2022_01_23_Evento_Data_Science_hands_on.ipynb

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  "metadata": {
    "colab": {
      "name": "2022-01-23 Evento Data Science - hands-on.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "Projeto que envolve a raspagem, análise de dados e previsão de casos por série temporal de feminicídio no Estado de São Paulo por meio dos dados estatísticos da Secretaria de Segurança Pública do estado de São Paulo (SSP/SP) a partir de janeiro de 2018. <br><br>\n",
        "Obs.: apesar da lei, que organiza banco de dados contendo índices de violência praticados contra a mulher no Estado de São Paulo, estar vigente desde 2011 (lei nº 14.545/2011), as ocorrências de feminicídio em boletins de ocorrência começaram a ser registradas somente a partir de janeiro de 2018.\n",
        "\n",
        "-Esse projeto foi elaborado durante [as aulas do Data Viking](https://www.youtube.com/watch?v=MMcoDBLXCa4), em janeiro de 2022.-"
      ],
      "metadata": {
        "id": "ncxMrtkbQcpp"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **1ª aula - Web Scraping**"
      ],
      "metadata": {
        "id": "4ML2oT5_XKBj"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "id": "on0ChR5sZ4Vc"
      },
      "outputs": [],
      "source": [
        "import requests #biblioteca de http\n",
        "from bs4 import BeautifulSoup\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#site da SSP/SP\n",
        "site = 'http://www.ssp.sp.gov.br/Estatistica/ViolenciaMulher.aspx'\n",
        "\n",
        "#carregando\n",
        "pagina = requests.get(site)"
      ],
      "metadata": {
        "id": "X7pE4Nmha9Q0"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#raspando as informacoes\n",
        "coleta = BeautifulSoup(pagina.text, 'html.parser')"
      ],
      "metadata": {
        "id": "80PEup53bbZ-"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#acessando titulo\n",
        "print(coleta.title)\n",
        "\n",
        "#acessando o nome dentro das tags do site\n",
        "print(coleta.title.string)\n",
        "\n",
        "#extraindo o nome da tag\n",
        "print(coleta.title.name)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HZ6rAU8abym5",
        "outputId": "c4f6b9b8-2ebb-4b7f-f931-ee5d00f60dee"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<title>\r\n",
            "\tSSP\r\n",
            "</title>\n",
            "\r\n",
            "\tSSP\r\n",
            "\n",
            "title\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#coletando a tag\n",
        "print(coleta.a , '\\n')\n",
        "\n",
        "#coletando o link dentro da tag\n",
        "print(coleta.a.get('href') )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dN3WTahzglo2",
        "outputId": "7b620a8a-76e9-4546-e7e8-b25347dc69c8"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<a href=\"http://www.saopaulo.sp.gov.br/\" target=\"_blank\">Portal do Governo</a> \n",
            "\n",
            "http://www.saopaulo.sp.gov.br/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#loop para extrair os links\n",
        "for Loop in coleta.find_all('a'):\n",
        "\n",
        "  #pegando o link da tag\n",
        "  link = Loop.get('href')\n",
        "\n",
        "  #verificando se existe um link externo\n",
        "  if 'http://' in str(link) :\n",
        "    print(link)\n",
        "\n",
        "  else:\n",
        "    pass"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ulBkvYyEhA0f",
        "outputId": "99de8398-6026-49e2-adbe-0a887141b4b2"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "http://www.saopaulo.sp.gov.br/\n",
            "http://www.policiamilitar.sp.gov.br/\n",
            "http://www.policiacivil.sp.gov.br/\n",
            "http://www.policiacientifica.sp.gov.br/\n",
            "http://www.saopaulo.sp.gov.br/sis/noticias.asp\n",
            "http://www.poupatempo.sp.gov.br/\n",
            "http://www.acessasaopaulo.sp.gov.br/\n",
            "http://www.e-negociospublicos.com.br/\n",
            "http://www.sap.sp.gov.br/\n",
            "http://www.agricultura.sp.gov.br/\n",
            "http://www.desenvolvimentosocial.sp.gov.br/\n",
            "http://www.casacivil.sp.gov.br/\n",
            "http://www.casamilitar.sp.gov.br/\n",
            "http://www.comunicacao.sp.gov.br/\n",
            "http://www.cultura.sp.gov.br/\n",
            "http://www.desenvolvimento.sp.gov.br/\n",
            "http://www.pessoacomdeficiencia.sp.gov.br/\n",
            "http://www.planejamento.sp.gov.br/\n",
            "http://www.educacao.sp.gov.br/\n",
            "http://www.emprego.sp.gov.br/\n",
            "http://www.ensinosuperior.sp.gov.br/\n",
            "http://www.sejel.sp.gov.br/\n",
            "http://www.fazenda.sp.gov.br/\n",
            "http://www.gestaopublica.sp.gov.br/\n",
            "http://www.habitacao.sp.gov.br/\n",
            "http://www.justica.sp.gov.br/\n",
            "http://www.ambiente.sp.gov.br/\n",
            "http://www.pge.sp.gov.br/\n",
            "http://www.relacoesinstitucionais.sp.gov.br/\n",
            "http://www.energia.sp.gov.br/\n",
            "http://www.saude.sp.gov.br/\n",
            "http://www.ssp.sp.gov.br/\n",
            "http://www.transportes.sp.gov.br/\n",
            "http://www.stm.sp.gov.br/\n",
            "http://www.ssp.sp.gov.br/nbo/\n",
            "http://www.ssp.sp.gov.br/transparenciassp/Default.aspx\n",
            "http://www.ssp.sp.gov.br/depa\n",
            "http://bopm.policiamilitar.sp.gov.br/\n",
            "http://www.policiacivil.sp.gov.br/portal/faces/pages_servicos/procuradosJustica\n",
            "http://www.ssp.sp.gov.br/consultabicicleta\n",
            "http://www.ssp.sp.gov.br/conseg/\n",
            "http://www.ouvidoria-policia.sp.gov.br/\n",
            "http://www.ssp.sp.gov.br/transparenciassp/\n",
            "http://www.cidadao.sp.gov.br/\n",
            "http://portal.convenios.gov.br/\n",
            "http://www.sic.sp.gov.br/\n",
            "http://www.ssp.sp.gov.br/leiloessp/\n",
            "http://www.ssp.sp.gov.br/DoacoesSSP/\n",
            "http://www.saopaulo.sp.gov.br/\n",
            "http://www.investe.sp.gov.br/\n",
            "http://www.cidadao.sp.gov.br/\n",
            "http://www.saopaulo.sp.gov.br/\n",
            "http://www.policiacivil.sp.gov.br/\n",
            "http://www.policiacientifica.sp.gov.br/\n",
            "http://www.policiamilitar.sp.gov.br/\n",
            "http://www.ssp.sp.gov.br/transparenciassp/Default.aspx\n",
            "http://www.ssp.sp.gov.br/depa\n",
            "http://bopm.policiamilitar.sp.gov.br/\n",
            "http://www.policiacivil.sp.gov.br/portal/faces/pages_servicos/procuradosJustica\n",
            "http://www.ssp.sp.gov.br/consultabicicleta\n",
            "http://www.ssp.sp.gov.br/conseg/\n",
            "http://www.ouvidoria-policia.sp.gov.br/\n",
            "http://www.ssp.sp.gov.br/transparenciassp/\n",
            "http://www.cidadao.sp.gov.br/\n",
            "http://portal.convenios.gov.br/\n",
            "http://www.sic.sp.gov.br/\n",
            "http://www.ssp.sp.gov.br/leiloessp/\n",
            "http://www.ssp.sp.gov.br/DoacoesSSP/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#minerando uma informação da Pagina. No caso, um período de tempo\n",
        "coleta.find( id='conteudo_repPeriodo_lblPeriodo_2' ).get_text().split()[-3:]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WhDxJivphlqg",
        "outputId": "0763d582-221a-4000-a56e-310184d5a4c2"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Novembro', 'de', '2021']"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#buscando todas as tabelas\n",
        "tabelas = coleta.find_all('table', attrs={'class':'table table-striped table-hover table-condensed'} )\n",
        "\n",
        "print('Total de tabelas localizadas:', len(tabelas))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UShXn2ZBjMyc",
        "outputId": "ae31a817-3d34-4344-8163-b6db05ee7d90"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total de tabelas localizadas: 123\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#criando listas para salvar os dados\n",
        "rotulos = []\n",
        "dados = []\n",
        "periodos = []\n",
        "\n",
        "#funcao para criar uma data\n",
        "import datetime\n",
        "from dateutil.relativedelta import relativedelta\n",
        "\n",
        "#ultima data publicada pela SSP/SP\n",
        "registro_inicial = datetime.datetime(2021, 11, 1)\n",
        "\n",
        "#variavel de apoio\n",
        "loop = 0\n",
        "\n",
        "#loop\n",
        "for consulta in tabelas:\n",
        "\n",
        "  #linhas\n",
        "  linha = consulta.find_all('tr')[2]\n",
        "\n",
        "  #rotulo da tabela\n",
        "  rotulo = linha.find_all('td')[0].text\n",
        "\n",
        "  #valor da tabela\n",
        "  informacao = linha.find_all('span')[0].text\n",
        "\n",
        "  #periodo do loop\n",
        "  data = registro_inicial - relativedelta( months=loop )\n",
        "\n",
        "  #condicao para verificar se é feminicído\n",
        "  if rotulo == 'FEMINICÍDIO':\n",
        "    dados.append(informacao)\n",
        "    rotulos.append(rotulo)\n",
        "    periodos.append(data)\n",
        "\n",
        "  #em caso contrario, passa\n",
        "  else:\n",
        "    pass\n",
        "\n",
        "  loop += 1"
      ],
      "metadata": {
        "id": "qr2ubiGOkzWh"
      },
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#organizando essas informacoes num dicionario\n",
        "dicionario = {\n",
        "    'Rótulo' : rotulos,\n",
        "    'Quantidade' : dados,\n",
        "    'Período' : periodos\n",
        "}\n",
        "\n",
        "#criando o dataframe\n",
        "base_dados = pd.DataFrame(dicionario)\n",
        "\n",
        "#exportando os dados para o excel\n",
        "base_dados.to_excel('Base_Dados - Feminicidio.xlsx', index=False)\n",
        "\n",
        "print('A base de dados tem formato:', base_dados.shape)"
      ],
      "metadata": {
        "id": "vClCih4BlBT5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c744b882-0558-47c9-a9dc-82dc22c621c5"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "A base de dados tem formato: (47, 3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **2ª aula - Data Visualization**"
      ],
      "metadata": {
        "id": "LFmoUqGBXoVq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "base_dados.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "zxn9LSYd4_6T",
        "outputId": "710109ec-9f69-4105-c5b0-0c95c10c73ef"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Rótulo</th>\n",
              "      <th>Quantidade</th>\n",
              "      <th>Período</th>\n",
              "    </tr>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>9</td>\n",
              "      <td>2021-11-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>9</td>\n",
              "      <td>2021-10-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>6</td>\n",
              "      <td>2021-09-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>8</td>\n",
              "      <td>2021-08-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>8</td>\n",
              "      <td>2021-07-01</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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            "text/plain": [
              "        Rótulo Quantidade    Período\n",
              "0  FEMINICÍDIO          9 2021-11-01\n",
              "1  FEMINICÍDIO          9 2021-10-01\n",
              "2  FEMINICÍDIO          6 2021-09-01\n",
              "3  FEMINICÍDIO          8 2021-08-01\n",
              "4  FEMINICÍDIO          8 2021-07-01"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "base_dados.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "r8XsrlH8kAO3",
        "outputId": "65785523-63c7-4753-e47c-63c0eab86eb2"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Rótulo</th>\n",
              "      <th>Quantidade</th>\n",
              "      <th>Período</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>16</td>\n",
              "      <td>2018-05-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>14</td>\n",
              "      <td>2018-04-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>8</td>\n",
              "      <td>2018-03-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>8</td>\n",
              "      <td>2018-02-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>5</td>\n",
              "      <td>2018-01-01</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-953bc316-c46d-4d70-a869-affbe79092f6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "      </button>\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-953bc316-c46d-4d70-a869-affbe79092f6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-953bc316-c46d-4d70-a869-affbe79092f6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "         Rótulo Quantidade    Período\n",
              "42  FEMINICÍDIO         16 2018-05-01\n",
              "43  FEMINICÍDIO         14 2018-04-01\n",
              "44  FEMINICÍDIO          8 2018-03-01\n",
              "45  FEMINICÍDIO          8 2018-02-01\n",
              "46  FEMINICÍDIO          5 2018-01-01"
            ]
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import plotly.express as px"
      ],
      "metadata": {
        "id": "P7lG-Tcekf5c"
      },
      "execution_count": 56,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#checando campos nulos\n",
        "base_dados.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ktI46XD4kxK7",
        "outputId": "098428b1-a1ae-497e-c42b-30a5851d98a2"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Rótulo        0\n",
              "Quantidade    0\n",
              "Período       0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#analisar o tipo da informacao contida na base de dados\n",
        "base_dados.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zQxOIbIVk55j",
        "outputId": "fd1e15ae-7f16-4b09-8fe0-2fb855180688"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 47 entries, 0 to 46\n",
            "Data columns (total 3 columns):\n",
            " #   Column      Non-Null Count  Dtype         \n",
            "---  ------      --------------  -----         \n",
            " 0   Rótulo      47 non-null     object        \n",
            " 1   Quantidade  47 non-null     int64         \n",
            " 2   Período     47 non-null     datetime64[ns]\n",
            "dtypes: datetime64[ns](1), int64(1), object(1)\n",
            "memory usage: 1.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#converter o campo \"Quantidade\" para numerico\n",
        "base_dados['Quantidade'] = pd.to_numeric(base_dados['Quantidade'])\n",
        "\n",
        "base_dados.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ic9wLdrmlhFv",
        "outputId": "4c28d98d-a467-403c-9511-68a77ffc588f"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 47 entries, 0 to 46\n",
            "Data columns (total 3 columns):\n",
            " #   Column      Non-Null Count  Dtype         \n",
            "---  ------      --------------  -----         \n",
            " 0   Rótulo      47 non-null     object        \n",
            " 1   Quantidade  47 non-null     int64         \n",
            " 2   Período     47 non-null     datetime64[ns]\n",
            "dtypes: datetime64[ns](1), int64(1), object(1)\n",
            "memory usage: 1.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#mostrando a análise estatística básica\n",
        "base_dados.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "NJhHzCCNl4Nx",
        "outputId": "9b0c81c8-964b-493b-eeb6-76b1c1b349bd"
      },
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "      <th>Quantidade</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>47.000000</td>\n",
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              "      <th>mean</th>\n",
              "      <td>13.297872</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>5.384821</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
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              "      <th>25%</th>\n",
              "      <td>9.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>13.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>17.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>27.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-995d04f0-fc88-46cf-841c-828fb8781d01')\"\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
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              "\n",
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              "          const element = document.querySelector('#df-995d04f0-fc88-46cf-841c-828fb8781d01');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       Quantidade\n",
              "count   47.000000\n",
              "mean    13.297872\n",
              "std      5.384821\n",
              "min      5.000000\n",
              "25%      9.000000\n",
              "50%     13.000000\n",
              "75%     17.000000\n",
              "max     27.000000"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#incluir o termo 'Período' como índice\n",
        "dados = base_dados.set_index('Período')\n",
        "\n",
        "dados.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "sfakrLBgmY3P",
        "outputId": "33496faf-01d4-4935-893f-8b1191fccef3"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>2021-11-01</th>\n",
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              "      <th>2021-10-01</th>\n",
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              "      <th>2021-08-01</th>\n",
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              "    <tr>\n",
              "      <th>2021-07-01</th>\n",
              "      <td>FEMINICÍDIO</td>\n",
              "      <td>8</td>\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3d0cb581-3810-410a-9012-5a152a1b7c9b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-3d0cb581-3810-410a-9012-5a152a1b7c9b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                 Rótulo  Quantidade\n",
              "Período                            \n",
              "2021-11-01  FEMINICÍDIO           9\n",
              "2021-10-01  FEMINICÍDIO           9\n",
              "2021-09-01  FEMINICÍDIO           6\n",
              "2021-08-01  FEMINICÍDIO           8\n",
              "2021-07-01  FEMINICÍDIO           8"
            ]
          },
          "metadata": {},
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#retirar a coluna \"Rótulo\"\n",
        "dados.drop(columns='Rótulo', inplace=True )\n",
        "\n",
        "dados.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "iwK8wxminxxm",
        "outputId": "c3f651eb-1c0d-4694-9478-6062cb4709c4"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-7642d1b6-043a-47b6-a679-5aed19c58ce9\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Quantidade</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Período</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2021-11-01</th>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-01</th>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-09-01</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-08-01</th>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-07-01</th>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7642d1b6-043a-47b6-a679-5aed19c58ce9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7642d1b6-043a-47b6-a679-5aed19c58ce9 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7642d1b6-043a-47b6-a679-5aed19c58ce9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "            Quantidade\n",
              "Período               \n",
              "2021-11-01           9\n",
              "2021-10-01           9\n",
              "2021-09-01           6\n",
              "2021-08-01           8\n",
              "2021-07-01           8"
            ]
          },
          "metadata": {},
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Testando gráfico em linha das bibliotecas Matplot, Seaborn e Plotly"
      ],
      "metadata": {
        "id": "TIB7ZpDvPug_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Matplot \n",
        "\n",
        "#tamanho da imagem\n",
        "plt.figure( figsize=(10, 6))\n",
        "\n",
        "#titulo\n",
        "plt.title('Quantidade de Feminicídio no Estado de São Paulo')\n",
        "\n",
        "#labels\n",
        "plt.xlabel('Período Histórico')\n",
        "plt.ylabel('Quantidade de Feminicídio')\n",
        "\n",
        "plt.plot(dados, color='#203040', linewidth=3, marker='o', markeredgecolor='red');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "id": "kvioK9jLoiFW",
        "outputId": "fdddfb3b-4186-4625-aded-e30fef885068"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Seaborn \n",
        "\n",
        "#plot do Seaborn de linhas\n",
        "sns.relplot(data=dados, kind='line' )\n",
        "\n",
        "#ajuste do tamanho\n",
        "plt.gcf().set_size_inches(12, 6)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 431
        },
        "id": "wcLgpJzNpOtS",
        "outputId": "e6fa448f-0119-478e-d561-35e184259bda"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Plotly\n",
        "px.line(dados, y='Quantidade', x=dados.index, width=700, height=500 )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "GG6TjzaQq7ks",
        "outputId": "c86f2174-bd41-4322-fbe1-a7b5be5494fe"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>\n",
              "            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>\n",
              "                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-latest.min.js\"></script>    \n",
              "            <div id=\"4dd23068-46ec-43bb-be94-ae90d6f801fb\" class=\"plotly-graph-div\" style=\"height:500px; width:700px;\"></div>\n",
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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Testando gráfico de boxplot das bibliotecas Matplot, Seaborn e Plotly"
      ],
      "metadata": {
        "id": "HiZ9GG5HTrz3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Matplotlib - Boxplot\n",
        "plt.boxplot(x=dados['Quantidade']);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "BjCOfX_LrfRz",
        "outputId": "775e64b9-2c6b-4c39-ddab-b3162d800831"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Seaborn - Boxplot\n",
        "sns.boxplot(x=dados['Quantidade']);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "2v_M0ksesbfV",
        "outputId": "d1b21596-43bd-4dcd-d0aa-7465cb24f4e4"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plotly - Boxplot\n",
        "px.box(dados, y='Quantidade', width=500)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "u7hnpQi5sl89",
        "outputId": "011ab745-4f3e-4515-8667-bca7bd37c39b"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "            <div id=\"31acfd0d-00b0-479a-9a63-5e2acee2ae44\" class=\"plotly-graph-div\" style=\"height:525px; width:500px;\"></div>\n",
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\"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"width\": 500, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0]}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Quantidade\"}}},\n",
              "                        {\"responsive\": true}\n",
              "                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('31acfd0d-00b0-479a-9a63-5e2acee2ae44');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })\n",
              "                };\n",
              "                \n",
              "            </script>\n",
              "        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Testando gráfico em barra das bibliotecas Matplot, Seaborn e Plotly"
      ],
      "metadata": {
        "id": "t9JJtKOBT8HN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Matplot - Barras\n",
        "plt.figure( figsize=(10, 6) )\n",
        "plt.bar(dados.index, dados['Quantidade'], width=20 );"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 374
        },
        "id": "KHIQ3tSLstBa",
        "outputId": "fb22fe92-4dab-4643-d878-61e3d1ee679e"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Seaborn - Barras\n",
        "sns.barplot( x=dados.index, y='Quantidade', data=dados, color='salmon', saturation=0.4);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "IMhSaUpJtCbW",
        "outputId": "5c5b4b98-41a5-4fea-b1ce-4e1d5fbc8dbb"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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x6KfNokyn8einHXPm7oYXSZIeqnk87SlJ0kNi8JMkDc9Bbt89E/hz4CvAl4HXdmlPAu4C9gD3ARfW/v+mDnsfsATsBq4DXgtcBiwCDwL7gL0tL3AxcG9NWwayfrfxXlbHl2ukLXZpWcd9R63jeFoC9wO3rZG2s6vD4X4OlO9I0xYPkL7vAGkHyrd0kHEeybQfynSslbZ0kLS1xrt8kGmcxHQcadpa07F8kLoeaBoPtIyPdB1+qNO4Vprr6uTW1fHx7lllvMt1fu1eY/qXgQfq9x1j82AZ+EvgucDfj413iXLH/ecp+/47a/ltXuyl3KOxGTgPuKer8x7gT7u06ykxYQ8lFnwKeETdzwfwu7X+e2p5fdpv1vxXA0872KMOBwt+Z7SRACcBfw2cVbvfDPxm/f2fKEHmLOCZwP8A/gtwAfB3wK/XvL8EPKfOnA8AX+jyvgx4RU37k5p3bzfenwI+Cuyq49o3lvbXlID2D3XG7AO+Cnyspi0Bt3cLZSdwOXBVXch31vS2UN4OfL2O505KoGwL+//WeizXBdTy7avjXarjXKy//47RBrWL0Qbb7/SWKAcZrYw/6n7fx8qVvF8pd3Zpe1i5Mu/thm9lLY+lLXWffoeyyModUl/mEmUjGd/QVttx7BrL1+bT+Ia5uEoZq+0YxzfYRdae/j5vy3f3KvVpabeM5e3rOl7ufV2/m8fSbu7S7u/63z02nn55PND9Xhorc7Xlvnesnnu74e/r0sYDzoNj4+jT9ox1L3bTPz5vd3XD7h6re1/mnWN5+vW+n/f3dt1LrL2ujq/H+9h//e2nv22jrXt8GffztD/wHl9XF8fyrLV+jq+r/e/Fbtx7uv79+tCP+9Yu7d5uWpeBL44t46Wxebi3G9/Obh7+LaPtex/wzW7+tcCyWMve2Y337pp2c027k7LO7q6fOylB8QOU/ea9lCB3FyUg3gq8vub/KvCNmvZ1SsB6ff3974Br6vheBfwV8Ks1zrygDnMhcA5lv9qn/RklCJ4DfOEhPeeXmTdn5pX19y5KC+4xNfl7gP9af78V2AQ8JjM/Czwf+G3g3bX/C2reTwM3AicCP0d5Rq/lvYXSgjsR+Bngk3VC2njfAnwb5Qjj3lXSttcFdB3lLtCNwGcoK8ljKQv+asodrm0D+hLwhNr9dcpCj/p9PXAco6Oh5gHKQn2wDntrl28nZaXeSzmlfHstp82zoKwcGykrLYxOPS8BV9bf+ygHHnT5lur3HspK1mxgtLNpK3GftqfmS8pBQNS0jV3aPuCGVcbZpus+Vp4ibxtRmx+bxtK+0aX12g5mgdEBSrO3636QMi+bexnNr8WxtP4osi27vi5tZ9LKOK5LbwG3zddTu7Q2T/t52Nf1G4yWy8ld2i7KUWxL6+fb/WN1uXtsvH3dl8bS9nTjWmZ0p3bb+S10ZdIN1w5S2jj/ocsXdZhW9k5G60pSdi4LjHbMdHk/1/3e2NW97bjbuLd05bedfZsXvZu6YVp6m/4NjJbv+DRtYBR0Wvnjdf1Gl7Z5rNwb6/dy92ndS5TpX21Z9Ovjcpd291jZ/fxo03gHo/nal9cOnKCsH8ePjesGRvucf9zVYTdlX3N8zR/1s4ESYG6s3buBU7q0r9U8y4waDsfVtBvq9wOUbf1KyrLcWtM2Av+nft9Qx7tIafzcTll3HkZpYJxIWUdfWefPHuARlEZOG+fLKY2b7wUeDnyQsh/4FuBFdTpfWIe/JDM/X+fRD3dp78ri88ApEdHvQ/dzyNf8ImI78FRKaw3g9MxsC+o44IRV0l5FaSWdMZZ3AfgBSqQez7tQ8/4oZYH0aVspM/hRlAXZp22iLMQTGa2sn6fMyLZjeHQdZ+s+vpZ/N3A2o53YbZSA9XDKwj2BssJB2UGcSlmw1N8n1N+LlHm6sY7/kfV3v9O6ntEOpt/5tx0FdfhnMlq5N7JyIzmpy7epy9Omq9d2wFHnTa/tUDawMihQ+y90v3Ms7a7ud7/xw2jHtqWW2e/82jQv17pn191P08PHysvu94ljw7ZpWKBsML0NjKZ/Iyt3KJtqPxgdMDULY3l7GxntRFvZ/Ti3dGn940S7uzIWGa1DbZz9/O7LDEYBtQXkPr0t97aT3dTle1g37AZGL4ho86PVfSOj4N/KbwElx6ajHTC14TZ342ktvFbexrF87aDxxG54KDvPdtC4gVHQaPnu6+rcHyRQx9mWR5+vdT+hK2t5LG17V9ctjObVMqNA1rbntu7uZbSeLbBy3uzt6tfvC6Asi2XKfmxDHba3j7LfaflO6qZlC6Ptahcrt/UFRgdAt3TT1qa57T/6syRRx7ellvcgpXHR1qEtlPVogdGBadZht1O2o7+s6bu6tLY/3Fjr8PeMDva/nbKcTqbM27+vdbgfeDyjhsIplAP1MygHt4+NiB017aQu7twInF5/P4aVjYJvMmp0rOqQgl9EnAi8F3hdZu5cI213nxYRz6MEvzdQFvp43pa2Vt4fo+yQd4/lO4ES/FZLO46yorejqn5HuJMyg1tw7DeCk+uwX6/dp/STWPN8W+3uNywoK0E7outbAG1H355BbOW1jb7tCJrFsd/9RjzemntE191OZ7Rx9su0b/VAeXdfr23MLVA37ai32TJW17YhtbR+R9zPn7vHuvvfbSfX13W14WD/lne/7NoG3fRBfLzF0rcY2vJpdVhkZX361l5/kAJlY93WjaffwX+DUfBrR/NNOxNAHWZPl/Ygo3kwHvyS0TxoraBeG08LgH0guIeVO/Qcy9fS2vX3Vt5SN4372D+gPKsbZ9/CXWIU1JcYHZxQp6/Vre3IW77rWTkf+wDfDpTa737d6VtnsP+B2gbgs/X3RlZuo0G51NCmcW9XZjLaVtvZgYVu2DYdbfpbvv4Ap93bsNzlC8p60PL2B38bKfOhnWZuBxHjQbsdBLT1sl/Hm/7AZVwbftcB0u5bJa3V9xvsvw4uU1q0+9h/e7mLchpzF/sfuDS7GJ2VGLc7My9fI2216TskBw1+EbGJEqDenZnv65JujYgza9qlrHzF2D3AOyhN0kuAu7q830FZeD9BOeX5F8BCRFxFuVlmqea9i7IAFiLiqoj4Scrpr0dTZu59tQ5XRcSdddztJaz31PH8KvBva79TKDP4gfo5idL6DMoOczPwx5SZeQLwQ5SNuG2EbeV+FPAMRjs4KP8sQR3PyYyOypYpR0ntqGiBcn2Smt63bh5G+ZumNp52HaV1t42/nUZqC721XtvG2adt7spoGwxdd0tbYGUrbKGOtz+a74PKAqOd33jw2Ug5JQPlKLA/lbTAqNXaxtfynsRonrZT0y3tUV3dV2sx9MuoPwW7kdFpHCjLtQ8w/RF7f3oOVp4e65c1lGXV6tOWa9NOsbfy+3l+dleX8Rbsw7q6j2/QrQXXbOiGaS2vpj+l3s/vlnZv193nG2+x9nU/jv3LaMuvb6lRx7G5G66fnnYWpo2zD/D/jJXzcbxV3J8VOaEb56b62dCl99vVhjpuGAXOPu07ut+bGS27zV2Z49PxSFauZ/10bO/KaAGqdZ9eh20HoVsYTXNrQT6W0UFsf3bhOMp2FZSDkrZPafX6R/X34+t3v3weW8fVzgJs6vK065xbKAf/bR/SWpPtgKWdJWktwz2Us3mLlHWsnTnYxeh640bKmYaT6zTfWsu6l3IAfyZlWZ5AabGeSYkj91AaMTdTtu921u0mYFd3OvNbKWfpWtphvfbygMEvIoJy48d1mfmmseRLKdevrqsz4gM1z7Y6sR+kXJjcBLyzS/sdSivsN2re2yg3zpxNubO0XWO5hjIDW9oHGa3U7SaC99a0pzKa4Rtq+i2UI6x3MWq2b6A0hzdQFsDnGJ2/30tZOdrF8V9m5c0of8voOsTvdfOhnb5qd1C1I+19tf9xjK5ZLVOCSttR9Dc5JKOjUIBrGW10u8fmfb+x9ddOlru01rLpd6SburL7Vke/IbVpais5lA1h/IhtU5c2fv2mr1+/8R/sKK0/gh0P1L3VTu/CaMc1fs2nDxT90e79rDyCvbHL09/A0NelzePWEu7H2XYa7UaF8VOH97Oytd12NFCWR3/A01owbR3sW4awctm2m0z6tFZmf70UVgaO/kad/hTl+DU0WHmKrt0I0s/v1fLCyjMG/U1S42+X6m/ggZUHcq3sft40/c1BMDrd1oynjZ8Wjy6tD479Nb3+lHJfLoyCf7+O9Zcr+iDej7e1MsevUbeD5i2svCbct8Q2U+6faMGoHaTfw+gyQzvoPJVREFug7BNb+hMpy2RDzXcco5ue2kHc8ZTTlU+jzLs7atoSpfHQTh3fU8f/OUojZBtlfd5BWe83Uxo1pzK61PSSbpy/B3wf5brfTuBf1XlwEzW2UGLOg8B5EXFOHc/7urSXR3EOcG93enR1B7nb87vqjLqaclfkVcALurtr+ub5NbXf2+qMaMFgqaZdxcq74Nqn5b2sy9N/9lIC5d+uknf5IGn3svJOtPH05TXSHsptx378+PGzXj8tEK6W1k7hrrZvXKY0KP4jo8fY+rS7KadD72N0U0sb1yKlofMh4GcZ3ZWadbgPUh51ewNlX94/6vAZSmDcQTkQeBujRx2+AJzaPerw5pr/GmDHwe729PVmkqTB8Q0vkqTBMfhJkgbH4CdJGhyDnyRpcAx+0gxExCkR8VMHH1LSJBj8pCMQEUv1BQvXRsQfR8T481wH85uUZzkPtbzL6iueJB0FBj/pyDyQmWdn5pMoz6L+5KFkioiFiDgd+JPM/NREayhpTQY/6aH7FPDtEXFCRFwcEV+MiL+MiBcCRMQrIuLSiPgE8HHKWzN+uaZtiYh3RMQ1Nc/zav/jI+IPIuK6iHg/3Qu5I+LcOvy1EfGrU59a6Rgw/oohSYchIhYo72T9EOXtF5/IzFdGxCnAFyPiY3XQpwFPzsy76j+kNK8BMjP/SUR8B/CRiHgC5R2wuzPzOyPiydS/u4qIR1PeWftPKW/S+EhEvCgz//fEJ1Y6htjyk47M8fVl7JdT/rvs7ZR3E15Y+19GeTdh+2eEj2bmXauM57uA3wfIzK9S3i/6BODZXf+rKa8YhPKS5ssy8/bMXKT8Z+azj/rUScc4W37SkXmgvlT9/6svgv/hzPzaWP9nsP/LvyXNkC0/6ej5MPAzNQgSEU89hDyfovyVF/V05zbKP2x/EvjXtf+TgCfX4b8IPCciTouIjcC5lL8Fk3QYDH7S0fOfKX/1dHVEfLl2H8z/BDZExDXAHwKvyMw9wFuAEyPiOsrb7q8AqH/TciHl77/+CrgiMz+w6pglrcl/dZAkDY4tP0nS4Bj8JEmDY/CTJA2OwU+SNDgGP0nS4Bj8JEmDY/CTJA3O/wMvI6XMqvfvxAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# plotly - Barras\n",
        "px.bar(dados, x=dados.index, y='Quantidade')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "FDIJt8v6tVqy",
        "outputId": "1f0c99f9-036b-47a7-fbdc-1938382560d9"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>\n",
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    {
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      "source": [
        "#media movel a cada trimestre\n",
        "dados.sort_index(inplace=True)"
      ],
      "metadata": {
        "id": "fyqEV6OEthqu"
      },
      "execution_count": 81,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#gerando a media movel\n",
        "dados['Média Móvel'] = dados.rolling(3).mean()\n",
        "\n",
        "dados.head()"
      ],
      "metadata": {
        "colab": {
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            "text/plain": [
              "            Quantidade  Média Móvel\n",
              "Período                            \n",
              "2018-01-01           5          NaN\n",
              "2018-02-01           8          NaN\n",
              "2018-03-01           8     7.000000\n",
              "2018-04-01          14    10.000000\n",
              "2018-05-01          16    12.666667"
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          },
          "metadata": {},
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    {
      "cell_type": "code",
      "source": [
        "#alterando o estilo do matplot\n",
        "plt.style.use('seaborn-darkgrid')\n",
        "\n",
        "#alterar o tamanho\n",
        "plt.figure(figsize=(14, 6))\n",
        "\n",
        "#plotar a media movel\n",
        "plt.plot(dados.index, dados['Média Móvel'],linewidth=4, alpha=0.9, color='#ffc857')\n",
        "\n",
        "#incluir o nome da linha\n",
        "plt.text(dados.index[-1], dados['Média Móvel'].tail(1), 'Média Trimestral', color='orange')\n",
        "\n",
        "#plotar o valor real\n",
        "plt.plot(dados.index, dados['Quantidade'], linewidth=2, alpha=0.9, color='#474350')\n",
        "\n",
        "#labels\n",
        "plt.xlabel('Período')\n",
        "plt.ylabel('Quantidade')\n",
        "\n",
        "#legenda\n",
        "plt.legend(['Média Móvel', 'Real'])\n",
        "\n",
        "#titulo\n",
        "plt.title('Índice de feminicídio no estado de São Paulo', loc='center', fontsize=18, color='#474350');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "id": "r_ioLHGRuMb-",
        "outputId": "3f946814-7f00-4c1e-ef75-dd76cb2be31a"
      },
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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zMP9zpBZ8jvyU9Hi57/grFApER+fe5vvT6y2iUUNMrjJEpdI390TwevMfa9ZYYmKi832+IGlpJgDIU/ZY1M88JTXVt198XJ7nxGOlpl6TyvLyU9TvpNmcjsxMd77Bj/j7kJqalu+x09MzkJmZiT/WbcAfBbTqT0m5htp1auGtMa9j7EcTMOatj6DVatCyVXN0694ZPXreUui8KofDiZ9/WoG/Nm9D4tVkOBwO6TlvKT5XqampaNgob7ZJup4p+b9XwPdzbHLjDfmcw/+81/M5FDW58QaMfnMEBEHA2TPncfjQUWzauAU7d/yN4/+cwLezv5QCwD9+34C1q//A+fMXYcmwFHjOfH/Gsb5tqcX43P64ZDl+zLUERESEErf17oHncmSAizum0kpJ8c0RzF1OqFarodNpkVqM60tEFRMDL6JKpKg5EgIKDgS8Qv5f9rOPLUdmprvIMdSoWR1vvzMq3+eijQW3RS9oZPkFL+pINT6fMi7f/UszSb8kx8v3EpduakqJXyb+fIvzc8ipoE59YuBQ4PkKGaH4uySXFV5YUdTvZGHPi+OWF3GMW3t2w0ODBuT7nFgy2LBRfXw7+0scPnQUf+/eh9279mDS+C/xy/LVmDTlE6jV+c/JGT9uMrZv24V777sLnZ/vCINBD5lMhv+Nfi97nCX6XOX/XqTrKS/6euQ5Rz4/x9J+DnOTyWSo36Au6jeoi3vvvws/LPwJc+cswl9/bUe/u/tgxbJVmP71bLRt1wavjXoJ8fFxkMvlmD1rPvbu2e93nMLeU1E/YwC4o89tuK//3dLjiAglqlStkicAKu6YClJUX8tCf2dR+M+QiCo2Bl5EJImKMkAul8OUZs7zXHJS4SU4CQnxOP7PvxAEwe+Lh8PugMfrhU6nRUJCPE6ePIX6Derm2+CiMNHRUUhJTs1nXMm5xhEHp8OJqtWqSF38rkegjxdMCQm+8rSUXOVSHo8HdrsDarUq3+yNmJEzmfx/7rmvbW7xCb5MV0pK3p+LeFf/epcciI6OgkqlyvdnX9Q5xNe6nK58s0i5KRQKtLnJt97U088Ox7q16zF50jRs3rQNd/S5Lc/+VqsNO7bvRsdO7fF8jg6QLpcLVqtNelySz1V8QlwB11PMLhZ8PaONUXl+hvmd43o+hxfOX8SZM+fQ/dau+T7frXsXzJ2zCGnXfFnU9X9s8s1t+mSMX2YzZ2YQAOLj43D2zLk8x8t+33mzqrkZjdHF+jkXd0xigOR2+y++fK2ADKsoPiEO+/YegMPu8CtBdTicsFqsxXovRFQxcY4XEUlUKhXq1KmF/fsPSvNcAF+ZT1FNFpq3uBEZGRYcOnhE2ub1evHc0yMw9sMJAIC27VrDkmHB37v3+r323+Mn8fVXs2DKKnnLzw03NERycgrOn7sgbRMEAbt2+h9LnGO1Yf1mv+1JicmYMmmaNKenuAJ9vGCq36AutFoNtm3d5bf9zz82YeD9j+DkyfznQomNOvbuOeC3feeOvws9X0JCPGrXqYmdO3bDm6P80ev1YtfOPahVu6YUDJaWQqFAq9bNsX/fQdjtdr/ndmzfDb1eV+BaZgqFAq3btMDePQfyBCS///YnFi34CYIg4Mrlq/h84ldISvQPNLtkNU1JN6cDyM5keL0e6X0KgpDnPa5csQYej0e6JiX5XLVt2xonT5zKM5Yd23dDLpejdZuWBVwp32fk3+Mn/OYAOp1O7N930P8c1/E5XP3rOnzy0UTs33co3+cPHTgMIHu9N4/Hi9gYo1+Ac/yfE9I8MvF6tG3XGiaTGceOHs/zvoG88w+vR3HHpNfrAQBJSdnzFJ1OJ/blup65tW3bGoIgSGMX7dyxG4IgBPS9EFH5wowXEfm5+9478dUXMzDu40m46+47YMla36hW7Zr53pEW9bunL35d9RvGj5uC5154ElFRUVizeh2SkpLx6usvAgDuursPVq9ah/HjpuCpZ4ejTp1aOH/uAubPW4wYoxF6g77A4/ftd7v0pe/R4Q9DpYrA6lXr8uzX9ZZOuPHGxvh2xhxkZmaiabMmuHo1EQvn/wiX04Unnx5WousR6OMFk0qlwpBHHsKsmXMxdfI36NX7Vly+fBXffTsPbW5qhaZNm+T7uhsaN8SNNzbGimWrYIyJRqNGDXH8n3+xedNWKJWF/zPx+JOP4qP3P8OnYz/HHX17wev14o91G3Dh/EWMeW90QN7Xo489jNdffQsfvDsO/R+4BxEREdi+bRf27tmP555/AiqVqtDXHtj/Ft54/R0Mf3wo9AY9Dh44gsWLluLOfrdDJpMhNi4Ge//ej5MnTuGhwQNQtVoCbFY7fl25FhEREejUxdf8Q5xntWLZarRo0RRdb+mE+g3qYdOmrWjRqhni4mKxbetOXDh/CU2bNcHZM+ewb+9BNGt+Y7E/Vw89PACbN23FB++Ow8NDH4QhSo8D+w/jtzXrcd/9/RBfSLak3z19sWvnHnzw7jg8OKg/PB4PflqyHDGxMX6B5/V8Dh8aPAB79+zHB++OQ797+qBd+zbQaDRIT0/H3j0HsXrVb2jX/iapsUSr1s3xy/LVWPLDz2jRshlOnvgPq1b+hj539sba1b9j3do/0alLB/S7py9W/7oOn42bjGHDH0ZCQjxO/PsfFi34EV26dkTTZvn/7pZGccckNsP4fvYiyLJKZpct/QU1a1ZH2rWCs17dundG46WN8M20WbDbHahdpybOn7uAed//gMZNGqHbLZ0D9l6IqHxh4EVEfu6+ty8sFgt+XfUbdu38G9WqV8WQoQ/hv/9OFxp4GQx6TJryCb6bOQ9TJ38Dp8OBevXr4eNx70pr/eh0Wkya8gnmzlmIeXMWwWxOhzEmGt1v7YohQx8s9Et+gwb18M77b+D77xbg07GTEBXlW0C5T99e+OC9T6X9FAoFxn76LubPW4wVy37F7FnzodfrcHOn9nh02GC/jm/FEejjBdvAh+6HRqvBL8tXY/3vG6DVatHjtlswbPiQQueevPP+G5j21UwsmLsYggC0aNkU777/Jl5+If95QKIuXTvi/Y/+hx8WLMVH738KyGRo2LA+Pvj4bdzcsV1A3lOTG2/AZxM/wrzvF+HTsZ/D7fagTt3aeH30y36LSeencZNGmDj5Y8yfuxgTPvsCLpcL1apXxRNPPYr7B/jmA6nVakya8gm+n70QM6fPQUZ6BgxRBjRoUA+fTfpQWnT31h5dseHPzVjz6zps27IDnbvejDffHomvps7AlElfQ6OJRJeuHTHmvVHYv+8QJk/8Cp+OnYQvv5lY7M9V1apVMGnqOMyZNR9TPp8Gp9OJ6tWr4clnhmHAA/cW+l5v7tgOI157AT8uXoYP3/tUWkBZoVDg66++lfa7ns9hbGwMPp/6KX7+aQV279qL1avWweVyQavTon79unjhpWfQ585eUgnjsMceRkaGBUt/XIEfFy9D8xZN8cHHb0Euk+PggcOYMX029AYdut/aFRMnj8XsWfMx85s5sFisSEiIR/8H7sWQRx4q/BekhEoyppGjXsLiRUvx8QfjEZ8Qh8EPPwCr1Sa1qM+PQqHAJ5+9j++/W4AF8xfDbEpHTIwRt/bohmGPDynyZgYRVVwyoaDZuERERERERBQQnONFREREREQUZAy8iIiIiIiIgoyBFxERERERUZAx8CIiIiIiIgoyBl5ERERERERBFnY9TZOTM0I9BIler4bF4gz1MCoNXu/Q4HUvO7zWocHrXrZ4vcser3nZ4vUOjdzXPSEhvJZzKQ5mvAqhVCqK3okChtc7NHjdyw6vdWjwupctXu+yx2tetni9Q6MiXHcGXkREREREREHGwIuIiIiIiCjIGHgREREREREFGQMvIiIiIiKiIGPgRUREREREFGQMvIiIiIiIiIKMgRcREREREVGQMfAiIiIiIionrly5jG7d2uPIkcN+2596ahjGjn1feiwIAt55503s3Lk93+P069cLADB16iRcvnypWOfu1q091q9f57dtzJg38OKLz/htmzhxHH77bXWxjpnT2LHvY9u2LSV+XXnBwIuIiIiIqBypUaOmXwB08eIFZGSk++1z6dJFDB/+FDp16lLosV555TXUqFGzVOe12aw4d+6M3z7XrqWiT5+70Ldvv2IdszJRhnoARERERERUfM2bt8SePbvg8XigUCiwfv06dOjQCU6nAwBw8OB+zJgxDUqlElWqVMUbb4yBTCbDBx+MQVJSIpo2bSYd68UXn8HIkaOh1xvw0UfvAgDcbjfGjPkANWvW8jtvlSpVkZSUhPT0dERFRWHLls1o3botzp49DQA4deo/fP75Z5DJZNBqdRgz5n2MG/cRBg0agjZt2sLpdGDo0AexZMkKzJo1HYcOHYDX68GAAQ/h9tv7ltHVCx0GXkREREREJaR0/AfdtWVQZCYF9LieiCqwxg6AO7JRwedWKtGsWQvs27cHHTp0xNatf+Hxx5/Gpk1/AgCmTJmAqVO/QVRUNL7+eio2blwPg8EAt9uNGTPm4OjRI1i6dInfMVNTU/D440+jbdv2+PXXX7Bs2U946aVX85y7W7fu2Lx5A+655378+ecfePDBwVLgNXXqRDz//Cto3rwFFi2aj59+Woxbb+2Jbdu2oE2btvj7713o0KETjhw5hMTEq5g27Vu4XC488cQj6N69R+AuYphiqSEREYUtQRAgCEKoh0FElIc+dWnAgy4AUGQmQZ+6tMj9evbshfXr1+H06f+QkJAAjUYDwFfqd/HiBbz11ii8+OIz2LdvL5KTk3DmzBm0bNkKANC8eQuo1Wq/48XGxuGnnxbjhReexo8/LkJ6urmA8/bG+vXrkJ6ejrS0VNSqVVt67uzZM2jevAUAoG3b9jhx4ji6du2OXbt888y2bNmMnj174fDhgzh69HBWtu1FCIIXKSkpJb9Y5QwzXkREFLa+mTYdVqsVr40aCbmc9wqJiETt23fE559PQFxcPHr06CVtVyojEB+fgK++mum3/6JF8yCTZf8dzX1T67vvZqBjx064//6B2LhxPbZv35rveevXbwCTKQ2rVi1H167dCxyf250JuVwOg8GA+PgqOH/+LI4cOYRRo97CmTOncPfd9+HRRx8vzVsvt/ivGBERhaXMzEz8c/QfnD97HlaLNdTDISLyY4kbCE9E1YAf1xNRFZa4gUXuFxERgTZtbsLq1b/4BUBRUVEAgDNnfOV/S5cuxn//nUSdOnVx/PgxAMDhwwfhcrn8jmcymVCzZi0IgoCtWzcjMzOzwHN3794TCxfO8wv4AKB+/YY4cuQQAGD//n1o0qRp1v49MHfubDRv3lIqk9y2bQu8Xi+cTicmTx5f5PutCJjxIiKisGQymaT/tlgtMEQZQjgaIiJ/7shGMNcYFdIx9OzZGyZTGvR6vd/2N998F5988gEiInzZr3vvHYB69epj9eqVePHFZ9Co0Q1ISKji95r77huAyZMnoFq1Ghg4cBDGjx+L3bt34uabO+V73o0b/0S9evVx5cplafuIEa9LzTUMBgPeeus9AL7Aa8qUCRg3biIAoGXL1rjppnZ49tnHAQjo3//BAF+Z8CQTwqx4Pjk5I9RDkBiNWphMtlAPo9Lg9Q4NXveyw2tdMif+PYEvp3wFAHhl5MtodEPBE80Lw+tetni9yx6vedni9Q6N3Nc9IaH83YxjqSEREYUlv4wXSw2JiKicY+BFRERhKS0tO/CyWhl4ERFR+cbAi4iIwpIpLU36b6vFEsKREBERXT8GXkREFJZyZrxYakhEROUdAy8iIgpLaddyZLxYakhEROUcAy8iIgpLLDUkIqKKhOt4ERFR2HE6nbDZ7NJjlhoSEWW7cuUyhg0bjCZNbgTgW3C+QYNGeP31N6FQKIp9nH79emH16j+DNUzKhYEXERGFHVPW/C6FQg6PxwurlRkvIqKc6tSpi6++mik9Hjv2ffzxx2/o27dfCEdFhWHgRUREYSctq8ywWvVquHTxMjNeRERFaNasBS5evICff/4R69f/BplMjltu6YGHH34ESUmJ+OijdwEAbrcbY8Z8gJo1a4V4xJUP53gREVHYETsa1qhRA3K5HA67A263O8SjIqJwcPXKVWxYv4F/E3Jwu93YsmUzDAYDNm36E19//R2mTfsWm1NE7JEAACAASURBVDdvwNWrV5GamoLHH38aX345A/363Ytly34K9ZArJWa8iIgo7IgdDWNiY6DT6ZCRkQGrxYpoY3SIR0ZEobZq5a84dOAQqteojqbNmoZ0LNOnTcfRI8cCeszmLZrhuReeK3K/8+fP4cUXnwEAnDr1H4YOHYb4+ARcvHgBL730LADAZrPi6tXLqF69BqZMmYjvvpuBjIx0NGkS2utWWTHwIiKisGMy+TJeMTEx0Ol9gZfFamHgRURIT0/P+v+MEI8ktHLO8RozZjRq164LAOjcuStGj37bb99PPvkAHTt2wv33D8TGjeuxffvWMh8vMfAiIqIwJLaSjzYaodfrAABWqy2UQyKiMGHLWtfPbrcXsWfwFSczVRaef/4VvPbaS5g8+Wt8882XcDgcUKvVmDp1Ev7v/16EyWRCzZq1IAgCtm7dDI/HG+ohV0oMvIiIKOyIc7xiY2Og0+sBcC0vIvIRb8LYbbwZI6pRoyZ69OiFX375GQ899DBeeOFpyOVydO/eA2p1JO67bwAmT56AatVqYODAQRg/fix2794Z6mFXOgy8iIgo7IgZL2OMETpdVsaLnQ2JKj2v1wtbVsBltztCPJrQqV69Br77br7ftmeffUH67wEDHvR7rmvXW9C16y3S4xUr1gIA1/AqY+xqSEREYcVus8PhcEKlUkGr1UqlhhZmvIgqPafDCcErAADsdma8qHxh4EVERGElLUe2SyaTZZcaWpnxIqrsrLbsvwOVOeNF5RMDLyIiCivi/K6YGCMASKWGXESZiGw5muzYbaFvrkFUEgy8iIgorGTP74oBgOyuhiw1JKr0bDkaaoRDV0OikmDgRUREYUXKeMX6Ai9mvIhI5JfxYuBF5UxQuxqOHz8ee/fuhdvtxrPPPosNGzbg6NGjMBp95SNPPvkkevToEcwhEBFROSNmvMRSQz3neBFRFkuOvwMsNaTyJmiB186dO3Hy5EksWbIEaWlp6N+/Pzp16oSRI0eiZ8+ewTotERGVc9lzvLIyXuxqSERZbDkCL4fDDkEQIJPJQjgiouILWuDVoUMHtGrVCgAQFRUFu90Oj8cTrNMREVEFYTJldzUEgMjISCiUCricLrhcLqhUqlAOj4hCKOccL4/HC5fLBbVaHcIRERVf0OZ4KRQKaLVaAMDSpUvRvXt3KBQKLFiwAMOGDcOrr76Ka9euBev0RERUDgmCIGW8xLJ0mUwGfdY8r5zzO4io8sn9N4DzvKg8CeocLwBYv349li5ditmzZ+PIkSMwGo1o2rQpZs6cia+++grvvvuu3/56vRpKpSLYwyoWhUIOo1Eb6mFUGrzeocHrXnZ4rYtmybDA43ZDp9OievU4aXu0MQoZGRmQyz0lvoa87mWL17vsVaZrnpnphFyeXVqoVApl/t4r0/UOJxXhugc18NqyZQumT5+OWbNmwWAwoHPnztJzt912G95///08r7FYnMEcUokYjVqYTLy7WlZ4vUOD173s8FoX7eKFy/B6BURFR/tdK3WkBl6vgCtXUhAVHVfIEfLidS9bvN5lrzJdc5MpHV6vb16XIAhISkyDXh9TpmOoTNc7nOS+7gkJhhCOpnSCVmqYkZGB8ePHY8aMGVK5yEsvvYQLFy4AAHbt2oUbbrghWKcnIqJySCozzJrfJZI6G7KlPFGlZs0qNYw2RgNgqSGVL0HLeK1ZswZpaWkYMWKEtG3AgAEYMWIENBoNtFotxo0bF6zTExFROZSWq5W8KHstL3Y2JKrMxOYa8fFxMKWZGHhRuRK0wGvQoEEYNGhQnu39+/cP1imJiKicE9fwMsb4lw7p9VxEmaiyEwRBCrzi4uLw38lTXMuLypWglRoSERGVVPYaXvlnvKxWZryIKiun0wWP24MIVQQMUVEAWGpI5QsDLyIiChsmqdTQP+OlY8aLqNKz2Xyff61WC61Wk7WNgReVHwy8iIgobGRnvHKXGorNNZjxIqqsxDW8dDodNBpf4MWMF5UnDLyIiCgseL1emEz5dzXMbq7BjBdRZWW1+j7/Op0OkVmBl4OBF5UjDLyIiCgsWCwWeNwe6HQ6qFQqv+ekjJeVgRdRZSU21tDqtMx4UbnEwIuIiMJCQWt4ATnneFkgCEKZjouIwoNYaphzjhcDLypPGHgREVFYMBWwhhcAqFQqKCOUcGe64XK5ynpoRBQGxIy3Vpud8WJzDSpPGHgREVFYyM54xeR5TiaTsdyQqJITSw11+uzmGg6HI5RDIioRBl5ERBQWCst4ATnW8mKDDaJKyS/jJbWTt4VySEQlwsCLiIjCQtq1/NfwEum5lhdRpSa1k9dqERERAYVSAXemG263O8QjIyoeBl5ERBQWCmuuAQA6qdSQa3kRVUY5uxrKZDJERkYCAOyc50XlBAMvIiIKC9mlhsx4EVFe1hwLKANgS3kqdxh4ERFRyHm9XpjN6QAKyXjpsjJeFma8iCojW445Xjn/n/O8qLxg4EVERCGXbk6H1+uFIcoApVKZ7z7MeBFVbtYcpYYAoNFklRra2dmQygcGXkREFHJpRZQZAtmLKLOdPFHl43K54M50Q6FUQKVSAWCpIZU/DLyIiCjkimqsAUBax8vCUkOiSkdaw0ung0wmA8DAi8ofBl5ERBRyRa3hBXAdL6LKzJprfhcAaLL+2845XlROMPAiIqKQkzJexqIzXmyuQVT52HJ1NASAyKw5Xg4H53hR+cDAi4iIQk7KeMUWPMdLnFBvsVohCEKZjIuIwoMtV2MNANCy1JDKGQZeREQUcmLGq7DmGiqVCiq1Ch63B06ns6yGRkRhQMx4+Zca+gIvGxdQpnKCgRcREYWcmPEqrLkGwAYbRJWVOMcrZ6mhRpM1x4sZLyonGHgREVFIud1upKdnQCaXITo6utB92WCDqHKyWvOWGmav48XAi8oHBl5ERBRSZrMZgiAgKioKCoWi0H3FwIuLKBNVLjZbVsYrn1JDO0sNqZxg4EVERCElze8qpLGGKHsRZZYaElUm+c7xYnMNKmcYeBERUUhlr+FVdOCl1zPjRVQZWcUFlPU553gx8KLyhYEXERGFlKkYa3iJdFzLi6hSsuWzgLJarYZMJoPT4YTH4wnV0IiKjYEXERGFVJqU8So68NJzjhdRpWTLp7mGXC7nIspUrjDwIiKikCrOGl4iKeNlZeBFVJmIpYY5M15AjnJDNtigcoCBFxERhVRx1/ACsud4sdSQqPJwu91wOV2+DFdkpN9zUkt5ZryoHGDgRUREIVWyjBdLDYkqm5xreMlkMr/nNFkZMHtWRowonDHwIiKikMnMzIQlwwKFQg5DlKHI/fU6sbkGAy+iykJcwyt3mSHAzoZUvjDwIiKikDGZfNmuaKMRcnnR/yRlr+NlhSAIQR0bEYWH/BpriLQMvKgcYeBFREQhk3at+PO7AECpVCJSEwmv1wuHnXM6iCoDW1YZodjVNCexqyGba1B5wMCLiIhCRprfVYw1vEQ6saW8lQ02iCoDsYupNp/AS5rjxRsxVA4w8CIiopDJ7mhYdGMNkdRgI4OBF1FlIJUaFjrHi801KPwx8CIiopARM16xscUPvMQGG+xsSFQ5iKWG+c3x4jpeVJ4w8CIiopARm2sUd44XkLPBBjNeRJWBWGqoY1dDKucYeBERUciIzTWKs4aXSM+1vIgqleyuhvnM8RKba3COF5UDDLyIiChksud4lSTjxbW8iCoTKeOVXzv5rCyYjQsoUznAwIuIiELC6XTCZrNDqVRCnxVMFYfYUtpqYakhUWUgzfHKp9RQbCfvcDDjReGPgRcREYWEKS17fpdMJiv268SMl8XKjBdRZWAtdAHlrHbyzHhROcDAi4iIQiItreTzu4DsOV7MeBFVDmLGS1fYAsoOB7xeb5mOi6ikGHgREVFIpKWVvKMhkGMdL87xIqrw3G43HHYHZDIZIiMj8zyvUCigUqsgeAU4nc4QjJCo+Bh4ERFRSGR3NCxZ4CWu42VlqSFRhSe2iddoNZDL8//aKraUd7CzIYU5Bl5ERBQSplKWGorzPGw2G0uLiCq4whpriKTOhnbO86LwxsCLiIhCorSlhgqFAhqtBoJXgN3GRVOJKjJxDa/85neJuJYXlRcMvIiIKCSk5hqxJct4AdlfwixWNtggqsiy1/AqLPDylRryRgyFOwZeREQUEmaTL+NV0lJDANAbKvYiyg6HA263O9TDICqQIAhl8vmTSg3zaSUvipTmeDHwovDGwIuIiMqc3WaHw+GESq2S7laXhLiIsqUCtpQ/dvQY3nnrXUyZNDXUQyEq0NrVv+F/o9/CmdNngnoesdSwOHO87Ay8KMwx8CIiojKXcw2vkiyeLBIXUa5oGa8tm7dgxtcz4bA7cP78eTYPobB15vQZCIKAc2fPBfU81kLW8BKJc7xsXESZwpwy1AMgIqLKR2qsYYwu1evFRZQtFaSlvNfrxYplv2DjnxsBADK5DIJXgMViQVRUVIhHR5SX2WwGAJhM5qCex5b1GS+s1FBqJ+9gcw0Kb8x4ERFRmRNbyRsLmd8l81ihTVsNbdpKyNzpfs9lZ7zKf6mh0+nEdzO/w8Y/N0KhVGDosCGoVq0aACAjPSPEoyPKnylrjqb4/8EiZrV1hZQaioGXjc01KMwx8CIiojInZrwK62ioT1mAyPSNiEz/C1FJMwAhu9lE9hyv8p3xMpvMmPr5Fzh08DA0Wg2ef/H/0KlzJxgMBgBAenp6EUcgKnsul0vqIChmvoKlOM01pK6GnONFYY6lhkREVOayF0/Ofw0vpfM8IhwnpceKzEREpm+BI7onAECXVWpYnjNely5dwoxpM5CWZkJ8Qhyee/45VK1WFQAQFe0rL0w3M/Ci8JOzvNCUFuSMVzEWUNZoxXbynONF4Y2BFxERlTkp41VAqaE6Y1uebRrzejh17SAoo6DPKjUsr3O8jh09hjmz5sDhcKJ+g/p4+rmnpCwXAGleV3oGSw0p/OQsLzSZTBAEoVRNcoqjeAsoZwVenONFYY6lhkREVObSpDleeTNeMk8G1LYDebcLTmhNawDkzHiVv8BL6lzocKJtu5vw0ogX/YIuIEfgxYwXhSFzjsDLnekOajfBYjXX0HIBZSofmPEiIqIyJQiCXzv53CItuwDBk+9r1dY9cBo6Q6eLA1C+Sg1zdy7sc+cduOvuuyCX570HGhWdNccryPNniErDnKuToclkKjQjVVperxd2uy+LVdh6f5zjReUFM15ERFSmrFYr3JluaLQaREZG+j8peKDO2OG/Tabwe6i9tgJaTSRkMhlsNjs8nvyDtHDi17lQIcfQYUNw97135xt0ASw1pPCWu5Nh7kAsUOx2OwRBgEargUKhKHC/nIGXIAhBGQtRIAQ14zV+/Hjs3bsXbrcbzz77LFq2bInRo0fD4/EgISEBEyZMgEqlCuYQiIgozJikNbzylhmq7Ech9+T4EidTwRI/GPrkedImpesCNPb90Gq1sFqtsFltMEQZ8hwrXJhNZsz4ZiYunL8AjVaDp555Eo2bNC70NSw1pHAmBloqlQoulytogZetGI01ACAiIgJKpRJutxuZmZn8bklhK2gZr507d+LkyZNYsmQJZs2ahU8++QRffPEFhgwZgkWLFqFu3bpYunRpsE5PRERhqrDGGpHp/k01nLq2cGlbwaVt5bdda1oDnd53l9tiDd9yw0uXLmHS+Em4cP4C4hPi8NqokUUGXUB24JXBjBeFIVNWCWztOrV9j4O0lpc4h7OowAvgPC8qH4IWeHXo0AFTp04F4PsHxG63Y9euXejVqxcAoGfPntixY0dhhyAiogqooMYaCtcVKJ2n/LY5DF0BALaYuwFZdpGGzJOBaLXvbni4Ntg4dvQYpkycgrQ0E+o1qIeRo0ZK7eKLotFqoFAqYLfZ4XK5gjxSopIxZ908qVuvLoDgBV7FWcNLpNH4ypY5z4vCWdACL4VCId2hWLp0Kbp37w673S6lf+Pi4pCcnBys0xMRUZgyFRB4ReZqIe9WN4BHVR0A4FXGwh7V0+/56Ig0AN6wXER5187dfp0LXx7xUp7OhYWRy+XS/sx6hb/k5GT8sPAHXLp0KdRDCTqv1yst7F23bh0AwZvjJQZexWncodH4vnMy8KJwFvSuhuvXr8fSpUsxe/Zs3HHHHdL2giY/6vVqKJUFT6AsSwqFHEZj0XdZKDB4vUOD173s8Fr72GwWyOUy1KpZNft6eGxQXtwPyLPXAlJUvw3G6BzXK6ofZCf2QpbpC9yitDLIBQcEIbPQ61rW191sMuPnH5cCEHBf/34YMPC+AptoFCY2zoh0sxmC11Wufm8q4+/5ql+2Y+f2nTiw/wBeHvF/aN6iWZmevyyvuclkhiAIMBj0qN+wFuRyGSyWjOCcX3BDLpchLi66yONHR+shl8ugUAhBvxaV8Xc8HFSE6x7UwGvLli2YPn06Zs2aBYPBAK1WC4fDgcjISCQmJqJKlSp5XmOxOIM5pBIxGrUwmbgKelnh9Q4NXveyw2vtk3g1GV6vAJU6+3pEpv8FrSf7779XEQ2TtxGQ63qpDHdBn7IAAKDTyACvG6kXj8Fkal/g+cr6ui/5YTnsdgdatGyO3nf0QXp66RZ11Wp08HoFXL6UjPiE6gEeZfBUxt/z/06ehtcrwGa1Y8KnUzD00aHo0LFDmZ2/LK/5+XNX4PUKMERFQS6PhNcrICXlWlDOn5ycBq9XgFyuKvL4SqUKXq+A5OS0oF+Lyvg7Hg5yX/eEhPBtqlSQoJUaZmRkYPz48ZgxY4bUuapLly5Yt24dAOD333/HLbfcEqzTExFRmMrTXEPwIjJju98+TkNnvzldIpe2NdzqBgAAg9aXHXOlHAAEdxBHXHyJiYnYvnU7ZHIZ7u1/b6mPI/NYEWXw3dkVy7ooPHm9Xly86Csx7NKtCzweL+Z9Px9/rPujQrY2N2c11og2RsNg0EOhkMNqscLtDvxnsCRzvCKlOV6lu9FBVBaClvFas2YN0tLSMGLECGnbp59+ijFjxmDJkiWoUaMG7r///mCdnoiIwpDX65Um4otzvCIc/0LuTsneSaaAQ98x/wPIZLDG3ofoK1Ng0PjuHVqsVkSmb4Ejumf+rylDq375FV6vF126dUb16qXLUkWaN0JrWoOqgg0ywYv0dM7xCmfJSclwOV2IiTHi4aGDUb16NSxbuhwrV6zCtWtpeHDQwFKVmoYraTmI6GjI5XJERUUhLc0Ek8mE+Pj4gJ5LbJyjK05XQ87xonIgaIHXoEGDMGjQoDzb58yZE6xTEhFRmMvIsMDj9kCn00nNlnI31XBpW0NQFFxC4lHVhFPfCQbtZt8xbV5ozOvh1LWDoIwK3uCLcPrUaRzcfxARqgjc1e+uUh1D7jZBa1oDQEC0DpB5HUhPD07HOAqMCxcuAABqZbVW73FbDxiNRsydMw9b/9oKs9mM4U88VmHWljJnrS0XnXXjJDrGmBV4mQMeeGVnvIrRXENqJ88SQApfFecWDBERhb3cHQ3lmcmIsB/328dh6FbkcWzGvtDrfKVFFrsAmeDMClhCQxAErFj2CwDgtl63IdoYXarjqC1/A/CVpxn1cgACLKnnAzRKCoYL5y8CAGrXriVta9O2DV585QVotRocPngYX079ChZL+K43VxJSxjra9zsuTicxB6GlvFXqalicjFdW4MWMF4UxBl5ERFRmsud3+b6s5Z7b5VbVhltdp8jjCAodlNV8pYUWuxcAoLbugdJ5LpDDLbbDBw/jzOkz0Bv06HX7baU7iOCF2vq39NAXeAEW05VADJGC5OIFX+BVq3Ztv+0NGzXEq6+/iti4WJw9fRafT5hcIZbREVvHizcXjFn/b0oLfEt5m7UECyiLc7y4gDKFMQZeRERUZsS75TGxsYDXCbV1j9/zxcl2iSKqdANkcmTYshsYaK+tAARvYAZbTG63G7+s8GW77ryrr3TnvaQiHP9B7r4mPY7W+f6JTk9Ph8zNBhvhSBAEqdSwdp1aeZ6vVr0aRr7+KmrWqonkpGRMnjAF586G5uZAoIjNNcRMV3RW5stsDkLGy1qSBZTFjBeba1D4YuBFRERlRiw1jIkxQm3dC5k3++60INfDpWtV7GNFanSAQgu7U4Db4wu+lK4LUFv3BnbQRdi5fSeSEpMRnxCPLt26lPo4assuv8dRWYGXyeKFyrInv5dQiKWmpsJus8NgMEgBSG7Rxmi8MvJlNGnaBBkZGfhi8pc4euRoGY80cMSbJ1LGK0YsNQxsxsvr9WbP8SpGxkvcx2bnHC8KXwy8iIiozKRdy5rjZTTmKTN0GDoCsohiH0sul0Onj4YgU/pnvUxrIPOWzV1vh8OJNavXAgDuvf8eKJWl61kl81ihsh/x2xapkiFSLYPHA3hSdwMVsDV5eXcxa35XrTq1IJPJCtxPo9Hgueefxc2dbobL5cLMb77Fjm07ymqYAeNyuWC32aFQKqDX6wFkZ7xMAZ7j5XQ4IXgFqCPVxfpcRUay1JDCHwMvIiIqM+IcrzidBYrMqzmekcOp71zi4+n0OgjySGTYs7/0yjwZ0JjXX+9Qi2XD+g3ISM9Avfp10eamNqU+jtq6DxA80mOvwghAIZUbZpiuQum6cL3DpQC7eDFvY42CKJVKPDJsKPrceQe8Xi8WLfgBa35dW67W+jKJ87uio6VAU8x4mQKc8bLaij+/K+d+DjbXoDDGwIuIiMqMWGpYLeJfv+0ubQt4lcYSH0+v1wGQI1XuH/REZmyBPDOp1OMEAHidUGQm+gVEOZnN6fhz/Z8AgPsG3F9oxqNQgpCnzNBh6IJMTRMYdb5jmi3ePPPhKPTEjoa1ihF4AYBMJsPd996NQUMGQSaXYe3qtVi0YFFQFh8OBqmjYY6undlzvMzwegM3v9JmLaTMUHBD7k7z2xTJOV5UDgRtHS8ionAjCAJMaSYYY4yl/5JcTmWkZ0AdqQ7pWkJerzdrDSAvqir/83vOYehaqmPqssqdUoUm8CrOQu7JuusueKBLW4mMKk8V/2CCALk7GSr7cUTYjyPCeQoQPPAqE2Cu9iIEhf9aQr+tWQuX04UWrVqgUaOGpRo/4JuXlif7p2sPT0QVROt3AgDMVgEq635YY+4pUTkmBY8gCLhwPquxRq6OhkXpdktXREdHY853c7Bz+y6Yzel44qknEBmpDsZQA8YsBV7ZN0lUKhW0Oi1sVhusFisMUQWvwVcSNqmVvP/nTp6ZhOir0yDzWuHStoIl/lFAJoNarYJcLofL5YLb7S512S9RMDHjRUSVxpbNW/Du2+9h756ybb4QajabDR++9yE+fO8jXLp0KWTjSDenw+v1IlonR0SO70SeiGpwqxuU6pjilzKr1QlbzD1+z0XYjyPCdqzwA3idiLAdg+7aMhgvj4Px8nho01YiwnFCynTJ3cnQmP/we1liYiK2b90BmVyG++6/t1RjF+XOdmVqboSgjEKm5kZE631fxE0WL2ReO1S28tuUoaJJN6cjIyMDGq0GcfFxJX59y1Yt8PKIl6DT6/DP0X+wYtmKIIwysHK3kheJgZjJHLhyQ1sBHQ21pnWQeX1liCrbId9nFb5sYmRWS3mHg1kvCk8MvIioUhAEAZs2bgYAnDxxMsSjKVtnz5yFw+GE2WTGlElTceLfEyEZR1paGgAB8Xqn33aHoStQygykr9QQsFitcGlb5wngdGkrAW+OMi5BgDwzCZHpf8GQOBOxF9+FIXk21Bnb/Vq55xZp2Q2Zxyo9XrliFbxeLzp36Yxq1auVauwAAK8TKusBv00OfSfff8iU0MXWA+ArNQTgt84Xhdb5rGxXrdqFN9YoTL369fDk008AAM6cPhOooQWN1NEw2r8sOFpayytwDTasWWt4+WW8BMGXic4hwpH991yr5SLKFN4YeBFRpXDm9BkkJ/kWL01OSgnxaMqWuMBrpCYSDrsDX3/1Dfb8XfbzhdKupUEmuBFryG4mIMg1cOralvqYYqmh1WIBZDJYY+8DkP0lWO5OgTz59yKzWkUSXIjM2AYAOH3qNA4dOASVSoW7+t1Z6rEDgNp2CDIhOxD1KqKQqWmS/f6qNAMAmK2+wCvCfgIyd+AXqqWSy26sUbIyw9xq1fLND0tOTg7oHKlgEDNexphcGa8c87wCJb9W8nJ3KmQei99+Skd2ICau5WVjZ0MKUwy8iKhS2Lkju5wrKek6my6UMxeyAq8HHhyAHrf1gMftwdzZ87D+9/Vl2lEtLS0NMsGFuKjsf3qcug6AvPTzWsS74RaL7+64R1UTTjFjlEWetLpYWS0AgEyJzMjGsMXcC0dUD7+nIjO2QvA4sDyrJOy23j3zlFyVVO4yQ6euPSBTSI91MXUBmRwmq/iFXCjzdcoofxeljFfN6zqORquBwWBApisT6ebwXihbLCWMNubKeElreQUy45W31FDpzLv4tNJ1UVo+Qmywwc6GFK4485CIKjyXy4X9e/cBAGRyGcwmM5xOJ9Tq8J7IHigXL2Q1AKhTG506d0JMbAyWL12OX5avRFpaGh548AHI5cG/D5eecg4QPIiNEq+7DA5D6RccBrJLDW3W7DJAm7EvVLYDfoszF8arjINLcyMyI5sgM7JhdiDodUBt2SUdR+a14fiun3H29FnoDXr0ur3XdY1dkZkIpfOs3zan/ma/x1HRURBkKpgtmdK2SOvfcET1LHV5JgWGeEPjejNeAJBQJR4ZGRlITEyU2rOHI3NWKaExOv85XmkBLDXMr7lGRK7Pi48ApfMMMjVNpYwX1/KicMWMFxFVeAf3H4TD4US9BvWQkJAAAEhJrhzlhnabHSnJqVBGKFGtmm8u0m29euLxJ4dDoVTgr01b8N23s+FyuYI+lvRkXyfDuChfRidTcyO8EfHXdczcGS8AEBQ62KP7FPyiHFktU43RMNV4E7bY/sjUNvPPvskj/QJDt0fA8lWbAQi4s9+d0oKtpaW27PZ77I5smOd6RBkMEGQRMFmzYXQMNAAAIABJREFUM5PyzGQoXeev69x0fawWK9KupUGlUqFK1SrXfbyEKr5jJIfx3yWv14v0dF9GLm9zjaxSwwCu5WW1+EoKdTlKDZWuvBkvAIjIKjeUAi9mvChMMfAiogpPLDPs2KkjqlTxBV6VpdzwQtY8lJo1a0KhyC5ha9u+LV546XlotBocOnAIX02dBmuO4CXQZJ4MmNJ8c+zEUsPrzXYBgF6c42X1H7vD0BkubQvpsVcZB4ehKzISnsC1Wh8go+ozcER1hzeiSqGZI4ehGyDzFYdsOuBAYqoLVeO06NK15Is9+xHcUFv8SwYdupvz7KY36CGTyZFhl8PtyQ6+1BY22QglcX5XzVo1A5ItFv8uifNQw1FGhgUejxc6nQ4REf5LGogZr6DM8coqNZR5HVC4ruS7rzjPS2yuwTleFK4YeBFRhXYt9RpOnjgJZYQS7dq1le4sJ4XxF5xAEueh1K6Td4HXGxrfgFdfG4GYGCPOnD6DzydORkpKcO64R1p24ZrZ18giNkoOrzIemZFNinhV0XRiV0OL/4R7yBSwxA+DucYouBu/X3BWqwiCwgCHviPsTi+Wb/F9EXyohwpKxfX986myH4PMmz1mQa6BS9sqz34KhQJ6vR4CVMiwZQdeKtsBwJuZZ38qGxcK+VyVRoJ4QygxMSDHCwZx/lZ+8xqlrobBmOOVlfFSOs8DyH9OqjjPKzIya46Xg4EXhScGXkRUoe3atRuCIKB161bQaDXl4s5yIInzUMTOablVr1EdI0ePRI2aNZCUmITPJ0yWvlQGjOCGwrQNZqsXMhlg1Ml92S7Z9f8TFBkZCYVSAZfTlbdcUiaHJ6IqoE64rvlQjqjuWLvLiXSrgEY1lejYyIYIexHrgxUhd5mhS3cTIM9/YWRDlAGCTAGTPbu0UeZ1QGU/fF1joNK7IDXWuP75XQBQpRyUGorZLKMx7xw0nU4HpVIJu80esLLl3HO8cs+H9Oeb58WMF4U7Bl5EVGEJgoDdO7PKDDv7Ot0lSIFXJSk1FL8g1in4C6LRaMSIka+gcZPGyEjPwNTJX+CfY/8EbAwq21GYTSYIAmDUy6FQquHUdwjIsWUyGfQ6scGGLSDHzC3NosTq3b5s3eBeOshkMmjSNwKl7Agpd5sQYf/Xb5tD37HA/aOiogDIkOz2X6NMbSn7JQHIJ7uxRmAyXvEJvrl9KSkpYdtSXlyjK7+Ml0wmy5H1uv5yQ0EQpMBLkxVM5e5oKMj9F1aOcJziHC8Kewy8iKjCOnXqNFKSU2GMMaLJjY0BZN9Zrgylhk6nE0mJSVAo5KhRo3qh+2q0Gvzfi8+h/c3t4XQ4MX3aDOzcsTMg44jM2IbUdN+XybgoOZy6dhDkmoAcG8heyytPuWGArF3zGxxuBdo2VqFJbV9WSuk8B6XzdKmO58t2ZQdtHlVNeFQFtySPio4CAKRm+u8T4TgJuTtwpV1UPHa7HclJyVAoFde3eHYOarUa0cZoeNweXEstYsmDECks4wUEttzQ6XTB4/YgQhUBlUoFCN48DWUchm5+j5U5Ay9bcG7CEF0vBl5EVGHt3O4LHG7u2EGaAB9tjEaEKgKWDEuFbzl8+dJlCIKAatWr5ZkMnx+lUolHH3sEt/fpDa/Xi4XzFmHtmt+ua60vhesKlM7TuJYVeMVGyQPSVCMncZ5X7gYbgZB4NRE7tu2AXB6BB+70n4OlSd9Y8gMKXqit/o0xHPq8TTVyMhgMAACTTQGPKmeGRYDayqxXWbt06TIAoEaNGlAqA7cqT3a5YXjeFBIzWQWtXSc12AhAS3mbzfdZFud3KTKT/JaHEOQaOAz+6/UpXRehifQ1EHI4HNc9BqJgYOBFRBWSw+HE/n37Afi6GYrkcrnUUj4pTL/gBEpp5qHI5XLce/+9eHDQQMhkMqxZtQaLFy2Gx+Mp1RgiM7YCAK5l+F4fE5sAj6rw7FtJ6YOY8Vq5YiW8Xi86d+0MY8O7/J6LsB+HwnW5RMeLcPwHuTste4NMCZeubaGvETNe6eZ0OHKVaKote0pd8kilk71wcmDKDEUJYT7/VMxkGYsIvEwB6Gwolg0XNL/Lra4HQRHlm8MpEWBQpvpeX8FvqlH5xcCLiCqkgwcOwuV0oX6D+nnW2aks87wuiAsnl+ILYvce3fHUM09CGaHE9q078O2MWXA4nCU6htJ5Hmqrr2W6WGpoqNK0xGMpivjlLNDt8E+fOo1DBw9DpVLhzrv6wq2uD7e6nt8+Jc16qS27/B67tK2KLLuMzgq8MjIy4NK2AWTZywLI3SlFNB2gQAv0/C6R+HcpMTE8/y6Ja3QVWWoYgIyXmL0WW8nnnt/lVtf1/X9kQ7/tUbKrADjHi8IXAy8iqpB2Za3d1alL3qYF0lpeieF5ZzlQLpzP+oJYSGONwrRq0wovvfIitDotjh4+iqmfTy32/A15ZioMSbMBwQ0ASDV7AZkMhqrNSjWWwuS3iHIg7N3jCxq79+ju+1Ipk8Ee1dNvH5X1AOSZqcU6nsxjhcp+xG9bYU01RIao7IyXoNDBpWnu93zu0kUKruxW8oHpaCiSOq6GaSZenONVYKlhdLTfftdDWsMrq9Tw/9l783g36vPs+5pFo9EunUXneDt4wwsYG2O8ASGEJW7IQgJJoSkQkr60PE9CnpCUhn6Sty9tmoeSQNoAbRJIkxBImrQkISEUXLMn4A1js9gGLwf77Ec652jfZn3/GM1ol0bSSEfnMN/Px39ozkgaaxnN/buv+7osRYsLfHYBhLcWFl4uQjnnmYWXSadiFl4mJibzjqmpKRw/dhwWxoKNGzeW/L23w2cpjEAQBEyMj4MgCCxcVNm4oRbLVyzHV/7mK+jp7cHI8AjuuftejGRX/CtBiAm4Az8syKmaiYmQCRZeX1fDx1IJpzbjZazUUC1cVWMWAOBta0vkTbbYi7oez5p4DZBzkk2J7oFgXV7lHgoetfCKRgGgxBGSSb4OSPV1I00ag+M4TE5MgiRJLFy00NDH1ma8OlBqmMlkkEqmQNO0ttBRjNeXnfEywFxDkxra7SDEBEgh/zUhIDBK0cuzhd8fJzEGQEYmnelYd0iT9zZm4WViYjLv2LdH6QBsOHeDZkWcjxZWOo+lhuNj4xBFCf4+P1hWf2BwOfz+Xnzlb76M5SuXIxKO4J/v/Re8+cZb5XeWebiCPy66UAKmE3bIhAU+n6+pYylHLkTZuI6XJEkYHR0FUDTLQ5AlXS9rfB8IMVb9AWW5RGaYdm7RlS/mLiq8eHYVZMqVOyQpAyZZ4f0wMZSx0TFIkoS+/j7Fbc8IZBkkH0RPtwsESWB6ehqCIBjz2AYRyTPWICp8Zo20k9c6Xg5HicxQZBZqIegy5SpYCKFIwGalIMtK8WVi0mmYhZeJicm8QpIk7M1md23bXl7GlR+i3IxjXyejznctXtx4tysfp9OJW//PF3D+lvPBZTg89IOH8OLzRZ0eWYJz6hclM0cJZgOiSQIUTcHldsFoVHONhIHmGsFAEFyGg8/n1R5fhXOcC4nKm3ORBc1EpBI0NwSKn8jbQiLjOF/XsbA2FjRNI5POKHN2BIWMY1PBPqbcsD2o3V6jjDUsqWPwjN8D79jd6J38J3R7rJAlGdPT+uSr7UKVGFeSGQKAJys1jEaiTXebEmrHy+koOZ/wRXOWxXNedqtyTk+mTEt5k85DV+F17NgxfO5zn8O1114LAPjJT36Cw4cPt/TATExMTBrhxImTmJmegc/nxZmrziy7j8vlAstakUqmWpb9NNuoMrlqwcn1QtM0brzpBnzowx+CLMl47D9/hf/65WPaRZY9/N+K7C0PwboCI9QVAJQLM9XW30haMeOlFa7lXj+CRtr9/oJNbOwVEFJlC2sluysHb1sDmXbrOhaCIDRnw1gsKzcsKtoUt8TOzH+aTzRjWJMPKczAGfwJXIEHQfGTAABCSmGhOwRCVvL3OgnNWMNTufCiaRoulwuSJCEWrdEBrkEykbOTt1Qw1lApnvNyWJVuYTplWsqbdB66fgG/8Y1v4Gtf+5rWVr/ooovwj//4jy09MBMTE5NGUE01tmzbWvEinyCIjrdubpYRgy4QiyEIAld+5EO48aYbQNEUXnrhJTz0/YcgT70ANvpCwb6ipQ8x/2cQCinFgjoDYjRax8vAHC/NmKTC65d2boFM2rXbhJSCNV4hcFrKgEkcKrp/bVONfNzZTqF6QSsy/RCYgYJ9rHEz06vVNGtYA4mHLfw/8I59q6w8tL+LAiFlEBl8SjOm6QTCmrFG9e+wUSHKiaQ642UtCU4udhYtnvNyWDgAsiZXNDHpJHQVXjRNY8WK3IrCypUrW7JqaWJiYtIM6XQah15TLnC3bq8eStvbwYPszSKKohbyarTzmsrmrZvxhS9+XnE8fOMQvvPdR7WsLkCZvYj5/wIyaUcoay/tq3HR1ii5Ga+4YdLRnKSswutHWpF2XVSwiY2+VPZi2Zp8A4ScmzeRKDd425q6jiff2VAl4yzselkTrwKyaSjQKgRBwNiY8r1aVK+EV5bBJN+Ed/zbsEX+p2JR1e9TogKmJwbhDjwEQuyM4kG1iK+U4aWi/j3S5JyX2vFyMmlA5rXtMuWCRBXOiRbPedlZAoQsms6GJh2JrurJ5XLhscceQyqVwuuvv4577rkH3d3drT42ExMTk7o4dPAQOI7DipUrtJDkSvjnscFGYDIAnuPR3dOt2TG3gpVnrsRXv3Qd+jw8hiYF3PnjCE5PCgDBINr7F5BoxcEwHFICg70tMNYAAIZhQFtoCLwAjuOafjxZlnOSsoHKHcO060KAyBkskGJUyy3LpyS7y7GpIItLD8UGG8rjnAsQdO75hRnQmXfrelwT/UxOTEIURPT09sBmq569lg/JB+AKPARn8OGyclCBGUCi+1OQSRv6u5TPxcSMCDp9Ep6J+0HyU4b9HxpFtYivlOGlonbEmu54ZWe8PHTh68Vbl5Y1pMmf87JZCQACUmaIskkHoqvwuuuuuxAIBODz+fDggw/C7XbjrrvuavWxmZiYmNTFnleUC9ytFUw18tGkhsHZv6gxGm0+yWCZYTEkP40V8uO48yY3Vi2hEYpJ+MZPI3g5cBFEa+651Y5XV1drCi+CIPIMNpqXG05PTyOVTMHlcmmGAeWQKUeJZNAWeaGg60TxkyXmAGln9W5sOXKFV252RibtpZleptywZajfqwGdXWRCSsMeegLesXthSR8r+btMOZHovhbR/i8g49yKSP+t8Pt7ACiFFwCQQhCeiftBp2e3oI7oMNfI/3uzzoZqx8tDTxZsL57vUsmf87KzBCCLSKXNGS+TzoOu9sf9+3MuSZs3b8bmzbnskCNHjhTcNjExMZlNgsEgTp44CYZhsPG8c2vur2bmdNoQuxHUmk8ygvysLpedxB2f9uCHT8bx8hEC3/vxTlwdc+CSDygGFLmOV2ukhoBisBEOhRGPx9HV3VxW2IhmTLK4onW2Str9frCxVwDkLpSZ1Fvg7OsBlJpqCOwKSJbq3dhyqDNe+R0vAMg4txQYmliTryMhfVyz2zYxDjU4uaZhjSyBSbwGR/jJCjEDJNKuC5HyfhAymeucSRY/LKu/BJL6MmaiAjheBmMhQEgJuAM/QLz7WnCO0lzCdhAOVw9PVvEa1fHKzme5qbGC7YJ1Wdn98+e8HKrUMBEtu6+JyWxStfB65JFHACgn+mPHjmHdunUQRRGHDx/G+vXrzcLLxMSkY9i3R7nAPfe8c8GybM39cx0vxVK+1gX2XGJE63i1Zr6rXFaXhSbwmes/BtcrJJ568in86j9/hWAgiGs+dXVuxqtFUkMgP0S5+Y5XPc51Eu1FxrFRma/KYos8D852DgCxpAOVdtTf7QKQczUsKrx49kxIlBukmN0uc7Am3ygJWTZpHnXur9rnguJG4Jh5vKTLqSKwK5HwXQWRWVD27yTjRpd/AMGJYUyGRCzxZy/TZAHOqZ8hJUwj5b5MV/6bUUiSpM0W1pIaqn9vZsaL4zgIvACKImAjIgCy/1eCgsCUn61T57wofhJ2qyLmysTGGz4GE5NWUbXwuu+++wAAn//857Fr1648y944vv71r7f+6ExMTEx0oGR3KYXX1m36LmwdDgfsDjuSiSSikWjNldy5giRJGBlRgn+rzSc1TIWsLs6xEWnfh3DlR0j09vbgZ4/+HC+98BKmp6cxM6PMabS045WVGhoRDzAynH39dBauafclBYUXxQ2DzpwAKaVASLlCUCZtWiesXspJDQEABAnOsQls9HltkzX+qll4GUz+96qchJcQE7CHn8rO85UavEiUF0nfR5X3v0bR1NvXh0BgCkOZDViCwugeW/hpkPwUEt2fLJjvayWxaAySJCmZWnT15/Qa4GqouhE67XTBgpjALKn6fxbYFUrhxSr3ycTnn5rBZO6ja8ZrbGysIKGdZVkMDQ1VuYeJyXuHaDRqqI21Sf0cP3YcoZkQurq7sPLMlbrv5+/Lyg3nkcHG9PQ00qk0PB63drFuJGWzutgViHdfCxDKT0qB4+Gbh5FOpUFb6JIgYiPROl5NznjJspyTlOmUaopMP/iiWStb5PkyphobAdLS0HGVM9dQSRcVWXTmJEi+swJ424Esy5icnGxJKHq1QG1SCMMzfm82TqDouQkaKc/lCC+8HZxjg65OlWoMNJJcgnj3dSVGLNbEq211PAxrxhq1F6e0jlek8Y6X+nvqZAtfy0rzXSrqnJfdqrzG6cR77ztg0vnoKryuvPJK7NixA7fccgtuueUWfPjDH8YVV1zR6mMzMel4OI7DP33zbtz3z/fP9qG8p1Gzu7ZWye4qh3qBE5hHlvLDp3XOoTSANfZy+ayu3s+UrESvPHMlvvI3X0FPr2IW4PP5WirndDjUjldzhVc0EkUsFoPNbkN3j3733pTn0oLblvQxWFKFhgr1Znfl49JyvKJaYLWKZPGXXJSWc1ec7xw8cBD/eOc3sWvnLsMfu1qgtjX2Sk7qmQdvOwvhBX+NlPdP6pq5Ux1Xg5MBcM7zEfX/ZcEsGIC2Oh6qxhq1ZIYAwNpYMAyDTDrTsJ17Muto6LQWWu4X53cVo855qR2vdDJeNdTcxGQ20NWnvvnmm3Hdddfh9GklPXzJkiU4fPhwjXuZmMx/RkdGEYvGEIvGkEwmW2rdbVKeVDKFQ4eUDsyWbfXJq+ZjiPKwjjmURrAk34Jj5vGCbflZXeXw+3vx13/zFfz28d9h1epVhh5PMUbNeA3ldbvqKRQF6xkQrCtAZ07mbc2t2IvMIogV5lP0YLFYYLPbkEqmkEwmS7ouGcdm0JnT2m1rYj9Snsu1LuR7gcHBQQDASy/+AZd/8HJD80arGdYwqaMFtyW6B4muq8Db1jb0XLlOvHJeEtgViPR/Ee7Av4MUcoWW6ngY670JwNllHskYVGMNdxWHTxWCIODxehAMBBEJR+qy3VdRpIYynFYOQE5txTPVO17qnJfNqrxXybQMOvNuw++DiUkr0FV4DQ8P4+c//7mm2eV5Hvv378eLL77Y0oMzMel0RrOaf0Bxx1u6bOmsHct7lYMHD4LneJy56kz09PTUdd8+LUR5/kgNc8YQxnW86MwQXFM/Q4GMimAQ9eeyuirhcDrw6ev/zLBjqfY8QPOF18iIeoFd/+uX8lwCV+Bk2b81YiFfjNvtRiqZQjQSLSm8OMcGOEKPa8G8pBACnRmEwOqX3s51pqcUaVkkHME7bx/D2rPqC6muRqVAbVIIgeLzTRwIRPpvhUw5Gn4utRMfDOYWhCRLLyL9t8IV/ElBVpvqeCizNwI4q+HnrEY9HS91v2AgiEgkgv4F/XU/n9LxkuDM80iS6C7IdG3ptMCugINVnBCTGQmW9Emz8DLpKHQtB91xxx1YuXIlDh8+jEsuuQQkSeIf/uEfWn1sJiYdz0he4ZX/I2nSPnIyw/ovbHv980tqKMty7gLRIGMNkp+GK/AjQObztyLWewNEprU5YfXgNMhcY0TreNXfneLZNRAtZdzqCBqc47ymjgvIzXnFYqUW5YpxxzkF26zx/SX7zWemp3Nhu3t37zHscasFaltSbxfcFqxLmyq6AMWEhqZpRCNRpPOyqGTKgWjfX5VayssCqOEfg40819TzViKi00peRd0vlI2RqJdEIgFCFuC05S5Ra8kMVXjrCm3GK5mWQafLL4SYmMwWugovmqZxzTXXwO12Y8eOHfjWt76FRx99tNXHZmLS8YxmV8eB+XPxPpcITAYwePJdMFYGGzbWzu4qRi28poJTJXMzc5FwKIxEPAG7w26Ydbsj9DgIqbCYSXRd3XGryKrrbrPmGjmpZgMdQ4IomfUCAM6+vmRGpxHUOS/V2ruYjKNQamtNvgFImaafdy4gy7LW8QKA119/A6lkYzNGxVQL1C6WGXK25rtsJElWlkETNOLdn0bK88GS+9nD/w06faLp5y8mrHW89BVezVrKJ5NJQBbhtOWkvnwNYw1tP3a5NuOVzMigMsMgJGM+ByYmRqCr8JJlGfv27YPX68Uvf/lL7N69W5NjmJi8V5EkCaOjuXDH4DwM4u109u5Rul0bz9sIlq0/MJZlWbg9bgiCgHCoucDPTiA/f8oIIwtCSsOSeqdgW8pzGTKubU0/ttGoHa9EEx2veDyO0EwIDMNoczb1wtnXl8gvjZAZArmOV6SMsyEA8OxKSFSeHEzmYUkfN+S5O514LA6O42Cz27Bq9SoIvIADB14z5LErBmrLPCxFhQ5vM0bu15s1pSk7f0oQSHk/iHj3n5U4HrKxlw15/nzUGS/9UkPVUr6xwiuRSIKACAebZyWvs+MlUy4QbD8sFkCSgAwvg06/W/uOJiZtQlfh9e1vfxs2mw1f//rXcejQIfz0pz/FV7/61VYfm4lJRxOYDIDncvKrYLD17lImOSRJwr69ipRq2/bG3eJyzoZzv3AerjCH0ih0ehBArhMoWXqR8vyJIY9tNHaHYvARTyQathNXZZqLFi9q3JiBoBDv/pR2QZxxnA8ha3PdLLkQ5VKpofLcJDh7oclCcUdmvjI9rXS7uru7tfOBujDTLLm5vyKZYXoQkDnttkR5IFrqn2kqR6+/dtQF59yEWM9nCrYxySMgxAqfjwZRreH1Sw2VAq3RLK9UfAaQZThUqSHB1PW6CuwKOLIhysmMBEtmsKHjMDFpBVXNNfbvL9SHDw8P4+qrr27pAZmYzBXU+a5ly5fh3cF3EQgEIMtySy2zTXK88/YxhENh9PR2Y8XKxi9se/09OHniJAKBINasNW4YfzZQ55MGDLKSL+6WcOwqXTlEswHDMGCsDLgMh3Q63ZCbmlp4NRs8LbBnYmbx34MU45As9Rm+VMPtykoNK3S8AKXjkt/1sKTeBmS5Y983o9AKr55urD93PVjWilODpzAxPtGQwUM+qqNhca6bJXWk4DZvW2vY6+zv0zd/ytvWQrT4QYrqfiKsiQNIuy8x5DjS6YySw0fTmpy3FmrHq1GpYSqmvJeq1JC3DpR09qrBW1fAzhIIx5U5L48552XSQVQtvB555BEAykn+2LFjOPvssyFJEg4fPoz169dj8+b6rJtNTOYT6kXa6rWrMTExgVQyhXgsrs1hmLQWdXh+y7atTRW7/r4+APPDUj7X8TLG9KJERsWeacjjtgqn04mZzAwS8URDhVcuONmAwpVkIZFs7f3qQLXzrjTjBWSzjAhG68SQYgQUPw6RWWjosXQaU1O5jpfVasXG8zZi9yt7sHfPPlz1iY81/Lj5gdoFc3+yDKbIWIMzcO6xnLNhWQgCGecWWCJPapvY+F6kXe83pAiMRJSulcfr0X2ebTZEORlXTDlUcw29MkMVnl1eYLBBcSMgpJQhc5YmJs1SVUtx33334b777oPD4cCuXbvw0EMP4d///d/xzDPPmHlFJu95VCv5JYsX6/+RNDGEVDKF119/AwCwdWtz8zPaezfHpYbRaBSRcARW1qqFFjcDIcZKbLIF1hjJXKtQV+QbdTZsVQaaUbg92RDlMq6GGoQFfJGF/HtBbqgaa6ih19suUOYQ9+/d15RxTqVAbVIIghRyZh4gqJLXvRn8atTFZO3flIxjE4BcR4jkg6Azpww5DnX2Va/MEFBMYAiSQCwagyAIte9QRDIbCaHOeBWHg9dCplzawksyIwMw57xMOgddIvaxsTEwTC7EjmVZbYjbxOS9iCzLmu5/0ZJFebbkc/vifa5w4MBrEHgBq1avQld39RypWvT6lSJlrrtSajbyixcbEhxrKZLniMzijl8x1pwNG8jySqVSCAaCoGiqaWlaq3C7lBmvah0voLTzYnkvFV7dSnG0bPky9PT2IBKJ4uiRt6vdtSqVArWLi1neugIg6zf4qYTb44aVtSKRSNT8PMuUC7K7OEpgnyHHoXatvDrCk1UoioLb5YIsy1VlseUgpDQSKaVb67A1VngBAOtQXF2TaWXe05zzMukUdP06X3nlldixYwduueUW3HLLLfjwhz+Myy67rNXHZmLSsUQjUcRjcdjsNnR1dWmrkwEdq5MmzaMOzTdjqqGidrxmpqcbWp3tFIYNmk9SKZ7vMnI1v1WoIcrxBizlVYfShQsXgqarqvBnDYfTAZIkkUgkqn5Wi63+6cxpEGJzNvudzsyMUnj1ZLtSBEFo54d9TZhsVArULi5mjY5XIAhCC4TXI4OWui4ouG1Nvg5CSlfYWz+5DC99joYqHl+DlvKJd5HhZJAkYGMIiJY+yGT9CivWqZzXE2ml21m8kGRiMlvo+nW5+eabcd111+H06dOQZRkDAwMlWRYmJu8ltG7X4kUgCELrmphSw9YzOTGJU4OnwLJWrD93vf47yjLY2MuwpN8Gb12OtOtCgLSCYRj4fF6EQmHMzITgz3Yv5xojBjsazrX5LgBwOtUsr/qlhqoxiVGFaysgSRIulxORSBSxaAy+rvJZbRLthWhZkCcVlWFJv2NIiHMnIooiQjPKXFB+B3z32b6jAAAgAElEQVTL1i148on/xuuvv4FkMtnQiES5QG1CSsOSKZSuGTnfpdLX58foyCiCgSCWLltadV/ZuRYy5QUpZp0EZQ5M4lDT0Q85K/n6rvm8Hg+GUL+zYSakLPg4WAIEQTTU7QIAxqV0rVMZpeNlznmZdApVC68HHngAX/jCF/DFL36x7FDld7/73ZYdmEn7OXrkKF55eTc+/ed/Bpu9vSenw28dwZG33sTHPvFxWK3GyTVahepouHixcpGW63iZUsNWs2d3Lrurns8Kk3gN9tDjABSnNzb2RyS9Hwbn2Ihevx+hUBjBQGAOF16lF4iNQgozpfMrdQ64zwYONcurAanhcJ5Us5Nxud2IRKKIRqMVCy8A4G1rCmb0mNTb87bwCofDEEUJHo8bFotF2+7r8mHVmlV45+g7eHX/AVz8/vfV/djlArUt6eOALGq3JbrXUPdKlbok7ASJjHMzbJFd2iZrfG/ThZcmNayz4+VtsOOVjigFbaPGGio2hxcgSE1qqM558XZjctZMTBqlauF1+eWXAwCuv/76kr+Zltnzi1QyhYd/9FMkEgmsO2cdtm4zJvBTL/+z839wavBdDCxd1vbnboRRrfBSLnLVwmsqOGVayrcQURSxb68yu6AOz+tCFmHPuyABAFKMwjn9HxBif0R/tw3HMHedDZPJJKaC06AtNPr7m59PKpYZCsxSgGTK79xBOB2NSw015zqDrPhbhRqiHK2U5ZWFs50FNvq8dluxlZcAovn5v05Dne/q6u4u+du27VvxztF3sHfP3roLr0qB2sU28q3odgH5GYP6zktK4fUMAKXYoLlhUNw4RGZBw8cQCddvrgFAU0XVFaIsS0hHld9W1Vij0QUfm80GmaCz5hoKlsygWXiZzDpVz8Br1iiZNo8++ii2bNlS8O/b3/52Ww7QpD3sfHqntkocmplp+/OrMpHBk3NDhz1SZNtts9vgcDrAcVzDFromtTly+AiikSj8fX4sW75M9/2Y5OsghfIB1zQ3jAHr6yCkFIITQ0YdalvRgn8XLQJF6c+7qUSpzLDz57uAxjteHMdhcmISJEli4aLOtl1X4ypqmRYI1oECWRUhJUFzc/PzXYvpaeU3q6entPBav2E9WBuLoVNDGB8bL/l7NcoGastSqY28vTWFl1rs6V0QkuiuEkmwNd5ciHQ4XF94skojIcoUH0AymQKgdLxk0gaJbqyTqKh2KCQzOUdLc87LpBOoWnjt3LkT11xzDZ577jls374d27Ztw7Zt27B161bTTn4eEQwG8cLzL2q3Q6FQW59fkiRNjjB4svMtX9PpNKaCU6BoCn39fdp2U27Yel55eTcAYPuF2/V3FWUJtsizVXfp76JAyDzCp/8IW3gnIGWaPdS2oga8GjKfJMtztvBqdMZrbHQMkiShr7+vwMG3E8l1vGq4xREUeHZ1wab56m5YbCWfD8MwOG+TIrHcW6fJRrlAbYofAyHmuo0yYYVg1b8IVA+q1DAYCECW5Rp7K2SchYoRa+IAIPMNPb8kSZqDZt1SQy1EWX/hRWdOIZ5S/p8OG6HIDBvs0LJstuOVzr1u6pyXiclsUvUTvWPHDvzqV7/Cbbfdht27d2PPnj3Ys2cP9u7di5/85CdtOkSTVvO73/wOoiBqQ8lq96ldRKNRLWdlYnwCiQZkQu1kbHQMsiyjv7+/wP3Mr/1Izk25WqcTCUdw5K0joCiyruwuJvUWKH4ybwuBmP8vwdlzxhz9XcqpcCIkwBbZBe/Y3WDiBxRp1hxANXsxwliD4ifLXFh2tvxOpVFXw+IOdifj9iiFV6yG1BAolcDN1zyv6enKhReQcz/dt3c/RFEsu085ygVqM8liN8MzAaI1LpgOhwM2uw3pdKZ6dlsenH1dgQsgIaXAJA839PyxaAySJMHhdNTt9KnOeNUjNaQzp5HIFkoOtnFjDQCw220ACCS4/IUUM8/LZPbR9U3avn077rrrLsRisYJVl7vuuqtlB2bSHk4cP4FDB1+HhbHg2j/7U3zvge9jps2FV3GhNzj4Ls5Zv66tx1APlS7StNVJ09mwJezLBqFu2LhBk1vVRJazMw85OMdG8LZV4G2rQKdPwBH6HXq9oyAIYDoigRdkWJCb/0p2XdXwgHe7GM7LGmqW4m6XwC5v2YWl0TgdWalhnYWXmkvZqcHJ+bhd+qSGAMDbVgMgoM78UNwYCCECmZ5frsRTU4qMuNyMFwAsXbYU/j4/ApMBHD1yFOvO0ff7Ui5Q25JurY18PgRBwO/34/Sp0wgGglq3s/qdaGQcm8DG/qBtssb3gHOcW/fzhyONORoCgMeTkxrqnXu2ZE4hnlIWu5w2silDHzVAubDwMue8TGYfXT3c22+/HcuWLcMHP/hB7NixQ/tnMreRJAm/fuw3AIDLr7gcy5YpcolQKKRb1mAEoVChFOHkic7WYWuOhiWFlyI1nDSlhoYjy3JOZliHqYYldRQUN5a3hUDKfal2S2BXItL/JWT8f4penwWyDARCuRVxmhuGe+IBOKd+BlJo74KEXjKZDAKTAVAUiYULGx+iV5mL+V0qascrkUhoXXQ95KSand/Zc2cvgmuFKAOATDkhWAcKtjHpxsOEO5UZdcarQuGVn+m1d7c+uWG5QG1CjIPODBfsx7GtK7yAfGdD/Qt6xXJDS/pEoUupTlSZYL0yQwBgWStYGwuBF5BMJmvuT4gJkEJQ63g5bSQEpvHvo1Z4ZQovc805L5PZRlfh1d/fj+uuuw6XXHJJwT+Tuc3+fa9ieGgYHo8bl11xKWx2G1gbCy7D6TpRGkU4O1Pm71N+YN4d7OyE+WJHQxVTatg6jh8/gangFDxeD9aepfNCR5ZhixZ1u+znQGSKXP8IEhnnVnQt2gCZZDBRpr5iEgfhHbu7I+e/RkdGFenrgv4CK+2GkEXQmcLv31wqvGiaBmtjIUkS0ml94bGCIGBsTCnOFy1u3oq/1ahdj1isduEFlHZkLMn5JTfkOA7RSBQURWrytnJs3roZBEngzTff0tURLReobUm9A7V7CAAiswgyraML1QSqs2FQj6V8FpFZUFJwW+P7637uRo01VHLOhrXnvOjMaQDQOl52VzdANh4to0bipDKFCzDmnJfJbKOr8Fq3bh3uvvtuPPvss3jxxRe1fyZzl0wmgyd++wQA4KNXfVTLQ/L5lFyYcKi+0MNmUDteW7ZtBkEQOH16CDzf2DBwqxFFEWPZH+RFiwov0nqyP5BTU1N1rbab1GZPttu1bfu2nLtYDejMCdCZQhe3lOeyivv3+PshEywGhQ+As59TuoOcm//qJJMCI4OTaW604KJEJh0QLc130dqJo05L+cmJSYiCiF5/r7ZK3sm4VVfDSEyXMoGzrSm4zaSPAbLQkmObDdRul6+rq+q5wev1Ys3aNRAFEQdePVDzcUfKyHeZNtnI51Ovs6FKxlFkshHfX/fMqmYl76m/4wXkG2zUnvOiM6cAAImsuYbV3dwiiMViAUVT4HkRacKf9xdzzstkdtF1BRMIBBAOh/HMM8/g6aef1v6ZzF2e3fUcIuEIlgwsxuatm7XtauHVzjkvteO1ZMki9C/ohyiIGDrdmbbHgckABEFAd093Scg0y1rh8bghCiJmZsGSf76SSqZw8OAhAMC2C7bqvp+9yMmQt62FyFT+Me/LXuAEZpKI934G0b5bIDKl1uKkGIUr+HCBAcVsYuR8El3OzXCO5T456nQ2nEvzXQBgtVrBMAw4jkMmU7v7KloWQaLyujIyB0u6s1UF9aAZa2TNoaqxbZty/tize0/NfUvmu2QRlvSxgn1aOd+l0ojUEAAyjnMBIjffRIoRWNLv1PUYasHk9TXW8fLWYSlvUTteWakh6xmotntNCILQFlIicuFjWTLz5/NvMvfQNTFdbKLB8zz+/u//viUHZNJ6wuEwnt2lXJRe/cmrC1YJfV1K4dXOLC/1pNzV1YUVK5djfGwcgycHsWLlirYdg17yc13K0dvnRyQSRTAwhZ6exvJHTArZv/9VCLyA1WtW6X5N6fS7JUVEynN51fvkrJuVQX11/sua2A97+CkQYt6FvCyASR5GxlVHiHOLMHI+qXS+q/O+g7VQDTb0drw0Y5I5MN8FKBeUbo8LU8FpRCNRsCxb6w7gbWtgje/TNllSR8HbVrX4SNtDNSv5Ys7ZcA5sdhuGh0YwOjpaolrIpzhQm86cLukGNzODpBd/b860SZIk3R1/kCwyjg0FEkNrfG9dxWK42Y6X6mwYqtHxkgUtY06VGlq9zZ97WJZFPBZHTFqAvryXzZzzMplNdH2DH3vsMbzvfe/DunXrcN5552Hz5s2I61hNPHbsGC6//HI8+uijAIA77rgDH/3oR3HDDTfghhtuwAsvvNDUwZs0xu9/+3twHIcNGzdg5ZmF8xtq4dXOjpfqatjd7cPyFcsBAIMnO3NFaqTCfJdKI3p8k+rszsvu0ostWtTtYlfWtCZW37vAZJ71fHb+K7zwDnD2QlcwJtWYRbORCIKAifFxEASBhVUuInUh87BkCiU4xWGsc4GcwYbOjtdQqXNdp+Ny6czyylJ8sT2fbOWn1MKrgrFGPhaLBZvO3wQA2Lt7X8X9ygVqF79mvG11W7rBNrsNLpcLPMfrMlTJJ+MsVAgwyaN1derDTXa81BmvSKR6x4viJrSssURKBggCNnfzQeZq3mxM6i16PnPOy2T20HXW+MUvfoFnnnkGGzduxGuvvYZ7770XGzdurHqfZDKJb3zjG9i+vfBi6ctf/jIeeeQRPPLII6ZBxywwdHoIe/fsA0VTuOoTHyv5e1dWatiuEGVBEBCNxkAQBDxeD1asUFa5Bk8OduScVK15Gr8mCzELLyMYHhrGyPAI7A471m9YX/sOAKjMCCypQue2Wt0uAOjq7gJFU4hEoiUSLplkS+bDLOnjs260MTY6BlGU4O/zg2UbH0QHssPtebM/EuWFRM+9rq2zjiwvSZIwOlrepbSTUbO89F6Ic+yZAEFpt0lhCiQ/P0yAVKmh3m741m3K7NOr+16FIJSfdSsXqF18TmnHfJdKr1/5v03mLwrpQGDOgGjpy9siwhp/Vff9I6qdfJMdr1ozXpbsfJcgykhlZICgwRowb2mzKd3gZIaEaMk3VTLnvExmD12Fl9VqhdVqBc/zkCQJl112GZ555pmq92EYBg899BD8fn/V/UzahyzL+M2vFPv491/yfm2FP5+c1LA9hVc0EoUsy3C7XaBpGr4uHzxeD5LJFCYn6vuRaTWyLFd0NFRRP++qXK3VTE5OIlLnKuhcYvcryizG5i3n63bsK3YyFKxLIVhry1ZIktQu3qaCpe+faOmHROfNkciCYlQwi+SCk43P71Lmu2pn73QaDqf+LK9gIAguw8Hn88KZvd9cQHU2jOoM1QXJgrcuK9jEpOaHrbwqNezSMeMFAGcsPQN9/X2IxWI4eqR85684q5EUQqD48bw9CPDs6sYPuk7UqJJgmfNSVQgCGefmgk1sYh+gw5Qlnc4gnUqDpmnYHfaa+5dDr6uhaqyRzM532ew2/ZLKKqgzXqlkskQ2bc55mcwWuj7Z55xzDh599FFcdNFF+MxnPoPbb7+9plUvTdNlteePPvoobrzxRtx2222mAUGbeeP1N3Di+Ek4HA78yYfK57BphVebOl7q86jPSxAEVnSo3DASjiCRSMDusFe0Le5tY8crHo/jn755N775D9/EO2/XNzQ9F+A4Dq/uV1Zn9coMKW4cTPKtgm0pz+W6C4jeXnVlucz7RxDgbGcXbLIkZ1duqMrkjCm8iue75p7MEACcDv3mGqqxxlyZ71Jxac6G+hddSmzl54ncUL2O0DPjBRRmeu2pkOlVbLhS/FoJ1qWQqcaKkUZoJqok49hU2O3kg1qhUw1VHuj1eXSFH5fDo5lrVO940ZxyPIl01kre4Wro+YrRCq90GoJ1ecHfzDkvk9lCl7nGHXfcAY7jwDAMtm7dinA4XCIh1MNVV10Fr9eLtWvX4sEHH8QDDzyAv/u7vyvYx+m0gqapCo/QXiiKhNfbvpNrK+F5Hr//3RMgSQKf/NOrsGBh+R8pp5MBSZGIRaNwuaygqNa+FxyXAkkS6Ovr1V7vc9avxaGDhzAyMgSv94qWPn89vDt4HCRJYNnyM+DzOcru47APgKRIhEMhOJ2Mlv/SCoZOD0ISRWREEd//tx/gs5+7HhdfclHdj9Opn/OX//gGMuk0VqxchrPP1lcEkEMvgSRzFwmybQCO/o26C6+BMxbjyOEjiMfDZV8Tgj4PZOKP2m0bdxQWj7XgwqYaRr/WExNjIEkCa9eubO5xxRTo4REg77Wz962H3dJ5n4ta9PV1gyQJcHxGe00qve7BwCRIksCqVcs78jtQiQX9PSBJAplMUv9x284DGfm9dtPKD4JykQBVw5yjAdp1TkkkEsik07DZWCxe7NddIFx2xcV48oknceTwEZCkqFn0q0yMjyvfq7POhNdrBxU+ASLvu0F3rW/r52XpssUgSQLh0HTF5638mttBxNeDiB7Strj51yD1n11m3xyjI2mQJIGenu6G/69uNwvaQiOVTMJht8DClFEt8GHQUgQgCSQzAAjA4+0x5PX1dXmyvwcC7H3rQM7k3kNSGIXXBaDBArpTfzfnO/Phddd1Vfi3f/u3Jduee+65ErfDWuQXa5deeinuvPPOkn3i8c4JJ/V67QiH2xck3Eqee+Y5TIwH0Nffh42bNlf9f7mcTkQiUZw+PY6uLn3yjUYZHZmAJMmwO5wQRQnhcBL9CxZDkmQcPXKso17/t98+CUmS4ff3Vz0ur9eLmekZDJ4c0TJYWsE72ePx+bwIhcJ46Ac/walTo/jIxz5cl0yjUz/nz+x6AZIkY/OWLbqOj+SD8IZehZQXcBqzfwB8RP8QtcvthSTJGDo9Vv455QXwgc0NZksJxCePQNDp/mfkay2KIk69O6R8Brp6m3pcS/IIXJKYe2yLH5GEBUDnfS5qQtCQJBmhmbD2mlR63U8cfxeSJKO7p68jvwOVoGgWkiRjKhjSf9yyE16yG6SgytUEJCbfAG9fZ/jxteucMnR6GJIkw+vzIVLH95wgGKxeuwaH3zyM5575Ay659BLtb4Ig4HT2cT3eboRDEXRF3y7ITItgJcQ2fl4cDg8kScbo6ETF17Xaa25hNsElHcxtCB1AxHElZLLyHNXo6KT229zMe+lyOhEKhXH69Dh6ekvn8JjEUTgl5bWNJiTIoGCxsoZ8fgiCgiTJmJmOIByn4KH6QPET2b/KSEweAW8/q6HH7tTfzflO8eve22tMd7Sd6Lo627Fjh/bvsssug9frLTsfVItbb71Va+Hv3bsXZ545N6Usc414PI6nn9oJAPjENR+v2cXyZbXy7ZjzUqWG3qypBwAsXLQQLGvF9NS0ruDFdqHOd9VyP1Plaq2WG6pzCFd+9Epc9+lrQZIkdu3chZ/86GFwHNfS5241gUAQJ46dAMMwOO/883TdxxZ5DsgrukRLP3hbfT+q2ntXTmoIAARdxiFuduSGkxOTEHglU05172qU4vkugV1ZYc/Ox6HTXEOWZe33aGCOSQ01cw2droYAslLZwrmkue5uWE+GVzGqyUax3FAN1O7p7YHNZlMkaXLufCpRniKjhtajFixTU1MNmU7x7CpIVJ48XubAJA5VvgPyMry8jRlrqHhUS/lI+d9yOpvfBWSlhgTV9PlMRZMappTRGHPOy6QT0NXxKnYfvPzyy3HzzTdXvc9bb72Fu+++G6Ojo6BpGjt37sT111+PL33pS7DZbLDb7XV3zEwa46knn0IqmcKatWtw1tm1L0S7fD6cwqm2zHmFQoqO3Jc3M0WSJJYuW4a3j76NkycHcd6m6g6a7WJ0pHqGl4q/rw/vvH2s7sDLetGMFRYvxuIli9HV3Y0f/fBHOHjgIEKhEP7yr27WZkHmGnteUSzkN27aqP14VoMUZmBNvFawLeW5rG67574+xQEsGKz83nG2s8HkPReTPIKk96NtN6Iw1lhjfsx3Abkcr1rmGtPT00glU3C5XFohM1fwZM01YvUUXgB421lgYy9rty2ptxWjhTloogLkjDXKdVJqcc76c2B32DE6MoqR4RHte1RcjBfPd/G2tW1/vaxWKzxeDyLhCGamZ+r//xIkMs7NsEV25R4zvg8ZV+WRES3Dy9uYlbyKWrhFKhhsqPNdQNZKHhQcDZp5FGOzq4WX0g0VrMuB/M+/OedlMgvoKrxefPHFgtuBQEA7OVVi3bp1eOSRR0q279hR3tTBpDVMjE/gjy+9DIIk8IlrPq5LA99OZ8Owaq6R1/ECgOUrl+Pto29j8OTJjii8UskUpoLToGm6pnxQ7Zo0Mgitl3Q6g2BgChRNoX+Bsvq69qw1uO0rX8IPvvcgTg2ewr3f/g5u+d9/pf19riCKIvbuUTJ2LtBpqmGLvgAgJ5WT6B5w9g11P7fb44aFsSAeiyOVTGk/3PlwttXKTJesPB8pTIHiJyEy7X2djcqfIsR4qWObDhfITkV1YEsmk1UDZ0dUY5KBxQ2bB8wWTpdSXMZi8bpCdXl2OUAwWgeHFCOg+HGITPOZSbPB9HTWWENHhlcxNE3j/M2b8NILf8DePXtzhVd+oLYsl7g/ttNGPh+/349IOIJgMNhQoakUXs9AVQXQ3DAobqzie69leHmaLbyyzoblQpQlHjQ3qt2Mp2XIBAW7o/wMdb3YbMq5QC28eLbQYEPN86omuTQxMRpdZ+uf//zn+OlPf4qHH34YO3fuxPHjx3HPPfe0+thMDODxXz8OSZJwwYUXaEGQtVCLoHaEKOc6XoWFV6c5G46OjQEAFixcUNMwo9ff+hDl8bExyLKM/v6+guNZuGghvnz7lzGwdADTU9P4zj3/POccD48cPoJoJAp/nx/Lli+ruT8hRGGNF4ahNtLtApRuqxakXOn9I1nFaj2P2ZAbjqiOfBUy5fRSLDMUmYVtdWwzGoqiYLPbIMsyksnKMxjFznVzCZqm4XA4IEmSLtt8DcJS5rM7d+WGmtRQp6NhMVu3Ke6G+/MyvfIXNEghCFKYzt2BoEpev3bR24SzIQBIdFdJJ9saL+/qCORJDSs4+OqlWogyzY1oC1gAEMtYAZBwGFV42XN28gAgUy4zz8tk1ql6ZcJxHO644w6cOnUKdrsddrsdr732GmKxGFatWgUA2LlzZ1sO1KR+jh55G4ffOgKWteLKj3xI9/3aZSnP8zzisTgoiiyRxJ2x9AyQJImRkdGa0QXtQMt1qSEzBBSpIYCWSg1zx1N60ejxuPF/bvsiNmzcgFQyhe898D0tD2su8MofXwGgWMjr6UTYYi8UBv/SXmQcjXdJNevmGnLDfNptKy9JkvYZWDLQXOFQmt81d2WGKg7NUr5yUTIyrM5szq35LpWG5rxQ2rGZy7by01OKUYjeDK9ilgwswYKFC5CIJ3D4rcMlgdrFRSlvXQGQzQWVN4paeJWNutBJxrml4LY18Rog82X31SM1JIQoLKljIMTKeXLVQpSLbe1jnPK9dRg246U4dqozXoA552Uy+1QtvL7zne9g9erV2LlzJ+6//3488MADePrpp7F69WptPusHP/hBWw7UpD5EUdTCkj/4oR1a4KYe1O5Tq6WG6ond7fGUSGWsVisWDyyGLMk4fep0ubu3leJAzWp0dflAkiTCoXDLTC5GRnIXB+VgGAaf+38+i8uuuAyiKOHnj/wcv3v8iYYGs9tJJBzBkcNHQVEktm7dUnN/QoyDjRUWlSn3pQDRuI2/lsU2qb/workhEEL7gqynp6eRTmfg8bjr+m6XYz4WXqoUL14hy0uW5TxJ2dzreAGAy5XN8qp7zquw8KIzp0GIdXTNOgRJkvKkhvVL74DSTK/iQO2y812zhJ4FoVpw9nWQyVxRQ0ipktxDQHltY1GlmPKUkxrKPGzhp+Eb+yZcgQfhG/kHuMe/C1t4p2KWIed+Z9T7q+qWfPKNNQAgnmEAoOHA5mJy5ho5x8viPC8m+TqoPLmjiUmrqVp47d+/H5/97GdLtt900004cOAArrvuOmzatKllB2fSOHte2YPxsXF0dXfhkg+8v677tqvjVc5YIx9VbnjyxOyvSI3WKHTyoWkaXd1dkGUZU8Gpmvs3wogOow+SJPHxq6+aU46He/fshSRJWLf+HF3GIGzsD0WOY25knJubOoZevzLDV82VUqY9EJnCTgmTOtLU89bD8Gljgn9JYSbPXhyKlMq6tKnH7AScNTpe0UgUsVgMNrutofmgTkDreNURogwoHWHRsiBviwxLem7JkQGl4BQFEU6XEyzbeBfq/C3ngyRJHHnrCA4fVr7DiweWgJDSsBTJ0GZrvgtQZryAJmeHCVoJVM6jnNwwFo1BkiQ4Xc4SaT2dPgHv2L3KvJgmE5RBc8OwRXbBPXE/fCN3wjn1MzDxA/C5lWIqUuxqKMuw5BlrAEA8ozguG+9qmCu8iue8SCEEz/i/wDH9qzm5AGEy96haeFUb2CUIAl/96lfxta99zfCDMmmOVCqFJ5/4bwDAVR//GCyWMqGFVXA4HLAwFqSSqYITltGEy1jJ57N8hSIJOHlidp2HBEHA+LhiPqB3Tq4va8DRzOpkJURRxNioMnNWTmpYzIXvuxC3fP4WsDYWBw8cxP3ffUBbzewkZFnWJJHbL9hWc39CSoKN/bFgW9p9CUDU93kvRu/KMmcv7Hq1c85reNgYY41iVy+BGZg1KZWROJxZZ8NE+QupIbXbtWTuGWuoqJ3OaKz+7zJvW1Nwey7OeamOhs0Wzm63G2edvRaSJGFnNnZlyZLFWafPfMOeXkiWxjprRtDT2wOCJDA9Pa3NozVCsdzQkj4Bkp8u2KbJDPO6XYSYhGP6l3BPfr9wsaYMhJQEkzgI5/R/YGn8fhBSAtHQBMjUu1o3jBSmQYh5HWmCQTyp/L+MmvGyWq0gCAKZdAaiqLyXMuUqk7sow8vg3a0AACAASURBVBrfDe/Y3bDGXino2JmYGE3Vwqu7uxt795auhrz00ktwOp3YuHH23eZMStm1cxdisRiWLV+GjQ04AhIEockNw2XkAUZRyVhDZfkKxVjh1KlT2klzNpiczOW6sCyr6z7NDkJXIxAIQOAFdHV3lXXdK4fqeNjV3aU5Hk6MT9S+Yxs5fvwEpoJT8Hg9WHtW7ZVlNvoyCCkXuC6TDqSdW5s+jvz3Lj80tZiSOa/0cUBqTwB8zhiiWWON+WMjn49TzfKqUHipHeO5Ot8FQOsI19vxAgCuKN/Oknpnzl1sNpPhVcy27EJPMqGYMCxesgSWog72bHa7AEVJ4fP5IEuy9n9vBJFZAME6ULDNmthfcLvAWEOWwSQOwjv+LVjjhfsBgExUX6hhLICTlSDxaRDv5rphihNtDt46oL3+RkkNSZIEm53zyp8Vj/VcXzbjkZCScMz8Gp6JfzFNN0xaRtVBiK9//eu49dZbsXTpUqxdq6wIvfnmmxgcHMQPf/jDdh2jSR1MT0/j+WdfAABc/clPNLya6+vyITAZwMxMCAsWLqh9hwbIWcmXlxq63W709PZgKjiF0ZFRDJwxUHa/VqMO4deTl6Q54zUxCF0JTfaow+gjH9Xx8MHvP4ihU0P4zj3/jL+4+XPYuq0zFlB2v6xkd22/YFtte2wpo8gM80i7LzakW+NyucCyVqSSKcTjcW2WphjR0g+J7gIpKHMmkAUw6XfA2dc3fQzVkGW5wAq9iQcCPQ/nu4C8jleFGa+RbMerWWOS2UTN8qp3xgsABOsAZNIGQlIUDYSUBM0NQZhDMtOpYHOOhvmcve5sOBwOrUO6ZMlCMIlfFezD2We38AIUueHM9AwCk0Etc7ARMs6toDND2m1rfD9SniuUmAzkOl5elxWu4A+Vwrzs42xH0nclIPNgUu/AknoblvQx7XOl0uUikUiJCMUkeBxKN6zksSwDSGU7r3qyG/Vis9kU9U4ypXXSZMqFmP9zsKSOwjHz25IOHsWNwT35r+Ac5yHh/Qhkem7l/Jl0NlWvbhYvXoxf//rXuOaaa8CyLFiWxbXXXosnn3wSixbVd9Fn0h6eePwJCIKA87ecj6XLljb8OF2+1s951ep4AcCKlYokYDZt5etxNFTxt1BqqBaCi3TIDIsp53j46v7Xat+xxSSTSRw6eAgAsHV77a4VG98NQspZhcukDWnXBYYcC0EQ2pxX1Y4lQZRxN2z9nFc4FEYikYDdYa/63akFJQRAinkX7QQDwTp3O0D5qDNe8QozXsNVXEHnCuqMV0OyYYICz64u2DTX3A1npo2RGgLZTK8tyuyTy+VClz1R4NQnE1YI1trRFq3G32dMVEnGvkHJc8tCipGC4iocDoGQM1hAHChbdImWPkT7Po9E9zWQSRvk7GxtvPcGhBbfiWjf55HyXAaRUX4zfS7lUjMUq9xVjcsLIMsybHYbKIpq6v+XT7k5LxXethbhhX+NpPfKgtdDhUm8Bu/Y3WAjzxc455qYNEPNoBuCIHDRRRfhxhtvxE033YSLL75Yd1ijSXuRJAlvvPEmAOCjH/tIU4+VC1Geafq4KqG6JlbLCdEMNmax8FI7TNWMLIpppdRQk0k1uFqvOh5eevmlEEUJD//4Zy2d5dPDq/tehcALWL1mFXp6asxRSDxs0cJQ97TrIkNDMPW+f6VzXkcKcmlaQX7+VDPzSaXdrmVNuUF2Eg6naq5R2vGKx+MIzYTAMEzNMPROxt1Exwsolc7NtTkvVW7XSJhwOS5834VgGAZnn3MWrEWhybztzI74bqhKiqYX9EgWGUdhwLw1oWQhUpkRpMdeAiFl4HMVSa0JCinPDkQW3AaBrVCIEhQEdhlS3g8hsuA2hBb/HZy9ayETNGbiFQoqgkJUUApoo4w1VFQ5fsVMP4JG2nMpQgu/Cq5MDAkhZ2APPwnv+L0VO38mJvVgVlDziMnJSfAcj67uroZzTVRyhVfrOl45qWHlVfvl2cLr3ZODVedtWoUsyw3Ng/h8PlA0hUgkamgOmSzLWgeunkKwGNXxcNnyZYhGotpQ+WyhmWpcuL3mvtbEvsLcGIJB2nWRocejXpBXczYEAMG6rKDgI6RkSTaN0Wjdmmbnu1Lzc74LAJxZqWG5Ga/8789cXkRstvDibasB5Ap3ihsDIZRmLXUqqrlGs791KgsWLMA/3vUNXPfp62BJd46NfD6a42qVqAu9ZIrmYZnk0ex803cRCiufKbVTBSg27OEFX0HKe0VdRahMueH0r4FM2jFKXlrSDQMIJD1/gnhS6YYZXnhlO161fodl2oN4z58j2ve/ilw/FUg+CFfgIbgCPy4xIzExqYe5+6tjUoI697GkSYtpIC/Lq0VSw0wmg2QyBZqmtcydcvj7/HA4HIhEotoPbTsJzYSQSqbgdDk1aY8eSJLMW500zlI+EokgEU/AbrfB5/WCzpwCxTVmkkEQBD75p9cABIEXnn8Rk5OT9d1fTIBOnwSk8gGcehkeGsbI8AjsDjvWb6gxHyULsEWeK9iUdl0AmTLGBUvFr/e9I6iSizKmxWHK6nzSQDPfc1mCJVPoaMizK5s5rI5C7XjFY6UdL6OCp2cbm90GiqaQSqbA8/V/B2XKWWKyMFe6XoIgIByOgCCJpuS2xdjsNtBIgc4MF2zn2M4ovIySGgKAwJwB0ZI/JyYqjn6QNUmgz0VCJm1IdH8K0b5bIFka6xB7vYqqJRyOFnbDlnwDocV3Iu35gNaRMspYQ8VeRWpYDoFdgciCLyHR9YmyKgpL6jC8498GOfl7QOrcaBaTzsUsvOYRqgSpXtOFcvi6lFXEcqGHRqC6JXp93qpyKYIgsHzl7MkN8/Oy6pV1aXI1Aw028lfr3VMPwz3xADzj98Ax8+uGJG4DZwzg4vdfCFEQ8ev/+o3u+1lje+Ab/Qbck9+Db+z/gkkcAhrsSL6SNdXYvOX8qtEHhBCBc+o/QIp5q/IEjZT74oaetxq5EOXa713xnBeTOtzwa6GHXPBv44UXxY0WDMDLpB2iRV9UwlxAHaIvZyc/rBlrzO15NpIkNeOXRuMhihcNLEUSu04lFApBlmV4vd6SnKlmUeRkue+vyCzqGHOFrq4uUBSJUCjcfB4jQZRYy6uE4krh5fJvQHjh7Up3jGj8ctHrVWzpVbdEFWU+TPmuqoWXw+COl+pqmEzWIacnKGRcFyK88KvZzmDRb78sgAw8BXfgB3PODdRk9jELr3mEarpgxAWFeqIMh8OQJONPLJprUpX5LpXlyxUt+eDJ9ud5aY6GDQzhq3lQteRq9aDOmy3rjsKSlxtljb0CV/BHIKT6ZY2f/NNPwGa34cjhI3jrzbeq7yxLsId+D8fMY9qwMSHG4Jx6FK7gj0EK9XVIOY7DgVcPAKgiM5R42MK74Bu7G0zy9YI/pZ1bIVPGXxT15mV51ZK4crbVmhsYoOTTUHxrrPqj0SgikShY1oqeJtzcLCXzXSuburDqNOx2OwiCQCqZKsk8mg/GGirNz3kV5Xmlj80JEwEjHQ2LKQ5Cn20b+XwoitL+z1MGKCkyjk0F5y4ASGUkpDmAsrogDdxkyPlV7XiVhCjnkbOSN1a9YMsWculU/b+NMuVEovtTiPR/EYL1jJK/05nToDOm7bxJfcyfX9r3OJIk5TpeBmTTMAwDl8sFURBbErarShh93tqFV87ZsP0nOLXjtXhJ/V1EzRnPQKnhyMgoCJnDcl/phb0l9Q7cE/9ad/Hj8bjxoSv/BADw68d+UzmcU+LgnHoUbFH+Su75j8A79m2w0T/oXgU8dPAQUskUBpYOlDqlyjKYxCF4x+6GLbITkAtXeGXShrT7A7qep14cDgccDge4DFc7J4lkS+ajii/ejCLX8Vzc1HxSaX7X/JEZAko3SJ0VyR+qT6VSCAaCoGgK/Qv6Z+vwDMPdRJYXAIiWRZDyL6xlDpb07BkZ6WXaQEfDAmQRlvSxgk2dMt+los15GWDcJFNOZByb87YQmJDPh0Q64fH1GhYu7slbyK2E2p12GCw1zLkaVjDX0IFoXZJ1cbwWMlU4GkFzI00dn8l7D7PwmidMT08jnUrD43HDU8csUjVUg42ZFjgb5hwNa+vzlwwsAW2hMTE+gUQFe+hW0YijoUpvKzpep4+DkNI4o7+8vIbix+GZuA9U0YxCLd73/vehr78PwUAQLzz3QsnfCTEK9+T3wSTfqP5AMgd76LfwTNwPihut+byqqcYFFxR2u6jMENyT/wrn1KMgxdIfa9HSj6j/LyHRtQv3Runt0//+ldrKt2bOa9iI+SRZgKVolXa+FV5AvrNh7pwxOjoGAFi4cKHhErXZwNVkxwsEAb6o6zUXbOXVeV+jO1505nSRBNcBgeksSaphzoZZEr6rkPReibTrfYgs+BIm5E0ACE31YgQOhwM0TSOVTCGTKR8yr814GSw1tGddDVP1SA3LQZDIODcj5b60YDOt43fOxCQfs/CaJwyrgap1hPzWopXOhrkMr9oXzjRNY+lSpc0/ONi+rlcymcTM9AwsjKWhsEq/NuNlzA8kF3kX04FxUBSwsFuRh8gkm+cOpUCIMXgm/w2WZA3ZYB40TeOaT10DAHj6qZ0FWnyKm4Bn4n7Q3FDBfWTKhXjP9WVDVyluGJ7x78IeqjyAHAgEceLYCTAMg/POP085diECx9Qv4Jm4r6w7oEzakei6GpEFt0FsceaUv46V5eLCi+aGQAgNXgxXQTXWaKarTWdOA3LOjEGiPJDo3qaPrdNwqgYbeZby8yE4OZ+c1LBxVUKJOcwcKLzUDK8egztexf933ra64yS4fqNnh0kL0p5Lkey6CiKzCOHsud/jMa7wIghC63oVz3mpJLJSQ4fBUkOWzdrJGxSZIhT93upZYDQxyaezzigmDTNioMxQRXWLmmmBs6FqJa+n4wUAy5YrBhvtDFIeyXa7Fi5c2JCsy+PxgGEYJBKJyhkiOiGEKMKHfwgAWNJLg6YIACTiPTcg0vd5cPZ1hXeQebiCD4ONvqjb6GHtWWtwzoZzkEln8MRvnwAAWFLH4J58oES+KFr6Een/IjjHuYj2/W8kuq4p4wAlgY2+AO/4PWXzT/a8ophqbNy0ETYrrc1xWROvljk6Cmn3xQgv+ltkXBeUzCW0gt5sPpCeLDaZdpesjDMp47teuWiDxguH0vmuMwGDJEWdhCNrKa9e0AHza74LyJMaNtrxAsCxZxbNKE6B5I3PHzSSqenWdLyKzUU6ab5LJRd10Zr3KFLH/HU91JIb5lwNDZ7xypprNDLjVQ6RKTQhovgAIJXv4pmYlMMsvOYJrbBIVrtRrex4dXXpK7xWrFQLr/YZbIw2mZdFEAR6/crFux53vIpIHNzBH2N4XHnNBvqUi6RE11XKiizJIN5zI9LuS4ruKMMeeqIux8NPXPNxUDSFvXv2YfStJ+AK/LDEsINnVyHa/wVIdPa9I0hkXNsRXnA7OHupHTwpzMAVeAjOqZ+DEJXugyAI2LtHCey8+LzuinNcAMDbzkJ44V8j6fuYoSHJtVA7Xnqtm/mSMGVjC69kMomp4DRoC42+/vo7sCrF810Cu6LZQ+tInI7SEOX54mio0qy5BgBlRtFaGIbLdLi74XTQ+BkvUgiB4sfzthDg2dWGPb5RGC01LEY1wDCy4wXkGWxU7Hi1Zsar3KxnM8ikDRKdH9otg26RmZLJ/MQsvOYBsiznZj+M7Hhli6JwSzte+lbVli1fBoIgcPr0UEOZNY2gznc1Y8+vGWw0ujopS3BO/wIUN4zTE4rpxRl9NNKuC5FxXZjbjyCR9H0Eia5rUPy1tsZ363Y87O3txaWXfQCEnMZjj/0WklRYsGWc2xDz/wVkki09VNqNeO+NiPV+FhJV+qPNJF6Dd+xbsMb348hbRxCNhLDQJ2CDc1fFOa6Y/y8R838OkqX9UrjeOleWS+a80seBBlwmK6EZayxaBIpqsOMnZUoyiuZTcHI+jqIQZY7jMDkxCZIksXDR/LDOV7MFY80UXihnK9+5csN0Oo1EIgGapuHKdvyMoPj/LFiXQqaMLQKMwOtTLPSjkWjNUOBGUKNePDqMr+pBy/Kq4GyouRq2KEBZb46XHkrlhqbBhol+zMJrHhAJRxCPxWF32LViyQhaFaKcSqaQTmfAMIzuk6zdbseChQsgCiKGTg/VvoMBaLKkarIuKQNL6lh2bqZU0qdZyje4OmmL7NQMLU4HlCJo0RkrkPR9rOz+Gdf2bGFkLdiu2/FQ4nD1+VPw2QUMjgn445uqhILIFXY1ZH68/WyEF96OtOt9KM4/IaQkHNO/xKvP/hCkmMAlG1DinJU/x8XbVlU/3haiSg2nglO6IhVESz8kOm8FXhYVe26DGB5qvqttyQwCyBXTEt3bUoOS2SRnrqF0vMZGxyBJEvr6+8AwzGwemmEYMeMFlErqLJmTHSufms6TGTbj7FlMcZev2Gq/UyBJMhd30QK5oVoYGWmuAeRJDStkg7YqQLk1hVfhOdh0NjSpB7PwmgfkgpMXG2b/CuRClGcMlhqG8rpd9Rzv8hXZPK82GGwIgoDJiQkQBIEFCwtXx0lhBtbYy3AFHkLXyP8HV+BBuCfuh3vy30BlCk/AzYQoW+P7YYs8qxyPKGM4IAAECd9Zn6ta/PC21Yj2faHkgjrneFj+R0JxLvwe3OIRXHeZ8uP3n88nkeQoxHo/o0gZ9b5fJItk11WI9t8K0bKg4E+hmIQ3jkVBkcBF5+R3zto/x1UNlmXh9rghCELFi4UCCKKl7oZGxEWUze+ap+TMNZSOV06OPT9khgC0jk80Eq2ZN1cNpQDPk0/JYokkVS/hUBhjY+O1d2wQzdGwWZmhLIPixsFGnoV74oGSjhdvO6u5x28h9cyf1kske67zGt3xykoXy2V5ybLcso6XGqCcTqcNyyQtnvOiuTFDHtfkvYFZeM0Dcivhxl5QuFxOUDSFRDwBjivvTNcI9Tga5rN8RXbO60Tr57zGxycgihJ6/b1grTTo9CDsod/DM3YPvKP/F46Z3yiGEXlho3TmXXgmvgvH1C81R7t6nPHyodMnlZDiLGPTIkSJQLd/MVhH7ddNZBYg0v9FiEWGD5UcD3POhcrF/QVnW7FyMY1IUsYvD54Fvti8QyeCdQCRBf8HSe+HAYJGhpfx0O9jkGVg45kMPA7lFDRbc1y1qDcEmyuZ8zqqe76uFpr0tSljjfmd35WPw5E118gWXrkFqsalw52G1WoFy1ohCEJz5gEEoQSB59GIu6Esy7j/u/fjzq9/E7GY8fmPQJNW8hIPS/IIHNO/gnf0m/CM3wt7+Kmsg2qucJUoD0RL5+a85bK8jIsqAQBRFBHNvm9ug2JpVNSxgkgZc410SimKrKzV8JgHiqJgZa2QJbmilX29lEgN+Yk5ETxu0hmYhdc8QL2gMNoimSTJlsgN63U0VFmxQg1SHjRs5aoSY0ODIGQeS3uS8I3cCffkv4GNvqCcYKsiw5rYD9/YP8EWeRa9vcr/MRgM6l6RJvkpuIIPF1ywD03KkEg7Fi05Q/f/QabciPT9rzKOh1yB4yERO1riXEgQBP78yjMgU048/9JBTE5O6n7eEggaac8HMO79Ar71XyLeHOThshP45Pvtsz7HVQt1kF1v4SxYl0Imcyu2hJQEnWm+QytJkjZM30i0AQAQYgJUwcosMa8LL63jlVCkhq1aoJptms7yylLc4bGk3tbtiKoyMzODwGQQmUymZQ60U9nCq6u7S9f+pBCGNfYKXIF/R9fI/wtX8EewxneXnStVyTi3dLTTp7+vvvOSXmKxGGRJhsvlMrwAUqWGoTLqgURSWRwxutulwrJK18souaFMOSFb8q5fZFHHtYGJiYJZeM0DRlpgrKHSiiwv1U623o6Xr8sHr8+LZDKFyYkmCoFyaLKT5+D+/9l77zBJ7vr+812hq3OcHHZ3wiaFlbQrbZQWIWkloqRFAX7ICIRlgwQynPFh8/zu/Dv77PMdPvMzJglbBnyAAYMSQQSBkFDaoA1aabXaNLNpcuicK90f1VXd1WGmQ3VP98z39Tx6tFNTVV3T09Ndn+/n/Xm/p76OuRM/BCUlMNQW1AVqFj00L8le2ZiGNfgr9Ie/DpuFQjKRRDQSLdwvD0qKwzX7LVCS3oHpTGQjAKZyh8VFHA+ds/8O5vw3ijgXbkDbls9jx65dEEUJT/7kqcoeN49YNIavPPojnLwoweVtx18+dBPcGz+y5HNci6EabJQt6aGYgnkZzgC5od/vhyiIcLtdsFjMix9QhHyZocj1QmaMtW5uJjQ7+WgMgiBgYkIpOqt1KW1W1DmvUK2Fl2UIoLKzb7QYAsNXJqE6lyMDHzlbn8Jr0QwvWQKbOg9r4JdwT3wJnvG/h93/pCIlXKQrIXK9iHvfj4T7FqMv21Dq5WyYNdYwdr4LyLokRsKRgoXTeskMVdTzGjnnBYv+fosEKRPKxdglDULDiYQjCAaCMFvMaO9oX/yAUsg87P6fgeEnwFsvR8K5G6C5bMfLwMJLXfFSO140PwNb6Hdg5gLgrDuRtm8pehxFURgaGsSRw0cxOjKKnt6eovtViil+AvbA06AFv7btwrTyAb26q9ifCA3BPIC09TLw1ssgmrpgSp6GLfAzMLy+IGTEIHpcMYzGZcyNH4fTtbP0hcgCHLPfLcjQSbjfhYvTSg5WXzX5QxnHQ5FtV6zlkf3QMyVOAbR+ZTfl2ImYby9AMbj9jvfj9aOv48RbJ3D8zeO4clPlksNQKIyvf+XrmJyYRFt7Gx757Kfham+HceLV+qGFlVYg6eFtV8AcO6x9zSXeQly+o6YV9NmZOQDZQrAaVtJ8F5DteMWiUUyMT0IURHR0dmjD9ssFVRIWDtUY2E2ZwFvWwpQ4oW3iEieR4MovVHMLr3Oj9Sm85ueV9+m2/M87WYY19FtYIi8XLFyVhDKBt6zT3stbxWhGi7qYNrbwCtXJWAOA4kLpdCISiSASjuiKO9VYw+jwZBU1yythUJYXAMjWfiB0TPuaTY+jOe1oCM0GKbxaHDVQta+/ryaHJ1vwNzBHlUBbNnUB5sg+xL3v07pSRoYoq0Wcz22DLfBzWMIvAxBB0RQcsXOI0I6SXZDhtcM4cvgoRkZGcf3u64vuUwmmxGk4Z7+t2yZJMi5OZ63bAcVpj7duRNp6OXjrep2cDFAMLUKWz8Ec3Q9b8De6D/5uH4NzkynEzvwA9o6LiHveA5nN08/LsjI3lndznLZvQdx1C8bGFJONWuSkKecOSKwXjrnvgirqWKY4Fyad79CKBKfLife899148vGn8MRPnsTGyzZWJEHx+/346pe/hrnZOXR1d+GRz37a8KHtelKp1BAA0pYNAMVqq+u04AfDT0Hkql8oUAs/tRCshpU03wUo8iKappFMpnD2jDIXWkvwdLPidNYeoqyStl6mK7xM8eMVdX9GR7KF16WLl5BOpw11kJRlWZvxyu94cfE3YA09u+g5JNYD3nq5UmyZ1wK0ybDraxQutwtmixmxWAyxWMywgkXN2DLaSl7F7XEjEokgGAzqC69YfRwNVaxqxytuXMdLtq7WefYypONFKBMiNWxxsjLDGm4opKRWdKnQYhCOuf9EL3MIgGis1DAQACXzWM3/RJkzgt58wD7/I1Bi8RVLzWDDgPkBSozDPv+jgu1zIQmJlAy3k4Ol9xaEuz6NQP/fINp+H9L2awqKruwJGaSc1yPY94WMlbriytftU/4/5Rd081+Qs3lklsgfYI4e0J1OMA8g2vZBBIJBxGNx2B32mkMtSzkegjJlnAtvLOjM7L5xN7q6uzA3O4cXfv9C2Y81MzOLL3/pXzA3O4e+/j589nOfaamiC4DWRfbPz0MQyhyeps0F2Vi1himrQ/RqIVgptBAELczlbGHAm4dquqZmh6Zp7Yb0+HHFKKJ/mc13AQZ2vFCY58WmL5V0Qc0nmUxhYnwCNE2ju6cLoijh/PkLNV9TLtFIFOl0GlabFVabvnNpyfsMy0JBMA8g7nkvQj1/gWDv/4aY7y7lZ23BogtQ1B/t7cY7Gwa1wsv4jheQ7aTlhyir4cn1n/EyJkQZAGRrvtRwwjAjJcLyhhReLY4Rwcnm2OESHRCg0+oHLcYQmToGSigefFgJdOoSQnMXQUkJtDmKrz7RYhh2/xNFB7t7+3phsZgxPzdf8OZdEbIMu/8J0GLuzQoF3noZTsW3QWIc6B7cjLj3fRAsgwBV/p+KTNsQ992JYO9fgLdehi6fcuyUP/OmnJn/8kz8I7jYMZjix2ELPKM7h8T6EOl4AKBYXZCzEXEBquOhYFHMSmSuA6GuT5V0LmRZFvd88G4AwK9/9Zuynvfx8XF8+UtfRsAfwMDQAD7755/RVuZbCY7j4PV5IYpSRbEKRtvKq1JDVWJUKfndLsG8CqCrmxVrJdQsrxNvKYXXcux4qTNeRrgISqwHvEWvNrBEXinr2IsXLkCSJPT19+HKTcrr/5zBBhtzc8rfQb6VPM3Pgc1XC9iuRrT9PgT6/wbh7keQdN+sdJ2b2DSjEroqnT8tg6zUsF4dr0yIcp6zYVZqWN8Zr5qcP/Nh3fr5bpkHwxtv709YfpDCq8W5dDFjkVytBE2WF/xgbXMrL5GAfx7eiS/CGnwWkCqfzqHEGOzzj4MZ/TJ4nofVTMFmznn5UXo5Chc/Bi52pOA8NE1jYFDJ8xqp4UOdix0BFz+m25Zw34xI54M4P+8CQNdsOy2ZOhHpfBCutfcCFJ0tvDLQQgCOue8pDoY5VsYybUGk44+1N/WxcoKcK0RmXAh3PoRA//8Bcf1fQzQvXLhvvGwjNl29CalkCj/76c8X3PfC+Qv4yj9/FZFwBOs3rMen/+zTBavTrYQ2yF7BnFc6zyGOTV/SIgaqQet4dVXX8cq/Kc3vyC1X1DkvVWJk5N9Qs+DKyfIygqRTL+E2x4+CEmOLHqfOdw0ODWL9BkXGWst7dDG0+a48+XQ1eQAAIABJREFUK3lz7DXd14J5DaId9yNt37JsDWTUjMgZAw02glqGV306XlqIcl7hFauzuYY646UWeIZAUYW28kRuSCgDUni1MIl4AnOzc2BZtmqLaVPyDBg+94aSQbjrYfCZFfs2lyKTmw+JkKUUrKFnM52ao+VZDcsSzJFX4Zn4f2CO7oc/ohQfPlfmpUcxSLhvQaD/ryHnuQTZA0/pDC9UhtaqcsPq8rxowQ974EndNpHrQ8J9K4CcQqcaI4si+FZtg0Q7MBWyQkSxAiT3eaQRbf8oRC6bITOW6XgZ7sZGUZAZZ9lBxR+4ey8YlsHB/Qdx/tz5ovucPXMWX/uXryEei+PKTVfgoU9/smoXvmZBtW6uZGVZZl0QuNW6bVzieIm9F0YQBPjn/Tp5UUXI8oqb71JRnQ0BxRXV4SjiQNriuAyyk1dRTCZyrNplAebowUWPUwuvoeFBrFu/VttmZPTHvOpomFt4ySLMUX3hlXJsN+wxmxVt/nTauCwvteNVq6S9FB6t46VXTdTfXEP53DXSXAMABJP+M5k4GxLKgRReLcyljLFGb39v1Zkb+d2utO1KCJZhRDo/jnDXJ2Gy98JupSCIQDiuFAjq/Jdr+mtgU6U1/GzyHNxTX4bd/6Rmye4PKx/CbS5aCc3t+TwSnvdApq0QVz2gmBJkoKQkHHM/BGT9B/dwLXNesgTH3A/10kqKRbT9Pu2xVWlf3ypjCh2rzQq7w46UQOOC41O6+a98Yr69BcYiWanh0q7Wd3R04JY9NwMAfvLjxwtuqN4+8Ta+8bVHkUymsOW6LXjwEw/CZGrNGYpcOqoMweYLwpRPlNhzYfzzfkiSBK/PW9XzyaZG9ZJaygTBXH4eXCuTeyO3HLtdQI7UMGxQYDFFI+nQu69aoq8sOL8iSZKu4+XzeeFr8yGZSGJyYtKY60I2PNmXIzU0JU7pXt8yZUbKdrVhj9msdNZDahhUHYfrIzVUC69SM171L7wMtJOHsmCbCym8COVACq8Wptb8Llrw6xysAL3MRLCsQ6jnz+Fp6wFAYT6k/+BlUxfgmvoqHHM/AC1kpQOUEIZj7gdwTX89L7AVmAuJAEXD0X1NJjQ3ZwXf0o2Y9/a8xziXMeDIsmZgDRiGxtjYOJLJylawLOE/FATaxry3QzQpHcNYNIZAIAiO46o2MiiGOpszMxfRzX/lknTuRsq5S7ctEU9gfm4erInVPmiXklvfdRvcbhcunr+Igweyq+CvHz2Gf33038CneezctQMf+/hHDQ/gXCqyzoaVrSwXzHklzwBi5Suu05kV7Y4qHQ0t4ZfyrmuDboFjOaNKDYHlOd8FAA6nAxRFIRqNQhSNGe5XAoSzrxFaCCo5WCWYmZ5BPJ6A2+3SIkjUBTIj5YZq4ZU742XJMyVK269ZEfOL6vvB7Ows5AqDrouRTCaRTKbAmti6RS54SkgN1Y5X3VwN61R4CZz+PYXhxwsWigmEfEjh1cKMZea7qr2hsEReRa7MTeR6IZgH9TtRNNztayAxDkwKVxaVpXGxI/BM/COswWdhCT0Pz8QXi85ngeIwza+DRNvh6hguek0pxy7w1g26bbbQr3XaabPZjL5V/ZAlGRcqcM1i0uOwhX6t28ZbNyDlyBY7YzldxFrs+fPJ5kEpq5Pq/Fe465NIOq9HrO1exL13FBynXU9fLximPElgPbFYzLjzrjsBAD97+udIxBM4eOAgvvPv34EoiHjnze/Ehz/yYUOfu6WmGqkhAIimLkhszsKCLIKKVt71UkNSqzHWoPn5AkfFpPOGis/TquRKDfvrEDDfDDAMA4fDAVmWywppLweZsSOVl6doibxccv9zGenx4PCQZgCkOdCerU4SXgy/Xy81pIRwQUGYcmwz7PGaGbvdDqvNimQiaYixitqF8ng8hpg4FUPreIXypIb1nvHS7OQNnPGCYoIl09kilZKSRccjCIRcls/d0QrkUi2mCxJfoNtPOq8v6vjka/MBoDDNr0Ow5/Pa/JcOOQ1r6FnYgs+AkgsdEtP2zQj0/hVmE8q5vKWkDBSFqO9Dest2WYRj7geAlLVf11ZTz5a5mirxyjly5DIybUPU9yHdzzx2qT6yPm0QOu/mXbCsQ9z3AWUmochzn+to2Cxct/U6DA4NIhKO4BtffxTf+4/vQ5IkvPu978Jd93ygbh/aS0VbWxtomkbAHwDP84sfoEJRSNv0JhtU+M2KH18t+DqqCEhXbpbzF1eKL3osR3KlS6uXoZW8ilM12DDgBlwl32TDlDwLJj1VdF/VvXBwKLtwZ2T0BwCIogj/fCYDsk2ZQVOCyrMdBtHUXTBbuVyhKCobpGyA3FDtQtXLWAMALFYLOI5DKpnSdZ9aMUAZAEBRReSG5cUvEFYupPBqUVKpFKanp0HTNHr7eis+3hw/qgv5lWkrUrbNRfdVpSN+fwCSqV2b/xJNiwfCiqYehLseRrT9jyCzbu3NXT1nMWTWhVjbvbptDD8NW/CX2tdDw8rN40iZq6m24DNg+GndtljbvQVBxuNjqrGGsYVOdk6oMrla1lijeWRSFEXh3g/dA4qicH70PADgzg/cgffd/r5lV3QBip2+r80HWZY1O+tyyZcb0uHjWrByuajD85VKTSkpCXMsf3Fl97Kx0y4HVWrocru0vKvliGawYZCzIaDMrwjmAd02S/TVovuOqsYaOYVXd083rDYrAoEg/P7auwDBYBCSJMHtdimzjrJcIDNUJJIr5/WdKzesFS3Dq07GGoDy2ZHvbCjLsjbjVS/3W/W8RksNAUDg9PdfZM6LsBik8GpRJsYnIEsyunu6Kx+4l+UC2UjKsR2guaK7e31KkRQIZHOM1PmvmO9uyHThKpVMWxHzfQChnv9Fy4sClPBkYPHh3bRtE1L2rbptlshLMCVOA1CcswDg/Pnzi841mBKnC39e+1akbZsK9q2Xg2C+1LBcsg6LzdPxAoBVq1fh5j03gWEZfPC/3Ys9t+1Z6kuqKx1V/v4E84C+eyvFwabOV3QO9aaqo0KpoTn6ms5ERmYcSNmvqegcrU5fXx9MnAlXX7NpWS4KqKhFZSRiXOEFFMpSzdFDmlGSSiwWw/TUNFiW1akvaJrO6Xrp52qrQZvvysgM2dSoPhScYpCyX1vz47QSRjob1ttYQyXfYCOVSkMURJg4Eziu+D1IrdRrxgsoMudFCi/CIpDCq0XRgpOrkM+w6Qt5phdUgYtVLmp3KpAfIEvRSDl3Itj3BSRd71SyuCgGKccOBHu/gJTzet1MmCRJCAQW73ipxH136m2NAdjnfwRKjMPlcqG9ox3pVFqT4xVDyQ/7kW6bxPoQ991ZsC/P85iemgZFU1V1EReiPfMBOTc3V7a9siAImJqaAkVR6O1rrsILAPbetRf/+KUvYveNu5f6UuqOWjhXfINDMQWZXlwFYcrpdBrBQBA0TcPnW/xvRkOWChYbko5dANX6LpOV4PF68A9f/Ac8+KcfW+pLqStqOHnIwI4XoLjcSkxOp1BOwxw9pNtHjZZYPbC6wFBH7YAZITfUMrwyxhr5Uvm09cplm9lVCiOdDettJa+Sb7ARjyvdrnrNdwH6wssII5JcijobGvwYhOUFKbxalFqMNSxh/Q0Zb70MkqmtxN6Az6cUP7kdr1xk2oq49/3wr/o/4e//O8Ta7in6ARiNRiEKImx2W1krWzJtQbTtwwCyK9W0GIbd/wQgyxheq3TSSn6oyzLs/if0VtqgEG37MGTaUrD7xMQkJElCZ2en4StvFosZbrcLoiCWLbuZnpqGKIjo6Gxv2iyseq1QNhvaLEUVkp5CW/m3yv5gnpudgyzLaGtvq8gl0pQ4AVqYz26gGCSdO8o+fjlhsZiXdbcLyHa8jJQaAgAoFimH/nVjibyqc247l5EbDw7mGTMBGFpbmSR8IXI7XpSUgDn+hu77KyG7K59Ss8PVoIYnuz317Xi58zpeqrFGvea7AMBkMoFlWYiCWNmcbhmIbIey6JyBkmKgxdACRxBWOqTwalGqNdaghDC4uH7AP3+IOh+X2wWaphEOhSEIC8ynUGxJuSKAnG5X+W/sgmUQCffNum1c/Bi42JFF7Yq52GFweR/OCffNECyFNwhAznxXnWynOypcnbx0SSmulzq/i5CV+c3OVDbjBQBpy/o8a24/GL64SUE+WUfDyqzkrRG9hXzKthkys3xnnFY6WpaXgeYaKknnDp1ygRZmdYHc54rMd6msWbMaDMtgcmISiXhtMi91vrKtvQ1c7CggZ2+gJda7YkLBc+nsyM541RpUHQyproaN6ngpj6fOd9XLSl5Fm/Oq8XVYAEVD4PTz7kRuSFgIUni1IIIgYHJyEhRFVTyLZInuB5CdiZLYDvCWdQseQ9O0NhBbqutVDup8Vzkyw1wS7lsL2vn2wJNYO6B06c6NjBbIB2jBD3vgKd02ketDwn1rycept4Ogqscvt/Aar9O8GaFyOjoVR8GZ6elF9iwCbS74G7OGflvWoZqjYQWFF5MeB5vUdxiSruUvB13JuFRXQ6M7XgBkxoW07SrdNkvkFQCK0+D58+cBAANDAwXHmkwmrF69GrIs49y52ua85uez4ckFphr2rQC18m5nrDYrnE4n+DSvFTLVEgqoroaN6XhlpYb1tZJXaeScFzHYICzEynunWgZMTkxmJGgdsFgKJXMlkQVYovt0mxQL+cVfBprBRv6cVwWoHS9PhYUXKBaR9j/SzadQUgpD9LOwO+wIhcKaDAUAIEtwzP1QZywAikW0/b4Fg2PHarHnLwNtTqhMZ8NmdDRcqfh8PjAsg1AojGSyMC5hMfKH/rn4G2BzugalmNHCk8s31siXEgvm4YKFC8LyQnM1DBtfeAGFJhumxNug+XlMTEwinUqjvaNdu4Z8jLKV92dmvLpcfF5HgULKsbX4QSsAdVFoarKKRaEMoihqUQT1dv9UO14FUsMWLryIpTyhEkjh1YKoBUKl811c/DgoMStFkSkzUo7ryjpWM9gIBBfZszTZjlflK2qSqRMx7/t120zp81i3SnkzzZUbWsIvgE3pV1dj3tshmrpKn1+SMD6uGI701cnIolOzlF+84yXLclNmeK1UaJpGe7tygzNXxZxX2nYVBE5vhGP3/1SXK1eMSqWGlBiBOa4PL0+QbteyRzVEiNSp8BK41Xk3lzIs0VeL5nflM7x2YUl4OaTTaYRDYTAsg072pO57vHU9JLbCxbxlhLooMzVVfeEViUQgSzKcTmdFs6TV4CnV8arjjBdQ746X/jOaSA0JC0EKrxak2vmuQgv564qaTBTDp3W8qs9jUbtllUoNVVKOXeCtG3TbLu+aASBqq6lMehy20G90+/DWDUg5di147vn5eaSSKbjdLi2M1GgqsST3+/1IxBNwupyazJOwtNQ0yE7RiPv26jYx/BTM0f0LHlap1NAS2acr5iTWBz7PVZGw/LBYLWBZFslkCqlU5R3ZRaGoItbyB3FuVJG0Dg4OlDxULcounL+w8IzwAqjdLq/XA1viqO57Kfu2qs65XFAXZaanqreUzxpr1P+zxulygqIpRCNRCIKAmGauUd+Ol62OWV6iqUs/BymGdIvcBEIupPBqQVTThUqs5Jn0WEF+UMq5cDGSS7bjVbvU0F1tTghFIer7kC4XaX0/A1pKYHRkBJB4OOZ+oLvxlGkbor4PLRqqeelifWWGANDe0Q6KouCf9y96AzJ+iXS7mo1anA0BQDCvgeTRO6/Zgr8GJcaK7p9MJhEKhcGybHmLFbJQEHCbdN6wImdfVhoURWWzvML1ueFL2a7RvfdSUgIXzp4AkJUTFsPhcKCruwt8mtfUGpWiGmt0uGldjphM25HOcw1daaiLMrV0vEINMtYAAIZh4HI6IcsywuEw4rH628kDgMVaJ3MNAKBYiKZu3SZWF9lDIGQhn8gthiRJWQlaBUWCOgytwlvWLii9y8eIGa9apIYqMutCrO1e7evBHhYmRsL0xAVIE0+C4fUfPrG2eyGzi2vW6+1oCCiD5l6fF5IkaYPipbiUuR4y39U8aCHYNYSVSt13Qqay0QCUlIAt+Oui+87OKjeb7R3toOnF36rNsaOgxKj2tUybkXKs7G7ASkIz2KiT3BC0SWfZHogo72Nmsxk9vT0LHJgtzEbOVic31Oa7nPpFipTjugXndlcC6oLQdC2FV2beqt5W8irq4msoGEJMkxq27owXUCxImcx5EYpDCq8WY3p6Gnyah6/NV3buBSXGYI7p5Rn5spHFUAsvf5WFlyRJWrhntVJDlbRtk+JiBYBlKAz1mkBJaVw6qS8uU/atSNs2lXXORjkIdnSo7ngLd02yRh+k49UsGJKZY3Ij4d6j22SO7s8LNFeY1Yw1ypAZyjIs+Rby9m1lS4kJrY9TM9ion8Qp6dwJNVfx7DgPyBIGVy++MDCsGWxUl+c1NzcPQEK3U19UkoUFZWEGUN6XqrWUV+etGiVr97izIcrqjFc9c7yAHDv5uhVeRYKUCYQikMKrxRirQhJnjh4E5Ky0TWK9Fc99+LzZEOVqkt/D4TAkSTJseDfmuxMSq1zT+lXK+U5dys118SHmu7Ps89Xb0VCls0vpMi4mV8saa5COV7NQq9RQJenaDYltz9kiw+5/uiBUWXW/7CzD0ZBNjeYVb9Si+XyE5UW9nQ0B5X01bVWkfWfGlM+UDb3pRY8byhhsjI6eq+rzY35+HpScRocnO0cjmAcqUm0sV8xmM9weN0RBhL/KGWzVir7eVvIqnpyOVyMClIH6d7wKnQ1J4UUozsru0bcg2nxXuQWCLBXOfTh2VTz3YbVZYbGYkUymEI/HK36TVCWKnhpkhjpoC6JtH4Zr+hvY0G/Cz5HA62fS6PYpH8wJ1xUQzx9Z5CQKAi8gFArDbDGjra3NmOsrgdrxml3AUj4WiyHgD4DjuIrymwj1xeV2geM4RCNRJOIJbQW1YigWMe8dcM5+W9vEpkbBxY8hbb9G26ZKDct5DVjC+m4Xb70ckqm9xN6E5YhWeNUhyyuXpOt6cInjODOuLHRt7JwDLQQhsaXf29vb2+F0OREJRzA7M4vOrvLjEQBgfm4OlMyjw539myPdriydnZ2IhMN4+cWXK35ugezCYyNmvICsC2cwGMwGKNfdTl7p/sfrMeMFQDD1QullKF1HWpgHJSUg01V+ThCWLaTwajFUR8NyjTVMiROghRx5IMVW/YHl9fkwOTGJgD9QeeGVMdaoZb4rH8EyiIT7Zqzr/y0oChifE/GtZ6KQaTNk6rmKz9ff31/WLE0taHK1BaSGarert7+37tdDKB+aptHe0Y6J8QlMT09jYHCg6nPxtsvBWzfClMhaY9sCv0DaejlAcwCyHa/FCi+anweXeEu3LeF6R9XXRmhN6j7jlUEwr0WS6sC5SWVhYG0fAyq6HwnPu0seQ1EUhoeH8PrRYxgZGa2oOJBlGf7ZKUCWtY6XTJmRsl1d2w+yjOjq7sLI2bN47re/r+k8Pp/PoCtaGC1EORDMsZNvzIxXMpGszwPQJoimTjD8lLaJSY9DsKytz+MRWhZSeLUQkiTlSOLKK7zyTTVSts2Qmepa+l6vVym8AsGKJXmqsUbF4cmLkHDfClfyLD55expvX+AhsS6kbVejUhUtRdPYdf1OQ6+tGOVIDbXfMXE0bDp6+3oxMT6B8fGJmgovAIh574AneUZz4aTFIKzh55HwvAsAMJspzrsWkRoqMRFZ+ZbI9UIwl3aZIyxP1I5XvbK8NCgKZ8IbIIpvo6+Dgc1CQ47uV2YXFzC6GFILr7Mj2LlrR9kPF4/HkUxEYeEoOG3KfFnafg1Amxc5cuVwy603w2rlEI3Eqz5HV3c3urobI91UO2uzc3Pg0zwYlgHHcXV9TLWjFk9U/xwthsD16QovlhRehCKQwquFmJ+fRzKRhNvtgruMdHmGn4YpeUa3Lemqfu7DW0OWVz06XgAAikW485PYvPsVbN4NZa6Fru8beC34fF7QNI2AP4B0Ol30w2ZMM/og813NRn9/Pw4dPFS1LXYukqkTSeduWMIvaNus4eeRcmxFNG1BLBYDZ+Y0m/BiUFIS5thB3bakc/ei8QmE5YdT63jVPz/o5IQVAIV1/SYAACVGwcWOIe24tuQxQ2uHAQDnRitzNvRPXwQlC+j0MKAyr2siM9TT3t6Ojz5wH4LB+hUVRqKOHExNKEWK3W7Xfrf1wlpPO/kMItcHxA5rX5M5L0IxiI6phag0a8oc0c92CeYBiFz1N/O1OBtqVvI+YzteAACaQ9J9E5Lum5q66AIAlmXha1PkHHOZGZ58ssYapOPVbKguk2NjxlgFJ9x7IDM5gd2yAFvgF5hRHQ0z2W+lMEdfAyVlA3NlxoGUfbMh10ZoLdQCvd5SQwA4d34MMm3Cur7s2q0l+soCRwB9fb3gOA4z07MVZY2Fx18DALS7FZmhaOqGwK2u4qoJzYLbrRRe6bRizFLv+S4gV2pYv8Ir39mQIYUXoQik8GohxjLGGuXIDCkpCXP0kG5bpRby+fhqCFHOdrzqUHi1GF1dpd3xeJ7H9NQUKJpCb19voy+NsAhq3MDE+ETV1s25yLQFcc97ddu4+BuYH38DQFaaWvxgKSMzzKIY5xAhw0pEkxpGIoa8NkshyzLOjZ6DTHFaxwsA2NRFMKmLJY9jWVaT546W2/WSZQQnjwMAOjzK7UrKsY10dFsci8UMizUbdVHv+S4gJ0C5XjNeKHQ2ZPgZIGdhjEAASOHVUqgdr1WrF+9amaOHQMm5K+FOpG1X1vT4tYQoazNeDbKrbWYWyoOampyCKEro7Oysu+adUDkOhwMerwfpVLpkx7JSUvZrC1bwQxeU7oHqglkMxTgnJ4ibYjI5S4SViMlkgtVmhSiIdZVT+f1+hENh2O1OtPVepvueJU9lkY9qK19ukDKbGsV8QOngdXoYgGKQspeWMxJaB9XZEGhMx8ts5kDTNNLpNARBWPyAKpBpS0FUCJsz80UgAKTwahlkWc6xkl+k4yVLBaYaScfOmlfCVV12pR0vQRAQDkdAUdSC8yorhY4OpfBSA3JzGSMyw6ZH/d0YMecFAKBoxPMy56bngkpu0QKOhtb8wGTbFr1skbDiaESW17nRcwCAwaEBpFx6FYU5fhSUGC15rBqkXO6clzl6EDMBxXymw0Mjbb2yanMoQnORa11f7wwvQHHWVLts9cryAorJDQ36nCAsG0jh1SKEgiHEojHYbNZF56RMyTOghdxuCoOko3wXqVJ4PB5QFIVQKARRFMs+LhQKQZZluFzGhCe3Op0LSA2zclJirNGsqKYnapFsBIJ5DVL267Svp/wiKCmFrvbiCxVMehxsckS3LemqTUpMaH0aW3gNgrduhMTmZB/KIizRAyWPHRgcAEVTuHTxkjbfUwpKSsAcP4bZoCKb7PAwSDm213z9hOYgV/3SiI6X8jj1lxsKeXP0xGCDkA8pvFqESznzXYu5/+R3u9K2TZDZ2jtNLMvC5XJClmSEQqGyjwuq8131MNZoQRaSGhJHw+ZHLYqNMthQiXveC5kyQ5ZlTPtFADLWcMeK7msJ62e7BMtwwXwBYeXhbECW1+hItvACRRfIW82RV7WIhHwsFgv6+vogihLOn7+w4ONwsaOQRB6zIeVcbW1t4Ik197LBk+NwbG/AjBeQ42xYx45X/vswKbwI+ZDCq0XIznctLDOkhXmYEm/rthm5Eu7NOPJVMuelGmsYneHVqni9XjAsg3AojGQyu/ImSRImtMKLGGs0K6rUcNzAjhcAyKwLCfcehOMyEikZNguFNvkwmPSEbj9KjMAcP6LblnDuNvRaCK2J1vEK1cdSPplMYXx8HDRNY83AGgCq2UXWZIMWQ6DCb5Q8x1BGbjh6dqTkPgBgiR5AMCZBFAGnjQLl2w5Q5JZludDoGS8AsFqVx2mosyE/Bcj1mSkjtCZ1fRc7ffo09uzZg+9///sAgMnJSdx///2477778NnPfnZRqQEhy6WLilvUYsYalsg+6MNU+yBwawy7jmqcDTUreaMzvFoUmqazc145Bg3z8/NIJlNwu13aDRSh+fC1+WCxWhAOhREKGdtZSLp2YzKkdC26fQwoCrD7nwbk7N+0JbJP11GQ2Dbw1ssNvQ5Ca6LO0EYi9el4XbxwAbIko39Vv2b+I9M2pOxbdPvR838oeQ51zms0I1ksBpMeB5Mez5MZkuyu5YS+49WYuT11xiser1/emczYITE59zqyqAtVJhDqVnjF43H83d/9HXbuzMoQvvKVr+C+++7DD37wA6xZswaPP/54vR5+2aFK0BY01pDSMOfp65PO6w213q3G2VAt0kjHK4sqN8w12Bi/lDHWIPNdTQ1N0+jrU23lDZaRUCwupK4CAHR5ldwiNjUKLp6RHMoCLFG9c1zSeQPpBBAAAC6nUrQbvSCgos53qbbwKvlRJVTsDJj0ZNFzDGkGG+dK2t6bo0oouGqs0dbmg8SShbvlhK7j1WCpYbKOM14AkRsSFqZun9Ycx+Gxxx5DZ2entu3AgQO45ZZbAAA33XQT9u3bV6+HX1ZEwhEEA0GYLWa0L2AvbY4fBSVlW+gybUPKZmyYqprDVUmIcjbDi3xwqnRqc17Zwis730VmdZod9XdkpMGGymSQg0yx6PYx2jZb4BfKwkpM7xon02akHFsNvwZCa6KFKNe58BoaHtRtF7keCOYh3Ta7/2mY4scLcow8Xg98bT4kE0lMThQpziQe5pgipVU7Xt5uMtu13HB7Gt/xUs014nWMWwAK5Yak8CLkUjeLOZZlCxzsEomEJk9oa2sr6upGKEQd4u/r7wNNl66V8zNUUo5tAG0qsXd1eGuSGpKOl0pHp+psmJUaZn/PpOPV7GgGG0ZZyucwOzMDmbaguy1beNFiENbw8+ASb+n2Tdm3QaYt+acgrFByQ5SNRpIknaNhPknn9XCksjbxbGoEztkRgGLAmxUHRN6yEaKpC8PDQ/DP+zFDXiK9AAAgAElEQVQyMlqw0MQl3tQWEOdCIgAKnm59Xhih9XE6HWAYGqIoNbzjVU9zDaDQ2ZAhhRchhyXz9pZzZhZycTjMYFmm6PcaDcPQ8Hga84awEHOz06BpCuvWDZa+nsRFsMIEQKuyQgpc3y3gOGOvf/WaHtA0hUg4VPZzEw6HQdMU1gz0LnhMszzfjWBoqB80TSHgn9d+5smJCdA0hcuvWNvQ52ElPe9Gcfnla0HTFKYmJyp67sp5rv3+edA0g67hHaDprImGPfIcADnvb3wPODP53S3GSnmNU1QXaJpCNBox/OedGJ9EMpmEr82LwcG+Qndd91bQ4V8AgqJwoLXXqQRzegTm9AgQegayyYdN/XYcfk3A2MVReDzv0p2G8R8ClTl2NiQBNIeBwVUr4vdXC634Gr9y0+WYmprBmjU9DYma8bW5QdMUJImv+bla8Pm2rwU9n/374IRJeNxmgGqOe9tWphVf5/k0tPCy2WxIJpOwWCyYnp7WyRBVotFUkSOXBo/HhmCwfkOY5XL69CgkSUZHR3fJ67H7XwQtZYtZ3roBkbgVMHiIlDVZIUkyZmfny3pueJ5HKBgGw9CQZXbBY5rl+W4EVpsLkiRjYnwKwWAckUgE/vkAODMHjrM39HlYSc+7UdgdSqbd5MQ0pqcDMJvNZR232HMtSRKmJmcgSTIsfe+GGDwNSlS7F/rFqrT1CkQTdiBBfneLsVJe45JEA6AQCUcxNxc29Gb22LG3IUky1gwMIBQq3jEwee6BY+4/wSABSSq+uIrUPNZ7pgEhjjPHXoR4KqF1w2SKhSdyWnulzwRESJQZnLmx74mtSCu+xh/8xJ9CFEVEo2kADTBbkxlIkoxgMFLzc7Xg8y2b4KXsObLwNCKzFyBy3TU9JqHwee/ocC7h1VRHQyeyd+3ahd/85jcAgGeffRa7dxML5HJQ5Uz9pRwNpTS42FHdpnoFTdrtdpg4ExLxRFnt+mBQWf10ud0LyiRXGm63GxzHIRaLIRaLYWJcsQzv61tYTkpoDliWRVd3N2RZ1n53RhAOhZFOp+FwOmB1eBH3vLfkvkkXef8k6KFpGk6nAwAQjUQX2bsyzo0oMsLBwYGS+/DWDQj0/TXEgU8h6bwBElt8JrmvnYHNQsEfFhGaPgVb4BdwT/4TPJP/M3suQYY/SoGiGSJTX6ZQFNWQTpeKVQ1QrqOrIQCAogpt5YnckJChbnd4x48fx/3334+nnnoK3/3ud3H//ffjkUcewdNPP4377rsPwWAQe/furdfDLxsS8QTmZueUG72urqL7cPE380w1HEhb66OJpyhK+xBUg5EXQnU/JMYaeiiKQkenclMyOzOLS5fUnDYy39UqqHNeRuZ5qWYratxAyn4tBG51wX4i11tgZkAgAIAzM+cVMjhEeXSB+S4dtAmy8wrEfXsR7PsCgr1fQNy7F7x1I0ApN9k0TWF9vzJ/fGYsJ+NIznY95sMSZHDweDwNvTknLF8s2oxXfV0NgcI5L2KwQVCp27vZlVdeie9973sF27/zne/U6yGXJZcyhgu9/b0lP3wsGetdlZTjOu0Drh54fV7MTM/A7w+gp7dnwX1JeHJpOjo7MT42gdmZWe3mnTgatg71cDacnVEMh1TXS1A04r474Zr6qm6/pHO3oTERhOVDNkTZuMIrFothemoaLMtWHHchmdqRNN2ApOsGQOJhSo3AlDiJtWtexetnZ3D6Eo+dVxRKdWdCNGSKRXt7aSdfAqESbA0y1wCIpTyhNETT1OSMXbwEoHR+F83Pgk2N6LYl6xw0WUmIsio1JFKRQjRL+dlZTU5KHA1bh3618DLQ2XAmU3h1dGXnXwXzGqScu7SvRVMXUnZjYyIIywenS5l5MDJE+fy58wCA1QOra+s+0Sbw1o2I+/ai59pPQmIcODHp0XXDVCaSQwAo+Np81T8egZCDJjVsQOElmPKkhvw4IBfPrSOsLEj/vsnRJGglVhnzu12CeQCSqdC0xEiyIcr+RffNWskTqWE+aojy+Ng4pqenQdM0enrI8G2roEkNx8chiiIYpnbHqnypoUrMuxcC1wdajCJp31rXjjahtalHx+vc6HkAwODgIjLDClizZjUY1oTxmQRmHH8EazsLU2oEbOoiJNaNycQEgFNoa28z7DEJKxubVXHDa0ThJbE+yLRVGwOhpCRowQ/JRDq4Kx3S8WpyNGONYoWXLMAcO6TbVC9TjVyyhdfiHa9seDLpeOWjunqefPskZElGV3eXlnNHaH5sNht8bT4IvKBJBGulQGqoQtFIObYj4b4FMusy5LEIyxM1RNnILK9Swcm1YDKZsGr1KsiyjHPnzmndsITnNqQc2+GfVz472ttI4UUwBrNFkbQmE0lIUp27TxRF5IaEopDCq4lJpVJaJ6S3r7fg+6bEyRyraUCmzUjZrqr7dVUSoqwWZx7S8SpA7XjxaR4Ame9qRYyc85IkCXNzSqB2e17Hi0AoF5dTkRqGDOp4iaKI8+fPAzC24wUAw8PDAIDRkdGC783NzQMA6XgRDIOmaVisSuB8Kln/6KJ8Z0M2bZwsndC6kMKriZkYn4Asyeju6YbJZCr4fr7MMG3bDNDl5QnVgtenaO4DZbgaZqWGpOOVj8Ph0DTnANBP5rtaDvV3ZsScl9/vhyiIcLtdsFjq/3dMWJ6oHS+jpIYTE5NIp9Jo72jX5seMYnit4sw5UqTwmlcLL9LxIhiINWOwEW9A/iGxlCcUgxReTcwl1VhjdaGxBiWEYUq8rduWqrOphorH4wagGGcs1K5PpVKIxxNgWRaOTLYMIQtFUbpZnv5VpOPVaqgGG0ZYys/OKN2uXGMNAqFS1Bkvo8w1tPyuxWzkq0A95/lz5yEIWVv5ZDKJWCwG1sRqhSSBYARq4ZWIL5GzoVwiWJywYiCFVxNz6ZJSeBWb7zLHXgOQ/QMWTT0QuOLOh0bDcRycTidEQUQkXHqOIKhZyXtAEevronTkzPIQqWHr0bdKlRqOQa7xA3U2Y6xRMN9FIFRAtuMVqfk1CQDnMo6GQ3UovBwOB7q6uyDwgq5rPD+f7XaRzw6CkWQ7Xg0ovNgOgMrObVNSDLQYqvvjEpobYo3VxIxdUlbRCxwNZQmW6Gu6TSnHtobm+nh9XkQiEfj9frgzHbB81BkwMt9VGtVgw+P1wOEgXcFWw+fzwWqzIhqJIhwKl/xbKIdSjoYEQiWYzWZwHId0Oo1UKgWLxVLT+VRjjUEDjTVyGRoewvTUNEbOjmJgcAAAkRkS6oc1M+OVbEDhBYqGwPWCTZ3XNjHpcUjs0t0TnTp5ChPjE1Ufz7AsNm+5Bk6nsbLjlQQpvJoUQRAwOTkJiqIKOiFsahS0MJfdQDFI2bc09Pq8Pi8uXriIgD9QUoKiORp6SOFVip5exT5+dRE5KaH5oSgK/f39OHP6DMbGxmoqvFSpYSeRGhJqgKIoeH1eTE9N46knnsK9H7q36uytUDCE+bl5WCxm9PT0GHylCsPDQ9j3yj6MjozglltvBkCMNQj1w2rLWMo3QGoIKHNeuYUXmx4Hb7uiIY+dz+zsLL7+1W9AlmrrhPvn/dh7150GXdXKgxReTcrkxCREQURnV2fBimWBqYb1SsiMvZGXp+Vy+RdwNsw6GhJjjVJcfc3VuOeDd+OKK5fmjZhQO339fZnCa7ym36PW8SJSQ0KN3PmBO/Htx76NV1/eB/98AH/8Jx/XGfmUiyozXDOwBjRdn8mEoYzBxujoOciyDIqiSMeLUDfUjlcjsryAYnNeS+dseHD/QciSjNVrVlcdDcEwLK7fvcvgK1tZkMKrSVHnu/JlhpQUBxd/Q7etEdld+WiW8gtkeZHw5MWhaRo33nTjUl8GoQaMMNgQBAH+eT8oikJ7OwnYJNTGpquuxGf+/M/wb998DCffPol//tKX8dCnPglfm6+i82RlhkP1uEwAQHu74pYYCUcwOzOLzq5O+OdJx4tQH6wNDFEGmsfZUJIkHNivLNrf+YE7sH7D+iW5DgIx12ha1PmufGMNLnYUkLPuTxLrA29Z29BrA3JClBfoeAWDqrkG6XgRli/q32gtlvL+eT8kSYLX5y0aHUEgVMrg0CD+4vOfQ1d3FyYnJvFP//glXDh/oaJzaMHJdTDWUKEoCsPDelv5+Xk/AFJ4EYxHczVsVMfL1AVQjPY1LYZ0+auN4szpMwj4A/C1+bB2XePvGQlZSOHVpGgdr7zZH0v0gO7rlH0rQDX+16h2vIILSQ0zM14+Hym8CMuXru4uMCyD2ZlZJJPJqs4xPU1khgTjae9ox198/nNYv2E9IuEI/uWfv4LXjx4r61hBEHDx4kVQFIWBgYG6XueQWnidHYEsy5rUsJ1IDQkGY7UpUsN4g2a8QLEQTfr5SDZdvblFtRzYp9w7btuxrW6yYUJ5kGe/CRFFUZMt5Xa8mPQYGN0fLIWUY2uDr05BDVH2lyE1JK6GhOUMy7Ka8UC1blGzs7MAsi6XBIJRWG1WPPzIQ9ixazv4NI9vP/Zt/O63zy1qNX/p4iWIgojunu6q5sMqYWjtMADg3OgoIpEI0uk0rDZr3R+XsPJodMcLKCY3bOycVyKRwOuvKwsu27c3Ju+VUBpSeDUhM9Mz4NM8fG0+2O1Z04x8Uw3eumHJbEmdTgcYlkEsGkM6nS74fiKeQDKZAsdxsGVchAiE5YrqPFqt3HB2Ri28SMeLYDwsy+K+j9yH2+98P2RZxk+f/Cl+9IP/0oUW5zM6kpnvqqPMUKWvrxccx2FmelaTQxJjDUI9UO9Hkonq1AnVkF94sQ2e8zp65Cj4NI+169eivaP2GWI6cQEdv3WBDervST0HboTz+EPZDbIM5xsfg2nut0XP0/bCAADAfuqvQCfOL/q49lP/HcwLN8P7yrXwvXgZ3IfeC7x4l36niV8DZx6t5Mcpj4uPl7/vvgeA8V+U/DYpvJqQosHJUhpc7Ihuv6Uw1VChaTprsFFEbpib4UUCMAnLHW3Oq0qDjRkiNSTUGYqicNu7b8PHH3wALMvi1Zdfxb9+499K2mqfO6cWXgN1vzaWZbUMr9cOHgIAtJP5LkIdsGgdr3jDHrPQ2bCxUkNVZrh9h3HdLtE6APNUthih4yOg+aBuHzoxivjgX4Jvv3XBc8U2fBGSdWDRx4xt+AeI7/w94oOfQ6r7LoSu+yXwjif1O/W+G1j3cNk/R1mIaeDk/zTsdMTVsAlRV81zHQ25+JugpOwKjUw7kLZe1vBry8Xr9WJudg4BfwBdXV2672kZXkRmSFgB1OpsqEoNO4jUkFBntly3BV6fd0HHQ1mWc4w16udomMvQ2iGcPnUabx57EwAx1iDUhyWRGpp6ofQ5JAAALcyBkhKQ6fpLaWemZzA6cg6cmcM1mzcbdl7evRWc/3nEZBGgGFimnkC67WZQovK8mgKvwn72byFTJkiWPkQu/yoAGs7jD4JJjoF3ZbNn3Yfei+jGf4LMuuE8/gkAACXzCF/xTUi2Mt5/9j0A0ByQngf6bgeCx4H1jwD77gccw8Dcq0oxFnwDmDsArP+08t/MS8Cx/w7QJsC2Ctj2GCAmgJc/CEgpQEwBW78OjHwLCL4JvPYpoG0bMPErIDEBXP8j4O0vAf6DgJgE1j4ErP2TRS+XdLyakEtq4ZVjrFFgquG4DqCWtm7WnA2LzHll57uIsQZh+dPXpxReE+MTEEWxomPT6TSCgSAYhiZGNISGMDg0iL/4y9KOh36/H+FQGHa7vWFdWLXAU+WPPiI1JNQBLccr3jipIWgTRJN+Ua1RtvIH9iv3jpu3bIbFYjbuxJQJgvs6mPwvAgC42WeQbr9N+7b91F8idM0PEbruF5C4TpinnwI3/xwoiUdw23NI9XwQNO/XnZJOTSE+9FcIXfcMkr33w3rp38u/HrMP2P2EflvgdWDLl4AbnwFe/yvgqr8Hbvw5cPYx5fuHPwO846fALb8HLF3AxZ8A088Btn5gzwvA9f8JJGeAyz4PuDYAW7+hHBe7COx5ETC3AY4B4NaXgT0vAW/+j7IulRReTYYkSVrHq3+VUnjR/CzY1Khuv6Rj6QckValhsRBl0vEirCSsNiva2tsgCAKmp6YrOnZudg6yLMPX1gaWJSIEQmNoby/teKjldw0NNEwqPjC4BhSdfSwy40WoB7kdr8UMZoxkKea8JEnCwQOvAQB27DR+NCXVuRfmqcfBRE9AMvdCZhwAACo1AzY+Atexj8B96L0wBV4EnZoEEzsF3qNch+DeWtDxk8xdsF78JtyvvRvWi18vKMwWpK3IPbFjWCmOrD2AuROw9SkFFh8CEtNA5Azw0l3A794JTD8PJMaB9p3A3D7g4ENA5KwiXSx4rK0ARQGMBUj5gWd3AS+8B0jOlnWp5FO+yZifn0cykYTL7YLb7QJQaKohmAcgmZZekkQ6XgRClv5V/Zifm8f42Dh6+3rLPi7raEjmuwiNRXU8/K8f/hf2v3oA337s27jjA3fAn8nRGqpjcHLBtVit6Ovr0xYeyYwXoR6wLAuO45BOp5FKpY3tAi2AyPUBscPZ62hA4XXq5GkEA0G0d7TV5W853XYTHKc+D8nchVTXndlv0CaI5h5lBisH6/l/gb7fI+m+bx/5v5BuuwXJVQ+Cm34a5tlfl38xNFdkG1v835ABhgOsfUpnK5/3HlMKsTOPAnP7gcGPFn+s6T8A078H9vxBkSv+2FHepZa1F6FhXLqQye9S57tkAebYId0+S2mqkYtvgcKLdLwIKw3N2bDCOS/V0ZDMdxGWAtXx8I69t2uOh6++8iqAxjga5pJ7c5g7c0YgGIkqN0wuqaV8/QuvA/v2AwC2ba8tu4vmZ2EJvwTn9GPwjP8D7PNPARABmgPv2QXL+PeQbn+Ptr9sUu4NmehJAIDl4jfBRI5DtK0DG1ZM4tjgAVBSSvc4VHoeom0QkGWYZ58B5ELHbMPgMk2B0Anl/6e+CgTeAKZ+p/zXcxtw3VcB/yElK1cq4gCbmlNmw2gTMPYzQBYVI45FIB2vOvH0k0/jpRdfBirsZIuSMh+iygxNiZO6lHOZNiNlu8qw66yFclwNvaTjRVgh9PdnnA0rtJQnjoaEpYaiKNz6rlvR1t6O7/3H9yAIAhiGxuo1qxt6HcPDQ3jxhRfhdrtgMpka+tiElYPFakUoFEYikag4Z1QQBDz+4ydw5PBhiIK0+AEaEmghK527bE0YD3wuAZqtj8FGIp7AsWNvAAC276hwsV5Kw5QagSlxElziFGhhTvdtmr8AiVcWDFNde0Hxc5BNbt0+kcu/DudbDwM0B9Hcg2T/xyHaN8Ay8T24X3sPBOeVEM16ZUiy/+NwnPw8JOtqJFZ9Eo63PwvT/HPg226p8Kcvk+3fAvZ/XOlgWXuBtZ8AEi5g30eAE19UCq5Nf6tIFaU08NK9QN/7ssd371H2+92NQP9eoPf9wGuLOyqSwqsOhMNhvPD7FyCKlfxRZuE4DpuuuhJAocwwbdsM0I1pjS+GKiMM+AOQZVmbBZBlGcFgMLMP6XgRVga5zoa5fw+LQaSGhGZhy7Wb4fV68O1//w6Gh4fAcUXkO3Vk4+Ub0dnVgcuvuKKhj0tYWajB3JU6GyYSCXzr376FUydPg6YpSFJlK+u0RAOycl947GwaB1/6LXbcdEdF5yiXw4ePQOAFrN+wvqzuMc3PgkuchClxEqbUCCCXzviDyYnU4N0AgHTHu5HuUOageN9u8L7dAADBuxPB7c8XHBq+5ofav2Mb/18A0CSJouNypDuynTN/x6miD5/q/SPoemU7/yP776EHsv9+d0YtZnIAd54v/HfnDcC79MZ1mllGPu8/UbiNcwPvzrlH3/jnRa83H1J41YGD+w9CFCVcuekKPPDgAxUfzzAMWJYFJYRgSryt+14zmGqoWCxm2Ow2xGNxRCNROF1OAEA8Fgef5mGxWrRBVgJhuePxemCz2xCLxRAMBLUZyMXIhicTqSFh6RkcGsTf/v3f1CRNqhabzYa//pu/bvjjElYW6n1JPF5+llcoGMI3vvYoJsYn4HQ68bnPPwKnqzI5rGPuhzDF38Th0yl886dR/OwXz+Gq7Xu0UGcjUd0Mt+8scc+4SFdrIQTzMJLOnUZc5oqEFF4GI8sy9r26DwCw64brYTZX352yxA4hV6somnogcqtKH7AEeL0exGNx+AMBrfAiMkPCSoSiKPT39+P0qdMYGxsvq/BKJpMIhcJgWZZ0hwlNw1IUXQRCo6g0y2tychKPfvVRBAJBdHR24FOPPIy161YjGKwshJlxrIFFOI5dV5jx/NEUTl6K41fP/Ap333t3xT/DQkxNTuH86HlYLGZcfc3V2naanwOXeBum5EmYkot0tXKhGPDmIfDWjeCtGyGynYqrH6EqSOFlMKMjo5iZnoXb7cLlV9QQcCxLMEdf021KObY13Yvd6/VifGwCAX8AazLzAKqxBrmRJKw0+lephdeYJhdeiNlZZZWxvaOd3OwSCARCA7BpUsPFs7zOnjmLf/vmY0jEExgYGsAnH/4EHI7y3OvyETMGGxRF4aO32fG/fyuIl5/7JW7ZlEb7wFYI5gFD8lkP7Ffkb5u3XA27fAlc4G2YEm+D4WfKPofEesFbNiJt3QjesrZpRlyWA6TwMph9ryjdrm07toNhmKrPw6ZG9a1fikHKvqX0AUuEqh0O+LNDo9mOFym8CCuL3DmvcpjNGGuQ+S4CgUBoDOV2vI4cPorv/sd3IQoirrp6Ez72xx+rae4x19lwdReLmzZb8PsjSfz4qd/jrz58CGAs4M3rtM6SxFZ+DyXzERza9wdQUhy3Dr8B1/Tr5R1IuloNgxReBpKIJ3D0iPIi33n9jprOVWCqYd0EmbHXdM56kHU2DGrbtAwvDym8CCuLPq3wKs/ZcGZGdTQk810EAoHQCLTCK1668Hr+uefx1BNPQ5Zl7L5xN+754N01qxJkxg7eejlMCcWo4Z4bbdh/IoW3zvE4fDqN6zZQ4BLHwSWOAwBEUzd4q9J1KtkNk2Uw/CS4xAmYEm/jrbfOIhwMoctLY32vCKB08ZTtal0G3jJMuloNghReBnL48BGk02ms27AOHR3Vr2BTUhxc/A3dtlQTmWrkooUo51jKaxleZZoLEAjLhc6uTrAsi7nZeSTiCc09qxSq1JBYyRMIBEJjWKjjJUkSnn7yaTz/3AsAgDs+cAf23HpL2S61ixFpvx+W6Cvg4sfhxAXcc6MN3/1NDD/4XQxXD3MwsdnHYfgpMPwULOEXINPmbDfMshYMP6MVW7QY0o556U3lZ3rHVZYi18yAtwyCt15GulpLCCm8DEQ11di5q7ZuFxc7qht6lFiforFtQrzewhDlIDHXIKxQWJZFT28PLl28hPHxcaxdt/DfrdrxIlJDAoFAaAzqglh+gDLP8/j+//d9HDl8FAzL4I8+ch+2bt9q7IPTJiRd70TS9U5QUhzbvCfxu2Pfw8R0EL/cn8CdNxR3OKSklK4bVoxYUsKhU2lQFHDDVUr3SqYdypyW9TLw1vWQaeI0vdSQaW6DGB8bx8XzF2G1WXUuMhUjy7BE9bkCiqlGc/6qfL7MjFeRjhcx1yCsRNQ5r7Ey5rxmp4mVPIFAIDQSi0W1k88WXvF4HN/46jdw5PBRWCxmPPzph4wvuvKQaRtE1xbsve8hSLQTTx/gMEG9Q5EVLiARLMWrx1MQReDyIRdsq96FcPefIdD/PxBr/29I268mRVeTQDpeBvFqxlRj67brahq+ZNLjYNITOVsopOzX1Xh19cPldoGmaYRDYQiCAJqmtfBk0vEirET6V/UDAMYuLTznFY/HEYvFwJk5uNyuRlwagUAgrHhseQHKfr8fj37tm5ianILb7cLDjzyszes2gg0bN+CazVfj9aPH8KPfBfDAHz8CSorDlDgNU+IUuORJUGKk9AkoDrxlLf5wchQSQ2HLzR9FwtO8940rHVJ4GQDP8zh0ULF+37mrtlA5S0xvqlGts02joGkabo8bAX8AgUAAHGeGKIiw2W01FaAEQquiFl6LORvOZBwNOzo6DJsfIBAIBMLC5M54jY+N49GvPYpQKIzunm48/MhDmpKnkey9ey+OH38Lh187jN3vuAHDa4eRtl+DtP0axGQpY6BxMmMLPwmZtiumGBljjMnJOZwb+79hsdpw1dVXNfz6CeVDCi8DOPb6G4jHE1i1ul+76aoKKQ0udkS3qVlNNXLx+rxK4eUPwGyxKNuIzJCwQunt6wWghG4KggCWLf42OzuTkRl2EZkhgUAgNAq18AoEAvjyl76MZDKFteuG8acP/SlstuIzVvWmra0Ne27bg18/82s8/uMn8Pkv/K9ZF0WKhsj1IcH1IeG+pejxB/YrIypbrt1CFr2bnOYcHGox1OyuWrtdXPxNUFI20E9mHEhbawhhbhC5BhvEWIOw0rFYLGjvaIcoiJieni6538ysUnh1dLQ36tIIBAJhxaOaa/BpHslkCluu3YxPf+bTS1Z0qdx62x54vR6MXRrDvlf3l32cKIo4eEBRXe3Yub1el0cwCFJ41cjc7BxOnzoNE2fCdVtr09Qygj5VPGW/zpAU83rjy7GUzxprkMKLsHLR5rwulp7zyoYnk44XgUAgNAqTyQSLVVHn3HTLTfjYH3+spDKhkXAch7137QUA/PynP0c8Hi/ruBNvvY1IOILOrk4MDA7U7wIJhkAKrxrZv09p716z+ZpFM3sWg7es0/4t03YknTfUdL5GkQ1Rzu14EakhYeVSjrPhTEZqSDK8CAQCoXFQFIU/+cSD+JNPPoi77vlAzcHIRrL52s1Yu24YsWgMv3rmV2UdczAjM9yxczuZF24BmufV1oKIooj9+5R28K7ra5MZAoBgWYtw92cQ996JUPefNbWpRi5aiHJmzgsgUkPCymYxgw1ZljE7SwovAoFAWAo2bNxQW/RPnaAoCvd88B5QNIUXX3gJk5OTC+4fi8bw5pvHQdFU3e3vCcZACq8aeGrO3qsAABKLSURBVPvE2wgFQ+jo7MDw2mFDzimYVyPp2g3J1DpzH2rh5fdnpYZu0vEirGD6+zNSw7ExyLJc8P1oJIpkIgmrzQqHw9HoyyMQCARCk9LX34frb9gFSZLwxI+fKPoZonLotUMQBREbL9sIj4fcd7UCpPCqAXX4cef1O1d0e9fnzYYoE6khgaDk2zmcDiTiCa0LnMvMTMZKvpNYyRMIBAJBz/tufx9sNitOnTyNN4+9WXI/1c1wxw5iqtEqkMKrSsLhMN568zhomsa27c1v+V5PLFYLLBYz0qm01vEiUkPCSoaiKC2As1iQsiYz7CAyQwKBQCDocTgceN/t7wMAPPnEU+B5vmCf8fFxXLo4BqvNik1Xb2r0JRKqhBReVXJw/0GIooQrNl0Bt9u11JezpFAUBW9O4KDT6WwKhyACYSnJyg0L57xmpjMZXsTRkEAgEAhFuH739ejp7cH83Dx+/7vfF3z/QMbc7drrroXJZGr05RGqhBReVSDLMva9akx213Iht8PlITJDAgH9q1RnwyIdr4zUsLOLdLwIBAKBUAjDMLj73rsAAM/++rcIZhRFACAIAl47eAgAsH3HylZdtRqk8KqC0ZFRzEzPwu124fIrmj/guBGoBhsAme8iEIBsx6uYs6FmJU+khgQCgUAowYaNG3DN5quRTqfx9JNPa9tPvHUC0UgU3T3dWDOwZgmvkFAppPCqgn2vKN2u7Tu3g2GYJb6a5iC38CLhyQQC0NnVCRNngn/erwvClCQJc7Nzyj5EakggEAiEBdh7916wJhaHDx3ByNkRAFmZ4fYd24hBU4tBCq8KScQTOHLkKABgx64dS3w1zYPPSzpeBEIuNE2jt7cXgH7OKxwKI51Ow+F01By6TiAQCITlTVtbG/bctgcA8PiPn0AoFMZbx98CTdPYuo1kd7UapPCqkMOHj4BP81i3YR2RCeWQO9eV2/0iEFYyxZwNNSt58v5BIBAIhDK49bY98Ho9GLs0hn//18cgihIuu+IyuD3upb40QoWQwqtCVJnhTtLt0qGf8SKFF4EAAP2Zwit3zms2M9/V2UVkhgQCgUBYHI7jsPeuvQCA8+cuACCmGq0KKbwqYHxsHBcvXITVZsXV11y91JfTVHg8Hk1nTNLTCQSF/lUZS3ldxytjrNFJOl4EAoHw/7d370FV1vsexz+LayACIgtHTI3ceNIwMxVTjpV21bJyMk9NoqZNkTcyzbyQ2tYJ1FFHLXXG1CxNG8kmGx0zMx134eWgx9TdpO0kIQIvzVISQlj8zh9ulrBRxJZrPcB6v/7S5XP5/T5+Zfyu5/c8D+qmS9cu+lt8O0lSaJNQdbqLd3c1RDReN+C7f1/t6p7YTUFBQRaPpn4JCAjQ3ffcrbjb43icPPBvsa1iZbPZVFhQoPLyckksNQQA3DibzaZn/+dZRTWP0sOPPMT7Uhso/tbqqKysTP+7/4Ak3t11LSNeetHqIQD1SnBwsOwxdp0uPK3ffitQdHS4a6lhC5YaAgBuQGyrWL09e6bVw4AbuOJVR4f/73sVF5eodZvWruVDAHA9V+7zypPT6dTZs5cfJR9tj7ZyWAAAwMtovOqIh2oA+Csqv6jJPZWnc+d+l7PcqYiIcAUHB1s8MgAA4E00XnVw9sxZHf/xuAKDAtWtezerhwOgAWlV5cmGhQWX7++KadHCyiEBAAAL0HjVwd6svZKku7vczQtPAdyQVrdevuL1a16eCn4rkCTZY1hmCACAr6Hxug6n06m9WfskSb2SeKgGgBsTERGu8Ihw/flnqY4e+acknmgIAIAvovG6jh/++YPOO87LHmNXu7+1s3o4ABqgyuWGR44ck8TLkwEA8EU0XteR9d3lZYY9k3q6XhAMADei8smGznKnJF6eDACAL6LxqoXDcV7HjhyVn5+fEnskWj0cAA3UrbdeeQWFzWZTdDT3eAEA4Gu8+gLlffv2KTU1VfHx8ZKk9u3b66233vLmEG7It//IktNZoU6dOykiItzq4QBooFq1buX6dbOoZgoMDLRwNAAAwApebbwkKTExUYsXL/b2aW+YMUa7v/mHJKlnLx6qAeCvs9vtCgoKUnl5GcsMAQDwUSw1vIZ//etnFRYUKiIiXB3v7GD1cAA0YH5+foq9NVaSFBPDgzUAAPBFXr/i9dNPPyklJUXnz5/XmDFjlJSUVO3Pw8KCFRDg7+1h1VBY8Ksk6YG+vdW8eVOLR+Mb/P39FBkZavUwfA65e0eHDvE6lfOL2rePI28vo8a9i7y9j8y9i7yt0RhytxljjLdOVlhYqOzsbPXr10+5ubkaOnSotm/frqCgINc2Z84UeWs4tSopKdHxH39Qxzs7cT+Gl0RGhsrhKLZ6GD6H3L2jpLhEJ0+eUPv/6qiAAK9/5+XTqHHvIm/vI3PvIm9r/GfudnvDuzDi1aWGLVq0UP/+/WWz2dSmTRtFR0ersLDQm0Oos5CQEN3/wH/TdAG4KUJCQ9Qr6V6aLgAAfJRXG6/Nmzdr5cqVkqQzZ87o3LlzatGihTeHAAAAAABe59WvXvv27auJEyfq66+/VllZmWbOnFltmSEAAAAANEZebbzCwsK0fPlyb54SAAAAACzH4+QBAAAAwMNovAAAAADAw2i8AAAAAMDDaLwAAAAAwMNovAAAAADAw2i8AAAAAMDDaLwAAAAAwMNovAAAAADAw2i8AAAAAMDDbMYYY/UgAAAAAKAx44oXAAAAAHgYjRcAAAAAeBiNFwAAAAB4WIDVA/CkuXPnKjs7W+Xl5XrllVfUqVMnTZo0SU6nU3a7XfPmzVNQUJDOnz+v119/XU2aNNHixYslSYWFhZo6daouXbqkiooKTZkyRQkJCdWOX1RUpAkTJqioqEihoaGaP3++IiMjVVpaqunTp+vEiRPatGmTFVP3OiuyLi0t1cSJE13b5ObmasKECRowYIBX524ld3IvLi7W5MmTdfbsWYWEhCgjI0N2u73a8cvKyjR58mTl5+fL399f6enpat26tSoqKrRgwQJlZmZq7969Vkzd66zIOjY2VsOHD3dtc/r0aQ0cOFApKSnenLql6pr71q1btWrVKvn5+alnz54aP378Neu3Kmq8Oivy9vU6dydzSdq/f79SU1P1zjvvqE+fPjWOT41XZ0Xevl7jknu5l5eXa9q0aTp16pScTqcmTZqkbt26VTt+g6lz00hlZWWZl156yRhjzO+//27uv/9+M3nyZLN161ZjjDHz588369atM8YYk5qaat577z0zduxY1/4ZGRlm/fr1xhhjsrOzzYgRI2qcY8mSJWbFihXGGGM2bNhg5s6da4wx5u9//7tZvXq1GThwoOcmWI9YmXWlsrIy89xzz5k//vjj5k+wnnI399WrV7tyPHDggElLS6txjk2bNpmZM2caY4zZs2ePSU1NNcYYs2zZMrN27VqTmJjouQnWI1ZmXdXIkSNNfn7+zZ1cPVbX3IuLi02fPn1MUVGRqaioMIMGDTInTpyoU6bU+BVW5l2VL9W5u5n/8ssvJiUlxYwaNcrs3Lnzquegxq+wMu+qfKnGjXE/98zMTDNjxgxjjDHHjx83zzzzTI1zNJQ6b7RLDbt3765FixZJksLDw1VSUqJ9+/bpwQcflCT16dNHWVlZkqTZs2era9eu1fZv1qyZHA6HJOnChQtq1qxZjXNkZWXp4YcfrnG88ePH66GHHvLMxOohK7Ou9Nlnn+nRRx9VkyZNbu7k6jF3c8/JydFdd90lSerWrZuys7NrnKNq7r169dLBgwclSUOGDNELL7zgmYnVQ1ZmXem7777TbbfdppYtW97cydVjdc09JCREmzdvVlhYmGw2myIjI+VwOK6bqUSNV2Vl3pV8rc7dzdxut+vdd99V06ZNr3kOavwKK/Ou5Gs1Lrmf+5NPPqkpU6ZIkqKiolz/Z6yqodR5o228/P39FRoaKknKzMzUfffdp5KSEgUFBUmSmjdvrjNnzkiSwsLCauw/fPhwbd26VY899pjS0tKUmppaY5uzZ88qKirKdbzTp09f83iNmZVZV9q4caMGDRp0U+dV37mbe/v27bV7925Jl5dO5Ofn19imau5+fn6y2Wy6dOkSNe7FrCt9+OGHGjp06M2dWD33V3L/8ccf9euvv6pz587XzVSixquyMu9Kvlbn7mYeEhIif3//Ws9BjV9hZd6VfK3GJfdzDwwMVHBwsCRpzZo1euKJJ2qco6HUeaNtvCrt2LFDmZmZmj59erXPzXVeX/b++++rX79+2rZtm2bNmqU5c+bUuv31jucLrMr60KFDuv322+vdPy5v+au5Dxo0SIGBgXr++ef17bffun5g1cbX69yqrAsLC1VcXKw2bdr8tYE3cHXNPScnRxMnTtT8+fMVGBhY4zh1qV9fr3HJurx9uc5vVuZ1QY1bl7cv17jkfu7r1q3TsWPHNHr06Oueq77WeaNuvPbs2aPly5drxYoVatq0qUJDQ/Xnn39Kulz8MTEx19z34MGD6t27tyQpKSlJR48eVW5urpKTk5WcnKyjR48qJibG1aFf73iNnZVZ79q1Sz179vTg7Oovd3IPCgrS22+/rfXr1+vll1927VuZ+65du6rlXlZWJmOM6xsqX2Nl1rt379a9997r+UnWQ3XNvaCgQKNHj1ZGRoY6dOggSVfNtKKighqvhZV5+2qdu5P51fBzvHZW5u2rNS65n/vGjRu1c+dOLV26VIGBgQ22zhvtUw2Lioo0d+5cffDBB4qMjJR0ec3nl19+qaeeekrbt293/Wf/atq2bavDhw8rISFB33//vdq2bavWrVvro48+cm2TlJSkbdu2adSoUdc9XmNmddZHjhxR//79PTfBesrd3Hfv3q1Dhw7ptdde0+bNm9W7d2/dcsst1XIvKirStm3b1Lt3b33zzTfq0aOHx+dVH1md9ZEjR6769KzG7kZynzZtmmbOnKk777zTtX/lz42qmVLj12Z13r5Y5+5mfjXU+LVZnbcv1rjkfu65ubnasGGD1q5d61py2FDr3Gbq67U4N33yySdasmSJ4uLiXJ9lZGQoLS1NpaWlio2NVXp6uvz8/DR8+HBduHBBhYWFio+P16hRo9SuXTtNmzbN1Y1PmzZNd9xxR7VzXLx4UW+88YYcDofCw8M1b948NW3aVOPGjVNBQYFOnDihhIQEDR48uFE/4tzKrCVpwIABWr16taKjo7036XrA3dy7dOmicePGyeFwKCIiQgsWLKhxw7DT6VRaWppycnIUFBSkjIwMtWzZUrNmzdLx48d18OBB3XPPPerbt69efPFFb0fgNVZmLUkpKSl69dVX1blzZ6/O22p1zT0vL09PP/206wEm0uV7Rx944IFrZlqJGr/Cyrwl36xzdzP39/fXypUr9fPPPysqKkp2u12rVq2qdg5q/Aor85Z8s8Yl93M/fPiwtmzZotjYWNfnK1eurHZFq6HUeaNtvAAAAACgvmjU93gBAAAAQH1A4wUAAAAAHkbjBQAAAAAeRuMFAAAAAB5G4wUAAAAAHkbjBQDwqLy8PHXp0kXJyckaMmSIBg8erK+++qpO+547d04jR45UTk7Odbe9ePGi+vbt6+ZoAQDwjEb7AmUAQP0RFxfnetmlw+HQwIEDXS+Srs2pU6e0aNEihYWFeWOYAAB4DI0XAMCrIiMjZbfbdezYMS1btkxlZWXy9/fX7NmzFRsbq0ceeUQdO3ZUUlKS/P39tX37dr355pvat2+fFi5cqICAALVo0ULp6em6dOmSxo4dq9LSUnXt2tV1jqttW/VlmwAAeBtLDQEAXpWXlyeHw6FPP/1UI0aM0Jo1azRs2DAtXbpUkpSbm6vRo0fr2WefrbbfjBkztHDhQq1du1YRERH64osv9Pnnnys+Pl4ff/yxOnToUOu2AABYiSteAACPO3nypJKTk2WMUXBwsObMmaOpU6fq5MmTWrZsmZxOp6KioiRJISEhio+Pr7a/w+GQzWZTy5YtJUk9evTQgQMHVFFRoe7du0uSEhMTa90WAAAr0XgBADyu6j1elQIDA7Vo0SLFxMTU+Pw/2Ww2GWNcvy8rK3N95ud3efFGRUVFrdsCAGAllhoCACzRuXNn7dixQ5KUlZVV63LAiIgI2Ww25efnS5L279+vhIQExcXF6ejRo5Iu39dV27YAAFiJK14AAEuMGTNGU6dO1ZYtW2Sz2ZSenl7r9rNmzdKECRMUEBCg1q1b6/HHH1dxcbFGjx6tYcOGVXu4xtW2BQDASjZTdT0GAAAAAOCmY6khAAAAAHgYjRcAAAAAeBiNFwAAAAB4GI0XAAAAAHgYjRcAAAAAeBiNFwAAAAB4GI0XAAAAAHgYjRcAAAAAeNj/Aw8LI/M52kvqAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **3ª aula - Série Temporal**"
      ],
      "metadata": {
        "id": "pHBNyMcZpNGH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#ajustar os dados\n",
        "dados_serie = dados.drop(columns='Média Móvel')"
      ],
      "metadata": {
        "id": "3Dz-miigvfOv"
      },
      "execution_count": 85,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#dividindo dados para treino e para teste do modelo\n",
        "\n",
        "#Dados de Treino\n",
        "treino = round(len(dados_serie) * 0.80) #80%\n",
        "\n",
        "#Dados de Teste\n",
        "teste = len(dados_serie) - treino #20%\n",
        "\n",
        "print(f'Vamos ter {treino} registros no TREINO do modelo')\n",
        "print(f'Vamos ter {teste} registros no TESTE do modelo')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TP9LHVF2sUYF",
        "outputId": "d8f240b2-14dd-4e60-cd8b-b01735d0bf93"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Vamos ter 38 registros no TREINO do modelo\n",
            "Vamos ter 9 registros no TESTE do modelo\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#verificar a divisao\n",
        "dados_treino = dados_serie[0:treino]\n",
        "dados_teste = dados_serie[-teste:]\n",
        "\n",
        "#tamanho do grafico\n",
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "#plots dos valores\n",
        "plt.plot(dados_treino)\n",
        "plt.plot(dados_teste)\n",
        "\n",
        "#titulo\n",
        "plt.title('Verificando a divisão')\n",
        "\n",
        "#legenda\n",
        "plt.legend(['Dados de treino', 'Dados de teste']);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "6rNQ5dP-sU50",
        "outputId": "f34fd6d6-c4d8-4b0b-a01d-e775c41a7552"
      },
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#retirar avisos\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "#criando o modelo de machine learning\n",
        "from statsmodels.tsa.api import ExponentialSmoothing\n",
        "\n",
        "#definir os parametros do modelo\n",
        "funcao_serie_temporal = ExponentialSmoothing(\n",
        "    dados_treino,\n",
        "    seasonal_periods=7,\n",
        "    trend='additive',\n",
        "    seasonal='additive').fit()"
      ],
      "metadata": {
        "id": "bwZEidu_stwy"
      },
      "execution_count": 90,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#fazendo as previsoes\n",
        "previsao = funcao_serie_temporal.forecast(teste)\n",
        "\n",
        "#incluir esses dados em um dataframe\n",
        "base_previsao = pd.DataFrame(previsao)\n",
        "\n",
        "#renomear a coluna\n",
        "base_previsao.rename(columns={0:'Previsão'}, inplace=True)\n",
        "\n",
        "#join (unir Teste com Previsao)\n",
        "juntando_bases = pd.concat([dados_teste,base_previsao], axis=1)"
      ],
      "metadata": {
        "id": "cHA0TO5ltbU6"
      },
      "execution_count": 93,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#plotando\n",
        "juntando_bases.plot();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273
        },
        "id": "5jKKYK0owVCi",
        "outputId": "f59f2cb2-a066-412a-97d4-60cc3f550413"
      },
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#plotando\n",
        "juntando_bases2 = pd.concat([dados_serie, base_previsao])\n",
        "\n",
        "plt.figure(figsize=(10, 6) )\n",
        "plt.title('Analisando a Série')\n",
        "plt.plot(dados_serie, 'blue')\n",
        "plt.plot(base_previsao, 'red');\n",
        "\n",
        "#legenda\n",
        "plt.legend(['Dados reais', 'Previsão de casos']);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "sQ0SNJK7wsLJ",
        "outputId": "ac4ed86a-4873-4eb6-ecfd-8dc08e56adc6"
      },
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Checando o RMSE (root mean squared error), erro quadrático médio, que é uma medida usada para estudar as diferenças entre os valores previstos por um modelo ou estimador e os valores observados."
      ],
      "metadata": {
        "id": "VBZAWY5ieBr6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#erro do modelo\n",
        "from sklearn.metrics import mean_squared_error  #RMSE\n",
        "\n",
        "#calcular o erro\n",
        "mean_squared_error(dados_teste, previsao, squared=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o1PlX3Jrxucw",
        "outputId": "4efe2668-fe62-44ef-8fe6-8edf5617ef32"
      },
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "9.080957529684646"
            ]
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#prever proximo semestre\n",
        "\n",
        "#definir os parametros do modelo\n",
        "funcao_serie_temporal_02 = ExponentialSmoothing(\n",
        "    dados_serie,\n",
        "    seasonal_periods=7,\n",
        "    trend='additive',\n",
        "    seasonal='additive').fit()\n",
        "\n",
        "#fazendo as previsoes\n",
        "previsao = funcao_serie_temporal_02.forecast(6)\n",
        "\n",
        "#incluir esses dados em um dataframe\n",
        "base_previsao = pd.DataFrame(previsao)\n",
        "\n",
        "#renomear a coluna\n",
        "base_previsao.rename(columns={0:'Previsão'}, inplace=True)\n",
        "\n",
        "#join (Unir Teste com Previsao)\n",
        "juntando_bases = pd.concat([dados_serie, base_previsao], axis=1)\n",
        "\n",
        "juntando_bases.plot();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 262
        },
        "id": "U0FrKL3Xx4Ew",
        "outputId": "9ee1006c-4ab9-44f7-ef4b-1ff998356524"
      },
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#alterando o estilo do matplot\n",
        "plt.style.use('seaborn-darkgrid')\n",
        "\n",
        "#alterar o tamanho\n",
        "plt.figure(figsize=(14, 6))\n",
        "\n",
        "#plotar media movel\n",
        "plt.plot(juntando_bases['Quantidade'], linewidth=2, alpha=0.9, color='#dd1c1a')\n",
        "\n",
        "#plotar o valor real\n",
        "plt.plot(juntando_bases['Previsão'], linestyle='dashed', linewidth=2, alpha=0.9, color='#474350')\n",
        "\n",
        "#labels\n",
        "plt.xlabel('Período')\n",
        "plt.ylabel('Quantidade')\n",
        "\n",
        "#legenda\n",
        "plt.legend(['Realizado', 'Previsão'])\n",
        "\n",
        "#titulo\n",
        "plt.title('Previsão de feminicídio no 2º Semestre de 2022 - Estado de São Paulo', loc='center', fontsize=18, color='#474350' )\n",
        "\n",
        "#anotacao\n",
        "plt.annotate(\n",
        "    'Análise efetuada no evento Hands-on 2022 \\n by: Joice Oliveira',\n",
        "    xy = (1.0, -0.15),\n",
        "    xycoords='axes fraction',\n",
        "    ha = 'right',\n",
        "    va = 'center',\n",
        "    fontsize=10\n",
        ");"
      ],
      "metadata": {
        "id": "NBdfIin90jok",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "9a1a0153-e587-4879-99f0-1dedecf44b77"
      },
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    }
  ]
}