjo+kmah7EqE1eAKsr0XWs00zBUE/CobOEBERtceA6yeZgWGAd0oYFwzefSIi8gchBEK0eoRo9ZgYENrleVJK1LocKHF4WnxdUoVLSrikCrd37e/mY+5Wz11ShRuy3bm9qIuuyrupi55eW22zr0Ii2CkxLTLON0Nxc5iN0BkH8S4QERENfwy4REQ0YgghEKYzIExnGOpL8atNmzZhwZQFQ30ZREREwx4HYBIREREREdGIwIBLREREREREIwIDLhEREREREY0IDLhEREREREQ0IjDgEhERERER0YjAWZT9REqJX75ei4unGaGqQ301REREREREow8Drp/sz3Pg12vr8Ou1dQg2JeLqnZW4em4ALj3fCJOBDeVEREREREQDjQHXTz7YYvE9r7dqsObzJqz5vAlmo8Bl55tw9VwzlswxISxIM4RXSURERERENHIx4PrJB1stnR632CQ+2GLBB1ss0GqABdlGXHWhGVfNNSMhin/8RERERERE/sKE5Qd5xU4cLnD2eJ7LDazfY8P6PTbc/3w1Zk7Q4+p5nrA7Yax+EK6UiIiIiIho5OLgUD+ICdNg7SORuGaeGWaj6HW9nUcd+PmrtZh4ewkm3l6MR16twc4jdkgpB/BqiYiIiIiIRia24PpBkFnBLZcE4pZLAmGxqXj6r7twoi4NH39jQXV976ZUPnrKid++VYffvlWHhEgNrpprxtVzzZifZYRO2/vQTERERERENFox4PqZ2ahg7gQrHlsQCZdbYstBGz7YYsGHX1twusLdq9cornLjxQ8b8OKHDQgLUrBktglXzzPj0hkmBJjY6E5ERERERNQZBtwBpNUILJxmwsJpJjz3k3DszXXgg60WfLjVgpzCnsfsAkBNg4q1XzRh7RdNMBkELp1hxNVzA7BkjgkRIZyRmYiIiIiIqBkD7iARQmD6eAOmjzfg13eF4XiR09eyuy3H3qvXsNolPvraio++tkKjAPOzjLh6rmeSqsRo3koiIiIiIhrdmIqGSPoYHX56Ywh+emMISs+48NHXnqWENuyzwdWLnsxuFdi4z4aN+2z4rxeqMT3DMyPz1XPNmJikgxAct0tERERERKOL3wZ0CiGWCSGOCCGahBAnhBDzvMcXCSGOCiEsQoiNQoikVnUMQojXhBD1QogyIcRD7V7zrOueS+IitLj3e8H4/PexqPwwEW8+GonrLjIjoA8zMu/JdeCxv9Ri8p0lmHB7MVasrsb2b21QVc7ITEREREREo4NfAq4Q4hIATwG4E0AQgPkA8oUQkQDeB/ALAOEAdgNY16rqSgDpAJIALATwUyHE5d7XPOu657LQQA1uWhyId1dGo+qjRHzyZDR+cEUgIkN6f6tyT7vw1Nv1mHNfGRJvKMKPnzmD/+yywuFk2CUiIiIiopHLX12UVwF4Qkq53btfDABCiOUAcqSU73r3VwKoEkJMkFIeBXA7gDuklDUAaoQQrwK4A8BnAK7pR90RwahXsGSOGUvmmOFyS3xz2I4PtlrwwZYmnCzv3YzMJVVuvPxxA17+uAEhAQJL5ni6MV8204RAzshMREREREQjiJCyf616QggNACuAXwL4IQAjgA8B/A+A/wWgl1L+qNX5hwE8DmADgGoAsVLKcm/ZdQAel1JmCiGeO9u67a5vOYDlABATEzP9nXfe6dfn7Y3GxkYEBgYO2OtLCZwo12PLETO2HjUjv0Lf59fQa1XMSLVh7gQLLhhvQYi5d+v1nqsG+p7Q2eF9GX54T4Yn3pfhZzDuycKFC/dIKWcM6JsQEY0w/mjBjQGgA3AdgHkAnAA+AvAYgEAAle3Or4OnG3Ngq/32ZehnXR8p5WoAqwFgxowZcsGCBb37VP2wadMmDPT7LITn1wQAOFHsxIfeSaq+ybGjN79ZOFwKvsk145tcMxQFmJdpwNVzA3DVXDOSYkfe3GODcU+o73hfhh/ek+GJ92X44T0hIhqe/NFH1erdviClLJVSVgF4GsB3ADQCCG53fjCABm8Z2pU3l6GfdUeVtAQdHr4+BFtfiEPJP8bglYcicMUsE3S9zKmqCmw+YMcDL1Yj+cYinLe8BL96oxaHCxxwuSX628pPREREREQ0GPrdVCelrBFCFAFonYKan+fAM1YWACCECACQBs/Y2hohRCmALABfeE/J8tbpb91RKzZci+VLg7B8aRDqm1T8a4enZfdfO6xotPYuqO477sC+4w788vVaAIAQgF4L6HUCeq3wbj37hk6OdbVv0KFVmYC+i32DrudzmvcN+pZ9jQIuj0RERERENIr5qy/q6wB+IoT4DJ4uyg8C+BTABwB+L4S4FsA/4Rmne9A7SRQAvAHgMSHEbni6Ot8Nz0zM6GddAhAcoGDZxYFYdnEg7A6JL/da8cFWCz762oLK2t6PuZUSsDsBu1Oi7e8Yw0t3QVy64jDxi3KkxGqREqdFSqzOs43TIsjMybaIiIiIiEYCfwXcXwGIBJALwAbg7wB+I6W0eQPqHwH8DcAOAMta1XscwMsATsLT1fkpKeVnACClrDzbutSRQS/wndlmfGe2GX96UGLbt3Z8sMWCD7ZaUFDqGurL84vug7gBeWXWzqohIlhBary20/CbFKOFXsdWYSIiIiKic4FfAq6U0gngx95H+7L1ACZ0Uc8O4AfeR2flZ12XuqbRCMzNNGJuphH/96MwHMp3+pYfOnDCOdSXN+jO1Ks4U+/ArqOODmVCAAmRGm/w7RiA4yM00GgYgImIiIiIhoORN10u9YkQAlPT9Jiapsfjt4eioNSJD7da8OFWC/blOWCxSbhH9gpC3ZISKKp0o6jSjS0H7R3KdVogKUbrC8Cp8bqWIBynRUSwwnHBRERERESDhAGX2kiJ0+HB74fgwe+H+I653RJOt4TDCThcEg6nhMMlYXe03W9f3rxvd/blHLQqa7vf0zlDEcSdLiCv2IW84s67eQeaRJetvylxWgSaOP6XiIiIiMhfGHCpRxqNgEYjYNQP9ZV0rzmIdxa812/ejbC4TBSUuVBQ6n2UuXCq3DWgwbjRKnEo34lD+Z13/Y4MUToNwKnxWoyN5vhfIiIiIqK+YMClEaO7IF6aaMeCBYEdjrvcEkWVLaE3v1X4LSh1oazaPaDXXFWnoqqu6/G/Y6I0rbo8t3R/TovXIi5Cw+7PREREREStMODSqKbVCCTH6pAcq8PCaR3LrXYVhe1afVtvaxsHrvlXSuB0hRunK9z4qpPxvyaDQFq81vvQtWwTPLM/67QMv0REREQ0ujDgEnXDZFAwMUmPiUmd98+ubXR3DL+tntscA7dusNUucbjAicMFTnhWymqhUYCxMVpfAB6X0BKAU+M59peIiIiIRiYGXKJ+CA3UYFq6BtPSDR3KpJQoq+4kAHu3pysGbvyvW4Xvfdfv6VgeE6a0tPp6w++4BE8AjgzhzM9EREREdG5iwCUaIEIIxEVoERehxQVTOpa73BKnK7ru/jyQ43/La1SU19jxTU7Hrs9BZtGqy3Or7s8JWiRGabnuLxERERENWwy4RENEqxGeiaPidJ2WW2wqTpa3mwCrzIX8EidOlLjQaB2Y7s8NFon9eQ7sz+s48ZVOC+8kVx0DcEqcFiYDuz4TERER0dBhwCUapszGrsf/SilRUaPihDfstmw9zytqBqbvs9MF5J52Ifd05+v+JkRqfKG3uctzWoInCIcFaQbkmoiIiIiImjHgEp2DhBCICdcgJlzTaffnBouK/FbBN6+4JQCfqnBBHaCxv8VVbhRXdT7rc1iQ0qHV11Gjx1y3hJbdnomIiIjIDxhwiUagILOCrHF6ZI3r2PrrcEqcLPeG32JXhxbggZr5uaZBxe5jDuw+1rrrczx++tYpzJ9qxMJpRizMNiIrTc9xvkRERER0VhhwiUYZvU4gfYwO6WM6jv1VVYnSM+5Ouz2fKHGhut7/Tb8NFol/brfin9s9Sx2FBiq4KMuAhdkmLJxmxJQUHRSFgZeIiIiIesaAS0Q+iiKQEKVFQpQW87OMHcprG92+Vt+Wbs+ebVGlf2Z9rm1U8dHXVnz0tSfwRgQrWJDtad1dOM2IiUk6LmNERERERJ1iwCWiXgsN1GD6eA2mj++47q/NoaKg1NviW+xqMwFWfqkLzs7nperRmXoV731lwXtfWQB41vD1BF5PC2/6GC0DLxEREREBYMAlIj8x6rue9dntliiqdLcJvYcLnNi0rwlN9r4tLVReo2LdRgvWbfQE3vhIjad119vCmxLHwEtEREQ0WjHgEtGA02gEkmK1SIrV4uLzWo5/uWETguPnYOM+Gzbut2HLQRuabH2b5Kqkyo031zfhzfVNAICxMc2B19PCOzaG/5sjIiIiGi34zY+IhoxGAc6fYMD5Ewz46Y0hcLokdh+z+wLv14ftsNr7FnhPlbux5vMmrPncE3hT47VYkNUyS3NCFP+3R0RERDRS8ZseEQ0bOq3AnMlGzJlsxCO3AHaHxM6jLYF3W44NdmffXjO/xIX8kka89u9GAED6GK2vO/PCbBNiwjUD8EmIiIiIaCgw4BLRsGXQC8ybasS8qUb88nbPRFbbv20JvNu/tfd58qrjRS4cL2rE6k89gXdiks4XeBdkGxEZwsBLREREdK5iwCWic4ZRr2BBtgkLsk1YBcBiU/FNTkvg3XXUDlcfVys6ctKJIyedeOmjBgBAZmpL4L0oy4iwIAZeIiIionMFAy4RnbPMRgWLp5uweLoJANBoVbH1kM0XePfkOqCqfXvNQ/lOHMp34vn3GyAEkD1O7wu88zKNCAns26zPRERERDR4GHCJaMQINCm4fKYZl880AwDqGlVsaRV49+c5IPswZ5WUwL7jDuw77sDT79ZDUYDpGS2Bd26mEYEmBl4iIiKi4YIBl4hGrJBABUvmmLFkjifwVte78dXBlsB7KL9vM1apKrDrqAO7jjrwu3fqodV4ZoFekGXEmCgNTAYBs0HxbI0CJr1o9VzxbA2e4xoN1+olIiIi8jcGXCIaNcKDNbhqbgCumhsAAKisdWPzgZbAe+Rk3wKvyw1sy7FjW469z9ei16ElDBu8wdf3XPEd822NCkz67oNzS522IZthmoiIiEYLBlwiGrWiQjW47qIAXHeRJ/CWVbuwaX9L4D1e1McpmvvA4QQcThW1jQP2Fj46LVqCszf0tmwVX6uy2SjQUB2GE00NyEzVY3KyDgHsgk1ERETnEAZcIiKv2HAtll0ciGUXBwIAiitd2OgNvJsO2JBfMnCBdyA5XUCdS6KuqTdTTIdg3bYzAAAhgJQ4LTJTdMhM1WNKsh6ZqTpkJOqgZaswERERDUMMuMXS/aQAACAASURBVEREXUiI0uKWSwJxyyWewHuyzNvCu9+KjfttOFXexzWJzjFSAvklLuSXuPDR11bfcb0OmDhWhykpemSm6pGZ4nmeGK2BEAy+RERENHQYcImIeikpVovbLw/E7ZcHQkqJglIXNu6z4cgpJ5psEla7CqtdwmKX7bbe4zYJq8OzPZc5nMCBE04cOOEE0OQ7HhIgMCVFjykpOmQ2h99UHdcSJiIiokHDgEtEdBaEEEiN1yE1XtfnulJK2J2yQ+htE4btrcs7OyZhsant6npDdrtjfVkaqT/qmiS+PmzH14fbTroVH6np0M15YpIOJgPH9xIREZF/MeASEQ0yIQSMegGjHggLGtj3klLC4UT3wdkbmJusElt3n0C9Ow6HC51+G3NcUuVGSZUbn++y+Y4pCjAuQdvS0uvt5pwWr+Wsz0RERHTWGHCJiEYwIQQMesCg1/QqTI8PrsWCBdkAgEaripwCJw4VOHC4wIFD+Z7nlbVqv69LVYHc0y7knnbhva8svuMmg8CkJJ2nm3Oq3huAdYgN5/heIiIi6hkDLhERdSrQpGDWJANmTTK0OV5R48ahfIc3+DpxKN+Bw4VOv4wtttol9uQ6sCfXgdbje8ODlQ7dnKek6BEcwG7ORERE1IIBl4iI+iQ6TINF001YNN3kO6aqnkm3DntbfA/le8LvsdNOuPvf4IvqehWbD9ix+UDb8b1jYzQdujlPGKuDXsfWXiIiotHIrwFXCJEO4BCAf0gpb/EeuwnAbwFEAvgCwA+klNXesnAAfwFwKYAqAD+XUr7V6vXOui4REQ0eRRFIS9AhLUGHK+eafcftDomjpzp2cz5d4Z8llk6Vu3Gq3Ip/bm9ZxkirAcYn6jA+UYeESA0SorSIj9AgIVKD+EgN4iO0bPklIiIaofzdgvsigF3NO0KIyQBeAfBdAHsBrAbwEoBlrc53AIgBkA3gn0KIA1LKnP7U9fNnIiKis2TQC2SN0yNrnL7N8bpG1RN4W3VzPlTgRE1D/5t7XW4gp9CJnEJnl+cEmgTiIzVIiPSEX08A1nqPeYJwXLgWBj1bgomIiM4lfgu4QohlAGoBfANgnPfwzQA+kVJ+5T3nFwCOCCGCAKgArgUwRUrZCGCrEOJjALcCWNHPukRENIyFBCq4MNOICzONvmNSSpRUuTt0c/72pBM2h3/XOmq0St8kV92JDFE84bd1K3BE2yAcHaqBojAIExERDQd+CbhCiGAATwC4GMAPWxVNhifwAgCklCeEEA4AGfCEVJeUMrfV+QcAXOSHukREdI4RQiAhSouEKC0um9kyvtftlsgrdvlafJu7OecVuwZ8jd+qOhVVdSoO5nfdGqzVALHhzYG3bRBOiPK0DsdHahASoHAmaCIiogHmrxbcXwH4i5SyqN0/3oEA6tqdWwcgCIAbQH0XZf2t6yOEWA5gOQDExMRg06ZNPX+afmpsbByU96He4z0Znnhfhp/hfE8iACxI9jwAwOYUOFmpQ0GFHgUVOuRX6FFQrsOZxsGdP9HlBooq3SiqdMMzcqZzRp2KiCA3IoPciAhyIbLV86hgt69Mr+2Y2ofzfRmteE+IiIanfn8LEEJkA1gMYFonxY0AgtsdCwbQAE8rbFdl/a3rI6VcDc/4XcyYMUMuWLCg6w/jJ5s2bfr/7d15lKV3Xefx97f2rauX6qQ7hOxkYckC9CACkQ64xkER5iDizGEZFomOR8VRdBBxGw+jh6MziscAMoAwGRE4oiwuc2wcIIMiSQwhC9nbJL13V3Xty/3NH89zu26tXV1V9z5P3ft+nfOce++zVP1uf3NT9/P8fs/voRG/R2tnTcrJupRPM9Tk+PAc9zw6w78eneWJY3M8eXyOJ47OZo/H5njy+CzTK3fI1s3kTBtPnGjjiROdq+63a7BtSS/wicOP8Pzrr2Swv43t+TLYH2ee93aHvcN1MDWdGBmvMDJWYWS8wvBYhZGxbN3X772fvRdewUuu7eElNUPtJUnF2ozT3PuBS4HH8z+uA0B7RDwL+CJwfXXHiLgc6AYeIAupHRFxZUrp2/ku1wPVSaLu2cCxkqQWNbS9ne+6vn3F7SklToxUzoTdJ47mIfhYFoKfPJYF4cMn5+o+BHo5J0YqnBip8M1HalP4Lvib4yse09HOmfA72JcH34E2BvuWD8TLBeXBvjba27d+SE4pMTWTzgTRkbGFwbQaVkfGE8Oj1efV9Wl+//HKWU6EDAGn+NXXbzfgSlKJbEbAvRW4reb1z5MF3rcD5wO3R8SNZDMh/zrw6ZTSaYCI+DTw6xHxZrKZkH8YeFH+cz6+gWMlSVpWRDC0vZ2h7e1cd0XXivvNziUOnagG3lmePLYwCFeD8anRTbjR7wbNzs0H443o7wm2DywKyisE4pXW93Strzc5pcTk9DLBdHxpOB0eS/NBtRpMxytnAuvM6nOHbaqRsQLOgkiSVrThgJtSGgfGq68jYhSYTCkdBY5GxE+QhdUh4O+AN9YcfgvwJ8AR4Djw9uptfvJbBa3rWEmSNqqjPXj6eR08/bwOsgFEyxufrNT0/NaG35ph0cfmNn0m6HoYm0yMTWbtXa/ODrKe42WCck9XMDqRlvSaZj2sFWY35/bIDTUyXvwJDknSvE2fiSOl9J5Frz8BfGKFfU8Ar1zlZ637WEmSGqGvp41nXNjGMy5c+dralBInT68chKvXCh86MUdli+elmVk4PlLh+AZ7k7eKkbHWeJ+StFU0dqpJSZJaUESwa7CdXYPtPOeylfebm0scPjm3IPw+dXyOe+4/yLadFzA8Nt/bOXzm2tIKUwVMmtUK2ts4cy3zYF/UXOfcxujwIa55xoU898qVh7lLkhrPgCtJUkm0t0d2L93dHey7en79gQN3sX//dSseNzWdzlyvOjxaqXles35s/hrV5YLy6fHyD6Feq452zlwjXB0iPZgH0+q62rA62B812+avKV7teuIDB+5h//5rG/zOJElnY8CVJGmL6+4Kzu9q5/ydK88efTaVSuL0+MaD8kYmeOrsYEEY3d4f88G0JoguDKzz4bQaTLs7vW2SJLUqA64kSaKtLdg+kM2ivF7VW/QsCMQ1QXliKrGtb+Ve0+4uQ6kkaWMMuJIkaVNEZMN6e3bBnl3r702WJGm91n+aVpIkSZKkEjHgSpIkSZKaggFXkiRJktQUDLiSJEmSpKZgwJUkSZIkNQUDriRJkiSpKRhwJUmSJElNwYArSZIkSWoKBlxJkiRJUlMw4EqSJEmSmoIBV5IkSZLUFAy4kiRJkqSmYMCVJEmSJDUFA64kSZIkqSkYcCVJkiRJTcGAK0mSJElqCgZcSZIkSVJTMOBKkiRJkpqCAVeSJEmS1BQ6im6A1MqmmWOEqTUtw/njDHNFN3tTBMHs1SN8mTauYCeXs5Mr2MUQvQRRdPMkSZK0BRlwN8lv8CU+xB2cRz9t105wFSfZTS/n0c9u+thNH+flj7vpYxe9tNuBviUlEpPMLhs+z3WZapKwum4XwBc5tGDVNrq4gl154N254PFittNJe0GNlSRJUtkZcDfJvzLCYwzzGMMwBP/IyVX3D2AXvTXht5/d+evaUFwbjAfosmdrAyokxpg+hwC68r6zVIp+O03rNNPcySHuXBR8AdoJLmZ7HoB3LAnC2+kpoMWSJEkqCwPuJjnGxDntn4DjTHCcCe7n+JqO6aZ9UfCdD8WLg/F59DFEH11brLer2js6xgxjTJ/j48rbhl8yzjhfIhX9BrUhcyQe4RSPcGrZ7UP0nhnqvDgAX8ggbZ4gkiRJamoG3E1ylLG6/44p5niC0zzB6TUfM0j3gqHRi4dKL+4t3kHPWUNAhcTEWQLluYTQUabPPB9nhko9Yqj/pbeE6kmjf+LJJdu6aOcydiwa+ryLK9jJZeykj84CWixJkqTN5Nf+TXKM8aKbsKzqkNqHzjJkuqqdYKjmOuFp5pYE0nFm6tzq1tFOMEj3mpbt+WN3k3xsZ5jj77/9DdquHOJhTvIQJ3mYk0wyW5ffN80c93N8xRETFzCwYu/v+fR7eYAkSdIW0BzflEvgq/xHjjLGMcb5+7u/xgXXXsFRxjmWLwufjzHMVNFNXtYciSOMcaQBPdJbWSdtbKdnhTDalQfSlbbPL710tHRw2vnEYfZfuf/M6wqJQ4zyECcWhN7qYz3/u3yKUZ5ilK9wcMm2fjq5fNGEV9UAfCk7ttylAJIkSc3KgLtJdtDDDnq4kiGmjj/Efp676v4zzHGciTOBd7kgXPv6KGPOuLsJeulYUy/p2ZZm6UUtmzaCp7GNp7GNG7lkyfbTTPEIp5YNwI9yqm6Tf40xw90c4W6OLNvmpzPIJWznIrZzMYP543YuYpCL2c4Oelr6RIYkSVKj+C29IJ20s5cB9jKwpv0TiTFmFvQCLxeEa58fZ3xLTqrUSRv9dNFP5yqPq21b+njHl/+Rm1/yMm8xs8Vto5vr2MN17FmybY4KBxnJA+/SAHyKybq0qULicYZ5nOEV9+mnMw+886F3/jF73us1wJIkSRtmwN0igmCALgbo4lJ2rOmYOSqcYnLJ8Oj5YDyxpPd4lOk1/eweOtYYLs8tiPbTWZcQ+vBsfX6uyqOdNi5lB5eyg5dx2ZLtJ5moCbwLA/BBRuozuVlujBnu5Rj3cmzFfXbTt2z4rb6+gG10eO9sSZKkVRlwm1g7bQzltwtaq0lmOZ6H3VNM0k37kgDaRyftftHWFrOTXvbRyz6etmTbNHM8yqkVe38bMbFa9UTTHcvc/xeyCcmexrYlw59rw/AQvQ6FliRJLW3DATciuoH3A98N7AIeAn4ppfSFfPvLgT8ELga+BrwhpfRYzbF/BPw7YBz4byml99X87HUfq/XpoYMLGeRCBotuitQwXbRzFUNcxdCSbSmfeG1h7+/8dcBPMdqQNs6ROMgIBxnhq8tMhAXZNeYrDYOuvu6nqyHtlSRJKsJm9OB2AAeBlwKPAzcDfxYR1wKjwKeBNwN/CfwG8L+BF+bHvge4ErgE2Av8fUR8K6X0xYjYvd5jN+E9SRKQXR6whwH2MMCLuGjJ9nFmeJRTHGSYg4zw+ILH7Hm9bn202ASzPMBxHljhVkgAO+mpCb0LJ8S6iO1Mts0xzgxzVKiQqJCYyx+z51tnfT9d7GWAPfTnjwPsoves9/qWJElb14YDbkppjCxsVv1VRDwCPB8YAu5JKX0SICLeAxyLiGtSSvcBryfrlT0JnIyIDwBvAL4IvGoDx0pSQ/TRybM4j2dx3rLbE4ljjC8IvY8vCsNPcrqu1wDXOskkJ5nkLg4vv8N3AXy5IW0pQgdtnJ8H3oXht3Zd9ridbod8S5K0xWz6NbgRsQe4CrgHeDtwV3VbSmksIh4Cnh0Rh4ELarfnz1+ZP3/2Bo6tbc9bgbcC7NmzhwMHDmz0LZ7V6OhoQ36P1s6alFOr1WVHvlxLF7A7X2AuEse6pjjSPcWRnimOdE/mj1Mc7Z7icM8kI52N6QVudrNUeJLTPMnps+7bWQl2TXexc7qr5rEze5zJ1mXrO+mda69rGG61z8pWYE0kqZw2NeBGRCfwceAjKaX7ImIAOLpot2FgG5y5P87wMtvIt6/32DNSSrcCtwLs27cv7d+//xze0focOHCARvwerZ01KSfrsnbjzCwaBj3fE1xd14jJsFrJTFvicM8Uh3umzrpvH52LeoH7F/QGV9ftYYC+ddwSys9K41RITDDDBLNMMMN4zfMJZvPXM3zj3kNc8sy93MBeXsjTi262JCm3aQE3ItqAjwHTwE/lq0dhyWxFg8DpfFv19eSibRs9VpKaSh+dXM1urs57fRdLJE4yueIw6IMM86+MMLcl745dfuPM8AineIRTZ91325lrg6vht//M89qQfD79dHuzAxKJaeaWDZmrPV8cTsdrjl+6bf75FHNra9gzAe7nnbzYgCtJJbIpfzkjIoAPAXuAm1NK1W6Ee8iula3u1w9cQXZt7cmIeAq4HvjbfJfr82M2eqwktZQg2EUvu+jlBvYuu88cFQ4xuuxEWI/nofhUZYKOtnbaaaONoI2gPX/Mnhe5njUf20YwzCSHGOMwoxzKl9NrvNd3PZ1mmtOc4NucOOu+O+lhDwPM7JtgkPtpI4j8/QWs6fW5HLP6Phv/+Ym0TFBdvad0gtmGXaO+HhMNmkROkrQ2m3Vq+I/IzmV+d0ppomb9Z4DfiYhXA58D3g38Sz5JFMBHgXdFxNfJwvFbgDduwrGSpEXaaTtzG7DvXGGfA//Q3ENhx5k5E3gPM5Y/VgPwwjBchuBSnRQsuzBnrOjmaBkTXhogSaWyGffBvQR4GzAFHMo6cwF4W0rp43lA/QPgT8nuZfvamsN/lSwcPwZMAO+t3uYnpXR0vcdKkrScPjq5jJ1cxs5V90skRpleIQjXrssep9c6rFVNZ7wEJ0IkSfM24zZBj8HKU0emlP4OuGaFbVPAm/JlU4+VJGm9gmAb3WyjmysZWnXfROIUk2sKwocZ9TroLaCHDvropJcOevPH7PX885FDx7l079P5Tq+/laRScfYKSZI2IAh20stOerlmhUnAqiokTjCxYhCufX6UMaNwroO2ZUPmcs9X39a5ILguF2K76aBtDbd8OnDfAfbv3V//Ny9JOicGXEmSGqSNYDd97KaP53D+qvvOUuEY4xxljP/39X/kefueTyILyYmUP2avl1u31tfrOWa9PwOW9o6erae0l046aKtTRSRJzcaAK0lSCXXQduaWQcdHt/F8nlZ0kyRJKj1PiUqSJEmSmoIBV5IkSZLUFAy4kiRJkqSmYMCVJEmSJDUFA64kSZIkqSkYcCVJkiRJTcGAK0mSJElqCgZcSZIkSVJTMOBKkiRJkpqCAVeSJEmS1BQMuJIkSZKkpmDAlSRJkiQ1BQOuJEmSJKkpGHAlSZIkSU2ho+gGSJIkbZa5OZieru8yMwOPPXY1H/wg3HwzvO51Rb9rSVKVAVeSmlSlAiMjcOrU8svw8NJ1hw8/j507ob199aWj4+z71HNZy++v/htUKlnoqT7fiq8PHbqGj3wEIrb2Alk4rGf4TKlRn7ALANizx4ArSWViwJWkkpqdPfeAWrucPr2eL/uD9Xgr2rC9RTdAK5ieLroFkqRaBlw1velpGB1t5/jxrFdkdnZ+Wfx6uXWN3GctxwG0tZ2992ot+2z2fuf6s+65Z5C+vs3p0Wtrm+8hKouZmbOH0NW2j44W/Q4knc3UVNEtkCTVMuCqcCnBxASMjW3eMj4+/zwLhTcW/Ta1rOdt6k9ba8BeT3g+21DY5Xpax8c39e1JKiF7cCWpXAy4WpO5ufqEz+rrxl0zpWZWvV5xZqbolkgqSgR0d0NXV32Xhx++j+uuu4Yrrij6HUuSahlwN8mdd8KRI1kQvPPOIYaHs+dbeZmdnQ+jDsGStqaBAdixY+myffvy6++99xvccMPzCv//z+L/F63nuIis9726VHvjt9rrCLjvvvu4+uprSIm6LpVKfX8+1D94VkdV1NuBA4fYv/+axvwySdKaGXA3yS//MnzhC9VX1xbZFElNpDaIrhRKV1o/OJjNNnwuOjpGuNER/aVjmJIkaW0MuJukUWeMde7a26Gra5aeno4ztxbp6Fi4LF63ln2K+lkRq/daVW8xUq/tm/k7Tp4cpr9/+6b08lUqRf+XtlRb2/Lhc6VAunjbtm3+v0WSJOlcGHA3iV9CN6a7G/r7l1/6+lbetpalqwu+9KUvs3///qLfphY5cOCOTatLdXhlEUNoU8p6SxcH1YGBLORKkiSpMQy4m6QVAm49wmf1Z5zrMEppsYiFsxpLkiSp9RgrNsn112f3s2xvh+Hh45x33tCC24hUh5dutaUaYHt7y3ePUUmSJEmqZcDdJO9+9/zzAwfudjisJEmSJDWYV4dJkiRJkpqCAVeSJEmS1BQMuJIkSZKkpmDAlSRJkiQ1hS0dcCNiV0R8JiLGIuKxiHhd0W2SJEmSJBVjq8+i/IfANLAHuAH4XETclVK6p9hmSZIkSZIabcv24EZEP/Bq4FdSSqMppS8DnwX+Q7EtkyRJkiQVYcsGXOAqYDal9EDNuruAZxfUHkmSJElSgSKlVHQb1iUibgQ+mVLaW7PuLcCPp5T216x7K/BWgD179jz/tttuq3vbRkdHGRgYqPvv0dpZk3KyLuVjTcrJupRPI2py0003/XNKaV9df4kkNZmtfA3uKDC4aN0gcLp2RUrpVuBWgH379qX9+/fXvWEHDhygEb9Ha2dNysm6lI81KSfrUj7WRJLKaSsPUX4A6IiIK2vWXQ84wZQkSZIktaAtO0QZICJuAxLwZrJZlD8PvGilWZQj4ijwWAOaths41oDfo7WzJuVkXcrHmpSTdSmfRtTkkpTSeXX+HZLUVLbyEGWAW4A/AY4Ax4G3r3aLoEb9kYiIr3vNTLlYk3KyLuVjTcrJupSPNZGkctrSATeldAJ4ZdHtkCRJkiQVbytfgytJkiRJ0hkG3Pq4tegGaAlrUk7WpXysSTlZl/KxJpJUQlt6kilJkiRJkqrswZUkSZIkNQUDriRJkiSpKRhwJUmSJElNwYArSZIkSWoKBtwGiIi9EXF+0e3QQhHRERF9RbdDC0VET/4YRbdFmYjY52elXCLityPi2qLboYUi4uqIuKzodkhSKzPg1llEfAL4U+CBiHhLvs5/94JFxEeATwF3RMSbIuLSYlukiPj9iPg4cHtEvDyllPysFC8i3gv8JfBDEdFfdHsEEfEXwA8AM54IKo+I+CTwIbK/K78SEduLbpMktSK/PNZRRHwMuBR4HfCLwO9GxLNTSpVCG9biIuKDwLOAXwf+GPhp4Gcj4oWFNqyFRcSngOcBnwD+BvhiRFztZ6VYeXiqAO3AjwD/thpyPflQjIh4E7A3pXRDSuk+YE9E7ImIrqLb1soi4gPAhcBLgTcDbwLsYZekAnQU3YBmlQ9J3gv8aErpCPDHEbEfuCA/4X4wpTRSYBNb2TbgF1JK/wz8c0R8A/hJ4N9HxHBK6d5im9daIuLNwIUppeoJhs9FxOXAi4D7IyKSN+wuRN6L/gWgH5gGfoLsxOj/AnqBsQKb16r6gbsBIuI9ZIHqcuCzEfHFlNLnCmxbS8pP+uwB3pFSmgP+PCK+H7g8IuaAwymlhwttpCS1EM/A1880cAPZmVwi4hnAa4C3AH8H/FpEXFRc81pTRHQAzyAb3gdASukA8N/JzrbfnO/nZ6NxHiQ7AdQWEZ35uingmZCFrMJaJoAZ4KKU0s8DXwN+LA9WH8vnF3CIbAPU/DsH0BcRVwE/DrwN+E/AOPCjEXFxQU1sZXPAs4E3AOS1eSPZ35MPAr8RES8orHWS1GL8El8nKaVTwC3AayLio8A3gd9OKf0o8GPAq4DnFNjElhMR7SmlWeDXgB+IiFdVt6WU/i/wfuC/RMQFDo1tqDuAT+X/5nP5useA7uoOngxqrNrQmlK6nexazytTSu8EJoF3AYeBo56AaJhqTf4K+H7gfwAfTSk9kFL6LNnw/pcAVxfUvpaU/12ZBF4LvDif3+EbZH/vX0t2idIzsC6S1DAG3E0UEW+JiF+MiO+LiItTSp8EXgzcBvxtSuldcKbH8E5gR3GtbR0RcQ1APnQMsl6ozwKvj4gfqtn1M2RfTPxc1Fm1JgAppeHqcP2aEwsnyesQEb8IfCUitjW8oS2m5rOSIlP9LLQD1+XbX0x2nfT1wA/bg1tfNTWpRERHPtT1p4F/QzY8mXz7XcDXgZ5CGtpiav+u5HX5J+A7gN8DDtT8vb8LeBTYWVRbJanV+EV+k0TEXwFvBV4I/BzwkYjYn1I6QdbT8YKI+JF831uAFwC3F9XeVpFP9PXXtUE2pXSYrLfjPuCdEfGzETFEdh3uVWRDMlUny9VkmZDUBZyIiDcAPw+8OqV0unGtbD2L65L3zFbr8gHg7cBXgHellG4mu9Ti6/bg1s8yNZnNN30e+C3gpRHxRxHxsoj4OeAm4F+KaW3rWK4uecgdIzs5d2NEvDXf9yfJ6vL5whosSS3GSaY2QUS8FLgkpXRt/vo6smuj/iQi3pBS+oeI+BDwvoh4G9m1Oj+YUnq0sEa3gIh4B9kJh08B78gnK/oLgJTSPRHxh8C9wG8CrwAuAl6ZTwqmOlipJtUew5qwNEk2lPwY8P35hGCqk1XqUh31cJTspMPPpJQ+BpBSencxrW0NZ/n/14mI+AOyESe/SzZb/07ge1NKjxXU5JawymdlNiLaUkqPRsQ7gd+MiNcAlwHfl1J6sMh2S1IrCU++b1xEPAf4CNmMyQ/m63YDPwt8D9nkUkfIgu0u4FsppYMFNbcl5LNavpYsIH2L7Dqo7wF+p/olsWbfbWTD+ubyHnfVwVpqUg25EfEKsom/XpFS+mZRbW4Fa/2s5NemP1VMK1vLGj8rbfmw5R6ya9e7U0qjRbW5FZzDZ6WNbGbrnWR3TDhUQHMlqWXZg7s55oA+stuaPAiQUjoWER8m6xX83pTSrcA/FdfE1pJSGouIzwFjKaXT+ZAygP+cfzH8DGQnIlJKxwCHv9bZWmqSh9vtZMNfv8Pe9Ppb62eFrFddDbDGz0olIoZSSsfzbV5aUWfn8FnZYY+tJBXHgLtOEbEPqAD3ppTujYj3Ah+OiKdSSn8LkFJ6MCJOAN8N3Fpgc1vGorqcOWueUno4n806yIaVHQWuBL4zIn4qpTRdTIub3znW5Cqy4X+3GG7ry89K+ViTclpvXYAZr1GXpMYz4K5DRHyGbNr/KeC8iPiJlNL/jIhdwBci4nXAX6eUhsmGJg/kE1DMrvJjtUGL6jIUEW8Hbs/rQErpkfzLyEmyWZS3AS/wy2H9rLMm3+Fnpb78rJSPNSkn6yJJW48B9xzlZ2UvI5sFOQG/CvzXiLiU7L6Eo2TXDt4dEaNkvbc3+oW9vlaoy28BH4iIP6teW5ufcb+c7Iz7DSmle4pqc7OzJuVkXcrHmpSTdZGkIWB2XwAAAqxJREFUrcmAe+4Gga+mlCby178UEYeBNwDHUkq3RsTdwCVkE0r9Qkrp28U0taUsV5dD5HUB/jyf+ONashmTv9cvIXVnTcrJupSPNSkn6yJJW5D3wT13DwLfFxHPqq5IKf0e8Dng9/NJi25PKd2WUnq/4bZhlqvL75Pde/D38slYKsBBsiGwTvhVf9aknKxL+ViTcrIukrQFeZugNYiI1wLnA3eQnbV9BzABvC+l9EjNfrcDH85nTFadWZfysSblZF3Kx5qUk3WRpK3PHtyzyCeY+BngJuCDwHOBTwMXA7dExFU1uz8FjDW8kS3IupSPNSkn61I+1qScrIskNQevwV1FRLwPGEopvTB/fQvwXrLbAPQCrwI+GBF/mb++CXhnQc1tGdalfKxJOVmX8rEm5WRdJKl5GHBXEBE7gSGyP3BERAfwIeAtwAUppU9FxIPAS4EfBI4CN6WUHiioyS3BupSPNSkn61I+1qScrIskNRevwV1FRFwBTKSUnqxZdyfwjpTS/1m0b1s+2YTqzLqUjzUpJ+tSPtaknKyLJDUPe3BXkVJ6qPo8IjqBCjADnM7XvRnoA97vfW4bx7qUjzUpJ+tSPtaknKyLJDUPA+7aVVJKcxExCTwZEW8E3g/s849doaxL+ViTcrIu5WNNysm6SNIW5hDlc5TPsjgIPA94eUrpGwU3SViXMrIm5WRdysealJN1kaStyR7cNYqIIPv3ugJ4JvDclNI3i22VrEv5WJNysi7lY03KybpI0tZmD+45iojvAZ5IKX2r6LZonnUpH2tSTtalfKxJOVkXSdqaDLiSJEmSpKbQVnQDJEmSJEnaDAZcSZIkSVJTMOBKkiRJkpqCAVeSJEmS1BQMuJIkSZKkpmDAlSRJkiQ1BQOuJEmSJKkpGHAlSZIkSU3h/wOanyfxOjnouAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}