04 - Desafio_do_modulo_1.ipynb

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    "colab": {
      "name": "Desafio do modulo 1.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "TPU"
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      "cell_type": "code",
      "metadata": {
        "id": "55z3dvv_Wr0p",
        "colab_type": "code",
        "outputId": "4d3945b5-bb6c-41c0-c4a2-8457f2a01eb1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "#importando as bibliotecas\n",
        "import pandas as pd #biblioteca utilizada para o tratamento de dados via dataframes \n",
        "import numpy as np #biblioteca utilizada para o tratamento de valores numéricos (vetores e matrizes)\n",
        "import matplotlib.pyplot as plt #biblioteca utilizada para construir os gráficos\n",
        "import seaborn as sns #biblioteca utilizada para os plots mais bonitos\n",
        "from sklearn.linear_model import LinearRegression\n",
        "import statsmodels.formula.api as sm\n",
        "import datetime as dt"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
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        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
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              "ok": true,
              "headers": [
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                  "content-type",
                  "application/javascript"
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              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 74
        }
      },
      "source": [
        "from google.colab import files  #biblioteca utilizada para carregar os dados para o google colab\n",
        "uploaded = files.upload()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-2625d5e1-d0c2-4f3d-acc1-c06d276bb073\" name=\"files[]\" multiple disabled />\n",
              "     <output id=\"result-2625d5e1-d0c2-4f3d-acc1-c06d276bb073\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving comp_bikes_mod.csv to comp_bikes_mod.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KdbJrDE3XOqk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#realizando a leitura do arquivo (dataset)\n",
        "nome_do_arquivo=\"comp_bikes_mod.csv\"\n",
        "dataframe_bikes_mod= pd.read_csv(nome_do_arquivo)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KV5O2EwsXfhy",
        "colab_type": "code",
        "outputId": "94a2931e-fc0c-4a21-d439-b9a14f43baad",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "#Lendo as 5 primeiras linhas do dataset\n",
        "dataframe_bikes_mod.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\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>instant</th>\n",
              "      <th>dteday</th>\n",
              "      <th>season</th>\n",
              "      <th>yr</th>\n",
              "      <th>mnth</th>\n",
              "      <th>hr</th>\n",
              "      <th>holiday</th>\n",
              "      <th>weekday</th>\n",
              "      <th>workingday</th>\n",
              "      <th>weathersit</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>hum</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>casual</th>\n",
              "      <th>registered</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.81</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>16.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>40.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>32.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   instant      dteday  season   yr  ...  windspeed  casual  registered   cnt\n",
              "0      1.0         NaN     1.0  0.0  ...        0.0     3.0        13.0  16.0\n",
              "1      2.0  2011-01-01     1.0  0.0  ...        0.0     8.0        32.0  40.0\n",
              "2      3.0  2011-01-01     1.0  0.0  ...        0.0     5.0        27.0  32.0\n",
              "3      4.0  2011-01-01     1.0  0.0  ...        0.0     3.0        10.0  13.0\n",
              "4      5.0  2011-01-01     1.0  0.0  ...        0.0     0.0         1.0   1.0\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9HiLKh7nXprs",
        "colab_type": "code",
        "outputId": "c3bdb255-a7a2-449a-86dd-e48f6357716d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        }
      },
      "source": [
        "dataframe_bikes_mod.info() #verificando os tipos de variáveis e se existem ou não valores nulos"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 17379 entries, 0 to 17378\n",
            "Data columns (total 17 columns):\n",
            " #   Column      Non-Null Count  Dtype  \n",
            "---  ------      --------------  -----  \n",
            " 0   instant     15641 non-null  float64\n",
            " 1   dteday      15641 non-null  object \n",
            " 2   season      15641 non-null  float64\n",
            " 3   yr          15641 non-null  float64\n",
            " 4   mnth        15641 non-null  float64\n",
            " 5   hr          15641 non-null  float64\n",
            " 6   holiday     15641 non-null  float64\n",
            " 7   weekday     15641 non-null  float64\n",
            " 8   workingday  15641 non-null  float64\n",
            " 9   weathersit  15641 non-null  float64\n",
            " 10  temp        15641 non-null  float64\n",
            " 11  atemp       15641 non-null  float64\n",
            " 12  hum         15641 non-null  float64\n",
            " 13  windspeed   15641 non-null  float64\n",
            " 14  casual      15641 non-null  float64\n",
            " 15  registered  15641 non-null  float64\n",
            " 16  cnt         15641 non-null  float64\n",
            "dtypes: float64(16), object(1)\n",
            "memory usage: 2.3+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hFTTkeiDXvV1",
        "colab_type": "code",
        "outputId": "4c5e8e9a-1a03-4c35-de7f-dfe39ca45cdd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Verificando valores nulos na coluna dteday\n",
        "dataframe_bikes_mod['dteday'].isnull().sum()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1738"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0piDK7aWvHnd",
        "colab_type": "code",
        "outputId": "607843a8-f231-489a-b7cb-06441856db42",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Quantidade de linhas e atributos do dataset\n",
        "#(17379, 17)\n",
        "dataframe_bikes_mod.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(17379, 17)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BQumH1jQYBIU",
        "colab_type": "code",
        "outputId": "81ded57e-7538-4d90-bbfa-1fd11b2f5fab",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        }
      },
      "source": [
        "#Tratando valores nulos e criando um novo dataset.\n",
        "df_bikes_novo = dataframe_bikes_mod.dropna(subset=['dteday'])\n",
        "df_bikes_novo"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>instant</th>\n",
              "      <th>dteday</th>\n",
              "      <th>season</th>\n",
              "      <th>yr</th>\n",
              "      <th>mnth</th>\n",
              "      <th>hr</th>\n",
              "      <th>holiday</th>\n",
              "      <th>weekday</th>\n",
              "      <th>workingday</th>\n",
              "      <th>weathersit</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>hum</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>casual</th>\n",
              "      <th>registered</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.0</td>\n",
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              "      <td>32.0</td>\n",
              "      <td>40.0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
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              "      <td>0.2727</td>\n",
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              "      <td>0.0000</td>\n",
              "      <td>5.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>32.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.75</td>\n",
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              "      <td>3.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.24</td>\n",
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              "      <td>0.75</td>\n",
              "      <td>0.0896</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17373</th>\n",
              "      <td>17374.0</td>\n",
              "      <td>2012-12-31</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.26</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.48</td>\n",
              "      <td>0.1343</td>\n",
              "      <td>10.0</td>\n",
              "      <td>112.0</td>\n",
              "      <td>122.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17374</th>\n",
              "      <td>17375.0</td>\n",
              "      <td>2012-12-31</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>19.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.26</td>\n",
              "      <td>0.2576</td>\n",
              "      <td>0.60</td>\n",
              "      <td>0.1642</td>\n",
              "      <td>11.0</td>\n",
              "      <td>108.0</td>\n",
              "      <td>119.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17375</th>\n",
              "      <td>17376.0</td>\n",
              "      <td>2012-12-31</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.26</td>\n",
              "      <td>0.2576</td>\n",
              "      <td>0.60</td>\n",
              "      <td>0.1642</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>89.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17377</th>\n",
              "      <td>NaN</td>\n",
              "      <td>2012-12-31</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.26</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.56</td>\n",
              "      <td>0.1343</td>\n",
              "      <td>13.0</td>\n",
              "      <td>48.0</td>\n",
              "      <td>61.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17378</th>\n",
              "      <td>NaN</td>\n",
              "      <td>2012-12-31</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.65</td>\n",
              "      <td>0.1343</td>\n",
              "      <td>12.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>49.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>15641 rows × 17 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       instant      dteday  season   yr  ...  windspeed  casual  registered    cnt\n",
              "1          2.0  2011-01-01     1.0  0.0  ...     0.0000     8.0        32.0   40.0\n",
              "2          3.0  2011-01-01     1.0  0.0  ...     0.0000     5.0        27.0   32.0\n",
              "3          4.0  2011-01-01     1.0  0.0  ...     0.0000     3.0        10.0   13.0\n",
              "4          5.0  2011-01-01     1.0  0.0  ...     0.0000     0.0         1.0    1.0\n",
              "5          6.0  2011-01-01     1.0  0.0  ...     0.0896     0.0         1.0    1.0\n",
              "...        ...         ...     ...  ...  ...        ...     ...         ...    ...\n",
              "17373  17374.0  2012-12-31     1.0  1.0  ...     0.1343    10.0       112.0  122.0\n",
              "17374  17375.0  2012-12-31     NaN  1.0  ...     0.1642    11.0       108.0  119.0\n",
              "17375  17376.0  2012-12-31     1.0  1.0  ...     0.1642     NaN         NaN   89.0\n",
              "17377      NaN  2012-12-31     1.0  1.0  ...     0.1343    13.0        48.0   61.0\n",
              "17378      NaN  2012-12-31     NaN  1.0  ...     0.1343    12.0        37.0   49.0\n",
              "\n",
              "[15641 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1pxiZnSpZSdI",
        "colab_type": "code",
        "outputId": "82b76fd5-910c-4695-ed82-474448f4438d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        }
      },
      "source": [
        "#Considere o dataset após a retirada das linhas que continham valores nulos para a coluna \"dteday\". Qual é o desvio padrão para os dados da coluna \"windspeed\" (velocidade do vento normalizada)?\n",
        "df_bikes_novo['windspeed'].describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    14082.000000\n",
              "mean         0.189552\n",
              "std          0.122309\n",
              "min          0.000000\n",
              "25%          0.104500\n",
              "50%          0.164200\n",
              "75%          0.253700\n",
              "max          0.850700\n",
              "Name: windspeed, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YiA-Fz4fZlP8",
        "colab_type": "code",
        "outputId": "961eb75f-d70a-474d-9caa-86668ff111bb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        }
      },
      "source": [
        "#Preencha os valores nulos das colunas \"hum\",\"cnt\" e \"casual\" com os valores médios. \n",
        "#Utilize as variáveis \"hum\" e \"casual\" como independentes e a \"cnt\" como dependente. \n",
        "#Aplique uma regressão linear. Qual o valor de R2? Utilize as entradas como teste.\n",
        "\n",
        "df_bikes_novo.fillna(df_bikes_novo.mean(), inplace=True)\n",
        "df_bikes_novo.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/pandas/core/generic.py:6245: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  self._update_inplace(new_data)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "\n",
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              "        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>instant</th>\n",
              "      <th>dteday</th>\n",
              "      <th>season</th>\n",
              "      <th>yr</th>\n",
              "      <th>mnth</th>\n",
              "      <th>hr</th>\n",
              "      <th>holiday</th>\n",
              "      <th>weekday</th>\n",
              "      <th>workingday</th>\n",
              "      <th>weathersit</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>hum</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>casual</th>\n",
              "      <th>registered</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.422432</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>8.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>40.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>5.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>32.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>3.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.683053</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2576</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0896</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   instant      dteday  season   yr  ...  windspeed  casual  registered   cnt\n",
              "1      2.0  2011-01-01     1.0  0.0  ...     0.0000     8.0        32.0  40.0\n",
              "2      3.0  2011-01-01     1.0  0.0  ...     0.0000     5.0        27.0  32.0\n",
              "3      4.0  2011-01-01     1.0  0.0  ...     0.0000     3.0        10.0  13.0\n",
              "4      5.0  2011-01-01     1.0  0.0  ...     0.0000     0.0         1.0   1.0\n",
              "5      6.0  2011-01-01     1.0  0.0  ...     0.0896     0.0         1.0   1.0\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xrVeaX1xnVmB",
        "colab_type": "code",
        "outputId": "b2077d42-92a8-4dbb-a3b5-8cd52c759b28",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Conferindo se os campos foram preenchidos com a media das colunas.\n",
        "df_bikes_novo['hum'].isnull().sum()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J8TUwfxeiGh-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Criando Varivel independentes e Dependentes\n",
        "#X = df_bikes_novo['hum'].values,df_bikes_novo['casual'].values\n",
        "X = df_bikes_novo['hum'].values #Variavel Independente\n",
        "y = df_bikes_novo['cnt'].values #Variavel Dependente ou Resposta"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VJJf89AXvpO8",
        "colab_type": "code",
        "outputId": "264be6ba-77cb-4003-b7bf-76c9c2a8c597",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(X)\n",
        "#print(y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0.8  0.8  0.75 ... 0.6  0.56 0.65]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vDtqPJ6vtNhd",
        "colab_type": "code",
        "outputId": "f3296ca1-7a58-4a8d-8fe4-ed822637cf8c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "#Correlação das variaveis X,y.\n",
        "correlacao = np.corrcoef(X, y)\n",
        "correlacao"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1.        , -0.29247198],\n",
              "       [-0.29247198,  1.        ]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iTFVHQdFug0a",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Fazer o Reshape a variavel X\n",
        "X = X.reshape(-1, 1 ) #-1 não vai mexer nas linhas e 1 vai adicionar nova coluna e vai colocar no formato de matrix"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aTNjsUnHy4xI",
        "colab_type": "code",
        "outputId": "85655dcc-d510-49b8-ab82-a3d510738fcb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "modelo = LinearRegression()\n",
        "modelo.fit(X, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "svUuW_pszjKE",
        "colab_type": "code",
        "outputId": "751cf12c-2f89-4b0d-fe1d-3caed5badf48",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "modelo.intercept_ #Valor de interceptação"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "361.6317152662042"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jpBXEIPNzsaC",
        "colab_type": "code",
        "outputId": "997c51f5-4b4a-466e-f94a-84e1e838c9a6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "modelo.coef_ #inclinação da linha"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-274.90843085])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C9eEi3qOz_Iu",
        "colab_type": "code",
        "outputId": "6b473bdb-4b58-41a6-d638-d1e470c73817",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "modelo.score(X, y) #R2 quando o valor de X explica nossa previsão."
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.0855398563193458"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gKqfKUsE0YOQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "previsoes = modelo.predict(X) #Criando a variavel previsões"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JKRTgvEk1epJ",
        "colab_type": "code",
        "outputId": "ef3a017f-77bd-4675-d5d3-67f0767952d5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "print(previsoes)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[141.70497059 141.70497059 155.45039213 ... 196.68665676 207.68299399\n",
            " 182.94123521]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x-RW0XYH11YN",
        "colab_type": "code",
        "outputId": "6957a449-4310-4c4a-b4ea-5be2068424d4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 444
        }
      },
      "source": [
        "modelo_ajustado = sm.ols(formula = 'cnt ~ hum', data = df_bikes_novo)\n",
        "modelo_treinado = modelo_ajustado.fit()\n",
        "modelo_treinado.summary()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<table class=\"simpletable\">\n",
              "<caption>OLS Regression Results</caption>\n",
              "<tr>\n",
              "  <th>Dep. Variable:</th>           <td>cnt</td>       <th>  R-squared:         </th>  <td>   0.086</td>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th>  <td>   0.085</td>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th>  <td>   1463.</td>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Date:</th>             <td>Mon, 25 May 2020</td> <th>  Prob (F-statistic):</th>  <td>4.64e-306</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Time:</th>                 <td>14:05:13</td>     <th>  Log-Likelihood:    </th> <td>-1.0200e+05</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>No. Observations:</th>      <td> 15641</td>      <th>  AIC:               </th>  <td>2.040e+05</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Df Residuals:</th>          <td> 15639</td>      <th>  BIC:               </th>  <td>2.040e+05</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>      <td> </td>     \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>      <td> </td>     \n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Intercept</th> <td>  361.6317</td> <td>    4.697</td> <td>   76.993</td> <td> 0.000</td> <td>  352.425</td> <td>  370.838</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>hum</th>       <td> -274.9084</td> <td>    7.188</td> <td>  -38.248</td> <td> 0.000</td> <td> -288.997</td> <td> -260.820</td>\n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "  <th>Omnibus:</th>       <td>3636.865</td> <th>  Durbin-Watson:     </th> <td>   0.585</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(Omnibus):</th>  <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>7857.774</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Skew:</th>           <td> 1.350</td>  <th>  Prob(JB):          </th> <td>    0.00</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Kurtosis:</th>       <td> 5.184</td>  <th>  Cond. No.          </th> <td>    7.67</td>\n",
              "</tr>\n",
              "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
            ],
            "text/plain": [
              "<class 'statsmodels.iolib.summary.Summary'>\n",
              "\"\"\"\n",
              "                            OLS Regression Results                            \n",
              "==============================================================================\n",
              "Dep. Variable:                    cnt   R-squared:                       0.086\n",
              "Model:                            OLS   Adj. R-squared:                  0.085\n",
              "Method:                 Least Squares   F-statistic:                     1463.\n",
              "Date:                Mon, 25 May 2020   Prob (F-statistic):          4.64e-306\n",
              "Time:                        14:05:13   Log-Likelihood:            -1.0200e+05\n",
              "No. Observations:               15641   AIC:                         2.040e+05\n",
              "Df Residuals:                   15639   BIC:                         2.040e+05\n",
              "Df Model:                           1                                         \n",
              "Covariance Type:            nonrobust                                         \n",
              "==============================================================================\n",
              "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
              "------------------------------------------------------------------------------\n",
              "Intercept    361.6317      4.697     76.993      0.000     352.425     370.838\n",
              "hum         -274.9084      7.188    -38.248      0.000    -288.997    -260.820\n",
              "==============================================================================\n",
              "Omnibus:                     3636.865   Durbin-Watson:                   0.585\n",
              "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             7857.774\n",
              "Skew:                           1.350   Prob(JB):                         0.00\n",
              "Kurtosis:                       5.184   Cond. No.                         7.67\n",
              "==============================================================================\n",
              "\n",
              "Warnings:\n",
              "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
              "\"\"\""
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dLnzaGqE22AP",
        "colab_type": "code",
        "outputId": "05be87c3-7b45-44c1-9963-78dcb7cf75f3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "#Grafico de dispersão com linha de regressão\n",
        "plt.scatter(X, y)\n",
        "plt.plot(X, previsoes, color = 'red')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7fd3a709c668>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v28vBQWY3Cia",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Regressão linear multipla\n",
        "#Preparando os Dados\n",
        "xData = df_bikes_novo[['hum','casual']]\n",
        "yData = df_bikes_novo['cnt']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w4gpCLiKDLat",
        "colab_type": "code",
        "outputId": "dfcaf2c9-b8c8-41bf-c8fc-ed214bb17aa3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#utiliza as funções do sklearn para construir a regressão linear\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.metrics import mean_squared_error\n",
        "\n",
        "reg= LinearRegression() #objeto para a regressão linear\n",
        "regressao= reg.fit (xData,yData) # realiza a regressão\n",
        "\n",
        "previsao=reg.predict(xData)\n",
        "\n",
        "MSE= mean_squared_error(yData,previsao) # encontra o MSE através do sklearn\n",
        "print('MSE: ', MSE)\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "MSE:  17559.11536548527\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qzt55ASiDOqi",
        "colab_type": "code",
        "outputId": "40324ea0-a452-45d9-bcfa-eeaf80eddc07",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "#parâmetros encontrados\n",
        "print('Y = {}X {}'.format(reg.coef_,reg.intercept_))\n",
        "\n",
        "from sklearn.metrics import r2_score #método para o cálculo do R2\n",
        "\n",
        "R_2 = r2_score(yData, previsao)  #realiza o cálculo do R2\n",
        "\n",
        "print(\"Coeficiente de Determinação (R2):\", R_2)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Y = [-99.75012328   2.21512197]X 173.29337505135578\n",
            "Coeficiente de Determinação (R2): 0.4059859251122173\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nW4yw8AW7TTh",
        "colab_type": "code",
        "outputId": "5db1eaa2-3941-47ab-ba2b-d42701f5bd96",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465
        }
      },
      "source": [
        "modelo_ajustado2 = sm.ols(formula = 'cnt ~ hum + casual', data = df_bikes_novo)\n",
        "modelo_treinado2 = modelo_ajustado2.fit()\n",
        "modelo_treinado2.summary()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<table class=\"simpletable\">\n",
              "<caption>OLS Regression Results</caption>\n",
              "<tr>\n",
              "  <th>Dep. Variable:</th>           <td>cnt</td>       <th>  R-squared:         </th> <td>   0.406</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.406</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   5344.</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Date:</th>             <td>Mon, 25 May 2020</td> <th>  Prob (F-statistic):</th>  <td>  0.00</td>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Time:</th>                 <td>14:05:45</td>     <th>  Log-Likelihood:    </th> <td> -98626.</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>No. Observations:</th>      <td> 15641</td>      <th>  AIC:               </th> <td>1.973e+05</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Df Residuals:</th>          <td> 15638</td>      <th>  BIC:               </th> <td>1.973e+05</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Df Model:</th>              <td>     2</td>      <th>                     </th>     <td> </td>    \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Intercept</th> <td>  173.2934</td> <td>    4.305</td> <td>   40.251</td> <td> 0.000</td> <td>  164.854</td> <td>  181.732</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>hum</th>       <td>  -99.7501</td> <td>    6.099</td> <td>  -16.355</td> <td> 0.000</td> <td> -111.705</td> <td>  -87.796</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>casual</th>    <td>    2.2151</td> <td>    0.024</td> <td>   91.848</td> <td> 0.000</td> <td>    2.168</td> <td>    2.262</td>\n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "  <th>Omnibus:</th>       <td>5515.343</td> <th>  Durbin-Watson:     </th> <td>   0.888</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(Omnibus):</th>  <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>21209.647</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Skew:</th>           <td> 1.743</td>  <th>  Prob(JB):          </th> <td>    0.00</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Kurtosis:</th>       <td> 7.515</td>  <th>  Cond. No.          </th> <td>    406.</td> \n",
              "</tr>\n",
              "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
            ],
            "text/plain": [
              "<class 'statsmodels.iolib.summary.Summary'>\n",
              "\"\"\"\n",
              "                            OLS Regression Results                            \n",
              "==============================================================================\n",
              "Dep. Variable:                    cnt   R-squared:                       0.406\n",
              "Model:                            OLS   Adj. R-squared:                  0.406\n",
              "Method:                 Least Squares   F-statistic:                     5344.\n",
              "Date:                Mon, 25 May 2020   Prob (F-statistic):               0.00\n",
              "Time:                        14:05:45   Log-Likelihood:                -98626.\n",
              "No. Observations:               15641   AIC:                         1.973e+05\n",
              "Df Residuals:                   15638   BIC:                         1.973e+05\n",
              "Df Model:                           2                                         \n",
              "Covariance Type:            nonrobust                                         \n",
              "==============================================================================\n",
              "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
              "------------------------------------------------------------------------------\n",
              "Intercept    173.2934      4.305     40.251      0.000     164.854     181.732\n",
              "hum          -99.7501      6.099    -16.355      0.000    -111.705     -87.796\n",
              "casual         2.2151      0.024     91.848      0.000       2.168       2.262\n",
              "==============================================================================\n",
              "Omnibus:                     5515.343   Durbin-Watson:                   0.888\n",
              "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            21209.647\n",
              "Skew:                           1.743   Prob(JB):                         0.00\n",
              "Kurtosis:                       7.515   Cond. No.                         406.\n",
              "==============================================================================\n",
              "\n",
              "Warnings:\n",
              "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
              "\"\"\""
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m3kmpDIH8hd4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Considere o dataset após a retirada das linhas que continham valores nulos para a coluna \"dteday\". \n",
        "#Selecione as colunas \"season\", \"temp\", \"atemp\", \"hum\", \"windspeed\".\n",
        "#Plot a matriz de correlação. Sobre as variáveis \"hum\" e \"cnt\" é CORRETO afirmar:\n",
        "df_bikes_all = df_bikes_novo[['season', 'temp', 'atemp', 'hum', 'windspeed','cnt']]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7c8LN5Ed9VtG",
        "colab_type": "code",
        "outputId": "26fc94c8-e566-4f5d-cad8-0ab96ec5fae2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "df_bikes_all.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>season</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>hum</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>40.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>32.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>13.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2576</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0896</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   season  temp   atemp   hum  windspeed   cnt\n",
              "1     1.0  0.22  0.2727  0.80     0.0000  40.0\n",
              "2     1.0  0.22  0.2727  0.80     0.0000  32.0\n",
              "3     1.0  0.24  0.2879  0.75     0.0000  13.0\n",
              "4     1.0  0.24  0.2879  0.75     0.0000   1.0\n",
              "5     1.0  0.24  0.2576  0.75     0.0896   1.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Bw5PV_6U9cNd",
        "colab_type": "code",
        "outputId": "700c1b84-8efa-44b8-98f4-130462714893",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 596
        }
      },
      "source": [
        "#realizando o plot da matriz de correlação\n",
        "plt.figure(figsize=(15, 10))\n",
        "correlacao = df_bikes_all.corr()  #construindo a matriz de correlação\n",
        "sns.heatmap(correlacao, annot=True,vmin=-1, vmax=1,center= 0)  #plotando a matriz de correlação com o seaborn\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R11bCFndyeNI",
        "colab_type": "code",
        "outputId": "08495080-87ac-4e45-a66e-e83340213a54",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "df_bikes_all.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>season</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>hum</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>40.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>32.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>13.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2576</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0896</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   season  temp   atemp   hum  windspeed   cnt\n",
              "1     1.0  0.22  0.2727  0.80     0.0000  40.0\n",
              "2     1.0  0.22  0.2727  0.80     0.0000  32.0\n",
              "3     1.0  0.24  0.2879  0.75     0.0000  13.0\n",
              "4     1.0  0.24  0.2879  0.75     0.0000   1.0\n",
              "5     1.0  0.24  0.2576  0.75     0.0896   1.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KUI0eNJSbEnv",
        "colab_type": "code",
        "outputId": "adcefa21-923d-47dc-9766-05920ff0f73a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "df_bikes_novo.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>instant</th>\n",
              "      <th>dteday</th>\n",
              "      <th>season</th>\n",
              "      <th>yr</th>\n",
              "      <th>mnth</th>\n",
              "      <th>hr</th>\n",
              "      <th>holiday</th>\n",
              "      <th>weekday</th>\n",
              "      <th>workingday</th>\n",
              "      <th>weathersit</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>hum</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>casual</th>\n",
              "      <th>registered</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.422432</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>8.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>40.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>5.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>32.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>3.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.683053</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2576</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0896</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   instant      dteday  season   yr  ...  windspeed  casual  registered   cnt\n",
              "1      2.0  2011-01-01     1.0  0.0  ...     0.0000     8.0        32.0  40.0\n",
              "2      3.0  2011-01-01     1.0  0.0  ...     0.0000     5.0        27.0  32.0\n",
              "3      4.0  2011-01-01     1.0  0.0  ...     0.0000     3.0        10.0  13.0\n",
              "4      5.0  2011-01-01     1.0  0.0  ...     0.0000     0.0         1.0   1.0\n",
              "5      6.0  2011-01-01     1.0  0.0  ...     0.0896     0.0         1.0   1.0\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cVFcRwVUfYS5",
        "colab_type": "code",
        "outputId": "a7ba3303-44af-4d84-e27f-25cb5bb6933b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        }
      },
      "source": [
        "#Considere o dataset após a retirada das linhas que continham valores nulos para a coluna \"dteday\". \n",
        "#Considerendo o boxplot da variável \"windspeed\" (velocidade do vento) é CORRETO afirmar?\n",
        "ax = sns.boxplot(x=\"windspeed\", hue=\"windspeed\", data=df_bikes_novo, palette=\"Set3\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Je75K0qcl/YukVyV1Vo6b2VIzu93d35D0mpn9anLczKxyq+M5ld9Zq+q6QFYIMPLwrMpf1g+5+3+q/OOEZt5+qOc3JO1JbhFM//FVn5L0neT4Wkl/mRx/VVLBzEYlvVvl+7hvqfz2p19K/jHvRZVvPUjluG5Ljr+s//9xNjuS85xU/Z9eAswJ74aGBcXKP2X77919bfBUgIbYAQNAEHbAABCEHTAABCHAABCEAANAEAIMAEEIMAAE+T91rSIqj5aewAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6ldjLQ1CuShS",
        "colab_type": "code",
        "outputId": "ea2130f7-2856-4260-876f-e4d82a661463",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "sns.pairplot(df_bikes_all, hue='windspeed')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:283: UserWarning: Data must have variance to compute a kernel density estimate.\n",
            "  warnings.warn(msg, UserWarning)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7fba9af53908>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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tis7nX92/ZonJRTedwKyrv0j58TuY/6bPUt56H1dcfHs9IdGqM3xh6XvZ3rcrbUNfu0AYaH8/Pevxi13P8vGLqF8kD/QZcefO5+ttigdO/nft2MOai2fXLyTam1wqKuY9l2frF1ID7fBjJxq17JqLZ3PXjj21Y0j7jLhre6k+fcPShRTzBe7YtY4vLH0vd+z+Vfpcrc+IB3f8lI9ccDut2VGVtcQklyucwGWX3c7zW+7gTRfcSMb0NIzZO3Y8w127NjOzBd72xuFx9543e3xryzP1ZfOO5rYLV3D/i7u5dcUifrpjF+++3BsVqz/bkf5q9svtfQ1jNqNj7tj5CJGpDPs+DHw/WhzFt7Z+j2J+Fl9cfD3NKkMuJzE6lczMFvj8srfUExLFQguuYlSM3rDkdXz32a3ctWMXa0Y815ZTXPcGZ1hZ+5k3ZAhNxPXLZg2LuxsuPIG7duzh1hWLcBT17Tzw4h5uvWgB7QWPrz/7Alf9gTssnt/2xgzffPpgPXaf6Hyxtv8C7YU8tzWI3zt3Pg/AT3Y+yzWjvh8eJzRnhr2O25Yv5uRC07D34vPL3sw0Lf1FvFwFN+Y9bx7+3l99WZZHno142xuzNBdi7tz5PKuWnMsd25/n1uWL+cX2naxZPvzzbC94zCo4XL/shFHl2C+399Wnb7loNokN+e6zW4fE7dMUCwWuX7yUO3duZ7qXrfcNcdeOXaxa8rphcXDjBa9nRs7jpHyBO3dtqc1vZrqX4baR34ulr2VmNsu/bV1PbCvcctGsEcc3izt3PT1kG86osnbV0rnct++33LrinBHzF3DnrkdYc/4f8/DT/4enn/8xX7zg6noC4s5dj/OFC95Rnx7oM6LJRLR40/nQ61fXExIDfUbMyJ4wbN4Hz1vNzMLJFPJSrovJTw3NcE8kpdRlwCcbjKbxN8BrrbUfqnVg+Q5r7bsOta0lS5bYjRs3Hr2DPcoe+WFA335D20maji0Jb/pUAa2nfDcZk8lR+TAme9wOGDWahpslMq9sNA1U2nP30NE0BnrQPuRoGrV5Lz2aBjiKhqNpOCREU2M0DYnbI/RyRtNQRmNlNI3xNO5xO1ViduRoGgVtUPXRNNIRDl75aBppOfhKRtMIkjR2j81oGuloCBM8msaUKGsHRtOwRqEm4Wga6cgZI0fTSM/tY42mMVjujs9oGsaGaOWS0R795uWOpuEREh2L0TTkRkNMiONlNI1hlFI3ARuttT8Hvg58Vym1FTgIXDOhB3cM9HcY8tMUhekaEyf4nZbmE6WMEJODdlx0a/uwedkRyxRpAtJqTofnZRRVw65Dx+dGrOUIjlhMflq7FJqHx3LTiGVaOdQNj8OMBnOLDeYNXedwoqyJ/JD/Rz4nvwi/GmQch/YRTTUARs85Ei/vsnDsmB1+szQyVhsZOaza8Giu/XrdYL12iftxlcvlxnhHNeNx+9Bo+LyjafzP3s1HtHRhxHSj74JbmzvyucwYywsxFRw3yQhr7T3APbX/PztkfgC8c2KO6thLYkulxzJ9jibXmiYg/C5D84kT3aJGCCGEEEIIIYQYH3KHe5wJeixYyLZosrW2epWe46MpjRBCCCGEEEIIMR4kGXGcCXrTxINXADcL2oVK9xQYn0oIIYQQQgghhKiRZMRxJuhNEw9eU9pRX7ZJUemWmhFCCCGEEEIIIaYOSUYcZwZrRqRNNLxmhS81I4QQQgghhBBCTCGSjDjOBL0WNwe6NkZRtllqRgghhBBCCCGEmFokGXGcCXptvVYEpDUkkhDiUBISQgghhBBCCCGmBklGHGcqvQavaTAZkcmn/4dlSUYIIYQQQgghhJgaJBlxnAnLtp6AAMjk0r/VfklGCCGEEEIIIYSYGiQZcRyxxhIFkMkOzhtITFSlZoQQQgghhBBCiClCkhHHkSgALLjZBs00pGaEEEIIIYQQQogpQpIRx5HQTxMOQ5MRrgcoaaYhhBBCCCGEEGLqkGTEcSQaSEbkBucprcjkpJmGEEIIIYQQQoipQ5IRx5GBmhGZITUjADI5Jc00hBBCCCGEEEJMGZKMOI6EldHNNADcnJJmGkIIIYQQQgghpgxJRhxHGjXTAHCzEFUkGSGEEEIIIYQQYmqQZMRxJPQt2gXtNGimIckIIYQQQgghhBBTxIQmI5RSOaXUQ0qpx5RSm5VSqxss816lVIdS6tHa4wMTcazHQuhb3JwaNd/1FEkIJpGEhBBCCCGEEEKIyc+d4P1XgT+w1vYrpTLAA0qpX1prHxyx3A+stR+ZgOM7piK/NpTnCAPNNiLfkm0ZnawQQgghhBBCCCEmkwmtGWFT/bXJTO3xqv35P/QtmUY1I2odWoaVY31EQgghhBBCCCHE+JvwPiOUUo5S6lFgP/Bra+2GBov9iVLqcaXUj5VSc8bYzgeVUhuVUhs7OjqO6jEfLaFvcbOj5w/Mk04sp56pELfi1UfiVkw2ErNiMpK4FUJMdROejLDWJtba1wOnABcopV4zYpE7gPnW2nOBXwPfHmM7X7XWLrHWLjnxxBOP7kEfJVFljD4j6jUjJBkx1UyFuBWvPhK3YrKRmBWTkcStEGKqm/BkxABrbTfwO+AtI+Z3WmurtcmvAYuP9bEdC0lsSaLBxMNQA/MGhv4UQgghhBBCCCEms4keTeNEpdS02v954I+AZ0YsUxwy+Tbg6WN3hMdOXKv10LADS2mmIYQQQgghhBBiCpno0TSKwLeVUg5pYuSH1tpfKKVuAjZaa38OfFQp9TYgBg4C752woz2KolrdD8cbXTNCOwrtpn1KCCGEEEIIIYQQk92EJiOstY8D5zWY/9kh/68EVh7L45oIcTVNNDiZxs+7WYhkNA0hhBBCCCGEEFPAcdNnxKtdFAw00xhdMwLSfiOkmYYQQgghhBBCiKlAkhHHiThI/45dM0JJMw0hhBBCCCGEEFOCJCOOE/VmGmPWjJChPYUQQgghhBBCTA2SjDhODDTTcBqMpgG1ZhpSM0IIIYQQQgghxBQgyYjjRFwFpUA7jZ93vXQZYyQhIYQQQgghhBBicpNkxHEiDiyOB0qN3YElQCwjagghhBBCCCGEmOQkGXGciKt2zP4iYDAZMdCcQwghhBBCCCGEmKwkGXGciAI75kgakHZgCdKJpRBCCCGEEEKIyU+SEceJuDr2SBow+FwkyQghhBBCCCGEEJOcJCOOE1FgcQ+jZoQkI4QQQgghhBBCTHaSjDhOxMGha0bU+4yQDiyFEEIIIYQQQkxykow4TsTVQ/cZ4WQAJTUjhBBCCCGEEEJMfpKMOA4YY0miQ9eMUErhepKMEEIIIYQQQggx+Uky4jgQV9O/jnfo5dysktE0hBBCCCGEEEJMepKMOA7EQZpgcDNj14yAtBNLqRkhhBBCCCGEEGKyk2TEcSCupgmGl6oZ4XhKkhFCCCGEEEIIISY9dyJ3rpTKAfcB2dqx/Nhae+OIZbLAd4DFQCfwbmvtjmN8qEdVFKR/h3Zg2fNQhP9MwrQ3ZMif6gBpzYhy3+Ft0xrLrh9UqbxgmPdnWfInO+N81EIcW9YaqpUu0C5B4mNsjFYuOaeFatIHaKrkAQeXLE1hiE4M1lUkOYfuJMZYi1aKrKMJE0ViLY5SKCwWyDua0ChiA1ltUYmHMaA1WCcmtOCqBG0yYBRoiFRCTkM+iFGJwToaP6sJrKXgKPzEEFtwFeQdRSWx9WnPsQRJhFYKLKAs09wcTlTGJCHa8XAL01FK8sbHoyAK6A5DYmtxlWKa55HL5A65zlhxnHGaSPCoxB6xAVdDsxvSlyR4WhMaiK0lqzXGKiJjcbXCcyzago0zGKPQ2qLcBD8BrSCjDNpkyGDJhwHKWKxW9Odc+o3B1YqMUlSNxdS+DzkHKklEYi2u1hS0ITI+jnJJTERGZcipDMYkVAiJbYJWDko7OMqhJTsdLTF71FhriCrdBKZKYhMc7ZLVOaKkgnKb6UsUjtIklnpseloRGYNV4CioJglZx8FYTWwsWoGrLI5WVJOYxFqy2sVYTUEpCkGMSizWUfg5l7Id/GHE1YogMel+HKgmYKylydVU40w9nrNuRJDE5B2HJPIwNi1bM25EHKXx62iwbkg5TtdpccABuhNFXIv5aY6lK4lJrMFRmumOxsHSZfqJbEJGOUzXbWRyh/4uikMLggCfhMQ4WCCxCmMtrgJLhKM1xkJswKnFWJg4JBZyDjjGITEqLYe0IRtVUbHFOJpKxsM4MZFxiY1GK/C0ITIQW4WrLFk3JjSGxKZlk6sVHopCaNCJxTqa3kyGai2+HJ1QTZLBYzGQ2PTYXGWIra6d8yHvWAIzJPa1JaM0lSRJyz2lyDlpbeWKMSS12MtpiIwmtg7Gpt8lRYIFHGVJMCgU1nokBhwNLU5EvzFEZmDfEBiH2KTlrasNiU2wGDIKXBOhsLg6S2RiYhvhaAePDCERsYlxlCZLhlx2Oo47obdyQrxiEx3BVeAPrLX9SqkM8IBS6pfW2geHLHMt0GWtPV0pdQ3weeDdE3GwR0u9mUatA8uw09C3KQGg696I3ByNchVuVhFVzGFts/uxhJ7H0m3suSPk9A/lj8KRC3FsWGvoPbiV3q7tODPm8sN1n6TbLzGtUORdK26no2c3NC3kX7du4a/PWsoJ3b3Y79xDfLCMmtGE+4HLuN/v4O+feIw/P30hl89dwMp1myn5AcVCjlVLzqAn8FkwbSYHqzEP7unh7aecxPfvDujut0xrVlxzeZb1nX1cOLOZH9wd1ue/580ehaCX5Gv3YGv7a7r2Mu72y5w7q41vbN7BfaVOLinO5P2L5g/b75rl5/Dj7Wt5uHMHf3felfxg28N84KyLmeM4PPOtt+K1FFnw1i+RP+F0SUgcZ4IoYEe5l89s+A9Kfh/FQgufX/YW5jcxZkJirDhefsZfsfiMv+ZgJcPqewL2lS2zmxQ3XpYF5WOUy8p1m5mR9fiv557OzRt2stcPaS94/NNlZ0CQ4Xt3V4fF6ne3dtITJXzk7Fk8uTXij04uE33j3nqMNl97KT/t7eVnO/ayZvkivvlUGqfFQo7bViziV7uf4F+3PVp/XV19j9PePIcNL/yK89vfwMzcbMpxP//z4U/S6ZeYWSjy/vNu5Nfbvsc7zv4wJ7eeLgmJo8BaQ9C1i4PhAX608cZ6OfjuFbdDGNGTzXL3rp1cPvdUVq7fRMmvUCzkWbN8MRkN/2fzE1yz8Azu2rmVq+adzeqHnq2XRzcsPYPpWZf//dRaOgOfj77mjRwoR7zRyRB9fTB2CtdeyoYkoi2f5UdbdvPuM+bwlSeeZ2Y2w/vOmc+q9Zu5an6Ri9vnsPqe6rB4Do3PNNr4fi1eLzrX4dzTR8fvd57fxcP7+7jt4gV4WvHx+7bWY/7Wixawu+8AN2x8iGKhwG0XLmd61nLt+s9QquynmJ/F3y++ntOYIwmJlykIAg7EPlHiUUkiKrHl5g076p/BTcvnk3FCVq5/hJJf4ZLibN5/1mu4fm2JmVmHz7xuNj/9TfqZnj1P865FFZKvD54j3b+6jPK0Vr78aMTaF0waH5dm+dfHQ9YNTF/m4bhlPrHufkq+z2XFIjfPPYfka/cOntv/yyVc/1yFA1XDZ5efwP98/FFm5rK8/5wzR5xrF/HNp7bVy7hbVyziG5sHp1cvO4uWjOZjtX2lcXURWQ3/ff1vKPn9XFqcy3895wIOVmNu3rCt/l58dtk8vrflOd53zun8evfTrJh9Drdu2Mveckx7k8uai2fxtWcf4t7SLi4tzuHas87jugcH9/N3SxaTdRK+ueVu3rPgIpq1ZefOX3Lm/DfzTw9/ql6+fmTpF/nZs//Co3vvZWahyIdev5qZYR+tLXMlISEmtQm9UrCp/tpkpvYY2Q7h7cC3a///GHiTUurQnStMMiObaVS2JaCg5XwHU4Fgd5qAcD1FEoGJX7qpRtcjEW6rYsZSF3+HITx4eEmMRnp2rqO/9NjLXl+IV6pa6WLDf36cluK59Rs4gG6/xA/XfZL2Wcu4cdNm3jr3TExPRO476UUPgD1YJvnaPVx14skAXHXq6fWLFICSH7Bm43MsOmEWpXLIzRt28I757fWLZYDufsv3767yppNa6omIgfn0BvVERH1/X7+Hq06cycp1m7ni1NgyBjsAACAASURBVCIAV5xaHLXfVeuf4s8XXkzJ7+Fzv7+TK+eey6cf+gl9tcIg7Cux7RcfJ/a7jsXbLI5AdxjWExEAJb+Pz2z4D7rDcMx1xorjs097D7Hx6jduAPvKltX3VGnzptXj5i/PmldPRADs9UOcxK3fyMFgrL73rBm8fX5603fZgrieiIA0RqOv38ufF0+sxeFgnJb8gOvWbeaq+a8d9rrmz1jOlx/+FG+Y93a++vsbiYjriQiATr/EN36/movnXsU/bvgYfVWJ2aMh9rvo7X+hnoiAtBz8wbpPolpO47oH13HVqQvqiQiAkl9h1fpNuMrhynmn8rmND/MXZ5xbT0SkywTc/PBz7PUrXDnvHP7qjAtY/dBzvLG1uZ6IgMHYeWNrM2s2PsMVpxa5+eFn+Muz5nLFqUVWrU9j9Y/nzWkYzyflpg0rWxefmWkYv+874xT2+iHXPbCNUjkcFvMr127jNScMxKvPdQ+uJ7Eepcr+dF5lP5/YdAtdpudYfCRTUpepEhuXkh/SHST1RASkn8Fn1+/gYJDUY+yKefO5fu1+9pZj3nf2DH76m6j+mV68IKknIiCNIec79xB1B1yxIK0SvK9sWX1vlctPHzJ9T4hLjpLvA/BnxfkkXxsei7lv38ffLGxmbznmpvUH+Mszz+SK+XManGuHl3FDz80lP+DGDc9Q8iv1faVxtZYXKz4lP71NuXLuGZT8cFQZfNOGnVwxfy6r1j/CVfNex60bethbjtPnyzGrHtjPlXPPrm1jIdc9uG7Yfj63cRM9Ycxb517A6t//kANRhXMWXF1PREBavv7Tw5/i4rlX1af/+dEb6fJfJAgOjNfHLsSEmPCfLZRSjlLqUWA/8Gtr7YYRi5wM7Aaw1sZADzCzwXY+qJTaqJTa2NHRcbQPe1xFA6Np1DqwDHYb9DR4ZnoIzpBkRLa2/Ev0G2FCS/l5Q9NcTWF++hH3bUle1rH5Hc+y9Wf/jed+8uGXtb44tMkct8eSSUIq/SWMiesX4AO6/RKxVZR8nzYvR7Nj6xcrA+zBMm6Sfm80un6RMqDkByTGkned9AZP6fqFVH0//RZr1aj5+bH2ZwwlP6DVSy+uWr1Mw/06yqn930Obl6fk9xCbweRh2FfCJGPf4E4Eidu0+vtAImJAye8jtmOXz2PGsfJIjKrfuA3YV7YklnrctHqZ+kXwAM3omOzuH2g24qb/0zhGde07MTROB6aH1moo+X0k1tLpl9DKqV0gq/qF8oBOv0ST10anXyI2ErNHg0lCVCY/RjloKfk+Wqn6TeKAkl9BKUWr56XLjFEO5twMrZkcrV6Okh+kTTMaxI4yth43A3+HlnHG0DCejWVYvCo9Vvym8bfXD8m7w5uZ7vVDEjO4Tsn3MSO+dqXKfiL78q57jicTFbeJMSilyTlO/bw41F4/JOcM/hrf5mXrN+AD5c6AFq9xDOUdS9uQIe33lS0tI6aHlkMnZLyG25lZu3beW45p87K1GB8d2yPLuJHTOTczYh2f/JDX2OrlyDmN34vWTJaSX8FRTv19qD9fjmmt1ZZr9bL1RMTw/Xi0ZpooVbrIu3nQzpjl69BpJ5PHmOH7E2KymfBkhLU2sda+HjgFuEAp9ZqXuZ2vWmuXWGuXnHjiieN7kEfZQDMNJwOmaok6LL/Nlrn5QAel1phgV3pCdbO1ZhyVMTcFQHl7gk0gf4om06bQOfB3v7yaEb270tyQTarEQe/L2oYY22SO22NJOx755iJau0wrFIc9N61QxFWWYqFATxjQnyjUjKZhy6gZTcS19p8GQ7EwvOpusZDD0YpKnNBe8EisYVrz8ApY05oVStlR8ytj7U9rioUcvWEEQG8YNdxvUrtgLhba6AkrFAttuHqwaPZaiuiX6t32GJO4BVcpioWWYfOKhRbcQ1TcGzOObYij06rsQ81uUjiKetz0hhHtheGxYBgdk9OaFbG1dIdx+j+NY9TUvhND43Rg2lgzZLoFRylmFooYmzCzUARs7e+gmYUi5bCHmYUirpaYPRq042GjyhjloKJYKGCspVgY3jSzWMhjraU3DNNlxigHgziiNwroDdPq7dZpHDtWq3rcDPwdWsZpTcN41oph8WrNWPGbxl97waMSD08qtBc8HD24TrFQQI/42hXzs8ioyd9X1kTFraN12iQoSernxaHaCx5BMngT3BNWaW9Kb9wHyp0BfWHjGKokip5wMGkxu0nRN2J6aDl0IAobbqczStdpb3LpCau1GB8d2yPLuJHTQRyNWKdAZchr7A0DgqTxe9EbVSkW8iQ2qb8P9eebXHprncP1hlWKhUKD/YT0RmWK+elU4gqYZMzydeh0ElXQWppoiMltwpMRA6y13cDvgLeMeGoPMAdAKeUCbaQdWU4ZcdWiM+kvBGGHAQuPFarM0g73532SPoj7LW6t/HupmhHlHQY05IoapRTZEzSVF17eLwTlLfcM/r/vyZe1DSFeqWx+Osv+8Ev0lR7nXStur1+ID/QZsXf/BlYvXsQvdj2LbssQ/NVl9YsWNaMJ5wOXcUfHHgDu2L6VW1csql+sDPQZsfnAfopNHjcsm89Pduzlmsuz9QuqgXbMv3mxj3df7g2bT2sO5wMj9nftZdzR0cmtKxZx1/b01427tpdG7XfN8nP4ty0PUCy08XfnXcmdux7nCxe8g5ZaTYiBPiPcwvRj8TaLIzDN8/j8srfUExIDfStM88a+CR8rjp9+/nu4OuTGy7L1G7iBNvY9YXc9br77zE5uWDavfjHcXvBInJj3NIjVbz1zkJ/t6OGay7Pcs80l8/5Lh8Vo5tpL+bdSR7099UCcDvQZcceOJ4a9rh0H1/M3S7/I/Tt/xgfPW00Gl48uvb1+wTzQZ8QDu+7gb5f9Ay1ZidmjwS1Mp7X5FN65ZPWwcvDdK27H9j3PbReu4I7t27h1+eJ6QmKgz4jYJty5czt/t2Qp//rc49x4wZnDyqMblp5BeyHPnTuf4jvPPcSNF5zB73r7yVw7OnZ+19vPqiVncdf2EjcsPYvvPrOLu7aXWLM8jdVf7tzdMJ5fDLqHla2bno0axu83n3uB9oLHbRcvoNjkDYv5Wy9awJMHBuI17TPCUSHF/Kx0Xq3PiOl68FdkcWSm6yyujikWPKblHG5YNn/YZ3DT8vnMyDn1GLtr5w5uuWgW7U0u33z6IFe/KVP/TB/Y5uBcO/wcmfzVZWSm5bhrW5oAGOgz4u6tQ6Yv84gJ6jfv/17agfOB4bEY/JdL+PKWftqbXD67/AS+++yz3LVjd4Nz7fAybui5eaDPiGIhX9/XQJ8RJ+ULFAvNANy56zmKBW9UGfzZZfO4a8cu1iw/nzt2PsbKZW31hMRAnxF37nq6to0t3HbhimH7+bsli2nzXH6x6yFuPO9dnJDJ89S2n/KRpV8cVr5+ZOkXeWDXHfXpD71+NdMLJ5HLnTBeH7sQE0LZQ1QpPeo7V+pEILLWdiul8sDdwOettb8YsszfAK+11n6o1oHlO6y17zrUdpcsWWI3btx4VI99PD15R5WOrTGve0eOvsdjetbGfPncg7xzehvf2dPNJ7fOZOZbMtg2xea7Ql7/J1lmnzV2JnT7twOCvYY5f5q26zi4MaL70YTXrC6gvbF/tWvkiS9fQo/pBwULz/9rZq/461f0WqeIo9JnyWSL22Nt9CgEaQ/+hxxNwxis88pG07AWlBp7NI1YJWQnx2gaErfjbHxG00jjeOhoGkmtl/ZDjaYRm3Tkg2GjaViFVsd+NI3EJqijN5rGuMftZI/ZoaNpGJugtUtW54kSf9xG0zDW4o0cTaMWO5WcS/8RjKaRWIWj7EuPpmHTmkCHP5pGGq/H4WgaU6KsPdRoGhChD2M0DWMUauhoGonF6EOPpjEYL6NH08iiyB9yNA2Do5jQ0TQ0CtNgNI2BfQ2MppGY9HrkpUfTiHG0PhajaUyp/vjE5DHRdXuKwLeVUg5pLY0fWmt/oZS6Cdhorf058HXgu0qprcBB4JqJO9yjI6panFqSoK8joc8xnFbI0qod8i0KgyXsMORmpR/XS9WMqO4zeNMUQdTNlo6fMavlTWBPoLLX0DT3yKot9lBmeytoCyfvehgkGSEmiFKaXCHtLibH8F+8cjSPXmFEVclXPp7MWL94175Tea/hkq0jlj6s3+o86QF+MshlcrS/RPJhpEPFMYyMlxxNo5Y4HA7TGs4f/J60cehYnDbqG9N4aYnUY08pjVeYMapEytY+o5cXMy9hSM3yZmhU4h6GIdcfuRHzh03nGFmvpn3EdJHRZh2dV/6qlcvlDvH9PtJvvmboLUcauyNvQUYmMMe4RRkSi6+kTkCjEq1Rudm4LD0S2XGLTIlwMRVNaDLCWvs4cF6D+Z8d8n8AvPNYHtexFgUWp9ZvTv+BhFIu5syMR7eJODXrsTcX4+7XNJ+fLhMeIhlhQkt40NJ0qsPm0r/xROlbnKyfZgH/g7DjyJIRJg4ou+m+jAK/v/QSawghhBBCCCGEEC9tomtGCNIOLB1PYa0l06PYPz1mfaWDrYnPHN3EjPyJzOpw0Q4oB6Jg7G0F+9POfjLTFTs60tYupfg+Fiiodh5Zk5yw/wDBkER1dyxDtQkhhBBCCCGEeOWOmw4sX83iam0kjQpkEkVXLmZr4nOObmJ3Uk5rRgQKG6bDe0b+2EmFYF+ajPCmK8pxJ1gwOkI3RVQPHNmIGuGBrQQOtMRpbYoKx9dQbUIIIYQQQgghJidJRhwH4qrF9RRBT5os2JMJWKgL/EmmnXOcZl7MVgGIutLlDtVnRHWfTT/VpgoGi2vTfvHi/EGqHUeWjAhe3Eykodl4KAuhennDgwohhBBCCCGEEENJMmKCWWuJA3A86OhMhzTa5wUs1mk3ZsucNl7Mpe0yqgdNWjMiGDsZUdmb4E1T9AbbiYH9GagoKGe2EXZajmT0lPKBLVgFWZ0jayDUHNH6QgghhBBCCCFEI+PaZ4RS6mRg3tDtWmvvG899TDVJBNaCk1Ec7DLMQNPnhSzQaXfBJ6sslWxMpCzdHTGupwkP0Uyjus+SPUHR0ft7Al3reFJDv7ONlnAFSRncw+wGu1zekx6jVriJItaWJOzHzba84tcthBBCCCGEEOLVa/wGp1Xq88C7gaeApDbbApKMOIS4VsvB8aDaa+h34ORMFq3SoT6VUpzmeuzLxkzrdMie5BB1NU5GJIEl6rE0n+FwsP9p4oERgxX0OjsoAmG3wW0+vBE1/Go3ZCCIDmIciDRE/R2SjBBCCCGEEEII8YqMZ82I/wc401pbHcdtTnlx7d1yPUXcZ+n0YhY6eaoWnos0JzqWs3WeUi5mWo/GPRWiStrcQik1bFsDI2l40xU9XbuIgbYIejLQm3kBgKjHwimHd2yB8QFwbPpIFIT7t5Gfedq4vHYhhBBCCCGEEK9O49lnxPNAZhy396oQVWs1IzKQ9RUHvZh2lee7/Rl+Hbj8ezlDNWlibzaiKdA4Dtgkbd4xUrB3MBnRn3SAghNDwEJfppTur/vw+3wIbboTZUEBVkGl87lX9HqFEEIIIYQQQojxrBnhA48qpX4D1GtHWGs/Oo77mHIGmmnoDLSFmiebY3ZUm+izcLkb82Si+W2QYVG2jELhxOl6USUdWWOo6j6DcsFtUQSJDw4UEnAt+Jlu0LWaEYcpIkFZKGcUMel6fvfO8XnhQgghhBBCCCFetcazZsTPgc8B64BNQx7iEAaaaQShIWs0ftbyVKQ5WxvmaMvFboIFurwsAEmQ1n5oNLxnsM/gTVcopQhtCEDOeLgWjLY4TZaw5/CH54y1ZSDdYWv/+P37XtbrNPu3U/3Ox7C9HS9rfSGEEEIIIYQQU8e41Yyw1n5bKeUBZ9RmPWutbdCYQAw1MEznvr6IaWjKrocBFjlp0qBFwQJt2ZHJkWDp6kkAh6gyelvBPkuuPc0aRMqAhQwnkrF7CAGVj4i6D6/zSoBYpU00YPBvtdr9sl5n9bsfxx7YRbxgKZmL/uxlbUMIIYQQQgghxNQwbjUjlFKXAVuALwNfAZ5TSl0yXtufquJanxF7utKaDJ1OhtnK0jqkBcZCbYiUpiNrqPY2rhkR+5a4z+LNSD/SRKUfrnVOJGPAAHG2+7CbadgkSpMRgKsy9RoSYeIf8Wu0JqGjuofHi1B99oEjXl8IIYQQQgghxNQyns00/h643Fp7qbX2EuDNwD+M4/anpDgApaGnPx0Nda/rMk8PTxi0K0sTlr1Z8MppWiAckYyo7hvsvNJaQ0LaV0SiW8kZQIHvvEDUa7HmpRMSUaWHRKVJjM6MoVqLlDA58sFS7ME97G5NqHjw4sHHjnh9IYQQQgghhBBTy3gmIzLW2mcHJqy1zyGja7ykuGpxPEgqFoOl7MBcPbxfB6Vgnjbs8zTTqg7Y0TUjgnoyQlONe7EqHY7Tqgy5NM9Bv7MTDMT9L52MiLtfINEQauh1YjqzYIGII295E217hLDWOqSsA2yjoUCEEEIIIYQQQrxqjGcyYqNS6mtKqctqj68BG8dx+1NSFFgcT+EFij7XUlCW1gbLzdWWvVmFRpFRjZMR2gOnCfzqPgxpzYhZvb+lEKe1KXqd7ek+D2N4z+qBbRggGhIhBohtfMSv0X92IwPtPCoZMKVdR7wNIYQQQgghhBBTx3gmIz4MPAV8tPbYXJsnDiEOwM1AU+jQ6yqK2qIUZMP7aKn8c325dmXZl02TCI6yozqwDPYaMrWRNPoqu9JkhElzAE1Jul6/kyYBDqffCL9zKyiINeRsWsElUbWOMY9Q0L0bgIzRVF2In3v8iLchhBBCCCGEEGLqGM/RNKrAl4AvKaVmAKfU5o1JKTUH+A4wm7QVwFettf84YpnLgJ8B22uzfmKtvWm8jnuiRVWLcS1tUZqMaFcJyvYz3V8NQDl7NUbPxlEQZGMSXEjssJoR1lqCvYbCvLQtRG+wExRkanmDfAJY6HP2pPs8jGYafu8LWMAoaCJHYCOMglgdXgeYQwXVDowHvmNwLVR2P06Wq494O2LixHFEV/UgEQZHaTIoHAsFmujGEFnQSgFpBiyjLIkFYx0Sa3EUtDgZek2MsulQsRqFtZrEWrQCV1sKyqE3SWoVaTQKsKTLuFqhMYTG4ChFRilik8FYhVYWq9LmP65KjyU0mtiAq6HgGPxEYyxoBZC2XWpyFOXEEFuLqxR5DfkqqBiMo+j3HBJiDJa8o6kk6etylMLTitDY+rqetvhJgqM0roKYhKxWVI1F26GvA7SKSGyMxWKBrPaY5rUQBT2YJEQ7Htn8dJQaz3zxq5uxhq5qD6GJyGiXLA7lBBKr8LQGBWGSpLGlFZFR9djMO5rAWBwUidWDn7lj8eMIVytatEcVS5hoYpPGa84xVI3BWIOjFa3KARTdCcQGsg5gM0QGtLI0uTFeBXRiMI4mzKcnRj8ZEmeOwiHBNxEuDtZmiQw4GhQxSikcZUmsqn0Hwal1RmwxNDmGBEUlIY1HpWhyLBWjiGrfLUdbwsSQ0Yq8ionjCo528Zw8JvIlPseRsYa+aheRCcloj5bsdPRLvK/WWJKKTxcBkTVktIOnDFUToNHknFZCXBIDiXExVqUxoBIM4Ki4Fh8WrRSutlhra+WjS2RqZbJK4zhILMZaHKVQWBytiA31ctlRimqSxk7OUQSJqn8Hso6lHCe4SuHoCFe5VE1Sf75Je5STZEg5qqkmGmMVroZmx5BgyFYUOrEYR2Hziu7EEFuDqzTTHI0D9CVdxDbGVS4tznQyudwx+QynqiAICCzkA1svk8qeIlZgrCapnV/zjsFPzJB4goxSBMaSmHRei6OpGEVsFMaCpyHnGAIDiclgLGQ0oAOUhdhmSAy1a4MESLef0YrYpmWsVgpXWRIb4SiNo13ChGHn5EoyELcGiyXjWBKjSKyqx7TWCa7SxNZgbFrWOig87RBbavsCVyV4ylK1msgaHCCnEhyboHEIlSEyEVppHOXiKY+ycYitTr9/OiI0MRmlyClLAY8oLmOVxteKGEtW50hqZXFGKaYbB8cCzU0orQ79gQkxSY1bMkIpdQ/wtto2NwH7lVLrrLUfO8RqMfAJa+0jSqkWYJNS6tfW2qdGLHe/tfat43Wsx5M4sJTdhNbYYU8OTlSWTLy1/nwuWoefTW/cT3AsHVlFLjaE/mBSIOqxJBXIzkwLqp7gBQCyFkLdhmu70YDvdKa1HfpeOqEQ+AdIauWeRwYXhcXW5x0uay2B6cN3wGjIJRD2vHhkGxETKo4jtvXv4BObbqFU2U8xP4ubzv0oz+29j/NO+Qs+8+CDlHyfYqHA9YsX88Ntv+d9Zy4mSCw3bdxYf+62C1dw9+6tLG8/hR9ue4Z3nXYuazZuoeQHFAs5Pnfh2TS5MV/Z/ATvWnA2P9ryIu9cOJc1D+1krx/SXvC4Ydk8vvLEE8zMZbn2rPO46Z6QfWXL7CbFx1dofrBtC//tdadRjhyuf6DE3nJMe5PLmotn880nO7l/j097k8vKZTP54ZbtvH/RPH69azf/tmU7lxVn8bm5Z5J89ffYgxXUjDzO+17P/rYM//nCTv5o7imsXLeZkh/w5wtP4Y/mza5PFws51ixfxP/d9gwbD+zn1gtX8OvdT3H5nDO4e/dzLG9fwC2bNtXfi/+x9Hxcp4/rHrm1/p7+/eLrObjxf7N/573km4ss+8Mv0TrjdLnhGwfGGrb27eTjD6+mVNnPpbOW8/8u/DArh8Tu3y1ZwpeffICZuQLvP2sZKx9cPyx2HztQ4tyZc1i1/vFhn/mPn99Em+fxjlNfR1+kWbV2Sz1eb71oAYVMzP96ciPXnH42pzZPY3/FsHLtNmbmMvzNaxdw+9oq+8qWi07R3LAwIvnqI8S1+Mt98Hy6prt8+N7Hhu2zJaN5qnsP85oWsGpInK9cNoP1e3dz5fy5dFUjbn74mfp6q5acxY+27ObaRfPxtOFj6+4f9vq+/vRm7iuVhr0XnaHP586/mA2PraYcHOBdK77I3id/xIHSwxKf48BYw57erfzjho/R6ZeYWSjyt8v+gZNbTx8zIWGNJenuYZvq5ZMbv02p0kUxP52bzvtTfrH5Nv7wtL9gzrTlhCahp+Jy+9rBMvITKzL8cMsB3rtoOt94egv3lQ5QLOS4YekZTMu6hLHDqnXP1uP3xgvn0+ppPvHAE/U4unX5OQSJYfVDg7F1w9Kz+MoTz/P6ma380dyTWLl2W30bay5awP/duotNHd3cumIRWafKf1//C0p+H3+x4HVcPmcR1z24lpLvc0nxJK49czHXr91bj+l/uHQ2xd542PfC+eD53Ffp4EuPP02xkOfW5YuZk8+yZu0H6u/jRy64nZM5VRISL1MQBBwMY07oSTBf/X39vW/+4HnsbMpw3QP7hp1f0/JjH8VCnlsuPB9Haa5bv5GSX+FfLr2QwCvQFVj+f/bePEyu4r73/lSdpZfZZ7RMS2hfjTBgkARIcCHXsR0jiJM4sZPYJHGc109yk9zXr+Nrg9i8AMIJ5t7svs5mG2/xFscgOcF2ggMIBGJHIKFtRhLqGUmz9XK6+yxV7x+n54x6ZrThAS3U53n0qM9WfZZvV9X5TtXvd+eWI8lx91w9k2LN4nMP1xKN3nq1S8qJ+PhPx+q1my/roiOteOLQfi6aNoebNj9/lPaW0ZYSWEA1Clj/2Lg2ederPHV4mPUrl/Kt3S/zBysuoBD4fOrJJ5L6747Vl9GWEhyplrn96QfIeyNc3b2UDy+7hhu3PETeK5HLNvOplWtoc2w+uuXb5L0Rctk2Pv22dzLTFdSiKn+99ZOJ/v7Hyj8jELO5cfOLR53rIv5y+zcYqBW485L3M812ePWV75OedzU3vfAXdLkd/PHy/8lnn36YvFckl23hT1e/k3mPvIx76Qronm4MCcM5yVT2Itq01gXgV4CvaK0vA95+vAO01nmt9dP1z0XgZWD2FJ7TGU9QhSEd0hLGMSPaBVhqLKaCHY19nis0+RSkQkGtPGYoVA7Wg1d2xY+z6PcBkIqgak/DQiA1hCLAypykGeGPMDohw8XG0ZJIcMpmBCWPilNF1Y8LBPjVgVMsxHA6GaoNJkYEQL5yiNue/wuumPcbiREBkPc87nzqKdbNO58hv5YYEaPbbnx8M9fPX8YdT29m3dyliRERb69y6+Mvk/cqrJu3kLu2vsK183OJEQHQ5/ncsaWXG5YvYd28hYkRAdBf1ty7WbFu/hwibXFzvaME0FcOWf9IP+9e0JIsb9gywLXzZ3PT5m1ct2AeAL85a25iRADowQrpf3oWUYy4bv6CxHgAuG7hrIblvFdl/WPb+MCy88l7Hjc9vpnr51/AJ5/4N66ff0FiRIzei089+TTDftBwT//kqTuZtvQ9AFRKebb8+GPUKkOvyzN9szFUG0mMCIDr51yXGBEQP5PPbt3Kby1bybp55ydGxOi2Gx/fzFW5BUlHN14fP/MPLl3J9fMvINSS9fWXMIj1etOju7FFinXzFvOZpzbjK5m8qP3W8vO459Ew0fCvzdNEX3y6QX/RF5+mxRcTvjPU8NaOJawfp/MNWwa5bv4C+rxaYkSMHnfX1u1cuyDHjZu3kfcqE65v3bwFE+5F3ity69OPsOotv8+wl+dbm/8X8y+8wehziijWhhIjAmDAy/PnW/4/irXj3NdSmSFZS4wIgHxliNue+Q7vXPL/ML9zDaGG/nLEPY9GDXXk5zcHXLugjZsf7efa+XFXK+9VuePJV7CEzfrNexr0++nHe+jz/AYdDdbCxIgYO347Nyyfy3ULZif6Hi1j/aO7+cCyeeS9Kjdt3sZBzyPvFQG4fv4FiREBsG7eEm5+9FCDpr0hf9LfxfXTZtW/v8JNjz1FMdIN9/Gvnvg4xcjo87UyHEU0+6DGtYnqi88QFcIJ7eu18+YD8fMYrvmJEQEwPdtCvhwmRsTocX0lzeceDho0+tmfBvSVdMN+d24ZIO8FXJVbMKHdvePJNYCynAAAIABJREFUHXH6eWFNWj9/YPncev33CuvmLSRfqSRGRLyfxy1PbCFSMjEiANbNvSgxIuL9Snxq62bylXKyT94b4fZnHiSUTYkRAbH+hv2AGze/NO5cd/Pbi99NvjLEzU//M/nKYWYt+2VueuEvyFcO8TuLP5gYEfExRT7xxIMUrryA4B++B6XylD9ng+FMYCrNCFsIkQPeBzxwqgcLIeYDbwO2TLL5CiHEc0KIHwohVhzj+I8IIbYKIbYePnz4VL/+tBHWNKUwQiIInPpQsKiXV12LA24rUo2NIpgjBPsyikwk4xSdOq7Aq6NmRGf8xl8JB4HYjAisNoSOh9RHgJURBCdhRviRlxgI6dDFxkKJeNrG6PeeDHpghMpo8AodH19VIyd9/LnO2aDbQEfJS9wo+cohhHCTBj1Z73m0Omky1uTbpBDkvRKtbjpppMe2V0nbDq1uirxXpdV1kk7tKH2eT6uTos1NJR2YUfrLmjbHRSKSjkxyXDmkNWU1LLe5DnmvWp9eAl22k3S6RtGDFVossIRsOF+JmPT8R8uKr1WS94r1/yfei4yVbVxXOYRMtyXLlVIepRqv/0zhbNDt0fgqaNBwq9N2TO22OulJtyk4xjOXSCERyEn1qjS0OinyXolQkezT6toNGu509KT6s8elYs57VYSIp2BMpnNLSNK2Nem5ttY1n7adcds8Wl13wr2IPxdJuR0ADHt5kPHv6EzW52SciZoNlJ+8wIwy4OUJj3dfo4hAkhgRo+QrQ2TddiINAkHGsietI1tdO6n/kmO96jH1m7ashnXH05YUYtIyrKRerJKxxnQ2vm5sdVITNN0iOeHvIu9VCMf1Swa8PKGOONs5XboNtcbVk9/7lkZJ1PWUSpbTtp0YERBPc8jY1oRnm7GtSTWasRu/oK8ckrGcY9bBQgjECdvkKq1uioxlTVq/C2ElJgNAm5tNjIix/UpkbHfcuhHAmvA7dq2WSc+nzWmOP1eGcO0sSlhJ2xS3S8VxxxQJLQs9VIDo1GO2GQxnA1NpRnwG+Hdgl9b6SSHEQmDnyRwohGgGvgt8tD664mieBuZprS8C/hL4/mRlaK2/qLVeqbVeOX369Nd8EW8kKtKoEGph3GBKJ66UtephV3PI7uYRKmJ3sr8tBfszcWVuBxDWI3J4ryqcNoF04kq3FsaVWUZBKDIo4WLVjQArA2HhJLJpqBoaQMH+mg9hCl0fGaHC6okOH7vGgSFq9T5PcyjQAirSQ9fOnk7s68nZoFtHWOQyMxrW5TIz0Nonl218oc5lsxSCKpVo8m1Ka3LZZgp+PGyxcXuaahhQ8GvksmkKfkB3trHh7866FIIaI36NmU2Nw3RmNglGAh+FprupcQZad5NNoRY1LI/4AblsGlXvxA6EAaIz03Cc6MxQjCDSquF8FXrS8x8tK75WRS7bUv9/4r2oRI0dolxmBqo61hnKNOeQsvH6zxTOBt0ejSudBg0XgpFjarcQVCfdJuEYzzyOCaFRk+pVCigENXLZZmxJsk/BDxs0PBiISfUXjhuWm8um0fU4LJPpPNKKahhNeq6FuuarYTBuW5aC7zcuB9X65xZqfvzi257NgYp/R2eyPifjTNSsI126srmGdV3ZHPbx7qtl4SjIZToaVucyHXj+MJYAjaYShZPWkQU/TOq/5Nhs+pj6rUaNL/TH05bSetIyoqReTFOJxnQ2vm4sBLUJmi4qTvi7yGUz2KLxWruyOWwx7q35LOR06dYWAl9Mfu+L4zyeWE9jIeKqYUguO3acLQWVMJrwbCthNKlGK2HjF3Q32VSi4Jh1sNZx9KXjt8lpCn6NShRNWr9rHZHLjv0xYMT3yGWbx+3XTCX0x61rA6IJv2M/Kk56PiNBbHDkMh34oYfUUdI2xe1Sy7hjWrCjCNHRGgcGMhjOQaZM2Vrrb2utL9Ra/4/68h6t9XtPdJwQwiE2Ir6mtf7eJOUWtNal+udNgCOEmDZV5306GX2nD+upN9N2PeuF3JPsM2INwVHu/kA2QAFOBH5Zo5WmvDci3T32KH0VO9JubRG6+jYimrCJU3OSDk4qgGWgQ5SAihTsazvE3kwRTTy6IigeOelr1If6COun1lKLv9dzA/SgGR1xttCR6uTzl96cNJijMSMe6/0Gn7v88qRhH40ZsbH3JTrcFLetXNmw7e7L13B/zw5uuWQNG/e9wvqVS5LGejRmRC6bYWPvHtavXMqmnjzrV89LOrejMSPu276Tjb17uO0aN+nIjMaM2NizH0tE3HnlzKTjMzqn9Yd7i8nyTZd1sannVTasWcEDe3sB+PrBfVgfeVvS+RKdGaofuhjdYvFAz142rFmRnO8Dew42LI/OT/3ajpfIZbNsuHwN9/e8yOdW/wL397zIzZde2nAvPrXqEtpdp+Gefv7Smznyyr8CJDEjUuNeOAyvjY5UG/euuj253/fvf4AN47R768qVfGXHVjb2vsSGy6+YoN2H83u564qJz/yrr2zl/p4XsYXirrWLGvS6Ye0iQl1jY+8ubrt0Da5UbKjv85XtB/j4WjvR8Ld7BdZHLmnQn/WRSyi6esJ32gJeGNrJXeN0ftNlnTzQs5fubIpbVi1vOG79yuVs2pvn7jUryGUzE65vY+/eCfcil23hs5dcyZMvf4H2bI73rfkzep6/z+hzimhJdfD/Xva/kxeZ0ZgRLanj3NfmJjpUintW/nZiSIzGjHhw59/RM7gZW8DMJouPr7Ua6sg/WeOwae8Id66dyaaeOKD1aMyISIfctWZhg35vv3w+3Vm3QUedKZvbVzdq65ZVy7lv+z4e2Ptqou/RMu5au4iv7eiN402sWcGsbDZ54bq/50XuvnxtosWNvTu5c+2MBk1nO9xJfxf3HzlY//44ZkSLJRru4x+tvocWy+jztdJuWZRckOPaRPmRt2G12hPa1029PUD8PNpTLndfsTIxJA57RXJNNjdfNq3huO5mwSevcho0euvVDt3NomG/my/rIpd1eDi/d0K7e8uqZYQ6QOto0vr5a9v31eu/pWzs3UMuk+FTq1Y31H93rL4MSyo+fcl1iSGxcd9z3H3ZNYkhMRozIpdpSvYZjRlhqzJ/uPJzDfprdx3uXnP+uHNdxJd3/ZBcpoM7L3k/ucx0Du74Fza89X+Sy8zgS7u+yq2XXJX8PkZjRrQ+8iLOh38Fmpum/DkbDGcC4lSG3B+3ICHSwIeBFUBiB2qtf/c4xwjgy8Cg1vqjx9inG+jXWmshxGrgO8QjJY554itXrtRbt259bRfyBlIeVDzytxW2p6r83JE0TywPaEpDqfbz5NMKV0FKwSzxXZSMG9UfR1V+Y0cLbREs+kiajAM7/6LK9GscWpbEfwX4+yfWUgtncfG+vwdSpJwf8MKsP2PAhfdX/pVgRydvvSN73EA4D3zxEvZnYcAmMRPaQ2gL4Veu/EvaFq49qWusfeVr/KR6L4HUzChDfzN0VARX/vx3sJYv+Jnu32nkdYkgdCbr9mzNphHVswycvmwakppSSC3Q1KN3nyibhvKR8nXJVvCm0+3RvJHZNCIVZxw4XjaNSIF7BmfTCCKFPZpNI6rE0eGtDCr0Xi99Hosp1+2ZpNnRbBqh8rFPOZtGjUBHp5xNwxYh4STZNLQGMUXZNEZ/AyebTSOql39q2TRi/TZm04iwhXW6s2mcE3VtYzaN+N6frmwagvh5n2o2jWoU73dGZ9OQEk8IQiAlU+OyadhYWr9R2TRMdEzDaWHKsmkA9wHbgXcRT9n4AHFAyuOxFrgBeEEI8Wx93XpgLoDW+gvArwJ/IIQIgQrw68czIs4mwmp8Gako7nhkHUCHlGyF0HBYLCSyHGZFg0D9LyBCsKNZc+WgoDKgiOrxbDK5sc5LSMh5g78NBHSEzzDEL5AK/g7cYar2YSzVSeSB3TgCrYFAQihiI2Kan+GIWyEQcce4OrjnpM2IsNCHTkHFgl3tcTaN0AJdKJ34YMMZg207TLdnTrrtVAaOnoyv/9q9/+NXZ63HWN8yfsVRo1LjWbBjw47bxu87js4TbD8RVrbrZyzBcCykkHSlG/9SOuHZvwaOfuYnq93uY26xj7LyR/U3uXYn1+LJT5toH7d88vfiRL8Cw6kghaQtfWq/eyEFdlMT00+5thydtvDGTq850fiEk9LeOF9hst9QJ7lJ1hpeK+l0Or7tE9rEiRyrfT2aybqcE5/92fvX/8nO/ERX49Tv3Nl71QbDz85UmhGLtda/JoR4j9b6y0KIrwMPH+8ArfUjnMCJ01r/FfBXU3ieZwz1KbmklYVnaYQFUg3hWbBNvJceuQaAPMNcj8JC0iUkz7aGXDXoUN4Z4R3WuJ0Cu3nsNmqdprN8FWl7E/O9+xmy/5FW7woONv2QotxHO8sISrrhmAnnJuJ/AE3Cohg6RDJAA5WRV0/6Gn3vMFFKU5+JkhgcethEuTYYDAaDwWAwGAyGNytTOcZyNBrSsBDiAuI/n8w4zv5vesJ6DIVsKCnV40Wg+jggLqBHrmGJ+inL9A/otSSPiThSbzsWO7M+gdRUn4moHFC0LG8M0tRSXovUKZrFj6g6FWw9SLa6EoAC8bzg46X31FGQjIwASGtJc5AmIg6CWfMOHfPY8QTVQSIRj7So1MtUAvTgycedMBgMBoPBYDAYDAbDucVUjoz4ohCiA7gV+AHxiKzbprD8c46gPk0jGwmqdpyyJ9S97BTvpkX3scp/gMGUQvoX8YwDK3QXHSKNtAJezQrOq2haZ1u0jjcjKisJ5TBN0TYGMpfRWnuKwL8UNBTEqBmhGBuyOe68SkcIZZw5w9JgIckoyVB9mkatOnhS16eVxo+GiUQ8TUPV5y2HQqNHTq4Mg8FgMBgMBoPBYDCce0xlNo2/11oPaa1/qrVeqLWeUY/5YDgGozEjmiMI6mk983qQkujmLdFDxFmVYbX/IwSCZ0ScY7pNKPrT8Mp0Rfe7XITVON2iuXIxpfRzpJSm5HTSpLYhVBepIMeIiDMHBMcZGeEP7CUiNiMcHUvE1gJFbCj4teIxj22gUqVmewT10RAQj4yIBISFMyPPu8FgMBgMBoPBYDAY3nimzIwQQswUQvyDEOKH9eXzhRAfnqryz0XCKiitaQlB16dpvGRnsXSVhdFz8bAVDY7Yz6KonZfFABVCuhAULIVTmxjzoVqKSIezKKefwVFQsVpwiKd4NNeW4IkBhHP8aRqVQzvQIk4F6tbNCCk1CAgBPyyf1PXpYpmKUyGoq6zZd2MjQkDomWkaBoPBYDAYDAaDwfBmZSpjRnwJ+HdgVn35FWDSdJ2GmKCq8aXG0WA7oNHssXLM4CUyysdSNgKoWRVWhNMIheYFcYQOYTFiK7KhQKtGU2GwP46KWUk/i1SCUKbQ1ggQ0VxbTKB9rIw4rhlR6t9BVB/N4Op4KoeWIRCPagii6kldny6U8e0gSQ26/PDMOH2ehMAf4BxJimIwGAwGg8FgMBgMhlNkKs2IaVrrbxH/QR2tdQhEU1j+OUfJi5IbJB1BHx5VmWW6fglbWRB2IYGqjOjUaWZFzTwvjtCGZNgOkAh6BoOGMgf7q4SyQGTvQZECIQgsFyn2k60tJiTCzh5/moY3vD8JXunW40oIK94/EhDo2sldYLFEYAeEAmrA5lwfIXE2jaosg3dypobBYDAYDAaDwWAwGM4tptKMKAshuohjHCKEuBwYmcLyzznKZYXW8Vt/5ECvKIBWzGA7lmomiOYiNck0h+VhJ2URUKbCsBObEM/0N5oRpcOSQuY5LDSRiJND16wmHLmbjL8IhT7hyIhadSBJ6+nUz2/0/0iAr0/OY9JFD1+GRALKFhTcIM6oAVRTJXShdFLlGAwGg8FgMBgMBoPh3GIqzYiPEWfRWCSEeBT4CvDHU1j+OUfFU1B/yQ8dzQFKtHOQFBV+2tTGv3YVGJF2YgzMVS2ktU2PHGTYiUcn9A2ppLyap4kqGQqZZ3E1hDKLBnrSbWiRxw1norWDzOjjjoyohqVkZMTMYjMzCk1IBELHw14CcbJmRJnAUg0BLH0BkYSqXTNmhMFgMBgMBoPBYDC8SZlKM2IR8G5gDXHsiJ1MberQc45aNU51CVCzFX2iTJfezV4rw/NNPv2pETanO/BFHE/CQrIkbKdHjKAdTYhGF8ce4cih2JgYyTyDHUFRtvCVLsHdc7v5+oy5CCxkOJfQLaOqoILJDYkqNSIBaLh6zzwu3zuHBUc6cJSMp2lwcrEedLGMb2n8+il2hg5aQCCg5vhQOLlAmAaDwWAwGAwGg8FgOLeYSjPiVq11AegAfg74G+Bvp7D8cw9fYCkIhSZveURC06b3sNttYnqtk2v6r6ciLV61M2gdp9NcFnWiBQgRMuAoWmsSvx7EsnBIoaSHl9pNSsE/zlrO3pRAU6XoxNkreqLrKFj9AISliaaC1pqqFdXTesJwpsJg1mNp/zQcLdCMTRs5EbpQJqxPyxAampU1etn4VmBGRhgMBoPBYDAYDAbDm5SpNCNGx+6vA/5Oa70RcKew/HMOJxTYWlO1Nf3SA0BbBylJm4Wlt+D6C2kNFfvtDIg4PWebTpGLmiiKEofckGmB4JVifOtHDilqmR0gFIdkN4+3dYKosahicWvv1wFoCebwE38ncIwglkMFqlYcGyIdWbzc3c+O6YdIhzZuZKFEvO2kKJQI6vs7GlJ1MyKU4FsRuuT9DHfPYDAYDAaDwWAwGAxnK1NpRrwqhPi/wPuBTUKI1BSXf06hIo2jBY4C39H045HVFiNWDRT0uDl+MqMPL/pNhtQlVOhNjl0WdVIRFfrdgNYInjjkUytrqiVNJfMcAI9nLsZWCkv7rCja/KQzwJclOv02tuhhgEmDWKq+I9SsODZENrAYyHocbi4TyohMaKM4eTNCFQr4ctSMkNgIpI5HStRsbcwIg8FgMBgMBoPBYHiTMpVmwfuIY0W8S2s9DHQC/2sKyz+nGCmGALhKE9qafuHRpSwOWyky0RKOuBnQTaBbsaI13J/20fVYDfOiVlwUB9M+AIf7NQMH6qMjMo9RopU9qdmEskbOr/KDWQ/w5Tku/ak+pvtZik783UFRTTgv3XcEX8ZmREpZIEBLzeGmMu3VNJo4AOWJ0JGCygihiMuy676HresZOaQGY0YYDAaDwWAwGAwGw5uSKTMjtNae1vp7Wuud9eW81vrBqSr/XGPP4dhIyESC0NEMixqdkcewSBGoS0C7SNKkdA2QlOU0vpd+BoXGRrIsamN/yiMQmtZhwaHeiHQLVNzdHJSLQWu0jjiYKiPCC7iw5FJ0D9DhN1NwAhSa3fmBCecVHDxATQICrKPWDzSV6axkQMQjG3QUTDi2gbKHxqNmxWW5Oi7NVnFmDd+KU38aDAaDwWAwGAwGg+HNh5lGcZp4pS8ADWkFZTt+sc/Qi1ZLQDchcFHiMLPYCDyLosaw9Pmxux2F5q3hdCIZsCMbcGFJUh7UdHRLAh3xqlyCrTWC6Sh9AagVvOS8B8+u0B60I3RIyamy/UA/kW4cHRH07UqyX0TW2LahbIVWPxWvl+CXJxoZR6OLZUJZTspydfzBQcbpQSWooglgaTAYDAaDwWAwGAxvRowZcZrIDymkBoHgiFsDQIkXkOEFgAMENIun2ZWaRtbqAzGIxme/PcIWp5cMNtO1zU86ivQ7ELRD5yxJv5xOhXZC0QIUsOWPuWiknenVNPucbgSSlqjMiFOBsuRHB15OzkkrjT/cS1CPCWHLsbERI5kK2dAB4kiltaF9x70+XSgTWqWkLGfUjNACLaAmgPIIWp9cmlCDwWAwGAwGg8FgMJw72Kfzy4UQc4CvADMBDXxRa/3n4/YRwJ8D1wIe8Dta66ff6HOdakaKGll/D++zPVqUy4DdD1yFwCIltzBXPsp+dSEl0YIWBSzdhELwktNHu05zQdTBfzpVvtytWNWsuUQ6vGxdCrhoHYAQKP93eKElNhWawzQAM2tpRpwKnWEr/3f7Jn5+9nJsaaEHh/GsI4SJgTAWqTKSOs7PSRzzwRveQ+u81ce+wJJHzSkmaUBHy7K0BKJ4+oaqQKUG2fQU3VXDmYTWiqg8hLYd/LCMsLIUdEioFZaQNEkbT0WEWuFKB6UhJW2qSiE0aCFwhSRQAlsIpHLQijiOiRWhUURaEGmNJSBtQTWSpCQ4vo1WICQEbkSkIRtIRARagucGhFrgSoWvNLYQhIkvZhEpsCS4UqG1JlQOoRbYQpOyQ2qhTaQFlgBEgEbgSk0lirCEQAAaTcaCiirRIlMEUQWlI6SwcGWaICxjSQdHppEqxM52IITxh89EtFbUamWGVUCoI7JWGl8FiZYz0kFiE2pQWiAiG7SI9Sd8NNBsiaTBHY4ESgukACkUgYKUJUgJgaiNaVenIuyahAiUhFoqIEKRFpJypOs6i/UqBbTailLoJvp17ACtNQqFQBMqiDRYUiCBQCksIXAtRQoIwiKOdOLWWEcodKLZTLoL2zYJss4ElFYM1oZRKkKRQmiJJW0EEEQOkQZbQNoOcGsOIoy1GNpx6m5fQcpShEoS1LVii4hQ63p9KpI6cfT/SCtkfX1WQjGCsK5bpexYV0LjWCG+kokGWyxFTSt8ZSfrYs0rbCloloKCComUwpaSrLTxIotQaWwpaLcivNBBKxH3QayIJqkYjjShjuvudivuX5SjISIdYgmbJquDdNr0LX4WqtUqnuao5ykQaKSI6xFHgFAWSoGUYNkB1UihAQE40sKPJELEmkqHcURzLSF0FL4SsVYlCBHgK0XakmR8J/6rl9QE6bjPECjq9V2sc60ttAYpNFrEo4tdKQhUlJxfqBW2EKQti0oUoTRYIq53g7q+tFb1ttqmGtXrRwFCRGhAolFaI4RNqDRS1Nt9QAhwRNwHCZRM9GgJQU0pbAEZK8KL4j6IIwVZEaF0RFXHfQpXCJpkSBTVUDpECnvSulZrRegNoSIfabmmv2A4pzitZgRx+IE/0Vo/LYRoAZ4SQvxIa/3SUfu8G1hS/3cZ8Lf1/89q/IrAqr/8vOp6dOk0B+xFCO2gCWmPSvQFHyCVepIR2QkcItJNCG2jgcecHt6u4oZWiRpPe4KN5TxHxFKEyiB1KxrJDL9MrhZyJL0TR6aBt9BU++8U7Aq5SisHysPcv+95fnn+29B9R6ikhogkSA2SxrQZkYynbUQCakMHj3t9ulCm4nhxvlcNVr0sFwsICAVo4aFLZYQxI845tFb4h3fhFwfw29oZGtlH0HU+n3jyS+QrQ9yw8Greed4lfOLJL9GVauWP3vKL7Bo5zMVd8/mH7U/yvkUX81hfnnect5Sf7DvEL82ezzcfrDFc0rQ3C37x5xycLPztC/t5+OAwV81q58MrzuOFQx5vb2/hqe9UqY5o0m2Ci9/vImrQ+7UawZDG6RCc90GXbx7K8/PzOjlQHGR2Sxv/9FIv71uygA1bDtFXDulusrnn6pkEocOnH/LpL2tmNgluvybFV5/z2XxAMbNJ8LE1Fv+8az8fWpHju7t28dSRI6xfeRHf3rmH3z1/KUO1V+lItzDUt5V/f/7PaM/meN+aezhw4FFe3vsvXHvV5xGHesl2LSAzbbHpYJxhaK2oVkbo8Ut84skvsWraEn51wVo+Wdfy1TMv4Ma3/hq1KCRQEt+zuf8//ESr1/2c5J/27ORDK+YxO+Ny0NOsf6Q/0djNl03jhz2H+PCKHHbJ5rm6dqcvkSxf69Lz1Ubdlpp9SoT87Qt7G/T6m8vaeMe8Dj79UDXR6m1Xp2hKBWgiymHETY89Rd6rkMtmuGXlRfzNi9sZrNbYcMWlNDuK0DuCwKcl1UW1OsiPHr+NYjlPS1OOd195D51ti4whcZpRWrGr0MMXdnyNDy78Hb6x8wU+8paVSBEShmk+81CN/rJm7XmSTyx36blvTD+zfy2F3SL55v5h3j6vmS9tG+DhVz26m2zuXDuDf9y+jf/K9/PfcjP50FuW8eN9/bxj3kxu2ryNvFcll01z5xXnYwmbGx/ZTVfa4Q/fuoh7Hq011I//uO1QUu49V88kVJIbH843aP6vX9jOYM3n7jUX8O/7t/PVXdv44OILeNd5F7D+kYP0lUOump3lj8+fwTf+vbHuLzXBX7+wi//KHyGXTbNhzQrmZFw2PPp7DHh5urI5/mj1PXSzwBgSr5FqtcqRIKTk29z86Nizu+XyGaQtwX/0lvjFOR3881Ht8q+/M4VOV/jL51/mDy44n1qo+dK2I/zW+e10VG22fb+WtMsXvjfF37zs82i9Hf3kVTb39/TwezMX0PvNMc3O+aBLtd3n3me38b7Fy/nOjhHet2Qan988prmPrZH88+6dfOj8eaQtqEQh67dsJu955LJZ7r58Df/w8jb+K58nl81y68rV/M2LzzNQrfLpVavZPnSQi6YtbND5+lWL+dbuJ/nQskuJtOTWJx5Oyrt15WoylgUoOlNphnzN+s3PJ8fesmo5f/PCHgarPhvWrODB/dv46u5nyWVb+D9XrMMLfNY/+VPyXolctpk/vexqdj3/Z+x99aFJ61qtFZUju9j9wMfwi3nclhyLrrvX9BcM5wynVcX1IJdP1z8XgZeB2eN2ew/wFR3zONAuhMi9wac65YialYyMOGiXaVcpKnoxAgs4yEGnm0HX5zAX4iqQlEGENCkbCNAi4qepV+hAokRApFL8w1A/Us0G3QHiILbzJRZUSzzbtZlXm45wJLMLhaY9cBmxXVqDLNNTLfz99keoRSG67whlt0wAFCQ81Fzm8axHUcaZOoJ6Fg4F1EZOYEYUS9ScClE9EKaomxGjIyQCAaFVMhk1zlGi8hCHvvsx5Mz5/PShj9OcW5kYEQDXz7ssWf7tJW/nM89s4qrcMj75xL+xbt753PH0Y1w/fxnrH9vGL8+fyzcfjF/uAIZLmh/8Z8BASbNuwTQA1i2YxvpH+nlndwvPfyfu8ABURzThMOS/5hMMxeuCIc2Br/r8xtyZ3PRvZpw/AAAgAElEQVToblZMm8H6x7Zx7fzZbNgyQF851nlfOaSvpBMjAqC/rPn0QzXeudhJlu/dHHHd/Jmsf3Q3H1i2mLxX4a6tz3Ht/Lnc9NhTLGhZxsefupP5c66Jz9/L863NH2fJwndTLOfZ9PCfkDrvQnY/8DFCb+iNeUCGkyaoDDGCSvT6wcXXJEYEwHVzVxNqQagFA6WI+/8jatDqA/+peM+8Ody0eRvlSLL+kUMNGrtzyxF+c/ksmiKX547S7py3OvTWjQgY021z6JD3/Al6XbewnU/XX0Qh1uZnflpDKRtLOIkRAZD3Ktyx9TluqOv1pseeIlSSdPMc/uWJ29GQGBEAxXKeHz7ycSrV48cKMrz+DNVG+NjWz3D9nHV8eusW1s1dyuFKgI3LZ46qq35lvsO++xr18+q3a4TD8L757dz8aD/vXtACxDq8+dFDXDtvPgDXzp/D+se2cd3CWckLGkDeqzJci7jxkd30eT6/tfw87nk0nFA/XrugLSm3rxxx48P9EzR/w/IF5L0qN25+kevnLwfg+nkrEqMO4D3z2xIjAsbq/sNFzbXzZyfndNPmbRQjzYAX63XAy/NXT3yccmTq09fKcKQItc3NjzY+uzseP8RwLeKXFrQnRgTEz+abD9bIkOba+XMR2InGQg9e+X7Q0C4//90av7RgrB393MMhv79oEYPfjBo0u/+rPk2By7Xz5rNhyyDXLmjj85uDBs3du1mxrq5ZISTDNZ+8F/ct857HjY9vZt28BcnyZ7c+wQ1Ll5P3PG5/8gmuyi2doPO7ntzFurkXMOTXuPWJLQ3lfXbrEwz5PkO+j9IW68cde8eT27lh+dxEm9fPf2t9W5GDXpn1Tz5G3ivV15X4xJafMn/R+4DJ69rQG0qMCAC/mDf9BcM5xRljqQkh5gNvA7aM2zQb2H/U8gEmGhYIIT4ihNgqhNh6+PDh1+s0p4RKEJGKLFBxZTriBrjUgLY4faccpClo5uqD19MSlQlpQ4kUiCF8OQICBBUCETJkHUIJH4HAViBED8p6hsB9kOmB5KnOF0ipNP+t/0ru3ruFqjVMa6QoOBGOtlCVKoeqRb6792mi/GFG3Cr9Dgw44CpBWSq2Zqv4aCquj6in5qx5Jwpg6VGxfZQgMV1gdJoGhBJ8q/Smz6hxNun2VNCRT1jIo1RIuZwnVCp5eQOwkMlyq9NE3htB67ixbnVS5L0SEkneq2ILmXR4RhkuaZpsi1Y37sy0ug595RChRdLhGcV2RNK5GSUY0qSQ9Hk+kdLkvSpt9TKOJmNbSadnlP6ypsUVDcutrk2f52PV/0qR9yq0ug55r0KoNfnKISLGyhn28uh68NhiOY/SIX4xj4r8k7/Jp5FzVbeToSK/Qb9Haxdi/UZaIxA0WfakWm13XPJelVAxQWN95RBLxDmQj9aum5lcty7xsOPxerWEmFSrAoHSJEbEKKMaHf0shCRUmmEvD0ImRsQosU6jk7pnZyLnimZ9FZCvHKLVaSPvlWh106RtCylkw/PvOEa9ZzsCF0FfOaQ1NRYXqq8c0ubGQapb3VivEpG8ZI2Stiz6PL++nz2p5lrdsUG3aVtOqvm2RHtVZL3etETjvu3u5L+nJttKjh8tIxwXf2rAyxOdxXod5XTpNtQaWdfJ0fSVQ9K2xBZi0meDFrQ6KaQY01izZU1ol6sjmvZx7WhKy0k1K5WgzU3F5R1Dc231OlYIQdq2GrbnPY9W1510Oe95KJig87xXpdVNk7HcxIg4+viMZZGx7OMcO1HfABnLToyIsf1LOG5nsjy+rlWRnxgRo5xN/QWD4UScEWaEEKIZ+C7wUa114bWUobX+otZ6pdZ65fTp06f2BKeYF4/UyCiBBmpSEUjNkMwTzygOUFKyoHA+tnZYWmxD4wApInkI3/LoCLJIHNpDQShHUCJEo5CqlWaxEyE8ECMEahZVqbh5R8B7+15CRBmE9SrTAsGwG3emU95CZmWb+NIrmykf6GVzF5Qt6K7BsprLkppLTWj2pnyK6RqWjlNz1qojx71GNTJCxQ2JBNhHmxEAdUOjmiqh3+QjI84m3Z4KwnKxW3NIadPUlMOWklymI9keoZLlQlAml21DCMhlWygENXLZZhSKXDZNqBXtzY1ThtqbBeUwouDHc0ULfkB3k40W8RDQowmDeLjn0TgdghqK7qyLJQW5bJqRehlHUwkjZjY1HjuzSVD0dcNywQ/pzrpJdppcNkPBD8hlM9hCkMvMSKYqAbRnc8nwypamHFLYuC05pHV2DIE/V3U7GdJyG/R7tHYh1q8lBBpNOQon1epw4JPLprElEzTW3WQTaQ2SBu36lcl166OpRtEEvUZaT6pVXZ/jnctmGraNanT0s9bxHP72bA60oqWpcQBirNPGTv7ZxLmiWVc65DIzKAQj5LLNFPwq1TBCadXw/IeOUe+FgcZH091kU6iNvfB0N9mM+HEw7YIf61WhyY2bRlmNIrqzbn2/cFLNFfyxF9hqqCbV/EiivTSqXm9GunHfYX/y31M5jJLjR8uwReN+Xdkc1lms11FOl25tIVB1nRxNd5NNNVSEWk/6bBCaQlBD6TGNlaJoQrucbhMMj2tHa0JNqlklNSN+LS7vGJobqdexWmuqYaMJlctmKfj+pMu5bBYJE3Sey6Yp+FUqkU8um51QXiWKqEThcY6dqG+Ip5Dkss3j9m8m8AeT5fF1rbRc3JbG+vhs6i8YDCfitJsRQgiH2Ij4mtb6e5Ps8iow56jl8+rrzlpePByQUSDQlJ0ISwtetYoIJJoCto54x+ERrhl+jOneW8kwgNAp0D62kljUCEVELpjOL4wsRoqQSNSwozkU1aXIaBl27bcZsNZih1dx+5KruGvxYn7Qfg2BdYTpgUPBiT2f9tp5HK7tZ8j3uGvmTnY1QXMEs+v1dpOSdEaSfW7AsFs3IwA/LB7/IocHqVkRCpLYGBBP14hDWELVqZhpGucoVlMHM957L6q/h6uvuYdSfit/uup3kpe4+3u3JMtf3vkTbnvbtTyc38HnVv8CG3tf4pZLruD+nh3cdcUK/qVnH7/+Tjfp+IzOG+5qFmzcewSAjXuPcNeVM3mwr8iFv5pKOj7pNoHdDrkPuEknZ3Tu/Tf29bNh7SK2HTnEXVesYFPPq9x0WVfS+epusuluFtx+jZt0fkbnRD+4K0iWP7bG4oGefu5au4iv7dhFLpth/cqL2NSzjw1XXMre4g7uufRmevY/FJ9/PWbEzj0/pKUpx7VXfZ7agedZdN292Nmxl1zDmYGT6aANmej1q7se4nNHafmBfU9gC40tNF3NFtf/d6tBq9f9nORfe/ezYc0KmizFXVfOaNDYzZdN4+vbD1K2fC46Srv7XwiY98HUBN2W7IBc1p2g1417hrn9mlSDVm+7OoWUIZEO2HDFpYkhMRoz4r66XjdccSm2VFRL+/nl1Z9GAO+4/DOJITE6jzmT7npjbrrhmHSk2rh35W3cv38jt6+8jI37XmF6xiHE57aj6qrv9QTMvaFRP7N/LYXdDt/qGebOtTP54d64HR+NGbGptweATT37ueuKFTyw5yAb1qxIXrZy2TTtKYu7r1xEd9blK9sP8PG19oT6cdPekaTc7iaLu6+aOUHz923fSy6b5u41F3B/z3YA7u/dxl1Xju37rz0j/Ma7UhPq/uktgk09rybntGHNClosQVc21utozIgmy9Snr5V2S2KLkDvXNj67Wy6fQXvK4vt7h3n/Oxufza+/M0WFKpt69qEJE43ZWVj6S05Du3zhe1N8f+9YO/rJq2y+sHs3nb9uNWh2zgddyo7Ppt4ebrqsk017R/iTNU6D5j62RrKxrlmtFe0pNzEQRmNGbOzdmyzfunI1972ynVw2y6dXrebh/CsTdL5+1WI27nuRDjfFZ1df1lDerStX0+G6dLguUkTcNe7YW1Yt577t+xJt3t/zQn1bC7OyTdy16orEkBiNGdGz+1vA5HWtne1g0XX3JobEaMwI018wnCuI05lasZ4p48vAoNb6o8fYZx3wR8TZNC4D/kJrfZw0DrBy5Uq9devWqT7dKeOWnw4y/8kUy0cUg6kqX1iyi0HrIJAiEjtYUCvwlWfi4XiPtZ7PX6/4Cb1yFVoM0+bPpmQ5TK8tYtguce3IKnbbETvtNK5qpZj5N4Q8hBAVQmHzmweqPNu8AkGJV5ozvOvwXFYNz+frc77HJ7a9n79bsIst054jZb+Ir7NcFvyQDh2Qq1ooKx5mVpSK7RmfC70Ukfap2porhrK8/fcfOeY1Vm+6g/+Y8z2e6IL2EHLRmBO8242HqP1ibzPLFt+K8953vH43+/VBnHiXU+dM1+2pMppNA9uh1pBNI46sfSrZNBwhEKeYTQMFHCObRsUNCE4xm0acPWMsm8ZoNoSzKJuG0e1r5I3OpjGq3decTaMeEf7E2TTi384Znk1jynV7tmt2LJuGQuFOyKah6s9/arNpxCNsjs6mESlwx2XTcK2Q2hRk04iUxnpN2TQiLGGd7mwa50RdO3XZNOp6PGE2DU3aEudkNg2lwR6XTSPScd9mLJvGsevaNyibxuuiW4PhRJzubBprgRuAF4QQz9bXrQfmAmitvwBsIjYidhGn9vzQaTjPKeVgQbNcaSwFQ3aNFu0wgA2EIGq843CJmshQE02sKuxgttrPfnExEWkC6wCwAEf7BCJiW6aXjJJEshtUK7ZKU009iK0WsqSwkIP2xfi6i1m1Av/nwH18b8aHsLRDC/GQsPYgQKjZeHozUrcxwPl08hyRGMul0awErhL0OSGzqgIPTVUce66aDkPwK5RdQICjGytMS4MvwbNrqGJp8kIMZz1CSOzm2N23aQUgO26f1tdc+gmG3zaMSJ/YYGdPdPxxGV9tHr+sNprqn9rHbTF/1ThbEEKSTrfQ/ZqOzkxYc9xyGt6fZMNy01FaaznG4U0NS6kTndw4jlWq4UxCCsm0dOeJd8Rq0E+KRg39LDQdc8vEbuWx9518e2O74DT+JOrnP9lvKM1ZH9v8jCKdTnNqdo5F20nvO75dPkqXDVXmybymnHif8a3vG8lk9+Tk71OMEBKnyYxMM5ybnFYzQmv9CCdw4nQ8dOMP35gzemMY8AQZFQeIHHRrCB0R+69lEJp1/UVS0QxS2gEroi1UtNm9DLGIitXP3NJ5HMjsJ1ddzK5UHlsUsX2FYhquv4pIWMhoAb2OzcHWiFBI9qXbaI/ewaXhvwCXMKAuxBcRHVGc68KO1hDZT/GKvZiZwT5myLFgZwJBWyQZsCPmaBlP05DqGFcHFD0gpFJvWyw9bg6ggpoEz4nQwyYasMFgMBgMBoPBYDC82TjtMSPejHg1i0wYp7kcsQOGZZF48FuRLMN0BBYHnW6eal6C1jatEXSwDxAo2jmv2kVKpehL7QWhCMmwvJollAWkziJUG1Ju465d32HN0BHWDA8w06/xb12r2ePMA6A9ylBwfJp8FylGEGo2VmSjRcBTzkrUOI+oLZJx0EkpQEBVHNuM0MUyiIDaqBkxTmZ2Pe5E2VFQfE3xSg0Gg8FgMBgMBoPBcBZjzIg3mJGqwlY2bn20QMEJKMhynNJTlOhShxHa4YXmhbzcPBuh07RFkNWD2LqG0Fn60y+zdnAt3bWZtAUWYLMne4DQOoRAIKzdvHPoP2gLFZcU+vjI/se59shWWsIRHsxeC8DSoIcRx6fNb6KVYUAi9DIERTzRxubUwobzbokkaBipp8bwbThWvBFdLKMJ8Ot+hqUFu12fZzNVSlJh69jQ8BzAO0EgTIPBYDAYDAaDwWAwnHOc7pgRbzpeOOyTViDr7/FlOyRCEMeL8JkWDoOexp7sdAacJiLSpCJIaZiue8lbS+lL7+P8YpZLCpcAsDeT56XmXkQ4iKKG41/EsuKLfLs7x8F0ic8v7UYJAXovVrCCqozwwrdRdCpMrzaD8kAUkNFclHwJLaq8Yi9lZtTPkjCO6WAjaFaSYVvRpaAmgGoNMhNnFKpCEQgI6lZXn6vZmY4DDA1ZERfX/QfPAvwKOooQ1tmfgstgMBgMBoPBYDAYDCeHGRnxBvNSPa3naMgF31YIIdH4ICJy4TABGQ45LUTCot+ZThQuJFtdzYywiXTUQllG8UiKOnOq04FDIEuEVhE7ms//XnA5P5meIRKShcVWfm8v/OCJvbx/8GsM24oZvsWI49EWugzL2eSiV1AixfzQQRBPG3kkdSGlo3J3t0aCkhVPsQgl6JFjBJ88fBhESCRAadibCmgLJcsrLjWpOezGZfoSIIJyZfJyDAaDwWAwGAwGg8FwTmJGRrzB7B6KSCuRBHUcdqoAaMoIImb7RQ6500BYCNnCffM+SKB+l2wxzkTQDXjWMCWrSnOUQqDIp3pRVoEMTxLKubjRNH75gOSGg/vZlc3xw+nT6El3UhOH+ZVD/8amtiJN4XQc+9s0h7+FrRwGrJloquRZw3nBd9nvpIFOfpyZx3u8HgT1qRpuRE1AKECPFKF72oRr1EeOoAkIBVRkvO+swKZZSZojSb+rmRbVzQgRooseorV5QjkGg8FgMBgMBoPBYDg3MSMj3mAOFjVpFSE1KDSDzmi8CI8UBbKR5sm2S5F2N1I20xSUWBbdjWj+Aw53/E8Opn9CxSqQUt0EtBOSZX+mh6awBc+2idwXiUSJrS0raQs1LzVPB0AJyabpS2irdpKVL9ESpuh3YgOgPYCaaENSIKCdiPPojvrQhAyKpeyzHQCaVBw3ohanikYNTR58Uo8MEsgakYCyhLQSNKnYfOkMJWVLEwCBAE2ALnmv/403GAwGg8FgMBgMBsMZgzEj3mCGKpKsVlgainZITQbE8SICWtQQA+FHebHjbUgdYvuDNNWOsKD6GCnrRULnGdLWIzzZ8S3+a9rfI3WVSKS5eOQ9LCleCrSRllsJrCGGnDYebl/M/vRYNuPeTAd5Zwld+nkySnLAeisAq8vbEVgoLDQRR7iUNlUlqwcRuDyWWowGLARZJaiK2IzgyMCk16iLI1TdCgHxyAg3auI/00v5UXop6DiPfUVCJAF8KJVfxztuMBgMBoPBYDAYDIYzDWNGvIGESlMNLDJaIxUMuT6g0QSgAxaWrucw76W9ehgrGEGgGHRaaK22I4GUgsjdQzoq4VklHppxH491fIOSdYSZ/kWsOfKHLPF95oTPI6jxz92XEonGR3x/11W0BX0AeCIeNZGL+hH4WEIAFSKmUWY6s8JDQIDHvGR0RIuS+HUzIujbP/mFVkp4bkDZgkC4bHUv4oDdTp/dxo/T5yNUmmp9qgciRA0Nvy7322AwGAwGg8FgMBgMZybGjHgDOVhUgCCrNVJrRhwfBECNBZWLaa/+PHPD72JFZUbDRobSxqmdh9TgavCdXs7z5qDFMDVZIRu5pMICz7R/HUe5dA/fy6WlaURyiP3pLgbstoZzGHC7EL4LQLMaAcBRGabrF/5/9u47yq6rPvj+d+/Tbpum0UgzklWs5l4A4W5sA3YMmPAk8CZkreRJ8iYQ3pA8awXC+6ZAQnqeF5KsN4GHloT6JJBAYGHTDRhcQLbc5Sart5Gml9tO2Xu/f5yZkUYaWaM6M/Lvs9Zd0r33lH3O/d199v3NPntjifAZwuE4yC34ONpMPwqfTeG6fB2jcQrqCuKRXccco7MOsgb1KKau4YDaQIrH+nQnK7MdpMrjoFpLc+JWD8hwgwNn43QLIYQQQgghhJinJBlxDj3Tn09vWTQKz8FIEONwLIm72FC7ERvcy9XV/2LMK01br2rXosmTESjD4qQT9B6MN4BS4zzSdTcHi1vYuvgduOgLjOpXcV1tMUuyhL3hEsxRH/OPKm8AYLndCcB4eiu3NO7DkWFUC4oqlnYGuIgldhDIqKoLqCpFi823VfOg2ew95hhdtQouZTCKGdKtjKnFtNsBni1kbIsMHkP0eV00VZGGgpQmjAyf2RMthBBCCCGEEGJek2TEOfTsQJ6MKGf5bBrDYUzBBFxWu5bRYB+F4l8TxcvhiOk0Acb9wz0jACI1TktaITIJB4u7aHpVNAfpUP2Uo0/w8wO/S3eznzVpyMVpwKFo+RETgcKYX8SSstz0Me5ntMTLaHExmnEgJGAAhWZYvYKUCmU7hCLiwWgVgVMENh/zIbZDxxyj27cflKO3lHBQX4DvUga9IRZnsD6GRI+AcwypHpoamlETNz56ls64EEIIIYQQQoj5SJIR59COYYslpSXJkw1DQYPLq5ehgB2tnyUkJTZrj1lvMFiEB3iANhWS8EXWjdxOM9jB4hiMfo7uVBM6R+RgcTLML+77NoNqgADDCtOC9dejVHu+FQUNbTDZWmJ/gELWxVejX0O5GIchU60oauBK7OcGlphBwHLAW40DyhaaGmJvDJdl08pq9+0DYGtJM8ZiIjeMh6I1W4xzXXQYA6rKKEtoaKiGNVytejZPuxBCCCGEEEKIecaf6wK8nBwcB6cSWrMCAJFrpZIt4qmW7xPo7XjAmLfymPUGglY8lw8vUU4uoBE9x8qh/8Gh0hYOVB5jUXMti9XTFCx4DgJTYSBsZWnT8kJ5H04vYVlaIPSWAeBck1h76OwKxnVKV+JRSl5DqzqIo4jnygQuAdeGZiUhV3CJHiXWjm1UKCePMlLcxf5SnXVDo3hLOqfK6g7lg2NuKXSD0lRVjchcwS6/FYCi68axl1R1M6IqDBZjlg3LbBpCCCGEEEII8XIiyYhzxFjHWOwReBmlLO+Q0maWsrO4l97Cc1zsRvJxJPzOY9YdDlpot/n/O5rtjHc8j/GGeXXfO4kHx1BqnP3L3k2U5cmIQlqgv9SGQnFRrcjWch+PFTtoNa10pzFdGcSeR2eiSfyQ9iZc0lgBrJjap8VilMVicKqTTqvxiIDrAeiuDfJw+SeseqafNV2LUBO3lrjBfoxT7PWXEboxElaS0kJ3thdQHPQvwLM1rHIM6cX0FQ9AX/NsnnohhBBCCCGEEPOMJCPOkd6qwzlFuzL4Nv/hXvcdz1ceAWVot3kyYthvOWbdVPv4E4M+dDU1e4BG4Ulaaq+lYNoYK28CoGDBtxCaFvrDdoCJhESJjnSc5yoJ2/UidoRQSRJ64gJ9Xj/rbRePFvow3giR2kd/WANVoZg5Gl4Fpw6hAKd3UTStvK56iBH1KqrxrXx6a4Xlw01ufWXAxas83Ngw3+t2JKqA5+oot5ROe4g2l0/f2bAlRlU3qF5G1WL2l/aAy3BxgorCs/45CCGEEEIIIYSYezJmxDmybdAA0E4+k0am4IXKNpreOFo1KboUz8JQcGwyAiCc6BmxKBvFMx3UC5un3msUH8MzRXwgcKAo0x9On9JzSRJy05BladqL8cbZH0YA9IYdeblSR021YpRP5BwOQ6ItOAcuTxJo203NH+Xhlv00Wj/IUOdbuN1sYrzu+N/fifnct5oMpz5fWa7QNsG4brSLWWT7p8rRafom/lcgVhV2FwMgw47JuBFCCCGEEEII8XIxp8kIpdS/KqX6lFJbjvP+rUqpUaXUExOPPznXZTxTnupPcTjKFrSDumfZU9gOJESMErg8kdD0ohnX9y3gAK+fUuNV1IuPY1WMVU3qhUeppItR5EkL5wozJjU8FBfVQq4baeLUIQBiLx+AsiNZSsEsJTavopCsxrkmRnuErolybViqWFUCt5iDXg++9Wj4CetGv8/P3xpyzaU+uw4YPrHsdxlVryagiaKVRbYffcRcHgEpFTeOci3gYE/Qng+G0dd3THmFEEIIIYQQQpyf5rpnxGeAO0+wzP3OuasnHn9+Dsp0VmwdzHAqpWO8gGdhMKrjVBMwlN1A3qvBHn/9wHkooBmO0VK9FafrVEs/Yrz8A5xOaEnz3gsFA0NBJ0Z5x91WwWqWNwMAfJX3SKjYAZwaxbkIY6+kpXkbXraYTBlQGk0Z31XRrg1cD706H19il7cbrRWXr/X5xQ37cWofV47+H6wf++9ol9FqqxzQl7Ndv4ad+jpqdNBqR4AQ0PT7+e0k9tCh0zzDQgghhBBCCCEWijkdM8I592Ol1Oq5LMO5sn8MNDGLm2U8BwcKY6ASUJYOO45yELrjr++ZEE2DepCybHQpA/FaBhd9Epwmal5CxY3QcBBZ6A+OHQTzaKmyWBxdSYjD0Z45GsFBtGklcB6BLVNMriD1DpH5O7BqEam3jdAZUhazR93IJW432ytDLK+OYittBH3P8oMl97O6fjOranfQmnXwaMsWUixgMRj2e6+my2xBuQxHwIjqIFUWPThw5k62EEIIIYQQQoh5ba57RszG9UqpJ5VS31JKXXa8hZRS71RKbVZKbe7v7z/eYnMiMY7xWLMqCyiafMyIQ1ENlAUMHWYEBQT2+B+HMpW8Z4RvWZL2s2Tw9/CzpfjZEpYM/S5aV9HkPSOOHi9i5g1CrCwF51P3LEubIQUL1muSeg6ldmG8rfimizC5AkcJTQVUE8cIuBXssf+N51sbRHu3AvDt8SdoeD4vlrbxdOURKulqNo7eSmSLKCKUK4Dz6Pcuo2TrQImMAk+2xzAyfAbO9MIzn+NWiOORuBULjcSsWIgkboUQ57v5nox4DFjlnLsK+Cfga8db0Dn3SefcRufcxq6urnNWwNnYOWyJrGJpEuGbfCDLgaiKwwAJZVdHA74JjruNzCxBO0i1oyvpJ8wuYEXvR1hx8J8IsmU41UQBkYGBYBbJCCDRhpLxqHkZbalP2XiUTYrDUPM7iNwYjeghtCtSii/Gz5aSaI3PLpwapsZF3Ff8Vf7h0At8YttP+XzrCrzslTi3ioOFvTzW8lOKpsTGkZuITCuKAOVK4AJiVqCcBwQ80OlwYyOnfZ4Xovkct0Icj8StWGgkZsVCJHErhDjfzetkhHNuzDlXnfj/N4FAKbV4jot10p4fMKzIx4kkzPJ7MQaiMSDBV+MEWLQDbcrH3Ubdrp1IRsCS9NjxFYzO0A4KmZ5dzwggVoai9an6hkVpnggpWF0d96gAACAASURBVE3JxIDHmLeI0Bka0SMoFxGkV+NnBZxailV7sXoXRo3z00BxX/9eQKNVL9b1gYsYCZs81fIkBRvxqrGrCGxhoodECUMLOB+cz9NtHq46fjKnVAghhBBCCCHEAjavkxFKqW6llJr4/zXk5R2c21KdvMd3pSw2MFqu0WLyUz4QjYCyFBlGk08oYczxs94jvBIPsAq60r35lJsTApuQKYd2EGUeI/7xkxpHirWl4DzG/YyOJEBNbLLgDL5NURRJ3BKcHiIOnsWzLRSSmzHKx1N1UBlK76MePUGFTVzdeIgMD81yFCU6zS48dYDdpYcpmBKvGrucwMUoInAltGsBAnYXitCsndrJFUIIIYQQQgix4Mz11J7/DvwEuEgptU8p9RtKqXcppd41scjbgC1KqSeBfwTe7px7iWEe5x/nHOMHHAmWQ4UqLanG4BgL64ChQj+afLrPql1/3O2Muw14E0duvHE6ssNjLCxNDmIVeIBvSpDnb06oqfNbRmLP4aFoSw+PZ1qycT6VKCW0WUnibyfx96LNcgrNdWi7DNwIyrbQY3dzSXMvjxVfgbarAY8i23hz/UtooOYPsqf4KGWziCvHrkBPJCSca0PZCk1VYL/XPImzKoQQQgghhBBiIZvr2TR+6QTvfwT4yDkqzlnx7G5DMVVsC2vUM0NkFeNBDMoAlo6sgVJ5VmiYVx93O04VppIRtSBlebyX4WARAN3pbnarPKGhTPusyzaZjMgmchedScBImN9P4uEouISmirAuxjcX0vSfxrPtBOl1xMEwzhsgsikH1Y30RT1o14IjQakDbDRfJbOHy1IN+tjnnmRF8xVcVm3ydGU3qDLOtoE3xP1d41xYr6NLpdmfXCGEEEIIIYQQC9K8vk1jobPW8c2fJDQUjJaqBInGszASNAELpPRMdAjwXN774aX4E8mI4RBWx7umXu/Ktk+933BLZ12+yWQEOs9GLEqmD6BZsAnKWXxXwrkA33XR8J8BoNS8GS+7gQZX4JkNKFfGqnGcOsQNyQ8pu3FGWDZteyPhPg5Gz7M0Wcf6+jJU3h8DbMQjHeD27p112YUQQgghhBBCLFySjDiLHnshY3TMsTeA9tDRkob4dnImjQxFna7YA/JkhFPRS24vsPm//QWPVc1dKGcJbEyH2Tm1jSG1ZtblM8qRKIPnPAzumGSEIr9dwyqf0IY4KmjlaAa78Gw7hawbsFg1jtWDoEaoWJ9lbicK6NXrjtlnf/gig8EuVjUv4YJGF4oCmE6erQS4fftmXXYhhBBCCCGEEAuXJCPOkjh13PtIgotgUBsiX9EV+2jgYGEUlCFQIyxK8gxDMIuRMEILOBgJE0q2wYXNHWxobKUe1oG8Z8SB4KKTKmdTG8rWZzzI6EyPnVo0cBm+zchUidA4HO04PUTqDeCnl6BsgGKMkj3EFeMpnWYpmcoTIyP+omN3qOBAYQvjXh8X1S+lM+lEs5RxXebQod0nVXYhhBBCCCGEEAuTJCPOkgeeSKk2YE9oMbpBzaQsj/MhOnZX+skHr+yjMJGECMyJtxlYhQbq4Tg1XeLWkR9ww+gD7Cv5E+/DiNdzUuVsakPF+Iz52TE9I2Cyd0QTUGhXwrcO5yoYbweKJj2N9axIltOTXsxYtBrIx6DwgJp3nPEflGNP6VE8ermiehmVbBGYRTxaP3BSZRdCCCGEEEIIsTBJMuIsGKtZ7n8yZUW3pjfTWF1nKE1Y2syTBvuLw4ChjX60c+AgmkXPiMB6KKARDnFf+210ZkO0mjFeaK0AULBQ82Y/gCVAUxki51H1DJ1JODGDxnSTg1kmukDRaDTg4dMI9jGuLqRh1pDpw6FkFHgWnDp+eFmV0fS+BiS8YvwqCmY9m4Lh4y4vhBBCCCGEEOL8IcmIs+DeR1Ksg5al+ekthSlNo1iceFgcA9EokNCWJTSDJhoI7Ymn4/RNEe2gHsQM+Mv4zNJf59Pdv0E9HEM5iAwYFZ5UWRsTg1g2fUtkNa2ZN+NyBZugnaWhK1QyQ0aA0qNk+gCxXUk6MXNGZKs4dXiwzZfSH1SIK39DaEOuHr+Oh4svPWaGEEIIIYQQQojzgyQjzrDeQcNjL2Rcutpjd8MBlkWhxbmQ1kxT91OMNihVp7vRwWgUo4HAnHiWVZUtQgOJZ+lOhukPlzAUdOLpPjR5MuJkNbx8pXQiEpY2Z04ITN6uYZWPoci6eDuGCql/CEtMLbsU5zzas/xWi3AWyYhxv4UufT9bKj+hLWtlVe2/0z/Sf/IHIYQQQgghhBBiQZFkxBnknOOeBxKiAK5a7/PckMGoBikJoQ0oGs1w2AAMASOsrEbUgwztwM+OM77CERr2QjwHmYaeuHfqdatraAfRLHpXHK2pDAYHKl+3Oz5+74TAGQKb0tBlEtpY576JVQXiYC+WAlWznsV2KwDhLBIjqQ4InEVF3+TF0ot0Jyv48v0DJ30MQgghhBBCCCEWFklGnEFPvJix+6Bl4yU+VsOBmsPoOkNpg67Ew7NwoDgCGMocZN24R+I5tANjuk64/WHzaryJHgdtbhe4/EmmUzwgNMcOQHlCCuo6o2QDql5Gd/Olb/Mo2RiF40CwlovdN7iA+7E6I/X6yexynvLfxCDrcaY8q937Fla4HewqPMP+6AD7D6zksRfSkz8OIYQQQgghhBALxonvDRCz0ogd3/pJwpIOxYaVHlsGLaAI/Cb1THFNLUQBO8p9QEYbfXQ3LsROzDxRNxfn90K8hGF1FW0TyYgs6GdxOkrdc4xrRzEDLy3lGztJdS+jI4sYDhK6j3ObxiSNo2Sb1LwSz7jf5BL3MYbs9dS9ITxbYdTexkG3lEdaGihn8WyGh8Zzmog6AbVphxk46HQHQA/yXPk5Cjbiaz/upL1Fs2bZKRyMEEIIIYQQQoh5T3pGnCHf2ZTQaML1VwQopXiq3wCWtjADIi6s53mfZ9v246hRsU3KWX76PQd9vOaE+zCqNDUF6FBU5dLqblYnTwL5gJGZXXJKZa/rjNBpxoKMriREn2C8h9AZCjZmt3otO3g7F2ZP0mocib8Ph6UcX8iGxg58W8a5VWRuDTGrGeNSBrmKJodn/CiaPMHR7g5hVI2nK8/igph//26T/hF7SscjhBBCCCGEEGJ+k2TEGfDi3ozNz2Vctsajs01jneOxPkOmqzRcFeUiljV9DI7eYj++GmdJYzHVIP/V71uosmZW+wod4GB7a8q1Y89zYfJo/rqFqrvwlMpfn5xRw3P4TrE4PvGMHAWbsN58n53urQzrZQRO024MFe/7WErs461YuwTtLAU7QMn2ohnAAVXWM05Pvp2J2TsuSrejGCXVCQ+VHsU5+Py3mtQasxgJUwghhBBCCCHEgiLJiNPUiB1f/VFCe0Xxyovz3g+7xxzjqcLocUbSJoqAzthjPIxxylDkAOvGWhiOEmAiwaBm91GENr+3Zl9ljGG/wv6WUQAKFvrU1ad0DHUvw+GwOr+BYvkJbtWA/I6S25v/wjr1b/Tp9Qx7bYzodgb11STeCAqfKGvH6IS6p0m0R8k2qNheHDViLmCMZWBaUA5W2V2gmzga1HTMorXDjFYd//bdJpmRhIQQQgghhBBCnE8kGXGavvFgwnjdcfMrAnwv/zH/RL8BHGHQwFGgYKBkNAeKozhS2jnAFSMB/aU6uDyRMFtRpvEdmOAAn1r+Bh7vzCZm0oBB75JTOgajHDWdUbA+sbasqhdnt6JdxFr1VW53/4OySai4MS5VH+MO3kHEPjQBpWQlkfFJlc+YX6GhS5TNIFAnZhk/jH4hnyHES2mxAzjGcFj+a+hpbrraZ/dBy39+P8ZIQkIIIYQQQgghzhuSjDgNm59LeeLFjKvWe3S156fSTdyiYXQdVAPlClw5FqFQbG05BNRopc66sTJ9xTE8IMpmv88oreA5cDoFvx8X7MZ3UDDQVC2nfCzjXkqHCekLE1bVC7Nap19twHPgeQMUXcZK+yDL9Q/oMn1o1SRkH+Dhm7W0pkVKJsUoj6pfIXBjKFKeC1/LIfcKEg2XjSUoneCIqWaGwaifay/zeWan4T8kISGEEEIIIYQQ5w1JRpyifX2Gux9IWN6luXrD4UlJ9ow7DtUh0+PUTB3lClwxnr+/edEL+GqIRc1FlLOQ4WINz0FkTnxbxKTUrCWa6Enhit/D6TrBRDICdYLpOF7CuJfioRkNMpbGEcXsxKGx07uSwEGqQBOzjAfBQXlikE2tYiL2oEjI3IV4WQ+taULkDLEXoRgHFI/xe4zQTXdyIU7Vp3pH/OuOZ7j4Qj2VkPjSvbHcsiGEEEIIIYQQ54E5n9pTKfWvwF1An3Pu8hneV8D/B7wRqAO/5px77NyWcrqxmuXfvhtTjOCWVwboI5IADx7Ib9HQ3ijgowhYWy3Q9Ay9xT7a2cW60VYaKqLhG4oWVLJs1vveZ36WyD6OdmArXwHyREQpOfGgky9l3EsBaPr5j/31tRJPtVVfcp1D+kLWG6h7UFbPE3k7sUAhLUxFllKG0O0jYzGGLpxroZjtxtdNal6AdjWghUfc+7mi+Dgtdg9VVca5mLFM893e3bxhTT4w56ZnMr74vZhfeF1EGJx64kWcvCxrUo2HydNOAQaFRqGVwjlDi1dCxT6YfK7axIcsU2gNOkggDVAWnAbnG1Tmgc2HSkk0WCCyilBbghiUcaAVTikciiS0WAXaKJwFlMIElkJs8YxDKYVVXr6s73AK0GBShfLAC1IyHNY5UhOQOYWvHAU/w2Q+GnBOo5QlMBqcw2lDM2gQ2wytQJF/t1tUACahWFqM1nNehYpZss4xHNdITP55hsonjEM864EHse/IMo3WjkKQkqRBHpgaYm0oeAqXejgD2gPnW7xMEaUObRzOU8SewiqF1g6UI9YZdWPxlaLiqakLbpbk3xXtO4LMokw+Zo8tavy6RhlwHmTllBhHM/MxTuFpR8nL8LBUjSFz0OYHEIe4ie+TihJGTINAKRYVWvC0TJE8nzWzJiOxIrPga2iPHAU/751onaUeD5OZGIXG1yFNfEoqxK+HYMjr25JlNFV4ClAGBxQ8S2w0CohsXt9qDcZzkGkCz4JTaAvOKpxjIh4dZHk8W0/hMgW+wzOAUTgP4lKKS32cVaAg8ywFL2PcWNo9ja5rtHFYT2FLllFrwAH4ZM6hFfjKEWhomvwgNAqLxljwNHgqBQXO5dcaY0OMzb8DbX7KSOZjHHgK2v28e+mIMWTO4StFu+dRKMyul6eYWbPZRNX9qfqtUQBMXj9p3+FcPn6Ysgpc/vcwqxxOKfAs2iii1KDsxPUcD5UpnA9pwdIAsBpnwfdc3kaYqHNVkJI6R2odnlIoFMr4ecxqB36Kl/rkDQNL4mcY63AEmInvkq8NTWPQSuFrR0kZcIaaU/jaJ7YKYy2+1oRaUc9SQu3jnIdxDl85WmmiTYL2S4xqn8QYAhRtNoasiVIa/AKxthiX4umQQtBG1hjC2hStA4JSJyhHrTGAtRla+5SL0n4QYtJ8+CZ8BvgI8LnjvP8GYP3E41rgYxP/zol60/Hpe5o0YscbbwgphId/FNdTx0MHDJkeJVU1lCtTShXtqc+OlhEcVRYxwDUDaxmJYlD5gJRD2e2z7qMyoq5glYWyhXEvHyui4IC0+7Q+zVQ76jojcgENbdgwXj5hMqKqO2jJYCCAld5/kngpZQOjZv205ZSCgAG0q5GylNRtwDMHaXF9VH3Qrop1S3k+WsfrBzbx1SUGzBiOkC/u2crNXcu5bE2I1vCTpzP+5e4mv3JngUpJEhLnQpY16RvbyY+e+RSXXvRbfOCJe+mtj9JTauMDr3gT7X6RSsNn9+cT0mFH0KFY+gsR//l4TEsJ7nhlyA/viamOOVau0Vx9bcgPvpE/r7QqbnpTSJYp+g8lXNSpSP+pHzdoUJ0ewf/ZReP7lsLPhjRCx2NfiWmOOrrWa668zpF+/EXMYILqDAl+ZR2NezX6Z0I2PZ9w2StCNj8Y06g7brsrImxNGawHfPC+hEM1x40XaN5xRch9jyZcf0XIT5+Oed0lIU/e3aQ56ii0Kdb+N80HdnyBgXiMD1z9Nr6488u8Y8Pbsfs30919NR0d66VBsQBY59g+1sd7N32Z3voot3Zv4E9WvIU9X0hJh9OXjNlKq+LWN4fETvHDe5pTcfyqGwLC4YzsE4fjVb2zi03PWy57RYgfgB/6fHbbNjb3D/M3N1zGimJIMuLz1JcTojJcfZMj+/Q23EQMh7+1ntrXFekTFt2paPntiKTL8Z7v5DG7tKz44K0hQdDk9x54mPdccTlX+It58iuHY/aqt0bEpTrv2vRvfOian2Nd61JJSMxTzazJ7jHHHz1wiIO1jO6yz1/ftIRVrU1CL6RvdBtffOD3GKn3clHPrVx35R+wOCrhHQqofrSJHXToTkX53RFPN1M+t8Xy3hsCftI7yutXV/j0lkHeuWYx9333cCzf9qaIvv0Jy1b5kDhsrNhyTzOPxxs90k8ejmfvHV30PeVYcmVA9V/iafv78ZMJe3ZYKq2Ka+6IqFV8ugoZXp8l+/gLZBMx7b9rPa1LPF4cT/jTn27nYD2huxTy/mtXsbToMZxkfP65nfzC+gv5m02DU+fhr25cQuQn3L1rFz+z/HL+/Ecxh2qOGy7Q/PJVIX92XzztO+H7Dd7z4MP01hv0lIr8zfWvYjVIQuIUNZtNvEOK7J8OYibiofQ7XfzoqZRGHTbeGPLM4wlXXRny7D2H659L74rYuSdh/aU+xbEm6T8frt+CX11H9csKOwqVd0cEHY6vPxQzXoe7rgl56Ig4vfWuCFuO+c9tO7lr9WqSus/dP0gYqTouWaW54xUh3zuiHXH9nZrxyPCBB3unYuiPr+3ko1ueYCiOef/GK1lU8EGlbDr0Ald3Xsr/s+k+eutVekoV/vbaW3no4E6u7lzHX27aMRWnf3vjalp338v4qlt43yPfpbc+Tk+phf/3qpsof+/P8MudeK/5Tb754PsYr/XSUu7hjTd9mN5HPsXgrh9RaOnhqrs+TtWM8637f39qmTfc/GEWt0v7QQiYB7dpOOd+DAy9xCJvAT7ncj8F2pVSPeemdNM1Y8dnv9lkaMzx+lcHdLZNP30/3m9ILKTeENalKFvi+hGNQvFk+y60HqJiFRePttJfagAQOTigbpt9IZSmaPL12ppdVGzeM+KQu/m0j2/Ij+k0EQcKMRdVy3gnGlhTKVpSj4KD0NsLDkoZPBXcPuPinmoQsQfNOIYenF1PS+pRdgdwpDTdhTwfvhXlDqB0jKNBag0f3/YUAJes9nndxoBDQ5aPf7XB/n5z2scsTqwaD/MfD/0+l6x521QiAqC3PspfPP4NlqlO9kwkIgDSYceh/4i5/cqAjRuCqR91AOsvDaYSEQDVMYepw0+/E7NhlT+ViABwg4b0X/sp3OhR+2iMHYPmaL7e6ssV6cdfxA0mE8smpJ/fRuFGRfrPMZdvCLj/ezFXbgyojjl+eE8MaTiViAB449qAL3435pUXBXz1vphr1ge8cHc8tY/mqGP71zx+e/Wb6W0M8xdPfJk3r/gZ3vfoX7Fo9W386Ie/T6M+cI4+BXE6huPaVCIC4Jd6rmXfF9JZxWx1zBFXOSaOs2ELn5ger+qT/Vy+weP+78U0G1Adhd9Yv4beepM/fOgZXJInIpqjjg3XatxEIiJfPyH5xIsUbsyTrHbQMf6/YkpNPRWzh2qOD96X0FtN6a03eGVrF09+ZXrMPvmVmCW001sf5X0Pf5Wh5vg5OsviZI3Eij96oI+Dtfwv+wdrGX/0QB8jsaIeD08lIgAuWfM2DjSqFOphXh8O5p+5HXTUPhpzW1fIoZrj7x5KedOadv7ogUP8/Ko2Nn83nRbLP/xGzMq1IY1RyGqw5Z48fjZc4+M+OT2ezaf66b7Jp/4vx+7v8g3B1DYf/m7M8Bh4dU12VL2cffxFvLrmT3+6i4P1/PWD9YS/3LSbzGn+5KfP8cbVy6cSEZPn4Y8f7EOpkJ9ddclUIgLgjnXBVCICDn8nDtYyeut5u6q33uAPf/IoI0baCKdK1X2yo67H2Ufy+u3Kjfn19aJLAp69Z3r98+w9MRdfGpCNZLh/nl6/pZ/dRvENGjvoqH40ppBoNm4IuO3qYCoRAXlM3XdPTGRC7rpwFYNVw90/MIxU8/c3bgj44VHtiJ9825I09LQY+qtNg/zKRRfRW2/wl5uf4kC9wYHaGDf3XD2ViADorVf5g0338YYVl/OXm/ZOi9M/eHAXav1dU4mIfPlx/u8nH0Df8H8RXnnXVCICYLzWyzcf+H26Lr4rPyfjvSSkU4mIyWW+df/vU2tI+0EImAfJiFlYDuw94vm+idemUUq9Uym1WSm1ub+//4wXYrRq+dTXG/QOWG57VUDP4ul/aapnjm/vyrC6itVjoCIUITcPtZApx31dj9LmdrB+eAW4iG3tAygHJQNWzX7MCIBKHOJbCPx+vIkEwHb/ztM+xiE/RqEYjQxl43FxtXzCdRp2OZUMihZaLLQY2BleetzllbKE6hABB3CEGLeBNc0mZbcd0GwrbKAt7cQpi1P57COPDfezaTCvxFf1eLzhhpA0c3zya01+uiXFuYU7jsTZjtszwdqMkXovUdgx9WNuUm99FGWZ+lE3KR12VEJFKVJTDQaAsDD9OYAf5K8p46YaPpPcoEGX8wZw4B/uCRMVmGrkHF42mVq2OLHfsJCvUx1zYJhqwAK0hYqRar7sSNVRjtRUo2pSc9SxKGjNj7UxTGvYSm+jD4OlVuvFupMYffY8shDi9kiJNdNid5FfmXXMwuEYnRQWFJHHjPFaCvN48wOFHyiCiWmbe+tNnDkcYy8Vw5PsoEMd9XvqUM1R9PMfgs4yY8y6iURyb32U1J7EdE3nsfkYs5ll6sfTpIO1DGMhM8lUIgIgCjvyz90wlRiYdGScHKo5PK04WMvoCP1jYrk6lnevDwKFFxwdjzPUv8rNuL9ipKZts+yrvDv/TDFt3dQPvKnjrCdoFL31Jm1hMON50Gg8rafV2y2hmvZ88pgnvxOTeusNsoXbNJgyV3Grj3M9LoWHr+OFwszXTK0m68fj1292ML8toxTNXOdWxxzK5rfolD1/KhEBHHf5sje9XX6wltEW5u3r3nqDoudT8COcYyoRMam3XsU6ZoxT4/RUIuLw8uOYUgeU2qaSDJPGa714UdvhF5SacRlrX57tByGOthCSEbPinPukc26jc25jV1fXGd32vj7Dx7+a94i4/dqAld3Hdnm9e3tGPXPEXh9OxWjbQlcTljYL9JaqVKP9LKaf1/UWwJXY09ZH4KCSnvytBo3kBkoZRCZPRLQkkKkTJw5OpK4NVZ1StgWqXsarh9pOuM7j/p20ZvmglSUDHU0Pp04cVp6qEbEbjzFe9O+gmK2l7A6iCKm621EmQKkMRxWH5aNbn2T/xMWjq13zltdE9CzW3PNgMtFbZWE2uM9m3J4pWvu0l3qIk2F6StNjoqfUhtMQdEyP46BDUU0c9TjvQjkpaU5/DpCl+WvOU6jO6d8t1elha6A7FekRLcu4CaozPGrZcGrZxsR+k2a+TqU1H8tiafnwvkcTR3slX7a9oqjFeTfTIxXaFEPpWH6sxQ7GkjF6ikvw0JTLPWj18uxiuRDi9kih9qbF7lBWnXXMwuEYnZQ0HbFhxnitJ3m8ZakjSx3pRGagp1RAeYdj7KVieJLuzO/RP9LSsqKR5WP8KM2MMTtZBfeU2gj0eXOZPy3zMWZ9Dd3l6XVId9nH0+B7Ie2lw51A42Q4/9y9PC6OdGScLC0rjHV0l32Gk+yYWK60KpSCNHWY9Oh4nKH+dWrG/TViN22btSwfI2LGmNaK7tL017tLIRZHT6nAaJLOeB4sFmPttHp7PHHTnk8e8+R3YlJPqYh/HtzJOVdxa49zPa4nh6/jzebM10zrJuvH49dvulPhNNTjmevcSqvCaYfFUTMZ7ZUjbok+zvK1o3rCdJd9RpMYyOOhYTKaWYxS0FOqTFu2p1RBK2aMU09ZekotRy3fglcfhvooLeXpnbVbyj2Y+Ig/3Dg34zJyi4YQuYXQStkPrDji+QUTr511xjp+8GjCJ77WxDnHm24MWd51bCLihSHD9/dmpHoYo0eBEFyJtx8o44Bvdz9Kye1kSbODy0crVANH7CcEDvzmimO2dyLP8w7a0vzHf0sGKllz+gcLoOBQ2KTVBuwpxWyolVlxgmk+twWvoDOBRQl0JrCLW2a/O2UJVB/BxBSgLruKyIRo24LONoJdhFNVHDVSZ/mLZzZNXVgKkeL2awKuu9xn90HLP/1ngx88mhAn58GfQuaZStTBL9zwYZ7b8WX+4urXT/2omxwz4oAbZOWvhFM/7ibvv//eUymbt6bcdlc01XB48dmU177p8PNKq8IrwXU/E7F1d0bwu11TDaDJMSOaDxrK747QrYd/eO3a4gjetX6qsTM5ZkTzQUfwmxFbtqbcfHvEU5vT/D7puyIIEj54azjVkP3m9pS33xHx2AspP3drxMMvplz05mhqH/mYEYb/tetueoodfODqt3H33u/woVf9MUO7fsgtt32YYmnxOfoUxOnoiMr83bVvm4rdf+/dxAW/HMwqZiutiqjCMXHsd2j4renx6t7ZxZathptvjygUodIG//LiDnpKBf7mhstQYcaVbwsptCm2brKoX183LYbD31pP88G8DpscM6JeOPxjbPL++J5KQE+pyGNj/Vz11ukxe9VbI/oYoafUxoeu+TkWFU59ymdxdrVHjr++acnUD/HJMSPaI0cp6uDtN/3DVELiuR1fZlmxQrOU5PXhRIJgcgyHH/YnLC0r3ntDwDd2jPDXNy3lv3aPsvGOYFos3/amiD3bE4pt4Jfh8rvy+Nn6cIZ65/R49t7RxcEHMkq/cez+tmxNp7Z5zR0RHa1gShb/qHrZf9d6TMnyZ9etnvqhNzlmhK8sf37dbwSIBQAAIABJREFUJXxz137+8NrOaefhr25cgnMJX9/9HH9ySzT1HfjutpQ/vTU65jvRXfbpKRUBpsaMaPdkrJRT5UoZ/lHXY/938vrtqc359fWF51IuvWt6/XPpXRHPP5vit/uo35xevwW/uo7Gt/LxcCrvjmiGls1bU374RMoNd0yvc2+9KyL2Eu7ZuZvOisebX+tNJSQ2b0257ah2xPV3asKinRZDf3xtJ59/4QV6SkXev/FKlpWKLCu3cn/vE/zPa2+dSkhMjhnxrb1beP+1K6bF6d/euBr34j186NV3TCUkJseMsA99jOSpe3jjjR+aSjZMjhnR//w9+Tlp6SEk4A03f3jaMm+4+cOUi9J+EAJAzYcu7kqp1cA9x5lN403A75DPpnEt8I/OuWteansbN250mzdvPuXyOOfYusfwnU0JfcOOtcs1110REM0wg0Nf3fK3jyRUs4RasB2rxvFsF1eMVnj3ri4GCwl/cNVfs1r9iHds3cCr+5fz4+X9PLrsCZbGUB/8O6r6wpMu4zW8Dy/agW/hofjTGN16ysd7JOXgynoHzjl6apoxP+Nja/aS6uPHyeubn+cSex+YiI+V/4FMn9xtJwC/FP8O3yn+JgfMW3E4Ul0l8Q7i/L041Qt0oCnRFkT82RXXs6RQmlq32nA8/EzKrl5LqQA3XRWw8eKAUuGs/VnkrGz4dOP2bDql2TSMQivwggQ3bTYNi8o0WIXS7qzOpmEzBfrY2TSMU3iznE0jsRlKgcICdiHPpvGyi9sjzWo2DaPRaqbZNCwFD1x6eBaYGWfT8BWWWc6mYRXak9k0ZuGMx+18itnJ2TQmZ5GYeTaNBIU6xdk0FJHN61utHcZzqEzjHzWbBg7UTLNpGAXeKcymYSdi+kzOpjFRb7/0bBrgK+Z6No3zoq497mwaFrR3nNk0tMNxcrNpYMGbB7NpNLKMQHunPJuGdSn6iNk0nE1RC2s2jfOgL5FYiOb8m6CU+nfgVmCxUmof8KdAAOCc+zjwTfJExDbyqT1//WyVJUkdW3ZkbHomY3+/pbWseO3GgNU9Mzfmdo1ZPvJEQjXNqAV7sKpGR9LJDYOLefPBCqmGz6z+JhX1JGurndzQ30LmCjzR/TSBhfYM+k4hEQHwMH/LsuR7DNmrz1giAsAp2BFVuaTRxkAhY0Ut5Ld3rORbS/vZXq5jZuhLc2/0yzxjb2BELyE7yfEvJh0013O5/keW6G/zTPIhlF2Eb8uktpNUL8L6u7GqzkgK73vifn59zWXc0rUcpRSVouK1G0P6hy2PPp/x3U0pP9iccsVanyvXeaxZ5uF5UseeDt8v0O6fYNzYI9p9xaPfmNYmfKkfRxpmuOMomLETl4bDOamprc48ye3x4vLoKvDI/XhUjrM1sfBopegsTO+ae2SgTv/Z4lGcKWanvXZsTB4dTWV8Fs1UmJf6jXREmXwiCsD0m6PyvZSOfKkw/UnpJXcg5pOCX6D7OC0xrTSVQue016aqxyM+4gBNeer5bJNPp94xNiSa4bvgz1i2GZ7Oei/H59E97fnEX8NPaT/ieAqF6dfuk7saTsbXzPHoo49qJxztRHHsHxVYsy/dyd3UfHjp6d/E6T3Ojv4Key1LjtlSS1kiVIiZzHkywjn3Syd43wHvPhv7NsbRN2zZ22d5ca9h2z5DmkFbRXH9FT4XrfTQ+tgfsQMNy907En7S67CkNIO9WF1Fuw7uPNTNawfK1H3Dl1Y+yIsdX+GquMq7n7+Emi7xvy+7F6MMbRn4YzeeRh7S44C786zkMcf9lBcLY6yJWxgpKDrjgF/bs5y/W7eLwSg9dgWl6PXWntY+7yu8nbfG36dR3MoN4VsYHP9Dtgc30WAxoVmEMetIdR+pd4DEJnxy29N8afc23rx8JTcsXkZ7WKCjDe68PmRw1PDcLsszOzIe35oRhbBmmcfqHo+eTs3SRZpyUZITQgghhBBCCDFX5jwZcS49syPj2Z0ZozXHaNUxVnOYiXEPK0VYu9zjwmWa7k6NUjP/WO2rW97/UIzDkelRYr8Xp2to24pyBb639Cm+37OPoegAfvAArxkf413PX0RnYyn3LnWMRA0qBlaOF3hSvfccHv3JGQ4SHvMHiUoeB8M6odUzJyLOEKc9Xmj+Oiu8T9MfQrn1U9y1N6DuN/n64pvwbBu+baWQrcWRYVVKs+n40gtjfOmFXhQeygVEKuKNq4r87FVFrrvcZ3+/Ze8hy74+y3O7Dg9uVC5CW0XTUlRUSorQB08rjhzr7Y5r5a/iQgghhBBCCHE2vKySEf0jlp29lnIBOtsUq3s0nW2aJR2K1rI6bgLiSCvaNFd1j9Ob7Gc4beLbmDbPp0V77MkeZ6wwRDmzrIs9Vg+9ndXjndzbXmJwSRujQZFg+DKK6SE26Z8Br3rC/c21OtDwmxwIEjRnd87uZwpXsyf9ABekj7OzcB3PLl/MkrjBKrcVx352ByuxdhXaltAuRDmNmuhC53CgEkI/obOkiAKIAsWGFR4bVuTd/WoNx9CYZXDMMTzmqDUdg2OWfX2O1IC1+QMgCiUZIYQQQgghhBBny7wYwPJMU0r1A7vnuBiLgYE5LsOk+VKW+VIOOL2yDDjn7jyThYF5E7fHM58+u5O1UMt+pst9NuO2xsI5xwspHhZSWeHslPeMx+08rWsXwmctZZyd862NMB/O6ZkkxzOzsxK3QpzIeZmMmA+UUpudcxvnuhwwf8oyX8oB86ssC8FCPl8LtewLqdxS1rNjIZUVFl5555OFcO6kjC9P59s5leMRYn459eGUhRBCCCGEEEIIIU6BJCOEEEIIIYQQQghxTkky4uz55FwX4AjzpSzzpRwwv8qyECzk87VQy76Qyi1lPTsWUllh4ZV3PlkI507K+PJ0vp1TOR4h5hEZM0IIIYQQQgghhBDnlPSMEEIIIYQQQgghxDklyQghhBBCCCGEEEKcU5KMEEIIIYQQQgghxDklyQghhBBCCCGEEEKcU+dlMuLOO+90gDzkcbYeZ4XErTzO8uOskLiVx1l+nHESs/I4y4+zQuJWHmf5IcScOC+TEQMDA3NdBCFOmsStWIgkbsVCIzErFiKJWyHE+ei8TEYIIYQQQgghhBBi/pJkhBBCCCGEEEIIIc6pOU9GKKX+VSnVp5Tacpz3lVLqH5VS25RSTymlXnmuy/hy5pwlrQ0Sj/WS1gZxzs51kYQQQpxFUu+LUyWxI06XxJAQLy/+XBcA+AzwEeBzx3n/DcD6ice1wMcm/hVnmXOWxsA2tt/zHpLxXsKWHtbe9fcUF69DqTnPYwkhhDjDpN4Xp0piR5wuiSEhXn7m/JvtnPsxMPQSi7wF+JzL/RRoV0r1nJvSvbxl9eGpCwJAMt7L9nveQ1YfnuOSifOdMTKwsxBzQep9caokdsTpkhgS4uVnPvSMOJHlwN4jnu+beK33yIWUUu8E3gmwcuXKc1a4hcw5S9wYxpoE7YVExY5pmWdrkqkLwqRkvBdrknNd1POWxO2xRocs//WFBje+LmTDZcFcF0fMQOL2/HXcet8ZmvXB414v5juJ2bPPmgS/3MmyW96LV2jFNMfo2/wZaTOchvMlbk/U3pwk7U4hXn4WQjJiVpxznwQ+CbBx40b5s+oJOGcZG9rGpnvfQ6PaS7HSw7Wv/3taFx3uCqe9kLClZ9qFIWzpQXvhXBX7vCNxe6ydL2Y4C09vTiUZMU9J3J6/Zqr32y68hWY8zKZ733vc68V8JzF79mm/wJKbfpdH7//gVJy86uYPov3CXBdtwTof4nY27c1J0u4U4uVnIbQi9gMrjnh+wcRr4jTEjeGpCwNAo9rLpnvfQ9w43BXOL3Ww9q6/J2zJ74qZvHfPL3XMSZnFy8PwQD5YVaPucG5Btr2EWLBmqveX3fKeqUQEzHy9EMJgphIRkMfJo/d/EIOZ45KJuTSb9uYkaXcK8fKzEHpGfB34HaXUF8kHrhx1zvWeYB1xAtYkUxeGSY1qL9Ye7gqnlEa3raTrF79AZi2+1mi/sGD+EiYWprHRPAGRxBA3oVCc4wIJcY44Z0mP6MoczMWtEE7htVwwvd7XAZdd9x6CsI00GWXbk59lpH/L1PXCOst4PExqEwId0hJ1oOU6MaesMaT1QaxNUVEro9aQWounFKHWtAYFkuYw1mZo7VMoLMbzT69JaE1KVOxk/fXvwY/ayOJR9jzxWaxNz9BRiYXCOUuzOYy1BusMG2//B4znkaQ1kno/e574LA5Ff22Y1FkCpemIWvA8jVdexLq3fgLlBWAtzhri+ghV7ZGaDE9BEYPWmlJhEUppqYOEWMDmPBmhlPp3+P/ZO+/AKOr0/78+M7M9m0JoqwjShYQSIKELggIHep6c5fydd3qH3UOlWxAIB1gQPWxnw1Ov6vnVO7vYQOktlCAdqS7E9GT7zHx+f2yyyUK8Uw8E4rz+SXZ25jOzO88+85lnnud5MxRoKoQ4BMwEbABSyqeBd4HRwG4gCPzm1Bxp40JR7bhSfEkBCVeKD0WpS4ULR8PsC5Yxdc3r+IMV+NxpPJQ3lnPJwGm30i4tTg7VlSY2O8SiEAxInC5xqg/JwuKkI6VJoHQ3W96fSLjKj9Pro9uoR/D8gKUQ0pREw0G+jFYe5/c9iosPFt+Ax+NjwICZ7Nv6DxTFjilNDlfuZuHqCZQE/WS6fdzR91HOTu1g3QycIkzDIFC6m8LFk2iVcwPBs/KYUu98zsgZTabDRfH2f7B928t4PD6GDH2Y9PSO/1NAQtEctOo3nic3zkzYwi398lFUxwn8dBanO1KalJftZmPBH+nY9Wo27fw7HbtczbPr8ut8xKAFHIhGkuxyfu5ltFJg89s3Yndl0q7veLYvmYXmysQz6C6mbXoNf6gMnyuDuT3GcnD7Ivp2u5mMtHZ8VbXX8kEWFmcop/xXKqW8Wkrpk1LapJStpJSLpJRP1wQiqFHRuE1K2V5K2U1Kue5UH3NjwOHKoO+Fj+BKiafC1dbwOVx1qXDlejgxIQXwByuYuuZ1yvXwKTlmi8aPaUoiYfCmxV1TsNrSF7f4cRALlSUCEQDhKj9b3p9I7IcshagOUEasQb9va9IFgEDAz4oV+WT3nYjDlUFVpCxxEwBQEvSzcPUEqiJWCcepIhYsoXDxJMJVfmxtBidu+CB+PmcXvMtXwXLOPu/nQPycLl0ymXC4+H/ab9jU+WNNIALitvDHjTMJm/r/9oEszijC4TI+/WQC7Tpewsdr8unQ/hKe3ZifZBdF0erj7HLK2jeoQhCu8tM65zq2L5lFuMpPZu8bEoEIAH+ojHs3vc657cbyzmcTqAgXWz7IwuIM5pRnRlicPKQ00YN1Kb+auy7lVwiFlIx25FzyAjGpYxMaKTXpbrXopkmmw8OE7AtJs7uoiIZ4eddKdNO6QbQ4OUQj8b/eNEHp1/HMCAuLHwOmESX1rDxa97oeU7GhmDHKNzz/g3WR1/UYYaUK3XQkbhBq8Qcr0GWd3w8E/EggEigmJgyu7zWbQLSCd3e9xN6yLZQE/eim1f3+VGGasURQy5CywfPp1ByYwkZ2j1tp2fEyDAlVioJdj2LTjm8W+G3S4HUZS9wQ1lIS9KNLq0yjsSOliR6qwNTDGIqge99JONPbcX6/WTg9Z3Ftr7kEY+Us3vkn9pZtwa55GrRLQ1EBsDlSEzYsnBmJQEQtmY5U0tI60a//w0SlnTRH0yTbs3yQhcWZgxWMaKRIaRIq3p3Qa65tAuRq2iFRX7en+iAT1+bjDxXhczXnkdyZdPC2SUwwHKrGbV0vYHbB2/XSOy/GoVpmY3FyiITiwYcUb7w0I2Il4Vj8WLC5UXqO45bVbyT87YO548DmPum71vUYZRW7eXfZZEZc+Gd87rSkGwWfOw1NKGQ27UZJ8RY8Hh9Cgr96H09urku9/m3OTP7viyepiBSjKVb3+1OFothwen3YXJmoQjR4PsN6BIfLi+vc0dy0/B/1SnIuo31K06SAxLctxdGEjUy3L+mmMNPtQxOWKlJjRkqTcNkBYsFiijb+DduAcTy9bQFpjqZcnDWB+1bfm5hnzu5+B+98sZCoHmjQLlUz3uw0FqnE6fURrvKjGBF8rrqARHZ6G37X5afcuvKfCbvNz5nO21/MYW/ZFqDG7iwfZGFxRnDKyzQsTg56sCwRiIC4TvOetyeiB+POvCxSkQhEAPhDRUxcm09ZpO7CIKVMBCKgNr3zbUvhwOKkEQ7HbcvlFggB0YhlaxY/DspNybS1/0ryt9PW/oty8+T/BsLhYt5dNpmqgJ8De97gobyx+NxpAImeEV8dfI+sbtfW9BeYTyBcnAhEQPxJ5AsF+fy08w3c0fdRvA6r+/2pwubOJHvEAs7JvYFdO17mobzLks7njJzRnOVOx0Bl6po3jinJeYOSaCBpvG9biuMSGrf1yCfTHS//zHT7uK1HPi5hPcBozOjBMqKVh9j/4SxcWRfz+LqplAT9jOj0G+7b9IekeeaMzY8x+rybyLS7mJczMsku5+dehheJ0+vjQMGLnDd0Fk6vDxcG83pejq+mjPiGTiOZXfBukt3OLFjM6M7jARLBMssHWVicGVhXiEaKaUSTdJohHpCoTfmNmrHEBaIWf6iIaL2u1zFTbzCNLmbVf1qcJMI1mRF2h0CzQSRsBSMsfhzo0vyv5REnC1MaVAXi14u1hU+SCzwz8GoMCaqAA3veYG3hk/zqkjcZOep5ilY9iyP74gZT8s/ytiXT7bMax51CFFXF06QDMuhh0+e3c16kkj/2vxEp7CgC7ELB+HIpsTaDG7a5YwJgMTPacPnFsWnweoTw0seZkDsJ4UpDhiqoXPo4jHrgpHxOi9MD04ii2FxEq/wIV1rCVty29Abnmc3crVi14j4A7s+6CZs9gzRPCzIAmzud3pe9hGlEEaqDXj99gQhRtq24lweybkBzpONyZDRoty297Xl4xDtolpqGhcUZhRWMaKQoqp02I+bhaNUdU+ooQiNyaDOKGk9bsys2fK7mSRcKn6s5dqUunVL7hvROTVjqBhYnh9oyDbtdYLMLKzPC4keDJpRvLI840ZimTiBUjG7q2FQHuqpxxZj/w9BSMKQJZgz/wQ9o23oYhjRp224E7duPRioaMdPACFcgQxUNpuTbVad1E3CSqa3PD8kIhtRRUXGqTmzOtLq+T4pAV1QuHvECkXApy1dMo0lqezpnjyOs2NHaDkLjG2xOEZQE/KiKHYREQWm4/OKYNHhFtZPRcRTepp2R0kR4WqJ2HJWYd1g0ThTVjhkLkdZ2CA5304StGGa0wXlmNFRCr67X4vG0xGb3YgoHhpB8LSWOSBXpjlRkuJyIjKILHUUoDMi5kxUFf6CoZAsXnP/EN/hKMEwdJARCJUipo6lOXI7476JWbtQwoqiqHaczWTpZmhKqA2AYoKqQ4kEo33++e6LHs7BorFjBiEaKcHgwm7Xm9Y+vpyrgx+vx8ZNBDyMcHgC8mov5ve9lyvq5iVq++b3vxau5EmOkqW4eyht7nMRbmnrya5gtfpzUlmnYHGCzMiMsfkQ0sTt5KO+yRNp8bf1+kxMso2yaOkfLd/HKisl4nE0Z0mM8G44so8c5Y5m64umEdN5DudcRMaI8vPLmRJ+A23Lns/rQBwwYeANm4Qfc1n1mUs8IKzX65FNbn1+ql/HPNdMpD/pJd/u4PDefjEhT3GmtkXBcj4cJ/RZSKe3cuuqFxDl+rO8Nx13jH8z9Ge9sf5xtxasT57v/2SO4MWc2zxbM+I/nWji8OM/pyfJ3byJU7ceV4iNv+HyEw3tqviyLHwTNnYEjoy3NB96GHq7mlp75vL33r3g1N7/vcWeiVMPnas7Dve4mVdH4eMfL9MsaR0UsSLURJL/g1YRdLsj9DWlmkL+vmJCw70vz8hmcO5XP1z7Evj2vMT9vSpIsaH7OCAJhP3/d8iAVkWJ+lzufQ19+wLlnD8bjbEqatxUV5Xv59JMJBAJ+PB4fFwx7lPSMeB81aUrkka+JLXodWVaJyEjFNm4stGz2vQIIJ3o8C4vGjGiM9f99+vSR69b9uBVAq6r9iUBELV6Pj7HDn8eb4uNI8CgPFT7DJa0vJNXmpTJWxVsHPmJq9k20dLcA4EiwhPlb/s3FrfNItXmojAV4+8AapnS7lJbuzFP10U4HTsqVxLJbWPt5lK0bY4y41MHaZTEUBS75heu/b2jxbbDs9jSmIuBn1a5X6NLuShA2kDG27X2Vfh2vIs3jO2H7qQocYdGn4ygP+rl84MO8uHUBv+v/DONX/SmpY73PlcET/X7LrI8vSSyL39Q+zqOrxjN94CKcUiEsTHQhv1Fh4QRwwu32TLbZWKCE0pJt/H3z/ZTXy1RId/u4qsfdZGZ2IaTA7z/7dVImw6zhb/G7mkBELT5XBi8Mup2gHkQVDgwZ4aNdz7HswL+A5PN9c8+ZhGPVuB1NSHe3JN3V/LhzHaz2s+ydGwhV1+3XleJj0JjncKecOBs+A/jR+dpwsJjyku1sXvEADlcmWcPn8cDyG0lzNGVEp9/gtqUTNYK087bnpU9+y4U5k4hoTkK4eHDz28fZ5f3ZI3nt85sTy9LdPsb0vptm3ragRzBtLr6sOoxd8xCMlrF41zNURIq5OnsST6yZTKbbx+R+j/PBp+MZ0udumqZ3YPF74wjUmxN7PD5+MuZlXK5MZGU10YV/QZZVJt4XGanY77gGkZrynb+PEz3eD4QVJbE4JViZEY0UU+pJgQiAqoAfU8Y7FevSYGnRKpYWrUpaZ6K8PvG/bpqk2Ty08bRCFRoZ9gzSbFvjabwWFieBcEhit4MQApsNQsHGFyy1sGgIw9Q5UFzA2c2647SnEY5WcKC4gNz2l5/Q/eimTtvmefTv/CtQbZQE/TgVNxOzriLNlkJFrJrPjxQw2NcNVXiYPfx9Fu96mmUH/kVJ0I8i1Hi/AEycKS05sXkbFv8N04gibK6kQARAedCPsLkw9Cgx1TyuxwOoDcoj6qaGJlJRhEQRYUAyqPXPuLDDDQhhR1FUujTti8fZDA2VULgU1dWS6io/qqLhcmWi1ChsmaZB90GzkRnnYpgmqqIgyvYhaxQSLBovUpo409uQO/ppTEVBETbG93saIWwITEyjCps9DUMa/HLo04Rj1ZQbERDO4+zSHyojPbUdN41+lx3736Zpejuc9jTSXM0QwoapmuhS54lVNx53HB57vCFml6Z9QW3O8GF/x6YoSBGid94ktm55iZLiLWQ27UZWt2uJ6iGMwBFsALddjFIWxHx7NQCBS/tTqgUwA1U4VAdNHOkoNVkUVAeQugFCgCIQQmB63JTHQkRNE7si8XRqjdmtFTLFjqiOony4CQxr/mxhcSxWMKKRoip2vB7fcZkRak1PCE2oDdbyaUJNvPZoLq44dxSTPv8CfzCMz+1kXv9RuNW6dSwsTiTRqESzxYPzNrugvNS6cFv8ONBUB0N6jOfZgpmJVPgbc/LRTnC9vV1zk9vhCv72+XhG597Hnf2eoiKq8VhBCf7g4YSff2HHcpYe+RSf28uDeTcBsK14NaY04moJ0sA09MSNqMUPg6LakbEQ6W7fcZkRMhZC2N1IvfK4Hg9gHCePOP68q7l1yebE9X163rmM7nwL5VHJ7Ss/wB+swuf28kDejRh6BS8uuYF0t48rBjzE8rUPEQoXM2bQApqkd0BRNTR7OmUeydTlTyaV+6Tb03/gb8nih8SUJuXRMpYUPk1O56vZeHQFPc8Zy5S1LyXsYHbO5by9dRYVkWLG5eTT1O0jWr2fEDLJLiGeGbGvuginaqfNOWN484v5bDyyJOETl256nMFZNzTYxyQQrWBQ658x8NzbuWXJloRt39//PIqLN9O9123s3/Mebdr/hI/X5CfKmEfmzqR6wz9o2eP/of1iEEc0SbGsZtbKOYkSk0dyZ9De0wZxtCSp/EK76idEt+/l4OAsJq95P/G7mT9iBCXr51O0fwmuFB99x87DblOt9AMLi2Owukw1UgSC4f3y8dak93o9Pob3y0fUuEGXYmN+73vwuZoD1PSMuAdXvQaWEUPhnpXxQASAPxjmnpVfEDEss7E4OcSiEq3m3kazQTT6n9e3sGgsmJAIREBcreDZgpmc6HBczIzw6ooplAf9KEKhhbcbd63YepyfH9M6u+Z1FdPWfMBFHW/kttz5fL7/39zYcyar1z9CKFRygo/O4r+huTNITWnFFXlzSK+R0KztGZHqOZuwEeSjgke4vufMJIlNxQzzUO619eQRL2bO2j1J533Omn1I3Ny1Jh6IiC+v4q41i5G2eEChPOjnnyum0qvrtVQF/LyzbFLCDsrMKFPXvpi4sfSHypi69kXKjlXdsGhUBCNlvLJ8It3aXcLzG/Pp3+bniUAExO1gRsFrjOh4AyVBP4sKZlIWKsLn8tHU7mZmzpUJu/S5Mriv51U8v/ND8gv+zuFQGf1ajwXqfGL/Ltfy+dbnuDEnWUZ2XE4+7+56iYs63MrdK7cl2fbdK7dzbvtf8vGafLpk/yoRiIB41vAHa/NJ7XoxX340i0qnwiG9hFmbHkmSJZ24djZl4bJEIAJAllWiv/Ie1YO6JwIR8X1WMWXNYpp2ugKAULWf1SvuIaqEfohTYmFxRmE90mik6GaEisrDXHrh85imjqJoHP5qDV53SwAieoCism081++xhHzbzqJPyWzWG2gSH0OScOa1+INhdCtz3uIkEYuCqtVlRpgG6LpE06xnCRaNG92MfYN8YuwbtvhuGEaMUKgYoahcNfQ5pLBjAsY3+PnUeo0z/cEqFOHEqXkZdu5YlqyYQVHJFgbnTD4hx2bx7RFCwZnRmuahNH57waI6NQ3NQ0wPYJo6O/xLqY6Ucnufh7A5MzGkiSl1ghVf8syA2/CHymhib4Y/eCBpbH8wjJQKE7qdT6rNSWUszMs71lFYfhRZb7pYHvTj8bTkovMfxm5PIyJMXNLEMM0GU+6t0s7GjWFUDMV/AAAgAElEQVQaXJgziaap7bg6exKKYm/QDlp429Euoxt7y7ZgYuJQnZjhYlp5zknYZWUsyFPb36OwbD8ALtWBXa3LrCkJ+slMOZeReXNBsTFp0MsQqyAcqyTdfRY39Z5LDGeDPk2oboYPfhjFnsLgAX/A5miCKiSR4Jes3fgE9sx2aJ5MYoqCS3M2KEsak3pSHwja+DAu6kHUpiQCEXX7rEKp1+Q1VO3HPEH+3MKiMWEFIxopdpuXjMxOvPjp9YluxFcOeBi7Ld44x6F6aJE+kFs++wx/MIjP7eaBfgNxqHVZD5oAnzvZqfvcTqz7QouTRSwqcThrghE1STrRsERLsYzOonGjCVvD8onC9h+2+nYYRozy8t3s3fs+mZ0vpzQa716f6Uhlbq9xDfp5vV6dv8/txZRhysNHcRkmRSVbasr+rCnEqUAIBZs7g1rLME2dsrJdLP10MheMepZ0t49mqe0IKDamrLwLf6iIIc37c0On69hbfYQHN/8fE7OuavC8SyR/2FSYmBfc23sgr+4pAFmX3dDZN4SIkDz3xYIkdQ3N1rTBlHvVknpttJjSpCJaxotb62xh0sAXG7SDQ8GjjOl6B5/v+TMRPYTE5IWNsygJ+rk57zHmbP30uG1CRgTdKE8sG9n+15RLG1PX/KleKdC1HDi0hD7tL+NvS2/l5+e/2KBt76suoYndRWkwyox1OxI2PqtPN/rmTiMYKaPJkDsRUhDSww2WMtsUDZGRGg9ItPERvqw7a1beQ9uU6fjc3qSAhM/txYzUfR5Xig9FsWRuLSyOxbpCNFIiRohXV0xO1JSWB/28umIyESOeIhY2Ne5atQp/MAiAPxjkrlWrCJt1k0u7KpnXvys+d/wJWbyWuCt21UqNsDg5xKLUK9OIByCsUg2LHwMuoXFbj+S049t65OMS//sNfyhUzNJPJ+PrfBlfhYoTMnrXdhzO1+FKpud2SvLz03M7Ya9pDeRze3mw70g+3PUszxbMJIqJ1+NjzKAFuFw/alWl04ZQMH5+AwE/B3a/x5UDHqZ3l98wZf28xM3UJeeMZOraF3l+54fc1/Mq3j64jHty2yad97n9u7Jwc0HSvGDu+vXc0W0Q2/a+AsRLQob3vJMn1k5NKilauHoCKYqNh3KvS0q5fyj3OtKsG7BGS1WkjMfWTEyyhaV7/8r8eiVB8dKLy3lu58vM2PwYY7Mn0szlY++e97ipptRi8a7nmNvrqqRtZuZczdmuDFYdeB2I+8Tz213TQCnQS3TveA2LN/6B8qCf9dv/yP39z0uy7Xty2/P89k8ojcKMtRuTbHzWui2URCOEzQjvr5qOR7XRyt2SWT0mJpcy95hEihTYxo1FZKRiXtSDNSvvJVTt56uNf2Ruz/743N6afXqZnzeS4p3/BOKBiL4XPoLDZUkfW1gci/VYo5FimnqD3bZNs1ZNg4QzrsUfDCaVYAT1CEWhIv44tCe6lGhCsKN8P157c5rgOemfweLHRywmUbV4jLQ2KKHHrOCXxemJKSVlkWBN93SFDIcbRXzPLB49QnpUcPfA5+Op90JDKf0K9Mj/fJxCqPQf/QKGNEizefGHyvjpOXl08J5FdVQnYBosPL87ppQUhYI8VVjA7Ly+vH7RNWhC8s6OxxJyj96UVvzswudJcTS1mleeJpimnpAs3LzpKQald8TWrFPSU91Ueyr+UBmZjlSkVPldl0txqhp/HNqDr4KVVMSCCCJ85v8qsU12RhN+1bkroNGj4/X06PT/AIldaNzZ9wkULR3dlEgZ5aPdzxLWyznL5uLZgXck1DTcMkosVg7O01bO0OJ/IGZGjisv+2DPy4xsfw3PDryVr0JfUxmtZHPJJmb3vAdF2NAUBbtmcnb7MThVB1MG/ZWYNNGE4IVBtxMxY6hCwSZUpFHF1dmTuKrbdHQTBCqZjtSkDAp/qAwDyQ7/UgA27ov7qieHTORIqJqKWJD3D67l153O5xxPM+7s3os/7/iCwrLS+PbBIM1T2qMpMS7oOwuJoAV21JjOM3lzMKWJWX2Eos8eRg6/H9HSh/2OawiLAOd5JqI509DDFXy94+883GUEniadcWh20jQHrfpNQeZNQCgaDmdThJUlZGFxHNZMopGiKrYGu23XptXaFAWf250UkPC53diUOkeZojlp4T6LW5ZsrOtIPCCLFM0yG4uTgx6LN64EqL3PiVmZERanIaaU7KksYfKqdxPd0x/uN5r2qZnfLyBhT6HS6+bx5dcn0p3H5z2M2/6/3cTpRowDsUqmrJ/DzB4TaO708at2Q7ioVS9KwhU4lCbMXVunmHRPn040cTrZVVnCo1s+48G8UTR1nw3En0wWVezko4IF/GLQozRP64BiTa5POYqi4fH4CAT8tG1/KeH0szhcfSgpzbwyWsmQFtn8ou1w5hQsTdjsg31H8bc9y1h6ZCcP5V2ZmBdkZzTh5qwc5q3biT+4o+bpcmv+vu8FJnS9nmrTzV3L3qqnuHETLs3NoXCQaav/VW/8kbRxpp3ib8jiZGBKE2maDZaX6WaIylAxMzcvJLdJT64892puX/FePXsZyfKjS+nZNJfZG97HH6zA505jRq9ReDXJsr1/ZcA5Y1i8528MbncL+QUfJ7ad0esyHt/2BoXl8b4StaVA9ee8G/f9iw7njGbWltVk2j3c2nU089buwR/cX+Pncnh6awGFZaX43G52VX7FI1v/ybycq3DqAdJs6Rz6ZAbhqrrP5fT6UGTc30mvm/Lyw7y+ZUGiFHpsn5l8VfgPMjuOxeVtRcCMsPrjSYSq/fHMiGEL8DbpgGIp0llYJGHNIhopqtC4NC8/qdv2pXn5qDUpv0JI7uvTB5/bDcQDEff16YMQdU+hwwbcfUyX9btXbCVsSYZbnAQMXWKaJJpV1v6NWZkRFqchZZFgIhAB8WZlk1e9S1kk+F+2bJiAUc3jayYnpTs/vmYyAaP6fzrO4kgZU9bH5elMKXhs61tc0XYw09a+SMQ8XjFp3rqd/K5bT17esa5GSeN9cs/5OZluH9f3nMnKbS9RHvTzj2UTCEbK/sveLX4IXO6mDLngYTweH+d2v5Yp6+fy3K6/MaPHnYk087cOfsCdWZclAhFQo5Sy+n3GZw3D507j5Z3LuK9Pb3xuN7/q3LUmEFHPNtYe4JJzLkGXWgOKGx9QbcK01R8cM/4HVBjWpKExEoyU8VHBguOUW8bnLeCjgkdQpc7ve9zJrzv8skF7+ck5oxKBiPjyCmZveJ+vI9Vc2PFaFhXMpF/rK8gvWJm07ewNS7ih00+AulIg/4HF/Cx3ZtKct7k7k4dyf8b15w2rCUQk+7lfde6Kz+1mXt9+vLT7A/yhMu4peIWi4NdEZITsEQtweuPjOb0+sgfNhddXQHUgoSBSvxT69XX5dM69naOrnyNUdSgRiIAaNY1PJhENWgpEFhbHYj3ibqTEjBClVYf5xbAX0KWBJlQO+1eR7qpR0zAMnixcxp09+iS6Zj9ZuIzZuRcmxrDUNCx+SGI1TaZrMyJqHx7oVvNpi9OQqGk22D09an4/5QBd6qQ5mnJF9t247RkEo2Us3vUcuvzfbuR0aZBpz2BOz+k0dTTljqxWaCKe6mwTtgZ9fFU0QmH50cRnMqXguqxJfL75SQ6XbgHik2/dsNKWTgekFKjOTAaPeoaIUPCHivCHinhy+0tMyrqRVJsXn6s5pikatFlVKDw98JdEzBjVsRB3987ibHc6/uCOY9YN09bTFYWGbV//ht+EIa1JQ2NDSpOYHk4ot1yXNQmnPQ2kidPWkt5dx5PiTCfFDKALW4N2ISWJQETd8grSbGnYFSdXZN+Nz9sJf3DDcdu2SWnBW8PvQ1UEHiH404b5NM/sxsU9JuFwpBGJVOCxpaBKkxRbOv7gnmPGCNM2NY07e2ST7rBxbcfhvLTrYwrL95PubYshJCnus8nJmYf02BGBKPxrE3K/Hy67EN2INlgKLY0YGbnXQkYrzus3kS83vUT514VAjZqGtCY0FhbHYgUjGil2mxdPZleuXzkNf6gIn6s5D/e+N6GmoSkKJdEgU1e/k9jG5/aiKZaahsWpIRaNT1hrq4BUKzPC4jTGrigNdk+3K98v4dCuurg46y5mFLyW6BI/O+cu7Krzv2/8DUT1CA7FwaSuk7hv3Sf10pyHMSX7cqr1WIM+vjgcSPpMqhB8VLDguLI/TbUaE55qDMPgq8pdLFw7iZKgn1nD/5Uozygs38HkdXPwuZrzdL8HMKTZoM3ury7Friq8smctV7bvzatfLuG2Lpc1aBuHg8W09TZtcBxF0OBy7Xv+JixOT6Q0qSzdTSBURLrbx+HSLby2fDJnN+lG3x4zmbTszaQynSZ2tUG7EAJ87rSkgITPnUa63UtFLMycrZ8yMbtJg9vuqjzKo4UfMqPXKDLtNgb2msLyDfN5//O43LDX4+OnFzxJIFyO5mnfoC1/WVnCo4WfcWe3fjxauJTpOZfwyt4lHK3+EreqkG5vQsaeEsSnaxPbiYxUUBU01X5cKXRn3xDCMsqrW+uVbuTN5Ms1T1L+dWFcTeMEqCNZWDQ2rCtEI6XKjDB5/dxEvag/VMTk9XOpMuPN0DQhmdFraFLn3xm9hqLVK9Owq3yDmsYP/GEsfhTU9oZQE2Ua8de69fDV4jREAWb0GnaMDx32vS+qEakkAhEQb8o2o+A1IvL7X6arIqUYUksEIqA2zfkTyqMRHIp5nKLC/QOyeOdAYeIzPZg3itj+T7k8N7ns7xeDHsXtsDrDn2qqwyWJQATAR7v+xPze9yapADzU+16Kw9U8UbiS6TnJNnt/3kie3/4Zvy94hzGtuzOn4D1uz/opf9mzmOm57Y9RJGjLczvf5p9fLuXBvqOSxnkgbyRBvbLBeYVqPcBoVERCZaz+aCJ7NjzH2D51pRH9s27nvg3LjivTKQpX8EDeyCS7eDBvFO8dfJ8Hcn+Gz51WszyN6TkjKI4UM2VtXLrzpV0fMj1nSNK203OG8vLOFYmyjsOhUs5qPQyvJ34cXo+PUYMeYkXBQkJmlFf3vcq8AV2OseUOvHOgMGmsOQXvMSHrZ7y740kWFcykKPQV4QvOiwcgiAcibOPGQooHtyODXwx6NMknjuxxJ6+unHpc6UbbHtcmekbY3ZYCkYXFsViZEY0UXRpM6XITndO61ylhVGxOpPyGjSgFJTt4atClSAlCwHsH19DS3TMxRlCPEdQrk9Q0DgeKCeqpNDlVH8yi0VKbAVGXGZG83MLidCJs6jyx9SPu7DaANLuLimiIJ7Z+xLy8y77XeLppJHWIh3hA4vuWaUT1CDFS0E3JhG6DeXnHegrLj5Kd0YJZvYdjV5wJv/7csBwqoxFcmkbMrGRi90Hc0W0gqlBIVUzMVr1RVQfjhr+EYcbQVDtuR4bVvPIUIk0J1QFiInaMmoEg3daCp/s+hioUFGHiDxWhChtLj+yjJBJiQrdBpNodVEYjCCSF5XEFjTS7C3+wAk2ojOs0HJui8dTQ7lREw3htTuyK4IHeN2JIiSoEfxpyOUE9rnzwVeBLUO0UlBxscF4RC5SguuLp84YRRdOcSNPAMGOoqh2nM8NSGjgDkNLENKP0Oj8fKU0UxcF1Q58lHK3AsLfEH1yVtL4/WEWqzYNTVXh60FgMaaIIgVMVXHzOT0AoPDXgl6hCASRHw0XYVQf+UBnZ6W24tuNwPDaNR/uPxq5o7Kos4qkvPknYbKbdQ7uUDsRMGHnhK7hVg+pYGB2Njp2vw+ttTsHuvzPcN5Anh2YjpYIQoGAyuk2HxFjZ6Wfx604DAIURHW9m8c6ncWguTKFSOeEXxBA4hIrX4aA8FECXYLOdxfUX/hndiKApNmJG+LjSDY+zKY6mvcga8xeCCpixatIUL6ZpUhauIiZNbELBLQwMI4KqOlCFiqmHUVQ7Dpf1u7Bo/FjBiEZKqppGC1cXblm6Cn8whM/t4v7+vUlV4ylibs3JwBbduXXZv5O6G7vqpQR7NQfVtrTj1DS8mpWaa3HiSZRp2OKP0RRFoCh1vSQsLE4nbIpCSTTA1DWvJZb53GlJikTfBU1R8bkykgISPlcGmvjuqWhRPcLeqiqmrV6CP1iNz53C9F79ef/gdq7r1IeALrhjRbJfT7cr2BSdG1bdzaSsG1mw9Vmey5vNB+/dQiDgx+PxccGwR0nP6GBNjk8x0pTII18TW/Q62m0XJ9QMBrX+GQPa3sLNny9OOu+v7tnB+G798bm9FJYdZerq94D4U+Y7u/Wr+T+NimgInzsNgaQ8VsrzO1/hruzxSBQWbvqCKzq0SzS1jGdKZvHa3vWsKznEg31H0cSu4W6R0cC8wsH+j2bRpN8NLFkyGZerKTm9xrNi+UzLts4gasszVn80EYcrk/Nyx/P5Z3fTf+BMoqpCWD/SYEnF0VAlitCYvX5lwi7z+wzEoSqJxpa1GQ+v7N3EuM4D+FW7ofRvkc2cgvcSShtPDriaRws/TJR1ZKefxe+yfsJtS1cnzXMXbV/P0iNf1mRgjGBq1q1M2zA3UbI8q8dEmjt9ibGy08/i1q7DmFOwJHEs+b1m4lBjfB1TmLrqI/zBaob4WjPuvD6Jxu4+t5MHB3ShnbcpmmajKnAkqXTj7Cbd6N8znxvrla3c12swPiNMdcxkyprXE59tbs4Itm2YQyhczEV989m15nEioRL6XvgIqU2s34VF4+aUW7cQYpQQYocQYrcQ4q4G3m8thPhUCFEghNgshBh9Ko7zTCNowN0r1+MPhgDwB0PcvXI9wZqHbFFTNtjdOGrWPYUOGbJBNY2QYT2ptjjx1JZpJJRjpURVQf8WmRHSlEirSZrFD4jLjDA3Z0RSivHcnBG4akrhviuqgJk5V+JzxUsffK4MZuZc+b1S3Esj0UQgAsAfrGbOhpX8smMvVGFr0K+bUiVqCmb0uJO3DnzEgt73sn3towQC8Yl1IODn008mEA5bChqnnOoAsUWvI8sqcX64mdtzF5Dp9nFhh5u4a/XS4877mDZdeXzLSu7PG3FcWdHLO1fgc6dxX84Y3jmwmQfzLiOgVzB1/TwuOWckYUNwz8oNjD73nOPUNe5ZuZVrOvVJqHIY0vYN8wpI63oxS5ZMJhDwk9Xt2kQgAizbOlOoLc8IVfvp0ONaltecQx2TN9bMRCVAfq9Bx5VUmJJEIALidjlz3XJKI5EkW5lTsIQxrbszbe0bXNF2cCIQEX+/goWFH/Ng7mUJn3v9eUOZs7bwuHnumDZdE2NOW7OYsmgoqWR51qZHqIiWMKPXKHzuNH7daUAiEFG73cwNy3DafUxdVedHx7TudJzvnLZiG6WRuM/3uJryiwEPJ5Wt3Lv+s6Rxf7/hc6KmkghE1H62ewsWk5V1E1UBPx+unkn7HtfGFTg+mkgkZP0uLBo3pzQzQgihAk8CFwGHgLVCiDellF/UW2068KqU8o9CiK7Au8C5P/jBnmHoUtLE6eCOHlmk2m1URmP8ecdu9JobNt006ZN5Ntf0740iFExp8ped69HrBSN0KfnpuS35ha8FmmmiKwr/8B9NjGFhcSKpLceoLc/QXolxwZewr/V/tjezWlKRH0I9VyH1tu/f7M/C4rugG2G2bZjD/Vk3YbNnEIuWsXXDHFoPmPu9xouYYQ5XHeC5/ndhSIEqJKu/XoLP5f3OY6lC4YlBoxAIVAESye6yEs42HChRkz/1zeapvYd4c/8RID6pNgGk5CxHJlOzbkQLlbLm4NKkcQMBP4aloHHqMQxkWWX8/9WFNLsgi+kD/0QID3NzL8BjsyGliRCCQCxGqt1OSThES6eXpwf9HEOaqEIQM6uZ3eeSeNq8YmNS95EYpokqUvjZ2aNItaciEfy2c0f6u1MZ2LdbYh7wzBf78AfD2BWNmzrn0j69OYaEP/T/KX/ZtZ63DmwH6lQ2Upp3oWXLPPbs+TcOe1oiEFGLZVunL4auIwMlGCKWkKq01TuHimKLZwMIhfUH/8LTg27HkAIhIKhH0ISNvKYtue3cbJxSISxMntxXSBO7i/l5l9HU4cVj09AUA004ebr/zShS8ni/azAwMWQMVahEjBiZjhSeG3QtMVMiUPAHC5OO1R8MkWpz1XtdhUt1J68TKiIqYzy+7RmeGXgfhlS+QQWGRCACINWe3AQzvl6YmFQ4GgwhAJurLdcPewndCBMQKQ2WrTgVBxOyR5Jmc1MRC/LyzmUUln9FWnpnLhr2NJs2PYnNEQ+4hKr9mHoEaUqEYjVfsWicnOoyjTxgt5RyL4AQ4h/ApUD9YIQEUmv+TwO++kGP8AzFqarcmn0ec9ZtSqSvTe/TA2eNXqJbs3F5+xwmLF+GPxjE53Zzf78BuLU6k/BqCtekpmE89j56aQDRxMM144YS1E55Qo1FI6QuM0JAlUTZbuIC3Af/s1RitEDHLJWYpQZmpURJtS7YFicfVdEIhYv59LPfJZZ5PT5U5ftdVlPUVLqkXsCkD6IcDUhaeAQzh15Aihr+7xvXI6rHKI3EuKsmM87ndvH4oL70x4uxMO7LnU08TB43FIA39x/B53aiCFCE4B+f3My1Q56mKngEj8eXdNPo8fhQLQWNU4+qIjJSEwEJETEpstmYtrKuLHNe/968sG0Ln/m/wud2MztvCBVRnQkrPk9c8x/oNwBNqWKJfyWDWgxj2pr361QQ8kahKRHSNTujHCkJ26mdB9D1XN7cd4T9VdUM9HVi0bZCPvOvqZlL9AfgrQPba9Q0VBa/ez1Dhs4HIBKtaNi2FEtp4HTD0HX04t2ULX8W77A7cKX4CFX7idU7h6YZi2cDSJNe51zNgi0fclX7XH5f8A7+YAV/HXI9U1p0wXziE2SN/5ly/RCOKKk8uypW4+8kM4a4+OvmKCsOmbTwCCYOtPGPvRu4skN7Xt2zjus69+ZIKMSMNavxB4M8OuB8fG5XIjMCwOd2URmr/9pLyAgmfSafqzmVsSpKomV8Vb0dTXgaLC+RMobPnZIISFRGww2qcuyqqGThpq3c06cH/9y1lxuyOtNcBAhW7zlu3CEt21IZ1Vm4aXvid3hv7xG8sncFu6r2suCLp3igz2RkNL4PV4oPcaQMmaJBy2ZWQOIkIYR4F/h/Usryb7n+ucDbUsrsk3lc37Dvaillyg+935PJqb6rPBs4WO/1oZpl9ZkFXCOEOEQ8K2L8D3NoZza6KROBCIhHi+es25TIfIgacPeqFfiDwZr3g9y9agXRer3SXCETY9ESZGlc5k2WBjAWLcEV+s83hxYW34dEA0sbiK/qbMxZ+p+30/fUravv+37N/iwsvituV1NGD344qYP76MEP43Y1/V7jhXUH+UvigQiAowFJ/pIoYd3xncYpjUQTgQiI+/6mhsB4PtmXm4uWcGu7VvjcTh4YkI1DgFNRGZubj11xsGfXW/QfOBNPzeerret3Oi0FjVNOigfbuLGJLv9VqRlMW7kh6Zzfs3I9Y9q0rXkdZMaa1XwVCiZd8+9atQK31oTR54xKBCLi71Uxbc37uLVUXGHzONsxFi3h6rNacE+fTiz6YmdNanzdvu5etZJrOvZO9IywKfHMh6VLppCV/Wu2bnmJAQPzk2xrwMB8hGJJdZ1uyEAJRW9MxtP9EvzLFtJ70AxcKT52b3qJgTXnUENhbG4+Bi5mFixmTOvuiUAEgM+0Yy5amux/nl9KuCyS5O9mL40wooMt8fqR5XBx687MXR8vvSiPRhKBCIBF2wqZ3qcHPnc8EyIehOvFO/u/qHnt5cG+o0i3O5LUZWpL0X7f407e3f4MCg2ry4VjxeT37o3PHb/ve+fATu4fkJWsytGnE3/evht/MMS8dZsYfW5rpq5YR1F1Gbs2Psa8XoOTxv1d9kCmHTP3nrt+A+OzhvPi7r/hDxVx18YFBJFxBY4L5iPe20Bs0etQXSe5bHFikVKO/raBCIsTz6nOjPg2XA28KKVcIIToD/xZCJEtpUy6IxZC3AjcCNC6detTcJinF7qUSdFiiE9QEmUa0kw4w7r3g+j1vlZhmImLRy2yNIAwrGDEicKy2zpiUVCUeONKURK306ALXGX/uUzD8JsoTQRmqcQoskqIfggsuwVF0chM78jPL1yEYeqoiobb1RTle2ZG6FIkJua1HA1IdPndnoQ15PtVQ6I34Ms9CO7o2RZVmIRNQIYpXPc4gwbPpn3HS0j1tmbkqEVI5BmveNCYbFYoAlo2w37HNWCYlCqiwet9qt1e73UQl6oes04QBQWJYGavEVTGwry8Yx2F5UfxB6sw5TfPAzTD5OnCbWwti8/fj92XXdF4YuAl/GnnYn7beTgjrniP8oOrUBQbgwbPpTrwFf0H3Iei2IhEKyjY8DiDhzxwor+qM55TabeGHkPXFDKveRYpTc7yTSV8dAe9cyeheZqiOdMZMep5TCPCsmUz6Tb4QfzBioQqSy12qWA2YEMpqgTq/NvRgMRrT36dZnfiDwZJtcUDAPXnrYVlpTxVuJGFg/uiCMHuymJe21vAmDbncXXHHlRGI6TbXFTpER7Lm4thRlEVFa+WwpTs2ygPlzCi4w1ompsFhW9wZ/eLSLV5qIwFeHzbG8zKuZL1+57jmcHjiUQCaKqG3Sa4PacF7bzN+bKyOuk3EP/N2fAHQwgthZLiLbBmFn8cuhB/qILKWIDKWLDBuXdlrJrCih3x16EinN5W9O09CVfMibnfjwSw5t7fGyHEFCAipXxMCPEo0ENKOUwIMQwYBwwE+gApwHvAMmAAcBi4VEoZEkL0Bl6oGXJxvbGzgD8BduIP+X8OxID3gfVAL2Ar8GspZbBmnEdq9lUMXCel9Ash2hNvXdAMCAI3SCm3CyHaAn+rWf/fJ+cbOrWc6lnFYeCceq9b1SyrzzjgVQAp5UrACRz36ElK+ayUso+Usk+zZs1O0uGeOWhCJKLFtfjcLjQh6r3vPuZ9d+J9AKkqiCaepHVEEw9SPdVm03iw7LaOWFQm+kWIUol0QDcOHcgAACAASURBVFUaOP/LwwDjiInaSgE7mEeti/UPgWW3cRRFI8XTkjRvK1I8Lb93IAJAU6CFJznw0MIj+C5VcVKaaEJJ8v1ZTdIxv8GXB5As3LSVolAIIUBDEA4VY5oG69YsQFFteFJakpLiw+XKPGMDEdD4bFYoApGagshIxa40fL2vjEbrvXYTMpIzx873+aiIRbnlsyXc8tln/GFTIbdkDSQ7vQU+t5f91eXfOA/QFZG4CfO5XeimmbSvfdVVHAkGqIgFUIXCuJXTkC26otrcVFfsY+XyfD768FYWf3ADSz+dTChUbJVpNMCpsltDjxGuOkR1xX6WvXsjH/3zUpa9cz1KWguMUCW7X7mOva/fgmoYBCoPEQ4VEwkcSVJlgbjiha6IBm2o2jje31VFZdLrimgYn9tNZSxMyIgeN28tiYQ5GChDl1Ee3fIZbx3YxtTV73Hz5//i0S3L2FNVSnnE5MkvPqAsGubNAx9SEgly4/Kn+NWyp5mz9VM89jRKIpVMWfs8N61YyJS1z1MSqeRQsIxera9ARooIKUFuWncXhRXbebTwPfZWHWXhpq2J3wDU/uZi+NwupB4v7Sgp3oJpVDOr4GWmrH2e4nBFg3Pv4khx3WtXczSg8sMFUB7PVhIZqWDNvf8XPgcG1/zfB0gRQthqln12zLodgSellFlAOfHgAsQDDuOllD2OWf9mYKGUsmfN2IdqlncGnpJSdgEqgVtr9vk4cLmUsja4Udto6tma8XsDk4GnapYvBP4opewGJDfbaSScasteC3QUQrQVQtiBXwBvHrPOAWA4gBCiC/FgxNc/6FGegbhVwf39eyelr93fvzfumtbsHlXyQL8BCadYWz/qUesuBBGXgnr90MRFRDTxoF4/lIjrVJuNRWMkFqtT0hClEukVxJxgj4GMNJzxYAYkshqUDIGSIazMCIszFlWJMHlQXUCihUcweVB8+bclGC7DrpLk+8d16ci/v/Yf58uVcUP56+EDiTRnBZ3qI+s5f+h8du/8t1WScQaR4XLxYP9ex6Sr9+ad/V/WvHbzYP+BnOVyJ13z7+iew7SVy49JGV/PuC55TM8ZxqLta/ms6nCD84C3io8m9jW9Tw8cNSUW8Rr4XF7YtpW56zdyZ9bPCRsB/KEiJq+fS5WMsbPguUSKP8TLNIb2z8chrTKN0wU9WEyw6jAbPp+VaFoZqvaz5uPJpLTOw+710eaiWQjVjtORwflDHyJFgXk9R/DOgc3clzOmRqliML/fto3grwcm2ZB2/VCUNC3J380Y4mDx7lji9cSB8PaBHdzbuzfv7P+CdLuD2Xl9k2z4vj59aOG0owmY0WvYMUoecRueU7CUi1v34/cbX+PKtpcxZe2fEhLK/lAZC7e+zUN9fp2kZHRfz6t4fueHzCh4DcPmZfL6efhDRby4+29MzxnBOwcKuKdPVtJv7p4+PXh33wEeGtCH5ikZCfv273iNh3Kvw+fK4KXdH3Bfn15Jn+H+fv146+DbNftuzoM9JuERGs1/Mg/zo02IjFRs48ZCSnJAx+I7sR7oLYRIBSLASuKBg8HEAxX1+VJKubHeducKIdKBdCllbeDiz/XWXwncI4SYBrSRUtamqR2UUi6v+f8vwCDiAYps4EMhxEbiIg2thBApxDMx/lmz/BnAV7PtQODvDey30SBOtRxejVTnHwAVeEFKOVcIMRtYJ6V8s0ZB4zni6SkSmCqlXPzNI0KfPn3kunXrTvahn9YcCnyNXdgxpRPdlGiKQBFhojJKK08ziqoPEjF0bFpLdCnRhCCmH8Gh2mie0io+RnWAWEznbGzxVE1V4TAxbDaNVj9up3hSOgj92O32o7fClH5tMvgiB7bHI8gU2O+WtN0Gab93oZ11fBBMP2hSMSuE66c2YtsMZECS/nt3A6NbYNntac2h6jJmrP2YazsNSKQKv7RzBbNzL6RVSvq3GqMq+DUhUoia1ChpCCCunKCh4I7oKIaJqSpU2xWiGGhCoCkmTmlgGEGEaSKEgiulxemSCXHC7bax2awpJaXhKIZpYiIwZVwqVhEGYcMAJDEzSqbDQ8iQGDUZNIaUjP3g3ePGe+Wikcze8CGFZfGAw4ejxuEKm0nzAKfdjlEzd1CEIGqaKEJQFgnyyKYCCktLyc5oQn7eQEzTpCxaShOnG4GKpgi8GJhmBFPqKELDrrohUoWwObG5m5wutvd9OeN9bajiEKHAUT5/78bEsnM6/pT23X6FotoQioZqSMBk68f3ct5F8zCMKMuXz6Jr3t2kpJxNzNQwTMHuygpWHPZzcbPmtLQ7sDs0oi47BwPVmKaGW7PTxGln0bYCBvva0tTpxmNTCRlB0h12FCSmkCiATShETQVDgioEAglComKiKApRQxAxTQSSyliAqGlQGY3Q3OXi15/P51/D72H6+r9yW5cxtHDGFWCKwmV0TG1C1FDRZXw/JdEyFhT+H4Xl+3lj2DR+tuQ3ie8hO60z13X4f3RJ7YihxzD0GHZnOgrx78OrSoLSRdQw0TDxaFGqTUHUjP8uHWq8b1vMNLEpKppiEjZjcX8dq6Rg2SwGnz8Xt5KBEjXiGREpnh+ieWWj7o4phPiYeJlDU2Az0Il4CVRb4EvqyjQSjSmFEJNrlv0B2CylbF2zvDvwt3rrtQfGEO9reBOwF1gqpWxT8/6wmvdmAM9KKfsfc2ypwA4ppY9jEEKUAC2klHrNel81tgaWp7xnhJTyXeKNKesvm1Hv/y+IR4UsvgNpqpfDQYO7l+/gSDBKS7ed+we252x3vBmaS0unNCa5e8lG/MF4h+D7B2SR7qjzRV5N5UhU5eplRzkS0Gnp0Zg3qAVNTrnVWDRG9JhMZEYQkMimCrobQGIWm9BAMMKsiKcGC49AuAWG3yrTsDgzsSkaJdEgU9a8kVjmc3uxfcumfqaUlMbcFEeizFm9P+H35wxoi24ozF5V58dn9W+GqVdTqh9kwRcLWdT/QRzhAF8/dwVaqg/fr146028GfzSYUrKnIsBzhV9yRcfWzFtTd+7nDWzHCzvWsdR/AJ87hRm9+/PE1g8piQaYkXMxhoyXa9avYY+XWJQlAhE+t5fCiqMs2r6W27L600RxEzFVJtabO8zrn8X/7T7M+q/Lmdc/i7YpqSDhtqy+3PFJUcLu7u2n1ew/yIN9R+Gzqfz5zTHx5q+DHsYZk+x742baX/wIrqYdLBs8hSiKhqGHEuoZ53T8KW26XsHHH48nEPDj8fgYMvRhnIoduzsTpElV9WGaN+tJhisdf0hw9/JdCVu8J+9c3ty/n5FtWjFv9RcJ27mnTyce2bySX3U+j3XFRbx1YF/iGHxuN1NyzuOONU/hc2WwoPc1IJowbcWWpO3/uXsvv+nSnoghyV+zM/He9NyOPLl1GSXRIPfnjWRIi2zsio0p2ZcT1u3c8dnWevPfDF7YupvP/CU123ZiSvZVvLDrXTSh4nM1xx8qAqCwYgcLvniS5/vOI7rrXaqKv6BV7k3/n73zDpCiPP/4552Z7Xv9gFsLvUivx9GkqEEFW9RoND+NxBJjw4JKE4UgimKLvRANJL/kpyYxKrZEBekcR72jd9AF5PrebJuZ9/fH7O3dwpkAUYNkP//c7uzMOzN7z77zvs/7PM+X+Z/fjduTT6t+s5iyvLLRuLk5r21emvwdPlo0lFe3vkx5tILbO9/M1NVvEgxXEvDkMKvwOlq1Po/q6l0YXp3snPTv4FtkIXb6wy+A9dh1G0qklFKIf+6HkVJWCSGqhBBDpJSLgJ/VfyaEaAvsSNSjaAn0wHZGtBRCDEyUGLgauw7FZqBZ/fZE2kZHKWWZEGKnEOInUsq3hH1BPaSUa4HF2JkDv2983pOJtIWfpNSZMGHxdvbrds7ofj3GhMXbqTPrP9eYsKQsKVEU1CNMWFJGndngaQibChMTjgiA/XUGExcdIGymzSbNt088BqomwJCICOABM5EGbVU0HcEla+ztig8Un0DWgTTSqRppfngoQmFKn7MPq+h+NspRDkQro3G+1KNJRwTY/X51VDJt2aGUfvyhpV/TzJPBe3vfZ1bfSWRIhdCyuWiZAZpf9iSqL52e8UOhMhrnvsXrGdU6kHREgP2/n7h4B6NbdgIgqIeYVrKUazsOJqhXM231+yhYTOqbGjL+6IBBKWoEU/qczexNxVzbsQ/TVn2KS3MfMXaYuLSMn53RsuF1py5c37knDy+vSLG7h5dVcW3HAbZax/KPCAt7caS2LsgHi8aBP4dYbZDt79+NoVd+r99jmlSkouLy5NPnzIfw+AO0634NC+bfm5RjtdVRxiEdHtoPGEus7hB+/6l07HIlOn4mLN6RYoszVuzhZ53aM2PllhTbmbFyC9d06sK83TuPSB1+oF8fXt0yz943XMnXMYv7l2w44vhRrU+nMmokHRH1n00v3sq1HfsT1GuZsOJjxna9CCktqmIm04u3HTH+HdUm0OjYLVTFJGO7XMy6rb/niX6TUxQ5ZnS/g5JVj5Pf6XzaDhjL/M/vpq4uSNvuY5myXD9s3HyQ0S07J9oOMX75F1x4+miua39V0hFRf4/jit8gv/WPWL/2VT7/7C4ikfTv4FtkIXbqw1Ip5QEgwpEpGv+MMcDziTSKxt6LK4DSxPZuwJzE9s3ArUKIjUAOdt2HGHA5MFMIsRZYg52eAbaj4frE9jLg4sT2sYl21nOk4uRJQXqN+yTFsCDP7eCuXm3IdGrUxAzmbNqHkVg4tiuup+rXB/VIUm0j2YZLZVyvZmQ7NapiBq9vrDjmgr5xI0ZNtBxTGqhCI9OVh0NLa9WnSSUel7hcAuy6T0iPwHLb9mhWfUPNiIQzQvgEwgdIkLUSkXNSRxumOUGwpKQyaocCOxWVHJcP5V+ssHwTUdNgzaGveGHw5dTXmP9obxktPEcXjRkzLXJcziP6/Fy344g+vKwiipRwf7ebyDAlqmmSM/AGxNDbUH0/XMWM/0ZipkVQj5DpdDT5zG+dkc1LZ46iJhZlzpZ1ZDntyV5Qr8bvcBGKx3juzKEIFBRhF7e+sl0PrurQk3y3l7/v3c4Dfc7Foag8PfDHWN8wdqi3+6AewaEonOL1s7+uJmW//XUGmc4MumW34IYOg9AMHz+7aAkVFStAGFjSoNOYd9H3rCQmY0RDwR+8issPFWlEKd+9iBadRjNk9GtIoP/gh1D9p2FIiRGtQjXrCAsL1eFEOE8hbsVxKA4sS0s6IurZr8fwair39uhMjsNJZTzG7M3bKausoX1WNnd07wxE+c2QIRyK1tLMnUlVLMTU3tfhUBTAJG6qBPU9dM3J5Noz2pHlcFIdj9HcIwibZpN22SYzj8f6X8icLStQ0IhbEo/qbHLfTKcj5b1H1VCERpd2P8WpOnltwCPEpIkqJbFoNe07/xxdUfFF9KSTRnPlJR0RyXuvM8h0ZDZqO0SmIwtEPOmISH4WrsRAIrEdPqYZQ0qLSLSasBnBxMKpushw5R61ozqNjZTyU8DR6H3HRq9bJ14ewnYo1G+f1eh1CdC4eOV9ie2PAilSQIl0CkNK+T9NXMcaYGgT23cC533D9sZpHZObur8fMmlnxEmKSxXc2r0dsxYbHKizaOFTGTe4Ha5EgUpbTcOd0iEHvO4UNQ23CuO6t+Ddz+NUheJk+wXjRrRItnE0xI0YX4a289yKcZTrQfK8AW7rP4tT/e3SDok0KRgx8PpAhBL25bEjJaKqxPFNzohqaT9aHCC8tu1aNRIlvbCb5jvGkpLtNQe5Z/nbBPVqAt4snii6nHaZzY/LIeHVHAxq0YnbFqxNCX/3akf3mHYpoFhuXl4RS/b5k4e2xW9qvL8wmuzD7x7Rgje2HUJVwGtZbH/7RjoOmokWaIXwn1RpqP8VOFWFgNeNlLLJZ351VOeWBSsShSb74xD2RGlYQUckCm9uL+OKdr15uKSEoK4niwI+t34R9/Q8k0EtOnL3wtKkTb4wvFeTYwcrsZAR8LoxpcWuUC0FPi1lYlbg05DS4N5O5zPvc8EHoSjZfsFVIwcQCs1n7nsXk+ELcP6QWaxY/hj79i3A5wsw4qyn0uHq3zOKw0tOq0GsW/Y47Xv+AsvpoULzM2nZa8mUgmm9L+f9kklURw9xfe+pLNn7AX1PH4NuCAq8zhSHxNBTsjHCDpZ8YVEVkmT7ndw7oiuv79jK7lA1LjXGqV4v20Nf8dddy7ih48U8sHx1I5vsS3NPBkMD+VzZrgNPLrE4UCdp4XPywDAHKrVN2uXOGp1n1nzJ5MLhHIqEiFpxDEttct+aWDzlfdg02B2qYuyKFwl4cniw9xU8u/ElymOVPNTzbp7d/DvKo5U80Wcip50+jH17FyDMMAU+zxF2XxNvfC4/NfFqwCDgyUlxSAQ8OVTW7KRr31vZUfZHNM1NTc0evo4e4qU1DybH0WOLnuLUzPZph0Sak4K0FZ+kSKklBiX2AOFAnWTWYgMp7YGtUxHMGNiVgNfWbq4f+DobFcjRLDXhiLDbqApJ3v08jmYdfcXrmmh50hEBUK4HeW7FOGqi5d/KfaY5eYjHJaoqIGGzuO26TVEt4XRoAqtG2lERQiB8Dc6INGm+ayqjdUlHBNgrzfcsf5vK6L/Qov0GYqZg4tIjw99j5tE5NuKmxrQFsZQ+PxxR+dMn0ZQ+/P3P49zTqznZqoUSi9DurBloOQXpSu0/UHJcDmYO6oZC08/8evsJ6mGmr1xHptNLwJvF2G7nMGHFx4xu1SXpiLD30/n1ypVc37k/fofvCJt8e+s+HhnU7Yixwx827Um+DsXDzNuzkYcHN6fAZ4857JoR2aimwrzPRYpN/vETg+bN7IXC2rogHy4aR9sOFwL26nA6XP37x7SirPjsPk7veAF18SoOhsuZtObtlJSCKavfZmSHGynXg8xe/SA/an8zU4u3MHvDJib2b0mB115wKvA6uatHK/748eF9kcVd3Tsxe+Mqfl1SzFfhKk7x5HBHlx8zYdnSw2yyhPJIDWN7npF0RIBt579eECfP7eeB/h1T7HJivzOYu2lPMmUjZoKCINvpYHJh+yNs+IOdweT7yYUdKfC4eHXLB8n7nbr6Ta5rfxXB8EEeWvsk17X/CcHwQe5ZNYPOhePw+QIoSoyJA7JS7P7hwc2Zt2djom27ZsR7e+fxxrY/8mDvK1JUPH7d81KWlj3PX1dOpXfRPUjLpDy0L+mIAHsc/czyu6iNpn8TJypSyl31xS3T/GvSkREnIJZlENYPYVkGiqLh8eYfs3593CLZWddzoE4ST6RY6KbF0mA5zw/rhYVEQfDR7v2MbNWC3MT+hiWTD456qkISwzr6yZ4pDTrn9+fsDj9HCHtV5NOtv8OU5r8+OM1/FYZhS3uKhCiSdAnUOEQcDYUqD8eqkigJ8QyRqC8hj28umCbNMRGzzKQjop6gXk3MOr6+7WhS576JiBHFlNoRfb5XE0324SoS06zBoXnR8pojvN7vo1J7mu8ARQiy3eBSnByoi6d8dqBOUuD18Zszi1CEwK2quBQHrwy+DoCLWp5BK39OSgFLsCd/rf05SJQjbPIPW/fx046n8+LwXhhSogqBKiTXdG7JNZ1PJxSPkeX0cU+PgUhiPDm8GapQMaVJyKgm35VHVSj1OqtCEsvS+PFFn6Eh2bXjz2RmtWHkua8SjVVTtv53mGZq2H+a7xbLMjm9wyU48vuAlOQKQZ5racoqfjBcideZTduc7lzW+TYcqo8HCntRE4vz8Z7djO1TQKbDRYHXTSRiNdkXhWIxSiu/BiDT4SdDy8SQMKVfETWxGIuCXzIkcAqZTifN3V6kJZoc2yqo+DTBM0O7o6CwraaOl0p3UFZhpwoF9QjNPVmEzRCPrfuYWzoP59lh3UEKFEVQGa1mTJdTuKNnOxRFYMo4MTMKAh4vHEOmw0tNXE+mzQXDB8l0ZCRfW4rCeaPmUCtVDtXV8tSIZlgSDoareWvXZ4ztNpCx3XqDjOKQIe7regOV+gGEFeKVgTdRFf6aaKyKXbv+TGHnm3E5c4kKHw4ZR3V4ko6Iesr1IIaV/k2kOTlIOyNOMCzLoLJyKws+H9dQsXjELHJyOhyTQ0ITtk5z4067hU+gJcabblWhZ7Nsbl3QUBF7cuEZuNWGYBlNEWT7Uwez2X6BdgyDVpfmY1Dbq7ltxUMEwwcJeJrzeN9JuLS0/GKaBixLYhqJApb1URAuUE07MkLWNH2crJYIv22Pwp2IjKhLR0ak+e5xKioBb1aKQyLgzcJ5lOoXh3M0qXNNETGi7KoNUxmWtPC5Uvp83ZBN9uFCMVEkODNbHNe1pjmxUIWgIlpDC5/3iGf+jppqnl63jsn9evLU2jIqIlEm9uvJW1t38IsuHYkYsSYVNeIyhkvxNmmThpT86otPubNHL55et4agrtMtJ5ebu/ZOFiisV+j67YYyvggeIOD1MLFfVyqMENl+9xE2uTNUxS3L3ifg9fNY0cUIInzy8Y34fAEGDZ6Kqri+ny8zDQCaIwO1zYXcuOhdgnptopjpj3l2418prdoN2Cv5lhXj6u73UWtmcsuCZQT1cOJ/3ZOXSjdREYny7NABuB2OJvuigxG7SNSwwOloeNkTCjN95dpkOzMG9uW3G0v5IvgVAa+X54eMbHJsa0qT8UtXE9TDPDm4P8+s2X6E3X6ph8hxaeS5/LywYT63dDmL6avnJ+/v0f7n8XTZhyzYv4WAN4uZhZcyruslTCiZk0xNmVn4c7pldaI8VklNvDbxPTTHkgZR06DSdDN91XKCeoiA18/kPgOojoepCu1ANWv4eM0TVOlBrhw064jXPnc+/XtMZsrqpclrerzoPDyo5HkDKQ6JPG8ATWmocZEmzQ+ZdJrGCUZYP5R0RECiYvHn4wjrh46pHYcaZ8pwJy0SoestfIIpw504VHtFwrAk04s3HVZ5eFNK1IOhxLjwLIXsxGQv2y+48CwFQzl6b2zYMri35OGkJFIwfJB7Sx4mbBn/4sg0/00YiYUyOzLCLt6Ew07TiGh2UUrZxAqxVSuTtSIShdmRaWdEmu8BLwYzeo0k4M0CbEfEjF4j8XJ8fZtHlTwyKDV17pFBXfH8ixo9VVGTCUtLeG1jGfcNUVL6fI/b4OKz1JQ+/KqRGh7NwOXJO67rTHPikePyEfB5GHfY///uwYI5mzcmUjTWck2n9gT1MDNWrmVU65ZMWFqCz+FiUt++KSoGMwcO5nfb5rLi4KImbLIbb23bTFDXmbtlE5P6FhLwermmU5cjlBImLCljVOvTE+/DzFhZRobXwYVncdi4QvDC5uWJ/ULct3wBMc1eda6rC7Jk8YNY6VXg75UaS3Lvio8J6vaEO6jXMm3VfG7seD5AsmaEA5PqWJypxVsI6uHEvraNXd+5AxP79aAqGuOp9Zu5YETqePKnI528tm0lAa+fO7r3T9pp43YmLi1hdKs2ifc6T69fwUOHjW0fGObg2fUNx83esIXJhZ0OS9nowOyNq5iwfAG3dz2HG84YmnRE1N/f+BUfMbplj8T7au4v/gvVsXBKasr9xb/jxo7X8lDPu3lj21sEPM2Z1uMO/lz6JDpO7l++gKAeSrQRYvqqZYztdjbNPTms2fkeFxU+SLY3wOJNv+Pi/lNTXg/sekfSEVF/Tfcu/wintyU395pKntdW+8jzBrit93Q8x5AynSbNiUw6MuIEw7IM2rT/MQUdLsDEQkVh/9b3seSxDXB102Rz1UGeOPdUTEugKpIVB77E58ojl6MLCY5YFm/v3cZ1ozvjEApxafHGlo38PKP9UV+HIY2kIyJ5nvBBjGO8nzQnN0bctjtVwxZbcgKKbbdRDYQBMgyiUUCNNCQyZEt6AghVgBOknnZGpPnuMY0we4qn81iPX6K5cjCilewonk7rYY8C2cfcXq0RwaEYyfB3TQjqjFpqDY0svjmSzO7LwwT1MCWH9vLkuW0xLIGqQCge4f927mHE0AI6ZmUghIUZ3k487sftPu3fuPs0JxKKEJjS4rnS1dxU1Jm2mVnsqKnmhbKNlFVWAfbErl4toP51UA+jCAW/pvLU4CHUxeNku1y4FMHQgsFkOrLIdqbapCokfoeDv547CguJU1F5YchIQOWpIfmEzSgHwhHmbtpDWUUNmc6GQtX2ZFHw1pfLGDN6EJrQ0BR4Z28Z13bsTqbTlVD9WE9MKoy47DM0RSFDUbDiVYRq9qEoKk53Dprm/g980/892P1Kbcq2oF5LK39z/nLWfXhVN8LSMaWfiqgkqO+ja04213TqRJbTRXUsSrtMHxJJ2JQsCB4i0+ng+gvaoaEiFInQ4kzuM4g9dTVIKXFratKh0HDOcIoNfRH8int6RnniXBf79QjVsQhSifNF8EByn7LKKl5Yv4EXhvclqIeoiUV5ccNySiu/pltOM5yKRit/Myb1OpuXNiyltOpA8v6ynJ5G567mFF8ec868B5/mBRQUIXApKqaMMr3XeKrC+3hnwzPsqFzPZV0fSDoiGtoIoaLic2Rwbs87EYrKNUOfJxarxYqHGTPiNWrqvgLLJMvflqC+7Ijv3ECQ627BhIEvYUoDq/YAlZ8/jTz3EaSVnU6xS/ODJ+2MOMFQHX7crYdx47LxKWkNqnZsVc69qkqn7FO45+NoouKwYMrwU/CqthNAE3xDSHBDGy5F4fxW7bjjiyD76wy7AFVRO1zK0QfUaEIj4Gme4pAIeJqjibTppWkgnoiMUDUBYct2RtBQwBLslAy8DQYqa+tlPRvaEe50zYg03w+q4iASPkTxZ7clt/l8AdTjDJ3N0NyE4jq/XDgvGeI7s2g4+a5/Pumy0zs89M3PZ0hBG+5u1OePG+zgsvat+O2GbdzSow0uFZZ+cQ8jz3vtuK4xzYmJlBaagIpolPuXLeXRgf14Zl1ZysQu4PUk1QLqXwe8HgzL4ufzPyDg9TOl7yA04SZkRHlq/QrynD5u63oO01a9nwwbf2PYTxgUCHDLwvnkudzc1nUwJvMI1wAAIABJREFUsxYZHKiL29EYgxx8sHMXN3dry1tb91ITi6Vcg8RiVMu+3PHFgeS44uHBHZm9uSQZiv9Av0IOReq4aeFfCHgzmFl0Hq3deXz8hyF4/AH6n/04/uw2aYfEd4hDUQh4M1IcEgFvBltrv+LJ0j8zq/A6Vq1/isJOV+HzdGJooAVXtD+DR5ZXsL+uhgKfxowhGYStajShMTSQzwWt2nDPP+IcqIsl+ieVLI+TdYcO0sqfRcQwCXg9TdhtYxvyYiFBRJi6cjlBPcyjA/sdcVxFNErUjDG1pCFSoVtOM27t1o9ffTE/qdIxpd+ZPFe6kNKqAwS8GVTHGp87i+poBEs6mLhscSNlj/64VXh9y0KubtcdqE+bUAh4/SkOiYDXj4LB2/8YQ21dkAxfgLP7P8i6Vc8TCR/inPNe5bOlU6itCzJi6PNNfuf7ajbxVul0bu3xIJEvnkffX4ozIwD7K5F1GhQ0+69xSAghzgOeAVTgtYSsZuPPXcAcoC9QDlwppdz1fV9nmmMjnaZxglEjo02mNdTI6DG1EzcdTJufWll92vwYcdMeKHtU8Q0hwY0me1Ll4eXlSYmi/XUGDy8vR8qjDw3zCpXH+04i4GlunyfhXPGKdHhZmgbqIyM0FUQEcNl2qCiCaGJud7hKRv37ehUNAOESWOnIiDTfAy6pMnzgVHw+O3TW5wswfOBUXMfQPzYmbFncv3x+Sojv/cvnE7aaLt5aj62M1JdrOnVm6mF9/qzFcSrDcEevjmjCIkdRGTZiFm4trX17MhENV2JEvmTGgN4EvB7mbt7G5H49CXjtVV5b1rMnczdvS+bzf7BrDzMG9mXulnWAbW/TSpbwlV7LV3oNQb2aazsOYtqqz1LCxiOmyfhlSwjqOtd27MmsRTLF5p5cYjG69enMWLmJO3q154NdexuuobAbFZEoDy+rShlXTFp8kNGtOiTOofPrlcXETCt5zvuXf0SlZTtSwqEgKz69l1haXeM7xUmMmf1/RMBrp8sEvBlM7j2M3239O8FwJeOK36Bz20uJWS5+U7qS27p3SzgiGv6vExcdIGYqNPe4ub1HJx5bZB7WP5kcqDO5vF1X3ttVmrTTxnY7Y2Bf5u3emXjvZeaAwby9fQ1ho5ZHBvb9Znsv7IammMwsGkbAay/mXd+5F79eWZyi0jFtZTHXduqXqBlxLvP2rEu0kcWU3hcQtSTTVq48TNljBVUxk9Ete/HQ6n8wqtPt3Fr4GPN3vMGDffokz2fXPxlGScl0ahOp17V1QT5dMZXuPW9k4OAH2bLh/xh15hNk+AKUlb3E9N5DUr7zB3sP5JMtL1GuB3l+3VQyC3+OMyNAuxEPIz9aRXz2XyD037ECI4RQgeeB84EuwFVCiC6H7XY9UCmlbA88Bcz8fq8yzfGQXp4+wTCkSZ4zh3u63EKmM5OaWA1vbPsjxjGqTxiyaTUNI7Gp1ohwQD+QEn65uWo3fkcLsrA79JgF/Zp5uO7MXFQhMKXkjU0VSUWOo7oOQ6eufAOvDnwCU1qoQuHL4CKM5n2P6X7SnNw0REYAYYlsFBkRSfRSh8t7NumMcKdrRqT5nohF8G5Zw/DzXkmm1HmLP4Tepx5Xc4ZlNRnia/wLZ4RuGoSjMQp8mTx9toYhJf9bFufDHfbA36NpCAl5DgeGUUWWrw2aO72ifDJhmTEiZgTp0Bnb8wwynU4safFQ/57kuT1gV+Hh3t7dcKkKEcPgrl7deG3jKt7bsy3ZTlAP4VBV8j05vDzkGgKeTCb1OgdNUamJh5mzeSWmlMmJWZbT3eQ4I8vhJKhHCBsGo1oXcEfPLmhCAiam5WZ/XWpF4n7NPPTIzOO9sy/FkBavb1vDKb5M/nT21fxhyyre27sJ05IMuvIdVBQObvkQeZyqNWmODtOM4JUhHu1XRIarAAuTA+GK5OfBcCW5mW2xTBjdKguBknREAHTNdXFr93xOcztRTIkmJLnu1MKTB+okHlVDSuie3xxDGkhMnkmov2yrruLP27cwulVrrurQkZpYjAyngzUV+7m0bTfyXU5eGDYQU0pcisLzQ4uwAFUoVESDqMLH4p2v8JtBN6EqXuJWg+0m70PXaZ+Zx0tDLsatqtzd/WzGdjsLATxQ8i63dxnZ5DEeVcWjegnq1RT42+AUET7ePoet5auZ2ONXeJ256LEK8p0Gf/9yfsrxtXVB/Bmnsmfnp7TpdDFCcXDJOa+hCZXq6t080aMnbv+pfFm7lXkbprOjaj1gK2i48trTsWgG8m9rYXfQ/mWbxzAo/x6RhjGQWv0JaZoBoapBMrz3CE1b+m802R/YJqXcASCE+BNwMbCh0T4XAw8lXr8NPCeEELKpomNpThjSzogTDJfi5vbONzN19ZvJ6r0P9r4Zl3Jsg0dNyG9Q07Dfu1QNvzOHXy1YkqxaPLmwGy61wSR8GlzTPo8/fGBrQ2f7BdeMzMOrHf0gwKH58Of14qbFLyTv5/HCa3Gk1TTSNCIeq68ZIRBhkImspMZpGkdERiScE0ojUxJukXZGpPlesFxeDvYcxG+W3ES5HiTPG+COfo9zitN7XCGH3xTiq/2TtDjDiJGlORCql9nvRpL99E9H2tVcVx2wCBsmqqLidnsAzze2leaHi6I6Ia5TIat4et2ulMnTk4PP5PHVJUeoZbw4dDgrD+1PaSfg9ZPlcHH74nfJc3q5tdtQHinZ2Egh4UycQkmqb1THIrTw+Y4YZ1THYwS8biqjOk+tX84zg89mf7iG5zd8zg2dzqHApyUnrhe0zuCa9nn89t2GccbPR/alNlbF+BWf82jRcLKcLlRFcN8nF5PnDXB74SxUh4803x2K4kBBgOLnliW/J6hXE/BmMbn3hbyw8T3KozWEopWoWgueWreEu7oPTv5fu+a6uLdHC/72WZyqUJhsv+DS4S7GFTqYVRxnY7k9eW7hE4RNA4nGnC1LuLbjEJ5Zu4mgrjNzwKCkUst7u3cBtt3e27sHt3YdSGWslv2RKFNX/5E8Vya3d76C6cUbGo1nz0BisWjPO2w8tJw7B73BV3q4SeWYrTUHeKr0Yx4tvITZWz5mwYFSHi/8BeXROqrjepPHhE2TmKUT8GZhYlBd9xV53gA7qtbz0opbADt1Y+KgV8nwBZKREQAZvgBGrI5mLQcxd+HtVOlBsr0Brhg0i6/2LmLjxrkMPGsWb2184kgFDUuDv9uOCACRk2kPlE4wpGEMlPsPvRt//Z18WVmDyMls7RhzybsU5F/0bzgkTgX2Nnq/Dyj6pn2klIYQohrIA45NBSDN98qJZ8H/5Ugpko4IsL3PU1e/iZTHlg/m0owm1TRcmj0AsKTK9OLSlKrF04tLsRqFGAtD5U+fRJNSTFUhyZ8+iSKMow9D1qXk3uI5Kfdzb/Ec9LSTMk0jGqtpEJENNSMExFSQAuRhzghZ3VRkhMBKXcRIk+Y7ISTD/GblvcnBYrke5Dcr7yUkw//iyKbxKCozi4anhPjOLBqO559IhZbHKjHiDv7YRD/9s64Oxg12EPALstUTc+UszbeDy5NDM98pBJxuHujXM0UZ4xSvl0cHDErZ9siAQaw4uO0Ie3ukaDjPli4mqNdybad+TC9ef5hCQikWJNubs2Ut44aIVAWPQQrzdu1lcmEnnKrCo0XDmbtlCdNWv8+1HQby2qZ/MHFAFgU+28s8pnNuk+OMHCWDoB5i/PL5/KRdLypDdgRHuR7k2eJx6FZqAe403y4OxYHmas79xe8k5YuDejXTV3/IjR3PZWqvS4lbJvcts1PL5mxZxYSibAp8GmM65yYcEQ3/07/MjxKJwJgedt5lfc2ITJfkN2vLuOGM4czZsogH+tnKLnO3bOKBfv1T7HZS377M3riCaas+JdPhY+rqPxIMV/Lz9uclHRH2dYaZXryJ6ohuK0/0n4VTUclxOnigX7+UNqf068ecLYsI6tWML36HsV0vIuDJ4XdbP2VK71HM27OGKYcd80C//mQ7VebtWcPk3iN5esMrxKTkhl4Ppihe3NHvMcziNzmv8EEyEul8Gb4A5xRNRXX5eXPJvVQlnh9VepA3l4yjfZcr8fkCbFn3uyMUNO7oOgP3X5ah/WgQYDsiHNdfCv4T0DFXqz9R74gAkJU1xF9/J59a/Yn/8JWlOQFJR0acYMSlkZy41xMMVxI/RvWJkGHw1vbNPHzOGahCxZQmv99cxnVd2pENxC2LXJeLsT16JCsfz928mXijkGDTStWEBvuhYh6DYyRuWRTmdeR/2p/dcB3bPsWQ6cFxmgaSahqqhAjIRM0IVQEEmK5vSNNwgnA0rhmRVtNI8/1gSCNl1QrsidLxKgXVGmEsGeXlMy/AsCSaIqiIllNrKMnUuXoikQhVpoEm/Fjf0E87VEHLTIlPAXc6LeOkRgiFjKyWOCPV5ArBi0OHYkpQhQSpoxs6LwwdjiUlqhBoiiCjWVs0RWH2sPOJmCaqEKhCIdNp20qmI7UgINiTPENKHPIgLw4dgSktnIrkiXOdlEdi+BwqYTPCqDbNeGH9BqYV9WZbtb2Q+fSAq3EqGg/0uZjPvyzjubP6YkmBw1Katl9F452RV/Phno1YUpLj68Cvz5mPKgSVdVuxkHwd2osqNDK0HBz/otBrmmMjauioaiZPD7gCt+pAIqiNRQiGq2mX2YK6yD68rlbc1T0nqYLy4d5Sbu/blg5+F/NCqc6iqpDEqQny/YLZFztRhORgpJYn19iKL3f07MIjhZfhUBReGTYC09KwpOCloSOxiBE1DX6/pSSpfCGEIM+VyeSe/8Mp3mYE9a0p5wvqYTJcAe4d/CfcqkmtafBY6Zvc2vlCnj3zTAQK5ZEQMSvK7d3OxrQsLCQKGq8MugMhLJyKxrgeI0EKXho6grhloCkqYGJKlVu7jKQmVsX17a8m25WHYRncPeh3uBULw4qhKRpqj9GompvLzn4NC4mUFoqiYUgj6Yg4Nbc7hZ3H4HJmExUK546aQ1RGMaXFhIGvIPQYorIWz8Ya4j8uIqxJ1GnX4BJOcJ+YahrSNAP1jojktsoapGkF/o2r/RI4vdH70xLbmtpnnxBCA7KwC1mmOYFJOyNOMBxCI+DJSXFIBDw5OI5RfcKhKJQcOsT7e/7e0I7Xw42KXSTKrSrc2q1XokBlTUIpoxfuRuFeqmKHTDYeKGT7bWmvo8WnuflJmxHctfSDZDXuR/ufh1dNDxzSNJCsGSEFwiQZGSEECBLOiCbSNBRf6mNNuAXEQMZlipMiTZpvG01o5HkDR4bRHqdSkF9zEYo5+dVnW9ivxyjwOnlkcFv8WqodRyIRdoVDfLJ3FyNP60a2YjXZTytCkuN1Hn6aNCcpQig43Vnsqd3N3cVTCYYPMqz5QG7qeAMTVn5EUK9mWEFHbug0PFkotT76Zvam5SzYvyv5fAaoiYebVDbYHaok15VNhohz05JnCYYreX7AHTy6cvuR+9bW0tIf4Iq2zbl7cYMawSMDBqIqMebt+YBLT/1Jk/YbMy1unx9kxpBOeFSLMQs+SLnmrRWreKVkfDJt4xTapB0S3yIOzc/BqM5rmxZzZdv+TF89PzmGm1l0HtmuZlTHJM+s3dIojac7b24vpUPn7Kb/p4YEYXHnoi+OsJVt1RU8tX45j/QfStRwM33ZoaTayoSibP5vxyquaHcGO2srKY/pOITK3V2vYsqKFdzZo3eTtrqtuoqn163m0QEDCVuHKI/W8PzG97il84U4hQNTCqavXkCey8utXQcyfdWnyXt8qO9wsh0+7lw2L7nt132GkKFGqTBymb78QLKfnjG4DU+tW8iC/Tvt/foO42+lU6iOHeLm3tPYv/19OrY6lw8X3ZtU1LjorJfI9gbwufMp7DmWyet+k1TQm9V3Ih9vepE1+xfYERE9HqX5vhqqeufzp8U3JdM6Li+cSk4sH292S4Q4sQLdhaoGRU5m68YOCZGTiVCV4D857F9RDHQQQrTBdjr8FLj6sH3eBX4OLAUuBz5L14s48TmxrDcNQig82PsqAh672rldM+KqY+5oFGiymnZ9K4alNamUYVgNA2mpxfnpSBfZfnswXJ+LLLX4UV9H1JKMX/FRSjXu8Ss+Imql+4Y0DcTr1TTqF5WTzgiBqoDhbFpNQxxWekQkxqLp6Ig03zUuVH51WBjtr3pNxcXxqWlETJUJi3ewX7dl7PbrMSYs3kHETG2vyjS4f/l8LmzVhUmLDvD6xooj+umrRrrwOI6+n05zclAZrU46IgAuPP087lvxl2SY/eiWPZtUbBndqkvivf18vqZjb+ZsXsnkwu4pY4iJ/boxe+Nyxq/4BAuFxwqvI+DJQRFWE/v2YPbGUr4K69yfUN+wz6EzYdlSTKlw/umj+MPO1U2OM97YVJFUZIia2hHX3Dp3INCQtlFrpNU1vk3qpOC+FX9hdMseSUcENKibSHyMX1pyWBrPesZ2789f9pRy8Vki5X966XAXTnec/925locH9DnMVrozZ8s6gnqIqqhk+rLKlLHpI8urGN2yM9NXLeX6zv2Z3PssgnodU1asIKjrzN28kYn9ehxhf3M3bySo64xftpSYKXmg1+Xc2PFcpq/+kKhlJpViru3Yh2kJR0T9PT5UMp+vwqGUbQ+sWoTDcUrSEQF2Pz1x8U5Gt+zWsF/JAkZ2vJlyPchLq6fQof3FSUcE2AUsl6x6kisHP8HAbr9MOiLAVtAbVzKDAa0uBhLpf+vGow9oy5+W3pOS1vF28YPUhPYRD5+Atp/hvccx5pJDIicTSKSUjLnkEBnee463SSmlAdwGfAxsBN6UUpYJIaYJIS5K7DYbyBNCbAPuBsb/W/eR5nshHRlxghG1Yny4t4TZfe/ChZMoMV7ePY8xHc86xnZM1n59gOeHDsGS9irZR7u30cLbEgDDkuS7FB7slk+eJig3JM9vrcFs5CSoM2DOjj2MGXUamlDsKtdb9nBtlwBHKwxnWJI8p5e7ug0n0+mmJhZhzpYVGGlnRJpGGHFAgJpwSshGUQ2qAnGnSNaIqMeqliiZh0VGJNI7ZAQ7OC9Nmu8Iy4xSvWke9xc9i1RUhGWyd+1cCnpdf1ztGZYk360xteup5DlUyuMmz24/kNJXxiMRnIrCi0MuwJJ29fqdrhgxw+TmUW47pckhQY1DvBLcgW/rdtP8AIhaseSkBiDTkZV0RABkOb1HKLYU5gfo6zudT4ffDKokokUxpGRm0flIIXlx2AC+0kPUxMO8WLYwGSZvWBYtXH5eHXwrhqXw+qZVvDBsAFXRKG7NQV3c4JpOXch1ushzubmzRyGZDhc18ShzN6/HTCxWzt1WSnUsyi9G9cOlOoiZFm9sKuf9XfYkcH+dgQosHHEliimxVMHHlXsxpeTuIXPRY5V8svVVzGNUHEvzzzEsaRetdGfybPfzCDh9WKpCtUMQjIQQ0GQaT9iIcVm7MxCYjLnIRdwERUBVPIQRMxmV35HmmpdXhg8ialns12uxpMVt3QqpiUXJdHrYX5dqo/vrDDIdmeS5PLT1tyBmSRyKIM/lJqjrlFZW8FLpWsb27Ez7rGy2VVfxUulaSisrEtelU+ApoCZeTsCTS1CvxqGoSUdDptOVfN1wL7Xkujw8VjQqabcLv9qBEK6kIyJ5fXqM1hl5vDTkJ8kxrtdpj5KzXPmoqptzRzxHnX6AkrUvAtC63ZVIR4A8Z4A8Z07K7zYYPojXkZ18X64HMbGSjoh6qvQgqjsLy0y9nhMBoWlLKci/yHnb1U9I0woIVfk21DSQUn4AfHDYtimNXkeAn/w750jz/ZN2RpxgeBQnY5qNYuP/KkSq47izFMZcMgqPcmw1FryqxqCCttz+2f5kqNvDg9viVevPI5jZIQP366uRFWHycj3MHNMLs1HumUMVFB+s5b1da5PbCrxOru9+ylFfh0tVubXrcKYXbyWoRwh43UwuHI5LPb7VwzQnJ0ZcoqkgYgn7axRdrqoQc0qsAyClRIiEw6FaIgKHRQwljpPhtLMrzXeLqro4tcNoFv79durqgvh8AQYPnoqquo6rPa8qeLxdAPfra5N98uNjemKptr3HIxGqZYxDYZUJi7cwobANZ57q5dbW+ez4c5yt1XHcWYKel7uwsqStsJDmvwbTjCMsk4CneXJiUxO3FRDqHRLVMT1FseWilh249dQiVs2NEamWuLME3S9z8aev13DO6a35ZN9aLmvTl6mrPk6ZrAW8GcRkhJuXjOfXPe/kVG8bRrU6AwHohmTi0tLk8/6JId25o/sApi0tZ39dKJESWgRILCQBr59392zl3T1beWfk1dw+P5giETn0VC+5VRGMl1dhVIQRuR7Ov6k3Yc3BJUtmE/DkMK33eBzp1M9vFU1RGF7QkbZ1bqxX1iS/e21MD/74ZSW/6OZhaKAFXwQPJI8JeD1UxGpwqpnsq6sFBI+tWUG+y8OD7Uew828OItWSfVkxelzmoMJdi0DlkZJ1yVSPZ4YMSlFbASjw2TUWxnYbxm2NxrSTiop4vmw5pZUVlFZW8PS61Tw9+EyeXrf6CPWLfXXljF3xAs/0v4mAN4vqWJiAN4OgXktNLJp8Xc+wgtZIFJ5aV5JMD3q0aDgHwiEKvM4Uh0SB18lXdVHuXlSWHONifUXbnO5c3uV2Hl18Y4PiUuEsakwvE0uKCeqbCHj9PND3Tp7d9DSl1Zvt6/U0R49XJdvP8wZQhUa2N5DikMj2BnC4MlG0E9P2haYtJSdzUDphNs2/Ip2mcYLhinvY/o5KJLEKHKmWbH9HxRU/Nkm2mKUyafHBlFC3SYsPErNsJ0BG3MD9+hpkhe3ZlhVh3K+vISPe8ABQgMlFrSlI5B0XeJ1MLmp9TEZjSSXpiAAI6hGmF2/FkmnTS9NAPA6qBkQTToRGblJFQEwTYIBMjC9kXCLDHFkzot4ZkS60nuY7xpQmixc/SF0i9LauLsjixQ8e9wqtPyqTjgio75PX4k/8JiqsOuKWkwmLt7Nfj6EKyX3dm7Hj3XjK82Lt21GccQcOz9HGr6U5GQhFDjF/zeM83ncCAU9zAN7b+xEzCy8h4LXDxObtWZuioHFzu36s+3MsxX7W/znGlad1Y/zy+VzYqjdPl/6DmUXnEfBmACTqSoxk7vY/EQwf5IG1TxO3TKaVLEEimF68JeV5v78unnBENE4JraA8EqcmGmFK38HJ61kY3M6MIS2SShsFPo0HumVjvLwq5XdhvrIaV2JRPhiuZMrqt4mmxxTfKk6h8FDHc7FeSR0nel9fx9Wn5nL/ou3c2qNLSmrEowP74lIEz5UuJdvpJsfpZkrfQdzRoYidfyPFztb9OU4+PqavXJeS6vHc+lIeHtw8xQYmFGXjUpQm7ej6zj0T5/fyQL9CTGnwyICBKeoXDxX249Ut8wB4dcvHCZWMdUzuPZyAN4M5W1Yxpc/ZKTZ+e/fBTDgspWn88vlYMs7E/qcdNi5uxeyynYn96se4Khd1upHZqx9MUVw6FAszqaQ4pd1flxRzY8df2OdO1IxYtvtvgO2IGFv0FJmufK4c/ATZibTAbG+AH/d7kDXFT6ejgtL84ElHRpxgSFMkO+x6ItUSaR2bb9GwSPEsg/3eTARYCEMmHzDJc1eEEUbDuaOm5MV1X3Jn79PJdGrUxAxeXPclDxW1OerriFtWcmBST1CPpKh2pEkTj0k0zS4+CYenaQiijsT2Ggk+kawfIQ5TtGpI00hHRqT5brGseNIRUU9dXRDLOj41DWF+Q59sSr6s+wqJAyySK3KKUNGjsunnhSlOuIJmab5dTMugIlJD3DJxKCpOodG9zYXkO/zM6j2ODFc+FhZ+1c8rg2/AsEARFi41xstDz8W0JK64RqQ61V4j1RKvcPBo/xF4VCfXdxpCrtPLc4MvxJLgVFTm7fuAd/d9QresTlzX/n+Q2DUdTAm5Lif39uhMjsNJZTxGrtvR5Fgk35WBopisOLCHuxqlcGyq2svzZ7fCtOwUPWfYIN7E70I1G+w+GK7EkBYH9QPEpYlDqOQ4snA4TswV4x8CYTOGiIK7ie8+z6GyX48RNqLc0es08t1ZZDrcuBSBT2azYP8uyqNhbukygHaZuTg0F4urU8eBkWqJJpWUVI+uudmMan06mW6LWcOaYUiJT9NQhIGCh3G9PGQ7NapiBq9vrKCsIkpLfxbvnHcBqpBICSGjjhYeLy8OHY6ZUI+Zt3cppVW7ASit2s1zG99lap+fUReP8tTAUdQZUSJmlJeGXIwAJA5MS3BX94HM2bKG0sqvAdtxoAjBc2VLGdunF5lONwGvj8lLyyhrVKgxqEfI93VHsbxHKC45tIbIpIb9Q7TyBHh3xGs4hYYPjWu638fV3cfhVF1kuHJRhEKmqxlXnfksKApYFtvWz2XfvgWY1n3/9v87TZr/JGlnxAmGogrcWakOCXeWQDlG6R6HQpOhblpifCpVgcj1pAx+Ra4HqTacR1ME5eE44xdvb2jD60Q7hmtxKRoBrzvFIRHwunEpadNL04CRiIwQ0cQGR8NnqgIR1f49WNUSNZBwSgDCe5gtJtM0vuMLTvNfj6Jo+HyBFIeEzxdAUY4vBc36hj7ZUgUXfX4Db575Cj4tMxkiXBOL41O0pp8X6Sy4kxrTMthWE2Rc8RsEw5UEPDk8Xngdn+59nws8LZCKi18uG09hbi+ubHUTkxY1Stcc0hwpyrm/+G/874BfNmk/X0V0QqrFbzet4Yr27fjtpi/4afsePFf2D8pjdUzuPZKLTt3PqNMuZPqqxdzVPZeA149LEdzXtRvvfWZSFZJk+51cOdLJmad6WfhlQ9h8gU9ja3WIZ9Zu5pFBXVkc3MHLm9YAEPD6yfd6uGvJPwh4/bxZNPobfxf1BDw5SCx+sfT+pCLBE30n0dZ3etohcZxoigqabPK7L4+bFHideDUHCw+s5oLTB3D70j8T1Kt5esBPCXgzKK08wId7tvCTtgOJhWJN2pkhrKQKRtfcbG7udgYzVq5yYx8GAAAgAElEQVRNpmzMGNiXp9atpiIS4aHuw1m8EKpCcbL9grtHtOCNbYfYVl3NM+vWMbFfD97ctpmrOrQnYtYyYaVduDXgzWJm4aV8pZfz7r4VAJRHa9hbd5A7l7+WvJ6AJ4cpvS5FkflMX747qZQxsf9AXtywlNLKrwl4/dTEo5RWfs19y/9OwOvnpTNHURFNrdkQ8LrRhKSy7ssjFJfiRiglVcre30+kdg+n5bbC48kD4LDa3FjSojx2iN+suDuZ8vHLng8Si1WhplPy0vzASS+dnGAYKpxxkQt3lv2gdWcJzrjIhXGMg0tFWEwqyk8JdZtUlI8i7IiEkNtCuakXItcOsRO5HpSbehFyN0QsuFXJI4PbpYSjPTK4HW71WFadJZMLOxHw2gMCO5+uE5BeuU7TQDwuUVUa0jQOc0ZEE76r+ogIq8r+q/gPT9NIREaka0ak+Y5xqV6GDZ+Fz2eHzfp8AYYNn4VLPXwYeXQYHoF6U++UPlm9qTdRj23LHs2DW7V4dIjdJ8/dGCQ/U/2G50Xa/k9mKiI1SUcE2JEB9xa/wYCWl+JwZnBvycMEwwe5tt11TFr0dWq65qKDVEQhqFejq3HaXayl2E+7izVq1TgzVq5jdKs2PFxSwuhWXZi26jOu7TiIoF7N9NWfcE27q5m+ajFBvZY5m0uY3GcgGGrSEQFQFZL83ycx7u7V7LCw+zzmbtpJUI8wYUkZ57fsCNiTsil9BzN7o12nKqiHWFi7v8nfhe62Q9MDnhxmFY7hybKXUxQJ7il5mMp4Q/HONMeGKgSm13nEd6+P6cH/flnBo0Pa8cyGt/if9mfx0Kp5ybokr236gil9ziLgzeB/OhQxadFBnttYTtuLHIfZmeAQdUzsZ6uwXNOpfdIRAXbKxsSlJYxu1YbrO/Tk/z6JpdjV+5/HubNnPnM3b04oedj2Om3lSqpi0eT1BPVq7i/+C9d2OBuw7WVan6vIdnhSVOse6HU5lnQeoZQxY8U+ru3YK1kzYt7ubfYxXj+PFA2jMlrD5MIzDhvjnoEVrSLLlctNvVMVl/KdHh7uW5hMTQp4/TzSt4jmvlzc7m9OrauNViYdEWCnfLy8dio9+t/zT49Lk+aHwH98eVoIcR7wDKACr0kpH21inyuAh7BnsGullIfryp40xE3BX1fGOPt8Jz6XoC4q+evKGJefc2yez6hl8fz6Tdzepw1ZTgfVsTjPr9/E1AGdAdDNGC8cXMptYwfjlioRYfLc7sVclzOQ3EQbISPOkuAenh/REUvaufsf7d7OyFYtyeboVhuilsUL6zcwtld7Mp1OamIxXli/galFvY/pftKc3NiREQ1pGo2dEYoCesJtmnRGVCYiI45wRth/02kaab5rZExHbF7MyHNfQUoLIRRi6z6EbqPBc+xSLpWGzkFXNV3vLkJNqAasj+8nL24PWk0pCRlxsp0OxvY+hUynA2l9O8+LND8s4paZdETUEwxX4nVmI1GSk3IVZ5MpEh7Vzm8LmxbTN+3ilxeexukOjYq4wdRNu/lVzwBBPUym00lQ18l0uAnqtWQ57UlpUK/GqTiTBf9Kqw7wYtlSZva5JDlhrKcqJBESbu/rpkNmDlurQ7y4fnMyrD2oR7CAt350CU5FY9KKBcmweICJKxfw9/OvxN3od/FB1Xr6Wm3521kTUAXEDZ0FB1OL9AfDB4mnc+mPm6gZQwKHfFG8v+pKwOnFUhUMh+CqTMhwmiw4UMpdXS9JUWwprfqK58r+wbODL0KRdorO/jqDX288wC8vyOV0h4N8v8pdJZ8ztX8RPofKM0P7oyCaVOfIdDpxW+4m7SoUi1NWWZWyb1DX8RwWKRDUq9GExjtnT0QRggkl0wG4u9tVtM1oxY7a3Ty/6RXGnnEX+/VUB9Z+PUb7zFzu6tGXt7evZXSrtlzVvjM18ShgEDElL6zfkRjjOqiJxXlh/Q4mdcth7/KZdB5wDxMGv4IlJTWhfSwrtqc4M7r9Coczlyxfc/wHv8STe+o/Ta2LW7EjUj7K9aCt5JROyUvzA+c/6owQQqjA88CPgH1AsRDiXSnlhkb7dAAmAIOllJVCiOb/mav9flAUCIUlv/tHNLkt2y9QjrGv0YSgIhpj/NIGJQw7dMyevKmKQobTQ4UTVAGmhAynB7XRiVQhCBkxolYMRQjiliRkxFDF0adpaEKQ506tLp/ndiWvI00asGtGeLwCEZJIge2aTKAqEFIAhaS8p1UpQTmyZgQaINIFLNN89wjVSd26d6he9GJym5YZILPnj4+rPVURLDywnexWflRNwZQWW8q/5kxfHn8b9ns04caQEgk8s9YuCvz+eUO/ledFmh8WbtXJM/1vIdPpx6e5iJgRKqMhWnjzMSXMHvgscSuCpogm0zULPBm8ffatOBWFQ5E4ty/b3PC510mOy8HLwweT6dQYGjgFKSUvFF1OQMvmmX7X8Nd9y3EqGk8NvACPplETi7IwuAuhSLL9ImXimO0XxKXJ/csW8NdzL+CZtZuPSNsUSC77fBrvnT2N8mjqhDTg9WMKySGHhXSAADyaAxU3phXHlDGkGU5REQG7EKBDpPOVjhdNURBouDVBpTPGjmgFC4O7OTPQihyXB4HKa4PuRBUO3jrrVkLxKF9Ha5mzZSHlsTocQkGIhnThsooodywNUuDTmDWsGeXRCKoQWHEHsbiB16kxLNCCBYepc9TEYkQsyPb7jrCr/2fvvKPkqI41/rvdPXlnM5JGKOccN2iVkY1ExtjGgE0y6RGNySDJiKAAGBA8kuEBzyQbbGNjRI7KQhlllJEQjCQ2707q6e77/ujZ3h3t6iHBYgTMd46OttOd293VdevWrfpqfzyWdm6ex8PYUIh8j58Bue1ZX/0FA3Lbc1Gf8Qg0XMKFEJJr+11NpV7Jn7c9x/k9T+e+jU8Qju2nJlndYqWMpIwze90CCtx+xkgV0HApFhEjhm5KKuM6Ny9e36QvXvxZ7Rh+7GwiMklcmrgUF59seYn9FesA2D//coKBEL/ofRvaP/+NuOpGpLQwYjUkrDiWtFA1D35vPkIouBR3s5SPAn8Il/Ljcjx/1QK2EMIDPAsMByqAM6SUnwohXMCTwDBsS/FZKeWs1DVXAxdjq5f/kVI+0KS9q4ArABN4XUqZIej4FvBdR0aUANuklDsAhBAvAqcCG5ucczHwiJSyCkBKub9ZKz8g+N1Jzpro4a/vJFI5l4KzJnrwu5OkzdC+ArmqYNbI/tyyeINTYmvWyP7kpvIs8xQvkzoM47qFK538vFllw8lTGiMe8lSNiZ26cu3C5ennqIcuNrmqwgX9erfQj4y1nEEjnMiIBDbvg0gnsDQtiQg0RkaYVRKRhVPmswFCCPBkIiMy+PahBvJo84v72f/ytRi1YbTsEG1+cT9q4OuFzOYpPiZ27M/vP/ob4WgN49r14qLeE3h52w6O7dSFyUuWEI7GGBtq6+j2jdWVnDUxv/l4oR3eeJHB9weWlFQk4N5Vu5xxeXLRQF7Z+RkX9Mnlqc3zqEjUc0W/Y7h//evcUvoTZi2tbVIOMZ8/LFtARSLOjNIypo3ozO0fNebIzxzVncfW7WB+uJyQ38v9o4ciEhr/+NCkut4gN6uAqyeeSrVezT1r5hGO1jGuXVcu6DOSF3ds4YyJvZ2Q+twswZkT3Ug1Tsjv563dO1u0SxbsXQVArV7D3aXjuSlVxSDkz+KRUceyP6Zzy5J0W+Xv27bxwrYthPx+7hlRxkMld3LVsj+kcUbkKYcfoZSBjRwlwK5YnJtTz31sqA2/7TeAyU3ew7SSwVQmkkz9aLWzb2rx8eS4FaoTBpIIU0oLmLG0Io2zZM6nm5k9cgyxeo1/vmdRXa+SmyW5auJQYDXzwvuc9/zUpvVUxuPcOGEUcz4gTa4e2rIBIPUNDOLR9Wu5oG9/Xv10C1f2P5Y3dn/MCZ2GceeKlYSjUafixiPrN1CRiDF12O9Y9OUH/HH4FG5YOYM/b/8zU0tvclI12vndTC49in9/9i9mjziFqgRpZeqnlfakbQBmjSzklsUbnf2Ti7tz77o3uLDPKN7+/E2e2/kPRyYBdu6ZRzAQ4oTSu3C9tQjX+Zci/X4SVbupSZTz9rJp1EXCBAMhThw7m4LcHgQ9eVxdOpsHl17jcEZcXTqboOfHk6JxKAvYwIVAlZSyhxDiTOBu4AzgdMAjpRwohPADG4UQfwWysOeZJdixuW8JIV6TUm4TQhyDPScdLKVM/NAXw79LCCm/O6NdCPFL4Dgp5UWp7XOAUinllU3OeQXYAozCtq5uk1K+9f+1W1RUJFesWPHtdfxbRGW9wRsLkwzr7cLnEcQSklWbk5ww2kV+1qE7AfZGovx9205O6toZRQgsKXlt5y5O79GVdgE/eyNRLpu3JC0sLuT38di4MtoF/E4bX3XOV/cjxmVzP262EvLY+CG0CxxeudIjCN9KWMf3WW6/KZ5/LEKog8rAnRJlm4Xxy8Y8jY17TPZUWJwcFqhtFbKv9lLzxxiyThL4tadZW3WPx3EP0Mi6sPmxHzkyctvKkNLCjFSBqYPqRg3kfe2Q2b3RGi5Z+LwT8nxPya94cM0nzB411nEIN2BsqC3XDBmA23Lx5qJvPl4c4Wh1uf0+y2xFPM5FHyxqNi5fPbgXs9ct5feDBgMWs9e/Rzhaw4Dc9pzX8xi6BtvweaSepzatYX1VZeo6P1OHF6ObcHQgiEtReODjrcwPlzttPzxyOHPnas1WpccfU8flS/8BwD2lJ/Lgx9sJR2Oc3Lkj5/fsg0uoKIrkrzvX8PPuPVFQMaWFX9NImHY0piYEays34dJcZLv81Caj9Mw6GlV1Y1oWqqIgpNKiHXL/6GLOfPct5z6eGDsOST0GEg1B7c65HN1lPP6s0Lf5Og6G772u3Rup57J5S53nfldZEQ+u2dDsPdwwdADXLlqetu+BMcV8Xh/lj6s3kO/xcE7v3uS4PcTMJN2yvXxS8yWFajZvvedtJldnnQj7kjXUJKPsi1Ywpl1fJFARjyCTGm7FRXUywsrKT/lFt8F8GY9TlYjz3OZNrK+qJOT38/tBg5i9bhl/GnMcl82fSzgabdI/+/iNSz8g5M/i8bHH4pFREggMLDyKB2n5MKRAERZCRACJtLxcNm9jM1v2gbH9+O+NL3PtgF9RHotSqdfz7Jb5rK/+gpA/hwfKfsHp8xrLdj5efBvEKkgaMY7K7YXf8kIgCyNWRXXFJt5YPYu6JqTIwUCIX058loCvAEta1CWqMCwdTXET9OShtG6KRqvKrTSSZdTV3SctMyQUNUwweJ3QXEu++sqDdE6IMuw54KTU9i0ADREOqX1vp85ZIoTQgL3AUcCZwK+B04AcYAkwAvgJ9jz0wtT1fwASUsp7hBB/A56QUr73dfucwaHh+2CtaEBPYDzQAZgvhBgopaxuepIQ4hLgEoBOnTr9p/vYarAswSe7LD7ZlUjbf9zIwyztKS1e2LqTF7buTNt/WvcuzvGW8vOMJs4pQ0ryPR6uHtzf4Xt47pNtaed8dT9ki6U9D6eNHzJ+KHL7TWEkQVVT1TRc6bKuCjAtUAICq8omWLWqJEpuy9+EcItMZMS3jIzc2hBCQcsqaJW2DMuiwB3gmgGTyHH5yfMECEdXoQilRT1sSgvDolXGix8Dfigyq5stj93Zbg/haD2F3iA5bg+3DTuFGj3Gs1sW88zWD7l9+M/xapJzevfhuS2fsL6yknA0iiIE1yyey2NjxwFqmiMCIKBqLebr+9XGKMpsl8/p047aOrZGqsh2uyn0ulldsY/TuvXCxGBr3Rc8s/Vd1lfv4vFRl9DWW8Dk1c+ntX1Kh1Iu7n0iANKyMA/CJdB0EhaORjGkZPlLJ6Wd177TmEN/sEcoviu5NaT9nPvn5XJOnx50DQa5enB/nvtkWxpPg1dLn0bY70qk+BtihKMxbv5oqXP8pUnjAIlXcbUoV5pwUejzkufx4NdUapP1GFJy8YJ/NevjKV0HcMm89xmQn89lAwbSxufHlBKXIijw+DClTHNE2P2Lku32pP6ux5SCGBqGZRKL7MXt8vH2a79Ju2bipP+hXuS1aMuCwrx96/ldv1O5aOGTBxyvQW0yzQrH9lOfqObd9y8G4NyTX0UE7cV2y9TRfPmMGnYdHk8OiUQNqzY+w/6KdZiWTixWgWnquFU32b62RzxPhDSSZXJv+NXks08UyqpKRF5+F9e5l7xKu9Ap38AhcTTwWZPtPUDpwc6RUhpCiBqgAPgHdpRDGLtYyTVSykohxHpghhCiAIgBJwANHr9ewBghxAwgDlwvpVxOBq2O79oZ8TnQscl2h9S+ptgDLJVSJoGdQogt2M6JNIGQUj4BPAG29/hb6/G3DOUgOZeKcni3pCmKUzKpASG/zynLqYmDHG8S9u5RFC4f2I/pyzc74WdTi/vhOYyEZE2IFkt7ZjgjbPxQ5PabwDQlltVAYGnnBTeFqoCUIHIE5iYLKSVWlUTr0LIcCncmTePbRkZuWx8eVePK/pOckOL7R40h5PfjUkSLetgtBIa0WmW8+DHghyKzbrXlsbtWTxDyZ5Ht8nLVolcJR+sI+YPMLJ5EwhT8buF8J1R9yvBi/rRhHRXxOLW6Tsjvp1ZPAEqz8TpiGuRmNY+M8Lsa04Bqk3aIfr7Hw6UD+jJzxZYmsjqC8niESxb8k5A/yNShP+PFne9Tq9dytK8NIV+eQ8Z5SodSTu/6U2c1O+T389jYCS3eryWtJtt+tAMmZ76sEOIHUOP2u5JbTdgRWKf36Jb2PicX9eVP6zexoaqakN9H3EgnSA35fYAk2+1u8b3trK1m9rqVPF52MrlZZjO5klhctWiOI7+zR5xEQBWE/EGHMNVuK4iUFmNDIc7v04+4afK7hfMcubmtuASJQcjvbxYZYcu6zUdiSYsHNrzKvH0b7MosRedRUDiQinKb2yEQCJE0YhiW1aIta0qDkC8PE5OQPyeNzDPkz8Gk8fmEfG1IJmxHTjAQQmlS4l7RvMSSktfW3Ed1NEyuP8TPiqex4ZO/gmXy5pvnEomECQRCHDNhNrl5PY5sh0Rd3X0NjggAWVVJ8tknCt2XXXsfefkjv4MelWDzPrQH8oAFQoj3pJSbhBB3A+8AEeDj1Hlgz5HzsSMoioG/CSG6ye8ypeAHiu9akpcDPYUQXYUQbuwwmlcPOOcV7KgIhBCF2J6qHf/JTv4nIbQkZ0x0k5uqEpCbJThjohuhJQ+rHU3A1KLBqYHBHgSmFg1GS/kAPCrMLBuednxm2XA8TcZuU+IYwGB7gacv34x5GJ+hpkimFvc6oOxRL7SMsZxBCkZKtFUN2/fcgjMCQAZtYkprnwQdRPAgDi23wIq1fCiDDI5UmFI4jgiApzdt4A9FJVgH0cPVukFMxJuNF2dOdOPXjIP+Tgbfb+R5PNwzsjht7J5cNJDXd2/l7hHH8PD6Rc6kLRyto1pPcseKFY5chaNRZqxczgV9+zNleDGv79rJrBEjeX33Vp7dsqbZeF2YpfKznyhpMnbyBEHAqxLyBwF4fddGZpYN48J+vZyJq/1bcaYv34KeMu3D0Tqmr57HNf1P48/b/krSSjJt6FlOicVze0zklo+WpPX179u2MOsAW2VW2XDm7NyR2vbzh6JhCMXEl0rJ8GWFKPnJH3F9zTK7GYBbNfnd4P7N3ufMFVs4p08PQn4ftxYPJtfjPsCOHEY0GeehdR8zuWhQ+rERw3l2y1rC0Xru27iIMya6DrB1Xdy38YM0+Q3H6nho3WKmDp3gyFvIH+Se0uMxpM5VAwdTrevcuWJZmtzctnwZFYkqZpaOIOT3p66zOSOe3bKOkD+LqcNKeWDDPzmpU4l9XayK61c8Q48hVwC2I2LU6DvwevIIb/0rdw7vkPZtTC7uypzdC7i7+Hzm7PqIu4p/Tsifkzqew90lP+fV3W/Y27423DXkOjZu+F+bL2LMffh9hc7zTgiTvy25keoUQWV1NMwry29n5LBrWbnsPiKp1I1IJMyHH1xDPJ5eTedIg7TMUIMjwtlXVYm0zG+SN3UoC9jOOak0jRxsIstfA29JKZMp7sFFQBGAlPIpKeVwKeVYoAqbGgDsxfB/ShvLAAsoJINWR6tGRggh2mF7nySwXEq59/87PxVCcyXwNjYfxNNSyg1CiDuAFVLKV1PHJgohNmJ7q26QUla0Zr+PJEQMg9W1YS44pTOWFChCsnD/Lob5juJwaGripsmaL/fxyNhRaWU52/rtML+okSCarOexcSMxpEQTgs8j5URdWeRhK+7WSLGImyZryvfyyLhhzv28tXub048MMkgmbXnSNBA6yAMqZDQ4I6xs22jR19iWrVJwsDSNRqLLDDL4vsCwJEWFbfhN774oKFhYfLhnNz/rms2j40qwLLva0pu7PuOJjTsJuDRUAW63wQWnurEsOyLCrxl4vYdWejmD7x8UIeieE+TJCaOIGwYJyyBh6pzbqy+5Lh9X9h/H5f3H8MGeLZS27USBN5sHRk1gfzTC4xttvogCj5duwVwsKblucBECi2sHjUAAbkXhsfFD7B+TKqaECqWen04QZGlufC6FOiuGxMsTo3+NYYEmJJ9Hd9E52L5Fm8GvNTL+F7j9qEJjxtDbbU4Iq45rB/yMbJcfVdGahdW/sG0LZ/XsxWPjyprYKl/ws25dGH10ATV6hIc2/Z3pw3/D6BP/B2mZCEVFVnwBav3XKrObAUTNCIYVaPF9ds8OcvXgPjy87mO6BrN5bOw4TClQhSRiVuJR/VTG4wgkD44pxZKS+qROrsfN7cXj8CgKCRM8iskFp7rRDQuXKtCVBCd27ku228OYUFfa+rLIcfu4oHcxfpeb/x55CkJAnZ4gx+VDtyxcikK+29NiOoYpASXC1YP7kOPyk7QMLJngyoFDOMobYG+snF93P4ZCb5BTOpQytt1wCj15ZHsDTPzlB4CFhwTx6JeUjLgZKSWPjx9AXawat8uHlBF+3mkYLqHyq26j0YTKk2POxbRULAk+VXBmlzP4ZedfoQlBUEnQceQMFKGgKB5qYuWY0kATGkIojiOiAdXRMEjYs2de2v5IJIxp6hzJEIoaFnn5XZo6JERePkJRw//PZV8FZwEb2+nQwAPRFK8C52FzQvwS+EBKKYUQu4EJwHNCiAB2tMMDAEKINlLK/UKITsDPU8fAXgw/BvhQCNELm149PY8tg1ZBqzkjhBAXAbcCH2CToDwkhLhDSvn0/3edlPIN4I0D9t3a5G8JXJv694NHQNPonduJq95JsC8iaRsQ3Dq+E4HDjIzwaxploS5c8eGWNJZsv2bP7IKalzqX6pBLNrBaB7XGZenWSLEIaC5Gtu3GVR/sbWRTHtWNgJZJ08jARmNkhICEhJwDOCNSqUWOM2K5veqrFh4kTcOT4YzI4PsHv6bxi+59uHbBekcnP3HMEMqjLm6f2zgeTBvfkSxNRRXiICTA33X2ZQbfNhQhKPB6KY9Wc9niFygu6MIvu47msrlrHNm5f/RAanSLyz9otAFuLS3m9V2bOb5zdy5vMvZPLurF37Zv4vw+fUla8JfNO/hVjz7MWrrfGbenjsgnoSa4YfFq8j0erhxQxL0L9SZy2YUv49Ut2gzZbg8DctsCcMWAkVy64G2nWsbdpeOpT8b4r8WP8M8J01oMq09YJlcsbLzmrtLx1CXruGTxbPscXx6aUNn+t/PR68K4gyG6nXAPwv29Jcn+zpGlBqmXzdN2Qn4vFvDc5k0AnNhpINe93VQO8rGUCJcPGML0FWuaVOLoxeXzlpDv8XD5wIFMX9pYwWXWqG48tWkZ88K7nff77mefUNauK09/so5fde/LzcvmE47WMy7UkQv6DOXSJqk8M0eMZGwoxPxwuEk//dQma6hNGsxev6xZ+sRDZWdy5+q3GysX9TyZKYu+ZG+kmnaBem4pzebFnR9wbvfB5KsaUSNC3db3Keh1LG8uutwhmWxTMJDRxTdSH4/x5va/MKbbNdy5fA/5XjeXD+zG9OWfON/Z3SP78vmq+4nFK+hVfBV/+niaUxnjqpL76B0ax+Zwo+Mh1x9CMe0IjUgTUstAIISqHuElPYPB61znXtKUMwLXuZeUEwxe93WbPMQF7KewHQ7bgEpshwXYVTj+VwixAXuO+r9SyrWpYy+nOCOSwBVNOAmfBp5O8UrowHmZFI1vB62ZpnEDMFRKeb6U8jzsGq83tWL7Pwrohos75tqKHWBfRHLHXB3dcH3FlQe0YypMXrTdqZe8N6ozedF2dNN+5VETp7wW2N7uWxZvIGo2tuFWLWaW9U8LS5tZ1h+3anGoSJgKUxbtd+qc740YTFm0n4T5XWcIZXCkIKk3Rkagg3SnOyMaKErMIAgvGDstcIMIttxehjMig+8jdBMmL0nXyabldhwRYI8Ht89NMPbo9k6Z5gx+vPApkhlDJ3JOzzFMXrIxTXbCUZ3bP/o0zQa4Y+kuzu7dn+nLm4fen9i5GzWJJLcv+5gTOndh1tLKtHF7+keV1CQk4WiMc3v35d6F1gFyqZM0FGaU9UsPZS/qxUPrPubc3kVc2LeEO1YuJhytT/12PTctnUuv3K4AeBTBrBEj08Lq7y4bxYPrlqVdc/PSuQTdWfY5vjzuKT4fn5DodfaETa8Ls+ONG7HMdGLXDA4dcUvw4LqlLb7PR9Zu5Jzefbmoz1DuXSibyYFbBBxHBMAJXTo5JUHP6dPTcUSALZe3LNrBiZ16A43v96Qu/Zm+agkndu7B9FWNMnNip57c8tHitJSMyR8t5qqBQ9Lk5rbiYfx527PM+ewt7i7+WVr6xF3Fp/HQhg8cB8VJHYtTjohGeZ+1tJaTOhYzdfU7VCeiVEc/J7/P8axa/gA/KZlGMGBnGxQNvJjaRBVPrJ5GWaezuHP5HsLROOf06eQ4Iux+xrlp8SZCPc+i16DzHEcEQEU0zEPLruOnQ68j12+3m+sPceawWQRkFsdMmKO3iKkAACAASURBVE0g9XsNnBFe75Fd0lNoriWiXegU92XXLnHffPun7suuXSK+GXklYC9gSyl7SSm7SylnpPbdmnJEIKWMSylPl1L2kFKWSCl3pPbXp/b3l1L2k1L+sUmbY1L7Bksp32+yX5dSni2lHCClHCal/OCb9D2Dg6M1l1AqgLom23WpfRkcBgwpHMXegH0RiSEPs5qGJSluG+S/uh+NRyokhMXj2z/HsGTqdyT5HjdXD+5NjttFjZ7kuU92pqVgRI0ki/du5ZFxg7GwPVdv7t7ApE69yD/kfuAo+AbsjRiYh+7PyOAHjhSXlOOMOFArNaRpGJbAc7SCsd1C66AgDhah4wYSIC2JUDITtgy+H2hJJytIbhzqJs8lqEpKntqUZGOFhSXJpGL8iCClRTRehWnpqIobryeHar2OuBkjT1NA0ZqF03tVlUKvi1sHdKWtx43Ho1AuDDyKSr7HnXZ+OBpPVRiwK3XkuD3sjdSmtbc3YuBT7UWRHLenRTulvT8bt6bzyLihGJbElBYvbNnA/PAXXD1oMCCdSWUDCjx29MIrE27DkgqL925j9qjRKELBkhZeVWVe+LO0a8LRehRUXvnJZFSh8EXVOnStO31/+xqWNFCERv3uZUjLJIOvB8OymBfezQW9h3D1kK5OJZ8G8sorB/VFw8e+SLrc7YtITJleASXb7SLf42FK0RDa+4PMHpvL/pjOE+v2sKEywt6oTqHXzs8cmHcUV3Qrop0R5O4BEyjI9fLQqGMxpeTLWBS/5qbA4+X3g4bS1ufDq7mIJA1cispT4ycQN00kSWL6Pq7vex7RZDWLdz7Fn0ZdSThWjmHp5Lq9VMQj3FNyOjluPwXufPZGvki7j70Rgy7BELcNO5lcrx+/MNClwcAR1+MSLo776VMY0sSteEhacN6w+8l2tyMcXeXcc0spLpqnEy6hOI6IBlREwwjgop88g2Ek0ISGnyyE30+uyOH4E5/FNHVU1Y3X+/VLSP8nITTXEvLyM7WdMvhKtKYzYhuwVAjxb2zOiFOBtUKIawGklPe34m/9YKEJO9St6UDfNiDQxOGt9Po1wVVHd2TPkzrJKokrT3DV2R1Javbg7FEUrhjYhxlLy50wzCmlfdIqZXhVF0OO6sjlCz5wwuH+UFSEVz10sXEp0C6gpTkk2gU0tCNfj2bwH4LeEBkhQEgOSmBpmhL3CA2ZSOIZeXAZFG5ha6AEkInSzeB7ggN18pij/RT3ELj/nqC6SuLOE0z+lYfHdupkgiJ+PJDSoqJ6G6/Pv4a6SJiuHcbRY9DlXLdyBgXuPK7q8zsKVbNZOL0mYHqv7lS+aFBeZeDKE+Se4eLB3eVcMbAPj6z7hA1VtsMh5PdSqydwp6pw1eiJFsftmGnn1NXoCdoGfM3slP3xCIa0mLnsMycEf3JJT2qSOttqK3ApCiF/luOQGJB3FFcMKEqrnvGHoiLuXPke66v3AfCPn56ddo3d3ywUITjl/ZlOZIRHC7Lw378hVh92CCyF9yDhcxl8JbTUu9oXi/Dgmi3NqmKAhXIQe1URVlolDUtKrhs6mHhS4aoPwk1SfzrzyJpdVMSTBN0uTunUkwsLh1L9ImyrSuDK8+I928Ufd3/E3FQKx5/GHMflA4bw0tadnN6jG5OXNKa1zRrZn5c+fZrllR9zx6Df8frGB9lRtY4Cf4hje57HtDUzKXDnMWvYH7iy/7HcsXIJ4Wg9D5Qd36K8Vybq+K9FzxPy53D70Im8tnE62Z58Jva5jBtWznS+vztXLSAcrWN22anOd1irJ1tMcTESlSDqKPCH0hwSBf4QqlAIePNbcDQIfL7WKSGdQQZHIlpzSrgdm+yjQSv9G9gJBFP/MjgEuLQkt4530zZgW5s2Z4Qb12FyRngTGnuetx0RAMkqyZ7ndbwJexInpeIYvWB7gWcsLUfKRpEwJNx5AAv3nStWYByGX0QRJlNKC2gXsH/XdnoUoIjMikUGNpIJW6DcZmqGdRBnhGGC1l4hcJYHNXRw1SVSqZRWJlUjg+8RDtTJZ3TMYfdziTQdXvW3BNcP9ZBzmONBBt9fRONVjiMCoHO3U7lu5QzCsf2c3+Ns7ly1gOe2LGfmAeH03bQAlS8aafJT/VKSMzrmMGNpORf26+acO7moF6/v2kGOx8W0kiG8setTbinNTxu3Z4xuQ67HdlY8u3kT149W0uyU60cLLJKOIwLsEPyZyz7j6oHDeHbzCp7atIxbh48k5LdTLC7sO4Q7VyxvZmNc2Lck1bcgPlXjrtLxzjUNnAINCyfhWBU3Lv8zEcskVm8/o1h9mGXv34BhpJMaZnDo8CiCu0vH8/rurUwuGnhA9ZYBPLR+IbqsZ1oL9uqbu7ekVdJQUKiOy2Y25/SPvuSC/kczY2Q3Hl63msu6Dqf6JQ6wW5Oc2b4/YEfEhKMRpq9YwwldOjar9HHL4g2c0/1cwrH93Lr2v5nY67cU+ENcPOwOFCvJjCHXcXGvcwnH6hxHBMCTn6xgyoi8dDt1RC6mTKTarmHa6neY2PO/GNH5VG5YOTPt+2uo/vHUpo+YWtyTkN/Lc5/sZmpxn7Rv8u6RfQlv/Stb1j7DpUNupyCVklHgD3FV8R+pX/U3jOiRXSUjgwy+DbRaZISU8vbWauvHjKhhsGjvDu6d1AtLKijC4s1dm5nYudMhp0YAYDUq9AYkq6RdmAbQLdli+kTSarzGsKwWGYoN6zA4IyyLN3Zv595xvVCFkgrb3ML5fXsczt1k8AOGniKF1lKyJ10tE1geamqP8NjnyxgcVgmaDDL4DnGgTs53adRUpTsdklUSTcpMisaPBJa0SFo6E8ruIJGoYdXGZ3B5cgnH9gOQ7cohHK1jTtQmE3xk3Aj2xiLU6gnEQWyAfJeLvRGD9ll+Hh0/lHY+DzV6jBM7d+H+NatBwvTSkQgkDxxzFKrQsFWwScJyMX3EUBKmiSVr+f0oF0cHslGEZMqyuVwxcJjjiGjA3qiOBNZX72NAbltMCx4dfTyKsFnkDrQxigrb0D2rHf/86cVoCgiRZHF4B4+OPg6Jfc1buzcyqVNvHh95NbXJCM9sfRdTpi9wxOrDmTSNb4CIkWBftJxrB5UggIfHllKX1Nkbq2Vt+Wdc3m8cbkXD55PcN8mDJcGQBu/t2Uy3nFx8qsr9o4vxqCpSquyPmi3anO2z3FgywYmdu+ETLpJV6akNySpJj0AeA/KOYn3Vl4CdApLtdreYBuFWvLx6zPNY0kBTvFxd9hz1ejlJVNp4O1EISCnSIm3WV33JwxsWMPuYYyiPx6nVozy84V2uHFjapO0a/O48IOF8f4WeQscRAbaMP7JhLo+OPwEpJR4Bj48fiGGBS0BQxDm69EYsy0BR3Uwe9SSmlUQxDWpXPEescgeWeQaJ2jCK6kbz2+kYUlokYlVYpo6iuvH4vh9pGhlkcKhozWoaRcAUoHPTdqWUg1rrN34M8Kgqg49qy+Xz5xOOxgj5fUwtGoxHVQ+rHaGCK0+kGSOuPIFINaMposWwNLVJjr1dTaM5s/XhVNPwKArHdz6aaxctTr8fJaNIM7ChpyIjtAZnw/8TGXFISEVGZEgsM/g+4UCdXJk08Lagw2VGdf4oYEmL/TXbeHHhNVRHw+T6Q/yseBoJUyfka0M4tp/aZA0hf9B2SHy2iTHtuzJ77UrC0XreHn9WizZAZdIOkf+0NsKDazZzw7CuXLN4vnNOyO9nc3U5s9ct45FRx1KbNByy6wYS6zc+3cac3Z8S8vu5taiIkD+LikScWj1BO787zSHRzu9GYjEgty2X9R/DzBXrHVtg5ohhjA21Z37Yztc/uVMXftltEFc0CeWfObot44/uzZXzlzbaEMUDKY9HuWzBa4T8QW4ddhoeJb26gC8rhFAOz27KoBF+zUUbfz6XLvwn1wwczex1CwlH6zi5Y19O71rG42uq+WWvHGYta6yUdmtZAaXtQkz9aHWTdzycPI9KzDBbToWIx/BqCg9+vIs/9Pfjy3M3k9nd0Tou6z+cxzasJGYahPw+DMtqMQ3ClCYPrf+Ai3qP56al76RVYHl07ULm7f2U2WUnN0v9qUjE2FG3jxuXvpFqK0iN3jQ1JYeoXgXC/v4K3HnkuIPO9+e0o0eJ1X/KorfOJhAIMe6Y+6hd8gQ1O+bhDobofOxtfLH4IZKRCjofexv7Fz9EZO96Au0G0H7kVWx5+WKnIkz3k+7HW9CNuqodLH3vWicFqfSn95Od3yPjkMjgB4PWlOQXgP8FfgGc3ORfBocBU5LGQhyOxpi+Yo1dL/kwEHFZ5J/hwpVnOw5ceYL8M1xEXPaMz6MazBjVJj0Mc1QbPGrjQOFWBbNGlKUxFM8aUYb7MBKWTWTL90NmopiBjaQuUTUQDfbrQZ0RB5eZ5/ckOe/jOP/aa9icEQDxg56eQQZHHFwCppQ26uSXPquhw9meNB3e8WwPijeTovFjQDRR5TgiAKqjYV5Zfjt+xc19w6cQ8rXhz9ueZ1bJREJ+OxP29V0bnZSGvdTR4Wx3mvzknuHipc9quKW0gDc+/ZxZI/vTzu9LG+OnDC/i2S3rCEfrMaTarOrW5CUb+E3vvs65lpT8fftGZo0Yyeu7tjO5pCPt/LZjoJ3fzdTSTkSSMc7tXeQ4Iuy2Ykz+aBVXDRzs/P7ZvQcyZdG+tFD+yQv3oQpPug2xfB16ajwIR+u4Y9VcTCnwZdlh776sEMUT7kFRPN/uS/oBQ7fg5mVvEY7W8eyWVUwdOoGQP8jZPUuZsmg/x3cNMmtZegWKO5ZUOBVXoOEdr0QVklyvYEppYTObs13AzZRUJZhHt20n9wzlAJmF2dtWM2PlCi7sO4T2Ph+3lQzGowimFvdOS4OYWtybOj3CiZ0Gc9PSuc0qsJzYuR9As3ShBmfF67s2praD3F1yHK/vXpvatjkj3tn6OB/t+jd/HD6Zi3udx3+v/4CpQ8c731/IH2RWySSEtHV0JBJm3ofXkdPvJPuZ1oXZ9e5ttB1+vvN3qORi+9qSi9n17m1pFWG2v3YtiWi544gAO+Jn6XvXkohl0jky+OFAtFbJVCHEQinl6FZp7BuiqKhIrlix4rvuxtfCnvoIWaqKMNxI045wkJpOvWnSIStw6O3U6bz/aT2/6JCDIsES8PKeGn7aJcjRQRd76mtIGCYBVxDTkqiKIJKsw6OpdMjKSfWlEhcquUkNxbSwVIVql0ESkw5Zh5Y0sqc+wv76OF0DeViWXaZxZ6SKNlnew7qfIwzfCn3c91luvwkWvJPgs50GE7q5cL2YxDhRRRY2+kmTpuTdNQbDe2v069o8mGtZtcm0LUlcApISHjlKo/AfBsErPLiHtSZH7/ceGblNwbIM6mLlmNJAFRo+TyGVegzDstCEQFUEprTwKBpxU2BJgV8T6IYLwwJNAU0xiZugCNAUC1WAJUGYLpC2rjOVJPFUm35V4E45YatNsKSwrxUSxXJhWYK6pEGhW8OyBFJILM0iXidJJqEwS0V4kxjouNGoNuMIVLyqm5hlYlgWAc1FwrQrc2hC4FEhaVm4FbBMFwE9iWJZSFVQ7ZJYSDwiiRASXbpIWhYuIchWVRJmPZY0UYSKgkAAfl8hitL4TUlpYUQbw4cbwopbGa0ut0eSzFqWQSxWjmUaKKqGL/WMqyNhHnj9xGbnX33CHIK+tsSiEstSQJHEFR1FCEwJppSoQiCQuFUFT9yFsEAqEHObJKXAtCRuFaSEpGU7fBVhkTAlmqKgCYkpFUwLttbUs/iLfZx0VB4FmkaFYdChTS4J7NQ5TQFLmgihYknwqQJMzRnvY1IHVBQBT23axOj2bcl2u6jVkzy3eRvXDO5LeTxCtttDG28eZ7yWXjmjf76Hu0aFME27vThJ3t79GSd07oppgaJYvLF7DZM69cQnYs43rRkGmhAEsjv8Z15kOr73unZPfQ37I/V08bdDpnSVEBYWgsfXV/CbfrlUxE1qEyYvbKpmQ4XNr/DUpHb8cfVqzundm87BAD7VhYXErYDbVLFSdq2lmZjSIikhHEnY8vDJLgRweY/u9MkOIhVJvSuJhV2ZxasoeBUFd8xAmJK9egI1KwsDW1+/sHkL5/frgSosTn37ZedeBuQdxbm9BtI1O5eddZU8u9l+htNLJpG0LExp8eHnWzm5cz8MKZHSjlQTWOiWiaYoeBVB3JIYFvb3JSQnv/MIp3QaxG96lDlpyH5NQ0jQZD17tr3J2jWP8rOfz0GXBkK1RwBLmqhCxa94MZORlI5V2PHmjRQWnYfqzcGM11C+4hk6HTeD9/5+arP3c+wZr+FPOd9aEUc8NbIQ4jjgQUAFnpRS3nXA8bHAA8Ag4Ewp5T+aHDsPmJranC6lfOaAa18FukkpB6S2bwMuBr5MnTJZSvlGq99UBq1aTWOaEOJJ4H1sHnsApJT/bMXf+MEjX1OJ1Lr48LU49bWSrGzBMSd5yM8+vHb8mqC0vZ/zFuxxQuhmjGqLL/XGczUPn+twxftfpIVDtm0iEQWaH608ivnk+xiVEUR+gPyLxmMU+g+5H3mailBzeerVONX1ktwswVkTc8nNELBlkIKuSzSXcCIjmnNG2P8bB+GM+NsXBoUuuL6Dxp27DN6sMTmHTJpGBi3Dsgz21WzlpUXXUx0NM2nQTeS1O4abltqrgCF/kLtKjmNNxacMye/HLYu2U9QmyC+7d+KOeQn2RWwG+etHuXhszT4qEia3jiik0KdQX68y54OEo+tO+4nGzPUbqEzo9iq0T2NfTHLzwu3sjeqMbZ/LlX268NI7Olk+wUklbt78d8LR/SWTXJBlsbwqypi8LKpj9eS6PdTKOA+sf5/rBk4kHIty09IPOaVTT0aFuqaF1M8a2Z8ct0JNXCOnqhb5zHxHl3vOH8mM8Cou6FOEgskNy95w7v+ekkmsWv9HNofnOukBGz75KyUDL6EgtyeKoiGlRax8G9tfuzYtrNhXmAkfPlRYlkFV1VbmfXg9kUg4FdZ9L3l5PdFUN7n+kBMZAZDrD+HWsqipFLw/R3fkpPQ4hag3weTUCnPI72X6iL4Ylos7luxzqrOc3z+PKYv2UeBVuXRwATOW7m9STauQR9fuJt/r4oJ+HZiyyE6VGHu0n9u6tkE+NQ9ZGaEgP4B60Xju2VnBvC9qGNM+h9/2b8/kRVso8Lq4YUD3tG/glGNc3LvO/k5mjOrF05+sZ354n5OyqQq4cekHALx87Jlpofz98z3cMqQdT/+76Tfl4idHd+W6t3XnW5w2fihZWpLp839DRTRMgT/ElSX30s7T8Tt5rz8E5GoehJLF0682efbjPSxZp3PO8AIe/ng/Cz6P0i6gcUvJUTyxtpKKuEm+x8XVg4byl021/LIXzFr2BQUelckD2rLs7USaXVvvMbh2/rYmlVd68Kd127hzwyYeHDuIqxd85KR7TCseQhuPh9zaGMaTtiwelR8gft5YbtoSozxhMaW0O+XxCG5VYVyoI/PCnzEg7ygu6z+cGStXOBVbpgwfxd+2r2ZvtJZLF75iRzQUH0eVnuSmJYuaVHYZzsMb3qbAm8WFvcdw87K3HR05q2QSZ3cvYWS7Hvz+oxcJR2sI+XO4q/g0fKqLpbv+TlnnSYwKdqTCqObfm5/k2O5n8fTq2x0Zvar4XmI7F7F76yuMmPgQR439PfMXTnV0wZjRt6NKO9KnITIC7G3lgLSkHwOEECrwCHAssAdYLoR4VUq5sclpu4HzgesPuDYfmAYUYRdaWJm6tip1/OdAet1hG7OllPe29r1kkI7WtBh+CwwBjqMxReOkVmz/R4Fk0s2Hr9kKG6C+VvLhawmSycNTPLpFs3DHKYv2oacmdPWmwuSFzcMh681GkVBiJuaTc5GVEQBkZQTzybkosUMnhdKTbv76jj2YAVTXS/76TgL9MO8ngx8ukrpE04AUd8SBaRqKEAhhl/Y8EF/ELTbUS0ZmKwRUwbCgwkepMmMyk6aRQQuoi5U7jgiAzh0nOY4IsMO+b172FmPbDeCWRTvYG9X5Te8OjiMCYF9Ecu+iJGf3y7fDkz8qR5gacz4w0nTdv943uLB3d4fpPW6qjiMC4Ged2/LSOzrV9ZJjhrhY/E667l/2dpLqOsmYDkF8qsVNS+diYVc6OrHTIEDlpqUfEo7Wc3ynns1C6m9ZvAEh3cRq4nifmZ+myz1/XsxvQn25adlbfJnQ0+7/xmVv07fb6fZ9pNIDenc7mTcWXE80Vg6AEa1yHBHQGFacYYM/dMRi5Y4jAhrCuq8nFivH78njzNGzyU0x7uf6Q5w5ejbCDPL+nHQ5WfqWRTwq0t59TUJyx5LG6gXHdw06NsFv+uY6jghorKZ1Tt8QJ3YtTLMdzurgdRwR0GgH/ProXABO7FrI5EW2TF/Yu0Ozb+DVD5P8tm9+ygbZzwmdu6T6aKds5nl8Tri8WzGZMaqtE8p/Sf8CXn5PP+CbSlJRR9q3ePtcnYThckolVkTDPLzseiJmYy5/BocHPelqZrv9a26CYb1dvPhOglO72BG0eyMGs5Z9yW8H5DGltA0JE25fUp6WxnFRn3yWvZ1sZtf6LdcBlVd2cWH/rsws68/DazempXvcvvxjsnTLcUSALYveZ+ZzRc+slAxXoJuCW5bO5coBNpfJub0GOo4Iu60oM1au5KoBo7BkY6pPlR53HBEN5925YiXn9hrNiZ0GOY6IhvNvWfY2p3cr5s7VrxOO1qT213Dz8n/xRbSGsi6/4qHl15PTbhAPL7+R0Z1OdhwRYMvoQ8uv56hexxOrDxOp/9xxRICtCxYsnoZZV07JyFvTUpBKf3o/Ht+Rz84tDb3Mqg4vtir27LSqw4uloZd9wyZLgG1Syh1SSh14EUgLG5FSfiqlXItD1+9gEvCulLIy5YB4F3u+ihAiC7gWmP4N+5fB10RrRkYUSyl7t2J7P0pIE0dhN6C+Vjb/rL4ChiU5pWuQ0zrmIKQd8vuvz2qcigSGRYvMxk0rFiimhZFS+k7/KiOoh0FgYVk4g1kDquslVmbROoMU9ARoLgEH4YwAOzqiJQLL5dW2wA7NUlL/C5ZW2scykREZtARTGmmrzZYkjYAM7G1LCsdQVhXFmfw0YF9Eku22hXVvxEBFaVHX5brcqTbjGJZMI/fLdWtU19sy7PcIfD5B2Rg3Xq8gHpd8vCJJQFUxJVQnDcLReiwpEQhy3D5MaTl50fZ9NGeXNyQEFRwDvgGyMkKh5iUcrcOnaQdcV4fH3WjsVkfDeDw51EXCmJY9blim7jgiGqDXhbHM9GoKGRwclmk4k48GRCJhm21fKLTJ6cFFP30Ww9TRVDd+Tx7RupZthICa/g59mh1hcFKXIBf1zscrFP53rI8KkUQVCgVeNc0G2Bsx0uS5AQUu0aLsFLhscshst+bIdFN5bkB1vaR7tpdZo0M8v7GSHHcjj0M4GsOQkmsGDadHdgFJafGPHRu4d9xAVKHgkxrV9fFm7fm19Oi5fRGJIeHSkkfwu/OJ6pW8s+VPzSpsZHDosKRoUZ/5PPb+XHfjQL03YhAKuJi5dD9TR7SxZcnTKF9tvC72+Yxmus0jVJ6cMJCASyFumuyPJume7cLC4sxe3TmhS0ee+2QbG6qqCUdjuGXLeqwgFU25N2KgCY1wtJ5aPcE1g4rpkZ1HOBplQF4+5/TuS7bbTa2uo5smShPCdp/qbrF6XI7LD8JscYywK87VHLC/Bp/mRmA7x0xpUBENE3DnOI6IBlREw1gp417VfC3rAmnimfMIoydchwxko+a2x5PV9oiPPpOGXib3bX818fwNhbI6jMgNdfGc/cdXadv9FKG5l3zNZo8GmuZx7QFKD3LuoVx7dOrvO4H7gJZqAV8phDgXWAFc1xBJkUHrojWlebEQol8rtvejhFAhKzt9oM3KFof9poIuwSmFOax+PsHiR2Osfj7BKYU5ZKXGD03BWX1ogF1No3FbagoiP53XQeQHkNqhp5UpCuRmpZ+fmyVQjvjMtAz+U9ATEpcLRELaGfUtuEgP5oxYVWNR6ILClDHS1StAtTlSMpERGbQEVWjOajPYnA8NBGQNCPmDKEI6RHymZdE2kK602gYEtbptbLcLaJhYLeq66qSeatNrV8zwN0aFVeuGc40pJWUj3ex4W2fVs3F2vK1TNtJN0CtQFbu6QsifhSIEEkmNHkMVirOqbN9HesnPkN+LJqDOokVdXm7ECfmDxAzjgOuCJPRGmyvXHyKRqCEYCKGmOCMU1Y07mJ6z7A6GUNRM1NuhQlE1AoH0ZxgIhBxeDkUoZHkLyA2EyPIWoAgF5SA2QsRMf4cxw+DXvXO4tEsBG/+iO3ZAbtTFnG21XDq4gP4FjY6BdgGNWj1JrZ5Msw0qkrJF2alI2gq5VjccmW4qzw3IzRLsrJE8vgwuG9wWq4mDIOT3oQCz1y1At5KoQrCifD9nvjeH09/9N1trK1tsL2qkT5LbBgSqgJnrtnLhgveYuW4rJ/efhitDYPm1oQjZ4rOPJez91Xp6VYxdtToVcRNLSluWEnb1jP4FHrJ9okXdtj9mcfWbBlPeTxLVXby3VaM27mL26u1cPncND368k0sH9KV/Xi4hvw9dtKzHKpLS6UdtMp6q7hJj9trlKEIwNtSeSwcM5sE1n3D5vKU8uOYTkpbAarIqFjN1h0i1ASG/n5pklBo91uIYYSEJ+XMO2J9DzNCRJCnwh1CFRoE/RESvocCf/q0X+EMoKePeNGIt6gIRqUF+th6euR7lL9Pw4D7iHREAsr7ivgZHBICsDpN4/oZCWV9x33fctTQIIYYA3aWU/2rh8GNAd+yo/zC2wyKDbwGtKdEjgI+FEJuFEGuFEOuEEGtbsf0fBVwunWNO8jjGRkNunct1eKtNakJl7csJ4jW2so3XSNa+nEBN2KsZWarFzNFt05iNZ45uS5bauKoRcXmInzveUf4iP0D83PFEXIc+wLtcOmdN9DiDms0Zcfj3k8EPF3rC5owgxZKMjQAAIABJREFUgR0V0ULpWFVpnqZhWJK1dRZ9fI1qTBOCbj5BXAUZy0RGZNAcQV8hZ4y613FI7Prsbe4uPS6NEf2ukuOYv3c9s0Z1o53fzQub93DrOI/jkGjgjHh+Y6Vd0m5EIVI1OHmClqbrTvuJxlObtzv8DV7V5K7R3Z3J2yu79nHGRLftoLVgw5x0nb1hToIsVSWgmsz5dDN3l45HATRBiund5O7SYwj5s3hz91Zmjeyfxi4/a2R/pNDx5XiJnzc2TZcnzh/JC+FN3F1yHEd53Gn3f0/JJDbt+Lt9HynOiM075nDCmHvx+woB0Px5dD/pfsch0cAZofmP/PDhIwU+XyHjjrnXmYQ0cEb4Us+4xWv8gp+cnG4jlB6n4PXLtHef4xGc2z2vRTvgV13sNI3fDrDfVQNnxHObwry+szwtVeKve+IoF6bbAepF4/nL59UAvL6znJmjbJl+avOeZt/ASeM9PL8+6aQ2KSlvc8jvY1bZcBaEtzJt+ARe2LYEt6Iwa8RIZ1L4ymeb+fUkzwHflIuCIGnf4rTxbuaFN6SF0U9btRCDdOdcBocOvyvZzHY7bbyHVZuTnDnRzb8/tSMCGjgj3txZx5TSQlTFYlqZvX1LyVH8dkAe5fVmi7otFWTFvojkvsUJJvZwcdvcBCd2sbk+wtE4M1ds4cJ+vZhWPIQ6t4J20bh0m/S8sTyytd7uR2kur+/exNRhI3l91zamDivjH9s/5upBQ5i5Ym2zSi6KaJDFILluD7cVl6RVlvlD0XCe3bKQ13ev5a6SSWk68tZhE7CsOLOKTnYcEiF/DrcOPYmQL5sln/6Nq4rvxWXBpUNuZ+HuOVwwdJrjkGjgjPhyy5v4skIEstozbuxdabpg/Pj70Ja/Zt9rbgjPufdD4HuiX00z1OCIaICsDoNpfhPWzc+BpkQwHVL7vsm1ZUCREOJTYCHQSwgxF0BKuU9KaUopLeB/sNNEMvgW0JrVNDq3tF9KuatVfuAwcCQxZR8u9tTXUKB5MHQ30gKhgObWqTASTpWLQ0FdlcXiR2PN9o+63EdWnsKe+lqkJXGpPswUm3bSjCEUQYcsmy3zizqDu+brXNLHIt8lqUwKnvhE4eaxbtoHDy3DZ099NFVNIxdL2qt3OyPVqWoah06EeYThe8+UfaRASsmf/ztKt14qfbeDstnEOL15nsaCTUlygwrjhzWuuq6vs7hhk85F7VQGZzU6JN6oMDnpTYu2Q1VyL84Yo02QkdsUGqppWNJAaaGahqYIjINU0zAlqKL1q2m4kwqLDqKzYx47nN2nKigYmWoa3xBHksw61TQsA0VprKZx0POlpD6RQOgupCUQikTXdCwkuiUB4VTTCOjeFmVq5OU+VtfH6ZGnYkmBJU1iZoIslxdVCDQhMVLVNEwkkWQcLaLjR1BhGLRrk0PcsvviVgRVepygy4uCwLBMshUvlhRsr7J4fn2STRWNixzPnubFEnE0IfCqgppkDJfixbLsCgZbqsrpmJ2NIgSWlHy4Zw8/79QH0xIgJFK1EELHMD0Y0u6rV0ty7JtPN7vPV479Ne2zvpPJ2/de19bX7kG4C0kk3ciU7SaEtJMKVBPdsitdaYrN6SQlqMLiiQ072Vkb5Zw+XWnn95DlcqHXwtY/Nyct73+Bl/PfbQxhvG+il+veiXPvJMGl85c6+18+vhS3IlCEREgIJCykYaK4VOpcbhIN/UMnYiZJGEn2xSMs+GIHY9p3o2d2G37x1ofNfv/FiWOp1Ouo1RM8u2UVSJhechyGlUQVEpeiEjcTKELgVlRMaVe9sBBY0rJlTzGJmRYGCqpQ0BSBS+pY0sAnvAhpYCKJWTFEinTSkiYuxYMuNZJS4haCXE8A9Ai6FUdKC1X14PHkIqI1SFNHqG4I5CGUbzUqotXk1qoOL048fnFZU4eEyA3h+a//WaLkhkZ+rc4Jof0fe+cdJ0V9/vH3d2a2717h4GDpvR39gOOOkxINds0vljRLEtRo7IBGAUGRogE1Fuwl0ZhqYiRij4ICR0fgDjiaVJd2/W7rzHx/f8yyd8sdCIjRwL5fL18yszPfndl57lueeZ7nA2wGzsZyJKwAfiqlLGni2N8Dbx9W04gXsFwFDIofshrIlVKWNzinY/ycw2oafillIP7vO4E8KeWPT+baUxybU1YzQkq5UwhRCHSTUr4ihGgBeE9V+2cKmZqD2ibUNDJPUE1DKOBMFwlPNFjbh2NhvJqNfaEI9y76LFGteFZ+Lq3s9Ys9TUBZGO5YLDjcR7X0WPuPF4eiIBXBLz9dlqjyPXlITxzfbIea4n+EaMSaxNgcAhExm6wXAaAqolGaxudVBgLo5ko2yLYOQUiFuhpJxjdz2Sn+x1EUjXRPq6R9rTTfUY4+GupJH9PqiO1wOIxu2pvus1Vo4W4sg9yKemfucbupPfX9e/ZXHOrkq38PIRRsnqzj/fYUTaAoGh7PkRbRNKaU7Kmtwqi2s6KhMsGFKnu13by+uZQruwxg+uoiAsFa3hn10yZtKiyttIkpI1VqzTLmlqzk5pyhvLRhM1d068zMlWsJBEM8Onwos1dvS6pF4nc7ucvZhXGLlwPwUP5gHl9bQiAYYv4F53AwqjJ+8R5uH9iC51aSVGulpUcQM3Wu/Gg+frebZ0eMJqRr3LFkbZICzCd7dvPcxpL497k5r0MHLv34CQBu7DmS4S37cu+SFUnnXNVlIH/ctqbBdfqwHcOpk+LYaPbm7AhFuXfJGpo57Nzctyczlh1KUl+Zu34T5ZEoEwf35Nni7Yzt3ZFVBysJBMPcU7QWgEeHD8BrOJu0Q59D0CtLYWOZlQZXE7XUUWJJqTxOdtZU08br5oGVH1AWDfJY/kXcufxt7u5fiCMmaGZ3sHzX3ynodBV3Fs0nEKyhT0ZLbsrJZ/rqIu7sm4ff7UpERljtutgbrOLOonkN9vkorfqSx4o/5IGBY2ihmpTrOvet/SeBUAUjW/bh+u6X8JtlCwgEa/G7vczOG8XeNTPZs3tBoh2Px895338B5Z9/RTtrKCZBVq96iFBtgIwWfeiZfze7sTNpzQcJFY5H8i6nS1o2niMjQ31Z3329zSYQ3qzxjqtmN6wZgeOq2YeEN2v8ybYppdSFELcA72MNri9LKUuEENOAlVLKeUKIIcCbQCZwsRDiASlljpSyXAjxIJYDA2BaQ0fEUfhtPI1DAjuAX53stac4NqdsRSiEmAr8Brg3vssG/PFUtX+moB9FTUM/QfUJw6HT7zKHNZnF6vj7XebAcFhxcWFDcm/RqqSwtXuLVhFuEAqvKlEmFIrk0ORCgaocf4qFBKav2JRU5Xv6ik2kAuhTAISCliU4HFaaxpGynoexakYkW83GWpPWdnCrTTsjQnUpK0vxv0GVbqMqZpJzcXKfnXOxA6GeYPXiFKctFZEgZdURVrxP8hxhvkF7rTW39S1MOCIAnt2+osl5wKsbrbSJaQujmKaNsb0GMn3lOi7o2D7hiAB4acNmJg/pkZT+MTM/h3SHht/tAuCdHbuYmZ+L3+0iZIiEEscfN5QzvsCWNH+YMsrOa1usRWogGMSUSpMKMOe17xz/PjcPDStAN6OJUPjz2w5s8pwrugxMCqN/YFAhGqnCQSdLpSETv/PVPTslHBHQQH2lZ6d4KsUmxvbuSLpdZcrQnkn2kuEUpMftrqEd9r7IwYpFEa7NsWxkfIGDD7bGuGu4A3v8ZZX18qo76Q4bT61fy9heQ3lo6Hm8vWMDkweO4sVNnzJtzTsEQtWM6HwVj5e8xeSBI/G7fVzTIzfxt/Dq5nVMHNw3YbN+t4uH8nNp7rQl2czkgaN4dfMSAsEqpq75ANWRnXBEAFzULj/hiAAIBGu5a9kCeg2ZlJReMXr0o6hvzkMbkkv0H1MQH7yQUMTo0v9aymOhhCPCaqeK8cveoCKSXJzzfxmh2YtEyy6XOH71QpFzwls7HL96oUh8veKVAEgp35FSdpdSdpFSzojvmyKlnBf/9wopZVsppUdKmSWlzGlw7stSyq7x/15pou0dh6Mi4ttXSyn7Sin7SSkvORwlkeLUcyrdxv8HDMQKfUFK+aUQ4kRfNZ3xSANcLsGIAjsuh1UsaMWaGPIE56M1MfjPoSr+76pkNY1zvF7SnVYYb27zLH7WsysKAhPJ65u2ojdI2wmbOk+VLOeGvP6k251URcM8VbKWB4cef9pU1DRp5rBze/8epNttVEVjvLbpC6JmaoKdAsLxug52BxCVR+2RVAGxBpERppSU1kn6exo7LzI1OKiBnnJGpPgfIBwOY5N2nKpg3aYoQ69woCIwkKz8PEbfYUcJF0pxWhDVdcojBrppFZZu5lCxa013hFHTwKM6m5wjqNhQ0BMLpYvbd+Nn3fsRU2PkXu0AUxCSkpc3xnh3m9WZ7q+TtPakgXAQCIZIs9uS3h6XVFTy9PoNzB2VC1IiUCxpWVNl+rCBpNsdqAJe3LiG2/t3B0RiwVpSHuH9nRXMOLsZdtUqMFlauY9Cf2su6NCR6qiVWtKUAoyJ5B/nno8aT+X4NLCV5wtuxDAFKpLcFpm8vTOQdI4hJc8WXpJIo9p8YCExV+4pfFJnFrqsfzbpdhv76nRymjm4qncz0uwa1VGdbhkaD+X357VNX9Da4+T1TVv5YccuPF84FEUBoRpETYGKwOsQDLvcCQpUhk2WLo5ycL9J7giFmWc7COuSMV1tvLQ6yj2FTv51wTCipsGBUB2Prl0PQGdfMxQEl3UeQE0szDXdC3l18yKcmgMTSVmkBhP4Xf4PcKgaWQ4XgWAtxRUHeaZkBbf370fX9GZoQiKNCkJ6kOcKLyFmmmytOcTTGz6muPJLwHIQGFKS5UhLOCPS7J7E39dhAsFaTBRG5d2H5muJqjqwCQ0uuICgS0O/dhZK1UGcy9+lsP94YhmdqIuEmlThiJqnl/qL0OxF4iRTMlKcWZxKZ0RUSimFEBJACNE4rjTFV2LTTL432E70hQh6mcSRJfje9Q5QTU4kkEVTYN4XNTxfXF8RvZVH49zOVuaMW1W5rGtnxn22PhHqODM/B7daH1ZsE4KySJi7l9Xn2vndbrQmCgweDaeqNBHe1xOnmkrTSNHQGREvYHmU2qiqCqFI/faXYUmdAR2dCkZMEtxvIk1wZytoToGwg2xKpClFiu8Q4XCYQzU2/vJBmCtG2hnU2Ub4kQhmmUTJEgy63oFUU06105WorvNFdYyJiw4kxseZhdl0SqORQ8KUEtM0SXfYm5wj1JoRpAp+t5fBzf1c3rkv4z4rTozvT5yVyz0f6o3SJsAgZhr43S6qo7FG4ezlkQhf1tUhsDF92U72BaO0ctuZObwzVdEgHpuNlYf28e9dW5l37k9p5bEkRXOyHHy/o5fxn+5tcG8teX93Ka9vLcXvdvPMiLPxu52N0kAU4Acfvorf7WPu8B/QK60P49+PsL/OCuOfMrIbQMIhYanGCK5begeB0AH8rmxm507CqaWmoSeLTRGJZ1MVjXFWGzdXdmvOI0ti7K+L0dIjuG+kwnvbI9zctydRXefKdj1460OTytowGV7Bj8c4eHdHjCua2ah9Lpzo1zzXWQO9N02wq9pk/IL6wb2lR7CrNkSGE+Z8vpTiinL6NGvGr/v049G1a7iya3dmrFpBIBiMF5k8F5UwCoJbe/6E6Su2EQhuj0dVDGNuyVKKKw5SXHGQx9YvY2K/tvy9+EGuGzCVNaV/5ryBEzhUG+Cx4mVJDgK/O52dteXc0usSnto4j+LKnVRH6/C7vUkOCb/bi2rG0FDY+eatRGsCpHceiSf/Ov668C4qgwEy3H5+NGwqGW/NRR1zPabbid+d3uj77MrxpP6lSHH6cSpXhH8TQjwHZAghrgc+wqo+muIEsEUVoi9Yk1EAs0wSfSGCLXpij8qumkkVsVt5NGYMb4k9HvIbNSUTi5JDHScWlcQLYFk4RYRpuX2TqgtPy+2LU0Q4XnRTaTK8TzdTzogUEA7WOyNERB6jZkRymsam+IS6vQmB5ToVW0wqt5kElumEykxUOyhRMMzUQi7Fd5dgzM5fPohQWSuxxWi674/9L2YMpzgeyiNGwhEB1vg4cdEByiON35BWROp4rPgjMqWjSTvJlA4eX/8Zvx02mqu792s0vj+5rpT7RianTdw/ys7viv/Da5tXMjM/l3d27GLi4P5J4ewTB/fHNEXCEQGwLxhl4uLteDU3r5UW81DeqLjsrJ6Yd/ysVwazlh884t72c3HHbvFrCvLp3p1NKsC8u2tD/JgaDMPBAwsiCSeKlV4S4ZoeXZLOWVu+kkDogHVe6AB3rZpBnZlS7TpZFEik6Ly26QtuHtAi7oiofw4PLoxyQad0Ziw7RHObl7c+NqmsjRfprZX85YMIV3awIZ9LttfYixHyBtsYdaEDh0sm2eS4ApWXSnYzcfF2xvbqC8Ave+Xw4MrlXNihU8IRAZYNPbhyFVnOTAxpizsiGqYEb2ZsL6teod/tZeqgQXyw+RnKggFe/PwBzh5wOyWb/0a2O4vpA8ckqWLcN/BCXixdxLQ173B993MBeHt3EQ/ljUzIKR+uGeEKHWTnR9OI1ljOMW/ORfy1yHJEAFQGA/x1zQPEzr0eV3pbWnqaM+OI75vT/xIy9FRfn+LM5FRGRrQA3gCqgR7AFOCcU9j+GYEwQEkHz49VFA+YdRB610ScYPRWUDfYXHmIud/zJ8IWl+8P4HU0pxlWCF4zh507+vci3WanKhbl1U3bktI0dCPEsnVTuL/vr3E4mhGJlLNs3RTa5s047uvQTRKTkcPsq9MxUlkaKaiPjLDZgeixakaIJGdEaa2JV4IoNTANaN5VQWhQscPk4HqDFgo4DdhVJemUmRrgU3w3UZFcMUTBZwev2ySUDmZZ/edmmUToRz8/xf82JzI+Rk2Dhfs2I7qIxMLuMGaZRBiCi9oPJNPuIGoqBIJhcjLTuKZnl8QY77ZHuCGvjuZOD1lOB4gIF3boxaulq1gS2MqdA/phSnhm5HDAJGQYvF66jcu6dOaOge1Js9uojsZ4bWOAkvI6VKFyXa/BfFlbzjNnnUvUlBTt28UfCzugmZLMnGbM3VpJcXk0cW+qqH/7++j6dbx5bmueHjUAI64AU1r5JV0ymvHsWT+gOhpBFSr7j/iN9tdJNEXljfPz0ITApwr+unMVfx/5Cio2DGK8tu3PGPL0Cnv/bxIxTZ5ev4FJQ3qS7fKgIJKiasB6DmnxFA7DJOGIOIzXBV7VQI5VEnNZfbvELJN40xR2azpvbq5kxtnNUIXApsJLJbsoKbdqJ7T2eHlmxEhau73c0W8gndLSuKPfQF4r3UhxhVV7MBAMUhcL4bGlNZkS3MGbzlvnXgFEeKf0KbZXrqdzZl/GdLueqPDQuduPsKs22mgGLxZeTdjUMUyTWj3Cjb1GY1M0Wrm8zD97IhXlmzhU8gwP9x6D5myGHi6njc1AVbNoM2I8qjMNI1yN4WmecEQcpjIYwMzuhOLxk1FTi6N2Py8OuxJdgq28Ft9fFqBcc+k390BTpPgOcyqdEd+XUv4G+PDwDiHEI1hFLVMcJ9Im8Vwuif2hFL0sisiy47m2K6btxN7wulWVbplZ3PTJpqSwysNpGA5F4ZY+fZiz2IiHPtqZMLwPDqVhAUuNuvAh/rXkpsS+DLcf9QRCyWwKibDNw7TyaGipwIgUWM4IzQaqGk/TOEZkhNFgXrmp1mR0EPQgNOusYHNbDodmnQVfbjERFeDWBRsqDTplpowtxXePcDiMp9LE/vstyLIoRryvr3tDoG+3+mElS2CmIndPW7SjjI9NZTHaFRW/Ox2pxu2igUNCyRIEpeT5pRncP8qO2xFmhL85P+rSjUeXmIkx/v5RdrZWb8PryOZXi95LKALMHDqCqG7j1x9vTswXJg5tz9+3buHaXl0R0sYTq+tTSe4d2p6/bQmwrSrE79bsZtbwLuimjl0o/J8rG+ZsIlYWpVuWnVljO3Nv3CHRyqMRF4cErGhLicJNn81PXMtDeaN4edMyFu7bgd/t47nhP6OlRzRKL9FNnSs//DihBDa26y+4edGHDdr5KW71xAp/p6hHE4IspwMpNW5fsIU7B3SipUdt9Byqo5ZNKApkeEXCIdG2heCq/pLoIxuRh+eyV3el7p8Cswp215nUuQ3O7ZjJpP9EEyk44wpa80V1mLJwjB01lczfVcp1PXN5fO2mhPLbxMH9ebZ4LcUV5fjdblyaE0UYTaYE7wsGmbFyLTPzBzG6y9UADGx3GVM//yeB0D/xuzKZNvByVu/6OwWdxvKbFf8iy+7hlpzvM3P1ioQ9/XboWQS2/JM9uxfwxbZ/AVaxynZDpxFzeShd+gjhmgBOn59eFz1Fhtuf5JDIcPvRbE5LmlMoaH/8D2kV1YnPRWYaTf7hp0hxBvC1LV8IcZMQYj3QQwixrsF/XwDrvv4lnlkIaRD7w1ZkmfUmQZZFif1hK+IEPfxREyYu3t4orDJ6eB4gbQlHBFge7jmLDZD1q0GH6ubKgjlkuK0qwRluP1cWzMGhujleFGEwKS8rKV1kUl4WyomGeqQ4LQnVSUtJQ5cIk2M6I0wJpimJmpJAjaRbJTjTwOGtj3z4l1HDK9llCKzO7aMtoaYbTJHiW0aEFGLPbGnU17svtoZlJUvgvtlOxB37Ni8zxTeIT40yszA7aXycWZiNT22cXpDp8DBn6GUc0oJ4bnagZFn9nmUnDl7abIXQ378gSlk4xO39eyYcEUDiswva92baqsVJigCVEZNpy3YnzRdmLt/FBR3bUxUxmbQ4OZVk1vJD3NK/Ha9t2se+YJR7F2/DpjjIjKk4XtyZZNOul7Zzc9eMRKpoWLfC6K18/yEgzKRruWfZAi7s0Du+XcPfti9j6ihHsirHSAevlm6MH2MpgemmOKKdT4mm0kFPGqcquK1/H2Yu38W+YJRXN+1hXIGa9BzGF9h454sqZhW25C9bKvjRGAcZ8fH4ov4K6ktHzGVfi/dvNzhwZoAilEapH48uMRib044ZBZ2Yv6uUW/sM4Z6ilUnKbzNXruPqHr3wu908nF/AExve5FAo1GRKsGmqBIIhJhatRlHSObvbL+OOCKueWiBUwZQ1b3BO1+v5zYp/EQhWcU334UxbVZRkT3cv/4xeQycnqWaMypuKapgUfzCBcDxFI1wTYFfRE/xo+CNJc+cfFz6G25Fp/bheD7axP7QcEFiOCNvYH4I3VeMkxZnJqYiM+BPwLjALuKfB/prj0HBFCHEe8DiWZuyLUsqHjnLcZVhpIEOklCu/9lV/V9FlovM+jCyLgnFikRG6SWJicZh9wSh63BkRNWWTIXcNa0boehCbLvn56BcxTR1F0YjVVaDrQY5X2T5imnx+6Eue/F5HTAmKgPd27iDb0+aE7ifF6UltjcTpikdFwDGdEQC6Adsikj51Vk1Xb6v6yeZ6PcRHsVqGOF2YbqAcAttj7KqO0j4t9YYsxXcLRZcYTfT1il/ge8iFqUo+qNjJQL0F6Ti/patM8U2ix6qIlq1m7tljLKUIRXLwyw/QbYPAmSxGpghBe5vKIR0+jNVyzj0+FAOCUjJ3c4x3ttcrZKTb0hAoTY7xpqxftPfJbME13QfR2ZfJY2dlURczKQtbC8+S8jrSbA4ESpOpJNVRg5IyK5x+XzCKYYJi0KRN90y3MWdkNq+XlnJVz048M2Ik1dEIc4tXMnVwYdLxgWAtabb6SsZ/3LaGn3QdwKPnOjCkQBWSFzYU8/au3Q3OCSGOKKwdCNaip2oGnTS1ehSkPTGPLCmv45ni7fxqaFs6p7vQTZOwGeW8zhppDoW1h8L8sJvkrEI76XZBlqI3OZdV/IKw3SRmmLRw2ZpMwWnvdWHTwlzYoQvV0WhSQVWwnnfX9AzmnjUaTYFf97wAh5LBvro9Scftq9OxxSN5A8EQCho2xcf9A6+hOlbHH7Z8SHHlTrIcadhUJ/cPuhjDNGnhymhSNUMKG+ed+yJG7SFUdwYSiAnoVDCOPWv+QM2BYgDKdiyke8Fd/LLgaYxICJsvA7cnG0UoSFNCbR04Hdhu+SkoCkIAXg9CSaWUfhVftWYUQowAfgf0A34spXwjvr8D8CbWeyob8KSU8tkjzp0HdD4s7ymEeBC4FDCBA8DPpZRffoO3d8bytZ0RUsoqoAr4yYmeK4RQgbnA94E9wAohxDwp5YYjjvMBtwPLvu71fteRmkBk2ZM6cZFlR6on1knZVEErtz3JIdHKbccWb0cTNBn6qDX4Gk3zEtMqef2T6xIVga8smINP8x73dbhVlXx/K25euOqoqh0pzlxqq02yslWIWHZ49JoR1v91AzbXGPStA8UNNqd1vCElb0SqaIHK+SINmS5gD3yv3M4L68p5sLDVf+V+UqQ4HsLhMEJTmuzrY6rgordDtPQIJhT6cabUNE5bFEVj9YbnqFlxf2Kfz+OnY+uXmj5eKIhIBS9vMJlZd4hZhX6eW06jcbw8Uke2y9fkGK8Kid/tJcvh4te9C3mjNEhat/o31C09KuMKOvPXrbupjkVIszmaTCUpCyfPLVQFdIUmbXp/NMxPFizC73ZRWNOMu5f9B7AKAEqS7dvv9lIdizTY9lFnhLj8k8n4XZm8UDCOVYcOHXGOCykbt6OlFncnjU1RCelG0jyypLyOxz7/gtsHteSeohWA9ds/N7KQG/tnsaM6xlMrrRddvytQ6dKELYQETPjIsrUZ31ObtNFdtdWkO+HV0mLG9hrYSOHF73axq6aWcYtX4He7mJmfS1Uk2KSdVkUjiXMUIbhx0b8IBGvwu31MHvgD3t2zlAvaDeXGxX+Kp2ecw9666iZVM+yqihMnYRTq6vbz2ZKp1NUF8Hj8DC+Yyu6lc6k5UIzT50caMeyv/xVRU4391rsRcUeE3HeQ2Ev/RFZU10dEtGqRckQcB8e5ZtwF/ByYcMTpASBfShkRQniB4vi5X8bb/iFQe8Q5s6WwiaVGAAAgAElEQVSU98U/vw2rFuKNp/i2UnBq1TROhqHAVinldillFPgLlhfqSB4EHgbCTXx2WhG0K6g3dkNkWW9yRZYd9cZuBO0n9qgUJJPzOtDKbbXTym1ncl4HlPjAr6oxJhQqSSF3EwoVVLU+JDhs1PK3JROSKgL/bckEwsaRf69H53hUO1KcmcSiklAQXB6BODxfOUpkxOFJpW5I9h4wydTBl1U/eK/UQxyQBt9XfGhCJLKN2oUV9m7S2VeXCnVP8d2h0lD49/46tCP6eu3GbvxjtxW+tr9OMmeRxDBSUT2nK5qwc37hbHzx0G+fx8/5hbPRRNPP3ObKxOV1MXGYh1YejT9uKGfCcNsR4ziYRHl87SbGFShHpDfYqYrVMCW3gOt6DmbWskou6JTeZKj87QM68s6OXbT2OJiU17yRMtf8LyyHQCu3nVnDu1AdDbNFDxO5rmOSTUeu64jqsyVqO8zftQUgUR9CQySpEzycN4r5OzfEt308NPRcXt3yEWCF1C8IrGZWfm6S4ses/Fw0haR2HsobgV1JVco+WRQBhowyc3jnpHnkrOFdeGfHLqD+t9elZMayA7xSXMb4Asseny81iYztmty/3dSV2evqU4f+uC7GXcOTU3DGDRe8uLGESUtXM7bXQDLsGvcNSVZ4mTy4Py9ttOzISsFYhUmMe/MyG6UEv1Zait/t4qH8XB5f/xmBYE38vBqmr1nINd3OYdqad+LpGQVMW/0xL21czuRB+Un2NGNQLm6i6BiEohUJRwRAXV2AxUseoO3Aa62aESOnsHfR7xDnfh/bz28ET/wFXm1dwhEBICuqib30TytS4jRE6tF8vSqwJFax5wu9KrBE6tH8r9nkV64ZpZQ7pJTrAPOI/VEp5WEvp4MG69+4c2IcMP2Ic6obbHqA1MLlG+JUFrA8GdoAuxts7wHyGh4ghBgEtJNSzhdC3HW0hoQQNwA3ALRv3/4buNT/DnWG4J0KhcvH90IxJaYieGOPyahMQcYJtBMxTd7dEeDREd1RhcCQktdLd/Dz3tZvEzYM5u/axoxzeqIKFUMa/HHzJn7eq0uiDVPqTVcEPoH6FbqUSRriYDkkdJn6m4bTx25Phspya6zwpZ1YmoZyQKILcKVbExgpJR/FaslGowdWeK+uSUBQK+Dsch/vbqvhF/2afYN3c2ZxJtvt1yUcDuPRbQzyeThgg+YTeqEYElMT/G2XyStr6/vX/XUSPdVVnhK+izar60G2bvw7l4x8EqGoSNNgY/Fr9O03FmjcXwmhEJZRniidwy2Df0G6LRND7uT2QoXWrtaAyZRV7zCu32g+DRyiLBzlhrx6NQ1TMTBMydziJTw4+BKyHAfo43UwfRhURiUvb4ixscxaLAoE4wb0wZCSues3ceugTgmVgje27eDOQR25bUBbFCF5b9d2BrRoBUJlwvat3HZdB7JsNspiMZ7YvpX7s3vxzMhhlFau56acvtzSZxA2ReXF0ndo7c7k6bPGICUIAU5FcEe/Qm7vOxxVKGyu3MXVXc/n510vsVQytr7LmLYDeHrksHqlsANL6N2sK48NP6uBmsafGNvtSpqd0Mzpu8e3ZbcRQ2fG6o8Z338ET3+vG4ZpvRRwqpI7BvTmln69MKSBTUh8ho3ZuX4qYjrv76jgV0O9pNk1DK+CPq47NhPCQlLjtLN4T33Uy8ZDJi+tjvLIuQ721UXIcmncv2I5JRWVALRxe5m26jM6+TJ4tHAoCgoOVeHFDaWUlFcm2gkEQyhCMLd4Obfm9rWiedwODMJMGdoXu6KiCJOF+75IusdAsAZNaASCVQCk210EgjUEgjU8U1LEnf1ySbM58Lu9hGu2UG44sKPibNYp4Yg4TF1dAHezLvQYNp7AkrkE9xXTbsR4hM+PUBRMKalQDCK/uABbbRjf+8tgZ8ByTJyG8nJSj+ZHD22bd+DNu5rr1QG0NH/H7P+bPc/evMslQrMXnWSzX7lmPBZCiHbAfKArcFeDlIsHgUeAYBPnzACuwcoAGH1yl53iq/i2nRHHRAihAI9ihdwcEynl88DzAIMHD/6fnb45VcnIZjaK/hwhXCVxpgtGXupIUrk4HhyKwgUd2jFh4f4GlYXb4VCU+PeonN+hDXcuXpSoUDx5cH+cDdInFKE1WRFYEcefYqEJgd/tTHJI+N1ONJEKSYPTx26Pl/1fGmwu1uneR6PsYNwZkS5gb/zWv8IZURUxaV0LQQ+JsMZdZow9ZoyLRBpCCKKmwcbYbrrRkY0uyIlpLFkdRvaVjfKKU5wcZ5rdnirC4TChShvr3qjv381LbDy48QC/6JPFO1uTf8ojU+dSnDzfRZtVFI19+5azbdtbiX0ej5/+A3511HNsQqMsWs6E1fVCZX5XNvf1/jlIB1lONz67A7/bSUlFNb8pWmMd43Zy16DutPFaxyjCYGrvlqx/vd4W777YwW+Lo5SHJVuqavjd2o08ObI/5ZEo9xStrf8+t5Pr6IBBlFs++4xAMMjD6ZnYFQdlkSg3rFqfdKwmBOW1xcze9CyB0AEA5uTez4qyzQT2VPDs5vcAGNmyD2O7n8c9K94kEKziqi55nNemgAkL6pU8Zgy/GInBRZ9ckXT/97hv5vYVU5P2/ar7CWcPf+f4tuxWVQRl0SC/WPh3+mS05KacfKavLkqoS0welM/SfTu4qsVQVv+j3oauuiSTBzfspyxi8PhoPzcsqX92T4xu0ygtozwkCRsGD6xcy+0DOiUcEX63i73xNInz2vVg3GfFiVTfyUN68EV1bdKx1dEoxRXl/GbpQvxuN48XFjDl8wcpi1YwPucGbMKL3+1LREZY5/mIySh+dzqBYBVV0VDimOLK/dy97B38bh9zh1/IrSVPEggdwO/KZs6ge2nbbiR7di9MtOXx+ImUbWPXfOudqd3nR9GcCUfEtuoDjF/2BoFgFX53OnMuv5D2b3yGqK47LVU0jLqyRw47IgD06gAH3ryruf+nLzyipfsLvo1rklLuBvoJIVoD/xJCvAH4gS5SyjuFEB2bOGcSMEkIcS9wCzD1yGNSfH2+7b+AvUC7Bttt4/sO4wP6AAuEEDuAYcA8IcTg/9oV/pdxGoKtb1kdO0C4SrL1rQhO48RmpFIqTVYWltJ65Lopmb5ybVKF4ukr1yYVfHKq3ibVNJzq8deMsCswMz8Hv9sqwHa4ZsQJZp2kOA3QY5KP5oXZskHn3X+EWfpJFJdH4HLXp2nIo6y8DvvIdh4w8ZpgT6s/bqkeRANyhIN17GdR7ZdkBzsCUKnCTmeQ/gEXWw9EGjecIsV/ET1a74gAq3/fPi/GLb2yaOUVPDA6OWR56ig7di2VYnS6YtNcjBw1O6lC/8hRs7FprqOe08zZjEcHT8bvygasRfec3Iks3fkWH2x+llv7DGfuuo1MGdozadydPKQn6XaVp9Z/zu19z8Klq2x9K5Zsi/+O8Ku+NsYVKLy6aRuBYJgnPt/KQwV9ktqaVZCDJEptrI5Zwwrwu928VrqBZg6NyUN6NjrWrkpcip0H+9+RuO5/736fh4dci9+VGb+PTO7M+UHCEQFwSfs8Ji5KVvKYtPggMcOefP+DJ9PG3fKI32QSGcrxz1VSJJOmaDycdx5+t49reuQmHBFgFXOcvrqIazsMZd0/Yk32Z9OHt+SpNWVJz+7JNQe5v5Eyip1/f7GLmfk5vLPDeul9OK2itcvF2F6DmLlyS1Kq7/QVpYzt3T1x7Kz8XObv/CK+7WZS7gCe2PAvru9+DVP638Hvt/6dFza/wn2DzsLv9sWP8zF50HBe3fo6Dw35AX53Oq9uXsKUQd9LOua3eefx6IanE060QOgAE1bPoteQO5OVNUbNoWrD24DliOhy0aNobsu2KyJ1CUeEdQ9VTCiZT82FBaetioY0Df9hR8Rh9OoA0jT8X6PZr1ozHt+1WRERxcBZQD4wOL7GXAR0F0IsaOK014HLTvS7Uhwf33ZkxAqgmxCiE5ZB/Rj46eEP48Uxmx/ejhvIhNNZTcM0SHTshwlXScwTVMKMmpIsh8qEAS3IsGtURnVe2VhOLO5ssNInGlcobpg+YcZqiRzYnKSmUbF7OWbbDCw/0VcTNHSKAruZO7I/Jpb3672dXzCmQ/smglBTnM7s2m4QCcPAYTa+2KJTWSbp0EW1ohUiXxUZYU1eqg6ZeIDsuJiLLiUrYiG6CTuvK2vZSRU/C+ajx50X6brJglYHufbLDnzyQQXdrv4642CKFF+NKSV1IYmug1RMYiKGBHyqQBq2Jvv3zj4nwhFlZ3A/j5ybnQg/L48eoE53kcnRF6cp/ncxY0Fi1QcpuOBldGmgCZXYvk2YjkxwNq1YpSoa7bQ0nuj6C4QzHRmuIrTmz/yo97Vo3hZEpMqngf2UhSPcm9uTbLcLRYBNEby0oZgLO3QGVDSpEq5KdnSFqyRtPDBhTQkl8bz2TwNljB/YnWdGDUCXMh7VqKNLaOXKIGSYPHXWaFQhcKqC6qjO06MGYMZtOKRHCeomLncXdh34mLlDHkYIOzZFZfnBpTw+bGwiVdSh2PjdsJ8mtm3C1uQ8xpCCF/KfwjBNVEVBjVXhsfl4Mf/hxO+YYWjYw9XgPP0Wev8N6vRyWjjSeXnEZURNeHL4GJyqiikVYqZEERJVV47SnzmotRt8tjc56v2zvUHuzDV45Fw7hinQFEmdEaJvCzf/2LaJCzq24cfdO9LK7QYZQ1ME7ZU0mjnt3D6gK2l2G9XRGK9t2kVrj4unR+bS0uVFEfDrPn24tW9f9ofKeXfPYq7sNIo27uYoQjB94CRe3vJHntz0BM8WTuXL0CGqY1U8tekpiqtKuaLTpdzZdyRpNg+mDDNx4HA0RaO1KwOFCAsPJGcVBEIH0IXCWd9/EpfqwijfSWT532jZ42LaFY5DKDY0xQtSgICoaSQcEYk2glXorbIQ7vTTsnilUNSAlubv2NAhoaX5EYoaOMZpX8Ux14zHvB4h2gJlUsqQECITKAQei6ttPBM/piPwtpRyVHy7m5RyS7yJS4FNX+PaUxyDb9UZIaXUhRC3AO9jybS8LKUsEUJMA1ZKKed9m9f3bSBUcKaLpA7emS44gcwIANyqYELflsz7JEZlbYwMr2DC6Ja44pXZrfSJxhWKG6ZPKKqdLWtfILR4WmKfy+vH3z5ZiutYOFWN/i1acvOnRUekg3zbfrAU/2327TXQNGjZWqFFKzu11ZK0jLi9fUUBy8NRjKIaDjmgjc3aUWyEqcMkIL6kkmo6GBKP6aTUs4dzaUuzWIyQTbLeW03P3V5qKw28GSkllxTfDKaU7C83ef29CJW1kgyv4KLRCq9s38IvcjrQVrU12b+jSnQkinBy42fvEQgG8bvdPDSsAJ+WkvU8bbF5qGjWmruKfpMIAZ+dO4kM27EX0KpQ2b9oNuEaa17fqscleJ1ZxIJVoFpjeUlFJbctWgpY25MG9+Xc9l2YuXIzgWApzw/LxZmuNbLF3cFgwhFhneskJk1uXbg2SRFrc2WA7pktmVi0KjG2P5Sfi10R3PTpf8hyOPl1nwGJCEzrDfZIniou5tPAl/jdbmYNy2fuhrdYuL+YCb0vZUBWX+5ZuiRh/8+P+H6T8xi7MLnu0/cSKQMP543Cg8qSd36ZUDcYOWoOmqfNtx7++7+KQ/NSo0tqYhHuXbok/jwHMn3FZgLBMCP9zZmc07vJ/mx7bTVZme4m1S02VtTy+NpSJg/pQTuvk3GfLSQQtJwW/961A7/bze+Gj6AqvBvdDOGyt+fXfTszfcWmBmkaPTkYruKv25fyy+6jmLhsacJmpgzO5YpOo7ln2acJ+5iSW8DVna5i3p63QESYunZ6ItIBoDxSyaPFbxMIVST2+V2Z/KbfRXTwZON3ZScd73dls7dmK39fP5tbB/8WbeEzRL8sJrJzBa1GP4zx/HxiDZQy7IqaSAVJtOFOx65pp6UjAkD1ZI3P/r/ZDWtGkP1/sw+pnqzxJ9vm8awZhRBDsCQ8M4GLhRAPSClzgF7AI0IIq6AYzJFSrj/KVx3mISFED6ximDtJKWl8Y3zr/bSU8h0pZXcpZRcp5Yz4vilNOSKklKNO56gIgLAWo8ulqjVBxerYu1yqEj7RUF1TjQ/g1iBRWSuZ90kMTGshZlcFM4+oSD0zPxd7AwlRhyuTvHMexeW13ia7vH7yznkURzys8ng4nnSQFGcG+/capDdTEEKgqoL0TKW+hsNxFLAUEjxRCLnr9xfFgtgwKRMHGRPrRMy0JtEb0qyQzTRdUCVbsKD5JoQUfPZ2+Td0dylSQF1IJhwRYPW7b39icmmHdty7pISoLUa/yx1J/Xu/yx1o9hghw0wsxAACwSD3LF1C6DQsbpbCotIMc9eqGUkh4HetmkGleWzhMJsrkz5jHsHps8bmdgOuQUqdFR/fjc3hY/Lgfo3UB0xJ3BFhtf1E6ZZGc43+l9vxpalJaRYPFfThic+3NlLEGtqyfcIRYe0PcU98OxAMcnWPXo3G/nuLVnFhh07x7SD3Li3ionZW+vhZrQY1sn+piybnMYqpJqUM/GbZAmpMmaRusHDBBCLG6alS8N8gZAp0E+6NP5Ore/ROOCIALu3QjnnLovS4OLk/63uZnSc2l/D42nXMLGyZpG5xb14Wr236IpFqETVlIs0HiDuoCjCkjk1RybB7aObwJRwRcDhNYxOqULk155yEI8L6LMi0lasoj8SS7GPaqiUEQkGu7PhDArs+ZnbupKSUntauLB4Z8ouklKH7BlzOC5tf5bENL/HI4PuSjp/W7zY+2PwKZcEAT668G63gWmuxff5MjPdXA8lKGZkOD4/kXY7fnR6/z3QeybucTMfpG7UjNHuRvXmXS/w/faGo7Q1v7fD/9IWir1m8EvjqNaOUcoWUsq2U0iOlzIo7IpBSfiil7Cel7B////NNtL1DStmnwfZlUso+8eMvllKecEpIiuMj9Xr6O0bYNPk8WsXoq7PBFKBIPjl0gAFm0yGbR8M0SQzgh6mslZjxeW1Q1yn6ci9zRxRgSmFVxN65PSl9QgiFtGZdGXHxHzDNKIpix+HKxKorenzoUpLbIouf9eiCIgSmlLxeui2lpnGGEYtKKsokXXs1HZUgIhKpYemJNYGqgMOw3NlxtS2qTYNiI4yuVDDEaEOVupeskDU5N+xriCnDSY+ZCOnmkHaIRZm1jNrpI1Ci489JdX0pTj2mKbk4347bIQhGJJ98HmPPQZMMm51AMEzQMGmWESP3GgfSsCLhNHsMp9OJXlvD4ObZ/Kx7n0SY+uubi9FlyhlxuqJLPemNK8RDwL9CsUoIBY/dz8CBMyE7E92mgmmQM2wcUSl5Z9fmhPqAEFbtJkOKpELSxRXV3F9azGNX90dIa66BXcdlaDw5YiBuTaDqGtKASf1zuKhDGXcvLbGuMRjGOEqqZ6bDzsPDCunkS+f2/jm8tmlrotBgIBgizW5vcHyQdLu1IJPx7WSUJucxUiaPE4FgLbppkv+9Odgc6cQiVWxe9wfME81vTZHAMCV2VeOOfoNo7nSR7XQxPc9DK5sbVSooCqwLRvnXqihnn2/H4xDURSR44ca+PTElZDgkc8/2Y5iwty4ExLi5X9d4qsVODAlLArt4esQoTClRhYJDEewNVZLpbBNXgku2W7Dsr6UrHYnRyGYCwSCuIyJvA8FaXKqGYZosWT2ba3/wfn1KDwo+3cSw23iu4CYC4UNUR6t5d8/7/LzrT0izp5Fuy+TVgkcJGSH21Gxh/obH2V5hvVQvCwZQW3an1VW/p/bQIfTLhqDVRnG9vxa5MwCGiSIEXdKyeWXEtURNA7uikunwoJzmBbWFZi/6topVpvjfIjUj/47h0xSG+rKZ/48ItdUSb5pg1EXZOE4wMkJRIMMrkgbyDK8gLqaBQ1Xp36INN3+yhX3BKK3cdibntcehJi8WhVBwurNO+n7cqsplXTsybtHyRKjmzPxc3GoqVP5MoqqigXJGU0Q5alQE1DsjDKCdz2pjmV6HCXgJka935HnPp+RVnUOtGqQ3/8RQbiIjpiAQCOx8mlFJl5BAeUeS3saNO+NbDwxLcRoR1nViQcHaBdFE333h9x18WhKlMhZJqApUmTG8SgUr/3QRTp+fgZe8AE4/blXj8s59mbCwoXJAX9yprvK0RRNakyHg2nHkZQqhIA5FqM2uZeF7ExLpCWdd+DcuaN8zSX1g6tCeZLsdjZStyiJRVtUe4vG1JTwzchiVQbh38TaGZPu4rmN7PppfPw8ZfVEWvx2Ww91LS/C7nahNpHqO8LcENB7/fGfiuycO7sWzxRspqahMqB4k7tXtRo0vyBQh8LvdSYtLQxpNzmMQyQ46v9uLpig8u/ERyoIBstx+bhzyAIpqJ8XJ4VTtHAobPP75Tpo57UwY2I20qIv/zIslbOKiMQ7eXh7lDx9ZoY0ZXsFVF9lxazYmFW1I2MAzowagKjB92e4G882uOBWFfs1b8etPFySlpr1a+jkL930RV7L4YZOKbBLJztqKRjbjd7sJGXrSvfjdXkKGjkDF5/ETrtrFnqInaJ9/KyUbXqdzzk9487MHGDXwLqZu+j1Z9kxu7nkDD37+BoFQBX5XJnMGX0NLu5O/r59NWQOFuSy3H7vmZl/4II9vGZ+wv9sun0n2+55EjqkiBFnOVEHVFCmaIjUb/64Rs7HgbWsCAFBbLVnwdgRix1ipNYUa40dj7NbAjTVI/GiMHVTLqWGYCtOX7WJf0JoY7AtGmb5sF4Z5ak0iapqNQjknFq0iaqbe9p1JVFVY9uzxHcUZEZHHdI0qAuwm1NggU7Ns9KNYFZIw5+vt2aHtpg5BmuEhou4nQzeQwsBuqCDBLn2YSjX/zC5DN01W/SlMpC4VnZPi1BEJCT4+ou8u+jDChcPsvLVzN7MKcvCpgkzFhk1Lw+nz0+fcOWg2KzQ4aqpMWnykcsABombKG3G64hNqo5Dx2bmT8B1PkSivB31QWxYumJCUnqAbZlI4fSAY5oHlm9hXF2bi4O5JKRgz8q3IhUAwhETj3sXb2BeM8svubVkwP9mWP3k7Qv+MrETNiOX7dzVK9bytfw4Ti0qSvnvmys1c3bNr4kVEQ9WD+wbn0txpheiH9DpmDctPCtmXaowfHzGP+fEYO7oSwR8PkfO7vTyUNwq7IhKLxLJggGc/n0pUpPr4kyVmCu5ZYj3Lq3u2JxyEovf0JJtY8kGEc3KtualVH8fG79YepDJsJtlA1ITpy3YeMd/ciURhxqqVjVLTLuzQO75dw6FwDZOHdDtCka03j69fyEsblzMpNzfJZh4alk9rtyfJPqbkFuB3uZGxKr6f9wCKadJ24LUsWjyVjt0u5s2VD1AZDLBi4ytM73cb13e/JuGIAAiEKpiw8lXCpuTWwb8lK64wl+X2c0v/BzCNGI8vH5dkf0+UTCR8ecFpqZSRIsWpJhUZ8R1DGuBvqzC4vw0VgYFk5doYJxqpGzRMXv1iKz+/sDOaUNClye83b+Xa3lYahm7KxMBwmH3B6Cmv5aBLSTOHgzv6DSDd7qAqGuHV0o2pNI0zjOpKy4DdnqadESIC2I4eshiLSewmVMZr+a3VK6mWCi0x6GBm8LpjIUL68OpuDPtaWoY0UKrRzGycEiIyC6kcpErL4t3OK7l4Wx4r/xQi98dOnL6UTzbF10dFkjfCjt0piIYl61bGOLjPRAi4c2BXfIl6PAbh8k10LRiPzZGB5rSMWjehuUNlSk4LsjSNMl3n6a3lpEpGnL7oepC9G//EM0PuRyoawtQpLfkDrfuM/cpzhSIwTT3hiGjevC85fa/FQCEQDHND746c16ENqgCnqYIJhjB5YdQQIobAkAZ6vFjPw8PyMQ2NOwd04tVNe7CjJBadAC1aKgwZaMMdFvw5fwi1jgi+bD9V0TC/O2sIqlCJmQa1sSgXd2zFeR3aYErLifzezr10TU/j9gFdeGPbam7tm8tPunWmKhbkqZL3eXDwpfzre5NBCBbsKmHuWaOQSASC93Z/zoXt+/KLSzxIKRBCIrQYc0uW8VjB2ahCwZAmr29ezS96Jiu+lwUDGGZKFvdksRTXwuQ0S6Nzmgef4WBNdXK6RG21JNMn+NmlNiqjOo+u309JeYQf9bQcATmZaVzdsxMKKrPyu9AWBzapYKqSGnsME8mThWezP1TD+oMHOb91V2yoqCpc0q4X83ZvxMRkbskCbh8wlDS7k+poGESEhfssp9YzJYu5o/9g0mxO/G4vbiVKWMZ4YMhAshzNrVQPory85Y9c1+1KAsV/od2gmzGAwaOfJN3p5QdDpxGKVrF40x9YsfZxxuTNSipmCZZDQldUmitp3NVlPNKdjqrHcEUkYU8sKVoCLPvTNXnaFqhMkeJUknJGfMew2yR5PWzUPRLBLJMoWYK8mx3o2okt3jUhWHmwgn/vXJzY53c7GSs6AGBTBa3c9iSHRCu3HZt6ajtOh6JwS5/BzFlksr9O0tLjYkLhYBxKyhlxJlFVYeJyg3o0+4pK5DGCf7aUWfai2C3FgtejAcDHeXo2ZaKC3Wo1ipmOx3BRq+xFC7YlaAujmdBMryVosyPUSgxgGZXceBbsXSRZ+nKYQVc6SPOn3j6nOHnCuk44JFj2aX1Ye+E5DjZ8HgUFpDB44aMf8fPRLyIkrJl3Q32KRhyXArO6tkQ8F8Msi9E+SzDrVy2Rqb7ytEURGnsPLGfTF28l9vk8fvLEDcd3vqLh8fhxuZozYNDNbNrwZ3oOG8q4fl3p36IFT6wu44bOzVn4Qb1dDh3j4JG1UcrDkulnu7itz2B+u8hkf12Ylh6VcQWdMYSJN01QWy1p0VJhdK6d2IsRquNzEt8tDpTmMX648DX8bh9PDr+UO5Z8yNzh5zLc7+fWjwOJVKOZhX5cquTuZfPxu30U1rTl7uVvAFYhP10aXPGf53mh8GoGNO/ErxfVq2RMyc1nX6ic65Y8kLjneWdPZWXZXv79n3qVPcWEZY4AACAASURBVL/bx3ViSNJvk+X2o56oDFmKBJoQjPBncUW3dry17Ut+1qlTwiYO400T7A5GufmzLxP7Wnk0QrpOTmYaN/XtwaxlZQxpoXNH6yxCcyNE4jaUdrODL30xni3Zy439/FzYIosFb0aordbxpgmuv3AEACFdpywa5O7l/058x2P5F+F3+wgEayiu3J+wrWcLL0GvDVAVq2LyxucbpT/d1OVKnD1/wnVL/kIgWIXfnc70gWNYtu4J6sKHuGTIVD5eP5ea2j34XZmN1DV21O6hzuElY/NnGIe24xl5M/vW/pnMkbeR5fY3St+wKak0oRQpjofUK8HvGFpEoW6u5YgAMMskdXMjaJETe1QOFWbm5xwR2paDIz42K8DkvA60cludpZXD1+GUG4SUtoQjAmB/nWTOIhN5rJVnitOO6kqJ23sM64pwzJoReytMJOC0w3/03VSbTppLaI6DVfZihPTiMWwoKGyw9eDR1j9mh8uNZoJD6qTrJjE0JDrCzGKjeze9zrUjpWTZq2EObNGP/uUpUnwFkZDSKEVj0UcRho5wIG0x0hSNKwvm4FTTUA6naIyZnUjRAPBFlbgjor7vF8/F8EVTw/TpisuZxfmFc/B5rLBvn8fP+YVzcDmPr06T09WckaPm0Lf/9RQtfoCO3S5m3eaXGNG2JRMX7eeHHdJZ+UEsyS6XfxDh2hwb++skB2qJOyLqx+dHlxgciOmMutCBN00wZKCN2IvJc5LgU1HcYRt+t48pg87GJhQmD8pHUxxMXLQ/KdVo4qL9xEwVv9vHw0PPY/6udYDliHh4yA95bYslPxoxTaatKjpCBaGIFq5mSSoHCpKH887D7/bF2/HxcN55eFUtKXz+tiFz8KppX+8BncH4VLhtQFdmrtzExR3b8/iqKEPGWDYBxOuIOEj3iiTFjBnDs8lwKozt3ZlZy8rYV6dzY5dmhI6Y14bmRsgyNC7s1ByPaW+UnrxwfpTruw4n0+7it3nnJz1vv8vLtP9n77zj4yjOPv6dLVd16rZ07lXGvclyBdsYTDEdk/ZCIKGHFoophuCQ0GsohtASIOFN8lJDL6YY427jJrnKvZwlWe2ka3u7O+8fJ591lmxsMGDwfT8ffz6+2d3Znd3R7Myzz/P8iieklN1bMpHl616g0ailfMnT3NP/6pTwpweHTiUaC3HL0o+SEpuBcD23LfmIYb0vpS4c4K2FdzC278XkOTN5cNgFraprXL/4Lhh1AZkjLmDTJ38it8+pbJ/zGJcPnJba/0oexuc8cOW5NGmOZNKeEYcZwgIlE7y/0FG8YIcg8p6JOMik0CEzzqsbVvDw0QNQhIItbf65djm/Oao/ObiJ2TZPLi/nmsGdyXToBI04Ty4v544RvQ9pe+I2yYnObipCknja9fiIItQoyc3f96JKxEC6Wt9mS4nVCDEFDGnxuhlA0AFLNPIfvYYtigG2h4x4YmIS1Ovpyjs41DZoVj6KkIREPlLZiGLXo8gcZtSsYXyPnvQ50cnazw2WvhKj7yRJ+4FpI1maA8eMx7EbJBmW4LRJDholhBpJhmhIAY2mDaKOfE8nLKMWIWHQac+i6znJEI1EZSQn67uxqyWk7WQ/WTTNQW5Wd86a8By2tFCEituVh6Yd2BdVVdXJzumBI+TD7c7Hl9WVLWtfpK+dMATkODRKg6mhCo1BSbZDcFI3ld6ZCk8c68KUkpdWxtlcb3NJL40iBNJhc/LPHDgjCsFW+qViCe4edgIPLZ/FtKETeKpsLn8qPi1piNjNzpCJZcNjo07GqWTw+76ncEN/cKs2m0LVTOo0gDGFPfFozqQhYjeBcCNIwTOjr8CSNqpQUIWNbdfz1zFnJstqYzsJ2YIpo/+NKUETkKWqaBET9vFeSbN/QmY1TpHPHb170T4uOKeTyhub4hxzrINsh6DOkEivRJpmUjEjkavR4rmyABf37cZNA50UejS8tN6HPCh0y8zAYad6XECinzrReHD5F9w17HieGnMathQYdpx/ls9gQ+NOfj/geDJ1L353FgvKHmPppjcZ2u10BLB14aP8ZegVOD2FuDU3NjaGpicNEf1y2vHrniPJcrjJd7ppn9uf7TUryMvozLwvbmPkqGk8PeoyAtFqgkaQ6aufobR+DQCmpuNo2wujIYDqyqR600yMcDVXD70exZWFHa2nrZ6DchDKc2kODCHEicCjgAo8J6W8d6/txwB/AQYAv5BSvtpsWyfgOaAjCQGfk6WUm5ptfwz4rZQyo+n3dcBFJN7CVU3bNn93rTtySRsjDjccNt7JKvHnKjGrLUSeiveiNkiHzcE4sjgUhUW7Ary9ZV2yzO/J4FJlIAC6IqiJGdw8d0Wz7S70Qxzfpgko8IoUg0SBV6Clw+iOGKSURMMS1/4mhTGJdLTev9dEbfINiOiScqsR285BwUYhQo2IIGUOCgo+MxuAPvY/qLc30+DcjmbHKYjXsN7RHacVQ4p6LDuPpfW7EhJbbpWjjnNQ/kWc0ncNdI+gbc9vNixKwwRVQajpCciRgBmPI3fYWI9XJcdqzyVtWLraZugoRzJEQxMCKVS++O/PGTPpWZQmWUJt7z8IDZQ8kWKQUPJE+i39E0fTHPgy/N/4eFXVUVQHg4dchRGrY+zAq1CFpNCrUWuYrbrWK5rk1z11Png1mgzf+O1pDvSghfpkJfGm/qxflY+drbXaL21VogidQbmFWFJSWleBpiS+jjc3SBR6NVQFGmJufj97bVJN4Z7R3VlVu5OHSj/G78niqVHn4fdkpBgkdqtkPPDleUmVghuPfomwpXHLl28QCDfg9/i4e9gE6g2dm+fsUe26d+Rgurld+3O4S7MffFoeeqVCxpNh4tUNdM9T+c2lbZhWZrCyWlLgFdw1QeP62St49JgBGHYcI26T43QxuXtnaFQJLrPoMEilNmajt9KHIlJy88cGjx/nbLWfRmWc6liYytAm/rF0KjeMfoHL5/81GT4xZeFz+N05/LnPeJZuepNsj59Qw3YGDbmCjevfxyVh2dJH6HjUeUxd8RjX97kCvyeLPKeX3/UZx5+XvJsM1/jzoKmsXPM00o4TjeyioWETYaEwbe0LLcI9hBUnZDSS1W0sVjSIy+enobKUhvenAODy+Sk888Xv6UkdOQghVGA6cDywDVgohHhLSrmy2W5bgAuAG1qp4iXgLinlx0KIDCD5WVQIUQzs7cqyBCiWUoaFEJcD9wM/P1TtSbOH9Kz5MENYEH+uClmdcIWQ1Rbx56oO2jNCCJHIILxXRmGxW0YLyW3DUjNr3zasCIVDG5+sqXFuGCMoaEpcWOAV3DBGoKnpxFJHCtEISAlO134sUAb7XHQt3GXjkFClR1BtBVV66GM6OTvSDVtdhxQBpAjitRIVRGVnJlbkUVKrkON6m+vWrOD8baUgfRhNl2BbeaxoTMS5qrqgx1gdb65g+ZsxIvUH57Zj76wn9vhHRG/4F9Eb/43x+kJkPK1v/1PHbpCYj6eO1eKZKvoVqckQDUU3mhQ0MiiZ8ACKlgmqjqbntqgvpoPjYmfCAEFisu642EksvZpK8zUIYM7saRhWjGeWTGPB1n9y95gCXt9cT/FEPcW1vmSikyxd8NleahlmrY36ZGp/th/fhbBsPFc6Uvql50oHYVecW+bN4Zzug3h53RL8Hh+6gFuHt01x2791eFs0QVKpAxLJsm+ZvZ5jCvsBCXd5hGx9zgIpKgW1kVr+/NUsAuGGpmMbqDNsbp6Tqtp189wl1FrpcfibooQ14o+l9gfX01Vc0kujwCv44zgnb2/awtTiIp5YvhJNqNTFDAIhg2gEZr4bo2cfnS9nxJi/KI5+UerY5r7Cyd/WxakISR5dbDD+lNQQkLGTHLyy9Sv+OHQcugpXlTxE9aYZLcIn7ho0mYWrniXb4+fM4mmULX2WubPvoHe/8/hkwR107nY6U1c8RiBSyQvl/8ttgydyUa8xSUMEJPrfH5bOYNzgW9i45r+MHfcA69e9zYblf+feAb9vEe6xcfkLfD7zRgrHXEPNyrfpPfZ2XL6EQdHl89P/xIfR3ekQDdsyRsYaAnNidds2xhoCc2zLGPktqywByqWUG6SUBvBv4PTmO0gpN0kpl9PM0AAghOgDaFLKj5v2a5RShpu2qcADwI171fXZ7n2AeUCHb3n9afZB+pvL4YYpk4P/bmS1BQf5To1ZJtNL53DtgKFk6k6C8RjTS+fwp2HHJ7bbFk+WLuGaQX3IdDgJGjGeLF3CHSXDD1VLAIhYJk+UzeeS4QPJcrioN6I8UbbskJ8nzeFLOJR4Jzjd+zBGWBJh0mrOiKq4pKpOAoI63cAt3UgE/UwHW7QtNAgHCjpS1tPZKscUndgUP4Nr1w9FkRLD6M2GvB1M3rmWrhEHN/XzABbCzmXWxrkMHdgRAFWVdC+xKP1YofSdGMW/ciUNd/vD3lJN7ImPQYAyrCs0RLE+X42sCOK4ZHzaS+InjLBodaz2OBKLOwRNpl0L2wziyuiE0bAF3eFDy2qZE8AyBZ8vMhj2WwdupyASk3y5yODok9NJ0NLsH9syCIUCCFWnOhzgzTXTuavDJK4ekocmJCec40Q0OVcaikSPKy3c4p1q6/1ZWPBywxp+fnMRqqVgqTb/G1jDsTkdCYTDWFIyqXMRY/wdiViSvy6r5urBeWQ6VYIxi78uq2bayLatqnc1F+8ybXu/c5bdGLaVNETsxq06koaI3QTCEeLp3K/fGMUCq5X+0CNTcGmJRYYrTv82Gfy1dBVltXVcMaA3Lk1FSAWvqtIYjONwJbwdGoOSzxbvGdtcmYLpqw3eW5+of/Y2myuGS449W0WRKkKR1Ml6zuh2FLct+TN3D5lCllTI6zQWCTxw1HhUZzbCNsh3Z5PX/2qMWD1li6dTvSvh7auoOg2hALozO+nZUFq/humrn+SPg25JGiJ2EwjXI1E5qvfPWb7sWbr3PBWnIwshVf424j4M20CRFhuXv8iG9U0JZ1WNTmOnIIXC4NOfAylRVAe6OwdxhIdo2JYxMlK9/q0N707JNxoCOHz+Lt0mPfCWO6/7aYrqmPsNq20PbG32extwoIuJIqBOCPE60BWYAdwspbSAK4G3pJSB/cz7LgTe/0ZXneZrSRsjDjOkJhB5asqkQOSpyINMCq0qSiID8fz3kmV+jw9VSQyQqlCojkW5ad6XzbZ7UA/xAKoKQXUsyo3zP9vrPOk4jSOFSFOIzj49I3bPUVsxRjxVHaGHodKomoTUGD4jg/aWSraEV71zELIApAeHnU+j1ZtM4vxpzU4iqsZ/cwfyq/WdmZffgY9zq7l681dcthH+2qUBRWYzK7acG/9zH0KoKLU78cRjdHMfQ/mmU6lcbVDQ27nfdsmGKLHnPgddRT+7GOFzA2D5s7E+W4X54Qr0kwd+w7uW5rBnH2N12Eh82ZOKJGxZuAmiGxHWfvkA7fuchcOV3Wp1QoVIRPLeB7FkWUam4Aif06Y5AHarasRj9cms/lWRHby08T1O6VRCpu4lx+llQcVqStr2pY2S3cItPmaB3kp/tlVYWV/L+NVvJMvH+ttxFr34cMLZICUOt8baujJ6Z0GuK3WykutSURVaVe9SFcHTY86j3ogkPCBambNoisLdx3+azA8RM8NJJYXdRCwDv8edYpDwe9z7U4tO8zXYKq2Ob2sbwjyycjMPH9OdAreL24YNImJaOBSVAreHzQ1RhJXwxjGiMtnPqips3vsgRkamoNdxjqQhAhIes+XBSq6Z/0KyzO/J4tr+JVQbteiohIQTE4kqJA07F1FVuYR+fa8FRxYyVsuqFY8lDRFerx/biuPz+onH6vC726YYJLaHd+D3ZKUYJPyeLHQkwjTZuXMB69fvUbgZP+ExFsy7Jymju/scqubC4T6wZLNHGvFw9UO7DREARkOADe9OyS+a/OxDTp9/1A9wSRpwNDCYRCjHf4ALhBDvA+cA4/Z1oBDiXKAYGPvdX+aRSXqac5hheUz0q9og8hIv9ETcZhssz8FlMctR9FYzTucoiRVfjqpy74hR+D2epu0e7h0xihz10Eph5ajaPs6TtoMdKYSTxoh97BBNbJeO1JnjvHCMtVGddobNFncdHulFkwp+avi370UMqzeK1RnF9mMKBTchetcvp300zr1FTircCU30DNPDh238vF7oYfIOg1E1teQbufgjw/k/7/F86DyGBR1Pp6LPybTJq8ZtVbH2v5XYhtHiUptj/GsuNETRTh6YNEQAqP06oBQVYs4oxd7VsJ8a0vxYMS2LRlvApaljtbykDaVrLcaf4gQ9Tqaq4lIzWb/gCboMuQh3VucUBY3mOPV4C1fl8ac4cerpkLY0+8flyWfcuAfZuu5tLh04jUGFY/E5c7io6EQeWTGTy778F29vWsGgvD5cO+czlgS3c+yk1L6m5SjYv0vtz8pV+Ty3dR0X9u7HMf52QMIQMaXHCD58xeD1F6J89IpBuE5heJveeFXJb/rl8NiSaq78ZAePLanmN/1yMO1G7hndPUW9657R3flixxoum/UWf1kxD0Uorc5ZTDvOpbNf5swZf+XS2S9jC72FukI7j4f7Rg7F73E3lSVyRuQ40jFO3xTpsdGuyk/pD+HLcvnfHVXcM7o772zaTGPc4rpZK/jtJ1/xu8+XUhUx6JjhJCsDxk1ysm5lnDHHpfazo0/WcHjiKaG7Nx0NhR4dvycLSBgGbhs8kbe3fsDjJX+mNg6XfPkWZ378v1z65TvkF/2aoUOmM+/TIl5/STJnRhcGD/wLefn98Xr9jB3/INvWvMVxJdPYvOG/3L2XskaOw8sfh5yUcr77Bk6k6r3rCMz+C+PGPYC3SeHG6/Xj07IZN/rOlLLxxz6Cy5UOxdgnluXfbYjYjdEQANv65glyYDuJ5JO76dBUdiBsA5Y2hXiYwJvAEBLGiR5AuRBiE+ARQpTvPkgIcRxwK3CalDLWsto0hwIh5U/Pj624uFguWrToh76Mb0R9g8W2dXGKOmsJN2AV1m426dBTJ8t34IaCnaEaPg+Uc7S/F1KCEDArsIZx/h4UenMJhCuIxk1cWnbyi0PUrMOla/g9BYesPYFwAw8vW8CkTj2T4SDvblnHdQNLkpOJHyHfyfeWH3O/3R/LFhgsnhNn4hlOVLXlrRMBG/1pA3OciuycsI82WDZXbougW5KrtjuZkbcOQ2lLv3Amz7WbhSLbIJEg6kHZgUt5h59tvY1zNyyj0VPOs33W0lA7hVuW9eLTnvBMuyCKDU+s+gxfXOfpHhOJqQqKEkdHJ24rgKSHWM+Qxs0EIhPo32EB7c4f32qbrBVbMZ79HHV0T9QhXVpsl41R4v+cg9K7Hc6Lxh3Cu/mtSPfbQ0R9g8WHr8Rwu2HYYI0Mt0BzCSyXwFRA1eMIQMWi7L3fEawsxeXzM/j0v+HKaNtqnTtDjbxavoXJnXrgQMHA5tUt5Uzu0YlCb8b328DDi0Peb3+Kfda2TSLhKoxYPTFXFuWNFdy/bHby6+9/jr2Ma+d8mkwQ+WDJsQzObI+0E943cc1GSvAZEjtuExU2T25ay1ubt+L3uHlq7EhMaeOTLj58xWiRbLDnRBN/josrPgm0SGD54Lgc5lcuY5x/GKYNmgIzd6zhodLmnpk+nhlzCrbQsWwbVVFwKoILvnixxRfs58acR1n9OjL1LILxet7e+h639P8dtu1IqmnIho34MtrizSj8rm99a/zox9pAuJYvdpRzZu5AhAW2Kqh3WFgCHlm6gpO7dOTRpRsJhKPJY/weF38YVkQ7r4+/LK7mrM5ZFHo0XKpCzJR4nLApVo1Hc+BRPWiKhi0NKmI7eG/bIib4B9HZV4AqQGAisLFtlctmv5fiCfN0yWTWfehr0QdPnqwglDqcrlxMowEpLSxspFCIAJa00VFRhIoZDWE7vNi2jVW3iYZ5jxPZWQpAVrex+MdNQSJRUXDYCkLViQkLy46jqg5crp9kKMYh67exhsCcta9ePLK5QcLh81M0+dm539QzQgihAWuBCSSMEAuBX0kpy1rZ9wXgnd1qGk15Ib4CjpNSVgkh/g4sklJO3+u4xmZqGoOBV4ETpZTrSPOdkf48fZghLZj/hcX8vZJEtO9+cBZ+S0oeKp3BQ6UzUsqPLuzetN3CxiKR4yUR029jYclD+w61bMnMwFZmBramlF/Tf9ghPU+aw5dwSKLptGqIAJKeEZZDsjgaZHaknsWNbmyZSTuzEihgqyODXEtBRaDaGVhqDYIKbLUeoZTToDYwvLoGVcK8jsvIEwGyI4kvyroFbax6OhgdmFE4hgs2zuSouq/4SzeNHBby8qp3qRFeSn0nsNRzDpvcHRgZCbJhi4vcFbNx9R+dcrnSMIm/thCR60UZ2KnVJokMF+rgzlgLNmDvrEcpzDpk9zPNYYBNUyw0vPfBHs+Fsy5w0SiinPnBo7xx3OX4ZIhgZWKCG20IIK19e9uYEpbsqqFffg2ZDgdBw2DJrhrO6N56H0uTpjmKoqFIWPrK/9B18ku4VU9yEX9ax4G4VQ9PjJ6Epggcik3UktTJCOtDtby0djmltVUAvHrcWViKjioUfllUhC3hnS1bMaVEERLblK3KMHpVDdOGPKfKNYPbkOnQCBom/1xZg0M4aTQjmDSCYmBKT4ohAhIfLiojlTz85a+SZX8+bkarsf2GtOic4UcVKjlOD1m6D8OO4SSKwEZBYfvOBXi7nfhd3OojAsuWfLCtjFGFRcQtmyyHG9vSsS24uv8gDBlLMUT0zcnk2kE9yHO5sWyYtT3MrO3hlDr/Nak9DfE408sWU1pbxUvjT+LcWfclt7+1dQGvj78JGdlGhiufaGQXlqdz0hDRL7uAX/caSid3LkuCqWNpY1AipYpD0VFVDc2Th7QlNIbAsshQVcjwIhSBXVuNcc89OC67FkOLsXH+4+QOOz8pyxlZPwtVAggUVUfxJgwP7mbnk9ImHqrGtgwU1YHm+UkaJ74xuifv+m6THmieM4Jukx7YpXvyrv+mdUopTSHElcCHJKQ9/yalLBNC/ImEYeEtIcQw4A0SyhinCiHukFL2lVJaQogbgE9EIjHEYuDZrznlA0AG8EpTLoktUsrTvun1p9k3aWPEYYai0roU10GOcbqitR4TpyQeeY6ay9Z4kMuayWPdN/xECtXMQ9KOPdehtCrXpR9sg9L8aAmH5P6VNJrmM/c1bmYBjbgsH6qVhaFtw98osJEEHJAfrQB8aEoVptKIpWxCkE2uXMsxtY30rA8QyDDYkb0Fd81ptG1I9GXNht6RjtRo8HrbegpCLk6q2M4rhUVsyc5kdkEETdRia3+jj3ybrdZUNnqG0jU8gGUzfk2n2FoKh16QTGhpfrISWRNCO3PofhNUKgM6Yn21CfPzlTh+8W2TSKc5XIiacSzUVsdpqUg0IfB7slAVBcXe483m8vkRyr5fuR5V43f9+3DnwjUEwtEmhaM+eNIhbWkOAGlLFEuQ12UsTqePSLgGvyeLYXldmNx1LL/7NFVW8+Otm3l53Qb8HjdTi4fxVNlCRhd0IGI6mPplBTtDJoVejbtGF5Hl1Cmvr+GRFfN5bsSprfb9kGWSo2pcPrCAB2fHqQglXPFvGF2AECZjCgYRt2JM/uJinhnxSIu8D36PDyFTlYw0RW11HgOSa+Y9TyBSi9+dw33DLsCterj7i/9JSoBeWfIgmn5EexR9K9yqg2v6ncAbG9ZxZtc+7Arp/GlmjIpQQtZz2jg3/9OzIy+v20rfnEymDOlFOC648tMAVw/Oa1XidUOwgUeXr2Vq8TD+b30pmbqH0zoM561t84GEOoYmFKJmBCltjFg9mtvE7/GR5/Bwed+R3PnVXKb29ZCR2dIzIlRdRunc2+h/4sN4srtDRTXx519H1gYROZnoF56FbJsPNoicXGQkhPC5yDzmKv69aBp14QDZHj8/H/UAa2c/QPWmmUl1DG9uj6SxQUqbyK5y1r9zHbsX2t1PeRh3fo+0QaIJRXXMded1P61o8rMPYVt+FDWge/Ku/xbJKwGQUr4HvLdX2e3N/r+QfaheNClpDPia+jOa/f+4b3OtaQ6c9F/NYUZckZRMdLaQ4oorBxlOI0xuH3JiSkzc7UNOJCFbAEE7zk3zP0iRx7pp/gcE7UMbn6wIwe1DR+8l1zUaJZ3A8ogh3Chx7ccYsSSQmGgGVYsTdRVh5mOJBuLaWrpGfFQ6THSlhpCeSEClS5ucmAtF5lEUCTIivpOxgcHo0qS0oBIlnoe77iSsptFNtyBGI6VOaNRX83znDpgCLt5SBbaT9/J6UJ4JO92SCm8leub1hDyfIoEK8yp2zHmCHXOfBEDWhzFnlKL0KEDp0FKesTnC7UA5yo+1YAOyIbLffdP8eKiPKjy6OMawvcbpY09xYqgG9UaQ+0rOIlNxomsJg5jL56ffxAdalfTcjWHLpCECIBCOcufCNRj2Ty+UMs13QGMIXp9D1xG/56slj9DOlc3tQ07kvJ5jmTp7QwtZzVO6dAYSqhN3L1rBr4sGcFKno5KGCICdIZNbZ1dydvcevLR2OYFwI/evms2xe+U2KTlBJdunYtlqkyEi0WcrQpIHZ8dRcXDTgg9wqol5gE2UPww5OiXvwx+GHE2+J5c8TyKkPM/jRxVw++CTU+Yx9w47k0dK3yQQqU1cf6SWmxa+QMyyUiRAn1hwA2E7Pe5+U+JSMm3RbE7t0gvb1pKGCEg81zs+j3FOj674PS7OO6ozNVGbu+bvYmfI5OVVddxS0iZF4vXO0W35x5o1yf52Vb9hVEbD/LpnQi1lt1HJpelke9sjLYsN694mQ8a5f/iJXNi7hDu/mksg3MjT5YsYegJ7jb8625b+hWhDgBUfXEc8vMcQASBrg8Sffx0aGom/ORPtnPMxF87DyPbxSpMhAqAuHOA/c6aQd9QpAHvqa+pvAGa4NmmIgEQuhPXvXIcZ3rNPmoRBwunzj3Jmdejq9PlH4mPihgAAIABJREFUfVtDRJqfLulPLocZUUvw0DKD8491kO0Q1BmSh5YZ3HLM/jP7741hx1i6awFPjf5lMmfE+1s/pNCdSAZr2TZ5Dg/X9htHpsNF0Ijy0toFWLb9NTUfHDHLYmlVBU+NOQkbiYLg/S3rKHB7D+l50hy+RMKSzKzWjRGvbdtJY0WMEjz8KtPHnbFtaDgw9FJUqy1tjQxWe4NEHaVEzUSIkdvSCOrVeEwXvcR7uEzoWl3ELmcOgcxFeKp/ho2bjTltOXp7whhR5ahHigx0GtnlquDlDm24aEslg2oz2JDdl4nRUoQU6KZOo6pTkfEn6oMDcZvFrHePw1r0PJ42RXgXZoBlo47qcUBtVwd2wi7djrlwI/qxfQ7ZPU3z/WNLSU3ExrQFs7fZ1ERSx2nbCy5VIdPpJlNxErFqUGq2Mvi0Z3D6/Oh6Pppr3zKdppQpbs+QMEiYP8G8Tmm+AywLWVqOPKk/G7fNpE+/S5HE0ET7VmU1dytnndK5I+cWHYWuaCgkwiyaf9HeGTKREq7sNwJVQJ7LiSUMTjjHAXbCGyiumjxdto7f9OqfXLDupiIksWTig4ct4ZmRD5PvzObjbZ/zyMgTUIWOJeP8Y/2/OL/bqVwz4hkQOsg4lm2zvbGSp0dfgCVlkwqXwcyK0pRzBCK1WKSetzocwJIHqYmeJolpS4rzC9EVFWkrrT5XW8JT44Zg2pKqiJUSomPaNreWtKGtV6O8vp5Mp53MSBAIRwibJraUuBQH70z4M5aUVMWqMGwDnyOLkC0pGj6Vxlg92S4vDsWX9LAtra3irrWfcenxxfTKzKOyvhSXrwvtj7sbSyio0sZSNayrTkaxQJ1RCvNLkbVBpJDER/UglqWgnn06lrCThojd1IUDqK49oZXRhgB2PIasrQdVxVYs2o29Hj2jAMvhwjRCWKEq7HR/S5PmG5E2RhxmaArURCU3f7EnaWuBV6CKg5uQulUPowrHcNmc6S1cGQGcqsYVfcdx58J1zVyCx+E8xC7BHk1jlL8LV3wxj0A4gt/j5u6RQ/Fo6a53JCClJBKStClo6YQ1r7qOl7cEuE5pD8Cj4p9o8aswlVps6SffcOCyFTZ71xLHS0xJLNQcNpiKySn1SzEyorSrzyYnmsVXuR1Q4zpquITN2e2JKwkDnm5JdARISaeGvqzJe41X/Kdz6s46rthgcElxPr5wNopwY6uNuKwGzJhKOOsJsqumsU7eQqNvNZEPH6Fk7S9RBnVCZHkOqP0iNwNRkIU1vxxtfG/2o2Gd5jDGlpKNtTa3fxbj8mEOCryCVdV2cpwu8AoePsFJ2I4z9aPx5Hn8TB39HEIItix/maLRU/ZriACawjtcLRLCaek+k+YAkKqKyMlEqYvg8/oJhXdyx5oXeHbEU63KalrS5pTOHTmnW19unWFQETKTYRVPLaugrCbRtwu9Gpsbolw/ayOFHge3De/MkyuWUhOLcVvxQJ4sXc2FvXuyuKqaC3sn/haaL1wT85eE94Mi4NLZzyTnI9NXvcPMijL87hzuLT6PqO3gxoVvEAjX4/dk8czoc+mV3Yvfzdwzf7hn5FBu6HMmD67cIzXqd+e0cPNNeFYcWnWwIwmvpnFO9z6Yto2QdqvPVRFw+adr+P3gjmQ7HK2E6OiAxaPLlzNlcD8u63cUfy1dTU001jQHtKk3TG6euzj5fO8dOZSIGuXq+c8m565PjbiMHeHGlJDf0toq7i6bxfQxE6gOr8KO5TJl4YvJYx4o/jW7yl6kcud8xh37AB5AuN3UWjt5d+0tNIQC+Lx+Thv3FNkef4pBItvjx4ruCQ1y+fxQUUvsr/9EjBtGdJSfdRvepl2/X/D6l1OS4R2/GP0wbWU+SjpUI02agyL9F3OYoSuSKaOdKbJHU0Y70Q8yTCNu29y08IUWrozxJs8HWypJQwTsdglehy0PbZcwLJja9KJJnCfC1LmLMdIG5CMCIwaWRYucEZVRgyfKt9DB5aK/M4OYFicYPhsQWIoFIkShuQOALe4wUkSJqyEAMiyNc3ctweWcj2YLiqp7ArA1oz3O2olsy2pHRHPSsaESS9joliTb1EHEkLaf3sYWoq5VPNepA0Uhg4k7NWb4JhNUTqJBnkGF3hZLtcAxC1vEyDNUdhp/pNPOUcTVGPbg1tUQ9oXS248M1CO31Xz7G5rmB6EuKrn9s4Sb8n9K41w/KnWMnjbOSYYWJ1PRyfP4uWrYg3jUTFbP/BM9Rl633/CM3ThVwd0j++L3JDRw/R4Xd4/si3NfiV/TpGmOEGi/PBl9bjknD707KWmoCpO7W5HVfGfTZs4tOoo/fW60CKv4Tb+8xL5ejVuH5/O3soR63s6wwZ3zN3PeUT0JhCPcuWgZ5/XqwfOr1nFb8UCiVoRp41r+bTi1OPeWnEjITCQ03D0fOaVTSfJ3XSyaNERAIlGljcote80fbpm7mHH+IfjdCVlFvzuH+4ddgAMrJcTjypIHkx9f0hw8MUty87w5/HPNSlTF4vaxLZ/rK+t2sDNs8I/VO8lzO1sN0QnGLKYWD+T5Veu4e9EyLuzdk6nFA3h8xTKyHO6kIQISz/fmuYvZEW5Mmbs+svJt2nkyuH3oyJSQ32nFI3mk7A26dDohaYjYfcyURS/RdcBvCIUCfD5zCvbx/THH9+HdL6+jIZQwPDSEAsxZ+gg/H/Eg2U19J5Ez4kGqV78DNIXYHXM3vP8VAPao7sz/5Aba9TyF1xfdkRLe8e/Z1xGOpUM10qQ5WNKfpw8zIqbgk/VxHh7vRBeCuJT8c1WcXww4ODUN07aTA/NuApFazKYEUXG7dZfg+CGOT064HqfGbQbCkbTr8RFCJJx4zk73ngWVlJIn1m/GkpJfdijEWmNQrynoVnss0YipbcAt1tI+OoaYYlLj2AwiTPdYHQDnNH5G2LmMVTrkG5KOtUVUegzCmodqrT8hh4dO9VVkxcKYio1uQb7hxMyIUq87Kdl1IhX+//Jp/hDO2pnBxRsbubRYpyRSQ9j5MbZSi24MJd/cjuGcR358EDKYS2GwM8vaz6Ruw2dM6H8/ygF+dVN6FmLNWou5YAOOjnmH/ian+c6JW5DrElw7NBGWYViSKaMctM1QUIUkQ0vk2olYNUwd/RweNZO5LxwDgBACzfX1YXYh0+C19at5+Oh+KELBljYvr1nFBb17k4PrO21fmh8/wjSJvzsT7djh5LjyOGbIjUgBQRteW1/Gw8f0xaWqSBRCcZNzevTAtlUqmoVkQGIR2TnTyf+d0hGnCoqpcH9xTwxs/rZuO29vrCZTT/TnQDhCpkOnrKaOJ0tXc0fJED7btpUHT+iAbQsURfL+5q1M7NyWVzcu4Nc9R/LAsN/wYvmndPMW0iuzC6+Nvx1LWkhptVDOsCX7mD/AM6OvSMqSZwgV24pww+h/JMM5du2YRV67bCCtZPRNMKVNIBzm7S2buKRvf5yeOA+f4MSSAkVIdCXOgDYZLKtupKw6RMy0kuNjnSF5sSzOqmobr+7g9bXlXNqnL23dbpyqQnW0kZpoNDFPbeX5ZjpSE4/OrChlSs8JdPRk8viYCVi2pDJax2MrX6W0bjPX9jut1fmuVBIGuFAogK0JbGkmDRG72bh9JmN7Xc1ve9yD7FiAJSS2tOh49BR6jrkJRYL820ewOQCd/URcGr3H3YHLk4/XlZ/iUVEXDmDuRzEpTZo0rZM2RhxmuDXJ2Z11Zr4ZozEoycgUnD3RiVs9uMW7pij43TkpA/TuTMXw/bkEJ87jTnnh+D3utOvxEUK46SuJs9laam51HaX1jZxe2JYMVWNzbYS2mheBwNTW4mEbjUoWHaM5BLUdxLU6TmxcTKEaAS5ihyym0r0E3Y7hD2WTHWnL4gILiUW9O5PCxhpyowlXzrhio5sKbktHk/VEFR9OozM9ozaL9TKe6tKXx0pLOWObgy35M8mlAUfsWFS7PSGKyFCXoIZHM6nqc6odXiozqqlv3EzZtv/Qv+OvWmlxS4RLR3TOw1qyGXlmMUJJ9/0fGw7V5vqBDhZ8tGdcLpnoRGAiheSXXzzP02POJUMKolWrmfvhDUCTgsYBGq00RWHRrkre3rIpWeb3eLhISecaSXMAqCoEQ8RXltPgN3nvkym0bzucvgOuY9GuSjY2BLm8bwn3zK9lZ8jk6PYerhrctlX3+80NEZ4v28ptfbqz4EMj2ecvmtSRTF0jGE+EcPg9boJGwhBXE42hAG9vCvDMyo3J+vweFyd1KaDeiLKhMcDDpW/ySMlFxG2dy2d9SKDJ/f6+4eM4t/tw/rl+fvJYRbDP+cPFs/eEoD46/GJMG25Y8K9kiMddgyeiKAeXayvNHjSh4Pd4yHO6CMUltVGbu+bvUVm5bUQb3t1YzWX92/PR5moyDJXFn+7pK9dNdPLCWoPKSJhJnbtz57xqdoZqkt421w8qQVVaf75Zupt+2Z0prducKHPnYDdUYNVu5YoNn7WY15pWbJ/z3bz8/kQju1AUDYGCz+tPMUj4vH6obcAxt5yqs5w8uuC6pCLLFQPvoEDPQ/V5kZ39VE4ewGNzLk5uv2TwHcxc9jjba1YACa8KTd1/OF6aNGla8oOHaQghThRCrBFClAshbm5l+3VCiJVCiOVCiE+EEJ1/iOv8vtAskZzwQkI7ecFHMTTr4BYwbkVw/7ALWrgyupsWQqpic9uwohSX4NuGFaEqhzaBpUcV3DNyKH6Pu+k8iZhPT9r1+IggkjRGJJ53zLJ5YdN2/E4nw7Iz+dvmAB7DSVgFVYYxtSCNihPdVvFHfazKrGRM4zqOq99C/8psAKLujVh6HRkWtK1PhGgEXN0whUJ2pJGC0J6va6Zio9ugoFEQMwGVrW6dNnWn01l9njJfBh+2yeVXWxQq4mNxRk9Etds3Ha0T0r10a1xORtzkvXa9KVd/T2ZMULr1X9SHtxzwfVB6FEAwgr2x6tvf1DTfO6rZ+rjsRcWnyhT1jMCat4Em994THjygEA0ATdj8oXgofk/Ctdzv8fCH4qFo4tCOyWl+omR40S88C/P4/rw3ewoNoQBH9b2EV9av5J4Ro7iw98CkIQLgpK4+Hl9SyfWj9BT3+9vHOni+bCuX9OrAgg/NlD7/+bsG53b384/V6/B73NxWPJB/rClPvtdn7djaaqjRK+VruKrvcby47hMCkVo0xcnN8z9Pxv8Hwo3cNP9zftatJEU5Q8Fqdf6wsWFLikt+IFzHDQteSwnxuHXJR4Tt9Dzjm+JQBfeOGMWFvfsTCJlJpQxIJDW9c14Vk7rmc9eCTfy2Z3tmvmuk9JWFH8W4ZqgDh0qTIWLPsXfN30VdNBEuPLW4X8rznVrcl8fKPubiohMSZe4cHhpyPrnetijL3uCB/melzGvvGHQWn5Q/zx2DUssfKP41y9a+TN9BFzNu3IO4PPm43XlMGvNQwgBBwhBx8tC70eeWE508KmmIgEQC1OnLplHfuB1x5igik4bwWNnUlO3PLJnG0X0vBhKGiF+MeQSPM+c7fzZHMgewZjxGCPGVEMIUQkzea9v9QogyIcQqIcRjoimJlxDi501rzDIhxH3N9r9ACFElhFja9O+iZtusZuVvNSu/sunapBAiv1l5jhDijabzLBBC9Gsq7yiE+KxpnVsmhLimlTZdv3d9TeXD9tHOTCHENiHEE02/PUKId4UQq5vOce+BtHEfdfma7btUCLFLCPGXZvv/rFlb/rflE2ydH9QzQiQ+GU0Hjge2AQuFEG9JKVc2220JUCylDAshLgfuB37+/V/t94NtkaKdDInf9kG+VGNmI5W1X6W4Mq6tmEVem6FADjHLYnrZPK4ZNJBMh5OgEWN62Tz+NOzoQ9gaCFqNVIQreGrsSEwp0YRgTd0GMhwFZOI+pOdKc/gR3ssY8f7OKnYZcS7u3IE51RG2hh14Tah2qsS1bUgRRwg4u3oFCqfQ6FjH0PhytmRIpLcc6sDCi8cClw1Fu4oIuqqo0k5HSEnH4C6a/6WYioXD0lDQaB8xqXDAeo+TztXdKAz3YJtWwRNdutIvGOSStX4WdK4Ddc/ir1Odk3aRTWzOKKQu9xWCsevpFD8WxTmTpZv/ztje0w7oPihd22CpCtbSzajdDy7nRJofjphpUhuTuCxln+Ny0DTo5MohZO7CY4O/16l0GvA/xGNBdGf21yauTJ7LivPelq94ePTRqKhYWLy87kt+22vEd9G0ND8xpIDanFxipsnIkodQhI1QMpncrR9CSDI1nZ2hYHL/TKfKrO1haiIVXFqSS6ZDJ2iYSCVOWU2IHF2jNJhqCGsMSpCCO4YPRhUQNKJc0b8nwXiEfKfOMe3bowmF6WMHYkqJ1RRq9PaWTYzvWJD80i1QkoaI3RTn+xE4eXLkxWgKmPYuNMXCrdo8OXYEtgRVCBQR597SD3lg2G/I1D0E42EyHd4WIR6BcD1xmTbkfVPCpoltm3T15RC3SVFYgcTvzj43tw/vjltRaQymysI3BiUqkO9yszO0q8Wxbk1FSIWOXg8PjRlKOG5QFWvgyZUfUFq3g2v7HctbE6biECrZRhyhKOQNOJ9c28nzIy/DkBbbG8p5d+X9bKhdwY6G9dzW92LaZ/ZC2lG+Wv13lmx6k5Kek8l0FyCEQjxaS4Yrl7MnPI8tbVRUXLYbZXJ3GrSGpKFhN9XhANLhRqoSqzCb6tKW2/N8Xfj9pHfQVCceZ046eeV3yAGuGbcAFwA37HXsKGA0MKCp6EtgrBBiBfAAMFRKWSWEeFEIMUFK+UnTfv+RUl7ZyuVEpJSDWimfDbwDfL5X+VRgqZTyTCHEUU3tmACYwPVSyq+EED5gsRDi491tEkJ0BCY2tWvve3Ef8FEr1/Bn4Iu9yh6UUn4mhHAAnwghTpJSvv81bWxRl5SyAUi2WwixGHi96f89gVuA0VLKWiHEAU92f+gwjRKgXEq5AUAI8W/gdCDZsaSUnzXbfx5w7vd6hd8zQk1oJjef+GZkCsRBJrB0ql7a5gzmkmaujPcPOx9nU0InXVGojkW4cf6M5DF+Twa6cmgHUlUoPLjyjRbuc8+M/t0hPU+aHxZpS+JBiR0H3SdQm4wP4ZCNooKmJbwi3txeSU+vh1zdyd8rdmGLEBlmPlu9ENF3ASYDjfeo5zQAest3yDRVLMWkwmniEFHcZgZ9qqFTXTaZ0bbMatsOBQWXGUHdS94trti4DYEmBe1iCuviUOV2scvRSEHtaWQVLKJOO5U7enXikbINjNyUxYaCRhqcFh3rnPTc5aba6WKzZxQ58nEiyjpWq5dQHJ3N9tr5VAbLaJvZ92vvj3BoiE7pUI0fEzHTZFPQZOqXFUwf036f47KqKEz74mxuGf0cigKlzUI0Bp/27AGfz6U6OLljCdfPWtlM4agEV9rtN83XYEvJhjqDm2btbHKjd3Pr8HzumbeKmpjB1OIiVGFQ6NWSi8pgzKLQq1FWE+OWLxOLrEKvxvXFiS+7tXGTjEy1RZ9HkVwx+zUC4YZkud/j48aBI1hVt5kTO4zgylkzCYTDzbZ72NVMnSARArBHGeHUTj05p+sQrvgkkAwDuHtMAYg418xO1OX3eLh1aH98Dpsre0/ijiX/Ss5tnhh5OX5PVopBwu/JQk8vDL8xmZqDkOHgyk8DXD04L6XvQKKvBEImN8zcyfSj27U6Pq6pb8DUZKvHRkwLRVFZFdzMIytmtnh2mpBsnHM3R/X+FfG3HoeGahw/u5v4a6+Tcdx4qjJjvFJ2T9KAsKF2Ba+U3sMFfa/n1dmJMTjb48eo2YSRYWLaBqUfXke0IYDL56f/iQ/jye2BaOojejRGnsefYpDI8/gRRgTF50BXaXW7VrGJTE9bREFhsq40CWzLGGmEqx+StuUXihpwePKuV1TH3G9R5YGsGTc1bdvbEikBF+AgITKrAxVAN2CdlHK32+oM4GzgE74BUsolTeffe1Mf4N6mfVYLIboIIQqklAEg0FTeIIRYBbRv1qZHgBuB/+5V31XAa8Cw5oVCiKFAAfABUNxUbxj4rOn/hhDiK6DD17Wltbr22l4EtAVmNRVdDEyXUtY2navy686xmx/6L6c9sLXZ721NZfviQuD9/Wz/0WNrNuMmORMvfRID+rhJTmzt4Cz8EQk37pVd+MaFLxJpelcoQnD70NEpmYlvHzoa5RDncshRXK2Gi+Qo6YRsPwWilTbbXoux8s4wq++NsPahCGV/DLPm4TBVX8SJBG1cLoEQgo8qdhE0TSa0yeOdQAMWEqkEyYgrhLQYthImi0Vkx3W88a7E1Bq6GluwNJPtLqh0gqCBgkgGGZZAmEUALMkegG5LVDv1y40iFTSp4zIVBlfCsbs6ccc6uGdlJ7o1diTDyKdnY+Lvqjwjg+v6tsdQBCVbM5lQnkPRLg/bfXXM77AOhKAwOIIM51+JinbUxSfhUDws3fQ88gCTsSo9m0I1NqVDNX4M1MYkU79MxEj/fW1Ni3F5/ClOFD1OpqJxZcmDeNVMFC0TaArRmPggmn7gLrtxW+XOheV7KRyVE7fT8oRp9k9t1EoaImCPK/x5R3UlEI5y96K12MS5c3RbCr2Jb1Dvb2zgrtEFyd+7DQCFXo1Cj4Nn1myj5ARtr7mIA1szuW3wOPweH5AwRNw+ZBzPrn2fkzoO59EVC7h1aHFKuNF9I0fzztY5id/uHFyqxr3DxyXnH+cVDeHW2ZUp1z/1ywpMW0saNQLhMHctXkGWnp80REBibvNY2VvcX3JWSojH7UNORD3Ijzhp9hC2lOT49/KqOm4paZPSV24d3pa/lyaewZNl1ZScoKf0leKJCk+vXc/zKzdw+4j8vY7Np9Cr4lBsXlz3CbcNPinl2d0/7AzWrvkHHYpOYcHsPyKPvQBZF8D4v6noxx+PMuMzctztuGrY/akKKsMeYMWGRJhctsfP5KHTqJn3LNHgtqQhAiDaEGDFB9cRb/aRzOfM4Zrhj6TUd8XAO8jK6IDmyWl1+9X9puH88FliL10HobSKRnNsyxgZqln/1pK3Lh4571+nd1ny1sUjQzXr37ItY+S3qPZg14xJpJRzSSzIdy/+P5RSrgLKgV5NxgENOAPo2OzQs5tCK15t8lLYjUsIsUgIMU8IccYBXMIy4CwAIUQJ0Jm9DAJCiC7AYGB+0+/Tge1SymV77dceOBN4aq9yBXiIvbxC9tonGziVVGNLizYeSF3AL0h4VeweaIuAIiHE7Kb7cuJ+jk3hh/aMOGCEEOeSsMyM3cf2S4BLADp16vQ9XtmhJWRKPqms54yzsxBSIIXkzS31HOfxcTCRaKZt7UNNI6GpGbMsppd+xbUDhpGpOwnGY0wv/eqQh2lYRi1dXbk8M/p3yXCRHMWFZdSCy3tIz/Vj5Mfab6UtqZgRp/LzOEIBbxcFV4GC4hDEGyWRrRaB9wyyVLDagmFZvLG9gu4eD7ZUWdUQx1bqUGQElyUIOsIoYhcloZXMzBjCVTvboKsrqHQqbHS5sZUYzpr/wbayqBbFxDiToxu7sc2dhW5EEYoHxW7Si5WQY2aRF8/GiYIqYWsGxGU169w+2kcFw2rbImRb2kazWdq1FgM363yZnD80m+F12xkZXUylbyuVGVUgYfCmcwjLocS119DVxayR5zMmOocd9moqgysoyBqw/xtGs1CNJZtRu/24QzV+rP32QJEyEZpx7zA/tYbJc6treH5jNb85IxeXqiAUiaLHsZEYVh2FrsQ9aAgsYPBpzyRCNNzZaK4DN7omlIdaKhyllYcODT/lPhu3Zatu9FmOhApXIBxNqP+ICFNH+Ojk8CEkxGyTpyb4idsgBOiKxdOlm3n4mB6oQqArNhPO1lGlQlRaPLuunPP7dOLJlZ/y+/6j6ObLR1dUpi5+gdK6zUgJMwNbqY5G+f2AAckQ0CxdZ0q/U7m2z8kIGSdixXl1wzIeGTUBVSioqK1ev7LX97JAOIwlaTG3mVlRyoW9xnNt/xIy9SyC8XoeX/UE9wye8h3c7e+XH6rfms1CM8qqYzyzvIarB+fRI9uJEJIXS+u4qFcuOQ6NWsPkX1tquXxyHkhYW9/AXavXU1abCAt6bPlqHh3fD1NKFAEuBZ5etZjfHNWf0rrNPLnqba7tP4GevnYIO8KqsudZvfFNio59lkhjAOnNRACyLoDIzcNx8jkIxUWecHDFUdejObMwY/XUrHiF0f/P3nnHSVWd//99bplednaXZYfeRQEFQTrYAXs0RU2i0cQ0zS/N8o3GXqIGNImJJjEYW0w0GnvFrkgRRJBFei+zLFtnp99yfn/c2YGBBSmros779fIlc+bec8+99+yZ5z73eZ5Pz9OYfMQvyTWspundu0nV1qDo3oIjoo1Mawx7B+ULRSh0DfXjmokPYphZVKHgFx50bxghFATQNdSPq8dOx2jZgppswfP03bCxBglIK0cp3nE7uVTDHTUzLq/c0QFUM+PyymGn/+MOTzA69rMejxCiH3Ao2x0ArwohJkgp382XAHgMsIFZQN/8Ns8B/5FSZoUQPwYeBI7Lf9dTSrlZCNEHeEMIsVhKuXoPQ7gN+JMQYiGwGKcEgbXD+AI4kQ6/lFLGhRA+nNSOSe309Ufg/6SU9k4RGBcDL0opN7UTmUHe2fIf4K626JI9nOMe+8pzDnDeDp81oD9wDM51fkcIMURK2by7Dnbc8fNkM8UeqG75tiKEECcAvwWOllJm2+tISnkvcC/AiBEjvrDWm0cVHF0e5JX/ba/afvTkIO59fDn2SWoaaluaxpztWTBRXwC1g9M0FNVFY/NSXp17Ha3JGEF/lBNH3UAk+OUyBveXL+K8tdKS9f/JkFhhE+ivUDFKR/UWL1aRoRqZrTYrZ+ToFINNT6exKyVH943w+tYkEgNEij5xFQVBq6uFnjzDFncnFCtI2KigvmwZq/02Sq4c39Zfohq9sVWwKKPWPJOK3ALeruxERboFy1+OkBa6rVGd64TX9pARKeKaQYgwjR4wbINV/jTHBhv9AAAgAElEQVRvVvpRlY+4YH0vDm3twU/XNPPX3hkyIo4pqni3oon3le5cFKtiSEJHkSpCiVGWOoo1QsP2/g0r8Q+25Kbg8j7Ox5uf2CtnhJOqUY710QbkWSPaC+P7wvBFnLd7i5SSxnqb15/bvgb/ZlJnbluylUtmbubu47rwk3df4a8TjwVhEpDw4f/Opt/YS/c7RQNAE+xG4ahDT+8ry5d5zuqKaDcUviWvdBH1eYjnsqhuF+WGnzefN7arwkyW3LS0hsZsjlvHDiLs0jh3xnZFi6jPwy+G9uM3s2qI+jxcKHpQ07yFP9S8yq+GjGRAqA8NWeehUxGCqC9ATdM2rpj7Rn7/AH+fOIVMfDXPv3ExVRVDmDD+L8yv38xzG5YB8NhxF7Q7fpviiNCoz4cqaNe2acw2c9kH1+3QVoVrL5VsDmY+r3mrKRTdkyUNWe76sIG7j4vSnDM4t3uE918xqIkbBEKCcydHyKomQtjcunhp0TrWmM2xKt7A/82ZSdTn45eHH878+hgXCed3s6Z5PXfWPMXfx/yImbOvoq5hMUF/FCPbgjcQReRrnYiyKLKhFeMfLyAumkLOH2flnDtJJ7Y7Gupj8xgx+jdsfm67I8o20niC0SKHhCcYRdkpBU4RCmFPUY3AXb+XLjL/ug7ZvL0vURZFlNLpipC2FW3PASRtK3oA3e7VM+NuOBOYI6VMAAghXgLGAO9KKZ/DeShvc/5ZAFLKhh32n45Ts5D8d5vz/18jhHgLJ6Jht84IKWUcuDB/DAGsBdrSTXQcR8QjUson87v0BXoDi/K2YjdgQT6qYgTwaL69EjhZCGHmz2eCEOJiIAC4hBAJKWVboc97cVJSCgUn93COe+xLCHEEoEkpP9hh/03AXCmlAawVQqzAcU7M2911aePzTtOYB/QXQvTOF9U4B3h2xw2EEMOAvwOn70v+yRcVl6Xw/itGcdX2Vwxc1r7dqrCit5seEVacNyUhReX2HcIk26S1QkrH/nhbyIIjAqA1GePVuddh8aWyBb8ymCnJ6r+nSayyqRyvUXWMaxdHRBuezgorKyDeVeCpU7h6RR9CLS7WpkxspRWpbCNHPwBS+hZ655pZ4urD+LgzB7f6l6DHT8ZX+3tUozcAEomCyiFpRwosjuIUWgH8hkKPTBfctk6TWk+TVk9OcYxxlwUIlTIzS07RqMyqTBuwgtW+WgYmwlyyNoIuVQQaQlaRoRuPVElUK4LXLMMlG1Gkh0mrz8KvLEPob7BCO4dyBhBrnk9zci17g9K3MzSlkBsb9/selPh0SadkwREBzho8f4bBxYMq+N34zqxrree20WMJqSqRvILGoElTi1U0Jk3dpxQNgDIVbh17WJESwa1jD6Psi/88VeJTJuJRuX1C9S6h8A8vW0vU5+GqEQN4Yf0aerjCzHtF7mRfWPx4QF9iqQxXzlrC1/t320llayAPL9tQUMZImolCGsQDq/7NO7UzC7aGJihKv4j6Atw26hhcioKWl9k8csgPqWtdwu2jphRSPZ5bv6iQItI2/t+N74wmjKJ0j9tGj6FMVbjtiG8U2Ta3Dzubbr5Kot6qfFsVdw7/LWFXSdlgfwmqdvv3RDGJ6u527VTVULAl/G7MYeys1Pbw8o/zdT9G8MKGldw+6hgWN650tvFGuHnYt3i85naOGPQ9gv4oJ4y8jk0rnmfkuOsRbzyAKIviOv9OqKhGRELIVxfh9VQzfML1eAPO8603EGXU8dPwBrvhCjptrmAU3VPGocfegCff1lYzQvfux/zwR3CffyeizOlLlEVxn38n+EtzbUeEosbarncbnmAUoaix3eyyN3ziM+Me2IBTsFLLP/wfDSwFaCu0KISI4EQETM9/3vEETt9h+4gQwp3/dyVOYcwdi2jughCiLD9mgIuAd/IREAK4D1gqpbyzbXsp5WIpZZWUspeUshfOg/6RUspaKWXvHdqfAC6WUj4tpfyOlLJHvv0y4KEdnAc3A2HglzuNq91z3FNfec7FibLYkadxoiLarssA8g6XT0Lsbb7zp4UQ4mSckBMV+KeU8hYhxI3AfCnls0KI14Ah5At8ABuklKfvqc8RI0bI+fPnf6rj/rRobrF48v7MLu1nXeihLLz3VmlrfCNbYgsIdx+PKW00odCycSZdosMJhrpRl9iIJRVQygrpE9jNqEJSFfjEuiZ7TUvrRh5+7oxd2s8/7VlCwY47zmfMp/Ku8mCft1ZWsmZ6hvRmm+rJOr5ue56Ppil58qUsZVGL/6TWc9m6nmiGwn09GvigfBWCeg6vm8KtH2rcPfxP1HTazCatM9+rraRn43ksDr2OkikuVuxTg6iKmxO3vIFqmbwd6YOt+imjC71aJCYmTdo2LOG8zQlnPPRvrOLtPjbN7ha2Kkler+zGmKZ1vFFdR6+kyjc3VdEr1Y2aUIq/9lmGJTxY6kpQGimXK7loY5SgWQbZ7+ASc3H5ruGtTlVkEg8T5Vki3rvpUTmBMf0v/cRrKDMGxvS30Y4/DP30I/f/ZuwfX8l5u68k4jb//Wd6l/azLvBguAxMaRFSnbmvYiGNFoTqRVpppG0hFA1dj+xTigY4a3YykwR/d0zpREqQ3IjfEyAY+sKulR1Bh8/bL9ucBaeIZVPGwrAlKhYCk6xUUIUAbFQhcBlu/teOfXHmBR7SmoElJbqiYNg5tmUyeFWNCreHnJQowEsbljC5R38MK45L05CAJlS8UiMlBJatcf+yj/jOgMGoQmBJySMrarhw4OFoSqpga/xj3v9xcr/v06XsyEKbX1VImCq2FChCMm/TIxzX65skLLAkqAIiqoKVa2bZon8SPfxCbEVHsQ1iH93PwGE/Ii0EOWnhEiphvQzd5f6sb0MbX/i1ti6xEY9WTsrSsWxQFfCqNoZtoeU8PPlA+3ZqQs2iCYEqBLaUSASWBEU48sWWlEgkflWQsNLk7Bwt6VqeXfon1jQt5vbjn8JjWihGBtUbwWVrCCsHuhvhL0dKSSrdgCkNVEXHLXQsK40tbRRFw+2tBAG5VD3SMpFWjq0LHibTuIbOwy9A9YRwB6O4VC/CG0bsRzSwtG1INjmpGaoL/JH96ucgpMPmbVvNiLZUjbyTvt5f3vf0AyliuRfPjEcBTwERIAPUSikH5dUn7gEm4hSzfFlK+et8n/8Bjsgf4kYp5aP59ltxHtBNoBH4ab745Ficl+Q2zkv9P0op78vv83OcgpPVQB1OqsNFQogxOCkQElgC/CCvODEepwDk4nx/AFdJKV/c6bzX4ShL1u/U/gDwvJTyiZ3aL8hv/zMhRDecWhvLgLbsgr9IKafv7hx319cObWuAk3fcNu9YuQOYghNdckvbtfwkPu80DfIX/MWd2q7d4d8nfOaD+hxRlfbVNNR9XOcURWPJ4ntJzrmh0Ob3R+nWdToAbi3AlrTFlXPeLFSqvnX0aLp4O/Y1nCo0gv5oITICHG1n5UsQPvlVQtqSDf/OkN5k0/n4T3ZEAGSyzhxeZiXY5jOIHZlDLFL50boKnjQamVWeJmQ4S5CubmKt3o0BZg1lqYvJCGMXRwSAoahEjCTVmRYWBapBQnUmTDQLGZGlWd2GFNv/dqx8QWXdskGoRAxnHU6rXoa06CyMGKwMNBFzexjX1Ilvb+zGw90bUOzOSGHQoFTzt16LGZ5uZszGsdhWb/o3HUK/0GKWul4mljuVrp55rK9/m6E9L8TrKt/jNREeHdEtgrVoA9ppw77QqRpfWhTZ7hrcahrougQsrnvnW1w5bjpuCen65TulZ0zfZ0cEgKLozHrnUpI7rJV+f5TJU+474FMq8eVHEYIKr7OeZjIZ1qWz/N/ct4ilEhwd7cH3Bw4jk8wSCLl3mdsmNpe8uYLaVI5qn4tbx/VF2gYJaXHl3PcKNsI1I0aQsbIYUvDnJffxdt1sot4qpg3/La8su4dvDbmR+fW1PLdhVaH/qC/AD5UjuGj2b4il64h6q7jpiF/x/JI/sKbpV4BTDPC8w6/kj3N+XtivwhdlQrcpzH75RySTMfz+KEcfMw2/rzPR/ifz6ls/KUr9VIRK8M7/IZviiEgI9QdnIas7lZSL9hOvVsbmtMGVs+cQS6WJ+rzcMW4Ehi2oEHa7a2QsnebCd+c5UV1jDkMIjd/MXF2YV1eP6sE9NfNpyGa4dfRoPDRw49vnFvqo8EURzTEa/n0JWihK9LwHUcMVhe9taVMXX82jM39FcypGmS/KOeP/QFW4X0FSU0qbZOMqFr+8XTnj0KOvJTbrbta+cBmuYJQBoy8l++wdTkRD53777EgQigLBilKNiD2gqK7Z/vK+pw87/R8dqaaxN8+M82hHKUJKaQE/3k2f5+6m/Uocqcqd22fhvCRvb5+7gLvaaZ+NEymwc/tM9sIJlI9QaK/9gt20PwA8kP/3pt0dY3fnuLu+dmjr0852Evh1/r994kvhyvsykVXNXSpYj5yskVXNT9izGLcWdH64/U4ETtsPuVtzwiLTls6Vc+YUVaq+cs4c0pbegWcDLsXDyeOnEcyPI+iPcvL4abhKahpfKLa+btC63KZirIa/9945ktL5FyeLzDjD3UFmywx39m1gfqSBb2wewHkbDyOcc4yZJb4uuGWaQxOCQOYI0ruoMkFWc5PTdHolnBTBza4yemariWb9bPNKGtW6IkcEgKk4/bhMG9BwSRufadCsuTmi2YXLgrkVOUyxlZeqWpnQ0JkJDT6EDIP0ImSUFgaw3BVmReRVVDvKf3pmcOcUKpQHkCgsSEzBkDYra1/Yq+ui9K1CbmtF1rZ88sYlPnMySvtrsNcncCmSdY2zC+oZmhZqJz1jzw6p3aEKlXHjbihas8eNuwG15LgtsY802xQcEQCn9OjPVbMX8JflSxgxSRTN7aNPcTFt8XpqU04xv9pUjivfW03XQAW3fDC/yEa4af58/JqfK+Y9wGndJzvt6Tou++AWRvc8A7e6uzQNZ7u27a9Z9EdOHug8F1T4ovy/o6YScUWKlAp+POwGssm6gnMumYzx9luXYdjZ3aR+Wsh8wUTZFMe470lIJD/dC/0lJmkpXDn7A2IpJ0oslkpTm8rym1lL2Gqm210jU/mIxFgqQ2PWKjgiwJlXN8/dwHmHDCrYmx5XtOieXzz0BjxSRQtFqfr6nag7pT6ksk0FRwRAcyrGozN/RSq7vX6IkW4qOCLAqVOw9O0b6Tz8AlzBKH2Ouxb7zQeQzbGSCsanjKK6ZnuC0bHecLfenmB07IE6Ikp8efncIyNKFJOxJIvTcaZ8owJpg1Dg7boGhoWC+9SPzLbiaqxj8pTp2Laj52xvWQF6GXgCmNIu0gEHx9gw5b5JiH7iOHJJcqvf46zj7sXGRkEhvvQl5IAp4Cvl2H0RiC81qXvdIDBAJXTo3j8YtUVGJBSDUe5y7mluIadmmN5nEeraMMMbxzDQtACVjR4Ph6diKI03oqGQFEZRX6aqkfIGcecsuic30aj56Zrrg9d2E/NmiAU0ou3U621zRrhNWagtUWZmadS9uG3B8CYXsytzxHwmG92N9EzpnLupB5u861jrj2KLtWB3Y7OisUr3MRQw5CE8VVVPMnkFEVWjyjial9R/k43dxKBuOVRlz4WslD5VWG8tw1q4ASVattfXs8Snh2nbJFJgW6AqOm811XLYCUHKdI1mw+Tmj9dzw+jeuFSLAeWH41dDWEYcpEX/cZfTf+xl2GYG1R1E8+xfITPLyqKqAcae9D8sW6AqEjW5Dstqt2ZziRK7xbQlFW6voy7hchNxe4ml0sRSaW5Z/gE/PuFQ+gbDrG5NY/pMfj6kJ78e0hsTmxmbtjEwFESzNK4YPIr7Vi6ipsmpceOoWUgqPCFCrlDheLF0HT69jJRpMKt2KfdMmISUjkLHyxsWMbn7oKLxxdJ1VAd6cdvxTyFsC8WyeGPezfxw0KW4XGFyuRY+XPBnjj7yMiYeOw2XO0wu28KSxQ9iS7Mo0hIch4Rlm0UGrWyKg9Wx9sxXCUfdpzhdzaNplLtdVOhe0lgc8zWdlGFTl81x88frufiILgCc1jPKIYEwf5sQxsTmweWbeG5dA7WpHKF86kybMspV4+8nJ91YEmSyDi0SciIi/BGEKH5falq5giOijeZUDHMHVQzbyrWrnOGt7M+A0Zdiv3A3cmMN4KhzlFQwSpT4/Ck5Iw4ygrrgyHA59z6XoTkhKQsIzp1UTkDft8gIobpofn0qZnz7oqyFonjPe9D5t6IQ9fmKHBJRnw+tg/PehKLRuORpaudsl8N1BaN0Gnhqhx6nxKeDEbfZ+HgWV4Wgcpy2T2kFqYxjCHZ2aawxDQwUpGhEKs3URl7hEc8ofrxSwUYyIBGgLP4zQrZjqKSU7c4IS1FJeMOotk2nZCPluRa26oNw2zp12lbqfCFUabU7BlOxkUjcJiCc5a4il2VLKEBOKAxq0VkdMHmvMscxW9Pc17OF65dFuGhdF24aaJBWKkHUgxJmYbiJSVsTVMS/RlL5NnG1E27fg4jW7xAxKnhO3MLQ2BxGdJ24x+si/G5ElzKsRRvQT/pkFY4Sny6mbbO1QfKfGdnCmnvOpM48tGYDz61zCk1X+1yoihPOHpDwyiMT8QaijJ10Fwtf/DkDj76WjTWPMmDcFfs9DtUVocGs4KrXt1KbNPMF43rS01V6oCqxb7hVlUsGj+Cm+fOIpVL8YexEoj7HIbGkqZmfvz+bO8eNZkFDmq95u/DoDnP/3EmdefODHC+sz1AW8HPZsWOZtmwWNU2NRH0+FAE/O/QUyrTt0Y1RbxUpo5lqfx+GVvbm4plPE0u1EvUFufbI43CrxaZm1FsFtsHjz51J0B/l9GPvIZ2p59V3tkvaB/1RXO4QL8/6TSEd44RRN6Aqerupn6pSfAwRCbHP+a0lCmhCFOZMGypwxaDB/Ot5Iz9fbE49VuXe5ZtoyBjEcwan9Yxyfu9+3P/s9jl13iRHPW1eXSvxnONcjfp8uASsSyS58YP3C6lAvx8zln7hSLu2hqa6KPNFixwSZb4o2g5KForqal85Q9Gwn72jpIJRosRBSGmlPsiwDb1gFAM0Jxwj2Tb2LX1C9Ueo+vqdaCEnBG7nsDddSK4ZMbyoUvU1I4aji44taCoUjd4nXF9U2bj3CdcjlJIf7GBHSsnGJ7LYWag6VkfZR43BNS1ZbCRH+UK8lmxFYmIrWxmeeI8ZwTP4oExheXAtpiq5ZPl3GdFSToXhJoeFka/jYwmFhC8MQOd4iqOatgHQrFUT07eQVtPYQkW1d/PAJsBQ7LwzQgUEnXKOcdXg8qIgmFjnxlDg43ACj53jkW7NVObcnL2pE8IuR8gyhF0BtmS1fw3VmX7Ela6clJxKJ9d0kt4nqbB0FNvP9E3V7E1RYKVPFXJLE/a21n26piU6nkSKXdbcR2dk+f4hjoJYWw59UJUF9QxvIMrI46eyceHDZFpjLHv7RvqN+fV+p2gANFsqV82sK0jp1SZNrppZR7NVStMosW8IlIIjAuC+pTVcPeIIoj4vAFGfl7Bb4dx+2x0RsN3eOPIQvfD5hTfhB/2PyKtZjOXFjXO44cP/4NfztoO3iqnDr2LO+mcwLIsbF7xBLOWsa7FUKzcueANLUqR0MW34VSyteQBwohpmffhHTp5wR3E654Q7mPXhH4vSMV6bex1CKBw/+oaibY8ffQNCaI4DAscRof/gLAj4P9Xr/GXGo8KtY4YXzZmuniDPvWEVzZfn37T4yWHd+d24vry4LsYFA/rw2Ixc0TaPzchywSHduHpUDx5evqRQf8RG4cYPlhSlAl0xexZN2fajwXzuCOeM/wNl+dSOtpoRPvf2KFvdG2HIlDt3Vc7wVZZUMEqUOEgpPREeZNg2hUW8jeaExN5HH4EQCq5O/Yie9yBYOVBdRWFvGSvHX5a8wi+OGE9Y99FipPjLkle4ecRpHXUqDkaGlrf+TK/xl6J4QtiZOC1v/ZmqU2/p2OOU6HAa5pgkVjh1IlyRffdbro1n8akuMtIgLXVspQ6pbqNfLk2N3hsFExubrZ5mtrg99Ek5hmOLy6ITLlpVSdobpGtS0Dtu0TkXoDobI65FWBVI4zKdhzZb0VDM1G7HYSqW44wAQKXcyIKU1Oteotkk5YbK6HoXszrl6J5oZVGZzseNDYxrrGRROMnCSAIhVKQ8jFVeybAWlSp7ES9W+vles5+Pgo8g06fT217PEns4r2/+iBO69d7jtVH6VmHNXIH10QaU4wftcdsSny67W3N1ReHxkwejKYKgKjGxUZFYuSbGTfkrGxb8k9rljqpYpjWGEOx3igaAZYuCI6KN2qSJZZeCiEvsG4ZdnIZZ09TIPTUL+dOE0dRn0sRzOe5cuIBbhx/T7tz3ukXR50PC5dx79HG05DL0DfWgwv0xprT516jfkc01s3zFfzh30C/JIQqOiDZiqVZMW3LviOuxFRVddbF40d9YtvaZwjZrN7/NMUddxddOmI5lm6iKhq64Wbv57aK+WpMxTCvL7IV/ZvyRl+JxhcnkWpi98M9MHnsLvl98l4L0Q8BfKl55ACSsFDO3LuQvR4/BJRQsKcBS2p0vvYNeLC3Nz4f2wW2rNCeMXbZxKQpuNcclQwYTNzLcXTOTG4+a3G66sGG3H+moCIWqcD8uOuEhTCuHprrwuSPbi1fmVS68WhlHnj7dkQJXXehex/aVnfvhufjBL6MKRokSX2hKzoiDDEWBsoAoWvDLAoL9+U0VQkELVLT7nS4UGnJJrnj/v4W2qC+MLjo4TUPVsBMN1D+5PfxSC0URamnqHcxkttnEXsjh7aYQOmzf38yuT2fIZCQhDV5MtSDxYyubqTKW8kp4JGq2EtSNBHM+wM0qX5KtriyHpiOEcypDc040BPk6EBaChNKMR7bwcWgItuKMSQJSUVF3Y7wAmKqFu+3tslBxSZOwmaPB5S1sMyiuk9Qki8oSeIwAD3UzuWZFivM3RNnsSVDv3YgUbjZrA7GRDEwZxAKCx0PjOCfxBos9TxLInENQreX+zRGO7+rkS+8OEfIiqkJYCzegl5wRnyu7W3MtafGz917jrxOP5Zx37+TecZeg2lkWP/cTBh5zPamm7fLZnmAUIQ5sTVMVSbVfK3JIVPs1VOXzld8u8cXDpaq7pGE2ZDNsTLby6/feLbSZ0m537qezxZ/XtiYRusk9iz+mMZvl6qO+hUvReezN7zvb+KIM6TEZ3ecm6gsWOSSiviCakMx94usATPz642yue79ovL27Hk0828Bj711aUEn41thpDB14HguXPVzYLuh3wu1TmXpeeveyXdqFP3Cgl65EHk2oPLNxDltSjXyz10lcNXsJlx9+KGUB1y7zRQqLU2Y4AgLPHPvrdudUzjZJWzn++vEcapq2EvUFUYVoN11YV3ZvcyhCIeDZ1a6Vto3cuorsQ79GNscKkQ+ic7/CS7iSCkaJEgcnJZfgQYai5zh3kpuygLNcOjmcbhQ99wl77htexebmYZOI5kPgo74wNw+bhFfp2PxkxV9J1ZlTi9NFzpyK4q/s0OOU6DikJdn4WBahQqeJ+n7JTz63bRt+W8fWLDK2FyniSKWeoalWWkQvVOknq26kIhPAyhseQlFp8cLcSIbXqyXvV9is9mZZ5UnxsS+J294IwMZAV+x8mo+dL0q5J2eEodi4rPxSl39grMxlqHd5aTOXBIKRjS5GN7jIas3EXRp/712L21Y4e3M3grlyXEZvDOFmgydJt/RAVHMAW9VKXvKPpK/8N5Chu9VEvd2dWdsaPvEaKX2qkOvrkU2liu+fK1qOc3Zac8+Z5AbN5LbR46hL1/H7oy4gpLjRNL+TlvHW9fQa8UPgwFU02nCpWW4Z34lqvzNHq/0at4zvhEstFbAssW9E3G5uHzOuKA3z2hFHEXHpRW1S3XXunzvJzYLlRuHzqccq/HXpSm6et5zzBvYjlkpz87yPyRn5bXxRzhh5A7rqZsGye7lt5GSivmD+GEFuGzkZn7DxBhwbYNPyZzlpJ4WtscN/XXBEgFOU8L+zLmPwgLN3UeLShYcTRxWnaZw46gY0SulMHYlPwNSjLuT8flO4avYSYqkM9y1fzanHKjutlS5e27oQcOzIFHHOmeQq2ubsSS7+ueo9bv7wDc4fcCRRX5DbR01hXeNsrh0+qGhOTh0znojbve8DTjYVHBFASS3jS4oQYooQYrkQYpUQ4jftfD9RCLFACGEKIb6x03e3CyFq8v+d3c6+dwkhEp/m+Eu0T+n19EFGq2mzMF7HJad0BkdogNcbtjLUGybcgccxzRSNde/wt3HfwZagCFix7n9090zuwKOAomronfoT/c50pGUiVA3FX4lSiow4aNn2rkF6k03VcTqaf98dEUnLYkZ9I+daFaygCYGKpWxBE7Us8g9Es7oCYGvrKcuOY53bedjy4sYQko1hL37DpCKRIdXmLpWS7tkYLWqAtOLGLdpSND7ZGeGkabQ5I5ztK3MZVvvDtGhuykzn+ALB4S0ueqZsXq5Ks8rn4ekum/nm5u4MbunKR8FOmEo9KwOtnFjfG4girEqWq53ppdYS1P+LMC7Ar8b52/oGxlW1H5XUhtKvCmvOKqyPNqIdPXCfr3OJA0PaEjMpcRk6ppnh/FNdIBVMaXP/ypV877AeVLhdGIQJCJWs0YQrXw8k0xrDV9aL0ec+g1A0NL38gFI0ANJWkpl17/Dn487AlgqKsHlx0zOc1H0idOjqX+LLjiIEEV3jl0cMJqR7iBsZ/lLjRETcM3Eyhm0DNs1GE92CKt8/w41tO1FCOZFiyjgvY0cYlKGRyVlc0q8v96xaTcjlzPFYKg2Kmx+c9CJIgwXL7mfCYd9n4qEXkrUS/HX8GdhSogjYUvs26eoJDD7lITQBQSxENsNZx0/HliaK0DCl2a5KgsTOb2ehCBWvO0I2Xc/K9//M8UMvRXeHMbItrHz/z4w4ppT62ZGYZpIqd4iUpRNLOTrdS5riTP14Cft1jVMAACAASURBVD+Y2JcB4SCKIlE1g6F6Nc+ceAlZy6Qu08zixo+48PRjMG0wpcn9q95hbWsj1w08gYGeKv49+lxMpYmq8kFkMy38feJEbAkuVSfi8aDsxwsQ27ZQT7sUfCFIxbHeegC5saaklvElQgihAncDJwKbgHlCiGellB/vsNkG4ALgsp32PQU4EhgKuIG3hBAvSSnj+e9HAKUCIp8TpSfCgwyPonCUVs66v2cwmiR6RHDUOeUdHqqraX46dzmVn858tlD1+raRp6Jp+1Yoc29QVA0lVN3h/ZboeDK1NltfNfD3VvD32b/AqdcaGjFNUKVCXBFIcthKHQPSdSz3jMZrVGKLFP1bg3hslVaXoNkXolfCTbMuibZmCGfMIgMibCUIWUlWenqg2lbBCdEWIaF8QmSEJhUUG+z8khfN5gtmuf0FZ0ThWIbCqbUZ/tfFzVKfTaOe4OzNndnQV6Ha2MSKQAsn1vemb1JlYTiNIrvxquc7nG3fR9L4Or3NZmrEMF7b+gYndB6123GJiB9REcBcsK7kjPiMkbYks9Vm3UPZwjrrPtvimlUfUdMUJ+rz8B27K+sTMfqEKvnn69/mgmOnI/KFUp20DBXxp2fQf/ZtlOCBV2R3K26GVozip+89XliTrzlyAm5lP94SlvjKowJ/WPzOLikTy+MbeXDVq1w88CQeWzOTc3qfyM0L5lLh9hYUOK4dPoqu6RBbHzUwmiTeiItbzhnMZpnI9+OlOZfggplTiXoj3DL0m+iKB9s22GYYXDP3mR3sislMXfwGb9euIOoLM23kWXSVBuse/ym51hiuYJQe37y3XZUERaiFCIg2jKxGNt3AB69dXmjzBpw0jRIdh6b5aTAs3KqLqM9T7JD4aCl3HT2EukwtUW+IhGHxfzvc86uHHc2q9Hp+9+F7xFKtDCnrzM29T6L5UcGqpix6RND9u2VoZXHmv3Y546f8DW+oyy5SnnuLlDZmpom6t+/AjMecCNyTrkXOfLSklvE5Ylm5Mdl0wx3StqJCUWNub8WlquqafQBdjgRWSSnXAAghHgXOAArOCCnluvx3O4d5Hwa8I6U0AVMI8REwBfhv3skxFfg2cOYBjK/EflJK0zjI8BsajY9aGE2O88FokjQ+auE3OvaHNik1fvP+K0VVr3/z/iskZekH/auKtCQbH8+iuKBy3P6lZ9hS8vTWbfRXnbDLlFCwlc2gtNCsRvGZZXTKldPdTHJY8xQA6gNeXOi4bXBls5Tt5IgA6JaJYSPYpkdQpV1wRliK4zzT7N1L35qK46hwG1YhMsJnm4SNLFs87ecY+y3J6MYUMZ+bVzo1okjBt7YYlOckFRmLFi1N/2QnpGgAskCYp70X4NWfIGD2wG/D9M0baTTq93i9lEOiyLXbsLfF97hdiY7FTMqCIwKcdbb5MZuL+/Ul6vNw69hBaIpN1Bci3rScb42dhkcNsXX5S4W0DLE5iX7hmRDsmDx1W+rctODdojX5pgXvYsuOdxCX+PJT5vEzbeSUopSJ20dN4fkNc/hev+O4aeFjnNp9DDcvmEssleD8AUMKChy+XPt2iC+nEfV5ufqoIYRdjrRnLN3Ebxc+QRqFjNS4ZsHMXeyKU3ocnv/cwmXvP0ljspFcXnox1xoj/uF/+dbYaUUqCWePnYbfvWs6p9tXyajjpxbSPryBKKOOn4rbV0r97EhSUmNLKsETq5bzuzGDiPqc+922PvpUQRdvhJZM0y7r1s0fvo1b0QopO5f0GUvzY6JoPm38l4kwAow87na2vHMnZmr/0ymsZBN1T15akLI34zHqXr4R7dRfl9QyPicsKzemtWn1szNf+OGY1x4/o9fMF344prVp9bOWlRtzAN12BTbu8HlTvm1vWARMEUL4hBCVwLFA9/x3PwOelVLGdrt3iU+V0pPnQYa0KCzYbRhNErn7F7/7hWnbVLh8/GrIxEIY50PL52PuTiKxxJeeurcM0pttqk7QUb37F9g4ryXOpmyWYxSnOKQpJD1yQSqTE/FZPfDYjpNCUknYcOaaYqbp3grgxWpvoktJ92wtTVoIU9FRbAtDc952WKrzWdmDnKahOn16DYu0tn3J65JNstwfwRAKutx13vdP5tjozTE7Uo5mwzdrdVYEOzMwYbPeW8chia5otoKptCKkn4woZ5Yvw7CWFnobsFSdzJ/WXsHV/e5CV9p/oFQOqcaatRJr3lqUk4/4xOtbomOQZvvr7MBQkDsnDCagqVjSIuzyY5X1wqOGwM4RHTCFLoecgoYfYdQigz5UrWN8+oZttatEsLvK8iVK7AlVVZyonvFnkpM2QpG4FMFlQ87AkpJYuomQy08s5UQ7hFzuQiFBr9Boaefvo7fXxy+G9uXumne4bsTxhe9i6SZnnsr21TTCOxQLjqVasF3FkputsQ/pdOQP+OYx/0ETEq/I4XOVtRupqSgawfL+TDhlOrZtoigabl9lKTKigzFtG6/q4pFVKwjoOncffQQ2zhtMS5okTYOk0YApafeed/KECWqC+8afiS/rZVVTcQSi0STBVlGkoGXt29jW5ewv0soVHBGF8cdjSEUtqWV8TmTTDXe8//rllemEc1/SiRjvv3555fhT/nGHLxAd+1mPR0o5QwhxFDAL2AbMBiwhRBfgm8Axn/WYSmyn9Fd6kCEV0CPFD4J6RCA7+E65VY1LBo/nj4tq+Ok77/DHRTVcMng87lIth68k6S0WW1838PdVCPTe/0JgT2yto1zRyTY7zoJDMhEGpAbjs6pp1upZ5d5GjQsMs55gxincaGPgkxqmtLHZ1alQYTTjszNsyxcIbEvTkDhpGqpl7LLPjmTzzghfThYiIwC6ZFLYQrDV7Wt3PwGMaM6gSR9zImk2e5JMqqsmrvpQrRRuqdEvVQWYSJEF0tSrXWl0LyZgh/GaXVidLuOx2nt3OzYR8CC6V2C9vxq5r/q9JfYbobW/zm5IxfnVe2+TNA0kklSuHlXC7Acm8uFT56GgIv74DCLWhPl+zX7lNu8OXVEKb7HbiPqC6CVjusR+oqoKFf4g0UCYzpaF90/fIXzTJFxSEvVGiOeSRH1OZE88ly0UEmwwMu3+faxMbOOKuS/QkEsVOY6j3gi6UNCk1e4cbsmld/gcRsltL9rrrR6McvSN/PCdtznrlZf58TvvsjWn77GulKJoeAPV+EPd8AaqS46ITwFNUUhbOSZGowyprOTid9/g6688z8XvvkGraaIqgnimjlSusd177haCkCdMpT8IqrUbu9bESGzFFYyiHEA6hVBdhSLphfGHoqUUjc8RaVvRNkdEG+lEDGlb0d3ssjdsZns0A0C3fNvejUnKW6SUQ6WUJ+KYeCuAYUA/YJUQYh3gE0KsOoAxltgPSlbOQYbwmHT/rquwcDu5dS6EZ/dh6PuFhJvmzy+8CYmlUtw0fz7tPAuW+JJjm5KN/82iuqFy7P6HhK9IpGjc5uLwpt50yTrFG2sCH/Nu+UO8U/EsNcGV1GpgiTguCYGcs/xkVBsPGgbtz/Femc2YKNTrZQBolglCwRYqlqqjfcKb45zq9Os1JDsGg1Xm0rhsi/We3RcHXOmrQEhBRkvwZHUzEsnw5h5kyZATBoe2VuGyBYIMCBtJgg99HmzRSg/TwshN4a2mF/ggPnO3x1AGRpGNSey1dXs8jxIdR1LPUX6OKFpny88RZD0Wt44ei6aAXxW40bCSTU5qxuQ7oC6DbIpjPvYS+hnHQsD/CUfaezwY3HTk+KKw+puOHI+HPTvbSpTYK/wRR+qwLEpo3jNMO+p7PL9xNlcfOYqoL8BDKxZzzYijiPp83L1mUTt/H3D3mlmFdI/nNswCHEfEtKMuQK2twZtr4vcjJxWnhoycwgsbPsp/DjNt2BmU+ytwBfNqGKN/yW8WLC6yRS6fPZOmbElF5vMkICyiXj//b8hQbvlgXtH9uWrOLISEGSv/wZwNj3P7Tvd86sjJRLzb09d0t03372o72bUaUjTRtOQ5+p56J5pv/9MpVH+Eqq/fWaza9vU7UUspGp8bQlFjbalUbXgDUYSiHkgqxDygvxCitxDCBZwDPLtX4xFCFUJU5P99OHA4MENK+YKUslpK2UtK2QtISSn7HcAYS+wHJXfyQUbG2AYhNz1+XI6wnUiJrNoIRg6fp1uHHcew7SJtZ3B+ZIxSmsZXjq2vGmRqJZ1P1FE9+/emd0uLzZMLbfobnanXmlFVFx7bxQbfErwyiS4jWFJHs8uJGFkgi99QySk2LkVDkYJcOykaum3QNVvLNlf5dhnPfCSEqbmwFQ3N2rMSk61ITGHjy4miyAgV6JluZY0vRK5FwbVTqkZC1Vnlj9AnFSdop5hd7uGdikYmb+vEBl81CbWFQxNdeLHzh2hSwxQpwI8lWlnl2caAdB9qsyegu+/i/s1/oKenP5WuzruMT+lbhfWWijVnNWrfXb8v0fGkLYurV8/mkrOPoFz30GhkuGr1Im4cORqPJlDsNNIy8bjKkAiGnv4PFEVHPvISALIpDkIglI6LjDDtDHMX3cANg3+C2xUhm2ti7qIb6D66pBJQ4sARigKd++H+0X3Ixib6ZDSuGHw6yWwzfx47AcMy8Okad08YD6joiqTPjzWkLRCqoNWV5YaKE9EUgUxu4YSycqaM+T5mtpkuuhu9si+WgMTCe/nb6B9iKzqKbdC0+jmuGHImlw4+Hh2FwH3PQnUFA067B6lAox4mllpZNFbHFimlJ32eGGaCj5bfz4jDftWurWhLybmH/ZyIL4pHuJg+4QwM20YXgogngKrs8FubTKLZCXr+JAqWAqqNoqcRpkrP436L5ovsd/FKACEUXJ36ET3vQbByoLpQ/QfWZ4kDw+2tuHTk8VOfbUvV8AaijDx+ar3bW3Hp/vYppTSFED8DXsEx4f4ppVwihLgRmC+lfDafivEUjjLGaUKIG6SUgwAdeDdfCy0OfDdfzLLEQUDJGXGQoaoe1iebufrDx4mlWoj6wtw8bBI9/WUdehxdCKI+X9GPTNTnQ+/AsOMSBz+tK0y2vW0QHKji77Xv6RlSSmattZi5xiQjJBuD61mvNXFS/aEk1BSINGnhQ7Er0CwdUCkzcwAEDIW0JvFJHVtKDHY1PrtnY2jYxFydCm163hmRdTlvYvR8f3sip5l4TAFCwQkIcxwP/ZItrPSXsdIfYVCiYft5AfPD1SgSBrc24rNN6lwqT1dLeqcSTKjvzNzyzZSblXRLV6DLTSwLhEEYIFU2eLbQLVtND8NHa+YYDHUG9266nSt6/x5NFC+7QldRBlRjfbAO+bXhCH9JPeHTxJYSW1o0ZDP89IM3C+1Rn49tzUt4etZPKfNF+cbQK9HL+rLouZ+QaY050RFfuwX9aRDxpKOD2IGoQiOZqefp9y4ptDmKAqWf6RIdg1AUUP0Y/34K2RTHfeN5/GfWL/B7Khl5+FX8at4zBbtj6lFnYmyZR937/6DvyXdQHuhHMl3Hk69eRGty+8vNoD9Kj+On4wl3I90aoyH2PptWPlP43huI0rv/yXiDUWQ8QS6eRK6PIefWAKBf/K32bRFl/9MFSxw4qqKzrm4uvbp83O79sZHMW/YIU/qdj2mZrHr7+sI6OWTKnfjL+213Bigq4uHpKE2NhT5EpBz9p5eihDomekEIBS2wZzntEp8dquqaHYz0PX38Kf/oSDUNpJQvAi/u1HbtDv+eh5O+sfN+GRxFjU/qv2MqUpfYJ0puw4OMHC6u/nAGsVQL4BR7uvrDGeTo2Ny3CCq/HzW6kCMa9fn4/ajRRCgZAF8VjLjNhseyuMoFFWP2/YHHsCRPLTZ4d42J9GV4P7iG9Votmh0kaCkktFZUaaBKF6BRbnjQbJtg3plQllVJajY+dHLtpWhISZ/0RloVHwl1ezi8Km0UyyTn8oOUuPbGGaFY+Iy8o22Hh7uImSOaSbI0UElmB+N3vTfEFk+Qw1sb8NuOusf4xgzlps1D3RKkVZsBrVVY0mRMY1+WBjVO2rYFMEEIbKWVpb51eCSI7PeIGBZr0st4eutD7Y5PObw7mBbmnFKq4qdNUzbJH2pm8NvhRxatf7eNGs28ZfdQ5ovyrTG/J+TvQrJxHZl81f9Ma4yamb+Fk45Ev/BrHaai0UbQW8nZ43ZSFBg3jaC3pBJQogMJ+NF/cBYiEsKrePjW2GmMGfT/uGbha0V2x+XznkL0mkCuNcbqFy/FTDbg9VRw8vhpBbnNoD/KyeOn4fU4D4G64mPkTkoXI4+fiq74djk2gIiEiIRCTB0zvuhvceqY8UTcJafs54kLna8fdQNL1z7GraNGFd2f3w4/kruWvM4xw67E66vk47wjApx1cvHLv8ZI76COEQyhn/9jRMSp+yQi5ejn/xiCoc/8vEp8dqiqa7YvEB3rD3Xr7QtExx6oI6LEl5fSK5eDjJxtUuH286vBJxB2eWnJpXlo5WyMPUgX7g9qzqDHguX8fcIETAQakvCcGtThQ6Dj0qBLHKRIW7Lh0Sx2FqIn6SjavkXEJLOSJxbliMUlh0Xhr6l1qEoW0BC2j6ClskZvwUJDyApcsp6sPYFyM+vIdkrHGbEhZKCikJS75gd3ztUTspIs8/be5TuvkSapBnGZWdR2lDB2JqeaRDJ541a4QG53YAyL1/NSpx7MLuvK+KaNbHP5mBvuQmUuzYBkc2E7TcLx29I8U+3n310b+eH6TjSIHH2T1YRzHhYHM4xuqmdupDMCDw3utdRlelFpdEXkRlChf8zLDU8wMHAEgwPDi8anVAYRXSJY7y5HO+ZQhFryE3c0tpQ0ZZOkLYNTegzh5U0f8osjBhLWfbQYKcIuwclDfk4u20LYXYGqefngsW8W9ZFpjSE7l4G/CqWDVDTaUBSNqmB/Ljz2voJKQMBdUgko0bEIRUB1J1y/+C4Zoxm7dgWRHhOocNfsandISf8Ln6V16UtI20DTXETCfTnr+OnY0kIRKl7Fh9JSh62oKNLGs+g9Jpz0d2xsFBTEvJdQhp4E/nDRsbFsUBUI+Okr4L5jT8CwLXRFJeJ2d2hx2BL7jm2lMZs2c9LwK8nh5q7xE7CkpC4T556PZ1DTvIVfDz4OCQVHRBuZ1hi2tcNLAgFWyI3y058ghIoQOtJXhqqVXn6VKFGi5Iw46PCqLi457Fhu/PD5QrjktcNOxdPBVYFtXaNuUJC7Zn2bhlSMCl+Unw+5la66WoqN+ApQ+4pBco1Np4karsi+PVRtS9g8vjBHKgfH9FZ5y4xhCUmODB67HK+loKIQ11oAHwKdvuksm4RGuelUUQ8YCroUmLqCLW1y7aRoDEivIyNcbNN3DeMMplpASvyZPdeLaCOrmei2gsuEnCgu0llm5jiqpY73w1U8UT0QKQRhI8uExtguoWMhU3JMfZoZVV5ermrmlLoIceC4bQN4qttiRjZvpUdaY4O3CiFdLPUvZGzLGKzUtXi1Mwl7w9y3aRrX9b2bsrw6SBvqsB6YLyzC+mAd2sg+e3VeJfYOW0pWx+u4dO4ThXX1mmGncM/Hb1HTtIWoL8w9R53Gmy//EL8/yokn3oNqWXiC0SJD2xOMoih6hzsiwHEQirpGPPc9jWyKIyIhxA/OQlZ36tDaFCVKCEVAKIBIpshVdiWTqW3X7kgnN/HanKs4afw0hNuJBNI0F8FAFDOXQ2xbTe5fP0Q2xxBlUdwX/RU5/2nka39FkK+HXRaFEafvcuyi8QAVHs9ndv4lPhlFD+Ducjhrk81cl4/WbVs3EU4x0lzzGmSwc/vrZN5mtS0LY9sq6p66FDMec4pLnnQ9aq4SWdGjJL1ZokSJUprGwYYpzYJBAE645I0fPo/ZwXVWElqauxZfSUPK+QFpSMW4a/GVJLT0J+xZ4otO4wdGoU5EYMC+uZ7WNlg8PC+HYcLk/hqaL8ebrQ0IkUGgYMsAQemEZzZrzSiyjBAryOROQ5U24XxKRSTrHNfWVbLtpGhU5JroZDSx2V2FbKcIlSptylLN6HsZMZTWnNSQYNoCsatiSL9UnBPrN3FIspnhLXVMrt+IdzcF1LpnLEY053i+OstHoSTBrGRIS08OjUuejFYxcVsGj51ACI2c2sBqdyseO4KR/gHhbJq0nWL65qnYOxXsFL07ISoDmDMWI0uFZDuUpmyy4IgAZ1296cMXOL//GKK+MDcMm0TA7cXvj3L0MVPRNR/UvMPgE6fiyVf99wSjDJ50B7rvU8pLTiQx7nvSKY6JUyTTuO9JSCQ/YccSJfaPjCK4Z+F1GHauXbvDlpLWZIyXZl5G1iouYqgkG8j963Jks2NDyOYYuRf+gOu70xBlzt+MKIvi+sb1SFF6xfFFI2WniaUaCo4I2L5uXnTIeG4fOplt7/+ZVbP/wOBJ04rWySFT7kT3Oi8R7ERDwREBYMZj1L10PXbTJkg2tX/wEiVKfKUoRUYcZDgqFy1FbbFUS4erXBi2QdhdyTeHXI5PLyNlNDNjxf2YdklG7stMYpXF5idzeLsqVI7TEPsQCrtws8krS03KPHBsXw2/DtNqtwASC4OQXUlSSgK243CIaxJQOCzu5mM9SKWRLXg/IxnHOM3pgszOjjYpGZxcQVboRYUrD4T0/2fvzOOkqK7F/71V1dXb7DMsDSjIokYBRZFVRFxxiT5NnkueiT63LG5hUZMYJZi8aFg0cclTXBL15RdjzCIqahIXAiqbIiC4DSCyNAzT07P03lV1f390TzMNzaLMMNv9fj79me5bt26f6jn31q1zzz3HldHrkoRNyF/Yy6hHOkGPdOKA2hvemKLepfG7wyPc+YlJv6iXkbXDibqW8fe+Pn6w8RPuG3Q8CD/b3GvoYY2nPPlfJF0rGOIJ81F0FQtqn+P8Hpfn2hRCoI8ciPXqauwVGzFGDTr4C1cAkHLsguPqoOJK7hg6gpfW/YLvnfgLzjp7Hl+seJwjTrgG9zETMXyVnHDBk0gnjdBcuHyVaHobPVjZds4Q0YwMN2bc2RWKVsKRDrFkGMtOkcYhFAuiae6C/cNXdBhHH3EhH298AUfaJJqCGN4qDMMFjp0zROTwleKU9UD84DGkYyOERnrFAsyy/BR/io6PLS1Mw19QL/oXVVIUC8KYm0knG3H5qjLjJDaabuLyZjJZSOmQ1mxKL5iJrntIe/04AoTjQEoi7RT7moFI6WBHw5l6KkOGQtFlUb26g2FqOgFfaV5ZwFeK2cqRpV2am/OPncLP1/2eq5b8hJ+v+z3nHzsFQ1NBo7oq0U02nz+dwCgR9DzddcCu346UvPlZmlc/suhTLDj7SIMiU/BerJEPExEsEUPDIOZ4sfUtVFg+kiJFQnjpb68gmr4AR2h5D/qVCQNLSKKahU3+w1afVA2VVgObPH1y6TwPlrRmYwmHkgSZmBEHiQDGhxIUW2l+PTCMLSRjQ0fyn5u9JDV4pt9grty6GJDYRpxqM05SSOzovTREIwxxH8ULNX/g0+iH+e0O7onoVUJ6/kpkUhkGWwvXXsbVcHwLjyy7kYZkLbowkFaKhm3LEQhAYLjduIt74inti7u4Z9sZIgCp67nAfs2I8hKkih+iaCUc6VDTUM3j//oOv375PEKNG6n0BYilwgX7x+fRzfT72uUcd/S3EUKwcv51xMPVWFY6kyGhhZFBO/ECxGlXE4/uYOX861j6xwtZ+eL1pIeNx3H7DvWlKg4SXRikrOhe9GIT20jx2ZIHqH5nLunITvjzYswmHZenImeIaKyrZtGC66he/xINpuD3i27ggVcv5qnFN1FrpJDm3vVCSofUzmqCz1zJlkfOJ/jMlaR2ViMPIEaUQqHoXKhZTgfDJM0vRpyVuwE0p/Y0ad0Hk5RjceeqXxOM1wAQjNdw56pfk2rlQJmKjkH0c5uNTybQvYLAuSa6+8AMEQlL8vwHaZZusjmySmPSIB1TFzTYaZ6s3QykETiUOj2QIo1jbKMqVU7IbMQjahi4czI1ZhFe26LI3qVb/SImMbcgsZteG06a4yIfE9G87HC1oju8gLgrRWlCgNBpDacwAzizJkHcsPhnryg6Gv0bL2J6dYwdXod3SocxPPoRQujEXZ/zqamjS5NI5BHspnrKjQoe2zKLiLVrNVwIgX7KUdAYx3p19UHLqMigY3PXCZPzxtW7TpiMJmwqfQFuGjUXw7LRXR6GnjkL3fDgeA9xpHchMC4/Ny/TgHH5uaAC+SlaiVgyzLOLp1Cf3Z65aO1jXD9iJku+eJ6fjTgjr3/8dMRZPPbpU0x/75ccefTl1H78SiajzD9uxYrX4vgrMa+YnTNI6Kd+BxuLtf+8LT8DzT9uxSoQoFjRsfEINwFvBTN3m48268Vta35N5YlXZ/7H/7oVOWZw3rayZDzM0n9NJR4J0v+4b/PcO7fm9K4+FuS5d6YTkXvfFmxHw9T8ZWr+9o6/TMVWWzu6NUKIyUKIT4QQ1UKIHxU4PlUIsU4IsVoI8boQon+2/HghxLtCiLXZY5e2OOcJIcSqbPnzQoiibHn/bBurhRBvCSH2SBmqaB3a3RhxAIrlFkL8KXt8qRBiwKGX8tBh2wmWrvoFdx87gqfHX8Tdx45g6apfYNutezNPO1bOENFMMF7T6lk7FO1Pw1qLDY8n0D0ZQ4ThO7CHm3DM4ZllKTbWOYzupzHmMB1NCKSUzKv5gqhjI0WSUllKo3Rh6V+gyRSVqTJ2uiKMaEjTpPchqpv0SsVz7piGDRUJjSb3noErh0U/xeMk+czbv2CsiIMhYiYpTRjoNtBKHkBeRzJ5R4x/VzSx1W9joBFo+jbfX6/xSYmgNOGh3KrFMnYS01J84qnHb/egpulBeqfKaLTCPLn1vrz4EVrvMrRj+mC9sQ67ekeryNndSThJHvzoIaYMG8UjJ3+TKcNG8eBHD1Hm7clVx06jxFVKIrYD6djEV/wZUnH0+KF9gBKWhfXyQoz/OA3zhssx/uM0rJcXIqzCsUsUii+LZadyD4QAW+vWsHDVg1wxbDp9DZ1HZzyBRAAAIABJREFUx1+e6x8Pf/xbPmz4hGC8Bks6bFrxv0A2o4xjY5gmsscg3Nc/hmf6C6C7QNMKZlaQal7R6bCtKBvXPEN/X9Fe9UJ4MkaKRFMQ6TfztpU5dop4JKsLQsvTO8gYJOx9xEKTdipniGjGagyCvf9U3oquiRBCBx4GzgGOAS4XQhyzW7WVwEgp5XDgeWBWtjwGfEdKeSwwGfi1EKIse2yKlPK47DlfADdmy+cAT2fL7wbuaaNL6/a0a8yIFop1JrAFWC6EmC+lXNei2jVAWEo5WAhxGfAr4NI9W+saaJpBNFHL39++MVdW5gugtfY2DaET8PbMM0gEvD1xqUBTXQbpSHa8nqbm9TTunoLeZ5vongMzRKwN2rz2cRoh4MxBOr2LdxkG/lQX5MNEFCli6OjEbR+OVo/UttMzVYmBThEfIOOn8rmvBNOx6dlii8bx4WI0BDvd+ZOKwxNbOSKxlS/cvWky8qOttwZNZpIAgsqopMbnAad1AgOWWpJTd8Z4vTLCebIUV8phROgirtKW8vsBcEFwE//s6SdlbKPR6s9a/0cMjX6NTeF76V9xN6sjy3hm20N8p8/NuRge+oSjcLaGST29GM/0cxEl3laRtbtiai5CqTDT35uRKwt4exJqWM9bK+fy7QkPYVtxhNBJbloO46+HQ51SU9ehMUr6d3/PFYnykkz6Q4WiFTB0kzJfIO/BMJqoxYXgvX/8kOO+/gQzVv1yj3mB0WJe4CkOILLzEcM0wcx4RtiN28FKF8ysIFR62k6Hphns2L6MDc+/wEmn3ceMT3+/h17IRCaehKc4gIim8sYrTTfxFgUyBgnp7KF3Zb4A+j70QugmRkkgzyBhlASglTPLKdoO206NTcRDcx1pBTRhBD3eymm6br57EE2OAqqllBsAhBDPAhcCuWdGKeWbLeovAa7Iln/aos42IUQN0AOol1I2ZtsTgJdsIiAyBo+p2fdvArtuzopWpb1nOTnFklKmgGbFasmFwFPZ988Dp4svE3Wvk1HkLueScXMo82Vu8GW+AJeMm0ORe8/0hgdDubuCuSfeQcDbE8jcWOaeeAfl7or9nKnoDCR3OmyYl6Dm9TRFQzQC5x2YISKSlPx9TYoX16Yp8wjOO8rIM0QsqK/hlcZaJAmQEtMuwRJgG5+h4aZPcgAAenwUYcNDk+GmTzKWG2iKbIMjG9w4QlLj2bVFo2eqlhFNHxHWi/nc3bc1f4pd12YmcZD0arJBa909zFVph96xWjZ5kzR4ND4tSnDyzrHc9tHJLKw6igl1a3GM9UiRopEAa/zLKLF6UFc7i4r06Syqf40/bZ+Hk90PK0wDY/JwiCZJPvIGMqHiRxwM5e5S7jtpRt5494vhN/PRxhe4ZNxsdNvGX9SH9ObV9LxoNsLwgb/1DWL7pMiP65qL87ZpuK65GIr8h1YORZfF5y7nspPvz5tfXHby/fg9VYw6fTbJbR8wZ7d5wZwT78DZ+gHQnFFmNoa3ao+29aIqdGFw7JmzdstAMxuXt40y0CjaDLennFMnzcHvD7Bh9e+4d/gP8/Ri1rAfEnrvycz/+OT/QSypzhuv3N5yRp9xH96iAJtWPcMl42bnz2vHz6HIs6ceNaP7y+n5jfsyBggyhoie37gP3d+6c2FF22DbqbH19evnv/bqtWP//tcLB7z26rVj6+vXz7ft1NiDaLYvsLnF5y3Zsr1xDfDK7oVCiFGACaxvUfY7YDtwNPBgtngVcHH2/UVAsRBCDWZtgJBS7r9WW325EN8EJkspr81+/jYwWkp5Y4s6H2brbMl+Xp+tU7tbW9cD1wMcfvjhJ27atOkQXUXrY1kJIskwjmOjaTpF7nIMo/VzcFtWmnCyjrS0cQmdcndFJkq2Yn+0mjGstfXWikp2LkpTuyiN0KFyrIviA0jfmbYl72+2eXujhe3AsN4aQ3tpaFm7n5SSZ+o283pjPZIkkMYli7FlCbbxMQgLgcFlOwbgTvdjo6uW1f5euKXDsdF6NMB0NE5sKGPkJo0an8XqHhk3+D7J7ZzU+CEx3cMa35FYbbiKNrCukuKUl38crWGlNwCt6wIf1U0OTx9GRHfYaIaZXFOJI2xeCXzCTu87rPaPwUwPJ+H6GJ/YyvGNE9ClTq1/ISnfLxhdNpar+07FpWVztG/cifXyKkTfMtzfPQ1RelBGlA6rt4cCRzqEkw2knBQa4JYSkJjCREgbQ5iQjiPcJeimF6Edelu9dGRmz7XtZFYYi/wHHGi2C9MqP0Bn1Nm2oGU2DUM38bnL0YSG41gkY7UI3UODTGJJG0PoVJil2PFwJjuGpu/KplGobcfCjjdiO8lsfQOXtxK9+80rusRYa1kJkol6HMdC001iAizp4NJNiqVAWgkEOi7Hm/Hq2228ktIhGQ/jOCk0w0fSjmNLC10zKPJU7dMzovl8OxrObM1Q2TQOBa2mt9FI8J3XXr12bDS6y7PF7w9w9uTH3/UXBcZ9JeEO4JmxRd0ryGy3mCjlrqA1QogA8BZwpZRyyW7n6GQMEcullL8TQvQBHgKOAP4NfAMYKqWs/yryK/ZOl/Gdk1LOA+YBjBw5sv0sLK2AYXgoM9o+FZZhuOhh9Grz71HsndbQWykliaBD+D2LuuUWTgqKBmtUjHbtNz5EJClZvc1mxWaLWAr6lghO6qtT0sKLYnsqya9rqgmmbSAJ2GhOBTY+HP1zEGCQ4IzIcorTdxMSTXzqrcQWGoNiDWiA3zY4sb6Eo3ZoaBI2lqZxO0mOiVZzRGIrjbqfD31D2tQQAbC9qJHyWh/jNsKKQCkxva5V2/fbKXbq2whYfTlClPNk/22MqSvloq1DaTKOZEh5NYvKtlPP0UTNBO+UvcYxkdH0ip5GJDGKJYm/si0+jWsO+yGHewehHdED4/zjsV5dTeKel3BdPBJ95IB2eVBuSWccbzWhUenZ36pa2X6Oty1CE1ByiD0yugmdUWfbAk1oFHn2XNzTNANvUW8Adl/6cBUf2HxE0ww0fwXdzvTQhrSn3hqGByOrEwBf1kdLCA2Pb5eueSjdR+3C5xtFaiG6M+JIK9DSEAEQjQZxpH0wDzdbgcNafO6XLctDCHEGcAd7GiJKgJeBO3Y3RABIKe3s1o/bgN9JKbeR9YzIBrX8hjJEtA3tbYw4EMVqrrNFCGEApUDo0IinUHQ8pC1JhiTJHQ6RjTaRz2ySOyVoUDRQo+w4A7Oi8MOqIyWhqGRz2OHTnTZfhCWOhECxYEJ/jV5FmfOklHySbOLP4a1UJ1JIJJBGSA+aLAEcHP0L0OL04D3Oqd1EInUPElhe5CGquxgSa6RHGnqnigikPAgsNCfG5vJahiR30K9hBxo2m81efO7p2+oBKwsRM9NsKA/RK1qBZZaC3UBre0doMk5I20KZ1YfzQn15ryTKmtIgQxuLmLjza0zaKdjqtvi46Hg+KwqwoXgt281NDEwcw+FN3yERuZSfh9YwuPxlvtV/OIcNOAzXJaOwXl9H+v/exnptNfqogWhDeqP1KAGfiVBxBRQKhUKhUHQANGEE/f7AgN09IzShB/dx2v5YDgwRQhxB5tnwMuBbLSsIIUYAj5LxoKhpUW4CfyMTkPL5FuUCGCSlrM6+vwD4OHusCqiTmXyyPwaePAjZFfugvY0R+1UsYD5wJfAu8E3gDdmee0sUikPM1heSJGscrLjEjoPVKGlOviAM8PTSqBqv4x+o47hge6MkVWuTsiFpSZoSksYEhOMOO5ok6ey5flPSszyB5q2jxt7O07VNbNspaZB+bPyAC9BAmmgYgBuBwBH1OPoOiviYE2LbsJouI2EPotwxWeWRRDWd725z8Dkl6AgcJLasZWJoEZhQlQILjVpXBZvdvYjrhzY4Y9gb4/PSFCmjNxiHQboWnEirfoclEtSxCa+o4qTGYjSKSAmHT0stPvQ1MbzRy6khndNDvYBeWEJS50oT1xMIodNonsi6+Ege3WYT1SMk9QSiXznjSw1O3h6h98uryGxnBHlYBd7p5+aCXyoUCoVCoVC0Fx5v5bSJk+bMX/jm9KpoNIjfH2DipDm1Hm/ltK/appTSEkLcCLwG6MCTUsq1Qoi7gRVSyvnAbKAI+HN2TvSFlPIC4BLgFKBSCHFVtsmrgNXAU1mvCUFmYvX97PFTgXuEEJLMNo0bvqrsin3TrsaIA1SsJ4BnhBDVQB0Zg4VC0W2wIhIrJtFMgeEH/xEaZoWGWS5wVwmEvushtD7m8If39kx95TchZYRZb1bToBs0uhqIiTSa0w+iAD6QFWgyYxhouc6e8YpIILUa0DYx0F7EpLog67iSld7v4vLD4Y3wgdcmpDVyZKKRRqOCiBTE9DT1egJdpvCW90FzBGl8NBhenJwnxKFP+xY1kljWVjS9kqRuYettky6skc3USgO3LCYtfKQ1ncWVUV7vmcLlNDAg6qVP3EdVyqAybeK3JYZMENIjrPJHKLN8+G03RVYAT2oAnxiCT/qBv1eCQCJMWSrKWncN859fgOP6gKOLfDxzxpQ2uRaFQqFQKBSK/aHr5rtlZYMuOHvy43MdaQc0obdGNg2klAuABbuV3dXi/Rl7Oe//gP/bS7Pj93LO82QSJyjamHYNYNlWCCF2Au0dnaoKqN1vrUNDR5Glo8gBBydLrZRycmsKAx1Gb/dGR/rffVk6q+ytLXdb6m2UzvMbdyZ96EyyQtvI2+p620HH2s7wv1YyHhhdbY7QEX7T1kRdT2HaRG8Viv3RJY0RHQEhxAop5cj2lgM6jiwdRQ7oWLJ0Bjrz79VZZe9McitZ24bOJCt0Pnk7Ep3ht1Mydk+62m+qrkeh6FioqGcKhUKhUCgUCoVCoVAoDinKGKFQKBQKhUKhUCgUCoXikKKMEW3HvPYWoAUdRZaOIgd0LFk6A5359+qssncmuZWsbUNnkhU6n7wdic7w2ykZuydd7TdV16NQdCBUzAiFQqFQKBQKhUKhUCgUhxTlGaFQKBQKhUKhUCgUig6LEGKyEOITIUS1EOJHBY5PFUKsE0KsFkK8LoTo3+KYLYT4IPua36L8CSHEquw5zwshirLl97eo/6kQov7QXGX3Q3lGKBQKhUKhUCgUCoWiQyKE0IFPgTOBLcBy4HIp5boWdSYBS6WUMSHE94FTpZSXZo9FpJRFBdotkVI2Zt/fB9RIKe/drc5NwAgp5dVtdHndGuUZoVAoFAqFQqFQKBSKVsG2U2ObosF3Gpo2b2yKBt+x7dTYg2xyFFAtpdwgpUwBzwIXtqwgpXxTShnLflwC9Ntfoy0MEQLwAoVW6S8H/ngQsiv2gdHeAigUCoVCoVAoFAqFovNj26mxoYb1819ZNL2qKRqk2B8YcM6EOfMrSwddoOvmu1+x2b7A5haftwCj91H/GuCVFp89QogVgAXcK6X8e/MBIcTvgHOBdcC0lo1kt3ocAbzxFeVW7Icu6RkxefJkScaypV7q1RavNkHprXq18atNUHqrXm38anWUzqpXG7/aBKW36tXGr1YjlgjNbTZEADRFg7yyaHpVLBGa25rfszeEEFcAI4HZLYr7SylHAt8Cfi2EGNR8QEr530Af4CPg0t2auwx4Xkppt63U3ZcuaYyora1tbxEUii+N0ltFZ0TpraKzoXRW0RlReqvoLDiOFWg2RDTTFA3iOHbgIJrdChzW4nO/bFkeQogzgDuAC6SUyeZyKeXW7N8NwFvAiJbnZY0NzwLf2K3Jy1BbNNqULmmMUCgUCoVCoVAoFArFoUXTjGCxP9/uUOwPoGl6cC+nHAjLgSFCiCOEECYZI8H8lhWEECOAR8kYImpalJcLIdzZ91XAeGCdyDA4Wy6AC4CPW5x3NFAOfNWtJYoDQBkjFAqFQqFQKBQKhUJx0Pg8ldPOmTCnttkgUewPcM6EObU+T+W0/Zy6V6SUFnAj8BqZ7RTPSSnXCiHuFkJckK02GygC/rxbCs+vASuEEKuAN8nEjFgHCOApIcQaYA0QAO5u8bWXAc9KlXqyTWn3AJZCiCeB88mkUhla4LgAfkMmsEgMuEpK+f6hlbL74kiHpmSYtJPCpZkUu8vRhLJhKRSthepjCoWiq6DGM0UhlF50L3TdfLeydNAFF5/x+FzHsQOapgd9nsppBxG8EgAp5QJgwW5ld7V4f8ZeznsHGFag3CHjJbG37/vZV5VVceC0uzEC+D3wEPD0Xo6fAwzJvkYD/8u+o6cqWglHOmxtrOY3S6cQigWp9AW4ZfT99C0ZrG4iCkUroPqYQqHoKqjxTFEIpRfdE1033y32B8a1txyKjk+7jwJSyn8DdfuociHwtMywBCgTQhxMABTFAdKUDOduHgChWJDfLJ1CUzLczpIpFF0D1ccUAFJKlBeoorOjxjNFIZReKBSKfdERPCP2R6G8sn2BvCAoQojrgesBDj/88EMmXFcm7aQodVdx+dBp+M1SoqkGFnz2FJaTam/RugxKb9sGKR2sWBjHTqHpJoavHNHBVmAc6ZB2Ulx7wt25vrUhvIZQLNjh+5jS29YjGXFY+lQCOyU56QovRT06lp52FZTOHhy2Y9EUr8WSFoYwKPZWoWv5U8i0k8o9cDbTGcazjkxn01spHdLxBqIygS0dXIYbWzpKLxQKxV7pDMaIA0JKOQ+YBzBy5Ei1xNQKmJqbbx5zE0+snJFzrbtmxExcmru9ResyKL1tfaR0iNdWs/6lqaSagpjFAQadfx/eqsEdxiBRyG316hEz+Mu6h2lI1mJoZnuLuE+U3rYe6xeniddLEPDxP5OM/Ja3vUXqkiid/erYjsXWhs94YPn03Hh180lz6Fs6JM8g4dJMKn2BvAfPSl+gw49nHZnOpLdSOsTDX7AjXcvDq3bNG28adR/H957IB9sX5uoqvVAoFM10jJn5vjmgvLKK1sd20jlDBGQs2U+snIHtpNtZMoVi71ixcM4QAZBqCrL+palYsY7jElrIbfXJlTO54KjruGX0/RS7y9tZQsWhwLElwQ8tKo/Q6DvMILTRId7gtLdYCkUeTfHanCECMuPVA8un0xSvzatX7C7nltH3U+nL7KRtjg2gxrPugRUL0xDZkjNEQEZXHlw2lcuHTVN6oVAoCtIZPCPmAzcKIZ4lE7iyQUp5MHlqFQeI7aQLutYpY4SiI+PYqZwhoplUUxDH7jguoXtzZ+5TfASVvoAK6tVNaNrhYCWhrJ+Ot0ywdTWENtj0G6H+/4qOgyWtwm720sor04RG35LB3HnK01hOCkNlTehWOHYKaXoL6oomdKUXCoWiIO0+Eggh/gi8CxwlhNgihLhGCPE9IcT3slUWABuAauAx4AftJGq3wxBGzpLdTKUvgCE6gw1L0V3RdBOzOF9vzeIAmt5xXEKb3ZlbUukLYOoeNUHrRtRvyXhBFFVpeEoELi+EPrfbWSqFIp8vMxcQgM+GIivzVxwiGRXtj9BdiFS8oK64NJNSTyWVvgClnkp1n1N8JYQQk4UQnwghqoUQPypwfKoQYp0QYrUQ4nUhRP8Wx2YJIdYKIT4SQjwghBDZ8leFEKuyxx4RQugtzrlJCPFx9tisQ3OV3Y92Hw2klJdLKQNSSpeUsp+U8gkp5SNSykeyx6WU8gYp5SAp5TAp5Yr2lrm7UOSp5OaT5uS51t180hyKPJXtLJlCsXcMXzmDzr8vZ5Bojhlh+DqOS2iRWVq4b5ml7SyZ4lAS3mJj+sH0C4QQlAQ0QhttlVlD0aEo9lYVHK+KvVV59Zrj9Xz83JV8+Pvz+fi5K4nXViOl2nrU1ZHSwU5GKHKXc8NxM9WWDEWrkzUSPAycAxwDXC6EOGa3aiuBkVLK4cDzwKzsueOA8cBwYChwEjAxe84lUsrjsuU9gP/MnjOJTEbH46SUxwJz2u7qujdqiVuxV2SiEfHha/x41IM4mo7m2MTWzEee0BP8yiCh6JgIoeGtGszRlzzVYbNpOPEGUm8/xpRjpyG8pch4A/G3H8OZdAe66lvdhvotDkVVu/SyuKdGaINDLCzxV6g1ZUXHQNcM+pYO4afjn9hnNo29xes5+pKncKlxrUtjxcJUv3AjLn8lgbE38pMxv8XGwWX4KPH2UJ4Q3RDLTo2NJEJzHWkFNGEEizyV0wzdfPcgmhwFVEspNwBkt+9fCKxrriClfLNF/SXAFc2HAA9gknHYcgE7suc0ZusY2ePNqwHfB+6VUiaz9WoOQnbFPlDGCMVecewUNSufgZXP5JX3PO7SdpJIoTgwhNA69OTXsVM0bFhIw4aF+eWn3NpOEikONVZSkmyS9BiU8wjFX5GZsDdud3LvFYqOgK4ZlPl777NOZ4jXo2gbmv/3qaYg1X/7Xq586FUvKUNEN8SyU2NrGtfPf+7t6VX1sSBlvsCAS8bPmd+zZNAFB2GQ6AtsbvF5C5lYgnvjGuAVACnlu0KIN4EgGWPEQ1LKj5orCiFeI2PseIWMRwXAkcAEIcT/AAlgupRy+VeUXbEP1Aih2CudYe+9QtEZUX1LEQ1lXNc9Jbs8IDylAqFljBEKRWdDjWvdF/W/V7QkkgjNbTZEANTHgjz39vSqSCI091B8vxDiCmAkMDv7eTDwNTIZGfsCpwkhJjTXl1KeDQQAN3BattgAKoAxwK3Ac81xJhSti/KM6MZI6ZCMh3Ou7G5vviu74StnyMWPEieFFAIhJV7MDrX3XqHoyDjSIZYMY9kpDN3Ea5SQSNRhS4sB33iEHf++j4YNCzGLAwy+8CFsIUk3BQv2R0XXIhrKeIJ6SnfNbTRd4C0TNG1XQSwVHRPHtojHQ9iOha4ZeL2VaHpmKtk8Z0iQwhECTUo8as7QLWiO1bT+pakY/kqqxlyHWXY4KU1iZGOG7Gu+2czu90yfyrrRKXGkFajfLatKfSyII+3AXk45ELYCh7X43C9blocQ4gzgDmBi8xYL4CJgiZQykq3zCjAWWNR8npQyIYR4gczWj3+S8bz4q8wEcVomhHCAKmDnQVyDogDKGNFNkdKhsa6apf+aSjwSxFsUYPQZ91FSMTh3g3Bsm7DdyJ/emU7WzYpLx82hp90T3VA3B4ViXzjSoaahmmcXT8nrP++vmcfGrQsp9gc4d8JcDjv1R2iai1h8J0tfvGqv/VHRtYiGHBDgLspfaPGVazRsywSxVIswio6EY1vU1Vfz8uJpNEWDFPsDnHfyXCrKBqPpBlI6BecMvWQvNY51dSS4ZQlHnjaHxiLJgsXTd+nIKffjFibvvnbjPu9vhe6Zl518Pz1LByuDRCdDE0awzBcY0NIgUeYLoAk9uI/T9sdyYIgQ4ggyRojLgG+1rCCEGAE8CkzeLcbDF8B1Qoh7yGzTmAj8WghRBBRLKYNCCAM4j10Gir8Dk4A3hRBHkoknUXsQ8iv2gurd3ZRkPJwzRADEI0GW/msqyXg4VyeSrOWttfM4Y8Q0rpj0GGeMmMZba+cRSaq+qFDsj1gynJtUQWZV4E/vTGf4UZdz5ilzOGXs3TQkarE0nZSTIGXFOHbMVMp6DC3YHxVdi2jIwV0k0PR8g4O3TJCOQyrWToIpugW2ZRGNbKepcQvRyHZsy8odc6RDQyJEbSxIQyKEk13ZjsdDOUMEQFM0yMuLpxGPhwCIxGtzhgjYNeZF4mrO0OWJRrAef4h0vClniICsjvx7Ck2RLXvONxP1xCM1RBq3Eo/UEE3U7XHPfHbxFCLRHaRiIRzbRjZGkOGGzF9nV9ahvemson0o8lROu2T8nNqybFaVMl+AS8bPqS3yVE77qm1KKS3gRuA14CPgOSnlWiHE3UKIC7LVZgNFwJ+FEB8IIeZny58H1gNrgFXAKinli4AfmC+EWA18ANQAj2TPeRIYKIT4EHgWuFKqVFdtgvKM6KY4dip3Y2gmHgniOLsCTUkEI466nMc/mEkoFqTSF+Da42egMocrFPvHslPs7qbo91Rhu4t4bPWuPnXTqLlseP9RtmxeiN8fYNy4GXyy4mHqd36Y1x8VXYtonZMXL6IZb3bbRjTk4PbrexxXKA4W27Kor/+MhW9NJxoN4vcHmHjqHMrKhiB0ja2N1fxm6ZTcGHXL6PvpWzIY27FyD5nNNEWD2E7GkGE71h5jXn1s13FFF8aykOE6HL+3oI7ohjevzO2tJBar4a03p+V08NSz/reg/sQi21j7+gyGnjUX88W1yA+rEeUluK65GHr3QAq5V51VHhXtg6Gb7/YsGXTBVZMen+tIO6AJvTWyaSClXAAs2K3srhbvz9jLeTbw3QLlO8ik+Sx0Topd2TgUbYgyRnRTNN1k4NBv0/eoC0DTwHHY+sl8NG1XsCEHyQc73mbKmAfRhIYjHRZteoGeAw/bR8sKRfvjOBaxeG1uX7PPW4Wmtf1wJ6VDIhHGtlNoQlDmC1AfC9K3Yhhjv3YlPUoH8+bGv+zRp0YO+TpbNi8kGg3yzjszGX3SNNYuuS+vPyq6FokGSUX/PSfKnpJMWbTWoeJwZYxQtD6JRG3OEAEQjQZZ+NZ0zjn//xFLxnBpbqaMeZBXq59h8Rcv8JulU/jJ+McRQnLuqQ+wYs1jABx37JW4PRVYemYs04WRG/OaKfMF0EVm7G05PhqGB+nY2E4aXTfxeFSMnM6KIx2azDTpKTeief0c0XciG7fuyhRV7M+sjo88YzYus5R0qgGPtwerVj3K8NHTcLlLSScbSCRCOf3pVzGM8Udfid9TgcfTk8GT7mLje49y5Jir4MNq5JGHE/XbpOJBbOlQF6+h1F1FKBYkFAvym6VTuPOUpyn1dNysWl0dQzffLfMHxrW3HIqOjzJGdFNc7hKqhpzN04tvytvb6XKX5OpomovR/c7m/iU35azNN5w0G01ztaPkCsW+cRyLUP1nLFi0a8/quRPmUFk2pE0NElI61IerefONKUSjQfr1m8il4+bw1tp5OQ+jKaMfKNin/Jo/1040GsT0VDD6jPtwe1Xgt66IlZRYSTD9e3pGmH7QDIjUKjdjRdvgOFbOENHM0GHXsyOxjYeWTc9T9V9XAAAgAElEQVQbmwAWf/EC9fEdPP3G1Rl363GziNkJHll5V95KdG+zL5eOm7NHzAifVpw3Pnq9VYw44SbeeXtGblV80mn3U1auYuR0Nhzp7OGVcFNWb5pjI513yv0YGLy9+K7cvXHk6Nvod+zlPLJql5fg90fczbcmPMTrqx9g9JGXM3/5zJweXTRqJoETrwbLD6OH0nj2UdSntjJv6Yzc+VePmMFf1j3MhvAaQrEglvIsVCg6BWrU78JYVoqmSJCGps00RYJY1q6BOZoIFdzbGU2EcnVsJ83Dy28llK0TigV5ePmt2E760F6IQvEliMVrc4YIyLiILlg0nVgb71tOJMI5QwTAli0L+XjlPM4aMT231ck0PAX7lG6YVFYNA8DvD+Dz91LBK7sw8YbMttNCxgghBJ4SkUv9qVC0Nppm4M+uVldWDeOsc35PZb9ROUME7BqbJg/+NpW+ALFkHZCZKzQmwzlDRHPd3yydQsRpZNP7j3HxsGlcPzHzd9P7j5F2mvLGx2OHXZkzREDGAPvmG1NIJFSMnM5GUzKcM0RARhceXH4rY0fexpUXvsLXz3gc6fKR0gWDBl/ExElzGHnSNNICHs0aIprP+9+Vd+EyvJx74u05QwRkdO5vy2agmX6SfoPkeSOoiweZt3JG3vlPrpzJuUOuBKDSF8BQnoUKRadAeUZ0USwrRV3Del5pEdH4nJPnUFE6CMMw9763U+7a22lLKzfQNxOKBbGlSjun6Ljsb19zm32vndpjtXHLloUcO+qWXD+ypb2XPmUx/IQb+GzdHxl+3PW4PVXKENGFSTRmDA3uAsYIAK87SXSnmkgr2gaPp4qJp85h9ap5HHv8dTQ4MYqdVMGxSRc61x4/g0WrH86VG4a3YF1L2uzYtJAdmxbmHXNGTUUic+Oj2yzdY6yMRoPYtlrJ7myk96I36XSUJpnmweXTW3hMzCGy7QM0VxGWy9zrvVCgFZyfxlMN/P2fV/MfZz65Vx30m6U5T51it/IsVCg6A2q220WJJ0I5QwRkHsZeWTydeNbzQdcyeztb0nJvJ4AuDCp3q1PpC6ALtY9Z0XHRhJ7bo9pMsT+A1sZ6q+tmbrWxGb8/gHCcXD/ShV6wT2nC4PVlMxk5+jZKywZjGGorVFcmsS/PiLoQxevfJ9EEVkoF7la0PrphUFY2hJGjb6MxWcejK2dgS7vg2GRoJis/+SNb69bkyi0rvte5gbcov9xbFEBoet74mEw1FBwrdV0Z4DobLs0srAsub84QAc0eE9Pp1f8UXl82k2SiruB5wk6joxWcnyYSGe+cRKJurzrYw9eHO095WgWvVCg6EcozooviyMKrw07Wq6HIW1Vwb2eRtypXX9cMfnLyUySliS0ddKHhFik0oSbIio6LKUy+PvFB6mPbcBle0lacMl8fTNG2E12Pp5xJp92fc0X2+wOcOmkuoXXz+f5xM/jfVTMR6Ewb/3+kHQcpU7y76U+cOuCbWMLL6ac/Q1TTMLGR0UYcO4Wmmxg+FditqxFvlAgBLs+ex4yV7+N1NgFjiGxspOyo0kMun6JrkbZS1KVipB0HXQhcmkaZy4eUNnp2hfnV6me44aTZPLz8Vr5WNZozh1yPJtykpOS0YTewo+HT3Fyh0teHW0bfv0f2Aq8wGTHhLlYuupt4JIi3KMCICXchhJ43Pq5d8xTjxs/cI2aEx6NWsjsTUjqYaNw8ai4PLJuW04UfjLgbKWVBzwUHSVM0yKq1T3HjSbMIpeKYhp+UFaWn6cewLEzDxWXj7+PZt6fmdO4/x84ikk5y5pnPYNtJKjwlXD9iZm6rRiYz1X2IVlx0cKRDONlAykljai7K3aX7NHA4UhJOxkg5DqamUe72oQmVfU6h2B/KGNFF0YRBsT+QZ5BouTqsaQa9yoZw9aQnsKWFLgyKdss4YAgfW5JRbl/6d4KxJgK+Yn41ejL9PP49vk+h6CgITSfpJJn//j35hjat7T16NN1k1Jgf54wguuGh//FX4jhp7pzwDMFkmtuXvpjrT7NGf4u4FNyy+A8EYw0EfKXMGnUxvaM7Wf+X/8YsDjDo/PvwVqn4EV2JRIOD6RcIbc+Jqv7F23jFWuAKIp/VK2OE4qBIWyk2RELcuuyvuTHmrhHnUumO09PwYmdXmBd/8QIAPxr/BLVpwU3vvJYbp+4ddRaXjpmFLdMU+3pR7OkBmsadpzyN5aQwNJNidzmpeB3r1z7LsNHTcLlLSCcbWb/2WY4f/xMgf3xEaJx19jwQmsqm0QlpGZDU463iB8f/mKKSfljxeoRuEmr6nEpfIM8gkfEC1HKeixHbzczVb+X08p4TzqHC48OO1RJZ+ijfOv5OjJJe6EYRm2NhfrzmrwTjYQLecu4ZcSmH+Q7jx+Mfw8FBAn9cM5cPti9sldSejnSobtrE1OUzCcZrCHh7ct9JMxhc3L9gm46UrG8MMX3Jgly/mTPmXAaVVCqDRCsihJgM/AbQgcellPfudnwqcC1gATuBq6WUm7LHfgWcl636cynln7LlpwOzyewWiABXSSmrhRBXZcu3Zs95SEr5eBteXrdFSNn1VrlHjhwpV6xY0d5itCuWlSLcuIEFi6a1yCgwl/KSgRiGma2TJpSMYkmJIQSVbn+ee3gw1sj3FmUMEc0EfMU8MuE/CPhK9vjObkSb3FmU3rYODdEgv3vz2j3Sy/33pMcp3c01uDWJx0O88vJ38vZCnzDydioHnIslHQxN47uL/rZHf7rtuJP54ZJnW5SVMu/k/2Lr46cDYBYHOPqSp3D5DzpFmdLbDsKyZ+Kk45Kvne3OP2BZeOZdhKPV8bb/NfqXf8bRN4xsHyE7Dq2ut91BZ6UjIRKlRk9x3dt/JBhryB0L+Eq5ffjpDC6uQiRqaHBiPJpdYZ55+gJueucfe4xTD489C3c6TGV5JiuR5TjUJqJYTmZsq/L4kYkGUtKiSZhYjsTQBMUyhSElNg6vvnpN3vjo9wc457yn8Xq7XPrFLj/W7n6/q6waxrHHX0dZ2ZEEGz+l1NcHR/dTnwwTSdayMfQepxzxX0g0DCFIJkPcuOK1PfTy8fHfQjZuwBYg4w2k1i/CO/p6rlvyOMH4rgCnAW85c4edx7tL7+TrZzzOL9++dg/Dx52nPEWpZ5e3r5QOiWQjTXbmSdWtu/bqvRBKhLny7SkE4zUtvrMnT42/n0pPOVI6WLFwzoOxUfdw9cK/7NFvnpz4DSo7zwJeh7aaiIzby6fAmcAWYDlwuZRyXYs6k4ClUsqYEOL7wKlSykuFEOcBPwTOAdzAW8DpUspGIcSnwIVSyo+EED8ARkkpr8oaI0ZKKW88hJfZLVGeEV0UIQQuzeS0E3+M4fJipeO4NBORHXQtK836pjpuW7Zr9WPWqLMZVFyRM0jYjswbWAGCsSYcp+sZsBRdB8exCwa/cpy2Dbxq28m8ifbQ425A7zOJ7y7OGCAeO+Xigv3Ju1t8iGCsAcvZlUkh1RTEUYHduhTJiMRdVDheBCKM9A3AI7cTa1QZNRRfHulI5PadpJ/4K9aU/8x74IPMGOMx3FhSsmrJrzjxpGn8ZPwTpGQKC3fBcQrNk2eIqG6s5falr+Z5TQ7wFLE5keb2pS/klR/uMkg2faGCVnYhWgZsrqwaxrEn3sA7n/2RsUOv47VNf2XCoGuY8cEfCMbDTOw1lOuOupzvv72ghVfgZCpNf55uBmMNJKTkb5v+wAfb3+L43hO58MTrCKUa8gwRAMF4GKmbmeDUewm2nkrHkG4HITSkdGhs3MzmpM0dKxfv13sh5aTzDBGZ76wh5aSR0iFeW836l6aSagpiFgeo/ObTBftNyum+Y3jaTo1tTIbm2tIK6MIIlrgrp7l0892DaHIUUC2l3AAghHgWuBDIGSOklG+2qL8EuCL7/hjg31JKC7CEEKuBycBzgASaV1hLgW0HIaPiK6B84roo8Xgtb/zrJt56/Wb+9ep1vPX6zbzxr5uIZ9MbhpLRnCECMoPmbcteI5SM5trQNY2Arziv3YCvGE1TaqPouGiaXjD4ldaG2zSkdACRly6v95D/5PZlr+b6WDgZL9if4lZ6t7JSjBZ9zCwOoKnAbl2KVFTi8u5pjNC2fgQihV0xFK+zhajVrT3QFF+VSJT0E39FhhsxhEbAl7/VJ+ArJWElMTSdktKBWJ4SYjikpERiFRynDCHQNIO0laA2HskZIiAzf7h96auEHbtgeaPQsWJ1BYNWQmaVPTOGKjo6UjokYpl5ZPP/72vDruRvK2YybODXeWj5rYw5/GJmfPDXnAHh/MPH7KEXty19lWuPPiWv7YCvlM2ROk4d+B0ATj48014kWUvAmx9PJOAtx++t4vRJD+HS3IWDaGoGsVgtiehOYtEaaiK1OUNEsxzTlywgnIztcZ0uzSDg7bnbd/bE1FxYsXDOEAGZBQM7vLFgvzG76Xw5bafGbm1aP/+exdeOvf2fFw64Z/G1Y7c2rZ+ftlNjD6LZvsDmFp+3ZMv2xjXAK9n3q4DJQgifEKIKmAQclj12LbBACLEF+DbQcuvHN4QQq4UQzwshDkPRJnTPXtINkI5VcBVCZleHLUlBK67dwulBk/DTEaflBtiAr5ifjjgNTTlGKDowJgaXjJudM0iU+QJcMm42Zhs5gjXvnV2+dBZjx8+g32ETOeykW7Clk9fHnv70/T36089HnkHAV5x7WGiOGeEJf5G5lmzMCMOnArt1Fey0xEpS2BhR8xEAVukReEWYuOiFk27blLSKLohtI8ONiNFDcdsxZo26KG+MuWvEuZS5/cSsFH2H/zffXf4zLnzzWn6wbAaQ5t5RZ+eNU78afTaVbj9pK8G2yEZSjlV4/uA4BcstR1K74ilOHjsj9wDr9wcYN34mixb+iFde/g714WplkOjgSOnQWFfNv1+8ivfe+BHjx8/E7w9gukupjwXxmKWEYkF8ZnmeJ0OJy19QLw4vqsjTyztHnMfjnyym3NuPgeXD8Gfb+8dnjzHz+ItzBomAt5wZIy7hjpW/4tZ186hJNzF19IM5g0SlL8D1x8/g3RWzCUe+oDFeg5Q2wlV0QN4LjnSIWDF+dtzUnEEiEzPiLsrdpTh2KmeIaKZpyQPMHj05r9/MGXMu5W7fwf7snZLGZGjuQ8umV7XMpvLQsulVjcnQ3EPx/UKIK4CRZGI+IKX8B7AAeAf4I/Au0OwuOwU4V0rZD/gdcF+2/EVggJRyOPBP4KlDIXt3RG3T6KIIzcDvD+yxP1NkV4d1LTNY7r6/raUR1xGS59avYsqwkykx3TSmkjy3fhVTj5twyK5DofiySGkR+uwffGfCg0ihI6TN1o/nU3bspW3yfYlEOJdBI5Go47gJM7l++c94dMxv8vrYh+EdPLd+FY+c/B9si4dpTEe5b+2fGVExgEdP/i/s7N7rsnACrbg3Q696SWXT6IIkoxlrrsu75zHRlImT5f34ffziMKTHJLapgaLBXW5PvaIt0XVEeQnWGcN44c3r6dtzNPNOvpmEbSEE1MTrmf3hfEKJRm4ffn7OHT0Yr+H7S3/Ck2Nn8cDYMxHCxNR1Ks0iXIZBXXQnDy6bzk1jnig4f9CFKFhuaILY9g9xrXyWyZOfwJY2DQ0bWfn+g9TWZlKGvvnGlK4aP6LLkIyHWfqvqcQjQeKRIB8vf5Cxo3+M1987k3oz1UClL0AslQky2WyQaExHC+qFS9O4ffjZeA2ThlSc3657i1AyyuZoLWcNuY5otr0N4TW8vG4WPz32OnoXD2JzbDsPfvQIHzZ8AsDUFT/n18Nu4dYxD5JINZJI1PHByoepCa2htv5TJo78MabLh0xHCsqxu/dCONnAjUt/SqW7nGnHXk+Jq5i4laCHWYkmNDTdxCwO5Bkk7GiIwabJkxO/obJpALa0AoW2ztjSPpjAXVvZ5c0A0I9dwSVzCCHOAO4AJkopk83lUsr/Af4nW+f/AZ8KIXoAx0kpl2ar/Ql4NVs/1KLZx4FZByG7Yh8oY0QXxRBuTjvjQZoi23IxI4qL+mCI5oBpKX550iTqUxKvbhK3U5SZAkGqRRuSm4eOx5Y6QggqTMnNQyswVGpPRQfG7a1i4DGXEREmFgIDycBjLsPdRpPclntna2vXEE3UE4zX8MrmV/jVqMncvuxVKk0f13xtFAOLK7AlmMIL2XvkMxsWclH/0cx/8Vy+c/58TGEiinoUzLSg6PykIlljhKdAzIh4DUndxZpe71EVzqzWRaq3K2OE4stR5Md1zcUkjSRN0SAfb/w7Rw69nm++mT+XHlrWn4FFQ/j9uMeoTe7k39vf4tx+Z2NLH7rmYAhJuelGYrE9FsJCctPYh/m8din3jjqbHy1rmXHjbJbVLNmj/FejJ1OiCXYWB+gz+nt4/T2JRnfw5us358mi4kd0fBw7RTyy6wGzfueHLPvHLZxywTN8Y9TdLP7k/7j2+Bm8tuFZZh5/TW6rxktfLOHeUefl6cWs0ZPRhUWF28fty/+Wy6jx0xHn8NuPXuQXJ/4XiVSYKaMf5P6lN7EhvIY/f3gPt4ybxy3L78iTKxivAd1EpBOk43X43KVMOPE2HLM3UrhwaRq6SFFaVs6D4wZSl0yQsh3chkGl24dLpkhEomhCw5BeUiQJxmsIxmuYvuIXue956bTfA6B7yhh03lzWvzwtFzNi0HlzMdzFVOq7toNKRyKbImDboOtQ5O8293VdGMFKX2DA7kFFdaEH93Ha/lgODBFCHEHGCHEZ8K2WFYQQI4BHgclSypoW5TpQJqUMCSGGA8OBf2QPlwohjpRSNgfH/Ch7TkBK2SzvBc3litZHGSO6KELTSDtJ3njvnhbZNObgzVqAdaGTdnRmr3yfYCxGwOfjZyedkEv9mamjEbUkP37nQ4KxBAGfh3vGHYvf1T0GU0XnxJE2WyzBbcteygvOOlDa6Lj238CXRNfNPC8kl9AIeHuyqHYpZ/U9hccmXEQ4afH4R2u5ZJCfX674NNeffnLSpTy7cQFCWpnUu5qO6K0MEV2ZZNYYYRbYpiGTdfwr0BPhqSHiWoMegui2yKEWUdHJEZqA3j3QYjW5FN9CWnmr1UPL+nPT0Zdzw1trWtzf/xtHpvn+v9/KzQtmjR2HS4tw0/K7cikOZ5/4E2rCS3hg7Fnomoe0TPN09R/YENnEj8qO4rbjxuAx3CSsJG7NAcfi6Eueynl56ZqroOemrrX++KxoPTTdxFsUyDNIeIsCJKI72Fr9IueOuZWUFeOKYdOx7BSPjfseaccmlm7A53K49fjj8eo+4nYMU0vgSA8Jp5Hbh5+Ox3DTmI7y249eJJRs5PNIDR7dRNd9TBlxL44At7uEcFYHd89yUeQuw0o18NKquQzoOZqjB9/Mjxd9lDd3feLjxYQSMW4YejK/fH/lrrnvyGFUiQiJJU/QZ9hVGNJT8DtMzZXJUrMjhP7qWo4c80tksQfNV4Rc/AmcVI7M3r9bBpGV4UZEeQmuay6GbnJ/L3FXTrtx1Jz5zVs1Kn0Bbhw1p7bEXTntq7YppbSEEDcCr5FJ7fmklHKtEOJuYIWUcj6ZbRlFwJ+zAfu/kFJeALiARdmyRuCKbDBLhBDXAX8RQjhAGLg6+5U3CyEuIJN8pQ646qvKrtg37Z7a8wByxh5OZp9OWbbOj6SUC/bVZkdKf9ReNEWC/Pu9WRw18Ou43aUkkw18suFFTjnxNoqLAuyMRfj/7J13nBT1+cff35nZvtePstKktwPugKMc7QAFS1DUqDHGFuwlCAgIIogiKKBGEUSxxsQSo1ESC5AovXc4ei/uUa5v3535/v7YY7mF8xdjUNq+Xy9eL2Z2dnZu95nvfOczz/N87lkQnXCcwGW3M6tXPjXsTgAKvT4emL8Bty9QZRsrr+W3o7bj4qyDq+SCt+06nzniLeXexbNPS8V8o/s11HKkntHPktJA95Xh170YRhhVs2AoGkV6NOth2tZ3ebjFQ1SEINlsZuiiTaedT9N6ZbF3x1u0aNCftJQmcfa6Z5hE3J4DHFgdZuucENk3WE7rG/H6lxP5omYONSNHuNM7k2T359S0H6Lt0M5n6WjPCRLWnj8BQxqU+Y4SMgJUVBzC7y1Cq9GeEavexe0v4eVODzF1zdHTxqPh7RsyZOlCALLS0hnUMotLHHb2evfw7q732Fy2HZetJm90eQ63Zw+X2FwUhb08vn4qw1o9yIub55xmwfhmtwdxGCGsljQ0k5WQv4TS0t0sXjIOr9eNw+Gie7fxpKY2xmy7IPrjXDBjrZQGurcEqYcQmhVv4FisVMPmdJHTYyy7Cz6iVceHUTQrOjqff3s/fTqPwytDpNhdYHJyz7KRp93cv5M3lYqwl+JQgPHr/orbHy3veDL7ZmZs+7qyjOgGmjproEU8zN34Cp2b/ZaQJYXH1kyMiWNT248iQzFT5DuMptlw2prywIKC02L7xR5ZALi9Xt7aupnNJcWVr9kZm1OHBs6aiPJC7En1ORAuZei6Z2Of8WLuOJokNQCvn9D3+5AWFeENwbwNiHIv2sA+RD7/FtOQ2/BpASLhAEqJF1MEDM1AeEKoy3dh/nU/RLLzF/0N/wvOaNyedNPQXapQz4SbRoILlLOaGVGZNjOdKp6xQojZVT1jgTHAX6WUrwkhWhFtQHLpL36w5xtC0LrFLXy+ajylPjepdhcDc8dBZf1a2CBOiIDocqRKHx9dEjeYR7cJxDW5TJDgXCMiq7ekjZxh4VVKg9CxXYQqigilprJx/Rs0an0Lpf4SLOmNAYVbLv09wxZtx+0L8Hrv9tWeTwKFnOa/jU7Ufz4hIsE5QtArQYBmiV+/z1vK7BrZ2A0PR7VafGG/mjvFQXyBi1r4TfATMKTB4fJdvLxiCFWeSrLj+GJez3sQt7+UdHMN3L4Dce9z+wJYK8egrLR07m+dc0om12O8un0qm8u24w4cY9zmN5jaYQyXWDJ4rvW9pDobVmvBGDYizP3mbnr1nkpKckOMSIADy6aR12EYmjWFSKCMA8umkXx53LOoBGeZE9e4o58OJVLuRkt2UfPmV+k54F30SDDay8iAdp1H4AuXsGDOI3Tr9Rw2aya6xcmc7bPo0fg2FD1YrU1m0Ajx3a53ubL5Pbye9xBufwnlYR8ztn3N5pL9ANhUC2FDBz1I52a3MHvVUzismTyXdR8pjnpoQmHjzr9ibXgFb26aRJHPzdN951d7rS0PGdz33dpoLHfMYWbBOjaXFOP2+TCpTsp9hSxcNZaruk8lbeMc3uk4gYiqYdYspFlSEIDHf4jNq0YSqHBjTXKRNfBZTJ9vRNhtyGQHR8OH+Gj+0Ni8+4bc8exZMY2gv4hOlz2LScqfR6k6BzGp5mUZdlfe2T6OBOc+Z7tM4z96xpLwf/1JGEgQVn7T589EDImmCAKeg9H1gCoMXHb7aZkRijipRkSbUVlPU5fVi7QhT4LzA+2Hmqid4bjVvSUc/XQoabfNovTIRlp1HYNJMWNOluiGRBMmRi0+mVlUEgz9wPkEIXScCSHioiDokZisnJaqu/D7XYDkV76P+Nh5O9tMWRy0e6nrTbiJJfjvqAiWxIQIiHWy55asYRws28qEgu8Y2vrmasejQKXV8G3NW8WECIjezE1cdYAXeozh1W0zqGHOZFaXV9ClQVBRqGlrgC6IKwWB6LKmqHi9bhZ89xj9rngTs2om7C9i65zhse2sCQvjcw7dWxwTIgAUZwah0kNomQ3R0NDKI1BcTqBeMnt3f0Ovy6ehajb6dn+OSUvu5o6cpykzFOpYM3ijy4sYUseqWUg2OTELEzqS/s3u4+vtb5BVuw8TCr47WUaU1oDBrQZQy5qGAWCtxYqCNyj1uSn1ufnbwodJtbv4bY9pNLykK6+ufIwin5tGqW1QhVJtbJcEoz1J3L4AE1fvYHB2K0YuX4zLbifDXgtVZDDwsneIRLxouTdh1QVEIghDQMRPSPjZPHcYgcrGlSZbBh6lAusdPQkbAnldZz5aMoTSyvOu1Ofm01XjuCN/BoHiPWzb/h7ZXR7HSrwFaIIEFztnu0X7j/GMfQr4XaX/61fAI9XtSAhxrxBitRBi9bFjx36OYz2v0FQnAXMm9y7+gOv+NZN7F39AwJyJpkbTw6xKhOe6dMFljz51c9ntPNelC1blpI2cAEZ3bIHLbq3cxsroji0uGlX3lyARt2cepwrPdz7dms6pntnIlXqISLkbVbURzmjFd98XcNTv5/5Fn3P9vD9zxO+Lmwy9v+3AaefTpLxWHC5dExMJzxcScfvTCXlktc0rl5UX0Si0n03WRmiUI6SFLQ5JWKQS9p9f8XEucjHFbNgIUV0ne4c5JWaT+M+Dixmd2/CU8ag1qRYNl91OstlS7dPlinCYEa0fxqer3L/4c66f9xfuX/Q5xdJEsupkcu6dcRaMk3PvxKZEn3udsBfXLClk9ZuCNSnaWN+a5CKr3xQ0S8rP/dWcd5ytuJWGgQz5YkKE+ZIsnPkPsXnZcyz/4BrW/mMQvsgRIvu3gsnEJU36M3fjNAq9BykOHCHFkomm1WbyhiXc9O+3GL/23wjsvLDpSx5eNovD/hLGrP0LDyybRbdGd1JYvo1n29+My5ZGVloDhmddj24I7l/yAdfNe417Fn9AVosHqZPeJnaMpT43htRJsteOCRFXtxrDS5sWMjq3yWlz1/e3ncwEcvsCJJstuOx2nuzYntFr3uHuJdM54C8lgmT5zo857j/MnrlPsP3TQQRK92KEgzEhIqlmFrW6PsTHGybx8tzreGvpfYTTrDEhouox+v3H2bTiBRq3/g3ybN91JUhwDnK2MyN+DLcA70opXxBCdAXeF0JkyVMMqaWUbwBvQLSu7iwc5zlFhRFhzsGt/LHLrahCQZcG/9i/hpsbt8cBRIwgJZ4CXuuZjy4lqhDsK15ODXPr2D4kkuXu47zYoy0KAgPJP/d8T72mp+pFCX4qibg98wR0P3O2TWF0mxuxm9PwhUqYs+15fvYI3LEAACAASURBVNdmOA7O3GRXCEFS7m2US531x/fSy9WeiKEzs/uNsXOqpyuDhe6oO1RBcTmf7DzIq73aURbyk26xcbh0NR8WPM+TPf90xo7rlyARtz+doEee1iuiNBxkv2FweXgXC631qRcuZp+WyWFzVBz2Fhuk1lGr212CH8mFFLNSGkT8ZfiNAAYGmmrBbk1HEQp6JIKKSobdxamd7A3DoF/Te0jSrAzLuoZgxM+M/LYc9XspDnn4ZM8irqiXxSs9emASptOeLvd0ZVDLmoIuJVZFo2NGXf7h20qG2U5RIIBTs5FiSuOlTvdQFvZSHvbx5va5DG8zEDhpLx70HcO0Yz3Z7YchHckIbznim1kw4HFk8sXR4O/Hctbi1luCPH4ALdmF6swg7apxrP/mD7Gb8UCFm82Lx9LumjcIyzB/XTqcy3KG8eb68dySNYyrmj/CyFWf4/aVAeD2lfH0uq8Y0qYvw1e9zfh1HzI2+xYMKbCpSXSqdxMCyRt5D2FWTVSEwgip88cuvyWoByn0l/Pe7vX8vs0QnCYTJksddAmqqqEbML7vd2hC4aVNi1hQuJeigI/B2Z1Is9jJtNp5ef0uCorLY3+ey27FZbcxPKcF07Z+wubSaFnI6HUfMymrPzmNruWDRY9w1xWvE8BCCQKzYuKSdrdjcuVhTmtCqe8ADmtmLFuj2HOAVLsrTpBItbuwWtOw2DJYt+hpul/9Zuy1WD8OqRMUBgYGqmrBbk3YeSe4uDjbYsSP8YwdBFwBIKVcJoSwApnAURL8ICoa/eq2Z9jiNbh9flx2GxO7tket/Mk1xUaas31c1+znuuShVfFbNqtweYNaDF20Ma4jsTkxJ05wDmNInfWF81lfOD9u/W+zhp6xz5CGBNWKqW1/FMVMdkYWn+zaxeX1GjF62fq48wVgobsIl93Kjc1q89LmrxjUPI9IpJwPC57nkU4v4DAl/4dPTHChEPRIkmrFTzS3e0sB0JRy/IqVvqWLeS+jIUWVYoSnMEhqnUTviATRG5hAyQGKQ8f5ZPW4WG36b7q/RKazIZGwl3DYw70543lj3bhYz4ghnV+lKBJmwoaPY40Cx2dfTyoGQanz0uavcfvKWFW0jzE5V5JhtjM6tyETV+3F7QvQ05XBXa0u5YH5J8e3iV07cIk9ibaZdXl2zZq4ucS645uZuSPaa3xY1kAcDhe98qewY+0bHHevonOfyVgWfoJcPRtJtB5X9rgffFw0jgPnMjISQv/XLGpe+xxGJIAeLI8JEScIVLgx9DCGEs0AsJpTKPK5+Wrne9zRfgpu39y47d2+MpJNDgAyLMkkacmMXPlNzPVqTE4+S4/spH/dHB5fvjQWT0906MBX+3dxc+NOZDpTKAoGeHzxbDLMdh7K6smEVZti89zRHTtQFPCxufQII1b+A4D3e9/Ijc1qs7PMW6X/SX0kfgavnBF/jP4SVM2OIlQc1kwKdTMjVizA7fPQy1WfQS3uYtjSAty+9bjsVp7qOIGVm8ZwuHgTCwpmcXO3F/h4ybDYeXldx3FsWD2Nlh0fYvvq6WDo0e+3sh9HyeKZiC6/4ZtV42POd1f3fImM1CYJQSLBRcPZjvSYZ6wQwkzUM3b2KdscAPoCCCFaAlbgws6xPAPoUmH0srW4fX4A3D4/o5etRa/MEfMbWmywj77u4/HlS/EbJ/WpkC4YtbQgrmZ01NICQnpikpDg3EUR0aeCVcmwu+Jsa/9nPF7Chp8V/x5OSBc8vnwpAxo2ZvSy08+XoTlNmdWnNS/0aEGyWWdIm768ueMbNFMSD2SPJ0lz4g8UnbljS3DOIqUk5Iv2jKjKNk8ZqjQIKBKkmXaeQ1wS+R6PFkRHx3uwovodJrjoiPhKKPccigkREL0R/GjxEHyB4wQMPx8seoQFG6ZxZ+thPNFtFne3GYVmSuGJtR/HavLd/hLGrf8MRWh8vGc+Q9r0Ymb3WxjSphcf75nPAd8xpm/7mBn52bzeO5sH2jY6bXwbvWwLV9ZvHRMiouujc4kr60YdYFy2NBQBfS97lf1bPuHgztn4PW5WfDsCmX9b7O8SqS6oCBB+6zPweH/JrzRBNQjNDBVFiICX4189heEtiZXVnMCa5AKpgzRItbsIhMrIsLvYU7KJEv/3uOzxmYguewrl4ehve0+zK2NCBESbTE9YN58BDdqfNjd9ds0arm7Qignr5qNLweMr5+D2VXB7844xISK6rZ+Jqzdze/OOVT4ziWSThSRzkBd6NGdW32b8ob2ND/e9TdAIxUqKYtvb0tAjPgyp07X1YEasWIjbF7VXvrp+s9PmxE+tPkRui4cB8ASOk2yrxe97v8W9vd/m2rbDKFgznUOHFrB06Xia5dyDIqK9oU70nDK3/VVMiACo8Lr5cuEQfIH4RrAJElzInNXMiB/pGTsMmCWEGEJUPL9Tnm0/0vOAqKOAP26d2+dHr/zqoq9X46ZR5auNbnN6zeiZdiVIkOBMIhAM7vwKUkkiOqzoCKMCcSa7neg6hqrTtN09RKQkw2LFpKg/eL7cteQ5XLY0ns+9k7d2zGHBkc3c17Q7H8y/l4ev+DuRhL53URAOgDRAO6VMY7unlHqhEjaoN2AKtmJy7brUDS/hoFaXYnM5NQv1s3TECc41DD2EMNmqrU3XpY6UMpY2vuvwItq3uAOzTSMsjWqdLiyqlbubX8aIVe/FMibG5dzCq1u/pChYji517pu/hBm98qod3ySQYbHGzSfcPh8SeLnT/dS2JQE6AbOdtJrZHNwZfd7k97gxVBUBKK16oVz1KGF/EHFDHvIichw4Z3GkYf79qxiaRsplw1CcmbS7ajq7VrxM0b4FWJNctOg1loPr36dOu99xU94UFhTM4u7scby5fjyrD81mcu4gRlSWarjsKYzNuYpXt87GZUujriPzNNerjpl1MCtatXPTZJMVt68CXRqx9yWbbNXOc9PMJ3qhJfF8p35EIscAyR9WPRmz6ny+/RNYFSvTuz7IQc8xZu2YQ1GwnIk5N1PDpLFuzxe0bnIHbt/G2L6TzdZqz4GM5I78usfb1HKkYbOk4PMe4d9f/R6AjMw25PaZjmZJR3XUQhcRyioOoQoVy6W5YE+JCREnqPC6MYzQT//tLmCEEFcALxOd3L0ppXzulNfvBx4CdMAD3Cul3CKEuBx4DjADIWC4lPLbyvfcAowmeo/5PfA7KeXxKvscBkwFalRdn+DMcbbLNJBSfkW0MWXVdWOr/H8L0O2XPq7zHU0RuOzxA7XLbkOtTH2MOg6c7qZR1XFA+wE3jTPtSpAgwZlEVcx4DMHjy0+mfz7XqT/Jyplzq5AmDVVLIli7FQ5F4cGsbA5UeH7wfPmszygiUufPu+Yz++BKXLY0hBEh1e5CYqAplv/n0xJcKIR9USHXZIkfQ/f5K7gkIjloboVKEW61GYq6DylUjpkrcJUnyngSRFFUMzLsr7Y2XRUqhoj+/9KanWje7BYeXPUUbv9RXs59tlqni23l3/PPAyt5Le+BqDAgFFSh8kzOb9nvPYQuQ7jsNspD1bsB7a/w8GBWNjM2r2dzSXHlejthQ2fyhuU81SGfpzdOpihUwtQOT9C221g2LnkamzPqnmF65FNCip+dsx8kVOHGnOSi8dUvYJNNE2nqZxkJBMJlFKx8IWZl2fry52nadRi+sr3sWTkdACElqZZMrmo/Agk80f0dykJFLD/4Ca92vQW/Ecap2TkaOMojrfuDNLCoWpzr1YD6Lfh1o3bs95RXOzctDwdw2ZNQqrhllYf91c5za9rsfHrZzRzz7ueTDSMpCx1neNfXmNVlIjoCs2KmJBjmviUfxISS53NvIs1ixY4kHC6jU5NfExYKLrszlhlRHgpUew7srvDy8oYiJuc1JAOBqppxOFxYbZnU6ziGkeuXxeYiE3K6s3XdePyB41zVfQpqKEKSwxUnSCQ5XChKwlnmVIQQKjAduJyo4cEqIcTsyvvEE3wgpZxZuf01wItES/2PAwOklN8LIbKIPgSvI4TQiIobraSUx4UQk4GHiZonIISoB/QjmqWf4GciMdJfoKjC4NkuObzYLZcZvbryYrdcnu2Sg1pp3WlV4bkueae4aeRhrZLJriowvXtbFvXNZUl+Rxb1zWV697aoiahJcA7jlxrvbFvD08178Pfc63m6eQ/e2bYGvzxz2mtE+CkzAryx4yMMKVjuPkIbs52/dm7D3N65XNOgdqxnhEWVlId8DF4+KyZEjMu5CactjZvypqAKEw5b5hk7tgTnLqFKVwytivZUFg5SGglRotRF4qe29g5pbOUYuSDhmMVLOJyEEUlkpCUAzZ5GsrMuN3YcT2plOdqJnhGa0LAqVm7Km0qHlncxfM1E3P5oe61ZO/7EuJyb4pwunsy+mUWFBfyqfmeKAl4UoWESoMsAD6wYzuBVTzDv8Fze6pVHD5uTTztlsahvLve3urTSoaAZb23ZwYTVGxjUMiu6X7ud57t0wxsOkWG289Sa+dzZ5He4/Ud5bM2z2Ot3weZ00f3qN4kI8Cap6M5UGg98DYBQhZvdXw4j4kukqZ9VvCVE/CWEAiW07D2erP5TMdsyKJg3EqEomO2ZhPxF1M+5k3CogtLSHYQDpShCw6cbBKWVno1u449b38CuqYQjflopdWgrL6GVWgdD9/FUh/yY69VtzTow7+Be6tkzebXbFfyxa1+y0tJjPSO+3L+FyZ2vwKmqfJA7kNmdbqCOrjGpSw4uuw2IChGTurbHpOgc9e7hy+2vsKd0E0U+N1OWPUBR6Tb+9t3dhCIhhq/8lAyLg8mdbuCp9gMoDnqJSEm5NAgpVnz+IhyKzuROPXDZoy50Xx7YwaS81qe4dDTj/W27cPv8jFi6mqM+Pyoavfu8RNPsPzCmUoiAaCnKmHWLad36fiq8br5aPBwlqQZX9XiBJEf0XD7RM8JuTTv1FznvCOnhrm7/0aWHvO69bv/RpSE93PV/3GUnYJeUco+UMgR8BFxbdQMpZXmVRQdRTQ0p5Top5feV6wsAmxDCQtQ4UAAOIYQAkolmR5zgJWDEif0k+Hk465kRCX4eDEMS0HWmrNsca+zzZG5bjMqeEJ6In8VHNjC9Ry8k0TPx60MruLJeO1KJDrxmQ5BeHiD81gIixV5EuoNag3rhSXecvT8sQYL/gCIFI2tn43h3ObLYS0a6g5F3dEGXZy6jR6o2MHzccuntRHSDe9JdGNPmEin2Yk53MPzufCqyGvL3fZvpWMuFLiVjs29BEYJMq5Ox657j2fYjSLPVxmZJRlESQ/HFwInMCK1KZsQ+vwekyjG1AYa6D1UEKVd0dCMNZAmF5nIEKp5jBsmuRPfgix0hFKxp9anpT+H3+W9WduA3owcr+ObrO/F63Vx19Yf4FS0mRABsLtvOtK0zmd71cRShsrPczTeH1nJF3U5MWPf1ySfEna7DoYHbf5SslObcWO9XOIt9hN9agKycB9w2qBf53TJ4Zs1GCkqizVcbJCXxt35XcsDrYfL6NRQFAjzRoRuvFSwh0xIVW93+o0SkTo9fvU1FoIivFz8Wa9p3ZfeptLztc7a+P5BQhRtDT6Spn00MQydstbBj3pOxrIgWvcayZ+V0AhXfc2DjX2h31XSEaqYiXMK8xWOwWTNp12kSw1f9PRZPT7W/FTsOkipCGG/Oi80la9zdk1XhjYzvmEemJROLYqZ/nWxGzQtzxBuhlsPGU/n5pNrChGWIP7TpzJzD87jDcRn6mwtJKfaSmu5AGdST13t1ISwlQkg+2fsd7++ZX9mgdQRfbpnMnpKoIGE1p1DqcyNRybA4eLBVPs+s+7JKdsT1PL/pr9FyjexfYw2VUb5rNq/n/ZZAyEfYd4SaopiZPVsSRmNXuYeZm7fGzgG3z88Rf4BSI0ADixNHSk3cvuVx36vbV4HJHBUaKrxufJ7v2bvpL1zXeyZG0IP0FmGX539WREgPd93t2T97+OoJmZWlMZdO6ThmdmNng2vMqmnZT9xtHeBgleVDQOdTNxJCPAQMJVqS0aea/dwArJVSBiu3fwDYBHiBnUTLPBBCXAscllJuEImM8J+VxDPuCxSJyjOrNsY19nlm1UYk0cmspih8cXAZ1347joHfjuPab8fxxcFlqFXSIp3BSGwCAiCLvYTfWoAzGPnl/6AECX4kKWGB473lcXHreG85KeEzczEx9AihSDmqsKOSTA1dwXhrftzn6W/OxxE0mH1wC0kmKx/sWo0nEuCpdR+wp2I/RaESNKHgsKUnhIjzHE+FQdHRaK3+fyJ0QoywnozF/f4KhOFAM1KwBVtzQL+RgFaBxEA17By3RB/0lB8xqt1ngosPIRRM9jSSnS5SHC4UPcK3/3oEb2Wqt8WegSpUXLaace/LsKSjCjO6ITALC1fW7RgTIiDqdjBy5d8xCRsuW03ubHILziDVzgPqGErsJsxlt6EKwSOLFzB0ySI2Fxfj9vlY5j7KhNxrSDO5+LzX3/iyz4dIaadMWFA1e1zTvq8XP4Zuio6FKY16oSsCj8eN31/EKU7uCX4BIorB5nkjCFS4SaqZRcO8oWBx0PzyiZgctajVfAC7VrxMRBh8vXg4FV43rVvfx6ztSxmSdTmvd7+NIVmX88GutSSFFYw3F55yjVxI/9Su1LCm8+KWaeiGiafnhznijY6RR7ySp+aH0A2N+5a+wn7vAX6d2Qf9lP0Yby3EHjRQhcYLmz/h/T3zgahbh183cVeHl5l0+bc8328uVruLW3q/hYrk7ubdY0IEVMb+qs+4o2lf3P4SRq//G0f9x6lZuy1L596FybuHvcuewVe6lw1f/Q5N9/HyhoLYOQDR86AkGOLtnYcplQ6ktPHHLteTlVqryjZJJNnSubLHVBrW6YUz+VIa5j1BhWIlZK+JKCsiWHYIX4WbgO/8jf2iUMkLJ4QIiAqRw1dPyCwKlbzwc3+2lHK6lLIxMBIYU/U1IURr4HngvsplE/AAkANcAmwERgkh7ET7SIwlwc9OYhZ8gaL/hwaWVgGTc29nxKo/xZpWTc69nSpzZIQuY4P+CWSxF2EkspUSnLuouiRcTdxq+v8et4YeoaxkFzZnA9x+wbPLy/lL1/RqzxNVNxiT04fXCpZzc+NOJJtNPJn9az7a+zemdBhNUkILPu/ZtTXC4nlBDAMubaqSf6UF5f+xJIyJEVXKNA4HfFgiDdAMBwYBrMHumOS/CIoSIJkS02FCIkR5YeJynSAeKQ38x3ehmy0xIaJh42s5GCph1o4PGdvuUZ7e8Efc/qP0qtmVe5rew4OL/1Gll84VZJgdsRsyiN6U6VIytt2jmBX7D84D1MrxNJoa3wFVxDfFHlD/UvrVbc4j37op9Eao7dB4tlstPtm7lNVFh3i+8xXcdMWn/PWbG4DKpn1SJ6VRL9K73MM33wzC63XjcLjo3eclUtMSVoe/JAYyJkTU6/IQS5aOj/0eeXnj2LfrHzRp8xsMacREJbvdxc2N6jJh3fxYjE3MvRwZMaqNoWJvOQ+s+pwxOb8hYhATIk5wxCuJGNFGqzbNhlWaqt1PmVfnD4uLebzzQIqC0ZKIh1oMZMK6BbHjeLJ9D6Zte4WiUAnTcp+mnjM9Lu4h3nrU7S/BZE7FrKh4vW7M1nRyeoxl6+rp+D1urKEinu+Szcjl66vYirZjzv7D3NSkBQ8vLI7F/RNdLufVgnkUhXxMyOnOoqXD8QeOc23vmRwKeXmsSvPYqbl3Etz+GXu/HYzN6aLzZS+SnH7+xb5u6K6qmVkQFSR0Q3f9wFt+DIeBelWW61au+yE+Al47sSCEqAv8HbhdSrm7cnU2wIllIcRfgceBL4CGwImsiLrAWiFEJyll4f/wNySohsTs5gJFFVTfwLJynmwYIUIBN7PyhhKRoAk4UrEJw9Qgtr1UBSLdETf4i3QHMuH/neAcRleUauNWV5T/acCLBAIEIiVYHS58ETOEdB7LrkFYkZiq+TxDVXht83I2lxxhR3kRM7sPRAo/w7Pu5VDBB8iWv/kfjibB2aa8zGDJv4KkpAvS0hX27NApqB2hTYcfbpQa9oOigqqdHEMP+oKoejpCHMVj/xdO3/XUDNXmoPUI6C0JY8dtLSazMNHkNEE8EV8Ju/85lIbXv0a3y15BNdkwO+pwz/LHyTCnIQ0z0zpNQRUCs2LivkVfxNWvP77yG0a068mjyz/imvptubVJV9TKBpYl/jKy0usigz8wD1AFM3p1xaIq2DUTQUPw8eVX8eftW/jHgX3c2qwNjy04QqE3mklZ6I3wxJIjTO3Vhb0VX+HxSWo463HrNUv53j2H1VveQAiFWvnD2b7lIzp2GobFnEIwVMb6da/RJW8MNlvGWfmeL0ZU1Yw1yUWjvCHMX/wEXq+bzMw2tG5zB4pqplXnIZT7jiIVwRX5r7B20yw0zcaEVXPjYqw0FGFPyEfDamLIRwS3r4wJ6+byet491HKIOEGilkOgKfBej0exa2bCYb3aa21RWFLojfDcigqm9bkfgwj7PSVkmO24fRW4fRU8s3YR07o9wW7PDr44OJdbG93MH7v8DptqpizsY7F7KwMatKOmLZlP8p+kOFROstWOv+gQDocLszmZ3Zvep1G7OzDb0sFsoUaokFe75XA8DCXBEDM3b+O2Zs2ZtKI4Lu6fXV7K9D4DiBilhCMestsNxoZOULXz2IoZcXa7j616lzfz7iejdht2bXiPFf8aSs8B72G1n1+xryqq22WreWlVQcJlq4mqqO7/523/iVVAUyFEQ6IixG+A31bdQAjRVEq5s3LxaqJlFwghUoEvgcellEuqvOUw0EoIUUNKeYxoc8ytUspNQM0q+90HdEy4afw8JMSICxS7qjCpawdGLVsTU20nde2AvbL7pEV1YrG05IH5G3H7ApXN9lphqdKd0m81YxvUK65W1DSoF36rpbKrRIIE5x7lJg319p7Y/7QwFre+23uimzRq/MR9RgIByrx7kVIjKDP4cG6QUo8k1Smo289M7UH56JWlGiLdgXp3Pl+X7mNzyRGgclIWruB3ix/mi95v0qjRFdgSTSvPazasDCOB7E5mrDZBRblk/YoQzbM0zJbqBduQT6JZ49cdLHcgUBDaFqQAXdtGcTibDOPPlNAKsHPIVsylhbUwIhJFS4jBCaIYegjNkcHxUBEzCiZR5HMz/rLZZJjTeLjFw0xYuyT2ZHhat2tOs1J0+yqo50znd4070a9uW4Ys+zK2/fOdr2BX2U6cqW1xVjMP+LqkiPVFJdzQpBGDF56cR0zs2hoAVSixG7ITFHojWFWV4c2v5MvvBJ97gqQ6Bbf0u5LrLuvKnMXD8QWOc2X3KRSsn8WhQwtwOFx07TYOw0jY2/6SKJqDdr+aSUQYMSEiu/1DLFsyHqstk2a5jzBz4ziKfG4y7C7uaz+eiB4+LcZsqpkXdu7ghTu7Y3l3cSyG9Nvz0cwWslIvYXPp9wSMEsbmp8dKNWo5BOPyzXy872ve3/MdLlsaUzreTr27uqK+syzu2j59Z9TtotAb4bg/zL3zV0WbS+b24rWCBWwuPYLbV8GxQCn/OPBvHmpxN4e9QaauOVxl/tsDQwZ4YNFc3D4PLruTyV3y0cJheuVP4cCO2dRqeiX/Wjk+1uekf5enceollOlmXt6wA7fPT7rFSqG3PO47KPRGCEvJgyveiGVATMq5mVSpV2u3GzZ0Vq56gby8cWxfPf28tPnMMKcNm9JxTNWeEUzpOOZ4hjlt2E/dp5QyIoR4mKgThgq8LaUsEEI8DayWUs4GHhZCXAaEgRLgjsq3Pww0AcYKIU6UXvSrdNcYDywUQoSB/cCdP/UYE/w0zq+8nwQ/Gq8R5q1tSxmc3ZgZvXIZnN2Yt7YtxWuEAajQFUYt3RKzKHL7AoxauoUK/WRIhAyVeYcc8GA/TGMGwoP9mHfIQchIhE2CcxdDGEw5FGbH7b0pHj6AHbf3ZsqhMIb46bWXgUgJC757DNVanw/nRij1RJ/elHokH88Ns89iJ/Rwf7Sx1yEGX8Hf/QdJtpy863TZkyj0F+Ky1UQTKqmpTVDVM2c1muCXJRiQ7NkWoU59FastKg40baURDsGOgh/uqRP2STTzSTFBlxJ/MANDhPBrxwGVNLESgKRI1OlISBsHbMVIXVBWeH7WDyf4eVBUM6ld7uHVdU9QVGnzacgI9zS7KyZEQFR0OOgpizkXnMBlT0Kgc1OjTjy+8pu47Ueu+IYmKS35w5oxeDKsmP7QD8vYgZj+0I/vDB8T1m3i1hZNGL2sIG4eMXpZAb9v1QZNEdR2xD/vqu3QMEmVL78TcWPoh3Mj6DKFI0WbKvtHDKdR0wEAeL1uli0Zj5QJMeKXxAiUgKriLTuAw+GidZs7WLYkWqrRrO0dzFw/LhZzRT43r68bh92cdFqM+fUQRcEQ+61mim7vh3/YQI7c2o/311v5dJ7gniZ9cdlTMKsm0mxepvbXeGegman9Nb52R4UIiN6kD1/9J8ozVJRHL0MbN5B9d/Vh1E4/m4ujN+u1HRrFwej/3b4AE1ft4vZmnYBorJeHyxhQrz+FPh/jV+w8Zf5bQElIj9l4un0eRiyfj7N2Z77fPZdLW90YEyIgWlY0Z/lYVLOdhkaIN3rm8ln/ntS0maqN+wPewrgMiFHrPkbKSMzd5gQuWxqKDOP1ulm6dDzNcu45L20+zappWWNng2tm5U1e9kXvt/bNypu87H9sXgmAlPIrKWUzKWVjKeWzlevGVgoRSCkHSylbSymzpZS9pZQFlesnSCkdletP/Dta+dpMKWVLKWVbKeUAKWVRNZ97aSIr4ucjkRlxgaIbkqLAifrN6EW/KOBDr+z3EJGQbjUzOLsJyWYT5aEw7287QFX3OGnA4o06izeecL4B0MltnbiJSnDuYlX83NUmlVGLjsZqNif1qIlV8QO2n7RPaUS46ld/wxvSKPXE32yWeiRSKuyTBjXtCoqQdK7VAKEIslJrURTyTdXjHQAAIABJREFUMaZ9Nz7c+wFTOjxBpiU9IUSc5+zfFUHXoV7Dk+4WKWkKqemCnVvCZLWv/veNZkacFCN2ewIo0kFYKSeoBBGYqW1sws0+QkYLpOoDaWG/LdokrfSgTlrdhKNGApCGRJVWtLT6sZtCgP3HN9CsZh+ey62NVTPjDYc5HvTy7eFdTO92LREDhBBIKTFkEEVE0KVabdaErHQgunXZQ8zoPJmxaz/koZYDyMqsxWdX9MVA8mKPtvxl2wH+ub+w8n0BwobBn7av5dluHXhiyZG4nhGeUCgmRJyg1CMxDJXrrvkWDcm+PZ9itqTEXvd63chEZsQvijR0UM0kpzej/1XvoBs6ffrPRBEKAYy4mGuU1oarmt6BRoDJna9gxIpvYhk2qWaNJ3PbYJFmXpt3wrsNTsxLmyW7eLP77QQNnaBUUEWICr0Cp2JlXfGeuGNy+0vQFAvFJg1pAkUxcTwY7ftQ26ExqnMGr23afnJ7X4BkszWW6aOKIGbVTHlI4PYdiN+3L4BN1U5Z5yEiBbWybqNcGnTsMIqCglkAtG59H5o5DZ+wkGY3IxQJRgSTiPBc95o8vrjq/KMWEze9HrfvDEsymmJnetcHOeg5xqwdcygKljM19072bHwHiMa9I6U+ZsOKNCTiPCuRNqumZS5bzbyzfRwJzn0SYsQFilU18VBWd55ZvRq3z4fLbufJjt2xVt4EWVWVB9s0YsKqbbE0tTG5LbCqJye6igKpThE3cUh1CpREYkSCcxghVDTVw9BOKjbVgV8PoKkehPjpTxdM5kz2+b14/F5SnfbTzgmnBTRhoAiVexd8y6Queczbt4vh2flkWq1EpI/hWfdSw5KOlhAiznsO7NWx2SE5NX5y6KqnsnVDhNJig9T00wfKkE9iq/KeFcdDgAUTZfgrM3fWOn2YA+uxBn6FZBNCpuHXdAJaKcX7M2j4vzq1JzjvkYZEFh4j/NZnmB4ZQIbdRZHPTff6A6mZmseLG1dyU+PWjFqxOHb9f7pTZ8I6DFm6KLbuuS55mIwgihJ9clxVkHDZk1AEjGozlBSThkmx8EjL69hVWkKSlsmopaeXZvxzfyEuuxVDGvzjwE5SzBam9WlLxJAgDGxqBEW3kOoMnzaG7vWU8uDyf0bT4ztfi0052QzT4XChKAkR7pdEWJyEgiUYUidihGKOGUkOF1f3nRmLuUZpbbih1UO8vW48RT432bXzmdl9HEcDHoqDXqZunEP3Wk0YWLcLqc7Qab97RBr4wgZDl56M1Sc6dOSdbWt5pOUNTNv6KZtL9wNwW6PeFAUFo5ZuwO0L0NOVyUv5TfGGI6RazLy0fjsFJSdLJFx2K7XtTl7Ju5pXtnzBgiObcdnSmN7lD7js1lhmxIlt/Xr8gwaX3YlEMmjpjFh5xQu5YwnpklHr5sQsQSfnXsebG79lQeFOXPYUXux4DTPy0wmEfNgsdjTFT1Hw5HFlpTbg4ZbXcN+Sv5zcR6cb0cIlZJg0dpdFeys6HC7UshDhd9/HNOh6qF3jvBMkEiT4MSRuKy9QIlLy0c5dPNo2h9d69ubRtjl8tHMXkUo3jYghY0IERFXhCau2RScNlehKmAF9VFKd0cEv1SkY0EdFV8L/3bFEQng8bsorDuLxuIlEzr/6twTnDz5D8o/9G3HZ7WRYNVx2O//YvxHf/+ACU2LozD24D1eyjVv6W+LOiV/1Vnhy9SaGLd6EIeHRtjm8vXULAy5tzuMr5hPSQwRDRWSYUxNCxAWArkvcB3Qya6mc6j1eu070hmnvjupLNcJ+iValn8SWMolEJ83YS/RyLDEox6SuBzQsRMUKIU24rfsp3q+jhxNuRhc9Hi/htz5DlpRjnbOBP+S+QHbtfK5sNgQpVYa06cJfd+2KuVu4fT7GrlzB935f3LrHly/FoibjCfuYljeQl7oOICu1VuxJctgIg1QQIomALgjo0OOSZoxaenppxq0t6lfW3rdGSoOX8vpzXcOmHAsUczxYzO6K73l+4zcYaogBfThlXiGYsX1F5f48jFixgJCWCkRvyHrlT8WipZ36LST4GQnrfio8h1E1KyE9yJV9ZvDrX31K985Psm3H33ik01Qy7C6uanoHb68bT4o5kwc6zaRv4wcp8hWSbDLz0uZ5bC79nsvrZfGvwp3VXjtf2rSdQp8/Li6fXbOaGxu1IqALnsq+kykd76VXrSxubNgnLvYWuo8zeNE6jgQ8vLRhA4NaN8Blj5ZHnojFkmARDy+fQVGwgim5v+epnN9RHCxmYl6r07ZNM6u47M7KdU4md+nNSwWfxZVXHAuFGV0pRESPt4wRq/7O1fXbxpaHrp6Np2I7Zs8W9iwfh4UwU3PvipVkPNrqGoK64Kmc65jc6SYyzA5GrPw7DlsNvlk7mTbtH8DhcNEzbzymkIEsKSf81mfgiXcSSZDgQiGRGXGBIqTgpibNmbh6YxXbobaIyrTLqPVnIO49bl8gZv0JEDAMJhdsZVDPxqSazJSGQ0wu2M34Li1/9HFEIiFKynbz1eLHYqr6Vd2nkpbSGE07/+rgEpz7qKj0q9uOIUu/jTWieq5zPio//cmaCcHldZvx8IKNpFvMTL6mHUe8IUrDIaZs2R17GhORkpc3bGN0x7ZYVQ23z4NE4xJnI8xawg3hQuDo9wbhMNSodbqWb7UJ0jIFe3dEyOkSP74ZuiQSJCZGSCk56NHQRQi7LARUJD7q6H40dRWlRNCkibAQGCSxJWkfDT3tOL5Hp1bzxKX7okbXkSeeAK/YTI1+7bmy+VgeWrgy7npfHAiwuaQYiN7k2dT4MTDDaqUkGGLk8rWxp9LPd+lLmsXEh7uXUx4K8utGnblv4TexsXR696uqnTuYFMH0/Gw+3XmIv+w8FLvB+8v2gyx0H6k8pu6EZYTnt83j7l55pJocpFutjF77LzaXHKuyPw9hCQOvm42iqFi0NDTrKZ1fE/ysGIaO1ZZO0AjjEzp/XPZgrFnl/TlPk2bK4J5Ww0hLbkqKOZOrWz3NM6t34fYdxWW38XzXWkzrfC1mLQlVaLTNqINX+MnrGYnNJ09cO29ufkncZ7t9PmrZHQxevDAWlxM7D0A3qp+3JpvNLHQf4d7WjZme346wYaBLHacGx4PRkogHWw5gwrqvY5kIM/JuYVqvNhQFApQEfcw9uIlfN87i1e6XETEkZWEPySbBgiOb4z7PqlmqtQRNMdviltEcWM12GrW5lZXLJ9Gu83CeadWbWqktKAspPLVqaZVMkH7M2DKXiARvsBiH8xL695tF6RejoPsogOj5rid6BiW4MEnMaC5QJILl7mO82K0LilAwpME/9+2nXpNLAVCFqDZNTa3ypE8TggyrmZAwCCo6IWGQYTWjiR+fJhYIFOEJlNLv8rfRpY4qVDwle7BZinA6/xe74QQJqieC4O1tGxjSphPJZgvloSBvb9vA0Hadf9L+AoEAEWkirEsGt2vO+9v2Ui6DvLtrD1dd6uKhtk0oD4X5ap8bBYHb52fi6o3M6NUVl92JJkRCiLiAOLRfRwhIr1l9YmEtl8q2TRE85QbO5JPbhCtdlk2VoXDIJwnpGobqJSJLgVSkKKNpKECpKUSxehDVcEZ7hksHa5J2cU0RFG6NJMSIix1VRaQlxwQJj8nOyIWrSLdYGNwui2SThYAe4YGstjy0aD4ALrsdvx7fd+H3LVszcvmSuKfSI5cvYXhOFn/evZKP+9zPawXrGdKmC8lmK+WhAMr/M3d4cP7605oCDs5uyEL3kcpxsYBXe3Ymw2onJAwCio6fCNkZNbm9WZvYeP3lgZ0oikoZTlRFIQ0IedwYho6iqJit6WiJMfVnRSgqNlttvChYFCdD894DIpSFyikLlZKpKJgUM4rQuLrFEJ5ZvSsaf23bkmK24AkbpDkz8UZ0LKrKO1v2cFXD2ry8cddpsROIxGfbuux2Dnm9cXE5esUKZvTsU23slYdCuOw2jgTKCfmOMWLlp7jsKYxs2x+XI5l7mvWPCREAGRYHEQmDl34WV5r0b/duXup6FSWhCtItTgoDpbhsaXGOF4FIEJc9JU6QcNlTKAv5Y8u9ajfFZs/AJ1S8ZXtp2fZu/IaKzeJCSjOPL194SibIWobn5CPQubbTUyhCA0Ujpc+jEFCggQv9uq6UmL3o3grMqoUkSzqKSCS3J7gwSMxoLlA0IbisXgOGLtxNoS9EbbuZid0ax4QEAYzu2IKJq0/2jBjdsQVVZQazIhjUqimjF59sQDWxe1PM/8X4JzQ7AUcmjywbSczep8MTCM1+Rv/eBAlOICTc1Lg1z65ZTdUaVPETstsDgQD7fTB6sTt2Dozq3JxNx0r5fatGjFpy8vya1K0xq4+csPL0EzEMnu+cT7olkQF0IXHksE5qusBkql6UzaytwCY4vF+neZuqYkQ0AE80sCwojT7lMkSIMjUECBDHqWmEKQs3Q6i7keFOSFmBkFbCqhlbfZ0jWyHY18CSlJiIXrQ4HZgGXR8r1QgbkG6xcH9WFhNXHogbk7LS0ikKBni6U2eSNDMuuz02LtZzOGM3RSeIZlBExyybauKmRm2ZuHpnbJ7wYvcUJuW1jqXLn8iACOuRH3xqfXLZT0iPMKhZb55YcpRCb0nlvKINb25bzUL397FeFp/sWs+fd2+IlYxcak1l3l+6Y3O66NR3Cs7URglB4mdE0xzsD/gZsWJOrBnl2Pb5TNv6dazR4r4jq/Ef+jcdWw0h3eLhgax2TFpRTKG3nNoOjSc6m5ix8QBFgTCjOzVgzv7vT5t3ju3UHLMq4+JyUpc8pq5fG3c8bp8PTcjTYm90x2Z8smsPY3KzsKoGUzfNx2VP4cmcq5mxZT7D215GHUdmTDzISruEB1vlUxbyV9u0tSIc5P7FH+Kyp/BU+6uZ1OF2Rq35U6xnhMueyvgOVzFuzVexLIvnO13PW9sWA1EhYlDzbty/7BPcvjJ61W7G3c3zGbl0Pm6fh1k9r672nKvvSGfR+qfY7p5Pqt3F9bnjcZhtYLMQuaUrxyll5pLBseyUwZ1fok5yk4QgkeCCIBHFFygRqTC68kYJoNAXYvSS3URk9CeXwCc7DzI4uwkz8nMYnN2ET3YepOr9WshQYkIERL2SRy8+8l9Ze5YbAYaveRa3/ygAbv9Rhq95lnIj8B/emSDBT0MiYkIEnKxBlfz3jZ9K9dPPgUkrimiTmRETIiB6fo1asptkazRV02W3YVIUGiUlJbIiLiB0XXL8qEFKNc0pT+BMElhtUTGiKiFfpRhRGQ67KwwkESQRyrVobJoppkLWY6/oB8KHkMkg/AhpAUz4XUeRBuxb8d/17UlwYSEUgahdA/Pg32F58n7MqsKgVi1iQgScHJPG5ebxx249CekRZmxZzWs9e/Np/yt5uXsPSoIeXPb4BwPRDIoTfZ3UmBABUXFh6OLNmBXJ9F7t+NuVnZneK5ul3x9kT0VFrAb/5L6iT61PLtsArVKIiJ9XXN2gaeVnRHtZtM2sW7kctRktqbQl93vcrPz3cEKB4jP6nSaIp0w3YkIERH+Hp9fO546ml+P2l/DYqndp1fgG1u/7AlUoDGrVslKIOPm7PrviOLe1dFHoCzFx5X66X1KDmZv3MDi7Ca/3bs+M/Gxe3bSWFzes49G22bzRqw8zeuTjDYcpCsTPEV12OzvLjwE+XujRik+u6MSM/GzqOq083LY5ZjWCLxLk0ay+/LHLTczYMp+ioBebZqrMBI66s9zetCvPrPuS4qC3Wqvb4qC38u8t46m1X+KNhBiaNZDX8x5iZNsbKAoW8cctrzCiXTf+2vduhrTpxJzDX/NI6+581mcQj7bqzshVf4+JH1fXb8fIFfNjlqElQX+155zP/z3b3fMBKPW5+WzVODyhEnTFoDhceJqV6ssrhlARLOFiQwhxhRBiuxBilxDi8Wpev18IsUkIsV4IsVgI0apy/aVCCH/l+vVCiJlV3nNL5Xs2CiG+EUJkVq6fIoTYVrn+70KI1F/uL724SGRGnIPohk5xoIKwYWBSFNKtSaj/ZSfpiCHpWDOJW5vXRRUKujT4y/ZDMWtPMLixaR0mrt4RpzDDyZo0QxK7sJyg0Bvhv+kDqEs9JkScwO0/ip7wDE/wM2FIg2saNOSK+g0xJCgCvjmwF0P+9/WWEQMyLCqDc2qQbNYoD0VYcsiDTTUxrlNTykMR/rTtEAXFXgp9IZJNFlx2G5O6diDdYsKsJRpWXkiUHDcwdKp1yjiBEILMWiqHD+gYhkSp7H4eOpEZUdkzYke5gS4CWEUYjxIVsdL0MN+af42BCYxUHIAiwxgkASYKI4do2bgu+1dFuKSNiaRq+lYkuDgQioDkaLO9VD1CA0P7P/bOO8yK6vzjnzMzt29fYPfSRJpI7+wuVVAwdqMxamJi+xl7QaSJooaAvSN2TeyamAQ0iRoLSG9K73WBuwvbd2+dcn5/zOWyl10NKCji/T4PD/fOnDkzd+edc955z/t+v+S6HdzW88TEWPWX9btQhYJT0Wjpy+TWbgUIBKpQiFkmVdFqHigoYtzCA/XrDxQOJNOh8HjBRViSb+CWEti+gsSlaoxs3QEhFWYMbUa1HiEQCvOvbQGu7NKGl9faUot+r4dJ/boSNPRG/YoMh6veOUJkONz1vtfW813sgERK6vPowpCy0cyBDIfP/hyuRCj7s15itPT5KAlWJbUvCRpkOO05sCQUo7nPw7VdOpLn8eBQQRMGOW43cwJ7eHzl19zZpx8R08SS8MTAoewOBvls905OadmKVr40JBZgcs+yv3N5hxG0S8/HkDqGNPBpPjQRoUaP0Mzt5Naup5Hr8hExa6k26niq8FJ2Bavwe9K4resomrjSebLoXJ5ePY/ZJdsYmn8iN3cbgmXB30bcTGm4kmfWfopbdTJj/b+46eTzaeNrhsTixk5/4On1z3Fz5ysZs2wyACPyepOjuDBwc1vXkWQ6vVTHQjRxpycCEQB/2biKO/v0TcrcfKCggDnLbgegRU43+p18LS5nDi5vUzQMVIcnSUoV7ICEYf28yOCFECowHTgN2AUsEULMlFKurdfsTSnls/H25wCPAqfH922RUvY8qE8NeALoLKUsE0I8CNwI3AN8AkyQUhpCiAeACcC4o/YDf8ZIBSOOMZiWyeaaUu5Y/PdECthD/c+nfUbeYQUkfA7Bhe1ac+enUUqDkjyf4O6hrfE69jsBkne3rOOWnm0TdZrvblnH7T0OPKeqsLWb6zsO+T4N9TAWmFWh4vc0SwpI+D3NUEVKpiuFo4M0zUGRvxU3zF6RlEac9h0CAx4VruuRx8PzdEqDevw5yuWZxTHm77LI86mMLmrLjNVbKY/oNPe5mTG0gByXMxWIOA6xN2AHtL4tGAHQJE9h13aTslKLZn57rNNDB4IRYUMSCEssRSfXClKLE4mFLm1y4La1zShJX4ykCFUqSKEhLBeB2gAje2tU7zZZ8fcIBVd4ktQ5Uvj5wZKSbbVhQrrFDd3a8fA8g9KgPTaNGdiOmliYOkNn6tIV9cgte/Depq1c2bkjO2tLeWLQEKqiMSqjEV5cu5qrTu7C37d/zfWdmzZao+/RVK7/8nP6NmnGr9r25r4vYgk/Y3SRxr+2lXBVlxPZWbuXm3uczHXdOuBSVBwqGJajUb+iRo/WO4eXGr3+OdNR60kaetL8iJTU51GFJkSjcq81up054PdkI1FokdMNpIEiZOP3NWZntAxunoWw3Dw+L0ppMEqeTzBmoMp1XXpxa/eebKquYkFgD6e2asO0ZasTtjqtsA8vrVudKOF5rGgwY7pczNQ5FqXBmG1zAz28s2U1v+rQmr9uWcvF7Xswfc0Ccl0eruw0gMlLFhEI1THU34qrOvXiiRXr6xFjFnJz10JChsbNs1fVk7rvyB3dzyTH7WR8t98yfuGCxDF39e3PuC7jCFql8b9FM2JmCK+nOaUxweMrZycIX58ceCp+b1oiILG6ch/vblnDkwMHEDMipLsycBMlGCmjRU43+nefxN1fLUiUxjzYfxQZqichpbofuV4/mnJs+xgx0ygsj9Y+YkrTrwo1kOtKv92pagu+R5f9gc1Syq0AQoi3gXOBRDBCSllTr70P+F/LpyL+zyeEKAcygM3xvj6u124hcOH3uPYUvgVCyuNPJqxv375y6dKlP/ZlfCfsC1Vx1dw3GpDjvDToNzT1HnqGUGmdxeiPIpQGD9zfPJ/g0VFu8tIUKiIhqqI6JaEwbk0lYpjkez1kuRzkuL3xawkR0gUu6UBBYCGJCh2vQ9LUe2icD3WRavbGqtkTLsejeQgbYZp7cmnmzCTNnXnIv+cYw1Hx/n/KdnssoSQY5rp6RGpgO9AzhvUk3+f5liNtSGmhhyuxFB9h3Ylh2qtEb67R+fdWkzyf4Lp+Tu75wnae83yCGwstnJrJiekust1OxLFZx5my2++J2f+JsGu7ySlnuBrIetZHNCr57IMovYsc9Oxvrx5umRtj82ydPpe4WFdrce8KnYhaRldjHcvSd4G0UGQG7WJ7cUZ6E01/hZLIFBBBYqrAUDdQJLdzV8EfqCkx2fCpTt5JKj1++e3XchzgiP+448lmyyMxrv50GRP7dOXxeWqDOf+RUU621pbz0rpNrKmwV679Xg+39OjCEyvWMGNoIdfO+Sypjt3v9TJjyDCciqAsYjF+/urES9r9RV15cd0K5gT28M6p53Lnf80G57xmQIzHV6zjlp6teGzVQp4bMgoFiFkGLkWjMupgwpcHuKieOiUP1VIRUmBhYWk6CIuIafDB9jWMbN2RVu40QkY5KgouqeDyHNMklj/5sTYWCbEtUsfYRf9JvBjf338U7237giXlG7mr5695Z+uXXN9+IB5XPhKFoO5M3NfBLbyM7tkULIEQ4NAkjy3SmbfrQIaiPXcaeJ06k5cs4OnBw7hpziICoQNkkLatdmLcwnkAPF44gqcXeBrY3K0DdXQZoXV6Gpa0cCigS5Ob5v43EQh4cMBwHl+5soGtPztkRKM+wx29T6RNRhrXz/miwTF39OpDS5+LJ9ZN54r2v6SZqwkWbq798pOkTIih/lZcfXJPxi78PBGguK93bxavvBcBDO3yf+SmtwEp2ReuZexXSxsEgJ4fdA7h2G6eXjI2wRlxY68pNPe1wek9opK3R8xuY6ZRuKW2ZObYJa802c+38WC/K8rapeef810DEkKIC4HTpZRXx79fBgyQUt54ULsbgNGAExgupdwkhGgDrAE2AjXAJCnll/X6fRkIApuAU6RMTt8WQswC3pFSvv5drj2Fb0cqM+IYgy5lo7JB+mEGjQyLpMEa7O9mfFPMNKnVdR76ak0iAn1P/x74tAMvUQ6hoMUcvP5xlKo6SVaa4JKRLhzOQ69XNswIEdPkgZUfJAiAHuj7WwwzAvxkgxEpHMMwvkG21jiEZ0hKi2DFZjRfa8prHbz1cSRh+xePtB3ff281SXcemLNLg5LmPjf3LVnBnwo7H6uBiBSOAPaVWGTlKP/z5d/lEqRnCvbsNOnZ396mhyWKAxRVsKXWtkUpTLxmAIGCRIJQyI56CQIuMwNLLUE1WoNahcBDsbTH3ox8lZY9Jbu+Mti51OCEfsf2ClkKRw8x07KlNYXa6JxfEorw0Fermdi3B8+uXs+aiioCoTAZTodNtCtlo4R6VdEIIdPinY07uKXniWS7XOS6XbgUmBPYA9iZj6UHlVyUBiWZDieBUIQmbi+BUB2l4Vp0S2f62s8pjwZ5ouAinhmRj25JvCqEgw5eS/Iz3LyyYyFLygI8MGAYfreXyXN+lXgRu6nfwzQ3slMe7FGGU1EY22MQHs1B2NCxpMVv253CL1r1Yfr6D0GCoTbhuvgL/2unnMtNvb3ke71kWG7+MuvAPf3lMBeXd3VQEdZZV24HJEqDEo+qkePSuKdfb8KGnhSIAOK2eoAE1aM5G7XzfK+Pm+cuTfizUwv74FKspMBAhtPVqK1HTbNRn8GtOTAs6xtIXlWqYjH+r8NVpDkEVy0cx7097ko6H8DsQDFjuvfl/u5tSU9vQ1nNxkQgYni3G5i55F6qQgGyvH4uHPpao6Uxe8MlfLb5RcYWPQuWiVVbQuXnjyNPv/8Q7uKPg/Jo7SP7AxFgl/WMXfJKk+cH3viI35tddDTPLaWcDkwXQlwKTAJ+DwSA1lLKciFEH+AfQoguQBi4DugFbAWewi7HmLK/PyHEnYABvHE0r/vnjNRQfoxBEYL3T7mWHLKQFggFKqhCOcyVL02xUyYPjh6rCUkBhXsWr0gM/IFQmHsWr2DG0IJEe2k4eCvuIABU1Une+jjKVecc+mpEVGi09Ph5oWgMhpRoQuBVBWEreFi/J4UUDhXaN0jPNSZJG4lECBkaCiClghAWDq09ZhhiQYs0j6CqTlJVJ3n74yi/OcPF8lKL2ljyc7W9to6KaAyHmkodPl6h65KaKkmz5od2j3ObKezcamIYEk0TxEISR7ykYnOtharoICQhtRTIQ+Ak09pHDS2QIoJmtERxrEcxOiKlQEgPJZoDKSVCCPI7q9SUWGyeHaN5Nw2H+7jOjkjhG+BUFfxeN9V6jDyfs8Gcr1sGt3Tvjku4mNSnD1OWLqMiGqUmpuP3evCqKv8efh6qVECFkBpFIpBAZW0d5ZEor63fzFUdT8ZtgdfrZKi/ObMDezCl2cDPGNhSoaXXycyRg9FUeKrwVBQETVyZ3NfnAnTLYNHeTQz1dwJhIsyMRv2MK8/oy8ydbzFu0Rc8O3hUEnnfU0vGMHHgi+SQkgc/Wqg0I9yy8B1ynT5+17GITKeHqlgY1eUlz5PDTSefR64rnVvmfZZ4AQ+E6nhi5Ubu6NaTD+aIpHu6YFWMM/s7+WOBi201Fi+v1cnxQJ5LQ5iQ58hBaCZ+r6dBZkRNLEbX7Byu6tCDfKeHB0+BV1YeCGrk+QS76mqT/NmJC5bxzNBCnh18OpaUKEIh2+VmiN/PnECgXv9eTMxyTgjhAAAgAElEQVSEz9AlO4PLOp1AjttJhlPFrYqE0kfX7BwuO6kz2S43mU4ntXot45b8nZcGX8YLBdOxpOCxolG8tG45qyv3xftPw0LidGqkKVHqFINRvcfjdOVTF61lWK+72L77Y9q0GALCarQ0xrKifF0ym+KajYwf+DxktqDZmdOQwoWU1jG5AGJK019fEhXsgIQpze/z0O4GWtX73jK+7ZvwNjADQEoZBaLxz8uEEFuAjsSzQaSUWwCEEO8CCWJMIcTlwFnACHk8lhIcI0gFI44xZCpuoiEHS/8WIVItcWcKelyQiSv78NjT0zSdycNc3PvFAc6IycNcpGk6oGJKGo1A1yentKwDk8l+VNVJLHnoTm+a4qM4HGsgA9bK4zus35NCCocKt0qj0nPug94hI5EIZbUaXyzTKezmZOGqKCNOdrJi1oFn77yzXfxjWYxd+yyq6uxg2uRhLl5fYRNH2TXSCu9sKebBgd3IdqVWqI9XVMUd3/SMQxv/cpsqbN9ksnePRfPWKrGQPKCkUWOBYo+/Zc4YSIHAjZfNrMvdgpAqJ9Z2wK0uR+ccFGlhShcxoVGth8hy+hBC0KqXxpp/xdi5VKfdoJSE7M8R2S4HDxR14cU1Oxhd1IFH51uJOX/8YBVFldy/uKqe3GJPXA6dP6/bxFODCxBVGiv/FkuMed0vdPNGyTZe31SM3+tmSkE3nDEX//zMiq9yx7h5ZAGwkNc3ruDuYQc4Iwa2VPi/bk5enRmtl1GWj8Md5Q9zPk/U3N9fUMR7W1by+pYVfHjKHxr1M7Q4r1QgVId50DtAeSiQIsE+yjCAXKeP6zsPZ8pXXxAI1TI0vw1XderHTfM+IBCq5YUhFxxEzriSiX37kYEn6Z62bKrYc+ub0YSd3XmeC+GVvPZh7EBGzCgXUwv6MHHhsiTOiE927mBMpyI+/Bz+VRclK01w0ykunvoqRkVEcvcwJw82kAINE7Ms7lu6lLv69mf66pWURyLcX2Avys8JBOIyooV8vns104q68fKaHfyqQ2umLt6RkMe9r7AN0wYU8fL6tVzU7uQk0vdpRV04t1VPKiIwfv7KenwTBUxfs5DyaJh7+hYwfvm9lMcqebjPnXxdtpSOeedw7+JPE2Ub9w+4lhc2PUf51n9yV++b+ePyLxOlMff2HkSaGqZtdje2Vq6iMrKPqV9eaZdq9HuIpnoYb4b/mAtIqEIN+D3ZbeoHJPyebFShBr7lsP+FJUAHIcSJ2EGIi4FL6zcQQnSQUm6Kfz0Tu+wCIURToEJKaQoh2gIdsDMh3EBnIURTKeU+bHLMdfFjTgfGAkOllMnpMSkcUaSCEccYrKiTFfFABECkWrLib1H6Xua2H5lDRK1pkeaM8OgoD6a0yShNGabWFPgAVQiG+PM444Q2ZDpdVMei/GvH9qQMDEWxJ4j6k0pWmkARhx4crDVl4qUQ7NS3CfPXMGNYT1LhiBSOBsKWyYqyYqYP7YGFrV/8ZWAbmS1OoD7rSsjQePvjGGcUOfn7F1HOLXCyYVY06dnbMCvKiF84+fN/bQdIU2Hu7q2M6JjDpT28ZLscCGEwru9JZLsch53BlMJPB5Vl8WBE5qHd45wmCkLAnmKT5q1V9JBNXlkTk+yLgqmFAUmVCraVCnZrCh49B0OJsMu3E79cSzVxhi3pBByUVO4iK+8kALw5Chn5CrtXGrQd6DjeuSNSqAfTMqiI1KBbJrkuB6N7tceUkkdGOTGlYG8oRExGmTqv5iC5xXKeHJ7Pdd064TUciUAE2GPeyr9GuejS1ry+qZhAKEI4Ivj3F1bSKvfbH8cYf04BIRHGo+j2OS3wCMHLM6MN2l5xjotbu/cjw+GiRo/y0rq1XN+1K69vWYEUVqN+hkNVeGfERczasbaBz5Hr9adIsI8yVGBs91FUxAz+1PcMfA4HbhWunfvPxMq9bpo8VjQSj6pRE4vyl40reXfLasZ1HUxWmp64pyN6OBrOrf+I0vosZ3JGzEcxTh0uuLNvD5p50pBxNaxftenE6x+YSW1nfh7l7rNdBKWBV9OpiEaTrt/v9WBJu8Tij0sXc2v3noxbOJ/xC+fz2MBBXNKhAyBJc6ic1qozT62ay43dh3Lr7GTJ7rsXbGdC/3xu7NaTW+esauDLTh/aK0GWvX/7lCUbeWLIEIqDZRiymtXVtqLMmGV/Ynq/+7l5/tykbJLxi+Zwa48zGbNsEk+tf5I7el5BK6+fktrNzFpzL9WxMi7pejtvrX6EmqgtaVseCvD0kjsYV/A0jnAlTm/uUbCC745cV/rtD/a7ogFnRK4r/fbv2mdc1eJG4CNsE31ZSrlGCHEfsFRKORO4UQhxKqADldglGgBDgPuEEDq2FNC1UsoKACHEvcCc+L4dwOXxY54GXMAn8bl1oZTy2u96/Sl8M370YEQ88vQEtmG9KKVsUAQlhLgIW2ZFAiuklJce3OZ4gbRIDNj7EamWHK4qoQD2hCymLSpOkERNGJBDqzR7AlcFXNmpa1zv214x+dPArvXKOEBx6Fwy0pVIodzPGaE47OyKQ8H3qd9PIYXvAtOyeGTVEh5ZtSRp+yB/q6Tv+zN/PC77f59LNPrs+VwiYftvbl3Pa5u2JlZsMt0Kbu0wooQp/GRRUWahquD1HdoLv+YQZOXYvBEMtKU9fTmCLbX2YK4TwykUwpoPpApYCFFHy9pfENLK2Z2xCNNwIImiSAcmEqSDkopiOsWDEQA5bRS2LzSo3mOR1SL1gvZzgGkZbK4JMGbJqwkuphmF1xHUNcYvmE+O28X1XTvhEK5GZTQNSzJl2WIe7TGs0THPxYFVVp+qNZq5UBIKcvl8m8vt7eGXELUUXGp649mUluCpZRFKgnVxX6Q7blXh7Nad0JUoF4/08vbH9bMpXDy7uoyl+8JMHdSVTJWEmsB+zoh09YgS96VwENJUJ9VC4eHlB7IUphb2IdfpJRCqpWtWHopw8vDylYn9k/r2J9ul8da2rzl3eFf++Zl9/9Pdjc+tLi15LK2qk6RpDqoshds+P0Bw+syQFlTVGQ3aWpbkj8uWcGJGGlML+zBxQfK1vrFhPRCXio3zTgRCISqjEd7avIyrOvXjxnkzmdxnBLNLtnFJ+/6JQMR+lIRiaIpKeSTSqC9r0bj8bVkkyK0L3+LZQQcEGALhvQjhbMArEQjVkeGwOdRWV2/gliXjebVgKs8uviHRJsOVw5W9JvO3tdMT28pDAaRQsMxjT+LTqWoL2qXnn/P8wBuPpJoGUsp/Af86aNvd9T7f8g3H/Q342zfsexZ4tpHt7b/PtaZw6PhRgxGHohkrhOiATSYyUEpZKYRo9uNc7Q8DoYA7M3ngdmcKDjcDS6IxbdG+pBWRaYsqmD7CLtcypcad8wJJ+++ctzexHyBsWsyr3MEVZ58AUoCQfFqygyHe/EOmnjyc+v0UUjgSUBUlSUoL7LpNRUl+iPZn/oSj9v/BqGz02ctIE1x1jhuHI8YF7dtwXrsTUIUgy6XiPnbZ3FM4wqgos0jLEIeVfZDTVGHrBpNoRKKHJJpfYXOtBCQWFulISnBjZ0bUckIsiMPykBFrQanpoVr4QQ0grGwEBuAlUJ2c5ZrdWmXHIoO9G81UMOJngopITSIQAXYt9o66Mv6+fTUT+gygmScTl6qC1BqVWywNB1ldUYGO2eiYF+XA6kfQNMhK0xpkLoTMA3O6ECoTFyzlhcFDG81y2FEbO8gXqWT6cD+/6dCb6+d9RL8mfq48oy8uxYEuLV5ZV84H2+3V94lzS5k+ws/EgS9iShNVqKSr2TjcqSDw0USdCePjL/dwgIdhTO8B3LZgJr87qS9/XLIyaf+UpSuZMbSAc9t2JGKEuOKcTAxT4BOicTszkgMUWWkCj0Nj3Jxk37W4Tm/UrorrdC476STGL1xEptPB9KGFWFJiWBavb1jHrJ3bgbhUbCyW+NzE4+G6LgXctuBDAqFaamJRW7Y0FiLf60wKSOR7ndTEIoBs1JdVv8HHrdZD+L2Z1Oj1lPE8zZAy1qh/cnC7kF6V+J7r9ZPjzuP1VQ+ytXJV0nYhLRTt2CzRc6ragqNNVpnC8YEfu8gooRkrpYxhk42ce1Cb/wOmSykrAaSUe3/ga/xBobpi9LjAhTueCmxzRrhQXYcX+TQtGl0RMeM+hiUb31+fM8KUkkdXruXMj//NmZ/8izM//jePrlzboH7z25CuCqYVdcHvtR2H/XV26WoqGJHC0YFHUWwGdm8aYE/0DwwYhvegYASKzq9HOlm+Qef8YS4Wb9I56ezkZ6/tOQ5GL9pDCINdkWKauDRapPnI93lTgYifEaSUVJZZpGce3pSZ20xFSgjsMDB10Nx2ZkSGwwLhoJkRAukAFCwlSKuo3b9AkBFrQZ3iRihbUaQ9fiqWl+3RZFIwzSlw+crYtWQtFRs/PvgSUjgOISWM7nIRrwway7vD7uIvg++gVVoe5ZE6bljwGr/67GnO+eQJJi59i6mDmpHvs9edbM6IHJ5b8xV+r5dqNUL3C5xJY173C128u3MnYM/XuWkql4xykpVmt7Fr+51keVX83nQAwoZBIBRm5s6tXDzy4LYunl9TnnT9JUEDU4JXdXNO6/bM3LmJ8z5/i6CIccG/dyQCEYm2FsRIJ0oGMdIxgYpggH11xVQEA+iR5JXpFL4/jG/gFWvpy8LvTSfD4Wl0v25Z3LP0E6pjYd7YtohqqTNlRSltz3Ek+7UXOhE+I8lWLh7pJGTpDXzT59eUc8koV1Lbs05x8PyacjKdLvxeD0X+PKqiESKmTsTUWVpmvyr4vV7u6tuf1zaux+/18kDBQIJ6FE1RyXXaEvV/2bicSb2G8+HO1Uzs34J8r/1yn+91MmlAK/6y8Ws+3LmxUV9WFbEG2+8Z0JEPdy7nwf7nM6v4P/Z2TzMe6jORBTveZnLv3kn+yf0DhjCr+MOkdgt3/BOwAw63DHiMDFcTzut0Dblef2L7jf0ewiudODypLKEUftr4scs0WgDF9b7vAgYc1KYjgBBiHnZtwD1Syv8c3JEQ4hrgGoDWrVsflYv9IRCz6hBZafS9zJ1Q0zCcMWJWHe7DII1QFRpdEVHjvrQiZKP769dmaopolNlYUw49kBCSUVp4XMwY1jOhpuFTBSEZxXc4JBjHKY4Xuz2WELFi7Kwr5dnBozClRBWCVRU7yXK1IBNvop2O5J97NnJBYXs8quSMgS4kFl0vdRKKSfZGdP64rpTyqImqQHvPCWjH6ArED42fm92GQ5Jo5NDJK/cjK0egqrBnu02253DB1jILjxZFGApNjL1IHCgIJHVkRbMpi4/R6dHmVHg2g7oHRXfZ2WnSww5Fgh4Dh22L4b2LELEV6PqlbP1kDBmt+qGlnNMGOF5s1pKSqpjCk1/vIhDahN/rYWLfbryy/itu7HIaT6/5hNVVtvRmeSxIjD08dkozVJyoCqjC4L7+BShC2KtR2Tp9fudCmiBU0B06F6a34Pz2zVGFwKVKcOlcea4DyxIoikTVdFTTwXODz8e0LFSh4fd6eH7dRgAuP6ctSLutVEzKo8lkk/k+jU3VdTyxYgPTiroA8Nz6rzGl9Q1+Cfzhy/8kCP8eGDCMyrpVPL9s/AGpT048LrMlfiy7/Sb/rzRUy9geQ8n3+BrdL4Qg1+XlP8UbuLxjH3QryjkdNIKuCF0udeEUCiWRINVegwyHgyvOcSClYF+0hrnVaxnm797ABsqjJi6vxbChAp+mURUzeHSVPTfned1MH1KAELA7WMcr6zcytmcfnh06DMOyfU5VEdzXbwASeGLVYmYHivF707i7TxHTV89ndWUpM9Yu5KpO/WiV5mTG8A7ELJOgUUumU3Bvv8FxJTgHM4b1wJCgCXCoJhoqLkVyR++OuDWViGGS4XAxtvtwsMJc2fYsrmh7NiG9ivlb36Jv8xG09HmZMXAoEo1wXTEla57l2ranMqbLVWgSPELlsm53cGnX23GoLjLcuShCoUVaByYOfAlDGmhCxat4cLkzjjnyyhRSOFz82MGIQ4GGzXo6DFvGZY4QopuUsqp+Iynl88DzAH379v3JEhJEpZtrvpjXYIB/fujBMZpvhyos7hzQhD8tKkvU3d05oAmqsFMjnKrOnwY2i3NGGHHOiGY4VR2br8VOm3l4YF9U4UAgkEhMqR9WOo2U8JsvXyIQqpeC5s3kxUG/Pazfc7zieLHbYwmaEOS40/jDvL8QCFXj92Zyd6+zGpQGKUChvxnbQlU8tHwLOS4nd/Q+mZAu+NPies/FoDycqoGmeRs/4c8QPze7rSyzf+Khklfuh6oKsnMV9u4y8QBhFapi0MRnj+9OYwvEi96y5V5iVqdEvqLXyEVIBUspt+ktpYrAzT6XC3XnOsx2PQCo2vQaTrebcEyjWHQka9lLtB805kj87OMKx4vNVkajjDsofX7q0lXc0qMj9y1bwNieQ7l14Vv4vZlM6jWSVza/ydUdf83K4g8paHU6zX0n4nQc9NKe9PVQSn0cZOJJfItEIkwr7M2EBct5ft1GZu0oZmphH4KRIFuqy/jToI7cOXdvPf6qXGas2lCPBLAHz63/mlk71jJ1UFcmzj3AFzB1UB6rK3bzeOHpKELFkiazdqznV+0KgeNf6vPHsltVWEzq15UpS1bTp0kTftupA5pQUBXQrRDvbVvM/YV9EqUcdlCsB0+uWMstPYawo64cUwpGz/+SQOiAEIHf6+XW7j15fN7XPDNkKNcueJlcl4+rTxpEUX5bKmLlTCrIYsrCqnq+aVPe3LyEorzOTFpUndg+bXAeUTPMbfFz2OoYRZTH9pKpOfjy64c5+aTLmLTySW7vfDOPr9iaRBx537L5jO3Zn9sWzKI8GqKJy0WaDBE2Q1Tq1dy54nEC4b34Pc14pM+dLF/2DNt2zeaMYU/y1+XTqAoFuPoXnzJ67voGZRpPDOnEkwuuYUzhMzy84PoE38nQVmfx6dxx7C1fRbrPz7Bet7O3ZBGdT/41FZ8/TPXW2Yl+nOl+Ol30Z5R4sEHTNHK0/B/IAlJI4YfDEQ1GCCF6A4OwiSbnSSmX/49DDkUzdhewSEqpA9uEEBuxgxNLOA6hS9l46tthEj5GLYvpq9ZzU+8TyXQ6qI7pTF+1nnsLTgYgZMR4b/sCHh46FFVomNLg9c2fccVJheTE+xCAbmqMmbc5IXM0bWA7xGGoF+rSSgpE2L+nGuNwGTlTSOEQETUNpq/9nNu6nkqm00N1LMz0tZ8zpc/Zye0si2dWr2dS314EQhFyXM54TbLgsWF+JBKHIthUFSDNmZ14LlL4+aEyLuuZdphlGgA5zRR2rLDwAKXxGumwDAEOqrRSBNlILFqYe6hRhiWOEyj49Gxiai0a+8XQXQQVJ8aGRYh2PdBDe4iULSbatD+yxkKanVix9W3aDbw9paxxnCJmWo36CBlOF4FQHc29Gbw85BKauLMQGNzR9RrcKOS1u5h0R3bDQMQRgNvtpg0wY2gBUctiV7CWh76eR3k0zKTehTTzSKaP8GNasKm6jhmrNrCmsiZ+7TYJ4Psjf4mmKCANHhnWFAUFC4tMp8SiKaPnbE34IVMHdkoKLqekPo88oqbO12WbeGFYIWURyW2zk/3A89p0I2YZ3NKjCxlOBzUxnWdXr2dNRRVXdm5NC18aApEUiIADZJKBUAhLwouDLqMyFuKOxX9LLB48PuBXTB+RR00sjNfhQJGVnNvmRLyaxhPDm1ERiVERDfHC+vlceVJXnhg0GBCY0uSNTfM544QOOIjRs83Z5HnyeX7AFCzSCYRWHnQtdbRJy+Ifp/0GVVhooQCKrpL+5Tu0GXUNzw+YgiktouFymqgemvcey8Aet2ApKlUhm7vHklqjBJagUh4KoAqVCQNfwJQmtXW7Wbb8SfaW27wPtcEAWdkd+cWZf0ExTbbVC0QAxGoDxyQ5ZQopHGkcsWCEEOJu4FfA+/FNrwgh3pNSTvmWw/6nZizwD+CSeH9NsMs2th6p6z7WoAkaL404TL9SE4KKaIzxC1bU6+cAcaSqKCwp387M4vr7M7laGZj4bkiVCfM2JMkcTZi3hRnDDzC5/y+owu734MyIw6j0SCGFw4IqBOXRIGMXHyBO9nszUQ96OdOEoCISZUdtLX6vm8s6ncCk+dsakFdNP6UjikiuYU3h54XKMguXG1yuwx+4mjRTKI7Hkot1iQDqrDCgEXAa2KkQUVoblRSL5PIKr+6nzrEGD1EUqcTlPTX2BtbSYtUcaqJLkUjK5Ha8jgDpZk9K5KuU7l5IfsvC7/mrUzgW4VSVRn0Em4Qvje3BHTyy9kleKnyAPG/eD3ZdbrcbGarj5nkfJZHzTVm+gBmDR3LOp5OYNeJPPLFiQ6MkgGd/eg+zRtzHtfFyjP34x8iLmThva5IfMnHeVmYMP4nRg14jFKtk4c73U1KfRxiaojCiZWdilsKEeRsb+IHPDO8IRHhixYoGtuhUNUrDpeS5W+D3ehtkRtTEYvi9XoSATTV7eGDlpwkfMRCq5tZF7zG2x0B0GeKR5c9zV+fLeXbRaP502mfcMDfZPjZWV3Br9x6MXfxevP9MTmnZgmbOLGZ9/Qijet7OO/PHcOHgFxsljgxVrGPtJ9cD4EnzM6jH7ehdB/OPT6+mNniALDjd5+eCU19CVu4iqkKW1x8PSMQaJbCUUrclaBHoFVsJKzB36bQGfWqaB48nFz1YjjPdT6z2wH5nuh9FTZWGpnD840gWGv0G6CelnCylnAwUAJd92wFSSgPYrxm7Dnh3v2asEOKceLOPgHIhxFrgc+AOKWV54z3+9OETOvcX9MTvtVMg/V4P9xf0xKfoh9WPU5GNku04FdsrdgjJ/f3Ox+/NjO/P5P5+5+OsxxlhWLJRmSPTOpwsDZ1JvUYmnWdSr5HYEsAppHDkkaW6eLB/sm0/2P98stRkwkm3CtMK+/Cv7cVM7NuRHLezUXu3JGSpP4WKthSOFirLLdIykqfLipjOP3aX8klpGVHzmzO9MrIEjvih28praOaCiCVwS50KRxqgIAnRIlqHIZIdT1+sGQiJpZYgUAEnSAfFubk4Z79HaOsspOWhVi9FePYi9A4ICZvXvXOE/wIpHCvIdrl4sKhfko8wsW83Pty5iUm9+zCr+EMe7nMnOc4fnjfEklajsoWWBL8nm8V7VzXql6yqsCUYzUaO/yY/xLAsrpj/ElPWfM6oTreRlpL6PKJwCIEmVJvsvFE/EOqMWu7q1/UgWzyZ6etm4tM8WDLKtIIi/F5vfL+XO/v048Md25hWUEjECOLWXI1mz3pULxmOdALhvXgdWeR6/VhSNmpfOS5fvP9M7u59Ok0cbjQzwrn972Xe+j+T5fXTzJPBAwOGHERsPZRwyULADkT0H3Qv4rNXsTKaJgUNwM5isCwDV1Zrdi95gV8XPUSW18/y9dOZVtg5yaanFnZmwY7Xuanfw9RtnUNaeksy01oyouBe0n12KVG6z8+ZQx7D67btVvNm0+6sR3Gm2/ud6X7anfUomjdl1/UhhDhdCLFBCLFZCDG+kf3XCiFWCSG+FkLMFUJ0jm93CCH+HN+3Tggxod4xtwkh1gghVgsh3hJCuOPbb4yfR8YXw1M4SjiSHvYe7MrD/eFBFw1LLhrgEDRjJTA6/u/4h5BkUsGMoQUJwkeie+Awk8Sj0iJmhJKII/eGqolKeyA2ZIziui08N/DyBMnfyorl5Lg6JvrQFNGozJF6WGkNkqZOL88N/H3iPBGjGruSJ4UUjjx0o4YT3Jk8P/CShM1lqi50owY3ttMSiUSImArpDieje3ZFFWBKpVF71xSB251Szvi5QkpJdaWFv+WBldcdwTCTVm8iaNqp4f8O7GNyl/ZkOhrWsAkpSddrkKSzMaJwUt02tmU5aKKH2OnKQCBQKMMlGx7rNrNQpUQqe1GMpggESC/rW+TTo3VPwsWL2OXxUqdBmTqPprFeePQs9pWtatBXCscHFCFol5nOi8MHEjMthAAhLUZ372fX+Xe/CdNSKItGcBo62S77RbAyGiVmGihYaIQAiUf1YhlhNM1DlWVgWBaaopIeP1et1DCkxKs5iJkSQ1poQuBRJbrU0aXElBaaUMhWfCgChvpbc2brjmQ43dTEIny4cyOaojCj8CZUIUhTHUl+ybbaHTg0jeeKbkBVFIb6W3Fm6w5kOF3UxKIg5DeOy387ZTwmFrN2LOLitoPIqa4CywBFQ/HlomqHUVOaQhJMy0ARDoTgG/xA0E1Jc6+XZ4YWUBkLUquHQIS4tN0pGBakuTx4UJk++BRUIVCFTcA6ukcv9ob34VLTyXVl8njBxby4fg4A13c+hTyvPS5a6AxtVkjztDbcPuhNkI3Ldvs9mXw48hZMKTGlxNCrcLi9WM5Mzi56EC8Oak0dhxnmqYHDAAUhJFG9gmbdf0/Trr/FkhI9GsJ99h0o6bmk+/wNshgwdVTNix4uxxkOcmHPCSgOD5q5i+mDO2EJB5qi4BJB8tpehBcn4sQROIQPj2niSkvn/BEvIrHQVBded06CfFIIBU+T9px00atII4YQKpqSBlIgsYhEKjHNGKrqxO3O/lmSVgohVGA6cBp2Cf8SIcRMKeXaes3elFI+G29/DvAocDp25r5LStlNCOEF1goh3sJeGb0Z6CylDAsh3sXO0n8VmAd8AHzxQ/y+nzOOZDCiGlgjhPgE+03zNGCxEOJJACnlzUfwXMctVIePqmiMsfNeTdTPPdj/l2Q5fIfVT4aiUa05uXbOpwlin/sLishQ7FvuUtyckNaN62cvTJAPTSvsg6teoCFdlUwb2I4J87Yk1Qqmq4ceSMhSMqiywtw254uk6/Arnv99cAopfAc4tAxKIjt5evGYBGnUjf0fJt9tM5FHIhG2h2NMmL+GQCiC3+tmYt+ObKuuatTeParBflLXFH5+iIRt8QpfXFbOsCQPb9yGImB0uzaUx2K8uSvAYxu3M7lz+wZcDc41q0mLeJL9Y9wAACAASURBVKjRMhCql+y6vUAr2gRL2JbmRQDpBLAsX5wY4gAEAq+poauVuHQPyBoU6WVzdD113hAxIdnjDaJKsByb7PMZJ1EVW0QkUonbnVpVOx6hCEGu241pmWypLmXMkr8TCFUzNL8jV500mPGLPyIQqsXvTefJorOJmYI7FsxNzMF39+nCl1uf4txO/4fH0qgwdMYueZVAuBK/J5tnCq8lqEvGLf6AvrktuLBdLyYsnJ80h2c64Zr5zxAIVzI0rwtXnzSS4toyrurUN2lsnVbUl9m7N/PI6nn4vek8MGAUyq7PWbfoIU77zWyy3L7EuT8YMZmrOvVifL1zvTB0+DeMyxZnfXo/fk82D/S7HFVolLz5e4yaAFqGn2bnPwRN2qcCEt8RGaqbGssgqBtMGnACUxbtSPr7/3XzVor8TZm4eA7l0TCT+xbi0zQmLv2QXKePcT3OpjgYZcrSFQkfc3L/Hjy5ahHl0TAPDBjGktJdCbuY1u8XCAEhw+CmebMS9vt44Q3sC8cYt/g/5Dq93N2niPuWzU8oq0zrP5jySIiQKfnj0sUJu7mnX28eW/cQua4crul4FWMX/70eofUZPL1uJuXRGh7odzkvbfiY2aVr8Huyebj3b8k3DU4dcC//XTSZ2mCAdJ+f0wrug1gYVfXRddSjbFv6LM27XczyLyYTrgvgSfPTe9DdbF80ndq9qyn49fto0oMSMdFfeg1ZWYOanYH7ql8i8vMRjS3qSYFWbaG/NBOrsgY9OwPtD7+iRivn889uIxgM4PP5OWX4Y2Rltz/mAxIx0yisiAYfMaTl14QSyHH5bneq2oLv0WV/YLOUciuAEOJt4FwgEYyQUtbUa+/jwMqnBHxCCA3wADGgJv5ZAzxCCB3wYi+uI6X8Kn6e73HJKRwKjqQl/x2YiF1K8QVwJ/BPYFn8XwqHgKpYhLGL30+qnxu7+H2qYoeno11jmokJ3e4nxPiF86mJr+RFTY0JBzFyT1iwjKh5ID5Va0peXruVW3o1Z/opHbilV3NeXruVWvPQgxGV33AdlWaKbCqFo4OgWZMIRIBNbvb04jEETXuOqjJlwlkGm2xq6tKNNPP5+KR4BzOGn8R7Z3RlxvCO7AxuImKlNOx/zqiutEswfOm2Q/JJaRm7w1F+6c+jmcvJyelpnJXflJXVdXxZVpl8sJS4li/DoYIpJK1isK95MwQKLocbcCKR5MvdGDKz0fN79SxMpRKBQKCB9LBLVQnu/YiAz40EsnRoV2urZOumzQm9d++KRvtL4fhBZbg2EYgAOLN190QgAiAQqmVXsDYRiLC3hbhv2RoKWv+apxePwXLnJIIBAIFwJaZUGLf4PwRCtfy2Y59EIGL/8eMXzkfiTBxzVuv+jF3yKl2yOzYYWyfMX0P/vLaJ6xm36CPS24wEoM6M8OKGjxnd9TyeK7oBUyoN/IWgYfJJ8Q4eHdKOd37RhUeHtOOT4h2E4y5EIFzJuCWvoksTo8Ye842aAHv/fgdW8Lit6D3qqLbqKA6VMXruKp5ZuTnhB97RtyWGFeONTVuZsnQlv+vYnUCojnuXLqA6phMIVfO7joOoiOiJQATYPua9i1ck2o9b9AWDmreL76ulMhahIhrhvuWfJtnvnlBtwhZXV5UyfbWtgPH+yF8ytmcPao0QFTEjEYiwjwtxz5LlXN7+d5zd6vREIMLeV819X/2L33cYkbCds1r3t/eFKxmz/HVK6wKsWPYUw3rdzgUjXmB4nwmoKFjBChAqPo+fju0uI03JYdAvnmfImS/Ro//tiUCEO92PonlQNA39pfeRcbJWWVmD/tL7UBds/I9eF2zQPlJdkghEAASDAT7/7DYikcrG+zhGEDONwq21+2ZeM/f1wvM/mdHmmrmvF26t3TczZhrfh8yoBVBc7/uu+LYkCCFuEEJsAR7EznoA+CsQBALATuBhKWWFlHI38HB8WwCollJ+/D2uMYXvgCOWGSGl/POR6uvnDMOyuKfnWTT3tsCUNgHkntBuDOvw1CdMaZHrcnNr9z6JdMfXNqzBjKtYGFLSp2kuvzmpPQoCC8kbGzZj1FPtMKRkTqCMOYGypL5v7tnuMK5D0rdpM37ToSuqUDClxRubVmMepjpICikcKkxpMLj1L+nX6gIsCYqAJcV/w5QmkUgEIZ08Pbg/igL/3lHM82u3EQhFyHA6eWPTVs5vdwI1ZgWf7FjOqJa9yVEOLyspheMLNfuDEWkCS0pm7tlLa4+bTmkH7KJfViaLK6t5bcceBuRk4VLtOL9aWopWUYHRIhPTgFYxyRrNgBhUZyrYMoomLc1KIrIzYC/f1F+H8cZasC+tFAAhFQRuyh1pBPUAgXRwSPCaEHHvw4rUYpmtQUJZyVe0bj3s6P+BUvjREKunVtU1qzntMpoxufep1OhRvtyzjfNP7EquO4PHBw5nbyjIc2tXsLqyglyXm9aZ3bit6F2EVHihaHR8+VBiSBOH0Li/35m4VTdO4eDW7v14bcMqVldWAPbLnoLgg+EPYEmBKiRXtx+JRDSqLKDVI5cMhGoxUenz688whcKQZl24Y8krAPztlMkN1BeEELyxaStvbErmLT+/3QkH+gxXYkoL/9XvgaKCZVKz6DW7ZCOF7wRDmmRoWQRCOwmEIoxfcKD065lhtqxwIBSmpS+Dd0dcjCpUHIrguaJLaebNpSqqJxFbdsnJ4rKT2tM+M533R15IeSSKtDT+cdqVLNm3lVZpmUgpuK3bYL4MbGWw/0TyPGlkOj3c3+90XJqDoB6jPBris12buPrkAZyQlo8qBFXRWOOqHY5MwGiUk6KJK5OH+l1JhsNHE3c657QcwJD8PjRxZZPh9tF72GOAxIOJZcVQFBVXmoqBhSnrsPKaoggVVZc4nZmYqpMTR03FlBJNqMQUBUMaBG/7DQYCp4A0I4ihWMRkFUowRAwLUxpoQiPd0wTFNBOBiP2wXGoiELEfwWAA8xhX2aiIBh8Zu/j9JgctrDZ5ftBvH8n3ZhYdzXNLKacD04UQlwKTgN9jZ1WYQHMgG/hSCPFfoBI7u+JEoAp4TwjxWynl60fzGlNIxpFU0zgL+CNwQrxfgU35kHGkzvFzQKbmJaRmcPtHMUqDkjyfYPKwFmRqhzepulSV67v2ZcqinYnUukkD+uJSbafAq2lc0K4to79clUinnFrYBa92wCQ0IRplCdYOI2XJpzm48MRujJm9t55mdDd8hysPkkIKhwi3lslJeWdz3dyZiVTPB/qfjU/LYGfQwb1fROs9W/Yq8qztgTjDtwdNCJq5MuwaZMWHw33kpfBS+OmgulKiKODxCVZW11IajXFxi/yk1E1FCM7Ka8pzO3YxK7CXC1vaWvDOjRuQioKueghJyLAERsQBCuhiC+AAIjQ1g5Qo7Sh2O4ioCk7LIi9q4LYkbr0NiJVILIQEpJuwcLPDoyIxcZvQtlylxqcS0XaiGq1RJZTv/frH+HOl8APCqSj4vZnkOn1c3/lUbpr7XwKhOob6W3Nd575URiXXf7Yx4QPcPaAfH+7YwC9OaMf1X6xIKlN7d8s6Lu90MroFb27YyEXtOzFpblli3p4woD8z1ixmdWUFQ/zNqY24uOeL+n5KHwTRRn0GIaBrVh6rq0rxe9PZUVfFbQs+iI/Np3NXt4v446p3AdlAfUFK+Q0KYweeP78nG00obJp5M7HaAM50P23PeBCc3h/kPhyPSFPTkVJp9H7WxOwX4SH+PKTp484vYpQGzbgdtMSSQTKczsR965KTxbVdOzF16QpyXC6u79aNKYt21yv7aMtTqxYzO7ATvzeN+wcM45Pi9RTmn8jL61dxUbuTGb94Tty2W3Flp15cV6/0d2pBEUP8fuYEAvWu00uNXg0YjSq6ZTi83Ll0ZqK86eoOZ3PnvH2UBKvI99UxYUAGb2/7jN+160G2EmPu2hcZcvIVeKTKF7PHHiiZOOURdM1FlRni+Xl3JEpDb+r3CBHyGT9/deI5e6DoZHYvvY9wpJyO/W7i2a8nJ9rf3O9hmjtbI7IzkgISStTE5/MnBSR8Pj/qMa6yYUjL31gQyJCW/3t0uxtoVe97S76dm/BtYEb886XAf6SUOrBXCDEP6Isd/98mpdwHIIR4HygCUsGIHxBCHqEVaiHEZuCXwCp5pDr9jujbt69cunTpj3kJ3xmldQaj44GI/cjzCR4d5SQv7dBjRyXBCH/duI9LWufhkgpRYfHWzlIu7NiUfJ+bkmCY6774usEkM2NYT/J9Np9DVSRESdg4qP6zC/kejSz3oU3yJcEYN3waoCR4IJiS79OYPsJPvu/YHky/BUclkvJTtttjCSWhGmbv3sqg5u2QUiKEIFt1QMRJZVBSFpW8tE5nbblFnk/w8CgXu4JVvLd5K1d27oDfoyH1StIcTdGOr0BEym6/A/47M0JFmcXg01w8t6WYz/eVc1fHdjiUhlWOr+7cze5IhGf7dMGjqmS8+jKmy80ScR6rNEGaAlvd1czOCNNc+wc7ldZIyjk3+g8+EvdgCo0MXVCnSSwBrcMxHBKKc16BuruRKMTUWgzHEs6OvUa+WY7PgPM2qJSke1jvvhGpF1CZfx4uZzq/unR2I7/oJ4cjbrc/NZuV0iIUqcS0YqiKE7crk6pYLYZlUBUzKItEePDrZQRCdXTNbspdfQYRCOrM3FzFr1vmkePQqNAN3tlVys29WnLD7K8azP239DwBp6Lw0FdruKV7d55aHmowb48bkIYuY7RNa8KYj/QGfsojo5yEzSiBUBS3qhIxTTKdCq9uWM1N3bpRHKwi2+nh4ZVzWF1pZ/sMzT+R0d2HxPkqsqj+f/bOPEyOqlzjv1NVXdVd3bNPZqZD9nVCQkISsickCALKIoKyKKAIsiurYAKCIgnLZVU2EfAqeL2gV0EWJSCE7AtJSEjIvi8zmczWPb3Wdu4fPdMznUwggURF+n2eeZKurjpVXfWd75z6zve9r2XncEY8NmkyLbbLtNay0rAZYMa4kVT4dbbFG0g6GUnTcj1AykthSxefUDFTCXTNj174Wd59PjU+9762NhHjwRWLObfPUGa8vyE7B7x91ECe+PAjGtNpHpt0PLfM3N8OHjpF58EVy/hm/z7MeH8F1w0bzBtbd/DVXj3oVVDA7pjFcx/VsLohU65QZepMHV3FtfPe4JiSLlzfbwz9gsWkcfECHjE3o+K2N5kABH/ctInTevamMhDAr/lIOi4lhsEfN67l9xs3EDZN7hp9HA9+dB9lRinf7/89bl3ycpYz4r5RZzNz52qGlvWkSDcp04u5cVb9fvb+wOQyok4TZbqBX3GwvTQ+xUATGkk3RdpJUegvJ+0p2J6HlBZvb3yaudtf5gdjf8PPlyb262f3HKOhiRaeWvNgtpQUoMwMc9uEZymKKNlSDfHP54w4bHZbm4jMv3zuC+P2DQI9PfHCBZ82M6KV72E9cCKZIMQS4FtSytUd9ukvpdzQ+v8zgDullMcJIW4FqqWUlwghgq3Hnk+GM+I5YBSQJENc+b6U8pcd2twKHCelzE0Tz+Ow4XASWO4AVv2rAxGfd7hS5Dh2gD1xiSsPzUf4BHynIszOZyzsJomvRPCdC8NYIuNsHSk7Tafct0yjSFd5fPIwPDIEI0LIQyqxcD1yHDxkPn+MEl4eeXwm6EJjWHk3rp6T0bt/8yvn4TX42PFCCrtJopcIpp1rMOMji48aPKSEbiE/Vx9TjZQ2P1v5MFcMOJ/gf1QcIo9Pi0iTly3RWNzYTP9gsNNABMAJ5aU8uXUHM2vrOaswgNrURHLoCJzdgqgh8BsuvZKFLA0laFAyxHqqbGCx+A6eUDkqKdAlFDqCHQFJna5xVNoh6ApalAYUNwz4QOrsVSroYTVQnCymIVBIcXIHPnM7nnsajgwh7RbS6QiG0TkXRR6fD0jp0dC8kddn30BLvIbe3SbTb+jV3LR0OjXJOiZXjOPGo3+YDURcNXg4UcumIhDguu4FNL/oEmny8JeoXHded6Dzsb9QNwCPmkSSIt2gNp6bLl4bdwibIX4w9y1+OnIye+K5fWBPXNKctki6Dv/1/s4O2Rg9aUylqE8luX/Fe9w58sTsMUOKKzm3b+4q9z1jxvHoxEmAwJMeqhD8adMqHpo4CkUogMT2HC6d9U72mPvGjifh2Vy24FZqknWEAxU8OPI2euoF5PHp4Hge79VspyGV5Lpjh1GoGzieS/eQnx8OG0CpP4CQSqfzVUcKZtfU0ZC2uG7YYAYUFxDs158Zi7dTm9hBlalz2+hePPXhLlY3xKlNWFQGQpzZoz+Xlg+n+X9gQ1MaX4mg+4U6j21fwKzWrIknJ53Kuf0G8scNW/lmvz5MW7AqZ7Hs3H792JXcQ9CX4vYhV9CYqmX+lmd5asK11CTrUYWgzAgyvrKau5ctpCYR45njv97pPDVqW1w293nCZhE/G34yr310N4VGKSdXX8WPls5gVOmxnNvrghzC2HtHXwGArhZQk2jMabMmkUIzeuATSk4gAjLcVq60obIr+nUXZibPqgKhIMWihK+c9rvPlZpGqRG86f7RZ/+1rVSjlYy/vtQI3vRp25RSOkKIa4E3ydQ4PielXC2EuItMAOGvwLVCiJPIqGQ0kSnRgIwKx2+EEKvJBF1+I6VcCSCE+BOwDHCA5cDTrdt/CNwCVAErhRBvSCkv+7TXn8eBcTit+RbgDSHEVCHEjW1/h7H9LwQUkUl57IjKoEARhxbjCVg+dr6QCUQA2E2SnS9YBKzMBLitBKMj9i3BsD24ava7fP3N1zjnzdf4+puvcdXsd7EOIZCgKpkIc0dUBTXUf28/msfnGGnpMXPHFh4ZfzIzv3o+RlpnxwvpnL7Q9FKaSwf5qAxm5MbO+vvrnPfW37hh/nzO6H46Ny2dTpMd+YQz5fGfDs+TtEQkwQLBpliCJtthcEHogPv3NAP0C5q8vLsOb9s2wMNVXZCCpAJKKI6GwtBEiAQmEoku/dQpAyhLe+itbt4nocQWJDSVpCIIOMW46l4UGUBIAQSIykoUAYWpo9hUVoHfhYCXmeBKL8PpFY1sPbI3KI8jCk96RBN1pJwEE0bcREXZMfTs87VsIALgvboF7EnVETZDXDxwCHcvm09TOkkVBs0vujl+r/lFlwJb63Tsj1ppUo5L2AwQsdKdj9tCcFx5BbbndDpP8Wsqd7WqLgDUJizuWrSNSwcdQ9ROUaabJB2Pn4w4mfvHnMbVg8czfenSHOLB59auwfM0GlIO21piGWlmvU3NSOITCm9s3ZZzzK0L5+NJPXtPapJ13LR0OlHvAESBeXwiVCUjo7mqaS+3LHqbK+e8zvTlc4k5aR79cDbbY02oB5ivqkLyqynjuWhgP55ft5G0Q2sgot0upi/eykXVmXK2KlNHVxRu6DeG5hfJsdkdL1jcOmA8Q0q6UJOIYbkeM95fyVd7dWfG++v3I0uVqFQFSjHUIEG9iiKjF2O6fxNDUeniL6Pc6IIrRTYQAdCYTnRq703pNiLNCHcun8nJ/a9gbM+v8aOlM6hJ1vHdfhfuRxj748VvclK/y7Hclk77mZNuxE5HKDNzM3bKzDCKJ3ESe7FowdFtKDCzqhtCgiIz/34eoKvagj4FXc58euKFC/7y5au2Pj3xwgV9Crqc+RnVNJBSviGlHCCl7CulnN667Y7WQARSyuuklIOllMdKKU9oy5qQUsaklN9s/e5oKeV/dWjzTilltZRyiJTyIillunX7L6SU3aSUmpSyaz4QceRwOF8JpwMJwA8UdPjL4xCgKTZ3TNGzDr4yKLhjio6m2IfUjvDaHXob7CaJaA0k6IrknvGDs86yLaqsK+3HuNLrlBSojQTzoH6PcJk+oSLr6DOcERVoIq+mkceRgYbgy937s6kpyp4ENMbdTvtCuSG4c4pBY7o5u72N9KomWYct8zb6RUcsKvG8DHnl4sYIClBd8PGEpl8qLyViO/yjdi9S3YNv1WwAbMXlLW0bm40k/eMhAnY1wq3A8iYS8vZiumpOO0U2KFLS5FMJ2JVIpRaBhkBFkSZ71XIAomaAlC9A3BeiwNkNgOJ2RQKRfDDicwtPetRFNvKbdy/lmXe/x2srHmT0sdfgD3TJvnQDDCkaSJHP5L4xUygx/NQkYvxu/UpUT3Tq9xJpl2nHVeeM/dOOG8Dr2zZTZPi4Y9Qw3ti2laljSnPG7aljynjkg3Wc07eayqCPmycqOfOUWyYqJN1U9oWzDbUJix6hQubs3sxVgyfxwLL1XDBzNo9+sImQz6TMaH9hG1JSynl9h3Lze/X84O0mfrnUpTmtckbPgdw4dwnnvfke18xeyJd79OKMHr2yx9UkEsh9skfzPvyzwVRU7hszhbCZCb62cTm8u3MDVw0ex8tbNhKxLG6e4Muxg59O0XloxXKumDWfR1es5soh1die7NQuCnUtKxX68AcbqI9bndpsMu1w1eCRDCnpQszOEGOW+/2dZ/d6koc/fIeYJbhqzttcPGsWty1dTV3K5pcfLuTst35PXSqeDUQA/G79MqaOKc6dp06s4Lcb3u3QdgRTL8H0FVOTrGNI0UBUoWUDEe37taAoBmWGwb3jB+X0s/vGD6Jmwx9Yv/K3XHnsz7IBiTbOCD0VY92fLmPVf5/O2pe+Q7J+I57nEG3cyOxXv8NbL53O7Fe/Q7RxI/IQ5uH/KuiqtqDKLBrfLVjSu8osGv9ZAxF5/OficJZpdJVSDjmM7X0h4UjJs2uXc/mYPhTpBhErxbNrV3PjsYMPqR2pgK8kdzLiKxHI1vBTWnqsqN+RU4Ixp2YLxx/VzlCtCmU/MqmwaaIeQnqYIyXPrV3ND0b0av09aZ5bu+qQf08eeRwsXCmYtmApTx4/iWveqeH2Y7rg76QvlAQFca+Z7777j+z2NtKrcKACn1A7az6PLxDaZT0Vlu6I0tMMYKofbxe9zQC9AgFespL4y8O8VTGec3ZDsxanDodoQYyeaT9Tmnrx95ItIFRaVJNkME44GcDwMu0rQIEtiPgU3HRXdGU9AEKqIP1EtBIUz4cQmcnuXrOMImsHtQpoTldsAyLNm47czcnjiCKRbuJ/595Ac2s6d3OihpeX/IxvHv844UBFNiDx3X4XsCfZQq+CEH5Py65mu4rX6RxgZyrJU5s2c92x/SgxdLr4dSJWktN69uKhFcspNfxcO3QYCdvm8S+FqUtaNKYtnvxwHaubomyIxHh40jE8tup9Lh8ziCLdIOlYoHjsSWZKMzq+eFaZOoqASV37MOP9VfvJif9o+BBumJ8J2F008BjuWdSUTZmvjTtMnbOHm0aFco6btmApD00cxavbtwIZv63sQ6yd9+GfDQnPYeaOtTw8/kR8ioorPZ5ft5RJXftw97IF3HDMBKbO3UuZoXLF6FIK9Qx3Q8KLM7smwwdSk0gy4/0VPDF5Qqd2URbQeHhyP55YuYnZNfWc3607gRJ9P5utsxJMX/E+1w8dSsROEzYDBH1ap+SaihCc1mMYty6alQ041CRi/HjRLG4YOpL3arfSlE4SNkPZ71c17eXFzUv55ZfGU5tMkHLSpLwGVjXv7tB2EQmrCYRFOFDBd/t9C0d6hM2CnIBE2CzAJ1SkYxFgF08eX42HD82zMN1Guh53PVIIFEVj2oRf40kP4VjoyThb/j4VqyXT362WGja9diP9vvkMi96+kWQssz0Zq2HR2zdy/Bm/xW+WHe7Hnkce/xIczsyIN4QQJx/G9r6QcKWkuriQ/sVBygMa/YuDVBcXHrIUZsznUnGBjq8kM0D7SgQVF+jEfJmVAgUYWRHG8hxc6WJ5DiMrwigd+GsMFe4dO56wmSGrDJsm944dj3EI47srJYU+nZ4FIcr8Bj0LQhT69Ly0Zx5HDBnZ2nJ8iuCxL3Wla4VGj4uMnL7Q/UIDxW8hhZdj37eNPIZXd7zGgyNvo8SXr7X/oiPSOikWfo9tiSR9zMAnHiOEYLIuqNcDPNh7PLrM2NGXmlYRlgYx1WVHqJ7u6VImR/rSz3uHMxL/gwR2mQnSSvtqboELCEFMHEWh+CjTfqu8p4WJ6pUhEKRFmreOauAvvRJ4ShM+J4wEmhrWHu5bksc/CY5rZQMRbWhO1KA6KR4ceRvhQAUAJUYxfs1AAJF0il9OOJmHx3+ZZjVFtwv1ffyezks7d7C6McobW2op9/vxpEJT2uX5dWsZVlrODcOGoysKJXoIR0Jj2uL5tVtY3crwX5NIoasKF1X3p0BXabbj/GPndirMIH0Li/nllAFM6pqx+TbOiKSbotCXq4iRaSvJUaFg1geXGoFOa/dLDYN7x47hyeOP596xYyg1jOyiSMZvj0TgZe9JG2dEoZIn/vm0cD2PFzat4Pfrl+N5Ghoml1ZP5OjiCm4YOopyf5DauMPqxjRT59ZwzTs7uHn2brwOGSqDS4q5buhQpFR48kvV/Pn0Y/jDqcfw+JRq7h7fi58tXkpjOpWVj39i4yaKz1NybLbHRQbdK0I8NmkKg4rL6FtQwD3jRmK5LtOOG7Bfho8QHlWBopzMhyElXbjhmNH0Lijj/jGnMWf3Zm4fMS4n6+OCfoOI2FF+tuw1ygIaASWjwpH5PsMZsar2bYK+cp4Y8wC9Q714fsN87h19KmGzoHW/jDqMJiR2sp6li+/nrT+fSMirR4tvIdm8lR1v/gRa6qhb+DSBdIqQIzE9UDU9G4hog9VSg+c52UBEG5KxGjzv31vaM488DgWHU02jBQgCVuvfv0za8/PGlN0RzakUBuCL6wgXpAp20CINFB8Cs39j0iKS9ohHJQWKSovnEiwUFBkKpQGdxlQC6ULIEiiuxFMFMV0iVChtVcqoTTQTUAxSjo7jgaaAX7NIemmqzOKDvI4UdUm4be6edmnPiZVUBKA08LmdKHzumbIPFdKTEIsjpQRPgpQITcUz/cTS9YAgLfzYnkRXVVxPb+VfkhSrLo4TRdUKibjgSlCFQFNcVOEj7WZIUVUhi32XMwAAIABJREFU8CsC4fgQnsTvKghP4ioQ1V08AapwAIGUPhwvw6USUB2MpA/FBVSBpXl4QiCRNMQ96tMOSxoSXNS7BM0DVEgbNmlPoiuQ9jw86aEIQZGqoSUlorVPxA2BT4GY5+B6HqqiUKBoxFyJIyWaEPgUD9uTCGngysw1+bU0SS+N1/q7dOkAHqYaIuklcTwLXTVJSpFtpxiJgsQXOGLkVF84u/2smPePNJvXOZROtLh7zSYu69GNfqGPVxKKOw7PrFtGLSGCEs6Nd6fHnmK6pp7hlkHHERVVdGMVZfEhHBerwtY2Inz/xz/0r7HTbEEA3eNBVAQS2BEATXp0NW5ld+IlXJHG0hpwtVVcGX2HsB1kTehDYloLZSmPqr2/Qog4TV1upEQv4+zz3/qn3KsjiP9oNQ3bsWlMt2T9QKlRgE/zEUs18MzbF+cEJIrNMJec8CymXgYtKriACgm/RVK67E4kAUHKselRECRle6RaPCr0AKZfI+HzcCS40sbzVJpaJEFVxUVSWqjieJl6/4Tr8KsVTXyldwElfpWupkogpaB5ClKVxA2b+5btYM7uCJO6FvG9wV2ZOm8TtQmLSV2LuW54D5AgBEhpo6sZP3f1ewv3k+h8cMJxCJGRI1fQ91PfmnSUyQ+HlRCyPXQpsYSgSRMEdEi6Np70eHXrKr7dfziWtHE9iaoIihUd3BiBYMU/8Wlm8bn3tTWJKC2pFH61kESTRYECLR6YxTpFfkHSVahLONiuh4dAUwQpx6NPkYYQHhoa2ArNSZekdKlQVUoUDTyQGqR0j0bXRlM0GlMOKddBES5Bn0aF1AkIlU2xKI9sWE1DOs2do46lSPfhUwSPfriCq4cM5ckP1/HVXt0p1HWilsUbW3dw9TEDkXi8unUDQ8vClPtNCnSdxz78gNk1uzMkqWPHI3AxfTr1yThJ16EqECLo85FybfyqhuLGcBQ/ruchhMRUNerSKZ5ZO4/z+ozmKLMLlueRdFKEdBVPSoQAv6LhSgVPgk9I1HQtur+IlFBwPIELaEKhQNrYsVoEAoJlpITAkS6q5+JLx7BjtcRWv8ZRk3/EnDe+nw1IFHcZwoDh3ydU1AtN0TECZSifkK13CDgidptHHp+Ew1amIaXM80McBvgRaLUaLU+k8BokSpmg4GoDUeV88sEdYHmCpbUpTq4qQEhBiVCZWdvCxO6ZemcfCv5GC/fpZTiNSURpgMLLR5Dq0i63Waz42RH38dNZ6ayW+E+nGHQPHry/sjyF2+bW5KRd3jZ3D4+f+C+R28rjU0B6Elm7F/tvc9EmjcR58W8Z2akTRtE4oYpZq3/NkOofcPuyNynTTa4d/GWmL6zNBp9mTKygq99kW9Jh6vyPsszX944fjE9xuGnuh9QkUlzYvzvndu3NyoUWY6t14s+09wHlch8P767n8qElJGzBjNkZ+dsJ3RSm9dVJPJ7O7mtcbpD0SwIBBTMF0ZWCr4woYsaHdVwxrIyb36th6pgyXtqwhUuO7slbOzYzLlyBX3EpTxbiPr0c2donlEuG0Vhm8Mq2NbywcTUX9hvMyd0H5sjdPjhxKPG0xr1z7Gw/uXOKn2VNy3jgo5cJB0r42bFnM2fTs3yt+vu8svZpQnoJ43tfuo/c2Fkoa//EUQO+QrD0iMh25XGIaFPSWBONoQDdzY8PoLpS8vyuTewVgkt3LuOZbqOpsfz0AIpljKjiQ5Eeu4TG9oIm9uobOKW5GiV5K8fYERQp2BKKUO9PUZkKIICgA80+AW4fpLIHxStDSB3QqFWq8OmbiPoidE304cvbmlhQvJtQahC2AvF0I65ro6q+f8LdyuNQYTs2m2J7uWXxX2hnnP86fUNdMI0Szp/4cLZUo9gMc/7Ehwnq5Xi7BfHH2/1j8BqDeInHzxe3SzDOGDeY36xZz6SqKnoWFeK5Ar8taBI2pqaTaoH1M21iUZtQoWD0yRoPrrBoTEmmTdK56Ohi7phfx6guAa7vWkby8TSpDue7ckg3GtMOp/UuzwYiBpcGObd/mB++kxnzJx1l8oPhFdgueLg8NGE0N85bnCPRWeDz8YeNq5kY7sPGxiZmTKxkWofFi1tGlhFqTOK1+mW9NED48uFESg2++dafCZsh7hszhaid5voFr2VVDe4bcwq9/Plp6adFiaKjGgb6niQVv/kA2ZikrDSA/b1jaSzxc+Ps3ZT5Va4cVsa9i+qyz+vREyqxXYGZVnjv9TSBgODECT58EUHLc+02G7jSoLDIxyMrbObt9KgMqtwxOcCfNuzg/boW7pnQl5TfRZLJoPnZkg/40fAhdA2azK7ZTWMqxZVDhjHj/ZVZe5p23FAeX7WSS6oHcUr3an48v11p447RR3NevwEoQtCUsjB9koRr8djqDI3BNYPHcePCdvu5d/QpPLvuHd6rXU/YLOLeUWfx1s41XDJgEilH55p3N7Qrxoztxuza5ZzRYyg7Eg53L9nY3g/H9qfAc6hNRblr2d9z+rlbv4ou3UZTk9rDbSseySrB3D30h6zZ9SpTxl+OWDmL0ePvYPH8uzACZVSP+gHz5t3ZLvM55UGKSvofzoBEHnn803HYZrsigwuFED9p/dxdCDH6cLX/RYEW99HyRObFCsBrkLQ8kUaLH9pk0lAkJxYVsPyFNPOfSLL8hTQnFhVgtD5xPQnu08uQjZlVCtmYxH16GXqHLMqI0x6IgIxk009npYk4B38teWnP/wDE4tjP/hlt9JBsIAIgNaEvL86/mUF9vsnty+ZQk2jh4gFjmb6wOSf4NG1uHXEZyAYiIJPq++P5q6lNpLPbvtGzB7NeSzNkgA/7mdw+oD5tc/5RRdTGJTNmu1mb/EYPXzYQ0bZv+uk0WhzmPZVk3WsWw4bqbF7mcHbPIlSRuaZ7FjXw1V5HMW3Bas7o3ZfpS5cxQC3PBiIg0yf8v1lBojnFGb0GAXBGr+psIKLtd+yJu9w7x8vpJz+bZTG5amxmn2QTd37wZ8b2OJvHFt/MxB5ncFL/y7KBiEw7EW5d8jKho7/Jh3+/ETvZdAQfaB4Hi0hTRkljTUuMrn4/xgEkPdvwXkMtW5IxbtqylK/X19ATgecYeEiWdalGYmB4Lq6owBMR9oTeJVr2bdLqB1Q5hYyL9aIyFaTF55BqLdcIOWRKNdxRqMo2hDQAH0L6+EgvZltgM6ZTQKlVgaMU4pe70Z1KbFQkkljLjiN/o/L4VGhMt2QDEZDxA7cs/guN6RYUoVBR1I/LTvod15/2Oped9DsqivohWxTi+/i8+ONpymwjxy9NW7CaSwYNYFKwK8ueT7Pgycw8oDDhI5bwWPB3m1g000YsKlk8M813BvvYE5fMmGMRTWd85ZV9S0nuc77k42nKHB8XVVdRqGtZLoCLBoW5Z3E9tXGHwaUG5/Yv55aZaS7+S4pbZzrYToCfjxnOE5PHcN2wap5bs4qk63JGr2p+vng9o6q68JtVTfxweBmPndiVHw4vw7TcbCACMn7Ze3o5ha1Z6jWJGLcumsXuRCxH1eDWRW/SlE9l/9RodiVmysXfGoiAzL33PfcByWaL2rjDtwcVM701EAFtczuFSEzy3utpYlHJqOE+tGaIPbePDT2VRrbAGX0y88k9ccld71lcXN2DMr+PqfM2YbkKVw4ZxOCSYmoSSfyahmjlBlnV1MhTq1Zw3bBqXjplCtcNq+apVSuYXbOb5rSdDURApj/ctXgdlgtXv7eI/1q+GkMN8IcNK7h4wAguHjCCu5b9Yz9VjNN6DG39HOHHS17mjJ4jaE5L7l60I1cxZuFOzusznppkMhuIaDvvtIUbcKSRDUS0tXfL4r9Q2utk6pLtgQjIEK/evvIXDOr9NV6cfzPp8kqMVx9n4rCbGDn559lABEA8XsO7s24inWw4gpaQRx5HHodz6e0JYBzwrdbPMTK6rnkcAoRL1mG3wWuQHKr4hM/SWPl/aVKRTFupiGTl/6XxWa3kaK6XHWDaIBuTKB2iBK4UnWpIu/LgMyPy0p7/AXDdTCaEGcgGIgBcLVPDbOil2UG8UDcPGHzqjPnar7VH83UUYlFJwBCd9oEyn0ZAU3NsstTX+b4+LWOjqYjko9fSDBzko9zQcGX7NRXpPmoSKRShUJNIoLiy0z5RqCiora5SQdnvdwRUrdN+4sl2I69JNmHqxTQkagjqRQh82YlJ+/2I4Ck+Ui01eG5+Ev2vhm1JknGJPyjY0JKg18fwRbjSYW5kPm/V72YwglMbtlJf2JVBBDE9QVLx+HtZd5B+UoqLxEIqdRSwF4UkjVotm/V6Ap6PKc190FyFBiPdKv0JqieJyz4UKGtQMBBSAQy2GEU4wuWoRB8Egr1mkIp0DQINz6vAI6+o8e8MR8pO/YDTWj6rCIWQv4ziYJiQvwxFKHCAOYLi7aMmkUjRTQ2x4k/7zwMqfL5sIKINsaikWM+0sScuCbT6ZoPOfawuBYW6RtRyqDIzGZWFui/r/y88upQH59v7BWlDmslVs9/l1oXzmF2zG1NVCagaj0wahk9RmLMrwbS5e7j2H7uZNnfPAf2y4nr88aRv8uJJ53BceZiAmjvPqEm05Bc9PgMcKVG9zu99QeuwXWio+433QkBQVbP2FTAE4gBjetCvZG0OMjYSScPF1d2oTVj4VZUZ76/noup+hM0AKcehY2n5qqZGHlm5nM3RZm5dOI9VTY0A+DXfAeYbWuv/MySop/U8mkLdoFA3OlXFKNIDHT5HUIVCQPN1qgxiuy4BVe/0vAJtv35eZgQBlcJgf246+hqGFA1sPyZZh6EX05yowQsWIXesgt/ejIzuzQYi2hCP1+B6h6a293mGEOJUIcQ6IcRGIcSPP2a/c4QQUghxXOvnMiHEu0KImBDisQ77FQghPujwVy+EeKT1u55CiH8IIVYKIWYJIbod+V/4xcThfCUcI6W8BkgBSCmbAP3jD8ljX0gVlLLcSYVSJpCHmoHlkZ2AtCEVkdA6OHuqgijNnVyL0gBehyiBIuhUQ1o5hKoyXfGYMbEyRzJpxsRKdCU/S/jcQFURJYXIRBJR0k4BozqZGua01ZglcIpanet1qwqdam6nnPYom4VHqFCQTMtO+0CD7ZB03BybbLQ739dKt9t+KiIJBATFAZX/XdOUvaaIZRM2/XgyQ2LpqaLTPhH1PNzWjuPh7fc7kq5zgH7SbuPhQAkJq5kyM0zciiCxs+RY7fejCMWz8ReEUdS86/xXI9KceX4tPgtbSnodoETDlQ5P7pnOK3XrcXHwW68gpWR7WS/q3AJMT5JSHT7QFAQaxXYMqdaCcCjyIhgS4qKCmJpmu95EkRdgdPQokppLQnURQMAVJJRidGUrAIrUENKPTRC/1Qe/l+GxqDODVCVa5T2dMK6ASHTrkb5VeXxKaEJ06gc00fkg60l5wDmCp+SO92HTD57odB4gJYQKc9sIFQqarcy+lUFBstU3pzmAjxWSqOXw+pZ6ZkzoS5WpY3te1v8X6p0HadUOChc3HjOU+rTDVbM+4Lw3F+FIb7/xwxKd+2VXFZz35mJunLOKb/Q5BlPLzdgMmwX5RY/PAENR8FQ6vfctrcN2NO3u97ykhLjrZu0rmZbIA4zpqGRtDjJ215ySlPl1qkydqGVTk0hRYhjcOepYwmYAVZBDOn3P2HG8vm1LTtspx+50vhG12oMINYkkJbpJ1EqTdJzsHKZ9/wIiVkd+kyJ8ikLSsbPBtzZUmToCm6RrdXpeiZPTz4eUdOWao0/ginm/55x//JqHP1zMNdVXZwMS4UAFaauZYjOMEm8PYijpJMFgbolzMBhGVb4YZXhCCJXMIvdXgKOBC4QQR3eyXwFwHbCow+YU8BPg5o77SilbpJTHtv0B24A/t379APA7KeVQ4C7gnsP8k/JoxeF01XaroUgAIUQXsq++eRws7KBHwdVG1nG3cUbYwUO8lQr4i3Kdv79IZJ+4FQD18hHZgUaUBlAvH4HVYdzxKR4/mmDkaEj/aIKB7xACCZYn2RGN8OsTuvHKab349Qnd2BGNYHl5NY3PDUJBfJeejbN4Fdp5X8kGJPzzNnHe+AdYs/mP3D1iEmGzgN+tX8htY4v3CT5VEBRJ7hl/dA7z9b3jB1NlGtltf9q2nSmnG6xab+O7LLcPuJf7+N9dEaqCgmnHq1mb/NN2m9C1ufv6LzNYv6h9pcBfJPAHBcsaY7y2JUZVUGPqmDLe2LqLGeMG8+qWTdw2cgTr3XrUy4fn9InUJcMwi/28unUNAK9uXcs94wfn/I7KoMqPJyk5/eTOKTrv1S7M7NPKGbFw+5+5dvQDzN3+Km9veIb7Rp2Vw9Z936iziH30R4459SF8gZIj8STzOAREW5U09oo0AEcdgED4neirbE7Wo7hDCGq1LCys489hh7qCMrY5IQo9D1MIgmTaqU6syaTA4VDiNRNwIUEpABE1SURJUp2oIOBoNBmZY0wXPKHgSQMAgQbSADReNUewNGBSozdR649hupnVQdXpigtEmjYeoTuUx2dFqVHAo2PP5ZGxF/OrCZfzyNiLeXTsuZQanXMdNKUTvNywiuA1uT4veI1Bgy+d45fuGjsIochO5wGWlIw62ci+MGY4Iwx+u9qmMiiYdrxGZVBQFdR4alMjgX3OF7jGIG44hIMaX+1TyNs7tvHLE/rTq8Bg+oRKHp3UlSpD5f4TDAaVtU8zK4MCT3qt12hy/FE9c8reXli7lekTchcvoj6Bts9cRbt8BH/YXQu0l6QU6aFcVYMxp1Cg5OvoPy0k8N/ba1D2GRPVy0dQWmbywPFdmb8rwW1jKrLPa9JRJiFFpUeRjymnZexryXIbyiH0vX1s6HIDR5e8ujkzVlcGBXdMNpi50aZAV5k2uifPr92WGWMDfroGTQp9Goaq8OTxJ/B/p3yFX0ycxPzaNXx7wADCpsmQklIeHn883UIFPHr8UI4PZ6Qvw6af20cN5Pm17b4wbAYo85tUBkIYisqdI0/MsZ97R5/K69tXtn4u4vbhX+GNHQupMnVuH9M9G5CoMnXum9CbgNdMhQ63j+qX0w/vG380mpLmjhGnZsf7ywZO5K7lr+WUbdy9fCbf7fetds6ILa9w/vgHMBa/lrn3xWGMom5MmfJQNiDRxhlhBP49JT4t1x1Xm2iZvzMW2VKbaJlvue64z9jkaGCjlHKzlNIC/hf4Wif7/Ry4j9bFcQApZVxKObfjtn0hhBgAVABzWjcdDbzT+v93D3CuPA4DDqeaxreB84ARwG+BbwA/kVK+dFhOcAj4d2LKPlREUg6qC/6UklXTSPk9XBWK/AfPN9qUtCCisrI1RdNfJBj6DQOKXEoCOvWJJK4nKbQEmidxFEFUz7BQl7emI++Jx4mmNRoTKn5NkHIkpaZLoeFQGQwe1HU0JFIk4hovzrRojkmKQ4LzTtYxgw5ln0AG92+Mzz1T9qGiXU0D8LzDoqbhU1yUA6lpSInf+WQ1jQKfJJkAqxFCusAIgINk2YtW1u6HnWPgmRJPk1hStmb2ZJZ2NCGxpYciMrkPhYqB71OoaTiehA5qGgEtTSKvpvG5xvKFFssX2uwctpd36xu5c2DfbL1yGyJ2C/fuvAefOxHLKcPW3wZhI6THuPQ3+Cg1nKtrHaTq8GC31QjvKPzKUlo0iSTCV52n6R9XWGw/n20z4PkYmK5khbmbRSU7OSpu4pMq20wo85aTsr+BrSSxfLvw1C342U1CS2DQTE/mM24v9Kt7g10lL5AsfIbeob6cdtYf/9m373DiP1ZNw3EdNkVsps2tyyH87VvkQ9un7MCTkl3xCDO3b+Qb3Y4lYCsID6QCSZ9HTCQRQkEi0IQg4bi8vqWWb1f2zpZs+osEQ88xeG6zzdZmyXcG++hfoiAUiaVILE+wKx7jqdUfAnDF4MFUmSZp26FKGuiyXU3DFR41iRSlho4H/HXzNs7t159oVPDKO3Z2vD/zBINfLs8QY945xcDUk9SlEiRdl56hIr7xt0U5v/P0nmEuG9wH18tkZxqqRyylkWq2CKmSmCvwF+v8bsNGXtvWnrL+p6+MQRFpPJk5TsHGEIISs8sRf46d4HPva+viSRojgqUrJRP7SooMiT+o8vxmeHGNmyU0L/K72BJUAW5S5Q9vpmmOSQb1VDhtrEGLJVEUSRdFIBwBLiSTHqIA/lHnUF6gUewXFBmCN9ZbjOrmIxyS3L5oBY1pi9tHDcDUBB6S/177Eef2G8D0pUuoSSSycvOlhg+BQkPazSGXnjFuMODQYlsEfTq3L1yeJbu8d9xIgj7BNfNeoSbRwuSqXlw7ZDxRO0l9Ksbc2vV8Z8B4pJTUJht5cu0brGrexpDintw/8ru40pdREZE2fi/KsvcfZODR38JX2AcHP56EWGIXs1dOp0fZsYyovjirpoGEr7/91H73/C8nXYmuOBiAqqiYviJEIoJ0LYSqQ7AEKSXpZAOuZ6Mqvn9bNQ3Ldcdtbmn4662L/l7eTip7an2fgrIzdVVd8KkuTohvAKdKKS9r/XwRmaz8azvsMwK4TUp5jhBiFnCzlPL9Dt9/Fziu4zEdvrsDKJRS3tz6+X+ARVLKR4UQZwP/B5RLKfMkHYcZh1NN4/dCiKXAiWQM+iwp5ZrD1f4XBa6t8Ou/pmiOtQeJikOC753ph0N4d097MLe5hZMvzKhpSCEzahoFmfQ2R8JV763IqW8Lm36enHJs9rPE5em1yzm9x0AMxU+KFE+vXcdNw4Ye9HUIz8eLM9PZ39Mck7w40+J7XzMO/sfk8S+HUAQUhvYbqVSgSKs6iBYywasDV90fGD7AT9tgm5se2dji8bu/5faXy8406HG6jqEJ4mnJ/y6wiCUl3/uaTtfQQaQzduhnbVa67zpl6CCuuugAe/k7tFbU6R55/Dsg0uQRMGFLMkmVYewXiGi04zyy/W0cdwyuV4FUavhqLEz1npU82M9ghRPExMZwFep1C4mOkJKYGgcCCJFGlx54uTLJScUmpqTpnyzn/aJdNOsW4VQA3YMEfdGVnbiyHCENJIKUCFLFXOrlUHbJKSzp8iZ96uvRnQqaVGhp2flPvGt5HArqU042EAHthL+Pn1i5X/p7UzrO9lgjX+s+nF//Nb3fHOG7Z5pcOu/3PDnxLOKu5Ka5GcLgiOVw+bf64hcqlpQ8t8bmb5sywdiHl1rc+2UVWyZ5cuVSTusxgEdXrM/Kb/5w7jyOD1dy/bDBbE610GSleX7tRlY3NRM2Azx+/FiEEDz8wSq+2qsHPk/llXdyx/u/vpvmttMN1kfTPLe6jiuGFXHV7FkA/OWUMwib/px5yNK9TVyGixQOHoKU42fqO1aHkg9JZdBi+ol9s8GIsOlHEZIz3v12tp1woIJnxt13+B7WFwya9PHau5lFpDXbMtuKQx6TJuq8uMbNEppfMRoeXb6XX5/QjefebH/2a7Z51DSkmDRRxxbw9EaLs3r7KNYFzQKWbHU4o9pHNA1+DRK2x+BKjZfXWFw6UuVnYwbh4VGXjBN34O6lS7h+6LHZQARATSLBjxfO55EJ4zFUYz9y6WkLVnPdsd25ZdHbDCnpws0jhtMrVITAY1XtG/QvGsivJp6O5XnsiEf56dJXWNWcKXMLm0VMrOrPw6ve5oZjJrOqOXMTGtJRGhs/ZMk7PyQYDDNuzFS0wp4M7XcOQiq4e1ag6iYvfvDzrCzvrsYPWbPrbS4Z/0sUVWNnvI6wWZTDIxE2iwgIjTKzNPdBFJTlzLsEEAj9S+RqDwmN6cSDbYEIaCOV/Xv5ryZ9/cEqs2D8kTinyKziPAR891M2cT5wUYfPNwOPtQYwZgO7aFvJyuOw4rAFI4QQz0spLwLWdrItj4OE50EoAN8cpVKgQ4sFf1vlcahVDZpwOKbCzyWzd3ZYcalEEw6g40hJqaFz/bBBFPl0IrbF79ZuyhJnAZjC4nuDqpm6cGE2Cn3P2LGY4uDJ9TyPnEkTZD57+QKePD4jUqkUIVvhexOUbD/ZuVcipeDZN/fPxJPeEVmsyuM/FJEmiRkSbEskGVaYG46SUvI/tUtIeTaaaJudePRplpy52+S57jo4A0jps1C9yTRqSYT0Y2BjCz/goRJBAWy5/8ptvRqjl11Gv3gZ60L1WMIj4CpEtQJMsQvHqwSpAwJJiD10Y2giyYpgAXGnmha9Dr9diS0g7aVJpyMYRj709e8G1xMHIPzd31dZnssza2fzX8Mv7nRMRQpuHHISCgqayLyMDS4pZGLXKnbZNrZM0cUfYFltZvBtKyerS+1lXu0Orjp6BM2Wy6MTx7MzHufZj9bSmE7zrQF9SLkOTSmHIt3kooED2Rxp5oRuXfGkiibgh0OP5gdzFvH0hMmdzl+aki5T52ZezK4+tv1l6+/bN3PP+ME5q9n3jB9MzEkQtVNErTT9Qj065Z7QWpVt2kr+ltTN54GRd1PoKyJqR/jvjc/jyvx7w6eF9ESndla0D+FkG2mpJ/ef64UCMDTkIVxJcQ/B0x9ZfNSByHJiLxUB1MYEfk3gUyTfGiZIe0l8wA3z51CTSPC7L32Z64cOp3dhIdcPHc7z69ZkySprEgkUoeJJKDV0rhs2kCLdR8SyeX7tFvoUlnD/mBN5ffsGQqrNc+9fzebmTObPvSe9jGI1EtJDlBkGZf4g948+h1LDpIu/gL2pBD8dcRbl/iBDinvSkI4yY9jZbF5yP5AhjwwWdke4FsKxUbUASIGrB7OBiOy9S9TgpaKEfMVUBsuZPvxkbls+Myv1+cDQMyh2/nNIThzPC3dGCupIL3yAQw4Gu4DuHT53a93WhgJgCDCrdfGgCvirEOLMjtkRnUEIMQzQpJRL27ZJKXcDZ7d+HwLOkVI2f4brz+MAOGzBCGBwxw9CCA0YeRjb/0LAp0ouHCZRn12HbLAIlOlceGk/XOXQohGKItBVj5uOKyGgqSQdF131UFrZJw1F4dohQ3hgXibCXRnUuXnCEIwO55HSZvu2F/nFhAtA6CAt1mx+ga4TMDhdAAAgAElEQVT9zzuE68is2uy7ivMJCnl55PGxSKVSqHUezlPr8Lf2k29f0o/ffyiwHNmpzQnFA/I1xHl8MqSURJs9isOQtDzC/txMrjXxWralGvGUFQj7DBB7MIXCi2VBzthmUJI8kwYRR1OWIpjCHl8cVQZwlZ0IVCRpguxBAdLe/plFETWFa3v0SZWwLlRPRLcIOH4iPoHwgkAAIX0IKUCoCK+QNcEYVZZBjdafiF5HZWIgtgBPQDS6nS5djvnn3Lw8DhqqIqkKajkBiQzh7/7jva6oNFhxhNK5f9vU5PH0+8X8dIpOUcDm+HA55/Xtz0PzvdYxXuWnUwR3nuAR0Ax2xCPcu/JdGtJJHhr3JeK2ys8XZiQLq0ydGROGY7kpSv0GSUfjl8uaqI1HWxc2uvPkyp3M2d1Mlalzz4S+PHvCeFSPTucvW1qDAlVBDdmBSuyv27ZwVu8+PD55GB4ZSishXB5auZD3arcSNgv41YRvUxnMVfaqDApUBZ6YMoyU46ArMLx8FD+Y9zY1iRhhM8RPRl6PoXxuS0H/5TiQnUX2IZyMWpnFLiFy53rdugguHCbhwTV4DRZ9y3R+9r1+3LlO8FGDpDIoSLkOqtD4xSKr1UYzAbKAZjNzxyZ+NHw4fQqKiVoOj65Ymy2xmHbcMJ5atYJVTY2ETRMhJAiXa46pZvqi+uwC3G1jqqlLJnl0xXruHTcSU4tnCxHKzDBWqpmUtPjVkusYVD6Gy6q/zy2L/0yZHuTawV/mrqULsvZ0/5hvY9h7+GjJ/TTUZ4IZwWAYFQXXtVm38EFSLTX4C8IMOv0xis1wTkCi2AzjK6xCMSsoTiQxkrU8M/ZcHAm+xhgFb7yP8o2T/wlP9p8DTVFqwmZBr44BibBZgCaUmo857JOwBOgvhOhNJghxPu0KjkgpI0B52+fOyjQ+BhcAf+i4QQhRDjRKKT1gKvDcZ7j2PD4Gn/mVUAgxVQjRAgwVQkTb/oA9wCuf+Qq/YDBtF/XZjciGTPaBbLBQn92IaR9ahN9yBTfO3shNc9Zz9btruGnOem6cvRHLbfXE0pcNREAmwv3APBdkexq7oZqM7X8eBYpDiBgFisPY/udhqObBX4hqc/7JBsWhzHmLQ4LzTzZA/eJIEeVxeJFKpRBJBeepDTn9RPvNRk4fplAcgm+fkmtzF5yig+Z8XLN55JFFKgG2BQk946eqjNxgxJzmjRgKIAOAjxItzcSUnwZd58Jjj6eJ40gbLzMolZHC3etL4aGRUtsWVVxKZAOKhITssd/5pZC0KCkq7AIKbJ2oz8bnSZCgu1WUOQpVtkmRU4GUEleESAuJIIWlaES0BLrbBQ+wBLREtx25m5XHp0axajNjYsV+hL/FnYyPJUaQB0afQ9SL7Temnj7F4IVVdmvqvIXlKtxw7KBsIALIptUX6AbXzn+F6xdkiPFuOGYCPhGkxYIyf2b8r01YTJu3iSbLYUcszdQ5e/YpJdnDab3Ls/tOnbcJyxOYVufzl4CdUV2YPqGSlJPJWgubJj85bhRJz+asmS9x9syXOGvmS1w5501O65khyK9JtPDS5kXcOSWXSPuOyQbPfrSKq9+bz43zFnPjvCV4UqEmEWs9LsbPly7BlYdzve0LBs3mgn3G0fNONnhjUzvh5E3jfbyxJcI9Eyt5Z1c0Z//Thyn72YL/uY1cPlDJPkNFKNw/d3/5V8/TGVZeyQ3z32JzS4QfL3g/WzpUk0gy4/2V3H7caJ6efCKPTZqC41l4npoNREDGTqcvqsfzVGoSSX68YCkuAU4ecAllZpgrh9+FlB6/Wn4nRUY5J/X7PmnX4SfHnsZPR34tG4jInDPGLYtm4TfDpJL1AHTrNpkvn/wUnoBksh5fK4lkqqWG7Qt+wXkTHqTYzCQBFJthzp/4MGawAhDgSQKBUsp2Rin7779T+MKb6KdOhNDBcbF9HlBqmDfdN+bU+lxS2VPrSw3zpk/bppTSAa4F3gTWAC9JKVcLIe4SQpz5SccLIbbSWsYhhNi5jxLHuewTjACmAOuEEOuBSmD6p732PD4en9lTSynvAe4RQtwD3A8MoL3q+hOX84UQpwKPklmyfEZKee8B9jsH+BMw6iCjXJ9PuDLrvNsgG6wM69+hNdOpFnJbM7ZHp6mP9j7lE3GrmZfm3UxzooZiM8y5Ex7ACBxCMAIQ/jTfOk1DEwqO9JBqmsMr5JLHFwWpVIptCejjStxO+klVkcAyHfakbaZMcTBVHwnXwvK5BPJZEXkcJNpkPRuUjJpFx2BEs51gU3IvRXoDdvpYJHF6iCqCyc0IvRjLOR5XqUNTd1GvZobCRKu7K7fS7PWrgEMXrwEViMp+ndKGNatJim2TXsliPvTVYVLA+GglAdnKm2IXQmoESWUgG8011JjPU6MLAq5LRAVFGmhuMSmlmWh0+5G6VXl8BjhOC8ntf+PxL12AKxVU4VG78X9w+n2FfZlqFCHo4VOpdzXero3w3TOKgExGxOMfWKxpyNjsnrgkZnkEfWqnY7xsfWkfUtKFq4+eyD2LmqmN78yoDI3uwVMfbmd1Y5zahEWhz0BXNGrjuZnJtXGHQr194aJtbiGdzucvPU2NByZX8Pt167iwujdPHj+ZqJXm8VXvc+dxE3P2r0nEKPS197cXNi3n/H7DePAUP54UqELy649W8dr2HR2OSe7H6VKTiGWIhfP4VEi6NmpAMGGSS7Gu0Ww5PL95Oyf2L+f7xwVwPI+UZ3FqH40Sv0LvYoOk4jJpok6RLihTnE5toV8hXDHa5U+btnNhdXf27FOmtCeekYwN+gIMKelCQNWygYg21CSSRC2HK2YtIGwG+MmoIfhVq9OSJ1+rokpNIolApWtBX64cMpUirQhX0ygyyjnt6Gn8YGFbRsRJNFvpbCCi/ZwxpPBx6inPIqVLymrmrZn/z955BshN3Xv7OWrTZ3e9bmPcKy64d+NGKKYHAtyb+5KEBEIn9E4wEEInhNBCQhrJDYTkQkINHeKKCzbGNq64e1y2zk6XdM77QbvjHXuNbbATY8/zZXcknTOS5q+jo5/+5WIvVCMUY9zYqWyY/QQN2xZTvfZDeo+7nh8c/UvcTAozUk4w1NbL37ZlO/ZvXkTVJhAVUczvnwFlYUQo6OXmOkSwdH1W90jlaU+PP+NhR8mYIbR4K1/w2i+bvLIJpdTrwOs7Lbt9N9tO2ulz1y/ot3sLy/6G99xZ4gCzP2Xjz/ESfHQEFgKjgVnAMbtr0Kxm7HHARmCuEOJlpdTSnbZrqWbsIYnUBaLSKhrERaWF1PdtkNKFYHyHck7u1pqoZZLI27y2pgq98YatC9Wy66PY8TnrpgtCBHgxby/MuI7zJj+Dfy9T7+Wl4vJ/fXGizBIl9oZsNouTN/HnXPDR4nXi6oKE6/LU4mWc1LUzmiZIunleWLyKawb3/4LeS5TYQaLWe7Bbr9K0Mk18+g7xdFFyEwpIyBUgh2Do6wmInrwTEUQyY1AIys2/sVlri9noiRaU9UArEkYISINwqFTVmC7Uia4t74OeRdqKjrkKwvVtCckgSS3Dct9msqoDtpbEL6rplItyVHI4lY5gcdkrBJTNJssbx4XTlpxZR6J+7QE7VyW+CoLPV73Ip588UVgSCsXo2fOkFrfWhIYp87yypoFfL67l3qNjPD2PXe7jfkNjYzJNu5CxyzpNKGLBMN/tPZS/LU9zy8A2VJgGtbbDX1fU852+MW6asYr2QYsKn4ku9BZDSRL5Hd4b7YMWuhBkhIvVwrjsaPDtt98lFgxwdEMrbvjoXQBiwTBqp3dWsWCYhJ0rfJ7YvhuO1NmSqSJhN9CvPMb8qqqd2gTYuTJcLBhGL73z+NJoQiPrODzwyZqiF1tztzVw5dB23DRrLgATY+0YHh1KGwVBNP642mbGRsnPx+r0aMEW1qSz3PiRV2JzfIfWtAvpu9hoTS7Dz+cu5MpBA8m4DhNi7TipayeilkUin+f1tRuozXn9xtMZfjJ3MT8/enSLdlqf92wpFgwgkNTXrWbLhg/pP/AiHCTnD3+Ei2c8Rzxdz9UDjuOuj9/j6qPGEwuGiwSJWDCMIbyKV45y+fCDG0ilvLlxKhVnxsw7GTvsWj5783r8kRiZ6tUE0z74+z+wrrjBq3TTkCwIEQCqNoH9u5ewrjz3kBIimrB0fdaBSlZZ4tBifw7VPwJGAOuUUpOBIcCeEn186ZqxhypZH5gX90JUem+/RKWFeXEvsvtYfEIXih/068gvPq7n8ne38IuP6/lBv44FscHSHaZOsopcH6dOsrD0HQO5VE7LSXj2ISmUo1SREAFeYi1nP5WULXF4kM1mydSZzH82x7Lf2nz6jrvLdWJc3AsV8B4iz+7Zi0c/3spl76/i0Y+3cnbPXv/J3S/xNaO+VqFpsDKfpL2/uILLZ6ktlOkWrtsBELTWNLY523HtY0BVIv2vUWVEKZfVRPJenoaQqscnc+SNHOCiU4eOxC81pLB23QFACkVWc2jjRLGkyaLwSlb61rHRX09e2OSFxjYzw5yyWawKLqNDdhiD684ireWp8aUAMNx25AXUVi8/kKerxJdECMGYcVMJhTx37lAoxphxU3d5y9+EGaggomcLoR1/WlrDdePMovv4NeMEGTfLM0tXcs1YrTi8YZKFEjb3jJxA53CUy7q2JvkqrPy9TfJVuKxra9oFfbQPWtwysgtPffo5pq64eVRlUSjJT8e147U1niDQlDNCIakxJNrFPYvGZe3iniR9ilgwwL1jhvHa+pWA93B3/6hJGAhiwXDRstfWee+jJrbvxgV9JnPFe1u54p0kj80z2ZaW/GzcCGKNJcib+jU0VdTPbUOHIdj7ZNslihFKIVWee8Z1p33Q+z2bfuvX13qeVhNj7bipx5DCfXnpn/Nc1ddiXEeNXy2X5M7vudM9uie+MrPQ36trt3J7C/PQZ5d/RjydocIXoF3Az/f79uHRhWu49INPeHThGr7ftw/TN28p7Gs8ncHUFbeMjhbZ6a2jKvnj8uXEggHuGTMUIbKoTD1H9P02P5x9E998/wK2ZWsLVS3KrADxdAPPLp/PbUPHFNnT3UOGEpApFrz8Q7Lp7QUhoolUKo7hL/NyRky8nS1zfo2KhDDPuxhCjZW1XLcgRDShahPgljK6lzi82Z+eEVmlVFYIgRDCp5RaJoTos4c2RwAbmn3eCIxqvkFjzdhOSqnXhBDX764jIcSFwIUAnTvvGoP7dUF3dBbNdul6bh98fshm4bPZit5T9s3F3FUat86IF8XP3TpjK098w5v05CQ8s3QtF41sR9QySOQdnlm6lmuGdiz0oQmjxSQ8mtj7fTGE2KV0Vyzox9jNZOtw41Cx2wONkzdZ9Lcc2XpPxNq+UrIIjaOu6wtSIXWBG5D4/X5IZblnzvrC25wt6Tz3zFnPU8f0/k8ewiHFoW639XWSQEgQz+XoG9kRx5uVNmsyVcR8kMj0R4ka2orWrM62wXA7ErMewGAlSzieiFtOyKkAIG6UUya3kMIrmVyuNqIpdinr2Rw/5eQ0k3JH0cB2ao16DGECFhp5NGWgKx8Sk8+Dy3DJ0yc9kHSqgbjvEwB0py0ZAfXpzSildvuQezhwMNqsUoplS59j+Mhr8Vll5PL1LFv6HCNG3dDi9kJo6LpJK1JcO8LCb/iQqparxmn4dYu2gQAPf7KQk7p2oiaX58klS7hwVA/KTIuM65CVNtWJDH5D0cXwM//lHWNqtl7x+cs2Q77j48ohHfjlp6tYUpvgmz068PfVm7li6BGFKgVvb9jINUM78aPBHdEE/HP9aiZ37IzQdKau28T/XNCZSkOn2nH587rNXFXZmacmjmZRzVou6T+YywcMw1Uur6xbwAmd+vHk+ONRyvPo/LRmPZf0H83lA8ZiigBXvFecr2LqzBqe/EaMJyeOxlWgC1hU8zFtg624alD3QjWN59b+iRsGXPhv+y0PFP8pu1VC8dTSWVzUdzRPHdObvJS4SrKoaiOXHNWHywf2pUL6+fiP+SIbWvR/OS7/H4stjiTr16i6uAcBBNW25Lm1Cc4+MsSVQzrQNRpiczLH31Zv4KKRrYlaBhnXJWjZhdKxZZbFtkyae+ctb6FkZzdeXeeVLY4FA6xp2MKvV7zGFcNPJmpGAJcjQoKpIweia/DMit8yt2Yhvxp9HxfOvol4ZhsAtfmaQpnN+nyGWDDC4rqtPLVkFlcPHEaFL0ClobFy/n2063km2YY4TraeUChWJEiEQjH8wdb0GX0t8ZlP4KSq0coqEeE2iKaM7bqOqIgWCRKiIkrJhafE4c7+FCM2CiHKgb8DbwshaoGvlDVrX2rGKqV+BfwKYPjw4V/f1+6u96C1fWXx4t77mGRXKlqMn2sKoXQkTNtcx7TNxc4rVw7eIUb49SDnjH2IF2Y2yxkx9iH8+5DA0tJosXSXVRp7gUPIbg8gTjaLcs3ChKeJ7Sslm8frZH2KLgHlCRE02n4L+VJK4cP7j0PdbhO1EgISBbRvVkljXaYGF0Ve1SNUZzA+I5Efg+b0xme+wfjcayyyr0Qrj1CrtSbiOmS0HJvNzlSqpSgkAocujidGOHLXsp4AAVphEiQlslTgJyItKnMhtvgb0KSFFHkggJI+wAAlWR/cgJ96uqbHkxVbcYSN6bZDCkjjkslUEQy2/H2HAwejzQohOLLft5k1485C7PkXeUYAWIFWhJJbKRdJbv74beLpBmLBCPcOGkMwb3B+v178ZulKbh95JHfNWcaNsxYQC/q5bcSRGJrgN58t5o4RI5GO2mVMzdYr6jM2N836tLDsN0vXcsPQ3tw0c3HRPdzUHNJOmpzUeHndGjanU5zXZyAfbq7nw831Rf1eMUShyHDr/F1zmk/q0JNz//UgsUAFj4++pGibp8dd2OI8xlGKiz66jHhmG7FAWx4afhs+zeLHCx/csWzYrZRrX/+EgP8pu41qBuf3HcG1H73G1KHHcvG0t3bZ5t3J57ZoQ+mcxLQkt8/expLqXNH6Swe34idzl/DjEf24dpoXrvHqmurC+l8f25tYMMB9Y4ahlItPN1v0rq1ozOPjecYM5b5Pn2Vx3Tqum/dkYbtnjr6YvEzzxLI/sLjO8w5zkQUhAuD3q/7M/SOu58a5L/HsipncPvRY7vr4PRbXbeWRT6dx9+AxrPzkKQYNupDPP7wXgI0L/sC4sVOZMXPHdTtp0kNsmfYo9Z9/iBWJ0eOYe9CzBoSbXcvhEOb5ZxbnjDj/zEMqcWWJEl+G/SZGKKXOaPz3DiHE+0AZ8M89NDtgNWO/tugKf5koGuD9ZQL2tbSnaLlkmNYYpmFonstd84e29kGrWKCVDm7Nes6b/AxSOmiaQUN8Efjb7vV+5KTkk+3xotJd0zZvYMIRHffUtEQJABy7FqG3bfG6qAzpGJYsCBHQaPst2LYmDornjxIHOVIqEnUKYjZIiDVLXrk2W40AavMCpJ+IjFKd6Yqjb2GA/hSvW5ewJVRBWG0loflo50RJ6TYIjSrDAFwQOTqoDehActecWQRpjYEfRyaxRQaJj6jrozIfYqu/AV1JbC2DJitAmIBJkyCxzr+C8nw3uqePI2GkCdhemEZWg4bE+sNajDgoUbToGTFy1I27bdLkHWEv/CWP9D0b4a9AZWtpWPhL7F6nUNmmjG9274xfFzw6YSBKeaKHJhRT58yiOpdFEwqh0+KYWmsXC7k12TytfCZPTRqMoxSGEKxp2EyZVYnfMHnl8/n8bNw4dKFj7m5eIQC0whvoJmLBMiKWj6fHXUgin6AqV1W0TSKfarn0qZA8Pfo+JBINjSXx9xnV8QSeGXM/jnIxhE55Ko2lkuAPf8Uf6fAk69bT1hfkqaO/iWgMpdk5h8LubKhVUCdjQHW2OKTXK1sLPxt/FJamt2grUcvgiQmjEWSxdB2f4W/RuzZi6Tw9eQTllo+afA3VueLwh1iggja+Vtyy4KmCEBELtMUQOrFA24Igsbh+OVmZ4MaB32j0NMpyy5BxnqeRL4w/t43uI2/A1H3YGU80adi2mA2zn+DokTcTKO+CrNtEbs4LtO93Jp3GXAlb61F//wQnMRPrynMh6tmg0AS0b+Mtc6XnEREOHZL5IkqU2BcOyPtppdSHSqmXG/NAfBGFmrFCCAuvZuzLzfqpV0q1Vkp1bcyCOhs4dIUIwLAcBp5leQIE3sA+8CwLw9q3soTlutpNyTDVuB7uHddjl1jA8mYRGL5ABdGKbsx59YdMe+GbzHn1h0QruuELVOz1flToOoPatOHSae/xrTdf5dJp7zGoTRsq9FJlgxJ7xslmkdLFsGwGnuXb6brwYVh2kRABTba9c5xr9yLbLlFid6QaFFJCjZ7DFIJWzaoGrM1UUyZao3InoMu22OkpKAx0319ZztlU662Ykn2eq7f+GlPUImVbsrqNQuFqGRQOlXItUih0BTVyUNF3B2mNrnw4sgFJBiUgK2wi0oehNCryQRzNJqd5E3NNmejSh8ACYZMXbfi0/A8Yyk9e0/HbHcgJyGmUKmochASCrRk4+ELmzXmYt978IfPmPMzAwRcSCLb+wnZWoBU9RlzE1ul3s/al/2Hr9LvpPvQCapa+QmLO47T2Gdwyez7nvPk+V02fzfZMuiBE3DFiKM+s+h1JvW6XucagsywiUZ1Y0BtTY0E/94zpz3OrPmZTupofz3uBC2f8lnJ/kBfWfMgt8//AuPbduWr2nznr3cd5P76oxbE3KHKsXP4sD4w8g1iwrLHvMu4feQaPf/ZrLpx1DQ8vfZIKK8gDI88sbPPqhrktzGPaYFLPIzPO5/a3T+GRGefTu/VgfJiUPXY+re4+lbLHzsfMZZHavlX+KrGDqB4lY9ewNbOJhxb/lduGjirKoXD7sDE8svJNep8himyox+kaG916nv5sOreOLt8lh8OPP5rLNdM/Iu/a3DOuW5Gt3DaqM460ybopXlj8U7L5GlL5Km4b0aPIJm8Z0YMnl75FTqb4xdIXCek6D444j1jj3DQWqOCBEefhOA1U52obl7Xl4WG3UrPmPR4cdguxQNvC8jIzSKVhcseCP3HJrCe5+5M/YzgJtk2/G0NCgAiGFWXACT/DH/FCne1MNQF/Jal3HqHmucvIrZuLSQT1p3+hnvknrIu3mA9CaAIRDSMqot7fkhBRogRi5wzE//YdEOIk4Od4pT1/q5T6qRDiLmCeUurlnbb9ALhuT2LE8OHD1bx5X0+9ItuwBcxynLyBcgVCV54QYdfhj7Tf636cbAoHnTpXFATYcl1h4GL4Q83WeyEbhuY9xDWtb0IpSS5Ti5R5NM3CF6jAi57Zy+NJbgMjSq3r4iqJLjRPiHAS+MN772FxkHFA7h5fZ7s9EDjZLJmGNeQz1ayYdh9DvvU3nLyJckHotChEeO1SOGgt2LYssu3DkJLd7gWb1jm8+VKOxZ22sdFIcVl3L07bVZIfr3odLT8EVwmkvppwdhK2lkS33iWtRTkt+SIxuYGJ26v5dbsjObLqQRp0+HNsO465DGjgu4nfURXKEnFhY8OTuMqbQAeoxCTQKETseAvYxglR4QaYF9xEWrdZEalByCCh3JHYegpDW0PK2o6kGiGCuMZ0+iZO59itowi79bzX81RiNpzY87sMG37Vf+KUflX2u90eTDYrpUMmXVXwPgwEW6Npe3ZaVUpiZ2qRbh6hmehZiVu9CeUzIVBGMliOjUATAiHAlhJLCHTSZJWDT5hYehDyPnABHXKGjSYUeSkKXhC6kLhIDAFZ18bQNMo1izqZxVESn2aCAls6mJpBQLNIugJHKgxNENXBtrejCQPTCFPvOjhKYghBme6nVjbgKhdd6FRoYUBSJ51C+3LNT50LrhTomqJcl2QbNiKDURzlYAgDLZ3AHyjDSuc9a1EgNT/4AhiRyB7O5AHhaz/WevdRh4zMk1PCqwaBiSsVuuYlSbelxNR0gnYAJQVKQM6ykcrFli6WriOl2XgfFmjCIScVhoCADnnlIqWFo0AToAuJIRSoJCiJJQwkkMfAVlZjaVfQsJFCIZAoJH5AQyOFwlUSQ2hEhI6SeW8ZEjPjUu4IckGJKx3SZgBHuZhCp5U0UJpOAomNwkQj7DqILdvhjY8RiRTGRWcDNnZ9HGWZiLyNUXmEF4vs2oCO+3/TUYtXFc6hqIh6lTKiXxvvnINeGRFCTAEexXtmfEYpdd9utvsWXlnOEc2fGYUQnYGlwB1KqYcacxv+pVnT7sDtSqmfCyEGA78E/IADXKqUmnMgjutwZ3/mjPhSfJWasYciQjNRuCitFikcNGEAUYRm7rFtcxw7AbqPsMqhlINQBkgfjpvD8Idw8wka6tYSatUViYOmDBq2rSVa3rXogU0IDX+w8iscEIBLRCVQ0kFo3vEc/ENeif8kTjaPY9ey+K3rsQKVDPnWX7CdxmvCNDCMKLgpvHtEMW4+ge1kCVv+gu3b6SzC8B/uYkSJvaC+1hPoV7oNdAvvsK8t+QSu0wGUidS34nfbAw55fQPCHUEn910wNvGh1pe3OllE8j5CrslmSyC1BGDThbcIikavBmngKi+B5e6ECICMsKkkSEhaKAER2yBpgCZy6NJAx483oFpoSiLcLnweeo+cNoK2uTJyQsMWkpraVZQ4+BBCQ9NNFApNN/da7BdCw2q8N8u6GuxX/oacOB4VjaKQhOx6NMME6aLSCTTDQr7xOATKCE36Dmg26A5KE+D347gZfI6D0Ex8QkMqG4GGUIAwUNLFJ20Ehte/k0LTfeBmkNImoBkYmh/IE1bpZvMOC02BECDtFCGhCnMBN5cmouso6XpviIWN42YINa43tDDp2hWEI20L/eUavBcZtptFV557rxnyPEmyAYVU3rxJX7UOs2uPA/OjHQY4dgKMAIZ00BrPqaGBSx5DC+A4GfzSQSgd9CxK2AihEXC9xKyaZuLaOTTdQgmJoXk25m/6bQlhuCkQWW/O67oITUcIHU2YuCqHQNE+oHIAACAASURBVKIpiU/l8IssAoFSEkPz4UobKW00zQSlcGWOkJRUrX4PX9sjobwrutBpJUyUlMh8Dtdn8ukrl5Jt2JF40h+JUTbyJvzt+1IZKiObrkJJB+UoxIJ1nocDQFU1zt+fhdqawvTVrWjlle0sa42SCm3K0dibtpXyQRwghBA68ARwHF7Bg7lCiJeVUkt32i4CXAl81EI3PwPeaPqglFoODG7W/ybgpcbVDwB3KqXeaHxx/gAwaX8eUwmP/7gYUaIYpftJpNbzxvTraEjFiYRinHj0Q0RD+5hF2YySSq3nw/evKyTYmTj5IUKN/SgriAqV8+K7FxR9j7L288Cph75wP0qU2BknmyfTsBrdCpFtiDPkW3/Zp2tCWRHydh0f/vPyIpszra+tJ06JA4hyvSeapqSBiTqJbkCVzDPGX1bYblWqGs2NgagHEhj2QKS5DM1cjLLHUqsG8/dgLRVuijY5h0+iIU7fFCCtp5GillZiFp2T3UkZqxvfJHcGxBcKESgvTAMgLC2Sep5YNsqKcApHZNBUFAcfulQozY+mUjiyAzlzFZv9a+mS6UEoOwLb/IjNtZ/9m85oib1FKUld7Sref+/qwlg1+ZhHKK/ouU8eiArInTCRnEqx4K0bySTjBMIxhk+4k5p5/0vbwf/NtrnP0+G4C0AIVr/yI4xQJbFxV5BJV2O16lx0jx477k4WfPwYmUwV4yfej5Q2M6bdtmM8nfQgGzfOpF27wcycMXVHEr/JD6PpFu+9c0XRtsuX/ZUtW+YwcfJDbN2ykPnzHiyMy4vm/YqNGz+kb9/v0K3HlKL9OObYx8Dy89Y/LygsO/b4X5LIbOGNac3uB+MfImBEePuti4oSCkYt48DEIh8OmBESqQ273HertiykXfvBLFro/W4728uYcVNZtvQ5+vb7f3y++jV69DqNVHIbZeWdd5kHGkaITHpTkQ0dPeEeLCvCgvmPtZjcddOGGXTrfgIffnB9i/Y6cdJDrFzwa7au/5BAOMbIYx6gavYz1K/5kF5n/6ZIiADINsRRvgCugGTNSua8e33h+hl5zIPe646PFiN8Jqq2pqitqq0BxwuhLuWD2JW8646pyWUedqSMGZoWb+ULXGvp+qyv0OVIYJVS6nMAIcTzwOl4ng7N+QlwP1BUgVEI8U1gDZDaTf/fAFYrpZqKLygg2vh/GbD5K+x7iS/gPx6mcSA4mFww95WGZBzTqKBW2rhSomsaFZqJ7dQSCcf2up9kMo4wKkg06yeqmSinlnA4RkMyjmZESUi32Xod6ST26Xv2Zj+MFo7HadyPrylfexfMgxUnm8Wxa0EzvLdnZhTbSezTNeHZfpSEdJrZtoFyEl9nm9sflOy2ESUVtQscqmbYZDcrhAbBbhptJ5jMXOqwrcbmyfByLuzSke4hL+78ibVL2ZRsg6tvwXA1/PZRNAReQBcRIq5DUo4kzHweXvsob7UdSge5lIptL/NmZTUr29zOEU6Osrrv0zpyExkdtMxkGnI3YRIsFiIUHJGx6JsI0DbnecSlDfg8kmdaxXYQsCxcj5SV+Nz2ZPStlLOcKp8DbAcRxtXn0TdxFOduOJPZrRdRX3kZnXPwo2/PRdO+dslTDtkwjUymmsWLnyXW5wykMNCUQ3z5SwwY8F0Cgb3zSFRKkk1upb5uNYtm3kcmGadj79OJDfw+UjMJGAFsJXGki6FpBDUfqcb7vqFpmELgKolUAlcpdM1zhdeFTk66uI3hEn7NIOlkMTQdXUBO2uhCw68ZpNwkutDR0wm0UAds6eIqhaFpRDSTlLMdXRj4hY+syuEqB10YiHwO2xfBadwXn50na4Qawzg0gipLXe1qzMq+zcZywfK1r9O+03FIpdCEYMuGt+kWG82rf/9W4byEQjGmnPAMwch/ZMz/2o+1Dck46XwS/O1xpEQTmndQQhHQdDJS4kgv9Dao62QaQ2t0ITwPCuWiCw2pvLa6MMi5O+yiSSTShCInXTQ0hACBJICDoVlk3DSucvDpITJKK9hJQNmkM1uQdgYbieGL4PeVo5QCJfEJEzufIu+rxFV4duhmQeZYPevnVK/9sHCc/kiMoSf/EtfQmf7aD/EFKukw+Ado/jKw08TKe6I5LgIF02aj0ikyx07ANQSGZhBWFpqmY+OipI2mW5j7GM58ELHf7DbvumM+T9S9fONH77eOp5PEgmHuHzW5qnu0/LQvK0gIIc4CpiilLmj8/B1glFLq8mbbDAVuVUp9q3lovxAiDLyN51VxHZBUSj20U/+/BT5WSj3e+Lkv8CbeedGAsc2EihL7kZJnxEGGaVSwNpvgxo/+WSjZdf+oKXT1733SSABjD/0YRjnrsg27rO/i333d+y/DnvajRIkmmnJEbFn1Ju16HI8V7UI2uR5/uNs+2ZBhlLMmW8eNc14knq5vTJR2Jt32s22X+Hri5hTrn8/R8JmLVSkoH6yjHEitc1nzuxyBKOSO8N52NS/ruS1jIbBB5TGd3uhaLUqXSBkgrW9BsZGkO5Rbul5CRKzjA/sMLgMssYrjs4uIZXRc/U5W6GBInXT+B41CRLIgROgSRtVE6J7yk9Zd1gdzKKBt3mJgrY9gvhXvtK2hVd7HNisLLmiYRJwA1b4kEj+mlEjRjmqfly2+LDeAKtmRnLaRVGoLkcgR/+5TXmI3SAXhXidz8dw7CiUpHxx2y16XIVZKkqlahSMUhhEoCBGhAd/jojm/p9If5fK+J3PngueIZ2qZ2G4AP+xzStFYeu+IE8hKmzvnv1dY9tMRxxPSLa6a/eqOMXfkFGZsXc4/1i/i9iEn8fhnL1OdS/DAiPOYsWU6STfD6Z2+SU2yjrs+frfZWH0iZbrGAzMv4PKRD/GPZb9i4ZYPGdx+EicceTXXz3iSeKaW6/qdzuDWfblx+t+LxvlwRR8umv6/hbH8gZFn0qbjcVw08ynimdpCskLDLPbqTKXiSORuzlyJPaEbUeocgxumvVT4PW4bcgyztqzl+M69i+/HI6fw1oYV/Gn1J8SCEW4fegxBQ0Pi8s6mjzmz63iSdo6b5vyzqK8XVn/Cf/ccxONL3qE6n+LHQ07mL6vn8oPeoygzkjwy+3L6th7F2G4XcOPcl3bcz0ecwdatc+jQdhC/WnAn1ek4lcEYPxgylbdXP8d/97+GGhHhpumvFL7vvpHHk1/5El2G/xCA6rUf4o/E6DvpDqSbQwoTX6CSytFXcvWnvyhcjw8Pu432uSzrFvyW7mOvoEZk+cXcSwvf+aMRD9HKFnz69nVkG+L4IzGOmvIzQq32zbvpUKMml3m4SYgAiKeT3PjR+62fnjDl4fbB8NgD8Z3CO+E/A85rYfUdwCNKqWRLpZMbiyicBtzcbPElwNVKqf8TQpwD/AY4dj/vdgkOUDWNEl+eWmkXBnmAeNoTDGqlvV/7qdvN+rp9/J6vuh8lSjTRlCOiQ5/TWPL2DUgnwZx3r99nG6qV+YIQ4W1fz41zXqRW7qm4T4lDHWkr1v4+S8Myl8oxBkecYdFqhEnlGJNOZ/uIDtIpT0D3DRqVmkmwsepP0nHIuxHQUmiArsqRxnqELEehyBHB0D5HE/VUM5INYgwBpysArZ0sQkCNESGlazjo5NNTQXVtFCIygCdETN5WRreUj9WhDDMrG1gZybIqkmV+qxwbItAjFeCkLa0pt02kyHl5BpSFSwBduggC+KSLptqT0D2XYp+rMLNnkW8s71ni4KEBl+vn31MoMxjPbOP6+ffQgLuHlh5OupbVr16DYYVxnAyBcIzYwO9z/bxniWdq+V7PYwpCBMApnUfvMpbW5rMFIaJp2a1z32JzpqF4zJ3zT6Z0Gkg8Xc9dC17ne72+QTxTyw1zf8+JnY7ntE6nsDndUBAiCu0+egP0KNXpOI/PuY6jO58KwOjOZ3L93N8X9m18bHCL47yjKBrLb5jzIo5ShXZN+7Cj6KRHKBQ7rB8GvyoJ6XDDR28U/R53L3iPU7r22/V3mvNPTunar/D5ro/foyaXpS6X4tQuY3AVBSGieV8nd+nLXR+/x3d7jyWerucnC17j5M4DuWneK2xJV1OdjnNszx8WhAivbT03zn2J3l3P4FcLplKd9sIuqtNxfrvgTo7ufCo5TG6a82bR99005y1a9/kv5rx7Pd1HXcHQU39Fn9HXEp/xGKtevhJN6HQcdhE3NQoR4F2P186/m1o7QazPqdSlN/GLudcVfecv5l5HXb6qEP6RbYjz6T+vwW60z8MVR8pY81Kw4AkSjpRfxVVpE9Cp2eeOjcuaiAADgA+EEGuB0cDLQojhwCjggcblVwG3CCEub9b2RDyviK3Nln0PeLHx/7/ihYmUOACUPCMOMlwpuXf48bTylxWyWddk63Hlvin8e+rHlZJKK8jVR40navpI2DmeXT4fd29fyezDflzTfxx9KmKF/VheG9/n4ylxaONk8ygU/Y69F80MMORbf0E6CSac/heqHIc/TjyHtKsKNhTUBQkn12JfrpRc2/9Y+pR33mFzdetLNleCzS/nSa2RtJlsEulZHK4gdIHZV2fNGpduCYPvrI9BH0DAvLoEAg1HZDGdchQ2SX0jEEQngSmWc5z9GlkR5hN5KzWyB63ceqAddfSmnTJQRh0ZpSNTU1HOZByZQNJowwrGVkVplzNZHE2zJVAstLnCZWsIarUMA+uDfGNbK1aEN6LIoimDlOaj3BFUWyZ5TQI+srokq+UQohZ/5iRy5jNU1aygwxFj/h2nusRe4Ci38ODTRDyzDUftnRgh3TzhTiNQmkawrAujpzxBQrOo9EW5pv9ZdA/HuKb/Wfxh1VssrltH52Abfj7mm2joSFz+tGIeAcMoPLQV9iHdQCwQ4S/f+A4aOprmud9LJfjbN66gIZ8mYgX5zdjraOUPoZROQNfoHPJxz4gpVPiCnju+EDjKC6G/45i3WLjpH7SLDOLacS9Q5q+k0je/ICoopVrcj6Bu8pdjLkMXOq5y+d+V0wnpPl6YdBu60HCV5E+r3sZVklAotiP3wNF3oavDN17/q+JIRaUV5K5hJ9DKH0IXAp8msKXg8bFnoQmFqYGjPA8fn6bxf8d9DykVQoCpKdJOFr8WQCp4ePQpBI0AUnqhQIl8Br9hcfWASbQLeOU94+l6yqwA8XQ9luF5ughhUGmFuHrAiZSZQertNM+u+BdSeWJA9/KjOL73pQTNVqTtGloFopiaf5e57eK6rUjNJJP0RAMlQPOFaTfmEnRfFFvX8Jd3bfF6NKId8WWT5FSmIEQ0UZ2OgxkoWpZtiCPdw/vlh6Fp8Vgw3LW5IBELhjE0Lf4FzfbEXKCXEKIbngjx38D/NK1UStUDhbrIO1VgHN9s+R14YRqPN+v728BzO33fZmAi8AFwDLDyK+x7iS+gJEYcZJQbPpK24JIPFhJPZ4kF/dw7tj/lhrVf+7F0g8sGjOWu+TNpiue6fdhYLH3/xhNHDR/tQpVc8uEs4ukMsWCAe8cMI2r49ty4xGFBU8LKxW9dT7Yhzpjz/tUYntGZmvR6KoLd2JDJc/PMJUW23CnQsg1FjQDtgrFdbD+6j9dQiUOL+iUONXMdygfruwgRTSSTiuogrPLXcNy2VmQWS7JHKZYmPC8EVB7T7Y2rb0MKDQ2BrdXS11mBoymy2ePx05YYCbq7i4DeKHMpDfYYwsZsqvN3opzx+Iy/k8+PK3zvoLogXTI+loczuwgRAG7jm/JtQclKJ83ARIThtVE+DWfRVBkJw0evrEWVZWMLE5REUEa92QCk0WiPY5/G2u3zGMj3DsTpLfElMDSDWKBt0QNQLNAWYy9KewJoZpDo4LN5s1mCxwkn/Ykr+n6Lu+bPJp7+iFgwzG1Dz+STmuXY0lc0jt4zZjhC5IgFI0VCwLk9hpCXRtG2t404kic//ZyabJ7bRhzJI3NWNP7fhyc//ZSaXI77xgwjqPu49F8fUOnzc+mAwdw97xPi6QwTYm35Qb9vccW0+YW5wG0jzuGxz15gcd06hBAt7MdganKKm2cubTaWjyfvKq6e+V5h7nLfqG8Q1H2MGXUzuhHAdTKYmh+0kmfEl8Wn61x11GSmzlnY+Pu14/t9+3DLrOb205/ffbac6lyOSwccWfitY8EAU0cOosz0cem/PuS0zt0Y26ETlzW7J9824kge+Hg5Ndk8Px3TjwHlHajOp6jPZ4gFy8g7Xo5BQ8Dl/U7m7rmrmrU9GUvTGdx+EuO7X8Fd85cQT68jFgxy3+ge4CoeWTS/YB+3DR3DC6sXoimHQDhGMrmJ5Qt+zZEjrmDp0r/Qvf+3een965k05PoWr8eG1EYsswzdgcpgrEiQqAzGwM4UnTt/JIamH97zjVa+wLX3j5q8S86IVr7AtV+2T6WU0+jN8CZeac/fKqWWCCHuAuYppV7+Mv0KIUJ4uSQu2mnVD4FHhRAGkAUu/LL7XuKLKY3UBxlJVxUmAADxdJabZy4h6e6bx0LSVfxuyTquH9iX340f5f1dsm5HPwqeX/UZVw8cwS/HT+HqgSN4ftVnXu7Y/Ujaldw8y5t8eMeT4eZZ80m7pbfUJcDJ5nDs6oIQEW07AOkk8Ic7UyuTlAW70bAbW27YzTWR3s01lN7Ha6jEoYObU2x+OY/VSlAxbPcPeg0pz0b+0X47W9vmCCzS0DfDloyGEik0fGgqiG1sQ+ACLoJ62rKOLg0h1nEyAAJBPu+9iDHCP6fOHkt97lZcZzyW/3EcuaNUc4eMxVGJEBsDOdYHW/b2UShc5WIpgyXRFPWGw9mb2iFUBoGGIkC1ZaGpPBD0yufJ1tSb9VhukJz5MVrudOJ1pRc7BxMRNB4cdiuxgFfpx8sZcSuRvZya5d1MoapA69ZHMWbcHTgYjULEjljtuz/+iJM7jdtlXLxl1hLKrDCPjTuVie27evsQjHB2j8G7bHv33GV858jOLfy/nO8c2ZN4OsNNjff6eDrNd/r0LTycApzUtfMuc4G75y7lh729a2ZafCH3j5pCLBhpth9DWhz7HaUVHd9NH31A3oWsypPTvL/LF/2GQzA/+78PpReECICTunYqCBHg2cTvl67jyv4DuXvoKJSt08rna1yX4c45nxRsYUqXbl9oT7fOWsoFRx7Dj4eczKLqDfxy3Lm0C/finuM+QBOhghCxo+0qlDI456i7GoWIdOO6NDfNns3mdHon+5/FlUcdTViH4ZPvZ8WCX9Nz0PeorlnJkNE3IAyLEwZfy7pNH3L3wB8RC7RlQFkfHh3xU54cdT+RcFcyug892olrRz/uCRB4QsRlg+8iYpZT2XUiPU58kN5n/oY+p/8SvVklpsMRS9dndY+Wn/b0hCmzXjz+zLVPT5gy66skr2xCKfW6Uqq3UqqHUuqnjctub0mIUEpNavSK2Hn5Hc2TVyqlUkqpykbPiubbTVdKDVNKDVJKjVJKzf8q+15i95Q8Iw4yHKUKg24T8XQWZx/vqgL4fvdevPq+pC6pKA9bfH9yLy8jcOMW5/Toy90f7/CMuG3oWPZ3EmjveIpV43g6s8/HU+LQw8nmyDR8jnRyBSGi+8jL0Iwoa7Kb6ezvxIZMkgortAdb3qnf/XQNlTh02PpOHrte0eE06wtLrTWkFBgSW5c09HFpnVIEZ2r4eurkLQddWigUQqtCYAJJ2qotBFSO/hu+yevdd/QVkD7ywkFqEktrT84ZjhZ4HJ/4iGrnTAAsVzCmKkyD4bIskvnC4dfFxcJECVhQ3sCkqgqOrfbzbiXo0mKb5SPgmmQMDaF0BFHqzAY6ZGLkrT/gS91Idbrr/jmhJfYLjpNm02d/5qkRd6A0AyEdli/5Ax0GnL9X7aV0CkLEsJE3sF2YiFySlmK13d2Mi3kp+dHMV3hg1IlcM3A8nzdU4Upa3DZqmbv5v8nNPoPf8LyOopZVdO+PWmaLc4HOoXY8Pe5CAppF2DB4dOwpCISXDwXR4tjv09VO/SRxlOKJZQ8XEgtePGgqcn+/XTmMsKXa6fezimyif0WU73fvxXOvudQlHcrDPq6fPIwHP5vPktq6IluQas/21DXcGkOziXQ8ikum/4OmxJOPj/3WbuwWavKpghCxY12agG7stCyJQvH6gvs4uve5Xr3G8l5okRi/f/8C6tJxyoMxThsxlU/XvMJDR10BVttCTpNYoIIfDz6L51c+zUW9v82Pj/4DtsyS276CxAe/oKZVd8pGns8v5t1QsL8rRz3CEdGeaIdx3hJL12cdqGSVJQ4tSmLEQYYhBOf26sRZXTpjomEj+du69RgtZH/9Ikxl8ur7eeqS3s24Lql49X3JD073Jg0uis/r63jq6FOQCjQB0+Kf0zEc/aJuv+TxdOOMLj0xhI6jXF5at2qfj6fEoYfj1pPPVBOIdsIfidF5yHkEWvenVibp7O9Eg6to6wtjuBYOilPHKN5faLNxuyyy5Z0xhGBirDWnd+lEhWlRa+f5x7oNJZs7TMlVSaqmO0SO1PG3++KJYUNSkjdddAStLYvsAElgjsa5G8p4ssdGDKcHrlaDEnVAa6RWQwe5jtY5QVprX9RXwNXJaQon8Sy6qkALPgyqiurk/YAJCkbVhPFJjYXlDewpvN0TIyyEEtRaDusDWY7dXs7ciEONz8JyfWT1MEqlyGkW4FJvpAm7QZRYgRQJsvmTyGXr8JUqyxwUaJrBpm1zWLbmH4VlkVCMUdreeQNrmkEoFKP/Ud8jKV1uWvQij466lImxzvxXj/60C4QRQnjlFoUgFvQXPdjFgn4sTePpo88CFEFdp0fkCBypePHE0aRSEiUFdXae/1u/gUTeLrQr/j/f+H+AkG7w/HEnYQiN54+fxJ+WreLV9RtJ5G1iwUDRA24sGMBsDKUos8p55NP3OLnzIMqsIPX5NAMjXZm3yOGksRYBnyCTU8xbZDNlXPHUNRYMo2taUWLBX35yJ7eOe4biGhsl9hZNwIRYO87p1Y0jQiEsafLGiePRpUApEAJembnzHBPuPXUU250kEdNCE4J/TDkVgWBCrDUndY0RtUwSeZvX18aLbEgXAqUMfrNsflHiSVfJFu12faoWWzrEgsEiQSIWDJJxnaJjiQXDOMphSO9zmb78f5k48R4SeoDa9FZC/tbUpePUpeO8PPdOThh8LY7rcnOz5KrxTC0/Wfg3rhlwAtfOv5vfjLkfHwK3MRTD6jGeRxqFCPDs79GPrubHE56lzL93JXpLlDicKYkRBxlRXXBOh6588FKeZEIRjgrOOaUrYd3Zc+PmSFG4STRRl1QgvRmvT2gMquzCZe+vYEs6T/ugxb3jeuDbzw9sEV3jmx368Nxr+Ub1XPDfx/chsq/HU+KQwsnmsdM1rJh2H1agkiMn3UGgsi816fWUNeaIeGfdNs6OdeWd17KFa+Hk43y8NjfPxu0SoVp+sIzqgiv69OX5t/KFt2lXHN+XaMnmDku2vWcjdL4wPKOJhqSizsrRTre8hH0RmNExzfgNIcZVV/JJuJy8uQBbgKZAo4527mZ610aptvxFfQVdA0fT0WQrHKpQ6eNRcodg0TXto0vaz8pwhqS557A1pzFvhIVBDpvPIik6ZH1MqZL8pYOJz/Xjag1I4UcCQiWoN7yHRMM9grT/TUKZ01m94RP69Zq4D2ewxIEi6G/NieMf4o1p19GQihMJxThx/EME/a333BgIBFszcfJDCARpq5x4phalXC7pN5LanM2P/rWoEGd/16h+PHz0UVw7/dNmy/py2+z51ORyPDZ+FJtzLjfPWE2l3+S2fj1Y8KZqHHstrj2lL8tyNUX5I7z/+/Dkp0uJBQM8Nn4USUdyzbQd33HPmP4AvL52PfeOGVYI1YgFA9wyvD8Sm4tm/IrnJ97Ef3Ufzd0fzy54a/5uXDfGHGXx0ge5xrFccMYkH7pQxILhZjkjJmHs5FZUnY7jlkp7fml0IblkQF+yriSR0Jj3ic2E/haz3s4V7scTjvPRkPbux+DNMYUS6ELnyma299SkQfygX3dunrG6aL45M76tYEPVuQy/X7aUb/caRnU2zeI6r6hBxs1wy4ie3NMsZ8Q9Y/vx4MK3Abh12Dh+On8+8XSaWDDI/aNHY2lakX3cNnQUjy99mcv6nsiAIy/l4o/+TlOZ0J8MvoU5i+5hU82n1KXjhPytEL72BSGiiXimlqgVJZ7ZRl1mG8+9+z3KgzHOnnAnmu5rMbGlU6rgVaLEXlESIw4ybNtg0WybURMsLL8gn1Usmm0zYrIJ/j23L6B5N+7mgkR5uHEGDeSlzs0zlrMl7Q2WW9J5bp6xmqeO6bM/D4ecYxQeCsG7WT3/Vp4fnG6V3lgcpjjZbGMZT68ud7YhTqCyL1k3UcgREdR0vte9O+mkYtQEi0XzbLZvkcx6O8fkSRavzMpj7CbXavYLbC74bzzOEv95clWS2gUOZQN0jOAXC625vCKXh7g/Q6wxwa5UipdaNdC2RnDOxk6s7w7V/m0I/Cgc2suVRKSkU6IDnwd2ZFTXlU7U9ZHUBY5KeM7iaocQEXA0RlaHqTMd1u4mT8TOuDuJEWlDMq88wcjaKO+0FmwJBOic0VgT0gE/hkxTb3iCnXQ7kwq/RjhzNrM/q6dfr70/hyUOHLpuUlnWkzOPfQYpXTRNJ+hvja6be26M5xlRUdGLdHo7VfXriQUqEMJkSyrH/K21/OzoIfh1gV8aZPIuPgS/mjSCrAtSSXyGZ1NXDRyMRoCMnePHI7vSyRfg/RdtkglvDE0mFB+8mueEs1vx6IQQKdvmrlF9STt5gobBnaOG4EgXXdNZtK2WJyYOK3hcTt+0lQv698FWDj5N48mJo3GVojqb5I+rpnNp/wkABAw/1876V1Gsf96VvPSBUzSWv/RBjvNOtXhy/AkopRBCMH3zaiYc0b3o3FQGY2iltGhfGlfpxNMZLGnywQcup47ZIUSAZxNN9+M/vu2NYeVhga1kIT9E/4oo3zmyG440UMrh8Ul9QWnoGigcTu4aY3LHtvzv8lWU+0xuljLrwAAAIABJREFUGTAaJeHhYd/kiRX/4uUNn1GTy/D3NUu4cvAAopafRD5Lzk1TnU8TTzfw1JIZXDVoOBW+AG39AVTqc3LS5efjJpHIZ6nJNfDEshdZXLeOM7uM5f5F7xJP1zOgogPf7TUG9CAnjLyPN+fcRCpbRcTfhtrUNmKBiiJBIhaoIJFPEAu0JZOtBqAuHeev86by3cnPtJjY0tAO7ySWJUrsLSUx4iBDB/oNtpj+zg71+ehjfej7GPtoC5tTJmvNYi0Fp0zWsIUNGDhSFYSIJrak8/u9tKfajYeGkiWX+cMRJ5sl07CmkCcCYMx5/yKRWk8o1I0NmTSdAkHSKT9vvJotugbmz8yzfYsk7Bf8vyk+QoGWbahkcyWaaPKKKBu4d14RAHE9wyDdExa2uy4Z4PddNjB1WS/+a7PLU9E0qDBKJGkvNxN2oTLZhaoyTy02pEEn+wgsKcgaORQ7vR1TMKY6goZgSTS912l6vCSWEhOj0GZJNMmwuiiTquH5I4L4pEnQSZE2ArgiRMLwvIFcGcPQVuMYS9mwvaREHEzoukkkFPvS7TXNAKVYtfAJHhg9lazj0D4Y4LhOHXn6k1ou7N6aaW/tmE+MPN7Hw5/kqckq7vmGxY8GDOeB6ZKtqSztQoLrxvlJ5WThobOJZMIbQ895+30A/jZlMo6SZNwcUdMinm6gR6SSQW3acMV7cbakHNqHDO45uh2WBrVZmytmzyy8wb539FiuHHAMv1vxlvcFil1yXSRtm7riRYWx/dLpLxXyCtw/agohTRQeCCuDMS4YPBV9P+fAOpyQSuA3dAKuQV1SEfSJFm0i7PfOcdMcMyFzBSHikqP6cO9H1VT60lzy/9k773gpqvv9v8/M7Mz222gL0osgSO9dUdDYYozGfDWJiWiMYoyK3agkFlTA2AsxxsTfNybRfBNrxEKRDopIky5F9l64/d5t087vj713uQsX5SqIwD6vFy/uzpzdObvzmTNnnvP5PE+fltw7x6IkJuvizIOu2by4LsovT+5CKGXw7it7M4KvOGs0ebqXfN3LxB6DuHnJ25nz/cjQs/jdwHHctfx9VleW8MiqeUwdPB7VLkX3hFi/4gk6D76NyxfMyOqvVzMyRMTVJ43l9yvezGRI3NvvTlrpKpvX/oNOXc9jar8fceuKv2drRmx9hXt7/5plKx/NfGZlPJrOBBnyCI8uuT5LMyJkFBz+E5VDDscAcrTxdwxSKhkiAtKD/fz3UsgDpKQf8HOAF7ZsZPhok/85TzB8tMkLWzZmKA1NEbTyZ7O2rfw66peIu30dCCHSGRkNkB8UiFz9/nGJdEbETZjJCryh9ATcsqt5e/5kqh2HWxcvxLZ0Zr+x/zXQe6CHYFgQCglaFiooB4ghodB4zOVGu+MKZmU6KyLc/auzIgCqatKpxhWaSWs1nRmxw04/zJd5Y/y7pUm3uMqQ0vYINKCW5m4JBSlBwMqjTPdiuAbtzbboroYmBaayf2lQ11ovrZM6G4MJ4lrT0sjTuhF7iRWPVFhSWMWQSknY0ompBi1NBYmFxEe1auEi8TmF5NkaMe/bWHY7isty6evHElTNIJkopYWuE9QUvKrOHQtK+EH7PJbPys5wWDorxc96eiiJSYprqSMi0vtLYpJpC2y8HoVgOPuaCYYFoi6zMuL3oQnBbYsXoiseam2Lp9cswnQVbp9fQnEsHffFMZvb55dgugq31RERkBYZvG3xQjxC57WdSwFQRDq1viEqrUSjY/nntWVZugK3LPkv0eodXNbzRu4YMZPLet7IivV/45Dbgx1HUAQkbYeYky6vjadkozGh+1wm/Uhn+GiTh9euoTxlEvF7+Un3jjywpIzimM2lJxUybYG1T5xZVKfgrI7NCEqdOW+aWXE6902TSzsM4s/rl1Ng+Hhs+Pf41+mX8Ojws3hp83s8suYVftN7IDNHn8szI8+jtQ7r5k7BSpTTvesFGEIl4ssmA5J2iog/j592HZYhIgCi8SruXDEL1Dy6dT2PLRv/Q6FVxcyhE/nPKbcwc8TVtPMXcnPPiaxb/1e+KF+V+cx8fwRVUWkT7sJvR/+FaePf5Lej/3Lci1fmkENTkLtSvmNwJfj8gnFnG5z5Qy/jzjbw+QVNTVjQhOSyk9rz8Kfr+MWHS3j403VcdlJ7NCHr9jvcP6JzhpBo5de5f0RnNOEc0u9jKy5njzUyE4r8oODssQa2kpsMH2+wk0lc1yFZE2X7ij/TfcxdDLtsHpaQ/HDCqzjS5a5+g1EkjBpvMO5sg+at0kNUbbXE6xeMPdtA97kHJCIAbGFx9ilqdsydomIL61v5njl8N1C2MP1AlHfywSUAVtdIpJDUqlamTGOnZQEuSJel+V5Wh0s5f2dvWiR9hNhBwHUIpPIQCGJqc9qZJwBQI9JpvKl9xrmwpTKgIkipbrHT1/R6YgcHDZW6YZygrfJeszJUCWPKDGqFTsj2IilFInAVL7VagjwrhGaHiftmAzbLP6v90uPkcHTB6y3glFMfwcbhxY9vwJVpIqBA1xpdzc7XBT2KFDoHFaYMM5g62qBHUXqsLYlJqqTDwPFq5uEzGBaMPVtn3u4viPh93D9sAIpIkwqKEPy/jSsoM+PYLhkioh7FMbvOnWN/1wNbyswDo0ByZ/9hGUIi4g/i87r8zwQ9ayz/8QQPT63/cJ/PqiEvEAGlEFvmgVLI6JMmouamuN8ALnm6SsAHP55gsHyDxbDTjayYOOVsg1rFZMbqddyweAXlKZNCQ+OB4T0pNHSKYzY9Cw1OChmNxtkJQZ1O4SC6UA6YifPjrj0pTRXzg7k/5Y4VU0g4MZaVbWB15TZmrH4V1a3Fa5WzbuFDVO5ZzeY1f8PnK6Jk9Us8PPCnmfiK+Apo7S/gnv5nUmj4M0REPaLxKhK1u/ni3Sm0azOCRQvu4d1/ncWSd36BL1WNXrWHdYsfYniXH5NfZ+2Z749w8Yjp6K5AAGG9gEInQDghELW1SDc3zz3UEEKcIYRYL4TYJIS49UvaXSCEkEKIgQ229RZCLBJCrBFCrBJCeIUQfiHEm0KIz+q2T23Q/hEhxCd1/zYIISoP9/c7XpEr0/iOQdEkA0fofNhAJGjU6QaK1jQ2wpYu7+7YwoxRJ6MIgSslr2/dxEVdugBgScm7OzYxY3QXVKHgSJfXP9/EhXX7DxWkFPxtvcn3Rurk6YIqU/K39SZXD87V0h1PqC/PMBNleEMRqnevxtesJyWJ7TTzdWR7soK23gIMxc/br+xfnpGIS/xBgcfv4tW+fNhygRc27+D7o1qSr2tUmjYvbN7F9f1P+Ha+bA5HHK4pKVtqEeigoAUPLgurplaS0m2CikpIScfYNstCYqJKHwh4ud1ibls3nl9s7cErJ87E74KeasXS/F4UuW2xsCjVSim00u83xd7JqOrCqD1hHCFZ24TyjIZwcBAIPGiY2AgEpipZE0oyssLHrBYhBBV4kaRIAV6qtBT5VogaNw9X2YrjWcLKjQP43jCJcogz4XI4MhBCIb+gCxXxEqrMUlQhaRXQqDBtguHs9PpgWGAiuaGPzgf/2jvW3jDeYEZd+Ua16fDsuu1cM74tnUI+UCSOZtHbV8SM5gW8vnUL53TsSMTvRxMKP+3Wn59064emQKuAlkVItApoqAqNuh6oQvDUsMupNWuRAv6x+ROu7z2AsMeg2krx5/XLuLnPWMacUkVA9RFzEmi+EGVmNrExplVHqkz47YoyovGdRPw+7h3Ug7wcGfGN8P7Oz/lhl27oSHr09GB7JWO/b5CwoDIlEQGJ5sL1/bry6z5dcJFoCtSkLJr5vIxq4+fKTs344F+pRuNsW5Xk6WUmj59mNBqnqgovbfgr57QbB0CZWUGtXcEtvc+mrb8VHqFgJCtQJXTr9RO69bwEx06gKz66nvQjpKLx/PCrsXDxCBVNUXn8s+eY1OMKIv68LEIi4s+DRAXx4tV4VrzMGWc8j4tEVXUMPR88SYYOvhVXEfx87B9xXQuzcjvl7z7AnlgZnc+egSHD2H98AllRjigoxHPZVdCqNULJxeGhgBBCBZ4ETgd2AsuEEK9JKdfu0y4EXAcsabBNA14CfiKlXCmEKAIswACmSSlnCyF04H0hxJlSyrellNc3eP+1QL/D/BWPW+TIiO8aXFizwmT0cA2/DnETVq8wGXJK0x7e/arK+HbtuH7BnEyN5tShw/GrdR7gqsr4dm25fuHsrP1hNVsVMGklqTRNbCnRhCBf1/F6Dl5J069ZXNJHZ8qcVKZW8O6xBn7NIq2QkcOxDjtpZsozdF8R3cfcxWdzf0fcqebxZZO5ceT/okiBY3lYuXif2P/EpO8QD97AwRERAB5FctGJzbl3ydaMcvedQ9rjUQ5M6Enp4sQqkIqC6aZwXRtF1TFxcaSNJlQCeLFlClcoxIWOjUBXVAqMQCZTw3Vt4olSXARJdFBUXCmQyLq2/i/N6sjh0KDiYxs3CXm9Dv4WV1XjUqGlMlkRtpREHRspTDxOEIlJTK/mr+3XcNWWfpy3/ftUNn+IL/gZW1uOJCkSlKvlSCHxOumxzWyQGTGgIkiBpfFxfi0p9euljzukH/LqyQiAfEtjVos93Li5HX2rwuwOeMgz/ZQYNQhpUKXZtDTDfKwVocitpIxZqLUj+Dzq0qlNbgw+ViCEQp6vOdcOnsaq4n9z/8jzeGF1BVeOb5Yp1ajXjIi7kmWzskvhls1K8eszdSIaaK7LjV3bIHwS02NSa5lcP+fDLL2H17du4cGhI3BxKEvWEtZ1DI/D/SNbZko16jUjDNVixvCRFMdTeDUPSdsi4vdiO9XUWHGCepigonB5j0HpkosGWhD/u3kxL23OPFMwplU3/jDsbHbFa/GpGgnHpl0wn1/PW5axDY3GE9y5bB3PjR1KsNFfK4evgleFi7t0pWxPkjaGoLvfw4MrLRbsdGkZENw1RueZNWt4Y/sOIn4fT44ZhoLgmrmLiMYT9CzIZ+qAIfsJoS6blWLiaTqOR/DCCpOSmOTRj0wmnW1kyjPrM3He3v02/9PpPD4pW8srY17EIzxIXAxFoTxZSqlZSadwO7at+l9atOjD2ncmp/seitDvjKfQVIdCzYsaKEIIBVe6XNX9Up5YN5M7+13MvStmZTQjHh70fYJ2Nd7vP0peXkeEoqE4FooEoQhEMICPAE68ioRbix0vR9jp7DazJsrmN26g24jfIyvKAZAV5Vh/fgb92pshFD4yJ/EIw3ScYeWp5HTblRFNEdFCw3ujrqqLvsFHDgY2SSm3AAghXgbOA9bu0+73wIPATQ22jQc+lVKuBJBSltVtjwOz67aZQoiPgcZWrn4M3P0N+p7DlyBHRnzHIFwY3l1BPLcbWeaQV6Qy/MrmTS7TqLHjrK/cztOjx+JIiSoES3dvJORpRxgfFU45HsXm6dGn4EgXVSjE7TIqnCQBWgNpIuLzWPV+k4MOAQ6akIg5KYKGxbQJPlxXoCgSSZyY4xJqkj1IDkcj7KRJomYzqh7MOGdsWfokJ417ABOXsniUoGJQhUQ9QOzLIoHqlwdFRAAkHYenVq3iuv5dMytsT61axe+G9G20vZQu5p5NxLd/hNuxL3NnT8bra0a3QdfyzCd3ZwSprh00jd2b3sHb7kzuWPleZhIzfcgP6RxuAdKhrHIjS1fNpG2PX/KXLav4UafB3LtiTub6mTb0e3QOF+UIicMIKSWlCyyMZgKj5cH9zpYlSSRhVyhOpE4vImrbuAikSKG6zbC1HbiKwseFFcyKr2J88TmsFh1ZG+xF+9gWFuTpmWwHn5teCasnI3pU++hW62OrP0mZ8fUtZl0krnTR0YjVHSvf8vBRfjV7dJdR5Tp/CnsJ235KvCUgLao9Nt1iBezSCuhhQ9y7AH8szicbtRwZcYxBVTTahLoQ8uThCpdf9snHq7qc/kOdWMqmwkrhC2vk2xqL90mL9/mgo+lgTd+DW+bQoUjF/FUBu4WJK2DmmFNJuS6qEHiE4PzOXXhs1VLmRncwJtKWX3Tvx89nv8+57Try+KldkXVuGg4JylMpai0PDy8vyRDEU0d24qnPPmFu8VYi/hAPDTmDtt4Qz4w6H8d1URUFDbKICICyZC2mK3nok6UZ68bHRkzIEBH1iMYT2IdYkPt4gunYFJQahJ6II8tqEEUqt01qzs4+Ap+u8c72rbyxfQeQ/q2L4wlUITLnYU1FJTHTarT8ok1QYcriFOtK0+Pjgp0uEweYnP5DD0IqCEXieGKc6h+IrvkJqq34zcK9ApZTB5/BK1s/Y1nZNh4aFKFl9/PwOXuJ32RNFDtVTvSvl6OFI7S4YAZ687SGQ5dQe27vfQ2u4/Dc4ItwLRvFqzL7k6msj84h3x/hR8OnsWfRTMo+n4s3FOHkM2YQKOyClC7liV28NX+vFe+EkXfD/CeJF69GGtkuOLKiHOzj01LcdJxhW6qrX7t18YJmdSRmh6lDR7zWKRw+9xsQEm2AHQ1e7wSGNGwghOgPtJVSvimEaEhGdAOkEOIdoDnwspTyoX3emw+cAzy6z/b2QEfgg6/Z7xy+Arncoe8YDEcintuDLEtrN8gyB/HcHgy7aTdVTQie37iQc999jPPfe5xz332M5zcuRKt7CFKFiu06gEM6sd1JW3OJvZPTStPMEBGwVyiq0jz4WmcpFH41/x3Om/US57/3V86b9RK/mv8OMifsc8wjnRFRxupZNyGEkhGs7Pm9p/AEm6Gg8MQZC4k5Lp/uqThg7Ov2wRMRAKpQKPIagEyze0iKvAbqAWLOiVWw+9Ub8Jw4mrmzJxOLRenW+2cZIgLSnuGPL5tM6xMvzBARkK4zvXHJK1SkYsQTpbz14WQ6dP4hd37yHme1650hItJta5i8+C0qUvFG+5HDoUFsq0tqjyTcUz1oodzqOoX+Mi1F63q9iLpJpCSJkAXY6jZSCoBgduu3KPFVcdKeXpxSvJEOsbVZZRdeV0UiMYWkY63BgIogxYbJpmDyG38/ByftqFGHPCvtrvFxuJYOCUE41YyA7SVNXSSo0lLoUiNFEUU2pJQUeOayeouN1cT7Sg7ffaTMal5/7woSVowbFizk/P++y+Rli9lkVuLqLnE3hYW1nxjh0IEa1uPZ46/+dAXNHZ1bFy3HkpKN1V+wK1HKF/FKamttbuk+mjdP/R9+c/JQ/rRuLdF4nAUlUTZUVVCWSpJ0LB5dtYCAFuaeRTuyrMRvnb+Fs9r1AtJj481L/ktx7AssuwpXJrDsKhycdPp8A0zsPoabF8/OsgDdGash4vdltYv4fSgiF99fF3kpL/bjpVnxIJ/YQ7wyxaQ5a+mUH05nPwwbyLNjR1BgGFiumzkPPQvy8Xq0RkUvv6h1M0QEQMuAYHNtlJ8umUqtUkwyuQ4r+jGb/3MFSVdwy9LseeitS//Lz08cxR09zsVjBlHdZmDkEWqRjqeiDmPAG6bg0ucInn4DFfOfwYmlbToF4LNtvJUVBKNRgrVVvDz356yPzgHS7hh/XziZou5nA2liY9V/b8BKVBCPl2aICICaWJR3lk2h+fBfoYciiFS2LpUoKIQmzF2OJZSnktPriQhIa8TcunhBs/JUcvrhOqYQQgFmADc2slsDRgKX1P1/vhBiXIP3asDfgMfqMy8a4GLgFSnloRXVyyGD4/Mq+Q5DODIz+NdDljmIJjL8QVXnwcHnc8vS/8us4D44+HyCarrcI6zkUSUEV83/d1bWQ1jZm05mS5m5AdQjGq/BlgffF9mIXVc0XksTPiKHoxCZjAiPn2RNlER1MT3HP4weakeydjveYDu8qOxIVtPCCDE2vx1WzIXGYt9pWrCoAn7e40RuX5T2Oo/4vdw/rCfqAZ5LpWNiV0eR0iVWN8nwGHlZnuGQJiRc4WlU+Mp0HTTXpiYWRdMLiMaryNN9jV4/Zk7U6rCifJmFokOg48Gv+tfbelZqJpG6MXKTmULioLkeBAJXKQHpRXd0etX8mAUtAoyP7qZ5vDMlfjct3F8XY15HwcTlpGof/SoDlHss1uR9PZ2IfeHgYGBkjqdLhYCtsKyojFPKQgyrCPFRMxWvo5FSUlRp6ZXKoNUCv2OASOEY72DWnMn67Q69OuWmAccSHCdFTSzKrm2v8cCwC/jT2o1c2KUT9y/fkBkPHxh2EmPPDjDnjb1Winlhgd3I+GumHKLxBJbr8sjq93h2xKWosQBz3jKprTbTpR8TNC478WTyPDpntOvOA0sqKI7V0iqgcduQ4UgatxIP6/7M62i8Bo9RxDWLnsjYKc4cfi0PDv4Btyz9V2Ye0zZQuN+c4vl1K5g6bAS3LvqIaDxBxO/jgWF98YoUEDpsv/WxDM0RpBqJhyKPRnHcpIXPx1W9emTF1V2Du3Pv0P68uG4TF3Xpzh9Wle1XJjTsDA3HlyYg6kt3bx4l+cvWOTw06DLCqg/XE6C8bAmarwjbdfe7jxbpfox4gG3velhT97mnnh2i0+jbKNv4Xwq7jmfWB9cSi0UJBCKMHnY3SAcpXcoqN/HmvOszmQ3nnPIUlfvc6yvjUVTvXhIsWRPFdUxcnAwRUY+aWBQt3Iou5z2BZnuxCwqzNSMCx2ehkO3KSKOita78+j7G8AXQtsHrE+q21SME9ALm1C1EtAJeE0KcSzqLYp6UshRACPEW0B94v+69zwEbpZR/aOS4FwPXfIN+5/AVyM1CvmOQqkAUqVmEhChSkU0UGqt2Y3xStoynR/wYKUEImFf8IfmRoQQIUu02nvXwzKjvE6grn9CEIOIPZd0IIv5QJrviYCBEWhW74eQh4g+Sy1I/dlGfEeHaKTQjTFGHMfjCrdjz+Tya+fLxBtsRc6qxRJATvGEcS+e9N5KMHq6R10jsu02sr3ek4IW127iuz4nk6R6qTIsX1m7jhn6Ni7MKVUcLRxBCIRCIEItFsVJVGc/6ehT5IyjSalT4SldUVKkRCkSwzQoi/jyqzESj14+eE7M6bLDjkqpVDqGuKorn4AeZqhq3zknDpGUdGbHFMkGY6G4YiY1QaglZJ9CvegAaNoW+yezM68SAknNomTiRi3ek+DQvRqVuc0Jcp2VC0MEJUmKYrM6L4x6iMa9exFJDxSZ9reRZHoq9KdaGHAZWasxvFiRsB9htxKjypCeE+an2JNQCkMUkPCvI12J8skHNkRHHGBQUOrYZwwkdxvHPHf/i+r4X88iKzVzXpyst/QZe1UPSdlCCLhMu1MEVoIC0ZKNzj5RIr3brisLjwy7B7/p5541sG8al7zh0HS+4pFsvnl1ZxXX9mhPWNapNm1fWV/Gb/n5a+fUsQqKVX6fabChoGWJPsoobep1P2BOg2ooRTZbz0qY5XH/ymMw2hLvfnKIslaDA0Litbwi/pz1xq5x31t/HpSc3zNLOoSmw1cbjoSho8PIZfQjqDhPrCH+AQkPHq6rk616u79OXSR/sojhmU54oYeK4QpoZHvwG3PHRKoq8Ovef1g2PouFioqs2F3cawswNf+bmXleyY8NrtDvpEjzdzkJpMA/tld+Sn544gF6B1nzwanYMfvCGw4QLO+I/+RJsIRgx5iE+WvoQZaWrmLdoCmec8TwyWZEhIiBNJFTW7iDfH6EyHqVN4ckM6/Ez/EYhqidMqEUvanavxhuKoKg6qnQ5Y+xjqJoP06xix44P6dR+HA4Sy/Bi5DVLa0TYdjojIhA8bsUrNUVEI35/h31FazVFRL/kbV+FZUBXIURH0iTExcD/1O+UUlYBzepfCyHmAJOllMuFEJuBm4UQfsAExgCP1LW7F8gDJu57QCFEd6AA+CZaFzl8BY7Pq+Q7jJQG8srmiKL0qp4oUpFXNifVxPmiJjz0KerPVQuf5Psf3MtVC5+kT1F/NJGuaXPcxrMenAYZGPm6zoNDziDiT68s1GdP5OsHL6YppMud/Ydm2XXd2X8oQuZWh49F1GdErHjtCj7+z+V88vov6TDgChAqocLOKFqY4uR2vGoBIcXDrpiH8lqZFrZaYe8X+9q1zVFCTXuKE8BFXTvy+Mc1THp/N49/XMNFXTsecLBTAwW0uGAG1vp5jDllGoFAhA2fvshVfadQVGfhVa8ZsWv9P7mvz2mZ1OF6zYgCI4Df14zvjZrG55tf4d6+p/Hm9k+5s9/YrOtn2tDvUWD4D9CTHL4pKlfYSBtC3ZumhVBdK0l6LJprOppQSElJTKZLNDQnD0fdRb7ZloHVwxDCQQlOIqR8RNLpRWv7LbYEviBsaZxRUsjFO1rQsVZHlYLV4RifHkIiAsgQEHqDtYQCy4OlSDb7qzGkoEtNhLDlA2yqtBgA+VZztnraEHIgpbpoxlw27HCIJ3NpascSDOFhUK8riJs1/HXrK0hcLuzajre2VhIzFSbPLWHirGJ++V6UjfEE963+mE2JcqZtWQKTCrPG39RVRTh+nWkjBnLH0jn8esF72DaN6gAEVA2fpnFR12Y8uxQmv2Px7FK4qGszFAG3D26TZSX+wIhOvLl9NUCdZsSZGIrGI6vmctX8v/HIqrl4FS9lqRpuWvYnfrnwcW5a9icsJ8XUIWOy5hRTh4xBCIenl17F9AUX8fTSq/ikeA4uuazqrwvb76Jd22yfeGjOzYtMbn/PoizuYUDztG1mz4IwN/U/kYSlMumDKMVxO+OosqY8xfULo/xk9g6iVoo1FdXMi5YiFJuUW80LGz5g4vy/ItEpS5WDFIS6ns/ERc9w/pyH+efWuTw45AzGtOrAr3oO45FPP6I8kWo0BkvjMc774AEmLnyaCk+QgcN/S1Gzk4nForhIHNfcL7Nh+aqZ/Gj4NE6MjGFU72v485rp/H7+L3hwybUUjLiGog5j6DV+Gqo3j3K7gmdWP8DvFl7BzLXT6dL9QpZsfpXH/3sBf5o9kd01W5DBIKKgEBEKH7dEBECh4b1x6tARpRF/er6TFskfUVpoeBsroTgoSCltYBLwDrAO+IeUco0Q4nd12Q9f9t4K0iUcy4C9zjILAAAgAElEQVRPgI/rdCVOAO4ATgI+rrPxbEhKXExaXyJ3ozyMOOJLIkKIM0iLhajAH6WUU/fZfwNptsoG9gC/kFJu+9Y7+i3BEQqLP7PoNbHFXkeBzxwGRTxf/eYGsCXcsuzPRBPpOrloooJblv2Z50akM41UpfGsB7VBBobX46VDAJ4d+f2v7aYhBfx9y2J+07sPebqfKjPO37cs5sbepzfp++RwdMC2ylk96yaSNekbfrImyppZN9H33Jl8Nvd3dPv+TJ5YWueg4QaZMifF9QN0gmHBnhLJ+x85DJrYgoAXvGEFEZJonqbFvkTlgSW7M5Oh4pjNA0vKeHJc49mBQijozbug+ouQisKEM57PuGncMeL5LDeNFj0uxhUqz4+8ZH83DaFRlN+VMQNvxkVw88njQNF4dtT5OTeNbwFSSsqXWujNBEazpk0Cq6pcStVURrzycysFCCRxpMyn0N1D99rTiasJtoSfZpizmYAJOCEEsDmYYnl+OXm2itdR6JYIU+6xiBrWlx32a8HFRUqZ1o0QKQAKzfQ1sjNQw05vPsMqAmwLpieBtVotlnDIt72s03oyyvqIrV5IKa8g3e+xeovN4JOado3l8N1FSlq8Pf8mBgy4iYivBUiF+5du4Tf92vHA0tJ9xsVyru3fgXuXf8qjowcTFxp7rikkpAjKbJcnN5VRutZhxtgWrK7YA8D2eBXBsH8/G8aYY5MnDaYvTDtnAZTEJNMXWsyYYPCPLUt4+tRT2BWvpMqq5Z1ds/lVz2Fc3LUn1VaMgEfl6gX/ydLjuWXZ/3FL7wlct/S5zLEUReX5dXOz5hTPr5/LjSeflvU7FPkjqDnHrq+NatfmkV3LuP2WoQTwsKVG8uQ6m7Vl6XM7ZU6K+0/rxBvbovyke3vKky7Tl1dQHLOpTjmNWrxWmenxMOL3IpH8ZtH7PDL8VF7bsZJ7V8zi5j4/QwqVm5b/JTN3/euWOUxoM4Dre4/mVx++QzReS4WVIBgO7ReDpVYlkJ7v3rTsLzw99Bf0OPlnrFg6HVXVEUAoEMkiJBLJUvKMFkwYcAv3z788Syfq6ZVTuG3YE3g9+dSaVTy65Pqs/U8su4nLet7I+uhcKuNRXp5/PRNP+wtBb9HhOzFHCXRVXdQpHD73mTGnHEo3DaSUbwFv7bPtrgO0HbvP65dI23s23LaTLymglFLe8zW7mkMTcETJiIP0jF0BDJRSxoUQvwIeAn707ff220FKcencX2ferL0WR4PGG6S+xJawMTjSzQzm9YgmKnDqMhL8isaTI87DdhUEaetBTXHxK9kh4fV4adUE8mFfaCjc3HsCjlRxpCTiK6Bn71aHonQ6h+8YXNvFde0MEVGPZE0U6Tr0u+DvVNvlTBn9KtWOje2mJ6svrrG4YbzBslkp9pRI5i20OeVsA18eaGrThyjHlVmTIEhPvJ0v0V0RQkELpicQDR/LAvu08xxgez0URSMYaAXA8WnmdeSQ2OmSLJE0G9m0mDFNSbzOSaNtnXjlilQ6BVwgaWWpdLC7U67t4dPQZ3RWF+K1IZwIg51OQa1W/SCgyuNQozl0SylYyuHL/nJwsjIj/I6C4QjKdYt1wSSnl/oJ2q0x3G2kFJMqLUXY1qihIy0s2OoDU9tIgT/BJxuVHBlxDMHFpSYWZe2aF5g25A7iTqpOn8HT6LjYzOvjuj49UVBIunD54v2zqFWh8syoc7BdB8MjOPVsgw8a2DAOnqBi+m0cSYaIqEdJTOJI+EX3gSjCosou5cXNH9Ap0AqvatDM0CjQgziu26geT/e8E3ht3O9w69w5DEUwt3gDc4s3ZLW9/uRxTBr6HLoWwLRjRHxFBNUDjdQ5fBUcVxLy6NT6oMYVXPN2tuZHSUyiKSozRvahTcBHedLNxNf/W1fJbYOb88DSPRmL1/tGtOThFWuI+L3cPrAblmMTjdfiV3X+furVmI5Dnu5FSJsbep3PixvfZ3Vlet1x6qpX+F2/yzKlOc9uWs4dE07ho3dEJgYHTLD5/ebXM/2LJiqQqBi+Qsad9gSOa+G6Nt8/9RnmfzyDrV/MJRSIcNboR/D5C4gnShrXiVJUNF8e1gH2e/W92hKV8Si2c/AC78c6dFVd1MofGH6k+5HDdx9HOjPiKz1jpZSzG7RfDFz6rfbwW4aUgj9vMDnnVJ18XVBpSv68weTqwQdfGgFpR4GIryCLkIj4CjKOAgJBrSW4beHqvaJWw3sS1g4tTaArGtFEitsWLW0gLDWAiM84pMfJ4cjCtV0o3o0SVvGGIlmEhDcUQTEKqI5tJxDoyI5ELa18AVIyLWK1rsxlxkqTn52qU+QVFAYEAb9EU7/eqpZHEY2uyniaqLuSw9GF8qU2QoNg56bFTWV1mjQo96QYquYDsMFMIlHplGxHBxuK9c2sCX6GFCp5shSvC67ViXw7Tq1q4Ch7j6m76b8tcbjJCE9GxFIgKDR1ynSTWq2apOKjT2VztoT9pIwaqrUkeZYOhLGd1iB3kVQgGFrF9uLBlFe7FIaP35TiYwmqqhMKRNhdtoqgY6Ea3jp9BqvRcTGsa/x26Rqi8QQvjx/XaJvtNUlu/HArrfw6dw5pz7Ofr+YH3+tExOfHwWWnWUNI0VDFXmHCerQMCFQBs3Z+Su9mrZix+t88MngiluvJrHRH/EEeHDKWSzsPybLyvLHXaexJ2tyWJUw5gBt7ncb01e9l2kX8eUgJUz5dkhG6nDbw+zR3cuWgXxd+TePCziexvaaaNv7CA57Xh5fv5Df92uJR1EzsrClL8dyn5Uwe2IxIwEM0ZhEy4K7B3SlJJPjnpi1c07s7l3Y5iSrTzhIevX1gT97c9hlX9ziHp9a9zurKbZSlqtEVkdEKWV2xh/s2zObaCUNo6w+hqpL71r2SIS8gPd8VOAT8LUnFdvP23EkZ0cozRz7E6AE3o6ge/N5ChFDwKHqjOlG6x/+l+5PmXgIt3x9BU5s2V88hhxyOvGZEY56xbb6k/eXA243tEEJcKYRYLoRYvmfPnkPYxW8XPs3m8v4ePHVnxqPA5f09+LSmeRXnKQYPDfo5EV+6pi/iK+ChQT8nT0mTAHEHblu4V3woGk9y28I1xA9xiWXCkZmJRPo4CW5b9BGJJjokHKs4VuKWmlqsF/6NWLKZXuMfxhuK0OrEcxn0o1fod8HfsexqAoGOVLs2PkVDWDo+Bx4/zcuIExTWlbk88pGJ5QHD53xtIgJAKBZTR7Vg2ujWPHlqW6aNbs3UUS0QyqFPmT9e8V2LWyclqfzEJthJRdGbRjpVVtfbeiZpo3mRUlLrqHRK+emYakGJFmdVeDau8GCIKD4JHgllcih5dpxqLVsDxJDpwds6jLaCNg4KCmqDW3iR6cFUJbUehzUhi75VGqFUm7qMjQT5loHEZZF3LCEHTAVM+TIAKzc17f5yNOK7FrOHC0KojBs6hVAggqIVAAqPjjmRfF3j7mHNaRVIr0G1CmhMG92SmG3x2MjR/P30CSQtybQxLTNtRrXxM3PMCfTwB/i/8b0Z1DLEvUu2MaJNK34+fy4/XzCHVbVl/HLuQm5csAxds7h7rEHLQPoabBkQ3D3WwNAsftBxMJ2D7Xh0yDUEND+3LpmTZc95y5I5XNRpCH8c9RMeGnwBY1p1ZWykZ6Pzh1Nbn8yjQy7jueG/4tEhl/HIkIv4w+psy+XJy/9N9dfIrPuu4UjFrelInl+3Fo8w8KoK9zRyXhNOitsGdaTIa9A1z2DmmDa8dkYH/nNmByb1bUZYV3hmZRleTVKRTAEaJwTC/KZvL/6zZQsXdu6ZISIgfX7vX76Gs9r1494Vb/OzruOI+AqYPuAn5M17gYeHjM1ohZSlErh6klJ28a9ND3FJ52FZ892HB/0UP6A6Dm8vuj1LtPLt+TcTr9iM5qazIgFCRgHXDXkkSyfquiGPEDIKD7j/2sHTWLUlnY2R749w8chH8BsFh//k5JDDMYajZqQWQlwKDCStgLofpJTPkbZmYeDAgUftk66KxGcKFr+3NwXylLMNVG/TvpJ04gQ1L48NvRJFCFwp0YSKdBJAoM62M9vzPhpPNsm282CQPk5in+MkDvlxjlYcC3ErXQm2jayoRkiBTymi3/kvkozvRmg+YnUZEVuTFbTzFhBP+XinQYrv1WcZ/KSvxO9RCHhMvNrXLwsC0g9ors4Ti1OUxCxaBgT3jDVQyaVPHip81+K2cqWNazVduBLSZIStptPPA4rKxlSMzqkC2pkBSlSXdf5PkcJAkR5CYiN+F3QHNntGM9aeQ6kn2zrQcOvJiMObGQHgQcOpi+tCK11qUa5blBg1DJBF9Kjqwta8z6jw1BB0WqO5Cbaqvehm6nzuM6m0ltGiQLJyg83Yfh7EMaxn8l2L2cMF20my6JPHOXP0Y1Q4hdw+t5jimM2oNn5+2aeAyQOb4dUUFCQISJpe7p1tZWwW7xnr4a6hzTA0hQLLw3uv7h2rJ57VFthB2JNe1IjGE4R1T+bvmO0yv3gH0yacgOsKFEXy9rYdjG/fgms/nEc0Hifi9/Pg0BEUGb4sR4xovBbLdZj44V+J+PN4ePAFjc4fCg2DqoSHJxfm1/XZ4O6xHsqSsax29ZbLRzuOZNxe3Kk/MxZASSzF8BMUHjo9rfXgSomLRcKGB5eWU2So/Pbkliz6716r2MHjDURQculJATRFcMf8ykzJxh1DmjHuhA4IRKPzwzyPn2i8ii7Blsw48RTa6D68Iy+lsz+fP439HknHRhECXbgkKjcwvs1ZaNJm5tArcISCJlQ8iT1s+eAB2o+4vlE7TqH5cK040nURioIiFNqEu/Db0X/Bdk00RSdkFKDUkRWN7Q/oeZwz6E7OdG5GU3X8DdrnkEMOB48jfdV8lWcsAEKI00irnZ4rpUx9S307IrAtndlvpLIsi2a/kcK2mpb6VSMUrl70NBfOfpALPpjKhbMf5OpFT1NTN9lM23ZmP/RF/N4m2XYeDNLH8e1zHN8hP04ORwau7SIrqwEQV/4AOawTpmbiuiZL378JKSSBQDsq3BTtvAXYlme/+J77ZorKarhpVpKk/c1r1y1H55452SJq98xJYTm59MljFeVLbfRCgdGi6eNKZZVLuSdFGzU9Hn5c7tDODLBDL2GrR8HxRIH0w1eIzQQcKEiCLQzCjWVGfEtlGlJKdLl3PcHnKHgdhTLdxlQtvjAcBld60c0w5Xo1CoI824MrDFJ2bxCQEFBU+DmlVZIv9uRS2o8FqIpOPFmK62nJ7fNLMiUXZ3YMMXluCZPnFjPp/V1UplyKayXTFlj7jZVVKZfqWpu5b2bbJ8550+TyridQbaWnYRG/j+qMKKEPBXj98yjnv/0hF7wzj/Pf/pDXP49iuy71Fn/ReJxbFi/g8h59s/od8QczAtrReBU3LX0VTSj7zR8m9ujJPXPMrD5PmWNxxYnj9/m8PATHLOd0+CGNOiIi/Rsu3Oly87tJtlSl+PFb27hxbgmVqbQ+08TuhSz6r5Vt9zorfV8Pal7umJ8tnHrfklKqUgLY//xG/D6qrDgRfx7Jio1sXTQVRdEQoSJUVaXI66dNIEzEHyIgbdbOm8LHb1zJ0tcuY8k/zmLNm79AKVvHylcuoWb3auxEOaFAtnh1KBBB2gnYsx1ie0uZFaGQ5y2iyB8hz1u0H7Gw735N0Qh6i8gPRAg20j6HHHI4OBzpKyfjGSuE0ElbqLzWsIEQoh/wLGkiYvcR6OO3Cuk0bptFE+eJ9gEELO06AUufCg8M75khJOo1I3yHWHw6X1XSGhF1N5z6ms989UiHXg7fFPU6EdaTf8OqqsIssljx2hUs+dt5mPFyErVRtDorz7BisCMRP2B85+vpelR5CKRN64UxG6JeRC2HYw+JXQ6JnS6hE9Umr+w7rqS6RhJV47TWdLZVCcLxAqKeOJuN3SDAEaUgDcAmLIvxuZAfD+F1LQxpN1qmYeMiDzPf6uCmHTXqkNaN8FCu20gh2RiIc0JS0KV6IOV62jWpyAwgibPBMwRVQkIB4XkfVYFPNh77pRrHA/zeAr43ajquzBasDBvqfq99mtroWBnWNQo8WqNjtSEU/vrZRiJ+H3cO7MNf12/K3Nc/3LWD+4ftP694af3arM+JxuO0C4Sz7DkfHDI2na1RhyI9QMK2uHNgn6z5Q9tgqNE+tws0y7JcvrPfeJTDSAge85DigLEBaVLBq6XncQV647ES0ASqojQqnOrTVBwXbh/YK+v83j6wJ29uX8H9fU6jdMOrDDltBoav8dIHw1fAkNNm4AumyQZfMMLgcdPYtnxmps0XH7/I+MF3ZwiJUCDC+CFTCGr58O5MZE5wMoccjjiOaJmGlNIWQtR7xqrAn+o9Y4HlUsrXgIeBIPDPuonmdinll/rJHs0QatqiaF/LoqbSRtoBBCy1OuY27jrM2rGeGaN6oQgFV7q8/vlnXNilB3kH+tCvAduuoLkGT48ZlrEH9bhV2HYCaNxqMYejBHU6EbKiGlp6Wf3atRnhSs3jwxeMEHOq01aeI/7BrYsX8uLIMxuN70oznSKsHwIyTFMOLKKWw7GH8mV2etzs0vTgqamVuBLKPCnapwpYWy7Yo8VY7y1FlYW4ohSpSBTHwMsuvLh4JGjJboSN9Epv1X6ZEcphzYqoh7uPowakdSN2+VLUaA6qHiclggwrL+Tv4XS6eoEdwBXb2Kl1oqXdkqRWQnHVHNq2vJJPN9mcOVRHzV0oRzWEUAj5WlLpZgv57mu3WJ1y0A8wVlabNqaEYFjdb6wWKtw9uA8eRUETgt8N7ktxopz5Jcs5q+0wVAFPjumDLSWOdInbJstLs9eRIn4/VVaCR4aPQxUKjnR54/M1XND55Eybid3Hcv3CDykyvFzXpwdhXSdpO+hq433enSrm+pMHE/bkUW1V8fLWl7mj96TD8hsfFxDygLEBac2RpJ0e5ypMu9H7esyWBA8gKJ2wHVRFJeBxmT6yP7brEPQYqLjccvI4Atgow2/H8BVkdB3266JQCBd2YfQ5L+K6JoqiowgFK1GWaVOzezV7Vr7MBeP+mLbslhKtvAT59sNQU4bICU4eVRBCnAE8SvqZ8Y9SyqkHaHcB8AowSEq5vG7B+1nS5f4ucJ2Uco4Qwg/8E+gMOMDrUspb6z7jMtLPoPUZ+09IKf942L7ccYwjvjwtpXxLStlNStlZSnlf3ba76ogIpJSnSSlbSin71v07ZokIAM1jcsrZRpqAgIxmhOZpGnubr+g8NOiyfQQsLyNfSQ+8juvy0qY1/Oi9V7nw3X/yo/de5aVNa3DcQzuJdqXD314/i1f+M5J/vzaKV/4zkr+9fhauPPprOY9nuI6DpSRwfzoWJp6B6zpZDhqulWT0eX/HkTbndL0SR7rc0KsvrubuF9+Dxhu8vsXid6cY5Hu/+YNQUEs2KqIW1JJf8c4cjja4pqRihU2go4L6NWKnsio9eTaFoKLcB5rJGl8likigOc2xtM8RUkegExBb8LugSqh0B5FXb+vZSJmG1UQr5q8DGwcNFaVBCkaRmS5z2qPbuIrks1CSftWgml1JCZsi04fAAelS6wzGEVCa2ka7VkniSdi0MzcuH61wpaQsYVMcs4gRxKO43DeiRUaM8u2tNdw/smXW61YBweQRnqyx8p6xBitLK3lu/U4GT9CyxuqxZ+mk1BSTFv2FSrOKp9Y/x7yS9/F7BP/ZsQhHOty6ZA5fxKv59fzZXPzu2/z5s7VMHTqCiD99ndRrRsxYOY+L3/9fLnzvJS5+/3/5pKwYRXp5dsSV/GHoT+kUKiIaj7O6opxbFi/gV/Nmc/3CeUCKKWO1rD5PGeuh0Kswfe2TXLn4N0xf+yRXdb+UAuNQLq0cZxAp7hmrZ/3Ok0d4eGltOa0CGlOGt6BD2MPTp7VGM2DEmXpWrAweb1AQhjKziruHNcsSTr1jSDNaBVQkKX764cNct+QJEnYZzy+fhEqM5oEC/IHmeP1FByQiMt0UCl5/Ef5gBMNbgOZCr/HT8IbSi13eUIROg67C72tOMJZAfeZq3OeugpoyjJ/OgEBOcPJogRBCBZ4EzgROAn4shDipkXYh4DpgSYPNVwBIKU8GTgemi73BNU1K2R3oB4wQQpzZ4H1/b/D8mSMiDhOOGgHL4wUuIIIWEy70Ip10poSlmk2t0kBxTYqqdzJzxNXY0kUTCkrpBhQ9PSFIazkEswSkIv7gIddyUBSNUCCSJSAUCkRQlFzoHa1wHYdY+SZWz7qRZE0UbyhC37Yzsyw99XB7qmPb8QXa0LJgGGHNQ8tAMya+u4uBLXxcfn4hhiJAEViK5LphaSJCOSTxZ+PXTe4/zZPJ+lEVE8iloR9rqFxp4yYh3OPrjSeV1S6ukHRMtsCrwrLgJqRbhMBCoGOrxYAXEPjFNkIOBCwo0TuRZx2IjFCo0g6/c0tDEcsU6eN5XZWQpbLHsOgc91JsxOlT7WNwRXsqPDUUWD7Ahy6ifCH6cYJ8k4RwUfXlGJ7hfLLR5sT2ubH5aIMrJVsqTW75sDhLJPCtbTu4cWBL2gT9lMRrkSLOjYP8eFUP1VaK/7fxUy7o3J3pEwKYjqQknmLm2q1c3ivCD7s2B+Ey4UIDx5FY0qVWSRBC4YlhP8RyqpjY7SKqqz+ntcfHcyOuQaBQlkrw9JqP+E3v3oR1g4Rj09xr8NiIwSB0PEKAcCkz45n+98pvyaSepzPpg739v2+EyuhIa+ZFd2XaRfx+hJAUal9w19AEihbGtasp1Hz4PYW8OOIRTNdCVzwUGHm5Gv5vAF1R0DSbSUMFPk0DJJGg5K7hLdAUSNgukz6IZs7XtNEtGXauSsjjASHZnkzy6PLPKE+Z3Du0B3cNyyPP8KIKgaFIXt68igu7nMgrp0ymKlHMa2vupypV+rWtMaXrIks2kfrLDWihIvqefis0b4fi8aP70/adsmUXvFe/iHTMdEZEoACh5GLkcMF0nGHlKXO67boRTVGihYZ+o66qi77BRw4GNkkptwAIIV4GzgPW7tPu98CDwE0Ntp0EfAAgpdwthKgEBkoplwKz67abQoiPSesX5vAtIjfr+I4h5qhc8/6u/VLanhzXmtCXvG9feHwF+ANFrPq/n2UeGE8+YwaeukyJPFXhwSFjuaXOXqu+ZjPvEGs5qGicNmQK7y25O+PxfNqQKai50DtqYcXLMkQEQLImim3G6H32U6CoqJ5gAytPi8pEnHxPAbfPT8f1G1treGNrTSauWwW+uWhlQ9Q4Hq6ds5Hi+N5solZ+nadP7ULgkB4phyONsiU2ngKB0fLrkVhlFS4pIVGEoEeewxuuiwI4KHgARy0HGQLpEmAnQQeaJQSfegppm9iJg0KtulcIWJUCjW+nTKOejNAbkBEAzVM6WwOJdB80i2LDZliFyuY8hSLLi0AnpezCpA2204248hm7a5bRsfUo1n3ukExJvEauVONoQkXSyRARsFck8Nr+LbhhwSdE/F5u6t8RQ/ER1B3uWjqfaDzOJV26UWAY/OqDNVnj5cbKONf1a82ti1YR8Xu5rm8Xbl24mojfy9Nj+/BZyQf0ioxBIigId6S8ciPh/PYI1WDqkLHcumQONy/5gIg/yNQhYxFCUh3fhKr6UZAU+SNMHTyBW5e+QzRew8TuI7hvcWVW/+9YsIfHTh3Ixqr3Mi4c9w44GZ9M8OqcSfstcFww7o8UBXOln4cKpqsyeW60kblohC1VMaYvr846X5PnlfDr/nn8YdF6bhp4AjfMX5l5352L13Fd3/bcvXw+dwwYyD82r+FHXbqgkuKJRVdQFo9S5I9wdd8peL9C3MmVLvFUBbZjZjtYxCpI/eUGZGUUKqPwp+sQ+RH0q1/MZFcIRYFQ0SFQpsrhq2A6zrAt1bWv3bZoebNoPEHE7+vwwLCBr3UKB8/9BoREG2BHg9c7gSENGwgh+gNtpZRvCiEakhErgXOFEH8jbZwwoO7/pQ3emw+cQ7oMpB4XCCFGAxuA66WUDY+fwyFC7onwOwbHlY2K/ThNnNsKoRAo7MKA81/EdUwUVcfToPbOlSmCHnh0xKkIFCQumnBxZQoO4SOb4yRZ+dHjjO13I7qRh5mqYuVHjzN61H2H7Bg5fLtwXSurJCPcohcebwHJ/8/emYfJUZX7/3Oqqqu7q3t6mZlMprOHbIQskJ2shEUSQUAUAe+9uIEL7oiAgKjXq0Yum3oV/ClRWRRQES8QhXjZQwJZCFlJyJ5J0rOvvdZ2fn/0zGQmmSzAJDMD9XkeHqaqTlWd7n5z6q33vOf7ZqvJZRvxGbH2Up4DAjFigWJMp3vs+nhwpOjkWANUZkycE60o6HFSyewvCFeWzNTeVUlKx3Gpa5TkFYEdbqRCccEJAC6qG0GKFFJYqK6fgKgmJPP4JZSlwzQaUWL2Vpq1IHS4d1tZT/MkBCMkEkc66PhAHCyP18/U2RnOUqvbJPI6O40Msxoi7CwKEbMkQirYQhJ20zQrM/EpW9hTv5z5I29gyx6HDTtspp3WvQFCjxOLdQS/IdpedjPHkHARAdUhqOn8Yu48AopKfd6hOpvvcryMdDi349+WKxlcOoc7Ny3mpeoVJIJl3DnlVh7ecAdXTPgBPkXh57PPQyCQSGzXxXIcvrPpNySz1SSCZdw15Vb6KQF+PecSHCkRMkhlet9h/cd1+em4fmj+Yux8PTtXfY/B837UZalGx1v62a04Lkd8Zkd0vctjEd1HZcYkoHbW70lmcpwSiXD37DPJOVkuGBbnf7b8jEWTb+Lmmb/GtFJYLUmql/0PiXOP7Bu60qW6aTuPLruOxkySmJHgyjn3UBYdCbZZCER0QDYmC1kQ7/G78Hjn1OfNu9oCEVAo2XrzitWl982fdVe5EZx1Iu7ZuuzibuAzXRz+HTAWWA3sAZYDTodzNeAR4BdtmRfAU8AjUsq8EOKLwAPAOSei7x90vGBEL0NVBHMHGnxsaJS4rtFg2vxtTxPvJmFBCAXdKOnyWIna1SMAACAASURBVEpK7tn0JB8ZPIuoHqLJTPN0xXJunHBJt84eK4pGLlvLyy98u31fyFum0adRFF+nJRlDJn0GV5oEwgMhGMOnRmhw85TqYbKOQlzXCbgqD509mNq8zf1b6tlUn6c8pL0ruz4WqihkQhyaGeHp8r2/qH/dRmgQHvXuVE+Xve2AhD2BJob5FVbJJEKGCboWrtsfW92OQAUZIKisK+hFuBBpOQU3pBKz0zT4wp2uGWwt63kyghFQ0I3wo4GENo87Zmn4XEGN3yKR16n3ZzFFEeVZgU8oROwAjXqcuHybKjmRqAxRbR8gZNQTLypi9RYvGNHX8B1BJLCpvexmgLp8E1E9iOlKIjKAX/Ej81lKQipzB0S5cHgpEV2j2bRZsqu2Q8nOQKe/fYrg/s1LuWjIAl6qXkEyW8231/yY2077DFKoXL/iX4ct//z1vIUkswURy2S2muvX/Jj7z1wEqe04+Sb8scld9l+ReVa9cG37vlAogSKOsPRTdHMpsA84qkKXv4mqQFhXu/RTm02LckOnOOBjXHEEJFx16lCKAzoC8CkKqihiaCjApOIJCCHI5uowgv3Yv+anWNm6o/qGmXxDeyACoDGT5NFl13HNeQ9i6AG0z/4c9CBkmnFe/IMnUNmD2K6baAtEtJHMZLFd972kL+2nkM3QxiAOiksCFAHjgRdbJyjKgSeFEBdLKVcD17U1FEIsp5Dt0MZvgG1Syp+17ZBS1nU4fj/w3++h7x5HwVss1csIqw7Xn1rG7ufglccsdj8H159aRljt3qi/lIIrh5/Pz9dt59qXVvDzddu5cvj50M0x5IBRyvz5dxJqLasUCiWYP/9OAkZpt97H4+ThM0oYf/5d7QJReiCOokWoz+xHVQ325uqJKH7qcgr3vFFBukHw7F/yvPhowZ6/M64/cwca/GROf+InIh1c5LhleoJyo+CElBs6t0xPgPAELN8vOHlJ45s2oVNU1HdhQ/saXTbtKYypW4K1DBIBdrtpQMcnJIoMYKn7AT+IVr0IFwIOtDAWgGIrRf0hwYhAWzBCOTnBCAcbFRW1w6NcICjN69ToVmFmWpFsD2UZngYhIZ43EDJMo68GV6hknMlkFKhqWs3oISr7a1ySdd4sc18iHlC5fW75YSKBD23ZRcII8P3pYyjyhbhvw3a0VJCXn4DHf59jwz8USGlcO3EQP1tbwZdf2MrP1lbwuXED2NnUQsII8N1pp/LQlr3tZTp1RXLFKXMZHh7Sfv9kthrDF8Nx3U6BCIBkJoV7iDB2MluNLR0ef+7zvLj2Lgw1x6I5/Tr1f9GcfhQp+U6+w6xZ30dT/Hx4zh2dSjV+eM4d+BTvpbM70RWrk+BpeUjjJ3P6Aw4RDb51iJ/6rTFlbKhp4ZbpQ7l3/Q6unzSSr04cxc/XHuCLz73N11/cSXVG4YerVvOtV19n4YBLEFJw26uf4yfLv0DxnK8x4cO/wBc6sm9oO2Z7IKKNxkwS2zGx0jVUPfdT9j/2Bapeugvlgq+hf+6XnkBlD6EpSrKtZGsbCSOIpijJI5xyPKwCRgkhhrdWx7gSeLLtoJSySUpZKqUcJqUcBrwGXNxaTcMQQoQAhBAfAmwp5ebW7R8BUeCbHW8mhOgYOLkYeOs99N3jKHjBiF6GY/l44el8e4mkVLPkhafzOFZ3z1T5+PGaN0lmCiJSyUyGH695Eym79z6KohErHsXChYu59NInWbhwMbHiUV5mRB9GUVWCkWFMvui3nPnJ/8Uf7k/OaaYl20jKdTBtmxZHcPOrO/j40P6sXup0sufVSy1unlTGsIiGX+t+O5BIdrRs4Vdnj+QvF4zjV2ePZEfLFiQnvsKBx8mhca2Na0Jk7DufDc2akv/dYBISYCsuQpNkMLHREQjs1oCsrdWB9IOUGOwkakPMhAa9hICTJ+iaNGiHZ0bYFEQxTwZ2B92IjvQzfZiqpEkrHK8MZPFLQcCG8nwC0GkRCuX2PhrldHLA3oZXGTFIRVFgzRZP7LUvoQjBKTGd33xoII9fPIRfnZsg6Mtz2/Qx/HzeBEqDOte/upqPDz6F1Utlp/H41X9aNLY47ZlklRmTm1/dwQXDBnDb9FFILL4ycRjfOGMoi99aT96VPLZzGf4OM86JYBkZqxG1VRi7IwkjfJgwcSJYhnALNtaSTlLbtJ01m27jtsl1LD5X47bJdazZdBumzDNj2vUsOP+3zJh2Pbs3PYrt5lm18bfMmXw9l55b+P+qjb/FlideNPaDhOnC0oqd3HlWGY9cOIg7zyoD8lz74psIW+PFQ/zUF5fk+fcRCX69YTsvJ2tpzDv88PXdnezqR6/v5aox40hmMnzntRVIgpwSm8Anxn+PnFpMOtCvoNp+BDRVJ2Z0nliPGQlUBNWPfwu7ufCeazcnqf7nD5DBsCdQ2UMU+/XrF82cWtsWkEgYQRbNnFpb7Nevf7fXlFLawFeBZykEBv4spdwkhPihEOJYlRbLgDeEEG8BNwFXAQghBgG3UhC4fEMI8aYQ4prWc74uhNgkhFgHfJ2ul394dAPeG2EvQzp0qtUMhW3ZzRNtrqQ9ENFGMpPBPQE+tKJoGOHy7r+wR49gmxaididy3bPIKecjokPQkLihQfiFH78axXYllRmTuE9jY3Nn4001SxQp8GsnJq02qPg4vXQkX1r+e5KZJhJGlNunf4yg4qWevx+QUlL3moVeIvD3e2dZEVJKlmy2SJswUMAeX5ZBaoDXZSVC+gGwpI4qUkglj88uxi8qCZFt1Yvwsd8Xp9gqzP7W+zrLCgdc9aRlRUBBxFJKiR8fWXFwWVJpXgcJ1X6LmK3R7LOo0k1ipo+ybClCakB/+snNVHI+OTGIbU3Lma8LhpYrvPm2zYIZOj7NW9vUV1CEoCRYcOmqM2lStsnNry8nmcnwm7POJZnJEvP5u/QvQoes8a/MmNiu5NqXnz/sPp8dO5orTpmPaA3aJYJl3DHlFpZuuY/S0eVdCmMbqkIiWNauGXHnlFt4a9MD7df0aUG2Jl9ga/KFTvdacMY32fTa3WRTSYLhBNPPvQOJZNf+l9i1/6VObedOvfFdf3ceh+NIyR+37eSP23a277v3rFkkMzmk27Wf6jqwqaEZgICqHkGLpDDOJjMZFBQuPO0H/HDNJpKZPSQMgztmzmFENNplZS3DH+fKOfccphkRcJX2QEQbdnMSHC9A1VPoqrrilEj44vvmz+rOahpIKf8B/OOQfd87Qtv5Hf7eDYzpos0+jpASLqW8Gbj53ffW43jxQoa9DKHSXqu5jXBE0N0VqhQh2ut+t5EwjG4qrejxfkZJ12E+fANi+sXs+MeNWHYLLa7Fjav+QN6F77y2HE0RlBs6DZbdpT2rJ3B5b851uGnl30hmmgBIZpq4aeXfyLle6vn7gdR2l1ylJDpOfcfClasrHLbXukzqLzDzsE9PM0gEedttBunD70pUpwRb3Y+QCi5+DLEdwwWfC+WpOA1ax2DEIcs0HPWk6UW0YWMXRCw7oEuFYtNHZcAsZAQJ2FLUhN8VDM+qaHY5iltCpa8WVdqknOk0uM2kcknGDFXJmbBhh5cd0VeRwI/XrG6fcGjI50gYQRqtfJfjcdrpPDaWGzqa0rWPUJVt5kdr/4lE8PCMn/CjUz/D3l1L+PcJ38bwl7N4y+tcN3EKv557PtdNnMLiLa+TdR0Wz7ydJ8++n8Uzb6dm5xK27Prf9utadrbrGW/Fx9wL7+e8T/wvcy+8n0jxKFTV375Eo42iUALVW6bRraiiMJvdkZxtkzACmNLt0o6sDkXoc47TvlSyjXJDp9nMAwVbcqE1EHEwQ/eGFctoyOe77JMiFMqiI7nmvAf55oVLuOa8BymLjkQIFS3S2Sa0SAI8vYgeRVfVFeVGcNagcGh4uRGc9V4DER7vX7xgRC9D9VnM/4i/faAPRwTzP+JH9XVvhFcRDrdOmdzubCQMg1unTEYR3gubxzFw7YJqtaIycN4NuNLGkS4l/giOdElmMhxINbBo9gge31PF1PPVTvZ83kV+gsaJC3rZrmwPRLSRzDRhn4i0H4+TTu0yEzUIoRHvLKKVbHZ5YZvNoKigv69gf0k9QxyVFC6qDOAHBDqWeoCCXgSExA5iNhg2RNPl1Gtx4nYKCTRqB+V+hYSAVE56MMLBKSzTOMS8y/M6ac0lpRX60+RzMIXL0LREt4cgZJhKX5SR1jYa3Ulkhcb2uv8jUaIQKxKs2GAhpfdvpi9yaObjQ1vf4papE3m8YidTzxedxuOZCzX8QdFJY2fR7BHsTye79BEefHtZYTx1LB574XO8uPYOJgxdyJq3/4zlOrxUuZsbX/8HX1r2BDe+/g9eqtyN7Ur6G/0ZGBpAiR5nzNCFnTQfYqEBXDH7rvaARMxIcMXsOykKlhIMlxOKDCIYLi9kWQbiXDjvnk7nXzjvHoyApw3QncRUhUUzJ9MxzT5hBPnBjFP56569nHWhfpif+tc9e1vbBij2qyyafUonu/rujCE8tHVTqy1NwZFOlxm61lEmDhShEA6UEAslCAdKUISCGopT9vG72wMSWiRB2cfvRvX0Ijw8+gTeMo1eRspxaNEyLPhEFOmCUKDaasJ1/ISPffpxI6TLYzuX843TzyDqM2iyMjy2czk3TTi3G+/i8b5E0RCxBAQiKNEyNNVAFxpfG3sptuuSMAyuXfYy982Zx3WTByOQLPiEH0UWMiKChnhXpRiPF00IEka0U0AiYUTRvKyfPk+u2qVlq0t8sobyDpYQ5GzJ39ebBDWYPURlf0VB16HRl2MnDkgVidb+8m2rSRQ3iJA2BnuJOxA1QZERmrQIxdZWmjUDRzkYEAm6KgJBXjm5AV0bhwACHQ2Tg9kM/fN+Nss0lX6TIjuIq8COcIpTWyIMzATY5RtITismLjdhi7G0yAlsrH2GMwZexWnDVJZvsNlT6TIs4VUp6GvoqkrCMNpf9DY21PPn7Vv5yoTTydk55l0aJGc5ZF2LQETBL1XuO2cMjpSoQiDJcdXLf2J8bAA3TJrPQCPOrlQN925eysbGAySMKLqi8rWFTyClQ139NmaMvpIcPhJGEclMS3tfEkZRp7FX03SKoyP42Ln340oHRagEAyUoisJnz16MK+1CxYxgaZfaUkIolMRGctn5D+K6JoqiYwQOli336B4cu4WygM49cyfhEzq7U7UYmsK9mzbxiRGjEWGLBZ/wI51CRq+p5vjoyAQfHTEAVYHafAOGqvPtaaUEVR1wKTdUrjv9dGrzaf68Yy3XT5zXyU6hEPTyKe9szBFCQe83ksRVD4Bjgqqjhjyb8PDoK3jBiF6GXxVogSCuAy4CBUk8EERVuneGKizg2tFnUmmaIBx0ReHa0WcS9t7XPLpAui6kUziaglAUfJ//NaabY8ubv2XUzBuQ+Hg1uY+PDi9m8VnnoTg+HBdsy8FWLfxBjcAJ0og4lGK/wb2zPoktaa91r4nCfo++Te2rFkKFyGnHb0tSSp59y6I5BwtGqfg1QVOTS72eY5ASZLOsQcjC7J2FjiuaQTFRnH6ExA5C0ibgQklWo8ZXghQKcStF/SHilUZrJY38SdSMgMIyDQA/vk7BCL+rUGxpJAMmI9MBBIJt4XpObYlwTr3NQ8YQTG0AOwLbCblNNDsz2J/7Da7rMmKQypotNq9ttLxgRB8k7vfz3zNnc+OKV0lmMiQMg0+OGkXGznPL66+177v9zNmYbo4DzRlCapC0k2VAxKAhbfGXud8grOs4SsGmxsUS/NfUy1AECGmiCKjNp3DtNGXx0TTveJHooOncPn0hN618hmSmhYRRxO0zFqIrgmSmCV1RiftDaJpOUfjwCn/R0PFpSwmhEAp2Xbbco3tQhEB1LTQh0BXJiKL+WFJy4xlTaUzb1KZsMk6GkpDG61Vb6W/EKPaHiOlBnql4gwsSs2jJ2wjb4pdvvcjGxioSRhHXTZjDPRuW8d/TF1AkM9wxcw43rFjWbpN3zJxD3O9/x/0VQkELezbh4dEX8YIRvQwVhUzaxyNL8zSmJLGw4JPn+ykq6t5lGhKJJXz897rnDzoN0xd4FQc8DkO6LrLyAFZzE1qRgrXuWdwp5yP1OAPGX4mmGDhS4UODxvPUjkouGTicRzvZbxAtdPKiXEKopGybm17v7BD39+rQ92msJpeG1TbhUSpq8Pjtaf0Bh7eqXCYlFMrCCpYlSWdgdzhFQvGzXbroMojqAm4M27cV8OEKjZDyFhEHdBfi2QjVvjIA4laKLaGBne5jOBoSSf4kL3WTSGzp4EenRXSu657IBdgUSdGkOcRsDVtRyWowsVklYoXI+0aRDKxncmYb631TaaEf2xueZ3TJeYweorJxp0Nji0usyJth7EsoQhDz63zz9PFEfAGarRy/3PgKAL+Yez612QxZx0RXJLm0n5de0FvHaz+fPN/Pm2tNtuxxiYUtPnK2wu93buPy0QO5d8Nm6vN5Fs2cwpt1G7hz8xMkgnHumvZZBsfG4mo67van+PXsj+Eg0IQgY6b4zCt/aRcTvmvGZYyIlHn6VL0cV0oqbYdnKrZw/sCp3LLiTYr9OjeOG89Tzyut9hLkkwt0ZvQbyTdfe5pkpoWzyofzjZHn86enTRpTKrFwjBvO/jB3bP0nGxurGF4U44YzzsCvmfgD5YxQNRaffR6W6+BTVOJ+v2cbHh4fMDwPo5fhWAcDEQCNKckjS7u/tGezVLlp5bPt6ZTJTAs3rXyWZum9sHkcQjqF1dyEkijGjZTA3CuQviC2gL+t/k8yUuBIlVtWbOLSoUPbAxFw0H5TmWPcoxupy2faAxHQatuvP0Nd/iR2wqPbqX7JQroQO/34x6jalMu/ttokigTj+xced41NBdvc70/TQsEmFGlgSA2Biq1WgNRBSorEVuIWhC2IZ0up1vsRdPKE3PxhlTQMtyBeKXvAj7ax8eM7XDcip6NI2B8sqNorro8Gv40m4aw6G90+BZwYOptQpEWDM4eVlY8AMHaYhgCWrfcU6fsiqoB7NrzMl5Y9zo2vL2FjYxV1ZoadzbV8adnjXLfiKerSFk/8H4eN15PH+Nq3n37B5ZKhg/nRqq1cdepIkpksN69Yw9zySQAksw1cv+r3tORSiFQT+7Y9wcrHzmPNY+fSUreJb676eycx4etf/ysN+XTPfCkex01G+Lhh5RN8dNg0blmxiWQmx9VjRvDU805ne3nWpC5ttT9vLx18Bo8uNTu1WfKC4JpRs0gYRexM7eIbq77DV1feRmO+oVAFJhCg3AhREgh0CkRI6WKn6rCaktipOmR3l5Xz8PDoFXjBiF6G64r2QbyNxpTE7WYP15ay07pOKLy02Z5gmcchOJoCMYWmNY+Ry9ZSsfExcm6WdKaKxkwSDRVHSpKZHJpQurbfk+hD2K7btW2fzE54dCtWi0v9ykJWhC9yfI8ty5H8fYOFpsCcoQcrbzQ0uNiKS4svzza3HiklFioWILGw1UoUGSIk9hEgTdSBeB7CuRjVvn6UmYUXqxo92ul+hqORP8nilW3YWCiIQkCiAz6p0D/nJxkwcVqrajT4U9T5bWY3qBSZEXzOVNYZIYbKzTTJKexM7SBnpwgbgpGDVVa9ZdOS9v7t9DXifoM7z7yAhFEImiWMIr476RwefPuN9jYxn9HleB30i07bMZ9OMpMjoheWMyUz2U5xr2S2ATs+ANUXZNqcHxBsXYKhBku7FBM2vcpGvR4bQYkeQhUqyUwOgLhP79JeDDXQvh3zhbpsU6KH+e7k2fxh+8MAJLPVWPLIdiCli1mzneRDn2bfrz9C8qFPY9Zs9wISH3CEEAuFEFuFENuFEN/p4vhnhBA1Qog3W/+7pnX/GUKIFUKITUKI9UKIKzqc88fWa24UQvxOCOE75JrThBC2EOKyE/8JP5h4yzR6GYoiGTtU4cyRPsK6IGVKXttuoYjuDRJoQuGs8uFcOPS09jTOJXs2o3mCPx6HIM0WcvV7MaZfges6JCZcwdJnrmHS9OsZk5iPLUFXFO6fMYUiR/D5D/n555sW+2oKTkMsLFBOollpitK1iNrJ7IRHt1LzkoV0IH7G8WdFPP+2TW1acu4IlWBr9QwpJfUNkgP+NP0VnV3CxXAMTAm2DOGolQihggwSEpuI2uB3IZYLIFCo1vsxLrUPgKoOwQhFFjIjarSuS9KdaGwcpJT48ZEXnTMZBuT8JIN5qv0WibxOWnHJa4LSvGBevcPT+jhS+iv0lzvYxenUu9PYULuEaeVXMHGkyrYKh1fWWVww652v4/boORQhGBEp4XdnfRzTdRHAXeteZmNDVXsbQ/cRC7udXh5jYUE2LxnUT+FDE31EAgJVc5mfKKXZLGTYJIwgHadHEsE4erCI6oc+i3/oNGZ/6BdIRSWjhbsUE9YPESh0paQhn8d0HHTVS9XvDWhIrjl1fqsodYBkJkeDZRIL64fZS8bJtW83Wmli4dhhbeJBDbdZ8J+n3Eid08AjlY/jO8rSSSfdQPXj38JuTgJgNyepfvxbJK56wNOG+IAihFCBXwEfAvYBq4QQT0opNx/S9DEp5VcP2ZcBPiWl3CaEGACsEUI8K6VsBP4I/Edruz8B1wD3dbjn7cDSE/KhPAAvM6LXofksPjpBx3zcpOreHObjJh+doKN1c2nPYn+Qq089k5+t28i1L7/Mz9Zt5OpTz6TYHzz2yR4fLHxBZNkQli35PM/95RKy6SrS6SQH9i5j8vib+dm6tah1AvURjW13ZMn8xeTySTqD+intmifhk6gdWeI3uH3Gwk4zgrfPWEiJJ2DZJ8nXudStaM2KiB7fI2tLlcPa/Q7jyhQGdsikSKUktg3b/c2Y5JFIDBnDLxUUGcTWKkAGQLpElPX0syFkg2INoEUNkVENyswm0oqfdIfZwJCjIRBkFbur7pxwJBIbmyD6YcdKTR9BR2GvUQiUmEJBUTQ2FzUzv06hJF+Kak5kl5ahzN1GvXsWK5KPIaUkElIYMVBh5WabVMbLmutrFFLgQySMIsqCYb5w2oxO46LQLC48u/CyCIX/X3m+n72VNpdNKvghyV/mqFpscevwsby6v4qEEWTRzCm8Urm2cJ1gnLvGfYyIbaOES/BP+DDr//l1Vj36MZLLfsKd0y4lYURb71nQjIj7D5bEdaVkR1MTV7/wf3z0mSVc/cL/saOpCdfL0uxRQrgMCRXz/L49LJo1joQRYPHWHVx0jtrJXj55vo9+IV+7XT1R8SafXKB3avMfH3IwmjV4uJzm/4lgPDKMHwz8DjF/8RHvLx2zPRDRht2cLFTL8OgTmI47szKdW74vld1Vmc4tNx135nu85HRgu5Ryp5TSBB4FLjmeE6WUb0spt7X+fQCoBvq1bv9DtgKsBAZ1OPVrwOOt7T1OEF5mRC9DzWnseTiP1VB4EFsNkr0P5xn6RR0Cxzj5HdCcz/Gd15a3l1RKZjJ857Xl3D/vLEq17tWn8OjbWG6Wlc/dQDZVcAzMXD2hUIKSIQu46bXX+d7YGVT/yelks1V/zvPpLwbIaxA2OKlZCT5VZURRCf9vbqHUqKYolPgNfKqnh9IXqXzGBAHFU4/vcVWbclmy2aLUEEwa0Nnu6uolEsl+fxqTFoS0aJE+NCmRuFjqXhQZJyJ2YMgUcRtiJoQzg6j29QOgPN9AlT8GHWZui5xC37InuaxnRyxsDIKoUsHpsFxEIBiSCbC1KEOzZhNwCoHtN4oPMCo1hguqXR4MTGV/6G1m22uo5kp25QazvWk5o2KzOX2Uxo79Js+vMbl4rpcd0Vc5NFNCVxRs1+V3e17j0nnjOKUozr5MCw/s3si1o86ganFnP2Tfwybf/OI4WsblianQb9DpnJUYh09KYraNFC6R2Z9n48s/JNdSeFbU736RYmDxvNuwEe3VNDpmPTTk8+3VFKDgi9ywYhmLzz6PkkA3Oj0e7wxp4ZOCMcXFLN27k7vnjkcRCpqwueR8SbE/iHSzVK39KXa+kcXzvoeFgq4oRHWFL1yikU7VYeWq8GVDVDw6sJM9VTxsMfLLASjq+vZC1dEiiU4BCS2SAPXwgKtH78N03Jk7m9NP3rx8Y2kykyNhBIYtmjX+yVMioYt1VVnxLi87EKjosL0PmNFFu48LIeYBbwPXSSk7noMQYjqgAzsO2e8DrgK+0bo9ELgUOBuY9i777HEceJkRvQzVpX3AbsNqkAWl927ElLJTbWcoOAGWNxvhcQiu6+APljD1vDs49/KnCZaOZf6HF1NUfBrJTIYSX6BLm1UkxMJKjyyPUIUkKNMYtBCUadRuXubkcXJI73Fo2uAQnageV0WWnCV5fJ2FJuCs4eohYmiSmhqXGn+WsCJwhCTuRnAAZBG2Wkkh91ynSFlDzAG/A7G8QnnWoVrvh+ba9DebOHDIjF7Y8WHhYvegnVkUggxdZUcMzAZQJOwN5skpDg4WEdfHKyVNTGtSGJZKoNqnUKFCXO6m3j2bZfsfBCAaVhg7rKAdUVnnrdfuy3TMlCgJhIjKHJ8bMYLbN73CLWv/hfDZrKqtpiWf73JMF801xFv2out+SgIREqFiSsMlaLH+qEX90IqHtAci2qjf/SJFTpaEEaUkED5s+YXpOF37Ip6uRI8iXYci1WVIKMwft7/Nlf/6J5cvXcLHnl3Cf7z8D3Iixe7nv0L11r9Tv/tFwk6m3a40RUGTdaxc8hHWPnc1qhLs0p7kURLJ1FCcso/fXQhAUAhElH38btRQ/ER+bI9uoj5n3tUWiABIZnLcvHxjaX3OvOsE3/opYJiUciLwL+CBjgeFEAngIeCz8nABknuBl6WUr7Ru/wy4qYt2Ht2MF4zobajgi3d+WPviArp5UtenKCSMzmnrCcPw1tV7HIaq6pw67WvkbYs6u5GHNtzB7kwTu1N1JAyDOivXpc0qPZR35bo2VU3b+P0LV/OLf1zM71+4mqqmbbhuz6TQe7w7XFuy/4k8aghiE49tTK6UPLnRojEnmTdcpxLcyAAAIABJREFUJaR3tsmWlCRvwuZAI2mRReJQ5JagSBVFGljaLoQ0UGWWsNhKuQlFNtjOYDQc9vkHksg3oCDZ5++8ZjniaGRVB3pwmbuLiyMdgvLw7AVdKgzI+tkfNMmpLi2qxahUKS+XraNFdbksCUZuBhXaKIa5L2NRzIZmP/tSGwCYNFrD74Mlr+aRXsD6fYNQNMJamh9PGcf3p85CFTY3T55IzNC7HNO1SDG+slEoXQzuiqKh+AwCRYlO+wNFCZSjzGbrqtqlL+JTvEy2nkTVi6ixamnK7e/y93FxGTL3RorKxnf5Gyuq3i5kmjdru7QncZRhXQgFvd9IElc9wOAvPU3iqgfQ+41EeLpmfQJbykRbIKKNZCaHLWXiCKccD/uBwR22B7Xua0dKWSelbBNvuh+Y0nZMCBEBlgC3Silf63ieEOL7FJZtfKvD7qnAo0KI3cBlwL1CiI++h/57HAHvX3UvI+VLU3ylbB+4fXFB8ZWSlK97S2H5FYsfTJ3Q/pBJGAY/mDoBv+KVcfPojBSCiopXiJZP5H9WfZszh1zGD9b+H/dveZFbp0zmsQNbiV1BJ5sd9in/cc1knwhasrU89uq3acwUZugaM0kee/XbtGRre6Q/Hu+OmpcscpWS0tk+FN+xbenlHTY761ymD1LoHz780VZTU1iisTvQQoY8QWlTg4IiKSguqAcQFFGsLCfsOsQciJuQzk8FYJ9/IENyNQAcCBzMjNBdhaCrke4hvYiOmFj48aHKwz//KRkDCewycjRpNjE7SpPezOMD6hmaE5xXPRDNHsp2rT9xuZ0adyHP7f0dAH5dMGmMxq6ky8Yd3ox1X8aVLqlcHY3pJGmZ5+erbyBtNfC1FX/i88se4KsrHua6dY8c5ocMvcoH/txRXwZ1o5jxC+5uD0gEihKMX3A3vuCRZ7Pjfj93zJzTyRe5Y+Yc4n5vSVBPknEy/HLlt3li0yIWzZjR6fe5dcpkfr7pOeqsLIOnfZ4JCw//jf3BODPOu5tgOMHWjT9j0L+579hHEEJBC5egRRNo4RIvENGH0IRIJozOy6wSRgBNiOQRTjkeVgGjhBDDhRA6cCXwZMcGrZkPbVwMvNW6XweeAB6UUv71kHOuARYAn+yYBSGlHC6lHCalHAb8FfiylPLv76H/HkfA04zoZeSkw227nuCrV55LsRam3k5x867n+FHpxd16H9PN8dSm73Hz6V/G8BWTsep5atP3+PL0n3brfTzeDygMGLmApmwVdZkkhh4nmWkimWni3s1L+dToOTQF0gz5YhyfVBAaaCGBUHomGOFIuz0Q0UZjJol7tJxQj15FrtKl+jmL0AiF0NBjz5C+UWHz2m6HUSUKo0sOd1htR1JV7bI32IKmOOSFwxB7ADtQCLhxLK0C8AMWcWUl/fMQcCBsKeg5P3VanLQaYni2iko9RqaDeGXULmjspNWety8TkyABDPy0kO10zHBUEjk/e408dS15huZhRKYfO8PbeDMSZkGNn3XRGeyKVzHaXUMDV7C6qYg5Ta8xInomY4YUKms8uSzP0IRCJOS9GPQ1XOlS3bSdR5ddR2MmyafO+V2nMb2NDY0HuHnXX/jZ5y9HcxWasxXYkSLW/a3w4hkqPvIMtaLpjJ77HVQtiGNnUbSjr/FXhGBENMris8/Dch18ildNozdgS5u6TJK6TBJNpPjG6acS9Rk0WRnu3byUjY0H+MIp4wgWJQiFE4fZgxAKkeKRzLuokCXfbNUQ+mSWgBIh5zbTYgTRGYzqvYa8LykO6NcvmjW+o2YEi2aNry0O6Ne/22tKKW0hxFeBZynki/9OSrlJCPFDYLWU8kng60KIiwEbqAc+03r65cA8oEQI0bbvM1LKN4FfA3uAFa0lwP8mpfzhu+2nxzunx0cBIcRC4OcUDOt+KeVPDznuBx6kkGpTB1whpdx9svt5stCA4kCIJl8GdEmTyFIcCHX3Kg18ik4kUAwiCyINIkskUIymeOJAHp0xpclLm3/LnInf4Naz/4yhFXP/3Kuoz2d4cNsKblz5ZxJGlN/P+zShQLinu4sqNGJGolNAImYkUI6WE+rRa3Dykj1/zKH4oXTmscV0t1Q5LN1qMygimDFYQXTxElNT7eK68KZRR0bkUDGpR0N1NQQaprYNQZgisRK/zJKwIGpBk3Ma03MVrA+Nx+daDMrVsSo6qtO1Y7aOjUtO9HzGgIuLJS1CBArBiEO+ihFpg2Qgz5tFzUxIxZlTX8r/G/IGTyQGMzI9gM/tLWFRaBg7dIsy+01q3Pk8uesPfOP0aSiKylmTfPzvyyZ/ezHPpy4IeC+MfYxMvqE9EFHYrqfESJAxGzirfBQXDplIVA/SZGZZsnc9jVojr66/gxmnfJyArZFrSbLhmW8x5dIH0I3Dyyta2QbWL/lqJ92IQFHiiO3bKGhZeGKVvQlNaJQYCaL+UnQ1QLHfpj7fwoPbVrCx8QAJI4pjp1G1siMGpoRQCBglNGUq+dMrXz3smfzZcxYTNcpP1kfyOInoqrLilEjo4vvmT7rLljKhCZEsDujXvwfxSqBQ+QL4xyH7vtfh75uBm7s472Hg4SNc85jOoZTyM++0rx7HT49658dZM/ZqoEFKOVIIcSWFeq9XnPzenhwCQnL1mNnctOoJkpkmEkaU26ddSqCbhdFCepQFp36Zb6/5MclsNYlgGXdOuZWQHu3W+3i8Pxg75iru2fIQVw6/km+9/ki7bd426UIe27GKL46d16lcW09SFCzlitl3ti/ViBkJrph9J0XB0p7umscxkFJS8ec8+VpJ4gIfavDoL7tbqx2e3GjRLySYd4hgZcdr7k+6pHwmtb4sEpORdowd0kfADWMr1UjFAVz6K89TZkHQgagJe+0Po8tX2B4czujMATRc3jYGtF9bSCixdVKq3aN6ER0xMQkRIoBOjs5l8EKOypBMgD1Gjio9x8D8EFxlHY6a5PdDDL6yK86nd83lvtEHaFFrUF2TjZmZrKz8C2cmriQaVph+msbyDTavrrOYe4YXvO5L2I7Z6YVwxVsPcM0Z3+fNqhVcPeYTnfyOn067lL9VPMP8MVcRNxIcWPkbAHItSdwjlFd0HfMwAcujtffovRhKkOvO/CXVeZuvvfa3w575V4+ZRUITGIFjC0o6btfZio6n4/S+RleVFeWhwKye7odH76en8yyPp2bsJRxUQ/0rcK7oaurrfUJOinaHACCZaeKmVU+Qk937kZvMlvZABEAyW8231/yYJrOlW+/j0ffJC4Xvrv8FFw1eyI/WLu1km/+1dgnfnriAEZGyXjNLqiga/aOj+OzZi/nGBU/y2bMX0z/ateiaR++iaqlF8yaH4ukawQFHzwfbVOnw9/WFEp7njlDRjrAsqKpaksvB8nAVjmLiE3lqhESRBgI/pm8HggCG8jJBsgzJQ9gG1Y4yPNuEKXzsCQxhfMtemtUgFYGDQa2o48MnFZrU3qO1Y2LhSJciGezy+Mi0gS4Fq6JNCHQuqgrRGNxNZaCGp/qnmdqk8dG955FWYoTZSFYO58971lKT3QnAmKEqwxIKz75usWmn9zLRl9BUnZhxcEn1/voNrN36CGeP+NRhfsd3Vj3B6cUT+O76X5B3Haq2FpZmH02QUlH1dyxg6dFLcXIoro/vd/HM//K4ufx22++wfYHj0nFQFa2T3UEhM0L1nskeHh70fDCiq5qxA4/URkppA03AYfl+QogvCCFWCyFW19TUnKDunnhclE5rN6HwAHC7+acyXas9ENF+n2w1ptt7nOoPAn3Bbh0KthHxRbu0TYnsNYGINhRFIxoqJx4eRDRU7gUiupkTYbdVz5lUv2BRNEYlOuHIgQgpJa/utHlqo0X/cCEQoatd25/jSPZWODT78uz1tyDJMsQJ0uSWojthbKUWR8kgRS0JsZyBJhgOxExYy5cZm97CFmM0RXaeUdkk64qGQwdbLzMDOEhSvSgYAZAnRwAdvzx8mYtPKoxtDrMh0kxGsZnUeCqmIlGUAywta2RlLM9FVf358L4zqVfDFLGHSmchf9j6Kyw3hxCCeZN8lMUFf34+z+5kzy9POR76wlh7ojH8ca6cc0/7i2HMSHD2hGuP6HdEfFGS2WryZgooBBa6EitswxeMM2FhZwHLo7X3ODY9Zbe6UYqrBrq0i4Z8My9Vr8A6zsyGcKCUy2ff2cnuLp99J+GAl63o4eHRCzQjugsp5W+A3wBMnTq1z9Ye01WNhNH5pS9hRNHV7v2pdMVHIljWKSCRCJahK8deo+3RffQFu/UrOolgGc1WU9e26ZVg+8DRnXYrXUnlsxY1L1mERymUztW61H0AyNmSZ9+yeKvKZXhcMHPIkTMiAHbvdTFNeKkkiavkCQuT3ULD50YRaOR920C4hLQniDgOg/MFrQjNijAgoxKQJmvDEzmrYSOWUFkdGdl+bZ8r6Gf5adBMujlx7T2Tx8Qv/cQJU0nDYUtIEnk/NTmT1ZFG5jYO5fL9L/PYwBpGNxo8MFhDc0v4+P5T0V2HJweuIiDTrE+fw0Nb/4tPj/lPNFXjvGk6S5ab/GFJjivO8zN2WO92J/rCWHuiUYRCWXQk15z3ILZjoqk6hj9OQz7T5djebDWRCJZhBIuZ+e9Po6g6vmD8qBoBoeKRTLn0AVzHPGZ7j2PTU3arKBp+n/+odnG8/qLalq14zmIc10ZVNMKBUi8zwsPDA+j5zIhj1ozt2EYIoQFRCkKW70vi/hB3zbiMhFHQbkgYUe6acVm3r8eP+6PcPe37JIJlhfsEy7h72veJ+z3NCI/OtNnKUxXP8N1J559w2/T44GCnJLt+n6PmJYuisSr95vmOGIjYVeeweEWeLVUukwcozBl69EBEfYNLMunyllFPUk8haMahBdUei88NY2oVuGoWV32RAe5+RmVbtSIseJOvM7t5BXv9g/C7KuPSFayIjiGtHRTZG5w3EECdlj9iH3qSLFl8aESk0eXx01pCbAo1YQvJ0PTZlJom+0MVlFu7WTy0ntdjDhclx/GV7eehuPVAgJfqp/LHbYuw3BwBv+CCWTrxIsGfluZZvt7ClR/Id/w+hSIUwoESYqEE4UAJilC69Du+O+l8nqp4hrunfZ+SYCmBogS6cezyikIo6EbJcbf36L0U+8NHtYt34i+qikbUKKc4PIioUe4FIjw8PNoRsgedh9bgwtvAuRSCDquAf5NSburQ5ivABCnll1oFLD8mpbz8aNedOnWqXL169Qns+YnFlZKGfBrTddAVlbg/dELS4F3p0pBvwnQtdMVH3B9F8RyH4+GEzIP2ZrttsxVHSlypIBEn1DY9Tgi9xm6lK6lfbVP5TxMnD6WzNCJju3ZO69IuL223ebvGJeqH2UNVSo9RVrKlxWXDJoc6NccTxbuw1AZ0kcS1ZhCwE7giTTawFkdbQ0J5hom5LKNz0C8HVm4yA+snMjazlaeLL2JB7WYafGF+P+BcnNYsoLCtcUY6RoNmckDPHrUvPYlBEL/wUyuayYrDgyZZxUFHY3ZTKQf0F7h/eDXFeR9ZTiVLKefWlHBppUJGM/nr4DdYFXdBpDg99AKfHvNNSoPDsGzJS29Y7K1yGT5A4dKz/BRHuvU50u1225vH2p6io98hkCjCRRXC8wveHb1mrH2veHbxgcJz5jx6hB4NTR5nzdjFwENCiO0UasZe2XM9PjkUylyd+BKJilAoOQ4lZA8Pz1Y8ugOrRdK03qb2VQuzXhJICBKzfOjFnZ1aKSV7G1zWVDhsq3HRFDgjoXBamXLUbAgpJTW1km3bbVoUi6fje7HUFhQliTRnELAHIIVF1r8JW91EVH2OUfksI3OF6hnhfBh/42mMy2zhzdAkzq97i4zq57HyOe2BiIitMTYTxRIuVb7cCf2+3isZsihSpYQiGhCkyXVyN4OuSk6xqdJzlFjzuOjAav6e2EOpuQlbnM5zZYIdRpTLkzqf3TWTCw608EJZJavixfzozfs4u3+EGf0v45ypo9hW4bJys83PHssyebTG3DN8lES9l5W+wsnyOzz6Fp5dePQmhBALgZ9TeGe8X0r500OOfwa4g4NZ9r+UUt7feswBNrTu3yulvLh1/x+BqYAFrAS+KKW0hBD/DtxE4anZAlwrpVx3Aj/eB5Yez5M6jpqxOeATJ7tfHh4eHh7vDteSZA+4OGmJlZLkKl0yFS7ZChcAf39B//N8GMOU9mUZqbxkX6PLngaXbdUOKRP8KpxWVghCBH1HDkI4jqSxSVJxwCHVDFW+LEvjFWTUeoQr8ZsL0NwwrsiS8a/B1lYS155ncraZ03IFwcr+WR+DqsdTkt/OAd9wzmiup1KP8+fy2bRoBporOD0dw3A1TOGwx5/G6eaSyyeCFCnCMkQxRRj4aSFbKPnZ+nUGXJVdegsjZYRJLTMYmZnEowNW0+Rfh+6cyu6w5OfDw0xqMphfH+TKilFcXiHZGTqVvXvq+JexCiP0d8ri/Rk34RSaa0/njbdh9RabIf0Vxo/QGD5AoX+x4mVReXh4eHi8K4QQKvAr4EMUCh6sEkI8KaXcfEjTx6SUX+3iElkp5Rld7P8j8B+tf/8JuAa4D9gFnCWlbBBCfJiCdsuMbvgoHofQ48EIDw8PD4/3F3ZasuO+g1kDQgO9ROCMUWgpFmQMgWm5pDY5NGQkjVlJtrUghabAgCLBGQmFITHRKRPClZKsdEjZJjs3Kpi2xJGgOSoKgrRisT6cYmvAQrj9MJxhKLJQVtBU95PT3wDteUaxniktJgPNwtKMsmyAIbWjce0IjhOmvwOvRcfwQnxCe0aELSQpxaZRNWnUTNw+9F6dIo0udYIE6EcUF0mSOty2YIqA7f4m9vo1/FKlWe2HIyNYahYhk+S0YlYVm6yNhBicg/EtMCYdZE7NUHQ5rP0+t41/BifwQ+IxQcI+i32NU9i7vBgAn+YSK5IURxRKIj4CfoGuCXQfDB+g0i/mZVF4eHh4vF8wHXdmfc66y5YyoQmRLA74rtdVZcV7uOR0YLuUcieAEOJR4BLg0GDEO6J1UpzWa66koF+IlHJ5h2avte336H68YISHh4eHR7eihQVD/s2Pa0nUYGFbKII/vJrnQGUhO0JTIOCDaEAwtFghZgj6FwlKQgL1CEsx9uQy3LhrLQDTtUEERQBQSKkWlXqaA74sujMI3Y0jkbgii6ntxdTWo2irGOuuZmKmhcFZKLagNKPTLzWIeMswFDdCSi1iZWwgr0eHUqeHgM56EBvDaUJO36w4lCZNg4QAARRUMlrLYW1yQEa1KMs5hDWHnKrQqGlIJYVFHls0sUMLsScU5J/Sh+KqFFsQciBkQ4t7FhlZTC2wTQO07QQCOsW2zhB3My3pARxoHoDqlKNwUAz0Y/N1Lxjh4eHh8T7BdNyZO5uyT9786o7SyoxJuaEPWzR7xJOnRIMXv4eAxECgosP2PrrOVPi4EGIeBU3C66SUbecEhBCrARv4qZTy7x1PEkL4gKuAb3RxzauBf77Lfnscgx4VsDxRCCFqgD093I1SoLaH+9BGb+lLb+kHvLe+1EopF3ZnZ6DX2O2R6E2/3Tulr/a9u/t9Iu02Td/5jvuSPfSlvsKJ6W+3220vHWv7wm/t9fH4eL/5CL3hO+1OvM/TNd1mt5Xp/PJrn986szJjtu8rN3TuO2fMivKQf9a7uaYQ4jJgoZTymtbtq4AZHZdkCCFKgJSUMi+E+CJwhZTynNZjA6WU+4UQpwDPA+dKKXd0OPe3QFpK+c1D7ns2cC8wR0r5vq3m2JO8LzMjpJT9eroPQojVUsqpPd0P6D196S39gN7VlzZ6g90eid74fR0vfbXvfaXfUsp+faWv0He+V+hbfYW+09/eONb2he/O62PP0lN2+377Tr3Pc+KxpUx0DEQAVGZMHCkT7+Gy+4HBHbYHcVCoEoBDggX3A//d4dj+1v/vFEK8CEwCdgAIIb4P9AO+2PF6QoiJrdf5sBeIOHF4eZEeHh4eHh4eHh4eHh4e7xlNiGS5oXfaV27oqEIk38NlVwGjhBDDhRA6heqKT3ZsIIToGOy4GHirdX9cCOFv/bsUmE2r1oQQ4hpgAfBJKaXb4VpDgL8BV0kp334P/fY4Bl4wwsPDw8PDw8PDw8PDw+M9UxzwXb9o9v9n78zDpKjO/f85p6r3npnuGbZ2BXdZBGQTRSDqxV0Tb66a5BdjrnvcEnABN8TrjpgYd42JS3LdrjsqoERA2RdBQRRREdBmmZmepfeuqvP7o3p6pmcGHBCEGerzPP0wder06dPNt8459dZ73vfAygaDRDe/m7uOObCy3Osas71tKqUM4ApgKraR4SWl1AohxG1CiDPy1a4SQqwQQiwDrgLOz5cfDizKl3+AHTOiIfDlY0BXYK4QYqkQoiGj4y1ABfBIvnzR9vbdYet0yG0auwlP7OoONGF36cvu0g/YvfrSHmjPv1d77Xt76rfT151De+ortL/+7k60h9/O6eOeSUf7TZ3vs5Nxa3LuAWW+Mx497tBJplIRbcdk02jIfPFOs7Jbmvw9DhjXyvvmAH220Gar98L52BQX/pj+OrSNDhnA0sHBwcHBwcHBwcHBwcHBYffF2abh4ODg4ODg4ODg4ODg4ODwk+IYIxwcHBwcHBwcHBwcHBwcHH5SHGOEg4ODg4ODg4ODg4ODg4PDT4pjjHBwcHBwcHBwcHBwcHBwcPhJ6ZDGiJNOOkkBzst57azXTsHRrfPaya+dgqNb57WTXzscR7POaye/dgqObp3XTn45OOwSOqQxorKycld3wcFhm3F069AecXTr0N5wNOvQHnF067CnI4Q4SQjxhRBitRBibCvnzxdCbBZCLM2/Lmxy7l4hxAohxEohxF+FjV8I8bYQ4vP8ubub1B8uhFgihDCEEL/8qb7jnkiHNEY4ODg4ODg4ODg4ODg4tH+EEBrwMHAy0BP4lRCiZytVX1RK9cu//pZ/79HAMcARQG9gEDAiX/8+pdRhQH/gGCHEyfnytcD5wP/upK/kkMcxRjg4ODg4ODg4ODg4ODjsELKmGrohkZvzXX3umw2J3JysqYb+yCYHA6uVUl8rpbLAC8CZbXyvAryAG/AALmCjUiqplPoAIN/mEmCf/PEapdQngPUj++3wA+i7ugNCiL8DpwGblFK9WzkvgAeAU4AkcL5SaslP28uflnQ6TY1pYiiFLgQhTcPr9W5XOwkzhqkMNKET0MJF7eTSaerNGIYy0IVOiRbG1exzcuk0MauWnDJxCY2wLGtRp03fx0pjWApdCkLSu13fx6F9oSwF8QSYJmgahtdFba4GS0gspWMphUtq6GTJWem8RkupMy1yClwCQppGwqzFVBZSSNwKNL2UWiuOLlzklIZpgSZBFyaGyhGQHlKWwLAUmlB4hIFPelBmGtPMIqWGpvkQuRTCHSBnJEB6iJNr1LmrDJfL0ahDI5ayqM3Uk7YsLAVuoeESWbJmGpd0k1N+DAW6AJdIYlhZdOnCoySWMlDKRBMu3FoAma4n6yshrrIYSs9rFfyaRsoyMSwLTQrC0k2dVV/QZZkMIs0M0lOCprt29U/i4ODQgUmn09QrA8MSWAo0AbpUWGSwlIkCLGWiCYFPuDCVgWnl0KUbS5mYmLjQ8SoQegk1VhxDmehCIySDaKZJtUjn16AaJcqFUjkywsJSFrrQCSoXwjTIaRaWUkjNhVt5ENkc6DoEgnZnE3EwjEKZkBJlWZCIoYwsQndDIJwvL16bEAwgpNilv3VHI2uqod/UZt+84aMNnTYkDLoF9O53Duv2Zo8y9xluTczdzmb3BtY1OV4PDGml3n8KIYYDq4A/KaXWKaXmCiE+AKKAAB5SSq1s+iYhRAg4Hfue0+EnZJcbI4CngYeAZ7dw/mTg4PxrCPAorYuvQ5BOp1mTSjNu7mKiyRQRv4+7hg6gO2zTDXw6nWZD+hseWnANVckoFf4IVwy+j270wOv1kkun+a6V83vTo2BsyKXTfJ1ex5jFdxBNbSLi68KkATdyAPu22SCRTqdZk67l+vlTiSbrifhLuGfIidv8fRzaF8pSqA2byT31KipWB//vVNYe4OaxVS9wbo9zuf3jaUSTtUT8ZUzoP4rJn91OqaeCkw69ibFzPy5o/+6h/ZnyxUSWbphBhT/CjcP+wfr090z5bhYn7nU6Y+f/m2gyTsQf5O4hw1laPZ/+FUOK9DbhyGF09sQJaUGWzLiRdKqKwcdPRLMkZraGzRuWYu0zsKXOA/s6BgkHwDZErE1EqUynuW3JlIJ2bz/yZBau/ScD9v09ExZ+WtDt+EGH8NaKm6jNVnLl4El8veRx1q+bSSAQYeTPJuHXQ0RzMWoyglsXzSto+J4hI3nq8/nM3LCmMFZ+XDWP+1Y+XtDl/t6uWPUboKSbY5BwcHDYKaTTaaKZFNUZg9sXfdI4tg3ui183yaoaxi65qzBnThxwA9M+f5S6TDW/7HklT308vrC2HHPUQ9Rm4lyz6PZC/QcH30bGyhaV3TfgRgJWjgcWXVt471V9b6dMuZg/cyypeBRfMMKQY27H89o0RH0drvMvRekujL89iIpVI8LldlmXbrD5azLPjkbVRBGhCJ7z7kd1PhA2VRXWJiJciuuCs6BbZ8cgsQOpThuTGgwRABsSBjd8tKHTw8fvNalbwHX0Tvzot4DnlVIZIcQlwDPAcUKIg4DDyXs9AO8JIY5VSn0IIITQgeeBvyqlvt6J/XNohV2+TUMpNQuo3kqVM4Fnlc08ICSEiPw0vfvpqTHNgiECIJpMMW7uYmpMc5vaSZixgqEBoCoZ5aEF15AwYwDUb+F8ff48QMyqLdygAURTmxiz+A5iVm3bv4+VLtwY2t+nnuvnT6XGSm/T93FoZ8QTjYYIIH5IJ0YvvoPT9z2pYIgAiCZrGf/xNEYdfAlD9zu3YIiwz6UYO/djhu53LmBrNIPimsV3cMZ+pzF2/iyiyXi+bpyx82cxvNuIFnobv+QjNiarSWO+ocAsAAAgAElEQVRw8BHnk4pHWTD9WjR/KQumX0tpj5Gt6zzXdp07dGximVrWJzYXDBFga/emJe9ywkGXMWHhqiLdTli4ihMPuZyqZJQHF4xh34NPByCRiDLjgzHUuATfJWsKhgj7fXGunz+DU/fvmT+2x8rh3Ybbx3ld1lkpUAZWouqn/hkcOiiW5QTSdyimxsrwfSpVMERAfmxbsIzN6Sw12UzRnHnt4js5av8zOeXg3xUMEWDP29+nogWjQ0P975IbW5Rds/gONuVqit7712U3UWPWkIrbZal4lPmzb8I64WeoWDW5px+Dqs2omH0bUSiLVxUMEQCqJkrm2dEQrypam6hYHbmnXrU9JRx2GKZFpMEQ0cCGhIFp8WPu374D9m1yvE++rIBSqkoplckf/g0YkP/7F8A8pVRcKRUH3gWabht5AvhSKfWXH9E/h+1klxsj2kBrbjl7N68khLhYCLFICLFo8+bNP1nndjSGUoWBv4FoMoWxjWsFUxmFAb2BqmQUU5n5z2n9vKEajR45ZRYmikJfUpvIqbYbRgxLFW4MC20k6zGcHVhAx9FtC0yzMNkDZLG1VOoqK9zMNRBN1uJ3h/G7ylvVvt9VXjg28prUcBVu4hrrxlFKtKo3lx7AVAYuTylgL2gsyyQVj9rX3I/U+Z5Gh9XtFshaOXyav1XtCuHeqm6rklFcnrLCuUTCHmft9lpquNTlaXJcj2oy9jfoUgkJVvFCz2Hr7GmabSvLXk8z/+k0SjkGid2RXaVbwwKfprc6tvk0Nz7NX1ye2oTfFSLgLmuxtnRr/hZzrE/3tjrvupu1W5WMInVfUVkqHkUF7DIVq0a4PUXnVawaTKNgiCiU10TBzBWtTez6dWA6i9IdiSaJdgsUO993C+hokugW3tIWFgIHCyF6CCHcwLnAm00rNHtYfQbQsBVjLTBCCKELIVzYwStX5t9zO1AG/PFH9M3hR9AejBFtQin1hFJqoFJqYOfOnXd1d7YbXQgi/uKBN+L3oW+j95gmdCr8xQbICn8ETWj5z2n9vJ4/D+ASGhFfl+K++LrgalLnh9ClIOIvKW7DX4LeYZT34+goum2BpiHCpYVDN7aW6nK2e3tTIv4yktkYyVx1q9pP5hodp/S8Jk1yRPzBZnWDCKFa1VvOSKAJnVzGXoT4ghGk1PAFI/Y19yN1vqfRYXW7BdzSRcpMtqpdpbJb1W2FP0Iu02jECATscdZur6WG63KZJscliCZjf4MuhbJA7g67LNsPe5pm28qGFSZ1UYtcclf3xKE1dpVudQkp02h1bEuZWVJmsWAivi4kczUksrUt1pZZM9lijk0Z6Vbn3Wyzdiv8ESyj2CDiC0YQCbtMhMtR2UzReREuB01HhIr7IUIR0FxFaxO7fqkdeMphh1Hu1cfcOaxbZYNBoltA585h3SrLvfqY7W1TKWUAVwBTsQ0JLymlVgghbhNCnJGvdlU+Recy4CrsbBgA/wd8BXwKLAOWKaXeEkLsA9yInZ1jSdN0oEKIQUKI9cB/AY8LIVZsb98dtk57uPp+0C2nIxHSNO4aOqAwATTEjAhp23ZjFNDCXDH4vsKk0BATIqCFASjZwvmS/HmAsCxj0oAbCxNGw57lsCyjrYSkl3uGnFi4QWzYBx2Szl78Dk0wgOuCswqTfnBVJfcPuJG31k3hpv6jCjd1DTEjpn35OHPXvsDdQ/sXaf/uof2Zu/YFwNaoB8F9A27kzbWTuXvI8MLNXEPMiFkbZrbQ24Qjh9HVX44XnS8/eRpfMMLg4ydiJusYfPxE6r6Z0brOXW3XuUPHJuwpY59AZ2458qQi7d5+5Mm8v/pRxg86pEi34wcdwtRVD1Phj3Dl4Ems+/ItgELMiFBOsbc/xK0DjyrS8D1DRvL2t5/lj+2xctaGWfZxXpel0gdCRwYqfuqfwaGDYTZxuczEHc8Ih0ZC0sNePh83DTyieGwb3JfOXjcht6dozpw44AbmffsG73z5DBf0n1C0ttzLF+G+gTcV1d/b37VF2X0DbqSLK1T03qv63k5IC+EL2mUNMSPk+x8U4kNQ0dk2QEBjWbACz3n3FwwSDTEjCFYUrU0KMSOCgZ/iZ91jcGtibo8y9xkPH7/X3JdO22/Nw8fvNfdHBq8EQCn1jlLqEKXUgUqpO/Jltyil3sz/PU4p1Usp1Vcp9TOl1Of5clMpdYlS6nClVE+l1Oh8+XqllMiXF6UDVUotVErto5QKKKUqlFK9ftyv4rAlxO7gmieE6A5M3kI2jVOxLWGnYAeu/KtSavDW2hs4cKBatGjRTujpT0NjNg07MvuPz6ZhogltK9k07OjGzbNpKMvCyKaIWfEm2TSC6G4fQrbdjtWYTcO2tneAbBo7JcpRe9dtcxojVtvpLraeTSOT1+gWsmlgIZG4lUDTS34gm4aXlEWr2TQsM4toJZuGkB7qO342DUe3P4ItZdPImWn0fDYNMx9xfqvZNPQgMlX3A9k0FJrEyaZhs8N1u6do9odIxiw+fMR+wnzkuR46H+h42+wgOsRYu+OyaQiEHtz+bBqWQU7+iGwaZhahtZZNI794cLJpNOD8CA67hF0+8wghngdGAp3y7jDjsfO/opR6DHgH2xCxGju15+93TU9/GizTQNR8Q+61azHqoqjSCOIXE7E6H4zUtu2/y+v14t1KrBiX10v51mLJJGIYj/yOYJN9d0Yogv6HZ6Ck7U/lvF4v3ehwN3YOP4CQAkob3dBdQCd31xb1lLLIbl7NpldGU1cXRS+N0OU/78dVcQBs+hpvs2jYomsXfHLrTzFK21CqDJP0A7+GmigKCGI/PfH+4RmE39GrQzFSSMLeLXvLNNVxoomOdeEm+/crChqW592P6HoQXimLRkVVX0X6od/gajLeqlCEzn94BlHS9LpxnuA57Bhy6caHUVnHM8KhGfYa0n4wpTauJvPsaFynjcFY8hZi2LlsmnIbRn6sC581CXeXgxFiyw+qurUydnVtZbZubYRr4RvcvFJJy3aElFBS0eIOu/naxMHBYdeyy7dpKKV+pZSKKKVceXeYp5RSj+UNEeSzaFyed8npo5Tq0I8zrEQlm/KGCACjLsqm167FSlT+5H1RRrbVAEDKzP7kfXHouJiJGJteGV2s+VdGYyUqW4+GnYhtrbk24+jbYUeyJR2bsfVt0rCjR4efGiPT+t8ODkUkYo0pMn2lyAGnFwwRkB/rXh2DuYPmZgcHhz2LXe4Z4VCMMg06//4lYlYW07LQpCQs3ajU1rKfto693cPCUApdCEKaLNoe0bgdpOF88XYQobuR4z8kZlqYykITkrAmEblUax/3A/0wmmw70dv7Ng2HHYgys4VFTQNGXRTVLBq2HD+LjFmHqWnUJzfik37SpoahLHQhKdEk9aYq6DmoQVJlMS0w81tCFAYKi6B0k/B44Ob3QbmwlEIXiqAGmy0DI7EZDYFXQkAGcXkcvTpsnS3pGHdxADhx9YvEzDq0VDUIDylTYCgLjzeEedNHBf26NYusaVKHxIzXI4VAiBwKhUtodnYYZQBWiy12Dg5twWjiGZHLOJ4RDsWk02lqrQw5KdGu+CeaFCjhImmBvv/LSKXQhEBKE68QVFoZjEQlmpD4pQtTSTIWhS0eUhr57R0Kr9TJmWlKpRssC0NlUJaFlDoyP74pZaJJDxYmlmWgCR2PO4yZrsFSBlK60JVA5DJYbj9ZkcWyDKTUkNKNFBKlTJSZQ+pecsrENDNIIdGQCKnh8ZUXeXMoZWE22dqhBcII0bDlI44ycoBE6TrCMMAyQUpweRB+v7Pdw8FhO3CMEbsZpq+cb9K1XL/gVaJJO/PAPYPPooevnG3ZIZxOp1mTyjJuzgqiyTQRv5e7ju5Fd2zXO/t8mnFzFxNNpgqBMhvOA2RcAdakEoydN5doMknE7+fuo4bS3Rdo86YL+3NSjJu7pMnnHFn0OQ57NkJzo5dGim7k9NIIIh8NW9VEkeNnUZ1cy+batbjDB7C2fgP7B/swbu4CoskUwyNd+e+eh7bQu0ca/HHe20ST9UT8Jdw28HhWxlbTt9MB/O2L9zi3xyjuWLy0SN9PrnqDmRuXE/GFua3/L+nqrqczEccg4bBVtqRjso3GWzl+FhvSa1lVuZT+e59EVSrHuLmLKfd4+EOfnty+8IuCfu88uhcuaXDNnDkFfd44oB8vfDONCw79D95bv4Rjux7Eh189xc8PvYi96OEYJBy2CaOJAcJ0jBEOTUin06xJ13DdglcKa9H7h/wXCQTVGaNorJow5DBK3Io3137Ic1/PZETX3lxx2FlUZzLcvmhZYe03fnAfdJniH1++z4WHjmJp1RKOrOhFRS7DrJnXkUhECQQijBg5kU+WPUkqXU3fAVfy/vzx1CeilAQinDLsPqILn6RqzUy8JRF6D78V15dLSfc5mgX/vo5UPGoHqT7uXjTNzfJ3/4jLV8HeR1/JtCbtnDB4POuWv8DhR15KaflBtsGhyVY7o/mW0Y0byD39mJ1KtOcRuE44mdxzT9rH4XL0s89HlYaRncodg4SDwzayWwSw3NG05+BU0WQNn1Z9xxHhQzCVQBOKT2Kr6FOxNxF/qM3tbEgkuWzGMqLJdKEs4vfy6Mi+dAv42ZBIcNnMeUU5pCN+H4+OOIpuAXszXjQR57JZM4gmk03q+Hl0+Egigbbtt9uQiHPZzPmtfM4QurWxjd2QDhGcakdjWQaZZKUd1AoF+cndUiZSaGjCTRwwACEEAnBJFzkrh5H3vPFIjaylMJVACkVQeohbOXQ0DJTtLSQEAo3LZs4t6OruoQN5YOk3Bb33CpdyYc+D2b8kgBAm76xdxuNfLCDiL+GRYWdw6ZwHGd3rv3hg2eoW+r6670Fcu+gJ+9gX5tY+J9KjZF/KA1uJr9I+cHTbRpSySKarsSwDlMJSJrrmI6XKyFqgCQupZTGViVLS9qyREoGFoWx9e4RGVlkYVl7bmkLH4rZZv+ZPxzyFpIQ/5Mfg5voFe7z+87F9OOe9d5qU2fq8f8XLPHDURVw970lu6vUzXl5+Fzcc87eOoNHWcAJY7iS+XZDj8/eyCAl7H6HT61TPru5SR6Hdj7XRZA2TPnmfs7sfS1dfCE2CW7NYXVvPxCVftTJW9canKU6dfisTB16MR4SY+PGKFmu/B4YPxFApHv7sbUb3PpNL5l3DX/tcjZWJ4fKUkcvUsu7LtzjwoNNRwIyPJ1GfaDTwlgQijOo7hs+nXAuAtyRC39Mf56N3LyEVb6znC0Y4etSDLHzxlxx20kSmLWvZzvH9xvDZvPsZfvozeP0VGPEqos/9roVBOfKbpzAfehAVsz2UXb+7GOPN/yscA3mDxAWIigoECjStPQbGbFeddeg4OJ4Ruxk+6aG7/1DGTM2yMaHoGhCMH3koPpnbpnZMRdFkAfaxmbc9GYqiScI+n6JJpi9MZRXdqNl1kpjbYMAyt/A5Zsezge3RWJZBffWXrPz4SfbtfS5LVz3PEYf+in/Pn0B9IkqPfUZyYJ+ruXbRs0RTMSK+MH8efCE5leC6hU8TTcUY0bU3Fx16GtfPn1LwZLhnyEks2/w9R3Tah7HzZxBNxon4gzw87KQiXZW63UWGiD/06sX9cyw2JtL5a6g/AI9/sQClIJqKUeYOtKrvMndjZKxoKoZb92Mq8yf4FR12B5SyqKpZzfxPHi1o2OfpRP9BT3LrjMZx+fpjNTQ9yQ0LZhV0ecuAo3l4+Rz6VXRj1L6HcX0Tzd49ZCRBFxy73y+wsFBKFTTcVL8NRJNphBDNymx9RlMxNCGJpmL43SGqklFHow7bTINnhNsvMLLOpOzQiEDy2x6ncO9HsDFh0DUguHWkm7DH0+pYVZvNktHh5j5n23Oo0lpd+1Wm6xn/8T+4ud85SCGJpjbh8nXigaU3UZWMUuGPcEnf8fi1IDkzVWRAAKhPRNE8jYGE0/VRLKwiQwRgH+e3X2ieslbbcXnKSMWjWJYdl2erW0abGh58gaJjwPaQKA2Qe+h/UbG6xpSh3Tq3N4PEbo0Q4iTgAeyYpn9TSt3dSp2zgVsBBSxTSv06Xz4FOAr4SCl1WpP6VwB/BA4EOiulKvPlYeDv+fI08N9KqeU779vtuezyAJYOxaQNFxPyC16AjQnFhBlZ0sa2pXHThCDSLCNAxO9Fyy9udSEKuaMbz/vQmyx+NSGJ+P3N6vgLbbS9Hy0/Z1vacNj9ySQrmT/9WvY55DTeXzCBww44vWCIAOh+wFkFQwTYN/malAVDBMBp+x1VMEQARJP1XD9/CsP2OrBgiLDL4xiWVaSrumy2oPfzDjswb4govoZO2a8vEX8JQtgeD7XZRKv6rs0mGo99YbJGEk20iOXt0EFJpmO8PetPRRru3fNP3DrDKNLUPR8qajOySJe3LZ7DeYcO4LTuvQqGiIZzY+fPwFSSQfv+HIksGhub6reBiN9Lc8/FBn1GfGFMZRHxhUlma6jwRxyNOmwzRkYhddA8TgBLh2ZYvrwhonHMu3VGFr/ma3WsimVSXDfvAwZ36UVtNkHaMFtd+9VmE0RTMf5n6Yt2ma8Lm5LrqEraa4WqZJTHl03AcnnJZmopaebtVRKIYGZqC8fekghS6PiCxfV8wQgoCwBzC+3kMrX4ghGkdAONW+2aUtgyGi4vlKlUougYbM8IVVmDitXZdWJ15J561U4h6rBDEEJowMPAyUBP4FdCiJ7N6hwMjAOOUUr1wjYyNDAR+G0rTc8GTgC+bVZ+A7BUKXUEcB62EcRhJ+AYI3YzTNU4+DewMaG2w5PA5IaBBxcmjYjfyw0DDwbsp2eazHHn0CMLk0XE7+POoUeiNfHACGs6dx81tHDD1rCnPrwNKUaFMLhhYK+iz7lhYC+EMLb1CznsxliWQSoeRc8/gfC6i59E6J5wwejQgEQUlZW6AgVDRAPRZH3+CXK8qPy5VZ9w19ABBV29s2Yddx3di4jfS5nL3eo1ZCnJbQOP58PoMu4ddD6T183hxgH9Wuh78ro59nE+ZkTE35kSPfwjfyGH9oJpZVto2OXp1KqmfJq7qCyajFPq8theC800G03GEUgsYEX0A3SZLWj4uc9Xc9OgQ4vG6zuH9sJQuSJ93jigH5PXzeGeQefz1rfzmdDvLOatfZUrB91HieZo1GHbyGVAc9ke5WbO8YxwaMRSotUxTxeyxVh165DDeHbVMqLJOKZSTF43h4jfy00D+xat/W4e1JtnVk8B7AcSCSPFpIE38c7njxd9TlUyStZIseLTZzhhyISCIcGOGTGRzZ9PBmxDRM/ht6DnDAYfd2/BINEQM0IpE29JhO+WPMOoZu2cMHg861dNZsgJ9+Px2WOnFgjb6ZjzBomGmBEyUIHr/EsLBghj4Txcv72ocCzC5bjOuxjjvflF30PF6sC0fux/Rbsla6qhG+PWnO/rrW82xq05WVMN/ZFNDgZWK6W+VkplgReAM5vVuQh4WCkVA1BKbWo4oZSaDtQ3q49S6mOl1JpWPq8n8O98nc+B7kKIlvnpHX40zjaN3QxNQNdA8STQNSDQtsOR4KWvP+HqfodQ6vZQl83w0tefMOaIwQAYymTad7OZNGwYmtAxlcFbaz/i7AOOKbzf43HTHYtHh4/EzEdNDmsSj8e9pY9sgYXixa8/4qp+/Slz+anNJXnx648Yc8QJ2/6FHHZbpLSfTBj5JxDprP1vw82ckbG3ZjQ1PlioorK6XIKIv6TIIGF7Mggi/mDRzd2iyg1c3vtIHh0xtJB9oESTPDqyHygXXQPZFteQLqCrz08XX2+C0s21fX4OCB4bPrJJNg3BdX1+zujepzvZNPZQNOluoeFcppKugfIWmko1S7sZ8Qepy2UIeXwtNBvxB1FYaAgGRkaioYj43AUNe6TkwRFHYCqwlMU/V31CXS7NY8N/hqmsQjaNa/r8HJfQOPeAYbiUQfc+1zrZNBy2CzOrkC6B1AXmtu0EdejgaMJqdS1am0uyb8DLwyP7YlmghGL8whksj20m4g+iCcnlPU9h+ncLGdjpMB4ZcRSWgg2pKv668gWW19gPnyO+MAHdix83tZni1PUV/gh+bznHDr8DTbr5+dCJmLkULl+YzLI36X7g6fTo/RtUqo7kwhcIHHcNQdmJYaMeR0kLIXWkdAGKniMn2I3mLE4dcDPSU4LLG0Kk6ikfeh3eQJdCNg0hJO7OBxH57TNgZqFpNo1ue+G+8jqUYQACpbtwXTamkE1DSRfUFXtBiHApaHvmM9+sqYauqbHenDAj0ym/tbH7+JGeN7uH5BluTczdzmb3BtY1OV4PDGlW5xAAIcRs7K0ctyqlpmzn5y0DzgI+FEIMBvYH9gE2bmd7Dltgz7xKdmNCusH4kW66Bmzrg73f3U1I3zZPgpCmc8FhR/DnT+dx6Ydv8+dP53HBYUcQyns1hKWfUfv04+r5D/GfH4zn6vkPMWqffoRlo9u6kYzx5fNn8/1TI9j495F8/9QIvnz+bIxk23NJh6WXCw47hj8vn8Ils//Bn5dP4YLDjiEsnYVzR8Lj78SQ4yeyftVkThg8ns+/fovjhowvPIlY8/WrTBx4HpH8E4iIL4xpWdw76PxC2eS187hnyElE/CV2nXzMiI++/4q7h4wk4g/my4PcM2QkfiTdAn72CQboFvAT8HrpFvBt8RoK6hlKar+j8sXfseqJkcSn304gHuWb18/li3+O5KvXf022ciXVk/9E9Uu/pwJByNfJMUTsYfi9YU4d/uciDS//7M/cOlIv0tT1xwrKPFaRLm8ZcDTPfrGYyWtWcE8zzd49ZCSasPArAxX7ns9ePQ9Zv45Oms4+wQAlUhDPpbhq9ruc8/4rLKqMcsFhfQlpEJ12BWtePxdv9ZfUTP4T0Rd+Q7mC8kBXygMRxxDhsF1YBkgNhAaW4XhGODQS1i1ubTaPXjNMgMgydsEHXPbhO8SNJH/9dF7BEHHPkJF8Wr2Ksz+4lzfWzUNTcT786A98vepJ/C5BVcbewhDxhbl30PmEpU71nEe4vO8EKvz2WqHCH+GKvhNIvTqWxLT70eqrqHvlOmr/eTGJDx6i5LBR1L4/icp/XUzt+5MIH30J5qvzMG57Gu2ht/BuVniSLtyecjz+ClzuEtZOG8/q1y4l+t7tuFIJEtMm4UIWGSIaEEKiByvQyyLowYpGQ4WUiJJSZLgcGQ6jlQSR4TCyopNdVhLEdcFZtgECGmNGBAPsicRSalKDIQIatstmOsVSatJO/mgdOBgYCfwKeFII0fbo/8XcDYSEEEuBK4GPaXAvd9ihONk0djOseIKsrlFj6Jj53Mwh3cBtmMhtGNSMuo0Y7jJqTANDWehCEtJ09GwteqntZZROpxEpE2kqLE2gfFpRus1MXRTlDlNjCgxLoUtBSFOIbAxPaduitmfrNmK5S4hZWTsTgpSEpRuZrcdd2m69ndp9pOydwZayaShlIrYxm4alBGIL2TR0KQlJDU/WRJS2zMii6uJk3Dq1ho6hQBdQphuYmz7l6+kTyNY3bh8p6zGCfUaMIVO/ATNdh3/voYiUKlwTWZ8AcuTMOF7hASuD2xtG19vlzZ+j2zbSkE1DWWZBw9oOyKbhyetcZWsR0oVIStxeH6I0iFVTTdbrz+vPwtIkyicgGyNT/z1muo6Ni5+mxxmP5cdk0PMR7v1IkmYMUxloQscvvRi5BFJquL3l6Hq7zpLgZNPYSSx6Pk26zsITFKRqFMMv9//wmxzaQocYazPpNAlTI5A1kaaF0gQ1boECpDDRpCBr2WOcLiUlUpK0MmSViSYELmWgCUkWD4YCO46jAShC0gtWGkuZGAJyysBSFi7NY5dZOXShU2J5AYOMMOzMXFJHQ2KaWTTNTQ4L0zLQhQsPGspI2+sNzYPwlkE6jWHF7XWIlEgkCA3pLyObrsUys0jNbW/VUEAihjKyCN0NgTBCtv7M1srPETkzgybcZIT9Hd1KUJZT9pPekiBSb1fPfHeYbr+vt74577VU9+blz/7Ct2avEtlje9oUQgzF9nQ4MX88DkApdVeTOo8B85VS/8gfTwfGKqUW5o9HAtc0DWDZ5L1rgIENASybnRPAN8ARSqm67em/w5ZxtmnsZoicAbqGQED+hswu3zZjnHIH8+Y7tz3ACjCx0Nz2zZuRTuOqzJB7/GOM6hSi3Ifrkv4YnUDPGySUO8yapMm42V+xIZmlm9/NXcccSHd/2/cmK7cfkAjlBhRCCUDmyx06EvZWjW5brdP0f11ZFiRiWMokk47x1dtjyNZHcZdEOPC0+/F1snN/B2NZMv/zcIu2jDsvpz4RRddKSBk+DEugS4XHrSGx3UdRCiUEcUthdOrF3ue+REZZBcOYX0pqTDDKQpRVaGibM5hPNF4T3ov7U1eus75+DSFPiNx3S+nUrR/BUI/2apBwaANCSAK+Ti3Ki83BjdvVLNMgXfVVCw2H3N3ITnjMrn35r8g+/Lzdfv596s7LiQPJuInUyghXJjAeX1LQn37JkSQqwlARJmtadDrtKNYkraIx+c5jDqTElaEqsYa/zLucCn+EKwfdR+qb2az98nUGHz+RYOiA9m6QcNgJmDmF1Bq2aXS8B1MO208unSZhGpTGMhhN1ollF/cnGvDhdbuwlAko3DJJThnEDIFb2g8eTEuB8JBTgo2pFIZl4tN8hNxlSKGoVTmUsA0NOTPF4pV/I5WJMbzvVcQyKYKezmhSYkiFT2psjn3Bok+fJJWu5ORjJpIVXhAeauLrmbviQRLpSs45ZhKlrjKsdIK0BtnMRnQl8FfV415Xi9l/XwxhYWFixqMk6r7lyyVP4vFXcNiQ0aAUsnYT3pwFvhIMMljY84EmJFJo6J4QpNJsyq3nhdmjCXg7MaTveG5e8m4hC9jEISfRPZFBy+VQncr3yGwamiDaNSC6t7LlPLqVt/0QC4GDhRA9gO+Ac4FfN6vzOrZHxD+EEJ2wt218vT0flveoSObjU1wIzHIMETuHdmWy2+OB0d8AACAASURBVBPI+DysTbgYPTXD715PMXpqhrUJFxlf2+M0AGTRWJ+Ey6dHOWfyOi6fHmV90i4HEGlF7vGPUdV26iVVnSL3+MeIdOPAUWOKwqIXYEMyy7jZX1Fjtn1gVbhYk0pz2cy5/HLKB1w2cy5rUmkU25YdxKHjYbs9VmBpWuEmDiBbH+WryaMbtwNpWsH1scCdl/N9ai2rqlewIeErul42JdzU5eDy6d9z9uR1XD79eypTgpe/XMPmdJb7ly3grGmv8vLqlURT2YI23SmF+UTxNWE+8THBrKRLSW8eXHgN5d2Hs2D6tWTTbd+q5NDxMdO1rWtYpAvaVclUsY7vvJyUlSGa8DJ6aoaNmzIYjy8p0p/x+BLcKUV1JsvLq78hnrNajMk3zP4KQ+l0KekN2MHfHlx4DV0OOZlUPJrXa3EaOgcHaNymIZ1tGg7NSGLhywiMZutE9cTHxGMGY6Zm+K5O8JfF1cTSXj6MrubmRW+wLpHishnz+M8pM7hs5ny+S6R465vvkKqMO2bonPdamjFTs6yvh/s//ozvkxkeWPERhx58ISOPuIKqrOTGJYs4e/pLXDH7bdYlk1TmTOZ/9SqD+13O3l2GsBkvf1j8Lr+Y/iQ3fDqfwUfcQMDbiRdnj6Gufj3rSPH7+eM444MLuWDBOL4uSVLbt4LVn71ArH4tr0y/kOcmn8l7i+/i8KHXsvcRv+HpmZfwlyln8vdlt1AZ0EloBlOmXsRrr57G1CkXUFu7hs9n3UGiejXx6u94YfZoapJRBh1+KTcv+agoC9i186dQU+rDMKpQzdKH7ymEfWLM+JGeyuLtsp7KsE+M2d42lVIGcAUwFVgJvKSUWiGEuE0IcUa+2lSgSgjxGfABcK1SqgpACPEh8DJwvBBivRCiwcPiKiHEeux4EJ8IIf6Wb+twYLkQ4gvsDB5Xb2/fHbaO4xmxm1FruJgwI9MsLWGG+0/0sC3PYetNyT+WV3FNv86E3Do1WYN/LI/xxwEVBLAXHg0TTAOqOoVlKBoSxBmWKix6G9iQzNoW7zZSY1q8v/Y7Hjp6GLrQMJTJa9+u5pcH9WDrz9AdOiqZTJqYWYtPBkmZAkN56Hz2S3g0RdLMIoUgIAV1ZhJvOkGdnsV/7W8xDQ/KEvZjZcvE792LHq5D7Bu5ZtfLfaPcRdp/ekWMS/r2YPTsOVzd9xBmRtdyevdDGf3RwkIudGkqjFauCc1UmEpRlYxi5vOZK8vZNrgnkjUMqjPZwtY3j6ZImCm80kXnc/6FUOBWfpSlIYQiJRXp0b9DoXBrFr5r/x8CSY0pMA2Jjo8JM9JsTCjKXbQ6JmNYRDM5TuuxHxLZ6pgskZiqUZMNWgUcvTpsESuncPkEUgfTSXDl0ISUCe4trBO7eey59o2VBlf270wiazGq2wD6hPfnpvnLC3NqucdDxhRccHhvrmk2T98/Gy4ecgD/s3ApV/Xrz/ULX+PxYb/l5nmvF93Y37bk31zXdxiHH/BLXl84gbNHPMWlc18hmqzN16nl5qXv88jQ+6is+wKtdF+umzeWaMpOohBNbeLGZX/h7l4Xs2+vs3lj+kWFwNo+byekJ8Ars66nJp9atCYZ5aWFN/GL/uNI5OslElFmz5nA0QPGsHzaGA477ZFCfY+7vNUsYDmlyKU3oQXKkOx5cSPcmpjbPSTPuP9E7yRTEdEE0bBPjPkRwSsBUEq9A7zTrOyWJn8rYHT+1fy9x26hzb8Cf22lfC75gJgOOxfHGLGbYVqtp1My1ba5eUng/IM6MfmDHDXxHKGg4PyfdUJit21qAlHuK5poRLkPq0naDl0KuvndRYvfbn432ja4nOlCcOZeh/L821lq4gahoOCcUYeiCyd0d0fFyKVJZeztF1JoSASg0PQyaiyTrGkhcFGbyTF27mKiyRQRv4+7hg5g9oYVvLFuGfcMPosSkWNTrpp19VX08vXm+alZauKKUFBwxs9cuAMe3KLl9VLuFVgZwewPKdK+V7OIJlOUum13dSlEYdEEYG3lmtCEoMIfQUPiC0YQUsOhY2NZBtlUDEPlAI2sVsLmdI6xcxcVafaLmq/YO9iFF79azMXdT+GN6Tlq4llCQcFZIz0Il+CxVas5v+d+hD1Ql9UY9+EmNiQMXji1e0G/1TlBeSv6MzSJDxdSCCzLanVMtrBwicZxuUGrgKNXhy1iGuDWQGoCZYKy1B7pUu7QElMpTE2gtzIm+bySkw+AU3u4eP6dTH5eNvjViRWUezxEkyl6hUNc1rsvd82v5uYhJa2uazt5fUSTKcpcfqLJWkzLavXG3qe78GhhAt5OmEIvGCIa69SyMRPn1s8+YOKg/alwhwvGCLANEprmx7RyBUNEl4o+DO53OclsbcGw0EBNMoqu+4rKEokoureMdH0UTdMJ+SPUJKNkstWtZgHTUQiXD6X2XEOwWxNzuwbF0bu6Hw67P842jd0MTapC9OIG7H1W2+ZCqSstb4iw31cTV0z+IIeu7EVpwq2R/n0/RLk94IpyH+nf9yPubly0ejXFXcccSDe/vUWkIWaEV2t7X6Tl4sVp2aJ+vDgti7ScbRodESOXJlb3Da9Ov5Dn3jqDV6dfSKx+LYl0nDWpFJfOnMl/TZvKuni2YIgAiCZTjJu7mJP27Uc0Wcv1C15Fc5Vy3cKnGRBqNESAraE3P8hRWa/QJC2ul98f4eL5qZkW2ncpjYjfR102A4ClVCEHOsC06k1oF/cvuia0i/sTd1tsql/OlYPuo3rNLAYfPxG3t+1xUxzaH5ZlEK9dS23dtyxccB/rM4LPa+oKhgho1OzgLr257eN3+MU+Q3hjOkW6e3VGhmxa58z99+WGuZ9hKW/BEAFgWo3j/ROfQ+r8/i3G5G9MRcrMYSnFv75YzZ3NxuQ7jzkQXRhsql8OUIgZsWnVu/iCkbxey3/S38+hfWAZIHVBg63K8Y5waEATgq+tHOKi4jEp97v+vL5I8eteLibPKJ5nn5+a5bLDegHw20MP5a751WxIGNRljVbXtQGXPSfX5pJE/GUIQSGbVgMRfwkpI0cmG+PYXhexKb6GiL+sWZ0y6nIJoqkY1y58mosOOa/4vK8LppkEZRYyfB3Z83e8vnACiXQ1IX9xQPaQP4JhFHuEBAIRjHQt3pII7uqNnDPgNkL+CAtXPsb/HDmsKAvYXf2G4Y1/j8ql7ECYDg4OW8XxjNjN0LUst4zwcNtM26Wta0BwywgPupYFfD/4/gaU1bgobqAmrlC25y5Cy1Bb7mXDBUdSokG9Cb6QmxItQ0NgNi8Q8sDDPzsEKx8JWQpzm7aLWJZotR+W5Tx96YikMjHe+eiawtOH+kSU6QsmMOqE5xk7axbR/P5Jr64VeSWAfXOnCn/nn5KkYijVuoYCuo6QWcaP9BS2NnUNCPYtla3WT2ZN7h46gL99vgSAt9Z8wV1DBzAubxT5+xerOXrEUIKjh6Dls2mkfQI3OfYt6Y5PeFDdR7bnbBoObSSTrCQR/5658++i5+BbGLtgAbcMHNKqZk1l6zXkCraqO7cuCEk30WQaS4mCIQLg+ZXV3DKigttmZvisSvGXb91c/8ejyGQMNmYtKHGjYxLxuJj8zVomr11HmcfFI8cdgmXZKeztbBoe/CXdufeEN9GEhl96MQ86if0OObUjZNNw2EmYhrJjRuRXglaOpnFZHfZgBBYBtyDhDlB/3mBK3Ir6rODdT2D9ZotRR7U+L+8fLCHi91Hm9rAhYcf6++dn1Yw5uiuT5uQK8/TooyUZK8PNg/rwv1/N4u5Bv+DddVMYP2A4ExbPKgSDvOXI4yh3u5n3yf9xXL8/8vKSm7m1/w3c+vH7RJO1RPxl3NT/ZB5Z+RYA0VSM/QJ7EfF1IZraRMTXhTv6/pFydD7/9DmOHzye6Qsm4PGUUZOMMvvzZzhj0HjeXDiBmmSUkD/CWYNvo9QVIhCIkEhECQQiHHP0eDZ+8gK9R92HevkuQsB/n3IzZrgbmu7niaEnk87Uo9IxwiKNLl3ooX3QAo4h2MHhh3CMEbsZKdPg5W8+5Y7j+6FJiWlZ/PPLxfz+8MO3qR0hIRQsnixCQUFDSuWMlWNu5VKGdxuEpQSlQjFrw0JG7NWrUN+tuwgBNaaJhUIKQUjTcOtt92qQUrXaDymdYFkdEUsZBUNEA/WJaP6GrTGQU102S8TvK7q5i/h9hSwDEX8ZmpREfGGEaF1DCcPEa+RYk1zJ/ScegalsDyIXVqv1gx6NoOZmdN/BXN1nYCGbxqMjhmIohS4EQjOp9uQISw9m9BPc9R5Ul8OIiwBJy0KTAcKGIp2OIoSGlBpeb7hFrnKH9o1lGWi6z3bN9ZQTTX67Rc1qwtZrTS5OKFjRQndZQ1EjskT8XqRQdAvoBYPE5DX1lHok958YLug3rZmk3B7KBGhCIYTCLTX+66Ae/OLA7uhC4NZyZESOkPSg12/GmPJXAgNPRwXD0PlQYlYOUwbtVMqGIpPegGUZCCnRpBevL+Ro1gEr1xjAEmzjxE7KSunQzrCEwrBMstLi5QVQEwfyjwtCQYGutb7G1DTFoyOPQlmuwli3ojrDY59s5IqjKtgr6GZNfZwXv1rH6P4HUeZWXN7rWJ5d/TxvfjeN3pvnc8uAy+jq7QLKIJ3eRLmrE6cceR2WgNpMJW9/dic39r6EriUH8l0ixiMr32J5zbcARHxhPAr+PuROspaBrrmwEhtZunAiVZWfUlv7NccNGEeJP0LIH2F99af8+9OHObHfGALecvyuUj5d9CB9DvsVRw8Yg8tfjjfQFU0JyoZdhy695OqrUDVR9McvRwdkzxF4Tv0jltuN8O5lb08VLjR/mTPOOji0Aecq2c1wS8miyk2cM/11fvneq5wz/XUWVW7CtYVcx1vCr+c4d5SHUNBeWISCgnNHefDrdqwGv3TRt1N3Lpk7kZ9/MI5L5k6kb6fu+GWjoSFrZFmTruOSj17hrPee4ZKPXmFNuo6skW31M1vvh8G5o9zN+uHGrzv+oB0RKfSCG2QDJYFI/oatMbHnc1+s5KaBfQvbJBr2309Zt5SIv4x7Bp+Fmavj3kHns7hmOb86sVhDZ/zMRacSwZtrZ7JvSSfK9DT+9Bcse/tM3FqCc0e5mmnOhV/P4UtupPyFaXS65THKJ/2Tkuo4XX0+9gkG6Or3IhLfM/ed3/Lyi8cydfH/oLocxpp0PZd++DpnvfcvLv3wddak6xF6KXV1a5g353ZqYqtRDS5HDh0CKXVMI2W75maqifj9PPfFSm4YeEQLzS7YtJxb+p/Ca+vnc+bxFOnurJEe3F6DN75dx51DeyJFmruO7UK3gP0coFtAZ/DekntXPIMlYsSMTZz/4ZP8fPpELpnzBFW5KtzSIJn8htDkGXR+aSqe1FpmTD6X918+gXcmn01dthJVX4X57DXQ+dBW9FoHeoDXXzuDaVMuorb2a+pqv3U0u4ejlMIyG4wRtmZNJ5STQ56AlARcLu5fsYBTf1Y8rp1+nOSRlZ9y+nGyqPycUS4eXjWNiz96murcJu4Y1rkw1lVlTDy6xW0Ll/GXZSv57177813NQmZ8/XcyZh0Lq5fa9bIx/Dos+uwB/m/m73BbSWZ/cC3T370AMkku7387tZlKHltwBW+suIcKb4CqjO2BEfGFuafvL/GmqvAkqtn4/s2snzoW3TRIpyoBSKcqCXgrKPF25txhfy4YJKYunYQysny66EF69fwNa+Y/zDdz7sctPXz10UTm/utUPn7jQlLJTbj/+yFEyF7niFAE19BzUS/cDI9digc37mAX9IDzkMLBoa0IO/Box2LgwIFq0aJFu7ob20U6nWBtOst1c2cTTSaJ+P3cO/QY9vN68Hr9P9xAnng8iq6HSRouLAuktA0UhhEjGIyQTFZhSB9JU8OwQJfg10x0K4XfXwFANFnH5kScLv7yQp1NyWo6B4JE/KU/0AMbI5PBUIqkoWNZtkeEXzfQhUD3tFvX4Z3y6Kg967aBhpgRDVs1SgIRjh88HrcrTLVWzth5cwu6/ssxx+LVXRiW7ZVQnE1DkjMTeLVS6qwMfukpzqahmVgihaFMwtKD+N+pqIAX6z/6oNwuNL2MpKGDJUGCIezcAj7NJGkZ6EgMZWfJ0IWgRNOpswxMyyKou0g3uS5c0qA2l+Ffq5bw1rrPifhLeOzYnzP3nV8xcPAYFi2YxMmnPovPV7Grf/4fwtFtG2mIGZFKV/PZyv8l0ncsYxcsoMLj5YLDe7NvMIhLk3hkYzYNQ9Eim4aUijS5xmwa0JhNQ0k7FpBIoVCUSg8WkoTZELdHYCmFFODVDFKmhakULimRAjKmiV/XyZo6Zn7LhiZyJMwcz32xmLfWfQ5Q0Ov7L48E7L3Pg48aR0XF4e1Bs7ATdNsRNbutmDnF+/cm2aefjrdMsHpmjqEXeCnt5gQ73QG0+7G2LrkJJQNsSGd56rMV/HzfQ6nw+KjweZAuk4whcUsQllZYY6Kl+bR6HQeF9kJDogmJYelYCmqyCVJmGik06rJp3l67nNF9jyGbq+L7ui/pUTEYw1J4NA2JPa5Zyo6jFhBJDCuFZRnoug9TmZjKRBM6HuklqSyyykRH4LVymMnN6J4SlMuLZRlI6UJHYmJiAAiNnNIxAQ3wkgMsdARCaGhCw8qlEEKyavZEqtbMBKCkS2/2H3gR/vJDSBLAsMAlLIKZSiQKmU4jA2Eo6YLU7etIKQsjGcMyswgh0SyBMHPg8iAC5YhtfNC4k3Hcohx2Cc42jd0MYdSznzfEo8NHYiqFJgRhTUcYNUDbjRG6HubbJNzw0Xo2JAy6BXTuHNaV/8/eeYdJUaXf/3OrqvNMTyI1kiRJBmXIAwIqgigIioo5K2ZBQAEVEFEEDLsimNacdg0YEEUlzjBEAQkqSRiQJg0TO1fV/f3RPc00DC58d/cnYJ/n4bEr3apyTt269d7zvqe+M1p4T1FceP2SMbl7K22vQX3nYQsil2KlRE1j2PzN7PWH4wUsXSdQmd2UkhAGIWFgKCaqUFABRSYHPKcjNIudDPeZDD7vtcNuGkKAlLg1BzN79MCQoArIQMd8onf8WJHuIf2utxCpFR9IbqQ0sfmCYPjwKeX4VEt0gIKCTajoUnBQ19GuugAFMDFIUewUGToOTbDPbzAmd1/CM1BQvpc6qZk8Uikw8nTnrrz+yxqapVUjp9ZZjMn1JhyztnAvlzdqC8CXu37BMCU+nxebNQ2fz4thHL9aKImTH4qikZJWD6s1lQ4dHwIhefXcnoRNE0WAqoRwCzvB8l1s+uEhAuXeaLHIro9h+3IGlBViv+stcGbg8vnBCIO0ojjTKPXtQ0dBKDasqpWwqWGYJkEBBwOCNzYUcnnTNJ5acSCBg6/98iOLvXvwOJ08mt2BtQf20q1mU8bmHebqk91qMO/3rQlc9frLEuyYfT4vFs2R5OxfHBXFKoVGsoBlElVAJWzqVLPaeLDt2RjSxJAmP+zdTLushpX6qcT+p5HbwyfbfqFLrXo8uXpV/B07tn17Zm7MY0PxvvgZbm3eHoviJDO1DdN++oEhZ3akbkomJUGFcXl7E/o/FweZ++OTpNgy6d3ufoIRHw5LCqqU6CiUh4oIBA/y8/ZP6d7sBqzC5P0Ft8brQFzR9Rn8RpA5296je6M7EmpOTO1wKaHNH1OvXk9SbJmEjQDbvhpOg/7PkNXsYmq1vwmL1Y1q6Gz8cSbuVg8ybuW2+Lh4cnYW2urnqN36CtSvXsPS+w7Mmo0RqiBwcCvbvhpOuMyLNdVDw/PGo66cg972PMwa9VAtTpz2zKSK4jghhOgLvEA0jvSalPLpKva5AhhPNK9onZTy6krb3MAmYLaU8p7YuieB64EMKWVKpX3rAW8B6bHzPRyzFk3iv4wk+08ySC2dHcFS7sz9lMHfvc2duZ+yI1iK1NJPqJ1iQ41/hAHs9emMyd1HcWzWrdgQjMndf8T2/RQbhwOjfgMeydsWt5Hb6w/zSN42/CfgVBQGvIEQwxYv4LJv5zJs8QK8gRDJYfDpC81iJzXFQ1pqHVJTPLhctXC6aqL7drNj9tVsebcXO2ZfTcS/D6XFuUA0EGG7/llwJbpUCKGgpWQRstjZEzG4M+8DBn0/i39uW8X+QCAmR3+XO5Z8xs7yEtYf3MfugJ9/bd1CQFeqfAZaZ9aPByIgWsvi4WVL6V+vCf3qNa/ymO6eRjy8fCHXND0natulCFwuD6FwCS6XB1VNVn073aAoGnZXdVJSapPiqkl1ZwpnpLjxuNxUt2dghItYEQtEAATKvaxYOhHZ57Y4lyv4q6V50FKyCIR8eHW4K/9T/vHrUvYF/Nyx5DMGf/cuIUNjTO4++p2ZGg9EwGEO9q/fBIjy9YlVK+lXrxlj8xL78LF5+7mkfos4VyGqjKhsx+xyeYjogSRn/+Iw9WiASlGJ15Iyk8GIJGIICZVyHXb4yuPjt/tzF9OlVkPG5O6vsp8am7cfXVq4pMFZ8UAERPusJ1ev5vqzsuPte5yppFjseP3FvPpLHlc27MpTP/7E5mIf4/KOHJvuw9Rqcm7b++jc8ham5t/N+MXX8cHGF/DqOrfnv8I1ea/w6KYFND/rFpb88hYlfm/csrPY76U0VMSsNY/Rud7l8UBE9NpKGLlyNtWbXc6KxWOJqIJtXw1Hc2VRrkr+tWE6Ly24gbeW3EVJpIhaLW5m3MrChHHxmFWF2FoOZfv8iYjsSwi/OwLKC9H9RfFABEC4zIv3p/cpO/dyPtn4FG9/dSkfz7uBwuJkqufxQAihAjOAfkALYKgQosUR+zQBHgG6SSlbAg8c0cwTwOIj1n0JdKzilOOAf0opzwauAl76j28iiSqRVEacZCg2I4xe/k3cs9jrL2P08m94ufsgap2Aj4VuyoSq7RDt1CtmyHSTY2yv3AYJfvYQXdZPoM8sMwweXrb0qA+/mT16kfJvjk3i9EEkUMT6b4YTjL2Ug2Vetq9+jdqXjSc8SEcTYBMGWjhAmWkiJEghMKWJIgQ2RSXN4ubFLtehSwOHqnJn7uyE52TSmvnMyhnMsMULea5bdyLHegaOKKYZPd6P22rDlFU/F6YEr78cTShM6dgXh6LSpdvj/LLpA3r1fg570urzL4VwsBSf4qBF/7dRhUAV4IrJhUtMk0NSogX92BWFoKmjmyaaomBVVEavnI3XX8I1jbvwYP6cOIdlzGnDbVOr5KDbcjitzev3H+XMUbGfKhS8/nJUoeBxpjKlU1/csWCEy+Wha7cJOBxZSc7+xVEReFBUEa8ZYRqnX9puEv836KbKHn85s7dv5YE27XBbrZSGw5SH9T/spxQUpBBVvmMzbBX1dlJ5vH1vBBK7ZqN/vXY8ufrH6HvYYmOvr/yodsHCK2se47o2j1AYCzJ0rjeYkSvfxBsoip4jUMSj6z7liRaDsaiJ7nOa5qDQ78VpzYgHIg5fWwmmYiFQ7sUU0aBB9Z7D+TB/VEJA45OVj3N59/fZ69+SeH3+MNKeRbjMi3S6kcVeMCKYihEPRFTA3eJivs4bleA4Nmfxg1ze521cp0ba3HFDN2SXcr+cbph4VAVvilOM0FSR/x802RHYKqXcDiCE+BAYSFTpUIHbgBlSyiIAKeX+ig1CiPZATeAbIB4Zk1Iui20/8nwSqMhJTwP2/AfXnsQf4E8PRvw7yc1fTSajmybZWXW4tnMnVKFiSIN3tyxHN08saqopIqFqO0SLpVXMkFmOsV2rNIOmKVEf+8oBiVpOK9oJ6GkMaVb5UjKSUeDTDroewRc6iGHqqIqGU3UT1EuRAnSgxeB3CJiueC0GCHBL7jtxqeSMLlfhC/t4/eeVXNGoHZN+zMfrL+dcT11uaXZ2PKhVkVaRXe0Mviz4JX5+r78MQ0q8fj+KEBimWfUzECumWZmXHqeT0nCIWg6qPEYR4HGmYFFUcvet5aK6Z5PmbkDnruOSbhqnIUxTpyxwEBCEcKObCpoiESJEWBpIKXh+w3wW7d2Cx5nGi12uwqcHOBQKMnH1Urz+cjzOFKZ06snrvyxn0d4d8cBAh2r1+aLgp1jQoCx+TlWJcq00ZFTJwdJIKL7scTqPcuao2M+QJh5nClZF5aWcgThVDfQyLh30RdJNI4k4KopVVlZGyKQyIokYTCmo50rhwTad0E2JIQ1y92zh0jOz/rCfMjGRUlb5jk2z2PnovKHs8RdjU1QMTIJ6iExbenzf0kioynalDFHo92LTDgcZnNaMeCCiAt5AEQ57NSLhgwnrdT1AltODP1yEx5mWEJDwONNQzAiOFA9CKFhTPSj2tHggogLFfi+qMKscF9vtqTQZ8jpY3VHFp6IhVBVrqichIKE6M6t0HDPN00svrBuyy/5D5hfvzwtVKy6XpKeIBlf3sX1RI1MZ8B8EJM4AdlVa3g10OmKfpgBCiDyi34zjpZTfiOgLbzpwLXD+cZ5vPDBPCHEv4DqB45I4Qfypo5HjkdzwF5PJODULQ87swkOLDjJ0zu88tOggQ87sgvME7DQhWvBsck7NhKrtk3NqYlejHbwiIoztlJmwfWynTBRxuJy2Q4WnujWiljMq562oGeE4gXIP0dm5xFoXHqcTNTkQPq2g6xEOlG7ljQW38re5A3ljwa0c8BewbvOH7PXtYpV3MXsDDu7+wcuVX+3i7h+8lIRsDKzXDojOTBgIRi//hv71W8QDEQD96zWpUl1zXZPshGvwOFNRhcDjdGJKyZc7NvNkt6OfgfWHdvJU5y5xXlYEN+YUbGFuwc9VPjdLvNuY0qknc3bl8/mu5dhUGy5XDRyOrORH3WkG09TZV7KFr3+cys4yGPbDfoZ8tZthP+yjoFwybuUX3LX0fa5s1IFWGbWjs2oI9vjL44EIiCppRi9fSP/6LWLLUZXbdU26AsSCBqnx89pUk8k5NZn7WxmPdKx+FAfn7IzOxlXUjJhb8AtPdkt05niyWw2+3LmJpzv15NVf53Dn0r9hYuBKqUWquw4pi/hKZQAAIABJREFUKbVxOJP5yUkkpmlU1IwwTyAFM4nTGw5VwR+xcO98L0Pn7OahRQfoU6cp+Xt381T3qvupJ7vVQBURvtzxK2PbZye8Yx/Nzsan+5n44xc8sOxDHln1KSWhcjzOdDJtjvi+7/y6nkc6ZRzR/9Xg+61/J8vpIaQftlb2h4vwOBIVXh5HBqm2dNJi1p0A6U4PblsGd549kWUFHzP+7PPxONNi1xatGXHgl49p3308qtBodPGzyEggfnwF0p0eRKCASR2yEsbFU7o2YO/yp1n9+S2s+eY+IhfeSiQ3D9Wn0+jiZ7GmRtuxpnqw2jOqdBxTlNMrba7cL6dXBCIAissl788LVSv3y+n/41NrQBOgJzAUeFUIkQ7cBXwtpdx9Am0NBd6UUtYBLgLeEcmX5/8Ef6qbhhCiC9Go1YWx5UcApJRPVdrnZWC7lHJKbP/pUsquf9TuqVwpe68vzN0/eI+KCs84z0Mt1/F3VrvLS/m24Df61WuOKUERMLfgZy6sdyZ1UtzsLi/j8RXLue6s1rgtNkojId75dT0TOnaiTkp0gBwMlBDEhtSt8WrJQgtjJ4TdkXZc13Eo4Gd/MHjUrHYNu51Mx/EX5DzJcMpXyv5vwZSSolCIoB6mqGwb+Ruf5/dD64Hoi3toj78zddm9DO/6CffO33cUr//euxYDv4++mz4+bxhDvn+fWTmDuHPJvPh+s7r3Y9jiRUed+5ML+3F33md4/WV4nKmMO7s3xUEfdVOrM69gJxfUq893Bbu4pEFTVKFgUQRuzaTUjByXm4ZVgDC0GPclUg0TkgYCUDBxKQbSCGJR7CjSRHOe9AqJJG8roYK7YcPAqqpk2GwoQlDi28sbC26hZ7sneOLHrKM4e297GLnyPTzONB5sdT6jVnzCx+cNozAYSOBtBWZ178OduZ/Flz+94FruWvouHarV5/IzO/Lwimha3uwLbuKTrXu4+Mw62FWBRFAeMXBbVRyqid/Qj+mmcSRXDTVEwNDRFAVVANLApZhII4hdy0AaPkwjjKJa/5K8PVU5+9/EoQKDle8EOet8C1aXYP3nYVoPsFK79YlNfCRRJU75vvZYY9Fp51ZHEREUYSVk6Lg0W2yMKSmJlOLSrFhUFQ0F1bRimtH+yiDMzM0/sL3sAHc2700NRxp2VUVTBCqSA6EIo2Mucj08tXmgTTZIBVUxCen7OBj8HY/Dg6ZY2VX+O1bNhcDEZa3OfctfxRuIBiamdbiBOhY7AohgYJoGiqLF3DRMdCSgECHqgKQJSYo0CBVuxp5aG6u7DqqqEfEdpDB0kI/yR8aLYF7WcSIOU8HhqoVfOtFDQTS7kz15Ezi0Y0H8/5M91cM5F86AL+diueIaDMJxNw0FjeLIAeYsGRF3HOvf4zmy0hufDP3wf423hSXmb899GGhw5PrhQx07Mt3Kmf+XNo/zm3EWsFxK+UZs+QfgYaK1I7oDJpACWIGXpJQPVzq2/IgClhuBvlLKXbHl7UDnyqkfSfx38GenaRyP5GY8xyGTEULcDtwOUK9evf/6hf7/gnEctRyOB6qi4NNDBE0/qhCETYlPD6HGbIQ0oVAYCjJ62eGPPI/TiVa5MxQ2fGUWPpgXJCazYmgfG/bUI892bISkzrqDBbzUvScmEgXBEu9WepzR8MRu6DTFqcxbU0q2lZQwMj83Hmia0H48K34az++H1kcljkKh0O89Zn67KQ+/+yQSjzOV0kgIjzMlPsNcGg5VKfnUhGBW90sxTYmqKChA3ZQUHIqNyxs3wSIUhjRujCF1FAQOTeHjb4cw6LzXQChINNSYVLTMjAASh6oRkSZWBQLl1gTuX9XHxuw9G+jkqck/t23k1mZt8O9bSJ3q7TAK1uKu0x5HtZNiQPE/x6nMW6iau1O75NAoLQ1D6hT7vditWVXXbrBGA7Fefwlp1qhkWCIJGHoCbyGa2pOYXhEtfvpKztUYEhyqhZe7D0I3TSTw3pZdvLdlV8I5P+nXidwV48huPxYTE4uwYSBRFAMQ2FSBv+xorr69YwMrD+5nbPvso/gqDhSwc94YrKkeGl387F+Ct6c6Z//bMCPRiSihCkQsPTNZwPLkw5/F22ONRVWhgtCxqSYmOkIBC4KQaZBmtaGbJtPXLeb2Br34fH443icN7mnjhvq98St+Hl5+2Mnq0ewOOFXBvN/X82L3HtFgvwCL8BMwg0zf+BqL9i/D46jBix2foNyQjF//bTz48LfOd/BqtweiFuEKpMowK5Y9STB4iNZtb8PtrociJapqw+//na9zR8aDAP1ypmFaq1EiLGjVWqEqCsIXwHS6UAyBMxTixh4vYSJRpUANBVCtdtTyElJTVUy7gZQl1DqrPxH/Acr2bwCiNbHMSDnW7h1BN7CkJdaCyJIZXN7nbUwzjKJYcZ6GqZ6qgjc9RTSoUEYApKcIFIH3Dw77d1gJNBFCnAn8TlQtf/UR+8wmqmh4QwhRjWjaxnYp5TUVOwghbgSyKwcijoEC4DzgTSFEc8AOHPgPrj+JY+BUYP9xyWSklK9IKbOllNnVq1f//36R/y1U5A1XRrTWw4m141Y0+tRtyINLv2fId5/x4NLv6VO3IW5Fi5/n0eyOR8joOiacJxCx8MG8EJVlVh/MCxGIHP/MSYZioW312gzLi7qDDMv7lLbVa5OhJGdf4NTmbVEoFP+Yg2j6xOOrN9Kh2V1AVBmBNMlyeuL57ZURrcUQ5ZbHmYaKZEqnvszZuYlx53TB44wGqOcUbOHpzl2PSqtIUyW/vN2Lze/25ue3e7Lts6FkYmADSiJl3JL7BgO+e4G7lr5NiV4Gho9+OdNYt/kjdvgOMmXDbHb49jNt/WcU+A7wz+15lIYNCspLCYfUo7j/4bwQg+s158nVq+hfrwmjli+idp2+fJ37ECmNe7Dtq+Ho/sT81dMVpzJvoWrujszPpSgUQhUa6U4PwXBhlZwtDfuAKGdLwoFovjGS2s4UHmvfNc7bipoRc3Zuii1Ha0akYpCOJEMv59dPruLnt3uy5d3eaIrA40wsUuxx2tEUQaPW93Pr0pcYu+Z9vMESdvoOsHjPBvYHQoSCVXP1psbtYlXsj+arvU4bIFqo7a/C21Ods/9tGPEClsk0jZMZfxZvjzUW1RTB39evI2Qa+HUfC7zzCZth7l76Lr+U7OWepV8wqG47Pp8vE/qkTxeGCPgtlAdJ6HefWLWSQ+EInWs05q6l77C57FduW3Yf2/0FPLfpNa5qOIBW6WfhDexnt/8gI1a8Ea8TkWVzcygY5o7F3zJ43qfcsXgeO/0BWre9neyOI1mx7Ck+/+xS5n1zKyG9NB6IAHDYq7HPsHHH0rlc+t373Jb7BTuCfsLhQ8jSQxSFDjB75Tje/WoQXy64m5D/ABbDRNF1QopBeWkBuV/fzvf/Gsi6FdNp0OluUmu0AqLKCGFLIZL/LsgQR0IIBZcji1SXB9dpmuqZ4hQjru5jO5ieEg10pqcIru5jO5jiFCP+r21KKXXgHuBb4GeiKfwbhRAThRADYrt9CxQKITYBC4CRUsrCP2pXCPGMEGI34BRC7BZCjI9tGgHcJoRYB3wA3Cj/zHSC0xh/tjLid6BupeU6sXWVcQvQF0BKmS+EsAPVgNNSJpOqRpicUzNuL1iRL5yqRoiqio4PpabO6OULj8pfntWjLy4gbJjM3bmD57p1RxECU0re2/wrNzVrHm/DNAWVo5oQfalUns3+dyg2S7EJnZdzhqDHJPEB/RDFZim1cPz7BpI4aRE2jCqLk9psmTFf72ls2fo5t7d7nA17P2dyzsCjeC1kEZ+dfztWRcNKhAyLi+FteyAkzOrRF1NKFAE2RWFWj55xDmWoGhJJs+sXYpgSVRE4FJVDhkDXJRmWdN7qcSMhQwehEDF1glgwbXVoctYtTN3wLy6u15En1n7E8FaX8sTaj3ih013s8ft4Zu0yXu18aZXc14QSd97w+svREdHiU9IkXObFNE6vIlSnK47F3YhpkOGoxpXdprFww2s83nEUE1YE45wd0zmNFzfNjuYZd7yMNIuDWd2ujlq9ChspFhuzul8YTf9RFOyKwoi23bm/dQ6aInArCgoCES7Fasvk7Mv+RbFpoJsmdkXwUs92RMxo+tBX2/dwbp1qCCQmdoa3HEKKRaMoXMaUnz5hVtf7uWvJvD/kasV9Hc3XwzOeSd7+NWFWCkbErT2TwYgkYrAq4SrHoroZpH/9M7EKFafmomFqE3aV72Bqx8sIGgZefxnpFleVfZJVEzhjlsKX1G/ANU2bo6BgUQUKBl5/CW5LGt7Afiaue54RLW/nw+1fMrHdWExTYFM1Hms3lBm/zGFD0U5uaNyHiauXJYxzH1m9nJdzemEnxHkXvoyUBgHfPkKhUpz2auScMwK7NQ3stblr2XcJjlyjVszjlZwBgIkv5CC7/Vg2bnyZ/YXrmbvicS7rOQtRdhDhSufHeaMTbJ1/zJ1I244j2L50Oi16PEbxwhfIbH8JUghkWSFSDyM0a9TyWVGQ0kT3F51K6XInBE0V+TUylQG3DrBPNyUeRfxX3DSIGRh8fcS6xyr9lsDw2L9jtfEm8Gal5VHAqCr22wR0+0+uN4njw58djDgeyc1fTiZjVXVGZLtxaBoBXceq6pxoKpdhmglyYYh21EbMlcOmKvSr34AH85ZUkst1xFZJGqEoUXnd0TKr4w8MqsJCyLQzfOFavP4gHqedp7q2IEUkRz2nOqyqWmX6RKazBjf1eg2n6ia16VVIIajmqouqhphxngfDjM66ONUAuiFxlpVgvnAFACLdQ6273iJscVFkBqPe2yKagiFEBDCRQiGIgjfgjwfcRrTuQNtqdXlk6cZKPGuJS4O/bVjBFY1a8uTqvDjXx7bvg8si8QaKcFuceANFqELFoWrRjzZpVMl9XZpx5w2PMwUNGS0+FavALdSk4udUwLG4a1FUFEWjZloTLjpnJAAzz6uR4KYxKXsAmiKwC0nIKMMqVBzSiggX4fQX4U+rjYGBicBARUEi0BGoCFRA45Cm4AS8AR+jly9kQL0mdPOceQR/W5FmhdsXzY/z9qnOXXDhxxsoQsbsZv+IqxX3dTRfD7/6rakehCGQpozL9ZM4/WFEKgpYisPKCD056ZdEFGHTwCSSMBaVhJiwaiWFoSCTO3dl2tp8CkMBnu7Uk292reWS+mfjcaZSHPGRnpJ+VJ8U1iV+wlxSvwGXNWzG8CUbEt7X1zbqTGkk6nLhDeynpr0G1za8kftyF8Ydih5r35mHWl7KtI2zcVtdVY5ziwKFfLv8QYZ0mULAiGBP8aCoVrpnj+Lb3Kit5oV9/pngZhQ9toygaXJv/gdxl69JZ4+BNZPZX7geU4Bps2OES+KBiAoEyr24MhrSsuMIyhbOILxnA3S6BXxFBN8ZgSz2ItI9WG5+kYjDiWkECRUXsG/5q+i+wtMyXU5TRX56qvjDGn9JJAF/cprGcUpu/lIymTJDMDx3PcPz1jJs0SqG561leO56yowTGySqihKXC1fA40yJ14zQJTyxasURcrkVVB6LCEuEq/rYqCyzuqqPDWGJcLwwTDuPLN2E1x+MnSfII0s3YZj2f3NkEic7Mmw2pnbJSUifmNolh+pON2kuDxa7i9QUD25XLTJdHtLsadRyWTkj1Uotl5VUayrppWXIt+4HooEI2/XPEra42B4s4vbc9xj0/SzuyH0Pb7CcZ9bP5tIfJnN73gz8hpGg/Ole6UMOKni2EVVY6F+vCU+uXpXA9SdXr8WuuvA4MiiN+PE4MjCkEc/7/8e2VVVy/9OCnxnbPps5BVt4ptO57Nn9DRflTKN862Ia9Z6MJpNqn1MBx+Juhs0GgKJopLlqkeaqSQ2Xg9qpNmq47FR3pnFGSiY1nRm4DJPQO3dS8uLF7P17Hw5+8Qi/O9zcnPcil/4wmenrZ7MvWMYteS8ycP5T3Jo3g4JQGXvChUzd8Ap+w4xzuF+9JlXwdwNSagm8fWRZPk4tylsRs5s9Flff2Lo2Fng7mq/B3T8B0UBEo15PIj9bCuW+/99/hiT+RMSVEVpSGZFEVbAwJv+XhLHoI/mbuO6sFnj9fsYsW8r1TVvj9Zfz8PKFtMmqzxM/fsm4s3vy2a61DOwtEvqkwT1tpKVIslwa1zZtwZj8o9/XQxp25s2t7wPgcdTArqYyYdXyBOXDxNXLKAmHuaFxb4J6qMpxbih8CJe9GgelzgPrX2Dgoju4JX80B8wIDns1AMLBAwluRtFjU9ntK47bfnr9JYxb+z0tW95BqsuDNHVWzB9JOFCEIyXREcOR4sE4uJ3CTx8ivGcDmtuD4sogHAtEAJCaRXnoIEvm3Mz3Hw9i1bKnqdHtbjRX1l8mXS6JJKrCn62MOB7JzV9KJqNLGe+gK+D1B9FPMP5iE4IpnXrGB7sV+cs2EX056KZZpUxZNw9XyvTrOm/t+ImbLmqHJhR0afLG1tXc1LwF6cd9Pxzjfk7odpI4CaEIQaO0NF7vdT4R08CiHHYkqArBYJBiM4KKgoFEN020tNqo972HJJr+Y0oQZhgFwYOtzuftLflsKNrD6BWf8mDrc1m0bwPeQBGGlAkzIuYxeGZCTKJ+NNeDRoRH213JR9uX8Gi7K/myYCkD6ubwWPtuTFydByzj1v4dsAgt7qZxeePGKEIysk02LkVi1ukJAkTTXghhIWCWg68MKU1U1Yb9NCxMdTrgRLmrmyYHgz7UuAuLiabYcd30ASHTxJQSVSi8vP7jeD7zxfU6Mnrlm/Flb6CIh1a8weg2F3NJ3QsTOHxs/soj1vlR0Hj87KEs8a6N9/GVuaoqEqmFubF5c24RLVAEjGyTTYoKRp2emNJAqdOGlrcvRikrRAka0KMVYTWEXl6GKU001YbdkQlAMFiEYYRRVWuSz6cREtI0hEAoyWBEEodhHGMs6rbaYr/9lX6X08Rdk0fPuYQFezZxUf3GpKUZ3DzQhjRVFCERikGAAFIPY1FcVbZtmJINJb/icdTgsbYPENAjVSof7JqNuvY0NKExPrsr41ctjY9zJ7XvwLJ1j9Gh+U2MXfc83sB+WqWfxY2Nh2CoVrp0mUB+/uNs3DiLJ84ex6Nr8uOOXE93vJBn1s094nwlWO3VuLDD44hwgEC5ly0/vcnZ3R9jzZKJBMq9OFI8dOo9lcCSVwHQ3B5qDJ6OENrhQAQge9/IirzxCekdq3Mn0q3fy+xf8VoyXS6Jvyz+9GBEEomwKioepz2ho/Y47VgrdJTHibCMsLZwOy91vxApJUIIlnh/pmftpgCoQlQpU1YrDcY1YeK22pBCIgEpJG6rDU0cv7WHJqjyfrSkGvi0gCIEWXY7pqkT8R0kHNQRFgdhGUZiIlBQhIpUXewO+phXsJkL6jbj4UpBsqc79cSqSIYvm1vJprMncwrWc1eLnry0aSEbivbgtrji562YFa4YqCjH4JnCsd04Mq1OqtlsPNR6EAJB3YbVsAqVVKubWd37YkgTlDB2xaDMEBimgioUFHQU6SQUEQjFzp4937Jq0yv06TIJTVhYsmg0Pp8Xl8tDr97PkZ5xekkvTxdUcLcq6HqYQLAQiYmqONgV1qvk7pROPZm36xfe3bYuxtvzKAyVsaF4Zzz9pzK8gSIcmgMHjgQOH5u/iR2lx+nEpirUd1WntjMTu2Lh5R59o24cIoxQI1iAMkOlosZQBV+DYYFQbOzZG+Vrv5xpuO3VMP71EObgUfhKfyM37/E4d8+7YAamEWbB/AeTfD4NYegVaRrRZaEk0zSSOIyKgrpH9kml4VDst7PS7xS2lhYyZ+fP3N+6FyHdIGyqTF3/HYv2/hYv3jtv1wayM5rQ1J3Bi13bM/PnLWwsKo23rSmC2T1moqo2dD2AVUut0qEoqIewKC40IanrdDCr+wWYUiDQCYS89GpzD1ZnrXgg4u5mNzAxFpjwOGowrdM4XHoQRTV5JWcAupTsK9+OHtlLYThRIeZxppHqqIZhdRNUVbr2f52fVzzHz6tm0LrTCKyODByumlilHesFo0g9fziKUFGxIPQIIt0TD0hIlxubI4uWnYdjsaYRCZewdd1bBAMHyGg7BMVyytrdJ5HEf4TkiOIkgxAG4zo0jVdV9zjtjOvQFHGCNRYsiqBtVh2G5b3NoO9fZFje27TNqoMllhPsVJUqHQqclWpGuFUrg2q34oM5Bn//KMQHcwwG1W6FWz3+QpoW1WRylxYJ9zO5Swss6gl6lSZx0sI0dQIHt7D541vxrnqdkuA+Pv3hVt7+4hIWr36GA+GDlBkmo5d/w8UNWsY/5oC4xFNVLAmFpCatWUj/em14Ys0crm/SBY8zjdLI4UHCEu8apnTqGZdoLvH+xlNdWybw7KmuLdFlhDkFWxjbPjuB61M6d8YtIqz98loykNRyZlBNSlxC5WBoD7ctu4eBC6/iw9/+yW4/3P3DPq74cjfPrz5EwGfjH59HePaDEK9/bpKe3o/sFrczL38cwVAxvli1bp/Py4L5DxIMJqWXpxJ0Pcyhkm1xDhf/AXdHL1/IxQ1axpbLmLRmETc0uQAgnv5TGR5HBgE9QGm4NIHDcwu2HIO/4Sp4a5AqdWo7M3FioTjs4+682Qyc9xZPrVnEbr9yXHydm/sQEaFDrxvxhYvigQiIcresbHc8EFGxLsnn0wdmJBrUragToqhJZUQSh6EIWeVY9J1fN8UtOd/evB6PM4XH23djyZ7fuLJhV+6fv5/r5+7j/vn7ubJhV1ql18TrL+P1n1dxaa0cli7K4vkPQixcqDGqZStaZrhj48KW+PRy7JqTnbsWoCIpDh/isfadExyKxmd3pbYzBVvEz9fzrmf+kgc4FNrNHcvv45KF13L/2qmUKRZKYoGHGxsPiQciIFqL4qHVT1KCzrhFQ5madw3CKCJNU5i//S3Gn30+Hmda7HxpPNNhEFM3zGbgwme4Zeks9is2WnUeDcD65dNRIzrKt69QXrKNJV/fyvf/GsiSr2+jvHg74aUfYb3mGUR6NKVDQaFZh3tZvnI63867jeUrp9Osw72YRoQV80ehG4H/33/mJJI4KZBURpxkCBkGMzYu4/52bXFbbZSGQ8zYuIyJHbqfUDtBw0+KJnil281xB4KIWUzQ8ANphGWY6nYbM3v0wpAmqlCwKhCWYSA6+PXrFj6swjLu5oE2jrfiQ0APs7mkgJd6tsWQoApYsX8zqdakz/vpAGlKIuUH2T5nJOEyL5ntr2P24nvj9lmNG13CiytH8kDX9/H6y1CFUqXsUhwxA+z1l5FmdeD1l5BpczKl42Be+zUqn/Q4Mmicfga/Fm9lZvc+SEncTWNmz3boUqIAcws2kbdvB9ef1R63VWNmj15xlZBAUgp0G/gxRWYJrqAPP050XZJuqcPbXWcQMCNIaeH++fvjfusDG6Tx0bzwEXa3OrcMvJCylRPQLIk1I3w+L0ZSenlKIRAsZG7uQ3EOS6H9IXfVSioBr7+MTGs0D/mrghVM6XBjPFXD48hgWsebsAiTF395i6vOvJy1hRuZ2f1CTClxaRZm9GyHGeuvFWFSHgkxq0cvjJirjKaI6BS2sLHXF0CXEreWyoC6zXn51xX0r9eGMbnHz1dTGkiXG8VCPOhQAYvmOGpdks+nDwxdolQaAQr1cOpGEkmEDD1hLKqbBpIwEzp2wpAmZeEg97Q6m4ChY0qD7p6mPLW8JN737PXpPLW8hNGduuM3AjRPqc07X+oJfdGX8w2mDGhLmfTz7uZVrCrczaycATSt25MdZbsYv/5bsmxuxpxzCTXsGaiKwK6o6HohUrMxoNcsIpqDzWW7mdB2DKWREt7c+j6PrnueSa3vYmKb+1BUezwQUQFvYD+ptiwACv1enl1+L/e0fZy+dS7GpZrM7DwYhIqQJtN//ppF+zbEjivi4XUf8/c2l5Ld6ykEArXkEMb5t1NYtp+mvWdis9rRIgfxBwux5VxBpNiL9bZZCARBq0beNzfj83nJqtaapm1uIKRpOG3p2BxZmMkHMIm/KJLBiJMMqqLQLqs69VPdKEKQYbPRLqt6vPDk8SJNTef3cISHlx52sXi6a0vOcESr/atCZX/Ax+gV38Sl8VM69qWG4/DHlGlStbXnCYganJqN1pn12V5WhEPVCBg6rTPr49SOX12RxMkJaUrk3gNIR5hwWezDTVHiH3EAVmsahX4vqlDwOFMxpFml7FIekRvvcaZSEg7gcaZRw+HGoSiMan0pD7YagCqi6RIeRzpCREhTbZQaJuW6gSIUNAG/lBwAYTKxQx8UocY+5gR+PcwD+T8kyOyzbHb2BAweWfpTQmXvdQd30rXWWfHBFUC6VaO4PLGAa/SZUEh1edAjiTMbLpcH9QSUREn8+TClnsDhaErbsblrSLPScipZNiezzxuDAthUjde73UNE6mhCxa2oCDRGtrodgUJdVw0UdAQaft1AiOhHAKoKUmBVbUjg+fWL43Lnl3MGURyWRznHALitTvb6DisX/h1fFaEifKWYLgsulych+BDRA0etS/L59IGpRwMQFVAUgWkk0zSSiEJTFApDAUYt/z6+zuNM4cE27Xlu/RLGnd2bmZuWsaFoH7O6X4rb6kjoeyAakKjpSOP+vJVMy65OcWIsl+JySXEwwNW578TX6aZBILQPty2L4S2H4HFk4rY6CRk6hgkHwyFSLGls8H5LkxpdCYbDPLMuL+5+Me7su5jxy0vYNBcfr3+G686ZgMdRIyEg4XHUSEhJLvR7kULlu8UPxddd0etVfIo9HoiogDdQhOqsTiRwiII5o2jY7xl+NxyMXufH6z+Ex2lnYnYdCra9SodWt1KyZwmelpfFjjZwOKphd1SjSfbdzFo3gUK/lyynh2GdJ6Cotv/rn+svAyFEX+AFQAVek1I+XcU+VwDjAQmsk1JeHVtvAOtjuxVIKQfE1gtgEjAEMICZUsq/CSFGAtfE9teA5kB1KeWh/9Ht/WWRTNM4yeBWNPoxYTUdAAAgAElEQVTUbcrw3JVc+e0ihueupE/dpriVE4sblRvw8BHV2R9eupHymAwzbMp4ICK6vYzRK74hbB4ejCgK8WrIFUhPEZxIXMSQUBQOM3XNGoYtXsTUNWsoCodJjnlOA5T7iLz+KcKIVuUHEKZJqutwlelwuIQsp4c9xT8ypVNfvtqxkacrpVdU1IwwzEi8svXhmhE/8UzHQWQqFmwvDCX1iQvInHQhaU9cQOrfrqW2KchQXOwKhBi2eDGDv53LsMUL2OUrZ86OXfSufRYHgxHuXrSMId8s5M6F+ZREDLJs0YBbhczekNYqnTi6e5qwq7yIWq7Dz15xWD/GM2HSp8sk7LZ0XLH7r8ixt9sTpfpJnNxQhJbAYSO4m6c7Vs3dKZ168tWOjbHlVCa2784bq4bzfN4NaDIAkTLckSBZnz5FNe92xD/uw5zQg7QnLiLt7zeRqTgoCpkMW7yIwd9+zV2LFxI0DA4Gw9y7eDmXf7OAuxYtY2jjDnG5synVKvnar15LSsP+4+Zrv5xpWIQNFryJy5pBTrcJCdxNTa1Dr97PJfl8msLQD9eLgJgyIpmmkUQMVsVMSIX0OFMYd04X3v51dSwlbT7XNz0HjzOVgK6jm5GEvgeglkvjd18ZWTY7KVZLlX2Rw3L4GI8zFU1RMc0IOm5eWLeVG+Yv5Ll1awgaJg/m5XLTgvncl5tH/aw+FEcCjF7xWYL7xaQ187it6Q04LC62F63n840vMLX9GDyOGtFzOGrwRNsHKPXvjZ83y+khHC6JL6e6PBihEkTEV2Wq3X5fAbrVTrjMy6FwhNH5Pyf0x4+t2k2DhkOZmzuS6i0uZd68O/nsswHM++Y2zj7nXlqeM4yXY4EIiAZDZq59nJCaLKb2RxBCqMAMoB/QAhgqhGhxxD5NgEeAblLKlsADlTYHpJTtYv8GVFp/I1AXaCalbA58CCClnFqxf6zNRclAxP8GSWXESYYyw+QfmzZzf9uWuK0WSsMR/rFpM8PbtcL17w+P41iVkI2YK4duyio9lvVKwQiphLmyjzUu801PEVzZx4pUwsDxWRjqpuSJVSuPsBBdycwePU/gbpI4KWEYyKJS+GEDDS+ayvavR3Jo9Tv0y5nK3NyRlPm8bN32Jfd0mMqLK0cytOUohjQ6B00o8aJ7qhCoQseQBi927UvY1HFZUkBKHmpzHumKg0NmEHHPe0hUpJSoQqIoEXwIIobOw8vyj7DtXMm49h0QQkEguL9tS975dSsbDxUzYcU67m/bhlHLf4jtX35MBxsTeO2XPCbnXMyY3H3s9el8vqOEu/tUT3gmhvbRsGshrLYaCIuNPn1fQ0oDRdFwOKoli/2dYnDYs+iXMy2eqrFuw2tknzOCyxq2xKpY48VNNUXBqkiGNG7NpWc2oyjwO19sGE+P+oNpWuNcTASm0DgkQBk8HrsSxnbz39CwUGQE0QHNlAn8zbLbcWlWHsxdgdcfVdl4/QGeWPkT97fLZtTyOZgc2zlmTsFPTM7pFU/V+EO+hu0oRhjt6qfBYkcTkgv7voaUJprmQEoTaRFJPp+mMCMSpdLHT7SA5Z94QUmcVPAbPpya4OXuF2FIiQAOhQ5LG7z+MjJsDp7u2Jd0qw2rojGpm5txedG+p5ZLY3JOTZ5Zm8t1ZzXnuQ3ruKlXK75awOG+6EIrPqJBgOgkxLmoQmKzN+ShvMP9Yv/6Z/LIsqUJ7/nRy5byt5xu8UDE4esqoa7zDMJ6IVlODwOb3Y4mFCa0uh2r6iRs+KluSeWTn18EooGIeztOY8O6V4BoIKJPx8c5sO5Dzux4N9M63MhDlVLtJrQbzJxNz3Bri6iKwrSk4vUfOuIaglhs9SjzeY+qI7U073G69XkxHoioQKHfi2EmqthOdRi67BLwy+mmiUdR8DqcYoSqifz/oMmOwFYp5XYAIcSHwEBgU6V9bgNmSCmLAKSU+49q5WgMA66WMipzPMYxQ4EP/oNrT+IPkAxGnIS4oXkTSkIGSBWrIrmheZMTbiMqLT66EnKFNC1aKTk1ISARjUofHpyEpc7sPZsZ2r8ZmlDRpcGnOzdyeeOGx30dUcu6o20VzaQy4tSHqiIy3MjlG1CBppe+jBQSYXEw+LzXKrlpaIzp9hoGJirlOEOg7/uZSN1W7A8V4bRmRF0qFB1F94HMRDdBU6DYCDF9/fdc2bArT67+Ea/fj8fpZGLHbFI0K2WRwFH8yrLZcVls8Q86j9PBmOy2zNrwCxsPFcftyCA626Md41lRgMKwn0yHzozzamJKBUVILCLEzQOtSFNBKCa6CFFimqTb0vH7drFwwYik+8ApDE2zkpnW6CgOhwhiSj82BDbVgV+aUSWZtKEKK9UcZ3Jnx5fiVp8Hg2HGr1gV5+DjHZpS12lwIOJj1IrP6JDVgBuado/zt1VmJne2bE1JOBwPRFTA6w/gjtUjUajaeUMVgkvPbEl1p8lL59VClwJVSDQRilnsASJq+ymNCMHiHVCtCYamYXOkYlM0bICUJsVFW1m7ZibNWgwlP29Cks+nIY5URihJa88kKsGhOjkYhvvz88m02bilRTPquNxMyL6IN39dxqrC3aRarLy3ZRl967bGbUnlH79u5N72Tci0OUi3WijTSykMBXFbrSzy7uNgMMQtPZqTbrFRHAki7BKrFHx0/lXsKN/H0v0/4bZ2IajLhPe622qtehxJtMhkRUBiQL02XNekM4pQSLfXZmS399ClpNzvJU1YQBoIPcjG7V9wbetRXN1qBApgVxz0aD+KnHNGoCgqCirunJFIU6eWZmd86wuxak784WLmbHqGktBBbDY3DftPwy/1KvvjSOgQqS4PoWBioMLn82JRrGQ5PRT6vTTMaE2fJreRYquGjg1TmiinQf9q6LJLUaH5xfw5oWrlpZIUt2jQu7/ti4wsZcB/EJA4A9hVaXk30OmIfZoCCCHyiKZyjJdSfhPbZhdCrAJ04Gkp5ezY+kbAlUKIQcAB4D4p5ZaKBoUQTqAvcM//8bqT+Dc49Rl/mkEVgqCuMHXVHu5esJWpq/YQ1JWE/Lbja6fqSsiqiEYBXIrGlE59E6TxUzr1xVUpHSRDtXBBvbrcnf8dA77/lLvzv+OCenXJUC0ndD8V1eArcKSFaBKnKFJcWG4ZjMhww/IN8OKXWP1WrI5MUlM8uFPOIDXFg8tVnQzTSsqLd2CfdDHmMxejNejEAT3CQ6v/yaD5T3PH0plIaSUkazNs/maGfL2BYfM3UxzSuO2sc+OBCIgOQh5bsQpvIEBRKHAUv25p3oox+asTZpYnr1rHdWc1xuN0EDCi038VMntVhKt0Mlji3cKUTn2xyhAlxWso1QuZtv4LtvsOMHnD52wP/s5NeR9w8by3uGPJ5+wI+tCsmUn3gdMAmmaNczjFWQtHicT17OekPPoe7v0Bfg/7eXr9p+wq07lr/lYun7ORexbuoKA8wuMrlrOzzM/4FesSODhh5WZCOBkVkxVf06QLu3xlcf5e17QZT65eSVEoiMeZqDzzOB2URgJ4nKkowqiSr4v3bCbL7iAcKqQocohhS1/lku+m8/RPc9kfOcTN+e/T7/tXuGXxJxREdKzVW0Yrv8+5lbJDW+LF04LBIhbMf5BGTS6JByIgyefTDaYuE2pGRAtYJmcJkogiYlp4OH81mTYbd7ZqxdRVe7hy7kbuW7iVyxt2YHKHC2KBiLaETZXRy/JY7N3D6GWLuG3RN9yX9wMhw2By5y4EdQOP08HGomKGL8/n5tyFTF2/FpD4dB8T1r7Lsxs+4bIG3Rm1bOFR7/XScLjKcaRNUZnSYRAeZxoD6rXh8jPbc1/+Rzy26gsKyku5PfcLBn33PqPWrMIvsliw7m98v2Y6zc7ozg+5D/P1D3fgL9/DwpWTKCnbxY8rplNeuosVy56itGwXK1c+i+7bT3V7Km/9OJpZK+6jJHSQu9tOYN83j7F78XTSbRrPHOEYNzG7Dju2f0C/nGfYvuXLhOt2uTyEyn7nznYTaFerJ/1bjGLSxgXckPcKt+bNYGvpXkx56rvNBfxyekUgAqC8VDJ/TqhawC+n/49PrQFNgJ5E1QyvCiHSY9vqSymzgauB54UQjWLrbUAwtu1V4B9HtHkJkJdM0fjfIamMOMmgS8Gk5TvZ649WLN/rDzNp+U5e6t30hNoJmyZzd27j2Zy2qELFkAbvbd7ATc2j6VXlZoCi4CFm5VyKISWqEOwo20OaVSU15qZRZIaZt+tnnuuWgyIUTGny5Y6NDGncGs9x+2lIxrbP5snVq+Kz2mPbZyNIDnpOdQhFQK3qWO+/FgwTVAVSXBhGiIivCKlolAkTXRpYVJWM+z8iqJeiKFaKzRB+PczwVpfy1tb5bCjaiYKLR/K2JHD/kbxtvNS7aZWzIg5V4/Wf1x7FrzNcripnljNsVqZ0zSbdpvFpn8FoikKqolFq+qjtcDKzZ7vY3iqGhB6eZmiKThiTtIwWTPtpXtxu9MFWFzBpzcLEmivLv+Hl7gMTzpt0Hzh1oRsRCkOHovxN13CNHEqZoaJLSYqAB1pcwX0Ltx/RVxdw/zktsWtqlRw0pYjP4qlCTeBvxezfO7/+zJjstkxe9VNcVTGlazZui8LL3QeRrlhId5DIVxN6eJqjqTqqcPHtlvz4efrXa3N0faBKXA2Ue1n+w0i6938NR0otDCOMz+fFZk1LummcxjAioGiHJwWiBSz/xAtK4qSCYUb7rPvbtmLyioKEfm5M3m882rkGOZ6mTPpxGY+3717lO7qmIxWJpJrNztNdsnk4f1VCn2ZTIVNxMemcq9HNEEHdj9dfztub1ye81+fs/I2nOnflHz9von/9qPIiy27Fih9Dwoyu16MJwb5AKVlWF9c37crEH+cn9HmP/pjLKznPYwR2Y+gBurW7D1MaIBQ6nX0fpeW/x5Vg2R1HxP+7aNEoLujzMmNzXscwdSKHdlC86O/490YLW27/4j6aXvE2L/dsTUSChok1cpCMBheze+PHtGhxDUVFm7E7qtG67W2kuuuhopChObmqzThuzZuBNxAN8HoDRYxY8Tqvd7sbTYYwMLCqdlJtmaecWsI08VQEIipQXioxTTzHOOR48DvR2g4VqBNbVxm7geVSygjwmxBiM9HgxEop5e8AUsrtQoiFwNnAttgxn8aO/wx444g2ryKZovE/RTIYcZLBlMQ7/Qrs9YdPOK3BqipcVK85Dy06EM/fG9upOVY12qFpQiPN7uL2pS/Ec+GmdLgRTRymhJCCLrUa8mBebqVAQnuEPAFVg5D8c9tGHmjTJm5V+s9tGxnRtuOJ3VASJyWEIsCdgmGYFAXLiQSKUaROScFCzDPa89DqyXhjft/T2o+Fou2Q3oyRq96O8+7Rdlfy0i9z/5D7HqczYbDjcToJGDobig4wc+NqHmjThhoOFxk2OwKBx+lI+Bj0OB3UdPw/9s48TIrqauO/W1W91ewMOjTIvm+y77tGJa5JVNTPqDGuaAxRURGIiFFBFI0x7hpjzGLUuIuCQRj2XXZkX7VngNmnt+qqut8f1VMzDUOESCKQfp+Hh+nq6lt3pt86devUOe/rRwgLS5r4VTClTYkZxbBMKuwor27ayP+16cbDS/bXOWcakOu3+GjPSq5o3Qe/6iEUqUjajv5rzRVIuw+cLLClpCwexrAtvIpKtuZje/Uuxq58hFB0P9e0vIyRjX/EuCXz3Vj4zOCz6+WrE+ei9XJQEdItK7akRUk86vL3tECAoK6zvqyUF9avYUy3juT5/BQEAghhYUuJkFBhG0TMCMWRcvK8LRi/IJTC1zy/zU9a9KQyEePDPWuPiqvR6pBbGaGqXufpnVGRdtM4hVG/gGX6IUEaDhThxKxsj6/eOJfvyyLf7ycUqabSiNd7jd5VXcVdC+cT1HV+P3gYzw3rT8KWaAJe3VzI8pJdPNBzJD5ZzpMLb+LWvs8R1DMPu67n+rxgx7ixQ6+kHk51UpPidF7/aiPzQt8Q1HV+3bsvY888H0XY9cc8CQqCuG3g9eXg92Yze/Vv2RwqJFcPMmrg4/gDDd1EbM3/sehBPKqfLG8u698fkzKulpFPmbGfNxfeTXkkRK4e5Ce9J7FzzeuUH1hPVfkOzvvha0RiJcxI6hBlZQQ5f8h0bP/pbiLCnWe0jLhlMG3xja7Txph+T9Eku81JlZBQFEKZ2aJF3YREZrZAUQj9i499G5YDbYUQLXGSEFfiVDnUxfs4FRGvCSEa4rRt7BBC5AERKWU8uX0QMK3OZ0YAO4FhwJaawYQQOcltP/0O807jW3DyMPt/BJoQNNJTF3uNdC/aMbY12LbGI0tLUzyfH1laim07yQZTWtyXFOUBJwDet/yPmLLuoxHBIytXHiIOuBI4+rn4FYUbOnTjqXXLuHX+pzy1bhk3dOiG/xitStM4cWFZNtsr9/PzhW9w8efPc9Oit5BNhvPSlr+7dlqh6H7GrnyEnILebiLC2V7Gb1b/nevanIUiqJf7ipBM6NXTLdOs0YwIBgLuwuWpdctQhCRPVfCq8OiAXm6pe1AP8OiAXpQbYS6a+Sdunf8BB2Jxpq+Zz2Wf/5XiaJxxSxZxQfO2PLzk8HOmKJLgouY9+c2Xn5CheQnqOUnb0ayUudZorqTdB04u2FKyvXI/1897nYtnPcv1815nR/VBXtrypsvfi5tezLhDBNT2VlfWy9dKI84bmzcxsXe3FA5O6tMOHxGm9XXKiv+ydTFT+w1P2ud9wXs7NjG1/0A3IfHbtV/iUwVvbf/S4e2C99kbruSJNfMpjRu0yGrlCqtCLV9DEQNLKlzdxmml/VdcrUEgM4iSbNHz+/MYcdZTbN/6EQMGTUrz+RSFbcrDNSPSApZpJKEJmNi7GzHLrDfOCeHYZQf1TLeSoe41+te9+/KHTY7TUL7fT3Esyuh5c7h81gxumz+XkU17kO/N4KFVn2FLh4hL9rzFY/2GplzXo1aUivh+DkRKXGFecOLd+AX7uaC5o6nmiKMvo9yw8Km+I8Q8hWoZ44X1U5g0/zqmLb6NHu2vokmDrpRHQry16B46d7/JTcTW/G/ESlk2eyy2Il3nsBo06H+Tm4gAKI+EeHfFZFp2uw6AeLQEKS03EQFQFQ4xY/7dqNI+oltHXaeNp5feSVX85GqPC+ji7rMu8B3MzHauM5nZgrMu8B0M6OLuf3dMKaWJo9swE9gEvCWl3CCEeEgIUeOOMRMoEUJsBOYA90gpS3BsOVcIIdYkt0+VUtYIX04FLhVCrAOmADfWOeyPgVlSyvC/O+80vh3pyogTDEJYTOrfnMlLnFaNRrqXSf2b49jjHj0SNm7QrkFR2MRMtqJZ0ibfl81dna8gx5NJRaKa17d9ilWnV82Sknyfnzu79iPH66fCiPGnLWtcR46jQdRKUB6v5MUhF7uihLuq9pHj1cj99o+ncRKgPFbN2OX/SLHXumfZu9zZdSSF+2t1ikLR/VjSrvdJQJ43E5swUwa15v6F213uTxnUGq9i0TQjgxeGDseu46bhEz5eHHI+qgBLalg2lFsQUG0yVZ3fDx6OotiUxKv4w6b13NH1zOT8qhi37DPu7DqYwqJdBFSnPD7b46MonGqEXhQ28aseVKEQilSQsC1+3eMC/r59BRN7DHdbNWo0V3IVjfNGvoptm6iKhl9Puw+c6CiLh7l76Tv/kr+q0A4rQ3510zqmDh7AuAW1fJ3YrxnPrV9BSTxGA5+HF4YPwLRtNCHxKXF8wkML1cPLA6/EFIJMNcBrwy7EsBUsGzRF8uKQkZg2KIpk3jc7OLNhE9i+2rXTu7PrYB5aNZdnB15Zb4z3qx6EUFCTzxo+2bOWx/qOdFs1XH0gKw44iYh+Zz+OT2/ojpPpP42+/e4FoXDeyFeRSFTVi9+fl+bzKQI7kbb2TOPIsKSJX7PRhMKjg1oxfuEON86N79uEZ9bP49r23ZnYsz8Pr1rC8xtWck+PHjTNyEZTBL9etoT1pU6L/TXtOvDm1i386sweZHu9VBoGi0MHeLDn5WiKioqHR85ehipsFMXguSHnYEuBadvsj5XxytZCftlxFEXh4pQ5FoVNsj21gtT5Pj9NM7IAwTMDf8wz6+dTWLTTiXl9z8WHwYtfTkq50X9l9WR+1vlu3lk4lvJIiMysM1i7/GkGDJrEVxv/xpCh06i24rQe8RhVwkvrS55h+wd3YFSF8GYF8eY2cxMRNSiPhND8OQQyg/Q9+wnsaNhNRNSgKhzCEy1hep/ruXv5a26l6ON9ruPtNb9O2bckEsK0T672OFUTi/PylYvPv8x/PN00kFLOAGYcsu2BOj9L4K7kv7r7LAK6HmHMcuCCI7z3R+CP32XOaXw70smIEwyGbfPMuuWM6dnZbWt4Zt1yHurb/5jG0RTH47nuYrVRhkaySwOv4uFXna5m8tKthCJfE9T9TOp3NV6lVpzSq6iM7TqUh+eZFIclBRkZTBw6FK9y9I9PAqqXPG9jbp8dqmP31JiAevIL9KThwJBWvfZaed4GKduCgdNRhUIwkJeSkAgG8igI5KAKSQtd5fmz2rmJq4BqE7FNVKFgS4FEAgJdBNgbNfh8zzecc0ZLJix0+DWkic7PO5/O5LlxisMJCjIEDw7PoWNuHnadJFooUuW6alQmYgR1ncpEvN5zJmYlsKTGsEbtyPFkkallMbbrD/Eq8OLgK1y5jIBqACYSSXTvSoqXvUzrC58k0DDtPnAiw7C/nb+WNA8rQy6Jx8j0mDx/VlssCV5FABaT+/ZDFQoBVSFmOYyVKEmrWQ2Q6BioajalCYtqQ2PCwhD5PpXR3Qp4YqGRjLeCB4a3xqOl2ulle32EIlVHjPExK4EmfKiKn/d/8EsUAbqq8uLgK93zSlcTVFoV9L9qBjmKjmlWE64OIRQNTXjY+tbP3MV26wufRE9z+JSDZUoUtfY7VRSRFrBMw4UUkte2zONXXc5FE4LnRrTFsCXF0Uqe3ziH9eXFXNW2K89tnM293YfRNvt0TBtsJAKFbg0ausmIgoDOqDbtXR2cocECft6hC8+vLmdU24ZMXxR3Y964ISqqFmP80iVuS9yU/pfgUz2HxbshTXTyfD6eH3Iupm2R6VUZM28doUiMoO7n0YGDuLFjT3K8OgmjlGo7g8u73M+srS+zo2wd4Nzo+705AOTqQTTVR59+92Ea1XTq9H8cVLzcu+ZdN1kwvc/1NLviNRJ2HBWBFqkiVw+mJCTaB0egZXSg88g3MVWVQMXXZGUE0f0N6dnpOvzeHBJmFKw4zQKn8eqg20nYFpoAO3aAivjBlO8iXw+iKSdfe5yqicWZ2WLg9z2PNE58pFcXJxg0xVnk3rdkPqPn/ZP7lsynJB5DPcZvyq9aPDq4gEYZTr6pxvPZryYffUhvMhHh2BGFIjEmL90Ksk7Akz43EQFQHJY8PM8E6eNoEbO0w0qJxy8oJmal82CnCrxCJajnpGwL6jk09OUQDJzuvE5qRlQUr+Dx3te6pYnOk4CfkWUZrP7wOrDD5KpQZe1l2obH2VIV4sk1C9ldHWF04RIu/ayQWwuXsS+a4A8bt3Bhi5ZMWFhbunl+y5xkIqKWsw/OjXNe0/bErUSd+WVRaThPhv+0eQW/7t2bT3ZvZWL/BinnzIR+DWike1i2fys3tv9Bcg5zeHL1RvZHFG6fXcSoj/dx++witlXGCSWqKC5ei9qoHQV9b2L7x3dhRk6u8sr/NXiVb+fvh3s/dFsonPd1pvQfgGFVMmfVBISxiywlTpYiqDYjvL39S0LROKMLF3PZZ3MZXbiEb6KCCrOcWKKMNVvepNICU6pMWOjEx592asATCxMp3H1orkFAzagzr6xkf3YWpgwfFuMn9GtAs0w/1Qmb0XOXcOlnc3ln2x6KIoLbZ4e44uO93D47xDdhhVe2vM0Ni+9jV6yI3bvn8v57lzDrsxsJxw5Q0PcmAIyqUJrDpyhsk8PdNNKaEWkkEVBUbu80jMpEnFvmf8ols/7OLxfNcKt0g3oWFUaUEiNMQSBAaTzB7fOWcNlnc7mtcDHnNmvB1W0c4fWA5nETEQDnN2/BhIX7Ob9lDtMXpca8qfMlFTGR0hJ3/5LFFEX388ig09x4N6SJzvVd8hhbuJ87Zpfw2LJqYgkPDXze5OdijF+0kQxN50CkiNuWv8GPvpjCwxvmcEGne2mV5zwkz9eDxIwKcvUgP+49iVVLphGPlaKoPuKebO798s1Ugcnlr7E3EuKef17MI4tupkxGuXrw78jVnfaN9sER9Oz0EKO/OMioGcXc8sV+vvE35sKhzzCg+x0sWDWd92bfROGKKUhfBlXxA3z6+TW89+F5fPbPn+FVfYzu+TD5yfFqNCOyfOn2uDROXaTvCE8wqEIytf9Atz85qOtM7T/QteQ8WsRsi5n7NvHEsE6um8ZHu9cxqk1HABK2TPFFBid4J+qImiVs4V4kalAcliTso9eMsI7QLmKlCyNOGeT6M3miz6Vuq0ZQz+GJvj+hgaLw6oDHHDcCoZKn5BA7LRNF8fLKoNsQqGiKh7hlUS4lZ170VyKKIG6HeXnLm1zU9HweXrWQO7sO5dEV61NsEsctXsGYbp1RhZLCr2yvRnE4kTK/4rCkNGqTE3Bu6oJ6FlP7juQPXy0HoMSI0MDn5e7u3RFS8OzZQSwbFCHxqBZSwvBgZ0YXLjlsMVU3yfbokjB39Y3SJtidwhk/59yRr2DMfgg77T5wQiPPl8H0fpe5rRpBPYfp/S6jwJ9Th78aGYrKC0OHY0qJJgR+VSFqeRjSYxKKIoijErES3Ld0Jr8dcAl3LViRwtnxi1fx9ODuQCUdWl9CTEoUavl7JO5ayXgb1LOY2OMs3tq+hmn9RhJQFXJ0WYev4FFNLAnj5i9zj31hi5aMLUxNCE9YuJ8nhl3Ph1/PZOzKR3il/xRY8TjhcIjCOWM5d+Qr7hyMqlCaw6cgLBPqOHkjFJDpNo00ktAw0TU/v1o0k1DEqeENWuwAACAASURBVM4KRap5eNVi7u3el4b+ADleL88MvByP0Lm9cGlKvLt/8UqeHzaAwY2DiOS2GuR4fRSFK48Y8wJaahVAKBJBVTRi9n6eOavAaeGQkrvnHqqZc5A7erZk3OI1yc/FEKiM//LvKQmFSavfZWLnm1iy510u73I/EoXLh7zEznWvsm9fIWVlWzj7B79HCeTX21aa6XNa2koiIX63ZiLjB73CTcP/QEImMEQDRn9xIGVe4xYe4NlhDZi95I4U3YjKcIjCFVNStn1c+Esu/cFrjB/0Cpa08AgPWTLTEY4/Num4NNI4aZBORpxgEIBPgd8OGoIQAiklUlrHHIMsKVldsp8z8wvcdo/VJfu5tHUHoEYp2Z+SkAjqfupomqEIp2yubkKiIEOgHENiRBH1lxIr6aB6ykBVFVpnn84fBl1DQpp4gFwbUHR0swyEwJY2EasCKUAiAC+GLTFsm6fXLajt6+w3ktUHN3Fly8sIqLpTlu5JdSWAWqtOS9op/Ko0zHo5WxY3aRBQ+fDca5EIbAl3nTmMsWcOxRYSgcSrwP5YmPuW1vbWT+07knd2LOPiFn3qXUzVRVHYJKBmYkqLcDiEtE28WUGUtPvACQ1FCFpnn85rQ69z3TTyfBkoQpBPLtFYKWAhpYWCggAkUBqPceeSj1N0GFThtFIoQqmXswgPEgVwEhoxavl7JO56FPjg3OuwkkmQe7sPI0vRQNrsiVVzz9JP3TlM6nUWfsWfcuxDE3bgcFUVySeI0f1YdayWa7hbgzSHTz1IWyItUNQ61p5pzYg06sCWkrhlu4mIGoQi1TTWs3luw0Ku79CLRcVzGXnGhfXGO1NKJq+cz51d+6W4C1UYTkvkkWJe1ExNfgZ1nWxPgDsWv0soUsErQ67DsgP1xrUcr6fO5/wIIetNKDTL6UBuh3u4ddFbbhL6kW5XkF+x3dlJ86MKUW9baV1Xi5JIiLBRQdyThWJLTEWtd1628B6mG+HRAvVqSdjSIrdSJfHqB8iySsy8bDw3/AQaneY4mKWRximGdJvGCQaJQqlh8KuF8xk16zN+tXA+pYaRXMAePbyKwu1devPbtWsZPa+Q365dy+1deuNNulhoisXEPm0I6n7ACdoT+7RBU2pXI6piM3aQh4IMJ/gVZAjGDvKgKkdf1uBRLSb0yz+klDgfj5pe9ZxKUFWFhhnZBDMb0DCzAXh1SsM7mbdyGiXVe5mxahol1btZuuUtvo7b3FI4l0tnfsov5hcyqnUPuuQWEIpUcd/SzxgS7M5vVr9DhuZ3ytITUdeVoAZBPUC+38fHu3byyKDTXX7N2FnBg8N9KZy9e6CHGTsrsLDZG65m9Ly5/GTmDEbPm0upYTB97SwumvUslQnDTURArdDl1W0HUBqvTplDzWKqLhplaEStajShkpERRCgarS98Ek1Pl1ee6FCEIN+fSVDPId+fiSIEphmntGIH81ZOI5oI83XM5uZ5hfxk5qeMnjeXMsMg3+u0bdRwNzPJWVva9XIWmUBIG6SNx65AExaPDHJaLf68sfSweDtpuBdDRhk9zzlfbp03l5JYnAOJMipty01E1Mxh8sovyPB4Uo5dk7Cri0YZGpZ0FvzBwOmoddLdNdwFXM2INIdPLVjJe6UUAcukm4Y8BoHqNE5dRKVgb7iUoJ6Zsj2oZ7K7uozCol289tUqhhSci2nL+uMdFtP6j2BtSSjF4WrG7l08OriAGTsruHtgaswbN0SQ45cpLXGP9uvPMxv+6Wr7lMbDxMwjXINNM/k5P48O6EBxbF+9jhWGleCeZe+mCBdPWPNP2vW8k659fsVrc2+konoXk3qMSmkrndRjFBXRr92xujcaRrUQPL7xD+w2YuwKH6h3XoqwaNlkWMr2hBklKyPVnSMrI4iKSuLVd5FlzgMPWVZJ4tV3oTpt6JDGqQlxKl54evfuLVesWPF9T+PfQihcTa6qoUYUFEtiqwJLtym3TIIZmd8+QBJF4Woq4wbZvkxXtKwyXk22z0ujjEyKIhVkKD7ClsC0pWNJqEoidpyCZP90eSxMWVylqFoS0FSipkWjTEGezyLXn/EtM3BQEg2DVBCWF1s6lRJSNUDY5AeObowTEP+R1PSJzFvLTJCIlmDbJoqiogkfSsLA9npJ2HGk4iGMB0Pa+BQVEzBtG1VR8CkqcVuiITAljJ43h1AkwkXNWjC6S1dMy4slQRVgk0AIBY+AhBRYtkRVwKPYbC6v5NWNW+jeMI/L2rRCBXIMBdWSWKqgwiOwhcCrSExbQZoCKaEkZpIZkOgeOBAz2B8Ns+CbvQxufAZ5Pj8FgQBeBbA82JazQDdFAgtQhY1HEVSbCSIJybjFK1MEuGpaNRplaEwZUkDDQIK4LbGS55RXERi27fweAnJVL2V2DCv5t8lTvCAtonYUS1qoQsWHgpA2CgqKUNH04+Zg8D/H2/ogpU0iWoYtLZA2UkoUxYMqFUxVpdwWmNLGp3qwpSRh23gUlVsK59C74elc3b4j2R4PpuXBkk6lmKZYmDIO+Nx461Nt/rx5O3/ZupOgHmDqgN6cEXD0dqossCT4hSDbAGGBrQhiPoUEELcFqgBdS1CWsImYJj5FJWYlKIvHaJuTTdw2sbEJKB5U24dtCxRF4tVM9kVj3J/k6tVtW3Fu01ob0Br9IN0bwZQWfkXFozitfAnbwq96MZNK9poiyFUULKMCVfVjYGIlnWICSgA7EUFRvSiBHKqNChK2gUfxkuVLfXr4HXHceXuycfZ4wwhL5vw2QrM+GgXtnRunb9aZfL3G5JxxekrFRBr/Fk76WLsvXIphmuQoeUhboKggBcQs4cQ3LYEEIqaFIhQsKTEsC5/qBSnwqgJVgh6XqLaNVAXVXklUOhb2HgXilnCqZKXqrg8RCSQCgZ2Uq3ZEgD0KYHqc9aQiQU1wMCq4v05cmzKkgDyfxLAlinA+a2OjCdhaWcTLW2bQo0FLRrUcjkiObEnHohQkr341n5s6DEHiJHFV4VSxxew4CpKAqmNJgSVtookyEnYFDQJBTKmh4MOwbKoTERKWn4eXlLvzemRQQwJKKQFvFj47jC1NorFSdF8+iqphShNbWkSjJWT488lWG2I+8Dz060LsnC6YmkBRVHyoKKr2n3Q1Sp/4aXwvSLdpnGDIUzXU/TbmC5sxSwxEvhft1rbknX5sX1WmqlGBdoiLRQGZySchWYqPvRHrMBvFpnqtOKUHFY9iEcxUUQTYUqApFh7UIxz1cASESmm1xpuz4pRXS3IzBVee66VBVtrQ/GSBZSaIlG1j/ax7iFWF8GcF6XLu43jKyok1yGXP9ln42l3JvctmkO/Tub3zAB5aNZtQpIqftu7GuU07MGvvDs5p2grDkm4i4oZOXSmJeF3ByZoqhre2HuRnnfP444Yy5n8dcbm7rzLOvT3PxKsoPP3lNu4JNsN+dRdW8jzJvbUNk3ZVUhK1uK9bAe/NNlzOXXWejyfW7mTeN+U00r08Oqgzr23cwbzQQYYFG3JH+468Oat2/wtHKLy2Yyuj2jWmgU/jo92bydC8PDt0ADbOosmvyBR9iZgdpjwuuXPJJ7Wl+31H8upXyyks2uWW8r+8+WMKi9cTDOQxrc/PaOTVeWThDZREQuTrQW7tNomD696kbccrKVv1Jo3735p25DhOkNImXLqNHctfoGmXK/mq8CFiVSHyWwyj1aD72BczuW/ZZ+R7dX7ZdTCTViygd8NGXNf+THo3PJ1LW3dgeaicHg0b82Ad3o4d5CE34OHFNSUpnL28TUsuaHEGRZEoHgUitkVJDO5fuJ2Gfo3pbZpivrwDmeSwckMbwlleHv6yiJK4I0L86oZvmJ/k7fi+zXl/+wF+3lln2ur5XNW6Ix0DzVK4e+W5Xrwe2+WqKgS6Cs+eFXSTfuWJCiYtL6TEiDCp1wh8Koxb8Ufyfdnc0fHHPLTqEMva8H4Sms0/lk+iPBIiVw9yxcDHia16GytWgXfQTfxu+ViXw2P6PUWT7DbHMyGRxnGElXTNOLQyAnATsmn8byNP1amIenhtZu3a7eIRPp750qA0Jpk03EdewKAoYvDw8q/odVoel7VuwT2FReT7Ve7q2ZBGlQnkKztIJONb5q1teDG0n2X7q5jYrwXPr/2akmiC6UPbEE5YPLB4Zx370Oa8vXUPl7dtzNKiYn7UuF1KnLviXC+zvtnCHT1Po4HPT65P4/2dmxl+RmMyNS93LZpfx41jICv3l3H/mVfjVRSeXDufq9p2Z/LK2W6ce6Dn2dzYYRimlJTEI5TFo3yyeyOjWndlUfFWLm7eg73hah5auYhQpJqgnskjfQdTnbCpiNs8vHxtrYvHgA7c18+LrmWT6/Pz9Lo5dSxGz+HgzvdodcYwVNWDIQ3C8TLCsVJW7/yI4Z1vJqZWI8b/lBK1gt8tH+3G1Vu6TWLfhr/RvftocvP+N9cEQoiRwNOACrwipZxazz6jgAdxOirXSCn/L7l9Go6FpwJ8DoyRUkohhBf4PTAcsIEJUsp//Kux0ji++N9j8gkOJaJgvrAVWeKU0MoSA/OFrSiRY/uqqi2lXheLassZp8oSbiICoChicP/C7VRZtYnRKktyx7y1XDlrMaNmLuTKWYu5Y95aqo5BcTtmetwLCEB5teTNWQYx0/Mtn0zjREEiWuImIgBiVSHWz7oHu3ELls2+h9M6jOLeZTMJRaq4tl1PNxEBcGGLzty3dC4XtmjHuKVzKYtHCeo6V7fv6Di6HOJ8MX1RgvNb5jBhYTE/bJkF1HJ3cJMCxi3aQCgS5/8aB9Ff3ZVynlgvbOOqJplc37EB781OpHDubzPj/Kh5gTNexGD8wu2c38Ipj7ykedPDOPrxHJtLmjfl4eVbCEWiXNa6EwMbteL2wjVc9ulSbp+7hgMxk9J4FbcvmMWPZn7AnQsXUZmwUkv3l33GBc071r5e+hkXNnNsekPRMu5d/kdiiBTf8xfWTKag3YWsXPAQeZ0vSrsZHEckomWs++wugu0vchMRAAXtL6JK8XHfMqdN59r2vZi0YgGhSDVXt+vC3nAVP23fifGLNzCkSdBNRIDD2ycWJiiqlodx1pYaQqjcuWgedy2ajylVN+7e0TqIJ5mIAIfD6qvbUKosru/YwB3jgpaOWFpRxODRZbs5v0WQ+xdt4Np23eiV16ze+JqjZrtcvW3uanZWRSgxKrl9wSwumfk+45YsZXTnQeR7dSavnEN5PEooWsZ1bc9xExFQy1nyWruJCIDySIi/L7qH3N7XEOh8oZuIAIfDTy+9k6p4mrMnKmy3TSNVM6Lue2n8byNuavw1mYgAJ7Z8OCfOT7t4KA5LJs+NY9leHl7+FaFIjKvbN3edga7umAvVJr5Xdhx2jR7dqpGTwFi6i2s6OD8XhQ03EQGpse7RFVv4cfPWh8W5v88y6NmggHFLlnJzYSFjFizizIYNeWDZUkLRyCFuHIu4qEV77l0yl28i1VzQvKObiHD2qeLNbaupSBjcvmAWNxV+xlNrVzKqdXfe2r6Oi5p355tIbSLC+Uw1E5YtQBMZPLw81Zlu/OKvCFtRKhJl3L7wbQqLdrrHuW/Z57RoexU79s2lOlHBG4W38Ycvfs7M1dPp1+4q5m54iQOlmyiO7zgsrr64ZjJN217EnC/uJBb734uvQggVeBb4IdAJuEoI0emQfdoC9wODpJSdgV8ltw8EBgFnAl2APkBN38wEYL+Usl1y3MJ/NVYaxx/pZMQJBsWSbvCugSwxUOxja6cxv8XFwrSlG/jd9yMGVp3jWLJ+xw3rGFp7bBv3AlKD8mqJnXbTOGlg26Z701aDWFUIaVtEq0PYwuNe1LO9PvdncMTzQpFqVCEIRar505Z1TOjVG1Uo2Db1urVkex1Bv2xf7eO5orCJLR3++TWVfM1T73mS71HI9Wr1ci7XW1tdVBQxyE4KXeV5vPXv7/ESisRompmFgophS8Z0b0PnBtmEIjHGLdpAeTyRsuh5cPkyrm3f2x0nFKki2+tLfe2pbU8KRcuwZOrJUBIJoflyiFaHUP3ZaTeD4wjbMohVhfD4slM47fFlY0lqeezxuYtOVQhe3bQaTVEIRWLYR3AZCmhqvZx1SoAdflg2btzN19R6ORxQcblaFDZdnkItb0ORGNleH7YU9XJXSpHC1cnLNlMRN1O4+sjKlVzbvjehSBV+zZf8vTNSzl9n3ypMW7qJCPc4kRBSURGBHHfBXIOSSAjTTnP2RIWVSFZGHOKmAWl7zzQcyCOs3XK8TjwrDstkzHTWiHWFcrN9KlmKqDe++aXzeSeWOQQMaGq969GaWKcJ9QjX6LrX1ijZXi+hSISAmlraE4pEUJJrkICqHbZOAbigeSfuWzLnMOeQC5p3QhUKAVWrV8xTIOpdJzfwZnJGRm698bTSqKJtm0v4+8K7UxK8Hy6fTPeWF+H15aB6AvXGVY8vh3A4hHUSrAlsUw6IVtiLImX2zmiFvcg25YDvOGRfYJuUcoeU0gDeBC45ZJ+bgGellGUAUsr9ye0S8ANewAd4gOLkez8HpiT3t6WUB79lrDSOM773ZIQQYqQQYrMQYpsQYtwR9hklhNgohNgghPjrf3uO/03YqkDkpyqXi3wv9jEq6GoK9YroqErN+4JGeupxGule1DrHUYRwBS5r4DhuHP1cFMUpqauL3EyntzmNkwOKouLPShVZ8mcFEYpKIDOIIhMEdeeJcKURd38Gp+8yqGdiSUlQz2R92QGe37ASj6KgKLjCVTUoyBBUGk5bUWW8VuS0xoElqPuJmRYlZqLe86QkYVNumPVyrtyo4+iie6k0HEuxsoRR//4Jg6DuxwZGz13NLXNW8fTqbdzapZV7k+fXUit8QpEI2Z7acyaoZ1FpxFNfJ2pFqIKBvGRfai3y9SBmvIJAZhArVpl2MziOUFQv/qwgiXhlCqcT8UpUQS2PE3FXuM2SkpJ41OWfosh6eRs1rXo5ayeTt0Fdd+JyMu6WmFa9HI5auFx1FOdrre9qeBvU/VQa8SPG17htHTVXg3oWMTOe/L3DKeevM+8sRztCT40BuXoQYVvIaAX5h7yXrwfRlDRnT1TUJ2DpVkaktaXTABD1x5YKw4lnBRkiGTOd611dodzKuEWVLeuNb7GkG5sTyxwiRk2r3vVoTawzpXWEa3Tda2uASsMgqOtErVQSB3UdO7kGiVrmYesUgDxfoN5kQ54v4GhEWGa9Yp4SWe86+fRABqZRWm88rYofAKHWm+DN8DfAiFeQiNcfVxPxCjIygqgn+JrANuWA6gP2h8veiA2Y/1y0xbI3YgOqD9gffseERBNgb53X+5Lb6qId0E4IsVAIsSTZ1oGUcjEwBwgl/82UUm4SQuQmP/cbIcQqIcTbQoiCfzVWGscf32sy4ruU3JyqsHUb7da2bhCv0Yyw9WMrJfCptqvSDiRFdArwqc44XkXy6KDW7gXA6aNvjbdOksCjSCb2aXeI40Y7PMeQSFA0kyvO9boXkppeP0VL14KeLFAVH53PmebevPmzgnQ+Zxoe4afv2Y9z4Ku3mNb3PIJ6Fn/asooHep7tXoA/3rWBx/oN5+NdW5jab7ibkFhf8g1CGEw6gvPFI4MK+HSn80Shpv9+wdfFTBnYmVyfxl+/CRG5oUXKeaLe2oa/fV3Na5tKuXiEJ4VzV57r4/3dThK8Rh9lxi5nIfDB7r1ceQhHLxyh8MHuvTwyoDPPrtmeUoL56IqvuKZDs2RiJNUj3VkIJV0KkpoRn+zeVPu630g+3rPEeZ3UjPAj3UVHjWZE8ZaP6TX4Aco2fJR2MziO8ATy6DrySUKbP6LDsAdcThdv/ogsO8ZjfUc6PN68ksm9BxPUM/nLlvVM7TecDSUhpgzszPyvQ4c5towd5KFRpjiMs0KY/GXzRrdv2aPYTEnG3We2h0jc1CqFw9YNbbCzVF7bVOqO8clO5yFNTR/1jF0hJvZpx/zQbqIydhh3rzjXyx+37Dhqrk7qNYJcX4BgII/Xt37OAz2Hu+dvDWcp286lfSa7CYkazYjyFW8Q3fAxv+zzRAqHx/R7iixfmrMnKuwkFRSt9gavxjIw3aaRBoDqMbnqvNTYcvEIH39en0g6/fhQFIOJfToQ1P38ZfNud835l03lkKkRv7HVYdfo53cU0Uj3MrFfC974yvm5UYaXhwa0TFmP1sS68b3b8d7u7fXGuQ/27ACcRMT43mfyye6dPNS3H8GAnuLGMaX/QD7atZlH+g6lsZ7JJ7s3ManX2SlxLs/rrzfZkOv189Hu1QQDGTzQa6C7T41mhCnDTOzTNmWd/GDfFry17tfk+TOZ1m9kynEm9RjAkj1voymeehO8Gb48Nq17nS1rX+fW7pNT4uot3Saxd+tHjDjrKfz+Ezu+xsNy+pf/iDeMVTj3C7EKyZf/iDeMh+X0//ChNaAtjv7DVcDLQohcIUQboCNwBk4C4ywhxJDk/mcAi6SUPYHFwBP/aqz/8Pz/J/G9umkIIQYAD0opz0u+vh9ASjmlzj7TgC1SyleOdtyTWSm7KBwhU1XwRhQUW2IrAkO3qbZsGmXoRz3O19URXtu4h6vbt0AVAktK/rJ5F9d3akaTTJ2icDVRUyKEipLULZbSQtcEBUnXjtJYFRVxm1Akil/zEDMTBPUAOT6FBv6sb5mBg4PRCJYtUG2PI8UsJJaSQFUkDQNH//ucYDjplbKPBbZtkqgIYUkTFAVsG1VoqFoGKIKEHavjpiHxqyoJ6ThKKIpIddNAOk4SQqU8HsevegmoAVdJO2En8KgqHiFT3DQUYWFKiUdAdcJpH2rg8xC0NQJSAU0Q8UliUsGywaeCaqtOO5AAQxhIJEXRGJVGnLUH93N5m3bsj8Yoi8fZUV7JeU2a4xUqatJNY2N5BQWBANfPXnXY3+TFET3xqwJLJhi/dDH5fj8/79iZZhmZeFQFDUhg4VMEcdvGlhKVOm4aSaXutJvGfx+HuWlYCcyS3US/mk3GoFuo0nRMKfGpmuumEVA1ErbkrW1buahl6zpuGg5vK4wIm8sO0KfgDGwJqgJ+1cawLaKWhZSOm4oQkKVpxGyVhAUqktyEQLNAqgpRn4KBxLBBVSQJK4GmKpTEDDI0DcM2yfZ60YSNKeG2wiVc1LwpFzdrBdKpiPjjlh18tLv2iduLI3oipYVHtZmwdAmhSIShwSBjzuyBQKIKQUBViNkxEtLGpzguIf+Om4ZpG2hpN40THvu3mHz5dpxOP/SSke98T6V7LLbPSzDgRj/ZBWkFy++Ikz7WFkXCPPXlRq5q1Y5GAR2PKpAKGLbjgFFtVfPmls1c1KIVp+sZ2BKQFqrwYkrwKQIFyDjETaPalkQTJhkeLSmKDpoAhNM+XG4kyNA0vCqAQEm6aXgVgZlQUFCdZYiSwJQSW0pMaSfduCQgQYKmqFjSiW+aqHHOwInPQqAJMLGxbBtFCHyqxoFYlHuTrRpBPZPH+g3Hp4IUNh/tXsIVLYchUbClxKMIKiM7UBQ/mf5GGLazXimP7uPDTdPYUb6Oaed8hG4qVKgeyuPlVMUPsGTP2/yow8009DSgMl7C3xeNrRUFHjSdr7d+yqZNb5CREeSsH/wePAFMaaIKFS+qU6l6ErhpRMrsnfOfi7Y4dPuQ2wK79Dyl5b8z5lHeM74ALJVSvpZ8PRsYh5NQ8Espf5Pc/gAQAx4HqoEsKaUthGgKfCal7HyksaSUy/+d+adxZHzfbhr1ldz0O2SfdgBCiIU46qkPSik/O3QgIcTNwM0AzZo1+49M9r8BU0p+8PE/D9v+zsgRxzSOIgSVRoI9VTFyPF4qEgaVRsJtsVCEwMZERSBxbI1sLISoLeW1pSTb6yGgeTGlRBM6HkViy6N/dKIgKDFsxi3Y6KokTx3cmtP933uH0AmBk4G3iqLhyQmiVB906ns1H2pmQ5Rkw7EGWFYCNXwQ6c2iNLKXwg0v0aP9VbyyejIlkRA395pCblYn7l3+R0LRMt4d8SBRy+L6L+Yedrx3Rg7jgjlX8OGIv3Hbws9TSieDeiavD7+AQPKGMSoEmgoxTA5Eo7z61Vpu6NCTd3d8w9lnNGPCoh0pvJuxexsf7d4FwE9at+aWuQvdsV/atAWA54b1pdKI8/SaLYzp1pmhwYZc0KKpex59smsvBQEvXgUM28Pvh5yFKgRvb9vMXdvmE9R1pvYfyO7q9YxfM5Vg4HSm95pAq8ymeDQ/QQ5PwvnJOX5f2H8BJwNvjwQhFLx6vvvatk004cE/qA0xo5yqjW+S0+liyqKlvPTlJJe/TfMG8pdtW/jLNocnzw8dzuh5cw8ZfQUvDRvBTfM+oUveaVzbvgt5Pj+n+zNAGmSqAg+CKFGyPQEiFpR47eRi2WTiklXc2qULjy7bk8Lb93dudnn71rkjMXASgqFIlJc2beGlTVuYOqA3M3Ye4IIWTbmgeTOXq40CPiQSU0peGHo2XkVyIBbnF/PnumrzU/sPJEuLc+uy+wlF99fhbDM8mg+SyWf/Ib8tgVre5vjzD333hMLJzNnjjXrbNGo0I9KVEScUvi/emrakMFRMYag4Zftzw/oxet4c9/VHe3bx0rAR5Pv9XDrrU/444gcURw2yvV5MyybDq6IoXsYv2E6+38MNnZvSJCNAKBzlhfVbKI0b3NOzNZpi88LGldzWuSdC+BizcJEbnx7tN4B/7vuKs89ohWmrTFq+zH3vwT59yfZ4uGPxbPJ9AW7o2JMz9CwECh4lzL2rHuUXHX5GltqM+xevIhSJEtQDPDagKxmahkTDtuIkYl+T7TudX53ZjRyvToUR4bE1H7O+/BveOftmep3WFJU4kZL1eH05aBkF/PmL6wG4bNAT/HHD9BSNh3w9iLQMYkKgxkop8OeQLxrQpsMv8Bgx4iUbML9Zw8+Hv4KNRBUKHtPEW9CHVmcMRSai+GyBXz/9pHTNEAohf45oUVMZAeDPEQiF0L/42LdhOdBWCNES+Bq4EjjU3eJ9kJXNmwAAIABJREFUnCqG14QQDXHuIXcArYCbhBBTcJIuw4DfJt00PsJJVnwBnA1s/Jax0jjOOBkYflRlMlLKl6SUvaWUvU877bT/8hSPHzQhCOqBlG1BPYB2DDoNAAFVcGPHjry01MvYmZKXlnq5sWNHAmptMqI8bnHn/HVcMXMZd85fR3ncStGD0ISHAzGT0XNXc9mnSxk9dzUHYs7C/Whh2IJxC1JdO8Yt2E7cTtsZw8nDW0XR8GQ3wpN3Bp7sRm4iApxERKxkG1v+cRNxq4q3Fo2la6uL3EQEQIv8Pm4iAsCUJjHTqpfrNbIl84rm8ViytcN5L5PfDzqHUDTKrfNmc+nMj7l13mz2RiOYtuS+pXO5oFlb/rBxKxe3bOEmIqCWd1e37ZQcS0eh/nMtapn8actaJvY+k3UHS7mhw+Hn0bqD+ymOJtxz47a5qzmnaSsuataCUCTCuCWLOLNBTwBC0f3cvfIRyoyK4/ulfI84WXh7NKjhtvR4WD9rLPkdL6Y08o2biACHv6ZtuqW/gNufXBdBXSff73fbkZ5auxyfoqKYpUijGI/Q2B0r5+/bV/F1NOzyeEdlBXHL4oZOHdxEBNTPWyklEqdqoS5/d5RX1hvzDdtOieH7YxYz9+xOEbMct2QRQskkFHX0uWo5W/6f+8P/l3Eqcfa7wq5PwDKZmJBpzYgTCt8Xb4+0Fo2Zh+sx5Pv9iOTPxdEoT6/ZwLNrNyKEoCIuGb/QSUSM7tKK3y9W+PkHcX67UOUXXbrwyIBONNL9ZHic25HqRIL7lyxKiU/jly7mkpZdiVu4iYia9x5cvoxQNEK+L8DoTv14YuUurpi5nNFz11Ae93Bv59tQyHATEQANfD6qEhq/mLeZyz5byS8WbGO/mUk0UsxT62dxy4LXuXfZ26wv/4agnsPeyD6yVIFHmsz9cjr/mH0T5ZW73DaLxZte58buk1JaKn7R53Fmr/kdz3z2E/625F7C4SIyvdls+eSXrHz3GjYvmU5uh/PI1E8jN7MxfjxsffdWdn0whp3v3MyuD8aw7YNfnLROWr4McXePS30H/TnOgs6fI+hxqe+gL0Pc/e+OKaU0gV8AM4FNwFtSyg1CiIeEEBcnd5sJlAghNuJoRNwjpSwB3gG2A+uANTg2nR8lP3Mf8KAQYi1wDXD3t4yVxnHG952M+BpoWuf1GcltdbEP+FBKmZBS7gS24CQnTknoqsKUAb3ci0BQDzBlQC909di+qripMXmukWI/N3muQdx0Vh8Jm6RtYW0v/MPLt5CoI00Rs+D+RRtS9rl/0QZix7BYMeuox9egKGJgpt00TkqYhoFdFsIu2YddFsI0DMzwQXZ8cg9GVQjLNimPhPB7UxX2Ldt2ExEAf972OY10PxN7d0vh+tQBvfAqNl/84G2GB4eR5/XxwtCRzBh5OS8MOR8hNAKqh96nnQ7U3kg5ThvVZHt9nN+iKRWGWS/vVKG4PaTzQ7sOO9emDuhNu5wcHuozhKaZOqNat+OhwsPPoy75TRi/OPXcGL94A1e37+TOq67rTCi6n0R6lX/CwjQMrETUcYlRFDQtcBh//7RtFlP6D3ATEJ/s3snU/gNTepOnDRiErqm8MOQ8Phl5OS8OOZ9MTwCp5ePTG1Np29yz7D0uat6T+5csdhfVfk0lalo0ycj4Vt6qAjRhk6eoTB3Q0+Xv2We0qDfm76syD4nh67moZZuUY4QiEQ41bEpz9tSFVa+1Z1IzIv2VpwFkqTD1kOvjr/t0I8enuTFvaLAxvx8yHIGCKhSeHDiET3bvZHzvM7mhUzseXbEFv+o4ZVzb4QyeXGQdYols0cCbwV+2rmX8snnJSrKAGxdrEIpEKI8b5Pn0et8LqBrXtuvGoytSLTbHLdpEeTxBA29DNxEBcE2HNjy8fHPKvg+s2IdpS6b0/CFBPSf5O+cwre+PaSgslq1+iurofqrCznVhxbqX+XFfR0fn69J1fLn5b9w38AUeGvw69/R7hsXrX2ZzqBBwhCnfXT6JBJLWZ02mw8jH8QTy2bnyZaqjBykPh4hKAy0jtbrsZHbSUjSxOPM05eK+1/gXD7ktsKvvNf7FmacpFyuaWPxdxpVSzpBStpNStpZSPpLc9oCU8sPkz1JKeZeUspOUsquU8s3kdktKeYuUsmPyvbvqjLlbSjlUSnmmlPJsKeWefzVWGscf33ebxncpuTklUWUaNPB6eGHoMEwp0IREiDhVpkH24UWyR4Qp67efs5K2SjU2iXURisRSFqTmEaw9zWPQGalRj6+7wG6ke9G+7zRYGscM0zAQB7YT//M9yPIQIjeI96ePIzOyMJI2iaqikasHiRmOEnTNDZ2qKAQDeW5C4sN9S+l/Wlt65HfkuWED8AiBKR3OmbbAxOTWBe8TilTx09bdObdpZ+5fvNItsXx0QC8APtq9y73xD+qZVBpx8nyZlMaMenkX0BReGDISWwqGBbPQNZPnh/VPHtfija0rWXFwH4/2OZuApuLDV+95ZNv123nVVBYFdR1VCF7qO5U8fyNHY0NolMdKEcjj3VOfxndADa+JlDguMbaNaUYP4+/yki001vN5dshwJOBTVGwJzw45C0WAgiQhTa4vfIfe+WdwWeuejE/hbE/yfQqhSAWqUFMW1ZWGQUyxsaU4jLdDGufiU3w8N/iHaIrEpybw48Pn99MceHZoPwzbRhMqxeFUkcrisCSgpl7mQ5EY6iGVdkFdd6vvLm5yLte0/j+Xs1WxSuJ2GM/x14JI43tCrYBl7TbX2tNMO12lAdIKk+cLcH+vjjTOyGZ3dSW/X78UgIf79iPfnwFIbCmQ0oNhQUD1Mq5HLwzbwpaOFXKlkaCR7iXbq1EcTn0KVRyWVBgGQ4LNuaB5O4J6RtKhIzXpENR1yuIx8vzeet+LWibZXn+91+Rsb7PkmAE3IeFYgB6+r8/fBo8Ic2+3QQRUnagVAbuS+Wt/Rzh2kFis1N1/f8k6ln75DD8b/jJSWsTKdyMqQixfPJl+Qx5yExE1KI+EqI7u5/05N5GVEeT8IY8Rt+P8Yc4NrmbE5UMn41//CRmthqAEcpCJKELzcbJC0cTiQI4Y+H3PI40TH9/rquI7ltycksjWvJTHfNw10+C692LcNdOgPOYjWzs2Gx9N1G8/pyZtldQj2HaqKW0a9e9zLC0jARVXPR5qnQwCaX2skw5KuAQjmYgAkOUhjD/fg1BUvElXAi0aYdTAJ1i346OUssVdJcuZ1udnBAOOAvQ1rYbTPLMVN89dxKsbt3AglkgpJS83JBc3daoMLmrRxU1EgOMnPn7xSq5u1wGote2a2m84n+zZSp7P66hw922ewrsnh7alPKpx90yDa9+LcffMBEVhD9PXFvKTz19nzOIPGNm0Hfk+nfHLZxOKVKIodr3nkaLUb+fl2IfpTOjViyfXziPD24jnNyzn8n/+jVvmv08omuDTrX/m68pt2DJdHnQioIbXfP4yXYY8QMmmD2mgN+bmHpNT+Pt0v5vokd+ZX8xbyqSlq9lTHeXWuau59NOl3DZ3DaFInEojTr5X56ftermJCKjh7CpMqRLUc7CkldLi8cbmTRTofgKaYGK/Wt4OaZzLjZ1actfMONe+F+POzwyKwhr7zTBGLEZYmoSiFYxZ/D4JO1G/5aiVKgIQ1P14FCWlouPXvXsTtQz+0P9JRrW4ijsXf+Zydl80ygdfvcxv5l2b5u0pAiuZcEhbe6ZxJFiKig0kZIKn1xXiVRyLYwBVeHhq9QZKYyb7q1Xum5Xg5x8YjJ2ZoCTiYcKyQoqjYYK6nze+2s34vs2JWla98SmgaTy9Zgu3FS7jtsIllMUTPDlwcEp8mtCrD5/s3olXKEwbMCjlvQf79CUY0IlaiXqvyTmeLKoSJUzs08Wt8oiZZv3rX83LM5v/xJjl47l5ya8Ys3w8Y7+cyoAutzBqwDQ27/go5TPR2EFU4KsPR/PVJ2PYtfRZBg2chGlG63XKqElmVIVDVCXKeWf5A669Z3kkxNsrJpHT92d8um46b865iRlfTqEydgCZjrlpnOL4Xt00/lM4mZWyi6tNnluW4KJWHnK9gnJD8tGOBLf19VCQefSFLAcjUUqiHh5Klu0WZAgeGO4lP5CgoR6gPBamLC4JReL4NTXZv+8jzyfI9WcAUB6LUha3kx71Nfv4yfMp5PoD3zIDB/uqq1hVvJ8+jZpg2Y7K/PKir+lVcDpNMo/OkeMExEmvlP3vwC7ZR+yJSw7b7p3wOfFIsduq0eGn72D6/CiKj7BMYEoLTajkKJmU23EEAqSX0YVLCEWi/O3c4bywdieXNmtKrsdLecLgH3v2MqZ7a370+Wu8/YNruWJm4WHH/ft5wxmzYC5T+w9k1t6NZHi8/LBZR/yKyoGYxazdxVzYsjGqEEmHC41ffRZPqXQoyBDc3L+ce5a9BzjWW3d2Hcy9Sz/l+SEX8uXBrQw9bbhb/u5Ymnn5smQHA4NN/p+98w6Pqkr/+OfcO32SSaWMSIdQQu+hJagL2HXtu7qrYgUERSwgdpoFFRGx913L6uqqqLCK9BAIPUjvZSjpyfR77/n9MWHIkGGVXdYfuPN9njxPMnPn3JnM977n3Pe87/eLLkEQUeo2CYFNFYQMg2/3bODVzStixjs6/os5g5mxbBgPD3zv1xb9+5/k7c+hNq9F4w6Iyx+A5Ex0k4UqIxjlr0oyt83Px+PzMzWnB9/uPFKHs5e0yiRsBGienBmXs58MycWnVzNn708MPrtLtFXD7XDw8oBBjFi4jO6ZmfyxTauIoJliZuycUB3OTj5PYjUHkNIcrSC6uHE7rm4+MCbmP5ZnJdkWIqAbfLBpDyuPlDOlbwfq2834NB1VQGXIz1Nr5lMS8vHKgMu5Y9HneHxV0fMd5exj8y4gw+H+TfD2TOfsf4otP4bYlR+mxx+P3ZD5KwyKvgrR6TIr7uz/76LZMx5nfKwt9h5AI4mgoXPV93+lQ2oD/tSmOy2SMxm9aDmjO2djFQ5eyjfVnVN7V/Hu1kJGdcjh8eWb6V4vlZvaN8cXNPPY/GCt+GRhdcke6jsduCxmKkNhvtm1hzFdOqBJg5JAgLJggNm7dzKsXTZmxSDVYserGVgVEzbDDIZAKgaYNQ75wzxY01rsdtgY37MVn2xfwbWtW5FmTsXj92FXrShCYlOTom3IboeNh3s154Odr3Nxk3MZWzgx5n/x5aA32LX6dZq2PJ8flj9OlddDstPNxbkz0E31qK4+hAyUUrLqZQSSFv3uJWix8PGSe6NVD5f3egLF0EFRkYaBOeksyv1HCIbKWbHxbfaXrgfg9nPf57M5N0TPnex0c+Xg93Daf5WYmxBzS+D/BYkZ5zSDEHBjloUVc4NUV0qSXIIbB1sR4iSTRgIclgDPDrFhGJGdXE0GoipVIRkmaAieWbUlGoyn9G1PqFZySkEQMvSYY6b2zUbhl5c1WBWFRskpDF+wJFquPKFHZyxKotT3jIOiIlLd0coIAJHqRgkHsaQ2p8E17xE2dKoVBbsQHAiVcm/hRDz+w+TW78OtWdfx+paPuK75H7CI5OiusU1Rub1ZawrnGjWct3D74NbRKh5DGjEllhApuUw2mXhl4HloBlzdsgdWVbK7uhxVWJi/7xDnNm7CmIXboq4EL+a2j9ty4TI7o397fFW4LFbcjmQCWpBXtnxDt/QWTBvSBF1GLMhsJo3BziYc8ocZt7So1vWTzTsbd7CyuITJOd054Kvmq70bcVmsMeMLYaHE50Ezzsxe0N8cFBXRPo+q3pejZTbBZHWQrFrZFzzMvYVPRvl7T/u7oxxsaLfH5WzI4senyxNy1iBMA5uTq1t2xyxU3hl0HgE9oq0jBHTPzGRI06aMWRgR/X1tUIe4nFWEGU36QMpo4uCrvRsZ2LAZ04Y0QUqBgcH0tT+x0FNcw88O3NahOVXhIMPmHYvHU3K6069hE17dtCKi7VIrEQHHOAskePsbgaHJmBYNSLRpJBALQxpYTCqKUPnidzejSygNevGGQ3h8flwWC4phij+nWuwUlR3hxaJ8ZuUNoiIkGfnjFjJsZkbmNObsJBsHfX5e37iRm7Ob8tZPm1noOYTbYWd8j84YSIoDPurZHDhMgpEdO/FS0RJKAj5GZOfxyRYPtzdrzYK5oeg6Oe8iM/WSDUZ3aYTLYkMzdARhrmvVnYZ2J1bVwOMvxWYy4zQ5MCuC5wdkUx0OUhH2Y1FDpJiTaZnUmtf6vEBluIJ3tv2VklAZFlQaZf0BHA0YfN7HmDGwCY0DQcEDC5dHY+mkvo8jN76LoYfYvfIdru72MNakhggUgloV8ze8Qc82f0CzpTK24KGoc9HEzqNh7XS8gWKsFhf1MzpyuCSSnKjyejASMTeB3zhOnRG4EKlCiFFCiOeEEC8e/TlV4/+vwGoo0UQEQHWlZMXcIFbj5L4qgeCwX2f4jz9x5berGf7jTxz265FdaQBpYdzSn44TNvsJ5LF2EJ8uo1nmo8c8uHQDPv2XL1YMBBML18aUK08sXIuRSMCecTCcGViufwaRGik/PKoZodvT2OE7wrAlM7l03hRuWfIy+wNVvLr5w6g6/8VNzuO+lZO4uPEFTFy1hLKQL1oyaTPM0Zs6iHC+cK4R2fUAvtpVVEdocsaA3hz269w5bwtXfVPEnfO2cMhnkG5x8EjBGjpmZtRx09hXHYhbJloZ9kb/djuS8WsaT/ceitvhYmz7y3GYU7lj0Xf8fu7fuX3Rd3j8PgK6jCYi4Ji46x/btoq2kVyf1R23I5nKUDBmfClDZDjcmJSTa71K4L8D3ZnO3ovuZtjuH7lk8QsMWzqLPYEKXt381xj+6lKLcjBV2OJyNk2J9C9/sGUlk4/j7OScbjhUOBio5JMdCzEkHPQd4/DweVv4U7usGDeNsmD81gtFGJiEUuOoEakwu71NTxo4I1yVIsjIhYUs9BQDx4QrdSkZu6QwJh6Py1/J0MbtcTuSMSlKdLyjOMpZIMHb3wj0cGyLBiQELBOIhc2UTEUwxN7qECN+3MrV32zgsfwDCKwMdDegMhTCr2vx59RQJL6UBP0Y8pij2oZSL2MWbWLUgp/wakEWeooZt3QDFzSL6Nh7fH4mF64lqOs8tmI5B/1eXBYro5b+gwUHd/KnrF5MXLGVK5o0rhN/538dRoQtPF80n5eKFiKEwqTCjQxfsIIRCwo44tdo4szArwlGL17C5d99y91LFuLXw7yxaR7vbCngqmZXMXLpJ9yx+FOeX7+cu9qNZEaPxygLmbl75WaumPMddy6cz25fgErDwgO1HDo8Pj8PrdpGRrc7WbXoMQ7tXoAM+1gwdwRe7wHmb3iDrm2uo0KGGbtyUoxz0YR1L5LT4XYu7fU41YFiurX/c/T/mex0oyRibgK/cZzK7elvgGZEbFNW1vpJ4GRgyGiAPYrqSkkdqfOfQciAiQW7Y27GJhbsJlTTehY24gtY1nbTOBUClpohY3YHI2P40U7y8yTw/w+TxYKs1xLrba9jG/sPrLe9jqzXnDLdy9hatp0efxn3F77HxY2HRF/rMifj8R/GZU7B46vivc2FPNyzE26HHW9Qi8t5YQi+HPwnrm7ViQZ2C7Nyc/h06CBmDuyDSTExbkmsZey4JduxqFY8Pj+ZNnsdV4I3N+zlkTxLdPEUabkw8/WeNUDkpuvp3ueTlZJOqkXgMpnJdXfjweNsxh5cthT9BNfGUQFLj8+PKhSe6j2U2bs3Rsef2msI+bs/5q5e0zDpEuO4fv4Efn1UGkHuLYzl79gVb9fhr0/zMr5HpO84ENbjctaCStuUTG5p14MGNguzcvvy6dBzmJXbl4Z2C0Ko3L/ibS5u2gddmutwuDwQ6wLz3qZ9jOmrxnB2bH+JWQ2TrjhxKAZP9z4ftyOZ85u0j3L1RALFEd7WjccSeKr3UJyKylO9h0YTEkc5+/2218hwuBnVaxqKpuGtPpTg7hkMQwPFFHsTGa2MSCQjEgB8hsoBX5CJBXuPm2d3MKpzB77ZtReXVTK2X2x8emCAwrtbC3E7kpjQLeeEjmouS2SzISIyeexm2+Pz4w1reHw+nixcgSEhw+rg6d7n09yVjscXINVsOcE6Gab2GsKwdr2ZXFh0XNJ1NWbFyZOFq2Lm80krV/GnrP5c2KQTD674Ao+voua5Cp5Y9R0mJZn7j1sDPFm4nNAJ1raGYqNtnzH0vOg1kjLa0qn/o4ikRvTvPJo5Oz7EojqiiYjo6/yHcTnP5od1MzCkgc2WDkQSERcOfB6HLe3f/BYTSODMwKls07DVtkpJ4N+EAkkuERNok1zipNNGkV23uhPA0RxARF04Vn04ImB57HiTEAx0Z3BBc/exfr6dnpMSsFRqvKqPL1dWTmKMBE4fmCwWsEQqIzQtRFnFdiqkiLHthMgNXZo1Nfp3ZbgKt70+leEK3I5kisoPsbf6MLNyc7AZJpJcRh3OG8KgWgvx6k/LuLplFyauysfjq8btSGJmv4vi8ls3YKC7AclmUx1XgpJAmBSbxnNDLGgysruM8HFZ87Zc17ojfi2MWYFtFVsZWTgBt70+r/SeEddK7Ki4a7zrZ2pOD9KsViyKCZtqYniHXozu2A+JhpUgAxudx+KCKfgDxVzYfxrpqa1Q1ETH3P8XQob+i/jrF5L9lQYzB/bBIS0kuUJ1OKuo4NUjFWh7vQEeK9gcbeOZ0LMl6TZJhs2FiooeZ5FeFtRieLuh1MvH2/Yy+bwmmBUVhM6bm//JTW36IsxmVN2MWQlzf+f+GMgoV5UTxvdIPE63WrmhbStcFgsBTcOqqqwsXs3Y7R/yYo9HeanfBQhMmBQVpyK5tM0tXJp1EwUrn2Pn/gWRRXKCu2cstFDdNo2EgGUCtaEZBnaTOe48KxD8qW0zFKHRIFln2hALhowIpBsiwLiufXCYrFSEgpiUug5BDR0WKkMRSxe3w0Zl6Nhzboed4sDRJEIksfpY9/MoCwVq2t9slIdDJLksdeKvUKG+yU6S2RF/E0zKuPN5pi0ZQ4aiiYhjz1UAppjXdEhL54Y27TEpKs/168WbP21hQ1l59L0rQuPv66fhtGXSq8s9PLTh5Wg7xhOdRqEbIdz2+jEJCbe9PkiDAV3HYrK4cKl2/nzpbBTFgsOWhkg4GEUhhBgKTAdU4A0p5dTjnn8eGFTzpwOoL6VMrXnuO6APsFhKeVGt1whgInAVoAOzpJQv1nq+J5APXCul/PS/9dn+l3EqGf6+EOJWIYRbCJF+9OcUjv8/AcMUJu9CSyQBQSTA5l1owTCFf+aVsVAFUUX2o2josESTDRYVJudkRxWF3Q4bk3OysdQq3UxWBTdnN2P6mm0Mn7+a6Wu2cXN2M5LVX55IMCkwoUfnmHLlCT06J6w9fwPwB0r4ZvFYQoHiqEvGUbjtaaRbkiOTLPDVnu95pvtDfLX3GyZ068e9HfrRJrURdy7I597ly+g1RInhfI/BMLmogLAh+HNWj2giAsDjq0YRMj6/FbirU3tmrttex01jSr+WlAR93LFwAVfM+ZbhCxdSHjKYt38jty9+n7uXfcTdyz6hmatF5Dz+wzXJNEfMedwOB1YFpvSNvX6m9e9ISSDM9DU7uf3HNdw5fw2lQRN7KndwR8HdHKgq4umlt6Ga7BwuWU+V18Psxffi9/9mzYHOCFgU9Rfxt2XSWXTObMaIhcvicjbvIguT1i/jijnfsrvKG01EQGT3b+KK7RzwVXNL1u/Q0VGVujF69s5iJvdrEcPbG9rVp1qv5vn1+VSGq7kxqx+KkJSFK6g0wty97BPuXvYRgmNc/W73zjr8nNI3mxUHDzGpTzeGd2zP9DU7GT5/Lc+s2k5pIEyqORWP/zCjCh/nQFURLyz9IxZZTbLNhV2qzP7hDnbuj4hyJrh7ZkMPSRRz7GMJzYgEasOkKPi1cNx5VpcGTpOFdSV72e8t4/bFX3DZP9/ntsVfENDCeDXJyIUF3Dwvn8+2b2dq/1hHtQm9m/L+pt3RuPTNrr0ANZoRnXh/89FqQgcCuGvJ99y64Dte3lDI5Jz2fLZnLz0Gx8bf3AvNvLdrEV49xGF/WXTNeRRuhx0FGXc+TzZZSLU4cDtSYp7LbZiFqLUG6JCWzh3ZXZm+ZjdXflvAM6u2M7xje7LTUnE77DyV040fVz9Juc9Dz3Y38dDaF2LaMR5Z9yKqUHmi06jo3OK21+eZ7uN5YdN7/CH/Ae5Y/iieUCUOez2c9oxEIqIWhBAqMBM4H2gPXCeEaF/7GCnlPVLKLlLKLsAM4O+1nn4GuIG6uBFoDLSVUrYDPjrunE8Bc0/hR0ngOJzKLY0QkS/6IeDobCaBFqfwHL95+HSDucV7uezKxghDIBXJF3v3MtjZgJMp1HKqMLV/y2ivXkOHhan9W+KsSTYEdZ1/7tvCcwM6oAgFQxp8tWszV7VsEx2jSpdRtWE41hc/K68LzngnjQMpJXaTwn1ds6OOHHaTwm/RxeV/DYbUqPJ62LDhdaZ0H8+41Z/g8ZfhtqcxqcuVrPrpdaZm30ZacjNUoWIXZu7vMBKkQmOHmzsXRJwJPD4/T24qZOTgbJonJbO5soxJW9ZSVFbKlopyXh6QF01EHMW3e7YwpV8rxi3ZTobdzM3t3TROjtx4WRSFhZ5iSgIhRndtGq3qSbbAyIWr69gtTuvfjy/3rq15rALdONar9M3er5naZ3C0/N3tcNS4d+xmYKPGvJzXBV1GnDQEgnsXr49zvXTG4z+Mw5xKic8TFZGtn9GRztl/xkcYLVBCsjUNJbHw+NWRZk1iWs+buHfF21H+PtPzz2zc9jET296I3ZZBiq0eYGdc/rI6nG3sdKILg2d/WsYCzwEAbCZz3DYJu2on0+7i8135XNdiEFP6tYy2ajR0WLgxuyEhXeP53FYoQlAWCNDAbmJcwXKKykrZWlHOywPz0GUQiY6URnQ377u9a5japy8PLlvKq5s24DSbmJXXBU1KVCEIaAE61Ut9KYxgAAAgAElEQVTHppq5M39NHS2gWXmdI3/X4qomI9vkuhG51mujyuvBEFDuPYgmNUzCRLI9E/X4LfcETjtoQVATbRoJ/AtYFJ2WriSm9k+OWUeO79WEl9Zt4LIWjRl4VmvuWPRtzEbBAb+fZ1dtjM6zf9m6kwuaNWF017NwWcxohoFEZ0TnltSzWfh8xxZGdGrLnR2ysJmslAVD3NAmm9m7tzOsXXueX18QHX+BZw8Awzv1wK5KfnelGSEVAkaQ13bM5cu9axnSuB317clMzenOgzX2ym6HnUl9uhKWAR7q3o1JK1dF5/OHunfDpEre2vxPJnQ9n4mrv8Xjq8DtSGFU9jlMX7+CR3r04onC5dzQpj2TC7ccl2TezPSBnTErYA8Vs9kzHwCrJTVuO4aiWpi9/lke73A79Z1NMCtmni56lQWHl0WPuXflRN7KeRqnYWB3ZKKcoTHV0GSOViWnSQO3UPCYksW9iknk/wdD9gK2SSl3AAghPgIuBX46wfHXAY8e/UNK+YMQIi/OcXcCf5A1HqpSytpf3F3AZ0DP/+B9J/AzOJUMvxdoJaUsPoVj/s/BrCjkuOuxsdqH3aTi13Ry3PUwn6T7hFfXqG83MeucNmiGxKQIrKrEq2skE3HK6O9uxpjFx5SAH+7ZGaWWsOSp0IwIG5Jpa1dxQ1ZbbCiEDI1pa4t4omefk/o8CZx+UISJZKebwyXrSd/6MW/2HY2OCUNKVEVQv8NdSCQKAl2G2eOv4KGV3+DxVfD5eaNjyig3lJVz57IlfDwkj1Erfow+7vH5MJBc36oDFzdrg4KCRQVdRlw4Zp3TlrABe6sCPL5sJyWBMFP7t2SgO5OFnmIezI8oUrsdNqYP7BS3dFMVKh3SzuJPrXNItzqwqGb+nvcuSAUDHZcKswYOQpcGqlCwKgoDG53NG5uW8dWeTdGx/v67m05wvcCbfZ8lw5rOkJY3oComrhj6AUEheWnF/ZT4PGQ43Izu/TyNXK0SCYlfGYpQONuazGs5d6MjMAmBWZGkZt0ISAwkNsVKtSbjcvbl3F6AjCYiACpDwbgtbhKdJFMyV7cYiFUxUd8umHVOWzQjUkVWHgzy2LI9MQt/DUlRWcSfPlK2LDEkWBUVXShc37IXFzftiioU7Kq5hquRBIQqDF6vxdNXBlxCfVvGCXn6Ws5T+LUAZsVUI1Zporr6ILqQXJD3IoXrX4+qvDdvlEtpuIwZy++NcnhUz2dplNI6kZA4zaGFJBbHcckIESlzTyQjEjiK8pCGQDC6WwNcZmvEoUJoXJvVkkybFQF1NgrsqqnOPLu32sv0tTvx+AJkp7u4oW0T0qwqZkXQ192A9zav44Im7Zm4cEs09k3u15l0q2CBZ2/MWAs8e7ilXSdAciBYSabNzqOr/05R+QGub9kHpymV0kCAgB7k0V7ZpFmdHPKV89aWedyVPYiPdyxldOcupJgdVIR9fLxjKde07MKQs7vTwObilX5/REEg0NGkygLPXkoCAcZ3685ZjhQ8vs0x78fjC1AW8nKWzYJqtpPqcFPu8xAMlcdtx3CZkrmu/SgCoQq+W/YQQ3tPjCYiomP6DxMywmwoeJZOXW4jLa11NCEhpUEgUIauh1BVC7bTtI3D0GRO4JDx5e4PgpnhMok5TTRrer31S1sD5ZL/ICHRCKhNiH1A73gHCiGaAs2Beb9g3JbANUKIy4EjwCgp5VYhRCPgciJtH4lkxH8Rp3LFsA3w/exRCfxLKAh8YcG0wjIOejUaOk081DuTTNvJaSxYFJWDvhDj84/5KE/OyaaBPVKbKYXCkytiXS6eXLGWWXk50TFO1Bd/MpoRqiIoCQR4YNnSWmM4UJWEZsSZDrstgwv6P8vyotdp0e529vqCTFxRWCu51YG/7JjNNS36owoTj6/6NrqLG9EsqaslcnzFjNvhwKIoDG6cxZhFRaTbLAzv2IKPt+zj6tbNmVJQEr1OxvVqwivr9/Dg4u3MGJTF1orqGO5XhgJxzymQDG+fx5OrZ5NhcTIy+zyeWDUPj6+qRsBvMIo8wn2F33NPh/N4vuh77unwOwqL98e81xP16ZsEDFs6Fre9Ps92f4j9h4tQLWbe2TAtUilBxDJxesE9PDzwPVJsv4qfeAI10AyDPQHJuPxjidnJOd2Yu281OQ2b8fGO+dydfRm6ocblT2UoiFlVcDsc0d7iHeVl3JzdLMbHfkrfbDKsgsOBasoCPhraG1AWEEwqOBQT6zNskT7tg74Qk5fvYeag1rXO50ARAlWopJmdhHQY0rgT9+TPjvL1qV5DEQLuL/iO2jadbkcyFSE/bvuJeXpb/gNRnt7f91X0sJ83Fo2k3Och1eHm8l6PU7B6Bv5AMb27j2Hq0jtiOPziirFM6Pcmqc6G/+2vLYH/AHoQVFfdOVhREm0aCUQQ0s2My89nXPdOTF9bRLrVyh0d2jFpxdZoTJvatwO57ibRigUAv67ViZPri0uY0jebtzbs4qrWjZlcuCk6xsO9sriwaRueXBYrlDl+yU6ez22O25EUk/DIdTcBaWLM4mNrjfE9hrL00E8MbdSX0fOOxdNxvVN4qWgRFzRtxYKDWwDJLW0HcP/yz6LVD1N6XIYmdR5e+VX0sUe6XoBLNVC0EG5HEkVlRxi5ZA5P9z4vbuxMs9iBIHbFxtXdH+eTlY+yYuPbTOpyT7RVw22vz6TOd/Pd8kfZXxpJ6KY63ChSj5u0KK/eTbPWF7Pgx7EMGfomzqSGSGlQXraNH+fdg9frwel0M+ic50lNa3XaJSS0KjntaCICIFwm2f1BMLPlbbZpljTR91d4C9cCn0opf0l61QoEpJQ9hBC/B94CBgAvAA9IKQ2R0Ln7r+JUJiO8wBohxI9A1MtOSjnqFJ7jN4+wIcjf7+etPo2wIggi+WBfOe4s10mNEzKIJiIgkr0dnx9psQDQT6AErNdyubCoBm/mdSUlqCF0iVQFFVYTqCexdSIlk3rn8FBBfrQsblLvHEi0aZzxMJkspKW0pGePR9haVcWzq7Ycl9wqYlSXfjy55mNe7HNHjDjU8sNbmJLTnXG1yign53THaVL5+HdDcZnMOAJmFF1gBCTP/bQRjy/A6C6tmLhiE6M7t4kmIgAOejWmLC9mVDc3Dy7Zhhl4u3d7bFIQEJIP9u6gf6NGjO/RicmF66LnfL5fb5KEDdVk5sH2l2CxyGgiIvI5qnhw+Vxm9b8Ej6+CFIsdj6+C97YsZULXc5i4ej4eXxWTuw8mMwSf9O6Irip8eOAQX+46yNS+2Uh8dEhpQ1HFZsaunMTrfabg9R2I3sQdRYnPg5bwE//VURIIRHkItdt3unP3sr9wT8dcSoNVfLmriMk5fRlfY+cWWQR35JPtRQxv35WX+udiUdUakWDBnfNjWyHGLd3AzNzO3L/877zW72Z2VASYVlgZw+H8/X5e7J6F0CCIwayd+6gOR553Oxw81acfFkUhSdgwm20Uhyt5c2MhD2SfR6rZSXnYy5ubChnZoQ8TuuZF+el2JPN2/ytICUqET+fTnI58fqSMZ9dtq7mpyGa/d1vkvfoPM3blJN7IeYqP5t9OeQ1Py30ePl/+KDfmvY4ZFT/h+ByWCZeN0x1aHM0IiHSQ/aKlewK/eWg1zjuKEEzo0ZmgbtRpUXhwaREzc/vwx9bZNLA7UYUABFNzevBgfiHpNivD2rWmmSuZJfsPMrl9K6Sm837PDszYtQ8DgdvswixUXuqfwtz9R2iZkozLYqIypKEZBhO69WHiqmVR8er7OvWmpKSKlzp2okQL83XxYcK64Orm/Rk5zxO7Jiio4K7unXBZIuvNBQe3ck/Hc5nZ91pKg9UE9BAui50RSz+MddFY/Q2PdjufxkmNeLpPfe5f9iMeXzWz92xhck53xuf/FE2mTMppy9z933J+o8EcFipCs/Gnzo9hqAqKP8wb2WMwkuthFioy7MUbiBSPpzrcXNbzUXZs+5xpPSZwb+HEaNJiYqdR5K+dzgUdR+H1ejBqYmogUBZNRAB4vR5+nHcP51/4Hnb76bWJIQ3cRxMRRxEuk0gD938w7H4i2g5HcXbNY/FwLTDiF467j2PaEp8Db9f83gP4qCYRkQlcIITQpJRfnMybTuDncSqTEV/U/CTwH8Aq4JaMNHzPBvGWSJQMwS0j0vCKk1sh6FKSbrMwukuraJnw+5v2oNfEBkUIBrobcEGzxrgsFipDIb7ZtTfG5cKKiq3US/jNBchSLyLdScqwXAL1fqliBNhUlQyrjZcHnINBRDFVERKbenplcRP419C0MJq/GGnoCEXFZM/EZDJjMlnQggHsqiVucivF4sTjL6sRgkyJTvgT137Li32uYVZuv2iJukOFA34/644c4VJbC3wvhTBqroGxt7WmOBCxA/P4AqRYzNFFx1Ec9Gq4LGZyz0oho9yH9sZ8ZKkXW7qT22/Jo9LuAEUyY2BvpITSQJCwz8Rb80KUV0tSkzK4drCZDIsjZkfZ46vCkIJPz70Tk6IwqfulZKc1RwKv9r+KJFVgLfahT/8uep1cf0segwfUJyR1PtmZz4i2tzFz02sUVWxGRxIIVZDhcMfczEXK4hN+4v9tSGkQ9pdh6CEU1YJmWONy1yRUPL4KXGYnpaEqVpTs4ixHKjMH9sWQApMCqtAZ06kXLtVEWThMSTDE+PyVvNC/T9xWCIPIYleTErvJFMPhi5slMywjDf/UYJT394xogt+q8dX5F7K1spKn16ykJBDgqT79aGoCRSrc3DSX2T+KGg6ncts5g3CqcJbDxiv9r0QVEqeiYjsSG8svH5bLgCG92e6txqJAijUjmjTz+A+jST2aiDiKcp8HpIEz+SzC3oPxOSwSLRqnG3zlBrsLwrQaaMFkAz0EapxkRKQy4td/fwmcfjDVOO8oQjBz/UYm9OhaJ6alWy0IFDKsLnQDysJ+xhcsJcNq47GeXbCZzDyYX8jzfXvxe1sq4Rcjc6Qp3cn9N+dR4XLx1uwQ5dUhUpME1w5uwOxdYf62UaeBU+WRXBsHvLuY2X8wJUE/um6QWhbA9dZSZKmXjHQn992Syy6biaBuxF0TtEhuiEaASxp35pxG7ZBSQRUCp0lBQ0cRIq6LRqY1hVsWv0+Gxcn9XXJp7EynNFTMJ7vfZlS3PNItZ5NstvP+9ne56OyrGLlodTRJPbV7W1JDxfhNFtSgl3rJdsyOVAxpcMu57xLWgyhCIRysoElmZ+y6xtTs21BVB8FQOSvWTscbKCYUrMDpdKMIE4Y08Bshug98gnCwgi3r3qWkeD1erwddP/02MYSCx5wmmtVOSJjTBELB8y9e9nNYAbQWQjQnkoS4FvhDnXML0RZII+KA8UvwBZFWjJ1ALrAFQErZvNaY7wBfJxIR/x2csjtCKeW78X5O1fj/K0gKmvDNjCxGAYwSiW9mkKTgyS3wLIrC8I4tYpwwhndsgaWmPcKqKNzUrk1UUX36mp3c1K4N1lraFDafFl28AsiaxITN98tXK4aEsqDOiAVrufLbAkYsWEtZUMdIFEacMdC0MP6ybaz+8laWfXgpq7+8FX/ZNjQt4vCiCPDrobjq1RUhL257Gof95TzS9YKoWnVuwyzSrQ25c94WrvqmiDvnbcHj13lz4wYuymweTURA5BpQXzO4q0VLKkNh3A4bFaEwDZ2x10RDpwm/pvNwtjuaiIAIb/U35nO4uJLD/jAmIbhr8Xy8AYN/zDMor46cp7xa8tHcMMPbDDjucySzu7qcq77/K59t30CTpMaMrOHznfPXYPYb6HHOl6kLxixZwcVN+vHkmk+5sdV1uO31URHkb3yXW7o8SoYjsklwVDMi2ZrwE/9vQkoDb+k2Vn7+Z/L/chErP/9z1O6yNtwOe83jKVSGvXy9ZznT+1xNl4y2jPhxa5Szu6qCPLduOZW6hiZhfE2FhYGMOlkcG9OGArgdKZiEwK9pMRy+o2U6/uNiv39mEJNPpSSg8+PevRSVluLx+Xhg2RLKgxpmaY0mIiDC4X/Mk+wqC3PFtwUMn7+WvdWBE8byTM1gzJLljFmyApNwcGOr6yLv1V4fk1BJdcRuYqXWSjYk2zMZ1fPZGA6P6vksyfbMU/RtJXCqsHVeiD2FGvvXaRhapDDxeAFLAKEKDD0xOScANhWm5HQnoGmUBoLsrqqKiWnZaS6Gd2rF8B+3cPU3G7hr/lb8mkKG1UZRWSlloSAP5kdaKc42FMJvxc6R4bfm4wiFjpt/g1zcKpIlO+SVPLEgTO967RmxeC63LvgW1RfCeGPBcXPtAvzlXg74vHHXBDsqvdy76CeubN6fL3Zu4vf//At3Lv4HYcPKooNLCRnBOi4abkcK+7xleHwVFJUf4O5lHzIy/wNSLEl8uX8u0356gbAs4/F1kzjvrN8xccWmmMq6B1duYps5hd8XfM4dmwvYpQUxpEQRCkn2TJzCSuWqjxGGwcrl0yjMn0KKYmdOwUN8sWQM3kAxl/d4lF1bvyJ30DSs9gz2V25j8pJbeGzprbyycRqte4wgI7MjTqcbVT39NjFMyeLeptdbi81pkThjThM0vd5abEoW9/67Y0opNWAkMAfYCHwipdwghHhCCHFJrUOvBT6Sx/X9CiEWAX8DzhVC7BNCDKl5aipwhRBiPTAFuOXffY8J/Hs4ZVsYQoidHHPRiEJKmXDTOAkInehi9CiMEslJFkagS2oCZG3V303MyusKQMiQ/7KNI/JeZDToH4Us9SJOIpPwc+0iCZz+0PzFFM29j0BVJKEdqPJQNPc+ul7yOqZkN0hJqsXEhJ4dmbhi/bHdgZzupFnNzMq5G1UIrKrCa/1ujggE6mZ0TTKrf1ve2rqfr3aW8ODi7Yzu1hJVV+JeA/XNVl7ctJ0JPdvy8ZZ9jOsdqxkxpX8D0myCQLkPRxzeuhSFkfkbeDmvCx6fj1SLLboQOoryakljZzpuRzIZFgfD2vXmbGcqh3xVdEhtwMXNOjJmUVEMnxXdQItzPlU3SLdasak2Hu8yjEy7kxk9n2DX3vnsL13P6s0fcl/OTAJhL8m2DFLt9RPilf9lhP1lrP9uTAyXFaExOadbTPvFlJzumITg9X43IlHIym6BXVVx6Apv9k8hhMFbW/czefk+RndrQ9gwEEI5piC/eRuTc7LraPYoIszTvX7PzqoDuJ0NeKh3JpMKijno1bAi8MXhvckQjC/YwHMDOvDVnl1ARMhSkxKzIeJy2KGaao4LMHHFFj7r1eGEsTw7LZUb2rbCpFhpmZRFbv0cbsu6lnRLCtf0m8bHS+6NakZc2/dZHDXJBlUx0SilNRP6vZlw0zjNUXko4hBUulvH3SHy/cRr01ASApYJ1MCv66wt3s/As5rz4oDelAaCPNKrLR9u3scFzdw0czk5UB0kwx7RuMmwmVFCJp7qmovHX01mio2He3alMhRCOcFa0owBtUTTy6tljCbZIa8kbBwTycw0WeOOk2E2M/2njTzUuwuTautI9c5g1vqIxfLbP+1meKcBXNeqB5WhAG9tKmRMpyup1ip4ptcV3FdLR+Kpnr/n6XVzYs7j8VVgFma+yH0Fk1BRgMldxmIYdjy+nccd68euWqOvu7fgU94e+GcybEmR96wFObz6fdKDFQwe+gY+7yFstgwu7zoOizUFi9kJ4QCt21yB01Efb7iS6QX3xOjzvLr2cYZ3GUeavT422+m3iaGYRL6tgXJJy9tsp9JNAynlN8A3xz32yHF/P3aC1w44wePlwIU/c94bT+Z9JnByOJWrhh61frcBVwHpp3D8/wlINVKeW/tmTMkQSPXkdis0aZxAMT2yKNFP4JSh10okSlUg0p0xwV+kO5EnIT6pSUm61cLozm1IsZipCIV5f9POk3LkSOD/F9LQozdvRxGo8iCPrlqFwQ/7N3Lj2f34a588DEVSZQ6hGTq3LfgRj8/HQPdZDGvXie93H+YqdzPmzQ5SXSlJcgluuTDSAvjVzhLSrHZ0xYh7DWQ4rTzfL5ugAfd0bYlA8NI5bjRDstdbzVOrCxnVORsRDJIVh7clmka61QJS5fXcoaSYLKQm6TE3c6lJArMqeK7PUMKGmXEx+gADUIVS57rRFCXudWKoCsM7tmfE/LW1BL/a0+bsPNzpWfhDFXxV8Cj7Stdz94WzE4mIXwGGHopy2VW/I8063Y3d78AwArya25eQlCgCglqIZ9eu5uqW7ZhcuIUe9dK4tVlrFnx9PG/34rLY0KVEIJnYsws90xsi9YgzweuDuhIwDExCYFfBhCBVtZJhTQYpcJpVXjrHjS5BCYu4vA8rBqM7t8EsrDzVJ5f3N6+nJBiI2MkqktQkUYfD5eFjZbseX+BfxvI7OrSL9oJHODqapg4LFRU7WVX0Ghd1vhebLR2nLYNkewMU9diyQVVMCbHK0xyGLvHVlEpXHzHQgpHfVXOcyohEm0YCNRAIOmS42VlZjctiIdNuw66qPNixHeV+jcPlYf6xu5h7ujYGKain25g/O8jqyhBJLiu9hijM3LiT0mCIATmd48YfDYXae5ipSSJmbdjAKdClFhWxLNaCZMSb28NhNpSVM7NoDS8M6oFAYVtFNbPWb2ZDWSXZ6S6uat04upHgdtgY37MnILluwfO83m8kU3teSqo5A0MqmBTIsCbF/D/cjhQwgsz//DIAnE435547g6A5Oa6wcUX4mJ6/x1eBLiUlgWpCho7J5MDVIo9A6Q6QBlLqSENj4fd1JfYuv2I2YYW4+jzJKc1IsbtPO/HKo1BMIv9XEqtM4AzHqWzTKKn1s19K+QI/k2lKoC40qyRpuBUlI7JQUDIEScOtaNaTu3k3CSVumbCpJmipNU4Zxz+v1spK++0mzMNyEekRjQiR7sQ8LBe//ZfnsKyKwoiObZmxqoqRPxxmxqoqRnRsG9MOksDpDaGo2JJjy7VtyW6EogKQZrYzLGMg+1/T2fp0gD2vhhDFKtVhgwxrhGMXNm3BuKUbuLJpExbMDlFdWbM4rpTMnx3i5taNaOiwkGGz8nXxThwjLTHXgPkWKwsXBwlWmtlRUYZEcueCpWyuKGXU4sWMWZLPhrJyyoJBFlVUIY7jre9P/fj6SBkjOrZl5DwPd/7zCDPWlXLNYAupSZHzpCYJLhwkmbJ+LlbVHk1EQGSnY3JhUdRhpja+OlKCektezPnUW/IoViUTV2w+TvDrJ0IimXfm38rHS8eyr3R9pPT9NCyz/C1CUS3Ykt246nekdZdpHP4si23PhCh7S0UWKzy2bCMj5q+lNKhzVcus6E36sNYtmF+TiIBjvB3W+mwqQwG+2rWZNIuZTvaGzPlbiL+/E2DO34JUlwkeXbaRO+ev4YAvTJkWxBPysaWilC2VFdw+fwmXfzeXbZWlBGwhHCNiY79jhJVSk86MVVVc8/VeZqwMMCK7N8/3HUCqyYRq0rhuSCyHLz5H5c3N26Of2e2wcUiVcWO5RyWOKN0GKsIa3ywey879C/hu0Vi++OfNfDnvDgLB0l/z60rgFCDklSDB7AB/uSRQw2FTnJAjFBJtGgkAoAqVgAbPrNrO82u2UxnSCVea+P6zEPM/0tn1vcrwlk1QUQkHFObPjo2Py+fo3J7VEo8vQJVVwTws77j4k0fQGhu7rh1s5attkfbPBk7BY3kWCg5vYWrvPNyOJF7cWUTgz33rzO0v7ojEu9JgEAONA75Kpq+NJCIAbmjbJOrgAZE4N3nFNgwZWct+tWcFikznrnmHuebrfYz44SC3Zl1IbsMsIJKIeLrX7/Fs/gSIJCL69X2U3QUv4VJ0nu7bM9rq53bYmdCzA+9tWRT9X+Y2bE1Z0MtNC9/lkrkzGbbkr8h+99Ig7wHmzrmNuXNupap6P05n7DrraAuGWbFE2+GOIsPhxnSwAuGN1TtKIIEzEaeyTaNbrT8VIpUSiXrNk4QSUti3MEjm9RZMdoHml+xbGMJ9sRV+uW4kZoW4ZcLmaA7AYHyPrJgdsfE9sgAjOkaFbjA/FOD8UYMRhkQqgm/LKuiq20mKd9I4MKQSta6DiKDQpIJiXj73PxHUTeDXhMmeSYfBz1A09z4atLmMzLbnR0QABQhvKYSd7Hk/RG0Lp9KPdPTrBDe0ac8Dyxbjsljx+AKYUaILlqOorpRYhMLkfi0wCYOBjc4moGg4H7QRqJT4ApLFK0McOWRQWhxkyFX1qTD8eHz+GkHLY5Px+5u28Uivrjy6djsjbsujocVMUAh2aTpDkxoxaVlxlIuL9vuAI9x/SX38WhiE5OHV31BUfojrW/eIK2oY1MNM6ZsdY9nYsV4KW3QfrUcPRegGUlXw2RSkHr86SZcKt1zwA6oAPXgYi2rBkdCK+FVgtqfRcehzyKCTfe/b63B2+DUtGb5iNRNXbOG5AR2j39+JeGsVCqlWM5c3bw9hE/O/DtVdkJ/XklEFqxmfv4HnB3TggK8cu2oGTFGOuSxmvIbgg5Iy/jg2FUeNk9IeNcyDC4+Pn6U80c9FuRZCCvCqfvoOlKSarYSkhmYJUxqMVEa4HTYm9MwiiEagngNbrVjut5vgBBzVpOCcQW8ghQUhQxzYNZvU9Bb4ZRg9UEKyNS1RyXOGIFhTNZPSUKV4h07Z3khFmymOXbiiJNo0EohAk0ST6aO7tCLggwVzY+NbwXcaWYMFTlWlujIc8/rqSkmqOZLxUkIqh9Y5qH/HUIQwkFLh0EqFULcg119kwSRUwobOt/v30qlROhdkOTCr8MmOAi5t3p6XipZyT6fuuMxWdkidtFv74LY4CSuCpzdtoqisArfDzqQ+3Xl/0zZ2VlYzvsexiq80qyVunKsKRx4b2KA7Dy0+EhNnxy8+zMxzL+buDl5UoUCohNQmubTJuhSBYGf+dJp0vgFFQMuUZN44px8h3UAgkWjc0nYgb2xaSEnIy+jsQYzI/zjGsWPsis95oXNu1Blj/drX6dvvcZYueTTGttNmS8MKjO71HNOXj6HE54no82RPxv7pKvhTYxJI4EzHqVe/ZgYAACAASURBVEwWTONYvZUG7CLSqpHAycCAqp8Mqn4KxjzsvujkhgnoBp9t289zAzqhCIEhJX/ZtIeb2jetOUKy7OBBnhvQMfr81zt307hV0+gYqoA3N+1h4nGeyrMa/vIbJ00SV+E4YWV+5sBkMmNLa06Ly99EkzpVRpiNRe+w//Byzu//LC7RkngWTimqiZAl0jdZGQoy0J2BokKSS8Tc2CW5BIoiSFJNvLFhMyuLi5mS052Gipm/fxG7gKiulEgDdGEw0F2fNKuFV/P6UhYMsfjAQfqf1RAFwZFAmEOqhbuXHusffWGQuw4XF+33cXW7Cu5Y/CGvDLiMovJDAJSFfHFLL4WAVItkVl4XNClRgIAewBMKst8aYF3FClzWNFyGizRzvbie5GFD54mVP1AS8jG112AyTsYqN4F/G4Y0KAtWELSnkCbSCZfFKpCHyyQZNYtnjy+AKgQD3Rlc0NyNegLeokCqJZl3N25hZJsOcRMWqbXGFELBbjJRGQpiVmCguz4XNGtCmtWClIK/bq7gr5uPKbu/dO5ZceNn0JCRcmYpKQ8FeGb9xihXs9NSua9bFk2Tk4h01OloMsz3BxfSJbMzxcFyKoOVLNy9lBta3hCXowIYmf/PqC3oU70vZvXeD5lTODYqttrI1SqRkDgDcDQZkdxQiSQj9tQkI6x1jxWqSLRpJACAUauVt0mSnXRpZ3Vl3fnYqZooC2lx4+PRdjHVEBQv0ileBBGNCAnoZHZTuWzuYrLTXTzaqy1d6ruoDPmYUbSZu7u0p1PmWYQMnZKAv+Z1KpWan5e2FDKyY29mrP+BST2v5K7O2eyuqmbamiI2lJYD8LdtO3hhYEeQIGsEhY+Pcw6ThWd63EamNY2D3vKYz3bQqxE2dO5cPiZquflst3HsX/cubTreiLvNxWzPf4H2501GhgMkm+zs1jTGLvvmWNzsdT6m0EGCofK4jh0WR30yMztSXLye4uL1rF41g8FD34j8z1QLNlsaQigI4CzT2TzU4mn0JAuqxYotqMP53ZBmlV/eOJ1AAqcnTuVK4nzgTeAHYAnHbFcSOAkIVXJUffYoInY4J9mmoQhWHinnujnLuea7Aq6bs5yVR8ox1eg9JKsmftekEWMWF3DNnB8Zs7iA3zVpRHJMP7BkQs/W0bL0yC5ba9STeC+qEHEVjmu3gyRweiOsBdlevZdh+Q9wyY+3cPvyRzm73XU0qt+LbxePBSU+Z6t0jUCN48a64sPcnN2MlaUl5F1kjdzIEVmw9Bpi5v58D3f/eIgrW2bRPTOTcfkrETU3gLWR5BIIBQ55q7i5fRZjFi/n9vlL+WbXHq5o1YzpazewvbKSYe1bRMUtIbKw2FcV34GjMuTD7UimMnQsAbiueB9TcrrHlF5OzunG+1sXc9uSD9AJMmLJp1z2z7e5dt6H3JP/NXfnf03Per0Zu/Ixbssfw/vb32dy3/Yx18/4HlnMLFrLndn9yLA4eHD5XAJSpSpYdgq/sQSOhyENtlXt5s9L7uHieTexzbcrLmdLwscqCvzhEDe1b8b0NdtYdOTwCXl77/zDXNkyC0WJz9fyWmNKaeDXNN7bvJIWycnc3D6L6Ws3MLFwLbo06vAzoNV9rKHTREALRoRgFRWXxczkWlwtDQZJs1lQhMbtS95mU8UBRiz9kB71erKjegePrpnKO9s+5PyzhzBz4z94uFer42J8FuUhPxkWBxCxtn2gYA45Ta8BIr3K0wvuSXD2DEE0GVE/EjvL9kSqH03WE2hGJNo0EgDMSqQl8aKmDREohJFx45tX13ljUyk9BpuPi48qr27ZHkluqiJuvLVbI62epYEQ+6q9DF+wlOlrN3BN62ZMWD6f59etREVlVMc8pq/ZzvAFK5i+ZjsjOgzErKiUhLyEZYDnNnyMWdUpDUTmcLfDzjVZTTniL2dU/t95YuUcxvesG+ceX1HA9LXbcFnscePsHu8ePP7DAHj8hxm7agqpLX6Ht2wHRXPGEvKXECjdSdE7F3GoeHs0EQE1cXP5HIJhH+FgeVzHDl/lHrI7/jn6mN9fjKILnI6G2O0ZMVoQisOBy9UQa9jPpm+Hs+wfV7J6xQN4A/uR0iCBBM5knMrKiC+AcmAVEPiZYxM4AXxWnSbXW9nzQZBwWeQmr8n1VnxWHSvqLx5HABN6tomW2UWCb5toBrVKNxhXY0MHkRL0cfkrmZWbE+0GCeoa3+xdx3MDeqAIBUMafLC1kJvbdD+JT2Qwrlc9piw/ckzhuFc9BIngeaagNFTO2JWTYifllZN5tedjbNr5D3RLFU2vT2H3B+EoZ8++3kLYZeEs4eCroRdioHDn/DU8178z09bt5IrzGtAi2c4+b5jJRYfYUBpZRDy05DDP5mbx9Z69YA4z6CIrP9YSDRx0kRVNDdPMlc5za4qi/L2gWZOoreL7m7bxSM+eHPTG9re/XVTGlP4NGLf4UJSLj/fNJM0GL/e7EiHgr4Ou41CgmubJKTy/bgmju7THZbZTGfbz1qZ8Lmjami/3rkXKyGKjQ1oD/pTVDZfFSmUoiIKK214fj/8w556VyxtbPmPagN9TFTIoCwZ4ZcNqispK2VpRzt2de3B/wWzAjGacfj7hvyWUBSsYs+LxKIen7ZzFU9c+SulH5hjOFlsFL/XtTmaSis0U4azHF6BDZurP8vblcxuSd5El2qpxdEH+5Mbt0TY5k2LQMjmdR7oPwZAqpQE/6VYrN7RpxUvr1zOpX0ceWnKMny6LwoQ+9Zm47HD0sUdy0nFZwqRbLFRoIRrYnQR0mDEwB1UIKkM+3ti0lHs69cfjqyDFYsfjq0BKeGfb33is8xgCus6Taz7F4y/j2uaDuK9bc2wmM5WhIC8XraYkGKjFzwjXhTgmMlDi8yQ4e4Yg6I0kF8x2gc0l8JdLFBOoJ3DT0BKrtwQ4uoZsS4bNyoFqjS+3VXDb4EwK54aj8e2ci6z4rGFKgjpTNxxi+OAMmiZZEYpByKQxqktTyoI+qs06qdeYKf/42Boh9RozfrOB22FjSt9sksyCz4YOYld1BTM3LKeo7Agd0uqhCJW/bt7G6M7ZuCwWKkMhPt6ym1Gd2/J0ryv4YtdSSoJVQJDpA3piyEgiJaCHqNZUPL4qPL4qZm1YwOguvWiWnM4BbzUvF0XmYoAZ61cxqX93Hlp8LM5OGVCfSUUPxfxPMixpOFM7EdZ12vzxBywiTNmyWTgbdkBJbYrHtyzmeI+vCoutHhlmlWd7XcHYWo4dkzqfx7bCyfTocQ8Q0YfI6z0Z9bOlcOVgcB1rhpbSIBAsQ7P78QcqMdszCFR5/o+9Mw+PokrX+O9U9d7Zw5IG2XcS9hD2VUUR991R1JFRZBFEURAQVxAVRQYRnVFn1Bl13EdFBZElEAj7lrDvIJ0A2Tu9VtW5f3TS0BBHuKNXuPb7PEqqq+p0Vffbp855z/e9X7iy2YKH6HLdO1gcqb8qH2KI4dfELylGXCSlvPwXbO93iaABIadB82EWFENiKIISk8G5zt1DhsFrW7cxtmPzSAf+2tZtPN0tXNpTl5IUq5WxHTJIMFspDwV4b8fuqGoaVtXEVY1a8+CqLyJhZ091uQSLeva0EQg+2VXGmE6pJFhVygM6n+wqY1yXWMd5oUCTemQSVw237xhSUYl3utD1AIGKpTS+fwDoAgPBF2sCbD9okBQnuGWQBZ/JGy6DKQTZR0vJPlrKawPaMHp5QVS7tawqLt3E0r6XIrwCa0KIy26yIo3wqt3aohNMWbYtEmVQ5A+QX1Ia5R2RX1JKaSBAmtMUFeJe5NdJtAoe7hqHXTUjMXCaJaOXbY3yTfli3yGGtWlLkd8bmYxV47YW7XA5EhEC+qU15uZmHXh24+LI7+OFboN5u8eLFPmP4TCnsKwwj9ubXcqIZdHVrNxeLwlmGy5HPIqQmJSYgeWviaARiuLw1rIdTDj0FH++92mMYBCzJZEv1gSrOGvixktVpKpHwnp/ircZKVZGNU8m1aSQGFAIxOsMusmKqOKrNId4qnubqigGAwEc8+tRniOTMtsQZ1bJdhdyc/NmjM+shc2kUB7Qmb2hiBSbykv961LiD+LTQyRYoI7VjCIEqlAp9GlR7T3XM53WSbXRpYHLkUhZ0BdZlXu83Sh8wTLqOOrj9oUjG1TFxOjl2Wd8Zgnmk0atLkc8ZkWld8NrWHHo32HztBhnLwhofolqBkU9KUbY4gWihuhEEfOMiKEKAUOy4EAhDzVvRprJRFx9leXFFVx1XSI+H3j8kgUbgvTPtPD6xS5O+IMU+jy8n3+AYW1bkqiacDnsuBx2dANmHzrBLTcnkmI2UxzSmH3oBGNrpValPGoYUmJWJG9t3wjAq70uJ80Rh0VRuKl50zP8zVShsOBwHhfX70yful15et163F4vLoeDGd17svnEYXrXa8Zf+95AScDHcvc+EBqKMBi3Mrq/y3YfZVyH9jzaLYRZsVHXlohZqaAoeHJBIyOxFePaPMaIpVtPWeBrRkrXe3Gp4BcKLkd8JDICwv2mw+xk1aYX6NFxDH/peTOaYeCvdLNr3XT8vhM4HHW45ppPUaUZdeEWZL+2+GUpoqICVbWh2uIpK93HksXjIl4SvXo+weHcuVQcy8Nf4cbQfz/CsBDicmA2oAJvSilnnLZ/FjCgatMB1JFSJp2yPwHYBnwhpRxd9ZoFeBXoT3i2NVlK+akQ4n5gFKADHuA+KeW2X/H2frf4JdM0Vgoh2v2C7f0uYUPBcdxAm1FAYMJRtBkFOI4bWM/xqzIpguJAgImr1jFy2UomrlpHcSAQSdOwKAoj27Vj9oZCRi3Zw+wNhYxs1w7LKVUuDGnwxPpFUWFnT6xfhHEOIWFm1eDu9GT+vLGI0T8c5c8bi7g7PRmzGouMuFBgEuHV/lPhstdBSIPBvWcS+DGfkrqduW3ld2ysLGbet362Hwx/v6Ueyb8WhnAKKy6HDUNK0hzhSUx5MDptIiPFyvPNUpHTCzEmFGBMP4ZSKHhu034Gf7eRu5fmUz8hjisbpYXdsNftYmjr5pG2qsPU05OTMCkwuVutSPtpThPTe9floz17eChnFSOysykP+XloxdZoh+11uxjSqCkTc1cyrE1W9D074vFpIaZ0GkR2QTZj2/WOCBHh8yt4dPW3+DSdF7KHUlCxF5c9mbJgJS6H47S2HPj0IDOyBmHGj90U/4t8VzHUDItiPoPDJ4LFHNV2ErA7mPdtIIqzn3yvI3U1EtZbE28zUqw81zSVFvNKSH7yGHJ6IfKoziO5u7g7O5/dvkqKAwaJJoXH1v2LyxfMpjx0UoiAk5yzmcID93l52zCrBs/mHmPSikKK/Dp3ZyTzj507GZGdzUM5q3goZw0VusDvLyaoK2e099jKfAY3SKcs6OXxTkOYf2gLUzoNZlb+FxRVFvByzr24K/bgsoe9f0KGViM/qy2gXI54ZmQNYtm+vzOwyU1c1mwoY7vNIj5munpBQAuAUhUF4UgOP99rStGAsGAREyNiALALwcjUBlXPYzct5pVwa4KTb1cHmfeVn/e+D/eZHywIcLDUj98I8d7OnWS7C5m4ah2HPB5O+AMc9viwVo0Dn916nD8sP8yzW49zd3oyVlVSFvIzevkyblr4HSOylzK+Q3dGZ3TjufX53LxgKX7dOKPiz/R1uwjoBu1TG1IW1CJCRHi/l4m5K+me1oSRyxdw77LvmLVlPTc27cD8g9vZV1FcY3+3v+IYXqOYqVumUFK5Fd1byHPtxkSeG/e1uJenVu+Nuo5n1+7lqM/L/rK9LN7wLM9nDcLliK9qM55nOvUgJ3ci+39cxldLR1NZspUfltyDjSB2Wwr9+r/I8dV/5eDnD6AEfIT6NGRj7nhyP7iGjV/eS2XJXnyVhREhAqCy0k3Oyqe4qFM4vcMW70L5nVTjEkKowFzCtgBtgduEEG1PPUZKOU5K2VFK2RGYA3x2WjPPAKer75OBY1LKllXtLqt6/X0pZbuqtl4AXv5FbyiGCP7ryAghxFbCoxYT8EchxD4gQJVLjZSy/X/7Hr8n2AOgv3EcWRQeEcgiHfWN41gmpZ1TNQ0FwXPdu1AcCGAzmfBrGilWK0pVooYuBc+uPkiBN6yoFniDPLv6IPMGtoy0ETKMKJUXwhOukHH2QkJAh7e3HWFM51okWMyUB0O8ve0I4zpfdPY3E8NvihRLEjO7TGb8+mmkWpK5t+VdNHI2QFVMYE9Cb9CAR7OX4vZ6SbLYKPVE5xyXeiS+kMakzBZ8vf8o03s1Y1LOXt7b7mZyt4ZMWx2ucDGuZQrWuUVR3NfnHOcPI2qz7GgpBd4gk3L28nLf5nx9sIAUq4WmCYm81rc3YPByr648lLOWoa1bMGXlAVJtZsZ0dpFgMePTdPy6j3a1UmH3fgASLDU7bDeOTyDVaqNRXDJ3NOvAP/ZurjLxG0yi2USZVkJ/VzeMqlQNICpdw6I6mHbx1xT53TzX5Xb+tnspk7sMYtr6TZGVm+e79yTZqvLVjtlsP7Gax3q9SaopVmHm10KyNZFXu03jSOVx7KoDMKhnr40hVUq9GqWe6MlZqUfiDYaYlNmC6et288+dB8/grcMrsJ/GV+u8Yh4YUY/h63bz7OoDPNKlIXaTnTtb9ODRNZ8iUKI4l56cwNDWjVBRmdOnJ3/ekse8vM083LUN9Z1xFPl9BPRKetery9cHDwPhlDpNgjR0NEXWyGEDSLU6KAlKhrfpjdPkYFz69ahCieLmY+v/iSIkj2dm8sy6dRF+Pp6ZSYO4OD655FakDLJoz19YcegL1rm/57Feb5LsqBszr7xAoAUlqinM71rNVMrdOq6MmlM+Y54RMVQjPqiiz4vu34xXj9P7vjoR4RbCfaVDNTF5TT4v9+lISSBAeTBEfWccBysqeHFjPvP69ebtbYcZ07kWqTYLTrNCSNcJGibe3JYfERJSrWFTyZARYmyHdN7buQdPSKuxj/OEgiRa7CDVyPkn93spDQRxez1V2x4mrl7KuPZdeHfnOiZ36cW09ScjKSZ36cjcHZ/yYMZgXuwyidrmOBQEjTDxZvdX0KRAYMbtXX3GddhVO7XjW3HAmsjGvBeY13NCVRWiEAHvwcixdlstHElt6N7zBSq0Srp2f4xA+WFSWl1B8bYv8fsL2ZEzA39FWHTwV7jZvvRJ0ofMiQgR1aisdGOyJWKLd9Hu8pcx289PYViGZA+jXL6EjgsVt5IgHhZmsernz/xJZAF7pJT7AIQQHwLXEI50qAm3AU9UbwghugB1ge8IV3ysxj1AawAZNuA4UfV3+SnHODlZpCGGXxi/RJrGOdZ5iMbPhdycctwNwCdAVynluv/mPc9nKLpEK4pempBFOso5DhBE1f9e3BjOq3c57DzXo0vEM0KXRISIahR4g5z6NqoQNYadnYv5pCFh+dFSlh+Ndioe2ykmRlwoUBWVBuZE/t7zJYoCQR5Z81kk7/HxTkNwqo7IYKA06CcpzhklSCTFCVLsNsoqy+nmiiPVpjB3QEs0KTErMPdiF7oBdfyCUA3cTzWf7KYKvEFsqsKcPpmkOewcqfDzVr6bIn+IGb2b8WTXjiRZHaTaixnaOo0Ei0p5MMh7OwoY2d5FsvXkCkJ5MFijw/bRSi8jMzpywu9jUIPW3Na8EyEZQjOCTNzwNE3jGnFfy2FICbN6XMXiH3dzeYNWUekaz2ddjkcXXGS3M7rtFThVG/P69keXEkmIhbtepVfDIaw49AUAuowtR/66EAR1Ey9szolwd2qnK7GqNioCoZ/krB0T8/p3pnoM8trAFoR0MKtQSzH9R74WeIPYTSqaIWkaX4cXssK+JNWcS09O4P52zZm+JiwKpzkszOyTjk01oxlwzOvl9fw8xnVMJ8FyMsHf5bBjEiAUFZMQNXLYJAQ/ess44nHTKqkpI1b8u0Zu/rn7vZiFjalrF/Fgh0wSzDbKQ37m5q3gma4X88QPl0bdX5HXjS71mBBxAUELyIg/hMUhaD2ohjIaVVBUYtU0YgBAaDIiRFRDFukknkafpDhBos3EM90zsCkm7KqOX9EJ6gZpDjtjO2SgGZIhTVJZcbSEa5vVoaBSw66qFPlD3N2qPcV+P03iExjaui2lgSAlgSDfHDjE/Rmt8WpajX1cWchH0PBhUSy4HI4oQcLlcFASOL00t4cEs5W80kLm5efwYIdMmsQnU+ArBuHnwfSrqWtLZOvRBbyQ9yId0/pzWauJTFi9CLfXw6yel9V4HT7dhyEFXVvdwe4jSwhqxby6dnykBOd9nZ7g0N7vqNv8Ju7LfRO3rwSXPZmZXe8mQVFR45JwpGWgmO2Y7ak07PUQqi0R3V+Ge8M7KELB6XRFCRJOpwuboxadrv4r1ri6UUaX5wtkSPbQjxpfVswN1DKKJEqqaBw/yvqlWk+5+r8QJOoDh0/ZPgJ0q+lAIUQjoAmwuGpbIVz18Q7gklOOq07heEYI0R/YC4yWUhZW7R8FPARYgIH/y+uO4WfwXzNYSnnwP/33n849m5CbquPigbHA6tP3/X+DNIFIjV61EKkq8hxlI03KGg0qtSpPCJMiImHH1UhzWCJpHOFjVKZ2vjgq7Gxq54sxKWdvpKmKmt8nVk3jwkHAe4Kcr+8hFPRHhAgIl6Z6ZuN8bCZzJOzxrd2bGTIgPECB8L9XDlB5fuN+nOZEGsbFc9+yH7huwZfctPArrv3uK+7PXsju8gIMVdbI/aLQydFxn3pJeAJmXslR+eMXAV5dpTAioympNjMTV+ylJKhx3O9lRPv6vLLxMCOX7OSVjYcZ0b4+qpCk2qyRdI5vDhzmuZ7pZ1S7eGvbLp5dt5mgbjBh9VKCUufqH55mVO4bjE8fyc2NhzIiexk3LPiWFzdu4YamHflo75bTXLS/o0lCcwr95by67RsOVBYzPOcdrls0h1ErP6Bzg9swqiKMUh0u1HP4TcVw7igJVDJ+9SdR3H1649c4TRa+OLzzDM7eOsjK8xv3c+P8PEYs3skRT5CXNxzmiMfPU+tyuPa7r9jjLfuPfE1zWPBpOiZFcNOi93llay52VUQ4N7R1o4gQAZBqM1PuN/HowhDD/h3klRwzozMySbZa8GvhNqtFZdCw2JJRlbBRcbRLfCtO+L08s24rrZNb8daOdf+Rm7o0KAqG/VHuX/Epj66eT1HQiyoEqY7oaJ1UhwtVxLh6IUELgGo+u+etUCCmi8YAYKg1j0VtTiWqr7xlkIU/bz3EvYt2MnLJLjwh+GJvIT7dIGSYmL2hkJu+yeOVjYe5tWUaum7m1VUK4xcYvLpKIRiyMa59F65v1pIHl69m+NJwRY2bWjTl4937UERNfVwLkiwq8w9tIcli4emsrMgYxOVwML17D+Yf2h117S5HHOWhsOFwXmkhs7ZmcyJQjBAhnt70AX/KmcN9OXNpUKsXvRteS/eGNzNhdXYkuuKt7RuY0rXladfRjBQLfJb3Iid8btIbD44IERAWb/+y6SnapA9jUpVhMIDbV8L4tX+n1AhSGSihbs9RIBTSej3Ax3kv8Xr2vXyc9xJpvR5ABnz0H/ASTme4L3Y6XfTu8QQFy2ejKpbzUogAMMrlS9VCBIBRJKmYG6hllMuX/o8u4VbgEykjPdpI4Bsp5ZHTjjMBFwErpZSdgVXAzOqdUsq5UspmwARgyq9/2b9P/JIGlv8bnG3IzTPA88Aj/7eX93+PCovAPqo2Ym44VUOkqjCqNhUWQco5tKNJGREiqhEO7w13DAKNp3s0ZuqqA5FVuad7NEagAWHpWzc0HCYTj3boh91kwqeFt/VzWDqxKJKX+7agoFLHrqr4dJ00p4rlHEuVxvDbwTA0fB43umKusVZ2QPczNTOTp9etI6+kmK2eHxl2dTMMAxCSLw8Vkn20lF2lXuYNbFVjSGWCxcqC0gMMfqAR2pyT3Dc9UBth10hPcVLkDzG2Y2MeXRigsMohvrBS8vJKneFZFzFh5U4SzFY0Q+e5tQdOS0E6wNwBLTCkxsu9u1IZ0jjh97Hw0D7m9utAgc9PeTDI63nbyS8JR/GYFAW314OU8O+Ln0BKiSpMjKhKSam+9km5q3iwQwbLCvafck8VaIbELGyManslD676OGoi/MTGhbze6zYuazaU7hddhkn89GplDP89gob+k9y9tUVzfji6mz9c0QazUDGpgvf3/Eh2VTRXgTfItDUHeLBTA6avOczYzulMyF3OzL2beO2B3hhzTkTxtXayymv922I1S+yqoFI7KQRUahoLD+1nbr8OaIaIik67s/VFzMzRorg9c4XBS5dZaZoAHw7qxzGfl7e25zEqoy3FwUo0w1qjUfGo9uHf2YRVOT/JzQ/25nBlwyzm5C9mSqf+PLtxaZQRa7nvEKO6vsjctY9EVvlGZ80kwRozH76QoAUkZvvZiRGKGjawlFLWaHAZw+8HlTYvCWNqE/pz9PO4wKRxx5VmFASaNJi99UBUXzl9zUGm9WxMHbMTw4BX+7ThnZ1H+OpAEce8Oq+ukqTYBSO6Woi3CPyapH58PMOXLYtaPJu+bjNjO6RjVhRMiuDxri2pbbdjVgSK0CgJatzSNBOPppFmd/JKrz74NI1CXyWf7t3Orc3bsqusBLfXg8sRx/Pd+vPWjvB6Zjjt8nLq2pxsKz3Mk53uwJA6hhQEdcHgVmPQDYnbuyPyeeSVHGdufi5/7tcX3ZBYVRXwccJbSnmgCKvJjpRGRIioRpHXjVTMESGiGm5fCYrJwaKVE7huwDwkgk+y76e06vxSr5tP1j7BPX3fwLH9OIMu+ysAupCEAh5q93sI1R5dLvS8go6rWoiohlEkQee/yUf9EWhwyvZFVa/VhFsJm09WowfQRwgxEogDLEIID/AY4OWkt8THwLAa2vsQmPe/v/QY/hN+azHiZ0NuhBCdgQZSyvlCiJ8UI4QQ9wH3ATRs2PBXuNT/IwjwJavYH03DLCWaEPgswDmOC8Lhu/YoQSIc3htuKGRIfr5vHgAAIABJREFUXtmyhrGd0yNlCV/Zsoans7pHjpdINhcdpE9aG2TVJSwv2E4/V0vOFiFD4gkovLpKUlhpUNepMLGPgsMUM7CEC4O3imLCHudCNUK4HIlRkzqXIxFPKIDT5OCRTp2oZ4/DHIzjrS/9lHpk1cpJXdyVAb46UIRmyEhI5eROmWTVaYguBaqQNIpLwO1XkWPqUNcqOFgpmZunUeQXPNm/JUl2DU0XkclaNQorJQkWE2kOC+WhAAlma40pSJ6QxtDF31bliHblvV3bySsu5tqmzfhw116uaNyQRzp1IAULoZBBnMXE0OYZqELh472b+Mfezfy1741RYkpGSgpDW7amaXwCL3Qbwrs715FXWojLEY8mdf60/J+82WdojRPhCs1Lv6Z3oUmJTwocWhCz6cIworoQeHsqLIr6k9xNsSZwTb22vP9NiFJPqCqapw4bT3jIL64Ewvyp67AwrmMTmsU7+Pdl16OIEKUyRNKkOghdEEQwY2uInCMadZ2CpwbYSLaG+HT/vsh7CiH4555d9K5Xn/KgQZrDckpkhIXCymiht7BSohtw/ffzI7wtDvgRQkWTQUxCoVOtFNrak7GiErDrdKqVgmYYPN+9JwkWC7XsNjKS6pJXWlh132Fu3tK0P3bVzLKCXRT5PTzYrieJFjtlQR8SP9Jk51DJNsZ1n4MiVAyp4zTHXzAcPR0XGmd/KegBsCWc3bGiKjJSGhALgDk/8FvxNkiA4lQTZWNsNLTFo6sqz24OkXPEoK7T4NHeKrWcRkSIAEhPcTKuY2MSpYW/fxmIjAGGDmpIPaeVVnYbz/cUOKyC2ZsCVW0JnuxvJcVqjRqvur0+kq0WatusSGC3r5gP9m5mWJv2JJnNfLRvPTc07s6k1atO8X7I5N1dW8krOc7+ijLm9L4U3TA46i3FpBiMzujJHS07UxLw8db2tQxr05XPD+RR5PcwOv0Snt24mFSLg2FtetLImcysHpfz1o715JUcB6Ao4EMVkj2Vu3E5krl9+Wj61enBQ11mAiq6EDzS+z0+zX+BfSVbgXA0GUYAlz05IkhkJDXigbbX4rQlcfHA9wiqKor/eESIqEap140eCOF3KexYPZN6Gbfy2bqnKPW6SXK4uLX3LOokNj8/0+ZU3EqqaHyqIKGkClBx/4ezfg5rgRZCiCaERYhbgT+cfpAQojWQTDjKAQAp5e2n7L8byJRSTqza/opwJY3FwMVULYgLIVpIKatDbIYA0eE2MfxiOA8ZfBJVOT4vAw//3LFSyr9IKTOllJm1a9f+9S/uV4IqBaFywZqPgix+M8iaj4KEygWqPDc1wqYqPNejSyQkvTq816aGv3JVCIoCfibkLmdE9iIm5C6nKOCPSp+wqxY6pjZn1PJwSPqo5cvomNoc+7k490ozM5brUat9M5brIGsocv47xIXAW6ujFlkXv4jncDYvZF0XKRNY7RmhCpXH1mQzbuX3WKSNDxcGIvn34WoaAe5qdVEkDWhyl0yezcyidWJDHl4Q5K7P/Ty8IEhAs/LY4iCHURi2IsSoFSG2FUkKKyVPLg2wrbicoBGe6J2Kuk6BT9d5rlczvjlwiPJQoMbUoKMRMysv09avZWjL1rgcDipCfv7Ypg3f7qvA6bGw/X2dvDcNNr0X4o46HTlUXsSVjcPZYyUBXyQcNCMlhfvT2/HKlk3ctPA7Xtmcx4j0XvRLa8KMrMt5b/dKAIoD3shnVg2XIxGH6mB4zgdcv+gN7lvxPns9JwhpF0aJrguBt6ci2erkpW43RnF3aqcrMRCUVBr8a2EoirNfL9EZ1uqkr02feklgWHljjcpdX4T5+qNH4NWhyAwbA4Lh2UFyjoRF1sJKyRNLAmwvruTyBiczD6UMi3HlwXBO9KSshhGuxlmUGrktq/wqqnl7T5t0pNQxCYU4VeH2uq3Y/r5O7rwA29/Xub1uS1wOB69s2cSI7KWMWZ7NqIzeZCTVraqMEebmsxu/xWm24nIkkld6lEfXfMLwFe8xK+973L4Cxq+fRuNaHZiy+EYm/XAds3IfwLiASy1caJz9paAF5dmnaVQJEDHfiPMHvxVvHYoVHYPx25aSGyzl3qXR/dsLK3RCmhrpv9JTnIzIaErAb+aDBdFjgOz1Qa6tVZet/wyS/7afre/7+VMzC21Slcjz/U9t0qPe3+Wwk2y1UBr08vjapTy6+geWuQ8xIXcpQSm5s0XviBAB1f3jOu5sGS7qVxTwIaVk7rYfsKiCooCXMSu/4t7sz3h09bcsKzjAhNXfMaRhe+5s2ZOnN4SFiBFtBzBz7Qlu+iafmeuOMSq9JxnJtXE54pjapSdHK8t5ZUs+hmHn6vqDuKPp7Yxc+RHXLXqd4Tnv45UObmr/JE2T24U9Izo+wf49nzKz69247MlkJDVibNubeHrdWq5f+DmjchZzsNJDmRpPK1f/qM8gyeFCtdtYs2oy9VpcGREiICxUfLhiHN5AdMTF+QIlQTwcP8p6QkkN9z1KqiB+lPWEkiB+dj73U5BSasBoYAGwHfhISpkvhHhaCHH1KYfeCnwopTzbEOwJwJNCiC3AUE7OOUcLIfKFEJsI+0bc9b+99hj+M37ryIifC7mJBzKApVUhg2nAl0KIq/+/mliqmmDHl378ZeHfkL9MsuPLAF2G2n7mzGj4dYO3t+1ibIf0U6pY7OKhjhkACCSTu2Qybf26KFVZnGIW69cN3tq+jQfbd45ET7y1fRsPd+h41tehy5pXsvVzFFdi+O2gKCYSUlog7Um8u/VFJmfcSKKtDnaTE80IYjUlRPIqTaiUeqJHsqUeiVkozOjdDJOQHPVU0L1OUx5aEJ1uUewLCw/xlpo5k+ZwoPkCzBsQxyGPwRtbQxT7JU/2txKglJyC/Yxo1xK7amZG7zgmrtgbSUGalNWA1/PXRyIZEiwWatnsvNyzD6XBEM/k7mNy+ybs+1KP+u1t+SRIp6H18Kh+3up3I0kWGzO692Ri7kqGtmzNtPVrTxsMrWde3/68uXMpXx7aAsC7u1fxeKchPLNxPqkWJ39qPZCGzhSO+8pJtThxe8twe8t4dM3n/KX3H0i7QFeez2coQtAsoQ5/63sXfj1Eie9HpFFKor0hHq9aYwWYFGtYME1zWBjdoRGPfR88I4VidA+NhvEObCZq5KzdZImICS5HPCYF5vbuj1230KVtXUJI5vZviY7Apkoe7mnmpZUhCisldZ2Ch3uaURQ9EuVQHgzSND4BTfpItcQT8JrY8kngDM6m/8ESxctn1q3jtb6X49cD/HPPqgg3Q7rOlE6D+WjvBoY07EyKJY4kq5W/7/kbbt8xFBEeIqQ6XAzv9BRW8VsPGWI4F0gp0YNEDCx/DtWVvS9gzSmGXwiaEWDZvg95oftQgiFLjf2bRVWZ1bcF5eU6DZ12jngkTjtn9KdZLcxsPq2f2vdVgHuGWHhkeXgccFFcfCSa1+WwM6NHJk6TwpPr1kQiEyBsRGkWKhowNTMrbFC9awd5xcWRlE+XI45Xel6CVbEwLuMKCn2lxJmVGqvDJVrskb/HZfRn+pofT0vxPMzs/v3ZV3GMuXkrGd2uB25vBY+t+Z5ZPf7Ag7nRKZhPb/yGCe0vZliX56ko3cbu7R+Q1W44DquTWR2uwelsxP3Lv4+q9PH0+lU82rEL/Ts9RmHZzqjIB7NQ8XnC1TNqipzQ9PNzAUOYxSq1nnJ1wgTbL1lNAynlN8A3p7029bTtJ3+mjb8Dfz9l+yDQt4bjxv7vrzSGc8FvPbL4jyE3UsoyoFb1thBiKTD+/6sQASAMIh12NfxlEnGOFguaNCjyB0GqCGmGqu1qzwgDyaqCQ8zq1QdFCAwp+erATi5q1ubUq+HmZm0iNZ7DBn9tOJecEVWEB9WnPsjqOsNh+TFcOFAUE7qATQVL2VSwNGrfsxcvwOWIw+31oKGTFCfOqEygKCB1yQe7jjCoYQOOefUzBjelfsktbVQa2wWfXGUnJCXvbgvx7T6dXhcp1A1a2PxJgD1lPmyJgqdvsHJYDaELPy9vXkJeaSFv7FzNZ5cORZMB3ri4JbqhYEgo9FXSJCGByxo2iggILoeDp7pmUdceT4E3SIrZRFFZdPqQv0wiDIURyxdEck+nZ/VlamYX6tjjavS/0KWkLOjjhawbImHvKwv28GafOyn2Gzy2chtu797w76nrFby27RvySo/i9pahGRJd01BNv3XX/P8PihCk2uI44XXz0oo7Abg/6zVUmpMU5ziDs/FWlb9e3Jo4i4pJKD+RHmRFFRJVwEv9rThNgtKg5J38sFAmMVCFyut9rsanhbAIBbPHxpZPgvjLJLZEQdOrzcw9cIJ72iWzr8zPKwPjMQsBiuSYFsIkBK9sOaUsbI9eNLLFYVLN+HVZ4/PCTHSMvdvr5bjfw5+Wvx15zeVIJMFix6HCva0GMXFlPm7vwSpe3kRZqAKTUJna868Eg2Vs3DCHOj2fpdJTgM1WK8bRCwCGBlKeg4FlJDKiOjEzht8rNEOjMlROssVKQDFT16mfMY4rDwZJ8KmU/FviLvNjSxTUu8FKm0YKFV4Y0NFMYhzEmxX21dBPNbSISFsF3srI4pnLYafQV8YRr6DotKoY/VwNKA9pTFiVc8pCWldez99Kkd+Py+FkRlZf/JrgoeWbI2PXGT3T6ZfWJMo/x+WIpyzoi/ydYHFQ4D0W9X4F3iAn/D4eXf0NLkc85cGwCabbW4EqTDWmYNpMVqRQSUtswUVZk1GFmTLdh2K2oUsiQsTJczxVwrXCPQPewpA6JtWKw5ZC0FeCPc6F5i8jyeGKEiSSHC5M5xKp/H8MYRar1FTR87e+jhjOf/ymaRrnEHLzu4GigC0xehBgSxQo5zgusKoqozI6MmeDl9E/HGfOBi+jMjpirUrTsKoKlzZozric5dy88DvG5Szn0gbNI/urriYiREC4pvL0dbs4F9qY1RBT+1si4cd1nYKp/S2Y1dC53VAMvznMiqVGd309dIwZ3frhcsTxtz3ruHWQ5TS3bSt/2XaIx3L2cWWTi5i0opCSwJnpFicqNK5raGbBp34+e8fHki8C3NnCzC1tVMZ2OnNlZcunAUJeg8krTnBny7DXSUZSXUK6jkDhSEWI0Yvd3Pz1YabllnNDk3Z8tGd31IrxE2vXIAivfheHtBp/e1IxolYxJq3Jpjzk56CnJJKyUY3wts6wVr2YlbeI4Sv+way8RVx6UTrHfJVVQsQpv6e1e7mzZd+qcxNRhaS0dDe6FouT/rVwKo8X7ppHgi3EVQNFFGevGmhi6to93PvDDm77Np+QYdSYQhFnNmE3adQVgp2LgmR/5Gff4iAPd7Dw5ACVJKuCKmBO3g88mPshStAUESKgaoXwyxA3NUzk7a0l9E+JZ8nnAT77u4+FnwSw+FS8miTVGo6MqzalLNU1Ar4ShFrz8yJE9NK2y+EgyWKLSlOZ0mkwM7d+hsReJUScystDPNR2DPlb/sL8RffyffZ4fP4TlJbsZsF3w2IcvUCghedNqGepGylVA41YZEQMJsXEZS3v40ffMUyqwfhe5qhx3PheZuooJnZ/oUX1Z1s/DXBlNwtXZlk4nBfC8AvKSowa+6nSYHix6qFegtfztzJx1TqeWbsJv67xxLoc4kwWnsrsjcsRB4QrYjyQ0TUiREB0+trzPXrx8d5NOMx2Jq2KftZOXJnPAxm9oqrDzci6nPmHtvDurpVM7TwQnx6sMcWzPOjF5YhnSqeBvLtrQ+R8MGpMwfRrAQIeNxVlB5GGxp6K/QzLnchNOQ9yoPJQ5H5OnhOHTwuiF+9HL9jO4Y+Ho3iKEYDVnky3S17m6O6vuT7zCZKqnl3VkRMOa/J/8zXHEMN5gd/cM0JK+Y2UsqWUspmUclrVa1OllF/WcGz//89RERA2jcwYYo103LZEQcYQayTU92yhGyrTVhdRUGWIVlCpMW11EboRXvoI6pK3q1Iw5vW9mAfbd+bt7dsI6iffR5cyqqYyhDt1/azTsCBg6Ly5M5f7ulUy83KD+7pV8ubOXAKx0c4Fh3hrMmO7zYpM5Krd9X26zpu7vuLB9ukMbtyAkLWMe662MuZWG7cNMfPevkN8daCIAm8QVQgKKjX+sa2Yh3tGD24GNrCweH4AT3mYX55yyZL5AW5uaaYyEKxxBTjZbKKgUqNJfCoZSXUZ1iaLoz4vpQGDaauLo/g/JecYNzVtw/PdezOv78U83713eJIndGb0bsbHhwpperUa9dtrf6OFT36MLu5TXa/8re1reK57z6iSYo9ndqAkeIIJaz+PCt2cuPYznCZHjb+nRLMDlyORF7Kuo2D35yxbOh6//8Qv+dXFcApO5fG+0q1oRjF+8wnuuFLhgVvN/PFqKy/m7Y2YVwL4dO0Mvj7c04zFJJEhE0u+jubtmoUB/H4/D+WswasZ3NkyvDhklqaf5PH1jRJZfHo7C0KUVkimdOkZxVlNSgwjiLCEaH+j9TTOWqlQ/VG8fLJrZ0JGKbN73MibfW5nXLt+vLb9K5YV5lES9NfISwUTPx5bE/7MnC4G936R/K3vUFnpjnH0AoEWDHNJOYfSnhATI2KABFstECZmb/sKw1CYt7mQ4Vkw8zIzw7Ng3uZCVKnUHMlrCFYuDNCirZkViwKsXx2i7ZWnjWtvsJCUHOKFQWb+tTeP/JJSXA47U7t2wK+FcHs9PLRqMZqhM7lTd/51ybXM6XUpEmqMSGwUF0eyxULPtMaUBgI19mneYDlPd+rAJ5fcxuyeQ0iyWBiZ3pdHOlyKgZ9Um2BG72YRQSLNYWFG72a0SkpmXu9r+GjvZvJKwgbVz2Vdil1Vearzlad5EV1BPUcyR3d/gc2WigcnulKLh9s+SEZiK/66622ezOweJbBM7dKD+o44kpLrYa7TirgGXdn79UNo3hKEUEhIaU7HnpOpndCMOwe8ycgrvuTOgW9RK6Hp+WleGUMM54hYnOX5Bik4uDZA60stmG2CkF9ycG2Q1oPOrfSfZhCZiFWjoFJDr4pCFz+RgiFOCc1URLiW8qmdusthO6coDUNCtvso2e6jUa8/2P7sfSdi+O1hSANvoIQEcxKTer+FIQ1UBHbFTpE5xLLCPJYV5kWO/3LgNEZl76bAGyQ9xcnsHq2oZTETj4k+9R0s/9HL61sKGZ6VQrLVTC2HAhqRiVg1POUSw4DCgA9boj1q4GNLFJSENNKcJn6sLGdCpwEkmq0c9VaCNNfI/zRHHGOXn+T8lK6dOObzMWfLZoa1aYclQdLlTisYIBVJyBxi+/7oSVd1vfKioJfKkJdHOrWnviMRkyJYfzyXi+IbR4SIjKR63NkyXKXApppq/D25HPG80es2CnZ/Rt7m18Kfd8xB7ldFirU2j/V6E0PqBIWVa354LrLvy4HTSLWZmd2jFclmEyUhjYBm8NHuEwzPSqzy4NH4aPcJrm9po7ktvkbeWoWK2+tDCEHT+Nq8kHUjutCxJYoaeVzLZiKvPHRGO07VREUwyMilWyKctSoKirDiJYTPqZH+BzNmVELoeM0+1hQc4bW+/Tnur6SOzYlTFfilj6ABw3JmR72HXw/UyEuTkPTv9DAWayJayIce9FB0IuwQX1npjnH0AoAeCPPsbD0jotM0Yvg9w6SYsKtWnux4B4qAooDOYytOpgj0qe9ArYrkPb0/U9Vw32WxCTzlEk+5JHdVkI6XWbDaBI54mL17PV8eOsBnl13B6PZtGNmuNcd8Xt7fvYMhjRqSkVyb+9t2Js0RhyIEx3yV/HnrOoa16RipyFUNl8PBnrIyXtmyiee696QiWHOf5rTEEfIfozxUwaR1X+P2lkWixL47vI7LG2Tx0d4cHsvqQV17Mkcqy3l+01KKAj6e79afMe16MKZdT0JGCL/uw2eY+OrQKiZ3HEQde1LVdZaCDNKk3e0UG6lMWJp3cozddTyv7pzJK9tf4rXej6MZElUR2FUV3fBRZugo0iAlaxi1Ov0BzQhikgZCKFjsyfxYvofZq8dFSi2P7TaL+gnnaTWNGGI4B8QYfJ5BmiQNu1nY8X2Qtf/ws+P7IA27WZCmcxscmBRIc0ZrTWlOE9VZGPInUjDkKZSwq/Bcz3RcjnCIsMth47me6djPoeSXSRE1hrKbzjXvJIbfDIY0OFa2hzcX3cmsry/n3cXD0EIeEmUCYuaHmKXAZY8OFcwr2cFzvZrRt14Sk9o05cAilaUf6nz/SYCHW9ehT30H+cUBZm88TkAGmLI6FykkcQnRvIhLEISkzut7ttP0GhG1stL0ajMfHyrjsW5JvLljHY/mLkFH4tM1/HqoRv4f8XijOP/s2l0EdUleSTHjVi5jePYiioSH23M/5+JF/+CPy+YzrHUH+rnCPrsuRxxTOvdg/sFtTOk0kH/t3YxFgac2fM7Ile+RWacr5aHwACcjqR4j2w7kla253L/8S17espTpPdpG/Z6mdG2GHjpOsGhTRIhwOl0oSkwn/jVQzeW/LrqDOfOH8M+lw1GQUfxde3wr41s14cAileX/MjiwSMWFlfs7JDN743FGLT7M7I3HubFVHG/k5xOUeo28LQ0FcDnsSCnZX1HCK1tz8ZkDtL/RUiOPk+xqje1U6jrFgbBJWTVnJQJd1wgaCqNWLGXIkn8zaMlnDFnyb0atWErfeo045qvAogg+2reaSj3EPSvHs7t83xm/VYuqM6VrszN5qZWSvWQ8q5ZPxaza2LRhbuScGEcvDFQX54kZWMZwrtB0jeN+H2NXzudH73Emd0+KPFP71HfwcOs65GYHz4h4aHq1mSOBIHEJgqD/5DP9eKHB9/MDLP0+wG5POb3q1cflcKBLgzErlnLL998yfcNabm7enOXuQ4zO6Mr0Deu5YcG3jMxeii7h4Q5dWXxkP49ndo2K/AqX6t6B2+vlsdyVWFSY1LV5VJ82vUcbpmx6mqBwRoQICEcuPrvxW+5oMZBnN37LsoJdVOpexqz8hnGrviOv5Dhur4cJq5dy1FtAecjLg7kfc9eyf/LAyo+4okE35u34hpuWPMcNi6fz9KYPUFUTJUGNCSu3n5H+dnfzuygKlnC8bAufZ9+JRS/hROAY9+RO5Jplw7lv7RO4DS9BI8Dyb+6lvHgPUhpUBEoiQgRAkdfN7NXjqDhPq2nEEMO5QJx95ZMLB5mZmXLdugszm6PSqxH0ga8MTGaBFpLYE8FiB6fj7Ad/FX4/R70waUVheEXYaWJ677rUc0C8zcaPHi83fLv6jPM+HdyN+nHhTr7A6+GlzWsY0rBlpJrG/EO7eLhDFmmn5bz9FAoqKykLBijyB7GZVPyaTqrNQqLFSprTedb3c57hV1FSzlfeevxFvLnozjOMk/7U/21MU9+BK3pxMLMh49f+HbevhKFNB3BzkwH4dY0UEc+CjwNRK8dxCYK+16kEVdhXXs57O3eSX1LK8DatuKpW00iqRlyCYOAQKyVmPzM2bqSWzcpj6R3DZW4VQaH0c6SynHd3bSCv5DgZybWZ3nUQuhSYBHh1jfHLTvJ/Wu+6vLghn/yS8qj7+/CyrhQHvBFX7jHtOnBv9vzIfpcjjtf6XIZuGKiKIKhr2FQzpcFKCnzlvLtrJb3rNufyBh2RyKryuDr7Kop4YfOKKAfvfmlNGJ3RGynDkUeF/mO4LDZMgRN8/+09OJ0u+vWfSVJSi1/DIPB3xduaUBOXW7n606PjBH6sLKOOPYk6SjILPg6dwdluV0n2Bz00jU+iwOtFERJVmLAoUNtwsPTrYIS3/YZY+LhgF5c0rIdJ0Zm+cUkkvPdv/W7EHLQgDIEuJMdlgCOV5QipkW6pF0nViEsQZF1mxmsL8dLG7VG8/XRwV+KNMsqVRJ5YmxupEFPN4ae6dsdhUvBoGlKCRVHQpIcCfyEqdp7Y+C/cvhJc9mTm9rifqRveZ0Tra6lrS47wsqEjBSr2Yxgh7I66LF40mspK96/N0Zrwi/P2QuLsf4NjuzQ2fhyg7WALztSfX3sqc+vs+iFE16E2Uhqew6pDDKfjgu9rC7zlDF/+BW5vBVc1bM2fWmchpQUpBXGoked67boKHTPN2O0Ce7ygwhSiNBAkVbOzOTdE244WViw62acNuNLKMcVHil0haOjYFRUpLWgybGxeGirHYTIxZkX2GdEPj3QKR4UB1HfGo0s4WunhjW155BUXR479eNDlzMlbwZCGGdSxx5FktVGplXPE66ZFQiOu+/71M+7380tGcN2ieQC80fsu7s/+/oxj/nXJVYzN/TDKtNLlSOSJzoMpD3lJscSTZHHw+aGvuK7B9dyyYOMZbbwxsDlWxUuSlFhMNoKKmT+tnozbd9I402Wvw1vdZ5D74RDscS76XvUOHoI8snDIGe3NHDT/DC+v/wKxVcIYfhPEljbOM+ghQd76EBldzCiKwGxA3voQHbqd5dJGFUIYJFolcwa6MKomPooIEarqa1QhagxjC0+kwtAMg2XuQyxzH4pqe2y7zLO+DkWAT5e8uDE/UrLpiayOJMe6vAsGmh6suaSU1DAnJyDz99G4W1te6zkCTTcI6CZGZC/F7fXyfu8r8JRHf9mecokJBb/UsZximPrG9p3EtVcZfGMjpCEIGpJ3toXYUCh4sn8PEu0hKvQgmtTxan4mrcmOGEtmJNfmgbYDeXjBybKIE3ubmZxVG5MqSLGpmBQtssJcDZfDxtFKD+NWZld5PmQROi383O31UOgrZ/7BTdzeoheqMAMKC49s4x97c7m/VV96pbVl1PKlEXfvGd170jKhzhmlxJYV7Gd0RnceWD03Mhl8sesfaZDQhGuv+xJFMcUqFfyKqInLnkARQV3wxf493NysE4oM1MjZat1eFZJ4s40pOcciQtdL/SxccoONMp+kyC95LT/E0I6tSLAG8esGj3cexD92reOrw9vxakFUU4CALhmbsxi310NGcm3Gth3InLwgVw20kGoTJNoBs85rG/ZGCRHhFApQFTMWRTAyoz3PrFuD2+snFlQEAAAgAElEQVSlr6seT2R2RyDwagZztmwh2300wsm61voIIXg56y6c5jgMaaAgSbXGIUSAB1bPjuJlvCFYvfIZLhv8Ny67/C0MQ4tx9ALCOUdGqGHey1hkxO8emiFxeyvISKrLkIZtuX/5AlKtdkZlZJJkOCN9ZHXEA8B1d1vxhCoQxPHSjuPc0SUZR5xk8I02dAMOlhs8vTZIsV9hfG+F+Qd3M6RRK2auCEae2xP6OEi06EzN7BYWV3duB2Boq7Y0cCaiCJi9ZSPZ7qP0ddXjgXYdGde+Cyf8Pt7buY2igB+3t5Rrm7SmWXwSZSGdkdmLT1Yj6t6IfmktWVawK3KvYfNogcuRiNtbRlnQG6kQdvKYOKyqucbqGbVtSTy14Vvc3jL6pbXkgfRrsSiWGsfYdW1J2KVKafEONmx9h/Z9n40SIgDcvmNoMpxT7fO4MYwgZlPYeLnolOdXqsOFSTl/q2n8GhBCXA7MBlTgTSnljNP2zwIGVG06gDpSyiQhxABg1imHtgZulVJ+IYQQwLPATYAOzJNS/lkI0Rr4G9AZmCylnPlr3tvvGbE0jfMMUhG4jxh8/p6fT9/x8fl7ftxHDOQ5pzUISgI6o5at58bvchi1bD0lAR0iYoRkSteWp4XmtowquWlSlBpdf03K2dNGInhqzSbc3nD5JLfXx1NrNiFjAuwFA5NqiTg4VyPJ4cJksmIedj3mQZ0pUTRGrpyHxMTE3JWRFY0TAV+NoedHKjVu/+ZHXlrrYVRGR9KTk3A57DRNiqdSMRjxg59bv/bz7b5wObEnlwbYWxrkpu/W8NDyfBRhY27vQRF+/ql1N2aukJHSY4WVkhkrQnhCMGLRUcYucXO0UmNSZuszOP/W9rDXhdvr5Zl1a1BE9PW6HHGYhcKNTXvy8Ir13LJgGSOX5XLZRZ25o1l3Lm/QMeqe3V4vE3NXEpLVjtunthXPkcoTuH3h0Eq3r4RH1v6NCkPDMvtrHEZcbJL3K6ImLvdIH8Mjq79jSKO2TFu//ic567RYmLPez55SLSJEQNiLxO2RPLDIz70L/UzMDpBzxOCJJQH2loa4uYqzNzbN5I5mnVAVhRfzXkUzAszo1h+XI467WmTywgpJzhGDidkB7l3o54FFAXy64JaWF0VxdkbPdEx4MNsSMCAiRGQkp3Bz81aMXb6aG75bwgPZq7m5eSsyklMinNSlidE589ENGy9t/YJrf5jOS3lf8mDGNTyz6V9n8FJNakS/ATOxqk6ccWnEJ1yEMy4txtELBFrEM+IcDSxjnhG/e4THf/Hc2aoLT63Pwe31cGfLdjyzbu1P9pG7y8s45hNMWlHI8h+9DM/+kSHfHCSvIsCoH/w8vDTA9iKDwkrJzBUGd7Rsw8wVRtRz+/nlBgfKgoxctprZm3fwUMfOjG7XmdmbDnLzd2t4YNkWbm7WhqsaNubmZm0Ym72VPy3exOxNBxmZ0Ylp3bL4eP8arKpAIs6ovDEhdyVj0i89zXTySjTD4NnOg3E5Enl3Vw5Tu/SIMpl8qksXiir311g947CnGLe3jIyketzStDtjchYzec2SM8bY0zIbYirdhe/4DtaveYmiE1tRpI7LXie6TXsdFBl+vtjjXCiKpUYD8bHdZhH/O6qmIYRQgbnAYKAtcJsQou2px0gpx0kpO0opOwJzgM+qXl9yyusDAS+wsOq0u4EGQGspZRvgw6rXi4ExQEyE+JUREyPOMwSEpOsga6Sjj0sQdB1kJaCc2+AgqMPfth1kbIdWzOuXydgOrfjbtoMEq1Y8gobBa3kbGduxEa/1bx/+N28jQcOItGEWIjJYhnCHPKNbf8zi7IUEzTAiQkQ13F4f2invE8P5DYc1mVt7zzqzpJQtBZFWG1E3CU2GJzCqUCMP/ozkFEw2Sf8rLVF8zrrMzGv5RcDJKi9PZHVhbIeWzM1fg26IqHrmEB6k2Kvq07m9fiatzMckzLze9zI+G3Q9jeOSajynUYKV9FQrBZUaAsHrefsY27E5bwzozLz+HXktbyN5JSfDO91eL7VtzijOP9+tP4kWJ5NWbYgS1R5btZ5bmnZDImt099YMgymdBp5RSuyvu76NOjbVloCB4MSD13NcDaDFSib+aqiJy0nxTXD/D3tnHhhVebb933PO7JM9LBn2TdYQtgQSdkWtVevrjrXa5UVbRXBBVEDcEAkqIFY2W/WtWt+27p/VulSBACEsCWvCEvY1C2RPZjlzznm+P2YyYSC20re1aOf6J5kzec6ck7nO/TznPvd13d4GEqwOyrxefrN/OyOuUKI4e/HVdhbuOE15k06CXT3HHNVpUf8+ZwtKuKnnYGxCkldZwNM7nsOUdSwfczm9ElNbHd+gGSzbGeLssvFDeGhob9yqRm7+JBoCNRimGeHe7X36Ma9wRxRH5xXu4PY+/cKvvShCoczbwCObPuPqLqF2uHkVJdRr3kgiAiA9uSvT0q9FlxLd0Q5pxG5Ov4vQAxKLAfUbgviP/v1yB6XZwNIA3Ss5+XGA0+uCfB/lvDH8bdgUyeLsq+mR0IYnho3luRETaO90R2Jk5uVExcgRVyioDujkjjsnPibaLK3GN1X5mrhpCZXylHl91AV05mzae46/2U/69D/H92zu5lJS7XFMGTCO9o44moKNrc7NqlB4JOMHvDz6Nh5Iv5Slu1ZxT8EfaOuI47ejfszczB+RovrIHdybN8eOYcXoi0m1aKw8+DrPZV0blch4bvgNrDy5B4C7+l/M3C0bKPM2UlxziqUlG5g+rBvv/GAozw20cGrjo6iqyvGtrzN61FO43R4O7nidBcNmRRISHmc7Fgybxclt/4MzzsOICQuxmQ6EFHRM6MVjY99gweWf8NjYNy5480oZlDlmlb7erAweMqv09TIoc/6PuxwO7JdSHpRSaoSSBv/1N/7+x8AfWtl+I/CplLKZHHcDc6QMlaNIKSubf0opNwPBVvYRwz8RsccbFxgkgt+VBvjRJTaSbKE+zL8r1Zg8/Py6aQDcfFF3csPtPdPcFmaO6B55TxGCFIcDUEGqgEqKwxH1VNhn6JTWVrBizBUYMqSF31R5hIS2nb7xMVgVBY/LGZWQ8LicWM+juiKGfy8UodAusRd3XPoGuqFhUW247MmhSVAAVgcWYeJxJmNIA4/LRardwV3pg5hbuIMUu50plw+gS1w8iiJ4pKCMkupAZP/lTToqKj0SUhmc2h5VCbVOPHOR0t4tqAu2SCzKvH50KVGFRMWPIlytjjnZqPHLjBTeLa0jyW5lysDe1GlBfr1tP3Oy+3FvxmBqAn7eLN1DcXU1HpcLqypYMebyEOcVQZxioV6XpDjs3DdoQLibQpA39+5HM82ISevZ+lZDmizftYEHBo4mwWanjcNJha+aqkBLyX16clceSr+eQ/WVOCx2/HqADkaQzq42WGJPn//paI3LAex4XPHUB1vaYTY6fFx0ObhVK02Ghu5SWXsi9P3WBwzS3JaoBbdPN74ZZ02JJkPSnR5xXXFa4gCJRbTOebfVAhJmrG/pVPPOFZkk2tpgSAM1zL1Uh4Ou8QmtcjTBFirj9bhcmOHS31DypcWzp9Jfh8eZTJmvhvTkrkwfcC11mo8KX0OIk64kOut2LJbzkwvG8O+F7pOk+MC3x8RXatL+JoE15evn3jNbex5/P0B9cSiBodghJSv23f8nQQsb5M7I30SK3c6k/r2Jszp5dfylvLB9C8+UrueXlw7iooRkTnib0N2CgFciBFHxcUCqnXi7aDW+SWm2Hje1FmmDw2JpvfWwEK1uD5gmJ5qa6OCKw22Na3Vulpjcv+HtqLHpyR1A2AhKA2QQqwygWkxcVsHK/Gm4HSncljkdIWwsyZlIjeajOuDllT1ruaXncADSnIlR0o7imlM8sP5z/jBqJLv+ehfOOA+OuDT6T3iaYFMVl1+2HL/3FIqm8UrWHHQhsEhJosWNHDgJ0f5GxFubCNavwjrpekRaWxIdqf/oV/qtQgZljjyhfRRYcqqNrDIQqWo3+5S2H9HRdo2wioJ/cLcdgWNnvD4OjGjtD4UQXYHuwMpW3r4FWHTG657ARCHEdcAp4F4p5b5/8Bhj+AcQuyO8wGC36PxkkI0XijTu+tLPC0UaPxlkw24536elaiQRAaEbvtyNVYRkVuBUFe7om8lLRX6mflXFS0V+7uibifMMDb/LYqV3koe716zmhs8/5e41q+md5Ilkrb8RhM7srHQ8LicQSkTMzkoHEXv6+12CIhTiHKkkuT3EOVKjs/HuZJIVO89l/Zw/H80nNzuHSf3SI09pS2pquXtDPnesz6NWBqgKRD+hS3Nb2F/n5b7V+7m8Uz+sqs70USrt3aHEWHu3YPoolTf2HIiM8bgcBE2dRdvXUhdUWLBzDdNGETXmwZFW/qe4itxNp5g6JJWXt9cw5atKXtrSwD0D+3La5+WXeStZvGMbdw0YyFiPh8cyh9EYrOWk/wi1wTL+dOhdjvt8nPb5mJzelxe3lzA5ryD0M70vFkXg1b3Mzx4Z5e6dmz2S35cWUVxTwcMbP+Wpoq840FDO0j2f8NjgiZGOBvf1/xE+XefZHV9x17o/8OyOr6gK+KgLNv0rv87/aJzN5WS7iwXZV/LJkV08OmwYk/qlM3vDFu7ekM9P81dz94Z8DjU0Rpzk39pdy8zhbSOv09wW0tyCJ8fb/y5nDTRMKbmm4+Xc3O3HLC8p5ERTIwt2rjln/IMjrSzddopfpfeK2sexxiauGzgfq2LHIiTzs3OYnJ5BfSDQKkdNKaM4GdpPPPVncOzjo5t4PusXeJzJ3NP3KvyGeQ4na4PRTxhjuPChHTFRJcRnqQgFGrb87Xm3uTIiUG5QX2yQnGnB3lZQmRdEmrHqiP8oCDszCopIsdu5K70fz285wE2fbeSxDXuZOnAYALklG2lU/ZhWndqA5PnCkzy14SCPjmgTiY+/SE9m6bZTPDjSGhXfHh9nR5M6j4w5a64frfBG2CcCwK/rEalDM0KvZavbK7xent9aTHUgSJPeRG52zllzcw52hSi5RXpyB+7pfzG/yn+L6758mckF79GoJOGwxrNyw1P4/KcZ3Ocn7Nn6CgETphT8iTvWvsnDm94jr3wfc7Z+zO0XZXO8qaZVabMZqAlVOVy6CIti58D7k9n/7h1opw+wb+UTbH//Z+z+3+vY99a1HPrzZBTDQH3pY8SKT+BIGbKmnuCr70Pjd2ddIOuNhc2JCABZZRBYcqqNrDcWfkuHcAvwrpTRDjhCCA8wEPj8jM12wC+lzAR+C7z2LR1jDGHEHr1dYAiakmRHkGWXO0I2KipoikbQPD+PBcOEzLZO7hidgg2BhuSVvdUYYXVEwFCZta4sKlkxa10Fyya06Kk1w2TmWVr4mRvWs2Ls+G98HJqhs+30PpaMHYFEIJB8dmwb7Z39//7gGL4TEIpCrfTx+YnPuabrD4lT1XDJ+7nyHM0MMDs7hbkbqlsqdoa3YcXOo5R7NWbmH2D5JX34y9FDLLykJzYUdGHSgBYxn2zWza88vperuvbnkY2rKfM2UuX3Mf+yy9BNSEUFU/BMVhqv7K2mXjMjT7ZD0pDTPDI8LnxcXt7ev48HMrKoDviIs7hwW9xU+Ku5qetN3LM2j1lDs8gtKo4qgZ9buJ1fjx1OfdDP1lNHWTpmPBKJIgR+PUBh1Ynw8cYzf/gPeKX0E4prjvCng2tZlnMXIFGFlbvy/zeqzdicrX/h5VG3fhtfXQyEqsR6JqQyY8g4DFMSNMU53H11125yR2cyc10FJVUB3i2t44XxHuo1nSq/xvKdx7ljQBpLLnMiDVrlbO7IAbhUHYmDO3tP4pTfy+QBo1hWUkRe2TEezDB4bJxCB6sNYYImJYlWlfZnaI5nZfZmRclWqgJ+Xhl/CX7TT4LNRrXfTxt3HCeamkix2ynz+iIcXT4uh2Vjx/PugW38+dieKD4CeJzJ/KRHNnvLP+Ol7F9gU9wxTn5PYJ400S1gSxPYuyh495skjpaojtbXEyLsTeXfbyIskDhAxRInOLU6iPeoibtbrMPGfwoMMzTP3TdowDlyiKc27WH5+FH4DQ2LAu2cbiavKqXcq1Hu1Vi24ygPZnakg9uORRGsPeEl0VrD4otb1qOaNcjReugSbyH3UgUDnRTFhmlIpvQZwJK9JVQHAiTarTw+vC9zNu2hzOsPz//pxFlUZmf1Ye7mvZHts7P6INHD/k9FLB87nkU7NnJ/RkakI9xre7Zx78ChvJh9M/dteJsybx139BnNnK3R7T4f3vwhvxn1Y64Y/SxNdYdRpclFPa8mKGWrJpYWofLKnjxmD700ItXwuOJ4Lns8HS0mna98DZsrlWBTJVpDyISyouh39Bv3OLvz5uBvKMMR7yH98gVYTQfaWV2/ZE09kQX8dwGG9DQnIpohqwww5P+l9ccJQt4OzegU3tYabgHuaWX7zcAHUsozpRfHCXtLAB8QMq2M4VtELBlxgUEgMRutfP6JP9IKafxVdpT485MsOVWY3CsFvQqwghIMvTbUUDDTTUmqXeW+IW1JsFmo13R+v6sa/YynH7qUpDoc3J8xOKptnH4e+lGXxc7FHdI50tAYae15cYd0XLFy3+8VdGmwtbqEQSlDaGNvQ4otpVV5TqLdjk3VWHJJGoYUHKjzsmLnUUqqQxn/cq+GguSnnXqw5oNg5BoY9UMrS8YN4rQ/QLLdSo3fzw+7pKNiZenIzuhS5819RTTqXtIC8Wx9L4C/TuJIFNx1Qyq1SpAl2R5SrBaqgzorSqtp53KTnpwCwMSeGUxd2dwGtJ5Z2Yks2bWWp4ZdT5nXi0VRWk2umBLqNB//79h2VuxdE3lvXFpvlo2+hnLfaeqDdbx9+A/cO+AWbu01Eo+jDZ/uXca6ox/y5ITPWl3YGDGN9rcKRQiS7S5qAl4MKc/hbnUgQJJDMnWYgx7xSRyq9zFn44EIbwekuEkKOvjrh4GouJ2bM4B4mxVdBvnwSB4/6jIc3bTxcEEeqXYH9w4cwoMDx3F/usAmJO2DKlv/6I9wd/LEFGxSsGrCWEwFTspQCXCZ14suJXZFpdpnZeHmasqb6sNyvEEsL95OSU0tZV4fAdPgyaL3uKPvWK7rkc7+hgMRPj6Q/iNqfWV8UPIcB2t28uGeZTFOfk+gN0pkI2hxIITA0UnBf9DEf8jA3a/1pZ+iAhK04yZx3RQUm8DVJSTHayg1YsmI/yAoIjRnJ9hsrcohdCmpDgRZunMzj2eOpNzbIkkrqW7iwbWlvHZZH+IVO2M6uritYzK7/leLxLaMG+x8tlcj/7ifUZ0UpqTb+PzjAE6nIGt4PEsGjURTdJYc2M3B+gbuG9yLZLud9k4Hbx/YyvU9Mli2cxf3De4VWZ8u27mLezL6hI8xFMvzyo6RV3Ys6vhv690Puwq/GXULp3yVJDtSWo15QdOgxqih/tgGDha/CUD/y16KdN1ohseViEVAldbEsl1fcn/GKBJtLny6RlurFeWxlxHJCTDpekSiFVu8B62hDG95MWXrl9J31AzsCR0xak/gcHuokYLA9J9grfcS//kGOFIWGq8qoQqlxiYwDFBViHNHkogXFFRRJlLVbmcmJESqCqoo+xuj/h42AxcJIboTSkLcApyTJQ93wUgGWpOD/BiYeda2Dwl14DgEjANKzx4Uw78WMZnGBQarYWX1J4FIj/vGesnqTwJYjfO7ebebKqJBUPm+xpEVfirf1xANArsZWkzYVMHdg9rz8iaY/nmQlzfB3YPaY1NbgppdUZicnsHiHdu4e81qFu/YxuT0jEif528Cw4SagM7zW0uYnLeR57eWUBPQv1MJ3hj+PuyKnal972XxjhIm5X3M4p1ryc0ZFiXPyc0ZgiL93L/+S/ymH10GWby1JREBkOayYTetFHymR10D+Z/qBHwSiyKp8mu8tbeMsgbBtM81fv5hgEe/NLm5+3A8Shw7wokIAH+d5NBajfZeK463oW5JEMfbMKdPe+r9BncNGMav+g8hd2NNVJXQvA11/Oyii9HDHhi6aUbOpRkelxNVwBv7Cnh8yNVRplaT+ozkldLf8csN9zK96DE2V2/jYONBntg2n4ONhxjS+WoGp43DpiitunPHPFW+XZhScqC+iv/Oe49HN33G7KyBZ0nL+gOSxTs2c7Ch+hze3tOvM6s/0c6K2xrtVCdOFQ42HufNg6so8zbwcEE+qXYH0wZlYRpxPPi5xs8+8CP9Ioq7drdANAgOrwiw7zk/R18OkFDv5OHB2Yz1dMAiBIbpYNa6irPkeNXc3qdP5NiV8CI52e7gtX2/i/DxWNMxDjceRrU4SLCHknKpLg82RY1x8nuAhn0GAjDDYUtNBMUF3oNfP/kKBawGEARX19BaQbUL7O0EDXtj/T7/k2ARMDtz0NfKJPbXNfH0pn1MGTiUWs1Pmiu6xWSay4ZDtbJkaxUPDWzLwY+CUfPyjvcCXNs9tK79UQ8rq8KJiNEjbNS8q7FvgY+Tv9W5o10fBPDi9hJ000A3dUZ7LuJoQxPVgQAzCgqZnLeeGQWFVAcC1GvN1Wgh36bWZBPVgSYe3vQBAcPP61umY5i+VmOeKTVe2jSdjuk34YwLPdA/Xfoez59lYrkg81pcTZXMH3w5VVoTD296hye3fEiyouPSQkntZqmFRTrpefUibPGh/elNVVgUG/WrXsKa1JnDwSD/ve4Drt34IXccKeDojeMhvRfWSdcjXS5k+Sm0F39P4OmX0V78PbL81AUpoRIJ6oP2KW1Pi9RQHBGpKvYpbU+LBPXBf3SfUkodmEJIYrEbeFtKWSKEmCOEuOaMP70F+KM8y3lXCNGNUGVF3lm7ng/cIITYCeQCd4T/Pk0IcRyYBswWQhwXQiT8o8cfw9cjVhlxocEksqBtRmO9hPO8ebcEBUff8ROsCe0rWCM58U6AHr8MTSqmqbAgX4tqqbQgP8iiH7RMKAYtbeOgpfXhy+Mu5ptClzC3cPs55e3LxmWf3wnFcGFD2nh6y1rKvCFzvrzyQwAsHJ1DrdZEndbEtqoSxnmG8utRlyMQOFTBvFE9mZV/gHKvRprLRu6onl97DaRY7ZQGmsgtPMD9g/qxaH10S7A5q4OsuMQRWfA0o/NAK0d+H4i6Fqr/FMR2Kzyx7RiLx/WmvKk2akx5k06CLZG39q0nNzuHgGEyO3NQhMuh5Mow7IqF3MwbQcCrY35KwNBRhcAwm9hcvQ0IuWPPHzqDgKGxZMRcKnyn+P2hP/PwwIc5fTKf54Zfx8ObPqDMW4fHlcjzw68nxeYmhm8PNQEv0zf8hTJvA2XeBpYWr2H60BF0dCVwqLGcrVUldHbnsHzMZZhS8OvxKby07RhrT9aS5rLRxe1ga30gap+N9ZJav47DIiNmkU6LnTKvl/szhlIfECwpMCIctiCiuNsz28qJd87i7R91jB/D/RnDsMhGfGb8Oc715U06iTY7HpeTJ4YPxqmqvDzqJ/zp8Pt8dOILxrXL5r7+/w0Iyn2V/Lb0jzycMYPrLvpvfL5THD3wwddw0vUv/AZi+GfDe9RACpDhZIQQAls7hcBxE2lIhHru01Shgj2cc3B2bEk+OTso1G4zMDWJYrsAn8LG8E+HXdHp6HagoDB/ZDoz1hdH5BCzMvuyovggKXYbvqCgY5yTF8f1Ycn2lpg4f3RPbIrC2hNepvSW58zL/jpJlzCXkmyCxnrJqNE2ys+JeSYL7hzONt8plhVvY1K/dJ7fWkKKw86szEHMO2NOnp05iGXF2/C4XDyemckbpeuYPTQ7SjYxe2g2y3Z9SarNjao4uTfndXzBWhaPuIllu9dwVZfBpNjjSLW7CBpVJNrbYEiT4Ve8hNUSh9cwkYqV3wy/AdPfiLWpliQgaHPStPIxFg/7FcKRjPTXULVuLnLEbERXDw3XjENLiUMROvb49vSZ+CZS9yOEQFGs2C5/mHrFwfR1H0XWUWXeBh4qXsVrE6/D7oyDxia0V98PSTZoSXDY7rsNEqKTLv9uCKsooKPtGvvMtIUY0oMqykSC+uD/wbwSACnlX4C/nLXt8bNeP/k1Yw8TMsE8e3stcFUr28sJSUFi+Bcjloy40KCE2iSdeTMWlyDOu4ZFmkQCejOCNZKwmTqGpNWWSmd2cDNMSWbbdvykd18UITCl5K3SPVFSjr8HU/K15e0xfH8QNMzIBJqe1J6f9smkjd2NQ7XiUFXsjjjSnG25e80qyrzeiKFee6eTZZf0xjDBxOD10tVMuejyVq8BXZhYFJUUh41u8W4qmrSoY6hokggFHInRN3V2t2j1WkgUCuVeDZuinNMdIc1toV5r4qNj20mwObih+wh+t3sXi8cMRxUKumny+70HKDpVxazMgRSUH+ba7n0QqASlgUVx80r2Yrx6FXG2BKoCtTyxfRFlvko8znY8Puh+JIJ2aYOoLN/MsuxrQdiwKirJ9jisMRnTtwrNDPH3TO66rVZsqqCdI46u7iyON5g8s7E84nWSO6YTDwwNrVPMoNkqZ5sMHZupRswipTTxuFwk2OzYhY2KppanzRoyirs259fwVlEBgSl1LEK2yt22TjsPDUkn3moJx2sLE7tdz8TuN+A36rln4+xoLkoTuy0ePdjEkbK1pDSdZHn2naDYsAhBij0OqyX6yWcMFza8x0wMKyiWluSBta3Afxi0Com9QyvJCAF2HYgLVUQ0w95WAWngPW4S1yMm1fhPgImBT4e6oI82DhfLxw9GoqAZJhVeP93j3VzRtVPYKL06EhPvH9KJww2NvLN/P7f16U2a20KFP3jOvOxIDHWLA6jVQtI2p11Q1UrMq/UFeGRDfmicRY144qwo3hPpHtTB5UAzTZ7IGoFFUfj06FY+Oradgw2neHHUNdRpfqoDIRkFwJQBl3JP/seUeRvwuOJZnHM1d/adwCMF+ZE1ymOZQ7kp40kam8rZtecP9MqYzkObW5K0C4ZfT4+EtqiOeEx/NbqviiOfTtko+SgAACAASURBVG05x3gPIgBHJ07goW3rIwmRx4Zl0cap0iW+AwJoqt7Pzs+mkXbpwsg6qhll3gY0EfJzkYYRSUQ040L2khBWUSBSLSP/3ccRw4WPWN3lhQarwfir7VH9m8dfbQ/XTn5zSIvEmhy92LAmC6QlFOitiog4GDejvVtgPUN75lRVbujZm2nrNjPx8zymrdvMDT1741S/+WIk1Pbw3PJ2y4WocYvhH0ZIbhBPelJ77h4wisXbi5m0ehWT16ymKShIsiW0aoZaH9So1RpYXPIxN3z1Ih8d245f8XPxWdfAxVfbsdhNVCSTB/bgZJOvVf6eNAIMutGOIzH0niNRYHWLVq+F6qAeKi0VQWaOSIjqjjArO5HX963C40rk8k59sAnJD7v24P61m7jxs1U8sG4TP+jaiRSHnXmFO/mv7v24d91abvziM+5dl8+JJh8Ld6ynXhMEzSAPFT1Dma8ydO6+SuZsX0zA9PNcwT3EtenF9q0LUBsPUbF2LoGaQ5hGrCT624RNURiX1j2Kuw/kr+NEk5ckWwLlXo1nNlZHySFmrq0gaBhopo9VlSfO4ez4q+0kxSvYVHh931/xOJPp4E7gscyhqEgSbEoUh9/YHSTjhhbu6sHWY3iDaWBRQArIO/Qb5o1uF8XdR0ekUhf08urufUzPL2RPbS13r1nN8SYfi7bnU+XXSbWFurk0c1Ezg8z46nqW7XiawUPuIaDVYA/W0WblDtrW6ViUWHLsuwRTl/jLTIIqqGc8crK2ESDAf6z1+GIGwGqCSIjmnaNdaKno/ZpxMXz/EDTt+AwDw1T49baDHGvUmLxyL7d8WkLu5mP8tG/3czq2zVxbweGGJl7dvYcfdO3Isp3FzB3VjneO1nHRtdaoeTnjBjsfHgp5of35YJDxV9nR9NZjXnWwxbPCrxuRNWVJdS0zCgr5Y+kBqgMa963dxM2f53FP3gZGth9AelIHqrQmpKmjSj8vFH9Bce1J7ug7ljlbVkZVIJz0NkYSEaFtXp4u3EJVwECTKt163hhJRITer2P6pvepMYIgwOZMYeAVi3CE5RchM8qFNFickUREaFwjTxdt5nhTDdWBWoK+GnZ+Ng1/QxnSX4PHFR91/h5XPLZmiZyqhrwjzkCzl0QMMXyXEWPwBQavLli0p5JuE2DMRCvdJsCiPZV49fO7effZgnS53R4J7NZkQZfb7fhsYSNMEWy1fSKixShTMyWzCoqiJBazCorQzqOswUKQ+Wd5B8zPGYaF8zPkjOHCRpLDzYLhVzCp33CeKSqKmtCfKSpECEGq3cGz2aNZPnYCz2aPJtXuwKIoCFHPLb2GnKHZtLPwrGtg4Z5K/IZCB3ccczfv4ZVd+5g2Uoni77SRCs9u2UWdU6P/rTay73bQ/1Ybb5+oJWmiNepaSJqo8qfjFcwe0ZUqfwNLd/8/pg6DZZcls3RCGm3sjczN/BELh04gQTZgIs6RG80r3M7tfXpR5vVRG9DOOuciruranye2rEPgiiQimlHmq8QXbKLKW8aSzQ8zfPBUThQspepwHsVfPEjQW/UtfGsxNCPZ7uL+gWPO4e7b+/ejCAud3AmtyiEadS+/2/86Yzp0PIezi/ZUYkgVUwpyh/2CV0ffiykNPjm2lnYuFy/t2BvF4S3lJl6XZOBPbIyc7ES0M0m71RLF25RbLNjiBAompjRoCtaS4pQ8mBXHkgltmTrUxdLibczesCXCzZABXQsnn96ylp/3ui1yHmW+SrzB0KK8ylvGb7Y9RU7mw8R/eRC5evN3rqVcDOCvMJEGaAooZ8gxFKvAkizwH2/9SWrguIkAZHz0ekN1CizxAt+JC/MJbAz/fOgSagMaczeXcmU3D/M2HYmYVJZ7NWoDeqsx0alaub1PL+YVbmdNWQWIAHcPTkZJliRfI7jo51biroYVh6u4boDC7651cmVvK2/uD9Lggq63Ra9bO91m408n9wIhHwiP23mOH9U9Gf14dMOW6LXqhi3My7qR3476MRt2zKdg21PMGTCE9yfcQde4lHMqEJyqLRL7m1Hm9eK02EG1YbElt2pyGfBWYzTVIISCO6UXw657nZyffMyw617HldyTYEpCJBHRMq4Rp+pCMwKYhoY/3F2jqmg5uYNyIgkJjyue50dcQbI9LJGLc2OddH0kISGSE7BOuh7iYrLOGL7biMk0LjCYUrL2hDfShrAZU4ec336CpqTG5aP9HTasKAQxKVd9xIUNLAOmyZLi3fxyRE8SrTbqghpLig/wVHa/yD50KVuVWJxPNw1T6hxpPMqycTkYUqIKwc7qvaTYupzfCcVwQUNVFXoktMHla2p1QlcQTE4fwtzNpWe04RoSMkO1Osnd+TwPDLyVNvY2GJJWr4EpQ1Kp1TVSHDZKqutZVlIS4W+q08qTm3ZQUlPPoQYfL22pjFoo7e4Y4OE7UnEKFUNIykWAK6zxLNu5k8eyMgB4aPNbAPx2zEQcFkmisOByxONEwSfPbfcYutGz4nE5qQmc7TbupVtcMqk2F5qp43G2i0pIeJztqA+cAkI3gAF/DQ2VxQChJyRmLFn3bUIRAkUoUdxNT07h5p79mLx6G/cN6tOqHCLFHsetnSdgfg1nJw9O4bTfy6ObV/L4sGy6xMVzVeexVPoCrCk7TZVfi4rB9YbBDV8Vsmz8ICbnrSc9OYkZtw+im8OFoUiO6E0s2rqTOSMGE6c6GdnjVny6zrT8c2W4zdxsNnQr83rDLXcbSLC2mLWdyUUI8dGsqUNuDPHxQi4DjqF1+MLJhgAQd1Yho7WNwLfPxAxIFHt00sF/zMQUQLRfIQC2ZIG/PMaD/xSYUuKwWCnz+kmwWaO6ZQDUBIKtxkSfESTBZo3MlxU+P8l2iWlamJIfnZT/+HADb1/dCcWiMaGXitNl8sKebfxwYnf6JiTjkzrvVJRwz8AMJl50EfVaAKeqsmT329w7eBSJNjdJNjdNQa3V+dmQEl1q9OtxPYdPrCTOasWq2NCl4DdjrkczDCyKQn0wAEg8LlfUHOBxufDpAex6LRAym061uflp75ZuGQ4ZpFYIgt46bIpKPCpCgkCh2nscU7jxuOKiEhLjPJ1pa09BSgs1iqD3dW9yMv9ZGiuLYf1cXsy6F1tCZ6g5RlurDUWErlOhCEhrG/KIMMxQRcSF2k0jhhjOA7HKiAsMqkKk5LYZaW4LqnJ+JgsSmJ6/kytX5nPZyrVcuTKf6fk7ad6LRQiqAxqPFGzlrjUbeaRgK9UBDYtoCWoW8TUSC/HNA1+C4qJLXHcm5xVw42ermJxXQJe47iQoMTO07xtUVcFhseJxRX+3HpcLzZSRRASEWoPN3VyKP9BAQ/1hqrQaphc9wc/X34MS1sGfiTS3BUXAzPUlTOrfDYCSmnoeKdjKU4XbOdBQS0lYS/mXwyfIHd0+qnT95wOS8NqCPLG7iEu/+ozbvlzFjILNVAcCnPDWMbn/JaQndcDjSqRGq2Z64Vz2NBxk4a7XqAzaONLQ0Oq14Nd15mUP45Mjh8455+qAj3vSR+I3fDw+6H48znah95ztmJNxL1+UhlpZp7o8mP6WJy6OeA8iVhb/rcOmqlHcvb1Pf+YVhjj75p5DzByRGsWp3NHtOHLgLT7/4mdfy1kTidtqpczbyJyiDfh0mLt5FwHDwONyRDh815qNLN6+mwpfKFHn10ML/KpAgDpLgCnbCrj0y8+YtHot1YEAEtAQPFT0DBLja7k5KzODN/fuDm9zoZsGHlc8PiO04PY42/H0oPsjXIQQH9XGlhuPWBnwdw/+chNhBUOActYjJ1tbAZJzqiOklPiPGgRtYLaixrClCAKnJKb+t9cisqmWwHtzCPzpMWTD6f/rqcTwb4JdVfHrQTwuB/Va8JxuGZ8cOs3cUdESsWdGtyPJroQ7cIRi0pt795PqsOPT9VZj5L66JqauLeSpwu0YBDnYUM+c3RvZ5Ctn0qYvGdQ2jUpfE3et/ZQXdm7CkEEm9bmURSVv88v1i1i6+wMSwoa9Z8LjcnKksYLrVj3HY7tWkdH3TrxKO3617iMe3/xXDCl5ZusG7lr7BS/sKCLJ5uCprOGROSDka5VDB1ccZcdWcvjAu7yYfRNTBlzG4h3buWvNX3luWxGn7cnM37mSa75Yyi/WvM6BhlMc+GwG1adLqGo6znslucwZlhXp6jHO05n/7juYe9flc/3nn3L3mtWUK8mkjH+auHbp6L4qkjFQvppPqisei+ssWYYiEAlxiOSE0M9YIiKG7wFilREXGCzC5JnR7Xk03K4tFODbYxHn90TCkJJhbZO5rXcPVEXBME1+X3owYlBpETAvZwCzCkoiT6rn5QzgDK8rbIpgXs6wiFTD43IyL2cYtvMIfrVSMvMsqcfMgiJWjM+h/XmdUQzfBSTb7TyfM5qHCtZFTKAeHZZJYzDYaq9yX7CJnTteZsGIR5leNI8yXyV5FV8wb/RlkZaFaW4L80a357MjJyjz+unoduBxOSK8zR05gNdKDgOhlmOTBnTj86MHmTq0LYk2O3VagNf2FDNt8ABu6d2DfXUNET7PykxneclaqjQvDw8ai9MCL+5+iTJfJQnWeH7U+WpmbCgg1e7g8azBzNm8nRS7nTv6DaBLXHzI+0QEmTpwKABryk6Gja+GY0qDp7es59ejLia3eBEPDvglCdZ4PM52vLNjPgdrdpLq8jB1+EJqN/wGaNGZWl2p3+r3FsO53E22OyKcLampZ/nOvUwd2p2LEuOwKAaHD7zF5uJlAAj9JPNGe6I4+8yo9uhmkGC4yqXM24gkVGGjCJid1Ye5m/dGOdS/s+8YuSMHIND54+VjsSgKQcOk2h/q1NHcxeXFnWuYljGSVFsyVkXhieGDeWrTNlLsdqakD6Kdy4UqoEZrDI9zMS97JJoR4IlhYzGo48OLX6Gh8ThOxUJdIHTTmOrycF/WQpwf7AqdV6wM+DsJf6WJJUGAJlHOqoywJAuEFfxHTVw9W94MVktMLwQTQLSajAiZWAYqTZwdvt43KvD+XMxdq0LHceoojsn/g4i1hf3OIcXhoKM7yOys3vyp9CSzhneNSDXSXDZu6t2W9w4cYerQdvRIcIMweX3vFn7YpQe9EhNZNGo4Zd4ADtWCgkLneBuPjmjDMxtPR2LkoyPasHTnnnD8683SHbuY1C8dh0VhafGOsG/DZmYNHYbHFUfuiLGoQkFB8NucRzClgipAVYLMz8lkRkFhS2eNrP68tPttAMp8NZR5G3hu+wbKvA08MHAMc4qifRweKPiKx4bm8NCQDDq5k1AEuFRB4Z43yc74JRbFig8n96//S9S4RzbmcX/GIPLKSynz1vHI9i94KetXCKsdiwW2la+m3l/FnKEPkuTogE21c/eavLO8KYp4aEg6vX/wAgmmhoqC+/JHUd3JCBG7dmL4/iOWjLjAEJQmfz16kgXjOoVaBErJx4eOc+NFHc5rP05V4aaevXj0q1D7zvZuwePje+FUQ0/cdCn58tgxFo0ZGOmU8fGhI9zUq3tkH15D570DpSwanYUiFExp8lbpHn7etx8p3/A4dPNrpB6xdhrfSyhC0DMxkVcvvhTNMBCRWhwlkkBohsflIBioxuc/jdtfx8sjnqbaX4U3WEt53RcsnXAFugmKgM+OnOA3uw7jcTmo8Pq4b3B3ku12EmwqK4+XMm3IAO4Z1BNTmtgVhW2nqxnYJgUpdBAGVf4AAdNgSfFG7huUQYLNTprTzat7NlJcWwFAR3cSjcHwzZuzHfXBBhKsaZR595Fqd2BTFZ7MGoJDSWDOao2KpkDYq0LlT/tPckf6EB4YNISAYfBW6R6u7No1vGhRKK7dy/TCuXic7Vg+fA4TOv+Iq3rehq77SLKlkDZqBjLnQYRixepKRTkPk9gY/jk4l7vRnC2pqefF7XtZMroXn638OQ1NZZGxfr0Om8XKC+PTUIRAFVCt+Xit+AhXdg9FS48rLtxNw4kiBEt37OK+wb1o43Dgtlrw6wb3D+7Fp0dL6ZmYQoLNTr0WoEtcPPcN6h15rQqDvPJD3J8xkqn9ptAQDGJVQtx0KQk8uVqjoskf9gFyMnvYKLyGFyElbRxuHt36HFVaDcuynuTtvLvomDKQOwbOJDW+GzaLkzhrEsqNneC6S2NlwN9RBColllQBVRLVEv3dCUVgbSfwHzEoLxfU1EiEECRVhWK14fyayoiwjt9fIXF+zXLEPLEbfdcq6txxGCJAfEUxljXvYB0/8Z96fjH866EIQef4eOItXh4Y0hMFwfJL+lAd0Kj0Blixcz8lNfUUnarhoaG90Uwffz66j8LTZSwbczkBQ+H5wpOR5MWcnG50iLPw0iUeTAmqgBPeeu4Z1J16TWNF8W5Kamq5d1B/nthcQHF1NRC6WU9zufn1qAksKV5Pld/H1P5X8vRXemRtO22UYH3FcV4aOwKBRBGCmUWvUlx7BID0pK50drfniaGXUx/0097hatXHob0rHolBhbeGZbtWMXPgaAr2vUFmr+uJd7Wj3udtdVziGW2Py7x14EzG9JWhO2ykujwcrN3J4vU/B+ChMe+27k2h2tCFij0+7Z/9VX6vIIS4AngRUIFXpJTzz3q/C/A6kBT+mxnhdqAIIWYCkwADuFdK+Xl4+2GgIbxdl1JmhrcPAlYAccBh4CdSynohhA14GcgETOA+KeXq8JiJwKPhz/5YSvlIeHtX4DWgLVAN3CalPB5+71laWos+LaX8U3j7JcACwAYUAZOklLoQIjm8r56AH/hvKWVxeMx9wJ2AAH4rpVx8IZzL30Ms5XaBwaJIRnZIZtq6rdz8+XqmrdvKyA7JWM5TphE0rOEbptC4iibJnNUaQSNU/h2vmlzWpSPT1m1k4uermLZuI5d16Ui82lKBYRGCwlOV3PLXz7j5i79wy18/o/BU5XnJNGLdNP7zoAhBqsOBx+0mzR1HmjuOtk47z47sj8cVEiN7XA7mZHbi8ME/MCH7KTZsX4Kv/givb3mUFRun8bvtT/LJ3vk0BH3ck1cUSUTMzurDyyV7eHF7CYbUebroCz46tguDIPfmf8rEL9+jOuBj8sD+vLjtEJNXbw/9HNg/4kj98MaveKpoDYcaa7iiSx/Sk9rjccVzqOE0swr/zJ29f8bjg+7nd/vfoT5Yh8fl4vY+/Zi9YSu1AXnOdbVovcHV3dozY90BSmsbmbZuMz/s0gNTmnhccZiEVvYeZzueH/Youw68x7v50/l44+Mk2FNxKg7s8e1wJHbEHt8uloj4N+JM7rZzOXhu1MAozj47sj+HDrzFJSOeIN4dck2Pd3uIc6Ty0Z5FeHUfU9cUcd2n+cwu2MXE3h15o3Q7Hlccjw/LxiKC5A5Px6/rVAcCzCgo5I5V6/jxF6uZtaGQcl8DGW3SWLxjB3evyWPxjh34DZM3Sndw19q/8MLOjdhUlXFp3VCFwpwtn2FVLMzesBXNUMOJiBZuLsjXKW8yiLc6CZgGmhmgSqvh+WGPsvvgBwA0+U+TYE8l0ZJIoiMVVVVjZcDfYRh+id4gUcPGqGdXRgCIFIHpg515Onv3GOzZrVOz20Czg7SA0YoUw5oUajH+t3wj9E0fsNMDW9s3sqtNkPIE8H21AqlpXzsmhgsXihDE4ccdrKC+dhcLd3yF39B4cfs+Smrqw3NyX5LsaiTOzR8xngqvxsz8g1GGl48XHOZgvZ/rP81n6poi6oMB3t53iMl565lRUEhJTS0el5NKnzeSiICwvExq3Lv+z+SVH+ZnvUeyYB3Rc3C+JCM1jalrNmJIP4ZsoCoQkm2mJ3Xlnr43cO+6tdy9Zg2LtxcjURnn6Rx1rh5XHPvrK7jhy+VMXv8WVVoTXn8lSS4P1Y1H8QZqsClqRG5x5rg67UyfiURUI0DN5tdJcabxyyFPkeoKzRWpLg+JtsRWpaw+Q8PW2sUaQwRCCBVYCvwQ6A/8WAjR/6w/mw28LaUcAtwCLAuP7R9+PQC4AlgW3l8zLpZSDm5ORITxCqFkxkDgA+Ch8PY7AcLbLwMWCiEUIUQq8DwwQUo5AEgTQkwIj1kAvCGlzADmALnh47oKGAoMBkYA04UQCSJUEvM6cIuUMh04AvwsvK9ZwLbwvn5KKDmDECI9fGzDgUHA1UKIXv/uc+EbIFYZcYFBSkiyC14YMxgl5JmOIX2ch2ckEHJCbg7WzahokhGZRsCop6axhGXjRmKEs9SHq9fTzjYAN6FgG68K5mePZEa4JaPH5WJ+9kji1W++OE11OMjNGRaRajSXGac6WnHIiuF7C1VR6ZHgZvn4YS2+S6KB7hnTEJrJ5dlzEELl7qFzWb5lNlXeMnaf3sgPep7mpbF9EcKOKgSKkDw1YgiVvgaWFOdRpXmZPWQca8u28eyI8TyycTVeXSe38NBZ/hR7eWz4RUweMJSACZ1c8VT4Gnn7wC4m9RuOTYFlu1ZS5q2jm7sLi3Ytobh2L38+9jG52XejGaHy+kSbvdXrKsFmodyrkWC1U+b1MbdwO49lpfPsiPEkWq18OP43CFMnWH2E4b1uJqvnjSiKBYewoVpi/ikXIhQh6J7gYsX4THRTYlEEqQ5Bx363gzS4/tJXkaaBEAqKaufavncSpIYZWR1o70jGoggUYfJE5ihsioJqejm2bTmNNQdJn/AS83OGMeOMuDg/J5MUu5V9dfU8nplDvRbgzb27mLWxgPszMnhh5yZmDx3JkuIi7hs4BiElZd46vGHztnZOFxVN0Td9FU0Sp6pSG9Bo53BhUTRWZD2JaKxmxEW3kNXzJhRFxaE4US3Or/lPxPBdgr8ylCwQ4bCinrXKa/JLtlSb9Ad6OAUJw1WMRon+V4OTcRD0QmIrj6mEIv6miaWUkr2HPmJfsqTBCm4djESI99fj+OQtbNf94p94ljF8W7A6k9F1P66E7uSVb6DK72Vm5ig6uhNQsIaqHBTJvOFjkQgW7djIj3sNPsfwstyr4Qgn2su8fmasL+alcYPYV1cfiYFPDh9EvNUaMZJsXnP6jaZI94sEq7vVOTjRZg9X4Vp5rziXBVkPMH3z7/hZrx/wTNG2KFnErI0F/Hr0WErraijzNuJxxfHsiPG8snc1EEooPDPkBxTvWcY1WU+wcudSbsyZT7IrhQU5lzC9YGVk3PwR43h1b15k3IsjbsKKBfe4OWBNJV4P8HDOMkxp0uStYHfxUp7LmcLDBS3r6scyh9HGYSPZ/v2Sw8mgmSPrgwsxpQdFlIkE64PCqpzrtvzNMRzYL6U8CCCE+CPwX8CuMz8WaL4BTgROhn//L+CPUsoAcEgIsT+8v791PL2BNeHf/wp8DjxGKBGyEkBKWSmEqCVUWSCBfVLKZkfoL4EbgK/CY6aFt68CPgz/3h9YI6XUAV0IsYNQsmQVoEkpS8/4/JnAq+Ex88Ofv0cI0U0I0R7oB2yUUnrD/5884HrguX/zubz9N/7HwAWQjPgGJTfTgDsAHThFqBzlyLd+oN8STCmpD1iZu6EyoqubnZ2C23J+2QiLCLU7PDNot3eHyocBDGny5cHfc6Wq4rYl0qTV8eXB39Mr+ZmWY9GqsdcdYvnY8ZFOGP5TWzDVHuD4ZkHToij0TIhj+bhsdCmxCEGqw44lpiH9j4IpJYfrDR5ZWx7h9fyRben8UR4U70ft6iH4i/Hs3biYuzIexO5si83qBt2P1VrPhjWPMzxrOvl//jmdLvovPIN/ydNZl6IqAgVJl7gBOITKy2OvQDeVVv0pnKoFRdh4Zn2LT8qszAw8biuPFX5Ace1JPK5EqrxHmdh5LA/0/wVIyXtH/x/XdL4Oj8tJnRagvdt5znVVr+mkuWxhV+6QFKm9Mw6HrANDY2feo1Sd3hl1TNde9xFWVyKq5d8ehmNoBaaUHK4LRnH22TFp9EhKibibRw8waUDywOYVlPlqIps9zmR+m30nBW+HKhedcR6U6l0YBct5aeR0RGIXFEXBrgpO+XSe33LoDH4OYUXJVronJPFARhbLS7ZSXHOKBzKykMLE40rkVKAhLP2QrcZ8n2EQ0P2k2l3UV22jdMfrES5ee91H2A2Bao+L8fB7gkA4GYGzuTKihataUFK0VycIyGSwn5IICRwLcaZND8GJY5LGBok/IHGc1W3DmiTwV7SejDDKS9mYqnHcAQg4ZQ21Fk1NhMTNb2O95DpEYtI/+3Rj+BdDCAVnvIdGbz0eVzzFtRWs2JXP5P6XknuG/0Pu6LYk2A3yyo5xVZe+pLlsUQmJNJeNeq2lS1SZ14+UkvsG9yTB6qQ+6OP3+zZx78CR/Hr0GAwpqQk0kWQTmNKFxxVPmbeB+mAT7d1J58S5Os2Px+VESo1t5au5feAjvJRxLRZ3B8q8O6LOqczrRSKZNSQLq2qhTvPSzuFg+sAfcn/6D7EIsIkm2g6awsY9b9LoP41FDXW16JmQzGvjr8KnB9lXX8G7hzZxVZeB3NprOIZpopkOpkXWGCd5OqsLu9bPorIqFHPj3R5yhtzLqxdPwK8bKAIcqiDR7mp9XvmOQgbNHHnS91Hg5f1tZJWGSLV1s/+q10d0cF7zf0hIdASOnfH6OKEn8GfiSeALIcRUwA1cesbYDWeN7dh8uOExEnhZSvmb8PYSQkmMD4GbgOZymu3ANUKIP4S3DQv/XAn0EUJ0C+//WkISi+Yx1xO6370OiA9XH2wHnhBCLARcwMWEkiunAYsQIlNKWQjceNbnXw+sFUIMB7oCnYBi4Jnwfn3AlUDhBXAufxf/1jvCb1hysxXIDJeDvEsow/M9ho25G6oj7ZLKm3TmbqimhQPfDFY1yOPjbZEe9iHPCBtWNTQZ2FQHN/afyh+KF/Lsujv5Q/FCbuw/FZvaUrGgKBa2Fj7Ll++OZdV74/jy3bFsLXwW5TxKyUxpUt54kAX5N/PYl2NZkH8z5Y0HMWWsRdh/Emr8LYkICPF6xvpTNF33g5Bb/5EyVB38vtMUrJzO6k9+xhcf3kj+qodorD2A33caqy2OuiCjEQAAIABJREFUpLbpJPW9kkUbJjH7y0tYsO5WvA370d+bRvWvJ6DUHwHMSGl9MzwuB06LhRnhRQKEFkPzCvehmyKSiHg261oKj3/EOzufp6nhCHZT5wrPSJbsWcqszN58cuQg00aJqOtq2kiVjw9XMG9UT9adKA9/npOKxn1M/+pq5uXfSe+sqaS2GRg5Hrfbg6JYYjeAFzBa4+wja8up8bciqCfkbbJ7Yy7zBl2Px5kMhBIRz2f+FJcMjXHGeRgy5kmEUPCV76Ti/Z9R/e6txJ3cTNCgFX6WMqlfOofqa3l4wyqKa06FpD9S57niJcwecjmfHN3KrMwBeHUfT5wV86ePstDerfCXw0c50bCbFbsXclHmPaS2GRjhoC0hLcbD7xH8lRKUkNwCortp7D5i4AtA3w4Kts4KaBDcYqDvNxFtIC5JIcEF0oT1hRrmWSWZtiSFYK3E1M59OLJq1XSOO8BhwoDatrh1lTI7HHNJvLZKtE/e/1eedgz/QgihEK9C7tCxeFzx/LR3Nrkb66Ji48x1pzCNkGzhjdJtzBre6f+zd95hVlRnA/+dM+32rSx7kd4EBAQBCyBixZLE2PJpvkRN7CZGicZPjRFLYq9JNLFGTTVqjF2xISJIE8GVJiJ9Ydl+97a5M3O+P+5l2aUIJEqd3/Pss7tTz8y8551z3nlLawWOypDJ9Yd0488LN35HjIcCaFJw36eTuXjKc9z36WTO6zecB6re5rR3HuTyj/6KQ4o7P/s9bmoVdx58HPFQlKcWT+Wq0bR/B48SvLp8KbcdNpS3l/yRslCcTLKaua+ci9OyZothEUsT6/nptL9y0ZSneHXFXNalc1wyaR6nvz6DSybNY1lLlmfm/57+PU7i+4f/npCV1+n5UL4gQV1yX9VEXloxl6tnPM9FU/6C7cnNdPivZq5g8KD8R+RoOM5JY+4jZMUoCwTZLxIhHo5QEgjvVYYIANWcu2eDIQJA1dlkH15Srppz93zDpz4LeFIp1Zn8ZPzPYttZQEcrpQ4iPxf9iRBiTGH5j4FLhRCzgSiwwbr2BPkJ+izgfmAq4CqlGoBLgGeAD8jnZtgwYLgKOEIIMQc4Alhd2Gci8FrhGH8n76nhKqUU+bCS+4QQM9iY0wLyXhHFQohPgMvIz5NdpdQC4A5gIvAG8EmbfXbZtWzj3gO73jNimy43Sqn32mz/EfCDndrCnYzneZRZGpcP7UDM1Gm2Hf4yvx7P27HJe9r1ePaLJfzm6LbVNJbwowHdCudxeHzOBOpS+SRsdalqHp8zgV+Oerz1GJowOGLsXbw/6Rckk9WEw3GOGHsXmth+w0gi28AD08e3O88D08fzqzFPUxTwKwbsK+Q81a4eOeQHMDndwPjJWaAUnmUwduzdTJp0Vau8HTZqAgvn/50jxt6FboQZdPTt3Prh+dSlqulZPIhxfcaTlh0Jfut+9Gm/Jxcp5vHPH+O2kT/i2qnzW78wXz+iL5rYsseELjWeGHMWtdlaHv38Cf632zEc0/N7lJilmMJgwVtXcMmQHxM0bH4+pB8Kj7vHmTRlXQKaJO3ZnNijmD/NX8qJPToyu7aWCSP68vJn1wN5mf/jJxO4dMi1fPj2z/L96Mi7CYbKd9r999lxtiqzW0m+GwiWcuCBFzJ37iPc1e9UjEA5oUARIc9B03TGfOfPZJLrWDDrdwweMR6AWM8jKR59A82ZDJqyKLXMdjJancrQJRLlt1X5DzrxUIQ7Dx3Lc8v/zfs106jL1nNu7+8TNXMUGUXcO2cBV4zqTkUw7ylRn02RdeHMPhW8Ov8G6lLVPDz3Ji4dci1FgTJfBvdCsutcjCLRmoRyQwqamgaP6npFlzJBLCggCDIucFco0EHvkR+vm4YgpynW1SsWfu4yoO/GYaKxIYlljUeo88aPEp7nMlusRgIhBfXBBkzhkgRWBaE6CtFPXsMbcwyyc9edcRt8vmYCVoz9sk3cN2Q4ZqictcnV7davTTogdO4feSzVyRwhzeL+Mftj6gpNQDLnUJ/Nz3/ioQC3HTaAnLOO3486AYmBLkAIl5O6deOs3oNpzjXx4MKHqGpaxM/7nYMz+xEeHXkpOQWm7nLlmAYsGSKsB0h7zZzcOwQqH975k2G38fmH+TmvUBl+Nfwgbpn1cWtYxG2HHsbji94rtKWInx1wLJdPnt/OiHDLzFVcO/QsHpkzgetGPYbdsg6pmRjBfIWLEivM3QefxlUznqc61UQ8VETnUAnVqS/a3ZfqVIZYbDDnnPwqUpqEAvtIhQxPxTcYIjag6mzwVPy/OOpqNn7Rh7w3wOpNtjmPfGgASqlpQogAUP5V+yqlNvyuEUK8QH5uOlkptRA4DkAI0ZdCYsZCGML4DQcSQkwFFhfWvQy8XFh+IYXJuFJqDXlvAoQQEeA0pVRjYd1vgN8U1v2tzbGmAYcXlh9HPtQCpVQz8KPCcgF8CSwtrHucfCgHQohbyRsa2NXXsi12tTFie1xu2nIe8PqWVhRu1IUAXbvuuS+7gCa45MCO3P1hjnXJXOHrVkcC2o4ZI6QQzF7fwCvLP2xdFg8FOE/kjREuTquBYAN1qWrcNkYs4bnUfz6RY47+XT4LlueybuFLRAZ+f7vbkfNsDu9yKiO6noan8l8PZ654HsfzE1rB3iO328KQgsqw3m5yVxnWMXSJjBYBeTet4mAfjjv+MTKZegwjjJQGffY/jRnT7yCdrmXUcQ+2GiK+0+9e7vww2JpR+8ax11IssxSZMaase50/jD25NTRIF4oVycQWK3o4nkvMKCblpKnL1lMZ6U48VIkUkkyqjmy6jvlv/bx1n4puY+l66C2c++70za7zZ4N78NDhQ3hs9s9Z2rgxLKMuVU20qDvfPfUlpNAx9CB2cn27wc2exL4gt1uV2a0kdBRCEgp3pP+A7xMMlqNJg2RqLVNn3U86XcvIkRNYPO9Jsuk6rHAF/b73V9YavbjinRzrkmE6hm2uGjWQ31dV8VlDPvla/ush/GzQMH7Qtz/12SSPLpzEuX2P4bAOh6JLi+ZcE7d9ei+/GXoLk6trmVxd265dz4w7iOfm3dAqjxtksTjYESl39RBg57EvyCzkPSPMYkGuILZSh5yjqFrmEjJhv9KN8qv1FsgKgQiCMPPLhQQUyKIMny6y+GdmATLqMDhSythofh6R3cQY8fKkK8hoEHHhwLU9Kc2U8lHXT0gLhyYdlkUVXZrXor30HOYl4xF72Vfgb5LdRW6FkMRiXTC0GlrwtqgbdSlIZEI8ODVXeC+7XDsGwlYdXvUc/jD2WBylkCg+X/8OpeHuFIeKAIGXacIIhrhn/oNUp2tajxsPVmA3fEm64Quw1/H2lKs5dORvuGD6dZu18aUjH+OKwTfzxYf30Li+CgBXD/C7Bc9y+YHjKA8UEdYtXOVw5aBxXDXoGJY3zSfrpLf4oSJm9c6Pi5VDJlGD66QJxDoTKuqKFJKuhsbvBo5Cj8TRNJ11LSu2OMawdINo4L+Zg++BSFEtyszubQ0SoswEKaq/Yq9tMRPoI4ToQd6QcCaw6YRkBXA08KQQoj8QIB/i/xLwNyHEvUAnoA8wQwgRBqRSKlH4+zjySRkRQlQUDBSSfGLMPxaWhwChlEoKIY4lX4Fj/ib7lACXAt8rLC8H6pVSHvncD08UlmtAsVKqTggxGBhM3rOh7bEs4P/YOMkvBlJKKZt8GoPJBQNF2326kjcYHLo7XMu22GNGwEKIH5BPqnHXltYrpR5RSg1XSg3v0KHDzm3c14ijZMEQ0TYjeg5H7dij0oXg+hH92mWCv35Ev9ZKGJrQWzP8bqAsFEdrk1xWCJ0OXUfz2Ws/Y/bfT+Wz135Gh66jaZ+A9qsJyCj7V36bS6a8xKlv/ZVLprzE/pXfxpLRHbqevZW9RW63RUlA447DK6kM5yc/G+LvSwLtZUlKnUCgDIkkkVjFW29eyHvv/Iza2k9JJqtJJlZRFoozrs/4VkME5PvJjZNsPm9q4eQu32V0x+O55P2pnP7Gu1zy/lTWZ23m1K7kuhG92/WJWw8bwIOfzeKMt17k1o/nc1m/KwhKC1kwDljBEg455l6CkXxfCUbiDBh6EQFN22IoiKGyuE0LaLLbTwjLQnFMYRKJdEJlm5n9/P8y7a/fYvYL55CsX4Law8KW9gW53V6ZbYtlFWGZMRKJVUx880ImvnFeq+xOnXoTfYdewCFH3YVe30wi7XHDpE11vcv5A/oAG+TzAAQOP5n6V87/4EmunvEsdZkWsq7GrR/P55LJH3D/3KVc1u8KdMEWZbIutaydYawsFMepX4aXaf66b9luzb4gs15OkWtQGCUCJ6cQAqQULFzhYuegd6Vs5w4uhEAWiVZDBMAXXgLH9Xg88DlJmaNyTWdm1rfw+xWLOXvFFJRQ7fJGNLSs4ZP1H2J4EE/BsNVDWdJxKRHPIuwKELAmCA3BNN6X8/A+nrFT78mezu4kt0JIguEKYl6C20dXtNONt44qJ+dJbt5Ep902GRqyilzHEVw05VlOfetPXPLh83QpHYUry/nph69wylt/4eJZk6hNpfn9wbcQD1YAeUPEnYOuoG72E3QZcQGvT7maRLKaXLaxdZsNxIMVmM02UT1CNl0H5N/XkVAZddlmnlryJhnHYfzUd/nfd17j4g/epMHO8tGK5zA1Y8uhnUYory9bapjz0oUs/uB27GQtuUwTAFJI1rx3PYv/diJ27Vwmffk4vxrReZMKTAdQYhnf3EPZTREx40rrot61oizvSS3KTKyLeteKmHHlf3rMwlf8n5JPvriAfNWMz4QQNwshvlPY7ErgAiHEXPKhAueqPJ+RT6Q4n3wIw0+UUi7QEZhS2H4G8KpS6o3Csc4SQiwGFpJPhPmnwvIK4GMhxALyRoIftmnmA0KI+cCHwO1tElCOBRYVjteRgmEBMMjnfpgPPEK+TOYGK98vCueYB7yslHq3sLw/UCWEWEQ+tOTyNud/vnCslwvX2LibXMtXItSOlmn4GhFCHAbcqJQaV/j/WgCl1G2bbHcM8DvgCKVUzWYH2oThw4erWbNmbWuz3ZI1CZezX8hstvzpUwJ0im6/EaAmlaQ2k6Mx6xLQNTKOS7GlUR4wqAiFSbesoy7XyLpsE6YexnaSdLSKKDOKCUY6ApBtrmbNjEcoGf5DPCmRnkfDrD/T6eALsWLbZ+Vdm0pw0QcvtGZCBoiHojx8+ClUhvZYg8Q38llnT5bb7cFTioaMS85TGFJQEtC2GifpODbpVA3/fuE77ZaXlQ/igFHXksoVcdnrm1cMuut4h5TXzN0fLy5k1s4TDwW5d/Rwbpn9Fmf3PZiYGaAyFOG+eR/xfvWKNttFeHjMODoEgmiFr8ZKeWTTDXiejZQmVrAEheCLpiRXf/hpayjInSMPoIvlgHKpydXx2xlXUpeqpiwU5/IR99Ap1gc328jCyb+hrN+30AJFuJkm6ha+Qr8xv8QMfeNhS77c7iA7IrMbUMqjJbFmM9kF+O4pL2LKIHgODZTxg39v7iH2+MkmdXaCZtvmtWUruWJIf05+67et6+88+Azunze3Xb37eCjCY0eckM9z0SZB6x0jDyCq1XHPRz9tlcWfDJ4AVa9TduiFeAJ0zSRklbQa4HZDvna53VtlNr3G5fPfZqg4ymBdg8f65S4VgzRmLXLZr0TQrcPWn3HCy3FLejEDass4sr4Dd/WaT0UmzDGN3ZgaW0tVuA5Elhvn96MhaFP0P5Jju1TwyJvf47PUClqkQZdEkLHru1FfsQSAlLBZbdoIBaNqYVh9F4xUV/TjvoUcNARRWo7YO0sZ7xW61lOKhmwK2/MwpaTYDOBmGnGdLK7UWFW/Gt0qw8nWUVLWi5qUwfjXN59TPH6yxs8++me7ceB9h32LO+e+v9nY8LHRJ5NOLEULlWFIg4CQuJ6NEBoTP7yWmrpPqSgbRL+hl3Pdp7+lOl1DPFjBvYOvpatVCsJDoVDKQ+omrtRYmlhLs6tz5yeb680HRx1B1s1Qbwe4deaSjcmDR/Sm1Mwgc7XUfXA/iZq8p0UgGmfodx4lEI2jlEeyfgmfvvFzjGAZpaMv4+Wlf+OwrmcRMSsoDhRRqgssK7qneD9+rXL7DVTT8NlL2dU+mtt0uRFCDAUeBo7fHkPEno4UisuGaRxfaSI98CS8sdZGih0zGtmey91zP+TsvgcSwML2stw9dy63jDgcACENkiLIjZ/+k+p0A/FgCXePOIdyudGCK3QLc/B3eHLKZTSmqikOxTnj4F8jdGu72+F4XruXDUB1KoGzgzkwfPZ8pBCUBbdP5ei6iZQa4XCcZHKjV18mXUso2Uwg2rm1csCJPTXO62tgIZA6NJoGpZbFtQOHUGxYNOayPPz5AqSQVDWu4+oZLxMPRbn/sG+3M0QAVKdaWJduoslupHcsjiZ1hJAENjEUCKBXUZjHjh5GzvUwNEmxoSPW1ZJ7/F9U9O3K9cc+gmOALg2igTI0TSOnXEoOPJNnZ9/U2qdOGzYBT21Xjh+fncyOyOwGhJBIqW8mu+FwHKEUdqaOpbMeoXzkb+gYFpQGBD8YaFBkCgK6Iu4KOnpF2IbLVGMdSgnioSKqU/mvcUVmqN2AGvJyuybVQMzQefSog3A8heE6hJ+bCMcO5cp+16LMICrdhF31Oubg7/DEpPNbZfDM0fdRUdR7dzZI+GwH2fX5cYJRLHBrFFKDqi9dggZ0Kdv6PGONm+bG1OfYCPrJfAlEW6RYHp7P2ozNiEQXVgYX0yw7sDaQZb9UkF/NnMdvZn2Ep3fGttIg4LMyeLO0mgOzkmNTHgFlEPBsWjRYFYa+DasorTwI5/UX4fUX8ycPBhHlFWgHDEY79HAIhSFRC+FihLbvfVHeXfCU4ovmOq766DWqUwnioSh3HTyO9PQ7qV82iQNOfID5M25r1XHHnPYeZZbOnUdKQrqgyVb8pSpHfUYR0XX+POxMDFfiaYpluUY0S21xbJhTiqiTY+XU+yk58Ez+1uZdecrBNzF9zu/ylSnmPMBdgy+iKNYDE4Ogk2Ft8+coI4TIpSjXy7FkGXYow4KPb+fQw+7Zot5sySUptor544KpXD5kIDEzQLOd4Z9fzOSqwSNZ+e71rYYIgEyiutWTUQhJuLQ3w055Cs+1EXqAc4ZcRy6XItW8gs+n3kA2Xcchx9xLrLT3nmKQ+NoQhpwmyqyRu7odPrs/u7RnbKfLzV1ABHhWCPGJEOKlXdTcnUJMdzghYpC6I0PzNWlSd2Q4IWIQ07fL06UVQwrqsmmunv42F3/wKldPf5u6bBq9EO+cUIqrZj7VWoKuOt3AVTOfItHGUyarHJ6dcT2NhdwSjalqnp1xPdnt87oB8qU945t4QMRDUb+0p882CQTLOWLs3YTDeS+ccDjOqJETWD79QSIixYQjTP6nv8ZPuhh4d2dJXpsmeXuG4jqLOwYfwrK3g0x5RrDs7SC/6jcco/BFOx6Kcschx9OQTRIPRdqdMx6KUJ9NcNXMJ6nfhht7Pqu2SWU4QFnARCZT5B7/F6qhGaZXEfj1X4ne/zJFbgit8PXPxuP5wuAK8n3q+dk3YeMb5/YmgqFyjjiyveweMfYudM2i6s0rifY/g+eXfcxtR5tcNtTkgyk28xfm6JQSJG/Pkrwug3u3w5UdB+J5Ga4fehzxUD63Stqxtyq3P5v+KEol6eg6RB74C1QtgX9NociLUvf6BNa+/AuiA761mV7/x5TxpDL1O/cm+XztZAplPY0igZODnAcZG3pVSuRWcp0sdZq5PrUIG/DEWlIybxjV1HpyWoZ3S+aiKZPByQgB7T3WBLJ0yFoYrsDxTFTuu5SmT2bC51numduXYs/mk0CId0IaEkHU1UBBjQnVEYUrFqGd+j9oY49FDj8U2bMvKpsm9+ZfSP/mLNI3HUX6tuNJ3zCGzANX4H6+dGfdPp82NGRTrYYIyBsKfjHjTaL9zwBgxaxHGT3qJsLhOGXlg8g6Jtm05N3JNn95KcMHU2wuG2py65Em5jqBe6dD6ros9p05ureUUuGWcERlj3bnjIeiGAIWvn8zZf2+tdm78oUZExg+6AIA0plaOgTKiYc6EpUay7O1/HTRI5w+8zp+uugRVsgUuXQDGhrpTC2J5iVb1Jspu56QBhcOOJj7qiZx8ZRnua9qEhcOOJgizyFXCPnYQCAaR7b5ICeExAyVEYjGsYIlBDzBnNcu5ZM3LqdxfRXplmqmv/1zsm3KPfv4+LRnV3tGoJR6jXwpkLbLbmjz9zGb7bQXo6dMkg9m8OryRgGvTpF8MEv4mkA+Dcv2HkfkuHH4odw46yOqUy3EQxFuHH4ousiX9swpr9UQsYHqdAO5NrHrjme3vgg20Jiqxt2B5JNlVog7Djme/5v+Rqt1/Y5DjqfMCm17Z599Gk0zKC7pzbjjH8PzXJJ1i1n50YMoICGjPDF/PTcP7Ejy9i30l6ssgiFBS7OipVkx402PcWdY/OHwcTTnmnhj9Sv8b8/TuH/kMaxJpQhqOmnXodiU3FX1TKEv7KC3guvmDRFtUA3N4G7sU55yt9infM+IvQspdUpK+jDu+MfxPAcpNUwthOOkyCSqEYESButhIprgn+9laWxRjBtgkLwn206WUw9mKb46xPULf834Qd+nxCxlv1Apvx15LKtSya3LbVtZXF6NfBH6HnsrdCojpaktyqDjZnf2bfL5msnWeOgxgdQF6ZQi60C8Q6F6xiZklMNfslVMybmAiSfWI0QIRxQMGkoHFaJZd1kQWUq/lgOZHVvKqtB8JJVUpstYGdLQWE1C9OLWzv9HUH1JcU6g1EI+DgTpZafo4piYKk2LDqvD0GXNIuSHv0X2PhwsUIkv8JJzQUuCkpAuQqieKM/Bq/6A7GOfoR92FcbJx/mJL3ci9la8WkUgX+IyUVPFimm/Y9wJT5IgxqoGj0nv2zS25PVXY4vipfeyXHSchfPH9nrNfjRL8CqL6wYezeLmZ1rHhncfeiIRcmQS1WiBoi3qqeLIfpz97ZfR9EBrZYpmz+bqT+9vTXxZna7h6k/v50/Db6XMDXLSmPuYPu+P/GbY5fxy9szWMfFNw4bRMSCJWDEiluCJI07bGJLigPPPNxl43G1UvX8tmUQ1gWicgePuwQyWbvW+ea5NuqV9u9Mt1Xh+0nYfn62yy40RPu2RLq1KewNenULu4Fwl62W5f8E9XHHgD4kZRTTnmrh/wT3cdtDVABhCEg+WtDNIxIMlGG3cyDShURyKt3shFIfiyB1IYGloGr2iZTx8+Ck4nocuJWVWCGPvjBP1+ZrRNINwJE42WUvV1HvRg2WERl3OunQjH6xOIfpvub/kUjBspMnsqTbr13q0NCtyjsuFH/2sdbvv9/wujqdz98cLqE6liYeC/GrEQGBDX9hBGdU0REmsnUFClMRA29inJHLLfWrPySXss51IqROOVLZbplJOPtY400BpuALPE62Dd0MIMluQZdMzqWpaxFWzJwDw+tF/wd6W3G4qi8ur4fkk5uU/ICsSvgzuBXgJhbPUBQl6Lw0ZEmRqPMwigZ1TtCQUQkLX8s0n8Cu9Zu7PzqDODSOI4ol15BO25zBZBvQmqJI0YaG7OZzcKioTPTiy5hBmF+crr1faKVaGAriqO674EkkJKdGTpNTQvC4Y3lRei7hc3OgRdgUNhmJdANZHBcFUA9r0P+cbY0URJT2gpQLqihGBHHh1CKVgvz54a97FmfowsrQMfczwnXZ/93XMglfrpjkdrFAHup3wIHWz/4ARKmeNbZB2bMK6RWNLrt0xGlsUhiewt/KOdtF5bMxp2J5DQNMpsUI46XoC0ThupmmLesqu+5JwWX+s4MbQyRxeuwockDdI5IRCICgr7s3Yg3+JUh6PjhlHTik0oQhJRcSKtYanlQXCrfurhiZU1RKMRJKhx96KCpuIpI1pdPrKcAupmQQj8XYGiWAkjpTm9tx2H599En/0sZuhNJCbxHbKMoHawXmRqVnU2Q1cNft6LvzoMq6afT11dgOmlncvKyHA3cPPIR7MW7njwRLuHn4OJW3cLwLS4ozhN1FcqLpRHIpzxvCbCMjtzxkBeYNEZShK50gRlaGob4jw2WHMUCmDjr+XDgdfxP9V/ZZ6u5bKsI63lf6SyiimvJ1l8PB8zHEkJliTXdO6TTxYgVImV0+d2ZrosjqV5paZVVzQ9yTuHnEupYHNE2R+JZEwxnmn5g0Q5A0RxnmnQmTjACcoA1vsU0G5A25PPnssRrCEQcffS2LBs5RaJkIqiiMF+d2KLNNGXW633H6FLPoyuGejcorUv2wafp4i8dssifuzNFyZIvlsFnu9wigWzKnKgQeREGibhGcs95q4Nf0h9U4Iza1AeiBVCSib3u7bFOfL1aOJGZz3ucEzb5/EDbPGMnKZxiVzOvODz3uglEdlFpT8AhBoXi+USiJwEW4XHCyUO5KkCDHP0inyDISCRh1WhT3WlwXRjh6PdvTPkX1+hFgzCNHQAdGjCIZ3gaEDIRaFFS2IcH/QlpN75Sm8Wt/VfWchcPjVQYe3htnGQ1FuOOhorp/9LuMXLiY8agKdRt/A1dNmU5/NkHTcjbqsQHFEkBVqq+/od1/JEvaC7BcuoiwQRgrRqiPrFr7CacMmtNNTpw+bQMtnryC19hN7U7O2XF1DGhAJ53M7BMuIhDpQEYqyXzhGZaiIWKB463lyCgZdllfDY28gHngJ8fzUbXrnbKkC1yHH3ItVGGv7+Phszi6tpvFNsSdnym5pdmCtIPdY3q1NlgmM8y2oVERi2+/I4imPJc3L+PmsmzdmGx5+A71j3ZFCojyF29hEg8ySk2B4UOJZaMVFiMLgRSmPTMMKmltWIYwgKpcmFulMoKTrPpeIZxP2ikzZexpKeVSn1vLt985nYFE/ftr3GppTQQ6XIZIPtu8v7822Wb/O44TTA3wwMcuR3zK4fdntTKqZlu8LIyYQ1Tpyyuvvbnae548fS2XJshEyAAAgAElEQVQo0FpNY4fa6CloSeZDMzSZHwi1mQzs4j7ly+1ugFIe2ZZ12LkMGSuOnTL4x8Qs5xxnEmzYXPe3lLdw0tSzdlhutyaLe6Be96tpFFBZRfP9GZzFHsYBEmOwDp7CnufiLPCwdagdLpiZVOyXhmipoLTLxme63ElyZ8tqlFuJVOFNju6gyQWUeUv58bKT6VjbQqdkhBWxeuZ0fpPF4SCnfPFtetdrpAyHOfst4sl+z1BPZzLeoYCOJ1cjiAAZPG0ZQtRhyGlc3JRktZkkK6BPCnq3CAKuSSDXASMTQpggoxLpZfDsRkChm2WEch0x17hgLQbHRuv/c6xzTt2Jd/w/Zo/XtWuS1Vz78Z1cuv8FdAp1YkVLE48vnElVwzogb5x4aNRpnPbGexxQUsyVQ4Zi5UxeeCdHY0veyHrmcRavL8txRqmBenjL7+jv/ThIJNZe7yjlkUs34CkXWznY6QaclnW0fPYKnQ65mGB5+2SQnvJYkljGz2e2H+/2inRrzde0oyhPodaub80DtcGgKyo7tHunb3HfLVTg2k1166b4cVA+uwQ/TGM3wxUwc6HNwB+bBC1BOquYvdBmRHzHskpLIekd685To+7D9nKY0qDEKmq1Agsp0IqLKG87WI21nzgJIQmUdEW3oniujdRM9NAeo1R99jKEkBhCJx6soKppIb9ffDuX9r2UdLQz4WsCZJpV3iOiMMiJxASRGHzrfwJYQcV1sZ9ylXdRa19oyNrEQ8HNSoAGdP0/MkRAvl8Ri2x9vd+n9nmEkEjN5LOXLiDW6WDih1zNj78TQFfw0cLs5rr/yCCvHPXkDsvt1mTRl8E9E+UpEg/lDRGBEw3MAzZOsvSuGs1lOfQPXYo+VlQOAZKwIdLMU4q30x4vp3SgJ55MkJNrcWUCZCOlYgpZty+2exDRlkH0WwOmE+bD/R9ixX5/B6C7EkzvGaAuejwjlmsMXtOP9fsfTIVTh3S+YKXVE83bD0+sRYgIwisHTZChE58EltHT1siYLo06NOgmHR2bpLEazyQ/BXIABQE9SJQYucxaGtwvCVR2pmhtJeiL8KpexlszGtmpAp9vFgNJmVWKEAb12STjp73Sbn11KoEm8rrns4ZG7vlkDpcOPIBzvh1FIhFSoemK0waauK5H9P9MMgmx2TtabsFWsCEpJIClPBxh4VmllB154BZ1lRSS3tGtj3f/E4QUUNkB8/IfbPXjwlb33UIFLp+vByHE8cAD5H0GH1NK3b7J+q7AU0BxYZtrlFKvCSEOBh7ZsBlwo1LqhcI+y4AE4AKOUmp4YfkQ4I/kM/Y5wKVKqRnf7BXum/ijj90M17AZfKjB5Kk2z7+YYfLU/P+usePJb6SQlAVKiIcqKAtsXkdeSIGIRRAlsfzvLShZISRGuAwrFscIl/kDVp9dSmmglHuG/bLVIJGjhR9OeZx5zirqjCyTp24c5IwYB65pEwpLNKlt1hdKLIs7R44gHgoC+UHVnSNHUGLtWBjSjuL3KR8jWMLAcfcQ7nMi5055nLmJJdzy2Rv0GOa10/0HHmoQCWtfu9z6MrjnkX4tR67KI3Cs3s4QsYFmA+qKIODAsMWguSA1aPEUDzV7vJSCnGwgbc4iY6wkp9fgGEsoMh4mZU6nPvIn+qgH+NkCB8uBP/cVPFH5LepyR6I1/JBc9cMEW8pZF8uwrKKGqK1x47xiOuYayWigZB0KG6EqUcpBqAqUZ6J5A/nIsoh4JlJBsw51wSx2NE651YsKvRsdjT6UB/oRtuJkyVIn6tBKBhCKDSDjrKKhoh7lxVDaQnJvTt4Fd3/fIyZNxve/kF/PmUh9NrnFqmiWJlp10WcNjfx69sc0eilKooLSiEZRQKc0KCkNS3LaGtJ6c7t39NHfziea/iq2V1dta7z7n7A9Y2SfnYcQQgMeBE4ABgBnCSEGbLLZ9eQrMw4FzgQeKiyvAoYrpYYAxwMPCyHafnU6Uik1ZIMhosCdwE2FfW4o/O/zDeB7RuxmOMolYTVyxKkRdDQcXBKikaj6ZidIPj57AprU6R3rwZ8Ou5Oc5+BhUZ1q4sH573LV4OPpM04Q1gIk3QxazCJmFW31WFIIehVFeeyoUeRcD0PLT/Skn7Hd5xsmX5++F4lUE9WpiTy9eCqXDjiKP37xPqcfO4RyM0JJMEAsDNomnw59ud33cJa7pF/MofeXGAdubohoSXms+NIlYoF5kCD2saJPGpbup3ioUdHsKTJmFY62HrxSQIBcgyWnk9XX0iSDDG0JccnsCXRMSb7oCIHIv8A9lg+0m+muNzNavsv++kMs085jdex0KpphSPVohmRfZ0pJmDt6m3iyEbxihCpCkUR6XVB8QVb0Y6GxiqhdTkp1ptqNsl4FKdIFnYRGR7meDmINligjYnaiIf0565Kz6RAaRLhkKMmGObREK4gmm/HmT0Q1jkMURze/UT5fG2agCC3ZQHWqiacXT+X6oUfx6zmT2lW+KLKCFFlsUxcJIQkVdcawEpx4uoZSGpouCYaEXyFlL0blvMNUInsProqjiWoRta4Uhpz2XxzyYGCJUmopgBDiH8DJwPy2pwU2JPwqAtYAKKVSbbYJFLbb5iVs6Vg+Xz++MWI3QxOCPyyYxEldB1NkBmmy07y6Yh7XDjl+VzfNx2e3QJM6HUIVKOVRm24mHiqiqnENd897g7P7jkQaDvFYjIpgpHVQpJRHKtOA69lo0mwtCSaFoCzgJ+7z2flIqWPpVqv8PjT/Xc7uO5KApQgHBcVBA4Eima7z5XYfJ/msjbAgeIyx2eQtnVW8PStHZxvMEJgdJclBHuG5imgVuAeCDH6MI5tQKoLEQok6HH0qMbGAOhlkQLaF82c/RNdEkBn734fMjaeoeRRjE0kWRAVfhKM0WSPIun3p4D1DWj+VpohGMFeP3vgTXus7FYmLwkaJRoQqRXohypwSyp2elOZOQ/OibJgNNACCLOuxWALggkGGHnIBg7VpVARNGjKLWJ/6lIrwUKxwd1LJ5QSkhSEXkftwDuZJY3byU9i3EEJupp+uGDSSUitMx2D79+v26qIcDp5WjyZNgoES3xCxF6Ny3mGqOvGS/eicclWfRpQGu5sXDH2JePQ7/4VBYj9gZZv/VwGHbLLNjcBEIcRlQBg4ZsMKIcQhwBNAN+CHSilnQ3ML+yjgYaXUhnCOK4A3hRB3k48kGPkftttnG/i+mbsZxWaQC/qN5L6qt7hoyp+5r+otLug3kmIzuKub5uOzWyGEpCxYxD2HnN46YLqv6i1Cur6ZIaKucQnPTTybp188iecmnk1d4xKU8nbxFfjs65RY4a3Kr0D5cuuDXeXgLPAwD9MRgfaTt5yjeHe2TSqtCHtgFlze15TAsg7QoxmuWpyiUTSCCiJUGEUWV59MiedRpyniuSznzZlAn/oOzO31MKsq3kShkF4YA5vv2tfwffunuBKeM+5nDj8gIKajhCIdWYDyOtGjYX8AdM+ho13OwGRHjmgawIHJPnSwK2jWEyyIvIUTvJdA9BSMoiPoax5DX/MoDpQ/ope4kWIxkS+8/XkudykvOBfiWUdiacXUJD9BhONIzaI5KlCyBffDF1GOs9m98vl6+Sr9tCOeWP47eN9DJbL3bDBEAKj6NPajc8pVInvPN3zqs4AnlVKdgROBP4tCbI9SarpS6gBgBHCtEGKDFW20Uuog8uEfPxFCbLB0XgKMV0p1AcYDj3/Dbd9n8T0jdjMy2UaWzL2b2wacjmGWkLMbWDL3bjof/EvCQT8hjo9PW6QQ9IpV8Kcx52B7LqbUKLHC7QZKqUwDr04eTyKZr/udSFbz6uTxnH7c036f8tmlfJX8JtP1vtzu4yhPkXrWRhQJzE3CMzxPMfkTm4ZmxbAuEqo9tCA0eorn0orjooDpsv/qEFfOO5AHBqzC0SRSLEN5PUkoRTg5hh/N359B1d14p9tcpnVdT2XdzXRGYchGuhVdjG20UKbgh9kLeFPcwbTAqWS9OXRugNpgD9L2Wv53SX9WFxURJo6OQVbY1BjrqTYzNBgNuFo9iBT1YgEnt4RoDNTSZAQpzqWxjSXEs0voJKaTkY+xjqNY453LM85l9DcH0j97LzXJOcSLDiBZP5u0KQllqvDmLkYbtmm4uM/Xyfa8X7cH/x28D+Kq+AZDxAZUfRpcFf8vjroa6NLm/86FZW05j3xOCJRS0woGh3KgprUdSi0QQrQAA4FZSqnVheU1QogXyIeDTAbOAS4v7PYs8Nh/0Xafr8A3RuxmuJ5NMlOHpTJYpJAqQzJTh+fteAJLH599gbzL+pYrWHjKI+fZHHXYzWSzTXw8/ylq6j4lkaz2+5TPbsGW5NeXWx8Ae4aLu0oRPMlA6G1LBCumz3dYU6sY1FWjGGgEvADcm/GIFj44P9/tC8rCFj9a3I0uLREe7VvP/OJD0BH0boaLFkfYvynCi92reapnDEeeDxXQM+1RE4CVwWPp7iykPFlEl2wdV6ufMDH0Q16IncsxhkfMifNKrwznVOl8e3ln/t2rljp9HSuDtQgFuleEIoDwoiiZIcnxrNQmU6RW0aSniTld0FhHrZWjxPaIus2E+ReVYiJfigtY4J3CSqMLB9s3EHRrCJqlJFUzwWwt9juvEfSNEd8423q/prINOK6NrpmErC0njnQ9u9UQsQFfl+3laKJalAa7tzVIiNIgaKL6K/baFjOBPkKIHuSNEGcC399kmxXA0cCTQoj+5PNDrC/ss1Ip5QghugH9gGVCiDAglVKJwt/HATcXjrUGOAKYBBwFfP5ftN3nK/CNEbsZuhbgkKGX8cKMCTSmqikOxTnl4JvQND8+2MdnR/CUR03TEv4xZXxrX/ruiAnM+ORB0plapDR3dRN9fDbDl1sfAJVTpP5lIzsK9P7tJ3hLVrksWeXSq1LSpVySWuYC8A+pWOnBxQVjxKxgM4nukjWBEBcvKuWO2Z1oMDO4MkN5ppiU0cjU3k+T6voY59hRsvXjSZS8ixC/QKgQH5hn8YEJejBHd3sZxVmdkN2JoxLLaTZ7UZERuLrBJ+VJBtcEebLXWhp1F8stIqOBQCI9AyWKUSqHp+lMsUbw3XQjWWspdeZKOtg9kKqWeitBwO1E1OlMSNkcoP7FWj7hc67iffMRDnKuY1i4CM+uJ21BuHYa3tpaZGX5zn40PmxZT505+j4qinpvZpDQpEk0HG9nkIiG474u24sRUetK84KhbXNGYF4wtFZErSv/02MWDAk/Bd4kX7bzCaXUZ0KIm8l7OLwEXAk8KoQYTz4XxLlKKSWEGA1cI4TIAR75Mp21QoiewAuF/CU68Del1BuFU14APFCoupEBLvxP2+7z1Qiltieh6J7F8OHD1axZs3Z1M/4jWtK1PPbOOTSmNirt4lCc849+ikjQf+nuJnwjWZf2ZLndHWnJ1PHY22dv1pe+c9C1xIIVlBX33tdKGvpyuwfgy+1mfO1yuyfIbHpijtQzNqEzDPTuG0M0GhIer0+zKQ4LDu6tIYSgeZ5D81rFNX3gJCkY0QzJRsUtvRbhqRigsLxVjKqtZlB9JRppnNgs1ofSiKKJBFwINh5HJPg2AkWg9iFcFWSdvpSI9SZzrdGs0cZS7EUIKh1buJSmHE5cazG7A7wZzXD/DIt342keHND8ldelcJGikR5qEp2YSWf1BdHcfgRdDVvmc9MFvc6E3R7ohEl6NlX8iCxxhnh3MCIzG5VppLxJQ+93Oda5Z32Tj+E/Za/XtVvTU+cf8zSRQPvQiw05IzaEakTDcU4ac9++qMt2d75Wuf0Gqmn47KX4nhG7GY6Xa6fcARpT1Thebhe1yMdnz8Rx7S32pZJYD4rDcX8Q5LNb4sutj5dSpF+20brJdoYIz1NMmZtD12BId621GkFzo+JLCw4SeZ/iRV6SsAigVBGKDErWoclPmNhtFa/3XMSgbAu9sibFXhLNNTHtKOHgRISSlKUNUkrieB0ZxM3M4ccodThxV9Ixs4oBqWeI2I18Zp4N9KEoB6XK4p24x7FrgrzZZRXrQlly0iZppAg6Jq4KkpNBFBkQGZQqZSmnspTTiLCO3sZEemtTKXe6ontZ0nIVabkSy6skyv4M8Z6mipOZI3+JFfwDB9jPkLY8wvMnouzTEaaxax7UPszW9JTjbh56IYSkrLg3px/3NJ5nI9tUBvLZexGGnCZKg34FCp9t4muC3QxdMykOtc/vUhyKo2u+O5uPz46wtb5k6AF/EOSz2+LLrU/m9RwqBYEj2n8vWrjcpbFFcUAXDcsoVM7IeIgkJAJwuhAsFRlWeYqU5uGKGpRMIbSFNAZW4cn1FKsUnb1mwrkIQuYIejYR1YhAEkl2xVAmLV43kJIXon9iuXk4sUyG01e+wHnVP+bQprepzJTheHlPTSPnMCjt8XJnRU7C6V/uh1QOAU9ieJDRU4S9DIgUCA1PW4VjfohjzCMkZqKLRj4RP+QFeT/vmWNZZWXJaEW4opS0rKHOmIKnr2UwfyXGx3wkLmFR8LukLIEnluNMmrLTn4/Pjo9VhZCEg2VEw3HCwTJfl/n4+LTia4PdjJBVwpmj72tV8hvi8EJWyS5umY/PnoXfl3z2RHy53bdxGzzSb+Uw+ku0jhuHaMmMYu4Shw4xQceivCEi5Sn+ssrFULB/AJYKmwe0ekKuRkrLIISBkmuIuEkECqijdzZLMFeBYS4j4OhYro4ULiJ5GJ4WYJL2BM1WGEWAjpll9K6r5tzV/6BP7mkUOTy3Lx+Gv40nBRnpYrgeFhr9MwneiTscWhOmU6InSklCThAFpHWbWC4LgHR7gefiyZU0GxJdn8Zo9Rs6u9Us5kReEb9njhxHk5EgYXi06LDemEdGX88B3EdMzGaKeQXzgyeSNZtwPnh1FzwlH19P+fj4fF34YRq7GVJIKop6c/4xT28zQ7GPj8/W8fuSz56IL7f7NukXc+CBNbr98GzWghyeggO65MMzPKV4pNbFSObXfxnK8rBswCVH0HNIah6KLEIuocFcgxK1VKoEHVSaIA663RFTrMNUkLIPp944ibXaKHQvR7k7F93rT6dml6ObXkHX30PIOoTbh2nhU2jW8jkB0tIj7EhslaOCCIuKajhybSe+92WMuwb1Rfe+xHKzZDSbgKujqxZcEUV6vfG0xXhqDWvlIDKWw6HZe+iXHUeVMZS52ul86R3NaO8vlIqZpPU0tvycctGNfs4vWSRuYUrwF+hFLofVzMOtmo820K+ssTPx9ZSPj8/Xha81dkOkkEQCZRSH40QCZb5y9/H5D/H7ks+eiC+3+ybOGo/sFAdziIYs3vjMV693WbHOo3elJGTlvSJebvKYlVKMyYErFQ8HG0Bk8bS1hFydtObhaQuJOgJwMVhPz1yKsBPDVDohVQdOJSvcXzJf/JpaOYR4chWnNp1DqbsQMDm28W2k/j5SrkG4PfjU+hZLrCGt7UpqLlFHI6XSWBiYusX0imaG1Qv6NRrk1P4Ecp0QStBiZIk5AFmEKkM4FSAEinoaGcrrwcOZVvwGpcbvONR+HReD17SfMllczmoOpFEGqbGWk9Ej9NZ+SbH4mEmRa5hbPIjcqy/t1Ofkk8fXUz4+Pl8HvmeEj4+Pj4+Pj88uJvWcDSaYh24cmjmuYsb8HOEA9KzIT/bmpjyea/QYYkK4xWVJyKFMeazV16HIEnJNklodQtbSYNSgRD37uc0UuxCiGTM1jPVyFE3ud0EJervP0iHVRNxZSFispSXbC0zIWPOIsArhdqfKOpmPg2PbtTehOUgCWDmXnOlQToxZZTUcVBvmB0sdrh/q4dKDULaIlLWAnHSIOopmXUd6PfFkFiWaQDUhvF7UiQrWm2vBqgP1b3RnGCucYSwT3XECb1DhLWe4XMKAlENPeS0rcnfyeuk1BNY9wpD1NcgOFTvvYfn4+Pj4fC34ZkwfHx8fHx8fn12IPd8lN9fFOkRHhjZW2Kta6tCShoFdNKQUrMspHqp1qdTApYmilCQZ8FinrwIcDDeGpSRJfTUhVwAOEarp7KaJuBEyLdexUt1Go3sKpd50jshczv6554nYLiVyFjI5hi7ZLwFQwsFz+zI5dBGzQ0eBaF/5L6G5AJTmDBKkCGISkkE+qGymdyLAqNomdNYjVDGhzCFkRTmaJ7C8FADS6Yf0SkDYeKIZoaJIrxKpcgghcY152OabSGVhpc+gSQ3ltdBBTI52JKdl6KVdQ4Vbxb87XsCn/5q5U56Tj4/PrkMIcbwQYpEQYokQ4potrO8qhHhPCDFHCDFPCHFiYXl3IURaCPFJ4eePbfYZJoT4tHDM34pCmSIhxDNttl8mhPhk513pvoVvjPDx8fHx8fHx2UUoV5H6RxZRLDCHbSzl2dTi8dlSl06lgrKopMVV3L3OwVMgtCYaEi4aggXRdSipQOkUOWEAEkYTCXMdiDq6OlmKW86mJfEMCXUCUTmFA8R59E9Op0R+SjZ9CF31v2NmulOebkbTJgOQZDivRn/Bl9YBW2y3IxUp6VKaM0iTJaccOqgYVcUpagI5zviyDEs1YrICQRYz1xebgQSdMqTKGySE2xfN6YTugaIFiKC5/emUKqHSbkLKGuzA27iyBmWfQCR7KNOt/Xkn2hVbT3GgezUdnIU8r0azYHHym31QPj4+uwwhhAY8CJwADADOEkJsmizmeuCfSqmhwJnAQ23WfaGUGlL4ubjN8j8AFwB9Cj/HAyil/mfD9sDzwL++ievy8Y0RPj4+Pj4+Pj67jOwHDu5qRWCMjtDz3gdK5cMzNAn999PIKcV9NS41jsLQm1iq0pyUigAwM1aHUAqIEHPTAKS0BJqSDGw5hK61f8XNXkBYLaObeS7dtZsxW0ZSbryKsLvQTbyEma0glJJoxixMLwfAjPD3aNA7fmXbWzSHMtsABc0ksTAoEmHeizdRmTY5YWUJUuSwWIOnLcHDw1G9CNlDsHId0N0IeN1RXg8gAGRxhc7/s3fncVJU58LHf6eW3md6NgYaEGRxB5EdBAT3BY1GvUTzJkHjEpNojAImogaJcQPUN6LGDRO8b27UazRRIy6Jihu7goorKArYMMxMz0zv1VV13j96aKZhwEEZluF8P5/+MNN0V5/ueep01VPnPCfqraJWO5iw1RW/m8U2F+AYS7GcIfgyp/GO53BeD3Wl0Z/i2NQ1VFtreOxVh8/W2u31Z1IUZSdI2xnp1iffdmvjX7j1ybel7Yz8jpscBqySUn4upbSAx4Azt35ZoLT55zDw9Y42KISIAKVSyoVSSgk8Cpy11WMEMAH423dsv7Ide7xmhBDiFOCPgA48LKW8bav/95IPjsFAHfADKeWa3d3O3SljZ2jICmwXDA3KvBKf4dvlr+NKl3g2Rs61MDUPJaoSsrKXsW2LdKYONJ0kEls6GEKnVHjAtXGkjWYEiDu+wv5S4dUxNEina3EdG0038Pur0LQ93t0p+xHHyZGxmohLuzluDcKaF48ZIJOuAwGggeYl7npxXIGhga5lyDo2hhBUeEswDXNPvxWlHTkxl9STFvoBGsbBW75/P//aZUO95IgDNEwD/lTr8ElWIvQmGsjwA72Mnk0mXwaSpPQcyCBg0dnKL6EZdA9gXM0pmDKAri+h2vkrZb4nANCSgzlAvoImXcLOWrRcZ/xpC4/4AuEcwFpjPACuyCcHdqTBsKnOeSmzDRpMi6y0qCbM6pINfBROcdaaCpZ0SrAxkMPvujSaK7AIErAOxHSrMN38SBCJjStsIIcUWaTIIYVFGgvcHF6RwdFqEforuM4YPOlzWeANURH8D6VWA+Prr+K58P389YWunHeij0MPVP39d7V1H+bVPEjpIhFIGUJKHU1IhJbBFDoOkHMdPJpOuTeIttW0HmX/IW1npIw2PGPNmV8l65OIiuCBnovGPkOk7HvC0Bd8y812A9a2+H0dMHyrx9wIvCSEuAIIAie0+L9eQoh3gSbgeinlG83bXLfVNrtttc0xwEYp5Wffst3KN9ijvXWLITcnkg+AJUKIZ6SUH7Z42EVATErZVwhxHnA78IPd39rdI2Nn+LJJMvXNjWxI2nQJGtwyupqepZldmpBwpcv6plX8cdFV1KWiVAYiXDn8LrqV9lUJCWWvYNsW9Y2r+eTLF6jqPZ4py24hmq4h4q9m5uDr6KL52FD3EVp4DFPf3FC0v3T1pnh53kUkk1GCwQhjj51FeflBKiGh7BaOk6MptYENToYpy24uituulo/PPn6Snr1OxPSUsdEpKervp44Ic8+Hz1JnJZkx7Pv0CXVSCYkOSkpJcq6FzIH/ZIPmqcqks5KlH+UoDwkOqBQ8Wu+wICmxtTilmsUEo5Jq28CblLzXJQbSD1IjkkvRNXsgAJ2yg2n0vY7H/B8652J0ooYMELSCHByvIRuMEswK3MwRVGY+REgv0unPYv+PWGf2o0JKDLTmpNn2NRg2EkmXrIcG06aBBNWynGpK+Xe3BnrFuzDx02pmDFiPEILSXCWN3k0k/MspzVQiCZHWdTTXjy49gIGQIXA1QCDQAA3RoiFSJLBFCM05nxe8YTqF/kpVupFzN/6evx9wM399qYrvjZEMPUztN9/W5j5so5Nm8rJbqPSWc8WhF/I/n/+T83v+jNsW1RT6rOtHhPEYjVy79B9EU41EAmHuGH4ufUqrVUJiPyWbMndsTkQAyPok1pz5VZ5fnXyHqAge3Y4vfT7wFynlHUKIkcB/CyH6AVGgh5SyTggxGPiHEKL1+Wetb1ONimhHe/qssy1Dbs4E5jb//CRw/ObiIh1RQ1Yw9c18Jw+wIWkz9c0aGrK79i3Hs7FCIgKgLhXlj4uuIp6N7dLXUZRvK52pY96bkzmw7/cLiQiAaLqGKctuJiEk5dXHtLq/JAmSTOZjO5mMMv/VyaTTtXvsvSj7l1SmlgSykIiALXEbF5K+B59JNttARq/YJn5vWdjIxIOOJZpq5JrFT1Ofje/Jt6K0o+xbNrn3HbzHGCfncjoAACAASURBVGjl+cMxKSVLPsphO9DvAI1H6h3+HZfktCQ9dZufGpVUCYOaxiYEgpWlabpnqxmeOIAjUsOpsqrIaDmWVf8aI/g7OslVdM7VkzFdvK7goAYv2eA6TMtPoPEAumVWorkVpORoXgv+mnVmPwBc3Hwy4hvYmqRJt+mc9eR/xyFBmnJCuIbJq10bOaIhwMnrygDQ0Cm1qhBSo9FXi2PUEXSacMyvSPk+wfJ8iGu8T8b7LinfCpLelSQ9H5H0fEraXE3WWIMj0hhuCT6nGn/qRzxu3sHy0gC5wCf8n8/voHupxT9ft/jPUov8yGtlZ6UytaRwmdz83XtB3//ixhV3ckb3s7htUbqoz/rDwkYaLEk01QhANNXIpEVPEsuqGh77LdeNbE5EbCbrk+C6ke+w1fXAAS1+7958X0sXAU8ASCkXkJ/7VSWlzEop65rvXwasBg5ufn737W1TCGEAZwOPf4d2K99gTycjWhtys/XwmMJjpJQ20AhUbr0hIcSlQoilQoilmzZtaqfmtj/bpdDJb7YhaeO4u/Z1cq5VSERsVpeKYrvWrn0hZYc6Sty2B1faxJNRpGYUTug2i6ZrkELDdsV29pfi5F0yGcV11VziXUXF7Y65ro0U2nbjVhM6puHHllqr8VvqyRchjKYasdXJ1C6xt8Ws/ZVD8v9Z6AcIPIO2FK38bJ3DlxtcenURzGqweC0BjpbkeAPOM8rwCY2Ym8Ws00joLj2tPhyajmC6kpUl/yEn1rPR9xXdeZdutqRLxiVlWugu9GrwYHljaLkQPetylNsbEE5f1mtn8UrwlzTqXQrtcJGYbTxEjJk2ZbZJ0M6/jzhJctKmm6zg/fI0n4TTTPi8ij6N+dGdujQoy1bjcX0kzTgNvk24IglksTWHjCFxhcR0XUpzLh7qcPWvcfQYtp4ia9aQ9L5DxvwQKSxM+0ge8T3DA50nkvJ+xXmf3c1B3QWvLsvx+L+zZKx9dx/aU3HrujYuW/qwUrOEaLqGsFneap/l14tH7kZTjVius9vaq+xlNC0qKoJFd4mKIGhadDvPaIslwEFCiF5CCA/5ApXPbPWYr4DjAYQQh5FPRmwSQnRqHo2PEKI3+UKVn0spo0CTEGJE84XunwD/bLG9E4CPpZQtp3Iou9ieTkbsMlLKB6WUQ6SUQzp16rSnm/OtGRp0CRYPJe8SNNB38V/K1DxUBooTlJWBCIbm2bUvpOxQR4nb9qAJg5JgBOHaRPzF68dH/NUI6WJocjv7S/HBZzAYUVM0diEVtzumaQZCutuNW1c65Ow0hnBbjd8mK39FKRIIY3TcgYC71d4Us07MJX5PFuED/xmewvSM+iaXJR/ZGEHJDCvL6qxOUE/xU4+XIXqQxpzgk4TLJ7U6h8RDrAnBel8Nq72LmN/pL6wLLKKTVYHl+ZieWeiUBctw0IA+TaAZFqbt4aC6BKYbwnUGscx7IYv9Z2MLb3EbN4+MaMN5/CbTwkVyYDp/QiqBGE0YUqMr5TzfrZ4m0+HXH0TolM7H++YREuFMNX67BMP14HO8+G2TQM6LIU1yOjR5LVzhx+sEkGITjv4l0IQghK25pDzvkTY/wRUuizwXcnHf+3nOeyDHJ15hyGEGK79w+NPf06yr2TdPjPdU3GqagcaWPqwpFyfir6YxF2u1z0o7maL7IoEwHk1H2T+JUt8kz0VjazcnJERFEM9FY2tFqW/St91m8wXpy4EXgY/Ir5qxUgjxeyHE95ofNgm4RAixgvzUiguaC1MeA7zXvDznk8BlUsr65uf8AngYWEV+xMS8Fi97HmqKRrvb08mItgy5KTymebhMmHwhyw6pzCu5ZXR1obPfPAe+zLtrM/sl3nKuHH5XISGxuWZEibd8l76Oonxbfl8lp46exZpVTzNz8NTCQdHmufchKYjVvN7q/hIkSTCYj+3NNSP8/qo99l6U/UvAV0UIwczB120TtyVSsOrTf+L1luFz6reJ36kjwsz97FUigTAzhn2fCm/Jnnwryi7mxlyaZmVw45LAWR60YD4R0ZRyeWFpljQufzNdstKkn25xLn7qkwaLYvBBHDZkJd0TOUDyeNcPWOtbxuelS0DkCNkaQSeEYXxOVfPFayGhdxMYQhDKQO9NNprdhy+1H/BiaBJfegZCKwkvW7poiDZN1chpknojR4+0D735UCWHQyMJSvBTpof53wNrMV3Bb5d3LyQkAEzpIWiHKc1VEsqVE7RLCTgByqxSyjNhAjk/ILB0ELISTZbi6ilcbQ1C1KMRxtGypLzvk9HXk9E8/LnLuVyZHEy91ciJw03SluSBf2R4YaGFldt3R0nsTgFfFQE0ZjV/9/5l1f9y44CreXbdP/jtcH9Rn3X9iDBlHkEkEAYo1Iwo9wZ39BJKByYMfYGIlH3P86uTF3h/d9Yaz69OXiC+W/FKAKSUz0spD5ZS9pFS3tx83++klM80//yhlHKUlHJA87KcLzXf/3cp5RHN9w2SUj7bYptLpZT9mrd5uWwxt0tKeYGU8v7v0mblm4k9OZ+uObnwKfkhNevJD8H5oZRyZYvH/BLoL6W8rLmA5dlSygk72u6QIUPk0qVL27Hl7WvzahqOC/puWE3Ddi0MtZrGzmiXS5X7ety2hy2raRgkcbGliyG0VlfT2Ly/FK2m4dpomlpNo5mK292ouBK9iyF0tZrGt7PL43ZPxaz9pUN8dhY3IQmc68HorvFF2uKVjSmsz0w8rsbrITCF5GApyNgCSb7SeEh3Wej7nKS0ufGjg/iwtIGHer+N1Ndi62mkaGB0QwWnrruKdV0uxtQ/weNCjyR4XUF1E5QnKlirn8VH3hNJa+EdtlVHo1wLUCOSJEXuG99bia3TP1nCR8Ekn4ZShftLCVIiAtSTgHSSH3xRhaVL7jkiymfhzA62WMwRDlnNIqNbuJqLRJJf6SODcCsQBJEyg8CL7lTjcYNo0k+ZR3JKDwOzQfLZWpeQH44b4mHQIQaG3m6jjjpEX9uyD3Okg6d5NQ0QuDKElAaacNVqGh2H+oMpe8QePTqXUtpCiM1DbnTgkc1DboClzZmuOeSroa4C6skPmenQfIaPLrvhL6MJjbBvm/IbirLXMAwPJaH8CIcdXR9u7fpLMNillXsVZffQdZOgv7L12AwVx2bxY4qHyyv7PpmVpF/KkX42B35Y8z3JAtHAwo/SuDGdMfEwPglrvdDbFoDAEVBtQLkOXxgbeMr8GqSXK1b3RJfwdNfl5PQ1SN0C0Ui1/JTBjRfhaHEMfRXhHETSUJYWVDcabOI05gV+gqUF2tRmBxdXugQw25SMiBsOtabFwckANV6LBjM/NKOJJEioECGSfoPH+tRz5pdlXLu8O/MOiPFMj3qyxjdfFNOlTsDx43d8OMIhpSexDA/gQwobST0apUjANtbhuEEMt5KY5eexVX7CHhjZS0eLuTzzhsUry3IMO8xg0KEGZSF1EaY1O+rDiqk+S1GUb2+PXyqUUj4PPL/Vfb9r8XMG+K/d3S5FURRFUZRvQ7qSxFcOsTctjMUu3qRgRcTikV5J7I0G3SwfQyw/pY7AErDeCz4DOulQqoMpXJbrG3jSqMF1TXolKjh9QyVHxEPMPXAZ0dBKpJZBiBi9nfc5acMEquMnkQ4+Ro+UQ9e4oFMC0s4AXvFOIq3t/DS1LDZBTOLSICO+uQDw5740R9o6I2NhVoaS1HgtMppLk0hiS5swJfi9Xub1SXBUVOf0ryoY93WY1yKNLO2U4IuS7DdemxUIDGlQaoeRtiRh1pHVc0i8SNIgDcCH1HLkxNc4IoAuy6jPBXlhgwek4OAy8NqSV5bleGVZju7VGof01OnZWad7tYbHVBeIFUVRdpc9noxQFEVRFEXZ01wpcSW4kvw0AAkuICUk0i6ZnCTrSDK2JGO7WI6kKSupTzk0xV2OeFtDT4EvDZ2bNPyOwIdkTRjeP0RSG/QwJOXB54JHgoNkjbeBlaHFxDzrsEQ5DuVIGSJ/tVlH4OW89Z04traKrGbz6IELmN/5bdAShOWXHGF9QVfbxi8+Rfjm0i/5VzrXCLKyK8s8v6DGM+hbfx5JaeEIiUXbij/ammRlKMnBqQAD4yXIuOTZ6lokkCJLlhwlMkhIC7G6u+DrihyHbILT1pZz+toKUrrLhkCOTb4cSdPm8d51ZIztLyUmEJTkqijJQVqPkTIbcYUfIR2QJggTqWfJyRpszUSTAQw3xMdZH59i4vVCleuSrpWsq3GB/AgQfxBKQ4LyEkFFiSAc1Aj6NIJeCPkEHlNgGhDyCzRNJS4URVG+C5WMUBRFURRlv/fM6iZmLqlt9f+GJ6oIuNs7ZNJB6oz/ErI6pA34rALWh+DLUkHEzV/w75QDS7hsMrJ87kuw2l9PTnfJ1+g+oMXKFRKwgSSOaOTNThv4sEzySfgdLHM93WWU3tZGOts2nTNwWAP0is3Hn3uDOv0wXveP5ytjKAgNSLXe5Daq1RxyWtvXFk8ACzxxwrYHASTNRNH/x2nCkAYlMkgwEOCdnh5W2oIucShPaZRmvVQ06uhS8kTvNWi07bWDjkHQqcTFJWHUYRkWjgwhCSDwIkUOR2ZxtSbAQLgesjJAQvr4ShqYrkmpq1Higj8NdSnJ1xsl+fUgWk/G/ObHfkoCKhmhKIryXezRApbtRQixCfhyDzejCmj9qGb321vasre0A75bW2qllKfsysbAXhO327M3/e121r7a9l3d7vaM2yT7zme8L8XDvtRWaJ/27vK43Uv72n3hb63a2DYd7Rhhb/hMdyX1flrXLnGrKN+kQyYj9gZCiKVSyiF7uh2w97Rlb2kH7F1t2Rfsy5/Xvtr2fandqq3tY19qK+x77d2b7AufnWrj/qmjfabq/SjK3kWVEFYURVEURVEURVEUZbdSyQhFURRFURRFURRFUXYrlYxoPw/u6Qa0sLe0ZW9pB+xdbdkX7Muf177a9n2p3aqt7WNfaivse+3dm+wLn51q4/6po32m6v0oyl5E1YxQFEVRFEVRFEVRFGW3UiMjFEVRFEVRFEVRFEXZrVQyQlEURVEURVEURVGU3UolIxRFURRFURRFURRF2a1UMkJRFEVRFEVRFEVRlN2q3ZIRQohHhBA1QogPWtxXIYR4WQjxWfO/5c33CyHE3UKIVUKI94QQg1o8Z2Lz4z8TQkxsy2ufcsopElA3dWuvW7tQcatu7XxrFypu1a2db7ucill1a+dbu1Bxq27tfFOUPaI9R0b8BThlq/t+C/xHSnkQ8J/m3wFOBQ5qvl0K/AnyyQtgGjAcGAZM25zA2JHa2tpd0HxF2b1U3Cr7IhW3yr5GxayyL1JxqyhKR9RuyQgp5etA/VZ3nwnMbf55LnBWi/sflXkLgTIhRAQ4GXhZSlkvpYwBL7NtgkNRFEVRFEVRFEVRlH3I7q4Z0VlKGW3+eQPQufnnbsDaFo9b13zf9u5XFEVRFEVRFEVRFGUfZeypF5ZSSiHELpujJIS4lPwUD3r06LGrNrvfc12bdKoW17XRNAN/oApN22Nh0+GouN27SOmSSddjO1k0oWHqPkxfGCFUrd+WVNy2DyldMpkYjmOh6x58vvJvjD0pXXLpGK5joekeTP83P2d/pGK2bVqLJ2Cn41LZNVTcKorS0e3us8qNQoiIlDLaPA2jpvn+9cABLR7Xvfm+9cC4re5/rbUNSykfBB4EGDJkiCrEsgu4rk0s9hnzX51MMhklGIww9thZlJcfpBISu4iK272HlC4NsVW8+spVhXgfPWo6QV8VfrMTImeDrkMoiNDEnm7uHqXidtdrLf6OPe4uysr7bvfET0qXZP0q3n/hajLxKL6SCP1PuZNgxfafs7/aH2NWuhISSXCcNvVdrcXTkePvwXKtnYpLZdfZH+NWUZT9y+4+o3wGmAjc1vzvP1vcf7kQ4jHyxSobmxMWLwK3tChaeRJw7W5u834rnarlvRUPcuTwSZjeMLlsI++teJBhw35DMNSlzdtxHYdUug5b5jCEScBfiabr7dhyRdk5rnRpTNcQd1IMGnUDJhpoOmk7jZGJoW9Kwv3/QpSXYl50NnTptN8nJJRdK5OuL5zwASSTUV595SpOPW0u/kBVq8/JpWNEP32evqffjatpaK5L9MNn6Dngx3gClbuz+cpeRroSuWETuTlPIWNNRX2XFJJ4NkbOtTA0ExOdnJNBQ7Bmyf1k4vkYzMSjJJvW8ebiW7eNy/GP4verGFPaRtoSYYjCv4qiKJu1WzJCCPE38qMaqoQQ68ivinEb8IQQ4iLgS2BC88OfB04DVgEp4EIAKWW9EOImYEnz434vpdy6KKayHVK62Kktwy2NwM4NrZRA9yPO5/4V06lLRakMRPjZgGk7tf6P6zjUNH7GY29PoiEVpSwQ4byj76A6fJBKSCh7BVe6rG9axR8XXVWI80sHTmf+irtJZmr5wdEzCehB6BmBEwdgOQ1oCTBLqtSVQWWXcexs4YRvs2QyimNnt/scFzAPPYnbF11RiN3Lh87ElS65ZN1O9/lKB5JIFhIRADLWRG7OUxhX/ZivnfWt9HezSWZqOWfwNKxUHfGa/KrsmulvPS4da7e/JWXf5GxwabgujTlAJ7fCofzuAFpQJSQURclrz9U0zpdSRqSUppSyu5RyjpSyTkp5vJTyICnlCZsTC82raPxSStlHStlfSrm0xXYekVL2bb79ub3a29FI6ZKuXcXHT0zkg7+czsdPTCRduwop3TZvwxKSB5oTEQB1qSgPrJiOtROlPlLpOl5d+QAnDJzEj459iBMGTuLVlQ+QStft9HtSlPYQz8YKB+aQj/MH353GyMMm0pCK8vjbU7ACHtwzj+TTRVP5YsHN1DV8Sm1iHY2ZWtyd2KcUZXt0YRAMRoruCwYj6GL71wxS0uKeJVOKYvefnzxEEpva5Fpiia9xXLtd263spRynkIjYTMaaSJDYYX/392XTiQyaWHiOQGPUCXdzzKkPMfK4WVRW9c/Hpe7ZrW9H2XdZKx0Acivy/7o16jtTUZQt1MT/DspOxVj93NVYzcMtrXiU1c9dzaET5mIG2za00pVu4YBls7pUFFe2PRnhCMnAQ87n4eVbRldcfNQ0nF1Xu1RRdlrLQoGWaD3OfZ4wAA2pKK50WP3qdRjBSnzH/JI73tsSz1cOv4tupX3R1BVo5TvwihDjRtzKawuvLczNHzfiVrwitN3ClrZ0imK3d3l/TuxzPre+dXEhPn817E66hw9S8bm/0XVEeWlRQkKUl5LD/sb+zlfRi/5nPohAI+n3c9/i6wvxdNnQ6XTyVuHzlaMobbLV4Z7M7ZlmKIqyd1JHJx2U61iFRMRmVjyKuxNDK03DS2Wg+EpdZSCCabT9ioiDLCQiIH/Q8/Dy6Tg7NdlDUb4dKV0yqTpS8SiZVB1SuoVCgfP+9ROe/vt44g1ftBrnGasRgLJABE3oWPEopUMncu97xfH8x0VXEc/Gdvt7UzoWEQgQ9nTj5AEzOOvExzn5uPvxl1Zj6dmieJ33r5/QEMuPcjOEURS7px00kUfeLY7PuxdfreJzfxQKYl50NqK8FKBQM2J73+st+7tEfD3zXrqERjfJ3YsnFcXT/cungTe0w6Kq6XQdiUSUdLpup0ZjKh2UOtxTFGUHVDKig9J0D56S4gMOT0kEbSeGVoY8ZVwxbFbhwKUyEOGKYbMIecravA0Hp9WrMA5Om7ehKN+GlC5N9at4/dmJvPzE6bz+7ESa6ldtUyjw4+UPcdlR04vi/NKB01nw0dx8jZORd+BtzOb3n1CnVuM556r508p3IzSBVlWBP3IgrsflrZd/zkv/O55Y7YetFrbMZGKUequK+uhSb4WKTwXIx5Po0gnPlT/Ce8NleK78EaJLJ0q8FVw5/K7t9ndnD53OyuUPAaCb/lbjyXZbv7S9daK3ZeJM2Y+p8hCKouyAmqbRQRmBcvqcfmdhqoanJEKf0+/ECLR9aKWVbWTTZy8wZcRspNAQ0mXtJ/+kul91m6to6wgqA5GiA5rKQARdfTsp7SybjrHo31eTTuRjL52IsujfVzPytAeKCrLV1b7Pp0tmM3Xcw0gBujAxXPivoTejO2C+s4ZUnyq6nHMvmm6oeFbajdAEWS3Dov9MKsStbmy/gKDfb9DN04PrR/0Zm3xtCBWfymZCE1AaKr4PQbfSvtxwzKPknAyZxAZ022F8/1/h91ex4I3fUVf7PgC5bGOr8WRorV/UyGRiLF/+p6IVuJYv/xMjRl6vVt7Yn23d/aiREoqitKCSER2UEBr+qr4cOmHut15Nw3Udwj1GMXPhlkrtPxswDddt+6gGLwaXHTWd+5dP2zLn9KjpeFXoKe1Iui6unSmc0G2WTkQRQiMYjBSd4GXStfg1T+GAWcYayd70CPSMUHPukdy9chJ1K6Ic1WUslw+dWSgauHmf8Eg1yEz57lqL25zVuE28tiwgKHIOTYkod6+cSthbxUUDpzPn3WkqPpXt0oRG2FdJKh7lrecuLdw/5ISZZNK1hd8/fW8ulw0t/v6+cvhdlHhbv6jhuk6rK3DtzDGD0vGIrZMRaqCMoigtqDPCDkwIbYfFKqUrIZEExwFdh1AwfyWlmSXcVlfTuG70HIJtbIOOTpnw84sjrkU3/Ti5NKXCj45a1lNpH9J1kRtXQbIGfyhSdGLnD0UwdB/HHndXYeh7MBjh2OPuKi7I1lz8LXXyAO5eeW1hH1i+YT4AU0bMJpOJkcs2snbl3+g+4jpkU2K7+5KifJPtxe2qFXMZNWo6b701rdV4TRgZ7l45lbpUlLpUlCc/nM2Pj7yWzoFuJBq/yMfnsGuRrlQxuR9r7fte0z07jLVMupZO3ipuOGYutpvD0DyUeMu3Wwx1e8cMU0fNIaDib/+11Z9dOmpohKIoW6hkxH5KuhK5YVNhHfLNxa3o0qlwwOBsZzUNZydW0zAReDUvJSXdkEIgfBJvzsFUw4aV9pKMkX30akRJJcPO+B2L3/496UQUfyjC8BPuxOsL4/WFOXX8o9usTgD5VWTingy5K08HILyxqmg/WL5hPt/vM5HX511SODH0JATWA/9vu/uSonyj7cRtNl1HwF/FqafNxXFz28Sro8H5/SYR9IRJWo08/9lc/u/CX3Hj0Q/x3qI7GDfyNrQn3kSeMlrF5H5qe9/3ns6VDD/hzsJ0tmy6Dj8lnDz0LmRZAN304fNXtHlEpeO2XiMKKWlMbMQ2JOY3JDSUDkiNjFAUZQdUMmJ/lUhiLVtJ0+XnYOs6huNQ+uYHeMcOLcwxNWl9fry5E6MapG0TkynuXnjtlqXmBt2K3ynd5W9JUQCkbSEbotAQxfvsvYw+bhIyWIpe1hVvqDNCaEhX4st5kdIkTYZ4cmP+JM8b5uv45/xx0VWFeL1o4HSe/HA2SDjp4Mso8XbC66vi7HNfRNM0vI6P3L3/XVhCT8aayM15Cs+VP9pmvraibM+O4tYTqEYk0+CY4OrgFSCaE2fZGH/74A7qUlGO6jKOCwbNIGVn8HnCnDLqfjxJB/uDVeTW16iY3M+4UhLLprBsGyOVoKQ0CLGmoj6qtKIvx5zRPJ1T6GhoSCeLMLyYLRIRWy8v6/WGSWcbcVwLXfMQ8JVjoG1zzHBUl7HE7UZmN6/KoZZD3g9tff1KJSMURWlBJSP2U46AL0cfxjWL5xFNxYkESpgx+iT6CFEIiqDr54qhs5i9ZHLhIOKKobMIuoE2v07ClNy96NqiYZt3v3Mt149+hLavyaEobScMD6IsgmyIItd+AHMno5VF8P5ibiER4dbWk8zUYZd5aWhay9L3HyKdqWX88Q8UEhGQj9c5707jkkE3k3SDTH93AdHUO0QCJcwacRp9SisQDU2FRAQ9I7gnDkCGPEiRxCsDO1WnRdl/CcODdvhYssNOxw2G0ZKNeF/7K56zpsLGOqxWRrE1WfXMXnw1dakovcv6M6b3z7n87Re39OnDTqa3aULPCM6JA0jTiJbK4vXvXP0gZd/jSsnqpjomL3y+EA8zzz2WHm++j9u/+5Y+igAefzmpTD3ZXAqr4SvqFz6Enayjz+l34q/qC0BDbFVhalv37mPpN/BSnn9jMvFklJJghPHH3EWZt5pf9Z/O3e9vqTFx/hFXMWPBz7dZDvmGY+YS9lXtyY9I2U22XkxFqhIiiqK0oJIR+6mY5nDN4peIpuIARFNxrln8Eg+PPpNOzY+xdAsz53Jx/2sxDD+2ncaULpaexaBtV9dybm47S821vjSYonxnwXK8P7mT7KNXIxuiiLII3p/cCcH8HHuZSrHJXs9j711LQypKWSDCWUOnsXj5vSQyta3Ga9jfg2vefK5of5m88HkeHnMmfj2BuPIsTM1D2pdm0StTiqaFlFb0VSd+yjeSgTAN4y/hsbcnF+LyvPGz6KT5sedsNfLmhTcR544mp1mFeD3p4Muak2Ut+/QXeWj0GQR+ehzp1Cas2Ces/fQ5Dht0mYrLDi6WTRUSEZCPhykfvMqDp5zKihcuLPRRI0++hyQWj715VSHuzh0zjfgb97L6uas5dMJcbCGLlpftfdAZhUQEQDwZ5V+vX8U5J/yZqkA3po74E450MJrqsYXWap9qOdnd+4Eoe44aGaEoyg6oZMR+Kidl4SBls2gqTq5FPQjLzfLE29fQ0OJAoiwQ4YJxD9HWsRG62HbYZmUggq4OgpV2IjQNWd0bfvkwrmsjNJ0cOlo6hhEoJ0WCx965thDXDako/1gyndMHTCKbqW81XnOO3er+0pTcxAvPTyAYjDB23Aw+e3fONkuJHnPGXHwBtaydsmOpXGMhEQH5uHzs7cn8dNzDeJqH1wP5UQ7H9WH1339K1wkPFOI14KloNUZtCS+9eGmh+OXRR0/jo3fu56hR16m47MAs12k1HlJWY1Ef1ZhYx5PLby2KuyeXTeeCk2YTfWk6rnSwHatoNRePN1xIRGwWT0axnQyvvPzzQqyNGzsLXW5veW91DLDf2DoZjRNnmAAAIABJREFUoUZGKIrSgvo26MCkdMmk6kjFo2RSdcgWY+VMTRAJlBQ9PhIowWxR3EziFiUiIH+gIncire3F5LKjplMZiAC0WNrT/DZvSVG+kZQujY2fM++Fi3j66e/x4gsX09i4hi9fvZl07Sps7Fbj2usNs2r1s1w+dMY28ZpNRlvdX/yeIJVV/Ukmo8x/7RoOOPj0osekE1Fc12rfN6x0CLZjtRqX2eRG3LMGQM98TIoTB7D61euw4lFM2+VnA/P9a8qqbzVGDSHw+/PD4ZPJKG+/PZ0DDj5dxWUHZ0rZajzYLZbuBNBMf+txZzXRbdw1JLMxGpvW0L37WEYfO4vjTnkIj6+cXt3GFj2nJBgh3vRVIWmRTEZ5bf5kvFrrxwA+dS1s/7H1IaOrVtNQFGUL9W3QQUnpkopHyUkrv8hzLoNjZwiURBBCo8IXYubwU5iy6IUt80mHn0KFb8v0C00YHNJ1LIf1OhOvp4ys1cBHX/wTTbQ9bASS8FZLe5YIP2KbVLmi7BqZdH3RkOJkMsqbC6YzZtAkVj93NT0nPExZILLNiJ+cnWbIIT8iYFRw1Yj7cIWGDgQlvLP0Lm4ZdAVT33mjsL/8fuBI5r83k7EjrsGv+UjrOlIzOfzEO/l6+SM0bPoAfyiCpnn20Ceh7EsM3dNqf+uk6ln92p0cfMrtyAf+hSzxYcWb598veYSqYT/lqpH3oWleZgzvwzUt+vSbBo3GyW5gyNBJvDDvAiC/P3h8FWiaSgh3ZKWuxYyjxnDN8i191syhJyG/fo1hE57GFTqG0PFJ2Wp/aKfqyWge3lx8K126DOOQgZcw/8OHOKzXmfhtD4MGT6G0pAcrPv5vSoIRTh09k6ULby9qQzIZRUqHChEoOgYI40PfiVW5lH3cVn9qVTNCUZSWVDKig8pmm0jmGpn35pRCgalTR89Ezwbx+coQQuAxLKYcdRR+PUDaSeExLITYMjJC1zwM7PdzJi+7hWi6hoi/mlmDp6LvxMmV41gsXTyDI/pPxKv7yTb/PnrMze3xthUFx8kWDSmG/EGx7gtjxaN4pcZ5o+8qmiP9g6Nn4k0lyG78lK97lTJp2c2FmL9z8PUMH3E9mVwj9408iYSVIJ3dxOL3/sD6+vdBSAb1+yWTlty4ZT855joOy6bwe8vw+sv30Ceh7Et8njAD+/2CyS1ib9bgqaSW/i2ffOhSjveGy8jpGTwlEax4FAnUuJlCvI6tHsnsUZeRzcZJZjayaMV0kplaLhz3MMedeB+abmLn0gRDXbGdLE2Jr9F1LwGfKmjZ0WiaQYQ0fzz8CKQnhLASdDIk67oP5pLFvyvE2B2Dr+OHY2bzP29cUegPzxk8jeiCe+k9ejLJZJRIjzH5RMQhP+b69+7e8twhNzDx4PNI13yEkU6Q2WrURffuY7GdDLo3SKXhg1wGK9tI7N1HKD32uj30ySi7nUo8KYqyAyoZ0UHl7HQhEQH5+Zzz3pzC2cc/jI8yYtlGLl90PdF0TeE5EX81c0fdRaUvf/KUlDke/PRxJh3+C0o9pTRZTTz46eP8pt+lbSxfmT8gSqdrmf/q5MJ9wWAETVOhp7QPITSCwUhRQiIYjOBkGvGURBDSpbq0NxcfP5fc5urx/74dO1lHlwkPM2nhbwv7RTRdw9XL/sAjI29n3muXc9zI3/O31y4BoFtFf84adTflpb1Zm9pIpaecaLqGaLqGyctuYebhl9JJBtq8ryj7t0YrXkhEAIU4urfvhXjWLkFoGpSGMAnR5/Q7Wf3c1QSGTuTipTcWnjO/ZgGfxlfzh0Mv4B9vXV3YthQaWmkvbNchK2pJ20kWLr+bL9bPL6yEUFmmClp2JI5wWPnva8jEt/SDvv/zj0LiCvIxNmnZzTw07A9cOO5hMqmN2Kl6ogvuJV7zAYYnRDAYweMNc1ivMwuJiMJzl97EnBG3Ef/wOXKpOo478W6S2RhefyWaZqBrBm8uncEX6+fTq/s4Bh01GVv3Ujrut2j+8B75XJQ9QBWwVBRlB9QZYQflSrvVAlNu8/g4y80VJSIgf3BhFa1yoXFer3O5afmTRNMxIv5ybjjqXHam1IjXV8m4Y2fx2quTtxS1OnYWXp8qnKa0D4/mY8zR03nj7WmFmBs9chqN7z5GzxN+x1evzaDriMsIVvUFXwW2HqTslNvQdA+bZLbV/SInXbpVDyObbaQsECHoq2Lokddww4qniKafat43LuXejx/kg8ZPiKZrMD1h/vX6VZx70lyCfrWEnbJjlmu1GntaSeeiuPVX9cVf1ZdDJ8zdbrwG/J0Kvx8SGceGXIYpSx4t9OO3DvwBRx7yQ75YP7+wEsK5Jz1K0K/65Y5COrmiRERpdT8cobcaLw4S4VgEhJcP3rqTTDyKrySCrnkZOWoalp3G76ts9bk2LhVjr0KmG8hpgv9dOq0wwuLMYdMZ1P8SvJ5yqvucw6WL5hRi8I5hF9G3tAuaSoB1eFsv7alm6SqK0pJKRnRQmjDyBaVaJCRKghE0oQPg0Uwi/uptRkZ4Wswjlug8/vkCru73fUrNIE25JI9/voAp/c9qczvcVAzrq+WcfPKDuNJFExrxVa/j9qmE0upd8E4VpZjhDxPKVDF26LVovjCeQAWk45iHnUHdJ/OoPPwM3FyKXKIGM1SNGdxyAmamalrdL2LxLzj8kP8iVvcZE46eSX02wbUrniKajgEQTce4afmT/O6oi0nYKco9FQR9Zfh9VTi2KhSofDMd0Xqf7CtDpuJ0HvR/yCVrMIOdMAPlmMHK7cZr0FPKwAPPos8Bp1FW0psvEzVUekuJpmNE0zGuffdxHhxxceE58WQURxW07BBcKYllk2Q1H71Of4BNi2eTqPmAHgMvwHFzrcaLJl00YMPChxhw2mwQOloabMfB6ykl5CkhIVqPz1h8DQ+9fnkh+RDyVdGQitKQivLPxdMYP/haDu93MT9bOKeov5y0eA5/GXMllb7S3f0RKbvb1skHlYxQFKUFlYzooAzNw+ljZ1OTakA3Qjh2gupAGUZzvYewGeKOwdcVzY2/Y/B1hM0tg8oFggsPOolGy0ZIDx6R/10gtvey25BISvseS1zzYEuJIQSlfY9FqjmEyi4iXQmJJI6Aei1HTkpMXxmlvjCOnUQg0LxBUmtWU9XvHBJWA2nNQcRWEc5l8Jf3QAgNKV08do4/DZtFvZWg3qrn2bX/4ie9xrNgxR9JZmqZOO5BXnh3FqMGTCkcWAP0K+vJzw/9Hp19lVjJev74/mvUWUluHnQ9uq4KWCrbtzl+fYbGfcNup95KELPqeXbtC/yk13j8QiMps0jdj3DAzDRgNA9xN60ks4fexPp0Q6H2T5Vp8tX6txh8+K+py6b4rKmef331Ab847Azu++hZPmj4kmg6ht2iDy4JRtBk2/t1Ze/kSsnaRD3rknH8uoe0UUWXcTfBazfg8ZVT++nL23zv3z/8VjQRokG6BMdORRMSJ11HygOv/WdSYXTZiaf+mVmDpxbVkLp5wK9ZsPwugELy4eSjJvH425ML95m6HymMov4S8gmJjJMlmdiAQKILDxqg+8Oks404roWueVQ9k45gq5ER24yUUBRlv6aSER2U49pstD1c+97nRFMJIoEQtw4ZQQ/DBsBK1/H1O/cx6+AL0L1lONkGvn7nPg4Y9huMUBcANHSyjs7Md5cTTaWIBALcMGQw+TUG2kZ6/HyVSXDNgr8RTTUSCYSZMez7HOhTM+mV7066ErlhE9aylXw5+hCmLHm6EGczh55F4v1HqIsuZvCYG6k45BQ2Wpu45+NbqUtFqQxE+OWA6XRLh/EEyslkm1ibsbjunQWFfea2YZfyyaoH8oUqya9S80l0Pof1PoeIv5xoOka/sp788tBzuHnZlv3kusEncd+HL3Hduy8xZ9QPCe7hz0nZO7WM3+iYQ5my+KlC/N4+9EIaNr5BzAwwe5uYLcMRLu++M5uug6Yy891FhZidNWwU5dUncPkbr7eIx6N5fPXbTDzoeKYseYSIv5xsJl9ssCQY4ZSh0/BJdcK3r2vMpqjNWMx894Oi7+w+p9yNmY1RUn0oX376HA8OvRFX6Pg1L5sswW8WvViIn9uHj6WLdHjt1WuKViT6ZOVf6XXwmTw84lZS2Ub8vjLimTqGHnYhfPRn1te/T0Mqit+zpRZEWSBCzknjF6LQX24W8ZezIf4FaQG17z/GoQMuJrNuBXqPo3j+zcmFwtuqnkkHoEZGKIqyA6p376DSwse1SxcSTSUAiKYSXLt0IWnhA8B1bdatnc+SV65m4byfsuSVq1m3dj6uaxe2YUuNm5YuI5pKNW8jxU1Ll2HvxEFro2NzzeL8CWJ+G41cs/hpGh37G56pKG2QSJKb8xRNo48oJCIgH2dTlvyDrgMuIp2IsuyNG0mR4553r6eueQm7ulSUe1dMIykzSNcl7sB17ywr2md+u/gNDux2EpA/sNY0g7JAhDXrX2HG0IlE/OVM7HtyIRGRf16Km5e9w08OHk001UhOXQZStqdl/DYnIiAfv79Z8k96HXAysxdPajVmHcci0ncC1yx8rShmayyX3y5cuE08ju9xFKVmkIi/nFlDL6BzsAs/PuMZzjhiEnLhYyDanmRW9k4ZR7b6nZ2VOjKbxBfuzscf/Tf/efpsXn3qTDKOxm8WzS+Kn98smk8mdAD+rercdOoygOfmX4GTriXuZrhkwW85/+0pXP/xXxg64Eq6VfQvJB+ALdM2vOUEkMwc8mMizSsLRfzlTD/qbJ7/5F7uXzGdzgefzuJXriHY95hCIgIo1DNJZYpHVSj7GJWMUBRlB9TIiA4qJ0XhAGOzaCqB3TwUV9OMVlccaLnKhStl4aBmyzZSuDsxxcKWsnCAvWUbjUVDhBVlZ2we1o7j5FcMKw2S07VW48xtroGSTkRxhCic1G1Wl4riSBe3tgbb72t1n/F6KigLRJhw9CwMKZhw9CzqrRgPfTqXq/udTO9QF6Kp97Z6XoqwGSASCGOqK3pKK6QrkbaD+cPx5Ey91fh1pGw9ZnExhU6o/GCiqY+L/t+vG6322xXeENU+L7P6j6fCTeHmchiaSdPLd1J9zp3oQbUE7b7OlWz3O/vzeb+h2wnXF773K6v6IzWz1T4v57oMHHQF774zm9ra/Kgwr6+CeDJKwk5z3cr7ilbVuP69u7mt38+o9FQQ8Ia5/JS/I4RGOl2PLgVvvDYFv7+Sh0ZNZVNqAymrgX99OIPPY/ltB8v70n/4JFxk64W3VT2TfZtaTUNRlB1QyYgOyhCSSCBUdKARCYTQRf5bwReo4rgT7qE+uR7d9OPk0lQEu+ELbLkaoguIBAJFBzeRQAB9J6YWG0IQCYSLDrQjgTCGUPOTlZ23eVh7bs5TyFgTorwU4/zTMF3ZapzpmsHoHzxDbM3rGEKjMhApOrmrDEQwNJP63Hoa7db3mYpANT8ecw/rvvgPvl7HM3/lg4w66tfMr1nA/JoFzBp8c6v7SdqxmDn0+5T7SnbPh6PsM7aOY/N3F7Yev4JWYxYp+ft/LmLI4Bu2idm0Y7caj2UeL7lcPQsX3cDZJzyMlW1CM/xEJv4V3V+ihsF3AD5Db/Vv7xFgxaNsXPAnxoz5PW+89Tv6D/o50rVa7fMMTfDRh39l1JibaGhYxerPnsXvr6RXt7H4g51bXVWjvKQXYQziqY2krQZMw49tp/F7Shg28lo8ZghXg7nv/GabeBbS5cvPnuXwyqtaL7ytqbo7+7Jtrj2pa1GKorSwR44+hBBXCSFWCiE+EEL8TQjhE0L0EkIsEkKsEkI8LoTwND/W2/z7qub/P3BPtHl3cl2beHIDjfF1xJMbiqZOtJWXLL8fNIhIIF+bIRII8ftBg/CSBfLfBU1kuW/lrdz49iXct/JWmsgWfUeYWo4bhw4iEgg0byPAjUMHYWo52iokYMaw7xMJhJu3ka8ZEVLHvcq30TysXcaaAJCxJuy/PU95wmHm0OI4mz7wJB5aehW3vn0pZrejCJhlXDF0Zv5kjvxB8BVDZ2EAzy+9nvff/yM3DSzeZ2YMPwZvLsbiN2+kuvORZKxGPonOJ5HaSMSfXw3mL6se5brB/Yv2k9tHHM2hpeX0Ka3G0FXOV9nKVnFc+uKSbeJ35rCzaVj3JlcMu6M4ZofdwaJldxBPRomufYnbhx9TFLNd/X5uHzGyKB5vGT6Cp796GtPwcvyI6aQy9byy5Bae+s/FxNJfI9VUog6h3Otj5sjRRX/7GSNHIUWGTt+fjbeiN17Ny7hRfyAQ6sqyj//EbcPHFsXP7cPHsfqTv9D7oDNIpzaxdPEdHDngErxGiIH9LyGdqS/0fZtF/NXobo6ck2bph3MKK7M4rsXCFffSmPyap1/5GW42zq+2iuefDZjGB0v/yAEHn86HC+/itDF3UBLM/39JMML40bOK6lAo+6BtlvZU2QhFUbYQu3tVAyFEN+BN4HApZVoI8QTwPHAa8JSU8jEhxP3ACinln4QQvwCOlFJeJoQ4D/i+lPIHO3qNIUOGyKVLl7b3W2kXrmtT2/AZ897YUsDp1DGzqCo7qGgKxTdpTEZ5/p2ZHNZ7Al5PBVmrno8+f4LTBk0hHIwQS23g0fdmMKLH2QQ85aSsGAu/eoqfHHkN5YF8Act4uo5NuSRfp5sKldq7+kvpZAYpaeN69IlElA0b3yPUZXhhNY3EhkV06XwkoVDkW31Ge4F2GdaxL8ft7uBKSSzZRLahETORoeTFRfBl/gqa57pLcT0m9ZpFTko2JD7n+U9mF4YBVwYiTB31MCsWzeCAg87A9IaRTg6/WYIjczz18k8BOLTXWRze7zKS2ThWZhNrVj/B0H4X41gJFrw1nYHDJvHP9+7ge0NvJK6bXLfi/xJN1/DjXucy4cBzsV2Ji40hLKo0D75A2/aT3UTF7V5CxhrJ3vRA0X3OTRfTgCTnugghqM/WUSKgsyfMxtiHmN4wuWwj5aEe/G3eBABOO+4+nl3zBCN6TCDgqSBl1bPwqyf4cf9rSLgmMStBxknh0QUVnjJ8usn7K+5lfc0iRg+axLw3JlMSjHDOCXMIBbvsiY+iLXZ53HbkmM0v7ZnFchwcmePOD2czv2ZBfsWsQVPJLLqf6kNPJ+3x8Mw7t3Jg9XAGHfozhPCiawIDh02xD4mUdCeDSTLbhMwl6VLek0deuYDTh91IXDO5obnvi/iruWnAr6l0oSzQicbEel5ZNL1w/HLc8Gl4zRBPvPgjSoIRThz5B0x/OZlsnGx6E5++N5e62vc5+aSHWPD8pZx45uM4dV/hBsNoyUbMxc/hOWsqWknVN7/5vYfqa1tIPp4l89KWi2qBc0z8p6nRLnshNWRZ2SP21CU7A/ALIXJAAIgCxwE/bP7/ucCNwJ+AM5t/BngSuEcIIWQHXRsyma4tJCIgP19y3huTOfuEOZTsxMGiic7YIy7miben0JCKNs95n4nZ/CeXUjCu78+4/t0niKZjRPzl/GHgz5AtlndLyhzPrH2Z7/U4HR0ThyDPfPUc5/caT1sHnuuaF6eiH5e+9deiVQ50zdvm96IorpSsbqph0qInC3E069zx9HjyDURTEmEaGCVBSlMZmmSKexZeWvT8fG2IfNHWdWvnA3DMsbN4YfFNjB40qTA0uFf30bz8yoVFw4RrGz7h+8c/xMgxv8fQvEw4eia2a/HF589w39Db0LT/z955x0dR5///OTO7sy2bSsmKINKVUAKkQCgBET1R7+zlVM5+qMDRBYGIItJViiKoX9v37vQ877wTz4IK0hPpoQqICG6IpGw2O1tn5vfHhgkr0YPf906DzvPx4PEguzOTmc3r89nPvOZdHOjozC99i9XHS/E40piTMwybTUbWNUQz/N3ku0gSQlqyERkBEBJ0yoM1FG1+z9D49J5XkCKIbPhknLHd0F+/ZejV6WzOtrJVbCtbZbzfJrULEeyEItVkyC4iusyoTS8Y8/wT3a6jsuYg9rqnzfGcfLOg8M8FURBIt8l8Gyhj7u4XuarlUH7b5lZqoj6e/+INHrro10hyEocOv8sNA56jNuJDCR0lKrqZvPUNvMEqBjTP4t6ObZlwSneXubktcNmbgCDy7q6nmHrxnTitqSjRat7d9RTDssah6TphLUL/3o8RifjYvusVPtk0nasKFwFxrem6xnufPEhh9lg2fBrXtcvlIRrx4UjywImvkV4Zb/Ts0gCGjv1JPkuT/xDfWa3/PFfvJiYm/7/86KtkXdePAfOAI8RNCB+wGajWdf3kiugo0KLu/y2Ar+v2jdVt36geN/4niadoNFTA6ewWi1FUvirfzs0DX+OeKz7m5oGv8VX5dqLEjxMVrIYRAfGe31O2vklUsBrHEJAoaDqI0evWcMNH/2D0ujUUNB0EZ9Has1YXGF/y99O6HNSaPe1NzoKqcMAwIiCuo3G7VuAf2gfr3ddCkgtd09BiISyCZIQBnyTD6UESrLhc9a/LthT8AS9bdr/CoLwi3C4PSc5M8nuOZejg5Vzafx7NMrrEi7YFy/nrx/fij1azetdyXLYmtGl9OyPWr+XaD//GQ2tXcvOFl3L1+XmMybqOiCpQG9M4EvCimSHwJt8lyYX17msR0pIBENKSiSIaRgTENV60+T1UrAm7alrE0KtFtCRovU1qF67q/Cj3r1nJbatX8eC61VSFVTJs8d/jDVbxypeb6NN7DpqjJQP7L+HCFoWIZieNnxWRkA9NELil9W08vf0Qwz9bw9PbD3FL69uwuVuArtG83a+5v3gat26YyAldNIwIgCtb5RpGBNR9bxe/Te/OIwhFfPjCJ1i6aQwL1t7F0k1j8IVPYJfd+GJ+Vhx5m/JYBNXRij595tCiWR6RaACIp12EIj78AS/JKRfSpEkXXC4P/Qvn8PX+d8m7ZB5iyT8TrkVI9YBp6J7bmAUsTUxMfoAfPTJCEIQ04tEOFwLVwF+Ay/8Dx70PuA+gVatW/9fD/WSIouV7Cjid3Z9KEGTSmg/k/rXv4lX8eJxuZucOQagzG2K6ltDzG+IL1dgpN046MjO+0+pwxpbNPN//0jM+j+j3dNOImtY48PPR7X+biKY23JUlMwPBmQLo6McPQKCcWEZz7s6ezotbi6hQvGQ4PdydPR1RECkcOJ9Vn44lEPASiwZxuzwcr9jJxu1LGJRXREgSWb57vrHf73s8xr7drxMMVQJgtTjY511Nt/Z3MnXb/u+MjU0sLLiMkev/YYy5qT36kSxVY4+FESUZmyPtZ1Eo0NTt/w1BFCCzKfKo20DV0K0SMT3csMbROf/8ARw9uhqXy4PV4mTTzucZlFdERIslaH1op1EUbU6csx/bvJE/dB3C+M+Xk5V6ATdfeAkPbvjA0Oic3IlYRCu6rv0stPl9/BI0q+saSthHRfg4SGkNf3/3u5SIFmHS9jlGIUqHxZGwHki2uhrUYqq7NWu2PsE93Yt4Ydt0Y568p3sRkijz930L6ddmONO3bsCrbKlbd9xLNHzUSNnYuH0JbpeHWv8xcvMmYrenIUZCdG15FXIYKLwbNf9adNmBEAki2dNAtv9on2Fj42ehW7OApYmJyQ/wU6RpDAa+1HX9WwBBEN4GCoBUQRAsddEP5wPH6rY/BrQEjgqCYAFSgIrvHlTX9WXAMojn1f3Xr+K/hMvRhF/1m3dazQiX4+zyJYO6xMTiFXgVPwBexc/E4g9Z1vdqkomHcg5onsWVLfuSYk3CF63l3a/XIp7S5ULVaLDtl3oWrrZF4Hu6aZzV5fxs+bno9r+NLEoN6ki2WBBEAd1fSfjVMQjuDLhtOm/tWMQtWWNxySkEIj7e2r2IYRePJkmT6DP4ZVRRRpYkrixcTLniRbQ4kRxNebt0nlHpvULxsnTrNCb2WcqqdVMACId9pDo9CFLDbUCrI6GEMff4ljU82+cK1rx5JY4kD3mDF2BzNkGLBhEFC7KQhOB0xm9OzyFM3f7fEUQBkuOFA/FXIH1P5yFZkOicN50OOTqSFuHE/nfIzbqPgBrgmY0PcVGTXEb0XoIgSIi4G2gzW0uy7AJgWPtLmbF1dYJGJxR/wILOncmwu7A7miDrjnNSk/+On7tmdV2jovoAtdEaFm8r4p5eSxqcozRdwOpswtiL/0CKNQ1ftApNU/E40gxDoiYaaFCLNtHCFT0eRtFV/tBnGQIQVL6hZN8fGdhtJPmtbqgzIk5dd3zEsr5XMaDXJDZuX4ISOsEluUXs2LKEUPAEl+U+hv5cPK0u1vNqtH43cnDlLCJ+L7LbQ9uh87D/gjsS/Rx0a3bTMDEx+SF+iscgR4B8QRCcgiAIwCXAbuBT4Pq6bYYB79T9/x91P1P3/ic/13oREI+MaJLanmsHv8jtV/2Dawe/eNbFKwFiOsaC4CRexU+s7pNzCBL3dLiOhVsreGDVPhZureCeDtfhOCVcN24kJCUcw+NMOisjwalHeaLb4IQq8U90G4xTP/OOHCYmaTYX8/OuT9DR/LzrSbPFb7L0WAS92ov+dSnWyjJ84RMsLh7H7LX3srh4HL7wCVBjnJBbMnzdAa77YAv3rdrJt1oay7/+mFs3Tea+TY/Qr+3ttEnrYvzeCsWLpqscr4gXwtyy+xWuyZ2OGqttcGxUhYMJr3kVP1rddBWs9bJp5RiqT+zmo79czWfv3Y2/6iDaiUp07Wc7pZmcAXosggWVaT0uT9D4kzlXUx0WuH/1Lq77YAvD1x0g2upK3NamuJyZpNiakN3yKh4sfpRrVt3P4cDXDeoyFIt3UUqX3Q1+L0j2NIo/Hkd15V5Tk+coSqiKFZ+Nxm7PoELx4guVNagFNfAN1WEbC7cEeeDTQyzcEkQig1m9bsfjSAPg3SPFzP5Od5f5edfjQqMsWsO9mybz61X3cv+mRwiIVi7p+hCyZMdta9qgvlRdICOlDX27j6Qweyw7tiyh4sROAgEv2inrCaFzfw6+N56IP24IR/xeDq4YhxpKjNIwOcc4rZvGT3Jilh3fAAAgAElEQVQWJiYmjZQfPTJC1/VNgiC8BWwBYsBW4q7vCuDPgiDMqHvtxbpdXgReEwThAFAJ3Pxjn/OPTTxV4/9W2VwSweNMXHh6nG6kOvspqlmZvH4HXiUEgFcJMXn9bpYVdjW2TxJ1nu49CK8SxS7JhNQIHqeVJPHMv0lEXUc8sYVlBTej6iAJUHH4Q0TnwP/T9Zn8shAFgbbJzfif/sOIaCqyKJFmcyEKApquEbAKxEa8iOivxL75A0YOnMPCzycYYcT3dysCqQkT1+9J0Pyk9XsY2eMqVpdvwBssZ9qOhUy9+E6WbhoDxGtNWETZSJ0Khk7gEB3Ignb62HDJPLtrfcJ5e5xuYoFvjJ+DtV4sFofx/03rJ9MvezZ2u63+KbnJL4qT+pXRyZCtTOhWYHQvSrOm8uDq0kTNlnzJ8gFdEIUoV3S6n2k7Fhrh9sv3v8TUnn/g8c0leJVaoz1tshDm3UtmomoiT+dfywt711FafRyIa9Quu7A5MrBYHGz6zNTkuYCua4SDVWhqBFGSUbUw/oAXURDJcHr4cP9zFPUoYvqWLYYWZvboRSwW4OH1uxM09Xjxlywe0JkX+vyeQNiHzWLDrkdYXnALqq4jI5KGTCUBxm5+wtCbN1jOI9ufZnnu41h1lVRbasK6Iyu1Ofd0KkDXHYREG3tL53P06KfGNbhcHsRTDFzdmWwYESeJ+L1oauS//XGa/Dcxa0aYmJj8AD9JNw1d14uAou+8fAjIbWDbEHDDj3FejQVNVYkqFWhaFFG0YnVmIEpnV2BMIMqUHgXM2LLOyA2e0qMAgXhEQryWQyhhH68SSqjlIAAxzcH8Ej9lgVoyXRZm9UtGIHzG5yFbnKSf150/f3qH0dXjpoJ5yBbnWV2PiYkoCGTYE2+ONF2j3HeAP68dXa+v/CKa7d3BpD5LCQQriIQq+XrXn+iY8zhe5cuE/b1KiBTrefU/B8tJssXr42Y4PdyXPR2rYOE3ebMQnCmIWFF1laqwn4hqTxgbM/Jl7u/Ynf01FcaYe7LHAI5smGYc35HkIRqu76AQrPWi2SXOKvfJ5GfDd/Xbu/3tdOt4CzFdw4K7LlXu9Hk6goBbsNDU1dK4MQQo9e1jxdG/sbTf3cS0GIIWwXf0U/yeq5j08XHKAjEyXRYeyb+Uxbs+oiKiMKN7b/Z8PptO2fcSDdeYmjwH0HWNmsoDbFo5hmCtF0eSh/wrluJ2eQgHjnNf9nSWbS1ixe7pFHUfRVPXBdhEC3s+HknLvCK8SnnC8bxKCAERS9RHElH+9ekonPYm5GTdS1pKW8KCjeO1PoQkOxlyWoLmvMFyaiLVPP/xMHq3v4M5ebcyYdP7ZMhOHup8KU9srKYscJRMl4UnCx4DpnH06Ke4XB4KB87HJiQRTfWgV3sRIkFktyfBkJDdHkTJbAN5TmNGRpiYmPwAP1VrT5PvQVNVApUHKP1wLCG/F7vbQ9aQ+bjS252VISEAB2p282zBdeh1P392/BMucOUDYBF0PE57wkLX47QnpGAEVBsPrymnLBDvwFEWiPHwmnKWDmrGmVoJAU3hjXXjqK7Lw69WvLyxbhx3DnyRFJLP+HpMTL6LrmkoyrfGjRzU6WvrdO7u+xzWYACHqpOa3JamPUYSFhvWvC9aX7jN42hGqpzKzEF/RRQlrIKVQ0c+pt35hci6hRrBSlAH7GlMXvVtwtiYsrGGOb2CzL64PRZbGsmu5tjD1RwNxkvcOJI8ZPd7lD2fLzJ+nyPJgxhSIfXnWzjQ5PtRQpUJ+j1SsY0WvkGkuFpRXXuEtGRXw/M0GlHfUeTkTDyOZsbN4dUthvC79sMoD/mpDAdYcWQ7o7OuZuQnifP4ExurWVh4GX5fKYc+n0HFiZ307DmSbauLTE2eA4SDVYYRAXFT8/Duv3LZJX9ECdfilp08mP0EKiqxmIJNOYE7ICA7m2CzpzSoKSVwDMlhJRgL0y9vKg5LElt2vUTLi+5nyraVRovPaT0eYtGexZT69sX3dTQjGIrPcRu+eJXK2iM8mz8ehCRGrqpM0N2kdSdYOuhxevY8Trj2OEdLlnFhl9tx3v8Cgq6DbKftlQs4+O6Y+poRVy7A4kz7kT9hk/8oZmtPExOTH8A0IxoZUaXCMCIAQn4vpR+OpcfVL2FzNzvj47hEmez0ATy0Op6K4XHaebLPAFx1KRYuQjye04qpJUeM9x/PaYWLIBB/+hzRRWMhcZKyQIyIfuaLVFWP4bI3oTD7EWxyGuFIFSV7nkfTzb72Jv//6JqGXvYNUUkxbuROUq14iUkC+0qW0brzzaz86AECAS+XXfknnux9MZM27D5lTHQGoZJl+U8TVBUy7W4ELcb8jQ8ZKR73dS9Ci4Q4FNaZuD0e8vxC/2saHBu65KDko1s5//wBZPccSTRaS+5li5AFG0JtCNVlo0WPkbSwJkG0lqaWZGQxHZJcP+bHZ9II0DWNWDRk6LdFehfyu81iavFhvMo2PE47c3tHmNX7Ih7esCdhnhZrD4Ku4RZl5vV8hHGbnyBDTuOG1rcycu3HRlj+lB75+CKRBrUaDFZS8smDZDTpQv/BC4kK0KbHvaRYmmGVm1EpC0QUP7IokmZzJhQ3Nvlp0dSIYUQApDbtgnTBtQxfXT+3ze7TmeZyCFHTkP+yHr1VczJ6PszTu7czuVdXZn7+hbHtjNwLsUgVzN04hgrFS/fMQq7v/DBdezzCkYCPDDneXcOr+Hhsy/tM6DaMUSWT8TiaMaPrSEq2P2Ocyz7vKgZ2vp+o5G5Qd/7ab9m6egQ9+k4jolRQumoq2X2nI6e0gEgIu7MpHW98GV2NIkpy3IjQBXR/LagqSBIkuX52BVZ/1pgFLE1MTH4A04xoZGha1DAiThLye9G1syv46FetTFq//Tv58bt4rrAbLkDQVVrYNZ4b0BkVEQkNm+ZD0FXjGJIImS5LwoIi02Ux6k6cCZIgk9dtClO2fmg8WZmRPQVRMMMuTc4cXdOhNmAsRnVUoi8vRfr9vaQ6PQmGRKrTgyTa6NBnLDFdY8CvlqMqlSiqhZf2f8Wo7u1Ilq3URKK8tOswv26Xyh82voXHmcKcnGv4y77EjhrLtk1nXMH/MrF4pVGdvjKsNDg2YuEKzj9/AJ2y7+XltQ8ZqSM39pxO09R2HI3FGLdrl5HGMS/vV7Rxp5kL63McXdMgUAuxGFgs4EpCEE+fKE/VsY6GhGbotyBrAo8UH06Ys8dv+IIXBnZlcb/26FgRiOISwgS+/grHBbkE1CA2XePZ3FlYRCfD13z4nVaOG3m69+UNalWP+slo0oWsXiN4u6TI0Opv+y2hjBjjVte3qJ2XfwVtkzNMQ6KRIEoyjiSPYUi06jWeMZuPJmhn4vpdLOzipElSCtzYF79gY/yaj/AqtVSEgozq3o00m4PmDgfB2t0srmsP2ya1C/3aDOeB9e/Xp3hmD+LZ3Z9QWv0NXsVHK+d5vJ43E7c9jTXbn+ZY5U7j3Dp6CvGJyZwIVjeoO0ELcnH+GDSrTLtBRRz4ZDp6cgaaUk1k0W8RUj3It89HaNYW0WJB13S0E5VolWXoNgkhrCI0a4FosSCY5sS5wWk1I0w3wsTEpB4zDrORIYpW7G5Pwmt2twdBtJ7VceLdNE7PNT7ZTUOQbASJcrx2B/7QPo7X7iBIFEGyGdtLQpRH8lPJdMU9q3iucSqScObGSFiwGkZE/Bx8TNn6IWHh7K7H5JeJpmv4QieoqD1GdflXhF/9B5G3PiSmB9F/ezM2SebGXo+R6oyPmVSnh1v7zKcqWsnMdfcxceWveXLdvSgWEaujOZ95K3h4fSkPrNrKw+tL+cxbgaMuH9mr+JhQ8jcK29yRcA4VipeopiW0yXt1/xYm5SWOjVn9mtEyoyU98ibwxvrxCakjb24uogoYt/G9hLZ34zb9i+poYgcOk3OLk1E6kUVzCM+cQvivf8RXW8YJ5Rt8oQo0XavbTkcv+5bIM68Tfvx5dEVBFq3c1HsuqU4PSc4WDc7ZIQ38gb2EwgfwB/aiohM7rwMz193D85sfoTom8tCGv1IW9DfYyjGiKzzZt1miVvs2o0VaJgWFswwjAuJaPa5UnK7Tje9RFVb+2x+lyRlic6SRN3gBjiQPqU2zsCSd36B2sKcTDp5g79rZBE+Zw0qrvmXCppXc+9k/UfUIdnuqYcAO6fD709pzzti6ijs69AHinTUqaw7wxqd38f6maeR3+C2pTg8t0rtwc7+FDOwxhfHFb/PC3pVMyktO0N2MPBdOq8rH2+bz5sq7eGf1CFoNmIAg2dHtLiy3zwN3BpHXxoKvPD62FIWYcoyyTydy7M3fUvbpRNRwGdG3PiT8+PNEnnkdvexbs/tLI+a0v435pzIxMTkFMzKikWF1ZpA1ZP5pNSOszoyzOk68Lef314QI6VF84Upe2/GkEY5+d/Z0HJYkHHXbR7QYi3etZETPfJJlNzURhcW7PuLxnMFnfB5xUySxLZdX8RmmiInJ96HpGsdqDvDMptGGRkfeNIsmmszBt++pzym+6mnu7LcETRAQVRVVdrBo3T0J0Q2LS8YzvuCN76kZUX+T5VV8pDrOSziPDKcHXY/gcSYlLObfOLSZ+YV5iAioyjeki9/idJ6PL+BtMHUkqqkNtr2LaGahwHOaQC3Rl5eiV1VCq9aUD8ll4cZ7Dc2OynuKFsntEGoVoi++jV5VAxd4CEs1HHx7PEktc/hd38UEJWuD+hQFnRd21s/TD+bM4R/7XqBC8XJ79yeYWmf2+iJKgkbj+yfhssgoh//BkgGXoQlWYhX7CK9fBLn3oLuST9OqZEkyddrIEQSR5PR29L/qFRQ9wmH/4Qa1I8t29nz0KM37TubrQHWD+jhee4gMu5PumQPYVrYap5ze4N8/RXbgcabwePfBFO+YCcDRyp18vGMRvxv4AtWRKhaXjGdYj3lGSseSPe8woudAkuUUPA4Xdr2SKn8VDnsT/AEv/oCXf62dwDUDn8O/YipabQXNhk5HimmgxdB936KJULX5ZVIHj0W0J6OFaqhav4z0vN+hlx5Ar6oh+uLbyKNuM7u/NFbMNA0TE5MfwDQjGhmiJOFMa0uXX7+ApscQBQsOe5Oz7qZhFVUW9O2CVwljt0iEYioepw2rGE/DUPUYL9aFZUL8hu3FrUU8XLDcOIZF0KmIKEwofsd4zeN0YxHO/JtEQmdAZgeGtupBitWJL6qw4sgWJPPbyOQH0HUNX7DcMCIgrtGFOx5mbKdJRPxenJlZePIfAIsFreooZcXLiQUqyLzhOS5qksfg9vcgYEUnysovXsAqKBTltGL6KXVSpuS0Y/HuFWSlnscdHfpzniMVm+hg+iWrENCpDX+DLGp8dGAZRT1uS2iTd3enLujKAUo3LwCgfffRBKR0LGIKHT2F7POuMq4n1elB0iINttuVGwjnNzmHiMXiRgQQHDKQhaVTEzT7zKbRPFLwAk5E9GQXVNUgXNqNg/+KGxHNe/6OWLAKWU5nSk47ZpQcSNBnVfBIwvGWlExgeK85XNN5GqJgY0mftlSGAkiChYUFl7G4tITV3iN1bT0LkdQg7pZ9Ob7vFTI7/paoPRlb5xs5VryczIHjT0tzUmO1pk7PAQRBxO7MoFbxsmLvAqbmzODxkqOGdmb1vghHxEvI70Wwp/HCntVM6TGYGVs2GnPY7PxC9pW9g57aheuyJtO39S1oWui0v/+AzAs5z5HOc73voDb4TcJ51IZOoKKzuGQ8FYoXWRR5Ov82HJKML6rwyv5PqYgEmJs9gOc/vYOOnkIG9FlAMKwQCpaxa/diQqFK3AMegLBC1CqhJ6WjvzEV/BVYfr8cd/8HqJWTiAkWLMkx3P1bQqR+TaRX1ZjdXxozphlhYmLyA5hmRCND1zWq/IdY8dlo/AEvbpeHof2fIiO1HYJw5otBQRAIaxpzt+xPKNZ38hiarhkL3JNUKF4jpBggSRSZnXs5E4vrc0dn515O0lksSu2iyD0dhzBp/a5TzmMIdtFcOJg0jK5rBCoPoKhKgxrVZUfciOjzIHtWP2ZEEF00YBpVe/+FLLnoc+HdjNjwN6NOyTP5DxBBJsUW4el+HQhGFVLt6VSEa8iwJ3FTm/78ZX8ZN7RP4+H12065GWyP1RLjm5qDfLN7OpO7Dsdta0q6PYMtq0ZRcWInGU260KrXY0zYfACvchSP08Gs3lOBeDG3VKeHG3IewxGqZG7uEMYXf5iQi59mM9vcntNYLAhp6ehVlcRcjgY1G6j9hr0ri8i6dibWt0F3ylhcGWR0vZ7t7z1IyO+l523v4raEGdezBQ5JJqhGaO60oOtNmdj/LXyh43y4fynnudsSFVoy7rNdpNtlHujShhklXxqandm7J2O75hLTVZ4u/YjVZfsZkNmBezrcwe/XbcGrBPE4HTyZMwYrMjf3fSqhNW5zVxPm5V9hpGqYOm3cWEUrvsgJVuyewqTsh3BaWxFRa8nQj6MqFdjdHvRQFRWRAM/uXskfuhaQIjsJxiKkWq30PP83fFX7LcdDtYRI5gJnBrNzmzOxbp4akHkhd3fqw/DVGw3tTO81g007phAIneD6nOlEwj6j3oQuNGfe5vqCq0W5V2G1KOjRclqkd+HiDqN58LP6dcnjOTPRVC9icnN2rnioPiL0ymlY3l2CKogcsyQxfmP9vDk3dwit5HozQkhL5qyKWZn8uHxnuWd20zAxMTkVQf8Zzgq9evXSP//885/6NP6/CAQreOvDO/AH6he0bpeH64e8istx5qkaZYEgw1dtOy1s87nC7mS6HFQpx3li7V0JC+cMp4dH+r5EmrM5AMeVGuZtX8PQCy4iWbZREwmz4qs9jOvWj+bOM2vLWRYIMHzVjgbOoyuZrnO2g8B/pVLWuazb/yQRpYLNfxtGi75jWLhv/mkaHdtpErZolH0b5ycUe7W7PWRdsRC/1c2C0lUMbdWVFNmBqmlYRStFmz82FrNF2b05P6kJ34YUXJYkRq/Zzaju7Xhm24HTtDquZ0tSpBrmr7uNDKeHh3LmkiFn8PnGWRw9upqcgUuZVOrHqwRP2c/B8wNyEYNHkKwuRMmKv/pLjh/6hNQ2Q7GnXIjdavuxuxSYuv0vYHR2eXkpynW/5omvHj1NsyM7juXgv8Zjd3vIzpmNEFNRnDXsXTfL0HDP3/6DNVvm077jHdhd51MZDiIIEtM+X2no9rGe/Ui3pTHys/jN3qw+WQ1q9tnCrty/7mUjRW5O7k0s3Ha4QY3ahSA6GrquY5FknLY0QKAqrBDRtMbQTeM//ot/TpoNB6v4pvYwS7ZOOaUTxgQQrNhEC/ZwFQc3LcKWN4YJJX83DNqp2UN542AJIzoPYsSGP9e37sy+gtZON5X+YyDacNqbMmLtttO0s7R/L7SqnRwrWU6znsNYuG8+t3ebw6Of15ymx6J8DzatmnA4yvTtsdPef7pnBs5IOaXvjTJet7s9dO8xltqW3bln3T9Pi9R5oeAq3NOWI6QlY737WoTMpo2piKU5156C/9kQkc31xdFthRaSbrf9wB4mPxGNZgCZ/LIwIyMaGaoWSTAiAPwBL5oWOavjxHT9ewpYxs2nJNHJiNz5LCoea+Qij8idT5JY//QrqmlUhIKACLoFiFIRChI9i9zhf1dI0+SXi6ZrKOEqYmrEuAkSBRFNjRDyeynf/ArDC4p4bvv0+poRuQtI0WRiYV/DXWdEEUGQuKltDo9vXYFX8fF0/s3M2PpxQkG26Vs38Fzfq5lb+hZF3e/Eq4RIlq0NatUhyaQ6PMwa/HeCSjnFxbMJhk5wRb95AFhs6aTbI4zq1tno0vHavgOoSKiiyOtrHjSeOl/bq4gvixcSDlbQ/4qXEGSn+fV/DnKadptnIo+YgEXTGNV8Ac8UjzE0O7xbEeXrlgB1Gs1MwyLI2NTUBA3rUYVuHW7Gr8VYuOtTRnS+hJHr303Q7bTNa1hScL2h0+/TrPqdWj0pVqdxM9k5PZXbO8Y7ykQ0jXc2jScQOsHNBQtoJnoQIgokuciwn7Nm8S8KPRbCHYkxpvsTWFwtqYxGGL7hr4a5MC/vejoUTMAvyozOGkyK7MAXCfLs7lWUVn3D7e3zEwpMP7b1PZ4vuJUMZwp7DvyNC9vdmWBEAKTbbWhYCFkzSe/xIP5D7/NA98eQ7OfjVbYkbOtVQqRa06n2H8Yut8KrfHXa+1ZXJl+tfyLh9ZDfC81bE9VpsIZFFJAfvAU9HEG3WMxptDFjpmmYmJj8AKYZ0ciQRCtul+e0yAjxLLtpWAThewpYxr+yw7EApduf596LxyLLKUQiPkq3P09Gz4lYcQMgixIPZvVnRslOIzxzSk5/ZPHM61f8u0KaJr9MNF2j3HcgITz85oIFNEtpiyDFO8r4y0th3RJG9hyL5EjH6WpO6IO51NpTcPW7h67XvEhUqeTo1lfwl5fGu87UVe0+aUQAOCzWBhezmg4V4RoO15bhcdqpiUQb1GpQjYAu8sm2pxjUbQQ52SOJRHwU71xG//yJRAQ3D2SlMuPz7fXjpFc3ZFHntfXjEjoVvP35dK7tNpatK8ej+qrR/UDjeqJn8m9oULt9nyJDboqmh2hubcaU/q8QjYUIVx+mbN2SuJap64yka3j/93ek/+ZJOl/xDKLVQSzkIxqs4ou9f6JT3iPc1LYJOg3fhEmnzKnfp1lJEPA4U4wx4IsqeJwO0u02fp/ViZmnaPXRno9RvHMaf143hrvaPYlt/QGEa/qgSzqiJGNxpp1ViqDJj4soyVhtyZSp4PNXMXvHBwnmwrhNb/FSwW8BjadKVyaYVB5nCpXf6ZLiVXyousaH25+hMOs+CFXhcToSzKwHsjrxwGf1aRtP5txLkhQgJloa1KNNktjz5Ttc1PrWBt+3CiLRYEXCedjdHkI1x7A2TWuwhokVAYiBGiH2z1XINwwxC1g2UvTvPr8yzQgTE5NTMFcYjQybZmNo33m4XfFWhW6Xh6F952HTzi6kzSpqzOzdGY/TDlCXS9wZa12tBk2PEQhVJuwTCFWi6fU9wTVEw4gA8CpBZpTsRDsL2chSjJl9Lk48jz4XI0uxf7Onyc8NXdPQ/RVoVV6UQLlxMwfxG/U/rxuDP1CGIFi4qPBRw5A4tnYBrmgMuaoMLVCBmH0lH3xwH++9fxfrN8+nZf6DZLQeQNaQuRBW0DQ9YcHtiwTxON0J5+JxuhGI8liPW3j367VMzrmQ9770MrlXpwStTslpT5osYREhv/PdzN04gtf3LKTWaqdLjzEogoCm64YRAXXj5PPtqJreYFcNiz0FR5IHoSZE9MW3oTbw3/zYTf7DKOGq07W7djS+6kOUvnwl+964HdlfQWjrWyQhGzdZ8c5I86j+eAFiUgYhQWVt8ZP868N7Wb95PrrFSs9eY0AQeXzrCkRBaFC3sqjzZN2c+treI0zJ6XTa/GqXNGbnXoPHmQLAiiNbebJ3D+6+qL1hREBcq49uPkBOp3j0jpriQB3Uln1/v4fSl69k75vDCJ44gH7a3YRJY8HqSCPsaMrk7StxWOQGu1dFdQ1RjzCtx+WGJjzOFGblXMOKIzsSto+/H6NP53tZVboMl9PB7N498Djjfbbuvqj9afPdpJLdVMViBMPHmJLT/rQ5VBZUruw2jgvTWjE7P1Gvs3pdSJLqp8uVz5J1xTO4m2UZNYDKipcjB7w82WOAMRY8TjdP9hhAkr+CyNK5xP75v1j6d+HnmHL8s8GMjDAxMfkBzMiIRoYQC+EOa1zdbRK61YEQDeIMawiWEOD+t/ufRNVVZCnKU/2yEAQRXddQ9Qhq3ZeAJMrk5UzkRERBFp1ELDp5ORORRLn+GJpOus3GqG5ZJFtt1ETDvLb3C9Sz6OcdVBXWla9mceFQdF1EEDT+dXQFvzp/AJByxscxObfRNQ39+AHCr45Br/YSHfvHhttfhnzYbRLedYvomD8WyZ6MGqrBu24RrXqPJGnAcD5eN41AXeRQIOBl3frpXHbZcso3LSe5TX+sbk/CU+FX969nWo/BPLblEyP3fk7uZdgkCasgcU3rfFzWKA90a4VNtPL8wGxUDVQdNGKAxrHgCZrYmnNXz/kIAozfOgtvsByPoxnP5jx9WhizVwkS0/XTOhWkOj1o0SB5g+Yh++yoyS6zCvw5RkyNNKhdMSkDZ2YWSlkpB98dy/n9x+JdvyRBx7KczIkvVpN+yxI+XvtIgo5LS1+lW6+R6JqVR7NvQNetPJlzGZNKPjB0O63HIDQtQjqVLOzXEUG0I4sCSwZ0QUNAFEASYgTUAG9++SbP9L4Fi2DFKoi4tDAul61BrdrlC+IdX9xJfPP5c0Tq0kcifi8H3x1Dpxtfweo6u/bSJj8OgiCiCmJde9dgwtwHcXPBKgioiKhakGcLbkFERNN1qiO13N2xgP015UZaxxM9r+CvpbMZ0vZW+lx8JzEtjO/An1nY73b8sTDJVleDGnLYm6GEvsRucTGuZ0ujCKvdEqZKOYYjFqWpqxUpxYt4vs9wYpKMVVeRI9+y5v2xBGu9OJI85A1ZRFhMxR9WcOWMRLTYSNNqeaJrZySLCzUWIE2oRceGAPHCsX95BevwsT/yJ29yxnzXKDK/8kxMTE7BNCMaGboeo/ydicRq6he7tckePLcs/4G9TkcQBHQ0EGKAAIKOrmsIdWkaUVGkUrUyfccmYxEyPXsIKad0yrCKAiO6dmX6xsOUKREynTJF+V2RzyKkXBatdM+4mPs3jjBu3h7tNgb5LNNOTM5xAlWGEQEg2ZIavFGXrA7QVWKBCr5cMc54T3Z7sLjS0UTBuIEzDh3woukqqV1voDISwq6LLO59Cwt3fcLqsv1URALYJZHJ2f2xS1aSZZlIrJKYlsGkza/jDVaRlXYBw9oNwuNIR9RTmbj2oKH5mQUX8qcDpawu2x8v8NbjcjLkNLzBcrzBcr6NnDDCmDunpXJ7p3ak2WyIgsSt/RbzxzUPGeH8NxXMJ3OO9y4AACAASURBVK3GAn/cgFoTwHLLFegWycx3PoewSHKD2kXXaTFgAopyHNGeguhqCmDoWHZ76PDrJViSPYju5qfpuOPFv8UbSWLKxi8N7c3q24bpPQehoROMRUmTZWSi/M+6kVQrXu6/8iM++aaU7k06MKH4bWMun5N7LdddcC2jNrxlvDY7+1ek2SzxdA2bjds7tSNZlgnFYliEKq7rWcThtXNplX0z0WAFSlk8tSTi96KpZ1ezyOTHRRYteJwpvPrFBp7sdQ3VkTAOi0wwFuE8SUArfpXq7Bv5y6E93NQ2yUhj8zhTmJt7Hc8W3ExVuAZf1IfLAoVtbkMTndgcTZB0DXdmd4YXj6Wo63ickovnCwuoCod5be8BdlVV43E6kATQBYk5u+bxu3a3YRdSiOg+5ux6nYc7DePdz4u4q/AF3D1v5ODf7yTi99L2umVsWltEsDY+FmyOJhyL2Hmk+GtjDMzu25TNex5ln/dT43pTnR7u7PMsJ+NF4611zcftjRYzTcPExOQHMM2IRoauqwlGBECsxouuq9+zR8NIgoCIhWOBAA7JQlCN4XG4kOrMiJAmUrT1w4Tc0qKtH7Ks4BbjGJouMn1j/KYMoEyJMH3jYZ4b1P6Mz0PVVf546B3GXvwHUqxp+KJV/PHQO0zIuu+srsfk3EaPRQwjgpZZqKLILQOWUFV7lDW7lhMIneDaXkVI0QiC3UWbSx7l0MePEvF7kd0eLrx8Fv5oLborjYLBC9m7bTkVJ3YC4HJ5ECU75VYbE7Z8hlfZgceZxKy8/ozpcglf+iuYt/NDKsIBpmQP4dFt86iIVPFc7mwybMlM6XYHmfZ0jirlhGMij25I1PzkdV8yqkdPVpftjxd42/I+o7vcyrjNRQBoepgpOVm8sf8IN7Rrw8zP69vWze5zEXcPegVVjyLpEvKba9FLD8Q/EyD2p/ewjrrtR/97mPz/47SlcWu/xVQqx7BYHMRiQZLlVHYf/DttWl/Om7vmG+bTLYPmkBb2o1vt2Oxp6BGNZrcsJSaJuFyeBENCTOrAlFWHE7T38NpDPFPYBp0QZZqPxfv+l4lZ9xlGiIjIoPO6o8QEFvUehqqr/O8Xa5lQ/DYTu16WML9P3PovXuh9A/Pzu1AVszCjZJ+h01m9O1FT+gYVh1cTqNhPx/yxCSaKKMmYNF7SbC7m513P83vWEFZhzrbNeJVaPM4k5mTn4GxXyPjitxmdNTihno5X8TG++K+M7pLLuM1FZKV0ZELWKGq1FByCg4M1Plo4k3AlnU+GnEaSpQWj1+w2dDO510X85cAh7rq4HQ4xTJWqkGFLJ16VN/4vw5ZOsiODwdlj0QUBLRbi/P5jOb75ZSyuDMOIAGjRbQTji79NGAMT135JUfYtCWZEteJFC9dHZwhp6QgWcznbaPmO+WBm1JiYmJyKOXs3MgTRgiXZk2BIWJI9COLZ/alimkBVJMScbRuNRcm0ngUkWeOLyu9WW4eThavqf1Z1wVgUnKRMiaDqZ/4cV0DkltZ3MbPkCF6lKr6AybkLgTMvgmly7iNYZIRUD7o7gxO/eZCF6+4xug08lDMXW6iWr0r/TJOcMVicGUihIB2uXoQa8qGpUSosMRZtfcTY5/c509lfsohQ8AQDCudyvPZbJmzdjVepBcCr1PLwps9YXFDIhe4MpvW4gvJgOUv2Pkupbx8AVlFiRKdbmFFyEK9yCI/TzsL+3SlTjiWce5kSIVmu7yzgVXwkW+tTjKyinWd2/oupPa5l7JpdRnE2rxJi4vo9PF/YhWauJuhVPsJ1RsRJ9KoaBDNN45wjpId5YeeT9XrMfowLzivgzVMKlrrsTfDpQZbtery+Y1H3GWRoqRzauIiCPkWsWz+dQMCLy+VBFawNzrciEo9se8LQ7Wh1mBGZYRUtlAd1Jq3fZdwgzuzdFwCHJdFA8Co+fOFq3LZmjN2wJ0GnD2/Yy/zOv4J97xDye7E404C4EdH2ygXGzyaNE1EQaJvcjHFdL+f+z95PmAcnbC1hab8heJUVpMiOBr/3T85nD3W6h1DUybzNBw09Tclx0yqpCfe1v5fJ6xN1M/Pz/TzV72LsUoQtO56nV9ffc1/79kzctNpYd8zKu5/39y9lz4lNjMiZh7L2KWKBCi4YPA1RknEkeQxDQrSlU6YkFrIsUyI4bc0SXkt1epACcTNCSEvHesf96A6XGWHWSDm9gKXpRpiYmNRjFrBsZAiClaa/mYftpmVY7vgjtpuW0fQ38xCEs0trUHWdxzavS1iUPLZ5HWrdl4BcV239VDzOFORTesmLAmQ6Exe0mU6Zsyn8r+uOOiPilAVMyRF03X5W12NyjuNKw3bHAsKX3cvC0nirToAKxcvikvFEtAgXdb8P2dWMcMRH0CGjynaqPnmKQNRvGBEn91m6rYi8/o8z5LJl7Ni+HE2wGFo/iVepRcfKPt+3LNn1GYJQXwTW42iGqkl1RkS9Nr+uDTao+ZpIfZFJjzOFdFsyy3rP5pmc6TSxJVMRCVAdVn64ja0kIaQlJ7wvpCWDZE7D5xL+cBUL61oiQ50et07D5mqekLrR+6JhLNtalLDdom1TqFaOUXF4NV9vXMIllyzisstfolfuWARd/bfzrcfRDDVUzU195pHq9BBWJcOIgLjeJm/Yze3t+xGMJRobHmcKkdAJakO+BnUq2uM1IexuD7KcQdawf9LpxldwNGlndtM4BxAFoa4Dy+nzYEhV8ThTjJoSpzIgswNpcirL8hfSwtn6tDlxRslBYrqFVq7zG9SNJEiU7niOvV++g6KJhhFx8nc/vOkzsjKHxPVfMo60guFE/F6+WvkYIJDdbxqOpHjBbj3mb3AMJNuS46lQxI2Im/Pm4ko9H3l8Eda7HiK6+QDCd+pYmDQizAKWJiYmP4AZGdHI0AUbR2xpjN9RbBQtm5tzGW2Es7t513SNXk0yua1DF8S6iv+v79+JVmdRu0WBubnXML74b6fkjl6D+5SVryxoTMm7gBmbvjLyN6fkXYAsnPmT3HgExukLmLOJrjA59xFEEZq3Q1VcVOxMTEOqULy4UlrjsjfHX/Mln34y2nha3P+S6agWGxWKlzZpXRjS4U6c1lSUaDXRSC2y1c3Ro6vxtL8JjzMpYSHucSZxyF/J0zs3MiW7kDcOFvO7drcyf/cS5vV8BEGwnqbNF3d9ycyCjkxed+iUnOW2uKwqb13yELquIQkaT+1ZwuryDXgczViUM505uddQEYr8cBvbJBfWu68l+uLb8YiItGSsd18LSS5Mzh2iWsQwGE5SoXjRdC2hloRdTmlwO6zxrgT+8lKioSo++PBeAPoOeZUpeS2ZsenrU+bblpSHKhN061JVnJYkbs6eSux75leLaKGNO5Pb2ubx+sFNeJwpzOg+mF1bZ9L54oca1KkWqoh3/Og/E6vqRExLN1vOnmPIotTgPFgeqmFq9lDeOFjC1OyhRqrGgMwO3NOpP6M3vI9X8bO8300N6knTBXTUH2wXDqDRsCmcYs8E4vqX3JlkXjUXwZFCSNQp+3o9XfLGYrUlY3emMzPPxuRNXmMMPJHblFSi3N13KSoakmjDUR0m9voz6FWVCGnpWG4Yhq7rZmREY+W75oMZDGhiYnIKphnRyPCJOuPrqqdDvK/8+JIPeKnvNZxNLXOHxcL1bS9m9Lo1eBUFj9PJk/l9cNTlVYa1IIe/fJMl+TeAYAU9yu6Db5LZ4SbspAKgC0EcFo3xvc7HLkmEVBWHJYIuxADnGZ2HReB7FjCmNf5LQxBFrBY7GU5Pwk1ahtODVOYj0tRiGBEQL0z52foiBly6mO6ZA+jX9nam7VhoFEKd12MybsmGy+Xh0M7nmNGriClbtxjhwVN69Oa5XRvwKn5mbF3FH7rk0zYpjelZ9yFrEaQGtFkZjhCIBRjVI4Nk2Y5NFLCKMR5ckziOUqzxzjbeYDkjSooo6jYap9XOrD6defiUkPnZfS4i3W6vu34BMpsij7ot3kFDEiHJZd7wnWNYRblBDYdCFdzYZy5vrh9PteIlFgs2uB3R+ie4sZDPqB1x7ODbtOg6gnG9muGwWAnGotgtEebt+IjpPYcaurU6miLpIkkpF1D7PfPrAV81T+/Ywqz8Plx9QWdskszuHYspr9iJ69CfmNV7Kg9v2HuKTjvjsYZocdWLWMUkBKfT1OU5gK5rRINVaGoEUZJJtacyr/cgxm345JR5MJ9nd68EAe5o35vznSksyr+WiBbBZU1h+Np/GOuNqrDSoJ4kQWf+7sVMzrnLiHSM14zowIIdW7nrogcBkL7HDHFak4C4/nVR4qkv5hupSyNz53Ni3/scKn2N/le/SvnGucztNgLRloEWruTYpklcUPgE8qIV6FU1yBN/R/T15XVFK81uGucEOogeAWtHieh21YyMMDExScA0IxoZEXRjYXASr+Incpazd0TVmbRxPV5FqTuGwqSN61nafyAQ/y7ocMGllCvHkC0uIrEAHS64FE55thDSInzhKyW3WQGqDpJgpbh8Hcm2rDM+D4sYYUpua2YUH67PQc1tjUU0q7P/EnHb0hiV9xTPbBpdvxjtPBPHW1uIXpdnGBFNmnShc5dh2OQU7BYXN2SN575Nk/EGy4G4CTBuy0xeLljAwML5fLpqLL4vXmdJn9+DaOdATQXP7dpAafXx+PaKn3SbC6//C5YWP0SG08Pkvv/DjF6tmPJ5/eJ6Zu+LeWnfZlZ7j+BxJrG03+UM/2zVaeNoSb+7OVT7FaW+fXiD5YiCyD0bRnP7hdfzXOHNxPS4EZdhk5ECIXRVBUmKmw/JST/Nh2/yH6EhDY/InU+GNZ3tW5/jup5TcbiaYxFtjMiZy6KS8fVa7z6LVNWC3e0h5PdSvu9dBhTOY/WqcbRoNxSrpIEQBEEloivM27GOikggQbcPFywHXUTVNURRZWbvi5m8YXfCDeLSXVvxKgoPb1zPs/0LiekBWrcZyrHyTXTvcDO+w2+zuO816KINixjXqdWS/O8v3qTRoOsagcoD7Hx/DCG/Nx7Vctl8Lkxry0uFQwnFohyureDZ3Ssprf4GgKdKV/JIVjYffvE8Qy8ehaKqCeuNV/cXMzlnADNLDiQYVdHocVaXbyDF6ubZwvsoD4aoCodYumsrpVWVfOGrZlHBcAR0pvTozYwtGxJMYVmUeSh/KR5nU/5UuoAUWxNuyJqEU07j21ANbbJupm3nm0HXCQdPsGtlfYFrR5In3gVszA3osRBRQUN3J0OdGQFmN41GjwaCVcCWYyFaapoRJiYmiZhmRCNDliQ8TnfCAsHjdCNLZ1fwMaZrxg3USbyKQuxkJSHBQlhwEkIGbISQCQsWdKH+97gkFx1Ts/n9mveMhcXsvEJcZ1FZPaSFWbh3DiN7DCPFeh6+aBUL985hZo8JZ3U9Jj8PREGkRXI7pvZ5iWh1FVJtBMdb2+ErL6I/hMvlweFoQs/c8VRHawiLEj7fAVzJrQ0j4iTeYDlRLUZ6Wnsu/9VrfB0NMHzT84zJuo6nd35+2hhKtzl5ufR5IB4uHNMifPX5Izw7YAnloRBVYYX1ZfsZ3jmbh7J6YhVFVF1vcBypus6Dne5jyd5lVESqqIn6yUrpSEHTgdx/yniZl1dIy799BqUH6tMyMpuaT53PYQwN93+VmBbBIsq4bWmEa78lEq7GZkmistaLYHEiofNIwQuouookSDi27IVtJWRf/jh606aIkozkSOPyX73KkWiQxaXvcFObQh7d8vf6lpw5v+GtHZOBunQQLYquS4iihKbr7Kj4ksUDuqEDB3zVxg0ixLUa1TQe2riMuTm/47LcR6nybkdqfRUPnPL0fF5+IW1TMhAFU5fnCtFglWFEAIT8Xko/GEv3q5aS7j4PNVxLAJWKuno3HmcKc3J+wwf75jOkw51M27GQqV0mGOuNrNTm3NGxJ8mywJLCrmiahkWPkiSF+MZ3nAHNenNFi18T1WLct3plwrl4FQVBtKOj8ubBbYzu2pNkq42aaJg3D27jitYXsqD0A+bl3EmSnEa/tvdQtO1tvMEqPI405uYM4wLBgh4OkN1vGlvXPEaw1osjyUN2v2lEwzUElRPseG9U3HT5zQysf/8QjhwGzG4ajR6d+udcAqYZYWJikoA5ezcyUq125uVexrjiD4yaEfNyLyPVenY1IyyCgMfpTLiR8jidRn5nVLAQiFkTWoBN65lP1F4vibAmMHHTqoRiVBM3reL5/ped8XlYBUtdqy8VnSigkmFLxyqY0vulIgoiyZqLyP/8Db2qxnjdsuEAA3+9gHAsSDkxHt6zzEjJeC5vBh5HswRDwuNohizGC7sG0BlX8jLeYBWvfPERU7J/w4ytq40x9GTuEDTVx6GqeDvQDKcHiyDhsKejR75G1SysOLKfG9t2Z/T6j40xsbTf5Q2Oo5ge4/Ftb7EwfyKBmI+5u5byu3a3M2PL5oTxMm7TKl4YmIvbH0C/tBthUaE2WE5MAFmUSbOlIJrFAc85REEkxZ6YOGcTksjJmcDh8PEE7c7q+geaR6LsXTWdrCFzcXa/HxEBXPEIGa3iCLUOF+NL/gdvsIqKsJ/RXS4hXXaTLNupDR1N0K0oWlBjOqKqYrdJdGvSkgfWvsfTfS7l6R1bTtOqqsf4f+ydd3xUVfr/3/fe6ZNJIQgZBBWkCSEQUiAQmoJg73VtK1ZQaQLSq4AggooIIq5l3bWv3aWodAJJCEKoUkTKhEDqZPrMPb8/JgwZGHfh+1sV9L5fL16Qydw7d4bPOXPuc57n+Tg8FQzPf5OXUq8hqfn1PLpuVbRO81bwRo+rSTaHy+9UoVLhq8KvBjDIek2n5xhCFYQC3kgg4gRepwO/6ziKzoxOp6O+LshzqZ1QdFZCQRf18XJd8/vwyEptRpdgelZf/KqKUdHzTO33vd0Sx8zOPUnQBymtcZBsasCQyx7nibUrmNulT8w5UVIDGA0Kf22dwaiNSyNz79j0Hryy81Mcngqezv8b83MeYcD6RTg8FQC12nyLxV0exyZByY6vyOz7EsgyqCqHd31Oo8ZdMSQ0od0NrxH0VrF/29u07HcvvLYo7KbxwGOR8aRx7iFOCUac5q6hoaHxp0a7IzzHkN2VNMl7j9c7305A0aMPBbDlvYecew/YzrxrhFmRmNG5C8/UlmrYLRZmdO6CWQl/IwRVhcmFeae4beSxoNuVkXMEVRGzGVVQPfOwtlU28GTrgRxx1yAJHQYp/LNV1qw9/9TEaOaou7YHNtVJIC6BZ/KeweEpJTWhFQ80v4vqQIAFnWfywraFJxtHZk9BVXWUuJ0IJJKN8Tg8FRRXHuCVnZ8yOv1aLrQkoxLCHXQiKxaG5r6LP+gi2WBlyaaZ9Ex/BFUNsvvoEoam9eex1UuixsSHe7czo3NXnslbGzWOvjuyCYengiq/B4EMAuoZ6uFwb4l6mw53DcF6NgI3prFvx5voL3iAEXkTIzeqL2SNp7ntEu1G7w+AZLHg9tTwxv4vGNZmAPGGeKr91byx/wtGtn0YvTmZ4qXD6Xj96xhtKQih4nFXUGNOwI/M0La3srpkC93sbYnXWyn3O7GbE3FJxijdLtv0PLnN7yB/7RS6XP0eIzd8j8Ndw993b2V65y6R8rxwf5Mc/r5nGRC+6dNb7bh9zpjzuj8U5Li3HFUIKvyVDCuYUkenE2huu1jT6TmAUAWi5BhSTWWk3OcEJpsdv7cCY1xDPIqeL9YOw+k6+fumF/Ygt+Mw/IqJF7OeI8XcGIGg3OuJBCKg1hI0bwWD2zdj9vaXmJ85GVky/KLOZnTuglXyc9QXZNnhTczJuRqdpKCTZb4+uIHiygPh83oqkCRdJBBxAoengkDIz/EfPqB+2768veZJKt0OEi127ujyPJKQWLZsQKSxcdcuEyC+EcbRU0GnA2tcuEmyxrmJipYZoaGh8Yv8LsEISZISgdeBVMLT0oPALuB94BLgJ+B2IUSFJEkS8CJwNeAGHhBCbPodLvs3QVVDhNrkUPLpw/idDgw2O5bLx6OKEGdz++5Rgyw5VMQLXbuiSAohEeKLA5u449JMEgBVxLYAqxtnUGQpZjMq5SxSzL1CodznYubmjXUyMLoQr49H8xD483KimaN+yL0E1BpUESQoBxCfvkTgpqcjgYiBrR9hyuaPIum8z2c9wMi2j+JxOXB5VQYXLqmjq1t4ecfHkYWvIskMWPcuyUYrA9v0YsTGDyOp78+m96XGV877656m/xVv077J1fjUwGlj4u97tnPdJS14pVtPgkKNjKO0+inYzUlU+Gt4ofhTFnYdiwiJmONFp0gUrxlDo17jGbjlhai+F0PzJ/Nm1xeob6r32334Gv8zTm0giCRzZ9NbozQ7rsOteP01XNR9BGVbP0JVg6g1Lpyh4xz0qYzZdDI7bUany1m8ayUrS3bTI6UF9tbJjN608jTdWuMuJLfXLPx1AsZf/LwHgDldu6GXZWQkXt/9FZ8f2gCA3ZyEQdHj8RyPqdMQQR5eO5RhbR9h9rbXTtHpJN7qOodkU9Jv/AlrnEaNi8DiTyDeSuqdsyhePjzSM6J1j/EcLH6PhIZp+EPeqEBEw+R2pLW6i60/fkT9pnczq2gXDndhre56kmw0R2nC4a4hXp9AVr0OuFQd5Z4y7Ja4KJ0pkoReljHhplrAazuXckezngzOez+i2elZN7GmdAfFlQewm5NQkLCbk6ICEnZzEookY2l3PW/VBiIAKt0O3l/3NDelj4pqbLx23ST69luMlKTNm+cFKkQlw2rBCA0NjTr8XqHkF4F/CyFaA+2BHcAzwLdCiBbAt7U/A1wFtKj98wjw6m9/ub8dIUnFsfU9Lug5lCa3vcYFPYfi2PoeobP0QgqqKn/fu4E7vnuVW7+dxx3fvcrf924gqIbPY6gNNNTFbonDUCfQYJThuU49I8870TPCeBaq8auCyYXrTsnAWIf/LLIrNP6gSAK37zCbvuhP3j+vZ9PnDxHq/SAGSYfd3IAHmt8VuakDatN830RVVfTGhowuzD8ts+fhllcD8HDLvkwu+hqHu4r7WuQwuehLHO6q2udWMaZoCVdlTyPOVB+XGmB44TSOekpijokDNZUc9VZEjaN6BhvjOtzBW3u+w+GpCF+TrDI9Myd6vHTsRFzIg9fpQI5Lidn3whfSmrmej5xoIFj4r/tZ/+61FP7rflTk0zQ7ZfNHyIqJb9aO4MKODyBhwOMvp7SmLBKIgLCGn9mwkmsuag/ANRelMWLjJ6fptnvacEBQ6ilFoEZp9ouf9zB43TIEKgHhJb9sN0BtXf5fsahBkq2JzMzuFqXTmZ168ML2V3B4SonX22Lq1K8GftXPU+MMCYXC5W0HHOhX7Kf91fPJuOVdWlz7Ev64ejTuNhyPCCBkmfat76NX95fo0+cduuRM5acj62jW4m5Gblh1iu5W0P+y9lEvY7fEUR2o4t7mdzIy/1+8vnMlYzt2jgQkBq9bhifoxYKbUvdhyv3VXHtRNlOLvonS7Kj8f3F/iyuwm5OYkH47wn2MGe1vxW4OB7bs5iSmdbiVVetG4gpURwIRJ6h0O9DpzFGPuVwOhAgRqHIQrClDaHn/5zZCaJkRGhoav8hvnhkhSVIC0B14AEAI4Qf8kiTdAPSsfdpbwApgJHAD8LYQQgB5kiQlSpJkF0I4+AMiZJm4Tv05HgihU2wEjXrqd+qPOMsUREWSsFsSIosCCDewUmp7RkiSn4mZnZlYkBfZlZuY2RlJOnlj5FcDbC7bxvxuV4a/SyRY7SiiZ6N2Z3wd4QaAp2dghIT2bfRnRQiVoLuCkOqPasCmNyfjwotac4QZaYMJKpaY6bwhWcEV9MTU1cVxDfik1/Bav/uw9hMM5qhxEH5uFS6/iyvSniSEINlQD9Azr+vV/FxTzeKdhZT5PIztmBNuwHZxi8ixdksCNoOZOZs/pbgivNv3o7OEF4o/5aVOD/Natz4EVRWFEOagE1lnwWSzI0tyzL4XWur7+YnfU36afkOqGlOzyHoyMoYTDHrQKTLeQBmSPi6mhhMM4b4Nv6RbqyUFv7cEk/kCSjwOpmd3p8KnRuxAk4wyZV4nPtXD0NQbiddb8IR81DNYKKvYzqrlT9G4SU8WdnkGb8CLSW9CVWtYWboegOqA8z/2Z9H4nVEUpKT4cEBiQzEyUNmnKS9teDLi2vJQhwkcOLyOi5vdwvDaXjonMsu8wWCU7lKTLuC+lh242FqPOTn96sx9Gczb9RKTO4zB4a7C4a5i/vblDE7rSoLBQorZxsZtcwlc1JsE2yUcqT5EPUPDmJptFpfCyLRrSdYbMfrd1A+5eD3nEUKSTFX1frZumkFp2Va83nISLfaogESixU4w6Ik6p9VqJ3h8P8c+GIQu3k6DW17AcEFzJG0uPTep0zNC0oIRGhoap/B7zNxNgWPA3yRJKpIk6XVJkqxAwzoBhhKgYe2/LwQO1jn+UO1jUUiS9IgkSQWSJBUcO3bsV7z8Xxe/JFEq6jGuEP76fRnjCqFU1MN/ll3O9bLC9Mybmdv5Thbm3svczncyPfNm9LW9Gnyqj8Lja5jfrQ+fXHkz87v1ofD4GnyqL3IORVJol9yMn5yllHqr+MlZSrvkZijSmReM6GQ55m6zTqvvBP44uj1ThFDxVPzM8bIdOIWPC3OHYmsQtoptnH4/a9ZOQBIhft44h4bGpMju2Qns5iSOecuwGRJj6kqIAAZZ4Zi3lLmd72Zh1wdINNjokdLylOcmYDbYyNv1D4yygadajWTGBg+3f72d5wtKGdG+B+NqAxH9W2fx1c9bSE1qxNzOtzOvy11U+GpAUJuGfzJD4qkNizjk3IUkKjHIQdz4ceOn3VUvg7uMie2HYjc3qH0vDZjYfigm2fgrfuK/Dn823Z5KSA3iUv006T2JS6+aha1BKo3T70cRoZia3eM8wDO73uSYToeQJALucmQRiqnhKn+4MWCV34PdknDK7xNwuUvwBmsw662smkABhAAAIABJREFULV2PjIXnC0oZ+N1+ni8oRZGspJiTaGRpQJzOzD/2rsRUW0ISl3gpV133Ps2aX8uhne+SaFSQ/cdQ9OaILt/c8yHj2w+O0ukLWRNIMkZfy/nGH0aztf12pKSwFasn42JeKniastob+DK3g9c3T6J9y3tYtGsZQ9vexmtdhoT/3rUMs8Ea0V1q0gU83iaHFzeVcdvX23i+oJSRHXryeo9+/POnv1NctQuVUESHxZVHGLHxQyZu+hQIkX7Z41RKFko8x/ihvJgLTPH0SGnJzOxbWZh7LzOzb6VHSkv0skyLODs/Fb7I11/fw9q1E9F5j2NVfWzd8gpt2z5Kn97vourrcVvOTBItdiAciLgteypx+kSs1vBjVqudnr1m49/xLQDBagelHw8l5IoOAv5R+EPo9lQ3DS0zVkNDow6S+I13qCVJygTygK5CiA2SJL0IVANPCiES6zyvQgiRJEnSl8AMIcSa2se/BUYKIQp+6TUyMzNFQcEv/vqc5qirhse+20eJ+2SGQorFwILLm9HwLLpFV3pdlHhdjNzw70hX6+c69SPFZCXRZKXCW0WJx8XI/H/VsZC7iRSzlSRTeOFx1F1BidvPhPz8SKOqSVlZpFgMNLScWe1wtbeaIx5/xJXjRKlHI7OBeNN562v/q/jfnc+6PVP87goOO/fyyg8TIrt4j7efQMXaV7gk5ym+WfowPXo9T8HG2TRI6UT9tvczvODtyM7e9Ix78KsS//xxG7df2iHKz35Gpx4sPfQD11/cHmcgxPiNBVGN/Bbv+p6VJbuxWxIYl34N7+/N595maditTXj0uz2njbkXezYlhJfPD6ynS8M2xOmtjKxNm7dbEnix8+3IkkJ1wMtxbxVv7VlKceUB3sl9DELVLC46+R6fyp5NA0NDSoJODnmOYtaZ8AS9NLak0MTSCOUsrXv/j2i6/R+gCpVDVT/y0sahURpOkuPwBV2U6eIYdUrPiFd2vkZx1S7s5gYs7jQN/8/5BC/Mpdzvi5SxnZgbX9+1ItIzon+rrlFz9Pj0a7Epgng8gEA1NOaJ7386TbuDOl7A3C2FjMvM4AKTkXK/i2RjPMdq9lLPYOTQT0tpdklfPlg3nEq3g1aNepCeOoCnC5/F4SmlR4PODG37MIqknAtuGv9z3Z7vmhWqgBoXhFTK9E6GL7/utOdM77Ocgy43zxZujsyDYzI60NhioCogM3LDCoa0CwciTtXPvF6XAFWAjEk2UOoLRK8Vsm9m8c41rCz5EbslgSkZ1xCns5B/7CdyU1pT5nNT4fPw1YHtPNg6E5MoxyxU/K6jGA0J+PxV7P3xCzI7j+IndxVjipae7DHR8SoaGwz4XEcxWOqz59vxQDhYrTMlEPRWYbM2gkoHpf96OnLdTR77El2C/df94M8cba6tQ+U4N1KchOUGA65/+JBsEgnDzf/9QI3fGs3bWeN34fdoYHkIOCSE2FD780eE+0McPVF+IUmSHTiRI3oYaFLn+Ma1j/0hCaly1MIAoMTtJ6Se3ULQEwqxeEcBQ1J7Em8wUe33snhHAUPTckkEfKqILC4gnEo5Mv9fvJb7l8g5hNAzIX9txMLL4XYzIT+fBd17nvF1uENBfq45yoJu1xFSQZFha/keEg12zttQhMb/GZfwRgIREN7Fe/WHSTyVMQw14MFqtbNt61vkdJ3A+rWTAFjYZQAO73FUNYRNH8dT677B4XZS5vUwJC2DJKMZm97A/O3fMaBNDxTZwPiNq6N0OypvPQu692Nouz4gjFQH/FzbJJt39uUzJPWimGNOCBlFlikq309acjOmFC2JjJdkgxVPUFDh92FWDBjkRMa1vxdZCmJSjLgCVp7q/DqhUCXlHgf/2rmQ+9uNpIn1QuIkE36nE71TwvZVPlK/XETKBeGmnhrnPE5fRSQQASc1/Eyneezcsoi2aQ8xu01fzAkXs8d5IBKIgNreC343+ot78sSaz0g2WBiSlkG83ognFEQnqwxrdyWDU3ujigCS6mNyx+upZ6yHKiRKPVUs2ruWIW264qnagVl/SUztNrMlMjitI+/9uJcn26UxIX9DlGVjq9YPsLxwSiQdfteRlQAs7jSdgOs4JmsDkkz1f6sgmcZZIskSxIc3JwxelRG57xJnbIQqwO0/jsAHGHi2cF3UPPhs4WZe7d6TJYfyGJzWnqZxSZSc0qOhxO3H6XOy5Me53NluKt6gSj29xOvd7sUfCqLICrO3LGVlyY+1561iXOFXTO54PWnJTRm4ZmlEa2M75vDGzgIeurQpCSYr6zbOjjhi5HSdgAclEog4ca5Rm75hftuuHP34EZpe8zwBTxlep4MdS4YDYceQttnD0NfZzNDF20Ex/Nofu8b/EaHWlmeA1jNCQ0PjNH7zYIQQokSSpIOSJLUSQuwCrgC21/65H5hR+/dntYd8DjwhSdJ7QCeg6o/aLwLAIIV3Jk7dqTCc5aaULEncfmkW0/L34HB7sVtMjM7KQpZOWHuKmLWddW07Q4IoL/Hwc9yEzuKLRCfpucjajCe+LaHEFSTFquPZ3GbopODZvSGNPwQhoUZu4k5Q5nZgTm6JTTLSs+fzrFjxNPv3fsMVvechyTq8Uoh3937InU1vpdLvxeF2AlBceZQRG74GYEG361lZspt7W3QipAZi6rYq4MPpU5i+4WhEi6M6XYFejj3m9jvLmFO8gvEdbyLJaIoaLwPaXI4nqPB84d7I+Bqb1RK71cRjaz6NZCNNSM9hzc9f0ufSu8LuZh4vtrlhO9MTBA6XYhh0T+TmQuPcJqD6Y2pYyArtOzzKvr3f0LzlDfgkwezt86N6L/RokINL0uPzVuNwO3G4nRENA3zY++4o/czNuRahKgz5/ni0ZhWJhKTLqPmF74t91S5e/OEAozMvw1OnR8AJy8bxmVm0a/M4nVrehSzJePxVrN35FnrVR3Dp8yR0H4OcZNU0eY6jCkFFQOBWL2D0qu2RuWhSp1aoiJjzYKm3hi4pzZm/fQWPt+4TUz8Sfno1G8WAb0sjupva9QKE7CROb6LM5zrlvFXUM9l4cs3yKK1N3bSeIWkZxFkS+WHD5ChHjPVrJ9Gp39sx1yGitiSofPsXpF31Ej5fFZK1HqpQ0Uk6/IUfo7soEyDSM0Kxak4v5yxRZRqSFozQ0NCI4vfKu3wSeFeSpC1AB2Aa4SBEH0mSfgR61/4M8DWwD9gDLAIG/PaX+9shy0EmdG5CiiUc5U+xGJjQuQnyWd68C6FEAhEADreXafl7ECK80xXu5XB6PXLdXg6yBHaL5ZTnWDibDdygMDBmTXhBA1DiCjJmTSlBoe1i/BnR64wkW6JTaZMt4eaOVWW7qNr8AZd3nUqry+7g2+VPsGb1WII1Doa2fZQpmz/CG/Jjt9iijrdbbATUcF1zuc9NVcAdU7cGycT0DVVRWpy+oRpVyMzIbRo15kZnX8jbuzficDuZvGkFZsUUNV4ampOYmr87anxNzd9NUJUjwRKH28mkovV0vug23iiahF/1UBo4hHT35chPXo/cvx9cbA8HJkJaN/jzBb1siKlhRdbh/7mIpk2v5LvlT/Jj0UKezxgd1XthyGUPMbzg7V/U8SFXdZR+HC4fU/MqY2jWiP7ozyhyiLGdmpyi3Yt5Z+eB8JxfsBuDEt140uGuoZ4hnlGb3sOtCt5c8TBLNs+mT/vBuL0V6Hs/iQiiafI8oMLn5pDLxdT8H6PmogkbdhFUpZjzYLmvhilFX3FfixwkKXiafsZ2aoLN2IBJea4o3Y1de4xSd5An1r3HwDa9SE1qVOe8Cahq7GbVSUYziqxw6NDKyOPJ9duRkT0s0mg7+hoTMJgTSL3vMy7qNYqgLFEjh3hr1QBeXnILf1v1GMH2fTGkXEaTx77Efu9bWvPKcx0VzU1DQ0PjF/ldZm8hxGYhRKYQIk0IcaMQokIIUSaEuEII0UII0VsIUV77XCGEGCiEuFQI0e4/9Yr4IxBAoFe8PJ1Vn1cuv4Sns+qjV7wEznL2Dmc1eKMec7i9kawGRYIZWTdHFgJ2SwIzsm5GqRNoUCSJcZlZkQWN3WJhXGZWxJHjTAiqRBY0JyhxBbV17p8Um7EegzrNidzMJVvsPJI+iU/Wj+KfW6ajb3sVaijAyu+HYTLXp23GQD7YOAa3rxKHpwJZEozveHnkRs5usTG+4+UYZYVx6dfw9o/reXv3GsZkdIzS7ZiMDFzBYEwtlvvcBCnjmU5m3rvqMgZ1TOTV7d9TXHkUCN8UhoRgbPpVkfGi/sL4Uk/pweNwO0mJa879HWeiSha+L16Ip2EcQbOK31yNdEs2UmrzcP2SxnmBzZh0moYf6jCBJZtmoV6UxpYtr2My16dJ86soKn6Vqa0f4B85z/Fa9mTUoO8XdTwjux+Ld+ZHvZZJZ4yp2aCQUDcvwR8K8cq2bxnUMZH3r27LoPRGLNi6h221mTcOtxdPMPp4uyUORZZweCqwxTXhjl7v0DN9FOt2vgOSxDcbJ+A36zRNngf4VRWzYog5F4HEuMzMqHlwRucuvL17TTiTwWhBkeWIfl65/JLw39u+RRW6mLqLN1hxuKuYXPQlD7XKrT1vArOyb8agKDEbsiYaTECIxo170KPX81x9zd/J7DyCFUWzCfqOMjG9d9Q6ZGJ6b/SBakLP3UCgZBeVrsN8kj8hUlJU6Xbw3rqn8cgCXYIdXVyyFog41xGnlGlo6z8NDY06/B49IzT+A0JIjM5fFtkdg/BCdWHujWd1HkUCu8UUtUixW0yRYENQhFh2OJ+5ObehoBAixBcH8ri9WW7k+ZIksOoUhqenY1Z0eEJBrDoFSTrzwIhOhhRr9MImxarT1rl/UmRJ5sL45ozr/jb+kJey6v2s/OFlDpdvBeCjwkk80H0+KSnZXNbhIZzeY/TtMIxgoAa7OQlZUphXvJzB7bqQYDBT5fcwb9typmTewNzi5RRXHCE1sREQ4KVu3VCQkSSJOVtWcc1FaTG1WOotY/a2fzI0tS/7XNXMLd522vhTJIl9VYd4tes9BFUVg6zEHF/lp6Qv2y02hCQze/tyynzVTGnfH4/fiUetoWb7J6S0vxvTLd0gzvrrfvAa/zNOaHh07mIq3SW4feWs3vIKh8u3crRqN3d2mo7RnIzTe4wOl1zH2h1/41D5VhItdu66/O1f1HFNwEOZLzqt3hv0xdTsAVcJxn5PoEgSZX43IzZ+wczs63jxh8OnaTJOr8duiYvU8Y/P6IKEoEfDVA66Kxi8YTF2cxLPpj+KxWTD6XKgxukRVrPWzewcxyDLeEL+mHPRQVcFi3fkMbh9JvF6E56QH6teprjyCHZLAheY4ggKEdHPyWNtyJKIqbtqf3h+c7iruDgumY97P4qCisd7BINUj5mdezEi7/s6/Ul6YZQlBNC+45Os+PZJMrKHsaJoNk6XA5fbwe6Krbzc+Q4kSY8QAdYfeJ9Lmt2OeOZTVEnC4K+IsvqEcEAipAZ+3Q9X43/HKW4amrO7hoZGXbRbwnOMkFCjboTgxM7s2YWSzQpM79IWu8UEhBcn07u0xVzbj0wnKfRpnM6gvIXc8v2zDMpbSJ/G6ejq2HYaJQWjLAOhyB+jLGM8C2tPg+Ln2a4NSLGG414pVh3Pdm2AQfH/lyM1/qjIkkyCKRk9Mu+tfioSiIDwIlOS9VzS5jbeWvEIb3z3IEs2z8amMzIt/Xa8QR9lfhcjNn7Eo2veYcTGjyjzuyhzH+Avl3agR0pLBrS5nKlFK5lYsIyfasqRUHmwdSZf/byFUZ0SorT4TCcbb+75CoengnhDPKtKVjMju+9pO9YrHTvpUL81A9Z8xm3L/8ELW1acNr4mdWqJURFRx45N78m8bd8z4LLrSDbGM+6HT1D1NpbkTyK+zbXsXz4RVQpqzSvPM2RJRhaCt797kI/WPh3RcJypPkJniNLu5e0G0rheOyrdDkyqn5ntb42p43VH9/Bcdr8o/ditRiZ1qR+l2Wm5DVm0+zNUVDzBEOM7XoHdYuPt3RsZm9UiSpPjslsSUP2M6JDNgm5XMqJDNiZF4sXib3moZT++O7IFAIengjFFHxCQjdisdoQaJOSt/B0+WY2zIclooZHFctr/+/QubVm8I6+2r85XPLbmY4as/4JKvxu7JYFJ6VfiDVbz5u5lzDhFczOy+7KqJJ9pudHf26M6xfPWj9/XPi+B475qBq6fz27nfgb/MIfjwsOFJhOvduvLB31u5OXc3niCftzBEB/sLeQYRnr2fY2Eeq0wm+oDcPDgGjo0voOn1i/l1uXv8dT6pXRofCeHtn3A8o9uxOs+hsEQH7H6PEGixY5Oa1h5/iA4mRqhlWloaGicgpYZcY6hlyTuubQ9117SFkWSCQmVL3/ahv4sSiMA/EJFLweZ0y0VSZIQQhASAfwiHH8KihBbju9jQZcBqAhkJFY7iunZqF3kHK5QkPnb87jmolTMio5A7c9D07qdsROGLHxYjQFm90xGRodKEEX2IAsVsP3X4zX+uOhkPYkWe9SuVyt7T7ySCaeqo2f6GPJ3LORw+VY+Xj+C67MmYlYszMq+heEbP45YwU1M783n26cBMCzzRR5b8znJRguPt+nM1KLvcLid3HNpe4akdUMCXr68ITWBIDaDnkW7PqW48gB2cxKeoId+F17JGzsLGNIul3iDkWq/jzd25vN4284MWf9VJFC4smQ/TayJvNoznaAQKBK4/Q5UBAtyb6TU66Tc52L+9u8orjzC7uqjDGl3BcPz30DIBvrlzsKoj0NnTUacZaBR49xApxii9HthvXb06zSDap8zSruf50+ib4dhLNk8GxBcrDNzgSmBmdk3M6KOVexNTdP5dN92XupyHZV+LxU+D1/8tJ3bL+3Ai5c3IKhCubcGm9FHma8agZ7B6z8j2WiJ6FUmwPye7Sn1uKnwuZlX/D1N4+txb4ssdLKMXw3y7o9rWFmym93VR5mbcxv7nEcprjyAw1NBQAiuvvwVpEAINaQFjM91ZEminl7F6z/GS90vQxUS/mA1CUaZQWm5+IJBZAlkWcITDNLQZGNh17/gDTox6uK4/qJsFu9axeB2nSMZOot3reaai1sTb/TyQq8kZKFHlmFO8VeRrIpnM2/AG/IyMf0e7OYExrUbhS9koSYkU+lzMSr/pKX4+I5XcHPTDAaue5fJbdNZUfQsN2VPYkPRy9ib9GHkxqVRfVJGblzC3LSesPVtAqqPlT/M5fqsCXyeP4lKt4NEi507us7GYtQaVp431OkZIUkgQr/r1WhoaJxjaMGIc4w4RceVTVozZN23Ud7zccrZ/VcFVZWheV+elm6+oLbcwyDryGrQip+cFZh1RjxBH1kNWqGXT76OBDEdOc4mLCKEii8U4KinHLPOgCfop6HZSpysWcb9mRGqwOyUuLPjdN7bNIpKt4NW9p50TH2ah9f+M3KDNqXDaDZumcbh8q3EmeoT0pmRJJmFuXfjCXhQJAl/yM2VLR4m7+dPUIXA4XYypF1uJBCRmtiQnJSmPL56SWRMzejUkw/2baBfkyyqAi7ubd6DJtZkXEHBypLvWVnyU9T1PpHaJWoshc/ZgsdXbI6Mjek5l7H2p5fo0+JxHlr9VtTxyQYrl8Y1ZnHXYUgY8EiCgqI5ZHR7Ekmv+a2fj1j0idzZZTbvrRuG1VSfTu3HMmD9JzG1azXV46bMCehU0JvrERQeEgwKC7rehSvgpNx9GLe/krT6jXhq3RcR3T7eNodHV/87Sre+oJ/pGfcQqtV62JHjm8h1fdj7bh5e/T4Q1mm/Ju0Ysro4ag7f5zxGceURnH4fAy67jn8fzOeKRhkgDBx0VZBijsekM/1eH63GWaBXVfQhJ59sW8Tlze5Hr2/Ew6v+HVWWM2/rOsr8bp7L7sfru1ZR5qvhoVa5NImrx23NMliwYyXFFUcASE1sxKW2JnhDgiPuUhKNRj7eu5aBba/g3hZZeEN+JGBK0RKSDVaeaHMNM/LLcbiPYLccZGxWC5INlog2J2/6lldzb8ThrsJoSKLS7WDdrne5PGcifsmGw70p6v043E4MtovJuP0bZFmhxlfOd1tfoW+HYZgNCXj8VVgMCVoJ0XmEOKVMQ6vT0NDQqIsWjDjHqFYFIzesiLLHGrlhBQu798PyX46tS0iIsId9u+7E601UB7y8vasg0mAvJAROP8wq2onDHXYfmJiViU1f90sitiPHqz3bn/F1BDAwdMO7UfZddksCr+f+5SzejcYfjhoXwYUfkhhvpf99rxGSQ/iFkYc2fhTlOT9u83LmdZ7BYccKykSI4XnP4PCU0qNBDg+3fIARG9/E4anAbk5iVtYQRMiD3WIj3mCMBA/ua5XB1E3ro8bUMxtWMDitPVOLvuHlnNuoCVaxo2o/ZiUJu8UWFXjokdIUnaRjUfdbqfB5eHtXAfe1zD5tbIxav4OXewxGCA92SwIOdxWpiY0Y0KYXcXobT61Zc3KsZbajTeu7WZI3gVuvfAst4fj8Q3J5SPp0Ow92mY6nkZ2H8z44Tbsz2g9haf4Y4s0NKcqbSf2csezxlTK8cCoOTyl2cwNmZYyhuGQZuZf8hSSj9b/qdkSHDEw6X60j0n/WqkUxxpjD9/JUenfmFH9Duc/NVz9v5cFWvRmdtx6HexN2i4XpnZugoKDzukgyWiKW0BrnFqpQ8UkqCaYL6Nd6OMe9XmZuWBmlmcmF6xiSlsGIDV8zcuO/GZ3eHVmCKUVfRQJn49KvYf72FSDgibZ9eWr16shcNS6zI1c1zuSdPd9ya9OuCKEjqArm5dyDTtIzcOUPp7gK/cigDtmRPhQOtxNVCOyWBHz+Ci6s1470VncxK+8Jbksde5qG7RYbP9WUMzjvPeyWBKamj2XDD1N5f93TQLhE447MyehFuPmArBgwmpNASFDjglAIFAXirFr527lC3eCD1sBSQ0PjFLSeEecYQVWNaY8VVM9u9jYqOgam5jL3h2IeX7WKuT8UMzA1F0NthoWqKkzML4j4kDvcbibmF6CqJzMW/psjx5kQECKmj3hAi4z/uQmFEPFWgle2R0gquvJKQpISUysVgSD1GvZk0e5/4vCUAnBdk76MyA8HIiBc8z48/00MBgvPdeqHJxiM1EHH640xx1SCwYLDXYUs6Vj843uYdWZUEYxyOeiR0pQHW3di4OqVPLJiZXg8te1KA3NczLERVMEdqOC5rBsj/Sv8qsSovHXRY61gK0ZL03CzQK0R23mJECqBnOZgNdTOladrN87SmLu7zePITytol/oAToKRQASAw1PK8MJnubr1oySZ65NkMP1X3Zp1BhqY6p/myBFLqw3Ntpg6rWeIi7jPXHNRh9pAxEl9jsrLY0dlOQ+u/Ji91WWnucRo/P6oQuVw9R6eXdOffS4Hwzd+gllniKmZeL2x9t9OGpjiI4GI8GNVEavPh1r3ZEpBYZQWphRsoqGpPt1S2rLs0CYSDDZCQsdTa1ZT4vHE1Fe84WRWzYkGwDOzbiROr6dX2kBe3zyJMreDpbsXMCE95zR3pNd3ropc29iipeS0fRIIByJu7zILiyGBNV89xLIPrmXVF/dTXb4H9Xg5/hf/jm/KQvwv/h1Rcgyharo9J9CsPTU0NP4DZxSMkCRp0Jk8pvH/T3i363R7LJ18dnGjkCqYUlBwyqKigJB6MjPixO9O4HC7CdVZdJ5w5Ii+FlOU/ed/Q5EkeqS0ZGb2rSzMvZeZ2bfSI6XlWdmDapyfCFVFOMtQKxwIZxmiTkBN1etw3tqej3eP4u2vb+DjLaOQZRHTc77c52b4xk+4rkk/AFITWnGp7VImpt/HrKyHSE28GAgHJPxqgAS9DqtOYWanq7BbbFQHfDHHVJXfTY+UloQEDLrsCeobLiBeb2XetuUMbteZxT1uYnC7bow65Ubt2cJCkozmmGNDlsCkTyDJoOfpdlcytWhFrfVerLEmYbPakWX9/+YD1/hVqatn1VVBecgR1u/qu3H7jsbU7kFXJegSSIpvgkEfR0ANRgIRJ3B4SgkJFX8oQNHx3bzS9QYWdb+ZRKM5pm49QT96SU9QlTEoOubkXMv7V9zJ0LTup2n1sKsmpk5tBiPzt6+guOII9YxxMfUZrzfhcDt5Ou9rKk5x+dD4/XH6KvhkxwJuSx2H3XYZQ1KvJKSGYmqmOuCr/bctbOtaJ3CWmtiIIal9aBHfkIvjkn9hroJ4vYW05Es54q6JBCyq/b6Y+vLU9huxW2xMyuiNIkl8uGU0CzZPRKePI8EYbmC5r3IrX22fyuh2LfhXn7tZkHsj87Ytp7jySJ3XryLJ1pSHer3Bte2HUbR1ES5/JUZzMgCeGgcblg/FX1mCqLW0FRXVBBZ/Es6U0Pj9EZy829CCERoaGqdwpne498d47IH/4XVo1GKUJZ7r1DOyoDjRM8J4lumG4Z262IsKCDe+OuE/fgK7JTod16AEmNalTVSX7mld2mBQznwnV5EU+rfqztyteTy2+nPmbs2jf6vuKGfhyKFx/iFUFXF0D9759+OdeS3e+fcjju6JBCS8uPi6YBROV7j5n9PlwOU9wviO/aI850/s3jrcVSQZ6pGa0IonWj/Bk2u/4vHVXzJ3SwEDW99IauLFYctEwg2yjIpM0fH9LMy9iVYJyTzXqVfUmBrbsTNbyn6mf6seDFr7Hbct+4yn1n6PQE+yKY4RGz/iwVVvUu5zxxxHgiBjs5pHjY2xWc0p95Vx0F3CNd8/wFHvcRxuJ9UBb8yx5vOW0rvTJIL+Gq2J5TnOqXp2O7bx1eqhEf0ifDyXddNp2n191xqcNUfZuHQQecsGoZMU7OYGUee2mxugSAoGRU+LxEsYuPYzHl71Ca9uW3fad8H4jByaWBNweFw8tnoJ/Vf8myHrvsMbElT4vKdpdfGO4tNcX6bltGH+9mUUV4SbEYazMU7XZ3XgROq9E7+qdZw71wgJlW7NnmDalkPcuuwz5m75AYNsYE7OFVGamdGpJ6vCNfywAAAgAElEQVQd+7BbbDyX3Y9yb01Ep+EyssuZuzWPm5e9y4Gail9YF0CyMZFLbY2I15sjOntn13ZGZ7Y8zcHFKMOCbjcypF0uLxWvI6Cq7KvYSpnbwbz84Vzf6uHI+fdVbuXD4qnUVBbhcv1Mmf9Ue+QEPG4Hny57kH+vfpr9h1dStOtd0rpPoNM1r5HRexZGczKqNbrYTVRUQ0ibV88JxEkzDc3aU0ND41T+Y88ISZLuAu4GmkqS9HmdX9mA8l/zwv6suEMe1hwtYn63KxG1E/g3BzdwVZN0krCe8XmU2mBD3cWp3WKJZCToZRiXmRnJngjXhmairxOecofclHoO8mrPDgSFQCdJ7Krais3QhHoknPqSMQkJat0JuhOvN1Md8PDGzgKGte92xu9F4zzEVYHv7aGIyvDNmqh04F++AOnGEQgEIUInb+RqCSB4ecc85uaMxOkPUO5zR3Zv7ZYE6hsTeLjlX5m6aW1U9/WpRSsZ0f4qzEqAVfvepU/z/iQZjHRLSSAoBC9uXU2Z182IDtk0sSagl2UEQW68JJ2n1n4X3Z8lbwWv5PZhd/VRHO4qbHpjzHEUVFVMugBPZ1yIWTHgCfkx6fwgSSza8TYA5f4KeqQ0xaIYebFrTw67ali8o5gyn5eZOV2w+Q9TWPgyXs9xrrrmbcy1O30a5yC1esaWjHT9MEIXNI7Sb0hWqAlWMDKtL2adgSq/h/nbV1Dmc6H6wqVEnhoH8cjMyhjD8MJno3pGrNz7DzIa38jfdu6ImiuXHtzJi117IyNFdFvqrWFiwYbTeknM7dL7NK2W+bwkGmSm5DTFH1LxhDxYFBdDUnvw11ZZmHUGJMnLvG69KPP6qPB5+erAPu5q0YJ5xauB8O62TtvKPOcICCOTNkX3hxhfsIYJGV0YkpZBvN5IdcDHGzs3MDStGw+KdPyhGpKNSTyXdTMj8z/hvpZdmFq0IjKffnf4R6Z1zomU7XS3N2JQWjrVfh+lHhdf/VzMk6ldIzorrihnwbYixmV3oKE5vJlx1FPFvOKwrSiE9VN3k6PM7aBh3EUkW+yUuR0kW+w8kTWLPTs/5NJmVzMp/UomFC2N9LOYlH4linrSZrZhcjvSWt3F5yufxOlyYLPa6dNpEoop2p1LSooHRatEPic4tYGlFiPS0NCow39rYLkOcAD1gdl1HncCW36ti/ozo5MkPjuYx4LdJ7uj281JXHdRx7M8k+DZTp2p9AcwKwqeUIhEg56T+XEhzIpgeHpa5GbKrAgkTu6AWRULDc2tox0DurTFqpz5wlQScPulGUwrKMbh9mC3mBmdmYGkrW3/0IigPxKIAJCapBLocSfFnz+E1+mgzTUvYrPao27o1KCbZGMSZb6jxCkXMKd4eWRBOivrRo7t+ZRLmt+Kw7066rUcbieNLUm8XfQ0aQ27c9wb4pn1GyN6m5bTBVfAzfxt4Y7yC3Jv5MP9q7j+om4x66tBYkHXu/GrIfSyxJiMDJ4tLIwE7cZkZKDI4eyiC60WFElGL4dLNIYXTKK4ahepia1oYqlP/9YtGLVuW2T8zOiSjUGuRgmVoIY8lB3fCkBIs1E8pxFBP9iSUW8aTk2wEgOCa3u8RH7xIo6WbSXgq+SfR1ZzZ9M7mbjpi4huZ2bdwJHVYwAwx9kJBVyUFf+DRZ1nEBRBFEnHqn3/ZMned+h6yV9Omyuf7dwRVVUZlPclC3JvpMxXQ4LeGlO33qD/NK1O75zD+/vy6NukLVa9RIqcgEIAWQJXqILFP37BPU0fZsrGLRGNTstph0EJgRS+kZzaIQeL0PR5rqEKOUoHqUkXcF/LdiSb4qgO+JlXvC4SELinZQceWv1WWJPZNyNJXl7ucjsy+kggIjWpIf2atOJvOzcwuH1quI+DMPDkypPaGJ2Vxaf7t0UFLOqZTJh1Op5YtT6i27FZ3XmleBVlfjfjO16OIgkey36JpT8uosp3nICvipFdFhCU9IREiICvklZNryYoyXy5fSpjUh/FYkjC7a/gy+1Tua/tkMj77Njmfr7bMCkqq27ZhgnccsUb6JPiERXVSEnx6PvfDHFnvoGj8esRlQmhlWloaGicwn8MRgghDgAHgJzf5nI0EmQDs7IeYHh+XZeAB0iQz67fviJLBFSVWUUnF6YTs7JRass9vGqAmcUfcH+LPpgkK37hYmbxMqZmnHS58IX0jFoX3Sl71LptZ+WmIZAji+vwOTxMKyjm1R6dz+r9aJxfSDoDUqL9ZECi1wMUr56M1xn++WD+Iq7sMomlGyZEdrfs1ot4uOVdDC98lmRDEiPa389F1sYYEcTJMuX1W6OXRMzu6yU1e9hXsZX+GfMYuGpjlN5Gry9keHpbHm/blVe3raUm6KLPhVkccVdht8RFLejtljgO1Bxl0MZXsZuTmNd5AB/sLWJw+1TqG61Y9Xr8ahBfKMTMH5ZQXBnO2ljY9Q5ChEg2JjG/07M0NF+AQUpg4IriqPHzzLptzO3WnJcKhjOq6yKS67fD6zmOomh+Gucyks6AdO1gqiUvSzdNj2j2is6TWL/5ZQ7s+4xH0wawcPd7DGnXjyRDPeobE3D/tIyWaQ9gMCdhNCfj91ZSWrKRtqH7effLm7mm9yKW7H0HAL1sZVpBXpR2x+Rt4uXunUg2WCj1Onlo9TvM7XxXTN0e9bpYfWQfc7rmokgyiiTzxq6VfH7wB7517GJ+l7so85Xytz0fMLTtw0z+YS7D2gxmysb9URodvX47T2c0YUpGL5yVu3Fse5XmOWN++w9d4z9iUOSIDlKTLuDxthk8W1hQJ2ganu/K/G78oSAzs28jwWChzOvFoLj5y5qBPJ8xJTKf3teyY8QOeWXJfmZmX8eLm3dzqpvWoA6NqWcwML97D0JCIAQMWp0fpdup+Vt5sduVHHQdx6RIjCh4kzJfNZPTnyHFYEaRZA55yxj3w9xIhtDsjDEYfJVU+Y6zYOMTkfeZbLFjMSZFgtdmU73TsuqcLgeqCGAYdE+4NEORNTeNc4k6DSwl0IIRGhoaUZyRtackSTcDzwENCM8lYadgIeJ/xWv7UxIMuXCXrOG1Lo8REuEmko6Dywk26UW4OubMUAVMzN94ilvGRhb26AWEd3WTjTYQMhIyCJlkY3Q65f/CTSN8Ds8p5/Cc1Tk0zkOsSRjveyGS2k7DSyKBCABnaTGH173MLVe+jqqqKLIejywzfP1YHJ5SHJ5SBuWPxm5uwLzUQaiobNn3MZkdm/Fcdl9GblyCw+0MN0jrmMsX2yYBoCLF1JtJpzC5YAPD07MxKgaGbXiPZIOVadlXUekPYlZ0eEJBkgw6Zha/Fz7OU8FL2z+jf+tr+NvOAm6/tANj8sNp0eG+E72Zvz3cbC0kFCp9lQxs/QCD8sfj8JTyRs5rMcePIltIMNanxlNK+4wniTMlYzIl/cr/IRr/X1iTCEo+ln77cNSO7Ld5E7jpikUoihGTMYHRaQMJhPzIkoTe7yTu4lx2bpjD0QMrMcfZ6Xzly1zeex4+nZm+V76F3mCjQ0oPNpesrG0qfLp2y7w++l+WTbkvXEv/+s6VjM/ow+TCsO1nD3sTBrXLxhUMcF+rTOYVF7DScTDSG2Wf8xjFlUco8zlxBj3c2ex6aoJuHJ5SEvRJONwVp7ymF7NiwOerYvuGqfS6fI6mz3MQE36mdsxg7KZC7mvZLhKIgJONdoenZ5No0OMLCeZuySfZaKb/ZR1oaEpmfvZs/n14CWM7XsfUTWuj7JAB4g2mmPNXktGCXwTRyxLl3ipCqiGmbmVJBvzMKv6C4soDAIwv+ojXuw7goHMXE4pfi3KVGVb4LC93GM6TWc/zcv7TUSUcR/Yuo2f6MAzGBEyGhNOy6mxWO7KkINmim3dqnCOcWqahrf80NDTqcEbBCGAmcJ0QYseveTEa4QByfEoWe2tKMCsWPCE3KSlZZ11iF1DVmI33TliEmmSFh1reEOm+Hk7pvQGTfLKxZLjvRPSCJOymcea7DYoMdos5arFit5i1Us4/OJIsQ8PmGJ94B6/rKL7qw5hs9qiARMBThl7SY8AEgRDVBk9MpwGdOZlNm+fQpPW99N8wmmRDEsM7/JWLLBdikBUEfq6+7FE2H15eq9nT9Vbt9+Nwu2lsTUQvqTjcVSQbrPhCgllFRZExMD4zI+r1Vx4tpn/LPgxMzWHQKf0lpm7KY3BaV+YULyVEiFGF/2RC+u0kG5JweEop9x+POX4O1JRxbZuxqKFKlm+YyK193kKStAFxLiPJMqpQY+7IIgTW2n4fiYZ4jnnKqfSU4/EeZ8e+T+iaeic+dxmVx4rZVvgyyVkDGbp+ZGRH+PnMsVxz2QAUObZ2K3xemsYnMrHwEwCKK48wb9syFnS7BRBU+YM8sXplnR3xTMq8XoorjkVptNzvpL7RxqiiqbyUPRm7uQEB1RtTo56Qn8a2elx19VuYzPU0fZ6DhEIedhRNZF6XmQjJHPP7/uK4REo91UwqzCPZaI6RPXETe6q38ErX61GJzjqr9sfWRrLJhMCPJGQamBLY56yMqVtZkvCfYq15wvHIoFhizvWKMZGyQ6t4uM0wDIYE/P4qtm1ZRGrT61j1/dMAJNdvx9XdZvP16mGRDKWrc5/HJJvDrk1BP5LOANak8PeQxu+P1jNCQ0PjP3CmM/VRLRDx2xCQDTiDJmYV7eLxVauZVbQLZ9BE4GzLNP6LW0ZQVU6zgRuVt56gejIYIRFidGaLqE7ZozNbRPWV+G+YZcGMnAzsFnPtOczMyMnALGuh8T86kiwTQmXvV09TsnERl/UYj8lmB8Bks5Pa9wV0LiniDa9zVMR0GtDpjKRnjMBmbsz09Ek80PweFu3+G3N3zMejejjiLUfW1aNrswG8sGUDozPbReltdGYa7+zagd1iodJfTVAEsFsSuK9lLpNPsb+dXFDI/c371nn9JBINVnSSLmadflPbBbycc3dtZlE8k4o+4IHmdwHw5p63GJ11UfT4ybqU13d+x4SipaiyLZJerHHuI8t6bFZ71GNha9ZwTF8VKnudJTyybiF/Wfsa47Z/T6e04QT09Wh++RzSrn6DRm3vYWjBlMiNWLIhieNeJyZdIp5ggGmdM07T7lcH9uMMuKPsDsOOAwFUBM/krTtlR7yA+1q2q/25hnpGK9MybyBeH0eiIZlhbZ5EFYLnM8dhUGBCdrQbwtisFjSyWNB5j6IgaYGIcxRFNuDxHsftO85e55GY3/eKBPVNNhzuml/InthKz5SeDFj3LhMKPmNses9wrwjgq5+LmZZziptWThv+tmslA9f9kzK/iw/2r8JusTI2KzVKt2Mz0xi7cQVzt2xjYOubSU28mNTEi3kx+zEkjCQYU+jRILr6125uwM+uI1gSL0UR4Z0yRYDLW47BeLJhttdzHIshgX4dR3F7r0X06zgKY0hFDfl+0b1J43dGpY61p6RlRmhoaERxppkRBZIkvQ98CvhOPCiE+ORXuao/MQGh4x8/7mZIu07EG4xU+33848fdDGufeVbn0f2CW4au9gshoAqSjSYGp3WMvM47u7YTqLOTISTB+qM/8UK3VGRkVFS++GkXTWytzvg6fEJFJ4eYk5uFJEkIIQiJAD6hLXD/DKghP36nA7/TgWPdK7TqPAzFFI8xvhEGKZ7AnHci3vC2wv3M7juGYac4Dby3/0u6N7yCSYWrIqUZkzOHYtXJHHG5MOtsJBmsvLJtEysdP1Pm9TAqI4OGFiuHa1wsKP6BMp+X5zp3ReDGpOj/H3vnHR5Vmfb/zzln5kxLDwQGAQEpQgIhJCEkhGJD17bqWnbXVdbFBqgUQWmCIE1EsAGuZV3L/uxb7G2V0EIg9ISuiChDSyZt2pk55/n9McmQIcMuvO+6oO98rovLzJmZM2ec7/Oc59znvr83j/W/Dr8uxbybmGYJL8adtlQW5A/HFzyG3ZwRVZ99a/dsUi02EAozN3xKleZlWs41LNn5d5LUcPVaRe0uXv/2TywdOh6Xt57aoJdPDqzn1u6DSTbbsdsT6Xv+rciy+b/7o8T5H2EWEpcVzOKTsumRO7KXFczCLMIBXneggQnrXsLlC5c9pFuScGtBZm1cE9HtgoLLIpkzWck9mJh5H7WaTlBXOej1cMxbz5IhhYQMgS4M3t/3Nbf17EkrixmnPfm4oWv/azFCDehyckwNJ6kWIOwlkaJaqQ54mdVs/DxacBltrRYaFJ2Hyt/jkQG/IM2SiAHoQseuGBheH4YaN648W7FbU7li8GKO+mv44EAFU3OHMWfD5sj5fm7BABZWvMO4zGtx2hMayzCitZJusQIKD+f8itqgl61VB1hafE1Ef1/9sJvJeZ3IsCViURSq/HV8U3+UdNVBTUDj6o5DqA7U0s6RyJODcpElE/sb6lhSuY4K91EAZm8sY0q/qzBJJmZtXN5Mg3cCUHKkFKctg+nZY1my82Vm9x3Pu8vvpsbrIsXu5Nr+MzErDoovWIjFlobdms7BbW/y/ZZXI9/Dmugk5/KlUd2bAq+Mxzrq5XCZYJwzS/PMCBninazjxInTnFMNRiQBXmBYs20CiAcj/tMIiRvPy2Ju+bZm3Sd6gzg9IyZFErSzO1g6aCgGAhkJSRIojW0srLLCqKwcZq/fHXHKnpafE1WmYZZlLmnfnfErK5o5rWdiPp3URyET0HXcmq9ZXb5KorCc1veJ89NDCAMhS3S74UVCXje1+1YgAYqkICMhhIF0XRGSXQWvhmZT2bt1KfN7/B6zJQW7JYXFO1/hpk7X8/qeSsb1HhRpV1fyw34uaZ/Jwo07o8ZJld9Hhfso96z+hKs6duW287O5r0827oCPF3ZuZETPbBr8h2llSUUT9phtO522FP524Qx0Q2CWZRRRh8DHQ7n5vLn3a27s0oe55XuaOcwPYVllCbM3lTA995f4QuGLUactgzu6/xpJCvLwpndJVx2M6nU5c9d/3ay7xu9RpFOdhuOcSWTZjNWQuXboUgxhEGo4TE35X0gd8gDBWhd+xRQJRACM7nkVfh1m9LuYumCAV3Zt4IGyT5ieezd3rh3HPeffTkC3snDjdlzenQx2tuG2nj0YvXxLRB9zCnvxxYHdXNqxCy8W/46AoWOSJPYd+ARzalfsCakMdjq54tzOJKkqdZrGh/v3UacFcNoTmFcwGFVWeHjDlzRvh/tg2ScsG3g5hxu+Jd2agE+XGF2ypZkuM2mf3Ak5fgvzrEWSZNJTumIL1HGnrR3P7fqMMdlFpFkSSVHtvLz3M0oOV9DR0ZoFAy7gmN8fNd9lpaYxKiuHUc30Nrcwiye2llPi+g6nPYG5/QcT1BXGrdwWec1D/a/EosC0tVuadSzqx/yKmdzX8x6+/N7FQ7nFyJKEIQSv7d7GOfZWjF799xM0+ClPFN3FzeddQ12wniU7X6Yq4Ka24QA13nBQocbrYs2uv3BRn/vwqFb8QLXnAOldLybRtYn6IxUA+OtdCBGdsSlqXAhdI25heRZw4jQi4vNKnDhxjnOqq2AZGCOEqAGQJCmV6Fafcf5jyJFABDR1n9h22t0ndGFQo+lMbkzhDXtCFNHKGg42hASRQET4c/zMXr+bZ4f2iexD0yWmlFae4LReydLT6KYBEj5dZ8HmtRHjv+m5AyG+RPhZI4SBp3ov2z4Zj7/ehTXRSeYlCzhS9gK1+0pQE510/eVTaMlBhBQEfMhpHdm3toR935cAcMklf6LkyFrGZ97DjeclM3tjaURDTw0cxtgTHNznlm9jTHYfHij7JwAXtu/E6FWfRpVX7K51Mye3F+7Q97y270Om5t7KnA3bImNkUVExVQF/lJfK/AGFmMUh0iwJjM7KYdyKnTEc5vvzwLr3ybCmYpZT+duQ1zDJ8PGuZ7i6+whm5wyjXrdEAhFN7520ZgfLhmbRRhjxdPizGCEM/N6jbP/qoWZ6fhTnkPvx+aow6g5japuF05aKy+cmK+VcEkxJTNqwvJnhaSHLKktpY83Aacugja0dY1ZsjGj48k4dWsy3U0u3M6ZvBx5Y+xUTc3owZv2DYZ+J3KlYjCBWRWJEz8xIqUZYr0WkWSwsLb6ERZXv8tvzLooyJgzvu56QAJNsZnzvyyMBkKbPnbSmkmVDs0iR4yVEZzOSJOOwptDNksSU7Ovx6Rp76lws3v4OFe79ZKWcS2GbTJ7f+RU3denPvAFFkTXBiJ5ZLdYAU0q3M6Zvd0pc3+HyNlCj6SzcED1nPbJuDxP7nUd0x6KNTMq7C4dJ5frzejFu9cqodYcqSzE1aJJMzNj8+PGOGnnTWLH+kajXFXT/La5gLVMrn4u8bk72WDoMuIft790NhDMjpPrqqGteKcWJFO9SdMYRjYEHSWrWTiMei4gTJ04zTnX126cpEAEghHADOT/OIf3f5mSO6vppRpJ1Q4ksOsL78DJ57Rp0oykYIWI6ZYeafY5xkm4axml10xDM2rA6yvhv1obVp/194vy0CPrckUAEhO9cVX7+AGm9rgLA5EinwV/NP9dO5/0v7uDLDfMQElE1+cFADU5bBjKmSCACwhqqCWgxx0mqpaluOYEOjqSYPg9J1rZM3/oUJUdKeWbXEzxZXMRbwy5lYk4WR/11LbxUJq0tpVbT+Mum6cgoMcdEkmrFaU9ECIO7Vv6D6794nZGrPiC3w+/w+6tppQQ5NyE99pgzBF5/dEeDOGcXQZ+bik+P69lsS8ev+/j00zt57+Nb+Grz49gkgwV5t+K0pTK86zAmlS0/wfC0lBE9+6NI8HjmKBTMURpOUtWTaMuCy9tAsjlcN+/yHWHChjlgTsCv08IzYtLaNeypq0JHZ2Lva3HakiI+AE047YlIksL0TVs45G04qS6DegARz6k+65EAk+cQgZpvWFTxdyrc4e4Vw7tdxOxNH1NyaDej1rzGgi3vMTEni79e+gvaORJOqrcmbIo55musJtMJ23y0s7UnxZwac91hCCmmBs2SzB8LZvN60WM8V/AI9kADHv+xqNdZHU6mNrYAhbD+p255ApHUzH9o2GOYEtsipYS3SSlOLLcuAke8C8wZp2mpF++mESdOnJNwypkRkiSlNgYhkCQp7TTeG+c0MEuxu0+YTzORIBxsiNFNozEIYJLg5m7tubJLO2QkDAQffHMQU7PP+U9009CFEfOC0IgvcH92CMMAjxsR0tBlI6pzBoQDEoo1CXvbLNoOm4EvWEdO//vZse1lqo5tY+P6xfyieAEfr3qAeo+L/d/8g4W5UwgaegsNuQO+yDjJTE3hlvO7kmqxkGGz8I9Lf8VhXwMCI+Lz0ITTnoBJViIL24raXSAZ3LvmdVzeWv448Pcxx02iJWysaZaVyJjITEvilvM7kmpRSVZlnii8kqcr1kSlIs/YuIrHc/JINyegSSLmeDLJgDh1U9g4/z2aNK0bvig9dyoYjcfwUzBoFlqglh3bXmbD2kfpmz+eJYV3IIQFl7csal8ubwPtHUmYpBB2WQVCOO020iyWiH4XFffhxe3fUlkd9lFx2q2RkguHyXp8X74jIJtOOs/bFBV3IIAqK7SzJbBk4K+o8vtwB7x8+F0Ft52fy1Pbwlo9WdcEkwzBQC11gXqS0rrGM3fOMoQhoMEDuk7AFKDsi/FYbOksHDyHCevD3iVpaiIub23kPRU1Bxm79v/x7kUj+ba+PubvXqdFbMHw6cGYr/GHQpHHmakpjOjVHV2ACZl0izWqFOSWHr0ICZmni67l6YqVlBzah9OeyJy8C3h+/RhqtWPck78AKxJ1hp+bihbw5poHIp4RQpJjdt7Qkci5+jmCgTr2bXieHoOmYB31crg0Q4l30zhraFrqxYMRceLEOQmnGlB4HCiVJOntxsc3AHN+nEP6v41JETw+MI9D3hA2xYxPD9LWbsKknN7sbWrspnFiPbypMZBgVQSXnNuG8Su3RmpB5xVlYo36nBAP9e/OI+uO+0o81L87EOJUMclyzAtCJb5I+Flh6CGMukMY9cegwY3kSGrRytOa6ATDIHHQaF5edS8OaysKM0fTe/CjBDwH2b3hSUyGxNVDniag1RHwV3Og4nW65oxpoaEPv9vD4wPzqAkI0q02fmjw8tTmb6gOaMzo3x2zovBMxQam9Sti9sY1kVT5GXmFCAIMySjkqg5XkmROxixZSFcduLy11Aa9McdNoprM9X3mctjnZlp+N97cfZAbunVgbvnOqPFT5T8xW6Mem92JP3iYrbv/yrzC4UwubfaewvNxHfgQtcNQfF4XZlkl0ZKKHL/wO6MIYaB7qhGaF3HsOzCZI3pOzMjCSGhFvfcYimxFN+v0LXiAzWULMEsKZs8hSOgUe96TDITfjTnByYKKp1k08F4UyUpNIMT+ugAffXuQUb27sHTbN1T7NabkdeOtb7Yyv2AwZlnluQHPUBes5f0DH+Cu/5b0xD4x9erTNYLBEFuPuRjWoTeT11Q284MoxmoKUXLoWwBe2b2OKflDmLt+b7PX9EQOHSWkOqiv3Y/F3xqrLX6X+WxBGALjWDXBmkMIi4KRZMfX4MLX4CJPtfFc4Z3UBdzYzCpOezLpqoNbuxeTbA5rw6qY+fC7Cqbk50f97vOKMnlxZzkQ1qvTFt72p8r9XN7pHNIsKilWE5rhjwTSRvXuxez1uyL7mJafw9KKTQDcnZnD3PLduLy7Itob12cgmqGjAEhQ5XXxzPoH+H3m/Xyx6XGu7T+LP1zwEroRwDCCeDUPTltGVEDCactAMQwMwte6mrcKYQSREp3xAtCzjRMyI6R4a884ceKcgCROMV1ekqRewIWND78UQmz/0Y7qf0leXp4oLy8/04fxP+KIt4GjXpnpa45yyBOircPErKLWtLYbZNgTTnk/br+Xwz5/i1riNjYrqVY7hzw+Ri7f3OKOx7KhfWnrCKe6H/LW89bebVzVKQtZUjCEzvvfVnBj1960PSHl8mQc9tbxg8fDzMZSDac9gRm5AznHkUCbU9zHWciPst75qepWCAPtyB6O/OtjmaQAACAASURBVPV+QnUuTElOMq6ej0aQiuXHa+yzhj1GIOjltY3TcVhbMaDvFKZseguXz43Tlsr8nJtoHfKC0Pn0szsi+++dPQpbp2t4YG047X2IswPj+wygLiAzZdWRyDiZXJDOsm27qA5oTMjtxLg1n4Y7X/TIItVipbXVjjfkIclsoTqgM2nt2qi65oZgA58c2MZlHXKYs2Ej6RYrI3pmcY7DgUWRePObdVzXOZ8GTSNZtUUM/5pw2q1MyO3AuNJ/NNuWyNLCYby9YgQ1Xhd9O11D/573IiQzigQWyUuD/xhPlk+kyusi3e5kTMFizknq+mMEJOK6PQWEMNCO7uXIu+Oj9SwCVJTMoMsFMziiJjNl05sR7c7NuYl0w4tDTea9f/yK9Fa96VQwh8nlx71yFgwYSltVcEyrw2xKoCHkwyTaMnnl4SgNv7VnH2NzuoIQBAwNh8lMdSBwwlw+gJ17ljIwaywun5/l3x/kqs5dUCQZkywTMjQe3vAFD/UbxviVlS10+syQPoxa/W4kiycrpQ0jeg6gU0IqktDAqGZR2X0RTd7X/3FSrG3QDP+ZCJj9x3X7U9dsyOOhWnfjDbgxvNWkqMnsrnyFczJvxJLQDq/vCEk2J0E5GU2E6/af3raFFa6DkbWARYGllWu5omMWGbYEUixWgobW2P5bQjcEFkVBkWRqAnKUTqcNSEWngXaOlCi/EQjra2K/zmiGwZOb97d47r6cNiyu+JjpOVdiETUsWnMbAFMHPs9rX91Bit3JLYOewVO7j5KvJpDeqjfnFU/n/saWuE5bBo/nTqO6fClH9pdgS3CSO+QREpLORdVNEAqByQSOhDOZGRGfaxsRAUH1KC+WwSYsBSb8XwYJVuqkLXGc6UOL05J4LC/OGeGUZ2ohxHYhxDON//7XgQhJkhRJkjZJkvRB4+POkiSVSZK0V5KkNyVJUhu3Wxof7218vtP/9rPPZgyhRgIRAIc8IaavOYohTs+Iya8bvLijkrF9+rJs8FDG9unLizsq8evhkPSpeEZYZYVhHXoxftV6bvr0K8avWs+wDr2iOm6cCqtcX/NE0cW8fcl1PFF0MatcXxPP0/v5oHvckUAEQKjOxZH3JmEJhOh31fMU3vwBude+jCO9G0piG2q8Lgb2HhMJRAC4fG4mbXoTEtujh3w4mnlHZLTpQ7oq8VTxhbx64S+4rUc2++q8kUAEhMfJvLIqbjm/My6vH5sSTvqqcB/lgbVfcUfJxxz111Oj+QgYUiQQAcfrmjVD4bIO2aw5vINnBw9lYk4ej22q5KbPSli0eTvD2vfjvhXruO3LUo76AzHHT3t7SqQ22mlPZG7uYOSQO+IOD4JAyMXiNTcx+fPBzFl1Gw26l2RLKyB8l/DJsnHUB+IeEmcK3eOOBCKgmZ41g7797oeULpFABIS1O2XTmygJHVAUFYfDSdWxbbQStSwtHsqfhwxiSp/2fLJzLn5h4A6FGF36HEe8ocgFHhzX8OWdzuGQ18uolV9yzB/26GnpC7GW3J4jMckyGVYbwzp2Yvyq9dz46XJGl5TiDcH9fQahSLE9TnQhmN5vaESrVZoXm+zjnYqHCIQO8vaOZ6hq1GyV18VT6+5nX00lEz+7gkdW3MoPdXvjpXZnCEMYfBM6xB/WT+NXZQ9y396XOGw20TF/NE9ue4QH/3kNaw+v4mjIxt0lZdzwyXLGrFzHjV17kJWaFvEVsSoq13TOpI3diiwLRq78iJnlqzni83PvyhU8Ur6egx4/e2t9LXQ6e60bTZfQdCOmvjomJNE1OSXmc8lmOy5vLbM2fUC6oyNdUnuTbnfi18LlJDVeF5KkULntZQD8vmOk+upZ3O023uo/l+fzHo4EIgB8DS42lDyEEdLQnl5AYO40tKcXIA4dDJdZxTmzxPCMiFuGxYkTpzlnMhd4DLCj2eNHgcVCiK6AGxjRuH0E4G7cvrjxdT9bdIPISb+JQ54Q+mmeUw0hWOFy8eDaNYxcsZwH165hhcuFEfGMCPtBNMdpt0bKOAB8usHk0g1RrtmTSzfgO42DMckywzr0YtzqVdz42SeMW72KYR16YYqXafxsELoWuXBrIlTnApMZVVKxJjpR7ekgwm09U+xOEmxto9ogQviiTjN0HEkduHjYMi646ClateqNOaEtAaFzT+kSDnrdTClbi1UxxxwnyaoZp92KTw+RlRpuaffsoMtYXHQxmh5i1qaPkFBi1tknmy3M3riWazr1QzOitX95p45MafbYHQjEHD+HffWM613M84Ov49nia0kzC0JaPSn2cHCl4PxbWLJ+YtSF3oubZnB5t+GR/VR5XYQM7X/6c8T5X3JSPcsyUvn7hIQRU7shYbBv+9sMHroAh8OJZE1g8ZrhPLbyBp5dN4rNh5ajCcHMxiBckjkxpobTLCp1WgCX18ucDeWNpsYt9Wpgxq8L/Dox52mHyYZZjj3Pg8E5jkSWFV/N2xffxKycbD7cPpvNh5azZP0DFHe8Kuo9VV4XFpMt8nc8YHbmcAdqGd+YJQBh/4SJWxbi8h+OzCtF5/6WSaWbiO42tJVbevRsfOzFrflItVipDvh5cO1XuLwN3Nq9N4+Ur8fl9XJLj57MLt+C7SRzbceENBRZxNTXQW8de2urYz5XG2wKqtViCLgrfxH3F72Kau3CNQOXUthtOEHFTu/Bj3LRte9z0SV/ZMe6xWz/fDwV74/A7K2KBCKa8DW4MPQAwl0NgHBXE/zzs+CJ9hqK899HxDKwjMeI4sSJ04wzYkIpSVJ74ArCvhPjpXDPnwuB3za+5GXgYWAZ8MvGvwHeAZ6RJEkSp1pf8hNDlgRtHaaok39bhwlZOk3PCFnm5q7duapzF2RJxhAG7+/7JhIEMEmCuYWZkVZy4R7jmZikE7tptOxYcDrdNII6fPbdfhYPHBzpO/7+vq+5sWu30/o+cc5eJEXFlOSMuoAzJTmRE1tF3MwNPUR99R52bHme6/JmhL1EGtsgNuG0pWKSZb74dBQejwuHw8mQoY8hySoyJsZn3kCXxHaM7ZNASOgxx4kvFOLRoizsZsHorH68sXcHV3TsRqrFRqrFQn56p0Zj1pZ19ulWG/P7X4BZNrfo1pGkRnc+eHXnXqbk9Wysh26qle7GR99t5cL23UgxO9AFNBiQrCZzTf4M/r5+JpIkRy4YmqjyunCoyZHH6XYnJjneku5McTI9I8kELrsDRRixtYvENxWvUn14EwX596PIFm7Imo7dnIY3WM1nu5eGDX0b31cXrKetw9xCwykWE+99+z2PDhhIkqqiSDKDne1Y4Tp4/PPsdiTC6fQmWYo5T5tkhRUHdzOvKDPKM2JeUSaqbPB1XRU2kw1fyEeamhC5WKjyukiypEXtL93uxKMdN0KMB8zOHJoRjGnoqCr2yGNJUmNqonNSMo8OGMiH+/dhVUyYJIUUs4N0iy3caUi1RObFcHcXH0Ej9lxrEKI+WMO8ol5MXrM9oq8Z/XvQxq7iCQaZW9iLKaXbo9YYDaFaslLaUaV5qAv6kTAxqawkUs70aMHNLKh4j5LDFThtqTxVcAfnFc9AmMI3S0xCp825QzjcLCBhS3AinXBvTbirwyUbcc4s8W4aceLE+TecqY4YTwAPAE2mAelAjRCi6czxPXBO49/nAAcAhBAhSZJqG18f3f/pZ4Iih5hakMacsupIfebUgjQUOQRY/u37m7DKCld16oLLE27D5Q+FuKpTl0iJRUgIvjhwgEWDekeCBB/s288NXTs1OxaJwc42XH5uJ5JVC7VagI/2f4sin3pZmUmSuaRjZ8avWo/LG+6AMLcwF1PcoO9ng+JIJeNXi6Jr7K97HDmpbaRmV/Mdo+zLifgaXKhqMp3zRvJY/nAmrn85Unc/p+/1GJ4f8HhcpLfqTc/ewwkIDbNsxu03eHLLXlzerTjtduYUFDJtQBqz1x4fJ3OL25Bq1QkJjdpAEEmo3JNZxA8eD+9/8z0XdnDy++4XICGxsKiYCWtWRWrwp+bmU6dpNIRC/Gnndu7p3Teqq03IMKIeV7preHvvNzwxuDdVfi9tbA5qtDquPy+HKaUbI1qflt+LNEcy69bP5ep+kzHLFvq2HUJxx6twqMl4tFpWffc+gVB4v02eEYmWuFngmSK2nhdiOFIp+3AEvQfPYG7OTS08I6xGEFtCOANGVhM5qpmZt+UoLu/+sC9JwUKE4YkEMv6890MmFdzC/LL6iIZnD8zgiwNfc+m5nZlbvpU0i4URvbpzX+9+3Ns7h1d2VVJ+9AhTc/MxyQreUAibSY3Zgem7+ga6JDtpbVV4dmg2hjBhCDDJgqpAHQs37o/S6TU9x7FozR9ItztJsqSRbneSbGnF1T3uIMPRnmrfIbqk9uYb97Z4wOwMosrmmIaOmu6luOM1XNz1bkyyOaYmjvr8qLKZ+3r3o1bzs3jLOtKsFh7OG0SdpuEwmxnsdLLC5aJO0xjszCBJlZhakM6csqqITucUt8Gq6BzweOiWlMqE3E7YFBMhQ8esGIxcsRyX18vNXXuwdEguuoCQ0Hlt1zbKjx3hobxLsZugLqgxd2N06+8Hy5Yztk8hJYcrSLcmUaU1MHPT61HniS759wJwuNEzImfQw8j1nqj/T1JqWtg7Is6ZJd5NI06cOP+GUzaw/I99oCRdCVwuhBglSdJQYALwe2BtYykGkiR1AD4WQmRJklQBXCaE+L7xua+BAiHEsRP2eydwJ0DHjh1z9+/f/9/6Sv9Rqv311AR0DnmDWBUzfj1IW7uZFItCmvXUDR+Pen181+A7weW6Bx0TbLS22zjqredYIBR14TS3sB+tLCZaN9YRV/vrOeo1M2XV4agLvtb24CkfyyGPl5ElpS0WRcuGFNLWYf8X7zyr+Y+Z/PxcdBvuPuAGXQNFRXGkRrUC9NZ9z+dv/5KU1lmcUzCaZ7fMJNnSist7jKa1oyM+/xFS1UT2bnuFmtpvyMwdzd/KZ9Ipo4CCzPGRxW0TTrudabn5aLpMh4QkqgM1vPL1h1zZMYseST2o86tMXX3c3HLOwAz+tGMvK1zHwnfoijIxRJCArlOnaXy4fx9XnNuZJ7ZuZlpuPiZZxqaYmdSY/v7HIYWEhGB2+ZbjF3B52VgUg6nln/DMwKv5rqGGhRu/bqH1pUMKkP37MZtsmM3JVGlHeGbdhIg54D39F5JmdRI0fJh+XHPAuG5PkVh69jUc5vO3rqRDt6tpk30Lh3zHUE12tJCXtrZWOAyBJAQBWUI3t2bkihUtNLtsUDHVmptJG17D5XMzpE0W9/W6EU8wSKJZJWSEcHl9PLapkjSLhbuzorNv5hVloosgf965nXHZOeyrr8cb8NMhKTVSquG025iSl82zFTup9gd4anA+R7wGc9fWNgtwp7OkYjOV7prGY7Px1KAcniy9hXv7P06KsOAP1uM3m3l6/XGt/iFnBp9//TrX9Rz5Y5msxuI/otufi2YNYbC3fj/j189sZuj4EOlmB0c1lSmlm0izWhiVdX7UfDV7QD80HWatO97NZ3r/HqiKYGpZaZSZ7592VFLtDzAjfwBjVpaF28/26EGyasGnB3GYINGiMHbtX3im8Hdc//nfAFhQcCFPbN2Ky+slKzWNkZn9mVfmjpqHG/Q63ty7m+u7notZVrh7xectvuOywRdy15oneCz/NhZV/L1FFtK8rEtpZ2+N4a0mFPLhcLTDpiSjL1mMcFcjpaZh/v3dSG3bnSkTy/hc24hRL3CP9WK9yITaz4R/ZRBtnU7683EDy7OQuIFlnDPCmQhGzANuIdwf0gokAX8DLgXaNmY/FAIPCyEulSTp08a/SyVJMgGHgNb/qkzjp+g43MQxXzW+kE6CSEYyZIRs0CDVYjMptLKl/fsdNOLy+BgVo1vG0qF9cTpsHPLWsnDr51zRMYdks53aoJcPv9vEhD6X0NYeThk/5Akw+p+HWqRnLrmoLW0dp5al8X2Dh+s/+arF9ncuu4D2CT/Zk1HcKfs08dW7WPnRHXQrHM+SnY9HlSqk251MLnyOYH0Aq60tQgT4tHI2VksyPbrdiWZI3Lm8pMU+3xl2GXvrD/LBgTVc22kAqizxxr53eCDzgZi6vbdfIpNKtwDhsbBkSDYPrV9Dld/PnIJCPMEQdpOZFIvKk1s3U+33h7tpJDgwSTLT123ilh5dSVLN1GlBVh08xB96diMoDFRZRiC47uPlLY7z3cuG4jDcrN60iPx+Y1hQOpoqr4suqb0Z1u0uEi2tSLe1prUtpdHJ/kcjrtv/BX5vFSveHx7RcLLaimvOG0eiuRU+vY5Ec5AkRzt+0PSTavaloXk4bUn4kdGMELoweG3vct47sA6nLZU/FY/HEzT49WclzC/M48nN+1rM4U8O7kN1oIFWVjv1WpBki4X6QJAkSzitvk4L8uquvQDc0qMrPZJTuefLWOPBzqS1ZZFt7142FEVqwBesx2ZyYFPMPLLy9y3HavGLpNoy4t00ziCGMHAHatGMIGZDwuYPUW9LYGTJukgwNDMthdFZ55Nht7G3th67ycS88j0t9LR4UG+qA17qNI1Xd++kyu9n2eCh+PUQiqRw46ctdfzaxYNppdjRQwJZgde+3cKreyt4dtAvWLJtG7f06EmXpDTGfXWkhe7uz7djVgwSTBKH/LU8sXVLixa4Y/tkMrH8ef5YNJq71iwhK+Vchne7iCSzg7qgh3MtVlJVK6r7MJKnDnn9+6hXPoBksse7aZxlGLUC93gv1otNqDkm/KuCaGt10l/4ya7/fs7EgxFxzgj/9Rw2IcRkYDJAU2aEEOJmSZLeBq4H3gCGA0398d5rfFza+PyXP1e/CAgvMox6C59/EqKhTpCQJFFwmQUj5fTqcw0hSLOojM3uSbJZpTao8crOryMGlrowqPJHmztV+RvQmzmk60KKaVxliFOfr8IGai3TRc2nUeoR56ePLGRyi6fjU9UWngnJaiuEL4MVnwQbNW9h4LApmFIEd6/+iHG9B0d5PGSlpjGiZxaSJGM3WakK1NMpIQM91MCYnn84qQlssmqOPHZ5/dRoGhP69sMQAk0XzNtQ0ezOch+erdjCuDUrwne0B19ItT/ApNJyMlNTuDuzN8N7ZLG/rp4XdlRSHQgwvzCPwc4MVriapU/bbRzyH6KN1UG/vKloQnBP4R/Z8sOndEgv5uFNX+Dy1uK0J/N4wfWcl5TxYwck4vwPsdhSKbh4EfWGl2S1Fbd2W0TZp7ZGzaZx4ZVmNNnPpHV/a6FZCGdGBHUPRzQzE9b/mXRLEnd0v4LhXS/n0nMGsK16Dw1BL4pkwWm3Ndbst+xGICPRzm7ne08dbWzJ1GlBJq/dwJjsTD769gBXnNuF8X36kaiaeGbbFpK72U8yHizNjs0GhLh97aTjd9vzppFsaRU1Xqu8Lgyh/zcDEXFiIEsy6dZwKZfe4OFr0yF8/iBpFgtj+/QlWbUQNHQsJsF39Q08uaWSh/JzYuqpVtMYuWJ5pFzt2cptBA2DmZtfZnjXy1qcv4c425Cs2fnsAy2yRrnpyr5AeP0yKqsvs8u3MD0vP6burIqZWRtWsWjgQD78bgvzC4ZEeUbMLxjCC7vfB8CnBxjSJoubugxl9qaPI3Plo/nXoEgq0tI7w58LcPl4pMSkH+d/eJz/OU3L9RPKNIQQSPFzXZw4cThznhGxeBB4Q5Kk2cAm4MXG7S8Cr0qStBeoBn59ho7vv4JFT2T5JzoNdeEJvKFOUPaJiUtvOHW/CACLInNPVhYLV+sc9gjaOFQmDMzCooT3q8omJva5ipqADpiwSAoT+1yFKh+XhCLB4HPs/Ka9lXSzRFVQ8Pr3fk4njiAjMS0vu0V6uxwPwP6fQkLCvfEN0i64n3S7M+oC5/puD/LlB8EozZd+ZmPY9SZc3npe2VXO1NyBzNmwgXSLNbLYbdLTjP6/QZVs+GUzBzxH6ZwgYuq2VgtGPtNpt2IzKYxbvYonBg5h2trjdxSbnOfHZPfkwbWrcXm9KBJMy8vmzT37uOm8LBatFhz2BGjjsDB96AAa9Fpe3L6b+7Iz2VNbHzm2h/J7srFqBUVtinhw/QuRuudlhaMZteZ1XN7axs+s5f6yd3ih+GZa25KiSlzinB1IkkxSWlcM72Gu7/ZgJBABYc1++UGQYTdYWmi2Kf19em4mZtkbCUSMPv8G5pbvwOXdidNuY35hf2o1D/vrf2B+YS5Vfg2n3driTnZIGJiEhFnxIUspkfKMVQcPM+L8HGYt1xrn/BAPDelLsi1sQNjKIjO6WwLpZol6AzTJaNynjfmFuby9/69RHRruL5/NzKy7eKb0nsjnp9udyGe0CVecE3GbAowve4SH+0zhnqw8Fq4yGn9/MxOKZb78fj9T8rLxh0Ix9eQOhB+Hu7esZ2JOLobQGd7tIj74bjXzC6/jpe27+W279mSoKml2OytWRs/Xyz/QuPWGvvhkLVKWWasFYhpf1gXDnWJU2cSYrKEIIZiel0eamoQiS1hkmNznV4w3wuuRcZnXtJgrH1z/d14Y+FsSRj6H5KlDKn8fFBOivu5syYyI08iJ3TQiAQhB/D58nDhxgDMcjBBCLAeWN/79DdA/xmv8wA3/1QM7g0iGQkNd9N2EhjqBZCintR9hmFi4OrwoBTjsESxcrfPEZY2mY0LBF5J4bOPXUZ4SiOOfo6LzcGcV8eJXiGoP6WkOHh4xBA/6KR9HwDBYWrGTMdmZkfT2pRU7mdk/57S+T5yfHoYw8AbchHQNxWzmnKJ70Xz13J09I8ozwmntRmlddOZPQ51AEjJOeyIVNYdZVrmasdl5dElKZ8yK6MDBzHXbmJiTGcliWFrchpmdVYxmup11+1CeOxZu++a0W5mS1x1/KIjL643qRpCZmhKpjU63mclKTaMq4CdoBLGZJEZn9WHKF3rUuJq1XOOeQjM3dO2CPxRiYk4mHRISQNKpD9bwi/bDouqeXT43VYH6yOK6CZe3llrvEeTAEdJTusYDEmeY5vo1KSr2Ri+PJFtr5GA6pXXBqNeH5+mWmk212GhtsfF2xcNcl/Ug6ZYkpve9hftXRbdenFRazsScTLqndOTT7/ZxQ9fuLToeTcnrji8UNnXVjHA/jTF9+pCsWkhVrUz9Z/Sc/0hJkLEDdeYMbE3bOi/Wl4+PCXnEEP58YSFVmhdd+BiYUcCr+96JfB+X7witHR0iwcN0u5M7c2Zilk7vXBTnxyVohHD5jmAYJhY3BiKg8Zy/yuDOgvY8W7GDkVnnx9TTs5WbIvtyeb10cCRglg3OT+pAj6z2WCWVWR3Pw3ixBFHtwUhzUPS7ofg8Vo4ePh6QMHQ4pvkjmn511y4mF2Qzr5kZ95yBbWjQPQx2tmNP/V4mbJjKhJ530S89l/vKlkSCtbNyrueDyvnUBo4xtuiVmHNlSAjKProTa6KTrMsWYpJU9KcXRHlGcOY8I+I0EcvAsml7/KeJEycO8angrEPIBglJ0eHihCQJIZ9eY+agIUUWJU0c9giCRnjfISFFzC0hnK45e/0uQs1KMBKCOqJxAQIgqj2IF0tICJ56MMIkSZH09lElpUwqLafaH8AUT8/7WWMIgyO1e3nhi1t54sMrePGfw6kNerCYkzm27Q3G9n6YG7Nn8//2V+AXWkzNH/QfY1rOkMjF3eJtKxAnaTdrNSmNf3updddHFs4Q1q3+wnJubt+apUOzGdO3M2/v/YbDPh9Ou72x1aeNzNQURmZl8/RGL/f88yjjvjrC6MwCFhcVU6PVIUsaJkmJOa5siom55btRZJlxa1Zw76rl6IZgeMlfGLn6dW7qMpSslHMj76nW6nHak6P247Qno/mP8eGKcXj9buKcOU7U7wtf3MqR2r0YwkCSZAxZxNSsIRk8nHthlGYtioRi1HBRhytRJYV7el5NfTB4Uh1PXruGPq1as6umhpd27GJM385RunUHNL5tqGPJtp3U+OWIXus1YmrTLCkoXg/Wl1dEjQnjxRICdXWMK32Pyes/p42tbdR7nbYMzMjc3nsyUwc+z+29J5Mo21CFgjid/s5xflTMsin8W8m2mL9/smqhsrqGe1as5aUdu1g0KIulQ/uwaFAWb329gwp3deT14fkQHt/2Gd973dy9+i+YfcEW86n82nLy+x1fkyQkSSALHGZTY8lPuOPQsootTB2QzBtXdmBCXisWbTjGvLUNjOiRy4pDJQzJGEBx20ImrH8pKlg7fdM7DOt2B1VeF4cb9sWcK82Nawh/vYuKzyYQcrvC7TwJt/UM/vlZ8ESXosY5AzRJsulqQzphe5w4cf7PEw9GnGUETX6GXqlGFroJSRJDr1QJmvz/5p3RyBK0cUQvlts4pEiJhSFEzPpRo5kdh6yLyAKkCVHtQdZP/SxikmBuYW5kgXK8tefpfJs4PzW8ATdvrBpHTWM5Ro3XxRvlD6I1eOiZfQcBQ/Dcrs+5+bxLeXxnGbmXEqX5/Mt0Ht31Jkt2/p2xffJ46+Lf8EB2MYe9NREtNeG026jTjmdWJMlKTN36A0FGlazhyS2V3NCtEx/u38f8AUUEDQ+LBubzSG5/krAwoW9rMtMsHPKEmFNWjUlWGb5qMfO3vYUiGzHHVW1Qw+X14wmGs5pcXm8ks8HlrWX2po8Z3u2iyHs++G4dC/pfF1lkO+3JLMi/FovZjs3aCl0/PY+YOP9ZYup31Ti8ATe1AS+HQrXkXypFabbgMpi7/T1Cws/YPnksG3QlD2QPwCRqOVq/l3dWT6DOd4xZmz6iOtBwUh27vF6SVJVXd+3gN9078+SWyohub+rWmRSLmRd3bObW7v2YuvoI6RaFhQOdtFYVFlxgoWf68dN6kzbtSDHHRCuTFQCXtx4ZBactA4AhGYUsLZiPLxgg0XEuDsVOm4SOOCQb0psliENH4wGJswAhDORAHfP6jMWnN8Scm3yhcAaP027jhm6dmF1exsgV/2T2hjJu7NoNp93e+LydRwsH8s6+dYzqdSGq1v3rUQAAIABJREFUbGZc1iWYDGJqx2EL//4JSRJ5w2SqDB/+UIjZA/rxTOFAXioeysjzM3HarYz9ysWEkkNUVgU45AkxdfUR7ux2NxMy76AqUBPVLQPCAQm7mgLAR7ueZkH+NSfMlddgF8fnSH+9C5GcEH2M7upwyUacM0tkmpCi/hMPRsSJE6eJs8kzIg4ACkFFp99FKhaTRCAkCCo6Fk4vNVaSdO4vMvP4mmBj/ajE/UVmJEkHFEyyFLN+1NTMEEKXJaQ0R9RCREpzoMvSKQsnJAw+/+5bFhXnI0syhjB4f9833Ni162l9nzg/LUK6FrmQa6LG68JIULH9/Qts113LjZ1bMbO8FJe3gSq/j7suyaOVaqeV3cZTe96lomZ/YzZBuFuFZkCyxcYTgwpYsnUHVYEAI3p24xyHg8M+D1mpaVS4q6kzdNJj6NZuMfPmpUMwhIFmhLind288wQBPV5RzZ6cLePfLEDUNgpQEifEXtGHRtsNUVgeQUVgyYDRv7SvBkDxMKFZZuEqKjKvxRTJLK7/GabdyzB++2+2029HF8Qwil7eWNDXcDtdpS+X2Hhdz6IePeKzvEOx2J981HGX+trepCtQxt98kFOn0PGLi/Gc5mX5DuoZfUpm0bgXpFht3XZJHqtmGR9dQkswc8zfgMNloCPmxKSZS1SRUWcWR4uTXQ/+EJFtweWt5ZfdKpuRdxtt7vuPyTh1JtaikWFRe3bkdp91OnaZR4a7mmW2beSg/mwybDUMIzLLE1HUlVLiPkmS2km7RGd+7DR98FeTDBj8pCRL3XmDh6U0a1X4R0eaY886JOSaOhcLzv9OeiEyI2ef/nmRHewJYGF36fCRt/rG8W0mQLZhq/IiKvQR/OII65neQFH0BGOe/i9fv5v3lo7FZWzEgbzIzhpqZufz4Of/hoSrJVvjj0P60tjp45+s93NKjF0mqhTotQKnrIMsGX8AxfwPHAvWkqSaGtc/C5fViU1RU2QYmOeY6ABsU3yRRE9T447cH+EXndBLNJpKNJD5ebjTOpRZ+PcxEukWJ8o445Alx1K+hKmbMKDxRcDs2xUJd0MvLe7+kyl+HVwu3na0NHMMIHmRqVg52NRWv5iZV8iNxvDW4NdGJJB83KAaQUtPC3hFxziwnK9OIByPixInTSHymPstQdAuvf6JR03D8xJ2SIDHil6d3cSIBb+05xl39kxu9GkK8tecY43PTAZAlnZkF5zOj7HjP8ZkF5yNLxy+gGiwSyvAirC+vQVR7kNIc+IcXoVskTvVoFBmGtj+HcatXRIzcZvUvQInn5PysMSkqKXZn1AVdit2JgoKo3Ir56l/SxpoaaelW4T7Kves/BuD5IZdxeYdCBHBdp4GEDKjXZJ7adBiXdz9Ou5X5RVk4TBL3rixr1gEjm7f27kJKsGK6fSihF5Y30+1Ajio6b+wqZ1C7LqRb7SSZLTyzaz3XdsjhH18KahrCq6OaBsEHXwW5bVAaCzcfRTNCzN20mkcLrsIsm2llDzBhkEErazLfN/hYWrmH6oDGtPzuLK3YhNNuZ96AIv6yZw1ZKe24tXsRaRYHGdZE3r9oCgBllUvZ/O3fuWZgDyaU/i3qzuCUze/wUtE9xBufnTlOpl+TomLoApe3AZe3IaJZgLcuuYYHsy/HbjKhmQUSCdy/cntkfp1b2JNEq8SQtt25omM/Es0q92Vn8dSWSla4DkfMfX/bvQfLKrcCUBXwAwY1AQ8OswUTClWBcMCrLujnzsx0PvgqGKXd974KMPNqKz50ntyyk0p3Hf/vBzOP3D4E/YWSZmOikKf2rcZpT+TR/peybnuTJp/ioe1fRaXNTyx/hecL7yRlfbhlqHDXgX56pYNx/vPohka9xxX+53Pz5wOfc+eAvpEWmM/t3sw1nTMZV/oBb198M5d06BLlGTG3MJO3v97OJR06k6paQZIRwowkJMCEJCQOSQYdTphPlduH8PCufSx3VeG0W5lXlMmLO7Zyc+dM/v6lEaXHNz7TuHNIOmNWHowcd1uHieqAjye2rueZQYOYtOGpSOBrRs5vSFcTeG3Tg6TbnYzImck725/mG/c2IGyiOqnoWWRTOBhhTXTSa8jDKIqF0J13YFjMyIEg5mQnOOLBsjNOUzONWJ4RceLEiUM8GHHWYRhS5ETeRE2DwDBOs65BCnFjj0TmlB2NmEdNLUgHKQSo6IbAbjZYPCgLSZIQQhASGnqz1NsQBoeTZaQ/9CdJNlFnhBAJMumncRaRhESqqvLEwEGRz1EkGhc7cX6u2C2p/Lp4cSTVPcXu5NfFi7FLCYRS00jyewgmO3DaE1r0mHcHfCzetpKlxVdzyNuAX4eZZZVR/iaT1lTw5OA+pFksuLy+SAeMRcX5zN6wjmk5eWTcdzGqkNBlCb8Z0hSZ68/LZlLZ8kgbuWn9CkmVEmOOuXSLmTkDM3htTykubz0v7ljH6KxCZCTaOMyYJC8dkxUm53fGYbJiCJ3p+f0RQmCSIUm1MqrXhczetByXtx6nPZE5uYNpYzWR1fkKup5TjNXWNmaKclDEV2pnkpPq15JKIOCPqdsfPHWkqlY8oRCeEMws2x6l2SmlO3hmSG9u7zGMyWsqI4G1KXndqfIHqHTXMLt8Cw/3z2Z8dg5j+vRFkWRCRoh7Vn+Oy9vAEGcH5hcMZVLZcl7ZvZF5OZdS0xCIOvaaBoEhDKzmIONzunJf3/OQJYFXMfhhRDeSZDtBycCRbGdW64sRhp/ynX9k87d/ByDhJJqs97tJ6NMeU1kFUmoS8YjymUMIg5DXjSwg0eGk3uPCrKZRcmgjJYf2Rb32N92yATBJKlNKt5ygyUrG9O3ApLLlPDnwYoSQ8IVoYWydlGrlyB/6k26yYLGoaFYTI5M7c2uv9iSYzagy3Nu7N3bhiKnHcxMtkc4abR0mJheksqxyHS6vF11IpFuScPncuHxuZm56neeK7uY3ve5DEgKbmkpt4BgQDkTc2XcGZRsWMTj3Afr95l1kQ2DGjDdwjLKND+FrcGFLcFJw8SKSpIz/wq8R518ROZWd4BkhRLyZRpw4ccLEgxFnG1I4Tbz5xVFKggTS6eW0BQ3BkorN3Nsv3BmgVguwpGIzswrCXSxkSaZWCzBrw1eRC7PpuUUkma2RfRgCvvh+N1d1yiIkyViFwfvfVnDDedmnfBxCAk9IpyoQwKYo+HSddIsFazx98ieFEAa6x43QNSRFRXGk/stuD7Ikk5HcldsvfiWqG4EkwPz7u9Hrj2K2qEzPLWTWhtKo4MCyytLGGnaZWRu/ZEa/y2L6m7gDIW45vyuTSssbt/lwBwJU+f2YTAr7NY0aLYjVpOD36zgdNmRJYlyffF7ZVUGF+yizN5aydMAVpCSIFmMuzS6zbNcq3j+wg6zUNvy+Rx4/eBqwKSo+XSNFNfPS7tWMzbqYu1e9g8tbH3m/057IsuJfMnLVPyLbXd56pm5YwYzsTJ5eewfpdifji/6E05YadfHntKWimqJTjuP8eMTS9sn0K0syqRYbCwZcwANrv2qh2xE981mwpeSkmg0aNAYijl8Qzi3fzZi+YR27vD7MskJAF1QH/PhDOm3tNub3H8phv4dXdlXwp51beHLgxZgkGTPEPF9IkmBn7TGcNgevfvMq66s380jfCTyx/09U1OwCwgaVLxY+ihGs4dsjZQD0cA7BribG1KTmP4aR0AopNQnziOsgIZ67cyYQwsB3bC9ffzAekyOdSwfN5NN1Mwhq1TjtiVHz0JC2nUlTE3i2+FcIiKnJVlY74/rkIyGhn8TY+snBfXjs6y2MzMxh9vqSKN2/tKuUazpnoRkB2ppakZJgbbl+kXUWX9CamkCI6oCPZZXrqHBX47TbqQ/6md73d7g1D3Wah5f3fkbICGdo+oJ17P1hJQ8WPYtuhJAlmYDnMB5/NfW+w/z18z+Q6HBy+aDH+Xrjc/gawplMvgYXZV+MZ/BVL2O1p//Iv0icf8kJrT3jZRpx4sQ5kfgV4VmGoYS46kKF97/UI/XrV12oYCghTufnMskS1YEAk9aWRbY57baIJ4QuDGZtWBO5u+fyNjBrwxqeHXTp8X1IMsM69GLc6lWREov5A4ownU7LQSHhCYV4bNOGyD4eyutPurD++/fGOSsQwkA7upcj744nVOfClOQk41eLUFv/6/aTsiSTYD2+EBSGAR432BTkhA4kBhtIU2SeHHgRtVoAd8DHsspSKmoO47QnoguBy1tPneaP6W/iDmgkqWqzbTb8IZ1HBwzEEwyiGfDYpspIGceM/n0JGRqLt65nRm4xz1RsoMJ9lKAc4KZhDt78LBgZc78eptIgGhjUrjMguO38fOqDIR7btL6ZjvMYk3UxdUE/6RY743oXR2qxX9m9EUMQdWEA4cdmU/girsrr4u2KR3ksbwwTy1+JpCk/3v8PpFri6cX/Df6Vtk/UbxOyJNHGqvLsoEvD+gwGIrq1mUz/UrOyFPuCsEnHTruNJFXl3hVrT9BtMEq31X4vGTYHXuHh18McvPGZ1ux8IfHA+hKqAn4eysvjru63MbhuF5KkMiN7AjM3LwRgVI87CBoWJHMGN1/4/zALPzoGr217lJl9RzBj818jmlyQdwvfbHuKc/tNhLHXgT0dSY7f1zwThLzuSCAiNX84imLhlxc9h6QbPFZwHhPLPsHlred352VzaYdMxq5eicvrZdngC2NqMtmiMnX9etItNmblXxBTnwC39shi9sboNcPsjaWM65P7/9k77zCpyrP/f06fsn2BZUB6Z3dZylKWpdmCNTGx+1qSGKOib5CiIiqIAnbsYI1Gzc+oMSa2xBIFpS0dXVCqNBnasnXKOXPOeX5/zO5ZBta88l5RMO98rosLmJ2dObvzfZ7zPPdz398bv6rS3sjEkDXOPkni7Y9J0WNVoposw09CxHn48+Upa4E8w8+1n71/yKHIuaiyygvrH6XWPMBv+k9Hk1T++Ok1XpbSz4fM8Ex+6yNh3vtsEif3n8TeHQu86441hHHdtBHwMeewoIOUDkakSZPmMNLBiOMQ1zAZMwYCikrUsXGNZGnF0SAjmD6khBnL1h6yqC1BbrwDuEJQ2qotl/bshyxJuELw8sbPU7ppuMCUpYsJR6NAskPAlKWLeWr0id/5OmwhuGvFspTXuGvFMuaN+u6vkebY4kSqvc0agF0XZt8bEwld9gfUjO926iRcF3fvZqwXJyJqwkg5IbRfP84JwUxqgJgs8dAXn3nlDHcOGokmS4QCmby4cRmzyk7l1iXN9fdTS3vz+qadnNMt2Y4wFPBzd9kg8gwdR7ioksKm2jpuH9yfOivBSxs2M2PZGh4bNZRwtIEZKxdy64DhzFq9GF1ReXhTBeeM6kWO7qPGivPoplWc0akj7+7Yyq97D2B7Q8QLqEGTjlfw6MiR5Oh+riss485V//Suf9rAk3FxjzipDAUycd3mNOY1e+ZzSfFkHir5GT5/G9zIfvKcRDIt6eg8a9P8L/jfaFu4LrFEHXutGDNWLU75fGO27Wl26uDRzF6+uVmzg7tx0KxvcUNYZ1mEAn7uKSvlzS3bGF9S2Oj1k+D/bdjC70r6erqdPmgE4KJIEg4Sb+6u5NKz+oCQ2RWt474vV3vtGu9asYJ5o8bwzo5KFuytJOTP5ZGhN2E6MlOWvX+IXk8iT9fJUmXW7JlPnVnFbYVXEdBziFo1ZGNS0usSYrEqtq78PV0HX0Mw718HI9N8P7iOhRrMJ3Pkdfxp5Qxvg35h2f3kRHbxRPlZROwoQTWb6z9bQDgapSg3D0ORuW1wLy/zIRTwMXt4IZZjkW/4ubxnP/ZFYy3qU5MlsjQjpTQJkgGJXMNPQ8LkG7ueLN3H377ZzK/OHIQqKdjC4fnNK/lV72KqzAh/376Th8pHemuOP27cwNmduxx2KLKUaaUl/KTnr3iyYiLPrpnBLeXPpHS2eXPZdH5eert3HfWRMLo/L+Xa/BkhZDmdYXbMaSr9PTx2mQ5GpEmTppF0MOI4wxVu0u1fdpAVF0s4+IWCe5Q15Kbr8OgXFYwv6eed1j76RQV3Dh4JgF9V+a8e/QhHEvgVjZiT4L969MN/SPmE7Qpv89VEOBrFPoqWbo4Q5Pt83NCvP1m6Tp1l8dLGr1KCHmmOb4RjeZu1Juy6MBxF+0kROegFIgBETRj7H4+SOO1qZJ+fDzY8zNTi8wnoubiuSaYc45Mtv+e+oZdwU8U/eGPrSh4ZNZRq06batHh9004u6tUeVySYO3oIbfwBaq04v12wkNLWbTi/Wy/uX12ZYm75ZOVXNK2IwtEG2gSCTBtUTsJ1WRDezYJw0mCtKDePy3oV0zUzm3F985m7bjUX9+jZ4liQkKk1I14gIvl4PXeu+iczB5/CtIEnceeqj71N34yBI9BElfca+YEQdZHdtAqE2PzBzdTvq+SbzBADfvoskhDIio4a+NclMWn+9/yvtB2pRq3Zx4vhd5g+6DJmrPzU+3xD/iCzBp/Crcs/Yt66BUweNIwOwRz2RGt4deunXNd3NLcP6c5dy5qDFLPK+qLLgsdGDUWXZYaFCpi9Ym2KdlWvTWwDbfwBVEnCUFxMR+Gszj3ZlzDJMTTmfdUciEg+P4ojBBd1HcWCvZXJuvxoPfetXXqYXj/mppIR+DNzyA+E2Fr9BU8u+x3QaBhY/jQRs5pl659jYO+z+eIfExn08z+gp1Pgf3BkRSdv2FW80hiIgOQG/dUlN3Lxic9xzdKJTOr7O/I0w5uzLuvVh9uWribPMBjfvztZuk7ctrFsiygO4woHIksKT3z+JdOGFHLnsmZj67uHFyIhiDl2i14pbXwB8owgtWac1kaAn3buzfWLF3n6nV02CEVSyNL8/KJrdyY0Zmo0ZUYk3NT2m/mGn9ZGCPR2XDv4Wd7f9AiJwzIcaqJhVLW5TCgzGMLnz8efEfI8I4aU34Eu0hHdY07TUu8wz4hkkCKdXZUmTZp0MOK4wwX+8NUmzujcAR8SlpvgD19tZUL/wqN6HUWSyfel9rHP9/lRGhe1jitRE5d5cHlDisFlptZ8c5AliVAgkLIJCwUCyNJ3v4EYisy4on5edkTTAkRPm5/9aJAUHTUrlLJpU7NCoBxFtk7C9AIRTYgRl1Bl1qL5sjmv8Eb+vO5+1uyZzw3DHmXuirvp02ooAUXlkeFnISGhyDYFfg2wOaNLHo9XLqWyej+hQAYPDz+VWyuWku/zcVmvPtzw2TLC0WTXgaS55VpuLy1BkSSKcltTZcbQZZknKlcxa8hoT+dFuXlcWziEuyuq2RNpaDRb64crYi2OhR0NDeQZOqX57RlZ3I0szUddIs6LG1aQcB0eX/dPHiv/KQioju3krXUzuKh4AtBoxjZgBobsQ0Kifl8lAPH6MFbDHja9fiV6ZohuZ83B3yp9Cv198L/RtrAtMmSDCX2uIuKaPFQ2lrhjEdR8rDmwkoH5gz3NCgSylKBDRpDzO7YjZu3jj1sreGLMReyPxag2YzywdiGX9yzm3e3bmVgyyAtEQLN2540u83QLUG9HEUC9lc0tn+09ZA4fyhPrKryARCgQYHtDA3lGLkU5nais2Y5PNcjXA0woHpWiV7+q4SLx2/7TeXrNDKqiYU+jby6ZSiR+gHMGT8eQM4jXh3GPIhiZ5t+HGshFdzu12Ho24dqEY/vI0rIxHdubs7J03TP6bfLYAZg7eih3rVjOoyNGsbWulnyfjiMcHhnVD1fAwXgc07ZwdR/ZmuaZpzaVVDw8/BTqEg7Prq/kzE5dyDH8TF+2JkW/U5esZHxJbx7+fHWyRNPnIxyNelmS00pLvespym3N9YUjmfBJVaOm87mj7CGEW8s55Y9j6LmYVjVfbv0zPi1ZytbkGeGXg4womYQIZiFF6pDeegwuuecH+ETS/EsO94xouo2lPZrTpEnTSDoYcZyhSBIX9ujCzENOxm5r3EQdDX5F4YaiofgtFQ2FhM+hR1Ee/sYggO0qzKrY5/X+3hOxmVVRxeMnhbzXUCWJ20uHHBFIUI/iWsS3lGk8fRSlHmmOLUowlzbnzjmirl4J5n73F5EU5L6jcQefnVws2oKduQVMWv6CV5f+wOCJXN7vFkwcrh48h2yjPVVmlCnL/uGdPN89eCy6IvPQF0vJN/w8NPwUumRmN/ozRLmhX39qTMtbDDeRbxj00nMgDg+UnMw+GtgdaWjc3AnuHlbGLUuXcFmv4sZARPO4uLuimpuHZjBraBm1ZqMhpu2QbWjMWZs8bfxVn/5MXbrkkHEyAsc1qbIibKnfzZzKN7mt8ESyfPlk+Npz58nvgUiw8qvn2bavgl+Oedq7Vl9mCDuaNA+06sNseWcivS/4A1owfQr97+ZotS2Ei6Vr7JQymbT0mUO0+ysW713Mqe1OYl88yi2HlUB0CGby5LLr6ZpbzG9LZrI3vgdNDvLujg1c3quIrpk5nNlJxnbdFO0W5eYwrlsfskyDB0pOplaJ05BIkGMEEELxAhHQNIcf5MEx5Rw0G1I0WhWPM75kLDeueBoFuK5oBHetWJGiVxkbCQkZH7eUPYUjCQ7Wb2fB2sf45mCyreJfl8/gijFP0/vMR5DVtO/PsUCSZBRZO6L1bK92o1FkleeGP0C+kUO96XLP0OHYDYKOUhbPDinnb3t3UN6ugCxdI27buCKZ/egK2FJbxa/79uSWJStTshoyVYU6K0amrqPJMlMHDEZTVGK2hSzBs+sruaB7T2atXM600qFHzL3haKwxGJK899/Qrz83L13c+LUo+b6Al3Hxm96lzFqaOv/esaSex08KEVEErqQRUwyGlUxBUwTnnvwMdiKGJum4skJcFjgyKLLAn5mPdDQB8zTfC15S72EGlunk2DRp0jSRDkYcdwj8qsKNA4rwqSpx28avKhx9gZ1Edp3BzpctEtU2Wq5Eh0sN7PzkTd4VeDf8JvZEbA6twBBC4FMUbhwwyOuE4VMUxFHcRRKu22J6e8JNh8V/LEiSjN66O6HL/pBMX/8O3TQORxgZmKddRcXHNxJrCFN02jwvEAHJ1oGTlz/PvOFXM2fdM1za9TL21VVx39oFKenktyx/n2dG/py5I0+l3krw3FdruaBbHyxXEAoEyNJ1Eq7DnPIh+FSVOsti0Td7+U1BL3Y8ZZGoFmi5EidcmsMLVauZNmg4e2MN5BsB5o0ag+Pq7InsTLn2PRGbTM0g7sRTDDGnDS4BAWd26uIFIpLXmfSTmFY6gNsGnM7cL98mHKsmxx/ip31vYkvDfvyKQcwx6dvjcvbXbcG2kqnPvswQfU6cQXjho977W+lT6O+No9G2EC51BzdzIF7DpPXvH6Hdp8uvI+64XiACmksg5o34GQC15gHa6Aa2lImMyq97J1vNTigeQq4RQJElT7sIwQmxIFV/ctlcHUfLlWh9sQ9/vgPCoSpe3+IcXmfajFtQkaLRcDRKK182IX8ubfx5jPt0wRF6fWzkSAQOe4SKIhSyZAm7hfT42uge/rr2bi4a8RBtfNnI6YydHxwdmXMHTeeNxlKNXu1GM6BoHPeve4aLu/wCFQNNStA2msGuVxJsq7bQcg1+d2khs7atZn54r6ePUaF2GIrM2I7d+e9PK47Ianhi1FDqE1HuXfsJNxSfzPVL/sil3YZyQdchOI3z36yVSVPKOstiVKiAMzp38Moy39u2kzrLanzN6GGmwwHqEw08OuIk6qwGcrUc9kR2pfyseyI2toD71i5MCfBlBAJ89I+rADihw2i6DbyaR7c96GX0jD/rAUL+7PQi91jTZBmR7qaRJk2abyG9ijjuEGRqKp0zs2njC9I5M5tMTeVoZ27dVBsDEcnvS1QLdr5soZvJW7MiQ9tg6m26bVBNaR0vJKg8cICuGa0oMPLomtGKygMHEEeRpNFU6nEoR1vqkebYI0kyakY+anYINSP/qEsGEsT5cs0z9B02kaFnPo2ReUJK60BIbuoOmDVc2PlcXtm0ng7BfKYPPIP7hpxNUU5B8jnReizXRUbm5or5nNmpO69t+QpN0nik/CRa+TLIUA3uX7WFcfPX8siar7muex8O/slNGQu7Xra4pH0RT1QuxsXl0cpFCEDgtjgusnWNO5enps/fuXwtVxcW0zkzi3zDx31DT+Spkadz39ATyTd8tPJlMvfLt6ms2U7In0uWnkOV1cC9n7/B1Yuf4N7P36DOsTll4G0ois6Anz5Nz5FTjjhx1jNDyOkTvu+N76ptM1ZNxUcTQQu2qF1JKLhCbVGzrmguy1GQEU4Dliu8lPcXN35Bgd+PaQtABaHQWcmk6jDd7n/FxW+p7I1HyNQCLWr1oNnUljGp0ct69SEUCNDWl8MzZVMQrp8JxUMpym02/AtHo9Qn4myo+4Z7P3+DKivC7sgeXlj3ICP7XUf7vGIAcgIhYlYtNdEwf1o4gaiZ+ntI88MgSwrVa//E+UWTuGbUM4wpHs/TG//Er7tfgSa14tpP51Nfa7Pr5cQR894F7bsCzfr47+L+7I1FiCQSjC8pZO7oMu4pK6UwL4dwNMb+eBwJmd/1PYvWejvePuUmLu5azt5YDFcIcg2fF9hauPsbrinqgy7rIBR0Weeaoj4s3P0NkLz3xxzH+/ftpYPJMfxMW30Xv1x8DYokWtT0zobqIwJ89iEOvx16nM2jyyZR1ZgpUhUN88jyyTSYB0lzjDn83CkdjEiTJs1hpIPGxxm6LHMwDrcs2sieqEXbgM7d5d3I1I5u8yc5krcIaSJRLZCc5J1AkWymleVz55Iqr954Wlk+itTcuUOXZQbkd2Py+xZ7I4KCoMT0Md3Q5cR3vg5FgtlDh1Fj2l56e46hoqRjEf9nEMLFdR06FF3ER8tmUB8Jc/KJTxLy56Zs6kL+XBJOgo7BDlzQtYDx87d6Y2DqkBOZt/4TqqwougyOkJk+aBShQJDsbtncWbHDe+5tQzuRZ+iEo3HC0TgNcafFsVAfT1BlRXFdwQXdBnHdggryDINbh/ZnVkX9qyIuAAAgAElEQVTVIXX4eUTteIvpxwWBINVmnOsLy3lgoWgcJ0EmjyjHpwgvEDGj/y8AmLH6lZQT9RmrX+Hp8uvY8o8JnmeELzNE7/IpbH1rvOcZoQaOoiQmzfeC61gY/nwMI4/nysdz0KrnD5v+SWXNdkYXFFFrqUxZuKVFzaqyxOSyxzFkHzVWFdXx/RRk9mdC8VDPYFiVFA6aJvev2MWeqMXrI4q+dQ6vtmIU+DK4e0QBtyxs9oy4ZWge8yrXes8PR2PkGj7mDB9JdUxjxnzL0+jE8uHMXb+YyuqDhAIBgqrOHzZ/7OnyibKrqIqGeXbNDH5ZOImPVj/ITwdP5+MvngCSWRJ2OmPnmKD5c+lSeg2V708kXh+my7kvcHaH07AchTtXJLMU8jUftS3oJ18zvP+HozEEgixNR1c0cg1BtWnx3rYdXFPUm9c3bcV2HbKUUKN24hQEJSaXqxi6nxc3fMnljcGucDTKaZ06U206noab5uPTOnVmxYF9TCsdgisc5o0aTZ1l8kTlCiaUFPPLHueTpWWCZHHbsFxmNpZqtA2qzB7RhnvXvpvyczQF+JrQfXleIKKJqmgYW3z3tUqa74nDDSy9Oo1jcC1p0qQ5LkkHI44z4o7M8+u+4ZaSLuRqKtUJm+fXhZkwsMNRvY4rJ9PRD13MarkSrtzU2tNFVeJMGhzAp2jEnQSqEscVzaeylt28eAXYGxHMmG8xZ+x3P6VVZQlZUrl/dbMHxt1lg1DTPer/TyCEi7V/M7aueYGINvnFKJLOE8OuZWfkAM9sfJ8qs45Hh/6WmkQU05H488bqlDHw5417ub5oFKGAn2rTZcqSpYSjMeaUD+P+FbvZE01uivZELWZWbGf8gE5MWfIFhXlZ+A0FLVccMRbq3Ti3DTgJV8jcvbLSM3h7onINkwb3oV0wiCIJ7li+iNtKhxAK+FMCEqGAn28aGtAkg4cXiZRx8sBCmDNW5+2Tb0UgiFhV2MIlHKumKLcTV3Q/iSwtQF0immJeCUkDS19eF4p++U66m8ZxhKz6aDXsNsZV/IVwtJZQIJvbBpzNq1vnM6nwQh5ZHT5Cs1f2GU4rn0ZNwyb+sWwal4yZx5tfPcVpPcdRazk8snajNy/OHdWamRXbPS3vtxL4cpUjdCsp8O72L+nZL58cn8ukwRn4FS3ZTaOyknXVNd7zQwE/2bqOIfuY/FHqXD5nkcRvh5bw0BcV3DusnA+/WZGiS0VKnjxXRcO0ye7JmYNu4eMvnmBXo39ETiCEms7YOSZIkkxGfncG/vwFXNukQVHJjTeQrQW9LIWqRBx/bvAI/cREc2lPKOBHl2XqbJlJiypSOri8vmkrvyvpS50pjlgHPLDI5voyiRGhDry44UtmDxvO1KWLaePPYPz8zUfMx3NP6snD5SN4Yt1KFoR3HvL+GWTpAW5Z/TTh2D5eKp+HoQYPW5eY5PsOz67MRJVh1OnP4CRiBP2tyA+EUgIS+YEQaro/8rHncANLr5vGMbiWNGnSHJekV7jHGRKCq7t0YNtHCp+96rLtI4Wru3RAPsowsmnYnHCpjpabnPmTdfI6ppFciAhJ8MKGtVhuDCQTy43xwoa1CKn5fWwheQuQJvZGBM5R1GkkXDxDLEiexNyyZCWJ9I3o/wROpJp9b0zEMRu8QETfgbcz+fNFnPvPp7n3839yc/H5PNT/F/hVg+kr38N23RbHQPtAFqYDU5as8PTkU1Rv4dvEnqhFlq5RmJfFNUVduf/LDeRcKKeMhY6X6bTKC/CPnRswFDUlyLCuuoaJi5ZQazXgYlFlxonbNlNL+xEKJDvUNJm7PfdlJZqstjhObAG1CYu98b3MXPck++L7GV1QyLjepzOn8q9cvfgJ5lT+lVorQkabIu97fZkhFNWHkRVCCx59SUya74cGV+KWNR8QjtYCEI7WMnP135lcdA6qpLSo2e6ZebTxBTCMAsYMuBXHcflJz0kYakGKjsPRGKbrpmh57uZd5FyoHKHbivptXNCtBAkJy3WZuGgJ1376KTNXruT8Hl1SNDpr2EBidgL3W+by7tm53DhgALmGzrA2PVN0WZeI0TW3mPxACF31kelvQ0P8AJAMRFw04iECRjpj51ghSTJGoBX+rPbk+vNpZWSjyM1lkX8/8PURa4DQBQZZukFhbg6hgJ/pQ0oA6Qgtzl6xljM6dwQgS/O3qB2/opClG7y9fRsPrlnFvFFjkJFbnI8dF2as+isXde9NKJDsghEKZHDv0FE8sn4e4dg+AOoTUaZWLGXC4k+49rMPmLD4EyYtXsj44pGEApmN35fJfUPH8smW57lj8VXMXXc3pmNx7cCZ5AeSBtz5gRDX9J+BLqXP2445XjBCOvSvdGZEmjRpPNIz9XGGz9VY8IFJQ11ypm6oE6z4wGHs+cb/8J2pWK7gvq+/5IILO5Cv6VQlLGZ9vYUbcroDyfKJX/UqpsaUkYSOLiv8qldxSvmEKiVLMw5diBQEJRTpu99FbJcW09vtdDDiPxZXCKpNE8tx0NCQMvIR9fvJDIboXzKByavfJxytpSinHZf3HInlKmT6QiAkwtFaMoTOpx84R4yBn5ynEyPh6akwN4c8w8/TJxZRbSb4bPcBRrZrRSiokaFr3DG4hF0NUfbHLW7fvI5xF3ajjW4Q8Mn8bu37HDBj3DN0DEFVbzHrobXPT60V4Z5hw6kyTf66dQvjS3p7xmymk6DKjFNrxSkIBo8YJ/WJCDet+As3lZRzXe8reGfXB4wvvITrljx1hPnhY0Ouo+Gda/Flhig+bQ6aP73JOxYcql1dUcg1DM/fxhIu+XqQCUWnka0FqE1EeXHjZ9TFDtDW6Mr8D6wjNXu+zrr6Xdyw9DVCgWyeLu+HcJrM/GIU5uZwea8+ZOsGKhovnFpIQNVwBeyLmryxZx8X/6aAmOngNyRmbPyUX/Yu5qOdGyhu1YZsLcPT7rqDNTxZ+RU3DiiifTAAEjz+xVo+De/mtVN+1uJcbrs2eYbBK1uWUtq6fYoub1r+B+4ovo5WvkwC6GRldeU3p7yI7Vioik7AyE2bVx4nxK1adu76kC4dzuT20lL+tGkTp3fqzAEpTu55PnRVImYKPltqEYsJHjyvjHpskBLsi8VavEfnGjqKpLCtIUpBUD1COzHHoVMwwOs/OYPqeBxFkgnHIrQN6F5AojAvyJWFHZDQ+GWPk3lvxxrmjfwJtmPREN2NLqpZsG+J97oBNaNFw+uIHeWGfoXk6bnkG9nsrF7B+1teBJKZO3Mq/pvx/aZzTZ9JaEY2CbOWjcsfo+2ou7+vX3ma78i3dtNIrwHTpEnTSDoYcZwhuXgL2iYa6gTSUU7cjhDMDx9gfvhAyuO/658MRrhCILs5PLHYbqwhDnD7aBUh4t5zddVm1sk6exvAp0rEbUFBRvLx7yodRZIYFWrDGZ07kqVr1FkJ3tu246hblab5ceAKwZbaWm5cstBrG3jfWXPIUC1OL5iLJWV4gYhxfU9j9orm7hT3lA1idNuexBMJGupS02sb6gTChd2xCKGAnzzDYFzhIG79yGnUr8K00R2Z/3WCjBM07vjEbHxc5fbRJfx562bGLV8NwNwxRXxRvR+AKRXzmVFazt1lg1Ja2t1dNojd0Xpe3bKea/v2J0uDK/v0ZcrSxd7P9dDwEdwzbBjPffkVt44eRH1c98ZJtt8mqEvk60HaB9pRa9VzWbcLsV27RfNDPbcbZf+VLMvQ/OmyjGNBS9q9v2wEHTQb4droip/rC09n5vLK5rbLg08nL+CDRMvztnAEfjVZyhCO1h5yGCjzx1NPxLV93DG/SasJZp2kczAKIOE6Bmd1CTFv42be2R7m2ZNKmB/ewYbagzxafgp3rPwrANOHnMmMZZ8TjsY4GDfJ8xlUW3HuWF7hbexe2rSWaWMGcuf8Q/1/dDL0BA2xBGuqdjIilDQ2LMrpxBU9TiZLC9LOn4Nrhqm1a1HtejJ9Bai+9LLheMN2LDIzC/j6YAXd84czqWQQtVaCHCnAm2/Hjnj+gQaYvsRh8ggFTZVaDMbm+wyqTYtn129m2pgiamJK8/zmc3Fli9srVnDQNLmttIQa06KNX+fOss5MW7KNfJ/GdcXdeGCR3eg1kc/kEWOoN7/BcRPkZHbEFYKnhz3MOzvfY1TbcvKNHM9/ovlaAmiywuSVtyf/72/DE0PuSPl5qqJhhKKz5P3J3mPBYAg5nfx77Gky90h300iTJs23kF5VHGcIGTKypJSFbUaWhDjKe6oiSYQCPsLR5uBCKOCjyapBFgHuWpBaB3rXApuHT2uuzbQdlXpT4tEK01vAThlhENS+u2w0WeJXfXsy9bDe5VraM+I/kup43NvMQfJU66alS5g2oD2PLb2S64c9TSiQzeU9R3qBiOTzYkxZspLHRo2lvsEkIytwxBjYFqnluQ2VTC0twbZV5hzm03DnApPZJxtM/ad5mK4t7j61G1/XRThoWtRZpve6+YafDkYrXBeeGzUaU7L4uq6e+1dXcjBuMrW0mHnr13Be125kaHDjgH74FZ2YYxF16vm8eg039j+ZmpjGoxXNG72bRshIis31hacQsx2u+uxVQoFs7hvyC0YXFLFgb7NHxOiCImRJ4aCkowmZXMdFVdOL6B+aatM8Qrs3LlnIYwO6Y0l1xORsZi7flaLZmcsreWJUKarktDxvS4KQP5unRlxKrRVDkSRitsyti7YwoX8XnlrWrNU8v0SNKXH/oub59sZygzM6tWfl/mqCmtb4vg3UJeJU1uwG4O3ty3h25E+wXbBFgs2RXXTPbpeyoXt7+zYAHhw7AEcks9te27qMl7esbmyVeAp+JRmIGNfnbF7bspIzO/ZDlRrI1dvw1sa5fHmggv8e8iCttdb4fDnISroe/1hjuy4H4hFsESA/ZxDZrsWOSISZy7/ghn79ibtui7qssYTnbXPfTzK4rbSEmSuafZ1mDxtEwnHYF4uR79ORAE2AIcAREFBlXty4xfMnmbliLTcOKKJ7diZBTXDjoI50yAgy5cPEYV46Eg+O7cw3sT3csvAtr1XnvUMu4dkNn9K21wncOmggs1au8gKCtw4aSNyJeNcfju1DPqz8Ij8QIjvYjpN+/iauJCMLlwzLwXDSnibHnG/zjEgHI9KkSdNIOhhxnOEogjFnGsx/N1mqkZElMeZMA0c5uplbluDuskKq4+BXVGKOTa4PLxiRcFuuIU64zUECR8jcszCespi4Z6HJg2NTWw/+KyxX8NGO3cwpH44iyTjC5Z1tX3Ne985H9fOk+XFgOokW02w1JYOuucXossq9g3+OEHqLqcExO0FBdoD8s3Tmv2N5Y+DEs3SmVCad/9/f/jW/6jWQvREz5fv3RgSyJJHnl7h2sE6mLlFvCV6tTFAbd7iysAt5PpWGRISi3NYA3Nz7JJ5/K0FNgyAnQ+Lsk2SeW7/JW2TPXvEF40t6UhDIZPzi5OK5KKeAy3sNQpUzGZBXTiyhHGHwdt9Cl1mn+Llp1Ts8Ovysxp+vlpuW/YXHyi5gY903hGPVjC4o4sqep/HbhX/0TBHvH/xzumW2QVXT0/MPieU4LWpXCrRm3tJJXD34mRY166Lw4o4P+K+zTufjQzQ7+kyNP25bz8+6dubqhS8TCmTzVPmVzKzY0uhrorI30pzydmGR5gUiIKmj+xeZ3Huqn6mlPdFliaLc1lSZMaKJpPaLctpxcftUDV88tiuyZB5xwrxi/z4u6VmLIsG4Re8d0SrxyRHncFXPsby2ZSUXdhvMXavf9TR5z+Ar2V2/hceWTWJc4S3kGq3Izu2RDkgcQ2zXZXPdAW6u+Ie3qX+i/BfMXJ40omzl8/NkRYIbxxosfd88ZC41uHN5soxib0RwMJ5gbuVXjC8pJEvXiNs2jnDY3hDhvW27mdC/hPo6hY8/NT2N/fREgzM6deadHUkzynA0hk9VcYTMpE+TncDmjSn8ljUG3Llqvqe/0vwT8Cl+xheegSzB2qp1jC/p7ZVCvbp1MZf2KOH10b9HQcXFIaDonmFlfiDEpKGPELZqmbxyFuHYPkL+Njww6Fa6KWkLy2NOU2LEEcGIdDQiTZo0SdKr3eMNV+bD1SalY3QChkTUFHy42uL0EUfnGSGTzH54fInlpatPH6Mjk2x1JUu0WEN8aMKCK2hxMeEexT1EkyROPaErkxc0t5+bVd4V7Sh8J9Ic/wjhYker0VBbTLN1RZyfFk5l6urXyDeymD3oyhZTgzM0HVu4RIwoo3/uQ0XGxsVUTfJ8Popy8xjbsRs7vqWOWZFcrhyoH3G6nHDjdMoI8PxXn3PSCZ2YPuhEDKHy8js2NQ3J16hpELz9scuVo/owsSJZxxyOxuialYsmS+TrAfL1ANcWljFz1RImFA/h4c8/Z9bgE9nbfHAHJMdJJOE0LribB1U4WkuDHWVi0Viy9Cxy9RxuWPJGiinijcvf5LnyS2itpn0jfkh0RWlRu6qskG20IqhntahZ23UY2bYYOZjg1PN0hAuWcHh9xyaGhdqhy8nbbDhai+U0m1TWWTYFQcXTcL6/5QCxLMkokkzClbmjdAwJ18R0EhTltGNSn7P460ciRcOvvG/xs58Ibh00mFkrl3snzPcOK8enyDhCeBvBJsLRemzh0C6Yx5kd+3mBiKbrnrL8r9xadDVPLrseRfPzyfxJnH7a8/gz2vybP4U035UD8YgXiIDkZ1gVj3peJJm6Sq7fIaoLep2iE1QlIrYgoglvSioIShw0k34jU5as8F77Tz8ZzUNrV3NNUQmKK/PWJ2aKxt76xOTSs4Le80MBPwrgulBakMklvdriV3QKguYRc7QmS941n92hD+d1LWXCZ5WEo3FCAR93Dy/k/V0reHnLUi+bTJcUbljyuhccu3fIL7h95EvU1H+Nk4ghqRlMXjrFM8IMx/YxeeUsniu7lwKyvs+PIc3/xLd4RqS7aaRJk6aJdC7w8YYr+HK7y0sfmjz1TpyXPjT5crvLUUUAAMfVW2zL6bjJtEVZTjC5XKUgmLwzNPUOl+XmvtyK5Hpfb6Jpw/ddsYXCrYuSgQiAPRGbWxftxRbp84r/FIRwiR3YzFevXYHesIt7hg3zHN1DgQB3lBbjUzVuW/0a4Vg1lTXbcYXN1NKiFOf/qaVFyBII14cqBdgas7h5xSauWfgVe2M2E0sGcGWfImav2Miz6zcxcbicot9pow1qD0lzh+bTZUmSkCSXsR17cP+KvVz09/XUxl1vgd1ETYMgR2sO/IUCfrbWNTBuwVJ+VzyGGYNPZeaqJYSjDWTpBuFolAPxaIvj5ICZPK10DnHqCgWyydT8PLh+Lr9dMpE6K+Jt+poIR2tJpE+NfnByDYP7y0akaHfaoEJq49v4eeEk6hMNLWo25sT4LLyVmK2xK25TWR9jTuVOykPt0SUFR0jcN+QiinLasTdWTdtAcg5+8atd3D5a97QT1GhRR7IkuKtiJxf/fT3j528h4eg8v2Elswf/grb+nBY1nKUbvL9jOzf068+8UWO4oV9/snSNDbV7cYTrdSZoIhTIRJUUDpoHyTMCLWoyoOeSHwiRMGuJRMI4boI0xw7bdY8IKlVbUUIBP5f17s7ftu7g6lKduz61mDTf5JqP4kyab3LrxxYXFmmeb8jeaC33DivjyVFjuHdYGaNCBZ5pqyJJKMgtaqzpxLupa4uhKjQkTH7RvQ0TP93E7kiUyeXaYWsMDVlq1t/lvQYzdck6r5w0HI1zy+J1XNB1GG+eci3zyi8m3whyQ8XrKcGxm5f9hZiQUfxt8Gd2AEn2AhFNhGP7sIXz7/2lpzl60mUaadKk+R/4wTMjJEnqALwIFJCcjp4WQjwiSVIe8CrQGdgGXCCEqJYkSQIeAc4AosAvhRCrfujr/sGQISdDSrn552RIRx02cr4lq8FpfEiWXAw9wfVlEn5FIeY4GLqJLDUHCSQ5wdRRCrM/dbxT5qmjFCQ5wXeVjuPiBSKa2BOxcdJR8f8Y7Gg1W96ZiBrMxw4EeX/9bG4puZCAlocr4mQqERQtN8W40cXltS0rGd+/L1man7pEjCV7tpDTfgh3eCZ7MhOHd2Ve5VZmVmznsTE96JiZxaDWuVzaqys+RWbOWJmqmMOBeIK/bKrikr75Leq+td+HwGL2sp3eyfRBM0FOhnLEWIs2djtIbjZLeH/7LsaXFCKhoEo6pa1CvL1jE65weWj4KHINndtHa9y1IOGNk4nlgj99vYZ7h5zG29tXN75eNtMGnkZQUZlR9Ft0JUCWHiAUyE7Z/IUC2Whpg9cfHFmS6JadzVOjRlEVP0C9uZ93198BEvxq0ANsqt/Pe9u2pWg2WdJQxNjQSG76oEm3ChOHd+CVDTs5p3seV/+9glDAx9TBZ7B4byWzywczddHXrDsYQVcTXD0EsnQNTRFMGm7w4OLmrJ5Jww3qrYSn2T1Ri1sWbeWOsiHYwkWXRMv3CwS/7F3I7kgEUNBlFQmJheFNLNyzkXuGnMaUZc3p/fcMGctrX8/n4m6jsBy3RU1adoRrB9zJhmWPEgyGUGTth/2A0qSgyjKhQGZKQOLd7eu5p6ycuONS3Eql3nJanA875Uj8dmiM93dt47QTeh4y5/q5Y8xAfEqCSf1LuXXJl0wfWNTiPKmr8OexJyHLEpoE96+uZEJJMeM+SZZpSJLMvDV7uXpIXqN5tc28tXuZPrwNdww6iTtWfoyMkuJrBcmAhCPg9xs/YHnVRp4oG9diFxvTtfnFgquTJRmltzG6zTAW7FvqvU7I3wY13drzmCPSwYg0adL8DxyLmdoGJgkhVkmSlAmslCTpQ+CXwD+FEPdIkjQFmALcDJwO9Gj8MxSY1/j3fyRCEpx/qk4iBoYqYdoCzZ98/Gj4n8owZAn8ikuNFMeVNYSbwK/4UoIRuiwR0G2uL3M834mALtDl757VoMjQNqimBCTaBlWUdE7OfwyuY5HRYTC5JefRYNawZs981uyZ7329a24xvxk8h5C/OSCxN3aQi7r3485VH3sbosfLLmDKh6nZPHMWO8w6uTszl29GkiRitsn53bpz60fNZpGTyzVeXn8QAMMRPHOqjypT8Id1Cb6sSmb37I/FyPMr3qYO4LkNu5h8Ylfe+cTxaqHPOVmmVrZ4dewYvq5r4P3tuxjbsQOzV2z00ohnlxXTLpCBLOncvyr5+KhQK+45tRcyMooscKUY1xYO5ZPd6zmnS39GhDpSl6jlsS8fZ3rxOAw7jk82SMR2MXvg6Uxd9fcUz4hcI/XkOs0Pg4RAFnXc/9l5KY8LXN7ZsZSLup3MzNULPM3eNmAMrmtw12eJI3R7w/AQipKc98LROLOXb+GJ0UN5/eulPDxmKJqk4gqZR1aH2ROxeWRMe1btgjknGmiSREII/rYlwYATUk9390Qt8o0ggjiuYnHRTwz+9IF1iO+JwrMbtnJa5wLuXrHF0+2Mob05rUMx4xa/DMC8ET8j4bo4wuHlzf/krV0VnNt5GF998ST3D7mKG5f9xdPkfYPPIZDYj2pbxGMHOHHMgxj+/B/gE0nTEkIIMkWQF4ZezLbIQR7b+BlVVpRf9y6lwK8RcyT8ioMuSS2uA7bW1XDz0iXcO6zMC0RAUrt3zDe55xQDsMkzdN7d+Q1X/KR7isYuHmtw75r1LAgfIBTwcc/wIq7o3YOEKw4pQ0pQZTrcsjDsvXfboEqNVU8rXwaPDP8pmvztRtunnzCEt3ZVcDBex/ii5o4xoYCf6UPO9NYy4dg+Jq+YyZPDZrOxfushnhFTyXOOrrw1zffAIWUaQghEYxQinfyXJk2aJiRxjGcESZL+Bjze+GeMECIsSVIImC+E6CVJ0lON/36l8fkbmp73ba9ZWloqVqxY8W1fPq7ZF3FQ44KALaEg4SCIqgLbJ9Em+N2DAPujJnVxmViDRFCRiDgCf4Ygy+fSOmCwN1pPLJHAp2Zgu6DKELcb8GsaBY0plHsiMd7Y9A2XnVCAIcCU4KVdezm3R3vaBv3f6ToOxuLUWrAn4uBTZeK2S9ugQrYOef7vboR5nPG9HFsfz7p1XJuG+AEc10aRFIKunqwR9mXjmDXYsgxWAFwFR7KI6CYCGVBxhIMqy0g4OEJGkxQcoeAIUCQaVZ4sz7jszeSitG++zFW9NPI0iewg7MIiPyDjuAqT3rdSFtfDT5C5drCGEpWY/66J3y8xaKhGVo6MkASuCvUkMBSZmA2OcPl/G8K883UVo9rlcPOALjiOi6LAXquWKcvmM6F4KI+s3cj4kkLe+3o/Z3buQLamU5uw+OLAAS7p3pn90QRVpslzG7YgIZjUoyPdM/zYMuyRE2yLVPF51Q7O7lRMtVVHXaKWt3e+x+TCq4hGvyFu1bLkyz/QOqsbwwqvI+E66LJKliwjCQfj39/i8/+cbluiScsIGcPORnY1UAQRrQ7LTSDQsRwTTQkkWyBLYCgCIVQSblK3sgSq5AKChOPj8jfjR7zP8z/zoSgJ9sTi1FkJXvpqBzOG9MbFRJN9fF0X56+bD3JFn/bUmdAtR8NIgGFKyEi4CExDkNAEOyNx6iybl77aQ1UswbyTepIgioaKQOGbGosTghkciJtYkiDf52N3JMaz6zcBcGWvbrQP+ghJLjWxOg7YMRIBuHLxY971hvy5PF0+DlUCITRMJ4GEIB79hlVr5rCv6gsuO/tvKJKKqhgYvhxPn65wqTerSbgWmqyTaeQi//u0+2/X7Y9Ns0K4ROPVOK6FqgSI1Wfwz7ebTSlPOktHzjSxXBnLdQmqClUx+H1lNb/s0wo71rwOyMqCFzeu450dO3lm9ElM+PuRa8CHT/OR73fJcmQkB+JSgixcJMcFRebN/VU88PlmAApzs/hN3x60DwbQFPjzpjD9WmdQENARQuG2Rc1+UbNHFJBjONRaCYKSD1wJTZV58POvvMDG7LJCPty5hfO798ByLQzZYG/UJM/IwBUS+2JRXt+ykUkDCkm4URRZZtm+5QxuXR3+PV4AACAASURBVIIkSTjCQZEUcuUM9EgUOb/1D/1xQXqu9TCX2zQ8aeK/QmPNFzbqPkG3XZB1iw+te7pc9zgjnZKZ5phwTHPYJEnqDAwAKoCCQwIMe0iWcQC0B3Ye8m27Gh/71mDEj5kgAr1eomGuiVslkPMlMscZWL6jCxrpsiDfkln7lsk3tQJftkTJeQZSIHnKFpA1ahyNSQvCKQuF/EMOEnQkfpufh/P4h7gHI+h5QX575Rjqj2K+UiSwHHhgxYGU91HSU96PBse12Vu7idcWTaYmGiYnEOKC4feTV/EBWr/TcHPa4lYH2PmyTaLaQcuVaH2xn30ZEaZWLPQM9O4ZNpy1B76hX34npi5KpvK2DehMHdKB17asY1K/oRQEJfJ9Enf21hFPJcdAIl8idI1G3OdSFbdTAhF9Wsmc00dnX7Vgw0fJQMSwMp3175jEG3VfeLaB7FeoUhzmrDxAVdxhVnmILE3l1E551Dr1RB0L4UArI8hLZT9DciWeH15AjZTgwm45zFnssjciKD/B4DfFXfj935qc5XVuP7WQ3GgdxvMLsQ9GkPKCtLtyNO9W1zC2Qwnz1lWwYM+2ZAu7oVejSjBr0VXkB0JcM2gWmqTxwKLLPWf4a0qmc+CLP9FnwDVk5XX/dwck/k/TpOVPK5/l1A5T2f2qQ6LaTmr2EpWqYITnN6zggm4DmLVygafdx0eMpiEBtxyi29uGdiTPkKgx6ygIGuT5JS4s0sjUJeK24KCZwK+6jJu/mlDAx22De6MrMhFbRnbBpygcjCewHYXHl9rcNxpyGiQih8z9wXEGamt4Yu0uquIJbhvamTxDRZEcDsQtVMmltRGkezADWci00/08ssZi0S6LgqDKbaMKUW2JZWtdintEcV+aT+bBCFl5QdTfjOa58uuxhSDmmORofqJ2lGrT5q5Vn3nZH7MGjgQgMxhClhRWfjwFM1bF0FPmkJXXHQF8U7eZRyomeBoeP/Qh2md1/3cGJP7PIoRLVc1m3v10AvWRML848Q0W/l3z2nU21Ak+fsfi1PMMrv1sOeFonLmjBzFraTX5hkKWCZvesrx1QPtzDa7sU8iZnbrSyq9SfoLDOV00cvRky8+/fp3AcQQZdTI7XjbJ6CrTbmiUxO/nIxrnt3N+PYZNndqyuS7KuMLCxvnRbPShaMez67/ms901jGyXwyMndkSWIOE62MJkzpqN/KpLEa984nqZFr8b24cbBiSIOzZ/3Pglb2/fxk+7dOPOlR9z+8DTcZ0gUz60G7PhNG4aUYwrHM75eDYhfy73Df4lASXApYt+l9JNo2uwHenmnseYxsyIA3tc6msEWU1JsunMiDRp0jRyzFYKkiRlAG8ANwgh6g79mkimaxzVVCVJ0m8lSVohSdKK/fv3/xuv9IfFMGUvEAHgVgka5poY5tF9VIqps/bPyQ0ZQLxWsPbPJoqZvDVHHJmpC1ONJacu3EvEaX6fDMvFeS65AAEQByM4z80nw/ruhg+xb3mfmJNepMKPQ7cN8QNeIAKgJhrmtcU3Eh95PomPn8a1/Y2BiKTWEtWC/a8I3AbJ60wQjkaZsnQxI0NdeX7dHm4Y0JG5J/bhhgEdeX1jFWd26kZtIsLEcphUrHmBCEiOAffJBBmmQqaupJj8XVik8eBik6Aq0VAn6F+qeYEISOp+3dsmNEjEY4L/6pPjmaie26OA33+5Hp+qEXcEL361EeugxOqXEiyea7L2ZZvcmI+3vhReAOSMbhqvfpDqLK812BgvLEwZJ+K5BVzargc3V8znzE59G38H9dxc8Q9ckhG/qmiYJ1feSo1VTVXj77YqGubJtTMo6HkWFR9NxDzEZ+N44seg25Zo0vKQDpex71V/qmb/n4IT0TizU19mrVyZol1byPx+XThFt69uOIAkqbQOGMw+WefKgTrzlltM+iDOoxUWCIUsQ6UwN4twNM7M5V/hCikZgBAuccfhysIO3LcwuclqI8teIAKSuo/MNdFNmcv6hNgTtZhZsY1q0yQh4LaKFdy/eg2xKlj7coIlc+N88f9MftNNp0++zN6IIBZX+dvHDiO6OWgvpc7l9rML0CIOVy9+gns/f4OEcFBlnxeISP7s9dy66jMGDriZ00fcR8Kso3vJFcQawp4+681qLxABSQ0/UjGBevP40u6PVbPReLUXiADwGyEvENFEQ51AOHjlDnmGwZ6IzdW98tj010TKfPj5GyZ7DsADCxWiFkzoq1P3rsXGF+LUvWtxQx+dfCR2vWySqBaERrpeIAIatfP7+Uzu1pE7hvTzArXQZJRtclbn5FnSZ7tr+O/5X7GxtpobFi6mxkxwcdeevPPJkR1gvj7YwEUf/p23t28jFAiwL1bP5T2HsCfi8MAiJ+U97lvoIonkPBqOVXPT8heIufYR3TQOug3f2+fyQ/Fj1a1Ho1QP7nMxfJCVl/y/a6ejEWnSpElyTHaEkiRpJAMRfxRC/KXx4b2N5Rk0/t1kjfwN0OGQbz+h8bEUhBBPCyFKhRClrVsfk7S8fw823mK0CbdKJJ02jgYXbwHSRLxWeFHq72IsKTuutwBpQhyMIB+F+6SdNrD8l/wYdOu4theIaKImGsZ1baQRF4Eje5u6JhLVggwl9UwqHI0iSxIX9Ajx6Kparv/nHh5dVcsFPUL0ys5FV2S21H1DO7/c4hhQXZnH125P6UCQ40tmUrRR4bxzfLTJljEO60gQrxWomkRQUcgykmmheyI2tiv4NLwXR8BdK5ZzwQm9+PpvpCzc1/zZ5JwuzUZ92bp0hLO8XxEtjhOfkJNdNw7pzhGO1mO7gptHPMONw5/i0v7Tyc3oxDVD59A1txhIbuZUI5tYQxjXtTge+THotiWatJyhtmpRs5myjyzNl9LeE0CX5RZ1azmC8/5eQVADyRLMKDO4Z5RBnk/ivoUJEAqX9e4EJDeKtnCZueJzYrZDnqFyQobP22RJTstzv+QkDS6Bxnp8CdsVhKNRru1ewpa/iRTNbn3b5Nd9k88PqEm9ZuotazRLbt7QTVv1CkLILbb99AdCqCg0RHaj6dkAnj4TruUFIpqoioaxjzPt/ng1a3mBCEiWCHXsKnPGaQbn/szHGacZdOyaupSTG72acjW1xXVAji6R55PIRTni0OLzN0xa6ZI3PiSp5XUAjktVzG7RIDPf3zz374laZGkG4WiMmSvWUuAPtNidI99o6lITYFrpYJ5cv4Qs3YdfUVt8D1cc0jI5Vp3StSj52H9GN40fq249Gj+6uipBdq5MMDOp1cj+9CIwTZo0SX7wYERjd4zngC+FEHMO+dJbwBWN/74C+Nshj18uJRkG1P4rv4gfPSrI+ambKTlfOvqCGhl82amv48tu7sohS8nFyqG0DaqeKRSAq8hIecGU50h5QdyjcJ9U5ZbfJ21g+eNBkVVyAqGUx3ICISTXYd8/7gTFRctN1ZqWK9HgpG5GRoVCgMzdyw6kZMrcvewAcUfw5BcbGJPTheoat8UxkJAEn+2uQchxri+zefHnPtoFYUYvHecBk8RdcaIPxCkp18lu1ywwX7aEnRBEHOf/s3fecVKU2fr/VuiqDpNnmJkGyZkhp2EASSqomHZlzbq75oyEVRFERYIZXQOm9eq6Xlev7howrqug5CBphixZegaY1DMdqrqq3t8fPdNMy/C7cq+7htvP5+NHaLqrQz116rznPed5CBrx5LTQpzZYHHpQJMh1u+noy2o2cc/Vj36WWlM0uBUcRcSWmr1OopKD35tGMGYkHvd701EkiaX7FmLILmZseoZfLbqO+ze/zPgeE+mQ3Ytcrx+cGJ40P7KcajL+IdHI5XrrSLOcrXOiBGPRhL1nIySUZnnrkuOdDyIkse0zky/fjLLrc5PJfTRy3BIxWyQKCX6vG1WSCIQjhKwYDgKXfNTO01FEs7wXiiDmxBP3Qq9G1LYQCB4cMpTOac1zNkuLHydsxflaZzbP0Ur76CIzEKlGlmjW9lORBC4tnW92vE/MjLtsNPLTJWtxzjZBrtePmuLuDwJF1kj3Hf19jdghRvTR0F8ysWZH0V8yGdFHI2gftVo9FAkxvTiPettuNg8wHMHkPhpOuPlNC1sSietDiObzAAOJoGk1a0ebrskU5cZfU+jVsJx43A2EI0jSsTE0K00i16Px/KgRPDZsGK/vXEtpTQVBM0rEbv49mlqM+z3ZKN8ZCYq7aaQ0CX50NOjS2QIysiQ8DecyVJnqjEghhRTi+DGWhMOAy4ExkiStb/jvTOAB4DRJknYApzb8HeBDYBewE3gBuPFH+Mz/PsiCtCv1RFIq50qkXamDfGKB23RZ9D5fTyQi7kyJ3ufrmK54Mu2SBdOL8xKFgkKfyvTiPFxN3qdek1GuGpVIRKQcH8pVo6jXTqAYITX/PuoJuoOk8OMhzZ3HBcMeSRQkGjUjYstfxQoGUF1RWl+mJpJXV7bESZe5UNOkxKJuhN/PVd2LqIqazXbKhGI257fuwKKFJivXxHBdnXwNcK3OPsfk0ZO74FVdtErTeGnLDuprovB8cmt79EWDrkPjC8BGzQh3Frg9Eq9tqaHQpzJnWAEL9+xmbskAopbFlD79sSXRbOKe45N4aLRO91yZD7+JceFYPZFMZ6VJqFlurN+fnHSdSFeN5C8Hd/BA8Sg+2LsZiC/qZvYfRbVZyWldruTuDY8ntRXP3PhHzux2Hdf1uw9d1ik+9TF0T/YPezL/j6ORy6v2v0r+hZEkzhZcAnk5bvxeH3OLS5K4awtxXN5e16UjXyw0kmb4V39qcHUvF0eiJkEzht/rZt7QIlwyjPAX0MKdhmUrHIlGuWdUvNOnxmg+9juyQJGcBp2Ktvi9Gpbj8PjG9eyorznuYrPAJ+FxW5w7RmHJNwqxy5NjuXz1CB7f+2nidX5PNhWRcu7uf3KiIOH3pvPg4LGoIoIZC9Ojx6Xs3PAKnjR/gp/pejYTi+cnChKNmhHpeoq7PwS87mzGj5ifKEgohk3o6e+M8zxtkC+78HvjotBvbj9Atlsg3DF6T0jOAzqcreMosPpTg0ik+ZgXUwQ5F7pwZUsEvpJxXZnMHfXKUTy5+zB/3nogqVOtwCcxeajCUxv2cnm3wgRn5Ya8wu/1UGHWc9ZoKSmGXnGmhgBaqrmEIza/69ofvzedP29fRaFPYuZ33uOeURox4t1LjZoRuqzg9+Q3PBbXjMiS0/4FZySFE0HThhVvmoTa0GgYrkx1RqSQQgpx/OhuGv8K/BwVhxthHXaILjTxjJORZIFwJCKfOLjP0lBbfP8iQEXI5K1tQS5ol4WGhIngzT01TOiaQYFPoz4a5bDhEAhZeFSFiGXj96m00GXS3PGE5kg4gmMqpMUsVBwsZOpdKrJmk+f9fm4a39ZHuWf5bi7v7m/wGo/x6pYA95W0p1Vayk2jKX7KvLXtGHXRIziOhSzJOBs/ovarBagZfvyXvIijZxKNKAQjUQ7F6vnrwfXc0nMYqqRhC1BliUc3rGF82848uTZ6jNXrIyPzcZkSn74W30FrUSAzqJ8Ljy7hSpcISDYmFjOWHkoIoc4emkcHoaJUCZwQRD5ysHbF45lvrpuoCpIE5bEY2WkyR6ImmZqGIoMq2cSEaHDzkKiMSrxcWs1N7fLY9V4sIX7Z+3ydsCKoj0J2OpTHDN7fs59xrVrSNs2Lg8OL27awuy7IrR06kq9pZHvd1GsSYRFDCIv9oSrcqk7UMsjRdR4ofZxJRddw1bKpx/zOfx/5LCuW3c3pQ+eSnuZPuWn8C5DkphHLRLIlhBSjXIkyccUHBMJ1XNaxH7/p2A/LESiSRHk4ypwVwWN4e0v/dFoqbpa8cex99LzfeqiVDTwNjWEu2WFJ+U66ZXZN6OiMaOVlZs8cVAdkSSLynoPWR0XySYiQIPJRDO0ajSpPDFkGRRJIwOs7tvLazh2c06YdN7YewMa3jCTOCq/ggGHwxMat5Lk1JvXqSsy2yXQsooZJpR0jNzedHXX7E9ws8GRiihCGbdBCL6A6eoQcdy4vrZlKrXmEWwY/SoG7EMeKIMtakttLo5uG5ZioKTeNHxyNbhqOY+KJtKD2DuOY58izZSIZAiHinfEh08RBwqvopDsqUVPgdsk8sd7k8m4aX74ZpUWBfIzgb58JOnZGDEfIeGMKsgOSS+CKmUi2g1Bknt1byV+2VwDwH6d151DIIUNTCZoW39QG+VVBDj5JwpIl/ho4SJ/8TO5fvY4HSgbiCBsJiXTZQyRmYwqLPJeP6jrQVAnTEmSng9AMJAlqDIWXNlVzZvtMsnWVHI/M5ur99MzNx3RsbGHx/r4lXNJhBDYGlrBRJYUs2YcUq0dPL/w3ny0gFWsTiH4VI/SySVkH6DFMRTos4GObfV2g3x2+//4AKfw7kZKWT+FHwY/qppHCsRAugXuojfnUNkSliZSr4f5tJ4TrxIpGLhlOaZvG9Uu+TSze5gwrwNWQH9bbNjtrDtMzr5C4W5dC6ZFyPHktaNxLcAkXlSGJPy+yqKmXyEqDX49SyHV9/yRTkSQqozHuXLoz8VihV0ORUjHv5wIhHOprdrPqs8lE6gN40vwMGjYTT+eRZA+9DjmtBbXRMFeu+q/EvHnPrAIORRxmr9zRxDWjiE/27WBacTfmraxO8HJacQ4L9+zmig5dSctwqA8KDlc4fPixQVqGxKhfaciyzSsbahKLwTxdxh90cF7cit1wnfgu70TobxJOLQRMi8s+PxA//uAW/Mfaai7omoFbjVITjZDn9lEdjeIAEUvi0dX1lIcsqiIVXHdWDv0y3AgkFq4y2LLXIStN4tejdFpnaZzfuRC3IiG7Yhg2nN2hHVVGlL/s2cdVPTpTblfzxJp/UmmEeHDwr8nWPaS53FSZUd7c83d+1+liMl3ZPDFoDi9s/zOltduA+G5esHYXkegRFNWdctH4F0GRVTI8+QSrdvLlZ1cSqQ/Qc9zzTC4rIxCuo2dWASUFXbnx86PcnT20LfeU5HHf8qOuQI+MKKDaNMnWXKRlxJJEBdMyJCRFsHD3biZ0ascNX37O9AH9aZ1WmChE9MzRuPOkNHhkK7EmsT701tGimpwrYSvxcY7rFi8lEI7g93qYWzKAYCzGMH9bql0x+l7iJhIR1EUFH24wKeml0TpL557iHrhkQcSKMnnF6sTrHygZQMiO8ODGfxII1+L3ZnJv/zN4YsvTANzf7w5kCSwnClJcA+LJVVO4e8QrZKb5j/lNZUkm05377zmB/wchSTI+T/z3ta34GFtTfRE5V8LrdvHktre5vNPpxGyJTN2NIyRu+bycXLfCtb1zeKu0ljM7Z5LljXP0cIXDiuUmfcdpeDwSilcwr2w3V/b0UxcL8eaOXUzuW8QNi5cTCEcAOKtta87v2JHPDlRTHjapisaYv34f5WGTc9rlMsWfjz1/e4LTl17fiaBX5rHhg3ArMttq6nh1+1ZKq6oAeH7YadSHJd7/yki4a/x6lE6dYRISFo+uDlMesvjq23gnRKFP5YkxLblx8ZIEn+8eVIyDw5Y/n5n4Tdzpfvqd88K/6xSlcDw0NEB4vCBJEo4TN/2OBsGOCRTXsbmgsAXI8eenkEIKv3ykst2fGoRN7JWdiMr4vL2oNIm9shNOUIjJsCVeLqvm1n65PHVKS27tl8vLZdUYdjy4S0CWx8eNi5cy4ZPPuHHxUrI8vqSyqOPI/G1RsnPA3xYZOM73p40sOcwobkuhNz4/nGjblFItej8XGJFqVjYUIiAuXLd66SwyT7sdV4tOyIqC6ThJhYj7+51FmvBwe5/2FOX4KA+bzF21n0u7FOFzOTw5ppAXxxZwS38vH+/dRUlha/6yo5rR43XSMuIsTMuQGD1e509bq5i6uIIz2h+dZb+pUxb6i7uSr5NXd+I9W4ZrdTJyFBacGuf98xur+OrbMHNWHkGTNe5fXcoFnywiZNnMWr0Bj+JKFDnKqgxuXR4gqsALH0XZsjfO00buC0dG4PB06QZ2BaPc8sUOrvvnDp74uoLfd+/Gm7uWMvPr97ixxyhydR93rPob2Vo6f9v7LvPLnuWMk8bxWOkn/OaLh3lw40Ju6X49PTO74vfkM7fXrezd9S5nnvwIHj3z33Z+/y/iu5zWPHncUXQqLw+9jPv7ncVb26sbxCLjAnwzlu2l0KswfUgmT53SglnDsjBsmLOimukrKxg8zpXE24FjXTy4/hDFBX4cERebnLP2a/LdWQmu3dQpC+27HH6lgcM0LDBv0nllbw0HQtHEYjAQjnDX8rVc2qUbGS6dNNXFCx9FeWphlFc+ixfP/rbIIGbBxEU7CJqClYe3c2vfdjw3ehBPjhhMti4xccUbBMK1Dces5d6vP+LGrldxS/fruWn5C/x26fPcvPJlxve4nQ7ZvagMBzDtY3fkU/j3ol4TcO2xY2whzWH8SacwefFefvvpdm74fHtCQLqs0uD5jVWc3yWTNhkqiuYkYu3hCoflX5ngAqGJ+ObBkm8wbcHvuncCJO4e1I8HSgZSlJ3Fwr37efubb3hmdBf+68yeaIpgZnE7Cr0aN3csxH42OX+xn91JuikzaemXnPfxhzy+cT3XF/WiZ07cVqGlJ73ZPMPvScPdJDY3Il40NpOuh/tXlyJEskZJtC6Qco/8CUDY8bOg+yTqdtkcWRXPZSUgXH3sGapeZ1F6d5i9fzH4JXZup5BCCsci1RnxE4Nki8SNvBGi0kSyTywoO0Lw1bfhxG5CI27p13BMJOau2Zh0Q5+7ZiMLRpY0OQbNql47J/BRYo7DR3v28NiITiiSjC0cXtu2k9/36HRC3yeFHw+ObSYWbY2I1AcQkkBW4gJhmizj96aTq3mZ1m08r3/Q6CGvcMeYjjxY+g1lVSHqYjbXfrEOv9fNXQO7sCTwLZd27crUxYe4o08LNqw0KR6hobklzKhgw0qTU/qksXBPHdnuo2JkuS652evELpC4Z43JHfkaN3x2MOnfy0MWVdFYgvNuVSUQjlBrGhT61KSkVxyP+w5MW7GM23oPYO6q/UkL1ruW7mZi/x68t38D96/7gEk9T+X2VW9TZdYyttUIBuYN4P71bxFosOsMRKq5b92bPDd0OrJk4zLryWx3NqXrnmfI0Bl4PKmd5n8VmnI6K68Xsl3IssV2A2cdfj+6NZXRGGUNLgLlYZPyiIktbD7Zu5crunVj0qJyykMW5SGLuaUV3Dg2l5N8OruCBg+UVVBWZXBT3xxccrygFXeTEQmuHY/D5EuoM9xEDMHaDSaD+niRvmOnFAhHUCSZYCyC0NKPy9XysMmdS75hYv9c/rDqdQD83kyeGnphohBx9Ji1FHgKuGXFs0kcvWf935hRdA3/VToPBZlgKIAia3jd2Qigzqgm5pi4fvjxjBSaQdSWmLPN4JprNXJcElUxwQvbTKbmy8xeeTApJh2oT45tEjBlcYBnR7Q6JtauX2nSro+LO3rG43Urn5cqI8oNi9YTCEcbYnZ3ni3dwtrDR7isawdkSWLOmq3k6BoT+7XFjUSsGU7Ltkiyyp2zdjW39e7L4xvXI3OsQ1FjnhGMHRubC30qVUY06fmBcARbSHQ842FkdyZOtJaaLQuRZRcp/LgwGsx53BoEtzk0NkKoNoQqHdLzj8YLxxIcfM9AOBAss6nbbpPRNbVMSSGFXzpSWcNPDEKWkHKTK/xSroaQT6xdTTmui0WjsrFILMoaEb+hN2n9lJ1mVa9l+ft3NbgVhbPat2Hyko1c8MkKJi/ZyFnt2+BWUirXPxfIiobnO63Z33V6yHL7eHjwGUzuMYZ3P0/2kH/3c4ube7ah0KtRFY0nqoFwlLlrtnN5t87UmfEFXbamsm+Xwz8XGnz0VpR/LjTYt8shW1Mp9Klk6UqC03WOaPY62VknqIwKbCGa5X/TJDYuLOjh1W3bmFackySyqig0y30hOQTCYTI0PZH0N6I8bJKhxWdgczUfHTPyefHk35KjZXHgyFrapbVOLPIaEYhU4wjBGxsfoMqopGzTKxw4sBjb/mnZIv7S0JTT7fvcxuv/sJM4u/ALm6u6npR4fiN3567ZzqVdu1BjOEkLpLIqg5u+Osj+mMmkZQHKquKLKIFoFJPH7/WiShZzhudT6FOpjDnNcriyRvD2u1E+/DjO/zxdJdLEKSF+LA8uWaZLlu+4XC2PxrsYysMmee4MHho8geeGX86knqehSS5GFnb+zjEz0WSlWY6m63ncMugRlq95iD+/O563Pr2C6uA+vg3u5P4vr+APn47n/i+v4NvgThyR6nr7V8KlQGVUMGmZwW8XR3l+e4xL+7hQUJnUN96J1oiXyr5lzrACCn0ql3bPYt6qw5SHLCRHajbW6qrEu59b3NarLY4QzFq1jUA4HjMbY/ZVPbpw18A+PLNpC7bj8MDQnlQZJq9u24t9nPzF/k7+EgiH6ZSZyW19enLICDbP30g9r27bxOxh+UmxefawfD7cuyfp+X6vB1mCP257lLuXX8Mftz1KZvE1iFRh7EeHURuPB0oUEJDeLn6udStejGiK+p02dgQKTnMhu6Hm6xP1tE8hhRR+jkhF6p8YTJcCV3ZK3NClXA2u7BR//ASgSA4zh7RIuonPHNIiYYelSBL+74hQxm0OjyYFsmpx8TgtSfX64nEasvr9bxCWENy3amtSQnPfqq1Yqfa7nw10TzbFpz6WWLw1VdJvhCRDlmbh92Q2u8tV6NG5a3BbXt26N/F4IBzFcRzyPDqFPpVq00q0ujciLUMiZNtMK87lz1t3MWVgBv85/iRIEyjXJ18nrhs648tQmXeKxmtbqpg2OJn/84YXsKnyUOLYr27byYyBfagyDBaUbmDKoDReH38ST4zOx5IjnHeKnMT9806RickGI/wtyda0xOhRIwq9GkEzRM+sltxcdCq3LH2fa758h+uXvEub3NEIK4L/O+4Yfk82QeMw68sX89yG++jS+7f4fH4UJWWL+K9EU06rel6znM3R47uqcb2TOHcD4SiKmK6idwAAIABJREFUJGPYzRe7opaT+PO04lye2rgD0xH4vV7mDhkCksOftn3BU2MKycpVUa/vfEysX73uaIKeliGR5VHI96qJeB3XfBiIJgsM28RRolw0NjlOnztG5anSfYnPn67pPL5pBdd/9R6Pb1pBlRnlxh6jEgUJvzeTe/udSk0k0CxHM7VMlFiU3d8uBqAuFKAqdIAnVk6iMhzvMKkMB3hi5STqjORiRgo/LLLcEg+cqvHQaJ3nTnczfZjOh9tj/PadKM+tUrihZ4dEQaIyGqPeDjF/dAHtM7Wj1rSRWLOxNmzEC8mFXh3TsRL37UYEwlFa+nw8W7qVLwOHmLx0Ndm6wtOj+nDP4O7U6xLG1R2SOG1c3YGQ/h3bTa8Xy3G4feUHPFz2T84dk+yu8atTZJ7cspZKI4qmGjw5ppD/HN+K+aMLkCWDK3t0TroeZgzsQ01kfxIXn1w9lYhIjRX92Gi0jrWDAkUHtcEVRXMgdDh5/Lhmg4Wsgbe1jPckmbqdNuJEWnFTSCGFnyVS/U8/MViywEjXka7siq6AYYNIV9FP0NpTkgQu1WbKwOyEW4ZLtROCQKosmFsygLuWr00SRVObvE/EtpA9Flee48ERIEtgyBEiNnzfiXbLEc0mNFZq8+xnA0mSycjpxIizX8FxzGOU9AHqjVq+jdTQ0pVLVlpy221WmoRLkVgROERZdTDx+OTendBkL8Gow/yRrXj/mxrOGJvJmk/jYoBpGRKjxuvYPosZKzZTVh1k4d4Az4zqR50Br+9UueK6bpzkgcN1goWrHeojJheP06k1bZ7fWMWt/XLJ0BWilkPEjnJam1bsrw/xZeAQVdG4u8UTJxcTNE2CpknYDmGLGJYQPLFlLVePGEi+24fHpVLnGMiSmxuKerOgdAt3De7M3FX7EiKHM4pb8dTm97m62whmff15QkMjEK7jjlWfsmDoGczpfyHTv36DQKQavyeb2f0u4O3SuUA8gdbcOYweMx+3O2WL+K9EU04bdhpZafYxnG3hc/HGGUXYQvDatngRbf6wAaiSSkufyuxhBcxYWpEQtJx3cgFB0+CpU/KpNWMs2LSNsuogE/t24tkRY6i3glSbNovLdzOxl83uepNPKtxcMqk7sYhDxJZQvAqRSLwrJi1DYuR4DeFyqA9ZTB/YB5csk+vW8aky24O7eeub3dzccxj3lS7iD6cNJ0/3ISRBIGpyU582RCyblj6Vp0oXJfFx2qpPuL3PcCb3OoXrug1Gk1Vw6snQ8o/h6Kx+E4hEDqB/Z+9CUT2JxV8jKsMBYk6qq+dE4AhBtRHCdGw0WSFb9yH/f4T7HCGQYxKff3lU8PHiUTpVEZMtlQ6PLbO5bvBJzF+/mxnFbXlm0yau6tEFhCsx8vDH0iNMH1fAyk+OxtqS03Q+WG2SlSYhSaApMn6vO+n+7fe62VNXR1lVDRDvpjwQqm8YwZQ5yeujJttF9NqOpMsSdY7AnamSJgnmDx3Bn7aUUmlEmT/0ZHTZzYsnX0KVEeLjw+u47Kz+yCgcDNdRI5vc1KsXQdPgP3eUckHHXty5fE0iV3ls2CDuHtQbgKhlk6OrfP7Nm0m/U2U4QOwEtbZS+OFhBAVpgFEDeu5RXksCovuPxlzHEgQ323jbKUiKhKeVTP1Oh2iFwONPCVmmkMIvGalixE8OEsIlUHNcOJKEIgQxBCfquGPYDo+u28Dl3TrjRscUBo+u28Gs4rhohCUcDtRV8MzIEmwRt68rrdxPtt4ycQxZkqgIw73LDiQS7nuH5lHg/f6fQ5akZhOaE5w6SeFHhiTJuL3H1zAIOzYz173FvX1+xzmjC3nvi1giUT5ntIsDkRCntS1gf32EymiMqT27Uuj2sq/a4cVNFlVRwd0js1BcFqdN0KmNOByKxnhs2yFO76Anihh+rxsFaJeextIDBmd2dPH3f5hJC8nXPzGYfHY+Nyw6wF1LKhJOMg+vX0eVYTB/+GBu6t2dinCIv+zYwNXd+2I6URTZwhaCl7d9zQ1FQ6k0Iry4cw039hjOHV9WHnWlGV7ABZ3b8/HevUzsX0iO7iZTUzgUPcItPceQraUlFn6NCITrEJLKu6VzmFF0DYXpHTgSOsB7ZXPZVb0JgFyvn3RfIVme/JSTxr8BjZzWhODS0x1e+/jo4u6isRoPrt/M4sAR/F43s4cUoUluwvUy4ToIWQKPT2H64BZIskTUcsjWZO5YtvmYWPdtfYh5X29gbskAcnUVvzcdGSjwuHHnqyz49Ch/T2rhcOopGtnpEt/UGczfdpjb+udx3+r1PD1iCDaC/9i6jt93601rXyFXdc+jMhqm0ohQEQvyHzu2c3Hn7sxeUZlUJMlwJdsoB8J1eFQXlZEKHltyaeLxB075e4KjXi2LsFnDwrIHuLRoEjGzPukYthUh1+tPKkjkev2oIhXcvy8cIfgmeIgpK99KuJo8WjyBjhn5xy1I1IUFr3+SLPi4cJHBZcM1pi82qAgJ2md6eGZMFw6FQ9zUuzu6IpOje5gz3MP0JXE9kwXfHGHab/IRtsSRWocPVpvURwQXjdURisUXu/cxt6QH0bCET1EJ2RZur+CRdZsSn8Xv9RA0DbyqC8uRcYTMs5uOcEb7dCK6TNCw+WhTNbcNyOPhdWU8WDKIXN3FkajE1MXlR22ah/XjhZ3LONnfnvkb1xIIH+Xa/KFjE4UIiBdAJi9dzYKRJVjCSri+lLQ9lyX73km8LtfrT+mX/MgQQmDWxXkqbHClg2hySkSlQAiBJEnUbbdxDEjrEH+C2x//f3ivjcefOo8ppPBLRqoY8RODEGBFJBZ/YiR2LIaN0xEn2LWtSBJVhsGdy1cnHms6hqHJMp0yC9kdDOJWFaKWTafMQjT5aNAXwsW9ywJHWztDFvcuO8Izpxxr7XY8qJLEjEHdmL16a0IEa8agbqgpy6afNYRwiEWqcWwTWdGQkJnc83w8LhWXZjFqpIRPVQlZNpYe44/rdlBlmDw3ui9SvYsvFposD0ZIy5CYPFbnsQ0m9y82uW4wZLlNbvj8IIU+lbnDC/jT5h1AfGH32PDeGLbCwfoYBT6JTK158TNJwC3908nUXEQsi3q7nrLq+G5elRFl1pqV3Na7N2uOlDPBDHHd0pcBGFnYhZt7jsYtK8wrHklN1GHeypqka2D6kgqmDEpjXNtWPFu6lbKqGp4bPYgbl/0nAA8NnoDfm55UkPB701EkiYt6TiJoVPHZjhcoaX0GtcYRIJ4439TnPrxoqULEvxmyJNEiW+LKc13EbIEqyzy0YQuLA/FzEwhHsW0Fl6mw7bOjcXnwWB1UiZv/GRdKfeOs1swbWsS0ZWWJWDdvaBFv7dyVcMB44uRBPDZkPKoM6ZoLxZ0slHrgsMPLHxtceq6LBzccZs6wAiJ23EmjPBJm1pqV/KFfP+piEUwnSoE7i6hl8kDxKEwbzmzbLlGIgDhfp31VwfzRJeyuq6K0pgKI8zFixYg5R0cqcr1+VFmj1jjCs6tuBaBDdi/O6XoNae5cZD2X9q1GsvvbxaT7/OR4/dzUdxZPr59JZTgQ53Dve3CLFH+/L6qNUKIQAXER0Skr3+I/RvyWXHdas69xnOZjXqYWv6cW+CR2BStpn+njusXLKcrO4uZevbhx6XZy3S6mDGxF6zQ3ugJ1tuCFr03O7OhiVIlGrSl4YZPJeUU249t1QAlpfP5pI+dVRp2lkefWgXg+cdfAXiwoW82NRf3J0l3YxxXOjmtU3bF8DU+cPJS7lhxK4uiMpYeYMqg7L25dyswBQ5m1dhmBcD1+bxptfBnN6ltZwuG8z+/F78nmwUG/o8DbLlEcy/X6uWnQw7hk/X9/klL4HyMaFDhNpnpVr5Sw+pS8oBtxTQl3lkLtRgtZB0+rePxQ0yRkHSIHU220KaTwS0eqGPETg+xILP0kmvCsrw8Kln5icPoE93/zymQoksSMgX2YvWZDorVxxsA+iWKELSSqjBgPrytL+vc07aj6dKMtWFOUh6wTGrFwhINbkfhD/y6JoodbkVIiZz9jCOEQqtrJpo8nE60LkNNuFO4hd/L4xjUEwnWMLGzP5F6nUh42qCfGgnW7E50NmuXi04VmEr9Xf2rw2zEad35pkK27aOGV+Ov4k1BkWHLwIDf06sTNvbtgC4eYYzN9SQW5usKUoQWELdHsWEhM2Ny5fEPCtWPBpq1APIHO1nVmDhxMocfL08PH8njpp/TMbsnVXYfTypdNRaSKFYe2cFbrIbTyZVAeSt4RLg9ZeBQXs9asZmKfIp7YUEau7sHvzSQQruWDfRt5YPA47lz1CYFwHX5vOg8OHscbm2axvnwRuV4/V/a7h43lS5la8gyKpKAgUfHhXTBu7r/pLKbQCEcIdtdVMXXFhwTCdbx16u8ShYhGtNR0Pl9oJPF21acGY34dX+wU+lRUGV7avI2JfduToWkETZOXNm/jzHatWbj3AIFwBAmZmKNwoN7kza213NY7v1n+5vsUnhzjxxExyiMGfq+HPLeH23r3pWN6Fo9s+ojxbbuxKLCBX7cbjuU4ZGteJGFTHgomffbykEVN1OKq7sVMWv4efm86M/uPIUfTeG/LW0C8EHFtv/twSS6u7Xcfz6+7h0w9jwk9buFP6+5JLPBuGfwoI/rfTuTwFpS6KuwNrzOpaAqSJxMRqSWy5q8oo6f/K0/XLwqmYzframI6xx8vkOTmY16tKSjwSdw90sWfdpQxObsYv9fD5d06M2vl3rgjTNhkylfbKfRqzB/ZhbooLD3gsPRAsrbCr4pkXJbKZ9/h/KKFJpN+1YtLunaghcfNjFWLKK0+jCzJPLp+LbMHj2jW/cKh0VEmgozSbF7R2lfApD5DKXBnsODkcfFxFElCJq5v1bQg4fd6EhsagUg1d6x+meeH3cTFPafg0zIJmbW8t+0FLu99x4mcjhR+YATLHSRB3GJVBsUNNDSOKRkScrWgcqONf4hMcLONr72C1NA2K0kSep5M+EBq1CaFFH7pSBUjfmIQAjweiZKTNdxuiWhUsH5NjBPVezQdh2dKtzKxTxEZmougGeOZ0q3MGtwwpuGQKFRAPEmYvWYDzzSx9pQlmk0sTmjEQoJXtu7gzHatcSNhOjFe2bqLKf2KTuwLpfCTQSxSnShEAKR3/w2TVn6U6ARYXL6bW3qazFpdekzLuiSkRHLbiPqgIEuT4p0OukzIilJlRMjRNTpk5jF1cXwX7eRWXu7qk8/DA/xUxyw+2VPNuPbpXDRW56+fJrfY20qUv59Rgi3AQdA+PZ0qw+DRYYOpiTrIeNgbNDgpXWdyz9OxhWBfqJL71r5PpRliRr8z0GQZlyw3ew3UmgaBcIRsXeOBkv6kO3U8P+wigtFqPC4PqgjzVMlpRGMR0t3ZvLHpftaXLwLis8wvrbuPKUOe5P2VM5lQPJualX/CClXGlUBT+Lei2ggnChFxiMRoWVF2Bpd3a4uK3CxvEQ1ilYPzEDhURpMXdZVRg4yGAq/f60GVZf5j8w7u6NGXazt6CUdsLjtD4y8fmUljTdOWBag0bGYMySVXd/PH4ScTNGLokoeIZXNr0WiqzSjntR3F4Uh93N0lUkeeJ+u4Voids7J5+9SLkXDQFZWlpX/klNZnMb7jpUTNWhZveJLzi2ezeMOT/K5oCi0yOvLw8huTRQFXTWH6wGeoWPwYLl8uLUtuYu9nszDrAmjpfjqe9RiqN6V38n2hyUqiiNmIRleT40JxuHCszhtNYt7F43RUt+ChsSouxeQPfQZRFwszr2QApi016/wjIxFzbB4fpeNTJGpMwUubY1RFBZoCkmie8yHTwpQsXJLM1d2K8SgaOZpGjtvNn7asZ87w3kxfUpE01vbKlm0N382Dcpy8QpIFHkWlLmagyAoSEpZwULCZW9Kfu5Z/fXTjZFBPZOnohkYgUo3lODy1amrS572k55QTPicp/HAIljuJAWPVEy8wIMU5pWWCUw11m208PgnHhLTOybzX8iSCmxwcSyCrqW7aFFL4pSJVjPiJQVEdSoZqlL1vEK0VuDMlSs7WUVSHEzE/USSJvrk5tE3LRJFksjWHvrk5ic4I5zjWnk6TqoeqWEwvzmXOyqPzx9OLc1EVC/h+cyOaDFf16MydTYQyHygZgJZac/2sIBwB9SGwbWw5mihEAEju7GM0EoJmmBmDujB79fYm4zldQI63uDdNctMyJEKW4O6RGu/uCtArX+OJDaUsGHEyt6+MjwkV5ejc1C6Pda8evS4uOyeb+zdUkONRmHpOPo4DsizYXHOY1lom+0MmOW4Vt6Lwu+7duV6BipDgka9sKkKCAp+HmaM0/rR1HV8GKhrajk/nmc0f8+Y3X3NNt9G8WLqUacUDEqMacZeEHBaUbsDv9ZDv0Xhz00wuLZqEUbOFD9fNo6bJDH2W18+FI55KFCIaURkOEDKqCUWPYIcqqd+/mran3YusnlgHVAr/e5iOk8TfRu6+sf0gv+nchrmr9jJrgKdZ3sqy4Nb+mby5I8DNfVtyY68ezF69rQnne+AIB7/Xw7ySAQjhcHObnmx6LZbgcefzXIwdI+GWVdJ1mXtWllNWFS9qvLG1jquK8pmxyKAiBAU+D3ecLJOuS9y7cn2S+PBrOzaQ4dKZO3wAdzVZDE4rzuHNnVu5SHXRypfFf73/ay4a/xZ7Dq1k/Z6jM/ZZXj+SJBOKHuGtpVO5bPQLzQpU2maEjqfM5pt/zuDg8qdpM/pO9Kw2yC4vLm9OaszoBJCt+3ikeAJTm2hGPFI8gWzdd9zXCCTe21/NxWdm4ZIlYo7gnd3VnN81A7ccQUKwO1TPrLUrOKdNZ8a37c5zY7pTbcR4dUuAsqoQhV4NVRb4LZXt75l828DFO8/ViaUJ3JrD3mqzWc77NIUP9gXIOimXp5d5G2Kpw8xRQ/jkQBlpLptHRxUgI+EgECLG7rq6RPdllVnPtOJs5q2sbsLRTJ7Y9AV39h1FrWlwsN7ArWhE7bg4cL5b49a+7ch0eamNhflw3xqu7jaCt0fPxBY27+9bBiR3W+R6/ShSykL8x0RduYNPA6SGEQ1IyJ+pikTUJZD3OgQOm7iyJNyFyQUHPVdGODbRCgdvq9S5TCGFXypSxYifGmwpUYiAuC1S2fsGA644sdlHtyJzdrsOHKkT+FSJkAVnt+uAuyGeN1p7frf1sam1pxCCTLfNo6PykZFxcLCFiTgBgbKwFWNJ+XaeGlGckOH8eP9mTm/dldT+2c8DwhGI8sPE/vQ3RHUQ6frxuNP9iYKEiFYfo5FgI3imdB0T+/agbVoGObIbnPjibcxZR1veGx0zDogoL20J8PsiPyErQo6uExMisXt2W1Eeu96JJV0Xu96LcfM5uZia4JF1h/hdURb/OLCbCzt14EC9zXs7Q0zoksn0VXGhtEdGtOSpFYKKUPwYFSHBrEUm1xZ34MtABYFwhLlryrhr4CnkutOpMy3Gt+nMR/tLuaO4C4WeDA6E6llQuoEqw+DugZ2ImvtZX76IS3pOIjejPRcOe5Q3lk6hJhwgy+vnnEH3UBepaFboz7IiXFjyEB5bos3oO3F581A939enJoUfCposJ/HXdBw+3ruHu3r3Jxh1WDC8OzHZZsxZrmTenqXz7NZ9rD5Ux5yhHTDtGLNXbyNH1/hD7+5kuzRCMYt22RpPjxjCV4E9nJ7fhfXvJvN4xzsxss+RcHwO96w6lChEAJzZPpN7FxlJnH3wK4ebSywC4QhFOVlc3rUTpu1wY9FA7l/7FW/uWsv8Uf2pMSyqjGi8ENE5nw82z+S6gbMBWL/5VS4Y+jBvLvtDgqsXDH0EOWYyoXgOb62cTtSsbZa3rrQs3JKPrhe8jLBjyIqG6s1OFSH+RxBossQdvU/BrepELQNNlqDhbukIh7BRjWWbqIqGV89GlixKWrm59atvkzYJNCIYMQdH9mJYBgPz/PTJbcdN/wwcXfQPbsOKQBUXti/Ea8mseSc519j5rsFJEyQOWQ7PlFVz59iCJHej0Wfp/HVfKb9q34M7/2EeE0sfG9eT6xevOqYj7smR/dlXV0e2rrGgbCNV0ShTBvWhdVoGgXANz2z+jNKaCv4gRlJnunh0dZDyUH2DJXM6kq3Rw9caS1isq9zF2W37c/1XnyR0JR4sHkWG6uLmkqfQFC+mHabQU4hXOX5RJ4UfHofDFu/vClJ6OIoQcNq+DLqoEgIwtQYnmIYwIQkws8FTBY4B+SPVhNtbI7QG941oIFWMSCGFXzJSxYifGmwpkRw0IlorwDmxFjXLkTFDEosWx6ipjzW0/6pYrvixVUkwr2QA05p0LMwrGYAqNbFaEoJaM8b9q49aat09qA8+9fvfFFRZZmvNETpmHiHD5SYYi7K15ghnte1+Qt8nhR8R9aFEIQKAj76m54QHKF10J9G6ANbBlTxUfDG3r/w4oZGQo3vIcbtp6fWRZnj4pMkibuh4F73PUCjwqFSbMQ6IEKoicXPfVvx5yx7WHq5hxqAeqJJEoU8lV1c4yaOxvza5kydaK+iQrnOQek7vaLP0UBkTOhVhC5k5Kyu4tV8u81YdThQ0PKpCRSiWdIyKkCBTO1roy3HrpLnSmbLk6HURF2lbBcC9A0dwa59uZGnwzua5TOhxM30LR6JICnXVu9i6/W3O7T0Ft7cFbncOH697hHqjiqv73sOL6+9Lmr3Pc+ejORKOFUXzFaQWdD8SsnUvjww5MzGq4VVUrmzdl0/fMhOcHTjWxXuHqrng11mEDBF3etl6iFv7t+LUtiFe3rKb3/doy8AW2Zx/UjsWfuE0tNCrXDRW5cntm7ikawdkp/n43j5dJ6o7VEbt73w2tVnOelQXRTlZXN+zG3Ob6ALdNXAQC8pWc+/az5k9eCQytUxoL/hg80xqzSPIkkp+bi++PbSKQUVXcsWIZ+LLXuHgln2ARbbWkl/1m4bbncPNgx7iqdW3J3g7sXg+6b58ZElGI/1ffGZ++ag26rllxXMEIkeFRP2ebF4+eSLZehqHanfy1yWTEgWji4bPR7hO4unS9dzSvyuZmk6tafDh3m/4TcfO3LX0MOWhqgaHiv68UpYsvvvW9iBTu7Xk878ZjD5Nb5aLkiNRbcWoNGweKKvg6lNyyNZchGybg0Q5tXVHZOREIaIRFSGBLWjWylsC/D4Pf9m+kfFt25Ch6QTNCPUxwc3L4rolfm86jnAxa/lR0excXYGoi5eajDFdPK6Yx3d8mXDcCITruWPlIp4bMY57Sp8nEDmE35PPnL5T8KlpuMn4Qc/Z/1UIISAaBbc7qWhQf9hhy6cGB2MxntUqqZMcTkp3kR1RUEyJSEiQicTmqMA4KOiRDu0AHNDSJaolQb+xOor72BzXlSEhuVIilimk8EtHqhjxE4MkgzszOWF1Z8Z9v0/oOLbCe18k23+990WM358TX3hZCGqi9SwYeTKWA6oMe4KHyNKzmhxF5v7VyboS96/ewIImuhL/HXRZ4apuQ7hzxTIC4TB+r5cHhgxF///NxKbw04JtIzJ8cP5QhE9DssDjzqDf6U8iFAVH1diz9588PWw8loBvQ7VICK7q1o9QSLD+02QRtGUfxGh3CkxfXc6t/TO5c+lOAAq9GhP7tWTh3nJmr97Gw8N6MHd4AXVhQWWd0+x1cdCopl6N8sG+DVzQsQ+HIiFy9Qxy3QrtMzVmDMknaNi8tqWGoGlR4JOSkugCn0SteTR5vqp7Z+5qKNABDd0Sm5jYpzfzN61kf6gWj2zyzuanOK3jRby1+UnO7XoNuuzGldmOAwcWc+DAYgBy83oxdMBN/H3NfXy18Wmu7jWN7PQ26KqXDD0nZTv3I6OpI0xrzc1zw8+jIlqH35XFJ+8ki6yu+TTGoFO8XP/lt9zaL5e7lsVdKS7pnkHYsvkycIQdtfU8PWwA//mBlRR3//qpybkjOnDvqvW8OnxkszwORGvJ1DzcU9KC+5YfTuxkZ7nlZjkbsUwu79opUYiAY7kqiRgvr5uYKCRc2e8eXtv0EOcVTyPXlYNkhFAkgWVF0Dy5xEKVrFz0B/qOuI8vP4u7aeTm9eL63lNw6Zmk+1qS5S1I8fYHhOnYSYUIiOsfmI5N2KhOFCIAasIB/rpkEpeMeSPulLViZeI1jw0raShEJDtU3NovN8nZ4tdtMxPdPdGoaJaLVTGLD/YdYfawk5ixtIJJywIJXZRnN+yjMhpjweiiZnkpS0f1VhoRt/KWeKZsNYsD+3l/386Gx9O4ve9gemYVcFX3wbT2ZWJ/RzT7991zEjbREL+eXv/E5NIxfVkc2Hf0NwvXYzuCQORQw294iOnrH+XFkgf+h2cmhaZwKo8Qe/lZRPlBpNbt0C6/Cik7FzsmWPNGhPo6gSpkrvDmkHOOTLqtUP5pg6WnEAgk0rJsMBQ2VseLEX8/4hDKgaIwOKpAaca+XpIltGyJaCBVjEghhV8yUsWInxgc2aHHWTqbFx6dje9xlo4jn6CCpaBZ+y8aHnLLCjl6XlIL57zhBbibvI8tnGZ1JewTUNOM2iJRiIi/PsydK5bx7IjRJ/Z9UvjRIFwqsV/3ofTLu4jWBXCn++k59hFk20ExHERGLlpeR94unc2YjpfR0tsGVdKZtnQ7Dw3sTH0wOZGoDwqyNRflISsh7gdxUbXGvwfCUTyqxhPrdzCpZ3fe/TzGeWfrbGuipdJ3gk5dmkW65GZK79MIxWL4VBcuGa7vk8ukRU3bk1vwjz31TB2WzSNLYw1zzhL3jNJ4cWsZEB9TauXzNcv5bN3Dg8WjyNFdRMxyhrc5i7c3P82u6k3sD25n+rA/oTkOPp+fUKhB8O/IJnaVvc4VJz+JYQTx+QpI87RAllNh98fGdx1hWvW5gvTel5PvTgOreZHVBGf1eCG10KdSbcSSOKtJCjX1yZ0MNfWCLJdOIBwhrMToO0Fj/Vtmgsd9JmjE0hUkSSJdc5g6MA+3KhO1HAzb4vbhLh5acpSzd54so6gQc7TjcnW5bC0kAAAgAElEQVTOwCFs2/s2dwx7nproYYJGVRJfb+sxjR0LJyZe1/PMJ1i3/AEi9QFiZm2Cx5VHNrH886n4fH7OGP/nVCHiB4YmK4ws6MnZrUeQ4UonGKvj/f1foskKlh1N0p+BeEFCJ8JDQwdx+7LViY6Y1r40ykM1Sc8tD1lku5OL/nm6Smkwzs/1a2IM+U6u0eEchaf2HuQ3XVrw9jd7eHx0e45ELIJmjGc37aOsKgSAkGJMHirz2DInwcvJQ2WEFDuulfflXXqyvbY6abQiV/dwR7/R3L7iCwLhet4Ze3GSuGWWpjZ7PbX0ZrJw3IWYQiADXwV2H8PNQOTQCeUqKTQPYduYzz2JqN6BkCvh251En9yLe+rDbNkgY9TCf/mrGZ2ehn+7RuQL+LZekBuBmAJuScKRBM95g7i1bLrGKUQHB5a54qO7j643mdhXx9OMSKWWIxPaYyOEOGaMI4UUUvhlIJUV/8QgkNiw0aTrOA3dLWFEBRs2mgwe/f0EIxshyzRr/9U4r2fYCtOWBJJ2UqYtqeCZU/yJ5ysSx9GV+P43eEs45OpubuvdL2F39+q2Ldgpa8+fDWJSJFGIAIjWBSj9dCpdTr4TVXZjS/DchvgIQrusnvTxd0J1VOYO6kymppKWETtGBK3abNj51RWKcn2UVcZF1YJmPPGM76ZBpWHi4FAfEbyz1uSUMzR8uoRhCUgXVIZNdNnH9KVHCw/zR/mZszLZx37eqsPxRZ7L5tFxGjFHcKA+yJu7SjmvQxtu6t2NinCIikh9s5zP93iIGnsIRxzu++q3Sb9PZTiA5Ri4ZY3hw2exZMlMQqEAPp+foqLL2LT4PmoOl3LahQtThYifCJo6wqTl98TV41Iq66GF7kWSaVa4r5GzQcOm0KcyY0gLXt92kDPbx7vJ/F43Nk6zcbcmFsXv9WDhIGUY9LvcRcgw8ekalcJi6j8reGSkn6mLK45xGZg5JJ95p7moMw2OROuZX7YGgDmDRx+Xq7ZVy/LAV5yU34+5S69J+u6V4QC4PEmPKaoHtyeXXsVTcHsLGDHqIb5cdHuCx6PHzMftTqn8/NDI1Hxc2/li7lpyqEEjwcXc4ReTqWlEzRhZXv8xgriKLNMxM50XxwwjZjtIwsSIHGrWoSLHrSQeL/SppLulBLcPVzisWG4y4EwNX5aEiU0lMab2b823QZPz27TB5UjIOGRoCpd3L+TVreVURmJISLzxzXauLW5NpkujNmbyxjf7ublPB7J0NcnKO1t3ATaGHeH2vgPI0Dxkam6e3LSU8W17MH/j2sTIhSMcphfnJ+J3yLKbvZ721ZmYcpTJS9fj97qZN7QIj5JcePF78nGl4u3/GtY/PkHUlCLUPaCmQcxEhFew/7lZbLSnYemCksIMgtUqaSqklYOug9uGfV7obsaLEXnhNAZXb+O0umpcmpv8+raMycgmcgiqq2HWFpNZRRou+bsilhJ1WyFWI3C5DKylO3AOVCFleVGHdkb2ZzX/wVNIIYWfDVKR+icGodr0GaLxRZMZ+9Fn6QjVBr7/aENMsjl3jIt3P48lZi3PHeMiJsWPY32nHRLif7ea1AgUGWYM6sXs1ZuaWGr1QjmBzTFNlrmxZ9+EjWhcUbsvLjm1w/ZzgXBiSe4ZEC9IKKqHvRtfwz98ckLkbmibi6iqlXnr8/iMb/e2FqeN11n0gZE0f//8riNMG5zHgo0HuL5XK97cXsGFXfN5ZuNO/F43c0uKCBoxpvbrTF3U5KozPVQGBZ+tjVEfEVw8TqPSChOyJF7fUcPEfi3I0FSCpkXUcprltt/nYu7KQ8wsacEtS/9BIBymZ3YOpmNTY5i08Hh5f882HigZcIz7i21V8PSa25ky5En6Fo5iSJtf49WyCZvVrNj3NxRZQ1gWLtlNSfE0FNWDbUVQZR0J8KT5keUTKyim8K+DI2zaDZuMomcipbWlqt7Lx59DTb1J97YyY8frfNEMZ2cPK0CSHKYMzEZXHX5XVMCjX29PLIhicowrz9SJRKA+KlizPcbogRqHRZQ5Q/rjCBtDCITLBlWmxrZ5bkM1E/u1QJMUJvZrwV82VyVELMtDFnkelbd3b6B3bgEZus4VXXrzwb4dyJLNvJL+TGtieXjXwJ48tnExE3sN4fTBszGi5c2KUCrfrSdLMt0H3sK6/8feecfHUV39+zkzs7NNXbJkuRv3hruNcacT8qZBXvKmQUj50RISSgKE0HEIJeAQahIISQiE9FASIAFscG+4F2zjLhd1afvM3N8fu15JtgxWMJZk7uPPfry6e3f2zOx37tw9c865b91KrLGCsl7TOePMRxDDxLKCBAK6nslHQV1CZRwRTY7TG9/ezxNndqcwUMgXpjxwWM2IdBFLochvp9OMcHFDAe6emsP1b+1vVtSyhF+v38o148ronhOiKp6gURJMOsdiwb88GusVsZgibrvcvGwra6sjTOtWwLcH9+Hfr5vkBIUzxhr0yguxKxbn5fequOzk7hT6TRwvxecHdGPW0vXZCIgbxw3EMuDfO3Yws2cvTDHwGX7m7tnKtG69yfH5+eqcp7hnwgXctORVKqIN/F//0VlHBEBtMsVjK+v5zuhi8vwmylOHLd184Zl+frelinP6pR1qFdE4N8xfy6MzRlEeLM3WjLh15NVIK6H/mqNHuS7OnL+hjO14ud1xeozASPmJbFnBXeHP8rkDFtvyFFXbhNIU1NsQVFCSAGUp7O5RfO+GUEY9d25cQEEqSpXtx7IcBsW3snn9AGLWcGYEDR6vVzyx1eGK/r4WNtjF6XEnvmwv7mtvQSwJBSFYG8d9exO+/52ANWlAexwejUZzjNDOiI6GZ+ApxaSZNpZPcFIqvdym17aJoAf86t1KPj01nwLbR23S4VfvVvLdscVA2tHQ2p2U5o6GpOfy8Jq5XDVqHHm+IPWpGA+vmcsdE85sgx2SdURAOoz4zqUreXTG0ded0LQvhmm3WD0DoKjPDBI53SmafD0J5TKq6wzqE1UYrs0Lrzfl+K7f7gFJzvqsjU8EMWF/Ksm5JwWzYb/v1kaZPWMA+2MRrhjZl0K/zYtbK7igf0/MqMWbLydprI+Tkyecf54fCbk0egkeW7ORS4YM5X8H5HH//BT7IinKwsKPpltM7R5qkSvdNWyxvT5JVdzFFLKOiEuHj2TW0lXNlkgcw4qq1Tw4dSwRJ0nYsgmaip2126iKViBKOHvwd7luydNUxGooDxZy77ir2LLuD5x00jm8u/JX7NsxJ/u5wZxyTj71eoKhUvxBfWe5I6CUR9SJUmvnYZghSsjjhdedVjUbSboEbQOxFZ/qH+b+5e9lQ9W7hmwePW0gt58yhHfr6ikN2KTqLf7dzIlx5nk2Ekpx6xsbufvUYayvrmBkSXfSPl8h7rj874CSjH7jlIWFa04t47FV+1hbnciOyWf27J+tZXKw2PAbe95hevlIrhrVLzs+P7r2LdbU7uMLA4Zx64rfMGv0hXxv4kM8sOjbTcVTx99LjpFLj5FfoaDrSOxAIb7cMt5+6ZvEGtPn+L4dc6iv3sTU835FMFjcLt/Tx4GUp1p1nKY8hSEGpfn9+cYZvzlkNQ3jsDSj4j7T6TP1BmafVgrKZEdDhJe372RKt3TKz+5IBNuEq9/eyKMzRjHk3ASFvgAhn4+frNqWXe7z2pF9ePqFJDlB4bzxNgtea9Ly/zurJ49v3MmFg0oI+0wW7t3LVaP6ZiMe/7h5K18a1JcRXUq5+u3FLZadtQ2DsBXk8clfocAO8r0RU8iz/RTYQcpDOVmHRGU8QlXc5ca392WPx1Nnd+fLn/TTEIfquOKXa5J8Zmghnmoa3yuicRyluGbYt7LpLg9teIq7Rl93fL7IExR3/nyUt5lYQNgR2kN9424cMfhj/58yvD5ThFwlKE8GMG3I6eKxSaqpqYuxJLiPLnW9OQODPN88GpXLU32nsTEnj+uWKCJ5q+hf/S4FgUbeS03k9HKL1/a5jC4wOLWk6cabXSTkOLuxXlgCBUGsz47FKM5BxZI4r64h9exCsC2ssX3b6ShpNJoPi3ZGdDDENZjzUvywEOFzLgi0bTu4XDg4jzsXNhVDu+mUEiQzDTbF5eZJJdy+oDL7+s2TSjClqZq7gVAcCIEyABOUQXEghNGGuw2u5zGupISLBw7Bh0kKl19vWo/r6TSNzoIvWMjJ5/2cA417UL4QNkKj3YVvLvwzFdE6ykP53DvhOgrtIDjGYbVK1m/3OOMU2O024jrCz1bs5itDyrliZC/8JuRYNqYyKAtYPL1hHZ8f0IfTepZjpizefLFlIcE3Xkow83M+vjdvFVeN6kvA8HHH/FSLJebumJPkgXO6cMFJKcKWScRxCQXgN+tqmTWlDMThiemnk2f7eHT1hhaOsqfWbeaKk0ejFBTafmqS1eRYOVhWAddO/T3Kl88vVv81W3SuIlbDdUt/w72DZzLnjWuYOP6aFs6IWGMFufl9CeWW6zvL7YynPGoSdTieQ7Xn4wdrFlERreOFGdceUbMS9NgSiZDn+nhybVq3ebYvq1vXNbAM2B+JIbklzHmppV7ffCnJmRfYVETjXD9/LY/MGElNMsb3F77Bg6eehW0EMo6IJv3ePz/F/5tQxOwVB5g1pYyA6R5WVPWGBcu4f8poKqJ1PLB6botldctDuRTaYW4d/UXq3AQldi7fHHoNgUARQV8ea5c9hD3gfLoNPZ9VL15GvKGCUZ/5VdYRcZBYYwVKp9N9pFh4rd4UsDLXaUMMcgItnUGeUlTHGmh0Dcqm3ETVskcpHfRJGl2XKxb8kbvGncev1m3j0hH9mbV4O3ujSbqGbGZN7keR3ybhenxj/msAfKn/IK4dO4Tvje6L65GtNfU/k5ocEXCwiKvL+WeUAR7Xz1/DQ9NH8u25C5pFPI4k5Xm8VxvhkWnT8TJLOb+1ZydDi3O4ZO7zlIdy+cmEc3hp+3rm7N3G9K59eGDS6VTEogRNC0OEu6aU8sO3myI88v0Wu6sVoUw9geoY3DcvxXcnN42n5aEAlgjXLr2zqS1YiiV6ivthcN78K3G7ji3FELEBFeA/1mxKUkPomkjhGHF8Xpigby/zuyRYrSqJK0HCAfzOAE5qzCXXnItBiu+NVDRY1ZzcmNbzylBvNhWGOX3fBnyb3iJ38FQ2Rkwe3ZJiSJ5BoZ3+vs21m+iaXEYqWEj4gpFIIB05IUEb67yROH9fTurZhRg9ijDK9NLYGk1nRI/UHQ1Fq8XTaGMdJkOEgCktiqEFTOFgOp6nFJaR4ppxeQQti5jjYBkplGoKJbdE+MbgaVz/9lb2RvfTNWRz95RpLZb//CCClsVFfYfz7EuJ7BKjF501nKCV+uA3azoECthteFy9Mb1s2uzxs7hnyV+piNYxvKAbXx04BbABH2KoVnN8tzQ08rftO7huzCAuP7kXdy2qZFxpkM/1L+aGfyeaFZQcTpegw4GISSTeeiFBQwkV0TiFfj8RxzlsibmigJCMCm/OUVnNfeEsm2vHFVOfinH5nKXNwtpHUpVIsra6lmGFBXx54CC+++bW7AT+9km9qU+5/Oa9d5izbw3lwUJ+NOpCqpKNrKnZDqQdEnaolEikAjtQ1MKWYE45phXQjoh2xlMemxu2c/WS27hm6BU8sHoxxXaY7w0/+4j1dbY0NPKrTVv4yuBeFAdD76vbW2f0wvCOrFdI3711FdlifQdiUfIsX6tLJPbLD/Dz07oh4uJ4qkVdiE/26smXBvXHJybdQiF+fuqnuXL+37PL6t4z8VweXv+PrF7vHf81nFgDr829lvNP/wW7ds5hxPBLSMaqstFOyVgNwZzyFg6JYE45hqlTiz5KxIhw4ylhZi2MZH9833hKGDEigP+w/p5SbKmvyi5DWx7K5cen3oRtOtQmo1REG6iMR/j6sL5ZRwSkiwPfOG8Ls2cMxTJgeGERRYEA/9NnELvqhfvmpbV8z0w/BTlCyN+6lktsHzuSjVRE49QnU8yeOhFThH2xRvwm5PvC5JnFXPtK8zG9F0XBJMMLyvjqwAkkXJPLh02jKh6jKh6jPpXi3hUrsqttPTB5KrNPK8XzhKCZHstfn9uUpnHFDD8Pv5Mk15f+UXowRco2VYs0jXvH/pCgrhnxX+PVN+BEVrGrFBpsiEg+i42HMbxe7DO3kuv0pcHnY2nOblbk1KfDcQlheha20w1ThTmt+h18Us1OGcrWnKUobwWrQrl40pU8J5/f919BYWoco6uXYb36Bl+bdCo/rgzyyOYUNw4wMN5agbH6XWKhruzPGc+AQMtlY8Uysc4eQeq5hSSffgv/NZ9A2pJHrNFoOgT6rO1oZIqnNScnT9r8TbnK4Om1dSTd9IQi6SqeXluHq9IbUgi/Xb+DnESK0oRDTiLFb9fvwGsW9eDhyzgimiY017+9FQ/f4R94JBxfNt8TDi51lwCnDdvQtCs1iTquXnJ7dtm0oBnKOiIuH3oWs1du4J7lK6iMJ9kZq+cLZ9kU5KR1VJAjfHKmwd+37+TCgd3ZE41y16J0NM7/DS7i9jmJFneFb3szQdyxuO3NJFUJ1eq54IlHeShAWTBAjs+iLNyyz9dObk1zSQzP4Jp5aUfEsMICrho5DNswuWncKIYVFvCdk4fz+w37uG1Yd/50an9uG9adZ9bvJ5qCK4Z8iuEFvamI1XDHO3/gov6nZT+vPFiI3xckHC4nECwmmJMuAhvMKWfiGT/V6RkdgLSGb6Mitp88Xz7Fdjir3V9sfOcwzX7hLJu/b9/J2up6Zr+zGdeT99XtrW8mjjx2Z5oO3r09GJL+2Lpl5NpmC/0OLRYemSp0SSbITTgoVwCDaeVl3D1pHL87YxqfH9Cfq+du4fMvr+Gy1zcRSVncf8p5PDb1M3x/5HSK/EGqEulIiYpYDdcteYqibqdw5qQfk0ykV8qw/XnYoVKGn30feaXD2bni14yZcrPW7nEm7iX42cZZXDmunofO8HPluHp+tnEWCS/Rav+aRDTriACoiDZww8oFJO0C3EQN5aFcfrNpMd3Dgex1+yB7o0kqY0muePMdvj96IlefPJ69jSq7uhDAU6tSfGqmn4TT+tibH7T47YbtTCsvIWha1CZcTDH5+Zql3L9yET4JcNubh4/prmdz2dCZzF5ey6X/eY+r57zHZUNncvmwU7l1yeIWq219b95bGOKyN1aDcoVnX02QE4RvniZcMkWRG09wxVgfhX4ffzp3Ig9PH8nKyp0kPY8nTvkpf5/xDE+c8lM27Z1Dwo2i+e9w/vE8deEaKoNQZwSZbzyIq3qwMriXPrFiBGF5bhXLcyvxJAZKYae6EEj1R5SPfG81Y+q2EVVlVBrliOqGIflU+jeSMBRB1ybsjOPtYlhbMAmzvpFxr77KrL0rGLx6FcnfvISx+l28gb2I9B9NstGHmzzcTskJYM0YgtpVgzt3w/E/UBqN5kOj3cYdjLjhccrZfha+0pSrecrZfuKGIq8N2xHggoH5/HhxU5rGDRO6ZF0NBnBD9x74n1yFqo5RXBTkhktOpvkUyPFodULjtCFy1/Ok1SVGPU8XluosJLxk1hExPH8Qhf48fjn1K+T6crh63jwqolFuGjuBmKO4c8lGivw2l80YQK+cEJYJ1U4DV43qxz93bOLsnkPZG6kGwDSk1bvCnpduf3ptiqvP8rPk1aZzYeI5JjUqyU+njKA+6fHLNbu5+tSe/HS+m70T1yP38FSR2kaF8iTriLh0+BBmLd3UrPjaEMqDAb7fvZjQU03nxPe/djKOP0RFoorLh/wPj6x/gTW12ym0c4C0I+KOkZ/D50SZPuM+fGaAU6bfjRHIxbT8BMKlOiqiA5D0UhTbhVwz9AqK/AXcMubTfDej3bN796HBjDBjhhAyLaKuQ9L2+N7o/nxlSFeK/GHirkuxP11g0mcYrerWRTHpTH+LPPtJZ/pxRGXv3oq4LXLkG1NJrp1sc988h+IA3D4kReDJFbjVMayiIMGvjaK+KMBlw4dw9duruWrkAGav2NPCQXzDvC08ctpAdkUa+M3Gpdwy7nSuHX4+9635M2tqt1MRq6E2XkNZl+HU7VvDpMm3sGzpgwwfdCGb59/P4Ok3s3Xxw+xZ/RyTz3oIDBPTF8IfLNLa/YjxiUFVspprl/8g25ZOLzj8uHtKEXVSLVJyIO2QSDpJSsJF3DPhLL6/+FX2xerpGrJbXL8PrlaUThlaw+ypowlaJvsiTVGK66s8HlqR5JZpPmYcUnh4+nk29SQoDth8behJXD13SzaC7KaJp/LyjnU4Hq2fGwpmLd7dQrezFu/mZzP6Z1bbGkOe7ac+meC3G9exNxpl1vJl/OLUc8gJwpdOTuF7egWqOkaoKEjZt8ZQLyGSro+UchlbWo6BsKUhQtC0iblJhpSdhyVHX/Rb05LE+hfYXQr1po+Fxn1Y7kmsDtbgSoyhkTLihsec/APYTimWV4ChgihcUtZO4tYWbllbDwj7GUrKBFHpa6aQIGU4NBiK4lQxVbZQ4y/i313PoDS5mHF7djDIddkcLqJ00kByuxVh709POhM1JqEy9zBbpV8p0ruE1EsrMUb1xigMH89DpdFoPiSdxhkhIucAs0kvKfFLpdTd7WzSR4JSwit7UnzhkzZ+pUiI8Nz2FJ/Kb1skgUKyjghoWt7w4dO7AVCQBC/jiABQ1TH8T64iePVEyIzjhkirExqjDWs9G6IY3NtgzCAfQb8QSyiWb0xhtCHVQ9O++FR6glxsF3LF4Mv57oJ0rYhfTr0ke0erNBjmqrmrqIjGqYjGuXL+MspDAR6ZMQqfaWIIfKrPQFxPsjnSrpd2HjSfvE7uYVDieDwzw8eBJPx1W4ppp9kUB4TcgOLeNeu5anR/9kai3LEoPbmtjqe46/T+NCQVNQkHxGtVc2Kklz78yuD+WUcEpMPnZy3dxHOnjkI91fKcCD21Crl6Iu+5Kf64dTk3j/oSDakYXQK5PDv1ckK+MHNX3Evf0dexY+0f6NZ7OuHcHlT95VpKPzlL/5jrIAQMP98eciW3L/8XFdHXjqjdgxzUbkkgBFjkWMJlI8u4b16Ky8Z7Wd0OLRa+Nciiiw3hlGLxLoeRM2xCfiGaUMxdm+TcKTYPTB2BUg6RlMM9p8zk+wvf4NKh47l+3lbGl+Yy+8xe5DkpvAdWtNBf4Kl32Pv1MVTbLhXROHm2r1UHccpVzH5nCzeNn0bMccjzhbll1JfZFtnHizsWknKjpJSfkrKTmTfneiorVzNyxCXEGyrYMOd2Bk69HjtQRO2Lt+I1VlH+lae1do8DIfFx79gfct2yu1qkF4Tk8Ot9TSLCjsZqykO5VEQbGF5YxlcHjqHQH8QO5pDrD2LHa7hv+DAKc0P8eHI/bpi3pUXNiD9v3gGkxzzLMIg5bosxeGixcMUQk1DUY0/cYdg5QtCwKA6bzFq5jqtG9eeyEU2OCEjr785FO5k9YzSmpMfwT/TzkW8LdUnFy1tSGNL6jQ1DDC4fPpo7l2yiyG/z9aEncev4qVgifKp3X1w8/mck+H7d8rxwnlhO5SUTuPytg6kgeUSIcd/yTdkUvFsmjMSTttXa0qRx1q+nOriT/QGDheZP8DnDWReso9as4XNVPQi4sCoMIWcwCgfL2EautZwy+Q+l6j0m7u7FhJpPsN83En/MR1HSYfKBBrbluOzz+3EMj6QoNgX2MCjWDReFZwSZWzKBnwzczOetQv4Y7ckIy+EmFcWfm3ZAxKqM1p0RIlgzBpN6Zj6pPy3G/82Zx/uQaTSaD0GncEaIiAk8DJwJ7AKWiMg/lFLr2teyY0/AUFxUKrj37MWpcrGKTS76dhdiRtt+vLtHqNLteuntiOtlL+4HUdUxxG36HFMUN03sw52LtjW7A9IHsw2OBNOXYuZYm2ebLc31f2f5MX0p2rJUqab9CGNy39gbqUxEuXPFq1RE6wCoTjRSHgpREY3iKtXixxykJ7wJ1+MLr87l6pOHMrKkG0+tqeSGCV348eIDPLuhmpunF2dD3if3MLipn4Ezay+5VS55xSZf+39deHBrivOHm9SnYlw8tDc1iRiIZCe3a6sj3LlkM5eO6MXsFZU8fnp3Zoy1WywH94Wz/IihuHvSOOKu16qtpqtItXJOWJ6i2B/iwpMm8L0FTbnat42ZguXsY/LAL2K4DlvX/JaKbf9mynm/wGusQnS+cofBxcw4Io5euwZQEzf44bwKbhhfxgPzPfZFFH9Yk+KaU/38fX2S7/Y0CDy2H1Xl4hWbnH5lF57fkGL9do+CHOGzp1tUpiL8YMESbhp3Mj1zQpgCj087B9ezKA5U8bme3fj1CwkumaIItqK/XBNiVlpL9clUqw5iV3nplYqWrGb21PF8e/7fsjq9e8J5BKjFwEAph8rK1YTD5fjsXPJKh1O/fw3B3B5Qf4DknjWZA9ZKPLTmmNOoUvxi07MtVoH4xaZn+f7w/0fOIX2TnssvN8zlptGn8fyW1fxvv5HcueL17Pd83ymfoKfto8gfJKUsnly3hatGdyPP9lGfTPHUuq18om9XXty+l/JQAENcCoNeJjInlY7MGWTifySt5+7FJolLi6nId4iIx8VDe2MZQm3SbdWxUJtI0SUgfHNEy7H3m2f5CVit69YQso6Iy0YM4seLqtgbqaZr2OKuKf2Ys287nyvsjtPKeZFjNk8FSXLlJKdFkdfbFq/k0emnHPsv7WNA/B+z2VYoLDZvx3LGsSFQywEzztT6XpQmfRjAtmA9PRMJih3BIB+YBmoqnusybscKaq0AddZJ5KkUIcfgrIqm5TdzHMH2kuy2DSx2M9LqjodD92SYslgpj4e3U+SLsyw2kH82mpyb42L6PWL7TRjaer0xyQtiTuiHO/9d3JU7MEf2Oj4HS6PRfGg6y62PCcBmpdRWpVQSeA74dDvb9JEQiIP70AFUVdr7q6pc3IcOcEjdng/k4NKdzWm+dKdnClIUbPG6FAXxmvkHBEXQElcM8D0AACAASURBVK4b24tHZg7iurG9CFqCtKGaputYWUcEpMPln301gevoH2qdBU+lqFj+KH1yemV/zAH8ZtPb/HDsGMpDIQ7EopSHWt6FKg8F2B9LTw6ndOvBjW/v463dUZ5YVc13RhdzXr9c8oMOd59p8/RnAtwwysI5RPuBxw9w7QiT2atWk++3eGrdNiIph7iTntweZG11hOffreC+6WWIZ7Rap8RzDQptH3m21aqtCVGtnhM1boyQFeDOFW+2yNW+ZfnbhMJ9CUkAJ5lujzVWoDyX0s/eh4T1kogdhZTntlm7rjL54bx0VX+rWWrG+kqPp1YkuXq4j8DjLfXq/PwAn5/g48oL/ZxxmsusNauxTTOzpPEqHJW2RSmFIYpLh/bkxTdcahsVDcnWx+QGF2JO2rH82w3buXFC76z2D97xfmbjZiD9I6wmEW+h0+sXv0LQLiUZqwYxCIfLmT7zft5b+DN6jb6YQG45glA79+cAWHnloAtXHhcc5TJn/0KuXXon31rwA65deidz9i/EVYff/bUNk6pkhEfWvc5lw07JOiIg/T1fu/BlGpVQ/e6ruArmVlRy/YLVXD5nOdcvWM3cikrybF8mLW0gP31nDXEvQo88xd1nWtwzycb/WEs9+x+rIhj3cJTiqXXbiDoOBbbdYuyFtA6rE3E85whjr2Nx16kntdDtjRN6UZ9MUBGN85XBfTOOiKZIzh++vY8JZd1RVuvnRXWqKUJzX0QRtFpGk1REY7g6ALPNuIkkFc5S3rJvxHOnscWu5YDpo3+sjAEJHwmSOOKR5ybp4kizHxEmiMVZ+7cTcFNsDw4jaTiIgkOzci0FJ0Us/K7HXjPGXn+UPMdHlRnjlPpSuiTKqDf24xhVPF4d4M66XTgFcSIVJup9vlNjVC+kJJfknxajYtqhqtF0FjqLM6I7sLPZ37sybVlE5FsislRElh44cOC4GncsMVyVnQwcRFW5GG28qlrictfksqxDomvY4q7JZViZpTsbbIP410ZkL/JSFCT+tRE02E2SULgYeCAeKvO/gYfi8InSkVBHqBmhdM0IoHPoVnkuu3bOwQLKQ01LZ62p3cMfts7n0Wkzybd9zJo0LPujrjwU4OYJg3l8TbqglKfITjTXViW48e19XPbvPeyPOkTdBGImMI+g/fpYgupEkm0NUeZWVOE3LcpCfm45peWPsgsHdeHOJWtxXK91zSlIKsUdy+Zy47gBLWy9cdxAZm95F/cbI1ucE87Xh/ODdS9k7jwfnqvtKti88knikX1AuvCfiIlV0h/TOnEdbp1Bt82xDbNV7T4ydfoRtes0iy6rTzotCk2ur/SIx71W9XqgMcZnXnuLS99eSnUimV3BqCIaw1MKRylc5WGKR++cYFar/1wNqYtGHzImjyJUaFMWTjvQ1tbU88d3d/DQzIH86bzhPDC9P3/evJkXd+zM2B6kJtmyaF9ap0LIzsdnBDjjzEcwXZeqbXOwA4UMP+s+Iiv+SmLPGqy8ckrP/ylm+MQrXNkRNWuJSXmwtEVbebAUs5VaB4X+MPdNOJ+qZCS7ckZzKqINpBDKB34CQ2jVwVYS8HHVqL48tmY9cyv2UegPsi9Ww5Xz/4GXclrVc1e/zW2L1jG3oorGlIPC5eaJLcfeu049iZe37SCWclsdex1XYRoOV40p4+GZ/blqTBmPrVmTSakIkG/7Wo3kNMVktyQxvnXoeTGaJ5rVKiwLCzGn5R3z8lAwe+51Zo63buPPP8izXa4n7p3NdruWfWaI/FSYiRFFnSQoSplUWylUK8e2T6SWMXX7WJvbBcsrJWolMJSgDommdUXh84RTaxwSZg6GtwxLAQRxgXNqepDjlBP3bQAcltT34ZnANpyowXNb97IzETv8wwExDcyZQ6AuRurFd471odFoNB8RJ8xsWSn1BPAEwLhx4zqtP1yZIMVmi0mBFJuoNmY0OErx2q73uG96X0wxcJXHi9u28vn+fdKfIx57CyzUN4aTZ5jUey6Sa1EsTdUpRRQecZSkQGyUJPHwIRI6ajuMIyz1aLQx7eREpTPo1jDMdAV+Fee20WdxSyZVozyUz5f6jcQUl0YnwXPvbuaqUSdR6A/QJRjgwXfWsramNr0NIVsr4iBdwxalIR8/XDSXNTXVPDfxTLq2ov16z+XGcYN5bM3W7MTVFI+A5fDwzIFUxhPEHYeAqahOJKmIxSjIMQ/TnKscPKVYU3OAR9ct4oZxYykL5rI7EuGxNeupTiTY3r8nwUsH082fw75kI7duepHKZARLjGyu9kHKQ7kYboJ+w77I+qUPEcwpZ8zUWzEN64R2REDn0G1zCv1h7p94Adcs+lNWu1/sN4J/bnqAU/tcxpMb1h6m3cuGD89q9nfrqrnm1DLun5/KFkrNDRutjtX1Xvrv8lCAm8YPzkYHlYeC1CZilAT9eAqq4hHKbH92fNx1QPHMKh//c/EESvPBNYS9uBT74Ol1q7hqVG/ybD8x10EkyY8Wv8oVw6exrLIyu/27J43jlxvmtdj38lAuPkPYu3sRPXpMxk00sOXtewnklmPbeciifxCY8GnyR30OsUOY4ROzcGVH1GyuWNw79kauWzarWc2IG8mVw8cPQ4R+eV14YvL/kVS0Oh7Zhkm4qD/JeIybxg/kziVNRXpvGj+I2xavyI7J5aEg+6IN/HHrCn5yykz2NUZbHX93xmOsramnPBSgPpmkMh7ntxs2c924wXQPh3ivoYZ/797A14cOpDaaoCDHf9jYuyfaQFGOzeyVy1osU/vytp3MmjSMmrjT6vXBZwi7IjFerq7iS98ZRwAhZUClWFTF03aml9a1cY0k5aFgtmbETeNOxjoB5hnHU7eeUtwRH4GlprHH18AeIxdDCZMjcUxlU+uLEPSKeDfUeNh7A26Kz+7ZRJ1l8264JyfXW+w3Y5gqgHeIM8ITD8szGdLgsj7H5YWSAXx3JxSntrIj2JduCYPPVPbhlQKTvYGNhBLD2Wb3AGD11iQPNS6nu+1nbG4BM/KKGZ+Tj2mkxyyjaz7GyJ64b23EHdodc1j3w2zVaDQdC1HvF/PUQRCRScCtSqmzM3/fAKCU+nFr/ceNG6eWLl16HC08dsTjccx9kg1Xl2IT69tdcMsUgcDRF2OKx+NsjyW4fsHS7MX57knj6B30EwgEiMfjVCSSVETjBCyLuONQHgpQ7reznxOPx6lINrInWk/Q8hFzUnQL5VFu5xy1LfF4nKpGi2dfSTbVjDjbpjjHadP+dDA+kvstHVW3jhOnrvY93tv6L8oHfZq9sWpsK0zSidA1VMyOPYsoKz+TilhTJfNe4XyijuL6BenJ58GaETe+vS+7ususKWXUJKq4av48ykMhHjx1Kj3qAqR+1lL764MxZq/eQnU8yaxJw0h4EXJ9fpKui9+0SHrCDQuWUeT38/WhA+mXl4sbs/n9K81rRthIIIHC4Yp5r1ERbaQ8lMODk04n4saxxCLPDmKg8FD8cesSfrdlEeWhfO6dcD5hr45GyecHi1/N5mjfM+FsuqoIlhUgFasilagjlNOdYH5PDLNDOiM+Vro9FE8pqhONJJ0U4PLHNT/mnb1vcna/i5jS92tUJaJUJxpZVbWDs3uM4bUdezizR99sqsbU7iG+PboUpRSmoVhbtYdplOE+VHmYXh2BuONS4Le4f8VqqhMJbpswilxbKLBAiUldysUWCxUP8dyryRZa3aca+MOmnVwyrA9dAhaXzHk5q9mfTJxBl0CQiJNERKhLJsj3hVAoXtu9ilHFfbh9eVMtgXsmno2z+3XKu46GZIytCx4kFati+NSb8c15Dt/p30Lyy5BgPmJ0SCfEMddtR9Gs66aoj+4liocnBobyCGGQF+qKabZetNr1HHZGKqiMO9yx/K0WNSP65RVjiOApxY6GBvZEogQsH6AosG2umbckOx/40fiTeXbzEr4+ZBxd/AFQJvmVVovxN3FZIde+t4GqRJKbxg8iaAn3v7OW6niCWyaM5GerF1GViPGTiTMoC4ZIupCK2i30/MWzbaxggupkBLC5IXNNOFhk8oVtG7ngpCEYhA67PthmgrBlUZ1MtXjfTydPwG/6cT3BUw5+K0ncVeyORgmaFjHXoVswSLk/2F7zjE431u5ujHHrXzZTFjuJ/WaMLb4ASlwmRKIMTOSxPljFwMYgXRMB3i6oahEZIUpx4a51DGys5uWyfoScHvSMFbExvIMZ23tyINTIrvzabP++NcUEUzZv995FxITnu/n50t4SusdrKfAe4W9lV9IjUYKtYK8vzjZ/Aw0U863tkLBSLChrIN8JIkposOLsDFRRmbeXMfkBLirrSTcrgPOnJahIAv/3z8MoOrQCi+YInACxRJrOSGdxRljAJuB0YDewBPiiUmpta/07ykTjvyUejyNRE8MFzwQVcv+rC2o8HqfWTed7WiIUmEaL7aRfd5u9bh72OfF4nBovget5mIZBoeFvsy3xeJyoY+F5YBgQsjq1IwI64UTjw+I4cRLxGhCLBA6uSq8vn+svJJqoQcQmqnxpLRlCOttHSLpGVl+5pkmDa+B66ZomYdOj0XVxlYclBgFT8DyPcNzOaF/hhRR1roerwBQwMmlGCHieQomBXwySHtnPsQ2FJQaO48PzMlE4poMSFxOPmJcu8Goagt/wSHjpiAlDDHxiohAcz8NTCp8hBHDwVArBJI6Nq8ASyBEX8VIYYuI5CQzDwhcq6aiOCPgY6rY1PM8hmWgk6sWyOg6ZIRq9dJFASyDPDFLneZgIjrKymjXFyerMUYoc08COGpieoExo8DskVDotyZK09pKuwhCwDI+wGBhAxK0nYOYTVQoTA9y0Vk0DXCNF3POwRAiagoNLylM4nodlGAQMBQgxz8HNtAUFYp6Hh+A3LFzlkcpsI9dQKDeJZfhQbiJTr8LAUgaGmBAu7KhOiIOcsM4ISDskovFKPM/FMExCgZIjOiIO4imPukQDcS+ttYBpUegPtVjpylOK6nichOtiCPgNk6SncJXCFAFcECiygzQmK1EKTDNIKBZEnPTco9HvEVcehgiWoVBKkfIUPsMAVOZ8EQJGCp/4iSgPAwNxbFCCGOCzHBIqhaM80uWmrPQYaoAIpFwXwxD8hkHS9WXPNUscXDxyDJOY8khl9tU0hALDoMaLN5uXpOcTtV4Cx0tvu+C/mKscQzrNWOt4Hn/evJt/LEzQN1ZOpZlgi8+PY8QZFG9kQqSEXXYD+6xGPnmgKzsDMTaHIk0bUIpz9m1lUs0eFhWUsy63hPE1fUiJw87gPs54rw+7cmvYm9sUxdOrtpCCeIg3+6ZXd9lnC7vChZxZnc979jucVfMim3K6sirv8xQ6eZiZw9mtAcojigWlLrtDNTiSoDCVS4mTT1IcVufs5J3cHYhRy+j4du5YVk4q16P6Sz0o6zGc/FA50obV4D6G6IOjaRc67Ky5OUopR0SuBF4hvQTDk0dyRJwIBAIBaHENbduyns230/VDvH6wTzkf7oIeCAQO2UKnkJ2mGZYVwMopB7Irv2bJt9LteUexnUPfm9tap0OygIKt9WkzTZor+BBbyf/gLpoOjmFYBIIFBA5RwqGjXOujXiuFHZt1LGrt9VYIZM6EQ8+HNEeXk3eojrU2Oyem6SM3XN6m9xhiUBh4/2/cEKEkeHSjZ5HVbCbQTM/+Nll1JD1b5P5Xc4imc6m17bY2L+n6IecqHydcpZiz+wAPL9tGcVUP+qbK2W86vOfzkzQjDInFmBApocqK8Z6/jkm1RQDsCDSl2RjK4xN7tzC+di9rc4tZl1tMSTIHv+djX7CacCo9d01YLWuRJE0X2zPxuQYp06MsqbBVHSnJpcEexHcGldArFqdHYgNRt551eYOwVSHbfD4+F/HTJW6xK9yFqOGyPRwnIVUMiQUZ29CXIZEeLMndxdJwKTcMiXP32hpSTx3gomFvszeYRIgiEscyEoRMjyI7RNecInrnldI3r5TyUB5FgTBF/jD5dhDzfVLWVKYGkFJgGdKmZe81Gk0TneZXoVLqZeDl9rZDo9FoNBqNRqPpbGyrj/Dm7gM8v76CnIZi+scHY2KwzYI9FlhSzdQGHycl0o6IdcEqToqF6R0PsTUYIWl4oBS9o3Wcu28r5YkIK/O6sDy/DNuz6NvYhZiRoMGKIsDyrnuQQ4qeV4Ui7MmNkDKaapQVplySqp4Rjfnssv0syzdZKc3SK1QjiKIsksep1WGW5cUQO8hJyTAQJmK5LDXj9EmaTK/ry4hIdxbm7uXGobu4dcM+frEiyZO983mpazdShpDyoM6B2oRia53H/N0AlUAVAIKQDhQwAANBEDnYDir7zyMd8uMhAjk+k0K/TZ7PT47Ppixk0zPXT7ecAF1DAcpCAYr8Ph2hodE0o9M4IzQajUaj0Wg0Gk1LXKVIuC5xxyPqONQmkmyqrmNDZYSttXH2N3iQCBJ0cyh0chjpjMBCiAjsNj18KsHkaJKeiQIMhL1WA7ajmFxTTL8ooLZTHKtjSF2EkyK1dEnGiJgW/ynpxe5AIf0ixRQncjCVwbbQPpD0T/RGf5JQqmV0Qcp0idjeYUkBCWrxE+Tc6hKm1NZxwKwjbqawPYVPQcxUvJPfyMDG3py/O8CqvHqW58dI+MKEVJhCFaDegoShKEn5+ERNL+qNHvyybw3n7l3JVVtquWRbA0sL8tgYCnHA72dPMMS7OYfHdaadDAdXj3NBHDzlNeshCAZy0FmhDECIOAaRmJl1WqS3lQSigIMSB0iiJI4QwSCK0Ihf6vBLBJsEPpKEJUWIFPniUWQK+XaAPDuHfH8uecE8/IEwATsX25+H387F7wvj94ewLT+WFcAwfJiGmbZROz40HRztjNBoNBqNRqPRaDoh35+3mrl7Klu0iRvi9LrhQAldoUVKbkwgLooR2YwLAwiQFIv9vjp2+KsIuSbn1vUlbjjE2MzMqnUAJEXYGwjyekkZG3PycAwDUXGKkmEiVpwdwUqiVjL7WXERUq2knjX6HFKtZEA0qp0UuV3I8fKotKpBEiRNOLjFIRFYlf8ePWNlDIjk8HppFZtzakCB3w3RJZVPoROkzvTRxRFyXINcr5jlXWayO/cAJzVsZ2LtAWZW1QAwr6CUHw1VQAoO1qTCAGUh+BBlA+lime9H2mnhACkUyRbLmaYdFSbgQ1Qg7ahQzd8LcSCWafTMvWl7Dr7oZf5sXqoj01fJAZDdTS9IZcbJk3ac2NQzQP6c/bw+BUO4ZeYz77svGs3xplMUsGwrInIA2N7OZpSQjvnqCHQUWzqKHfDhbKlUSp1zLI2BDqPbI9GRvru20lltP9Z2f5S6jdB5jnFn0kNnshU+GnuPuW476FjbGb5rbePRcaLNETrCMT2W6P1pnY9EtxrNB3FCOiM6AiKyVCk1rr3tgI5jS0exAzqWLZ2Bzny8OqvtnclubetHQ2eyFTqfvR2JznDstI0fT060Y6r3R6PpWHTo9bw0Go1Go9FoNBqNRqPRnHhoZ4RGo9FoNBqNRqPRaDSa44p2Rnx0PNHeBjSjo9jSUeyAjmVLZ6AzH6/Oantnslvb+tHQmWyFzmdvR6IzHDtt48eTE+2Y6v3RaDoQumaERqPRaDQajUaj0Wg0muOKjozQaDQajUaj0Wg0Go1Gc1zRzohjjIicIyIbRWSziFzfjnb0FJE3RGSdiKwVkavay5ZmNpkiskJEXmxnOwpE5E8iskFE1ovIpPa0pyPxQfoVEb+I/CHz+iIR6XP8rTyco7D7YhE5ICLvZB7faA87D0VEnhSR/SKy5givi4j8LLNfq0RkzPG2sTVEpEhEXhORdzP/Fx6hn9vsmP/jONvYabTcmfTbWTXbUegMuuwMetQ6/OjpKPPZtiIi20RkdUabSzNtrV6zOqJOWtP2f2O/iFyU6f+uiFzUHvui0RwVSin9OEYPwAS2ACcBNrASGNpOtpQDYzLPc4FN7WVLM5uuBn4PvNjOdjwNfCPz3AYK2ls7HeFxNPoFLgceyzz/AvCHTmL3xcDP29vWVmyfBowB1hzh9U8A/wQEOAVY1N42Z+y6B7g+8/x64CdH6NfYgTXRIbTc2fTbWTXbER6dQZedRY9ah+2vg476ALYBJYe0tXrN6og6aU3bbbUfKAK2Zv4vzDwvbO990w/9aO2hIyOOLROAzUqprUqpJPAc8On2MEQpVaGUWp553gCsB7q3hy0AItIDOA/4ZXvZkLEjn/RA/ysApVRSKVXbnjZ1II5Gv58m7cwB+BNwuojIcbSxNTrMeddWlFJzger36fJp4DcqzUKgQETKj49170tzHTwNfKYdbWmNzqTlTqXfTqzZjkBn0GWn0KPW4UdOp9BBGzjSNavD6eQI2m6r/WcDrymlqpVSNcBrwDkfvfUaTdvRzohjS3dgZ7O/d9GODoCDZMI8RwOL2tGMB4HvA1472gDQFzgAPCXplJFfiki4nW3qKByNfrN9lFIOUAcUHxfrjszRnnfnZ8IY/yQiPY+PaR+aDjmmAGVKqYrM871A2RH6BURkqYgsFJHj6bDoTFo+0fTbUTXbEegMujxR9Kh1+OHozMdPAa+KyDIR+Vam7UjXrM6yn221v7Psl0ajnREnOiKSA/wZ+K5Sqr6dbPgksF8ptaw9Pv8QLNLhb48qpUYDEdIhb5oTmxeAPkqpk0nfIXj6A/p/7BGRf4vImlYeLe6OKaUU6clfa/RWSo0Dvgg8KCL9Pmq7T1C0fjUdCa1HTUdmilJqDHAucIWITGv+4gdcszo8nd1+jeZQtDPi2LIbaH6HoEemrV0QER9pR8QzSqm/tJcdwGTgUyKyjXSo32ki8rt2smUXsEspdTBK5E+knROao9Nvto+IWEA+UHVcrDsyH2i3UqpKKZXI/PlLYOxxsu3D0m5jilLqDKXU8FYefwf2HQxlzfy//wjb2J35fyvwJukIreNBZ9LyiabfDnUd7GB0Bl2eKHrUOvxwdNrj1+y6sx/4K+mUkyNdszrLfrbV/s6yXxqNdkYcY5YAA0Skr4jYpItPHdcK8gfJ5Jj+ClivlPppe9hwEKXUDUqpHkqpPqSPyetKqS+3ky17gZ0iMijTdDqwrj1s6YAcjX7/ARysynwB6e+yvT30H2j3ITmgnyJdQ6Uz8A/gq5mK2acAdc1CNduT5jq4CPj7oR1EpFBE/JnnJaSdksfrXOtMWj7R9NtRNdsR6Ay6PFH0qHX44egw89m2ICJhEck9+Bw4C1jDka9ZnUUnbbX/FeCszHW4kPRxeOV4G63RHA1WextwIqGUckTkStInvAk8qZRa207mTAa+AqwWkXcybTcqpV5uJ3s6Et8GnslcYLcCX2tnezoER9KviNwOLFVK/YO0g+u3IrKZdIGlL7SfxWmO0u7viMinAIe03Re3m8HNEJFngRlAiYjsAm4BfABKqceAl0lXy94MROk4Wr0beF5Evg5sB/4XQETGAZcqpb4BDAEeFxGPtOP7bqXUcXFGdCYtdzb9dmLNtjudQZedRY9ahx8tHWw+2xbKgL+m78dhAb9XSv1LRJbQyjWLDqiTI2i71WsuR7BfKVUtIneQdioB3K6Uer+CrxpNuyHtf1NTo9FoNBqNRqPRaDQazccJnaah0Wg0Go1Go9FoNBqN5riinREajUaj0Wg0Go1Go9FojivaGaHRaDQajUaj0Wg0Go3muKKdERqNRqPRaDQajUaj0WiOK9oZodFoNBqNRqPRaDQajea4op0RGo2m3RGRAhG5vL3t0Gj+W0Tkxva2QaNpCyLSR0TWtLcdGs3xIKP3L7a3HRqNpiXaGaHRaDoCBYB2Rmg6M9oZodFoNB2XPoB2Rmg0HQztjOjkiEhYRF4SkZUiskZELhSRsSIyR0SWicgrIlKe6ftNEVmS6ftnEQll2j+fee9KEZmbaQuIyFMislpEVojIzEz7xSLyFxH5l4i8KyL3tN/ea04g7gb6icg7InKviFyX0eoqEbkNsnc1NojIr0Vkk4g8IyJniMi8jBYnZPrdKiK/FZEFmfZvtuueaU44RORvmfF1rYh8S0TuBoIZ/T6T6fNlEVmcaXtcRMxMe2NG42tF5N8iMkFE3hSRrSLyqUyfi0Xk75n2d0XklnbcXc2JjSkiv8jo8VURCWZ0Nw5AREpEZFvm+cUZ7b8mIttE5EoRuTozR1goIkXtuieajyUi8tXMXGFl5tr/axH5mYjMz4yrF2S63g1MzYzJ32tPmzUaTRPaGdH5OQfYo5QaqZQaDvwLeAi4QCk1FngSuCvT9y9KqfFKqZHAeuDrmfabgbMz7Z/KtF0BKKXUCOD/gKdFJJB5bRRwITACuFBEen60u6j5GHA9sEUpNQp4DRgATCCttbEiMi3Trz9wPzA48/giMAW4lpZ3pk8GTgMmATeLSLfjsROajw2XZMbXccB3gHuBmFJqlFLqSyIyhPQYOTmjaRf4Uua9YeB1pdQwoAG4EzgT+Cxwe7PPmACcT1rLnz/441CjOcYMAB7O6LGWtObej+HA54DxpOcWUaXUaGAB8NWP0lCN5lBEZBhwE3BaZg57VealctJzg0+SdkJAep7xVmacfuC4G6vRaFrFam8DNB+a1cD9IvIT4EWghvRk4TURATCBikzf4SJyJ+mQ+BzglUz7PODXIvI88JdM2xTSTg2UUhtEZDswMPPaf5RSdQAisg7oDez8yPZQ83HjrMxjRebvHNIT5h3Ae0qp1QAispa0FpWIrCYdgnmQvyulYkBMRN4g/cPub8fJfs2Jz3dE5LOZ5z1J67M5pwNjgSWZcTgI7M+8liTtNIb0+J1QSqVa0fBrSqkqABH5C+kxeekx3g+N5j2l1DuZ58toqcHWeEMp1QA0iEgd8EKmfTVpx5lGczw5DfijUqoSQClVnRlz/6aU8oB1IlLWngZqNJr3RzsjOjlKqU0iMgb4BOk7bK8Da5VSk1rp/mvgM0qplSJyMTAjs41LRWQicB6wTETGfsDHJpo9mSuExQAAAlhJREFUd9E60hxbBPixUurxFo0ifWipPa/Z3x4tdagO2eahf2s0/xUiMgM4A5iklIqKyJtA4NBuwNNKqRta2URKKXVQj1kNK6U8EdEa1hxvDr2eBwGHpsjZQ7V9tGOwRtOeNNeptJsVGo3mA9FpGp2cTPh5VCn1O9KhwhOBLiIyKfO6LxPGBpALVIiIj6aQYUSkn1JqkVLqZuAA6Tt9bx3sIyIDgV7AxuO0W5qPHw2k9QnpiJ1LRCQHQES6i0hpG7f36Uzdk2LSTrclx8xSzcedfKAm44gYDJySaU9lxlaA/wAXHNStiBSJSO82fs6ZmfcFgc+QjmDTaI4H20hH9gBc8D79NJr25nXSaWzFkB5r36dv83mGRqPpIGgvdudnBHCviHhACriM9F2Nn4lIPunv+EFgLfAjYBFph8Mimgble0VkAGnv8X+AlcAG4NFM6LADXKyUSmTC3zSaY4pSqipTiHIN8E/g98CCjN4agS+Tvmt3tKwC3gBKgDuUUnuOscmajy//Ai4VkfWkHbQLM+1PAKtEZHmmbsRNwKsiYpAem68AtrfhcxYDfwZ6AL9TSukUDc3x4j7geRH5FvBSexuj0RwJ9f/buWMTBAIgCIB7PVmWRZiYWYStWIKCnZg+ZyJ8YiR4rzBTwcXL7nXfq+qY5FJVS9Z55zu3JEtVXZOc/Y2A31BrWxTg/1XVIcmju09b3wKfeM3odt293/oWAIBvMdMAAAAARmlGAAAAAKM0IwAAAIBRwggAAABglDACAAAAGCWMAAAAAEYJIwAAAIBRwggAAABg1BO2JqY3cX0TcQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1047.25x900 with 30 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8270RAZ5l6O-",
        "colab_type": "code",
        "outputId": "2e993a16-4484-4ec6-8a53-b7526099ad93",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Após retirar as linhas que contém valores nulos para a coluna \"dteday\", \n",
        "#passamos a contar com quantas instancias e atributos, respectivamente?\n",
        "\n",
        "df_bikes_novo.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(15641, 17)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9rC2808jmbUt",
        "colab_type": "code",
        "outputId": "965b821a-3825-4f8e-e6e2-3e2046f6216f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Considere o dataset após a retirada das linhas que continham valores nulos para a coluna \"dteday\". \n",
        "#Qual é o valor médio para os dados da coluna \"temp\" (temperatura ambiente normalizada)?\n",
        "\n",
        "df_bikes_novo['temp'].mean()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.4969259206597602"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BrDoc0Ltmrw1",
        "colab_type": "code",
        "outputId": "d878ceeb-7e17-4d5a-fdec-fc60b06fd72c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        }
      },
      "source": [
        "#Quantos tipos diferentes de dados existem no dataset do desafio?\n",
        "df_bikes_novo.info()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 15641 entries, 1 to 17378\n",
            "Data columns (total 17 columns):\n",
            " #   Column      Non-Null Count  Dtype  \n",
            "---  ------      --------------  -----  \n",
            " 0   instant     15641 non-null  float64\n",
            " 1   dteday      15641 non-null  object \n",
            " 2   season      15641 non-null  float64\n",
            " 3   yr          15641 non-null  float64\n",
            " 4   mnth        15641 non-null  float64\n",
            " 5   hr          15641 non-null  float64\n",
            " 6   holiday     15641 non-null  float64\n",
            " 7   weekday     15641 non-null  float64\n",
            " 8   workingday  15641 non-null  float64\n",
            " 9   weathersit  15641 non-null  float64\n",
            " 10  temp        15641 non-null  float64\n",
            " 11  atemp       15641 non-null  float64\n",
            " 12  hum         15641 non-null  float64\n",
            " 13  windspeed   15641 non-null  float64\n",
            " 14  casual      15641 non-null  float64\n",
            " 15  registered  15641 non-null  float64\n",
            " 16  cnt         15641 non-null  float64\n",
            "dtypes: float64(16), object(1)\n",
            "memory usage: 2.8+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vIM1aHnpm3Qd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Considere o dataset após a retirada das linhas que continham valores nulos para a coluna \"dteday\". \n",
        "#Transforme a coluna \"dteday\" no tipo \"datetime\". Qual é a última data presente no dataset ( YYYY-MM-DD)?\n",
        "df_datetime = df_bikes_novo[['dteday']]\n",
        "df_datetime"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AGQN4TxnoOjl",
        "colab_type": "code",
        "outputId": "73f0c681-d934-47cf-c6b9-34c6f5baf448",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        }
      },
      "source": [
        "print (type(df_datetime['dteday'][1]))\n",
        "df_datetime['dteday'] = pd.to_datetime(df_datetime['dteday'])\n",
        "print (type(df_datetime['dteday'][1]))\n",
        "df_datetime['dteday'].tail()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'str'>\n",
            "<class 'pandas._libs.tslibs.timestamps.Timestamp'>\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "17373   2012-12-31\n",
              "17374   2012-12-31\n",
              "17375   2012-12-31\n",
              "17377   2012-12-31\n",
              "17378   2012-12-31\n",
              "Name: dteday, dtype: datetime64[ns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 116
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sins8LLvtQTK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Utilize os mesmos dados da questão anterior (\"hum\" e \"casual\" como variáveis independentes e \"cnt\" como variavel dependente). \n",
        "#Aplique a árvore de decisão como regressão. Qual é o valor aproximado de R2? Utilize as entradas como teste e valores \"default\"."
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "soDNSVn3S0aj",
        "colab_type": "code",
        "outputId": "d8cdbb74-2dc5-4f82-c0f9-b91c18e0c452",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "#Criando novo dataset\n",
        "df2 = dataframe_bikes_mod\n",
        "df2.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>instant</th>\n",
              "      <th>dteday</th>\n",
              "      <th>season</th>\n",
              "      <th>yr</th>\n",
              "      <th>mnth</th>\n",
              "      <th>hr</th>\n",
              "      <th>holiday</th>\n",
              "      <th>weekday</th>\n",
              "      <th>workingday</th>\n",
              "      <th>weathersit</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>hum</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>casual</th>\n",
              "      <th>registered</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.81</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>16.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>40.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>32.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   instant      dteday  season   yr  ...  windspeed  casual  registered   cnt\n",
              "0      1.0         NaN     1.0  0.0  ...        0.0     3.0        13.0  16.0\n",
              "1      2.0  2011-01-01     1.0  0.0  ...        0.0     8.0        32.0  40.0\n",
              "2      3.0  2011-01-01     1.0  0.0  ...        0.0     5.0        27.0  32.0\n",
              "3      4.0  2011-01-01     1.0  0.0  ...        0.0     3.0        10.0  13.0\n",
              "4      5.0  2011-01-01     1.0  0.0  ...        0.0     0.0         1.0   1.0\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 176
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ISXwpjFHcI-8",
        "colab_type": "code",
        "outputId": "7acc738c-3929-4f9d-f941-6ca4af48e974",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "#Trocando os valor NAN por média da coluna\n",
        "df2.fillna(df_bikes_novo.mean(), inplace=True)\n",
        "df2.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>instant</th>\n",
              "      <th>dteday</th>\n",
              "      <th>season</th>\n",
              "      <th>yr</th>\n",
              "      <th>mnth</th>\n",
              "      <th>hr</th>\n",
              "      <th>holiday</th>\n",
              "      <th>weekday</th>\n",
              "      <th>workingday</th>\n",
              "      <th>weathersit</th>\n",
              "      <th>temp</th>\n",
              "      <th>atemp</th>\n",
              "      <th>hum</th>\n",
              "      <th>windspeed</th>\n",
              "      <th>casual</th>\n",
              "      <th>registered</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>1.0</td>\n",
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              "      <td>1.000000</td>\n",
              "      <td>0.496926</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.81</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>16.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
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              "      <td>1.422432</td>\n",
              "      <td>0.220000</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>40.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.220000</td>\n",
              "      <td>0.2727</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>32.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.240000</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>2011-01-01</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.683053</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.240000</td>\n",
              "      <td>0.2879</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   instant      dteday  season   yr  ...  windspeed  casual  registered   cnt\n",
              "0      1.0         NaN     1.0  0.0  ...        0.0     3.0        13.0  16.0\n",
              "1      2.0  2011-01-01     1.0  0.0  ...        0.0     8.0        32.0  40.0\n",
              "2      3.0  2011-01-01     1.0  0.0  ...        0.0     5.0        27.0  32.0\n",
              "3      4.0  2011-01-01     1.0  0.0  ...        0.0     3.0        10.0  13.0\n",
              "4      5.0  2011-01-01     1.0  0.0  ...        0.0     0.0         1.0   1.0\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 179
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MxQuhd-X0i79",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Arvore de decisão regressora\n",
        "X2 = df2[['hum','casual']].values\n",
        "y2 = df2['cnt'].values #Variavel Dependente ou Resposta"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HFfFhPoH07r-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.tree import DecisionTreeRegressor"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3-eMF6Qr1QPu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Criando o modelo de classificaçãor\n",
        "regressor = DecisionTreeRegressor()  "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QsbjML2L5Gu2",
        "colab_type": "code",
        "outputId": "5d0cee29-e1a1-4f0a-f6e4-89641e727ed4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "#Treinando o modelo de classificação\n",
        "regressor.fit(X2, y2)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeRegressor(ccp_alpha=0.0, criterion='mse', max_depth=None,\n",
              "                      max_features=None, max_leaf_nodes=None,\n",
              "                      min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                      min_samples_leaf=1, min_samples_split=2,\n",
              "                      min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                      random_state=None, splitter='best')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 183
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Bjl0bMnJ9DP2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#realiza a previsão\n",
        "previsao_arvore=regressor.predict(X2)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9_9tpnuH9qkd",
        "colab_type": "code",
        "outputId": "43f4f772-a85b-4648-cca1-8743ae641f7d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "from sklearn import metrics\n",
        "print('Erro absoluto:', metrics.mean_absolute_error(y2, previsao_arvore))\n",
        "print('Mean Squared Error:', metrics.mean_squared_error(y2, previsao_arvore))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Erro absoluto: 60.62933362292776\n",
            "Mean Squared Error: 9015.757261451265\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w3o21ZPFAolj",
        "colab_type": "code",
        "outputId": "99ca0aa2-1591-46fd-f64d-76f777eaaa8a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "from sklearn.metrics import r2_score\n",
        "\n",
        "#Verificando o R2 ou Coeficiente de Determinação\n",
        "print('R2: %.2f' % r2_score(y2, previsao_arvore))\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "R2: 0.70\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u30VIVU6E3kB",
        "colab_type": "code",
        "outputId": "c1c8d7db-1806-4b66-f1dc-1fee2c74534a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Considere o dataset após a retirada das linhas que continham valores nulos para a coluna \"dteday\". \n",
        "#Transforme a coluna \"season\" em valores categóricos. Quantas categorias diferentes existem?\n",
        "\n",
        "df_bikes_novo['season'].dtypes"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "CategoricalDtype(categories=[1.0, 2.0, 2.5079297347272598, 3.0, 4.0], ordered=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 155
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rM8eU_VfHT0P",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# convert Series to categorical type - see docs for more details\n",
        "df_bikes_novo['season'] = df_bikes_novo['season'].astype('category')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "46VVDwT9HMqB",
        "colab_type": "code",
        "outputId": "43aebbb2-4b14-46de-ac3c-55aea7d861b5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        }
      },
      "source": [
        "#Consultando os tipos de dados do dataframe\n",
        "df_bikes_novo.dtypes"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "instant        float64\n",
              "dteday          object\n",
              "season        category\n",
              "yr             float64\n",
              "mnth           float64\n",
              "hr             float64\n",
              "holiday        float64\n",
              "weekday        float64\n",
              "workingday     float64\n",
              "weathersit     float64\n",
              "temp           float64\n",
              "atemp          float64\n",
              "hum            float64\n",
              "windspeed      float64\n",
              "casual         float64\n",
              "registered     float64\n",
              "cnt            float64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 157
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L7oZQ5ttH7ef",
        "colab_type": "code",
        "outputId": "d0829963-0518-4516-e9ac-9e0bc9c29ab6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Qual é a proporção (em %) de valores nulos existente na coluna \"temp\" (temperatura ambiente normalizada)?\n",
        "dataframe_bikes_mod['temp'].isnull().sum()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1738"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 170
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dzP7LgUpJRVv",
        "colab_type": "code",
        "outputId": "6a56ab63-efe6-4b12-a998-ec368188c49b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Quantificando em percentual os nulos da coluna temp.\n",
        "temp_null = dataframe_bikes_mod.temp.isnull().sum()\n",
        "temp_nnull = dataframe_bikes_mod.temp.count()\n",
        "\n",
        "percent = (temp_null/(temp_null+temp_nnull))*100\n",
        "print(percent) "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "10.000575407100524\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}