Clusterizar_documentos.ipynb

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    "colab": {
      "name": "Clusterizar_documentos",
      "provenance": [],
      "authorship_tag": "ABX9TyP9DNquASggWrBqDASsKGKU",
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    {
      "cell_type": "markdown",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/hsantos1985/clusterization_datasets/blob/main/Clusterizar_documentos.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "O objetivo deste notebook é clusterizar artigos publicados no Daily Kos, um site de notícias políticas norte americana com um ponto de vista progressista. Este site foi fundado por Markos Moulitsas em 2002 e atualmente conta com centenas de milhares de visitas por dia.\n",
        "\n",
        "O arquivo dailykos.csv contem dados de 3430 notícias postadas no site. Esses artigos foram postados em 2004, no período da eleição presidencial dos Estados Unidos. Os candidatos eram George W. Bush (pelo partido republicano) e John Kerry (democrata) e um dos principais temas do debate político na época era a invasão do Iraque (em 2003).\n",
        "\n",
        "Cada variável do dataset é uma palavra que apareceu no mínimo em 50 artigos diferentes (1545 palavras no total). O valor da variável é o número de vezes que essa variável apareceu no dataset.\n",
        "\n",
        "As etapas da análise são:\n",
        "\n",
        "1 - Importação das bibliotecas\n",
        "\n",
        "2 - Análise inicial do dataset\n",
        "\n",
        "3 - Criação dos clusters\n",
        "\n",
        "4 - Redução das variáveis\n",
        "\n",
        "5 - Análise descritiva dos clusters\n",
        "\n",
        "6 - Conclusão"
      ],
      "metadata": {
        "id": "TCg2oEr2o4a4"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#1 - Importação das bibliotecas\n",
        "\n"
      ],
      "metadata": {
        "id": "Z5Uvb437umKX"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 2,
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        "colab": {
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        },
        "id": "tA3OY962oqMP",
        "outputId": "77d3d9c6-c0ab-41a8-808d-75a9e34bc27e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting kneed\n",
            "  Downloading kneed-0.7.0-py2.py3-none-any.whl (9.4 kB)\n",
            "Requirement already satisfied: numpy>=1.14.2 in /usr/local/lib/python3.7/dist-packages (from kneed) (1.21.5)\n",
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            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from kneed) (3.2.2)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->kneed) (1.4.2)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->kneed) (3.0.8)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->kneed) (2.8.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->kneed) (0.11.0)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from kiwisolver>=1.0.1->matplotlib->kneed) (4.1.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib->kneed) (1.15.0)\n",
            "Installing collected packages: kneed\n",
            "Successfully installed kneed-0.7.0\n"
          ]
        }
      ],
      "source": [
        "# Importando as bibliotecas\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import numpy as np\n",
        "import warnings\n",
        "\n",
        "#Pre_processing\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from sklearn.compose import ColumnTransformer\n",
        "\n",
        "#Modelos\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.neighbors import NearestNeighbors\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "\n",
        "# Cluster\n",
        "from sklearn.cluster import KMeans\n",
        "from sklearn.cluster import DBSCAN\n",
        "from sklearn.cluster import AgglomerativeClustering\n",
        "import scipy.cluster.hierarchy as sch\n",
        "from scipy.cluster.hierarchy import dendrogram\n",
        "#PCA\n",
        "from sklearn.decomposition import PCA\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "#Metricas e visualização e otimização\n",
        "from sklearn import metrics\n",
        "from sklearn.model_selection import train_test_split,learning_curve,KFold, StratifiedKFold, LeaveOneOut, cross_validate, validation_curve, ParameterGrid, ParameterSampler, GridSearchCV, RandomizedSearchCV\n",
        "from sklearn.metrics import silhouette_score, accuracy_score, precision_score, recall_score, f1_score, roc_auc_score, classification_report\n",
        "from yellowbrick.cluster import KElbowVisualizer, SilhouetteVisualizer\n",
        "from yellowbrick.model_selection import LearningCurve\n",
        "! pip install kneed\n",
        "from kneed import KneeLocator\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "from sklearn.model_selection import RandomizedSearchCV\n",
        "#Word_Cloud\n",
        "# !pip install -U pillow\n",
        "import PIL\n",
        "from PIL import Image\n",
        "from wordcloud import WordCloud, ImageColorGenerator, STOPWORDS\n",
        "from IPython.display import Image\n",
        "\n",
        "\n",
        "warnings.filterwarnings(\"ignore\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#2 - Análise inicial do dataset"
      ],
      "metadata": {
        "id": "bgt_MOvru0e-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#importação do dataset\n",
        "df = pd.read_csv(\"https://raw.githubusercontent.com/abnr/ml-data/main/dailykos.csv\")\n",
        "df.head()"
      ],
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          "height": 299
        },
        "id": "AmTTl8sbutzQ",
        "outputId": "08b95688-a4a0-473c-c1cb-93c10e9fd269"
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      "execution_count": 18,
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          "metadata": {},
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      "source": [
        "#Análise descritiva do datasets\n",
        "df.describe().T"
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        "outputId": "1e38bf20-1b82-4302-ffaa-daa522bbb724"
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      "execution_count": 19,
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              "           count      mean       std  min  25%  50%  75%   max\n",
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              "absolute  3430.0  0.018659  0.145713  0.0  0.0  0.0  0.0   3.0\n",
              "...          ...       ...       ...  ...  ...  ...  ...   ...\n",
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              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>abandon</th>\n",
              "      <td>3430.0</td>\n",
              "      <td>0.020408</td>\n",
              "      <td>0.157046</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>abc</th>\n",
              "      <td>3430.0</td>\n",
              "      <td>0.034694</td>\n",
              "      <td>0.250326</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ability</th>\n",
              "      <td>3430.0</td>\n",
              "      <td>0.032362</td>\n",
              "      <td>0.185040</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>abortion</th>\n",
              "      <td>3430.0</td>\n",
              "      <td>0.035277</td>\n",
              "      <td>0.385177</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>absolute</th>\n",
              "      <td>3430.0</td>\n",
              "      <td>0.018659</td>\n",
              "      <td>0.145713</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>young</th>\n",
              "      <td>3430.0</td>\n",
              "      <td>0.042274</td>\n",
              "      <td>0.263935</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>youre</th>\n",
              "      <td>3430.0</td>\n",
              "      <td>0.067055</td>\n",
              "      <td>0.310494</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>youve</th>\n",
              "      <td>3430.0</td>\n",
              "      <td>0.033528</td>\n",
              "      <td>0.201442</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zogby</th>\n",
              "      <td>3430.0</td>\n",
              "      <td>0.118950</td>\n",
              "      <td>0.523985</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zone</th>\n",
              "      <td>3430.0</td>\n",
              "      <td>0.017784</td>\n",
              "      <td>0.165495</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1545 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-53da039a-c4ef-45d2-95e5-a9719de13120')\"\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",
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              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "    .colab-df-convert:hover {\n",
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              "      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",
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              "        const buttonEl =\n",
              "          document.querySelector('#df-53da039a-c4ef-45d2-95e5-a9719de13120 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-53da039a-c4ef-45d2-95e5-a9719de13120');\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",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#verificando o formato do datasets\n",
        "df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b3rEQGiXvZr2",
        "outputId": "a29f0209-0cfb-4e8c-e6e6-7ebf1f2f22cf"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3430, 1545)"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pUWxB2XTvdbv",
        "outputId": "3563a062-f818-40ad-d676-758a71bf08ae"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 3430 entries, 0 to 3429\n",
            "Columns: 1545 entries, abandon to zone\n",
            "dtypes: int64(1545)\n",
            "memory usage: 40.4 MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Verificou-se que o dataset é composto de 3430 linhas e 1545 colunas\n",
        "#Devido a quantidade de colunas não foi possível verificar o tipo das mesmas"
      ],
      "metadata": {
        "id": "2GlriQxevf4n"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#3 - Criação dos clusters"
      ],
      "metadata": {
        "id": "DOZMHbIowDAA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#escolha dos clusters pelo método do elbow\n",
        "#Utilização do método do Kmeans\n",
        "#Testando un range de 14 clusters para verificar qual seria o ideal\n",
        "x=df\n",
        "\n",
        "elb = []\n",
        "\n",
        "for i in range(1, 14):\n",
        "    kmeans = KMeans(n_clusters = i)\n",
        "    kmeans.fit(x)\n",
        "    print( i , kmeans.inertia_ )\n",
        "    elb.append(kmeans.inertia_ )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5Njl3Z49wE6w",
        "outputId": "f6787e4c-0e9f-48d5-ead6-50d2c893c1da"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1 896461.1247813414\n",
            "2 817799.8968688042\n",
            "3 786329.8142396811\n",
            "4 765550.6685218932\n",
            "5 750952.7536737642\n",
            "6 738115.6950847756\n",
            "7 729859.8510190251\n",
            "8 724935.2516771958\n",
            "9 716771.2174330973\n",
            "10 710530.3130750395\n",
            "11 707639.2214839957\n",
            "12 702456.6377850684\n",
            "13 703976.459667688\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Verificando graficamente o número dos clusters por esse método verifica que o número de 2 clusters já é o suficiente\n",
        "\n",
        "plt.plot(range(1,14),elb)\n",
        "plt.title('Método Elbow')\n",
        "plt.ylabel('Elb')\n",
        "plt.xlabel('Número de clusters');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376
        },
        "id": "6_z-r7C5w7pr",
        "outputId": "09e9b424-ff69-464a-be12-e33ce6c3ab65"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Verificação do número de clusters pelo método do Silhouete\n",
        "#Cria-se 28 pontos para o silhouete score\n",
        "\n",
        "sillhoute_scores = []\n",
        "\n",
        "for i in range(2, 31):\n",
        "\n",
        "    kmeans = KMeans(n_clusters = i)\n",
        "    kmeans.fit(x)\n",
        "    labels = kmeans.predict(x)\n",
        "    print( i , silhouette_score(x, labels) )\n",
        "    sillhoute_scores.append( silhouette_score(x, labels) )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0JxD-LbQzXFy",
        "outputId": "a8e8a7ed-3325-49be-a5a6-7d72533f95c9"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2 0.2517539604671334\n",
            "3 0.2321923178402833\n",
            "4 0.2053819560902943\n",
            "5 0.19843103550777583\n",
            "6 0.18271704381843742\n",
            "7 0.14271986963670244\n",
            "8 0.1335058606753117\n",
            "9 0.13969869270757812\n",
            "10 0.0663770218294126\n",
            "11 0.02849322644662706\n",
            "12 0.0424223854707188\n",
            "13 0.07755305997030656\n",
            "14 0.06922381123514675\n",
            "15 0.11030221390049075\n",
            "16 0.05736558053634815\n",
            "17 0.08435872715123517\n",
            "18 0.04204499295472487\n",
            "19 0.016252001373394706\n",
            "20 -0.007048401724747231\n",
            "21 0.02798335999498748\n",
            "22 0.033198231322944256\n",
            "23 0.004205395626746234\n",
            "24 -0.015567325893557069\n",
            "25 0.00869378935138413\n",
            "26 -0.01767891281534015\n",
            "27 -0.004956151174846393\n",
            "28 0.061580652575250125\n",
            "29 0.00383496759371232\n",
            "30 0.004406730716758867\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Através do spontos criados anteriormente, verifica-se nos gráficos abaixo, quais são os aqueles co valores positivos epróximos do 1\n",
        "#Como só existe um gráfico onde só existem valores positivos, é escolhido 2 clusters\n",
        "\n",
        "fir, ax = plt.subplots(3,2, figsize=(15, 8))\n",
        "row = col = 0\n",
        "for i in [2, 3, 4, 5, 6, 7]:\n",
        "\n",
        "    km = KMeans(n_clusters = i)\n",
        "\n",
        "    q, mod = divmod(i,2)\n",
        "    visualizer = SilhouetteVisualizer(km, color='yellowbrick', ax=ax[row][col])\n",
        "    col = col + 1\n",
        "    if col == 2:\n",
        "        col = 0\n",
        "        row += 1\n",
        "    visualizer.fit(x)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        },
        "id": "ijJv2RYKRzlT",
        "outputId": "248c89cd-3bd6-4027-c16f-e26d9ccdeea0"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x576 with 6 Axes>"
            ],
            "image/png": 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EIhG74xAREZFNhBCQPR74P/sZKNXVdscZgYUdEdEFmKYJv9+P6dOnQ9M4mh8REVGhEkJADofhX3cDFAcOmsbCjohypmv1arsjjIsQghONExGRY8UWLbI7QsEQQkAOBBC4+SbIXq/dcc6JhR0R5cyRm2+2O0JahBCQJAmTJ09GaWmp3XGIiIjOKbb0GrsjFARhGFCrquFbuxqyx2N3nPNiYUdENEQIAVmWUVRUBCEEizoiIqICJ4SAUl4G/+fWQXL49EYs7IgoZ+o3bwYA/PW737U5yUhCWBPulpaWoq6uDpqmobW11eZUREREF+bdsQMAMOCyUx3cQiQSUOtq4fvMZxxf1AEs7IgohyJ799od4SyGYaCkpAT19fXwOPjwCiIiotHUt/7b7gj5K5GAPm8evB9dbvv8dOliYUdEBck0TXi9XtTX16OoyCWTAxMREVHWiUQC6vRp8H3so3ZHGRcWdkRUMJJTFwQCARQVFaGoqMg1e+GIiIgo+4RpQm1ogP9Tn7I7yrilVdg99NBDaG1tRSKRwFe/+lXMnj0bd911FwzDQHl5OR5++GHouo5du3Zh27ZtkGUZa9euxZo1axCPx7Fx40Z0dHRAURRs3rwZdXV12f5cREQjhEIhVFdXIxgMspijCcP2kYgof4hEAkplJfyfdcc5daONWdi9/PLLOHjwILZv344TJ07guuuuwxVXXIH169djxYoVePTRR7Fjxw6sWrUKjz/+OHbs2AFN07B69WosX74ce/bsQTgcxtatW/Hiiy9i69ateOyxx3Lx2YiowCV76BoaGhAMBu2OQ3mG7SMRUf4QQkCpr0fghutduwN4zFJ04cKF+Md//EcAQDgcRn9/P1555RVce+21AIClS5di79692LdvH2bPno1QKASv14v58+ejra0Ne/fuxfLlywEAixYtQltbWxY/DhE5Wf+UKeifMiXr72OaJoqLi9HU1IRZs2axqKOsYPtIRHYzKithVFbaHcP1hGlCKSqC/zPXubaoA9LosVMUBX6/HwCwY8cOXHXVVXjxxReh6zoAa3jwrq4udHd3o6SkJPW8kpKSs26XZRmSJCEWi6WeT0SF4+1/+IesvXZyyoJQKISamhqEQqGsvRcRwPaRiOzXf8uX7Y7gesI0oZRH4f/cOsiaZneci5L24Cm//vWvsWPHDjzxxBP46Ec/GCEmuTE12nhvH629vT3daBnr7OzM+ntMJObNPrdlZl5LcoTLoqIi9Pb24sCBAxPyum6cy86Nmd0uH9vH0dy2XjFvlgiBIIDOjg67k6TNTVkB5s220XlFIgGzvAz9M5uAP/zBplTnlsl3fVqF3QsvvICf/OQn+Jd/+ReEQiH4/X4MDAzA6/Xi6NGjiEajiEaj6O7uTj3n2LFjmDdvHqLRKLq6utDU1IR4PA4hRFp7I5ubm7M6p1RHRweqqqqy9voTrbOzk3mzzG2Z3Zh31r59AID3W1om5DVN00Q4HEZlZeWET1nQ2tqKBQsWTOhrZpvbMrtmY/YC8rF9HM2N6xXzZocQAgd+8UtUVVfbHSUtnR0drskKZJZXHTqEOzF/fjYiXVA+LF/P1VdDXzDfcYdftra2orm5edzF3Zjn2J05cwYPPfQQfvrTn6Y2nBYtWoTdu3cDAJ5//nksWbIEc+fOxf79+3H69Gn09vaira0Nl156KRYvXoznnnsOALBnzx5cdtll4/1sRJQnav7pn1DzT/900a9jmiYCgQCmT5+OpqYmzkNHtmD7SER28/7Xs/D+17N2x3AdkUjAc+018Fy6wHFF3cUYs8fu2WefxYkTJ/DNb34zdduWLVtw7733Yvv27aiursaqVaugaRruvPNO3HLLLZAkCRs2bEAoFMLKlSvx0ksvYd26ddB1HVu2bMnqByKi/JQ8TK2oqAjV1dUIBAI2J6JCx/aRiMiFTBO+T38KelOT3Ukm3JiF3fXXX4/rr7/+rNuffPLJs25raWlBy6hDrJJz8xARZSJZ0JWXl6O6upoDS5BjsH0kInIZIeD5yNV5WdQB4xg8hYjIDmVlZaitrYXm8pGqiIiIyD5CCPjWrIY2aZLdUbKGhR0ROY5pmvD5fKisrER5ebndcYiIiMjNJAn9y67N66IOYGFHRA5iGAZ8Ph+i0SgqKiry6oRmIiIiyi0hBCRNhXfZMpgDA3bHyToWdkSUM3/8xS/OebsQArIsY9q0aSgqKmJBR0RElIaeb/2N3REcSwgBORSC/3ProQSDQB5MsTMWFnZElDNGODzidyEEJElCZWUlKisreR4dERHRePj9didwJGEYkENBBD5/M2Sv1+44OcPCjohyRjt6FAAQi0YhhEAkEsGkSZPgLaAvXSIiookinTwJABCczzVFCAGlvByBz98MSR5zyu68wsKOiHKm6dZbIQHoeOklRKNR+LmnkYiIKGOBx38MAOi5516bkziDEAJKJAL/uhsKrqgDWNgRUQ6YpglJkqAoChRFQUNDg92RiIiIKI8I04RcVAT/TTcW1OGXw7GwI6KsEEJACIFQKITKykrIsgxVUeyORURERHlGCAGluNgq6jweu+PYhoUdEU040zQRiURQX18Pn88HABzpkoiIiCacSCSgNjTA9+lPFXRRB7CwI6IJIoSAaZrweDwoLy9HdXU1izkiIiLKGpFIQJs9G74VLdzmAAs7IrpIQgioqori4mKUlZUhEAjwy5WIiIiyyzCgz50DX0uL3Ukcg4UdEY3b8PPnysrKUFZWll4x94//mP1wREREBWLg06vsjmALYRjwLLoC3iuvtDuKo7CwI6K0CCEAAF6vF0VFRSgtLR3/dAWf/nQWkhERERWmRHOz3RFyTsTj8K5YAc/cOXZHcRwWdkR0QaZpwuv1IhAIoLq6OjUYChEREVEuCcOANnMmi7rzYGFHRCMIISDLMsLhMPx+P/x+P4qKiibmvLmlS63LPXsu/rWIiIgKnP9//hMAoO//uN3mJLkhFxfB9/GVdsdwLBZ2RATA6pnz+/0oKytDeXk5lGzMOffnP0/8axIRERUo+f337Y6QE0IISD4f/J/6FCTOiXteLOyICpxpmgiHw6ipqUEoFLI7DhEREVGKSCSg1tbAt3p1wc9TNxYWdkQFKDkQSigUQl1dHQKBgM2JiIiIiEYSCQNa8yz4Vq7kVEppYGFHVECS58+VlZWhpqYGmqbZHYmIiIjoLMI0oTY2sKgbBxZ2RAXANE2oqoqKigpEo1EWdERERORYwjCglJfD/5nrWNSNAws7ojxkmiaEENA0DX6/H+FwGFVVVfZ/Oa5ebe/7ExER5ZH4nPwb9l8kElCnToX/0xwoZbxY2BHlASFEar65cDiMcDgMn88Hn89nfzE33COP2J2AiIgobwx+8lN2R5gwwjAg+3zwrVgBbeYMu+O4Egs7IpdKFnOhUAjBYBCVlZU8xJKIiIhcR8Tj0GbNgm9FCySV5UmmuOSIXGR4MReJRHDJJZe4q5i7/37r8sEH7c1BRESUBzy7nwMADH6sxeYkF0EIeJcsgWfxIruTuJ6czoMOHDiAZcuW4Re/+AUAoLOzEzfddBPWr1+PO+64A7FYDACwa9cufPazn8WaNWvwq1/9CgAQj8dx5513Yt26dbjxxhtx6NChLH0UovwlhIAkSSgrK8O8efMwc+ZMBINBdxV1ALBtm/VDlCfYPhKRnbRXX4X26qt2x8iIEAJSKAj/DTewqJsgYxZ2fX19+Lu/+ztcccUVqdt+9KMfYf369fjlL3+JSZMmYceOHejr68Pjjz+Of/3Xf8VTTz2Fbdu24eTJk/jP//xPhMNh/Pu//ztuu+02bN26NasfiChfmKYJj8eDSCSC+vp6zJ07F42NjfBwck4iR2D7SESUGZFIQA6HELj5Zqi1NXbHyRtjFna6ruOf//mfEY1GU7e98soruPbaawEAS5cuxd69e7Fv3z7Mnj0boVAIXq8X8+fPR1tbG/bu3Yvly5cDABYtWoS2trYsfRQi90seahkOhzFz5kzMnj0bU6dORUVFBVQec07kKGwfiYjGT0gSvEs/guCXvwzZ67U7Tl4Zc0tRVdWzNij7+/uh6zoAoLS0FF1dXeju7kZJSUnqMSUlJWfdLssyJElCLBZLPZ+IrN45XddRXFyM6upq9x1iSVSA2D4SEaVPCAFJVhC8cT2UYTvEaOJcdBeAEGJCbh+tvb0940zp6uzszPp7TCTmzb5cZTZNE5IkQVEUeDweeL1eyLKM7u5udHd3p/06ra2tWUw58QaHzjdqd0luty1fwJ2Z85Wb28fR3LZeMW+WCIEggM6ODruTpM1NWYHx551sGBk9b6Kk/b6GAaO4GAMfuRri0CHApnOKXfO3hsy+6zMq7Px+PwYGBuD1enH06FFEo1FEo9ERG6THjh3DvHnzEI1G0dXVhaamJsTjcQgh0tob2dzcnNVziTo6OlBVVZW1159onZ2dzJtl2cycPMTS5/MhHA6juLgYoVAIspzW+EXn1NraigULFkxgyuxqbW2Fp7YWAFyR223LF3BfZjc1sOnKh/ZxNDeuV8ybHUIIHPjFL1FVXW13lLR0dnS4JiuQWV45EgEAWz5n2nmFgD7/EniuvtrWCcfd9LfW2tqK5ubmcRd3GW1VLlq0CLt37wYAPP/881iyZAnmzp2L/fv34/Tp0+jt7UVbWxsuvfRSLF68GM89Zw3FumfPHlx22WWZvCWR6wghYBgGNE1DaWkp5syZg9mzZ6OhoQGRSOSiijrX+t3vrB+iPMX2kYhyqfeOb6L3jm/aHeOchGlC8nnhW7Ma3muusbWoKxRj9ti1t7fj7//+73H48GGoqordu3fjkUcewcaNG7F9+3ZUV1dj1apV0DQNd955J2655RZIkoQNGzYgFAph5cqVeOmll7Bu3Trouo4tW7bk4nMR2cYwDHg8HpSUlKCyspLnyxDlKbaPRETnJgwD+uxmeK65BjJH886ZMQu75uZmPPXUU2fd/uSTT551W0tLC1paRk6QqCgKNm/efBERiZxNCAEhBPx+PwKBAMrKyhAKheyO5Uy//rV1uWyZvTmIJgDbRyKym3LgAADAmDbN5iTDKAp8H/sY9OZZdicpOBw/nWickodYer1eRCIR6LqOkpIS+Hw+u6M535e/bF2++66tMYiIiPKB71fPAAB67rnX5iRDhIB/9WehDp1TT7nFwo4oDaZpQlEU+P1++P1+lJeXw+fzQZIku6MRERER2UqYJuRgEP61a6CUltodp2CxsCMaJTmCpaZpCAQCCIVC0DQNZWVlLOSIiIiIhhHxONRpU+H7+Md5Pp3NWNhRwTMMIzWnXGlpKTweD8LhMAKBAAs5IiIionMxDKgNDdAWzIfW0GB3GgILOypQyTnlAoEASktLEQwG8frrr6OxsdHuaERERESOJQwDcjiM/quvgv+66+yOQ8OwsKO8Z5omZFmGrusoKiqCqqoIhUIcuZKIiIhoPEwBz4cXwnPVVTBee83uNDQKCzvKO8lz5LxeL3w+HyKRCMrLywtzQnCnGZqMmYiIiC5e36235uR9RDwOtaYGnmuWQq2pycl70vixsCNXSxZxuq7D4/HA4/EgEAggHA5z1EonamqyOwEREVHeMKMVWX19YZqQvV54llwJfeFCblc5HAs7co1kESdJEjRNg8fjgd/vR1lZGYLBoN3xKB2xmHWp6/bmICIiygeJhHWpTvwmvYjFoE6bCv+nPgVJ0yb89WnisbAjxxhduKmqmrrUdR26riMQCMDv90OWZe41cqNp06xLTlBORER00YJ/vwXAxE1QLoQAEgnIFRXwzJ8Pfc5sbm+5CAs7yjkhBIQQ8Hg80DQNuq7D6/VC13VEIhGoqsrCjYiIiChHhBAABLSmJniuuIKTjLsUCzvKCiEEDMOAECLV86brOnw+H3RdT80XR0RERET2EfEEtKkfgqflY1ACAbvj0EVgYUcZSR42CQCKokBVVaiqCkVRoGkaTp8+jaamplRPHHvfiIiIiJxDxGJQGxvhXXYtlLIyu+PQBGBhR2dJFmyyLENRFMiyDFVVU+e+JX+S57tpmnZW4Xbq1ClEIhE74hMRERHROQghIJkm1BkzoDXPgtrQwJ3veYSFXZ4b3rNmHT+N1PlryZ42n88HTdNSBYvQbEMAACAASURBVFwwGEQwGIQkSfxjJyIiIsoDIh6HWlcLb0sLz6HLUyzsHCY5sEjyepJpmjAMA4BVmCV/ksVZUrJXbfjhkT6fL/WY5KGSahaGxSUa0z332J2AiIgobwxeu+yC9wshIAYHoYTC8CxbBs/cOTlKRnYo2K17CYCSQW/U6B6s1O+SBGno9+E/GLpfGro/WZAl75OSWVQVylCPmTp0aKMkSVAVBbquY59pYt4c648xeVjkxRDJeU+yxTCy/x4TzW2Z3Zj3i1+0rmcrd3JnyPkuNQ2SomTnvYmIiHIsfvnl57xdxOOQi4uhz2iCOmMGlNJSSLKc43SUawVb2H1ozx5UV1TaHWNMAsAggHBnJwb+vxfsjpO2QGcnzuz5jd0xxsVtmQslr4jFAWFCCgQgeb2Q/AFIHh2SpgOqAug6JFW19pBAApINl5zc6SKnruuzZvEEcSIiyjtCCCAWg1xcDG36dKjTpkKtrbU7FuVYwRZ2UFTARYcjSorCvFnmtsxuzOt7+t8BAP033nTW/cIwAMOA5PdDKS6GVFYK2e+HUlsLdfJk7mkkIiIaxfeLpyBMgcQD90O/9FIo1dU8MqWAuWerkIjczTCgvPsuIEmQy8og+XyA7oHs80LyeCAXF0NpmAQ5FGIRR0REdAFCCOtUnsOHIXk80K+7zu5I5AAs7IhoQgghUuf9SR4P5EAAciQMKRSGXFKM/sZGSP/nDkBREPz8zXbHJSIich2RSEAOBaHPmAH98ssh//h/2B2JHISFHRGdkxDCGnQkHgdUFZKmAZoG2euF5PdDCgQhBf2QfH5Iumad5+b3Qy4qglJWdlavm9HaysNDiIiIxkGYJhCLQfL6IBdFoE6fBs/ixZyOis6JhR1RgUj2qMEwAEWFpCqQhgoxye+3BiKRFatIU1RIugdSwA+ltgZycTEPjyQiIsoREYtBjkSgNzVBnTkDSnk5d47SmFjYEbmYSCQg4glIimxNraEokHw+yMEApGAQcqQIks+b6m2TAgEo1dWQhyagJyIiIvuJ5BEysgylpgaeDy+EMmkS22oaFxZ2RA4hTNP6UhfCGrJfUyH7A1ZhpntSRZvk8QCKjFgkDN/ixVAqKq3HqNZIr45uBJYssTsBERGRrUQiAZgmJK8XcrQCSlkJpGAIfTNnINTSMr4jZNiu0jA5Kex++MMfYt++fZAkCZs2bcKcOZz1nvJX6ty05N63JEWxijJVgaTrkLw+SKGgddx8JAI5FIJcXAQpHIakaVYRd4EiLdbaCn3GjBx8ogn01FN2JyByHLaRRPnJOqomDsnrgVJWbh1FEw5BiZZDnTIFst8/4vFma+v4T3tgu0rDZL2w+93vfoe//OUv2L59O9555x1s2rQJ27dvz/bbEqWMKLRM0xq5UQiraJKGJrRWVYihQxmhyJBk5YOJriVYj5Mk69wzjwcIBiH7fYCqfdBTpqmArAw9TgFUBXKpNRcbZBmSx2MdEklENIRtJJH7CcOwzokLhSAHg1bbX1YKubQMSlUl5HCY56lTTmS9sNu7dy+WLVsGAJgyZQpOnTqFnp4eBIPBbL81ZUAIkc6DPrhMDsiRum3oMYODEAMDVnEkAUP/WAWOYg3SAUUCJOvcsBE9U8nrqUukiiqoCiAlX2PotWUFUsBvDQgiSVaR5fV88HhZgaQq1jlmug4pELCKraHXkFQV0DS83daG8IIFF7X8aAyPP25dbthgbw4ih2AbSeQMIwYYMwUEhFWMybK1raLIkL0+QNcgKQqkYBBSwA85EIRcVgqlttYajCzXp0OwXaVhsl7YdXd3Y9asWanfS0pK0NXVNWaj1d7eflHvq/z1ENSODgDCKjaEGHbdhFRejr/qVu+JkGSM+DM83x+ldPZjRPIP/kLG+iMfffeIxw9dLyrCX87xWCENFUfyUO8TpLNfL/m4Md/4AjcP39OU7OWSJAhZgfB5rSJp6L3F0H3vaDqEIqcemxzcI/cEkEhYP/39wKlT531ka2trDnNdPLflHfzBDwAA7ZdfbnOS9Lht+QLuzFzIMmkjL7Z9zITb1ivmzRIh4K2swCHDsDsJIEsQkIa2f5LbKNKIC9TX4a/AyB3GQ0WaUDXrUlFT21CmLwAR8AGKAqFpgKJCePQPtmPOJxYD/vSnCflY410Xmm1uV12z7g5xU95MvutzPnhKWj1CAJqbm+HxeDJ/ozF6XlpbW7HARb0zzJt9bsvsxrweXQcAV+R22/IF3JfZTQ1srqTTRl50+zhOblyvmDd7WiXJNXldt2wzyWtju1oQy9cmra2taG5uHndxl/UDfqPRKLq7u1O/Hzt2DOXl5dl+WyIiIsdjG0lERBMl64Xd4sWLsXv3bgDAG2+8gWg0ynMHiIiIwDaSiIgmTtYPxZw/fz5mzZqFG264AZIk4f7778/2WxIREbkC20giIpooOTnH7tvf/nbaj02eXxCLxbIVJ2VwcDDr7zGRmDf73JbZdXmTh5i5JLfbli/gzszpnnudr9JtI3PZPo7mtvWKebPLTXndlBXIIK/N7WreL18bJb/rx9NGSsJhLeqZM2dw4MABu2MQEVGOTJs2DaFQyO4Yjsf2kYio8IynjXRcYWeaJnp7e6FpWu7nAiEiopwRQiAejyMQCEDm5L1jYvtIRFQ4MmkjHVfYERERERER0fhwFykREREREZHLsbAjIiIiIiJyORZ2RERERERELsfCjoiIiIiIyOVyMo9drv3whz/Evn37IEkSNm3ahDlz5qTue+mll/Doo49CURRcddVV2LBhw5jPcWLmV155BXfccQemTp0KwBoK9b777nNE3sHBQXzve9/DwYMHsXPnzrSe47S8Tl6+L7/8Mh599FHIsozGxkb84Ac/gCzLjl6Hz5X597//vWOX8TPPPIMdO3ZAlmU0NTXh/vvvhyRJjl2Hz5X3d7/7nWOXb9LWrVvx+uuv46mnnkr7OZR98XgcGzduREdHBxRFwebNm1FXVzfiMT/+8Y/xwgsvQAiBj3zkI7j99tttSpte3meffRZPPPEEZFnGFVdcgW9961uOzXrq1Cn8zd/8DQKBAH70ox/ZkhPIbFvKTplsl9gpk3beiVnP117aKZP2x04XynvNNdegsrISiqIAAB555BFUVFSc/8VEnnnllVfEV77yFSGEEG+//bZYu3btiPtXrFghOjo6hGEYYt26deLgwYNjPseJmV9++WXx9a9/Pac5k8bK+7d/+7fiySefFNddd13az3FaXicv3+XLl4vOzk4hhBBf//rXxW9+8xvHr8PnyuzUZdzX1yduvvlmEYvFhBBC3HTTTaK1tdWx6/D58jp1+SYdPHhQXH/99eLGG29M+zmUGzt37hQPPPCAEEKIF154Qdxxxx0j7j906FBq3UokEmL58uXiyJEjOc+ZNFbevr4+sXTpUnHmzBlhmqZYvXq1OHjwoB1Rx8wqhBB33HGHePzxx237+xUis+0SO2XSztspkzbTLpm0P3bKpP2x01h5ly5dKnp6etJ+vbw7FHPv3r1YtmwZAGDKlCk4deoUenp6AACHDh1CJBJBVVUVZFnG1Vdfjb17917wOU7NbKexlte3vvWt1P3pPsdpee00Vt6dO3eisrISAFBSUoITJ044eh0+X2Y7XSivz+fDtm3boGka+vv70dPTg/Lycseuw+fLa6d0ltWWLVtG9JrYvQ7TB/bu3Yvly5cDABYtWoS2trYR99fW1qZ6kk6dOgVJkhAMBnOeM2msvD6fD7t27UIwGIQkSSgqKsLJkyftiDpmVgD4/ve/jwULFuQ62giFsF1iJze1mYXQ/thpotu+vCvsuru7UVxcnPq9pKQEXV1dAICuri6UlJScdd+FnuPUzADw9ttv47bbbsO6devw29/+1hF5AZyzgbdzGWeSF3D+8j127Bh++9vf4uqrr3b0Ony+zIBzlzEA/OxnP8Py5cvR0tKCuro6R6/D58oLOHf57ty5Ex/+8IdRU1OT9nMod7q7u1PtjizLkCQJsVjsrMd9//vfxyc+8QncfvvtCAQCuY6Zkk7e5HfQW2+9hcOHD2Pu3Lk5zwmML6udMt0usUum7bxdMm0z7ZBp+2OXTNofO6WzfO+//36sW7cOjzzyCMQY04/n5Tl2w421ACbqORMpnfdvaGjA1772NaxYsQKHDh3CzTffjOeffx66rucg4UhuW8b5sHyPHz+O2267Dffff/+IL4QLPSeX0sns9GX8la98BTfffDNuvfXWc+49d9o6PDqvU5fvyZMnsXPnTjz55JM4evRoWs+h7PnVr36FX/3qVyNu27dv34jfz/d/ce+99+LrX/86brrpJsyfPz8nG3QXk/fdd9/Ft7/9bWzduhWapmUtY9LFZHUat+RMyoe8Y7Xzdkmn/bG7x3m4TNofO41evt/4xjewZMkSRCIRbNiwAbt370ZLS8t5n593hV00GkV3d3fq92PHjqW6hUffd/ToUUSjUWiadt7nODVzRUUFVq5cCQCor69HWVkZjh49mpOG9UJ5J/I5EyWT93by8u3p6cGtt96Kb37zm7jyyivTeo4TMzt1GZ88eRIHDx7EwoUL4fV6cdVVV6Gtrc2x6/D58i5YsMCRy/fll1/G+++/j8997nOIxWL461//ih/+8Ie2r8OFas2aNVizZs2I2zZu3Iiuri40NTUhHo9DCDFih0BnZye6u7sxe/ZsRCIRzJ8/H/v378/JupVJXgA4cuQINmzYgIceeggzZszIes6LyeoEmWyX2Mlt3x+ZtJl2ybT9sUsm7c+mTZvsijvmurBq1arU9auuugoHDhy4YGGXd4diLl68GLt37wYAvPHGG4hGo6ku7draWvT09OC9995DIpHAnj17sHjx4gs+x6mZd+3ahZ///OcArMMijh8/fuFRcnKUdyKfM1EyeW8nL98tW7bg85//PK666qq0n+PEzE5dxolEAhs3bkRvby8AYP/+/WhsbHTsOny+vE5dvi0tLXj22WfxzDPP4Mc//jFmzZqFTZs22b4O0wcWL16M5557DgCwZ88eXHbZZSPuf//99/HAAw8gkUjAMAy88cYbaGxstCMqgLHzAsA999yDBx54ALNmzcp1vBHSyeoEmWyX2Mlt3x+ZtJl2yaT9sVMm7Y+dLpT3zJkzuOWWW1KHa//+979PjXR9PpJwW391Gh555BG8+uqrkCQJ999/P/74xz8iFAph+fLl+P3vf49HHnkEAPDRj34Ut9xyyzmf09TU5OjMPT09+Pa3v43Tp08jHo/ja1/7Wk6Pwb5Q3m984xs4cuQIDh48iObmZqxduxaf/OQnbV3G4827dOlSRy7fK6+8EgsXLsQll1ySeuwnPvEJXH/99Y5dh8+X+eMf/7gjl/Hy5cuxc+dO/Nu//RtUVcX06dPx4IMPQpIkx67D58rb29vr2OWb9N577+G73/1uarhpu9dhshiGgXvvvRfvvvsudF3Hli1bUFVVhZ/97Gepv+Wf/vSn+PWvf52a7uBrX/uaY/MWFRVh1apVI4YQ/8IXvoBrr73WcVnnzJmDL3zhCzh9+jSOHj2KqVOn4vbbb8cVV1yR86yZbEvZKZPtEifmvVA777SsF2ov7ZRJ+2OnC+Xdtm0b/uM//gMejwczZ87Efffdd8Hlm5eFHRERERERUSHJu0MxiYiIiIiICg0LOyIiIiIiIpdjYUdERERERORyLOyIiIiIiIhcjoUdERERERGRy7GwIyIiIiIicjkWdkRERERERC7Hwo6IiIiIiMjlVLsDjGaaJnp7e6Fpmu0z1xMRUfYIIRCPxxEIBCDL3M84FraPRESFI5M20nGFXW9vLw4cOGB3DCIiypFp06YhFArZHcPx2D4SERWe8bSRjivsNE0DYH0IXdez9j7t7e1obm7O2utnixtzuzEz4M7crs585ZXWDS++aG+gNLl6WTtELBbDgQMHUt/7dGG5ah/H4rT1aCxuywu4LzPzZtmVVyIWj0N/5RW7k6TNbcvYiXkzaSMdV9glDy/RdR0ejyer75Xt188WN+Z2Y2bAnbldm7mrK/mLvWHGwbXL2mF4WGF6ctk+jsXu9x8vt+UF3JeZebOoqwuIxdyVGS5bxnBu3vG0kTypgYiIiIiIyOVY2BEREREREbkcCzsiIiIiIiKXc9w5dkROYBgGTp48iUOHDtkdZVxOnTrl2sxVhgEA6HRJfjcv64uRHH5ZCIHy8nJEIpEJSkdEbtXX15fV70PDMGAMtRFCiNQ5R0IIANY5SMnryd+HX5ckCZFIBCUlJVnLSOQELOyIziEej6OnpwdHjx61O8q49Pb2ujZz4ktfAgAcd0l+Ny/rTJimiXA4jFAohGg0Ck3ToCjKBCckIicxDANCCAghYBgGBgcHEYvFUrcbhgHTNDE4OIgzZ85AluVUIQXgrOvnuu18z0n+rigKNE2Dx+NJPXb468mynJrja/R9eeOBB9D57rtosDsHOR4LOyJyhOOf/KTdEegckgVddXU1wuGw3XGIaJThhVfyMhaLIRaLYXBwEIZhIB6PI5FIpAqx5HOGP/9cvyd/hveIjS6iACCRSGDmzJk5/uQF5AtfwPHWVhZ2NCYWdkREdBYhBDRNQ01NDcrKyvJvDziRAyQLsWRRFovFEI/H0dvbi87OzlQhFo/HR1wf/bxk0WWa5oierIv5ux3ea0ZE7sDCjogcYcp3vgMAeOfhh21OQkIIRCIRTJ48GarKZoLy3+geKtM0kUgkkEgkRtye7PkyTXPE8wCkesKG33euxyQSCQwODqYeN/zxyWLq5MmTOHz4cFrZhxdgyd40yjOf+QwmnzwJ/K//ZXcScji22ETkCP633rI7AsHayKysrER9fb3dUaiA9Pf34/Tp02cVR8CFDxUc/vvw66Zppl7j6NGj2Ldv34hDEIefH5Z83nDDB+VIykUP1ujC0i1GLz+aYG1t8MdidqcgF2BhR0REAKyirq6uDlVVVXZHoQKjKAoCgcCI87dGF1GZFlVnzpxBU1PTRWfMpddffx3z5s2b8NcVpgkhrB+Ywrpumoj198AY6IOZsA7zFObQIZ6GYT1WCAyVzgAEhGHCNBKAacBMJNB79AD+tKcfkCQIAciKDEka6j2Uhv4Z3rOoqIAkJe8cuj7s4cNui9RMRqiqYcKXBVE+YmFHRERQVRX19fUcDpxsoes6dF3PymurqgqPx5OV184WRVGgyhISg32I9/cg1tsDI9aPRH8vTCMBMx6DaRgQZgKJwX6YhgEMFWnCFBDCKrggTAgIqzBLJGAmizQhICHZ0yYAAUiKYhVfkFLFWNrFtBnH5KWfyd4CIaK0sLAjIipgQgjouo7p06fD6/XaHYfI1YQQMBPxoYKsF8IwEB/oQ7yvB2ZsAKYRhxGPQZgmIMxUcWYmEkgM9sGIxWDGB9Hd0YH9B1+AMAxIsgxZUQDp4gZDgSRBljhFCVE+Y2FHRFSghBAoLi5GY2Mj56QjOgfTNBDv6xnqNTuNeN8ZxHrPQCTiEObQ1AGGASM2ACM+iHh/L4z4IGAkAFmxjkCUFcjyOP6+hg5ZVFQNULXsfTgiyjss7IjIEU4vXGh3hIIihEBJSQmmTJlidxSirBJGAoNnTsCID8KIxzF46v2h3rEBJAb6YRqJoV6zOIxE3DrPzDRhxmMw4oMQhmEVW0p6BRoLMppw116LM93dcNcBxWQHFnZE5Ah/ue8+uyMUjGRRN3nyZLujEI2LaVq9Y7Ge09bhjWYCZiwGIzEIY3AARiIGkTCGCrdBJAb7cPxPB/HHA6XWYYySBFnV0j6kUVZUQOGmEtns5z/HX1pbUWZ3DnK8Mb+t+vv7sXHjRhw/fhyDg4O4/fbb0dTUhLvuuguGYaC8vBwPP/wwdF3Hrl27sG3bNsiyjLVr12LNmjWIx+PYuHEjOjo6oCgKNm/ejLq6ulx8NiIiGsU0TZSVlaGxsZGTD5MtTCOBxEAfhGFg8MwJDJw5AWEkrF6yRBymkYARG4QwrduMeAyJgX4kYn0wYzFrUBBYg30ki7ULr8sSVA/PHyWi/DdmYbdnzx40Nzfj1ltvxeHDh/GlL30J8+fPx/r167FixQo8+uij2LFjB1atWoXHH38cO3bsgKZpWL16NZYvX449e/YgHA5j69atePHFF7F161Y89thjufhsROQi0V/+EgBwbP16m5PkLyEEotEoJk2axKJuArh1x6cwTRxu+98QZnKetGFzkImRl8kRFU1hQpgGJAGc+vOf8KeeQxCmgIShIfOFAIaGyDcTCWuI/GGSA4qYiQSEaQDCel1Z1SApKtJdHSUJULTRmy7Wa13gEwOj8jifyzJzHrvseuwxRA8dAhYssDsJOdyYhd3KlStT1zs7O1FRUYFXXnkFDz74IABg6dKleOKJJ9DY2IjZs2cjFAoBAObPn4+2tjbs3bsXq1atAgAsWrQImzZtysbnICKXq3j6aQAs7LLBNE34fD6UlpaioaHB7jh5w607PiVZRu2lSzN+/nF/Kya7aAMz1tqK2S7KC7gv8zv/198Dv/lbu2OkrbLjMHCmxu4Y6dvyD6gyEsAnIxPzekYMEAbgKwN8JYCqA5IMQAYUzboeKAfqF0/M+1HOpH3g+A033IAjR47gJz/5Cb74xS+m5pspLS1FV1cXuru7R8x/VFJSctbtsmwN1RuLxbI2Xw0REX1ACIFwOIxp06bhtddesztOXuGOT6Ikd/UwSi7L+0EX+kVkNhOA6gPKZwKlU4Gy6VYRR3kl7cLu6aefxptvvonvfOc7QxNaWsR5ut/He/to7e3t6UbLWGtra9bfIxvcmNttmRND53B0dnbanGT83Jp5pmGkrruF07Mme+oApIo6t/0tukGud3zmon0ci9vWI7flBdyVuQhAR2eH3THGxU15o0Pt47gyCwHJjCOhhREL1GLQX4V+/zSgXwXeGwTe+0OW0n7ATesw4L685zJmYdfe3o7S0lJUVVVhxowZMAwDgUAAAwMD8Hq9OHr0KKLRKKLRKLq7u1PPO3bsGObNm4doNIquri40NTUhHo+nJsMdS3NzMzye7A3s2traigUuOswhyY253Zh5YGAAR44cQVVVld1RxqWzs9O1mZPzqLklv9OXtWmaZ51P57S/xcHBQUcUKRcr1zs+s90+jsVp69FY3JYXcF/mdzr+H1RXVdsdI20dnR2uygtFQcIwLpxZCMCMAYoHiEwCIrVAxVzrkEobzql22zrsxLyZtJHyWA949dVX8cQTTwAAuru70dfXh0WLFmH37t0AgOeffx5LlizB3LlzsX//fpw+fRq9vb1oa2vDpZdeisWLF+O5554DYJ2PcNlll433cxER0TgIIdDY2IiGhgYOkpJF7e3tqV7b0Ts+AVxwx2fy9q6uLgAY145PIipwZgKI91mHZvpKrMMq6y4HLvkycPV9wPwvAlOWA8GoLUUd2WfMHrsbbrgB99xzD9avX4+BgQF873vfQ3NzM+6++25s374d1dXVWLVqFTRNw5133olbbrkFkiRhw4YNCIVCWLlyJV566SWsW7cOuq5jy5YtufhcROQyQuVcURdLCAGPx4NJkyYhEpmgk+zpvF599VUcPnwY99xzT2rH55IlS7B79258+tOfHrHj895778Xp06ehKAra2tqwadMm9PT04LnnnsOSJUu445OIzs1MAIoMQACBKOAtsnrkyqYD3gjPk6MRxtyS8nq92Lp161m3P/nkk2fd1tLSgpaWlhG3JYdwJiK6kPadO+2O4GqmaaKkpARTpkxhL12OcMcnEU0oIQBjAFC8Vm9bpB4oagDe+gb2/fdfseDSS+1OSA7HXeRERC4nhEBFRQXq6+tZ1OUQd3wSUcaEABIDgOYDQtVWb1yw0irmgpWAPOpsKemQPTnJVVjYEZEj+N98EwDQN2OGzUncxTRN1NTUoKbGRXMyEREVAmFac8ZBAIpuTTfgLQI8YasnrngyEKoa+zy41larjXTY4B7kPCzsiMgRptx9NwBg/65dNidxD0mSUF1djepqF43uRkTkVkIAZtya3FtSrB/NZ/0oHkD1AnrQ+t0TAfTA0CTgxdbto3vh0vXZz2JyLAbceOPEfh7KOyzsiIhcSFEUTJ06FcFg0O4oRETZd9Z0IGLUfWLkdWFaP8neMFm1CjFFhylpgOa37pNkQNasS0m2etYUfeh21fpRfYCiWsVZIAroIatYU3SOOkmOwsKOiMhFhBDQNA1Tp05FIBCwOw4REf7iCWMg4MvouUKSUwXWB6WaZP1IEoQkjSqeZAhp2GMAQFYgAAhZsW6TVZiKBlPxQsgyhCTDVD1DvWwS/iS/g8mTp2SUF4Nd1s+ZzJ6eiUuMQSREAm0dL+XuTS/Sn/reQaxj0O4YaZuIvEII9Cb6oEoKPKoHV1Qtyvl57yzsiIhcwjRNhMNhNDY22jpBNRHRcO95/TgScsqw+wJAHDDigNF3zkcciR+BdCrDwyJtMNtMwBAG/nzqz3ZHSZvblvHF5E2IBEq9pagN1uGSivnwqZnt5JgILOyIiFyA0xkQERE5R8JMoMgTwZU1S1DiK7U7DgAWdkREjieEQGVlJWpra1nUERER2cgQBiKeMBZWfBhVQWcNXsbCjogc4U8/+IHdERxJCIGqqirU1tbaHYWIiGzw261fw/HuLrtjEABTGJhTNhdzyuc4ckcrCzsicoTe2bPtjuBI1dXVnKOOiKiAHZ/7IXR2+lFld5ACJoSAJEtYVv9RVAYq7Y5zXizsiIgcRggBXdcxbdo0+Hz2nYRNRERU6AxhoC5Ui0ui8xHxFNkd54JY2BGRI8xauxYA8MYzz9icxF5CCASDQUyfPh1yppPZEhFR3lj5ybuRSCTw/H9ttTtKwZEkCZdXXoGpxVPtjpIWFnZE5AjywIDdEWwnhEAoFMK0adNY1BEREQBA7R+EZBh2xyg4mqziYw0rEPaE7Y6SNm45EBE5gGmaCIVC+NCHPsSijoiIyE4ScHXtR1xV1AHsyiggKgAAIABJREFUsSMisp1pmohGo2hoaLA7ChERUcESQsCv+XFVzdUo9TtjbrrxYGFHRGQjIQRqamo48iUREZGNhBCIeMJYNumj8Kpeu+NkhIUdEZENhBDQNA1TpkxBKBSyOw4REVFBEkLAFCZqQ7W4rOpy1xZ1AAs7InKIrtWr7Y6QM0II+Hw+NDU1QVX5NUxEROd3cN0ynDl92u4YeUkIAY/qwYdDl+PquqvtjnPRuEVBRI5w5Oab7Y6QM7quY/r06SzqiIhoTG/e8gl0dnZwgvIJJoSAV/PiYw0teOsPb9kdZ0Jwq4KIKEeEEJBlGdOnT4emaXbHISIiKlgeRcfKhpXwaX67o0wYFnZE5Aj1mzcDAP763e/anCQ7TNNEcXExGhoaWNQREVHaFj7wBPr6evHGQ1+3O0peMIWJIk8EV9V+JK+KOoCFHRE5RGTvXrsjZEWyl27y5MkoKyuzOw4REblM1Yt/gGEYeMPuIHnAEAbqQ5OwuGYxVDn/yqD8+0RERA6RHPly5syZ0HXd7jhEREQFSQgBn+bDkpolKPdH7Y6TNSzsiIiyQAgBj8eD6dOns6gjIiKyiSlMVPijuLJmSd4dejkaCzsiogkmhEB5eTnq6+shy7LdcYiIiAqSYRqoCdVgad01kCTJ7jhZl1Zh99BDD6G1tRWJRAJf/epXMXv2bNx1110wDAPl5eV4+OGHoes6du3ahW3btkGWZaxduxZr1qxBPB7Hxo0b0dHRAUVRsHnzZtTV1WX7cxER5ZwQApIkYcqUKSgpKbE7DuUA20ciIoeSgNnlczAvOs/uJDkzZmH38ssv4+DBg9i+fTtOnDiB6667DldccQXWr1+PFStW4NFHH8WOHTuwatUqPP7449ixYwc0TcPq1auxfPly7NmzB+FwGFu3bsWLL76IrVu34rHHHsvFZyMiF+mfMsXuCBdFCIGioiLU19fD4/HYHYdygO0jEeXCqam1GBgYsDuGawghEPGEsbhmCYq9xXbHyakxC7uFCxdizpw5AIBwOIz+/n78/+zde3xc9X3n/9c5Z2Z0HV0t2ZItY/kCJpYx2FyCzaU0cWrY5Fdnl6tLUrKEtD8oLSkpdRw2hKYJLsQ0j2zYX25rlkeatqReHvvjt5sFHtmHuwvFIRu5pZh0wSHhEiTbkq+6zpxzvt/fH2ck3y3J1ujMkd7Px0OMfObMzHuG0Xznc76X88orr/Dwww8DcN1117F161ba29tZvnw52WwWgJUrV7Jz50527NjB+vXrAVi9ejWbNm0q1nMRkQT7xV/+ZdwRzoq1llQqxfz582lsbIw7jkwhtY8iMhX+5//zOZ2gfJxCGzK3ei6rW9dQniqPO86UG3Pyh+d5VFZGEw23bdvGNddcw9DQ0OhiAI2NjfT09NDb23vc0KOGhoaTtruui+M45PP5YjwXEZEpY60Fos/A5cuXq6ibgdQ+ioiUDgf4YMuV/Ob8D83Iog4msHjKj3/8Y7Zt28bWrVv5yEc+Mrp95MvNiSa6/US7du0ab7Sz1tnZWfTHKIYk5k5a5iAIAOju7o45ycQlNfPc//k/AXj/2mtjTjM2YwwVFRUYYzh48CAHDx6MO9K4Je1vMQmmY/s4lqS9j5KWF5KXubu7K+4IE5KkvEv/xz9SC/yfD8WdZGKm6jW21uLgsqJqBUcGj9DJ2f3tJO1v7lTGVdi9+OKLfOtb3+J73/se2WyWyspKhoeHKS8vZ+/evTQ3N9Pc3Exvb+/obfbt28fFF19Mc3MzPT09LF26FN/3sdaOa+nvjo6Oos5T6ezsZNWqVUW7/2JJYu4kZh4eHmbPnj20tCRr4EN3d3diMy/7678GwNx6a8yJziyVSrFgwQLeeuutxL2vS+1vMZfLlUSRci6mY/s4llJ7H40laXkheZlf/1+v0dLSGneMcevu7kpU3mv/06OEYcjh2/9V3FHGbapeY2st2UyW31qwjrLU2X8uluLf3Nm0kWMOxezr6+PRRx/l29/+NnV1dUA0F+D5558H4IUXXuDqq69mxYoVvPbaaxw5coSBgQF27tzJpZdeypo1a3juuecA2L59O1dcccVEn5eISOystVRWVnL++eePfhbKzKb2UUQkPqEN8VyX3zzvQ+dU1E0nY/bY/ehHP+LgwYPcd999o9s2b97Mgw8+yNNPP01rayvr168nnU5z//33c+edd+I4Dvfccw/ZbJYbbriBl19+mdtuu41MJsPmzZuL+oRERCbTSC/KnDlzmD17dtxxpISofRQRiUdoAi5sXMYlsy/Bc7y445SMMQu7W265hVtuueWk7U8++eRJ29atW8e6deuO2zZybh4RkaQxxtDQ0MCCBQtIpcY9JVlmCLWPIiJxsKycvYplszriDlJy9E1FROQEIycaP++889RLJyIiUiKMNXyw9UoW1y2OO0pJUmEnInIMay2NjY20tbWRTqfjjiMiIiJAYAJWzV6lou4MVNiJSEn4+V/9VayPb62lrKyM9vb20RNJi4iIxO2//+evsHdvNw1j7zotWWtxHZfLWy5nacOFcccpaSrsRKQkhDU1sT22MYba2loWLVqkuXQiIlJS/NoqcoOVcceITdpL81vnraO2vDbuKCVP32BEpCSk9+4FwJ/COW0jJxpva2vTKQxERKQkVezZT3XPIUjQufcmg7WW8nQ51879DRV146TCTkRKwtK77gLgtWefLfpjGWPIZDLMnTuXWbNm4ThO0R9TRETkbKy9/cuEYch/2/7v444yZUIbcF5NOx9s+SAZLxN3nMRQYSciM4a1Fmstzc3NzJ8/H9d1444kIiIixwhtyKLaJayeuzruKImjwk5EZgRjDNlslkWLFpHJ6OifiIhIqQlNSHttO1e2Xhl3lERSYSci01oYhmSzWebOnUttrcboi4iIlCJjQzpmdXDJ7JVxR0ksFXYiMi0ZY6ivr6e1tZWqqqq444iIiMhpuI7DB1uvYmHtwrijJJoKOxGZVowxlJeXM3v2bGZP4QqbIiIiMjHGGrKZaj503lqq09Vxx0k8FXYiUhLeu//+c7r9SEE3b9486uvrtdKliIhMC52f/wQHDx6IO8akC21Aa1UrV8+7VitfThIVdiJSEg5de+2E9rfWjp6Hrrq6mlmzZlET40nORUREiuH9D62iu7uLlriDTBJrLa7jcNmcy1nacGHccaYVFXYikijWWhzHobGxkdmzZ2v+nIiISEIEJqCtpo1Lmy8jW5aNO860o8JORErC+b//+wC8+a1vnfL6MAzJZDI0NDTQ2tpKOp2eyngiIiKx+NAdXyGXy/HS3/xZ3FHOieM4rJp9KctmLYs7yrSlwk5ESkJZV9dJ24wxpNNpstks9fX11NfX66TiIiIyo1T9uofyMIw7xlkLTUB9eT1Xzb2GuvK6uONMayrsRKTkWGtJp9M0NjYyb948LYQiIiKSQBbLZS1XcEH9BWrLp4AKOxGJlbWWsHAkcmTuXGVlJc3NzWoEREREEiiwIW3ZeVzUtILaMvXSTRUVdiIypYwxeJ5HeXk5FRUVDAwMsGLFCjKZDA7Q3t4ed0QRERE5C6ENqSur45KqS7h63sRWu5Zzp8JORIrKGIO1lrKyMurr66murj5urtzBgwcpLy+POaWIiIici8AELKk/nw+2fJCdh3bGHWdGUmEnIpNq5PxynudRVVVFY2MjNTU1lJWVnXlo5Y03Tl1IERGRhHjvI5czMNAfd4zTstZSkapgxZyLWFi3WNMoYqTCTkTGzVo7+pNKpfA8j0wmQyaTAaI5cuXl5dTV1VFZWTmxD/evfa1IqUVERJLrHx/YUJInKLfWEtiAxXWLuWzO5WS8TNyRZjwVdiIy2ssG4LounufheR6pVArHcUilUmQyGSorK/E8j8rKSsrLy3VUTkREZAYy1lCTyXJl6xqaKpvijiMFKuxETmOkZyruxx0rg+M4owXWyL6u645uG7ne8zxc1x3taRsp4EYuKyoqqKysJJ1Ox1OwPfRQdPnww1P/2CIiIiVq+b//z7T39/Grz98RdxQAjA1ZWLuIy+dcQcpTKVFKxvV/48033+Tuu+/mjjvu4Pbbb6e7u5sHHniAMAxpamriscceI5PJ8Oyzz/LUU0/hui4333wzN910E77vs3HjRrq6uvA8j0ceeYS2trZiPy+RCbPWYvw8JvAJBvtJ7XsDx+kDa+HYQmfk39ZigZNKoGMKLRwHXAdwcFyvUGS5WIdCsZUC1zvmpg4NCy6gqm7WccXZ8XfvjP64rju6n+u67Ny5k0svvXSyX5qp8dRT0aUKOxERkVHt/++LhGEYe2FnraWmrIbVLWtorGyMNYuc2piF3eDgIF/+8pe58sorR7d94xvfYMOGDVx//fU8/vjjbNu2jfXr1/PEE0+wbds20uk0N954I2vXrmX79u3U1NSwZcsWXnrpJbZs2cLXv/71oj4pkREmDDCBz/CR/Qwf6sWEhjA3SJDP4Q8cIcgNEQwPEOaGscZgrAFrCYYHqZ+/jI4rr8XxXBzHjQo2okLNdVNR0eZQ2Obi4OAUVnqMi4ZGikwtHfgUkZkgtCEtVS1cM+9azaUrYWMWdplMhu9+97t897vfHd32yiuv8HDhqPp1113H1q1baW9vZ/ny5WSzWQBWrlzJzp072bFjB+vXrwdg9erVbNq0qRjPQ2aQMJ8j13eQ/p4uwtxgdILr3BDWGMLAJ8wP4Q/2E+ZzhPkc1hbmjqXOMMTQcXA8D4+o98waQ6qyjvLahql6WiKSMDrwKSIzgQMsn3URK5pW6AByiRuzsEulUqRSx+82NDQ0ugpeY2MjPT099Pb20tBw9EtwQ0PDSdtHhozl8/nR24ucTjA8SN+edxk6uA9/qJ98/2Fy/YcIcsNgDG46M+YHjJvS2G8RKQ4d+BSR6Sy0AXOr53Fx08U0VGjoZRKc87fe0y3sMNHtJ9q1a9dZZxqvzs7Ooj9GMSQx96kyWxPiH+ohzA9ickPY3BDBUB/Wz2P8YUx+OOpJO2YO2lQxfo6G+dPntS51nZ2ddOTzAOxKUP6kvtYyOeI68DkV7eNYkvY+SlpeSF7m7u6uuCNMSJLyhmEITF1may1pN8PCskXUDtXxq563+RVvT/h+kvYeTlreUzmrwq6yspLh4WHKy8vZu3cvzc3NNDc309vbO7rPvn37uPjii2lubqanp4elS5fi+z7W2nH11nV0dFBWVnY28cals7OTVatWFe3+iyVpuYP8MK/8j//O4rYWgtxQ1PM20EcwPIA/NEDaWhwvWlKfFJAtB8qBmnhz54bJQ6Jea0je+wOOyTxvHpCc1zzRr3WJyOVyJVGkFEuxDnwWu30cS6m9j8aStLyQvMyv/6/XaGlpjTvGuHV3dyUqb9BcTz7vT1Fmy4Kadi6dfRmZ1NmPrkvae7gU855NG3lWhd3q1at5/vnn+e3f/m1eeOEFrr76alasWMGDDz7IkSNH8DyPnTt3smnTJvr7+3nuuee4+uqr2b59O1dcccXZPKQkgDWGQ+++yWBvF/7QAAMH9uAP9tO3Zw/7+k9eEMDVErlyrJ/+NO4EIudsKg58isjM8vzTf1b0E5SHNqS+rJ6r511NbVldER9JimnMb9a7du3iL/7iL3j//fdJpVI8//zzfO1rX2Pjxo08/fTTtLa2sn79etLpNPfffz933nknjuNwzz33kM1mueGGG3j55Ze57bbbyGQybN68eSqelxRZGOQ5/Otf4g8eIdd3iHzfQYYO9WJ8/7h5bV4qHctQShGROOjAp4gkSWB8miqbWD7rIuZltSpv0o1Z2HV0dPD973//pO1PPvnkSdvWrVvHunXrjts2soSzJJe1loHebvq63ybfd4DhIwcYPnQAHAfXO75o02IlctZ+/OPo8sMfjjeHyDjpwKeITIXZL+8ifWA//kcnbyhmNI8uxZq2q5ifna/VLqcJfQuXUX5hFcrckYPkDvcSBnmMnyfXf5hgePC40wWogJNJ9+lPR5dvvx1rDJHx0oFPEZkKV3zxe4RhyH/76LXnfF+hDalIldNeu5APNHyAinTlJCSUUqFv5zOEtZYwP8zQwR78wT5y/YfI9x/BBHmM7xPkhxg+cgAA9xRDJ7205n2IiIiIJI21FoulubKZRbULaa9bhOu4cceSIlBhN80YEzJ8eD+DPd34w/34A0eiYm6oPzr/mwOum8JxT/6DPlVBJyIiIiLJE5iA2VXNNFU0s7huCTVl8a44LsWnwi6BrLWEfo7+Pe8xuL8bf7CP/GAfwfAQ/mAfYeDjneLk3ep1ExEREZm+jDW4wNzsPC5uvkQrXM4wKuxKlLWW/GAfh955k3z/IfzBPvyhfva/tZvXfvEP2DAAxz1prpvjuqQy8Z3fSERERESmVmhCUl6KhTWLuGzOZaS9dNyRJAYq7GJijcGakPxQPwN73yPIDZEfOII/0Efo5/GH+sgP9B23YAmADQMc18Vx1fsmIiIiMpMFxmd21RwW1y7mvNoFpFx9tZ/J9H//LJkwwIQBGIMJA8J8jlz/IUwYEgwPYvwcJvAJAx8b+IR+njA/TJAbwgQ+/lA/EBVqbjqDc4pJrBo6KTPKc8/FnUBERKTk/P13HqCnZx9lRCO6fJOnLFXOnMrZrGi6hIaKhrgjSolQYTcBR97/JUe6foW1FgfAdQCn8LuLlynHcRwcL4WbzuCmM5P+Ah9Kv8HspRdM8r0WV7EzW2sxvsEaSxiEBPkQG1pMaKOeUQvRf8CYwm2MAWPBgrEWE0S/F/4Dxufgbp+3vHdGH8cBcJzCL0fVtmZpPK++aM9vxli6NO4EIiIiJcNaS2hDDi6YzXBVFYuy86gvq6e1ei4N5Q0695ycRIXdBNTMXUjN3IWxZnhvAJqXroo1w0SdLrO1FhMYQt8QBiG5vhz5wQB/2Cf0DfmBPCYwGBPtYwODMRYTGjBgwujfo4WdtUA6qr0KBdhxH3rH/jrGh2GQC6hb4rNozXmT9CrImPL56DKjnmoREZmZQhNQU1ZDY/ksastqaaxopDlVzz/3/TMr530w7nhS4lTYyVmx1hLkQ4xvCP2Q3GCe/IBPmA/BWvxcGBVi1rB/9xHePPJL/FyAyYdRD5lvCPIBJrCjPWqu5+C40c9EOICX1vlYEu/886NLnaBcRERmiNCGeI5LXXk9NZla5mfn05ZtO/4A9IIFLMvnoasrvqCSCCrs5CTWWvwhn/yQT67fJ9efi/7d75Mf9vEHffyhIOo5s1GPmeu5OJ5zyp6w4Z4cR9J9J213HAcvrWEEIiIiMj2NDKc0NiTlpUk5KTzHpTxVTn15PU0VzbTXLiTjabSKnDsVdjNANPfMkB/IMXR4mP6eQfJDARSGMYZ+SJgPR4c5BrmQIBcUTmZe6EU7oWBzXPBOcZJzERERkZng2KLNcVw8xyObqaYiVUlFqoLyVDnV6WqymSxV6Wpqy2pxT7FYnshkUWGXUNZYcgN5Bg8OkR/0Cf0QGxrC0BLmQ/IDeYJcWBgeGYzORXM9B9cb+0MllfGm4FmIiIiIlA5jDaENsdbgOR6e61GeKiftZEh5KSpSlVQWijbPSVFbVkNVuprKdCUpN4Xn6PuTxEeFXQnKD/oc7jqCPxzgD/n4w0HUoxYa9r61n1ff+zn5wTzGN1Fv2mmGQI5wPAfP05BHERERmXwp61Fmp6agsSaaBuJYGxVe6TK8TCZao7zwXcgh+l7k4OA6Lp6TwnNdUq6Hi4fttSyqW4wDlHllUS+a4+DikvHSVKezVKTKyWZq8FwVapIcKuymkD/kM3RkmFxfnvxgnvxgQOgHBLmQXH8eGxaW6x8OcFPuKRcRCQYN/pAfzU9Tr5qIiIhMAWst5HKYwUHCri7MkT7wfWwYsuLVXuaXlUfzNFyI5nI44Lg4nhttH/1KUzhVlAN43uipowpLWkc/hdviONHtvVT0nSiVwikrh5RXeCyH9Pzz8FpbJvRc0t0ZVrUka4VxkfFQYTcJTBgtzT+wf4jh/hzBcECQCwh9WzhheUB+KFpwBAoLjZxh5UcVbDIjfeELcScQEZlRrDHY4WFMXx/mwEFsfx+2fwDT34cdGoYgwAZBtFDawADmyGFsaHDSaRzvmO8q+RzZz342vicy3X3hC+x55x10AiYZiwq7Y1hro4VG8mF0bjU/JPRDBg4OYQODPxQVaEEu6mUbGR4ZnRDb4Iwxf01L8oucwV13xZ1ARGTasEGA6esjeOcdzL59mIEB7JE+bC6HHRoCY6KiLQggNJA5oVg7BSedwUlP0ROQo+66i97OThV2MqZpW9gdePcQh98/Ep3Y2lqwYDl62fPLQ/zL/t2YwACFk2WH9rj7cBwH1zt5yKPjOqQrUqQrpv7lywykqG6qmvLHPRdJzBzmfIa6Xif/xhtxR5kQ7513yVdXxx1jQoqa2VhsPg++D9ZAEI5+DqTOO4/U3NbiPK6IyBSwxmAHB7H5fDQ88uAhwp5e7MEDhAcOYHM5nEzmtAWb47qQ0TL7ItPFtC3sGubX0TC/7rTX99cc4sJVS6Yw0eQY6DzM0lWL444xIUnMHB44yC8e/CZD7/wy7igTUtHdzdDu3XHHmJCRzBV//QMAhjb8ztnfmbXYIMBraMCbPRt3zmzchkacmhqclAeZDG4mA66LU1ExSc9ARKQ4RnvdfvmraJhkLof1/ajnrb8f09+PHRrCGotzQo+bo8+56ePWW2k/cABeeCHuJFLipm1hJ3LOPA8nlbA/kQRnTr33HsCE89swhCDAbW4m09FB6gMX4tXUFCOpiEhR2FyOsHc/4b59hO++S/nrr9P3059GC5SEIWQyp1392ikrQ+teT3M/+QlV+XzcKSQBEvYNUERmOmst+D5OVRVe82xSSxaTOn8JXjYbdzQRkTFZa7GDg/i7f4HZs4dw3z5M9x5sGESrPnoeqf37sWVl0YGupB2sE5HY6NNCREqaNQbyeZzKStzZzaRaW0ktXIjX1nbG8zeKiMTN5vME775LuHcvpnc/5tAhzOHD2P7+0SIOgJQXDRcXETkHKuxEpLQEAU51NU51Nd6c2bizmvDmtuI1N0cT/UVESogNQ+zQEME77xB2dWGHh7G5PLa/n3D//miEQfr4pSSdsrKY0orIdKbCTkSmnLUWm8vhVlZiqirxFrZHc0hcl6p7/wCvsjLuiCIio8zgIObgQUx/P2ZfD+bQQWxosEODmD17o9MHnGKOswOQ1vkBRGRqqLATkaKyNjrlgON5eLMacWpq8VrmkFq0CG/OHAZ37qRq1Sp45hkAFXUiEgubyxF2dUVz3g4cjAq5vr6oB25gINrpNAtUqQdOiurqq+nfvx+9y2QsU1LYffWrX+XVV1/FcRw2bdrERRddNBUPKyIxsCPz4WprcGvr8ObMxlu4EG/WrDOf/Pb735+6kCIlRG3k1LBhCL6P6e/Hf+NNzOFD2IFBbH8fpq//aPGWTp80f1eFm8Tq+9/n7c5OGuPOISWv6IXdT3/6U9555x2efvpp3nrrLTZt2sTTTz9d7IcVkUlmrYUgwAYhjudCKo1bXYVTXoZTWRWdK668nPTCdrz587Wwicg4qI2cfDafJ3jv14TvvYfN5Sjv/Bl9nTsxhw9DGICxpzx9gKMTdYtIwhW9sNuxYwcf/vCHAVi0aBGHDx+mv7+f6urqYj+0iJyBNQaCAIwB142OUpeV4VZWRr9nMjjVVdGXnVQat6oSd1YTbkM9bnV1tKLbZBZvTzwRXd5zz+Tdp0iJUxs5MSOnCiAICLq6Mb092FwO09Mbnag7l8McOQLGjBZqqf0HsGXl0eJLroo3SaAnnqDp3Xdh1aq4k0iJK3ph19vby7Jly0b/3dDQQE9PjxotKX25HGZo6Jzu4qTCx3HA2ujScaKZ9baw/ehOx10cd53r4mTS4HrRfadTOF50niMnnSbw83hz50bnPUp50dBH1432L8tE+7oOTiqNU1GOW1cHFRV4NTU4FRXn9FzP2WOPRZcq7GQGmQltpB0awv/1ryEIwUanL7G5HNb3sXk/OsAUhth8HgIfQoMNCteFIWZ4CPJ+dJtctI81Nlpp8gynCLAjn9+T8Fk+5RKW2TFh3BGmt8ceY3Y+D3/xF3EnkRI35YunWGvHtd+uXbuKnAQ6OzuL/hjFkMTcictsDM5tt/LLc7kP1z1awJ2iWLOOE+1T+Pdxlxzd7+h9jMMF5/N/xpsvDGH//vHuXVSdnZ105PMA7ErQeyVx72uSmXkmGU8bORXt41gm9D7K5/F6e4HoYJb1PCgcdLKeB+lU9FNevHls5/RZHpNEZU6lE/fZkqS8I+1jkjKD8sah6IVdc3Mzvb29o//et28fTU1NY96uo6ODsiJOVu7s7GRVAru0k5g7iZkhmbkTnbkwbCop+RP9WpeIXC5XEkVKnM6mjSx2+ziWUnsfjSVpeSF5mZW3yDIZcvl8ojIn7TUuxbxn00YW/Wy/a9as4fnnnwfg9ddfp7m5eVoNMRERETlbaiNFRGSyFL3HbuXKlSxbtoxbb70Vx3F46KGHiv2QIiIiiaA2UkREJsuUzLH73Oc+N+59R+YX5AvjiYspl8sV/TGKIYm5k5gZkpk7sZlHhp8lKH9iX+sSMfI5P96519PVeNvIqWwfx1JK76PxSFpeSF5m5S2ipibyvp+o9hES9hpTennPpo10bIm1qH19fbz55ptxxxARkSly/vnnk81m445R8tQ+iojMPBNpI0uusDPGMDAwQDqd1gmORUSmMWstvu9TVVWF6xZ9ynfiqX0UEZk5zqaNLLnCTkRERERERCZGh0hFREREREQSToWdiIiIiIhIwqmwExERERERSTgVdiIiIiIiIgmnwk5ERERERCThpuQE5aXA9302btxIV1cXnufxyCOP0NbWdtw+3/zmN3nxxRex1vIbv/Eb3H333TGljYwn849+9CO2bt2K67pceeWVfPazn40p7VHjyX348GH++I//mKqqKr7xjW/ElDTy1a9+lVeYCqx0AAAgAElEQVRffRXHcdi0aRMXXXTR6HUvv/wyjz/+OJ7ncc0113DPPffEmPSoM2XO5XJ88YtfZPfu3TzzzDMxpjzZmXL/5Cc/4fHHH8d1Xdrb2/nKV75SEkvgnynzD3/4Q7Zt24bruixdupSHHnqoZJahP1PuEVu2bOGf/umf+P73vx9DQkmKpLWfSWs7k9Rmqr0svqS1k0lsI6d1+2hniGeeecZ+6UtfstZa++KLL9o/+qM/Ou769957z957773WWmuDILBr1661e/bsmfKcxxor8+DgoL3uuutsX1+fNcbYG2+80e7evTuOqMcZK7e11v7RH/2RfeKJJ0Zf87i88sor9jOf+Yy11tpf/OIX9uabbz7u+uuvv952dXXZMAztbbfdVhKv71iZ/+zP/sw++eST9uMf/3gc8U5rrNxr16613d3d1lpr7733Xvv3f//3U57xRGfKPDg4aD/5yU/afD5vrbX2E5/4hO3s7Iwl54nGeq2ttXb37t32lltusbfffvtUx5OESVr7mbS2MyltptrL4ktaO5nENnK6t4/xHw6fIjt27GDt2rUArF69mp07dx53/bx580aPgh0+fBjHcaiurp7ynMcaK3NFRQXPPvss1dXVOI5DXV0dhw4diiPqccbKDfDnf/7nrFq1aqqjnWTHjh18+MMfBmDRokUcPnyY/v5+AN577z1qa2tpaWnBdV2uvfZaduzYEWdc4MyZAT772c+OXl9Kxsr9zDPPMGfOHAAaGho4ePBgLDmPdabMFRUVPPXUU6TTaYaGhujv76epqSnOuKPGeq0BNm/eXBI9/FL6ktZ+Jq3tTEqbqfay+JLWTiaxjZzu7eOMKex6e3tpaGgAwHVdHMchn8+ftN+f//mf89GPfpS7776bqqqqqY55nPFkHmk833jjDd5//31WrFgx5TlPNJHccevt7aW+vn703w0NDfT09ADQ09Mz+jxOvC5OZ8oMpfPanmi8ufft28c//MM/cO211055xhONlRngO9/5DmvXrmXdunUnDZ+Ky1i5n3nmGS6//HLmzp0bRzxJmKS1n0lrO5PSZqq9LL6ktZNJbCOne/s4LefY/d3f/R1/93d/d9y2V1999bh/W2tPedsHH3yQe++9l0984hOsXLlyyt6E55L57bff5nOf+xxbtmwhnU4XLeOpnEvuUpSkrCOSmBlOnXv//v38/u//Pg899NBxH7yl4lSZP/OZz/DJT36Su+66i1WrVsV+VP1Ujs196NAhnnnmGZ588kn27t0bYyopRUlrP5PWdk6nNjMpOY+VtMxJayeT2EZOt/ZxWhZ2N910EzfddNNx2zZu3EhPTw9Lly7F932stWQymdHru7u76e3tZfny5dTW1rJy5Upee+21KSvsziYzwJ49e7jnnnt49NFHufDCC6ck67HONnepaG5upre3d/Tf+/btGx0qcOJ1e/fupbm5ecoznuhMmUvZWLn7+/u56667uO+++7jqqqviiHiSM2U+dOgQu3fv5rLLLqO8vJxrrrmGnTt3lkSjdabcP/nJTzhw4AC/8zu/Qz6f59133+WrX/0qmzZtiiuulJCktZ9JazuT3GaqvSy+pLWTSWwjp3v7OGOGYq5Zs4bnnnsOgO3bt3PFFVccd/2BAwf40pe+RBAEhGHI66+/Tnt7exxRR42VGeALX/gCX/rSl1i2bNlUxzut8eQuFWvWrOH5558H4PXXX6e5uXl0qMO8efPo7+/n17/+NUEQsH37dtasWRNnXODMmUvZWLk3b97M7/7u73LNNdfEFfEkZ8ocBAEbN25kYGAAgNdeey32z4wRZ8q9bt06fvSjH/HDH/6Qb37zmyxbtixRjZZMvaS1n0lrO5PSZqq9LL6ktZNJbCOne/vo2KT1S5+lMAx58MEHefvtt8lkMmzevJmWlha+853vcNlll3HJJZfw7W9/mx//+MejyzX/wR/8QUlnrqurY/369cct03rHHXfwoQ99KMbUY+e+6KKLuOOOOzhy5Ah79+5lyZIl3H333Vx55ZWx5P3a177Gz372MxzH4aGHHuLnP/852WyWtWvX8r//9//ma1/7GgAf+chHuPPOO2PJeKIzZf7DP/xD9uzZw+7du+no6ODmm2/mYx/7WNyRgdPnvuqqq0b/Dkd89KMf5ZZbbokxbeRMr/UzzzzDD37wA1KpFBdccAEPP/xwSSzlDGfOPeLXv/41n//855O3nLNMqaS1n0lrO5PUZqq9jC9vqbaTSWwjp3P7OGMKOxERERERkelqxgzFFBERERERma5U2ImIiIiIiCScCjsREREREZGEU2EnIiIiIiKScCrsREREREREEk6FnYiIiIiISMKpsBMREREREUk4FXYiIiIiIiIJl4o7wImMMQwMDJBOp0vi7PQiIlIc1lp836eqqgrX1XHGsah9FBGZOc6mjSy5wm5gYIA333wz7hgiIjJFzj//fLLZbNwxSp7aRxGRmWcibWTJFXbpdBqInkQmk4k5zcl27dpFR0dH3DHGJSlZk5ITkpO1pHJedVV0+dJLJ11VUjnHkJSsScp5/vnn8+abb45+7suZlUr7mJT3GCQna1JyQnKylkzOM7SBI0om6xiSkhOSk/VMOfP5/ITbyJIr7EaGl2QyGcrKymJOc2qlmutUkpI1KTkhOVlLJmdPT3R5mjwlk3MckpI1KTlHihMNKxyfUmof4378iUhK1qTkhORkLYmcY7SBI0oi6zgkJSckJ+tYOSfSRmpSg4iIiIiISMKpsBMREREREUk4FXYiIiIiIiIJV3Jz7ERKVRiGvP/++3HHGJeurq64I4zqyOcB2NXZedJ1pZRzLEnJWqycYRjiui5lZWVkMhlSqRRNTU3U1NQU5fFE5NTCMOS9997DWnvSdafaNq59jAVro+vs0W0WizVA4TbWGAbe2sebA/8I45j2M7KLW5HGaagc+wanu5+zmId78OBBfvWrX51xn2w2y6xZs842lkjJUWEnMk620OiNp+EsBaWSs+uuu4DT5ymVnOORlKyTmTMMQ6qrq2lrayObzWqhE5GYWD/E5kOcIZ82tx6MiQqywEQ/ltECDQqfA8aCIbrOWgjCqGAb2Tcc2b/wd21s9KuNfiwnfJYYiz+rkSVrVoDrlPTnwYEDB2hvb487BnzpS3EnkBlEhZ2IFNX+j30s7ghyFqy11NfX09raSmXl2R9pFxGwgYHQRJe5EDvsR8WYH4JvyXb7hD/fFxVdYaFgC4mKrkJBR2ixxoDrTF5R5QDH3o/rnHT1cc8jNBgPHE8zecbtjjviTiAziAo7EREZZa3F8zzmzZtHc3Nz3HFESpK1NirUBn0YyGMHfPDN0R6vwEQFWt5gh/xCz1k0zNE6gHd8YVbeZzD7Bs78oJ6D43lFfV4ikmwq7ESkqBb9yZ8A8NZjj8WcRMZirSWdTrNs2TKdNFxmhNHhimGhUDuSww4HkAui3rSw0IMWFIYsWov1TaGIi4Y/Wm8cvWeFXjYY19Q0mU7+9b+OLp95Jt4cMiOosBORoqp84424I8g4GGPIZrO0t7erqJNpwwktdsiPfvryURE3HGAH8pALsHkTFWymMC/NdXDcca4KUhiOqEJNzmjnzrgTyAyiwk5EZIYzxtDW1sacOXNKejEEmdlsYU5aNMQxjOaq5QIYDqKetVwA+TDarzDssem9PMGRd6Phj6ealzYyx0y9aSIyDaiwExGZoay1uK7LkiVLqK+vjzuOzFB2ZIGQQT+aq5YPCwuLGKwfwFAQLR5SKNistVEh5jjgnHkpfOsBKVcFm4jMCCrsRERmoGOHXpaXl8cdR2I0Os/MjiyNb7F+ONrrxbGnz7CQHggxBwYLy+ub6DbGYEOOLsF/7Ny1wBauL8xNC83R+7VEc9aCMHqYM81XG1kNssivh4hIUqmwExGZYay1tLa2MnfuXA29FExXH7Y/x2jJNHpWaeeYsYlHr0sPGuyh4dEes+OWzHcc8E79njrdO62Y78B+fx/uooYiPsLkSEpOG/gc2P5fedvbd4orR05wbqIi3RqMCbFhUNhh5AR50eXIb47rUuh6BRwcLLgpXM8F18VxCqdWcJzCW82NbjOyvxPdtumCSyjLauSBzGwq7ESkqI5cdlncEeQYxhhaWlqYN29e3FGkRHhzaya0/+DBNN7C0i9CAIb2pfDaauOOMaZzzWlHTkpuQsJ8DmvCQqFlCPI5Qj8HYYixBuPnCXPDhH4OG4ZR8WVCwvww1oSY0ICNzmpuQ0MY5KP7A0I/j005lFXXFYorFzeVwvVSOJ6H43q4rgeui+u6uJlyUmWVuG6hSGOk19WJ9vGi205rH/pQ3AlkBpnmf00iErd3/t2/izuCFDiOwwUXXEBtbel/0RWZzqy1mMAnzA1hwhC/7yB9e97FBH5UXPl5/OEBguFB/KEBgtwwYX4oKqzCEGtDbBge0ztmC31gYI3BWoNjLZZolU/HcUd7VUd7vM6CCQPK5iyi5eKrJuulmP7+43+MO4HMIGMWdkNDQ2zcuJH9+/eTy+W4++67Wbp0KQ888ABhGNLU1MRjjz1GJpPh2Wef5amnnsJ1XW6++WZuuukmfN9n48aNdHV14XkejzzyCG1tbVPx3ERE5BiLFi1SUSdyjkaLsvwwJgjID/Xh9x8myOfAhISBT+j72NAHawkDn2B4gDCfx4Z+Yb+AMAzBhFhrObh3L291//NoAeY4ztEhiGfiuEdHwY5s0znMRWasMQu77du309HRwV133cX777/Pv/23/5aVK1eyYcMGrr/+eh5//HG2bdvG+vXreeKJJ9i2bRvpdJobb7yRtWvXsn37dmpqatiyZQsvvfQSW7Zs4etf//pUPDcRKQHNf/3XAOzbsCHmJDOTtRbP85g/fz51dXVxx5lWdOCz+Ky1mNCPeqmMwRaGDZogwB8ewPh5jAnBGEzoY0KDPWb//rfe4L1gP2akdwswgX/0ZOOjlyHWFHq9rMEagwmDaNEXYzAmKCwyM/LvsDDcERwvGlI4rkJshOPipVwgOmekm8rgpTJFeQ0lZiPfee+7L94cMiOMWdjdcMMNo793d3cze/ZsXnnlFR5++GEArrvuOrZu3Up7ezvLly8nm80CsHLlSnbu3MmOHTtYv349AKtXr2bTpk3FeB4iUqJm/+3fAirs4jCy8uXixYt10vEimMkHPoePHKDn/+wERla4jLbbkX/Ywu/Hbh9dWMNizciNCvvaMJrWdcx+JgyjuWEjww1xwCncp+NExZTrFdbdODrU8FjB4V6GDldO7Mk5Lo7n4k3h3K/UoQHKahun7PHOlg0C/LAPDr8fd5QxpYb2lkbOx7dEl5+66bS7lEzWMSQlJ8SZ1UKYhzAHs5ae8nOpmMb9qXXrrbeyZ88evvWtb/GpT32KTCY6stTY2EhPTw+9vb00NBydTN3Q0HDSdtd1cRyHfD4/ensREZl8xhjmzp3L3Llz444ybc3kA5/lNQ20Xf7huGOMqa+zk/NXrYo7xpiSkhN/iD1/82n46T/HnWRMzXu6Yeh/xR0D8keiy5/++9PuUjJZx5CUnDDFWUMfKhugugWyLVBWA5VNU/PYJxh3Yfe3f/u3/Mu//At/8id/Mrr6EnDc78ea6PYT7dq1a7zRplxnZ2fcEcYtKVmTkNMYA0Rf4JKgVHJ+IIxWUztdnlLJOR5JydrV1UVNTQ179uxhz549ccc5rVL+nJ+IqT7wWQqvWxI+s0ckJWsScjrhMC1uhq6eA3FHGZtXVhI5m8Pou8O+M2UpkaxjSkpOmJqsJiRf0cyhOb9FWN4YjSY4MnJlH7yzc1x3M5l/+2MWdrt27aKxsZGWlhYuvPBCwjCkqqqK4eFhysvL2bt3L83NzTQ3N9Pb2zt6u3379nHxxRfT3NxMT08PS5cuxfd9rLXj6q3r6OigrKzs3J5dEXR2drIqCUfVSE7WpOQMgoCuri5aWlrijjKm7u7uksnpedFM/lPlKaWcY0lK1j179nD11VeX/Hy6zs5OOjo6SqJIOVdTfeAz7vYxKZ/ZkJysScmJP0T3m9Da0hp3kjF1dXeVRs5CG3imLCWTdQxJyQlFzmpCqJ4DS66HhoXndFdn+tvP5XITbiPHnOn7s5/9jK1btwLQ29vL4OAgq1ev5vnnnwfghRde4Oqrr2bFihW89tprHDlyhIGBAXbu3Mmll17KmjVreO6554BoPsIVV1wxoYAiIjI2Ywzl5eU0NTWVfFE3XezatWu0F/fEA5/AGQ98jmzv6ekBmNCBTxERiYkJYHYHXPZ/n3NRVwxjFna33norBw4cYMOGDXzmM5/hi1/8Ivfeey//5b/8FzZs2MChQ4dYv3495eXl3H///dx555186lOf4p577iGbzXLDDTdgjOG2227jBz/4Affff/9UPC8RKRE2lcKmdMrMYjLGUF9fz7Jly0jptZ4yOvApImNKedGPJJ8NYeWnoeMWOMtzQRbbmN8AysvL2bJly0nbn3zyyZO2rVu3jnXr1h23bWQJZxGZmXY980zcEaatkR6etrY26uvrcaZ49a2Z7tZbb+ULX/gCGzZsYHh4mC9+8Yt0dHTwp3/6pzz99NO0trayfv160un06IFPx3GOO/D58ssvc9ttt5HJZNi8eXPcT0lEJtv37407gZwra6AsC+0fhvoFcac5Ix3aFRFJIGMM1dXVXHDBBaPzGGVq6cCniMg0ZwJouhA6bgW39NtaFXYiUlSV//IvAAxeeGHMSaYPYwyNjY0sXLhQvXQiIqXsza7o8vxkLDoixwjz0LoKLvzXU34+urOlwk5EimrRn/4pAK89+2zMSaaHkfl0KupERBLgoR9Gl39zX7w5ZPyshUwlXHQ7NC6OO82EqLATEUkIx3FYsGABTU1NKupEREQmmwmhphUuuRNSyVulWIWdiEiJM8ZQVVXF/PnzyWazcccRERGZfkIfaufDqk8nYj7dqaiwExEpYcYY5syZQ1tbm3rpREREisH40HIJfODfJGY+3amosBMRKWHz589nzpw5cccQERGZnkwA86+CJdfHneScqbATESlRF1xwgYZeioiIFEuYh7lXTIuiDlTYiUiR/fIrX4k7QuJ4nsfChQtV1ImIJN2/uzHuBHIq1oKXhvM/Bq0r404zaVTYiUhRDSxfHneERBkp6mpra+OOIiIi5+oD8+JOICcyAdQvhKUfh8r6uNNMKhV2IiIlwFpLJpPh/PPPp6KiIu44IiIi04/xoW01LLkh0YuknI4KOxEpqmU33wzA6z/8YcxJSpcxhrq6OhYuXEgqpY9lEZFp41P/Ibp88u54c8x01kZF3dLfhnlXxJ2maPQNQkSKyh0ejjtCSXMch7a2NlpaWuKOIiIik204H3cCsRaqmuGi34GKurjTFJUKOxGRmLiuS3t7O/X102uMv4iISEkI89CwBC7aAKmyuNMUnQo7EZEppvl0IiIiRWQtOB4suxlaLo47zZRRYSciMoWstVRUVLB06VLNpxMREZlsJiDI1MIH/xDKZ9YK0/pWISIyRYwx1NbWapEUERGRYjA+NC2jp3YJ82dYUQcq7ESkyHpu1MlZIeqpq6+vZ/HixTjTcIllERE5hd++LO4EM0eYh+Zl0Xy6zs6408RChZ2IFNWeT34y7gixMsZQVlZGc3OzVr4UEZlpbl0Td4KZwfGiE463roo7SaxU2ImIFIkxhlmzZtHe3q5eOhERkclmLVTUw4rfhUqtMK3CTkSKav4jjwDw7uc/H3OSqeW6LkuWLKG2duaN8RcRkYK//K/R5Wc/Gm+O6SjMQ8MiuOj2GXEqg/FQYSciRVW7Y0fcEaaUMYaamhoWLFhAeXl53HFERCROP/1F3AmmH2vBS8GFt8Kci+JOU1JU2ImITAJrLa7rsnTpUmpqauKOIyIiMv2YECrqYOWnZ9ypDMZDhZ2IyDkamUs3d+5cyso0HERERGTSGR9aVsLS9eB6cacpSSrsRETOkjGGVCrFnDlzmDdvXtxxREREpicTREXdB/5N3ElK2rgKu0cffZTOzk6CIOD3fu/3WL58OQ888ABhGNLU1MRjjz1GJpPh2Wef5amnnsJ1XW6++WZuuukmfN9n48aNdHV14XkejzzyCG1tbcV+XiIiRWOtJZ1O09rayqxZs3BdN+5IEhO1jyIiRRb6sPi3YME1cScpeWMWdj/5yU/YvXs3Tz/9NAcPHuTjH/84V155JRs2bOD666/n8ccfZ9u2baxfv54nnniCbdu2kU6nufHGG1m7di3bt2+npqaGLVu28NJLL7Flyxa+/vWvT8VzE5ESMLRoUdwRJpUxhtraWhYuXEg6nY47jsRI7aOIjKm9Oe4EyRYMw3nXqKgbpzELu8suu4yLLopWnKmpqWFoaIhXXnmFhx9+GIDrrruOrVu30t7ezvLly8lmswCsXLmSnTt3smPHDtavXw/A6tWr2bRpU7Gei4iUoF/85V/GHWFSWGvxPI8FCxYwa9asuONICVD7KCJj+uqGuBMkkwmgchZc+G+gTiMZxmvMws7zPCorKwHYtm0b11xzDS+99BKZTAaAxsZGenp66O3tpaGhYfR2DQ0NJ213XRfHccjn86O3P51du3ad9ZMqts7OzrgjjFtSsiYhpzEGgO7u7piTjI9yTh5rLalUCt/3eeedd3jnnXfijnRGSfh7gtL+nB+PuNpHEZFpLfThvKtg0W+BpjpMyLgXT/nxj3/Mtm3b2Lp1Kx/5yEdGt1trT7n/RLefqKOjoyRXl+vs7GTVqlVxxxiXpGRNSs4gCOjq6qKlpSXuKGPq7u4umZwNzz0HwIF16066rpRyno4xhmw2S19fH5dffnncccaUlL+nzs5OOjo6El/cwdS3j6XwmiXl4AEkJ2sScjrhMC1AV3dX3FHGpRRyVvxDdB67oTWLz7hfKWQdj6LmtBbreBxsXUvuSDP84z+e090l4W8KJjfnuAq7F198kW9961t873vfI5vNUllZyfDwMOXl5ezdu5fm5maam5vp7e0dvc2+ffu4+OKLaW5upqenh6VLl+L7PtZaHY0UmUHm/of/AJy6sCtlIwukzJ07l1mzZrFz5864I0kJiqN9jPvAZ1IOHkBysiYlJ/4Q3W9Ca0tr3EnG1NXdVRo5//MPAai/8fRzxEom6xiKmtOE0LAQlt3C3EzlOd9dUv6mzpQzl8tN+EDemP2bfX19PProo3z729+mrq4OiOYCPP/88wC88MILXH311axYsYLXXnuNI0eOMDAwwM6dO7n00ktZs2YNzxWO2G/fvp0rrrhiQgFFRKbSSK9JQ0MDHR0dNDU14ThOzKmkFKl9FBGZBKEPTUthxSdhEoq6mWzMHrsf/ehHHDx4kPvuu2902+bNm3nwwQd5+umnaW1tZf369aTTae6//37uvPNOHMfhnnvuIZvNcsMNN/Dyyy9z2223kclk2Lx5c1GfkIjI2bLWks1mWbRokVa8lDGpfRQROUeOC0t/G+aV/lSHJBizsLvlllu45ZZbTtr+5JNPnrRt3bp1rDthuNXIuXlEREqZtZbZs2fT1tamHjoZF7WPIiJnyQRQOx8u+BhkS3uufZKMe/EUEZHpyFpLRUUFixcvpry8PO44IiIi05vjQvtvwsLfjDvJtKPCTkRmJGMMZWVl1NXVMX/+fPXSiYiIFJMJIVMFH7gRGs+8SqicHRV2IlJUP/+rv4o7wnFGVh5saWlh1qxZuDpHjoiIFMt3fi/uBPGzFrAw9zJYcj14msNeLCrsRKSowpqauCMcp7W1ldbWVvXQiYhI8WUr4k4QLxNAwyL4wE1QVh13mmlPhZ2IFFV6714A/NmzY8tgjKGxsZG5c+dqHp2IiEydniPRZVNpHeQsOmsgXQnnfxRmd8SdZsZQYSciRbX0rrsAeO3ZZ6f0ca21pFIpamtrmT17NlVVVVP6+CIiIvzh1ujyb+47837Txciwy9kXwQX/F6QycSeaUVTYici0YYwhlUpRXV1NVVUVc+bMwfO8uGOJiIhMfyaE2jZYdhNU1MedZkZSYSciiWatxVpLVVUVzc3NNDY2akEUERGRqRTmYe4V0Xnp1AbHRoWdiCSOMQbP86ioqBgdaplK6eNMRERkSlkbDbdcfD20XRF3mhlP34REpORZa0eLuerqaurr62lubtbKliIiInExATSeDx23QKos7jSCCjsRKVEjQyzT6TSNjY00NTVRXl6uYk5ERCRO1oLrwZIbYP7quNPIMVTYiUhRvXf//We83hiD67qk02lSqRTpdJp0Ok15eTkNDQ2UlekooIiIJNQfrIs7weQK81B3Hiz/HZ2XrgSpsBORojp07bXA0eGUAJ7nUVlZSWVlJYsWLaK+vl4LnoiIyPSzZmncCc6dtWBDcpXz4PJPQ01r3InkNFTYiciEjQyTNMaMDo10HGf0x/M8UqkUnufheR6ZTGa0kKuoqMDzPBzHYWhoiMbGxpifjYiIiJySCWD2ClhyPQd2vUG7irqSpsJOZAKstYRhGHeMMxopuEZyOo6DtfakuWnHFmEjvWUjBdexP6lU6rjizXVdysrKKC8vJ51Ok8lkRre7rnvyHLjrrosut28v7hMXEREpNX/8VHT5+O/Gm2OirIHGJbDot6C6Oe40Mk4q7ETGycWhY7iRVr8JsGCPudJYrCUargCF6ywcW+SM7O9EBRKuAw6FHwc8F9zCDsc98Mi+zujtj7ssFGVO2sVtr8dxHP7pn/6Jiy+++LiCbOTyVL8X1a9+VfzHEBERKUXdB+NOMDHGh8qm6Hx0DYviTiMTpMJOEs9aC4HBDgWQC8AUii5rojrLWAjt8UWXsYX9CvuOXB8YrDFgOHq9H0Y3DQxhTZryRbPAcY8pyoiKq7QbFV9uoWAaKdjcwvUuo8VZsQuqkeGPIiIiImMyAdTMg6YPwHlXH39gWhJDhZ2UBGtMVFQN+uAbbC6EIIyKq8AcLcYCE/WOjRRrQYgd8sEU7uNUPVtMTiFljSVf6VYuuxkAACAASURBVOK21JzzfYmIiIjEqrAoCg2LYdFHtCjKNKDCTsbNWnu0p+vY3i5bKKosMORjh0MwBsKoWIt6w4gKsiCEkOj6wn3MenuY4PDbYAvDGQtDFMddjDkOeOB4XrGeuoiIiMj0YAKoaIhOLt6yCmpa4k4kk0SFXYKMFlajBZWFoFAsDQXYfHj0eqBqX0D4Ru/x+1sbDTO0FhseU3SNDFMMDTYoPA4cvS3H7HPCXDJ77GQzz8VxJ9Y75lCYQxb9JiIiIiKTyYRR71y2JVrlUsMtpyUVdlPA+iHhLw4cUyQVLh1OKJqco8XXyNDDwu6jhdSIY/8YHaKCyjv+D9QLovlhJynM/XJcD9Knvnoq5fpc3FmVU/yoZ8FaysJfccoXrcRUVe2msBJL/G68pvDLP5501bnnzBV+jv37sIX7vByoOIf7FhEROUfXfCC+xzY+lNVFPXPZlmj+nE4qPq2psJsCTtojdWHTlD/ukdyv8TpmT/njTlRSckKObPdrwKG4g4yppqYbOBx3jMjX1hR++elJV008Z0h06KEZqAPagXqgnKMr2aQpmaJWRERmtv/7I1P3WNZCmIeyLNQvhNkXQdOF6pmbQVTYiUiJs4AP1AAdwEUkoddURESk6EwIWKhbALVt0Lw86p1TMTcjqbATkeJ66P+LLh/+2ARuFBQu5wALgJbCjxoqERFJkP+0Pbq847rJub/Qj4q22vlQPSe6nLUU0uWTc/+SaOMq7N58803uvvtu7rjjDm6//Xa6u7t54IEHCMOQpqYmHnvsMTKZDM8++yxPPfUUruty8803c9NNN+H7Phs3bqSrqwvP83jkkUdoa2sr9vMSkVLx1I7o8oyFXUhUzGWBRmAJsBAoK3I4kXOj9lFEzuj5V6PL8RZ21kRz41LlkKmGslrwMpCugIpZkJ0D9YsgpXPVysnGLOwGBwf58pe/zJVXXjm67Rvf+AYbNmzg+uuv5/HHH2fbtm2sX7+eJ554gm3btpFOp7nxxhtZu3Yt27dvp6amhi1btvDSSy+xZcsWvv71rxf1SYlIKQsLPzXk8w3AUqAJaAOqUa+cJIXaRxE5ayaM5sO5HhYXKhuhanbUAzd7OWSq4k4oCTRmYZfJZPjud7/Ld7/73dFtr7zyCg8//DAA1113HVu3bqW9vZ3ly5eTzWYBWLlyJTt37mTHjh2sX78egNWrV7Np06ZiPA8RKWkO0EC00EkL0aInFezfv5MFC1bFmkzkbKl9FJkmRk7UPboCuT06dw2ncLzRLcxbc47OX3McSFdFvWluGtwUOO4x+zjgFRb0ar0s+t1Ng5eKeuKqZ0N5PXtefY25q9QWyrkbs7BLpVKkUsfvNjQ0RCYTdQE3NjbS09NDb28vDQ0No/s0NDSctN11XRzHIZ/Pj95eRKaTkYawBqgkKuQqiD5qbooxl8jkU/sopcxaS5gPCfIhQT7A+IYwNNEZl0KLtQZjwAQGM7K9cC5cY2zh95GzNNlC7RPQ09eB6Z8bnVjGcWhsr6OssvSGzffl34AFF5x+B8c9+uN6UYE2Upg5LmSyhULMA5zo0vEKl8cUb2MtUpKODvRwwb+arKcmclrnvHiKPfH8ame5/US7du0660zF1tnZGXeEcUtK1iTkdByflhbo+v/bu9cguepy3+Pf/1rdPUlmciGQgWC8ZHPAaEYQchAhJIgSK1pYwi4BKQWpYkNZRECUFzGiQQsxWoEXFtYueSFFUdYRsFKWdYoilqdwF0dAMWw5BLcQ2UZyz0xmpqev6/L/P+fF6u6ZSeaWyUx3r8zzedPTl+n+TWfSzzzrf1kHD7U6ypQ0J6dgTEQcLySOF1KpLKdaXY7IcJHvCR0Qsnucf+M0/NvXpSVrWnK28+f8TDid62NafscgPVmPzykiiBWiosUGMWLBxYKLXNJoWcEGyaVzAk6wkUNiQRzgJDkNrpXGDHdjzImz3U3t9ikQK5x50eUcPmv4M/5QFahO+8eePWf9T3b1n8w31M+LWjczpwzqCUOAcWtgXVp/T9tZWrLOZM5pNXYLFiygWq0yb948jhw5Qnd3N93d3fT19TUec/ToUT760Y/S3d1Nb28vq1atIooiRGRKRyN7enro6Gi/I0C7du1iTUqGy9OSNS05IeDQof/Nuecub3WQSR08eGgGcgrJhib188N1AItJzhnXRTIS1wm8n2TTk3GsWAEw5r9xev7t05M1TTl7enraokmZSXOhPqbldwzaL6uzjrAcERRDSsdK2MgRBzF73vo7H3jv+4lDRxzGhOUIiR3OCT4Zsv68ExswQ/Jx3Mz8sSOk0lbv6Xja5t9+ghpY1zZZJ5GWnJCerBPlDILgpGvktBq7K664gp07d/L5z3+e3/72t6xbt46LLrqIBx54gKGhIXzf57XXXmPLli0Ui0Wef/551q1bxwsvvMBll102nZdUSp0SAVzt0pKcwNsjOR9chqRJ6yJp0HK127Ikm5qcVbvuT++l/3TiicmVOl1pfZy7RISoEjN0uEBYjoiDmDiIiSoxcRQTFiOiaoxYl8zsy3iNRq3aFzKUK456PuMbfF83k0o9rYGqiSZt7Hbv3s2PfvQjDhw4QCaTYefOnWzfvp3Nmzfz9NNPc+6553LdddeRzWb55je/ye23344xhk2bNrFw4UI++9nP8tJLL3HzzTeTy+XYtm1bM34upWaBQaQ+ejVdtXn5jHyekZcjv643XyPv80c8JjPi+bIjHr+AQqET+CCjG7iO2uUikkau3tQppaZD6+PcYiNLeaBCsa+cNGzViKAYEVdjnHWNRs54Bs/3xnwOzzfgT/MgmVJKTWLSv+p6enp46qmnTrj9iSeeOOG2jRs3snHjxlG31c/No9TJEqkt3K4t2kYEG1ls7GprChziQJzDxo6oHCXrD2KLuNri79r3NZ6nsRhchl/DkTzWCs66xuPqt0HyPC52HDy0nuIHz6v1WwbPq61XkPpa6uGmz3jJ18cvXRhrLcM5H+pm3qKZm1pVLOaANpmC8LvfJZfXXNPaHErNMK2Pp5coiKnUGrdqvppsOhJZ4mpMXI2JghgR8DNm3DVpflabNnUcrYGqifRwvZoRIsmibRcnRy3DckhUiQlKYaOZslFtd64gxsYWGzrEOQ7vO8Zf/vlmY6G4sy5Z8D2iCTNiRjR4LnlRY5Kxq9q6A+PXG6nZmbrirGPhyk4u+OS/zMrzn7b+7d+Sy717WxpDKTV31adJVvJVKvkqNrQEpYA4SBq3oBgSlkMwBs8fu3HzM2OPwik1Ia2Bqom0sZuj6qNSSTNmqRbC5AhlZBs7aTkrxJUIawWJLXHkcJGtbYOcjJYlp3pJtlB2UXKDSDJa5XmmMWo1ERsmzeBIBkZ87/GXWlyVUkqNJiIExTDZmKSvRLUY0rt7gN2H/kZYjoiqETB6bdtIOtqmlEo7bexSxsbJqJjUmivnhKgcURkKkttEEOuwkWPw7QJ7iv+gOhQQh3Hte2rTCutTDq00phF6vjelRmwsBvCz2nAppZSaPXEQU+grUc0HhKWQsJLMEKlvUmKDeNTGJOFQTLUr2cJeGzel1OlOG7smEpFkFCyIsZElLIWN6YtRNSauRoSVmDiMGycKFQdxGNemL9bOT3PclETjmTGPQJYOVskzNGYWz6ttxqF1TimlVBsREVzsCIoBgwcLhKWIsBQSFALK+Woyo2O86ZI5LWpKqbnrtG3s6s0TUGuCRmzGgYy6DrURLDd8kk9nHc4mjZhzrnFC0KF/lNjnHaxtpmGTRqv2/Ta0yWU84uvQJiNstU08pN6wIcNTFY05YYONcSUPr01KHB4hqz/nSFL7OdpdWnI6O7WTByullBqfjSxhOaJaDKgMVnGRJaxE2MARlELCUjICJwLecRuV6Do3pZQa32nb2JUHKpSOlUfdJtQaohO6KMFgwAODaexu6HnJImo/k8HMS5qvbFeGrjMXNOeHOEXhXyuc/+GVrY4xqZnOGVuHFaEaOgpBRBA6rEuaModg6w29JK2wlWRk1NVGQOuDoXF9amvtxtg59g+VCHYfwmAQA74BzxguP38ZWf2DQyl1GmvsGGxl+MCpG76tWggICkGtKRPi0GGjmKgcE9VPCVBNNtByziU1dpzPzfFuV0opNb7TtrFbdM5CFp2zcMafd35vB2e8b8mMP+9sSEvWsXLG1lEKYorVmCC2VEJL7IQwsgTW4SyN260I1cgSRI4ottj6OkLAM8m0U286O2UaRh0EiDG876wcn+pZfmo/8Fzz/POtTqCUGkGc8O6uA8nOw9Rmr4y4r3G1ceoXaExvERjYm+ed8j8b32MMiBj8rEcm64363PQzPv4if0ZP53Iy8gyw7H+c2ZLXPhlpyRlbx38ceBfv7aOtjjKpPUcCgjbIOf/ffwFAZYIs08lqnVAObTKyPWLmV9Y3nNnVwUfed8a0M6v0Om0bO9V+RIRyYOkvBfQWAspBTBA73jlQ5QD7CWNL5ITYOsqBJXYuGUE14HvjnzdoFGPw/dk53YGaplWrWp1AKTWC8Qzvv3TFtL+/sGuAC9ak47Qvfd4R3r9m+j9rs6QlZzWy7N3zD+yBsdfvt5NDAzFhO+Scd3ZyOUGWqWQVSf4+OqOzg7MXz+eshTkufn8XCzoytX0TlNLGTs0Q64QwtvQVAnqHAgrViFIQE8WOyCUjapUgJrSCATIjFr4fLljMUHXU83meIefpIvjTQhgml7lca3MopZRSTeZFSQ102ZOvgSJCZB0dGZ8PLOtizcqlLO1qzei3Sgdt7NSkqpFloBjSXwoIY0cpjClVY6qRoxLGhHEywmYlGWHLjLNbGcaQy+hRpTnngguSSz05q1JKqTnmxls/DcAv/9fvp/T4ejO3aH6O87q7uGD5IpZ25nRUTk2JNnYKqE2TDC0HByrkyyGFakyxGlEOLf3FACfJvO3xpkP6vsHXcycopZRSSk2Zc0Jkk33Oz+jqYNmiDj76vjPompeZ2hIUpUbQxm6OEBEqoeVYMeBYIaASWQqViGrkGKqElENLFAued+J6toyvu5MppZRSSp2K+mhc17wsSxZkWbIgx9KuDo7NH2Ddx8/D11E5dYq0sTuNVCNL71CV/mJIJYr5f/urHPb2UwhiSpVkd0nGmSppjCGX1Q8UpZRSSqmZUD9lkmfgA2d1snhBjg+du4iF87OjHrfrqK9NnZoR2tilTGwdg+WQwVLEsWJAMUjWuxWCiHwpAoY3JjlctJjB4U1JshmdKqmUUkopNRui2LEg57OkM0fnvAyL5mXp6sjgGdjwET1Vkpp92ti1IeeEoUpEvhxxOF+hUI0ZqoRUI0upagliS8b3Tji6oyfIVkoppZSafc4JsRUyvmHZog6WduZYuWwhK85cMPrvMx2IU02kjV0TiQhh7OgvBhwrhkTWEcSWMBLy1ZBqaCkFMUHkiK3D88yJ528z0JHVkTeVIt/+dqsTKKWUUlMiIjhJTuNkDCzI+vi+Ry5jWFgbgevI+pzRmWNpV44zuzom3uREa6BqIm3sRvjPvf0UqhEICCAyfF9yXXjnYEB/7hAATsA5R+ykcR0E62pHcpwjtoJ1ghPB1S6NMXRkPcY6jON7Hgs6ZmbkLesb5qWgCUxLTut75MIIqVYnf3ATiAhYC86BCGbRovbcQeuOO1qdQCml1BwhtT/e6if0dlJb6yaCZzyMB1nPkPE9OrIeOd8jl/Xp6siwpDNH1vNY0OEzP+ezcF72hPVwJ01roGoibexGuPgDSyd9zOLqAdakZJ70rl39rFmzstUxJpWGnCKCVCr8/d5t5P/v/8FkMpDJYDI+eLUm3fPAGPAzmFwW4/ngm8Z9xhgk44PxhhuwxmX9lUY0ZhkfYzzwDCaTTVZfYxrfY7JZyGXBSzJ0fOxS8Nu/QVZKKZVOBuiUiC6Jpv8cxmBISpkxYKhfH76d2qVnwDOm9rjka0huN4DnGTIGMtbiG8GIkPU9smd3s8cd4+KLzqUj45PNGDKeRzaTNHK6dEWdrrSxU3OGiIBzSLWKBCEShVAuY/v6ILZIGCBxjIQRLp+HagUJY6RcSh4bRFTXr2PR9ddjOjvbc3SsHX3xi8nlL3/Z2hxKKaVOmjgHcYyEId7RXq7/j19y9sp/gVyudvDSqx3kTDo14/nJMciOecnBxvpBT0NykDLjA17jOKY54QBn7YpnwPOT+w215/KTxs+rv54HvodZsCA52Ol5kDFkVywmOJrlA8u6mvlWjU1roGoibezUaUFqRceVy9i9e3H9/bhiEYIQKZeRKESKJcRasBZxLikWngfZ7KRNmvF8JCu4ri68rjYoFGnyyiutTqCUUnNafdaJq1RgMI8LA6RSBZvUTqI4ObhpHcRRcvCzMIQbHELiGOIIRJA4pvzZz7DoX/9VD25OldZA1UTa2KlUkDDE5vNQKmGP9SOlEi4/iBSKuKE8Lj+UrDVzLmnUxpqSaMzwFMrm/whKKaXUjBLnkno4OIgrlpDBAexAPplpUi4nI21RiJTKSJA0bo0lBJ43pebMeCYZnQPwfCQz+cFQpVRraGOnWkaCAHv0KNm//heVvr7kSGKlggRhUoycA3FIpZpsWGLtuCNsJqO/ykoppU4fIgJRlMxGyeexhw4nTVyphBQKSD6fHPAMw9r6bh98f9ymy+RyelBTqdOc/jWsZp1EEdF//zeutxc3MIDrH0Aq5WSUzVo6+vqI3vOeCZ/DZLOQPcWdqZRSSqkWEeew+/bhBgeTZq2/P5nymM+z4K23KLz8RySOkrXg1iZbc9cvITmo6Y3e9MN4Hsyb14KfRinVjrSxU6dEggBXKmEPH0bKFYgiXLGIRBGSz+Pyg0kDJ2Cyo3/d6tMi0SkdSimlTgPiHFiLPXSIeP9+ZDCPGxxIpkEWy7hiIVkOcFyD5lUqSDB8Kp3G/brTsVLqJGhjp8YkcZxM8RgawhWLuEIRN9CPBAFUAySoIpUqLp9PNiKp7UY11hQQnSY5x61b1+oESik1beIchCGuXEFKRVz/AG4oX2vUihAGycYjlQBXGMKQTKM0Y8wyMfW1amru0Bqomqgpf3E//PDDvP766xhj2LJlCxdeeGEzXlaNIM4h5XIyurZvH1Iq40rFZO1aECBRnIy2VSrD1+NoeM7+OEcNdc6+mtRTT7U6gVJtTWtk84gIUp9VEoa4oSFkcDDZ+TGKklko5WrSrFUqSLWCG0qWDUjsko1EMpnxa2LtQKbWRdWgNVA10aw3dn/605/45z//ydNPP80777zDli1bePrpp2f7Zeec+q6R9h//wBVLuP5+5v/tLQq7XksatnIFojCZq9/RMfn2/tkMZHWkTSmlZpPWyFPX2Bmyrw87MJjMKqmNos37z79Q+ttbSSNXKiXnMa1Wk1poDPiZE5YJHM94tfOn6TJvpVSbm/W/3F9++WWuueYaAM477zzy+TzFYpEuPRfYmMTa4XPNVKu4ahVKJaRcxVUrSVEqlZFSASlXkoXWsU2atzjGjGja/IF+ZH6yqNp4Bjo6Wvmjqbnqpz9NLjdtam0OpdrQXK+RIpKcpiaKhr+2Flcu4/r6kpoXhhBbJI6QaoCEEYRBY023KwxBGCWN2nG7JmeOHsUetxzA6GYjqpm0BqommvXGrq+vj9WrVzeuL126lN7e3kmL1u7du2c72rTt2rVryo/19+8ns29/cnSwvrOVCMbGSQETavc5TGzBxoABYxDPa0yFlMk2GKk9rv78ACxfzrv1r9tZSnIaY3BdXSf1799K7ZKz5wc/AGD3xz8+5v3tknMq0pI1LTnb+XO+WaZTI9vhfRvrdyz7X3/DGxqq1aDaZ7qrfe0EUz+FjYARgTjGRFHymONLnDFIrgPxPSY34jxrMFwDITX1JS05jWeQzgWp+Yxph5yT1cC6dsg6FWnJCenJOpM5mz7XTqb4wdXT00NHG44w7dq1izVr1kz9G07msTPspLO2SFpyQnqytlXO2h9cY+Vpq5yTSEvWNOXs6elpiyalnUylRra6Po77O9aGv3dp+v+QhpyQnqxtk3OCGljXNlknkZackJ6sE+UMguCka+RUDoWdku7ubvr6+hrXjx49yrJly2b7ZZVSSqm2pzVSKaXUTJn1xm7t2rXs3LkTgDfffJPu7u45s3ZAKaWUmojWSKWUUjNl1qdiXnLJJaxevZovfvGLGGPYunXrbL+kUkoplQpaI5VSSs2Upqyxu//++6f82Pr6gjAMZyvOKQuCoNURpiwtWdOSE9KTtW1y1qeVjZOnbXJOQVqypiVn/XN+qmuvT1dTrZHtVB/T8jsG6cmalpyQnqxtkXOSGljXFlmnIC05IT1Zx8s5nRpppM0qaqFQ4O233251DKWUUk1ywQUXsHDhwlbHaHtaH5VSau45mRrZdo2dc45SqUT2uHPRKKWUOr2ICFEU0dnZiefN+pLv1NP6qJRSc8d0amTbNXZKKaWUUkoppU6OHiJVSimllFJKqZTTxk4ppZRSSimlUk4bO6WUUkoppZRKOW3slFJKKaWUUirlmnIeuzSLoojNmzdz8OBBfN/nhz/8Ie9973tHPeaxxx7jxRdfRET4xCc+wV133dWWOZ977jl+/vOf43kel19+Offdd1/Tc041az6f5xvf+AadnZ385Cc/aXrGhx9+mNdffx1jDFu2bOHCCy9s3PfSSy/x6KOP4vs+69evZ9OmTU3PN5WcQRDw3e9+lz179rBjx46WZaybKOsrr7zCo48+iud5rFy5kh/84Act2yVxopzPPPMMv/rVr/A8j1WrVrF169aW7U44Uc66Rx55hL/85S889dRTLUg4bKKsn/zkJznnnHPwfR+A7du3c/bZZ7cqqhqD1sHWZNU6eOo5tQ7OTlathdPTlFooakI7duyQBx98UEREXnzxRbn33ntH3b9v3z65++67RUQkjmPZsGGDHD58uO1ylstlufrqq6VQKIhzTr7whS/Inj17mp5TZPKsIiL33nuv/PSnP228t830xz/+Ue68804REfn73/8uN95446j7P/OZz8jBgwfFWis333xzy97HyXJ+//vflyeeeEKuv/76VsQbZbKsGzZskEOHDomIyN133y2///3vm55RZOKc5XJZbr31VgnDUEREbrnlFtm1a1fb5azbs2eP3HTTTfLlL3+52fFGmSzr1VdfLcVisRXR1BRpHZx5WgdnhtbB2aG1cOY1qxbqVMxJvPzyy2zYsAGAK664gtdee23U/StWrGgcScvn8xhj6Orqaruc8+fP5ze/+Q1dXV0YY1iyZAmDg4NNzwmTZwV46KGHWLNmTbOjAUm+a665BoDzzjuPfD5PsVgEYN++fSxevJjly5fjeR5XXXUVL7/8ctvlBLjvvvsa97faZFl37NjBOeecA8DSpUsZGBhou5zz58/nySefJJvNUqlUKBaLLFu2rO1y1m3btq1loxEjTSWram9aB2ee1sHZzwlaB6dLa+HMa1Yt1MZuEn19fSxduhQAz/MwxhCG4QmPe+ihh7j22mu566676OzsbHbMKeWsF9q33nqLAwcOcNFFFzU9J5xc1lbo6+vjjDPOaFxfunQpvb29APT29jayH39fs02UE1r7Hh5vqlmPHj3KH/7wB6666qqmZ4TJcwI8/vjjbNiwgY0bN54wdapZJsu5Y8cOPvaxj/Ge97ynFfFGmcp7unXrVm6++Wa2b9+O6KlV247WwZmndXBmaB2cHVoLZ16zaqGusRvh2Wef5dlnnx112+uvvz7q+nhv9AMPPMDdd9/NLbfcwiWXXDKrv+SnknPv3r3cf//9PPLII2Sz2VnLWHcqWdtFu+erS0tOGDvrsWPH+OpXv8rWrVtHffi10lg577zzTm699VbuuOMO1qxZ07Ij6iONzDk4OMiOHTt44oknOHLkSAtTje349/See+5h3bp1LF68mE2bNrFz5042btzYonRK6+DM0zrYPGnJCempg6C1cDbMVi3Uxm6EG264gRtuuGHUbZs3b6a3t5dVq1YRRREiQi6Xa9x/6NAh+vr6+MhHPsLixYu55JJLeOONN2a1oE0nJ8Dhw4fZtGkTP/7xj/nQhz40a/lmImsrdXd309fX17h+9OjRxjSD4+87cuQI3d3dTc84VpaROdvNZFmLxSJ33HEHX//617nyyitbERGYOOfg4CB79uzh0ksvZd68eaxfv57XXnutJcVsopyvvPIK/f39fOlLXyIMQ959910efvhhtmzZ0vSck2UFuO666xpfr1+/nrffflsbuxbSOtg+WVtJ6+DMS0sdBK2Fzc4KM1cLdSrmJNauXcvzzz8PwAsvvMBll1026v7+/n4efPBB4jjGWsubb77JypUr2y4nwLe//W0efPBBVq9e3ex4o0wlayutXbuWnTt3AvDmm2/S3d3dmCKxYsUKisUi+/fvJ45jXnjhBdauXdt2OdvNZFm3bdvGV77yFdavX9+qiMDEOeM4ZvPmzZRKJQDeeOONlvxfnyznxo0bee6553jmmWd47LHHWL16dcsK2WRZC4UCt99+e2MK2quvvsr555/fsqxqbFoHZ57WwdnP2W7SUgdBa2Gzs85kLTSSpnHrFrDW8sADD7B3715yuRzbtm1j+fLlPP7441x66aVcfPHF/OxnP+N3v/tdY5vnr33ta22Xc8mSJVx33XWjtla97bbb+NSnPtV2WS+88EJuu+02hoaGOHLkCOeffz533XUXl19+edMybt++nT//+c8YY9i6dSt//etfWbhwIRs2bODVV19l+/btAHz605/m9ttvb1quk8l5zz33cPjwYfbs2UNPTw833ngjn/vc59ou65VXXtn4v1R37bXXctNNN7VVzg0bNrBjxw5+8YtfkMlk+OAHP8j3vve9lm3xPFHOuv379/Otb32r5Vs8T5T1ySef5Ne//jUdHR18+MMf5jvf+U7L3lM1Nq2Dzc+qdXBmcmodnPmsWgunrxm1UBs7pZRSSimllEo5nYqplFJKKaWUHdzzMwAAAFdJREFUUimnjZ1SSimllFJKpZw2dkoppZRSSimVctrYKaWUUkoppVTKaWOnlFJKKaWUUimnjZ1SSimllFJKpZw2dkoppZRSSimVctrYKaWUUkoppVTK/X+yaYxTqpdzNwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#4 - Redução das variáveis"
      ],
      "metadata": {
        "id": "ql2JXMbNWEAz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Para melhor entendiento dos 2 clusters será feita a redução das variáveis\n",
        "#Atualmente são 1545\n",
        "#PAra tanto será utilizado a PCA (Análise dos Componentes Principais)"
      ],
      "metadata": {
        "id": "iQL1sq4eWHwn"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# instanciando standardscaler para centralizar os dados\n",
        "std_scaler = StandardScaler() \n",
        "# transformar os dados com o standardscaler\n",
        "x_pca2 = std_scaler.fit_transform(df) "
      ],
      "metadata": {
        "id": "QvxCQot1WxQF"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_pca2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q8dfZXypXV3G",
        "outputId": "52d41cc6-53b3-44bd-e0e7-12a13171cf06"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[-0.12996881, -0.13861511, -0.1749151 , ..., -0.16646313,\n",
              "        -0.22704413,  5.93589348],\n",
              "       [-0.12996881, -0.13861511, -0.1749151 , ..., -0.16646313,\n",
              "        -0.22704413, -0.10747685],\n",
              "       [-0.12996881, -0.13861511, -0.1749151 , ..., -0.16646313,\n",
              "        -0.22704413, -0.10747685],\n",
              "       ...,\n",
              "       [-0.12996881, -0.13861511, -0.1749151 , ..., -0.16646313,\n",
              "        -0.22704413, -0.10747685],\n",
              "       [-0.12996881, -0.13861511, -0.1749151 , ..., -0.16646313,\n",
              "        -0.22704413, -0.10747685],\n",
              "       [-0.12996881, -0.13861511, -0.1749151 , ..., -0.16646313,\n",
              "        -0.22704413, -0.10747685]])"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Utilizando o K-means na utilização das variáveis transformadas com o PCA\n",
        "#inserindo estes clusters em uma nova coluna no dataset\n",
        "kmeans = KMeans(n_clusters=2)\n",
        "kmeans.fit(x_pca2)\n",
        "labels = kmeans.predict(x_pca2)\n",
        "df['clusters']=labels"
      ],
      "metadata": {
        "id": "pF1fuM2vW8o_"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#5 -  Análise descritiva dos clusters"
      ],
      "metadata": {
        "id": "IQ_Wcz2_X99O"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#analisando o cluster 1 \n",
        "c1=df[df['clusters']==0].shape\n",
        "c2=df[df['clusters']==1].shape\n",
        "print(c1,c2)\n",
        "#o cluster1 possui 331 registros e o cluster2 3099\n",
        "#Assim como apresentado no método da Silhouete\n",
        "#No gráfico com 2 clusters há 1 cluster mais registros que o outro"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6mbCOajDXZz1",
        "outputId": "1d49905f-4a6b-4e59-e92c-176f5af3b313"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(331, 1546) (3099, 1546)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Ansalisando descritivamento o cluster 1\n",
        "df[df['clusters']==0].sum().sort_values(ascending=False).iloc[0:20].plot(kind='bar');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 383
        },
        "id": "q692oJ1eiDQE",
        "outputId": "fc5afc84-416b-42b5-bc65-8cab86192307"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "wc = WordCloud(background_color='white')\n",
        "\n",
        "wc.generate_from_frequencies(df[ df['clusters'] == 0 ].sum().sort_values(ascending=False).iloc[0:100])\n",
        "wc.to_file('df.png')\n",
        "image = Image('df.png', width=600, height=300)\n",
        "image"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "id": "XgNv1Ir-izrW",
        "outputId": "60871707-0a9c-4735-b7b1-861cd9e04698"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<IPython.core.display.Image object>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "image/png": {
              "width": 600,
              "height": 300
            }
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Ansalisando descritivamento o cluster 2\n",
        "df[df['clusters']==1].sum().sort_values(ascending=False).iloc[0:20].plot(kind='bar');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 383
        },
        "id": "Xd5gqPvri-dO",
        "outputId": "1567a18c-95c5-4ca1-d4ad-a0e7f687a420"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "wc = WordCloud(background_color='white')\n",
        "\n",
        "wc.generate_from_frequencies(df[ df['clusters'] == 1 ].sum().sort_values(ascending=False).iloc[0:100])\n",
        "wc.to_file('df.png')\n",
        "image = Image('df.png', width=600, height=300)\n",
        "image"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "id": "zqGhYPTMjDz1",
        "outputId": "9449a90a-280b-46c6-ab8f-af4c4d48505a"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<IPython.core.display.Image object>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "image/png": {
              "width": 600,
              "height": 300
            }
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Pela análise dos 2 clusters percebe-se que:\n",
        "#1 o cluster 1 tem mais comentários relacionados às variáveis \"novembro\", \"poll-votação\", \"challenge\" e \"vote\"\n",
        "#2 o cluster 2 tem mais comentários relacionados às variáveis \"democrat\", \"bush\", \"kerry\" e \"clusters\""
      ],
      "metadata": {
        "id": "_qo_0Ph-k-dl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#6 - Conclusão"
      ],
      "metadata": {
        "id": "MrN104FzmQ4X"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Conclui-se que existem 2 clusters que dividem os dados\n",
        "#No cluster 1 existem 331 registros mais relacionados às variáveis \"novembro\", \"poll-votação\", \"challenge\" e \"vote\"\n",
        "#No cluster 2 existem 3099 registros mais relacionados às variáveis \"democrat\", \"bush\", \"kerry\" e \"clusters\""
      ],
      "metadata": {
        "id": "gc0tmPC9mUG2"
      },
      "execution_count": 49,
      "outputs": []
    }
  ]
}