SafeNav_1_0.ipynb

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        "<a href=\"https://colab.research.google.com/github/cupoglee/SafeNav/blob/main/SafeNav_1_0.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "import os #Importing the operating system\n",
        "import numpy as np #Linear Algebra\n",
        "import pandas as pd #Data frames\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import plotly.express as px\n",
        "import missingno as msno"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.model_selection import RandomizedSearchCV, RepeatedStratifiedKFold, train_test_split\n",
        "from sklearn.metrics import precision_score, confusion_matrix\n",
        "\n",
        "from sklearn import tree"
      ],
      "metadata": {
        "id": "VPHmOA0zeWS2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('streets3.csv') #To read a .csv file into a dataframe using pandas"
      ],
      "metadata": {
        "id": "9GTbZYAdeY1S"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Read and Analyse Data\n"
      ],
      "metadata": {
        "id": "qwXIrVTKehRa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
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      "execution_count": null,
      "outputs": [
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              "               Street name  Nearest metro station distance (in km)  \\\n",
              "0               akbar road                                    1.20   \n",
              "1      aruna asaf ali marg                                    5.10   \n",
              "2             ashram chowk                                    5.70   \n",
              "3  bahadur shah zafar marg                                    0.27   \n",
              "4          barakhamba road                                    2.40   \n",
              "\n",
              "          Type of road  No. of Crime  Nearest police chowki (in km)  \\\n",
              "0  major district road         857.0                          2.500   \n",
              "1        district road        2005.0                         17.400   \n",
              "2  major district road        2008.0                          2.700   \n",
              "3  major district road         857.0                          2.600   \n",
              "4  major district road         857.0                          0.393   \n",
              "\n",
              "   Population Density   Rape  Kidnapping & Abduction_Total  Acid attack  \\\n",
              "0            582320.0   91.0                         305.0        212.0   \n",
              "1           2292958.0  234.0                         719.0        494.0   \n",
              "2           2292958.0  266.0                         683.0        469.0   \n",
              "3            582320.0   91.0                         305.0        212.0   \n",
              "4            582320.0   91.0                         305.0        212.0   \n",
              "\n",
              "   Assault on Women  Sexual Harassment  Use of criminal force to women  \\\n",
              "0              54.0                9.0                            26.0   \n",
              "1              86.0               57.0                            99.0   \n",
              "2              85.0               34.0                            74.0   \n",
              "3              54.0                9.0                            26.0   \n",
              "4              54.0                9.0                            26.0   \n",
              "\n",
              "   Stalking  Other Assault on Women  Safety  \n",
              "0     123.0                    37.0       3  \n",
              "1     248.0                    68.0       2  \n",
              "2     274.0                   123.0       1  \n",
              "3     123.0                    37.0       3  \n",
              "4     123.0                    37.0       3  "
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              "      <th>Street name</th>\n",
              "      <th>Nearest metro station distance (in km)</th>\n",
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              "      <th>0</th>\n",
              "      <td>akbar road</td>\n",
              "      <td>1.20</td>\n",
              "      <td>major district road</td>\n",
              "      <td>857.0</td>\n",
              "      <td>2.500</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>aruna asaf ali marg</td>\n",
              "      <td>5.10</td>\n",
              "      <td>district road</td>\n",
              "      <td>2005.0</td>\n",
              "      <td>17.400</td>\n",
              "      <td>2292958.0</td>\n",
              "      <td>234.0</td>\n",
              "      <td>719.0</td>\n",
              "      <td>494.0</td>\n",
              "      <td>86.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>99.0</td>\n",
              "      <td>248.0</td>\n",
              "      <td>68.0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ashram chowk</td>\n",
              "      <td>5.70</td>\n",
              "      <td>major district road</td>\n",
              "      <td>2008.0</td>\n",
              "      <td>2.700</td>\n",
              "      <td>2292958.0</td>\n",
              "      <td>266.0</td>\n",
              "      <td>683.0</td>\n",
              "      <td>469.0</td>\n",
              "      <td>85.0</td>\n",
              "      <td>34.0</td>\n",
              "      <td>74.0</td>\n",
              "      <td>274.0</td>\n",
              "      <td>123.0</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>bahadur shah zafar marg</td>\n",
              "      <td>0.27</td>\n",
              "      <td>major district road</td>\n",
              "      <td>857.0</td>\n",
              "      <td>2.600</td>\n",
              "      <td>582320.0</td>\n",
              "      <td>91.0</td>\n",
              "      <td>305.0</td>\n",
              "      <td>212.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>26.0</td>\n",
              "      <td>123.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>barakhamba road</td>\n",
              "      <td>2.40</td>\n",
              "      <td>major district road</td>\n",
              "      <td>857.0</td>\n",
              "      <td>0.393</td>\n",
              "      <td>582320.0</td>\n",
              "      <td>91.0</td>\n",
              "      <td>305.0</td>\n",
              "      <td>212.0</td>\n",
              "      <td>54.0</td>\n",
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              "      <td>123.0</td>\n",
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      \"min\": 44.0,\n        \"max\": 1047.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          678.0,\n          719.0,\n          663.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Acid attack\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 162.49786568021784,\n        \"min\": 56.0,\n        \"max\": 595.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          446.0,\n          494.0,\n          404.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Assault on Women\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 40.55172863503117,\n        \"min\": 25.0,\n        \"max\": 171.0,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          137.0,\n          86.0,\n          109.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Sexual Harassment\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 21.50795362583663,\n        \"min\": 1.0,\n        \"max\": 64.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          36.0,\n          57.0,\n          23.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Use of criminal force to women\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31.450587967798274,\n        \"min\": 14.0,\n        \"max\": 99.0,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          91.0,\n          99.0,\n          16.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Stalking\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 104.66011690972044,\n        \"min\": 15.0,\n        \"max\": 406.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          143.0,\n          248.0,\n          208.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Other Assault on Women\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 227.82316493352653,\n        \"min\": 0.0,\n        \"max\": 665.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          114.0,\n          68.0,\n          51.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Safety\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 3,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          2,\n          0,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe()\n",
        "#Describes statistical values and details of the given dataset"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 389
        },
        "id": "z1WULB_AenGp",
        "outputId": "1e0bfa9c-aa01-4ab4-93d3-dbd879d30892"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Nearest metro station distance (in km)  No. of Crime  \\\n",
              "count                              140.000000    130.000000   \n",
              "mean                                21.652979   1539.053846   \n",
              "std                                101.214698    762.117952   \n",
              "min                                  0.044000    193.000000   \n",
              "25%                                  0.650750    857.000000   \n",
              "50%                                  1.300000   1270.500000   \n",
              "75%                                  3.200000   2005.000000   \n",
              "max                                600.000000   2762.000000   \n",
              "\n",
              "       Nearest police chowki (in km)  Population Density        Rape  \\\n",
              "count                     140.000000        1.390000e+02  130.000000   \n",
              "mean                       28.817171        1.544044e+06  166.984615   \n",
              "std                       118.932993        1.031461e+06   82.936511   \n",
              "min                         0.044000        1.160000e+05   20.000000   \n",
              "25%                         0.700000        5.823200e+05   91.000000   \n",
              "50%                         1.600000        1.674714e+06  128.000000   \n",
              "75%                         4.800000        2.543243e+06  234.000000   \n",
              "max                       600.000000        3.656539e+06  280.000000   \n",
              "\n",
              "       Kidnapping & Abduction_Total  Acid attack  Assault on Women  \\\n",
              "count                    130.000000   130.000000        130.000000   \n",
              "mean                     502.646154   361.384615         86.338462   \n",
              "std                      219.492292   162.497866         40.551729   \n",
              "min                       44.000000    56.000000         25.000000   \n",
              "25%                      305.000000   212.000000         54.000000   \n",
              "50%                      466.000000   308.000000         69.500000   \n",
              "75%                      719.000000   494.000000        130.000000   \n",
              "max                     1047.000000   595.000000        171.000000   \n",
              "\n",
              "       Sexual Harassment  Use of criminal force to women    Stalking  \\\n",
              "count         130.000000                      109.000000  130.000000   \n",
              "mean           28.469231                       48.541284  204.284615   \n",
              "std            21.507954                       31.450588  104.660117   \n",
              "min             1.000000                       14.000000   15.000000   \n",
              "25%             9.000000                       26.000000  123.000000   \n",
              "50%            17.500000                       26.000000  133.000000   \n",
              "75%            57.000000                       91.000000  248.000000   \n",
              "max            64.000000                       99.000000  406.000000   \n",
              "\n",
              "       Other Assault on Women      Safety  \n",
              "count              131.000000  140.000000  \n",
              "mean               147.114504    1.800000  \n",
              "std                227.823165    1.188676  \n",
              "min                  0.000000    0.000000  \n",
              "25%                 37.000000    1.000000  \n",
              "50%                 37.000000    2.000000  \n",
              "75%                 68.000000    3.000000  \n",
              "max                665.000000    3.000000  "
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Nearest metro station distance (in km)</th>\n",
              "      <th>No. of Crime</th>\n",
              "      <th>Nearest police chowki (in km)</th>\n",
              "      <th>Population Density</th>\n",
              "      <th>Rape</th>\n",
              "      <th>Kidnapping &amp; Abduction_Total</th>\n",
              "      <th>Acid attack</th>\n",
              "      <th>Assault on Women</th>\n",
              "      <th>Sexual Harassment</th>\n",
              "      <th>Use of criminal force to women</th>\n",
              "      <th>Stalking</th>\n",
              "      <th>Other Assault on Women</th>\n",
              "      <th>Safety</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>140.000000</td>\n",
              "      <td>130.000000</td>\n",
              "      <td>140.000000</td>\n",
              "      <td>1.390000e+02</td>\n",
              "      <td>130.000000</td>\n",
              "      <td>130.000000</td>\n",
              "      <td>130.000000</td>\n",
              "      <td>130.000000</td>\n",
              "      <td>130.000000</td>\n",
              "      <td>109.000000</td>\n",
              "      <td>130.000000</td>\n",
              "      <td>131.000000</td>\n",
              "      <td>140.000000</td>\n",
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              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>21.652979</td>\n",
              "      <td>1539.053846</td>\n",
              "      <td>28.817171</td>\n",
              "      <td>1.544044e+06</td>\n",
              "      <td>166.984615</td>\n",
              "      <td>502.646154</td>\n",
              "      <td>361.384615</td>\n",
              "      <td>86.338462</td>\n",
              "      <td>28.469231</td>\n",
              "      <td>48.541284</td>\n",
              "      <td>204.284615</td>\n",
              "      <td>147.114504</td>\n",
              "      <td>1.800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>101.214698</td>\n",
              "      <td>762.117952</td>\n",
              "      <td>118.932993</td>\n",
              "      <td>1.031461e+06</td>\n",
              "      <td>82.936511</td>\n",
              "      <td>219.492292</td>\n",
              "      <td>162.497866</td>\n",
              "      <td>40.551729</td>\n",
              "      <td>21.507954</td>\n",
              "      <td>31.450588</td>\n",
              "      <td>104.660117</td>\n",
              "      <td>227.823165</td>\n",
              "      <td>1.188676</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.044000</td>\n",
              "      <td>193.000000</td>\n",
              "      <td>0.044000</td>\n",
              "      <td>1.160000e+05</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>44.000000</td>\n",
              "      <td>56.000000</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.650750</td>\n",
              "      <td>857.000000</td>\n",
              "      <td>0.700000</td>\n",
              "      <td>5.823200e+05</td>\n",
              "      <td>91.000000</td>\n",
              "      <td>305.000000</td>\n",
              "      <td>212.000000</td>\n",
              "      <td>54.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>26.000000</td>\n",
              "      <td>123.000000</td>\n",
              "      <td>37.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>1.300000</td>\n",
              "      <td>1270.500000</td>\n",
              "      <td>1.600000</td>\n",
              "      <td>1.674714e+06</td>\n",
              "      <td>128.000000</td>\n",
              "      <td>466.000000</td>\n",
              "      <td>308.000000</td>\n",
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              "      <td>17.500000</td>\n",
              "      <td>26.000000</td>\n",
              "      <td>133.000000</td>\n",
              "      <td>37.000000</td>\n",
              "      <td>2.000000</td>\n",
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              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>3.200000</td>\n",
              "      <td>2005.000000</td>\n",
              "      <td>4.800000</td>\n",
              "      <td>2.543243e+06</td>\n",
              "      <td>234.000000</td>\n",
              "      <td>719.000000</td>\n",
              "      <td>494.000000</td>\n",
              "      <td>130.000000</td>\n",
              "      <td>57.000000</td>\n",
              "      <td>91.000000</td>\n",
              "      <td>248.000000</td>\n",
              "      <td>68.000000</td>\n",
              "      <td>3.000000</td>\n",
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              "      <td>600.000000</td>\n",
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              "      <td>280.000000</td>\n",
              "      <td>1047.000000</td>\n",
              "      <td>595.000000</td>\n",
              "      <td>171.000000</td>\n",
              "      <td>64.000000</td>\n",
              "      <td>99.000000</td>\n",
              "      <td>406.000000</td>\n",
              "      <td>665.000000</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"#Describes statistical values and details of the given dataset\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"Nearest metro station distance (in km)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 205.68147181153077,\n        \"min\": 0.044,\n        \"max\": 600.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          21.65297857142857,\n          1.3,\n          140.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"No. of Crime\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 900.4212239894607,\n        \"min\": 130.0,\n        \"max\": 2762.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          1539.053846153846,\n          1270.5,\n          130.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nearest police chowki (in km)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 205.1122105584635,\n        \"min\": 0.044,\n        \"max\": 600.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          28.81717142857143,\n          1.6,\n          140.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Population Density\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1248287.1470818552,\n        \"min\": 139.0,\n        \"max\": 3656539.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          1544043.6834532374,\n          1674714.0,\n          139.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rape\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 84.0446665182419,\n        \"min\": 20.0,\n        \"max\": 280.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          166.98461538461538,\n          128.0,\n          130.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Kidnapping & Abduction_Total\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 331.6004639514002,\n        \"min\": 44.0,\n        \"max\": 1047.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          502.6461538461538,\n          466.0,\n          130.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Acid attack\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 186.22467285652485,\n        \"min\": 56.0,\n        \"max\": 595.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          361.38461538461536,\n          308.0,\n          130.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Assault on Women\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 50.90275748838551,\n        \"min\": 25.0,\n        \"max\": 171.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          130.0,\n          86.33846153846154,\n          69.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Sexual Harassment\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 42.12088315830482,\n        \"min\": 1.0,\n        \"max\": 130.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          28.46923076923077,\n          17.5,\n          130.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Use of criminal force to women\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 37.99280940519264,\n        \"min\": 14.0,\n        \"max\": 109.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          109.0,\n          48.54128440366973,\n          91.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Stalking\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 117.36742676630828,\n        \"min\": 15.0,\n        \"max\": 406.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          204.2846153846154,\n          133.0,\n          130.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Other Assault on Women\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 215.41269575950835,\n        \"min\": 0.0,\n        \"max\": 665.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          131.0,\n          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            }
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()\n",
        "#Describes the non-null values and the data-types"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WemI-lnSeupq",
        "outputId": "7a379292-ee0c-4ec0-f284-f32b68ff484d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 140 entries, 0 to 139\n",
            "Data columns (total 15 columns):\n",
            " #   Column                                  Non-Null Count  Dtype  \n",
            "---  ------                                  --------------  -----  \n",
            " 0   Street name                             140 non-null    object \n",
            " 1   Nearest metro station distance (in km)  140 non-null    float64\n",
            " 2   Type of road                            140 non-null    object \n",
            " 3   No. of Crime                            130 non-null    float64\n",
            " 4   Nearest police chowki (in km)           140 non-null    float64\n",
            " 5   Population Density                      139 non-null    float64\n",
            " 6   Rape                                    130 non-null    float64\n",
            " 7   Kidnapping & Abduction_Total            130 non-null    float64\n",
            " 8   Acid attack                             130 non-null    float64\n",
            " 9   Assault on Women                        130 non-null    float64\n",
            " 10  Sexual Harassment                       130 non-null    float64\n",
            " 11  Use of criminal force to women          109 non-null    float64\n",
            " 12  Stalking                                130 non-null    float64\n",
            " 13  Other Assault on Women                  131 non-null    float64\n",
            " 14  Safety                                  140 non-null    int64  \n",
            "dtypes: float64(12), int64(1), object(2)\n",
            "memory usage: 16.5+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "d = pd.DataFrame(df['Safety'].value_counts())\n",
        "fig = px.pie(d, values='Safety', names = ['Areas in safety level - 0', 'Areas in safety level - 1', 'Areas in safety level - 2', 'Areas in safety level-3'], hole = 0.5, opacity = 0.8, labels = {\"Label\":\"Potability\",\"Potability\":\"Number of Samples\"})\n",
        "fig.update_layout(title = dict(text = \"Pie Chart of Safety Feature\"))\n",
        "fig.update_traces(textposition = \"outside\", textinfo = \"percent+label\")\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "7BT9JQ9MfEGm",
        "outputId": "d70f9d39-1ce2-4912-ab05-c3b63da01b8d"
      },
      "execution_count": null,
      "outputs": [
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          "metadata": {}
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    {
      "cell_type": "markdown",
      "source": [
        "# Correlation between the features\n"
      ],
      "metadata": {
        "id": "6DaKBoZOfL0n"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.corr()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 772
        },
        "id": "QV7e2fITfHuk",
        "outputId": "d40d0416-a311-4df2-c9ad-411ab535418d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-34-2f6f6606aa2c>:1: FutureWarning:\n",
            "\n",
            "The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "\n"
          ]
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                        Nearest metro station distance (in km)  \\\n",
              "Nearest metro station distance (in km)                                1.000000   \n",
              "No. of Crime                                                          0.180653   \n",
              "Nearest police chowki (in km)                                         0.882370   \n",
              "Population Density                                                    0.163385   \n",
              "Rape                                                                  0.192133   \n",
              "Kidnapping & Abduction_Total                                          0.167571   \n",
              "Acid attack                                                           0.197691   \n",
              "Assault on Women                                                      0.096145   \n",
              "Sexual Harassment                                                     0.207833   \n",
              "Use of criminal force to women                                        0.273354   \n",
              "Stalking                                                              0.174106   \n",
              "Other Assault on Women                                                0.092562   \n",
              "Safety                                                               -0.173044   \n",
              "\n",
              "                                        No. of Crime  \\\n",
              "Nearest metro station distance (in km)      0.180653   \n",
              "No. of Crime                                1.000000   \n",
              "Nearest police chowki (in km)               0.170019   \n",
              "Population Density                          0.909085   \n",
              "Rape                                        0.985978   \n",
              "Kidnapping & Abduction_Total                0.853862   \n",
              "Acid attack                                 0.992782   \n",
              "Assault on Women                            0.918119   \n",
              "Sexual Harassment                           0.815432   \n",
              "Use of criminal force to women              0.880619   \n",
              "Stalking                                    0.958863   \n",
              "Other Assault on Women                      0.749947   \n",
              "Safety                                     -0.759187   \n",
              "\n",
              "                                        Nearest police chowki (in km)  \\\n",
              "Nearest metro station distance (in km)                       0.882370   \n",
              "No. of Crime                                                 0.170019   \n",
              "Nearest police chowki (in km)                                1.000000   \n",
              "Population Density                                           0.144647   \n",
              "Rape                                                         0.173277   \n",
              "Kidnapping & Abduction_Total                                 0.140104   \n",
              "Acid attack                                                  0.179138   \n",
              "Assault on Women                                             0.106963   \n",
              "Sexual Harassment                                            0.166463   \n",
              "Use of criminal force to women                               0.219883   \n",
              "Stalking                                                     0.170502   \n",
              "Other Assault on Women                                       0.116338   \n",
              "Safety                                                      -0.091116   \n",
              "\n",
              "                                        Population Density      Rape  \\\n",
              "Nearest metro station distance (in km)            0.163385  0.192133   \n",
              "No. of Crime                                      0.909085  0.985978   \n",
              "Nearest police chowki (in km)                     0.144647  0.173277   \n",
              "Population Density                                1.000000  0.904090   \n",
              "Rape                                              0.904090  1.000000   \n",
              "Kidnapping & Abduction_Total                      0.886640  0.901758   \n",
              "Acid attack                                       0.924429  0.994001   \n",
              "Assault on Women                                  0.833611  0.885382   \n",
              "Sexual Harassment                                 0.809360  0.888412   \n",
              "Use of criminal force to women                    0.793763  0.891025   \n",
              "Stalking                                          0.829754  0.912872   \n",
              "Other Assault on Women                            0.545539  0.651473   \n",
              "Safety                                           -0.706502 -0.743278   \n",
              "\n",
              "                                        Kidnapping & Abduction_Total  \\\n",
              "Nearest metro station distance (in km)                      0.167571   \n",
              "No. of Crime                                                0.853862   \n",
              "Nearest police chowki (in km)                               0.140104   \n",
              "Population Density                                          0.886640   \n",
              "Rape                                                        0.901758   \n",
              "Kidnapping & Abduction_Total                                1.000000   \n",
              "Acid attack                                                 0.887315   \n",
              "Assault on Women                                            0.792620   \n",
              "Sexual Harassment                                           0.938919   \n",
              "Use of criminal force to women                              0.810125   \n",
              "Stalking                                                    0.687101   \n",
              "Other Assault on Women                                      0.306258   \n",
              "Safety                                                     -0.647895   \n",
              "\n",
              "                                        Acid attack  Assault on Women  \\\n",
              "Nearest metro station distance (in km)     0.197691          0.096145   \n",
              "No. of Crime                               0.992782          0.918119   \n",
              "Nearest police chowki (in km)              0.179138          0.106963   \n",
              "Population Density                         0.924429          0.833611   \n",
              "Rape                                       0.994001          0.885382   \n",
              "Kidnapping & Abduction_Total               0.887315          0.792620   \n",
              "Acid attack                                1.000000          0.882539   \n",
              "Assault on Women                           0.882539          1.000000   \n",
              "Sexual Harassment                          0.865775          0.667311   \n",
              "Use of criminal force to women             0.916661          0.559767   \n",
              "Stalking                                   0.935609          0.844167   \n",
              "Other Assault on Women                     0.681195          0.728832   \n",
              "Safety                                    -0.760972         -0.647888   \n",
              "\n",
              "                                        Sexual Harassment  \\\n",
              "Nearest metro station distance (in km)           0.207833   \n",
              "No. of Crime                                     0.815432   \n",
              "Nearest police chowki (in km)                    0.166463   \n",
              "Population Density                               0.809360   \n",
              "Rape                                             0.888412   \n",
              "Kidnapping & Abduction_Total                     0.938919   \n",
              "Acid attack                                      0.865775   \n",
              "Assault on Women                                 0.667311   \n",
              "Sexual Harassment                                1.000000   \n",
              "Use of criminal force to women                   0.879130   \n",
              "Stalking                                         0.662856   \n",
              "Other Assault on Women                           0.272515   \n",
              "Safety                                          -0.664310   \n",
              "\n",
              "                                        Use of criminal force to women  \\\n",
              "Nearest metro station distance (in km)                        0.273354   \n",
              "No. of Crime                                                  0.880619   \n",
              "Nearest police chowki (in km)                                 0.219883   \n",
              "Population Density                                            0.793763   \n",
              "Rape                                                          0.891025   \n",
              "Kidnapping & Abduction_Total                                  0.810125   \n",
              "Acid attack                                                   0.916661   \n",
              "Assault on Women                                              0.559767   \n",
              "Sexual Harassment                                             0.879130   \n",
              "Use of criminal force to women                                1.000000   \n",
              "Stalking                                                      0.905012   \n",
              "Other Assault on Women                                        0.845030   \n",
              "Safety                                                       -0.648639   \n",
              "\n",
              "                                        Stalking  Other Assault on Women  \\\n",
              "Nearest metro station distance (in km)  0.174106                0.092562   \n",
              "No. of Crime                            0.958863                0.749947   \n",
              "Nearest police chowki (in km)           0.170502                0.116338   \n",
              "Population Density                      0.829754                0.545539   \n",
              "Rape                                    0.912872                0.651473   \n",
              "Kidnapping & Abduction_Total            0.687101                0.306258   \n",
              "Acid attack                             0.935609                0.681195   \n",
              "Assault on Women                        0.844167                0.728832   \n",
              "Sexual Harassment                       0.662856                0.272515   \n",
              "Use of criminal force to women          0.905012                0.845030   \n",
              "Stalking                                1.000000                0.878264   \n",
              "Other Assault on Women                  0.878264                1.000000   \n",
              "Safety                                 -0.734788               -0.556750   \n",
              "\n",
              "                                          Safety  \n",
              "Nearest metro station distance (in km) -0.173044  \n",
              "No. of Crime                           -0.759187  \n",
              "Nearest police chowki (in km)          -0.091116  \n",
              "Population Density                     -0.706502  \n",
              "Rape                                   -0.743278  \n",
              "Kidnapping & Abduction_Total           -0.647895  \n",
              "Acid attack                            -0.760972  \n",
              "Assault on Women                       -0.647888  \n",
              "Sexual Harassment                      -0.664310  \n",
              "Use of criminal force to women         -0.648639  \n",
              "Stalking                               -0.734788  \n",
              "Other Assault on Women                 -0.556750  \n",
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              "      <th>Nearest metro station distance (in km)</th>\n",
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              "      <th>Nearest metro station distance (in km)</th>\n",
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              "      <th>Nearest police chowki (in km)</th>\n",
              "      <td>0.882370</td>\n",
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              "      <th>Population Density</th>\n",
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              "      <td>1.000000</td>\n",
              "      <td>0.904090</td>\n",
              "      <td>0.886640</td>\n",
              "      <td>0.924429</td>\n",
              "      <td>0.833611</td>\n",
              "      <td>0.809360</td>\n",
              "      <td>0.793763</td>\n",
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              "      <td>0.173277</td>\n",
              "      <td>0.904090</td>\n",
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              "      <td>0.994001</td>\n",
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              "      <td>0.924429</td>\n",
              "      <td>0.994001</td>\n",
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              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-cc349625-9592-4c99-9f1a-60ce86d0b607');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-6fa48a4c-b0ed-4c0f-a6eb-727b1c244297\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6fa48a4c-b0ed-4c0f-a6eb-727b1c244297')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6fa48a4c-b0ed-4c0f-a6eb-727b1c244297 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 13,\n  \"fields\": [\n    {\n      \"column\": \"Nearest metro station distance (in km)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.31883442672763446,\n        \"min\": -0.17304397404085237,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.09256151887913788,\n          0.27335437310975014,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"No. of Crime\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5125588270023865,\n        \"min\": -0.7591866218468174,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.749947021303922,\n          0.8806189333637393,\n          0.1806525234589858\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nearest police chowki (in km)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3123154527965137,\n        \"min\": -0.09111583992569525,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.11633827596535737,\n          0.21988257367547204,\n          0.8823696199334415\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Population Density\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.48542946492468436,\n        \"min\": -0.7065020783423137,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.5455387662012654,\n          0.7937632248534506,\n          0.16338478933601586\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rape\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5079814885740896,\n        \"min\": -0.7432784090484662,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.6514728647946871,\n          0.8910246334287824,\n          0.19213336234359757\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Kidnapping & Abduction_Total\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.47657727519033144,\n        \"min\": -0.6478952620764736,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.3062579917021405,\n          0.8101252807136361,\n          0.16757087752983482\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Acid attack\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.512894512482145,\n        \"min\": -0.7609721990898611,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.6811952794810152,\n          0.9166607105637458,\n          0.1976907326739512\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Assault on Women\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.46987069072422344,\n        \"min\": -0.6478878254968802,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.7288321345180286,\n          0.5597674120914548,\n          0.09614525994757468\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Sexual Harassment\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.46960224187704946,\n        \"min\": -0.6643102746735804,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.2725153375725502,\n          0.879129947309676,\n          0.20783273102192631\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Use of criminal force to women\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4588975574404356,\n        \"min\": -0.6486394378870831,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.8450302700117799,\n          1.0,\n          0.27335437310975014\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Stalking\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.49391075839549625,\n        \"min\": -0.7347880462485356,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.8782635534043076,\n          0.9050119569202003,\n          0.17410587514310416\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Other Assault on Women\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4282992710805143,\n        \"min\": -0.5567502028188542,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          1.0,\n          0.8450302700117799,\n          0.09256151887913788\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Safety\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.49177366824640045,\n        \"min\": -0.7609721990898611,\n        \"max\": 1.0,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          -0.5567502028188542,\n          -0.6486394378870831,\n          -0.17304397404085237\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.clustermap(df.corr(), cmap = \"coolwarm\", dendrogram_ratio = (0.1, 0.2), annot = True, linewidths = .8, figsize = (9, 10))\n",
        "plt.show()  #Displays the clustermap using Matplotlib"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 806
        },
        "id": "I82_aHfVfSU7",
        "outputId": "da9ebecb-c541-48fb-a8fd-453cd34f5175"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-35-4c24e9d824ec>:1: FutureWarning:\n",
            "\n",
            "The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x1000 with 4 Axes>"
            ],
            "image/png": 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5P3VmTR4REREREVV8fIQCERERERFRBcLmmkXwVXQs7RAK6JgRKHp/6FbZLHH3qi8nen/hYVopRiJdm+rKovcec0JLMRLpdi4wEb3vMjqwkJSl5/imvGOk0/CAUoxEulPbXETvy0M+locYm3W/UYqRSHb5aEPR+9b97pRiJNJd/NNN9L5x58ulGIl01042E71v2u1aKUYi3ZVjjUXvy0M+EhH922R8hEJ5LOWxuSYREREREVV8rMkjIiIiIiKqQGQq5GWXy0coEBERERERVXwyFvK+dRhERERERET0LchWyGN7TSIiIiIiojJJtkJeuRx4hYiIiIiIqOJjc00iIiIiIqIKRMaHobMmj4iIiIiIqCyS7REKLOQRERERERGVSXxOHhERERERUQUiW3PNLHbKIyIiIiIiKotkbK75rcMgIiIiIiKib0HGgVdYyiMiIiIiIiqLZHyEAjvl5UoQZmFzdjhuC5MgB6ChQAMj5IygKpCDXmM32Pw8FNq1qkLFzAh3eoxB2Ak/zMh8jydIEVtOO4E2xskbf9PYhEIh/I6twx3/Q0hNToClfU38z2MuDEyspM7z5vk/uHZmBz69fYqE2Aj0n7AOLrVbi6WZ5eEscV73PlPQpMPQQuPxPbgRN/yOICUpATZONdBn2CwYmVYu9HdcPrsffie9ER8bCfPKDug1xBNWdtVE30eEvsex3Svw+vl9ZGamw7l6I/Qa4gktHX1RmrNHt+Lpvav48DYQCgqK+M37eqHr/FK3lhpoXlsVaipyeBmcjp0n4xEWnSU1fdcWGujWQkNs2qeITHiuixSbZmuhiJ6tNGBbSRHZ2UBwaCZ+2xWNjMxihybSv5M+2jTWgbqqHJ6/TsGmfWEIicgodB49bQV4dDNErSrqUFYSICQiA+t2hSAoOA0AMGGgCVo10Bab597TJMxf/6HkAQIY8D9DuDfRgbqaPJ4FJWPj3lB8Ck8vdB59HQUM6mGE2lU1oKwkh5DwdKz2/oSgd6miNJVMlDC4hzGqOqhBXl6A4JA0eG16j4jokmdkecjH8hDjkL4W6NTGGBpq8nj8PAErt77Gx5BUqen3b64FUyOVAtOPnQnB6m1vAAA/j7JBbVcdGOgqIiU1G08CE7Bl9zsEf0wpMF9xePQ0Q4eWBtBQV8DTwESs2fEOH0PTpKbfs7YaTAyVC0w/fj4c6/4IBgB0bGmAlo30YWelBnU1eXQZeh9JydLPFUUZOsAKnduaQFNdAY+fxWP5xpf4ECL99x7aXg+mxgXz8ajvR6zcHCT6XMVRCyN+tIKLoxays4V4+ToRk+c+Rnp6yW7gDulnic6tTaCh/nk7bwnCh0K284EtblK28yes2vq6wPRls11Qv5YefvEKwLXb0SWKLVdZz0Miou+FD0P/SsuzQxAtzMIieXNkAlidFYr12WGYKm8KeXU1xD8KxHvvI3A7vEFsPneBNn6QyyuEKEPwzWO7eno7bl3Ygx7DvaBrUAkXj67FzuXDMeHXU1BUKnixAgAZaSkwsXBE7SbdsW/dBIlppq+5Ivb5xaOr8NkxC1Xc2hYaz8Xjf+DymX34cewi6BuZ49SB9diweBRmrfSRGs/dG2dxbNdv6DN8Nqzsq+GS7x5sWDwKc1afgKa2PtJSk7Fh8UiYV3bE+LnbAAC++zdgy9Lx+HnxHsjJyQEAsjIzULN+W1g7VMfNv44VGueXOjRWR5t6ath2LA6RMVno3lIDUwbq4pf1kYUWxj6EZWDZzhjR5/yPHbG1UMSUH3Vx6moS9vgmICtbCEsTRZkGNereVg8dW+hizc5QhEVlYEBnfcybUAnj5r9FRqbkBaqryWHJVEs8CUzGgvUfEJeYBTMjRSQmi1+g3H2aiLW7QkWfpS2vKD3a6aNzKz2s2vERYZEZ+KGrERZMtMToOa8KjXHZdCs8CkzGvDXBn2NUQuIXF80mhopYNt0KF67FYu+JCCSnZsHSTBnpGSWPszzkY3mIsV83c3TvaAqvtS8REp6Gof0ssXy2Czx+ui91u4yc9gjycnnnQGtLNaycVwX+N6JE0168SsKFK5EIj0iDpqYCBvexwPI5Lug7+m6Jn93ap7MJurUzwrJNbxESkYbBvcywZIYDhkx9ggwpMY6d+QyfTyc5MVqoYtlMR1y5lXecKyvL4Z+HcfjnYRyG9atUsqDyGdDDAj07mWPx6ucICUvFsAFWWLmgGn4Y84/UfBw++Z5YjDaV1bF6UXVcuhYhmlbFUQsr5lfDnsPBWL01CJlZQthba5R41Oz+3czRo6MZvNa+wKewVAzrXxnL51TFwAl3pcY3YuqDAtt51fxquHQ9qkDaXp3NgK+81Cjrefi9+Pj4YMqUKXjz5g3Gjx+P1atXl3ZIRFQK5IpOUlC2UFjuXt/De2Ea7gqTMUHeGI4CVVQRqGKUnBGuCBMQJcxExLkreDF3NcKOXywwrzIE0BUoiF5qAvlvGptQKMSNc7vQvPMoONdqBRNLR/QcsQQJseF4dq9gPLkcqjdFm54T4eLWRmoaTR1Dsdfz+3/B2rke9IwsCo3n0uk9cO8+HK51WsC8sgMGjluMuJgIPPznL6nz/XVqFxq26oEGLbrCtJIt+g6fDSUlVdy85AMAeB34AFHhn/DDmIUwt3SAuaUDfhy3CMGvn+LFk9ui5XTsPRYtO/0IM0v7QnKtIPcGajh5JRH3n6fhfVgmth6Ng46mPGo5FbzT+6WsbCAuMVv0SkwW3wf7t9PEhVvJ8L2ahI8RmQiNysLtp6nIlOGmf+eWujh0Jgq3HyXi3cc0rPYOhZ62AurX0JA6T4+2eoiMycDa3aF4+S4V4VEZePAsGaGR4jVCGRlCxMZniV5JybLdpe7SSg8HfCPx98NEvP2YhpU7PkJPRwENampKnadnOwNExmRijfcnvHibirDIDNwPSELoF7VWA7sa4c7jRPxxJByv36ciNCIDtx8mIi6h5BlZHvKxPMTYq5Mpdh/+gOv/xOD1u2T8uvYl9PWU0LiuntR54uIzER2bIXo1cNPFh5AUPHgaL0pz8kIYHgXEIzQiDS9fJ2H7vmAYGypLrF0rSvf2Rth7LAQ37sbiTXAKlm58C31dRTRy05EeY0ImYuLyXvVq6eBjaCoePksQpTl6Jhz7T4Ti2cukEseUX6//mWPXwXe49ncUXr1NwqJVz6Gvp4wm9Q2kzhMbnyGWjw3r6OPDpxTcfxInSjNhmC0On/yIPYff401wMt5/TMFf1yJKXKjv1ckcuw+9x7Xb0Xj9LhmL17zI2c719KXOk387N3TT+7yd48TS2Vmpo8//zLFk/csSxVQgxjKeh5JERERg9OjRsLS0hLKyMkxMTODu7o7r14vf+mTkyJHo2bMn3r9/j4ULFxZrHisrKxYGiSqY/8xz8tLS0pCWJt4UR1lZGcrKJb9AyPVMmAp1yMFekHfBX0OgBgGAQGEKGgqkX8D6CxPgnxkPHSigrkAdfeX0oSKQqcwtUUzEByTGRcK2SgPRNBU1TVSyccX7oIdwrd/xm6wnMS4SgQ8vo8dwr0LTRYV/RHxsJJxc64umqappwsquGt6+eAi3Ru0LzJOZmYH3r5+hbddhomlycnJwrFYPb148zEmTkQ6BQAAFRSVRGgVFZQgEcnj1/J7Y+krKUFceOpryePoqr0lhSpoQrz9mwM5CEX8/kd4syURfHqunGCIjU4ig9xk4dDEB0XE5F82a6nKws1DCzUepmDVMD0Z68giJzMLhiwl4GVx4s7v8jA0UoaetgIfPk0XTklOz8eJNKhytVXH1ToLE+eq6auB+QBKmDTNDFQdVRMdm4vTlWFy4Ln6xVdVBDTuX2SIpORuPApOx90QEEpJKdvFvbKAIPR1FPHiWmBdjSjYCX6fAyUYVV/6JlzhfveqauPc0ETNGVkJVBzVExWbgtH8Mzl2NBQAIBICbqwaOno3CgomWsLFQQVhkBg6dicStB5J/d6Exlod8LOMxmhorQ19XCXcfxoqmJSVn4dnLBFRx1MRfEmps8lNQEKBNU0McOvlJahoVZTm0b2mET6GpCI8qvMlvgRiNlKCvq4R7T/L2u6SULDx7lQQXew3434wpZO7PMcoL0LqxHg77hpVo3cVlZqwCAz1l/PMgL5ak5CwEvIhHVSct+F2NKGTuzzEqCNC2hTEO+OQ1udXRVkQVJy2cvxyGTctqwNxEFe8+JmPb7jd4FCD5OJTE1FgZ+npKuCNhO1d11MJf1yKlz/xFfG2aGeHgiY9i05WV5DBnsiNWb3uF6NiSnQ+/VNbzUJoePXogPT0dO3fuhI2NDcLCwuDn54eoqKKPHQBITExEeHg43N3dYWZm9tXxEFH5JVOpIitLWO5eXl5e0NbWFnt5eRVeMClKLDKhA/EaOHmBAJqQRyyk1yQ0l9PEz3Im+FXeAr3k9HBJmIAV2aFS08siMS7nT1ZDW/yuqoaWARLiiv5zK67713ygrKIOl9rSa/4AID42Jx7NfPFoausjPlbyn1difAyys7OgqSM+j5aOvmh5Vg6uUFJWxfG9q5CeloK01GQc270C2dlZojSy0tbIOTziEsUvdOMTs0TfSfL6Qzq2HYvDit0x2HkqHoa68pg5VB8qSjnNlIx0c/aZbi00cPluCpbvisG7TxmYPkgPxnolq9HV1cpJHxsv3nY0NiFT9J0kxgaKaNdUB58i0jFv7QecuRKL4b2N0KK+lijN/YAkrNkZgjmr32PnsQhUtVfFnHGVIFfClsW62gqfYxQ/JmITMqGjLf0+k4mhIjo018Wn8HTMWR2M0/4xGNHXBC0/9x3T1pSHmoo8erY3wN0niZi9+h1u3o/HL6NzCoUlirE85GM5iFFPJ+dmS3Sc+MV5TGwG9HSVJM1SQJO6etBQV8CZv8ILfNe1nQnO7K2Hc3/WR72aOvh5/lNklrD2RFdbMSemuHz5GJcBPR3FYi2jUR0daKgp4PyV4l14l1RuXsXE5s/H9GLnY9P6Of0NT/vl/beYm+TckBzSzwonz4Xg53mP8eJVIlYvqo5KpqrFjk//83aOiRMvYEfHphc7D5vU1Ze4nccPscaT5/Ey98HLVdbzUJLY2FhcvXoVS5cuRYsWLVC5cmXUrVsXnp6e+N///gcAWLlyJapVqwZ1dXVYWFhgzJgxSEzMuYHm7+8PTc2cm8stW7aEQCCAv78/AODatWto0qQJVFVVYWFhgQkTJiApKafGuXnz5nj37h0mTZoEgUAAgUCApKQkaGlp4fDhw2Ix+vj4QF1dHQkJJbuRRkT/vv9MTZ6npycmT54sNk1aLd6MGTOwdOnSQpe3Sd5K5ljayemI3lsJlKEHBczM/oAQYTpMBcX788nvwY2TOOE9T/T5x8mbZI6vJO5ePYrqDToV6FN34sQJzJ07FwCQmSXEaM8Nkmb/appaehg6eTkObF+Ey2f2QSCQQ+1G7WFh7QyBoGRXqA1cVTCoc96F78q9Rd/Rl+TRy7wLn/dhwOsPMVgx2RB1q6rgyr0U5IZ16U4yrt7PGQBg39kEuNgooWktVRy6mChpsQCAZnU0Mbq/iejzwo2yDYwhEAjw6l0q9hzPKQi/+ZCGymbKaNdEB5du5dyN/rJm6N2ndLz9mIatC21Q1UENjwKTJS4XAJrX08LYH/LuIM9fFyxzjEFvU7DrWM5F4Ov3qahsrowOzXTx1804yH3OyFsPEnD8Ys4F4Zv3aXC2VUP7Zrp48kJ6jOUhH8tDjK2bGuDnkbaizzMWP5Mpxi91aGWE2/diEBVTsBbnwpUI/PMwFvq6SujbxQzzpjhi3C+PC+2D2bKRHiYNyxvcaeayr2sCCADtmxvg9oM4iTHKok0zI0wd6yD6PG3B469eZsc2Jvj7bjSiovPOR7nnxONnQ3DaL6cW8uXrRNR21UHHNibYsuuN5PiaGuLnUXaiz9MXP/36+Fob4+97MYiKyYuvUR091Kqmg6E/3y/x8spqHpakFZGGhgY0NDTg4+OD+vXrS0wjJyeHtWvXwtraGq9fv8aYMWMwbdo0bNy4EQ0bNkRgYCAcHR1x5MgRNGzYEHp6enj16hXatWuHRYsWYceOHYiIiMC4ceMwbtw4/PHHHzh69CiqV6+OESNGYPjw4QAAdXV19O3bF3/88Qd69uwpWn/u59zCJBGVXf+Zh6HPmDGj2Gl/+eUXDBo0CADgX7VgM0IAMIEidKBQoMYuSyhEArIK1PAVxvFzc89PwgyZC3nONVvCwtZV9DkzI+dPKTEuCpo6RqLpifGRMLWUPDpmSb0NvIPIkDfoM2Zlge9atmyJ6tWrAwCuP08XxZMQFwVtXUNRuoS4KFSycpS4fA0tXcjJySMhX01ffGwUtHTy+lQ4V2+IeetOIzE+BnLy8lBT14Ln8BaobVyygQ/uP0/Dqw9561KUz/kz19aQE6vN09KQR3BI8S/uklOFCI3KEtXSxSbkLOtTuHhNwqeITOhpF77f3H6UiMC3b/NiVMiJUUdLATFf1JTpaCrgzQfpIwXGxGXifb6RBN+HpqNBTel9u8IiMxCXkAlTQ0U8CpQe498PEhH4+lVejIpyn2OUF6s90dFUwJv30pu8xsRlIDgkX4wh6WhUK6cgHp+YicxMId7nTxOaBhe7wmvyykM+locYr9+OxrMXeTclFBVzYtTTVkT0FwUgXR1FBL0pup+asaEyarvqYPay5xK/T0rOQlJyFj6GpCLgRQJO7aqLJvX04VdI88Cbd2PxPChv3bkx6moriDUH1NFWxKu30gu0uYwMlFCzmhbmr3xVZNriunY7CgEv7og+K30+ZnR1FMUKQbo6Sgh6Lf0mUC5jQ2W4VdfFTC/xwljust6+F98W7z4kw7iQvo3Xbkcj4EVewSv3mNbVVhIr6OrpKJVwO4vfFKhVTRtmJirw3dNAbPrCac549CweP82WXnArq3no5eWF+fPni02bO3cu5s2bVyCtgoICvL29MXz4cGzevBm1atVCs2bN0LdvX7i65vy/T5w4UZTeysoKixYtwqhRo7Bx40YoKSnByCjn/15PTw8mJiaiGAYMGCCa197eHmvXrkWzZs2wadMm6OnpQV5eHpqamqJ5AGDYsGFo2LAhQkJCYGpqivDwcJw+fRoXL0rv109EZYdsNXnfaSCT72nVqlUlSm9omFMQeVVIocsZKkhCNoKEqbD7XFB7KEyGEICjoPjNNl4j5wJMTyDT5gAAKKuqQ1lVXfRZKBRCQ9sArwJuwbRyTqEuNSURH14/Qt2WfWVez5fuXjkCM6sqMLV0KvBd7h1JAHgRmwahUAgtHQMEPv4blaxy0qckJ+Jt0GM0bttb4vIVFBRhYeOMwCd/o3rdlgCA7OxsvHjyN5q261dwnVq6AIDAJ38jMT4a1dyal+j3pKYLkRqdv0lhFlxslBAcmlM4UVEWwMZcEX/dLvpiMJeykgBGuvK48blwFxmbhZj4LJgYiG9vEwMFPHop/WIdyOkTmJJvuPzouEy4OqqJLvRVVeTgYK2Cs5/7rkny7HUKzIzF921zI0VEREkfMlRfRwGa6vKIiZeeJifGbKREiN8Iio7NQA0ndbx5nxejo40qzlyWXlsaEJSCSibiF03mxkoIj8r5/ZlZwMu3KTDP/zu+SCM9xvKQj+UgxtRsfAwVL6hHxaSjlqsOgj4XmNRU5eFsr4njZ4tukt6+pRFi4zNw627RtegC5PTLzC20FRZjSqr4cRUVk46aVbXw6l3K5xjl4GyrjpMXCjYRza9dMwPExmXg1v3YItMWV0pKFj6miJ97IqPT4FZdV1RoUlOVh4uDFnxOS++rmKtjaxPExKXj5j/iN8hCwlIREZUGS3PxmyAWZqqF5nlKahY+horHFxWdjtquOgh6mxefs70mfM6GFBlfh5bGiI3LwM074k0y9x79gFMXxfs57lxTC+v/eI0b/xTefLOs5mFJWhEBOX3yOnbsiKtXr+LWrVs4c+YMli1bhu3bt2PQoEG4ePEivLy88Pz5c8THxyMzMxOpqalITk6Gmprkm1sPHz7Eo0ePsHfvXtE0oVCI7OxsvHnzBs7Okm/81q1bF1WqVMHOnTsxY8YM7NmzB5UrV0bTpk2lxk9EZYdMffKE2cJy9/oeLATKqC1Qw7qsMAQKUxAgTMHm7HA0FWhCX6AAeXU1pDlXxhj5T7h9+zbUrCshwckChzXSESRMRZgwA39nJ2JlViiqQhXWAtkHgclPIBCgoftA+J/YjGf3/kLo+xc4snUGNHWM4Fwr77l3O5YOxq0LeSf+tNQkhLx7hpB3OXdYYyI+IOTdM8RGif8ppqYk4sntc3Br1hPFIRAI0KLDDzh7dCse3bmEj8EvsHv9TGjrGqJ6nZaidGsXDMPls3+KPrfsNBA3/I7glv9xhH54jQPbFyEtLQX1m3cVpbl5yQdvXjxEROh73L5yCr+vnIIWHX+EsZm1KE10ZAg+vH2OmMgQZGdn4cPb53j27JmoT4I0524m43/NNFDTURmVjBQwors2YhOycO953oXttEG6aF0378+1r7smHK0UYaAjDzsLRUzop4NsIXDrcd6zmU5fT0Kb+mpwc1GGkZ48urfUgKmBAq7cLfkzv07+FYPeHfRR11Udlc2UMNHDBNFxmbj1IO9u9YKfKqFDMx3R5xN+MXC0VkXPdnowMVRE0zqaaNtYB6c/F7pUlAUY1N0QDtYqMNJTgKujGn4ZbY6QiAzcCyh+ATfXcb9o9OloiLrVNVDZXBmTh5ghOjYTN+/nNRNcPLkyOrXQzZvnYhQcrVXRq4MBTA0V0ayuFto11YWvf97F3tHzUWhSRxvuTXRgaqiITi10UddVE6f9S96fpzzkY3mI8dCpEAzsWQkN6+jCxlINv0ywQ1R0ulgfq5XzXNCtvYnYfAJBTiHv7KVw5G8sYmqsjAHdzeFgow4jAyVUcdTE/KmOSEvPxq17sSWO8eiZcAzoaooGtbVhbaGK6aOtERWTget38pa1bKYDurQ1FJtPIADcm+njwpUoiY9t0NVWgG1lVZh9vjlhbaEK28qq0FQv+ejJh058hEcfSzSqqw+byuqYNdkJUdFpuHorr9Zy9SJXdO8oPriGQAB0aG2Cs3+FFchHANh39D16djZH84YGMDdVwbABVqhcSQ2nLhRdOBOL79RHDOxlgUZ19GBjqYaZPznkbOe/8wpFq+ZXRff2pgXia9/SCGf9C8YXHZuBN8HJYi8ACItIQ0h44TfAJMZYBvJQWVkZWlpaYq+iBnxTUVFBmzZtMHv2bNy4cQODBg3C3Llz8fbtW3Tq1Amurq44cuQI7t69iw0bcrpCpKdLH4AoMTERI0eOxIMHD0Svhw8f4uXLl7C1tZU6H5BTm+ft7Q0gp6nm4MGDS9wVgohKx3+mueb3MkXOFJuzwzEr6wMEEKChQAMj5XKaS2jXrgqn3xci2NoaycnJqLv8F2j+9CNWt2mHI7HPkQohDKCAhgIN9JWTPry4rJp0GIb0tBQc956L1OR4WNrXgseUrWL956LDg5GUmHf38eObp9ixxEP0+cyfOX0TazbuKjaC5uNbpwEISzRKZ+sug5GWloI/tyxASnICbJ1qYswvm8TiiQz7gMT4vHhqN2yHxPgY+B7ciITYSJhbOWLsL5vEHnQe/uktTuxbg+TEOOgZmcO9+3C07Pij2Lp9D2zA35dPiD4vmZZTe7hr1y7Uq1dPasynryVBWUmAQf/TEj0MffnuGLFn5BnpKkBD/YumaVpyGN1TBxpqckhIysaL4HQs3BqFhC8eo3D+ZjIUFQTo314LGqoCBIdmYtnOaITHlHzo/6Pno6GiJMCY/iZQV5PDs1cpmL/ug9hw3iaGStDSyLvQDHqXCq/NH/FjV0P06aCPsMgMbD8Ujsv/5BS6srMBK3NltKivBXVVeUTHZeJBQBL2nows8UAXAHDkbBRUlOQw/kczqKvJIeBlMuasCc4XoyK0NPJOSS/fpmLxpvfw6GaEfp0MEBaZgW0HQuH/d94IdjfvJ2DjnhD0aq+PEX1N8DEsHb9ueo+AoJIXlstDPpaHGP889hGqynKYMsoWGp8fQD11YYBYvzkzExVoa4kP0FHbVRsmhso47VewNi09PRuuzlro2ckUmuoKiInLwMOAeIz1fIzYuJL3iztwMhQqynKYNMwKGmryeBKYiBlLXog9I8/MWBnamuIx1qqqBWNDZZzxl9w8tHNrIwzsmVdgWD0vp9XCsk1vSjxIy94j76GiIo9p4xxy8jEgDj/PFe9/aG6iCp18+ehWQxcmRirwvSC55vTQiY9QVpLD+GG20NJURNCbREya8wifQqU3nZZk37GPUFGRx5TRdqLtPGXhkyK3s5urTk58ft9nZNIvlfU8LC4XFxf4+Pjg7t27yM7OxooVK0TPgD148GCR89eqVQsBAQGws7OTmkZJSQlZWQX/f3744QdMmzYNa9euRUBAADw8PCTMTURlkUAoQ9tLjznfdiTIf8POBSZFJ5LAV1Fyf7HS1DEjr5PMoVtls8Ddq35eJfGFhyW/A/tvaFM9r3BZVvfpL/fbLqML6RxVio5vyjtGOg0PKMVIpDu1zUX0vjzkY3mIsVn3G6UYiWSXjzYUvW/d704hKUvPxT/dRO8bd75cipFId+1kM9H7pt2ulWIk0l051lj0vjzkY3FERUWhV69eGDJkCFxdXaGpqYk7d+5g/Pjx6NixIyZMmIAaNWpg9erV6Ny5M65fvw5PT098/PgRMTEx0NHRQWxsLHR1dXHp0iU0b94cAPDo0SPUr18fQ4YMwbBhw6Curo6AgABcuHAB69evBwC0bdsWqqqq2LhxI5SVlWFgkNfvfcCAATh8+DBatmyJM2fOfLP8IaLvizV5RERERKVMQ0MD9erVw6pVq/Dq1StkZGTAwsICw4cPxy+//AJVVVWsXLkSS5cuhaenJ5o2bQovLy8MHDiw0OW6urri8uXLmDlzJpo0aQKhUAhbW1v06dNHlGbBggUYOXIkbG1tkZaWJjb2wtChQ7Fv3z4MGTLku/12Ivr2/jOPUCAiIiIqq5SVleHl5VXoM3wnTZqESZMmiU378ce87gk6OjoSB8erU6cOzp8/L3W59evXx8OHDyV+9/HjR+jr66NLly5F/QQiKkNkKuRlS2i3TUREREQVQ3JyMkJCQrBkyRKMHDkSSkqyPeKJiEqHTKNrZmcLy92LiIiIiIpn2bJlcHJygomJCTw9PUs7HCIqIdkeoSAUlrsXERERERXPvHnzkJGRAT8/P9Fzb4mo/JCtuWYmB14hIiIiIiIqi2Qr5AlZyCMiIiIiIiqLWJNHRERERERUgcj2CAX2cSMiIiIiIiqTZHsYeiYfoUBERERERFQWyViTx+aaREREREREZZFshTw+d46IiIiIiKhMkq25ZhabaxIREREREZVFrMkjIiIiIiKqQGR8hAJr8oiIiIiIiMoigVCG5yG06nv7e8TyXfntr1vaIRAREREREX13fIQCERERERFRBcI+eURERERERBUIn5NXhEO3yt5v7VVfTvTeV9GxFCORrmNGoOj93RaNSjES6Wpfui56/+JVcClGIp2DraXo/YcXT0oxEukqOVQVvQ8PuFOKkUhn5OImeh9372IpRiKddq3WovflYX/8+OJxKUYimblDNdH78nC8fAp8VIqRSGfm6Cp6H/r8filGIp2JU03R+7Bnd0sxEumMnWuXdghE9B/GgVeIiIiIiIgqEJkKeXXsfLBq1apvHQsRERERERF9JbmikxAREREREVF5wUIeERERERFRBcJCHhERERERUQXCQh4REREREVEFwkIeERERERFRBcJCHhERERERUQXCQh4REREREVEFwkIeERERERFRBcJCHhERERERUQXCQh4REREREVEFwkIeERERERFRBaJQ2gGUV0KhEH7H1uGO/yGkJifA0r4m/ucxFwYmVlLnefP8H1w7swOf3j5FQmwE+k9YB5farcXSzPJwljive58paNJh6Lf8CQAAvcZusPl5KLRrVYWKmRHu9BiDsBN+33w9khh27Q7jPv2hqKeHlFdBCF67CsnPn0lNb9SjNwz/1w1KxsbIjItFzGV/fNy2GcKM9JwEcnIw8xgKvTZtoainj4zISESeO43Q3d7Fjsn35HEcPXIIMTHRsLa2xcjRY+Hg6CQ1/bWrl7Fn906Eh4XCzMwcg4YMg1udeqLvY2Ji4P3HNjy4dxeJSUmoWrUaRo4aCzPzSqI069etxsP79xAdHQUVFVU4u7jAY/AwWFhYFitmH98zOHj0OKJjYmFrbYXxI4fCycFeYtq374LhvXc/Xrx6jbDwCIwZNhg9unQSS9N/6CiEhUcUmPd/Hdrhp9HDixVTfkdPn8efPr6Ijo2DrZUlJg7zgIuDrcS0J87/hXP+1/A6+D0AwNHWGiMG9BFLf/nmPzh+7iICX71FfGIidqxcDHtrK5liy3Xo/GXsOXkRUXHxsLc0x5RBvVHFTvIyffyuw/fq33j94RMAwMnaEmP6/E8sfd1+YyXOO75/V/zYuU2R8ZTGvggAz58FYPfOPxAY+BxycnKwsbHF/EVeUFZWLjJmH98zOHD0xOd9sTLGjxwKZyn74pt37/Pti4PQM9++2G/oaIn7YpcO7jLvi9/6eAGAiKgobPPeg9t37yEtLR3mpiaY+tNYONrbyRTjMd+zOHAsLx8njBgiPR+D3+OPvQdEMY4dOgg9u3QUS5OVlYWdfx7CBf8riI6NhYGeHtxbNsePfXpAIBDIGOM57Pc5ieiYnGP6pxGD4ewg+fe+CX6PHfsO4cWr1wgNj8S4oQPR638dxNIkJ6fg930HcfXWP4iJi4O9tRXGDx8EZ3vJ5wlZHD19HvuPnRKdh34a7gEXKTGfPP8Xzl26KnYeGv5DH6npiYjKGtbkyejq6e24dWEPugyah1FzDkBJWQ07lw9HRnqa1Hky0lJgYuGIzj/Olppm+porYq9uQxdDIBCgilvb7/EzIK+uhvhHgXgyYf53Wb40ui1aodLo8QjZuQPPRgxB8qsg2C9bCQUdHcnpW7WB+YhR+LRrB5569Mfb35ZAt0UrmA8fKUpj0u8HGHbpiuC1K/HUoz8+bN0Ik74DYNi9Z7FiunrZH9u3bUG//j9g9bpNsLaxwZzZnoiNjZGY/lnAU/y29Fe0bdsOa9ZtQv0GjbB44Ty8e/sGQM6NgMUL5yIsJBQz5yzAmnWbYGhkjFm/TEdqaopoOXZ29vhp0hRs3PI75i/yglAoxJxZM5CVlVVkzJeuXsfm7d4Y2K83Nq/+DbbWlTF9zkLExMZJTJ+alg5TE2MM8/gBero6EtNsXLkUh3ZtF72WLZwDAGjWuEGR8Ujid+0m1v+xF4P6dMf2FYtgZ2WJnxcskRrjg6fP0LpJA6xdOBObl8yHkYE+fp6/BBFR0aI0KWmpqObsiFED+8oUU34Xbt7F6t1HMaxHB+z6dQbsK1fChCXrER2XIDH93Wcv4N7QDZtm/YTf50+Bsb4uxnutR3h0rCjN6U2/ir1mj/wBAoEALevWLDKe0toXnz8LwNzZnqhRqzZWrF6HlWvWo2PnLpCTK7ogcOnqdWzavhMD+/XCltXLYGtthelzFkndzmlpaTA1McZwjwFS98VNK5fg8K5totdvX7kvfo/jJSExET9NmwkFeXksmTcLOzasxqghHtDU0JApxr+uXsem33fCo28vbF21FLZWlTFt7uJC89HMxAgjBkrPxz+PHMfxM+cxYeRQ7NywGiM8BmD/seM4euqMjDHewIYdu+HRpye2rfSCrXVlTJnnVWg+mhkbYcSP/aXGuGz9Ftx58BgzJ43FH2t/Q52arvh5ziKx4/5r+F27iQ079mBQ3+7YvnIx7KwsMWW+9PPQ/ScBaNWkIdYsnIVNS3POQ1PmLflm8RAVZtCgQejateu/vt63b99CIBDgwYMHAAB/f38IBALExsb+67H8GwIDA2FiYoKEhJz/em9vb+hIuQ4trm+xDEn69u2LFStWlGgeFvJkIBQKcePcLjTvPArOtVrBxNIRPUcsQUJsOJ7duyh1PofqTdGm50S4uEm/i6+pYyj2en7/L1g714OekcX3+CmIOHcFL+auRthx6XF/D8a9+iDS9ySizp5G6ru3CF75G7JT06DfvuBdcgDQqFINiU8eI8bvAtLDQpFw5zZi/roAdae8mk/1KlURe/0q4m/dRHpYKGKv+CP+zm2oO7kUKyafY0fg3q49WrdtB0vLyhgz7icoKyvjwvlzEtOfOH4MtWrXQfeevWFhWRk/DBwEW1s7nDp5HADw6eNHBD5/htHjJsDBwRGVKllgzNgJSE9Px2X/S6LltGvfEVWrucLY2AR2dvb4YeBgREZEIDw8rMiYD/ucRAf31mjXuiWsLC0wccxIKCsr4+wFybWxTg52GDnEAy2bNoaioqLENDra2tDT1RW9bv1zF2amJqhetUqR8Uhy4MQZdG7TAh1bNYO1RSVMGTUEKsrK8PW7LDH9nElj0a19G9hbW6FyJTNMHzMc2cJs3H30VJSmXfMmGNynO9yqV5Uppvz2+fqha8uG6Ny8AWwqmWLG0L5QUVLCSf+bEtMvHDcYPds2hYOVBazMTTBzxAAIhUL88yRQlMZAR1vsdfnuI9R2sYe5sUGR8ZTWvrh96yZ0/l839OrdF5UrW6FSJQs0adoMiopKRcZ86PO+2P7zvjhpzAgoKyvjzIW/JKZ3crDDqCEDS7Qv3vzKffF7HC/7Dx+DoYEBpk0cBycHe5iaGMOtVg2YmZrIFOOh46fQsW0rtG/dAlaWFpg8ZgRUlJVw5qKUfLS3w6jBA9GyaSOpMT59HohG9dzQoE5tmBgboVmjBnCrUR3PXwTJFOPB477o1LYlOrRuDivLSvh59DCoKCvh9EV/iemd7W0xevAPaNW0IZQUCzYgSktLx5WbtzFqUH9Ur+KMSqYmGNyvF8xNTXD8zAWZYiwY82l0atsCHVo1h5VFJfw8emjh56HJ49CtQxvY21ihciVzTBs7AtlCIe4+evJN4pFk0KBBEAgEWLJkidh0Hx8fmWtc/035Cwj/ttIskMi6bml5tmbNGnh7e3+z+GTVsGFDhISEQFtbu8i05bFA6OnpifHjx0NTUxMA0KdPH7x48aKUo5Js1qxZWLx4MeLiJN+YkoSFPBnERHxAYlwkbKvk3U1WUdNEJRtXvA96+M3WkxgXicCHl1G7aY9vtsyyQKCgADUHR8Tf/SdvolCIhHt3oFFF8kV74tPHUHNwhNrnQp2SqRm06jVA3N+3RGmSnj6BZi03KFfKKRCr2tpBo6or4m/fkrjML2VkZCAo6AWq16glmiYnJ4caNWoh8HmAxHmePw9AjZq1xKbVrO2G55+bnGZkZOTEqpR3gSwnJwdFRUUEBEi+UEhNTcHFC+dgbGICAwPDImN+EfQKtaq7ii2/Vg1XBAR+m5NURkYGLl66gnatW8p0kZGRkYkXr96g9heFMTk5Obi5VsXTwJfFWkZaehoys7KgqaFe4vUXK8bMTDx/8x51quY1hZSTk0Odqk54/PJ1sZaRmpaOzMwsaGmoSfw+KjYe1+8/wf9aNCxyWenp6aWyL8bGxiAw8Dm0dXQw9eef8GP/XpgxbTKePi36ojZnX3yN2vn2xdo1qiEgMLCQOYsvd19s37qFjPvi9zlebty+A0c7W8xfshw9fhiMkT9Nge852QomonyskS/G6q54+lz2GKs4OeLeoyd4/zGneXHQm7d4EvAcdWsXXatcMMbcY7qaWIy1q1fDUxnzMSsrC1nZ2VDKV0hVVlLC42fPZVrml3JjdnMVPw/Vrl7S81AmtGSsoS0uFRUVLF26FDExkmvtvxehUIjMzMx/dZ2lJT09vbRDKJK2tvZ3qQ0qKSUlJZiYmJSLmwwlFRwcjFOnTmHQoEGiaaqqqjAyMiq9oApRtWpV2NraYs+ePcWeh4U8GSTGRQIANLT1xaZraBkgIa5g/xFZ3b/mA2UVdbjULrr/TnmioK0DgbwCMmPEm71kxERDUU9P4jwxfhfw6Y/tcFy7CbUuXEa1fYeQ+OA+QvfuEqUJ3bcbMX9dRJWd+1DrwmU4b/0D4UcOIvri+SJjio+PQ3Z2NnR1dcWm6+joIiZa8p9tbExMgZOwjo4uYj//rkoWFjA0NMLOP35HYkICMjIycPjQfkRGRiAmWvy3+546gV7dO6NX9//h7p1/sHDxUql35XPFxSd8jlk8Bl0dbUTHxBb5m4vj+q3bSExKgnurFjLNH5eQgKzsbOjluwuoq6OFKCnNpPLbtGs/DHR1v1mtXX6x8YmfY9QUm66nrYmo2PhiLWP9Ph8Y6GqjblXJfeZ8r/wNdRUVtKhTo8hlxcTElMq+GBoaAgD4c+8uuLu3x7yFXrC1s8csz2n49PFDoTHn7Yv5t7PON9wX//m6ffE7HS8hoWE4ceYczM1MsWT+bHRu3xbrt+7AOb9LRc8sLUad/PmojeivuDvev2dXtGzSEB5jJqJ1t74YMXEaevyvI9o0byJDjPHIkhajjPmopqaKKo722HXwKCKjopGVlY3z/lfxNPAFor5oAi2r3PNQ/pj1tIsf8+adf8JAV1fshlVxpKWlIT4+XuyVlia9W0fr1q1hYmICLy+vQpd77do1NGnSBKqqqrCwsMCECROQlJQk+n737t1wc3ODpqYmTExM0L9/f4SHh4u+z611OXPmDGrXrg1lZWVcu3YN2dnZ8PLygrW1NVRVVVG9enUcPnxYNF9MTAwGDBgAQ0NDqKqqwt7eHn/88QcAwNraGgBQs2ZNCAQCNG/eXGLsues+d+4catasCVVVVbRs2RLh4eE4c+YMnJ2doaWlhf79+yM5OVk0X2GxvX37Fi1a5JwbdHV1IRAIRBfvzZs3x7hx4zBx4kQYGBjA3d0dAHD58mXUrVsXysrKMDU1xYwZMwot6L579w6dO3eGrq4u1NXVUaVKFZw+fbrQdZ89exaNGzeGjo4O9PX10alTJ7x69Uq0TGl5lr+5ZlpaGiZMmAAjIyOoqKigcePG+OefvBvluXnq5+cHNzc3qKmpoWHDhggs4ibb7du3UbNmTaioqMDNzQ3379+XuK1ya+e+Rx7k1mYePXoULVq0gJqaGqpXr46bN8Vb0ly/fh3NmzeHmpoadHV14e7uLroZUtR+K8nBgwdRvXp1mJubi6blb2o5b9481KhRA7t374aVlRW0tbXRt29fUfPO4oiIiICbmxu6deuGtLQ0mfd/AOjcuTP2799f7HWzkPcFT09PTJo0qcD0BzdOYsGI2qJXVlbGvxLP3atHUb1BJygqFT3gQUWnUb0mTAcMRPDqFQgYMRivZntCu34DmPw4SJRGt3lL6LVuizeL5iFgxGC8XbIIxr37Qc+9fanErKCggF9mzcWnTx/Qr0939OzWCY8fPURttzoQCMQPveYtWmHNuk3wWroC5ubmWOq1qEzcbTxzwQ91a9eEgb7kwvf3tufICfhdu4nFMyZBWanoJoOlYefx87hw8y6WTR4BZSXJBfOTl2/CvVEdqd9/b8XZF4XZQgA5zYdbt20HW1s7DB8xGpUqVZLaTPTfdLqU90VphEIh7G1tMGzgANjb2qBTu7bo2LY1Tp4p+ubSv8X/2k1cvHwNs37+CVtXLcWMiWNx0OcEzvr5l3ZoIjMnjYVQCPQYMgZtev6AI6fOolWTRhAUoz/o9yY6D3lOLvF5yMvLC9ra2mKvwgpw8vLy+PXXX7Fu3Tp8+CD55sqrV6/Qrl079OjRA48ePcKBAwdw7do1jBs3TpQmIyMDCxcuxMOHD+Hj44O3b9+K1VjkmjFjBpYsWYJnz57B1dUVXl5e2LVrFzZv3oynT59i0qRJ+OGHH3D5ck6z1tmzZyMgIABnzpzBs2fPsGnTJhgY5DRBv337NgDg4sWLCAkJwdGjRwvNm3nz5mH9+vW4ceMG3r9/j969e2P16tXYt28ffH19cf78eaxbt04sL6XFZmFhgSNHjgDI6WcVEhKCNWvWiObduXMnlJSUcP36dWzevBkfP35Ehw4dUKdOHTx8+BCbNm3C77//jkWLFkmNd+zYsUhLS8OVK1fw+PFjLF26FBoaGoWuOykpCZMnT8adO3fg5+cHOTk5dOvWDdnZ2SXKs2nTpuHIkSPYuXMn7t27Bzs7O7i7uyM63w3jmTNnYsWKFbhz5w4UFBQwZMgQqb8nMTERnTp1gouLC+7evYt58+ZhypQpUtN/rzz4MvYpU6bgwYMHcHBwQL9+/USF7gcPHqBVq1ZwcXHBzZs3ce3aNXTu3Fk0dkFR+60kV69ehZubW6G/F8g53nx8fHDq1CmcOnUKly9fLtCkWpr379+jSZMmqFq1Kg4fPiw2gFlJ938AqFu3Lm7fvl3ojaIvcXTNL6SmpmLVqlUFpjvXbAkL27zmM5mfR3NMjIuCpk5etW5ifCRMLSWPjllSbwPvIDLkDfqMWflNlleWZMbFQpiVCQVd8Ys1RV09ZERL7tRuNmQ4os6fQ9TpkwCA1DevIaeigso/T0fonp2AUIhKo8Yi9M89iLnkJ0qjZGwC0/4/Ivpc4QMMaGlpQ05OrkATmdjYGOjq6UqcR0dXt0Db89jYGOh88bvs7B2wdv0WJCUlITMzA9raOvh54njY2YuPlKeurg51dXWYmVeCo5Mz+vXujps3rqGqs/SR3LS1ND/HLB5DTGyc1MENSiIsPBz3Hj7GPM+pMi9DW1MT8nJyiM7XhjwmNh76OoW38f/Txxd7j57EqvmesLMq3kijstDR0vgco/iduei4BOjraBU6755TF7HzxHms/2U87CubS0xz/3kQ3n0Kw+IJ0v9sv6Srq1sq+6Lu51p0C8vKYsupZGGJiIhwFCZvX8y/nWO/yb4YGh6Bew8fY75n4Rcghflex4uerg4qW4iPUGppYY4rN4puJi41xtj8+RgHva9ourXZezf69eiKlk0bAQBsrCojLDwS+w4fQ7tWzUsYoxbkpcX4FflobmqCtb/ORUpqKpKTU6Cvp4t5y1bDzNhY5mXmyj0P5Y85Oq7omP/0OYV9R05g5YJfYCvDecjT0xOTJ08Wm1bUSLXdunVDjRo1MHfuXPz+++8Fvvfy8sKAAQMwceJEAIC9vT3Wrl2LZs2aYdOmTVBRURG7uLexscHatWtRp04dJCYmQuOLJqcLFixAmzY5rYXS0tLw66+/4uLFi2jQoIFo3mvXrmHLli1o1qwZgoODUbNmTdHFsZWVlWhZhoY5XQz09fVhYlJ0n9RFixahUaOcfXLo0KHw9PTEq1evYGNjAwDo2bMnLl26hOnTpxcrNr3P5zAjI6MCLRvs7e2xbNky0eeZM2fCwsIC69evh0AggJOTEz59+oTp06djzpw5kJMrWAcSHByMHj16oFq1aqL155K27h49xLvb7NixA4aGhggICEDVqlWLlWdJSUnYtGkTvL290b59zk3rbdu24cKFC/j9998xdWref/TixYvRrFkzADkF+I4dOyI1NRUqKioFlrtv3z5kZ2fj999/h4qKCqpUqYIPHz5g9OjREuP4XnmQa8qUKejYMWdk4Pnz56NKlSoICgqCk5MTli1bBjc3N2zcuFGUvkqVnL7Zxdk3JHn37l2xCnnZ2dnw9vYW9dv78ccf4efnh8WLFxc6X2BgINq0aYNu3bph9erVBZq8lmT/z2VmZob09HSEhoaicmXx/2pJWJNXDMqq6tA3rix6GZnbQUPbAK8C8v7EU1MS8eH1I1jYVf8m67x75QjMrKrA1FL6kOnllTAzE8kvAqFV64uDSyCAZq3aSJTS/0dORRkQit/1EebeBfp84Mgpq+RNy5WdLfq+MIqKirCzc8Cjh3lNFbKzs/HwwX04Shm4xcnJBQ8fiDdteHD/HpycChb01dXVoa2tg08fPyAo6AXqNSisb5YQQghF/agKi9nBzhb3Hz0Wi/n+w0dwcXQodN7iOHvxEnS0tVC/Tm2Zl6GoqAAHW2uxQVOys7Nx9/ETVHGUPCQ8AOw9dhI7Dx3D8jnT4GRnIzXdt6CooAAnawuxQVOys7Nx52kgqtlLX/euExfw+9EzWDNjLFxspZ9sT1y6ASdrSzhUriQ1zZeUlJRKZV80NjaBnr4+PuarPfj08UORfRRy9kUb3Mu3L957+Bgujo6F/+BiOHvxr2+wL36f46Wqs5Oor1uuDx9DYGxUeJ9a6THa4N7DfPn46DGqOMkeY1paGuTynQfl5OQgFApliDH3mM47V+fE+ARVvsF5R1VFBfp6ukhITMQ/Dx6hUT3Zt3kuaeehe4+eFnoe2nf0JHYdPIbf5k6X+TykrKwMLS0tsVdxHkeydOlS7Ny5E8+eFXys0MOHD+Ht7Q0NDQ3Ry93dHdnZ2XjzJmdE3bt376Jz586wtLSEpqam6EI3ODhYbFlfXuQGBQUhOTkZbdq0EVv2rl27RM3rRo8ejf3796NGjRqYNm0abty4IVO+AICra97Nc2NjY6ipqYkVGoyNjUVNTIsTW2Fq1xbfj549e4YGDRqIXXg3atQIiYmJUmtQJ0yYILownzt3Lh49elTkel++fIl+/frBxsYGWlpaokJx/u1QmFevXiEjI0NUIAByzhV169YtsH98maempqYAINZM90u5tbdfFgBzC0nSfM88KCz23Jo8SWTdN1JSUiQWfvOzsrISFfByY5OWp18uu0mTJujevTvWrFkjsU9jSfb/XKqqqgBQoBmnNKzJk4FAIEBD94HwP7EZ+saVoWtYCX5H10JTxwjOtfKee7dj6WC41GqN+m0GAADSUpMQHZa3U8dEfEDIu2dQ1dCGjr6ZaHpqSiKe3D6H9v2mffffIq+uBnW7vLuTataVoFXdCenRcUh9H/Ld1ht26ACsZsxE0ovnSH4WAKOevSGnooKos74AACvPWUiPiMSn7ZsBAHE3rsO4V18kv3yBpGcBUDavBLMhwxF783pOQQ5A7M3rMP3BA+nhYUh98wZq9g4w6tUHUWd8ixVT1249sGrlMtjZO8DBwRHHjx9DaloqWrfJab+/cvlS6OsbwGNwzvMK/9elGzyn/4xjRw/BrU49XL3sj6CXLzBu/ETRMq9dvQxtbR0YGhrh7ds32LZlI+rVb4hanwu4oSEhuHrFHzVr1YaWtg6iIiNw+NB+KCspwa1O3SJj7tm1M5auWgcHO1s4OdjjyPFTSE1Ng3vrlgCAJSvXwkBfD8M8fgCQ04Tn3fucP7DMzExERkUh6PUbqKqowNzMVLTc7OxsnL34F9q2bA55efli5Z80ff7XHr+u3QInW2s429vi0KmzSElNQ4dWORcdi9ZsgoGeLkb9mPM4hL1HT+L3Pw9jzuSxMDEyRNTnmhdVFRWoqeackOMTEhEWGYnIz/11gj/m7Kt6OjrQl6E2oX/HVpi/aRecbSxRxc4K+8/8hZS0NHRqVh8AMHfjThjp6mBsvy4AgJ0nzmPrIV8sHDcIpoZ6iPxcQ6Cmogy1L/40EpNT4Pf3ffw0oHuJ4imNfVEgEKB7j97Yt2cnrG1sYG1ji78uXsCHD+8xY+acImPu1bUzlqxaD0c7Wzg52OHIcV+kpqahXeucfhpeK9fCQF8fwz1yzocF98XoQvbFS99kX/wex0uPLp0xYdov2HvwCJo3bojnL4Lge+4CJo0bJVOMvbp0wpLVG+BgZwtnBzscPvE5Hz/3Rfx11ToY6ulJz8fogjE2qFMbew4dhZGhAawtLfDy9RscOn4S7T//7pLq3aUjvNZsgpOdDZzs7XD45GmkpKahfeucY3rxqg0w1NfDiIH9PseYibefY8zIyEJkVDRevn4LVVUVVPo8Cuntew8hhBCW5mb4EBKKzd57YWluhg4lrGmUHnMHeK3ZDEc7m5zz0MkzSElNFZ2HFq/eCAN9PYwUnYdOYMe+w5g9eZzU89D31LRpU7i7u8PT07NAM8vExESMHDkSEyZMKDCfpaUlkpKS4O7uDnd3d+zduxeGhoYIDg6Gu7t7gW4A6up5A1olJiYCAHx9fcX6KQF5tY/t27fHu3fvcPr0aVy4cAGtWrXC2LFjsXz58hL/xi/7nQsEggL90AUCgahJX3FiK8yXv1NWw4YNg7u7u6gpnZeXF1asWIHx48dLnadz586oXLkytm3bBjMzM2RnZ6Nq1arfrTtG/jwFUKBZ5Nf4nnlQWOy5hRtJZN03DAwMijXAUWH7pTTKyspo3bo1Tp06halTpxaIK/9yi9r/c+U2z82tAS4KC3kyatJhGNLTUnDcey5Sk+NhaV8LHlO2ivWfiw4PRlJi3g708c1T7FjiIfp85s+lAICajbuix/C8NvqPb50GIIRrffEH2n4P2rWrooHfbtFnl+W/AADe7zqKR0M9v9t6Yy75QUFbB2aDhn1+GPpLvJz+MzI/H3BKRsaiPkIAELI7p0mm2dARUDIwRGZsDGJvXsen7VtFad6vXQWzIcNh+dMUKOrq5jwM/eRxhOz6o1gxNWnWHHHxsdi7eydiYmJyHgK94FfRABgREeFi/UOcXapgyjRP7NnljV3ef8DM3BwzZ89DZStrUZro6Gj8vm1LTlM7XT20bNUGffoNEH2vqKSIp08f48Txo0hMTISOji6qVK2GZSvWQEdHctO8L7Vo0ghxcXHw3rsfMTGxsLWxxpL5s0RNkMIjIsXuIEVFx2DkT3lN3g4eO4GDx06getUqWOm1QDT93oNHCI+IRLs2ku+clUSrxg0QG5+A3/cfRnRMHOysK2P5nOnQ+9xcMywiSixGn7MXkZGZidnL1ogtZ3Cf7hjSN6fZx7V/7sJrXd62n7difYE0JdGmQW3ExCdg6+FTiIpNgENlc6yZMVbUXDMsMkasJuTohavIyMzEjNXbxZYzrEcHjOiZd9xeuHkXQqEQ7o2KbhLypdLYFwGgS9fuSE9Px/atm5GQkABrGxssWLwUpqZmKEqLJo0QGxePP0T7ohWWzp8pti/KfdEXNSo6BiN+ymtmlLcvumDVF/vi3c/7Yvs2shVI8sf4rY8XJwc7zP9lGn7ftRe79x+CqbERxgwfjNbNm8oUY8smjRAXFw/vfQdyHoZuY4Wl8/Lno3iMwyfm3RA8cOwkDhw7iepVXbD615znn04YMRQ79u7Hms3bERMXBwM9PXRu1wYD+xTvGaIFY2yI2Ph47Nh3CNExsbCzrozf5s4QNSkNj4wUe7ZiZHQ0hk2aIfq83+cU9vucQo2qzlizeC4AIDE5Gdt2/4mIyGhoamqgWYO6GPZDXygofJvLlFaNGyA2Lh47/jwsinn53Bn5zkN5++fxMznnoTnLVostZ1Cf7hjST7Z8K6klS5agRo0acMxXG16rVi0EBATAzk5yc/7Hjx8jKioKS5YsgYVFzmjTd+7cKXJ9Li4uUFZWRnBwsNQmbkDOBaaHhwc8PDzQpEkTTJ06FcuXLxeN3lucZ7yWVHFiK8n6nZ2dceTIEQiFQtExf/36dWhqaqJSJemtLiwsLDBq1CiMGjUKnp6e2LZtG8aPHy9x3VFRUQgMDMS2bdvQpEnOIEfXrl0rccy2trai/oS5TfQyMjLwzz//iJrsysLZ2Rm7d+8Wa85561bRzcy/dR4Uh6urK/z8/DB/fsFnOhd3v82vZs2aCAiQPGL115KTk8Pu3bvRv39/tGjRAv7+/jAzK/p/tChPnjxBpUqVRP1gi8JCnowEAgFad5+A1t0L3knLNWWF+LOXbJzrYtHOgk0v8qvTojfqtOj91TEWR/SV2/BV/PrmVLKI8DmCCJ8jEr97MSnfXaHsLITs+qPQAlt2SjI+bFiDDxvWSE1TlE6du6JT564Sv/NaWvAhlI2bNEPjJtJPKv/r0g3/69JN6vf6+gaYt+DXEsf5pa6dOqBrpw4Sv/uy4AYAJsZG8DspOc+/5FarRrHSFVePDm3Ro0Nbid+tWzRL7POhrUVvvw4tm6FDy+KfzIujt3tz9HZvLvG7zXMmin0+vm5hsZbZrVVjdGvVWKZ4/u19MVev3n3Rq7dsD5nv1qk9unWSPNDRKgn74l8nCx/9DADq1KpRrHTF9T2OlwZ13dCgbskK8oUpLB9zC265TIyNcOnEoUKXp6aminHDB2Pc8MHfLMbuHduhe8d2Er/LLbjlMjU2wuXjhY8I17JxA7SU8SH3xdWjozt6dHSX+N3axbPFPh/ctva7xlIc1apVw4ABA7B2rXgs06dPR/369TFu3DgMGzYM6urqCAgIwIULF7B+/XpYWlpCSUkJ69atw6hRo/DkyRMsXFj0OUtTUxNTpkzBpEmTkJ2djcaNGyMuLg7Xr1+HlpYWPDw8MGfOHNSuXRtVqlRBWloaTp06BWfnnGbhRkZGUFVVxdmzZ1GpUiWoqKgU6/lqxVGc2CpXrgyBQIBTp06hQ4cOUFVVFet/+KUxY8Zg9erVGD9+PMaNG4fAwEDMnTsXkydPltgfDwAmTpyI9u3bw8HBATExMbh06ZLot0tat66uLvT19bF161aYmpoiODgYM2bMEFtmcfJMXV0do0ePxtSpU6GnpwdLS0ssW7YMycnJGDp0qMx52r9/f8ycORPDhw+Hp6cn3r59W2SN7PfIg+Lw9PREtWrVMGbMGIwaNQpKSkq4dOkSevXqBQMDgyL3DUnc3d0xbNgwZGVlfXUrEUnk5eWxd+9e9OvXDy1btoS/v3+x+qoW5urVq2jbVvK1lCTsk0dERERUBi1YsKBAky1XV1dcvnwZL168QJMmTVCzZk3MmTNHVFNgaGgIb29vHDp0CC4uLliyZEmxm1MuXLgQs2fPhpeXF5ydndGuXTv4+vqKhvpXUlKCp6cnXF1d0bRpU8jLy4uGdFdQUMDatWuxZcsWmJmZoUuXLt8wJ4qOzdzcHPPnz8eMGTNgbGwsNtpofubm5jh9+jRu376N6tWrY9SoURg6dChmzZoldZ6srCyMHTtWtG4HBwfRQCCS1i0nJ4f9+/fj7t27qFq1KiZNmoTffvtNbJnFzbMlS5agR48e+PHHH1GrVi0EBQXh3LlzBR61UxIaGho4efIkHj9+jJo1a2LmzJlYunRpofN8jzwoDgcHB5w/fx4PHz5E3bp10aBBAxw/flxU01/UviFJ+/btoaCggIsXL5Y4nuJSUFDAn3/+iSpVqogekyCr1NRU+Pj4YPjw4cWeRyCUoef1pEmTJI5CWd5J+l2Hbn27tszfSq/6eWXz0qqFK0rHjLxBLO62aFRIytJT+9J10fsXr4rfCfrf5GCb11/yw4uiH0pdGio55I2OFR5QdJOg0mDkklfLEnfv+53Qv4b2F/15y8P++PHF40JSlg5zh7wHdJeH4+VTYNGDFpQGM8e8AQFCn98vJGXpMXHKe5B72LO7pRiJdMbOXz9oDBF9Pxs2bMCJEydw7lzpPyaoKJs2bcKxY8dw/nzxH8/D5ppERERERPSfMnLkSMTGxiIhIUFsBM2ySFFRscBz84rCQh4REREREf2nKCgoYObMmaUdRrEMGzasxPOwTx4REREREVEFwkIeERERERFRBcJCHhERERERUQXCQh4REREREVEFwkIeERERERFRBcJCHhERERERUQXCQh4REREREVEFwkIeERERERFRBcJCHhERERERUQXCQh4REREREVEFIhAKhcKSzjRp0iSsWrXqe8RTqirq7yIiIiIiov8OhdIOoCienp5ITU39V9YVHh7+r6yHiIiIiIjoeynzhbzU1NR/rXZt0qRJ/8p6iIiIiIiIvpcyX8grbRceppV2CAW0qa4sen+3RaNSjES62peui977KjqWYiTSdcwIFL1/9fp1KUYina2Njej926AXpRiJdFZ2DqL3H148KcVIpKvkUFX0PuLp36UYiXSGVeqJ3ge9elOKkUhnZ2stev/xxeNSjEQyc4dqovfvggILSVl6KtvlnQ/LYh4C4vlYHmL8FPioFCORzszRtbRDIKL/MA68QkREREREVIGwkEdERERERFSBsJBHRERERERUgbCQR0REREREVIGwkEdERERERFSBsJBHRERERERUgbCQR0REREREVIGwkEdERERERFSBsJBHRERERERUgbCQR0REREREVIGwkEdERERERFSBsJBHRERERERUgbCQR0REREREVIEolHYA5YFQKITvwY244XcEKUkJsHGqgT7DZsHItHKh810+ux9+J70RHxsJ88oO6DXEE1Z21UTfR4S+x7HdK/D6+X1kZqbDuXoj9BriCS0dfVGas0e34um9q/jwNhAKCor4zft6sWI27Nodxn36Q1FPDymvghC8dhWSnz+Tmt6oR28Y/q8blIyNkRkXi5jL/vi4bTOEGek5CeTkYOYxFHpt2kJRTx8ZkZGIPHcaobu9ixXP19Br7Aabn4dCu1ZVqJgZ4U6PMQg74ffd1wsAJ0+exJHDhxETEwNrGxuMHj0ajo6OEtO+e/cOu3fvRtDLlwgPD8eIESPQtVs3sTQHDhzAjevX8eHDBygpKcHZxQVDhgxBpUqVZI7xxClfHD5yFNExMbCxtsaYUSPh5OggMe3bd++wa89eBAW9Qlh4OEYOH4buXbtIXfaBg4ewY+cudO3yP4weMVzmGH18z+Dg0eOIjomFrbUVxo8cCicHeykxBsN77368ePUaYeERGDNsMHp06SSWpv/QUQgLjygw7/86tMNPo2WL88iZi/jT5zSiY+Nga2WBScN+hIu9rcS0Jy5cwln/63gd/AEA4GhrhZEDeonSZ2ZmYuu+I7h17yE+hYVDXU0Nbq5VMPrH3jDQ05UpPgA4dfIEjhz5vD9a22DU6DGF7I9vsWf3bgQF5eyPw0eMRNeu4vvjk8ePceTIYQQFvUR0dDRmzZqDBg0byhyfj+8ZHDh64vN2rozxI4fCWcp2fvPufb7tPAg9823nfkNHS9zOXTq4y7ydT5zyxaEjx0THy9hRIwo5XoKxa89evPx8vIwaPrTQ42X/wcPYsXMXunXp/NXHS1nPx/IQ4zHfszhwLC/GCSOGSI8x+D3+2HtAFOPYoYPQs0tHsTRZWVnY+echXPC/gujYWBjo6cG9ZXP82KcHBAKBTDESEX0vrMkrhovH/8DlM/vQd/hsTPl1L5SUVbFh8ShkpKdJnefujbM4tus3tO85CtOXHoB5ZUdsWDwKCXFRAIC01GRsWDwSAoEA4+duw6SFO5GVmYEtS8cjOztbtJyszAzUrN8WTdr2Lna8ui1aodLo8QjZuQPPRgxB8qsg2C9bCQUdHcnpW7WB+YhR+LRrB5569Mfb35ZAt0UrmA8fKUpj0u8HGHbpiuC1K/HUoz8+bN0Ik74DYNi9Z7HjkpW8uhriHwXiyYT5331dX7p8+TK2bd2K/gMGYN26dbCxtsbsWbMQGxsrMX1aaipMTUwwePBg6OpKvpB/8vgxOnXujJWrVmHxr78iKzMTM2fORGpqqkwx+l+5iq3btmNA/37YsHY1bKytMXP2HOkxpqXB1MQEQwZ5QE9KjLkCX7yA79mzsLa2kim2XJeuXsfm7d4Y2K83Nq/+DbbWlTF9zkLExMZJTJ+alg5TE2MM8/gBero6EtNsXLkUh3ZtF72WLZwDAGjWuIFMMfpdu4X1f+zD4N5d8fvyBbCzssTkBb8hJjZeYvr7T56jdeP6WLfAE1u85sBYXx+T5/+GiKho0W948fotPHp1wY7lC7F42gQEfwrBdK9VMsUHAFcuX8a2bdvQv/8PWLtuPaxtbDB79sxCt7WJqQkGDR4idX9MTU2FtbU1Ro8ZK3NcuS5dvY5N23diYL9e2LJ6GWytrTB9ziKp2zlnXzTGcI8BUrfzppVLcHjXNtHrt6/czv5XrmLLtt/xQ/++2Lh2FWysrfDL7LmIKSwPTUwwZNDAYhwvL+F79ixsvsHxUtbzsTzE+NfV69j0+0549O2FrauWwtaqMqbNXVxojGYmRhgxUHqMfx45juNnzmPCyKHYuWE1RngMwP5jx3H01BmZYqSvY2VlhdWrV4s+CwQC+Pj4lFo8//b6vb29oSPlug4A/P39IRAIpP5H5PLz84OzszOysrIAAPPmzUONGjW+KrZvsQxJ6tevjyNHjnzz5VZULOQVQSgU4tLpPXDvPhyudVrAvLIDBo5bjLiYCDz85y+p8/11ahcatuqBBi26wrSSLfoOnw0lJVXcvOQDAHgd+ABR4Z/ww5iFMLd0gLmlA34ctwjBr5/ixZPbouV07D0WLTv9CDNLyXcfJTHu1QeRvicRdfY0Ut+9RfDK35Cdmgb99p0kpteoUg2JTx4jxu8C0sNCkXDnNmL+ugB1J2dRGvUqVRF7/Srib91EelgoYq/4I/7Obag7uRQ7LllFnLuCF3NXI+z4xe++ri8dO3YM7dq3R9u2bWFZuTLGjR8PZWVlnD9/XmJ6B0dHDB02DM2aN4eioqLENAsXLUKbNm1QuXJl2NjYYPLkyYgID8fLly9livHoMR+0a+cO9zatUdnSEhPGjYGyijLOnb8gMb2jgwOGDx2C5s2aSo0RAFJSUrD0txWYOH48NDU0ZIot12Gfk+jg3hrtWreElaUFJo4ZCWVlZZy9ILk21snBDiOHeKBl08ZSY9TR1oaerq7odeufuzAzNUH1qlVkinH/ybPo3KY5OrZqCmsLc0wdOQgqyso49ddliennThqN7u1bw966MipXMsP0MUORLczGnUcBAAANdTWsnjcdrRrVg6W5Kao62mHysIEIfPUWoRGRMsV47NhRtGvXDm3atoWlZWWMGzceKsrKOH/+nMT0Dg6OGDp0OJo1k74/utWpg4Eeg9CwYSOZYvrSoc/buf3n7TxpzAgoKyvjzAXJ50knBzuMGjKwRNv55ldu5yPHjqN9u7ai4+Un0fEi+dzi6GCPEUMHo0Uxjpclv63ApPHjoPGVx0t5yMdyEePxU+jYthXat24BK0sLTB4zAirKSjhzUUqM9nYYNXggWjZtJDXGp88D0aieGxrUqQ0TYyM0a9QAbjWq4/mLIJlizG/QoEEQCARYsmSJ2HQfH59yUVP49u1bCAQCPHjwoFTWHxISgvbt25fKusuihg0bIiQkBNra2oWmmzZtGmbNmgV5eXkAwJQpU+Dn9++0liqpWbNmYcaMGWKVISQdC3lFiAr/iPjYSDi51hdNU1XThJVdNbx98VDiPJmZGXj/+hkcq+XNIycnB8dq9fDm8zyZGekQCARQUFQSpVFQVIZAIIdXz+/JHK9AQQFqDo6Iv/tP3kShEAn37kCjSlWJ8yQ+fQw1B0eofS7UKZmaQateA8T9fUuUJunpE2jWcoNyJQsAgKqtHTSquiL+9i2JyyzvMjIyEPTypdidKDk5OdSoUQPPn0lv9lpSScnJAABNTc0Sz5uRkYGXQUGoVaO6WIw1a9RAwPPAr4pr/abNqFvHDbVq1viq5WRkZOBF0CvUqu4qFmOtGq4ICHzxVcv+ch0XL11Bu9YtZboQysjIxItXb+HmmncxKScnBzdXFzwNLN7FW1p6GjKzsqClqS41TWJyMgQCATTVpaeRHmMGgoJeokaNmmIx1qhRE88LaYb9b8nZzq9RO992rl2jGgICv25f/HIdFy9dQfvWLWTczjnHS818x3TNGtXx7Pnzr4pt3Tc9Xsp+PpabGGvkO+9Ud8XT57Kfd6o4OeLeoyd4//ETACDozVs8CXiOurVrFjFn8amoqGDp0qWIiYn5ZsssDqFQiMzMzH91nd+aiYkJlJWVSzuMMkNJSQkmJiaFHkPXrl3Dq1ev0KNHD9E0DQ0N6OvrS52nNLVv3x4JCQk4c4a158XBQl4R4mNz7rpraovv8Jra+oiPjZI4T2J8DLKzs6CpIz6Plo6+aHlWDq5QUlbF8b2rkJ6WgrTUZBzbvQLZ2VmiNLJQ0NaBQF4BmTHRYtMzYqKhqKcncZ4Yvwv49Md2OK7dhFoXLqPavkNIfHAfoXt3idKE7tuNmL8uosrOfah14TKct/6B8CMHEX1Rcq1WeRcfH4/s7OwCzdx0dHUR/Y3+fLOzs7Flyxa4uLjAyspK5hh1dMRj1NXR+aoLBP/LVxAU9ApDBnnIvIxccfEJn/NRR2y6ro42omNiv3r5AHD91m0kJiXBvVULmeaPS0hAVnY29HS0xKbr6WgjSkrTrvw27joAA11dsYLil9LS07Fp90G0blwf6mqqJY5RtK3z5aOOjg5iov/di0FJ8raz+B1jXR2db7id//mq7Sw6pvM1b/raGC9dvoKgoNcYOmigzMvIVR7ysVzFqJM/Rm1EF9F0rTD9e3ZFyyYN4TFmIlp364sRE6ehx/86ok3zJjIvM7/WrVvDxMQEXl5ehaa7du0amjRpAlVVVVhYWGDChAlISkoSfb979264ublBU1MTJiYm6N+/P8LDw0Xf5zblO3PmDGrXrg1lZWVcu3YN2dnZ8PLygrW1NVRVVVG9enUcPnxYNF9MTAwGDBgAQ0NDqKqqwt7eHn/88QcAwNraGgBQs2ZNCAQCNG/eXGLsuev29fWFq6srVFRUUL9+fTx58kQs3ZEjR1ClShUoKyvDysoKK1asKDRP8jeX/PDhA/r16wc9PT2oq6vDzc0Nf//9t+j748ePo1atWlBRUYGNjQ3mz59fZEF3x44dophMTU0xbtw4se8jIyPRrVs3qKmpwd7eHidOnBD7/vLly6hbt65o/hkzZojWeerUKejo6IiaTT548AACgQAzZswQzT9s2DD88MMPEmOLiIiAm5sbunXrhrS0tGI119y/fz/atGkDFRUV0bT8TS0HDRqErl27Yvny5TA1NYW+vj7Gjh2LjIyMQvPqS69evYKNjQ3GjRsHoVAoamp66tQpODo6Qk1NDT179kRycjJ27twJKysr6OrqYsKECaL8AAB5eXl06NAB+/fvL/a6/8tYyMvnxIkTqFmzpuiVlfV97mxpaulh6OTleHL3Mn4eWB9TBzVCSlICLKyd//VmGRrVa8J0wEAEr16BgBGD8Wq2J7TrN4DJj4NEaXSbt4Re67Z4s2geAkYMxtsli2Dcux/03Nk0QlYbN2zAu7dvxU7gpS08IgKbtm7D9Kk/Q0lJqegZyoAzF/xQt3ZNGOhLvonxve0+ehJ+1//Gr9MnQFlCnmVmZmLO8g2AUIgpIwf9+wFWEKdLeTtLknu8zJg6udwcL2UxH/MrqzH6X7uJi5evYdbPP2HrqqWYMXEsDvqcwFk/f6nzpKWlIT4+XuyVlia9P7+8vDx+/fVXrFu3Dh8+fJCY5tWrV2jXrh169OiBR48e4cCBA7h27ZpYgSMjIwMLFy7Ew4cP4ePjg7dv32LQoEEFljVjxgwsWbIEz549g6urK7y8vLBr1y5s3rwZT58+xaRJk/DDDz/g8uWcpuuzZ89GQEAAzpw5g2fPnmHTpk0wMDAAANy+ndPV5OLFiwgJCcHRo0cLzc+pU6dixYoV+Oeff2BoaIjOnTuLCg53795F79690bdvXzx+/Bjz5s3D7Nmz4e3tXegycyUmJqJZs2b4+PEjTpw4gYcPH2LatGmiZn5Xr17FwIED8dNPPyEgIABbtmyBt7c3Fi9eLHWZmzZtwtixYzFixAg8fvwYJ06cgJ2dnVia+fPno3fv3nj06BE6dOiAAQMGIDo656b7x48f0aFDB9SpUwcPHz7Epk2b8Pvvv2PRokUAgCZNmiAhIQH3798HkFMgNDAwgL+/v2j5ly9fllh4fv/+PZo0aYKqVavi8OHDxa7RvHr1Ktzc3IpMd+nSJbx69QqXLl3Czp074e3tXext8ejRIzRu3Bj9+/fH+vXrRde4ycnJWLt2Lfbv34+zZ8/C398f3bp1w+nTp3H69Gns3r0bW7ZsEbvJAAB169bF1atXi7Xu/zqOrvkFFRUVXLhwQexO0OXHiQCAhLgoaOsaiqYnxEWhkpXkUe00tHQhJyePhHw1ffGxUdDSMRB9dq7eEPPWnUZifAzk5OWhpq4Fz+EtUNtY9pEWM+NiIczKhIKu+J+joq4eMqKjJc5jNmQ4os6fQ9TpkwCA1DevIaeigso/T0fonp2AUIhKo8Yi9M89iLnkJ0qjZGwC0/4/Ivpcxas219LSgpycXIEasdiYmCIHYCiOjRs34vbt21j2228wMDQseoZCYoyNFY8xJjZW6kAbRQkKCkJsbCzGTpgompadnY3HT57ixMlTOOVzVNRuvzi0tTQ/52NsvhjjpA5uUBJh4eG49/Ax5nlOlXkZ2pqakJeTQ3S+QVaiY+Ogr1N4X4Z9Pqex96gvVs+bBjsrywLfZ2ZmYvbyDQiNiMTaBTNkqsUDvtjW+fIxNjYWul8xWue3kredxWs+Y2Jjv8l2Dg2PwL2HjzHfc4rMyxAd0/nuan9NjC+DXiE2Ng5jJkwSTcs9Xo6f9IWvzxEZj5eym4/lKsbY/DHGQa+QgSqKstl7N/r16IqWTXP6sNpYVUZYeCT2HT6Gdq2aS5zHy8sL8+eLDxo2d+5czJs3T+p6unXrhho1amDu3Ln4/fffJS5zwIABmDhxIgDA3t4ea9euRbNmzbBp0yaoqKhgyJAhovQ2NjZYu3Yt6tSpg8TERLF+owsWLECbNm0A5BRIf/31V1y8eBENGjQQzXvt2jVs2bIFzZo1Q3BwMGrWrCkqGHzZCsXw83+Zvr4+TExMpP6+L/Mhd907d+5EpUqVcOzYMfTu3RsrV65Eq1atMHv2bACAg4MDAgIC8Ntvv0ksrOa3b98+RERE4J9//oHe51ZMXxbI5s+fjxkzZsDDw0P0OxcuXIhp06Zh7ty5Epe5aNEi/Pzzz/jpp59E0+rUqSOWZtCgQejXrx8A4Ndff8XatWtx+/ZttGvXDhs3boSFhYWooOPk5IRPnz5h+vTpmDNnDrS1tVGjRg34+/vDzc0N/v7+mDRpEubPn4/ExETExcUhKCgIzZo1E1tnYGAg2rRpg27dumH16tUlqih49+4dzMzMikynq6uL9evXQ15eHk5OTujYsSP8/PwwfHjhI9/euHEDnTp1wsyZM/Hzzz+LfZeRkYFNmzbB1jZnVOqePXti9+7dCAsLg4aGBlxcXNCiRQtcunQJffr0Ec1nZmaG9+/fIzs7G3JyrKsqDHPnC15eXli3bh0qV64seplUsoWWjgECH+dV8ackJ+Jt0GNYOVSXuBwFBUVY2Dgj8EnePNnZ2Xjx5G9YS5hHQ0sXaupaCHzyNxLjo1HNrbnMv0GYmYnkF4HQqvXFnRmBAJq1aiPx6ROJ88ipKANC8U6swtxOrZ9PFnLKKnnT8n6U6PuKRlFREXb29nj4RQfy7OxsPHjwAE7OztJnLIJQKMTGjRtx88YNeC1ZUqw/wsJitLezw/0Hj/LF+BAuTpJvQBSlRvXq2LJhPTatWyt6OdjboWXzZti0bm2JLlhzY3Sws8X9R4/FYrz/8BFcpAxbXxJnL16CjrYW6tepLfMyFBUV4GBrhbuPnorFePdRAKo42kmdb+8xX+w8fBzLZ0+Bk51Nge9zC3gfQkKxet50aMvQ7zIvRkXY2dnjwcMHYjE+ePAATk6y74/fSs52tsG9fNv53sPHcJHyiIeSOHvxr2+wnXOOlwcP8vpS5+ThIzg7Ocm0zJrVXbFlwzpsWrdG9Mo7XtbIeLyU/XwsNzE+zBfjo8eo4iT7eSctLQ1y+f7z5OTkIBQKpc7j6emJuLg4sZenp2eR61q6dCl27tyJZxL6gD98+BDe3t7Q0NAQvdzd3ZGdnY03b94AyKkJ69y5MywtLaGpqSkqGAQHB4st68tanKCgICQnJ6NNmzZiy961axdevXoFABg9ejT279+PGjVqYNq0abhx40aRv0Wa3IIkAOjp6cHR0VH0e589e4ZGjcQHhGrUqBFevnwp1nxPmgcPHqBmzZqiAl5+Dx8+xIIFC8R+5/DhwxESEoLkz33lvxQeHo5Pnz6hVatWha7X1TWvH6i6ujq0tLREzWSfPXuGBg0aiBXCGjVqhMTERFGtbbNmzeDv7w+hUIirV6+ie/fucHZ2xrVr13D58mWYmZnB3j5vIL6UlBQ0adIE3bt3x5o1a0rcEiwlJUWsqaY0VapUETufmZqaijX/lSQ4OBht2rTBnDlzChTwAEBNTU1UwAMAY2NjWFlZid2EMDY2LrAeVVVVZGdnF1ojTjlYk1cEgUCAFh1+wNmjW2Foagl9I3P47t8AbV1DVK/TUpRu7YJhqF63FZq1y7mD07LTQOzeMAuWNi6wsquGS6f3IC0tBfWbdxXNc/OSD0zMraGhpYc3Lx7isPdStOj4I4zNrEVpoiNDkJwYh5jIEGRnZ+HD2+d4pqQES0tLqEsZwCHs0AFYzZiJpBfPkfwsAEY9e0NORQVRZ30BAFaes5AeEYlP2zcDAOJuXIdxr75IfvkCSc8CoGxeCWZDhiP25vWcghyA2JvXYfqDB9LDw5D65g3U7B1g1KsPos74ftP8lkReXQ3qdnm1JGrWlaBV3Qnp0XFIfR/y3dbbrVs3rFyxAvb29nBwdMRxHx+kpaWJ7jwuX74c+vr6GDx4MICcu1K5f6CZmZmIiorCq1evoKqqKrpTtnHDBvj7+2POnDlQVVUVNeNQV1eXqcN4925dsXzlKjjY28HRwQHHjh9Hamoq2rZpDQBYtmIlDPT1Rf3rcmJ8n/NeFONrqKiqwNzMDGpqarCyEn/+o4qKCjS1tApML66eXTtj6ap1cLCzhZODPY4cP4XU1DS4t845fpasXAsDfT0M8/hBFOO79zl/eJmZmYiMikLQ6zdQVVGBuZmpaLnZ2dk4e/EvtG3ZvMQX0/n17dwOi9dtg5OdNZztbXDw5HmkpKWhY8umAICFa7bAUF8Xo37IeZTJnqOn8Pv+o5g7aTRMjQwQ9bmGTVVFBWqqKsjMzMSs39bhxet3WPrLZGRnZ4vSaGloQFGx5Kfebt26Y+XK5Tn7o4Mjjh8/htS0VLRp0xYAsGL5b9DX18egwTl38Avuj5EF9seUlBR8+vRJtI7QsFC8evUKmpqaMDIyKlF8vbp2xpJV6+FoZwsnBzscOe6L1NQ0tGud06/Ka+VaGOjrY7jHAFF84ts5upDtfOmbbOce3brgt5WrYW9vBycHBxw9fgKpqalwb5Nz4bZsxSro6+thqJTjJTIqusDxYi3heNHS0iwwvbjKQz6Wixi7dMKS1RvgYGcLZwc7HD7xOcbP/fx+XbUOhnp60mOMLnjeaVCnNvYcOgojQwNYW1rg5es3OHT8JNq3bik5CADKysoyndubNm0Kd3d3eHp6Fqi5SkxMxMiRIzFhwoQC81laWiIpKQnu7u5wd3fH3r17YWhoiODgYLi7uyM9PV0s/ZfXEYmJOS2XfH19YW5uXuB3ADkDX7x79w6nT5/GhQsX0KpVK4wdOxbLly8v8W/8nlRVC281kZiYiPnz56N79+4FvpNU6Clqebnyj8wqEAhKNBJk8+bNsWPHDjx8+BCKiopwcnJC8+bN4e/vj5iYmAK1eMrKymjdujVOnTqFqVOnFthuRTEwMChWH35ZfpehoSHMzMzw559/YsiQIdDSEu/3LmmZxVlPdHQ01NXVi71N/stYyCuG1l0GIy0tBX9uWYCU5ATYOtXEmF82QVEp78QdGfYBifF5B0rthu2QGB8D34MbkRAbCXMrR4z9ZZPYg87DP73FiX1rkJwYBz0jc7h3H46WHX8UW7fvgQ34+3Jex90l03IuMnft2oV69epJjDfmkh8UtHVgNmjY54ehv8TL6T8j8/OBrGRkDGF23p3HkN05TTLNho6AkoEhMmNjEHvzOj5t3ypK837tKpgNGQ7Ln6ZAUVc352HoJ48jZNcfsmRpiWjXrooGfrtFn12W/5IT066jeDS06DuismrWrBni4+Kwe88exERHw8bWFgsWLhQ1hYwIDxe7qxsdHY3xX/SJOHLkCI4cOYJq1aph6bJlAHL+PAFg+vTpYuuaNHmyqPBYEs2bNkFcXBx27dmLmJgY2NjYYPGC+XkxRkSIxRgVHY0xE/Kamhw+egyHjx6Da7Wq+G1J4R39ZdWiSSPExcXBe+9+xMTEwtbGGkvmzxI17QqPiBS7+xgVHYORP+U11Tp47AQOHjuB6lWrYKXXAtH0ew8eITwiEu3aFH5ntThaNa6P2PgEbP/zKKJj42BnbYkVs6dC73NzzbDIKMjJ5cXoc+4vZHwuyH1pcO+uGNq3OyKiY3Dtn5x+FYN/niWWZu0CT9SqWvLat6bNmiEuPg57du8WbesFCxZ9sa3DIZD7cn+MwoTxec+/O3rkCI5+3h+XLP0NAPDy5Qt4zsjbF7dvyznmW7VujcmTS9ZcrkWTRoiNi8cfou1shaXzZ4ptZzlBXuORqOgYjPgpr5lt3nZ2waovtvPdz9u5fRvpF9LFlXe87PvieJknysPwiIh8+2I0Rn/RdPnL42X5kl+/Oh5JykM+locYWzZphLi4eHjvO5DzMHQbKyydlz9G8fPO8InTRJ8PHDuJA8dOonpVF6z+Nae55YQRQ7Fj736s2bwdMXFxMNDTQ+d2bTCwz/d5XuySJUtQo0YNOOarIa1VqxYCAgIK9AfL9fjxY0RFRWHJkiWwsMgZEfvOnTtFrs/FxQXKysoIDg4uUJj4kqGhITw8PODh4YEmTZpg6tSpWL58uahfanFq2gDg1q1bsLTMuYEbExODFy9ewPlzSxlnZ2dcv35dLP3169fh4OBQrBsArq6u2L59O6KjoyXW5tWqVQuBgYFS8zA/TU1NWFlZwc/PDy1ayDYgkLOzM44cOQKhUCg6z1y/fh2ampqoVCmnm05uv7xVq1aJtkHz5s2xZMkSxMTEFKgRk5OTw+7du9G/f3+0aNEC/v7+xWp+matmzZoICAiQ6fcURVVVFadOnUKHDh3g7u6O8+fPyzSSeH5PnjxBzZrfbkTbikwgLKydgRSTJk3CqlWyP9S3rK5LkgsPy151cJvqeYXLuy2+/vlW30PtS3knZ1/Fr2/C8z10zMgb7vvV69elGIl0tjZ5zQDfBn2bRw58a1Z2ec2fPryQ3CS4tFVyyHt8SMTTvwtJWXoMq+TdtAl69aYUI5HOzjavlcHHF48LSVk6zB2qid6/C/o2w/l/a5Xt8s6HZTEPAfF8LA8xfgp8VEjK0mPm6Fp0oi8MGjQIsbGxYuMCDBw4EIcOHUJqaqqoWeijR49Qv359DBkyBMOGDYO6ujoCAgJw4cIFrF+/HhEREahUqRJ++uknjBo1Ck+ePMHUqVPx4sUL3L9/X9Tvq0WLFoiJiRF7oPasWbOwefNmrFixAo0bN0ZcXByuX78OLS0teHh4YM6cOahduzaqVKmCtLQ0zJgxA+Hh4fj777+RmZkJLS0tzJw5E8OGDYOKiorEZ7TlrrtKlSpYs2YNjI2NMXPmTDx48AAvX76EkpIS7t27hzp16mDevHno06cPbt68idGjR2Pjxo2imk0rKytMnDhR1DdRIBDg2LFj6Nq1K9LT01GtWjUYGxvDy8sLpqamuH//PszMzNCgQQOcO3cOnTp1wqxZs9CzZ0/Iycnh4cOHePLkiWgglPx27tyJUaNGYenSpaKh/K9fv47x48cXWH8uHR0drF69GoMGDcLHjx/h4OCAwYMHY9y4cQgMDMSwYcMwduxYsT6aNWvWxOPHj7F+/XqMGjUK0dHRMDExQUZGBp4/fy4q9Ht7e2PixImIjY1FZmYm+vXrh8ePH8Pf3x8mJiZSt/GX1q1bh507d4rdBJg3bx58fHxEzzuUtF9OnDgRDx48EBsU5ktfLiMxMRHt27eHUCjE2bNnoaGhIRa7tPVKW3fz5s3F+muSdOyTR0RERFQGLViwoEBzNVdXV1y+fBkvXrxAkyZNULNmTcyZM0dUg2NoaAhvb28cOnQILi4uWLJkSbGbUy5cuBCzZ8+Gl5cXnJ2d0a5dO/j6+ooej6CkpARPT0+4urqiadOmkJeXFw1nr6CggLVr12LLli0wMzNDly5dCl3XkiVL8NNPP6F27doIDQ3FyZMnRbWBtWrVwsGDB7F//35UrVoVc+bMwYIFC4o16EpunOfPn4eRkRE6dOiQ04JhyRJRLaC7uztOnTqF8+fPo06dOqhfvz5WrVqFypWlN7P28PDA6tWrsXHjRlSpUgWdOnXCy5cvixUPAJibm+P06dO4ffs2qlevjlGjRmHo0KGYNUu8tUezZs2QlZUlGkVTT08PLi4uMDExKVCrm0tBQQF//vknqlSpgpYtWxbZXy7XgAED8PTpUwR+o2dcSqKhoYEzZ85AKBSiY8eOYo/6KKmPHz/ixo0bom4yVDjW5BWBNXmyYU3et8GavG+DNXnfBmvyvh5r8r6NiliT919RnBom+vdMnToV8fHx2LJlS2mHUqTp06cjJiYGW7duLToxsSaPiIiIiOi/aObMmahcuXKJBogpLUZGRli4cGFph1FucOAVIiIiIqL/IB0dHfzyyy+lHUaxSHoUA0nHQh4RERER/SuaN29e6LMFiejbYHNNIiIiIiKiCoSFPCIiIiIiogqEhTwiIiIiIqIKhIU8IiIiIiKiCoSFPCIiIiIiogqEhTwiIiIiIqIKhIU8IiIiIiKiCoSFPCIiIiIiogqEhTwiIiIiIqIKhIU8IiIiIiKiCkQgFAqFJZ1p0qRJWLVq1feIp1TXRUREREREVN6xJo+IiIiIiKgCYSGPiIiIiIioAlEo7QDKOo85oaUdQgE7F5iI3r94FVyKkUjnYGspev/q9etSjEQ6Wxsb0XtfRcdSjES6jhmBovcJt31LMRLpNOt2FL2Pu3exFCORTrtWa9H7x51alGIk0lU7dUn0/uNPfUoxEunM1xwQvb/bolEpRiJZ7UvXRe+Td8wtxUikUxsyX/T+/ZgepRiJdBYbj4jeRy8aWYqRSKc3a4vofcSswaUYiXSGi/4o7RCI6D+MNXlEREREREQVCAt5REREREREFQgLeURERERERBUIC3lEREREREQVCAt5REREREREFQgLeURERERERBUIC3lEREREREQVCAt5REREREREFQgLeURERERERBUIC3lEREREREQVCAt5REREREREFQgLeURERERERBUIC3lEREREREQViEJpB1CedWupgea1VaGmIoeXwenYeTIeYdFZUtN3baGBbi00xKZ9isiE57pIsWm2Foro2UoDtpUUkZ0NBIdm4rdd0cjIlB6L78njOHrkEGJiomFtbYuRo8fCwdFJavprVy9jz+6dCA8LhZmZOQYNGQa3OvVE38fExMD7j214cO8uEpOSULVqNYwcNRZm5pVEadavW42H9+8hOjoKKiqqcHZxgcfgYbCwsJQe6BdOnjyJI4cPIyYmBtY2Nhg9ejQcHR0lpn337h12796NoJcvER4ejhEjRqBrt25iaQ4cOIAb16/jw4cPUFJSgrOLC4YMGYJKlSpJXOa3pNfYDTY/D4V2rapQMTPCnR5jEHbC77uvFwAOXriG3acvISouAfYWZpg6sBuq2laWmPavfx7hj5MX8T4sEpmZ2bA0McCA9s3RsbGbWJojf93A87cfEJeYjL2LfoZjZfOvivHQ+cvYc/IiouLiYW9pjimDeqOKnZXEtD5+1+F79W+8/vAJAOBkbYkxff4nlr5uv7ES5x3fvyt+7NxGphj1OnaFYfc+UNDVQ+qbV/i0ZS1SXjyXml7/fz2g3+F/UDQ0RmZ8HOKvX0bozm0QZmQAAIz6e8C4/yCxeVLfB+PlaA+Z4gMA9cZtodGyM+S1dJDx8R1ij/yBjOBXEtMajJsDZfsqBaanPr2HqK1LAQCa7XpCtVZDyOvoA1mZSH//BvG++5HxLkim+Ay7dodxn/5Q1NNDyqsgBK9dheTnz6SmN+rRG4b/6wYlY2NkxsUi5rI/Pm7bDGFGek4COTmYeQyFXpu2UNTTR0ZkJCLPnUbobm+Z4gOAA/deYuffzxCVlAoHIx1Mb10bVc30JaY98fg15p6+LTZNSV4Of0/pLfo8x/cWTj55K5amobUJNvRuLnOMGk3bQbNNF8hr6SD9w1vEHvwd6VK2ieHE+VBxqFpgesqTu4jc+CsAQO/HcVBv0EL8+6f3EblhkcwxKtduDpUGbSCnoY2ssA9IOrcfWZ/eSk0vUFaFaouuUHKsCYGqGrLjopF8/iAyXj0BAKg27QTVpp3F5smKDEXc5rkyx6hSryXUGreHnIY2MkODkXhqLzI/vpEeo4oq1Fv3gFKV2pBTVUdWbBSSTv+J9BePPicQQK1lV6jUaAA5DW1kJ8Qi9d41JPuflDnGb8nb2xsTJ05EbGxsaYdSZlhZWWHixImYOHFiaYdC9K9jIU9GHRqro009NWw7FofImCx0b6mBKQN18cv6yEILYx/CMrBsZ4zoc1a2UOx7WwtFTPlRF6euJmGPbwKysoWwNFGEUJh/SXmuXvbH9m1bMHbcBDg4OeOEz1HMme2JzVt3QEdHt0D6ZwFP8dvSX+ExaCjq1K2Hy/6XsHjhPKxeuxGVrawhFAqxeOFcKMgrYOacBVBTU4PPsSOY9ct0bNyyHSoqqgAAOzt7NG/eEoZGRkhISMCfe3dhzqwZ2L5jd5H5d/nyZWzbuhXjxo+Hk6MjfHx8MHvWLGzdtg06OjoF0qelpsLUxARNGjfG1q1bJS7zyePH6NS5MxwcHJCVlYWd3t6YOXMmtmzZAhUVlSJj+hry6mqIfxSI995H4HZ4w3dd15fO37qPVfuOw3NwL1S1tcSfZ69g/LKtOLJsBvS0NQuk19JQw5D/tYaVqTEUFeRx9UEAFmzbDz0tDTRwzbkpkJKWjhoO1mhTrwYW/X7wq2O8cPMuVu8+ihlD+6KKnRX2n7mECUvW49CKuRJjvPvsBdwbusHVwRpKiorYdfICxnutx/7fZsFITwcAcHrTr2Lz3HwQgEVb96Jl3ZoyxajdpAVMh43Gpw2rkBz4DAZdesJ6wTIEjhyIrLjYgumbtYLJoBH4sGYZkp89gbK5BSpNnA4ACNm+UZQu9d0bvJn5s+izMFv6TaCiqNZsAO1uAxF7cDvS376ERvMOMBj9C8IWT0J2YnyB9FE7VkAgn3eKl1PXhNG0ZUh5cEs0LTMiBHGH/0BmVBgEikrQaN4RBqNnImzhBGQnJZQoPt0WrVBp9HgEr/oNSc8CYNSzN+yXrcTTgf2QKeGiU7dVG5iPGIW3y7yQ9OQxlC0sYTV9JgAhPmxcBwAw6fcDDLt0xZsli5D65g3UHJ1gNX0mspISEXH0cIniA4Bzz4Kx4q/7mNnWDVXN9LHvTiDGHPSHz/CO0FOXfI7QUFLEseEdRJ8FAkGBNA2tTTG/Q13RZyUF+RLHlku1dkPo9BiEmD+3IO3tS2i27ATD8bMRMm+85O289TdAQXw7m/yyAsn3boqlS3l6D9G7885NuTcjZKHk4ga1Nj2RdGYfMj++gUrdVtDsNwFxm+ZCmCxhv5GTh+aAichOSkDikS3IToiFnLYehKkpYskywz8iYe/qvAlfcbwoV60LjfZ9kXBiFzLfv4bq/9m77/CmyreB498k3XsPymiBlr2HLNlLEGRvoWwUkCEIiDJFlC0gQ2TLUJGNbCmjbKRsSmlpy+puuptmvX8E0oYmhVaQn7zP57pyXenJc865czKa+5kNWuEY+DlJS6agNfbelslwDJyIJiOV1G0/oklNRubkhiY7U1/EpnE7rOs2I+2Pn1HFPcbMxw/7LoPQZmeRdf5YkWPN6+HDh0yfPp1Dhw6RkJCAt7c3nTp1Ytq0abi65lZG/C8lL3PnzuWrr77iu+++Y+LEiW87nAJJJBJ27dpFp06d/tXz3r17lwoVKnDu3Dnq1aun316vXj1CQkKQy+X63ynZ2dk4OTnx448/Mnjw4H81TuHdUqQkz8rKinHjxr3uWIyKi4v7V85TWG3q27DvVDpX7yoA+GlnCku/8KBmeSsu3Mw2uZ9aAynpGpOP92lrz9HzmRw4naHfFpNY8D+63bv+oE3bD2jZui0An44aw6VLFzh65DDde/TKV37vnl3UrFWHLt10tdH9+gcScvUK+/ftYeTosTx5/JjQu3dYvnINpUr56o458jP69+3JyaATtGmr+8HT9oP2+mN6enrRr/9APhs5nLi4WCoE+BUY865du2j7wQe0bt0agFGjR3Pp0iWOHDlCjx498pUPKFeOgGetfOvXrzd6zNnfGNZKjx8/nt69exMWFkaVKlUKjOefij98ivjDp97oOYzZcvAknZrWo2Nj3Q/MKQO7cebabfaeukhghxb5yteuUNbg795tGrP/9CVC7j3QJ3nPW/WexCe9lhi3HjhOp+YN6NC0PgCTB/ci+OpN9gWdY8BHrfOVnz1qoMHfU4f15cTFEC7dDKV9Y11rs5uTo0GZk1euU6uiPz6ebkWK0a1Td5IPHyD52CEAHv+4CPs67+HS6gPid2zLV962QiUy79wk5aSutVYZF4v81F/YBFQwKKdVq1HJk/PtXxR2TduTcfY4mReCAJD/9jNWFWtiU68Z6cf25Cuvzcwgb92Qdc2GaJUKgyQv60qwwT4puzZhW7855j6lUNy7Waj4PLv3JOHAPhIP/QlA9KL5OL7XANcPPiR22y/5n0+lKqTfvEHy8aMA5MTGkPzXUWwrVNSXsa1UGXnwaVLPn9OXSW3RCtvyFYkvVHQ6v1y6S5dqZfioamkAprapw+nwp+y+EcGgehWN7yQBNzvrAo9rYSZ9aZlXZd+8A+nBx8g4fwKA5G2rsapcE9sGLUg7sitfeU1musHfNrUaos1RkPX3WYPtWpUKTar8tcRo9V5LFFfPkHNNd47MP7dgUbYyltUbkH32cL7yltUbIrG2JX3D96DR/f/TpCTmP7BGgzYjfyJbFNYNW5N9+RSKv88AkL53ExblqmFV632yTv2Z/znVfB+pjS3yn+bok0uN3DBGsxJlUdy9qm/Zy5Enoqz6HmbFS7+WmCMiIqhfvz4BAQFs27YNPz8/bt26xcSJEzl48CDnz5/HxcXltZyrMJRKJebm5iYfX7duHV988QXr1q37n0/y3pby5cvj5eVFUFCQPslLS0vj77//xtPTk/Pnz9O0aVMAzp07h0KhoHnz5m8xYuFdUKQkb+7cua87DpP+rWSyMNydZTjZy7gVnqPflqXQEvFYSdkS5gUmeV6uMpZMcEep0nL/oZLfj6WRlKL7p2dvK6VsCQvOXc/mqyEueLjIeJqgZsexNMKijde6KpVK7t+/R7c8yZxUKqV69ZqE3r1tdJ+7d2/TqXM3g201atXm/Lmz+mMCWFhYGBzT3Nyc27dv6pO8vLKzszh29DCeXl64ubmbfP76mMPCDJI5XczVuXvHdNeuwsrI1NXA2tvnby16FyhVKu5GPmJgnmROKpVSt1IA1+9HvnR/rVbLpdthRD2NZ3TP1/MjxWiMDx4y4KM2BjHWqVyeG2ERr3SMbEUOKpUaBzsbo48nylMJvnqT6Z/0L1KMEjMzrMsGEP/7ltyNWi3pIX9jUz5/d0eAjDu3cGraCuuA8mTdu4u5pzf2td9D/tdRg3KWxXwov/F3tMocMu/eJmbjGpTxRai4kskwL1GatGO7DWJU3LuBha//Kx3Ctl4zsv4+izZHYfIctg1aoMnMQPk4qlDhSczMsAkox9MteVrxtVrS/r6MXaXKxBrZJ/3WDVxatcamfAUy797BwrsYDu/VJ+lobpKQcesmbh92xLJ4CRSPHmJdpix2lavyaOWyQsUHoFSruROTbJDMSSUS3vP15PpjIwnHM1k5Kj5YuRetVkt5TxdGN65KGXfDSobL0XE0X7YLBysL6pT0ZGTjKjhZWxY6RmRmWJQsY5jMabUo7l7H0i+AV2lbtW3QgswrwfleZyv/ShT7fh2azHQUoTdJ2bcVTUa6iaMUQCpD5l2SrOCDeTZqUUbexczH+PeIeUBVVI8isGnbB4uAamgy08i5dYnss4fI201F5uKB05jv0aqUqB5HkPXXLjSpRagkkckwK+ZL5qkDeULUogy/jXmJsmQZ2cWifA2U0eHYdeiHZYUaaDLSUFw/T+apP/Uxqh7ex6p2U2SunqgTY5F5lcC8lD/pB7cXPkYjRo4ciYWFBUeOHMHaWldpULJkSWrUqEGZMmWYOnUqK1eupGnTpkRFRTFu3Dj9byRtnut4+PBhxo4dy8OHD2nUqBHr16/H29tb//jPP//MwoULefDgAb6+vnz22Wd8+umnAERGRuLn58f27dtZsWIFFy5cYNWqVQQGBhqN+eTJk2RlZTFr1iw2bdrE2bNnadCggf7xa9euMXbsWC5fvoxEIsHf35/Vq1dTu3ZtoqKiGDVqFGfOnCEnJwdfX1/mz59Pu3btUKvVDBs2jL/++ouYmBhKlizJp59+ypgxY/THbtq0KdWrV2fJkiX6bZ06dcLJyYkNGzbki9XX1xeAzs+GepQqVYrIyEijz+vGjRuMGTOGc+fOYWNjQ9euXVm0aBF2drohN4GBgcjlcho1asTChQvJycmhV69eLFmyxGRC3KxZM4KCgpg8eTIAZ86cISAggMaNGxMUFKRP8oKCgihVqhR+frrK8pUrV7JgwQIePnyIn58fX331FR9//LH+uBKJhFWrVrFv3z7++usvSpUqxbp163B3d2fIkCFcunSJatWqsXnzZsqUKaPfb8+ePcycOZPbt29TrFgxBgwYwNSpUzF71jNAIpGwZs0aDhw4wOHDh/Hx8WHhwoV07NjR6PMT/veI7ppF4Ginm6/mxRa51HS1/jFjIh7lsGaXkpgENY72Ujo1tWPqYFemLk8gO0eLh7Oui0/nZnZsP5xG1FMljapbMynQhanLE4yO90tNTUGj0eDsbNgt08nJmUcPHxqNQ56cnK9LpJOTM/JkXctN8RIlcHf3YOP6tYwaPRZLKyv27P6DhIR4kpMMW3cO7N/LhnVryM7Oxqd4CWbP+b7AGj9dzKnGY3Z25uGjRwXu+6o0Gg2rV6+mYsWK+i/2d408LQO1RpOvy6OLgz2RT0wnEumZWXzw2UxyVCpkUimTBnSlXhXjYyH/cYyp6cZjdLQn6knMKx1j+dbduDk7Urey8TGmB05dwNbKimZ1qhcpRpmDIxKZLF+Lm0qejGVx4+NLU04ex8zBkdLfL0UikSAxMyPxzz0GiWJm6B0eLv6enMcPMXNxxaN3f0p//wNhIwehyTL2M9M0qa0DEpkMTVqKwXZ1WgqWHsVeur95yTKYFytJ8rZV+R6zqlQT5wFjkJhboEmVk7ByTqG7apo5OiGRmaFKNvx+UCYnYVXS+DVMPn4UM0dHyi1dqb+G8Xt2EbNlk75MzNbNyGxsqLRxq64FSCrlydqfSDp2pFDxASRn5qDWavN1y3S1sSIy0XjrUSkXB6a3q0uAuxNpCiWbL94l8Jdj7Bj8AZ4OukqHBn7eNA8ogY+TLY+S01l26jqjfj/Jxn4tkUkLN7eZ1M4eiUyG+oUWN3VaCmaeLx8Xa1GqLBY+pUj+ZYXB9qzbV8kMOY86MQ4zdy8cO/bBbeRXxM3/ErSme5YYI7GxQyKV5evyqElPxdzVy+g+Mid3pL6u5Ny8QNr2ZchcPLBp2xukMrJP7wdA9fgB6fs2oEmMRWrniNX7H2I/YCIpq2eCqYoJE6Q2uuv4YvdWTXoK5m4mYnRxR+ZUgezr50jZtBiZiyd2HT8GqRmZJ3Qt5Zmn/kRiaY3zmG91100iJePYThTXzhs9JoBCoUChMIzf0tISS0vDSoCkpCQOHz7MnDlz9Anec15eXvTt25dff/2VFStWsHPnTqpVq8awYcMYOnSoQdnMzEwWLFjA5s2bkUql9OvXjwkTJrBli+67acuWLUybNo3ly5dTo0YNrl69ytChQ7G1tWXAgNzxwpMnT2bhwoXUqFGjwOEOa9eupXfv3pibm9O7d2/Wrl1rkOT17duXGjVqsHLlSmQyGSEhIfrfCCNHjiQnJ4dTp05ha2vL7du39UmURqOhePHi/P7777i6unL27FmGDRuGt7e30d4+r+LSpUt4eHiwfv162rZti0xmvFt1RkYGbdq0oX79+ly6dIm4uDiGDBnCqFGjDJLHEydO4O3tzYkTJ7h//z49e/akevXq+V6T55o1a8a4ceNQqVSYmZlx4sQJmjZtyvvvv8+KFSuYMWOG/rjNmunG0O7atYsxY8awZMkSWrZsyf79+xk4cCDFixfXlwGYPXs2ixYtYtGiRUyaNIk+ffpQunRppkyZQsmSJRk0aBCjRo3i4EFd5czp06fp378/S5cu5f333yc8PJxhw4YBMH167jjYmTNnMm/ePObPn8+yZcvo27cvUVFRb6VFWSi8dz7JmzJlCtnZplvWjFm8eLHB3/WrWhHYwUH/96ItRet+dT0st+XvYSxEPEpm4Xh36la24tTfWTwf6nHicianr+p+BG49lEbF0hY0rmnN78eKUOtaBGZmZnz51XSW/rCQ3j276FrZatSkVu06+cYGNm3Wgho1apKUlMSunb/z/dxvmLdgyb8SZ0FW/PgjUZGRLFiw4G2H8j/HxsqSrXM+JzM7h0u3wli8dQ8+Hq75unL+L9i45whHz11h5ddjsbQwXnmw7+Q52jSsY/LxN8G2SjXce/TlycolZIbewbKYD95DR+HR62Pitutas9Kv5JmwIzKCzNDblF+3HcdGzUg+mr+72BuNt15zlE+ijE7Sogi7Rdy8L5DaOmDboDkugWOJXzTV6Piv18muWg28+/YneslCMu7cwsqnOCVGjcHr40D9xCrOTZvj0rI1D76ZQVbkA2zK+lNi5BhyEhNIOnyw4BO8BtV83Kjm42bwd9ef/2RHyH1GNq4KQNuKuZMc+bs74e/hRIfV+7kcHcd7vsYTijfFtkELch5H5ZukJW+3XOWTaHIeRVFs9gosAyqhCL3x5gOTSNBkpJFx4BfQalHHRCO1d8KqXmt9kqcMv6Uvro57jOrxAxxHz8WiYm1yQoJNHfk1x5hK+u4NoNWiehKF1MEJ6/c/0Cd5lpXrYFmtPmm/r0YV9wQz7xLYteuDJk2O4qrxGOfOncvMmTMNtk2fPl3/g/65sLAwtFotFSoYdvl+rkKFCiQnJxMfH4+HhwcymQx7e3u8vAzfY0qlklWrVulbbEaNGsWsWbMMzr1w4UK6dOkCgJ+fH7dv32b16tUGSd7YsWP1ZUxJTU1lx44dnDun607dr18/3n//fX744Qd9shYdHc3EiRMpX15XSefvn9vzIDo6mq5du+qHU5QundsSbG5ubnDd/Pz8OHfuHL/99luRkzx3d10vIycnp3zXLa+tW7eSnZ3Npk2bsLW1BWD58uV06NCB77//Hk9PTwCcnZ1Zvnw5MpmM8uXL0759e44fP15gkpeRkcGlS5eoX78+QUFBTJw4kUaNGjFgwACys7PRarVcvHiRIUOGALBgwQICAwP1La3jx4/n/PnzLFiwwCDJGzhwoP66TJo0ifr16/P111/Tpo2uF82YMWMYODB3KMTMmTOZPHmy/jUvXbo0s2fP5osvvjBI8gIDA+nduzcA3377LUuXLuXixYu0bdv2VS+78Ba980lednZ2vqStsK7eVRD+KLc7j7lMl4052kkNWvMc7GREP331weyZ2VpiEtV4uuhqk+RpumM9iTOcueVJvAoXR+M1Tg4OjkilUpKTDRNPuTwZZ5f8k66ArsXsxdm35PJknJxza2bK+gewdPlqMjIyUKmUODo68fnY0ZT1N+waZmtri62tLcV8ilOufAV69+jCubNnqFxAwuDg4GA85uRkXJyNx1wYK1as4OLFi8ybPx8394K7jv6XOdnbIpNKSUoxrFFPSk3D1cl0F1WpVEoJT911KVfKhwdPYtmw7/gbSfKcHOyMx5iShquTg4m9dH7Zf4yNe4+w/MvR+JuY3fPq3ftEPYllzmeDihyjOjUFrVqN2QuTFJk5OedrmXrOs98g5H8dIfmILllTRD1AammFz6jPifv1F4zNlKTJyEDx+BEWxV7e8pZ/31S0ajVSe8NugjJ7R9Rp8gL3lVhYYl2zAakHjU+io81RoE6IRZ0QizwqDM+vlmBTrznpebuGvoQqRY5WrcLM2bB219zZBWWS8WtYbNBQEo8cJvFP3cyE2Q8ikFpZUerzScT8shG0WoqPGEnMtl9IPnFcX8bC0wvvPh8XOslztrFAJpGQlGFY6ZeYmY2r7auNpzOXSSnn6cxDuekKt+JOdjhZW/JQns57JksZp0lPQ6tWI3NwMtgus3d86Xg6iYUlNrUbkrL/15eeR50Yq2sddPcqdJKnzUxHq1EjsTX8jpHaOaBJTzG6jyY9RTfOLc/nQp3wVPd+lsqMTrCiVWShSYpF5lz473BNpu46Su0Mv2Okdo4mKy80afL8McY/RWbvBDIZqNXYtu1J5qkDKG7oKnDUsY+QOblh07i9ySRvypQpjB8/3mDbi614eWkLmmXtFdjY2Bh0yfP29tbPbZCRkUF4eDiDBw82SERUKhWOjobfLbVr1+Zltm3bRpkyZahWrRoA1atXp1SpUvz666/6CUPGjx/PkCFD2Lx5My1btqR79+76+D777DM++eQTjhw5QsuWLenatStVq1bVH//HH39k3bp1REdHk5WVRU5ODtWrVy/ahSmEO3fuUK1aNX2CB9CwYUM0Gg2hoaH6JK9SpUoGrYHe3t7cuGH681S2bFmKFy9OUFAQlSpV4urVqzRp0gQPDw9KlizJuXPn0Gq1KBQKfQJ3584dfQtb3lh++OEHg215r9vz+PLOReDp6Ul2djapqak4ODhw7do1goODmTNnjr6MWq0mOzubzMxMbGxs8h3X1tYWBweH/9m5MoT8xDp5ryA7R0tcklp/exyvQp6mpmLp3DFrVpYSSvuYc//hqyd5lhYSPJxl+uQuQa4mOVWNl5th7u3lZkZiivHJV8zNzSlbNoDr167qt2k0Gq6FXKVceeMTCZQvX5FrIVcNtoVc/Zvy5fPXINra2uLo6MSTx4+4f/8e79VvkK9MLi1atPoxfaaYm5tT1t+fayEhBjGHhIRQ3kQt5qvQarWsWLGCc2fPMve77wqsqXsXmJuZUd63OBdvh+m3aTQaLt0Ko6qJ5QmM0Wi15BQ0Jew/YG5mRnm/Ely6GZp7Po2Gy7dCqeJvehzgpr1HWbvzID9MHklFE8tBAOw9cZbyfiUJKFX0ZTK0KhVZ9+9hW61m7kaJBLtqNcm8e8voPlJLq3yJnPbZhBIYmX0RQGplhYV3MVQmkp4CqdUoH0ZgGZBnAiGJBMuAyuREhpneD7CuXg+JmRlZl06/2rmedZ0sDK1KRea9UBxq5vlhKJFgX7MW6beMT+AitbLM11XwxWsotbTK3facRmPyGhfEXCajgpczF6JyRwhqtFouRsZS1cf4EgovUms03I+X41ZAUhibmklKlqLAMqZPoCInOhzLci+8zuWqonhwr8BdrWs2QGJmTubFky89jczJBamtPeqUIvRK0ahRP43G3C/vd7UEc9/yqB4bH2erehSO1NkdyH3dpC6euYmVMeaWSJ3dTSaOBVKrUT2JxKJ0nv+BEgnmpSugfGh8KQpV9H1kLp4G7y2Zmxfq1GRQ62KUmFsY/9wX8H60tLTEwcHB4GYsyStbtiwSiYQ7Jsal37lzB2dnZ31rlCkvDpeQSCT6xDE9XVc5sWbNGkJCQvS3mzdvcv68YZfTvAmOKWvXruXWrVuYmZnpb7dv32bdunX6MjNmzODWrVu0b9+ev/76i4oVK7Jrl27M6ZAhQ4iIiODjjz/mxo0b1K5dm2XLdONtt2/fzoQJExg8eDBHjhwhJCSEgQMHkpOT2yNKKpXmS4pf9vvjdTJ2rTUvfl+9oGnTppw4cYLTp0/j7++Ph4cHAE2aNOHEiROcOHGCsmXLUqJEiSLH8nwGYGPbnseXnp7OzJkzDd4HN27cICwszKB7blGeo/C/451vyXtTDp/LpGMTO2IT1cQnq+nSwg55mpq/7+bWEn8R6MzftxUcu6ibAKRXG3uuhmaTKNfgZC+lc3M7NFo4fyN3fM6fwRl0bmZHdIyS6BgVjapb4+1mxvLtcpOxdOrclcWL5lHWP4CAgHLs2bOLbEU2LVvpmukXLfgeV1c3BgzU1ax1/KgzUyZ9zq6dv1O7znucPhnE/bB7jBo9Vn/MM6dP4ujohLu7B5GRD1izegXv1WtAzWc/4mKePuX0qSBq1KyFg6MTiQnx7Ph9O5YWFtSuUzdfjC/q3LkzixYuxN/fn4By5dizezcKhYJWrXRrnC1YsABXV1d99wKlUkl0dDSgq3VMTEwkPDwca2trij1rGVnx448EBQUxbdo0rK2tSXr2Y9rW1rbAmtPXQWZrg23Z3LFHNn7FcahWnpykFLIfPn1j5+37QRNm/LSNin4lqFS6JFsPnyRLkUOHZ7NtTlu1FQ9nB0b1/BCA9XuPUcGvBMU93VAqVQRfu8OfwZeZEpg7EU9KegYxiXLik3U/rqKe6mrtXB3tcXtJ65sxfdq3YObKTVQoXfLZEgp/kaVQ8GET3Qxj01dsxMPZiZG9PwJg494j/PT7AWaPCsTb3YUEuS4OGytLbPL880nPzOL4hauM6Vtwl6JXkbD7d4qPm0xW2D2y7t3B9aNuSK2s9LNtFh8/BWViPLEbfwYg9eJZ3Dp1JysiTNdd09sHz36DSL14Tj97oNegEaRdPEdOXAzmLm549A0EjQb5yaKtn5gedADnvp+ijA4nJzocuybtkFhY6mfbdO47EnVKEqn7DWcDtanXjKwbl/PNwiixsMS+dWeyblxBk5qM1NYe2/fbIHN0MZiB81XF/v4rvpOnknHvLpnPllCQWlmReEg3+YXvlK/IiU/gyc+6cYEpZ4Px7N6LzLB7ZNy5jaVPcYoNGor8XLD+GsrPBePdbwA5cbG6JRT8A/Do3pPEgwdMxlGQfnXKM+3AeSp6uVDZ24Wtl++RpVTxURVdhcNX+8/jYW/NZ010LROrg29StZgrJZztScvOYePFuzxNzaRzNV35zBwlq4Nv0SKgOG52VjxMTueHoGuUcLangV/RKpnS/tqHa//R5ESFkxMVhn2zD5FaWpJx7i8AXAaMRi1PImXPFoP97Bo0J+vaxXyTqUgsrXBo14Osq+dQp8oxc/fCqfPHqOJjyL4TUqQYsy8cw7ZjIKqnkageR2L1Xgswt0DxbLZN246BaNLkZJ3YDYDiykmsajfFpk1Psi/9hczFA+uGH5B96S/9Ma1bdEUZdh1NShJSe0fdmnkaDTm3LhUpxqzgI9h3HYLySSSqRxFYN2iNxMKS7Cu62Tbtuw5Bkyon46huKY6siyeweq8Fdu36kHX+GDJXT2yatCfrXO7SCDl3Q7Bp8iEaeaJuCQXvUtg0bEP2lVesQCmAq6srrVq1YsWKFYwbN85gXF5MTAxbtmyhf//++h/rFhYWqNWFW2LC09OTYsWKERERQd++ff9RvDdu3ODy5csEBQUZjM9KSkqiadOm3L17V99FMyAggICAAMaNG0fv3r1Zv369fvKTEiVKMGLECEaMGMGUKVNYs2YNo0ePJjg4mAYNGui7KQKEhxt2N3d3d+fp09z/r2q1mps3bxp0Y3yRubn5S69bhQoV2LBhAxkZGfpkNzg4GKlUanIt31fVrFkzPvvsMypWrKifaAWgcePGrFmzBq1WaxB/hQoVCA4ONuhKGxwcTMWKJmYDfkU1a9YkNDSUsmX/94ZpCK+PSPKK6M8zGVhaSAjs6KBfDH3B5mSDNfI8nM2ws82tVXJ2kPJJNyfsbKSkZWi4F53D7J8SScvMrYk6ci4TczMJfT5wwM5aQnSMinkbk4hLNv2l9H6TpqSkytmyeSPJycmULl2GmbO+1U9sEh8fh0SaW9NYoWIlJnwxhV82bWDThvUU8/Fh6tczKOWbu+xBUlISa9es1nX7dHaheYtW9Oyd+0/B3MKcW7dusHfPTtLT03FycqZS5SrMW/iD0bX5XtSkSRNSU1LY/MsvJCclUbpMGWbNnp0bc1wc0jy1o0lJSYweNUr/9x9//MEff/xBlSpV+H7ePAAOHND98Js0aZLBucaNH69PHt8Ux1qVqX88d2bBigu+BODhpp1cHzzljZ23db0aJKels+qPQySmpBJQ0odlE4fh+myik5jEZIPrmKXI4fuNfxCXJMfSwhxfb09mj+hL63q568ud+vsWM9fkzhb35Y+65zW0c2uGdyl8P/xW9WuRnJrGTzv2kyhPI6CUDz9MHqnvrhmbYBjjzqOnUapUTF7ys8FxhnRtx7Buuct2HD13Ba1WS5uGL+9W9DIpp09g5uiIZ79A3WLoEeE8mDZJPxmLubuHPvEAdOPutFo8+w3G3NUNVYqctIvniNmcG7O5mzslJn6FzMEBdUoKGbdvEP75SNSpRWiZALKunkNq54B9ux66xdAfRZKwaq5+MhaZsyvaF1rGzDy8sSxTgYQV+Re91mo0mHn44DqoCVI7ezQZaeREhxO/dAaqmMJPgJR84jhmjk4UCxzybDH0MMImfY7qWbdsCw9PtHnWBX26Wdcls9jgYVi4uaOSJyM/F8yTn3PXwXy4dDHFBg2l5JgJmDs76xZD37eHp5uML6PyMm0qlCQ5M5uVZ26QmJFNOQ8nfuzRFNdnk7HEpGaQ56uStOwcZh26RGJGNg5WFlTwdGZDv5aUcdN1bZNKJITFydl38wFp2Urc7ayo7+fFp+9XLfJaeVlXziK3c8Txw17PFkN/QPzyb/K8zm7wwvqqZh7FsCxbkbilM/MfUKPB3KcUtvWaIrW2QZ2STPada6Ts2waqorXg59y+jMTGDusmHZHaOqCOfUTatqX6yVikji4GLV6a1GTSti7FplV3HIdN0y0ifukv3eyaz0gdnLHrPASJtS3azHSUD++TseE7tJlFG4uuuHkRia09ti066RZDfxpNysZF+iUapE6uhjGmJJGycSF27XrjPGo2mrRkss4d1c2u+Uz6/i3YtOyMXcePkdo66BLZS0H6MXv/1PLly2nQoAFt2rThm2++MVhCwcfHx6Brna+vL6dOnaJXr15YWlri5vZqy8fMnDmTzz77DEdHR9q2bYtCoeDy5cskJyfn61ZakLVr11K3bl0aN26c77E6deqwdu1aZs2axcSJE+nWrRt+fn48evSIS5cu0bVrV0A37u+DDz4gICCA5ORkTpw4oR+T6O/vz6ZNmzh8+DB+fn5s3ryZS5cu6WecBGjevDnjx4/nwIEDlClThkWLFr10IXhfX1+OHz9Ow4YNsbS0zDcBHOgmi5k+fToDBgxgxowZxMfHM3r0aD7++GN9V8iiej4ub926daxZs0a/vUmTJvpxeHkT24kTJ9KjRw9q1KhBy5Yt2bdvHzt37uTYsX+2LuO0adP48MMPKVmyJN26dUMqlXLt2jVu3rzJN9/k/38h/DdJtP+0A/gbNm7cuH80pu6f7j9g2qvNAPhv2jgrt4b4Xnj0W4zEtIAyua1a4RGvNlX+v61MnkHeB8zfzOyS/1R7ZW43x7SLRWu9eNPs6+YmXil/v54FgV83x5ot9fdvfGi6lvdtqrL/hP7+4zE932Ikpvn8kDve60qzhm8xEuNqncgdF5W5bnoBJd8em0G5idjDT7u+xUhMK7HiD/39pG+Gv8VITHP5arX+fvxXAwso+fa4f1P4yoioqCj9YuhJSUl4eXnRqVMnpk+fbrAY+vnz5xk+fDihoaEoFAq0Wi0bNmxg7NixBonO7t276dy5s0G3xq1btzJ//nxu376Nra0tVapUYezYsXTu3Fm/hMLVq1dNjn/LycmhWLFiTJo0yei6ePPmzWPhwoVER0cTGBhIcHAwsbGxuLm50aVLF+bPn4+VlRWjR4/m4MGDPHr0CAcHB9q2bcvixYtxdXVFoVAwYsQIdu3ahUQioXfv3jg6OnLw4EFCng31UCqVjBkzhl9//RUzMzPGjRvH+fPnDZZQeHHR+H379jF+/HgiIyPx8fH5x0so7N69W7/P2LFjCQkJISgoqMDX2NfXl6ioKJ4+fWowrMTPz4/IyEiePHlisOTFqyyhkHeBd2OvYVBQEM2aNSM5z+zqhw8fZtasWVy9ehVzc3PKly/PkCFD9OM1jS0c7+TkxJIlS0wuqSH8bxFJ3kuIJK9oRJL3eogk7/UQSd7rIZK8f04kea/Hu5rkCYIgvC5i4hVBEARBEARBEIR3iEjyBEEQBEEQBEEQ3iEiyRMEQRAEQRAEQXiHiCRPEARBEARBEAThHSKSPEEQBEEQBEEQhHeISPIEQRAEQRAEQRDeISLJEwRBEARBEARBeIeIJE8QBEEQBEEQBOEdIpI8QRAEQRAEQRCEd4hI8gRBEARBEARBEN4hIskTBEEQBEEQBEF4h4gkTxAEQRAEQRAE4R0ikjxBEARBEARBEIR3iESr1WrfdhAFGTduHIsXL35r+wuCIAiCIAiCIPyXiJY8QRAEQRAEQRCEd4hI8gRBEARBEARBEN4hZm87gP91H30S+rZDyGfPynL6+4/u3XyLkZhWPKCy/n7k/XtvMRLTfMsG6O+nXTzwFiMxzb5ue/39A+blCij59rRX5n5GTlao/vYCKUCTOyH6+6E927y9QApQ7tfD+vvh/dsXUPLtKbMp93MSNzXw7QVigsecDfr7l5vUf3uBFKD2yXP6+9fbNX17gRSg6p9B+vsX6r/39gIpwHvnLujv/xdea0EQhH+baMkTBEEQBEEQBEF4h4gkTxAEQRAEQRAE4R0ikjxBEARBEARBEIR3iEjyBEEQBEEQBEEQ3iEiyRMEQRAEQRAEQXiHiCRPEARBEARBEAThHSKSPEEQBEEQBEEQhHeISPIEQRAEQRAEQRDeISLJEwRBEARBEARBeIeIJE8QBEEQBEEQBOEdIpI8QRAEQRAEQRCEd4hI8gRBEARBEARBEN4hIskTBEEQBEEQBEF4h5i97QD+y/p86EqrRk7YWku5G5HFyq2xPI1XFriPi6MZAzq7U7OSLZYWEp7GK1m26Sn3oxUAfNbfixb1HQ32+ftWBjOXPypUbLsPHOS3nXtISpZTxs+X0cMHUz7A32jZyKhoNmzZzr3wCGLj4vl0yEC6fvSh4XMdPILYuPh8+3Zs15YxnwwtVGzP7d1/gB1/7CQpOZnSfn58OmI45csFmIgxik2/bOH+/XBi4+IYPnQIXTp9ZPLYv/72O+s2bqLTRx35ZFjR4gP47egZNv95gsSUNPxLFGNi/85ULlPKaNm/Ll1n/b5jPIxNQKXSUNLLjb4fNKV9o9oGZf746yx3Ix+Rkp7Jlm8+p1wpnyLHVxgujWpT+vPBONasjFUxDy53/ZTYvcf/lXMX69OTEoMGYOHmSvrde9yf8z1pN24aLSsxM6PksEF4ftQBS08PMh9EErHwB5LPnDVavsSQgZT+fAyPNm0hfO78Isfo1LoDLh26IXNyQREVQdz6FWSHh5os79yuM06t2mPm5oE6NZW0C6dJ2LYOrVL3HWBdoTIuHbpj5eePmYsrj+fPIP3yuSLHB+DQoj1O7boic3Qm5+EDEjavQhFxz2jZYlPmYl2har7tGSGXiFk0AwCZgxMuPQdiU7kGUhtbskNvkbB5FcrYJ0WKz/q9Fti8/wFSO0dUMdGk7f8F1aMHJstLrGywbdUVy0q1kFrbopYnkn5gKzn3ruset7DCtmUXLCvWRGrngOpJFGkHtqJ6bPqYL+PeqStevfpi7uJCZvh9Hv6wiIy7t02W9+jWE4+POmPh6YUqRU5y0AkerVmJNicHAKm1DT6Dh+H0fmPMnV3IDLtH9LLFZN69U+QYXT/shHvXXpg5u5D94D6PVy4l695dk+XdPuqGa/uOmLt7okpNIeXMSWI2rEGr1MXo2TcQz76BBvtkP4zm3vD+RY7xRZ5du+Hdty/mLq5k3g8jctFCMm4bv64SmYxiAwJx+6AdFu7uZEVH83DFclLOn39t8cB/47UWBEF4U0RLXhF1ae1C+2bOrNway8R50WQrNMz4rDjmZhKT+9jaSPluYknUai2zlj9i1KxI1v8RR3qmxqDclVvpDJh0X39bsK5wP7hOnA5m1c8b6N+7B6uWzKeMXykmTZtNsjzFaPlsRQ7eXp4MGdAPF2cno2VWLPqe3zf9rL/Nmz0NgCaN6hcqtueCTp3mpzU/07dPb35cuoTSfn5M/XoacrncaHmFQoG3lxeDAgfg4uxc4LFD793jwKFD+Pn5Fim2546cv8rirXsY2rkNv8weT0DJYoye9xNJKWlGyzvY2TCoY0vWTxvD9m8n0KFxXWat2c6567k/zrIUOVQP8GN0zw+NHuNNktnakHo9lJufzfxXz+v+QWvKTPqcyB9Xc6Vrb9JD71FlzQrMXYy/jr5jRuLdoxv353zPpQ+78OTXHVRatgi7CuXylbWvXAnvnt1Iv2s6GXsV9vWb4N5/GAl/bCFq8kgUUREU/3IOMgdH4+UbNsOt9yASdmzhwfihxKxehEP9Jrj1GqgvI7W0QhEVQey65f8otuds33sftz5DSd69lUfTPiMn+gHeE2cjszceY8zSOUSO7qe/RU/5BK1aTcbFM/oyXmO/wtzdi5gls3n09WcoE+LwnjQHiYVloeOzrFIXu3a9yPhrN0k/TkcV8xCnwAlIbO2N7yCT4TRwAjJnN1K3Lidx8RTSdq1Hk5qsL2LfeSAWZSuRuuMnkpZ+Rc79WzgNmojUwanQ8QE4N2tBiZGf8WTjWm4PDSQrPAz/BYsxczL+XnRp2Zriwz7hycZ13Ozfi8jvv8W5eQt8ho7Ql/H9YgoOtevwYM4sbg3sR+qlCwQsXIq5m3uRYnRs3AzvoZ8Su3UDYaOHkhURjt/s+cgcnYyWd2raAq+Bw4jdupHQ4QN4tGQeTo2b4RU4xKBcduQDbvftor+FTxxdpPiMcWnRkpKfjeHR2rXcDBxAZth9yi/+ATMT39XFh4/Ao1MnIhct5HqfXsTt2knAd99jE2C8kq8o/guvdVE0bdqUsWPHFljG19eXJUuW/CvxFNb/cmyFsWHDBpycnAq934wZM6hevfprj+dFr/I++a97V95Lb5JI8oqoQ3Nnfj+YyMXr6UQ9VrBkQwwujmbUq25ncp+urV1ISFaydHMMYVHZxCUqCbmTSUyCYeufUqlFnqrW3zJeSAJfZsfufbRr05K2LZvjW7IEYz8djqWlJYeOGm+1KR9QluGDBtC8cSPMzc2NlnFydMTF2Vl/O3/pCsW8vahWuVKhYntu567dtG3bhjatWlKqZEk+G/UpllaWHD5y1Gj5cgEBDB08iKZNGpuMESArK4vv5y9k7OjR2NuZfi1exZaDJ+nUtB4dG9eltI8XUwZ2w8rSnL2nLhotX7tCWZrVroqfjyfFPd3o3aYxZUt4E3Ivt9WhfaPaDO3chrqVXt+PmVcVf/gU96YvIXbPsX/1vMUHfMzT33cSu2sPmeERhM34Bk12Nl5dOhkt79mxPdE/rSXp1BmyHz3m6fbfSTp1huKBhq0OUhtrys//lnvTZqFKNZ54vyrn9l1IOX6I1KAj5DyOJvbnpWhyFDg2a2O0vHVARbJCb5EWfAJVfCyZ1/8m9WwQVmVzE9GMkMsk/LqR9EvGWyALy6ltZ1KDDpF2+hjKJw+J37AcrSIb+yatjZbXZKSjTknW32wq10CboyD94mkAzL2KYVW2AvEbf0TxIAxlzGMSNv6I1MICu/pNCh2fTcM2ZF0+SfbfZ1DHPyFtz0a0yhysazU2Wt6qVmOk1nak/LIUZfR9NPIElJGhqGIe6gqYmWNZqTbph39DGXkPdVIcGX/tRp0Yh3Xd5oWOD8CzR28S9u8l8eABsqMiiVo4D022Ard2xitd7CpVIf3mDZKOHSEnJobUyxdJOn4U2/IVAZBYWOLcuCmPVv1I+vUQFI8f8WTDWhSPH+H+UecixejeuTtJhw6QfPQQiodRPF6+CK0iG5fW7YyWt6lQmYzbN5AHHUcZF0P61cvITx7HJqCCQTmtWo0qOUl/U6car/QrCu/evYnbu4eEA/vJinzAg3nfoVFk4/5hB6Pl3dp+wJONG0k5dxbFkyfE7dqJ/Ow5vHv3eW0x/Rde6xcFBgbSqVMng207duzAysqKhQsXArBz505mz579Ws73Nly6dIlhw4b9K+f65ZdfKF++PFZWVvj6+hb6um3btg2ZTMbIkSPfUIT/XFBQEBKJJF8F+b/5PvH19UUikZi8BQYGFri/RCJh9+7d/0qs/9+IJK8IPN3McXE049rdTP22zGwN9x5kU87P2uR+davaER6VzRdDirFxXhkWf1mKVg3z18JXDrBh47wyrJjhx4jentjbvvrLpFQquXc/nJrVcrtpSaVSalavyu1Q4926CkupVHLsxCnatmyORGK65bKg/cPu36dm9WoGMdaoXp3b/7BFZvnKVdStU5uaNar/o+MoVSruRj7ivTzJmFQqpW6lAK7fj3zp/lqtlou37hH1NJ4a5Ur/o1j+yyTmZthXqkDyuQu5G7Vaks9dwKF6/q6EAFILCzQKhcE2TbYCx1o1DLb5f/0lSSdPI8977KKQmWFV2p/MG38bxJh54ypW/hWN7pJ17zZWpf2xKqNL6sw9vLCtUYeMq5f+WSwFxGjpW5bMWyEGMWbdDsGqbPlXOoR949aknz+FNkd3bSVmusqS5136nh9Tq1RiFVDIyhuZDLNivuTcz9MVTqsl5/4tzEuWMbqLZfnqKB/ex77jx7hN+QGXz77BpsmH8Ow7RSKVIZHJDON7Fq95qcJXkkjMzLANKEfqlTyvkVZL6pVL2FaqbHSf9Fs3sAkop/+hb+FdDMd6DUi5oOt2K5HJkJiZockxjFGjUGBfpVq+471KjNZly5EecsUgxrSQK9iUN/5ezLxzE5uy5bAO0L0PLLy8sa9dj9RLhl0fLX18qLB5B+XWbqXExKmYu3sUOj5TMduWK0/qpTyVX1otKZcuYV+5ivF9LCzQ5LzwGVdkY1+t8NfMZEz/46/1q/j555/p27cvK1eu5PPPPwfAxcUFe3sTreP/Ae7u7tjY2Lzx80RGRtK/f386derEnTt3+O233/Dz8yvUMdauXcsXX3zBtm3byM7OfkORvhn/5vvk0qVLPH36lKdPn/LHH38AEBoaqt/2ww8//CtxCPmJJK8InB1kAMhTVQbb5Wkq/WPGeLqZ07axE0/ic5ix9BEHT8kZ2sODZvUc9GWu3s7gh41PmbbkIRt3xVPZ35ppo4ojfcVcKiU1DY1Gg/ML3S6dnRxJSpa/2kFeIvj8RdIzMmjTolmR9k9NTUWj0eD0QrcZZycnkpOTTez1ckEnT3H/fjiDAgcU+RjPydMyUGs0uDgafkm6ONiTKDfdapSemcX7QyZTb+BExi78mYn9O1OvSv5uhv9fmDs5IzEzQ5mYaLBdmZiIhZub0X2SzpyjeODHWJcqCRIJzg3q4daqORbuueXd27XBrmJ5IhYt/ccxyhwckMhkqFLkBtvVKckmu3alBZ8g4bdNlJy1kIAtByi9bCNZt66TtHv7P47HaIz2uhjVqYYxqlLkyBwL7r4MYFk6AMsSvqSePKzflvP0EcqEOFy7ByK1sQOZGU7tu2Hm6m7yeZsitbFHIpOhSTdsHdKkpyK1M96dVObigWWlOiCRIt+4iIwTe7Fp1BabZh0B0OZko4wKw7bZR0jtnUAiwbJafcxLlkVqootqQcwcnXTvxeQkg+2q5CTMXVyN7pN07AhP1q+h3PJV1Dx+mqrb/yAt5G9iftmoe35ZmaTfvEGx/gMxd3UDqRSXVm2wq1QZc1fjxyyIzMFR9158MUZ5MuYuLkb3kQcdJ+aXdZSZv4wqe49Rft02Mm6EEP/bFn2ZzNDbPFz0HQ++/oLHPy7GwtObMvOXIrU2XSn5qsycnl3XJMOYlUlJmLsajznlwnm8evXBsngJkEhwqFMX56bNdNfwNfgvvNYvM2/ePEaPHs327dsZODC3G/iL3fDi4uLo0KED1tbW+Pn5sWXLlnzHkkgk/Pzzz3Tu3BkbGxv8/f3Zu3ev/nG1Ws3gwYPx8/PD2tqacuXK5fth/ryVcebMmbi7u+Pg4MCIESPIyZP0Nm3alFGjRjFq1CgcHR1xc3Pj66+/RqvV6su82MXuZbEB7N27F39/f6ysrGjWrBkbN2402nr14nOWSCQMGjQIPz8/6tatS79+/UyWf9GDBw84e/YskydPJiAggJ07dxott3v3bn1sbdq04eHDhwaPf/fdd3h6emJvb8/gwYPzJYvGulV26tTJoPVLoVAwadIkSpQogaWlJWXLlmXt2rVERkbSrJnud5izs7NBq9mLx01OTqZ///44OztjY2PDBx98QFhYmP7x591PDx8+TIUKFbCzs6Nt27Y8ffr0pdfK3d0dLy8vvLy8cHn2PeXh4aHftnXrVsqUKYOFhQXlypVj8+bN+n19fX0B6Ny5MxKJRP93eHg4H330EZ6entjZ2VGnTh2OHft3eyG9C0SS9wqa1LFn+2J//U0mK3zrFei+dCKiFfyyJ4EHjxQcOZPC0eAU2r7vpC9z+nIaF69nEPUkhwvX0pm94jEBvtZUDnjzNV+v6uDR49StVQM3E//A34a4+HhW/rSGSRM/x8LC4q3FYWNlydY5n7Np5jg+7daOxVv3cPnO/bcWz39R+LfzyIqMps6BXTS+fomyX00mZtdetBpdt2VLL0/KTvmCuxO/1E+I8G+zrlgV1869iF27nMjJI3m8YCa2Nevi2uX1dTd7newbt0YR/cBwkha1mpilczD38sFv1a+U/nkn1hWqknHtEmi0pg/2ukgkaDJSSdu9HtWTKBQ3LpIRtA/rurmVR6k7fgIJuE1egvvMn7Fp0ArF9fOg/RfiA+yr18C77wCiF8/nztBA7n81Gcd6DfDun/uj+8GcmSCRUG3nPmodPYln1x4kHT9q8MP2TbKtUh2PHv14smIJYZ8NJXL2V9jXqYdH74/1ZdIuXyTlzEmyIyNI//sSD6ZPRmZrh+P7Rauo+6eiFi8i++FDqm3/lbqnzuD7+QQSDuwHbeGGJrxOb+q1VigUpKamGtwUL/RUeNGkSZOYPXs2+/fvp3PngruCBgYG8vDhQ06cOMGOHTtYsWIFcXFx+crNnDmTHj16cP36ddq1a0ffvn1JepaYazQaihcvzu+//87t27eZNm0aX375Jb/99pvBMY4fP86dO3cICgpi27Zt7Ny5k5kzDcd4b9y4ETMzMy5evMgPP/zAokWL+Pnnnwt8DgXF9uDBA7p160anTp24du0aw4cPZ+rUqQUeD8DHx4fatWszatSoIrXCrV+/nvbt2+Po6Ei/fv1Yu3ZtvjKZmZnMmTOHTZs2ERwcjFwup1evXvrHf/vtN2bMmMG3337L5cuX8fb2ZsWKFYWOpX///mzbto2lS5dy584dVq9ejZ2dHSVKlMjXcmaq1SwwMJDLly+zd+9ezp07h1arpV27diiVucOFMjMzWbBgAZs3b+bUqVNER0czYcKEQseb165duxgzZgyff/45N2/eZPjw4QwcOJATJ04AulZA0F3vp0+f6v9OT0+nXbt2HD9+nKtXr9K2bVs6dOhAdHT0P4rn/xsxu2YeU6ZMITs7m8WLFxtsv3g9ndDISP3fzydXcXIwIzlVrd/uZG/Gg0emv7yTU1Q8jDF8/GFMDvVrmB47FpugJCVNhbe7OddfoSejo4M9UqmU5Bda7ZLlKSYnVSmM2Lg4/r52gxlTJhb5GA4ODkilUuRyw1a7ZLkc55dMqmLK/fv3kcvljPxsrH6bRqPhxs1b7N23n/27dyKTmW5lfZGTvS0yqTTfJCtJqWm4OpnuAiGVSinhqRuEX66UDw+exLJh33FqVyhbuCf0jlDKk9GqVPlqus1dXclJSDC+T3Iyt0aPQ2JhgbmTEzlxcfh9PobsR48BsKtUEQs3V2r9sU2/j8TMDMfaNfHp05NT1eqC5tV/LKpTU9Gq1Zi9MLGFzNEZldx4y7JbjwGknjpOyl+HAMh5GInU0grPYWNI3LXttSch6jRdjLIXJhwxc3RCnVJw67fEwhK7eo1J3vlLvsdyIu/z6OvRSK1twMwMTVoqPtMXoXgQZuRIpmky09Cq1fla7aR2Dvla9/T7pMlBrTa4Vur4J8jsnUAmA7UadVI88p+/A3MLpFbWaNJScOj5Cerk/DP9vowqRa57LzobVk6ZObugTEo0uk+xwcNIPHKIhAP7AMiKCEdqZUWpCZN5unkDaLUonjwmdMynSK2skNnYokxKpPT02SiePC50jOrUFN178cUYnZzztZQ95/XxIOR/HSHp8AFAN8GK1Mqa4qM/J277L0bfi5qMdBSPH2FZ7J/P7KuSP7uuL7Q0mru4oEw0HrNKLids8hdILCwwc3REGR9PiU9Hkv24aLO65jv+/9BrPXfu3HyJ0PTp05kxY4bR8gcPHmTPnj0cP36c5s0LHnt67949Dh48yMWLF6lTpw6g62JYoUKFfGUDAwPp3bs3AN9++y1Lly7l4sWLtG3bFnNzc4MY/fz8OHfuHL/99hs9evTQb7ewsGDdunXY2NhQqVIlZs2axcSJE5k9ezZSqa7NoESJEixevBiJREK5cuW4ceMGixcvZuhQ07NcFxTb6tWrKVeuHPPn62ZOLleuHDdv3mTOnDkFXpuhQ4ei1WopXbo0H3zwAXv27MHBQddrqkOHDpQqVYrly41PiqXRaNiwYQPLli0DoFevXnz++ec8ePDAoMunUqlk+fLlvPfee4Auwa1QoQIXL16kbt26LFmyhMGDBzN48GAAvvnmG44dO1aopPPevXv89ttvHD16lJYtWwJQunTuEJC8LWemJoIJCwtj7969BAcH06BBAwC2bNlCiRIl2L17N927d9c/n1WrVlGmjK6L/ahRo5g1a9Yrx2rMggULCAwM5NNPPwVg/PjxnD9/ngULFtCsWTPc3XW/l5ycnPDy8tLvV61aNarl6b49e/Zsdu3axd69exk1atQ/iun/E9GSl4exBA8gS6ElJl6pvz18mkNSioqq5XJb16ytpAT4WRH6IMvk8e9EZFHM07CVycfDnPhElYk9wNXJDHtbGcmppsvkZW5uTkDZMly9fkO/TaPRcPXadSqaWJ6gMA4dO4GTowP16tQq8jHMzc3xL1uWqyHXDWIMCblGxfJF69pYvVo1Vv+4nJXLlupvAf5lad60CSuXLS1UggdgbmZGed/iXLyd+2NXo9Fw6VYYVcv6vvJxNFotOcpXe+3eRVqlirRbd3CuVzd3o0SCc726pOZ5/Y3um5NDTlwcEjMz3Fu1IPF4EADycxe41LErl7v01N9Sb9wibv+fXO7Ss1AJHgBqFdkRYdhUyTPmTyLBpnJ1ssOMT7cutbTMV3uv1Z+3aC39L4tREXkfm0rVDWK0rlid7Pump9YHsKv7PhIzc9LOnjBZRpOViSYtFXPPYlj6lSXj70JOZa9Wo3oSiUWZPOPGJBIsylREGR1udBdlVBgyV0/9GDwAmasX6tRkXfJnUDgHTVoKEisbLPyroLjzN4WlVanIuBeKfa3cJU2QSHCoWZuMW8aX85BaWqF9sXXp+ev8wnhkTXY2yqREZHb2ONR5D3nw6SLFmHU/FLtqNQ1itKtei0wTU/9LLC2NxKg2GuNzUitrLLyLmUx4ChtzRuhdHGrXMYjZsXYd0m7eML0jus+4Mj4eiUyGS7NmJJ8+9Y/j0cf0P/JaT5kyhZSUFIPblClTTJavWrUqvr6+TJ8+nfT09AKf5507dzAzM6NWrdz/x+XLlzf6Y79q1dwx0La2tjg4OBi0+P3444/UqlULd3d37Ozs+Omnn/K1mlSrVs1gPF39+vVJT0836KJYr149g7H69evXJywsDPWLn+lXjC00NFSfwD5Xt25dCnL79m02bNjAhg0bWLlyJSVLlqRp06b6Y968eZP333/f5P5Hjx4lIyODdu10kx25ubnRqlUr1q1bZ1DOzMzMILbn1/7OHd2SGnfu3NEngM/Vr1+4GclDQkKQyWQ0aVL4ybCee/4+yRuLq6sr5cqV08cKYGNjo0/wALy9vY22Chf23A0bNjTY1rBhQ4PzGpOens6ECROoUKECTk5O2NnZcefOHdGSV0iiJa+I9v2VTI92rjyNzyE2QUmfDm4kpag4H5L7pTxrTHHOh6Tz50k5AHuPJ/P9xJJ0a+vCmStpBPha0bqREyu2xABgZSmhV3s3zl5NQ56iwsvdggFd3Hkar+Tv25nGwjCqW6cOfL94GQFly1A+wJ8/9uwnO1tBm5a6WsHvFi3FzdWFIQN0/dOVSiVRD3Xr8KlUKhISE7kf8QBrKyt8innrj6vRaDh07C9aN29a6KTpRV06d2LBosUE+JelXEAAu/bsITs7m9atdDVV8xYuws3VVT++TqlUEh2t+0eiVKlITEwkPDwCK2srfIoVw8bGBl9fw/XrrKyssHdwyLf9VfX9oAkzftpGRb8SVCpdkq2HT5KlyKFDY90/mGmrtuLh7MCoZ8shrN97jAp+JSju6YZSqSL42h3+DL7MlMBu+mOmpGcQkygnPlnXuhH1VPcF6upoj5uTA2+SzNYG27Il9X/b+BXHoVp5cpJSyH748n73RfVo42bKz51N2s3bpN24iU//vkitrYnZtQeAct/NJic2jgeLdbWm9lUrY+npQfqdUCw9PSg1cgRIpUSv3QCAOjOTzDDDxEGTlYVSnpJv+6tKPrATr08nkB1+j+zwUJzbdUZqaUVK0BEAvEZORJWUQMK29QCkXzmPc/suKCLvkx12F3MvH9x6DiD9ygV9lzOJpRUWXsX05zD38MKyVGnU6WmoEgvfEiU/tAuPoeNRPAgjO+Iejq0/QmJpRdop3Yy0HsPGo0pOJOn3jQb72TdpRcbf59Ck5x9LalunEeq0FFSJ8ViU8MWt7zAyrpwn6+bVQseXGXwYh65DUT1+gPJRBDYNWiOxsCTriu4HsH23oWhSk8k4sgOArIsnsK7XErv2fck6dxSZmxe2TT8k81zuuAuLspVBIkGV8BSZiyd2H/REHf+U7CtnjMbwMrG/bcNvytdk3r1Lxt1beHbrhdTaioSD+wHw/XIayvh4Hq9ZCUDK2TN49uhNZtg9Mm7fwqp4cYoNGkbK2TP6BMChznsgkZAdHYVV8eIUHzGK7OgoEv/cX6QY43f9TonxU8gKCyXz3h3cPuqG1NKK5KMHASjx+RSUiQnEbFgDQNrFc7h17k5W+H0yQ29jWcwHz48Hk3rxrD5G78GfkHrhLDlxsZi7uuLZbyBoNMiDXs86mU+3baPM19PIuHuH9Fu38erVC6mVFfH7ddeg9LTpKOPjebhS11XNtmIlLNzdyQy7h4W7Bz5DhoBEytNfNhd0mkL5X3mtLS0tsbR89SVJfHx82LFjB82aNaNt27YcPHjwtUyg8eKs1BKJBM2z57V9+3YmTJjAwoULqV+/Pvb29syfP58LF/7hpFavIbaiuH79OpaWllSsqKt0WrduHT179qRhw4Z88cUXpKWl0bFjR5P7r127lqSkJKzzjFnVaDRcv36dmTNn6lstXwepVJqvwjBvF0rr1zBu9lUZex3+rW7nL5owYQJHjx5lwYIFlC1bFmtra7p162YwBlR4OZHkFdHOI0lYWUj4tI8XtjZS7oRnMXPZI5Sq3A+El7sFDna5ydD9qGzmrnrMx53c6dnOldgEJT//HsfJS7ofXxoN+PpY0qyeA7bWMpJSVITczmDLvgRUqlf/oDV7vyEpKSls2LKd5GQ5ZUr78d3Mr/TdNePiEwxq2hKTkhk+Jrff9W+79vLbrr1Uq1yJRXNzm+r/DrlOXHwCbVu1KPT1elHTxu+TkpLCpl+2kJycTOnSpZkza6a+u2Z8fDxSgxiT+PSzMfq/d+zcxY6du6hapTLzv5v7j+MxpnW9GiSnpbPqj0MkpqQSUNKHZROH4fpsMpaYxGSDGLMUOXy/8Q/ikuRYWpjj6+3J7BF9aV0vt4Xo1N+3mLkmd3KOL3/U/agZ2rk1w7u0fSPP4znHWpWpfzz3R1TFBV8C8HDTTq4PNl2z/E/FHzyCubMzvp99goWbG+l3Qrkx7FN9Vy4rb2+DMWBSS0t8PxuJdYniqDMzSTx1hruTvkKd9s+WSShI2rmTyBwccevRH5mTM4rICB7NnYr62WQs5q7uBi2EiTu3AlrcegZi5uKKOjWF9CvnSdi+QV/GqkwAJafnLs7uMUC33lZK0BFiVi4sdIwZF06TaO+Ic5d+mDk6o4iO4On8afrJWMxc3fP9Qzb38sG6XGWefG98DIuZkzNufYYgc3RCJU8mLfg4yUWcPEZx4yLptvbYtuiM1N4R1dNo5BsWos1IBUDm6GrQdVCTkoR8wwLs2/XBevQ3aFKTyTx7lMxTB/RlJFbW2LXujtTRGU1WBopbl8k48kduS1UhJZ84jpmTM8UGDdEv2h02cRyqZxM+WXp4GrzOTzZvQKvV4jN4OBbu7ijlyaScDebxz6v0ZWR2dvgMHYGFuweqtFTkJ4N4/PMqtAW0XBQk5dQJzByc8Px4oG4x9Ij7PJj2hb7rsLm7J9o8n5fYbZvRarV49R+MuasbqhQ5qRfPErMxdwyRuZs7JSd9jczBAVVKCpm3bnB/3KevbRmFpOPHMHd2oviQYZi7upIZdo+748bqJ5Cx9DS8rlJLC0oMH4FlsWKos7KQnztL+MwZqF/SclUY/4XX2pRSpUpx8uRJfaJ36NAho4le+fLlUalUXLlyRd+iFBoaWuCEJMY878b3vEsd6Ca+eNG1a9fIysrSJx7nz5/Xjw177sXE8Pz58/j7+xe5YrhcuXL8+eefBtuej9syxcfHB4VCwYULF3jvvfeQyWRs3bqVjh07MmzYMBYtWmQyeUpMTGTPnj1s376dSpVyZxlWq9U0atSII0eO0Lat7n+1SqXi8uXL+pbF59f+eXfZChUqcOHCBfr3z13+5/x5w14S7u7uBpObqNVqbt68qZ9QpUqVKmg0Gk6ePKnvrpnX8zkICmoprVChAiqVigsXLui7ayYmJhIaGqpPhN+UChUqEBwczIABuRPiBQcHG5zX3Nw8X/zBwcEEBgbqx6Smp6cTmWfYlPBqRJL3D2zdn8jW/aa7uwz7KiLftss3M7h8M8No+RyllhnLHr2W2Dp92I5OHxpfVylv4gbg5enB8X1/vPSYtWtWf6Vyr+qjDh/yUQfjaxa9mLh5eXpy+NlYiVf1OpK/nq3ep2cr4906fppquHbOp93b8Wl349f8uQ6N6+pbAv9tSacucsD87cz0+WTrrzzZ+qvRx64NMFy0OeXSFS536Fqo4794jKKQH96L/PBeo489nPWF4QaNhsQdW0jckX8mu+eybl8ntKfxdfaKKvXYflKPGW81eDI3f6KujHlMeP/2Jo+XcnQfKUcL97kqSNb542SdN946JF/7Xb5tqofhJK82vZaT4uYlFDdf77IU8bt2EL9rh9HHQse+sB6WWs3Tjet4unGd0fKgSyaST7yeFrHnEvfvInH/LqOPRUwea7hBoyZu60bitm40Wh4g+vt/Nq7mVcTu2EHsDuPX9c7ITw3+Trt6let9ehkt+zr9F15rU0qUKEFQUBDNmjWjTZs2HDp0SD+m7Lly5crRtm1bhg8fzsqVKzEzM2Ps2LGFbv3x9/dn06ZNHD58GD8/PzZv3sylS5fyLTmQk5PD4MGD+eqrr4iMjGT69OmMGjXKoGUrOjqa8ePHM3z4cP7++2+WLVumX+OvKIYPH86iRYuYNGkSgwcPJiQkhA0bNgCYXMKpUaNGNGjQgJ49e7JkyRKqVKnCrVu3ePLkCba2tmzdupXhw4cbXcph8+bNuLq60qNHj3zHb9euHWvXrtUneebm5owePZqlS5diZmbGqFGjqFevnj7pGzNmDIGBgdSuXZuGDRuyZcsWbt26ZTCmrnnz5owfP54DBw5QpkwZFi1aZJCk+/r6MmDAAAYNGsTSpUupVq0aUVFRxMXF0aNHD0qVKoVEImH//v20a9cOa2tr7F5YI9jf35+PPvqIoUOHsnr1auzt7Zk8eTI+Pj589NFHhX5NCmPixIn06NGDGjVq0LJlS/bt28fOnTsNZsr09fXl+PHjNGzYEEtLS5ydnfH392fnzp106NABiUTC119//Y9ad/+/EmPyBEEQBEEQ/scUL16coKAgEhISaNOmDampqfnKrF+/nmLFitGkSRO6dOnCsGHD8PAo3BqIw4cPp0uXLvTs2ZP33nuPxMREg1a951q0aIG/vz+NGzemZ8+edOzYMd8EMv379ycrK4u6desycuRIxowZ848WP/fz82PHjh3s3LmTqlWrsnLlSv3smqa6wUokEg4dOkS3bt0YP348FStWZMqUKQwePJh79+4RExND3759jSYN69at00/n/6KuXbuyd+9eEp5NGmZjY8OkSZPo06cPDRs2xM7Ojl9/za3M7NmzJ19//TVffPEFtWrVIioqik8++cTgmIMGDWLAgAH079+fJk2aULp0aX0r3nMrV66kW7dufPrpp5QvX56hQ4eSkaFrLPDx8WHmzJlMnjwZT09Pk5OSrF+/nlq1avHhhx9Sv359tFotf/75Z74umq9bp06d+OGHH1iwYAGVKlVi9erVrF+/nqZNm+rLLFy4kKNHj1KiRAlq1ND1fFq0aBHOzs40aNCADh060KZNG2rWrGniLIIpEu3b6nD7isaNG2d0MpQ3sb+xsh998s8W534T9qzMbY15dM/4IPK3rXhA7oKzkfdfzyLsr5tv2dyJaNIuHiig5NtjXze3FeZttcK9THtl7mfkZIXqby+QAjS5E6K//7pb116Xcr/mrmFXUOvb21RmU+7nJG5q4NsLxASPORv09y83KdwEB/+W2ifP6e9fb9f07QVSgKp/BunvX6j/numCb9F753K7Bf4XXuv/usDAQORyObt37zZZpmnTplSvXt1gHbw3Yc6cOaxatSrfmnSCIBgS3TUFQRAEQRCE/0krVqygTp06uLq6EhwczPz588U0+oLwCkSSJwiCIAiCIPxPCgsL45tvviEpKYmSJUvy+eefF7gMhfD6vTjOL6+DBw8WuCSF8PaIJE8QBEEQBEEw6flkJwUJCgp6I+devHjxPxq2I/xzISEhJh/z8fH59wIRCkUkeYIgCIIgCIIgGFW2bNm3HYJQBGJ2TUEQBEEQBEEQhHeISPIEQRAEQRAEQRDeISLJEwRBEARBEARBeIeIJE8QBEEQBEEQBOEd8j8/8YqVlRXjxo0r8v5xcXGvMRpBEARBEARBEIT/bf/zSd7cuXP/0f7/JEEUBEEQBEEQBEH4rxHdNQVBEARBEARBEN4hIskTBEEQBEEQBEF4h4gkTxAEQRAEQRAE4R0i0Wq12rcdxJs0btw4Fi9e/NrLCoIgCIIgCIIg/C/6n5945U2ZMmUK2dnZBtvETJyCIAiCIAiCIPzX/b9N8rKzs/O12omZOAVBEARBEARB+K/7f5vkvaoPh95+2yHks39NRf39uNuX32IkpnlUrK2//+jezbcYiWnFAyrr76f8fewtRmKaY82W+vsnK1R/e4EUoMmdEP39A+bl3l4gBWivDNXfv9Ks4VuMxLRaJ4L19xNnDHmLkZjmOuNn/f3EWcPeYiTGuU77SX8/tGebtxiJaeV+Pay/f7d767cYiWnlfz+iv3+5Sf23GIlptU+e098Paf3+W4zEtOpHTr/tEARB+H9MTLwiCIIgCIIgCILwDhFJniAIgiAIgiAIwjtEJHmCIAiCIAiCIAjvEJHkCYIgCIIgCIIgvENEkicIgiAIgiAIgvAOEUmeIAiCIAiCIAjCO0QkeYIgCIIgCIIgCO8QkeQJgiAIgiAIgiC8Q0SSJwiCIAiCIAiC8A4RSZ4gCIIgCIIgCMI7RCR5giAIgiAIgiAI7xCR5AmCIAiCIAiCILxDRJInCIIgCIIgCILwDjF72wH8l/Xt6E6b952wtZFx534mK7bE8CQup8B9XJ3MCOzqQa3KdlhaSHkal8OSDU+4H5WtL1Pcy4KBXT2pHGCDTCYh+qmCuSsfEp+keuXYdv55hG27D5AkT6GMb0nGDhlAxYAyRsvuPfIXh4POEBH9EIByZfwY1renQfmT5y6x5/AxQsMjSU1PZ92iOfj7+b5yPMbsPnCQ33buISlZThk/X0YPH0z5AH+jZSOjotmwZTv3wiOIjYvn0yED6frRhwZl+gweQWxcfL59O7Zry5hPhhYpxt+PnOSXfcdITEnFv6QPEwJ7UKmsr/HnczyYA6cvEPHoCQDl/Uryac+OBuXr9h5pdN/RfTrxcYdWRYqxWJ+elBg0AAs3V9Lv3uP+nO9Ju3HTaFmJmRklhw3C86MOWHp6kPkgkoiFP5B85qzR8iWGDKT052N4tGkL4XPnFym+wnBpVJvSnw/GsWZlrIp5cLnrp8TuPf7Gzwvg3qkLnj37YO7iQlb4faKXLibz7h2T5T269sC9Y2csPD1RpchJPhnE4zWr0CqffQdIpRQbMBiXVq0xd3FFmZBAwuE/idm8ocgxWtZphnXDNkjtHFHFPCTz4DZUjx+YLC+xssameWcsKtREYm2LJiWRjEO/ogy7AYDT2O+QObnl2y/74l9k/Lm18PHVbop1g9a6+GIf6eJ7Emk6PktrbJp3wqJ8TSTWNmhSksg4/CvK+7nvX6m9EzYtumBetjIScwvUSfGk792A+mlUoeMDcGrdAZcO3ZA5uaCIiiBu/Qqyw0NNlndu1xmnVu0xc/NAnZpK2oXTJGxbh1apBMC6QmVcOnTHys8fMxdXHs+fQfrlc0WKTR9jmw64duyujzF23Y9k339JjG0+xPx5jOdPE791rT5Gl069sH+vIRY+JdDm5JAVepv4LT+T8+RRkWN079QVr159MXdxITP8Pg9/WETG3dsmy3t064nHR52x8PTSfV6CTvBozUq0ObrPi9TaBp/Bw3B6vzHmzi5kht0jelnBn8GXcevQGY/uvTFzcSErIpzHPy4hM9T08dw7d8f1w05YeHiiSpUjP32Sp2tX6z/TFTf9hoWXd7794vfu5PHyxUWO878mMjISPz8/rl69SvXq1d92OIIgmCCSvCLq2taVDi1cWLzuMbEJSvp18mDW2JJ8Mi0cpUprdB9bGynzJvlyPTSTGT9Ek5KuppiHBemZan0ZL3dz5k3y5egZOVv2xpOZraZkMUtylMaPaczxM+dYvn4Ln48YRMWAMvy+7xCfz/qOrcsX4OzkmK98yK07tHy/PpXL98fC3IItu/bx+czv2LT0e9xdXQDIUmRTpUI5mjWsx7wVPxfyauV34nQwq37ewNiRwykf4M/OvfuZNG02G1YtMxpjtiIHby9PGjdqwMqf1xs95opF36PRaPR/P4iK5ouvZ9GkUf0ixXj03BWWbN7J5MG9qFTWl+0HT/DZd8v5feF0XBzt85W/cucebRrUpmqAHxbm5mzad5TRc5ezff5XeLg4AfDnym8N9jkXcptvftpC87o1ihSj+wetKTPpc+7NmEPa9Rv49O9LlTUruNTuI5RJyfnK+44ZiWeH9tybNovMiAc4N2pApWWLCOkzgPQ7hj8i7StXwrtnN9Lvmv5x+brJbG1IvR7Kww1/UHvHj//aeZ2btaD4J6OJXjyfjDu38ejWA/95i7jVvzcquTx/+Rat8Bk2gsh5c8m4eQPLEiXxnTQV0PJoxTIAvHr3w/2jTjz47huyHzzAplx5fCdNRZ2RTvzOHYWO0aJSHWzb9CBj/y+oHkdgVa8l9v3GIl/+FdqMtPw7yGQ4fDweTUYaab+tQpOWjNTRFW12pr5Iyk/fgDS3Q4eZhw8O/T9HcftK4eOrWBvb1t3JOLAF1eMHWL3XAvu+Y5D/OA1tppH4pDIc+o1Dk5lG2o5VaFLlSJ0M45NY2eAw8AuUkaGkbV2KJjMNmYunQZnCsK/fBPf+w4j9eRnZYXdxbteZ4l/O4cG4wahTU/KXb9gMt96DiFm1iKx7t7Hw9sH7kwmg1RK/+Sfd07C0QhEVQcqJw/hMmF6kuAzO2aAJHgOGE/vTUrLu38WlfRdKTP2WiDGDUafK85V3aNQM976DiVm5kKzQ25h7F8d75ARAS9zG1QDYVKqC/PBesu7fQyKT4d5nICW+mkvEuKFoFdn5jvkyzs1aUGLkZ0QtmkfG7Vt4du+J/4LF3OzXC5U8//eOS8vWFB/2CZHzviX95nWsipfEd8pXaNHy6MelAPh+MQVrv9I8mDMLZWICrq3aELBwKbcG9EGZkL/y7mWcmjSn2PBRPFq6kIy7t3Hv0p3S3y7k7uA+Rj/TTs1a4j14ONELvyPz9k0si5eg5IQvQavlyerlAISOHoYkz+fFytePst8vIeXUiULHZ0x8fDzTpk3jwIEDxMbG4uzsTLVq1Zg2bRoNGzZ8Lef4tzRt2pTq1auzZMkSg+0bNmxg7NixyI28BgLMmDGD3bt3ExIS8rZDEd4BortmEX3UwoVfDyRw4Vo6kY8VLFr3GBcnM+rXyP/j/7lubd1ISFbxw4Yn3IvMJjZBydXbGcTEK/Vl+nfy4PKNdNb/EUfEw2xi4pVcvJZOSpra5HFf9Oveg3Ro1Yz2LZrgV6I4E0YMwsrSkgPHTxotP23cSDp/0Ap/P19KFS/GpE+HotFquHL9lr5M26bvM7BnF2pXq/zKcRRkx+59tGvTkrYtm+NbsgRjPx2OpaUlh44ab7UpH1CW4YMG0LxxI8zNzY2WcXJ0xMXZWX87f+kKxby9qFa5UpFi3HrgOJ2aN6BD0/qULu7N5MG9sLKwYF+Q8Vr62aMG0q11YwJ8S+Dr48XUYX3RarVcupmbJLk5ORrcTl65Tq2K/vh45m9NeRXFB3zM0993ErtrD5nhEYTN+AZNdjZeXToZLe/ZsT3RP60l6dQZsh895un230k6dYbigf0NykltrCk//1vuTZuFKtXID/Q3JP7wKe5NX0LsnmP/2jkBPLv3JOHAPhIP/Ul2VCTRi+ajyVbg+sGHRsvbVapC+s0bJB8/Sk5sDGmXL5L811Fsy1fQl7GtVBl58GlSz58jJzYG+akgUi9fxLZ8xSLFaFW/FYq/T6MICUYd/5SM/b+AMgfLGo2Mlres0QiJtS1p239E9fA+Gnkiqqh7qGNzW2+0melo01P1N/OAqqiT4lBFFj6x18V3BsW1s6gTnpJxYMuz+Iz/OLWs0VAX368rUD0MR5OSPz7rhm3QpCaTsXcjqieRaOSJKCNuo0ku/I9+AOf2XUg5fojUoCPkPI4m9uelaHIUODZrY7S8dUBFskJvkRZ8AlV8LJnX/yb1bBBWZcvpy2SEXCbh142kXzLeGl5YLh92JeX4QVKCjpDzKJqYn37QxdjcRIzldDGmnjmBMj6WzOtXSAs+YRDjozlTSQk6Ss6jKBRRETz9cQHm7p5YlTbec+JlPHv0JmH/XhIPHiA7KpKohfPQZCtwa1fw5yXp2BFyYmJIvXyRpONH9Z8FiYUlzo2b8mjVj6RfD0Hx+BFPNqxF8fgR7h91LlKM7l17knhwH0lH/kQRHcmjHxagUWTj0qa90fK2FSuTcesm8hPHdJ/pK5dIPnEMm3K5n2l1ihxVcpL+5vheAxSPH5F+PaRIMb6oa9euXL16lY0bN3Lv3j327t1L06ZNSUxMfC3Hf1fk5BTcY0oQBB2R5BWBp5s5Lk7mhNxJ12/LzNIQGpFF+dLWJvd7r5o9YZFZTB5enF8WBvDD1360ed9J/7hEArWr2vEkNodZY0vyy8IAFk7xo15104nji5RKFffCH1ArTzImlUqpXbUyt0LDXukYihwFKrUaezvbVz5vYSiVSu7dD6dmtaoGMdasXpXbofde2zmOnThF25bNkUgkhd9fpeLug4fUqVzeIMY6lctzIyzilY6RrchBpVLjYGdj9PFEeSrBV2/SsVmDQscHIDE3w75SBZLPXcjdqNWSfO4CDtWrGt1HamGBRqEw2KbJVuBYy7Al0f/rL0k6eRp53mO/oyRmZtgElCP1yqXcjVotaX9fxq6S8UqN9Fs3sAkoh82zpM7CuxgO79Un5cJ5fZmMWzexr1kby+IlALAuUxa7ylVJvXje6DELJJNhVqwUORF5usNpteRE3MG8eGmju1iUq47qUQS27fvgPGERjp/OxPr9drovGhPnsKxaD8XVM4WPTyrDzLskOQ/ydoXTkvOggPgCqqF6FI7tB71xHr8AxxHTsW70gUF85gHVUD2Jwq7bcJw/X4Dj0K9MJrUvJTPDqrQ/mTf+zhOilswbV7HyN554Z927jVVpf6zK6BImcw8vbGvUIePqJaPl/zEzXYwZ168axnj9KtYBFYzukhX6LMayeWOsS8bfF02eRmqj+25Xpxe+AkdiZoatkc9L6pVL2L7k8/I8qbPwLoZjvQakXNBVmElkMiRmZmhe+PGuUSiwr1KtSDHa+AeQfjVPi7RWS/rVy9hWMF7pl3H7Jjb+AfqkzsLLG4e69Ux+XiVmZji3aE3i4T8LHZ8xcrmc06dP8/3339OsWTNKlSpF3bp1mTJlCh07djQoN2TIENzd3XFwcKB58+Zcu3YN0LUEenl58e23uT1Gzp49i4WFBceP6ypQAwMD6dSpk8G5x44dS9OmTfV/Hzp0iEaNGuHk5ISrqysffvgh4eHhr+V5vig8PJyPPvoIT09P7OzsqFOnDseOGVby+fr6Mnv2bPr374+DgwPDhg0DYNKkSQQEBGBjY0Pp0qX5+uuvUSpzK82vXbtGs2bNsLe3x8HBgVq1anH58mUAoqKi6NChA87Oztja2lKpUiX+/FP3WgYFBSGRSDh8+DA1atTA2tqa5s2bExcXx8GDB6lQoQIODg706dOHzMzcXgUajYa5c+fi5+eHtbU11apVY8eO3F4bz497/PhxateujY2NDQ0aNCA0VFeptmHDBmbOnMm1a9eQSCRIJBI2bNjwRq678P+D6K5ZBM6OussmTzVsXZOnqXByNH1JvdzNadfUmd1Hk/jtzwT8fa0Y1ssLpUrLX+dScLSXYWMlo9sHbmzeHcf6P2KpVcmOLz8pzpcLo7h57+VdlFLS0lBrNLg4GnZ5dHZyIOrxk1d6fis3bcfN2fm1tdq9KCU1DY1Gg7Ozk8F2ZydHHj56/FrOEXz+IukZGbRp0axI+8tT059dR8ME28XRnqgnMa90jOVbd+Pm7EjdPIliXgdOXcDWyopmdaoXKUZzJ2ckZmYoX6jlVSYmYmNivGTSmXMUD/yYlMt/kxX9EOf67+HWqjkSmUxfxr1dG+wqlufv7n2LFNd/jZmjExKZGarkJIPtyuQkrEqWNLpP8vGjmDk6Um7pSt0/YzMz4vfsImbLJn2ZmK2bkdnYUGnjVtBoQCrlydqfSDp2pNAxSmzskEhlaNNTDbZrM1KRuHkZ3Ufm7IbUrzyK6+dJ3fIDMhcPbNv3BamMrJP78pW3KF8DiZUN2SHBRY8v48X40pC45R/DpIvPXRffjQukbluKzNkD23Z9dPGd2q8vI6vdhKzzR8k68ydmxXyxbdsL1GoU1ws37k3m4IBEJkOVIjfYrk5JxqJYCaP7pAWfQGbvQMlZCwHd6yw/sp+k3dsLde5XZWb/PEbDLo+qlGRsfIzHmHrmBDJ7R0rNXqSPMfnIPhJ3mYhRIsEzcASZd2+S8zCy8DE6Oum+d174vKiSk7AqWcroPknHjug+L8tXgUSC1MyMuD07ifllIwCarEzSb96gWP+BRERFokxOwqVFK+wqVUbxuPDjBmUOjkhk+WNUJidjWcJ4jPITxzBzdKTsoh/1n+mEfbuJ277ZaHnHBu8js7Mj6UjBSZ5CoUDxQsWapaUllpaWBtvs7Oyws7Nj9+7d1KtXL9/jz3Xv3h1ra2sOHjyIo6Mjq1evpkWLFty7dw93d3fWrVtHp06daN26NeXKlePjjz9m1KhRtGjRosA488rIyGD8+PFUrVqV9PR0pk2bRufOnQkJCUEqfb1tA+np6bRr1445c+ZgaWnJpk2b6NChA6GhoZTM8/27YMECpk2bxvTpuV2i7e3t2bBhA8WKFePGjRsMHToUe3t7vvjiCwD69u1LjRo1WLlyJTKZjJCQEH1PoJEjR5KTk8OpU6ewtbXl9u3b2NnZGcQ2Y8YMli9fjo2NDT169KBHjx5YWlqydetW0tPT6dy5M8uWLWPSpEkAzJ07l19++YVVq1bh7+/PqVOn6NevH+7u7jRp0kR/3KlTp7Jw4ULc3d0ZMWIEgwYNIjg4mJ49e3Lz5k0OHTqkT3QdHfMPXxGEVyWSvDysrKwYN24cixcbDqBu+p4DI/sV0/89c1l0kY4vkUi4H5nFpl1xAEQ8zKaUjyXtmjjz17kUpM9qsM+HpLHnmO6f04OHCiqUseGDJs6vlOT9U7/8sZfjZ86xdPZXWFpYvPHzvSkHjx6nbq0auD0bU/hv27jnCEfPXWHl12OxtDDevXTfyXO0aVjH5ONvQvi38wiYNY06B3aBVkvWw0fE7NqLV5ePALD08qTslC+4PniEfkIEIT+7ajXw7tuf6CULybhzCyuf4pQYNQavjwP1E6s4N22OS8vWPPhmBlmRD7Ap60+JkWPISUwg6fDBNx+kRIImI5WMfZtAq0X9NAqpgxPWDdoYTfIsazRCGXYTbVr+sWlvLr40MvZvfhZftC6++m30SR4SCaonUWT9tRsAdcxDZO7FsKzduNBJXlFYV6yKa+dexK5dTlbYXSy8iuER+AmuyX1I3Fn4iWneBJuKVXHt0ouYNcvIvn8Xcy8fPAd+gqprEol/bMlX3nPIKCxL+BL19fh/LUb76jXw7jtAP+bV0qc4JUaPxbv/QJ5u0o2xfjBnJr6TplJt5z60KhWZYfdIOn4Um3LGK8leN7uq1fHs9TGPli0i8+5tLH188PlkDJ5JA4jdsjFfeZe2H5J66QKqpIK7Us6dO5eZM2cabJs+fTozZsww2GZmZsaGDRsYOnQoq1atombNmjRp0oRevXpRtaquZ8aZM2e4ePEicXFx+iRwwYIF7N69mx07djBs2DDatWvH0KFD6du3L7Vr18bW1pa5c+cW6lp07drV4O9169bh7u7O7du3qVz51St/V6xYwc8/G47hV6lUWFlZ6f+uVq0a1arlttbOnj2bXbt2sXfvXkaNGqXf3rx5cz7//HODY3311Vf6+76+vkyYMIHt27frk7zo6GgmTpxI+fK695C/f2735OjoaLp27UqVKlUAKF06f4+Db775Rj8WcvDgwUyZMoXw8HB92W7dunHixAkmTZqEQqHg22+/5dixY9SvX19/zDNnzrB69WqDJG/OnDn6vydPnkz79u3Jzs7G2toaOzs7zMzM8PIyXnknCIUhkrw8TH0RXghJJzQit6uCubmuJsvJQUZySu6Ml072Zjx4aHoQe3KKkuinhjV6D5/m0LCmAwCp6SpUKi0PXywTo6BiWeNd/l7kaG+PTColKcXwh1qyPBVXIxOa5LVt9wG27NzH4plTKOtrvAXjdXB0sEcqlZKcLH8hxhRcXmjdK4rYuDj+vnaDGVMmFvkYTg52z66jYXempJQ0XJ0cCtz3l/3H2Lj3CMu/HI1/KR+jZa7evU/Uk1jmfDaoyDEq5cloVSrMXV0Ntpu7upKTkGB8n+Rkbo0eh8TCAnMnJ3Li4vD7fAzZz1pQ7SpVxMLNlVp/bNPvIzEzw7F2TXz69ORUtbq6Vql3iCpFjlatwszZsELA3NkFZVKS0X2KDRpK4pHDJP6pS5ayH0QgtbKi1OeTdK0TWi3FR4wkZtsvJJ84ri9j4emFd5+PC53kaTPT0WrUSOwM33sSWwe06caTMk1aClqNGrS5kzap458itXcCmQzUuT0RpI4umJeuSNqvKwoVV774bF+Mz950fOkpaNUvxJcQg9TeEaQy0KjRpKWgjjfsgaBOiMGyQs1Cx6hOTUWrVmPm6GSwXebobHSyEAC3HgNIPXWclL8OAZDzMBKppRWew8aQuGubQeyvgyrteYzOBtvNHJ1RyY2/F916DSAlT4yKaF2MXsPH6BLRPDF6Dh6JXc16RE//HFWS8e+Il8aYItd977zweTFzdkFpIuEpNngYiUcOkXBA93nJigjXfV4mTObp5g2g1aJ48pjQMZ8itbJCZmOLMimR0tNno3hS+N4d6tQUtOr8MZo7O5tMyrwGDCH5+BGSDukqGLIjI5BaWVNizERit24yuI7mHp7Y16jFg1lfGT1WXlOmTGH8eMOE2lQrXdeuXWnfvj2nT5/m/PnzHDx4kHnz5vHzzz8TGBjItWvXSE9Px/WF7/ysrCyD7pQLFiygcuXK/P7771y5csXk+UwJCwtj2rRpXLhwgYSEBP2EZtHR0YVK8vr27cvUqVMNtu3cudOgO2l6ejozZszgwIEDPH36FJVKRVZWFtHRhpXptWvXznf8X3/9laVLlxIeHk56ejoqlQoHh9zvoPHjxzNkyBA2b95My5Yt6d69O2XK6GYN/+yzz/jkk084cuQILVu2pGvXrvpk+rm8f3t6euq7hebddvGirlv0/fv3yczMpFUrw1myc3JyqFHDcDhE3uN6e+t6OsTFxRm0XArC6yDG5L2CLIWGp/FK/S36iYIkuZLq5XPHrFlbSSlX2pq7EVkmj3P7fhbFvQy/bH08LYhL1PUhV6khLDILH08Lk2VextzcjIAyfgaTpmg0Gq7cuEmlcqYH2W/ZtY+Nv+9iwbQvKF/W+Bia18Xc3JyAsmW4ev2GQYxXr12nYrmAf3z8Q8dO4OToQL06tYoeo5kZ5f1KGEyaotFouHwrlCr+pq/Ppr1HWbvzID9MHknFMsa7BQHsPXGW8n4lCShVvMgxapUq0m7dwble3dyNEgnO9eqSGnK94H1zcsiJi0NiZoZ7qxYkHg8CQH7uApc6duVyl576W+qNW8Tt/5PLXXq+cwkeoGs1uBeKQ808PyIkEuxr1iL9lvGlKKRWlqA1vBba59fmWYu81NIqd9tzGo3pMXEFUatRPYnC3C/PuCyJBPPS5VE+Mj5GVPnwPjIXD4PzyVw90aTJDRI80LXiaTNSUYYV/L4xSaNG9TQac7+8rS4SzP0qvCQ+dyBPfC4euvg0uvhUD+8je6E7qszVE3WK8YSnQGoV2RFh2FTJ84NLIsGmcnWyw4xP/S+1tET7QiKX+5oW4XV8GZUuRtsq1Q1jrFKdrHvGp/6XWlrl+1xqn12/vK+95+CR2NVtSPTMiSjjXq3LuTFalYqMe6HY1zL8vDjUrE2Gqc+LpRVarZHPwgsxAmiys1EmJSKzs8ehznvIg08XKcbMsHvYVc/zP0Aiwa56LTLu3DK6j9Qq/+dVq85/HQFc27RDJZeTeuHlrcmWlpY4ODgY3ApKuqysrGjVqhVff/01Z8+eJTAwUN9FMT09HW9vb0JCQgxuoaGhTJyYW6kZHh7OkydP0Gg0REZGGj5PqTTfezrvODaADh06kJSUxJo1a7hw4QIXLujGZhd2whNHR0fKli1rcPPw8DAoM2HCBHbt2sW3337L6dOnCQkJoUqVKvnOZWtrOEfAuXPn6Nu3L+3atWP//v1cvXqVqVOnGuw3Y8YMbt26Rfv27fnrr7+oWLEiu3btAmDIkCFERETw8ccfc+PGDWrXrs2yZcsMzpF3kjeJRJJv0jeJRKJPgNPTdXM0HDhwwOC1uX37tsG4PGPHBQxmBheE10W05BXRnuNJ9GzvzuO4HN0SCh+5kyRXce5qbsvPnPGlOHc1lf0ndLXEe44lMn+SH93buXHmUgoBfta0bezM8s25NdU7jyTyxbDi3ArL5PrdDGpVtqNuVXumLIh85dh6dvyAb5eupnwZPyr4l+H3/YfIylbQroWue8A3P6zEzcWZER/3AmDLzn2s3baDaeNH4uXhTuKzFjZrKytsrHXdKlLT0olNSCAhSfdY9OOnALg4OeFahNa3bp068P3iZQSULUP5AH/+2LOf7GwFbVo2B+C7RUtxc3VhyIB+gO6fUNRD3dgMlUpFQmIi9yMeYG1lhU+x3DE/Go2GQ8f+onXzpsjyjDMrij7tWzBz5SYqlC75bAmFv8hSKPiwST0Apq/YiIezEyN767o6btx7hJ9+P8DsUYF4u7uQINe1YNhYWWKTp3tKemYWxy9cZUzfLv8oPoBHGzdTfu5s0m7eJu3GTXz690VqbU3Mrj0AlPtuNjmxcTxYrPvnZV+1MpaeHqTfCcXS04NSI0eAVEr02g0AqDMzyQwzHGCvycpCKU/Jt/1NkNnaYFs2tzbTxq84DtXKk5OUQvbDp2/svLG//4rv5Klk3LtL5rMlFKRWViQeOgCA75SvyIlP4MnPqwBIORuMZ/deZIbd03c/KzZoKPJzwfofr/JzwXj3G0BOXKxuCQX/ADy69yTx4IEixZh97ih2nQehfhKlW6KgXksk5pYorurG0Nl1HoQmVU7m8Z0AKC4FYVW3OTZte5F98S9kLh5Yv9+e7AsvzGArkWBZvSGKa+f+URKffe4odp0G6uJ78gCr91oiMbdA8WyMn91HA9Gkycn8S/cjS3H5JFZ1mmHTtqcuPldPrBu1I/viX/pjZl04huPAyVg3+gDFrcuY+fhhVfN90vcbHyf1MskHduL16QSyw++RHR6Kc7vOSC2tSAnSjZP0GjkRVVICCdt0XQjTr5zHuX0XFJH3yQ7TdYV06zmA9CsX9Em+xNIKC6/c7vzmHl5YliqNOj0NVWLhZwFN2v8H3iMnkhUeRvb9uzi376KL8cRhALxHTUSVlEj81nW6GC+fx/nDLmQ/CH/WXbMY7r0GkH7lvP719BwyGodGzXg0bzqa7CxkTrqWQk1mRpG6Zcf+tg2/KV+TefcuGXdv4dmtF1JrKxIO6lrBfL+chjI+nsdrVgKQcvYMnj166z4vt29hVbw4xQYNI+XsGX2MDnXeA4mE7OgorIoXp/iIUWRHR5H45/5CxwcQ/8evlJz4JZlhd8m8ewf3Lt2RWlmT9GyilJITp6JMTODpOt0yE6nng3Hv0pOs8DAy797GopgP3gOGkHI+2PBzIZHg0rodSUcP6isj3qSKFSuye/duAGrWrElMTAxmZmb4+voaLZ+Tk0O/fv3o2bMn5cqVY8iQIdy4cUOfXLm7u3PzpmEynnesWmJiIqGhoaxZs4b3338f0HUTfVOCg4MJDAykc2fdLKrp6en5ElNjzp49S6lSpQxaCqOi8q+dGRAQQEBAAOPGjaN3796sX79ef64SJUowYsQIRowYwZQpU1izZg2jR48u0vOoWLEilpaWREdHG3TNLCwLCwvU6jf/vhL+fxBJXhH9cSgRKwspoz8uhq2NlNthmUz7IdpgjTwvd3Mc7HIvcVhkNnNWPmRAZw96f+hGbIKSNb/GEHQhd7KCc1fTWPHLU7p/4MqwXl48js3h25UPuX3fdAvhi1o0qo88NY2123eQlJxCWb9SLJg2CZdn3TVj4xMNZpzcfegYSpWKr+f9YHCcgT27MKiXrm/+mUtXmLvsJ/1jMxYuz1emMJq935CUlBQ2bNlOcrKcMqX9+G7mV/rumnHxCQYxJiYlM3zMBP3fv+3ay2+79lKtciUWzZ2l3/53yHXi4hNo2+rVB5mb0qp+LZJT0/hpx34S5WkElPLhh8kj9d01YxOS9eMoAXYePY1SpWLyEsMxCEO6tmNYt9xpu4+eu4JWq6VNw/zdTwor/uARzJ2d8f3sEyzc3Ei/E8qNYZ+iTNS1dFh5e4Mm9z0ptbTE97ORWJcojjozk8RTZ7g76SvUaf/eMgkFcaxVmfrHc3/AV1zwJQAPN+3k+uApb+y8ySeOY+boRLHAIc8WQw8jbNLnqJJ1FTQWHp5o81zHp5t1XTKLDR6GhZs7Knky8nPBPPk59zPycOliig0aSskxEzB3dtYthr5vj34MUmHl3LpEpq0d1s0+QmrngCrmIWm/LNFPdiJ1dDWoodekJpO2eTE2bXvi9MkMNKnJZF84RtYZw66i5qUrIHNyJbsos2rmje/2ZTJt7bFu2lEXX+wj0rYu1a/hJ3V0yR/flh+wad0DpxHT0aTKyb54nKzgQ/oy6idRpP22ApvmXbBu/CHq5AQyDv9Kzk3TM0cWJO3cSWQOjrj16I/MyRlFZASP5k5F/WwyFnNXd4Mf9Lpxd1rcegZi5uKKOjWF9CvnSdi+QV/GqkwAJafP1//tMWAEAClBR4hZubDwMZ7VxejeMzfGh3PyxOjmYdB1MOGPLWi1Wtx7D8DMxU0X4+XzxG/LfZ85t+kAQKmZhvE8/XE+KUFHCx1j8onjmDk5U2zQEMxdXMm8H0bYxHH6z4ulh6fBdXyyeQNarRafwcOxcHdHKU8m5Wwwj59VmgDI7OzwGToCC3cPVGmpyE8G8fjnVbmtaYUkP/kXZo5OePcfjJmzC1kR94mYOkHfNdfCw9PgOsZs2YRWq8V7wBDM3dxRpchJOR9MzPo1Bse1r1kbC08vfbL4uiQmJtK9e3cGDRpE1apVsbe35/Lly8ybN4+PPtJVJLZs2ZL69evTqVMn5s2bR0BAAE+ePOHAgQN07tyZ2rVrM3XqVFJSUli6dCl2dnb8+eefDBo0iP37dcly8+bNmT9/Pps2baJ+/fr88ssv3Lx5U9+l0NnZGVdXV3766Se8vb2Jjo5m8uTJr/W55uXv78/OnTvp0KEDEomEr7/++pVatfz9/YmOjmb79u3UqVOHAwcO6FvpQNeFdeLEiXTr1g0/Pz8ePXrEpUuX9OMNx44dywcffEBAQADJycmcOHGCChWMz2D7Kuzt7ZkwYQLjxo1Do9HQqFEjUlJSCA4OxsHBgQEDBrzScXx9fXnw4AEhISEUL14ce3v7Qne3FYTnJNoX2+3fMcYmUilo+4s+HGq8G8/btH9N7nTfcbcvv8VITPOomJvAPLpnvAvP21Y8IHdsQcrf/+66bK/KsWZL/f2TFaq/vUAK0OROiP7+AfNypgu+Re2Vud1urzT731xUuNaJ3FktE2cMkXu3DQABAABJREFUeYuRmOY6I7cCI3HWsLcYiXGu03KT7NCexteVe9vK/XpYf/9u99ZvMRLTyv+eOwPs5Sb132IkptU+mdtVMqT1+28xEtOqH3n1rqYKhYIZM2Zw5MgRwsPDUSqVlChRgu7du/Pll19iba1bniktLY2pU6fyxx9/6JdMaNy4MXPnziU8PJxWrVpx4sQJGjXSLTUSGRlJtWrV+O677/jkk08A3cQvq1evJjs7m0GDBqFUKrlx4wZBQUEAHDt2jM8++4yIiAjKlSvH0qVLadq0Kbt27aJTp05ERkbi5+fH1atXqV69utHn86qLoUdGRjJo0CDOnz+Pm5sbkyZN4vfffzfY19fXl7FjxzJ27FiDY33xxResW7cOhUJB+/btqVevHjNmzEAul5OTk8OAAQMIDg4mNjYWNzc3unTpwvz587GysmL06NEcPHiQR48e4eDgQNu2bVm8eDGurq4EBQXRrFkzkpOTcXJyMho35F+4XKvVsnTpUlauXElERAROTk7UrFmTL7/8ksaNGxs9bkhICDVq1ODBgwf4+vqiUCjo27cvx48fRy6Xs379egIDA1/5fSQIeYkk7yVEklc0Isl7PUSS93qIJO/1EEnePyeSvNfjXUvyBEEQXjcx8YogCIIgCIIgCMI7RCR5giAIgiAIgiAI7xCR5AmCIAiCIAiCILxDRJInCIIgCIIgCILwDhFJniAIgiAIgiAIwjtEJHmCIAiCIAiCIAjvEJHkCYIgCIIgCIIgvENEkicIgiAIgiAIgvAOEUmeIAiCIAiCIAjCO0QkeYIgCIIgCIIgCO8QkeQJgiAIgiAIgiC8Q0SSJwiCIAiCIAiC8A4RSZ4gCIIgCIIgCMI7RKLVarVvO4g3ady4cSxevPiVtwuCIAiCIAiCIPyXiZY8QRAEQRAEQRCEd4hI8gRBEARBEARBEN4hZm87gP91H30S+rZDyGfPynL6+yl/H3uLkZjmWLOl/n78rQtvMRLT3Cu9p79/48NmbzES06rsP6G/H9qzzVuMxLRyvx7W37/SrOFbjMS0WieC9fcPmJcroOTb016Z+12TsXrqW4zENNvhc/T3z79X9y1GYly9Cxf198P6tnuLkZjmv+VP/f3/wuflUqN6bzES0+qcOa+/f7Z2nbcYiWkNLl962yEIgvD/mGjJEwRBEARBEARBeIeIJE8QBEEQBEEQBOEdIpI8QRAEQRAEQRCEd4hI8gRBEARBEARBEN4hIskTBEEQBEEQBEF4h4gkTxAEQRAEQRAE4R0ikjxBEARBEARBEIR3iEjyBEEQBEEQBEEQ3iHv/GLoVlZWjBs3Lt/2uLi4txCNIAiCIAiCIAjCm/XOJ3lz5841ut1Y4icIgiAIgiAIgvBfJ7prCoIgCIIgCIIgvENEkicIgiAIgiAIgvAOEUmeIAiCIAiCIAjCO+SdH5P3JvX50JVWjZywtZZyNyKLlVtjeRqvLHAfF0czBnR2p2YlWywtJDyNV7Js01PuRysA+Ky/Fy3qOxrs8/etDGYuf1So2H4/cpJf9h0jMSUV/5I+TAjsQaWyvkbL7j4ezIHTF4h49ASA8n4l+bRnR4PydXuPNLrv6D6d+LhDq0LF9twfB4+xbfefJMlTKONbgnFDPqaifxmjZfcePcGhoGAionXXoVwZX4b37a4vr1Kp+GnrH5z/+xpPYuOwtbGhdtVKfPJxD9xcnIsUH4BL+064d+mJmbML2Q/CebJ6KVn37pos79qxK67tOmLu7okqNYXU4JPEbFyDVql7X3j0GYBnn0CDfbIfRhP2yYAix+jUugMuHbohc3JBERVB3PoVZIeHmizv3K4zTq3aY+bmgTo1lbQLp0nYtk4fo3WFyrh06I6Vnz9mLq48nj+D9MvnihwfgHunLnj27IO5iwtZ4feJXrqYzLt3TJb36NoD946dsfD0RJUiJ/lkEI/XrEKrzNEVkEopNmAwLq1aY+7iijIhgYTDfxKzecM/ivNlXBrVpvTng3GsWRmrYh5c7vopsXuPv9Fz5vVryH02Xb5HYkY2Ae6OfNGsBpW9XYyW3XsrkhmHLxtss5BJOT+mi8G2iMRUlp6+wd+P4lFptJR2dWB+h/p4O9gUOj7Pbt0o1rcf5q6uZIaF8WDhAjJu3zZaViKTUSwwEPd27bFwdycrOpro5ctIOX9eX8a+eg2K9euHbfnyWLi7EzpxIsmnThY6rrwcW32Ic/uuyBydyYl+QNzGlSgi7hkt6zP1O2wqVs23PePqRZ4smAGAzMEJt94DsalSE6mNLVl3bxK/cRXK2CdFjvG/8Hnx6NIVr979MHdxITP8PtGLF5Jxx/hrDeDZvSfunbtg6emJSp5CUtBfPFq9Em2OLkaptQ0+Q4fh3LgJ5s7OZN67R/QPi8ko4Hm/jFf37hT7uB8Wrq5khIXxYP580m+Zfj/6DByIx4fP3o9RUUQtW478XO53n09gIK7NmmHtWwqNQkHq9etELVtOdlRUkWMUBEF4U0RLXhF1ae1C+2bOrNway8R50WQrNMz4rDjmZhKT+9jaSPluYknUai2zlj9i1KxI1v8RR3qmxqDclVvpDJh0X39bsK5wPxaOnrvCks07GdK1HZu+nYx/qeJ89t1yklLSjJa/cucebRrUZuVXY1g7cwKers6MnrucuCS5vsyfK781uH09vB8SiYTmdWsUKrbnjp85z/L1WxnYoxNrF8yirG9Jxs+aT7I81Wj5qzfv0rJRPZbNmsLqudPwdHVl/Mz5xCcmAZCtyOFeRCQDun/EugWzmfPFZ0Q/ecqkuYuLFB+A4/vN8B7yCXHbNnJ/zDCyH4TjN2seMkcn4+WbtMArcBix2zZx75MBPF46H8f3m+E1YKhBueyoB9zp10V/i5g0usgx2tdvgnv/YST8sYWoySNRREVQ/Ms5yBwcjZdv2Ay33oNI2LGFB+OHErN6EQ71m+DWa6C+jNTSCkVUBLHrlhc5rrycm7Wg+CejebpxHXeGDSIz/D7+8xZh5uRkvHyLVvgMG8GTTeu4NaAPkfO/w7lZC3yGDteX8erdD/ePOhG9dBG3BvTh0U8r8OrVF/cu3V5LzKbIbG1IvR7Kzc9mvtHzGHM49CGLTl5nWL2KbO3XEn93J0buPE1SZrbJfewszDgy/EP97cCQdgaPP5SnM/jXIHxd7PmpRxN+7d+KofUqYGlW+H8Nri1bUmrMWB6t/ZkbA/qTcT+MCj8sxczZeCVLiRGf4NmpM5ELF3CtV0/idu6k3PfzsAkI0JeRWVvpf5y/Dnb1GuPWdyhJO7fy8KvRKKIj8Jk82+Tn5emSb4j4tK/+FvXFCLRqNWkXz+jLeI//GnMPb54smkX01NGoEuLw+fJbJJaWRYrxv/B5cWnekhKjxvBk/c/cGjyAzPthBCxagpmT8dfapVVrio/4lCfr13Kjb28efDcHlxYtKT7sE30Zv8lf4linLhGzZ3Kzfz9SLl0kYMkyzN3cixSja6tW+I4by6M1P3Ot38dk3Auj4rJlmJt4P5b89BM8u3QmYv58rvboScwfOyk3fx625XLfjw41a/L099+5PnAQt0aOQmpmRqXly5BaWRUpxv+Su3fvUq9ePaysrKhevfprO+6GDRtwMvHeLgyJRMLu3bv/8XHyatq0KWPHji2wzE8//USJEiWQSqUsWfJ/7N11eFPn28Dxb6RN6u4UirTFXTeGuwx3h8HQoUMmwJhv+Nhggw0bU1w2GA4rUlxLW0pLqVtSb9o0ef8opIQmQDsYv/E+n+vKdSUnz3nO3ZNzmtznkbP8mW5fEP4pkeSVUfc2Tvz+ZyrBV7O4G6th+YYEnB3kNK1ra3adPh2cSVEVsHJzAuF380hKLeBySA4JKcatfwUFetQZhYZH9iNJ4JP8tO8wPdu8QvdWzahUzou5YwaitLRkzzHTrTEfTh5F3w4tCPDzxc/Hk3fHDUGv13PuenFrkKujg9Hj+IWrNKjuj4+Ha6lie+CXPfvp3r4VXdu2oKKvD2+/ORKlQsHeI6av0i+YPoHendvhX7ECFcp5M2fiGHR6HeevFl2VtbWxZvnCObR9tQnlfbyoGViFGW8MJzQiioTklDLF6NqzH6oD+1Ad2o/m3l1iv16KTpOHc/vOJsvbVKtBTsh10o8fpiApkaxL51GfOIKVf1WjcvrCQrRqleFRmGE6sX0aTl17k354PxnH/iI/NprEdSvR5WtwaN3RZHmrgOrkht4gM+go2uREcq5eJOPUMZRVAg1lsi+fJ+XXjWSdO1XmuB7m0W8AKfv2kLr/D/LuRhG99Et0eRpcOnczWd62Ri2yrl9Ddfgg+YkJZJ4PRnXkIDZVqxnK2NSoiTroJBlnTpOfmID6xDEyzgdjU7X6M4nZnOQDJwhbsJzEXYee63ZM2XIhjF41K9Kjph+VXOx5t119lHIZu65HmV9JIsHVRml4uNgY/xj9Oug6r1b0ZFqL2lR1d8LX0ZaWlb1xti79j1avQYNJ2rWT5L17yY2MJPKzz9Dl5eHevbvJ8q6dOxO7cQPqU6fQxMWRuH0bqtOn8Bo8xFBGffo0Md+uQXX8WKnjMcWpcy8yju4n48RB8mPvkfTDKvQaDfYtO5gsr8vOojBdZXhY16qHLl9D1tmTAFh4+mDlX42kH1ahuRNOQXwsSeu/RmJhiV2zVmWK8b9wvngMHETynl2k/LGPvKgo7n75Obq8PFy7mYmxZi2yrl0l7eBf5CfEk3EumLRDB7GpXrR9iaUCp5atuPfNKrKuXEYTG0PcD+vQxMbg3qu3yTqfxHvIYBJ37iRpzx5yIyO58+mnFObl4f766ybLu3XpQuz6DaiDTqGJjSVx2zbUp07hPWSooUzIW28VHd937pATHk74wg9QeHlhW62ayTpLy1xS8awSoX9iwYIF2NjYEBoayuHDz673woABAwgLM92SXhrx8fF07mz6u/l5ycjIYPLkycyZM4fY2FjGjRv3r27/SZ5H4iv8t4gkrww8XC1wdpBz5VaOYVlOno6wyDwCK1qZXa9xbVsi7uYx+w1vNn5RmWXvVKD9qyWvINcMsGbjF5X5ZmFFxg/ywM7m6T+mAq2WW5H3aFSzOLGQSqU0qlmVa+F3nqqOPE0+Wm0h9ramu2ulqjMIunSd11u/8tRxGcVYoCUsIoqGtWsYxdiwdnVuhN5+qjo0+Rq0hYXY29mYLZOVk4NEIsHOxnwZcyRyOVZVAsi6fKF4oV5P1uWLWFetYXKd7JAbWFUOwCqgaN9beHhh17AJmefPGpVTePtQdePvBK7bgu+sd7Fwcy91fADI5Cgr+ZNz7aJRjDnXLqH0N/3jLTfsJspK/igrFyV1Fu6e2NRrRPalc2WL4QkkcjnWAYFkXHiofr2ezIvnsa1R0+Q6WTeuYR0QiPX9H6mWXt7YN2lG+tnibnzZN65jV78hinK+AFhVroJtzdpkBJ8xWed/XUGhjpBENU0qFB8rUomEJhU8uBqfana93HwtXdb+Qefv9jF9VxARKemG93R6PX/fSaCCky0Tt52k7eo9DP/pMEdvx5Y6Polcjk3VqqQHG3/O6efOYVurlul1LC3RafKNlunyNNjXqVPq7T8VmRxFxSrkXL9sFGPO9csoH7kQY459q45knT6OXlPUvV5iYVFUTcFDf4dej15bgFVg6ROo/8L5IpHLsQkIJOO8cYwZ589hW8P0Z511/RrWgVWxqVa0TxTe3jg0fYX000UXkiQyGRK5HF3+I8eDRoNt7dIfDxK5HNuqVUk/G2wUY3pwMHa1zRyPFhbo8jXG28/TYFfX/PbltkUXdbX/4ELdf0VERATNmzenQoUKuLi4PJM6CwoKsLKywt29jN+BD/H09ERRxtbzsoqOjqagoICuXbvi5eWFtXXpu7hD0X4QhOdBJHll4GQvA0CdoTVars7UGt4zxcPVgk4tHIlLzmfhyhj+PKFmbH93Wje1N5S5dDObFRvjmb/8Hht3JFPT34r5k8shNd8L1DiGjCwKdTqcHeyMljs72JFqpivko1b9tBNXJwca1zT9w2ffibPYKJW0blT36YJ6RHpmZlGMjvZGy50dHUhVp5tZy9g3m37F1cnJKFF8mCY/n9Wbf6Nd86bYWJtPvM2R2TsgkcnQqlVGy7VqFXIn02Og0o8fJnHLeip9vpKaOw9S9fufyL52meTftxjK5ISGcG/Z50QtmEPsN8ux8PCk0ucrkFqVJUb7ohjT1UbLC9NVZrtNZQYdJeW3TZRftISALfuo9NVGcm9cJW3nL6Xe/tOQOzgikcnRqtKMlheo0rBwNr0fVYcPErd+HYErV1P/4HFq/fQ7WZcvkbBlk6FMwk+bUR05RI2NP1H/4HGqfbeepG2/kXbor+fyd7xo6lwNhXp9iRY2Z2sFqdmmu2tWcLJjQceGLOvxCh91boxOD6N+OUpiZtHFqbQcDTkFWtYHh/KKnwff9HmN1lV8mLX7NBfuJZcqPrmjIxK5nIK0Rz7ntDQsnU3/IEw/cwavwYNR+vqCRIJD48Y4t26NhWvZegc8icyu6HwpTH/knM5QI3cwfSw+TFEpAIWvH+lHDxiW5cfdoyAlCZcBo5Ba24JMjlO3vli4uCFzfHKdj/ovnC9yB3OftQoLMz/+0w7+Rez3a6n6zbc0OPY3tX/bTuali8Rv3giALjeHrGtX8R45GgsXV5BKcenQCdsaNc3W+dgY7x+P+SaOR3P1qc+cwXvwkOLjsUljnNu0xtLc8SiR4DdzBhmXL5MTEVHqGP+JY8eO0bhxY2xsbHB0dOTVV1/l7kPjAnft2kX9+vVRKpVUqlSJDz74AK1Wa7Y+nU7HokWLKFeuHAqFgrp167J//37D+xKJhAsXLrBo0SIkEgkLFy40W88XX3xBlSpVUCgUlC9fno8//hiAqKgoJBIJv/76Ky1btkSpVLJly5YSrZQLFy6kbt26/PDDD5QvXx5bW1smTpxIYWEhX3zxBZ6enri7uxvqfTjGB61WD7a1fft2WrdujbW1NXXq1OH0Q+MrU1NTGTRoED4+PlhbW1OrVi1+/vnnp/0I2LBhA7XuX8CqVKkSEomEqKgoAFavXk3lypWxtLQkMDCQzZs3l4h19erVvP7669jY2Bj+lj179tCoUSOUSiWurq706tXLsI5Go2HWrFn4+PhgY2NDkyZNOHbsmNn4/Pz8AOjVqxcSicTw+mnie9j169eRSqUkJxd9J6SlpSGVShk4cKChzEcffUTz5s0Nr48fP07jxo1RKBR4eXkxd+5co+OvVatWTJkyhWnTpuHk5ISHhwdr164lOzubUaNGYWdnR5UqVfjzzz9LxNK5c2dsbW3x8PBg2LBhpKSkGNX71ltvMXv2bJydnfH09DR7rP5/IZK8p9CykR2/LPM3PGSyp8y4HiGRSLgTreHHXSlExmj46+90Dgal0+k1R0OZk+czCb6azd24fM5eyeLDb2IJ8LOiZkDZrhCV1sZdf3Hw9AW+mDEOhaWFyTJ7jp+m46uNzL7/vG3evofDQWf5ZM5bKCwtS7yv1WqZv/hr0OuZ9ebIfy0um1p1cOs/hLjVywmfOo67H7+PXcOmuA8cZiiTdSGYjKDj5EXdIeviOaIWzkVmY4tD89b/SoxW1Wvj0msgid+vImruJGIXf4BN/ca49B78r2z/adjWqYfXkOFEL1/CzXGjiHh/Hg5Nm+E5bKShjFOrNji360DkRwu5OW4UUZ99hEf/QTh3/He76/wvq+PtQrfqFQh0d6SBrxuLuzfD0UrBtqtFLfp6vR6AVpW9GdoggEB3R0Y1rsprlbzYevXpWv3/iailS8i7d486v/5Gk7+D8Jv1Nsl794CudN3T/y0OrTqgiY40nqSlsJD4ZR9h6eVN5bW/UWX9Dqyq1yb78jm4v3+ft//C+WJXrz7ew0Zwd8mX3Bw9gvB35uDwyit4jSgeC3znw6JxrnV37aXhkRO49+1H2qGDoPt39mPk4iXk3oum3tbfaXb6FJVmzyZp9x70Zo7HSnNmY125MmHvvPvYejUaDRkZGUYPjUbz2HUeR6vV0rNnT1q2bMnVq1c5ffo048aNQyIp+l1y8uRJhg8fztSpU7l58ybffvstGzZsKJEUPWzFihUsWbKExYsXc/XqVTp27Mjrr79OeHg4UNQVskaNGsycOZP4+HhmzZplsp558+bx2Wef8f7773Pz5k1++uknPDw8jMrMnTuXqVOnEhISQseOpocVRERE8Oeff7J//35+/vlnvv/+e7p27UpMTAzHjx/n888/57333uPs2bMm13/g3XffZdasWVy+fJmAgAAGDRpkSDby8vJo0KAB+/bt4/r164wbN45hw4YRHBz82DofGDBgAIcOFXXbDw4OJj4+Hl9fX3bs2MHUqVOZOXMm169f580332TUqFEcPXrUaP2FCxfSq1cvrl27xujRo9m3bx+9evWiS5cuXLp0icOHD9O4cWND+cmTJ3P69Gl++eUXrl69Sr9+/ejUqZPhM3rUuXNFLe3r168nPj7e8Ppp43ugRo0auLi4cPx40VCakydPGr2GoqSuVatWAMTGxtKlSxcaNWrElStXWL16Nd9//z0fffSRUb0bN27E1dWV4OBgpkyZwoQJE+jXrx+vvPIKFy9epEOHDgwbNoycnKKLkmq1mjZt2lCvXj3Onz/P/v37SUxMpH///iXqtbGx4ezZs3zxxRcsWrSIgwcPmv8gX3L/r2fXnDdvHnl5Ja+CL1tmPFlH8NUsQu9foQEMk6s42stRZRQaljvayYmMMf/PW5Wu5V6C8fv3EvJpVs/8OL7ElALSM7V4uVlw1fyEicUx2Nsik0pLTLKSlp6JyyMtZ4/6ce8hNu7+i1XvTMG/go/JMpdu3eZuXCIfvzX6ycGY4WBnVxTjIy2Laep0XBxNT4DwwE87/2DL9n0sXzibKn7lS7yv1Wp5f/HXJCSnsHLR3DK14gEUZqSjLyws0SImd3QqcZX9AY+ho1Ef+QvVX38AoLkbiVShxGfyTJJ+/dHkjz5ddjaa2Bgsvb3LEGNGUYyPTAQjc3Aq0QL5gGv/EWScOEz6kaKrtPn3opAqlHiMm0rqjp+f+Q9TbboafaG2ROunhZNziZaAB7xHjyX1rwOk/rEHgLzIO0iVSirMnEPCjxtBr6fc+Ekk/PwjqqOHDWUsPTzxGjyMtAN/mqz3v8zRSoFMIikxyUpajqbEODtzLGRSqro7ck+dbahTLpVQycX4/0JFZzsux5nvAmqKVq1Gr9WWaG2ycHYmP810XVq1mrDZbyOxtETu4EBBcjLlJ00mL67ss1I+TmFm0fkic3jknLZ3RJtu+lh8QKJQYNusJWlbfyzxnibqNtHvTEFqZY1ELqcwMwPfD5aRF2n6x9fj/BfOF226uc/aiYJU05+1zxvjSDnwJyl7dwOQeycCmdKKCrPnEr9pA+j1aOJiCZ0yEalSiczGhoLUVCp/8BGauNJ3H35wPFqaOB7NxahVqwmdVXQ8Wjg4kJ+cTIUpk9HEljweK85+G6fmr3F93Djyk5IeG8unn37KBx8YT9S0YMGCMrcwZGRkkJ6eTrdu3ahcuWh26WoPjQn84IMPmDt3LiNGFM3YXKlSJT788ENmz57NggULTNa5ePFi5syZY2id+fzzzzl69CjLly/n66+/xtPTE7lcjq2tLZ6enibryMzMZMWKFaxatcqw7cqVKxu18ABMmzaN3r0fP85Sp9Pxww8/YGdnR/Xq1WndujWhoaH88ccfSKVSAgMDDTE2adLEbD2zZs2ia9euhv1So0YNbt++TdWqVfHx8TFKVqdMmcKBAwf47bffjJIrc6ysrAzdVt3c3Az7ZfHixYwcOZKJEycCMGPGDM6cOcPixYtp3br4Yu7gwYMZNar4IsfAgQMZOHCg0bFS537X9ejoaNavX090dDTe938rzJo1i/3797N+/Xo++eSTEvG5uRVNWOTo6Gj0mT1tfA9IJBJatGjBsWPH6Nu3L8eOHWPUqFGsW7eOW7duUblyZU6dOsXs2bMB+Oabb/D19WXVqlVIJBKqVq1KXFwcc+bMYf78+UilUsPf9t577wHFFwdcXV0ZO7Zoorr58+ezevVqrl69StOmTVm1ahX16tUz+lt/+OEHfH19CQsLI+D+hF21a9c2HOf+/v6sWrWKw4cP07592WaB/6/7f92Sl5eXx7Jly0o8HpWr0ZOQXGB43IvPJy1dS+3A4tY1K6WUgIpKQiNzzW4v5E4u3h7GLU8+7hYkp5rvRuHiKMfORoYqw3yZh1nI5VSt6Gs0aYpOp+P8jVBq+Vcyu96m3Qf5fvufrJg7ieqVK5gtt/voKapWLE9AhXJPFY/JGC3kBFT248LVG0YxXrh6kxqBVcyut2XHPjZu3cXi92dRtUrJv+VBghcTn8DyhXNwsLMzUcvT0Wu15N4Ow6ZO/eKFEgm2deqTc+uGyXWkCmWJJMlwFVhiuvVXqlRi6eWN1swPuMcq1JJ3JxzrWg/NcCqRYF2zLnnhpqcJlyoUhhacEjFSthbqx9FrteSEhWJfv6FRjHb1G5B147rpGJUK0BtfPX90P0oVypJX2HU6s/v5v85CJqWahyPB0cU/KHV6PcHRSdT2errubIU6PbdTMnC9nxRayKRU93AiSmV8QShalYWXXel6Dui1WrJv3cKhUaPihRIJ9o0aknXt2uPXzc+nIDkZiUyGc+vW//gWCWYVatFE3sa6xkNjrCQSrGrWJS/c/G1RAGybvIZEbkFG0BGzZXS5ORRmZmDh4Y2iUhWyL5T+tiP/hfNFr9WSHRaKfYNHPusGjci6YfqzlipN/W8sNIrREFZeHgWpqcjs7LBv3AT13yfKFGPWrVs4NDaO0aFRIzKvPvl4zH9wPLZpQ9px4+Ox4uy3cW7VihsTJqB5igsS8+bNIz093egxb968Uv9NDzg7OzNy5Eg6duxI9+7dWbFiBfHx8Yb3r1y5wqJFi7C1tTU8xo4dS3x8vKFV5GEZGRnExcXx6quvGi1/9dVXCQl5+ttXhISEoNFoaNu27WPLNWzY8LHvQ1FXQ7uHvr89PDyoXr26IUF4sCzpCQl27drFtz/x8vICMKxTWFjIhx9+SK1atXB2dsbW1pYDBw4QHR39xPgeJyQk5Kn25aP74fLly2b33bVr1ygsLCQgIMDocz1+/DgRpewq/LTxPaxly5aGrqHHjx+nTZs2hsTv3LlzFBQUGOoMCQmhWbNmhpblB/VnZWURE1N8K7CHPxuZTIaLi4uh+ytgaAF+8HlduXKFo0ePGv39VasWDSl6eB88XC8Ufe5POk5eZv+vW/L+iT1HVPTv4kJ8cj6JKQUM7u5KWrqWM5ezDGUWTS3HmctZ/HFcDcDuwyo+f7s8fTs58/eFTAL8lHRo7sg3WxIAUCokDOzqyqlLmajTtXi6WTKitxvxyQVcvFnyn7M5g7u25YPVm6hWqTw1qvjxy59HyNVo6NayKQALvtmIu5Mjkwb1AGDj7r/47vd9fDh5JF5uzqTcHxdnrVRg/dDU0Fk5uRw+e4mpQ8o229nDBnbvxMdfraVqlYpU86/Eb3v+IlejoWubFgB8uOJb3FycGD+0qCn+x+17+f6X7SyYPgEvd1dSVWoArJRKrK2UaLVa3vvyK8Lu3OXzd2ag0+kMZextbbGwKP2hnrLzd8pNn0tueBi5YSG49OiLVKlEdaioFazcjHkUpCaTuHEdABnBp3Dt2Y/cO+HkhIag8PLBY+hoMoJPG7qgeY4eT2bwafKTErBwdsV9yEjQ6VAfL9tsZap92/GcOIu8iDDyIkJx6tILqUJJ+rGisTaek95Gm5ZCys/rAci6cAanrr3RRN0mL/wWFp4+uA4YQdaFs4YfihKFEkvP4pZFC3dPFBUqUZiViTa1dGO1ABJ//xW/ue+SHXaLnJCbuPftj1SpJHX/PgD85r1HfnIKcevWAJB+KgiPfgPJCQ8jO+QmCp9yeI8ei/p0kGE/qk8H4TV0BPlJieRFRmLtH4B7vwGk/rmvTPvxaclsrLGpUtyCbF2xHPZ1qpKflk7evfjHrPnPDWkQwIL956ju4UQNT2d+uhhOboGW12v4AfD+n8G421ox5bWiL8rvTt+klpczvo62ZGoK2HQ+jPiMbHrVqmioc3jDQObuO0N9H1ca+rpzKiqBE3fi+a5/y1LHF//zT1Sev4CskBCybt7Aa+BAZEorkvfuBaDygoXkJydx75tvALCtUQMLNzdywsKwdHen3BtjQSol7qHxIVIrK5Tlii8oKby9sfb3R5uRQX5iYqljVP25A483Z5AXGU5eRBhOnXogVSjIOF7Uncdj/Ey0qlRSf91gtJ5Dyw5kXziNLqvkbWhsGzenMDOdgpRkFOX9cBv2Jtnnz5Bz7VKp44P/xvmS+MvPVHz3fbJvhZAdchOP/gOQWilJ2VdUX8X35lOQnEzMt6uLth/0N54DBpETFkrWzRsofXzxeWMc6UF/G2K0b9wEJBLyou+i9PHFd9Jk8qLvkrJvb5lijNvyE/4LF5B1M4SsGzfwGjwImZUVSXuKWjyrfLCQ/KRkor/+Gig6Hi3d3ckOC8PSzQ3fceOQSKTEbioe21hpzhxcO3Xk1sxZFObkGMb3FWZloTPTBVOhUDz1hCD29vakp5ccl65Wq3FwKO7lsn79et566y3279/Pr7/+ynvvvcfBgwdp2rQpWVlZfPDBByZby5TP8VYPVk85rtzmKSZCs7AwHgoikUhMLtM9oWv3w+s8SDoerPPll1+yYsUKli9fTq1atbCxsWHatGnkPzL5z/Py6H543P7LyspCJpNx4cIFZDLjeR9sbc33BHtWHsz6Gh4ezs2bN2nevDm3bt3i2LFjqFQqGjZsWOpJZ570GT/6eWVlZdG9e3c+//zzEnU9SODN1fuk4+RlJpK8Mtr+VxpKSwkTB3tiYy0lJCKXD76KoUBbfLXS080Se9viE/L23Tw+XRPLsJ5uDOjiQmJKAet+T+L4uaIfDjod+PkoaN3UHhsrGWnpWi7fzGbLnhS02qfvRte+WQNUGZl8t3UvqepMAir4sGLuJEN3zcQUFdKHrrJsP3iSAq2WucvXGdXzRp8ujOvb1fD64OkL6PV6Or765CtxT9K2eVPUGZms+3k7aep0qlQsz5L338b5fnfNxJRUpA/NNrPzwBEK7idyDxvVvydjBvYmOU3F3+eKflSNmvmeUZmVi+ZRv2bpp7hOP3kUuYMDHkNHFt0M/U4EkfPnGLpCWri5G40fSvplM+j1eAwdg4WLK9p0NZnBp0nYXLxfLVzd8H37PWT29hSmp5N98xoRMydRmPF0E848KvP0cWT2Drj2H47M0QlN1B1iPn2XwvuTsVi4uBnFmLr9J0CP64CRyJ1dKMxIJ+vCGVJ+2WAoo6wcQPkFxfclcx8xvmh/HPuLhNVLSh2j6uhh5A6OeI984/7NncMJnzMTrapoP1q6e6B/aNxN/OaiLmbeY8Zh6eqGVq1CfTqIuHXfGcrcW7kM79FjKT91FhZOTkU3d96zi/hN60sdX2k4NKhJs8PFSUj1xe8UxbNpO1fHlP3q/NPoGOiLKkfD6lM3Sc3JI9DNgVW9mxu6ayZk5hid1xmafD48eJHUnDzsFRZU83Bi/aDWRt0z2/j78E67+qwPDuXLo5ep4GzHl92bUc+n9JOfpB46hNzRCd9x44puhh4Wxq1pUw3dDBUeHkbHosTSEt/x41F6+1CYm4v61CluL1xAYVbxhTLbatWovnqN4bXf9OkAJO/dS8SHi0odY9aZE8js7HHpO6zoZuh37xD7+XwKM9QAyF3cSrSKWXj5YFW1JrGfmh57JXNyxnXoWOQOjmjVKjJOHiZtx9NP4PCo/8L5knbkEHJHR3zeGIuFsws5t8MJmznd0JXd0sPTaCxd3Mb1oNfjM/ZNLN3cKFCrUQf9Tex3xZ+tzNaWcm9OwNLNHW1GBqrjR4n9bg36wsIS238aqQcPYuHkSPnxb2Lh4kJ2WBg3p7xVfDx6GscoVSgoP2E8Sp+i41EVFET4/PlGx6Nnv6L7Ctb87lujbYUv/MBwMeOfCAwM5K+/Sk6Gc/HiRUN3tAfq1atHvXr1mDdvHs2aNeOnn36iadOm1K9fn9DQUKpUMd8r5mH29vZ4e3sTFBREy5bFF3eCgoKeqtviA/7+/lhZWXH48GHeeOONp17vRQkKCqJHjx4MHVp0iwydTkdYWBjVq/+z2/BUq1aNoKAgQ5fVB9t6Ur21a9fm8OHDRl04H6hXrx6FhYUkJSXx2muvPXUsFhYWFD5y/pQlvlq1auHk5MRHH31E3bp1sbW1pVWrVnz++eeoVCrDeLwH9W/btg29Xm9I1IKCgrCzs6NcubL3AKtfvz7btm3Dz88PuVykLk9L7Kl/4Ke9qfy01/zYlXHvlZy84Pz1bM5fzzZZPr9Az8KvYky+V1r9O7aif8dWJt9bM3+a0etdX334VHX2atucXm2bP7ngU+rTpT19upjuJ73qw3eMXm/9dulj6/Jyd+Pv7ZseW6YsUvfuJHXvTpPvRc6bbrxApyPp500k/Ww+jntfPN2+Lg31gd2oD+w2vb1Fs40X6HSkbt1C6tYtJssD5N68SugA0wPiyyp55zaSd24z+V7Y9EduBq8rJH7T+sf+ANXl5hDz9Qpivl7xLMN8orQTweyzCHxywedkYL0qDKxn+sfb2v6tjF7PalWXWa3qPrHOnjUr0rNmxSeWexqJW38ncevvJt+7OXGC0evMS5e4+tAMbaZkXLzImSZP/0PzaaQf3Ev6QdM/yGM/nltiWUF8LOFDupgofb++A7tJN3P+ldV/4XxJ2r6VpO1bTb4XOmWi8YLCQuLWf0/c+u/N1qc6chjVkWd3/zWAhN9+J+E308fjjTfHG73OuHiRy/0HPLa+Uw0bPfb9f2rChAmsWrWKt956izfeeAOFQsG+ffv4+eef2XO/BTIyMpLvvvuO119/HW9vb0JDQwkPD2f48OFA0Vimbt26Ub58efr27YtUKuXKlStcv369xOQXD7z99tssWLCAypUrU7duXdavX8/ly5fZssX898SjlEolc+bMYfbs2VhaWvLqq6+SnJzMjRs3GDNmzD/fOc+Yv78/W7du5dSpUzg5ObF06VISExP/cZL39ttv079/f+rVq0e7du3Ys2cP27dvN0zSYs6CBQto27YtlStXZuDAgWi1Wv744w/mzJlDQEAAQ4YMYfjw4SxZsoR69eqRnJzM4cOHqV27tmHc4aP8/Pw4fPgwr776KgqFAicnpzLF92Bc3pYtWwzjGGvXro1Go+Hw4cPMmDHDUHbixIksX76cKVOmMHnyZEJDQ1mwYAEzZsww6m5bWpMmTWLt2rUMGjTIMHvm7du3+eWXX1i3bl2JFk6hyP/rMXmCIAiCIAj/CypVqsSJEye4desW7dq1o0mTJvz222/8/vvvdOrUCQBra2tu3bpFnz59CAgIYNy4cUyaNIk333wTgI4dO7J3717++usvGjVqRNOmTVm2bBkVKpgfa//WW28xY8YMZs6cSa1atdi/fz+7d+/G39+/VPG///77zJw5k/nz51OtWjUGDBjwPzse6r333qN+/fp07NiRVq1a4enpSc+ePf9xvT179mTFihUsXryYGjVq8O2337J+/Xqj1i5TWrVqxe+//87u3bupW7cubdq0MZrpc/369QwfPpyZM2cSGBhIz549OXfuHOXLl5yA7oElS5Zw8OBBfH19qVev3j+Kr2XLlhQWFhrKSaVSWrRogUQiMRrj5+Pjwx9//EFwcDB16tRh/PjxjBkzxjDJSlk9aG0uLCykQ4cO1KpVi2nTpuHo6PiPkseXnUT/6CwM/09Mv9/tx9REKw/rMeEpprT8l+1aXdySkH7x8VeHXhSH+u0Mz5NvPH6a4xfFrUbxrFzXuv07tzAorVp7i6c1ftata89K4K/F9w270PrVx5R8cRocDTI8f5EtcY/TtaD4f032t4+flv1FsXmzeBr2Z93C9iw0fejm149rfXuR/Lf8YXj+XzhfzjVv+gIjMa/R38U3cn/eLWxl9crDN4wXBEH4l4n0VxAEQRAEQRAE4SUikjxBEARBEARBEISXiEjyBEEQBEEQBEEQXiIiyRMEQRAEQRAEQXiJiCRPEARBEARBEAThJSKSPEEQBEEQBEEQhJeISPIEQRAEQRAEQRBeIiLJEwRBEARBEARBeImIJE8QBEEQBEEQBOElIpI8QRAEQRAEQRCEl4hI8gRBEARBEARBEF4iIskTBEEQBEEQBEF4iYgkTxAEQRAEQRAE4SUi0ev1+hcdxIswffp0AJYtW/aCIxEEQRAEQRAEQXh2REueIAiCIAiCIAjCS0QkeYIgCIIgCIIgCC8R+YsO4H9djwmhLzqEEnatDjQ8D4uIfoGRmBdQubzh+e2IyBcYiXlVKlc0PI+dOuAFRmKez4pfDc8jhnd9gZGYV3nTPsPz1IVvvMBIzHNZuM7wPPvbd19gJObZvPmx4fk+i8DHlHxxuhYU/z+81q31C4zEtFp7jxqe3+zV9gVGYl71HYcNz4PqNXiBkZj36qULhufnWzZ7gZGY1/D4acPzC61ffYGRmNfgaNCLDkEQhP/HREueIAiCIAiCIAjCS0QkeYIgCIIgCIIgCC8RkeQJgiAIgiAIgiC8RESSJwiCIAiCIAiC8BIRSZ4gCIIgCIIgCMJLRCR5giAIgiAIgiAILxGR5AmCIAiCIAiCILxERJInCIIgCIIgCILwEhFJniAIgiAIgiAIwktEJHmCIAiCIAiCIAgvEZHkCYIgCIIgCIIgvEREkicIgiAIgiAIgvASEUmeIAiCIAiCIAjCS0T+ogP4LxvczYX2zR2xsZJy604uq39KJD654LHrODvIGdHLjfo1bFBYSohPLuCrTfHcjtYA8NZwT9o2czBa5+KNbD5YFfPYevft2cX2bb+jUqVRsWJl3pwwiYDAqmbL/33yOD9u3khSYgLe3j6MHP0GDRs1MbyvUqnYsH4tly9eICs7m5o1a/Hm+El4+5QzqudWyE02b1xPaOgtpFIplSpV5oOPPn1srA/s3bObbdu2olKpqFixEuMnTCQwMNBk2bt3o/hx82Zu3w4nKSmJsePepGfPXkZlrl+7xrZtW7l9O5y0tDTee28+zV555aliMcemeQds23RHZu9IQexd1NvWUxAdYbKs6+T5KPxrlFied+Miqd99DoBdp75Y1X8FmaMLFGrJvxdJxr5fKLh7u8wx2rftimOXPsgcnMi/F0nK5jVo7oSZLOs971OsqtUusTz78jkSli4EQGbviPOAUVjXrIfU2oa80BukbF5DQWJcmWNUNGqN1asdkdo6oE24R86fP6ONjTRbXqK0wrpNLyyr1UdiZYMuPZXs/b9SEH4NAMdpnyFzdC2xXl7wEbL/+KlMMf56+TabzoeRmp1HgJsDs1vXo6aXs8myu29EsfDAeaNlljIpZ6b2Nlp2JzWDlSevcTEmGa1OTyUXe77s3gwve+syxfg0nJs3pNLMMTjUr4nS253zfSaSuPvwc9ue0ba79sSt9wDkTs7kRUYQ9+1KcsNumS3v8nofXLq8joWbB9qMdDKCjpOwcS36gpL/R936DsJz5DhSdm0lfu3XZY7RqXMPXHr2R+7ojCYqgvh1X5EXHmr+b+rWG6dOr2Ph6k5hZjoZp06Q9OM6Q4xOHbsXve/uAYDm3l1SfttM1sXgMsfo2b8fPiOGY+niQnZYOHc+/4KsGzdMlpXI5ZQbPQq3bt1QuLuRe/cuUStWoj512lDGZ/QoXNq0xtrPj0KNhswrV7m7YiW5d++WOUa3nn3wHDgEC2dnciJuc2/FUrJv3TRb3r3vANx79MLSwxNtuhrVsaPErF2NPj8fAKmVNT5jxuH4WgssnJzJCQ8j+qtl5NwK+Qcx9sZjwGAsnJ3JjbhN9MrH1+fepz9ur/fC0sOjKMbjx4hduwZ9QVGMSKV4jxiDc/sOWDi7UJCSQsqBP0jYvKHMMf7XjBw5ErVazc6dO190KIIgPIFI8sqodwdnurZ2YsXGBBJTCxjS3YWFb5Vj8gdRFGj1JtexsZby2dvluR6aw6JVMaRnFeLtbkFWjs6o3IUbWazclGB4ba6+B04eP8a6td8yafJbBFStxu6d25n//jzWfPcDjo5OJcqH3LzBl59/woiRY2jUuAnHjx3l4w8XsnzlN1Twq4her+fjDxcgl8l5d/4irK2t2bljG++9M4dvvl2HUmkFFCV4C96fR9/+gxg3YRIymYzIO3eQSiVP3H8njh9n7dq1TJ48hcCqgezcuZP333+X775bh6OjY4nyGo0GTy9Pmr/2Gmu/+9ZknXl5eVSsWJH2HTrw8UcfPjGGJ7Gq1wyHXsNR/7aO/KhwbFt1wXXCOyR+PB1dVkaJ8qk/LEEiKz6lpDZ2uM/+gtzLZwzLtMnxpG9djzY1EYmFJbatuuI64V0SP3wLXXZmqWO0afIaroPHkrxhFXkRoTh27InX2x9yb/Y4CjPTS5RPWPkxErlFcYy2dvh+tIrs4L8NyzynvYdeW0jC8g/R5ebg0KkXXnM+5t7c8ejzNaWO0bJGI2w69id7749oY++gbNoOu6HTUK96D72pv1kmw37YDHTZmWT+tgZdpgqpgwv6vBxDkfTvPgJpcUcEubsP9sNnorl5odTxARwIvcfS41d5p219ank5s+ViOJO2n2THqI44WytNrmNrKWf7qE6G148e9ffUWYz59Rg9avox/pXq2FhacCc1A4X8+XagkNlYk3E1lHsbttFwa9mTodJyeK01Xm9MIO7rZeSEhuDaoy8VF31B6JvDKUxXlyzfsi2eI8cRs+ILckKuo/Dxpdy0OQDEr/vGqKyVfyDOnbqTG2n6AsvTsn+1FR6jxhO/Zjm5Ybdw6d6bCvM/5/bkkSZjtH+tDe7DxhK36ktyb93A0rsc3m/NBiBx/WoAClJTSNq8lvz4WJBIcGjdAd+5i7gz800090qfRLl2aE/FmTOI+PgTMq9fx3vwYGp8s4qLPXtToFKVKF9+4gTcunYh4sOPyImMwumVZlRdsphrI0eTHVqUvDrUr0/Cr7+TeeMGErmMCpMnU33111zq3RddXl6pY3Rq3RbfSW9xd+kXZN+8gUe/AfgvXsb1oQPRqkvG6NyuA+XGTSDqi0/Iun4VZbny+M17Dz16Yr5eCYDf7HlYVaxE5MeLKEhNwaV9RwKWrOTGiMEUpCSXKcZyE6YQvexLskNu4t63P/5fLOXG8EFo1eqS5du2x2fceKK++JTs69dQ+JbHb867gJ6Yb74CwHPQUNx69CTys4/Ii4zEOrAqfnPepTA7i+TtW0sdozmnT5+mefPmdOrUiX379j2zep+HVq1aUbduXZYvX/6vb9vLy4upU6cyd+5cw7K5c+fy+eefc/ToUVq1amUUp6+vL5s3b/7X4xSEF0V01yyj7m2c+P3PVIKvZnE3VsPyDQk4O8hpWtfW7Dp9OjiToipg5eYEwu/mkZRawOWQHBJSjK9aFxToUWcUGh7ZjySBj9q5YxsdO3WmXYdOlC9fgYmTp6JQKDj41wGT5Xfv2kH9Bo3o3bc/vuUrMHT4SCpXrsLePbsAiIuNJfRWCBMmv0VAQCDlyvkycdJb5Ofnc/zYUUM9675bTffXe9Gv/0AqVPCjXDlfXmvREgsLyyfuvx07ttOpUyfad+hA+fIVmDx5CkqFgr/MxBwQEMiYMWNp2bIVFhYWJss0bNSI4SNG8sorrz5x+0/DtlVXsk8dJufsMbSJsah/W4c+Px/rpq1NltfnZKPLTDc8FIG10RdojJK83AtBaMKuUZiahDYhhvQdm5BaWWPhU6FMMTp26kXGsf1knjxEQdw9kjesQq/Jw65lB5PlddlZFKarDA/rmvXQ52vICj4JgIWnN8oq1Uje+DWayHAKEmJJ2fg1UktLbJu1LFOMymbt0Vw8ieZyEIXJ8WTv/REK8lHUa26yvKJecyRWNmT+8jXae7fRqVPR3g2jMLG4NVufk4U+K8PwsAioTWFaEtoo8y0yj7PlQhi9alakR00/KrnY8267+ijlMnZdjzK/kkSCq43S8HCxMU4Gvw66zqsVPZnWojZV3Z3wdbSlZWVvs0njs5J84ARhC5aTuOvQc93Oo1x79kN1YB+qQ/vR3LtL7NdL0WnycG7f2WR5m2o1yAm5TvrxwxQkJZJ16TzqE0ew8jfugSBVKvGd9S4xXy2mMKv0F0Ie5vJ6X9QH/yD9yAHyY+4Sv2Y5Oo0Gx7adTJa3rlqD3FvXyTh5hILkRLKvXCDj5FGs/It7HGSdP03WxWDy42PJj4shecsP6PJysQqoXqYYvYcOJXH7DpJ27yH3TiQRH39CYV4e7j17mCzv3q0rMd//gOrvIDSxsST8vhVVUBDew4YaytycPIWkPXvIvXOHnLBwwhcsQOnlhW31amWK0aP/IFL27ib1z33k3Y3i7pIv0OVpcO3SzWR52xq1yLp+jbRDf5GfkEDG+WDSDh/EpmrRPpJYKnBq0YqYNV+TdfUymtgY4jZ8jyY2BrcevUzW+cQY+w0gZd8eUvf/Qd7dKKKXfokuT4NL58fHqDp8kPzEBDLPB6M6chCbqsX7yKZGTdRBJ8k4c5r8xATUJ46RcT7Y8Hc8K99//z1TpkzhxIkTxMWVvQfFy65Vq1YcO3bMaNnRo0fx9fU1Wp6Xl8eZM2do06bNvxugILxgIskrAw9XC5wd5Fy5VdyykJOnIywyj8CKVmbXa1zbloi7ecx+w5uNX1Rm2TsVaP+qQ4lyNQOs2fhFZb5ZWJHxgzywszH/MRUUFHD7dhh16tY3LJNKpdStW59QM11nbt26Sd169Y2W1WvQkFv3u7EU3O+GZGlZnKxJpVIsLCy4efM6AGq1itDQWzg4OvL2zKkMG9yPubNncOPGdbOxGsccTt269R6JuZ4hhhdOJsPCtxKasGvFy/R6NGHXsPTzf6oqbJq2JvfiKfOtXzIZNq+0RZeTTUFsGbpNyeQo/KqQc+OyUYy5Ny+jrGK+q+7D7Fp0IOvMCUOMD1r5DN2T7tepLyhAGVCyK+qTY5Qh965A/p2HjkW9nvw7IViUq2RyFcvAumhj7mDTdTBOs5biMPEDrF7rAhIzLcQyGYraTdFc+tv0+09QUKgjJFFNkwruhmVSiYQmFTy4Gp9qdr3cfC1d1v5B5+/2MX1XEBEpxS2nOr2ev+8kUMHJlonbTtJ29R6G/3SYo7djyxTj/zqJXI5VlQCyLj/UkqrXk3X5ItZVTR832SE3sKocgFVA0bFq4eGFXcMmZJ4/a1TOe8I0Ms+dIfvKxX8WpFyOsnKAcT16PdlXL2IdaPpHes6tGygrB6C8n9RZeHhh26AxWRfMdMWUSrFv3hqJUklOqPmui+ZI5HJsq1VFffah+vV60s8GY1e7lul1LCzQ5ecbLdPlabCvV9fsduS2RRcjtekleyQ8TYw2AYFkXDhnFGPGhXPY1Khpcp2sG9ewDgg0JEOWXt44NH2F9LNFXUolMhkSubzk36HRYFerTplitDYRY+bF89g+IUbr+0mdpZc39k2akX62+CJd9o3r2NVviKKcLwBWlatgW7M2GcFnTNZZFllZWfz6669MmDCBrl27smHDBqP3VSoVQ4YMwc3NDSsrK/z9/Vm/fj0A+fn5TJ48GS8vL5RKJRUqVODTT4uHTyxdupRatWphY2ODr68vEydOJCsry/D+woULqVu3rtH2li9fjp+fn8lYR44cyfHjx1mxYgUSiQSJREJUVJTJsiqViuHDh+Pk5IS1tTWdO3cmPDzc8P6GDRtwdHTkwIEDVKtWDVtbWzp16kR8fLzZfdW6dWuCgoLQarUAZGZmcunSJebMmWOU5J0+fRqNRkPr1kUXaI8fP07jxo1RKBR4eXkxd+5cQx1QlDxOmTKFadOm4eTkhIeHB2vXriU7O5tRo0ZhZ2dHlSpV+PPPP43iuX79Op07d8bW1hYPDw+GDRtGSkqKUb1vvfUWs2fPxtnZGU9PTxYuXGj27xOEf+r/bZKnVCpJSkoq07pO9jIA1Blao+XqTK3hPVM8XC3o1MKRuOR8Fq6M4c8Tasb2d6d1U3tDmUs3s1mxMZ75y++xcUcyNf2tmD+5HOZ6QGZkpKPT6XByMu6W6ejohCqtZLcZALVKVaJLpKOjE2pVGgDlfH1xc3Nn4/rvycrMpKCggK2//0JKSjKqtKIyCQlF/3h/3rKJjh07s/DDT6lcxZ/35s0mLvbx4wczMjLQ6XQ4Oj0ag6PZmP9tUht7JDIZuke6PBZmpiOzc3zi+hblK2PhXZ7s00dKvKesUR+vLzbivfhHbFt1JWX1x2XqqimzK4qxMENttFybrkbmULKb7qMUlQJQ+PqRcby49TQ/PoaClCRc+o1Eam0LMjmOXfsid3FDbqLr75NIrG2RSGXoH+neqs/OQGJb8gIHgMzJFcvqDUAiJWPLCnKP70XZrANWLUxfgbesWg+J0pq8y0Gljg9AnauhUK8v0cLmbK0gNdt0V7YKTnYs6NiQZT1e4aPOjdHpYdQvR0nMLLrwk5ajIadAy/rgUF7x8+CbPq/RuooPs3af5sK90nc9+18ns3dAIpOV6KqnVauQO5ke15h+/DCJW9ZT6fOV1Nx5kKrf/0T2tcsk/77FUMahRWusKvuTsHHtP45Rbnc/xnQTMTqajjHj5BGSf95AxY9XUO33A/iv+ZHs61dI2WY87lNRviJVf9pLtd/24zV+GjGfLSA/pvQXbiycHJHI5RSkGV9cyE9NxdKl5BhUAPXpM/gMHYKyvG9Rd9EmTXBp0wZLV9PlkUioOGsWGZcukxNR+u6vcof7Md7/vnhAq0rDwtnF5Dpph/4ibv1aAletof7hk9T+ZRuZly+S8ONGAHS5OWRdv4b38FFYuLiCVIpz+47Y1qiJhYvpOp8Yo0yO9pEYC1RpWDib/qxVhw8St34dgStXU//gcWr99DtZly+RsGWToUzCT5tRHTlEjY0/Uf/gcap9t56kbb+Rdugvs7FoNBoyMjKMHhqN+W7vv/32G1WrViUwMJChQ4fyww8/oNcXD9l4//33uXnzJn/++SchISGsXr0a1/uf9cqVK9m9eze//fYboaGhbNmyxShBk0qlrFy5khs3brBx40aOHDnC7NmzH7svH2fFihU0a9aMsWPHEh8fT3x8PL6+vibLjhw5kvPnz7N7925Onz6NXq+nS5cuhovKADk5OSxevJjNmzdz4sQJoqOjmTVrltntt27dmqysLM6dK0rmT548SUBAAH369OHs2bPk3e+KfPToUfz8/PDz8yM2NpYuXbrQqFEjrly5wurVq/n+++/56KOPjOreuHEjrq6uBAcHM2XKFCZMmEC/fv145ZVXuHjxIh06dGDYsGHk5BT9z1er1bRp04Z69epx/vx59u/fT2JiIv379y9Rr42NDWfPnuWLL75g0aJFHDx4sPQ7XxCewv/bMXmffvop06dPZ968eYZ/BA8sW7bM6HXLRnZMGOxpeP3hN49PYsyRSCRE3M3jx11FV3YiYzRU8FbQ6TVHjp4p+hF88nzxj/27cflExWr47sNK1Ayw5mpojsl6nzW5XM477y1g5YolDBrQu6iVrV59GjRsxIPvGr2u6Emnzl1p16Goq1PlylW4evkSB/86QKsW/2zCk/86m6ZtKIi7a3KSFk34DZK+mI3Uxh6bV9rgPHIayUvfNTnO73mya9EBTXSk8SQthYUkrPwY9zFTqbjmV/SFheTeuEz2lXNISow6e04kEnTZGWTv2QR6PYXxd5HaO2L1Skdyj+8pUVxRrzkF4dfRmxiD+LzU8Xahjnfxj8/a3i702XCAbVfvMPHVmoYfZa0qezO0QQAAge6OXIlLZevVOzTwdfvXYv1fZVOrDm79hxC3ejk5oSEovH3wGjsZ94HDSPplMxaubniNnUzU+2+bnIjl32Bdow6ufQYT/91KcsNCsPTyxnPMJLT9hpLy+4+Gcpq4e0TMGIfM2gb7V1rg/dYcot6bUaZEr7TufPklVd5/n/rbt4FeT15MDEm7d+Pe43WT5SvNm4t1lcpcGzXmucf2gF3dengNGWEYH6fwKYfvlGl4DR9F/KaiVqjIjz/Ab8671Nm+B71WS054GGmHD2L9mAnEniXbOvXwGjKc6OVLyA65gdKnHL6Tp+I5bKRhYhWnVm1wbteByI8WkhsViXUVf3wnTSU/NYW0A3+arPfTTz/lgw8+MFq2YMECsy0433//PUOHFnW17dSpE+np6Rw/ftwwviw6Opp69erRsGFDAKMkLjo6Gn9/f5o3b45EIqFCBeNhANOmTTM89/Pz46OPPmL8+PF8843xGNin5eDggKWlJdbW1nh6epotFx4ezu7duwkKCuKV+5OhbdmyBV9fX3bu3Em/fv2Aol4+a9asoXLlygBMnjyZRYsWma3X398fHx8fjh07RrNmzTh27BgtW7bE09OT8uXLc/r0aVq3bs2xY8cMrXjffPMNvr6+rFq1ColEQtWqVYmLi2POnDnMnz8f6f2x3nXq1OG9994DYN68eXz22We4uroyduxYAObPn8/q1au5evUqTZs2ZdWqVdSrV49PPvnEEN8PP/yAr68vYWFhBAQUfQ/Url2bBQsWGOJftWoVhw8fpn379qX/AAThCf7fJnkP5OXllUjqHhV8NYvQh7ogWMiLfuw62stRZRQaljvayYmMMX+FTpWu5V6C8fv3EvJpVs/8OL7ElALSM7V4uVlw1cRwI3t7B6RSKapHBuSr1SqcnE23vDg6OaF+ZOC5Wq3C8aEr7lX8A1i56luys7PRagtwcHBk5rQpVPEv6qrodP9qqG954y+Rcr7lSU5+fAupvb09UqkUterRGNRmY/636bIz0BcWIrUzbm2S2TlQmKl+7LoSSwVW9V8h48/fTL6vz9dQmJJIYUoi6rvheLy3HOumbcg6tLNUMRZmFsUos3c0Wi53cKQw/fEtohJLBbZNW6Da/mOJ9/KjbhPz/hSkVtYgl6PLzMBnwVI0keEmano8fU4Wel0hElt7o+USG3v0WaaTMl1mOnpdITx09bowOR6pnSPIZFBYfM5JHZyxqFSdzF/L9iMFwNFKgUwiIS3H+GJPWo6mxDg7cyxkUqq6O3JPnW2oUy6VUMnF+O+u6GzH5TjzXUD/qwoz0tEXFpZo7ZU7OpVoTXnAY+ho1Ef+QvXXHwBo7kYiVSjxmTyTpF9/xKpKABZOzlRZ8Z1hHYlMhk2N2rh068X1Xh1A9/jxyg/TZt6P0cFEjGrTMboPHoX6+EHUh+7HGB2JVGmF14TppGzdUnyMarUUJMRRAOTdCUdZJRCXbr2JX/P475ZHFajU6LXaEi1ili4u5KemmFxHq1Jza8ZMJJaWWDg4kJ+cTIW3pqCJLdk1uNKc2Ti/1pxrY8aSX8aeLNr0+zE+0kIrd3Iu0QL5gPeYcaT+tZ+UfUUXaXLvRCBVKqkway7xmzcUdYWPiyV06kSkSiUyaxsK0lKptOBDNHGl7+KsTVejL9SWaEW2cHKmIM30Z+09eiypfx0g9Y+iGPMi7xTFOHNOUYujXk+58ZNI+PlHVEcPG8pYenjiNXiY2SRv3rx5zJgxw2iZQqEwWTY0NJTg4GB27NgBFF1wHTBgAN9//70hyZswYQJ9+vQxtCb17NnTkDiNHDmS9u3bExgYSKdOnejWrRsdOhSPzz506BCffvopt27dIiMjA61WS15eHjk5OVhbP78Zf0NCQpDL5TRpUjyDt4uLC4GBgYSEFA/RsLa2NiR4UDSxypN6XD0Ylzdv3jyOHTvG22+/DUDLli05duwYTZs25ezZs4bkLCQkhGbNmiF5qPv/q6++SlZWFjExMZQvXx4oSsYekMlkuLi4UKtWcZdpD4+i2XQfxHflyhWOHj2KrW3J33MRERFGSd7DnuZvFISy+n/bXbM0cjV6EpILDI978fmkpWupHVj8T9FKKSWgopLQyFyz9YTcycXbw3hSEh93C5JTtWbWABdHOXY2MlQZpstYWFhQpUoAV69cMizT6XRcuXyJQDODwatWrc6Vy5eMll2+dJGqVUsOwrexscHBwZG42Bhu3w6jSbOiLxMPD0+cXVyIjTFu1YyLjcHd3b1EPSVj9ufylctGMV++fNlkDC9EYSEF9+6gCHhoHIxEgiKgJvlRj092rOo2RSKXk3vu5NNtSyJBIi/D9ZZCLZqo21jXqGtUl1X1uuTdNj9tPYBt49eQyC3IPHXUbBldbg66zAwsPLxRVKxC9sUyjDspLEQbdxeLig99rhIJFpWqUhBzx+QqBfduI3N2NxqDJ3PxQJepNkrwoKgVT5+dQUH41dLHdp+FTEo1D0eCo4u/aHV6PcHRSdT2erquYoU6PbdTMnC9nxRayKRU93AiSmXcDTdalYWX3fP7MfWi6LVacm+HYVPnobG+Egm2deqTc8v01P9ShdIokQfQP0jaJBKyrlwkbNIowt96w/DICbuF+tghwt96o1QJHgBaLXkRYdjULh4LjESCTa16ZsfPSRQK0D0S44Nj0NwYUUAilSIxM0HU4+i1WrJCbuHQpJFRjA6NG5F59Zr5FQF9fj75yclI5HJc2rYl9dhxo/crzZmNc5vWXH9zPJp/MJmHXqslOywUuwYNjWK0r9+QbDNjsqUKJXr9I5/XQ5+10eK8PArSUpHZ2mHfqAnqoKf8P/pIjDlhodjXN47Rrn4DsszFqFTAIzHqH4lRqlAWL3v473jMsaBQKLC3tzd6mEvyvv/+e7RaLd7e3sjlcuRyOatXr2bbtm2kpxddFOvcuTN3795l+vTpxMXF0bZtW0OXxvr16xMZGcmHH35Ibm4u/fv3p2/fvgBERUXRrVs3ateuzbZt27hw4QJff100+27+g9tYSKVGXUMBo+6Uz9ujk6pJJJIS8Tzqwbi81NRULl26RMuWRROEtWzZkqNHj3Lq1Cny8/NLPemKqVgeXvYgSdTdPx6ysrLo3r07ly9fNnqEh4fTokWLx9arK+3/MkF4Sv/vW/LKas8RFf27uBCfnE9iSgGDu7uSlq7lzOXiQcyLppbjzOUs/jiuBmD3YRWfv12evp2c+ftCJgF+Sjo0d+SbLUW3S1AqJAzs6sqpS5mo07V4ulkyorcb8ckFXLxpvqtmz159WLb0C6r4BxAQEMiuXTvI0+TRrn1HAJYu/hwXF1dG3O+e83qPXsybM5Md23+nYaMmnDx+jNvhYUyeMs1Q598nj+Pg4IibmztRUZGs/fYbmjR9hfr3vzQlEgm9+/Tnpx83UrFSJSpWqsyRQweJibnH3HfnP3H/9erVm6VLF+Pv728Uc/v2RVcdlyz+EhcXF0aOGg0UfdFER0cDoNVqSU1NISIiAisrK7y9vQHIzc01moksITGBiIgI7Ozsnph4mpJ1bB9OQyZSEB1BfnQEti27ILFUkHP2GABOQyZRmJ5Gxt6fjdazbtqa3Gvn0eVkGS2XWCqw69CL3GsX0GWokNrYYfNaR2QOzkYzcJaGev8O3MfOQBMZTt6dMBw69ECiUJJ5oqiPv/u4GWhVqaT9vtFoPbuW7cm+eBqdidkKbRo1pzAzHW1qMpa+frgOGUf2hTPkXr9UouzTyDt9ENteoymMu4s2NhJl03ZILBRoLhWNobPtNRpdhpqcw9sB0Jw7hrJxG6w7DSQv+AgyZ3esXutK3tlH7vUmkaCo+yqaK6dL/4P/EUMaBLBg/zmqezhRw9OZny6Gk1ug5fUafgC8/2cw7rZWTHmtKOn/7vRNank54+toS6amgE3nw4jPyKZXrYqGOoc3DGTuvjPU93Gloa87p6ISOHEnnu/6l22W0qcls7HGpkp5w2vriuWwr1OV/LR08u6Zn8Tgn0rZ+Tvlps8lNzyM3LAQXHr0RapUojq0H4ByM+ZRkJpM4sZ1AGQEn8K1Zz9y74QXddf08sFj6Ggygos+T11uLpq7UUbb0GnyKMzMKLH8aaXu3or3W3PIjQgjN/wWLt36IFUqUR8uGpfq/dYctGkpJP34PQBZ507j/Hpf8iJv3++u6YP74FFknis+5tyHjiHrYjAFyUlIraxxaNEG6xp1iF4012wcjxP344/4L/qArJshZN2/hYLMyoqkXbsB8P/wA/KTkrn71SoAbGvWxNLdjezQMBTubvi++SYSqYTYDcXnfKV5c3Hr3ImQ6TMozM4xjHMrzMpC95jxYeYk/vYzFee9T86tW2TfuoFH34FIrZSk/LkXAL935lOQnEzs2qLbTKSf+huP/oPICQ8j++YNlOXK4T16HOmn/jbsR/tGTUAiIS/6Lspy5Sg3fjJ50XdJ/WNvmfZj4u+/4jf3XbLDbpFz/xYKUqWS1P1FtyTwm/ce+ckpxK1bcz/GIDz6DSyK8X6XUu/RY1GfDjLEqD4dhNfQEeQnJRbdQsE/APd+A0j985/f5kCr1bJp0yaWLFli1PoG0LNnT37++WfGjx8PgJubGyNGjGDEiBG89tprvP322yxevBgo6ikzYMAABgwYQN++fenUqRNpaWlcuHABnU7HkiVLDF0Sf/vNuLeJm5sbCQkJ6PV6QxJz+fLlx8ZtaWlJ4SMX3x5VrVo1tFotZ8+eNbQ6pqamEhoaSvXq/2xm0tatW5Odnc3SpUvx9/c3fNe3aNGCMWPG8Oeffxq6dT6IZdu2bUZ/Y1BQEHZ2dpQrV87sdp6kfv36bNu2DT8/P+RluWgrCM+BOBLLaPtfaSgtJUwc7ImNtZSQiFw++CrG6J52nm6W2NsWT8Ry+24en66JZVhPNwZ0cSExpYB1vydx/FzRD22dDvx8FLRuao+NlYy0dC2Xb2azZU8K2sfcK++1lq1Iz1CzZfNGVCpV0Q3JF31imIwlOTkJyUMzt1SrXoNZs+fx46YNbNqwHm8fH959fyEV/Ip/oKalpfH92m+Lun06OdOmbXsGDBpitN0ePXuTn5/Puu/WkJmZScVKlVj08ed4eXk/cf+1aNmS9Ix0fty8+X7MlVi06COzMaelpfLWlEnF+3/bNrZv20atWrX47PMvAQgPD2Pe3DmGMuvWFnXzatuuHTNmmB+8bU7updNIbe2x69K/6GboMVGkrPnUMBmLzMmlxNVpubsXisrVSPnmoxL16XU65O4+uIxuidTWDl12JvnRESSvXIg2oWzjPLPPniTVzgGn3kOROzihib5D/JfzDZOxyF3cSlwJtfD0wSqwJnGfv2uyTrmjE66D30Dm4IhWrSIz6DCqnb+UKT6A/BvnyLGxxap1D6S29mgT7pH543L02UVjEKUOLkYx6jJUZG5ehnWnAThOWIguQ0Xe2UPk/m3cHcqiUjVkji7klXFWzYd1DPRFlaNh9ambpObkEejmwKrezQ3dNRMyc5A+dLU+Q5PPhwcvkpqTh73CgmoeTqwf1Nqoe2Ybfx/eaVef9cGhfHn0MhWc7fiyezPq+ZiZEOMZcWhQk2aHi+8FVX3xOwDc27Sdq2PmPbftpp88itzBAY+hI4tuhn4ngsj5cwyTsVi4uRsl40m/bAa9Ho+hY7BwcUWbriYz+DQJm9c9txgzgo4hs3fAbeBI5E5OaCIjiF4019C92cLN3ah1Mfn3H9Hr9bgPHoXc2ZXCDDWZ588YkkAAmYMT3lPnIndyRpeTTV7UHaIXzSX7Stnu2Zjy10HkTk6UnzC+6GbooWHcmDTF0M1Q4elpGBMNIFVYUmHSRJQ+PhTm5KIK+pvw99+n8KFZE736F415qrXOeAKb8PkLSdpTcpzrk6iOHkbu6IT36DewcHYh53Y44W9PR3t/2IDC3cPos47bvAG9Xo/PmDexdHOjQK0i/VQQsfcTLACZrS0+Y8dj6eaONjMD9fFjxK5bU9xyWpYYHRzxHvnG/ZuhhxM+Z6YhRkt3D6P9GL+5qEum95hxWLq6oVWrUJ8OIm5dcXfheyuX4T16LOWnzsLCyanoZuh7dhnGFf4Te/fuRaVSMWbMGBwcjIcJ9OnTh++//57x48czf/58GjRoQI0aNdBoNOzdu5dq1Yp6SixduhQvLy/q1auHVCrl999/x9PTE0dHR6pUqUJBQQFfffUV3bt3JygoiDVr1hhtp1WrViQnJ/PFF1/Qt29f9u/fz59//om9vXG384f5+flx9uxZoqKisLW1xdnZ2ZBEPuDv70+PHj0YO3Ys3377LXZ2dsydOxcfHx969DB9a5CnValSJcqXL89XX33FkCHFv1F8fX3x9vbmu+++Y9CgQYblEydOZPny5UyZMoXJkycTGhrKggULmDFjRom4S2PSpEmsXbuWQYMGGWbPvH37Nr/88gvr1q1DJjM/KZ8gPC8S/ZPawl9i06dPB0pOtPKwHhPKdt+t52nX6uJ7NIVFRL/ASMwLqFzcknA7IvIFRmJelcrFSW3s1AEvMBLzfFb8angeMbzrC4zEvMqbiq9ipy584wVGYp7LwuLEIftb08nti2bz5seG5/ssAh9T8sXpWlD8//BaN9P3i3yRau0t7n58s1fbFxiJedV3FLdIB9Vr8AIjMe/VS8UJ6vmWzV5gJOY1PH7a8PxC62dzb9RnrcHRp5/xt3v37uh0OpM3Pw8ODqZJkyZcuXKF3bt389NPPxEVFYWVlRWvvfYay5Yto2LFiqxdu5ZvvvmG8PBwZDIZjRo14ssvv6RevaIuysuWLePLL79ErVbTokULhgwZwvDhw1E9NOP2mjVr+OSTT0hLS6NPnz4EBgby3XffGW6NMHLkSNRqNTt37gQgLCyMESNGcOXKFXJzc4mMjDR5ywWVSsXUqVPZvXs3+fn5tGjRgq+++gr/++P8N2zYwLRp04zmC9i5cye9evV6YpfNkSNHsnHjRn755RcGDCj+Lh81ahQbNmzg559/ZuDAgYblx48f5+233+bKlSs4OzszYsQIPvroI0MLnKkbvPv5+TFt2jSjyWskEgk7duygZ8+eQNEEM3PmzOHo0aNoNBoqVKhAp06dWLp0KRKJxGS9PXv2xNHRscStMgThWRBJHiLJex5EkvdsiCTv2RBJ3rMhkrx/TiR5z8bLluQJgiA8a2LiFUEQBEEQBEEQhJeISPIEQRAEQRAEQRBeIiLJEwRBEARBEARBeImIJE8QBEEQBEEQBOElIpI8QRAEQRAEQRCEl4hI8gRBEARBEARBEF4iIskTBEEQBEEQBEF4iYgkTxAEQRAEQRAE4SUikjxBEARBEARBEISXiEjyBEEQBEEQBEEQXiIiyRMEQRAEQRAEQXiJiCRPEARBEARBEAThJSKSPEEQBEEQBEEQhJeIRK/X6190EC/K9OnTAVi2bNkLjkQQBEEQBEEQBOHZEC15giAIgiAIgiAILxGR5AmCIAiCIAiCILxE5C86gP91LXufetEhlHB8+yuG57Fh115gJOb5BNQyPP8vxHih9asvMBLzGhwNMjxPenfkiwvkMdw/3mB4nrpo3IsL5DFc5n9neH6mSeMXGIl5Tc8GG55f69b6BUZiXq29Rw3P91kEvsBITOtaEGp4frNX2xcYiXnVdxw2PD9UrtZjSr447WKK/2efatjoBUZi3ivnzxmen6hZ7wVGYl6L65dedAiCIPw/JlryBEEQBEEQBEEQXiIiyRMEQRAEQRAEQXiJiCRPEARBEARBEAThJSKSPEEQBEEQBEEQhJeISPIEQRAEQRAEQRBeIiLJEwRBEARBEARBeImIJE8QBEEQBEEQBOElIpI8QRAEQRAEQRCEl4hI8gRBEARBEARBEF4iIskTBEEQBEEQBEF4iYgkTxAEQRAEQRAE4SUikjxBEARBEARBEISXiEjyBEEQBEEQBEEQXiLyFx3Af9nogb50a++BrbWMa7cyWfrdHWLj88yW/2VNfbzclSWW7/gznuVrIwGYOb4SDWo74upkQW6ejuuhmXy7+S7Rsbmlim3nvj/5dftu0lRqKleswJQ3x1AtwN9k2ci799iw5RfCIu6QmJTMxDdG0rdHN6Myg8ZMIDEpucS6Pbp0ZOqEsaWK7b8Uo1vP3ngMGIyFszO5EbeJXrmMnFshZsu79+mP2+u9sPTwQJuuRnX8GLFr16AvyC8qIJXiPWIMzu07YOHsQkFKCikH/iBh84YyxQdg1aQt1q91RmrrgDYhmsy9P6KNiTRbXqK0xqZ9HxQ1GiC1sqFQnUrWvp/ID7ta9L6lEpt2vVFUr4/U1h5t3F0y9/2ENtZ8nU+iaNgKq1c6FMWYGEPOnz+jjYsyH6PCCus2PbGsWh+JlTW69DSyD/xKwe3rhjJSO0es2/bGokpNJBaWFKYlk7V7A4Xxd8sUo0ffvngPGYqFiws54eFELllM9s2bpuOTyfAeORK3Ll2xdHMjNzqa6FVfkX7mjKGMXd16eA8dik3Vqli6uRH69tuoThwvU2wPOHftiVvvAcidnMmLjCDu25Xkht0yW97l9T64dHkdCzcPtBnpZAQdJ2HjWvQFBSXKuvUdhOfIcaTs2kr82q//UZxP4ty8IZVmjsGhfk2U3u6c7zORxN2Hn+s2H3Dq3AOXnv2ROzqjiYogft1X5IWHmo+1W2+cOr2Ohas7hZnpZJw6QdKP6wz70Klj96L33T0A0Ny7S8pvm8m6GFzmGMuNGEiF8SOxdHMlKySU0Pc/JePydZNlJXI5fpPfwKvv6yg83cm5E8XtT5aReizIqJzC050q70zHpXVzZFZKcqPucWPGe2ReNX2MP4lnv354DxuKpYsL2eHhRH75JVk3zJ8vPqNG4d7t/vly9y53v1qF+vRpQxn7evXwHjYM22pF58utmbNIO/7Pzhevgf3xHTUCS1cXskLDiPjkczKv3zAdo1yO7xuj8ejRDYW7OzlRd4lcugJV0CmT5X3HjKLi9LeI2byFO58v/kdxCoIgPA+iJa+MBvXyoXdXL5asiWD83GvkaXQsfr86lhYSs+u8OfsqvUafMzxmLCz6sjl2KtVQJiwim89W3Wb4W5eZ9eFNJBJYPL860lJ8UkdPBrF63UaGD+rHt8u/oHJFP+bM/wiVOt1keY1Gg5enB2NHDMHZydFkmdVLP2PrprWGx5cfzgegZfNmTx/YfyxGp9ZtKTdhCvEbfyBk3GhyIm7j/8VS5I6mt+/Utj0+48YTt+kHbowYTNSXn+HUui0+Y980lPEcNBS3Hj2JXrmUGyMGE/PdN3gOHIJb775lilFRqzG2XQaSfWQnaV8vQJtwD8eRs5DY2JleQSbDcdQsZE6uZPy0itRl88jcsR5dhspQxK7XKCyr1CBj63ekrXyP/Ns3cBz9NlJ703/3k1hWb4hNh37kHt9L+ncfUZhwD7shU5FYm4lRKsN+6HSkjq5kbl2D+uv5ZO3djC5TbSgiUVpjP2o2el0hmT+tRL16ATkHf0efl1OmGF3ataPC1GnEfL+OayOGk307nGorViJ3cjJZ3nf8BDx69iJqyWKuDBxA0vbtBH7+BdYBAYYyMiul4cfvs+DwWmu83phA0s8buT11HHmREVRc9AUyB0fT5Vu2xXPkOBJ/3kTYhBHErvwSh9da4zmi5AUPK/9AnDt1Jzcy4pnE+iQyG2syroZy/a0P/pXtPWD/ais8Ro0n+ddN3Jk5nryoCCrM/9zsPrR/rQ3uw8aS/OsmIqaMIm7VYuybt8J96BuGMgWpKSRtXkvkrAlEvj2R7GuX8J27CIVvhTLF6NG9IwHz3+bOsjUEd+5P5s0w6v34LRYuzibLV549BZ+hfQmd/yln2vQkZvNv1F63HLsaVQ1l5A72NNyxCX2BlsvDJnC6dU/CFn2JNj2jTDG6tG+P3/RpxKxdx5Whw8gOC6f6V19hYeZ8KT9xAh69e3Hnyy+51H8ACdu2E/jlF9gEFp8vUisrssPDuPP5F2WK6VFunTpQefZM7q7+lov9BpMdGkbNb7/Bwtl0jH5TJuLVrw+3P/mC8z36EP/bVqqvWIJN1cASZW1rVserXx+yQsOeSaz/Bj8/P5YvX254LZFI2Llz51OXFwThv0ckeWXUr5sXm7fGEHROxZ27OXyyMhwXZ0uaNzb9RQyQnqElTV1geDRr6ERMfC6XbxR/0e45mMjVmxkkJGsIv5PNup+i8XBT4OmmeOrYft+5hy4d29G5XRv8yvsyfeI4FAoFfx48YrJ81YAqjB89nDYtmmNhYWGyjKODA85OTobH6XMX8PbypE7NGk8d138tRo9+A0jZt4fU/X+QdzeK6KVfosvT4NK5m8nytjVqkXX9GqrDB8lPTCDzfDCqIwexqVrNUMamRk3UQSfJOHOa/MQE1CeOkXE+GJuq1csUo/WrHck9f5y8i39TmBxH5q6N6AvysWrQwmR5ZYMWSK1sSf9xJQXRt9GpUyiICkWbcK+ogNwCRY2GZB34jYKoMArTksg+spPC1CSsGrcpU4zKZu3RXPwbzZVTFKbEk71vCxTko6j3qsnyinqvIrGyIfPXb9Dei0CXnor2bhiFiTGGMlavdkSXoSJ790a0cVHo1KkU3LmJTlWyJfdpeA0aTNKunSTv3UtuZCSRn32GLi8P9+7dTZZ37dyZ2I0bUJ86hSYujsTt21CdPoXX4CGGMurTp4n5dg2q48fKFFOJbfbsh+rAPlSH9qO5d5fYr5ei0+Th3L6zyfI21WqQE3Kd9OOHKUhKJOvSedQnjmDlX9WonFSpxHfWu8R8tZjCrMxnEuuTJB84QdiC5STuOvSvbO8Bl9f7oj74B+lHDpAfc5f4NcvRaTQ4tu1ksrx11Rrk3rpOxskjFCQnkn3lAhknj2LlX/zDP+v8abIuBpMfH0t+XAzJW35Al5eLVUDZzuny44YT+/M24n/bSXb4HW7NXURhXi7eA3uZLO/VuxtRX60j9chJcqNjiN38G6lHTlL+zRGGMn4TR5MXl8DNme+Tcfk6efdiSTtxmty7MSbrfBLvIYNJ3LmTpD17yI2M5M6nn1KYl4f766+bLO/WpQux6zegDjqFJjaWxG3bUJ86hfeQoYYy6lOnuLd6DWnHjpUppkf5DB9K/NbtJO7cTc6dO4Qv+hhdXh6evXqaLO/evRvRa79HdfJv8mJiif/1d9JOBlFu5DCjclIrK6p+9glhCz9Em1G2JPlxkpOTmTBhAuXLl0ehUODp6UnHjh0JCipqmX1ScvasnDt3jnHjxj337QiC8PyIJK8MvDwUuDhZcuGK2rAsO6eQkPBMagSaaZ14hFwuoX0LN/48kmS2jFIhpXMbd+IS8khKzX+qegsKCgi7fYcGdWoblkmlUhrUrcXNUPNdkkqjoKCAQ0dP0LldayQS8y2X/+UYJXI51gGBZFw4V7xQryfz4nlsa9Q0uU7WjWtYBwRifT+ps/Tyxr5JM9LPFnfhy75xHbv6DVGU8wXAqnIVbGvWJiP4jMk6H0smQ+7tR/7th7pI6fXk376BRfnKJldRVK1Lwb3b2L0+DNd5K3B+6yOsW3aD+/tIIpUhkcmKu5c+qLYgH4sKAaaqfDypDLlXefIjH+7iqic/MgSLcpVMrmIZUAdtTAQ2nQfhNGMxDuMXYNW8syFGAIuAOmjj7mLb902cZi7GYex7KOo1L318FH3WNlWrkh5s/FmnnzuHba1aptextESnMd5HujwN9nXqlCmGp4nRqkoAWZcvGMWYdfki1lVNX8TIDrmBVeUArAKKkjoLDy/sGjYh8/xZo3LeE6aRee4M2VcuPpfY/2fI5SgrBxj/nXo92VcvYh1oOiHLuXUDZeUAlPeTOgsPL2wbNCbrgpmumFIp9s1bI1EqyQktfTdIiYUcu1rVSTv50P8DvZ60k2dwrG/62JIoLNFpNEbLCvM0ODaqZ3jt2r4VmVdvUmvNElpcPkaT/b/hPbhPqeODomPRtmpV0s8+tA/0etKDg7GrbeZ8sbBAl28coy5Pg13d53e+2FWvhvrMQ8e6Xo/6zFnsHvreeZjU0gJ9/iPntCYPh3r1jJb5vzePtBMnjet+hvr06cOlS5fYuHEjYWFh7N69m1atWpGamvrklZ8hNzc3rK2t/9VtCoLwbP2/HpOnVCqJjo4u9XrOjpYApKUbj2tRqQtwdrJ8qjpea+yMrY3cZJLXs5Mnbw6rgLWVjLsxOcz84AZarf6p6k3PyESn0+Hk5GC03MnRkeiY2Keq40mCzpwjKzubjm1bl2n9/0KMcgdHJDI5WlWa0fICVRrK8uVNrqM6fBC5gwOBK1cjkUiQyOUk79pBwpZNhjIJP21GZm1NjY0/gU4HUilx339H2qG/Sh2j1NoOiUyGLsu4i6suKwO5m5fJdWTO7sgcXcm7chr1xqXIXDywe304yGTkHNmFPj+Pgrvh2LTuQUZyPLqsdBS1m2JRvgqFqYmljlFibYtEKkOfbXzFW5+dicTVTIxObkgrVkVz7SwZP69E5uSOTZfBIJWRe2KvoYysYUtyzxwk9+8/kHv7YdNpIBQWorl62mS95sgdHZHI5RSkPfJZp6VhVcF0l7v0M2fwGjyYzMuXyIuJwaFRI5xbt0ZSmn7VpSCzd0Aik6FVq4yWa9UqFOVMH4/pxw8jt3eg0ucrDcdj6h+7SP59i6GMQ4vWWFX25/b08c8l7v8lcrv7+zDdxD708TW5TsbJI8jtHaj48Qq4vw/T9u8mZdtPRuUU5StS8bOvipL/vFxiPltAfkzpx4ZaODshlcvJTzb+QZ+fkopNlYom10k7foryY4ejOnuB3Kh7ODdvinvntkikMkMZq/Ll8BnWn+i1m4j6ai32dWsSuGgu+vwC4rfuLlWMD86XfFPni5+fyXXUZ87gPXgIGRfvny+NG+Hc5vmdLxZOTkUxphrHmJ+aikNF0zGqgk7jM3wo6vMXybt3D8emjXFt2waJrHg/unXuiG21qlwcONRkHf+UWq3m5MmTHDt2jJYtWwJQoUIFGjduDBR1oQTo1auX4b2oqCgiIiKYMWMGZ86cITs7m2rVqvHpp5/Srl27p972ggUL+O677zhw4AC1a9fGz8+PadOmMW3aNKCoBXHt2rXs27ePAwcO4OPjw5IlS3j9odbb3bt3M3PmTO7du0ezZs0YOXIkI0eORKVS4WhmmIMgCM/P/+uWvE8//RR3d/cnlmvXwpU/tzQxPOSy0rcMPapLW3eCL6pIVZWcAOHgiWTemHWFKe9dJyY+j4WzAh871u/f9sfBwzRuUA9XM2NE/he8iBht69TDa8hwopcv4ea4UUS8Pw+Hps3wHDbSUMapVRuc23Ug8qOF3Bw3iqjPPsKj/yCcO5rucvfMSSTosjPI3LkebdxdNNeCyT62B6vGxclwxtbvQAKuc5fj9sE6rF9pj+bqGdA/3YWGZxNjJtl7N1MYH03+zfPk/v0HygYtjcpo46PJPbKTwoR7aC6eJO/iSRQNTXdTfdaili4h79496vz6G03+DsJv1tsk791TlLj/j7CpVQe3/kOIW72c8KnjuPvx+9g1bIr7wKLuZxaubniNncy9xR+bnIhFAOsadXDtM5j471ZyZ+Z47n02H7sGTXDtZ/wjXxN3j4gZ44icPQnV/t14vzUHy3JlG5NXWqHzPyMnMppXju2mTeRFAj+aR9yvu9Dri49FiVRK5vUQIj5fSeaNW8Ru2UrsT9vwGdb/X4kxcvEScu9FU2/r7zQ7fYpKs2eTtHsP+v+h8yXisy/JvRtNoz3bee1SMFXemUvizt2GGBWeHlSe+za35r5bosXvcTQaDRkZGUYPzSMtrw/Y2tpia2vLzp07TZY5d66ot8H69euJj483vM7KyqJLly4cPnyYS5cu0alTJ7p37/5UF7H1ej1Tpkxh06ZNnDx5ktq1Tbd0AnzwwQf079+fq1ev0qVLF4YMGULa/WQ/MjKSvn370rNnT65cucKbb77Ju++++8TtC4Lw/Py/bskDCAkJYfr06UbLli1bZvQ6KDiNkLAsw2uL+wmXs4MFaQ8laU6OFtyOzH7iNj3cFDSo7cj7X5ieFS87p5DsnEJi4/O4GZbJ3k2Nea2JC4f/Tnli3Q72dkilUlQq49YdlVptdsKS0khISubilWt8MG9Wmev4L8SoTVejL9QidzJOEi2cnEu0+DzgPXosqX8dIPWPPQDkRd5BqlRSYeYcEn7cCHo95cZPIuHnH1EdPWwoY+nhidfgYaQd+LNUMepyMtEXFiK1NW4Rldral2jdM6yTqYbCQqOErTA5DpmdI8hkUFhIYVoy6nWfgYUlUqUVusx07AdMoLAM4930OVnodYVIbOyNlkts7NCbizErHf2jMaYkILVzAKkMdIXoMtMpTI4zWq8wJQFFtfqljlGrVqPXarFwfuSzdnYmP810FymtWk3Y7LeRWFoid3CgIDmZ8pMmkxcXZ7L8P1WYUbRP5I7Gk0bIHZ1KtDY/4DF0NOojf6H66w8ANHcjkSqU+EyeSdKvP2JVJQALJ2eqrPjOsI5EJsOmRm1cuvXieq8O/1NJ6z+lzby/Dx1M7EO16X3oPngU6uMHUR+6vw+jI5EqrfCaMJ2UrVuKj1GtloKEOAqAvDvhKKsE4tKtN/Frlpms15yCNBU6rRZLNxej5ZauLuQnmT4WC9JUXH1jKlKFJRZOjmgSkqjyznSj8XaapGSyw40n1ckOv4N7l6dv6XngwfliaeJ8KTDTpVCrVhM6q+h8sXBwID85mQpTJqOJfT7nS4FKVRTjIxf5LF1cyE8xsx9VKm5OnVEUo6MD+UnJVJz+Fnn3e5fYVq+GpYsL9X8rbsWVyOU4NKiPz6ABnKzfxOT58umnn/LBB8YTDC1YsICFCxeWKCuXy9mwYQNjx45lzZo11K9fn5YtWzJw4EBq166Nm5sbAI6Ojnh6ehrWq1OnDnUe6ir+4YcfsmPHDnbv3s3kyZPN7ietVsvQoUO5dOkSf//9Nz4+PmbLAowcOZJBgwYB8Mknn7By5UqCg4Pp1KkT3377LYGBgXx5f6KpwMBArl+/zscff/zYOgVBeH7+X7fkAeh0OpYtW2b0eFRuno7YhDzDI+peLqmqfOrXdjSUsbaSUc3fjhuhT564oHMbd9QZBZy5oHpiWQlFQ5EsnrIlz8LCgoAqlbh49ZrR33jxyjWqB5acJay09h86gqODPU0bNShzHf+FGPVaLTlhodjXb1i8UCLBrn4Dsm6YnspcqlSA3vhL3nCl+v54MqlCWfLqtU5nNN7sqRUWoo2LwrLyQ+OJJBIsK1enINr0LIkFd8ORuXgYbU/m4klhhqoo+TMqnI8uMx2J0hpL/1poQsowZktXiDY+GouKD0/2IcGiYjUKYu6YjvHebWTObhQd/fdjdHYvSlB1RTFq791G5upptJ7MxYPCdNM/1h9Hr9WSfesWDo0aPRSiBPtGDcm6ds38ioA+P5+C5GQkMhnOrVv/41skPC7G3Nth2NR5KImVSLCtU5+cW6anhJcqlCVaXx8+HrOuXCRs0ijC33rD8MgJu4X62CHC33rjpUrwANBqyYsIw6b2Q2OsJBJsatUzO35OolCA7pF9+OA8ecw5K5FKkZiZIOpx9AVaMq/dxLl5E6MYnZs3RX3xymPX1Wny0SQkIZHLce/SjuS/jhreSz9/GetKfkblbSr5kRcTX/oYtVqybt3CobHx+eLQqBGZV598vuQ/OF/atPnHt0h4XIyZN0NwbGK8Hx2bNCbzytUnx5iUjEQux7V9W1KPHgNAfSaY8z37cqHvQMMj8/oNkvb9wYW+A82eL/PmzSM9Pd3oMW/ePLPb79OnD3FxcezevZtOnTpx7Ngx6tevz4YNG8yuk5WVxaxZs6hWrRqOjo7Y2toSEhLyxJa86dOnc/bsWU6cOPHEBA8wauWzsbHB3t6epKSiISehoaE0evh/KBi6mQqC8GL8v2/JK6vf98YzvG85YuJzSUjUMHqQL6lp+fwdXPwjc+nC6pw8m8aOPxMMyySSoiRv/9EkCh/5TvDyUNDmVVfOXVajzijAzUXBkN4+aPJ1nLmofurY+vXszmfLVhFYpTJVA6qwbdc+8vI0dGpX1CXv06UrcXVxYeyIopkACwoKuHuv6KqvVqslJTWN23cisVIq8fEuHjel0+nYf+goHdq0QvbQOIWy+C/EmPj7r/jNfZfssFvkhNzEvW9/pEolqfv3AeA37z3yk1OIW7cGgPRTQXj0G0hOeBjZITdR+JTDe/RY1KeDDD8A1KeD8Bo6gvykRPIiI7H2D8C93wBS/9xXphhzgg5g32cs2thICmLuYP1KBySWCnIvnATAru/Yolko/9oKQG7wUayatsO26xByTx9E5uqJTatu5JwunuXQskrNou6QKfHInD2w7TyAwuR48i78XaYY804fxLbnKArj7qKNi0TZpB0SC0s0l4tmi7PtMQpdppqcIzsA0Jw/jrJRa6w7DSAv+AgyFw+smnchL7h45tXcs4dwGDUXq+ad0dw4j9ynIsr6r5G1d3OZYoz/+Scqz19AVkgIWTdv4DVwIDKlFcl7i8YAVl6wkPzkJO59801RzDVqYOHmRk5YGJbu7pR7Y2zR+MrNxduXWlmhLFfO8Frh7Y21vz/ajAzyE0s/vjFl5++Umz6X3PAwcsNCcOnRF6lSierQfgDKzZhHQWoyiRvXAZARfArXnv3IvRNOTmgICi8fPIaOJiP4NOh06HJz0dyNMtqGTpNHYWZGieXPmszGGpsqxWMJrSuWw75OVfLT0sm7V/rE42ml7t6K91tzyI0IIzf8Fi7d+iBVKlEfPgCA91tz0KalkPTj9wBknTuN8+t9yYu8TW5YCJZePrgPHkXmudOGc9p96BiyLgZTkJyE1MoahxZtsK5Rh+hFc8sUY/R3m6i+7GMyrtwg/fI1yr8xDJmVFfG/7gSgxvKPyUtIIuKzFQDY16uFwtOdrBuhKDzdqTRjAkik3F29vrjOtZtouHMzfpPfIHHvAezr1sJnSB9C5iwqU4xxW37Cf+ECsm6GkHXjBl6DByGzsiJpT1EvhiofLCQ/KZnor4vut2hbowaW7u5kh4Vh6eaG77hxSCRSYjcVj1eWWlmh9C0eG6nw8cY6IABtenqZzpfYTT8S+PEism7cJOP6dcoNHYzUyoqEnbsACPzkQzRJSUQt/woAu1o1sfRwJ/tWKJbu7lSY+CZIpNz7YQMAhTk55Nw2vnhWmJtLgTq9xPKHKRQKFIqnnx0biuYLaN++Pe3bt+f999/njTfeYMGCBYwcOdJk+VmzZnHw4EEWL15MlSpVsLKyom/fvuQ/oVtp+/bt+fnnnzlw4ABDhgx5bFmgxMzWEokE3ct2MUgQXiIiySujn3fEYqWQMmt8ZWxt5FwLyeDtD2+SX1B81dfbU4mDvfE/xQa1HfB0U/DH4ZITruTn66hdzZ6+3byws5GjSi/gys0MJs27hjr96cfMtH7tVdTpGazf8gsqlZrKlfz4/IN3DV0hk5JTkEqKG3FT01SMm/q24fVvO3bz247d1KlZnWWfFv8IuHD5KknJKXRuX7ap9P9rMaqOHkbu4Ij3yDfu3ww9nPA5M9GqilpgLd090D90lT9+c1GXTO8x47B0dUOrVqE+HUTcuuLucPdWLsN79FjKT52FhZNT0c3Q9+wiftP6Ett/GpprwWTZ2GHTthdSOwe08dGoNywxTHQic3Axas3Rpaeh3rAYuy6DsZryEboMFTmnDpJzojjJlCitsO3QD6mDE7rcbDQ3zpP91zZDK1pp5d88T46NHVatXi+6uXpiDJk/rUSfXdTqLXVwRv9wjBkqMreswLpDfxzHL0CXoSYv+DC5QfsNZQrj7pL52zdYt+mNVYtuFKpSyD7wK/nXy3YD6tRDh5A7OuE7blzRzdDDwrg1baqha67Cw8PoSr3E0hLf8eNRevtQmJuL+tQpbi9cQGFWcbdu22rVqL56jeG13/1u4cl79xLxYel/XKefPIrcwQGPoSOLboZ+J4LI+XMMk7FYuLkbxZj0y2bQ6/EYOgYLF1e06Woyg0+TsHldqbf9rDk0qEmzw8UJcfXF7wBwb9N2ro4x38rxT2UEHUNm74DbwJHInZzQREYQvWguhekP7cOHjsXk339Er9fjPngUcmdXCjPUZJ4/Y0gCAWQOTnhPnYvcyRldTjZ5UXeIXjSX7CsXSmz/aSTuOYCFizOVZk1C4eZK5s1bXBo23tDNUOnjZfR/R6pQUPntKViVL0dhTg6pR05yfeo7aDOKe5VkXLnB1TemUWXeNCpOG0/evVhCF35Bwo6yXVxKPXgQCydHyo9/EwsXF7LDwrg55a3i88XT06gFVKpQUH7CeJQ+ReeLKiiI8Pnzjc+X6tWo+e23htcVZ8wAIGnPXm4/0t3xaSTv/wsLJycqTJ5QdDP0W6FcHz+JgvuTsSi8PI16VUgVCvymTMKqnA+FOTmknQwidN77FGZmmdvEv6Z69eqG2yZYWFhQ+Eivi6CgIEaOHGmYkCUrK4uoqKgn1vv666/TvXt3Bg8ejEwmY+DAgWWOMTAwkD/++MNo2YMxg4IgvBgSvf7fmk3hf1OHDh346y/zMxu27H3qX4zm6Rzf/orheWzY47vHvCg+AcVTaf8XYrzQ2vQ92160BkeDDM+T3h354gJ5DPePNxiepy7637yvksv84kT7TJP/zS5ETR+akv5at7LNCvu81dpb3AVwn8U/71r9rHUtKL4Fy81ebV9gJOZV33HY8PxQOdO3HHjR2sUU/88+1bDRY0q+OK+cL04gTtSs95iSL06L65dKVT41NZV+/foxevRoateujZ2dHefPn2fKlCl07dqV77//noCAANq1a8f8+fNRKBQ4OTnRu3dvIiMjWb9+PRKJhPfff59jx44xevRoww3NTc2WuWPHDnr27MnWrVsZNmwYmzdvpm/fvk8s/4CjoyPLly9n5MiRREZGEhgYyPTp0xkzZgyXL19m5syZxMTEoFarcXAwHjsuCMLz9/9+TJ4gCIIgCMKLZmtrS5MmTVi2bBktWrSgZs2avP/++4wdO5ZVq1YBsGTJEg4ePIivry/17t/Db+nSpTg5OfHKK6/QvXt3OnbsSP36Tz8JVd++fdm4cSPDhg1j+/btZYq9YsWKbN26le3bt1O7dm1Wr15tmF2ztN1VBUF4NkR3TUEQBEEQhBdMoVDw6aef8umnn5ot0717d7p37260zM/PjyNHjhgtmzRpktHrR7tvPtqJq3///vTv3/+py0PRff0e9vrrrxvdN+/jjz+mXLlyKJVKk3+LIAjPl0jyBEEQBEEQhH/km2++oVGjRri4uBAUFMSXX3752Fs4CILwfIkkTxAEQRAEQfhHwsPD+eijj0hLS6N8+fLMnDnzsbeLEATh+RJJniAIgiAIgvCPmLvXsCAIL4aYeEUQBEEQBEEQBOElIpI8QRAEQRAEQRCEl4hI8gRBEARBEARBEF4iIskTBEEQBEEQBEF4iYgkTxAEQRAEQRAE4SUikjxBEARBEARBEISXiEjyBEEQBEEQBEEQXiIiyRMEQRAEQRAEQXiJiCRPEARBEARBEAThJSKSPEEQBEEQBEEQhJeIRK/X6190EC9Shw4d+Ouvv150GIIgCIIgCIIgCM+EaMkTBEEQBEEQBEF4iYgkTxAEQRAEQRAE4SUif9EB/K9rN+j8iw6hhEM/NzQ8jwm7/gIjMa9cQE3D87u3Q19gJOZVqBJoeJ7zw4IXGIl51qM/MDw/37LZC4zEvIbHTxuehw7o+AIjMS/w1wOG5+FDurzASMzz3/KH4fnNXm1fYCTmVd9x2PD8fzHGh+PbZxH4mJIvTteC4v+HZ5o0foGRmNf0bLDh+X8hxr/r1H+BkZjX/MrFFx2CIAj/j4mWPEEQBEEQBEEQhJeISPIEQRAEQRAEQRBeIiLJEwRBEARBEARBeImIJE8QBEEQBEEQBOElIpI8QRAEQRAEQRCEl4hI8gRBEARBEARBEF4iIskTBEEQBEEQBEF4iYgkTxAEQRAEQRAE4SUikjxBEARBEARBEISXiEjyBEEQBEEQBEEQXiIiyRMEQRAEQRAEQXiJiCRPEARBEARBEAThJSKSPEEQBEEQBEEQhJeI/EUH8F82oq83Xdq4Ymsj50ZoFit+uEtsgsZs+R9X1sLTTVFi+a6/kvhqfTQAXdu40uZVF6r4WWNjLaPHmEtk5xSWOrad+/7kt+27SFOpqVzRjylvjqFqgL/JslF3o9mw5RfCIu6QmJTMxDdG0adHtxLlklNTWbvhR4IvXESjycfHy5O3p04i0L9KqeMD2L13H79v20GaSkWlihWZNH4cVQMDzMa46ccthN+OIDEpifFjx9C7Zw+zdf/y21Z+2LiJXj26M2Hc2DLFB/DrxXA2ng0hNTuPAHdH5rRrQE1vF9N/z7U7LPgj2GiZpUzK2Vn9Da/n7zvDnutRRmVeqejJ1/1blTlGt5598Bw4BAtnZ3IibnNvxVKyb900W9697wDce/TC0sMTbboa1bGjxKxdjT4/HwCplTU+Y8bh+FoLLJycyQkPI/qrZeTcCilzjI4duuPcvS8yR2c0d++QtP4b8iJCzZZ36tILx/Zdkbu6U5iRQebZk6T8/AP6ggIArKrVxLl7P5QV/ZE7uxD75UKyzp8uc3wADu274dS1DzIHJ/KjI0nauBrNnTCTZX3e/Qzr6rVLLM++FEzc4oUAyOwdcR00Cuta9ZFa25B76zrJG9dQkBhX5hidOvfApWd/5I7OaKIiiF/3FXnh5vejc7feOHV6HQtXdwoz08k4dYKkH9cZ9qNTx+5F77t7AKC5d5eU3zaTdTHYbJ3/5fhKw7l5QyrNHIND/Zoovd0532ciibsPP/ftAnj07Yv3kKFYuLiQEx5O5JLFZN80fU5LZDK8R47ErUtXLN3cyI2OJnrVV6SfOWMoY1e3Ht5Dh2JTtSqWbm6Evv02qhPH/6djfha8BvTHZ8RwLF1dyA4LI+KzL8i6fsN0THI55caMwr17NxTu7uRG3SVy+UrUp04ZypQbPQqXtm2wquiHTqMh8/IVopavJPfu3Wca94vWqlUr6taty/Lly/8n6vmviIqKomLFily6dIm6deu+6HAEQbTkldWA7p706uTOiu+jmfx+CHmaQj6bG4CFhcTsOpPeDaHf+MuGx+yPi378nDijMpRRKKScu5LOz7viyxzb0ZNBrFm3geGD+rNm+ZdUrliBOfM/RKVON1k+T5OPl6cHb4wYirOTo8kymVlZTJ39LnKZjM8WvscPXy9n/OgR2NnalinGYydO8u3a7xk6eCDfrFxGpYp+vPP+AlRqtcnyGo0GT09PRo8cjrOT02PrDg0LZ9/+/VSq6Fem2B44EBLNkiOXePPVmvw0siMB7o5M/O0Yadl5ZtextbTg4KQehscfE14vUeaVil5GZT59/ZUyx+jUui2+k94ibuP33Bw7ktyIcPwXL0PuaHofObfrQLlxE4jb+APXhw8k6vNPcGrTFp+x4w1l/GbPw75hIyI/XsSNUUPJOHeWgCUrsXB1K1OMds1a4jZ8HCnbtnB37iQ0d+9Q7p2Pkdk7mC7/amtcB40mZesWImeMJeHbpdg3a4nrwFGGMlKFEs3dOyT+sKpMMT3KtmkLXIeMJW37T9x7bwqa6Dv4zP3QbIzxyz/izsQhhsfd2ePRFxaSGfy3oYzXjPexcPcibukiot+dgjYlCZ93PkGiKHmh52nYv9oKj1HjSf51E3dmjicvKoIK8z9H5uBouvxrbXAfNpbkXzcRMWUUcasWY9+8Fe5D3zCUKUhNIWnzWiJnTSDy7YlkX7uE79xFKHwrvHTxlZbMxpqMq6Fcf+uD576th7m0a0eFqdOI+X4d10YMJ/t2ONVWrERu5v+e7/gJePTsRdSSxVwZOICk7dsJ/PwLrAOKL5jJrJRkh4cT+eWX/5mY/ynXjh2oOGsG0d9+x6WBg8kODafm6q+xcDYdU4XJE/Hs24c7n33BhV59if99K9WWLcamaqChjEPDBsT/+htXh43gxpsTkMjl1FjzDVIr5TOJeeTIkUgkEiQSCZaWllSpUoVFixah1WqfSf3Py7Fjx5BIJKgf+f7evn07H3744XPddlRUlGGfSSQS7OzsqFGjBpMmTSI8PPy5bvtRvr6+xMfHU7NmTcD8fhGEf8v/+yTPza1sP1x7d3Zny454Tl1QExmdy+ffROHiZMGrDR3NrpOeqUWVXvxoUt+R2IQ8roRkGsps/zOJX3YnEBKeXaa4ALbu3EOXju3o1K4NfuV9mTbxTRQKBfsPmr4KXTWgCm+OHkGbFs2xsLAwWeaXrTtwc3Vl9rTJVA3wx8vTg4b16+Lt5VmmGLft2EXnTh3o2L4dFcqXZ+rkiSiUCg78dchk+cAAf8aNGUXrli3MxgiQm5vLZ18uYfqUydiWMQF94Mdzt+hdpzI9aleisqsD73ZshNJCzs5rd8yvJAFXWyvDw8Wm5Je/pVxqVMZeaVnmGD36DyJl725S/9xH3t0o7i75Al2eBtcuJVtiAWxr1CLr+jXSDv1FfkICGeeDSTt8EJuq1YvCt1Tg1KIVMWu+JuvqZTSxMcRt+B5NbAxuPXqVKUanrr1JP7yfjGN/kR8bTeK6lejyNTi07miyvFVAdXJDb5AZdBRtciI5Vy+SceoYyirFP7ayL58n5deNZJ07ZbKOUsfYuRcZR/eTceIg+bH3SPphFXqNBvuWHUyW12VnUZiuMjysa9VDl68h6+xJACw8fbDyr0bSD6vQ3AmnID6WpPVfI7GwxK5ZqzLF6PJ6X9QH/yD9yAHyY+4Sv2Y5Oo0Gx7adTJa3rlqD3FvXyTh5hILkRLKvXCDj5FGs/Iv3Y9b502RdDCY/Ppb8uBiSt/yALi8Xq4DqL118pZV84ARhC5aTuMv0/6TnxWvQYJJ27SR5715yIyOJ/OwzdHl5uHfvbrK8a+fOxG7cgPrUKTRxcSRu34bq9Cm8Bg8xlFGfPk3Mt2tQHT/2n4n5n/IZNoSE7TtI2rWb3DuR3P7oYwrz8vAw0wPErWtXYtb9gOrvIDSxsST8vhXV30H4DB9mKHNj4mSSdu8hJ+IO2WHhhM1fgNLbC9tqz+547NSpE/Hx8YSHhzNz5kwWLlzIl88pOX/enJ2dsbOz+1e2dejQIeLj47ly5QqffPIJISEh1KlTh8OH/53WdwCZTIanpydyuegkJ/xv+H+f5Lm7u5d6HS93S1ycLLl4PcOwLDu3kJCIbKr7P11iIZdJaNfcmf3HUkq9/ccpKCgg7HYE9esUdyWTSqXUr1ubm6Gmu549jVPB5wmsUpkPPltMn6GjeHPqLPYdOFjmGMNv36beQ90ZpFIp9erWIeTWrTLHCPDV6jU0btSQ+vXqPrHsY2MsLCQkQUWTCh7FMUokNPHz4Gpsqtn1cvO1dF69m07f7GLatpNEJJdsPT0fnUSbr3bQc+0+Pj5wHnWu+S6+jyORy7EJCCTjwrnihXo9GRfOYVOjpsl1sm5cwzog0JDUWXp549D0FdLPFnV1lMhkSORydPe7bj6g02iwq1Wn9EHK5Cgr+ZNz7aJRjDnXLqH0N/3DKDfsJspK/igrF/3Yt3D3xKZeI7IvnTNZ/h+TyVFUrELO9cvGMV6/jNK/6lNVYd+qI1mnj6PXFH2WkvsXIvQFD+1HvR69tgCrwDL8IJTLUVYOIPuK8X7MvnoRazP15dy6gbJyAMr7SZOFhxe2DRqTdcFMV0epFPvmrZEoleSEmu/u+5+M7z9CIpdjU7Uq6cHG53T6uXPY1qpleh1LS3SaR87XPA32dcpwvpbB/2LMErkc22rVUJ85axST+sxZ7GqX7GYNILW0QJdv/L9Yp9Fg/5hud3LbogRGm2G6l0xZKBQKPD09qVChAhMmTKBdu3bs3r0bAJVKxfDhw3FycsLa2prOnTsbtVZt2LABR0dHdu7cib+/P0qlko4dO3Lv3j1DmZEjR9KzZ0+jbU6bNo1WrVqZjWnz5s00bNgQOzs7PD09GTx4MElJSUBRS1rr1q0BcHJyQiKRMHLkSKCou+a0adMM9Txt/AcOHKBatWrY2toakt4ncXFxwdPTk0qVKtGjRw8OHTpEkyZNGDNmDIWFxUNedu3aRf369VEqlVSqVIkPPvjAqKVUIpGwbt06evXqhbW1Nf7+/ob9/+BvGDJkCG5ublhZWeHv78/69esN+0IikXD58mWz+2XTpk24uLig0Rgfaz179mTYsGEIwrMkLjeUgZND0Q84VbpxFwp1egHOjuZbmR72aiNHbK3l/HXCfMJQFukZmeh0Opwe6Xbp5OjAvZjYMtcbn5DI7j8P0Ldndwb3601o+G1WffcDcrmcjm1bl6qujIyMohgdH43RkXv3yh7j0eMnuH37DquWLylzHQ+ocvIp1OtxfqQlzsVaSVRqhsl1Kjjbs6BLYwLcHMnUFLA5+BYjfzzE1jGd/4+9+w5vqvz7OP5OmiZddO8yyip7L1FQtoIDEJE9ZCnIlqmyBBFFhuDiJyhDHKCADAdDhuw9WrqghZYC3WnpSps2zx+BlLQptAUE+3xf15WL9HCfk0/uJG3uc4+Dl6MdYByq2S6gAn7O9lxLTmP5gfOM3rifNf07YKUs2TkXlZMzCpWKnOQks+365CRsKloezpa0eycqJydqfP41KBQoVSriftvEze/XAJCXmUFa4AV8B75BxNUr5CQn4dq+Iw516qKLuVaifABWjo4orKzQp2jNtuemJKP2rWBxn1uH9mJVzpGKHywCFChUKrQ7t5O05acSP36xMpYzZsxNSTbbrk/VYldExrtpqgSgqeBP7P+WmrZlX48mJyEOt15vELdqOXm6LFw6d8PazYNsZ9cSZ1SVc7pdjwUyapPR+FnOmPrP36gcnaj84WegMNZj0p9bSfj1B/P8FStTecFy4xfvrEyuLZhF9rWSzTF60vP9V6icb3+mk8w/0zlJSdhWsvyZTjl6FJ++fbl19gxZ167h1KwZrm3boijh75PSehIzW7vczpRYIFNiEnZFDONPPnwE3wH9STl1mqzoazi3aI5bu7YorKwsP4hCQZUpk0g5c4aMS5eLzKLT6Qp9oddoNGiKOWzb1taWxETj94TBgwcTHh7O1q1bcXR0ZOrUqXTp0oWLFy+aRrhkZGTw4YcfsnbtWtRqNaNGjaJ3794cOnSoWI9nSU5ODnPnzqVGjRrExcUxceJEBg8ezO+//06FChX49ddf6dGjB6GhoTg6OmJra2vxOMXN/+mnn7Ju3TqUSiX9+/dn0qRJrF+/vkSZlUol48aNo3v37pw6dYrmzZvzzz//MHDgQJYtW0br1q25fPkyI0aMAGDWrFmmfefMmcMnn3zCwoULWb58Of369ePq1au4uroyY8YMLl68yB9//IG7uzuXLl0iMzOz0OMXVS9qtZqxY8eydetWevbsCUBcXBw7duxg586dJXqOQtyPNPJumz59OllZxrlWS5YsMfu/ds+4MmFY/h+r9z558HHendu4c/xsConJOQ98rH+DwWAgoFpVhg00DqepXrUKV65Gs+2PnSVu5D0KcfHxfPW/b1gw7wPU6tIPf3wQDfzcaeDnbvZzj5W/88vZS7z9rPHs8Qu1899H1T2cqe7pzMsrtnMyKo4W/qUb+loS5Ro2wqffIKKWLCQ9+CIav/JUGDMen4FvcGOt8Wxk5Idz8J/6Hg02bcOg15MRHkbSnl3Y1Sher9aDsq1dH7fuvYld9TmZ4SGovX3xHDwSt+S+JG764f4H+Jc5temELirSfJGW3FxuLJmH14hxVP1mA4bcXDICz5B+9gQoip63+zDZ1WmAe4++3PjfMjLDglH7+OI99G30PfuTsPF7Uznd9WguTxyBlZ09jk8/i+/YqVx5f+Ijb0g96fn+K64sXkSVd9+jwc8bwGAgKyaG+O3b8HzJ8lDJJ8GTmDnik4VUnzmDJls2gcFA5rVrxP62Da9uhedVA1R9dxp2VatyfvCQex73o48+Ys4c83mds2bNYvbs2ffcz2AwsGfPHv766y/GjBljahwdOnSIp582zuNev349FSpUYMuWLaYGQ05ODp9//jktWrQAYM2aNdSqVYvjx4/TvHnz4lRFIUOG5D/HKlWqsGzZMpo1a0ZaWhoODg64uhpPXHl6euJc4OTtHSXJ//XXX1O1alUARo8ezQcffFCq3DVrGv9mXblyhebNmzNnzhymTZvGoEGDTM9l7ty5TJkyxayRN3jwYPr06QPA/PnzWbZsGcePH+eFF14gKiqKRo0a0bRpUwD8/f0tPraVlVWR9dK3b1++++4703P+/vvvqVix4j17U4UoDWnk3ZaVlVWocXfHkVNaQi7lz5G7s7iKi5OKJG1+I83ZyZrLVzLu+1ie7moa1XNkzuKiz/6VlpNjOZRKJcnJWrPtydqUIhdVKQ5XF2cqVShvtq1iBT8OHC75amiOjo7GjAUmIydrtaXOGH7pMlptCqPGTjBty8vL40JgEL9t28GOLb9iVdQZWQtc7NRYKRSFFllJzMjCzd7yWcqCrK2U1PByIVqbVmSZ8s4OONtqiNam0aLY6Yz0KVoMej3WLuY9QyoXV3KSLPcQ+w4dQeLOP0nYsQ2AzIjLKG1sqDRpGjfWrQaDAd31GELHjUJpY4OVnT05SYlUmTUX3fWS97LmpqZiyM1FVWDxDSsnF/TaZIv7uL8+iNQDe0j5+08AsqOvoNTY4DViHImbfwSDocQ57pnxljGjlZP5ggwqR2f0KUlF7GWk0GhwaPkcSb98X+j/dFcuEfXuGJS2dihUKnJvpVJhzhKyIkt+kkh/K+V2PRbI6OyCXms5o2ffN9Du34V29+/GPFGRKG1s8Rk5gYRf1ufXo15Pzs3r5ABZEeHYVKuB20uvcuNry78P/4v5/iv02tufaVfzz7S1qyvZRXym9VotYVMmo1CrUTk5kRMfT8W3R5N1vfSruJbEk5g5J/l2JrcCmdxcyU4oIlOyluAJ76BQq7F2diI7Lh7/8WPJiin8e6/K9Km4Ptua80OGkX172GJRpk+fzsSJE8223asXb/v27Tg4OJCTk0NeXh59+/Zl9uzZ7NmzB5VKZWq8gXGIYo0aNQgOzl/5WKVS0axZM9PPNWvWxNnZmeDg4FI38k6dOsXs2bM5d+4cycnJ5OXlARAVFUXt2sUbfh4cHFys/HZ2dqYGHoCPj49paGhJGW7/DlHcPrF27tw5Dh06xIcffmgqk5ubS1ZWFhkZGdjZGUfc1L9rSK+9vT2Ojo6mDCNHjqRHjx6cPn2aTp060a1bN1OjtbiGDx9Os2bNiImJwc/Pj9WrV5sW3RHiYfp/PyevODKz8rgeqzPdrl7LIjE5m0Z1HU1l7GyV1Kpqz8Xwor/Q3/HCc+5oU3I4ekb70LNaW1sTUK0qZ85fMG3Ly8vjzLnz1C7i8gTFUbdWTaJjzP8AX4u5gZdnyReusba2pnq1apw9e84s49mz56lVs3S9RY0a1GfFF8v5avlnpltA9Wq0a/McXy3/rEQNPABrKytqebtw7GpsfkaDgeNXYqnvZ/kSCgXl5uVxKV6L+z0ahbGpGaRk6u5ZpigGvZ70sFDKNWmav1GhwLFxU9KDAi3uo9TYYDDkmW+8/Qe7YA9TXlYWOUmJWDmUw7FZC7SH/ilxRnL1ZEWEY1evkVlGu7oNyQq3PK9KqdGY/jjfYbiTkUfwRzBXjy7yEnZ17poPpFBgW7chWeH3niPq0KI1CpU1qYf+LrJMXmYGubdSsfbyRVOlGumnSnGpB72erMth2Nc3r0f7eo2KnJ+m0Gggr0A93pmbco8vEwql0jSnsMzk+48w6PWkh4TgdNeXdBQKHJs1Je3ChaJ3BAzZ2eTEx6OwssK1bduHfomEIh/3Ccxs0OtJCw7GucVdjRqFAucWzbl1/vx9M2XHxaNQqXBr356kveaZqkyfilu7tlwY/ia6mPs3SjUaDY6Ojma3ezXy2rZty9mzZwkPDyczM5M1a9Zgb29/38cpLqVSWej3a05O0SOK0tPTef7553F0dGT9+vWcOHGCzZs3A5BdYO72w1BwYTWFQlEob3HdaTxWrlwZgLS0NObMmcPZs2dNtwsXLhAeHo6NTf7UDEsZ7jRsO3fuzNWrV5kwYQLXr1+nffv2TJo0qUS5GjVqRIMGDVi7di2nTp0iKCjINI9RiIdJevJKadMfcfTr5kPMzSxuxmUzuKcvick5HDqpNZX55L0ADp1I5red8aZtCgU8/5wbuw4kmr5b383FSYWrszW+3sY/ApUr2JKZlUtcQja30ot3vbzXur3Mx0uWE1CtKjUDqvPrb9vJytLxfId2ACxYvAx3N1eGDeoPGH/BX402zrfS6/UkJCZyKSISWxsb/Hx9AOjR9WXGTnmX9Rt+pU2rpwkJu8SOv3YxYfRblkPcR4/uXVm4eCnVq1ejZkAAm37bSlZWFs93bG+su0VLcHNzZejgQaaMUVHGyeM5ej0JiUlcvhyBja0Nfr6+2NnZUdnffP6HjY0Njo7lCm0vrv7NajJzx1Fqe7tS18eVH06GkZmjp2u9KgC8v/0onuVsGfucsXGw4lAg9X3dqOBSjltZ2aw5HsKN1Ay6NzCWz8jOYcWhINoHlMfdwYbo5DQ+23eOCi7leLpy6YZqxm74kcrTZ5AREkJ6SBBer/VGaWtDwh/bAfB/dyY58fHEfPMVACmHD+L1eh8ywsNIvxiETfny+A4ZQcrhg6bGnmOzFqBQkBV1FZvy5Sn/1miyoq6S+Pv2UmVM3rEJ71GTyLocRtblUFy6dEepsSFln3H+gffbk9EnJZDwo3G4aNqpo7i8+Cq6K5fICg/B2tsP916DSDt1DG43UBUaG9TevqbHsPb0RlOpCrlpt9AnxhcOcb+Mf2zG682JZEWGk3U5DJcXuqLUaEjdb1xcyOutd9AnJ5L482qz/Zye60T6qSPkpd0qdEyH5q3IvZVCTkI8mor+eAx4k/STR8m4cKbE+QASt/6C79ipZF4OIzM8BLeXeqC0sUG75y8AfMdORZ+UQNz3qwBIO3EE11deIyvy0u3hkH549n2DWyeOmF5rz/5DSTt9nJz4OJS2djg92w67Og2I+mBamctXUlb2dthXq2j62a5yeRwb1CQ7KYWs6NJf4uZ+bvz4A1VnziItOJi0i0H49O6NlY0t8duNn7+qs2aTHR9H9JdfAuBQpw7WHh5khIWh9vSk/LDhoFRyfd060zGVtrbYlM8fiaHx9cWuenX0qalkx8byoB5F5gcVs249AXPnkBZ0kVuBQfj274uVrS2xW4yLaATM+wBdXBxXlxkvw+JQry4aT0/SQkLReHpSceSbKJQKrq1ebTpm1Xen4dG5MxfHTyA3PQNrN+MJv9y0NPJ0pVtAqyB7e3uqVSt87dlatWqh1+s5duyYqecoMTGR0NBQs940vV7PyZMnTb12oaGhaLVaatWqBRhXFA8MND8JePbs2SJXrQ4JCSExMZEFCxZQoYJxfu3JkyfNytyZInH3Aielzf+w5OXlsWzZMipXrkyjRsaTT40bNyY0NNRi/ZaEh4cHgwYNYtCgQbRu3ZrJkyfz6aefFip3r3oZNmwYS5cuJSYmhg4dOpjqVoiHSRp5pfTztpvYaJRMGOaPg50VgaFpTFsQRk5O/hknXy8NTuXMf3E2ruuIl4eGP4pYVfPlDp4MfC3/y+vS2caerU++iiz2Ii1tWz9DSkoKq9f/RHKylqpVKrNgzvumoZBx8QlmwwISk5J5c1z+magNm7eyYfNWGtStw+KPjGPhawZUY867U1i1dj3rftqIj5cno4a/QYc2zxYrU0Ftnm1NSkoKa7//geTkZKpUqcKHH8zG5fZ1leLi4wtkTGLk2PGmn3/ZtJlfNm2mfr26fLpgfqky3M/ztSqSnJHFVwcvkJieRQ1PZ754vY3psgg3U9NR3tXhcCsrmw/+PEFiehaONmpqebmwun8Hqrobr7WmVCgIj9OyLTCSW1k5eDjY0LKyN6Na10etKllP4x3Je/egcnbBd8gwrF3dyLgUTvjkCeiTjUMhNZ5e3H024fq61RgMBvyGvonaw4McbTIphw8Rs/JrUxkrBwf8hr+F2sMT/a1UtPv3EbPy6/xelhK6dWQ/Vo5OuL8+ECtnF3RXIrj20Xvk3l6MxdrNwyyjcd6dAfdeg1G5upGbmkLaqaMk/LTaVMamagAVZ+UvK+45yHiyIWXfTm5+VfKFd9KOHsCqnCNurw0wXgz9agQxH88kN9WYUeXmYWpg3mHt44dtzbrEfPSexWNaubji3n84Kidn9NpkUv/ZQ9LmH0uc7Y7UQ/uwcnTCo/dgVC4u6CIvE/XBNNOCMdYenmZDWeM3fo/BYMCz7xuoXN3JTdVy6+RRUyMLjMNmfcdNQ+XiSl5GOllXIoj6YBrp506VuXwl5dSkLi335Dc6an/6LgDRazdxfuj0R/a4ibt3o3J2ocKIEcYLi4eFETJ+nGlhE42X+WdaoVZT4a23sPH1IzczE+3hw1yaPYvctPxRJQ61alH7q/zPuP8E47D2+O3buTy3dPOdHnXmB5Xw106sXVyoOGqk8WLooaEEjhqdn8nb+64RAqBUq6n09ihsyvuRm5FB8sFDhL33Prm38jP59HodgPrfrjR7rLAZs4jbuu2hZbekevXqdO3aleHDh7NixQrKlSvHtGnT8PPzo2vX/MtCWFtbM2bMGJYtW4ZKpWL06NE89dRTpkZfu3btWLhwIWvXrqVly5Z8//33BAYGmhpCBVWsWBG1Ws3y5ct56623CAwMLHTtu0qVKqFQKNi+fTtdunTB1ta20CWMipu/tBITE7l58yYZGRkEBgaydOlSjh8/zo4dO0wjeWbOnMlLL71ExYoVee2111AqlZw7d47AwEDmzZtXrMeZOXMmTZo0oU6dOuh0OrZv325qQBd0r3rp27cvkyZN4ptvvmHt2rUP/PyFsERhKG0/eBkxYcIElixZYvq3oA59TlrY6/Ha/WP+8LxrYZaH5T1u5QPyl/C/ein0MSYpWqW7rruW8e2se5R8fOyG5E/YP/lcy8eYpGhN9+cPPwztZfnad49bjZ//Mt0P79flMSYpWvX1v5vuX+ze/jEmKVrtzfnXnHoSM96db4d1jXuUfHxezMn/fXi0RenmSD1qTx3Lv4zFfyHjwQaNH2OSorW6+5IixTB48GC0Wi1btmyx+P/JycmMGzeOrVu3kp2dzbPPPsvy5cupXr06YLwEwfjx4/n222+ZPHkyMTExtG7dmlWrVlGxYn6v9KxZs1ixYgVZWVkMGTKEnJwcLly4wL59+wDjpQ8aNmzI0qVLAfjxxx959913uXHjBo0bN2b69Om88sornDlzhoa3LzExd+5cvvzyS2JjYxk4cCCrV68udJzi5r/74uFbtmyhe/fuRQ7ZvHLlimk4Jhjn9FWqVIm2bdsyYcKEQr12f/31Fx988AFnzpzB2tqamjVrMmzYMIYPHw4Yh2Zu3rzZ7DITzs7OLF26lMGDBzNv3jx++OEHrly5gq2tLa1bt2bJkiVUrlzZlOV+9XLHwIED2bFjB9evXy/2aqtClIQ08qSR90hII+/hkEbewyGNvIdDGnkPThp5D0dZbOQ9KEuNJPHkat++PXXq1GHZsmWPO4ooo2S4phBCCCGEEP+C5ORk9u3bx759+/jy9jxVIR4FaeQJIYQQQgjxL2jUqBHJycl8/PHH1KjxZI44EGWDNPKEEEIIIf7jBg8eLEvx/wdcuXLlcUcQ/0/IdfKEEEIIIYQQogyRRp4QQgghhBBClCHSyBNCCCGEEEKIMkQaeUIIIYQQQghRhkgjTwghhBBCCCHKEGnkCSGEEEIIIUQZIo08IYQQQgghhChDpJEnhBBCCCGEEGWINPKEEEIIIYQQogyRRp4QQgghhBBClCEKg8FgeNwhHqcJEyawZMkS079CCCGEEEII8V8mPXlCCCGEEEIIUYZII08IIYQQQgghyhDV4w7wpGv18v7HHaGQg9ueM92/Hnr+MSYpmm+N+qb7MWEXHmOSovkF1DPdjx7V4zEmKVqFL3813T/fpc3jC3IP9X/fZ7of0rPT4wtyDzU37jTdP9X2mceYpGhN9h4y3T/UqMljTFK0Z86cMt3fXb7ePUo+Hh2u5f+uOdqi+WNMUrSnjh033d9hXeMxJinaizmhpvt/OtZ6jEmK9kJqsOn+73Y1H2OSonXJCHncEYQQ/49JT54QQgghhBBClCHSyBNCCCGEEEKIMkQaeUIIIYQQQghRhkgjTwghhBBCCCHKEGnkCSGEEEIIIUQZIo08IYQQQgghhChDpJEnhBBCCCGEEGWINPKEEEIIIYQQogyRRp4QQgghhBBClCHSyBNCCCGEEEKIMkQaeUIIIYQQQghRhkgjTwghhBBCCCHKEGnkCSGEEEIIIUQZonrcAR43GxsbJkyYQFxcXIn3HdrPn5c7eVPOXsWF4FQ+/TKcazcyiyy/cWULfLxsCm3ftCOGxV9fMv1cp4YjIwb4U7uGI3l5BsIj0pg46wLZ2XnFzrZ5x5/8vHkrSclaqlauxNgRQ6gVUN1i2cioaL5b/zNhlyOIjYvn7aGDea3ri2ZlcnNzWfPjRnbtO0CSVou7qyvPt2vDgF49UCgUxc51ty07/uDnTfkZx7w5tOiMV6NZvf4nU8ZRwwbzWteXzMr0GTqS2Lj4Qvt27fI840YOL1VGh2dfoFzHrlg5OpN97QraDavIvnrJYlmP8XOwCahbaHtm4CkSvpwPgOuA0di3bGv+/0FnSPhiXqnyAbi91A2PHr1RubiSFXmJmK+WkRkWUmR5966v4fbiK1h7eKFPTSHl4H5urv4GQ042AF79BuPVb7DZPlnRUYS9ObDUGZ2ffxm3V3pi5eyK7moEsd9+Qdal0CLLu3TpjvPzL2Ht7kluaiq3jv5D/A+rMOTkAODarTflWjyD2q8ChuxsMkMvEr9+JdnXr5U6o0e3V/Hq1RdrV1cyL18iatkSMkKCiyzv2eN1PF7pjtrLC32KluT9+4j55mtTPaJU4jtoKK4dO2Ht6kZOQgIJf/3OzXWrS53R+/We+A0aiNrNjfSwcCI+/oS0oCCLZRUqFeWHvIHHSy+h8fQg8+pVrny2DO3hI6YyfkPewK1dW+z8/cnV6bh17jxXP1tG5tWrpcpXflBvKr01GLWHO2nBoYTO+IjUs4FF5vMfPQyf115B4+1JRsQVLs1fQuK+Q2blNN6eVHt3Am5tW2Fla0PmlWiCJr7PrfMXS5XR67XX8O3XH2s3NzLCw4lc9CnpFy0fS2Flhe/gwXh0eRG1hweZUVFEfb6clKNHTWXKNWyEb//+2NesidrDg9DJk0k+sL9U2UrKtVVTqrwzFKfGdbHx9eRkj1HEbt3zrzx2xeF9qTx2CGovd24FhhA8+UNSTl2wWFahUlHlnRH49e2KxseL9PBIwmYtImH3QVMZKwc7qr8/Dq+XOqD2cCX1fDDBU+eTetry+6c4Kr3Zl8rjh6LxcufWhRCC3plHysmiM1adPAK/ft2w8fUiPSySkBmfkrDr7oz2BMwci/crHVB7uJF6LpiLkz8k5VTpMwohxKPy/76R99FHHwEwYcKEEu3Xr0cFXnvJjw+XhnAjNoth/fxZ/EE9+o86QXaOweI+wyeeRnlX32mVSvYsndeAvQfzGyZ1ajiyaE49vv8liqX/u4Q+10D1yg4Y8iwf05K//znEV6vWMGHUCGoFVOOXrTuYMutD1n71GS7OToXK63Q6fL09afNMS75YtdriMX/89Td++2Mn08a/TeWKFQi9dJmPl32Jvb0dPV7uUuxsd+z95xBfrVzD+LdHUCugOr9u3cHUmfNY8/WyIjP6eHvxXKuWfLnScsavFi8gLy+/IRx5NZrJMz7guVYtS5wPwLbJ0zj3GEzyjyvQXQmnXLuX8Bgzgxuzx5CXllqofOL/FoIq/yOltC+H97uLyDh9xKxcZtBpktZ9Yfr5TsOlNJyebYvP8FHEfL6YjJBg3Lu9RuW5CwkdMYDcFG2h8s5t2uP9xgiuLf2Y9ItBaPzKU2HiNMDAjW++NJXLuhJJxHvv5GfMzS11xnJPP4fnoDeJ/d8yMi+F4Priq1R4bz4R44aSm1o4o2Ortnj0G8rNrxaRGXoRa5/y+Lw9CTAQt2YFAHZ16qH9ayuZl8JQWFnh0fcNKrz/EREThmPQZZU4o0vb9pQfOYaoJQtJD76I52uvU/2TxQQN7INeWzijS/uO+I14iyuffER64AU0FSriP/U9wMC1L5cD4N2nPx5duxG5YB5ZkZHY1aiJ/9T3yE1PI37TLyXO6N6pI5XfmcjlD+dzKzAQ3759qfPl55zu9io5ycmFylccNRKPF7twee48MiKv4PJ0S2ou+pQLg4eQHmpsYDs1bszNnzdyKygIhcqKSqNHU/urLzjz6mvkZZWsHr1efp6AmZMJnj6X1DPnqTBsAI2+X8Hh514mJzGpUPmqU8bg/eqLBE+ZQ8alSFyfe5r6K5dysusAbgUZT1KonBxpunktyYdPcHbASLITk7GrXBF9SuHPX3G4dehApXHjifx4AWlBQXj37k2tz5Zx9vWe6C3UYYW3RuL+wgtEfDSfzCtXcH6qJTU+/oTA4cPICAsDwMrWhvTwcOK2baPGJ5+UKldpWdnbkXo+lOjVv9L0ly/uv8ND4v1qZ2rOn0rQ+NloT57Hf9RAmm76hn+adCE7ofBrXX3GOHx7vUzg2Jmkh0Xg3r4VjdYv52jHvtw6bzyRUnf5PBxqV+f8iKnobsbh2+tlmv32LQebv4TuRslPwvr06EzNBdMIGjsb7Ylz+I8eRPPfVrK/YWey4wtnDJg1Dr8+r3Dh7RmkhUbg0bEVTX76nCPt+pB6zpix3pdzKVe7OmeHTkV3Iw6/Pq/QfPt3HGjyIrrrJc/4pMvIyGDAgAHs2rWLW7dukZycjLOz80N9DIVCwebNm+nWrdtDPa4QQoZrllrPV/xYu+EqB48lcvlKOvOWhODmqqH1U+5F7qNNzSFJm397upkb165nciYwxVRm7LCq/LIthu9/iSYyKoPomEz+PhhPjr74jbyNv23nxU7t6dyhLf4VKzBx1AhsNGr+2P23xfI1q1fjrTcG0u7ZZ7C2trZYJigklGdaNKVlsyZ4e3ny3DMtadqwASFhlnu17ptxyza6PN+Bzh3a4V+xAhNGjUCj0fDHriIyBlTjrSEDafdsqyIzOjs54eriYrodOXEKXx9vGtStU6qM5dq9TNqh3aQf3Yv+5jWSf1xBXrYO+6fbWyyfl5FGXqrWdLOpWR9Dto7M04fNyhn0erNyhsz0UuUD8Ojek6Q/d5C860900VeJ+XwxBl0Wrp0sN7ztatUl/eIFtPv2kBN3k7QzJ9Hu34NdQC3zjLm56JOTTLfc1BSLxysO15d6kLLnD1L27ST7WhQ3//cZedk6nNo9b7G8bY3aZIYGkXpwLznxsWScP8WtQ3uxqVbDVObah++Rsm8X2deuorsawY0vPsXawwubKpZ7gu/Hq2cvEnZsI/HP38m6eoWoxQvJy9Lh1vkli+Ud6tQjLfACyXt2kR17k1snj5P89y7sa+bXo32dumgP/UPq0SNkx95Ee2AfqSePY1+zdqky+vbvT+ymzcRt3UZmRCSXP5xPblYWnt26Wizv+dKLXFv1LckHD6GLieHmxl9IPnQI3wH9TWUujh5D3LZtZEZEkBEWTvisWdj4+OBQu5bFY95LxREDifnxV25s2EJ6eAQh0z4gNysT397dLZb3efUlrixfSeLf/5AZdY2YdRtI/PsfKr45yFTGf9QQsq7f5OI7M0g9G0hWdAxJB46QebV0PbY+ffoS99sW4rdvJzMyksgFC8jLysLz5Zctlnfv3JmYNavRHj6M7vp1Yjf9SvKRw/j07Wcqoz1yhGsrviZ5/75SZXoQ8X8dIGzWUmJ/2/2vPq7/6EFEr9lIzPrNpIdeJmj8bHIzs/Ab8KrF8r69XyFi0f9I2HmAzCvXiF71E/E7D1B5zGAAlDYavLp2JGzmpyQfPklGRBSXPvqCjIgoKg7rU6qMlccOJvq7jVxbt4m0kMsEjplFbmYW5Qf2sFjer29XLi9cQfxfxoxR3/xE/F8HqDz2DVNG726dCHn/U5IPGTOGf/g5GRFRVBpeuowFDR48GIVCwYIFC8y2b9mypdQjZh7EmjVr+Oeffzh8+DA3btzAyanwCViA7OxsPvnkExo0aICdnR3u7u4888wzfPfdd+Tc5yTmjRs36Ny586OIL8T/e9LIKwVfLxvcXTWcOJt/5jc9I5eLYanUrelYrGOoVAo6tfVix+6bpm3OTtbUqelIcko2X33SkK1rW7L8owbUr128YwLk5OQQdimCJg3rm7YplUoaN6hPUEhYsY9TUJ2aNTh9PpDomOsAXIq8QuDFEJo3aVTiY5kyNjDP2KRhPS6GFj2Er6SPsXvvATp3aFu6P45WKtQVq6ILPZ+/zWBAF3IeTeWAYh3C/un2ZJw6hCFbZ7bdpnodfD/+Fu9Zy3DpPQKlvUPJ82EcXmRbrQZpZ0+ZZbx19hR2RTQkMoIDsatWA9uAmgCovX0o1/QpUk8cNSun8fOj1rpfqLHqBypMfg9rD89SZUSlwqZKddLPnzHLmHH+DLYBlhsSmaEXsalS3dSos/b0xr5Rc9JPHy/yYZR29gDkpt0qcUSFSoVdQA1ST50wy3jr9Ekc6hQefguQFnQBu4Aa2N1u1Kl9fHFs0ZKUY/n1mB4USLnGTdGUrwCAbdVqONStT+rxoxaPeb+MDrVqoj12Vx0YDKQcO065+vUs72NtTV52ttm2vCwdjo0aFvk4Kgfje7GkPWUKaxXl6tUm6Z+7npvBQNI/R3Fu3MDyPho1eTrzz0Zulg7nZvm/U9w7tuHW+YvU+3oRz57dR4s/N+Db1/KX9PtmVKmwr1mTlOPmr3PKiRM41CuiDtVq8nQW6rCB5ef0/4HC2hrHhnVI3HvXCAWDgcR9R3Bu3tDiPkqNmtws89c6LysLl6eaGI+pskKpUhVRpnHpMjaqQ+Leu06wGQwk/H0ElxZFZFQXzpibmYXL03cyqlCqVORZKtOySYkzFsXGxoaPP/6YZAs9y/+2y5cvU6tWLerWrYu3t7fFv6XZ2dk8//zzLFiwgBEjRnD48GGOHz/O22+/zfLlywkqYjh59u3fTd7e3mg0mkf6PIT4/0oaeaXg6qIGIFlrfoYqWZtt+r/7efYpdxzsVfy+J7+R5+dtnK83pI8/2/66wTuzLxB2OY2l8xpQ3se2WMdNSb1FXl5eoSGPLs5OJFkYdlZcfV/rRrvWTzNo1Hg6dO/NiPFT6PHKi3Rs07rExzJldCmY0Zmk5NJnvNuhoydIS0/n+fZt71/YAqVDORRWVoWGE+beSkHp6Hzf/dWVqqH2q0T6IfMz7JkXz5C4Zhnxn80mZcv3aKrXxv3t90FR8o+ilaMTCisr9MnmQ4/02mSsXV0t7qPdt4eb339L1YXLqbd1NzW//ZH0C2eJ37DeVCYj9CLRixcQOWMKMV8sQe3lQ9WFy1DaFu89eDdVOUdjxhTzLyz6lGRUzpYzph7cS8LPa6k0dzE1fvydql+sJePiORI3/2T5QRQKvAa/RUZIINnRV0qe0ckZhZWqUD3mJCcVWY/Je3Zx/buV1Fj2FY137afeDxtJO3uGm+vXmsrc/GEdyX/vps6aH2i8az+1/vcdcb9uIGn3zhJntHZxRqFSkZOUaLY9OzERtZvl0QPaI0fx698Pm4oVQKHAqUUL3Nq1Q+1exGgDhYLKkyaReuYsGZcvlyyfqwtKlYrs+AL5EhJRe7pZ3Cdp/2EqDh+IbeWKoFDg2rolnp3bo/H0MJWxrVgevwGvkxF5lTP93uLaug3U+GAaPq+9UqJ8ACrnO3VY4HVOSkLtajljytGj+PTti02F23XYvDmubdtiXVQd/j+gdnO2+Frr4hLReFmul4Q9B/EfPRi7qpVAocCt7dN4vdwRjbfxtc5NyyD52BmqTRlp3KZU4tPrZZybNzSVKVFGd+P7URdbMGNC0Rl3H6TymPyM7u2exrvr3RnTST56hmrTRqHx8TTOue39Mi4tSpexKB06dMDb29s0laQov/76K3Xq1EGj0eDv78+iRYtK/Fj3OkabNm1YtGgRBw4cQKFQ0KZNG4vHWLp0KQcOHGDPnj28/fbbNGzYkCpVqtC3b1+OHTtG9erVTccbPXo048ePx93dneefN47kUCgUbNmyBYArV66gUCjYsGEDrVu3xtbWlmbNmhEWFsaJEydo2rQpDg4OdO7cmfh48/n3K1eupFatWtjY2FCzZk2+/PJLhPj/7v/9nLzi6PicJ5Pfzu+9mfKB5YnbJfFiR2+OnUoiMSn/LPGds2S//XmD3/fEAhAekUaT+s682NGbFWsjH/hxS2vfwSPs3n+Q998Zh3/F8lyKvMIXK1fj5urCC+3bPLZcRfl91x6aN2mEu5vlL+mPmv3T7cmOuVpokZbMU/mLSuRcjyL72lV8536JJqAOutAHf1/dN1e9hni+3p/rXy4lI/Qiah8/fN8cg2efAcT9uA6AWyfv6i26EkFGaDC1Vv+EU+u2JO/8/ZFntKtdH7dXe3Pzm+VkXQrB2tsPrzdGou+RROKv6wuV9xo2Gk0Ff67OmPjIs93h0KARPv0GErV0EenBQdj4lafC6HF4DxhsWljFpU07XDt0InLebDKvRGJXrToV3h5HdmICSX/98cgzRixcSLUZM2i86VcwGMi6do24rVvx7Gq5gVRl+jTsqlXlwhtDH3k2gNCZC6j1yWye3rcVg8FA5tVorv/8G769u5nKKJRKUs8HcfnjZQDcCgrBvkY1/Aa8zo1ftj7yjFcWL6LKu+/R4OcNxjqMiSF++zY8X7I8vFNYFjxlPnWXf0DrkzuMr3VkNNfWb6Z8//zhnedHTKXeFx/SNuwAeXo9qecucuOXHTg2LN1w+5K6OPlD6n4xl+fO/o7BYCAjIppr6zaZDe88N3QK9b6eT/vLtzOevcj1DTtwalR0Rp1Oh65Aj7VGoymy98rKyor58+fTt29fxo4dS/ny5QuVOXXqFK+//jqzZ8+mV69eHD58mFGjRuHm5sbgwYOL9Xzvd4xNmzYxbdo0AgMD2bRpE2q15RPY69evp0OHDjRqVHhUj7W1tdn0ijVr1jBy5EgOHTpUqOzdZs2axdKlS6lYsSJDhgyhb9++lCtXjs8++ww7Oztef/11Zs6cyVdffWXKMHPmTD7//HMaNWrEmTNnGD58OPb29gwaNOiejyVEWSaNvAKmT59e6AzaweOJXAw7afpZbW3sdXFxtiYxOb+R5uKs5lJE2n0fw8tDQ9MGLrz3kfkwhjvHuhJtPkfr6rUMvDyKN5zBybEcSqWSZK35HKpkbQquDzBh+uvV6+jToxvtnn0GgCr+lYiNS+CHXzaXuJFnyphcMKMWV5fSZ7zjZlw8p89dYM70SaU+Rl7aLQy5uVgV6LWzKudEnoXFQu6mUGuwa/oMKdt/vu/j5CbGknsrBZWHd4kbebmpKRhyc1G5mDdkVc4uhXor7vAeMATt3ztJ+msHYFxgRWljS/kx7xD30/dgKDz3My89DV3MNTS+fiXKB6C/lWrM6ORintHJBb3Wckb33oNIObCHlL//BEAXdQWlxgbvN8eRuOkHs4xeQ9/GofFTRM16B31SQonzAehTtBhy9YXq0drFtch69B0ynMSdf5H4+zYAsiIjUNrYUOmdqdz8fg0YDJR/621u/vg9yXv3mMqovbzx6TugxI28nGQtBr0e6wI9Tmo3N7ITLT9vfbKWkInvoFCrsXZyIjs+nkpjx6CLiSlUtsrUKbi2bsWFocPJLsVKwzlJyeTp9ag9CuRzdyM7LrHIfc4PG4dSo8baxRndzTiqvTvBbL6dLi6e9HDzXsX08Ag8u3QocUa99k4dFnidXV3JTrKcUa/VEjZlMgq1GpWTEznx8VR8ezRZ16+X+PHLiuxErcXXWuPphi7W8nsxJzGZM33HGF9rV2d0N+IImPMOGVfyX+vMyGiOdxmIlZ0tqnIO6GLjafDdYrMyxc6YYHw/arwKZnQvMmN2QjKne402ZnRzRnc9jhpz3yEjMtpUJiMymmPPDzBmdHRAdzOehmsXk3El2uIxwbi425w5c8y2zZo1i9mzZxe5T/fu3WnYsCGzZs1i1apVhf5/8eLFtG/fnhkzZgAQEBDAxYsXWbhwYbEbefc7hqurK3Z2dqjVary9vYs8Tnh4eJG9fAVVr16dT4qxONGkSZNMPX3jxo2jT58+7Nmzh2eeMX7/GDp0KKtXrzaVnzVrFosWLeLVV40nDSpXrszFixdZsWKFNPLE/2syXLOALAsrymVm5hJzI8t0i4zKICFJR9MG+V9c7WytqB3gSGDI/eeyvNjBm+SUbI6cMP9icSM2i/hEHRX97My2V/C15Wac+ZnAolhbWxNQrQqnz+U3GPLy8jh9/gJ1ahZvLpklOp0OZYHx+EqlEoOFRkGxM54vkPHcBWrXqHGPPYvnz91/4+zkyFPNHmCeRK6e7KjLaGrcNVdHoUBToz66yHvPbbRt/DQKlTUZx++/jLqVsytK+3LkppR8/oVBryfzUigODe6as6JQ4NCwCRkhRSwJr9FgMBS4FEdermlfS5Q2tqh9fAsNFSwWvZ6siHDs6zU0y2hXryGZYZYvT6DU2ECeeUaDhYxeQ9/GofkzRM2ZTE7cTUrLoNeTERaKY+OmZhnLNW5CWpDlpdGVNhowFMyYZ5ZRqbHJ33ZHXl6R9Xy/jGnBITi1aGaW0al5M26dv/fJAUN2Ntnx8ShUKtzatydxn/n7ssrUKbi2a0vgm2+hK2XjxZCj59aFi7i2amGWz7XVU2hPn7vnvnm6bHQ341CoVHh26UD8zr2m/0s5eRa7Kv5m5e2r+JN17UbJM+r1pIeE4NTMvA4dmzUl7cL96zAnPh6FlRWubdv+a5dIeBIZcnJIPRuEW5un8jcqFLg99xTa42fvuW+eLhvdDeNr7dW1I3E7Cl/uITcjE11sPCpnR9zbP2OxTLEyngnCrc1dKysrFLi1fYrkY8XIeN2Y0btbJ2J3FF4MLDcjE91NY0aPDq2I3W55wTAwnjhOSUkxu02fPv2+z+Hjjz9mzZo1BAcX/j0ZHBxsavDc8cwzzxAeHk5uMVdCfhjHAEr0HaBJk+L9Ta5fP3++vpeXFwD17po36+XlZbrsVXp6OpcvX2bo0KE4ODiYbvPmzeNyCYedC1HWSE9eKW3cGsOgXhWJvp5pvIRCf38Sk3T8czT/LOHSefU5cCSBTTvyvzgpFNClgzd//h1LroXL3v2wKZqhff25FJlGeGQandt5U6m8He8vKP41oXp2fYkFS78goFpV0yUUsrJ0vHB7ftr8JcvxcHVl+CDjCnE5OTlcjTaeLdXr9SQkJXIpIhJbGxv8fH0AaNmsCd9v3ISnhzuVK1YgPCKSjb9to3OHdiWuO4Ce3V5mwZLPqVGtKjUDqvHrb7czdjBm/GjxMtzd3IrOmJhUKCMYG4t/7t5Lp3ZtsLKyKlW2O279vQ23gWPIvnqZ7KvhlGv7EkqNhvQjxj/oroPGkKtNIuU38yGEDk+3I/PccfLSzXt1FRobHLu8TuaZI+SmalF5eOPcfQD6+JtkBZ8tVcb4zRupMHE6meGhZIQF4971NZQaG5J3GXuKKrwznZzEBG6u/sb4nI4fwb17TzIvXyIj9CIaXz+8Bgwl9fhhU8PKZ+hIUo8dJjsuFms3N7z6vwF5eWj3le76W0nbf8Xn7clkXg4n61IILi++ilJjQ8rev4yPN3oy+qRE4n/4FoC0k0dxeelVsiIv3x6u6YtH70GknTpqyug1bAyOrdpy7ZNZ5GVlYuVsPOGSl5GOocBiI8URu/Fn/Ke9R3pYCBm3L6GgtLEh8U9jj6f/9PfJjk/g+sqvAUg5fAivnr3JCA8jPfgiGr/y+A4ZjvbIIVNG7ZFD+PQfRHZcrPESCtUD8OzZi8Q/dpSqHq9//z3VP5hD2sVg0m5fQsHK1pa434zDFqvPnUN2XDxXl38OgEPduqg9PUgPDUPj6UGFN99EoVQQs3qN6ZhVpk/Do/MLBE+YSG56BtZuxp6P3LS0Qoui3E/U/9ZSe8mHpJ4LIuXsBSoOG4CVrS03ft4CQJ2lH5J1M47LCz4DwLFRPTTenqQFhaLx9qTKxJGgUHL1q+/yj/nNWppuWYf/6GHEbv8Lx4b18OvXg+CpH5SqDm/8+ANVZ84iLTiYtItB+PTujZWNLfHbtwNQddZssuPjiL49n8ehTh2sPTzICAtD7elJ+WHDQank+rp1pmMqbW2xuWtIncbXF7vq1dGnppIdG1uqnMVlZW+HfbWKpp/tKpfHsUFNspNSyIoueUO4uK58voZ6X39EyplAUk5ewH+UsQcu5vvNANRbsQDd9VjC5iwBwKlpfWx8vEi9EIyNjxfVpr+NQqEk8rP8Xir39s+AQkF6eCR2VSpRY+4k0sMjTccsqchlq6n/zQJSTgeiPXmeyqMHobKz5dq6TQDU/2YBuutxhM5abMzYrD42vl6kngvGxteL6u+NRqFUErF4ZX7GDq1AAelhkdhXrUTN+ZNJC4vg2tpNRea419DMe3n22Wd5/vnnmT59erF75x6HgIAAQkKKvi7r3ezt7YtV7u4hnnemsRTcdudySWlpxr+z33zzDS1a3HWSCR74O4AQ/3XSyCul9b9GY2NjxZTRATjYq7hwMYV3Zl0wu0aen7ctzo7my/03beiCt6cNO3ZZ7nnYuDUGjVrJmGFVcSxnzaXINCbMPM/1m8W/ZlW71s+QkpLK6h9+Nl5ovIo/H89+zzQUMi4+waxXLjEpmeHjp5h+/nnzNn7evI0GdWuzdL5xmMnYEUP5dv1PfPb1SpJTUnB3deXlFzoysNdrxc51t7atn0Gbksp3638i+U7GOQUz5nc0JyYlM2LcZNPPGzZvZcPmrTSoW5slH+V/4Tt19jxx8Ql07li6xufdMk8dRuvghNNLvW9fDD2S+M/nkXfLOMzUysUdCly/UOXpi6ZabeKWzSl8wLw8rP0qYf9UG5S2duSmJJMVfI6UbT+CXl+qjCkH9qJydMZrwBvGi6FHXCJy5hT0WmPPoLWHl9k1FmN/XIfBYMB74FCs3dzRp2hJPX6Ym2vyv2xZu3tQceoMrBwd0aekkBF0gUsTRpX6Mgq3Du/HytEJj14DsXJ2QXclgugP3zNdx8/a3dNsCGbCr+sxGAx49BmEytWd3NQU0k4eJf7H/C//Ls8b50RVmmO+2MCNLxaSsm9XiTMm792DyskZ38HDbl8MPZzwqe+Yrp2m9jSvxxvrjEMyfYeOQO3ugV6bjPbIIa6v/J+pTPSyJfgOGU7FcZOwdnExXgx922/cWPtdoccvjoSdu1C5uFBx5FvGi6GHhhH09hjTkFKNt7dZRqVGTaW3R2Hj50duRibJhw4SPmMGuWn5Jx98Xu8JQL2V35g9VvjM2cRt21aifLHb/sLazZUqk95G4+HOrYshnBnwFtkJxh5gGz+fAvk0VJ08BtuK5cnNyCDx738IHPcu+tT8FVJTzwVxfth4qk0fT+Xxb5EVHUPo7E+4ubl0DeXE3btRObtQYcQI48XQw8IIGT8uvw69vMx6kRVqNRXeegsbXz9yMzPRHj7MpdmzzOrQoVYtan/1teln/9vXXI3fvp3Lc0vXGC0upyZ1abknv8FZ+9N3AYheu4nzQ+/fW1RaNzf9gdrdhervjkXj5U7qhWBO9hhhWozFtryPWT0qNRqqzxiLrX8FctMziN95gPMjpqJPyX+tVY7lCJg9ARtfb7KTU4jdupPwD5ZiKOXvxhu//oHaw5WAGWNQe3lw63wwx7sNNw0ftq3ga/b720qjIWDmOOwqVyA3LYO4v/ZzbljBjA7U+GAiNn7e5CRrubllF2Gzl5Q64/0sWLCAhg0bUqPACJdatWoVmtd26NAhAgICit2weRjHAOjbty/vvvsuZ86cKTQvLycnh+zs7GI37krDy8sLX19fIiIi6Nev3/13EOL/EYWhNOPtyqAJEyawZMkS0793tHr5yRuWc3Dbc6b71+9e4v8J4lsjf7hFTNijX1CkNPwC8od/RI8q3bLsj1qFL3813T/fpc3jC3IP9X/fZ7of0rPT4wtyDzU35q9oeartM/co+fg02Zv/hetQo4e3JPvD9MyZ/Mt17C5v+bIDj1OHa/m/a462aP4YkxTtqbsug7HD+sGHpz8KL+bkX8rmT8eSXzPx3/BCav4wxt/taj7GJEXrklG8Hq47Bg8ejFarNa02CTBw4EA2btxIVlaWaWjk6dOnadasmWnRlCNHjjBy5Ei+/PJLU69f+/bt6d69O6NHj7b4WMU5xvjx4zl79iz79u0rMrNOp6Njx44EBgYyd+5cWrVqRbly5Th58iQff/wxq1atomHDhrRp04aGDRuydOlSs/3vvhj6lStXqFy5MmfOnKFhw4YA7Nu3j7Zt25pdiH316tWMHz8e7e0Vw1euXMnYsWNZsGABL7zwAjqdjpMnT5KcnMzEif/eglxCPGlkTp4QQgghxBPogw8+MA1NvKNx48Zs2LCBn376ibp16zJz5kw++OADs2Gdly9fJiGh6MWoinOM4tBoNOzatYspU6awYsUKnnrqKZo1a8ayZcsYO3YsdetavtbowzRs2DBWrlzJd999R7169XjuuedYvXo1lStXfuSPLcSTTIZrCiGEEEI8ZnevGHmHv79/oUswAPTo0YMePYoegXLlypX7Pt79jlGw160oGo2GadOmMW3atCLLFNUbePdgMn9//0ILubRp06bQtsGDBxdqjPbt25e+ffsWK68Q/19IT54QQgghhBBClCHSyBNCCCGEEEKIMkQaeUIIIYQQQghRhkgjTwghhBBCCCHKEGnkCSGEEEIIIUQZIo08IYQQQgghhChDpJEnhBBCCCGEEGWINPKEEEIIIYQQogyRRp4QQgghhBBClCHSyBNCCCGEEEKIMkQaeUIIIYQQQghRhkgjTwghhBBCCCHKEGnkCSGEEEIIIUQZojAYDIbHHeJJMGHCBJYsWWL6VwghhBBCCCH+i6QnTwghhBBCCCHKEGnkCSGEEEIIIUQZonrcAZ50z3Y/+LgjFHJgcyvT/ZshZx5jkqJ512xkuh8TduExJimaX0A90/2keW8+xiRFc31/hen+sZYtHmOSorU4csx0/+RzLR9jkqI13X/EdP9Eq6ceY5KiNTt41HT/v1CPh5s2e4xJLHv65AnT/aMtmj/GJEV76thx0/0/HWs9xiRFeyE12HR/h3WNx5ikaC/mhJru/xcyCiHEv0168oQQQgghhBCiDJFGnhBCCCGEEEKUIdLIE0IIIYQQQogyRBp5QgghhBBCCFGGSCNPCCGEEEIIIcoQaeQJIYQQQgghRBkijTwhhBBCCCGEKEOkkSeEEEIIIYQQZYg08m6zsbFhwoQJxMXFPe4oQgghhBBCCFFqqscd4Enx0UcfATBhwoTHnEQIIYQQQgghSk968oQQQgghhBCiDJFGnhBCCCGEEEKUIdLIE0IIIYQQQogyRObkPYAhfSrycgdvHOytuBByi8UrLnHtRlaR5X9e0RQfT5tC2zf/cZ0l/4sotP2TGbV5qrEr7350kYPHk0qUbfOOv/hpyzaSklOo6l+RcSPeoFZANYtlI6Oi+faHjYRdjuBmXAKjhw6k5ytdzMpkZGSy6ocN/HP0BMkpKVSv7M+Y4YOpVb1qiXLdbcuOP/h501aSkrVUrVyJMW8OpVZAdcsZr0azev1PhF2OIDYunlHDBvNa15fMyvQZOpLYuPhC+3bt8jzjRg4vVUZNkzbYtOyI0sGJ3NhrpP/1E7nXrxRZXqGxxbZtN9Q1GqGwtSMvJYmMnRvIuRwIgO2zL2H77Mtm++Qm3CTl61mlymeJV4/X8OnXD2tXNzIuhXNl8SLSL160nNfKCt9Bg3Hv3AW1hweZUVFEf/k5KUePPrQ8AB7deuDdux/Wrq5kXL5E9GeLSQ+xnAnA87VeeHbtjtrLG32KluR9e7n2zVcYsrMBUNra4Td0BM6tn8XaxZWM8DCili8hIyS41Bk9X+2Bd5/+poxRSxaRHlx0Rq+evfDo/ioaLy/02hSS9v3NtRUFMg4fgcuzz2Ht4kJGWBhRny0h/QEyPun16N2zJ74D+qN2cyM9PJzIhQtJCyr6vef3xht4vvSi8b139SpXl3+O9sgRUxnHRo3wHTAAh1o1UXt4EPLOJJL27y9Vtnvxeu01fPv1x9rNjYzwcCIXfXrvz8zgwXh0edH0mYn6fPlD/cxUHN6XymOHoPZy51ZgCMGTPyTl1AXLeVQqqrwzAr++XdH4eJEeHknYrEUk7D5oKmPlYEf198fh9VIH1B6upJ4PJnjqfFJPBz60zEVxbdWUKu8MxalxXWx8PTnZYxSxW/c88scFqDSyL1UmDkXj7UHq+RCCxs8l5UTR9Vh16puUH9ANGz8v0sMiCZn+KfE7/zGVsXKwp8accXh17YDG043UsxcJmjiflJOWjymEEI+T9OSVUt/ufvR40ZdFKy7x5tRzZOly+XRmXdTWiiL3GTH5LN3eOGa6TZhl/MOw91BiobI9X/YFQ+my/f3PYb74dh2Der3GN4s/omrlSkya/RHJ2hSL5bN02fh6eTJiQF9cXZwtlvnk8xWcPHuB9ya8zXfLFtKsUX3emTmP+MSSNT7v2PvPIb5auYaBfXqyYuknVK3sz9SZ84rMqNPp8PH2YvigfkVm/GrxAn5Z+43ptnDuTACea9WyVBnVtZti1/E1Mv/ZQcrKD9HHXqNcn7Eo7MpZ3kFpRbl+41E6uZH26wpSvppF+o515N3SmhXTx8WQvGSy6Za65pNS5bPEtX0HKo4dx7VVqwgcPIiM8EvUXPIZKhcXi+XLv/kWnt26cWXxIs737U3c5k0ELPgYu4CAh5bJpW17Krw9lutrVnFx+GAyL4dT/dMlqJwtZ3Lt0InyI0Zyfc23BA7szZWP5+PSrj1+w98ylfGfMh3Hps2I/PADgt7oT+qJYwQsWoa1u0epMrq260CF0eO4/t1KgoYOIuNSOAGLlxadsWMnyr81iuvfreJCvz5ELvgQ1/YdKD9ipKlM5Wnv4tSsORFz5xA4sD8pJ44TsHR5qTM+6fXo1rEj/hPGc+2blZzrP4D0sHBqL1+OdRHvvYqjRuL1anciFi7kzOu9uPnrJmos/AT7GvnvPaWtLenhYUR8/PA+I4Vyd+hApXHjubZqJRcGDST9Uji1PltW5Gemwlsj8erWnSuLPuVc717EbdpEjY8/eWifGe9XO1Nz/lQuLfiCw617cOtCKE03fYPa3dVi+eozxlHhjde5OPlDDjZ/iehvf6bR+uWUq1/LVKbu8nm4tX2a8yOmcqhlVxL/PkSz375F4+P5UDLfi5W9HannQwkcO+eRP9bdfHp2ptbC6YTP+4KDzbtz63wILXasQu1huR5rfDCeSsN7ETR+Lvvrd+Hq/36iyS+f49gwvx7rr5iHe/unOTd4CgcavUz8rkO0+PM7NL4Ppx4HDx6MQqFAoVBgbW1N5cqVmTJlCllZRZ88FkKIokgjr5R6vuTHuo3RHDyeRMTVDD78LAw3VzWtWrgVuU9Kqp4kbY7p9nRTV67dyORskHnDppq/Pb1e8WPB5+Glyrbhtx281KkdXTq0wb9ied4ZOQwbjZrfd++zWL5W9aqMfKM/7Z99GrV14c5dnS6bA0eO89bgvjSoU4vyPt680acnfj7e/PbHrlJl3LhlG12e70DnDu3wr1iBCaNGoNFo+GPX3xbL1wyoxltDBtLu2VZYW1tbLOPs5ISri4vpduTEKXx9vGlQt06pMtq06IDuzEGyzx0mL+EGGb+vh5xsNA2ftlhe0/AZFLb2pG38Ev21y+SlJKKPCic37pp5wbw8DOmp+bfM9FLls8SnTx/itv5Gwo7tZF6JJPKTBeTpsvB46WWL5d1f6Mz1NWtIOXIY3fXrxG3ehPbwEXz69H1ombxe70PC9q0k/rGDrKtXuLroE/KydLh3eclieYc69UgLvEDS7p1k37xJ6snjJO3ZhX3N2gAo1Bpcnm3Dta+/IO38WXQx17i+ehW6mGt4dO1euoy9+xC/7TcSft9B1pUrXF34MXlZWbi/VETGuvVIu3CepF07yb55g9QTx0navQv72ndlfK4N0V9+Ttq52xm/XYku5hqe3V8tXcYnvB59+/UldssW4rZtIzMykoiPPiI3KwvPV16xWN6jSxdivluN9tBhdDExxP76K9rDh/Ht199URnv4MNFffU3Svn0lzlNcPn36EvfbFuK3byczMpLIBQvIy8rC8+UiPjOdOxOzZjXaw8bPTOymX0k+chifvv0eSh7/0YOIXrORmPWbSQ+9TND42eRmZuE3wPL7xrf3K0Qs+h8JOw+QeeUa0at+In7nASqPGQyA0kaDV9eOhM38lOTDJ8mIiOLSR1+QERFFxWF9Hkrme4n/6wBhs5YS+9vuR/5Yd6s8/g2iV23g2ppNpAVf5sKoWeRmZFFhcA+L5f36deXSx18T/+cBMiOvEbXiR+L+2E+VCUMAYz16v9qJkOkLSTp4kozLUYTP/ZyMy1ep9ObD+335wgsvcOPGDSIiIliyZAkrVqxg1qyHN9JDCPH/hzTySsHHS4Obq5qT57SmbekZuQSH36JuDcdiHUOlUtDxOU9+3xNrtl2jVjJzYg2WfnOZJG1OibPl5OgJuxxJkwb1TNuUSiVNGtQjKDSsxMcDyM3NJTcvD3WBxpVGreZCcEgpMuYQdimCJg3qm2dsWI+LoaGlymjpMXbvPUDnDm1RKIruXS2S0gorn4rkRN49bM1AzpUQVH5VLO5iHVAf/bUI7F7oi/P4hTiOmInNM52hwONbuXriPO5jnN6eh323ISgdLfcYlJRCpcK+Rk1STxy/K7KBlBMnKFe3nuV91GrysnVm2/J0WZRr0ODhZQqoQeqpE2aZUk+dwL5OXYv7pAVdwC6ghqkxovbxxempp0k5ZhzGp7CyQqFSkXd7yGF+bh3l6pU8tynjyQIZT57AoY7leksLvIBdjZrY1zJm1Pjeznjk8H0zOtR/gIxPaD0qVCocatYk5ViB997x45SrX8R7z9q68HsvS0e5hg/nvVccCpUK+5o1STluXq8pJ07gUO8enxldgTrL0uH4ED4zCmtrHBvWIXFv/pBVDAYS9x3BuXlDi/soNWpyswrWYxYuTzUxHlNlhVKlKqJM4wfO/CRSWFvj1LgOCXsO5280GEj4+zDOTzWyuI9SY01eVuHX1eVpYx0pVCqL9ZibqcP1mYdXjxqNBm9vbypUqEC3bt3o0KEDu3YZT6YmJibSp08f/Pz8sLOzo169evz4449m+7dp04bRo0czevRonJyccHd3Z8aMGRgM+UODdDodkyZNws/PD3t7e1q0aMG+R3giRQjxeEgjrxTcnNUAJKeY/0FI0mbj6my5l6mg1s3dcLBX8cff5hdfHzOkMoEhqSWeg3dHSmoquXl5uDg7mW13cXYiKVlbqmPa2dlSp0Z11m7YREJiErm5eezc9w9BoWEkJpX8mCmpt8jLy8PFpWBG51JnLOjQ0ROkpafzfPu2pdpfYeeAQmmFIf2W2fa8tFSUDk4W97Fy9kBdqzEKpYJbPy0n6+Dv2LTogE2rF01l9DGRpG1bza0fl5Hxxw8ondwpN2gyqDWlynk3lbMzCpWKnCTz905OUhLWbpaHKKUcO4p3775oylcAhQLHZs1xadMWazf3B84DoHK6nSnZPJM+OQlrV8u93km7d3L9u2+o8fnXNN7zD/V/+pVbZ09z8/s1AORlZpAWeAHfgW8YcyqVuHZ8Hoc6dbF2K7on/b4ZC9VbcpHHS9q1k5hV31DzyxU02XeQ+hs2cevMaW6suyvjhfP4Dh5iyujW6YUHz/iE1uOd9162xfee5WNpjx7Ft28/bCoY33tOLZrj2q4taveH894rjnt9ZtRF1GvK0aP49O2bn7t5c1zbtsX6IeRWuzmjVKnIjjcfwq+LS0TjZfn4CXsO4j96MHZVK4FCgVvbp/F6uSMab+OQ29y0DJKPnaHalJHGbUolPr1exrl5Q1OZskbt7oJSpUIXV6AeYxPReFuux/idB6k8bjB21Yz16N7+aby7dTQNac1NSyf5yGmqvzfKuE2pxK/vK7g81RCNd9HDNXU6HampqWY3nU5XZPm7BQYGcvjwYdRq43eOrKwsmjRpwo4dOwgMDGTEiBEMGDCA48ePm+23Zs0aVCoVx48f57PPPmPx4sWsXLnS9P+jR4/myJEj/PTTT5w/f56ePXvywgsvEB5eutFDQognkzTyCggOLrzgQMdnPfjzh5amm5WqFD1DBbzYwYtjp5NJTM5vKD7TzJXG9ZxZ/m3hRVget/cmvI3BAD2GjKLja/35dfuftG/9DArlg9fFo/D7rj00b9II9yIaN4+EQkFe+i3Sd3xP7s0osi+eJOvQH9g0ftZUJOdyEDnBp8mNiyEn4iJpPy1HobFDXbvpv5fzLleXLCYrOpoGP/1M8wMH8X9nEgk7toMh77HkASjXsBE+/QYRtWQhwcMHc+n9aTg99TQ+A98wlYn8cA4oFDTYtI0mu/bj1eN1kvbsMjtb/UgzNmqM74BBXF20kItDBhH+7lScnn4an0H5GSPmGucgNfxtO03/PoDnaz1J2r0L8v6ljE94PUZ+uojM6Cga/bKRlkcOU2XKFOK2bsOQ9/jee8VxZfEi42fm5w20OHgI/0mTid++DR5T7uAp88m4fIXWJ3fQKfE8tT99n2vrN5vV4/kRU0GhoG3YATolnKPSW/258cuOJ76u/00XJ35I+qWrtAn8g84ZgdT5bCbRazaZva5nB08BhYIOUf/QOf0C/qMHcP3nHfd87T/66COcnJzMbh999FGR5bdv346DgwM2NjbUq1ePuLg4Jk+eDICfnx+TJk2iYcOGVKlShTFjxvDCCy+wYcMGs2NUqFCBJUuWUKNGDfr168eYMWNYsmQJAFFRUXz33Xds3LiR1q1bU7VqVSZNmkSrVq347rvvHqQKhRBPGFlds4A8C7+sDx5P4mLYGdPP1tbGtrGLk5rE5Pwhla7Oai5F3n9+lZeHhib1nZnxiXmDsnE9J3y9bdjxvflCIXOn1OJ8cCrjZtx/BS8nR0eslMpCC5gka1OKXLCkOPx8vFk2fxaZWVlkZGTi5urC7E+W4uvlVeJjOTmWQ6lUkpxcMKP2gTLecTMuntPnLjBn+qRSH8OQkYYhLxeFvfkiK0oHR/LSLC8Ok5eWAnm5cNcX5NyEGyjLOYHSyvh/BR9Hl0leUixWLg9+Rl2v1WLQ67F2NW/YWru6klPEAjl6rZbwaVNQqNWonJzIiY+nwqi3yYq5/sB5APQptzO5mGdSubiSk1R4wSEA36EjSNz5Jwk7tgGQGXEZpY0NlSZN48a61WAwoLseQ+i4UShtbLCysycnKZEqs+aiux5T+oyF6s2FnETLGf2GjSDhrz9I2L7VlNHKxpZKU6ZxY+1dGcfczmhvT05iIlXnzHuwjE9oPd5576ktvvcs59NrtYROmoxCrcbayYns+HgqjRmN7iG994rjXp+Z7CLqVa/VEjZlstlnpuLbo8m6/uC5sxO15On1qD3MexE1nm7oYhMs7pOTmMyZvmNQatRYuzqjuxFHwJx3yLiSPxc4MzKa410GYmVni6qcA7rYeBp8t9isTFmSnZBMnl6PxrNAPXq5obtpuR6zE5I59drbxnp0c0Z3PY6a8yeRERFtKpMREc3R9gOM9ejogO5mPI3WLyEjMtriMQGmT5/OxIkTzXNoih650bZtW7766ivS09NZsmQJKpWKHj2M8whzc3OZP38+GzZsICYmhuzsbHQ6HXZ2dmbHeOqpp8ymKbRs2ZJFixaRm5vLhQsXyM3NJaDAQkE6nQ63UowyEEI8uaQnrxgys3KJuZllul2JziAxKZsm9Z1NZexsrahVvRyBoan3PV6Xdl5oU3I4ctL8i/f6Tdd4Y8IZhk7MvwF8/l0EC5YXbz6dtbWKgKqVOXU+f2nsvLw8Tp8PpE6NB1/9zdbGBjdXF26lpXHi7HmeadGkxMewtrYmoFoVTp/Pb7Tm5eVx+twFateo8cAZ/9z9N85OjjzVrOTZ8gPlknsjCuvKte7aqMDavyb6GMs9rfprl1G6eAD5f1yVrl7G1TUtNPAAsNagdPEosuFYEga9nvTQEBybNrsrsgKnps24FXjvEwSG7Gxy4uNRWFnh2rYtyf8ceOA8pkxhoZRrcldPpUKBY+OmpAdZXr5dqbHBULAn8c7JlwLzG/OysshJSsTKoRyOzVqgPfQPJXUno2MT83pzbNKMtCDL9aa0sTFrzAMY7rzGljImJmJVrhyOzVugPVjyun3S69Gg15MWEoJT8wLvvWbNuHX+/u+97DvvvXbtHsklEop8bL2e9JAQnJoVeO2bNSXtQgk/MwcePLchJ4fUs0G4tXnKLI/bc0+hPX72nvvm6bLR3YhDoVLh1bUjcTsKX6YgNyMTXWw8KmdH3Ns/Y7FMWWDIySHldBDu7e46YapQ4Na2JdqjZ4rekdv1eN1Yj97dOxG7rYh6vGmsR49OrbhpocwdGo0GR0dHs9u9Gnn29vZUq1aNBg0a8O2333Ls2DFWrVoFwMKFC/nss8+YOnUqe/fu5ezZszz//PNkF5hXey9paWlYWVlx6tQpzp49a7oFBwfz2WefFfs4Qognn/TkldLG7TEM7FmBazcyuRGbxdC+lUhMyubgsfyzv0vm1OWfo4ls+uOGaZtCAZ3befLnvlhyC3z/urPqZkGx8TpuxBVvDD/A611f5KPPvqJmtSrUrF6NX7b9TmaWjs4dngPgwyVf4OHmyoiBxpXVcnL0XIm+dvt+LgmJSYRHXMHW1obyPt4AHD99DgMGKvr5cu3GTb5evZ6Kfr50ad+m2Lnu1rPbyyxY8jk1qlWlZkA1fv1tB1lZOl7oYJxD99HiZbi7uTF8UL/buXK4ejujXq8nITGJSxGR2NrY4OfrYzpuXl4ef+7eS6d2bbCysipVtjuyju3G/pXB6G9cQR9zBZsW7cFaje6ccTK//SuDybulJXPvFgB0p/Zj07QNds/3IuvE31i5emL7TGeyTuSvGGrbvgc54efJS0lCWc7JeM28vDyyg05YilBiN378kaozZpIeEkxa0EW8e/dGaWND/PbtAFSZOYuc+Hiiv/rS+Bxq10Ht4UFGeBhqD0/8hg0DhZIb3697KHkAYjf8SOXpM8gICSE9JAiv13qjtLUh4Q9jJv93Z5ITH0/MN18BkHL4IF6v9yEjPIz0i0HYlC+P75ARpBw+aGqkODZrAQoFWVFXsSlfnvJvjSYr6iqJv28vXcaffqTyezNIDwkmPfgiXq/3MmbcsQOAyu8bM15bYcyoPXQQ7159yAgLJe1iEDZ+FfAbNoKUQ3dlbH5XRr8KVHjbmDFhRykzPuH1eH39D1SfPYu0i8GkBQXh07cPVra2xG0z9iRWmzOb7Lh4or74AgCHOnVQe3qSHhaG2sODCiNGoFAoiVm71nRMpa2tce7bbRo/X+wCAtCnpJAda75oVWnd+PEHqs6cRVpwMGkXg/Dp3RsrG1vTZ6bqrNlkx8cR/eWXptzWHh5khIWh9vSk/LDhoFRyfd3D+cxc+XwN9b7+iJQzgaScvID/KGMPXMz3mwGot2IBuuuxhM0xDr9zalofGx8vUi8EY+PjRbXpb6NQKIn8bJXpmO7tnwGFgvTwSOyqVKLG3Emkh0eajvkoWdnbYV+toulnu8rlcWxQk+ykFLKib9xjzwcTufQ7Gnz7MdpTgaScOI//2EGo7G2NQzCBBt99TFZMLKHvLwbAuXl9bHy9SDkXjI2vFwEzx6BQKrn8af5cNveOrVAoFKSFRWJftSI1P55CWmgE11ZveiTPQalU8u677zJx4kT69u3LoUOH6Nq1K/37G1egzcvLIywsjNq3V/W949ixY2Y/Hz16lOrVq2NlZUWjRo3Izc0lLi6O1q1bP5LcQogngzTySumHzTHY2FgxaWQ1HOxVXAhOZdLcQLJz8s/u+3rb4ORovhBL0/rOeHvasGPPw/mCYkm71k+jTU3l2x82kpSspVrlSiycNQ1XZ2cA4hISUN41ly4hKYlhE6aZfv5py3Z+2rKdhnVr8dmHxqWb0zIy+Gbdj8QnJFGunAPPtWzOsP69UalK9xZq2/oZtCmpfLf+J5KTtVSt4s/Hc94zDdeMi09AqcjvaE5MSmbEuMmmnzds3sqGzVtpULc2Sz76wLT91NnzxMUn0Llju1Llulv2xZMo7Bywfe4VlPaO5MZe49aPy0yLsSidXM16c/JSk7n1wzLsOvbEacRM8m5pyTrxN1mH/zSVUTq64NB9GApbewwZaeREXyJ99QIMGWkPnBcgac9urF2cKT9sxO0LO4cRMmE8+tsLdmi8vMzmjyg1aiq8+RYaX19yMzPRHjnM5TmzyU17OHkAkvfuQeXsgu+QYaYLtIdPnoA+OdmYydM80/V1qzEYDPgNfRO1hwc52mRSDh8iZuXXpjJWDg74DX8LtYcn+lupaPfvI2bl1xhyi+gxvY+kv3ejcnbGb9hwU8awdyaY6k3t5W02l+76mu/AYMBv+J2MWrSHDhLzP/OM5d8cacyYmkry/r3E/K/0GZ/0ekzctQtrF2cqvvUm1m5upIeFcXHMWNOiJhpv8zpUajRUHPkWNn5+5GZmknzoEOEzZ5q99xxq16LuihWmnyvfHvYWt207l+Y8nOuuJe7ejcrZhQojbn9mwsIIGT8uP3eBz4xCrabCW29h42vMrT18mEuzZz20z8zNTX+gdneh+rtj0Xi5k3ohmJM9RpgWY7Et71PgM6yh+oyx2PpXIDc9g/idBzg/Yir6lPxFo1SO5QiYPQEbX2+yk1OI3bqT8A+WYtDrH0rme3FqUpeWe/IbwLU/fReA6LWbOD90+iN73Bsb/0Dt4UrArLHGi6GfC+b4S8PIvr0Yi20FH7M5iUqNhoA547GrUoHctAzi/tzP2cFTzOrR2qkcNeZNxKa8NzlJWm5u3knojCWPtB579uzJ5MmT+eKLL6hevTq//PILhw8fxsXFhcWLFxMbG1uokRcVFcXEiRN58803OX36NMuXL2fRokUABAQE0K9fPwYOHMiiRYto1KgR8fHx7Nmzh/r16/Piiy9aiiGE+A9SGP6tlQr+Izp16sTOnTtNPz/b/eBjTGPZgc2tTPdvhtx76Mnj4l0zf5nqmLD7zyV8HPwC8pdIT5r35mNMUjTX9/O/4B5r2eIxJilaiyP5Z41PPle6C88/ak335y9Jf6LVU/co+fg0O3jUdP+/UI+H7x4W/IR4+q7LYBxt0fwxJinaU3ddZuJPx1r3KPn4vJCaP198h/WDD6F/FF7Myb/czn8hY3EMHjwYrVbLli1bzLYvWLCAxYsXc+bMGd5++2327NmDnZ0dI0aMICoqipSUFNM+bdq0oU6dOuTl5fHDDz9gZWXFyJEjmTdvnmmeXk5ODvPmzWPt2rXExMTg7u7OU089xZw5c6hXxKVDhBD/PdKTJ4QQQgjxmK1evdri9mnTpjFtmnG0TcEGoCXW1tYsXbqUr776qsj/nzNnDnMeUm+4EOLJJAuvCCGEEEIIIUQZIo08IYQQQgghhChDZLimEEIIIUQZsG/fvscdQQjxhJCePCGEEEIIIYQoQ6SRJ4QQQgghhBBliDTyhBBCCCGEEKIMkUaeEEIIIYQQQpQh0sgTQgghhBBCiDJEGnlCCCGEEEIIUYZII08IIYQQQgghyhBp5AkhhBBCCCFEGSKNPCGEEEIIIYQoQ6SRJ4QQQgghhBBliMJgMBged4gnSadOndi5c+fjjiGEEEIIIYQQpSI9eQV4eHg87ghCCCGEEEIIUWrSyCvA09PzcUcQQgghhBBCiFJTPe4AT7pWL+9/3BEKObjtOdP92OBTjzFJ0bxqNTHdvx56/jEmKZpvjfqm+/Hvv/EYkxTNY953pvsnn2v5GJMUren+I6b7Zzu1foxJitZw5z+m+4ebNnuMSYr29MkTpvun2j7zGJMUrcneQ6b7B+o2eoxJLHs28Izp/sEGjR9jkqK1OnfadP93u5qPMUnRumSEmO7vsK7xGJMU7cWcUNP9/0JGIYT4t0lPnhBCCCGEEEKUIdLIE0IIIYQQQogyRBp5QgghhBBCCFGGSCNPCCGEEEIIIcoQaeQJIYQQQgghRBkijTwhhBBCCCGEKEOkkSeEEEIIIYQQZYg08oQQQgghhBCiDJFGnhBCCCGEEEKUIdLIE0IIIYQQQogyRBp5QgghhBBCCFGGSCNPCCGEEEIIIcoQaeQJIYQQQgghRBmietwB/suG9vPn5U7elLNXcSE4lU+/DOfajcwiy29c2QIfL5tC2zftiGHx15dMP9ep4ciIAf7UruFIXp6B8Ig0Js66QHZ23gPl3fT7Tn7avJ0kbQpV/SsybvggagdUs1h2286/+WvvP0RERQNQo2plhvfvVWT50ti8409+3ryVpGQtVStXYuyIIdQKqG6xbGRUNN+t/5mwyxHExsXz9tDBvNb1RbMyubm5rPlxI7v2HSBJq8Xd1ZXn27VhQK8eKBSKUmW0adEOu1adUTo4ob8ZRdr29ehjIossr7Cxxb5DD9R1mqC0tSdXm0j67z+SHXb+dgEFdu26YdOwJUoHJ/Juack6fZCMfdtKlQ/Ao1sPvHv3w9rVlYzLl4j+bDHpIReLLO/5Wi88u3ZH7eWNPkVL8r69XPvmKwzZ2QAobe3wGzoC59bPYu3iSkZ4GFHLl5ARElzqjO4vd8ezZx9Urq5kRlwm5oulZIQWfTyP7j1xe6kbak8v9KlatP/s58aqFRhyjBlrr92A2tun0H7xWzcR8/mSUmX07tkT3wH9Ubu5kR4eTuTChaQFWa5HhZUVfm+8gedLL6L28CDz6lWuLv8c7ZEjpjJ+gwfj1rYttv6VyNPpSD1/nqvLPyfr6tVS5QPw6PYqXr36Yu3qSublS0Qtu/fr4tnjdTxe6Y7ay8v4Wu/fR8w3X5vqEaUS30FDce3YCWtXN3ISEkj463durltdqnw+vV+nwhuDULu7kRYaxuX5H3MrMMhiWYVKRYVhQ/Dq+hIaT08yrlwlcvFnJB86bLF8haFvUHnCWK6tW0/Ex5+WKh+AT6/X8Rs0ELW7G+lhYVxe8Alp98hYfugbeL5szJh55SqRS5ehPZyfsfyQN3Br3w7byv7k6XTcOnuOK0uXkfkAr3OlN/tSefxQNF7u3LoQQtA780g5eaHIjFUnj8CvXzdsfL1ID4skZManJOw6aCpj5WBPwMyxeL/SAbWHG6nngrk4+UNSTgWWPuPIvlSZOBSNtwep50MIGj+XlBP3yDj1TcoP6IaN3+2M0z8lfuc/ZhlrzBmHV9cOaDzdSD17kaCJ84t83g+Ta6umVHlnKE6N62Lj68nJHqOI3brnkT+uEEI8StKTV0r9elTgtZf8+PTLcEZMOkNmVi6LP6iH2rroxsTwiad5ZcBh0238++cA2Hsw3lSmTg1HFs2px4mzyYx45zTDJp5m047rGPIMD5R3z8EjfPHt9wzu/SorF39INf+KTJqzgGRtisXyZwIv0r7103w2932++ngOnu5uTJq9gPjEpAfKccff/xziq1VrGNS7J/9b8jFV/SsxZdaHRebR6XT4ensyYmA/XF2cLZb58dff+O2PnYx9cyhrvljKiEH9+Gnzb2za/kepMmrqNsehc2/S9/5G8pez0d+MxmnwOyjsy1newcoKp8GTUbq4k/rjFyQtnU7altXkpiabitg92wXb5m1J2/Y9SZ+9S9pfG7Ft3RnbpzqUKqNL2/ZUeHss19es4uLwwWReDqf6p0tQObtYLO/aoRPlR4zk+ppvCRzYmysfz8elXXv8hr9lKuM/ZTqOTZsR+eEHBL3Rn9QTxwhYtAxrd49SZXR+rh2+b47m5verCR01jMyIS1SZvwiVs7Pl8m074DP0TW5+/x0hw/oTvfhjXJ5rh8+QEaYyoWNGENirq+l2aep4AFIO7C1VRreOHfGfMJ5r36zkXP8BpIeFU3v5cqxdLNdjxVEj8Xq1OxELF3Lm9V7c/HUTNRZ+gn2NAFMZx8aNubFxI+ffGELQ26NRqlTU+Xw5SpvCJ3qKw6Vte8qPHMONNd8SPGIIGZcvUf2TxUXWo0v7jviNeIvra78laFBfrixcgEvb9vgNf9NUxrtPfzy6diNq2WKCBvXl2v++xLt3Pzxefa3E+Txe6ETVKe9w9asVnO7Zl/TQMOqu+BJrV8t16D9mFD49e3Bp/iec7NqDGxt+ofZni7CvWaNQWYe6tfHp2YO00LAS57qb+/OdqDxpIlEr/seZ3n1JDw2n7ldfFJmx0uhReL/Wg4gFn3Cq+2vc2PgLtZZ8apbRqWkTbvy8gfMDBhH05kgUKhV1vv4SpW3pXmefHp2puWAal+Z/waGnXyX1QijNf1uJ2sPVYvmAWeOoOLQXF9+Zx4HGLxK16iea/PQ5jg1qmcrU+3Iu7u2e5uzQqfzT7BUS9hyi+fbv0Ph6li5jz87UWjid8HlfcLB5d26dD6HFjlVFZqzxwXgqDe9F0Pi57K/fhav/+4kmv3yOY8P8jPVXzMO9/dOcGzyFA41eJn7XIVr8WfqMJWFlb0fq+VACx8555I/1qPn7+7N06dJ7llEoFGzZsuVfyfMwFOc5CSEKk0ZeKfV8xY+1G65y8Fgil6+kM29JCG6uGlo/5V7kPtrUHJK0+benm7lx7XomZwLzGzZjh1Xll20xfP9LNJFRGUTHZPL3wXhy9A/WyNvw2++81KktXdq3wb9Ced4ZORQbjYYde/ZbLD9z4mi6d+lI9Sr+VCrvx5S3R5BnMHDqfOnP/N5t42/bebFTezp3aIt/xQpMHDUCG42aP3b/bbF8zerVeOuNgbR79hmsra0tlgkKCeWZFk1p2awJ3l6ePPdMS5o2bEBI2CWL5e/H9plOZJ08gO70QXLjr5O2dS2GnGxsmrS2WN6mcWuUdvakrl+OPuoSedpEcq6Eknsz2lRGVaEaupAzZIedJ0+bSHbQSXIuBaEqX6VUGb1e70PC9q0k/rGDrKtXuLroE/KydLh3eclieYc69UgLvEDS7p1k37xJ6snjJO3ZhX3N2gAo1Bpcnm3Dta+/IO38WXQx17i+ehW6mGt4dO1eqowePXqR+Mc2knb+ji7qCtc++5Q8XRauz79osbx97bqkBwWi3bub7Nib3Dp1guS9u7Grkf+FMDdFiz45yXRzavE0uphrpJ0/W6qMvv36ErtlC3HbtpEZGUnERx+Rm5WF5yuvWH5OXboQ891qtIcOo4uJIfbXX9EePoxvv/6mMsFjxxK/fTuZERFkhIcTPnsOGh8fHGrVsnjM+/Hq2YuEHdtI/PN3sq5eIWrxQvKydLh1vvdrnbxnl7EeTx4n+e9d2NfMf3z7OnXRHvqH1KNHyI69ifbAPlJPHje9H0rCb2B/bvyyidgtW8mIiCD8gw/Jy8rCu3s3i+U9X36JqG9WkfzPQbKuxXDj540k/XOI8oMHmJVT2tpSc8F8wmbPRZ+aWuJcZhkH9OPmps3E/baVzIhILs37kNysLLy6dbVY3uPFF7m28luSDx5CFxPDzY2/kHzwEH4D8zMGjRpN3NZtZFyOID0snLCZs7Dx9cGhVsnrEKDy2MFEf7eRa+s2kRZymcAxs8jNzKL8wB6Wn1PfrlxeuIL4vw6QeeUaUd/8RPxfB6g89g0AlDYavLt1IuT9T0k+dJKMiCjCP/ycjIgoKg3vU7qM498getUGrq3ZRFrwZS6MmkVuRhYVBheRsV9XLn38NfF/HiAz8hpRK34k7o/9VJkwJD/jq50Imb6QpIMnybgcRfjcz8m4fJVKb/YtVcaSiP/rAGGzlhL72+5H/ljFceTIEaysrHjxRcu/I+/lxIkTjBgx4v4FH8CVK1dQKBScPXvWbPvgwYPp1q3bI31sIUTxSSOvFHy9bHB31XDibH4PTXpGLhfDUqlb07FYx1CpFHRq68WO3TdN25ydrKlT05HklGy++qQhW9e2ZPlHDahfu3jHLEpOjp6wy5E0rV/XtE2pVNKkQV2CQsOLdQxdtg59rh5HB4cHymLMk0PYpQiaNKxvlqdxg/oEhZT+TH2dmjU4fT6Q6JjrAFyKvELgxRCaN2lU8oNZWaHy9Sf78l3DuAwGci5fxLqC5SGr6pqNyIm6jMPL/XGbthSXMXOxe+5FuGuoqD76EuoqtbFy8zI+jHcFrCtVJzv8fIkjKlQq7ANqkHrqhFnG1FMnsK9T1+I+aUEXsAuoYfoSr/bxxempp0k5ZhxmqLCyQqFSkXd76OYdeTod5eo1KFVGu+oBpJ05ZZYx7cxJ7GvVsbhP+sVA7KoHmBp1am8fHJs/Rerxo0U+hkv7TiT+9XuJ893Z36FmTVKOHTfLmHL8OOXq17O8j7U1edk6s215WTrKNSy6jlS3PzulaagoVCrsLLzWt06fxOE+r7Xd7Uad2scXxxYtSTmWX4/pQYGUa9wUTfkKANhWrYZD3fpF1vW98pWrXQvt0WNm+bRHj1GuQX2L+yjV1qYhwnfk6bJwamT+ea3+/nSSDvxjfuxSUKhUONQqImP9ojMWep11OhwbNizycVQOxp5+farlUQn3zGhtjWOjOiTuvWvIqsFAwt9HcGlh+TGVajW5WeYZczOzcHm6ifGYKhVKlYo8S2VaNilVRqfGdUjYUzDjYZyfsvy7VqmxJi+rwGudpcPl6cZmGQs/Dx2uzzQuccb/ulWrVjFmzBgOHDjA9evXS7Svh4cHdnZ2jyiZEOK/RBp5peDqogYgWZtjtj1Zm236v/t59il3HOxV/L4nv5Hn520c3jOkjz/b/rrBO7MvEHY5jaXzGlDex7bUeVNu3SI3Lw8XZyfz5+HkRFKytljH+HrNj7i7uNCkgeUvlCXKk3qLPAt5XJydSNIWL48lfV/rRrvWTzNo1Hg6dO/NiPFT6PHKi3RsY7nn7V6UduVQWFmRl2b+hTwvLQWlg+VGt5WrB5o6TUGpJGXtEjL2bsP2mRewa5PfG5Rx4Hd0F47hMm4+7nO+wWXUbDIO70J3rmRfqgFUTs4oVCpyks2H0OqTk7B2dbO4T9LunVz/7htqfP41jff8Q/2ffuXW2dPc/H6N8fllZpAWeAHfgW9g7eYOSiWuHZ/HoU5drN0sH/NerBydUFgVzpiTnIyqiIzavbu5sXYV1RZ/QYPf91J77QbSzp0l7qd1Fss7Pd0aKwcHknaWrpGncjbWY3ZSgYxJSUU+Z+3Ro/j27YdNhQqgUODUojmu7dqidi+iJ1+hwP+diaSePUvG5cslz+jkjMJKhb5QPSZh7Wp5iFzynl1c/24lNZZ9ReNd+6n3w0bSzp7h5vq1pjI3f1hH8t+7qbPmBxrv2k+t/31H3K8bSNq9s0T5rF1cjHVYYDh3dmIianfLdZh86Ah+A/tjU7EiKBQ4t2yBe/t2qD3y69Cj8/M41KpJ5NLlJcpjOePtz0uBjDmJSUVnPHwE3wH9salofJ2dn2qBW7u2ZhnNKBRUmTKJlDNnyLhU8tdZ7e6CUqVCF5totl0Xl4DGy/JjJuw+SOUxg7GrWgkUCtzbPY13145ovI3Dq3PT0kk+eoZq00ah8fE0zsPs/TIuLRqaypQqY1yBjLGJaLwtZ4zfeZDK4wZjV+12xvZP492tozHPnYxHTlP9vfyMfn1fweWphmi8H/1wzSdJWloaP//8MyNHjuTFF19k9erVhcps27aNZs2aYWNjg7u7O92754+yKDi0MTw8nGeffRYbGxtq167Nrl277pvhzz//pFWrVjg7O+Pm5sZLL73E5bt+b1WuXBmARo0aoVAoaNOmDbNnz2bNmjX89ttvKBQKFAoF+/btA2Dq1KkEBARgZ2dHlSpVmDFjBjk55t+f7vWcClq5ciXOzs7s2SPzJoW4F1l4pRg6PufJ5Lfz59pM+eDBJ4K/2NGbY6eSSEzKP7t5Z3GQ3/68we97YgEIj0ijSX1nXuzozYq1RS/48Sh9/+tW9hw8wrJ5M9Coi9eIfRz2HTzC7v0Hef+dcfhXLM+lyCt8sXI1bq4uvNC+zaMPoFCQl55K2pbVYDCgv34VpaMztq07k7H3NwA0dZuhadCSWxtXoI+7jsqnAg5d+pJ3S4vuzKFHHrFcw0b49BtE1JKFpAdfRONXngpjxuMz8A1urP0OgMgP5+A/9T0abNqGQa8nIzyMpD27sKtR85HnA3Co3xCv3gO4tnwxGSEX0fj54TdyHF5Jg4hdv6ZQedcXXiL1xDH0SYkWjvZoRH66iKrvv0ejXzaCwUBWTAxxW7fh+crLFstXmToFu6pVCRw2/F/L6NCgET79BhK1dBHpwUHY+JWnwuhxeA8YbFpYxaVNO1w7dCJy3mwyr0RiV606Fd4eR3ZiAkl/lW4ua3FdXrCQ6rNn0GzbJjAYyIy+RuyWrXh1Nw6d1Hh7UXXaZC4MH1mox+/fEvHJQqrPnEGTLbczXrtG7G/b8OpmeRhv1XenYVe1KucHD/nXMl6c/CF1v5jLc2d/x2AwkBERzbV1m8yGd54bOoV6X8+n/eUD5On1pJ69yPUNO3BqZLk3/aFnnPgh9b6eR5vAP4wZL0cTvWaT2fDOs4OnUP+b+XSI+seY8cxFrv/872V8VHQ6HTqdeQ+lRqNBo9FYLL9hwwZq1qxJjRo16N+/P+PHj2f69Omm7wc7duyge/fuvPfee6xdu5bs7Gx+/93yCa68vDxeffVVvLy8OHbsGCkpKYwfP/6+mdPT05k4cSL169cnLS2NmTNn0r17d86ePYtSqeT48eM0b96c3bt3U6dOHdRqNWq1muDgYFJTU/nuO+PfEtfbJ6DKlSvH6tWr8fX15cKFCwwfPpxy5coxZcqUEj+nTz75hE8++YSdO3fSvHnz+z4XIf4/k0ZeATYWFkU4eDyRi2EnTT+rrY0doC7O1iQm53/5cHFWcyki7b6P4eWhoWkDF977yHxFtzvHuhKdbrb96rUMvDws/0EoDqdy5bBSKgstapKUklLkIiZ3/LhlOz/8upXFH7xLVf+Kpc5glsexHEoLeZK1KbgWsYhEcXy9eh19enSj3bPPAFDFvxKxcQn88MvmEjfy8jJuYcjNLdRrp3RwKtS7Z9rnlhbycsGQP38yN/4GVuWcwcoKcnOxf6EXGQd2oLtgHBqYG3sNK2d37J59scSNPH2KFoNej7WLeU+OysWVnCIaPL5DR5C4808SdhhX88yMuIzSxoZKk6ZxY91qMBjQXY8hdNwolDY2WNnZk5OUSJVZc9FdjylRPoDc1BQMuYUzWru4FNko8x40jOQ9O0n6czsAWVciUNrYUmHcZGJ/WGtWv9aeXpRr1ITID94vcbY79FpjPaoL9IhZu7qSk2g5o16rJXTSZBRqNdZOTmTHx1NpzGh0MYWHVlWeMhmXVq0JHDGC7Li40mVM0WLI1aMqVI+u5CRZXgzJd8hwEnf+ReLvxtc6KzLC+Fq/M9XYc2swUP6tt7n54/ck791jKqP28san74ASNfJykpONdehmnk/t5kZ2guU6zElO5uK4icY6dHYiOy6eyhPGknXN+D5zqF0LtZsbjTf8YNpHoVLh1KQxfn168U/jFpBX/BWHc5Jvf14KZLR2cy0yoz5ZS/CEd8wy+o8fS1ZM4c9ClelTcX22NeeHDCv165ydkEyeXo/Gy7xnUePpji42och9TvcajVKjxtrNGd31OGrMfU0w6/0AAJgTSURBVIeMyPy5wBmR0Rx7fgBWdraoHB3Q3Yyn4drFZFyJtnjMYmX0LJDRyw3dzaIznnrtbbOMNedPIiPirowR0Rxtb56x0folZs/jv+ijjz5izhzzBV1mzZrF7NmzLZZftWoV/fsb5/a+8MILpKSksH//ftq0aQPAhx9+SO/evc2O2aCB5WHiu3fvJiQkhL/++gtfX18A5s+fT+fOne+ZuUcP87mV3377LR4eHly8eJG6devi4WHsAXZzc8Pb29tUztbWFp1OZ7YN4P33838/+/v7M2nSJH766SdTI6+4z2nq1KmsW7eO/fv3U6fOf7vxL8S/QYZrFvDRRx8V2paZmUvMjSzTLTIqg4QkHU0b5K/IZmdrRe0ARwJD7j/f5sUO3iSnZHPkhPkXixuxWcQn6qjoZz6evoKvLTfjzM8EloS1tYqAqpU5dT6/UZmXl8fp80HUqWH5kgUAP2zaxtoNm1k4ayo1q5VuYRDLeawJqFaF0+fye0SNeS5Qp2bAPfa8N51Oh7LApRKUSiUGQykWrcnNRX/9Cuoqdy2eoFBgXaUWOdGWF3LRR13CytXLbA6elbu3cXXN3FzjIazVZo0UAENentk+xWXQ60kPC6Vck6ZmGR0bNyU9yPICOUqNDQZDgS/Gd74oF8iQl5VFTlIiVg7lcGzWAu2hfyipOz2BDg3vmvujUODQsAnpwZaXrVfa2Bjr5O7j3K6/ghndnu+CXqsl9dgRSsug15MWEoJT82ZmGZ2aNePW+Xv32huys8mOj0dhZYVru3Yk7TdfyKjylMm4tmlD0MiR6Eo4t6ZgxoywUBwbm7/W5Ro3Ia2o19pGAwVea0OB11qpKVzXlOL9aNDruXUxGOcWLczyObdozq1z955vasjOJjsuHoVKhXvH9iTu3QeA9uhxTnZ7jVOv9TbdbgUGEbfjd0691rtEDbw7GdOCg3FucdfZ/zsZzxc/o1v79iTtNX+dq0yfilu7tlwY/qbFhn6xM+bkkHomCLc2Lc0yurV9iuRjZ++5b54uG931OBQqFd7dOhG7o/AiVrkZmehuxqNydsSjQytit1te6Op+GVNOB+HermDGlmiPnil+xu6diN1WeLidWcZOrbhpocx/yfTp00lJSTG7TZ8+3WLZ0NBQjh8/Tp8+xgVxVCoVvXr1YtWqVaYyZ8+epX379sV67ODgYCpUqGBq4AG0bNnyHnsYhYeH06dPH6pUqYKjoyP+/v4AREVFFetxC/r555955pln8Pb2xsHBgffff9/sWMV5TosWLeKbb77h4MGD0sATopikJ6+UNm6NYVCvikRfz+RGbBbD+vuTmKTjn6P5ZzKXzqvPgSMJbNqR/0dfoYAuHbz58+9Yci18R/lhUzRD+/pzKTKN8Mg0OrfzplJ5O95fUPR1z4rj9a5d+Oizr6lRrQq1qldl47Y/yMzKokv75wD4cOmXuLu58uaA3gCs37SVb3/4hRkTR+Pt6UHi7bl7tjY22JVyafC79ez6EguWfkFAtarUCqjGL1t3kJWl44X2bQGYv2Q5Hq6uDB/UDzAu1nI1+hoAer2ehKRELkVEYmtjg5+v8XppLZs14fuNm/D0cKdyxQqER0Sy8bdtdO7QrlQZMw/tpFyPYeRcv4L+WgS2T3dCodaQdcp4/alyPYaRl6olfdcvxvLH92LToj0OXfqSeXQ3Vm5e2D33IplH8ldsyw45i91zL5GnTUQfF4PKpxJ2zzxP1qmSN6AAYjf8SOXpM8gICSE9JAiv13qjtLUh4Q9jL5j/uzPJiY8n5puvAEg5fBCv1/uQER5G+sUgbMqXx3fICFIOHzR9aXZs1gIUCrKirmJTvjzl3xpNVtRVEn/fXqqM8b/+TMXJ75IRHkJGSDAer/ZEaWNL0u2FUipOfo+cxARufLsCgNSjh/B4tReZl8PJCLmI2tcPn0HDSDl6yPyLvUKBa6cuJO36w9iD+gCur/+B6rNnkXYxmLSgIHz69sHK1pa4bcZesGpzZpMdF0/UF18A4FCnDmpPT9LDwlB7eFBhxAgUCiUxa/Pnu1WZOhX3F54n5J1J5GZkmOb35aalkacr+Umb2I0/4z/tPdLDQsgIvojna6+jtLEh8c8dAPhPf5/s+ASur/wagJTDh/Dq2dv4Wt8emus7ZDjaI/n1qD1yCJ/+g8iOiyUrMhK76gF49uxF4h87SpwvZu331PjwA9KCLpIaGEj5/n1R2tpyc4txqHKN+XPRxcVx5fb8unL16qL28iQ9JBS1pyeVRr0JCiXR36421lNGRqF5bbmZmeRoU0o13w0gZt16AubOIS3oIrcCg/Dt3xcrW1tit2wFIGDeB+ji4ri67HMAHOrVRePpSVpIKBpPTyqOfBOFUsG1u+ZJVX13Gh6dO3Nx/ARy0x/8dY5ctpr63ywg5XQg2pPnqTx6ECo7W66t2wRA/W8WoLseR+isxQA4NauPja8XqeeCsfH1ovp7o1EolUQsXmk6pnuHVqCA9LBI7KtWoub8yaSFRXBt7aZS1WPk0u9o8O3HaE8FknLiPP5jB6GytyV6jfF4Db77mKyYWELfN2Z0bm7MmHI7Y8DMMSiUSi5/elfGjq1QKBSkhUViX7UiNT+eQlpoBNdWly5jSVjZ22FfLX+kil3l8jg2qEl2UgpZ0Tce6Nj3GppZ0KpVq9Dr9WaNMoPBgEaj4fPPP8fJyQlb29LPzy+ul19+mUqVKvHNN9/g6+tLXl4edevWJbsUw6aPHDlCv379mDNnDs8//zxOTk789NNPLFq0yFSmOM+pdevW7Nixgw0bNjBt2rQS5xDi/yNp5JXS+l+jsbGxYsroABzsVVy4mMI7sy6QnZPfS+PnbYuzo/ly/00buuDtacOOXTcLHhIwNh41aiVjhlXFsZw1lyLTmDDzPNdvZj1Q3vatWqJNSeXbH38hKVlLtcqV+HTWNFxvL34SG5+IQpHfsfvbH7vJ0euZ+clSs+MM7vUqQ/qU/BpaBbVr/QwpKams/uFn48XQq/jz8ez3TMNH4+ITzHrlEpOSGT5+iunnnzdv4+fN22hQtzZL5xuHeIwdMZRv1//EZ1+vJDklBXdXV15+oSMDe5Uury7wOAr7cti372a8GPqNKFLWLMaQbuytVTq7mfXK5aUkkbJmEQ5d+uAyei55t5LJPLKLjAP5cwvStq/HrkN3HF4ZgNLekbxbWjJP7DPN2Sup5L17UDm74DtkGNaubmRcCid88gT0ycaVXzWeXmYNo+vrVmMwGPAb+iZqDw9ytMmkHD5EzO2GAYCVgwN+w99C7eGJ/lYq2v37iFn5dX5vWglp9/+NyskZn4FDUbm4khlxiYj3JqHXGjOqPb3M6vHm+rUYDAZ8Bg3D2t0DfYqWlKOHuPndN2bHLde4KWovb1Nj8UEk7tqFtYszFd96E2s340WyL44ZaxoKqfH2hruuVanUaKg48i1s/PzIzcwk+dAhwmfOJDctf7i2d0/j+67u/1aYPVb47DnEby95gzl57x5UTs74Dh52+2Lo4YRPfcf0Wqs9vcyup3ljnXFIpu/QEajdPdBrk9EeOcT1lf8zlYletgTfIcOpOG4S1i4uxouhb/vNND+zJOL/3Im1iwuVRo80Xgw9JJTAt942LXSi8fE26zVUajT4j3kb2/J+5GZkkPTPIUKnzyD31v2HvJdWwl/GjBVHGTOmh4YSOGq02etsllGtptLbo7C5nTH54CHC3nvfLKNPr9cBqP/tSrPHCpsxi7it20qc8cavf6D2cCVgxhjUXh7cOh/M8W7Dyb690IltBV+z96KVRkPAzHHYVa5AbloGcX/t59ywqehTbpnKqBwdqPHBRGz8vMlJ1nJzyy7CZi/BoNeXOB/AjY23M84aa7wY+rlgjr807K6MPoVe64A547Grcjvjn/s5O3iKWUZrp3LUmDcRm/Le5CRpubl5J6EzSp+xJJya1KXlnvyFnWp/+i4A0Ws3cX6o5V63h02v17N27VoWLVpEp06dzP6vW7du/Pjjj7z11lvUr1+fPXv28MYbb9z3mLVq1SI6OpobN27g42M8GXr06L0X+UpMTCQ0NJRvvvmG1q2Ni5YdPHjQrIz69tz83AJ/E9RqdaFthw8fplKlSrz33numbVevXjUrU5zn1Lx5c0aPHs0LL7yASqVi0qRJ93weQghQGEo1lu3/j1YvW76O3ON0cNtzpvuxwafuUfLx8aqVPzzvemjJLw/wb/Ctkb9sevz79/+D+Th4zMv/sn3yufsPs3kcmu7PHyp5tlPJVzL9NzTcmd9Terhps3uUfHyePpl/eYRTbZ95jEmK1mRv/rzRA3VLcWmSR+zZwPzhggcbPJlL77c6d9p0/3e7f2cxo5LqkhFiur/DuvDF6Z8EL+aEmu7/FzLez5YtW+jVqxdxcXE4OZmvPD116lT+/vtvTpw4wb59+2jfvj3vv/8+vXv3Rq/X8/vvvzN16lTAOOdt/PjxjB8/nry8POrVq4efnx8LFy4kNTWVCRMmcOrUKTZv3mzxmnZ5eXl4enrSuXNnZs2aRVRUFNOmTePEiROmffR6PY6Ojrz33nsMGzYMGxsbnJycmD9/PitWrGDnzp24ubnh5OTEH3/8QY8ePVi3bh3NmjVjx44dzJkzh9zcXLS3V9MuyXM6ePAgnTt3Zu7cucVaREaI/89kTp4QQgghxGO0atUqOnToUKiBB8aFUE6ePMn58+dp06YNGzduZOvWrTRs2JB27dpx/PhxC0c0zknfvHkzmZmZNG/enGHDhvHhhx/eM4dSqeSnn37i1KlT1K1blwkTJrBw4UKzMiqVimXLlrFixQp8fX3p2tW4Iu7w4cOpUaMGTZs2xcPDg0OHDvHKK68wYcIERo8eTcOGDTl8+DAzZswwO15JnlOrVq3YsWMH77//PsuXP/ilVYQoy6Qn7z6kJ690pCfv4ZCevIdDevIeDunJe3DSk/dwlLWePCGEeNikJ08IIYQQQgghyhBp5AkhhBBCCCFEGSKNPCGEEEIIIYQoQ6SRJ4QQQgghhBBliDTyhBBCCCGEEKIMkUaeEEIIIYQQQpQh0sgTQgghhBBCiDJEGnlCCCGEEEIIUYZII08IIYQQQgghyhBp5AkhhBBCCCFEGSKNPCGEEEIIIYQoQ6SRJ4QQQgghhBBliDTyhBBCCCGEEKIMURgMBsPjDiGEEEIIIYQQ4uGQnrx/gU6nY/bs2eh0uscdpUiS8eGQjA/uSc8HkvFhkYwPh2R8cE96PiGEKCnpyfsXpKam4uTkREpKCo6Ojo87jkWS8eGQjA/uSc8HkvFhkYwPh2R8cE96PiGEKCnpyRNCCCGEEEKIMkQaeUIIIYQQQghRhkgjTwghhBBCCCHKEGnk/Qs0Gg2zZs1Co9E87ihFkowPh2R8cE96PpCMD4tkfDgk44N70vMJIURJycIrQgghhBBCCFGGSE+eEEIIIYQQQpQh0sgTQgghhBBCiDJEGnlCCCGEEEKI/2vvzsNqTP8/gL9PaV8UiUSboqLINrZIGHtoxgwiihnDKBLKXiE0yv4VIypjbFmzjyRKtBFpUyKyRUIlqZ7fH/06HKcwg+7nOJ/XdXVN536e65r3dTrlfM5935+bfEOoyCOEEEIIIYSQbwgVeVLszZs3uHv3LjIyMlBQUMA6zge9fv2adQTylYSGhtb48y0rK0NoaCiDRESajR8/HufPn2cdg3xlkZGRtV7buHFjHSYhhJCvg7prfiXFxcVQUVFhHUPMy5cv8ddff2H37t2Ii4tDWVkZOI6DQCBAs2bN8P333+PXX39Fp06dmOY8ceIEdu/ejQsXLuDu3buorKyEiooKrKys8P3338PJyQlNmzZlmrFaYWEh4uLi8PjxY1RWVopcc3R0ZJJp3bp1n3yvq6vrV0zycbKysnjw4AG0tbVFxp8+fQptbW1UVFQwSiYqIiICERERNf6ct23bxiiVKEnI+OLFixrHBQIBFBQUIC8vX8eJRA0fPhzHjx+Hvr4+nJycMH78eOjq6jLNVJMdO3YgMDAQOTk5iI2Nhb6+PtasWQNDQ0MMGzaMdTze09TUxJkzZ9ChQweR8bVr12LhwoW1vk4JIURSUJH3laiqquKnn36Cs7MzevTowToOACAgIADLli1DixYtMHToUHTu3BlNmzaFkpISCgoKkJKSggsXLuDQoUP47rvvsH79epiYmNRpxoMHD8LDwwMvX77EoEGDas0YGxuLCRMmYMmSJWjUqFGdZnxXeHg4HBwcUFRUBHV1dQgEAuE1gUDAbIbU0NDwk+4TCAS4devWV07zYTIyMnj06JHYzzE5ORm9e/fmxSyzt7c3fHx80LFjR+jo6Ij8nIGq1y1rkpARqPp5v5/tXc2aNcOECROwePFiyMiwWWySn5+PHTt2ICQkBKmpqejbty8mTpyIYcOGQU5Ojkmmd23atAmLFi3CjBkzsGzZMqSkpMDIyAjBwcEICQn54CxVXcvOzsb27duRnZ2NtWvXQltbGydOnICenh5at27NLNfWrVsxb948nD9/HqampgAAf39/+Pj44OjRo7C2tmaWjRBCvgiOfBUHDx7khg0bxsnJyXEmJibc8uXLuby8PKaZRo0axaWkpHz0vtLSUm7Tpk1cUFBQHaQS1aVLF+7o0aNcRUXFB++7d+8e5+HhwQUEBNRRspqZmJhw06dP54qLi5nmkETt2rXjrKysOBkZGc7CwoKzsrISfllaWnJqamrcyJEjWcfkOI7jmjRpwoWGhrKO8UGSkJHjOC4kJIRr1qwZt2DBAu7IkSPckSNHuAULFnDNmzfnNm/ezC1dupTT0NDgli1bxjoqx3Ecl5iYyE2bNo1TVFTktLS0uBkzZnCZmZlMM5mZmXEHDx7kOI7jVFVVuezsbI7jOO769etcw4YNGSYTde7cOU5JSYnr27cvJy8vL8y5fPly7ocffmCcjuNWrlzJ6erqcjk5OdyKFSs4dXV1Ljo6mnUsQgj5Imgm7yur/kQ4ODgYaWlp6N+/P5ydnWFnZ4d69eqxjkc+k4qKCq5fvw4jIyPWUSSOt7e38L/u7u5QVVUVXpOXl4eBgQF++OEH5sv3AKBhw4aIi4tDixYtWEeplSRkBIA+ffpg8uTJ+Omnn0TG9+7di82bNyMiIgI7duzAsmXLkJ6ezihllQcPHiA0NBTbt2/HvXv38MMPPyAvLw9RUVHw8/ODm5sbk1xKSkpIT0+Hvr4+1NTUkJycDCMjI9y8eROWlpZ49eoVk1zv69q1K0aOHImZM2eK5IyLi4O9vT3u3bvHOiI8PDwQFBSEiooKnDhxAl26dGEdiRBCvggq8urQ+vXrMXv2bJSVlUFLSwu//fYbPD09oayszDoa+Y/s7e0xatQosTesfHPv3j0cOXIEubm5KCsrE7kWEBDAKFWVkJAQ/Pzzz1BUVGSa40M8PDygqqqKhQsXso5SK0nICFQVKNeuXRNbCn7z5k20bdsWJSUlyMnJQevWrVFSUlLn+d68eYMjR45g+/btOH36NCwtLTFp0iSMGTMG6urqAKqWvjo7O+PZs2d1ng8AzM3NsXz5cgwbNkykeFq/fj22b9+OpKQkJrnep6qqiuvXr8PQ0FAk5+3bt2FqaorS0tI6zVPbXuVVq1ahZ8+e6Ny5s3CM9V5lQgj5XDSV9JU9evQIISEhCA4Oxp07d/Djjz9i4sSJuHfvHlauXIlLly7h9OnTdZ6rtLQU69evR2RkZI1NGvjwJoHjOISFhdWa8cCBA4ySvTV48GDMnj0bqampsLCwENuvY2dnxyjZWxEREbCzs4ORkRHS09PRpk0b3L59GxzHoX379qzjYfz48QCqumnW9HPW09NjEUtEaWkptmzZgjNnzsDS0lLs58y6UAYkIyMANG/eHEFBQVixYoXIeFBQEJo3bw6gqumOpqYmi3jQ0dFBZWUlRo8ejbi4OLRr107snt69e0NDQ6POs1WbOXMmfv/9d5SWloLjOMTFxWHXrl1Yvnw5tm7dyizX+zQ0NPDgwQOxPcJXrlxh0sxm9erVNY7LysoiJiYGMTExAKr2KlORRwiRdDST95UcOHAA27dvx6lTp2Bubo5JkyZh7NixIm8MsrOzYWZmJjazUhccHBxw+vRp/Pjjj2jcuLFYI4TFixfXeab3TZ8+HZs3b0bv3r1rzLh9+3ZGyd76UGMIgUDAi86QnTt3xsCBA+Ht7S38NF1bWxsODg4YMGAApkyZwjTfzZs34ezsjIsXL4qMc//f9ZUPz2Hv3r1rvSYQCHD27Nk6TFMzScgIAEeOHMHIkSNhamoq7OKbkJCA9PR0hIWFYciQIdi0aRNu3rzJpDDdsWMHRo4cyeuZZQDYuXMnvLy8kJ2dDQBo2rQpvL29MXHiRMbJ3po1axYuX76Mffv2oWXLlkhKSsKjR4/g6OgIR0dHXvw7Qwgh3yoq8r6S+vXrY9SoUZg0aVKtxxG8evUKfn5+TP6hq1+/Po4fP47u3bvX+f/7UzVo0AB//fUXBg0axDqKRFNTU8PVq1fRokULaGpqIjo6Gq1bt0ZycjKGDRuG27dvM83XvXt31KtXD56enjV2hWzbti2jZORrycnJwebNm5GZmQkAaNWqFSZPngwDAwO2wQA4Oztj7dq1UFNTExkvLi6Gi4sLb46iqFZSUoKioiKxI0j4oKysDL///juCg4NRUVGBevXqoaKiAmPGjEFwcDBkZWVZRySEkG8WFXlfSUlJCa/32pmbm2P37t2wtLRkHaVWhoaGOHHihLC9Nd+Vlpby8tP/Jk2aIDIyEmZmZjA3N8eKFStgZ2eH5ORkdO/eHUVFRUzzqaioIDExUSJ+zllZWcjOzkbPnj2hpKQknG3kE0nIyGe1ndv45MkTNGnSBOXl5YySSa7c3FykpKSgqKgIVlZWdX40T01++OEHdO7cGR4eHiLjfn5+iI+Px759+xglI4SQL4P25H0lampqvD7g2d/fHx4eHggMDIS+vj7TLLXx8vKCt7c3tm3bBiUlJdZxalRRUQFfX18EBgbi0aNHyMzMhJGRERYuXAgDAwNeLJ3q0qULoqOjYWZmhkGDBsHd3R3Xr1/HgQMHeNFJztzcHE+ePGEd44OePn2Kn376CZGRkRAIBLh58yaMjIwwceJEaGpqwt/fn3VEichYrbCwEHFxcTXuwXR0dGSS6cWLF+A4DhzH4eXLlyIf2FRUVOD48eO8mS17+vQpFi1aVOt+ZT6cLfkuPT094X5LvnzgcP78eXh5eYmNDxw4kFe/K4QQ8l9RkfeV1DZB+vr1a160hO/YsSNKS0thZGQEZWVlsSYNfHiT8NNPP2HXrl3Q1taGgYGBWEY+NIdZtmwZQkJC4Ofnh19++UU43qZNG6xZs4YXRV5AQIBwts7b2xtFRUXYs2cPTExMeNGMY+XKlZgzZw58fX1rbF5T3dGQJTc3N8jJySE3NxdmZmbC8Z9//hkzZ87kxZtCScgIAOHh4XBwcEBRURHU1dVF3vQLBAJmRZ6GhgYEAgEEAgFatmwpdl0gEAiP/WBt3LhxyMrKwsSJE2vcr8wnQUFBWL16NW7evAkAMDExwYwZMzBp0iSmuYqKimr8t1hOTg4vXrxgkIgQQr4sKvK+sOoWzQKBAFu3bhU5+6uiogLnz5/nxbK00aNHIy8vD76+vrx9kzB+/HgkJiZi7NixvM0YGhqKLVu2oE+fPvjtt9+E423btmV+xle1d8/wU1FRQWBgIMM04vr27Qug6vy0d/Gp8crp06dx6tQpNGvWTGTcxMQEd+7cYZRKlCRkBAB3d3c4OzvD19eXV0vaIyMjwXEcbG1tsX//fjRo0EB4TV5eHvr6+mjatCnDhG9duHAB0dHRvN+vumjRIgQEBMDFxQVdu3YFAMTGxsLNzQ25ubnw8fFhls3CwgJ79uzBokWLRMZ3794Nc3NzRqkIIeTLoSLvC6tu0cxxHAIDA0U2llcf8MyHN9kXL15EbGwsr98kHDt2DKdOnUKPHj1YR6lVXl4ejI2NxcYrKyvx5s0bBonEGRkZIT4+Hg0bNhQZLywsRPv27XHr1i1GyapERkYy/f9/iuLi4hoLkoKCAigoKDBIJE4SMgJVvzOurq68KvAAoFevXgCqmsLo6enx8kOlaqamprw58PxDNm3ahD///BOjR48WjtnZ2cHS0hIuLi5Mi7yFCxfC3t4e2dnZsLW1BVB13MyuXbtoPx4h5JtARd4XlpOTA6CqnfmBAweYnfX0MZLwJqF58+a8WKr3Iebm5rhw4YLYvsawsDBYWVkxSiXq9u3bNc6GvX79Gnl5eQwSiap+c81n1tbWCA0NxZIlSwBUzdRXVlbCz8/vg0cX1CVJyAgA/fv3R0JCgsgMM2vXrl1DmzZtICMjg+fPn+P69eu13suHZlX/+9//4OnpiUWLFqFNmza8XOIMVB0s37FjR7HxDh06MG9gM3ToUBw6dAi+vr4ICwuDkpISLC0tcebMGYn4m0QIIR9DRd5XUj07UVZWhpycHLRo0QL16vHn6V6xYgXc3d2xbNky3u6D8vf3x5w5cxAYGMiL1uo1WbRoEcaPH4+8vDxUVlbiwIEDyMjIQGhoKI4ePco025EjR4Tfnzp1CvXr1xc+rqioQEREBG+e1wsXLmDz5s24desW9u3bB11dXezYsQOGhoa8mMn18/NDnz59kJCQgLKyMsyZMwc3btxAQUGB8ABl1iQhIwAMHjwYs2fPRmpqao1/e+zs7Oo8U7t27fDw4UNoa2ujXbt2EAgENe6r5svyYQ0NDbx48UI4A1WNT0ucgaq9g5s2bRLb+7tlyxY4ODgwSvXW4MGDMXjwYNYxCCHkq6AjFL6SV69eYdq0aQgJCQEAYddFFxcX6OrqwtPTk2m+6kO831+SxKc3CZqamigpKUF5eTlvm8MAVQWKj48PkpOTUVRUhPbt22PRokX4/vvvmeZ692f8/q+5nJwcDAwM4O/vjyFDhrCIJ7R//36MGzcODg4O2LFjB1JTU2FkZIQNGzbg+PHjOH78ONN81Z4/f44NGzaI/Jx///136OjosI4mJAkZq1+XNWH1t+fOnTvCJZof27/Ih27EnTt3Rr169TB9+vQa9yvzZSbKxcUFoaGhaN68ubCT7+XLl5GbmwtHR0eRv+l8aAJFCCHfEiryvpLp06cjJiYGa9aswYABA3Dt2jUYGRnh8OHD8PLywpUrV5jmi4qK+uB1PrxJCA4O/uC+mPHjx9dhGsllaGiI+Ph4aGlpsY5SIysrK7i5ucHR0RFqampITk6GkZERrly5goEDB+Lhw4esIxLCK8rKyrhy5QpatWrFOsoHfeoyYYFAgLNnz37lNKIqKiqwevVq7N27F7m5uSgrKxO5zpcPEQkh5L/iz/rBb8yhQ4ewZ88edOnSRaRQad26NbKzsxkmq9KtWzexmbFqfDmzbMKECbVe4+N+wqKiIrHzqviw7LV6nyhfZWRkoGfPnmLj9evXR2FhYd0HqkVpaSmuXbtW47lkLJYY1kQSMvJdSEgItLS0hMv45syZgy1btsDc3By7du3ixUxex44dcffuXd4XeXxuquTt7Y2tW7fC3d0dCxYswPz583H79m0cOnRIrOMmIYRIIiryvpL8/PwaD84tLi7mRde2UaNGISwsTCzLo0eP0KdPH6SkpDBK9parq6vwSIp3FRcXY8iQIbx4A5GTk4Np06bh3LlzKC0tFY7zadkrUDVzu2rVKqSlpQGoahgze/ZsWFtbM04GNGnSBFlZWWL7A6Ojo3nTnOPkyZNwdHSs8QMQvvyc+Zxx3bp1+PXXX6GoqFjj7/S7XF1d6yhVzXx9fbFp0yYAVe3+N2zYgDVr1uDo0aNwc3PDgQMHmOYDqpZBTp8+HbNnz65xXyMfmsPw3c6dO/Hnn39i8ODB8PLywujRo9GiRQtYWlri0qVLzF+HhBDyuWi55lfSs2dPjBw5Ei4uLlBTU8O1a9dgaGgIFxcX3Lx5EydPnmSar1OnTrC0tERQUJBw7MGDB7C1tUXr1q0RFhbGMF2VFi1aYOzYsSIHEBcXF2PAgAEAqvbCsda9e3dwHMfrvTF//fUXnJycYG9vj+7duwMAYmJicPDgQQQHB2PMmDFM8y1fvhx//fUXtm3bhn79+uH48eO4c+cO3NzcsHDhQri4uDDNB1SdNff9999j0aJFaNy4Mes4NeJzRkNDQyQkJKBhw4YwNDSs9T6BQMD8SA9lZWWkp6dDT08PHh4eePDgAUJDQ3Hjxg3Y2NggPz+faT6g5n2N1XtvWRf070tISKh1SSTLgllFRQVpaWnQ09ODjo4Ojh07JjxSxsrKCs+fP2eWjRBCvgiOfBUXLlzgVFVVud9++41TVFTkpk+fzvXr149TUVHhEhISWMfjHj9+zJmamnJubm4cx3FcXl4e17JlS27kyJFcRUUF43RVsrKyOB0dHW716tUcx3HcixcvuK5du3LW1tZcUVER23D/T0VFhUtPT2cd44NMTU25gIAAsXF/f3/O1NSUQSJRlZWV3NKlSzkVFRVOIBBwAoGAU1RU5BYsWMA6mpCamhqXlZXFOsYHSUJGSdCoUSMuKSmJ4ziOa9euHRcaGspxXNXfIxUVFZbRhG7fvv3BL77YtWsXJycnxw0ZMoSTl5fnhgwZwrVs2ZKrX78+N2HCBKbZWrZsyV26dInjOI7r3r07t3z5co7jOG737t1co0aNWEYjhJAvgoq8rygrK4ubNGkS16lTJ87MzIxzcHDgrl27xjqWUG5uLqenp8e5ublxJiYm3M8//8yVl5ezjiUiOTmZa9CgAbd27VquS5cuXK9evXhT4HEcx9nY2HD//PMP6xgfJC8vz928eVNs/ObNm5yCggKDRDV7/fo1d+PGDe7y5cvcy5cvWccR4eTkxG3dupV1jA+ShIwcx3HXr1+v9drBgwfrLkgtxowZw7Vv356bOHEip6yszD158oTjOI47fPgw17p1a8bpJIuFhQW3YcMGjuM4TlVVlcvOzuYqKyu5X375hVu0aBHTbB4eHtyyZcs4jqsq7OrVq8cZGxtz8vLynIeHB9NshBDyJdByzS9o5syZWLJkCVRUVHD+/Hl069aNV2fj1SQzMxPW1tbo168fduzYwYv9gu+LjY1Fv3798N133+Ho0aNQUlJiHUkoOzsbv/32G8aOHVvjocR82BtjbGyM2bNnY/LkySLjgYGB8Pf3x82bNxklkxwlJSUYOXIkGjVqVOMeKD7s35GEjACgq6uL6OhosWWb+/fvh6OjI4qLixklq1JYWIgFCxbg7t27mDJlinB5+OLFiyEvL4/58+czyXXkyBEMHDgQcnJyImdg1oQvTXZUVFRw48YNGBgYoGHDhjh37hwsLCyQlpYGW1tbPHjwgHVEoUuXLuHixYswMTHB0KFDWcchhJDPRkXeFyQnJ4d79+6hcePGkJWVxYMHD2psvsKKpqZmjUVcSUkJFBQUICsrKxxj1T7aysqqxox37tyBtra2SIGXlJRUl9FqdOnSJYwZMwa3b98WjvFlb4yzszPWrl2Lv/76CzNmzICzszO6desGoGpPXnBwMNauXStW/NW10tJSrF+/HpGRkTV2heTDzzkoKAi//fYbFBUV0bBhQ5HXKB/2kQGSkRGoKpb++usvxMTEoEmTJgCAPXv2wNnZGcHBwRg5ciTjhPwkIyMjPLCdj2cN1qRZs2Y4ceIELCwsYGlpiblz52L06NGIjY3FgAEDmO57q+2D2PLycly8eLHGjr+EECJJqMj7gkxMTPDTTz/h+++/R+/evXHw4EFoamrWeC+Lf0CqD2b/FKzOoHu3ycrHLF68+Csm+TTm5uYwMzPDnDlzamy8wrLd+rsfNBw8eBD+/v7C7ppmZmaYPXs2hg0bxixfNQcHB5w+fRo//vhjjc8hH37OTZo0gaurKzw9PT/4BpslSchYzcXFBZGRkTh//jxOnjyJSZMmYceOHfjhhx9YRwNQNZsXFxcn9qGDQCDAuHHjGCaTLGPGjEHHjh2Fq1zWr1+PYcOG4Z9//oGVlRUOHjzILFttH8Q+ffoU2travCmUCSHkv6Ii7ws6dOgQfvvtNzx+/Fg4m1MTPn3SSj6PiooKkpOTYWxszDqKmHc/+eez+vXr4/jx48LOn3zUoEEDxMfHo0WLFqyj1EoSMr7LwcEB8fHxyMvLw99//82LDxwAIDw8HA4ODigqKoK6urrYjCjrQ7LfvHmDAQMGIDAwECYmJkyzfExBQQFKS0vRtGlTVFZWws/PT7gkctasWdDR0WGWTUZGBo8ePUKjRo1ExjMzM9GxY0e8ePGCUTJCCPkyqMj7CqrfHGRkZNT6Brt+/fp1nIp8DUOHDsWECRN4MwPxLhkZGdy8eVPsTcz7WB/Ybm5ujt27d/Ni/2Jt3Nzc0KhRI8ybN491lFrxOWNNe8jevHkDNzc3fP/99yJ7yFjvJ2vZsiUGDRoEX19fKCsrM81Sm0aNGgmLJUlTWlqKjRs34o8//sDDhw/r/P9vb28PADh8+DAGDBgABQUF4bWKigpcu3YNrVq1Yn7MESGEfC5+dwWRUKqqqoiMjIShoSHvG6+QzzN06FC4ubnh+vXrNTa74MMb1trwYd8gAPj7+8PDwwOBgYFMl7d+SEVFBfz8/HDq1ClYWlqK/ZwDAgIYJXuLzxmHDx9e67Vt27Zh27ZtAPixyiEvLw+urq68LfAAYOzYsQgKCsKKFStYR6nR69ev4eXlhX/++Qfy8vKYM2cOhg8fju3bt2PBggWQlZWFm5sbk2zVH7ByHAc1NTWRfd7y8vLo0qULfvnlFybZCCHkS6KZvDpQWloqdggs69kT8mXwuQGCjIwM9u/fjwYNGnzwPtYHtufn5+Onn37C+fPnoaysLFacsF4eBwC9e/eu9ZpAIMDZs2frME3NJCGjJLC3t8eoUaPw008/sY5SKxcXF4SGhsLExAQdOnSAioqKyHXWHzp4eHhg8+bN6Nu3Ly5evIj8/Hw4OTnh0qVLmDdvHkaOHCnS6IsFb29vzJ49m9fFPCGEfA6aZvpKSkpKMGfOHOzduxdPnz4Vu87602ryZbzfCZJvunfvzvs9eaNHj0ZeXh58fX1rbLzCB5GRkawjfJQkZJQEgwcPxuzZs5GamsrL2XkASElJQfv27QFU7SF7Fx9+f/bt24fQ0FDY2dkhJSUFlpaWKC8vR3JyMi/yAUBUVBSmT58uVuS9ePECw4cPpw9FCCESj2byvpLff/8dkZGRWLJkCcaNG4eNGzciLy8PmzdvxooVK+Dg4MA6IvnGSUrjFWVlZcTGxqJt27aso3ySe/fuAahqD89XfMu4bt26T76X9Xl+fJ6dlxTy8vLIycmBrq4uAEBJSQlxcXGwsLBgnOyt2rprPn78GLq6unjz5g2jZIQQ8mXQTN5XEh4ejtDQUNjY2MDJyQnW1tYwNjaGvr4+du7cybzIKy4uxooVKxAREVHj2WR8OFOroqICwcHBtWbkyyetUVFRWLVqlfB4AnNzc8yePRvW1tZMc+nr6/+rJVExMTHo2LGjSCOCumBqaopXr17V6f/z36qsrMTSpUvh7++PoqIiAICamhrc3d0xf/58XhxZwOeMq1ev/qT7BAIB8yKPz7PzFRUVuHHjBkxMTET2kgHAq1evcPPmTbRp04b567GiogLy8vLCx/Xq1YOqqirDRG9du3YNQNWevNTUVJHmLxUVFTh58qSwOCWEEElGRd5XUlBQACMjIwBV+++q9xX16NEDU6ZMYRkNADBp0iRERUVh3Lhx0NHR4c0SmndNnz4dwcHBGDx4MNq0acPLjH/99RecnJxgb28vfHMaExODPn36IDg4GGPGjGGWLScn51/dP3DgQFy9elX4uq0rK1asgLu7O5YtW1bj8jg+7F+dP3++sNFF9VEP0dHR8PLyQmlpKZYtW8Y4Ib8z/tvXIl+UlpZCUVGRdQyhHTt2YMOGDbh8+bLYNTk5OTg7O2PGjBkYO3Ysg3RvcRyHCRMmCD8wKi0txW+//Sa2d/DAgQN1nq1du3YQCAQQCASwtbUVu66kpIT169fXeS5CCPnSaLnmV2JpaYn169ejV69e6Nu3L9q1a4dVq1Zh3bp18PPzEy6nYkVDQwPHjh3j9dlkWlpaCA0NxaBBg1hHqZWZmRl+/fVXsU5xAQEB+PPPP4Wze5JATU0NycnJdV7kVc86vF/E86X7JwA0bdoUgYGBYvuxDh8+jKlTpyIvL49RsrckIaMkqKiogK+vLwIDA/Ho0SNkZmbCyMgICxcuhIGBASZOnMgsm7W1NX7//XeMGjWqxut79+7Fhg0bcP78+TpOJsrJyemT7tu+fftXTiLuzp074DgORkZGiIuLEzliRl5eHtra2sybwhBCyJdAM3lfiZOTE5KTk9GrVy94enpi6NCh2LBhA968ecO88xkAaGpqfrTrImvy8vK8PGT8Xbdu3cLQoUPFxu3s7Hh5XhkfSULDkIKCApiamoqNm5qa8qL7JyAZGavdu3cPR44cQW5urljnYdZ/H5ctW4aQkBD4+fmJtNJv06YN1qxZw7TIy8jIQJcuXWq93qlTJ158sMSiePtU1ce08HlZLiGEfAlU5H0l787s9O3bF+np6UhMTISxsTEvDn1esmQJFi1ahJCQEN62kHZ3d8fatWuxYcMGXi7VBIDmzZsjIiJCrBg9c+YMmjdvziiVZGF9hMOnaNu2LTZs2CDWQGTDhg28aRgjCRkBICIiAnZ2djAyMkJ6ejratGmD27dvg+M4YcdIlkJDQ7Flyxb06dMHv/32m3C8bdu2SE9PZ5isai/1ixcvar3+8uVLlJSU1GEiyZeamlrjhw186KJKCCGfg4q8Lyw2NhZPnz7FkCFDhGOhoaFYvHgxiouLMXz4cKxfv77Om1u8z9/fH9nZ2WjcuDEMDAzE9kElJSUxSvZWdHQ0IiMjceLECbRu3VosI4v9HO9zd3eHq6srrl69im7dugGo2pMXHByMtWvXMk4nGU6ePAlVVVX06NEDALBx40b8+eefMDc3x8aNG6Gpqck4IeDn54fBgwfjzJkz6Nq1K4Cq3/W7d+/i+PHjjNNVkYSMADB37lzMmjUL3t7eUFNTw/79+6GtrQ0HBwcMGDCAdTzk5eXVuIKgsrKSecdFExMTXLx4sdYPCqOjo2FiYlLHqSTTrVu3MGLECFy/fh0CgQDVO1eqP1DkwzJxQgj5HFTkfWE+Pj6wsbERFnnXr1/HxIkTMWHCBJibm8PPzw9NmzaFl5cX05zDhw9n+v//FBoaGhgxYgTrGB80ZcoUNGnSBP7+/ti7dy+Aqn16e/bswbBhwxin+3dYzZbOnj0bK1euBFD1+zJz5ky4u7sjMjISM2fO5MXSr169eiEjIwP/+9//hLM59vb2mDp1Kpo2bco4XRVJyAgAaWlp2LVrF4CqrouvXr2CqqoqfHx8MGzYMOaNqczNzXHhwgXhsr5qYWFhsLKyYpSqypgxY7BgwQJ069ZNrNBLTk7GokWLMGfOHEbpJMv06dNhaGiIiIgIGBoaIi4uDk+fPoW7uztWrVrFOh4hhHw+jnxRTZo04eLj44WP582bx3Xv3l34eO/evZyZmRmLaOQL2rZtG3f79m3WMb4oVVVVLjs7u87/vyoqKlxOTg7HcRy3ePFi7ocffuA4juMSExO5xo0b13keSePo6MiFhIRwd+7cYR3lkzRu3JhLTU3lOI7jzMzMuMOHD3Mcx3FXr17lVFRUWEbjOI7jDh06xNWvX59bsWIFp6yszP3xxx/cpEmTOHl5ee706dNMs5WVlXE2NjZcvXr1uAEDBnAzZszgZsyYwQ0YMICrV68e16tXL66srIxpRknRsGFDLjk5meM4jlNXV+fS09M5juO4iIgIrl27diyjEULIF0EzeV/Ys2fP0LhxY+HjqKgoDBw4UPi4U6dOuHv3Loto5AuaOnUqysrKoK+vj969e8PW1ha9e/fm1YzJv/Xy5Usm/195eXnhPqIzZ87A0dERANCgQYMP7j+qSz179oSNjQ1sbGzQrVs3XrXVv3PnDiZPnoyysjIYGBgIX4+2trZo0qQJ63hiunTpgujoaJiZmWHQoEFwd3fH9evXceDAgQ82Fakrw4YNQ3h4OHx8fKCiooJFixahffv2CA8PR79+/Zhmk5OTw+nTp7F69Wr8/fffOH/+PDiOQ8uWLbFs2TLMmDFDbFk7qVlFRQXU1NQAVHVyvn//Plq1agV9fX1kZGQwTkcIIZ+PjlD4wvT19bFjxw707NkTZWVl0NDQQHh4OPr06QOgajlar169mHS7a9CgATIzM6GlpQVNTc0PLs9j1Y2vffv2iIiIgKamJqysrD6YkeW+wdevX+PixYuIiopCZGQk4uLiUFZWBmNjY/Tu3Ru9e/eGjY2NSMHPyqNHjzBr1izhofLv/8qz3ntiZ2eHsrIydO/eHUuWLEFOTg50dXVx+vRpTJs2DZmZmUzzAcDSpUtx/vx5XLx4EeXl5ejYsSNsbGzQq1cvdO/enXnzourX47lz53Du3DlcvnwZb968gYmJibDoGzlyJNOM1W7duoWioiJYWlqiuLgY7u7uuHjxIkxMTBAQECC2TJKQr8Ha2hru7u4YPnw4xowZg2fPnmHBggXYsmULEhMTkZKSwjoiIYR8FiryvrApU6YgOTkZK1euxKFDhxASEoL79+9DXl4eALBz506sWbMG8fHxdZ4tJCQEo0aNgoKCAkJCQj547/jx4+solShvb2/Mnj0bysrK8Pb2/uC9ixcvrqNUH1daWorY2FhERkbi3LlziI+Px5s3b1BeXs46GgYOHIjc3FxMmzatxoPvWe8dzM3NxdSpU3H37l24uroKW9S7ubmhoqJCrFskS+Xl5YiPj0dUVBTOnTuHs2fPQkZGBqWlpayjiSgtLcXFixdx4sQJbNmyBUVFRcyLeUnBcRwSExNx+/ZtCAQCGBkZCQ/QJt+OU6dOobi4GPb29sjKysKQIUOQmZmJhg0bYs+ePTUelE4IIZKEirwv7MmTJ7C3t0d0dDRUVVUREhIi0jykT58+6NKlC5YtW8YwJfnSysrKEBsbi7NnzwpnUpo2bYpbt26xjgY1NTVcuHAB7dq1Yx1F4mVmZuLcuXOIjIxEVFQUXr9+jZ49e+LgwYOsowF4+zqszlj9OuzVqxe2bdvGOh4AwMjICPHx8WjYsKHIeGFhIdq3b8/0dyYyMhITJ04UHpgNVDUkMjQ0xLZt29CzZ09m2cjXV1BQ8NFVLoQQIimoyPtKnj9/DlVVVcjKyoqMFxQUQFVVVTizV5eKi4uhoqLy1e7/EjiOk4h/YMvKynDp0iXhbM7ly5ehr6+Pnj17omfPnujVqxdvzskzNzfHzp07mXcGrE1SUhLk5ORgYWEBADh8+DC2b98Oc3NzeHl5Mflded+YMWNEirpevXrBxsYGlpaWzF+v58+fFynq9PT00KtXL/Tq1Qs9e/ZEs2bNmOZ7n4yMDB4+fAhtbW2R8UePHkFPTw+vX79mkisrKwtt27bFd999h+nTp8PU1BQcxyE1NRXr1q1DQkICrl27BiMjIyb5CCGEkH+DijwpoqOjg+nTp2P8+PHQ0dGp8R6O43DmzBkEBASgZ8+emDt3bp1mNDc3x6JFi2Bvb//BN/c3b94U7t/x9PSsw4RVlJSUoK2tjaFDh6JXr16wtrbmZZMLADh9+jT8/f2xefNmGBgYsI4jplOnTvD09MQPP/yAW7duoXXr1hgxYgTi4+MxePBgrFmzhnVEyMjIQEtLC87OzrC1tUWPHj2Y78OrJiMjAz09PXh4eMDe3p4X+0BrcuTIEQBVx7eEhISgfv36wmsVFRWIiIjAP//8w6zpxbRp05CWloaIiAixaxzHoW/fvjA3N8f69esZpANevHgBdXV1Jv9vQgghkoeKPCmSkZGBefPm4dixY2jbti06duyIpk2bQlFREc+ePUNqaipiY2NRr149zJ07F5MnTxabifzaIiIi4OHhgVu3bqFfv341ZoyOjsaNGzcwbdo0zJs3T+TNYl3p0qULrly5glatWgkbcNjY2IgtQeMDTU1NlJSUoLy8HMrKymLd91g12alWv359JCUloUWLFli5ciXOnj2LU6dOISYmBqNGjeJFN9pnz57hwoULOHfuHKKiopCWloZ27doJO25+//33zLJ5enri3Llzwtdj9WuxV69e0NLSYpbrfTIyMgAgcvB0NTk5ORgYGMDf3194xmhda9OmDZYvX46hQ4fWeD08PBxz585l1pBDVlYWDx48gLa2NmxtbXHgwAFoaGgwyUIIIYT/qMiTQrm5udi3bx8uXLiAO3fu4NWrV9DS0oKVlRX69++PgQMH1nlx977o6Gjs2bOn1owODg7Q1NRkmrGoqAjR0dHCZitXrlxBy5YthW+we/XqJbYkjQW+Ntmppq6ujsTERJiYmKBfv34YMmQIpk+fjtzcXLRq1QqvXr1imq8mWVlZWLp0KXbu3InKykpeNDUpKioSFqLvvh579eqF3r1748cff2QdEQBgaGiI+Ph4XhWgQNXr8Nq1a7XOdufk5MDS0pLZUSP169fHpUuXYGZmBhkZGTx69AiNGjVikoUQQgj/UZFHyBfy8uVLXLhwAf/88w+2b9+OoqIiXnTX5DtbW1s0b94cffv2xcSJE5GamgpjY2NERUVh/PjxuH37NuuIePr0qbCj5rlz55CamgoNDQ3h/rzp06ezjiimoKAAAQEBWL9+PS+6a8bGxuLp06ciM3WhoaFYvHgxiouLMXz4cKxfvx4KCgpM8tW2V7Dao0eP0LRpU2bP4w8//ICYmBiYmZkhKioK3bp1q3VJ+9mzZ+s4HSGEEL6hw9AJ+UyVlZWIj48XNr+IiYlBcXExr877qqiowKFDh5CWlgYAaN26Nezs7JjP2ALAmjVr4ODggEOHDmH+/PkwNjYGAISFhaFbt26M01XR1taGlpYWrK2t8csvv8DGxkbYKIYv3n0dnjt3DjExMSgqKoKenh7s7e1Zx4O3tzd69+4tLPKuX7+OiRMnYsKECTAzM8Mff/yBpk2bwsvLi1nG1NRUPHz4sMZrT548qeM0ov766y+EhIQgOzsbUVFRaN26NW/2hUqK6n2hn8LOzu4rJiGEkK+PZvII+Q/i4uKEb6ajo6NRVFSEZs2awcbGRngYOl+anGRlZWHQoEHIy8tDq1atAFTtz2zevDmOHTuGFi1aME5Ys9LSUsjKyortIWThxo0baN26NesYNfLz8xMWdS9fvoSurq7I69DQ0JB1RABVjZ/Cw8PRsWNHAMD8+fMRFRWF6OhoAMC+ffuwePFipKamMsknIyNT435B4O0+QoFAwHxGFAB69+6NgwcP0p68f6l6X2i193/e73bK5cPPmRBCPgcVeYT8BzIyMmjSpInwjXTv3r15WywNGjQIHMdh586daNCgAYCq5Ydjx46FjIwMjh07xjgh+RxNmzYVKeqqZ0L5RlFRETdv3hQeLdKjRw8MHDgQ8+fPBwDcvn0bFhYWzPa83blz55Pu49MMPQCR8/zIpztz5gw8PDzg6+uLrl27AqhaUrxgwQL4+vqiX79+jBMSQsjnoSKPkP8gIyNDOCvGdyoqKrh06ZLY8sLk5GR0794dRUVFjJJVqaiowOrVq7F3717k5uairKxM5Drr7p/ky9DX18eOHTvQs2dPlJWVQUNDA+Hh4ejTpw+AquWbvXr1op/3JwoNDcUff/yBmzdvAgBatmyJ2bNnY9y4cYyTSYY2bdogMDAQPXr0EBm/cOECfv31V+HSdkIIkVQyH7+FEPI+SSnwAEBBQaHG2ZGioiJeHDTu7e2NgIAA/Pzzz3j+/DlmzpwJe3t7yMjIMN2fRb6sQYMGwdPTExcuXMDcuXOhrKwMa2tr4fVr167xdjacbwICAjBlyhQMGjQIe/fuxd69ezFgwAD89ttvWL16Net4EiE7O7vG5a7169fnRbMnQgj5XDSTJ8UuXLiAzZs3Izs7G2FhYdDV1cWOHTtgaGgo9ulmXXn3wN8XL1588F46GPjTODo6IikpCUFBQejcuTMA4PLly/jll1/QoUMHBAcHM83XokULrFu3DoMHD4aamhquXr0qHLt06RL+/vtvpvnIl/HkyRPY29sjOjoaqqqqCAkJwYgRI4TX+/Tpgy5dumDZsmUMU0oGQ0NDeHt7w9HRUWQ8JCQEXl5eyMnJYZRMcvTs2ROKiorYsWMHGjduDKCqg6qjoyNKS0sRFRXFOCEhhHweKvKk1P79+zFu3Dg4ODhgx44dSE1NhZGRETZs2IDjx4/j+PHjTHK9e+BvdSOE9/GpAYIkKCwsxPjx4xEeHi5sYlJeXg47OzsEBwczOUz+XSoqKkhLS4Oenh50dHRw7NgxtG/fHrdu3YKVlRWeP3/ONB/5sp4/fw5VVVWxzq4FBQVQVVXlxewy3ykqKiIlJUVs/+XNmzdhYWGB0tJSRskkR1ZWFkaMGIHMzEzhPtG7d+/CxMQEhw4d4u3eVkII+VR0hIKUWrp0KQIDA+Ho6Ijdu3cLx7t3746lS5cyy3X27Flhc5CzZ89SM4EvQENDA4cPH8bNmzeRnp4OADAzM+PNm5hmzZrhwYMH0NPTQ4sWLXD69Gm0b98e8fHxzM5Mq0lUVBRWrVol3Ktjbm6O2bNniyw5JB9X24cK1b/35OOMjY2xd+9ezJs3T2R8z549MDExYZRKshgbG+PatWv4559/RP4u9u3bl/7dIYR8E2gmT0opKysjNTUVBgYGUFNTQ3JyMoyMjHDr1i2Ym5vz4pPgN2/e1No+/8mTJ9DS0qrjRORr8PT0hLq6OubNm4c9e/Zg7NixMDAwQG5uLtzc3LBixQrWEfHXX3/ByckJ9vb26N69OwAgJiYGBw8eRHBwMMaMGcM4IZEm+/fvx88//4y+ffuKvB4jIiKwd+9ekWWwhBBCpBMVeVLKyMgIW7ZsQd++fUWKvNDQUKxYsYLZWVXv+uGHHxAWFib2qeqjR4/Qp08fpKSkMEr2VkVFBYKDgxEREYHHjx+jsrJS5PrZs2eZ5Jo5cyaWLFkCFRUVzJw584P3BgQE1FGqT3Pp0iVcvHgRJiYmGDp0KOs4AKo+4f/111/h5uYmMh4QEIA///yTF534Hj16hFmzZglfi+//aaflzZ9GUp7HxMRErF69WvjaMzMzg7u7O6ysrBgn469169bh119/haKiItatW/fBe11dXesoFSGEfB1U5Emp5cuX46+//sK2bdvQr18/HD9+HHfu3IGbmxsWLlwIFxcX1hHRqVMnWFpaIigoSDj24MED2NraonXr1ggLC2OYrsq0adMQHByMwYMHQ0dHR6wgZdXp7t3Dknv37v3BeyMjI+solbg3b95g8uTJWLhwIW8O7a6JgoICbty4IbbENSsrC23atOHFzPfAgQORm5uLadOm1fhaHDZsGKNkkoWex2+XoaEhEhIS0LBhww/+vREIBLh161YdJiOEkC+PijwpxXEcfH19sXz5cpSUlACoeiM7a9YsLFmyhHG6Kvn5+ejZsycGDhyIgIAA3L9/H71790bbtm2xe/duyMiwPwFES0sLoaGhGDRoEOsoEqt+/fq4evUqr4s8Y2NjzJ49G5MnTxYZDwwMhL+/v/CsMpbU1NRw4cIFtGvXjnUUiUbPIyGEkG8BNV6RUgKBAPPnz8fs2bORlZWFoqIimJubQ1VVlXU0oUaNGuH06dPC4xyOHj2K9u3bY+fOnbwo8ABAXl6eNw1MauPs7Iy1a9dCTU1NZLy4uBguLi7Ytm0bo2RVhg8fjkOHDoktheQTd3d3uLq64urVq+jWrRuAqj1QwcHBWLt2LeN0VZo3by62tJD8e/Q8EkII+RbQTJ6Uev78OSoqKsQ62hUUFKBevXq8OoMuMzMT1tbW6NevH3bs2MGrzmf+/v64desWNmzYwKtc73r3WIp3PXnyBE2aNEF5eTmjZFWWLl0Kf39/9OnTBx06dICKiorIdb7sjTl48CD8/f1F9kDNnj2bN8v3Tp8+DX9/f2zevBkGBgas40gseh6lww8//IDOnTvDw8NDZNzPzw/x8fHYt28fo2SEEPJlUJEnpQYOHIihQ4di6tSpIuOBgYE4cuQIs3PyNDU1ayyWSkpKoKCgIHK2VkFBQV1Gq9GIESMQGRmJBg0aoHXr1mLdQA8cOMAoWdVh8hzHQVNTEzdv3kSjRo2E1yoqKhAeHg5PT0/cv3+fWUYAtDfmC9HU1ERJSQnKy8uhrKws9lrkw++LJKDnUTo0atQIZ8+ehYWFhcj49evX0bdvXzx69IhRMkII+TJouaaUunz5co1dFW1sbDB//nwGiaqsWbOG2f/7v9DQ0OBtu3INDQ0IBAIIBAK0bNlS7LpAIIC3tzeDZKJycnJYR/goIyMjxMfHo2HDhiLjhYWFwoPbWZO03x2+oudROhQVFUFeXl5sXE5ODi9evGCQiBBCviyayZNSKioquHTpUo2fYn733XfCZixEckVFRYHjONja2mL//v0iS3Pl5eWhr6+Ppk2bMkwoOWRkZPDw4UOxJa+PHj2Cnp4eXr9+zSgZIW/973//w5MnT7Bo0SLWUXivc+fOGDJkiNhz5eXlhfDwcCQmJjJKRgghXwbN5Empzp07Y8uWLVi/fr3IeGBgIDp06MAolShHR0f07t0bPXv2RIsWLVjH+aD8/HxkZGQAAFq1aiWyNJKVXr16AaiaKdPT0+PtnkEAuHfvHo4cOYLc3FyUlZWJXGN5jt+RI0eE3586dQr169cXPq6oqEBERASv9m1VVFTg0KFDwn2DrVu3hp2dncgyZ/Jxkvo87t+/Hzk5OVTkfYKFCxfC3t4e2dnZsLW1BQBERERg165dtB+PEPJNoJk8KRUTE4O+ffuiU6dO6NOnD4Cqf+Di4+Nx+vRpWFtbM04ITJo0CefPn0dWVhZ0dXXRq1cv2NjYoFevXjAxMWEdD8DbDpWhoaHCg9BlZWXh6OiI9evXQ1lZmXFCYPv27VBVVcXIkSNFxvft24eSkhKMHz+eUbIqERERsLOzg5GREdLT09GmTRvcvn0bHMehffv2zA6UByDs4ioQCMQ6LsrJycHAwAD+/v4YMmQIi3gisrKyMGjQIOTl5aFVq1YAgIyMDDRv3hzHjh3j/QclfEHPo/Q4duwYfH19cfXqVSgpKcHS0hKLFy8WfkBGCCGSjIo8KXb16lX88ccfIv/AzZ07lzcFVLW8vDycP38eUVFRiIqKQmZmJnR0dHDv3j3W0TB58mScOXMGGzZsQPfu3QEA0dHRcHV1Rb9+/bBp0ybGCYGWLVti8+bNYoeiR0VF4ddffxXOQLLSuXNnDBw4EN7e3lBTU0NycjK0tbXh4OCAAQMGYMqUKUzzAVXNYeLj46GlpcU6Sq0GDRoEjuOwc+dO4dLcp0+fYuzYsZCRkcGxY8cYJ5QMkvY8Vv8TzueZekmTkpKCNm3asI5BCCGfhYo8wnslJSWIjo5GZGQkzp07h6SkJJibm+PKlSuso0FLSwthYWGwsbERGY+MjMRPP/2E/Px8NsHeoaioiPT0dLFlhbdv34aZmRlevXrFJtj/U1NTw9WrV9GiRQtoamoiOjoarVu3RnJyMoYNG4bbt28zzScpattnm5ycjO7du6OoqIhRMskiKc9jaGgo/vjjD9y8eRNA1Yc5s2fPxrhx4xgnk0wvX77Erl27sHXrViQmJqKiooJ1JEII+Sy0J0+KVVZWIisrC48fPxYuNazWs2dPRqnemjdvHs6dO4crV67AzMwMvXr1gqenJ3r27AlNTU3W8QBUFaCNGzcWG9fW1uZN8xptbW1cu3ZNrMhLTk4W6xbJgoqKinAfno6ODrKzs9G6dWsAVWf5kU+joKCAly9fio3X1kWQ1EwSnseAgAAsXLgQ06ZNE1lB8Ntvv+HJkydwc3NjnFBynD9/Hlu3bsWBAwfQtGlT2NvbY+PGjaxjEULI5+OIVIqNjeUMDQ05GRkZTiAQiHzJyMiwjsdxHMcJBAJOW1ubW758OZeRkcE6To1sbW25kSNHcq9evRKOlZSUcCNHjuT69OnDMNlbc+bM4fT19bmzZ89y5eXlXHl5ORcREcHp6+tz7u7urONxw4YN47Zs2cJxHMe5u7tzxsbG3NKlS7n27dvz5jmUBOPGjeNat27NXbp0iausrOQqKyu52NhYrk2bNtz48eNZx5MYkvA8GhgYcCEhIWLjwcHBnIGBAYNEkuXBgwfc8uXLOWNjY05bW5ubNm0aV69ePe7GjRusoxFCyBdDyzWlVLt27dCyZUt4e3tDR0dHbD/Hu10EWUlOTkZUVBTOnTuHCxcuQF5eXth8xcbGpsaz3+paSkoK+vfvj9evX6Nt27YAqnIrKiri1KlTwhkplsrKyjBu3Djs27cP9epVTd5XVlbC0dERgYGBzGcnbt26haKiIlhaWqK4uBju7u64ePEiTExMEBAQAH19fab5JEVhYSHGjx+P8PBw4QHe5eXlsLOzQ3BwMC9+pyWBJDyPioqKSElJgbGxscj4zZs3YWFhgdLSUkbJ+G/o0KE4f/48Bg8eLNz3KysrCzk5OSQnJ8Pc3Jx1REII+SKoyJNSKioqSE5OFnuTwGfJyclYvXo1du7cicrKSt7smSgpKcHOnTuRnp4OADAzM4ODgwOUlJQYJxOVmZmJ5ORkKCkpwcLCgoqnb1RWVpaw9b+ZmZlE/Y7zyc2bN0V+p/n0PLZp0wZjxozBvHnzRMaXLl2KPXv24Pr164yS8V+9evXg6uqKKVOmiDQZoyKPEPKtoT15Uuq7775DVlYWr964vI/jOFy5cgXnzp3DuXPnEB0djRcvXsDS0pJXLa6VlZXxyy+/sI7xUS1btuTF7Kekys7Oxvbt25GdnY21a9dCW1sbJ06cgJ6eHi9mbKsZGxvz+vdaUpiYmPCu03A1b29v/Pzzzzh//rxwT15MTAwiIiKwd+9exun4LTo6GkFBQejQoQPMzMwwbtw4jBo1inUsQgj54mgmT0odPHgQCxYswOzZs2FhYSFcllTN0tKSUbK3NDU1UVRUhLZt2wqXaVpbW0NDQ4N1NIni7Oz8wevbtm2roySiNDU1P6nte0FBQR2k+bCoqCgMHDgQ3bt3x/nz55GWlgYjIyOsWLECCQkJCAsLYx2RfIaZM2diyZIlUFFRwcyZMz94b0BAQB2l+rDExESsXr1aZNbW3d0dVlZWjJNJhuLiYuzZswfbtm1DXFwcKioqEBAQAGdnZ6ipqbGORwghn42KPClVfcjzu6oPfBYIBLxYCnns2DFYW1tDXV2ddRSJNmLECJHHb968QUpKCgoLC2Fra4sDBw4wyRUSEiL8nuM4TJkyBT4+PtDW1ha5j/Vh7QDQtWtXjBw5EjNnzhSe5WdkZIS4uDjY29vz4sxG8t/17t0bBw8ehIaGhth5ku+LjIyso1SkrmRkZCAoKAg7duxAYWEh+vXrhyNHjrCORQghn4WKPCl1586dD17n236t6jfRzZo1Y5zk21BZWYkpU6agRYsWmDNnDus4ACBSPPGNqqoqrl+/DkNDQ5Gct2/fhqmpKTW6IOQbUFFRgfDwcGzbto2KPEKIxBOfziFSQV9f/4NffFBZWQkfHx/Ur19fmEtDQwNLliwRO9eP/DsyMjKYOXMmVq9ezTqKRNDQ0MCDBw/Exq9cuQJdXV0GicTl5uaips/sOI5Dbm4ug0SSydnZucZz8oqLiz+69Plrk5GRgays7Ae/qjvokn9PVlYWw4cPpwKPEPJNoH8NpFxqaipyc3OFh1FXs7OzY5Torfnz5yMoKAgrVqwQOfDXy8sLpaWlWLZsGeOEgJGREeLj48UOFS8sLET79u1x69YtRsk+Ljs7G+Xl5axjSIRRo0bBw8MD+/btg0AgQGVlJWJiYjBr1iw4OjqyjgcAMDQ0xIMHD8SWuxYUFMDQ0JAXS7AlQUhICFasWCG2L+vVq1cIDQ1ltocVqNpLXZvY2FisW7eOPgAjhBACgIo8qXXr1i2MGDEC169fF+7FAyBshMGHN4QhISHYunWrSMFpaWkJXV1dTJ06lRdF3u3bt2t8rl6/fo28vDwGicS930iC4zg8ePAAx44d48V+N0ng6+uL33//Hc2bN0dFRQXMzc1RUVGBMWPGYMGCBazjAYBwP+37ioqKoKioyCCRZHnx4gU4jgPHcXj58qXIc1ZRUYHjx4+LFdB1bdiwYWJjGRkZ8PT0RHh4OBwcHODj48MgGSGEEL6hIk9KTZ8+HYaGhoiIiIChoSHi4uLw9OlTuLu7Y9WqVazjAaiagTA1NRUbNzU1Zd5x8d3lPKdOnRI5ILmiogIREREwMDBgkEzclStXRB7LyMigUaNG8Pf3Z7r87P3is6ysDMuWLRM7bJoP3Qzl5eXx559/YtGiRbh+/TqKiopgZWXFixb71c+jQCDAwoULoaysLLxWUVGBy5cvo127dozSSQ4NDQ0IBAIIBIIajxoRCATw9vZmkKxm9+/fx+LFixESEoL+/fvj6tWraNOmDetYhBBCeIIar0gpLS0tnD17FpaWlqhfvz7i4uLQqlUrnD17Fu7u7mKFAQvfffcdvvvuO6xbt05k3MXFBfHx8bh06RKjZG+7k747C1pNTk4OBgYG8Pf3x5AhQ1jEkwgf62IIVD2/Z8+erYM0kqv6eYyKikLXrl0hLy8vvCYvLw8DAwPMmjWLFwUpn0VFRYHjONja2mL//v1o0KCB8Jq8vDz09fXRtGlThgmrPH/+HL6+vli/fj3atWuHlStXwtramnUsQgghPEMzeVKqoqJCuOdES0sL9+/fR6tWraCvr4+MjAzG6ar4+flh8ODBOHPmDLp27Qqgat/J3bt3cfz4cabZqve9GBoaIj4+HlpaWkzzSCJJakX/ww8/oHPnzvDw8BAZ9/PzQ3x8PPbt28co2dvn0cnJCWvXrqUjR/6jXr16AQBycnLQvHnzGo+ZYc3Pzw8rV65EkyZNsGvXrhqXbxJCCCEAzeRJLWtra7i7u2P48OEYM2YMnj17hgULFmDLli1ITExESkoK64gAqpYkbdy4Eenp6QCqDvydOnUqLz5R5zMrK6tPOmgcAJKSkr5yGsnXqFEjnD17FhYWFiLj169fR9++ffHo0SNGycjXUlJSUmNTKktLS0aJqlYQKCkpoW/fvpCVla31PlZnXxJCCOEPmsmTUgsWLEBxcTEAwMfHB0OGDIG1tTUaNmyI3bt3M073VtOmTXnRYOVd7y8f/RBXV9evmKR2w4cPF35fWlqK//3vfzA3NxfOiF66dAk3btzA1KlTmeSTNEVFRSLLIKvJycnhxYsXDBJVsbe3/+R76Y3/p8nPz4eTkxNOnDhR43WWTakcHR0/+cMbQggh0o1m8ohQQUEBNDU1efUmorCwEHFxcXj8+LFYa3BWresNDQ0/6T6BQMCLIxQmTZoEHR0dLFmyRGR88eLFuHv3LtOW8JKic+fOGDJkCBYtWiQy7uXlhfDwcCQmJjLJ5eTk9Mn3bt++/Ssm+XY4ODjgzp07WLNmDWxsbHDw4EE8evQIS5cuhb+/PwYPHsw6IiGEEPJRVORJKWdnZ6xdu1bsLKji4mK4uLjw4o1/dUvwoqIiqKurixSfAoGAeYdNSVG/fn0kJCSINd64efMmOnbsiOfPnzNKJjnCw8Nhb2+PMWPGwNbWFgAQERGBXbt2Yd++fSIzp0Sy6ejo4PDhw+jcuTPU1dWRkJCAli1b4siRI/Dz80N0dDTriIQQQshH8W9nOakTISEhePXqldh49YG/fODu7g5nZ2cUFRWhsLAQz549E35RgffplJSUEBMTIzYeExND56d9oqFDh+LQoUPIysrC1KlT4e7ujnv37uHMmTNU4H1jiouLhefhaWpqIj8/HwBgYWFB+1cJIYRIDNqTJ2Uk4cDfanl5eXB1dRU594tvPnbOHB9mRGfMmIEpU6YgKSkJnTt3BgBcvnwZ27Ztw8KFC5lkunbt2iffy7LRBQCUl5fD19cXzs7ONRbLfGFoaPjBpdZ8WDosCVq1aoWMjAwYGBigbdu22Lx5MwwMDBAYGAgdHR3W8QghhJBPQkWelJGkA3/79++PhIQEGBkZsY5Sq2fPnok8fvPmDVJSUlBYWChc1seap6cnjIyMsHbtWvz1118AqrqUbt++HT/99BOTTO3atavxjMFq1dcEAgHTRhcAUK9ePfj5+THbA/qpZsyYIfL4zZs3uHLlCk6ePInZs2ezCSWBpk+fjgcPHgCo2rc6YMAA7Ny5E/Ly8ggODmYbjhBCCPlEtCdPyvD9wN8jR44Iv8/Pz4ePjw+cnJxgYWEBOTk5kXvt7OzqOt4nqaysxJQpU9CiRQvMmTOHdRxeunPnziffq6+v/xWTfJphw4bB3t4e48ePZx3lX9u4cSMSEhKo8cp/VFJSgvT0dOjp6dF5mIQQQiQGFXlS6s6dO9DT0+NVJ00An3wAMR9meD4kIyMDNjY2whkBPkhISEBaWhoAwNzcHB06dGCcSHIEBgbC29sbDg4O6NChA1RUVESu8/UDB6BqmWa7du2YHvVACCGEkLpFyzWlVFpaGu7evYsePXoAqPq0/88//4S5uTk2btwITU1NJrnePyZBUmVnZ6O8vJx1DADAvXv3MHr0aMTExEBDQwNA1dEU3bp1w+7du9GsWTO2Af9fampqjYdP86GAqj5PMCAgQOwa3z9wCAsLE5mxJ+Jmzpz5yffW9BoghBBC+IaKPCk1e/ZsrFy5EgBw/fp1zJw5E+7u7oiMjMTMmTNpadcnev/NIcdxePDgAY4dO8abpX2TJk3CmzdvkJaWhlatWgGomml0cnLCpEmTcPLkSab5bt26hREjRuD69esi+/SqZ5n5UEBJwocPVlZWIjPzHMfh4cOHyM/Px//+9z+GyfjvypUrn3Qf31Y+EEIIIbWh5ZpSSlVVFSkpKTAwMICXlxdSUlIQFhaGpKQkDBo0CA8fPmQdEa6urjA2Noarq6vI+IYNG5CVlYU1a9awCfaO3r17izyWkZFBo0aNYGtrC2dnZ9Srx/5zFCUlJVy8eBFWVlYi44mJibC2tkZJSQmjZFWGDh0KWVlZbN26FYaGhoiLi8PTp0/h7u6OVatWwdrammk+SfF+w6Tq16KNjQ1MTU0ZpSKEEEIIC+zfgRIm5OXlhW/uz5w5I+wc2KBBA97s3dm/f79II5Zq3bp1w4oVK3hR5EVGRrKO8FHNmzfHmzdvxMYrKiqYNtmpFhsbi7Nnz0JLSwsyMjKQkZFBjx49sHz5cri6un7yLMvXFhUVhVWrVonsa5w9ezZvitDFixezjkAIIYQQnqAiT0r16NEDM2fORPfu3REXF4c9e/YAADIzM3mzR+vp06eoX7++2Li6ujqePHnCIJFk+uOPP+Di4oKNGzeiY8eOAKqasEyfPh2rVq1inK6q2FRTUwMAaGlp4f79+2jVqhX09fWRkZHBOF2Vv/76C05OTrC3txfOLMfExKBPnz4IDg7GmDFjGCcUVVpaKra3UV1dnVEaydK7d+8PLss8e/ZsHaYhhBBC/hsq8qTUhg0bMHXqVISFhWHTpk3Q1dUFAJw4cQIDBgxgnK6KsbExTp48iWnTpomMnzhxgldn54WFhWHv3r01Ng1JSkpikklTU1PkjWpxcTG+++474fLR8vJy1KtXD87Ozhg+fDiTjNXatGmD5ORkGBoa4rvvvoOfnx/k5eWxZcsW3vycly1bBj8/P7i5uQnHXF1dERAQgCVLlvCiyCsuLoaHhwf27t2Lp0+fil3nw95GSdCuXTuRx2/evMHVq1eRkpLCm322hBBCyMdQkSel9PT0cPToUbHx1atXM0hTs5kzZ2LatGnIz88XHiweEREBf39/XizVBIB169Zh/vz5mDBhAg4fPgwnJydkZ2cjPj4ev//+O7NcfHl+PsWCBQtQXFwMAPDx8cGQIUNgbW2Nhg0bCmeYWbt16xaGDh0qNm5nZ4d58+YxSCRuzpw5iIyMxKZNmzBu3Dhs3LgReXl52Lx5M1asWME6nsSo7W+gl5cXioqK6jgNIYQQ8t9Q4xUp8uLFC+GSrY/tu+PL0q5NmzZh2bJluH//PgAIG8VU7yFkzdTUFIsXL8bo0aOhpqaG5ORkGBkZYdGiRSgoKMCGDRtYR/yggoICXrbXLygoEJuNZMnY2BizZ8/G5MmTRcYDAwPh7++PmzdvMkr2lp6eHkJDQ2FjYwN1dXUkJSXB2NgYO3bswK5du3D8+HHWESVaVlYWOnfujIKCAtZRCCGEkI+imTwpoqmpiQcPHkBbWxsaGho1voHmOI5X535NmTIFU6ZMQX5+PpSUlKCqqso6kojc3Fx069YNQFUXy5cvXwIAxo0bhy5duvC2yDt9+jS2bt2K8PBwvHr1inUcMXwrPN3d3eHq6oqrV68Kf94xMTEIDg7G2rVrGaerUlBQIFzeqq6uLixGevTogSlTprCM9k2IjY2FoqIi6xiEEELIJ6EiT4qcPXtW+OZZErpCvqtRo0asI9SoSZMmKCgogL6+PvT09HDp0iW0bdsWOTk54Nsk+Z07d7Bt2zaEhITg2bNnGDhwIEJDQ1nHkohGF1OmTEGTJk3g7++PvXv3AgDMzMywZ88eDBs2jHG6KkZGRsjJyYGenh5MTU2xd+9edO7cGeHh4dDQ0GAdT2LY29uLPK4++zIhIQELFy5klIoQQgj5d6jIkyK9evWq8Xvy39na2uLIkSOwsrKCk5MT3NzcEBYWhoSEBLE3iyyUlZXhwIED2Lp1K2JiYtC3b1/cu3cPV65cgYWFBet4APjb6GLdunX49ddfoaioiNzcXAwfPhwjRoxgludjnJyckJycjF69esHT0xNDhw7Fhg0b8ObNGwQEBLCOJzHe7+grIyODVq1awcfHB99//z2jVIQQQsi/Q3vypMi1a9c++V5LS8uvmOTbUVlZicrKSmHXyt27d+PixYswMTHB5MmTIS8vzyybi4sLdu3aBRMTE4wdOxajRo1Cw4YNIScnh+TkZJibmzPL9imqG12wOuahXr16uH//PrS1tSErKytc6iwp7ty5g8TERBgbG9PvMyGEECJlqMiTIjIyMhAIBMJ9dx/Clz155L+rV68ePDw84OnpKTyHDoDEFHmsG13o6elh7ty5GDRoEAwNDZGQkAAtLa1a7+WjwsJCWqr5HyUkJIgcfN+hQwfGiQghhJBPJ8M6AKk7OTk5uHXrFnJycrB//34YGhrif//7H65cuYIrV67gf//7H1q0aIH9+/ezjiqmtLSUdYQanTx5EtHR0cLHGzduRLt27TBmzBg8e/aMYTJgx44diIuLg46ODn7++WccPXpUoop31o0uFixYgBkzZsDIyAgCgQCdOnWCoaGhyJeBgQEMDQ2ZZXzXypUrRY6c+Omnn9CwYUPo6uoiOTmZYTLJcu/ePVhbW6Nz586YPn06pk+fjk6dOqFHjx64d+8e63iEEELIJ6GZPCnVuXNneHl5YdCgQSLjx48fx8KFC5GYmMgo2VuVlZVYtmwZAgMD8ejRI2RmZsLIyAgLFy6EgYEBJk6cyDoiLCwssHLlSgwaNAjXr19Hx44d4e7ujsjISJiammL79u2sIyInJwfBwcEIDg5GSUkJCgoKsGfPHvz444+sowH4eKOLxYsXM0oGvHz5Enfu3IGlpSXOnDmDhg0b1nhf27Zt6ziZOENDQ+zcuRPdunXDP//8g59++gl79uzB3r17kZubi9OnT7OOKBEGDBiAwsJChISEoFWrVgCAjIwMODk5QV1dHSdPnmSckBBCCPk4KvKklJKSEpKSkmBmZiYynpaWhvbt2/Oirb6Pjw9CQkLg4+ODX375BSkpKTAyMsKePXuwZs0axMbGso4IVVVVpKSkCM/vS0lJQVhYGJKSkjBo0CA8fPiQdUQhjuNw+vRpBAUF4ciRI9DS0oK9vT3WrVvHNJeTk5PIYxkZGTRq1Ai2tra8aXQREhKCUaNGQUFBgXWUWikpKSEzMxPNmzfH9OnTUVpais2bNyMzMxPfffcd85llSaGkpISLFy/CyspKZDwxMRHW1tYoKSlhlIwQQgj5dNRdU0qZmZlh+fLl2Lp1q7A5SFlZGZYvXy5W+LESGhqKLVu2oE+fPvjtt9+E423btkV6ejrDZG/Jy8sL3/SdOXNGeEh7gwYNPnrgfF0TCATo378/+vfvj4KCAoSGhvJippEPGT6GZZfPT6WpqYm7d++iefPmOHnyJJYuXQqgqriXpGW6rDVv3hxv3rwRG6+oqEDTpk0ZJCKEEEL+PdqTJ6UCAwNx6tQpNGvWDH379kXfvn3RrFkznDp1CoGBgazjAQDy8vJgbGwsNl5ZWVnjmzAWevTogZkzZ2LJkiWIi4vD4MGDAQCZmZlo1qwZ43S1a9CgAWbMmMGLvVofOrNx8+bNdZhEstnb22PMmDHo168fnj59ioEDBwIArly5UuPvEanZH3/8ARcXFyQkJAjHEhISMH36dGadXgkhhJB/i5ZrSrHi4mLs3LlTOCtmZmaGMWPGQEVFhXGyKh06dICbmxvGjh0LNTU1JCcnw8jICD4+Pvjnn39w4cIF1hGRm5uLqVOn4u7du3B1dRXuE3Rzc0NFRQXzpZCSQEFBAa6urvD19YWcnBwA4MmTJ3ByckJ0dDQtM/xEb968wdq1a3H37l1MmDBBuNxw9erVUFNTw6RJkxgnlAyampooKSlBeXm58GiU6u/f/9vIqvMrIYQQ8jFU5BHeOnz4MMaPH4+5c+fCx8cH3t7eyMjIQGhoKI4ePYp+/fqxjki+gIsXL8LR0RGqqqr4+++/kZOTg4kTJ6JVq1YIDQ2Fvr4+64hEioSEhHzyvZKwjJcQQoh0oiKP8NqFCxfg4+OD5ORkFBUVoX379li0aBFvGnIkJSVBTk4OFhYWAKoK0+3bt8Pc3BxeXl5MD0OXJEVFRfjtt98QFhaGyspKLFmyBHPmzPnoeY7krZCQEGhpaQmXDM+ZMwdbtmyBubk5du3aRcUyIYQQIkWoyCPkM3Tq1Amenp744YcfcOvWLbRu3RojRoxAfHw8Bg8ejDVr1rCOKBGSkpIwZswYlJeX4/79+xg1ahTWr1/PdOnwzJkzP/negICAr5jk07Rq1QqbNm2Cra0tYmNj0bdvX6xevRpHjx5FvXr1cODAAdYRJUZFRQUOHTokPAy9devWsLOzg6ysLONkhBBCyKehIo/wVnx8PCorK/Hdd9+JjF++fBmysrLo2LEjo2Rv1a9fH0lJSWjRogVWrlyJs2fP4tSpU4iJicGoUaNw9+5d1hGFXF1d0bNnTwwdOhQKCgp49eoVxo4di/379zPNtWLFCixevBi//vor/vjjD2RlZWHcuHF48eIF/vrrL3Tt2pVJrt69e3/SfQKBAGfPnv3KaT5OWVkZ6enp0NPTg4eHBx48eIDQ0FDcuHEDNjY2yM/PZx1RImRlZWHQoEHIy8sTOSevefPmOHbsGFq0aME4ISGEEPJxdIQC4a3ff/8dc+bMESvy8vLysHLlSly+fJlRsrc4jkNlZSWAqiMUhgwZAqCqDfuTJ09YRhNz+/ZtHD16FFOnTsX8+fPx999/8+Icv7Vr1+LQoUPCbpBt2rRBXFwc5s2bBxsbG7x+/ZpJrg91/eQjVVVVPH36FHp6ejh9+rRwJlJRUZEX515KCldXV7Ro0QKXLl1CgwYNAABPnz7F2LFj4erqimPHjjFOSAghhHwczeRJubKyMjx+/FhYqFTT09NjlOgtVVVVXLt2DUZGRiLjOTk5sLS0xMuXLxkle8vW1hbNmzdH3759MXHiRKSmpsLY2BhRUVEYP348bt++zTqimK1bt+LXX3+FqqoqMjMz0aRJE6Z5njx5Ai0trRqvRUVFoVevXnWcSDI5ODggPT0dVlZW2LVrF3Jzc9GwYUMcOXIEc+fOxY0bN1hHlAgqKiq4dOmScJ9tteTkZHTv3h1FRUWMkhFCCCGfjmbypNTNmzfh7OyMixcvioxzHAeBQMCLw5MVFBTw6NEjsSLvwYMHwtbmrK1ZswYODg44dOgQ5s+fLzyPLCwsDN26dWOabdmyZTA0NMSYMWOEY0+ePMEff/yB/v374/79+wgLC8O0adMYpgS0tLRQWFiIsLAwZGdnY/bs2WjQoAGSkpJ4db5bQkIC9u7di9zcXJSVlYlc48N+t40bN2LBggW4e/cu9u/fj4YNGwIAEhMTRV4D5MMUFBRq/ACpqKiIGikRQgiRGDSTJ6W6d++OevXqwdPTEzo6OmJdDNu2bcso2VujR4/GgwcPcPjwYdSvXx8AUFhYiOHDh0NbWxt79+5lnLB2paWlkJWVFZ77xoKRkRH27t0r3Lv48uVL2NjYoEWLFti5cydOnDiB+fPn4/r168wyAsC1a9fQt29f1K9fH7dv30ZGRgaMjIywYMEC5ObmIjQ0lGk+ANi9ezccHR3Rv39/nD59Gt9//z0yMzPx6NEjjBgxAtu3b2cd8YNSUlLQpk0b1jEkgqOjI5KSkhAUFITOnTsDqNoH/Msvv6BDhw4IDg5mG5AQQgj5BFTkSSkVFRUkJibC1NSUdZRa5eXloWfPnnj69KnwYOerV6+icePG+Oeff9C8eXPGCWuWmZmJoKAghIaG4sGDB8xyKCkpIT09Hfr6+nj9+jUGDhwIPT09bNu2DTIyMsJuoKz3a/Xp0wcdOnSAn5+fyKH3Fy9exJgxY3ix5NXS0hKTJ0/G77//LsxoaGiIyZMnQ0dHB97e3qwjinn58iV27dqFoKAgJCQk8GJ2XhIUFhZi/PjxCA8PF35IU15eDjs7OwQHBws/cCKEEEL4TIZ1AMKGubk57xqDvE9XVxfXrl2Dn58fzM3N0aFDB6xduxbXr1/nXYFXUlKC7du3w9raGubm5oiKivpXLfi/BgMDA2zZsgVZWVkYNmwYTE1NERwcDBmZql/769evQ1dXl2lGoGoZ5OTJk8XGdXV1edEYBgCys7OF58/Jy8ujuLgYAoEAbm5u2LJlC+N0os6fP4/x48dDR0cHq1atQu/evXHp0iXWsSSGhoYGDh8+jMzMTISFhSEsLAwZGRk4ePAgFXiEEEIkBj82NpE6t3LlSsyZMwe+vr6wsLAQW1aorq7OKJkoFRUV/Prrr6xj1OrSpUvYunUr9u3bBz09PaSlpSEyMhLW1taso2H+/PkYP348/Pz80KFDByQlJSEjIwOtWrVCfHw83Nzc8OOPP7KOCQUFBbx48UJsPDMzE40aNWKQSJympqZwn5auri5SUlJgYWGBwsJClJSUME4HPHz4EMHBwQgKCsKLFy/w008/4fXr1zh06BDMzc1Zx5MIlZWV+OOPP3DkyBGUlZWhT58+WLx4MZSUlFhHI4QQQv41KvKkVN++fQFULZV7F+vGK0eOHMHAgQMhJyeHI0eOfPBeOzu7Okolzt/fH9u2bcPz588xevRonD9/Hm3btoWcnJyw4QVrY8eOhbW1NQQCAXR1dTFp0iSYmZlBUVERr1+/RteuXbF48WLWMWFnZwcfHx/hHkuBQIDc3Fx4eHjghx9+YJyuSs+ePfHPP//AwsICI0eOxPTp03H27Fn8888/Yr9DdW3o0KE4f/48Bg8ejDVr1mDAgAGQlZVFYGAg01ySZtmyZfDy8kLfvn2hpKSEtWvX4vHjx9i2bRvraIQQQsi/RnvypFRUVNQHr7NqWy8jI4OHDx9CW1tbuKywJqw7gNarVw8eHh7w8fGBrKyscFxOTg7Jycm8nT1JS0vDtWvXoKurix49erCOAwB4/vw5fvzxRyQkJODly5do2rQpHj58iK5du+L48eNQUVFhHREFBQUoLS1F06ZNUVlZCT8/P1y8eBEmJiZYsGABNDU1mWWrV68eXF1dMWXKFJiYmAjH+f5a5BsTExPMmjVLuHT4zJkzGDx4MF69evXBv0WEEEIIH1GRR8h/sHz5cmzfvh2lpaUYPXo0xo0bhzZt2tAb688QExOD5ORkFBUVoX379sLZZvJhly5dQlBQEPbs2QMzMzOMGzcOo0aNgo6ODr0W/wUFBQVkZWWJ7PdVVFREVlYWmjVrxjAZIYQQ8u9RkSfFCgsLERQUhLS0NABA69at4ezsTM0F/oWoqChs27YNYWFhMDY2xo0bNxAVFYXu3buzjka+sMrKSmRlZeHx48eorKwUudazZ09Gqd4qLi7Gnj17sG3bNsTFxaGiogIBAQFwdnaGmpoa63i8Jysri4cPH4rsA1VTU8O1a9dgaGjIMBkhhBDy71GRJ6USEhLQv39/KCkpCc+Cio+Px6tXr3D69Gm0b9+eSa5169Z98r2urq5fMcm/8/LlS/z999/Ytm0bEhMT0blzZ/z444/MO2zyWWxsLJ4+fYohQ4YIx0JDQ7F48WIUFxdj+PDhWL9+PRQUFBimrHLp0iWMGTMGd+7cwft/MlkvHa5JRkYGgoKCsGPHDhQWFqJfv34f3eMq7WRkZDBw4ECR11t4eDhsbW1Flgzz4eB7Qggh5GOoyJNS1tbWMDY2xp9//ol69ar675SXl2PSpEm4desWzp8/zyTXp35iLhAIcOvWra+c5r+5fv06goKC8Pfff+Px48es4/DWwIEDYWNjAw8PDwBVz1v79u0xYcIEmJmZ4Y8//sDkyZPh5eXFNiiAdu3aoWXLlvD29oaOjg4EAoHIdb7OfldUVCA8PBzbtm2jIu8jnJycPuk+vh98TwghhABU5EktJSUlXLlyReww9NTUVHTs2JEXbeEl3Zs3b8SOpiBv6ejoIDw8HB07dgRQdeRDVFQUoqOjAQD79u3D4sWLkZqayjImgKqjPJKTk2FsbMw6CiGEEELIR1HLMCmlrq6O3NxcsfG7d+/ycv8Ox3Fiy+T4ji8F3osXL2r8evnyJcrKypjlevbsGRo3bix8HBUVhYEDBwofd+rUCXfv3mURTcx3332HrKws1jEIIYQQQj4JFXlS6ueff8bEiROxZ88e3L17F3fv3sXu3bsxadIkjB49mnU8odDQUFhYWEBJSQlKSkqwtLTEjh07WMeSKBoaGtDU1BT70tDQgJKSEvT19bF48WKxZiJfW+PGjZGTkwMAKCsrQ1JSErp06SK8/vLlS94Uyi4uLnB3d0dwcDASExNx7do1kS9CCCGEED6hw9Cl1KpVqyAQCODo6Ijy8nIAVTNPU6ZMwYoVKxinqxIQEICFCxdi2rRpwm6V0dHR+O233/DkyRO4ubkxTigZgoODMX/+fEyYMEHYZCcuLg4hISFYsGAB8vPzsWrVKigoKGDevHl1lmvQoEHw9PTEypUrcejQISgrK8Pa2lp4/dq1a2jRokWd5fmQ6kPZnZ2dhWMCgQAcx/Gy8QohhBBCpBvtyZNyJSUlyM7OBgC0aNECysrKjBO9ZWhoCG9vbzg6OoqMh4SEwMvLSzgLxEp5eTn+/vtv9O/fX2TZId/06dMHkydPxk8//SQyvnfvXmzevBkRERHYsWMHli1bhvT09DrL9eTJE9jb2yM6OhqqqqoICQnBiBEjRHJ36dIFy5Ytq7NMtblz584Hr+vr69dREkIIIYSQj6Mij/CWoqIiUlJSxJpd3Lx5ExYWFigtLWWU7C1lZWWkpaXx+k2+kpISrl27BhMTE5Hxmzdvom3btigpKUFOTg5at27NpOHO8+fPoaqqCllZWZHxgoICqKqqQl5evs4zEUIIIYRIMlquKUXs7e0RHBwMdXV12Nvbf/BePpwFZWxsjL1794otIdyzZ49YwcJK586dcfXqVV4Xec2bN0dQUJDYMtygoCA0b94cAPD06VNoamqyiFfr8QMNGjSo4ySijhw5goEDB0JOTu6jxw/Y2dnVUSpCCCGEkI+jIk+K1K9fX3i+l7q6uthZX3zj7e2Nn3/+GefPnxfuyYuJiUFERAT27t3LOF2VqVOnYubMmbh79y46dOggcmgyAFhaWjJK9taqVaswcuRInDhxAp06dQIAJCQkID09HWFhYQCA+Ph4/Pzzzyxj8s7w4cPx8OFDaGtrY/jw4bXeR3vyCCGEEMI3tFyT8FpiYiJWr16NtLQ0AICZmRnc3d1hZWXFOFkVGRnxBrV8bMiRk5ODzZs3IzMzEwDQqlUrTJ48GQYGBmyDEUIIIYSQL46KPClla2uLAwcOQENDQ2T8xYsXGD58OM6ePcsmmIShhhyEEEIIIYRvqMiTUjIyMsKlaO96/PgxdHV18ebNG0bJRFVUVODgwYPCmTxzc3MMGzYM9erRSuN/o7CwEHFxcXj8+LHYeXjvdy8lNYuPj0dkZGSNz2FAQACjVIQQQggh4uidspR59+Dm1NRUPHz4UPi4oqICJ0+ehK6uLotoYm7cuAE7Ozs8fPgQrVq1AgCsXLkSjRo1Qnh4ONq0acM4YZUdO3YgMDAQOTk5iI2Nhb6+PtasWQNDQ0MMGzaMdTyEh4fDwcEBRUVFYnsxq89KJB/m6+uLBQsWoFWrVmjcuLHYc0gIIYQQwic0kydlZGRkhG9Ka/rRKykpYf369SKHPrPStWtXNGrUCCEhIcLOj8+ePcOECROQn5+PixcvMk4IbNq0CYsWLcKMGTOwbNkypKSkwMjICMHBwQgJCUFkZCTriGjZsiUGDRoEX19fXp2DKEkaN26MlStXYsKECayjEEIIIYR8FBV5UubOnTvgOA5GRkaIi4tDo0aNhNfk5eWhra0tdl4ZK0pKSkhISEDr1q1FxlNSUtCpUye8evWKUbK3zM3N4evri+HDh0NNTQ3JyckwMjJCSkoKbGxs8OTJE9YRoaKiguvXr8PIyIh1FImlo6OD8+fP8+boDkIIIYSQD6HlmlKmuhHI+3uK+Khly5Z49OiRWJH3+PFjsQPSWcnJyamx06eCggKKi4sZJBLXv39/JCQkUJH3Gdzc3LBx40asWbOGdRRCCCGEkI+iIk/KpaamIjc3F2VlZSLjfDjcefny5XB1dYWXlxe6dOkCALh06RJ8fHywcuVKvHjxQnivuro6k4yGhoY1HoZ+8uRJmJmZMcn0vsGDB2P27NlITU2FhYUF5OTkRK7z4WfNd7NmzcLgwYPRokULmJubiz2HBw4cYJSMEEIIIUQcLdeUUrdu3cKIESNw/fp14bluwNsmEnw43+3dM+je30f47mOW59Ft3boVXl5e8Pf3x8SJE7F161ZkZ2dj+fLl2Lp1K0aNGsUk17tqOsuvGp/O8uOzadOmYevWrejdu7dY4xUA2L59O6NkhBBCCCHiqMiTUkOHDoWsrCy2bt0KQ0NDxMXF4enTp3B3d8eqVatgbW3NOiKioqI++d5evXp9xSQftnPnTnh5eSE7OxsA0LRpU3h7e2PixInMMpEvS01NDbt378bgwYNZRyGEEEII+Sgq8qSUlpYWzp49C0tLS9SvXx9xcXFo1aoVzp49C3d3d1y5coV1RIlTUlKCoqIisbMHieTT19fHqVOnYGpqyjoKIYQQQshH0Z48KVVRUQE1NTUAVQXf/fv30apVK+jr6yMjI4NxOsmkrKzMmyMK1q1bh19//RWKiopYt27dB+91dXWto1SSy8vLC4sXL8b27dt58zMmhBBCCKkNzeRJKWtra7i7u2P48OEYM2YMnj17hgULFmDLli1ITExESkoK64gS4dGjR5g1axYiIiLw+PFjsbMHWe13MzQ0REJCAho2bAhDQ8Na7xMIBLh161YdJpNMVlZWyM7OBsdxMDAwEGu8kpSUxCgZIYQQQog4msmTUgsWLBC2+Pfx8cGQIUNgbW2Nhg0bYvfu3YzTSY4JEyYgNzcXCxcuhI6OjlhDDlZycnJq/J78N8OHD2cdgRBCCCHkk9FMHhEqKCiApqYmbwoVSaCmpoYLFy6gXbt2rKN8kve7kxJCCCGEkG9P7b3VyTfN2dkZL1++FBlr0KABSkpK4OzszCiVKFtbWxQWFoqNv3jxAra2tnUfqAbNmzcXW6LJR0FBQWjTpg0UFRWhqKiINm3aYOvWraxjEUIIIYSQr4Bm8qSUrKwsHjx4INYJ8smTJ2jSpAnKy8sZJXtLRkYGDx8+FMv4+PFj6Orq4s2bN4ySvXX69Gn4+/tj8+bNMDAwYB2nRosWLUJAQABcXFzQtWtXAEBsbCw2bNgANzc3+Pj4ME7ITw0aNEBmZia0tLQ+OsNdUFBQh8kIIYQQQj6M9uRJmRcvXoDjOHAch5cvX0JRUVF4raKiAsePH2d+BMC1a9eE36empuLhw4fCxxUVFTh58iR0dXVZRAMAsTf8xcXFaNGiBZSVlcUacvDhzf+mTZvw559/YvTo0cIxOzs7WFpawsXFhYq8WqxevVrYgXbNmjVswxBCCCGE/AtU5EkZDQ0NCAQCCAQCtGzZUuy6QCCAt7c3g2RvtWvXTpixpmWZSkpKWL9+PYNkVSTtDf+bN2/QsWNHsfEOHTrwYsaWr8aPHw8AKC8vh0AgQP/+/dG4cWPGqQghhBBCPo6Wa0qZqKgocBwHW1tb7N+/Hw0aNBBek5eXh76+Ppo2bcowIXDnzh1wHAcjIyPExcWhUaNGwmvy8vLQ1taGrKwsw4SSxcXFBXJycggICBAZnzVrFl69eoWNGzcySiY5lJWVkZaWBn19fdZRCCGEEEI+ioo8KXXnzh3o6elRl8XPVNvexqdPn0JbW5vZOXnvcnFxQWhoKJo3b44uXboAAC5fvozc3Fw4OjqKLDF9vxAkVWxsbDBjxgw6SoEQQgghEoGWa0qptLQ03L17Fz169AAAbNy4EX/++SfMzc2xceNGaGpqMk4IhISEQEtLC4MHDwYAzJkzB1u2bIG5uTl27drFi1mV2j4jef36NeTl5es4Tc1SUlLQvn17AEB2djYAQEtLC1paWiKH3lPBX7upU6fC3d0d9+7dQ4cOHaCioiJy3dLSklEyQgghhBBxNJMnpSwsLLBy5UoMGjQI169fR8eOHeHu7o7IyEiYmppi+/btrCOiVatW2LRpE2xtbREbG4s+ffpgzZo1OHr0KOrVq4cDBw4wy7Zu3ToAgJubG5YsWQJVVVXhtYqKCpw/fx63b9/GlStXWEUkX5CMjPhpMwKBABzHQSAQ8GLGlhBCCCGkGhV5UkpVVRUpKSkwMDCAl5cXUlJSEBYWhqSkJAwaNEikoyUrysrKSE9Ph56eHjw8PPDgwQOEhobixo0bsLGxQX5+PrNshoaGAKqWvTZr1kxkj6C8vDwMDAzg4+OD7777jlXEGt29exdA1fl+5NPduXPng9f5MKtMCCGEEFKNlmtKKXl5eZSUlAAAzpw5A0dHRwBVZ4O9ePGCZTQhVVVVPH36FHp6ejh9+jRmzpwJAFBUVMSrV6+YZsvJyQEA9O7dGwcOHODF8tbalJeXw9vbG+vWrUNRURGAqufWxcUFixcvFjv2gYijIo4QQgghkoSKPCnVo0cPzJw5E927d0dcXBz27NkDAMjMzESzZs0Yp6vSr18/TJo0CVZWVsjMzMSgQYMAADdu3ODNweORkZEAqg6RB6r2uvGNi4sLDhw4AD8/P5HD0L28vPD06VNs2rSJcUL+W758ORo3bgxnZ2eR8W3btiE/Px8eHh6MkhFCCCGEiBPfaEKkwoYNG1CvXj2EhYVh06ZNwsPFT5w4gQEDBjBOV2Xjxo3o2rUr8vPzsX//fjRs2BAAkJiYKHKwNyuFhYX4/fffoaWlhcaNG6Nx48bQ0tLCtGnTUFhYyDqe0N9//43g4GBMnjwZlpaWsLS0xOTJkxEUFIS///6bdTyJsHnzZpiamoqNt27dGoGBgQwSEUIIIYTUjvbkEfIfFBQUoGvXrsjLy4ODgwPMzMwAAKmpqfj777/RvHlzXLx4kRfLOLW1tREVFSXMWC0tLQ09e/ZkurdRUigqKiItLU24F7ParVu3YG5ujtLSUkbJCCGEEELE0Uwe4bULFy5g7Nix6NatG/Ly8gAAO3bsQHR0NNNcPj4+kJeXR3Z2NjZv3owZM2ZgxowZ2LJlC7KysiAnJwcfHx+mGatNmzYNS5YswevXr4Vjr1+/xrJlyzBt2jSGySRH8+bNERMTIzYeExODpk2bMkhECCGEEFI72pNHeGv//v0YN24cHBwckJSUJCxSnj9/Dl9fXxw/fpxZtkOHDmHz5s1o3Lix2LUmTZrAz88Pv/32G1avXs0gnagrV64gIiICzZo1Q9u2bQEAycnJKCsrQ58+fWBvby+8l+WxFHz2yy+/YMaMGXjz5g1sbW0BABEREZgzZw7c3d0ZpyOEEEIIEUXLNQlvWVlZwc3NDY6OjlBTU0NycjKMjIxw5coVDBw4kOkxDwoKCsjOzq61Sc29e/dgbGzMi2V8Tk5On3wvH85H5COO4+Dp6Yl169ahrKwMQNUSTg8PDyxatIhxOkIIIYQQUTSTR3grIyMDPXv2FBuvX78+88YmWlpauH37dq1FXk5ODho0aFDHqWpGhdvnEwgEWLlyJRYuXIi0tDQoKSnBxMQECgoKrKMRQgghhIihPXkE9+7dw71791jHENOkSRNkZWWJjUdHR8PIyIhBorf69++P+fPnC2d13vX69WssXLiQN11KyZejqqqKTp06oU2bNlTgEUIIIYS3aCZPSlVWVmLp0qXw9/cXHpCtpqYGd3d3zJ8/HzIy7Ov/X375BdOnT8e2bdsgEAhw//59xMbGYtasWVi4cCHTbD4+PujYsSNMTEzw+++/w9TUFBzHIS0tDf/73//w+vVr7Nixg2nGd4WFhWHv3r3Izc0VK0yTkpIYpSKEEEIIIV8DFXlSav78+QgKCsKKFSvQvXt3AFUzZF5eXigtLcWyZcsYJwQ8PT1RWVmJPn36oKSkBD179oSCggJmzZoFFxcXptmaNWuG2NhYTJ06FXPnzkX11laBQIB+/fphw4YNaN68OdOM1datW4f58+djwoQJOHz4MJycnJCdnY34+Hj8/vvvrOMRQgghhJAvjBqvSKmmTZsiMDAQdnZ2IuOHDx/G1KlThccVsFJRUYGYmBhYWlpCWVkZWVlZKCoqgrm5OVRVVZlme9+zZ89w8+ZNAICxsTFv9uJVMzU1xeLFizF69GiRBjaLFi1CQUEBNmzYwDoiIYQQQgj5gtivySNMFBQUwNTUVGzc1NQUBQUFDBKJkpWVxffff49nz55BXl4e5ubm6Ny5M+8KPADQ1NRE586d0blzZ94VeACQm5uLbt26AQCUlJTw8uVLAMC4ceOwa9cultF4rX379nj27BmAquW5JSUljBMRQgghhHwaKvKkVNu2bWucwdmwYYPwLDXW2rRpg1u3brGOIfGaNGkiLNz19PRw6dIlAFUdQGkiv3ZpaWkoLi4GAHh7ewv3rhJCCCGE8B3tyZNSfn5+GDx4MM6cOYOuXbsCAGJjY3H37l2mh4y/a+nSpZg1axaWLFmCDh06QEVFReS6uro6o2SSxdbWFkeOHIGVlRWcnJzg5uaGsLAwJCQkiByETkS1a9cOTk5O6NGjBziOw6pVq2qdSaaz8gghhBDCJ7QnT4rdv38fGzduRHp6OgDAzMwMU6dORdOmTRknq/Juh0+BQCD8nuM4CAQCVFRUsIglcSorK1FZWYl69ao+09m9ezcuXrwIExMTTJ48GfLy8owT8lNGRgYWL16M7OxsJCUlwdzcXPgcvksgEFCHUkIIIYTwChV5UujNmzcYMGAAAgMDYWJiwjpOraKioj54vVevXnWUhEg7GRkZPHz4ENra2qyjEEIIIYR8FC3XlEJycnK4du0a6xgfRUXcl1NYWIi4uDg8fvwYlZWVItccHR0ZpZIc7z9nhBBCCCF8RjN5UsrNzQ0KCgpYsWIF6ygfVVJSUuMh3paWlowSSZbw8HA4ODigqKgI6urqIktfBQIBL7qpSoLs7GysWbMGaWlpAABzc3NMnz4dLVq0YJyMEEIIIUQUFXlSysXFBaGhoTAxMamxqUlAQACjZG/l5+fDyckJJ06cqPE67cn7NC1btsSgQYPg6+sLZWVl1nEk0qlTp2BnZ4d27dqhe/fuAICYmBgkJycjPDwc/fr1Y5yQEEIIIeQtKvKkVO/evT94PTIyso6S1M7BwQF37tzBmjVrYGNjg4MHD+LRo0dYunQp/P39MXjwYNYRJYKKigquX78OIyMj1lEklpWVFfr37y828+3p6YnTp09T4xVCCCGE8AoVeYS3dHR0cPjwYXTu3Bnq6upISEhAy5YtceTIEfj5+SE6Opp1RIlgb2+PUaNG4aeffmIdRWIpKiri+vXrYo2KMjMzYWlpidLSUkbJCCGEEELEUeMVKeXs7Iy1a9dCTU1NZLy4uBguLi7Ytm0bo2SiWaq7GWpqaiI/Px8tW7aEhYUFzZz8C4MHD8bs2bORmpoKCwsLyMnJiVy3s7NjlExyNGrUCFevXhUr8q5evUodNwkhhBDCOzSTJ6VkZWXx4MEDsTeoT548QZMmTVBeXs4o2VudOnXC0qVL0b9/f9jZ2UFDQwPLly/HunXrEBYWhuzsbNYRJcK75w2+j84b/DQ+Pj5YvXo1PD090a1bNwBVe/JWrlyJmTNnYuHChYwTEkIIIYS8RTN5UubFixfgOA4cx+Hly5dQVFQUXquoqMDx48d5MzMxffp0PHjwAACwePFiDBgwADt37oS8vDyCg4PZhpMg1P7/8y1cuBBqamrw9/fH3LlzAQBNmzaFl5cXXF1dGacjhBBCCBFFM3lSRkZGRqSF/vsEAgG8vb0xf/78Okz1aUpKSpCeng49PT1oaWmxjkOk1MuXLwFAbKkzIYQQQghfUJEnZaKiosBxHGxtbbF//340aNBAeE1eXh76+vpo2rQpw4TiysrKkJOTgxYtWqBePZp8/hTr1q375HtpJooQQggh5NtCRZ6UunPnDvT09D44q8daSUkJXFxcEBISAqCqk6GRkRFcXFygq6sLT09Pxgn5y9DQUORxfn4+SkpKoKGhAQAoLCyEsrIytLW1cevWLQYJCSGEEELI11J7RwbyTdPX10d0dDTGjh2Lbt26IS8vDwCwY8cO3hxNMHfuXCQnJ+PcuXMiewf79u2LPXv2MEzGfzk5OcKvZcuWoV27dkhLS0NBQQEKCgqQlpaG9u3bY8mSJayjEkIIIYSQL4yKPCm1f/9+9O/fH0pKSkhKSsLr168BAM+fP4evry/jdFUOHTqEDRs2oEePHiIzjq1bt6bOmv/CwoULsX79erRq1Uo41qpVK6xevRoLFixgmIwQQgghhHwNVORJqaVLlyIwMBB//vmnyLlp3bt3580ZdPn5+TV2+iwuLub1MlO+efDgQY1HYlRUVODRo0cMEkk2OvicEEIIIXxHRZ6UysjIQM+ePcXG69evj8LCwroPVIOOHTvi2LFjwsfVhd3WrVvRtWtXVrEkTp8+fTB58mSR4j0xMRFTpkxB3759GSaTHJWVlViyZAl0dXWhqqoq3Me4cOFCBAUFMU5HCCGEECKKijwp1aRJE2RlZYmNR0dHw8jIiEEicb6+vpg3bx6mTJmC8vJyrF27Ft9//z22b9+OZcuWsY4nMbZt24YmTZqgY8eOUFBQgIKCAjp37ozGjRtj69atrONJhKVLlyI4OBh+fn6Ql5cXjrdp04aeQ0IIIYTwDhV5UuqXX37B9OnTcfnyZQgEAty/fx87d+7ErFmzMGXKFNbxAAA9evTA1atXUV5eDgsLC5w+fRra2tqIjY1Fhw4dWMeTGI0aNcLx48eRnp6Offv2Yd++fUhLS+PVwfd8Fxoaii1btsDBwQGysrLC8bZt2yI9PZ1hMkIIIYQQcXTomJTy9PREZWUl+vTpg5KSEvTs2RMKCgqYNWsWXFxcWMcTatGiBf7880/WMb4JLVu2RMuWLVnHkEh5eXkwNjYWG6+srMSbN28YJCKEEEIIqR0VeVJKIBBg/vz5mD17NrKyslBUVARzc3Ooqqqyjka+gJkzZ2LJkiVQUVHBzJkzP3hvQEBAHaWSXObm5rhw4QL09fVFxsPCwmBlZcUoFSGEEEJIzajIk3Ly8vIwNzdnHUOEjIzMR7tnCgSCGjtGkipXrlwRzjBduXKFcRrJt2jRIowfPx55eXmorKzEgQMHkJGRgdDQUBw9epR1PEIIIYQQEQKO4zjWIUjdKy0txfr16xEZGYnHjx+jsrJS5DrLYxQOHz5c67XY2FisW7cOlZWV1Mr+C3j58iXU1NRYx5AIFy5cgI+PD5KTk1FUVIT27dtj0aJF+P7771lHI4QQQggRQUWelHJwcMDp06fx448/onHjxmIzZ4sXL2aUrGYZGRnw9PREeHg4HBwc4OPjI7Z0johavXo13Nzcar3+8uVLDBgwADExMXWYihBCCCGEfG20XFNKHT16FMePH0f37t1ZR/mg+/fvY/HixQgJCUH//v1x9epVtGnThnUsiTBv3jw0bNgQjo6OYteKioowYMAAPH36lEEyyXP37l0IBAI0a9YMABAXF4e///4b5ubm+PXXXxmnI4QQQggRRUcoSCldXV1eL9N7/vw5PDw8YGxsjBs3biAiIgLh4eFU4P0LO3bswOTJk3HkyBGR8eLiYgwYMAD5+fmIjIxklE6yjBkzRvhcPXz4EH379kVcXBzmz58PHx8fxukIIYQQQkRRkSel/P394eHhgTt37rCOIsbPzw9GRkY4evQodu3ahYsXL8La2pp1LInz448/Yv369Rg9ejTOnTsH4G2B9+jRI5w7dw46OjpsQ0qIlJQUdO7cGQCwd+9eWFhY4OLFi9i5cyeCg4PZhiOEEEIIeQ8t15RSHTt2RGlpKYyMjKCsrAw5OTmR6wUFBYySVZ3hp6SkBGNjY4SEhCAkJKTG+w4cOFDHySTPpEmTUFBQgGHDhuHw4cNYtGgR7t+/j6ioKDRt2pR1PInx5s0bKCgoAADOnDkDOzs7AICpqSkePHjAMhohhBBCiBgq8qTU6NGjkZeXB19f3xobr7Dk6OjIqzySbs6cOSgoKECfPn1gYGCAc+fOCfeWkU/TunVrBAYGYvDgwfjnn3+wZMkSAFV7Rhs2bMg4HSGEEEKIKOquKaWUlZURGxuLtm3bso5CvhJ7e3uRx8ePH0fbtm2hq6srMk4zoh937tw5jBgxAi9evMD48eOxbds2AFXNbdLT0+k5JIQQQgiv0EyelDI1NcWrV69YxyBfUf369UUejx49mlESyWdjY4MnT57gxYsX0NTUFI7/+uuvUFZWZpiMEEIIIUQczeRJqdOnT8Pb2xvLli2DhYWF2J48dXV1RskIIYQQQgghn4OKPCklI1PVWPX9vW8cx0EgEKCiooJFLEJ4RVNTs8b9ofXr10fLli0xa9Ys9OvXj0EyQgghhJDa0XJNKUXnoxHycWvWrKlxvLCwEImJiRgyZAjCwsIwdOjQug1GCCGEEPIBNJNHCCH/UUBAAMLCwnDx4kXWUQghhBBChKjII4SQ/ygzMxNdunRheq4kIYQQQsj7ZFgHIIQQSfX69WvIy8uzjkEIIYQQIoKKPEII+Y+CgoLQrl071jEIIYQQQkRQ4xVCCKnFzJkzaxx//vw5kpKSkJmZifPnz9dxKkIIIYSQD6MiT0rZ2triwIED0NDQEBl/8eIFhg8fjrNnz7IJRgiPXLlypcZxdXV19OvXDwcOHIChoWEdpyKEEEII+TBqvCKlZGRk8PDhQ2hra4uMP378GLq6unjz5g2jZIQQQgghhJDPQTN5UubatWvC71NTU/Hw4UPh44qKCpw8eRK6urosohFCCCGEEEK+AJrJkzIyMjIQCAQAgJp+9EpKSli/fj2cnZ3rOhohhBBCCCHkC6AiT8rcuXMHHMfByMgIcXFxaNSokfCavLw8tLW1ISsryzAhIYQQQggh5HNQkUcIIYQQQggh3xA6J09KhYSE4NixY8LHc+bMgYaGBrp164Y7d+4wTEYIIYQQQgj5HFTkSSlfX18oKSkBAGJjY7Fhwwb4+flBS0sLbm5ujNMRQgghhBBC/itarimllJWVkZ6eDj09PXh4eODBgwcIDQ3FjRs3YGNjg/z8fNYRCSGEEEIIIf8BzeRJKVVVVTx9+hQAcPr0afTr1w8AoKioiFevXrGMRgghhBBCCPkMdE6elOrXrx8mTZoEKysrZGZmYtCgQQCAGzduwMDAgG04QgghhBBCyH9GM3lSauPGjejatSvy8/Oxf/9+NGzYEACQmJiI0aNHM05HCCGEEEII+a9oTx4hhBBCCCGEfENoJk+KXbhwAWPHjkW3bt2Ql5cHANixYweio6MZJyOEEEIIIYT8V1TkSan9+/ejf//+UFJSQlJSEl6/fg0AeP78OXx9fRmnI4QQQgghhPxXVORJqaVLlyIwMBB//vkn5OTkhOPdu3dHUlISw2SEEEIIIYSQz0FFnpTKyMhAz549xcbr16+PwsLCug9ECCGEEEII+SKoyJNSTZo0QVZWlth4dHQ0jIyMGCQihBBCCCGEfAlU5EmpX375BdOnT8fly5chEAhw//597Ny5E7NmzcKUKVNYxyOEEEIIIYT8R3QYupTy9PREZWUl+vTpg5KSEvTs2RMKCgqYNWsWXFxcWMcjhBBCCCGE/Ed0Tp4UqqioQExMDCwtLaGsrIysrCwUFRXB3NwcqqqqrOMRQgghhBBCPgMVeVJKUVERaWlpMDQ0ZB2FEEIIIYQQ8gXRnjwp1aZNG9y6dYt1DEIIIYQQQsgXRjN5UurkyZOYO3culixZgg4dOkBFRUXkurq6OqNkhBBCCCGEkM9BRZ6UkpF5O4krEAiE33McB4FAgIqKChaxCCGEEEIIIZ+JumtKqcjISNYRCCGEEEIIIV8BzeQRQgghhBBCyDeEZvKkXElJCXJzc1FWViYybmlpySgRIYQQQggh5HNQkSel8vPz4eTkhBMnTtR4nfbkEUIIIYQQIpnoCAUpNWPGDBQWFuLy5ctQUlLCyZMnERISAhMTExw5coR1PEIIIYQQQsh/RDN5Uurs2bM4fPgwOnbsCBkZGejr66Nfv35QV1fH8uXLMXjwYNYRCSGEEEIIIf8BzeRJqeLiYmhrawMANDU1kZ+fDwCwsLBAUlISy2iEEEIIIYSQz0BFnpRq1aoVMjIyAABt27bF5s2bkZeXh8DAQOjo6DBORwghhBBCCPmv6AgFKfXXX3+hvLwcEyZMQGJiIgYMGICCggLIy8sjODgYP//8M+uIhBBCCCGEkP+AijwCoOoohfT0dOjp6UFLS4t1HEIIIYQQQsh/REWelCsrK0NOTg5atGiBevWoDw8hhBBCCCGSjvbkSamSkhJMnDgRysrKaN26NXJzcwEALi4uWLFiBeN0hBBCCCGEkP+KijwpNXfuXCQnJ+PcuXNQVFQUjvft2xd79uxhmIwQQgghhBDyOWh9npQ6dOgQ9uzZgy5dukAgEAjHW7dujezsbIbJCCGEEEIIIZ+DZvKkVH5+vvCcvHcVFxeLFH2EEEIIIYQQyUJFnpTq2LEjjh07JnxcXdht3boVXbt2ZRWLEEIIIYQQ8plouaaU8vX1xcCBA5Gamory8nKsXbsWqampuHjxIqKioljHI4QQQgghhPxHNJMnpXr06IGrV6+ivLwcFhYWOH36NLS1tREbG4sOHTqwjkcIIYQQQgj5j+icPEIIIYQQQgj5htBMHiGEEEIIIYR8Q2hPnpSRkZH5aPdMgUCA8vLyOkpECCGEEEII+ZKoyJMyBw8erPVabGws1q1bh8rKyjpMRAghhBBCCPmSaE8eQUZGBjw9PREeHg4HBwf4+PhAX1+fdSxCCCGEEELIf0B78qTY/fv38csvv8DCwgLl5eW4evUqQkJCqMAjhBBCCCFEglGRJ4WeP38ODw8PGBsb48aNG4iIiEB4eDjatGnDOhohhBBCCCHkM9GePCnj5+eHlStXokmTJti1axeGDRvGOhIhhBBCCCHkC6I9eVJGRkYGSkpK6Nu3L2RlZWu978CBA3WYihBCCCGEEPKl0EyelHF0dPzoEQqEEEIIIYQQyUUzeYQQQgghhBDyDaHGK4QQQgghhBDyDaEijxBCCCGEEEK+IVTkEUIIIYQQQsg3hIo8QgghhBBCCPmGUJFHCCGEEEIIId8QKvIIIYQQQggh5BtCRR4hhBBCCCGEfEOoyCOEEEIIIYSQbwgVeYQQQgghhBDyDfk/zbgbch10c98AAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "msno.matrix(df)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365
        },
        "id": "58E4vwlFfVt6",
        "outputId": "a4fd3a47-0d21-4ba1-8c9b-07f8346a0ef2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2500x1000 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VmIPX98BfZvU",
        "outputId": "5a94b8b2-94d5-4c68-b6ce-3b8905d9bc2a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Street name                                0\n",
              "Nearest metro station distance (in km)     0\n",
              "Type of road                               0\n",
              "No. of Crime                              10\n",
              "Nearest police chowki (in km)              0\n",
              "Population Density                         1\n",
              "Rape                                      10\n",
              "Kidnapping & Abduction_Total              10\n",
              "Acid attack                               10\n",
              "Assault on Women                          10\n",
              "Sexual Harassment                         10\n",
              "Use of criminal force to women            31\n",
              "Stalking                                  10\n",
              "Other Assault on Women                     9\n",
              "Safety                                     0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['No. of Crime'].fillna(value = df['No. of Crime'].mean(), inplace = True)\n",
        "df['Rape'].fillna(value = df['Rape'].mean(), inplace = True)\n",
        "df['Population Density'].fillna(value = df['Population Density'].mean(), inplace = True)\n",
        "df['Kidnapping & Abduction_Total'].fillna(value = df['Kidnapping & Abduction_Total'].mean(), inplace = True)\n",
        "df['Acid attack'].fillna(value = df['Acid attack'].mean(), inplace = True)\n",
        "df['Assault on Women'].fillna(value = df['Assault on Women'].mean(), inplace = True)\n",
        "df['Sexual Harassment'].fillna(value = df['Sexual Harassment'].mean(), inplace = True)\n",
        "df['Use of criminal force to women'].fillna(value = df['Use of criminal force to women'].mean(), inplace = True)\n",
        "df['Stalking'].fillna(value = df['Stalking'].mean(), inplace = True)\n",
        "df['Other Assault on Women'].fillna(value = df['Other Assault on Women'].mean(), inplace = True)"
      ],
      "metadata": {
        "id": "TYIiFJaTfctD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qwPkMjcofgQl",
        "outputId": "f266e625-8587-4cd4-f002-f4869b34bd75"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Street name                               0\n",
              "Nearest metro station distance (in km)    0\n",
              "Type of road                              0\n",
              "No. of Crime                              0\n",
              "Nearest police chowki (in km)             0\n",
              "Population Density                        0\n",
              "Rape                                      0\n",
              "Kidnapping & Abduction_Total              0\n",
              "Acid attack                               0\n",
              "Assault on Women                          0\n",
              "Sexual Harassment                         0\n",
              "Use of criminal force to women            0\n",
              "Stalking                                  0\n",
              "Other Assault on Women                    0\n",
              "Safety                                    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "msno.matrix(df)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365
        },
        "id": "DLk9-7sZfi9x",
        "outputId": "d02815ec-2102-48fa-9f33-4f98f2cc0df4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2500x1000 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Modelling : Decision tree and Random forest Classifiers"
      ],
      "metadata": {
        "id": "rca0Cc1JgkHY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "models = [('DTC', DecisionTreeClassifier(max_depth=3)),\n",
        "          ('RF', RandomForestClassifier())]"
      ],
      "metadata": {
        "id": "2wDpobDtflpF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = df.iloc[:, 3:-1].values\n",
        "y = df.iloc[:, -1].values\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 0)"
      ],
      "metadata": {
        "id": "osqLcqEggvQl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(X)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ShA4Ib0fg0HF",
        "outputId": "c227e8cf-2699-4f79-f98c-3643a6ba024e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[8.570000e+02 2.500000e+00 5.823200e+05 ... 2.600000e+01 1.230000e+02\n",
            "  3.700000e+01]\n",
            " [2.005000e+03 1.740000e+01 2.292958e+06 ... 9.900000e+01 2.480000e+02\n",
            "  6.800000e+01]\n",
            " [2.008000e+03 2.700000e+00 2.292958e+06 ... 7.400000e+01 2.740000e+02\n",
            "  1.230000e+02]\n",
            " ...\n",
            " [8.570000e+02 1.000000e-01 5.823200e+05 ... 2.600000e+01 1.230000e+02\n",
            "  3.700000e+01]\n",
            " [2.005000e+03 7.000000e-01 2.292958e+06 ... 9.900000e+01 2.480000e+02\n",
            "  6.800000e+01]\n",
            " [2.005000e+03 1.100000e+00 2.292958e+06 ... 9.900000e+01 2.480000e+02\n",
            "  6.800000e+01]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(y)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yQ92EB9Xhdb3",
        "outputId": "ef7bff53-1c10-4992-8862-229d2a46d3ff"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[3 2 1 3 3 3 1 3 3 1 3 0 0 3 3 3 3 0 1 3 3 3 1 3 3 3 3 3 3 2 3 3 2 0 0 0 0\n",
            " 3 3 3 1 0 1 1 1 3 2 1 1 1 1 1 1 1 2 3 0 0 0 0 0 0 3 3 3 3 3 1 3 3 3 3 3 3\n",
            " 0 3 3 1 1 2 1 1 3 1 3 3 0 3 3 3 3 0 1 1 1 0 1 3 0 3 1 3 1 3 0 3 3 1 1 1 1\n",
            " 3 3 1 1 2 1 2 2 0 0 0 1 3 1 1 3 0 3 3 1 1 2 3 3 1 3 3 1 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(X_train)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MrP7mDU4jhdW",
        "outputId": "60219a46-1c70-410b-f3da-119deb18422e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[8.57000000e+02 4.00000000e-01 5.82320000e+05 ... 2.60000000e+01\n",
            "  1.23000000e+02 3.70000000e+01]\n",
            " [2.76200000e+03 5.20000000e+00 2.73192900e+06 ... 4.85412844e+01\n",
            "  4.06000000e+02 6.65000000e+02]\n",
            " [8.57000000e+02 7.50000000e-01 5.82320000e+05 ... 2.60000000e+01\n",
            "  1.23000000e+02 3.70000000e+01]\n",
            " ...\n",
            " [1.93000000e+02 5.70000000e+00 1.42004000e+05 ... 1.40000000e+01\n",
            "  1.50000000e+01 1.80000000e+01]\n",
            " [2.00500000e+03 8.80000000e+00 2.29295800e+06 ... 9.90000000e+01\n",
            "  2.48000000e+02 6.80000000e+01]\n",
            " [2.12200000e+03 4.00000000e+00 2.54324300e+06 ... 5.20000000e+01\n",
            "  2.23000000e+02 6.30000000e+01]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mgagdMUmjwj0",
        "outputId": "67e172f9-e251-4625-ff81-89114c6310dd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1 0 3 3 1 1 3 3 0 1 3 0 3 3 3 2 1 0 2 3 3 1 0 0 3 3 1 3 1 1 1 0 3 3 0 3 0\n",
            " 1 0 0 1 2 1 3 1 3 1 0 3 3 1 3 1 3 0 3 3 3 0 3 0 3 3 0 0 3 2 3 3 3 3 2 1 1\n",
            " 3 3 3 1 2 3 1 1 2 3 1 3 1 3 3 1 1 2 2 3 0 3 3 3 0 3 1 3 1 2 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fCTe2GAcj88w",
        "outputId": "4397457e-cdcd-4c15-f724-bbbe2d6afe47"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[3 0 3 1 1 3 1 3 1 3 3 3 3 3 3 3 0 1 0 0 3 1 1 3 1 1 3 3 1 3 0 1 1 1 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Feature Scaling"
      ],
      "metadata": {
        "id": "CPrDBQi8kCUX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "sc = StandardScaler()\n",
        "X_train = sc.fit_transform(X_train)\n",
        "X_test = sc.transform(X_test)"
      ],
      "metadata": {
        "id": "JlG7ziG7kAVc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(X_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XtsRk2LVkF-w",
        "outputId": "a81988cd-7a3c-46fe-e064-de7f9157bb3f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[-0.92116506 -0.25060267 -0.92702489 ... -0.79490726 -0.81080762\n",
            "  -0.53501188]\n",
            " [ 1.63137274 -0.21190707  1.17695208 ...  0.05064427  1.91211219\n",
            "   2.18021257]\n",
            " [-0.92116506 -0.24778112 -0.92702489 ... -0.79490726 -0.81080762\n",
            "  -0.53501188]\n",
            " ...\n",
            " [-1.81086852 -0.20787628 -1.35799384 ... -1.24504214 -1.8499431\n",
            "  -0.61716039]\n",
            " [ 0.6170572  -0.18288538  0.74729959 ...  1.94341326  0.39189547\n",
            "  -0.4009801 ]\n",
            " [ 0.77382723 -0.22158097  0.99227152 ...  0.18038498  0.15135485\n",
            "  -0.42259813]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(X_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vz_9lxr6nAAB",
        "outputId": "4b91848d-fb48-4fdf-a293-01523a43d287"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[ 4.88425370e-01 -2.31254873e-01  1.76076536e-01  7.91112262e-01\n",
            "   8.95132988e-01  5.35235578e-01  2.16215344e+00  3.93362228e-01\n",
            "   1.64332334e+00 -6.18375129e-01 -2.02094231e-01]\n",
            " [ 1.63137274e+00 -2.30448715e-01  1.17695208e+00  1.41603890e+00\n",
            "   6.45160134e-01  1.47919153e+00  1.62443732e+00  5.40131154e-01\n",
            "   5.06442708e-02  1.91211219e+00  2.18021257e+00]\n",
            " [-9.21165056e-01 -2.48587276e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [ 6.17057196e-01 -2.07876283e-01  7.47299586e-01  8.41106394e-01\n",
            "   1.09609156e+00  8.39328769e-01 -1.43165863e-02  1.42074471e+00\n",
            "   1.94341326e+00  3.91895474e-01 -4.00980099e-01]\n",
            " [ 6.17057196e-01 -2.50602672e-01  7.47299586e-01  8.41106394e-01\n",
            "   1.09609156e+00  8.39328769e-01 -1.43165863e-02  1.42074471e+00\n",
            "   1.94341326e+00  3.91895474e-01 -4.00980099e-01]\n",
            " [-9.21165056e-01 -2.50602672e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [ 6.17057196e-01 -2.44153406e-01  7.47299586e-01  8.41106394e-01\n",
            "   1.09609156e+00  8.39328769e-01 -1.43165863e-02  1.42074471e+00\n",
            "   1.94341326e+00  3.91895474e-01 -4.00980099e-01]\n",
            " [-9.21165056e-01 -2.53021147e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [ 6.17057196e-01 -2.47378039e-01  7.47299586e-01  8.41106394e-01\n",
            "   1.09609156e+00  8.39328769e-01 -1.43165863e-02  1.42074471e+00\n",
            "   1.94341326e+00  3.91895474e-01 -4.00980099e-01]\n",
            " [-7.27097678e-03 -9.17894896e-02  1.42179706e-01  3.51240820e-03\n",
            "   3.56486462e-02 -8.26138402e-04 -5.65009931e-03  2.49345891e-02\n",
            "   5.06442708e-02 -2.87175542e-02 -5.89201700e-02]\n",
            " [-9.21165056e-01 -2.53383918e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [-9.21165056e-01 -2.33673348e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [-9.21165056e-01 -2.48184197e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [-9.21165056e-01 -2.40122614e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [-9.21165056e-01 -2.44959564e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [-9.21165056e-01 -2.52214989e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [-1.11009305e+00 -1.97396225e-01 -6.27855417e-01 -1.33363832e+00\n",
            "  -1.06053699e+00 -1.14994753e+00 -1.14095990e+00 -7.80789185e-01\n",
            "  -1.17001966e+00 -9.45510371e-01 -6.17160389e-01]\n",
            " [ 7.73827233e-01 -2.53343610e-01  9.92271522e-01  1.05358145e+00\n",
            "   1.72837584e+00  7.75976021e-01  1.29156543e+00  1.76320554e+00\n",
            "   1.80384981e-01  1.51354854e-01 -4.22598128e-01]\n",
            " [ 6.17057196e-01  4.58312241e+00  7.47299586e-01  8.41106394e-01\n",
            "   1.09609156e+00  8.39328769e-01 -1.43165863e-02  1.42074471e+00\n",
            "   1.94341326e+00  3.91895474e-01 -4.00980099e-01]\n",
            " [ 1.63137274e+00 -2.36091823e-01  1.17695208e+00  1.41603890e+00\n",
            "   6.45160134e-01  1.47919153e+00  1.62443732e+00  5.40131154e-01\n",
            "   5.06442708e-02  1.91211219e+00  2.18021257e+00]\n",
            " [-9.21165056e-01 -2.48184197e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [ 6.17057196e-01 -2.47442532e-01  7.47299586e-01  8.41106394e-01\n",
            "   1.09609156e+00  8.39328769e-01 -1.43165863e-02  1.42074471e+00\n",
            "   1.94341326e+00  3.91895474e-01 -4.00980099e-01]\n",
            " [-7.27097678e-03 -2.29642557e-01 -1.38344582e+00  3.51240820e-03\n",
            "   3.56486462e-02 -8.26138402e-04 -5.65009931e-03  2.49345891e-02\n",
            "   5.06442708e-02 -2.87175542e-02 -6.94985294e-01]\n",
            " [-9.21165056e-01 -2.42541089e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [ 6.21076940e-01 -2.32061031e-01  7.47299586e-01  1.24105944e+00\n",
            "   9.19640131e-01  6.80946899e-01 -3.99221161e-02  2.95516277e-01\n",
            "   1.00563226e+00  6.42057718e-01 -1.63181779e-01]\n",
            " [-1.81086852e+00 -2.08682441e-01 -1.35799384e+00 -1.83357963e+00\n",
            "  -2.21237269e+00 -1.93552160e+00 -1.57625390e+00 -1.31894192e+00\n",
            "  -1.24504214e+00 -1.84994310e+00 -6.17160389e-01]\n",
            " [-9.21165056e-01 -2.40122614e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [-9.21165056e-01 -2.48184197e-01 -9.27024891e-01 -9.46183803e-01\n",
            "  -9.33099848e-01 -9.47218732e-01 -8.33693539e-01 -9.27558111e-01\n",
            "  -7.94907256e-01 -8.10807624e-01 -5.35011879e-01]\n",
            " [ 1.86944528e-01 -2.21580974e-01  2.08193441e+00 -2.12923724e-02\n",
            "   8.21611560e-01  2.69154035e-01  5.74610598e-01 -2.42636454e-01\n",
            "   5.17986140e-01  7.03048246e-03 -4.74481397e-01]\n",
            " [ 1.03109089e+00  1.08943924e-01  6.97055307e-01  8.78601992e-01\n",
            "   2.70376011e+00  8.26658220e-01  2.16215344e+00  8.82591983e-01\n",
            "  -7.17121825e-03  1.60976479e-01 -4.78805003e-01]\n",
            " [ 1.63137274e+00 -2.39316456e-01  1.17695208e+00  1.41603890e+00\n",
            "   6.45160134e-01  1.47919153e+00  1.62443732e+00  5.40131154e-01\n",
            "   5.06442708e-02  1.91211219e+00  2.18021257e+00]\n",
            " [ 1.86944528e-01 -1.95783909e-01  2.08193441e+00 -2.12923724e-02\n",
            "   8.21611560e-01  2.69154035e-01  5.74610598e-01 -2.42636454e-01\n",
            "   5.17986140e-01  7.03048246e-03 -4.74481397e-01]\n",
            " [ 6.17057196e-01 -2.44451684e-01  7.47299586e-01  8.41106394e-01\n",
            "   1.09609156e+00  8.39328769e-01 -1.43165863e-02  1.42074471e+00\n",
            "   1.94341326e+00  3.91895474e-01 -4.00980099e-01]\n",
            " [ 7.73827233e-01 -2.46974960e-01  9.92271522e-01  1.05358145e+00\n",
            "   1.72837584e+00  7.75976021e-01  1.29156543e+00  1.76320554e+00\n",
            "   1.80384981e-01  1.51354854e-01 -4.22598128e-01]\n",
            " [ 6.17057196e-01 -2.44153406e-01  7.47299586e-01  8.41106394e-01\n",
            "   1.09609156e+00  8.39328769e-01 -1.43165863e-02  1.42074471e+00\n",
            "   1.94341326e+00  3.91895474e-01 -4.00980099e-01]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "R9zn1NhToaIx"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}