Classifier : End_to_End_Classification_model_Analysis.ipynb

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      "name": "01: End_to_End_ML_Model_facies_Classification.ipynb",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/gulabpatel/ML_Algos/blob/main/01%3A%20End_to_End_ML_Model_facies_Classification.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eZUlB6p2z0Dy"
      },
      "source": [
        "## Practical Machine Learning Tutorial, Multi-class Classification Problem: Geoscience example (Facies)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vb5pGTUiz0D1"
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      "source": [
        "In this notebook, we will implement standard and comprehensive steps to select the best model and hyperparameters to predict rock facies from a dataset. First, we will prepare data for modeling, fit the models and cross-validate, predict facies labels, and evaluate prediction accuracy by several model evaluation metrics. Finally, we will examine model performance on blind-well data. These are the models that we will use:<br>\n",
        "1 - Logistic Regression Classifier <br>\n",
        "2 - K Neighbors Classifier<br>\n",
        "3 - Decision Tree Classifier<br>\n",
        "4 - Random Forest Classifier<br>\n",
        "5 - Support Vector Classifier<br>\n",
        "6 - Gaussian Naive Bayes Classifier<br>\n",
        "7 - Gradient Boosting Classifier<br>\n",
        "8 - Extra Tree Classifier<br>\n",
        "\n",
        "The dataset for this study comes from Hugoton and Panoma Fields in North America which was used as class exercise at The University of Kansas (Dubois et. al, 2007). It consists of log data(the measurement of physical properties of rocks) of nine wells.\n",
        "\n",
        "The nine discrete facies (classes of rocks) are:<br>\n",
        "(SS) Nonmarine sandstone<br>\n",
        "(CSiS) Nonmarine coarse siltstone<br>\n",
        "(FSiS) Nonmarine fine siltstone<br>\n",
        "(SiSH) Marine siltstone and shale<br>\n",
        "(MS) Mudstone (limestone)<br>\n",
        "(WS) Wackestone (limestone)<br>\n",
        "(D) Dolomite<br>\n",
        "(PS) Packstone-grainstone (limestone)<br>\n",
        "(BS) Phylloid-algal bafflestone (limestone)<br>\n",
        "For more detailand data explanation refer [here](https://github.com/mardani72/Facies-Classification-Machine-Learning/blob/master/Facies_Classification_Various_ML_Final.ipynb). <br>\n",
        "The contents are:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q-gBj273z0D3"
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      "source": [
        "#### __1- Exploratory Data Analysis__\n",
        "> 1-1 Data visualization \n",
        ">> 1-1-1 log-plot<br>\n",
        ">> 1-1-2 Bar plot<br>\n",
        ">> 1-1-3 Cross-plot<br>\n",
        "\n",
        "> 1-2 Feature Engineering<br> \n",
        ">> 1-2-1 NaN imputation<br>\n",
        ">> 1-2-2 Feature extraction<br>\n",
        ">> 1-2-3 Oversampling<br>\n",
        "\n",
        "> 1-3 Feature Importance<br> \n",
        ">> 1-3-1 Feature linear corrolation<br>\n",
        ">> 1-3-2 Decision tree<br>\n",
        ">> 1-3-3 Permutation feature importance<br>\n",
        "\n",
        "#### __2- Build Model & Validate__\n",
        "> 2-1 Baseline Model<br> \n",
        "> 2-2 Hyper-parameters\n",
        ">> 2-2-1 Grid search<br>\n",
        "\n",
        "#### __3- Model Evaluation-1__\n",
        "> 3-1 Model Merices <br>\n",
        "> 3-2 Confusion matrix <br>\n",
        "\n",
        "#### __4- Model Evaluation-2__\n",
        "> 4-1 Learning curves<br> \n",
        "> 4-2 ROC plot<br> \n",
        "> 4-3 Blind well prediction and evaluation<br> "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KWTwlsFQz0D4"
      },
      "source": [
        "import pandas as pd\n",
        "import matplotlib.colors as colors\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from collections import Counter\n",
        "pd.set_option('display.max_rows', 30)\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "from sklearn.metrics import accuracy_score"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EYfsXyLyz0EV",
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          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "outputId": "14f12336-e953-49ff-f4f2-52a108126064"
      },
      "source": [
        "df = pd.read_csv('/content/facies_vectors.csv')\n",
        "df.head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Facies</th>\n",
              "      <th>Formation</th>\n",
              "      <th>Well Name</th>\n",
              "      <th>Depth</th>\n",
              "      <th>GR</th>\n",
              "      <th>ILD_log10</th>\n",
              "      <th>DeltaPHI</th>\n",
              "      <th>PHIND</th>\n",
              "      <th>PE</th>\n",
              "      <th>NM_M</th>\n",
              "      <th>RELPOS</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2793.0</td>\n",
              "      <td>77.45</td>\n",
              "      <td>0.664</td>\n",
              "      <td>9.9</td>\n",
              "      <td>11.915</td>\n",
              "      <td>4.6</td>\n",
              "      <td>1</td>\n",
              "      <td>1.000</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2793.5</td>\n",
              "      <td>78.26</td>\n",
              "      <td>0.661</td>\n",
              "      <td>14.2</td>\n",
              "      <td>12.565</td>\n",
              "      <td>4.1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.979</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2794.0</td>\n",
              "      <td>79.05</td>\n",
              "      <td>0.658</td>\n",
              "      <td>14.8</td>\n",
              "      <td>13.050</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1</td>\n",
              "      <td>0.957</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2794.5</td>\n",
              "      <td>86.10</td>\n",
              "      <td>0.655</td>\n",
              "      <td>13.9</td>\n",
              "      <td>13.115</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1</td>\n",
              "      <td>0.936</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2795.0</td>\n",
              "      <td>74.58</td>\n",
              "      <td>0.647</td>\n",
              "      <td>13.5</td>\n",
              "      <td>13.300</td>\n",
              "      <td>3.4</td>\n",
              "      <td>1</td>\n",
              "      <td>0.915</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2795.5</td>\n",
              "      <td>73.97</td>\n",
              "      <td>0.636</td>\n",
              "      <td>14.0</td>\n",
              "      <td>13.385</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1</td>\n",
              "      <td>0.894</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2796.0</td>\n",
              "      <td>73.72</td>\n",
              "      <td>0.630</td>\n",
              "      <td>15.6</td>\n",
              "      <td>13.930</td>\n",
              "      <td>3.7</td>\n",
              "      <td>1</td>\n",
              "      <td>0.872</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2796.5</td>\n",
              "      <td>75.65</td>\n",
              "      <td>0.625</td>\n",
              "      <td>16.5</td>\n",
              "      <td>13.920</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1</td>\n",
              "      <td>0.830</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2797.0</td>\n",
              "      <td>73.79</td>\n",
              "      <td>0.624</td>\n",
              "      <td>16.2</td>\n",
              "      <td>13.980</td>\n",
              "      <td>3.4</td>\n",
              "      <td>1</td>\n",
              "      <td>0.809</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2797.5</td>\n",
              "      <td>76.89</td>\n",
              "      <td>0.615</td>\n",
              "      <td>16.9</td>\n",
              "      <td>14.220</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1</td>\n",
              "      <td>0.787</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            "text/plain": [
              "   Facies Formation  Well Name   Depth  ...   PHIND   PE  NM_M  RELPOS\n",
              "0       3     A1 SH  SHRIMPLIN  2793.0  ...  11.915  4.6     1   1.000\n",
              "1       3     A1 SH  SHRIMPLIN  2793.5  ...  12.565  4.1     1   0.979\n",
              "2       3     A1 SH  SHRIMPLIN  2794.0  ...  13.050  3.6     1   0.957\n",
              "3       3     A1 SH  SHRIMPLIN  2794.5  ...  13.115  3.5     1   0.936\n",
              "4       3     A1 SH  SHRIMPLIN  2795.0  ...  13.300  3.4     1   0.915\n",
              "5       3     A1 SH  SHRIMPLIN  2795.5  ...  13.385  3.6     1   0.894\n",
              "6       3     A1 SH  SHRIMPLIN  2796.0  ...  13.930  3.7     1   0.872\n",
              "7       3     A1 SH  SHRIMPLIN  2796.5  ...  13.920  3.5     1   0.830\n",
              "8       3     A1 SH  SHRIMPLIN  2797.0  ...  13.980  3.4     1   0.809\n",
              "9       3     A1 SH  SHRIMPLIN  2797.5  ...  14.220  3.5     1   0.787\n",
              "\n",
              "[10 rows x 11 columns]"
            ]
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          "height": 317
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        "outputId": "583ef7cd-602a-4884-c9fd-7f17807d38ed"
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      "source": [
        "df.describe()"
      ],
      "execution_count": null,
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Facies</th>\n",
              "      <th>Depth</th>\n",
              "      <th>GR</th>\n",
              "      <th>ILD_log10</th>\n",
              "      <th>DeltaPHI</th>\n",
              "      <th>PHIND</th>\n",
              "      <th>PE</th>\n",
              "      <th>NM_M</th>\n",
              "      <th>RELPOS</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>4149.000000</td>\n",
              "      <td>4149.000000</td>\n",
              "      <td>4149.000000</td>\n",
              "      <td>4149.000000</td>\n",
              "      <td>4149.000000</td>\n",
              "      <td>4149.000000</td>\n",
              "      <td>3232.000000</td>\n",
              "      <td>4149.000000</td>\n",
              "      <td>4149.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>4.503254</td>\n",
              "      <td>2906.867438</td>\n",
              "      <td>64.933985</td>\n",
              "      <td>0.659566</td>\n",
              "      <td>4.402484</td>\n",
              "      <td>13.201066</td>\n",
              "      <td>3.725014</td>\n",
              "      <td>1.518438</td>\n",
              "      <td>0.521852</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>2.474324</td>\n",
              "      <td>133.300164</td>\n",
              "      <td>30.302530</td>\n",
              "      <td>0.252703</td>\n",
              "      <td>5.274947</td>\n",
              "      <td>7.132846</td>\n",
              "      <td>0.896152</td>\n",
              "      <td>0.499720</td>\n",
              "      <td>0.286644</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>2573.500000</td>\n",
              "      <td>10.149000</td>\n",
              "      <td>-0.025949</td>\n",
              "      <td>-21.832000</td>\n",
              "      <td>0.550000</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2.000000</td>\n",
              "      <td>2821.500000</td>\n",
              "      <td>44.730000</td>\n",
              "      <td>0.498000</td>\n",
              "      <td>1.600000</td>\n",
              "      <td>8.500000</td>\n",
              "      <td>3.100000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.277000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>4.000000</td>\n",
              "      <td>2932.500000</td>\n",
              "      <td>64.990000</td>\n",
              "      <td>0.639000</td>\n",
              "      <td>4.300000</td>\n",
              "      <td>12.020000</td>\n",
              "      <td>3.551500</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.528000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>6.000000</td>\n",
              "      <td>3007.000000</td>\n",
              "      <td>79.438000</td>\n",
              "      <td>0.822000</td>\n",
              "      <td>7.500000</td>\n",
              "      <td>16.050000</td>\n",
              "      <td>4.300000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.769000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>9.000000</td>\n",
              "      <td>3138.000000</td>\n",
              "      <td>361.150000</td>\n",
              "      <td>1.800000</td>\n",
              "      <td>19.312000</td>\n",
              "      <td>84.400000</td>\n",
              "      <td>8.094000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Facies        Depth  ...         NM_M       RELPOS\n",
              "count  4149.000000  4149.000000  ...  4149.000000  4149.000000\n",
              "mean      4.503254  2906.867438  ...     1.518438     0.521852\n",
              "std       2.474324   133.300164  ...     0.499720     0.286644\n",
              "min       1.000000  2573.500000  ...     1.000000     0.000000\n",
              "25%       2.000000  2821.500000  ...     1.000000     0.277000\n",
              "50%       4.000000  2932.500000  ...     2.000000     0.528000\n",
              "75%       6.000000  3007.000000  ...     2.000000     0.769000\n",
              "max       9.000000  3138.000000  ...     2.000000     1.000000\n",
              "\n",
              "[8 rows x 9 columns]"
            ]
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          "metadata": {
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          "execution_count": 4
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      "source": [
        "df.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 4149 entries, 0 to 4148\n",
            "Data columns (total 11 columns):\n",
            " #   Column     Non-Null Count  Dtype  \n",
            "---  ------     --------------  -----  \n",
            " 0   Facies     4149 non-null   int64  \n",
            " 1   Formation  4149 non-null   object \n",
            " 2   Well Name  4149 non-null   object \n",
            " 3   Depth      4149 non-null   float64\n",
            " 4   GR         4149 non-null   float64\n",
            " 5   ILD_log10  4149 non-null   float64\n",
            " 6   DeltaPHI   4149 non-null   float64\n",
            " 7   PHIND      4149 non-null   float64\n",
            " 8   PE         3232 non-null   float64\n",
            " 9   NM_M       4149 non-null   int64  \n",
            " 10  RELPOS     4149 non-null   float64\n",
            "dtypes: float64(7), int64(2), object(2)\n",
            "memory usage: 356.7+ KB\n"
          ],
          "name": "stdout"
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    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JaWyh3E2z0Ec"
      },
      "source": [
        "# specify some data types may python concern about\n",
        "df['Facies'] = df['Facies'].astype('int')\n",
        "df['Depth'] = df['Depth'].astype('float')\n",
        "df['Well Name'] = df['Well Name'].astype('category')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9cnUAB_wz0Ep"
      },
      "source": [
        "### 1-1 Data visualization \n",
        "#### 1-1-1 log-plot"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KUuMB1oZz0Eq",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        },
        "outputId": "71477c2d-e430-4cd2-a215-089647eecf23"
      },
      "source": [
        "# colors \n",
        "facies_colors = ['xkcd:goldenrod', 'xkcd:orange','xkcd:sienna','xkcd:violet',\n",
        "       'xkcd:olive','xkcd:turquoise', \"xkcd:yellowgreen\", 'xkcd:indigo', 'xkcd:blue']\n",
        "\n",
        "facies_labels = ['SS', 'CSiS', 'FSiS', 'SiSh', \n",
        "                 'MS',  'WS', 'D','PS', 'BS']\n",
        "#facies_color_map is a dictionary that maps facies labels to their respective colors\n",
        "facies_color_map = {}\n",
        "for ind, label in enumerate(facies_labels):\n",
        "    facies_color_map[label] = facies_colors[ind]\n",
        "facies_color_map "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'BS': 'xkcd:blue',\n",
              " 'CSiS': 'xkcd:orange',\n",
              " 'D': 'xkcd:yellowgreen',\n",
              " 'FSiS': 'xkcd:sienna',\n",
              " 'MS': 'xkcd:olive',\n",
              " 'PS': 'xkcd:indigo',\n",
              " 'SS': 'xkcd:goldenrod',\n",
              " 'SiSh': 'xkcd:violet',\n",
              " 'WS': 'xkcd:turquoise'}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iN93VOpzcg0U"
      },
      "source": [
        "def label_facies(row, labels):\n",
        "    return labels[ row['Facies'] -1]\n",
        "#establish facies label str    \n",
        "df.loc[:,'FaciesLabels'] = df.apply(lambda row: label_facies(row, facies_labels), axis=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qCgtSHjCc74c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "7733484d-ef70-4e12-94b0-2d0f95fbe2e5"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Facies</th>\n",
              "      <th>Formation</th>\n",
              "      <th>Well Name</th>\n",
              "      <th>Depth</th>\n",
              "      <th>GR</th>\n",
              "      <th>ILD_log10</th>\n",
              "      <th>DeltaPHI</th>\n",
              "      <th>PHIND</th>\n",
              "      <th>PE</th>\n",
              "      <th>NM_M</th>\n",
              "      <th>RELPOS</th>\n",
              "      <th>FaciesLabels</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2793.0</td>\n",
              "      <td>77.45</td>\n",
              "      <td>0.664</td>\n",
              "      <td>9.9</td>\n",
              "      <td>11.915</td>\n",
              "      <td>4.6</td>\n",
              "      <td>1</td>\n",
              "      <td>1.000</td>\n",
              "      <td>FSiS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2793.5</td>\n",
              "      <td>78.26</td>\n",
              "      <td>0.661</td>\n",
              "      <td>14.2</td>\n",
              "      <td>12.565</td>\n",
              "      <td>4.1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.979</td>\n",
              "      <td>FSiS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2794.0</td>\n",
              "      <td>79.05</td>\n",
              "      <td>0.658</td>\n",
              "      <td>14.8</td>\n",
              "      <td>13.050</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1</td>\n",
              "      <td>0.957</td>\n",
              "      <td>FSiS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2794.5</td>\n",
              "      <td>86.10</td>\n",
              "      <td>0.655</td>\n",
              "      <td>13.9</td>\n",
              "      <td>13.115</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1</td>\n",
              "      <td>0.936</td>\n",
              "      <td>FSiS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3</td>\n",
              "      <td>A1 SH</td>\n",
              "      <td>SHRIMPLIN</td>\n",
              "      <td>2795.0</td>\n",
              "      <td>74.58</td>\n",
              "      <td>0.647</td>\n",
              "      <td>13.5</td>\n",
              "      <td>13.300</td>\n",
              "      <td>3.4</td>\n",
              "      <td>1</td>\n",
              "      <td>0.915</td>\n",
              "      <td>FSiS</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Facies Formation  Well Name   Depth  ...   PE  NM_M  RELPOS  FaciesLabels\n",
              "0       3     A1 SH  SHRIMPLIN  2793.0  ...  4.6     1   1.000          FSiS\n",
              "1       3     A1 SH  SHRIMPLIN  2793.5  ...  4.1     1   0.979          FSiS\n",
              "2       3     A1 SH  SHRIMPLIN  2794.0  ...  3.6     1   0.957          FSiS\n",
              "3       3     A1 SH  SHRIMPLIN  2794.5  ...  3.5     1   0.936          FSiS\n",
              "4       3     A1 SH  SHRIMPLIN  2795.0  ...  3.4     1   0.915          FSiS\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VoReKjK5z0E0"
      },
      "source": [
        "data=df"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EvBa_lL4z0E7"
      },
      "source": [
        "This is function to create a plot."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rhEfTtf3z0E9"
      },
      "source": [
        "def make_facies_log_plot(logs, facies_colors):\n",
        "    #make sure logs are sorted by depth\n",
        "    logs = logs.sort_values(by='Depth')\n",
        "    cmap_facies = colors.ListedColormap(\n",
        "            facies_colors[0:len(facies_colors)], 'indexed')\n",
        "    \n",
        "    ztop=logs.Depth.min(); zbot=logs.Depth.max()\n",
        "    \n",
        "    cluster=np.repeat(np.expand_dims(logs['Facies'].values,1), 100, 1)\n",
        "    \n",
        "    f, ax = plt.subplots(nrows=1, ncols=6, figsize=(12, 6))\n",
        "    ax[0].plot(logs.GR, logs.Depth, '-g',  alpha=0.8, lw = 0.9)\n",
        "    ax[1].plot(logs.ILD_log10, logs.Depth, '-b',  alpha=0.8, lw = 0.9)\n",
        "    ax[2].plot(logs.DeltaPHI, logs.Depth, '-k',  alpha=0.8, lw = 0.9)\n",
        "    ax[3].plot(logs.PHIND, logs.Depth, '-r',  alpha=0.8, lw = 0.9)\n",
        "    ax[4].plot(logs.PE, logs.Depth, '-c',  alpha=0.8, lw = 0.9)\n",
        "    im=ax[5].imshow(cluster, interpolation='none', aspect='auto',\n",
        "                    cmap=cmap_facies,vmin=1,vmax=9)\n",
        "    \n",
        "    divider = make_axes_locatable(ax[5])\n",
        "    cax = divider.append_axes(\"right\", size=\"20%\", pad=0.05)\n",
        "    cbar=plt.colorbar(im, cax=cax)\n",
        "    cbar.set_label((5*' ').join([' SS ', 'CSiS', 'FSiS', \n",
        "                                'SiSh', ' MS ', ' WS ', ' D  ', \n",
        "                                ' PS ', ' BS ']))\n",
        "    cbar.set_ticks(range(0,1)); cbar.set_ticklabels('')\n",
        "    \n",
        "    for i in range(len(ax)-1):\n",
        "        ax[i].set_ylim(ztop,zbot)\n",
        "        ax[i].invert_yaxis()\n",
        "        ax[i].grid()\n",
        "        ax[i].locator_params(axis='x', nbins=3)\n",
        "    \n",
        "    ax[0].set_xlabel(\"GR\")\n",
        "    ax[0].set_xlim(logs.GR.min(),logs.GR.max())\n",
        "    ax[1].set_xlabel(\"ILD_log10\")\n",
        "    ax[1].set_xlim(logs.ILD_log10.min(),logs.ILD_log10.max())\n",
        "    ax[2].set_xlabel(\"DeltaPHI\")\n",
        "    ax[2].set_xlim(logs.DeltaPHI.min(),logs.DeltaPHI.max())\n",
        "    ax[3].set_xlabel(\"PHIND\")\n",
        "    ax[3].set_xlim(logs.PHIND.min(),logs.PHIND.max())\n",
        "    ax[4].set_xlabel(\"PE\")\n",
        "    ax[4].set_xlim(logs.PE.min(),logs.PE.max())\n",
        "    ax[5].set_xlabel('Facies')\n",
        "    \n",
        "    ax[1].set_yticklabels([]); ax[2].set_yticklabels([]); ax[3].set_yticklabels([])\n",
        "    ax[4].set_yticklabels([]); ax[5].set_yticklabels([])\n",
        "    ax[5].set_xticklabels([])\n",
        "    f.suptitle('Well: %s'%logs.iloc[0]['Well Name'], fontsize=14,y=0.94)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BH--352Sz0Fn",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "outputId": "a922198b-4686-408f-ce45-0a8a9c25daa5"
      },
      "source": [
        "data['Well Name'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['SHRIMPLIN', 'ALEXANDER D', 'SHANKLE', 'LUKE G U', 'KIMZEY A', 'CROSS H CATTLE', 'NOLAN', 'Recruit F9', 'NEWBY', 'CHURCHMAN BIBLE']\n",
              "Categories (10, object): ['SHRIMPLIN', 'ALEXANDER D', 'SHANKLE', 'LUKE G U', ..., 'NOLAN',\n",
              "                          'Recruit F9', 'NEWBY', 'CHURCHMAN BIBLE']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DLGlHQJ3z0Fx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "outputId": "68c6bcdb-5a64-48a2-a7a2-b31497499bfe"
      },
      "source": [
        "make_facies_log_plot(\n",
        "    data[data['Well Name'] == 'SHRIMPLIN'],\n",
        "    facies_colors)\n",
        "# plt.savefig(\"Well_example.png\", dpi=400)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 7 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c17tA4wxz0Gx"
      },
      "source": [
        "#### 1-1-2 Histogram"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aMPMj7qBz0Gy"
      },
      "source": [
        "Let's facies percentages first:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U1bSyBUHz0G0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        },
        "outputId": "69f4bca9-71ca-490c-eace-f04e107e5bad"
      },
      "source": [
        "cn = Counter(data.FaciesLabels)\n",
        "for i,j in cn.items():\n",
        "    percent = j / len(data) * 100\n",
        "    print('Class=%s, Count=%d, Percentage=%.3f%%' % (i, j, percent))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Class=FSiS, Count=780, Percentage=18.800%\n",
            "Class=CSiS, Count=940, Percentage=22.656%\n",
            "Class=PS, Count=686, Percentage=16.534%\n",
            "Class=WS, Count=582, Percentage=14.027%\n",
            "Class=D, Count=141, Percentage=3.398%\n",
            "Class=SiSh, Count=271, Percentage=6.532%\n",
            "Class=MS, Count=296, Percentage=7.134%\n",
            "Class=BS, Count=185, Percentage=4.459%\n",
            "Class=SS, Count=268, Percentage=6.459%\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kuP99ztXz0H-",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "outputId": "f324e884-f3e0-40c2-9a84-1a13bff72f94"
      },
      "source": [
        "plt.bar(cn.keys(), cn.values(), color=facies_colors )\n",
        "plt.title('Facies Distribution')\n",
        "plt.ylabel('Frequency')\n",
        "# plt.savefig(\"bar_plot.png\", dpi=400)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Frequency')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nxW7r4Uoz0IE"
      },
      "source": [
        "This is imbalanced dataset. Dolomite has the lowest member participation. Comparing coarse siltstone, dolomite appears 8 times less than that."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8rC15XXQz0IG"
      },
      "source": [
        "#### 1-1-3 Cross-plot"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kqreL_uLz0IH",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 797
        },
        "outputId": "b53b7261-c981-4e63-f095-a7ed2209ce79"
      },
      "source": [
        "sns_plot = sns.pairplot(data.drop(['Well Name','Facies','Formation','Depth','NM_M','RELPOS'],axis=1),\n",
        "             hue='FaciesLabels', palette=facies_color_map,\n",
        "             hue_order=list(reversed(facies_labels)))\n",
        "sns_plot.savefig('cross_plots.png')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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4OokmElxRWotVGSg2W/l6zXSm2KQ/sRCZlm+28OspCzkzvxSAaQ4335owi1817wQgpjVbgt5sZlGIPiM60Na4Exs80Jay5qB90o9JHH0KhhgwY6LNicNgospq4Z76+Xy5Zhp2g5HS/eYMFeJo4jSaqLU52BAY/KCnUFxbPomzC8qJ6QRVVgcGGX0148osNr60cy3THW5uqqwnEI+zwtvNZyonZztrQowLM525/Hn6YnaF/NzbtJ2v7FxLWPf38c+T0eDFKCE1xZm0f/Npmxvtb89efoQYZr2dAZp2djPbmsOx7vy+dJNS/GDSnL5g2WwwMMHmPKSAWCc0PVtjNL8ewbMj9v47CDEK5Jst/GjSXEwDAt5F7nwWpM6PCqsdZ4+mtaGXaDTZ1863N07z6xG6NkSJR6V/3XA6zl3ILEcOGwNefrx3Cw+27OSWqikYu420Lo/QsSpK1Jcg4A3TtLMbT7f0NRZiuDmNJmY6czk1r4TIgIB4WW4p0+IH7k7l7QnStLMbv0cG5RKZJzXFmRTbb6Atex60rMtefoQYJlprVr7cwI9uepKdGzo44ex6fnnfB2mojtIbjzLDkcNs5+E3kU7ENTv/FealG73Eg2B2K079jZuaM6zD+FsIkRlL80p4dd4pbAx4yDWamevMo8rqIByK8uq/t/LTzz1Nd3uA86+bzyX/cwovXeUn2K5RJlj0DSfTr7Jhdso76+Ew0e7knzOXsNrfgz8eY4Yjh+oWJ09c2UPXuuRLifrLLDSVb+bn33iaKfPKuPWeZcw5oTrLORfi6HNuYTkvzVzKuhYP1mYTOX9y8OoTQU7/o4Wi2YNDkvXLG/nxzU+ycUUz806q4bM/OYOp88uzlHMxHkhQnEmxMMrQHxQrex7a25bFDAkxPHZt6uCWs/9MOJSswX39iW30fDTAT5+8DHeh/YiP37s1zouf8JJIDVId9WpeuM7LhS8ZyZkgly0xuhmVYr4rn/mu/EHpm99t4auX/KNvOe418MatAYLtydphHYPl/+undJGZ0kUSFA+XGpuDmtS86ImY5o1f+voCYoBtf4ow6UvlGI2KLatauPWcP/PQ29dRVZd/oEMKIQ6DxWCkcrWbNRckCAJBkrXGb9/h44O/z+l7Gdi8q4fPn/cXejqSs1esemU3X77o7/z69asoLJfxAERmyF03k2JhMA54gHcUoH0SFIuxb8/Wrr6AeJ8NbzXRujt9wK3D4W+K9wXE+0R6NIFWmdNVjF3b1w6+/tfWltK7Ob1M+/bINE2ZEvFo9jybPiVctNFCXrETAF9vmL3bu0Y6a0KMC77d6de35leihLr7u4407ujuC4j3adndS+NOmdZUZI4ExZkUj8KAmmIc+SS8HXgat2UvT0IMA3deet9gh8uC3ZU+4NbhcJQZUftVCJtzFI4SuWSJsSt3v1YUe/e2k1OXXqadlcaRytK4Y8lRVJ6Sfp0yV0QHPYS7c6WrhhCZ4KxKv76VLjZhy+sfh8E1xPlnNCqcOXJeisyRJ8wM0vv1KVZGC9sDuTx1y2lEAsNToyZENkyaVcKZl80alPaZu06nYuLwTLWUN9nIB+5x971TMtph6S/d5EyUptNi7Jp+bAXTFvTPmfvUIytZeKcFa37yYVAZYOHXHBTMlKA4Uwwmxawb7OTW9/+Nq881sXrHZuKxZK39R25cyIQZxdnKohBHteL5RmZ9qv/FuqPMwKJvujC7+kOS2ulFXHbL4kH7XXvHydRMlfnFRebIE2Ym7d98GmiP2IAY7RuWU7nw9OzkS4gjlFtg5zM/PoOzLp9DZ4uPqvoCpswrQw3TFDMGs6L+YivF800E2hI4Kwzk1kmgIMa28to87nzkYrasbMHvjTBxRjET57oofsmBtyGOLd9A7mQjJptM1ZRJ+dNNnPNELr3b4hhtCntVgrIt9Uw7uYiiCjdTF5TjdEuNlBCZYCswsvCrTuovthH1aXImGnHtV3tsd1i48rYTOf6setr2eiirzWXK/HLMZnkOEJkjQXEm7T/6NOANQ0HVBLxN2wEJisXYlV/i5Lgz6jJ2fINJkT/dRP70jH2FECOutDqX0urcQWk5tUZyauVhbyQ5So04Svv/5vNKa5l3Um0WcyTE+GF2Giie/96NVXMK7Cw8deII5UgIaT6dWfEwGPrfOyTicUKROPl5uXiadmQxY0IIIYQQQgghQGqKMysWGTTQVtDThdVqwWaI0t6+N4sZE2Jk7Qr5aQwHKTJbmGx3YximZtZCjAWBWIytIR+hRJw6m4siizTNzYZQPMbWkB9/PMYkm5MSS/qAgUKII9MbjbI15EWhmGx3kWMyv/9OQowCGQ+KlVLVwO+BUkADD2it71ZK3QFcB7SnNv2K1vqJ1D63AdcAceBmrfXTmc5nRsQig/oUBz09WOxOzBEPQW/6lBBCHI1e7Gnj0o3L6YpFsBkM3Fu/gI8WV2MxSEMVcfRriYT4dsMGftWyE4D5rjx+O/VYpjlyspyz8aUjGuaHezZzd+NWNDDDnsMfpx/HDKf8PwgxXHYGfXxm+yqe7m4F4JyCcu6qm0utzZnlnAnx/kbiqTQG3Kq1ngEsBm5USs1IrfuJ1npe6rMvIJ4BXALMBJYB9yqlxmRnKx0LoQY0nw77erA43VjCnYR62t9jTyGODo3hAFdseouuWPIlUCiR4Lot77DpIEZfD3UlaF8ZpXtLjERcv+/2QowmWmt6t8d4tbWjLyAGWOnr4ZdNO4hrKdMj6W1vFz9NBcQAG4IefrBnE917I7S9G8XfInNDC3Gk/t3V3BcQA/ynq5knu1qymCMhDl7Gg2KtdbPW+t3Uz15gI1D5HrucD/xFax3WWu8EtgGLMp3PjIhFBg20FfL2YnbmYQq2Ewv5iUfDWcycEJnXEgnTul85j6PZHQgcYI+krg0xHj+vh38t7eGRJd2suzdIxJPIZFaFGDaxoGbzwyGevKiXN5u60tY/2dVMT+zgWgvFwprOtTEaX4rg2REb7qyOGxv93rS0Z3taWf57H4+e0sNjH+yhbUV00Hqd0PRsTf7tuzbGSMTkRYYQ7+XfnU1paU92NWchJ0IcuhFtv6iUmgDMB5ankm5SSq1RSv1GKZWfSqsE9gzYbS/vHUSPXvuNPh309mJxuFEmCxaHm7An/WFJiKNJsdlCgckyKE0Blk1mfHuGrpmJBTVvfdNL19rk+kQEln/VT8caCQjE2NC1IcYrN/nw7U0wNZLePPcDOYVYDyIojvoTrL8vwD8/0M0T5/Xyz6U9NL8qXW8OxxSHKy3tOGMhgTeSga5vT4IXrvMQbO9/+dbwZIRHTkr97U/qZutfQySiEhgLMZRoIMHJiZK09A/YimlsXkcolP5iSojRZMSCYqWUC/gH8FmttQe4D6gD5gHNwI8P8XjXK6VWKKVWtLeP0qbIsdCggbbC/l7MNgc4CjFbbYQ9nVnMnMikMVE+R0CNzclvpizEbkj2gDCi+LZ1Nl1fVzS9Gk3bXmtN07YGGv+bHgB7dkrzxuEi5TOzvLuSZVXHoPQZF+daK/rWTbLaOd3XwO//cDntHdvf8zhd6+O8dXsAnYrTIr2al270Emg7es+FTJXNhe4CLi+p6Vuutti5rrWezpf7g2DPjgSBVDNqz44YL97gJR5MrktE4ZWbffRskZdz45lcOw8s1KlZsKKYYyx5fWmLLAUs7nLyg58s4aE/fpyODpl5RYxeIzL6tFLKTDIg/qPW+hEArXXrgPW/Av6TWmwEqgfsXpVKG0Rr/QDwAMDChQtH5atbHY+gjAODYi85pVUoRx5mL1JTfBQbC+VzpJxqKeHvzSfSag2R67Pgv8eAd72mbUWUKZcOHv21o3Mnr7z7cwrm3EbHO4OP4yyTgbmGi5TPzHIMKKutP9N8rHEKH7t4IrGJeygItxBq3oKz5hjWbXiCpSfdhDrAaOz+pvTg17srQahT40ivkDkqZKpsllls3FU3lxvK6wgkYhS2ad46d/Df3V6ssBUk/+8C7Qmi3sFfr2Pgb0lQMHO4ciXGGrl2HpglRxH5s5HbtswjsCSMAYXtZQvM3gpAKNjL7r2r8Ae6KCqchNNZkOUcCzFYxp8yVfJu/yCwUWt914D08gGbXQisS/38GHCJUsqqlJoITAbeynQ+M2K/5tORgC9ZU2zPx2zQUlMsxrSmbh8benpoi4TeczuLy0DOWhvBj1lp+YTCuz75HFF2XPo0DT2eJion1VP7mb1YcvsfWOv+x0jRPJnWQYweu0MBdgR9RBPpfd0LZpmY/Wl733LXEwmmRCKUdq7ihUdv5ennfsDzL99DKOwjEOg+4He4qtLHmMytN2IvkhdEhyPHZKHUYqPa6iDmX8vUT/XX+hoscOyP4lhKorQ3ebAWaCx5g4NmgxmcFWNy3E8hMs6aa+D477no/LPGc4WZnitMmLr8bI/+hXmzL6CocCK///PV3PXz07j31xfQ0rqZYDzGtqCPpnCySUZXqw9fbzDLv4kYr0aipngJcDmwVim1KpX2FeBSpdQ8ktM07QJuANBar1dK/Q3YQHLk6hu11mOzrVgsDANHn/Z7MVvtKEc+Jt1K2HvghyEhRqu2Rg9rfb1807OVN0PdTLQ6uKduPh8sKB2yxkspxdTLbbS8FqXt7eRDaP3FVspOTA9yc5wlPLH2MZpbv8/S79+OwzcZ7EEqF5RgL5a3yiL7eqIR/ti2m9sb1hNMxLmubCK3Vk+l2uro28aaa2DBlxxMusBKqCtBzkQjjdE1vPDYL/B4k42kYrEwTz17JzOmnnHAGpOCmSZO+KGTN7/iJxFN1mSefK8Le7EExYeqJxrh4bYG7mjYQDAR55riKpae9gxTphaD1008t4kVoZfZ8bereehbbzJzUSWX/uyDvH5TiKhHY3LAB37uJm+yBMVCHEjpIjMXvphH7444Qd3CS9tvZ8O2Rznr9Nt44pnv9G23t3E167qb+E1nN490NlJktvKNwqlsvX0VvU1+LrvleBadWYfVOiINWoUARiAo1lq/SnJsnf098R77fAf4zoHWjxn71xQH/ZhtdogXYIoHifgkKBZjz8Zt7XzBvp314eSgGTvDAT688Q3enH8qM5y5Q+6TV2/izL/l0rs9htGsyKk3YnGlP9ibzFZ27X6LRCLOkys/15d+6ZSfU8e8zPxCQhyCN71d3LJjdd/yfc07qLQ6+EL11EHbWdwGShYmy3hzQw+eZk1n10721927l1qOGfK7THbF9KvtVHzAQqgrgbvGOGTtsXh/b3g7uXXHmr7l+9v2kFtQg37hery+NgCsVhc1iVPYs7WLPVu7WPfmXn78yBWYozbsJQZy64wHbOouhEjKrTORW2eiswtC21tx2PPo9QyelqmyeiF/iCr+0ZPsHdkeDfOpljX85NI6/nDB46x5bS93PX4px51Rl41fQYxT8ro5k/abkika8mOy2lGOQowxn/QpFmOO3xtme6+nLyDeJ6wTbA/533NfW4GB0mMtFM0zDxkQAzgc+dRWL0xLz8urOvxMCzGMXuxpS0v7Q2sDvdEDjwq9a2MHbzzaRV5u+kQKeTkVQ+zRz2BS5E8zUX6CBYMJvA1xGQH5MDzfnf7/9u9QlKr6pX3LlaUL2bbKi1JwwhlTueCSxXR09lB+goW8epMExEIcgsKCWq66/A9cfcXDTKgZfF+vmH42//KkVwwFq5KzVSQSmrWv7x2RfAqxjwTFmRSP9I0+HY9GQIPBaAJHHqaoj7BXgmIxtphMBsxhjduY3shk/6mXDofdlsN5Z34Xp7OwL+2EhddTUTLniI8txHCot6dP7TPDkYPdeOAaXIvNxOMP7uS46XdgtSb3V0pxxilfobxsxvt+Zyyo2fZ/IR45qZu/Luji9S/68O4em72KsmWo/7dpFhverl0AuF0l1Jdcxzv/beSrP7yYkziVwN21bL/dSfNrMg2WEIfD7SqiftISpk4+hXlzLuxfEe6l3uZM274skcMXvn0BADaXjCMiRpY01s+kWLhv9Ol9TaeVUqDMmG0OemVCczHGWO1mpubn8UWDka/Ft/WlX1lYw0xH+nysh0onNOaGWZzleJJ4zW7M2k3nH6vxV7rJWXLEhxfiiC3NK2aq3cXmoA8At9HE56unYDEcOCiun13CiedM5iBLvKAAACAASURBVI2/J/ifTz3Nrp1rcLryOGbucVit6Q+G+2t/N8oL1/S3ztj4mxCWHMWxtztRBqm9PBin5pdQb3OxLeTDgoFLSqv5XHkdztw7CUV8FBdM4tH7dnLmR+bj/3shPakBAXs2JXjyw71c9HI+eVPkkUmIw5GbW87/fPhulp50I9FokJLieioSJs5b/ypRnTzXTrAUkvMfB/odB6eeP4M5J1S/z1GFGF5yhc8gHe/vUxwJJptO72N25hHxdGQra0Ictrkn1WB4p5F6x1xabTGqXA6WVJSSZx5cU6y1xtfaQCzgw15Uji2n8ABHTGrwvEOneoT48Y2UHXMx3Y8uYPXNyUCj88wY5UuOvCZaHL0GljdHUQXWnMwMzFZvd/OfWSeyxt9LOJFgpiOHac73fiGUW+jg6p9PptvwGFHzv5gx+3zswbkUl7/3ObFPx5r0uXE3Pxxi1qfsOEqlj/HBmGx388TsE+nwd+M2r8RjuodwvAZn3oVMzTkZgA9dmUPH6hivXTZ4RPF4EHq3x0ddUBwJePC37cFotuIqrcVgkpo1kc7ftoewrwd7QRn2vOJhO25TTyse9Qpey78wR6dToM+nJnfWAbd32HOZWHts3/JSrXm29GTWNHtwRszkPG2j5Z5kgHzdU6cz4fgjf9EuxKEYXVf4o00sAqlmppGAD/OAoNjkyifSIVMyibHHajWx8IRa0nv+9otFw+x57TFW/ubrxMIB3BX1LL75Z+RPHHqCz4be1eywn0ecZL/kXtO/qL7wfk6InsOux6LYSqWnhziwWDjI7tceZeVv7yAeDpJTWc9xN99D/oT3b5p8OGpsTmqGaPq3v0BLnM51ceJzG9id+2EiJPu19jr+Q6nxa8Tjn8X4Hs2u93GUpJf/nElGTA6pJT4UtTYnwcg/2W27KZlggh5+i+5+gkrbLEqqcrFGYpic3cT2GyJh/+mZss3TtIN3f/UV2ja8gTKamH7BjUw+6yqs7vxsZ02MEol4jMa3n2HF/V8iGvDgKKpk8Wd+TtGUBUd87Hg8TqfxD7Rav51MMP6HnsTvUT3/oTpvMgA9W2N0b4xhtCoKZplwVQ6+1hmUonq3m3UXJQgCQZIBsb1EUTzh/a+vQgw3edLMpHgkOfkhEA36MVmsfatM7iKiIZmLTRydehs28vZ9nycWDgDgbdrGOw/cRsTfO+T2PvV2X0C8T6ftB7hO9lN7jgV3jVEGFxIH1LN7Eyvu/xLx1FyXnsZtvPubrxMNeN9nz8yI+hM0vRZh619CtL4ZJWRe3xcQ79NhvYtm756DOl7JQjMFs/ofKA1mOPZ2Jxa33MIPRYunjQ7bDwelxfESMK6k8cUI0UBy+qzF3x3c/3jyZVbyp4+eOoREPMa2px6ibcMbAOh4jA3/uJvOrSuznDMxmnj2buXNu28iGvAAEOhoZPk9NxPqaT/iYzd7d9NuvWtQWszQip8N7H42zN7nwrz5NR//vdzL0xd7eOqjvXh2prd4KZxtovqMAS0cFJzwIxfOcmkBI0be6LnKH40G1hSHApistr5V5txSYtEoOpFAGeTBRhxd/G3pD/tdO1YT6unAMsS0TZrEEGlxAh0J3viCH2WCpfe7qfuwVUaAFWn8rQ1paZ2b3ybU247Z4R7RvEQ8CVb/NMiqHydfCBltcPxNQ5XvBJGIj1VrHqW+bgkuZ9EBj+muNXLGX3LpWhsj6tPkTzdSMEtu34dMazRDDFCmE7xwvYdFX3My7eN2Jl9sI3+aCc/OOI5SA4VzjNjyRs99OuLrpfGtp9PSu3euo2LBqVnIkRiN/O170YnB5d3ftodgdyu2I25GrWGo+7ZO8PRHkkH4pIus1JxlYfeTEbrXx9nyVBOhec8ydfJSiouSUy3ZSwyc9HM3natjhLs0ufVGCufItU1kx+i5yh+NBvQpjgb9GM39NcUGdwkGA0RDvmzlToiMGeqG6yipHjIgBnDpYzFgG5RWELqV9Z9PtrTQMXjlZi+e7TLirkhnyytJS3OVTcB8gPKWSV0b4n0BMUA8BNbATMwM7uNcGP40rz9/Hw89fAWvvfkbEon0B8yB3NVGas+2Un+xjcLZZnk5dBjKckspCt86KM2AA1t4HjEPvPFlP71b45gcirLFZqZcaqPqVAv2otFVa2VyuCiYPD8tPadiUhZyI0aroe7DFlceFlfeER+71FlDYfimQWlmCrD4+rus7HgkTMnC/gC3d3ucZ577IQ89/PFB8xY7S43UnGFl8iU2ShaaMVrk2iayQ4LiTBowT3Ek6Mc4oPk09nzMKkFkiHnahBjr8mqnM/nsq/uWjWYrx15/J7a8oWvDJuTOpy78GPnRj5GrT6Em+Fv8z5xO97r+IDjmh2DnewcOYnzKmzCd+jOv7Fs2Wmwcc9333ndwtyMV8kfo6QgMSgu0pL+4Wb6sgFr/IxSEbyBPL6EieA+RvYt4+92HAXj2uR/T1Z1e2y2GX37iXKqDD5Knl5IfvZxJ/kdZe1kNzioDVR/WBH2jf/olk9nKjAs/jdXd/6KlbO5SCicfeV9RcfTIrZrMzIv7XwIpo4mFN/wAZ3HVER/bbDZRGLuaitA95OklFEY+Qa33n7y1bPDLv/iAXoL2mR14vC00Nq2hpXXjEedBiOEmbRQyKR4Fw76BtvyYLQNqwkwWTAZFpH0HlNVmKYNCZIbFmUvZSddD0RJ6W1opnjSBcMRA6/o3yKmswz5EzV6texG1LKKjoZvWp82s+drgPvfWAoWzYnTV2IjRwerKZ9YlX6DmxPOJeHtwldXirqgb9u/xtzfibd6Byeqg05vPz774Ks0NvVx4wwLOvGw2JVU5uGvTy6jJZsTz8GSmXvwdvMEG7n/wwkFBcDwRQ2t54TMSynKLyA8vI9ByJlse1Dx7d4jaa8PsmbaZvz+xhuqGAq65/QPMXVJz2N8RC4fwNG0j3NuJs7gKd8WkYa/Zz580i9O+8yjeph0YLTZyqqdgy9CI62JsMtmcTD3nWsrmnky4tx1ncTXuqnrC3m48jdtIRMO4K+pwFJYf1vGr8ivYvPp0Gt+ewYrnd5HnbmXeR4rx/bS/j7DRoTA5of5GD+tCv0Cnpl9KJKTVlxh9JCjOpHgEjMnmn5GgH3ve4BuWyWwi0r4TOCULmRMic0L+CD+59WVeeWwLn7pjJsFNd+LdvQaA3JrpHP+5X5BzgKDFp3aw2f04i+/+JG9/SRHp0diLFac+mIO7WoJiMTSLw03RlGMydvyuHWt55c6PE+5NTqVXMOcsaiadxLsv9XDvbc8T8EW5/hsnkz/DxAfudfH6533EAuCqMXDiT10UzzdjsisCHYpwePAAYCcefy0F+YcfhIlDY7U62eJ7HPeC2ZQscfJOxyoee3gFAC0Nvax5bQ+/fuNq6ueUHvKxYyE/W5/8LWv/+kPQGqPFxgm3PkD5vJOH+9fAVVqDq1TKjTgwk9VBYf3cvmV/RxPv/vp/aV75PACOokpO/OJvyKuddsjH3rO1i0+f+ge8PaG+tKbTuzj5lNPoeB0WfdNJxVIjsTmreHLF5+ncuQuA/LwqykoO/fuEyDQJijNEx5Oj7ClD8iE+EvSRU1I5aBuT2UKkY/eI502ITGva1cMrj20hJ99GbVEDLevW9K3r3b2R3a89xqyPfi5tv2BiL87KdhZeUI+n9Rmm3J9LkXUOxROLyJsg8xSL7IiFg6z764/7AmKArjVPctwZJ/Kvh5LLf/vZci68YQEllTlMucxG2WIz4R6Nq8pAJGcH7YbNqFgEV8F0brrhcV5941fs2buKY4+5hNkzz8FolDlmMy2ho/j0RgJ6G+VT8/Dm7aQq38WPznx30HbhUIwd69sOKyju2bOFtX/5Qd9yPBLi7fs+zwe/+28chWVH/DsIcSQ6Nr3VFxBDckTqLU/+hoXXfueQ57lu2NSBtydEabWb635aQ97EdmKBKBNLPeTEa8mZZEQZoCKnjOONV7J63WNMmnA8ixddTn7+kTfhFmK4ZTwoVkpVA78HSkkOV/eA1vpupVQB8FdgArALuFhr3a2SbYzuBs4GAsDHtdbvDnXsUS0W7qslBoiGAoP7FANGi4VIT8v+ewox5pktJqw2E+UT84h1vpm2vnXtq8z48M0YDP01v4HEDlbH/h9+NoIRjBU51Dp/ijXmJa9cakNE9kT9Hrq2pt+GjLF2rDYT4VCMnHw7ZkuyPCulyK0zEYtFaOx8mSb9TfxqJSTAkLAxv/QRPnLBj4knophN1rTjiszoSDzDmvjl7Bs1t7joQiy9l+DKtaX1DbfaD+8lRai7NT2tp42wt0uCYpF1vQ3pfXk7NrxJLOQ/5AG4rI7kff4rj1binX4DQaIAtOtTKbX8gkDAyptv/Y6n/vt97PY8Tj/lFubMOo+8XDkPxOg0EgNtxYBbtdYzgMXAjUqpGcCXgee01pOB51LLAGcBk1Of64H7RiCPwy++X1AcDGC2Dh5d12SxEelt239PIca8yrp8rv7aSezZ0oWpJL1Ja9WiMwcFxADd+tVkQJwSx0OX40+8+PLd+AMyIJ3IHos7j7J5S9PSY6ZywqFkq6CbfvBB8oudg9Y3Na+nJ/42flP//LEJQmyN305c+SUgHkHhRDOb4p9j4DQy7eqfxJ0buPTLkwdtWzutkKnzD+/B3VFcBfv1H3aW1mDPTx9HQYiRVlCfPmp5xbFnYHbkHPKx6maVcM135hGd+iN0KiAG6FbP49Gr2bHzNf795B1Eo0E8nmb+8egXWL32X0eUfyEyKeM1xVrrZqA59bNXKbURqATOB5amNvsd8CLwpVT673WyN/6bSqk8pVR56jhjRywMA5qiJGuK9wuKrXYiXnnYF0cfg0Fx4Q3HMHleGTrUQcVx59K0/N8AVBxzOpXHLkMnNO0rYzS/GsGSa8Bwyfa013QR804wuunpacTpyM/CbyJEcvT06RfeRG/jVnp3bUAZjEw55xOE8qdzw7cqmbOkmhmLKtP2a+/cjrnKn5Ye0FtIaB+owXMoR/0J2lbEaHk9iqPCQPkSM3n10stpOMTwEiH9JbQ2+WhX9/OF31xF40YT1bU1TCippOt5K9YTYuRPPbS/f27VFBZ98ke88+BXiYeD2PNLOe7Gn2LLPfA81EKMlKKpC6k/6yq2PfVb0Jqiaccy6bTLUIZDryMrKHVx9tWTWWXYnrYuqjvZsGl5Wvpb7/yJE467ErPZfjjZFyKjRvRuq5SaAMwHlgOlAwLdFpLNqyEZMO8ZsNveVNqgoFgpdT3JmmRqakZh08r9m0+Hg5j2az5tsjmJeNKbWomxb9SXzxHgzrdz/LJ6oJ5YaA7eiz6J1hp32QTMdhctb0Z4/JxelAGcVUbmHXMcTB18DId/KQ27XsF2qnvI7xCHR8rnocutnsLSr/4JX9tuTBYbrrKJGM0Wjjv7wPs47fn4PTmwXyVMiboIs0qfQ3TX4xFevM6LwQyuaiPr7w1wxl9zyZkwfgLjTJVNq6ogjyX08NqAVAPhXhu7m16lpWMll859nrW3FbI534hvjw9rgYFzHs8lb/LB//2NZgu1H/gwhZMXEPb14CiqwFEgzUWPFmP92mnLK2LOZbcx6dRLSEQjuMpqsRzBfO557mqKIxfQpv5vULrZX0dZaW/a9lUVczEaZXwQMTodcfNppdRBXRWUUi7gH8BntdaegetStcL6UL5Xa/2A1nqh1nphcXH6w0XWxcJ90zEl4jESsRhG8+ALgdnuIhJMr0UQY9+oL58jzGRzkD9hJgUTZ2G2u9AJzbr7Q0y+xMacmx0UzTWhtxzDxPC3MeJEYaQgcgHNa0ycfuqtFBbItGXDScrn4bG68ymsm0tu9dS06/lQKitm07S1i1LPFzCRCygKE+dQEfsEBjU40Aq0xXnra37qPmJl3q0OiuabqDnLimfH+Jq6JBNlMxKOseKZVmIrPosrejwAFkqZFPoJ/338TwDMrbsE3VDF9KvsFM03Me8WB5Unm2l/J3bI36eUwl0xiaIpCyQgPsocDddOk8VKXs00CurmHFFADODdbqRg2+cpiC4DwEwB1Xt+yd6/TWJC5SkUFU7s29Zhz+fEE65N6zolxGhx0K8/lVLHk6yxfVlr3aaUmkOyH/BJQPX77GsmGRD/UWv9SCq5dV+zaKVUOfS1a2rc73hVqbQxRccikOovFg0FMFltafMUmhxuouFINrInRFZpDc4yhWdngs1/SE7nsOMRA/WXXE7dV0/GnOOlp83HzElFlJfNzHJuhTg8bncJU8qvZOsLa6iZeS9Go41//KCDucf7Of/awdsmIuCeZEAZ4d07+wd9anolSuEsM/aSkRgC5Oi0fnkjnzv7TxgMiqUXX8qCZdcyfd5kyupqueSiOjzeFiotp/LGjVHa3+0Pgus+asVgOaT39UKMG/7mOM993EPX2kIql/2Eygu/irPYyaa78jDXRPn7M+u4+e5H6OjeRDweo7xsJiXFwz9/vBDD5aCCYqXUD4FzgFXAl5RSTwPXAt8Drn6ffRXwILBRa33XgFWPAVcCd6b+fXRA+k1Kqb8AxwG9Y64/MaSaTyf7FEeCyaB4fyZHLpFoNC1diKOdwaioONnCuns92ErhlEdNRAr2oGNG2lfnUTGjmumTD20kTCFGG18oiKk8RF1xDXvftfD18/6N0ajo2BPltI/MwJXXf19wVhiYcY2dF68bPIdx+4oY3Ztj2EukyeHhamnopbw2l+aGXp7/SwMrnrFz0ScLcH3OAfkWSgsXw1YX7e8Obu654x9hpl+Vfu8WQkD3hjhda5MtWRqfMtH4VCkGKyx70gqTuqgJ1RJRdmbNeI8+JkKMIgdbU/whYL7WOqSUyifZ53eW1nrXQey7BLgcWKuUWpVK+wrJYPhvSqlrgAbg4tS6J0hOx7SN5JRMVx1kHkeXeH9QvK+meH8mRy7RuEZrnVaLLMRY5GvdTe/eLRiMZvJqpmEvOPA8n5ZcxQm/6yDnnDfo1C/gVNNwqxkE3DuJBT+Wtn0iqml7J8rupyKYHIrq0y0Uz5e5XUVS796teJt2YHa4ya2Zii2nMKv5aexuptX8M7py7wcSuE45iYcbv8+u37qJ77DTtbEH/7HLadP/xqIKKTacS+7kRehE+rHiEamtPBy+xGa6Ei9ScckrfP+jcwntXML2f5VSW1uC69yX2W69gjherJRTM+1B3JOm4t3R/x+gE2Byje17s6dxO96m7ZhszuR5IQN+jQvxWATPni342/Zgyysmp2YaFrtrWL8jERt8XZp8bZhp31tJh+ExTORSmHMyjZH7oPOLdP2+huoPWiicLfdsMXodbFAc0lqHAFJzCW89yIAYrfWrwIHuKqcNsb0GbjzIfI1esTBqYFBsGSIotruIJhRE/GAd3ouVECOte9cGXv7Oxwh7OgHIrZ3BCbfch7tswpDb589K0Lvwt2xO3A9Au/43diYw0flFAno9MHgKk+Y3ojx5frImp+JkM55dcWZ/CgpnyU12vGvf+BYvf/dy4pFkU/zyYz7Iwuu+l9VpcHyGt+iy9M8o6De9gsfxZ2z+W0g4jRjnP8vaxCeTKzU0JR5m7qy/UXPWLHY/2d+txlllIH/K+Bloa7hEE73sjP+IVv33ZILhP7jqZjPr+F9jnNnMDusNaJJNpcM0s9t6HQv//BQvHNd/r64+w0LupLHb/7Fj8wpe+s7HiIeDAJTNXcrCT3xf+jmPA43Ln2L5PZ9Bp96yTTvvE0y/8NOYHcP3rJk31Yi9WBFs11hyYPK3X2cd1/fNetbEH5lp+SV74j/HMeG7vHprhBPvclM4S65nYnQ62JI5SSn12IDliallRTKOPW/4szbGxcJgSAXFwQAmc/p8lCarjVhCoQNdKAmKxRiWSMTZ9vTv+gJigN6GDbStfS0tKI7odrx6A2FHCxYKscTLiNACQJBdgMZs9g3aJx7VrL0ngL3EwNzP2tn5aISW16I4Sg1Y8w24Ksfug6s4MhF/Lyt//82+gBig+Z3/0v3By7Dnp713HTEBtWLQskvNxu0wU3pdiJ7lUfYYftG3zkIxlYar8etNzH8oTP3rU1j5VQflJ5iZfo0dV7WU70Pl0xto1f0j4pYaLsKppmE98W1UrAILxYQHTGoRphGKWpn/+WnseiLCxPOtTL7YisU9NvtyR4M+Vj/83b6AGKBl9Yt0b18jQfFRzte2h3d+/b99ATHApsd+ScWxZ1I0ZcGwfIfWGkPNFk5dvZV4Tw7W2AR2Gu8dtE2CIF69hphlHaYpHhylOfj2xCQoFqPWwZbM8/db/jH9o0WP7bZFmRKL9PcpDvkxWdODYoPBiEEpoj0tWPPH3tD+QuwTD4fo2rYqLb2nYeOg5bBuYWPss3TopwAwYKXeeAfb4neQIAyAJk6r6RfkJIrJNywmlUjEq5lxnY3lX/eTSFWkrb4rCBqO/boTZZBL0XgUDfrw7tmSlh7qac9CbvrZ9Iy+nycavkSALTQmHsJdvI4Jp3+DXpLjSShMTDDemjoHQmCEgpOWcvaLv8BuzpdyfZg0CfY9ppQZLiasW2hNfBcAZbAw2fgttsVvT/7NATP54M3HWmhg2f/l4Koc2w/u0YCX3j2b09KD3TIN5NEu6u8lGvCkpQ98aX2kuvTLrIp9FG2OQDEUxM4m33AS3sTg5wBNDFt0Ad43nex6LELXuhjFC8w4SuVFnxh9DvYVaB7JPsQvaa1fAn4I/A74Lfu3cRQA6NjgPsXGIWqKAUwmA5HOMTe4thCDmO1OapakNxgpnX3ioGWvXt0XEAMkCNOY+B3FhnOA5DQpVsooMZ7J6til+PQmINm3b/rHbcTD9AXE+6z7ZRB/0xAdMcW4YM0tonLRsrR0d/mkLOSmnytxPI7oUgrV6fTo12lN/JNCwxnkmGex2/ktqozXAFCkltGc+HNfcAbQxYv4zaskID4CTjWVQvVBABxqMt365b51mgh74w9SYkhesxRmKsM/Y8Mn8ll7T5CWNw99GqbRxppbSNWis9LScyrrs5AbMZLsBWW4yicOSjMYzbhKh6fyJaI72Rz7PJr+m3GX6Qlcasag7RQm8tQJFESu4N1bkgNyeXYk6N02vqaZE2PHwb4K/SJwyYBlC7AQcAIPAX8f5nyNfQOaT0eCBw6KzSYjkZ6WkcyZEBlRc8J5eBq30fDKPzEYzUw7/5MUTT920DYRnV57F9DbqFCXYzQ4KVJnsC5+LQasVBquwJ/YjMs4jd1PhdnyxzATL0g/j6y5BgwyMO+4ZTJbmfHhmwn1dtC27jVMdhdzP/YV8idmdyqv6vwJmHoeAOMm1hvOw8FkjNjZlUhOwuBITGKa8SfEtI+uxItp+4direx4IkzrWxGK5popX2LGVSW1KwfLaihiArfiTsztb9c2QIBt1IXvwxC8EFuimpYHqqg500Lvthg9m+L0bImRN4b7chtNFqZd8CmC3a20rnkZk83JnMtuI3/S7GxnTWSYLbeIxZ/+GW/deyuevVuw5Raz8IY7cQ/TC5G49hFg2xDpfqYZ76Yl8TdM5FJu+B8C8Z00fGMxDAigoz7N8q/6yKk3UnGSmdy6sXueiaPLwZZEi9Z6z4DlV7XWnUCnUsqZgXyNfQNHnw76hmw+DWAyGYl4OkYyZ0K8p0QiTkfnTmKxMAX5Ndhs7oPaz1lSzTHX3Un9h64hGPbi0V66/K2Uuwv6Rle3q/SbcmH8HFBmQnoPa+gfddqADR210NPk440vhwk0Jyg+xoS71oC3ob9meNG3nDhKJFgYz3Iq61ny+QcItDditNqHrUZkKL7eEF292+nu3Y7F4qCifBZuVwmdXTuJRkM4VCXRFif2QgPl1SUEEn4MMQfFhrPZkxpUDmC3/jmmeA6zI49TqDbSZv7ToO9J7K7nuSv3NYEMUX2GhaUPuLDlS1k/GFrH2RW/i5DeQ63xs2nrCxPLePv/VTFh2XT2bohiLzbx9jf8feu3/TXEaX+xEDDvweRI4PG1EI74KSuZSlnptJH8VQ5bTsUkTrjllwQ69mK02HGWVMtMF+NEQd0cTrnjrwS727A4c3EUlg/bseNhG4XGZXTy5KB0sypiQ/wmKtX/I0oPa+NXYsRNwYLT4aEcACZdZGH9/UH2PpfsPpI7xchZj+Tgrk6GI93de/AHe8jNKcPtKh62PAtxMA42KM4fuKC1vmnAopTaoURDA4LiAI6CoVuZm8xmCYrFqBEI9vD6mw/x5LPfIxYLM23qB/nweT8gp2AC7/q62RTwUmi2cIwrnyqbI21/f7CLvz93Bxs3PwuA0Wjhk9f+g8l1HwAgR81lhvFetsRvI0YvebFTKen8NBtLzxrUFAvAqF3E99Sy920f065yE2xNsObnQeZ82o5SCp3QVJ5ioWShvGUWYLa7yK2ZOmzHa4mEeNfbTXMkxP9n77zDpCjyP/x29+S4OefEkrOgSFJEQVQMHMGcczqzZ04YMPs7s2DkFBUVBQRPUAQlxwV2WZbNOc7MTp7u3x+Du4wDCIrx5n2efWCqq7prunu661P1Dbl6I/10Fnb8twoXxXz5/WV4vUEBlZU5lONGXcfb/7kMn89FXuYYTsp+leqlRsw5ItZ+CeRm34WHWgRCBa0fG80VpVh91+LNaaZdtwQJC7n+B9h0U25I3aolXtqLZZKGR0TxoSEgoKGTnVTJL5Ij3UFl4N/B5w4jSPfeiv1pkVXeeiwnqklca0CQQNlr2Zn8jyY+XzMLg9lETd1WKiqDgdPUaj1XXvIxudnH/IHf7dBR641Y04/c7yLCXwetOQatOeaI7tPuaOTDT26lsP9QzLmt2FWrUWElpWYmcoKArHZQpXRP/omoiB+k4bh5Olw2PxqPhm+uCgbSNPUSUP/Ly7vucmLq1OTKDj5+/TQcjibi43I4d9qrZGYMOaL9jxDhYBzqaHK1IAiXKory6r6FgiBcDqw58t36G+B37xNoy4lFc4CVYrUGr73t9+xZhAhhNDQWU99YghwIsGDRhD1qJAAAIABJREFUfV3lO4u/YvW6d3ANvohzi7t/6kebY3iv53BStHrcLh+lmxuo29OONbesSxADBAJePv7sDq69/HMMhmgkQU+scxrxS4fi9ztpWJyAepCJtAuuo0ozq6udTslAbxvNlyck4GlTACfRhRJ9r9Sz+SkXKhNM/NhK9XIfO2a7yZmsJWWUCl1MRDBE+PW0+jzcvHsz85qru8oeSu2F7/Mi9L1mdwligPKKtdTWFxEIBCd1+idezJqbRJy1TgCMGdD7mfEkHV2PpDGyR36sq61GTkZj740USCZl+8ukJtWhtxjwV6fSsLw9rF+RfMWHjiCIZEiX0+xfiF3ZjCdQT4p4DjHKOByVSXzntTC9+dsfs8fQI8vMrKcGUXG9gj5BoCNnEZs2zWPC+DtZtXp21359PhefLbyXKy/++JCtaCJE+LtQU7ONTVs+YfPWT+nb9wTye91MwCeilY9DY+xAHRWHj+6FnsSG21l2pgHR4MEwox5JK2LpGY+zEuSnXEz3r0HZ60HYS6vnhqMvY8PSh2lqLmPOuxdz3ozXSIjLRcRE6ZYG6ss7iEs1k98/EZM1PNVphAi/hkMVxTcCnwiCMAPYsLdsMKAFJv8WHfvLs0/0aZ9r/3mKAdQaDd7Ojt+zZxEihLCnYi3/fvU0RFFi6KBpYdsdGjO3lm0OKfve3somRztJah2L39nKY1d8AcAt71nD2jc0luD2dGIwBA1O3A0yqy6MIhi/Dyo+cjMi8XxyxubRov4COgpw7DiK9W8n7xXEQdp2BsicBAnDJAbebGTlLXZaNgeHtHvmexj2sJF+14SvXkeIcLhsd9pDBDHAg7U7mXdWJitWhke6djnbUasNmIyx+L/vh7O2+77trISGhSbmvdrAra9fiNqbT4u0CI29B8amCdTOT2bnHDcnfWokOSsYqMYjyiQOU9GwujvgkzlLJCo/MulzOEQJwxms+pw674f47WqkupMpKUvAK6i5P7mIfcPzFXvs1A9zgqAnZlCAoqb5SJIar9cZtt+GhmLcHntEFEf4n8PRGRS8iqKwZcsStmxZAsBdt04jLq4Hg+VPaZQXYveUoNszifKnB+KsD/7S4ltieeL1d7jptjMx1lu5VSwKcfff7nHhTO5OGdXaVs72HYtZ2VFLmv4S7jh9Yde2824fwQV3HoveGAkoEuHIcUiiWFGURuAYQRCOA36MXvKFoihf/2Y9+4uj+FwIYvD0+twHFsUqjQ6PIzx0foQIvwceTydffPkgXm8noihhMsaG1bHG5dNs84SV2wM+ana38syNX3aVKe7EsHoD+k3GYu72stBYRVLGqEgZqSHgBlEDzd9qqa3M5ot3RtJSZ2foSDd9yiUgNEqlr1PhpA+jqFnuQ5REel6soWNXgNpvfWx41EnOZG0kGFGEX40t4Asr8ygydXaR3PSJbNoxJ2Sb2ZyAx2MnPWUAjmVWIDR6sbdCTXVFKy0VEu1OI9baFwi4FLa+6aZ+ZTDqdPVyHyl7M5Bpo0RG/dvMzjfdVC70kjJKTa9L9RiTI/f24SAKGqKFEdS+M5Ad/+dC9kH1sHUcNb0PdQF3WH2HykdCoQlTqpqMpKOortmMXmcJqzew/xkRf8cI/5PEx+cG3ZeUbjnbq8d4rJbgu98k9kbv68Xy6+zs+cSDss+j0FulJjbJTLO3meS+UdT5w3+DLrFbluh1Vnx+D2vXv4f+J5ks3np0JWPPKKRwcMoR/oYR/pc5rKz0iqJ8rSjK83v//icFcXtz+KzxfvG5QQrOYPk8LqQDmU/rDHicjiPVvQgRDguPx0FdXREQDLBlszeQlXlU13a9Poo+iXlMjU8PaacWBAoNFhwdHjyu7rfewpdaGTt0JgZ9cFW4Z+F4Thp3KypV9/2vjxcpmKFn3UNONj7hZP3DTjprZCwxekq3NGBrdVHQM4XCS7UMvNXA4DsN6OKCwWFSR2vQWkQ0ZjAki5TN94AAwx8xImmU/UaZjRDhcCnQm7BIoXPGQ03R1H7XgNI0msLcSQiCgFZr5tQJD9HREbT/q6nbQuz40Ajr+niBvOkazj9jIv5iIwnOsWx8wsXqu5xEF6rpeVFwwtTrDJ0AispTMex+I6d9HcUxT5iI6RXxnf+luBoVbGUy+niR5Jwo2ra2crY6q2v7Wep03us4hmO+T2T440b6XmGif8Z5WCxJbNuxmPHH3YxeF7SC6dnjBMaMvBJpryVYhAj/S6Qm9+X8GbMx7p1Az88bzWmTHkKj6Y65K2kFEoeoQgQxgLaXG5UkMaBPPnEuHZ+3jOYydXfsBBFIdLcCQfeH48dcz/qNHwAgC+GLR7a2cFEdIcKvIfKWPQzWLyvnmnFvc+Ujx3HebSMOXtnvBtVeUex2oTqAKFbrDNjcriPd1QgRDgmTKY6B/c9gxapXAFj5wxsMGfgPxo68BpXsI8GaSpwpjrut6ZgkFe81VpKjM/F4Tj/6Gq20Z6hIz4+halfwRbZ9TTPtd0Tx1JKl6EwKUdZU1Bo1HfJGXEoZaiEOjb03ZRtFogeLtK0LmlVV/9fH6JtTyCyI5eTThyIuyOKHsuAElKSHo+4z4rUpJA5T4W6VWXNPJy1bgiKi9hsfbdv9HPOUGWPaYc3zRYiwX/L0Zj7vcyy3l21lY2c7k2KS+FdGL4yXetm2uhat8RZOGHM7ru06PE1OqnzPMOGEO5CVAHptNXnnx7D7HQVBgqMeNvDdVZ0E3BpK6cSaJ5E5UcOW513snO2m8AId5lyRjFMDtMtrcCuVaEhGdKVhkTVorUcuauz/Kunj1GyaBVmnamlxpjJ7zufcOelEZhQYUMRmoiph080Ca7e6ABcjnjRizipgyokvUtP2AzqdhdNPmUlz6x4S43qQmHDkA1cpsozSvAulvQbBkoQQnw9+L4q9AUFnQTDFHfFjRojwc8gdNRDwIVjTECQVKpWGAT1PJDMmCx9u1AkBvKpttMqNmIU+qIXghHjWKVpad/gpeduDIEH6dIUtVTu54qJTWXmenx8V8wknZqC+WeArsZ7HsvtS4KwnccJ9+ANeVq97F5u9AUEQ0AjJsI+vstGiJSU76o84JRH+xkRE8WEw9+kfGD+9D+89+T3TbhiGRnvg06f43AhqA3IggOz3Ian37/eg0pvweLz73RYhwm+NKEqMPvZKOmx1bNm2AI3GSGbaAPJttagX3QUBP/JRF5A97GKezh3A7emFGFUqovdO+MQkmHhw7hk8cdVCitbUkpYbze0vTyIzJ6vrGA2B+WwNXMSPy7hRuql8fdnZ1J6pY3pDFvWXCGSe34GNHVzxkpooyUH5Zi+OsuAxAi6o/srL8W9ZUBtEmjb4ugTxj7iaFFR6IZJuJMIRY5gllk/7jKDD7yNBrUUrSdADMnrEofi9KE0ldOaqqFqfTn7SaXyx6p90draQnjyEKZc8R8/J4FFHs/VxN/ta6jrrZczHVZDdbyMKMip3b0adn4+391us89/VVc8i3Uhx4wmMbK4kM6UXQsR/9RcTP1jNpEVWqr/yUfGslptfHI836XHatHMBaM8T6DfnJXbfNwrLxJ1UqncRZ0nCZ82gpdHDxuUPEAj4GFx4DkN6nndE+6a47SjNZShNOwm8f9neCXUt0gXzkFc8j1K8FOJyUZ35PELecZFnXITfBcVtR948j8Dnd4LXgXj0ZYijb0TQmQksexLT+ndpvuJStgqPdXk5pXIBeer7UQtWTGkSxzxhpuclOtrbW2kVN9HfU0mg3UXWhT0pfyNoedHwZYBrLivgX6MLiVVrITYFvVrHfz68jqbm3RgNMfzjjKcxKEPpMaiJ4g31ZPaI5faXJ5GWe2Qja0eI8JuLYkEQ3gAmAY2KovTZW3YfcCnwo53ZnYqiLNy77Q7gYoI/s+sURfkybKd/AD5vgA3flHP/26dTuqWBbT/UMGh05oEb7F0p9nmcSBrtAV9kGr0Jny/cfy1ChN+LYOqDV2hrr0Kl0mKtWIP87rld2+VVL0FUOqqEgv2mYeoxMJmnF82graETc7Se6IRuMyq3XM3OwE3sa9fcLrzPsdETOKsmwLK4Rj6e04cfim9m9yfLuupMuGAWxvIz6KwOriS3lwZoXOsj4AFdnBiSOuVHdFGRVeIIh4aztR57zW5ElQZLWh5ac/R+61lUaiyqUDNZxedGXjOHwKf/RCsHyItKx9VjHqq4pfhi7bh3xJPYbxHioqvx9r4O+57bQ9r3eLiCt5efidMVzDqgURu46bSP2K3cF1LPJj2DZBnGrDoNT9ZtQ5t99JE7Af9jiJJA0jANtrIAAQ9oEiqp3SuIgyjUZtxG9t0v8uLre4MNroW0nJF0jr6NpMxRaATID/QlLvnQfYllOYC9tgxncy366HjMKblI6m6rMcVej3/hPQjGOOQfXg2OGwCh10TkxfehVO+Na9q8G//rp6O+4QdI6vVrT0eE/2H8Hhe2mlI8tlZMCemYkrP3Oz5VKlcTmHdl12f5u/9DMCVA3hjkrx/He/pNFFv/HdKmhjnE204nzjqajjI/bTsC6BMVdjV/wJc/3N1Vr2feJLKmPELVvOB4QukQgoJ4LylJvbjy4o9p76hBpzMTHZUGwHNLzqGtsRNrjJ6oeCMRIhxpfo9R5BzgpP2UP60oyoC9fz8K4l7ANILBvE4C/i0Iwp8iskhZUSMxCSaMFi35/RNZ81XZwRv4XCBp8LldqLUHDhuvNkbh8ckH3B4hwu+BRmMgMaEHsTFZKFvnh21Xij5Dbq89YHtzlJ6MHnEhghjAjx0frWH1TSoHmVoDTT4PvsRidtcsC9n+9Zb7STuv2zcz/QQN31zh4MspNrY810m/6/Uh9XPO1BBV+Kd4VET4k9NeWcyye8/im4dmsOy+s/jh+evobK455PZKww4Cn9wA8t5ZmfYq9Esno2uTqZmdTuaYGKS67wBQ13xK/qnd2QUMySK10uIuQQzg9Tlp6diB8pPgXKCgFx280d5OpT8ycXokiO2rwpgqgjE8DaKfdlo8m4mPy8FkDJoqV5etINPZwF1t7dza2s62aAeS+tBXamvXLmHpbRNZMfM8lt52MmVfv0/A1x20UKlYi7L2zWCmCne3z6SQUNgtiLs66EFu3nWY3zhChG58LgfFC17mqzsmsWLmeSy5fSINW7/bb115zyqILwB994RhYO2bKHvv04BJRwB7WLu2+g6a1jv5bFw7S2fYKP2+lK/XPRxSZ0fF5xhH7QFAkMCaF/7u1ustJCf17BLEAJZoPZk94iKCOMJvxm8uihVF+Rb2MyreP6cB/1EUxaMoyh6gFDjqZ9r8LpRsbCAtL/hwyO4Vz7Yfqg/ewOdC6VyP12U/YORpAJXBREBWkAM/HRBFiPDHIMQXhJfF5aPYDiyKD4SaFCwMDd0XKszlKUx7N8ALjlz2J2U9HjvqGA+iGvLP1iBpIGoGpD8i0FoaIH6IipM+sjD8ESPj51oYPtOE1hpZKY5wcGQ5QOmXb9LZWNVV1rD5W5qKfjjkfSjtVaAoIEo4+v+DqlNmYet9BsIImabjN7Lo+5Vsi7oWOSobob2CvJ7z6Xm2C0EF5gyRTirD9tnWYENDUkiZCitN3niuScnFE1UQEu01wi+js04mb6oWsyEPgVALALMyCJVtGIGdt5DofpSxg59DozGShMyFiVlYJBV66dAn3hwNFax58WZkf9A9SlFkNs2+F1tNaVcdpWF78D9+d4j4wOeG/US9FvQRc9EIv5yOymKK5j3d9TngcbH2xZtxtTWE1LO1uljVNp4ni27nQ/F5qgc/BZI6ODYwBANsacrKMCqhVgsCGvwVWex8y4+7Jfi8Es0efPuJMu0XHJjSRcb/x0JMn4gnZ4Q/B3/kKPIaQRC2CILwhiAIP74NUoGqfepU7y0LQxCEywRBWCcIwrqmpqb9VTmi7NpcT3JW0Kk/oyCGkg31Bx2kKO4mlI6F+Nq3HzDyNICgNqASFbz28JnrCH9dfu/781Bpb3FSV96Ox33gSRix5wQw7zNA11kRek1E1B7e7Gylu5N7ysuptd+JQQmafmpJxbrrOR45fQtLX9jI7FMW4K/JxKAPDZhRkDWOtKOjGPDuToQYmS2nNnPFCd8zpf8KvnmmkiaDh/RxWvpebSBzohZjYmSV+HD4s96fvzV+VydN28MFcFt50SHvQ4hKB42RLed8wJm9zqGXmMJX1ou56qQPeffJ75n77Pdce8Yitvd8EQDD5js5atRjTPlO4vg5FvoWnNa1L43aQHxcDv6qNApsczDSBwAt+Rh9r9HiTeDdpkpG71rNw3t2UOf5+wdl/C3vTVejzOanXOyYn0yKbzZagqtQZo4hoekRbjpuJYvf3M3cx3fy4jVNjB70GGW6WL5qb+CO9J70dVhprLLRWP3zaRQ9tlb8rtDMEooi427v/k5CUjDDpbz2baRxd8DeCNdy0WdIEx4MaSsMnNZVP8Ifx1/52flT8Qvgaq3Ha28PKVv41mZuO3spn71bxvMP7eSmO7w0DLgPadwdiIkFSCc/grTmE/KbH8PkDa5baZUMMkvepX5+Bs17Y37EnCLQcJSZHj0nhKz46nQWktPyGfeuhYzxWkTp8P3km2pt1Fd2IMuRycIIR44/anrmReBBgo6GDwJPAhcdzg4URXkFeAVgyJAhv/mvonJXC/1HZABgjTWgUovUV3R0CeUwfDYQweuoOWDkaQAkNWpBwd3eiC4qkvfw78LvfX/+HLKssP7rPcy6dhFVu1oZc0Yhlz8wlszC8IimYtZwpPP+A3VbUZQASFrwdiIkHrovm6IovF6/h2dqSnmuBk6Pu5mT4yRS16u4ffoqOvfmPVYUmP/iJq66dgs7bG/y7dbH6ZV5Kj38V1G8/Tu+2zWTIVMXcW17tynha64yYlM1DFUskaAzv5A/2/35e6E2mEkZegLFn+4OKY/rMfiQ9yEk9qLx0kVMaWym1uugp8HMxjdKCPi73WACAYUFn3SQdMZaFI+DhBMLsUYHV/mSOwdx2ojn8Xl9mOtG4CmOI9qgxbnTTlzHPOIKW6jRayiSNdxXsb5rnw/W7CBRp+PSlJyQ/shygIbGYlpaK7GYE0hM6IH2MCew/kz8lvemNU+F2iywY0w7MzYHuCzlebJ1MnJnDF9NWEkg0H04W6sLb1Uf0qOT8evXs6mqEdN/63l/1vcIosAl947ipHP7ERUbHmcBQBediNYSi8fW0lUmSmoMsd15VYWMoxCPuQJ51UsEvn4ccexNCKkDEGJzwJqGKm0gSnMpgikRIaU/gjGyUvxH81d+dhrj08LKzCl56KK6xwH1lR28et83IXXqqxzsVp1CetYAAMSR1yH0PAl9uxbVvDnEJbbg2GXiu5fN9LlChTEBWjb5CVzlQW4w0bfm38h2D7ohFexwzaZ31PmsviCW5JFOjnvdgkp76O9xR4ebr94v4sV/LcPj8jH9n0dz5hWDiEsJt6yIEOFw+UNEsaIoXdNVgiC8Cny+92MNsG9C1LS9ZX84NaVtjPtH9yxtam40ZUVNBxHFThDA19lycFEsCKhV4GmphqzILHCE34aybY38c9Jc/Hv915d9tBOn3ccj887CYAqPjC5lH41sTUaw1VPZEU9luQ99Rw05fROITTQd8DgBrwdEgeaAzOz6cgBk4KPmdjY7TMxY4OgSxD/i6vRS9HyA6PwL+EePyVS8o2PbRoEeL8bidLexRRs+G/92WzlX+3JJPIhrQoQIP0UQBHLGTKW1ZCNNO1aDIJA77hziegz9+cY/7kOtpTw6h9rqoAuNVpDwO8MtLxx2D564LOwbVehq1cRYFQRRICbLSk7zcWx9wEDRqgDBuWE3eTO0JI5VaHouGcGv5oeLwv1HX6vfwzmJmSFmvEU7FjP7nfMJBIJ+xxNOuJOxo675Swvj34q4fiqOnS1xob4Ku93Pk1VBz67LtCbcznC/bVdzAM8MiRfeHcKe3buZfV937IP5L6+ncFAsA0bl7/dYxrgUhl//Aj88ew0eWwsqvYmhVzyOObU7L6tgTkA6eSbisAvB60SIy0MwJ3TvJHNY8C9ChCOAJaMHQy5/nI2z7yHgdaOPSeKoq2ahtcR21VFkBZ8nENY2sI+7gaBSo8T3QBvtpeB0NWUfRyG5ZPr/U6T2Wy+WbIl+N+jxeCV2TQvQ7g4AKhByGfjBY9S9JeNtD9C8wY/ProSJYq/HT1lRE/Xl7cQmm8jtk4DBHBxHb11VzWNXLuyqO+fhFcQkGphy9Z/C0zLCX5w/RBQLgpCsKErd3o+nA9v2/v8z4D1BEJ4CUoB8YM0f0MUQAgGZhiob8SndKTESM6yUFTUy4uT9vxDxuUEbh6+tA0kdPju3L2pJwtPyp9D+Ef6mVJa0dAliALVGovexGrYXL0SlFkhJ7k1CfF5IGzEmi227VFw//l2cjqBf3OAxWdw951QS060hdb2dNuo3f8uuha+jNpjJP+UyRpmimLePuVap28HgUwv44uWN7Ot5cNLEITQ9HqDx+wADboyldWMwP7F/YyE9+47H5gs17QLI0uiQnS2g2a93RYQIB8ScksOIW17F0VCJKKkwJeccfOJyP1hUakSCEz6bO9u5ZHoeqz4sDqkzfnIM7eVz8LSdxKdjoxk/10ra8Ro0aj2KS0/9qtCBZ+lcGc249ezq/T4j+91IWmA/kd4NJtRi9wCyta2KufOu6RLEAIuWPkLPHuPIzDj01e//Bfx+L7sqv6Uzrp0e6tSQgcWnchN33zSEN25e3lWm0UokWhLY4wTLIi39x9tJfjsW0R9LvDaaQPXXNHx+LUUNJ5Ix8nTMSVlhx0zscwzjZn6Oq7UenSUWU1J4xgpBa0BIHXDkv3CECD9BpdaSPWYKcYVD8TraMcaloo9JDKmTkG5h6vXDeOeJVV1lRouW3L7d9Vp3b2HX4tl0VBaTNXoK0X2OZ+P5evydwe21y32ctszCjgUBAu59nnMK1L2iYE6UqCdA9mQNuphQQawoCl99UMRDF37WNU44/85hnHZFPsmp2fzwZSk/5bPXNjHp/AHo9zPBHyHC4fB7pGSaC4wB4gRBqAbuBcYIgjCA4BR5OXA5gKIoRYIgfABsB/zA1Yry08Qrvz/NtXZMVi1qTffsfFKGldItjQdu5PeCNhmfq/OgPsUAarWEu63+SHU3QoQwTFGhK6qXP15Icce/qFoMeTkjWLfhfSaeeCfxSamIaBAVPc7GGl6+e3mXIAZYv7yc7Wtqw0Rx/eZv+eHZq7s/b/mW+++ey3xBwL/3zVaoN+ESNnLr7P4se9eGxxlgwqQh+L6KQ947ppf26gBjikjhaSkMHfAEpY42Cl1edrqCb1yNIHKZFhYtuINzpr6ERrN/88UIEQ6ExmglJqfvL25foDdze3ohj1TtRAE+SbUxa8UZbP6igu2rGzn5H/H4t/8fuyo2ktSvhIThd/HtNXZOWxaFMUlCI5mBDgQJUk8MoE/xUv2ZAa/by9bSjymr+4bJFy3ntRotdXujFRtEiWtT81EJ3aFAnM42Op3hcSw7bAd+nyjONpTGYpD9CPH5CObEA9b9O1FRtY6X3zgLgLMuX8KnkgrbPgEus0b4ufaZo6jY5iKrp4XM6Dx2P2QAFNwtAWrq32fT1o84buildKxYg7OhAgBHbRmyykveiBPRihbEuFDzdmNcCsa4FH4JituGYqtH0Fv/Z65ThN8WQRSx/MQFY19EAaZckk9qton6+kYSU630GpxP1l5XK1tNKd88OAOfKxh5elN5EQUn13HUA9ex4VE3qRN8ZJ+pJqpAjeT0hO1ftis4/QppJ6jpdbEeQQwVxdW725h19aKQifM3H1lNcq8mBo3sIHU/uYkze8Si1kXiikT49fzmolhRlOn7KX79IPUfBh4+0PY/goYqGzFJoSajSRlW1v53z4EbBfygjcfrLkdlPrgoVqlVuPcTACFChCNFfr8Erpp5HN98UkzN7jaE6G30ST0JUVSxfecSYqLTaXfuosp7I6IgkeO6GHl1Bbu3hPv61JcHfeQUWaa9fDvujiaKP385tJKi4Nz6HasnXcrmzg6MkopeGg0fvDSe5pZyptw4m873RlL9hIy8V3NnTtKQP1VH+gka9PEimPzs2thJQ6WLV0aksMFej1dUEe9sZPvHV2Oz1TFuzA3EafrjapYxJEjBdhEiHAHaW5zs2lRPS52D1Nxo8vsnoTMETQh1ksT1qfkU2rRoFBuappUs2/AGppQELrzvHBo+moWjNpi2r37r5+Qdfxl13yTjbVdQ6WQMiQJJx4oUPryVtvxZ+NQ1DLnlQloq1bAZOjtbcJTN5yE0dMTmExBEBloTGGoOHRBaLEnExWbR3FLeVSaKErEx4SuSAHJbJYGPr0XZsThYkNQb9bnvISQWHvkT+CejeNfyruCYy+ecxQcXfsjWTjsiCtGtpSz/+nFOm/QwLvMiSuo2IkafRvbVM9hxbzyGoW4C3uAqVLw2geq9gji6Rx9yLj2JpoR5bBI+JqNjMnF1o9Amj/jV/ZXrthH4+DqUPSuD/sVTXkQoGIcgRp5xEX4blM5m5O9fw1z9HcPOGEu59WMEBKzSTfiVcagEM+0V27sE8Y+UfjmbE56agX9oEUuWP8YP69yMM99A9rTx7HiZ4PLXXnpdrMOULhLVQ40+plvIultlfJ0KLXUOXJ3hrgyODoVvV77K6IkP8O4sM43VwT7ojWqm/3M4KpWE3y/jaHNhtGpRayIRrSMcPpG75hBorLIRFRe6GpWYbqFqVyuKouw/2I8/ANp4fJ4SdLEHF8UajQZ3+0FWnSNE+BVUFDcz74W1rPishL7DU7n8gTFU2t/A4/Oyet0bALS0lrOnYg3nXnUzzQmPsFG/hkEDHuG4k818NCc0J3deXnBw2FK6icrvPsXrbEdSd9/jgqQi9/QpRI9Kx2zYTQ9jPmohGATjnGmv8ta7FzH/m8s4c/K7DBo2BNOoZtQmAbMvDVOahClNwufz89lrW5gKG9blAAAgAElEQVR1TXDw/sjiQnYuvQSAH3ujUmnxufwU/8eNp12hcYOPo+41kjQ8YkIV4dfh6HDz8l3L+OSV7gBvt710MqddMrDreR+l1pDTJFLWuJhmz3ZOnTITRVZYtew1Bp9wOo43nwRAECW0sRKx/SR8nTJLz7aTOEzF8Lf3sMV0Vld+Ym/sejKix3Fe7L3s3lGC1+ti7dJ7uo5fZ4gmecJSNP5YYnvqMcbosZgTOHfaa7z53kW0tlWi11mZeuazJCX22O/3UnZ93S2IAeqLCKx9E+nkR/72Qev0e1McxcXkMDjrcqRtlQyJdeIRBNJ6DGVE4QIqKhbR55ge9Pb3Ysu61bTq7mPY7Cco2l1CtW9vPtd9RGnOeRPYk3hX1+cd1sfo3aEmsSMH0Zr8i/uqONsIfHAZStXeQGsd1fhnn4HqhtUIyZHYIxF+G5TdKwgseRDbDfdRZO2Ofr4tcCH9hfeJF05EY9XR75brQOPDvcfJ7g/fR5BU1Dbv5I13Z3S1eff9Kzlv+utM+OQUNj/dib9Tocd5OvydAp1eN25vBeoWPanR6dR84+P7Wx1os/34RzeRlGGlvrI7v7tWp0JntVNWv42YZB3/9/V57NrUgM8bILdPArl9EyjfGRznfLeghAEjMzjnlmPI7x+xrohweERE8SHQUB0uio2WoDl1c50jxNe4i4CMoI3H5/Vj+plgQBqtlraOQ03lHCHCoWNrc/HwxZ+x9fugz/p/P7RRtKaW+z8dy5v/CTXi8Ps9eNvN6BMycVGB3VTFP05Ko642lVVLatAZ1Fx+SwEF0nIatvnZ8Nq/8NhbyRo9hYxjJrOx7R46Gyrpf+MNNPZ7g53CS+CHROEs8lUPohOSycoYwg1XL6WhvBr0cTjHvUiV9jkUZGI9V2NvPhdPWzVr1r6HbDDy0ILj2bXGh1aKITWlHzW1W7r6O+34t6h9JY+SOU4knUDhBTqKXnZ1CesIEfZFkWUQhEMSf2VFTSGCGODZfy5h8JhM0vO7g9Jk99Xhq89Fn+2kSXseAiIjpl6HWNsLSaPDEJtCbP9TcCpRHP24iY1POcmerGXj404s524nxjwGGS8moTc2ZSPFwrWQDmmpfbHUHQtLu48fCPhw+1vZsmce7SW7GDjwNPLzR6PXRzHl9KfQaU1YLcnExmYd8HvJ5eHpqJTipTD+bvibuyEU5I9heM8rSSm/jLIbzdTLcPy2NuoN91OhvpYCaSaS9W3sQnAVeFD6yZQtN9DiL8aYUUzb+mC2yPL2YuIKBuLvaKUzbnPIMUxCH+xRrcTbO39Vvkulo6ZbEP9IwIfSUgq/QhQrigKKEllt/h/l565/oGgBQtogamO6/YlFtEQLx2ILbMAqDKYtbyE1whwAtIUpDMj9J8IeP2uLPg/b34pVr3DRlOGknv4pSb0uZuPjbno800hzzIPYVJ+jJorOzodp2nAC7SWQdrqdp29fypUPj+Wjl9ZRWdxKXLKJix7OZ33pTfTLvZimSheZhXGk7WNG3dHq5KELP6VoTS0AS+ZuY9OKCl757sIwV68IEQ5GRBQfAg2VHUTF6cPKkzIsbCyq5f6GGoaYo3kmdwCCIKDIgaC5iDYOn0dBpTn4ypVGp8fdEh5MKEKEX0vN7rYuQfwj9ZUdqIVo9DoLdkcwsnNcQiE5Jz3Am2oL6qpnmBDnRC2XELfuFu6bdAKN116E2l1P4o47EaJu5KsnLibgdpJz/HQEUWTHJy+QMuh4EgccS0v+PNxCt2tBg/IhCcokdMJkACyWRDoDWjoSvqRJ+3hXvWbt06jlbDpaFLYXL8bpamOr+l3+cfZbODpqGTn8clo7yrHZG0hO6Engh97sfDUYckD2KWx93sWQuww4qgIRUfwXwufuxGtrQ22yojHsZ4LxV+J1OWjcupLSJW+js8SSN/4cYgsGH1QY2FrD8wG7nT6cdm9ImcFsxKq1U6d9AQg+9hu1j5Oe/Aqmez9gvseF2i8yJV7Cv0Mmf4aa/87oJHWiB32SQAetqIlFSyIdSrdgdYpbMURtIMqaSntH8Pd7+oTH+c9XZ3f9ZvfUrOLkE+/mw/k34fO7kSQN06e8QFRUGpK0/1e7mDuSwJrZIWVC75NBHf5++7uRmtyHgbo7WPFM8Br2vVui0fAkdvUXWITBtMrf4t4riAHatV/Q5+hH0Ncl4JWT2VnZh4ambVTU76DviQ/hrKxEIwaDq4kYyJFuxyavo4XlqM2xJMlT0IsZv6yzWjPoo8AVOi4QDLEHaHBwAn4vLcXrKV38JgGfh7yTzie+5zBU2j/Hdfe7nXhsraiNZjTGiIj5Ke72ZgJ+D/roRMQD/LYPxqFefzG5D3L1BrT+XNBAlDCCWHEsTfIi2v0isvxDlyAG8FBLR94iChwT0dWFZ6XQ6620NjuIyZ3KhkfdRA2SaY16AZtqAQA+2qjSXkX2RV/QlpSP2Cnjdvr49x1fM3P+abh9jTR0fMfaXddTmHU6lWvTOWpgeBasmt3tXYL4Rxqr7VSWtEZEcYTDIjJdeAg01tix7icXYXyqhRe+30aWzsCStgY+bw0G1Fa8ThBBkEz4fCKS6uCnWa3T4+60H7ROhAi/BI1OxejTenDBnccyfnofNFoJrU6FOmkP4ycGzZEFQSB74sNc3ObgtcZaXqxt5YytHvYExoHagLbhB7L0JSStugYxfTB2XSoBt5OY/IH4nHaKF7xMS/E6di2aTUPxcjrU34f1ozWwmRavG08gQP0GLw3L1Ng1n4bVc+k/wGhIZOigqQD4fC52Vm/iRWMC+ph0EuMLSYjNI8qQQ80n4Sln2ooD6BMjj7W/Cm3lRaycdSkLrxvJikfOo6V04xE/Rv3GZax68jIat66gcuUnLHtgGq1lWw7aJi0vBq0+dPCZ1zeexIzQAZYs6XAaPgxrb1ct5G2fm9mtNbxiq+Lksu+p7OWgrTqApIW8e9dQIl2LTdmAhzralfAVXK9pMwP7nozFksSx/W5AdkldghjgqEHT+fiz2/D53QAEAl7mzruaxqbwVE4/IuSOQRjYbSEiZB2DOPicv73pNIAckKlYEIzAb84RST7bhk09HwCT0BObEn7vKeYOimemU3JnGidmzmPyyC8YUfgCi+Z28vxjTizusUiYSBcvoyLwLI3KZ3Qq29mtPEhZYCYBJXhtFEVB8bkPua9iTCbSGc/CPtdFGHoBQtIvWyVu2bWR5Q9Op3rNIuo2fs2KmecHU5L9CWiv3Mmqp69k4XUj+eahc2guXver9ym3ViA3lqD4wwM9/VVQvJ0E6nfQsf0bvp15LotuGMuWd2bS2VR92PtqKdnP9d8e/swR+0xG0ZhIbhyEhJlY8Xh2Bx7CKzfzZdNwmvzhcXQ6xLV4E9NI1aWh1XYLY1FUMTTzGpaPj6PoGYn04zUkTLNh13wUtg+PVML0jBV8O8LN8GmFeNx+Vi2o4MOnKugo7UWu9gm+fCqHuPh0VBqJhipbSHuNTkIUw59hP32GR4jwc0TumEOgudbOwFHhM77mRAMlO2qYlXA0BXozz1Tv4pTYFPC0gQQIKvw+EZXq4PndtXojHqfzwP7JESL8QnzeAM31Dr75tJisnnFc/fg4kvIU1NHriTY0cO6l9+FoE3lO1uwbCwO/orBdcZN336uIsoTBHoc+73uE+Hwca4M2nUl9R7Jj/gshx2tcv5q0U0dRJ70TUq7x5vJ29SaGBQooPUvGmCaRc3Ff0C8MqSd5BrB5kY6C4aciiq8wps89ZDRPIWWPAV2OiwVb7qe6YT3pKYPpk/8erUWhK8LRPSXMGZFV4r8C7vYmVj19JZ31wdW5ll0bWPHohZzwyAKMCek/0/rQ8Lk62fHJv0PKlICfxq0ric07cBqcrMI4nvp8Oo9ftZCK4hYGjcnkxqdPDHGjKXV20OpvQC32B03oAFMd6M0Opw2LpOLOTDNZ+lY0mh0IfQpIHiPQnt0dmM6llBMnnkCzsjhkH7G+UWQmD2BQ7j/YclcO7mlfhWwXRAmPxxFSFgj4sNnqSU7qud/vJUalIpz1Asro6yHgw29IpLZsB/ZVX2FOzsYQn4Y5MQu14cC5yP+K2MoD1NXuRJttIHWqnt3qbdiaM9FG5+EWt2NXtmIVhtKkLAhp1+rLQewpkJ7eRNz4YpKMDjocNYxOyWH4iSPwllbTM/c1/DH1+GgJaVunvE+mcgOqGh+tpZvoqN2DOTmb6PzBGNP2f332RexzOsJ1eSjNuxFMCQgp/RAM0b/o+1et/IyQcL7ArkVzSOw3ElH8456XHnsrq5+/no7KnQC0lW1hxcwLGDfzc8zJWYe9P8VtQ17/HoGFd4G3E2HgNKQT70aMPXC05T8jSmMJ/s9vR9n+BXpDDMPHXM/abwRKFr6GpNXRZ+rNhzVWrFz5afj1X/wmif1HIYoSfqWTdmU1jVGfor3yJOI9Axjim0exsNev2H8hs6raGGxNRlKH7tsaOIaAXkXqECs3DXuHku276WhvI1kYCeXx9LjGRumrFlqLXBwzyohWzsMphrodSEocPrzMai1h7t3DqFnfyMcvrefGZ0+k0+aheH0dV808gfXL9jCjz0todCoue2AME87thzlKR3p+LFOvO4q5z3RP9Iye3IOsnnGHdd4jRIiI4kOgpd6BNSbczMgWKxBTHMAsqTnGEscLtaXUeV0kuptACj6w/H4RlUoOa7svotaApJLw2tvQWsLDzUeI8EtoaXBw19QPqSkLmuC1NnSSeXQd9H2OUnkz0ZqRxOVkIQbW4CnuF9L20mQLA2Nep0T+lkTxDBzWWGJNY7BozViz+lA4+SoEtSYYdCbQfX93VJQwuOMmbNEb6RSKAEhxn0by8q+4qPINqnPm4W5RcLf46dc0iY60t/CJQQsLNXFY3Gfy4p2fM3B0Gtc/upJtt8SzbhNAgD1oGDXrBT6xTaSqdj3HnrqT+q/74LMFX/bmLJH0CSJllatobCrFYk4gPW0gVkvSb3+yIxw2jsaqLkH8I157G46GiiMmihHYr7mhIP28EBg0JouXvj0fR4eH6AQjxn2yCLjkapyql3Co3iDXOxcbH3aJIrWciuAfR7m7km8GxmPQfIebKurlj4kbfBnJp16MLHRbOQRw4MdOLONpYQkAFmU4qo5jcAhqOjf/lz43JNNU3RO9zorLHQxAI8t+dDoLbnf3qolKpUWt0iLLMuI+5uE+jxNRkJA0WgStCSFtIB5HO+tfuYPq1d0TUznHT0cQJAomXfqLRMmfkYBXYfurTup6LiBhaF+a18dTt7WNmmd70+OphynT/QO7splEaTKdgWKclABgkM9jYXMiN9xWhl1cjn3vNYw3T0Dbdz0KZ9BUl4rztRfJvXIi/GQeQUSNz+Gg7MsP2LnkP13lqYOPZ8hlj6KNSjhovwW1FiF9CKQP+dXnQFSpw8t+gRnukaazsbpLEP+Iz2XHUb/nl4niyjUE5l/f/XnDe8jWFISJD/1lFhwUvwf/0kdQtn8RLHC2ovvvvfQe+yjf7iliz9fvk3fS+eh/5v7Zl/1ef5UKgeA5aZGXsjVwQde2Su0rHCV9jUr+0TJGhU9ReLfOwpWZV9ApBUNK65RsMlSXsjnmbBR8iGhJyJhFNKcgZC+gMf55JLSMOOcxfCX5SIqeVN+DlGrPQiHoxqDzHY3g6sP9tGEs86LUtDFz3hS0RhUx8UYMZi2eQIAP/28tc58Kil6fN8DTN3xJQoKVvr1zseZLnHv7CAaNyaJ4Yx3ZveLpc3Qalug/h3tAhL8Of/xT8U+Ooii01juwxIb/uCqi/Giqgz9sjSgy1BzD4tZ6zvc2gySiKAo+L0iqn0m1rNKh1ahxtTdGRHGEI0Z9eXuXIAa45IkcnH2vIUDQVL9VWYZXbsYo9uDCFIGv9lYVgDMSWlDEPaQIM6iUXyGAnQ5xNemt17P2mXvw2FvpN+MOcsedS+mX3T6KhvhMOnfr6ZH2EAFdLZrGCrSrlyPu/AYVYMprA4Iv2pVjkxg2/1OU9J2IGgXZlsuNI4Or0Bu/qca9azytm0K/064nEhl6z2VsqZrLbus6hn6ZD6uiMaZIxPSW2Fr3Fh/MubGrft/eJzPtzOcwmSIzxn821HojgqRC2SdXLID6CPoVq3VGep1xLStnXdpVJqm1JPQ5tJQ5UXFGouJCzfRbvG5ahXdoJGglsUdzEeme/8Mvu1AUCY2jF+vqtHw1sB276kbq5WL0ZJIn3cUeZtFj6jD84mlEcTRt8gralG+pld+hr/w+mm//ibnAB4JC+aaVaE2xxOeNY8P/nUTv6Y9w0dQP2FD0Hg3NxURb0ph62pN8vPAuUBTcHjsnHn8L73xwFdNOvJNcrxNfxjHU79pGyRevoTFFUXjK5cT1Go7sc+NoqAgRxAB7ln1Az9OvZs/y9+k77da/jJA4GJ21Aaq/9iH3bqc9uRNHnJXRo/tReZ9AwNGPwme/wqMpwStYUfMarYFyfLKG/9SreK5ARalwIw55K1pSyZFupzLwAjnSXch9bTjlfpj7jqB5+TYMEwpwSiVdx012XoC/UaHs+yUh/alZ/18Kdq0hNn8gYlTq73IO0o8+hdIlb3f/1gSB/IkX/qGrxAAqvRFRrUX2hZo5q42WX7Q/pSrc9FreMBdp9PVgOnQR+Uei2BtRtoS7ZBjk4HvbGJ+GSnt4QfEyjjmF3UvfCb3+J12AIIr4lHZ2B2aG1A9go43vyJCuotm/GNTvcmXqTJ6tbqHaM5aLUsaSo5Mp1MewST4ThWAKJRkPjUm30TP+NYqkYGbVeHEq7qRl1CVcDghkeR4g1/4lTnE3kmImUN6TqtctlG5cRtHqYPyE+BQTzy45l/pKG9s31KKO0fDlnHCXl5ULSml4NI5el+jpeaGBY08p4NhTCg7r3ESIsC8RUfwzODo8SCoRnT58pq3U6MVY5yLgl5FUIgNNUUFRrGoFSUL2+xEEEIXwnGshqHVoVCLu1gbI+Pvni4zw+/BjhHSfNzgpE1/Qjp9Q33WHspVk79Uk7VaYmzGY122VWFSQaViDKIxnd6A7LUOzshiNIZG86bNob1VA10Zsv4n49Zl0lq1CndAbddLRbN+tJlPSk1U+H9W6bjPRpqOvpCHLx4C7dQguEUdNgFWToul5+Whe+uwDSrZ0v/RMVi2B8FhHuJtl0nuMxDNwBP+0dWB2bOaeUb05MycVV0cVn3x+V0j9rUVfMPrYK8k3jTwSpzTCEcSUnEPvKTey7T9PdJXlT7gQc2rez7Z1dLgp39GMo8NDel40qbkHnkxM7Hsso/71DpXfzUdjjiX96EnE5PQ97P66An4Wt9Wzw1nOyKS3usr9tLBHOw1r3c1UL5iIPDeG/OvbcfS/Gg/B4C8uKtgdeIR08RI6WceewCxEDGSLt5EuXIVfaKe1qQTHqqnEmP3s/u5B6tfPR9LoiD3/fjJGzMDmLuGDuVcQHZWGxZzIwq8e4dyTnmDGwJtwttZjzu3Nip0f0tK6h8UrX+FiUwyNzS7WvvVoV1+bir7n6H++yK4lb2FOyKTP1FsomvdUMDgkdP1bs3oxhadeieYXipM/E5JGQDdGoWjoDJ5trkAzvIPbrInE/yBQu0imdlEKkIIuTiB7tYcvWlqocis8mRuPTXwUh7INAA817A48QKZ4PW5lD9XKHArSngFVD7Y+8ST9U25E1ctLJ9vRtxdChZVAlIfcccE0NTs/ewkl4MecOZDaJislOzaRMkggs1fyfv0hjyQx+QMYe+8HVK78hIDPS+axk4ktGPybHvNQMCVl0Xf6rWx+q/s9kz12KpbUXyhsosPzcwuJvUBz5AP4/VYIWhPEF0B9EVjTQFJBazk+UY8oqek741bU+sNzb4jJH8jYe9+ncuWnBHw+MkdOJjZ/EAAKARTC/d0Dsoco1TCGqBbS6Pucs6PbyBZzmdvWhsZvwqJ9GxeDkNAh0+3GIePEoy4BGSSM6EijXH6ya/se7e2k1r7A6jEn4ncGy5KOVVBrghM0Q4/Ppu/RaTRWdfCvqR/RafNQODiZpEwruzY3hPQxOTkG97cKP9zZSeLRahIGhY/TI0Q4HCKi+GdoqXdgjQuflesM+GkSfCTE6GivshObbWWQKZrX6/cQMLSBKOLzeFGpBQg4D34QlQ6NpOBqazh4vQgRDoO0/Fiumnkcz94UXH0NuMLvYxEdmxboefTs7+g7bDez3x+FPf5LtEIsTmV3WP0m8TOyzafj+GYhe9bOQ0Ghz7RbMZ99G98EfHzqaKIgAXqW+ilqmUrigDPobGoifWwe92BnarOFHD8IKoguVHHi+zrqNnYSl2ChhPqu41x4X19IrsacnUf2qVrMGSItW/2Ieh/fxxh5qjYY8KPd7+PShnWkx+vp4XXi9XaG9Xlf89IIfx4klZq8E88ntmAwzqZq9DFJRGf3Qa0LD6C2L21Nnbz0r6/57PWgGYE5SsdTC6fTZ1jafuurdAaS+o0kqd+vmxhZ52hj2o7VnBEXxRglDYTQaKeyK4a3nlrBv67LQWWp6RLEPxLAjoCEKOjQ+i9iu20Ss5oEBphMnBwnURCfhDdRRe03EmL7PfSdfDLbPrmUja/dweg732Z7xXd4vZ00NBbT0FjMaaPvYNecx/C0dee4H3TOP9lVsZJ2RxPOiY9S8u87Q/qgKDINW1aQMvB4Nr/1AOaUXLLHTqXs67mgKERl98Fet4e4wqNQ6f4eKZqMKRJ1F3ZwT313ALIbmrYw+7phCEu0KDJE95Loe40Olb+TG7M+pt55Nk9Vd+BXLmV64oVEGe/DK2xDxgPIiIIWH800xXxEsvsS+p/7LxLNWbiLHejFXpQsfoeGLd9QOPlqrJk9adi8gj5Tb8bZ0cn6HXk8eOpyFAX+n73zDo+qyhvwe+/0mknvvUESehNpIqAioqJgQey9o4h1sddV194rKiqg2CgKKl3pJZQQQnrvUzJ95t7vj8GEGFc/V1zW3bzPwxPmzDnnnnvmlvM7v6bW7ObRxdMZNeXP1W6JooKo3CFE5R57QfhIRFFBxonnEZ7eD2dTFbrwGCzpBagN/z8hVg74kCs3Ie35AjQmxD6TIHsClHwXqqA2oDh5HoL6r2NGK+jDUUx7Hmq2ITcegKAPxs9FYc5mwiOTsaTm/e4+Q7//UKJye5riq4VI0hS3UhTsMjsXUKNuTcPjr0Crjce/PobW3R8yLDmHqWPGYjWLfNM8jW9bRUZb3mRMRBE+9d2AjAITCskChFKU2eStPY7pSv6C8L5TaN4e0lxHTPRR9Lc6rnvsRMJjDLg7fKxbUYLTHrIgOLC9npPOL2D76orODABxyWGkmlMos4Xcp1y1Egz+3VPTSy/d6BWKf4O2Rifm8J55hg+5O0jQ6LAkGmkptRGZHkaUSoNRoaTI46SPUonf60WhUoD06xEQBZUOFUHcbQ2/Wq+XXn4PSqXIpPMLSMmNxOMKkJqkxsUMGlncWcfSOIdX7w/l36yvclC7dRtp40fTpFiITuy5666TslH6A7Tu/hJZlsifcQvW+nIWptfyqr0FgO+BpCwd9yniuOOC7zlv9gjq/BqikcjdbqH8ax9t+wKkTdGAALH9dZy4ZxzjHh6A0+Mi0mxBN2AzokZFwbUaZEmkYpmPgEsm514l77e39BjXKmsjWVEJZKaPprR8Q2e5WqUnJjr7KM9sL0cLtd5EbP7I39WmeEdDp0AM4LB6eO7WlTyzfCbGsF/PCf9H+NEW8hn+stXG1Yk3IWgv7TQb1MoZiOJg5nwQgUXXgVoVThPqTr+5n9AJWbQE17Ci8Tyergn19521jQWNKhb0K8WSbGbHnclkX6BBDB7P0MsWs/+rObSV72FAxhgUytfZVPwaUwomow1EsO0IgRig7ptFDBl1OhExGVSv+RLFLwi2CpWGoNeNPjKeAROnEqFXkJt2I15zKs2NrRxaOZ8xt7/1H+FzejTwSUHed1b2KF9tqee8GdnoI0Wih6ipXOFF36jHfs5tnFm+rTPw4JIWWJx/P3rjDEBGK6TRKC0BoINCfOE1aIzhFH/3CRU/LEVAIG3sNDJPvpiKdZ/QZ+o1mBMzqN26Ev3gm3jn7+u7xuYN8vBlX/Hutiv+Z1PHqHRGYvJGQN6I391WLl1L4I3TOj9La59BefUKGHsTst+NENsXMfavZ30nKNUEls8LCcQAOz7EfNUKxPSCP+V44YFTiW0K4opZiFaOJqVxJPr3rsOZOpX6lMsJmEcQnuMjLC4RZ6yDe8o1fN3eBsD3Nhjams6TfS7Hq1hIrut1POUxiPl6vHIdEeIJtP8s1qyJQcgS6GIE8q7REMhs4baXJlO0rZb9W2oZfXoOCoWASq3g7GuHojdr8Lr93Df/DOoqbJgMejQVUVQ8d/gZJUAgPkhAllAKvdknevnX+e946/2JtDV2YPoFZ/0yj5M4lRZzvIHmUiu5E0PRqQv0YWxshz4KBX6PF6VKAdJvaYp1qAU/rtb6P+MUevkfxd7uZvn83cgylO9vZvd6LWfPvR6NZgQeuQHJZcZZlYjOFLJQmHxeKo6SpThiDAjHqQnKTszCUOxyyE9LREey60Y8Le30PfN6dBFxNO37AWfGAN50dI+8WuNz0xwBqX0icTq8uN0exojRuGplXA0Swx8wUPy+h8qvvaSdpiaxn4mt9ymASGIuDqAbZ0RdUYDfI7L1fify4VhewScVpDyg44C7uxm4LMPwvRt5/5T7Mf3wCvv2LSM+Lo8zpz5KbEyvj9FfjYDXg73mIB5bM4aoJEyJmYgKJY1NB/FqtzL3g2icTTG8e18JLoePom31ONpcf6pQHKsO9R2QZa48AI9mfkC6rhaFYGB1WzQDgwLFe+/jk9IV9C+YygkZD1KmvLOzfTKzcUh7sfn78WJte7e+G/x+Kl3pRGYVEzUwHUuWkh2Pu/Fa08g6/33MMR0Itu1kt5VByt/JKH2IusjjAQhPH0Fc7uUEnHqUpiZUOSKmgI8dWxYx+qp7cd51WqUAACAASURBVFUW4nR7Kfr+C4IBHxpzBFJQYuTZF2P65jaQAmgAjTkBy/RXSR/xPtq4zD9tHv/dKAWRDJ2BzR1t3cqjZCfN4x9huPE+NtzUQfJtTj76Yj1tY9P5eb6I9xsUzM0eiEkYgE3aTJv8PQDh4mgadB8TqZ5FxcZQ5GoZmfK1nzLgknuJmH4RXkGk+M2nyJs+m5KqVn6OtcWFtcVFbHIYbS2V1DXuw+lqI8KciMGvRG+KxJSYhUKp/lPm56+KHPARXP1098KAB6nke5Qn/e2XG/1FkAqXdAnEALJMcP2LCJljEY6yH7jN3kBFxQ4qD/k5Pu9+zCtvg6rF1Ax/gUeektm//XMUCoGzZw/jjAlpVAlFfN3e/Tre1uHE5ZlFdsVl2HalYSuXiKlZhjK3CEtcDC2ab/EJofWtWk5Ar5pE7nsKDH4v1bZWFC0iT12/Aq8npDle81kx97wzhWseGc/C57bQVBOy9sobkcBpFw+k7GAD+b54JL+MqIbkh0UuDmziQWs+E8Jjj+r89PK/Ra9Q/Bu0Nzl/caFV6ukgTq3FFKenqbhrgdNHb2Jji5bLFSr8Xi9KtRJZcvGrHkMqHWq8WHuF4l6OIqV7mwgGZF6btxqA7IFRJBy/Hnewgvr6QzQ0hKJ+Tpv9Jgc3plIwKomk2IsRtSo0gXTaFSsxCn2JEk9CKRvRkErVJxuILRhJYkI0ogKspgji0wvQttXQEeweUC6rj45LnghQ0hpkn1VAmS7Qti9A38u0bLnPiXT4nV+x1IcUlJnwmZGSGDu7TDb2eeK4bJ8eqTXYKRADtKwJcp0/B7spQLnHSaPfS7xai06hoC3gZ0pNFQsn3Ms9Ux5EqzGj0/31fSL/1wh4PZR8/Q57Pgz5wgoKJcfd/CJCchL7t3+GWdaToJexZzRz/XP9efKyQoaOT6Rl56cYVCdgTvpty4DfSn8n+1zITQeR3e0IkRmIEakcHxZJmkZPhddFldfLJUU+3jKN4cBbxeSfGUtz+3ySMocxcOCZuNqq2PZuOhHZb6CLbsHbFs4bLzm56uVclMaKf3ZUBJ+WjGkattzX5QZQ9JoOjUVADttOnzg1gfoKlg56lKH6RqL7TELt+RubZhtAgLDsfEbNa8IYv49xF9+EdsklGDx2onUWki5/inZVHNU/fEnumFMx/PgPkI4Icmavg/J1qNpKIe66/8cv9ddAAM6ISuCL1jpch32mI5VqBvvaSM6binenSOpMeP3VFcjAL+mZFKhJczyJ27SDQ/I9oT6ECSgJQy3FIntlEoZOon7napQaPdEDhuNqraVa08KPNTsZN+1yKtcvIW7sXYiigCR1id1xKWEYtC7Kt3/N8s0vcLBiA+mJgxmWPZUIVQT2sv04GipJHHbSMQ+M9R+FLIHvFxQO/t9QQvwV+KVz8Dl7pFX6Q4fwOHFaG9lS+AmGoJJ+sXGEte9DrtpGMG4QC7/Ss397yE0pGJRZ9PQWCs6OR+ijAnoGj5WsFlafZiRyoJecc7Wsm5UEJKHQwPFLP6Oh7y4CskycOpFy+RLaDK+Qac2lYZOd1jpHp0D8Ex8/s5Xp1w/rFIgB9m+u47iTMtm5tpLUq6OI/yyaOnWAbXobZ9SbKNvfzNCh4YRpejeQevnX+NOFYkEQ3gZOA5pkWS44XBYBLATSgArgHFmW24XQKuU54FTABVwiy/KOP3uMv0ZboxNDWM8brNztZGJ4LKqkIAdWVnWW5+vD+EQIA6XqsPm0EoI9/Ry7odKiljy423qF4l6OHj5PgGXzu/IB3vRaLsrMg7iNZfRz5xOoPo+FHzyKNqKV7aub+Oy1Hdz57BDSshTYXRb0I9xoiEOWfdTLnxDdfC8KtZYobYDgoR+odFuoWv8VmsJ1bD3zBgotscx2Wqn3e0lW64jXajHt+AeDPXYyTvsYe2QktnFKJD9IPlCZBfrfqCPglJECoJQEtmhaWNXexLTIRAKJAVT27oEzEs8L4viujiEbG5gxPI6+pxWwPcJDoBFu0eTwXrCCZxrKOa3/OJRirxnVsUSWgshNB5DbKhFMsQixfRHUv+2naq8t6RSIIZRXeP8nz5FyztV4v/maquZQhFJdZDxZM/syfFIaMy7UUbRwDnU/fsq4eQtQBzrA0QDGWMTItM6+HA0V1G5eQd2O70gYPJGkEZMxxnV3E6gob+RAuRMVarI1bmKXno9q2jNkp43gq5yhbHe0YfPKyLs7+PiiFTRW2kiMMpKWfy4Rrfto+OwFpKCflBEGlr9pZNUnLYRFOrn6riw6fqjBnGBhcXwSZ9aV8tN+T7xKTYauCff2EbhruxachgSRvKt0eNt1qDV3YDW1E+bZx/ZGJw8m+vhy1MOsmqEgYbyP1LMOEJSL8YclsW/9t4hygPSxD2LZ/iJC6yGUy24l7MIlRA8dgHhgMZL9F943HhvBwiUIBacjWn7ZR/uvRpXXxd1le3gjZwj1Pg/moEQ6Igf8LqQyJYfWfk/ByETK9jcDcJnNRIPZwbUyGKzNuE0RWCxxFC2IIHGIjrThcwAJm7wFqVmF7+twdm94CEN0EsOufYJAdjUtkUsg2MGYtrNo/DEVY3IWLRu+waJr4Z7XJ/L07LW4OnycfWk2V1wTjqZjGzallurGvSTE5XN89Hgq5j9H7eFz6HPm9YQl98GckH7M5vE/DUGlRRw3m+D75x9RKCLmTTl2gzpKiAOmI/34ejchWDHmBoSj4NIg+920HtzB3k+eo72yiLhB44nI6E9M7WbEqGS8gy/CFncKG5/pWtdGJxq5cm46MQ37CVMZeCkmnuubup4fww3hxJZFYr5YQFSDLk5EZRLwO2RUJgFPMIFDTisZ+grqxSvRHppN8xdO1m38nkHj00kfk8P5UbHsX76b3d+FYpnIkoQhTGDUlGwqilqoLQspn6oOtuFo9/DYlUu5eP7JqBP1bJ2+loZKG0qViP6xE5l25WD0Rg299PJ7+Xdoit8FXgTeO6LsTuA7WZYfFwThzsOf7wAmA9mH/40AXjn895jR2tDRI9eZLMtUe13EqrRISQLNJV1pb5I0OqyoaNJYQppilfq3A22JCjRqRa9PcS9HFXOEDq/LT/aAWK56dDhCv4dpEb4FGZzaIjSZm5l48mW4GlRUHWxGb1KTkGZB8Bxi8TMyZ8y9CCmnCGQRe/H11Frjyc09BWXlYko9ERQtD6Vi8jra2PbizfQ//04+Ss7my+gU+hrMuBxNiAPPQVr3HBGVC7HsrqLphNdo3xbKGzxgtp7C51yozBAzw8vuDU4mq8JJy9FzxaEdPN13IOMC8Sh0EHRD5GCRwsAWvrg7tE/247JDJH+wn1sfmk7xHAWpOoF370igdEx7r0D8H4C0bynBDy6AYMjvVnHqw4ijr/9NwdhjbepRpo+KR2psJH3cdJBlnM21VG34HE/pbq64NofihSEzZVtVER2HtmH+/BJwtYEuHOX57yD0PQVvSzVbX5lDy4GQO0DLga3U71jFyOmXo45MQkzoz66ids591EtpvQjomTK4D0+c9Qxpn87mh5iniNHvYWRCDg/PKWff5lAgrUHjUqkqaSM3pZ7SFfM6x1y14gkmnXwv65crufvpXJpXzeXQplBIdVNyNuuuf4QHnV4GGFScHq0mcncG6+6OoOC6rmu33w26kFWFH0CJyhjDyNcj8ZprKPY4aWtVoouBpDNXU7R8Hv1n3c2Wl2/sbF+99VvG3PwPIpZeAR47amcjfHYDkiEacchMpLXPdptnISIttJlwFDVS/wmcHZ3EM9UlPGHPx7nXRo3OTmq8gUUPbWDkKdloDEriUsNoqLSx75lCnrzcScnHj/KTjkqccgWKaZfiWZ6OYD0ZIW8TYeqzaFq8leofvgTA12Fl22t3M+Dhq+iQ99Ah7qEtajXJ6XdT+enbjL7ucfTKIKlNL5L91XUEnO2kNX2E4uNQjIcIrZmrT76fGoeHpuWf0ffM60EUCXrdlH+/kLgBY3uF4p8h5k6EixcirXsetGYU42YjpAw/1sP6wwipx6G8chnBtc+B341i7E0IWSf84X5lvwf7vtWsf/Z2/IddkKo3fIGnrYHkglTqA2GUtpvQRfrJHx7Lui87UKkV3PF4GvVLb6N4Q+hZntZnKCsvuZu/d3Qw3hTBCe3JbD3Hg3xY2Vv0joexLxhpPxBECkCE109axClIgLH+Fp6a7qe6eBuJGeHkDo7HVtpAQV4sseb+nHBaFo0VVtILzJQWttNUY2fQuBQmX9iftx9aR0pOJGuWFAFQ+M4BEnMiaKgM5W4P+CVevO1bCoYnMmBUyh+er17+9/jThWJZltcJgpD2s+IzgBMO/38+sIaQUHwG8J4syzKwSRAEiyAI8bIsHzMVamujk7jU7gEwWgM+VIKIXqFAjtTh7fDjsXvRmjWIgkDfQCtbjRnkOrwoVRpkqe2f9N6FSqMn0NJB0O9Foerd4erlj5ORF83MOcfhdvqJyLDSIPyAUSjAI1cTwIZXrCUxM5E1X4fSO9z9bD4G/3b2f/Ic59/wIfedtxZZVpFeYOHK58yY8/diMsdRn3YlLW8+QN70m0GS8TraKF+zGF9HO47PX8E54xYwmLH47KAL3TuysxnB5yRmUV9UM0tJnmzEVR9EZQH1+bU8/PByvJ4Aun+ouPntKcQlabndv5tHh0qcND+B9vUS2pE2nj5zZ7dzrC5po+lgOz5bJD6bTOUtMGFxYmhb7WdUe1xs72jHFvDTR29ikDEcda/w/KcgtVUSXHR1p0AMEFz+N4Ts8QjJPSOgHokhOglRoUI6om1E1iBcteWUr14Isow5OYeCc+fQuGcDzoqSbnWFhj0hgVhrxp9/Ft7SLai06ThqttJyYBuCIGKMT8fXYaX5wDZam6cR/c08/Od/hLWqhXsmq/hoexSrdgss2yFy+mAzqeEpJCf4UCqjqd+1mqA/ufN4wyem892ifQiDinqci69iOY9/fif2dc8S9HblGHNUl5BauY5HRh1AiYkWeTnmjMVMetmGKkqgdLGAJlJB3Vr/YYE4hL9Dpmmzhq/OaKc/YcQPqCd6fhs+j5LofqNoLFzf7fiyLFG+5Xs0pz6HYekNBAGFLENHEzhbEE+ci7TpbdCFoRh+KdLuTxHHz0X4L9ESAyRr9CRr9Nzly2bVi5tY+VkhiRnhTLlkANkD4nj7oXVo9Sque2wCL9/1HaPGGij95IFufTQue5P84aOR84bQ+F4qzhfSSD61kZof7+tWT/J78ddIkBD6LONDnaPG2VCJtbWZ9qAfQ/5MtAEraq0M9Uf4jXrsJGxfgGbSI7SfoOTAFy8jBfxkTrqAgRffi+T3EfC6/l85aqVAgGDQh+p35rM92sjBAHJTMbK1CsEUhxDbB0F19CJBC1ozin5nIvY9FQTxqGhS/xMQlGqEnAkIGWMBGeEIf3LJWovcdABBVIasb0y/nX/Z0VCBu60RjVLA1VjZKRD/RPP+zTgmX8Q+lLw0Mp1tXjcv35rFvi2NDB8fi337q92esW0HtjGweRMPDvqGeOstVL2VglIv4LeHNtNEBTgbJHwBiagRIt9u2kle1sV0xMynvSiH6uJDpOZGMvHcfN57fCN+X5DcIVHc+WE+rY6DJA4NR+2N47ErQ5kzSnY3ktoniluePZnCH6oJ+EM2NhExBkq2hcQDjU5J3vBE7K1u6iusvUJxL/8Sx+oJEnuEoNsA/OQZnwhUH1Gv5nBZD6FYEISrgKsAUlL+vIu/vcmJydLdp7jK4+4MuiKIAuEpJpqKraQMC51GtreZzYY00purUag1IP2G+TQgaPSoDVrcbY0YY3tv5r86/67r89fQ6FSMnJzFgxd/wZgLc0gRr6VD3k+EeAICIpXS86ilVD5+spC8obEI9cuQ9FlIQT8KsZYTHzmPCIWbsdO3UGM4B5BxAHne9zAnZFD06QvIsoQ+KpH+59+O3+XAVXuISDmAQhAI00dAMIhi8kPIujCkz28FIFj0Ni19T0Hf3oeYGR4efHBZZy5lt9PP81cs57JlE3mUCh7w7kNtVDAgPwJPsGcuRQDVz9yGW74LkHNS97Jqr4tzi35ke0fIqkMAFueNZGpkwtGb8L8Qf/r16WwFd3uP4kBrFUTk/Gr+W1NiFsfd/AJbX70dv8uOLjIeU2wK+xZ1BdWxVx+krbSQ5NFnsfvdLsEkY+w09GVfI8X1p6nPhexe/iE+exsZ430kD51IdP5I4vqPob18H9qwKIzxabR649APuYYtz96EraoILXDr8HPIir6CV77VsLdWTaD/SNrsSnTuEhq2fM45173Cg1eEAtQl5CqZ/WEE4h5Lj3PRxkQQM3gzzUvKe85Fix+1EIFDLiRenIlCZyVm7zTEEZdxyosn4XCmsvctDUPu1iMHAQHkALS3+hikM3JLQyWbXrwFv8uOISaZQZc8QMXaxT2OA1B1sJiM057F09bKT1u80rYPIC4PxTmvIltrCe5bimLUtYi5J/+qv/WfzdG+NkVBQCMqMNX5WflZ4eFjQHi0ntfvXQOEnjtvP7SOeUtnYKSS8u2+Hv0oPNsIG9mMZ8R7pDEeU9M4KnaZ8XVYu9UTdd39fgMdLoZd+3fsNYfY89ETCKKCvmfdQNWGL9BFxDHo5CfRfzM3NK663QRrS0N5aGWZgnPnULFuCYe+CRnaZU6aRf6MW9CGRRHwuHC3NaDQ6tFHxHUer7VkJ8VL38BRX0bGieeTNOIUdMco+JC053OCH14c8l0XBBRT/4448ioE1dENiCf8G4OQ/Tvf7YKyu/uQ1LCfwNtnQVvoeSKkjEAx813EqIxfbO+xttBycDvbX78Tr6MtlOf4vFuxpOVjrdjXWU+h0uAxxXCFrYkmZ2i9eolYzAOfT+AkQWT/8z2jt/vtTiLFE7GFfYni3scZccm5tH4wlrABbjQnfItbs5c4z2R8dYNYMGMLs5OmYTrncwiGnpOTzivgnYfXEQzKRMQauPF9DTUpZ8JhpxKz+xrGnd2HtZ+GRILKAy34fUFWfRwat1IlMuXqQTx38zecPLOArP6xbFxWQlrfKCJif18e5156+YljriY5rBX+3bZasiy/LsvyUFmWh0ZHR/8JIwthbe4pFNf4XEQdoc21JBlpLO7SBud66tmsT8Hv8aBU637bp5hQWiatwYirte436/byn8+/6/r89TEEEGQPOUPDcYR/QIX0NC3yCqqkF2mT15Aq3YmvKZ3zbzmOi24fgq+lBEd9OeEZ/WjfsojdjSKeeA/1hjs48hZ11ldQuvJ95MMRsFwttdRs+QZteAwxo6YSGR6HSaFkenMzRVE5BL++N7TIFkN7cD5FOAteXo9pmA+36OwUiH/C5fDRxxq6556XhmC60EzxLX6ayzoYf3Zf+o9K5pK7RzNr7vEMGJ1MhLm7JYcppWcwmp2O9k6BmMNnM6d0N82+Xxa0/9v5s69PISweLMndC0UljZXlrHv0IloO7kCWQtfPT387q4kKkkZM5qQnljPh0a848a63cNSVYIxPJ6ZgFCp9SKBuLd5OZHpfhp59JX0nncvImTfRd/BgFDVbsBfMYtP7T+NurSfo91Ky8gPqdq4meeRUDi57C0t8ChkZiSRat5Bprqe0+CC2qi5Nb/uWRUxJL0YhwtBskWqG0tBqYEdJP7TjXiWzQMuCDSfz+LtjST1xJ+1ZV2EaFtk5NggtNOMmDaFG/zqJY0/pMUf6bAs10hvY5M1USs9Sp/sK50WLkKu3YSh7itj2O8m7XE3h8252POFix+Muit510+d0DQ8pVRS+NQ+/K2Tg62yqZtd7D5J50kXdfwdBJCKzPw37t2D1noDL34/Acdd2VWgpxdnayL5qO8EZb6IYdhGC+dhGbz3a1+aP9hb0ogKPq+teryltx+Pyd6vXYfOyVmXjizAF+qjEbt+pdCaEGDcVwafRCHGUyQ/RFruEglm3d6tnyexHMKWmqx2R+Epkdr//CKaEUERvWQpy4LOXyZw0C1FvpM4BclRW6LuB54EkEWivIf/cubSX78NRe6izv9JVH9BashN77SF+fPZ6VtwynlV3TqF60zKCfh/WqgOseeh8ajYtw1ZZxM537qXs2w+Rj4E5vNRSSnDxNV3B3GSZ4Fe3Izcd+LeP5WhyrN7tsiwjbX6nUyAGkKs2Ix/89p+2aTmwlV3vPYjXEVqfSkE/uxc8QcaJ53Wr1/esGyk1mGjyd6UPdUtBbveUUJMaRvzxp/fo25SYQWXweWp5B5u8mdrkW4mcMx/f5HlU6R+gWfEppYYrCEQu5P4XZrD5q1YSNm4g2pjPpXePDl0PwdB1ec4dKTjSHwS63gXNulc59Ybu+aojYg2cN3sE59w4nEc/m8FlumKuefVkUnIjeenO79i1vorvFu/njmmLOFTY+P+f3F56Ocyx0hQ3/mQWLQhCPPCTE1ktcORKKulw2THD2uLuIRRXe11EHrEzaUky0rD/CKHYWcsTkePxeHyYLWaQ/CD7Qei+69cNlR61Rou7Vyju5SgguQ8h1T5PpGxk7AVjaNUs6va9Qy4k3nsHl47+ClO4lrPOH0yzfRQl38wn76wbcbXWc11OPW3hXoJ039TxNbsxRCcTkz8St7WZxsJ1tJbsIHns2WwbMoG5FXsxK5TcntyHVzosPH7VWrwuF/5pCxDs9QjmoTz9fCYqQUX68QFUakU3wVhvUpOjjuAfYX1J/dxMcWtIa6PxGznu5Aw2fVPK/Mc2oNGpmHX78Th2dj3GdHEiSRN6ag1sQX+Psjqfm2qvG6UgEq7qjVZ5NBHM8ShnvU/g/VlgqwFtGO4xd7Bn2ed0NFax7dXbKTjnZiJt+0ChREobgy4hF1HfpW01xCRjiEkmeGgt4ZmD6GiqpaOxisyJM/E62vHYW9GolcRtuIc4XTgUt0F4CopJd2NtsncbjykhE01UMgqVhqFX/52IQD2KT64AwB/w0rD3YI9zULYXccPUoQxK9VK6TcPjVy/j7JuySB3WQGSHDdPGl4kbPZ2thtC9VZ30JIPufwBPmYNg0I06Q0Nt0tP4aCZpbCwprdOpXv8ZSq2BPuffSHvGV92O1yi8iy9iJokjbidoa0BjCqfyXSf+jq46nhaZps1eAgcW0P+CO9nz8d87zbI7GirwdVgZctVjNOxeD7JMVO4QSle+T8aIE4kqvQtb5E04Um9GlzoanC20t9lw24LE9x+HLiL+qPz2/0m0+rzs7rDyan0ZbyXkoNYo8HlDz5qfIkDrTWquv68PMZZWjM4SduniUFz5KJaFf8datg9TQjq5V15AddSj+LESTSiQU630FrkjnmeU+R1aD25Daw4nPDMPwdCCMiigCkajrE1i6xuPEPS6u5nPp5x1BY16D+YR45ACYJ36MpH1m5G9dmI3/I1YnQXv1Oc5uOz1HudkrSyiZvMK6neG0kJ5bS38+Oz1THj4c+y1h7odB6D4q9dJH38u+qjuVjHeDisCAmrjn5Qf2dkK3u5musgysqM3dsq/RMCDXLauR7FUtQ3F8Vf1KO9oqCTgc+O1Nvf4ToWPkTNvwuX2YEzqg2CMpEX6BesIBH5w2YkZOYV8l4OGLSvQGMPJnzkHRaoCP91dA+vUr5EqXk+7tKazrDHiOdJyzmJyZH+evPtb9m6pwRKl567XT0OhEAgGZSwJEgGs/BxZ02VtNHBMCms+O8DWb8sRRYGEwdFoIxW0Flv55KVt3dp5XH4O7mogq39veqZefh/HSij+ErgYePzw3y+OKL9BEISPCQXYsh1Lf2KP24/fG0Br6C7MVntc9Dd2Ld7CU0yUrO7aHTZ5O4iSPBxUGjhOrQaFAYJ2UEb+84Op9Wg0SpwtvUJxL38MOehEKrsDue0rNOEnkZEzhj2/YIzRUO4kGJC48m9DqFy7EJ0lmuTjplD02UuYErPI7jOM1Mh0KknCS9f1HRafR+wAK/Xbv0MXlcCAC++hcd9mVibnMLcxtIttDwZo8nkYrzeg6ahG3VFHQBdFizqC1r3LaFt/KZVfqRn3hpmb5k3hhYeX4fMG0epVzJ43FeueINv/9gM5udO7BrzDQkVSBd8tDmn0PC4/b96/lns+iqTP2AQECRLzlFQI61i+ZBkmUwy5fU4iN3kQeXozIkfuQ8O0qESuKdmOKAi8mTOUAsOftDj8H0VMG4nqpg24q3ZRu3cLRUs+7gyiZa8twdFYgxA/gL2fPI+rZT4po84g65SLMSdkIdfvQbbVg7sdyeNA0eHH01ZHxsDhaEQJRcpA/LoYRJUeTPHgqEfIm4IQk4PUVII2PmQ/nzj8FMLTC9BYotAYwjm06j3s1SUk9h9J1gnz0K15CGXzPmIyB1HRXNNt/Dm5KRyXWs2uuv3IRgOnXpJDzMCt9I0fhnnrEgJx/fEmDUfiQwCCOCiPv5+kxMuplV5ApivFiC/YgrOhkr5n3UQg/zjk9HZsiu7+vyCyzWmjrfQAwQ2fk3HieSScqOPgO5nd0pI5Sj2MunIAB/buJ23cdEpXvg+AxhSBqFDhqC0jMmsA1ZuWU7hgJekjTyFRZUVRvIQI3fe0Gb/hu48fwJyUQ/Ypl5CQloc54b8nL/GRVPtcPFBZxOURKXzzWiHXPnoii1/cSl25lcZqOxfMGUl2lgvXj/dQd1jrHqY347r5eVJvuZtU/1p8+moqDPOQ8BAhjMcm/7QAF/Grm/A3NZFm8qE78BrURCMWnIG5ugNFRn98LRVEZw+kvbIYjTmC/Bm3oDSF4w5XkSsLKCp+QNJYaLc305Q8EEPdZrRqI0J7JarVDxOdO5TqTcu7nZM5JoGOqv3dT1SWaTmwjYC3Z1BPhUaHoOiynvE5bdRuW0XRkhcQRAV5Z91IXHwMyvZShIh0hMSBCFpTj35+N2EJYIoFxxEaO4UaITz1n7fp5Z8iqHSI/acRrN3VrVzMGd/ts7upgupNyzm4cgEqvZl+M++g/PuF2KqLu9oYIolKSUPlaUdGxm820MdnY25cBk83TZmbowAAIABJREFUlHW+Jy+NS2Npaz3TRAUKjY6+027A73Kw/+Nn6T9sTg8JQkCB/LN0TTJBRI3Egqc2s3dL6BlrbXHx8l3fccvTk3nu9m84tEVixNRsPGLJEX0piY7uy0mXRJOeFUFrXQefvBy69xQKAUOmkWkBKN1Sj1LZ0+hVFI+dC0gvf13+dPNpQRA+An4EcgVBqBEE4XJCwvAkQRBKgImHPwMsB8qAQ8AbwDFNlmhtdmGO0PXwr6r1uYlSdplPR6SZadjf2mWiFPTTR3Kw1xSFQq0GhQnZ33MXrBtqPRqliLOp+tfr9dLLbyB7qpDbQloo2f4DYQovUXR3stWRxf7vQps9ffppEEWRQ9/Mp6Opij5nXEv8oBNoP1SIc9dOkqtvQyeHfJYs0hgaN/1I2bcf4m5vpK1kJ4ULHifz5Iu47bBAPNocxcakVB5wHGRa0acEdyzC1WEn4HUTEx9L+tARDLvyAKct9tCyPYjlUArz7riIu+edyz23XkjHuzG0Ods5uKuR2IlHCPNambVf9DS9K9tUj8VUT3vMMjrEzbz3znT27FpMVdU2ln95J/uqdzHAaOHz/FHk6ozoRAXnRieTrNGz22ljZ4eVO8oKcQYDPfru5Y8hhMXjUkez8/O3u0WVVuqMhKfl8cOzN2Cr3I/faad05fsUf/kawbpCfBVbCK58iOCHFyMvuYHwVXM4fvJUEne/QNTGBwj/+iZilQ400SkoL/wQxZnPgL0uFIW2o4n41HQyT7kUye9j78KncDZWsfW1uTTt2YjH2kTpui/YtX03wdzJCA17yc7Pw3BEaqbkIScQUbca9aLLGRKVQrSxhllzU5k2YgoGu41gbH+EftMoW7mOeM/1ne2C2AniIE46FxARUBDnnommOZPY/JFIPjeJtmoS/Ga0cnd/xDj5OqzeGGRDGLaqAxR9/jIBqZDECd0XmanH1SF/cg0ZsToMh818RYWK/rPuonDBYxxc/iaepgpGnn8Dpz34Pv0TVGi2vBJq7LaiF6vJOuliXM01qA3m/1qBGKDJ5+V0ZSzTasKp2N/Ka/PWMGhcKo8uno7fG+CU0wZjYUenGTqA32Unceda3GI82qg4WgzLkPBgZggR4jja5ZC2LkGchcaTTUpsHNrC9wmYE3EkjMamMWOdPJHy7J04RqUw9MKLmHDzE+z+6AnMaomUjl3kbXsHQ8tetIIf7Ya/E7fnZfx1RZTUu6gfcANydB/E6q3kjDoJQ3SX8VzKiJMJr/qaIQUpjLzu78QPOjHkIA0EvS5EparTf1gQRGIHjGXYtU+htXQFY2rc8wNbX55DR0MFjrpSNr84m5bibQQXXU3glYlIP7yG/AuWNb8X0ZKEctYCMB+2QNBZUMxagBCd84f7/l9FGHguQt5phz+IiCOvRswa1/m9v6ON6s0r2LXgCVzNNdgq97Nr/oOkjQttLguCSP6MW4mITcBTtQdHzUGC619A9fVdRHrauXf9w9SFqZifkssjaQUYCXKbWuYq0YfUXkfRkhc49PW7eGzNeHY1o5G7Wx+kcCNt0sZuZdG2y3Hawti5rqpbeWVxK7oILQ8tnUXs2HyivM+iow8AKqLQ+V5iZpuDJddqsZ4QRlurK6QhzrBw2UenUpQYxKhS8uPXpZx26cBufZssWnIH//dZvvTy5/PviD59/j/5asIv1JWB63+h7jHB2uzCFN7ddDogy7T6fUQcYW5piNQiBWUcjS7McQYIBMiRXewKj0cp1yNghkAL8M8XH4Jaj1psp7XlmFqL9/IXR5aDgASiIRTgTWGhWVuMXswmmQxs8lZMQn9ifVNR9Y/jwrl6fD6RqD7DqNm8gvbSQtpLC0EQOP6WV0CppGHNGvpOfQXJ0k7QqmD9d933qqSAD1tLDQatjr8l92WA7CF/+zuo00dhU0RSGZQRm91Uff4MSo2e/MkziSmaj97ZhGna21RWFiAGI2iM1XFQZSflXIEV8/ahUisIJlfT9x4dZS+H428TyMyPoaa0ewCnKGM4W2dFk/fAUFbtvp5p01/kR108H/lkshSQLyjRujs4OSKOYaZwtjvaubN8DwubuzagvrU20ejzkKHrDdBxtDEn5ZB50oVUrv+M1NFnojaFE5aUg9vaivyzjYjK9Z+RPfZ0FG4P2uqtXV/IEvKqRxDzT0Xa+h54HcifXktAqUQ0RhNc/Q9orwhVLV4J7VVkTH2JVfdfAICoUOJ3djepbty/hY6TnsYZdTw+q5PjrnmCQGslorUSQ+1GlDu/AUBZtBT37jrC0obRVFJIc3kRfqeNPEMK+YMHUVGWh1lnhLQvERzpOCpOJJxYBiSfh8feiKfMwfYF9xP0uglPLyA5xoj+kUvpf80LNCVW0SEUY3GdQNs3FYwQVxHRbwwOrQGPtQkp4CX3PAeNm8NRqGDI9a3EeJ4CWUK18z0SzvsYy5yXCdOCp/4gw8+5GqXejHbjUwjznwGlFnH8bcjZJyKXhMxt1WFq1I0dpIw645j4mv47EYBTCtXMuXkBs+Yez54fa1j27m6ScyIpGJhG82oFXkXPIGgxkRHEfv80qoOriBw/i0BiX9qj++IVviVaOI0wYQQGbx6mQ/VIAQH3mW+z97NXaPj2dUSFiowzpyNMaqZCdzPJ6stI++4g4y+9DXnR5Qi20DteKluHOOhchKTBULODMNGN3RzB1o9e4MQLr8O0+m+omvZx3I1P015xAJ+rA7+jFW92PzRFi4gdMgjPgLH0Pf0qnM3VKPTh+F12MibORAoGMcWnU7b6Y7a/eTfpJ5xD+vhz0EclUvrtgh7nW7V/NzHx/ZDrdhP8+j6E/CkIsX3/8PyLmWNQ3vQDOOpAH9UtZ3gvvx8xMh1h5rvIrWUgKhGiMhFUWiQpSEvRVhoK11GzeXmPdj6XnaHXPYNWp8fVXENrcxPbF76D32UnfeQp9AlXoLNWQtk6DPuXctYFH7BKl8hF+xZh2fw6SEGG5k6mOv0Sdn35LgAH3nmTEUMfxKEsxOUvI8o3jojNB7AMe4RG1RJc2p2YvTNol0YjxEB0oonm2u7m9GUGN3PUB0AN6j0il8U/xk36MA7KApdX1tAacKIRRDZq7Uy5u4BhE9Lx9TeyRGrkzCIVmuYgfR8bz74NNVzz8Hj2b60jMs7I+AvySOsbxaHCRioPtGAI05LVP4ao+KNgAdHLfzX/HfHr/yRCkae7pw9o9HkIU6pQHqE9FgSB6CwLdXtaDgvFQfJELx9FJaO0tYBsQfbV86vGHGojGhpwNfcKxb38a0juUqTaF5DtPyAm3oxU/Si+xBkcEl8iKNlRE41RyKNV+g5n+RBuPmUj0QkmyvbFMvveeAbMuoe20t3IUpD4wRPwdtiQfB5iR5+GyS3iazNgcwVQG8Lw2Lr8lLRh0WQmxlDfXo5YuwE0xpD5lVKNoA0jITeBDS/dSfBwEI9Nbz/M2MvuIGLVLahWXITHt4rtz5uJu1Bk+wXtrOhwcOlVA5g4tQ9BQSR+RDhJBXoUMRIxnsFsX1tBhy3UV3b/OPpMSGTXBBe7NBoKwp/G6GzmDYebar+bbcDyDgcf6qPI1JuJUGkQBIG9ru4CUq7OiFnxKz7/vfzLqA1mCs6dS9yAsex4ax7utga04TEMvPg+NKaIziAwABpzBJKoRHT1jFyNtRo5Ng/FKfcj+z0IKi2yrZbAR5egmHgXwWX3dNVtLkYh+ck7+yZEtZawmMQe3YkqDc0NDez9+CUAEmuqGR7Zhrznc4Q+JyOeNC8UTC7gp9/US1HXbCKl9GOS1EacI2awc83XDBs7Fh02lryYQEPNTGIT9Fx2pRKzbSWK0mpMGWPYtXt1p59ne/le9m42MSxtDNpF/yB1yn345XgEXRINtVtp3LQAggFiz7mFug8ewxibQjxrOHvJEOTir9GWvgr1h81R1UYcdaVENqxD3Po2BkBIHgZRWcjlG0J1Ah6kVQ+jmPY8wZLvIfdUFBVLSVZKVOn6EfR5aNz7A0GvG0NMMqbETESxZ6C6vyKyLKMIQGm+wNSvTkbXKnLJPWPwaWQSJsZjaBVxGP2kxZxJ0541CIJITP/RhCXmEJeQgPLLx8DVhnrZqyiGTsUyyEKzagbZgQsQOypQ1m+gTRFD8daNaMyRNBxOhyUF/Rz69CMGZMymtf8KqhXvEjfkVoztpQRt3d/v0u5PEMfPRa7ZgUIh0NFYiSxLuLwBTGHJCJlj2P3hk9irD5I36WwsJhWuhnL0A2ei9rSTHi4hOIqxaGUkjZa9W9ZyaN0X9Dv/Dra9fifS4Wfu/k+fw2tvY9Al96GP7KlB05otyK22w4MKgMfeo86/imhJAMv/ZpT/o0HQ78NRV4qvw4ohOglDTDJC4gAAOhqrqN/5PQ271mJOzEIXnUREah79x5+GBg9+hY6Dm9eTkpuPvm0/lB1AjMvDpzIyafaT2Mu2Y7O7adYYSWmtgOhcqN6KsPdLxg6+BIXbDhoziAoUB78mfkQmBywxeKxNJIwZT7n4FAG5jT4dryHs2o9ob0Bf9A1O54XU9LuWayv2oBXKuNWfzOUPjqO1xkHpnia+/6SISeflMyQ9iSx3C4f8TnyyRJtbh6cjmyX+g7QGfPRTmbimJpL1T+7ga0chZ103lHiDloFvdPDc82s65+iKR06g2emh7+npuPrq2J0cRFxTyS2nftgZr2TICWncO/8MYpL+eeaDXnrpFYp/hbYmJ0ZL95zBdT53t8jTPxGZbqZmZzN9JqVCQCZZAU61llatkYRADJJjW4823VAb0cguXK1WZFk+pikxevnrIQddSOV3IreG3PNlpRkx9REIy0biTQB8NNMmrwVADIR8z5rrHDTXObh0zkTCohLRhEWh0ptw1B2iaf9mLKn5BKsOIsSE4fIKuOQE8s+fS+mKd4nuOxxDXAbpqXHI781A9nYQBIScSQgDpxP8/BbMo64luPZVRl90G+vefqIzYnVDbT3Rl3+BVLySBKmeHaIZ6wqZ2TMyWbp4E4++8klonKLA3EfPIIJkqvJtVOPnztXn0FpspU0MEpcXzqWuQg64HeAHdbPIosR+fFgXxYL4cl6rL8MeDFDhcWJvc1FbZsVs87CwJYuaKJnnDXU0BX28kDWYKHVvfvCjhddhpWnfRup3rCF5+HB0kTlsffk2fM7QwtvT3sT21+4k79w5BFx21HozSr0JXWQ8kteFSzCgEwQ4UpM54jIEv5vgN105ZMUxNyLE5SO3lIaiXVtD2n/3uHlsX/QSCpWGvPFT0VetJK5gBOqwONRGC/W7VpM6+kwq134KgCAq6GiohKGnIuojkW21BFc+FPoucxwWSxLyqr8hE9I+Gqs203/ik/jCElHkFDDpzPVY640MHhaO6euboeVw4K6tbzFwwj1E9BuP196KQqWlasPn+IdPRqeUkOZfiPLwPTHw5NuIGHQbRQveIeX6f5Bz2pUYjXrkBbPR9j8LIS4PaVeXf6Y0dg4WrQ7xq7c7y4TkIUg7P+7xe8geO+5pb6JVBBFtVYhxA1DVNobS93z1GsgyokLFcTe/QNKIyX/49/9P4Ed7K2ce/BGvLIESMpL0PFeQT6XJz9aAl/A4FSkBF8HyWCbd9ARyTBbVm1dR9t2HeNpH02fqSxiw0p7upcL0CYq2XYQFQdCGoarYgcMnsGHRP0gYOonmfZt6HN9RUoe6fzQ+mpAVMrLQc7NBShyCLawfHSMfRG3uizlZT/452ZgGjsOfORCfvRVrZREnXHgDxjUPgLsdIWEggjwWWaVF2vsl/BTNOSyZgtOfonzzSoI+d6dADKBQa1HpjdRuW0XS8JOp3vgFQb8XQ2wKiUMmkTxkPCx4G9mSir//uQQ1MfykDpAliY7GKgJeF4aoBNTGnqnH/iw6Givx2tvQhsdiiPrvEKxdbQ3Ya0oAGXNidrdNCp/TRkdjJaJSjTE+HYIBDq36gD0fPoEsBVEbLYy+/S2icofi67Cy7fU7aSnaQvzgE0O5h1vrGHTcUIQl1/NTIIKoCXcjFL6PXBh61gUB1egbUEVno/7xUaIMUbgmPobbMhKrmEAwexbqmEzsZWW4A6lETfgHMd4KlGotOmMUE68YjqTU0B7XTLEwHwBJCdKoVHYqP8An/EisLLOvcQzuYJDHbanMP2c5Xk/IKmj06dk88t157I8JsM3k4HntIJba6jAr1GTpDOwXrJzXnMx77gquaI7irXOXdc7PMzd/w20vTWbVO4Xd5tRr93HG1YN40VrGW46DLAsex3NzvuoWwHP7mgoObK/vFYp7+VV6heJfob3ZidH8c6HY0810+ieiMsOo2nZ4wRKUkEUtKa317DBbSPD6IdAKQQcoftl8Q9CaUHjtCAoFvg4rGlP4UT+fXv57kb1VnQIxgGxbh2xbhyAvJTbmfESVgIZYAthpkpbSfCAK6FpgPz9vP3c9HsW+hU/haqklftB4IrMHISpUtOxch+W4s/nqWxWfvLKWv704mLD0fAyxqQheO/LKV8HbFSJXPrgKMXMMYr9pyPYG8NiwFC8kceAYanauJXLspZSk3cLji72Em4YwfYyWE96vwluf/n/snXd4FeXa7n8zs3pNVnoljUBCRzoKAiIiqCiK2Cv2XpEt9i5uxQZs+95WULEg0qT3XkIgEEJ6Lyur15nzx4KEGPT7vnPcZ+s5ua+L6yLvmnfemTVrZt77fZ7nvmkoreObedvb9iXLCvNeXsY9r5+LbivkJmmoN/jRDYtmbm0h0406Dje1p2QFFJk59kqeqrOx39TKbUnZzKs5hl6GBbPXUlXSwoHNlUy9YxCF26p475FhJI5KpIeh60X5R6Js42I81bvJP1OP1vMAzXUPtBHikwiHApjiUtn6xp1tWQRJA8eScfY0vNY0LFP/gfqX56C1CqX/5Ui9pyB/PLXDPuQNbyFNeAK5phBBZ0EBlOhMKlohdej5VO1YjmgvRyrfRNZZj3Lg+/fxO5rIHH0pyX1GUvjNm2QPn0Bm9yy09qMoggohMR9l2wftg+ijYOuvVIAVBUOgidm7rqB2lcyUUefRr2crVG5qJ8QnIG54HaHvAxxa/D4IAv2ueRydVYX8w4OcqqAlLp9Dwp3vU5PdF1NUAs32OvC1IqQPRtm7EAZcjnjpPCjfAT0nsP2nb8jrlcup+Q1KUwlCQh5K6ZYOxyBIavSp+YitlbQ63dTt3U5I0qO1xGKMT8NdV44cDrJj/iNEZfTClPCf8Vb/o+ANh3m+/FCEEJ+AXQnRHA1PlhTSFApgkVQcsiSgLvuQDdlzWPR1AEG4ianXz8C55n52fvMBA+67nGJlFeWf3M3nz5WCUsI1f+vLOSP641GVE/K5cdWVYU3vgbuhox6IISWOVuxYwgPQFpcg9BoB0d2gJeL5qkSlU5V5ObvmPtjWJ2/yzaRnpKLe8T6iLQ19ymDyzrkM06ZX2ny/hbwJyNs/Rux/eTshBmitQCxaRsaIyQhix6ldr8seoGjJPzj8/Ty01lj6Xj0LjSma5mP7KF3/DTV719L7onfxNDdQ9NOn6Dbtos+VjxLTfSDlG75j36fPEQ74iMrqw9A7XsOa1uMPvmIdIcthqnesYMe8hwl6nWitsQy/923iew3/t47774aj6hibXrulzWbLlJjJmY+8jyUlB2dNCTsXzKTh0DYEQSTnvOtJG3kh+z99oa1/wGVnx7yHGfPM17hqy3DXldP3qpmUblhMS0kBo+54FuGLaR2eK/zyAuKEJwmfIMUA8rYPEM9/FqHbMJSSDRi2zeWQZQxFKyKigZJWT5/pD1O7fz3G+FTsujhiVX7kJY+hcjcCkDD0BjQT3qBC/S1IagrV13DSurFSeIPz48DZcgHL79jcRogBNv5wlHHX9eULay07m1oQgJsTM6kP+nipMvJ7fjmjD8tiRrD57x1FxQC+/8duzhiTwYYfjpCUYeXer29iyVYfj7wfYuKg7qxMy8YUDFJ+pLlTX3tjZyG6LnThVPzHfYr/zGiuc2OydqwprvJ7sUmdSXF8j2gqdtcjh0MgQzgskt7awBaVFQQJtKkonqJO/dqgNYO3BX1UPO5fqaB2oQv/JQJBkH5VDytFU3esDpt3HC3hDRyX51Anf0eO8CJfPdfRw6/nGXEsO/wZ/W9+lmH3vU3igDHIoQCF375Jcr+zWL5G5MPnt5I3IAZ/0b+o27MWtd6E7G2B2oOdDkcJeEClifwLBxHKt5I/4XL6T72V9JGX8+53dnKsLVyasQ+lfAfBDBMJI2sxptix/KqO39Hio/JIM69d+QPl35az5r5NCCua+MDbgzEBK8/4M7hbk471RPpzScCNKUPigLuVOI2WZI2OZLuXb+fvot+Z6XhcAf71ymaGnZvNR4+vIyXYZcf0R8LTXEfxsk/IHmRB2/oGBOvQaD2IkhpLSncS+49Ba40lddgk9n/+chshBqjZvRpn5VFUai0/lW6jaOxjOK9cRDBjLAGXHYLeTuMpoQD+jDG05l+Fd/Qs3OOeQ2WO4eDXr9NQuJWQLODscz2b589qS0Ms+ul9qvauJXngWHqmmrDgRBuThiQqKOU7Og4Q8ICm82KmU7awaJ2HhWs8XPl0EwcqrTRWnkZQMeRHUqkwxKUy5s4XSElJQDDGdlhIOgmd3U//q2/n2IJH8NZXoC/4CoxxiGc/gLJ3EYIlEcVeTripjNQzLyFsTGgTWgJQjqxCHHwt6NqV1IXs0Sh+B0JrJXLB9xTv28XhNd8R9PsQgLG3P8OFM9/k4llzGXPDfdBcgtzy1xZ89Mohir0dv99rE7pxf8k+mkIR65lBOgOmbXPYkPkS7y5uZlr3I1yXs5Oq8lrC49/AWVtGq6ka89EZmF1hRp8bT2uTh7/fuYndh6xojRExKnNOKhkXT0ZrtrWNFZs3CCk3QJJ8FfktM9FkX4jSXIY06QWY9CL0nIhn4us4a44zfPptDLr0VqK65ZEer0f//W2odryHuPwJVAuvI2vAMHCc4kohSgimuEhd6a+g1BZg7ZZHwNWCOSkijmjtlkfzsb34WyNkxt/ayJGf3qfl+AGOLv2AgMuOs/oYW+bPQhbV+Oz12EsPsvHF62k6uofdHz5O+ISfu73kAPs/f5mQv/N9+EfCWX2MrW/eE4l+0m479Vd356javqyD77Sr9jgVm39EkWWOrfqchkPbAFAUmaM/f4izqhjhV+UMzpoSAo5mUGSyxk1n36cvYD9eQGzPQXgqDp72uaKE/B0bQn6QtBA4YbdYtYfUvH5tH4f9Xmr3rkNjiuLgotfRJeREyhFG3o4wfhbiuJmIohpbhZmE0FW4Q4c5SYglLOQ67iazXMtMo4vEeDUqdUeq0Vhs5+pQRPxNAd6rPU6azoB0osjwhYrD+MvdxOg6Z29ZYw2EwxHS/8C3N3PF8028/o2TH7d4ueMtO8v3gRSA8Zf36tS3W8/fcYDpQhfoihT/LpprXcSldJwMVfo95J8mqmSM0aPWSjQersQmQigkk+VoYKW6LwCCOhHFV4JgHnT6wTQGCHrRRsfgaajEltXnDz+fLvy/CcVdQLjlR8Tk+5Arnos0ijqUnovx7d1BpekF/ESczQLUc0i5ldmLvuWeERvxOAOMu7Q7501L4V8rdlAYtwF56zZajx0AIC5/GNrkIXz74UoARo6PpnnnatKGT8bbUoccCCL0PA+l4PsOxyTYMghv/RAp/zwIehHSh2IKNmE48CbsfI4Vw69A7H0hStlWBK2ZUM12JHMi1n1v8cFbl/PNuky+fC8igNOtRwx1FZEat+/f3820u4cwb+YvXHjzAKLjjHz3yCpik0y8/O7ZzI6v4gp1NzSNIk59CJMg8nlaNse+iUTvAqesWLc2eWisdUUyQn61+NWF/xMoJPUdiC7Y/pswhr5hxANzKd+8HEf1MdJHXkhivzGUb/i2U+9wKIC77AjRh+sokQ7ijq5n4OqXEUbdi3JKijQAGgNK+hAKVy2hdPNStGYb/W4eiEqjaxPWqq6sxBiX2jEVGyhZvZBzH5iDprGQ8PJnwNcKGgPiuJkdDMyU4jVI0xYQLt/avg+dhdh4C6uuWMmCIyN4c4WeBUvcvD62Z4SQ+k6Jive/gvhu3el23a2Ef3oU3A1wwatgTYFTa0xVWqT6avQr5jL6qjmEHXVIi2+JlNMMuQHSh6E0lyEOv4WwIiI3+zCk5iNNeJrw2tciY8blQnQG4pl3ggCCqEKpLURQ6QiHApSKOaSNGUzepOtxVhYRFxeHeGgxSv0RlOI1GAAS8lHGPITSbyqC+q95X9jUWm5MzOSJsvYFu4EqK2+E2r1Y50RFIUUlUlLu5IP+7xBbvxexxwTO0m8CTR6Ou1/C2KBC2fwoPWr3MbZ7HhM+mc39tx5jyccHOfu1BHImXE3UxHiORN9Jj2dvQak2IGpEDLHJCA0WGpZuQ51+gPDy2ZHonaSGSxew3R5HXxHynGsRjhaASkfS1LeRVr/Y8URc9ahCbsLmRDjh76sc3wK2TISk3iiFSzpsLuRfQMinENdrOLac/nib61DpjBQv/7jDdgl9z6Jsw+KOYykKAbcdUa1FDvpRFBlH5REEUUKR29NQa/asxu9oQhWX+n9whX4fnsZq5FBH31y/owlvS+1fOo26sahzGV3DoW0EPU6qd6zo9Flr+WF01li8Le2L2ObkbDQWG1prLPWFW9uujTEulaa6Wmynea7wq/tY6DMFtEaUyt2RvxN7odd31M9xN1ZhTc0lb/gYdN/OQG6tQJr4DBzdhFy8GizJSKkDia4XsadG9i+gZlj5HKR/3gcBF+Lo+3n1cRsOh4HiplReea6K6lIn4ZBMwj4/I/pFs9kXyYAo83mIU2upDfrwyCECKoW8M5IxWbVtGiKSJDDlgcG0SGGqy+wUVYaot8sdjnvuYicT+kdx7cyRuFr9rPvuMOZoPfe9fm6XInUX/kt0keLfQXOdm6ze8R3aavw+RlnjTrt9Ql4MpRtLsakEgoEAqV4nDYLO/YCpAAAgAElEQVSaekFNvDoO2bnjtP0AEETQWdAZjF2R4i78tyG7jxIuuAACVSjWUYgZz0HIBZYxKP7j6LuZ2whxWx98qKy1zFpwDkYjeA9+RO3Kb7l20ht8vmImV1/8MqHyUhQ5TGvlUYqXv0dcci/qKx04HTLRBgs+ewNx+UOJMoQRdcORHTUo5dtBrY+QCkMMUv7EyGTdnIg45iHC/7y8La1L2fUpiqRGPrYemo4hZo6Ekbcj5IwhfsNsrhg9k7XLY9CbNFx08wDemfkLAEF/GEkl4mjxoVJLuB2Rl2VjjYtPr1nByysuJsUTj7tJQUiFfILoG0v4cV6ESGl07Y88o0XLyEnd0Vq7aon/SBhsicT1Ho0s7kEkshjh00xk5ztPtgm02Y8X4LM30v38Gzm69MMO/VUaHYos03JoBxl9h7Dr+Fb6XPFPaoD4tMHols6CukMQlYbv/Gd5+6enyE0fRtJ1d2O0JmCMMqNoDW37K173A/2umdXpOHXWGNRhD/L2j9pJbMADrVUIPSagFEXUp4nPIxybhO/Wt9AdOYoYUhAMMYR/mkWmr5WHBj3G8tSbCIYV1m1RSL/sS9Q756FqPorQfRwoYfSKi/DCW9vGlpc9iXTJW4SWP4PQUgrGWKQxDxLe8A60VqIuXIwU8iNNfpnwz7ORi1YiXTaf8LInoXIXUspA0sb/DQgQ3jwfceiNkcmvvYLw2jeQBl+FvPsLlIAHscd45IYjtGgzaSw7TEZOFuKeZegKf0LoPg6h36WRhavhM5APLoG6QpTi1cjpg5Hi/7r2OVfGp1Pt9fFhw3F6GywkOSSMooRbDjPRaKaHqwriejI+eISYbUsQ+k0l/PPstv6WyS8iL5mLcIKMSg2HyHXfzYz75lJZESL881P0ueQtiizzkfFQGfMGnAhEWYSBpNbPIjbGinCSEAOEg/DdveRfuADdzn9AbUGkPeRDXbEVOXCaKF/dYaSzH4jUuPudKCUbEK/+FPwOxEHXIO/+PLL/vpdSZgdzSjw7P5iNKIrkX3IvR37+gIT84SfqWCMIOO3oouLaoscnIWl0KKF2Oya13tyBEANY0/NQ/5tV+nVRcQiC2KZBAREbN535rx3pSxkygZo9qzu0pQ6bhEpnILbnEFx1ZR0+i8rohSE2iX3/egFFDqM12xh82yvoLJHv4aT9FkBT8V4kjRbnmbMwbX4FoaUMjLF4R81Cn9I9cp/XHkTodQFC5kjC394T6WiMRRx6I5K/o7hhUr/ROCqLiK7ZgNBagdB9LPLRNSjFayIbOKoJf30H+gtfJZDcD72YRXfnLUjfvwKeJsTxf0Pe+gE4azEDA0QVL875iPX74lm3+DAjzu/OuT2j2Uxk3GStjqYTEe0r49LZO/cwVQcaeey9yVQds+PyBbANj+N4ngqTWscN311AaeckNcIyiJJIWvcYnvzXFOorHGj1KhLSItkz9iYPiqwQHWf8L69XfZWDwm1V1FU4yOoVR97g5P/2AnpLg5twSO5SvP6LoYsU/w6a692Yo9pvAFlRqAuevqYYILGXjaPryhh4rkDIH0CjkugVdrNBbWWqbINgA7RJtZwGOisarabTg7ELXTgd5JYKlMAOCERWhZXW9YT9zbgMz+Aqr0JrlLBkZiJiQObUWhqB4l1hnpn+E6Io8NSCibTuuYf43iO4OP8W7Ls3Ubq6XaxHlNRc9+DlPHZlLYs/KmPmM3dh3/sp5uRszLX1hDe8izjmIYThM0DSRDwui1YgpA5APOtuCAUiNY5KxxVd+fAyxDEPIf/4CMrxTYj9pyF7mhH7TyOqcAHzv/mBDxfU887MXxAlgb4jUsnum8CuNaVotNKJY2tPy/K4AhhLwRWtJt4osDx9CFLtOhqqE6kqbuGK+4Zw7EAdao1E7oBEzDY9qQPjCVv+31Db/TMhLv8scIhwfBuIOuzOPHytn3bYpmLLj4z+22c0Fu2k5dh+VDojueffhBwKUn8ijTBQW0V6Wm/2NpSzcNljqFRaRvS5iAFn3UuipMPudeALOKlqOES2sTs1C9+nKuAj95xp5F90B4Xfv4uiyHjtDRgT0nHXRbwyBUGk7/ip4KxFqSnocFzy5gWIV/0TBl5JQFEjm21URi2nyvAPhgSeQPfFi+BtT5OO3fs6d42ZijUlgx1/L+dwVi3xWZeRlHYMYesCcNYiXvRaxy8o4Cb83f2obv0ZKnej1B0mvPpV8ETq4JTybQgJvQhvehdx0DUozaXIBd9B5a7I51W7YfG9SNM/QDbFIa97vX3fGgOtfa9BlT8NfbgVl6xjiXAea9eZuGvyCMT9j+CL60vowgvQthxFU7EdueEYNB5FPONKlJZylMo9v++W8BeA1qvhPGd3Jmelst3XSKU2yPPRvXn4+H7u1wrQWoegt5BCDWLfqci7vkAceQfoLOB3QsDbFp1tg6eJ7HwvvXuoYUcBQtl2zKYUaq0dNzMF+hFuqSU+3tbpuYffiUUdRD6yskOzfGQV4rAZyCufa2+U1AiSivCaVxFH3IqSOoi68uMUfPw24VCQoTOexTDoWmR/kIbqGhoObUc+fpRx97xEbVU1kt5M9jlXYknJxd1QSc2e1YiSGq3FRvrIC9ny+h1txNOY0I1wwNf+d3w6tpx+dBt1CWXrIxkdKq2BgTc8/W8X27Kk5ND/+qfY+/FTKIqMKKkZfNurmE7xEv8rIrHfaLLGXsHxNV+hoJAx6lKSBo5FVKnJnXwTdQc34T2RIp7Y72zi8oehi4ojvveZJ9Sn0zDGtSvph4MBTAndcNWVUV+wib5XPca+dSvoNeEVgo3HcNrt+EvKyN85H7QmSB2A4mxAObwcafC1KHIIgl7CG95CPP8F9LZE/M4Wuo28KCKsFmVDqo1EsIX0Ici/vNTxhBQZxdWI2qOim+VeoltTUGoOQEIeQlwu4tAboLkUee8ikEOkV71HbcnNmKJ0HC9sQDjXCCE415KISVTRU2/mktgUhgXM7J0m4b3BxmGjyFkjcnmquhC13smZaHiweDcBWWZFt/OJNou0ONvvsdsvMJEYG6Q1GMCq15CeG1lAcDv9bPzhCO89tY5QMMx1s85k7NQ8rDEGToeWBjcvzFjCtuXH2trufvUcpt83DFH87aej1x1gww9HmDdrNV53gKseGs751/YjJrHL7vGvgC5S/DuwN3g61Dc2BAOYJBUa4fSl2Cn9Ytn1rwPIEySCfj+SRk3vkJvV6iimBhpBVEGoFVSnf6EIOis6tUhz/V+7nqsL/17IQTfU7EXRBkE5JcVMHU+t9z62vXZXW5pn7+tfIqb3UzQkPMrJmh9r3b2892pTZF+ywpcLKrl6ynhis3qhstoo/PptbOc+TKs2B5PoIrh9PrrmH1mw8kqObj2CKT2NzAG52MsPY46KRW2MQTmyKhJlCwdQagqQpr4D4QAoCoLeiqLr/JsXbJkotYVI5z9HeMljKJIa5cBixHNmgb0SUSNz/qU2MnLPwu+HXWtKQVEYdVEPhk/MYdeaUrr3bV8plyQBc6qWL/Y60LpV3JGsJ6i24dGYmLl2GuEjbry+MA/MnUBKTjQlATcHMmTGnEZNvgv/Z9CabSimSfiUxbjtXlxF5Z22EUUVKoOJ+Pzh9LjgViSVFndDBRVbltB0JEL+9GlZxGbm8sGXNwEQCvlZv2ch6/csZMYl88moPcp9Z92BK64f1dtXEPQ48TuaOPDNPEbc+ybD7/47iqhGq9WTesY5OGqO43c0oTXbEBQP4eZSxKxRKCXrOx6cp5WjxRUULv8CORwkKiufrNufRC3FIY26ByUcjKQk7/4CWsoYO0BHta6Kx17OZd2LT2O84GbEmm9RHDVIE56EU6JvbTAnoMh+cFQjb3y7w0dCzhgUXTTsWwSWRMTccYT/dWXH/q2V4KhBHHQV8sEolGPrIL4n0uh7ObplLclDJvDYttF88ksIXyBy7/+8T2b5I49xdP7VBJwtRHXLZ9CkaVji7Milm5DXvYE4biZEpSNE/3UJyIGSANOfrefhO7TUhRpJ0+vZ7bGzpqWepSlD0RQ28+THTQhyiEcfj4dgPdLZ90cWJlz1YIpDuuRtECU4NVIqCOQOSke7aHqk5MnbjO24GmOfbNxSZPKsVZJJ9k1E71iDZLAiS+pIhPgkTHGEjAmISX2h+hQhIb8LrCkRX+lDS8EUj5g/mfC6N8DVgLz277infcHmT+e2dVnz4o3kX3I3nqYaXLWlBN0Oeky+CbFiOxprHwwxSaz/xyN0P/9GwgEf+VPvQZFlqnetwl5exNlPLsRRdRS1wYQxvhteex0Drk8iKTkBrb8RyXGUgZfdSda4Kwi4HZiTMrEkZ/+7Lx+SWkvWuOnE9hyMr6UOQ2wK5pR//7j/bhhikuh/w9N0P/8GAIzx3VBpI3PMqPQ8xj39DY7qEiS1FktqTpvgalR6z9Puz9NYSe+LbibWrEZw1yNYYuhmHIq3+TBSXHdCWge22FhYuSySKn0iXVocfT+Kz4F86GeE+J5II27D09pE90k3ISgKKq0RT0st+uh8FLuMsP19cDeCJbljfTsgWBIJ+GWsByoRUMOgaxCsKYQX3RbJQEnMR5r0POElMxFdNQwek4wvZMDtDRKbkYq2KJGxWjPaeh/puzyUHSynbnA8pT1CnOkwUfZ+Ee+V7+KG6/piGmFjsa8eCQEZuN+/ka9mj+SL1R6OVga5+Cw9Z/QUyD22iuH1MbyY2ZuqgBcVAlnH4cu526gqiUSmX7l9KSaLlvHTe5/2uy0pqO9AiAH+8cRazrogl7Tuv52xcGBLJU9e3V6a8O5jqzFadVxy6xm/2acLfx50keLfgKIotDZ5MJ0SKa75DTumkzDHG9CZoKo6BiEqIq7SP+RioTGLECBKUSjBJoTfIMXoLejEEO4uUtyF00AOOZHdBeCrQjGkI9i/RhA1oEmFQCU+/VXsee+1DrWTNeVBPpoVYOYX32J3F2MxpLPg3lIObKxv26a53kdc33MweMvQl69AOetprn8dapvDqFXwzGXv0LtPDVZrDd09d+K0zgdzOq2lPo7uO0KuKQVN2hmEV76AdP6zyKIKpfBH5D1ftY0hnvcU5E2EQz9HGtR6xH5TCf/wMHLO2Qg9z0Mw2Cgb/yRr0s9iX+KZ9AtHkdbXQnFKE/rGEAmBRBY/uxWLTc9Tn06h37nRHNpxgJtfyOfHeRWcdWd/HpEOExwicL2nLwca9HTPSCI9U+HjJ/ex7ut2pdaR03piejyX6zIyaQj6UQkC8Zq/Zv3knxWCICLr+1K9/hOCXhfm5Gyc1e2TjO6Tbia6Wz46cwz2skIkrY7KbT/TfHQPySPHkTZ+AuaoKJwOD4GTgjCnoLm+FJdTS7O+hbWrrkKj1jFmyo0Y9+wnte/Z7P3spbasm/QRF5I4YAz7P3+ZgMuOIocxJqTTZ9qD6POzsDqqobEYJDXiyDtoDesoWPrPtrHsJYVIBycjVXxG+MiqkyeIdP5zBEICh6P0yEorwVYHGlMUR1d9SdrkSegFkZCnmabkdIIXvkZ0+VZ0+74BQUQafT8evQd9OIzQ+6K2unwh7QyE7mOgfCeKICKkD4WaA51qopHUKN4WlAPfg0qHOO5RaC4l5HGQ038g9aY+LPi5IxmvbQ6zr6gVlTMyMbSXFbLz50WcNWo4J/MllKIViNM/RPyLLhZ5/TKzP2ph6hSJIlsNJtSsczTQQ2/m6YzebGu2Ey2FyR1pQVLbWXdA5rxhgwj/c3p7Gr2rAXnNnEgK6PJn2nc+9j70gUrksB/pglcJr5mDtqWMfq0zcOdMRREUTEIeqnmXEhx9P4UGGykTnyVq5fOR6LMxFv+El1g950FGTr8VS9OsNmEkOftsQoIO1dYPEM97GuX4JsI/Ptx23UN9LsPe2vE+UMIh5FCQ46u/ZMhdr7P97fup3L6c+AF5xPccgi4qjnHPLqbu4GbqT/w7CX1MEubkLOLyBnfYp1y8jtB7k1DCQUKAkNyPmOsXItqG/PEX63cgqbVEZ+RDRv7/1XH/3VBptL+p3m2ITcbwP6iZzhw5CemX51EdbNdmEMc+grRvETQfJ2r837Bn6mDs3fDVXW3byFsWIE16CXHsQygb5xE4vIqa6BE0V1dSuXVphzFs972CufYA8t5FSOfMjPjBn8gmELqPozl6KL6GMtwNMmKcgK7nBMKfXt3WX6ktRD74I0LueDw547DYulFV1sSiBC/prVVM75XOblcDTo+HaFuY1QsLaXl7B7M+uZC/3/4zPk/kGbZjRQlXvDmGDcO8PJPRm7+VHqDA62Cp5TC3DYnGNtXC/Y4DPNIcmdtscTbxZsVRriiOw22K58UtPhKuncKsl0U+uOFf1FU4WDx/F2Mvy0eSOge6PK5Apza/N0TAF+7Ufiq2/opIA3w7byfnXdUbg+mv+Uz9/wldpPg34LT70OhUqDXtqZVVfu9vpk6fRFpPmcL9SeRm+ZHUamKUEPFKgB0qC8MkS8SaidOveAo6K1rZg6exqsuruAudoLh2I7j3g743gn8/cs18FEFETJ8F/mrC/pyIQi8gqjTEj7oHIb4PpQd/Yu2HYRYvaOa6WfnsWV3fYb9Tbsoj0/szmpYGWgY9yJ2vCNQ2RwSpgiF47AstZ/bKwKKtQ5j4LEFJT6ilDl10PMdWfYY/K59cQzeM4x5DLvgR8cw7CX96VYcx5JUvIF32LuRPRnFUIQgS4V9ejqRfHVuHdMvP1B7byJW2geyvLj3Rq5qbdZls8TZxUHAwdGIU4x0DKV1bji2jiR17PmJX+UJUKh0PfPESnxk0FDiaIAi/WIu51N+Lok0h8vITWPf1Tx2OZ9PCw7xz/zAWNVTy98ojGEQVz2T04qKYZMwqNV34Y2CMSQJBpGTlZ/S46DaUUAh3QyXRWX1IP/MiRJUaY3wqxviIaI85XkVDwEOj9yB2y1EaoreSYb2GrIzhlJxiM6RW6TAKRloSBJaviYgT+f1Oflj3Mjdc+A6NW9Z2KEMp3/wDcb2G43c2t5GMzLMvZ9s7DyCIEuMeehNz4x4I+ZEPLqEptXMdmBkfnCTEAIpCeMPbrBn0I3t2q7kos4mjyz8h/9L7aawsoFaVTMLYx9hcsoEV39yLLIdITx3A9Ju+J9HXSmtyCKFpO4LOjBKbjTThSRSNESE6HaUusoAjDpuBooRRCr5HHHJDpP75BMQz70KxVyL3vwxh6eMoxzcSGn4LFVoTSTHdUAICKglCv5rDqcRQh7/txw/iGzkcXWJfXPnTcctaxJJijE4/URn5SP/FO+/PhiaHTElNkIE9XdiVMH8va6+l7aE3c150AlkpNVSWvEliQk8aPC3saTqXPsYYxFME0pSKHQhDr4drv8AX3I9staGXcqChAXHCU4R3fY7YZwryutdRLV+AdTkIeRNB2I0SDlCmNfPxdw9jsSQyYcRtWCUNSUlD2TD3IYJuBxs/f5e+5z2ILTYabXw6R3duw+oG28j70K58DnHELTDqAZTaArwJA2kMW2g+tq/DuQqSCvHE8+qkDVPt/g2EL74FU1RE+8Sa3gMFBZXeROgURe5eU+9FZ+0Y8VJ8DsJL/9Yhsq1U70Mp3wm2jD/k+nThj4Mx7CR0sKNYobzxbcSRd0QWpfU2jGUtNGZoib38A4QDixH0VkgfQsCUhKumBHpdjTMgsvdfL9PvmtnU7PqlzRFApTOCWo8w6XlERw2y34U07R8oIR+Cxog9ugdrdn/Brv1f0ivvXBIEFf2yz0Qc9xi6hiJ0B3+EcBClZCP+a77kRUyUqqtoygiwvrWZF4zJXHp0M65w5JmkSxJ57aNxfHzREqoON7cR4pNYM2c3Q78awrvVxVwel0Z+vZoDd+/mrk2VaLQSkx8fRmCMjV9CkTKUfd5Wxkj53PFSuz3TP1cKfPzeVbx43jwSM6J+MxW6W49YjBZtm24JwJDxWSRmWE+7/UnEn+bdkZwZ1YFLdOHPiy5S/BtornNjsXVU46sKeLGpfn+CkNHTw7ovk+g2sQatPhJ5GhB08bMmmmGSKRIp/q3O+iikxmJEtQa/owmdNfYPOJMu/L8AOdAC7gIUBYRAOfgrgTAoYeSyp0GTjNZqIab7AJqO7iF+3N+Y82QLUXE7uOCmAfyyqJDL7hrM8s8OcOdL4/jpk/04mr1cNiOP8/oWo9VGUZtxCcWeLA6Vd/b3Ky+pIctRzPKKXuT1cCMGWwj6POScdx0hj4uykjKs3XoRf8FEJOeRzr/xcACl8RiCpEFe+UKHj4Skfsh7v6ag9+Xsb+hoFfVJXSkPpOZS6HEQp4Wpt0Tjnmbnmx/vRqczM2Xy86xc/RrffncPN1/zOXt0Bvb5PPiEEJo+TubYWril4fSPuapWF7P9hQC0EOSmIzuJ7zWSc22J/7uXqQunQWL/0Rz+7h0Of/cuaoMFXVQciQPGYoyN1MaFfB5aygrxORqpDJex8LtZyHIIlUrLpVc8RlGPV5l+xet89cXzHCvdQqwti4ljnifJlsPqpTM6jecNumku3tep3d1QiVpvJuh1EjX2fg7qJiFcOZ7EKJmixnrc/rEMbvkQvQDamIxO/TWC0qkNZy31LWE+WRLg2odDGC66lkZ3LVs9u9BUFzI2527W7lmILEcmfeWVe1i+/V9MGD4Db+0hEjWxhJfejZAxHCV9CErFLuQjK5Cu/CeKoILm4yjr347YKtUdRpr4LIpKg6C1IO9diDj2IT7f/ilDL/o7Bn0UX658mapN73HDJW+Sogpx/0W9efXbdhI8Il9FdNN6TpXU0VnjUBGmJvtydn7yZlt76rDzyT7nahL6jPzvXeg/CaJNIjOvN1FjcDOnrLTDZ0VeJ3MSkhErikgcOA2nqxGNxoAn7KJ5xO3E/vhw+8aSGlqraQpH4xmkRuM4k8KtAss/bcZkimfylIfIal2EfPnHiK46VGFvJCq2dyFEd6OoPkLGHY5aFq17iyhrChPiHG2q6AGXnZ1fL8CUmEHurU8QP/BcBFGicO1O4gY+TFRMNg6XD7+YiRwIoDFHEWNJomLzEkI+N6JaS96UOyjb+B06a1xbqm10Zh+0iR0F0qLSe3L2E19SvvE7XLVlZIy+lPjenT1/Fb8bpbGz1ROu+s5tXfiPQ/G2dG4MeBBiu6Oa/gHh9XORCn8i6pwZ1EaPpkXsTXxSdwKeMDvmPYR8gvz2nvYglrQeHP7+XfIuuQdFDqE1Womx6jDtfR8G34hcvhNajqPorNRFZVLb83wC9ceortvLxRe8gMvdQDDoo6j6IDXuFiqbypk6+WVSlj2JEp3OK+o4Xm+qAxw8np5Hqc/DEa+rjRAD+GSZ1XEusnvHc7qYkCAKDLPE8GFDFXfHZ1GyYD+FmyLCtAF/mG9nb+LqryfyS2xkDvOYpQ/Pv+3ssA+HW6G0RWTw2Awuuf2M3ww+pefGMHfZVcyfvZoje+oYMzWPK+4fhtH8+9HeIedkEx2/mZb6SFaHRitx9UMjUGu66NZfAf/RqyQIQingBMJASFGUQYIg2ICvgAygFJimKMpp7vx/L5prXVhjOpLiSr+XnN9QXXR7mqmpPUS0pRFBjKPmsEDO0AiBHhZy8KIhnSdUVqRQ42n7Awj6aGRnHXpbIu668i5S3IV2hOwQakEwDwfnZhTHRgTbJJTmExHQQDWq1oWcceNnFHz7PgWHTTRUV9BQHbEVu2jGQExRGmY8fRYNDXXc/9ZI4o1hkpZNhfWVHJ68jM/25BNnlclMUnG8pmM0KSc+zA8rTITSLdiEaKIdRxBFCSUcQlCp0FuS0cckst7ioLe+iHidBXyO9h3E5hA0pKJ47Kj7T0PZuzDSrjXjO/85lgt6DJZ0ero8HPa2v8RCioKIwJeJScQ1HcHpDePzOxk2+Gp27P6KH5c+xbgx97Fs5UvUV+7iruSB3OqDS2JTubE4ovZ+wGalW+9Yygra773sPvHsjvXDr8Rel7fUdpHiPxgxOf05a+ZHFCx6g6DHQe6km0k5Y1zb52Ubv8Nnb8CjDrNwy/NtBDIU8rN44WtcefdNOJQmLhj7HuuX7qS62M/D5+wnI7+SUXdlU1kVqctMSxmMyZCAqDMQ32sY5Zt+6HAcUd3ykMNB4i6by6MrB3KJycz2wwE2Fvi45fzebDwYwOWZzWOTwlhaGojtey6N+yMiMxpTFAFbX3S/qjH1ZE/i671Wpo92sbv8ZzZv+wgQGDbkWrIyhlLfdIyLL3iR0rLtbN3xTxRF4eixDSQn9iIjqieu1DqiE3KhdEtEjA5QRt7IUUVHRkMRaoMRckaDIRoxdSCY4lGajkPAiXDOYyzcvYjBg65m7cZ5HDolil10fBuVG/Zw/Q1zOSMzkc1FIr3SFEZ29+Ha1NJGigVRov/VMwmZDex946EO31fl1qXE5AwgKiOvgwfvnx1GvUi0Ro1Ra0JWFG5KzCRRo0ME9rrsZMg+mg2xeLwtCAhER6VitSTSqtIRK4iR1FBBQDz7AcLFG6kaNIVgwMLBdQofXP4TI6f1wzKoL6/uUTE47wwGOY+QZrZgW/s41EUW2fDaiTZ2jMI6XfUYB3TOErPk9sPVWEV0fndMMZnk6K9l44s3EpM7kJic/oRDAUxpKZDuxLszyMhHPsDXXEfA3crRZZ+gNdvoddkDuBtrUBst9LtmFmpj52iWLatPm9WjxxVA0nWe/gnmBMTB1yCve6Nje3Lf/72L0YV/K4TY7Ehte8AD5gT8icPRaAWEXpMR9FFI4SDhlnJUmxaReHY3tAPHUH9oJ7bsiIBaxcbv0UXHI6p1ZI27AlGlRoqysXr/PxkUO4Ju1TsQel9EWFCozZ2Aw1UPsdm87YddTY08ULeHMaPuZsv2jzl85Bc0GhOjRtxCZsYQdu1ZyHurX+P+EbdRnjaMN5ob2o5bAawqNQZRYnZ6HkFFIawofFR3nAYpRLZFQ2yyGYNJ0yGNeezDA9klORltiWVgwMQ3Szov4ARK3KjjBHSiRBd0NJwAACAASURBVEZQRyjc2VO7qc7N1DsG03vo79uK9RqawiuLL8fV6ic6zoBK3R7trW8JseGAn192e0mNUzFuoI6heTqyesUxb+21FO2uxe8Lkds/kdz+Cb8zShf+TPgzLF2MURTlVKY4E/hFUZSXBEGYeeLvR/9vH1RjjQtz9K8ixX4vw04zOWi2V7Bl68fYbOkUNVYRmy9RtMlK3pmRGyhZDmBVwmzTZzK8+chvD2qIBlcDuug+uOrKiMkd+IeeUxf+uhC08SjqWGRMOH3n4HMPRm3wYep2BQFHA62NKghGY/XsZ8jVU1nxQHvt2ealxWxeWsyAUem89H03duqmo5bPJmX/JIQzb0cu38kGe3+6JUjoNPDUdVHc/VYTDreCIMBTl3gx48N2ziiK6iWOOESGJfQlXBOxgNBZY9HZEnkq6Gec7KQ46mNMNz6NfvF7CDWFyL0mcCjzZb568wA1xxWmXHsDQ6fdRshdh5jag1HNpVQF7Kjqa3kotQc/NlVz0BMh1JNtSQxU/NgaD2NvraKq5gBxsdl0zx7NoAGX88PS2W1qqSq1jlRnFWdZerC5tant/D8KVPH82yMY8EUle9aWkT8khVEX9+AtpYFfI017eiVKgDKfm1KfhyiVmh56MzqpKx3qvwNJrSVpwFhiew5BCYfRmNon7O76CvZ9+jy5E2/Epw60EeKT8PudBN0qzLHxzHtwByu+aPfgOLyzjhuSLqe8YgcDs59h/VdODpT5ib25O0PPOYtA9HjqasKYzDJJiT7i84czbPaPLC6IIzc9yNfrPewtjky4/CGBey62cNebTTz+jcg9F6oYMXkGuedfieCoo9aVzAO3FvDk7AWkHnoWwV6OO2cKK22PsvlnkZmXHcbtjGfsqHuIj8shFA6wZ99ioqNSMBljKa/cw/gxD7Ji9RySk3pxrHQLKePO5rj5VcLXXkrUIReqimME8vrh6pZB+TYPsi+F7ofeQWk8FvE2VhQQJfaPf4KvN87nqkvmkpjYgx+XPkHv/IkdSHFKUj6Ngc0cmj+D/AtuZUBfG7LfhzmURuqYi0gbfC5etwuNJQaVRo+s0RDyda7bDvrchAP+Tu1/ZlQ2BNl+KMCgFBXzup/BK5WHOeJ1oRVEliQlIYR82B1VlFfsISW5N3WVRezas4gLJz2H47rV6FqPohbDNNgDbIx/EYOQiL8wjnBpJVl9E/D2G8ij34Toly0ypL+eLfa+VEsCtn5fk+bbTvK2u8AYQ4/ccVj3Lab1hDCRKKrQJKeTPGwi1Vsj2gqm1O4Y+5yBY+9WGuKqqLLOp2fGHPo9ewfe6mZEjY9gyjGKjc/QQ3mdqPTuiKIKY3waoQoPPS+YgSCpkIN+TAlpjH9xCaaE3xZIqz5uZ+VXBaz88iB9hqcy9fZB5JwiViiIIuKI28DnRN7xMRhikC6ag5DWJRL0Z4QY3wPVTT9Qs2cPq/cksXxeM/mDErm0f4jc/iqEHucgpK1CCXoQzInEBeuxmKG1qIDMweNIHTQBZ20pQa8Db3MNmpR0vlr2AAaDleTWVJStHxCO28iOoTfy7bJn6Nv7QhJbejCktpCzE/Lp2/Nc9u/7mkNFqxg+5Dqio1IJhvyoVToGn3EFm7Z+QGn6UKa4FQIn3tMjzDYOeRzoBJEYtYbnyw8hA2ZJxRPd8onxCiTeGYWiqHh0/iT2bSqnrsLB8Au64+ll4J91RSzsNoiNf99H9/4J7F3fUcQxJyOGZ71mhiZlUN8gcucUMw/Pb4+radUCCYKTr97cwfCJOR1sGmVZZsvBAIXlAYw6kQE5GvK6adAbO2eI/rTVy7r9PgJB+GxVK/N+cPLds/GckaulW49YuvXoCmr9FfFnIMW/xkXA2Sf+/wmwlv8AKW6qc3WyY6oNdhbaCocDbN/5OTnZI7HZMnA7y9ifXk3T1gF4HCH0J+Z/I4N2vjLkMLz+i98eVGOCUACdObrLlqkLHSBIRhTTIGq2p3LgLQFXuYr0C1qJ7n8IbYxI+ebvqdu3Ho05mhGP/osR57lZ+dWhDvsYPzUGXdV8euW8g0tVjBwVheSqx5U7lUC1iN8rM/ujVqaMNDDvvhgCIYUYi8igunmsl25hX3kYvRa+2+ylIKknN41KxtVcR3yCwG5rNB8ePYC+1cbFplR2pT5F8ozJmH1TaCi5jPvHfYffFyE8r+yt5arZY+h5yTg2qCqoDviASFT4lYrDzM8eyJs1xUw2JdDLYKK7t5QdpZvZtWdR27kcKlrFxRdE7CFEUcXwoddTdHQNvXpO4GEhm59U7etsYRRmUszi8/NobfRSuL2KlKxozjdEscrQiE+OvKzj1VrO0nRe9KoP+Kj0e7ipaCeFXici8ES3fO5KzumqP/4f4KS3qaOplcYqO6YoAzrRT8jrQpBU6GQZSdIQDrdHBvT6KKJMWcSa+iBKnVM4t3wd5JIbF3P32EX4vZHf12t31XLj7LNY+kkpteWRGtEJV/bm/tFGyoMmSms95CSr+HJ1hATOvFhLD10DgcM+3r/Wgj56Dz8uvZXD2wKYTXGMHz6XmHgbwZDALTdUc9XtL3LO9X34ZLuFlRsV3n9AR0PdTg4VreTM4TdTV3+EVWvbLZKirCkM6HcJwZCfxPge9Ok1iZ+WP8tQjJgCMzgUfR/qETa0QjJe5R9k+t5nsO4gxpwzUMq9HVJX/YOvo7S1lqsueZPy6v38sn4u4XCA/v2mtG2TmtSb3MQe9LnrJbzl+9DqApiMXti3AOWXPQCozpiBP+ZFLPEGTCkSfqcda3pPWsvbxehEtRZzcnYHL9S/ApodMlq1QHkZFMQ2EVIUnu6Wz0QhAPZyvvr5SRoaI2I4Bw/9zNBBVxEOByku2UCabwYFlnhW7TAhCtA3S8ec1x1UNoQZ1D2ZZxbk4wnAheOgujHMjNfaS02uHmMkoUDP9feuJrbXIWSPnWmjHqXJ1YBMmOTkvqgFFY0Z0fQfORclFEZRiTTu3UD9tpUkTrmReuV70pTbsMb1psR2MTKRKJeBXGLUozH0z2obzxCbjLe5Dkmrw5yU9V/Wfvu8QRbMXsOKLyIWZMcO1LP++yLe23QDyZnRbduJMZkIF89FHPswgkqPYO3KnPkzI5g6nI+eb+anT/YDkeu64cdi3tt0PSnZNgRDFAIRcVdBm4g2RcIo2JDsFWiMYTR9e9DaeohoelNVu5eLR95MqsGG9Zs7AWgYfRfffvcYcbHZGA3RLFt1wpap4AeKdqczfMh1XHHZO7hcDYTDQY4Wr2Pl6jlMnvgkFnMCWlHF05Z4jHIjGVozLmMidZJEglrLhQc3cdJMyRkO8UblUWaXxPP41T9z/eMjqClxULC1CnO0jtfvXEZyThSvfHkuxmYdA6YPx3K2Qt/rXcSbwpQdqMVb1UBzsZ0+AzP5+9dBvtvoZdJQPU9eF8Uvu7zEmWTOzfSyePYy0nJsKHQsiVmx08fUJxvwByPtfbPUfDwzlr5ZHef9BSV+SutCbCrwo1ULPHallSVbvOw5GuCM3C4xrb8y/tOkWAFWCIKgAAsURfkHkKAoSs2Jz2uB/8gbuanG1cGOqTEUQC9IaMR2lTpFgV0FezDqY7CdEKHQh8Okx2rwdK9j+7dJTLw3su3IoIMHTdm0KhI2JQDCaV5gggDGGHQ6Dc7q09T1dOH/azQX57LqKj+6GJHo4WHqdlgIOvuSfN56bNn9sJcUED3kZuY8coAzLx/IC6tu5uvnVlKwpZLp9/bjzPE6XJlXURJ6C1XDaOSYYtKkYWhCKqRaBadXZvY10Xz0s5OPlrnpkabm8autfOa7kYffbJ/8zb7GikErcsmragQhlYenG+k2MFI/N7+qmT7GZ+hhWUmrfgOKfyoHd/raCPFJLHl3Ky0XmFjS3MDdyTm8WV0MgAwojT7OnmNn94YCLvpmCEGjh917v+nQv67+CD6/g9SU/sTFZHGoaBXBgJfmlnL6pZdxjiWTjxtK8Z5IddUIIrHZVg7urKK+zIEsKyy+dhUvvn4mjnQ1UlhAs8+NXeviKU8dY6LiyTeY2FHRQNWeBlqPtPJoThy1uck86iziqbJCRlnjGNlV4vA/wuEdJbz50Br2bKwmKcPKM5+cS9LAc7CXHULSGbj47Fn8sOFVAgE3ep2Vq694k4zYUagEMxfeNIDlnx1oE2EWBBh/RR8qDtvbCPFJLHprB+dd3YdFb0dS6Jd/XsCFNw+gijjioyXcXhmVBOf1kxC27+DdT9trkO96vT8mYwytjhqcrgbW7ZrFZXdczmV3j6G5JkB0qoXH/hd75x0YRbUv/s9sb9mSbDa9kEYLvTfpICBFEQXBjqhYUPEqYsWOYMEuKoqADRWld1B674EU0nvfTbaX+f2xmJgb7/vdd9+9z+u7+fyT7MyZmTOzs+ecb19n5GKhF7NBihDI48LFbfTsfi1ut52f93/Qoi/11hKUSi2Xcw8weOAcNmx5ln4DnsdpS2DL4jOMf2wpvrivEUQTOt9TGI6fRrv1WRAExJlf4anJQSw9jSe+L0LiYGRnf2DFV7c3WdXjYrphCU/ltmtfR+moJdTQDufFUzjCEnFHJHGxYC/x0gTSUsYgUYVTZRhBlaIf2fM9hPcIMOTdEJR6I33ve5OTnz5NTdZxtJY40m+Yj7l9bwTJ75cg/HclMkxKRr6HW7uKRLrLmegrx+yUc/zo56S0G9QkEP/KsZPfMHLYQxQVn8QYn4P3XAkLbtXy8Y9deOi9ZgvT8WwvmcU+3F4Rm0OkQ5yMJXcbOJvr40yuh5+OuHnjhh6s//IQQ5a+jkOZTVi3cSh/CKVw60bqtXrSJtyFVBDJd14gtNxN7g8rAeh42xyqLMGESfWlZyj79gxdbv8Kn74KqURDCF1RS+Ja9FsTFoUmLOrvfi5lufXs+LplTe7aCjt5F6tbCMUAgkyOENbu7z53G38cZXn1bFl1rsW2+moHZ3ceoXL/UZKG34gxoSMAfp+fQ1vKeP2hvZQXWnlo6SAm3+5DsMQgOGro5jdD3lkEfRSiGMDfczy1RjmBgI8unSawd//7La5TV1eI0RDNtz88hM8X9CgZ1P9OJBIpu/YuY/L456mqziGQu5LDF7dwGEhJn0RB91vY44XHYjvwanGzIq7E48TqCipFzQnhuMNj6dWnGyE4kamOM+D2waxdpeH5fCejeqmINct49Ss/vdsr6N0+BWNcGnJpBeU+DT/uDypENx1xsuuUi2sHqRgfVsHbczYA8MSHE1CqmpXa1fU+nv+ivkkgBjib6+XoJU8rofhQhpuXVjcn5XtqRT2v3mXC4/udvBNt/Kn4o4XiwaIolgiCYAF2CIJw6bc7RVEUrwjMrRAEYQ4wByA+Pv6f3rGqkoYWWeSKXU4iflOyJRCADzaqOZ83jJiwvqSk5iOTiuDzEm4MpaBbKdk/RdEjByJTQC/66eFt5PuwkdzlrQbF76fdF7RhqGVQlZ/3T7+nNv73+Fe8n3WXIPZmH1nuTL7fco64dmYmpfRHqenMxXXLSBw+HV/6jfTvqOalr6002v08/tgU5iQriDLUY1DlkVlUB9ZvaBRUZGV5OaeUUlLlQ6eRMKqdkptfqaa0JihIZhZ5yS72svjr5hhfuQwUMoEnPmleLN611Mqm1+JZ5kukuDZAheCjKCyGEf6FfHnES7LYukatSiNHI5Nx3mbjmrBoFIIEjxhAikCcVsIv+TbqKu34hEpUMh3QehgQkDBy6DzKKjLomDYSW0MFZ86tJzlpEHFKA28nd+eSswG5IKGzRo9dArPXXkP5/gqiw3X4vX5WzdzWdL7BMzqyvqeH/UW1vFJ0iR2x/cl4N4Mf3z/BsGs7EOIUiKzWcnP/GFbZSyh2O/4p3+sfwb96/Pw96sprefXe7WSeCrqtl+VbmTv6B749+SB52z9BCIhESSK4e+qnuPxOwmM6ERHVXJ+zy4BY3t9zC5tWnkUMiEy4rRvp/WOpKWtodS2VRo7H3VJQttW6SOgo463vbNw0UsvsCSGkSqr5+vWWSbk+f+4is9+5nYNnggnhamrzEZ2hnDucx9aVl7nv/Smcvuwlu8TLJ39xEx9agLL7tRw6uorrJ79GQPz9kh3tU0fgcNZx7eR3eebr7twyMsCBH8vZ9aWXPqNvZciDPVB1DUW75YrVVxQRNj9B/bjX2Vl6gZDaIo7unMyEsU+SGN+bkrILdEgdTp9eN/HjhoU8mHYV3pD2/PLOs02u0KrQCIzXTGXltpcY3ecT1q1MIP9iNTL5Ad5cG8GBKXq6zvNj6SXBlNiJqxauxFFdgkSuRBeR8IdUQPifvpsWo4wHrtdgrVjN3g2P0y6hH2q1nqLiM3RIHd6qvSgGEASBqMjOVJSX8f68CxRc6sc6a6BV27O5XrYecxIVKmFQuokIk5QtR13MGqVjYGcFLmeAYys8jAhEgiSbGvUWEoY8Q+FW8NptiD4vnZK6Ut7lLSwNT6GLNSMN91EbvQGnJBs5JuyXaik+upnio5sZ/NgKLL+Jv/+fIJUJSGUSfN6W9yWT/bmUHn80f8TY+V8hlUqQyiQEPC3HHdHnIGfLZxQf3MiIF9ehs8SRfTKfJ27c0PQOvPXoAULMkxg5ToGk5gckpjTKpDPYv6OOKVc/jyNZilRtQy5TBUvsBVqPbV6vE4M+iprafAAOHP6U8WOfIjf/MH6/F8QAWdl7mtrnnF/PhJShDENAVprH1qjOnFSaWV1ZwM2WBAyRUubn3UF9vopHnv91bNfyzryJvLHJzqXCoPC9eoedsX3UjOihYvcpF9f01/Dcyno+fjSWBkfLd9zlEflqj5NhDycxb+2dJOpddBvQMp643h4g969yqQBU1La850aHn8+2NrZqdyrHw8PX65s+O90BSmt8hOsl6HV/tKjVxt/LHzoaiqJYcuVvJbAO6AtUCIIQBXDl7++mPRRFcbkoir1FUewdHh7+T+9bVakNQ1hzfGGxx0HYb1ynfz6roKzGw9DkdSDI2ZdhCZqO/T4CyDDIJJgGlLLpDbiS4I+R3jpWmobi97aOZWxCY0ItcdNYno/413Up2/jT8K94P1XhUo6Wn2TN+/sozavnyO4cXljwDVa/ikDAj7PbfRwrUDDjhSqMWgnTR+hYtcPOoQwPf/lEypz3UqiyjedkoYSjmW58foHpL1Tx8Pt13LW0hhPZniaB+Ff8AVpoTnulKvn5jKtFm5mjtCxeLXL/Sw5e/cBF2Wk1p7408vNpP8t+aCAs2YIpvGWs7g1PXMVyT7Aed7XXjVEmRyWR8FZMGlJ3FJ2W92f61muQKES8Xhfd0qe0OD4sNIFQUzznL25h+64lbNnxCoeOfsHwoQ+Qmb2HopJzmOUKvijP5/3SHD4tz8Pq97NcVshL/etYll7HjWuvZsT0TsSnhTHz6cEo701kv6sWCbBAl4TjUC0bPjrJ/YtHUphVw+cv7+fLVw4yNVdHnEyF6f+Tif7fmX/1+Pl7lOfXNAnEv+L1+LFW1NBQehmFTk/56d2cWnI/GUseRmprGeMqk0vpPiSBJz+ZyFMrJtHjqgTkCinte0RismhbtL1ubi/2fN+sY5UrpOhNKiJVLmYOl7LkGyupMTLiDK0XeY1WNxKxuZa8wRCNW5HJ0Js1CAK43X4m9Ffz/l8CGJOryc7eg1yupkeXyezd9z79es9qcT6tNgydNhyDPpITpzaw61wy1VYFeL24nT7cTh/71+dz4oscEvzulvWI/R6UUg+DB9/E/sOf4HY3sG7DQhQKLf373EynjldzKWsX1458BE18f3IyMlrEBrtqK1DVOeiYMplT291kHCvF0ehBqZEjJpzG2AH87ubr+SUidQEb+bUZlJVf/N1F8L+af8a7qdDms3XrcwDERHchr+AYDY2VqNVGDPqWCunuXafg9bqQSuWEhAQXtSe2ZDK6c+vzJkbKKK/1czLby8ksD2U1fh69wQCiyO5TbuqcIjOXjKFRcqr5frTB8dKQ0JGGsly80hKckizKa8rJrUykNuwcTkUuRv8QYi8/QdaaNU3HZm9eERQs/glEJ5mYOb9lxum07pEkp1v+Kef/T+GPGDv/K6KTjNyyYGCLbYkdTOgIem+5rFVYCzMBKMyqRqtXYo7SMf3DEVy7fTw50QEanXIkMj34bcgEG5+/fIasQB+ckWZqjR9x47Rl5OQdpFePaS2uo9OaqbeW0qPbdS22+7wu2qeOoLj0LH6/F6+v5ZqhNP8gZw58wJaf/sKmz6YSY83nmYROvFx0kXvKzzCz4DCfqs9x98zmNfcTnzcwcUDLcX7bMScDOgXbeK9YadcfcJAQ0VoIvaqrku/3ObjtIw82U0RTnLDTHeBwhouKGj9L7zYRFy6lfZycXx1kuia1DJGSywXCja3zibSLlNK7fbAvxy65mPN6DVfNq+Cml6rZd9bVqn0b/578YeoLQRC0gEQUxYYr/48BngfWA7cCr175+9Mf0b/q0kaM5uZEW4VuB2FXFsFeH2w6qqKDeTNmcwyhlio2HY9jUEoRMkEgEIAQQU1DYina6gg2vSFn0mOQhhOVqGeXoGDM37iuoDYhc1YDYltZpjZaEIhwsXXt6abPsSmhRMbrKcgqouOMp9ia6afaFkAigeHdVTy1op7Fc0zMezfo+rzknlCmv1BNrS3ArWN1fLKpkcBvFKrWxkCruqbF1X7SYmVkFQc1qFZ7gISIlsJgaoycNTuDC3FTiASVQmDDISddkhQ43SIbMuTc/v6N5B7No6HCRtfhyVR2k5FvC4YIDFOFMT5Gizffi3WrjyNpDp5RXkKlkLBLkPHjxoVMnbKE6KhOZFzaTnxcb9I7Xc2l7N1ER3YmYsyT+HxupDIF+w9+Qq8e06irzeNHTTxfK7py3tfIYkce0fhYYjBSHxpLjVSNzeRj2Gv9uU9pYK+/huVFl/g0pBtReX68JR5kMgnjbu1G8eU6zNEh5GVUUVXawMuzfmLJ3htw/wECw58ZjV7Vqu4jgFwppz7/AvX5F1ps/3vdduPbm3l35ywOb7tMSV413cf7CI+1c/IXE8e2O4lNNnLz4wN574lddBqexsTrQ+j/hIWcOilivR65Qor3N1aW9j0jsHmCvzOlUsfoQa/gr6lA03cNL//wIucOl3LVxFR8iZBXbSX/+BruvmMteb6j5OYfItyczMRxiziXsYmoiE6kdxqHQqGhsaGa1B6f8/ZPau4cr8WWk9uiDmdUkpGwYytb3Js47F6yO7yING9Kk5JUFANcytrFpaxdzL5lDX0MEUTuWozfnIqttHVSLMHuRFE3g80rjjdtu/WFJBpj3yD+uv4YUoILPJe7gV17lrF99xIgGKt/x81f0KXzhL/re/h3ocrj4mR9GV5vMB63vOIS8bE9yMzew1dr7+OOm1dxPmMLxaVnSe84jrDQRMrKM5BK5ZQXB0vClefXM9hVzJSBifx40IVSLjB7go5jl9xNOouSGj955T5G9lQSopFQmO8lKlRKdb2alC7NigahXkNoSnfiBlxDzraVGGcEFS5aYyrzrt9P+sABjLl1GtGJFZz4ZFELpYhEoUT420Uc/1vI5FJunNeP9j0jObozj9TuEfQdlYQ5unVd1Tb+PEilEqbO7UNylwiO7sghKtJHQlQZlbuXN7WRSCX4vG5SkhwsfNaDPi6K0wk+HmwoxC0GOGi18IUuBKH8U8zGIua9egMr38xjfp9YPNpSNGnfM0Y7D5fDQUR4GucvbiHS0p5wczJbdy5m+JD7mq4lCAJhYe2Ije1BfsERqmtaez2a4vrhEuRUVmXj9Tqxnl/HXomeUaZI1lWXAHDCVcP4dBdcef8bnSJyWcvfgkYl4PYGE4KqFMF9seEyVm5r4I17TSz6worVHqBXmoIJ/TUs+LiOcIOE8poANVY//oDI+kN2aq0iF/K9pMTKeO3uUNYftHPbWC1xETIGprd0nVbKJcydHML24068VwzLeq3A2D5BeaGkyscD79RyPDPoBr71mJ+T2ZVsXxJBeru2eON/d/5IS3EEsF8QhDPAUWCTKIpbCQrDowVByAZGXfn8v05NeSNGc7N1q8jlIFwRfKGPZ8sxaj3IxUJCdBYMWi8Wg4uzuSEgFfB5QSqXYtaaCOlbSmWmli/nJnLm4zEMyg3wvrZ1WYYmtGawlaK1xGErzv5X32YbfyI0JjlqrRylSsa9L42g68BY3E4fdfVqvHGjySz2IZcK9GmvZM9pFwkRMi7ke/EHYFxfNV/vbqTWFpSCI0OlFFa0dBX6YZ+Dp2YZW2zTqmD+DQYGXZkYBAFuHqNtmoAAfIHmRVzHeDknrkwGKoWARAKfbbXz2nYJ/i5dSLlhCCl9w3nUdgaNRMpzER2IdsmpPeFg8bB1iAoVnWIVqCQS7pbFUpWpxe/38unKmZRXZtGl80QqKjPJKzhKZVU2SqWWE6e/Y/vupWzZ/jJhoQk4HHVIIjqxpa6C0qoG1o7ZyEdVcRz5cR4fvD+MXV/fhKvmLE+XZfBCVRZH/XVEKlSMM0SyKVDNHmMjpy5X8P7C3Vw1OY3TvxRirXZwz4vDSe5iwecN0FDaiOQPcC39M5PQKY55rw1psW3s9FSM8clE9WzpIhrVcyQh0f/FOPlXJHW2cNMjA3j47RGkjimmtv1tzPxqO+9fTOIvn/SnIaBgytIbMQ/tRoYjlVX7lcgkAt+fk3PbsuuITAhmROw6OI55b45F5x9F/9RldAh5m5dvvMzed8JRZbzKq7M3cHx7DhaDnyKflwMBCTEJ/flu3aO0S+hHbEx3jhxfzY49rxMV2ZkQnRmvysDGna9RnhVGuEzDwpt1pMS62bi4OVu00ayh98hk/KH9EXtMgcT+MP19Lnc9jZPLqE1+1KqWZXYM+iiiKy4Q7iug8frp2EcOIXFAa3WrOnkwnceZuWtxRybPTeb5jZ2JmrgCjas7HW4wo7EEheKy8otNAjFAIODjq7X3U1dX9Hd/D/8OVHk9/OyXER0brN6Qk7ufyQ1PogAAIABJREFUju1HYTTE4PE42LbzNTp1GItaZSQ3/xCZOXu4cGkbh4+uouJyswUoY9sFJhoK2LE4nOXzQ9l5wsXGw83lXWLCpGw75sSglXL4oofeaQpKqn1sOuJE6xuCBCXJ4nPoJN0wd+hLoy2ftEevo9y0Go33VY5VBpP6nT9YgVYaRmhCNySS39gpBIG0CXcikf7zbBcmi5bhUzvx+AcTuO7u3sQm/3lKbbXxtzGFaxl+XUf+8u44enUqoGLX4qaqDLqoJAxxHak4vZfjy26j/JePyFrzHKHvP8pruuB8v66ukkPa6UjTPkbQdmLIGIEbH+1F7hEzyf5XsMkPYG/3Fg5TIvXWUnTacC7nHWTDlucI0UXgvRJPrFTqmHb9u6zRJnGq4Di7f34bkymWyIjmMJiE1OEcM6ag7DC+aZvbWkK9z0PiX1V/EAweFFcMtamxMiR/NeXeMzGE/eecvHynia9224kOk5ISI2P9QRcen8jsCTo2vGTh/ikh2J0BPnssjFvG6nhxlZVJT1Vw8IKbRrvIwk/rWbPLzqKVVh75oJb4CDlPfFJPrS1AmL717290LxWbX4ngxTuMLJ5jYsNLEQzpGhSKM4u8TQLxr1TWB8go+Od4fLTxr+UPsxSLopgLdPud7TXAPyeI5h/E0ejB5w2g1jVbxIrcTkabglkYfzmrJFp/CYM6hl8rjKdE2TiZF0nPKAGf149UKscQsJDlzqTDgDCyThSTV1JH3I/9KZhbwHGZld5C6/gFQWsmYC1FYx6OtSgTS+cBrdq08Z9JRJyeua+MpCS3jm/ePkJtRdA6e+5QMa/2S6ZdlIbqej86tUCIRoIg0GRdah8vZ8eJZheevaddTOivYf3B5rjYS0VeEiKkvHiHEbVSwO0FlQLufauGjx4OZVh3FXZnAL9f5OmbDdQ3BtBrJbSPk6NSCLg8IpdLfUy9SsPeMy5WbW/kpTtMvPmdlVM5HlRykedvUmGt8bBd0YvGEjulu6o576+i65BEFv1wE5EdIqhx+vkwoiuyC3aWzD7Gk1+9ztFLL3Ly9FqKik8x9upn+OGHeYwc+hAnz6yj99T30FVdosFWRnVtAUJUV5YHVPQOUSJ4JDgaPbw1ZxezXutDDr9QWZWF9ds5vHvHT7xnd3LSaaW7xIAgFfB7RRRRaqQ3qgnfU8Kxvfk01Lu4fN5GxrFS5r89FqfdR93xWmoOVBI92Ut6/xjkiv/smKGKIiuN9S7MMSEYQv92WatRM7oRn2qiKKcWk0VD+54xhMaE0/OO56noPZrKC4ewdB5ARNchKLT6v3mev4VM0JIgmUu4cDV+vZ3SYjXffXie0MkjufXZal6bY+Ku16tYeJOBCwVePD6BKl0kM96bgdTrZet5kbycGt66p9lqndotguh2MRzdXIy1xkljvYtKnJjkCtbb6hk59FGUx1ewbsOTXDfxJbbueJXcgsNkXNxK93EvUKs0kTb2ZX6YeYQ+YwJoE6IoyyvmuXXXk5dVg0Yqw2QN58IMOfqNSvKvL0MhhqKUnccq5oEI9caV3HjrE2z6fjlV1blERXbmuuteglArlRoJCFAR+B6TdiQd7HPI3voFErmClEn3EYhLYLOqhvH376S95DBOChBJJl76HAZ9s+WioaF1pJLdUYvDWY/JFNdq378rZrmC4243Q0Y9g/rIR+Rl7uD4mR+54aYVlDqs5Pn87FdZ6Nd7Bhu2LCLj0naio7pw45SPOLVV4LaF4SiUMiqKrXz42Hae2pyARhNCejs5WcVetCqBeyaGsPeMi+4pChBERBEsJikFlX6UcgntZHMJ+OeQf9SEJcWL6kYbSnrjCRjxOb5kc42EvvoQnvxoJHGpoaT1jkelVjFs0bcUH95CwOMidsAEwlKDgn1pfj3ORg8RcXp0BtX/5wm08Z+KRCojecwsQmKSKTuxE2O7dKJ6jkCm0nD2q9datHXVV5JSUcTg0DhGOw3UFkoJdB2FXzuYgtKfkPb9Gr/yALUXXySlwzbqfQ0UqM1EdxjLhR8fpa4un+iYboycuJiLgpLU2P6ICh25oYlsL7xISNwQug9ysfvndxjY9zZGj1rAZUHJJlHJN/X1LDE0zxOWbtMIkys5YKtp0ccorYL0JBk+r8Cd40OICpPyzC1Gamx+UqLlKBUwoX8oWcUe7p4YQkm1j5orin+XBzRKgXvfrKG42k9UmJTpw7W8+V2w3GNuGdzwfBWL72qZZK6sxo9KHlzXL/7KytV91CRFt3ShlkgkDO+hZniPlmVbAdRKAakkGHr2W7Sqttj9PwP/2Su5v0FViQ1TuKYpyYgz4Mfq9xAqU1BtlVBWKyFKeRSjIb3pmLhwO/szzNgi9Hg9fiQSNXXnOqBJqMAff5a+sfEcXd+IXPUzvY6259V2kayNKqaVsUkTCvZatGkx1OWdp402fsvoGensX5/ZJBBDsMC8v7KWpCg9xVU+eqUq6ZosZ+MhJ+ntFEgldk5kehjcRcmuk0HB+MhFN0/NMqBSaPjuFwfRYVIWzDCw+Gsbjc4AY/uo+XRzIwtnGujbQUF+hZ+KOj9x4TJOZHt4/gsrGpXA49P1PPB2LS/PNrF6ewOXin10T5LTpZ2Mc3k+lnxr5YHJOtLNbg6sPMyzwzN4euUUPnvtANmnK9CbVNy2cDDvPLyVvIwqxs/uxchrk9mwYA+jp3XGafey6PozjJ75INfdHMtms0im347TWc+Z8z/Ro+tUTrlctEscht9eycnIBlY32FD7/DwWGUfh7mIA6irtyMTm0iJudwPF1ZfZ7pKyva6CDpoQBuvN/FRTyk81pdwakcCQ+7tx6O0zRCUaqCwOTqQavYp3H9/UlO147bKjvLXlJvqODlo1S/PqyLtYjUIpJalzOGGR/7ddE31eP/s3ZvPq3Rux1jhJ6WrhqRWTaN/j97PiqnUaug3rQLdhLbdrw2NJGjmDpJEz/sd9EgQpWiEVgAp/OUPuHcF1L9eTFCXjTK6nKWTg6912bhim5flVVtxeEaNOwjsPhCIpb5m469p7evHavZu567mhAPj9IlW4iJFKuCsyiXnluQxJv4WJGjU5OguFI57hJq2GvQ4HVfpIDlrL6Zi7g8kPdWLD2/mMmRvLDy8dovpyPSMeGUTdQwoqzgY75XM20iCcBQF0Yg1qErCTgZc66uKeZ+LdM6jJ+Yi1e8MoaVRQFN0d8YobfzvJo5QbvyN68hx691uOy7CXCsNbSHiPIc4lrC2ZxSPxN6OQONEJnVBJWsbWhoUmIpFIW8QRh5tTMOj//gzH/w5YFCpeadeVu7KP0737bIb1vYcInZnXHA58EiPf2YpZrLBSWn6RYUPmIjW3R+6J4rExm5l4Zw8+f3l/i/NJrXU0Choevl7PyB4qLpf5WPuzA49P5JNHwzid7WFMbxUX8j2cvexh1mgtWSdr2Pm+QGVJMdff1wf5yIf4riqHG6Oy0Go+YqpGSZz0bnS3p6OXpCIIQQu1ObUn5iuCMIDb6WXrl2d486Ft2G1uugyIZcFHE0jq3BYH3MbvozKYiR84kfiBE5u2ueqr8NptrdqGyBPo9V4161fvRyqTUPZIfybNTSA0XoogTsZXfR9F7ot8UQ4vFJZxXZiEoYZ29Jr1JTn1ZZwTJWR75fxiraDA7UYj8fGQxs79MSm8VHiRiOhhTJtxNYSYWe3x8UHZZcCJBIgKeKkzxZM2aC4XjKncEdGOt0qyEQC9VM7c6GRWVeXz2oLurN8Q4NEPa/n8cTMNdj/f/2LH4RaZP81AXHiAe9+sY+FMA++sa+C+ySHcOlZLZZ2PGIuM4urgeDa2j5pv97bMUxEIQHmtH7VSwPmb3AqBK8YEt1fE6//v5fbpnqTgvikhvP1D8zwyto+Kbklt5Rv/DLSpLn6HikIboRHNAf3FbgfhMhUSAY5lykm0NCLgQ61udmeTSkTiQ8rIaOiOz+3FUZyGQufErA6l3JePXAl9J2kpu+wlav8hLlp87Nqb1PriEiloTOhCtNTlnmu9v43/aHR6JSGmoHZSo1Pw4NLRGM0aKktsSIQAnRPkdG4nRymHr54yIxFEVi80E22WMmu0ls4JwYFZLgs6OTw9y8BHD4cxob+ahZ/WcanQy9zJetb+bKddpIx+HZQ8NctAjdVHp3gZz35e3xTj5nCJ+AMCFXV+Hl9ey7UDFXx3v4TMz7YzKzyPz+6R8/YtcvyHj7Nk8icc+P48/cel8PVbh8k+HYzds9W5eOexnYyZEVQwxcTqeHzKd+Sdq+LcoWIGX5OK1+Nn55d5KHxRlEqUvO6GITd8jMPVwN597zJAIaXU4+R4QIYpxMK9UclMNcfiKXHy85vB2FBzlA6vUNLiWXbUxbEwLB0FEi45Goj8TXb5NZWFGFP0XD+vL71HtGPmowNISreQd6GqRfkfUYTVSw7hcfvIOl3O7IGf8ejEr3llziYW37uZkrw6/i+Te6GKJ2/4DmtN0K0052wlL96xAWvtH5uZu77GQUWxlbi0MNzI8XiDmnuZNPjuZhX7CFELrNrRyPwb9CycaeC+ySFkFntRxITRfmBQYJTJJQiyoO4472I13YcEs82aGvxsqCljoimc15O6MSg0mny5jlvyLpJuiiZXGcqo0HZElp/h2sYCrLm/UGbbxrhb0jn2Y7Ce6L5vLiLbHKDhikAckijgj2tO0BQujEMjtG/6LOIjTNOTO5dG8fEWKc99LMFY+0zT/oLAO0RIplKr2EFlwqsUGd7EQzkuilCqH2VBQijR8kGYpaNaCcQAkRHtufWmFajVQZdKc1g7bp6xHJ3uz5fXIs7vYEFsB/qZovDqLLxXXUZvvYmttWU8EBFPJ0cVOfmHqdZE8KFPTu7RBqpKG4lKbBk+Epcaikz0E6ewk5HvISVWRu80BS/cYWTRbQbyy3x0S5ETrpcgEQR6pCkwaeHgKiUmi5aTewsoy6unk0/PvIRy7PL5OMiikXNc9N9PHT9TJx76m/eRfaaCF+9Y3xSHf+5QMe8t2IXT7vmbx7TRxl+jMoaTOv6Ov9pm4fwxkX2rMhBF8HkDrFp8kDMHL1PuX0dxZi0XLuzl9Lmf2G8NzmPra0sJkyu5s+gyC+qtrLHWcbyxlgH6MAAcAT8+RNZUFHJ7RDumhMchDYnApArhqK0aAItcyeeJ3TCGJdNh5pcUJg7nnC/AAVsNrkCABXEduC0ykZUV+RxvrGfvKRcfb2pkwQwDuaVerhmg5vPHzXz6aBhGncDspbXEW6RU1ft58LoQRvRQMm2olkHpSvLLm+fqBkcAo661yGMxSfH9RvDVqISmeeK+KXrax/33Emqq1RLmTdWzeqGZJ27S8/GjYSy9J5RYS5tQ/GegzVL8O5QXWltkM813OYi8Ek98JFNBclgGBnUUf23mjVfnc76+N5HqHDx1oZg7FyJI9AhAvb8Go9JMn4kaDn7npc8PxSxPSqf7+XDM6S0zsgo6C1p5gMbyfHxuJzJlaxeNNv5zSe5iITbZxIjrO/H5S/uw1bnoOigOXU0Np/N1fL6tEY8XuiUrmDlSQ0G5j1vGaDHpBBbdbqDBIRIXLmPldhvvrPMzbZgajcZLaowRnx/W7GzErJcy/wY9J7JcDOgcLMfw2VY7ESZpUy2+hAgpRj1IJNAhXkbPLkpQO2isdxDldLDyrjXc9Eh/ti0/0tz3dAv71me1uB9RDFpEIDgx/1ou4tCWHK6e1YU5i4bR/ZokPn9yLzd9PpynHDZmu+TcOHYpI/QG1nj8TFDr6KDSUeuswxYIEOkz8P38XVSVNqA3qXjkwyFsPXpt0zX79HmA17+MpLxOycqZo3hFfqRF0Se/KKJXKXl59g/Yap1oQhTMfm4otobWWSTtDW58Hh9r3zmKVq9k5vz+5F6oQiIVyDlbQVSCEclfB0P9H6E0t45AoKUmPedsBdUlDf+lG/V/l0sOG5tryjlrr2dCWBTDDOGEK1q7kXo9fo7uuMzBfeX4EhI4XurgvmsNRIZKKajw0TlBjkwK3/1i5417TRzO8PDJpga6JSu4uq+at76z0fdZHaGLu3BPRU8ivHIkV66z85sL3PbkYK6a3J7KrYX0npPIoqJMnoxNI1Qmwx4I8ER8B5x+HyU+L+ZyJV5rFd/ufIyJ4xZRWJBBUudoXrt3KwBqrQL5FZc6Sz8JPV6r4nLYx4AEi3ANBqEfeYHFJEmfRBTdCIICrz2OoqorJdOK/TjzR0Doc4BIADcCAmbJSHIDLV0l3RRjYxPKQAARPzXibgKikzDJSPRCT7weD2UVF0GAu277EqVSj0EfSYjuj8+u+9/F4fdReOZbOnebTqZPoNrr4ebIRFJVITyfmI5aEDjotVM44GFWevwsi2jHy098CYBEInDvyyOoKWtEZ1Didvr49MX93PXCcCIjQ/B4RfwByC/zoVMLJEbJuHNJDdXWAFq1wCuzTWRvO8u+DVlUlTSQ1iOSvItVuBs9VOtXtOqrXcxCRSx+0Y1UaJ2Epyi7ttW2g5tzqK2wE5P0581+38b/PolXTUUqV5KzbSXq0Eg6TX+ax2e1Vsgc3WhlUtr1fL32fkYMfYDCohMMGSiwB/CJIgFErL/JiH7R0cD15lj66Ewca6zjzaIs3kvqgt9Zi9NpJ0UmwZ6xj1d019AYk4YoFdj/yD7GL+zN+RA3n1fnECZXcFtkIqsrCvjZ2rwefiQylS4BDQ9NVbFqh520WIGR/Wz8csjAm99ZsdlFIkxSFt1uJBCAqDAJ4xdUoZDDshkCQzqb+Hhj8FybDjtZdJuRx5c3K6ojTFIGdlbwwu1GvtxlJzlazqRBGr7a1cib94Uyod8/FqqQECEnIaJNCP4z0iYU/w7lBfUtkmzluuxYFCrKayU0OARE3UkMlu6tjouR57DP2Y8Ge0/ComqRSIOLe5M0klJvLkapGaVGQp+rRQ59U8vll4rYvnIAUx/fh9L4m6yhWjMSWxm6yERqs09hSR/Y6lpt/OcSGW9g6frpnNpXiK0uKKTJFVIyd17k2jFpTHk+ivI6Pz4f1Db6iQqTIKsu5ZHB3zBgfBoluXWoDWoGPjqZt39oYHj/UnoNWk99fRiO0tuIDjMQCIj4RZGruqlwe70kRIIlVEWf9irWH2nkkdlKNKkOtkjO886yBApEG3MbzrIqohPTHu/FyY1FKJRSbLVO4lJDmxZ39dUOLLH6JnfkXzFHh3DnM1cREafn5scGsv7TU1hrnGxdfY4+IxOJmBqH3ebGX+ehu9bIJHPQ0rW0pgy/KDItNIJz256jIGMTs274gUPfVjL8mg7MXjAEIVnLUncmE+M+IMxRi9Qdx8c7Ytl4RAA83Px8LV++1IdGVT1PxHVALpEQIkhZN28fttqgBdTR4OHDhbt5duO0K7HazX2/6eH+BAJw/kgJ18/tzduP7mgSFLeuPsf7e26hy4DmmMyqEhs15XaM4Roi41smT/qz8delkABM4Rp0xn9sMeH1+CnMrKa20kFEnD747ridTD5/gPwrdaG/qiriqfiOPBnfEYkgIIoi2dk2ynPrUCtEHI0e4nsl8PpOCScvuzmRXcMHD4Xy2Ed1vPOjjaX3mMgo8HLskod7Jum4bqiancdcXCjy8OGTBl52nWBuSgpGv4sXRn7DgyumMXXeAL5fdohNn51h8KQ0dnx1npv6hzI0zcJhuxWH38+qygJGGi2MM0ZwrLKKxFINYuerkEikFJWcZuCAe5nd5bOme534dH+2jaomdoiWDsllqE020oRXkSBHKUZSGviKUOEqKgM/ISeUcGEc2UW6puPHd5eQd6yEhJ5mPFShwIIcCzpJZ/yBlr8vGQb82CgKfIItcIpGgrWZ8wJL6e7fQVF2IaWl55HJVeze+zZ9+k6jX++Z/9B3+EdTVWsHBPZVF9BH1QU/9ey1VxIRrmJ+7hnaq0OYYo4hHugoSClYm0N9jZO+YxLwuv18sHA3Wr0St9OLzxug35hkQiIMqJQBDAYFbo8fhRzK6wLU2Dx8/3QYvlorLqsdc2g9ZwJ+OvaOZsz0YBKryhIboREaqoho1VcJKpxiAQ3iWYxCn1b7f+ux9isJ7cPQ6tsE4jb+e6hNFtLG30HiVVORyORIFGo69Csg82R5i3bRKRKqq/Pwep0IQjBrdWzJEcaG92SbrY7tdRV01eg562geYxYXXWJdWC8kFgG8lZz48X6KCw4D8KsK/OrrUrilXMON8kg6p0TwxrVbuO6D4UxKiabe52V21nEejEnF7veR19DIMJmJTkoDDbn5mCt8vH1bGJZeHyOrncjnW6XMnaRHIoGJ/dV4fAEOZbjxegTevzcEX1Epmxft4cm1M1h6n5HX1tiwu0QCosj6Fy0cuOAiNETKkC5K+nZUMaCzmjvGhaC5Eg987SA1Ok3rsktt/N+nTSj+HUrz6gmPaY4FzHU20k1n5NhZOYmWBgRBRKX6qyQwoojMayNCWUZxQyKx5mNNu/TSMKr8xdj9NrRSPbowNd2uqsG7qIjdjxhJXNaXAU/vQ7ji2SGEWAjU5GGI60DF+QNtQnEbrUjoYKa8yApA9yHxKJVSsk6Xc2jrZfqMakdip3DC02Lo1VWLvd049EVPMvT6NHZ+dQmFUsbsFweQXeHhYqGXjsk2BATq9U+SoLcRGjYJ/CZ8sizkoduwyIdj6baGIzV3c95lZFffPGp9HmyOoGtSb5ORj0ov0+j3sawql5t9F0hKH8hNsQP4YOFuZjzcH7lSSqPVRY+hCfQe1Y7nZq5rsgjP/Et/KgqtrFl6iEBARKtXctdzQ1n+zF4cjR5mPtGdNY5Kes3pzO6njjD8zX48V5JBkdtJT52RN9p1IWfjU5iVBroN/4KFYw8xaXZPss+U03OSkTyTwKasOjYBq40TmPVsQ4skGG6vSHkJPOI4ge+KtDtEZ2ZwWlBgVSgkjJ7VFY/Di0ej4bE9D1FZ6ydGHyDEXkvHnhZ0BhU3PNiXw1svt7Cc+rwBtq053yQUn9ybz7Oz1lFdFsxuP++N0YQYVbTvGYU56s8Xf5yUbmHaA31Y+05wvJNKBR7/cAIRcf99Yd/j9rHp8zO8/sAW/H4RlUbOS99MpbF/SJNA/Csfl+ZyrTwRu1WCWFvH8vmbGTIxDbfDi86oJKWrimcGOykcEsreS0HX55WPmKis9aGWuVBeyiQ8PZSHPKcpl7pJH2Gg1OukszGRo3m1nMg6xuLTFvx+ke9e2cONb1zP44NTcDe4iI1Rs+vbDPYsOkrXN/rwhlhIjc/DaGMEXbVG3ijKZm5uKOWRItluG3GhCYQa4yk8peLh98eRWVSDsXsYGyNt7GrIYqohjHGoqRH3oKEdFeJ2lGIsSomFwsByQoXBeLFiD+Syfu9EBMHHhJ4yugplaE0evFgJ84/DZL0Tu78cU1g8yfJnuOx/HgABKQnSeRT5P0IhWFAJ0TSKQaFYLSZw/uRB1v30VNOzHTZkLkeOfEt8YkcSIob9g2/G/z7WGgd7111i9WsHmf9lX7pJBXZtCzC6n54uMVpWVBbwQmI6b5dk82rRJYaHmHkhIo1TVbk8teYqEtMtVFwSCY8Ooao0GA+oUEqZel9vPAo1jswCvCo5oTKBsZ0t+BRKlKKfQ9+eYMXzvxAIiGh0Ch77cDzHd+Xx0ycn6dgnmvnLrkapUhIXmEOVbxMiQSubFC1qIQ6/2EiRfzl6oRsSoaWwm9Y9ktHTO7Pj6wtN/Xn03XEYza2F5Tba+HtQ6IJjc7ajAeO0OEJ/aM5RktDBSFhqKQHRh0QiY9+B5Vwz7hlOn/2RSbX5zOk+HbUxnFmWOJ4uyOBYQx2xCjVPxnfAKhV4piCDby3hVJVfaHXdKqlAo9fHt5SzYWQ6q187yK5XjpH0ek9WukvwiiKflOXyqieJmscvoXiuFzntHSRFldGnWymytPWQP43jR4wUVPh49Ssrt43VUW/3o2+oYoDOjUuqositwBdh4cFVs/BoHfycksWql9IJkylpFyGl0RUsnySVtvTeCtU3C8HyNiPvfyxtQvHvUJJXT4eezclFcl12xpoi+eqSgvYR5zCoWrtO4w/G+JhcHgqURgb8ZrcECaHSKIp92bSX9gKpCkusjYROMVz4NpMyfSI569qTOjVYYF0IiSRQdBxTn0kU7F9Hl+l/+Zffcxt/PpLTLXTqG02/McnkZVYz7YG+rP/kFD99fJL4tDCuvVtE5dKhaOelLO4mxr0/hPELxiPIPSTHGlj5dHBxVl0nI9JkI1yYQIH4ClERhaiFBEQxgEEYTr5/GXLBRO+iMLKL7fROMfKdtRQBmGKOocrjptEfFJBPu93MlMvZvOoUKrWKuxYNI+9iFeZILZHxRp6/9ScssSEsXncD1fVO8kO8pCh0LBr3bdN92W1uvn7rCE+uuAZB5qUoq574/iY2pFQxcUIC2c+c5t2HuiOLVxIhCVDQ4KPjsCXU7y9m8S3bqaty4JQqCZ08gtuXOUmOkfHtuNHM9+/HKfFi1EmaMlT+il4rxSxTUu4NWt73NVZzzdgkxtT0JnXqQL7c60QbI5DaoOX5L+rJK/Mhk8Knj4RzYskhblkwiCET0/j5h0utvqeGeheORjcXj5fy5A3fN8Xf1lc7WHzPZm6c148tq88xf9nVv2t5/XcmxKhizqJhjJzWibpKOzHJobTr9I+53OZfrGbp/VualAouh5fnb/uJp3+Z3qJdmEzBfH9v3v3aQc8UOaU/nWDUtE58suhnZHIpdz57FYvv3Ux5gZW07pE8uGgomSfLqO7oZUeEjR9tZXS8WsftkSGcywmOuXtswczLKyryWZLQlScKzyGqg4ukoktV/PDY98x4cyqVMhM1jfCX1dORqmSU18tZER9HmDmAzeok53w195cZIEHB68oCHlUmYPU4MWuG8d6CgwxZPRTnyGheKcnG4wvQS2dkllKgvPgcgvEwCiGU+sAxkqRDqQysJ1H6IH7RiVRQIW/sTVJtCUtHyMjYcZFzDjd9X+hLSNa4P8gRAAAgAElEQVR3FJbs5nzdWhobq1AotjFpwjN0M3bEKh5HIigp9a/CQwXRwkxKA6ubnqWudiorNz7f4vn+vP9Drh71OPWOLBIY9g99l38Eh7de5tW7NwHQIE0kJaDmokbKmSwfu4VLPKhOxFHi5iNtOiASplFy7tNsjmwpo/JjG9WljXTuF80TayZTmFWDVISEVDONHgkvjviQ5zZOo/h4JReOllBb3kifUUmkdo3gk+d+buqDo9HDe4/tYvGPN6BUyYmM16MJCbpFa+hAqvQFnGIBAlLkgol8/1tYJBNxiyX4cSGhpVBssmh55O2rmTKnJw11LmJTQknq/OdzaW/j3488l53HZZd56LuhhBb6SJaJWJ1b2H/6bSzhKYwc9hA797zBug0L6ZA2kp5pwzmwezE5ub8wfNhzLO1+E2fDGwlVKDhoq+HD0lz8iMyskrBk1JNs3LSg6VqWqC5cUFnAVYcnEMDt9ROTZCLrQCmuO9x8vXIsjUpoOFzFkZ/OMHBBT940lDG3JIbtn1bQe4KRih9v4udvqrjuNSNDuohc3VdNrzQFDS4vcpcLQ4yZZ1e62Xsu6HUpkzr5+slQ4s6nMmVTPZEmKQ9O1fP17kYGdFJy3xQ97aLapN82WtImFP8OJZdrCY8NWm1qfG58ooijToXLK+B3nsRgae3mhLsRly+cUJ+Di7J2uP1ylNLmuAuT1EKO5wx2vxWt1ACCik49JRRtF/nJuA/txkmEda4mtEMNhERAfQn62BQay/Nx1VehMrZNhG20xBwVwgtfXsfhbZcJj9bx8bM/Ex4Twi0LBlNeaOWDhbuZeGd3pl/zINn+J7Er90HqfmIkt+B0pjKmewx7zsD2gybuSo5EJ3RAJcZQK/6MKHoxS8ZhE08iFRRIHPFsePcc0QkmzF+U8+WygYgaCe+VXmadrTmB1Wi1inO/fMY1dz/F4tvOcGJ3PvPeHMPnL+6jripo7SvKruPrN48Q3SmUnJkm/Bmt4+bKC624gD0rMulxVTwDlCZWuUp4IsXKiC5hZPiKud8bz8F9YI40sinbSYzDxy0LBrFhxWlyQxL54OOgJb2oykeI1MvyKQOY7zjGk7f045F3m+OK0tvJOZ7pZlnfwdzoba4dq45SE3rdQG5b2tz2p4NOXplt4vHldfj8sGCFjTemJHPpRBn9xyYzeGIaR3bktriXXsMTObozj8wTZU0C8a+4HF4EAXZ9m8H4m7sycHzqP/w+/FHoDCq6DYr/H5+nqqShVXyytcaJsj6AWa6g2htUPN6sTOXkNinVNj+uBhchhXVkerw47V5mPNyLFS8E3d4FAcbf2pWnpn9Pp6FxlI4T2FITjFcr97qYUx/P0vI4Ag0+/Ilq3tWUkue0k1wm8HJuNJ27RGCJ09NY5yI22cTpNQfpMjCWsnwrhXGRPL1DR8WV8IW0OBnLX1RyJMpNjsXBEWcxKRItfWVS3N3eJuuwjDvfHsoNjmxifWoejk1FKgjEEuDomhmMvPoWooTRFPmXkyJ9isbAJSIk11Lp3wiigLH+bnIOGDCr3Yi4uW52NxQqGWqTDWQ2XC4HuXmHMOgj6dRhNBkXdzNg0FRq/T9T4F+GiJ9wYTwGYQD5vNH0fN1OEb+/ZdKmYH1TAZ3hz6Og8bh9rH3vaNPncGUob6/3kBQr5aOf7LzzSho3lx4lTaEjxa3GrxCY705Eb1LRbUg8JrOGQEAkLNnAalUFn7Qv4fOEXjySuhqfT+SahX15QVnARL0Su9WNMVxL9pkKdIbWccBVpQ3IZJJWwqtCMOENVFMW+BIRP34aAVAL8WikKciF3y9BZgzT0HNo4j/vYbXRBmCSKXAFArxKPsTAKyYjVd+tRBQDVFRmcf7CJm6Z8QmN9hrsjho2b3+Rqurg3OaosfFinzXM+3Q8nigv7cLU+K9k5bjobGC5IZW/3Pg1lzMPo1ZEYerZn7EllwGIUKg4viePaQ/0YeXL+ynMqGHZqO+59/CN7Ojho6F7NB87chmtDmewPoKkKT1ZveQgIeE6xjwxgc8PQLdkOR/+P/buOzyqKn3g+Pfe6TW9JyQhIYWOFGkiVkBZdRW7ou7q/lzL6rpr76trb+vqWlZde5ddOyAIiBRp0kIJAdITUmZSps/ce39/hA2GoLKKzBDO53nmgdx7M3nv5GTmvvec856PO/nzmU7a5i7BVdvO6CunsHDDnmvuiAK3vtTByGIT/qDGzsYI1/3Dxb2/iefWF9vw+DX+fnUSBkPfrPch/DQiKd6LtzOItyNEXFLXnOIKv4dsk4VlW4zkpbrRywZM5n0Mcwx00uHKw2RuIFWXzrbOXAbHV3TvlpFJ0WVRGd7MIN1Y0FmRNA/jTkjjy3d2UT3ma3SPj2fSw/MwOQFLHHJnI4kFw6lfPe+ALFUi9D2Z+QkUDk1jw5Jq8kuTWfThVlYvqOze368oiWrlXrLki5AxIUl6WtS52K2DmHZ8Bisrk3j8HRMzjp+AKe11jHIS2VyGTrKwXbmbZPkkkuTjce3KIDXTwdtPfMOQyf14vHU7GV4LJVYHKzpdRDSNY5xJjGsrZ0XTFtaG7+DGV2+hrSYFm9PQnRD/V9k3tRz96xJan6+h5IzS3udVkMCWAo1BE7L4+w3z0N8ic8tb01EHO4joJfIlG598pFJk6mDuX/6Dx+Wj8KLh7Krv4OQ/Hs1v3+660L9kkkxRqIZVr63jgy+d3HHjEaQdGeFlWxLrtodxWGXcnQpPzuqk3WvjxCmpzG3r6jUsDTu5Y27PuFUVNlWF6Zeqo7pJoaFVQR9np7m2Dp1OJj7FyhX3H8fSz7ah08uMn1aIM8HM366by5TzhmAy6wkG9lTE1OkkdPqueRO7anovmXE4SctxotNJKN+pBJqQaiMnK47PE47iX42VrPK4GRZOxZEt88YrbQzsp+OKSf3ZvKQSAJNF3z0PfMTRuXz14VaC/gglv+7PS4GG7ue9QpfDp79bwKalXTd09AaZ298/GfdgK4Y1IT685isc14/jpn+cRO0ON4s/Kmf8SYXMe3sToWCE+LNKuxNigPKaCF8tNXPJ2AJ2Bj1ckVRAATb0NR7C4Wzqd1SQOtLCzKxMnmuq4cGarZxoj6N/22YCgQ6cGQo+tpMhX0Cl8gQJ0lHofSW0zRnF7Ne2sWLOJu58tYjmuibSc+N59cGllIy18etHytn6pZ+vljwPgMtdRXXtGk49+V4iIQ2fXEmufA0SMm5tCT61ggG6e2lSP0IlSFr8KOy2ZDzelu5zMZkc5BcOITn+0FmKSdbJPaYfVLfqeWVeO1ZzgD+d6aRipcS7IyewS/JgUSSSdqm8eud8rnzwWOJTbdx53r+7b8gccUoBj90zHItH5YpXTqYjQeK9OBeLgy6Oz81j+ZztXHbX0bz1+HKOO6v3e1dGbtw+5wJLkkSGfAE+bSe7tFnIWMiSL0anOUiVp/9yL44g7EOJ1cG1WQN4om4bAPe2d/LZRe/QUPYh9fUbGTXyLFLyLehdOj765xOEI13vdzZrIjr/UFobN/LA2R9y2u+OIHdyJrcNLuGp+u1YZR1DEzK5u6OVwcWnkNQhkRWx82LhSGq8XlIxkjLUx9+unsMf/nYSbtVEUqqVnRutnFVaTD1eLnT0J79T49lL59Bc18GU84cw+uQSRt7oQ9MCzFsNOhnk+no+eX41AIlTJ/Q6x+0NEU6duOdvUdOg06ehk+HlOR5uOi+OvHTRWyzsIZLivdRWuEjNdnZXi93s7STTYGH+FiMjcpYRb8sCFAyGOmS9Gw0dSiQVX2uQUDAJ2VlFP0sjZW0FPZJigDhdCm5lFy2RepJlGyjtxFszSZmRzOw3tnPxwBTWPDGGsbd+jRSXidZaQXLxSKqXfiySYuF7FQ5NpXxtI9NmDmPdkhraWroSuaIRafQrTiJdvYxtXNt9fLw0jg5tDc4UjbuvU/jdOZm0Vg0jy3cu+ry1NMufgaZSpHuQiBIgFJAJ+ofhTKwh4AvjdflJVvV81FrPUFsc12cXk2u2kifpkBQ3pSVTMeuT0TQdq+bVcvEteeSWJFG1pbU7hgnTi2hyZpCWGuDTR1Zwya0Tee2hpUTCKgkpVi577kTUkI77bv8QgEhE5YkzP0KS4Iwnz+emBUGeOifCo+e+251EPXPDF1x00wRKj0jH9EE7aQkyBZ3bmfXYYgCqy1tZ/3UVdy45l1mLbcxbEyAQ0rrXrd1WG2G02claQzt3xRehVvnQyXsKG/2XTob/dmiOKDTi2lrHsGFdRXWGTchhy6oGDCYdmqrh6QzRf3AKvo4gc9/ayAU3jOdf9y5GVTUkCc69bhwLPthMUrqduKTDu8p8bkkyt754Cg9e/inBQARHvJm7Xz+NtJw40oDHCoYR1lR21CqUl3XNgdtUrRAYn83o4yVWfLEDWe66yaBEVFKynGxYWgNAuDOMVdbh3b0G74Cd8NrSPSMcImGVhXetYNSNpyLb/Zxz7ZEYzXqa6jt57Jo5XH7vMTx69WzCIYXiI9LZUqv0iv+LpWGGm93EtwRY9vl24k7pT9qElTgGreOEgmORNTvp61KZOzGbsNKKa/MnEGzlosvupznpXmxqEanhq1CajqW5sYzaxjbefXgbW1Z1/d14gmEKLygksqadHRubuOihAahhiW9WvdkjDkUJo6gRDHoritpJpfpo9z67XEqL8gVWqRADSfidCzjnwjuY9e6juFxVxMVlctaMB8jIzcEpDzmgv99fkl4vc+4fx7Lk021Ewirtvq4/UF9A457X2tHrQPcviTeuNPPgqS+SmR/Ptf+cxjZrmBf+OLfHCIU1H23n5N+OYNOwMP8udrPK42b3NGAMu/+NhFVyS5IxmQ1ccutEXn94GeGQQnyylTteOe171ye3ynkMlJ6iv3YjqhZCjxOTnIksiUsx4eBy6A3cnFPCyYkZNIT85JptDLXFMTb/yO5jNE0l3lbOVVd+QH3tdppUlbykYTw5cw3QNV3gzceWc23BVCYNy6Kw/3B8aoTbKstwRULMA9DDTHL5qqaZP3myeO2U9zn3T2OZMH0AO+uC/Gm+HQhjNXfgD2poGjx/tY0bz3mWcKjrffaFuxbh94Z46upR/PWNTjKTZK4/1czrV3zSHWscPqBngcfpYy0sWtdzxQiTQUJRIT1Rh9koeomFnsQ78V52bGwmI3dPkZgyXwfxrnRsZoWQr4zU/vlYnO+BakWJxCFLKgbzFgxDVEJyO/42mUxrM2tcA2kL2Yk3erqfS0YiQ59PZXgzccZxGJQOQGOszcg7Zybx1nvfcE7GFLa8PYiSI7PQmspJGn0J5Z+9SKCjFfPuteAE4busdhOnXnYEtRWt3P/+DOp3tmEw6bDaTaxfUos+005Bye2oWgBJMuLXdtKmLgNZwmLOh9yLieevXFrqYurMYsaddhVtu0KkXOimXfclmlUlZ7AHY8d48gemsGl5Pb9tG808cwvrve2s97YTpzPwr8SRyLUjWPtKO23NPqq2lnHcmaXMfnMDx80YSGdbgJ2bmhk6oR/9x+Uz5eEwWcm5zJiai6nIwFULsqhuacOVLHOhtpmn2wtRIj3n/moaqIEgZqOBhrKGHr2KAPPe3cSwswfwpzOdtDZ6WPTI6h77I2GVpqVNTDmihI+W9hzKfOo4M85lQW5qi6N0APzturlc9uT5PT5U9ToYlGfgpc89DM43cM/5Vlq+CVIysqtXLSXLyeV/PYaGqvaunqG8OHQ6mQtunMA/bprPvHc3cemdk0jPjScUiDD7zQ0kZdg59bIj6Dcg8UA2i0OOwahjyvlDGDg6k7YWHylZTjLz96wbK0kSRknHgCyZMaUmTAaJYFjjhnc17j+nH394fCpLPtzMBdeP45X7l7D2qyomnDyAWc+u5uu/r+PqtybyQGgnEhBx917ntXabm8zaEEdMTmbNwq8wWfW0777BFApEui/QdmxsZvpvIny6quf3nz5OT1JhHDU1XgYfmcWDl8+leGQyVz97JeUdyegkB0cPjFD2TRW5xYkUj7+cxpCfL5p3MWnD67xx3waOmOxiec2Z3c95xg3P8MB5bhJSrHxbpPKIfz0va11D1SVZQZFdWMxxBIOeHrE4bMkYdDb6SzfwbeR0NLpib1HnU6J/jI2RS4nQhqQZGZr7JpdccS+dnbuIs+WS5ByERc762b/Pg23I+ByeW3wxyz6voCBFw2KS8Ae73h8iChRlyei8XQW06ne2sb6jnfyERFoaPL2eq+HbZjpT7KwK7Zk6cYTBScfCJnR6GaNZzwXXj0dRFAaNzeKhD8+ipd5DZn5C91rW30cnWbBJRQfuxAXhJ4o3GJn0A1PzJEnGoS/BkQV5WRNZ0eHisvLV3PfC8TQvb8Zd7yFvVBq24Ym0u338J9LAkUkphLU9n9txOgPFFgev7qrifms1D398Gmvf3EpOYTyjjknnxDaZuauD+AJdf6s6GVJMoe732//69zOref7CoRTMVPC1trPgyfU0Vu75+1z24mKevvlU7n4nQHO7ytQRBq44xc60m/cs8VTSz0Cbtyu2u86xkJ4oUiChJ9Ei9lKxfhfpu5NiRdMo93eSsKWY7IRqivIDWBzfEvINQ1X2XKyF2xUCzY2kDNmKErDQtsNOnr2Ob12lHJO+ssfzW2Q7cXIS2yObKSYBIu0Y9PFMTLewZFoc/57zBb+afwqOxBPITHwOvdFM0oAjqFn6MQOmXnwwXwrhEGIw6MgvTQVg+FG5fPtVFV/9Zyu2OBOL3wgx4bbFtOsXAiChp1B3N9uVv5IrX9n1BGrXEF6D3srz15dRW+Gi6Lkk7nz/cjo9zbSRijPJzBX3H8sbjy7jw99+yVP/PBZ3gRFZlRioOajdbAajg/P/MoX2OhdSJMKyzysYOCqTZ275EqNZT7+iJJLSbFR2GIEAdS0Kf5sNzFZ4+VYnCQPMSJYAf5bsNLUqPSrBAjgTzHTobJx7rA2lofeSCbZ4E01lLo5M1iDPRo3T1N1z/l8+VxA1sJ2bz83nyX93VaL+v+l2Etz1PH/lHAD6vzKdDpcfp7uRN29MZ9ayIFazxK/HGok3hZn/SCopFgWrGiD72rHodw+BBtAbdOQU9kxwT75oKPHJFv7z3Bqqyl2MO2kAsl4mPtWKElHJLUqiYEjvJVsON7IskVuSTO4PHKPTSRw3wsz7d6Vw4/NuNleHWVJp4P7LhjHtvEFEwgpjTypi+UoXuflxhCIan7+8ls4nKnjjrlFsCHZSWNB7SZtJMwYxe5vMJWeauOu109i0qp5Zz3RlvrJuz+83HFJo+motfz5lFM/MjaBq8LvTLZSOlWlf1UbF+iY2LK0h6I9QvqaVDlcKBtlGiiWEkhwiLiWFHUqIWQ072NHewaWuVJ655xs2raxn6kW5ULMnpu2Nb3DBjddy5KmluPINnGUqQDN0IklQ9qWeIyeUc+LJv+HdN+/p/p7EhFzy87p6e+KlCYzSz6FdW4UOG3HSGOxyMUfqFxGgDgNJ2KRCJKcO9j2l9ZAhyxIDR2eRmuWgpdnFk+freGgObKtTGF+i56JhHlq27blAznLY2GYLMnJKf1bP2dHjeQqHZzAgYmRIeiLleHF2QMfnDaz6oIK7Xj+NfqUWTCVzMUpJ1AVm8cJJJzDl/GEMGJoajVMXhINijDOR9waNZ2fAw6BzConTGcgyWWkJB/k86GHGRieq3cCz/Y+gORjAKMu0aGEeqOkqQOlSwtQX6fn4citJeomsVI3/O0ePwSDx6fIAOak6bjpJQmto7PWzbXEmln1ewdM3zkeWJa566HiWz97evb+qrIkh9g7+0L8OS4KNVAeseXk97/3pCDbuCJKcYiHJqWPzTj+vX2lkpLgvJeyDSIr3Ur5uF6Mmd12Slfs92AJ2djYYOH3i+9jjIOgZh7bXy9axU0ECmssyiM/zkjpsFYM2q3y6ZRpHJq/Hqg/2OD5Fn01VaDMNkpnMUCPo48kLQNUgOx1ejc++/hjtrdOYNPkD0k4NkzZkIjvmvUXhlIuQ9q56LQj7MGBYGtXlrVRubuGr/7SS1f9SxsycSkRuRZaM1CjPoRJAlozoiaNhXRqjjnNw+u9HMub4fFp3eRkwLI3MtEwMOTp0u5MCvU7HhTeMx2jSI+tlFj21meTsOGoDTTx/x0JOvmQY/hQbrY0e+g9KYfKvS9hV3c5f35tB/Y6upc48bQHKvipj5tHFvLG4a37tuRP0VLxfRvaIfiyosXHUFJVASoDr3j6Fl/4wj21rd5E7MJkzbj2RdoOFZMVNam4anyRauueQApxzzZG01nnQBVR2bN7K2deM4bFr5nTvT86wEwmrvHrTZ/z+/uOY98AgGio7mf/0HJ6fu+cDNhiIcNfrp7FhaS3/uvddJp1Wgt8T5r6bt6M3yLy39ardN8/2bxmlxFQ7v7pkBFPOG4JOL3e/nkVDRSL8U5iMMtOOtDKmxESHTyU9UYfFJMPu6r3JGQ4sOam8s8DLjtzR3PrpKAqyjRQVJ3Bsk4cdHW6ue/pkXrpzAe2tPo769UDSJg/nAoeDwkw9suzEYNIhS7D6y0rCwUiPGzRL3l3PnWcUMunxNFQgMV5h56wK1n2+k8Fjc/jwn2tITLNx7eMnMue5JWxdvYvfPTCcvFSF6ll6+h+VTorPhrPdxqqPK1AUjVtfOoX11Tf0OE9J1ph543istj3z4sIj7Dz84dk8+ecv6D/89ww4vppLfvcw9ZV1JDhzKcifRHJSPgCypCdOGkUco3o8r0XOxfKDtx4OXcmZTpIznVRtXscMQz3Jx6ZQubKSTz6t54RzBgFw5PRCzLl2ck06Jtx1NHoNvpm7g5RMB79/4Dh2bmzkudsWcsI5g3AkmnFmO8nPSWbGh1PYNWAG1VQjqXrydTegbjuNtBwDY6cU4Eg4vKdACH1fnsVGnqXnnPkMk4VL8grYoXezc0UjSiAMbSFknUTqsDj+EldMRNIoMtrw+hXO70jGWh3i6RveIRJWuOKRqVx1dDLbV9fy7lULuPOV00jNdtJUu6fOxm/vOBqbw0DxiHS8HUGsDiMP/vssFs7agsmqZ9Ipxaz4YjubFlQx6ZQiMkrSKBqUjCz7eePJT6kudzF0fDa/uf0oUrPjyB+YfLBfOuEQIGma9uNHRYEkSVOBvwE64AVN0x74vmNHjRqlrVq16vt27zdV1Tgx6WFue/FXOBMtvL6rio+/shGvVjOq+BMkdeLucPYINKt4qoNgqsJs1ZD1dgz2AI6sGuYt/zVGv4Hj9uotBghpISrDZRRoiSTax4BsRQE+Tgbbog4sS31M00/luLsrSDo6nZXPXM+RVz1BSumYn32ewgGzX3coDlT7/F811bYz9+2yrnnA7UHGzjBiHPEirfInmMgiX/dnImonFv94OnZmk5Efj93Zu5rqvp+7g3ZXVw+s3xNCiaiUrajn9YeW4ky08Lt7JpNdkMj89zbhiDcxdmohTdUdvP+PlRQOTWXy6aUEgyrtmgm9UcfWLzaxaNZmTjx3MPlHl7J2WwA1HKEwRSPNpuLzBEnNieODZ1ajRhSOPLGAT15ey8STBuDzhmlr8pI3MJm4JCtP/HEuTbUdnDRzCOf9eTyuRi9rFlZidRoJBxVevf9rJpxcxOX3HYvO4uKF21fx+Svbus/NEW/m6S8vZMCwdBbM2swtZ77f49zzSpN5dtFF3cX4YlhMt8+DJaJo6HW9X4oOr0Lljg5C/jDtWDBbDAwvNGKz7OkVjkRUNq+sY8W8HfQfmEpjdTvuZi+FQ1K7hlbLEvkDUzAYdVRtaSEjNw6zzYjPE8JogX/cuBBPe4jzbilmyLEGgu4Edq5R+eyV9Qyb2I8v3i1j0OhMsgoSGD4pi9c+G42q7hk2eNnF7zB44NR9nldbi5egP0JShgNJF0Inmfd5XIz6xdum3xui7Js6VnyxA2eihdziJNYsriarKIX0QZloJjNppgBKOELYF8Fg1hMORnjpnsV8u6iKE88bzORfl2Aw6YmEFOL6dRIofBC3PAeLlkue7no0Tz9aNmWRW5h+yC2nJvwg8d75M7U0dLJ2cTWN1e30H5SKM9FM0Bdh+ZztKIrCynmVFAxOYfLppbxy32LiU21cfPNEGqrbycyLI6LAxqU1uBo9DJuUi8mkw9sRJD7Firc9yNqvq7DazUy/eBjOJAstDZ1IsoQsSVidRiw2E1Z7103SthYfHW4/SWl2bPt5jRPjRO/YLyQmk2JJknRAOXACUAusBM7VNG3Tvo4/UG9MO8qauO7kt7jj5VMBuHT9t5TPLuX0o/6BrOZjtfQcEqmFoXldBJ2pFr1RxWD0gz4ekJHkCHJSG+8vvZAZJZ+QHAr3+nk+1UNteCtFunzibCMBCEvwcRKYl3Rind/GNOuvOP4+UEwf0V6zlaNvfb3X8whRE/MfnJqmUb/DTTikkp7rxGBRCGqN6CQ7JunAL/PVXN8JmkZK1r7HYiqKiixLSJJEW4sXSZKIS7KiKCpBfwRZJ+Fu8mK1GQgGFDrb/JisBrLyE5AkqSspafKSluPEbDOgaWBzmPD7QgR9YeKTbbQ2duLrDJGS6cBs6zlMtqGqjVAgQnq/OEyWrqqT28rKWfTvHSx8r4r+Q5I4+5rRDBqd230+91zyISvn7QS6qhQ/9sm5jD6+/wF/7X4BMd8+D1VeT5Bd1e0oERWbw4SmaaiKhk4vEwmrOFJVjHYPiieJUEAiPsmK3tB1Q9XT7ufL97ew+KOtHDE5j8z8eNwtXo6dUUqzey1Ll/8Lf6CDieN+S0H+BEymPplsHdS2GYmotDZ2suTzbRSUJiPpZPR6iQ53CGeCGWeSmaQ0B5GIircjgBJWScuJQ5Kl7lEdAIFQJx3eOiTFRkJcZvfvVOhzxHvnL8Td7CUcVNAZJMKhAH5vEFXRk5oVh07fVaDyu4mroqjodDKhYAQ0kHUSddvdRCIqmf3jsVh7T4U5DIik+BcSq0nxOOAuTdOm7P76ZgBN04tE5AIAACAASURBVO7f1/EH6o3prSeWs2ZBJef+cSx1wU5u/aQMQ0Qm37ma1LSBPQ/WoG2LgqaFUNVKLM54UNygT+hxWGM4nhXVY7hq2kOoNdmEPT2r2XoUN/WRCvJNo0g2dV1oK8C8BOhY30nCR26Od5zEuBlWOkOXMvbaR0gdNO5nn6twQIgPzj7E5wliNBt6zA8GaG30sG3dLjxtAXJLkikYktpdnT7GifYZo4KBMNVbXbgaPRjMOgqHpuE8vIbeRqVttrX6qFi3i0hYITnTQb+iJIwmMYtM6EW8dwqx7JC4ADkUxeqnQRY9yo1QCxz5PcceMAs/2My4aYUomo+5Na9SWTmTcfmvkJjYe0Z+Z5WCElTRDDWYDDJIKki97xqnG9oojt/O05/fyJUz7iZNC9C2cwBBV1clabsugRw1i6rQWlqVerKMpdh0iZzollhXYmdNgszsN+fQNnsoA9VX+KrhLX71xghMcYfUUDlBiHlW+76HVSWl20lK7700kyD8VCazgQHD0mCYmFN+MMUnWRl1bH60wxAEQRBiUKwmxT9KkqTfAb8D6Nfvh5dA2B+VW1qo2trKubfnsLTjDl775FYGpC8mPTkLveE7F8sqdFYqBNs1ZGsDOlVDZ7J3jaXeR1IMUJy0HaMc4bE37+eEIZ9w3IT3kZDwNGbhb05DciXQ3xfGJRkp9y8lTBAjFqROiSKDmfLLhzB/1jpWhr5mcKiSzWfeRmbaMAqKR5JVnI89Q4cpQUZvk9BbJHQm0Jm6/pUOjR6tPudAt09BOJBE+xRilWibQiwT7VMQ+i4xfJquAlt/nP4vLFk7SJiygUfevg2rvYFJeVtxOPcssRBs0/BUqqBTkY2NoAUxSQrYkyDcCrIZpO+f39AecLCifhSqJnNM0XyGlXyNNaENo70TJaQj4reihBwoYT2KIqGqMpqqQwtFaJasbFmXiXeOHV0oQkp2A6akesyOTpL0OSQHBmNzDcbY2h/ZnYgW0qEqOnRGCYNdwuCUMCfJWNNl7Fkyjlzddx4yRqf8vXEL30sMsRJimWifQqwSbVOIZaJ9CrFM9Hb9QmK1p3glMECSpHygDjgHOO/nPKGmqWiEUfCj4CGktdLsrmD9hjLef8JPZVMy9C9i9YsXkJqzlaPSqjGpKfgaVcIejVCbApKGbOpAk1xIshGDEgJLIqhh0BSQfvjljDN3cnz+Amo7s1i07Rg+3ngK+fFVZDoaibc3YTXuwmjVozco6HUKsqygSRoRVU9E1ZOZp8N7WYjONhutjSWobSVE6mRCuyQUt4YjdQ2WrK8wDfSiN4WRwxpKpx7FbwR06CwaJpOGSZOQmvVorUbUlUYIy+gVDbOmYpFVjJqGHFFRwhKKYiKMg6BixR8yEozoCSsGFFVGUxRkNYRBH8FsUXDE67AmmnEmOLA5nMRbHDgMDmySEaOqh7BGOKIQkBQCBgWvRcNr0wjYJCIW0JllLAY9NoMOi06HTa/DrjPg0Otx6gw49Xrssh6zrOuqAa5JaJGul18JaShBDSUAkYCG4tdQQqCGNdh930fSg84odfWiW0BvktCZJXRGkI0Ssr7rGLHslSAIgiAIgiAcPmKypxhAkqSTgCfoWgPpJU3T/voDxzYDVfva938PmjNmXGvK3Hv7Jy9M56lZ9+77CVX1p4T8v5P7du/ssKUfYAz6ftL3bn06D++gH1/yRlbgyVMn/aSfsT98Wnvk2s4B675nd4umafteL+U7fqh9/kzJQMsv8LyHgsP53GH/zj/a7RP6/u9JnN9P80u2zVj+ncRqbLEaF0Qntl+qfcbq6xyrcUHsxhbNuParfQr/u5hNiqNFkqRVmqaNOlx/voghNn7+/jgUYvylHM7nDofO+R8qcf5U4vxiTyzHHKuxxWpcENux/a9i9VxiNS6I3dhiNS7h5+nbXZWCIAiCIAiCIAiC8ANEUiwIgiAIgiAIgiActkRS3Nvzh/nPBxFDLPz8/XEoxPhLOZzPHQ6d8z9U4vypxPnFnliOOVZji9W4ILZj+1/F6rnEalwQu7HFalzCzyDmFAuCIAiCIAiCIAiHLdFTLAiCIAiCIAiCIBy2RFIsCIIgCIIgCIIgHLZEUiwIgiAIgiAIgiActvpEUjx16lQNEA/xONiP/SLap3hE6bFfRPsUjyg89otom+IRpcd+Ee1TPKL0EH4hfSIpbmlpiXYIgvC9RPsUYplon0KsEm1TiGWifQpC39InkmJBEARBEARBEARB+ClEUrwfOtsCeNoC0Q5DEARBOET5vSHamr3RDuOw097qw9sZjHYYgiAIQozTRzuAWOZpD7Dmqyrqt7vxeUIUDE5lyLgcEtNs0Q5NEARBOASoqsbaxdW8cOdCCoelUTQiHaNJT8HgFPoPTkWSpGiH2Cc1VLWxYVkttdtcOBIt9B+YwtAJORiMumiHJgiCIMQgkRT/gLIVdXy7sIq3n/ime9uld07iwhsnYDSJl04QBEH4YeXfNnLNlNeZesEQtn7byHtPrQTAYNTx+OfnMXJyXnQD7IO8HQFevu9rPnrhWwAkCS67azIWu4GBo7OiHJ0gCIIQi8Tw6R9Qv6ON9/6+ApNZz4STBzB2agGvPrCE6q2t0Q5NEARBOARs39hEJKySmZfA+iU13dvT+sXx9cdbaXf7ohhd37T120Y+euFbbE4Tk04tZuQxebz1+HJ21XREOzRBEAQhRomk+EcMnZDDxbceRUtDJx0uP5fdPRmfmJ8kCPukhf2EXzwVtXx+tEMRhJhgtnaNKgoFI0BXr+Vvbp/E0AnZLPt8O8/duoAdZc3RDLHP6XD5Ofq0Ys68ajR1O9woEZXf3H4UJosY4SUIgiDsm/iE+AHFI9LwdgR5+qY9F/ibVtTz6CfnRDEqQYhd6rfvoG2ejeJrQy46LtrhCELUlYzMJKt/AmarAYDjzx7E0s+2sWV1AwBVW1tZvaCSp7+cSXKGI5qh9hl5pcnklSbz8n1fd29bv6SGJ2afH8WoBEEQhFgmeop/QMHQNFbM29Fr+4L3N0chGkGIfWrZp8gTr0KrX4cWFhXbhcNXu8vH0s8rmPPmBv781FSyChL44+Mnkj8wpTsh/q/qchfV5WJazoGSkGJj/ns9P6cVRWPj8rooRSQIgiDEOtFT/AM2rajDZDH02u5ItEQhGkGIbZqmoVUtQx42AzZ/htZcjpQ5NNphCcJBF4mozHpmFc/fsah72+jj8/jLm2dQU97K83f0/h5RFfnA0Rt12OOMvbZ7OwJsWlknim0JgiAIvYie4u/R2Rbg0atnM3JyLjrdniUzjCYdx581MIqRCUKMaq8FVQFHGlJ8NjRvi3ZEghAV9dvd/Over3tsWzmvkop1uygclsYpvx3eY9/E6QPIK0k+mCH2aTaHiUvvnNxjmyPejNVu4tOX10UnKEEQBCGmiZ7i7xEOKXS4Arzz5Aou/+ux1O90I8syo4/Pp3RUZrTDE4SYo9WtQ0oZ0LXuqiMDraUi2iEJQlSEQxHCIaXX9qA/gsVq5LK7JzPm+P5sWF5H8RHpjJiUiyNBjEA6kEYdl8fNz53Mxm/qsNqNxKfYeO2hJYw8Ji/aoQmCIAgxSCTF3yMx1cbZ14zhqRvn8/RN80lMsyEBUy8c0nXRLwhCD2rdOkjMA0Cyp6C5q6IbkCBESUZePOOnFbL08z03hpyJFnJ39wYnZzg47qxBHHfWoGiF2OeZzAYSUm0sn72dgC9MZ1tXjYNTfjMiypEJgiAIsUgkxT9gyvlD0Bt0vPfUSpIybFx659GUjBS9xIKwL1r9eqTU4q4v7CloO7/+4W8QhD7K6jBx7eMnkluSxJfvb6Z0dCYX3TyR7IKEaId2WDnimDyufuQEXv7rYlKzHVx8y1GMmJwb7bAEQRCEGCSS4h+QnOHg7GuOZOoFQzCa9VhsvQt3CILQRWvciFw6FejqKVbbRaVX4fCVMyCJqx46gZk3TsDiNGEyiY/bg83mMHHC2YMYO7UAAEecOcoRCYIgCLFKfErvB7PVQO12N23NPiSdRH5JMgmptmiHJQgxQwsHoK0G4nO6NlgSoLMpukEJQpTJskR8io1IRGXn5mY6XH6SMxz4PSH8vjDZBQkkpIjPkl9KwBemurwVVdUIBxVknUTOgEScYv62IAiCsBeRFP8Id7OXBe9vZv2yWua+uQFNg/6DU7jnzdPpPyg12uEJQkzQmrZAXDaSbvcSZpZ48LehqQqSLJaaEQ4/mqbh6Qii08nMfn09T/xxLuGQQkKqjYtunsAzt3xJTmECf3nzDPIHpkQ73D7HtcvDS/cuRlVUGqs7WLZ7fveIo3O5+fnp5BQmRjlCQRAEIZaIJZl+xKaV9bS7/Mx5oyshBtixsZlX7vua2m2t0Q1OEKJMU1Wat6xErVuPlNS/e7sk68DsBG9LFKMThOio2dbKM7d8yaVjX2LBrM08fOXn3dWo3U1e3n9qJSecM4iKDc28+dhywuHelaqFn2fjN3V89so6nAmW7oQY4NtFVXz26jpCoUgUoxMEQRBijUiKf0TtdheuRk+v7asXVvHZa+tpa/FGISpBiA2VX33Agjtn0Lx2HlJCv547rYlonbuiE5ggRElne4AHLv+U1x5aSnV5K7XbXL2Oqd3uJindAcA3c7bT6fYf7DD7vG1rG8nMT2DHpuZe+76Zs52dG3tvFwRBEA5fIin+EZl58SSm2XttHzgmk5Xzd1KzzR2FqAQhNtStmos1OZP6LWshuaDHPskSJ3qKhcNOXYWbNQv3LEdmshh6HZPeL677huoRk3NxxIsCUAda/8GpNFS1kVuc3Gtf0Yh0VszfGYWoBEEQhFglkuIfMXB0FlaHkaNOKerelp4bx/CJ/di4vA6jScyXFA5f7VVbyBx5Aq4WF1JyYc+dJieaV0wxEA4veqPMd5eyX/JpOWddPQZZ7tpodRg559oj+eKtMjJy47jg+vEYjKK8x4E2eGw2E6cXEQpEGDo+u3t7/0EpXb30/50PJQiCIAiIQls/KindzvRLhjNkfDZTzhtMZ1uAnWUtPHvbAk6aOZR+RUnRDlEQokIJBfC7G0nKzKEqrEOyxPc8wOwQPcXCYSdnQBJnXDGK959eBcDG5XUUDknln0svwdsRIjnTTtAf4eGPzianMJGULGeUI+6bUjIdXP/0NKq2tjLxVwNorGpnV20Hu6rbefdv3/D0gpnRDlEQBEGIISIp3g82p4mBo7NIznCwdnEVsk7ijpdPZdhROVjsYu1i4fDka23A7EzG6G9ERSLk82C0fmeqgckBoqdYOMyYzHouvvUojjg6l/VLaykans6ISf1Iz43/8W8WDih7nJlBY7IIhxQ2metoqGwjtySZpxfMpGh4erTDEwRBEGKISIr/B6nZTk48dwgnnjsk2qEIQtT5muswxSXDri1YbTY8riYSv5MUS2YnmkesVSwcfpLS7BxzxkCOOWNgtEMRAINRx7AJ/Rg2od+PHywIgiAclsSc4v3QXN9J1ZYWvJ3BaIciCDHD21qHOS4JrXETJkcCvra9eoVNDjRv78q7gnC48ftCVG1tYVdNe7RDOSw1VLVRXd5KMCCWYRIEQRD2TfQU/4BIWGHJZxU89PtPce3yMvKYXP781DSMZgOuRg+J6XYy88SQOOHwFHDtwmBxoDVWY0o4Gl/73kmxE3xi+LRweOhw+anb4cZo1pMzIBGjqevjtbq8ladunMfij8pxJlq49rETOWZGKeZ9VKUWDixvZ5C5b27k6Zvm4+sMMuOq0Zx04VAiEZX0nDiSMx3RDlEQBEGIEQc1KZYk6SVgOtCkadrgfeyfDHwI/HethFmapv3l4EXY0/YNTXzw7Boue/F8PBEZBwE2r2rgiWvn0OEO4Ewwc+erpzFuWiHSd8uNCsJhwO/ehUEKgz0Nkz0er6vnup+S2YHmE0uWCX1fxfYOyiojBIJGgpX1tL++jgv+NB57nIlX7vuaxR+VA12J818u/pDM/vFiKO9BsHllPQ9d8RkAhUPTcMSZ+eKTnWQcWczmthCl7R0MLhWFzgRBEISD31P8MvAU8OoPHLNY07TpByecH+bqiJB94VTOe7KdUBhS4mWevToPWdc16rzDHeD2c2fx8urLyClMjHK0gnBw+d1NxMlepPgsjDY7Hbtqex5gcqD5RVIs9G2bKoPc8aqf/yzxAzCqOJlbpqdS9k0dA4alMf+9Tb2+p3prq0iKD4Itaxq6/3/sjFJM/dL5rNzJx494ABhTYuRvVxoYXWqJVoiCIAhCjDioc4o1TfsKOGQmGXaYE7jlpa6EGKC5TeVP/+xg5kN7cnafJ0RFZSsbPe2s6XRT6fdGKVpBOLgCbc3ofc1IcZmYrA78HXslwCYHiJ5ioY9btC7YnRADrNoaYn6FHnezH7dBIae49w3T+BTrwQzxsJWYtWd4tCRBkymZj5ft+V2t2BLi7QW+aIQmCMLPpGga5b5ONnjacIWDbPS0s6yjlcaQ/8e/WRD2IRYLbY2TJGmdJEmfS5I0KJqB1Lm0XtsqGyMYU/bMIzaadOiSjMzc+g3j1n7JmG/n805TNSFVPZihCsJBF+xoRe+tQ3JmYrTtKym2Q7ATTfwtCH3Y8s29CzAuWh8kcXAqYyu+4rS/TsRg1HXvG3ZMLulDkw9miIelr9uaWZ+vUDCqa+mlrP4JrNga7nXcovVB3J3KwQ5PEISfwR0O8UjNVkaumceob+dz1ubl/Lu1jsnrFjJ57UJWdbioDHjxK6K4nrD/Yq3Q1hogV9M0jyRJJwH/AQbs60BJkn4H/A6gX78DOwzN1eShaksrGYlJJDplThhpwRtQmbvKT2q8DrWtAwCdXuZ39xzDvMfXcNmJmcwuMDE70sJFW1dSZHEwwpFwQOMSDh2/ZPuMFcFOFwZ2gSMdk6Qj6OlAU1UkuetemyTrwGCBYCdY4qIcrfBdh0P7PFhGFxt5Y17XCCGDHqaMsjDtSDMVzmYCTQp1Qwyc9vk0EqoiJOoNNO9o5+N/rOKEUwfi84ZJTLWSW5LcXZjrcHcg2uZWbwe/r1hDedjD5U8MZULtCAxWPaOKjby7yIfZKDFltAWjAXJS9MTZRE0QYf+I987YsLLTxR1VZd1fL25vIcNoZpDVSZmvgxt2rseu02ORdNyWWcKQBHE9Lvy4mOop1jStQ9M0z+7/fwYYJEna5y11TdOe1zRtlKZpo1JSUg5YDNXlrVx38ltcccyrhBpauP5sJ2vKg9S3KNx3aQLPXpdAa16A29/+NZffewwfvbCGL97YyKsXzeWc9VZGmJ1owM6AGEZ9OPul2mesUCNhlKAfvcUBehOyTo/eaCLo8/Q80OwEMa845vT19nkwTR5u5rgjzJT0M3DfbxNodCs8/n4nDd8m8UH8USQu8xLfDkpTkAdmfsx7T64kPc3JH6a8wbVT3+DiUS8w69lVBPy9ezEPRz+3bdbXt7PB006534NF1rHB6seUbOKdh5YzLC3MpSfZuHNmPJWNETbsCFOQqae+VfQUC/tHvHfGhvXeruXtSq0OxjmTMEgSi9qaGePomq6yrKOVobZ4/uOq58871rFs8U7xHiv8qJhKiiVJSpd2l3GWJGkMXfEd1DVdvvxgM1vXNJKW46QiGMfN/2xjW12ENdtCXP+sm1AY4vVGwr4wdTvcTD1/KJNPLwFg1qPf8HBnPqkGI2lG88EMWxAOqqDHjcFkRo5L795msjkJdLb1PNDkQPPvtU0QDnGe9gAV63dRW+FiUJ6RF69P4v5LE7jheTertoaoqItw2wvtbNxg4D+3LsE9r5H3H14OwNTzh/D6Q0sJ+Lou0FRV42/XfUHFul3RPKU+QVU1vq3YxbaghwtS+/Gn7CLssh5HXZjz/jyO2459lhNHWrj5BTfrtofYUh3myr+5mL1CzEEUhENJqcXBg/lDGGSNwyLruLVfKeek5HR3SI2wJ7DF1zWqc6GvlZVbGij7pi6aIQuHgIOaFEuS9BawDCiWJKlWkqTfSpJ0uSRJl+8+ZAawUZKkdcCTwDmapvWe2PsL0TSNb+ZsB2D61RN45QvfXvth0bcBFt+0HG9rgK8/Luf5OxdidRgpHZWBrJNZ8u4WXkscwWCbWOZB6LtCHW4Meh1Yk7q3Ga32XvOKJVFsS+hjKre0cMOp73DhiOe5cMTzfPDMKhItKss3Bdj70+rlOV6mX3MUiqp1r1owcEwm7ubexZ12lDX32ib8b1oaOilbUM3XbS30N9u5t3ozO/ydJJhMbF3TyJgT8vloWe8E+JU5XtZ+00AwIHqSBOFQkGQ0cmdVGe+31PJlWxN3VW0i12xjraeNFIOJ81L78ZmrsetYvRF/k5+1X1VFOWoh1h3s6tPnapqWoWmaQdO0bE3TXtQ07VlN057dvf8pTdMGaZo2TNO0sZqmLT2Y8UmSxKRTiwHwurwkOHq/PHE2mdrtbp6/fSHTLxkOwOzXNjBuaiFTzx/CF2+XofepxOmNBzN0QTiogh43ellDsu2Z3WC02nr3FBttIHqKhT4iGIzw0l++4tvF1QAEfGEevXo2Fet24bT1/rxIsMt4W70snLWFX10ynKIR6bS3+kn5TlVkAFmWaGvx0VjdflDOo68yWw2Uz6ni9/Zc/la3DYAbIrnce8lH6PQybc0+khy95w8nOmQ+/ucqKtY3HeyQBUH4CdZ62gnsVcTzH/Xb+aB0LLdkl3BnVRkKXXcp/yzlsuipdSRnOPb1VILQLaaGT8eCSacVM25aAbMe+5orp1uRv/MKJThkhmepNNV2EgzsqWinqhp5pcmsnL+DvNJkdKmmKEQuCAdPqNONnjDYvtNTbLHtowK1DS0gLvSFvsG9y8tXH27ttb2mwsXEwSaSnHs+MCQJ/nCajfcfXoS7yUv5ukYuu2cybzyylPP/NI6E3csymSx6rn74eOa/u5FwSMxt/TmcCRbOu24cNXNqkP+b+zYECfojzH9vExNOLuLoUhm7ZU9irNfBxceb+exfa6mrOGRWjBSEw5os9b65JUuw8skNNDy6hb8nDOIuqT+Pteax5g/LMRhlhk/KjUKkwqFElLvcS1Z+Arf8czpfvL0JY00lH9yWx4oKBasRBqcpPHfxa0DXBY/VYcRqN5JbksSi/2zF5wlx8SPHkp0o7kYJfVvI04ZeDSD1SIrt+Nv3uqg0WsXwaaHPsMeZKBiSyqaV9QDklCZx7IPj2FhsJEmq4e3bM/lmU4hOn8aRxQb8m7Yx4tg8Wus8JA5KYEVagLT+8bxw9yJOvmgYFrsRTdVIyXQw7qQBpPcT025+jvqdbl59cAknzxzGdfH9edC9nZREK5IE2zc0EfCG+XWcifduGcTKHSrBkMaIXPjk9lkAJKbbo3wGgiDsj7GORGyyDq+650bi5cYcZj3+Mb7OEOtnbef0y0dijzdx8Z8mUDwyg5zC3mvGC8J3iaR4H5IznAwcncm1097kjN+Pwr+1mZKjcrn/4vndc8Z+c/skZKPMzNsnUjoigw1La5h4ahFZI1LIMVujewKC8AsLdrSiV4Jg/s6a3VY7rpqKHsdJBpsotCX0GfY4M9c8eiLXTnuDcEjhuGeO4lrKURu69qcaynkkKZctc7cTJofaHa0UTcnFOSaJxPw4trvbuOimidxx9ge88+QKAIYf1Y+EdBs5BYkoioYhiud3qGup97B1TSNb1zQy/oJS3pk5DG9lJ2deNYZ3/76Cuh1unr5xHpffp3LUmFQ2La1HUeykZzvp/5vhFA5Li/YpCIKwH4ba4/li6NG801xDbdDHBYk5zP3D1/g6QwA01Xbw7G0LuP4f0zj+7EFRjlY4VIik+HsMm9iPfyyYSWNVOx//ay39j8vhzsXn0r7WjdcVwJlo4fFrZqMoGgkpVm7653Qs2VZSLKLqtND3BVtq0BtNIOu6txltDvwde1eftoklmYQ+ZeiEHP618lKa231cq9+G+p3V9zqVCPaRSYxPtvHhX5az5rPtaBr0G5RE0XNjGJyfSlN9C2ddPQZZltDpZaq2tvLMzV9yxu9H0b+smdJRmdE7uUNcQqoVs9VAwBcmO8PJW7ct5sgT+lO2oo7/u2cywYBCXJKZdpNKp6yx8J3NVG5sZsaVo/ntHZOITxI3tAXhUDHSkUCxxcEqj4tVHS7ybxxE1uhU/n3T190dWGk5cdENUjikiKT4e2xd08DrDy9lyqXDmPrRCTwg1dAaaeLMcZmcnZzPJsXLpdPPw9aiMv+O5dTXtvNMei2/avRxXXbRPuc7CEJfEXTVod9rRITJat/3kkyuyoMXmCAcBLnFydjDQVrXburelmk0c112ETdUbqAi4GHy7Rn8/v8G4Q1FaOunJzndgVGno3OSkw5XB0v+vo5QUMHd5CVnQCKuJi/NdZ2UjoriiR3isgsTufXFU3j82tkMPL2ADx5bwRkPHUXyzFxajApWWaYxHOaBxq34lF1c+MIISv7jZtZDq5h6wRDik0VSLAiHkvdbavm/bau7vy6daOes28fx8V+WMf2S4ZSOyohidMKhRiTF+7CjrInVC3dgcxpo66fnpqY9Q0Lf6qxDZ9GxqtPNFn8nZ6fkMPaBkehW+lgX6mRt9SZOTc5kgEXMKxb6rlB7CxZLz/l3RoudkN+DqkSQdbvfWoyip1jom7w7PZylpvIAOwH4TXo+t+7cSFDrqoi6MODClwFZZjP/bq2EHZBttHB+Wj8+nBTk9pLj2PlZNRl58VjsBp6+cT4XXD+W+uYKNFUhNSkPg14UbfxfSJLE5NNLyBqfxkNN5Vzy8lS+yQ7yiauSMl8Hd+cO4o7asu7jXwjUcuPp+cS9aKFuu5tBY7KiGL0gCP+L2qCPm3du6LFtc9hD4UUj+efUEvJLk7E5xehNYf+J6tN7aXf5eOK6Ofz9+i/5/LWNrHH3vqD/1NXA5PgUAN5prqHdASlHp+NXFQKqSnCvMvGC0NeEvW3o90qKJVnGaOnZWyyZ7OAX1aeFvqd6ayvh12u5wZBHkYBd+gAAIABJREFUrsmKSZK7E+L/WuF1UWLdUzyrNuRHA3YGfVQ5wsx6djUv3L0Is8XAvR9MYUPtCzz6+Hgefmwsb836I80usa7m/0qvl7Emm5nla0SbEI9Rp2Ojr4Nsk4Vyf2ev4z+khZOuPoLVC3bS1uLdxzMKghCLQqpKe2Qfa4tbdQw+MlskxML/TPQU72Xb+lpWzqsEQImo2EMS7DUSup/JSkMo0P11UFXZoPeiQ+LmfsV4lAgfNNeSYTQzxBaHQy9Kpwh9S8jXiSEnvdd2k92Jr92NNX73+sVGuyi0JfRJ9gQzIU+YIbKVW9OLybBZyTNZqQz6uo+J0xnwqz2XWfIoESw6HUFd1yoGQX+E8nWNjCsJsmDWw93HrV71BikpRUw75tqDdk59RZbJwqUZ+dRpwe65he5ImCyjhYvScikw2/GpCmZZprbTx/gpqbx86yLMNmN0AxeEPqI+6Ofr9haWdbQy2pnAJGcK2bunXPmVCGXeDqqCPjKMZgbb4nD+hOvkbFPX3/NLu/6fvfMOr6La+vA7p9ec9N57Qgu9SFekgwqCYvcq1msviH5iw3LFXq4VewUVEAEB6b13QhJI7/Xk9DrfHweDMYiKFe+8z8OjZ8+ePXsm58zM2mut3yppa9PIZOTqJRV/idNDMop/hNNx4oUmKTuMPFUy/7WlYAyCBcpCFlrLuSIqmU/rywhVqNDJ5OhkckKcMj6zZFNoERlStqZtjPsTs7krPgudXLrUEv8c3C4XCn3H8gZqfRAOcyOQcbzBAFKdYol/CG6Xl/KCRhw2D8qkUDKuG0iJ00V5YxOflO7hjbQe3Fayl1ZfoI79A4k5PFdZ0La/QhDI0wfzjbyK4Cp/m8Fma3VTUrqtw/H275nP8AHXolbr/5Tz+6egEGRcp0+lrEZOdZOPz8LjqPFVE3PYz7JYPw/WBkKoBeDlpDzq1SKXzzgLxL923hISZzotDXZaHE4etR3lw/qyQGM1jAuN4e3MXgQplHxSV84NRbsACFEoeSG0H8p6HWF6GVpLI6s+3ktkXBCDJmSS0a394rvX46PyaDM+r5+Y1GDuTcwmQqnmg7pSMrVGZiXl0lkviWtJnB6SpfYj4tJMxKWZcDl8XPDCJUye3YLVISIIcP+l6WwYlcFady0hChXXREcyyBSOzevFtaCSY2ovD5vq2o03uyyfcaGx9DCGtGuvczvJt1vwin6ydUHEqrV/5mlKSPwmPB4PyqCwDu0qnQG7ufFEg9oAztY/cWYSEn8MrU0OPn52Cx88tZE751/Jc5+0svlgoPxHl/Rw7rzWwP+VH+LrrAHscpixiz6avC6mRSbyTk0JY0Oj6RcUzqLGKs4LiSXFYOCud1LweWQkJCaiCPZjNN2FXKFiz74FVNccIio+D6VSCgH8tezdVsM3R9Q89EETfj+Em2Q8e3kodYoq5lrK2/qJwMyKgzwb15mXLl3IWeMyuPahIYTHSJogEhK/lj0bynjq+m/oP7MHHyZUtNu2uKmafIeFUIWKO47tBQJe3fvpzY33OFHInZhtfq4ZJsdfYmXhm7v55LktvL7uSlI7RwLQXGfj0+e38tEzm/F5/Zx9YS43PDGch5M7cVNcOga5Ar3kgJL4DUjfnh+RkBrPvW/1w+yN5V9vtGJ1BJaOb5poBBE+/9pPVko0nSJE/lNxkDUt9bwS1Ik7Zq1lzKuDcZ4kn7jR62r3udhh48oj29hiaQIgRa3jy04DyJVWtyTOAPw+L36/iNwQ3mGbRh+ErbnhRINCAz4PoteNoJBCEyXOXA7vqOK9JzYQlxLMgWYdmw+eWOzZX+Tl4vJgbg7rzpKvZYSZwolN9XBt6zpmJORwU2waCkHgxuPeEYD3FUrmDu+BOf8bnMpmFn3xIH6/F0GQcfbQ21CrjfTuexWyH5Q9k/h5ygsbOWZW8uB7Zow6gbummLDY/eysFBnWM40Uail2n8gdNvs8aHwymmqtLHprN33OSeXsC3P/wjOQkDjzqDjaxF3jP8XW6qLvT9yyPH4/LV53W0rJJF0ye1bKuXOKlop6H5HBMposfjLHd2f3ikKsZhcHt1W2GcV71pfx/lMb28b7bt4h0rtGcuXMQUSppMVDid+OZBT/CIVCSbd+ndmwz01lQyAX8qpRBjYddLGr0N3Wb+alkQzpVsdaaz0NGidetw9nfivxqVoq3I62fnqZnGRN+9C3NS11bQYxBERX3qst5cmULghSKSeJvznu1iYUgoig6ehNURtNNJYWtn0WBAHURnC0gDHyz5ymhMTvSuWxgOhil7MS2FHYXtwlKkSOz6Zg5stWILAImhmv4NU7B/J0/W5ej+7GRZU72+3T7PWw0wdfmLoy09+A3x8IuRZFP6vWvsCEq75guyoMyTz7dVSXmWmwByKz7plq4pl5rbRYA4vVLy+Apx/M41428v3ydZbWiKbQ0RbKfnBrpWQUS0j8SiqPNWNrDdz76tfU0P2qIHa7TiwcZmmNpGsNIAR0ecpcdropQinWynnwnRO6I72yVAwYfSI1y+M+ocmwc3VJh+Ou+PQgF/67D3qjpNQv8duR1KdPgkqlQ+P1khoTWDNIjFS0M4gBnptn4V/ywIPzkMHFpDv6sOLZXTxgjidLHVDlTVTrmJfbnwaLg/Vrj/Lekxt46PKvCFraxE3KhHbjrWmpP6mXWULi74a7/igKuQBCx9uHxmDC3tLQvlFtkMoySZzxRCcFInl2rCrmrNz2ojBThup47ov2aQIFFV48VRpuORzKlg8O4xM7JqyKwGGnlXW6WMLDU9va/X4fha11bG1t7LCPxKkJCdeTEC0nzCSj3uxvM4gBfH74eqHIecHxAHTTBXF7XRTfztnBlTMHApDVo6OAoISExKkJCjmRArj6zX1cut/AvzTxZOuM3Bybxmc5/YhRa4lRafkkpy+52iD0opI3v7G2G2fHETceIeBqVqnlZPeKbduW3q3jwvq5N3VntauRmwp38WJFIfl2KV1L4vSRjOKfIMbo44UbgwMeAH/HlxmnW0QlyumiC2Kfw0zOJelccf9ANj+6kzv3hvCVLo+b1+ow1flp2dfMR7PWk7+zGplMxtsz1xD0RjWDVKFkaY08ktSJy6ISWWuup9rlOMlsJCT+PrjqilEoTh4fpTEGjGLxhwaA2ogolWWSOMPJ6RnLuH/l0VBlJUnewoQBJ14CM+IVtNo6Lmr6XPDVXetY99o+rpbFtttmlCuQH48M2uz2EhrduW2bUqHBrgtnSLAUXfFrScoOQwi28NR1wVjtHf8mNofIjfY4lsb15WFTFisf2MKOVSU0VFuZeE0eeYMS/4JZS0ic2STnhHPp3QMAEEX4aPpKRh9Ss6bzEJ5O7UbODxShexlDWdltMJmqILRqgR8HSDpanQwcl8ENjw+nxX6i0kuv4alk/2DRKqtHNI3nmph0eDNv1RRzd/E+JhzYQIlDKq0mcXpI4dMnoexIAzMu/AK7xcXLL5yPKVmNSS/DfPyl58JBbqYNKsJfd4DHQ5NY5hTQyKP4/PmtZPWIYce8I/SoS0bnFqnYWE1EtJHBE7JY+sF+bK0uxlzRjZpSM+c7Q3Gkanig5ECb6OW5wZG8mdmLaEl4S+JviqexHIXy5OUTFCoNMrkCl82CxhB4CApqo+QpljjjCYnUk35fZ6ZMiqXK1sBto1SMS/YQHmvEKDZy+dl65i4/saj5r5EuusSsw/ishfCILJQqJT3De/KRsxKdXEl3QzBPlucDMCooFHtzQKlVqw1m1AUvskoXwVRTx7x9iVOjUitIiDXwrH0PtwzsydxlAU9USrTAA1MqCFPvxtmqIFyWx/alTi5+cCCzJ33J7rWlvPTdpUQlSNoeEhK/Fq1exeUzzqL/6DTqKizEpgST0S0KrfrkWiJyexMG1w5euuIwfkUWK/Zn8eEqDcEGGakR0Bit54U7VzB4Sg4DBgeiaOLTQnh60UUcO1iPx+0jtFcYA4vWtxu31OVgn81MslZS7Jf49UhG8UnYuKSQsiOBsLX/XjuPa98+l09mpfP85xbkgocJXT5m5bLn2vpnZo9CM/AxrGYX21Yc45Y5I3hlxndtuRAxySbOvagzRftqAfhozmYuu2cA/Y1hXFC1t10ViOUtdey1mSWjWOJvi7u5GoXyp0WztEEh2Jpq24xi1HrJUyzxj+ADawUrdHWgg69cwfhKq3ji2sBL2YS7hnL7+HS+2OrlvLOgR8RrfDZvbtu+Wd2nsLnTJVwYlYpaJuO+kgO0eD3004eQc0iG2vgACZf6KZQpsUVnMzMkEo2kpHpaZBuCuDw2iTprHW9M1/Dadz7+b2oBq5ZPxn9c5EenDWHUWXMR/Epy+8QSHmPE7vD8zMgSEhI/hTFYQ48hyafsU+VysKupgorVT3J4z/y29oFdryHyvFvJ1rl4YvInjL8qj+Sc8A5ZWuExxjZ1+GKnFfdJ0g49opSKKHF6SOHTJ+HIrhpy+8Ry/WPDuOGlERhjDfzbvZaMy+q4+6o6tm17sV3/gvxlVLuOMv7WXvQcnszqLw+3EweoLjEjiqDWnHjBWbeogOBIPdVuJz+m2evu0CYh8XfB1VKHQvXTohaaoBCsTT8oTabSS55iiTOe1mYHN9RF8GRVPA8IyehDNHz24onawovmrKHw+Xm8P13G1J4lbN8xt93+R3Z/ziDRztWFO8h3WLg4IoF5Id3p/99WXrlgMQtfPIbDmIbcGEMXvUkyiH8DMkFgeFAEWQ4Fsf4Gnptsp7zo5TaDGMDuaKa6fjOCTk63gYkMuyCbqkLpPiUh8UfhFf28VFlEVV1BO4MY4MD+txkcuZ83r/0Uu8VNVUkzl90zgKHjsygvbDrpeAlqHTfHprdrC5Ir6PSDUG0JiV+D9NQ9CedMyWXr8mO89sBqAOQKGXe/M5KHU8vI0sraPVi/J0om4r8ynR6DE3n1lhUdtlvNTkZf3hWtXsX274oxhmgIC9YyMSyWBY1Vbf1kQKZWqpEo8ffF01qP4hSRDBqjCWtD7YkGlT6gPi0hcYbSWGvlhduXs+KzgwAYTGr6fjYRp639AmZtmZlDqwoxxlWedBzB68Qrijj8fp4sz+e1hDw2vHeA3CEJ5L3clwdqD2P2eqj3uLg9PoNEjRQCeLpU7qrnwXGfYWt1MXRyCsF9azr0cXmbcbi9fPLsFm54fDhdk0x8+9F+Yr4P/dRLZeQkJH4vypx2Xq4q4hltR0+uKIq0Ngciys6ekovL7uHRqxYBoA9S89ySaXTpH99uH4Ug4+a4NBLUWt6rLaW7PpjrY1PJ1klGscTpIXmKT4IxVMv8V3e0ffZ5/cy7ZTWX+6PZJmiJS+jVvr8hAqVSS8maWxHDdzL26q4dxuw2KJHd68r46vWdpOSGM/2RIQQZNDya3JkLwuIQgAS1li9yB9DVIOU0Sfx9cVtbkGt0P7ldawzB0lDd9llQGxBtkoquxJlL/s7qNoMYwGp2Mf+RTUy7s1+7fmqNAp1RRe1RNZHhme22hYQmU6QOlApSywKP3g2OJnqPSGXY0325q/EQDR43HlHk1eqjvFtb0l6wTuIXYzU7+e/dK9tKxGxfXkV67EUd+oXp+6ALCdQ3VarktNTbeOuRdVw36F2+eXcvPp8Uhikh8XshICAXBIrVoQQHtxe0iwzPomx/4L6Y1jmSDYtPlHa0tbp4/s7l1Dd1FNCKU+u4MS6dz4PyOG+HigOvH2bdwiMc3FZJa7MkXCvx65A8xSfB0twxpLm12cnZjkjuUbUwaMQseleYqS+1YwoLIrpzPHsNRrIvfJ3Z5UfoOlTDuLt6891/92AI1nDVw4OZ//I2SvMDpWpWfHoQtU5B577xZOqMvJPVi9nuzhjkCiKlAuQSf3PcdivqkKSf3K4NCqG2cP+JBrUR0dbwk/0lJP5OiKLIkV017FpbAkCPIUk0VFo69CvYXcP0OWdTdKyJ7QsLScgJY/oz5+DsrCO6qROuunTktj3YG7QoVUFoc+M4v6WIaZGJrDcHfg9ZeiOqrBAKNC6wtx//vZpSbohNJ0Ip1d/8tVjNLgp2nfAM21pd7FkSzdjLnqTw2HekRExB5kkkJDyaNflG7lt+I57CYtYuLGDCv/J49b5VvHzPSnqfk0JSliR2JiHxSwncP6vZtbYUU4SO6HgTPp+f2JRgklJDuCc+iyfK83npvOex7XyfmpLNpGQMo0eXa3nlhv3IFTIEmdBh3IJd1XxVUspgTXwHT3BVSQv3TvwMp81DcISOo/vruGbWEBa+uYvrHh1GWLThzzp9iTMcySg+CdFJJuQKGT7viVXi6EQTX++WMXtYP1QNtTw1bRvmxsAq1PDrPaiuS+JDzGyyNLGJJjIm6Tnv/BGcHx5O8eoC9m+uJKtHBNOe64c1OYhGQeQ7Sz3ZOgNJGgOpWulHK3Fm4HY50J8iPElrCsXaVIcoigiCEKhTXHfkT5yhhMTpc2h7FTcOfQ+3K5Amo1LLeeyzSR369RmZxgPyY7juCufs29M5Jnfwb+EoZ7WEc8Rp4WZXOosfFcnfWgBAel45C+eeyxx3Oata6khR6+hlCOGDnZvIPD+qw/jpWj062clLn0mcmpAIHX1Hp7NxUUFb28qPSul+9WSC3Xk8ftF3+HxHUGsUXPr0BO5ZbuKFa1JZc/dKeg1PBsDl9GIzu/6iM5CQODM5uLWSm4a/T5cBCcSnh/DYmydCoOcsuoiJ3WM5R6uhWoT0sU9SUV3AW04Xe5vLGPdMBjO0Q1FUdvzd5Y1KYb6vjm+LW/gwuy9a+Yl749G9NYy5vBuVx5ppqLIwZGI2JUcaUGsU5O+s4qyxmR3Gk5A4GVL49ElIzArn3tfGYjAFVuijEoIY/+AY3l7jo6zUyYf3rm0ziAFWvbaXvAoFa831bW2FLhtPe0o4oHHi87fyyPwB3DyvL88Zm7m4eDc3H9vDpEOb2NlSxxFzbYc5fI/b46C+4Rhmc8d8KAmJvwK3y4PCEPyT27/PN3bbA6VQkEoySZxBLHlvb5tBDOB2+Sg+UM/1jw9DpQ68iGXmRTPy1h6sdjSyydnME55iPnPWUOCwMsgUzvjwGJoPlJG/taJtnKI9tRz86hjXR6fydUIKz6rdFJdt4+yXexJy1E2GUo8AnGUIZrIpnBmR8bgtP/1skPhp1Folkx8cQFr3wGKDSi1n8uyBWEUfr9y+Ep8vEJbucnqZ9+ASLsjzc7hGIDrZxMEtgXzwhIxQYlN/+j4nISHRkUVv78bt8tFzWDIL39zd1m5rdfH49K8Rq2p4sa6CKQW7WGVp5tmmBnbaLVwYHk+3qDB2Guw4s7VM/8/wtvttWvcocu7szFpnI980VVPzI4FauUrBR3M2s+it3WxaUsQbs9YQHm0gKj6I2orWP/P0Jc5wTstTLAiCAPQB4o43VQLbxH9IApRCIUPQKJn4/CVYmx1UuzTc/oUPu1MkWOUlf1tVh31c1U6SwnWUutrHwJn8KrIGR2G2FtOoSSbTC1YRtlma8IgiD5UX8IzcRljGEMKN7cO06uqPsnjZw+w7sAiDPoJJE5+mS6cxKBSS+IfEX4PosuLxCyhPIQYnCAI6UyjWxhrUeiOC2ojffnL1SAmJvxuNNda2/+83Mo0u/eNRahUkjU3gvkHRaFv9GONDaYjxwqH2+xrkCg7aW9lkbqDPpnp+zP6VpQy8KZPP3jkfx3Hxuay8KaQn38C9R8LJ6qPm6KGFxEZlIViOcESpRSkPobUsEblMTZcB8YRESOJbP4fP58efrEX13y6c39ITjwbeUdVzdYmVH7+ltDY7Mclc+PxGrv6/wZTlNzDjtTHogjS8/9QmEjJC6TUshYSM0L/mZCQkziC+v3+6nd4O28oLmnBajDg0jQgEvHJ6mZwHE3PQyBV8UFvKDmtgAf3FKXnMGH4R+xuaORzs4i5nEQDpGgPGHynzu+xuhl6QTX2lhW3Lj+LziSx6azdTb+1LQnrYH3q+Ev8sfrVRLAjCucCrQCEBYxggHkgXBOFGURSX/47z+0so2FODq8WOLiGO2973AIEft0wG8TEaug1NRBevJ+/aHNSxOpxuL7EqHQ9pI5heuAPP8afuBcFxmFfU4+7TjCO2Jy/WV7LT2sJZQeE8ltyZWSUHOeqyU++ppLxqP+FZw9rm4PW6+Pa7p9i7fyEAFmsd7350BbfftJLkpN5/+jWRkADAUotHlKNQ/7TQFoA2KBRLQw1hiRmgCQK75CmWODMYf3V31i44wrBJOfj9Ioe3VzHyki5UrGskZHg0O6LNJGictLpdPJnSGZNChQzQyRRoZXIO2Vo4YG/lkmEJrP+yfdpA5pgk1totpOZN5eDm19HpQsiMycVmW4RCa8bekEl8bGe+WHBXm8jWgL5XkRA2jkUvN3NoRyXXPDgEhVIKqz4Ve4pcEAlnJ8aiSBJo8Xqwl9eSmhTaITUqNEqPOlRHl1QlzdvtbF1+jLzBiXzw1Ka2PknZYTy/9BKiEyURTAmJUzHl5t6Mmt0fMVrNdVcnYrILLLttA/tWlZLWLYriBjUX6HIZmxJLtErFrKROvFZ9lDKXnTGhMdwXEsUT5fncW7afZ1O7slZhZ2VLoMSjSpDxn4QuhP+gJGRVcQt7N5SzcXEhMckm/j1nBB88tQmn3UNKpwgy8qIo2l9Lc52dqIQgEjJCA2ldEhIn4XQ8xS8A54iiWPLDRkEQUoAlQM7vMK+/lA1fF6DRKUgSmpl7TzjvLLVi0AlMH6Fm4ZPLueSF4awQmtiocDC3/DAAoQoV72X15ouc/tS4XNgbFIT4tJh6qNh4JJP4VC+F7lKavR4WN1VT4rQxNTIBu9NC5YbXiTO0X81qtdSya88XHeZWW18gGcUSfxmitQ6PHxTqUwvCaYwmrI3HaxVrgsDRciLHWELib0z3wYk89MF5NNZYef3+Vdw/dyK795sxjk3l3zVbaPF6uC8hmyilmiKHjbdqDgAQpVRzT0IW8Ro9YQoVrb0NDDovm/UL8gHoOSIFyxATT5Yd4pHul5PrNJMalcm33z2N231CVXXi2MeQyZT4fIFyT5u2vsMlkweT0TWKdx9fz7mXdCE1O+LPvzBnCPXNXkr1LVx3eButPi8CcENsGm9k9GB9Yx03vjmKN29agdPuwRSmZfIbw4ns5kObf4znH9/AzLfGc2hbJf96cDAel4/PXthKaX4jRftqJaNYQuIUHHNYcfUxcczRyv1F27D4vMiA+17tgXGWln4X9uOWN61cfq6Rc7VRqONs3Fe8BR+BBcBFjVWIokhfYyhbLU0oZXKCFUpmJeUSJFOQqzCQbFe2Hc/j9vLu4+v5eu4eIOClLthdwxX3DcQjB/WAEFZ+dpDnb/sWn09Eo1Py+OeT6T86/WTTl5A4LaNYAVScpL0SUJ6k/YzD0uzE7VSw+J6l3PTiCJ69LojD35bw8c27yMyLpjlCQO1QMre0kNuCg+nmqENwNWCu2ktUTBdC/Vredh9mh6OJvoYwpiZlsXWrksXJQ/BrRMxmDxUtDlSd/NibVrCpdAsjR/5fuzmoVHrCQpOobzjarl2vk0K4JP46/C3V+P0gV546hF8TFIL1eFkmQaEGQQC3HdRS6KfE3xudUU1un1g2LSvi/Bt68e3H+wgbO5gibRMtFg8QCJM2KpS8VVNMP52eq+UeVK0VaGuctISkcGt8OhqHknGXj+Siq/vjsfuxbtQRb9PRrzqRJoUT3aDbcR+c384gBti970uyMoZyKP9E0JXLZcPvC8Xr8dPskMSfTkWVy8nMqj10V6u5VCagtFThb/bhViuJ1xuwniNy8/pJCI1eZFEq9htd1Lrq6ed2ctNTZ/PgtC+xHhfYCos2cMV9A3lj1pqThoNKSEgEqHe7eLj0EONDY5hTUUCIXMGTRg16cxk07ibz6R683lrH9Y8ZcB1WUd+qoinY0mYQf883TdXcnZCFTxTZY22muyGEJI2OJ0vzOeywMC4kmkfsKrJ1QdSWt7Lkvb3t9ne7fOgjtXzd1YX9YDXzblnWljLhtHt45MqFvLP9GmmBS+KknI5RPBfYLgjCp0D58bYE4CLg7d9rYn8lZ43LYNmH+xh3VR6NrU7e/b/1HNoaiBT3ef1keZw4/X5uDg4mYsMzaOO7oVYbkLvNhChV3GLxcNgRKOGxydpAicrKhcE9qY4T2G5voDnSxQB1MKm1Imv2L2H8uCdIUPakco0br8pPfaKdYyo7Y8c/yfvvXYzfH3gYZ6QNIT4u7y+7LhISroZSFAr5z3p8tcZgagv2nWjQmMDeKBnFEmcE0YkmQlJNNFVZCQrVUdQkx6TzgCWQBxemVFHndhGv0nKjrZhNi2cQFBRN/z6Xk2irITq+FwoxEatQhEzpJTwpFHm5hpJ3PLhqFfiOacl9JwxX7ATg6XbH9npcKBQnwgPlchVybyy2Vhe9J6TjiZU0JU6FQ+ZBQORK8xG2LpsFgEqpY9y4x8gyRFLoE4iLyuKAroXHmhrxWEXeTO/OpkXb8Hsa2gxiCHiemmqtxKWFkNop8q86JQmJvz35jlbsfh9O0YfZ6+Z1g5J1H00DYEDfK2ly1HNReBafiRo2xvnor+9DubljGkiMSkuYQs3E8FhmlRxkZmIO1xbsxOEPiB8ubK6mucjDp9n9UKrl6E0aBAG69I+nrtJCwe4aGkwi87y19KiL66Ah0NJgp7neJhnFEiflVxvFoig+IQjCAmAi0P94cyVwiSiKh356zzOHsGg9I6Z2wq4QcdY5ufjWvjTW2ti1ppgLZhpp9trQyVSkO+qI7zSa1eteIa/LRLRaE+Wlm/ksbTAfGIw8U1+FH6hyO+nc28uVDTup8jjhuObQCxGRdModQ3LYGJaOtmOrDOQ5hY4W2HFrC7PkHj66filicylabTBxMV1wHQ2joMCBudBHVF8lMQOUKA2SiLjEn4O7qRKl6ucDQjRBIdhaflCbWBuCaGtECEn8A2cnIfH7oFQpiM0NpaignnMHdaLnE1DTAAAgAElEQVS2sQXlMTXO4DgqDV4+qC3lyqhkrtZr2Ll4NjptCMMH38w3387G43EgCAIjz7kXXUgwBmMkxc0bMQ6KIn1MNi2LMtg120vdAh+O5gRGjJzNir33tx174IBr2LTlXQCMhkjGnfsU9hYrqQMjsV4YQahR+xddlTODaI2G24L07Fr4JBAQ/hs76gFWrHgCv9/HsME301x/gK4hCXwXlcbzTni3tpzeeh2F26o7jNdYa+M/X00hOUeqVywhAeBy2ams3sfufQswBUWTmzUCryacK8NiSHbU85XWg89Sx7ln34VSrmHz9vdpaDwGQFpyP2IH3YPTVM8AoZovo3JZ7XLzVk0xIPJiWjfKnXbyXAY+t+YgHIDrQuN4RSxv0+tZZ27gm6ZqwjQqHnhnAnvWlrJjVQkxySYmXtuDXakCuECIViOTCfj9JyzjsGgDQZGn1kSR+N/ltNSnRVE8DBz+nefyt6GssIn83TW8P3sDAHKFjOsfG8aEG5JYuPhi+p//ErFRnUnRGjiwfz6dckZReGwDMVHZhAQn8MVXdxAdFMOn/a9nodtEr3I18r2V3BMRya5ED+97Aw/e51qtPOsVqCjbjr26T9vxm5aKDB4fzcuJhUyta2Rj3njCBTXFi11sndmKrdpP3DAlCo2AzyWSMv6n8ztbS7zYq/1oImSY0n7ewychcSrcTZUofiBy8VMoNTr8Xi9uhw2VVo+gDQJbw8/uJyHxZ1PutLOypZZVzXUMMkVwbmgUyRo9OQnhmPvZefKihdSVB8p6ZPeN5ZrXhnGd7SAyRPI0Gpa7LAwaMJ3v1ryAxxMo1SeKIt+u/A9XXfYhH306nVEjZnDg8BKqa56mc844erw6jYZFsVgrRTJsV9Cl01ZaLVV0yh5JQdF6UlMGMHjgdfi8sHnH61TXHiT5snn0CY8lQ6ppf0qSg7T0adRz6PjfIj11EPsPLcVirWfC2EdZteYFzhl2G3sPLKa27ggjOo+nOvUcYkclERMTxP7N7bPDhp6fLXmJJf7naa63UXiwjvpYGSvEWuwuB0NTh7Fp6QN8t+Z5ki98h6EqGdt2fkRp2XYS4ruTEJeHwRDeZhADVJZsoXfuYZrxsv6DKcTE9yB1xEN8nt2PUped5yuLSFLriJereOfmlVSXmIlOMfHYO0O4l4ACtVGuwOrzEipTsmNtCZ8/uxUIiOTuWFXCiEUjANge5uD610by9i0rcTm9BIVqmfT6MFpChLbSORISP+S0jOKfQhCEpaIojv49x/wrEETaDGIIhEx/8J9NPLmsN4aQRFpDU9hkbqCLMZrK6gMkJ/bGamvAaIxi194v6df7UrxeF/La/fw7bAA3TlrSNlbvSRlMvCOOhZ46LD4vpqZRuJWrCUqRYz56ojYmRQLBqUoqXHZsPh+yfC+rr7YgHhfNrFzlQRDAUu4jfpiqnbfYaxdpPuLFXOTDfMxH/lwn7lY/g181kjJBjUwuGcYSp4fLXIfyZ0S2IOCd0QaFYGuuR6XVg8aEKBnFEn8zLF4P9xbv44uGQHrM5w0VDGuI4OOcfphkCjZ+cKjNIAbI31pFw6Y6nj6/MzGil5VeGalpg9FqgrBY25dgSksZwIbNb3LBxKdotdQSHZVNbEwnNmx6i6qow4y65g1WTfVRv13OqFlzaGjeyVeL7sJiraN71/Mpr9jD+k1vAHDWkFsRgmLprPvpUmgSJ4gJSSYxoRdl5TuIisxk154vCAtNobrmEH17X8q+g0vIzhxOTHQuSoWauOI1JPWeztrvKrng+p58895eFEo5E6/pji7oHyGVIiFx2titbt54cA2h58Vza+1RlDKBsaExbFKYuHzSyzQdXU2Is4aqxiYOHlqGw2mmvuEY5RW7GXn2vajVRlwuS9t4tpr9xOpCOQBUV+wipmQDc0UVNr+P9a0NrAe+kFXy4XfnMafTR9QUm2n+soK0aXqOOm3cm5CNzeejtqaVr17e0W6utlYXqRUCDw7IoZ8xjBsdO7li6UiUZi+tYTJmCmWsFFL+3AsoccZwOiWZevzUJuAfkfDq8fg6tLU2OVAoQ8kcehcOpZ7LDQJ7nXYyM4bjF310yh7JgUNLGXzWtSxa8lBbHnCn7NGM/dd4vnk7sFK2/YtCpl6RwcIgmK5Io/xBBV0eGkBZk7/d8bRD4Na4DBSCQKnLRrSVNoP4eypWeeg7u32OpsfqZ/+rDnbODtRLlmug1wN6ds+xs2a6hdAcBSHZv+taiMT/EO7WJhTqoF/UV2M0YW+uJyQ2GdRGsHas2yoh8VdS6LC2GcTfs9pcT76jle6yIPZtLO+wz7FdNXS7IA55+XbyNMFoht+LumY/oSGJNDWXtfXTak3ExnRm89b3KCnbBoBSqWX86FksWHw/w7qUIfriMKUoqCjYTXnDHrKDnqXXeYkIehdFx1YzaPJ/cYalo9CFE1yo49gqNyXxLYSkK0npFYpGL93LT0Z0cDgDJzzNrjXPUFl1gLTUATS3VGC3NxETnUtm+mCWfPtYW//ePS8ms6WGjAv6sf2175h8Y298Pj8rPz9Eevfgkx7D4/ZScbQZ0S8SlxqCWisZzxL/TErzG9i1phTd1aFkCAauik7m68ZqJirhuwV3UnNcgV+jCWL0iBl89fVMAOobjuHxulApte2M4oykPqz4Zmbb5+Zja2mNG0hXQwjLm2sBcPh97MbCsOu7sez5nZRvquaeO4ajUyvZbzPzn4oj3K1IRqmW43G3f2f3yzmuXi2gUyh52F0MwYAProlOIU0jaZtInJzTeaJuB9YSMIJ/zMmfHscRBGEuMA6oE0Wx80m2CwRKPo0B7MCVoijuOo05/iaiEkzI5QI+34k8hJiUYDyGCEJDIlnSUEmGpYjylU9x9vA7cTlaaG6upFuXCew7sIR+vS+j1VLLofzlHMxfypDBY/nmBxJkGofIjNwsJruiqJxqwaNREXm2QOsBMGSJhAxWsiyxkidL89v2uTMykx4DY2necMIy1sfICOuiaOclbjrsazOIAXxO2PeSg/TJag697cTR4KPuQw9Nh7zEnKUiqp8CbZhU81Lil+G2t6IwxP6ivmqDCWtTwBAWNEZEySiW+J0w23zsLXKzYqeTvUddnD9Qz8g+WmLDft0jzfcDFZY8jYk0QctWnxm/X0QbpGL45ByO7q9rt0+vPom8X1/GAxodX71/IQlJfUlLHcSEMY/w5dczMOojSEvpT3jaEARbfZtBDODxONi5Zz45WSMQ/EpSJqrwe0RkchFdRg6G+Bg27HiJY+WryZ76DjfV1eKoKkegnIdCc1HZKpk3fTNyucCFN/Xl0hn9CYuSwqlPxkFVCIZzZtFkriJLqaDpm5mkJPUjNDiej+fdTGREOumpgzC3VrFz9+d0yZqMrCkEYdhAYhMUVJS0Mi49noQsT4exG6otvP/URr58dQd+v8jIS7pw3SNDiU465SuQhMQZid3qRq6Q4RH8XBKVSKnLTi9jCLLKLdTUHECtNtI5dxQKuYqSsh0kJ/WhpDRw3zMYwomKysJirUMQBHrmTaWmfCd2R3Pb+KHpwzAoAsbuD/EBIZ0Cv6neF2SyxdHMFH08qRo9byX1INwmY9Dc8cx/ZgsHtgQWN6OSTYTmBnNDbBTnH9zEnfGZjAiJoshhZXRoNGNDY9DIpcVEiZNzOt+Mw8B1oigW/niDIAgdl9Xb8y7wMvD+T2wfDWQc/9cX+O/x//6pNFS1ctNT5zD30XVYzS6iEk1Me3wcjiCBaflb+SAumWWfP8zggdezYNEMenQ7ny6dRqPRBGGzNbLvwNcEB8czceyjrF73Mn7BQnSSiaAQLXUVZpLSQhGrbDxzxwLyd1QhV8i47J4B6LJVfPnuPs6Ky0Cb3b5u8TN1BSy8M4rmDYG1CEEGfR/TE9mj/Z/QXv0jdzLgqPWjDpaRdaWGrQ/YaNgdWFU78IqT7vdq6XGPHplCCqmW+HlcdjuKyF8WwqkxBGFrCqz6og1BtNT+gTOT+F/B5fHz7TYHM99uoaQmEJGzZKuTWycZefKaUJTKX34vS9caGBkcxZjGII6+VEj5zkKum5ROdJiAS+NlwJgM8ndWs35RATKZwPgbehARraenTk1rdT4D+1/Dxi1zKS/dSkREBpdf/BZbdnzMzj3ziagrYOiAa9FognA6T4Rg1zccpVfff+EPj8HZJBI9QEZFRB6TGjeRo61l1sDr6FKWzV2NjW2KqyIwq+kQz/YJCNX5fCKfvriFzB5RDJuUg8fjo6bUjFanJC4t5H9WO6L0SCNHD9SiUMjJHRjKI5X5dDGEMrXqKHumvEpL3RGUSi0D+/8Li7WevQcWERaaxHnjZlNZ0sinjyylz3ldmF8QT15nE/fP9/N1346RMTtWlTDvpe1tn5d9uJ/snjFMveVPf12RkPjDiU8LwdLsYKLFiDtaQYXLwXZLE1nNxaQk9SUnewTbd36M1+umd4+LiI3pREnpNjrljCb/yCq0miBGnXMvOl0oKk8eu4rmnBg7ZQCtiQO4IjKZSYc2t7Wb5EpMcgXmfDN9z8+k99g0+oWoufLYTvIdVgBCFSoeVcTTdUgifcalY1b4yDsnhbzMaHzAnNRuvFhZSJJax6ykXHoHhaKWSU4giZ/mdIzihwhUpTgZ/z7VjqIorhMEIfkUXSYC74uiKAJbBEEIFgQhRhTFjpKQfyCWFhcRnRMY8NBFaPFQ61YRHmXhsNtPqsZApdeN22Nn1doXGNjvagSZnKbmSmrrV7Fl+wcAWG0NVNccZOTZ9xBu7ETvs1tpabBz4c29ifKqWfnfXeTvqAICOcvvPr6B6Y8MpTS/gdL8BjptjmfyfzKZ76ppm5ctsZYBb4QjeLTIY5toMW2g9SjExXYmMiIDAGOSLODD/4EMfVCqDHudn5hBSo6842x3rnufcxA7SEV0f6VkGEucEtHjwO31o9T90vDpYOqLj0c7aEOg7sgfODuJ/xUKyj3kl3vbDOLveWWBhenjjGQl/PKSRSFKFbOUqTww9RNaGgIRNqWzG8iMD+X9detY+elBHl0/jbEz+7LF3kS9SeS9u7dw2cejKLE2Ul26jZFn341f9GM0RLLk29kcKwm82NmK1vBZ5R4G9r+GlaufbTtm584T+FafyCiPn9jBamzNXppD3FyjTGF+QwVX1pTwZc54agt3d5ivzdD+Hr1pSSHRySaO7MtHVNYjQ0vYnjQGjMpBZ/h5Qbx/Ekd2VfPvER9iaQk843oMS+Lfn57DNmszz6R1o1x0UbhnPmf1u5rGplL27l8IgM3WSFX1Qa66eD6xqTLqC2u56vxwNrQY0KoFnpnnpH9nP2rVideeTd908Amw4tODTLqhFwql9NIt8c8iKsHEnK8vYsG7e8i5vytfNwbeXTWx3Uk0RvH10lltfZevmsP5E55k6qQXqajYw8YtbwGw/+A3ZKWfi7cohawe99L76ttoFbw06iLZ4HJR19rEq+k9WNpcQ7hSRabGSLpci3NiKtFhQdzd+z06nxXP9Ae6cheF+IEmr5tVsXYUK4u5+pnhlKTLOCsiDq0ikMpwc1w6F0UkoBRk0OqhYGsVMrmMxMwwjME/r40i8b/H6ZRkmn+KbQt+23SI40TtY4CK421/qlGcnBNBaYOXp5eK9MzQMbaHDEOKAcHvZaApnMcbKnlk+L1sXnwvK9c8B8AV094l2BRNdsbwwMSr9rJ2w2toNSG8/1AJyVnRhEUb2L2uFK/PR+mWjqdkaXai1ihwOb0cXF/BJHNX5h//3QYrlNjLV/PGzv9j/OiHaWmtYsO3byKKfoKD4rjumvnERucSkqNgyH+NbLzDgtcO+lgZA+YY0MfJaTrg7XBMvxuq1ntQGgQiuks5URKnwFKLCw06zS8rCaMxBGNvPh4+rZM8xRK/D6128aTtothuLbANt8ePSnnyddwyp50teytpabAjCCCTCcSkhHBgayUrPjnIBbPP4hFNGcNCInmivJgsr5EZT/bjcEE9stjuNKx/kWUrn0Kl1DFtyqtkpg+mU/a5BIck0NRURlhYEkHGaLbu+AirtY6c3HHU5ZzPYquds9fJaQp1smxQBW8cPUaIQsWtcRksbqym2e9nSVIaW0QVm1ubWNkS+O0YzO3PML1bFFZnIYdbbqfFXIkgCHRXX0NJ4XXkds/4Tdf5TMLn8zP/le1tBjHArtWl3FgiEhIbTrXCS72oJD7rXGrri8jJPIfcrBGYguOQCXJWrJpDY0M5pjATyz8+wKp5h7j3s0v4LzKO1fiprrKTnHwiTD2nTywrPjvYbg55AxMlg1jiH0t613Cue7gn9bZGXtH68aiDqNAEo6rayegR9+Hze5HLFJhba9i15wuGjHuC7YtmtO0vCDK651zFf57I55NnWrl37liEkZFstTVgkiuRywTerylhWlQioRaBSLuKnQf1bD+kZloPD92HJLF5aRFOt5cxT6Wx2BlIaykUHFx8ThJH61t4WFnNqNCYNqMYIFylpqywkUevXNgWYj1oQiZ3PD9SSneQ6MBpB9YLgnDHSZrNwE5RFPec/pR+8fGnA9MBEhN/39qnJfn1OF1+Xr89i09W2ejfT86GyhbSDAZ2qr0EK5S8p0/hsovexlW+k76dRrNs6cOUlgdU8BLiujPynHsYdc4M1Mowzr04jZfvXklLg53EzDA69Y1j4nXdeXXG6nbHNZjUuJze4+cHQeqAxyNbo2OmTsHuZc8A4Bd9rN/4OgDp3SYj73Yxt9U3kGs9yBhZLCmd9Zy3OhiPFfTxMrRhMg687sBZ70cTJuBsPPFilXCuippNHoJSZJJR/DvyR34//ypESy1uUY5S/ctq/GmMJuzmJkRRBG2wlFP8N+JM/n6mRCsQRZH4CDkV9ScEVq4ebcDh9OPy+FErZRwpd/PRShvLdziYOEDHlGF60mLb3+PKXXZQy7j6gUFAICw5vUskL961AplMQDM8ki3WI1wYFscrtjSqPiynRFZEv3vzuLj6GLOnvoOqahdZkRns3vcl0ZHZBIckMH/BXTgcLQiCwMB+1zD5vDnIvbFU+/TMdtfwRkQvtDoV8/uW8FJdoMxIjcfJQ6WHeCy5M7b6fPZ/M4OhQ2/DGNGV0andUPsEdjx8oipCZl40uX3D2XDgLlrMgZc9URTZdfBNstKHEchCOvM4ne+m1+OjYG/HRbdmmZdQvYb8RguFOBiU2B9n/tcsWDwTUfSjVhuZMOZheve8mCB9Er2GB9NvZCobFhdSuPEYGmUGUwaqcLRagBNG8VljMlg8dw/HDgbuadGJJsZc0fW3n7zE354z+d55ulRVHWDtpjeIj+3KN8seweE0IwgCfYfdSXbm2bz7/mUAdO0ynvjYbqSkDqTEH6jVbm6twufzkJIwlBenlzHq0q4U59dTuq8Bb5OFlQMdlLodOP2B1L9MrxbHjftIHxJPn+v70F3nQHQ4uOCGnmR1j+Ldxzcy0dGVxQKcowjjqqMhbM/PBw+8cF4GYcqOkULLPz7QZhADrF9UwKDxmYy/uvufcwElzhh+S7Z5r+P/vj7+eRywD7heEIR5oij+5zTGrAQSfvA5/nhbB0RRfAN4A6BXr14ndx2cJusWHmHo7edw6eONRAbLqZV7qBRcbL90E5d+MYZh8RFcU7iDYqWWlzPPpqxkS5tBDFBeuZujxzYSFpZC8XYdBTuKGTA2nSXv7aOsoJFPn9/KjI8nEhyuawvZGzAmnYqjJ4QHxl+VxyBjKBvDu2Ou3caSj27B63UB4HEH6i8Gm+Jo7n45sxsDpW4WttTzlrKY1w/0JbpeR9d/a1EaZDTne9n+kA2ZEga9aOTYAhctR3zEDlKi0Avsf8lB5+t/mfdP4pfxR34//zIsNbj9MhS/0FMsV6qQK1W4rGbUujCw1iGK4v9svuPfiTP5+xkbrmDiAB3RoXJ2FboprPAwpq+OkhoPfW6s4eMHIhjcRc3Fj9Wz72hAJGnHETff7XYyb1YEIcYT3rwIpYrUaBMvvram7V7cd2QqSTnhWFqc1OEGILHQz1PjF6PRK5n+yFC+vms90+5J5abmcnpH9uY5zBj0EaSlDmTeV7fjcLQAASN1/eY3MQZFoZU7UNKTWbm5GJZo8HfxYdN5mBmUDcDXjdXst5lx+tw4jnxLc0s5Xy24k6kXz2VaYx2PxOcyZGwmF1zUB1etDGOqjPraSsqrtnS4Rg5PTYe2M4XT+W6qNUrGXZXHs7uXtbWNvKk71qAqTNYENDUeYnwiYTGNfPgD1WmXy8LyVXPonDOK2Bgn6xdryOmRSkOVldz+iUxL12P3irT6tLhdXlTqwCtTYmYYzy+bRvHBBnw+Pym5EUQnmn7PyyDxN+VMvneeDmZzDW9/cClpKWexet3LOJwBMSxRFNmyag45l77PmJH/h0Khwut1crR4MzKZnC49pvLR0lnodCHIZUpkrX0p2ldP0b56Zn8+mUeuWIDoF5mxYALbIh0cwMYQWxDez2tYvquWblMzqfI28e558/B6/GT3jOHiO/oxaHwmZpWfMFHJhfu1PHPDora5Gt7eQ6e1V5DZJaqtze3ysvEk6Q47V5dIRrFEB36LURwP9BBF0QogCMIs4BtgMLATOB2jeBFwsyAInxIQ2DL/2fnEAMPOz2ZvqZ+XL/RQd+AoBjGDj6nhgVvzeCTrPfqNTuetO7sRG9xI/dFvqaza32GM8qq9JCX2YveaBtZ9Vcxtz55L7EMhIEJJfgNbzY3ct+pC7KvtKEL9tLTYaKy2MurSLuQNSEZzIJoNQ+VEDlKQc1cfpnVehUVexJayZwgNDaxOpve5kjtaWtodt97jojrLRtWdkHCOisjeMnxuP7GDlVRv9LDhdiv9ntQjU7gpW+7GVuEnrKucsG6SGp/EqRFba3F7RZSaX+YpBtAag7E116MxZoBCA/Ym0If9/I4SEqcgL0NNWpyCHhkqFm1y8NQnLTRbA++nt7zUyPszwtsM4u9Zs8dJUaWH3tkBo7jkcD3715RQVtDExXf0Y93CIxzcWsm25ce4/+3xHNxSQWSzwANZOeyaXYDfLzL60q58+J9NNFRb6Wr3MGd6Dj2i9ezZ+AYZqYOpqy+gvuFoh/l6PU4Ol35BRkQ3NhZW0istHp1BxvbWZsZo5AySi5yrdlMnihjxoE7ozqEdAT3K4sJVZGZPQeYBRy3Uvx5JeD/4bNk3GCNEkkf052jxunbHi4hI+iMu+9+aIedlUVPSwryXt6NSy5lwYzBb1zxNWP//Y4fKi+vxQpIucXXYz2yuQq8LpaBwNVPvuYXCLTLqKi3oNDIuyKzivk+16L0qVry0lotv709al0gAImKDiIj9ZfoKEhJnKvUNRTQ0FtOj2yQam4o7bK+tL6C65hC7934JQLfOE/B4nWzb+AZZGcMoKFpDv+7/RuNO5sqZUajUCuQyAZcjEBX58piveGLBFLzP57NmRxV2i5vQGANiHxMt1Va8noAHOX9nNavmH2bizT05nCjjgyPBvPT4N+3mYjW7yN9Z1c4oVqkVDBiTTv7O9qZEj6HJv+dlkviH8FssoUjgh08YDxAliqJDEISOTx5AEIRPgKFAuCAIFcAsQAkgiuJrwBIC5ZiKCJRkuuo3zO+06TQgFPe2Jp6+IZA+bYqQMXRMGO/lWrh00Vh8x2x4qp145UU0NZeRkTaIgqI17cZIiOuGXKknY3ICu1ZVsXNNCVXHWjh6oI4ew5LoZzCgkRs4cr8WXaxA1BQXOpWTwZcEs+dukbqSwAte3XoZqaOj2f2gDfxRjJx9FqFhdQwddDN2maJdSZHv8RPQ2nK1+qlY7Wbv83Y8FvH/2TvvMCmKrQ+/3ZPzzuacAznnnEFEFAlmFHMEA2JEMYsBM2YxIaIgAkoGkYzksAsLy+acw+zM7ITu74+BxXW5372iXq867/PwPENPVXVV92x3napzfoeuM/UUb3Fz9A0HKVdqiRykRhcsEtxViSnm3LFQkkem9qQXR7mEIUrEkqQ4750+V71E7UkvXoeMOVmBIdwff/VXQqovwe3xovoPd4rBJ7bVWFNBUGwKGIKQ60sQ/Eaxn98Bk15BTqmD575omcajora1Av8ZFArfsyv/RBXTR31ORbGt+bubnxxC7rFKGuub+P7jQ0x/aRQ6r5Ztkgev2zeBM1m1VJb46hxem0vpsWq6LO5IdFRnGh01VFVlExHejpLSjBbnVal06LVBfPDwZqrLbPRffilfaSuZYSvlwNeP8ZWtnIS43nRsfyH7ts9n7MgH0Ous2B01WCyRFDc5iQ+ETkNycF/kJbsihIMT8xAEeOyq26iszqKurhhBEBjY/w4S4rv9Hpf4L0VolJnbnhvOpbf1QKV1k1WwGo/XxYkjH9Kp0wy2z0wgWOuC3S3rBQXGU99QhlZrxuVsZNG8dEZf2YH8E9V8/nIGj85rx4+ZKexdn8Oh7YU8vm4KHeJC/pxB+vHzX0ZQ+gT7qmsLCAtNpaz8RKsyoSHJzZ8PHV3B2FGPsGrdM9x6/QrSIm4l/4iK1x5dD4BSJfLZsUkMmZjM5qVZyDK8/cBGrntjBKmZ5YhaBfXJGharK3igPKLFeQ5szmXIzR0pymmkblkFkvccG/XnePyPvrIju9eeIv0nn0BYv7Ep9ByRcL6XxM/fmH+lIv2fsBDYLQjC44IgzAG2A18IgmAAMs5VQZblK2RZjpBlWSXLcrQsyx/KsvzOaYMY2ccdsiwnybLcUZblvedq54/G65FY/trZ2K1Fc7YxscDETboYSkJlDH2CsAbqaGoUOJqxiuioLqSdFtgCSE4aSGhICjuVJh6KLWLKxyOJSQ6kvNCXlmP/D3moC10U3eYrby+WyXlVTdFLZkq+UrUyOhtLJIzRIrIE+x6FujILsaFjiXJ35d6IxBZlLQoVkTkGlAYQBIHVE+oo3uymYp+HvU/biRyiRlBBWC8l7W7QkXCxBlPsuY1Tr0vm5JdOlg2sYdX4OpYNrCF/jeucZUDw7+kAACAASURBVD12mfJ9bnJWOKk44MbjaPmwaizxsvWeBpYPq+W7C+v4fmwt1cdaC3/93jiqJNy2fz1J9vOf46rIQ6FUIP6KlAYao4XGM7mKjcFQX/xHdc/PP5C0GBXKX/wcL+ilo32CmqFdWqqLTh6sJyXKtw6cub+khUEMsOLDAwy51OfK3KlfDG89uIHjRdW8VHSC5MmJCAK4XV70Jl/MmkIhcNGCYRzQS8iyhMfTREbmRoYMvAOzOfx0GRXDBk8n4/h6EiLGk5NRQV2Vgx/fPcQI0cPWJbfTYPMJxuTk7eZoxmrMxiDq6ooJCIjCYAgiNnkwAw0G2q25D+2GaZiWDaed4Tsun9GZhz7tQ5yuO2Mt33Fpm2+5qucG+sTfjU73z3TlVSpFohKtVDUe46tvZqAyhGAddBdttSaGGUNIVwVx8YVPozw90TcZQxg84FaOpK8iKbEfpbku8k9UI8sCWr2K7CPVlJ2s5qJ+FVw+LZKSnBrWH85jT0P1nzxSP37+O1iDkujYYTwHD39L/z7X/+LZNoP0jDU+3ZCf4fG60Out1DaFIYvxvPfoDgBUagXvZQyhNKSI8XPaM+XeXoTFmIlIsuKtdKJOMlLSVo0Cgcu2qWk4WNOi3aSOoSiC1IhrKtn4VToXXNMyjl+rV5HYNYxfEpsaxEsrr+DdrdfxwY7rmfPZxUT4Rbb8nIPz3imWZfkpQRBWA/1PH7r1Z0bsVb+5Z38idRUyjXUtN7tfnPgtd8wdzrSrgsjc5eLJSd9y20sdsZij+G71HC4a+wR9e03F5bJjMARSqQlkenEhALuimxgeYaSh1oneqEalUVCX6yC0o4rK/d4W5wnuoiR3RctzGyJETAkKGnIlZC8cKxMREyop2eKih1bD3NAgvnMLpHpNTKiMIazeQMyDMhX73PR4VM/R+Y5mca2CtU7GfGPGEPrvb33tCQ9bp9uQT3fRY4fNtzQwdrkv7ZM5UYFDKsXpcFC2JIyfHnU01+0/z0iba7XNaZ7KdnvIXnLWoK47JXF0vp0B80yIvyKv6H9KY4mXvO+duO0CslcmqKOSsN4q1Kbfsg70z6apqhC15tfFnmuNFhqqTsc36oOQa88pEeDHz3nRIV7NimfCuPO1KnJKPVzcX8cz11uJDFLy3swg1u91sPVIE8O7ahneTYtJ77Ogzwga/hx7gwtrqIFpjwwg/2Q1trom8IIoCLweVMrLSyez/dvj3PTEEN6ctYEe45P51FBOvcPDW6Ht2L55Hn17XcPS5bOYdMlLaDQGvB43dQ0VDBn5MB/cczaxwsl9ZQy1W5Dllgt22bk7GTVsJi63g9GDZmNVdcIu6nn82GMYj68CQzDIMqXVJlI7RWKSg3C7RKp3WCj6vgMAWbEiAxbnEdOu5YLpP4mMExtJaDeOgr53c8+pozwa146PnbmMFgLpHtmZyRPmodWa8HrclFdmMWnCS7gcLha/mA2AJUjH6s8PA6BWJWFVu5mgeQLj00+QpRVZUlFIT1PgnzlEP37+K1j1FoaMfJj2bcZQXn6cyRPmIXndVNXks+unT0lJGkh6xtlYfoVChUJUMqbPc3wnuBip1HHdwwPQ6FVEdICNWnjoYB0hKic33x5P2CQL3Qng6X5fA6AzqHA5PXi9MtNfGtncrtmqZeqD/TAYFax69icAsjMqmPH6aH5cegxLvJluU9uQ1Km1UQwQEKwnIPg/D/3y88/ktwaSuvE5K8inP/8tcNjcXDy9B/PvXt98TBQFEjuZqSypRyUaUChF3nswnSeXvYSsP87xExuICGuLUmUgQ2lmWsnZyX++oomfNhRy8xNDsNU5cdrdhMUbie0gUpUuUrnXNzEKmyRiaicQ0l1F6Q43ogrSrtXicco0FvjKKDQQFiVzSBdCaFwhJ9cX0WB6hgnBiSQFDyNOM5FtTzfiPW2fKnTQ4xEDux9tBEDQeWiUCzEQ32rc9Q1l5OTupqDoIJHh7TEWDGo2iM/gqpOpPOzhwEsNJL68h+923c3w1Lmcemxgi3I7H7AR0V+FtY3vJ1Z1pPUktGizG1eDjDbw9zeKTy1rQmoS2Pt0I/LpU3d/RE+nO/Uo9X6hp/OhqbbsV8UTA2jNAVQX+NR1MQQh1xb+AT3z80+h4GQ1WUfKQIbkTqHEpAQxqoeO7W+EY3PIhAcq0GlEGuxe8ko9KBRwwwUG0qLVRASffd2ldA5DpVbgdp19wF1yS3cEZEKizHwxzydetef9o1z/QTfes+WzI9iOSqXAEqhlzmeX4LEoWCllU+hy8IrSwgOjHiXzyDJGDZtJcclRwoLbI4V15WZXLgVllbx+U1v2rfHF5A2blIZF39rjwmKOoNFeQ0LUQKRdvTi120PZbjd9H7qdk/3G8NMeOyl9UgmOjiRsqxrBrcDthtTJIsZQF5kLXNjyJYrTSwlLDkOtNvzBd+R/E4VKT/SQ+5mVn4UIeCSJ/CY772Nnf52BpxEoyNpCaHAyOl0ATY2w8g0nmfsq0BvV2G0uMn4qRqkSUYUEsvSQiTHDF9Gn/AcWBIQR6NYiNzUi28oRdBYEvd9A9vP3Qy7LxLvzPWKPryEqeiRy52nYnDUUOvNxNzgYNvRJbAEWcouPAmANiGbc6CdQyTHsU1lJOFbPEzeuwml3o1IruOftUbydX0mqQs8sTxzf2Kr51lVCsbaJHuOS2PvdKRyNPlPCGqKn42iBuZ364qzVEZJip7HNFAw179KhbyhHd5bjEWXUA4LocclAfrJVUWvS0Ch50Cn8oXl+zo/fkpJpBnATsBRfCOvngiC8J8vyG79X5/4slCqRuLExXCEOZdc7RwkI0zPs0rboLTL3DN6INdTAnXOH8/0nh5l77SEufagnfUYNYs93p2BoGjv0dh6KaYMENHjcJCsNRFxq5K2HfqC+2metLnt3H3OXTiZqloe2qjh+opYPjflc6I4iJdFK1wF6kKB4WxOWRC11WV7UFoEeL7r4bttltO0yEW1wR76fn8WjX73O54uvp7YmD2XuJXgdZ2+r1wGVhzxYkhXUnfISdnkhlTXVhIbFtxizy+1g7cYXycnbSbeeI6lvykbUxyAoE5qNSgCNVQAZ2s2u5tMfrsXrdSPYzfxiwwPJDc7qsweDzyHkFTNCjdr8B+wSl3pxVUukv+ds0fd9z9iJGan2p546T5z1NagNvy7Ni85kpbHa5x4qGIKRa/L/iK75+QeQdaSM6aMWUlPuW+ALCNbzxvqrSe4URkiAkpDT3nCyLPPJ2kbufuusi+uFfbR8MDOEkADfZCm1Szivr7uaj5/bRmleHT0mdKYsIpZYjZ21n+1gzqeXcCq9AmSZodYAupmt7HfWctE1bVk+ZwcnDpQybFI7rrg7hherslhpq2Ndo8i09ldwrc6Cp0bkUKmbOElFtEFHg+Sha3895vkdqM5X0XdgMvp6BZ06TuDwkWWAL4/n0EF3ofNEkXFHG2oONRIxQEVEfxUb7gwi+RMd3OLhlcYyojUFDJsSinKBhuIXfF5A/V42EDvSReFmcCurcbub/rFGcVLqMLYptESqtUwLTyBBrefxuHasrylDK3rICYmnXXg7At01eNRFbPvUy6mDdgZfksqwSe14d/ZmUjqHMe66zgheiX0n3MSGJRIduJ902cZ2rQ7PgonIWT9AeHuUl76OmDjgzx62Hz+/mp9nhJDttcj1xaCzICg0eL6Yilzky7CqqMyCok0EJvYn4KePwRxB7ejFxJXkc/OwxxmpUWDQKTAaA7ghK5+RNiVbb9lIVLsg+t7bmUajQEmdxH2KWLxZdt6ctpRL117ItyKsc1by8Kw0LmgTyJFvTxHfI4xet3WgKWUWruQtiEDV6f66NTlc/s0FZNqdxBoMPFVwjMPZdUwMjsbu9aDCv+nh5/z5LTvFNwC9ZVluBBAEYS6wE/jLG8VOlZ6DchPPdavmpkV9GB8YyYkN+ax45wROu5uS3FrmP7SJ/uNSmDizF6+3q6FpSwOLHknn1iXxnFLbWFjum/xHq3W8E9eFWmd5s0EMIMvw8dwdTLylO6WdyrnJdhCaYKNQxuyr25NWEECMSkebESWU1x4n6XUVLk0ZlVFeivcdoXjNEUb2f4mH3r+IxMgIbpuyiSapnhNzjPxy095VJxE7BYJ7Chi6NOLWlVIlbcYkdEQt+ESPKipOYQxUMmJ4O2o0byFiRW/XM/iTBLbeAF4ntL9bTdwUkYOznSTdpsbr9Z3HqctDZe6Cu/5sXIkmUMD4M/GusN5K0q7VkvmJEwBrewXtb9U1u1f/nig0AkqDgKuutQiDvcwfX3w+yF4PTrsdVfivU1vVGEy4nI14XE2IxlAoOvQH9dDP3531X6Y3G8QAtZV21i06SvIv3OVOFXt4+MOWsWjf73JyNMfF0K46vF6JgpPVNBnMnOwwGEsPmZfSJSp3eUiJ0vH6zME8POFz1FolYybGEv7NbEb1mE1MaSRfdahh1OVtSGwXQvpPRSR+peHGC6P5wlVCkFLNiMAkLsw7QLXHBRa4QBPKvSUWOg2ygXYDQTfUoRGi0dY1ULctlnEpU+kf34tGyU2AJQqLHMDOhzpSc8gX5lGyzU33R/Tow0T2dXDycMHR5jEtURXywtROWFYZqTsqsWeOnYsWnCJ+koWKkHLcHucfeDf+t0mI7kZGVTEzolJ4LDed9gYts+Lg8ogKFIKLWnkzNikDfdMzlDfm0m7mF3S/eTSVGy/noye20ndMMpWlNt6YtYEuQxLoe/0Ynl1YR5sHxrHUXI/ls0nIpem+k5Wm4/lgPMq7dyGGpv65A/fj5z+kqamRrOxtbNv5ITpdABN7XY165QPIhfvBGILi4peRnfUtK1VkQpdJIEtQV4SpZCUfRVxJT5OdBus71Kq/Ry3ezZcdQ3E7quj1cUcOREVwnzMbGVCYBd4I7cyuGbvwuCVy387k4XtSeE8uYr5cxAO3pzLguli+spXQPVaNTU5v1W+HaKBUkrm/4AgS8GxCR07kZfB1ZSHhai0mZetNj5qKRhpqnASGGTBatK2+9+PnDL8lwFIAfu5c6z197C9PlVNFQ43A2MAIggL0TC85jKuvBbVGgyj6huh2edn8zXF2rM6iVvKgiNCi0SkpjVKwy3Z2h6LQ5eDzwjzi24XwS9FmW42TnWtP8dP76XTQmHztyjKPeY5yY/QuVnUroMCQw+qfZlGoWkFQiokt299trp9d8i1xsWFsvrWBVb11bBoYRtxYNeH9VehCzp5M38/OJ2tWInbcid28BZcqm+OeeznpeRy3fDqfJjLhnRxUa75Gxo2LcvL1j6DteYDuj+gZlVeI5v7ZFKZeRNyCL1G3PzuOLZlP0/6lfAxRvp+TMU5g5EJzC0VrfZiCvs8ZmLAlgPHrLVy4IgBr2h+TBkprFQntoWruzxlEFf9SVMzPv6GhlCZBh0r363aeBFFEZw7EVl2GYApDrvXvFPs5P7IOlbU6lnmgdT5ep0vG7my9IGZzSDgdblZ8sJ9ru73Hlq3lrN3v5qsdHirrfItlJ4u8lDVAardQ+o+Pod9gM8qKw5Q2RXCiwE2vwmQO/FDIkvl7Oba3hO+f2kXldft4LTeaRabOvF580mcQn2a1o5y0vjYk7TGyvLPJlV6nTt6Dw7yTgNEnCFSXk9JUT2pdMdrCAxg2z6bDxIIW/ZaaIPBG+KQqD+XPXiKVbhc5UiPGa3xjdTfISBX5hCfsI69oL18tvZvGxn+mIJRRqSRCpeXVopNcFhrIovZeOpkPUs0iTkozARmDmMIJ7TVEBw7G5O2H3byGrEM15GVWsfTtvfy47Dget0RlYR1qUcbmkDmZX4KxKgd3UCLepEEgnH7HGIKQ7f/Ma+3nr8mJrB95b8EUMo6vRe11oVh+n88gBrBV4F00DUWPa1rVExQq0J/eTOl8MT3aHMYR/iZV6q+IV9xDpbSOJiEfWZ9FwriNpCRUc+Zp7EVmZuEROk1NA6A6s46GZ05w1zodX6jb82N9OQsdhdwWHcuWpXpC7Y+3OHeAPIzy7E78uNDAa/YRPGTuzPsl2dx8WnB2SWUhFe6zmjyyLLP3h1xu7r+Ay9rO576LFnHy0F83h7ufP57fYpUswKc+vez0/y8BPvztXfrzCbSI2E5pSelrxOuRuKksmIyXDiLbPNz27DA2Lcng2F5fzrNRk9vQKygIhQxTHx3EXq2rZaIq4KDQQLwxnw8+jebLJTLrl/vijS+9rSf79+ZjrBWY60jmy8AKvqgtpJPOwrTIBOYWHGe4PpBhHb5m1cfHOG7w0u+SOezzzqa6No+wkBRKt7nJ+843CUt7uIJTxk/JHreBxKBRpNRegKPSwvI1W7n3kxhKLQ9il04goiVGvIVaeSdV7n2YpP5YgkxkC2v4JU3mdMyT4snVX4qbGpChQXeQQDGXqyd/yedfX06jvZol6Rdz9YeLqC6oIaVLZyJSg1u1pTKIBHf+7whdhfZSMfANI1vvstFYJKEOEBj0hpGANL9RfD7IdcU4BC3aX2kUA+gtgdgqSrG06Qh1RciShCD6Bc/8tCbveCUbvkpn3w+59BieQHCEkch4Kx36RTPqyg7sWJ3VovyYqzsC4HDWIwoiGo2R2FAFQ7to+eHg2Z1So04gNUZF9tFyXrh9NQAaPIC6RXvBFpG2aUXYb9pNZd1RagLHUX7ph9RJoczb30TB2jpeGZcKi8/uYOQfr8IkeSjSujlS19Civd6mQCzGBo5730JAQbLicYq8CyhhIaKgJSbtAWz28TxeUsk+ex0XJY1jhsVK/9oKDn4URmOxRGSvKlKCSthoK6dC62WRLpIX6s/u4AguAZAJ6iSid2zGXaLjaMYq7I4aSsszSUro+3vcmr8cglfmtigNI0LfJYtVIAmEChcRKV5DsfQZiYqHqfSuxabYRpjnJhIqJlHcPwpomfSiz5SuvLfOyZAuWnSqJrLL0/mqtgSL3srwi+chlJvYsEXJ4WmZjLhMyYBxqYRGn/WoaWqy4ZW86P+hiuB+/vdwe5r4YctZp86U4ETEg4taFpK8yOqfaYiICsSLX0Z21CJ2noicOJjq4OUYtALl0kq0xCDLECD2Jl96E4kmDEIbBgQMIl6jJ7fJDoBd8hLdPYTpL43k0PYCHDYXkRodZiGL2alrUdZP4p7nVGw97ORw5kDm3Lqc6Khc1EIw36xP5sH5EmDjo9Uw8/JA5nRKIuSETF9lO36wNGJUnDVr8jKrmHnRouacyIe3F/LYVct4+4epBIT8M0NL/Pz//Bb16XmCIGwGzgTSTJNl+cDv0qs/mcZTRaQExLG+IY9LS0y8fvF3SJJvrWvHqiymvzyS2koHV8zqR7k6gtBKHaUF9aT1VaIyWfiwZdpMJmiUmJc/iqUmnxlXPEyDI4m+o1Ixd42gz8gIgtaI5G0qpH11HcuHtMWtlLlPPsnNwYnUrZd48o5vmtva8o3As8vfpcqzku5dJpNxn88Cj7vKwR7xXvJ+2glAdu4OEmLXYy+8FrW1iZrQedjx5ZeTcJInvUaa4gUc8j4KXd8S4ZmBVh+Pi5a7MQZ1FHX64z6D+GfUaD4kJfkG7rp1FVXVuYBAUc120noPIzwm+ne8G+eHUiMQM1zDxZuU2EsktIEipji/QXze1BbilJSY9cZfXVVrtlJfUUx0x16gNoCtHE6ndfDj5wwVxQ08OOlrco9VAnBgSz79L0yhyeFmyl296DUikZufHMwnz20H4JpZ/eg+IoTdexeycfOraNQGRo94gLSUIbw5PZDnF9WxbJudzkkqnr8pkLQYNRt3nX04H1t1iGsGDuCzrWcdnpY86mDpiqtobPRFsJWVZ1LdeRLG+GFcN0aNyyOjtRq59rkLWP3Wdrweickze1PS1sQ3DbkMtYTyTZVv0XNWeDRTwg+CEIKHOkKEsZRJ32DHZ9hLOMlTPUGUoQ8KQUGl28WCymKynHa+6pnOxN5mXAEDKNlrYPvsFBSaJLpeX8zdAd+SFd+XjQ4H7RRmaj+QiRiooOOsSlwFdtQh/ZHxKbm63b6QHa9XojCrGofNTUSCBUvg31+FVZHjYEjHg9SwBh1JNFFAubyCeOE+RPTIsi/8RxCUODQ/Iuv7kpJg444FY1n25A7sDS6GTetJQIdEjJVe2seKaDnKilWzASgGrKYBLJ7tpiTX97s6sCWfk4fKuOfV0QiilxNZm1mz4XmczgaGDZ5Bp/YXYjD4Rbn8/PmI4tnpf42zwads31h59vsukxGsicgTPgbZC4ZQvGtmIFT5FNqru15AlfodVExESzQqIQiVEEC292nURCHhoFE+TgkfsaLNS3Q65FNzD1apiXSquP/BjXg9Pg+dn9Zn80jSRaRZ7mP9bgUBRoE512pweWS27AogJrQLZp3Ig/Or+DlvLG1gYbiBhy/+kAHjUphya3fymsoxB2mJTgyk6FRNs0F8htxjlZTm1/uNYj/n5FcbxYIg/PyJnnv6X/N3siz/5X2IYpKsZHz9EwPbJ5C+MrPZID7D9pUnmXR7d/KzG+jdBT6Z8SUB7ayoHkihRm7knaSuLKkqYkNtOWPMQVylFlD2uREpcz2mffN46IVVlOxvyzOao4yvD+LzN9dRnOszOr+av5vp80bxRI9UIldZ+OTTFS3OfdFNXTEGBFFW2oTFEkHUIDUFa93oeuSTd3xni7I5+dvp220qomimXjybdzlUmECoeCENcjpqgojWDaXc/jVR9gdp0F+GjG/n2UAbLEIv6jnKLxFQIQpKkhP7k5zYv9X3/ysYwhUYwv3G8G9Frs3H6ZZR602/uq7eEkR92WnVaVM4cnUugt8o9vMLco9VNhvEZ9j+/Umunz2IBU9v5c1N13DdwwMZc3UnkCEs1sKBQ0v44qvbm8u///Hl3HHzStKSB/HuvcE8db0Xi0FAp4K6KjshkWcXdQ5uyKKXVsWbl3dFGxmEUqWkvGJTs0F8hrKKfIpleOLTWmQZVEp44eZUbnw7AldBKZ88sxXN+yqe+Gws1gQLgyxBlLpdXBlYSIHmAQLkeZiEzhiFdlRIq5rbDWQYkYqrsYkbebmtibmebgw9UMtWWy35sb1p9/5oyttn8OM9Ss5EKm24O4Ixb43hQW0DV0V0INXRRP7szeRUr2fT6u+ZOvZJkgjm/gveZFvBOsJCUrHVN7H8vX28O3szbpeXtK7hPPbJxSS2D/0D7uL/DoEqBQZlAKL4Go1yJjohDmSRKnk9BiENELEKA2mUT6AngRzTQ8TYP+GjhTvoMiiW2LRg1EmxnLSpuG+yDrOwmy1bXmpxDqkhjpLclt4LKz44wGXTe+NWZfDeginNx79ccicKhZJe3a/4bwzfj59/iUqpYdjg6Zw8tQWATYeW0mHwvQSufhRkCbHfrUil6fDpZARADk5DHPciYvcrfcJcogJBBhE1ZdJykhQPc8r7HEpvAB0UC7DJ6SjQoReSyfTOIlR7hGHmYDIcNl5P7sK+t040G8Rn+OalfXQbFc/K+fuZdP8gVh6OYNUBCb1WYOGjQdTWN7Uah8sjI6p887tt350krVsEQREGaisc9BqZgDm4dQpJrV6FwaxuddyPHzi/neJ9+FIwnQluOmMxCqc//+WTI1aV2Fj2xm5u6mFFozyHm6fg+wM8sCUflVZJ5/Ep7B2lYGpJZnORh6PTeF4rEr3jDQxHluEFxMH3INeXoPUaIBz6eUJQ5dqaDeIzLHhyC/N73cCx72WE0zHM0UlW5u7sR43mMzyaV2hnv4IqZz1Rw4Lo/YwBRXg4qixtK3GVzv1i8TRaaZDbYRcyUBNGkDiMo94bm8toiCZF/xS2jDa0D1yHx5qJWmvARGd0Ygx6ZNRyHC4hr7lOcNO9hBlif4er7eevgFydR5PLi/o8dor1AcGUHPc5kQhmn1FMfJ/fuYd+/heRvQ7kpjwQVAjaBAThX7vN/1Jz4efHHHY3ktenkhoR55OZdrudbNn+Tqs6R9K/JzV5EGqVQHSIkpOHyvhi3k4Oby9g8h09uH72QBY8vRVZhqObT3HD7dHM2axgxR54/47WC2jRSdOZ9nod8uk3ndsD325tYGDNPtZ+doixN7dnytMa6gz30oiaYeYb+ag0kEbBt6N9QppFF8ViauW96EnGThYieiIVV3LUewNnXqEqMYgNXT+m195KtF4XcswAMhZqaSndATnbYuje/TCm8sMsWD6L+oYyBna+lDlXvI92zRwoP44GuCBtNEokDuwv4c0HNjbXzzxQyvtzfmTOJxcju+tRavQof2Wqtb8CRqsSm3CSQu9ZHY5AYTBRws3IghunXIxWiKJCWo1BcTsOIR1VaAFlOfXs3+B714XHWZiz9EpOlb6Nwtg6xZVwjh+tIAACHMtY3eq7H7e+TecO49Fofv0ulSx7kZ25ILsRNPEICr9gkJ9fj+wqRXZXER/TnsnXfcXRA1+h1Jgoje5OzYXPYfY2EawxI+w4+2xV9rwa7+Jr8TpOz1U1JgKD3iA05D5KtE9Q6P2QBMV9iGg44r0WX6ZWUGGlreJNKqTVPBV9NwtrbdQ5qtAoWmdwFRQQMDEG3WfpfPTwOq55+RLWHjJhd8rc/UYtXzxiJNAsUl1/1pieOFBP5rqzmzYnD5UREZeGWuMic38pQy5tw6Q7erDkrbMhEXe/MoroZL+3hp9z86uNYlmWE/6TcoIgtJflc0jH/QWwN7qJTAzEWWtg6JggVr91oMWqVr+xycx/0DfJ2PH1YW5YfTH35e9q0cYLRSeYKFRhqC1EMW0pyBKyvQYxri8ZiyI4Mt9JSFwA+rvtrc7vtLupOeGBJhXjJ/TmyM4Cnto0mHzTRXioBRnqdXsJVkynZv19HHjShTnRyjUPbmXZ8UupqfMJtaQlDyPM1AZ9lIUG10sc1UwhXryHXO+8FudrohA3VdiOqjm1LAGFLp6+z5rQRfkmiDEBCUi1i6kT1uNSZmDyjMYk90Ol+mOEsvz87+GtPIXb40F9HpNnvTUYW3UZNl+dKwAAIABJREFUktcDhhCoyfv3lfz85ZEcOUh5jyFXfAWiBjH2UcTwmxBU1nOWT2gXTErnME7+TFBr0MVpHPgxl6mz+rdSDRVFJUZj691OoyGo+XNpfh33XvgFlSU2AF6buYGpDw9gwboR5EkR5NcqOSaJREZogAYyihMJDe1IefmRs+MQUnyxckaRYV212BwSfWI9rLvnCGq1yJSnNBSYrmouX6dZyw1hy3HKcQDIeDjovYq2ijfp6HyFBuc2MEaSL7wDyAgoSKq/kYBSMxrpOLsiOpNYfQJZIaAJFPmlUawO0qFprMSqVKNS6Rje/QqGexxoMr5DKj9+tmDmWuSszZTkdGx1jTp0VpGx5EUKdnyLOSqFDlPuJTitxznvy18VTXgOmdIHLY5Vyz8SJd6M5FXSIO5BRSBxiul4GnLoXvoQeqr4fE1XFn9YzsevZ1KaV0dNeSXOjpPhhWAGDA1iafm1ze0pzAXEJFspyDq7sD1uWhdCwxToT7Y2mI16K6Li3783nXVVgIzW4tPmkN1VSMXvIhU8B7ILIeRKxPjHEbXx53dx/Pwjaarcg7v0e9TOlShlJ6rIl/i8/VXUetw8VJGFojIbkymEQdVH0JypFBCDt64IITQNwRqDlLsLagsQMlYRaLwWMfxj7Ir1qL0dyVe+jFaOIrXiGjQVTmRjACqzBoTurHQ42VlXyfUpx2gYFYLqmZZ54vtO78zMxuPcf3cXltz7IznbT3Lj2MFU1HnZuN+Jw+nh0wfUfLxWID3Xw7g+Gi7o6uWBPtsxmDWMv6sfMf3TOJHTgOj2EOpwY6tt4qYnhjDk0rZUFTcQlWQlqVPYORez/PiB3ya09e/4DOj2B7b/hxGXYmX07HHc9bnM25faeHTZRLYsO45g89K+ZyTZ6eV0H5bAwS15RCZasWm8rdrwyDLqgCjEbpfhXXwTNDUgdp6EHN2DhIvM1OUlk/+9ljaWEHQGVXPCcoCLruxO7jsivR/Xk/l1OE++PQXZkOEziH9GlfodogdejeyxUndCYu8tVqZ8/g1b8meTHD0U9cEhLO/jpeOdDlSmzoREr0M31IZHX/vL7iLJTRy8V8IQ48XaRkH1MS+GqLO7JnEBbYA2v99F9vOXwl6Wg0anPy+BLIVShdZooaGyFJMpDKkqG79D+98Lr1fC5fSgM/jc0mRZRi77BLlisa+A5ETKfRTB0BEh8IJzthEUbuLpLyeyZUUmB37Mo33vaEAmNjWI3qOSWpVXKJQMHXQnGcfXIkm+Z7BGYyQ5pjeO6jJ0gWHkZVY2G8RnOPhjLuF9BzHlFZBPJzLvmgw3jzPx6rcw56r59Ezeg9J9DI2nPa5GBU9eqaOt0UZpUS3aZAvRsSY8U9oxbsZAGky3tepbveJrlK5b0EipNIknUEuBmLJLUX8zm+DqbGgzCvXYyRwM3k+bmukEf7wYoeIUAClaC9KUpRQHfETMKA35a9zN+daVBgjqpEba+ymGwv3M6HYlcnxf1IeWIJ+O9fs5ct5uopIHk9I5DFmGrMNldO4fQbRmAye/XwmAs6acH0/sY8SzK7HE/H1SCsmiC5nW72aHZOdUbQ9iLIcpFT4mvHEYsd9ko0pMQDr+LvKpLVwelET/zx5j1j2lGFUa+p70Ig6sZ/87vbnshmUUODYREGZFUMtc+bSW/ANtyDnsoPeYGLQqDdUnDxAf3Qet9jOcp9PaiKKC4b2vRaXUtOrTGVyN9RT+tJqMr19Faw2j7YQ7EAQBXaAFZUM5WoUBPE3IFQuR9akQ+9Afdv38/H2QZZnK49upyjqK1xmAPug+AqIDic09zutCHHkB8QSZAigrP8aGH16h26iHmo1iwRqLENsLuToXqfAAYtsLQKlFKjrIJtHCrYcaWN/2URq2u5EucNIp5ya0Hz2EEN8XIaE/0o6rCXDZGN9zGgP7TKNE8xpCZyXPbnqabV+4aajyMvKaNjxmraXG7UZp9qVUim8TRHBUI9VyLddMMxOgU1NaspIre1YSMLorISYz8+8+xr3vX0xcvxScLqiq9fLQt41oVcG8ejlIkoTZqqP7kPg/69L7+YvxRxrFf9mlGNGk552tTrySh8Z6N6dq7ay+Vc9DqgT4sYbinDrcTR5ueGwwUUlWDE1aRlhCqZc87Gnwyc9fExBCksKO3FiF2OMapF0fIO1fhKi1IMW2J+rmOgrXa1FXmnju4ytZ+slu8rMqGX5BJ2JcSZTkypTscBM7RIvbEY1CyGzdT1TIHhGVWSByghdlkIS3OIJ+zo9wHZY5MNcnsnJgroNeTxqQS+IpXlpF8nXP0EQ+jfJJyqSlCCjR2NrjtkPUEDU5y5tIvbp1ShM//0xkWcZRWYLGmHbebRgDw6gryccUGAbF/lzFfydOHipj6dt7yPipmFFXdmD45HaER8pIFV+2KivVbUf8F0YxQGxqEFfP7MfVM/vh8UhIkoxa/a+XUBLj+zDjtrWczPoRyekgSDZzeO6dZJqCGDDrA4LCTSR1DOXUkfLmOjFdYrnnMzWy7DOYYkJExrVz0ynKhXaUgqJiK3HuPhjV3Xn+pu+45NZTuBrcvPDpQQAUSpGnN96CNGQwsxY6mfu0Bn6RGlOUtXxdLTHa/CFxqlxiGgJQ5v2A0PNqpFNbkY+vw+yyETH1YgJPKJoNYgCcdcj7PiJ/1zxkXPScbaCxREJUgCZIpOFEDZAFznp0O95B0AciN5QhxvY6mzv3zPWO7EqkKp1brj6CyyUR99pELGId3ppowsKv5eiaRUgeF16Xk/rCk38ro9ikSMUs9aBe9rlOWoRehIhjUUkG9rpyiXROJMaoI7wkAIWiCm/2dsSE/gjx/UAQiD3wJM/Of52FH+znirv6ciA7D/UYFUpvG9o7e9NgWE9xfgWyDAl9TxHcpYAAbQ6aw9nseHkzKp2JyZPvp0Hjwm0rI9kSQUzQ/+9oV3FsN3vfmYUuKILI7iPY++4DWAc9xroVpRRkt2fcVe8yqM9mAr1vIZUvQoy4HUHlV7X28/9TX3iCmtyTZK54j6Z6n2ZCdJ8LCelyIYXpMqu/3I9Gr2bk1OEEW3eyvfgoY0a/SE2Vl+CURFQluxGiuiCEt0PatxAhvi8VA+6kVGfj4/YyAdo88pfH02PIvWi+uR8huhtiv1uRS48i9pyKtPtDLLveQ2cKpSY0mgbhIHS/kUHdkxAFPSbH7ew+pKaPNoD8DYVYQ/Skdg3nscmfNI/huieG0b3/YOyNTir2N/D5ogzu+mASP2XJXPxoBRW1EkO6aFn/QhhD7y3jjc1K+vXwxw77+XX8kUbxX9aqqq11U1jlc5d2mKwcfGENd3wwCIqaeOXutc3lju4qYsaro6hz61AKAlalirkJHTE12bgy/Su8W18FWQZTGIoLnsS7chbS8bXIkReQJcYwfF4Rdlc8usIgLogdgcPsoXq5QEG5TMc7dOQsb0JUCAyab6TmZBtUHaNwi0XN5w923EfhB1aC7i7jzdfWUVViY+il7RgxswdVOgXhjVpKX/eNw1Uno07Oo2nCvRzz+ly9zUJPksUn0TQls+fq9iRN1CB7ZQQFWNv6XaP9nKahFAcaNMbzn3zpA0OoKc4lJm4AUo0/V/HfhaLsGmaM/pyaCl8YyMlDZeSkVzDrrVEojF2RnS13LwX9f250KU/rOTTZarGV5CAolJgiElvkyhZFBfFxPSGvgP2fzabO4dsVDh94O6sWF7Hpm2y6D4rktif78sS0tSS2C2D01Sk89ajPIG4XI3Jruwq+fmQ9a+xuQiJN3P78cJ6/5TuufXAACAKJHUJ58bbvm8+pUIqcqlHy/KJaBAFshdMg4XvOvPIElFjkCWy31dAgmXlKGYL4xVSk02EDQqdLETtPQjq0hPi6B1GWLG31slRWHSK4Ry2yK4zdjzWiMgrIXpC9Mhd+4YRVp98DgoB84EvEuN5gDkdIG4EQ0RkUKuTwDlTLVn584UaQZbpecj2Rex5ALPGpwFos0YTc/jSb3noU2etBoWktSvNXRukNI0l4nlJxAZLsQikYyfI+Acj0DQ1FK3+K027B05iHMq4PCsmLd/0z4HGCUoNixMOEa2vZsPgYvYdEsG7xQU4cqsJs1fLUO5fz/Vsuso54GH9DF3YuzkWSYrjk+jaEdjuOUilScmAT2Z++THCbngwcPBhNbGeEyE7U5h2jPH0nboeNsPb9CEzujKj0rarkbfsWgLiBEzj27ZuEDH6AJ+7MxG7ziV/OO1hK1cy+XD9xA6KxOyj8Crp+/j2OmnIKd33fbBADFO9djz1kKs/NWN98bN+mXGZ9PBM0lTz9nhmrReS+PuEIyu4gecDViGLCa0jHVqNNMtNTdTMuKihEIOLZ6RjrxyEEpyBYY/EuvNo3/zWGohjzBN6VD6De/wUxPeeRYfSJzdk5hUq2IrrTmGht4gY5kuLORUy6phuPXbm0xRg+feIHevx4PcfrrISkRTDpmRQKa0RufaW8We9h80EnWhUsfDiYa56vpEnwz2P9/Dr8v5hzEGSUuayvkrfXupi7RuTpu0YRnG7j+M7Wk/nNS4+T19/JptNS9utqyig2GxG3vHK2UGMl0rHVCO3Gg6OaRmUwB455GFt7A47UWRRXjCakowbZo8EY4MUUJ1K6w01DroQuTKQ204uzOpJI82IcYetxqY5h9oxFzOuOnNzAcw8sbX4obFySjlMpsXuGFdU4BfeIHSh9VUYTCIoB66hQnI19rpf3ECZcjLZwJJ3ukMhZ4URpEBmz1IIpxu/g6seHXH4ChyIAjeHXK0+fwRgYRunJw2Ca6M9V/DciJ6Oi2SA+w+rPDnPNrP7ERt+Pt3YjeE6Haxi6IZgH/su2GssLcdZVICrVNFYUIrmbMITHceiTp6jM3ANATP/xdL7qYfRBEThqK7AVnUSpgPKMXXhOG8TW1D78sC2MlR/7lFWP7Czkh2VZvPbdRcjlW6jd9zaX97+JhVtFruvl4fO7VjU/PyuKG3j/8c2MurIDKz46wB3PD8fZ6GrRz+5D4th82HdMluHuF5N4+d5lBEStRKtSo/dcxPVZTnY11qD1uuHQe2fj6FU65OytiAPugBMbUXsCEAMTWzn5yl0uQROSw96rzPScbcBe5kUf0EBk/H6sFSuRe01DtMYhu+1gDMUVEIPyuwdRDJ2J97sHwVkPaj3GUc+iD47EZasjTOdpNogBhLpC9Hmb6HnLXHK3fENAfLv/+L7/Ffjhm2MsfOUAg5bdxaCgU+QJZ+O+XZRTLjxGG+bjtWQiinV4l9zuM4gBPE14NzyHYeoSlEqBioJqXv24C2O7bsTjljiRXcDGrzO568URvDlrQ/PvZ9eabOZ+dQEB8cWojQHkbf2G6lOHsV0+C6doRCg4wQ9zpuC2+1yqM4RXGPTIZ4R19GW2NIb40hkKogJvk4PKOit2W2GLcX355ikumngDEdFDEE6n1fE/T/38HEdNOfbKYtRGC8bweJRaA7V5x1qUsab2YskHx1sck2XI2CoBQXTqKHDZJB3S17cguZtQjHsObLnIHjdS/6lkK5/BRcWZmtRZlyGc6oXY7kK83959tlFbOdLezxDaXYjd5WB9fQQ9lZ9jV3yHSorD4h5DeUUY/Vec4NHZnwJw3cMDsNW1VJuWJJmsUzZu/8SFVi3wyNUWjDpP89/eGdbudfLglQGM7q4h2OL7m9id4SQj341BI9AlWU1qjH8H2c+5+SONYte/L/K/iVKpILY2i2lD4li8y8vJGjUDhoaSe6i0VVmNWYWDsyJc0/Xt8VRsb/6/2PUyhNA05JoChKjOEJLKp+sCiYmREcNGoNt2PeqErRxYEEn3JzQcftOFvVhq3mdPmqjhyHwH3R7Us6l3GAGpU7GkKjFc4mV57iQSDc+2eijs+vo4o+68kGc82Vw7xEHEXhPeJnCFbeSXVMmbiUu7E2saxIxSIyrOz+u9Id9LXbYXtVEgIFWB2ux/Qf9dkMuPY5c1aAzm827DGBxO3ZbvQKEGrQkaSsAS9Tv20s+fgVLVevFMqVIgKgREUzfosgO5MQNB1CIYOiBoIs/ZTsnBzex+YwYuWy1qYwBtJ9xJ3rZvCUzq3GwQAxRsX4G540DCuo/Ac2gNpoIfUOVuI7Tz9ObcgAHdpvL98wdatF9RbKM4p4ZofTBN6jhuGiKiUouItvpWz8/inFpGhRkpzavj/cc3M/PNCxAEmsvFdI/DEn3WX/pYLoydHs89kx5m6giJrqXbcMm+d0J/lQJdznYQlYhD7wNZAkctWKIQL3wOqaEcKW8X4sDpSLs/AI8LsfNEXHGpeJTZNBZ15KfHGxk4105i9WjYk4M84HYElR7vmseb++DpehlNU95Dt/dzlINmgNeNoFDB3g/oOGwKGVvXoqxtHXOsLD1IaZmCzlc9hD7w75MmrSi7hrm3fs/45/ozPTuDNZbKVi7uDexBZc/lnT3duavdNjid07kZjxNBhG9WJ2Go3YqmIYGbZ6bx46Y6Dm3PJ65NMBl7ilv9fpZ9eIyrJtqI7j2G/B0rCOs4gFPrP0eh0WMMi2k2iAFkWSLjmzcJSuuBtyqXqJS2nNKZkFxNqA0WhHOsTau1ShTmsQj6JJrqqyk9vIXsjV9ijkwiYfhlBCZ2+p2uop+/IlVZB9n5yu3YK4tQmwLpdfs86otOEtK2N+XpO2gz7FICLEawxKLf03q+Zw6wsGV5JjO+TEE+9h1y2TEU13yB9/uHEDpeimiORDy4gjYhPamN70Gm9S0SGq4hYq+MIB5C1rTOUCEXHURsdyHHIntwS8EpFAUwJvAaBplDSPIaMZRKLHxsa3N5h82FNUTfYsFVb1Jzok7DmclxfaNEXGhrEyYuTIlCgFmTTRg1sH6vnYlzKrA7ffW6p6r54P4gOib869h+P/9czstyEQRBKQjCRYIg3H/63zhBaOmnIMvyXzbnisGspOxoAd7v1rJxlsjQoApWvr2HXiMSUGvOvqUEAQbe2on99hre1XdiYUkbeqV7sRm6gsaIkDgQJA/etU8i/bQA77K78ex4H4VKQa8EN1JAHLjsqIUSEido2L7rCH2e1RPeT0VAqoJOM3Q4KiRkL3gaZUQV1GZKFK5zoY91UFi+D7eysFX/U7tHIBkEBEBK8NLneQOBHZQEeke3Khssjmz+fMYgliWJ+uJsqk8dPq2C+f9TccDN8mE1rL64juXDa/npyUYcla0FTv4/GjxumqRfV8fPfwe55AiNbvE3uU+rdQZEhQJ7bRUYw5BrCn7HHvr5s0jsEEJi+5AWx666vx+RiT6FaVGXjCJ4PGLgKFBHnLONhtJcdr56By6bb0fZZaslfcmrJI28muqTB1qVL8nYyWFbFQHHFqE6uBBq89AoDASP+xBl73mIxhiCIlpPzATJRcKem+hfcAOhNfuZmlZMz/at+xMYZsBW69sxdDS62fB1Og9+Oh6z1ad+rU6KpV2civjws688q0lkTA8tR44UofiZsumPbg+NSYMQB81A2r8IadOLSDvfx7v4JgR7FaLkAcmLlL4Ssd+tiEPvQ2qsxm62ofHGYklR0PWRWgjdTVPCcNCYoO14pM0tMwhoDyymvvw471XlcVSpxZH7f+ydd2AU1fq/n5nZvpvdbHbTQ0hIoSX03nsTQVFEUBELiL1erooNxXbtV7ArgiKWCygqUgSl9w5JgIT03jfZTbbMzu+PxcQY/N571Xuv+svzV/bMOWfO7E5mznvez3nf3cjfPo2YOgWDKQhnWT5ue+uL9cSNpOz0IVxVpa2O/ZFxVDfgdnlJTAlDRMDhDW1VJ9jfDzFtDyN76ThalwialpH1heSxKEdWYVk/B9Xul5HX3snlCWtI6mSka98YZJ8f6QIpG9UaCVdFAY7ibPrOf472wy6j8OAmovtNuOD71FNXhd/nRTi4nKB18xgx/WoswUH0uu4x7OZyQqNb3svz7kskZPVk/PuWUXJ4M/tevZPytD1kffshe1++jZqcNJzlATXOT/F6ZDIOF7PlszSObM+lrqaxVZ02/nj4vDKnjxTz7SfHObIjH21EYGGky7Tbqco6irM0l9ihlzDivteINzUQuu8ZQjfezJVzE1qkwtNoJQaNi8EeGYRGqQvEKNBZUMoyEOIGIpjsyJ/ciPL9K2g/e5awFZ/TyXEfUQcEVJvfRFBkBO8F7qnYfpxNmsBlThkF8AFfVZVQ6mzg1C4te0/5EMXmgXz1/jGufXAIkfGB9HthMWbmL53G0u8CdRo9ChajiD1YZEyv5qwEKgmevjEYi1jPkVW7yaoQeGplbZNBDHDojIf96X9Yn10b/2H+bU+xIAjRwFagGDhCIKDWZOAFQRBGKopS9NsO8b9P4TkHM27vh19ROLw5k/ef2gnArvVnuf+tyeSkV9Do9NJ7TAf8Xcx8VmrhvWu/Ji89ICUxW3W88tFaktiOvOmJFn0LJ9dyx1U38O1Tc6nvNZKUcc9itmtQnE4+u3ovlruCMEbHYAhTcfqDRtzVCv2fMCIrCoofzF1FUp/UYUxwotUG4dEeImVQHCd3l2EwaVjwUUeih5+iXvUWwzyjCJc02OPU2FPB5Z9MjbyFKuU7AGzCGEKFCS3G53M3kLN9NceWP47sdWOKjGfgnUuxxl9g9gh46/3sf7SehnIFjUXA/qKf3e2K2VXjZ6QmjN5B1haTxJ9S6mlkXWURrxdl0U6rZ0G7Tgw02xDbQub/blAKj+FscKM3XziVzr+KyRZBTXEuEUHhKDX5wB923ayN84RFm3lmzRUc+PYcZ4+V0n9sB7oPjW3aDwxQnZNGzvefUpObQfyIy4noMaIp1QxAQ2Vxk/QZIKxLL5JGDsYSJRN05Wx2L3kaj7O26bgSn4qjOhcxM6B8qepyG8++6GXfd3sA0GhP8+A7k1l8/Zf4vAHDICbBQodYPxytB3c9cScX4Oj+IVqjzI2PDOHdJ3aiKKDVqbjrxXHs/TYLW4SJLqPb0evmFIzJFl7bMpWStHSOKH6u+1sFr99tp9GtIPsV7BYRZ2EZce4KFlhDWFQZeBfscNZxtN9NDCs6AD/ZSy/vXII4/Q2EiK4ItniUjI0IEV2QEoej9dkwh5jo/2Iah5fdiudQDao5i1B1mov6aAOhSmuDJ1Stp6wii2Ub9nD9tJdJ6TQe+eBKzJOfI6LHcGoFK8YB82DfO6D48SeNxZswGk/956gNv3xrxO+RsBgzsx8YwqanDnD9oiSWFVVzb/ydOKVXAT9aYknkAYr7H0US7sMeOwXR9Ab+f9wMHidojIiD5iG/P71Fv9oza5l783xyshLYZkmnY88ItnxyClk+v59cgKlzkgn2lZO++u/4Gp0YbFH0v+V5NH5XQKL+Y9kBkDhhDipvPb5970JjLcbvHsUoiGC0Yb74dZ77LJm9m7IoyKql1yArqZ198K0TefWtWK9eiUpvQvF56Tr9HrQWG0WHt1CwfwNRvUaRMPZq9NbwpnNt+zyDR2ataTr95bf24aYnRrZKd9bGHwPZ56Hq7DEO7naxeP4O/P7ADztp1lCuvPlStBoPtlAbirEPaeveoeToNsxRHeg58W9Ydz1Jyql5vLruPXZ9W4bgd9Kjn55k/X5m3NYLr3wOTbu+KPXlUF+B2HEs8po7W5xfKD1DWFEs7FkaGM+OJUhTXwooX3YuCShjLNFU9F7EKV0EFd7mxXCNINJXDmbmijp6xqsYfXUvtiw/BIDT4eabD49z67OjyUuvIGVkAte8pVBR62tq/+ZXdSy5w8bCqy3MmWCi1uknIUqF01jJEQEaevXjnfX1ZOS3zolcWOFrVdZGG/DL5NNPAq8rivLyjwsFQbgDeBq49oKt/kCUF9RRXV6P3qTloxf2NJXXVTfiqGpg38YsaisbWPvmIZ7bPJv0HcVNBjGAo7qRT98v4P4Hel6wf3feQVAUig5txdfgIm5UHK7SL3j3+To8njUw6A7KD6oIihPR2UQc0W52dCqh83fBfO0pojEmhGtt8dx0/ad8uuZuht4wkonXD6XrcCvFMbMo+SF1k+4jrNJbwBUAGMQ4UoX3cSmZgc9CImqhpfevJjedw+8sbPpcX5zN4XcfYuiDK9BcYOLkrlEoOxB4wNhe9jMnYg8Ojw+KQSpOY0PqUIYFt16l/4FVZXn8NTuQE/SUy8GWmjK2dx9Jr6BfZ4C18dug+GX8xadocAaj+xWeYgCDNTRgFBtD2nIV/4lolxhCu8SQCx5zFGax7fErm4za8rQ9dL3iXrpMu70pV6TWYkdUafD7PET3GUyPsUFo6h6EYtBKFobf+xxbnn4Kv9eNOXUIeyPjiFIUUOvB28AZ70D2fde8X87jlvnohb08uepi1q84QVKKmcGj7UTumtc8sJp8arJzWPJiKQv+PpqXN8zC0+ADQSAoUsMNfUOZd7+dd3xaFtaeY49g4PCHT+LIO0PszM9o9IRx3bMVTd1NG2pg1jArtphI5hRuJjGyK1/IKi6yReJU6/DU5rROQ9ZYi8OpwbTtJbBEI8T0Qik+if/klzi63kORbj/tw+9l2BU3cHLPNgqPbKVdn1g8DZEQmgTlZ5v7MoWhKUlj2oDrWP7ts3x/cCUdtTrUfWdTlXcKS2wXxJD2nMmrJ2bGx6j1RirKyinds4WUGfeh+z+e0X9EbOEmOqSGsmzxDobHGek3sz2fCxdxSdhYwjReLGIIaap5uFSBrA5l0j8wxi7HPHYhqLTgdaOUpl+wb60E7eIkHn93EAVZNTz96VT2bMrB5/ExYnI0UfYyarLrkL2BPZGuyiJOrX6VYTct4kRmMMmz/k75/mXIrjqi+0+gviwPd4MT0WhHaDy/+KP4ob4cSYTctfdgKcsn1GKlfmse+3fqGDX9ZgzbnkARMui58B68mSJnvn4HV3kBgqQicdw1lKfvR2u2kzQhMCUrzqnhuVvWt5B7/2PpQcbM6Er3wbH/uR+jjf8YlWeOkLFtB39/TGgyiAHWf3SOUVNj6abZjWjUsucBremBAAAgAElEQVSLvVSdDWR9cBRmsXPFSwy67TW8xRkkRFUQPKmWwkOb6ZQ6E606go6mOvLzytBok7EOSCbIFoFSmRlYMPoJPl8lKpMdnBXQUIP88XUIPWfgn/0FJw6U06iLZssb1Qy408vy0B58WV+CwS/Rt0JH+QknPtnAgUwfqcNTuHJxODl7z5HcL5La4UbqJQNiuRVtiIXnbhK55/Uqsot9RNkknr7RyoPvVOH1BXLIP36DkZvc31FQ3sj74hgWvltN51g14/vq+XBzy3F3S2jbU9zGhfkl8ukBPzWIARRF+Tt/EtdPZHwwtoggygvqWiQXH3tlV754+zCnj5RQklfLsMu70qi3UHi2olUfGSccNJbkIkS0DF6i2BKoqm72ipSl7cViD0XUKGjUbuxHFmP/Kpnwi3M5dlE5q/tnMyNqJ0lB0EM6yvgIA93PGycJ8YO4Y/43pEyaj6dfMGL4qVa5jM/JT+JRmiVbasGCReyNRezdyiAGcJa1DiZWefYw7trW1wigs4lEjdSgswkciK7AITevwMkovFhwBs/PyKJL3I28VHC2RZlXUThcX42sKFR63XgvIAFr47+HUnIKl8aGxmBCVP26EATGkFBqinIRDHaU6tay/zb+fNTkpbfw8gJkfPEaropmQVFQZDy95z6FIEokDe2Fpm5Zc2W5FmPDyyQ+8i7yPa/z6UU3sLi+miy9DUYHFu+qHa03XuZmVBKTHMEj741n9AQbHdaPRqg801zBHElBkUhpvoNGRx2J6kOklD5LTz4jRdiL/b0pWN8ay4Jjb3Ei0kpN1UEceYH2VsdBFs0JJtgUeH2O6aUjJV7DugNeLnrJzC1bp5NcY+cZ6lhdWcplZw5RrEsI7Kf/EY6O17N2dS0NMaMCwedOfYlSmo53/Dxyg7+gVrULlyoXfcF2ug8YQEj8QOrLcynPfxP/tNcQEkeCSocQNxBp1AL8u9/A7g94RdQaI2LCCOS972KK740gqdj78s2krVlCeV4W3oocDHXZ2ELMpH32Esc/errV7/RHx3Xem77trRN8PeEbSq4+xorLMik/HIfDm4/rJ2kOT5kX4lEZ8X9xL/71DwYWHcJ/+v5OZFVmNFucIhlfvET+qlkUf3wx069w0yfkLQpWTWf/qzdTuH8DHS8OLML0mDKHAUMGIO17g/6RGezfWs/h8tmoey+iLP0Ip794PfBcHP9Yy3MFt8ejDaEm+yQeZy31JTkoih+f20W9L3DPey1qymM/xNYhmsbqMvTncxur9UF0GHUltXkZ+NyBvdL1DjeO6tbS1pqfBMpr449D7s61+CUrNRWtf0O3049Br8EZ2bXJIP4B2dNIZc4Z9q5awvev/hVrsIF+V8zEqltLVYOLHc9cw7EPFnPgvcc5vn1zQKlYX4HY68qWJ9EYcES4cU+6jh/rsOXs/eQUG7lj7jkWXLOD7iPbk6Nxk7UyC+W6E1RfdZBlF39J/sEcUuMC9/LnR8BhDqXLRal0GBFFqDqax99XcePqIO5fXo9aBW/fY2PFA3aW32/nmVU1nMrxkV3i47IBalRRbsaERGBVqSktCywQpOd5ibGrmNRfjyBAkEHgmbnBDOrStp+4jQvzS2a5Df/HsT/F0zW5ezhVpfUc3pbDqMu7sOWzNACGTklm/Yrm6J09r+zPa183MK5PLJyXffzA2BkdUVnLECctRjnxBf7M7xHa9UKMG4y2tK6pntpoxu+qISIuHqX0/FfbUIPh7BaOW/pRLnp5RpPE2F0voj+4nD4XPUNhz6ub2h/0ykw9exSv4mdjXGuZiB83SqvYpj+P3hrWqiy630U4Cs+RtvoVtBY77QZejC2xOwAqvUDfhQb2POCkWnC3alvmbcSnKFxoXU4tChglCX4ybBGBv2Qd4+uqYoZZQrkzJokUY1suxv8FSvYunIZYDJZfv9/baA0j/+huMPVGKTz6G4yujd87gtC87ipIKiJ7jEAfEoEoNb96RElF7JCpWONT0LMbb/V4GtRdMHgOo6rfhtCQRlQMLPaYOdlQz4PtOjE7vD3qqDj8UanEZrZWsIy4NAmt5wx7X36FiqDrmTD0MXTbHw144DRGcrs+xcq5OfQcGsPAyP1IXy4INMwA2RyJOOgm/N89j3JgORp7AmJHLZJai+x140zbgCt2MteON2HSCexNd/P4ihoemGWhpMpPTolMSU0oS26P4KvK3QBsydAzuO8y2he/g7o+j7rEmXy+N5F3Xz6JfPvVzLjiSlTeNDwRdvKiduISAkGxVAYjfq0Z/fGVmDt/RHWOBW1ICXUuH8EaI+Lg+Sil6chfLgDFj1fSIAgCozqNQTi4AiH1Euqd9aR99gIAKRNnEVv0NcLuwJYgiyGEoNmL2LniJRyFWdiTe/1H7oP/NqWeRvKiwWTRUl/rxuOWkX1++o5L4L6xK3krsyO03EKMmyIO1ccRMWwlYep8vEHtqE2Yh/nUCiyFm3BEjaQi5WYWLFLjaqznk5uugxObCesykJzt/6AmN62pL2dZQCaaPHIaseVbEI8EgsWpjqzi2r6zcA28k8rsDAidSPuBE5DdTnx6A5p53+DP3Q8GG2L7AWikICStHtndctqlVqsQxz9MbuhmHMIRGvw1DLz9JRpqqzn6wRP4z3upY4dcis/tQqXVExYdRGK3MDKPN+fsllQi0Qn/XJXlbXAiexrQmm1NCo82/veIooRSdZKOvTpy+nCzWlGSBKLVmcg7X0OZtwyVzoivsaW3VDj/DPbU15B/aBspg4cih80k/eMlKOedG6JaS2r/gbD8MhRAGHJr4NmYsQnCknCOnsBp+wtorDaSb3kSXWEVfiGWb3eEULm3ec5QmFfL8cEyA4dEsP6Z/U1e7e8+OMzfNvbm3e1+JsTWs/LetdTXurly8SQe3S1R3xCot+lgI0WVMkvusLJ2p4vvjzZy3QQTV4+V6BqroiHzLDvP+dkilXJrVCJhnub3zjOrahneXcczc62M7KmjV1KbQdzGz/NLjGKLIAjTLlAuAL88PO3vCLVWhT3KRE2Fi+GXdCS2o5XCc7Xkn60iuoOVwnPVSJJATrXEut1Opt8TyaX3DWP9kt14PTJjZqbSf7wFqnaiVChgT0L0e8GWgNBYQ/v27fFeNJuT36wkedKN+MszMYRFI9kiEYfdCZIat0ug5t4jGLQSkXf1QVMYMMYj09ZS0WUYDT4LTr/C7ZmHaTjviS1qSMCu1uGneTU4TrobrdDa0P05jJEdiRpyFUU7VwKgDQohrPsodj13fVOdrE0fMGrRaqwdUgAI6apm1LtmtJ4o3jzXMsLpbdFJGKQL32Y2tZYn4lKYlbGvqSxUraVe9rG0OAuAnLJctteW8133EUT9yfJo/hHwn9mKUx2CLujX78HRW6w01FXj1wUj1PzrgbaezkvntaIsxlnDWZrUC53Yli7sj0Jw+85ozTYkjY7ki24gd+fnVJ87gcoYgq3bRCI7dkRSSUgqDcHtO5ObU8aXexrJKVhOcoe+TBr4N8LdqwkpPseqBg/OTuOxWNs1TcylLhPoHOflgTe1vLpgK/W1bvqPjmHMmHpKj26msbqUyA5VbM4ZRPuen2C3uDmRLvL6bTmk9rNx94NWpM33txx0XQlCZCrSuIdQFAVEFZoQLcmz5qCr8RAapGIoyzij7s9DmxPZckzFgM5aHC4/jZ7AJO7gWR8lhRJRZh1FnkYazBJzp2YwYPQMeg8JJ31tI99+cgqAZa+eo9TdgQkvZKJW5yFgRlKMaOV2qOpCUGduAn0IeeuDKD2mZ/CrI6jIPoy+2yw0n98M5yW3SsJY6rRB3DppETH73kUpTUdInYbTHXg/CJKKqFAzwsmdzdfqqiI4dwMTrr8N0V+Doih/CqOn1NPAIs7x9hdT2ff6CXJPVHDjE8N5cNpnKArU5UWiiQjDQ7OBaK67jE/fLMMSJuF0hJI4sitPbDViMy9gaNKdNFSYUO/W4GoMLGpn1MfT1WRFFxxKZWbrgHCe+hpiY9shbn2tRblw5CNMHYZAYzlZmdnk7NtCz+sfx1txFlXqJFQpF6OUpSPUFWKM7Eb3GfdyZsNyUsdcgo4GVCHtMZjN+CU31ernMXv7kbNpPaWH9jLk9heJ7TmMnP2B3LN5O9fSYdQV6LoOwmIz8PCyqTw97ysyDhVjjzRx/5uTie/SUjqveN0o+QdRcnaD0Y47JJl9H71KXXEWHUbNJH7kDIyhbZkDfg/EDrmEsr1r+OuzPXn+gWOkHSwlJNzI/S8OILb6STxdL6ehsYxOs6/j5FtLmtr1mf0A0VFhJN2+EJ8xjKLcXJSyLPwNbhqqm1WB0d2HYDi1qumzf+dSCG6HOOkJGsI6UGBdhpcqvFIVR6KfQBMZR/YbD/HGwnRueKR53hnWyUqMJKGudHPHC2PZtjYDZ52HS+b3JjbYz239nLxy10bqa91EdbBiSmpH/ZaWPraT2V7KahRS49WkxmtQFAWny0f6xtN89vhG+k5NpNMDUSzOS+cfMaHMHmdkxabAQsChM27um2FuM4jb+Kf8EqN4G3Dxzxzb/ivG8rshO62c/ZtzmDynBx6vh25DQzCHGPn45b3MvGsAbz+2DXs7C2aLBq/PyfzXnDwwszt3f5aMUQsDrQdRfzQQIJCsyZ6ENP4h5I2LoSIgF+5gTyDqL69w5OuPiU2NRTB0Q0j7HHRm/NtextJ/Lnc8cilppwVeWfA9Cc9dhW3idPJjj+PW3kAu4wkRruXsjwLU3Jfp4e3O7xOm/xSvkE878QZs4hh8PjdV1QWoJDXWH00oL4SjTsXab5IYPflFVLgwhMaStfHZFnVkTyNlaXuajGIAfajIYNnGWt0gFuemU+/3cW9MMuN/FOTjQkwMiWBj6lA2VpcQpdHT0xjM5FO7WtTJcbs421DXZhT/l1H8Msq57dQHjUFv/vWBeERRQm8Ood6tYHIU/0ttVpXl8X5JDk/GpbC8NJe7Mo/yRnLvXz2WNv47BEXGM/zhj3AUnGXfkruaPBCnP/87ERUOMo5PYfCUzuiNBqqq83l7xQ3U1Qc8HqdOb6e8spDbLn0U1a7PcNi64zm0BX+H3ljad0JSBfQnOoOaPr3refhJNahD8BRtp+ibrUhaPYnjZ3P2m0VEj/0LRa6ebPquGINJg8GkZfp1NryVWeBrqXARh9+N//uXUIrOqxks0VjbvYctpRH1Jw9CacCY7Qp8POVVtkyfyeqtjSz9vFkBZNILVHoNzDd04hHPUb4KqWXS/X35+un97N1SyB3Pj2XLp6fQmzTMeyGJpEF+IjUzyfMvQRG8JAgPoeQFoyvNh/pyxPGP48/RMObRAxgOL8Um+yDueoS5L+IXEpA8jaAyklqbh7zxCSgL5B+VyzNRjCkEx6fiKs9H5WydVpCiY2iMVvwbHkCZvxkhrv9veAf8bzCpqtGLEtmxAl2f783QLC/Fh6ua9tM+ddUh/rb1PRzmT/AHn0BVMgFjw0hmvLgLb8zHqBQbkbKR4VN6knVG4mxFKHvSvXy6sfk31uj1xFz5AsWrHyC6/0QyN7zfYgyRXQcQJLTczvQDgqMQ43dP0rnvPCoj48j+7hPsV92LVF+C742rmu5JJbYf7actIdaugdW3gP+8B2/Ajcg9J6FV2mPLvozDe55BUfzUZh4kNagc04SZnNwQMGYaa5o9iMk9Ivj7pqupKKrDFKwjNKr1c105sxnfssuaPkvmaNp3ncvBtD2krX4Fb0Md3a9e2ELt0cb/BltULJbGo7DhFZ6/4Qqq7uiNMSISW8ZDCPGDqBEjyPpoNXHzRtNz0b0o1Vrsls4EHX0f5buA40Ol1hN32asgaRE3Pk5ivys5sjYQd0ZSqRF9jbTIOlaTj7fqGOkpbxPiGUdHz98p0r6LUe6FyTmR45XVBNsN+M8Hnxt4WUfqOusY4zZx7zXLkCSBHsPaExYdxJfLjtBlUBBmfR0FmdUMndkDf8+elHk0/FR4qtcKhAQJRFgVouwSOsnD+qe/Z8O6wN7/A19kcvltHVEscEIpY9bMcK4YGUZ1nZ/kGDW9k9sM4jb+Of/2U01RlOt+7pggCJf93LE/EsU5NUiiwNL7t/DWkfHkHGlk86pTdOwVyXuLdzBtfm8ih3Rhe46PrnFqTuV4+evbNagkOPFKI+pV81t2WHEWXNVNBjGAUJGF+txWuo2ciJ46smvCiPe5QfYEUkPsXkp0TyuPvmKgtrIBfdduHE98iEYhsOe3wP8mtcIBnu3wLH85Fygr9XqYctzD/p7P09toQhI0VFblsvHbR9h/aBUajYFJ4xbSv89V6PUXliObLFoqSn08cXtACjbuComBUa29hIrcWk6rl1RMskUy1GJHRiFY9c+DGRgkFSOCwxgRHFhVPF5fQ+MF9iBr27yD/3WUgiNgCMFRXUVYwoWjj/+7GCw2HHVOTK5qFNnXJOG6EG6/zF/PHefB2M601xm5LyaZeWcPsc9RSX+z7TcZTxv/eYJjO+GqKKTLpbcF9kQ2OMnc/CEVBz+jOrYHEbFBpAxOprwiq8kg/oGyiiwqysspKxXJ/2YJolpLwpBJJPQfi2iOQB+biqTW4HXWUvJ9y1AXit+PpNYRPvKvlFRasUR4ueSKUEqzyxlzyQhExyEkUYfY52r8e94ONNIGgSA2G8QAtYX4dnyCqcsAlPMG8Q9ov32EQdcO4sOGlvfjHdPMLPrQwfUXB5OUZGJbQxUdL4vmxTHTkCtFhOJgHn9pFhFjcqlIuIEQ6S5OyefzDitwhgfoEr0U494NiJctRfG5GHzpuyh5+1BObwzUy9xC46Q1bHqkIx2m+OgwJA+T3o844THwNkLhEepUIexfeg9D/rqMooPf4bMGt9rKInaeiBLaESk0CTl7J+KfwCg2qI/zSpKVow4PvRr0PDt9DZff2hdJEpBlhbICB38ZcZA5D80mLNWMZDaiTfiKAunxQAcCOFT7SAx7mLjgHAxH7uav7zT3nxCloqpO4cu6zozv1I+IbgMRRJGszStR602kXjwHm0FG0ESh2BIQKrOa2godhqAUBZRf6sPvkzTgAU5s/Aw0JuT1D7ZYpBHy9iNW5yJ/fX+TQQzg3/sOSsokDF9M4Mi6F1DO759WFD9S7k6i+vci/bzc3xge1+K7CQrWERR84WjTiqsa3/qFLcoERyEhegVBEFEUP1mbPiR50o1t3uLfA2WnIXMrAMYzqzCyCiQ1woh78W99Fia/S+XJw5g+DiNl2AjUJbuRdFbkwyub+/A24N/8NNLlS6HiLJFRZ5Evu5mzW9dQW1aIf9JNCF/c1VxflHAlhOHgMA7NYeJZgIme1Io7KAlaRp8H+jHp6pc4ehbmbZiKvoMJZ6GL3JxA2jdZVjj0XU5Td1WFPoxGKx17RxAyuBsPrfYxsZ+bKYMMrNvdbBg/OCuI43tnUlh4CFuvG9j9aTx71jUrzgQBurkNnL7nGHlSDiPuG0SvkRZ0+p8kKG+jjf+D33qp7yVg9W/c538dW4QJULjh0WG8eOMxrrynL2kHinjyvsvIzajkg7/t5uJ2SSz53M0tU4OYPtyIT1bQaQTMpoNNcrYfo7idYE9E6nUliuxFkNRQloklPBp/3iH2RWvxaceReORDhNj+KKc3Elq8hv4j7kUbZEKyFjYZxD9QpxxmWpjMqrJgDtfXYJJU/C2+G0l6M9L5tNH7D33EvoOBB6DbXc/aLx8gOiIFm2TFVV6APiQCS7tkVDojEHhh3v3yeO6auBJ3g48dX+dxybI5OD59oOm8oqQmtOvAn/3+glS//CGUqDcxL7IDbxY3y7AvsUXRSf/nShnyR8B/5luE6B7Un0snrvew36RPnTmY+soy0AdDXTEEt/vZuqvK8onXGelsCOzKMEgqZoXF8mjuKTak/jbjaeM/j7O8gIx1b1KRHtgmobeGk3LFPWRuXEFNpZfi7GpSBoNO1/p/XBQlBJ2d/MPbkLR6hs2+G8vBJbDydbBEI099BYcpHldVMSkz7sPv9SBIKhwFZ9Bbw/CZ+/DY3D246ouAUySlWll8bx0RX15O0eQPEKuKwONCHHkfSuZ30K4vXEDFYKo9Ckq/1hfndmCpz2JuLx3j+oVSUOHHoBVYt9tFXpnMJ5sb+bx/e1x6NRGlaZiP3EeB/jW+e1BF2KAgPLNXoCUMh/9wq66LNB8Rak5C/vwu0AcjXfYqQkg7FGss/n3vgl9GfeZdTDGD0QoVNJTLGOJNiI5cMIfjd5Sg6TuFgXf1QqPSoBWuwZ9QjTzuNqQtb4HsQUgajZA8GmoKUCQtYkgccv5hxJief2gZtUowE2Kax1TNJgq31lJd7mLDyhNc//AwVjy7C3eDD3ejj+B4C6vDXAzTV+GWXv9JL348SjnF0hp6xA9hxYKxnMxVkESBWqefFz9zEGWXuO7hWxDKjtDFc4TE6TMQBAGtro46wUx5djYhQx7EUnkUIXsHQvv+oDXh/+6F86fwIYoi0QMm4sg+ir78bKtrwe0AV1WrYn9lKZTWMfiKGxAUP1W1Tuy2EHDXo6k5hymyA50vuQVJq6fgwCbUehPG0HaIkoQuJBzxJwvNss8LbmdgAf8niHIjgqRC8XnQmIIR1W3Re38pfr+Mq7wAFDCERv8qj7vivUAYH9kLoohiS0JljSZl5gLiw02oMzYHUr/JXsT+N+DfvywQYwGgMgucgYCsmuMfk9B1Cu2mXYFQchyV3gwTH8ef9jWKyYZr6GjSo95sOl0BbxMuXNaU1aRetZ9g/0kSNBNJjy0nUlTxxq07uObRoa2GGhZjxu0UWPfWQeY8MJRn96gBD9/sb2DaUAOL5gQjCtAjXoXVX4m38Xb6ddZhNsXyecaGFn1NmtOdz57cw4k9gSCe927L45UNV9FvbIdf/P228f8fv7VR/Md9i/6IhNQwzhwrJiTUiE/2IgadYer8JI7tyKPPqDhGX94ZTaQORXG1kMwlxUhMHH8c84DLkXY178NApUUITULqPQt581OBFV9RhTT5GeR1C6ib+Dib3VUscmvYMGIB7QoPIvWcQWNtJX3tnck8VYlLG3eBkQoYPArrk3qTBwRJKuJ1xqbJjNNVzYFDn7RoYQuJx3MmnW9XPNVUljrrfpImXY9KHZCX9Bgay/sH5pJ3phJTsJb4TkZC29nI2vQBumA7CWOvJqRD6q/6jhVF4YSzlhPOWnSiRE9TMB30JgySioWxnRkdHMbh+mpSDBYGWWwEt72E/+soZ7cixw3F7Trwq9Mx/YDebKWuvBhMoSi1xQjB7Th9uJi3Hv2e6jInk67tzmU390EQBN4szuJSW0tvxJjgcFaW5XLSWdsWfO13Tl1xNnUluTRUFjUZxAAN1aVUZR4jZsIDvHRNGqOv6IaiKOjc0Df1cg6c+EdT3bH9rkVTFfAedxp5KZY9f4Pa85HLawth1TV4JizBEBLBwTf/iuwJxFOI6DGCzt1TcTdmYbFpcdV7ADh7oprjZZ2JUGkxGzRUO0z4zx6E+tKAwZJ/EKHzxFbX4htyH+r6XJTzaaB+QEy9FGXX33E6bqPcNoCnPm328oki3H9RPe2rjyDmlaAoCv6CA4hJgciC9n4eJL0aNXZUgpmWGkXQ+IJQ8vYFJrn15fi/fQZC4lCKTyKNfQh54yKQdAyauwvt1mthRx1KRjJc8hI01oCrEs3mhYT3uwFv5Tmiw6uR67pxZnAZ9m73EVY3ANFRhfyPW8F1PkOBSos06UkU2Y0Q9/MLn793zEIqVnEALvVDBOkfBiD/bBVfLjvKlXf2R5REuo9uz+XaU8jlCgvMjeTag0H4IVWcQBC90JGAgkyJ2Ueey8viD1sGK+oYo0Ll92At2Ylw+hu0p78BAj+lNOoxRCmSugY/lYljie0+E9Xa+VDUHKxT7nIJLkWHxiiStnEV4f0ug/3vtrwYlQ5sHaDyR/E6RAnFHEmKdBZhe6C+NaQDUuw8/ICq4ygGjx9JY00ZWxdOxecOGE+hXQYQFNkBldZA4sQ5+L0eXFWl6DQijUWncdQ6aN/vBoQtT7U4l0sVgt8X+B/qMfsh9H+yFF7/LRprysnctIKMdW+CopB80Q0kTbz+ggFO/xWEsI5gPJ8O6YeyuEEolXmUdr2RfU9dR/sB41Cb4lFK0vAfOu8hDu2IOOYB/JufDLRp3x9+ZGCLXSejXn0bmMJQ9Eb8h1chxA/GMXkKRy33AAoaQtHTGWhApuX/hRyUS8nxcl6Z+BFmq46Lb+jJluUnmHZbH9YsOQgEcsLftnQcYriW79dkUFPuImX6JDYfDtxna3a4WLPDxS0TtYxL9HLb0BVN/U+4OoWLr+9BaV4tBVnVJKSEERFnYdeXLReVvlp2tMkoLq/xcfyct0lOnRKvRhT/FCZLG78hv7VRrPzzKr9/XE4PjU4vLqfMRXPD+Hr7XNp3HEZi5FU0lrXnxTs2MeEWPwM7JrHndEDqK4mweL6ByqAXKBk6i3D9XFQHvkGwxiIOvRVFVKNkbEaa9EQgeEtDDfK2l3Be/gZfmGJILy/iiQ7d2K8oHO90CRnOWjaqy+lulknGTNb+RoJHjaVG2tw0ztCGaRx99QVERUOv6x/HHJ3Y4jo0GgPRUSlUVmU3lQ3uOp30VS+0qHdi1bNEdB+GNa5ZIhvX2U5cZ3vT5+Dw8UT3GYsg/pIsXq3ZW1fJ+OM7cJ9fqWyv1fNVylCSDUGEa3RMtUcz1d4mz/pfochelPyD1CdOxRBs/81+d705hPLsDISEEHAUc/j7HB6Y/hmTZnen98g41rx+iKwTZUx9fih5jS76BLXMf6sRRSaGRPJ6URZLk/4ckXL/jFScPsT2p2ejNgQRnjK41fGa3DROVU3kqrt7ktQjCkfBGY6/9zgxoeF0ueQVXA3l2EUVMcHReGpqEUQJS7AZTv0klZe3AY3eyLHVbzUZxAAlR78nIaUbobsWcNOd7/HYPc05Z4sKfWA2oz+zjvoeN+JJTkGz8SGUjI1gbY87smy5PoYAACAASURBVD/u1HkYTwW8sfLA2xHPbsR/ej3SpMX4T6xFqcxB7HZpwDg5uY6YASGIJjUdIn20s3q5e1gxfSPLsHly8K97HtlZgdBpAuLAuYRo8oi5P46jVzTyecbVDLVomRhiQKX9Gh8Bj6CAipjyIZC/tmncSuFRxJSpgfRNdSVgS4Du16D97FKaNsuWn8H/9YMIoUkoZ74NtMvZi2baq6jOrMOXuZF2+ocpdR0g2ALavAPNBjGAz43/7BaoLUKI6YPwK1Q//0s0QiidVC9QJ50ip6OJToOiydhdSEluLcuf2cVVCwZQHO6mrNzNHIsV24bHEa5fwEnjXLRKV6qdi3i9WIUfkdkRH1Iv6CiLrKJTnJGMnICMWacRWDhdhUWpRMzb3XxySY0Q1Q1NQyU5h/YQnjqE0JBQzlSeouPk55GOfIRQeAR/yqV44oagddSR+e5jeOpq8Ha9H42zDCXtK9AFIw65Bf/uN5CG3Iq8YwlUZYPeijDjPbTIED8IoetF+E9vhjPfBgzu4feg6jQWQW1m35K7mgxigPK0vYSnDObkpy+goFCVdYyBl16D6quHMFSexRrZDc/IhWjGPoJwcDmCOQJhzEJkh59uVy8kJKE7IQndf/PfS/H78ThrUelNSH/Qe+5fofTETtJW/73pc8YXrxMUlUj8iMt/to3P3UB9aS6+hnp0llBMEe2bjom2eFRzv0L+9hmUvP2IicPB1gGXWyF9xwZEtQatKRg0BsSUi1E6jQfFj3/fe+AoBWssgtaEOP5R5P3LEdoPROx9FYo1NqAkMdlRHCXgbUA58y1S1SVozBEIvpvZUZXKpiqBkcFBjLKdBM3H/GACaOq6czwtsGXAUd2IRqti9/pMhkxO5oktM0grraYhUs1cTRZJkomxd/Zi8yuHWfw3iQ+2ilTUBuaFdovIlBF69mS0VElu+PAksUl21r17hLAYM/s2ZjH80k5YbPoW6alUapHyMhfF9RLbjzXy9EcOSqtlVBJ8+WQ4Y/u0xalpoyX/tlEsCMIJLmz8CsD/HVXpD8LRbblo9WqCY0NxNWShKH5yCr4np+B7xkx5m4c+uZTcY+XcMcLM+CIFr09BqxE4V+plROMb5JnvoHiUnX7J76Bsex35w2sQZy1HHHwTSu5+8DgRIrogjn+UM243u0Qnx5y1fFNVwnR7NO+X5vJlVUDCt4dKEjobeK42li7512ALGYXHmI9YGkLV9zlUnAhMfE5++iL9bn0JlaY5mICzVmZgr1s4ffZ73O6AR9ukNlPp/UnqJEXB7Wgtz/opv5Vh1CjLPJ2X0WQQA+S6G9heW06yoU0m/XtAKT4BQeE4qqsxBtv/eYN/EV1QMK7qcjB0piK7gIXzMrn2gSF06hUJQFwnOy/dtZHM12HYRaFIF5BwjrdGcOvZwzzfoTt6qW2v+e8Nj9PB0fcX4WuoR3Y3YAyLbVUnvMdYElJTCAv1cnrtCxQf3kJwXAoRXQcTUbAf9YG3A4aepEbd9zoG3vYicmU2/MRTCyCaw3EUZrY6R2OjF3xubAZHi/LUriLkKVQkTeZNReal8mquGvk4U1QiQ4IsHDys8MlrXZk+cwUqSaE608gUZQHUlyOv+wtC4kjEpJEogohy9DN8feewrrwTz79Rz+s3q5nGCvQ7nwbArw1CGv8o8oZHUDI2IExajCE5juKUUnIchbzkyic04yB1kanEJn+Ew7YVr18i1NcP44dzW4xbiO0f8ArpLKC3okx/E7mkGlFp+TpWio4hdL0YIX4wuKpQStPxH1iOOORWpI9vQF1VwomXXke+6Ho6qS8QCKquFIJjceSnY4zp2KQg+qOhEezYhOFs0ucR9kwqPdM6UX2mltDedvKSIJpiBKBY9uMx2bGufJluM1ZyVGrHFafONk1y1lfB0sQefO49w6LrB3EmU0H2K6gkgaM5Hnr0seOLGYSqNANf70k4Rg2mxLwHvSIQlzABb7aCLIOmooYTacdprG2k/bRn+WDtvXD4E/p2HEvq/EcRGwSE6nPQUI00a3nAs7f3XagrQc4/iDhhEV57ZxRjKJqGUvyr70QaPB+l8hxCWCfE1EuQT36BaspziCY7jZXF1OZltPpefG4XgiiRu+0fDJn3GKrVc6Ex8D8iFB9H+81fyO92J+1v3oJktCJoTfya5WnFLwck2TozwgXijNQVnSNry0cU7t+ArWMfOk2eR3Bclwv09K/jrykIGHWWdr+rhZ383V+2KsvdvvqCRrHibUSuzKG+spRj697DVZpHVN/xRPcdh61dBxAkBF1QYKvD1SugsRZfdTFC6XF0Xi9DUrLxDhmA25oEVYcCiyoAWhPS+Mfwn/oS6eqVKI11yF8sQLh2GaLfg1JVgF9jRpi2FGXTY0gpU5HT1wNwzmGitn4VrxVVs7UmMGfc46hkfWUEL3W+CaTvifX8hfxzUaxZ/nnTtdijjfQZ045Ln+jDdFcaFVEBbzBeKPa6uWh8PLwCOTV5rHwokd0nffj9Cj4ZXv7Cxe2T2/NTvB6Z+lo39bUBJdHgiUl894/mtGgqtciAWX257TUHa3Y1Yg0Suf0SM1/vc3HwtIdbX6lk95II7Ja2gHFtNPNL7obJv/kofmec2leIpBEJiUsguVMKu9PUyLIXlUrLkZ2LSZm0kmBfLLOfq8b7oxhUkgiPR3dDCX+XZIMW39FPUHcYhF9QEHRm5A+vAvf5aNGCgDTlBWIjurMqNyCL2l9XyZSQyCaD+AeyPC7c8Xo85SYMZTa0+mT2vnoHvh9Fni48sBF3bTmq0BgAaipdvHrfZnasO8M1j/wdvb2Sdh3CSIrtTKllOY21zQFtVFoDxvPt/hs0KjLZP8mZB5Dn/lOkuf5ToOQdRAjriKO0AL0l5J83+BfRGEx43Q3IahMvPV9O/3E9mgxiCEQSvuavg3jqLxuZMX7KBfsIVWvpaAhiXWURM8J+fk9yG/8bvC4H1bmBgFSKX6Y2/zRxwy+ncP9GYgZehCW2M+HdhqAzW9nxzByqMgNBrZxl+QSHhqPO39Ds+ZS9CHvfIniIiVw5Ev/4JxC/uq/pXOLYhehMFqJ7DCP/wOYW4zAZtSCp0YVFMfU6A916qmjfMZToMHB1X0qOLZ7nCwLG9IraGlYAU9ExMj4IyWrgsXsD3uX2yVYmPTEOVcVZUPwoZ7cE5LEXPYVn0HzyQ6fwzD0BQz2OjCaDGAB3HfLOpYjdp+M/sBxK0uD4Wq6IG4jkbUTaF4jeZAX8HYaybuyT9LJEkb3qGXr2vArl++fAL4MlBrHfHOQ1t4FfRjnzLULhMXTD726VhV7oNQvBYEURVQgRXRH7zcGftQPFG/Cki0qgRfrGD0i6axHCoZUt23cch0vRsXXRLPre8gIx/cb/2/fA74WqugZya+p42Z+HprNISKqGMm8eYV4d/coLeNjWiacqKzgz8BZSVs7EuvwhPh3/MgqgFgSiNXpKvI1sqC5keVQPxsyvocHdvAghCDAo3EvnrpMRgsOoGGbmjPqJ80e3oOpioUvkMvY++lcaq8uwd+pL0qU3sXTlHMb1mkEvtwPDsVWQswP34LsRStNRzu1EzjuANP4RxIShgdRayeNoDIpl/eNzGTx/MaHbFyINvwt5w2PNgblECWnmewjGQNA3rcVGTL8J5GwPhHkJ7z4Me1IvTJEdiOozlvribFSN5U0GcRPVeZjUCoo+YBD/GpSy08i73sCf9hVC3ECkkfchRnVrOu5x1XHonYWUnQp42p1l+ZSd3MXoxZ9j/BeUYoqioBQdQyk8dt5D3x2l4BDyugXgdiD2uw5x1ALEkNZG1f+C4PgUig5vaVEWktja8+6vyMKftR1q8jEJAgMnXcLutatwFaRhjDLi/fw6BLUOaexDCMljEDT6gNS54ATC6c1w5BPUgBowxA9uGbvDXY+8cwnimAdRsnehHFwRUCI4HHh2voY3ZjSOxD4cixzAkGvWICKju9iEsuUZ0AaR5tQ1GcQ/cNRZj8d1HVFmkTzNM6j69eHRzyfw5PSTXHRjIk7jSjpemoUxqAsVtZ5W12tqb2L+kyMJl008vKyW/WneFsenD2yZS1tvVNOhUxhGsxaNTsVVc4dhEoOYt3gkpYUOtDoV7ZLsrNwHq3cGnntVDj+LVtSw+PpgDp72kF3io86lYG/bhdXGj/gl0adz/3mtPzaJ3cL57NX9uPXdmB0fycjpb+EUVWSrzehEkWhbECV1Bry+lkac7AdnncCzDdUsaGdnclQK8j9uD0SbzDvQbBADKAr+Ix+TG9ULtSiwxGAlOTcdVdoBPk/swcsaLd83NtdXybXsWzIXRfaht0WScsU9HPvwqaYUJ+boJNT65hdY1vFS1q8I7F167Z7ABNUWUc/7B0Yy6N432Lf0bpyleehDIuh3ywuYIuL+Q99ma4JVGq6PiOf+7BMtykdYftm+mjZ+e/z5BxFsCdSey8AW1/E361cQBPRBVg6cDuLEKYWHHkxpVUeO0dHQ00j+0jP0eubC98RwSygfluW2GcW/Q7QWGxE9RlB8KKBiKdj7NeE9RtBn/rMc+/Apsrd+TGiX/qTM+AuNNeV0nX5PcyRyvxfsSVDdUi4nRaUQVVUCDQ2Isz8BjxPR3gFsCSgfXUvnlNE01DuoSN+HSmek20XXYD73NcrUV4kO0tI79EOqt5/g1HZoGDSRzoNGUnveg2RVqblI1w5ZUPi6Jp+/JCikvtKDivQeqOtcWDpmUtcuDktpX8TsAwFLqN91lCihVFWUcaBWzw/iqRDlAimPqrKh5xWBv62xcHwNus4T8O9a2qKaeG4HE7w11ORUEBwbQ5nKTsjstWj8LlBpkD+4KmAg/0DGNzBoHmKvWfgPfxQoC4pEiO6B/MW98MOo0tcjzVwGpelgtCMbIwLHfF72rf+cATOXU1WTR61fxmxPwOL1cnbvTrwNdRxb+SShnfqiNf92C2P/TY7sziNIdkMQeBQ/JecXBq60R5Enh9DLYGKrNQKHpwH3rE8QKrNRS2puNgYzsaoEKeMgSkxHKmwReNw5NLgjW/SvKFBeUk23Y3/DO/5mstUPtjjuoxaX+jSN1YF8yBUZB+jgnsPIITczsCYPaf+yQMX6crRr5iJethT/HsDnRv56IUJEF5ReV1Omjae+sAxjRHuMBj2odCil6S3Tifll/Ef/gS9xHNqgECSVhuSLb8JVVYKlXTKmyATcjnLqi88RktCduOHTcRUfx/DTL03SYGqf0mI+8UtQXDX4Pp0fyHcMKNV5+M7tRHXbNkRr4LntLM1tMoh/oLG6jLrCrH/NKM7dh++Ncc3fgykUafAt0BAIFubf+w4YQxEmPPq7CBzXbuBFnPvuYxqrApGYtRY7sUMuaVFH8XlQcvbi//rB5gBraj0DrvwAd2Ea0teBRUEF8L1/OaqbvkFIGgWAqNbgP/ppy5Nm70IY93DLsqqcQLBXrwt/SRrymtuQr1nNztN1eI9+QMJYhe62KBxAjdeJ2d4LacLrCIcPMMZW+P/YO8/4KMr1/X9ntvdN740kJCEhBAi9gyCgomIviHo8igp2VOwV7A3bsdej5wiiIAKKKFV6JxDSSO9tN9t3Z/4vFhNi0N/5HJGj/vm+SmZnZmdmZ555rue57+smPL43tznbcEtd0X4usZwK+WhNbksRhkk/8vyaN2hprWDNls+5dNoCEvcv4ayk01nW3pWyoRIE3Ltaefve75n9+nQKynrO7DfYZAaMT2LnmnISe4cx69FxtL0Sxd1/vwLZJyA2aAhMtBPWK4pkcwI131Zz6JCNpYdCeuzL7pJRiHDmUB3RoacizU7Rnf8mfNrOL4dPy7Ism3/zUf2PiU6y0CsnEkOKgKvYRuvAPOaU7MYvBx/kS11GzpZDCDW7abF1NQpmg0BUhMQIXyg3yxb8xiRUmZORq3YgJB7HudTnpEwWWWCwEv7qXGx6I2FpeahXvMvdY89nt8FEm99HP50J/bbluI8KYFdzLUfWLiZu0CSqNn+NQqWh/1UPoTZaO3fd1thz1rW5roOOdg/JWflMeHQJ7rZGNKZQdKG/f9S7LMsc3FHL7nXlKJQi46elcFdCBgurizErVMxPyWGw6c/Z8fpLUrMXIf8KbA1rSOzfMyf0t6AxWnjnXxYmDapDre3ZBK1vayTx7CR2PXiI8bcOwBTVo9vGCHM4r9aW0OzzEPYnDe/8q6JU68i95C5cLXW0le1HVGlIHj2dLS/djBQIzgA0Fmxh9/sP0++K+9ny0k2dJj6RfUeQeP49aMp/BG+wDRNyzkHZcADDD8+CICKFp6EYNQe5encwzzZ1DCprb4q9mcSNuZyUdBMdDQ3sjehPBHr8lcXEDpyI19GOo76C0k0rCB0wiUi3mzN08eRUJvHPxX4UItx+UTwRTQdJ6FiO3FdDhz6K7WGz2YdAzBXTiGiZjKQQUGgGU/vlWixxaSSonUAwN61D2zNUXIjKgpbyoIFXRwP4j+Y+yz1fo6Gil6jNT0PFFlBqEMfdhqwyIkdm9AgbB8DrDJbhOf1BZL8HorKQlt/bc53mUmRXO4rxd+KoOkjc4Mnow2PpqC3noCDy0Zrn8fqcqJRazh43j/ai4IClt72FwM/qOP+Z2LKqlMIt1Tz5zGAWilU0+T1cGpGISlRyV20NAC/Fp/O3w8toN6bz/Tsvcdm893Fv/pqWtV2Gb9H9RhE2cxoxYfHUNncNTOg0AqmWVvzJ10JbU4/vB/A6u2ZiFSoNbp2I1S6g2PFR9xX9HrySiCLvEoTdQaNOSZJocCj48R+3YknqQ9+L5lJ1YCO9w1I7n49jkV3ttJbsJTpvLADO5hqSRk9HbbCw7bU78HYEw+VNsalkX3gbzfWNWAZejWrHO6ALwTnoejpMqYguUNpaftNgiNxc0imIO2mvRm48DEdFsahSI4iKYIj1MYj/QZsu+30E1j7ffWCgoxHZ2QL60E5BKW3/EMWoG8H4vzcHsyRkMP6hRbRXHEKWZayJmd1yhAHkjkbk8s3dHcd9LhQN+9AVr+ixT0/NYew+PX63E6smgPI47Yp8TKoaAFFZyMjIuz/7aQX8pT/SXlmI5POw54NH6TP9Joq++YDMM69FRsWml2/u3DzCGsmC65/iVnvwGEeYrFi0S7tVFvYIR/B6CjFp+zH72jeI/PIpxOg+zDcbMMoBPrO3k6o2MNsTy+aF25h6wzAadWGcNkDki43d7+24WIHN81N4xD6U3YuLaW1woJ/SSpgxHG2EQLWjhsXzt6PRq5kycwDFxXbkgERarJJdxd1nnXVqgfEDtDx+TQg6zYlJCTzFX4f/Zqb4L5/0qTdpkGWZkYMFdokiXzZV4T/a0BgVSpIqY7nm3XYeuMLK84vaqWwIEBeu4JU724jp/TQXVt+Kq74ae80B4gURxfBZEJ0NgthlgQ8Iw68n3dVClKwlcPk8Al4Pxas+QB8WQ3TAz5MRCdR73IwXRMqWv9XtGNuOHCDr3BuxJGYR038sISnd3aDj00MRRQFJ6mog+41MICIuOGahtYSjtfz3uaJVHicb2pvYbm9liCmUEZZwYjW/bFqwf3MVN4z7AL8veP7ae1W8sfEqrh3YC5UoEqU+ft3EU5x8ZElCbijEZ4jG67SjPWaw5URQ3RxLQ7NI/tjS436+rr2RybHR1I+JY/1re5j6UE8XXJ1CQb4xhC+aavhbTMoJPb5T/HYsCb0Zc9/H2GtKsFUX42ys7hTEP9Fauo+OuiOdghigYd9GGodNI2n2OmgsRFDpkM2xBF4aiZg/AyE0BTngBWcLUtUO5P1LQWPCfd5iOhwuNq3t4Ok7N5M7NILzph1i++fvACCICnIuuoPDX7+Np72JI6X7UKTkcmaZlWtfCUbkXDRCJqq1FleYFv+mL5EGzCBgMtKr5UncUYepNX9IbcyXmAJ9iXZPZ83Y81BIAqNVFl6/UWbZFh9Z6SYk1eOIqx8JdtYt8QQmPkzA70O9+4OgwQ0g1+wNRhCVbug8dzkkEZXBipgwEKnhILhtSN8uQLhyMU51BPr8mYihichyAOwNyM1lEPAhJg4isOkf0HgYcfgsOG5NdwHKtxBoKkae8iqOxm+o37uejKvv5f0lt+E96jzr87tZsuZxLhl/J2Wfvkzq6Vegs/55rUJCow0c3lxLzRkruW5Of4bMHsBmVxvlHicLUvryXt0R7q0tY1LaBBKqtzNy9lPYq4vZdYwgBmjcs5442wA+vkfBNc9AaW2A6FAFq25vwHNwD2u+Wos5KoF04/MUpd2K76hhmgIzUqWKXuMvRhsSiTYhlU9W3Ev/1FHB/PD26m7f426qxBZzGkpTNgoRCElh8yt3AtBeXoC99giHf/iS6Jm3EKLywp7ux+nLvZiibz/GkpSNs6WWohXvojJYQPJ3CmIg+FxWHqbPhXfiaalEkX0m7W6Zja/e1ZmWFTNgAvnXLkAX8l/+/kptjz4PgKDq6icYo5LpfcY1FC7rKvETlTsac3z6/71/yQfNZT2XO5qCefdHRaUQmQFqw393Dr8DxqhEjFE9B89+QlAbkB3NPT9orUTWhXUr8eLtdxl7t26lavsCkkadS6NWS0byKMQj6zvXkUOSITYPlJqjbVIcismPEFjxADR0GRAGlDpkf1cbXb1tFZFZQ9j36VP0v/qRbofibmtgZFsT54RGMEYMMCFMT6XiA35OUlooHU4dYd+/CiHJ2FIvxbxvF08lZDEnZggVBa24EzXoX85B1FtoL5HJz1DT2B5g434Peq3A3ZeaUZpt5NsN2KIV9BubTGWFk1XL1pE3KomPbt7E3FencO9b0zjYpGL+x22UtmZx5SQ9L+TpmHRnAx5fsB88PFvDmcN03HK+CaPu1CzxKXpyKsP8eAgymQNj2SW0strbQp23ayRyhD6Cld8EaOuQeODdVt69MwSnFw5XBvj2R7g+9AlcdbsIuB0c2rCKyNGDUH3zKISnozjneaR9XyK72gj0vwxHSDYh1UewtdZz8ItXUelNZJ19PQVLXqalZA8Tb3yebQtvImLmA5T9bPTPFJeG5PNy4N/PEt1vdI/QoNScSOZ/dj5PXv81rQ0OckfEM/flqRjMv31Wrd3n47bDu/myLZj7vBC4NCyBhRn9MSp6hr7IssziV7d3CmIAt9PHN//cx41PnPabj+cUJ5jWctCasLe3oQ+JOGEGaz+xZlMcA3LtKNw962FWe1w0+7wka4yEn5nC0rs2ctrcfNSGnvfVCHM4nzVVnhLFf1A0RiuqyBisSg9NbWE9PlfpzXjae86ueWzNEJ6OaIlDrjsAjUWI019ELtmA9E1X50wcdAUkDKRN25fvvvWw7stCDGYN1zw4hoSoZuqXP9q5riwFUBss9LtsHj5XB7qoZN51tLH2m2Bn+eWZdpIPP45t2Y/sFxWoZszDXlhI0ZqnADBEJdD31hcImHcSKk8hp6iY69TZlGzS8d4uiemj1bxxZT2t5YU0eSyo8uehVsioYvuw/rm7sMalMbRfIj/dxfKBZcFQ2ZR8xP2rkHoNRhpyAYqPbkDytKOY9ACBbx8HVyv+5mqkCAuCQkXgm6PnFJaKYuqjSIXfQXQOYtrYYIh2dA5E9oEvbuq6oFozgs+JdGQTjklP8ePC2wkcNVtsa63sNGH8iUDAi1ctkn3+rSSPv/CEP/8nk8GTUvnima20N7sw9w1hetEWOo5GXAnAUym5zCvbh1NlwhuSjkYZilN5/BlFtbc3tY0il07QEmYWGZXhx/XDB5SuCxoKORoqaTi8i5EPvEB1wpvovXGESefjCNgpPbiUjtoyEi+6gabmUjY4mhk7+QHUn9/YuX85vDeNrU782iYOfBY0RcqaPqfbLKos+fB7nKz78CX6T7+W2AvfRtj2Dvg8yMNmsX/TBpJHncO+T5+itXQvcYOnEJ4xgN0fdD0LKoOZ3lOvQW0Opbl4F96ONiS/F2dzXTefktqd39FSspe4/In/1bUXItIQR9+EtPaFrmV9zkCIzOz8X6FSk3HWdYRnDqK5aBeWhAzCMweh/Q9mqAW1HnH4dQQW3dB9ecJA2Hm0JKZKh2LSfQjqntFGf1QEvTVomrZ3cbflUkwuZJ8NRd8Gy3oC7SF9qfoqeH31YbEc+vI1LJfcRHT8QBRFq5ASh+LLPo+quiaUQx9AJUgYMkYi1+1H39hlwiaHJNHslLvNKKuMFnxHU/iOvS9+wthWxUc7n0FuPQJnPYbGcieSRkSWA/ix4fAWI5XVoU1OQjxyANeMZ6lyOtiwNY7vbt3F9fNDqUiHO21HS5Q5KokJ03K5ZwAhJpH7LrfQJ1mJUF3MKyNWYrRoGLjoGt495ObAER9nzexFVFgHRssODu2oIzQ3lckP1eM9qusfeN/GnR7Y8nIkB8oDWIwi/VLVxISdkj2n+GVO+t0hCMJk4EVAAbwly/ITP/v8SuBp4Kch1JdlWe4+Tfo7o9Opaa3vYKnLw3ZHK3+P7sUBp40LIuIZb4piabgCCn2MzNHy+jIn3+3sKgUyuXcH6bQiiApMMSnsK6on9+IPoXY/HW022mOnUntoB/qKVmybXqduzw/oQqLInHYdBYtf4sDiF+k1/hIKl/2D9rJ9xAyYgLutid5nXsvhr94Agi+11NMuo2bnGsIzh6A5TtixUqVgzDmZZOXH4rR7iIgznxBBDLCzoalTEP/EP5srmd2RxsDjmDJJkkxzXc9GtaW+p9nWKf73yA2FCCFJ2Oqr0J9A52mAslI/tfU6xgypBa8DWfIjiF3N0Nr2BvoaLYgCmKMNRGeFsntxEYOv6OlGOtgUygvVh2nze7Eex9X0FP9bpLJN+D+8DGw1mHPOJ2nEWZRv7HJfzZo+m/aKwh7bWVOyEdzt+L+4DXnv0ZkwtR7FlEeDHcVAcGZZ2v4R4pRHWLu5Fy/eH6yDHBlv5rOXt/HoK4nUH7PP/lc+RMl3n9B21MdAodJw+ewXsKUnUtesIK3tc1oO/wgEBbTX7aZozWed5HjS+wAAIABJREFU2zvqK6n81yqSzriIJcZwJmklFr2mYn9pUFx+vh6uTq+hZsdq4gadzu7PXsTnspM2+Ur0YbE0l+5jf2g4qeMfxyi6cQkGFOEZ1A+swDM6G7tyDz7hB3IvmYv+5ZsIrF6AYtozBJbNxa5OJtRVhbTlmNdgcwnSzk9g3Fy2fv4eMamZRGeMpraoAL0xhtBLPkTYvwTJFIuUNh7f4dWIA8+mXR/eKYgBlF4JjcbUTRgrFGqS+51GXPyJL71zshmQF8cT311KS4WNTb0DdNR1OWPKwNLmGhb1GUJE0SZqGhuRlXUoUvOxZOTTXri9c11DVAJ1gUQue8INBN/3L8zoIGpDdzfhgMeFp6CE3MP9EfqcQY3HS0vJRjpqgzOaRr0FkzECe0cji4u+55zz3kGsLyCgNNBg81JZsAdTTDIACo0OjsnZ1JjD4Og8od/VwbaPn0OhNTDwygeo3vI1SYoYyjevxO10IEsStqoidKExGKMSiRs8GVvlYQD6nDuHgiUvk33+Lfz43KzO+8GanE3a6TMpXvV+53e6Wo6TI/8fIig1KMbegdhrFFLVDoSoPgjJwxAM3fsIWksYcfkT/yvxLWafCa52Aj88e7SNeAQSh6IMTUH2OoNVPmJ6+lb80REyJ6E4/xUC3y6AgBdx3O0o+p8P+lDk2T8gl6wDtR5XR5fYbyrcTlS/0XhVZo749bhDJlO3dTu2z69BpTORfcEtbPngUZJG1+JpbSBj/JPoPY3IGhPED2TfS3O7vl8QiR90Ons+Ctar/rkRq6jSYE3ORi5XIZ42D19IKA5xO7WBfwGgJppsXmf9h7cy4JY+VE9dSpNnHf7kf9P/bjUDJj3I9q3NvJjUvV9Y63OjTXLx1asiX/3o4rnrTCz++wq8ngC3/msmM55uo/loymJBuY8Lxui58+1z2PFNEQfKfZ2C+CcWLrGTYi9n+5LdXH3/aMJNySfqJzrFX5STKooFQVAArwATgSpgmyAIS2VZLvjZqv+SZXn2yTy2Y4lMMDNoYgplWhur2xsodXfwYmoe37c1cH3pDp6ZMhzJr+OCMXqueqp7mEtzUwepVj9SwEVM//G0lx+ktLQKhS4eyenA1VZDWJ/hGKJTqN62CgBXaz0BjxulzojPYUNUBTv41vBIrNHxbHjhZnJn3Ee/Gffhc9gI+D0cWPQ8st/PiLlv/2ooTmT8iU/xbrO7j7/c5objOPkpFCLTr89n+5oj3ZZPvOTP97L6/wG58TBYYoOi+AQ6TwMs+czJwAESfrcNdMZgqY6juV6yLLO6tZGzwrrMbDImJbLprf0MmpHVIxpCp1CQZ7SyoqWOS45T9ucU/zvk9lr8H80AWzBvU7l/ETnZ04m54Rna68pRqLSUr11M9oW34WiooOnQNtQGC9kX3IYxOgVP4fco9h4TGup1Im15GzFnGtJPIaOyhEOTzKKP6olOsnD+DfmUFwbbY1NUDIJCGTQiFAQEhbJTEAMEfB5Klr7OzVc/S4xehXvLN52fiUo1Pmf32VOAhkM72H7mtZQFJBIdobxf2jWD53BJuDtaMYTFYqsspN8V97P7vYcoWfUBvaddh9YSgau5lg5TKhVHCiArhwRrNeW8BMcEQRRHLSFj2gI0X96F3FaBeN6rWNY/DQn9e17jso24R86lesvXVG/5mv4aCzU7v6N+zzpUBgsDrn6UjoYK6ha9Q3hOHslnX4mw90i3fdR/t4RzLpjHku8fw+tzolRquPT8hcTE/nXaZqOsYMkn+2me09OUzxbwYaguZcOrD3TW81VqDWTMfQvl9m/x7l1HSHYfoseP4LLnQoEuUW13K4jTGvA5u7s3KwwhoJCRNrxCTL/zic5MJiltAWvffBy928XFY+bw7qrH2XngK/w+P6PSz8ZTXY4urBdhaVC04l0Uai351zxGW1Upprg0zHHphGcOQlQo0FoicLc3ojKYyTr7BvZ/9iIhqbmIYrB9bCrcTu8zriF24GlU/vgVe/+5gL4XzSVp9Hm0luyhtWw/4Rn5VGz8stsASduRA8QNOj1oJHc0Ms0Um/qbrr1gikDIPjMoXv8LvI52fA4banMoKm3PEGjBFIVi3G2IAy4FhQLhp7zh8D9n9JAkBXC11CEqVOiGXoOYPQ2QEEzRnesIiYMgcRDOljoCG5d2Lm88uIVBNzxLxcalWJMyOfztJ52f+Vx26vdvIjS1H9VbVzHgb4+x9pVbUag0SAE/uZfdTc4Ft+FuawRBQKU1ULzqAxAEci+fhykylqxzZ1Oz/Vu0IZHE9B+Hq6UWy+CZBJbfi/36u6kV/9X5fV7qKBcXYk3LQvBLXD16KX6/xJl/v5aps2LpcIQRl+nHHugZLaZQB++9mFCRPmE+PvEE29kGv5ZmW/dnbfF6Jxfnm1ny+g7Oy+k5cG4xiNQfaWXvxirmTvuUNzdeTXxa6AmZIJIkiV3FPmqb/Xi8MrmpatLjTw3O/9k52TPFg4FiWZZLAQRB+BQ4G/i5KP6fYm9zY2/zkOMWibBoWNxUzQCjlS+aazArlKiVAg6PxJH6oDlL4JiUmW8Ph5HXpw1RqQStgYic4agNZlQGKy0luxHVWlrLDlKz83t0odE4GioB8HS0otIZkY7mdET0HoClaRdtEQMB8Ln96Mwm9v/rGQLeoCgN6ZWLNTnr5F4cINwm0Ftt4LC3a6Y3V2MmxvfL9QDzxyfz4Ptn8/4TG1GqRK6+bzT9RpxyDv4jIjcUIphjaC8sJKLXb6sXeSxNjQF2bPVy4xwN1bttEGpBdrZ0dmSKXB24pADJmq7OT3xeBJve3E/1nibi83qGNQ42hfJlU80pUfwHQ7bXQntVt2WqA5+jC81m8+dvAhCZM4KKDcvoddqlJAyfhqPuCBU/LkUfEYepsZSfZ3zJ9YcQ+nR1roXYXJTeVkKjdIyalsUrd61GVIjMenwcH75SwZRz51O9cj5+jwuPvWfnq6OhgupaB82OSKxpA3E2Bo9X8ntRHadeemjWEN7zejg3JIbKnx1cRUMAydwLhaaS9srD1O1Zz+DZLyDLARQaA160NERM4cPNEohDSHcrCTX8gFHIQUs8NnkHXhqxiTuwhV5JeHhv8LmQFl2PYvBMBF3PvH45eQQNxQc6//faWwlLy6N+zzp8jnYKFr9ISK9cYvLGUrD4JcJH5KKJMhKWMYjmwm1AMDcwxq/m9nE3YfN5MAki4SoN4nHzkv98tDY6uO/ixZQXNjNzRhqCvrtL6MyoZKQV73YKYgC/20HdpmW8PvwsHj4njTbdQur8Dei1o7rt+/XvjSy+6A5KP32gc5k5thcWixGhtQZpz78R00YjffMYlrTxjJ31ECWbV9O3rpLbx8ymRZYxKjRE7Hkd9Ygb2bbuezKGTSA25TG0Wi2CRkN9ewPmuHQcDRVUb12BSmdiyM0Lkf0+pICftvICUifNwBidRNuRYDcqNLUfxshEdrx9H9JR0bvt9blkX3g7mefcyM6378Ucm0pz0c4e10vye1Eo1SAI5Fw8l5DU3B7rnCyaDu9g1zsP0lq2j8i+I8i7/L5frF8sWKKPu/zPhLO5luKV71G04t2gg/5l84gfOvUXXcA76sqp3raKzGmzKFr5HgGvG3tNCZLX3el2fiyOhgpMsam0lOxBEAWG3/EmzYU7UKjV+FwOdKGxAGiTsimUA6gj4qlXa/DRjr1gLSXffkRE1hA8tmZ2v/8IxqhEQi+/AUVkGpIlAhVh+OiaJGoXt5E0/nFqjvjwuIODSV++VozJEMG6pd9x2kVZ/P28RJ5t6/IW0Qgi8ZKJf89TYS+rw3mkK71GeZwsDpVCACmANVxPst7J1HwrX2/v8qi4+TRYfe9OUvtGMnVGLs/MWYGrw8dltw9jxJnpmEN/2Qfn16hu8rF8s4vXvrSjUQtcMMbA11vamHuxlczEU8L4z8zJFsVxQOUx/1cBQ46z3nmCIIwGDgO3yrJc+fMVBEG4FrgWIDHxxHaIDWYNOoOat85Zwu1PjsSfZSAyELzRr9Vmcd+jXlrtEh1Omb9NNfLGV10hIIcbtOjOOx130ff4nDYEpQrJ66a9sog9Hz7aWUIp69zZFH39Tud2ppgUytcuJufye3BaIhho9iMYrLQ11KA2heAQM7Ht/ZSEYWdyZO0iFCoN/Wbch8bU03L+WPZ1tLOqtY46r4spoTEMNYVhUP62nz1Wp+O2okjWx3vYJtoYJpk50xtKatwvH4vJqmPy5bmMPLM3CGC0/LWNtX7P+/P3Rm4sQsiYiL3xB5IGjD5h+126xEX/gWpMVg0+jwtZEwnOrpfo8pY6BpqsHDshLIgCvccnsOX9A8QfdVQ9lqGmMN6qK8MrSaj/xLmPJ5vf/f7Uh3VzgP0JdXQGMf3HY05IJyZvHIXL3qB09T9pOrStc50fn7+ByTc/1nOfmacTCPgRTNEEkkbgyZqOEJLIzFu9fPFhJYGAzLRr+rHole3UHmlDZxhIYsZ8VAoXuqieIjdmwGl8sTeEp5d4GXXblWgLNnXWb/e7nfQ67VJKVwdLHenD48k47Vzm6eCexnLmxfRh6kiJrzd0zbS9ubM3twzyIssSkTnDkSWZ1dWZPLxIxYNXWKhpljCYZHRqgX9+5qKPdQzWjOU4KSVKPB8ZLx3uw5Sv+Q7rxIcQVt4dLC2j1CLV7EXMuwDpqFusHJqCd8DV7HpqDgAhKTk4mqq7mSLZa0qIHzqVgM+DFPDh64jElvAFORfdhr26BK+jHUtMEqFyC4rFD6Gf9iQtcgi7N60npK6d6NyxGKNOfn3XE3lv1pS1dUYP/HDnj7ywcCSfWZqxBfxcGJFAmtaI3FTTc8OWWur9HmpFBVqPEeemq7hugoYfdvs6TcPbOiSc8VNJuy4RX9VOVCGxJOvb0DqqkesLQJaR6woQB1+FtHo+lowJJPbphxQxhfBF1xB+NGRdyJkGB5bQK2MISkcDJqOJ+pZm9n+7iD7T57D7/YeDefaAtVcuzYU7kXxuzIkZqAxmkGXcrQ0c/upNdGExJAw9A0djZacg/omCxS+SMOwsonJGULHxS2LyxlK+fkm3dSKyhhI3eDIqnQljVOL/LJ+8o66c9U9cic8RnBls2LeRH1+4kXEPL0Jr6elPcDL5vdrOio1LObT0dSAYybLt9bnowmKIzh113PWVOgNNhdtxtdaTPvlKRKUaZ2s9EdlDERU9hVlU35FUbvqKzDOuxuqqoK1FInbQJGxVh3E119JwYBOW7KHcbm/iC1fw3hR9LrYq2vH7gkZtP0U3Avi9HtzpVmqyU7Gr3yBGuIQAdqqlYPi9VRqB7Faz+K3uVVy3fldGfFoI7zy6gQfGX0RIUjYfN1WQoNZzpSWVO+d56Jfo5do8mbI9bSRlhFFe2IzR0UpmopZDFV0x0rPPMWIvLGLKjFyWvriBflkR3HzHQNaUqell9rLp9e+xtbi44q7hLLxzded2j1z1JQ9/eA6TLu1uUOv1Smwq8FBwxIdOKzAwXU1uas9Z5W+3u7nhha532/ZCL09eG8L2Qu8pUfwn54+Ycb4M+ESWZY8gCNcB7wPjf76SLMtvAG8A5OfnH69E1H+NwaRBlmQ0OhX/vukHAKY/PoKYcVqULTpa7cFwjh2Hvdx4jon8DA0/HnCTkaBGrxE4+zmZ12ZfSiSViL4WRI2JxoJvEEUFsqggYczl6KNSEBRKdKHR9LlwDupwE8MXPIctQoff1gt1jZfqJgeWhDTEfo/y2bt1XHVlDhEZA4kdeBqm2FQsCb1/9TwKHDYm7ltL69HZ54U1JXySNYTp4fG/ut3/RWrfKFwOH8q15QwR9CTGGMgeFIZG83/fTkbrX1sM/8TveX/+3sjNpUi6cLzODrTGE1PZ3tEhseYbN7PmGBFEAaVGi1fQoXAEXywdAT9r2xu4La7nPZ0+Lp4lt61j2vyRqHTd77EQlZpEjZ4N7U2MDzlV5/o/5fe+P8XQJJQXvoH/w0uDOcCCgHfYTexe+W88jg7stWWkjLuYuMGT2f6PO7ttK/m9NLS6iBhzD5ofXwzmnicMxpF9Oa3tdqScOTidbvQtHWjkJsSGzQR8wYiZkAgDtUeCLrulBxqpLFawbXUZI6Yk8rfrHqZwyXP4nHZi8ieh7n8pzz4YPPULXglj5/z3EZv2olYp0UTFMN8H+f3HofR62GYws1Ehc2/BEmZHzMPRoeH+i9WcMdDPziIP/VPV5EV7uWTEBoaenkx4lIbQvjHc+JXIo1cbWbLBxddbukoq3XWJhZ1FrfTvvQ4frXTI+4gSziOybgYHyv6BEGcK1mpWagEZee/nkDoaxaT7wZqAbKuluc1OZJ+hmBN6o1Cq8bkd3TqtIam5tFcUEpqaS0i/Kdz2fizTJvyNEWxh19v3IQhBwTP6xvnoL3uaon1VlCx/HoCyNYsISe3LyDvfQWc9uc/Vibw39UY1CqVIwC9Rvr+JjyYu5bbV5/FleDsK4LyDm1gydArsWtNtO2nIVHZ2tLK1NY5RhU+ybGEhaYMKWPxAf77b7cVqEslOVnH+ghZabClEWlMZ2kfDIxMOY1EeIHB08EIwhCMfLcEldzQR8v2DKP62FHnUHEBGUKiQyrcgH1qFedJAhIRBrHrhDlzNtSAIOJtrSR59HgqNFkFU0F55GEtib5oObaViwxfEDjwNtTmMjpoS8q56CGdjDV6nDe1xHKPVBgsgE5Y2AJ/TjkKjIzZ/IjU7VqPWm+k3417CMwagPE6Y8snGXl/eKYg7l9WW4mis/J+L4t+j7fQ62ild80mP5Q0Fm39RFJtje5E++UqKVr7XKaaTRk8HBESlit5nXkvp6o8J+Dwkj7mAiOxhROeOxuQsR/3l9ehEJVLq5+giw3BHRCNpzTzr8/JFS9cg0Y3WEFJ+eAl32tk9SmcNuONO9hhm4acdZOiQ9xEjXoxRyCEguYhpv5KKVi3rv17X7bgT0kI5crAJS5iOA3o3z9eUM8oSjksKUK88zCfPyOw5YKa9VsNHT29i+qyBTLw4B7m5hdduymbzIS+FVX7G9dMQZRFoq4xh2yf7Kd5TT9GeejavKGLmPSMRXQIHfywnOtFCaUFjj+v36YtbGH1OJlp9V4Tjqu0uLni4Ef/R00yPU/LJfRHkpXcJY4c7wNtf9/TI2VXs5fT8/27m+RR/HE62KK4Gjo2ZjafLUAsAWZaPTdJ9C3jqJBxXD8yhWm5YMJ4nZy1HlmH5Y1t4dux52I1a4sLdXDrBgEopkBSp4IXFNvYf8fOvH5zkpao5c6iO/ZUigUoVw0JaWbq0kkN7TZx16ZMgCLz4YjV9h6u4av5zCFofxYZ7cHEEEQ3J4h2kd8Sw9Om5DLv1VUStEYXSxblXp6FS2bEkZaL22aHhEDU7HNS2aDFHhpKYEYpG2z18eau9uVMQ/8RDRwoYZ40k5DcaE+UMjSdn6G8T16f44yH7vWCvw+YKoLeGn7CZghVfueidpcQaEtyfWmfAK6vRHS098WVzNVl6M2ZlzxB8Y7iOyHQrB5aXkXd+z1IdA40hrGytOyWK/2AIfaaivHUrUksZLk+AbYveoKl4LyqdieG3v445thcgozZY8Drau2+s1rHuq2/JGHkbGq0WTWI/1j55LUqdkdD0PNytDejD44geNg27ZjiTpqtZv6wYQRQ6UyJ3r6/glucmcWBLNRtXVFC0z8xdz79MUpaF3U0xfHdYxeRBXr7e4sLjk6ltcNDLEoLQXs1+MZbXWo8xGbI1oUDg8ui+NJQ0E5+ezIWPNNPQKpEQoSA6REEvqQ2VWsmmFUcAGHW+klvOHUVmgprHPuzewX95iY337jEicUw5KvkLFDVZ5E6cjnL9fSCIiGcuQKrYAYBcuh5JH4rQVomkC8XlbyJuyBTs1cVorBHo1YmUff9vAIxRSSSNPBdHYxVOwcKeiNks/U5m+XY16x8eFNzfUafZsl2bSDz7NEpXvNDtGFtL9mGrPHzSRfGJJCE9lGsfGcNr93wPQMAvUbXkENfdM5irSvfgk2XeNFq5fuaDOJa/BbJM2rlzKErK5B86iWFhu3jrbhWpQ9PYSiI3P9xMfISCtDglOrVAi00i0ioysq+W+tYANYreZOy4B0QFYv4VSPWHECzBsFSsieBzESjfAYdWQlX38GWFJZqtn7+NJSEjKIplmYZ96wnp1ZeiFcHw2KQx59Fw4EfC0vvjsbVSuPQfOFtqSZ00A2tyDqZYLRpTCFprJKa4NOzVxZ37Tzv9CmyVhcQMmIDKaMbd1kh0v9FkX3AramMIhvDYk/a7/F+oj5O+ICpUx80r/isgqrSYolM6Ddl+4td+E6VGT5/zbia6/zjstWVIPg9NhdspWPQCxqgk8q56BEtCbxyNVbSU7MXVUofaGEq7MgLGPoE1JgWNrQJx2Z3opj5KycF2zkvMJTM8gRIR8r2tDCn4N+ryzagzJzNy9lPs+/JtXC11pIw5F0VYc1AQH0OdtJhc76cIbXoaGl3URoYTk2altjg4UGkO1ZGVH8N3nxVwxp2DeDlQSbPfy+q2Bj7LUaLQzsFGC6mjNcTYHyMtL4RFr25Hq1dxwcJLuWxuA3HhIu/dHcG1zzRTWhtMYbzhosmYIzeyc+VhOto9hEYaKNxVxy3Pn05HmwuvO9Dj+lnC9SiUXWFpDS0+Hv2gvVMQAxRV+9la6OkmipUKAauxu78JgEknkBDx10g7+f+Zky2KtwHpgiCkEBTDFwOXHruCIAgxsiz/ZG08DTjI/4DkrAgcNg+zn5yAvc2DWqNk65O7uHL+ZG49T81DH7Rx6/lmNh/0suzHLuOpTQc89E9XgyzRvr+IuNsyMKw9RMXhMl55qCvcIr1fJKpwMwXyTXgInq6Eh1JpAf1Nw1AbrPgFG0K0nZxL2lE4XRjk4WicDfjevYCDKY9w15zvaG92IYoCf394DBfOGYze1PXwuqXu9QEBnJK/s+byKU7Rg9ZyMEbQ0VyPznpiRuTdbpllS1xc8beuDo1Kq8crK5A7GrH5/XzeWM2sXzF1SRsTz7aPDx1XFOebQni5ppinev3v8t9O0RNBVCBEZyFGZ2Hw+xgY3hu3rRlDWBzG6GBYrtoUQsZZ17Hv066xz+i8sbRXFJI0ejouScLlkvHv20LiqHMpX7eY+j3rMEQmkDh6OvsOqKkusnPGVb1Z8KmVLWuqOePKfnz17h4A3n5kHbe/eBp+RxMajYA+Ppr7Ptfy0Q9OZBnG99dy2wVmVIKfUM8hDi37nMQR03HoooHuzrsBZLyGKKzRkcz/OFifHqC4xs/jH9v4+GYTZ/99AP9euJXs0SnETcrnk51eNhb4eGimlSUbHGw9FBTBDreMydhBgC5fBgEV0VnDMBXuRxh1E4IhHMkch9jbDMmDwV6PXLIOua0Sz7gH2ff4tYhKNWqjFXd7I8boZEbOe4+Az4uIACod653jmL9IRXl9MG0nIEF1uxZLUhbtFYdAllHpzXjloHGTMTIRe21Zp3mU5PfzZ0apUjB9Vj45Q+KpKm4iJEwkNsqBI+DDdXTW60uXnfUhEVx87QLONUXRa8PjmGyVKEYnUcbrGKy34AqL4uPPg79dVWOAqsYA0aFK7r3MTIcbVm1zkRipIKDUI/Q9FyHjNOTitYg50wh8/yyMuhmnwkIwTkqmue+dhNVc3llaR04YRHVNA7W71pB9wW0Igkjt7u+x15YRP/QMRtzxBo7Gamp3raFq83I6asvIOOtaTDEpqE0hWFNy0IdGd5puejvaSBw+DVny43Pa0Vojqd7+DT5XB/FDphDaq+9xrtYfB3N8OqmTZlDyzYedy3IumYvxL1p+T6nWkHXubBr2b+w0PzNEJhDZZ9ivbqcxhxKTN5aYvLHYa8rQWMIJzxyMPiyGfR/Pp72yy92/5fAOEkZMw15fTta0WUiyAxqqwOdE7mjGGpeBt7IQ08JbGJOUScaQsYSljEARmohkbyDC2cSo7DACmTNQy27a6NmPFFEjtSso37yFucl92OYr5I4PRnBPuA+L9QgBn8z+VfVotEo0RhUuKfhM3RBnRqWdjedofW8JD9WmO7n80Xd44IwWxl0+gIXfC8gyzJho5MF32yit7WrTFq708/as0excGXRYN5g1zH5yAh6nH6NVS+GuWj57eRvOjuD3iaLA5XOHo1J3SSCbC6qaerZ3Te3d+9EalcisaWa+2e7u9BPSawWmDtGRl/bLvjqn+HNwUkWxLMt+QRBmA6sIlmR6R5blA4IgPAJsl2V5KXCTIAjTCNo8tgBXnsxj/AmdQU3eqCTs6PAcqEMleuk9O4s1Tjt3veln4kAd9a3Bl+PP2VHo5aJhWlKuSyBE2cLki9NY+n4BAX/wCVIoBM69MhPk+k5B3IVElaOZQY98SmvYQuoUwZw29NBbfgrjTgF75CieeKSa9uZgOJ4kyfzj/h/oPya5m3nVIFMoKkHAd4wIvj0+gwjViSnNdIq/HnJLGYI5DltDDTrzr+er/6esXO4kMVlJVHTXKKpSo8MTAJzNvFNXRo7R8qv3ZdKQaDa9uZ/26g4scd2NR9J1Jhq8Hio9ThI0f556lP8/ISpVWBIyepjTe9oaqdy8nL4Xz8XvdaNQqnG3N2NN6sPu9x/G57ShC4mi/1UPU/r9v8mb+SAaazgqvYnGogMkRoQRpyrCVlBL05IXGNpvAmnjZzJuZC5VTXqi4g0kpQXQKLWIai3LC/V8+H1Xx2fNLjcjstVMMSyl7eBm1Jln8kHxMCSbgbhEHdW+rpDnaSYrfl8UKq2erYd6huO1+tXUlLUy67FxyL3TueY1FxBs87cVenni7yFsK/QiyzC0j5qo+FXY6EWoOBqv3IDRn4vxneuQG4u6upvjb0VOHY4YCA2abal0ULMHv9vZ6ULsbgua6pjj0lAoVJSseI/q7d8gIJAy/DLOzruMl1Z1hfXFa5vJ7RtKYMZ8GgUPss2ErNSjPXc6xdW7SRkyHVObn6bN32COTzsRP///FKP8plHiAAAgAElEQVRFy4CxyQwYm9y5bGVNCVdGJfNkVVA0tPi9vG1v4UJjCO8q7+exf2lZNOIHHBRy2lUW3lutBLq/67cc9DAsy8TjrwRN3A5V+Niw38P6BRcTXf5PlP2vRfY68A65k4aGFnqXrQ3WzY1IwWpORr5qOXJzEbLKgEsTgdTYQP+rHsHvcZJ+xjVkTJuFHPDjbKll2xt3kzZxBlWbl6PSm4kbNAm10UriyHPQWiNQG7pXmVDqTXg6Win55kMUam1nndneU6/5/S70CUSlM5Jz4e3EDTodV0sdhshEQpKzERV/xIy/E0N4xkAmPL6U9spCFCo11uTsX60s8nNMsSmYYoODBjW7vu8miAFCew+gvfwgxtheFK14l36nn49ctgkhcwpCfB7m/SuodkchBXy0lu5jc+k+Jj/wLgZXC2JCAnLdfhQHl6HY9xnChLvQqaeRKjyCk2I0QtAE0yj3xVvjpS4ins1H85JzUltwmGfRRtA0K/KSCF4a+Q7VDdHcFO3jkaqDpOnceLoHjQIyMVluZs4bScLAJJ5/N9iW5qZqePJTGz+nKaAjOtmKUiHQOy8alVrZKXoz+sfw2tqZ7PzhCC6Hl/zxKWQNiuu2fa8YBReNM7BwSffKA/1Se0ZVThyg5av5kazb60GrERiRrWFs3qnQ6b8CJ72FkWX5a+Drny174Ji/5wHzTvZxHY/6+kq04UakYRGokgsIUxXRtGcC4RaZSycYmLOwhWvOMHbLFQMYm6uk346/oSpehTz9NSLjh/DairPYuLIcKSAzamIkvVmJxzYCtTkCL8d2sARC1FbEkIPUyf/stt8S4WHMue9jK/dy5FB3AxuAhvJmpPBDyEotgiWWPGsiq/qO5vnqw1R5XFwfk8oZx5S7OcUpfo7cfARMkdgqarBG/3YTEZdLZslnLmZc1T3sTa3V4/Y62KNVsNHWxG3xv5wf39JSTkXVTuLyY9j52WHG3TKg2+cKQWCAKYTVrfVcFf3XnEn4q6IxheJz2tj36dPdlk94fCkTn1yOx96KPiSauu0rqNu1hrpjcj8tSVmkT74Ka99z+O7ec5ClADEJMUQsnU6Eq5V8hQrqfHDASlX/2yHjLPwKI/fPkFm51cW2wuCswddb3dxxSza23tl8uCOSJ75QoFa5eWjuAPaFVFMgtTDdEsYgTwSn3Scx71If/dPU7Cr2djvmEINI/oQUlFof723vGaWz6YCb/mlq4iPh9isPgmkTqcL9FEkPoiaceOkSZJ+LnwLzhKQhCB4P0lsXIVnjwW2HMxfQHtmHWmcF+Te9SMXaRbQfKSBmwHhC0/tTs+2bzrxiGZmmjR8y9Zy+vKUdissjs+AiFxk770Co2YRyz2JCrn6Sjj7J/OujxzhSEazLe7D4O7IzJjF93hs96pP+VZCUKkram3gmIZePWiqIl3XcoU+mbUcLDZsruaO/lShjBHbAm3sPQ5q+5s013UXx6FwNH3zTPbfQ6ZbZX60mPLofZZu/pr28gOi8sVhT+uJTONBc9AZyRxPKLe8gl6ylauDd7F3+IkljzsMQEY/P1UFz4Q4CPh8Fnz3LiDvewBiZyJDZL+FurSP/uqcQFArMcWmEpeX94vmJooK00y6n+eA2Wo/sBwjmlWYNOuHX8vdCYwr5xXzavyrWpEysSZm/eT9hqf1In3IVRSvfA1nGGJ1C7ylXs27+DGIGTMAW8INSQ8CajDJ9NNLW9xEPrSB85OMUHd1Hvwtuo+SwzJ6tsZjNInnpmSRNfQyPfS+NIzSI2t10BPZhUeRTFngCH62oCCcj63kiGjLIa6vigWQDyabl1MpdLtJeGumIXcVCx+lMKc3kjlAl7kATaqLwdqsuD9UFKt5fsIHEjEPMvO48Xl7m5GC5l8GZajYXdG9//RLc+Mo5pKfoiEnu6dbfOy+a3nm/7FIuiiJ/m2LC7ZX58FsHEVaRh2ZaGdW3pyhWq0Um5uuZmH9qEP6vxl932O034vP6cchFxFtTCYvaQIVwMyCTHrOdW8+PoLjGxxWTDAxMVzOyr4YN+4IhL/3TVVwWv44q91Rqwq8jTIhBXbwJqbGC8y8fg05uwesrYXuHGu2yVSROvIuyyAcJ4EBAQZTtfjrU6zAJsfw8OiWAgzZNAaFD8kjN3k/Jge41kiNNdmR7A9KBZQg6C0LfcxmWOprBmUPxyRL6v/Ao6ylODHJzKYIxEnvjLmIyfrnT9Z+ybImT5F5KomO659qotHrqXXZeihnGeeHx6H6hBIzT2cKPWz8gIjyNdutmtn3oZuzN/XvULO5nsLC6teGUKP6ToVEKjLnleTb94wHaygsQBJGci+7AHJ+GSmvAGJmIVLMXa6ARjSkUj71rMDDnnFns/OhJRs97H7XRisfWjFGnDjo2AwSO+im42nD0uoDLn1NwoLwNUQyG4MWEKVm6ycnpOW5Ua59AMeYJ3l+vBXx4fXDPfDd9kqKYfU4UKYuuRzlxIVPyNbz4eTtv3h7BNc80dYbWXXemEa2jDVdGb1r9cFasgEIh8tXmrgHTqDAPC2a3ojYdpkTxd1wytMjfESfO5Ij0PLtVV5N/7lx0794PgJg5Gc+R7bSMfpzGqnJMoRFENNZA6gDCfB5CK74hfPgI7KPPYecnzyFLMk3HKbOjqfqOz+8YhFVsI2PbLWhqt3R+pl23nLLTjJ2C+CcOFH7D5DGzT8RP/IekrzmcveUFfNtax5zwNM4S49i7tIDX5n7Xuc7oM4cRk3UptfyTXgPfZPqYK/h8bbDdSYtTcOVZTcx/z8qjV1lxeWU0KoHdJV4UosTGp68hNn8S8UOmULVtFYVLX2fUDfPRr3kaccQNSIXButhh+qApUvHK9zq/N/eye4iKiSbpntfQ2YqR93wL0dloYgbx7XsPM/TWV35VEP+EOT6N0fd+iL2uDFGpxhTb6y+bk3uK7gT8XmREss+/BVkK4O2wodQaGHn78zSXHCJ33FTElXfTkjeLUIUeoWw9gfyzMfSzMizzCVp2lVMnj2DeBSs63dZDIvS89lEf5BGNSAYVJYH7SRSvpzjwMBLBkmY+mjiknk2q8k3e6FOFV7EYNz1FpVJxiCnav3Hv807USi2nD+1F/8sXEoi8mgAdCCiIaF7EPjGPiz6dQLxVJjlcQPJr+McyO2/cHs7fn2mioS3Y/l4+0UDBES8XjosmKfq/D2HO6aXmpdmhzJluRqcWSIk5FQ79/xunVNIvYG91ozV7wNOETVxEqng/SCJtKgW7StzMOsvMnJdaWLjEzsxJBi4YYyAmVCRXsYMDjb2Y8XYoTreMVi3w4hWDidz6DqXrFjPspoXUNR9CJQmE5Q6n4On5hM9ZSaWtml5GKzWH2oidupgAFkR0SHR1qgxk4KCAEA/cdV8Cd93sprXBgUIhMOvhEaTGtBH49GrgqJ7e+Snea5ZREfBQUbGD8LBepCQPJSz0z1Ui6BQnD7m5BCKzcLY2obOE/qZ9tbVJLFvi4prre3bElFodnyb0IdNeRabmeFXZghQUriY6OovEhAH4/Gsp29BB5Y4GEvO7u6sOMIbwQX05siz3EMyn+OMhe11Ih1YQ+Goeamcr48Zd///Ye88AK4rs//vT3TfHCXdyTsAEouQsCKKAARATKiquCXNcc85r1lXMAcQEiAiKgOQsGQZmmGGGyTncnLqfF1dnHAZXd/e3/2d17+cVVHdVdffc7qpT59T34Ml6gKDGiikpC9UvQukVZxPGDU8w+ty7aGz34XO7sSUkYFF7SR89HUtSNn0u+is73rgdvyKBpO40iAF/6kj+vkrLxEE6zh4p4A8ofLzKySOXWblqsgmPT2a+4yNy/WoSoto4UtFZ91B5gPY6J/bqElT7dzItNoPhffxsm7eXN2cPwKO3YjUIGH12ttVaufu1TuGZi8YbGdNXx7q9HjRqOPe044hR3yOj/jmqGj/NCD9NGhX8OBO1/ByEJ+vMlOsKOLL4fbJOvxSPIFCrmIiXdQhVhbQmn0Z7ZTGmhGgyx82kbv+mUP7ZI10NXFNMIu7l19N7SE+EXxjEoU4VZKWrx6UD1Z83U0CKzsCi/BGsbK5kv6MBX9DC+w91Vcld9V4jk572kyn9FSU6wCM3bmPOtGQUXwopyeXYLY8xrv8C/vpWa0edc0cZ6BnjoEStpXrnSqp3hoxfQRDRWqMRYnNR3J3nGzY9E/pd2/140aGx2qjYsozk085AV7YTedt7oRMPr0ATlcHovzzIlnl3E/nE0i7pt34NrSUKreXf+46H+ePRfHQvR1e806WsvaqY4X+5lJj0ngh1LuTqPVgsy7HnTUd72dMcTv6INvEWBFSkRb7M82fs4pfyMy0NLpolA07DYhKUi5BxIyB2GMQ/E6ANbaIfE02IwgRERU+L0vXd8vjOJDloJjHKw9HqAJ+u8vDDzl7ce8VyhvdvQPRn88A8Lcu2dn5PX54byaTYeu7+ez41zQHmnGlGEECjFqhuDDBhoIGMf8Mg/hm1WiQvLZxW6X+VcGLPX8EcqUMtWhGNzViF/pQEH0EUJRxOI5dMMLO/1M+BY34umWAkLkrFgtVOFm90U2kczNwF0bg8oa+Jx6dw4wcmtCNvIn/6zWx54XpqV36Ovt2Hv7GGPpc/hNBi4Kan8lm71Eh1qRNFgSZlFXnSq+jJBMAiDCRRupQWeStEJdFz71W8/YyD195M4v3vTmXG+Wa0Gx7vcg9KRDLbStbz5jszWPH9k3y08Co+/ORK2trrut1vmDAAStMxXOjRGIxIJ1GC/mf4+H0HffpriLZ19wLvtERTazAzqaUEvG0nqQ0+n5Oa2kMkJuQDkJiQjyazlp0LDnc7N06jwyBJHHJ132sU5r8PpWIHwQ8vhOYy8LShrH4KQ+UmItLzuhjEAEJkGpgTMP7wIGkHXiLn+EdErr0HyWwj+/RLEUQRS0oPel94J27JjDzhoS7120Y9Qt8exo7818kxEp/ebyMzSU1VY4Cr/tbMog1u7n23lanDDWh+8bNPipboazqCIEpkFcTw6fOb0Ac9xNr0HFy6i4RIke92+7nzc4Hyepk7zu/c27lgtZM5kzXcN9vN189XkdezlCr5A0ThhPsTOodh2WhFvnwxymULcSb1xyOrGDDncZRggJKVH7P34yfYv+wjnPokChe/yp4PHub4xq+o3hUSYDLGpmCwde6VMydmo4uMwxgdj5g+DE6IyJBHXwIxhSQl5Xcpz8kaTUNrFc0tFb/3T/qHI8dg5lrdEV5xXEds8wq87q4iO0tfL8HceiVNwdWUyS9R3xjNt+szeehtNcvXpeM//iSPfNh1/+HiDS4qy2rpddbV/DLhep+zLsfUVoyQ1LdTjRrA58L4w4Ok+woRJRFPSx09x5yFPioWeceHXdoWmo9hljy4m2u7pSsKE+aXuBpP3J8LrccO4AskIvj9CDoLmGJRH16KeceLVCRvp00MRZkoBGgJ7qC9ydOtDXubCg2xv1h4lhBO8K2J6HBTzjH5KUqCj+LgIGnijYjoEdFjCt6Gt3Uk1YUq7r7I2vGa1LfKvPllNB8u6seqrREs29q1/wc/aCNuQBaJNhWn9NAxZZielDiJhCiJkuoA85bZWbLRid3VXecnTJjfS9hT/Cs01zn5+gMH0/6qxa54yBPfpF3ZiUow8/UmJ+MH6Hj+2ghKa4I8szA0qd9W6GXFdjfXnW3mifmdE32vX8Ghy6Jiy6NE9xiANTWXoM+Lp6UBrSWGmMBe5s8yoJjyeOOGOnqf3Z/o1ADV8iekitfhpQaHcoiS4BP0kB7HEyhDrzVjK3wRm8+JlP0UGM9AlrsO6q29p7Fi/atdysrKt1NTexCr5bdXmcP8D9JyHIcP9P9mLsjiI362b/Fxw62h1BqNB22Uft0DSRMgdupR5ucHGL5nA1KUHtxtYOjeX2X1PqIiU1GpQkaEyRiNMbedvV8WM/WJEah1XT9ffY0RrGmtJ9/4f5NbOcx/DuXYpm5lwa1vIQ65HMF4wm9BlpGmvUxwyS3QUBQSKzr/bYTsUWh+Si2nj4yhePl7+F3tVKZkkzf2CXRCEF1aHxzqDPyywILVTmaM1pOVqOKvb7fSP1tD70w1b90WxcEyP4/Pb6OoMsB9syLw+hRUkkC/LJFTknqzX3kJyV3ELfdH8+OuZsqPeph2zwSufb2dwvKQZ3nHER8jCrScPcLAV5tC3hOTzsdlF3yHk0MUyV8RJ8ykVd7RcWtGIRevElK5NtALRHAmKajsblxNbiq2fE3x8nfQmCLodfZ1FK94l7r9G8mcMAtbr0HYeg1CrTOx75OnADj0xUtkTZyF2mjBEJ1I2/EjBBzN9Bk+AuXoapSLP0E48AWKrxXv0HE0pB1HVlVx+gVnULV/AkeLt5OS3B+ADxdczqABFzBz+oto1H9OERnFWwHuImJ1C5l4/uV8+0lZxzGNVkVdSRLJBU+jtXs4674kKhtCXvUdR+DC8fFcNlFNok2Fx6eglgTe/85Bq1Ohcs+35M+4BTnox5bWg4iDHyFWmwnu/RJx+quIk59EXvU4eB2QNhRxxLVkHvoWr8GIKjoaAm44SZYIAYWozL7owunnwvwDrCndNTri+o1l32dvEN97CKnRjUjTXyH49V0EcwbQKK7qcq476hum3/gar92+taNMFAUs1ihixatxKgfRkkSdvIg08SbK5BcAGQGJdOk2DEo2amwEcaIlHh0Z5EtvoMbGkaokfHU2EGViI0U++quNQ+V+NCqBxrYgry6xc89FnWP4ReON5CSpCcoKPqFzzB+cq6O8LsCFj3XuV16508PiR2OZOiy81zfMv0bYKP4VDv9Yw3sP7mTiVWNpi9pOpDgSSTbS1CYzOFfL1S80c9VkM29901Voo9Uhoz7BMaZRQ1ykTH1FEXkzbkIQBBqL95Ax9jycDZX4Ha3ULXwGld7E9fc8wY73FIZeqCE+KxEfNZjEXujoRYvrem6sgKnRAxl8kw2L9ygR5SqM8aMRojNh1FyCn13d0W9ApcHv7yoCBpy0LEwYxd0Ksh9Hu/3fUp4OBhX+/rKdCZN06PUC7iY9pV/3IPW0UmS/yEcOK6nNrcT53AQkC5K7hZMFPFdU7iU+rmdngSAQl5aEO0Hm0PIy+k7rqozb22jlh9Z6bkjqnrYpzH8Z5u6CJ0JECqi7huzKDcUE5p0BnjbESQ8hGKIgIhUpc0SX8wzRiQy//U22vnQDzaUH2dFUx+Dr/oZgiqWq0sujHwZwehRGFOh4dYmd0wboaWoPcqwmyMqdbq6bamZYnpb1+7w88F5neOtbt0bQ7NxKVl4ParaVEBmdyNSz4zAm5bOlXkdhubPLdWw64OXBS618tQkizSJqb5DCpTlEZcWQEHcB22QjoyKr0ari0ApJWIWBtCk7yREfxyj0wKs0gNGE3x/Jjtfm4m0P6Ub4HK0c/Oxv9DzrWjQmC7vevR9XQyWiSsPQm1/DFJuGo64MOeineEUo5Db/vFspXvEuALqZN5CW2J/iQ4epK3RQcMUdtLsOYGrohadIg7qXTFJyOsVF29jx4yc4XaG92zt3f8r4U28mIS733/yD/3ciGENp3NSejVx563XYMoaxav4hUgpsTLtrINVqDc0He+CVW6ls8Hepu3CNl3fvMHH5M6G/kUqCx6+MJMPgoLqiiIMVzyMIIqNveQlN7gSCS++AgAf50zmQNhTp8sX4XHZUai3BNyciynIodD4+H2XEtYj9L0TeNb+jP8WajFsTzSl/eRJNeOEvzD8gMqsvfWfdy4FPnyPo92LrORBLYhYHP3+eHr17IzRWEdz4GuKF76KWwKI00Ch831FfQMWomVZEaSiLXysiMkbHhbf0Zl+qzLdFSdyaEk2ObhAu5TBKIEBB4H2cLeXo9SmUWZ5AEYOkSXOR8eOQDyKKaryKgpvjJJln0lwbQ4RR4Mn5bZw5xMCTC9q6rAFFWUQ0arh8kpl9JT4WrA59Z9/42s5nD8Qyuq+OQEDm3RWOE2+dz9c6w0ZxmH+ZsFH8K9hbQqEb7a4K4qLPpUp+l3jxAgDmr3bSYpcBBbUKvF3HSuKiVBh0Qsee4leuDKAu/ZqEgaehtURTuPgV+l/xCFteuI6c02fTVLKHlOFTqdj8NTVLbySrxxBMzXPRqJKQ4k0U4+Ds/WocwVDY8zctdTyUns7IuGcRrSr6qy/DIGoQCs5BUuuRd3wAukjMvU6nd+1h9h9c1nFtep2VuNh/X90wzJ8PpbkMLInYG2vRmburN/5evvnKjSgJ9BsQikOtWJdKVG4j+mg3LSooTHcxYVEySmwWflrRuruHT/t8Ttrba+nVY1yX8ghrEursIrZ9cKibUdzHaOX16hJkRUEM7yv+r0bIGAGRaaG82ACSGun0BxA0XfefK5W7oDUUwisvuTVUGJONOHc9gjEan89FecWPHCvfjsUcxyn3zkPnE9CaozD8pLTvr2unqb2ZvDQ1x+uDTB5q4LsdbiLNIks22rl0ookXFtm54gwzJdUBqhqDCEJIjGvvsSCpLavRGTbhbqrh2OpPADDFpRGcseKk95ZoU9E/R8Ols+FGYQ/DTJG4/BZGBeJxuD0UHzKRlDUQMaWFQ8HrCdCOjBeQ6Sk9S7OyFm1TfodB/DNBvxdjbDLFK97D1VAJgCEmiaDHSc7kK9j7waPIP+2lju09AntNaUfd0m2rCAyayKElr6O1RFO/bSuFS15Da44ibfQ0Cj/4iKRZ11NatqXr30kQEYWTi+D9GRBMAxFz3kJx7qU+Op95Zx1n0NTBFIpuTnfv54moPJwb1BRk6oGuA70ohHIWq1XgD0AgCM9+2sbqp+KoFgRQFHKmzCHg94PeBMGQGKe71yQqc8ZTUbSGCFMC2a2lWORfqJXXHkRRFPx9ZqKO7QlFKyGhD1Kf6ehj89Ga/29S5YX586IxmOkxeQ6JAydgrzlG6ar5HPziBSIze2Mq+x5Fb0aIy0VechtiwVkkRV1Gm3kXfkLfnAzhbo7ETCbpGgt3XHAGaq2JLxv68Wx1aOvSl02QoNHygSsF++cv4mp+g8jsPiTNzcUo9KBFWYeVIZiEPNrYRmkwFMliFvoSEVGOyzsIh0fhx2IfKkngurPN/H2pHVkGm1UkJ/Y4H/81iSMVIm9+7e24r8Y2mec+a6N/jgqjTkSr7j7On6wsTJjfS9go/hXSc20IAni9DvSkE8RJlfwukeazOHjMx50XWIkwCcw918JTCzon9Uk2idrmAG/dFo0voNAzPkhKYC9lzmRkVySCIJIx7gJaywrxO9sRJBV1e9cT328sBTNvI+j3otIZ0avs1O/fi6bCxrHcATiCB7pc34uVbYyJnoVL9RQO9mMgHdEQAf3PR+w3E6erhW+/e4y4mBwMAy+m6Og6EuLzmTThbmJjsv5fP84wfwSajiFYErBX1BCblf/b55+Emuogn33i4qprjQiCQMCtornQRs70QgBWRkKeSyGlRwN1u8fiSliD0dnUzVNcW19MRERit7yUFnMcxH9P9cYkmo+3E5XauYczWq3FqlJzwNlGH9O/btSH+c8jxvZAdfWKkNHrcyEk9EZIOomirs/VvczZjBLwIQD7Dy3nwwVXdhyKsWVyzZWLOw1il0yCUYNeK1DZGMBmFdlf6md0Hy2PfhT6bifHSHyx3smAbA3njDQQYRRRSQLf7XBzeoED5/EDNNub6XX2tTQf3QOAx96MzSowPF/L5oOdk7bJQ/QM6KFi0o2t3N10mICiUP6TWGKaS8/jGpndpiY+fOdubnjg8W4pSI4HXyVOPA/Z3Iqk1RP0dkb1CIKISmektexgR1nKkDNx1JVTumYhudNuQFFkDNEJ1O3bwPGNSzrOM8Wl4XE5yBx3AcbYFA4tegUAr6MFc1I2OWfMRlR0xNlyqGss7qg3esQ1REf9eRXdBZURKf4ygg1fsssd4LDHwWE6vU+v1JfyVI94mpsk8tLVHCrrNIyvmmLGG1C46wIrdS1B3vrGQWObTKPSxuC5fyPo9SH7fahajyEH1UhnPUdQltnqbGL5N/d3tJOdOpBLTpmF4cePO8o8Ljd7N6wiIuEMDOkTaa5cQl5EFoawQRzmdyKIIuaEDNqOF1L9Yyg8WmMwI3rqkA9/gzjoUsSccVQl9mPe6zcxZvxF5ObnohPiqdV+iiL48dOEP+JjdP7HeLn2eJf2a3xeqlN70XvsDCSNDsugBBy2HUgk0SAvwyz0Iai4aFI6Q7Ptyl7swgFqm88lI0HN6N46Vu3yYHcr3DcrgkBQYWSBlp3rZtC399m0u67tdl/7Sn00tcuYDSrmTDGzfLubn9eUVBKcNzassB7mXydsFP8KPQfE89SimUQZWnGzjRhxCkeDDxAVsZOHL+vLc5+3c7QqwIzRep66KoLdR33ERUpEmiT2HPUSaRKpbgoyxrADv0ZGcLr4fM2DzJ05H50Sg7slNBlqKt5F0uBJVG3/lto9awHIn3ErSlCFwZbI7vcfgns/7nZ9akFE+unPJyveLscEQaC6Zj+btobUB2NsmWRnjSIQ8BIdGVaeDnNylKZSMMfibD6MfsDIf7q+LCu8+oKdUWO0HeJazUeiMSY6UGmDuCTYbIVZdaCL8qCNqaR672Bs5m+7tVVbW0iENalbuSBKWCNjMQ00sOPjw5x+z+Aux3sbraxvawwbxX8ARFsW2P7xAp2Q0BtEFfxCL0EcORfBEk+7vZ6vfmFcADQ0llJZtRdbdDqOyiA7H3NStdHHc7dHcOOCFoIyxEWKuLydsXpN7TJRZpGKhiAtDpnXv7KjKHDGIC1DtOtpbWtAa7V1ETeKvmIRsx5vYuapRkb30XKkIsCIAi1BWaG5YSXb9WYCJ+wJNXjbkeoPkxw7iGEFjxAI+uAEJ2wABwFa0cQlkH/V1ex//RUUOQiCQO+L78AcE4E5MQt7dUno+UihBtxNNRz8/HkA8s+7hYbD2zvalLR6evYbgFqnZ8OCN3E1hrzMokpD7wvvotFFCOcAACAASURBVHLzMhoKtxGZ1ZeLLnqew0fXUNd+nIL8M8nOHIXq3xTc+yMgB5oQhe65pdWCSE6Kk6e+VXHtVDOVjQGO1QQYmqdlx2EfbywNCW2d2k/HuaMMHCrzYI4qROfP48iSt0geMAZz1XqUo9+jDJ5NU58ZfPf+BV36OHp8J7U9x/8kqQmo9RA7GOfuiyh8AgQJelx6Jf4JGvj3pB7C/A8SkZ6PwZaEq7EKfcRgvNnxaMs2hYTcYnpSGlTwuNtZtuRl0oNPoBcVfAObT2glgEoQ8J6wzd3X2sChRa8w6OanaIr9mlZ5IyIGDPTALPTDLh/gRNqV7VjUAcrrBM4ba6SqMcieoz4Olvm4Zqo55EzKGcfe/UvJ7f2XbvUnDdJjxovXC+W1fp6+KpLdR31IIgzO1ZIWG9YPDvOvEzaKf4XyI028cd8aRFHhiW2RBKUGsqT7aYx7FKPxM45WBbh5uoUIk8CPRV4mDjKQkySxZrcPnQY8PhjcU02UUkZDq472TT9wzth7Wbzhac4bdR9avw9rWi61e9aSNPgMCmbehqTV02SP5c03G7C3lXPLU/2wDb6EZMmITa2h0d+ZOuN2WyytP+4gIes+TPHdvXp2e33HvxsaS2loDIXSnTnxPkwm23/+AYb5w6E0laDoY3Dbt6L7F4zKlcvdOOwyw0Z2ivI0HbJhSQ555DZbIM0Dlp/EIU2J9bQW2mgsiSPul1tEFZmGxmL69TnnpP2YTXEEezvY+fFhTrtzIJKqcxDMN1hY11rP3KTsk9YN89+NLAcpr/iRfQe+RlFk+uRPIeXa72H5fSitlUjD/oJwykUIgkAw6MPtau3Whs8f8i5XrvFR/ElowdDyaoDPL43G5xPI76vj/W/tTByoY+VOD5+scfDgpRHc/14rA3touG+WlR6JCklVH1G7ImRo5p57PYe+eCnUgShS2BxLm6uNGKuIwy2TmSgRZRbJT/PRWnuMWRH9WPsLYWKNIHK6IYrjzhG8c88B1iyu5fHvCtCNTiWICz8hsZgkcTY18qdohV0kDJnFwOR78Te5MVt74CSRV1fpmXTWw3g+uBa/207b8SOYEjKI7ze2Y1G1cMnrDLj8IYI+L+qgC4vkxlixFsWWQ+bYaRz44mUA0sdM5+h37+OsD4WnNxXtxPHCLYy84x0i0vOQ1H/+tCQuu5fGajtG7SD62VREqNS0Bjq9wfekJJEUWcn1Z+fjC4S+MxqVwJEKP1OH6ynIUPP+tw5+2OPhqasiuHpmMXGaGJSgSM7plxDVfgCx+DsA5PJt+PpdRDDYPQWWTx8NESn4c06jIm8yu/d/hnaKjYIzJ1L8QAZH3tOTOsGE9QSnvbuljrr9m6jds5ao7H4k9D8Vc8Kf17Mf5p/HFJfG6Hs+ov7gZtzHxrH9wyADpr2J31JFsSBRVl/EqaPn0tZeS1J0JkrZTiyuM2g2du4x1qi+4a7kZ3ngeElHWbJaR4HOSOJd7xHMrcLKYITqURw5sIeAL0hEHyPmpD7dFv50zhG07ipiXSCdiydYGNVHy/TRBmQFHO4gCZFBPlz8dwCyfF9x63nn8MpiB/4AXDLewJSheu740IVR5yMzUcVLi9rRqgWCMnz0vZMP746mZ2pXhf/GtgCHj/vRqAV6Z2jQa8OGc5iTEzaKT4Lb5eONe3/g2MFGbAkmDh8YS4/eG2gV1iNhxEcN542JZk+Jl7V7QpOuz9e5OWu4nsvPMBFpFsi2+Rlmfw+513CsLS0k5A2nbf8RRkQNxdFQQWxKHhnjLsDb1oinpR5tZCx790Xw7G0hZdIx5/Zi0xo7X70lYnxuBZ9vnMpqbxPFTg8jFTeujS+x/NAyLOZ4Zl88HG2KF/UvUplER6V3u6+s9OFYzGHVyjAnR2kowRl3CjqTFVH65/YRNjYEmf+hi8uvMiKKoWBoOSjQXhZBbL9aFGBdBIz5hQ0jadToEo5SeXQoNr+MpA4NVC1tVajVejRa00n7sphjqXYewhTTh8JvyymY0jkJ7GO08k7tsXC+4j8olVX7OLRrKQG/g50Hl7B2w+vccM03ZM5ZCn4Pwi8W9KyWREaPuJpVa1/oKJMkDYnxeQAc/67T+HAUyzju9xA3VMXgFUYSoyWKqwKMKNCxYpsbt1dmzd/iaLbLRJoE4gLH8AmxRM+4GV1MFrqsCArirsdT4kCUdHznlbllhoUXvminqb3Tw/jsNVa07bvob0liRUY+XzbXYVTpGOmP4qUpq/G6/JzzlwEIGjWGCLDIU5BUoBfSCPhVKLSRLM2mPPgqRdxJQtIszPIYqtuSmPiwmTanzMuWNO6dupBxqRUkBI8SiMnDnJBJQv9xtJYdxGBLwl5bRmLuAIzbX6chcRy7jnrQ1pTRa/wMxtz2Km6XB7UpgtKf9kj/jLetkYDX+T9hEJcerOeFW75j5+oyYhLNvLb1VP5uUrFZMFMjw6lSkITSrUz/ZBJGvZOrp5q58dXmDkGgd1c4eGJOJJOHGthX6iM3w01O9m7a5RIsWcMwV6iQSUXUmkHS0N7vasqWvE/PrDEcKVnXcR0GQyTBFg+FcdPwJvRg/kezOo5pta8z7eGvcW2MRRFrCfrjkX4a5wN+L4WLXuXoylDqpuObvqJs/SJG3f0u+ojwOB+mE0tSFpakLFZf3krpN36ExHHsT7sGf9BJfvoY7K119EofQcDjR50xmCM7NtJzyHPY9auxSafhkkuYYisiU9ePrxsb6SmpGI9AvLOVQFYRLlUFgarevPfmzR2LPlu3zefqKz8jOmMSTUooGsygFHBsxWAWPrKKM64bjuIo4IxBRoqqgkQYoX+2jl6pflKTB3C8chebN9xGbq/1LLr/XrS6WBxuNec+2NDxDqpV8PgVkdw5r6XjXu32ACs+2sepM3LR6dXsLvZy7zstrNzpQSXBdWebuXGahfT/g5zGYf58hI3ik9DW6KbmeDN3fJhLTEYSV71sYWjBeC6b2p94m4deiTbcfbXMfblriMnSzW7+MsXMNa6bUH5YjzDgApoamtj9yQvYa4+RPHIGQux5fPPlMfTmFsadNwJfsAq/SuLH/WpeuC20MqfVq8gqiOXdR0MJz6fdkkrQfD7TNOew8us1FFb+iCyH3G3t9lqKStYhK0FyskZ1XEtiYgEXzniVL5fehc/nJD4ul+nnPINOZ/5/9BTD/NFQmktxRg3GYI365+opCm+86mDwUA2xcZ3GtKPKjNrsQ6UPUKyHoADJv4j0l1QaBHUVWn08DZv1xI8JKarW1xcTYU3+1f7M5ljailaTO2Eym+ft72IUx2p0aESRI247vQyWX20jzH8f7pZ6GtYvx7fqKyLTejLn3L+xs3gNm7a+S9aFb8MJiySiKDJy+By0OjNbtr1PdGQakyb+laTEkKJw/DA15cu6euWSxmoQRIFki5tkk8y4/hHcfaEVSQotoHhaGyjfuIQ9y+ah0pqIH3sdrz9UzylTgwy4fgv+/ZEcW/4leXPP4WCNsYtBDPDcpw4+u/858HzHaMXOGLOBZcu9PHnjZx3nvP3QOj6oOIWyqItxIIMMInrcRxbxw45oxgysIy1uJFGSg8qlX6FJbWaPN4I2Z8iD2dwuc9t8E1mJvdkwYSXa2BwOrFlIXO8RROUMQGMw4/c4iBDdVMWPYfv8zkWD2n0bGTv7ZszRmdRXFiEIIorS9R7U+pMvRv2ZKNpbyws3fceeDaF9kg3VdkoKS1m3cjZWSwK99REcqD/CQUFg+vCBHK5J4b0V9i4Kuf4AFFX4+bHIywXjTMSkLaZYuQ8EqFK/R2LMHOq/qCJ76pvgcbLj/Wfwu+0MnHkdcbYc9h1eQWJsLqP6z8JXeAjZaGXdrs7cxHp9BKcMPIvkbAcHDzzAj/OLqC+ZTN60GzAnZuKsLaPk+65bq1qP7ae9ojhsFIc5KTEDFEoXgbrgGL1tI1EVl+PZspP+487n8AcvUdLaQNrQSeSNn84X7z/C7CtuZq/2SkAGNdgizTyn+gipVYvKdwB9ZhLrDfeilZNpOOjpEgWhKArrNszjgtjXiHAX4na7Ed1p3HHpIgBWvL6ZFa9v5uy/9KX/+AQ+f2wfkz+dgUFv5fzpL/Hhgiupayii9Nhq0lJycTs1vPHDxd3ewQNlftLiVJTXBbAYBQpSRZrqYzhU4kHvbeD9zVpW7gwJ5waC8PIiOwNyNGGjOMxJCRvFJ8EUBXeu8NEYfR2qwHCyk1/i4+9UfPxdaKDJSfLyzNUnl3x3e2VwNkB7FU0JZ7L/x1rcKXOJ7e3Fq43l3mnfoigQGWPA7VZYMi+UMP0vD48FQKUWufDWfhiiPCRmWKk+1kavcS686iMEPW6qavZ3GMQdKAq79y7qYhRr1HqGDJpFVuYIPF47kRHJmE7M/xkmzE8oAR+01+Bwef/p0OntW31UlAeYcmPXyXR7mRVjbEi0ZoMV8p10EdSS1Br8Pi+xScep3hxP/GhAgNq6IyQk5P1qf5JKg05rJioftn/QTP2RFmJ7dgrQ9DFa2djWGDaK/2BUbltOydJ5FFw/l2DvY9QaHyW35wDUTaf9ap3IiGQmjruN4UNmo1Hr0PykXi0rATJmyJQvV1G7KbQf2dpTIutcFcH9XyF//ziK34M07nbE/KlgCP1+Krd/y96PHvup9XqOLryd6+55i737jGi2XYwpuQbj+RnIDUs4bpzV7Xp8AYWlW1UkR4/H0+rFU9fG0SNdF0/7jUmixfo20GmMyriJTFzFp9/P5sWFKfRKkVh2UxW5OX3Q29YQKBwMmLv1JacOp/rIAVqO7sHVUEn+ebeisUQT23s4BPwcmf9mlzqKHKSuvoWWHz/F3dZE5vgLKVnVmfYn+/TZmP/kWw8O76ph49dFHQbxzwg/7Slua6+hrb3m51IkUSHaKnKs9oRxF3C4FeacaUalUnBE3tvlWK35I2KH38SWF29nyO0vIqo1JPY7jdad60jPGUhaxsW0Fu3m8IZ7GDf3UcTWYlZUhybvgwafRZ8xOTit31AtHybn+mkcecVB+YZF+JxtDLvpVRRF6bKgIQgikVl9kLR/zpzSYf59YoY5sfXTYbJpaCsspvbHHxh620ts/dtNHXmxyzZ/g6DR069gKpWahfzyOxXETpvxO9LLVoFrL0HbqwCISAQCJ0//ufj1Q8y7fyMAeYOqmfvMabz/+AbsrR5GTUtl3M2VeNMf5JqMZ9GZ/Njt9SQn9WHE0GtxuKoJBHxs2/Exubln4/N36wJBUMhKVJGXpuaO8y08/Vk7K7Z7sVn9PHFlBMdqu4s1bj3kZdaE33YQ2Vs9lOyvo7nOSWJmJFkFsag1f141/jBho/ikBA3FNGgeQkCFS7WFGy6sZN2eZNw/qQwE5JBiae8MNfuPdb6lQ3O1xEdJiHmTaQ9Y+OCNOpa8G1Ld7T0sCUtUZ9iHs92LNbrTsD6wrZJzr+1PwTg3B8ufpqK1imkPnk9G+qkk5NUgi3eiMkcxavTFrFn9dkc9vc6KgoJW0311XxAEYmyZ3crDhOlGSzmYYnE016Oz/H6j2OtVePvvDqaco0el6hqu3F5uxZTSjkeEPSa4rLZrXVGlRg4G0EX5kGp9NBcGsPQI0GavpVfPrqmYTsRsiqHNWUmvCalsfHMf054f03Esz2BhXVsDcxLCv/0/Cn63g5JV80keMxHHwJW0q0LbSNxSGdqYrXjk0ejEX48e+OWCX5u8g/Lga7ijS+m3ZDa6ikn4Km1E9JTQt60l8MHMjnODn14Fsz5G6nceLWWHOPrtB93ath/fRXZqDgf/fnuHERLXdwwF51yEUSfg9HS6Lq6ZaibCJNBk1+NLtfD6FYsZPjmHngPiObIr9ALojBKK2D2/piA50GkEJBGeuEwg8euLkc69C7n5cwalno9O0xePr7Ovu89RiO0zhJjhZ5E29jwkjQ59ZFzH8YDHhaTrbiBJOiNNJfvwOVrRWqMpOP8Ogn4PlsRs4vuORq37c6u3bv++hLZGF5GxRlrqO/NMO+qisFqSaGuv6ijr23cadq2ZaCQuOU3DD7s9HccEASYP1bNog4tLJuqQ6ZqzWsaHqFahKDK+9jZ6PnYmrVFrifWkE+scxI77H8Tb3kT/c+dg+OYmCPoYP/pmlmx6iz5jsqm3hvazI0J74o9kX/kwux9+jppdq3E1VWOKTSV52GQqt3xDZEYBKcPPov7gFoqXv4P8U25a8X9AJC3M78cWVcFpV3yDK+Usij/+gbSJU3Haj8EJooDHNy9j9JTPKeOHbm0ERDsoLkDErYVkcQ6V8ttk589h8yYB5RdtjRhxCW5/Gdeac5l3+xEO7aimocrO8yun4dB/i5L0FQ7dZrSBTNCV88b79+NytXD6+DtpaSln3eZXSU3uj8/nZvuOd7j89DtYu6frOzhjtBGxtgZLqo09ZX4KMjTsOeqjuinIVX9r5s1bo1m+zdPlHnql/fZ74Wjz8NaDa/n81R0dfT0yfxqnnf+vZeYI88cgbBSfBI9STYZ4FxBEJoAmdy9fv9zG8aODUYIqZAQcHpmHZ0fwwx4PWw95GdtPx4AcDRX1AQam9KDMMZQlN3zT0aZKLeF2dhrQPm8QvzdAep6NskONuN12Zj5oo9m7B1vBFLat/Y74HBVK/zspEUpABgkT/Ya+ijnCyp4d67BFpZOc1I9VP7zA7IvmEwzKSFJYQCDMP4/SeBTBmoy9ppa47N6/u97SRS7i4iWysrt+ShQZ7JUWYk+pYYcZkn1gOkHcVRBAUqkJShoi46uo3WTCE1mC1RyPKP3jQctkstHcUkHepP58ceM6Jt0/BEOkDggpUC9sqAjvK/4DIarUmOLSiByYQ5Xq8y7HvEI1TqUYHb9uFP+MXT7Aj4GzkH9Kg3SEW8lKbyUjK5TjOLBxcbc68sbXcccOYP8nz6CxREJV1+OJBX3Zt+DJDoNYEERSzhtFddo4Pn/4ez5eKVNaHWD6aAPJMRJ3zWuhqjHILTMs3LVwKneP+5TL7hnVYRSXH2ojOXALHt1+FMWLKGipCS4khknce4GGnASFU4QNSBe/QrD+OgSgIHg93z/wMX9fnU55g5qLJ2k5pa8aMTIUDWGKS+t2XyqdgfxpN7Dhqcs7y7QGYuLjqEnOofHwDur2rqdub2ibzpj7FqC1/HNbJ/6I+L1BVi48yMW3D+PN+35AlkOT+PVfNjD91reoaFpCWflO8vsOJS4vQNB0L42HHmfrPhsL77cxb5kDjQouGm+iuNJPTVMQUZBQEwUIJItzAAWNYqPdE1IsFy0ylZGvggIO7QFatRvImXU9B15/jQiDBM6Q0Fru8W3YZj5FnfW5E65axh9TgcYUgaLISBo9Kp2Bvhf9leic/oiSht3vPdBxduXW5Yx96DNieg36f/BEw/xhaDiCdv+zCEYXWks01r6pIS/PCRhsSRjtNSTZLqVN2tRRriOFWOkcmnNzUEmJ1EubsSt7yZTuQTBnM3Xs+xw+Ph8FD4NHTsCb/i5u9XbS81K5NfIhnr3sIA3Vdjz+RqL61CIyCJl8/LX9ePODKzr6+WzxLcyevYt+6hvYUqiQkyuSl1SJiVI++msP3lnhRKeGqyabGZ6rYpUnjosfbqbVIWPSC9xzcQRvLG3neH0Qr18hNkKkvjV0nwN7ahjdR/ebj6rkQH2HQQyhdYNnrltO/pAkEtL/seOgqrSFot21BHxBMnvHklUQ3s7wRyFsFJ8EjRBNZXAeflrQEINWSCEr7VJUx0rxO01EZRh4c7WJecscpMZK9ExRU1TpJzZSZGCWRHH6Mqq3XNSlzX2bK7n60VPZtba8o2zhi1t5d+t0TEkuxMgaqsQXaFU2AzB2xlxENNQInWp/QRw0GxaQnD2ZtNgnKSxcR31tDUNynuPuM7ZzxiVeZlw3iMjYP/dKf5j/e5SGYrAm4NhfRPopY367AtDWKrN0kZs513b/vbmbDEjaIGp9gE1W6OU8SQOASq0lgBaT6Sj1x3NwlB/GGtE9FdOJmM2x1BSvw9BfR/qQOLa8c5Dxt58CQJJGj0+WKfO6yPiTe73+LEhqLb3OuoaG5nWAyC9D9gBEQXvSeidiVw50GMQ/Ux58iQThAnRiIphOMjmxxNNWXUrd3nX0vfQ+mop2oQRDIddaSzTmuFQ8jdUdp8eeMoKmpC/xUIqgL+TI8QwizRIPfdCK16/w0T02XvzCznOftTPovhiCQYWCIUlccd8oREkkIVuixvcJLeqf94OK5PIqvsJGzs2vQGdsIaiNRHYdR0qYA/4G5Jo3GMgEnrvoWe5wDePO1mrEUlhvOZUCo/Wkz0JWFOqz+hF8biU6l50erjYSY0U0ejUD0h5iw5NX4m6uBUEg95zricz43/CADJ6QyXuPbeCb9/dy1cNj8br9JGdHsf37UjYvq2TEw4WkyRE4xc9oogmA/J4XEqdN5u1VmQSCCm4vzH6mkZEFWjISVKzf5+WuUz7FJZRSJN+CTChk0zJsML1Vt+BK29PlGgK0oUoNGeOy0DkN0x3+jiS9jqZsCycmbxeDemS/jwFXPooxJvSNNMamkHPGFWx8+oou5yqKTMXmpWGjOEwXZEQEQLNvIf2m3Ik7ECCYXkNEdh6tRw8BobSHfS65CSnOTrNqDdniI9TLS5CwkiheyJ7gBSjq0PcxmonoSKY0+ASqoy9y/9QKpl9/GVOfKKRC/QgKofN84nGSRxRhjtARn2YlIdPIMXkZMl70Qga1x7qmFe2RM4EvNkfw9MJOCf/8NBuPnOVnUIaL1AlONi0r5tgqMyqpHwfK/Nw4zcJb39ipaQry8Aet3HG+hcc+bsMgybx2qUCLYsEaoaFftpaspN/2FLc2dA+7trd6cLR5TnJ2J2WHG7n1zAXUlIeybuiNal75/hLyh/z2vCbM//+EjeKT0CbvJICDTOmv+JRGZNmPVowhISWKZ65az/kvnM9b3zQAcLw+yPH60F6jYXk69JIbrS8Hv0dAkgSCwdDAl1kQjcbk429fnc3qL4sYeraV/GHROCPmc1iYh0KAGM4gRbyGCvkNWk2LiZbP7HZtbqWUY4vT2PpNKb2HDufz13bQUHUQgHcf3UBmXgzjZ/5vTG7C/N+h1B9BNsThde5EZzr5JPtEPl/oJL+PuiMn8S+xV5ox2Jw0qaFKA2c2nbwNSa3Fj4je00RED5HC+kL6Dpj6m30b9ZF4vHb8fjcFZ2Xy7cPbGH19X9R6FYIg0MdoZVNbY9go/gMR3eMUVDUmhGAdldK8jvIoYTxGoefvakOk+2RHwoDwk+EhFkxF3vASeH8KX5bUSCPn4q+oQVFkir55h4KZt+J3tiNp9CQOmoAluQdpo8/l2A8hsSxjYjwu1U70pPPpunh+LPYDnVFAC1Y7OXuEDllWqGyCKVf0JjE7QNBvYf7ze7ny7EgwlZMu3IJLKaVBWc5R7uOUvvM5fsRAoPg4ucYrIegILQ3oeyEm3YLLsZdvhAIWNld09LXTXoJFtwObMBGD2DUVz9rWBs46uBG/onBmlIn7c0vYKz5NEBfJlisY+7cP8JS3ozaYMSVkoNL8tvfkz0DuoCSeW3kRn7y4ja0rSxgyIZNvP97HzjVl3Pxmb9rYBGLXcFK/0kybbxDzljm6RJqu3+fl/bvNvPB5O7fMTMZu/AIBgRhhCkYhh3btHqzDkzgiPNvtOozRqfSf/RCGHn0RqtagHA2Fqor7lpM59S326K4DQp2piCBSHMmoe6Zgjs/A297cxasviN2/wScrC/O/jd+agToyHaGljLii+TjjbqLWfIykm/JIK59A0BXAmJRItLISpbEZu7mU+uBXRAqjiBCGURJ8FAWZOOE8IoVROJQDaMRY6oNL0aliyOzt4Kw7oVmzDEUJdOlbsJZzztXTOX1WHprII+QIj+JVamhRtmFUd/12Zec/xF2Pdd1icrDcT7s2gqrSWu6e/jkXPTyRHVIGt98fmotr1QJPzInggfdacXoUgjIMz9cS4W9j75LdzLh+EPmDo/B5Ang9frS6f2wYJ2VFolKLBPydC7RZBTHEpvzj+dGO1cc6DGIAt9PPgr9t4eH556JSh9/J/3bCsbYnwUcdKeLVVAU/Cq10iQpuyigtLubwjhraXMqJWzAAiLaKaPWFGD2nsOqzw1z7xDgS0yN4dHkfbly1m9Sr7iF+4jLmvOVFdeYcvLY1lAuvoeAHFBqU5YCMhji8VGOU+3brI8o7ky3LanG0eDGYNViiuu4Z2/B10X/moYT5U6PUHcYhGNFbIjsEZ/4RTY1B1q7yMmbcyT149goLumg3myzQ0w2qk7wv8FP4tM8fMk6Sj6J4tWj4HQrpoojZHEtzSwVRaRZs2VZ2LjjccTjfaOWH1vp/0ECY/zYEQSAisRcZujvoo5pPmngL+dJb5EovoRF+n0igWeiLhq7e4CzpPrRCqExM7o/q+h+QznkBacrTqOauRUgfRmRmH9R6M67GKvZ/8gxFK95Db0vAnJBJzY+rMCdmkzx0MoIoYT9aTpw8HVHQ09refZLj8ihUNQSZMsxAZmKQs19eR3X6FSScvohnv04iI0+LgES5/DIuSsiRHgVApgZHYwuZEe9B8BcTQvdhgrpkHtDewzUVXfMyq0SRouBdHArOxad0rjy1+H3cVroH/08D1XUpdprFewjQhoKfCvlNGrXLickdTERa7v+MQQygUol4+5nY9UAcsS/3pVUd4MDWKgQBnM1qopl0Qg0BlScLlVY+6bjv8yucN0ZFg/5B7Oykh/QkKqyUyy+j4EclmenZOA+DnNtRR08GUaaR5JxxOeasAUgXvIU062PEifejmv05karxnKJaTqZ0Dz2lpxmoWk505Gh8jlbWPT6L7++ZSvG37+Npa0QUJXqc2dVTLIgSKcOm/AeeXpg/MkJ0JrV9riUw6UmE3DORPB7SvBdjixiA2LuSqGEJxMTFIJmG4AsOJbvpftRE0qR8j4wLH030lt5DJ6RQqczDSxUW+pEjPYYpez83/dESHgAAIABJREFUvZNJdcxNRAqjuvUdbxxB//uepjHnAnxCHYeDt1IhzyNSHIJBzMP8UxRPTs5EdIY0vP7uL5siSOz8oQxRFIgakMOC1Z3eXK9f4ZXFdmaONaKSYESBlrfviObMycnc/97ZZPeJZcu3R7ll8gJuPO1j1i4+jMvuxeuT2XrIw3c7XJRUd6pnZ+TF8NSXM7ElhPR6eg6I54EPzsEa9Y+F7KpKWrqVlR1uxOsJnOTsMP9thD3FJyFCPg2HtB1QEFAh46A6+CGOtruJTjDj9SmM6q1lw/7OkI/U2JDwVmp8FUa7kwGjc/jwqU08vHgI3iFX0EojKFDKIWKUydiECdiVA936blG2YBH606JsRuPNIUf9FKXKE8i4iPHPom3vSH5csx6308/uDce54ZnTeOXOVR31c/rFdWszTJjfQmk4QrtKRqeuIXjsHtAmItqmIWhTT3r+F5+66D9Qg9l88nU1R6WFmIFVbLbCGb/iJQaQNBp8Pjfoo2hy78EkpNC0P0Ds4N8ObzKbbDS3lBMX24O+52az9qU9DL40F0kt0ddo5dHjhb/r3sP8d6EVYogVJhMrTv6n6xrFbAaoltKkrMKtHMcmTiRCGNrlHDGxD/yUtulnrCk9GPvgQo5v+RpnbTmpI88hNn8YTUW72Pz8NQBEZvWh51lXE5M3FJOUSkBuZtqpbhZ83zUTwYXjjKza5eacURoiUz6jTvoQRQlyTDiEXXsQHdk0K2sBcCgHKAk+RoZwF44yFT1ydegZDoE85Lr3IBCaYAW9h+gTcQr8Yp3HptaQa3TRArQqm3ApRWiEYaF25QBH3aE9C4kaHUb1Jk4MBqwJzidZvAK18M+pzf8ZiFJr2elsYTstZI018NTp5xEltCFlPIBNOheCQZpYiYY4jMf+Sn11EkKckREFfjYd6Bz3U2IlPD6F8UMc1AmfgQLtwR/Jkh6AoEiLshGvUo927Vj0wYkkT7oGIcpLlHAqejGlox0xIgX6pXS5xkhiiWRYx//rD29l07NzOv6/+70HEVUask67CFuvQYy5/xPK1n2BpNaSNnoaUTn9/4NPMMwfEWNMEsH+kynf+T0qfQwqQUNSxVPo4y/C5ktBDlTjU6VzYOVuSlYvQ9LqyD//JjSD7WhMcfQQnqFJWU21HEod5uAAzcH19JKeo9X0Fil5CRTTRIB2EsSLqJU/R0RDmngTTcoKnMIOUOBI8DZSxeuolN+lamcih9YJ5JifInWMjS2VfXj0IwdThxlYurnzqxVpFumRJKJOtzL7npG0+7rPPcpqAyRGSzx5pZVtb67hlEfHoNGEFtn3/3/snWd0HNXZgJ87s7O9adVldVnFluTeG2DAGEwLPaF9JEDAhDRSCARCAiRAIAFCEiD0Enrv3YYYDAb3Ilf13lfbd2fm+7FGtiKbFtxgnnN8jnfn3jvvjO7Onfe+7YMmfr5gR1321Sc9wa1LzuO1zVaufbiPeAKKs03c86s0ZlVbkWWJmQtKueejcwn0hknNceFO+fzM7lMOL+axWz5k9OQcphw7mg1Lapl+RAkO1xcLATLYtxiW4l3QvjIfKZqDT5pNl/YaVnIJspHcUQodzQPkpMn8YIGLc+Y7Kcs1cfLBdi441k1NQxxH24cE40XEIhoHnVBBwrqVOF1Dxu/UX8YhyrGRN+zcDlFKQo9SEriHc8rfo+n1uXQ/9He6HryTWw4bxZXfeZ+zLp012L7mk1byy5JWlNySFGYtKNuzN8fgG4fWvwHCXQz0tWNPLUXKPg9hK0druws9vHFY+54elXffiTJztnmX46kxiXCPlbq8CIoOWbsoo/ApsmImEQmDzUtHeBsZOUX0rleJD3y+tdrlzKC7OxmjnznKhyvDxorHNwOQb7ETUBPUR3YTzGzwjcUpVVAg/4gK0w2kSYdhEl+s7m5KURVjv/cbZvz8dnKnzMfs8ND8yRuDx3u3rqbm2X+w9tEbWXR/J7b1p5Bmz+a681KYUmFmQqmZa77vZemGKAum2vndvf384ZbDETUrkesfxRE4j26WoIihyaxUAshRD0v++DPCLSvR6q9Ea78XKf9ykLa7/7unMtbzCg+NSufMjCwuy0/hkcoETsuLg+Po7LCsZCoWTklPJibrS8RRteHxbHZRgcS3s3xPmc3J1YVVAGyNhnjA1E4ov5eg5T8E9PVUhi9kdPczdD9yM5fN7CSalsdjb8LPTnJx0fEuyvMUTj7YzsJj3fzi9h5WbgshscPa3q29ObgZE2IT9rI0Nr94H+GP4uTJ5+OQSr+0zO2r3xv23eZX7iEeGkBWLGRWzWDqRX9h0vl/Ir1iMpLhPm2wC9y5pYw6fiGlR5xJ7vipiOAyiGwD1Y8kKzR+/AmbX3saLREjHvSz8p4/Yd5cSGaoArvIo017bMh4KgOoeohM6Tg0JenK3KI9wIC+igLpR+RLF6Po6cRo3alPEBBYai7j0kNXkzcylX9dWkN3rJor7+1n0aooRdkmLjw2+Vs76SA79/3Uxes3vkHt+i7uueY9MhzD3xGmjTZz+DiZ2gde49X7VlC/cce79xuPrBvWvjFk46r7kwoxQELVWVYT5f21YTr7kl+m57goqsz4QgoxwJgZuVy/9Mf4zj6eO+ryCc2dR94hYz6/o8F+gWEp3gV1aweIrHVRfmYUi8gmaTE2I42+lxte/C1CFlz/736icZ1xI83U1Md5YlGI8492cnD+xWz8KMCytz8h6I9x3GWZOz0KkgiU7clgZByUEySpeJjJwOs/m+bVNt5ZGqO/O8wrD66hckoOt/5yhzW4u3WAlHQ7vZ0h0ka4WPB/Y4nHVEZWZ5BV8O3b9Tf46uiRBhJLDge3h4HQCBwpXkBC2MoQsgut42HkET8GU9pgn2efCDFuvIJzN1biYJsTW0qEl1J1qodXnhmCSbEQj0boN6tIIQ2nMxWtRKXpzRgFCyxI5t1nj3Y7M9m0ZXEy1bWQGHfSSN668RPGn1qGbJIY5/SyuL+Ts4y4YoOviM2TPuw7xZXOc4+up6i0jOWdcOV9vcwdZ0OW4JqH+onEdI6YZMNq1jnzcC9LVsYQYhprasdw/qkLkEo+HjZmuK4LXU3QuXEDaRXZEGtFa74VkXkWUZuDLfZnMMs5zHb3k+f+EybhI0M6mi3qfQA4xVjsYoeiZZZkLs2vYECN83x3K5sDoynzlhIRyU0jGQdF8s+Qv2ACs28aFknmwuwSZnnSaIqGybPY8JlU+rSFxEQjfqWZzPBaDp1RzuglJ3DxXX0cPd3B1pYEda1xKguVwXUfYMkKN5UH5RMiGb4kYyNBMvO0QEHfnvut9p3HKJ57GootuVET1Tvx6x/Rp32MU4zCK6YPsSAPkdk9PITA5s0wyi4ZfGVMjhzi7rlorXchFf+ZRAzq3v3nsHYd6z4is7wQGQUJKxpDE2MhoF69lVzxQ7Kl79Gq/ZuAvo6gvomR8u8IsoGYNtQ4JIRC27oUouEWetoC/Oj6Q2n171jvb3nKT266zJQKCxfNV/jVtGRN5HMun43ZIvPh3e9y88JDuOK+PgZCOqMLFH57so3LZ/yNWCypMO8cw+twD9/Eb+rRcTsE5y9wke6VyfLJPPp2gF/e0ctBYy1cf76PSeVf7hkZVGWufizMO9tLR63eFuftFRFe/GMGFfm7NiQY7D8YluJdoGk6d/16C22vH0+29gPatZfIk86jV3qL/LmrEEJnZpWFba0Jnn4vNFiruLLQzAsPN/H7s15m7omjqK/p4t0HE1jio4eMnyOdTqf+MvXaLaSJ+ZSG78W+9hbib/yDSw/ewKJHO1j0dDI+0u42D5aM+JS+7jBOrxWzReawk0czdV4Js44uMxRigy+FHmsnseZwhDoa4StloKsbu9u9o4E5G+GYgNr+MJ9mA/b7Nd56I8qM2btfKAaa3ITzB9hig1HDEzgOQVKStYqbY/WkJCyQiOAuljHZJbY9GyXYrA2rofgpJrMVs9lO/0A7ANlVadh9VpY/lnwxrXZ4eLO3/YvfEAOD/yJ7wlwUx47fhCQrmIu/w/JFjbQ16+T4ZGJxeHVZmJc+DBOJ6VQWKjz/foifnujl3dUR4ipsaoozItXCXU9UoPUNjbfzhefTsTgZSuPILEB4DkkeiDYQSZ/KivQX6JQX0ab/G1XykyWdRpY4mbDegEtUUShdQrV8NxYxVIEvtbm4v3wqaybO4wjvVCYqTzPG9G+q5HuYrLyFR5q0Z2/efo7DZGKaO5WT0nOZ6k6l1J5BhekS0sR5qBYv7dkFOH3p1PenUl1sYVNTjA31cfIyTEPWfYDKAgdC/9RSLOGT5tKvJzc/cvrPpeH51wFwjyhGKMnXLk2P0aD+nVWJ06nX/so69Xw2qBcPiQ3fmczqmZhdKYOfhSRTccLFyN+ieHCDrxchmdHSLgI5Ba39ISRrJu4RxcPaOTLzIbwBa8hEvvSjIccs5OFmMuPl5zDhxqoXUCXfTbF0GUXyL2hW/41PHEKEhsE+qWIeA9oKTNbke8XyxfUse6uWLM/QTfCmTpV1dXFk0w77XeOWHjJy3bz3xBpS6tbzzl+yePPPmdx0ssr1R90+qBBPmltEYUUasZjGis1RJp45k+Mv3hFKI0mCvAwTV52dwj2vBvj1nb2cfV0XLrvMsTPsLF4V5cbH+wmGP99rbWfW1ycGFeJPqWtLsK4utpseBvsThqV4F/i7w3z/ijk8+NtVuG+ycME/rsWWO8BoZQqR7rEs3RDnoLFW3lweoa4t6WIxs8qCSQaXz0o8pvLqw2u56LpDadjUhXPD9WSNXElYrMbuH41Vz8OVXoUp0YEr5iXWHaO9rZi+eivzvlvFinfrqfmkFatdobA8DX/P0BIjU+cVU1CeyoyjShk1KXtf3CKDAxw94Sex5iiEZw76Nj+a00GgbxV2j3tIO+GoRI/Uove/j/DM4sVnQ4yuVPB4d7+fNtDoYtmsHiqDYN5Ngq3B8YUAs0RXdCujzUUw0I7wFeKrkgm1CloWx7CkCEYcbEa2Dbcau11ZdHfX4XEnfwcTTi3lzeuXMf6kUiY4vVyyrd6oV2zwlfEWjGL8RffTuHwpaDFMqaN47pFedB3qNidIFW2ce5SPu15OukR4HBLnLnDx6zt7SGg6RZkmbny8n5JshXMXuMhKlWluymdC2d8IijCR5iDd726m5d2XcGYVkpbVjbAVo5u86LKHNuV9IuzINu1nGYXSL/DzCV59MiPEOci4idNGRGtJlp3aCZssU2r/NHGdfZchOwY7cJlScTEHXVfptywn0fsfFKpw2jykOE08uyTENd/38ubyCFuak2v/lAoznb0Cpe0mCrKfJkWahaZGKdX/SKJRp/mFD/E3bMZkdZB19ARC0iZkzU5M72FAXzPk/D36IoJ6DWYxc5hsnrxyDrnqcbo3fkIiEiK1bAIpJYZbpsH/hiVjOhHtbsxKB7raTvmCs2hb9R6JaAjZbMWWmkVGgRn0BCY1RJa2ALtcTI++GDvFpEqH4ZKSoQg+aTYgCOqbSGZOF4w13YdF5DBRvERYr8Us0jGRSkjfhGtcKbkj23j3uY0cdmolhT6NHxzp5O5Xks9Tt0Pww2NcfLwlgdNtJuCPMe6QYib932y6wxK5uRZG5StYzBKdLSlc9q9jWPFeA6Mn5TBxbiH9qsIND/Rxy1MDxBI6J8wey00fTSLuD5GZZUd2KVz/WDc9/h2K7+OLglx9jpfn3w/xyodh6tsTjC784hZeswJCDN/LV0yGDfJAwFCKd8G4gwr43elPM2pSDtmFXu77ZTtT5xUz8TiV1fWppLrh2SVBjpxiI80jIYRgQ0OMxxeF+N3RycREW1a3s2V1O+Pn5JMu2XG0+oj0TyeeUHBlZ2Ffcf5ghlEzMN4FY056iWUfFtDVOkBhRRqp2U5GjEzB2W0hNcuJxWbi/D8cwuxjSrEbQfsGXxFdi6Ku+w7CVoxIPx2t/ZcEUiuw2h1DdmSTSEieWWg9LxCVxvLKi1HOveCz3ZHbe+wsz2/lzC9opB1w9uCW0pEtaej+VoSvECEEjhwZe5ZE30aVupeiFB073J3a7c6ko2sLxUXJhDRZo1PxZDv56MH1zDi3GpsksybYzxin4UVh8NWIm3K48mf9IASxyDJ+fNPhfPh6HYpZ5oYzHuOqp77L5J9n0tCeIJbQ+cMDfcTiUN+msmCKnWvOSeH+1wP84zk/V53txWPux7X6Mlx6gqDzKszF48m9qBJ7ziR6ti6irU4lpeBmbLkuGk0XDJHFLSZgk3KxkYwX7tYWsy5xDDHasJBNpekOfNKcfXGbvlEIIeMVk9F8GVQGP6Qxez4fb4pz0hw7K7fEOHSCje/OTa79m5vi/OVJP/OnVDIu9A+aCt5ji+l2MgKn4uicRUpeNXmTFiDnqWzL+Q1m7XfERDsRvQmAAunH1Gu3Dp5b06O7EwtPbhmeXCNviMHXhxACSziILmLo9T/HXf4Yh151J4HOXvwttVicVpDtYHIACiYlmywxmixO3MVYScXPKcpxMrSMXoqYSQo7Nnu8TCLgi/Dzmx2s+bCJ3vYgkoC+gMpVZ3uJJ3TiKlzzUB/nHenAlWLjp3ccR5Mth5/c1ENCBcU0wG0/9nH2PCfpOS4OP62Kw0+rGjzHQ28McMOj/sHPFkXw1np48HWddG+YX3/XTH9guCU4FE1qtBV5Cj73l9tQry5UOOMwBw++sSOfyZQKM9VFhrp1IGD8lXbBqInZ/OSmeWxe1Y7dbWbszDw2r2pjy3sewlmwsTHO/Ml2zrtpqJvT787yUhsCSQJt++9s+lwvH//9EvKnz6PqiFFIZht6pANMvqFlNwCzWWHGUSPJL/fR0xYkJcNBflkqkiSYuaAMWRZ404z4SIOvjq6rqDVnoQsJKfvC5JedtfQ5R+FI2U39PZMPYSvlpcfXUVJascu6xJ8S85tZMqObUSEdl/r58sS0EH3mLvK1aoQtBb1zG3oihjAld2aFJPBWyHSv1mlfGid7ztAdW687h7q6D5PbstutwRNPL+eNPy5j4mkVTHL6eLWnzVCKDb4yBRVpnPv7g7lte5b/+679D3/49wm4vBbKJ2Txx+8+xsWv/IRrH+4f0u/QCVa2tMS57dkBfnGKh0v/1YvbIajKrIOU30OsBWf4AxzW1wlnPsq7f/k5oY6kooQQjL/wZsxT8whLyVAaV2IGPtPBhLVGojQjdCsb1UuJ0QZAlFZWJ85kimkxdqlwb92ebzSStYD0Qg9TTRFUzUZtW4KJpWZueKwff3CHKWhKhZmaxjieUf8gLfIyKabNDDymUbP4t4NtCo/6DvaTRhKzdrFNvQ6XGE+BdDFxvRsr+URowEzmkNhwA4O9gSZAJBpAjyMnugh2w5K//njQ3GlPz2XOL2/E4ehE1u3wNTleLXurlstOfhKrXcHhtrD+o2bKf3QyV90/tPTclHIzhz12DlvadX7296RCDBBPwE//3kt5nsKs6uGJsN5bvWODKTtVJt0r8/v7k8/pba1w0lWd3PZjHwtv7hnSz24R2K2CP5zjJcv35WL23U4Tl37Pw4wqC/9ZE2XcSDNzx1kpyjbiiQ8EDKV4F5gUmalHlODyWgkFY1x6whO4fTbO+tUMHIWCtl6NIyabuPIsD/e8EkDV4Kx5Tj7ZHAVhZvpRI2na3Msxp48gS1pEd6CPLW8+QeGcB3B1XALRbUj5V6DV/Rb0ZJyByDoP4RiDJEsUlKVRUJY2RKbUzC+WQdXAYHfouo665Sfo0XqkgqsRQkYf6AZdp6/Lj8O7e8UxIk/ihVccnH1OCLDvtt36Lhebqvs55zPKMO0sz9bIx7hJQ8QASQZHCvQ3Q2rRYDshBL5KE82L43g7NWzpO9yQzBYHJsVKX38LXm8yw25asYes0T7e++cqJl9QzLPdLfwqv+LzBTIw2AVmi4kTLpjI2Fl5dDYN4Emz0VLbR80nLcw+ppzv3nAc2OHaH3i544UBYgk44zAHq7fFicY1Zm3PP1GcI5OTEoPAMjQtjuSejrAWIzK+S++a2h0KMYCus/mZW7F0/QmR2oSekOjpziN6cjurEqcSpwcJO4Xyz2hTHyXEVgAS9BOlCTuF++ZmfQMRipeynFaI16Pr+TR0JPjbxT7++VyAdfUxDhlnY3K5mbtfCpDu8eAPHklO2MHWxT8cMk7dK88ybc4f6cp9HIABfQVhvZaAtpli6XJ69LcpkC/ebaItA4M9heTLRA+7kYquJxYzs/rRG4b4/4Y6m+ip3YS90obKADL/u6eipuk8ffsnAERCcSKhON1tAU5OD/CLU1zc+2qQFJfEb05z4RUhzr01znfnOoj9VzWLcFTnow1RyvNMpHuHKrAV+Ts+HzHZxpOLh1aj0DToC2hUFymsqY1jkuFXp3moLDLx5p8zmTLqq8Xrl+eZKc8zc96XryposI8xnNx3g9WmUD0zj2fvWI6a0DjyjGruvvpdfC6Zt1eEaelW2dIc5/CJNhZMs3HvKwO8+EGYslyFE86v5oL/24Rj6xV0r3w6OaCuo0Z6IbQK1AG05luQ8n6NVPYA8ph3kAv/iFB8ny2UgcH/gNZwDXr/IqT8KxFSctdSb98Kvlx6Wlpxpe5+/r34kpOiwhhp1sXArgOFY8A9I2BSnQ3bF8hN0RLbQFQNkCbnkYhtj5t3pKP31KL/V0COZBJ4R8p0LB1e3ynFk0t759DSURO/W85//rma4qCZDSE/HbHIsH4GBl8Um8NM1dRcDjlxFHkjffzj0reQJImH/ryELb1mPtmUYCCsM3eCjWOm23jwjSDPLQkxo9JKcY6C0ya4/HsuqkJHoTXfiiRb0KN1AOitdxGPDHeZjQV62PhBN789tI4rjtiGLzWT1YnTiZO0amiEqFWvI0s+dbCPQEFheJZig/8NYclmZJ6TySUasYROW4+Gzy1x9jwnbT0Jrri3j8mjLCzfHOPZ/4SJRnbhdaPrJKLBwRrVAH59OT55FgHWMkr+22BspoHB3kQXEfR4F1rbgyRUQdTfM6xNIhyg3xpA58slntodQkBa9nBjz8pnVsAbb3PbyTFuP1vQ+uy7tEfM1LYm0HWwW4eaqV12QUKDjY2JYWMdPM7K6O2K8UBII2UXFTPsFoknf5/BS3/K4J2/ZPGb73k4dobzKyvEBgc2hlL8GURDMfq7k+lzzVYTkVAcGzHKcxV6/BpVRRY+qoly10sBuvwa/zffSUEaZOeaCDR+TCy4w53OmVOMXd6pFEesGa3haoTZh+SZiVB247pqYPA1oLbcmax9WnA1Qt7hgq+3bkZzZ+Dv7MK5G6V4YEDwwgtmDjnMBCTQA8Pr/anAbbIdW69CdfSz/aZ1XaclWkNbbDO5lipMioVELKkUCJsXNBVCw03NzjyJqF8n3DZ0Ufal5NHSun7Id+5sB6UH57Lo+k+Y4vLxXHfLZ8pkYPBFCQVi9HaGiITilI7NoqVbRdWSFouG9gT/eilAe6/KkVNs5KTJ+IMaR06x8J0xHyL5jkTK/iEIK/S9BdFm9KyzUIqsg/F4n5I/53Q2rYsw79QK7l1yEmVTIEbHkDY6Krr+aVZTQbl8veF+u4cQapAS+QEml5qQhI7dKrjt2QE+qokxfbSFNLeMqsGa2hiOjBFYU3OwpWZTdPAp5Eyah7ugglDGqiFjOsUoAvoa+rSlaCK8mzMbGOxZRKITISngX4S5ZSElhyXjhWWLjdxpCyiYcxIpxWPosm5MlkD8Os4pBCdcMBHFvCMcy2pXKBqVxuKna/jLGY/w1l0fsnxxAyYt+U5x/2sBrjzTi9uRVIy9Tolrv5/C+ro4NstwdWZ8qYXHf5fOQ5elcdxMG5ed7mXnnJtZPpkpo8yU5CgcMdnO9ErrLscx+PZguE9/Bg63lcNPq2Lt0mZCAzFcXiu1723ijMMq0HTB0/8JMKHUzHdm2ZO7Xh4JT/96rMoGZl5wIRtef5fOdR+RWTWFiiMXYO4bmsoeYQaz4SplsGfROp9Ca/g9UtGNw7wR9OYaeqU07F4PJmXXsTMPP2yhqkolNRVQx6H5lyBbRoCSLA8SA/4u2+lEZsI7mVgPqt+tLAk9xrbwxwTVXgos41EkK0igqwl0TUVIMriz0Ts3IxxDQwiEJHAXS3Quj5N/1A73Lbc7i+CmtwmH+7HZdmwujTu5lCcvXsTk03L5t9bAednDS00YGHxZ0nNcTDykkEdvXsrpl0wntURh+dYEzy0JUVmgcMWZHoQQlOfJqCqcc3iUSZ670U3lkLCAHkSLdUFwDcI1laA1QlP+zYy/9FK2PfYckd5ORs47k8KDTubKgwJse/1eNt5zHZ0lYyg58Sbq8n+Hyqf5KAQp0sG4xHisIheHKEcSxrK+R5BtWORO7L1tjM1LZ0yJk8oCM5qus64uzt2vDLDwWDdHTbUxIkvHe8kdNH3wIg1LnsPiSaP6lEvodbywfTBBpnQ8EVowk4pXmoIJI0TKYO+jazHU3leQXJPBMQERXE5BWQvW//sVakKhdtHjJKJhfMUVuDOmI3u+vrw2VdNyueM//8fK9xqIhuIIIXjwhvcHj4+szuCdJ9ez8ZVVnHX4GB54I8hfn/Rz/gIX+ZkmYgmdbr/KqAKFscW7fn+pKDBTUZD0jBsIqTx/bQZL1kTwuWVmVVmYUmFYhA12YKyen4EQgqwCNxdeewiLn9vIuVcdxDtPbWD+9x1YRuZz9jwHdW0qfQGNUQUKVeldrLnxZISQOOSKO5h8xonEWkyYEquQep5Byr8crfEGiHeC7EYu+xfCbmSSNNhzaL1voW65CKnwWoQlZ3iD1k20O9x4MzN22X/jRpmlS00sXLjdiiG7EPZK1J6XkdO+Q5vs5K+KHaeus6DeRI8rColm9HAHqKFknLDsBWsB3WoHdZHluOQ0Cm0TkNixQywrFuKRKGa7HeHMQO9vRg/3ImwpQ+Rx5sk0b4kT6dSwbo8tFpJMqq+Q5pZVjCzZkXnX6jIz4ZQy6v8hDkR5AAAgAElEQVSwhg1/zqA2EqTIaiSqM/jfsLssXHLrfG7+2Wvcf90SvqtYyK6u4vRDHYNWiLElCk4LjHPdjbvjF+j6QYjcMWgtf4d4G1iLEKkngimFBtNzhMU26kdfwbjLH8CdmIjVm04sNMCq235K5/qlALQuf5vuTcsZffUFNKTdiECmTL4ej5iMLBnVCPY0kq0Y1TkBtxdq3lrHlrUdzLz4cD7eFE+u/0UK/lCCk6YFMHWsp239Zja+cAcA4Z423r/xh8y5+n5sRTmATo++mJC+iUL5ElLFoQix+wSGBgZ7jHgnkiUHPdaOlHUOWlMP1sC/cKXexuKbrh1stuK+axhvuYrsua7PGOzLIYRg1MQcRk3MobPZzyN/XUrQH8XuNPODK+dQMCoVq8PM8397n3NvSWfeb4qoaUpgVQRL1kZIdcscO8NGZaGC6QuUPHLZZY6cYufIKbvPi2Lw7cZQij8Hq02hflM3Jy2cjKxIzDqmDIuso22tY0y+h+ppqYS6m4ksvpH65a8CoOsaPVtXkuKMYvb/a3AsreFapIwzwHMEwlGKZDMsVwZ7Dq1/CWrN95Dyr0DYRg47rvs7QU3QUtdEyYTxw46HQnDzzVbmz49h32kNEZY80CO8H1zF3amHMUuNMTnRT1tDGhb7Fkj0gJIBVjvoKpF4K1sDrxIXErnmSmzy8FABWTGTiIYx2+0gCfDkoHdsRBRMG9JOkgSeIonOTxLkzd+RzTE9vYTa+mWMLJ4zJDNmxRH5bHyrkSlLNO7K3sa1RdVf4U4aGAylaHQ61z19Cg2bukkkNGRTkM6IBU2W0To6eP+eGiqnZuKdH4b836IHVkBwAyL7AvSGqxD2Kkg5Bt0kSDPZcOpVeKRpeJSJmETypTPY0TioEH9KLNCHvW0C4zOfwSzScYgyJGFkNd1bxB1zef3RD5DNZuadVoni7+D4UjMdCSs2p6BK+xEWpYpwg4Mtrz04pK+uawzU1ZNWcii92rtkiGNxyWOwU4pVytpHV2TwbUdXQ4COMHnRti5EZHwPYS2j7Z3hHl/bXn2MwhmnoOyBzeX0EW4WXncYJy6cjCQLhIBFT9dw9m9m4stwYnOZiDRvY7bDRPr4Eo6caqMiX8GiGO7OBl8fhlL8OVTPyCM0EOOuq98lEVU59JRKlr66laWvbaW4Mp3f3HkUzrYPcJeMJr2wDCTB1tcfQrFoSffonUn0oQdWIBdchTC5980FGXwr0PoWo244FSn31wjHrhVBvWkD/fYRxFtiuNKGJueJx+HPf7ZTUKBRVTU0RlgHnnJP5y3Fw6l9S8mONqNLCoGW8/FVNIAlGRKgodEc30abWk+anEGKqiHpu67lIJstxCIh7NuTBAlnJnrzJ+iRfoR1qBLtLJBpWRQn3KFhy0guiB53NrqWoLN7K+lpJYNtJVli5g+reP26ZdxXBZfmVeAyfbkSCwYGu8LmMFM+PptQIMq1P3iRionZvP7IWmKRBIeePJqgP0akeyXmwFMACPccJNtIVJMXYToaTFnIriJymLbL8WXFgm/keHImHooajyIrVpo+fBmzxUeqvOs+BnsWfzc8fftK5p9RzQevbOU/L24iI9fNaT8Zz7gR30HEmyD7eCSaMLt8KHYXhQedtP3vZ8Hmy8YrTcErTdnXl2JgAIAW7wdhRVgLwVaB3nYPuikFiz2ZPd2TX0He9KNR41Fsviy0xPCEVl8XJpNEVoGHjSvaaNzYzb3XvMf3r5jDqw+vpnFzD1PmFbPgrLGMKTFcng32DHtdKRZCzAduAWTgLl3Xr/uv4xbgAWAi0A2cqut63d6W81NsDjMHnzAKWZF4/ZF1PHbLhwT9yaRABRVp3LDwVQ47IQ9f252EOhuRLTbGnnEZvsx6tK4Xki7TzbckaxLbK5GK/mIoxAZ7FK3zSdQtP0LK+w3COW637fTGNWzrlckqHoHYKftEd7fgr3+1IQQcf3xsaB/gQUs6tXaVH0qfYPcGEGYFXVfJdT+JxaER78mmo1OiNlaDVdgpUqoxCzPIMYg1oyPTk8iiI+IlnLBgklRcOPHEtzJYFEoS4MpB79qKyJ0wRAZJFnjLZNqWxCg6zpJsKwTZWZVs3PTOEKUYIKMshdLZuSRuaeeW0Zv5bcHo/+X2GhgMwWJTcHrM3P37xUw7ciRmi8wTt33EcedN4L2VZ3Bo5TKkjDPQHWMhXIeIXwCaD9lV9Jnj2tKyyR5/MGsfu3Hwu8qTf4Yr10ikta9QdZ3CUWk8c8dy0ke4mDS3iJ72AHKiFpHoQMpZiB5pwjxqLuPTJtFbt461j96Ivj05UelR55I+ehpmmxE/bLCfENPQraWIWDtS5ulorREI15A5MgVP4WhGTDiMtY/fNFiiKR70U3rU9zGZ94xiumJxPT+d/zBnXzab4ECMWy55nXFzCph4SCEr323g1B9P3SPnNTCAvawUi2TQzN+Bw4EmYJkQ4nld13dOHfsDoFfX9ZFCiNOA64FTh4+2dykenU7Dxu5BhTgl3U7llBzeeWoDDZu6ueGpu/HaozCwnEBHEyMyaiC4Ei3RjZR9ATgnI5QSJPeYfXwlBt9UdD2BWv979Lb7kzHEu3CZBkgkdLatD7Lp6W5WNmZQOK6SrV0KoZBg0yaJ5csVpk6NM3t2HEnWiVuDRJx9RB29tLsCTLP6mamaIOpEi9nQ4xbCnWnoCQUcjZiz15IvaVg3lhNv3iGDP5HCqt6JrO8vBSHjswSwyHESmoQ/PpL+6Fwq1C6mjdhGhj2AcGWiNy1HT0QQpqELsCNXItCo0rNexVeVfIxlZpTS3LKajs7NZKQPVRwmfq+cul+8y713fchpl+Uz0ngpNfiakGWJExdO5r0XNrP4mRog6V4N8NdfbaD0tado/KgfVTVRMrKavFQPavZ4Yl0aFq9AMg31nlDjMfxNm/A3b0EIidTySXRvTFYu2PD0beROPQqbxyi7tC9oqOnmiNOrqdvQRWfzAK88uJrxBxeQU1qG6n2QeGAVFk8U4Yhj07LorVtPxXcuQpIV6t59ks0v30XetKNIK5+4ry/FwCCJLpAFQBy19kpE+kmItBNw08fEM3/E4ut+BkDJ4Wdg9aShxiP4GzfiKxk7OEQ8qJGIgC11167MA31hNq9qp6PRT3ahl9Kxmdhdw/MghAIx/nXVYlRV5+0n13PaT6fy8I0fsGJxPSuAn986n4Jy49lnsOfY25biKcAWXde3AQghHgWOA3ZWio8Drtr+/yeB24QQQv/vwqV7mRElPm584VRWvtdA3YZuYpEE/7pqMQDRcIKVS1pZ+vI2LrzoMFyuGiKWEpwDT0C0Ed3/PsJ5JGDUITbYM+iRWhI1Z4GuIo28FWFKGdamuz3Gw39r5JVH23G4wCKNxJqi0LRaBz2O2azhy45x6uUBZF+IBmc/eDsw6RJKyEVXzMsH/momtujYtKGLX8eaEYQyVxHeGsMjlZHqlcguqyWR387a9+fzQfMkagO55DtamJG2FI/UgbDmsHNVuO6OXjoZx8Prp1Ls6eTQgo04HD70nnpERvmQ8wkhSB1rou39BPYsCWuahJBkigqnsnL1sxx68E+Q5R3hCyaLzOGXTCR05fucOupN3jllAW7Djdrga6JsXBZXPXAcq5Y0IQT0tAf4900fAPCf1we4/fLkWuH0WPjL06fScaOH9g97yT/STNUPbXjLkkuxrus0fvAiH/3j54OWmZHzzkJXE/RsWYmmxokGevfNRRoQ9Ee595r3OO2n0xACZJNE7YYuttWobH19Dv4Nsxn/0whZM7vZ9tYjbH71PiCZDLD6tF+y8YU7ifqHl5szMNgXJEJ1CMLoka3o8XakERejNd24vRaxjO5+ADUepeK4C2n5+E38zZsB2PbGv5lz+YN48itoez/OJ38KMlCvUXG2ldLTrDhzdySNi4TiPPTnD3jguiWD3y287lBO++lUFGVocrlYNEFn8wAAdRu6sNhMnP/7g/Gk2aiYlENxZTomxUhIZ7Dn2NtK8QigcafPTcB/+0IMttF1PSGE6AdSga6dGwkhzgfOB8jPz99T8g4hPcdN2bhsrjv/JUKBHW6lY2bmsXlVGxtWNNPY4se2qhrvpTW48y8HJIR7OnpLF1Ll7L0ip8G+Z2/NT13X0dofQqv9BSL9FETqCcPqnWqaztN3t3DXdfWMOQi+c+NySN9M87ZCmvvGsq2zgJbeHLoG0ujv9iLe1jFJCTRNJqGZcJtD+Bz9BH0DTPXUE/A1YXX0IQQk1DhNvT30ZW7CpXjIkUuQkYn2Cz5YPI7l3aNp7s2j1FvLkZ73MEvb45ESSjILu5I5KKfdBqXWTVSkdrGuO4c7V8/i4CwP48KvoaeXDXHxBlAcEr4qmcbXYhQdZ8bklPD5CujurmPF6meZNO6UIUm3fIVuDvrhGBb9fA1zXSYeOewgSm1fXybNA4l98fz8puNL03johiXEdqrTffAJ5XzwypbBz4H+KE/fvorK+pkEmzU23BWhe3WC+U94sHglAm31LL/r8kGFGGDL6w9Qdcol9GxZidmVgiN1xF69rr3N/jw3CyrSiATj3Hvte4PfTT9yJM/etYLjD3PR94yDdy6wcOh9I9jy+o5EW7qmUvPCHRTMPgFH5v51TQZfjv15fn4ZNE1FxJrQw8sQJjNCcqB1PYuU/1vQYyAUbMKHM6sIXdMGFWKASH8nW994mILJv+Pl4/vRtr8Of3x1iJhfZ8pVDoSUXHzra7qGKMQAd/z2HWYeOZLiqqFVL7ypdk68cCK3/fotADYub2Pj8jb+uegsRk/aRfUMA4OvmQM20Zau63cCdwJMmjRpr1mRC8pTufm10/nHpW+xeVU7kw8romxsFv+6ahEAgVCInrcyqbwgDY1XkzEaqgz5RhzYt4m9MT91NYy6+UL0gQ+QCq9D7CKbeX9PnKvOr6GzLcwhv2tmfTCd1984h60dRXgtAXLdfWTY+5ie0kRKVg1ucwhF3vFSr2qCroSDl+O5ZAxY2dBQwTtrZ6FqEhmuRpzWLfhMEZyajQFHgo0xJ62BLLb1FuA0hyhJ2cbUMU+Qkl/HQFMhwdbtL/QmN8R7IdEFpmQ9YpPJTCwSwu3yMi6jiUJ3Nx+2lbFBS+PotK1404bH4juyZRIhnbpXYhQfY0GyCoqLZ7Bm7Qts3LqY8pEHDWlfPDOHSH+MZRds4OA/hzhmUgnnZxcz3ukdpnR/k9lXz89vMkUlA/z1qbH8/Q+tNG7qZd5pIxk1OY9rfvDKkHZ12zqYlAe92/2jOj5K4K9VSR8vEQv0kYiGho2tJmLYM/KYuvAmHBm5e+Ny9hn789wsrkznT0+dzJ1XLqJpSw/T5o8ktySF+/74H+YfFAWSWXm3PCbhLa6kd+vqwb6xgV6yxs7BbcSEH9Dsz/PzSxFcDdE66H8DkfdL1Po/IGWehd71JHrCj5T1fRyZ45j+k7+x4fnbh3Xv3rwclyM+qBB/yro7w1Sebxu0Fvv7IsP6qgmNwPZQxP9m3neriEVVHr/1I9w+Kwv/dCijJhsKscHeYW8rxc1A3k6fc7d/t6s2TUIIE+AhmXBrv6F6Wi5/fu5UFj1Tw1P/+JhFT9cMHsvwpNKigNllRcq7FKJ1iNhmcBgLocHXhx5rJ7H2WISSilRyC0KyDWuzaU2AX55Zgz4mn03jPbz42gJKPc0UqGs5esQzOLOzEMrnlHORdFY6zRRrrZS5krWKQ/Ew9X1RBsI5xBI5NLRnolk0pICGVY7itfZzRMlbOM3BpKxhB/21I3Hl1WN29dO7rQwSJlA8EO8B+sDkRbbYCA/0o+s6Qgi81jCHF6xnfZuXu9fM4ODSNiaM6OK/dVd3sYwWhfrXohQusCCbFEZXHMHqtS9gVmwUFQzN9Dr6qEIUmwnpx+vp/rWFk2a34VYULswu4azMQmyy4Z5l8OUR5izGjLiMvz51LZGwGa95Ke8vHV7/+6C51XQ9suNdWkggbw+vs6dlY0vNJtzdOnhcVixkj59L6RFnY/Wm7/HrMNg9QghKx2QysjqDqmm5rHyvgTcfW4c7xYo9tmPTzpYFgcjQzQ13bhm+krFIkvF8Mdj36GofBNciUo9GbXsQOf8y9P53wXc8knMsWMsRSiopxamMmDSPpg9eHNI/f+axmPThc9nilZB2eq0YUeTF7bPh7wkPfpc+wkV2oXdY3+QxN+dcPptjvj8OxSzjSTVqChvsPfZ2ga9lQKkQokgIYQZOA57/rzbPA2dv//9JwNv7Op54Vzg9VsbNzqewIg1JEqRkOLjkmmMZeNHNuEt0UvJaILQaEv1gLUSyGjtdBl8PengbiZWzEY5qRO6vdqkQP/NIN0dfoLG44mg2p7iYWtzBL2e/zSz5MaYU9+KwxD9fIQaWmVwkgFItjKqptA100hboItMhqM7pocLSyKSMlcwpeJ9ZeUuZlLOCkb5tgwrxp6gxC321IxFCJ3PcMqy+TkAGkw9UPyT6kSQJk9lMNDgw2E8SUJXVw1zna3zcmM4Dn5TTGRiadEsIgXeUjGQSNC+Kg65jtjioGn0UNRvfZFvtB8Ouq/SQXI68YgqRuxqY8KNG5i6TeLShjoplr/Jwez374SPHYD9HsuYg5f8Gh7yNVNdGJHsRY6ea+fEN07G7zJgtMmf+YiplmcXE+nbMr+of2XCXJPenbSmZTP/pP3BkFQBg9aQz4xd3klo63lCI9xPSclycsHASGz5uYcvqdkrGZPDrP5xE84PJHAWyFUpPbKf65Iswu5K5Hdy5ZUy56C9YXMNzPRgY7AuEORctuAbiHUhmH/rAMnBNB1sZkqMS2b7DNTyzeiYVx12IJCsgBAWzTyBv+tGkjZVxFw9VI6Ze48CesUNZzilK4cbnT2XkmGSoVOWUHK5/+hTScz47dCkt22UoxAZ7HbG3X/6EEEcBN5MsyXSPruvXCiH+AHys6/rzQggr8CAwHugBTvs0MdfumDRpkv7xxx/vadF3SSyaoHljP/FOQWiNiZQylYzRyzFrr4GuI9wz0GyjMTnLP38wgwONL+Rv+3XOTz1UQ2LNEYi0k5BSjx12vLMXzvyVxrtdIxiV08qkSS9Qas9H0Tw0fPQBrqxsrMEOkE0IV9pnnmuNycEm2c7EWB+BcB99kQHsig23xYEkSagRBX9TOvaMHiT5iz9HFMcAjqxWdFUm0DaCSLcXPeIH2UVctREd6MM7omBIbLQ+0I4mTGxlAmta0xiV0cPs4lZclvhgG03Vaf8wjqdYJm1C8gU1GvaztuY18nLHUVk+j/82M2uqTt3SVja92Ujbhh7cpW7aCmRcRU4WTq1iYnUO+eVpmEx7e//wa2Gvz08D0EIbIdaDFm9HxBoh0UfHwCQ00wgySyqIdsq0f5igd1OCtDEmMiabsKUNtbiE+7uI9nVgdqZgT83eR1eyRzng5+ZAf4S+zhBun5VYXZC2D3TQ4mRN9uMrXo3wHEzYnyAe6sfmy8LiMhJtHkAc8PPzi6D1vo3Wfj/CPhqijWCvAO9hyI6K4W0TcYIdDWiqiiMjH5MluTndvzVB29I4oTaNzCkKGRMVTPbht6+/J4S/J4I3zYbLO3wj3+BL8e2J9drL7HWleE+wvz2YtGgLemgLQrIhHBUI07czmc+3gL26cOqBVSTWLkBkno2UMm/IsVBUcPV9Fv72mpcMvZdj5y3Fkb6OVHUiJhx0b91CZMCPb8QItNrliOxShDQ8ekIDYmqMNbKDbYqLfH8DiWgAm2LGZXaiyMk+WkLC35CO2RVGse86Nuhzrgaz24/V04vJOYAatRL3K8RDToK9LkJdCibFjRAC2WLDbDFD11bEiHHEhJ117T62dnuoSO9lUl4HWdtdu9WIRuuSBDlzFJwFSUUjHgtTs+lNrFYPk8afjNns2KVE8XCCrq199DQEWNfQRVurn/QuSPTGqJwygjnHlXPIiaM+d4d7P+Jb8WK3v6IlghDehK4OIMzZSHYjhGYnvnFzUw3XQ7QFISkIZzVCGl5yxuCA4Rs3P3eHFtqCHq1FKJlJ77NvUW6NAxjjj7SHMJRiA4Ovzl5bOLXet1FrvoeUsxDh2ZE8KhgR/PMlO396wo3c08vh5a0Uz34HIXRStHHIKET8flpXryC9vAKpqx40DeHNAkAHBmJB+iIDBGIBAhq0ppUTUZwUBJpwCAmbbEGSd1hKtYTEQHMqkknF6g3+t6hfHqFhsoaT/ywBZGsU2RYjEbYS7EzB3+wk6rfhdliR0BCZoxBCEInLbO7ysLXbg8WkMiqjl5LUflK0AD2fxClYYMaalpRb11TqGz6mo2sro8oPozB/EtIuNgV2pi0W4amuJiwhmNflxL+yl9XvN1IxIZtjfzCeOceXY7Xt12WdvjUvdgYHHMbcNNifMeanwf6MoRTvIQ7Y7NMGBt8GdD2B1ngTWvPNSHmXIZxjAahtN3Hb8zbuecuFua+HCc71zDy5jqhvBRa1GLdWBAjikQhta1bhyc1DCvSgB/sQmSXENZWucC/toT5U2QK2FPrd+bRZPGTEw4yO9yJbhltU40ELwXYvJkscy9ehEAPoEomwg0TYAaSBHgEthOIUWD0x3FPq0OISvfUe1HYPcl8TIiUPq6JSnd1DVVYPnUEbTX0ONnQU0h+x4LOHcL8SpHhUjPTMGF5HjPSsmaSmltDYtJwNNW8wIqearMwK0lILMZmsw8TKMlu5MHskywM9PGrpJKXAylGnz8SzLszjf/uIGxa+zLQjSph9TBljZuWRle8xdtkNDAwMDAwMDA5ADKXYwGA/RNfi6D0vodb/HiQLWuGtrGwewbPvmXh6iY36Xguu7hbGKsuomrgex9guYmEZx0YHSryHoOgjGknQ3x/A6bQQDXTQoDhozRlDjzARlhRUWzbCJ1B0DVtCxZWIU93XhxUVISQ0Abom0BImElGFmN+OpspYvUFM1q/iMv0FEVaQzMSDYeIDEJQLUJwa7sxezGWbifU3EeutJ04VuppURDOcYTKcSRfquCroCVnp7FKoWW9jXaOXiFAIREzEE1XYLIdgU2KYWgII/Ai9EbsZXA4rHpcTr8uN3WpDUUAx6ShyJkfKGbTGAjzX66fRMUDF6dlMlkswbwjw3N0ruPnnrxOPJcjK95CS6cThtmCxmjApErJJApFMCCZJAtkkYbUr2F1m3D4bvgwHGblusgu9+DIdhmJtYGBgYGBgYLCXMZRiA4N9yBMPL+f2Z1pQNY2EBrEEBAI2ggkHQSWXoHiEuLTDimmOBHCFOqjw1ZI6qQfZorI1XMjAu9VEdYEudHQBmhBokkRCkSEKREFCQ+pMIKs6FlVCqNKgD44K9AF9eHYpp0ADSQehQY+DT+tx7nl2Du/IRQgdiyWKxRpDNtUmW2iCeFxBVWV0XUFDBk3CbIXMLEFfZwqWhIkUkwCTREJT0DUFTTaR0BzENTddAUFbv0DVBBpS0kKPjI4JXZfRkAAnkHQ7X7L9H5DM4V+9Q16TFkfpTWDS41hQsQkdExqyriX/BpqKrmpoCZVErJ9YuAs1nqwNndpeiz3Yh2KWSctxkZrlxJNqw+G2YHMoKJakoi3JEiZF4qSLJh9IMc4GBgYGBgYGBvsl34iYYiFEJ1D/NQ2XBnR9TWMdiOc3ZPji5+/SdX3+5w30WfOztOz2MdvyjvjMwFQpEcca8mMxh5HN6o4DugSahI6O9hnJkQUH/m98dwh0hPjs64upCqo2vJ7i592VL2Kw1XSBKlnQJAVVMqOL/22fMa3uw3jetlXCJGxfaKBt2vO1HXzcs5vD//P8/BrY17/jPY1xfV+NPTk39+e/yf4q2/4qF+wb2fbU/Nxf7/P+Khfsv7LtS7m+0Pw0+PJ8I5TirxMhxMe6rk/6tp7fkGH/OP8X4UCQcU/xbb52OHCu/0CR86tiXN/+x/4s8/4q2/4qF+zfsn1Z9tdr2V/lgv1Xtv1VLoP/jQOy+KaBgYGBgYGBgYGBgYGBwf+zd9/hUVXpA8e/505JZtJ7LyQESELvghRBkKKoi921rw11dV31Z++url1X17a2tYtiRVFBeu+dEEjvvcxkJpm59/z+mBiIQSwLBPR8nmcemXPPPffceJ+Zee859z2HggqKFUVRFEVRFEVRlD8sFRR39fIf/Pig+nA0HP+XOBb6eLj8kc8djp3zP1b6+Vup8zv6HM19Plr7drT2C47uvv1aR+u5HK39gqO3b0drv5T/gXqmWFEURVEURVEURfnDUiPFiqIoiqIoiqIoyh+WCooVRVEURVEURVGUP6zfRVA8ZcoUiW/ZUfVSryP5+kXU9ale3fT6RdT1qV7d8PpF1LWpXt30+kXU9ale3fRSDpPfRVBcU3M0ruutKD7q+lSOZur6VI5W6tpUjmbq+lSU35duC4qFEElCiIVCiB1CiO1CiOvby8OFEN8JIXLb/xvWXX1UFEVRFEVRFEVRft+6c6TYC/xdSpkFjASuEUJkAbcCC6SUGcCC9veKoiiKoiiKoiiKcsh1W1AspSyXUm5o/3czsBNIAE4F3myv9iZwWvf08Oc1NJZRULSO6po89l/aqrWpFmdNKYbu7cbeKcpvU1dfTEHROmrrCn/xPrq3DWdNKa3N9YexZ4qiKN3L8Ho6fdbt+x2wF7XEpaIoyrHL3N0dABBCpAKDgNVAjJSyvH1TBRDzE/tcAVwBkJycfPg7+SN781fyxtsX0dRciZ9fIGfPfIZ+WdOoz9lEff4WvK0u/EOjiRswhoDoI98/pXt19/X5W+XkLuTNdy/D6azFZgvl/LNeIDtzCpqm4aqvxFldgsUWRFBcDzSzBYDm8gJ2fvocRcs/JzA6iYEX30t031Fomql7T0b5Scfq9an8/h2t16azqojmikJcdZXs+PgZzP52Ui+5iXfmXEdjUzlWawBn/+lpBvY/DbPZ2t3dVQ6To/X6VBTlfye6+86mECIQWAw8JKWcI4RokFKG7re9Xkp50OeKhw4dKtetW3fY+uiVLTjlDmuKruUAACAASURBVDyyCauIQG8O5annptDYWNZRR9NM/PWyL6ic9yFFyz8DKQlJySTz1FkkjpyGZjoq7j8oh5b4JZUO9/V5qNTWFfLYM2NxuRo6ygLtEdz410WIpkZWPHoFLbVlCJOZfuf9H+knno/QzKx94UaKV3zZsY8wmTnxoc8I69G3O05D2ed3dX0qvyvH1LVZsXkJq565ljZnI2Y/O1kzr0P62/hmz3vkF67uqCeExs3XLyEhvl839lY5BI6p61P5w/lF16fy63VrpCaEsAAfA+9IKee0F1cKIeKklOVCiDigqvt6CFLqlLd+QWVRNdvWr8ZkNjF4wFloovMomGHo1NXkU7Ts046yxsKdlK77jpjkVMwVm8FshfA0tIQBiF94J9njdtJcugdPSzOBMSkERCcd0vNTlB80NpZ1CohHDP0zwUExfDjnbyRG9CJ28hkUfPA8Uvey5a2HiOw5CP/QKErXfIvQTEhDJ3XkFBLT0rE27EU6YhCBUd14RopyZHnadCxWNUPi98RZXcyqZ6/D09KMZrYSNmAUldYWcsoWER2VQd+sqXz7/eO0tjqQ0qCqfBeRjZVoBcvQrDZE70loiYO7+zQUpQujrhCZtxRZugktdRQibRQiKPZ/btfdWEtT6R6EEAQlpOMfHHEIeqsoh1+3BcVCCAG8CuyUUj6536bPgYuAR9r/+1k3dK+DU+bSXGKnqqCRiJB0bLYQ5nxyB+PHXM0nX9zeqa6/Zuuyf23OOvSiwYh5t4K7Ee24KzD0Nkxpow94POlqQFbvASHQA+PZ9tlL5H79OgDWoDDG3Po6ET0HHfoTVf7wLNKM1WKnzdNCStIQvF433y18AoBdzCcivAeTppxH8VdvAeCsL6XZTyfkvIsxoZEUmUHi9o+weIugoAzvhtcxzXgMLSqjO09LUY6IlfP2cOP093j883MYPV1d878Xrvpq4k46m5YADY/0EBzXm3nfP0pVdS4AdlsY48fM4pv5jwIQZLIgXp+BNHR0gPkPY541Hy1paPedhKL8iHTUoM++Cpn7PQDG0n+hjZ6F6ZSHEWb/39xuc3k+q579K/V5WwCIyBjE8GufJig29VB0W1EOq+4cKR4NXABsFUJsai+7HV8w/KEQ4jKgEDirm/oHQF1VDe+/fzONTb7HnDXNxKnTH6C+oZTIiDRqavMQQjBj2v0Em4O67B/VMxttx2eYxl6PsWsexoqXkKlj0J0NWANCO9U1avPR5/wVmfOtr6D3SQQEDiV90p+xBoWht7nZMfsZRlz/L6z2rsdSlN/CWV1CU3kenroqTj/pPmZ/dRu9e03gu++f6FSvti4fvW8I4Jsm6Aw088pL0zEMX0K5oMBorpnxCBGf3Qi6B23YBRj5K1RQrPwhfP7qRlIzI/nsPxtUUPw74rGZmLfnPeoaigDfZ9+p0+9n7rwH8XjdtLjqEUJDCMHUibcS5XWDoe/XgAt9yyc0GQFYbEEERCd205koyj6e2gIc8ccj4kdjy/0CrWwTxooX0UZehoj77Y8+NRTuJHbgOCJ6DqRg6RxqczdStu47ep98+SHsvaIcHt0WFEspl/HT8+InHsm+/BS3UUJh4aaOgBh806Q3bJ7DsCHnceWlH1FTm0dwYDQxMb3wNDeSMHwqpWu+BsAeGU9G3/5o396MnvM1pukPoReuRjpqWPvvmxh44d0ExuxL1CC3fwGNJZim3If0uBAWf1JDkvn+gzdpKs7BGhBCn9Nm4XE2qqBYOSRq92xi2SOX0NpcB0DGKVdy+ekvQZjfQffLvuwWFq54sSMgBmh2VJFbspGINge0OjAWP4029X70orVoocmI4APmzFOUY56UkvULC7ju0RN58oZv8Hp0zBY1jfr3oLRqZ0dADCClwep175KdNZVNWz4BIMgWwbmj76Z+0QLyernpcfLz2L+8pmMfT10pK566mrbmeoZd/TjxgycitO5cEVP5I2uuKGDjO89QsXkJQjORMf5Uemb3xLr9I9A9v6lNaRiUb1rI+lduo83RgC0shr5n3cj22U9TuW25CoqVY4L6VD4ILy4anUVdyh2OGpITBxMdlU5Wn0kkJg7AYrFhD49l2FWPMuHe2Yy96EbGnTCKwAV3dOwnq/dAcBym4GjK1n3nS8i1HyNvOdrAs9C/uRdjwSPo8+5F7JxLYv/jAGhzNrLtgyfwtDQf3hNX/hBcjTVsevO+joAYIPeLl7BLDW/yXIYN67waWkR4CnG90hn60B3E9smgoamiS5vN7iawBna8lzvnQV0h+oJHkB53l/oelxNXfSXG/iMrinKMqa9yIg1JfI9QQiPtFO2u7e4uKYeIy1HdpczhqCbA7sv/abOF4lfdSOE7z9C0dxu5X79OvREAUb33tREzBEd5Pm2OBlY+fQ1NZXuPWP8VZX9SSgoWzaZi8xLfe0Nn9/dzqI8YjMiYgIhI+03tNpfns/LJq2lz+PKSuOor2fnpv0kdfwbxgyccsv4ryuGkUiIfhJ+IJSmld5fy44ZfSFJC/wPuYw0IJqxHFvqS+yB3fueN9jC0wedhtLUgNBPFq+aSMf0yLH52GopyCOg/E/2T62C/jOByy8dET3iEHe3vDW8bLXUVhKZkHqrTVP6AGotzqN6xhrrcTV22tZSXYU2NIfOEemISbmDnlnUk9ejFwMxTaCncgNkdQNDuRzg+cwpz2p+r+0HP8BRo3i9YDkvBaK5ArniBprhRENWL8PQBANTkrGPLu/+kqTSX5NGnkjH1EvXckXJM2rutmvi0MIQQJKSFsWdLFWnZ0d3dLeV/1FKeS0JIPEKITmsQjxhyLvUNpYw77lLSIway97VHO+9XV4kn6zTMBUvRh19ORcG+lSoMTystNaWEJKop9sqR52lppmTVV13Ka6trSTjjBYQt5Cf3le4mZMFKmhsaqayoxFFbSezA8UT2GUZLTSm6p7VT/dbGGgKjU4gbpIJi5digRooPwiKCSEkaxgUXPU5MTC+CAqOZPuUOhg0596BrsNYX7sI5+DIcJ9xP46TH8ZzxKtroaxDJI5A53yBt4UhDJzx9IGaLPw0FO1j/n9uRtnDYL/vvD0zeln1vhMA/NBrZ2ox0Nx2O01Z+51odDax+/kbKNswnotcBsqJKcCx0EBgYgGXIO4y+1I9BY3vRvHUNDWvz8DOFIsu3kR2SxCmT7iQ4KIaYqAwuPedlknK+2deONQDRcxxaSALakPNx1ZSw8L6zKdv4PTlfvkJNzjo8rmbamuvZM+8Ntr7/KN7WrqPJinK0K9hZTWyy78dkXGoouZsru7lHyv+qzdlE+dpvSWip5S+nP0VcbBaBAZFMGX8DoyJSOcekMX30uTStW4zX5ei0r39oNFWBmWz09uarZ+6mrmAHMf3H+DYKgX+IysqvdA+zn42I3kO6lIf2HIIWkXrQfY3NH+PYuYil7z5LS0M1oXHJbJ/zLHu/extLQAhCdA4pzH52ovuNJiBKPUevHBvUSPFBuIwSdolrCcoYzCUpD9Pg3YjTvhiHKRq7PBmriARA90ia9urobklQqglHdQkNeTvI/epVpDQIjElm5MxLCGksQY66mgavPyE9+hKWmoXuceOsKWXItHMQ2z+DhEHI0o37OmGyIKJ7YbEF4XE1M+LKfxLiyMX770t9yYwm/B9a5pSD3t1TlP21VJfSkL8NhGDgBXfiqq/EWVWM0Ez0PvkKrEFhWGP9cbKEeO0CBGaKtZdIGP0XqldXUbxuAfZz5rDxrQdpbahh6tDTCYtPI1basUy6C63PScg2JyImC1m4Cn3tm8iASEJHjyA4JpmanWvY++1bCJOZ3qdcyc6qYrwuByWrvqLfWTcRFP/bpm8pSncpzW8gPDoAgJikYHatL/+ZPZSjXXN5MSIoGrfVjHPlQkaZBmJJCkHfVoypfxBa2nFsC3iQnlddSFPhHpwVhWhmK71O/guWwBC2vf8YCcMmkzhyGkXLPyP7jBuo3LKU/uffTlBC+s8eX+pekMYvXr5RUQ5GGrrvN6PFn17TLqNi02LcDb4VT6MyRxCVOeKg+xtN5ehf34Xz+HuZcOkoTKteRGyeTdyI02kMi8BRXkLfc+5g6/sPgpQIzcSQKx4mOKHnkTg9RTkkVFB8EM1swSG3EGuayXbrmWD1TZ9q0JchECSYLsJdr7P9BTcbn2hBeiFmlJmBd5rYPfeVjnYclUVsX/Y9Q6Obacs+m+q9W+k7868Ur/qKyOzjcNeUEJH3AbJgCaZpD2GYrcjC1RCaRMvIG1j/6RsMv/Yp7BHxBLtL0F+d0dG2/u6FiIs+QPQ7rUv/FeVAzLYATH429FYXW957lNRxMwlJ6oM1MJicL16hoWA7Qx+/Fa21hahSO5biIqIjZ1KfXEbE0GzKFy1n74L3acjfDkDJd+9TAhhn3siOOc/S84SZZE86FW37XIyl/wJAuJuwfH4dAyY+iimyBz0iL0E0ltAWaGA69Qo2vf8kFlsQmkX9AFSOPRWFjaRl+W6SRiUEseDDHT+zh3I0kpU7MfKWYzgbsIUPobK2lCp3CIXLOuf/CAmPpPf6l8jye5iq+BzGXHsrzRUOzBY/bMLN1sUf+QIDoRE3eALeVhehPfpy4sNfEJzQC7P1p5e8kYaBLFiJvvQZaK5CGz0LrfckRPszzIryaxnF69GXvwiV29GGX0JI9slMfPATmkr3YLL4EZyYgX9I5M804oW2FkLiUzG/fSa0+WYwmpY8Qdjwy2jsdTUVi/rRZ8Ig/KJqiMxKIjS9J77VVxXl2KCC4oPQpQMLYbhlMSA7bSvUnyNaO5Wm+kZsE3cyapIX16aebL4rgtamui5tVe1cg/ekR9Cqd9PW6KS1upCozOEUL/+M0LBQtOJVYOjoc29HZE5Fm3gr3sg+fP/vh/C2NLPuxVuY9Og8jFVPdmlbX/ESIvsUxEGmdCt/bLp04ZA7ccsS/KMTGXbdP1n1+F8xPK3kLXiPQZfcx+p/3dBRX6CRviYJ87w7AbAAMWnDsB53Ha7UBmpz1nc5RktNKX5B4eTO/4CgqFiSN7/TpU5IRCRi8X1QsQ0AK2Cb8hA54bFkn3G9mmalHJOqSpoYPC4FgKj4IMoLG5BSqh+ExxBZuRPPC5OgPbGWWQiSz3mH7auWdalbvnsrGb36InIWErW7DWPoCCIX3IRw+KbN95z2ImXRKeR+9Rq6t42EYScRGJv6i54jliXr8b442ReEAHrBSjjnP5iGXnAIz1b5o5CVO/G+eBK0+hK06sXrkY1l2Cff9au+b0VIItq4v6HV5XUExB3b1r1Jk0iivmEJQan/YNnlgxn7iobMWEKg0Qd/TX2vK8cG9UzxQQSITCQSE7Yu2ywiHLdRwZ74s6nLfpgGSwWNGRuZ/HU19rCILvUj0vpiaWvAGpnM3vnvYPI6CQ+2U7DkY3TNDyNpmK+iNJA75mIseARHTRkmkwVhMtPaXIe7oRoReIC7eUExINT/SuXADOmhzHibtd4JbNUvZK13AnJQKRP+8RHDL3+QcTe/TGtjTad9wppjMX/3n05lWt5a/OpqaSreTVhavy7HsUXEdmSyrt27A0Lju9Qx4e0IiDvKFj3K2L8+hTdsFPXVzv/1dBXliKsuaSIsyg6Av92Cn81CXaW6lo8let6yjoAYACmxrnqB8LSuSTWj0/sgqnLw+IUhXW5cuTuoP/5usAaA2Q9LcCS5X7/uSzwkJaVr5lG84otOybp+ity7tCMg7ujbgseQB8g3oig/xyjb2hEQd5QtfgrZWPKr2mkszqEutB+YDzDLwS8Qr9tFU8kOCjfcStqZbkqXO8nx/p313lNwypz/5RQU5YhRkdRBBIm+9De/hb9IxkzoflsEPUy3UCO/Qbqi2fncddw8rIIFT7VgX/ckIeFhpI/ZN8XZPzSafmMnYW4ooMUvBntEHKF2E0FF8xn9pwtxNtbTmDETgvcFEfqQi2kNSCJxxFSyTr+OnpMvxGILQBtwJlj2C9JNFkzHXaFGJJSf1CL3sFu/vVPZHuMurPoa4r+5nLAP/0SQzTfLQAiN3qdcCS5Ab+vSlu5soKFwB5GZwwmI3rfGduyAcbhqK3zPwQENNSV4J8+C/WYvyLAeeFpdXTvY5mDJ3HIuGvYWN0x5h4JdNV3rKMpRyus1aKhpITTS3lEWnRBEyd76buyV8mtJ1wGW0WoqJSItu9PzlsEJ6aQmxiA8DtqistBKN2K4Haz/9A1cU59AjL4at6ulS1NFyz6lzdn48x0xd10jXlj8QaiZYMqvJ0wHmBBqsv6q66mpdC+la7+lMm837sBEZETnGQ+tw2exe/nXADSX7SKkdy0hA5pppRoX+VQaX/xP56AoR4qaPn0QQgisRGFID/1Mb+KQ29BFC2FiDCFiMOXyPTzbz+G1O3YCcOoMfwJ3voVn5JlkDRlC1MgzKW5LIMgG9m0P4u59Emvfe5rBlz5AoLeENtskrDKYuOhIamt1zNNfRtbuIiAxk5K8vTjzd+EfFo3h9RCS3AezLQgtrgfmaxYi9ywG6UWkj0ckHiCDsKK081CHxNOpTKLjCg2i7rj7MaQkOCqJ2H7HE5TQk7L183GW7WZIxomI9mXFZFga+f1vpyH2BAbffjJUbydh+BRsUTEEJ6Zh1b201pTQa8QL0NqMDEvAESYRJz2Dn6sCXbNS0+jGr9ZBrNXeafqV3v9c5r7o+0G6e1MlX762iVmPTETT1I0e5ehXX+UkIMQPk3nfPeawmAAqixphdFI39kz5NWSPgSCEb0lEi43q/tdTnHQ21mYLoekD6TnhLIIjo7FJF9LTgifjA7TSTeCspNmj4awuptkvHmuPOMIclfvaahea1hezX9dZZz8m0o8Hv0Bo3ZfR2jT5ToR/0GE5b+V3Ln4AhMRD475lwUwn3YMWmvCLm3BWF+Mo2UV8Siq01OE94xVMpesQTaU0W6LZuXYV7npf0i5rYCjx40zUh63AwPc932SsAXVPRzkGqKD4IJqMzWzwzsBLIwEii3jtfKxE4qWeNllLuDiBPUX7EgPZTU4wWWlwGVRZx3DFy1Y27tUxm+C2M+7nTzXL8bqaCbG0If1i0T67AVPdXqxmf0yDH6E6byI5i+8j80/X0tbWSvmmxTSX7fE1LgSWgBCSR52MljgIEgd1019FOdb4k4iFMDzsG7kyE0Lttgq2ffA8ACarP+P/9jRNzU5y571BwtBJ1MaMISIinbaaEj4If5y/vWjC1eolJSact+4YRXr/cCw4sC/+D6ayQkTGBIwP/gZeNzI8DcvJT7Pos7dwVhV1/DiMyjqOsD/9B8ual9Hq9uLpOYUqWwbZQ8PYvNL3PN7KeXu45K4xBAR1HTFRlKNNfZWTkPDOwU5IhJ2Kol8wKqgcNfSEnogL/otY9Bybsx/l3NcSKaz0YvMTPHXphZxnWYxl3k3Iss0IzYxp1DWYEobgPvlf5Hz8OoMve4iy9fMpE5A8aAx9z76Zbe/71i+2BATTZ8bVmCw//5mmxQ/AfPV8jB1fQnM1Wv/TECnHHe7TV36ntMh0LJd/hbHza4zqHExZpyDSRv+qNvyki/4BFZiWvQqA0Wc6tSnTsaSfStGKzyjfvhrwzTTLmnkDbsceQmxZNIn+NMstRGiT8chGLEKtkqIc3VRQfBAVxgd4acRCGLHaGeTqd3RsC2UsRus9RCY5AN9Icb0eCwkDaWpo5IlVfmzc65tK6tXhgQ90Rt4xguzTwLL7K4yS9Yi6vb7GvG5sa24g+pSviT95Buac1zGShhMwZjJrP8xDSgOkZNsHjxPTbzR+QSoLpfLL2bQUemv/JVe/hlZRhB+JROtPUrR135Qmvc3NnqVfEturP5aAUFL7ZGLa9QWOzJnkpAzgqts8/JBsrrDSy6ynNF5+dBUDtvkhVn+MNuU+9Hn3QHiqbxmRujzM8+9h0Dm3seyZv3YcJzJzGPOe+j9iMocSHHEypcvX4az6gj4nPNxR57gpPbEFqCzUyrGhvspJUGjn5+zCowMoy1fTp48lFXoslctXY078C5e/m0Bhpe/729UqueoFL/1vz2Bg2WbfCHBEGtrm9yFlON6qvaRPOp+Nr9/tW/YGKFg0m1E3vsioG18EBCHJvQmK6/GL+6IlDvLd/FaUQ0DEZmKKzfzNg7X2up1ou+Z2vNd2zSU4bhBrP/qW5NGn0veseHRvGyaLH3u+fZMBf76DtqpKwgsuIzU5jab0xRSYnqaH6WbMwn6QIylK91JB8UE4pW+UNkabSbHu+3JL0C7BT0QjpYFubeDZkAD+8uhYQsPrKbdvxH3cHUhnDPM2GJ3aOntkGyMDtmFvKUOkj4O+f0K+dz44akAzofeaigh2oW39FgqWou1dRFxkL7Imn832b94DwN1Qhd7mAlRQrPxyXmnwZGEIJu0Zetlb2euy8kJZMy+MOhlWfN5Rz1FTTvDwMYy6+iFMjmLoeQJFG5eTH5kJ+KYyCwHXT/UwMraY8D3H4WnZhFUzYViDMJ32NLLNgQiIBosVfe6dhEZEkX3G3yhZ/RXWoDAiew9F6l4qtq6kYr8+Cnw/JnsNjOGUSweqqdPKMaO+yklgl6DYzoalRQesL93NyKpdiMTBasWAbtbYWM7O3QvYtOVTUjKnEOBspsFlY3uh3qVuQRUMShmJGHEJQvdgCA2vLRxPGFh0Ez0mnI1mslC69htcdRXkf/8Brc4monoPITI9uxvOTlH+d7KlHi1/0b4CkwXT5DuxhSQydkoiun8g1X4WvLqBzWYjcvpZmG1+LH/sLwDYIxMYcvU/2N7rNGK00wgWA7rnRBTlF1BB8UHEaedSq3+LhVDaqCZFu44a4xuc+DLpWUQEJya+RONUC+s+vAG3u5lxyY8TFBTN8AzBtxt97SREmvjX+IUEtnqQzjpEWws0V6JNfwRZsIqGsP5s/v5LGhb9jdh+o8ia/CgB829D1OwmMvvPHf1JO/E8/MNiuuNPoRzDatraeLe6iGpPa3uJLytuboA/mf4BeN2+930mn0P5nh3kLPwYs5+dzFOvpL5wF1HJTjQtEMOAR89xkLHrNlpWb2EDENojm3HnvY1Wk4tscyJCE9EXPY4IjsN0xnM0t7oxBwaTOuEczFZ/Cpd8QtygCZRvWNDRP//QaDLHDuOlpeNJyggnLCrgCP+FFOW3q69pISCk87TY8JhAKgu7Tp+WrQ48z46BljpEz3GYz/+vSpLYTbzeNr5b+ARLV7wCQGHROq6d9jw7N24nKXokxVWdA+OkSA1T9o3o699GuhrR+s7AkvstoQExeL0BWIPCyfvubVLHzsRVX0mbsxHNZCLni5eITkwi2luKNvxiRHBsd5yuovwqsq0FY8dccNaixfbD2PUNAGLaP5AmC3Lh48j6QszT/0GsJmgt20ZrcA8ISyZg+WP0P/lCtnz5X1pqSqlYv4To3qfRWLMDqzUB/9CfWRNZUbqJCooPIkIbR28eo8ZYQJQ4BRAdATGAh1r6e4rQa4PJ6jcLc3gkZt3K+ldv4t4L32FDnqSm0eD6E5sJNqoxdq8HzYyxvX10buXLiEHnkLt5DfboZOKGTsbjaqaqzUb8xPvw++5OTFZ/LPZgUsf+iYwpF6OpkQXlVwo2mxkQEML8hqpO5ekhUVgCQzH52cg+6Vyc1SVs+/J1ADzOJnbM+TeDLr2fxrJFrLw2iu2tWSS51xLUMwv/oeORSGIiQxCzL8f4ISmMZsJ08iPoX9yCXl9EXa/L2Dz7OQJiU+l75t8Ij44iqs80Mk+cSfGGpbS1ttFz6CjCQtpIyOpzhP8yivK/q6t0dnn+PSzaTnVZc5e6+pJ/IYJj0WY8hv7xNchd8xCZU49UV5X91NTms3zVax3vxw+9lAhrKxlZ6Tyb1sr5z1pocfseGbn1dMmgHgb6gpeQJZswHT8L/bO/A745NJFhqfhN+ie5bW52f/UqQ654BJPZQmPxbmL7j6HVMIFfAEbxOt+yioHRaBFp3XHaivKLyKI1GKtfB01DpI1BjJ4F+cvQInqg//ccMLxowy7CWPMmsnQjFsACeEZdhzd5FMkWf3LDYnHVV9BUuodkMZD69bl4/ARpE87p7tNTlANSQfFBWEQ4SabLidJOwSMbKTKe6bQ9tuES8v79CXW7tgC+JAPRf3seR9le2p6fzpL7PqSgxkL/eAH5BlrSEPRvH+jUhtz4PhnT/03OhjVs++DxjnL3tEvonX0aLSKItBPPo0dGGjat6xI5ivJz7CYz96Rks7q5jub2JZPGh0QxOjaVqPtno+9dgrZ3IUvWF3Tar89pV7PmuRt8a20CiZkj6DHxXLbPXoGzsghbWCw9p53YKUsqho6xcx4idRQyfzlxySlEzrqbwLAoqM1DCxfIPV+APZzgSA+N4QPxs5iQdXkYtlC08GSklGr0TDlm1FU4Oi3HBGALtKLrBs6mVgKCfQGzNAyMFS9gmno/wmxFG3Ie+sIn0VRQ3C18yaH3ZYfOjM/C4qxAa9E4KSGHNfclk98YQkSAhz6xHix6G/ruBWijrkRf+XLntuoLCDQasUUmYLUFUr93C3kL3u3YnjL2T8SNGoN4/y/gqgf/YMznvIbIPll91ilHJWPPEkT2dKQ9EuEfiIhIR2acgGws7VhHW4QlY6x9s9N+ljUvo5/9BuyYS/8/30bh8s9IHD4NuULHX7age1ppKNxBQEwKFn81K6y7CCF0YOt+RadJKQt+xf5XAS1Syv/+yuOOB26SUp78C+svaq+/7nC0/2MqKP4F/EUs/iKWKDmVcvZ90ZkLk6jbNafjvZQGDcW5BCdkIDFIqfuW9JhUWppaITQZ2VB4wPatNjula+Z1Ktv99ZvE3PQCDTtWkZjRF/9PL0eeeDtMuPnwnKTyuzY8OJwVAyeQ42omQDORHRBCjNUf/O1I+zQ88X2xFz5JY7FvJkRE72FUbV/VERAD+AWFUbzyS1LGnA6GxBoUjmhe2/Vg7kYIiAChYfMz4bf2HWTBCrQh52O4xxVfPAAAIABJREFUm0D3Qn0hph6jCVnzFFrmdPRFj0FAJJ4zX+Cdde8RGhTLiOEXkJKklhtTjm51lU4Se4Z3KhNCEB4dSFVJEz2yogCQ+cvBLxgR7ku4JHqMxljxErI2HxHxy5MwKYdGRHgqo0ZczPJVr2GzhWKzBSMLlxGbNhZRuZUMWxHpG15Gxg/E5B2OdNaBLRSsgeDqOjVedzURnX0c9rAYts1+stO2wiVzSO+RSLCrPfmauwnvOxdg/tsaRHSvI3G6ivKLSU8rIqE/MjAWsfFd9FWvgtRh8PmI3pP31ZNdn73H24rwD4GM8Wwv30huUDlOdw5RrTaKPnudfmffxLe3TCVu8EQGXnQ3QbGpR+7ElP25pJQDf+vOUsoXD2Vnjhbaz1dRPB43Lnczodooemj/h8AKCHD4d6nrZzgZMe10BpxyCaaQGFrrq9m6eB5ltS3gFwRRvTvvEN0Hj19El3akNDDV7aW3dxtOPxvOiXdi7JiL9KrRYuW36WUP4pSIeCaExfgC4naG2UZZ/h6Sjz8VzeJH2sRz6TFuJu4fTbcOTupNTN/R5Hz+EjvmPMumN+/FHTuky3G0rGnIvKVox12OsfBxtKzpICV64Vpa+89Ery9ESx6OrNwJHheY2+/NOWuwzLme5OBYlq9+jbfeu5ySsq04nXWH9e+iKP+LxjpXx2jw/sKj7VQWN3W8N3Z+jUgZ0fFemKyI1OPQt33eZV/l8DOb/Zg84SbOP+slpk66ja83vIMREIVw1dIam01bcxWyKgdT3xnoX9+NkbcMbcItGNu/RBt87o8a86OFQBKHTcEWEd9pfeIfeH+c+9fjQjaWHMYzVJRfT0qJsXk2+lvnI6p2YKx4CcxWCEuhPm4MDmsMpIz0VdY9YO98Q9DImMS2xV9RrAXxzfKnyStYybyFj7Ew/1Oih0+ketdaBl58D+Ubv2fPt28hDeMAvVCONCFEoBBigRBigxBiqxDi1P22XSiE2CKE2CyEeKu97F4hxE3t/04XQswTQqwXQiwVQvRpLz9TCLGtfb8lP3P8u4UQa9vrvyw6T6G5QAixqX3b8Pb6AUKI14QQa4QQG/fv735tjmvfb1N7nZ9d7F2NFB9EfX0xeQWrqG8owWz2w2YLpU+vS4gLPIvivVXUVNcjhOZbMqldcFpvShv3kteQT7RfbxKMEKp3rycmKYWWiHQCTnsSufFDjLzFkDaW5uQT8Zjt+IdGdwpCghJ6YoqI45umeFZ+fg2hIQnMGHsdvYTW8dWq6x4qq3JpdlQTGhJPdFRPNRVL+VUM3UvltmU4q4qo3LKMIZc9SPnG79n03wfoNe0y6vZs6qhrsvhRuGQOepu7o2zd1x9x/NlvoK14DtocaKNnISPSMV00G9yNiJ4nIJ111E6+h5V1heyY/096JQzi+Li+RLc6oM3Z+QdkUxmZ0YOpGtRMRHgq25avIMASR0xGDNEJiRQVbae+voIgezKRob1Jzog7kn8uRemiuc5F4AGC4pDIAKr2C4pl7veIwed1qiNSRiK3fgLjrj/s/VS60g1vR6b7EcP/gtM/jpyi71j07T+w+wUx5bSnCLKFk3viHThb6umXMJi4M4aD3oYWkoCx4T2M4EQcfWay8v3nGXDhXdTkrCUwNhVHRUHHcWxhMRDTFxmcgGgq9RWaLIgglXRLOTroukHR7lqqC6uJaHCSmHI8snAt2sRbEVEZtNp74CgrZPNjszjh7//CVLMTm80f7bz/Ilf9B1m2GW/6iZSLWPI+foXM+DSGDz2fNeveAaCkfAum42fgWLEIqz2YtInnUrJqLpbJF5IVk4ymfrseaTYhxA8/8PKBM4HTpZRNQohIYJUQ4nMgC7gTGCWlrBFChB+grZeBq6SUuUKIEcC/gQnA3cBJUspSIUToz/TnOSnl/QDtgffJwA/rhtqllAOFEGOB14C+wB3A91LKS9vbXiOEmP+jNm8CrpFSLhdCBAJufoYKin9CXV0Rr771Z0pKNwNgMlmYMe1+Nm7+hKGjJxKQVIJ/uCAx+Rm2vf0oLXXlZJx4Nlvqcvlivm/NVT+/IG6d+RLTrrwFOecahPtEZEQPZFMZWr/TaY0eQFOTB1fFRvrMuJLS9fNpyNtGRO8hRGePooUerNr2d1pa6mlpqeej+f/k4thMYqJ6oWkm1qx/j9mf3IhheLFYbFx8/uv0zVLPpymgSxdgYBIHf2anuTwfV10FbU111OxaQ0zfUZSs/hqAxpJcep9yJYVLP0GzWAlOzGDXZ//utH9d/g4aZCCRx10BehtU7MCY/zAiPA1tzCyMonVoacfz8cbZ5BasBKC6Jo/dJRu5ZvJtBEkDY8sn+xoMjCIyIIMZPa243L1YdFMyxUUG2q0OViTew8atszuqThz5Tzzu00nvpzKyK92nqd6NPajrutohkTYqi33TbGWrA1mVgxaT2amOiB+AMf9hpLsZ4f+zN7GVQ6i6Zi9vvHNJp+/4C855hQ/n3o2u+2Zk+U2+gyWrX2d4bBYRwTHYq3PQlzwLQsM06gqYeCvFJdVsfOVhkBJHRSGFiz+m7zk3U7VtObW7NxDeawje+LNZssTExONuJui7vyP7nIAYew0iKgND9+JtdWG1q///ypHlcTvRNBPC7MfCj3fxwMWf0taqY7GauOfp6xmf6YHGMupq++JqDmDPtw/gdTvJW7+UXoOGYnx3D+aRlyADo9F6nYjJGozm9X0WNhbvwpYYRI+UEeQXrgbAFhFPQL/j2bvgXXpNvRS/lCxuKdvDI4Eh9A/8uZhJOcQ6TZ8WQliAf7QHngaQAMTgC25nSylrAKSUnabutQebo4DZ+w3K/XCXeDnwhhDiQ2AOB3eCEOIWwA6EA9vZFxS/137sJUKI4PYgeDIw44fRasAfSP5Rm8uBJ4UQ7wBzpJQ/OzVHBcU/obBkfceXJfhGZdesf4/E+P7kNRVQZX8ZgiR+g+MZHfkPTFXNtPhbefvjfXf8Lxx/PcEF37dnmxa+L8AF/wRA7v4OCxA+4wWKGzxseusJovuOImXcTOrzt7Hl3YfJOP5LLhvzOZVtC2ixGlTX5/OfN84lNjaTiWP/ypfz7sNoT3jg8bh4+4OruPn6JUSEpxzJP5VyFDFkG/VyGfn6U+g0kaxdS6Q2CctP3KRrczRgj0ygdI1vuQXJvlHb0jVf4x8SRfzQE4nMGonT7CFy4FgqVn7VUScgKpEoiwtj4fOImD4YGz/wtdNUjl68FtOf34amMkZmTcNA0trWQknZFqpr86iWBkGhyVCT62vMakec8iiO+qWEfXUndnsE4+/5mLlX9MRIKOgUEAMs3/QQ/kYmPbKj1brGSrcwDImj0X3A6dNhkXbK25dlkqWbICINYe4cPAuLPyImE5m3BJE1/Yj0+Y/KWV1Kff42vG4nwYkZFNRv7/iOj4/Nxm4L4fvFz9I3ayqbt35GcFAMzc5apgZF4v/dA5im3o/+5a0d7emf34xp6gOE++17Ck0zmTB0D1ve+QeRfYaRMm4m9h4TuGTiEoSAzO9nEn/v+xSYX0EXT5JSbKNw3lfU7t5A0sjppI6dSWCs+v5WDq9WRwMVGxeSM/c/WO3BxE2+mwcv/Yy2Vt8zwp42nYdu3sK4FVm0iEF8f3syo5+ppqnIl3PEHhyG/6b/IvpOR//mPnA3IfFlYo9LO4HEQWOxJKezbMUDTDrh7+QXriYtaTBJCZmUlZQTkpSJMFtwT/4zCxz1bKspJWLnWsJ6ZGOPjO++P8wf2/lAFDBESukRQhTgCzR/jgY0HOj5ZCnlVe0jx9OB9UKIrs/bAUIIf3yjy0OllMVCiHt/dOwfP4/yw+U2U0qZs/8GIUTHKImU8hEhxFxgGrBcCHGSlHLXwU5GBcU/oclR2qWsvr6YvllTCTX3xK7diEnYqTQ+oSJ6LmkfrcQ57QG8Xt/ofHBQDD1c9eAXAPVFiOwZyB1zu7TpV72VsLSTGXjRPfiHRFKy6itqc9YRP3gmxXOjSJJllCx/mr6X38d3W57C7W6iobGUvPyVTBh3HfO+e6SjLZerAYejWgXFf2CNcj0bvTP54TNku345fXmVWNPMA9Z31ZbTWJJLTL/RVGxaRGNRDpF9hlGzy5dAy91YTc2udUT3H0ugZidw7EwiU7KRuo6UBil9ByELFyH6TMZY9FTnxvU29LpKTBHx9LM00U8Db0gsVYPP4s0l/8bUUILc8C6mSbcjdQ8Apc015DQF0Gf4ejyNEGxrIvMCnVata2Ibt7sJl7sZr0fH6qc+ypQjz9nUip+/GZO5a3qOsOgAdm0oB0CWrEdEpR+wDRHfDyN3ke/Ze+WwcFQVs/zxK2gs3AGAZvEj/PLr6NvzNM4ccgH+O99Day6muf9p7DFZ2Lz1M6496yVsehD+Ky5EJA/H2DmvS7tG0RoCMybT96ybsYVH43W3ANDntGsITuiJx9mE1d/ghNNSWfhpATV1LirNFwGSxNq/svrhWzoem9rx8TM0FO5kxHVPq6y8ymFVvuF71jz/t473rvD1tLq8neq4nB4QJuqtEYTcMgc9NJvofqOp3LKUoJAg5NYViLhscDd12k/LW0jfCz/jk3VvoetewkKTOH3MLLL9gmjLi6fyq/Nx112Cua+JDzw5QD1aVTHLn7iS8PSBjLrxBRUYd48QoKo9ID4B+CGQ+B74RAjxpJSyVggRvv9ocft063whxJlSytntzwL3l1JuFkKkSylXA6uFEFOBpJ849g8BcE37yPMZwEf7bT8bWCiEOB5olFI2CiG+Aa4TQlwnpZRCiEFSyo37N9p+/K3AViHEMKAPoILi3yIiNqxLWXbmScQnp7DHegOG4fvySzfdTaP/aojogb9fEIP7ncb6LZ8wdPDZyIZisPhBRJovI6/9AAm1bKGsef4GPE7fB8uAC+4irMdJ1K/PpnKFRvKpbSAlez9+geHjZ7JknW8d2bY2Z6flJAAC7OEEBamppH9kNcY8fnxTrdB4jjAxhhb24pVN2EUaAVoGAA3FOdTv3UxU1kiSRs+geMUX9D7lCsJ7DqJm52rC0voREJOM1L2seORSUsedgaO6hLCUTMy2AHRHPcLsj2yuAHsYOKo7HbupKgpEFsGfZ4LVjt+oq0hy1fN/0+6hLSAC+fVd6N9uB6A1YwIVKRfT+sZ4vlnoCzI0SwwTXg+kqjoNs9kPr3dfNuyE2CFERiargFjpNk11LgJDO99M90rJaxX5WEyejmeKjcK1iIiMA7Yh4vphrHvrsPf1j6x+7+aOgBjAYg8iMWYIA7SRBFZ8BlHJiOgehDQUMbDfCfSctRBHSTzu3YXE6R5wNcCPpr4DCHsYbeZApFGFs7IIS0AIY+98l8LFs9n16fPtlQQXXf4gJfkxhCa2UNv++SzLArskMyxb9y3OqiJCk7seS1EOBY/LSc6XnZcUC7A2Ywuw+ALhdn42M96QJNbuegXRGkbJB4kkjj8Fd0MN7qYmROpxCPGj5HEAZn88ra2MyjoDabYQ1zYZi6s3Urby1WUmjDYAg/IlBhc+k46jfzPhW5bh8LPjbqiiLm+rCoq7xzvAF0KIrcA62oNHKeV2IcRDwOL2ZZw2Ahf/aN/zgReEEHfiW676fWAz8JgQIgPfqO6C9rJxwEQhxP5Tmc8EXgG2ARXAj5c1cQshNra3fWl72QPA08AWIYSG77noHy/DdEN7gG/gm4799c/9EdSvyZ/gF1vNmefexbwvXsTZUseg/qczYsTZVMfch0FLR71i/SUy3U+S02svc+bcyPlnPkevXhPxeN3U2UKI/e5BTNMeRP/+UUwn3Iyev7xjjTfs4dR4AzsCYoBtHz7OkAvfY9m/QokYqNPauhgAd10lYfbITn2MikjDYrHh8biw2UK58LxXCQ/7qRsxyh+B6QDJ9SI4kVz9Liqkb2qzhp1B5o8I00YRmtyHXZ8+T8LQyRheD1l/us63lFJ4HKGpWdhCIvB6PWx89S6koWOPTCAwNpU9897AVV9Jw4AxDOsViikkDtPoWb6pVO2MiL6U7szCsTKYYWmjMPU7FX3h4+CoxgRYk4ejXzmP2j2LaTNZ2VC5i8SKXlQs3DfqZnhg7b0uRj6ewcUD3ufT+TdRU7uXtOTxjOh/E+k91VI2SvdprO2aefrD6mI2OOppNXkIKm1CSoms2IbWc/yBG4nqjazajWx1IPwCD3+nf+fqq51oJkFI+L61o1ub9z0GZ7L4wawnEM29CQpcjbHoHbQhp+DtNYY9bX0oLaomMwl2viQIDIknNn0YlK7FNOwi9O1fQvtsMKwB0HMCZXlFbP/Il2vBYgti+LVPUbziy30dkpIdH/yTB199HW/6RmrbizWzQLP4rh2jfek7YTKjaepnmXL4CJMJq833O8Fk9UcaBvXrX+P2F5/j4VmLaGluwx5o5bZXR5NvWcWm7Z9wybj3aWrJxeqfSmSfYQSkDQSSkEWrESkjkO3PDAO0Db+K1W8/gbOymDGX3YNjhx/bX+7JkFutGG2uTn1pfE7jvn+0UhPbg6IbX6AAiR4WS6CnjVBL1zwNyqEjpQz80fsa4LifqPsm8OaPyu7d79/5wJQD7PenAzS3CLAdoHwlvoReP25j/E/0yQVceYDyRe3HQEp53YH2PRj16fsTtIYB6NlXcUbqqZi8kbQGbcBPFNIiNneq56GGpnKd9xY+zQVnP8f8xU9TUrqV02c8zNyNs7loxpOw6iW04ZeiB8Yg//w+nsK1CIsdLe141j54eaf29FYXJnsjQx+woJuXkrfYd7c5fsQU1uQv7KiXmDCQnuljuOWGZTgc1YSExKtp0wpRTKVFy8Upd9IstwCCIK0vBfpjHXUMWsjRb2aI+JLI3kPJPutG/EMiiR8wBmdNBQhJ0fJPSRg6mXUv38b4O/5LS43vcQKzPZD6PZtx1VcCULZ5KeWZ1xLvaUYLTcR03pvIugKaGxMpzR3M2qfCiRxkgituxFjxRqeRZFPRGrSyTfjZw9hUsZOlWz7h4vRH+LGmfB1vq05VZSuhDXcz7oQo6spMtNaHdpnypShHUlOdi4D9kmxJKfm8towLo1MQ4fC5tpeqqgbCavMg7Mc5QHyE2QqRPZFFaxEZJxyprv/uNNQ4WfDhDt56dAUWPzNXPjCe0dMzsAVYCUnu01EvdPyZ3OhxM8dtQuS9jTZlFl7zd8zJu5lLn9QZ0COQFy930bTDQsrNlbSkXo8t51NY+QraqU8g2xzougcZ14+KmhY2f7Qv+aDH1cyuT/9N/NBJlKzel3vB09KEVWuBmgBMiYGYsBNoy6TPjCsxPG2YbUHkfvUqPU44iwC1bqtyGJmt/mSf9Xdqc9fT5mhEM5nRrP4kjAjjjbmjqdm1i3D/JkKzN1MsXJwx+v/Y8vpFeFzN5C33Z+CFjyEIZc/WhaT1zMKcNASG/hnZXE2zKZQdq5fjqCgEYNNbjzDwjBEEJsWx91OdyIFmajbt+87WLBKR3p8b6naQ2+y7XfRCcx2Pm81cl3DgmTWKcjipoPgAWhytPH1xCTNv/weeXutpE7W0rj8bR2QEIZFnIVsS8ER9jUvbRYw8g2ZHC2ef8QzvzL6eZkcVp0y9j6LijVww5U6stfmIsTdgWGy4TSEse/k+XPUVWANCGH7t2E7LOQEExCQTHNCKlrWaTZ+9g9BMJB03naRJ5xHUVkVR2WZCQxNITR5GWGgCANFRPbvjz6QcZVqMvVTID2ky1hEshpBqugk/kUCTsa6jjoaNADkWKV14ZRM2/0BSE6Jo8raw4uXbO7XX5mggaeQ0/Awn0f2Op2rrMvyDwmkq8SXGsgSEMOzKfxLr70Ju/wJMFlotweRXW9DLxhAYWsmY+7xoYTZM5hL0yh10Ub6dkJxvmRTXn5RTHibIZCf+QxetiV5wCizzrVg2Wqgrd2GJCePdR7/jvcfg+JMzmHxuP1bM3c2pVw7BT02hVrpBU50LW9C+keK9bicmIYi32kCAFmnlnVVruDYwGmHumozrByK6N0bh/7N31oFxlHkf/zwzq9lNNu7aJmma1IXSlgptoYUWLdbi7nJwxZ1DDg7u4LhDDjjcizsUqVH3pBJ3t91sVmee949Nk0vDcXcvtFg+/7SZmX3mmdnZ55nv87M1KIOi+P/Ntx+X8qfL++J+b1n0Fn/5eDGTDh+KYjQzctG1lHz6PNaD57OrvR5bnAf2uJHmzZTql3L+X3RsFoWnz6smzFvEUa9MxNC6EVb9HVInII/5C02dHpzdCp3CTcOe5eRoySiqkZhh49H8XtpKttBZtYuY3HH9+haRlhta/GhwMC71PTxVbay66zI0X8hyppqtTPnd34kaMgrVYDyg922Q3x5S6ux4/SGkFhKopvAoUg+aS2LlUyTsfCV0TMsYkhc9zrfvXE7A4wJA83vZ+NTlTLr4A6zxafi72lA7OkAYEBkHYzRGkBeZyci5J9FQXMSOT15CpDjpLIkjusBI/vkW1t7ixtcWCiEYcZmFZeZWir1d/fp3R2URR8ckkzEYWz/IAWbwTfI7MBhVrGFGbphdRFxyPIoqkLKWy/6Yx7tPTWXIlGwyxy5m2GgnPpuOLsoJdHfg6moiI2085ZVrOGv65chVjyMShyO1AEpEEmEGFwedfxe7Pn6emCEFhMluZv/+UZob6uko205b+Q7yTr+ZRVLnlNzJzDtFwdJagTsmhW21K1n57VMENR8+Xxdms53LLniflOSRB/TeSClxVWroAbCnqxjMg1l/fw4EpJOd2u9ol6H66N2ylHZtFWMNb6ILLybiSORuNnQM4/G6VhwGhbuTFNK3vUNdpxGj0T2gzc7KnWROPwF/9Q4yj74aPRikcsXbJI6dSUT6MEYcfgpW6Ubf+BpKbDZSapjbSxg2cTraR2chSlaDakLkXg3mg1ByZqO3lvU7h4jOBFcjwvkpuZPO5uv4VlZ2d7HS2cKQCBtTz4xlwowYGja00NzUjaoKLr5nFms+LeWWxW+ROjSK1JxoJs8brNE9yIGnq8NLmL1PxGx3d5JtsYciqAgl2/pgZx2XR2d+bzuhDNSr9mNPf934vUHe/Pu+YWiw/N3dTDp8KG3FW9j17uNkLLyCHTGJTNX8vGdxcebY41B8f6TJczZ2q+DLS4rIfv98EAJ1+pUhF+kxJyHbKpHPLMBx4j9Z+WwoRGT0WbdhDo9m/IX3IX3dhBl1TAsvpHrPDuJyxlO95kM8rfVEZY2k4ISr6KjaTXRmPhgEVSve6xXEEPIQq9u4jKSxsw7YPRvkt4nm97Hr3b/3CmIAv6udxu2rGDp8AdqmkCh2LzgFf4cXd1P1gDYciV7CZVooV44Wj/b5PbD+OaxH3InpvSXQ3UpmRDIpl/2Jd+wG9HfdJO+M4dsLujjkz+GUv+sjfqKRhtU+Rk+zEmMwcaGSTXzAwkpLE+95awnsYzAaZJADwU8qioUQzxAKjG6SUo7o2RYNvAZkAhXASVLK9gPZL5PZwKlLprD2szKa60IrZNf8dR7/vG81B11+BH/8WNK8WufB823QejVlFas44vCQlS0/by7Dsw9FFL2Dkj4B7cMbe2OIRc6hmCZezNhjzsK45m/w3PVgspF40MV4LGayL7yXMQ3ldOs6yzqbuC02m2vWPkZJ+Cl0Outxuhp6+9jd3c6adS+y8Ng/HrD74m3X2f2Ch033dqN5IWeRmbHX24hI/45kC4McUDyyvFcQ78VHLQHZRrP+McPUB/m4NZILd5f07v+9nsV1H8zm863w9iUDJ77o7DH4uzpQC/LZWvYBM0+9An+XG1NUMuaGTSgvn4DW1YzInALJo9A/vBGkRCSPRh12OHrVatD8yC/uQ0t4EZE0CnJmQ/EyUI0oE85Ar90MPZNfQNd4vbOFF5uqAFjnamNZRxPP5UzA0SkR3fHc8+qJPP/AKgrXhdy5a0rbuWHhGzy16lxyxg4mmRvkwOLs8GIJ6xPFRd1OUsx94VIJCeF8U9+NMy2Ngakb+xAJw9FX/BUp5eDizv8DxaCQkOagaF1dv+1xKaHYSWNYOIFuJ5WxKVxQspn7skaSqoazMXokB3VPI1mt5p7jE8j+6nTwu1GPuh/tw5t644dFyhiUKRdhqt9IREoOztpiCl97kKGzF2M3Q4prE8quD8FkZ/icm9m9YzmjT7sJS2QsrcVbqd30JXHDJ6BrGk59G96WjgHXsDdEZZBB9ie6FugNf/pXPG0NMPVIlEMuQd/8Bp3RjVjaFOwpQ+mqLe09bspF92BvWoO27D5wtyAyJ6Me/QCybhvam5f0xdw76zB+cBVHnLmUMzpKIAukHkbZOz6EUbLudjfhGQojl1j5xDCMrmVmfEEjqWHhnJs9EtEWwJ0YxKYO2u4GOXAMrCNxYHmWgcHZ1wPLpJQ5hLKVXb/vhw4Eo6ak8eSqc/j9o/O48M6ZKIpgyjlTWfKqRnNH6CU+1lpEWUVodb+qehP5eYeRnjgSzVkDukRb/URfUi1AFn+F1SgwFS6FbUtBSvB1YV7xAFnZWZhqdhGpGpljieVyUzpfu4PsOfZhVuz6nI7OgRNmTd02vN3eA3I/ABrXBFh3SzfB7pCO2fOSj5LXDtz5/1e6m3TK3vGx6vcudj/vwVWp/dRd2m8omPiun7OChVjm0hjcwuM1fZmbp4bF8chSI5/3hMg/tiqF2LlLED0TUFhsCgUnXUN0xjAagl4mRoRjfeMcoju2Y2/dhrL0gt74YFmxGr3wA8SwuaG/67ZCeALqEXeCJQIAvaWMFqIRccNoufAzmH8vsmotcsd7oQ6ExRCIzSYn0EWOpS9BTnPAR1Wwm7ENdzMjrQiD09oriPfi92mUbepXT36QQQ4IrnYvVltfTHFJdxeppj5RHBFrJaG2i2+ih31vO8IWAwYTtJZ+73GDfDcGg8IpV03CaOpboA2PtDB1fi4AMTljCYtNpdFiRQL3V+8mAcFmrxfddgxZ8TrHDm8ArxORNy9Ubz3YN7fJ2i2IqHSU1HEcvGAh4xcD8j0YAAAgAElEQVSej1AUrNGJJAbKUHZ+0DOfu+DD6xg+LINEWQeyHSU2idjccbgbq9j+6h8JSjcJMwaW68yadfJ+v0+DDGK02smZd9aA7eaIaGq2r0GZfy/KZd9gdR2K1lhLweJrsUTFA6AYTCTEOdDfXwLuFgBkxbfoKx+FrMn9fjMAdDWhNxdzl8HPo55iYuepuOt0NLcACUNPMmOvNNC1s5XIUQa+2LSGe5Ys5abjXuVPp73Pi1v3UOgeWI5xkEH2Fz/pEoyUcrkQInOfzccAM3v+/xyhLGLXHbBO9SCEYOiYeNzxCl/cuwGT1YjLGMbeKkhCgPgXA3bhzk+YNeMKyivXIoRORvYMWP6Xge1KDX3HO72NBIZfiNN4GKo3F6Mjgi86zezYXctHr29gbGY4HecmUV2zmYULHqRwnzqJeTEn07rDTcpB/0197R9Ow6rAgG0lr/rIPdVC88YgJa96CR+ikn2imdhRP21cVNAn2fpnNzv+3jdIJ042MOcFB9a4n3ot6MfHIrPIEXdTLG8ilH0eosVMrEomccJOq/4ANnVq7/FTlUT++K2/9+/PtirUdx7F20sm4K3agrupitUPnIcjI4/8U64gevvboezSn9yGMu922KccmCxfhTL7euSunme0rQJt+zuoM36H9ukdeHUTjaW7UEYeRfXnBdgOc2CebAbicHUNQbdnEtjQxHmBMs6JKOPl5DFc1xGaDFWfpNFyEClLzyZ65mZsEWbcTl+/8+M04uvQMUf++r7bQX6+dLZ2E95TkikoJY0BL/GmvvHYHh9GRFEXy22ZHPsf2hLxw9Gr1qPGDuaI+P8wcnIqT646m6L1dRhNKgUHJTOkIPQyH56UxYybX2R1wIfqaufDqBiGf76EUVo3yvjTCMSnoavmkAfLsLlon94+oH2pSzzlzXTLqVjCE5l8zrlo7MG44Y4Bx9JRhahcT4QjGX3E2ZhMJsJUP2Ezjyeyu4DyYQ8w8pIrKF/6LhJJ3sILiC+YOrCdQQbZD6RMnEvA46bk439isNjInLGQqtXv01VXhtEWge7pYu3ff48W8GGw2Blz/l20dNXRFXQinPUDyoHKkq8IHPo3OkctRVU1rGG1uLtSEaqKsMSzY+vjzD74KnQ/ZB5lwtOkMWaMlahcA8vP9uJtDY15U44+BNPxRj55awtbllcxe+toLhQbeX/kIUQZBrNRD7L/+Tn6JSRIKet7/t8A/GQ+kZu7OphVvpIPFo+h9MsaolL63NpuPjNA/rBE1v5LGFhh0afMn3ohju7WkBtc3lzkzv5lsYTJhkjIQ3bW0jXxHyz/2+E0bwm9yKfPNWFNUHB+lMitj80h2Pke2zYZGJG7iDjDOGaNvYWVhQ8hdY3JBZchVk2nyxakI+Cn2ufBrhrIsu6/xASOnIFu0olTDVR94mfV7/oSJex61ssxn0USNfyne7ycZRqFj/dftWz4Nkj7riDWuF/+4OqsLaFx+0q6W+uJyR5D8861dDVUknfE8wRzyzCbEogUU1Cxo+AkXpnC1WkJrCwMue3Fh2nkJKvsrumznrd1KbQWraL0vUf6tpVspbN4J7GH3Y6+9nHUebeD/h0Wd0dq78oxgAiPh84apN8NIxYSjJyFw9hKU/EW0kYLrK+djzf1dDZ+vYC4SZFsfqAbb2skwjCNSdeO4FT9Y16Iy6NL13F/0YQWZgQ9SKK9nIvumsWDV36Mogh0XTJzQQGmxkjqNQ+bixrpLuxE7dTIGR7HiHHJmK2DiWsG2T+4OrwkpIW8Ier8HqKMJgz/4v4cHm9FqfOxUv3PpZZEXDayYi2MW7Tf+vtrRghB3rgk8sYlfef+8KQscjwuXpEB8peeh5o8Eunxoj1/ClzyPO0yFQ5dQqTUUfLmovfEVu6l03oiy+610Vmig4DsE81YE8dgPejv2L9ZuE9nFER4HKq/izBfC7tXr8aRmou/q4Pqvz/MyMVLsGRWM2TxKSiWKNT0g1FsEfvr1gwySD8sjliiMvOJHzkVzeehcOnDaD4P1qgEVIOJdU/fgtZTJizo7WLDo1cz66Z/YvLVItSB709dU19l+YWRNG+axMjLrTRvCtCwKuQlmXQo5Fx0AgXmVPQxCoYo6K7USRtpoPBJD97WPoFd955g8g0j+eStLQA07+mgNt9DlbebKPsv/71tkIH01D7eTigThwZcJqVcLYQII1S7eFTPvg5gnpSy69829iPwcxTFvUgppRBCftc+IcQFwAUA6enfXerih1LodjJRdVC4tpb4aCua7uKrR4zkDGmhWf0nrkApC0++kU/ef5xuTzvj848gr+pbxIYX4Kj7UdIPQg/6kcXLwB6HeuS9SD2IMuN3BKWgZP0hvYIYoOpTP2OXhBFwSVbdYOHQR0dzaNsjNORchXB3Ip8+h6MPOwpjOKjdCv6Cdron2TlqxyrWdbURrhp4cMhoTopLxbpPHEZbUUgQGsIEMSMN2FP+9zjg5GlGovJV2otCosjkEAw/x8qnJzn7HRdwSlq2Bn5SUSyDku/K06D7v/Nx+tHZn8+nq76Mr+9ahLe9qXfbiJN/T8U3S6nf/CUzbnmZhBFTcemFFAdvoV2uIEpMIz/cxNIRccT6wxjddD3Dz72Zo+6OI9Dj4X/24Sr2SAcFJ1yFRCI1jeKPnqF59wYShw7DHp2FvutTsEYi8ub1WYUVFfWwG0Px87ZYlAX3Ib2dKFMuBIsDfdI1vH1wMtGjUpl0Xxqets/B301D13EoYfZ+E6MMwpp7ojjqieH8fVgcG1f4qf1kN4mHfgRCsLuim+oawfXbTqVC9RGlmEkrCifaYObJsl003rCdoq/64qNve/4Y5p066ke9/78GDsT4+VvA1e4hrOdlrcbnIc7YP8N0RKwRT6uBYh28UmL5nnhhEZ+Hvunl/drfXwL769nc7GpnnauNuf52RGMhFMyHwDbU855EtcegBky8sOtLLp15BUpkKiJ/AXLnh2CJRM69ly2P9whiAAklr/uYcHMYZVsmMSo2B2GLQWTPBIsDGfAiN72COvc2nNU7KV8WEthRQ0YRPXQUSula1I+vBqkjgWDSSAxnL0UZLKv4s+fXMHbKYCeWsABVq97rrZENkDP/XJx1Zfi7OhBCIXvuGZjCo5C6RsAfIMrvgegERO5hyD2fI7IPhfwjKf50Os2bNCwxAqnRK4gB6r+ClDkTiU9vYPsCJxtVO9NHJ9K1WyPrZBPhaSqlS/v6YPD1jaFZeYnosgT7YFzxrxmPlHIMgBBiLnAvMAO4EmiUUo7s2TcMGOiu+iPzc3zSGoUQSVLKeiFEEtD0XQdJKZ8EngSYMGHCflE6EaqB32lp1LXWEjXOwIgjWvAYt+BBp1FbCgYwjazlpMyTUIIRpLcMR/zzPjDbEVFpaK9fhEgdhzL7ekTiCPSSr5DrnwWDBXn001Q96yC0MNJHZ5mGLUWhs0SnflczacPmECXrWPXKvYy67j12PhOBaeGnfL71JlKyDuHjmgtY1xWy/rm0IBcUbyTXEs7kyJjeNhu+9fPRsZ1oPYbT2DEqc553EJ7xvwnjiCEG5r3poK0wiOaXROcZMIaLAa60ABwY7flvichUSZtrovrTPhdhW4pC5LAD88jvz+ezvWx7P0EMULbsFVIPmkf5169T9uVrOA2xNGQtwidCSaua5Du42MYw+zGkVTegdnzMNON21t51H3ua04iMimV0TAnfPvREb9um8CjyF16Bv6uDkuXvMW7WXLQ1T4HfjRh5LOrcW5FaAJLHUO9WSTrlGQh60T//A7KhCMITUeffg1LxEWOvPQ9bzg7Kvnmd8ORU3HPvp/GFaGwpKs4y34BrdHfEEVcczsGKlcRz6jFu3kXhZRupUuzkHGnk9N3r6O6xWI9IjeCOtHzG7LCwxmzi9GunoBoUWupd/O36ZYydkUFCquPH/Ap+8RyI8fO3QFeHr1cU1/s9RO1TTsesutB1hbRuyfZAkImm7/FaiMtBNu5EBn3fW77p187+eDZXdDRzVOEqPLrG85HhHBeZjjtmBHUuI81vfUbKmDFEDZ/HsLx5KKoJffNrCEcqyqzrwO/G022ndvnArnjbJM1bDIx8/HXEynvRv7wfLA6UaZfBqIXong58pr56q+1l2xix4Gysy2+l36pt/Xao2QSDovhnz69h7JTtn2Jtvo4pFy1h/XNP4XO2YotLw2AOw2hzYImKJ3Pa8dSu/wxXfahihMEcxrTzbyaqvQIs4ahnvIq+/nkCuzZR/cVpAETmGmjZGhxwvoavFJToD8jLnERGRS7Nq1TUbJXKz/2oJhiy0ExZjzAOWDyYzCqnXHAI6lAHN2fkM2SwNNPPAsOcisXAPUA6UAXcGPwi88dcyY0A9salJgGVe3dIKXf/iOf5t/wcRfF7wJnAfT3/vvtTdSSnRuGeC7+guqSdR7fm02ZYjknGszdmE8BPMy3hTwAwtPlxAETObPRvHkY97Cb08lXgSEY270b4nCiH3YRevQnlq5tJnf4V7UX9LQeOLJXKD32EZylEJB+Ex16JyaIRnprLttfmM+yGB3j8xSsBiM8+lK+6Bmax3NPeyaS23YiEYQRlFOvvcvcKYoCWLRqN6wO9otjTqqMHJLbE/yyS7SnqACvz2GvDWP37vpI+RrsgZvRP7LIqYNQVVhxDVWq/9JNwsIGCC8Kwp/7yM2ULg5Ehcxbjbq6hadtKpNQJet2oPVlvgwGF5rY9+IZU9X5GIYzUwDwSvLkYjeHI6AUobR8wPHAaw8MhmPECxav39BPbflc7zroywmKSUFUVvWYzInMycs8XyO3voG0PxcZrp7yI0WJHWsPQX78AWkJ1jHE1oC9/BHXm7xg9/AF8QY3IMSNY987zGNRbiRwVSftOnfAMBVdlf7O+JT2Oz8+1EHBJchdPY/c1K1hYsxa3rpFhDuOuzBHcWL4dn9TZ4XHSGXCitj7HIcfOxxapY4vWaKsLY+TkGfjc+31xcZDfKK4OL9a9otjnHRD3JjztREQFsTUFKUzSvlcUC6MVItOQddsQ6RP3a79/SzhdzTxVX4qnZxHtY8XG4XNuZ+2rj+Gs3gNAw9aVZEyvY9YRJ6O/cibqwecj67cjd7yLyJyCOTuepCkKFR/0X8S2RAtiRjmh9DPk5tdRpl4CZhs07kRkTUE60qHJhSM9j86qXUCo5COu/lmyAaSnf0IhKSWyaTeysx4R5kDE5yFMYQM+N8gg/wtS60Kr/hMiUEuc4U5mX3oqvmAk1ugs2hpNOOsrGX7sZXg7W3oFMUDQ182u5R8y5ZjF6I1FyB3vIXd9jH/asyROVWjfpdFZEmTI8ZYB+WeiR7VSvuxF/F2PMv78Z1h7bioZHeEMiw1n03VeRl8ZhjBAwYUWosYr3PfwGaQUhNOcH2SKPW4wI//PgB5B/A9g7yCUAfzDMKeCHyiMrUKILYCFkBDeW5fuGeAzIcQJhJIuPyelLP4B5/mv+Emz0gghXgG+BYYJIWqEEOcSEsOHCSGKgTk9fx9w3C4fj139BRW7Whk/KwVD5td4ZQ1CCHR8GPcpsBFGHt1eFcJiIGYI6EG0969FDJ2OvuJR9M/uQt/yBtqnd4ZqswrInVdF1PC+hcbkGUa87TqqRTDiQitfnWWkZX0s2974C8OOOJvk8Ytp6+wbpNwtxWSbB06S0iR4ya9RUvwN/tbOPpevf72+Op2AW6f0LS/vzmrnrSntbHnITVft/56heehCM7OfDSdltpH8Cyws+NBBdP5Pu95S9amfD+d3UvG+D0e2StvOIOLnuAT0P+KqL6dx20pq136C5vMw+oxbMNkcpB9yLHUbv0AIBT1+Jp1tnn6fG+29keTtz6MWnYlecT3IACI+tLrbHXEbTuJwVpUNOF9XQzmtxZtIz86F2i0oY08BRwqI0NDhHn4WxfVxWBQTwt3cJ4ghlLRm/CK0l89Erv4bpnWPE7Pydiad9gSFf5pMZ4mku1Gj4CIrJkdo0hMKTLzFQPNOG+nzQjH2e17W6d6t8kJCIp/GRXFNVBTPNZRzQlxq76manI3ER0wjIb+ataVX8dHKCwhGfEFCQTW2qF/BFz/IzxJ3p69PFPu9RO8jimV3G+HREFUXYEdgoAVlX0RcLrJy7X7p62+RyuqNLP3gJip83QCMt0dxTYSNbsJ7BfFepNeJoX4bKArax7cg67dDXA76ni9QOooYfqYBe1rfK1PWMSZ8HRoJU2tQNr+AMuZEZO1m9C8fQN/6Jvq716BvewtVEUSk5pB/wpWYI2Joa2xAH3VS/44KgUgc3m+TXroiJDy2v4Ve+D564QdI334NpxvkN4GCUG2IyDMQ5ouxiigc0UZMtkyikqJw1ZXiaW8k6O1CiP4SwdlYTbC9FmXG79CLl+EdeSPL7p1JWKKRyFwVT7PEEAZx4/qMD4mTBaak1fh7DDhVq59iksHO6cZvKczvIHO+GUu0YMzVYdR9HcBbpqFlvkggZTf5tgi62sooLl1BfcNOPJ7+oXqDHFDuoU8Q7yWsZ/sPwSOlHCOlzCNUjeh5IYSQUm4BhgAPANHAeiHE8O9r6Mfgp84+/e8yisw+oB35Djra2zhoQTgxqUMIeAVepYJoZTK69NGkf0CWeh0N+pt0ye0k6otIrZyDq2EPyuLnoKUEMSoOOWohIjwBZeSxCKMF2VmHvuYp9LVPo8y+FhHZyuRHAigk43eaUY12Gpbr5J1hYdMfQ6WPdj4ZTcbpBax+6GImLXkeJ321indtfIkbh8/nYr8XX48r1pHRiXzqbOStliZyTFbeU+vIOTmDbY/0F0lxYww0bQjy5dmu3m3r7+hG80PGkab/KXu0JVplyHEqQ447MFmw/xPeVp31d4Ys113VOl3VIRfq5k0Bog6Q+/T+IOB1s+X5u6jftAwA3642OiqKOOjSP+PpaCJZ6sSMnMfvT91IeoGNkyadhMvxOtFyKvaqDyDQZwWW7Z+iZNyO5jiKykKF2GPbiZ00grq1X/Y7Z8r4OcSGSezOHchZl+PtcOOb9Rcs3WUIexwmk4O8zy5BVsTDYTeGSjB5QxOXGDoTfdvbYLAQGL0Iry0Fk78TX3MMrgrBzqe9ZBxpQvNLDnnYjkE4CfOuwG7cysYVV9C0QWfoQjP+Tp3oNg+vvLQYt7uV5MQCHj/qXj40hizjKoJ4byuOODPPv3Zpb9+/WfUYs2eaiY1NJyZ+7ID7GdR1fFLHphpo76zHH/ASE5mM4TfsujrIf4+UErerz326KeBliiGm/zHuVsJjDGg1AbYH/wtRHJ+LXvEt6rTL9kuff0u43W28/PqltLVXcdyoRQyPjOGE9kKanRqxauKA45OycqC7BXXC6Wif3oF01uPLnIV/zARMsVNYf0uA9LkmHMNULFEKAbckKttFZHgrWE8MJRcsW46s+La3TbHlFaLyjmHd6veJL5jC5N/9DVd9Fe0RhxAxNoCx8G2ISMJw9AOIlL4xSnM2IIs+QF/+cF9bqeMQMVmDXgSD/CCEGoYSfRvaa1chG16AmBwC487CnFuMpauV/GQz/owCwhQ/eSmXoltjaHXrrH/+j0w4+XJU5w6kSyDih9MRnEFbkUr77m5yF1sYcpwZocC0u1rwlZYiFIltZAKf3Htr7/l1PUCiMfQu8me5m7+OPwhrosKq34feRfMMFtqb7Hy8ehGLT3qMf75wOoGgF5PJxvx5txAVmUZu9nQ6hJEav4do1cQQq23Qmrz/+XcB9D9aYL2U8lshRCwQBzT1JNV6C3hLCKEDRwI7f6zzfRe/XIWwH6mq3sQb7y6hqnEDyWNHc/yCP2NR59Our8IskklWF+ORVaSKc7B7cjCteBdl+SlYtAB68Tg47m+IwndQ7NFoL57W265Im4CYfSNdpji8UcNoKytE6kGCXg+RGcNpL5rG5j/170uwGxwZo6ha+yxNVWuJy5vKnCkXsGLjy/h8XRS/cyUfLXyLCr+ZBocHVTjJDKtncVKQsm4rhX4/M8614m3VKX7Fh8khOOguG3HjDWy6v3vAtZe/48NZFmTc9TYcQ36Zj4euSYKegdu1gaGrvyi6W+p6BfFegl43QghyDj8dgNbGLjKGV5KSbKD81WMZOmMWuelxGCLWItUYZOvboWxWgJTpBD0ZGFMaqDE8Rmz+0Qw7+RxK3nkFqetkLzidpDFjCCtejqzahNz5OcZpV2F873e95zdkHIzIPBh940tob16MetT9aG9eHNoZmw0+J84Zt+GPdBO0tOHs0DD7qrCl5eOuhsqP/FR+5EcY4IR3qgj37ETqCgbFhavczo6/e8g/z0K3YxdudysAdQ2FfP7+9Uw/6Snestq4LjISR8Vyqr0DrSg7ij4if9iRdAYC2A0G1J6Jc4Orjb/WluAL+rjI38iXH92M09XI6DEnMHfO9STHDf2xv75BfmV43AGMJhXVELKmtAX8OPaJKZbdbTgSEmmp9FIS/I7Mf/sg4oejb3ljv/T3t4bT1UhD404SEvLJ7CxnfnIByzd/y8SxJxPuaiNtxnxipxWghOsE6oMYA/GIyDD08lUoJz5Bs89MfclOTBgx7FrNhLsOZtnJaQRcIe+uyBw46o4XUN65EUkoO4gYdjii4Ghk4Xu9/ehuDiX+aypcjXXU+fz9LifTjkzk8PnnEjf8CAwRiYjUUYh/9TJor0Zf/US/65E1m5Ct5TAoigf5AUhdQ9/4HrKpmOqJj/LBNw42vdnJIfOTmXZYAdGZHUS1b0V+fDMAKhCXPZuZ1z1JRNmH6CseQSaPwX/EnxDNPo5YX0ZXdwtaYywlj6TRtMpI+nMVmE3NCCHRlRjsaaPoqt4GQMK0+TS0riNKTcKDhjHHR3fQx9CFZtwNOi0bwBw8lpj89ygrX93bb7/fzUef3s0hk8/FD5zWrVLh68auGvjr0LGcEJeCSfnlh8f9jKki5DL9Xdt/FIQQeYQeuVYhxFSgSErZLoQwAfmESvTuV36Zqmc/0tFRyz+eW4TTGbLI1jVsxRhTS5u+CocyHre2h2hlFkHRRoP+FhH1c1G+eqCvgdpNeL98GPMh5yPfuQRl8vkgJfqO95DVG/CNPYsuUzK7Xn+I9vIdAEQNHYU5IoakcS0oplj0vtxQDD/XAu6ZxOYcSvSITPyJq8lIr2PknBswuofTWadirrUjuixsLdjDMcnP4VXeB2BMWDSp2gtEWFUO+Us4Y34fhoirx2/bTKeElGNz2P6oba9GAsCaoNBVI+nYrf1iRXFYvMroq6ysuaEvzlkxhazjv2RUownVbEXz9Vf86r+40Jv0FhYds4fatR9ia80lXZyFec8l6L5ysI1GybwbvfxGMMVDVRNK4TIij7mYWnkXtvBhOI4axoQp12ERadjCYzG9dCv67k8BUKZfif7Z7aETGa0oI44Ge3xI/G58CTpq8LpdGC//HKejhkbzVxhIJFJ6KFWvx0ctREJq4GIOWy1pLu4kWJbFthuSyZrnwbLuSrT6DRCXTfyIE4BQGZvSpT6SDynvd831DUXEdNVycdkHbNzyBqed8g9a2ga6f4eHJ9BgsrJw61ccGhnPBUlDEAIW7VzLyWEW5psEW9a8jNPVgJSSLZtfx6CaWHT8XzAYBks5DfLv6erwEhYe8irwSx2PrmFT9hljPB04kodQ8ZWXFl3HIyXW77NoRKWBpxPpakSE/2TVCH8V2MKimbH4eT5SI3jNF2CJSWHGsSdgNriR/jRiJ1ZQKW8CQEm2ECtepM1VQ1NuB0a9CHvnIXQsK6Jl13oAYnLHM/3JO1i2KGRlHnVmPcqK/jWK5e7PUA+/Ba1HFMuMKVTvKgRANVkoLepkz5YG9GCA/OFWYnOhe/dyrK1lGMedjOjJXi5UAwT7lxQcZJAfBa8LfddntI28mutv9lJTFnrXFUJjSLokbXoY8q0H+n1ELVmGnjUPv64SPP9+mlJbcPMP4rOPoIHHaJPLIB+yC24k+eXTqC0ew/p7BAgYskghbcGfad98N+mHHYk/xU1wl4dz4+wkONJ46JylHLdwChlDhmCOERQ96UWoZkY8dipdgSIMBjOBnt+Cz+dCVQysW/scceMvpsLXTZcW5Jw968m3hTPGHjXgcgf50biR/jHFAN09238Ie2OKIVR66UwppSaEGAo8JkIuAArwIbD0B57rP/LLVgn7gZa2il5BDBAbMwSX+WtsYggl2u2kinPxiBL2aDcgUKE1t38DQqCoPoIGA+bRJyCrNqCMOh4lsQCBRDVH4KwsQQv6ewVOe+k2YodNwOBYybwXj2b70xY8jTqpc0x07AliCreSc+wSGlKX0ClCK2dN6oc4xGFs3q7RXF/DsZOe5dR4Jy09ghggQBvt6p/Q5BhUkw01s4QtgZPwBkMLO5b8LCY/9zyrTw1N8oopVCt5zY1uxl27fxJ6eFp0dL8kLEnZr+4u2SeaMdpDLrr2dIWRl4YRM/qX/bjb4tMZecoStjx3Z++2uILJONKHARD0edj20j3Urg+JWG9HE6se3MLsq04jzHcXuLcim42ImKORsecT+HIp345+lETRSrSYRb3+Eirh2GMKCEonozsfhOJ/sUybwsDbCTFDUadciLb2GeisRRlzEsqMq9C/+QtBTxcttjKKrVf2fqyWZ8lSf0+pdicClQbjK4Sb8khJEBj4jGGvxYMWiVo7CfIORd/0ClFha1Ctx2CwCMY/0YKSmcbFBe9QUbmOtRteInPE0YSFJ1GydSlDsiazbuPLTBx3MhHhCThdjQCoqpGR+UeyvbmUXR6dXR4XX7Q38kzOOP6qdLJi6WW86m4he8ghzJ97Cx98ErqvW7a8wZFzriMm+pdZbmOQA0NXpxerPbRw0uz34TCYGDCkeTtwZETQWlVPsqpQGtQYYfz345AQCiJxOLJyDWLEMfux979+OgxWbvSbKPe1cUGSg8zoR6jomR+Hmm+hUvtz77FZrtOw1Veje+pJj5lGVeIq9sRcQc75f6b9hu1ofi+tezaSMnENSYeciGqG5B3fBY4AACAASURBVIP98NpA96OgORolaQTBIbNp0GOJ9HuYufhCLPEZuCwp5GTbyPG8S1jhrVCTgm/cBWxdv57cmBE4sscBITd6kT8fWfRhX8PWSETKmP170wb51SMNZpSsyVRos6gpWwnADffmMy3mY2xlNyE6s1AOvwVt+cPQ0VfeUCWIb/J0tkVfQpBQfHCLfI8s5VpcchMB2mmKf5SRZx8G67sZ+uIevN3R1BTl01XkwBoVh8dYhiv6S8JsJzLTqPCWx0nmwUmYzAb2POsl6+hQCJ7BJgjoLhyOZDzevgR0ZnM4uq5hsMXh0vqsORKo9HYPiuL9SPCLzJcNcyrgR84+LaX8TvO+lPJ54Pkf0vb/h1+2StgPWK0OhFCQPTG6UkpQwuiWpWQqV2IXIynTQrm/JBqaI7zf51vn3ckuo8IUrRNpi0UZsxDt9Qt7yxYZhs4gcuattMWnER+dgHPPZppee4DO6t2YJk2nbYuCr00nLEGh8AkPAZeks1Rn0rHtvYJ4L53Gzxkx7jpee34ZX+64gXnj59Kyz/V0sYmgdKIKG/Xet/Aa+jwdvKIcy2GfMP1vl+Eq11HDBNse8ZBwsIGo/B/XDSXYLan61MfaW934nZIRF1nJO8uCLWn/uLtY41TyzrCSfaIFxQiK4ZcfbyKEIPPQk3Gk5dFRWYQtNpWonNFYI+MAcDfX9ArivQQ9Xbi60ggzpYC/Ftm1gWbD7Vhcgs2ZN3HkrUGevcPHxNjRmEUSbfo3qFhIUI8hIIIYUsZA9QYAZOU69IPOxZ15OJ7anVgLTsNW9DKsfRpl3CLE0Bl0ZY6jPvzefn3Q6SYgWxjiOpfY6mis6hCUoIL25qXg64lpD0+g/tRX+IfXz9jhxzHR3YUjR5D5wLe88tnVuJY1kRCfy1FH/oFjRxzHpQ01vNjUxJLLVmKvWs1rSy8jd+h0jjvqXnz+bsymMNzuNr5a8TdsCx4Ed2gSL/Z2Ue1uY8UbF4V+20BJ2UpU1UT20GmUlK4gKioDk3mwBMQg34/rX8oxtQX9OAz7TKd6EAJerDE2dA0SO3XKI75fFENPveKy1SiDovgHUdjZSHlPgq0FcW29HlQAuuzztsnqOpPkV9YgKv6KCiAU8o57hNzYo3FG+Bly0xM0LX2Kzm0raC3eSFT+KbRsCbLlmQQmDZsANRv6TmqJwJk4GffiIwkUbyYxwoT5nYugKxRDaTn4QmJ1L2L7c6Hjm3Zh+2wJKdP/wJbXHmLKNU9gtNgQJhvq0Q+gx2ajb3sLkTwadc4NKPH7LMJ/D353J53Ve/C7OwlPzCIiZTAk5NeMz9VOZ9Vugj434UlDCE/K+s7jhOZHJI9GNoWMIWOnJjLDsRTrzpARTtZvR/vwBtQ5N6J92uMJYbZTmDmRuMjyXkG8lzr9RdL0c4msDcPc6MFi3on21TkgJSYgL3MqO+c8iuachUwEq+xia9FntE8cwgZvOyfFWDHEaciTKjDmpqIYVfKudiOGRuLzuzEYzASDPkzGMObOXsKKb//BiKMfYlebq18/Ek0/j5w2v2Z6BPCPWYLpZ8egKN6H+Ngc5h12PR9/FkqoFhM3FnvwMMoNJ6FKG3nKn/sd3xLfRcqoE1C2vYk28Uz8k0YwvrkR8cSJKIufQ3v7qv51fEu/IXJ8Kc43/kFjexMZVzxCzK2vEaUFQAbxtEHT+v4JWTqLNYThu8vhGYyhl7KSqq8J0y4asD9WHI5BRONp1ei0rxmw3ynWkX+0mcY1AZo3BDnoThuJBxsJi/9xxWrTxgDLzuobxDbd143RLhh1+f4tMWGw/vLF8L9istpJGDmVhJFTB+xTDP/GvVq0oqTdgN7wNASacGlG4uOieO5VgabDW18kklFQSoTVyhD1eoLSSae2lTDHMCzzb0U8dwZ4OtCd9VQnH822R68n84ijsSZEE73gVqI+uhd929v4Ll1OqyMS+R311cM9WUS98yYGUyxS7ETXg32CGMDViChexj+jxvHH9jbOjU3i2qeK+WTlc0ydHJpgm1vLePv9G9CPfoQZkXHU+b0sLN3G8vh8IsITEYrCK29ejt/vRlVNHDbrGiYcdhNXuvu7IYqgt1cQ72VPyVfMOfQayspXc8SCuwm39U+YNMgg++Lu9GK19YjigJ9wdR93e08HmO0oikJ0qplgpZ+K5P8cV0xiAXLL6/uhx78t9EBIEFsUhRhje79XeUWYCXnqSWLqkxAV6/t2Sh3tqwdQRh6Dwx5Het54Yq9eQiBwMWqLhW9m+/C1SZo3WBi/7EEMlS/jS41F2mOosYzi0IZqhjjreS3egcXTgph7GzTtRl/5KIo1HH35M/t0VMNGN43bVuBta8SYPASATpeXrrjphB09D0tcBrak/17U+pxtbH3pHiq+DsWnqyYL065/lviCyf+POznIzx1PeyObnr6Z2vWfAWC0hjP9pheIyRmYYFJYHaD5iY+OYMTENOYdFYG15O3+B2kB9OgUfItuRlqiqDSN4OSWDl5P9Q6oWSMwkFSShPrsJainvoD2wQ393nmVilWYu7ZxV1gG9g4j7S1zuWjuGTxUXcpVqTlEZbbyhwvfQUpITHdw91sn0JbaTnGLii0Y4MjDb8Juj8VosNLYXMxJCx9hT1Qu5vb1vQlmb8/IZ0SY48e9qYP8JhkUxftgNJqZPOF8jP4CrMYkEnLNtFhuYoh6Ex5Zii68JKon0uZeT3j1IrrrxvJm7R4KljyAbq8haLqOhDXxYHFAoBu6GnvbFgVHo6SMRhhVJt1wGTteeIfW1x4k5aY/s9zbgUHGY0tWiRnnZ/htpYiUMqQrCr20AE9hFmEHjaTbsL23vUgxmcTUISya/Qrd3R20fDyMjAU3UmV+AEmAcDGOTPUaVGHG2xLE1nEMHWnL+11vtDIdj30z6YePJ/3w/Zd1t37VQKG08xkPuadZsET9pJXBfhVo0oMrdh05J53Grhf+0bs9Jmckxogctn3yFQbzkSROmEZSRiLerjC6/aH7/vY3KjecdSUB6/3s1C5DxUaGcg1B0UlDVg2mm/6EvdWG5knHV/IFUx98iLKIu2kXhbSQyPDz7sZRBXpXDZHeFuJSLqHQ0Jc9V2DE0RSBsvPrUIbqynUhN+x9iOss5eMZC5i4sZynW+q5JDYCVTXwyechz4zUlNFMGLuQ6oCLK1oauSI5m1ijiT2qgyPm3M57n1yP3x+KI9c0P58te4AjznmPqsa+cIiZjjgiAgMTzEVFZhAbMYZzT/sQSzCTlR/sIS4lgszhMXR1eFENCpGxg9bjQfoI1SgOCeG2oJ9wdZ+FxB5RDBCZZKarwkv5xP9c8k7ED0NvKET6uwfr0v4AUjUv749IJtu+G7NipuNfbn2D9iZDlTuo0O9H7f6ODIydNWCwQMCDtaOCrbGngipJTbuWI3fPoKO2Ek3z4Y2Jx5kTQ6n5USRB4vVT2GFbjKO1C6X0C+Tuz5GOFJT8+SizrgVXI4Qn9nNLBdCEEbMjFtUS+r5b9mzimztPQQuE+mayRzLz1teIzMjr9znpbkU27QZdC7lc98Sht1cU9gpiAM3vZeNTNzPrzjcxhw+6mP7aaCvd1iuIrdEJjJxzPFSsRLMKlMT8/kncADH6JOzFrZx77lwcQ6theQx0NffuD8w6k+oR26gVIY+GSHkeT8csJoxY/ISh0zeH5viuQ/2op3KqYgDnwBrciYEu3vLU8UrWJBaVr2W1s503EieitcGXu3f1auiGqk521jRwnlpFt24i0ZLF/RFmPnn5DA4efyq1DYVsTZ3Mk2XbuCYtFyTMjUpgjD0SizooZwb54Qw+Rd+BrpmximHcdPxSnizPoJNv6NS+wUwSZpGOreY4Su84m81vS7KWQNq0oez8sI7Rx5biMZhRnB0Q9CHd7YhhhyN3fYoy6VxkWznaZ3cBEB6TxcSTH6besoN6+8nk2zvx6+cRP/kMJkzfTLVlB87AUOzJJUQULCXMfT65hrtoU76gQ64hUhyEwMAu49kkmz5k9wUHkXCHkfDasxmftgDF6ke6kmlYZ6G7tpOINCO4ZhEXdTbN9ucQCBKU43Gzm8rgXxmtvopDHbff7mlY4kDha09TMVh+XZbcn4ouWUSRfj6R02cyJfmPOEt2YIuOwJowhi/vvqB35bb063eYecOjeL0t3H1ROJecuRuTaiQ+0cduGSrHpOFGESq7tKsI0gkKGOIiyVMepDn9r3QQTYp6Nk26AZfcjtrZBEvvwdrVhBXQJ5/DmMOeocL6NAYiiFZmoHj3DjUCWbUOZcpFyKr1/a7BOyIfl/EK3h15PyfsaKSjs4YdRR/37q+p3Upq8igK8tOgczdLW2o5PCqRgKJhNofj8fR369L1IHppLXfbciix+zkoOgbTVjd15fXk5c5l156eBGKKgYNH3MiN8woZMz0Dv7eYbatqUA2C826bweZvKskZm8iYaenkjU/CEf3DhIrXE8DZ4sEeZel1vx3kl4e704clbK+l2IdtH0ux9HaCMbSQEplooqvES7n2X4hioxVis5GVaxE5h/74Hf+NkBWfhNH0AGXyBSL0cWQpS6jSH0fDhZAOtjvHU+l9jtzoAHFCAdlnxRf5C5DFX6IMPwLN34mRGDLUS9Glxk55Fr6UGgBqsZCt3obUAsSLo7Ebs/BE7cBiHIppTSGibhvUbUMr+Rr1lKfR3rgIcdQDyDcv6h2T9YQCGlucjDr1erzOZoxhERR//EyvIAbwd3VQt+mLfqJYby1He+0CZFlooVskj0I97UWU+GF4O/oEzl5cdSUEup2DovhXSHdLSIiaI2KYdvyphC27FYJetM9VOO5hlAln9CZxA1CiUjFENZM6qpGW4i/R5/2BgCjDk2BC1Sx0JxioEbejEk66cjEgiInYTKtnJjniOTpZijcwGU8wHwJAdzsQyrYvhh+JLPqgr3NCoT0yA1qcWJwGbjYU8IdgId/uqqH8gSJOX3IIn/91M7oe+j3Uu7x066FxsiHg5eYuhRsPPp/YyCSys49i17YI7k2MJqK7BVN3A7q3gSItE2dpgLqSdqLjbYyYnEbq0MHnfJD/nUFRvA8t9S5KtjXy4bNb8XYHUM1eBCoO/+GE+2aBzUf5ayoVb0vCkhU6kyr506xQMow/5mcQGLcJ78FXYyn+GuF3ITKnoBvDICIBufbp3vOI1nKMG9+k5ajCUFZeoFX5C0mxo9jpiuaS7ROp8XuINAzhz9ljiY4qZ4d+KWY9FZsYikWkUtGTKEQkl+PvyGX1lX5mvCjYvbWU5Lw0PEWCtRftnVj9jFkSS0re5UREpKPTTYv8HJcMJX1zsQUH/UVxMOinomo9W7a9jdFgZfSoY0hPHYei/O+W3aSpRmypCu6a0IuHYoRx14X96tybfyo8shKADsvXpOQcTG64E+KOZfVjD4OUGKx2Cs65HOOwIGWRD+EQB2FQJLp+P150ymUqmcrvKNfvx0oWbrkrJIh7CNJBG19jJAYvVZRqd5Kt3obVG4/tg1d6Y+YAlG+fQRt2GGpuFj6xnT3aDWieN0ixxyF3f46SvwDaK1GmXoy+/nlQTehzL6cqfR1uuYPh9jpmRyZSs+vrAddZWbUB/8EqaWYrDtWISQisjesRSiph1ii6Pe19/VAMuGpMvHv5R8QmhWO4cBx/u+krTr1zPEOPuRHb7Ov5P/bOM7CKMl/jv5nTS05676RAQguhN+mCFQURBLEi2HVFXcV1RcHe1rKWtYENsaCigNJ7r6GE9N5zUk6S02fmfjhsQghX3V33XtfN8wnembfMnMnM+/zL8w9HQl9zCgPBzLk/EkGEpL7h9BkagyQrxKYGYQk08MaizSx/aiejLkvlzmcnEpf6z4VX52fV8NaftnBwUxF9R8ZyxzMT6JUZ+U+N1Y3/X7Q0O9EbfZ/Qeq+bwHO8MThsPnE6IDhOR94aK5XSLwifBoSIdOSC7YjdpPifhltTRqXyCQA25TAupZYY8QYCGUNudSwzi04gAx/oDOy8biWq7x5AaCpDSL8UITwNpbUOxVrIicTr8ZcGUMiNRIvX4aK8fQ4ZJ/Xyj8QLf6CVEzTJewgUR1Bi/gq/ay8koPxyDO8vAkcTiq0Sb//ZeIJ6Ic5/H3VdBaiDsGsiUIqKOP3tW7RUFpA57ylCUgfhF5mIIKqw5h2l+ugW7PUVna5PyVnfTogBlMos5MMrEKcsxhzetXJKeL/R6PxD/j03uxv/r7BEJwOQNn4qxu1PdSiXyxLSqrsR4oYgRPcHwN3ajK2yAGdjLWqjH0E9elMbbqMwejlemvEXhiEqPgNfD9WDFEkvtO8FgoRNVMlvU2+/j9tyGqn2lNLPaGHriAVo1i+F2hyExJEgij6RuIA4xCmPssirp4dGIrzawITDGo5MCkTdCIe3lRAc6seHJy7lvcePkL23BSm5w+gcrNbS7PXQI3MWpgIH9wz/EZNFx62v+fPj2oUoioJWY2RM2uc8dcPWdo9zbEoQL6+dTWRCANUlTbTZXDjaPPgHG4hJDkKl6o5O7Mb50U2Kz0HOoSqKsuuxNThYsGQs/no1oRVPsnHNSuyOd7nw4rcp+8ofkIie7ebJBza29z36vYaB6f0pTtxHz1kvIu34GNXA2Qj9pkLJga6TFezG3z2EVv2p9qZGdxC35dipcPvyQpu8HubnWNmckQxacFGOSymnRcoiQpxFmfwm2Do26LWlZawquRbhsMj0Ka8w+IkrOP6KG5VeQFBEdKFe8uTX8WDttBRZcXMuCov38MY7U9vzL7ftepO7b11HQvw/XicxIEXNxM9N1B/xIrkUQvppiBjYXfLmH0VLiUTtQQ/OepmgvmpCB2hQGwR0gk80w0Aifm4L+MUgW1fjddlJuPwKgqZE02j5BqOQQJAwmkLpOQxyLNHiXCrk5bgoR6IVNf5ohVBcis/yLKAGFBQkXEolWiEEp+ITa3MpNQQ6+yKU/thlna3WCuodFyAYPsbSeD2vLC7l2lmvk2r7CKNGD5H9kF025BvewW5p40TQk7jxpRoouHksJILW2IGwf1mnccN6jOKgo41AtZZHItLIKA2Atp4IZpEFM7byzqpJtLbWolbrmDzxj5gCROa9M463b9yEy+ElZUgkTTMiuaK84Mz1wVMhiWh3vEhzxSw2fFzM3D+O4NDWYiZe3ZvqUhsv39NxfTtW52Ky6Hj4b5ei1Z3/9dna7KQsrwFRFIhJCcJ0pmxPQ00ri67+krK8BgAObipi4aUreG/vzUTEdedD/aehtcmF3uh7hzV63MTqOkcQKM7m9vDnoFg9zYUOKjw/7ykGECL7nfG2PParrvm/BXa3ByduoMMI4aKcEvk1DHIfKgpymBjYj/XNtaRbgnnXaSIz7nUGTxURao74vGzpl3AsrDfT6208ZIxicGgEHhoBEQERBZ/2h1OpIFJ1DZXSMmLEeciKB5Wgp1ZZjTN2IOEPfIxp2eOgMXG8Skbv2YIpMQJ7g53gpHR2P3EXitzxXEiOVvJ+WI693ke+IweMJ/6C6UQPmtzpGuWiXV2uW8ndiDJpEQEJ6Qya/zRHly/B67ITkNCb/nP/hEbfnQLye0RgUj/6X/sIRqnRl7ZxNhQZpbEEJbIPjsZajixbTMX+HwAwhccx+K5nKQ17p534OpVygsVxuJV6mpVD7e0GeuCnkqjzTmLeaStWr2/PmGW38VLkCO6/eDHsXY448lboNxUGXIHXoqMxrJEehQHc6kmj7m2wV4ncPcKKX2w8uodGsGtNHvb6/mSOTSQi2k1sq5p50bH0tWpp3F2H1qDGKBgoKz7JgpfiiEtM5nBBRwWOtKQZfLj0WCfpnrK8Bo7vLuO794/wxesHMPvruXJBJg21bQwcl0BErD89u43R3TgPuknxWVAUheZGByU5Vq66YxCFYQotjTZWfPAMloBYgq78KwsbG3ggIxbywDhconVxR4jTiqfz0RlvZvQCger+euyp6SjCERp0hxgs3ouw85z50sbRqOssflXjVrcT4r/DoyhUucyYtVoUfC8iD42oMRPQMpWaL3t2jGm2nbkWma/XL+SqhP5kPpSCLqYNKWonTZoiosWbKJY76tAJaDGLfTrNKUletmz/aydBIknycOzE6nZS3NRcSWnZYRqbyggPTSU6uh9+5tDz3tvSXCuLb/qa7INVCAIMHJvAw+9cSlSiL8Sl1etBI4rououv/69oKZNYP7uZhhMdG6jxH/iRNE2PWehDL+ElQh2JqFx5CFp/BOtnpE19CWv8eorNT4ECzcpeNAQTJ95KsfwS4cKV7WO5qEFDMC1KFkni4wSKFyApbQioEAQVAjoKpQ5laTVmGgyHCUseg3B6fae11vpFUudMpmfFW3z/sot960rZt66CgaMv4vJrk9CNTuagp45JEa9Tq6xq76chCD3RqCgkISyVnr2mkHPa9wEPCU/D2fNiBvqFcKUYR8gGE+VHZbQBAoVf2VEbLFz/wGGqQr6k1VnOnn3LaWgsYcycT5j+5Cj8DQaG3tOXhTUd9YwV4PEGK39NuwSzzYDL6eXdx7fz6AeX885j27hobr8uv8PGlSdZ8MQ4IuK7EtmKwkZevGsde37wke7xM9K4+7lJhMf5U1HY1E6I/46GmjaKT9d1k+L/QNgaHRjOhL83SR7M5+S0KY4mBItv46UzqjD4qfCUubBHKhh/phydENkHecOTKK42hG4l9H8IhafqyPW2EpAQRYB+JE10kEedEo3iimR3SBRTDdFcJybiH6amPL+BB67fS/qQKIKWTUDnaeKUR2JtYzMK8G19KyNDIwkRJqETI1HwoBL8KJfeJ1S8CJdSRah4CRIO6uUfsJMHQLOyD7s+j7R+U/AawglKHUht9n70JgunP32ftGmmToQ4KKk/ddn72gkxQNWRzQxa8CwhvQZ1uk4xeRzSkZWd23pfjqDSolZB4vhrCO09Aq+jDWNoNDpzwL/hbnfjtwCt0Y+US27GU5kNR1/rlB+MqIaabKSivdT5Z7YTYoC2mlJarHnY40+3t7koxyDEIckOHBRjUQYiosVfNRRB2EdL2xCs3vKzp2dpUxODB4xm6KDelKs+oV6zGxUG3NTTj8+YfbgH1t0SZT+4SJjjYPeuF7h8+Kv07ZPIsAuTeOrWdRSfOlM75SW4/bkJfPPGXiqLfYR8jWkff/ywFyq1mnXLCpHccxlz2Xxyal7EoA2hsbarTkh9VQsfPbsbWVawt7h5+9Gt3P70BN5dvJ2U/uHMuGswaQOjfsVfoRv/DARBkIDj+PhoNr46xXZBEB4BZgMSPuvmAkVR9v2719NNis+CIAg47V4S00NwhWh4QsyhT71MRI/RJFz4GLMLsvAqCuI8D30GqymIcdF3dBzHd3SUOfp0aSHJI2YTEqyGhK9o0u0krfXPKKFJiENvQNm3zHdi7EDIuByZjvAnAS3BGg3+Kg3NUmdhKpM6nwTxborkFwDwV0bgZ5tE6VPXkv+uzxsRe7WdXPsn7X0kyY1bbSVneSz9V31HmeU+AFJYSpL4GNXKF+iUSKK9t6GxDoVOhjMFr7ezau+YMffQK91XJqS1tZ4VX9zD6dwOMjRh7L2k95xEfNxgNJrOol0bV54k+2CVb2QFDm4pZu8PBYy8uQ/fWSt5s7KAOJ2R+2N7MtwSjPhvrGH8nwprlrcTIQbY+3AbkSM16C0NRDZrQDqBTx5SRoy4EbO+jFPmzzr18WBFFHyb+bONHobmSQQYpiBpK9ALkZyUbkHGZ/TREEiy6ol2o4xBSSRAGkiA1Bv3ZAvaugIEawGIKupH/4HX8GNmTjinN0r88P7a9jkaG7yERlnos+omhmRcjct8J4H6kZSr/oZJSCdCnMFpaR7qwBDChBcZP/xl0kfcRqnTRrEuCI0min7bg6heKdEcJ2EIVnHkhY4P4rabJTLfGciqg/e2t8k1J/C7dgY722wMMgdwSaNEucvBlSHROGQJvSgS6Ill8/aT7X1ampxUlzaj1nQNs4pJDmoXWDoXW77KbifEAJu/yGbwhB5ccUsmRrMWURTac6f+jqKT9RjNOvqNiD3vmN34baK1yUlQmI+wNnu9XUgxjmaEkOT2/4YmGIjIc1ExUCZF/dPGP0FjgNAUlKKdCL0m/+S53ehAU72dxXO+YsZnk3m/uoWlPR7BzGoa5M1YxAGECZeTL8r0CYojWaOlzaiwvqScRH8zIy9OxdbQwlivwlseiQ2tPkIcqtExNyyCaNVcTksLceMjHAIa0sU3MJc5cEcGY1cXoyGgnRD/HVY24AzOwLD9ZTxBE4jNHEtY2Q8ol12PX2QsI2ffhcvt5vSuH7HEpFCTtaPLdTkaatAYzJ3ahNSJCBkzUI76BLWElPEI/ad3HBcE/CISft0b3I3fLERRhS6mD/KcD/F+NAfsDaA1ohr/INL+5eB10hTtO1cQRBKGTyYiLgGNXSLKcx3FmhfaxyqUnmew4zO0dY0IO5cjuF0oI1JpTlQRqhaZ4B9KsctOgdMnbKlCIFgdAkYV/ozHLlehwkKq+BxiowFHtpWyDUb04WCYcJKafadpcJURoErmdFZBByE+g2VLdjB1XiYrXvY5jRxtHrAn8Oz137d/P7euggffv5+TlY9z4dw/sur1nLPuhYBao+ryra0qbsRa1cLoy1LZ9nVONyn+bcChKEoGgCAInwC3CoKwB7gUyFQUxSUIQgjwfyLA0k2Kz0GP9FCenv8ds8ZN5s6QJHDVIwy+mcMuF15F4X4xnmPfHuPw57nErAthwZNj2fJ5Drr4CCwR/iRH+dHytoBuajlSSW9GpcxFyd2EUvohQv+rEG9Zg1J5DCqPIb85nf5znsDWMxjcapRqAw7HAX6IGcHk8jJsZ4qT/zkhGJ3uKWAsIjos7gswbn+UTQ9GM/p1P6JHtaHSK2wvf4asvA7LsV5vQdUQQcy0BsosHeEmefKf0BNPqu098l+Po0QwEpop43dZx31QqTSMGXUbufnbCAnuwdwFf6NeJeTkEQAAIABJREFU/QGNuns5bpuJ0T6pEyEG2L7zLURBhQKkJI1qb5e8Ent+yO9yr3OPVVNW68+DRVkAnLDb2NBUw/b+40jQm6jzuAjSaAnV/PtUsf+T4GntWpbLaZXxOhVk9oJtO0rNcoSgSxFi7gdBRMCOgO83ORdGUvFgRYUFv6q7eG+RHWeTmnuW96TSf1k7IQZfZIJbshFde4SSGhVanYjOthWtwQC1exFTxkLmTBRDEHmRmUQ2mvG8riE0PIYbHh7N+hVZLH46hiTXWtRlqxEzZqCxW1G9fhXG6AyCJ/6Jwsj1ZEmzAXALdUj+DRTf0Zv6Y32IulUktBlql8uUpUpEjdGgMYNKJzDyRRPaAIGmXBlRBTpPEhNv+IrdK+dhdzSiGIO4vygLlyLzdg3cEZXEGP8QHijqUHKfH5bAsHkZRM/siTPHRmCoCbVGpLq0mb7DYzi+x2cZV2tErn1gOOJ5cpIkSWbHat+HOSDEiCwr2Boc7PuxgCtuySQ2NYjrHh7Jsic7QkYmzuzNrjV5fLB0Bx/sv5nopKB/5tHoxv8DWptdGEwaX4SR192VFLtsoO0gMkGxOvxOO6iSpJ8lxQBidAZyzkbEblL8i1Ge38D4GX0I9KiYFR1DsfQgCHVECjNpVo6QJc8hUn87FwiDaNa9R5C3D7eqLuWbF608+EwvdEeXYVj1FGMi+mAbdQ8OWSSsci/6VS8h9xpFjz5zOB34FwC07gHkVUYhNsQSYfcQEdaGM6hrlQUAQQGhaAf+8Zeh04J47FOSrl2BvP4JhJpToNYROvZOCptUhPe/oJNyNEBAQnqXMcXAWIQZb6GMXQiKjBCS7Cu3043/aogp41Hfuxel9ABK5VGkve/51M5FNYHBvu/LsDn3EJq/EnHXB6DSEOy5H3H43RTqX0VDIHHemzGU2VCWX+sToNMacYf0Ry9PpLftIN9kraIpvDeHel7MnGY7jyWEoRE/p01OoVR5k3jhTiTJjim/FN36p8nwt9HnzQUU6mL5YP1tiKIKY3A0hadKkaWuuxOX3YNW3/E+jU0J4sDGki4kd+vKRtKnp5AxJA616M/6T08QEu3HzLuHcHR7KXMWDkerV6PWiGTtLsMvwIDXIyFLMs0NjnOn/YeQX+HmZLEHjVqgT4KGuPDffzrgcNWS2cBTQBxQCizaIz36a9Yt3gH0A4qBekVRXACKotT/VKdfE92k+Bz0HhrFVXcMxuIWidIa0SuJfNx8iktNAqP1QXheL+H7j305wJVFTThtEkMXXkZds0Kzp41o9X7qrvgejzmUjJ7jkLe8gJLjy0lUinYhxGQijl2ItGYRALrlD2G+bQOnN6+lZOMKAPQBYey//zn2BNoI1jgx6p7CJe5H8UwifP12Sj+zUL5OTUiGQM1eNwMeCKCpuoHMsCvJr1xPa1s9fuZQpo19i6KHIki5p54WOoeXOCnBaThFwUcJpN0k0FLjoiy/lcAetbQppxEFE4kp6dxyw0r0oREUG6f6cksUaNUfJ1AsZuzY+9m6tcO66PE6scQN5igaChuqSTNaiNMbUalVjL48lRN7OwuFDLsunevLszu1eRSFPTYrd+Qf5nBrEyl6M2+lDmRUt0AIgWkqRA3IZ+27el6nx2gsQRDCQBeDkPI2irserF+DqT96dwMJ0mwKVR0ibzoi0bpSMBe8RFMTGIXpfPpMEXvWFTBkUgJluaXoBtd2mlvfdC+bDs1m00EPCRFqPF4YmjSKyfJW9Bue4Gz5oKH9ryY25gUOl4qYJzvY8uIpXvhbGtEbrmoXAJHyNiFe9ixYouDUGtRFuwi883aqzxaM1DSTsVhFeXELTa42gsLMqGQDockaKke3kC1V0b+tlKrTPxKgJJA6dgp7r47CL15F2NsZXDB7Gfu/vpvigCRcjU3EaA34qzW8X1XEvTGpna7vb7XFRGek81hJPjHJBvqYTcxZOIzlz+zm4uv7MWxyEgazBo1OzTuPbSO2VwjxyUHo9Gr0Z2rVqlQiY6f1YtRlPakpbUYQBUKj/fAPNgCg1am55t5h9MqMJPtAJTqjhtyj1RzaUgxAeWFjNyn+D0JrsxO9SYtTkREFAa1wlqFEUcDdClpDe1NoggH1D/VUyL9QbCtmINKuvwLP/+y53fDB6Kfl1IEKEi+I5GN1Bbf2aMbGHmzKnvZzJKrR2UNoOjKGivIT9Oi1k6tun4RhzePoaUXoeyW66hOEHvkIubEcoWgHCiAU7SLk1ABirptBnVBH4b43KKkycqrETWKEmSmDJpPp2Y5fyABaONI+X7j7InQHtoPWiCYgHDwOhPTLYM/ffIQYwOtCt/NFet+yDrsplsaikzSXnAJBIPnC685bbxZA0JkRYs5/rBv/vRCD4pErjiBtPuvdIXsJkmroO+NeQur2IlYc9rVLHpQNTxMX9iHR4l9RrGW0RvRHyt+IqMggiLSMf4pj2zcy1ONAOPA3AAIKtzPh2Occv3U5ZcF/wV89GKnZD0/+NDYWbCYldgRmrQW924ViLUS94Y/EXfgME4f+Bf8EM3WaOJSJMrEaEctSPbbGjsjEi67rx/4NBUQmBDBuWi/8AvXY27rq3qhEDZn9/8zpCAOFt2m48ZYrSPYz89jwT3jgjUt4at53NFt95Hf8VWlEJwVy6Y0D2PxVNg/+9eIu41ltXrYdc7Fun4PwQJGLhhgZ2Vff5bz92U5ufM5KTplvMzaqj45X7w6iX4/frwPnDCF+B/i7eEY88M5w1RJ+DWIsCIIauAj4AVgP/FkQhFxgI7BSUZRt/+ocvwTdpPgcaLRqrpifSUlOHW2izMkNlVgGafikpoSXtb148tPO4hYDZwyiqkHhxS+aefe23axdcxeZGVchqlUcL9yJuueFBOd0CPUo5YdRVFqaJjyH1tOE4ehy6mqb2gkxgLOpluKVb9PzXjeN2s24AAEVWtsQtt4YhCKBMVIk8yEj9cclRJVAUHQwlqBJ3OG/hfqyGmwHAsi5I4geV2oJ7xWDTplPmfB6+xwiRrz6Goa8U03R27F4MqvwOHLJ8y5AxvcS8RMG0K/XckpsRzopEQM0aZfRd+D6TqR43FVv8keHisMN5VBZTrRWz7e9R9HX7M/4q9LZ+2MhR7b5VJIvmJpKQlIQplKVT9L/LDR63Rxr9c2X52zlypO72DtgAknnhI/9tyG4j5qLVvmT/akddayTgDgdiZlNCJXrkJ0vgbscMf4JBCSUlgMIhnQExUVkeQXGuOeoZSNm0tE0XMSrdxQzeIKO95/YTkuTk7HTejHr3qEMGRtG7vZG+kTMgBjfxs7oGcUnn83j7dUdz0BmipYZibmomku7rFM8vY74zJlEvq5mx4kAqkub0dYc6lDEPAN5zzuII2+HhOHIO17FWCfCGVKsxh+7Uox/6mHu6u97F+qNGuZ/dgmaYeHcl3+U900yTTXH8beEcvDIB+w9+RYz//od+68LR78PPhuhZ8GNq5hZlM2TCX0ocLZi9bi5JiwOv/PUNJQUyDAFkONo4UF7Dp8uGECvkbHk7KlAEAT2rS9k3/pCLrspg73rC3h8zteEx1qY99gYMi6IRxQFkvuF84eLVyB5fcRHp1fz8rrZ7XNYggzE9Qzm0Wu+wuPuTI7Umu58+v8ktDW7MJo1NHrcXZ8ndxuIWoSzNBJCE/TIBQ7KXRIY+HmEpkBrHUpDCUJQVzXhbnSFwaTh+O5ypjw3gs9rqrg+ZhZoO++l/Num8vnKPxEXPZCQwBSsFa201K5l4qAr4PAK5APLEGIHI6ZdjPLJ3E59xZIjBNdfSrX3RrYf1bL8xw5Rox/2a/joDwPpUXUHnh526gxrCW7uRWBWPWL2KlyjH+DAytdxNVu5aOGzqD6e2fUCmsuw9BzP2D99QktNMWqNHnNkD9S6rhvzbvxnwmVrwFZZAIqCX3QSess/V8ngZxGTCZF9oepMRJQgYEy9gNSofkh/ea7L6UpdPs1eHbJHwdyyG5UgoAByykSO79xIXPoANEfOMdDZrZiaiwgV52J311OWe5J1618E4OiRNfRMGM7cwddjaK1F3voS+iPvcyJ3Ef0mpWB9TIfGX8C1GB7dNJPVj+2hKLueMVf2ZOSlCTjs6RxcX8Sqtw4BMHPhUCbMSGfTFx3CtFNm9yM7yMj8okMowN+AyBY9n66fwQe3bGgnxACbv8xm5CUptNmc3P3CJPqMiOlyD1bvcnDLix0itG9/38p3T4YxLL3j70+WZT7a0NpOiAF2nnCx6ZDzd02K8XmIz61HaTzT/q+QYoMgCEfP/HsH8J6iKG5BEAYCo4FxwEpBEB5SFGXZvzDPL0I3KT4PvJKLDStOknFfPyqMAdwWGMCckixOKDb0Rg32VjcpA6OYcPNQYgZEs2eLgy8WNbB763NcdtFi9uz/kAOHVqDVGDFMeoghcYPRnFWTVZIkGjx68n/8kX6XL8Jrre6yhobco/Roexazvic6IQLJI+BRO0ncZie43p9ArcjxZ+yMesnS3kdtEHBkhbHvxr/vuGSyXnEQkuFHZN+rEGSZenkjBiGWYHECRdKLJA9Jw1zoz9GCXMJT32onxAAtyhGa5P0IXf4OfPnPomgiKXE0VdUnSOs1ibKQNA5XdIgYVbidvFNdyMtJGcQkBfHMVzPaVXljU4Iw++t5QuzNnNP72/uEaLRIKEhnBfzaJC8lTvt/PSkWRAEpsoXdrp2sX3KCmKRA7n0yk4yUQkT3GeELlRmleQdC4IXI5S+QF7CRuuaribd6iDNp0AiBrPmsnj5DY3jp7g7BjU2fn2LWPYPpa32V1KvvpNA0jjThI9xiDrXlk3jne2+ntZws9mAWbCj+0ecsUoDoTOQ9f0OVtxl1v/WggHK+HHFBBSV7QVQhRPRGq4nCSApGIYlAcTSF0jOoBT8yLojk6PYqnHYPK+/YzKBVY/gk2MTaL+/G2lCEXm9h/Ji7OXTkc+yhWfglTkYpg4OtTcwOj2dpfG8eKDpOy5l0hG+tlTyf2BeLSt2eomAQVSQajERo9UwJiqDMZafI4CY/1s3xR3MpOOrznEclBqDRqvhgsU8LoLKoibsnf8K7u2+kZ2Yk371/tJ0QA7icXnZ8m8OACzpITXRSIHMeGNEpjPri6/pRU9bZ8NSN3zZ84dNaaqTz5BO7WuAcgSytUYU2WEN+XhsM/nnxLEFUIcQOQs5eh2rkrb/m0n+3sAQbufyPQwgxqfFXa3ix2Mhfe75FJW8ioCZCnou1zM3gAdewZfvrNDaVYzQEMmHsvTS4HQTl+Wq1K/lbIHXCeedQOUcgePvz3e7OFRyOF3nILlVx6oOFJIy4hPSpD6GvPoLTraZp/NOc3r+bttoyAJpbnARFZcDfvXVn4FI04HKiswShs3RHjfze0FpdzL6/3oc110f0ApMyGHbXK/hFJvzqc4mBcahv/ArKDqE4GhEieiPEZOJqqEKM7IdQsLXT+Q6Vha3v+ZwcpvA4hi54Bo02FDEiHeuLC4nulQHnlOO095nKjvwiNu96GFn2ktxjFJPG38+Gzb5xcor3UJs+hXjJjRAzCA8aGurdvHTXGh575VpO3qai9ToYvCYASZJJGxTJ+k9P8OkLe3ji0yv54vX9eD2+7+nyJTu5980p6C0a7I0uJl2aQfNHgZg/E/jmvtGsshSSK9vZ42jELULe0Zou96Slycm9L0/GYOqanlpe5+HTTS08OMsfrdr397x6t539p12dSHGrQ2Hvqa5e6yN5Xdt+Z4j7B9t/Kdpzis+GoigSsBXYKgjCceB6YNm/ONfPortY13lQll/JhBv8aTlgxR0STkKjwrLgQIxBEnMfHckNSyYw+4HhVBwuomjDMe6aXENT9QoS4odyJOtramp9eYVuj51v1v6Zmt5T28cWEkZQkptD9jevEzP0Ig58/Dw6c9ci48G9hmN39kJDCJLSQpvqIMV+s0nuuZmoACMaRc/49/2xJHb2LuWtcHYZK/dTJyrFnzp5LWahF15ayZUW4cGKpK8gdMZ+LrmrB06ha96vQy7D6E1HK/fo1B7iXMjy+07Seux6rpz8PkkJYzjl7jr3zuZ6HGeIhyXQQO8h0aQNisLs73vJXBQYybo+o7k3OoXnE/vxVdoI/lrReR0CEKj5/edr/BxcTi9v/WkTaz/MwuuRKT5tZeHMTRTbrkLs8QJYhoM6FEEXg1edxCHTQQ4Wmdl6wsLtrxrZX57KYf3DDL3ZgdfbNfdt/WensMdMZLWo4jS1FMmPUia9g1eSOTfi0+VRMAeFkH/8GN6UyaDzQ3Xho4iT/oTYfzpi/HC8A+ZiSTIQEutHcWsyaDsTAVXmLOTsdchZqxCG3EBdeAlmIR03deRJjyDRAqJCdM8Oo0xNmY1L1AbWf3M/1oYiAJxOG+vWP8nAjBk4PFZ636cQN0Fi3m4jex/cj35TE/fpE5jqF8BTwcHM8Q/k/epiFoQlAtBDb+LZxL48VHicHxqreabMp8TpJ2roHxzIvGfG02eYj/xPuqYPGz472ek6JK9MXlYtigLN1q4qmE1nrNW2Rgc5R6qoK7NRW25jwZJxXP/wKOY/MZaG2jaO7y7v0rcbv120tbjQmzQ0S26M56rmOztqFJ8NvwQ9Fcdbf/EcQuxg5JPf/atL/a+ByU/HkOmpWFSVPBuczl6bC4+rPwYS0RCEtdSL7BXYvO01Gpt8f292RyNr1y/FbuqcoiOX7IPUSZ3aPPEXsKs6laJqmc8eDaFfUufvkuzxfQOLd6+hPGsfZa1qTlc72Lr8FaqzfYbx8JEXUSq24Zq0CHR+7X29aVM5fWAX3oospCOfI+1fjlx+GOWsl6+z2UrFwY2c/OJlSvd8T0tVEbLU2WDZjd8uKg9tbCfEAI0FRynft+7fNp8YFI/YfxqqYTf7am8X7UI4/hVkzkEcenP7eUqviynK73BotNWUkrfxM/Zt20F9bS2haYPJ270ed+aNHYMLIiVxQ9i44w1k2fcM5hfuxGarJiS4Y79osyTx/KpMdgU/ReOIpZSV2rE1OLAH2Imb4aLXo/Wo7T7tjQ2fnaSuogVFgRUv72PohUmdrmfnqhyufG4EM2aOwVumQ2VQsG6TqZ4rcukWP/o/XcsbrhTajAoDxycAoDequfaxCSz+/gbUfVNZvt3O/mwnbk+H46W42s3pUg/zLrbww347Sz9uprpBYsmNAbjO4boWk4rxA7pGbvSM03Cq2NWl/XeErmGBP93+T0MQhJ6CIKSc1ZQBlPza85wPP+kpFgQh86eOK4py+KeO/6fCFNmEghN9YzLhGg9fPX2YSdekUraxnKCkYNKHeynK3UPSIAsbl58gcbCZuroCLhh1GxVVWfROm8LRY19TWe3bPFs1BmJ7XoiQdAHeyAyOLp4HgEqrR3I7kb1ueoyfRdGWz1EUGVNYPErsTExBpyiVl+OkFD+hPymqJRRKT9K7zwVY6hIo+sZF/koXYYPV9LzWQFBvNQGpAmWd9a/QRnr54vkyxtxzJwWq+9vbg4UJNCo7qTN8R6JqOf7OKdTpP+zU1+Dsy4ahJkZu/RS7ZSsuVQ4WaTwG92Amz26hsdaOQQgiJWQ0o6Qq3qeyU/+rQmMwq89PaF2SRIXbQaLexDOJfREEAa8i8+f4dBYWZrWf93BsL3oa/M47xn8TaouL2fJVTqc2yStTkuckObwSIfYRFNlDsXgXa/YE8rfvGwjyE7lqjJFhaXqWf5PC7bfMJT/gdoZf9TXv/LljHEGAyx4cxPHUUJoEFZfoj9EshhLsnUmJ5OW5Bf44XAJfbGvjRJGHuDAVsr2B3K3f4hoykX5XvQurFnTUSNSaEOeu4M8OK8PeHc7x026iJq8k1roGmsoQ44ci56z3edQC42npGYbaz0yt9Gr7mgKEkag84bicOi6YFsvoq81oTS5Ucg1Op63TfVAUBUnyIAgCmv4lPHPTEXKO+tTO13+QxfQ7B3LJsB85fGQZyZF9ueLCP9Ny0MtzzRGkXZHIzPz92M8qjfJZbRkDzAEkq4w8cvFKRl6awg2LRpGcGYE5QE9LU2cDkMGoQRQFpt82mP0bijodmzKnD0Un61hy07dkH6wiJNLM1XcN4Y1Fmzud9/y35wmn7MZvEpIk43Z40Rk02Jq9GM8tx+S0gaYrKQ6O15OT9Q+Q4rhByNv/guJsQdB3vwN/CXrGBGH1lqKszOPLSwfRUCTjlzoKyVnLwYP76JkylpbWOsaOvgOzKRiNxoCtpYbWxrJO4ygnv8M58xMIy0BvPUlz5HhyzBMpqrPw/d42Smu9zJ5gYuFVGnLLPZgNAtHqQ+1fwNbqInIPbiR58rUYAsNxNNZgie9FXbiWHd/cy4xxi4ns/wf8dCCJOopOHiMyJRbhk9lIzWfWotKgnr/Wt3fwuDj97Rvkrnm3fY1hfUcRmTGOiP6j8Y/tSTd+26g+vrNr27FtpF1x2791XkWWkPe+h7Tm4XZPmNxnKq4Zy/G6HDQ7FXLee7xTn8ai44T3HsmBD5Yw5k8fUl55ipMGNWE3fE147iaU+KEUVR7tMld+4S7i4zKptxYSGZ6G3dHGtnVVrP64kHlP9uOhjQ7y1o0gIqmGdemLKK84TKI4jFd2PMKxjbD8yZ24XRK2BifRPTo7jCJ6B9NY0MpDsz/mmscnEX57T/TzRGIENWK+hf3f5HF8QzFP/DCTsdPSiO8fSfj4gbzyVQutXyrcfLFIg01m5EvVfLk4lKkjTew56WT+i1aySz1oNXD75RYCzCLbs1yEBogsmt1VvO6qMSb2nHKx+6SPBF82wkBJjZeDuW7SE363IdSL6JxTDGA/0/5rwwy8JghCAOAF8oH5/4Z5uuDnwqdf/IljCjD+V1zLbwZtzRL7VsloMtVk9i5Gb9CzZWURUcmB9J/spLBoB4UN62hprePu9z9CclrxiEP4fNW9CIJAY1MZkyc+hMfroK6+EIvHiZhxNdL6JRCWTnByf1rrKvA621DrTaj8NAQOTCNyzKdkbSonLxcSNC7ydbch49t8tyjHkCQ7oeIk1jeWElVvoeBBnzBg7QEvBavcXP1DHUlDqskN7IOr0WcF0wYIhI6ByqMGvngwiOue/han7iSy2EabkkON/CUANdolxLa9itdtpVG7DjV+hLTMRy7MoO+tBhqWGTHFzEXdDLtesDN9RyCxF0UA4KiXWT+zGVM/I7fOSeIdRyESClODIpkVev4yM8XONp4qzeajmhIMooo/x6dzQ3gCARotN4YnMsgviFKnnWidgb4m/y6bzv82KLIHnVBOQKiJxtq2TsfMAUbkhnWImiAQjWzIGsnJYg8DUrR8t9vOvtMult4USJ8Ekeb6NLQBbiyRVST3DSX/uK+8yOy3JrJsQBtHSk5xmyGOVmoINcxmzeYh3PsXE4rSjCDAo3P9uXSYwrQRIqJVBEGgtuAkcrQelaMjvw53G0LWV1Qlz+BJpRh9mshTKg2Pp89gzv43UH54zPfwCgLuy+/gaOADhMvT6a16G7tSgCBoENz+nGrsQdgjAv4Hf2Dz4VWEBCfQdqCByy9ZwpdfL8Tt6fDMhof35JvvH+Ha6WPaCfHf8c2bh7l3aC8AaqqOY/v8FtIDXuHrR7MJvzi6EyEGUFCIqYZjaiu9RkazY3UuO1bnYvTTcudrF/LcDd93zBtroefASFqbnWh0Ku56fiI/fnICtVbk+odH0WtQFE/P/769JFl9VSvFp+uZ+8cRfP7qfrQ6NfOXjKX/qH81Cqkb/1dos/m8xKIo0Oz1dPUUu1pA3TVxOLKHkZMf/fIweUFrQojsg5KzvlO5nW787zCrNNS4Exg6VSFPVHhDLOfixrEMlt0I/IWa2lymXrKUrBPfUVSyF0nyEBaaTO8rX+o0jjJ0Hi0BEkQPIs85j+2HAmmzKjyzohFFgUuHG6i0SjicCmv2OThV4uHa0QnMGnQ1toOfE5jUj6JtX5K79gOG3fo02Ws+IGz8VN5b5ysXV9daRtPWPditPhqt0urpndYDofksci55kNYvQbj5W1qrS8lb+36nNdYe30lor8HsemE+4xZ/jiEwHACP047kdvz78lW78U8hKnM81Ue2dGqLHjTpfzn714NUdQr5h8c6N574lragQeQcP05435Fd+oSmDUVjtpBx8xNkVe7h+41PAb7KJNdc9RpNTWVoNF3fcTHR/RBFNcOH3oC/Xzgt9hIi44Notjr4+Mls+s7QkDbZy3crFhE58GoitDfSVryL7zffwfU3fcS4BcNwNIo0FPrx+n37mXRtAhmTjNjqRCwjenAwv4YbXp7K2powVj/j23NYTAIrFoWi1atxtHnI3VTGJy/s5u61dzH9sY6azQvfbOTd+4N47/5gyuq8lNW6eWxZE9mlvsg5twf+8pWNpTcFsD3LxeYjTp66OYDWZmd7dCOASS8QF6ZiQqY/giCw64ST93e30rdHhwOopsFDVYNMsEUkNuw/P9Jxj/Top8NVS+BXVp9WFKVLXqSiKIeAEf/KuP8sfpJpKIoy7v9qIb8lFB8R0Wi0FFd7yRxyivGzUnHYJMSQQ3y88mncbjujRizAlDGTXZuf44LBc9FoDKQmX4CiKEREpLFn33IG9JtGa1M5UZZI5O0vg8aAuud4MpMNiGEp7F32NCOee5Fiy7O0qo6iJ5Zg159485lK7ptpwUtnb5SdPKK4hS9rZVqkk7yxKRx3dhWOkhjyPglGyV2P//7HueTZ16hvG0NTqw7/CD0HHnbibkyg37R4rAcVlMzTVOuf7DS2omhQPJEcWNVGr35/wO3yoA++iNz3tOSv6CAe6bfoCUpTIWo6ckSb87zUHvTCQRh1LJZJ10cjqRUGhVmINpxfIOTjmhKW1/iiIdpkiT8WHaeX0cKUoAhMajXDLMEM6/6gt0NxVxNsPMB9L43i0Ws3trdnjokhKfQLxMDxyOUvkxOaRWmdzA/7HZj0Aovm+PPNTjvVDRIBZgF/fRAOBNrqw5h2eyLhMX7IXicbUj2hkhI5AAAgAElEQVQcqfNtzoK9alqLe+DxJvDA6yb+XspYUeDpT5tZelMgtRXV+Ktc9J5+D1VHtqDWaBEnPeIjuo4m5APLEayFxKXrOGUHpyzjlF3cUVfNqPEPYeo1Bb2zGUNUH3KiX0SihUplGVZpI+HiFfh5x/L4xSWkz/EyYEgdRUhMHHcv1dWnCQqKp6mpghHDbmbrjtcAGDH0RnbvW0bvtClo9SpUarFTbq8kKaB0ZIs4HE2YUlq47uMpZHtbidEaKHd35NNP10ew5v5dDL4+jbgBYZzacSbUssWNPtrA/NWX4zrSRFSkhYxRscQmB7Hx85M8es0q9EYNgycmIssKQWFG7C1udq/pXLt07YdZLFkxjc9O3oaoFgmLttCN/xz4RLZ8eWnNXvd5PcWC9jwbxhg9YpWbtlYvJvMvM/QJ8UORslYhdpPiX4wYXRB7/BUeL8hidngcDxae4iUa6J02GVtLDXZHIyZjIJPGL6S6JoejWV9zKnczobeuh1ObcKv9kZOTcPfIp1z6ACH/R4qrvQT6icSHq5l3sZllP7ZS3ywzbbSRhVdbuPl5Kx/vUHHRvCuJ1dlwt7UQlTmB+pyDmEs2MmrKRdS5m9pDTfdkrWTWtMcoW/kWLpsVrSkAndg1FFppKqfq4I9og2N9OZ2SjMZkoffE6ZgNWgwx8ZTuhJbKQvQBYdSf3s+Jz1+iraaUxPEzSRw7A2NIdJdxu/F/j8iM8UQN2kHlQV84X8SAcUT9G0mx3VpNyY5VBPsbCBp/P8gyuNuQ9y8DVwsqvKh1BpzNVmKGXUL53jUABCb2wRgUwckv/0LSDQ+wZuszAPTrfSnRUX05fmodMVH9CAtLJSF+CMUlPl0YP3MYyT1GcjL7R2rr8mhpqWX21W+w4FUtz17bRl15G0hGHHYH7omLubOxEYdXYnDqdO5JHkeDYwcNwY+is8QQG7KUV/YMo0T7MDZxLyGEEaE8i0nblypTMKu/7jAu2toUFn/YxOuH7qXiQAEmncAtz01m0+HOe+gbp5jJKvSycksbIf4iEYFqaho6G8QB7C7fpqd3vIbiQ6U88egGJs3qzZRr+xHdI5DESDVajcCSswycggCpMT7yu/O4k4feaWTvKRdpcRqevzWQKUO6Rg79p+EMAf41SzD95vBz4dPTfuq4oiirft3l/DZQX+aipszOqOEKOC0EJzooOV3G9+sebD/HHpxEvdvFkFF34G6t4vt1i5HPeJtEUcXlFz9BWHAP4sr2o1t5E8QOROx1IfKaRZgkD5hDGT//Iw4FPkYrvlBhJ+UoaYuZ98JTeNrcnCtNpMJMg6s3axuq0QgC5dZs6lc/g9YvkEFL3kWpz0VwteJ34EY8Ax6mqmEeWbd05E2UrRQI6akjdMAw6jAh0eFxDHM/QFxYIldd8RdstirM5jCUojjyVzR1WkP2B04mfmjBHNPhGRHEjpU2HZJpOgQgoNl8fjXdBo+bFbVlXdp3NtcxJSjiJ3+b/16oQGVh5IV6/rZpPCX5bUTFmQkO1+HvehVUl4NoZNMxDduO2kmL17DrhItH3mvimVsCaWiRiQ9XU1oZTH//xXz3WhNfvroNnV7Ns9/NYJOzIy1kvaoBw/d6+kwLxH1O6rHH6/tgaNUKBWuX47HbSJ96C6KnAHnTMyBL4B+N6qIlKMCMgDB+aOqw1I7zD2Vpq4OVLiMqwUTvZg8fhV9Fo2oHAC7KqZQ/JtI+ndEvRdO4rQ6d140oqPhxY4diZmREOjOnv0Zi4gg8njaqqk6S1vNCKiqP0mavJb5XMIUnOuYdeVkc1c2dczP9+kdza0spjgqJFxL7Y2txYjBrCXaIlH9ezNfby9Br1ASGGhl5SQouu4fiPCvbja28pCnhw/mDuTzM5911tLn55IXdADjtHnaszgWgZ0YEsxcOI3VARJeSZEY/LRHxAf/k89CN/0+0NDkx+vlIcZPk7eIpVpw2BL+wLv0MGgFPlJZjp1sZMeiX/fZCwkjkz29B8boQ1L/b0LxfFXZZ4lhrE3dGJzE/7zB+KjU6TxuiLprdG5+jptanG3DsxGqGD7meyIh0qmqyqY4axrHPPkGRvIx7/00KpKUYGh/iT++IzBynoa5J5rbL/Xh1lY3CKh+B/Wp7G4NStYzP0LL5qJtWcxzR6ePZ9+SDpE+/m/DYBLQVaxCkFgKsRWT2vYJDWV/jcrWycvsSJlw+n4Hhg2gsOE6bwcy5QfKunpdzcNmTqA0m+ly9kOyvX+eCOXfgt+0JsFtBpWXUxAeQ9Aaaik+xbem1yF5fIuTJL17G42ij35yHEM88ox5nG9bcw9Qc244hJIqIvqOwxKTQjX8/TGExDL3jZVqqfPm7fpGJaIz/fFqE3VpFXfY+GvKPEpwygJC0oRjP7KEURaFoy2fUHt1EwoghyFufA9kL5jBUUxYjbXoOm1Oh9sRukmNTcTbXMeqhZTTkHaGlqpCTX70CgEvxoCgyYaHJ+PtHsm7D0wAcO/4tIcGJTJn0MKOH34IgqlBkL1qtCb3en5Sk0YSH9yK/YAe5BTuY+eAiSk958Ma+idX2Fk+UdqhIH7C3sNISyuOmv284ZMpNjxEn3IFN2QuAm1pKhZvpk/o9J/OCSYlW0yNKw+E8F3VNMlmFHvIqJbZVBOJ37CCzHh7FiQMde9PoEBVGvcCrq3ypVzWNEtcsreOVO4K4+/WGTvdVrxUwGwQemWXm2Qs/wO2Weffx7RScqOXRZVMxGLXcPc2CrMDnW9uIDFKz9OYARvXRU1Tl4ZYX6smr8L0fsks9XLO0jo0vRDAwtfv9/VvHz5mqLzvn32fvKhXgd0mK43rrSOgVyYvXfsLgi4K4bG46kl8e427ZRo0sEiWCW+1FL4jUl+6jpuJoOyEGkGWJouL9hAQm4u43C13tacR+05DWPNIxSWsdyqq7CLp1FK2GLILsUzAXDKetqJqw0Fby8oOJGngDDeZl7V0s0mKuPukjqaOMfki71wLgbmmk5OBTRFx5F/oj7wAQ1LAVOf9uoLMVrPQbmb639AHHahrE1UhiNQHeaQQKwwEICU4gJDgBgPLjXUUDFC/oQzrTdf8UFZGj1VTt6LByx07R4p9yflJsUqnoa/In39k5ty65O2/4f4Wgi0DWRqJVtZGefBgYypuPZ1F0ysaEafdz9c0G9BEXYKwVmTXehNcLFw0xYDaI5Fd6yEjSsi/bRUFlCL3CbiZ5msTzswax7A/f8+aDW7hoxWAOtDQCsN/ZxDVTexGg9mf+pQorNrfRYvcZV/yMAukmG+lREsdVIm11ZRjddShbnu1YbHMF0uHPODb4nf9h7zwDo6jWP/zMbO/JpvdegACh996LYAFFUGzYG9gVe0OsFzv2hooIKDYQaSK9txAgIQkJ6WWzu9m+O/8PCwkh2P5XvVcvzycyM2f27Owwc37nvO/vJe/bEJb1GkaVqQy9XM5en485ZcG8aD8Sex1Wjtj7kiZ9SJNsGYpAMgr/aEYeKqfS6+KFce0xBLzs2L2o1fWoqMyjpvYIe0t3UZI9kfSsJHySH9FSgVofyYBZ7UlZt59je47TcUQW3UdIfPH9yub2vXpfjVLqyEsakfeEPCx+D4e9dj4rPk6cQs3MIQkktAuj3/kdUGWnsWSDC61K4MYnNDwp3wZeSFK3GIcJooBa2zZESqmRozOqueXZEcwc8zEOW3CwOmJKB7K6xvwh98ZZ/nrsje7m+tSNPi8RmtMGOy4bmJPP3Dheyc59tt8uirWhEJaGdPgHhPbj/o1e/+8QKlcSo1DjkIJ1DKx+H9HJ/bBbipoF8Um27viYoYNuRRAElGKAXjMeQRcajksMTtw2VHdl/T4PQ3L9dMlQsinPTe/2Kh6cHkKEzkWM7wDusqU8OSgWx7m5uPxutj51HzKFivDkLIx730XW5SL8yx9ErjHTb8wThEZ3IG/fF8SFZWGWh+J3WDn4xStUp+XQfcSTaHa+BU4LUo8rKa5w4mqsgcYaDLFp9LpiNob1DwYFMYDfg2rdk4g5oyg7VtgsiE9SuOJ9MsZcgS48FoDj21aw9eVZzfvV5iiGPLAQQ2zKn/eD/IUE6oqQynaCx4EQk4MQ2xlB/O/xlFVo9ZjTOv3iMZLfi3R8N1JlHoImBOK7IIa2Tq/xOmzs/uCx5tXdI9+9S2L/iXSd8SRKjR5XQzVHvnuX3udfhmz1vS0N7dX4N87HPfFV9r54L16nDWddJalDL6apupSDS19GOmU8q/KJqFR6OnU4h3U/vdaqD7V1Rfj9XoqKtyJJPurqS2iwHGdQ/2tZu/41tmxfwJiR96FUamnfV0+n0VYaRQVHz+AN973Nyh1JQzlevQVfkwqpWobXJMMQJcdn/ASnbBsQwGJTkBSt4LJRejQqgVE91FTW+0mMkKEKuDl/kJ6a1FwWP7eeftePxKizYW2SGNVDw9L1rY0wJQmsjgAxZhkVJ1aMLxmuo3Oagq8fDeNfF72H55TSiWsW5zPjoUGkdogkN13FazPDuONCIzq1SEpM8P1fcMDVLIhPYnNIHCnznhXFfwN+LXy62WpOEIRdp/79Tya6Yx2vXVNI+VELGkUWTX7YEteFuZVHSFfpGCqFMiE9idqja9m353NCTy9LAwQkP+s2vka3pOGkjfwXOnsRbYbMNUcwNE1Fq2wHK1PZ/XlLTlN4+75E181Gc3ACsoQarMZoZhY3Uep2kqzUcLvXR8POYBitKa0X8pQJ7C6LIGHcGuLWXQS1RwjP8lF42nqzMUXEVhIgqWM3kuj2i9fBlCZHZRZw17esNoe2l2FKa33bqM0iA182Uvq9m+NrPcQPU5EwQonKeOYXkUqUcUdCJqssVc0lcTpqTQw0hZ/x+LOAIIiIshACiJRW5nDrhDU4m7xExBlQG6M4XBiJTExDqwnw0hc28ku9zBhrICpUpEu6EovNz8tf2Lj1fAM3v2Rl80EPqTFy3nptGmtf/JrRijDW6OtYb7dwmTaDwj0RPLisiRC9yH3TTCxa66CsxseD4yX2Ld1EB4WFtBGXsH3+3aj8bR2XKd3GvnAvTy9y8fwSF9/cF0KO/VMejW47GFjjaOKGYoG+pispcTUxIVxL5QkXV62vCo/P0WrS6SQNljL2bZzP5JgOLF56G3K5iiFD7yQgD8eaLdJlcFcGe3qy8YDEvDV2bp/0Fba6Q4THpPHh2iRee7UJlULgwekd0XdvYIElOHNd7HFyG4eZ91RvZNp0Lny8pfTKhz808emj3QkxW4iqkPCqfSiUctQaBdPv6c/u9S31xlUaebN7Zsc+Cby7dQalR+rRmVSktg/HaP77h1P9r2K3uJrDp63+M+QUe2wIZzDaAlDGKzm43/a7Pk9M7oN/9yLEs6L4N5Oh0FFy4jnymDmUg+vnERfZdkU0EPATbk7G7qhDYy0lzFsLzib8NRaIBoMnDbkM5HKBy+bWYm0Kvg/X7nbx1SXryP+oZbJbG5dNxoUPsMfvo8OFtxGmciOk9cW/5lkISyMwbi7v273Exg6gz+5DNO0p5mjZKrx9JxDZoQ/VBzaxqryYlF6jCO2YQW15GUdXLW4+v9/tICIiChpPc6qXJPy1RchUbU2BFHoTshNml67GWvZ9PLfVfld9FQ3F+/8RojhQcwTfm+fAicoEpxqV/Z2QDn2P790LIDILQZSDqITLP0MMbfFosZYXNgvikxz76Usyx87AnNYJn8eFUh+K0t90+umh5jB+f4CEPuNQ6IzIFCpKNnyJITqZxP4TKfmxZb2rfvMqLp06n/Kqg/gDbdWsxVJGanIvvvn+ceJichg7ajYlJdtQKDQM6Hs1SoWW2Oj2vLtgKnKZkv5DZxKZEWhzno46E9uqbeywNvClu4qumjCSN6QxKG0yq3YN5roLK2m0Gnh1bQzzv6ptbnfFaD3hJoHl2xx8vdmNRiXw0k2hDJ7ek8SoAB/dF86egw7Meth5WKS8rvVYIkQv8tmDERRV+TAbRDqnKYgJU7D1h6McL2xodaxcISJXtDzrNSqRnBRVm/OpFALuU9ytAcw/Mx4+y38Xv8e9SPr1Q/4ZOI9nsHNt0IBKq1dij1XxdMkR7haTiVrfhCxaoDHajdppobRsJz26TmHP/mWtztEhexT1llIcnia2vvcEg6+4o83nSOYUVKpOhNXCvqWtDTRq8zZSV74X66ox5M3zYeohcM91fpL6BjCpHdStXIo3KglFWBZ7K4bx+dzDQBGhEVoem7+G9u0lIq0a9Elu7CUtpluxg+VYC/yEd/z1xH9DkozRn5vY8qCdmu0+4oYp6XG/Dk142//cxmQZHa7R0uGa3zbQ724wsyF3KAcdVlSiSEetiTj1WZHwS/gFAcFvpaQ4HGeTl6TscEZdnMPhE6ZSsTGplFb7ySvx8sClJhauaeJw2YlJhxQFD003ERkqIydFyYR+AZ5cYOHxBTbuuP4cYhQVPK8VsUV3YvXqMB75OBhiZLEHuPdNC58/YCb/mz0suX0zj77RBa+9BLlaT6dLZoOxbUSAL7orW4q1TBmqo12igp3lYDVM4QW1jdGOlrCpTI2eaaEmemtkPFZezmGnnVHmlhXUNK+VTds+oFPOOezd3xKoEmKKR3Wi5E1jwzECAR8ej48Vyx/GbYzjIa+MQClkawxM6ZbAuHQT1pr2lO1V8djXCWw7FFxNcXslZr9t4aOk1jVBA0BG13gef671gMLrg/U7PIzqoGX1zhLqCrYy/a5+RCea6Do4iZdXXcqaxQcxhKgZODGL7FNWgxMzw0jMPJsn/0/A3uhqjgyw+tqGT+O2nbEkE4AmXk3Zsvoz7vs5hNQBBBZddzaE+nfg94Leo+aBuExCd77Nvr1LiBh0KwZ9JDZ7dfNxXXMnoVRoqK4+jCMkDnN4GtKy29H1GEts2CQ2rDjCE5d2JT5Wzi3nGZGJAvU2PxHyao4ubS0wHcfz8Tnt9L7hPRDq8BVsoEabiT/neurLSyl69FpmzHyZMiTMWb1wR6dSUF1K6cZlZI67mpiuw6g5uAV9Si4BhZqjq1pSRrQR8dQX7sFg6IveGAPW1maCAY0Zc0Q2+ugU7JUtDvi5l96POiQieIzPh8/ddhIz4P17lpKRPE6k4g34t32IoDYiZI8K/vAn8XvxL38EYcYyBNWv1wb/b0Cy1+Jb8zyy8XORjm1F8nsQU/ohVR2EU0Rx4AxlFU9ub6o5zvbX7yJ16EV4ZM42x0hhaZTsWEv5jh/xuZrwuR0Igkhy/3Op3Psj7c6/mYaj+9FHJxHfdQghtkJCk/vQ0H0am7a+33wendaMz+ehtu4ojY3lNDaWU1SylamTXyUjfSA/rH0BuVzFtp2fAuAJ+Fi94kkmhaYzThXBN+5gipNeJueB2GwcNU7soo650R2wyfyYhweo2hlgQu9IflgfAojM/6p1St97K+w8cGkIU4cbUKtkfL7OwQ0v1nP/JSEU2v2M767g0MJdfP3ZAWY8fj63FNFcYjIhQkZEiIyhd1Ti9UFqjJy37wonJkxBaocI2veMJW9rS0WVS+/uR2xq2xKqp9I5VckDl5q4/52Wfl4+WkduWtvayGf57+N/29L3Z5BJGnL6xFNRZCEywUiD10MPdQjRW5wUDNAgmeXIFT66RaaxVpLYsv0jJox7jLyDKwDo2X0aMlGO1VZJStpIqqP2U1lVT+yQB5GvfTxoRqQ24Rv5BD5FBEZfDwL++W37IdNSkf0y/d+7BZ8ngGFkHscVD1ErO4ph3CQyBszBUerg25Gn1L2rcfD63PXc8dhoNhXdTa/5V2PJkwh4JVzmw5TKreSmXQyc2QDrdCK7KRj9qQl3o4Q6TESuOT3T+f9PptZA5r+RT/O/hkwZi//Q5ajVwYHYqItzePPhtVz9yGACkkR5nZ8ml0RcuIxqS6BZEKfHyRndU0NWooIFK20M7KRl3R4nMy8w8sLnVlZsdeHr2IjKvxdNk54Plrc1CNp6wEH9lkJsFhcyuYhcpuPg4nlkjL0Ki0eOqs8NyDa/FoxH0oWzJ+dpHDtN1Fr8PLQ6KCwFAd6+JZxFmZHMc/m4KiySLqbt1KpuI0Yf4BPD7ayoycUpBO8xg0yOSvJTWraLbl0mM6j/9RQWbSQ6qh09u13MsdJdAG0cMD3HNvNi7xuZVbiHfKeNSo+LL73lzGwMJ6ZTIttWth0AVldLcJpeFWRC0KDrNCxNEte+7iTcGM0jU1NY/fkBpt7WF5VaQbfByXQbnPz7ftiz/O0Ihk8HRbHd70V3qtGW3xPM3ZOdeRBkiFFSV+LC55OQy3/b81TQhUFYytkQ6t/Ixv0uXHIXon8fYyQ/n+//AoD1G+Zz+aXvs3f/Vxwv3096al9UKgMfL7oRrc5M/2ve5Ig7kuMXvk/P1U+SahjMBzst9O+vYspTdbg8wedBZrycV66QUbu27SqcGPDQuCWFlCGVNCaPYfPTM5r3ZYy9kvwlL2Ep2k8ZoDKFk3Ph7ez9ZC5KnZGUIReRNuIS6gp2Y68sptO0e6nYvQ5TfAYqYxh5S17EnNEVceBstCvvDU6+iDJ8g+/BIRoJj0xkwL3vUXd4B876asIyumBO79z8+RpzFFnjr2b/wpbCIqJChSmp3Z/0S/y5SAVr8L1zXvDfAFvfRTb6EfzftFSJkRpKwOuEv4so9jqRdRiP/5t7gx4dgH//MmSXfNjqOENMCsbEbKzHWtIBQpNzMMQkU523mZqDm/E6rGjHXkZg8N2I654Jjj01IbgHzca6flUwLP8E+pgUrOVHie86lKMbVqCNzkLTZQBi/XZESwkxhig6d7sEnTaU/CNriQhPJSG+C5u3fEBGestKvNNpoax8N/5AgPMmvsDnS25q8x2PHVlFr93nMnpEBmK6jmrJTbHfwayGPQQAmiBVpeORmE5c/WZwtfaei02EncGPUpLAH5DYX+QlwiQjI07OkeM+nG6Jm961EP9IOLn94vls3hZWPf0N824eRoVXS1SUmvaZesbeW4X3xAL40Qof977ZwOKHw4mKMfDogvPZubaYwv01dBmYSOf+Ccjlv7ziq1SKXDJYSU5SOMXVfuLCZXTPVBEZelZu/R34NaOtrwg+awQgVRCEVsuhkiRN+BP79h/D7fRx4c092LGmGFEUiVNomeALw58lUW/0YgxIBACnLppRw+9mzbqX+Pq7R+jT6zKSErpTWrYLrTaUyqp8uoT2Im3kdLZuVfLUR16mXf4+OnkTUTlZeMM9HFNPIDRsGOEde1C7b1tzH5SGUARdIsXVL+MTB9BtipFC9SQkgitcDcq3CRgbOVYdzfSHu/D6HS2rbwe2ltEk1aEOkfPZ2unUN5wwUTpRmz2rSzeg+2++HgqDiOKsdv2PI2rTIPVJUoXddOkficftQ5LA4/KRMziVpYd9hJtkpMXKySsO3icT+2mJC5fx8hc2RnVXM6SLlu+2OokPl9MxVcmwrmo8vgBWdwwFO95n6pRR3D7ZQJ1VYn+xhy9+cuD1QYRJpMukdljrXSx8s5xpFzWSOf4aavO3IlOoUPUdhz77PLYddGBMSGPsE0ruuFDBJ6tbBo2SBHe952Tp9WZGLC2k2xNWSlW3Nu+vVN3B+Ii3eL40kQiFinHqCNzOPEYOu4O161/F63WRmTGIdpnDsNvr8HiaGDPqfvYe+LrVddKqjcgc1Szu0Jf1lmpMCiVujYmExFCwB8hOkJNf2joMLDlKjsIn4D0RENNdH0q94OLq8SH8tL9FRIsitE9U8N5yO8eq/TzyKczsZsRhd6PVn13B+1/B3uhCrVEgSRI2vw+t7JSVYrcdlHqEn9G7Ro0Ma6ic0mIHKem/faAuJvfFv2vh2RDqX8Ha5OeLzY0MSlvE9989RId2owkPS+GYowGlSofFUkZtbRHDB9/K8pVzqazOJ8yczEWTnuOoaSpJrs+Y36jDOfxBRn94ARdc9jX3ftHULIgBDpf5OGwJo0PfSZT/tLB5u0ypxq5JJba9iKK+AIdaTubYq5CrdQgyOXK1DkvR/ubj3Y211Bftp9eNLxDdZTBKrZHSzd+w6YUbAFBoDIRldUMXncSe9x8FYP9nz9F52n24R7+IzFGDzBRLba0Fs1KL3+vGEJ2MITr5jNdGEARShkxBoTVR+MNH6KOSyJ5wHSFJ7f+EX+LPRfK58a9tXUYLvxepthBOWUmX9Z6BoP/7pGYJxmgCNUeaBfFJAts+RMg5H1EeHLarTeH0nfkyhT98QuWedUTnDiZt2MWojGG4GoJi11KSh8NqocqYQ8iFC4J56qZ4Nrz9GFnjr8YQm0pt/jZCErPRmKNpOLKdsLBE3l7YGZ1Bhbq9krHh2QxY+Sjs/ISQKe8SndKX+oYyKioPcKx0F4P7X89Xy1vXOBYFGat+nIdWbSTcnELZ8T2t9kdExVNQYSdSVPCutYIcnYnPKo5yalD1UXcTNtGDIATHDvOWWHl9lpm4cBlhRhGfH/JKvAzoqKRfBxW7Cz18vs7Juf21/GuxFfmJR3JRlZ9BHZO5duEMLBVWjm8/iszjZPzsgXyd72kWxCfZnOemoj5AlBniUkPb1Er+NSqPNfLc9d+weXkhAAnpZjovuRCiIn7Xef5XEATBD+wDFARrEn8AvCBJUtsY+7+AX5u6ePZn/v2PRpQL7FxbTEKGmZBUPV4lDDJFslxexUURCdT5PMws3MVCrURqcm/8Pg+iTE5FZR5Lv7qHYYNuxWavIT2pD15jJK7QWNR6C3a7xGsv1nDpnT3ZtLievretI4CbOvW3JF5+N/pV8VRt2YwhIQd/9LlUWwMM7Xs/Mwdu4PVLM5oF8UkalUvI7PgJR2zFrbZ37JWIV6rBoI9oEcSntrOXt9l2lr8HomkAYdlJPPi2ncMHgtvUWgUepY5os5z3V9i5boKBshofm/Lc5KYpeeQDC9FmGelxCm5/rSVHxukJML6PlsU/OpDLlIwfsZY9xwTeX2Fj2yEPnVMVzL3GzJtfW+mUKFJy1E33IclEJZkIz83FVZ/0pmcAACAASURBVL4DbWQiprg0bIQyZG40BeUS3bOUzJ6mO+Mqa21jgK3b3TitfqzKtj59VuUCLjK9zITjRo5rQTKnsm7xzWRlDkWvC8fptOB0NuBwWIiL64xeH87adS81tw8zpyCIMrRV+1mNFmvAx6r6am49aObeaz5CFAVue/1ibvtMwO4M9m/6BDUb9MUsCO9Jk+in2O2gwuPi4kNbuTOqHR/cm8D7K5rQawQGdFTz2rKWfNDthz2ETIlFqf771yE8y2/HZnGh1ilwSQFEARTCKasHbhucoX7nSYyigBijpLjg94niYAj1tUheF4Lit0X6/C9idUhMHlrDwreCLrkHD63k3PFPUFGRhyjIUCkNWG0VfLbkNrp1mUzHnPHExXREHlGCDytu4QjTrT1oMslpuOB1wpUhFFa29TQorhGISJ1BsimS6i1L0EanEzH8Jm5bHM6CKUXgjUetCmffhi9xN9YiiDKyJlxHeFZ3ag9tbz6PpWg/kt9LSHIHpECg1Squ12mjcvdaItr1QpDJkfw+miqLKVqzkNRhU6ivs+CzlCKKAmsfmkzWhGvJHHslSv3Pm7hpQiPJGH0ZyYMuQJQrkCn+ppN5khRc+TwdtQFCEsBtQ+x3A0L3S/76vv0bCDIFyNtGmUh+L0XrFhLVcQD6E1UPjHEZ5F56P97Js1Codc2GYidX/sMyu+FzO9n6xr1Ifh8aczRdZzxB7mUPU7DiPSLa9SJ99BXUF+5EY9CRmBGN79hKRKE7O9eVcFlDJy4JeHhj6ie0r81HqD5MfuZYVH1uINfvxKcyYD3wFR5Py+R3YkJX6upLkKQATmcjSYndOVywDoczOPYwm5OISx1K7JCXqDjq4erQS2hURvGup20EV5XPSe8cI5v2eXG6JRRygVdvNbPjsIfSWh+PXRnC1oNuLni4BpkIM8YaSI2Rc9/UEBasChq5hplkjL2/jsp6P6Cif04ud48O8MKsFQy8d2Kbz+yQrCDCdGaT2N/CzrXFzYIYoLSgnqXztzPzhVHIZGfzis+AU5KkXABBECIJlnwyAg/9Yqs/iV8z2lonCEIukA4ckCTp4F/Trf8s1aVWvB4/SeMSqT7o4kCRi2SzjF4JUVx9ZAd3J2RzXUw6NRVb2fvTawwddDNHizcRGZFBQlwua358mVEj76XYnM0V9Q2c53MxsX87LszsjFYJseoySg/XIclaaqgdi5yLdkomWePP4/tnOlK81c4188L47PlqJt6UhlxoU98aBSG4nU5MkTpkJ0I9oxNNXHbtUDTyCmyNNZhDE9sI45AzGIOdit8foGBvFSX5dehNKjJzowmPPbtU/N+CTJ1IdDoYotxcPrs/Kxce4ObB6ewrDjBtuI75X9m45XwD152jZ29RcCLlvP5a3lvR4vYdHyEjNkzONc8FTaRWbANRNLBkvYPS6uAAcM9RL49/ZGHxA2FseWcd7fqnolDV0W5gCpvrtCzbFsaozj7aR6rod6cDry8oMrcf8hDwBXhmhgG5DHx+SI6Wc/4ALQkRIjH1DQy6czAiO9t8N9GbxP7GRuI7q7mvYB8DAnpuG3o7lvpiPG47oSEJ7Nn/Dd1yJ+HxNLF95w8MH3IbXq8DBAGXy8qqtS+QO2gW+ngFkaKaxEqB165djtcT/F6L7ljMo7MGE90rDb8G7CoX33ntzCs4xMKs3jxS0hJ18YzlIJ91NvLNoFg25rkYelt1q/5GhcqIjlD+akjVWf5Z2OpdmMI0WH0+dOJpr1GXFX7GZAvAgIA3QkHx0TMY1P0CwRDqNKRDKxBy2g7mzhLEbIK9DQ14fcH3ayDgZ+Xq5xk+ZBY6YwwyTSidciYgkylwOhtRq/SIcolSzeMAyCU9c/ovIjrRRNo74/GFhPDEVUrufqOBilNMekL1ItNfUbHwweuoNVxIZKSe6z9x0zszgNqZjyc8lb1vPY67MWgKJAX85H/xCjkX3dlKFEfm9EOu0uB12EAQEORth2UypYqMMVdy+Js3URnMJPWfSHh2byp2rqVs67d4TlQOyFs8j4h2PYnq2P9Xr5NC03ZM8XdCUKiRDZqFr2hDy0ZRhtjxPGSDb0fyexCMsf9VztO/FbHzZAIb57cS/U1pY9n51gMk9p9It2ueQn5iMkMQRZSnpaGZUzvS4/pncTfWsvfjp5q3O+sr2b/wWTpPu4+kfufisVtwWY6TMewc5PJKlE4zOL3cEZ/IPTMcrL13Mw+91I857ioc+nZMj0xEL4is9PhZWFMFVPFl+hAuDk+h7PhudNpQ7E11/LTpLXp2m8aB/BXU1RczqN91iKIMrTGGjYYULq6s546YTuz/4Uny879n6NT3mRaZwovlBc19FQCFKDBksMimfdA+SUFsuIz5y+wcLvMyJFeNXARRlHjrjjAcrmA6iiAF+HS1nRpLgCevMqHXCGQlKE6IYvhpv5vz+pk4sLmMc1wNXDVWz9vfBsdGJp3IM9eFEhfx/w91zt9R0Wbb9tXFuJq86Ix/0wmoE/zgCZkKPAkkAseA+4YrLX9Y3WJJkqoFQbgG2CYIwsOSJP3lXla/Fj79IHAJsAN4WhCEOZIkvflXdEwQhNHAPEAGvCVJ0lO/0uQPw+v2M+D2XGoq1Vz7joeKOh9qpZ/X3xAIAPFKFfU+D42GOEqP72TD5rfJzBjCkYIfUasNXHzhm1QrUymuFRimUXOBO4ubn22kqCK4wnTxsDBumR6D0uIF87uc9DBzCIdxWePRGIz0GxtDtTvAhY9bqVbOQXQ/hNrXA5e8JcQ6yvUIK9a8jmHwfUxc0R6hyU9tpIgxpgnD/iTilEOIHZjDd98/iUYTgt/vYWCvm4iJ/uX8oe2rirj9nE/x+4IP5C6DEnn4w/OIjGud0NHg81Dv9RAmVxKiOGsi8FejM6i49K6+DBifiUwR4JIhBq6dV8/gzhr2F3nJSVEQFSqxdL0jmANxSjjnBQN1vP1dawdcnVpsFsQnqbcGcPmgukMvPl7lontWGFqnlosfD4ZnfbIW2id5mXe9gbvftmNzSGTFy5g5xMerl33E23Mm8WOBiFYt8tY3Ns7tr6XjyGymPl/HEzeNJ6TT+/gJmnrJ0KG3Tka5yUr8+Vpsfh/f2izkhMST3VSPpXQnkihj6JDb+GnD6xiNUdTXH0NmiuenH1ob3shjOvNKeQHPp3amvL4Rj7vle1lqHTRWWVm/zsnSn4Kz04O7J3DL5BB+tNSQoNJQ6m4xJ7H4fMjlIilRCqYM0fHpmuCsuEyEZ64NJbfd33tweZbfj63RRVSiEdvp+cSA5LbDL6zkGkQBR4ScoiNncIX9FcTU/vh3fYZ4VhT/LMf9Tj5z+eiQ1Iuyki0A2OzVrFn/Cj2mL2J2XR1vJvejcOcCfF43yUm9kJJW4KMBpS+bTTuzmbNlOC67m+8KAsxZZEWvEbn9QiNrdrnYU+jhhokGftzr4u07w6ioD1DWaOCxz5tQyOH8AXqOHyxHF9BhLTvcpn8ypap51Te2+0gSeo9h17uPcOir+ahM4XS97EFcVUc4uGIhLks1okyB3+tBplAx6pnvUeiMaM3RNNUep3jdojYlmJpqytp85j8VIWMo8quW4d80HzQhwVDpxB4Ioow/zv3kr0dI6on8+pX4NrxOwGXDkTycXau/Qwr4Obb+C9qddxPG2LSfbS9Xa0kZPJnidZ+32ddYchCf101DcR6V+35k8B1z8XsFHFIycvud0LiGrPA5vPFEPRWeFAylG5msOYolpQ+Tao7xQFJ7FtWUNp/v8po63k/oTJIpjsK8b6go30ufsU8SrTezdccCAL5fHQw07T7tIx6uD07EO6Nyms9RumMBI857EUfAz9La40QoVVwRlcyHlcWM9nekX46KOy8yMe3xGo7XBselOw57SI8143DBJU/WIkkQGSLy1p3hPHdDCLWNMPvtBiob/Nw/zcSMcXryS7x8vdnJoTI/8RlhfPLwSp78+lImD9JRb/OTEa+gS/q/J1w79Y1n0cvbWm0bMCGzua7935UTgvhN4OSMbxLw5g+eEP5gYXxUEAQZEAlU/VHn/a382nTIRUCuJEkOQRDCgOUEL8qfyokL8gowAigjOGuwTJKkvF9u+ceQ0iGCSpmamS9bm2eGXR6JwuMBJobFohcE9DI5zzi8zJ3yLodWz2X1uhfpM/AWsjNGMefjcD76wU4gAE/MSKdcXsftI+x8ut3AT3kSn6xyMLSbimEJMYQ7P6ZK/RZ+wYHq+DTWzNfz3TtbaaxzMv9IJ44prwOgWHUlie53wHcdXqEWlTeVmkIb+kF3cFtDPU55DZgAN+Q2Ghll+ZGypy4gc2Y9U85L5OCRFWiVYaQm9Ub5M66oAI11Dv41a0WzIAbYte4Yh3ZWtBLFW6x13FKwi91NjXTXh/Jiehe6GX5f7sVZ/n20ehXte8Zx7Egd/i0FvHx5FNVOkVCjjCMrdtP7vFySo+UsXe/g8lF6nlkYFKACweizUxEFmld2TzKul4bnP7exckdw1UWpEKioa11fOq/Ey+5iJatm2/B6JKJD7ITrfQz8pAfrmurpoo7mpmcamTMjlMp6L+8tt3O4zMeMx2J44fYlpKQcICJEwFuVzjPTD3L+dd1Z/9wh+k8M5SdXA09bLIRp0rlz9GjmN1Rzefk+jpVup1POBJwuC9UJfRk0/B62b3wDtSaE9kPu5AWvAgkvhxw2VGFyVBo5bqfvxDVTIqWlsfSLlnCttdu9dOxgInaAhDvQcu+LQEiVn1Xr8+jUN56nrgnhoiFaaiwBMhMU9Mj6e7/ozvL/w97gQqNTnnCePu016rb/cvi0IGCNVFC8zfq7P1dI6U9g4QwkjwPhF57j/+t8bm2gz5B7ydz5ASWHviciOofBo+7ngppaqnxuXvdpGSnI0OrCaFJo0LgvR14zlC272zH7NQ0PXOJnwSoX/TuqOaevlqXrHTzwjoW37gzj4qE6qhr8ZMQpOFDiITpURu/2KpJj5GzL9+A5tg1FaAIqvQlDXDq24wWt+qYOjaTH9c/iddrwu13sePtBbMePAMEc482v3Maw6Tcy9PwLaVBEozdHcmjNEo5tXk5ocgfie48BQKkLISyzKzV5m1udXxP2v1P/XFDpENqNQmw36j/dlT8UQaZASO1Po0fFng8eo2HV85xMsZQp1YhnCK8+E9qIFrdqY1w6qT0HI8mU+Fx2/B4HXS57iG3vvkhjSR5xvUaT3vcKNKwmwErCY3Mxr7kHPA6aelzGElFPnqORQkfr9//AkAjuq65gv8NKRvxwXho4i2mHdjBVqaHroJnkb3sfrdZM/5H3c49HASfSAAOnTFuIMgX7m6wUOGxMjoinzufhoZID3BCRQYpayz6di6Pl3mZBfBKNSmTekpbJ/WpLgIfetfD6rFAm3F9FIACPXRHC0p8c7DzSiFwGV44xMKqbiufvq2LaXf2INCsYbv7j0p9yByYx4apclr29G4DO/RMZf3kuws+ZTPx9eJIWQXwS7Yntf5go/k/za6LYLUmSA0CSpDpBEP6qOJSeQIEkSUcBBEH4FJgI/CWi2O8NYGkMUFjeetXMVarGECHni/pKhodG45QkLrf5OG/YoySJAkX6CBTHjXzwvR2FHMZ0V3J1u73ovr0RoaGYCztNYnm/WUx/M4SCMj/dc8zkXzuZsPbd6D5qCgfyNHz6zD4AwmP0uDWbWn3+MdWVaMnEZvuIAcokmswN3Fe9FedphgwKSUJ3+HH63D2Q47pCPvt4avO+n7a/xi3XfUd83JmLxzubvJSdVpsNoLG+JdS7xNXE+XkbqfUGH27b7Q1ckLeRDblDiFOdHaj9J/C6/bxy72om39iT+bNXc9k9/djx1SE2LNzDOx9fwpFqgZioAO1TFSxeFyDE2MTtk408/H5j8zl+2OnkzotMzPm4ZdukQVqueLqlTq/XFxTGp1Pv9uGSSmkfqYa8ZSi2f0CkIYYRIx/kgyIdfdqr+Gmfi8G5apZtCr7EGpsCXPloOKI4iBvO0VP3zhIGn5fN09d/i8ftY3rWKEKzFXzvriVOpibLoeFVtwOPOY0mRz3m0ES27viYjn4Xx9pfgDK+H+V+P/NsVux+B3fFZ/Fh9TGQS8x+cwQfX7cKh91DRuco9lQrgNY5TNu3wbPDwjgsNrJEVkWsXM2Nnlg+mrqcsvx6hk5qxz3zx3NO37+Hi+lZ/jzsVjcanYIav7e1yRYgua0IvyCKtYKAPVxGeZkTSZJ+12BJ0IYiRGYiHfoeoeO5/+/+/5NJVum4MiKVW6oL6dXuYgZ1uYwjiHgUYVT5gukPY2Q+duxdwvjRD1EsqMhbmczzb0c3TxRuynPRr4OK95bbefSKEL7c4CAQgI373Xy7xdkcinn/JSbCjTJeXmqlW6YKwW3B+dPL7CrZy6C73qDr9Nlsevk2PLYGBEEkbeSlFK78CFtVCdmX3YMCU7MgPokmNApfeDYG0U7Ummegcj+d04aScNmdlO9d3yyKRbmc9JHTsR4vaA7RTup/Hoao5L/mQp/lT0cXmUAgEOBUz6EOF92OLiL+N7UPSWpH1oTrUPhsJCtqke9+FrSheCPuwjDgXH6cOwOvIzg5V7D8fexVg+k55gJk1sVIhsOI027Cpx7CJ/Jw7i8OZk9+WV/OpIh4PjsRkSAKQrNB1hGnnfuKDzIxLJaXqopJjujFBZMGYxcVrNaEsLvsEACRChWGhmDerSAIRHS5mFtLD/NSZC82W+uRqXz8K74bxhoDb61zkhqrQKdpKz+qLW1z/XcVeGhyBcsudc1QsqvAw84jwbGqzw9vfG1jUEcliVnhjJqa06b9v0t4jIGZ/xrFBTf0wOcNEJ8eijH0598HfyMSf+f2/xeCIKQCfqD61479M/g1UXyq47QApJ3qQP0nuk/HAaWn/F0G9Dr1gBNx59cAJCb+ob8JjfUOQiM0xIbJWhX6fukdD0s6hLNd24jTbePVtFxWWGo46rQzICSayColi9cruWyAnVldd5JeuxR5QQRCj0vxr3oKff6njM1wMaLzXNrFy0it2Ercfa+z5b2nEYu2kWBqcYBsNzIJrVFJ42l9UxBPO10EWrWKzoZoHtF04NbC3c37YxVKOtblg62KcJ5mcUlxq/Zut52Coz/9rCgOi9Zx/nXdMOodhITA3h1OVi0uIjmrpV5NkaupWRCfpMLjotjlOCuKT/Bn3p9nwhCqxucJsOGbw9wwZxg71hQx8equhEXrcBaW0DtZhj65kILQa7hvYEc8Uh0y67nEhM9k4Ro3qdFy0uMUrN7l4JVbzQQCEBMmoldIze6PAHsKPVw6QsfXmxz4T7wJZSL0GiBRE52IsmgF8o2vIQ6+Dfw+Qnd+xM3pVXQ6ZxQXvaRCLpfon6OiqKLF8jEQgOx4OZ8crkOUCbhdwX0fzVjJ3K8vYtQxBQUby3nluyVcsWQoTzvLeWzKuxzc9j7njHkYW+VeDNowTOYEKqx19ETGpPB44pUaYpRqFAEBvc3Jo6un0FjtIFStZP1xBV9ubC2K++cqcW2rYboyjBuzU/n8mc18+sHXzSvMqz8/yJRZvenY+7cNSP6b+avvz38adosLrUGJze9Ac1qNYsllQzD+/GqdKIBOL0eUC1jqvYSGtaz6OCx17FuxEKe1gfQ+I4jP6dmmvZDSLxhC/Q8Vxf/uvel0Sgx3J2HS6dgsq8ASCOGCmEherSxgdEgk040G/Ps+5/yJz+AOTaVaEc/ir72tImf6tFfzwcrgitixah9hRpEaS4CIEBmNTcEHn1op0LOdkrvnWyir9XHdaAG57WOsxbtR6kNwuz147A0Mvnku9kYrjVVlKCQ3KX36olL1o9JZTLWkQKkz4WkKvulju49EH5WI83g+IVseA08w71xW8APhzgaUQx9v7qO9qoRtJ2rRBt2tZVQf2ISjvhJ9dNL/69oDSM5GpKPr8e/6FCE0CbHzJMT4Lv/v8/3T+CufnVpzNH1nvUpt/jbsVcWEZXYjLKNrq4m0QM0RpANfESjejNhhPELmcERTLABKnZGsc65B/OlFWH2ivrC1AsXXs5BdtoSM0ZdTV7iHpKz2hKolkPwI2v4Iim4IPid+sR3OiiKi0lMYbIpgbWMN22wNjDPH8ERyDqstVaTY5QwLTeImR3BBZ2eThc76EF5I7siX9RV4BIERWi15Pi89DKF01WqZKIRSsW0t3btfRnT78WwhnltdoVx9uxOZqGX+lUakuno+fGQp1zx/LlvKArhdMrLi5Rwqaxk7xEe0NcTqmqFsdp7ulqlk6U9tvRsOlvr41/fTCIv8c1KfNFolmbnRf8q5/4McIxgyfabtfwiCIEQArwMv/yfyieHXRfHpiUv/NQ7UkiS9AbwB0L179z/04tVXNhGql/OvG81c8XQjTa6gMLhlnIqF163kkkf6cjRJZENTDVNDw4iPSOP8O23kl/l44ko5k8RlRK2bDRCcQdNHIA64mcDqp9F5KnltuhVbUwWlBw8Sp3Ux5Kq7ET+Zhnbsy0Admb1jcV4Xzxa7idSQaHxCJQACSlJktxOubAlTnhKRQKJKyze1paR77Yy0lZC8/P7gzvBUPBUH2nw/j6dtMfeTiIKfCec62ffBw3iONNI3pQuXbXiA+E4t/8FD5Mpg+O0p7WQImGRnHXhP8mfen2ciMs7I5fcP4F8zV3Bgy3Ha9Yhl7eKDdBuawjuP/UhUgpFb57UjZNhIGpTfBBsZ5zGwZzLRIZN47CMbb31rZ0Q3NZ3jHYjHj3Bsr5pN++u4dEQ3Pvi+Jf9xY56Tdx438sMWN4IAOd0CvCrsYZEsGcWR1QjnzkPa8jZSebAMg5C/gr4527h21BM8u9TFoocj2H7Iw8FjXgAmD9LSIcHP3R+cD6eE7U+Y0YWju6p4597VzdsqX8jn6pva8aHWxogRD+FTqvjCaqPSZuPOkFhWNVQTpVDh9gf4qbGe7u4olHsraChv4nCmjx/C7HzurWJ5znC6ZynZfig4udMhWcH4bmr6dc4G4MDW46ya37qMBIDb6f1jf7j/EH/1/flPw97oPhE+3dhGFOO2ISh/Pt8PgiHUxigVZSXOZlHsbrKyZv6jRKZ1IDIthz3fLMBlt5Lee3irtkJKPwKfzkDyOn9xRfrvyr97bx6r9rN5jw+1JgTvBj3fVPn4wOrmyzmd0Sd5sR+zY8uZympPE7oaObkqE7FhEsUnHKYHdVaRFC1rnriLMctosAVIj5XTPVPJxH5adGqBMT01XP9CHWqlwMI7ZHg+Ox9rTRm6yATSRlzCzncewG2tw5iQRe60e/DsX0+qlI9s6zoA4gHT8PvQTZ1F/luPIsjkhKbkcGDR8wyddk2zID6JcHwHMnsVlmP5hCRmI/n9IAXwW6vApaTi8F6yxl1DY2k+dYd3ENmhD6FpnRBPvz9/hcCBZfg/DdZWloDAxvnIb1qLGPPHr6r9Hfmrn536qET0UWcW34HGcnwfTIGKYJkv//4vEXtdhXDu8/gRsB47hL+xAtOOj0BtDJZzE+UE8r7Fd2QtR5Yvp/8Vd2FadQ80BaMN2KBBGPs4/i9ngz4S77kfIPe6Mcjk3J8Y9KPZZmtgi7WObyNzkNdWUl3dyPOhmXyntRClUXNeRAjh4tP0rpxO2R4/HlkDfbMTaJccRqLnOPf2Xo5SnUJMoolx93fjw7cdFJYHJ6mvGSaSHA1HayQmXNmFml1FdNAp2PRSATeN70zTqCR2F/nIildQZ/cza7KReYutJybyZcyZEULx9mIGdQ7hSJmPzmlKVu10tbpuqTHyP00Q/4O5j9Y5xQCOE9v/HTSCIOympSTTh8Dzv9zkz+NX3af/qo6cxnEg4ZS/409s+0uITzPz45eHWPHJfh69aSAerYHsbCNRhgB33VVGwZpSvnx7FxfeM5iaCA/ueB/3XGykvC7AxJx6oj6a0/qE9hoEuQrZ+DkECn8kdvFo/PE9sCSO5FBBPjnGPXizR2MzhfHouwPxd4zgPPtBFEdEnkl/hXb6Y8gEN4mK7oSJ3VqdOkShZGxYDGOM5uDL7Ju7wedGSOqDlDKebIuZyqp7m48XRRnx0b1/9rtbSvLZ8drM5r8bi3ZxbPlzJHR8k5O3S5ZGzz0J2cwpbSka/1BSezK1Zx8y/0lGT8shItbAdx/uJTYlhB5DU3j8qmBgR1WplfvO38LLP80iJ3cyDs9RxMYQAqUqovPn8twFExDDMjC7DuIt2IwUPYLG2gY2Lj7AjYv70jVTyZY8Nx1TlCRHy6mLqmJjr8NIwAK3g2mhUURUFiLE5SK4GgmUtxaUyv0LuXX6zbyzKoppj9fw3A1mQvUiIXoBwe/HIcrY44okxegls0cch7cdJzRCx/GjFroNSWLHmhIAtn1+hN3LjvLiykvwKeQUSG6GhmpIVGv5praSDK0eTyDAB9XFVHpcjHBpefS672iyBl+4XSekcc/sbL59ZiU3DMxGPjYGvwTyulp2f5JHv84jAIhPCyW7W0wrJ8mYJBNJmWGc5X8bSZJosrrR6JVY63xnEMV2kP+yWDUIAuoIBaUlTjp2NQGw88v3CU/OIqnrAAB05gh2f/0h4YkZhMS2TNALmlCEiEyk/O8ROp413DodjUrA64F+qVbCU5zYE+Wo3U389Mo+6q+Mov0WLyte3oU5SsehnRUscfp44rvLqRmtR2dUU1Dh58oTKSPDu6jomirjzds0pEXBqp31ZMcq6NdRJMKzhzcnHkesz4cVO0kfOZ29H88hedBk9n3yNNKJtCZr6SF2L5hDn4kXI/tyfqu+Gta/iGvI3cRMv4m0yBwK1ywCwCecIWdUqaW+rJCDC+bR+5FnkSLrGHfrPQg/PAeNDtqNuZaS+lKs9bVow+NZ9/g0+t/9DpHtf/59fzqSvRb/94+33ui2IZVuh7Oi+L8OqepgsyA+SWDrOwj9rqeqooqSH5cQ27k/puxRyELi8e9YAH4vYp8ZyCM6IFOtQ121q0UQA3idBIo2IsR1wRuWnGaZ7AAAIABJREFUza4Pn0Bz3k18I/n5qj74PlQKIh/rTJS9eAVNlUUoNAa6j7iLqm+0jLuxK94oAz7ZdJQ5+XTKjaGwKZLRB/KYac/g4Tob9zzTn7kXf0uXgYl8cPMirpvUFV9XE2q87F6yk+rU7uxYfoi1i4Mh21q9kmseG8zejQV0mmzmkFKDSgm7DnkY3FHOt09GUG/xEWsKcHj5Dr58YyePLJzGcacag0Zk71EPNZbghPuYnmp6tvt7u0D/JxiutHz8gycE/mD3aUmS/v/1r/4EfpPvuCAIGcAcoD3QbKspSVLqn9SvbUCGIAgpBMXwFGDqLzf54wgg8em/gq6Vnz7wHQCGEDW3fnIpj38xlaqCGuoq7Lx269dkdY0mNFJH4d5qeo1MpdCiIu4MtfMktYnAhleh7igAssPLMdccoj72PFwKM4eS+kCjnKZ1t6Du9CIBwC0FuOWIBTAiAt/mJJIQeub8M0GhQpY7GSGxB7ibEELiObLNwoZP1Qy9+FkKKxaiUoaSEjEFqennQ37slUVttlXv34CroRpFTAoAGpmcWfEZDAuJpNTtJEmtpZPOhPJ3zkif5Y/FZNYy9IJ2DL2gHUV5NXz13m6umD2ArT8cpbHWwcSru5IYrmL99bPxu53Ng7bsidejrt/Isa/vpfSEKUzWVb3Yta6YqQ8O5dbXrNTZfPTJVvOvxVaqLQHm3mVgRrtU7H4fPVVqugg2zPvXEVjzDOKI2Wfsn7/kRz4+10y9sTc+t4Ut721n85cHSMuNof+toyip0/DcIhfvPz6e4r0VJETLKNhbyZSZvbHUOincV41Gp+DCW3qxY00RphgdXrePeX3sjDfH8GbVUZwBP74TUTfj1JEseGhdsyAG2LmskGsvzmZrtYPXbljaqn+jp3VsuZZhWh56/1w+e2kLG78toMugJKbd3oeI0xzYz/K/h8vhRSYXUShlWH0eQk43vfE0wa+YYOlFAdEsp7w0uIJRX3aU2uJDdJ90TfMxGmMoKd0GsmvZ+wy+9oFWIZNCcm/8e5cgnhXFbUiNkTMuR8n7t6wlf3t5q33Th41hf1cZ6X1iWPdRMIpq6KR2bFm8h2Vv7UKllnPnginMneglPtHArkXbce+PZmgPNxEfj6S7LhwUWhpS72fdK62fcwqtni5XPIJcrW5+tp7EWnoYlfIMQtdtR/C7WbJ+HjdfsghjdBLlwLHD+RgzxyA//F3Lob1v4dD33+Gsq6CubBPRWhnCJy0T3sLy+4kafD/7N36FTKEiY8wVHPpqPmGZ3ZDJf2sUlwSBtnmabVwZz/Lfwc/8LlJNAfqKA8QmJYFKCcn98C+8snl/YNVcxAteQ2U0I3OcIXWzoQTP+LnYHR4Ce+aQpqthbUoC3zaqmVdm4VJdCPIFT+GoC/7/8jptlHz1INNnfcL2RBkHLdVk/x975x0eRbn98c9s38229N57CIHQexUQ7KA0FVQQFbmWq1672Ou1XOtFEUUQGwo2LPTeayAQEhKSkN6Tzfad+f2xMSEGFa9yvT/dz/PwCO/MvO874+zMnPec8z3aSJLlqdxTnc+KOu+itoBAvt3GkzF1zPzyAhKsag5tK+XjR77rNLxnds92gxjAanHyzXuHmHprf3ILm3jnO5HeSQou1x3j3acP0FzfEf14/8ILmfb3/sQHyxiS6HXUfP9sKEdLXPhpZGQlKIkO8UU1/ie0GcB/GlGtM3G2xbjewVtI+UVgJHAtXmHWc4IkSW5BEOYB3+EtybRIkqSuccDniKaarjkILY12dIKLtZ8eI9hfQUiUkepTzRQfq2PAuCR2fHuCoAgD/372MFnz52I+cFqkudYMocntBvEPCA1FBHQ3g38MlQXHWb+wmNnz5iPIBFK1evJsHSp/IUoNSWdRV1AWENf+9+hEgfy9Lez53kr2iBlYW1ysLy9nwSbzTx6vMQV1adMFR6H8UR08k0LFUHPwL87Hxx+DrdXJB897VUln3NmDPn2U2CpX0ngiAbets3pk6Y5VxI+4opNKqtpdSHS8CtHlQaeG4ipYvc+OTAZKBdS3iLxcnEuAQsmcdBMOViPb9bH34JYqCE6Fmrz2/sSkMZQcOUDDwa2o+j/Pi3d0rG6fOFBB3PpDZF40mIUWkac+9xBoCqO7RsQU5seRHadIzAxh2MWpuF0evv/gME67m5FfjqY3QdxT0owjz8FD0XE8JS+hvq1ESbakZ8OBror+rRVWBs7qxv51xZ3ax/5IdCMuPYi/vzyeOY/a0Js0KJS+RR8f3neBX1t5jWaPmwjVaV5hjxs8LpD/vDqsAQFPgIKyEq9RnLfpa6K69+tivIQmZ1GWu4/K44cIT+3R3i7EDUJcPhfJ40Lwpa10QhAERIeTgoOVXbaZKzz0Nuk4+fdEXpjbn9JdZaz56Ajrlns/wB12N2ve3E5jrZWgy9LI21pEVISWY7QQjOB9tgHWM5Q9UsohuF8EtZUFXbap9GZEcywypRZcHR/w7vjB5FYcZdK4x7AcyyGkxwiKNq3g5K41KIZMIHXiW7jrirHL/Di6Y2N7uSWlxoT62M4u4+jyvyIsoy+n9q5HJldgb6prM3LP7h4R9MHIR9+D59ObT5u8DiG6908f5OMPQwhNh6BEqD3R0ZZxIdK219Ge2IRWH0zz7I/xrHmFLm+vfe+j0YdgD+2FPueTTps8Padhl+qwNNtIuHc4pcb7kHBxni6K6UELCCkTkA0biMzTB4syiD1ff4CtrpImRwUzC7yGcohCzUtJPUjVGaBNq/P18gIejs1gfUM1byhquEoXyVX3D+OJqzsWqP2DdVgtnTVrAE4crqYwtwYxxuuLG5os8d3j+zotegPUVrTSXG9l8TNbufOV8ajUCronqOme4PMO+/hlztYo1kqStFYQBEGSpGLgYUEQ9gIPnauJSZK0Clh1rvr/OfxD/ZArZJ3KEoXFmTAEaDmyoYCKk41c/Y/BOB1uGmutZPSL4NKbutNYa8XlFFmyIZVJ5z1HeN3ntGpTEPtcgqQ7gukMY+lC47AqQ1n2QB5OexM2WQa1u+p5d2Ifnqk8zprGagYaAngsPpNoza8TsQqONPLc51NY8OB6DmwqodeIWO58+UICww0/eYw5NoOYoZdRstn7kJLJlfSZ/eQZjWUf/7s0ti3sxKcH0C0mh6LlbwIQEHZrl301hgBa6zprJYj2JvqmV9CIH38bF8lt77p57coGBhpz0EitqJOz+LJFzZIAPxplC/DInEiGQIT6IsSdi5Cddw9YapAqjiCmjKW42sap9YvR+IdwoqBrXu7RzYV0n+wN8ztU5OT6CwwEBEj4z0kiYJ+Nd5/a2mn/XmPi0LlkLPzb95zY6/1Q1fopeWnlxcxUHiVb50+mOhLnBcms+ajzelrvzAiSe4USulTN4qe2oFDKuPb+ofQc2jWCQqGQYQ7yqU376MDSaEfbZhS3uH+kPu1oAaWOXxKUNsgEavzlVORYsLc0UlVwmH6Tb+yynyCTEd1jAEfXrexsFOuDwRSBVLgFIXnk73JefyZEhZLsMUnsXtW5TrCz1cW/x6/k8gcG8tkUD2Enmzm0rbOBG5XkT78xCQgyOP+q7ix9bhtTZycwNCQEmr0f/GpV508nQ2QiPUYMIk/9EmKkitjxF1P8jTd1RRBkZM98iJq6RvTnPYP+4CKE2uNIaRNo7T6FYRozRnUA8mQ1+pAYRj36KY3FuUiiiJiQSX5uHoWrF7aPZUpIxRVajFhh7mLoeHTBOCttmOO6IVdrSRl/LXLVT9fMPhOyHhNBa0bcuRDBPw7ZgFnIIs4szOnjj0VmjkR57ad49n2EdGIjQuJQsDcjbv3Su4OlBtFQg9AmvNUJcxSO4iqOH8oh+5KXEDY8By47zuwZ2P0isRQXIkaoKDW+2H6Ig1M0Ku8nJjcZ+Zb3AFDLlQya+E/WLnyaIrW2PRe+2u2g3Gmjp5+ZMeYQVjdW0+B2sbzqFE/oUpBJblo9Eo4sD099NZX964vRhWqJ7x2DqqmrY6r/uES6DYpm1gdyQKSwViAmPZijOzv/fiVR4rtlh5l57xDqK1sJiz3Tl7cPH2fmbI1iR1s5pvw2D24Z8KdNIBUEuOGxkSx9divNDXbC48xM//sA3HYXWcPiKM3fxztPbEanV+FnUtNtWAjDnl6AvPRy+owdzPyp35F/PITp8x7CYHRi8C/FErAZ/cApyLd/1DFQn5lIQakseDyHkrwGbv3naB64agPNDXZeiErk3TF9qW8Lz/OTe/9XNdS0kre/kvpKC5GJ/qT0DEPr99NeCU2agaFvDyXb5SZDbyTR+PO1hNXGALJnPkzCyKk4LY3ow+MwRaX8LtfVx3+PiHh/1BoFF18ZSfW2l9rbBQSUOmN7GQaAsEEXogoUYU3H8SVbV5J+6Txctkaam1Zy9PnBVLpK2aOIxN/jILtiB+vD++FuqKbRlEKNeRGOsXegWbgPJBFx9ZNIEdm4J/6bssDlyIsjiHNfgkKvR2GNgTfyTp8uaQNj2ZDbJnSTpSHUIJKdLnJ+0xFuT4slY1Akudu8sgI6vYo+d/XEdsTSbhCDt5zY1n/uZ/FDY/livZv6UCsXzepJVWkTOdtOodYomPPoCDL7RKA3aRg7LZNBE5IQZAJ+Bt8qso+zo6XRgU7fZhR7PJ3rFDstvxg6DWASBIoCFHjK7BQf3E5QbAqKnzBeguPSOLl3E/WlJwiI7hDwksX0Qzz8BTKfUdwFk8zBoJkDaaqycHxvOWqtgstv7sv2b71e3E+f2M6D2RPRjk5g/UeHqS33lokLjzUz8PwkFj2xmcKcamyt3gW85AwDFNd09F93gNhBF1K87SsA0oeOB08FDYpdSAoX/peNome/W3A3uTEGpCHVyTm161sCU7I5qeqHvtt4yo7ux3ngX4x8+BPUxoD2vg3h8RjaUpUA/IKj6XbF7bSUF2KKT0HoXcsp/b/wT70P/w0BYK337ihXIva/npATxdQV7MdlbyU0+te/uwVdAPKelyPLmogg+29V4fTxnyKEpqMY/zCi3YL7zQlQ0jmCQNVqx9mzN5o9Bu+iHYBCgztrMkkRFrTmEIrLCzGMfwOFDHa89RB9pnSjuaoRdUpXbYQWDuCOGNGxIONx4VfwJRkzHuT+H5Wn+7q+kgn+4UwICGdOUDx1xxrJf/MEd721CIDbXz6fQ9tKiOkZwsA5GdgdbporlbTWWLnyzoEsf203Dpub1F5hjJnaDUO4Py6xLeXEJufOR0dx/2UfYLd6f6dZg6OoOtVEfVUr332Qw8hJab/fhfbxl+BsjeJb8SqO3QI8hjeEesa5mtQfTUuDnQ9e3MGEmT3Q6JTUV7fy6t1rmPvsGPpelsXBTSc5lV+P1eIke0QccYMKqFPtgMTtqOJjeGf3AiwHN1Ow4loqRQ/awHCy/j4Xd38dyvgLcJQdxqUJovBYHqXPzOLi6+5g7KSR1FVIzLsnAatVRBC8ubuRcsVp87Lx6t1rWLX4UHvbXa+N57Ibep+x1mWRrZVJuVs5YvU+CJWCwKrMoQz7hbBntcFMSLezF+fw8b9HbFogz6yYTE1BLlZ3RyjS8a/fJv2ym7HVV9FYXoIiYgQnK5PITNCQNeMeHE1NyAQZHhFcGNm/6HZUxkCK+w1hWokLiUZGavQ81KikbOFMJNGDxhxC5h33czj2TdLmPom2xEVTox/5dTFsmF/A+Dt640h5GiHFjV4aREq5P4MvTWXrSq9hHJnoT+/Ls5n8ipXsJBXXT1UjM1uIcLbSzannRVsx1z2XwbSy7kg2D1mZ4RwMdCDbVtPlvE8ermFkhY0BYh3b39hP0t2D+Pu/xiKXyVHrlEQlBSCTdfxW9KZf50Xx4cPSaEfbZhRbPC50sq6e4l/CIBNoNMpwNLgo3LOVhD6Df3JfQSYjIq0X+du/p3/0TR3tsf3xrHsWLnvxJ4/9qxIXo2X7qnyuemoCKlsrudtKWLc8l1MnGgBvKmbJ3mq+WLifu5dOprK0GREBfWQg1TYHTbW2doN40IQkkrNMSPZuCOUHQB+MIu08snRBxKWm4pTrCYqIQjiwAGOv7jTJ99GgXUdDklc1X1fzPKe+3ElAQibm4HAiQ0xYqk5ii0snZtSVnQzi07HWV+KxWzFGJbH/7QdJHDcDa1UxIfIeaKVYjga/Ru9Zr6MoKMLVUk+rMpDcT98lqv8EKvato2LfOk5u+ISR8z/+SfXin8NnEP//QqbRI+89Dc+PjGKx0I6zdxjOuY+gK21AcMuQgnthFUJR66s5sORxWsoKEAQZSedfQ7+5z6OtOYQjPhtXa9dqOzpSUJR3bpdba6jrMZh1RUdRCTKuUIWRZFPT5JC42F5LhSmapl0W3ry4s47H2/M3cOF343nEVcTYhmKsM/cTnxmKQiEjb08ZU27pj1who+R4Hctf3c31Dw9n+d0B2CQFYQaJV+etZfodA0GSkCtkxGUE8dC0zwA4trsCt7Orvo8PHz/H2RrFcZIk7QYsePOJEQThCqBrUsufgKjEACyN9naxLYDY1EDydpdxfNF+rnl8DKLdhUGv4Nv3DvLWTQ7mvPY2Yti3KGR69I4q9n/1WvuxtroKKr/ZQ+TwUYh7FqOQKXDEjKSh7CSOplrcdeUEJASSUfMZOsc6cDYiqecj2WYgaDuEfQpzazoZxACv3LWGvqPjiU7uqoq7s6Wu3SAGcEkSD548zFeZQzCctfCGj/+PCIJA/7GJ1GeZyW0dS/me7wGvIMaxLxcw5qmvqaxU8Nmbe8nbewwF0UQYrJz4djEet5PkcdfgqDqIJImYxlzJNZUl7SW4rhdFTn38fPtY9sZq8t/+hKh7h3DwRDJH12oY1tdOd89y+vUpoir3Mo7tfZjAND1as8QsZznPPzKEzD4RSB4Jt0fk1NEaFkzzo0cPGa22avrl/gv5gaUsuGEdM2skFjnKMIQruD0qhdtr8jh6soW3eyR1Oe9hl6SyY8l2giIMXHnHQJa9sJ1Lr+9NRt8IYnzK0T5+ByyNdrQ6JZIkYfG40Z7mHZEcFlD+8kKLURCoEyDDJKOm0kGvsJ83WkKTM9m9fAFOqwXVDyr/gYngaEWqLUAI6vpb+CsTHGFk2Jho9m/KJyzGzDdLDlFT3vEu1BlUeNwi9dWt3D32HeatvxyryYQs34bWYWHoRclo9WrMQVoi4k2c2vpPmtLvx6+nDnnLMWQeHUHF23EaMtm/7HlCU3vSU91IcsXlHIwqxtWWRBnhvhKdMwlTdAN5X7zJEXsrsf3HkN4thfhuPZAEcFktKE+r3OBxOSnb8z3735mPo6mWsJ4jGXLT42jKdyC3bsG1toGA7KfxKJqwFNezddHrCDIZHpc3t1Ku0hLSbRDVR7Zhq6ugqeTYf2QU+/j/hytuJO4hd6A69AGojVizr2H/Vx+RprmNutIG5HoldQePkT26O8a8fyPUHGXQ8JGcLM8kb8NK8r9ZhH9Cd3I3byBw/BXITikIC5tBpd4bKq3ARJrzYeQ7pnUa92SfmdxaWcI/E7Iw5zlYOXcjXx6pJTLBTMm/z2em/iC31nVd/GlusNPa6qRWcKKTyfCL1GMKchObHMPajw7z3jMdaVM3PTGS8pONhLolBp0Xz5qPc9m9pojdazrEYbv1j6T/uMQ2ccwYTIF/vpJ1Ps4tZ2sU3wt8chZtfwpi04J46N1LePmu1dSUtZDaK4zxV2Xx2j1rcTk9PD7lI7KHx6LWKNjx3QnmPJPBkb3bKSjeTlhIFsMjm7v0mZSajPjeFAAEQH9sFSOmL8YlClSLKppkZvbF3oot7GZSzM1EHnwGKTwVIXVMex+WRkeXfu1W1xlFCQCqnPYubUX2Vqwej88o/osQEBZIz6sfwBiVTOm2LwhI6knaRTeiNgcR2HqCyyarOJgYQkJ0Lfvffrn9uKL1H5F68Q0EjL0Ld/o4Khs6FmP8mmr58R3edDKPzFOPcvOl63nspXRS9s5uD9UKK95BxOh7EU1DKW6xM9MSy3svbCAq3p/lr+9BrVVw2xvdqLB9wterD5CaeD750RNpaD6PptVupuaLhA2JJy4lkH3VjUQoNFyiCYZGF7MeGsYHL+zA1upkxKR0wmJM+BlV5Gw/xWdv7OXa+4fy3NxVBEUYeGX1VYRG+/KLfPw2mhvtaPVq7JI3okcpnOZRc1hA8ctGsV4QsEoSOq0TQZ/yi145pUZHQHQSxQe2kTxoLOBd+BKieyPmrUbuM4q7EBxpZN/6k1xwbQ9ue3Esbz28kZNHa4mINzP5b/1454nNbfsZOKCy8EbLUT5XZvDAlM869TP68nRSekzmrcm7uPD6RLLGu9m79SkMfiEMTItGrtFSvHsNYVPnEborhz7VV2ONCkQwJFF2shlrUwNHP3ulvT9rq4XiBsh7bz4el4PgjAFkTbubwJReANQe38uOf81rVxaWnK1o9y9COLQcCVCU7EYqXIdt/Es0WxsQPS44TTC6Ln8fiaOnU31km/f4M1TD8PHnxKXQsvH79cT0nIjTbqN46YK2ShMSQTED2PLcbIbf8Ajqz64HWwMSoC3eSVKf6ymPSKClvBBHcz3GyBSKqw4hut0MqJ2CtiITF/WI1TKaaUZ36cvINr0AzlasQ27l25BeTFP5kVGn5LmZX1JT5n33lxU28ujlK7juq9F4YryK/S5nx83ac0wcW7UtCHbINtjRzNrPiaI16GPncvXd/fnopT14PBLnTelGWVEj+zd7PdRavZK6SkuX868ubSahWzCh0Ub+9twYdL60qP9pBEF4ESiWJOmltn9/B5RKkjS77d/P403XjQNG4S2dbgcmS5LUtVTO78DPGsWCIIwHJgCRgiC8fNomI94iy39KZDKB2NRA5j1zHnKFDLVGjhORiGR/Th2rY/DFKaT3iuDNh9Yz+KIYWrRLOXHAGypV31BCr4jOocemmDT8yrd2GUfc9wHy1loiMi7knZz+PPaB17hNjTTxzpwn6FWxFtlpRnFUkj8anbI9fwIgNTuM8Lgzq0n3MnTNH54ZGkeIyveg+CuhD4ul+9S7SL1oDgqNDsnjpmDVO+R88IzXExybQaPGW45InzQARZ/rMYRG06wPY9aTzSTmyRg7LYLvLF6RGesZwv0MkUnUNxlw2NxE6cs6cpfaELe8iszZSrwxnDdfbmbHNyc4/6ruXHXXIAJjHOwpupUWi7c0xPY9b1JeeYQEv/t5457NNNfbiPsmiMTMEPasKyIqKYAd+fV8X29j0o29WXLwBtwON1a1RM7GUla+uQ+n3c1Vdw2iMLcGW6uL0vx6Thyu8RnFPn4zzfU2tH5Kmt1u/GSdX6GSvRlB9cveCbngDaEWFBZciuizGjc0KZOTeze2G8UAQmRPxGOrkQ++6WeO/GsSmeDPTU+NZsGDG6gta2HWw8PQxxmQRIn3H9pMS4OdjKFRDJzfhzs9J3BJEnXVXT+0N6zMIyJhAMYALfGDTvLthqcAqKkt5GTpbmZMXUDBy/9g5wevYI5NIzFxJGu/XkJu4YNMv/QlGk54la31obHEjbgCbUAYu9+4s73/mtwd5H29kHTNLegCwqg9trtTqZ20YeMRVs3tNCehsQSjzEaLoeuzOCAhi6ZTXoExtSEAU7Qvr/Kvgl9QJFEDL+TYV2+2t6mNgZhiUtEFRjDsviUYW46DraHTccoD75HU/x/sX1GI1j8EBIEwPxGVSsfh9/5JXf6+TvsPvO11/C95la3rWmk86M8U53FsBjfHTvVrN4h/oLXZgb7Sw8uRFTyx/CK+vGcLpXl1DLowmYH39Waa7SBXmf2pW/MI5aV7AVi74x4SYofx/IYXOCy5aFxVzkePbwdg1kPD+Pyt/Uy5tV+X8x9/dRbDL0tlziMjCIr4aUFZH/8zbAUmAy+16VYF4bUvf2AQ8AUQAWRJkiQKghAFtJ6rCf1S0kg5sBevZb73tD9fAOPO1aT+F4jPDMHW6qTwcDX/uOxjjod40C7sybOHrqXXDd1Y8OB6JAl6jvbjRPG6TsceKN1A/Lhr+UGCVKnVI1OfQZdMrgSPC3HLa1zbrwa91rt/XpnEu1v8sEf077R7bGoQL3w9jaTu3pzgAeMSefDdSzD6n/kjrI/en/dS+xKm1KAUBOaGJzI7PP6M+cc+/twIgoBab0auUNFQeJhDy55q9yBYq0tRG/wx9pvON/7PsKosm+1lYTy6zEZZrYdN+1z0LY9ngj4SGfCN1o+ky25uv79VejM9p/6dOtGbZylJZ3isyJUguhFXP87cv3nv32+X5vDFwn2YI1vaDeIfKD61Ff8oK26Xd1X55NFauvWPpKXBzpGdZTTX2xAEGHlFBhFxZmJSg0iLC2bA4DjuX3QRgyYkseq9g2xccay9T9Hj85j4+O0019vQ6lW0eFztAog/4A2fPruQPRMgqhzYPGfOKf0x5vBY7JZmmqo61FaFyGykos1d6uL68JLRN5Knll/OlNv6synJyXDbbh5SFTL9yaE8d+gaUv/dj9uV+ZgVSp6My0Su65oPHpUUQFVpM0MviyC3aEmnbaLoIb+2koDL/wWA09LM4ZI9FJzaz0Xn3Yeuzo4+LBaln5GE86ZzbOXrNJUc6zJG9eGtNJcex1ZXyY/fzubQKBC6PlPlAkT0Po+kcTPb27T+oWRMnIfHaSd5/LUMf+B9DOFxv/7C+fh/hyR6oDafbj2zmHDv68QPn0jyhFneeyAsDrlShehynvFeQqZAkkTiR07m5KZPqTy4kQhDJEHm2C4GMYCzpQ65KPLyY7k0VtTgn/MSVf5xtNTZUKo6i20JAmSb/HnBP50RoxL594aZfJx3M/9482LKLEYu1UfT22NrN4h/oLB4EwdlB7nBeRQSO1eAcNhdxHcL4eEllxIQ6odCKeOKeX259IZeZPSN9BnE5wj15k+nqzd/elK9+VOx7b/Tf2OX24CBbX/vBhwGWgRB8BcEQQ2k442DqZDaPlglSTolSVLDGXv7HfhZT7EkSQeBg4LAAwkiAAAgAElEQVQgLJUk6U/rGT4TCoWMrEHRvHr3GgZfmIK9xsEyUznpOn8KTS30nZTM7k/zcTsF5HIVHk9HCPPhgjVkjp3N0L/1RKjNxc/TjDw4Es/+ZW01AwFBhixhKK01ZVS59VR//wYfTx7EtqY+PL5Sx+Y8DVZNVBeJ7+xhsby2fiaWRjsBIX5ofkZ5WitXMCUkhuHmYByiSKRai+JMD0QffxnqC3Oozt3Rqc1la0GQK2hMu5F936qIDPLgFmF3Xsc9/ciLdgZ2j+aTWQn01RYg7z6IoMgkHJZGjIHBGI4sRT3sIcbe2oujFXai9MFg6RDCkvW/DnHPEnC2olN2pAE0N9hpruv6aJHJ5FSX2rjoup589K9dAGz9+jh3vno+R/dWIHokxk3LJGtQZy9bdFIAodFGVi87TH1Vx2JiULiehG6+uto+fjtNdTaCI/S0eNydRbbAGyFhjjqrfnROG/JgLTXVv7wveIWPQhK7UbxvC1njp3rbdP6gC0QqP4QQlf1rTuMvg06vJjTaiL6pGWSwqaWe93U6DKhZb63jqfjuZOiMLCgrwm6JpvvwBHI2FgKgVMm58s6B/PPmVQybGIMu3gR0LgHjkvSsKO3HxO6jSR15EZrm/QzpOx3DnsVYRj+OxaUgefwsjq96G7fThlJn7DJHY1QyjsYaZPGZWKpLCM4YQE3uDgJT+9DkkGHsdTWyPe92HBCSBhoTamMAmeOnExMVhNvWip+7HuXmx+hx8a34JQ3wlVL8CyHmfo1nyZXgcaISBLIvfAb5oDnYWy0Ub1lJ+Z41mGLS8O/RB4wR7eXFABh6K8HBPWnYuYHKAxsASBp0Ps2lRfgFR9NaU9ppLI0piJ2HZEy9rT9ywYPHPxGlo4XKRoGpt/VnybPb2vedclt/vnplL0VHqol8YwKr3suhtryFq5+9kH88Y6V7QgTXXSsnTxCQTouQABDlKnQyEanZ+42QNSiKwiM1XDqnN2qNgnHTu9NnVBxOh4fgSCMKhe/79lzRZgC/hVd0GSAWeEu9+VMcQyct+0/6lCSpXBAEtyAIMXi9wtuBSLyGchOQAywDtgiCMBRYCyyVJGn/bzubn+aXwqdz8MZwn9G7KEnSn7p4XXxGMLMfHs7xfZV47ArGR4byesUJ5oQncPT2aKZNS8RPpmRY6u2cLN6KAJws3U5YeH8iQgMJfG84qHTIBsxGVPohn/ExUt5qcLYgRGThqD3J/sMlVB3d0zbiNwzMHMPlA+4jKkQkMDzsjPMy+mt/0jt8JsLOIpzPx58fh6WR3W/cRfTAC7psaxJN7CnRM7qXjKc/aKJ/mppBGWq+3mlr32d7jgtniQ3CrGx9/S4cLfXt23pNupHE3KXIrpmIfzk0mt8loHErUm0+spTzkCQRWdr5iOWHaCSc9D7h6M0acradQqlKJDZ2JMXF69v765s1h6YTetL7hHDri2PRaBXkbD/FkV3lDDg/kW+X5PDYdV9wz4ILiBoRgZ9CQaDSmxagUiuYed8Q4jND+O79HDIHRHLhNT2JiP/5cmQ+fJwNLQ02YlMCaHS70P7IU4yjBeEsPcWq1hakMAM1hWfv5Q1JzODI6uV0Hze5PQ9ZCO+OVLgJfEbxT9JjaAxSfhWzPC7esZSy0HqK5WH9eK+xlDsKDzHMEMS4wDBK1DLEEcOYdkk2osOJx2DCFKNAoZSzeUUpd02cS2X1zYC3/nBGyvmodINYc8DNFbc8h9q1EcOepdDkLR8n2FrIX/MZ/SbPJVB5GTa3QIu1haC0vt4waUCpNRA3/HK0AWEc+/wNgpOyiM/MRn7B1TTbXGx4ehapIy4ldviDaKoPII/ORpBEXIIKV2MNih3/xrj1jU7nq4geTJXdQ+zgS/67F9rHH4JYfxLPR9fDD84ZSUL86m5IHs3xdZ+T96U3nLp0+5eUbElm1Jw3keWvRWooRpYwFPHkDvyCkije9Gl7n3ablaOfvUrWVffhKDtKQIARUVDQKmmwWRo5sB2Cwg30HRmBKuQOYtf+k5KhD7Ph8QM8sOhiXE43lkY7wdFGPnxxJzc9OYo7L/64Pad4SE4VgzL82XDQzmPvBTKj3xwOH1rQPn5K6vlskum4LyCcyvVHmHZ7fyLi/YlKCqDH4I7F8MAwn1f4v8STdBjEP6Bra/+PjOI2tuE1iAcBL+A1igfhNYq3SpJ0ShCEVLw5xaOAtYIgXCFJ0trfMOZP8ktCWxeei0H/P5HeO4K0XuFs/fo4Nykz2OtswWyVmBvRnSatgF4hYsmbSOGXMUiiyEXXP0Kex0BVUT7hggz5+Y/gWfsMWKrxCAKykf+A9HGIe5fRas6k6mhnUY+mw6u5avr1JHRLQ678aS+wDx+/FntDFU0lRxFkMtIvvZm8r95CdDtRm4JojJqI2SPHYhPRqAS25zp4+np/8stcHD/lRhBg7lg3Sep8mmuqOxnEAEe+/5jhl1/JHP9ajJYiNK1NSIIcVHo8y+eC6EEI64Z40ctU5/kRGm2itrKFuc+OYX9jCHbhcfoNPoTDmk9CbC/qcw1882keBTlbufX5Mfzz5m/weLyryKsWH+Rvz41h26p87r7sYy79dgLv6Wv4V1JPhpuCEQSB0GgTV9zcl8vm9EKhlJ/pcvjw8R/R3GBHZ1BTekZPcetZ1SmWJFA21eEKC6F+t/Wsx/bzD0ah1lBzMo+QhHQA7++qYBPyYbf+qvP4K6HRKhmQFUWWK4xZtfHs31JM7eaT3BMciNDbhKTVoS3XMaKHildzbLy7SQfouHighu7dVYx9agra1kYaWxRceslK6hsKMLmy+fLNPJzOXTxydR9WbFYQ2F2H0dUmcClXkl8eTN9h41AvnYja4wKVDuvIR3A5UgjtPgS9fxBmqQFPRDzFO78nOCyE8MJPkOV/D2oD6sG3EZbeh7wNKylQqtGHx5MUqCc6MZHignzCFCbkJzZ2OV9lYxF19YLPKP6r0FoHtsbObZJEa1M9x1ct6tRsqTyJR5IhlB3wfpcW70Q+/hEKik6LgBAE/PyDcDus+NFKTNXncMRb4zs4axJ10Tfx0SsbACi5pjt3vHoB5vEP0d9ix3BDNive2AcSXHBNDz55ZRc6vYqGmtZOIlvNta1MPy+K4mo323PdJEdcxxUTBlNXexC5OoW0zH509zfQS++P+oM0ZHKvY04u93mD/yB+SsL+t0rbb8VrBHfHGz5dCtwBNAPvAEiS5AC+Ab4RBKEKuBSv1/h355fCp4t/+LsgCLFAsiRJawRB0P7Ssf/fqW5ws/Ook9xiJ727y6mIk3NCWYVe5UdUfRB3LmtieA8Nw4PqeWRyhwj3nrXF3P7uZIpsYWRnXoq4ewn8kC8pSYjrnkF+/sOI2dOQXGcWvOqdoiQ8yScI5OP3ReVnRmMOofHkEdwOK6kX3wBAePYovivRcKLchlIOsycYePmzZh5Y1MBVY/RcO15Br5AqnKvvx1WYgjY6tUvfosfNXv1llLjtXGn24PnqSmRD5iHteqd9H6nyCO6Dn/P6I3GcPOY1qg9vL2PK/LE8dSCcZusgMmKHc+cVRvIcTSTPTmSUupXCXfntBjF4DYrda4tI7xNB7u5y5GUOjsW0cPHhrezIHk2GX0d4os8g9vF701JvQ2dQ0expQXO6USyJ4Laflfq0vbUJP6edpiAtQn1XcaefIyQhg5IDW08zijMQdy5EkiSfXsTP4PZI5BR42LhXQHBGEhLaxGe3rmD8NT35UujJjqM25l4t8sAsA3sPebA6JHYfc5JfCQfqdHzSbnvq+XBWFA9e9WF73wc2nOTaVyYhGMLBWgdyJdV9nkK0OtCsvqMjbcppRbfpCQJ63oFKIyd411MIg27AFRRNTe42UjMCvQYxgKMF5brHSBv1JJVH9+BxOWgqOYZjwAUcPXgIQ0QC1uYmdBkXQWVup3N1BKSil0ec+4vq438DY7j3T3NFR5tM4a2ZLnbW0kgYPAH513chVR5pb/N8fCP+53u1dNWmIHpOvxtD6QaSR0/BVLEFags6Ojj0KTb1cOQKGR63yFeLc5hy2yASu3encHUB90/6oH3XPWuL+Nuz57E4bzPmgI4IGrlCRlx2NAUWifkzTJTVerA7JR7+yEhpTTYzx+nZWOBhZC8NH1isDMzQkBnvcxL9wZTgDZk+U/tvYRtwJ1AoSZIHqBcEwYw3x/h6QRB6AZVtodYyIAs49NPd/TbOaslFEITrgeXAD7ENUcDKczWpPxqrXeTxpU08s7QenaOFekcN81uP81R1LgpJ4MYX6pg30UhRpYtNn+R0OX7XpwfRR6fi7D0bqfxAl+2Sy469aC9lh7bin9C907bg9P4ERiecs3Pz8ddFGxBKnxufRaZQYako4uhnr+Bx2jFGJpEcpWDpmlYqG0S6xytZ8PdAZl9gICNWSXaiEu3J79FqFGiDIvG47Ci0nbPdTcNuYvbrKioqDVQ2VYApCun0F2kb6tL1JKZ1zqnb+M5OLu0tw+WGGWMNzHq+jsdXuHl0pYf7vtUxaGovrrlvCOOvzkKt8a7Fedxi+8qxYPaWF3NIIsdtnZUvffj4vWlptKMzqGhyuzp7ip2toFCflWFqqa0kQKWiwaDAbpNwOqVfPOYHguLTKTuyB4+7rQqBPsSb5FR/8tedyF+MTQftDLu1gvvetXDvMgf3fKNj0sPjcTvczB0r5/1bFWT1aGbZmlbuXdjIY0uaUCggr0JCp5Hx0AwzM8f58f79QRz5/miX/o98dZCIMC0n+r7N5uh3uWs+aMW6DoP4B2yNREWFErLvRVxJY8g7XoLL2kx835EoClZ36VfrbECm8BoEMoUKfXg85XtWs2fB3Wx+egaVhELSSO/OgoA7aypVLSLhPUf83pfQx/8oMlMEiquWgqEt5U5tQD59MX5R3YgfOaXTviExcXCaQQyA6MZPpaTXTe8gdnucrduNSMZI0jLTUZTt7jKeyVXQXgNYkkCSJFpcLlYu7JrqmbOjlKc/uQRzsA6tn/ddfcMbk9hXqWL7EQeHTriIC1Og0whcPVLFsr+pCFU7+XCdlbxiD/P+Vc/w2yo5eKJrSVIf/1XuA34c1mRta/8t5OBVnd7xo7YmSZJqgRDgS0EQDuM1ht3Aq79xzJ/kbL29NwP9gJ0AkiTlC4IQcq4m9UeTV+oiTGllpGUfH16fg86g4taHB7KqnxZPtYa/X6GiqNyNIMiQq7peQoVawclqkQqNiZiYvlDS+aEiKDW4RAX537xG/7kvYCnLp+LIdiK6DyIqawAKsWt9YR8+fg/CewxnzNNfY6kq9pZqiE5BqdUjCHYev87MS582s2qnjVE9NdwxxcgVj9Tw8Ewz04ddQMnaClyqQFzmdHrf3psT6z5CrC+E9Cv4sLAXpdUe7E1KGkIDCGsoQciayI8/9Z1xY8h9vbNwoEIlZ3hPLcXNDjYetOFs+9b30wg8fpGbhXd8y4mcKmJSArnpqVG8/cgm+p0Xz+v3rmP4rEzWB1qg7RiTr/62j3OMpcmBTq+iqdZFgOI074XDclah0wDNNRUEm4OplcvJNMmoqxUJjzi7qAaN3oiffzBV+TlEpPfy1isOS0cs2YU8MP4/OaU/PVa7yKNLGtGoBG6ZaEQh9+qkhIYb6Zup5v3nv2fPuiKCwvVc/uBYtkUYOV7uYUimhnve8j6vVEoI85czcYgO8cdh84DOT4Gy8QQmjZUWnZyxl4STmKmCowoQTxMT1AXgMkRjO/9fVBbmc3Tty4QNnUJQ1kjEU58jO7WnU7/K8FQCU3qhMQUR0WcMzWUnaKkobN++ffGzDL7lJYLHzsftsGOX64kNjkHrH3puLqaP/0lkCUNQ3LrNm8/uF4gsKBGA9El/wxSbRsmWzzFEJKINTwatf5eyTIJfILFKG7H9KpEUflRUadEogglIHoW0s3MItjE6hsefj+KeW07QZ2QMkYn+HHe0ItN2/V0o1Eqev30Dw2Z146nPJrNpxTFkkeE8+Uojy+4P5rWVzby8opl/zxTY/No63t9xirAYEy/cO5Zywcjjs/ypqvfw7U4bPRJ95UT/KBxDJy1Tb/4UvDnEMXg9xPf9pyJbP9DmHTb+qO2a0/7+LfDtbxnj13C2RrFDkiTnDyvggiAooMv37p8G0SOhOXGcL9/3eugtTQ4+vH0DVy+fgDYcNh50EheqwKyXkTAiHfmyg+3hnTKZQI+Lsrj61QbuuyKEW7JmYWwq9z6oZHJkA2bjbq6hrEYCSeL4N4sY1i2Q5Bg38vhgPIsvQhx0I4y5D5n27EOoPS4HzaX5tNaeQhcQjjE6BYXaJ7DlozOCTIYpOgVTdEp7m8Ml8sTSJnbkOpgy0g+zn4zdeQ62HXYgl0GjRcRWcgi/QfO47R2J9QddBBhlPD37AXbl2vlgmZ1Wu4QggMbfzSFNKMkp41BZahDSxyMd/QYAKaoPlUEX0dKwpdOcRt8wmIc/tLLkFom/L+54rFw/UsbKBz6jtsIbXlpyvI63H9nEIx9NpKiphX98PYnFhhq+cXlVri8JjKC7zpd24OPcYbe5ED0iKo2CZreL6NOfsY4Wb7jiLyCKItb6aqKik3AgYDDLqKv1nLVRDBAUn0bJgW1EpPcCQAhKQirZDdlTfuHIvyZOt0RVvYeHZph55sMm6pu9IaVXj1Bh3LKHPetOAlBbYeHNeSuY88p07vtcRqu9I/R0WHc1V56nZ/kmKwMHpiJfegCP27tdJhO47NokVO8NIAiv26Pn2Efh6EHk4x7Cs/pJb2i9xoh99COse+HvOFsaMEYlk3bxjWj9Q/ELjsI9/jGkxZPA6XXICEkjUKWOZHifaTgsTSC6KVz3IT/mxKbPibz3XVR0VcLx8ddBZo4Ec2SnNrUpiIg+Y9FHJLJ/4f1UHFjPiEl3ol3zoDflA6D/9aix4PlwHtibAQgPTqXecDeVunRCQ7tBlde7LGRNRKg8TLec+Sz4+BPsSgNaPxV1DY0kTU1gy7Lc9u9huVxg9MxMjrgtxPnpuXPsBwSFGxg9aiAL7wzizn/XEx2s4J1bDHx1/3IKc7yphpUlTSy+7TP+8ek1XPqCk5gQBY9ea/4vXUUfP0WbAfybjOD/dc7WKN4oCMJ9gFYQhDHAXODLczetP5ZAtZONHx/u0t50sJ70Hgl8WOcgMVxJQZkTq93IvHenk78lH6dTJLp/EvO/VQEieZVKjjsPE9n7H0RFhyEJcpprqzl5eB8Fm78CICo9G+HEYmipwtN4ivqLlxPw/TXIul0AicPOar6i6KF48wr2vHmPN5YF6HH1AySNm4Fc6VtZ89EZyeNGqjmO1FiGYAzDbkihsNxNbZPIays7wo+To5SkxyiJC1NQZ+jNnhN+CDIb4KK+WWTOCw08PcefVrsNjUrgzjkalgs5OFpc9I0cj7+rDm14PxQ9rqS5pgyXf3cWvVjOw+9dxO6tVVSWNBM/OJkPj/pRWOHhsx1y5k1QsvOY1+0bKrextaJzvmVLo50GtwvZ0ABSdGb+IYZwqbWFEJWGnnozQSrf/e7j3NFcb8Ng1iAIAs1uNzpZxytUcrScsUaxJIlIzkoEhRFBrsfaVI9Co0WhVOEvSSiNMurrfl0N7eD4NHZ/sgC3w45CrYHgFKScFb/5/P6smPVyHrzaxFc77O0GMUB6sJsVq0922lcUJbT2Jpwuf2LbFr/vmWbEpJez6BsLMpnAhgMq7nltCuW7CxDdIj3GpJDif1o9V30wcoUcKSAW0dqIfPq7SDX5eMwx1DSCs6UBQZChC4oiJHMwMoWK1tJc5CoTqhu/g8ZyBI0BITwTj8ZM+a5vObD4EUS3i6Rx11BzZHunOUf2HXsuL5+P/6e0VBRx5JMXkas0aAJCcdksOJrr2PbNV2SNfhwtdvzis5G1VCAe+KTdIJZlT4WgRAIrN2LTx+K55BVkLRVYXHo2bvIgOq306ZZKmKqQRqNX2yBZq2d+UB0zvriQU9+cAkki9cJ4pGwDmXITp949gdslUlnSRFKkki1HHJTXeSgoczM61tpuEP+A0+GhsawBSfKjuMpNWc1fqiqsjz+Is5VxuweowRvnfQOwCnjgXE3qj0alUxGeFNil3Rilp7kJJg3T8foXzVw40I9hWVq21xmIvnggHzq6M/cjJYWV3pdujyQ1ztix6P0D8Cy5EvvBLyk8uIeCLV8DENFjCJF6F7RUeQeoO4FCI3BqyIvYHa6znq+looh9ix5qN4gBDi19kpbywp85ysdfEUmSEHNW4H6xH56FF+J+qT/6/JVMHeXXZd/ECAUPzzQTZJRxwZMS815pIMAo45LBHb6IQEUTG28v4utn1RQlFFAr2hlnDEQbn8WRPbv49pX5fP383RQWNbBsYTV1lRbkcjlHAzP4UtWbeSu0bD7q/b3sK5ZTs+0Y8yfKiQtT4GdSI/9R3UFBgKRQM1NDYkjXGxlgDGRGWBznB4QRpvplgSMfPn4LzXU2/Eze+6zF48LvNKMYuwWUne9ByWNFrPkEqWkzYs3HiI5TWGor0RoCADBLIhhk1P1Ko1ip0WEKj6b8qNcQE4KTkcpzkH6cv+qjndG9tRRVdLxX+yXJ6BHqJDiia0kXc4KSt57QoFbC8zf5s/Oog0WrWthz3MmwLDWlNSI3f6hgqSWTj5xZOAKC0K57qP144fxHabJ5qPMYsDvdeD6eg6DU4DiVS/XhrQSm9Kb39U/hcVrZ/uJcDi55jFOHtrL+5TspP7ofUWOmRRfDie3fk79qEa1VJQgyOc6WBhzNtUT2H982kEDMkEvxj8vAZW/tch4+/rq4XQ6OfPIiJVs/R/S4KN+zhj7XP4HGFExLRRG7VyzGqgzArQ6A1lqo834vCrH9QRCw11fQoInDJSmQ9n/I8YN7yT2QQ0F+E8/PP8Y9jyuoV2TgH98NgGiNjlfSerM2xsaaa7S4boul15AYRgaFMdw/BJWqIxKmuNLF1ztsXDLI+y3RKirQGboKaWlFB89OliEIUFjhM4p9nHvOyiiWJEnEK6w1V5KkyyVJekv6cZXtPxEhQWqm3jkYja4jPzGxRyjZWeGonCq+3WVnxlg9Ty5rZN1+K2P6+AECFw/SYdbLCDbLuGeaia2HHci1Bgq2r8HRZzYy0UVacgRjb7yfUfM/JG3gSDxKA2JUHwCkzEtorinnwHvzObZ9PW7H2eUWO1oaEF2dRQgkScTeXPe7XRMffw6k2hN4Pr4BPG0fh6IHz4pbSY6QcePFBgw6gfBAOfNnmNl9zEFFvYcduQ7q2rwryzda6Zem4pGpEpseqGdouo2GboF4ajdx9ZqlfG8O4bw376XgvcdIGjuD3rd9iOm813h7cQQr3yng4JZS5l/9OVdktpBX6jp9HYfhcS5W/GsbW+Z/xDRNDvZjhdzw6IhO87/uwWHEpgf9dy6WDx8/oqnOht7kjUZo8bjRyTs+9KQf1SiWJBGxYRWoQhFMQxH0fZAa19NSU47W1GYUI+IyKqir+fXGbHB8OsX7vakIgtoAOjPU5v+W0/tTE+qvYOa4DoHAq7OsPD9rBZNv6YdM1iGONvTiFDzVNvJe34ZLdHK81IXTBaIENodETpGL2y834m/whldPHuFHTpEbe9okANwZF1NQVMXapQvYuGwB67/fQPOIxxGPr0NKGIbochI14AIOLnmcmtyduKzNlG7/ilM7VmGKSmH7oiepLzpC1eYP2ff2A+Qse5ojH79A6gWzATjx/RJEp5MR8z+mx1X3YaurYM39l3Bg8aPYGms6nbPL2kJD0WGaSvPwnPaN4LZbaSzOpelUPta6CpxWn0DhnwmntYWGwsPEjbiCQXe8iVJnIqrfeExSEyPHDGPU9NmMunACITueQL7pGZoDemJPGAOAkDKalsAstuw6xoZlC1i75HWOVDgJTe1JxfpXGdi3FlOgluLjTRRVGlDr/dvHjVRp+FtEEg/EZHBRQDjhpy0S9hwSg07vNXxdHsgpchEeKGfaKD8+2iNjykNjOp3DhJk92LzyGEfeW8tl/RSM7+9LB/Rx7vnZ8GnBm0Q8H5hHmwEtCIIHeEWSpEfP/fT+GBRyAZ1OzgOfTeRoeT2SRkZxjMCl7oM81TiSL7ZZiQiUM2WEH5IEOYVOaptFth+xc/UYP9weeOdbC+P7KLGsfwGtVkWVYQDHt7yLJOWTduEsLHvWkPf1QgRBRtLwS0gadQHukO4UrlhIYFofClYvJWH0dMxxGb84X11gBGpjII7TjGCFxg+/oKhzeZl8/H+ktdqrkns6tgZiAj2s32/juvEGrHaRV1Y2c8tlRnIKnQzMUNM3VcXuPCeCAJO7FVGz9X0q3l+HLTyejAtm8URgGPOm3o608VN6j5uEsXwTit1PcijjLebPWQOAOUjHqAvDaWxw46pv5Z5JAbz0pQdJglsv0WDdtQ+71YXd6mLNO16xmUU7r2PB5muoKm4iONpIUlZouwK1Dx//bZrqrOgMajySRKvH0zl82t6MoOnIaZdacwAZgrYtf18ZhIgeW3M9IUmZAJglCYtJTm2h81fPJTAmmYLt32O3NKPRGxGCkhDLDiEPSftN5/hn5qJBOgor3Hy2uZXqwyW0NNr5fOF+Zs8fjsvpwc+kJrF7CKJHououHTnuKjz5oazdb+eBq0zsPf5/7J13eBTV+sc/s7N9N1vSew+k0HvvTcCrqKgo2HtBxd6wV7yKvfeCFUUFaSJVem8BAumkZ5Pd7G6yZeb3x0JC7uLPq4Dt7ud5eB7mzMyZM8swc97zlq+Hb1a7SIgUmTbawOBOWm54sR5ns8R1t/XBeNYLNDhh51uPt16zuaGazQu/ZMiw/ugOLqDr+POpOlyB9z8q5dcXbKPf9BcxJWbRoo/FKLYZAZLfS+WO1ST0GYdep8WHiK1oN9s/fKz1mMJlnxLXfTiJfcYBgdDZzW/fR/XO1QiCgqzxl5F9xrX4Pc3s+PgJlFoDokZH2foFaM1RdJlyJ9GdBqAIFSv8W9NYXsD+797AGIzXjCsAACAASURBVJtK0cqv8De7SBt5PqbEDqhaChH2f4cubRCy/TCysxbFgR+pjz8dqdlAat+rkJN6c2DRPOzHRBoWrl1IdOfBCIKCpvx59B99OQs/PYjH2+ZXs/u8PFi8m7cqi1rbZibnckdSR1QKBTqDmqseGcah3TUkRoqE6QWe/cJO5zQVkwbrieyQyX1fT8Ne0UiToCVCLzPr4oDc6f33QN/OoUiwEKeeX/MU3wIMBHrLshwuy3I40BcYKAjCLad8dH8ikZFaPrPUc2t6ObfFl/Kir4RGv4/UeCWCAIfr/Lz8jYNX5jlwuCV+3OxiYn89rhaZ3UUerpxg4KLc7TQVbiGm0wC2vPcQTVXFOKtL2fzOg6iMFhSiClmWOLD8a2o0aVRX16A1R+Jx2ECW8XnbPMU+bwsNxXup3rMOZ01Zu7EaohIYcOtr6CMDBRa01mgG3Po6YXGpf+RPFuLvgCk+UHnyWJRaesXbePwKK2U1Pg5V+JhxjomVO5rp1VHDFytcjOihIyNeyT1nQ9nClyha/gUt9jrq9m1i68szeFACb0M9Sd0HYl05E3H318gVu3A7WlCqFJxzaQpvzfZxU9Zj3Df4TfqlFdPdd4D5l29h03NqbjvLSPHm4nbDyusTT3yalS4Dkhg9pRPdBiVjNIVyhkP8eTTWBTSKm/w+dKICxbHqSy12UB+VKfEjO7ch6PPane9qiUCjlVGIAWM6HAm7RUl9/W8LnwYQVWoikjIp2xlQshDC05DLgyVRQrSREKnk8SusLJkVS1ZWYAGjrKCeNx5YzruPrWLTskI2LDpIldDC4/YCXnDspVuvQKGuHza4eeIKK6N7ahnYSUNarJIZr9VTZfMzqocW65538X9/N04huNRVY+l+vMmDUMR2QuOqRmsKDzpGodLQULKXvXNfZN3Lt+KWVajD2t7Vad360iNZQ55tAV21RUTqBVS69qHfDUUBvWJZljn006dU71x9ZFvCWVOG7dBOStfOp+7AVkS1loKF79Fsq6ahaDernryE2n2bcNVVEOLviST5KVj4HmHx6eyc8xSO8gJcdYfZ/fmzuOvK8cZ0hs5nIRWuAVlGPH0W5JyOoFQjWBIpVabhrTtM1f5gKdGG8kJUBhN6SzTNzWCyaknLbUszzHfZ2xnEAI+V7OXAkcWfrSuLmX3LYtb+UICzpJr7p1mYMsJAhEnEqFVw2CYz/TMlzsQ03BGx7FxVCIBGq6RTpo4I039fiDBEiN/LrxnF04ApsiwXHm2QZfkQMBW46FQO7M8mPsNKhbp9Xm+YKFJr83PfVDM6TWA2FBch0jNLw2u3RFDb6Ke40sfkgQqGGpZT+fHVWFJyqN23Oaj/6j1rsWZ0ad2uyd+I1hRBdF5/bId2Yk7OISwmoJPtcTexb95rLLlzPMsfOo+ld59O7f4t7fqLyu7DyEe/YfRTCxj1+HfEdhl8sn+SEP8AFOGpAT1D/ZFJmdaEeOEHKMJTMekVTOinIylK5KdtzZw7zIBGDX1zNDz/lZ1zhxmY1reeii0/tuvT3+KmubKQ4kcu4HD+DryZY6nrdjfOnIupKa5hyoz+TBl5mKjNM6G2ALF8A4a555JurUbpqMFRUMzHs37mthdP4/yb+5KeF8W0OwZw/3tnYI4I1VIN8dehsT5gFNv9Xozif0QstDQhHKk+LbsLQDSD2N5oaWqU0Wq9IAc8w+GyRI1F/ZsLbR0lKiO3NYSaiHTk8u2/q5//JZSiQFqcin5j0rFGt9VSUKoUnHtDH6rL7RjjDNj9gRzGJ+SNzJqpRa2V+Xq1k6tPD2N8Hx23vWajtNpPboqKYd21NET2A48TvdEYdE1zUgeUzgqkb29F4a7BUrOJ2P/QEc4cPZWy9YFK/cgyu76YTfKAfwEQ17k/MRVLEde/DrYS2DOfsKV30nXihe2vkxIoeuR12SnfsKi1PWvcJXgcNvK/fY3Dm5cQ220oZesWtDtXliUqt69gyV0T2P/Du3icjb/vBw7xp+GsKsVWuBt7eUHQvsKfPkcoXQ8rZ4OtGPngCvwLZyL0v4KIlGxKVn+DUfQgbnqbmJxeQecrDSZ8zW5yRk+mQ5cIZs2dQGpuHKUF9Xz16kb25FcHneNHpsnvx1bjRG9SExUfRk25g4/v+JZknRuLUSA5RoHHJ7Fpv4cJ/XTER4g8/ZkdTVhggfGqh4eRmBm8iBTin4EgCLIgCB8ds60UBKFGEITvj2zHCILwvSAI2wVB2CMIwoJf7u3E+bU4RNUR8eR2yLJcIwjCPzrGRqtVcUFEEovtbf/Rh5tj+PYbN+v2eJh+lqlVruaFuXYevUDDwxcaQK1CspXw87OvgizjcdmxpHUK6l8TFk5jfX7rtj4iDlGtpXD5l6QOPJ2OEy5HYwqswjUW7WH3F8+2HtviqGfzm/cw7IFP0RjbytTrrNHorP9Y+egQJwlFx1Eob14HjgowRqOISKfFLvHyPDser8w5Qwz4/DLf/eyivkli0mA9eq1A/5QG9CpQaY1BoX+iSoMs+dk2ZxZNF77B7RdtIz4lhyvuj0GjbyCy8L32g5Al4sV8qhJO564pP2GrcTHnuXW8uvxirnxoKDqDmqMScCFC/FVoqHVhCFNj9/sw/KdW7TE6xbJrL4I2Oeh8R72N8AgdsrcWQR2PVZaxmZU0NkhIktwut/W/wRqfxv5VC3DUVmAMT0Na88rvvrf/NdLzonh1+UXs3VhBS7OXjj3i8HkltAY1i5/ayPBbo/nJVcshj5O7WMPw82N4Pawry7b6+GCJk7svCHiai6t83PaqjZ7TexMDmNUSeWMvYPfiOSDLqMOs9DjtXNT2YiSPC2nTh6itKXQZMI7EfuNpaazDEJXIoWWf0lRRiFJrIH3E+Si1BsIze6LSx5KSmwEf/Kv9DTQ3YjW2TcNSBk8iskNAokup0RPZsVegP50RUa2lZu96dBFxxHUfjqepEbXJSnNj+xxkhUqNx2Fj23sPYoxOIr7nqFP6bxDi5CJLfgxRiaj0wcXjtOYolAcWtW/0uJBspcjaOBJ6j0UfZUVYuYWs0edRU5CMs6oEgOSBp2OOjGH41GsxWw2ceUkqpoQ0asrt3DP5Swp2VHHOrCFEDlBT621LBcnWheHZa+eSc+fhbfEx9sLO1JQ7+PGLPSj9XvaWyIzvq6fFI5MSLTDvZxcpMUoq6/30vKojo8ankN0z7je/F0P8rXACnQRB0Mmy7AZGA+XH7H8YWCLL8vMAgiB0OU4fJ41fM4r/v0Sn354E9TfC5Wih5sNC7hmRzptyOQIw1GeiMUXNZz+5eGpO2yrq1NEGynceJkJhJbd3AujSGHjbm5SunY/s8xCR1Z3SNd/iawloD4pqLZEde1H6c0DVKjK7D0p9GBbbNgadNgF1Wh+UKV3bxlJ7OGh8jSV78Ths7YziECH+WxThKRCegrvOT/H7bvZ92EyXc9Q8/GUjC9a3he1fPNaIIEOMRSDF7OaFB/YzbdpN7J7zaOsx1vQuCGLb5Ky+/DAuh4eCXXXce+F8Xl96Dv4NVkQK241BHxnJyw9sw1YT+H8hy/Duo6t4+tvzgwxir0+moNxLU7NMWqySSHMolCrEH09DtZOohDAafV70x3qKZQm8blDpkCUX+OpB2d7b4mvx4G32BN7Z3lpQxyMCJiUoNQIOu4zZ8tsmf4JCQXR6LsVbVpM3+hxoaUJ21iEYgtUTQrTH4fJjE8OIHxBGZoIKlSDx9PU/MP+9gLd92pgkwrvGscBVTZbawNkNZr55eQUp5wxl+0EP2w+2TYF0GgGrXAVhMahEyGj4ibipV+PxSejlJrRbX4GUfgDIVfkoMoeh/+5awq78HltCFq66Cmr2rEMhquh03m3s/eZlWhprEQQF6SNuQqFMAqU2oHV8DGFJeQx/4HNEtRZjQgZqXcBLrVCq6DD+cqp2rEIdZqWxLFCAzV1Xgc4STe3+zaQNncz2jx9vVa3QR8SjMYaTM+kGfB43tfs2h4zivwnO2nL8LW7URisxnQbicdlRh1kDqXiAICpJG3Y2wuJrg86VZJGKfdvZM/dl3IMmkJvUD8Oy+xg66DKcmvGI5liMDXtRzL8cJB/C+W9hzR4LwKHdpRTsCKinLHhoHY9+fhrvh9ey1dPISEsMM4xp3N3xHXzeQCTMp7PXc/nMIUQlhGFQ+qi3K7jjdVu78VjDFIzsqqJr93DK66GwDjK1EjrNfyuWE+JUcdMd5guAx4FkoAS45/mnG0+GbvECYALwJTAFmAMcDXeNAxYfPVCW5R0n4Xq/yK8ZxV0FQbAfp10A/tFZ74UHGphz32rCYwxce3kgL+yHtxdx+zeXk5Wg5EB5ILQqyqJg2kg9P83KJyuzF6UF9cQmG3DXV+H3uNGEhaPRaelz3b9priqAZgdWsw6NrwTDZXfhFvTUFuzAnJDF4YJ1xHfuhNfQDZWi7QWgj4wPGp85NRdNmDWoPUSI30LJQg+rpge0gHtO0JIep2yVPoiLEOnZQY3D6eXda5rxNrhZ8c0BkFK4bPqreOsOoAmz4vO4Kf35W3Im3cDer1/CI5uBQN673yexb1cjkd1vxVo5FdkQg334k1S2JKLSm+ncq5Ada9oWBV1NHmRJoqhSwuGSSYoWEYDXvnPw4PsNeH2Ql6ri43uj6JQWLOEQIsSpxFbjIi03inKfF/2xnmKPE5QB/WLJXQKqKBDaT+Ic9fXowowIKjNyczFHzd9I2Y/aHNAqNlt++8QvOiOPvT99Q96oswMh1BW7EDKHnsBd/vM5VOHllpfrmb/ODcDFYw3cNVHkh/fbws8/vHwJM149jR4NZmr22nhvzgZ8XolHLunPtWeE8eq8QLRMr0wlj5wtoFKn4h/1CMK+xTT3vgZHTRUKhRJZoUTscxn+RQ8B4B39MHafGv+ghzERxpZ3HyBl8CR6XvEYtkM7KVz+OS2NgQA9WZY4+ONzGMwDSB92HyxtU8IUUvohJnUnyhR73Hu0pOQw4pGvaaoopLFsf2vay565L5I+cgrayDgG3fEOjsOHkCUf+sgEilZ8SeW25aj0JnLPvglfsxOlNliuL8RfA1+Lm9K137Ptg4fxOu3E9RhJ7jk3U1+wlZ6XP4qrrgJZ8qOPiCf/u9exDrwWzYq2InByZB5eUyq7v7oHgIJV32G54FaMfW/GWXsYrSWaMF81itXPA+DPGkejMo6WDQsxxqQgim3fYFeTh7cmfkufSVm8PHsU6TEWXrxxYatBfJSfFxzgojsH8v69i7h/9hSmPd1As0dGoxJ44FwNKWIjtw5p4cdVdUx7KVDc8/LxRmZOsxAfGSqy+WdxxCB+Ezia05YCvHnTHWZOgmH8KTDzSMh0F+Ad2ozil4HPBEG4AVgKvCvLcrCn8CTx/z5hsiz/z7pjapoE9EY19VVOvn98Q2t71bp8nr8+j5pGGZ9fJk7n4fCybdRWNnHDyA/RaJVcfn8/ol3v0bhvOQA5k66ncvtKwuNTSM3KQNNwCEV8Z5TaWDb/ezoQCJ/eO/cNmhxeErv3Q39MFLQlJZdO59/O7s/+jSxLaMyR9LricdQhL3GIE8DbJLHrFXfrdsWjzbwww4x9qkALPpIiBcKVNiyeQ9TuXI4cOwS1RmTFt8WMmaijYcVr+D3NBBTbQG200OHcx3jx6ap219Fpmpm3SEnfHh+iTc7g9Ue3s3bxclRqkSk3deGGx/vz0j1rAbjoviF8/XMLN7xQT0OTRK+Oau6fZuHetxta+9td5GXmuzY+vjcqtHoc4g/FVuPEaNHQ6GtuV3maZntb6HRLMaiC01gctQGjGIUB/E0g+0EQCZdlPBaR+jo/aRm/fdJniIhBVKmpKconwpqCXLUXQkbx/8uXK5ytBjHA+4ucXDjAhDXaQG1FU2t7xX4bC9/eitPeJmf08KjXmb36UkZ1taD2tbBr7mYemrAFSZIZPy2PC6+8lK2vX4bviG6wPiqRQWech77FQfPYp1m/ZBG2wt0AqMPm0P2Sh9gz9wXc9ZV0v+RBDi79OGi8LU0llAvTSLmiC1LxeoTILIS0AQi/YBBDoPp02fqFVO1YSea4i4nrPoKKrcuQJT+NJfl0mHBloBhnjxHYivaw9+uXqNy2HAjkJG//8BGs6Z2Izu13Ij91iFOIrXAXG1+9rXW7YsuPqA1mul36EB57PRpLNGufvZakARNRG8xs27qLnJFPoHOVI4TlYGvpTcPela3na0wRNPsVbHru5ta2hO7D6NZpMoIssU9K48ATlwMgKER63/ASqTmRFO0NLOJIkoxZoybTakIjisSlBM9R49MtVBQ3cHBnDQtnzuW7Z8/hYLmPDoYmXp4+l6/31WEK13Hl0+NIizFRWCXx1vwmhnbRMmVkcL5+iD+Mx2kziI+iP9J+QkaxLMs7BEFIJeAlXvAf+xYJgpAOjANOA7YKgtBJluWaoI5OAqEZ5S/w7U4F02YOa9fWa0QqSXlxnDGzltU7m1Hvy2fVGyspyq9h++pSAFqafbxy72pIOKP1vL3fvEJ8z9EcXP09y957kR9//JlNq9dQV16GPiIeUa1tDWE6tOwjNPqdyP42oXKV3kjHiVcy+qkFDH/wc0Y9/h0RWd1P/Y8Q4h+JUyqg1r8Ep3YziePbQgBlH5Q+3UzHvTBQvQTl0puJr/qOiPwPyMjOxmiUuOiu/mi0SlS+cnwtrlaDGKBy+wr0iV3Ys6mtDEGHrhHonKtJUXyALiGKBZ8WsnZxwIvs9fj5YNZWohPNdB2YyOOfn4MyMZ5pT9TS0BTod9M+D9sKgjM1Fm1spqbx9xUnChHi99JY6ybMosXm92I4Nny6xQFqPTKApxJB1T58WZblgKfYbAJBBFGH7A8EYUUi0RImUvc7i20JgkB0ZicKN61EsCQhV+76nXf3v4HHK/P1KldQ+5yffVzz1Jh2bQW7a7jsoeHt2jr1S4DDRQzbcSny9tXMfXUzfr+MLMP8D3azZkVjO1kjV00Zh+0yjhnfU6UIazWIATwOG+UbF6HU6vG5m6jctry1WNaxCHIsrkYTiuyxKMfOROw5JZAC8ws02+tY/9LN7JzzJNW7f+bnf1+NJb0zIx6ey4hHvmbg7W+1U6fQhFmp3L4iqJ/jFWwK8dfBcYxs0lFK183H724iLC6VyA496D/jFdRGC+kjLiC+522UFQ5gy88zmHPhGdSUOTg2Uyl54L/YP//Ndv2Vb12OrdtkGvtezIHFrfWQAjVE3r2HZ74YxVnX9CSraww3zx7DNY8OR6MLPP8DJmRhjmiTFtNolQw/Oxd3k4dZ885j5ntnEq7249uygxev/5aSfQFZUXu9m9nXzOOaQW367T9ta1vECvGnEFwk4/9v/618CzxDIHS6HbIs18uy/Iksy9OAjcCQk3TNIEKxCL9AVpIadUsc1z0xgqaGFrR6FYeLbBw6aEcphjF3tZv73+jOkLOjuKzbl0HnHy4XMKk0+L0tIMtI/kAla1mWaLHXoY9KoKFsH/qoBDLGTKVg8YdAoNCFsG8essaDkD6otT9RpcFynI9liBC/hXppNdt95+En4MVImHEVqcU3UPRZ4MOlNgskjtJi7vgv4q1KFB9PCSzYRGSybmsEW1eWcel9gzHHVfCfwh2m+HTirS4WLY3HI5iobomg+sAmqle/AbKMv6WJVQuCo14O7KjjhcXTUGuVfPZT09H1oVaOV2+rV0cVFkOo+EaIP5bGOhdGi5aGGg8RqrbQQbnZASod+BoBARTtF9TddgeiSoVSHZAUExQG8NtBaSValthpUlJX6+P3Ep2Rx6av3sDb6zKU+xf+7n7+F1CrBEZ017JxX/vFtjh1M+ViOBe+dD7+WhuiQUuxZOHjEgX//n4KO9aUotEqqSxt5PozlzLrg+ms+aosqP+V8w9z/uhcavf83NrmtB2mMHIp8uGsoOMbivdgScnFdnAH5RsW0WXqPZSt+47sPoPRSU5EazolW2OJG/nf1zZ1lB+kvqC9rM7er54noecowjOC69SodEZM8ZnUH2x/js4S9V9fM8Qfj+Y40l5hCRkodYGQd4WopKWhhj1fzgYgb+L7bH0kjy6XNjDx+S0Y4xpokg3knHk9+fNeRaULw9PUENSnw70PuVkOavc4bBj0PmbMHo1cugmhcDkUb0RSDUER34WMTtG8vvIS8jdX4HZ6cDQ08+8bF2KrdvL161t48qvJVFsSicxNoqxgZbu+/T4JockBmADokfGPru37d6CEQMj08dpPBu8ADbIs7xQEYdjRRkEQRgDrZFl2CYIQBmScxGsGETKKf4FxvXXMf2sPHz+4DFEU8PsDL4SMTRVMPud0DlVL0NKC27SczO5WtixrbyKERwq07A98dEWNLuANPoIuPBZ9eBwacyRel50DC9/DfUQbMHfMeWh2fYzfWYbiGKP4r4DHaUchKlFqQzI5f0c8ci17fTe3GsQA5eIbdHlmAtF5vVHpIXagmvBcJbJfQlr/ZmsEQ6NTx3uztuJyeNj8UxGX3JpNckp3HMUBXVRRoyPvzOtRvzsOvG60gDGxF5r0KWj6n07dvk00V+fTsWscFUXtP7pJWVbU2sCrKMoSnLFRXOXlojEGPlgcGLc1TMGsayIwGf5nsztC/Am4nR4kSUajVdLg85B87HuwxQFKHbKnEpTBtR7stXXoTcdUhBX14GsATQqRskSjWUlN7e+vXanWGbDEpXC4sp6k6vxfP+F/nKmjjXyz2sW+ssBCRI90EXN9OQ5NLHd+pUKhiEaSACSeulBJRVEDHz61BklqMwzefK6A0WcksWxeUbu+O/WOwl1b2q7N0i2FYt4mqeMI+L79WJJ7j6GpPhAJKPm97F/wNqMuvBLF3GsCB2jNZGaOprJsBIKhL9bU9trXHqcdhVKFUqPjV/mFiv4qfRhdp93DysemBRbygei8AVjTT2mh1xAniDW9M7Fdh7Z6+RUqDd0vmonaYMbv9dBUWYhCqSbn7BtpqiyhfPcsTv/qHsI23ouwJZCyZFVq0Ux4AcU5N6ELjyMypy+1e9e3XkMQlShjFYCAoBCRpTbvrSmpI7rwOISSn/G/Ni5QcBBAa0J53VIU8V1JyY4kJTuSL17ZyCt3L2s3/rcfXsnNL02gEg+mcB32+vbeYNEQeMf2yRLJMjqBUMrgn8g9tM8pBnAdaT9hZFkuA144zq6ewEuCIPgIRDe/JcvyxpNxzePxpxjFgiBMBh4EcoA+sixvOmbf3cDlgB+YLsvyouN2copJi1Nh0QU+gEcNYgBPs48LeviprPbgb7FTF/0+Fz5yM/s21bfmHfUdk0KEtojDsozWGk23C+/CoNdivvZJGm11+JudCB4HMcm9aJY1CC0OHBWFxKZlEl65CqGhGDyn9mPkrC7D3VCN1hSBMfaXw7AAWuz1lG9cxP75b6MOs5J79nSicvsiKkOFjv5O+ORG3ASHw0mGarre1H6ho6FwN3qPs7UYkOzz4j+mYMZ7/87n3GumMO6Kq6gsrEYXnojp56fxdTgNV2QXBKUSrGlUrJiPvfwg8b3HEt99OP+yaNmyqqL149dlQDwdulqQJQlBoaBrhppLTzPy7g+BvD6VEiYNMtA/T8NVE8OwOyUyE1Skx4dWjUP8sTTUuDBZdQiCQMN/6BTL7kYEtQHZWw3K4IlbY3UNkYkJbQ0KA7InoGqgBtRmkbJDwZ6Y30J0RicKd2wiSeNFdtYiGCJPqL9/Mjkpapb8O5Zly6upKbNj213Ml49uYNx1AxmSm8XKPYGJ/1UjlRR/+hPGPvHtDGKAuoom+k7IY/5nha05lbHJZgaPMeMvG0zRiq8QVRryzroKe9ZSwIcrayNZk6dy8JsvkLwtJPYYRnJWBmLaxcT3HoWj7ACx6R1RzLsCb84kbFG9sNfXE2axYolJoHrvBmRZIDwtl+bGWso3LGT/D++iNUWQe/ZNROX2RSEqMSVkEJHVnfpDO0kZdCb6iHh04bEYoo4f6ShJfnTWWIbOnIO7rgKV3oQ5JSfkKf6Low+Ppc91z9JQshevy44pIRNTYgecteXU7d+KLPkQBAGdNRZnVRlZp11GTeUm7PFjCU8bjn7NLPA1o9/2DtrUyehEH93OuY7d36qp2L4KQ0wSHS+bRkXcSwgo6Xrzrex58008DhumpI70uf5Z1Do9vmX/bjOIAZrtyPuWQHybioq3OTgSpsXt48DGMt5/cg0X3tafN+7/qXW+ffb1vYkwK5h1ejN1OwpZ/5mPkaMSgvoI8cfw/NONn9x0hxlOcvVpWZaDEsVlWV4OLD/y91nArBO5xm/hz/IU7wLOAl4/tlEQhFzgfCAPiAeWCoLQQZZlf3AXp55ug5NRqhTtquedcUV3bHtL2bWsiEnjzyBKMZHSHrfz9JJ3KNmhRPbLZHaNJE53GLPpBjzORja/8yAKUcnQS2/FbBUhojuaAwuQf3oEss8go0d/pC/eh5Xvtr5YxAFXn7L7qtyxinXP34CnqQGlzkifa58hofdYBMXxU8zLNy5i0xt3tW6vfHwaIx76ksiOwQLvIf66qIQozEJfGuX17dp1QvtFEWd1GaueuZohk85HX7wOgMiSjzn32sf48Lm28Lr5nxTTZ8Ik5nxYxeChNnL6D2PL+g3ULHwNgMS+41EZrTRVl2B36qla66CuvpmHP/oXniYbfk8LSvtadj43gfCZnxKV3YsIk8jTV1u5aIyRukY/mQkqclNUKBQC/XJDnuEQfx62Ghdh1kDEj93na28UNzcimOLAux9B2xYi65P8lFSV0CA7idMf48kT9eB3ADIgYDVBze/MKT5KeHIGBWsX0ZSZiKUqv136TYhg4iOUJCnsvDzji9a2ha+s4c4P4rjvklSa3BKWhkruvO8QPYamoNEqaTlmYn/a1M4gqnlh0YUc2l2DJMmkZUdQtmQWgiwx5pIbEOzlKNnLTnXAaK4zLEB/ekc697uIcHtnwla8iio6FaGpiLiCz4h12ZCyUpHCM9jfEs2Bj9oc9DHjugAAIABJREFUJ0l9x+HzeGhprEUfEUvZuvlseWcmAI7yAlY+NpXhD39FZIceaEwR9L7+Wdy1FWx5dyZFK75EUIh4PALNhn6UFdqJiDHQsUccRqOPg4s/ZM9XLyD5PMT1GEm3i2eGDOK/CVpLJBZ1P/ZtqWD7j/WYzDtR2lYQGWtolfZSmyLocsGdbHxlRut5+og4Bo+9Fd2qJ6HuIKkDo5HWvYEQnkqf06fgOPtmnBHbOGR6oDW6rKL7swx64kOULiu68Fg0YVZkjwuc1UHjkp117ba7DU4Jmk+POjeXzcuLmHR1D757eyuX3jeE6CQTOoOKua9u4quX2xyCD3006WT/dCF+I0cM4JMhwfSX5U8ximVZ3gsEaZECZwCfyrLcAhQKglAA9AHW/rEjDKAzqLjhqVFsWHoIe72b/uMy2by8mAkXd+G6x0dgjTagkc6msaADD5y1iZrygHdLo1Py5MdD8FQcoHHfNryuQEGVmlobiekZiB9PRj6iN6g+sAwmzUYceRfSlk8AGXHITQhpA0/JPTmrS1k3+3o8zoDOss/dxLoXb2LMUwswJWQGHe9x2tn3ffvCC8gy1bvXhozivxkqwURHcRa7fJfj4gAKdHQQH8ModGp3nLuhmmZbFTUeLdFjn0a7bx6yUkefrmmg0rNpWSGxKRY69UvgpduXcu70Pnjcboqrd1Kzb0trP2XrF5B79nRih07nzde1FOxcBYBCIfDAaz1x/HRTa6he8covMSRnotEYsRqVDO7c3gAur/Wxp9iDgEBeqoq4iFDmR4g/lrrKJkzhOmRZpsHnaWcU02yHyAxw1oPRDIDP72PV/nXIXj8+ncTGwzvpFpeLRlQDaty2BERZgTZCJsKkoL7+xIxihUIkOj2XEnsx5up8CBnFv0qXgUlMmdGPz59fj98v03tUGj37RiMZleSXerEfif5aPGcX9737LxZ9sov6qib6js6gcG8NX7y8gbtfn0hUgqm1T/34y9jy7gPIiRa0617EnzWSDjU3szfmGZzCHpqFEgxGNcad6xGH3oIgS/heHQ1HwlJFlRZHl6kceP3xdmMtXb+QvtNfZN/3b5DQe2zQd1mWJWr3bSKyQw9shbspWPwR7rpyHEeKZWmtsWzZHsZL97dVtx5xTg5X3ZXBrs+eaW2r2PIjpvgMulx49y8ulP+3SA3lyAeWIe1fiiK1H0LHsSgi00+oz/9lZG8Lcsl6pG1fglqHosvZCMm9WfLZLh6/oi0uf+BpqZwxrrBV2iu2yxDy573ari9XXQUNkhGdICDk/Qv/kkehZh/yoVUI+Qtp7nsv7rpm9N1zcIibEFASz8WYI7NRCW25zIJaj2LwdPxzLm1tk5L74O9ydjsDI7tnHM8tuIBPnluH48h8etf6ctb+UECv4amMuaAzbz20gjten0hun3gWfRyov6BQCJx5dU96DPv/IxpDhDgZ/NVmlgnAumO2y460/SnY693MnrGY3D7xGM1aPnhqDS1uH6POyyOza0AKQa9I48CP1dSUt+kbtrh9fPVeIblnSYQnDiGpxUDpd+/R7HLjK92GeMQgPoq08kUUKX2RTIk4U0fgadFgqK8mLDb1pN+T21bdahC3Xt/bgquu4rhGsSAqUR2Z5B2LShcqjf93xKToQi/VDzTLpSgJQyekAwIlZVvZf2A5kiyRmdIPY3w6zS4XSz59nejsXvi8HuqbCvjmjQPk9U2g9EA9P321F0GA6jI7Sel6KnavC7qeo6KQRtUECna2ZkggSTLvPXeIqy45neqNX5I88WIqwnwsfmUMSQndGDbkOpISurUen1/iYdL91a3a4J3SVHw+M4oOSaHw/RB/HPWVTYRZtLglPwpBQH2sDnGzA0QJFBoQAp/VXWV70al0aB0tGKzR2GQXWyv20Cu+M9Ubcmk63BtZUhPZuZbYTjaq3RJej4xK/fsLyMVkdWH3D9vJK99FKK7i17FGG7jm0eFMvKQrPo9EfIaVgzUCE6ZXUlnv59GzDGj1KiyRepZ/nU/tYQfmCB2fzl6H2+klr28CPq+ESt32a5sSMhlwyys0NxymIDadH9e9Q/Pc5xja/0rSLQYM4TGUF5SxobmGVE8TnYtWtRrEAPKe75HyphFUcRBwlB8gZcC/kGUJlcEMtM9dVukMtNjrWffCdGK7DaF2X9t719x1CrPv2NPu+GVf7uW0yXFB1yld+z3ZZ1yDxhQRtO+/Rfa48C98CHnT+wD4t36KkNIP4dIvEIzBkmUhfh25cDW+N8a3bkurX6F26iaen7Gk3XFrfihi1IS2wqxqfRgehy2oP6/Ph9xlMgpDBHLNvrYdTTVYDQoaSiVi1dcQqbMRntIVs6E7CiE4dUmRMw7OfQP/+rcp73MpP+UvpeqL6+nbayrdu56F1ZKAQiEQnWiisdbVbj4N0FDrpii/ltzecZRLJvJtWh76aBJlB22ISgWJWeFoNH81cyXEP5FT9pQJgrAUOJ6I3r2yLM87Cf1fBVwFkJx8siqCtyc+3UJknJE9G9oq5kbEGqk9bMfj8aM+8iGsKGoMOrfikJOsZh/Ldr5Jt5zTScrpjS4iHtm9L+hYFCKSJZlDdRK7nr878MHThTHw9jeJzut/Uu9JY4pAqdHja2mTpBAUItpfCJVSafXknX0zq568uPUjrTaYiTrJ4/qn8Uc8n78XtRCJWmjLNywq2cSLr43H5wt4RURRxVWXf4xn53YUopLKXYEqqonnXInL0cK6RQdbz+07NoNtq0ooOaBnwqBeNJa2f76N0ckUlQTnElWVNSEa4rB27Em+v5CtP38baK/ex578xcy48UeiIjMA+HSZs9UgBthV6GXdnhZiw8VQsa3fyV/5+fyrUlcVMIptPi9h4jETQxnwOPBJzawuH0miL5z4sDION1TSJS6HysqDaPV6YgU9XsnLjuIywqoGENdjJbIcTsWWHlhi3fgtAVmm2Ljf/0wbwqNQafVU7dtM4onf8p/CH/1sqjVK0vMCRlpjk5+FG+zUNASM1OeWCjzxwjl4DpZgtGj58fP2RuXQM7PbGcSyLON1N6HUGqh0VvHGZ1cjH/lufvzVzZwz+iHsB/exeHnAM7t11zwyO41He2ynsoSubifm5BwaS/a2Nusi4vA67VTtXEPSgH/R6dwZrH7qsrb7CLMS2bE3ztpyHIcL0EfFY0nNpTY/EIIqCQZcx6ks3NwSPA20ZnRFPMGFb7m2oNUgbm0rXodclf+3Nor/rHen7PPiXzG7faPfg7uqrJ2O9lFavG3vqIqtP5HUfyIHl7RJKgkKEV1CLrVNUUQtuzXofE9TI3vmvgyCQPrIKRjlPBSdjl/LQ9CHI/a5mOrE7rzyyjg8nkC49bz59+FwVDPxtAcQRSVRCWFYowysmX+g9VxRqUClFvl5wQEe+HwKV3+iIKe4kQ43RdCh2y/rcIcIcSo4ZTrFsiyPkmW503H+/H8GcTmQdMx24pG24/X/hizLvWRZ7hUVdWpyX1pUema8OJ7snoGV1OyecUy7cwClRQ5Uqrafru+YjKBzh0yOorB8OQDb878n+ewrqd79Mw4xHNSGdseKPadiV0ay8/sPWnVfvW4HG167neaGk6tPbYxNofe1z6A4UiRLUIj0vOJRwuJ/OaQpulN/hj/4BXmTZ9D9kgcZ9uDnWJKzT+q4/mn8Ec/nyWLz1i9aDWIAv9/Lpt1zSRs5ha4X3Y9wxCOmqF7GA28NJjbFjEIhMHBCFp37JbJtVQlhRoEO/Ya0K9oWldsfU1IH0jqGBxU9nTA1B9meT0TfEWzb274cq8tto6IyMBmUJJnl29oiK0wGgWeusfLtWhcDb6zk6U8bKK7ynuyf5B/P3+n5/KtQe9hBWLgWm8+DSXmMIeFzg0LJN7uyWVEygFfX9GFjkYtoUxTuRju6MCMoBARBIMEQj6PZhZy7EoVSiahqIDynlqaVCXgtSgpPMK8YICYjl6LC0l8/8C/Kn/Fs1tv9fLjEwYhbq1i4oZkXbgzn3GE67C6Ja+coiRnWjRaXlwtv64/RrEGjU3LWNT1J6tAWRuqoKGLnZ8/w431nsvPTp8nf/2OrQXyUdXvmUlHTZujaHVVUWlNAbG9seFUmuky5neRBZ6K1RBPXfQQdTruMgz/OQfL7UBtMxHQexPAHPyfvnJvpfulDDH/gc8xJHVDpwxA1Oqp2rCKx7/hWb69Uv4Uu/ePbXUerV5GaF0dkTp/WNrXBTM6k61GqNCf2o0rHf5aPrV78d+RPe3cKMnibg5qjxWJ6jUht16bRKknLi0M88m/orC0jPKsHOWfdiD4invDMbvS+7hm2zZnF9gUf4ul5abvzZVMcTcKRRRFZ5tDST/C3/LpOcEVNQatBfJQVa16joTEwjdcZ1Nw4axRDzuiIIEB8moXrnxzJt+9sJSEznI01Oq4704xGrWDcXdU89L6NQ4dD3/cQfxx/tXiEb4FPBEF4lkChrSxgw58xkBaPxMMfNtDRqCWzawx9x2RQtLeG959Ywx0fntsuH7rzgETue/t0XrlnGc1OLxOvSkcV/zOu/EC4iiiqKajYTExmR/asWcKA895H7bEhlW9HSOqJtPFdnNHDW/tTiCqih9xIgyeRtUsO06GHkoSMYJmP34MgCCT0HcfopPm46yrRWqIIS8j4fytJi0o1Udm9icrufVLGEOKvhdNZG9TmcNRijEpEP/QcwjO64qwpQxcei72imPtf6squ7QrWLCjgzQdXYArXcebUdCy13zFkYA8c8TfgkdXUH9pB6dr5dL30CZ78LIzZd6ygrsLB6VNSmDwgn0ilFltef5Rr1Hj/I6VAqWzLJ5o8zMDqXQGj/Y7zzTz8YQN2Z2Cyec9bDRRW+Hj+hgjUqpBucYhTR21FEx26xdLg82JUHPPpdDdiF2NYc6gj07otY58tm+WHenJpnxZq9xdiiWnzijkPR2JtjKEidhURQle0fjf6aCeOEhNKg5KddXCiMThR2T3ZuGU1LbYKNNbg0NgQwXy31sXls9oKA63Z3cJL0yPokq5hyeZmFDoNA8Zn8eBF3zDxkm6ISgX7tldy/s19AfC6HGx55z6qdgTqJhTZ61FMOC3oOjqtiQhzLoNzT8fVKBIW1cLCPV9w8QUfodoxD4UpEjl1CI7yEuq3LaPD6AsQ1VrspfvZ/tFjAGT/65pWWcSonL5E5fRtdw1jTArdL3mQTa/fya5PZ5E++kLCYlMxJWWTMjGBtx5azapv95PRKZpbZo8ls1syCamvYC/dj9/jJiwh86SkbgmRGQg545H3LmhrjO6IIjq0oP57EEQ14pDp+A4do+crCBhSOnDri9m8+cByVnyzj7TcSKY/PYyoyBri7vsIr9uJzhKNrBBotteROvxcbId24mt24a6vIjKrK+6YniinfIKiYBEebQyNccOpLGwvBes5Uhvn/0MpBs8j1Wo9imPelykdI7n1+bH0HplG/pYK3nxgOV6PnxlPnEaJUsvTn9qpsgUWTh75sJGdhzy8f1cUBt0p8+GFCNHKnyXJNAl4EYgC5guCsE2W5bGyLO8WBOFzYA/gA67/sypPF1X5+GCxE1EBt47tikdqJK5/OKOuH0J2l/ZSF4YwDRMu6Ua/cZm4nHbmL7+ZbfltSlIjB13Ljl3f0afDaAYN6oH42TRkvxeh7+UoErog2MdioC1vN3rUfTz7kI2qsj3AHqzRBl5YdCGZXWJOyr0pFCLmxA6YEzuclP5C/L3p3XMKm7d92a5tUP/LEQQBUaXGmpaHNS2Psvxi5n9TTPduh8nL1pOc3JHzLrCQbi4mPv8ehB7no4vOgYgc6suLiO02DEtKDjpLJAM6rif3/oN4NLFYy55D3LITAEP2RMaMup35Cx9pvXZcbB7xcW1anBP761i3x8CcZU4sBkWrQXyUd35oYsa5ZrISQjJNIU4dtRVN9Bqho8znwXisp7i5gS1NvUg1F2PQKkk2H2RN4WCanYGwVZX2iMdNgsaSGMwpVYhiPAe8+8iTIxEFsGTZUG7Ssr/mxD93Kq0Bi0GkdOn7ZE6+69dP+B/H4fTz7BftJ/ySBNsPepi7ysnMaRYG5GmJshh4eu65HNpdg0otcs4NvYlNDny3m6qKWw1idZiVjNFTEZMzWbn5vVbPmSAIDB98E/NeaOS7N9u8xTfOvpo6SYlPlUmSsxjx4/OJEVVED7wBhWwjZfAkDvzwHlF5/ckadynRnf//IpyCIJA86EzMSR1xVpegtURjTslBY7QQBTz4wZnYql0YzBrCLIHAbZ0l6qRXmxa0YYhnPoucNhBp59cImcMRe12IYA4t1PxehKzhKC+bi3/VS6A2IA6+ASG5D6lKNTPfPxNblRO9SY3JqgM6tjtXlmVEQYG9vIDwzG5YknOIT89CXPUswndXgiYM14D7mf1+OIu+XENuryimTb2W6tWBAl2G6LYgTo/LTmPJPjxNjYTFpRIWnxFwuMR3JiI8hbr64tZjJ46bidXSvjRQdJKZYWdlk5hhpfvwdA41G7nlawWXnia1GsRH+WaNm0OVXjqnnWDkQoi/LIIg3AtcQECKVwKuBq4EnpVleY8gCJcBtxBIVlJwJA1XEITlwG3HyvqeKH9W9emvga9/Yd9jwGN/7IiCUYoCGpWAu0XmyfkSEAbAo/FauvY4/jkRsUYiMHK25UkOFIzn8OFdJEVm09FRTsc+FxOlt6KuPYA87BZwNSCtewshugPiiNswux1092rYP/9tCoqs1FW1RY3bqp0s+GAH058Z/QfceYj/NdJT+3PFxZ+wZNm/8Us+Rg+fQVbG4Nb9vmYX9Yd2sHVZFR/P3sE8s4Zn3+7EgO2jQWrL9ZU8TYiXf4veUYEuQodgiUYwBcILhbAoTLvaV7/EGIXfDwP7XkZcTC4HDq4iNroDHTKHYjG3hfmlxKh4fUYEd19g4ufdnqDxa9UCsnRiGq8hQvwa9ZVNmCN01HvrMCqOySN129nS0ImcqC2gsGJ3lxFtqGR7cRSdwis4mjvgqjUjin7UhmasxNIkNVIi15Em+9BamjGo1BSVBOcG/h6io8IpXPN9yCj+LxBFAbMhOMpEqxbweAOLbtPGBFKeUrIjSckO1n9WKFUIgoLk3iPJGzoeZ0UBDQd2cd6Ae6j21+AXBXJzxuCpT+K7N99rd+47M3czaM35xBjXIi4/koMr+RCWz0IRm01E1+FozZF4XA40BjMqrSHo+v+JUq0lIqs7EVndg/ZpdCpiU4KLZ54KFBFpMOI2FEOnIxzHixjityFojAi5ExA6jgVBQDjmPaTRKo/779pUXYqzqhiVwYQpPhPzkdQ3WZLwr3kOadc3CF0moYjthFFu4Nrp2Sz9ppg9m2qwnd8ZQamm83m3YkkJFO5qsdez45OnKPzpUwBElYZBd71HTKcBRISncPVlX7G/YAW1dYfomDWMtJR+x72XyLgwIuPC+HqVk1seqgGk4ynSoBRBJYaiwP6pCILQH5gI9JBluUUQhEhALcvyFUf2JwL3HtnfKAiCkYBD9ZTwVwuf/suQFqvk1skmHv2orYhWdrKKpmYZxXH+4wI4GprZs6GcAzuqSMvpTzejhq2v3Efa5XeQ0lSJvH8J/j1H8ictSYiTX0Pa9gWKfleg1BoJz+xK+tipJPsP029Zd7Zt8fHa7bvwevzs2ViOJMkoFKGXQ4iTi0ZjoHPeBDpkDgNkNJq2Ait1BVs5vGkpldtX4Im+jtcWD0LhLCAzsgqsKSgSuyPXHEA+vB3ZZUPe+Q3+uTcGjGVRjTD5dZQ9p6CI64x/3KOwaGZAi1ulwzXkHsSodAyGcDrnjadzXqCqZtlBG4sW7aS+2kl2rzhyesWj16nITdWwr9RHZoKSgmMKb113RhjxkaHQqhCnDkmSqasKGMV1NR6Mx+SANjscFDtjGZNRDkIk9U4bieZaCmrS6ZNa1HqcoyQaXVTgeyIA8cp0Cj07sHhKsWrSiA2X2Gnz4feqEFUnlltsiU2kYMtemiqL2+X5hwhGr1Vw71QLE++pbi34HKYXiDQpaHRKqETweiTQ/XIBNENsKgOufpiIg1+j+HQKasBiSaau53TK5s2jx6WPEGXJYNPO4EJXTnsLPrcDdXMNdJmEfGA5uAOpV759S6n2R1C65lvK1i9A1OgYePvbGKISaG6oRmuJPiUqFSebkEF8chHE/27qXrt/C6ufuhTPkQJrHSZeSc6kGwDw1Rah2joHxeAbkSt24V8ciNayRmby+MuPcefVO3E1Gzjtvg+wZPVCoVThrCmjateaVoMYwO9tYfOb9zDyka/QmCKIic4iJjqLxjoXu9aVs/m7naR2jCS3TwIRscHF246d05ZU++iWqWZbQdvi962TTWTEh6LA/gq8aa65AHgcSAZKgHuubIw6Ud3iOKD2iBQvsizXAhz1AhPwHDuApiP7m47+/QiTBUF4BbAAl8uyvOpEBhMyin8BhULgrMF6tBqBvcVeEiKVyLJMTrKKCHPwx9Hvl/j6tU28eu9PAGR0iubKC7djjE8jf8sG+gzoh2LPMbqDDaVHQoqG4i7ZTnV5GU2VRYhqLWUrvsJtq6LDtOlc+khH3rhzD+Mv6hoyiEOcUjSa9h4IR0Uh+XNfJvO0i1HpwwjLiMJ+YCPGuFTQSSjSByEVrkGI74zY/TxkyY//6+lt3mO/B3nu9bRYM9Bm9EUx8Bp8iX3w1BxCMkQjRGUFhfAfLmrg9jM+pWhvW57zI3POZtS5uQCkxiqZPNSAzy9TUe+nY6KKXtlqjLrQqyzEqaOh1oVOr0atUVLnbSHW0KZLe7BaS7TOhlqlpNnbgiRLxIilbPeOQxBXAOB1amhp0mFKrWg9TymoiBeiKPBsoasqhphIkd0HPWxfnk2P0YUnNF7RFE2ktZSilXPpdO4tJ9TX/wLDu+lY9mws36914fXJRFtEZn0WCKm+oKePTQv2MXpKp188X6nSEGNWI+XPb20TGkqwHl6JMSoRR+UhFApIyOyHSi3i9bSFiPYdk0qcqgiq94OzBkX/K6DuENL2r5AiMnHVlBGWmElkQy+cNWU0Fu3m52eu/D/2zjO8jSptw/eod1e5dzuxYztOr5ACoYZeQ4ddYJeFpe0C38ICC8sSOiy9hLb0EgIESIFACundqXYc914lWZLVNd8PGduKnBBIIJS5rytX7DMzZ4rkmXnOed/nxe92otDomXD9k6SMOW7QWTaJ3y9ep40tr97dJ4gB9nw+h9Sxx7Pt3YdRa7SMH3sFGOIQv326f8OOvYxKX0JWQSFDRiUTPbQAmVxBMOBnz4JXUAwSqeBoqQ5FMvSaunlcPl67/1vef7LfEmjmZSX87cmT0JvCw6BLcpSkmeU0tAd4fZGDG88xcdEMPQ3tfqaWaDiqWINSIX23jzS9gngOoOttygTmzIlq5xCF8ZfA3YIg7AGWAO+Lorh8wPJSoBWoFgTha2CeKIqfDViuEEVxvCAIM4F/AccdwrFIovhAlOSqCQRBLoOyOh/HT1YRk9PDTmeAIn14mErjXgsv39tvgNDV6iD2mNOoL/uQGo+FsZbqCKtvsX4TgjYaRc1auhVFlH32CggCJRfdzq6PnsRbXUXSUDWX3DKJySdHOlxLSPyUaB21jJg4no0fPoG1qYrRV82mfu0CcibPRFY3l2DNKiBUeiNQux756Q9DYB+nSG8Pvo4aNLkTaJUp2JYwlJ64XIbpTBQOEBbfsWdLS5ggBnjqli8ZPS2D2EQDo4aE/iY/XeUk3iRjbL6KyUWaiH4kJA4n7Q3dxCSE3gW6/N6wkkwVHTEkGzpBpsHWY0Ov0hGwNqNWeGl1xpNk6MDREIc2rhthn4eAXmYkRgxQ4VpLjnEq6nYfX5elMHxyPUp9ZCmzg0UwJBCvclH57TyKzrtJEkzfg0opMGW4hqOL1Sxfb+OdJQ6OK5EzLSvAujnfsKCmi1HTM+mOFtjuDM32F+ujyB1Ytqg9styivHkLQ6f+HbM2gHzjo4hp43l47uU8eN3XtNZ3UzAmgXseTEb+1ul9rsxi625k0/+OmDYGd9xw/LXV6M3pqCedisfWwY4PHiPgDRkT+t1O1j19I8c/+AXG5OzvPU9newMBrwddfAoKtfbQL5zELxavw4alZgfJo44lJrsYn8tOe/lGGjZ8SWf5xpCAnTYNalZGbKtpWsnfHrucuLwA3920XJZWKr96m8Kzb4hY31w0CU1Uf1pB3Z4uPngq3CN3wRvbOPvasQwdk8wOp429bgexChUlcVEseDCRT1f2sK3Ky4Rhao4ZqcEcLZVb/IUxm35B/B263vYfLYpFUXQIgjAGmAIcA7wvCMI/BiwPCIJwEjAOmAE8IQjCGFEU7+ldZV7v/5uArB97HN8hieLvYdQQNeb0AHfW7OEP7fUE94JGJmNh8RQmD7gJeN3+sNHfC2/P5u3Pr8HlsiIIAp2Z49nXJkuWPQmxqRSat5N8xhl0DptA++517P3yDdInnoLLbiGmRM2f7z8WhUIKD5X46RE9DkRHO7gsBN+5DNuoG2gr30TSqGNpXLcAU2oueoUfoVcQ92FrBJkCFBoY6CStMeEOCPQ4bJy7ZyObnVa0MjlZGh0vDBnNRFN4fp7LEZkzbOvowevp/9sam69mbL5kuiHx89HWaCfaHJoh6fJ5iRogiittiRQkNYBMg7WnG0VQQKlUkqjvoqE7mURdB46WOGKGNER2LCiJE43Uih1YFdUILg0No1oo/7CQ4iu2/fgDNpgxeNsQgzF0VZYSlzfyx/f1O0IQBLyV9XS+tgyNTslbu9oRxVAt1Vani1NqN9DcWxYnUalmwfApFPcOkMtSR7Jv0Ls/82gSdSLCZ6E6sELtWkYbP+D+t19id+1e7N5t+OuqYZ8yRcHSudim3sPyJ/6GGPATk1tC8axb8XR39gnivn24nbi6Wg8oin1uJ/WrPqX0zdn4XHZSx55IySW3H5SQlvh1ojbFMuaq2dR+O49d855CZYhm5OX/onz+CwBOSu6AAAAgAElEQVSkjzwaVj4FI8+L2NabPhmjqYYX/ncTf7rkbTIzxyEL+lEbY2hcv5DCc25gz+cv4/f0YEovYNQV96AcMEDkdvkQB7H5cDt9LLK0cP6uNX1/K2fHpfJU3khuvzj6p7gMEoeP/RXlPuRi3b2GysuAZYIgbAcu32e5SKgS0XpBEL4CXgPu6V38nRFHgMOgaSWldRCssXfybnt93x+xOxjk7pqdOAbMiiVlR4fVitOZ23G5QmEroiiypmUngQlX9ZmuCMnFCMkliE3bQK7C3lxD4vCjQ/13taKOikOfP5zExFxJEEv8LASbd+B/fRb+BwoINmwGeyt+f2i2Sgz4cLY30F2/B4UhmogpL0DsqkM487+gDpnSoYmiZ9rdrP7fw3Q0VrDZaeVfhhg+tHXx6MZv8G/6GltnS1gfOcUJKJThfZ/9l7GYU40/zUlLSBwE7Q3dmGK1BESR7oAfQ29OX1CEOlcKScZmEDTYXHaCdjdak4l4XRd1thRcnSbkKh8KzSD1NmUqZKKHFGUBDb7tqKJk1CW307AiA2vlIbwkKjQIKh3mvOHUrvzkx/fzOySr0Ex7o52qne19L/ZnXj2K5SpbnyAGaPV5eL+tvx60JyqH4JjL+p7xpIxEGHspwpJ/h+/A3kKcYz3fbr2DHXs+JCAfJF9SbaBm43LEQOj+a6nchqurBblSjWyf+sFylQaN8cDfFUvlNja+dDs+lx2Axo2LKf98DkG/VAP2t4ogl9O8+Ws6ykIu+F6HlV0fPUliYagmtc/jQpSrwVKLMPzM/g3Tx9OuzqH6oxcpGXIiZTsXs3fR6wgbXmXEzIuwVO+gZvlH5J54KSUX38HE6/9LZ8VmNr96Fw3rFuLu7iQtN4acovAB76QMEzHZJq7fuyVs8GheZyPbnDYkfvHU/cD2g0IQhHxBEIYMaBoJ1A5YniIIwuj9LT/cSGrrIGgcpGh5ucuOI9A/umswqbnlmZmc9efRxJh1xJjD8y5WbZ/PQhQErvgU2akPIqSMILD4XgC8Y66kfM2SvgdU6oSTUKdlEzNkFBlpke6REhKHG9HZSeCdyxErlgAgEHqxM6jlCHIFnRVbSBlzHNbaXTgDKvyjLg3vIPtoqN+AzemnruQm2o/6F7VFf2X5B6/hsbaj627nT8ZYRn7yPJb/3UvXN+/S9MJtVHz6LH5fv+PukBGJ/HfRxRRPDJlyXPHPo5l14wTkculWJXHkaK6zER2vpcvvxSCTI+8VPu0dXtSCB728C09QTjAQQKVQolCpiNd10ehIxNkSizrWPnjHggJEH2q5DpM8AYXeTZ3TS/qJe9n83/H4XT9+4FswJWJOSqJ+9WcEg0eksuGvkiEjEnly8cWUHJVObKKey/5xFBffMplF3a0R6252WPp+ritdS71pHK1H3Uf7lPtoH38r3d0OGET0fjeJ5vd7aFRoQRcXtrxn5BXUb1oa1uZ395A55WzGXfMIMkXIuEqmUDF21l/RLPwbwbLFiP7ISBuA7oY9EW31qz/D3d11wGsh8evFbWmnafPX4W22DrLGTMGUkkP95uW4RlxGcONb0NOF/IQ7kZ10D/Zx17P+/Wfoaa0jLiodmSBn9yfP4RCMmPe8w7TLb2bI0ScSHW0iqWQK61+4jU0v3c7exW+w+vFrqFj4GlGxau579xxOvLiYGLOOY88ZxsOfXEDArKR5n0gHCKWkSPziuQPo2aetp7f9UDAA/xMEYZcgCNuAQvpngQGUwKOCIJQJgrAVmAXceIj73C9S+PRBMNIQOQp7UUIGCfuM2Gbmx/G3p07myrun4uzegcmQSLej/0EarY9GWPkUgeP/hUwXj5BQgKhPpK2lA1fHIhAEco45n5wTL0WbnI1WI82OSfw8iJZaxOYd/Q1yFcRmY9j8IkdfcStbF31Ad0MFw866nsZ1C0k8/jRkqcUISi2ixgg1awiufgF5wTns+vAl3Ja2vq5U+iji7NVcHF9EXVl4nlH1l2+Rd9wlRGeEairKZAJjpmfx30UX4+nxEZOgl/IhJY44TVUW0vNi6fR5iVL0O+nWNfpI1NhBdGF1eVAEQBcdCqc1qRy4fRos9jhSi/bup2cZIAfRR7wyk3ptK1FNPrrGd2CojmHzU+MYd8sahB+TXqePR4cTlc5ER9kGEgoHL40iEY4gCIyamskTCy7E7ey/B13QmsFiS7gwvjBhQOSgTMa29x4lMGAQXROdwEkX3gqf39rbYEJ+zC1EqQ3cPuMWmgQ5H699nZSzn0FfuwVlwIU872gad+8l4AsvzxWTVYjenIo2LonorEJ6Kteh6a5FV/oMWGrw7/0GxV+XI2ROiDgnTfS+yVtgShuCUvv95Z0kfp0otXoMiZk4Wmr62uLyRmKwVTBlylgcihMJaKIRL5+H4LMTdLQTREZPZyNKnZHY4omUNqxjUtbJVLsceDxeTM1biWneSoxCAwoVnckFWKvC0zzKP32BrClnk1OUwz9fPo3uLheGGC1qtQJHwMdx0Qkssfa/H8iAPE2kK7XEL4urbeZ35kS1w2F2nxZFcRMweZBF0wf8fOx+tp0+4OcOpJzin4exhliezxvN7TXb6fb7uMCcwZ+TcwYtzaRQyIhLMuJrFzh9xDU0+1rotDdSPHQGQ8u/QO53w55FiEv6SzEnF59L9P+9hEoBPpmO7sZqvN1WhKzCMPMCCYmfDLUhLB848NG1yC98DbF5J/FtK5n2h1vwGdPx+4PkJynh3Yv7QqCEwpmQM5XA+a9Tu3UdE666l63vPY6tvgJjcjZjTr0QzdK7GTrrrYg4G1EMIvamIbTU2XA5vCSkmdCb1OiNUt6wxC+D5lobI47OoMXnIUrRP/NX2wJxGhsICjo621HLVSiUoeWCADEqGxY0ZCgPMFMrKCHoQSE3ojMpMdZa2Dw2hgtP3kvZO8VsmzOKkj9v4YeODQl6M2JXLfHDxlO38lNJFP9AdAY1OkP/PWhGTAJ3pBfweMMeZmrMXCAmUuzsf5k3JmYS9IXPeLmtbdhMQ4g96V6CDZuQlZxDYN4NKNw2YoFYjYm8i9/EGdDQqc1BpxQwrH6ZtGPuwta4l4b1i1Dpoxhx6Z3E5JQAIJPJMRkNaL/5P3AOMCUURcTGrTCIKI7NLcFcOIn2XWuAUMh1ycW3h+WBSvy2UJviGHP1A3w7+zKCvc9YU2oetOxCE5uO2utArPkS2ZiLCHxwI7isCECi2si0K5+iSxuNvq2ahrlzkClU6FQDbkB+N8KIcwbNGw4G/di7nASUTqLNeuKS+id3DHIlj+aM4JaqUpZY20hWaXg6b1RfXr7EL5teAXyoJZh+0Uii+CAwKBT8MTmb42MS8YhB0lVa1PLBh+6DopdW61bs5irSU7Mxl0VTtbgKc6wNbVcV/uPvQ/72rLBt5DvmEjXpClq6RVY/dhmiGJIbKWNPYOyfHpCEscRhJSC6cIhluMUGNEIKemEY8rg85Kc+QOCT3vItfi/B8q9RnP4wgsaIr7OZ0pduZ/iJ58GX94T1J+5agGLKjdBjYZi8Ark3lyklqXinTUNpq0a54l5kY8/GFC0na9oZ1KyYz3dP06SSaWji0vny3R08dv1Cui1uRh6dzq3PzSSnKOFnvjISEoPTWmcjLknPNp+FKEX/Y7O2Q02B1orbo8bpc5EYFf6dNQbdWL7P5VcWEsXIjURFGemqs7DWCBcrRPJn7WLXmyWUv1tIwUW7fthBGxMQK78lYfpFbPnfvYy+8j5kB1nfVCKSRJWGOzMLOdcZx3M3fsmDS5diiFJz839P5NjzConJHsbUW++nfXcpFV9/gc/ZjVJvQh2fidi2DoIBxIqvwT0gf9LdjXrnF6xcUYqjNZQmN+KCvyGr3k3y9KlknHIKCCJCUI0w8J1DqUUwJiI6w5360Q6eW6yLT2HiDU9hq9uN392DMTW3rxxesH0v4s7PCO5dhqxwJkLBSchipdrWv1YGfp7xw07mlAc+oKO5GaU+iqj0fISmjQTeuQyUOoSScwhWLgfXgPrZHjva2m/wakZiWb8QQZAx+eZnMfobCSq14HMh5ExFMeP/MIla1KY4PN2dfZubR5zIgzdtoK3pW+587XSKJ6SFHd8wvYn3CyfS5HFjlCtIllzQJX5BSE/Ig8RhdWMKQFTcgUdW23yLaBW+RtRAs+4LUkedSlHGNewoK2VdxmSOC7gxBiNLbQR9bja98u8+QQzQtPFLrCdcStKIqYf9fCR+nwRFP83B9ygL9NcuTfPehm1PJpm500m4diliZyWCKRkhbSRCbwi/pWoHuthEepoq0Hv3TSsB0VqP+P5VoUxkpRaloxl5aymO4jPgiqdRdd4D1a8waspJ5E17lPWvvUTKmBlkHzOLqjIH91z6MaOnZ5GcFcW2VQ08fesSZn94Llq9KmJfEhI/Jx63n+4uF1GxWtraWjHJ+7+TjTYDR8dYaGsJElCJaPZJqdF7/XRoI0uPhSGoIBiK0DDF6FDs9rDFEMQnyFCqAxRcuIMdr4zClGMlZWLTQR+3YEwkaGtAG5uExhRP+661fWaOEj8Ov9vP2/d+y+alIQHrsHn4zx/nM26aBsG+mmj/k8TmWckcfQs1W20kjphBc+m3BAPxZJ14H66qZSiLbah3L+gvX9dZicoUC621mLKL8KSloEuH2thb8RMSKwbfCPTORKKjQi7igi4a+Smz8b96Zt8AI/G5COlj93vs2pgEtDHhgzaioy3kJVG/EYBA2SKE4WchzJrTd++X+PUw2OepGH4Wab2fp6VmFx2NTSQffyfWhFzaEcld91pEP3JbA05vKkVX34shKglTfBpiMIgsbyp4e3ALWqo3LsfRWs+E65+kbtV8uiq3oss5lsqWfDYs3QnAHefO5ZV1f8ScEn4PNMiVDNUpcdjcWO09RMfvW+lHQuLIILnXfA8up5elH+3mz1Nf56pJrzL/1S3YuiJFAYDVWcGuzduY98xi5j2zCN/GS+jyNeNUWVA5fSTrs9jesgsxoSB8Q10sQV1CWB7mdwwsvC4hcaj0iJWUB/4vrK1B9SiiuoXnXzuXrqhk5OMuRZZ/HIJ+QMkxhwV1VDwNFTsJpo8L71SlR+zpN2wJbv0A69hL+TxnGg+veZVnP32ESuWfCaoywLoIvecZsqecROOGrwh4XDTXWrnx8RMQRZG1iyopnphK/qgkOpsdP+m1kJA4GJqrLcSnGJHJZbR5XcT0hk93OwUCQQGfqwu/XEAlVyEb4MrudyswBVy0e2MOvANBEZopBjRRAmKXFpPbRmnv+KtS7yPv7N1sf2k0nu4fMEikMkIggOiyEl8wjvrVn/+g85aIpKvVyfKP++sRG6LU3P7SKTx43Tr+cJKV5968jSb/zWg6/k7+cUez6pGrKX1rNg6/g4++eZwHv3yAFyyN1Jz6EKIpGQBX+jSs1TuRKdWYjpvJsk1zsBjf7RPEAA5lKd2KzTjb+8t6CUOORfHX5cjPfgr5xW+guOozZPG5P+h8xLbyPgHV17b9Y8SO/eXAS/yS2e/n2VkJgKOlhrWvzcaePIKPVr+GTOfBPWqfcHullpbpN7HBtZknXjud9z+/laamHQgyGbL4XHoU0Sy9/wq2/u/f7F30Givuv4SEwklkzXqRRx/Q8tL9IUEsCNDRbKeltjviOD0uH99+Vs61x7zBlRNf4aPnN2Jpd/40F0VC4gcgieLvYdvqBu44fy5VO9tpqLTwwNWfs25x1aDrVldv5dN5j2Drbqa7u4XPPnkCb9VoAvYGmt95ntY3n0PT6qbtmNsQh54ACjXB9PGI57yIIFeSNHJ6WH+CIMMg1RGUOIz46EJkX6fHIMmJybjddhqatg+6nTEll47yjbhdbtpzzyOQfzIo1IgpI+GyDxB3zu/vLW00S8q/YcW613G7u2ls3s2L7/2LVt3VAMicq9HovNgbK2jfvZ7YBD0v3b2Mzctq6Wh2sOCNbZRvbUGtkwJZJI489XstfSXBWr1eontFcUOHnDhlO3a7D5lBiUYRPkvsteswaO0ERBkO3wFCBAUViCFRrNSCGJAR01DO0qj+qCFjmp3YwnbK3ys8+AMXBIhKQrTUYR42noYNiwgGIqOUJA4enVFFRn4cphgNtz9RwoNvT+HpW79m9cLQveuD5yp5arYRt2YmQccOfD3dxA4bR6l1Cxu2z8XjsdPQvIMXF95L+9HXI8ycTU1dK0G/F/PIKaza8QEJyZl4lJGi1O7ezrcPXE5HeUj0CAoVsswJyCf/GfmoWT9YEAMMmhQq8etlf59nb7smKg4x4Ke6cS9js04EWx212RvwnXUbGBJAH4/1oud5ed7NlFevwOt1smPXAl5582K6e93XrTW7cLbXh3W/+bW7CAYEOprtGKM1/OPx4Tz8UhKPzEkhPsoScTi71jdy25kfUFHaSlO1lUf/upCVn0U6pEtI/NxIovh7WD5vd0Tb3Oc24PWGjFO8Lgdtu9fRtGUpmzZ9HLFu6YZVKF2hEWFRDFK36G0a29upGXIetWNuxzryGoK7vkAZm8rIy+4ieVTIZE0bm8RRt8whOnPYT3h2Er83NKShJLz8hxwjPbtbmVxyQZ8hx75E5xSTe/wlJA6fQtXW9ayrl1E//i6cJz2GIm8assnX9K1rH3o863d+FrZ9MOintbu3b0Us+uRhpIw9gYDXhbW9hx57uFBfu6gShy3cfVVC4kjQsLeL+KTQtG2bz01Mr/t0fUsQTbCDqFjoCQZRK8Jncb0OHSqdh1iVjVZ3XES/fQhyQADRiyAI6GIF0itsLIkOMPAVN21qLY2r0nF1HHwOnmBIgK4atLFJqI2xtO9ed9DbSkQSFafj70+fzG2PDMO/6XYa9jRgt4aXmFm9qJFW53GIhL4zpuHj2FGxOGwdv99DoyqKL+fNw5A9iuisIgSlCp/fRUXZRvSuKRH7VlnT6W6qZMMLt+EekMN5KAgJ+Qip4WUfhaLTEOLzDkv/Ej8vg32eFJ7a93lGZRSQc9zFaDXRtC2ai7vGhkVTyqZx79Nw43k03HQBdZpmbLbwNI2Ozho6uqoBBn1HCPq8JGeouOqeadz2cAGBLf+kafF/aFz0b9Y+fCGW6h1h66/9MnJi6f0n1+O0S898iSOLNBXzPcQmReYQm1OMyGQCAZ+HvQteZccHj5E940Kio80R68bHZlL90Twyp56NITELMejHFJ9PTIwJIWhDK7MgzPg7gjERkzGRSTc/h6urFYVGF5H/IyFxqGhl6QzzPke58lY8Qh1qUkhtvIHt/3uRmDMvJDk5ciYq4PPQXb8Hpc5EXEwi2thElBoDxpRcjMlZADgTRuI94SF01UuQGZMxGMx0d7eE9aNRysEDLsPNrH7qPuLyx5JQNBlbVaTLtEanRKX6MXVoJCQOL3V7OolLNuAJBnEG/JjkShBFdu9sIlbRiUbto8cZJEoT7qDqdWgxpjiIDtppdcWRa2zYzx7ozSv2gFyFNlogqtlAUPSwQ69keG9UoVLvxzyilaov8ii6fPCIjohuDQmIvS+z8QXjaFjzBYnFR/2o6yARYsz0TDa+9CKdbidaZeTMnEotR6mNIqgZhiBXEOxxotVG09MTPmOmj0kl808P4rK0MeTkP6IyRIG9iI8W/pOu3WcQNfxYbMpvkKEmqfsKWhaUgihib6rE292FxnSAgZaDRDAmIr/kTcRtHxPcswTZ8DMQCk/5ReQT+1wObPXluLpa0SekY0ofikL5265IYG+uobthD3KVGlNGAbqYyFJaB0IwJuI+/n7Y/QXq9u24k8fiMOUT5/Oj1oTKI5Zc+H901e9me105lfMaGVl4G43pz1ClfxU1ySTbn4rsVxBQq0LvwtEZBSi1Rnyu/trr+af9CYXg5eTTZDSuW0OXqz/1yeeyU7fqU2Kyi/vaBsshjk8xoFRKz/zfG4IgBICBD7QzARfwCpBOqE5xjSiKMwVBSAGeEkXxXEEQdMAcoAQQACtwkiiKh5R3J4ni72HK6UN594m1fTNZCqWM828Yj0Ihw1pbxc4PnwBAG51IbqyBDRoTbncoh0KtNjAscSLerh14nd2IAT8iIpbyzegnzCRuxvUR+1OotX1CYyABvw+PrQOFRodKsq+XOAQU7eno1p1EXHoc7iYLW794GoVax9DiE0hKDI9MEEWR+jWfs/Gl2ym56B9sf+fBvvqZyWNmMPzCf4Qe4koVPcEY/Ikn07ZyLSeMu4a5X9/T10966gjMUbl0dj7E9rcW4ra107h+IUNPuZLc4mxKJqexbXW/aPjTv6eTkvM9uZgSEj8DteWdTDoxl1afmxilCkGA5i3LaHNNJj9mN34xiC8gopT3l2oKeOWIAQG5KkC0r5sW9/dUEJCpIOgCuRGtSYCOWJLatzM/biLDnf2lUJLGN7Hj5VHkX7ALhfoAZZ6+w5iEWL0SAPOwCZS++R9GXXkfMpn08vljCQb8OFprANC4tjJiUhala/rrF19190TSRhQhU5mZfte7VC19j5OOvol5X/6rb52crEmkp48iypSE3+2kvWwDrdtXEmiu4Kzp/2TTuoXkWyczbtz1tJeuofbzr7A3hmbXjMk5IWOug8DvcdO5ZxON6xcTO3QUmqh41MYYDMnZKDWhGsUy8xCYcRvyGbcdpiv0w/F73HjtXSj1JpRaA36Piz1fvMLODx/vW2fcNQ+TNe08BNlvM8Cxq2o7K/5zMV5nyJ08JqeESTc9iyExA093FwGfB21M4gHP39neyN5NK1EbslFmD6du7Rd0lr3DGFGF39ND8ugZmJKzMSVkEpVZiK12F1v+/RiZJ59GXEY8SUNnoE8s4OhJV7NyzZy+fo+Zcj0J5tBssyk1j2l3vUPFotew1ZaRdcz5xOWO5Ou7zsKYnINcrYk4LvuAWskA44/PwRSjodsSirKQywUu+7+jUGkkSfI7xCWK4siBDYIgvAh8JYrik72/lwCIotgEnNu72o1AqyiKw3vXyQcGD3X8AUjfwO8hf1QyL664gm2r6/F5AwyfnE7B6FA4tK+nu88tWm2MJtDcxLljbsKu8CKKIiZRR2J0NvZs6GlvoGz+CwT9XjRRZoxpedgaKnDb2kgonER8/pj9HoO9uZqy+S9Qt+pTjMk5jLzsLsyFExF+aOFKCQnAlJZL1N4Stj57D8GAD6XWyPjrHicpa2TEuo6WWja9/E9SxhxH9dL3+wQxgCEhg21v3U/L1mUAmIsmEZ8/lrjcEpw1zVw84348BhVGUyIJxgxW/OOsiJwnr9NGaoGRe946ix1rGmiqtlIwJpmiCanS91viF0FtWQdn/Xk0FV4XcQoV1ppddFSUYg2cRqzGQY+oRKOQI9D/ffU5NSi0ob+VGFU326z5B96J0CuKAW2sDFsj5HXUsLhkAn9rEND2phdrYtwYUu00r00lfdq+Vb8H6daURLCrFlEU0cUlo9Sb6CzfhHnY+B93MSRwtFSTMGwC7TtX077+bS6YdQ0nnD0cS7eBoklZFE1IQ64JCQPzsPHEDhmF19NDWs54WlrLMBjMZPQKYgCFRk/yyOnUrZpP+6ZlyHesY0zhePyry6it9mBKzcPRHHK7VhljGHvNw32zxC5LKx3lm3B1NqNLSMNaswtNtJmEwomYUvNo3b6CVY9cTeE5N1Cx4BUsVaEJmaxp51J8wa3oYpOOwBUMx1Zfzo4PnqBl61JicoYz4pJ/IsjlYYIYYPOrdxOfPw5jSs4ROtKfjoDfS9n85/sEMYClahvtu9Ziq9/D1jf/jdfWRe6Jl5F7/CXo41MG7aens4nGDV/S096AIJOTe/wlyJUa1KY4lH4jdd/OQ5ApSCyZwpirZrPq0avw2Dqo/nQuRefdjGF0ASq1gZOO/wdFhSfS1VVLfFw26amjUCr7xW5sbgnjrnmEoN+LTKFi40v/wGu3YHHvYNiZ19G2fVXYcWVNOTvs99ziBJ5fdjmlq+tx9/gYPimNYWMHPyeJXw4fzMq8CJgNZAB1wB3nv1/7U9QtTga+/O4XURS3AQiCkAV8Lopice86tQPWKecwIInigyCvJJG8ksgwFr05HU10Am5rG+7uTnxuB4LbgW3NF6iNsRiPnQWIKLUGyj55rm87t62dsk+fJ//UP7HjvUdQaA1MveMN4odGCuOA1832dx+mYd0CAKw1O1kx+zKOe2A+0RlSvrHED0ehVJNzzCzMBePxdHeii0/BkBhelzLYUQnODuRBBXKFCr05jaaNX/UtV+pNCHJFnyAGaN+5hpisImqWz6Xw3JuIyxlJ3JBQfpPHbiEqYxi22v5aq3KVBmNSyEguOTOa5MzBa2xKSBwp7FY3TruHGLOe5i4bJr+X+rWfIx9yOoYOF0plgI6AEJFP7HNoUGhCg9Z6hQt/UI7Dp8WgdA2+I5kKfCG3YX2cQP3GIMXBKBIdXSyKjeesAeVozSNbqP0q+6BEMWojyOTg7ACDOeRCveYzSRQfAh67BUvNDgpOv4bq5XPp3jmPIcfMIvnUY4kfGpmLK1co0SqiyEkYQrZcARojgjHyfSJ13AnUrviIgMdF25blAGRPPZusaeeRNHI6XrsFfUI6enOo7qvP5WTbOw/RsG4BRefexOpH/9TXlyY6gWl3vsXOD/+LPjEDV2dLnyAGqFk+l6QRU8k46ozDfXl+EB67hXXP3Iy1JuRY3FG2gRUPXMa4ax6NWDfgdeNx2jjygd2Hn4C7B2vVjoh2W/0e6lfPx2UJRSKUffIscoWKwnNvjBg09rkc7PjgMXp6HcrFYIC9i//HuL88iquziW3vPkTAE7r/7J73NNPveZ8Zd75BT3sjyigzxszCvvB0oyGewvzjD3jMMrkCmVyBz+Wkq7IUgKDPQ1dlKQVn/IWaZXNBECg89yYSiiZHbJ9TnEBOsZQi+GuhVxDPAb6Lfc8E5nwwK5NDFMZaQRC29v5cLYriWcCzwPuCIPwVWAK81jtLPJBXgS8FQTgX+Br4nyiKFYdwHIBktHVI6OJTOL/qdqAAACAASURBVOrWl4nNGYGAQO23H9O2fRVZU84ibugoqpZ9AAh47ZFllRzN1fh68y78LgfNm79BHMQZtKezmYb1C8Pagn4v3Q2VP8k5Sfw+kCmURKUPJaFoUpggFoNBAts/wf/fififnori9dOZftn1WOvKSCzpr3FqTMnFWrMrol9LzU6MqXlYa3b1CWIAtTGGCdc90fdwNKbkMuUfr2NK/RGOqRISPxM1uztIyYpBJhOo7e4ksHcbCYWT6fQnEafqArmA0y+i2ddky6lBoQ7NFAsCB2G2pQIxAATQRgu4rCKmYArpzet5J5Eww62YoZ04Gkz0tB5cbU8hKgWxMxR6ax42gYZ1CxGDwe/ZSmJ/6ONT6SzfRM3yj0gbdyIpo2dQt2o+mqj9h8gHm3fge+44/E9Pwf/YWIJLH0N02cLWMQ+bwIhL70ShNSBXqhl21vWkjDkOuVJFdEYBCUWT+gQxgL2pktoVH5E69gSql34Q1pfb2oalajsBv4/ozEI6K7ZEHNN3LtZHEmd7fZ8g/g6fsxulzohcHW4op41N2u8M6a8dpT6KjKPPjGiPSh+KyxpeqrNyydt4bB0R63rtFtp3rolo97ucWGt29QliCJllVXzxMqpPryX63dPQv3sOsqbSH3fsWj2ZA469efPXVC/7kIk3Ps0JDy0g7/iLQ/nyEr92ZtMviL9D19t+KLhEURzZ++8sAFEUFwM5hER4AbBFEIQw0yZRFLf2rvMIEAtsEAThkGcKJVF8iMTljWDqnW+SNf18Jv/tBQJeNxWLXqdrbykTrn0cbWzSoDkgOnMa9qZ+Yeu1W6DXEGUgcpVm0BxipTbSAExC4lAR28sJvH0Z9ObF4+xA983dZBSNJm7IGMyFEwFw2zqIGySyITo9H0dLDYbEjMhlmQUcdevLzHxyBcfeO5eEokk/6blISBwqldvbSM6KwuOwUlZXTkpMAvqENBqtWmJkbSAL0uPzo5EPMAASwe/SINf2pzdFq7ppcUWKJpXRRlTuHowZ1QhKOQRcyOQhB2p/m4l4azUuIcCGAdNjMoVIXHEb9csj/8YGxZiE2BF61ujjU1Fo9HTu2fSjrocE6M1pTL7lJeQaLZVL3qaldAXjrnl40HsegOjtIbDgLmgrCzUE/QQW/QuxYXPYempjDPmnXs2Jj37JSY9/TfH5f0N7AKOlgDc06KLQ6PD12AdZ7qbgjL/Q3VBB9ACTo++IzY1Ml/m5Uaj1yBSRtbflah1H3TIHbW94tzEll8l/e+GA1+PXjCAIZE07l4zJp4MgIFeqGX7BrahMMREpR9q45IgBAwgJ69i8URHtKmN03wTMQNzdXSDvvfa2Rvzv/RHRESm2D4aMo84gc+rZIAjIlGryjr+UqPR8NIOYz0r8atnfA+cgH0Q/DFEUu0RRfEcUxUuBDcDUQdZxiKI4TxTFa4G3gJmHul8pfPowEJSpsdpk6JJKOG72Z3gcVrTR8ah7834CXhcFZ1xL2fznQRRRao0MnflHdrzXHyKUXDSWYGcVcvOQsL51ccmMuuJfrHvm5r4287CJRGdJodMShx/R2gD+fcoi9HSRXjQapyqRtAkn07h+EV6HFZlcTkx2cV+5hZic4cg1OsRggJQxx9NW24bP5yc5JwlZ78CQUqtHqdX/3KclIfGjKN/STEKqltI37qNr4kwyjCHzt4YuDdlCE148IAgo5P2PUr9bhUwZQCbrf5mNVXdT3zPghV4QiS8qxZhaj6szHpnSS1y+jZb14HbkYzDLsNaJxCamMrytljeTchg/QPfED2+j8tN8hp5Xxvel3gumFMS2/hqg5oLx1K3+jPiCcYd2cX7HmAvGMeO+j/HYOlGZYtBG7z8MVHR2Iu5ZEtEeaK+kMTiU+LQYtPr+CRh9fOpBHYMxOQtjah7NW5aSPvlUKha82rdMkMmJyR6OPikTuVyB12mjq7IUR3MoYiB59Iy+Ac4jiSEpk+Lz/862dx7oa8uYcham5GxUhiiOmz0fjz38feq3iiExg7HXPELhOTciKBQYEjJwtNVhSMrC0WtUJcjklFx426CTIiq9iVF/uIeVD/4Bj70LgCEz/4jaFEds3oi+FLzvyB03FZb/o7+hvQLR3oJg+B5TwEHQm9MYc/WDDDvzOgSZAn1iumTm99ujjlDI9GDthxVBEI4F1oqi2CMIghHI3Xc/giAcBewSRdEiCIIKKASWHeq+JVF8iFRtq+PNR9byzUd7ScmJ5oaHpjL+xGHIFf03hJisIozJOaRNnInXaUOp1WOp3IY2PgWFSkP+KVcSs/N1hJn3DbqP1PEzOebedOyNe1GZ4ojNLfnNjphKHFkEY1IoBzE4wNlWbUAWnUpUfCjUOTjqGMrmv0DHuk0MPfVqCs64FrlKgyCT43VamXrHu6xd3s1zdy7C2e3h3L8M54wrR5KS99sMfZP47VK2qYFMw2rMw3NwKJRE95ppNVk0jIux4/C50Sg0+5hsqZGrw+tux6psbOosQhRBkIkkjV6LXOuidcsYxEDItVod1ULyxE00rjNjSDDRWRNg6OQU7C2rWZecQ7UGsntL4hpSQwrZsieW2PyuA56DEJ1KcE+/H0B84QS2vf0AI6/4l/TieghoouIPGDL9HYIuGiF9LGLN6rD2uhYNf5jxP6acmsUf7phM3qisiG3dtk7kKvWgIkgTbWbyzc9TsfBVxGCQwnNupGH9QtTGWArPuZHonGJkMjkZR51OwOclZezxOFpqkCmUGFNyURuOvIeDTK4g5/iLicktwdESqqcdm1vSF26rjUn8Xb3rKNQaTGn9eenGpCym3vEGlqod+N0OojIKBp31/464vJHMmD0fZ1sdSq0RU2oecrUWhUbPqCvupfbbj/F7nOSddCXxe9+CwID7VFQqgu7HDzwoVGpMqVJ9698wdxCeUwzQ09t+uBkDPCMIgp9QRPPLoihu6DXa+o5c4HkhlFwvA74APjrUHUui+BDosfcw555vWfZpaPS1Zncnt579KS8uU1M0KTTj63V2012/B7etHXW0GUTo3LMZtd7E2Cvvo33PZvYseg3FzD+QGDf4DUWh1mAuGIdZGtmX+IkREvKRn/UkgXk3gBgEuRL5eS8ixPU7fkZnFTL66tl07tlET1vI1MNlacGQlE3q+JPY8GUFD133DedfM4TUVD8en5cNS6o4QxLFEr8i7C0NVJY2cfQfE2H4UcS67cgFAbtbgS8gw6AN0BgIolGE1071OjXI1eGVIbQKDzIhgNVnJG/USuS6HrrKiiDYL0o9VjO2ym6SxizFUnMa5V+KmOQJeANrmWxx82aihrt7vTYFITRbXL8083tFMfp48NgR3d0IGhP6+FSUOiMdZRtI+AXMFv7WEdRG5Kc/gv/l06An9Fk5h17I3E8C+LwBvplXSbfFw+z3z8EYZwJCXiI1y+dS+dVbaGOTGH7BrZiLJkUMYkSlD2XYWX/FUrOTgMdN8fm3IFdpiMkqCltXrlShi036UW7TAb8PR0s1/h4H+oQMNNE/fCbxQKh0RhKLJ5NYHGnGJAGGxMwII8wDrp+QjkyuoKejiZ7OZgzJWejMafR0NJE8ZgaaqHgCghZH3rlEV/ZGMKh0KGa9hBAVqqzicVjpri/H67BhSM7GlJonVYP4nXP++7XvfDArEw6z+7QoihEjfqIoPkIoV3jf9hqguPfnN4A3DmXfgyGJ4kOgtaaD5fOrwtoC/iC1uzsomjQEr9PGjg8eZ++i1wGQyZUMv/A2dn38ND5nN1Hp+eSddDmJJdNordiGKiGb+CGROSESEj8XgkKFbNzlCJkTELtbkEWnQ8LQsAei12GjcdNXlH38LGkTTmbTy/0DhSMuu4vGmqE8PncqllWP07FmAzKFisTjbsDSPISY5N/PqL/ErxdL9Q4+uu1GTFHTyJowjW99HsxCKAWgwaIlQdOFoFLicAnEqsNFsc+pQRvfHdFnvMaKRSPHkNJA+7ZRYYIYAEGOqz0GdZxIxlFbKf2oBG83xKpS0bTu4vVho7muEeJ6/RjNJa1snzOa4itLkSsPYJwlyBBiMhBbyxAyQ67T5mETqPv2E0kU/wyIwSCyjLEoblqD2L6XLovI4/fXs2xBfzTgxqUNNFW1kx9nQhRFqr55l11znwTA1dXCitmXMeM/HxObO6JvG6/DSndTJeueuQlna6gvfUI6WVPPoWvvFoadeR0yhZJDwdtjp3LxG+z48HHEgB99UiaTb36emKyiQ+pX4qejY89mVj/+Z9yWNuRKNeP/+gRtu9ZSubhfP2RMOQvthDOoO/UrvB1tpI8djjJzKBDyC9n6xn3UrfwEALlSzZTb/yd5gEh85zL9U5Rg+sUgGW0dAmqdkuj4SAdQQ5QaZ3sjzVuX9QliCDn+lX8+p68Mgq13JG73vKepW/kpjuYqyRVU4ogjKFTIUkqQF5yAkDQMYcCMg62+nL2L32D72w+SPvlUyj97KWzbbW/NZvxYJ5ZVj2FIymT4hbeBIFC36FF81sOeeiIhcdipWzWf5f+5GG/ciWQWhGbF6gN+4nv/Dhq6tMTKWxHlMtwBwsoxiSL4PaqImWKAOF0HbYKOrvJCRP9+xIqgxlaVjCm9itgsP217gsQpM+jq2cpYO7wzYExJHe1Bl+igdWPy959UVCrid0ZPQELRZBrWLyTojzxOicNDV+U2Nr50O8v+fSG1Kz/BpzQhzz+Ove0JLFvQGLau3qRGawgNrrgsrexd+HrYcjEYwFq7u+93W105a56+kdrlH/UJYgBnWz1uWwdV37yPvTcP9VCwVu9g+3sP91XGcLbUUvrGf/C5nYfct8Thx93dyYbn/o7bEnKsDvg8OFpqqfzyzbD16r79mO7aUna9+3c08TK2vP8g5fNfxNFah6V6Z58g/q6Pza/ciWeQKioSEr81JFF8CKTkJnP9Q1PC2kZMTqJgTBI7P3yc7obIklluaxuqAbk8AW/IJt9j72LjS7djb66K2EZC4peA391D6Vuz8Xt78DgsiKJIMBD+Ui0GA9hqd9JRvpGa5XOpWPg6Q06+AoCuis3smvc0tvo9g/QuIXFk8bmdbHjx/yh9ezbDL/oH9c0xpGaHBj2rAgEShZAoruvUYRYacYoeVHIZcqF/0MjvUiFX+sNMtgAQguTkb6KitgS/8wCVA2RqRK8fe0MOmZOraNrmxyRPwBd0M769nXlmcAx4aseXhEKovw8hOgOxqb9OrTYmAV1cCi2lKw7iykj8UKx1ZSz79wVUff0O7bvXsu7pG6n9NiQ08kYkMemE9LD1r/3PZDKGhcotyZVqVKbYiD4VmpBBoc/tZOub9+HvsWNvjqxYYW+uRheb1PducSg42xsj2tp2rQlVy5A44gSDATrKN7L5tX+xcc4d2OrKI94hg35fhIM1hJ7VbmsbW1+/i+iMAra98wCbX7kTt7U1Yt3uxr34XJHRLxISvzUkUXyITD+nmGe/OpfbnjmW+9+ZyV2vnoJabqdmxUfIlWr2tQaNyhyGo/dBJlOokMkHzBgEg4M+hCQkfgm4uzto2bqMltIVpE04BTEYCBvgAVBqjYgDZp/c1jbkKg0Qqq+94/1HWT77EhwtoeRIMeBG9DQjBvdxvJaQ+Blp3baSxbecgKurhTFX3Y8xKYudm6xk54cEbF3QT5I89Lis69SQoLPi9DnRyiNDp+WayNlXY1ot8aZWLI5YXD7N/g9EUIHoxdmaTMbRdbSW+wj6IEGVg92+gWFO+HCA0XHcsHa6yuLx2NT77xMQ4rIR28sRg/6+NnPRJKqXf/h9l0biR2Ct2YV/n9nU3fOexmVpxZyRyK3PnsQD753CrU8dw9OLzubEi/rDotXGGEZcHO5dozenE5tTgui34O6so3Xbt9jqy4nNG8G+xOaNQKZQY0g4+DzU/aGNjUx3ic0dgVJnOuS+JQ6drootLL3nfPYuep2qJW9Tv+YztHHhkSOurmYMSVlhbbr4VPzu0KCJ3+XoiwZrKV2OZhAn9aSRx6CJksorSfz2kUTxIaI16Bh97DDO+stRHDtrDKlDUkI5XAjUfvsxw2fd0ldn2JSeT+FZf6Ft9zpi80Yx4tJ/UrnkbeQqDeNnXcvxF15GvHULwbr1feFKEhK/FJRaI6a0oZjTsygZM4K8WJEJV9+HLi5koKWNTaLo/JupWvp+2HYCAjnHXkDbzjUAuLtasdaVEXSUEii/HP/m0QT2XI3o3Pmzn5PE7xtnewOrH7+Gdc/9jdwZF1Fw+jUo1Dram924nH7MyRqswSBeIBoBa48Sv1/AqBOwez1olOEC1+fURDhPK4029ElNuJpTSdB3UNeddoAjEkDQQKAHvyMd89BOGkv9JChzafVWML3DwduJ4Op9csvVQWKGdtKwMv0AfQIqPejjENv39jUlFE2iddu3eB22H3DFJA6GwUyJBLkCevPSk3OSmH7eaM68IIVRsdvQbH+dYNUqRF/IXjxp5DSOuedDSi75J+OvfYwpd7yGTrEV/9bpyC1zMKbk4nc58HR3kT75DARBhiDISD/qDDTRCYy+6r4+B+dDISa7mCEnXdH3u8oQzagr7kGll0TxL4HaVZ8iDqgUUbdqPkXn3dwXVYAgoIlJoODM60gZewIqfRRjLryZYy/+E7kGOzOuuJ6s8ceFmbJposyM/fNDKHodz+OGjGbEJXegGKQ2soTEb40jYrQlCMIjwGmAF6gE/iCKorV32e3AlUAAuEEUxcVH4hgPBUNiBrknXMLexW9QsfB1sqafhzoqntR8NRr7Pcz4y1TkiWfTVmXDbWlj/AXXkrz1KXC0IQJ+mRzFnxYg5E0/0qciIdGH2hjDxL88hGr5gyg+uRaAOLWB6Zf8lyarF118Kh17toSF1ukS0jGlDaWldAWdFZv72o3xWgI7zwZvPQBi+3v4HaUoSr5CUO2/5qeExOHA67Sx+5NnqVryLqnjTmDcNQ+HInt62byqg7wiE4IgsNfvI00mB0GgpkNHkroZQWvA4RKJV+r26VeDLmFA7p3cT8yQMhzNqQT9ShL0bVRbMsmP28t+kWshYMfdlUrujFp2zzeSPiaWBGUO3dbl5JhPYa4ZLu2Ncowf3kbDskxyTzlAn4AQl4tYvwkSCwBQag3E5o6gbtWn5J142Q+7gBIHJCa7GJU+Cq+zf8Ch6Pyb0Ub3z7YFu2rwv3ImtJX3tckvexd5ydnIlWrMw8ZjHhYyRgtalxLYfh4ASk81oy98hJVPP0710veJzRvJqCv/gyExA010IsaULOQD8tz3R8DnwVq9k+6mStTGGKKziyPcqdXGGIovvI2MqWfj7+nGkJiFPuF7BmAkfjaCvvABOL/LQdv2VUz759vYW6pQm+KRKVUs//cFjLv6DsacfSzylZ/Cyo9RAGqgZPJ1bKkNfQfTJs7EkJRFTHYRCUWT8bud6OJT+iZ2JCR+6xwp9+mvgNtFUfQLgvAQcDvwf4IgFAIXAEVACrBEEIShoigGDtDXLw65Us2wM68jOquIxg1fotbLSMlsR9s+Gwiidu9ElFWSVPImxz20AH3VYnC09XcQDBD46n6EjHEIKv0ROw8JiX0xqQL4d3/a3+BxoPr4ahLPf5cVr9yNuXAihefcgKVqB7G5I0ifdAq1qz8LE8QqfRRafQ801od37tqN6K6SRLHET0bA52Hv4jfY/fGzxA0Zxdg/PYh6kPzNDcs7yC00AlAR8JPUO5NS1aohQVZFD36UMgGFrD/9JRgQCHqVKAaYbEXnVODv0ePtDqUZJBlaWdfwPaX1BDWINgh6iUox4vd4aS3zkVJQyDbnIv6fvfuOk6sqHz/+OXf6zM72vslmN72RTkKAEFJARIqoKEVFLFhQ7OIXEfWnoiIiqKig0kFEBASlQwIk0lIgve8mm+29TZ97fn/MZpPNbpJNsrt3y/N+vfZF5pl7Z54JN7PzzDnnOQuq9/NA0SgurQG3hpSxjex+eiKt5X78HfsX9/iwWZPQe16DeVd2xnJnLmb3Sw8z7txPyZYrfSh51ATOvulRyt76L21Veyk840KyDu/0vX99l4IYIP7M9RhjF6GSuk5VNRtfPuRGiLT4z1j2ve9Rs89NNBigYff7oDWZk+f3qiAGKF/zEm/dfm3n7expp7Pga7d32xfY4faRMa77NG1hvTFnfpiSFf/osmY4b+5yXr3pI2idaNqaP2c5RYsvxetpwNlaR3zjk10ew3jrz4w7/09kn7KI3Fln4/AkPnMm5RQO3AsRI5pSKhe4HTgVaAKqgW8AXwWWAhoIAR/XWpcopZ4FrtBaNymlfgBcQWIg1QS+qLV++0RzsaQo1lq/eMjNt4CPdfz5YuBRrXUYKFFK7QLmA28OcIonzZOey9ill5E7YzG2+tswau7ocn9MZxCs2kvGhFnEdzzB4VW/bq6EWCQx7U2IwSLSQ9dRrVE6SrCxmn2r/43N4cI/agKBunJ8uUWMP+eT+DLzKVnxGKlFUxm79DLsnmC3ax4UyujezV2Ik6W1pux/T7Ph4V/izcxnxidvIOkII17BQIyN7zZyzkcSywK2xqPM7Sg0dlV5WOhvoiXShNfWtYN0rGPq9IHa0pNZjdPfQtOeCZ3HpLsbCcQ8NIWSSXUfpXGNzQvxJqKtOcz4xB7ee9jFsm+nMc6zgF11T5KXcw1PZbq4rDYxIzdjWi3lb4xm8mVbjviQKrMYc+1D6EADypv4IiBt7HR2Pn8vDbveI0O2A+xTqUVTSS2aesT7daSte7CtFh0Lc/jXE8qRzaGtklSsGq9+jrbqmWjTRsG8c0gtmordefS15QcEGqpYf++PusRqNv+PptKt3YpiMXhlTJzL4hsfZudz92LGYow750q2P/OXzoIYoGLdy5zx3b/i8tWg23qYTWLGyRw7jezCeQOYuRAJKvFt7JPA/VrryzpiM4FPkBgcnaG1NpVSo4B2AK31+R3HLQQuAOZorcNKqUygd98KHsFg2Kf4s8CBRYgFJIrkA/Z3xIYsb2YeES6Cur+C2VFQGF5aQ6cSiyRGh9W4s7qdZzvzWpQ3bSBTFeLYMidA6iho2n8wljuVluDBEjcxLW8TOhbFjEbwpGUzdullFC3+GIYt8ZajYy2o7KvQNfd3nqfyrwPPxAF7KWJkqNuxlvX3/phYOMDED33+qIUKJEaJC8f78CbZiWkojce52GmjLWijMeAhs8jGrpZWUlxd1xOHWz04PInpjDZ3kJSxu2guHQvmwdYdSkGBv4KdDeM4NX/9kZMwvBCtBR0hOTudjAk1bHzGzayPZlPsnktD6VP8ddIlXFLrwIUic3oNu56azKRPbDm8t+Mhj+lA5U5B73kDNf3ijnwM8mYvZefz90pRPMBUzjQw7HBI8zPj9C+hkrtvsWWkLccsy4BYfcfJduxj/o9ZHXvHHnhf7a14OES4pb5bPBqQDsNDic3hJGf6GWRPXYhG01q+m7pt3QfJdDxGyoQLMPf9E/y50FrVeZ/Kn4XKKB7ItMUQFfmO6wrgZqAQ2Afc4Lw1fLL7Fi8BolrrPx8IaK3fV0otAyp1xzc8WuvOD51KqVJgHpAH1HUMpKK1rjvJXPqv0ZZS6mWl1KYefi4+5JgfADHg4RN4/GuUUmuUUmtqa2v7MvW+55lFo/s2gik3EEz+P2riP+Kd+x7Cnz8WADX6VOxX/wuVOw1SCrBdeAvGzEssTlqcjCF1fR4HI7UA+2efQE3/MPgyUbMvx/7Jh7Gl5Hc7tnjZ5Z1TsaDrBzdlT8ZW/DNsU5/EKP4Vtmn/xlZ4Pcp2lM68os8M1+vzUIH6St6846usvvUack45kzmf/X/HLIgBXnqinJkLEiOpO+NRsgwDt1JsL41R4NoPniSC8SheR9dZPJFWDzZPGIw46ZM2E6jJIR7q3pymwF/B1tpjffljgM0HsUai7cnMunw/lZtD7H8vRrp9FKebk/EEqvil9xUC8SZ8+YlRx6ZdR/8iVeXPwtz6fJdY3uwlVKx9hWBTzRHOGlgj4doEUAWzsH/hP6jCU8Gfg7H8/zDOvLbLvvCdx/qmYZ+5AmPCXzDG/Q7bzDdQyWdg2OzHXRBDYibbqPkf7PocNjv+/HEn/HpGisF4fSrDwDBseDPzyZ5+Rpf7DIcLf/44lD0FY9QF2K+6BzX1vMTv77lXYrviPpQvw6LMxVDRURD/BRgDqI7//qUjfjKmA2t7iD8GXKiUek8p9RulVE/f2r4IjFZK7VBK/VEptfgkc0HpHvYvGwhKqc8AXwSWaa0DHbH/A9Ba/6Lj9gvAj7XWR50+PW/ePL1mzZr+TfgkNe/fyebH76By3Sv484qZ/ZkfkTVlQZdjdLAJ4tFu64nEoNWrRXhD4fo8XjoagmATeNNRdifRYBv7336OjY/8ilg4wKQLrmHs8stlKp61RuT1GQsF2Pb0Xex87h7y5y5n9BkXYXf27suWir0BvvvJd/j2L6fjcBo8GgpQreMstzu57792Uv2a/Iy9VDfvoiCliAN/xdqEmvfHkTK2krTx27F7ArSWjaGn/wUx08YT2y7iK/P+SpIzcJRsTIjWgSMLw62webby4o1nc/bXvSTnGZR6HfyjIJmrXv0RH0z9CuHVS3B4o0z/7IYjP6Q2ib/6K2zn/Rgje3JneOdz95KUP5aZV3y/V39PfWBEXps90aEWiAYhKXtA13W3Vpaw5YnfUbb6GXw5Y5h99Y/Jnn56l07EI9iQvT5bynex6Z+3Uf7OCyQXTGD21T8ma8qCLteWjgQh1Nz5+1sMOQPeACLyHVcpiUL4cHudt4aLTvRxlVLXAcVa62/2cJ+LxJripSQaMF+qtX7lwEix1rpOKWUDFpEYcf4i8H2t9X0nmo9V3afPA74HLD5QEHd4GnhEKXUbibnkE4B3LEixz6WMmsD8L99KuKUOhyep2/6uAMrTPSbEYKQcbnAc7FTq8CRRfPal5M5cjDbjeNJzpXGPGFBmLErJisfY/PhvSR49iTmf/xmeHvbcPJon7i3lWun6fwAAIABJREFU1LMycTgTk6jWxSMstrsI7fgfOwKf5xPjN1HVXE2S3cGhn0sirR5srgi+7CrcaQ007Z7AkT632I04o5PL2VQzldNGHe0DtQF2P8TqMCMFeNPTmP2pbay+eyrLvuuhiCh5EYO6cVfx/M7bOXuag/KHP8a0qzagjlTXKANj7FmY7zyAccHNneFRp32IdffcyJSLvtwnW/mI3lPuZHAP/BZH/rxi5l3zS6Z//NvY3T5cflmuNRwkF4xn/ld+S/jKWhwef4//npXTA07ZYkkclyN1XjvZjmybOdhXqouOadHPAc8ppaqBDwOvHHZMHFgJrFRKbQSuAu470WSsWlP8BxLd4F/q+OD8ltb6S1rrzUqpx4AtJKZVXzvYOk/veK+KdStLCYdizFtSxOR5+dhsvZuFbne5sWcdbY9KIYY2T9qxi5C25hCb3trP+6vLKBibxqxFYxg1Tj6QiRMTCwUofe1xtj39Z9wpmUz96NdJLhh/3I9TXtrO/16u4es/TUyxrjdNauMxCnat4L26SeT4A7gdYZrDbRQl+bucG2r24cut7VxHrM2jj7aNTSthTcUcFhSsOfIaYADlAUIQa6KtupAJy96ldks+b/5NsegrbpZVN/NQ8VRurr6A11puZVLuKdRuyiZ75pGnQqvC+ZglqzD3voUxJtER2ZOWTebEeWz7z93MuOy7vfr7EgOjbGcD61/fS9XeJmadNYbpCwrw+nvXUOtYbA4XPvlMMuzYna5efdaMx022ralgzYpSXG47cxYXMXF27jHPEyPSPnoeKd53ko/7KnCzUuoarfXdAEqpGUAasFNrXaGUMoAZQJdpUEqpSYCptd7ZEZoF7D2ZZKzqPn3ETyxa658DPx/AdHpt29pKvrLkfoLtiS03bHaD37/8KWYvktb1QvTWsw9s4LffOLj9+LjpWfzmP5eTM1pGqETvmPEYddveZd/qpyl76z+kFE5m0gXXkFI46YQeT2vNn362jUXn5eDx2dDV21nVUs0EhxfDlcwb7ecwLbuaxmADHpvCbu+6njgetpO37G3aKwt6XEd8uGxvLUppdjcWMz695OgH25IhVgeGj4Y90znjWyt4/rsXsPbvinlXwvi2EC+Nm8c525rYdcZ1ZKz8y1GLYmwOjBkfI77iN6iP/gHlTyxxKFz0Ydb97UYmnPtpPOmy7GEwqCxt4tsX/p2ynQ2JwM9XccNfL+DCq6Upmjh5G1aX8bVzHiIeS3Sr9vgc/HHFVUye273ZmxjxbiCxpvjQLUICHfETprXWSqlLgNuVUteT2HqpFHgeuK1jCjUkZg3/4bDTk4DfK6VSSQyk7gKuOZl8BkP36SHj9ae3dxbEAPGYyWO3v80pC0dht/dbzzIhho3KvU3cdeOKLrHdm2rZtaFGimLRo1goQHtNGa2Ve2jat436neto2LEed3oOmZPmMffzN+NOyTyhx65oMlhb4uR/K2opb1B85PS1xF9cCw4Pr8/4OIvRbGqfTjDmoCitkR01lSTbNRgHR+qiQTuFZ68i3JJGuLl3S2CUgqmZW1lZeibj0kqOMVps6yiMa4gHC2jdP4llP3mZ5777Ad57XHHOZQ3cOSGfxbXzSYtUsc77B2a1LsPljx35ITPHYYxbQuzp72K/6Ncofw6e1GzyZi3h/Ydv5rSv3XHEc8XA2fFe1cGCuMOd17/CaeeOI6tg4Kdci+EjFjN59Pa3OgtigGB7lDee2S5FsejGeWv4kch3XND33afRWlcAH+/hrt8f4fiijj/WAaef7PMfSori49Bc170pSkNtO6ZpTbMyIYaaWCROOBjtFu8pJkYGrTWBunKa9m6ltWI3bVV7aa/dT7ChkmBjNfFICE9qDp6MPLwZ+WROnMu4ZVf02JehV8/XtJ/9O0v5ycqprKoqJt8sp7rBiy48g69um8OlRfPJGRMg6PDgbjS4f/N0lo3dRSjaRiQWJMnn4+B64TgpRSXEYzaCNce3fnlMShnb6iaxoWYaM3M2H/1gwwNmCGINBOvysLkCnPvzFbxww1LiDwY570uN3Doxn9sCS3kz7zFef2MM55xfdNSHVGPPwFAQe+I6bOfehJE3jcJFl7Dmz9+jasMb5M5YdFyvR/S9SLD7FxuB1gixqNnD0UL0nmlqmuqC3eI9xYSARGEMnHQRPJhJUXwclnxkCk/8uWvn8I9/9VScTunWKERv5I5J4fyrZvLMPe91xrxJTsZOk47rI0kk0ELl2pcpX/MytVveBA1JecV40nNxp2aRNWUBruR0XMkZOLz+k27apqNBzG0vEt/0DE+UL+Anld9iftIOlrSsoKLCxiXnOklOd7GjOY1/V81g9+4kkr1B7gx4OLOwlPzkVnbVlpHiAGXvWE+s4vhH7yYWctBelc/xNu1VCk4tWMvLe5ZQmLKfNHfz0U+wJSf2qVXttJWPxT96Fx+85UVevmkZjl83kPVDF/eMHcUnai5ibexhZjR/npyUo0+DVsVnYPjSiT9/E3r+1dinXcDED32ed//4bc695XlcyenH96JEnxo7PRuXx074kOL4Y9fOI2uUjBKLk+N02rj0q6eyYXVZl/iSSyYf4Qwhhj/LtmTqSwPVFj8UjLLm5RLu/dnrhIIxPnX9GZzxoQn4U2Vv1RFqyG7bYKXKvU08e//7PPfgRsZOz+Iz/3cmU+cXWJ3WcDSork+tNXXb17Dr+fuoXL+C1KJppI+fRdrY6bhTso5Y+Gozjt79BuaOl9FNZWCzozLGYxQtRBUtQDm6r+GNRU1Kd7ZRuqGc0ne3sHd7M+WtOazLWURTWgFFlZvI87QxarSNKdMcOBwHn3uLsvN83MdpAcjwBHHZ47SEmyit38EYr4HhzAdbnJTCncTDDuq3TsKVerStlY5ue914djeO5dMz/36MLZoAHYVYAzhywHDjzS7Dl7ublTcvo602mY2/LuZzDXX4XtxFc9GLfGHJl3Dbe9Fltr2O+Lv3YRQuwDjzK+x55VFCTTUs/sFDGHbHCb+2oxhU1+ZgtvHNMu67eRX7ttdzwWdncd6Vp8hSk/43Iq7P1qYQq/+7kwd/tRq3x87VN57FvOXFuD398m9e9B3Z2qOfSFF8AgJtEbSp8SX3TQdIMWSNiF+c/aW5IYDb58Tlkgkr/WRQXJ+mGafi3RfY8uSdRFobyJ97DjkzFuHwJB373KotxFfeBjY7RuECVEoBmDF0Uxm6agu6oRSVPwOjYCakFLB1u8F/n2xj7do4ab4AOf4GMnJcxEZP5tHAItI9ET5avBu3redNDcqUwaN2D0viETJ1YopqLB5lS837ZNvj+NxZ2JJMkgt3EW31U7XuFLzZjRi2k/s9uqlmKiVNY/jolH+T768++sE6DLEmcGSB4cXmaSO5cDubHi+k9K1CKn+TybWboXLbGyRP28flp16FzejFv7FoEHPNQ+BLx1j2fbY8+SfcaVmcdt3vMWx9/m90UFybQ0UkFCMYiJCS7j32waIvjKjrs605hGEz8CbJnsVDhBTF/UQ+jZ4AeeMQ4uTJB7zhLR6LsO+Np9j61J0YDiejF15A5qR5JHZXODodC2O+fQ/mjlcxpl2Iyp/Bod2oVEoBasxpEGnHrN7O+tf389jzJrXNHhZMreFrV8Tw52RT55rLP0om8VpVAeeN2svcjJoem1pFgDdtTt4xHCw0Dy2IY+ys24rfBj63G09+PZ6MagJV+dRtGY87rf2kC2KA6dlb8Lta+fumS5mUsYOFo94lw9vY5RhTK5pCKbSE/WgdJ9lWRrqvkTipNG6fS/HCJlxJ+zGvNYnc+yLzP9VOKNjCu66byfbnolAo04Et5sERTsUVyMTTVoCrPRuFAQ4PxoKrMd9/HPPp7zLlgz9ky7MP8vovrmLhN+7EdYJruMXJc7rtON3ycU30j6QUme0oBEhRLIQQog+115VT8upj7HnlYbyZBYxbfiWpxdN7tS5Yx6Pona8Sf+d+VPoYbIu/Ca6D2x9prTF1nGgszt7SOO+tjfPaq0W042bqfD9Txnppjs7lqfYk3t+RSWlrMnMza/jGtPUkObo3LWrFYJ3NzruGgxwzzvmxMD40WmtaI83sbdhFsjNOfl4Qb147saCX+i3TaK/KxJXSht0d7rO/tzEpZeT6qtlWP5H7378Cpz1ChqcB0LSG/TSE0vDYg/icARSatkgS0biNCWlbmZ5bQpFpkFlsMvVDcR7/9IX4zgnyoaWVOH3rqPY2UuxcQHKKC5XWQiypmaC/jJril4jbg3haR+FrHE9S01jcsz+K2vka5pNfZ8rZ36J0x05e+PY5zPr0jYxaeAHG8S6eFkIIIYYAmT4txIkbUVOsxJAzINdnsKWZ0rXvU75hHbVb38Rs3s2YOXPIm7MUX3oKBMoh1g7KgalSaW02aGkMEwlFsRPGqdswWysp37ub3SX1lDTkUdmQTVurm7ipsTnDGN4QMbciYCbTEiqkJTaa9pR0gv40QrZkXEY7blsAty1Ckj1GpjtCcXKIKckhVMQGcYO4zaTJo6l2QJUyKFM26pVBkRlnso6RYpoEo620BGpppxZPUoDsrDCelBjRNj+t5QW0VeRg2OK4U9swHD1Pwe4LWkNTOIW2SBJo8DiCpLhacNi6FvZtES/7m3PZ2zya1kgqhSnl5PrrcBNk/24HbfudqFwbzpQ4TncDaYTIizkY440ycWwNKaP2Y2aVEc8qx0htwZ0VwZVs0l7tILzfhbMkREp7LkmuM2nctot4KEjRWR8jb9ZiUounYXOc8BIiee8Ug5lcn2IwG1bTp5VSPwCuAOKACXwRyAJ+ChiAA7hDa31Xv+cyHIpipVQtsLePHi6TxN5XVrH6+SWH3j9/ndb6vGM9UB9fn4ey+u/ISiP5tcMAXJ/pHpv9h2dnT8z3OzwtAR//eu18mtr7t8FP3GZnx4yltKUevWsygEsFSLbV4TOaUfTPFjVaK2KmDa0H/2eQCB6azRwinPyyhPzcvfzqli+QlVnT63OCKx0E/3bwuctbosGfrqzZ0RiK97Rhcn++dw7m94bBmttgzQusya2/rs/B+vc8WPOCwZublXn16vocCpRSC4HbgLO11mGlVCbgA94E5mut9yulXECR1np7v+czHIrivqSUWqO1njdSn19yGBzP3xtDIcf+MpJfOwyd1z9U8jxR8voGn8Gc82DNbbDmBYM7t+M1WF/LYM0LBm9ugzWv/hR9w3kFcDNQCOwDbnAsipzUvsVKqY8AV2utLzwklg5sA8ZorQd04+xjdzwRQgghhBBCCDHidBTEfwHGkJi+PQb4S0f8ZLwIjFZK7VBK/VEptVhr3QA8DexVSv1dKXWl6k2Hzj4gRbEQQgghhBBCiJ7cDN3W5ng74idMa90GzAWuAWqBfyilPqO1/jywDHgH+A5wz8k8T29J9+nu7h7hzw+Sw2B4/t4YCjn2l5H82mHovP6hkueJktc3+AzmnAdrboM1LxjcuR2vwfpaBmteMHhzG6x59ZfC44z3mtY6DqwEViqlNgJXAfdprTcCG5VSDwIlwGdO9rmORdYUCyGEEEIIIYToJvqGs5TElOnD7XUsihSd6OMqpSYBptZ6Z8ftnwG5wENa65UdseXA7Vrr6Sf6PL0lI8VCCCGEEEIIIXpyA4k1xYdOoQ50xE9GEvB7pVQqEAN2AV8H7lJK3QUEgXYGYJQYZKRYCCGEEEIIIcQR9Ef36cFGimIhhBBCCCGEECPWsOg+fd5552lAfuRnoH96Ra5P+bHop1fk+pQfC356Ra5N+bHop1fk+pQfi35EPxkWRXFdXZ3VKQhxRHJ9isFMrk8xWMm1KQYzuT6FGF6GRVEshBBCCCGEEEKcCCmKhRBCCCGEEEKMWLIl0xBg1uyAyo2gDMifgZE5zuqUhOikWyrRFRvQgQZU1iRU/ikom8PqtIQYcGbNDqjaBCjIPwUjc7zVKQkhhhhtxtGVG9HV21DuZFTBbFRKntVpCTHsSVE8yJn73yN213kQbEwEkvOwX/MsRu5UaxMTgkRBHHvsi+htLyQCysB+1WOo6Rdam5gQA8ys2EDszx+AQEMikJSN/YvPYeRNtzYxIcSQone+SuxvHwYzBoAqPhPblQ9gpBZYnJkQw5tMnx7kzHfuOVgQA7RUojc+ZV1CQhxCl79/sCAG0CaxJ7+ObqmyLikhLGCuefBgQQzQVoO54QnrEhJCDDm6vZ7YU9/qLIgBdMkq2L/OwqyEGBmkKB7EdDyOrtjQLW5Wb7EgGyG608Gm7sGWCnSkfeCTEcIiWmt0+fvd45WbLMhG9AVtmpg7XkbHwlanIkYQHQlAQ2n3+KGDI0KIfiFF8SCmbDaM+Z/tFred8hELshGiO5U1MbHWPWUU+DITsWkXoZLzLc5MiIGjlMI49SrIGAtOb2fcmHWphVmJk6H3vUPs7g8Rf/q7VqciRhDlz0HNvjxxIykbOn6XquyJFmYlxMgga4oHId1cgbn7dXTJ/1Cj52C7/D7i//wS2OzYlv8ANf4sq1MUIiFnMrbPPIbe/F9wuFEFszGKz0A5PVZnJsSA0a1VYLNjjD0L/NkQj6J8GRgTllidmjhB5q4VkD8Tc+cKq1MRI4iyOzGWfx/Gn4Xe+zboOGrK+ZB7itWpCTHsSVE8yOhwG7Fnb0KvfTAReBPU1A9h+/ZalN2JSh2NUsraJIU4oGQ18fsuBa0Tt11JqK+8glyhYqTQsRDxV36NueoPnTFVfAbGpx9FdcyeEEOP3rkC45SLMVfcig40orxpVqckRggVqCf2+LUQCyUCb9+L/YvPw/jF1iYmxDBn6fRppdQ3lVKblVKblFJ/V0q5lVLFSqm3lVK7lFL/UEo5rcxxoOnanQcL4gOxLf9FtddhpBVKQSwGDR0JEn/llwcLYoBwG3rHK9YlJcQA07W7MVf/sWusZDXUbLMoI9EXdO0OVOYEyJ6M3r/W6nTECGJufPJgQQygTeJv/AFtxq1LSogRwLKiWClVAFwHzNNaTwdswGXAr4Dfaq3HA43A56zK0RLx6PHFhbCKNiHc2j0cliZbYgQxY4l/C4fRsYgFyYi+oGMRaKsDXyYqOQ9dX2J1SmIkCbX1EGvu+gW0EKLPWd1oyw54lFJ2wAtUAkuBxzvuvx/4sEW5WUJljUeNOa1rMGcyKmuCNQkJcQTK5cM46xuHBQ2MScutSUgIC6iMYtTkD3QNpo5G5UyyJiFx8pr3Q1ImyrChfFlSFIsBZczs3kzVdua1KJuseBSiP1n2L0xrXa6UuhXYBwSBF4G1QJPW+sAGbfuBEbVbufKmY7vsr5jv3JeYNj1xObbTPodKzrU6NSG6MaZ8EK64H/P1O8CThm3pd1CFp1qdlhADRrmTsX34t5hrHkZvfAI1dhHG6V/ESB1tdWriBOnGfeDPSdxIzkXXbLc2ITGiqDGnYf/8M8RX3ArRIMbib6ImLLU6LSGGPcuKYqVUGnAxUAw0Af8EzjuO868BrgEoLCzsjxQtY2RNQJ3/M1j+fXD4UIbVA/rieA3n6/NQypuGbc5lGNMvAsOGsrusTkn0wki5PgeKkTkO47yb0Eu+CQ4vyrBZndKQNRiuTd24D5WUncjHn4ve9rwleYjBZyCuT+Vwoyafixp3FqBRDtnNQYiBYGW1tRwo0VrXaq2jwBPAGUBqx3RqgFFAeU8na63v1lrP01rPy8rKGpiMB5BSCuXyS0E8RA336/NwyumVgngIGWnX50BJvGdLQXwyBsW12bQffBmJPyfnJkaOhWBgr0/lcEtBLMQAsrLi2gecppTyqkRL5WXAFmAF8LGOY64C/m1RfkIIIYQYYXRrFcqdmrjhSYVQKzoWtjYpIYQQ/cqyolhr/TaJhlrrgI0dudwNXA98Sym1C8gA/mZVjkIIIYQYWXRrDXhSAFDKAG8atNVYnJUQQoj+ZGkrO631j4AfHRbeA8y3IJ1+Fw22EY+GcSdnWJ2KECcs1FyPzeXG4fZZnYoYJrRpEmptwOHxYXfKdEFhsfY6cB/yMcSXiW6pQknzNNHPwq0NKJsDp9dvdSpCjDjS330AmPEYtVveYuOjtxJqrGbcBz7NmEWX4E2XjtJi6Givr2DvysfZ/coj+DJHMf0T3yZrygJZ9y5OSlvVXna99BBlq/9NcuFkpl/6TTImzLY6LTGC6fY6DE9q523lTYPWKgszEsNdqLmOsjf/y47//AWHN5npn/gWOTMWYXNIrw4hBop8mh0AjXs28frNn6Zh13oC9RVsfOSXlL72+LFPFGKQ0KbJ7hceYNNjvyFYX0nd9nd5/eefonHvFqtTE0NYLBJkw6O/Ysd/7ibYWE31+6/x2s+upKV8t9WpiZGsvR7cKQdve1LRLVIUi/5T/u4LrL/3Jtpry2jau5lVt3yO+p3vWZ2WECOKFMUDoLFkI9qMd4ntfO5egk21FmUkxPEJNlaz64UHusTMeJSWfdssykgMB4Hacva/9WyXWCzUTkv5LosyEiOd1hoCjeBJPhiUolj0o0h7CzufvbdbvGbTaguyEWLkkqJ4ADg83ddeuvzp2OwOC7IR4vgZdidOX0q3uM0l6z/FiTPszh7XENucbguyEQIINYPdibI5O0PKkwYtlRYmJYYzw+HElZLZLe7yp1mQjRAjlxTFAyB93Gw8GXldYqdcfj3OpNQjnCHE4OJOyWDmp27sEkvKLSKt+BSLMhLDgS97NNMv+26XWPqE2aQWTrYoIzHitdeB57BixJuGbq22Jh8x7NmdbqZ+9Gtd9jh3+tPInn66hVkJMfJIo60B4M8v5uwbH6FuxxrCrY1kTJhD+riZVqclxHHJm7uMs3/0GA071+NOzSRj0jyScgqtTksMYUopis6+lORRE2jcvQFf9mgyJs7Bk55jdWpihNKBRnAnd4kpdwq6vc6ijMRIkDVlAUv/37+o27EWu9tH1qR5JI+aYHVaQowoUhQPEH/+WPz5Y0/4/PaaMtpr9+P0pZCUPxa7TC8UA8zudJM9dQHZUxd0uy/UXE9r5R6UYcOfPxaXzIIQvaBNk3BTDcqwkT//A/hzizBs8mtJWCjYiHIldY25k9Ht9dbkI0YEw2YnY8Lsbp33o8E2Wit2EwsHScotkl1LhOhH8uljCKjbvoZVt3yOSFsTKMW0S7/FxPM/i8OTdOyThehnLRV7ePuOr9FYugmAnJmLmfeFm/FljbI4MzHYVax9mbd+9zXikRCGzcG8L/6SwjMuxpB+C8IiOtgMzsP6gLhTINBgTUJixAo11bLxH7dS8uqjAHizRnHmd/9K6pgpFmcmxPAka4oHuXBrA2vuuj5REANozebHfkNTqWyFIwaHfW882VkQA1S//xrVG1dZmJEYCtqq9vL2nd8kHgkBiW7ma+76Pq2VJRZnJka0QCP0MFJMqBltmtbkJEak+l3vdRbEAIHa/Wx54nfEomELsxJi+JKieJALtzb2uD1JsEG2hxDWi0fCVL63olu8dsvbFmQjhpJgcy2xYFuXmBmPynubsFaoGRzeLiFl2MDphWCjRUmJkai1Yk+3WO3mt4geGCQRQvQpKYoHOVdyBik9dGL1ZhZYkI0QXdmcLvLnLu8Wz5620IJsxFDiSc3G4e3a0MiwO/FkyJo50f/Kw0GC8Xi3uA40opze7id4UhOdqYUYIMmjxneL5cxYJDuXCNFPpCge5FxJqcy75pe4U7IAUDY7Mz55AyljZMsSMTgUnnExmZNO7bxdMP88sqefYWFGYihIyilkwdfuwN7RG8HmdDP/K7/Bnz/O4szEcBfXmrHvPMuXd67tfmegAVz+7nFPqjTbEgMqfdwsxn/walAKAH/+OKZcci02h8vizIQYnqTR1hCQMWE2y3/xDO01ZTiTUkjKG4tNGtGIQcKfV8wZ3/srrZUlGIYNf14xDm8PHyqFOEz+nKWc+8tnCTZW40rJxJ9bhDLku1rRvza2N+M2DF5qrEZrjeooOgB0sAmV3H22gnInQ3vtQKYpRjh3SgYzLr+e4rMvJd7Rfdqdkml1WkIMW1IUDxHejDy8GXlWpyFEj1xJqbgO20pCiN5Iyh1DUu4Yq9MQI8im9mbOTM5kfVsTZeEghe5DpksHGnseKXb5E3sYCzGA7C4PaUXTrE5DiBFBvpIXQgghxIixK9hGrtNNsdvHtmBL1ztDTajDt2QCcCbJtkxCCDGMSVEshBBCiBGjJNROtsNNvsvDrsM6oOtgc/ctmQDlSkK3S1EshBDDlRTFg4AONmPW7kJLZ0sxRJlN+zHr9qBjEatTESOQDrUk3kPbZM2nOLbySJBMh5Nsh4uSYHvXO8Mt0NNIscsPAWm0JaylzThmfQlm4z601lanI8SwIkWxxcz964n95UJiv5pG9M5lmHtWWZ2SEL2mw+3E37mf2G2nErtlOrEnrsOsL7U6LTGCmBUbiP3tko730CWYu16zOiUxyFWFQ2Q4XGQ5XOwLB7reGW7rtk8xkFhTLF9cCwuZzRXEn/0hsVtmELt1Nubrd6BlSr8QfUaKYgvp1mpiD12J3vd2IlCzjdjfPoxZt8vaxIToJV22hvhj1yTW2plx9Dv3Yr71F/kGWwwI3VZH7OFPo0s6vkys3Unsng9j1my3NjExqNXFwqTZHWQ7XJSFg51xHYtAPAb2Hra8cfsTTbiEsIje9DTmyt9APALhNuLPXI+WgRQh+owUxRbSjfugbnfXYLgVXV9iTUJCHCdd1n2fT3PNQ9BWY0E2YqTRTWVQvbVrMBJA1+/u+QQx4sW0SWs8ht/mIN3hpCoSOnhnuBVcSV22aDpAufwyKicso6MhzHfv7xaPb3nWgmyEGJ6kKLaSO7nHb6SVJ9WCZIQ4ASndtwlTWRMTnVqF6G8uPzi7T3VVnnQLkhFDQX00QrLNjk0pMuwuaqKhgzNbQs3g6mE9MSR+XwebBi5RIQ5lc0LejG5hI2eyBckIMTxJUWwhlTke24d+0SVmnPV1lLzJiSFCFS1E5R/yi9ruxvbBn6CO9MGwzLjSAAAgAElEQVRSiD6kMsdhu+jWLjFj4RdRuVMsykgMdvXRCCk2JwBOw8Bt2GiMRQHQodaem2xB4gsYKYqFRZRhYDvji+BOORhMLURNPs+6pIQYZuxWJzCSKcOGMf8zqNFz0PUlqJQCVP4MlMtvdWpC9IqRXgSffRLK30dH2lG5UzHypludlhghlFIYc65A5U5D1+9BJeehCmaiDv3gKMQh6mNhku0HP/qk2h3URsOkO5wQOkLnaQCHB2JhdCyCsjsHKFshDjJGzcF+3Rvoyk0oww75MzAyiq1OS4hhQ4piiymXD1W0EIoWWp2KECfESB0FqaOsTkOMUMrpQRWdBkWnWZ2KGAIaohH8Nkfn7TS7k9pomEn4IdyC6qnzNIkvYBKjxY3gzxmodIXowsieBNmTrE5DiGFJpk8LIYQQYkRoikVJstk6byfbHNRHw0DH9GmH58gnuzuKYiGEEMOOFMVCCCGEGBEaYxG8toOT5Pw2O/WxSOJGqKXHxm2dXH50QNYVCyHEcGRpUayUSlVKPa6U2qaU2qqUWqiUSldKvaSU2tnx3zQrcxRCCCHE8NAYi+AzDimK7Xbqox1FcbjlqCPFyiUjxUIIMVxZPVJ8B/C81noyMBPYCnwfeEVrPQF4peO2EEIIIcRJSUyfPlgUJxn2g9Ong82oo02fdiWhpQO1EEIMS5YVxUqpFOAs4G8AWuuI1roJuBg4sEP5/cCHrclQCCGEEMNJUyyK75A1xUk2Ow2HTp8+QqMtINGZOiAjxUIIMRxZOVJcDNQC9yql1iul/qqU8gE5WuvKjmOqAGnzKIQQQoiT1hSLdp0+bXPQ0DF9WodawHmUkWKnT/YqFkKIYcrKotgOzAH+pLWeDbRz2FRprbUGdE8nK6WuUUqtUUqtqa2t7fdkhTgecn2KwUyuTzFY9fe12RyL4Dt0+rTNTlMsmrgRPvpIsXIlodvr+zwnMXTIe6cQw5eVRfF+YL/W+u2O24+TKJKrlVJ5AB3/renpZK313VrreVrreVlZWQOSsBC9JdenGMzk+hSDVX9fm83xWLfp083xjqI41HaM7tNJ6EBDn+ckhg557xRi+LKsKNZaVwFlSqkDu5AvA7YATwNXdcSuAv5tQXpCCCGEGGZa412nTyfZ7DR3jhS3HrPRFlIUCyHEsGQ/9iH96mvAw0opJ7AHuJpEof6YUupzwF7g4xbmJ4QQQohhojUWw3vISLHXZqM1HgNAh9uO0WjLD6Hm/k5RCCGEBSwtirXW7wHzerhr2UDn0t8aS7dQue4VQk21FJx6LhkT52J3HeUbaSGGsHBrE3Xb3qHyvRUkF0wkd9ZZJOePszotYaHmsh1Url9Be80+8ucuJ2PyqTg9SVanJUYQrTVtZgzvISPFPsNOazyK1hrCrcfYpzgJUxptiUEs1FJP3ZZ3qHr/NVLGTCF35ln484qtTkuIIcHqkeIRoWnfNlb+5BNEAy0A7Hrhfk7/9l2Mmn+exZkJ0fe01pS8+igbHvlFZ8z3/BjOvvERfNmjLMxMWKW1Yjcrf3o54eY6AHa/9BCnfunXFC+RiUBi4IRMEwOF00isHItF4tgUKBRhbWJEjr2mWLpPi8HKNOPsev5+tvzrjs5Y8qiJnHXDA3gz8izMTIihwcpGWyNG/fY1nQXxAZsf+y2R9pYjnCHE0NVeu5/N/7q9a6x6L037tlqUkbBaY8nmzoL4gI2P/ppQk3RvFQOnJR4lqWPqtGlqfnPao/x+yb9IMgyaohEItx91pBhXUmIvYyEGofbqMrb9+09dYi37d9C8b5tFGQkxtEhRPADiHXsgHioWCaBN04JshOhf2oxjxqK407LJnDIfZ1JqIt6xbk+MPGYP/+/j0RCmGbcgGzFStcSjndsxla2tRgHhtigp2yO0hNvAMFA2x5EfwOGBaAh9oFu1EIOI1rrH37M9vf8KIbqT6dP9QLfWYO54CfPdB1D5Mxgz9WK2+FKJtB+cdjX54q/g8qdamKUQ/cOXWcDS636Fq2wVzpqNhGZ8kOqIj5TRk459shiWUsdMweZ0E4+EOmOTL/oy3vRcC7M6fmbFRsy1D6H3r8eY90mMyeei/EPrNYxkbfEYXiMxUlz6ZiX5MzIxHDaq32ql9fwWcB59jbtSxsEp1EmyHY+wnq7eRvy9x9C7X8c746Ocfs1PWH3XDzvvdyVnkDJ6ooUZCjF0SFHcx7TWxN++B/P5HyVu71qJevdBPnDDE6x76j6CjdWMP+8q8mYtsThTIfqHCtTjX/ULqNoEgLtkFWOmXYgj/RsWZyaskjpmCmff9Cg7nv0bbZUljDvnk+TPXW51WsfFrN1F7K7zoD0xDTy++zX08huwnftDlCGTroaCllgMj3FgpLiGzAmpOL12nC/U0BJqPfp64gPcyVIUi0HBbCondu9HoW4XAHrPG2TPuZyFX72Nrf/5G+njZzL+nE+RlDPG4kyFGBqkKO5jumk/5qu/6hoMNmJvKmH06RcBmrSiabj8aZbkJ0Rfaa+roKlkE7FwgORRE0gtnIIyDMyabZ0FcafNz6Drd6MKZlmTrLBcxoTZLPjq7ZjxGHanu9+fL9RST1PJZkLNtSTljCG1aNpJdfzXlRs7C+IDzJW3Ycy/CpVedJLZioHQGo92bsdUs7OJCUtH4cvwwO3tNAeP0WTrAFcSOtiE6udchTgWXb21syDujK1/lIIl3yHvJ49jOF0Yhu0IZwshDidFcV9TgOo+atBeW85b990AgNOfxtk//DupY6YMcHJC9I22mjL+d+s1NO3dAoBhc7DohvvJmX5GYophj+Rj5Ehn2OwYtv7/tRNpa2bDgzdT+vrjnbGZn76JlMJJpBRMwJOec9yPqVQP129PMTFotcVjeAwbZtykYW8LKflJODx2lMdG+Z6Go+9R3EG5kiDYOADZCnF0ZuxIa9sVdreXeCxC/Z6NtJbvxuFLIa14Ot4MWe4hxJHInK8+plJGYVv+g67BpCwa2g82lIm0NlL6xhPoSDCxN6IQQ0z9jrWdBTGAGY+y8e+30LBjLQ0tQcjvOiKsZn0clSn7FIve05EQ+ogf+rqKBtuo2rCKzf/8LSUr/0nD7ve7FMQAm/9xKzUb3uDtP36bYGPN8SeUNwOSu36gNJZej0otPP7HEpZo6SiKW6sCuHwOHJ7EFzSOMV72bWpCHa3z9AHOJHSwuZ8zFeLYAoYfndl1vXB8+qW0hmDfa49R9uZ/2Lf637zzx2+x+tef4+3fX0egodqibIUY/GSkuI8ppTDmfxrSCjHX/wOVN41G71jW/+XnXY5r3bed+ONfhqRsjPlXY+TKqLEYOoI9/GJtr96Hc89L2EtXE192I1Ssx17xHsbU81GTP5AYYRHiGHSgAXPbC5ir7gR/LrbFX0cVnY46yjTAsjf/w5q7ru+8Pf2y73Y7JhYOYNid1Gx8g6bSLXjSso8rLyNzLPYv/Bfz/SfQlRswZl2KMX6prCceQtriMdyGjcZ9rfhzDo4Ku0Z5qNrSCqf1pij2QUBGioX16qsqUBOuJHN8Hc76bYTy5rG/LsioinXkrf0d4YLTsGdNIb70Mva8+ii1W9+mqWQT3hOYKSPESCBFcT9Qvkxssz6GbdbHAGh64X7sbh9jFl2CUgb7332BwqmnYL71U4iFMbc+i/1LL2GkyObqYmhIKZ7GhPM/S6Cuksq1L2PGoxSdugTnew9D3Q7Y8wpNH7gD9wevJDlfRohHqmioHcPuxGY/yjY3hzE3/Yf4Y1/ovB3b+hz2r65EFZ7a4/GB+ko2PHRz18eIRbp1u86YMAeHL4UJ532G+AluqWPkTcfIm35C5wrrJYpig6ayNpKyDhbAnqIk6v7XBIt6WRQHm459nBD9LLlgPK/e9T1c/nS8WQW0/u8xRs9bivut36Gb9qHy5pJiD2KffRZ7Xn0UgEhAZjkIcSTyFfcASCuazsQLPk/FulcoX/MSE8/7DGmOGMTCiQNqd6JrtlubpBC91FpZQtmqpyh59R+01+xjxqd+wMRzr6Q425UoiAHMOJ7GbUQDbdYmKywRbKxm5wsP8OpNH+Xt311H/Y51vTpPBxqJr/h116AZQ+9ZdcRzzFiUaKi9S2z3Sw9z2nW/x18wHoAxiz7CuHOuZPfLD1H6xhPUb3uXQF358b0oMeS1xKJ4DTtN5W14Mw4WwMlj/LTsDIPj2A3glMuHDjT0Z5pC9Epa8XRO/+afMGx2mko2U3DqOUwck4Xp8FEx73pWrNrAK489SMPe7RSe+WGUMkjOH2912kIMWjJSPAAC9ZVsfORgR+qN/7gV35XfJHPmlahwE7adL6EGoPmMECcrFg7y/kM3U7HmRQCaSjez4eFdLP3STbif+lyXY5XTS1L2aCvSFBbSWrPnlUfZ/M/bAGjeu5XK9a+y7GdPHbu5oGFHOTx067RgP3Kx4s3IY9zyK9j1wgOdsViwjaS8Ipb+5F8E6stpKd/N27+/Djp6OGx/5i4Mh5PpH/92zw20xLDUEo+SanfSXNGON9XZGfdluTFjmrpWH8ecWOpKkqJYDAo2h5NRCz5I5qR5xCMhnIFK9B8WUb/8Nt6595bO4zY9fgdTLvkqZ/7ffaQWTbUwYyEGNxkpHgBl//t3t9ieDe/yfqOP1bsj1J37e8yMCRZkJsTxCdRXdBbEB5jRMG3Rw9Z7upJgzEJsA7D1jhhcgg1VbP/P3V1i8UiIpr1bj3mucvuxnfvDrkGXHzX2zCOeY9gdTLrwS0y79Jv4skaTO+tsFt/4CCmjJuLyp5JWNI1Ia0NnQXzAnpcfIdRU2/sX1gvxaJiaLW+x4ZFfsu3ff6LxkGZ0wnqt8Rhew0ZLRRve9IPvTW6bHdtoO9v2+Y/9IE4/SFEsBoFAfSV7Vz3Flif/QN2OdQTwEP3Az6ncX9Ht2Io1L5E5cd6AdP8XYqjqk38dSqmrgK8DkzpCW4Hfaa0fOPJZw0tDdRt7NtcSjcQpmpJJ3pjUzvt82d03TnenZNK4ewOtlXtYdfdGzs6fQnaKND8Qg5sZj+HwJRNtb+l6hyuJlnNvxVe3AbzptCZPZMeLT7Jw6nIAmhuC7NlcQ6AlwuiJ6RROyLAgezEQlGHD7vQQC3adOm9zOI9wxmHnT1yO/YvPY256GpWUhZr6IYz8U456TtyWTjT3IySf+wEKJ2aQOalrEy27p3uTN3dqNhh9O0pcvXE1q351dedtx5N3suQn/5Tt9waJ1lii+3RzVYDiM/M74y5loEfZ2LTTy+JjPYgrSdYUC8tFA628d///Y//bz+JJz6fVLCa4vZr0nEV4srovx/Nlj8Zw9L63gxAj0UkXxR0F8TeAbwHrSGxGOgf4tVJKa60fPNnnGOwqShr50SefZNNbiTVqmXlJ/PbZKxg/I1HkFp55MSUr/kE0kCgk7G4faUXT2Lfqqc7HqH7/dbKnLBj45IU4DrFAKxM++Fm2PH57ZyxjwhxsTjevPXQnvuxCvOlhGve+woJrf4vN4aS+qpXbvv4Crz6eGCn0+p3c/vyVnHLaKKtehuhHnrRsTrn8e7z754MdoN3pOaQWTevV+crpQU1YgjFhSa+Or69q47ffeIFX/pkYlfX6ndz+3JWcsvDg9eXNyMeXU0h79b7Ecxg2ihZ/jHBzA56UrN6+tKOKhtrZ8q/fdY0FW6nZ/KYUxYNEWzyKx7DRVhPoMlLsMgxiRQ7Wrzz2FzfK5ceUfYqFxVoqdrP/7Wdx+JJxzLmJG69dRyxaBsBl181ixuyLqF3/NACGw8Wki7+Mzd67LyaFGKn6YqT4y8AlWuvSQ2KvKqU+CjwKDPuieO2K0s6CGKCuso1/3vkuX/3pHKrWvkjNtrdZ+I0/0lKxE2XYUMpg46O3dHkMZ1Lq4Q/bRXttOQ273yPUVEfKmMmkj52B3dWLTplC9KF4NEz9jnWccvn3iAXbsTndBOorCLc2cPq37yYaaKV0xT8Yf84n8aQnuqlvW1vZWRADBFoj3Hn9y/zmmcvxJbuseimiH4067Xw86TlUrl+JL3sUuTPOwp9X3O04rTUtZTtordyDw5dCSuFk3MnpXY4xzTj1O9ZR+tq/MKMhis6+lMxJ87A5EtfOtnWVnQUxJK6v333nRW5/7kp8yS60aRILtjPq1POwe5Iw41HsLg+7X/k7+XOX9tlr1vE40WBrt3g8HOiz5xAnp82M47HZaK8L4kk5+N7jNmwExzjZs8+gvS2GL+koH41cSSD7FAuLmR17uGfMvZJbfryNWNTsvO/R373HqY9fxrRxY9GmSXLhJCJtzex++WGUYSNt7Cmk9fJLSiFGkr4oipMPK4gB0FqXKqWS++DxB72d73ffs3XD6jJ2vlTCrqdvJW/OUkpf/xf7Vj+FMmzMvPIGYod05XV4k8k55chr5oINVbz526/QsPu9ztj8a2+j6KyP9u0LEeIYPOl5ZE6ax8a/34JSBlqb+HIKsXuS2PzYbUy55Ks4/Wls/udvKXvzvyz+wUPUVnQvFLavq6KtOSxF8TDl8CSRO3MxuTOPPhm1ZtNq3vjl1ZixCAAF889j7ud+hjv14Ohtw871rPzJJ9BmHIC9bzzJWTc8SO7MswCo6+H62rG+irbmEL5kF7Xb3qF8zYs0l22jcfeGzut22qXfxJdd2FcvGacvmckXXsO7f/5eZ0wpg6ypC/vsOcTJaYvHsIdMtAaH52AfBKdhEHTZmDvW4N3/NXH2uZlHfhBXEoSkKBbWSsorJqVwCqYji/qq7muIq/ZUsv+d23H605j3hV/wzh++0Tlb0eZ0c/ZNj5IxYfZApy3EoNYXRXHwBO8bNmafNYZ//uHdLrElH5lIxeobAcgYP5tNj/0GAB2PsevFB5jxyR8QC7XjTEoha+pppBZOPuLjN5Zu6VIQA7z3wE/JnnY63owT29s4Gmon0tqIw5eC09uL5iJCAMn5Y8mbuxRPeg7N+3cm1olqzfZn7kabcZpKN5M3ZxlOXwplb/2XlvKdjB7ffZr0ogsnkprtteAViMEi3NrAuntu6iyIAcrfeZ6xSy8jb/bBqdNlb/6nsyA+YOdz95B9yhkYho3R47uOLAOcecFEUrN8xCMhtv7rd1RvWs348z5D3syzCTXVkDFpHvlzl/d505n8eecy/1oHO/77V1zJ6Uy++Cukj5/Zp88hTlx7PIauj+JNc3XpOu5WNoLKxpSpTl57qe7oRbHTB+E2tGmiDOlVKqzhSclk4dd////ZO+/wqMrsj3/unZ7JlHTSSKMkhFAE6V2woFhQbGBf28+ui+6uunbXVVfXLta1F1xULIuoiFKkt9ASQnpvk0wyfe69vz8mTAgJrKtBEe7nefI8mfe+73tLbu7c855zvoeK/O1k5vop3tEY3iYIkDogHn3C1cQNGkP9jh/DBjGEhA/3fv020f2Gqer7Kir70RtvBDmCIGzroV0AMnth/iOeYRP7MvePY3n/yTVIksLEWQM44ay+bHwktHon7ffSB9BeW8rWtx7g5Ce+xZr832vGHShYAxBob0UK+H7W8TpKd7D1rQep3/Ej0VnDGH7ZPcT0U1cMVQ5NwN1GwN2GNXkAttQc1j57MzUblna5D9try4jOGkbF6s/InDEXQatn4IhEbnh8Oi/dtRyfN8jgMclcdtdEDAZVBfNYJuhx0VZT3K3d46jv8lmR5W59FEUJq0kPHJHITY+fwIt3fY/PGyRnZALzbs5Bq5WRfH7czbUAFC35F6JWj85sxWCLw2CJ6vVzMliiSJ80m+TRJyOK2p8sLqby6+CSgkitfkxRXVXxDaKIR6NlyLBIHn+smWBARqvr2eAVRA3oI0Le4ojev4dUVH4q1pT+DErK4s6YKu69eDEVe5oxWw383z25OFY/SXvVbrQmM6768m5jXfUVoYUdjaaHmVVUjk16xSjuhTl+10TFm7n6wamcdulQggGZ5KwoRMVNxeBx1G9fjUarD4fshcdkDkGWpEPM2ok1tT+iVt/Fo9J3wpmYfoaX2NvSwOonr8VVWwZAc9FmVjxyGTMe/gyzWlNW5SA0Fm5k65sP4ne3MeDUKzDZ44kfNJrKHz/r0i9mwHC8rfX42prZtegZorOGEmk1cN6No5lw6gC87gCJ6TYsdjUf/ljHYI8lcfhUajYt69J+oFZC6rhZ7F36VpfnZ/9TLgt7eU0mkUFJa7n/STtBxYjQsoXtzzyCff4r+D1tZJ5wPlvfeggAOejH19qIOT4FZ1XRT1qU/DnoDD89CsLvaaetqoig101kn3TMsUn/fZDK/4ysKHhkiUCTD5Ot62KFRhDQyDIRcSbiEtxs2dDKyLGHMHiNVvA4VKNY5TdHEEUGjUrl2W/OY8+qtQQdRbRuuZeWjsVFUaMjOjOPqnVLuozLnD4XUTWIVVS68IuNYkVRynrjQH7v6HQa0nP2VzHVM/KqRyhb+QmtlYWMuPJh8t9/DJ+zCXt6Ln3Hn8Hy+85j/G0LiBt0aNVpW2o2k+58m/x3/kZbbQlpE8+i/ymXodX97/mY7fUVYYN4H/42B+11ZapRrNIjzupifnj4YozWGNImzWbzq3cjSwHSp8yh30kXs/ebdwFIm3gW9rRcNr7yl/DYuvyVJI+cgUYj0neAWoZJpROt3kTapHPwu5w0FWxAZ7YyYOYVVKz+nMThU9F1pHXE9BvGlHveZ+/X7yD5vWTNmEds9vHheTwtDez5YgGSr2u2TtOezexc9DR9J5xJ7rm3sXfpW2hNZjKmnMvepW9R+v1HTLj9NfTm3076wtvaSP57j1Ly3QcAGKPimXjHv4jKUEVwehu3LGEQNbgdPozW7h58kxzArbGSnWdhzQ+OQxvFBiuK24GgPtJUjgC8rY2UffkY0fF9qan+Aa+jPvQ8PeVyKtZ8gS7CQu6cWyhd/hGyFKD/zMuJyhj8Wx+2isoRR2+UZCoBlP2b9vusKIqS9Uv38XslMiGNuOxRuOoqaKnYzfDL76e1fDdt1XvZ9u7fUKQg61/6E5P+8iaiqMEYnYAodl+5EwSB+EGjmXTX2wQ9Lgz22B77/RR0JjOCRosiBbu2q3nFKgehvaaEoKedvjMvZ9eiZ5GlkOpl6fKFRPUbxvg/voyo1dFWXcyap67v4tGL7EUhI5Wjj4CrBb3ZxqDZNxL0udn7zTvEDxqLRt/pLRa1OuJyRhN3kJJ13pYGIqITu4ViCx2e5PKVnzB03p0kjZxO0Otm16JnCHYoQrsbqw6LUazIMh5HHaJWh9F28PzU5r1bwwYxgNdRz/YPHmfsLc+r1QV6mXYpVKPY3eRBH3lAvVYFjJIft0bHgJxIPv+o9pBzCUYruJsP49GqqPx0mvduo+Tb90EQSBw+lUGzb0RnttJUtBk56Cc6Iw9vSwPH/eEhKtd8QcHiBZR89yET73idyAT1O1pFZR+9ET498oDPInAu8Edgcy/M/7vGmtIfjd6IRquntXw3uxY902V7e00x5asWs+vjZ8g68SL6n3Qp5rjkHufSmSLRmSJ/0fFEJmaSO+cWtr//WLit/ymXYTlMYYQqv390EaF7TlGUsEG8D0fRFrwtDSCEFlZEvSHssTNF9yF24EhqNn+HxmDCljIAg7W7KJLKsUt87jiKlrxBzaZvAULejdOuRNT+tK8mye9l18fPkjl9Ltvefii8IGNPz8Xv6lQIDvo8FHdENOxDYzChOYThKUtBnFVFuOorMEXFY00Z8JMMVXdTDUVfv0XRl6+jM1s7DPIZPY511VV0a2ss2IDf1aoaxb1MuxTErNHQ3ujBaDnAUyz5McgB3AhkZJioKPPg9UgYTQdZfNabUdxqrWKVIwNXfcdzRFGo2bSMmk3L0JksDLvsXjRaPUVL38RoiyMqawhNRZvxOZvwOZto3rtVNYpVVPajN8KnmwAEQRCBi4D5wBbgVEVRdh5q7LGA0RbL4HNvpbVqD76Wxm7brSn9cVYWIvk8FH72Ehq9kcFzbj1sioAarY5+J11C7IARuBoqMUX3ISpjMDqj+bDsT+X3jzVlIKljZyEgoNEZughr6UwW2muKiYhNxhAbzQkPfExrRQGiRocpJpGVj16Bt7UBgIS8CaRPnoM1pZ8auqUCgCUxg4l/foOWsl3IwQC2lP5Ykn66PqPk9+Ks2oOzooDcc29DDvgQNFqM9nh2LHwi3E8O+kkedXKXvLohF/6JyIS0g85duW4Ja5++Max8Pfi8P2JJ6kfDztXEZo8mLmcUpqj4buPKVnzM7o+fAyDoc7Pm6RuY8tf3ic/tXpopsofazQlDJqCPVHNVe5t9nmJXYxuR8QcsOEhejLKES1HQ6UUSk40U7XYxePhBoggMkaGcYhWVI4CeasDHZI/C29pE2YqPAXA1VLBhwR3knX87+e/9HQCfU412UFHZn19cT0AQBJ0gCFcDO4GJwJmKosxTDeJOfG3NBNpbcZTuIPvM6xA1odAtU1QCmSdcSOWaL8N9S755D19rd+O5N9FHWIjPHUvGlDn0GTLxsKiwqhyZyLJES9kuKtctoWH3evyu7jVeD8RgsTPs0nuIzRnFiKv+hrZjAUUXYWXQ2TdS8v1H1GxZTvygsdjTckibcCaJx01j57+fChvEEMov9rU1s/z+C3AUbz9s56hyZCPvV15JCvjxu5zozVZi+g/7nwxiAH2kncwTLqS9roztHzzGzkVPs2PhExis0egj7QiCSMromaRNPIvjrniQCbe/xsirHmHKPR+QPmVOl8VHr7OJuu2rqFq/lOa9+Wxc8KcupaC2f/A4shRAYzCx7e2H2PXxMwQPqADga2vu5pEGaNi9vlsbQHTWELLPuJbQmjJYkvox6Oyb0erV+t29TdgobvJgONBTHPBhUCTcHYlfiSlGive4Dj6ZPhJUT7HKEUJUZl7X50hiJumTZrP7k2e7dlQURK2O0df9k5zZN2BNHdDleayicqzTG+HTJUAQ+CdQDgwRBGHIvo2KoizqhX38LlEUBc/eNXhLNqEoBmwpA9i56Gmyz7gWhJCXeAMqvSQAACAASURBVMOLd3RRlY6ISz5kSJ+Kyi+hdtN3rHri6nBOeb+TLmXwebeiN9sOOc5kj8Nkj0MKBlBkhfa6UuSgn92LX8TnbMKSmNkltD/obiUzbzhZOTnU19RQ9MNnKLKEp7mWQefcTO3W74nKVL3FxxJttaVUrvmS6o3fkDh8KsnHn0TV+q/YsfBJFFkiIjaZ8be99D/fF33HnU7A7WTPF6+ii7AwZO6f6TNkAnE5owh6XRhscWEj0zTihB7ncDfXsv3DfxAXG41eoxCUB3WrjQzgrCxk79K3GTDzCmq2fEd7TUmXGvManRFzXAquhq5h0RHRCT3u12CJYtCcW+g7/gyCPg+RCWkYbap60+Gg0yj2dhfaCvowEvIUAyQkGdiz++BGsWCIRHE1Hc7DVVH5yex7jiQfNxVvQzkCArW71mKKSiDgcnbpK2r1+NodyEE/Pzw4l3G3LSB55Izf6MhVVI4sesMo/oaQsNbQjp/9UYBDGsWCIGiADUCVoiinCYKQAbwPxAAbgYsURfEfao4jEW9LIy27V+GvLyYiIQOTsxp9bBSWlH7sXPQ0AANnXY3RHkd7XUgNWtBoyTv/9l+cN6yi0hPuphrWv3RHF5G1oq/+RerYmQcVMTqQ9upigl43rrpyrMn9yJoxD0tyFlqdEUfpTqLSB6G4mtCufob4758ARSY2Poe4eTez+s1/oIuwUr1hKanjTz9cp6lyBOJvbyH/3UeITEgjfvA43E3VbHj1TswxyWHj091YxZY37mPCn17/n56BETF9GDznVrKmz0XUaDHaQ1UAtEbzT46Caa/YTU6KBcPKv0HQB9YkJt/8HHUlRcjBAIIoUvzte4iihqDXxc5FT5N3/nwUKYgsS/jbHGhNFrTGCHLn3EzjgxvC+ffm+FRiB4466L61OgP2tGO+suFhZ59R7GnxYThQaCvoxaDQaRT3MbBpXcvBJzNaUNrqD75dReVXRixfi+W9C7C4GkEfgXny3ViS57HljfvDz1hLcn/cDZXUbV9F1vS5WFOzcVYVEfR5MFpjsKVlY7TGoMgybbWlBD3tmONSVC0QlWOG3sgpvvQXTnETsAvYl7zzd+BJRVHeFwThReAK4IVfuI9fFW9LAxtf/gtVG5YCoTpxQ+b+ifov3mHU7MsJnDCL+spS8r94m2Hz7sLX1ogUCBA/aAz2I7gUR8DjQtRo0OiNv/WhqPwMAm5nj6H5TUVbqd+xhpRRJ2Hbz+vVE+6majR6I1IwwPYP/wGEFnPGXvc4rh3fYpTb0eMHQYS4ASgGK7ItlRjnDobO/RN123+kYecacs66Hld9hVoG7Bihra4ce9ogdi9+kaDXRURcCgNmXkHQ096lX8PudfjamrsYxYqiQNCHoDv4c0cQRSJiEpGCfvzuNvSHUNOX/F6kgL+L6nSE0oZ++UPhz74Bp7Ht45doKAxpRWr0Ribd8Qr+8i0cP+caCtcsQwG8bQ6KX7uH6g1Lic4aRs7ZNxCbM5oTHvqE1vICNAYjURmDD5q7rLibUdrqEExRCNY+h7qEKr+QdimIUdTgbPF1F9oK+jGi4JJDRnFsgp6qcu/BJzNEQt2uw3i0Kio/Hbm1iuDbF4GrETR6xNxZmBUnCX2yGXPTM7TXlRMZl0xsXAyephocezcjBX1kz/oD6/eLVkwaOYPhl91H9fqv2fbOw0gBH9bUgYy54WnsaYd+N1BRORrojZJMtx5qu6IoTxxsmyAIKcCpwEPArUIowWsacGFHlzeAe/mdGcWO0h1UbViK1hBB0O9BlgJ460oYPSQN5ZVT0AW8pOSdSfKND1C4s4DqdUvImjGP6Kwh/33y3wBfm4PqjV9T+MWrGKwx5Jx5HXE5oxC1uv8+WOWIwRSVgD1jMC0lnfm8giAiB3zsWPgERV+9wbT7/92jaMc+tCYLOOqoWhvKg9cYTIycfSWx+S8hFi2DNXaUCdeh7P0Bck+n1BVB8Y9fkzYsE2vfPtRu/R5LUha1W7+ncs2XDL/8fjTqfXRU4/e0E2hvYfvCJ6DDE+duqKToqzfInXNLl75RmXnozfbwZ7lmO/LaV1FK1yAOPw8h7yzE6J4NzKairRR8toDW8t1kTJlD3/GnExHbqeSvKAqNu9ezc9EzuBsqyZoxj9Rxp2GKSkDn6+oVbDGl01C4OPx56KnzsKx+HLFwCWh0xI+6HHfGQPL//RSNHfnCVRu+omH3WqY//BlRGYP/q5icXLER6cOrUWryIaov2nNfROg37bCJLB7rtEtBDAh4nf5unmIl6MOIQlvH/RkTp6e+1kcwqKDVdv97CAYrilqSSeVIwVkLbbWgNaKZ+SDyutdQNn+AMaovupMfQTEZiC39HM0nbxOpyIzOnU0wYyArXrwTOegPvav63FRv+JrUcbPY/K97OqeuKGDLWw8w/o8vqYKsKkc9vRE+/UsK3P4TuH2/OWKAFkVR9sV3VgI91yc6gpGDAcbc8gIarR5/WzMao5l4oQnloyvDfZRtixBtSWQOv4CguxWNTo+7uZaI6CPPW1C1fikbFtwe/tyw40em3vcRsQNH/IZHpfK/oo+0c/zVj7Lu+dtoLd+FPtLOwFlXUbJ8IQA+ZxMtpTsOahT72hy0lO5A1GpJyJtA2uRzMEf3wbrpeYSiZaFOnhbkrx9Cc/pjSIvnE3vCQ2ytKWZ79V4ypnhIHnUycTmjyX/3EWQpSPYZ16olIY5ifG0OylYtRmcwhQ3ifbTXloZFBwEMlmgyppyL5PeC2YrcXErwlVnQWg2AVLkJoWY7wtnPdvMat1bu4fsHLiDoDeWBbnv3EdxNNQy7+O7w4p2jdAffPzg37BXZ8ub9BH0ucs66AW1cJuEMYo0Or8cTntscl0IidSGDGEAKoFu3gMi042kq2BjuJ2i0ZE47n0BTGZ6KNWj8bchR6bT6tRjs8ViT+4WPRXHWEnxrLjSXhAY7ygm+djbaW9YhxA/4+Rdc5aC4pCA6t4LOqEHUHqAxGvRiAhwdnmKdTsRi1dLU4CMhsYcIBaNFLcmkckTgaqhCdnkwREQj5p2FtPJZaC4NbXSUo/noChIv+gBRSEeZOh9BH4Gw+X001WsYNPtGRK0OrdFMW00JTQUb8Dq6pwXU56/E52xSjWKVo57eCJ++7+eMEwThNKBeUZSNgiBM+RnjrwKuAujb98h5qZYCfuSgH1ddeUj2XlEwRSVw8skTUQ7oK+/6Cjl9GoWfvwxA8vEnMvKaxzBE2rtP/Bvhdzsp+PylLm2KIlO/40fVKD4ER+r9GZWRy5S/vkdbTQlV65ZQ+OVrXUKqFVk+6FhXfUU4vzJ17CwkrxtH/rfYdizu1ldRZDBYMLRVYIiMIipnMJoYHbnTL+OHx65HCvjQR9rVaIPfiF/r/nRW7iHQ1gxK99xeoy2kp5A751YUKYjk97J94ZMkHjcNAKV2V9ggBkCjx48eZ+F6dPZEIvukI2pCX2HOisKwQbyPvd+8Q/9Tr8DSEbrcWrazi6ihLsKK1mBm87/uQ6cRGDj1Dlj+KEgBLLbOtd74/nnoSpd3O36hYgMRsclhUa0Bp15BXMZAjCv+jmbP1wCIgoBx+oMsf+59jrv8PlLHnBo6t5aKToN4HwEPSlMxHONG8eG6N9ukANo2uXvoNEDQh0lQKN/vWzo6Rkdd9UGMYoMVVE/xMcmR9N3urCpixd8uJehzM/m8PxMZdHQaxPsIeBDqdyJ91fGqLghoTroXee9yyuo2Upe/Klwu0RiVgCUpq9t+bH2z0UccpDyZispRRG+UZHr6UD+HGDoeOF0QhFJCwlrTgKcAuyAI+4z1FKCqp8GKorykKMpIRVFGxsXF/dLT6DXa68qQg0F2LnwSa0p/cs66nswZcxGiu3vfhLh+6G3xaDvy56rWL8VZuefXPuRDIohadD3k52lN6orhoThS708IKVXG9B+OzmztYhDrTBZshxD88bU1s3vxCxjtcejMllCJGkHX40u8IAURh80hGJlI3u3XYbq2gfYz/01NyvtkX3EFAEPm/oWImMTeP0GV/8qvdX+6G6tAEKhc+wWZ0y8Mt4s6A8Mvv5/C/7zOjoVPsHPR0xR8/hJpE8/E1BEtI2j2W7MVRNpn/J3vV+fz7f3zWHr7KexZ8i8CHYawqOtu6Gj1prDRDHTTQhhw6h/YsfBJipa8zq4vXmPl6s34LlyI5srPiR5+CsMvfwCdyUJrXSVyn7xu8wcik0jaT7XVaE/ALLWEDWIgtCi6+knGXn4nRV+9hau+PNRusoM+otucgjn2EFfz2OBw3ZtOKYjWKXVXniYUPh2BgFPuNIrtMaEQ6h4xWsHTGsp3VzmmOJK+26vWL8XVUIHP2cSe3UUIycN7fq4EOiNfUBSkH55GHnwW7fWhBb26/JXIUoDYgcchCAIDZ10T7q41msk7bz6elsNbKlRF5UigN8KnN+73+33APQfruD+KovwZ+DNAh6f4j4qizBUEYSFwDiFD+RLg0144xl8Vn7OJhKGTMdnjKFi8AFkK0O/OZxASsqFud6iT0YbYfxqOij3knHU9+e8+AoDk8xxi5l8fnTGC3HNuZsUjl4bDH3URVuJzx/62B6byk/G1OWgq3Ehj4UasSf2IyxmFOT6VzGnnY4pKoHjZ+9hSB5J5wgXYUvofch6DJZqAqw1EkdTxp9NUVUrW1NtRPrgipNoLCOnjUBr3oPTJIxDVh7L0m5BwES2Nx9YSgy5dy9QHP8SeqpZkOtoJ+twoskTjrnUoksTgc29DCvoRRQ2RiZmMu/k5dnz4BO11ZWRMPY/0KXM6Ddk+uaGf2h1IA09hy/KvaK8LGZVy0M/WNx8gOnMIcTmjsKcNIjIpi/bqveF95553G+b9cooT0voxdt4t1JUUUrpmKYoiEfB01uluLNrGdy/cx5T7FmLtk0F0m5sRl92DJUImEC9gKF0B7aG623LacAJ9czF6Shl764u0Ve0lIqYPSsvO7hfB1Yi7eg+m6AS8bQ7M8X0RYrLQnPEk0sKrw93EafMRElQV6sNFuxRE1yahj+zZUxwhiLTvZ+Ta7CFPcU8IGh1odeBrCxnIKiq/AY7i/PDvst+D9OMCxMk3I3/9cLhdmHgDcsHXXQe6mwgYonB1PE8HzrqayrX/oWbTt4gaHQNOu5Ip935E0+51BH1u1r1wG3IwwOS73iGm//Bf5dxUVH4LeiN8+o19vwuCcPP+n38mdwDvC4LwILAZePUXzverYrTHY7BGE9N/eCh8uoP6kj0k9puKMHROKLRUlpAKv8XTf244LMVoi+sxdOW3Jj53LFPv+YDarT+gj7STkDehS21OlSMXWZYo+upNdizs1LuLGTCC8bctwGiPI2PKHNImzkbUaP7rXKboPmTNmEfD7nUkjzoZUaunau2XNA0eSty0O1DkAIJGh9JQhOJyIKeNR2esJjV4GYmO0WiX/Qth20Ogi0A46S9oElOQW9ah+KoQDH0RIochaNUXzKOJ5MFpuJrMFH1lp6lwI02FoTXU+MHjGXDqlegiIplwx2tIfg8Ga9f6vKItCe0lH6AULMWrsdP49V+6ze+qrwgt8sQlM/H2V6nfsZr2mlLiB48lZsBIABRZQtm9FOGja0lw1pCQNIyB85+kvrm923wIAs7yAnA7sERGINuiUPq0sj76Bvpf9wci6/UoWpGm+EqirZFk51wXFsZylOwgKLWCqAW5s+yZnD6R6sJ8Kjf/QMLg8cRkDUUQRcTjzkdIGozSXIpgTUToMxjBoEbgHC7apCCxziAGc/fXHiXgxayPDAttAVjtWhrqDuIpBjDawdWkGsUqvxnJo06mskP0smrbarLnXEjEjk/QnHwfSsCDoDMRGDgacdUBWrWZk6naW0T2jHNpqgyVXqrZ9C0AshRg96fPY0nKYPuH/+hSr33XJ88x5ubn0OoMv9o5qqj8mvSGp3h/flYskaIoy4HlHb8XAwcv6niEY4i0YU0dSNOezV3aa0qLSJwwGemre6G5BGHADDTHXUAifoLxSdSOmsmg2ddhjjvydMU0OgNxOaN/ci1blSMHV205uz5+tktbU+FGWsoL6NNRz/WnGMStFQU4irdhSR5A4+71aDQaGnb+CMDmL99n7KlnEbH+aXBWIeSdhTDhOvjkeiJaq0gfejZCQj1SazMkDYOqzSif3YkSFYPcup+nLO1+xJTbEEQ1z/hoQHauQbP3VKyClonXP8jOr1bgKNlD0vEnMnDmFegiQmkjWmMEWmP3kD8AMa4/xPXH2N6Cre9btJZ3LYNj2k+Y0JKY0aNInFK3i+C/zuk0VKu3YPjmHmJPfx6dydLFW3zcvPkkGD2IlT8grX0dW8CDMPF6EoZOpcD2NDpbNGYG46GYOOHSsEHsd7XSXLwNc0wynplPYlz9D4TmUqSsE2hMPYnKt58EoGrj12RMPRcAQWdESB0JqSN/5hVW+V9ol4LEtgUx9Ogp9mIy2WiXFRRFQRAEbHYtZXvdB5/QaEVxNSHEHFytX0XlcJIweBzZZ15H4ecvI/m9NGv6YJ50M/Kq51CMUbT3m4WTYqIv/xuGRc8hNJci9J+GOG0+6UseQGguRh58JrW6OPYeMHdT0VZMUQm4mzp1HVrLdyP5PKpRrHLU0ttG8VFPXWUrxfkNBIMSmbnxJGd2F5BBUYjs0/lFKYga+g3sh/zv/0Mceg4MPw+lfD1+rxtJZ0GX/xHDLrwNY9yRI8ikcnQgS/4u4kL7EESB2vyVeB31RCakYU/PRWvozLkMeNppKduJq74Soz0OX1szRUvewN1Yxegbn2HnpwuIyszDUZxPW00J373zMlkTzibllIkYIiLQvXIqghQIHcOKZ2Hs1WwTjyMQdJB12v/haNRSvTEOa+xbZMQtxhJYiFx2H0LMaQhmNaz690Rbi5ei/Doc9S5SsqLJzI1DIwaRy/8GcigdxNp+E6NOnIwUdz/GpBldcn33p7WikNaKAkStnqj0HMzxoWeiPtLOiD88yIpHLiPgdgKQNWMe5g7lcldDJa2VhUg+L+7mWmwp/YnKHIIh0hYSr9rPcwtA3Q6cu1eSM/t62mpL8TTXEp87nujYOISWvUif3RHuqiyeT6bxUcS+Wfg3iDSuyyd60GyYEBlSvQCa9mxm40t/QqM3kTfvz8TOWoDsdrDr6w+oWd4ZpRHb/7heueYq/zsuKYjiDKKL6OHeC3jRanQYBIF2FCwI2KJ0NNZ3fXZ621rYs+orHDVl6Fv8pG78hpTUEWoZLZXfBKM9jsHn3krGlDmAQkRcKhqtDkfUIBp3rkdyKVh9yThiqrGe+RLB1kaMEWYMr56JEPSBzkSDP4Wy9kFYp79AhD+fupULUGQJW+pAyr7/qMv+0iadfUQJwaqo9Da9Uae4jZCHWABMgiA4920CFEVRjprYovLCJm4/6wPKdjcBEBVv5qklc+k/NKFLv9by3RhtMdgz8mgpyceenktE5Urwu5DXd0aXaxSF1nF/pqTMS/0359FnyCSyz7gGW+rAX/W8VI5ezHGpJB9/ElXrvwq3pYw5lbIfPqb0+4XhtpFXPULGtPMRBAFZClL87XtseyeU5641mOh/6uW4G6vImX0DFWu+IGvauQS8LkxRCXgcdQS9Lqp2bgRzDOlRoOswiMOsfwPrsD+yY91XtNrn8OD1m5CCobXpmReeyP/9nwZr8H2Q2lD5/dDW4mXB3d/x7+c3ACCKAg9+cDZTTk9E8XQVDRRd36OJHoOoOaXHuZr2bOb7By4k6At558zxfZn053+FU0qisoYy4qpHcJbvRtTqqNuxmt2fvEDquFNZ88/r8bU1ozGYyD79Wra8+SB5F8wnPncsmp7Eq0x23O3tbFv8DOaEvgy/7D6aCjay5oPnGdPf2u2LUfPjh1BxNgUfPhU61oIN1KxZwaQ/v4HBGoNj7zYAJL+HLa/9FYCh8+6itbYyPIcluR9JI0/83y6wSq/RLgWRWgOYzD1Eokg+BI0eiwAtsoJFAzabjqaGTqO4raGG5a88TGz6AOIysvEV1JD/1UIqSssZc+PTB13oUVE5nIgabbcIGVdTHcXff0RrRQHj579M3de72Lr5eSzJWYyZdkJY/6Nk+DPcclMDjvp1APTtb+e62+7AV/IllsQMxtz0LBteuZNAm4O0SbM7jG8VlaOX3sgp/iV1in9X/PiforBBDOCod/HpK5u47emTu6wUG6zRVG9exvDL7iPobiFSq6ApXNwttlyxJlGw+CXq8lcAULZiEc3F25h6zwcYbT2rkCqyhFK1BaVqC+gjEFJHIMYN6Ngmh7ZVbwFtKDRPPMbLexzraI0RDJ13J5bkflSsXkx0v2GkTzqH1f+4isjEDDxNNUh+L1veuJ/43HFE9kmjva6c5KQ4Mq+5CRSJoD2Lgu07sKZm429vISYzj/UvzEfQaBlx5cMEPO3IQT9Gexw7Fv6TrDN7+OI0x+BtbyN6xPn84/4CpGBn6acv3y3n5HNmMixxFYIh7Ve8Oiq/lL3b68MGMYAsK/z9mi8YdPyVxPa5DLn0zi79RdvkHueRgn4KPn85bBCLWj2CRkP9rnVho7i9poSNr/yFQHtLeJwtuT9rn70Zv9vJgJlXoIuwoCgSuWffSPX6pRgs0cSk5iKOvw551XOhQYJAcPq91K5YBUDQ3U5r2W52ffwsBmsMUu6U7l+MlkSqN/8AQHTmYAaOnoKWAL7Kbaz77E0yp50XjpywpeXQd9wspKCPIRfejtEWjxz0YU0Z8JPU1uXmcpSSVSjO6lBobkIumgR1ofSX4pKCSC0BjLE9hOoHvKDRY0HAIcukajRY7FocTR3RLpLEmvefpe+QMSTmhLz9snMnfYYOYueuIvLfe5Sh87rnvKuo/Bb421torSggYegkir95l7ptK8mefg4x0bbw4o0Sn82nSzQ46jtL2ZXvaaGydRLjpltxVxVgS8nilKtvR3A3IaaOIKA34mqoxBSVoJZTVDkq6Q1PsRG4BugHbANeUxQleOhRv08Kt9R2a9uxtoqAT0JvDF1Kn1IHuQ0kWcbRXryduJbN6Ne9iHjqw0h6M/g7HkA6E/6Bs6j79KYu87VVFdG0ZzORCWlE9klHc0CpEaVkJcEFMzvDAW3JaK/+D2L8QJSSVQRfOgX2eemsiWivXoKYoIpiHctE9kkj7/z5DJx1FVpjBE11a8n722V4rIUY26bjXu9mz/vv0LC1FVdFOzHRNcgfX43iCRkfGp2JwRd/gC11AAWLXyBl9CnIUoCBMy9n50f/pL2uDABBEJl59ysYajYgx/aDxqLwMXhG/R9733+DmPE30lDd/f+oqSUFzbSPEAxJv85FUekVWupd3dpamzy0t3iJ738+SqARpfo50Fgg/Rmaasw0rXwJozWamAEjwh4O2e/DWVEIQPppZxI1ORm3bTeCUofTtQONy0bz3q30P+kSrCn9EbV6ylZ8gi7ShtdRT87sGyhf+QmujhIjOrOV8Tc8QbAhkg0faIhKu52Ui85C9FfQ5pPZ9s0n6C2x5F1wB86qIkqWfwiEKgc4TX2JM9rA2xo6IY2O4HEX07T0RhIHj2Z4dhL6VXeH1PjNsQyZ+FeWL/gTQy++G1ddOX3HzSL/vUfD1yM6axjjbnuxR4PY1VBJzaZlVK5fSsLg8WQcPxnNx9ehlK4O99GcdA/ysDmh/OpeQAn6IehDMB4z69kAuGSJQKsffZqt+8agL2QUKyJNHet1RqOIJCt43BINe9aCINAnu1N5V9CZINBO9hnXsmHBHaRPPgdbqroIrfLbE/SERARjsoaxc9HTTLjkj8Rsfg5hZwniuGuQ++QSjExjZ37353fBxiqiq1/DWbUHndnKlOv/jvnjuUiiFs/Mp/j25UfJmDqH7NOvDqe3qKgcLfRGvM8bQABYAcwEcoGbDjnid8q4mf358s1tXdpOnpsXNoglxUep9BTOwBbsRedhkx3o14ZU/6Rlj6GZNh8l6MePHkfQSFt1XY/7kQN+trxxHxknXEDisCnoOuoYK34X0tIHu+bHtVahFK9EsfdF+ubhToMYwFmDsvd7UI3iYx5BEDBE2gkq7dTFvU4di0IbTGCbMZH+vksp/Tia0k89nPqGHbun0xtHwIOy/k0MQ68iZuBIBFEDgoDWYAobxAAR8SmIOz5B3vAq4qSbQGcEbzv0HcWmRe8QcDsJ1m1kyNgRbPuxdr9jA7stgGAe+mtdDpVeIjkrGo1GQJI642AGDOtDXLIVwWhCk/EQStL/IQh6qrfls+rx88P9zHGpTLrrbSx90tFFWMiYdh6Vm77EeLqLMlOopEgDi5AcfsqeWkXz3i3hsYPOuZmkkdMRNVrM8X2R/b6wQQwQcDkpXb6QwTlDsQ8aRXtTI7t+SCUyNYbN73WGb7dW7GbMjc/iqq+gvaYEgLUfvczIM28n3qpBi4zbkoGjXSZl1ClkDeyP/rs/d14AVyOWzQsYd92jOJvqGXvzc6x9/tYu1yjodeGsLu5iFLdWFuIo2Y63pQHJ68ZRtIX6/BWkROsQ9zOIAaQVz6BJGga9YBTLpWuQvnsMmooRx1yJOORMBOuxsRDlloL4nX4MPYVPB32g0REpQZMsAboOsS0dzU1+Clf8h5TBo7rmDuvN4HagN9tIGT2TnYueZuxNz3afW0XlVyYqcwgQKl0Xn308UTXfIzhCzzf5xwWIE27AkJjHSS19KNjUdZF62KgI2teXAqHnaMXW1eQMPBGlYCkR+e+QMGgke79+G1FnYOhFdyKK/12oU0Xl94LYC3MMUhRlnqIoCwjVF57YC3MekRw3OY1L75yITq9BFAXOuHI4U87qNDg9SgkV8osktlxC0OvG0CEyg9GGOPpylKAPQWdASh1D8Y5tGCKjSBk7q8s++o4/g/pd61AUhZaS7bRWFHRuDPpQWqq6H1hbHUh+lJbKbpsUZ3evnMqxi1sp6jSIO2jVryDxpAn4CRJ0Q9V6G0R0LY+D5CfQ5iAqbRAAkYkZSIHOciUReoO5twAAIABJREFUcclMuOhWtBWrQZZQKjYiaAwQEYXidzP4wjtJm3w2UanJ3PDwGAYdH8rDt8WYuOPJEfj3fIB8YB6yyhFPRm4cD380h6j4UCmh7BGJ3PXaLKzRJgAEQYtoTMPvN7H1nYe7jHU1VHSps5k69jQGXjSPetO/u/STqjRdDGKAwi9eQQ54kaUgI695FHdzTbdja6mpQKxahkn3PYXfXsPetbMR9PXEDOxUe26vKUEJBhhzwfVMufAqxs+7EXtSBpu/eJcydySfvv4SSx6/heoN3zBw1lVYLd1Db4W6HfhqCtn29sPU7/gRX2uH5kR6Didc8UcmD0kgqvBD5LLQc91Rsp1ld5/NumdvYdvbD1P45WvknHVdaK5gD2rHHgcEf3n9erlqG8EXT0LZ8TlK7U6kT25BWvM6ivKzikb8rpAVBY8s4W/1oz/QKFYAyQ8aHVZBoEHev1axlsq9Nbhbm4lOOaBcoiESxeMAIGnEdGo2f4e3peEwn4mKyn8nKnMIo294irodaxgwfQ6ayvWdGxUFedsi0BqZMCWSMy7PQxQFdHoNc28egsX7fZfvYldTLUSFPMKCqx6TNSQuW7p8IV6Her+rHF30hqc4/N+jKErwaFZhjIo3c8VfJzHzoiHIskxiuh2Cbup3rMbdWI15aBxEyATrg4haPcbkgSBq0Jz0V6Sv7g+H4+nzzmbYWTfgb67CPHICSXljaKkqwZKcRd22FRQvfZPsM67FWVNM0Nv5MiRERKMZdzXSZ7d3OS4hcwKCyRba9ultXbaJ/aYc9uui8vtBpmfDs6xhA6V5b5GhuZeg3wraA8L2R1+Fa/dudnz0TzKnXcDgObciiBq0pkjiB41h8LjJmL75C0LWJLAmIZhjkZbcExqsj8B6/puMuOJhAjW7aSgvZN6Z+QiXD0UMOnBsvouo6XMJ+r1o1FIPvyu0WpFJpw8k+7hE2lu8xCZbsEaZuvWTAz78zuZu7fvC/PwuJ201Jej6RnNgZT/lAPF0QaMl54TZJERIIHgwRVnxjTyRitWfdemXNnQ0YuHLaGNGhI+h4Mu7yDjhQpoKQnnQBmsMVtdelPcvxd7xIhgz7S9Ua9PZ/NbDSH4vAJVrvmDw+fMJNtno5hdJGkpTdchLXZe/MiRst2Epo04+E9MXnUFTwXWvob1uGWUrloQVtAECbifOqiLMCX1p9UKc1hAWwgEQsk8GW2q3a/e/otTkQ9DbpU3+/knEUZci2I+8UoC9iUeWMIgavE4/hsgDjGI5AIKAIIrYRYUSqbMuq8Wqo2hzARnpAxDErj4EwRCJ4gl9p2uNEcQOHEnpio/JnnXVYT8fFZWDEfR7aSnbiSBoGHbxnRgjIqHfVNj8XqiDKQrNxOuRPvwDCUEfNwwaw3n/uROsiSjtu9iwYBGmmESis4biaqgkdfTJKBseB8A38HSqvvwKQRBJH38aenzhEmYqKkcDveEpHioIgrPjpw0Ysu/3/ZSojxq0WpHU/tGkDYxFFCUKv3yV5fdfwLrnb2PXqy8TI5+Ip7WWgLsVobUS8Yx/IG96tzM/DRDy/43YVIRl43PYP7mEpK+upL+lDTHoo3LNl1hTB9BWW4ouuS8eU9eHjTh8DuLJ94E5FmKz0FzyAULf40PzDj4dccZdoW0xWWjmLIB4NXRapZMIIQub0LUMuEkeQNXeanaWfYpxQiFxo92IU+eDPRUsfRBPvo+2oICvzYEiBdn79VuUL3sHq7+WoRfcDoKIsex7aCoGWxLigOmhe34ffjd8fjtK0TI0L08nUnBjT4imacVj1K9cQJ9hk/G11NNWsQeV3yfxKVYyB8f3aBADGKPi6XfypV3aBFGDPW0QQb+Xwi9eYe0zN1GyswBrcHyXfvokI1pDp4d29Pn/R2bFQvSLrkT/7yuQ3rkIuzWCvPNuRWMwIWi09Jt0BkmaJpAl2rydRo6roQJzbCJ559+OwR7P6Hm3oSy6vkvaibjsYYy+hrBBDGCwx+Jva2bz0kX4x94A+0IGLQko0+8mPr0fAM17txLZJ42Jt7+McWfXciZIfuSdX+DrYXHA46jDYI1hz6a1aC5bhJAyAoxWxOHnIU68ETEp7+AX/6ei7aE+ryES4RhQTW6XgphEDd6ePMVBL2hCi3E2ARrkThHASKuGqr1VRCVndp9U32kUA8TnjqNi1aeH5fhVVH4qlWu+YNndZ7Hm6ev57p455H/4JMLxl0JsKP1CPO4CpOVPhBfedFVrSF4yi76eZcS1bWPsTc+RPPJE2qr2Yk3KxCT6EYfMRjr5IYrrPAiCwLQr/0SufwPyc1OQ/vNX5ObS3+6EVVR6kd5Qnz5mEwraq4vZ9e+nw59r160gavAfsGRmsWXh42ROHIo+LgOlZnu3sRqfAzE+B7liIwR96FY9RfwF75Iyeiax2cdTsXEpHp0Nf8MuMvp3viQK1iS00/+EcvyloNUhmPcLc23Yg7zuX4hDzwZfO9Li29BodTBi7uG8DCq/I/RCNIOUJ6hWPqRJXIbBPQRXcV9+WP53AMTEWmJsCvKazxCnzUcQdUgrn0M3wo6tb6cCbvb4E2l2SWz8131YkvuhxIfyJeVv/oZ46sPd9is0FyNUrEPxtSE7KqjevIx+J1+CKGqp2fwdLWU7SRl72q9zEVR+dQRBIPOECxC1evZ+/RYR0YkMPv+P2DMH4ywvYOeip4nKzGPLtqX0U0YSm52NN3ItBs8gvHIU4+a/TOWqT+jbfyDR+gDC8RchbXw3JOZWtwOxeDn2mBxO/MtryJUbMG57G6Hci3PKfWx/pzPPM7rfMCrWfEljwXom3vQEdr2C1BECuz8mnWb/g2fYxX9FkWVqd6zjx/Y2Bo67Fy1BWp0eomsriHFswZrcD2dVEa6GKmq3LCdK6l4fHMlP6thTKVvRNYWhz5DJKMgkjzwRTWIGYtqoUOpLRAxiZEz3eX7O3yB5ONiSobUzBUcz80EES8IhRh0dtEtBIhDxuQLozQe89nQoTwNEiSKN+4VPm0wCjeVu7Ik9CArpzeDrXPe3pw9i1yfP4m6sJiL22MjTVjmycDVUsvn1e7u0Va5fSt6M2ZiyJsLwOQjx2bDq+e6DtQYMBj2Va7+gYs2XADir9lC3bSVTzjgT83GziYttImv8KejfOTccdSIvexTczQhn/hNBVaRW+Z1z9C8RH0YCbieKIndpK3jjDabev4jjLr8Xj7MU3a4PETInohR+06WfRzFRGUzFMvouYp356PM/RGyrwZaWTbtZQ1Wqno1rnue8s57scd+CrU+3Nnn7YmitRF69oLNt1QuIQ85G0Bl74YxVfu8ofg+GL14lyd1Ecfx01m36lMamd8Lbk2wRGJffi5A8DEEK0N7cgHvIVegSh1O35A2yZsyjZtN3mGMS2PDmP4FQXqZn5jlEbv8IFAUh2IMxkDoSpX43ABEtu9FHWChY3HmfGm1xWBJ78MaoHDVExCQyaPb1ZJ5wARq9ISwg6Hc7QVFwVhTSf9wlLP7479htyfRNy6O2dhOTRh9Hpt2JrV88miU3ICtKKC3lxLuRfnwFWisxOAoxlCxDqdmGOPw8lJMfoGxPIf4WH0qH58+a0p/UsbPY9s7DKLJEza4taPsNwGRPhZZOkS5EDYotmdw5t6LIEtH9hpKQN5GAuw1rygAcZbtYU7ar45yS0J95DULqRBKDxQS9btImzWb141eRdvG1mMvXds4riIiDTiMmNofhl97HzkVPg6IwYNZVJAybhH2/+vSC0YpgtPbq9Rfj+qG96kuUPd+iNJcjDpyOkD6mV/dxpOKSghh9AjqjBlHTGSAXDHpxt9Vi7niZtwgCbbJCQFHQCQJaoZ0A0d2qQACgjwiJEMoSgqhB1GiJyRpGzZblZE2/8Nc6NRWVMEGvu0tqxj4Chii0rXVo1r6GePwlEJMFTXs7OwgieBy4TUnUbHm/y1hfWzPNpizy33mSqKxhRAzMQ69IXfrI615HGHkRgj0F0Z5yWM5NReXXQDWKfwHm+L6YohLwOOqIzRtB6jmTUWKcBGxFmL3ZuPYoSBNuQutzgLMWpXY7aPTIU+bTEtRRv2Mdu/ZsYtDJcxkQOwBtTBq21gIatQobd36KwWAhOSH3Jx2L4msHQ2T3DdZEENU/87FIu7Ibp7wJBQmLMAyrmIfSuAd59QvoFIW8mQ9RYI6hsakYk8nO7Km30ue7x1Gqt4bqXUelEZz1IvX5a0lMhap1XxGZlMHYK/6C2FaDzhhJ5vQLMdnjqWuTMJ7/Ntot7yK3VCKe/hjyf/4aemmMyUJ72t+QFoRUf7X5Czn+hPvZk5hGzY71xAwcwaDZN2KOO7rzGo9FFGcNSmsNREQjxqQDYLR19XxGxvfFGBWP11GPvqKOiaMuZ9WGN9m+vZZReecg7NqDd7AV81f3hMogAcgS0rLHEMdfi/zd4wgJOcgFS0EKIG94G3Z8gZR9DXtXLWHYxXfjbW3EWbmH/HcfQZFDL3RSwMt3z9/NKTc9hfDJDSEPqtGKb8pdNLW6icrKw5KQTmRiBoIgoLHFMPqGf1K4+AVqt/9IdOYQ4nPHsvnNh1Bkicl3vcPAs2/B46hDDvrZumoFQ2f8HXPJEjBYCOSdh9OrxabTY0vLJnXMqQDs+fI19vznNabc/R7W5H7/0/WVAn7aqotwN9USEZOIJTkLTU9h0h2ICdnHZDWCdimIya1giOx6bdZtfJ+6+gKmRsZgBzQC2EWBRlkhUSMgSg68Ug8lnCBkSOgjQqlREdEA2DPzqN70rWoUq/wmRMQmEZczmoZdnYtxolaPNjIWZeodBBIGo69YjXjK/cif/ym0GGiIRDN1Pu0aKw1OP5nTL8RgiaL4m/dwNYQWC92OBqo3fkv1xm8pjk1i8vQbMa76R+eOjTaULR8ibf0I7cXvI2aM+7VPXUWlV1CtpV9AREwi4+e/ws6PnyX+onTKou4Jb4sxnIShfCIVezdx3GlzUWbcjRLw4fbLrFn4EonDp5EyZiYJQybQUroT3wn3YFz1HPFF3xHXbyo3z3kBR2s78dE/zXumVG0JeRYOqK+pmXjDMZEzptKVNnk7G4OnEiR0L4iYGKH9DEtADhsWsf+5m8tzZtI67Va06ROI+vAKcHaq+AqOMvwuJwWLX6TPsMmkjj+duvwVmHXgaWgh9+zr2bn4JWKibURrnEglpTDmGsoLd2MxDSJizjvgdeLDQKysIM64C3npfaDIRHx3P0Mu/oi8S+5HG2FFq1cFto425NI1BN+eF3rxMtnRzHkRMXdWt+dRRGwSE+a/yubX76Fm+SeMuPZx+o5MAEHAsf4Hqku20z8hBvMBUTn4XaEFv5EXgbMaAvspNHscmE16PE015L//GOmTzqZ85ScIGi3pU+YQEZOErW82tVt/oLK6AfusF3AXb8LrD7B70XuM+MPDJA2f1u2c3I3V9Mkbhy19EFXrv2Hr2w+Ft1WtW0L8pfcS9HpInzSb0h8WUZI+hICUjXNPEVGtX5MxoB/y3sWYTPHoJBe7vg0pbWsMJtrqSpClIAZrDCZ73H+/vlKQspWfsHHBHSiKjCCIjLzmUdImzVbLpBxAuxzE2C53Edny+dppai4lOSqNCncz9o52uyDQIEskakRkTwOewCFCofUWFE8LQodRHJ01hKKv3kCWgojq967Kr4zOFMlxf3iI/Pf+TvXGb7AkZnLc5Q9gSc5CEPrh02iRck5Cs/MzNKc/Ct42MNoIaI18//Rf8TpCZUIFUcPQi+5k65sPYk3pjz7STs7sGwh6XZSv/JQ2QyL7xx6K469F/vFlaK8n+N7l6G74/phIy1A5+lCf2r+Q6KwhDLnuNjZqZgAQ4zuFiMahWMRcHHIxeVkxKK/MBEAAjH3H0qffYPb853Wm3fwPlMYWDFn/z955B1hRnf/7mZnb6/beG8vSq3QQG5YIYsEaWzTGElvsJWoUY48l9t6IDQsICCqCINLbArss23u7u7fXmfn9cXFxXfxGf4kFc5+/4J0zZ86ZOwzzOe9537eMkNaOft/KaLt9K0lLLMZYcgo6k/UHjUPtqUde+SDS9KtRwz6QIwjmRNS4WHH1/0W6lU/7BDGAgp8m+QUGJ/4NIXMkavM2UBV0uxeT1LIDf1xptLTXdwjuz34e9rowJWVwzJXzkVvKURSFoMtB7uDhZOx6FsG1P07x68fJnfsMe3atZd+yl8ibcSr5M+YR7NqDJhJBvHg5+HsQEvOR0ocOyOga47eB6moj8sY5B7Yl+3uRXz8b4eoNeA05dLf2YrEbScxMAqLv0ak3vULHrq8Iurqpe+epfv35IyLx38nKjCWFSOEROFvqiF9ySf8BmBLwBaMe4aCzC29nEyPPvR1JZ2Dvxy9Q1/IOgqSh4Igz0MWlYh00GdWYhOjuYeLIY3HU7qLqk1eJyy0jPn8IGr0Rf08HHbvWkTBiMm1rl9C9d3O/SyqRMO6OBjY+eQ22zGLGXngXsgpbX7yd5OKRDE6OoP38VgD0QFHRUfjGHUHLro0MOfVqtr14J97ORkyJGYz7472kDJ8Onk7U5q2o7naExELIHEFPQxU1K98i4GgnqXQcSYPH07n7a1RVYfNzN5NYNBJb1n9e0/i3hFeW0XmUfkm2uhy12G1pJJgSqP/WYqBdFOlUVFRVRQ224/PnfW+/gtEKPgckRhevdWY7BnsSvbW7SCiK1V2P8fNjzypmwp8fJ9DbidZoQW9L6DumEWTkV+Yizrwe+dUz+uyCLYOhR17MpneeBkBVZJo3rWDCnx9D0GipWvoKBROPIc6YSGnehahJJYi/fxtadyBo9Ch7loCnI9qZozb6voqJ4hiHIDFR/ANQ1BC96gZa5TcAiQzpTOzCOERBS/X2etp665EnusjpvIGmlzbT0vExaUeZKBo+Es3zt/TrS2pYR8a0Y6lSZNT2PdhW34k5/3DaTFaMQ+egKf8g2q5qOfrRl+BxK9h/QJ4VwZ4JARfyJ3eCRg+ihJBUjGbChT/BHYnxaySgNNGlfkaXsgSLMIR88UZqlfv4psSNjzowx6E582XCqx6FyhXImWMIDp2HU9biPOVphN5GEhvWo23fgzT3MYxt0TrX/t5OigqyEV6ajUaRsZYeg78oE7tZOCCI9yOtfoD0Ex7DkpJF65bP2f7qXeQdPg9T3Cj0/gj6lJFY0nJ/5rsT4+dEdbVAT0N/oxLB31jJrbdvYv2KBvJKE7jqoRmMO3owoiiiM9uwZRbjFsS+sJRv8Kfk4ZvzD0xLbomKEFs64eMepjuQgHVQBor+UcQPr42KZr0V6cyXsYXMZHd04O/twJZZSHzhSCo+eAJ3SzSWTpUjVC9/jZQhk4j43JiSMxG1Olq3rsTvaKW7aitxuYPJnTqXtOFTUVUV0+jDePGjK5g95nI6dn7ZNz5BEEkfMZ2WDcvpqthIV8VG6iQtQ8+8AYDCsZPRrr293+2Q9q0gZ9rd6JPzaNnwMSOOnoNOCRAUDOxYcD9TjFo0G59F3fqtGL8TH2L9++/haakBoHXr5wyd9xd6qncQCfpQIiECrm5sxETxt/HIEbRepV+Srd7eZizmJKyiBq8SJixH0EoarPszUIf8HvSaIG73/9Gxzgq+/ona4nLLaC9fGxPFMX4xNHojltQDDpGQ14Wk0yM72xAHHYW86dV+7QVXC4n6CIIo9YWXBF3dBG1GArt3kFI2nsrP3saekknRiFFYF1+NcNKjCGXHE3l0Yv+L29KjFVBixDgEiYniH0CvuoFOZREGIQdBEGlV3iQsODCEB/PMbeuICGHOefVcnJ92EPL6yTjtYiKOLkIdzRjlgXVhRWQSC4dhVqKePKl2JdaCY+iZ8Gfsunh0W15CzhjLwzfvZM+WlZx782RmzCnF+j3lTgCEjBGI069GWfVI9MPQGI8097G+bV0xftvIqo9m+XUEUcIqDANEHMpahkkvUiXfQYB6ssQLEAUNbsXAxl2dJKT9ju591RjYyF6xiW27o3Vehw86mtlnvIztpblYM8dSeuSp+OrLkbYvB0VGGD4XlAgamx3RExk4GF8PIjJ7PngKS1ouno4Gtjx/MyPOuZXWikZSBvup+3IhpsQMkgePx5qe//PerBg/PaYEMMaBv7efubpeZP2KqFiuq3Bww8kf8exqEyVjos+ALbOQxnWLGH/hXwk7mjALfgwGPR0aLy9teJ2RY88lxZSA1jyBx2+qo27PCo44I5f8iV4yZ15PbkIecZmjUBQFsbUJW0Y+cTmlSHojqhyho/yrAUP1O9rY9OzNJKZlkjtmMh07v6RzzwYAnPV76N67hWk3v05ICfLRp3ej15up6N3BoPNvwL11HVqDhfzpp+LtaCDg7GDYGdfTunUl+twignYDklaPqB4IW/g2Go2ANbOQwngZ/Ze3RtuIErbD/4rgae8viAGW3UbJhGvZsrCmz9Tw1UekjZxB0/olaI1WTInp/9FP91vEI0eQPAo60wFPca+zhaSEPESfA5Okw+V1kGhLwSYKdCoqnu424pKteDwqiqIiigepxaozRxdpvoU9ZxAdu9cxeM6lP/W0YsT4P/F1t9Lw1UfUfv4W1oxCRh83D53eBr7eAW0FJYQgafpEccGRZ9Lb04TS1Uzdqmh5ueTScbQ6gjSnn0ZS7V4SRh+H9rh7kJfuf3fpTGjmPY9oj2Vfj3FoEhPFPwC/Wk+nsowgzWSK52KiGIUw3dIisoanseDeWk7fPJeO9TeSd/rlOHdupPmL94mMncmovKmIdQc8CpgSUeLyGHN8Dpq9HyH+7n7k9S+ikVSau+po9ydSVnI0O6VT+fTdnQDM/8NizFY9M08p+94xCqZ4pKNvQxx5ajTGKbEAMTEmNv5X8CrVBIR6nPJG0qRTUFWFXOmPBNQWcqTLEBBIFKMxkq6mKroqNtFVsQmN0YI8YSzb1izq62tH5XIKcscxWdSgqf6M4hwfypQr4b3nARAzhhPetZjP97zHsUPnROM6lQPi2DtqHkIwyMxZR6Bv20pw5NG0Bc00bFhK1vhjWffIgY9FS1oe025+rd+qdoxDHzEhD+m0Z5BfO6vv2VCOuJ2n57f1axcMRGjc29knigEMcSmo7k5SKl6Dxo0ApAsi846/l0c+vZ9JQ/7OQ8d/iRyJxhi/9fAuZl9SQnnuQ3R0VXLFmS9iamtnzcv39wlRvS2RqTe8SHz+MLoqN/Ybg6TVk1w8lILQbtyNO/sE8Td42upwNVfhJ8hJY04jtWE9Wk8z3amFNBTHk5c7he2v34O7eV/fOUNPu5YWvZulK+9k7nk34O7pITljJELLtr42qj2LiDmd9ORUNC9f1C+JmHH1vYhnvc53oqgh5EOn7f/ftoCAqqrorQmMuPxGjClJqJEgiNpYeMJ+vHIEySOjMx64d25PJ9lZo1BdrZg0Blz+nqgoFkSqZRlPdwcmmx29XsDrVbFaB4piwWBF9Xb3s9mzB7F38fMoihyL7Y7xH6MqCp72aH4Pc1IGhh+QbwBAUWSqlr1M5UfRLdHulmpCzg6mHDMLUWtEWXOgVB2ihDZ3HNa09YQDXjKmz0abnYXB1UPFmmjt7fwZp9FVuYme2gMlRoe6g5SeeCmaQUeieroQEnIRkn5cssAYMX5NxETxv0FVVZzqBgLUUyjdTov8Kn7qAIgXDmf2tZfhUeKp3BJg+MxT0estNK+KboFu3PQ5aaddSkp8LtqaLyBjOEy+nLjldyI0rEcF5N0fIZ1wH0pcIaHmWupWvEniNa9z/czV/cbx/jObmP67PCS96XvHKujNCNljfqI7EePXTEhowylvJFWcS638ICoRRPSUSo/QLa+iTPsYkhBNZqU12cieeRy+tnaUYJia9u0D+tux93Mmp5VBzZdIDevQfO4kMvQMpM3PoYb9+LJGs3PnYqrqN3HJ3CewbXwZ0d1GaPQZtFgzKFr3CELdWgD0NavIzpmI/qg/s/XVu/tdx9NWR2/97pgo/g0ilp2AcPUGVEcdgi2Vdn8ilTvf7jtuNGs5YV4ug0r7l4tLHjaJUOMm1ICTPhmiKiR+9TSTh52Iq8XaJ4i/YdkrNVz63Ml0dM0nHPRTvnJRP89s0NVNz/blDJ37J756Yh8hd3TLa87k2bSXf0VuQR5qzWbChScdfDJhH/GyC8uSW/rimpMrlzNx1p049BY8bXX9mreXr6U2R8Dt6eTVFdczpPgILNOuJmHvcrTVqyBnPKEhp7LhmbuZNPds7Ir8nev5UeSo54WQ74A9azSdLf3DFUrmXEAotYmEsxOoi7+B+G4DpjfuQ8gcjTjxD4iZIw8+p/8hPHIE0S33xRQrSoRgwINBb4VIEKPWgNMb9fjaBOhWVLyODgy2eKxWAWevgtV6kAUGvRXV2dTPpLPEobXYcTVUEpf3/QvZMWL8OyLhIA1ffsDWl25HDgUwp2Qz8aonSSgc/m/PDfR2UrfqvX62rqptdM++nJShZYimOJRNb4A1FWnEyfDJbUwbOgRFm4Mrw0atowqvswdRq0ORw5iSM6n94u1+/e3+4ElSR8wgsTj2jonx2yC2jPxvUAjiVrdjFsrwqOV9ghigR12JZHFzxC3tFP35bji2Bq3O0O9jbOPbT7J6cy2+3z1OZPgZKGufQvh27UpVRWncRKMSwoqRwqPPwesJEfT335aalqZBaOqf2CVGjG+IqE7SpFOoUx5GZb9njiCV8vVYxSFA9KPbrzTiKV6Lev5G4q8VKbviPIoLpg7ob1DBJATpQPkStW03XblnoIw+F0FnwdBRQV7GMLp7G7j3g7/wpimZRfnT2WRKQRN09QnibxAb1mFPSiHs9wy4lhz0D7DFOPQRJA1i+hCkIccjZo8lvSSfy+ZPAaBsdCIvvJTK5QX3kPLBscif3ovqbKG1bTdL1/yDpz+fz5LcSXQfdSsIUWks9DZSkj0G47eSJX1DXJKJQMiBzZpKUl4OIe9BanUGfMR9eAEzTzuXSVf/kxG/v52g20HT14sR1QgdY1xcAAAgAElEQVTuob+nYtlrZI4/tt95KWUTiGtdi8lV3T/RF5Cw9V9IDfUUzzqvn93ZVEVuXjTWTlUVyveu4MG3/8jWzDEIEy9GcDaiX3wlk0//I96ADNrvhMaYElj2qUJ43gJIGxq9ByVHE5lzN3GzhpF7zGzSxx/O6OtvQR3ZSmPu3TTHP0mEXuTOHaiNm1G+fo7IM8eidFb9qN/tt4hbDoMrgnZ/TLHP14teb0YQRVQ5hElnwu2PLpRYRJFeRcHr6MBojcNsEXE5B/jsoxis4HUMMNuzS+iq2vKTzSfG/wau+go2PXM9cigAgLejkY3P3kDQM3D78zcEnF00rltM+b/uJ3fqSQw+6XIEIfqpL+mNBGQtbmwEk0dQX/YnhJGnIS++CTorkMrfQ7v1NeJ3vEd6yiB6A13kzDoLoG9b9bdRwkGCru4B9hgxDlVinuJ/gyQYSBFm42EHbqW/R03EgCx24NbeAIhIDSezt30LcYXD6a3eAYA5OYuRR5+M2duIYohHyp+IsmdRv35UQcT12VJaNy4nafBhlI0+HpNFh88TAkBv0HD0aXk0791OgjkTc9oPK9MU438Ho1CAV6noE8TfoBLGIGQjCSYUNUy98hhNPAeAT7cPZ+I6CoueIHvnCBpbos93ekoJI7RGxGl/Ri09BnoaELLHIHgDfC1ewOTULrSKzCyDlcb2ClzudrZXrmDk0NkMSyklS9kfRy9qEKdchmCwoaoKegLkHXE+Ncue7hufqNVjz/nfq5v6v8oxZ40gtySeXFMdtoUHvLLysjtwpQ7m+SV30NVdC8AXXdXUZY7kwhGnYtj2NsLwkymuXYO14CRyBiXQUHlAjJxxYyFbqh/k/D/eR0X8peQeN489rzzfd1wQRJKKRiAl/wFj/edIRVpCphTMKdkkDhqDKb0AXaCboWPG4NMlYM8qxtVSjTU9H1tmEf5ID9ZQy8AJCQLOqm1YC0b1S1KTNvZoOnMmkJszmvqGqDhKTxmMya2yo66RosLj0UsrkWQ/usyhqKc8g/DBleDvAUsKnZP+wZtXN5ObqyWsO4y4cafQsnc7zvtvYdxtd+A7ZyMZwnRkvOxT/tY3HJNSiKH2QCZlfA7Utl2QfPDEWz5HG91VW/G01GDPHUxi8Sj01vgf/8P+yvHKMqorgj4nuqDi9TkwGPZXdogEMZqT8O7Pvm8TBHoVFb/Hid5iw2wO4uwdGA8OIOhtKL6BosCaUUTXng0UHXX2TzOhGIckSiRMd9VW6r5cCIpC7rS5JJaM/t7a4p6OhgE2Z91ugr2d6C1xA44pcoSqpS+z5/3H+2yWtDxKTrgYY2IaxvgUHDXrybAMx+HopPLTt8mZMQZB6f/dIAgi4YYGkvZ1kTn3TAYNGYPG3UzGuVfQ3tlL+dI3UFWFjDFHYraYUKpWIqSWEZChe+8W3C012HNKo+8TWyyvTYxDh5go/gGkiSdRF2nGLo7Dp1T32eOEibTL75HZ8yekumwCnSo2jYTxhDOIKy+ju2ITU08+B92Hl6IqMgKglhyJOPZslE2vRzsRBHzZ09B0Rj+cuvash2M7eHLpiZRvbCOiSGSmdNOy6ApqnV1kbPuKcX/4G/rkvH5jDAe89NbtxtfVjDEhjbjcMnRm2890h2L83Hg7m+ip2UnY78aWVYItbxA2oRsBHSoh7MIEksSjiKguQMTjrAVRpU3/Tr9+ZLwEqGSSZSJxZ/0FTchFct06zMtuR530R1RfD2prOaI1nXSpnZTeT1D3FOJKmwi93Vx07H10eh1Ikh6LaiBcWUloyDik/ClIhVNRtiwARx0AosFO7okLQNTRvul9LGl5DDnlKuw5pSiKjMfbjUFvRqcz//w3NMbPgtluYcyRZcifLeK7foeOjqo+QfwNdc3b6B58NFnDT0ZIzEf57O+kiu/wwB0PsDtwPD3dIUrHJmFL72Z06GX09gaCNKEcVs9g8WIaly5HZ4tjyO/Ox/rZrcjdVQilx2CITyNF1VPTUMmkE05B8975oMjYAUveVJy6EfTW78bTXo+nvQF3cxUzzr8WNAaIBPrGFxp9IVa3lojfxbDTryPkdRL2utAYLUxXBaZNuZw2QcLRXIva0kr16w+hqgquzvEUHXsl3o5GpI4G4rPS0B59O6ogELZk0V4vcMTsdHxNn2LPKSMQCZJUNgUkPcEqHyWW+9AaLLi9X5GmO5EezQYS5Ilk1w5F88Wt/e6h8D1xrUFPL1tfvJ3mjZ/02QbPuYyyU65C0h78I/1QxSNHUF2Rvu3TPn8Per0lelAOodeZCYYDyIqMXpQAFSx2REnCbI5unz4oRnt04UFVEYQDMcf2rGKa1i/5iWcV41Cju2orX9w5D3V/zfXaL95mxu3/IqVswkHbG+MHljUyJWWiO4ggBvB2NFG56Jl+Nk9bHbasIna8Pp+g28HR1z6C8OZZqIfdgK+ziWD2lRg2PA/f8gSHR5xF77adJOWNIM7fhvTWuRDyYgHMyaUYz7iCHoeT+MIRtFZuJ5JbhGndi1S2R2jZ8hmmtBx6uurobaig5IQ/oNHq/z/vWIwYPy8xUfwDMIp5FGvvwKtW4FWrcKnRbczx6jxUh4O9Dy/EGNdEYuFILIA2J5mdNicjTj0b7ef39nvZqHs/RZz3HILfBQIow0/j69eeJGviCX1twhEZu7qTJPdHOGp2kPC7P9Kri8bdtWxbjauhguRviWIlEqZmxRtsf/2ePtvguVcweM7laPT94/ViHPq42+po3rgcX1czDWs+IOx1Mf6yRwj7PQwp/hc+y0403Wn4zdVELE66N+1h84cPIOr0FJz6F5zDPsSlO5BsSIiINH/2DnazlcK8VOT1UQ+bsvYphNwJiGPPBBXkxTdGT9i3Epv+LXzjbuTrB66K9iFKlM7+E3vef4Lm4lFMOO8exOoVfYIYgIATy9430KZfyPCzy9AaLcSl59BZ/SVfbnuXrbuXkpE2mOOOuY283HE/1+2M8TMR8vSiyDIGeyKYByaL0RxkMUQQBLQ5Y6FiKcqO/fFxikzahmvI/MNiAtmj2bTpLT565ym0GgNHHXk55pIxdFrfRTszkawJMxE0EvYvP0Xojm4jVis+QR00C33Ldqaf8UeUD67s946W6r4k4/BjqFzZwPCzbqb8X/cjh4N0OsPEn7kAcdf74OkgWHA0nX6JnW/O7zs3uXQ89rwhmDQR9B9didCyBeuUO9m+4EDd5cTC4eQNH4PNqMGv0ZBsiCC9flpfUi2NIDL4nHewJiUj+iax/Y35RPaHHRTNOg9JFPjstpMZf+mD+B1+TJHZiNobaK/3E4oTyZn5ANY1d0DACfG5qIKI6u1C2F8mJRIKIGl0uJqq+gligIqPniZnymzs2YN+7M/7q8YtR1Dc4T5R7Pf3otftF8WREKKkxaAz4wm4sZviMCsK4fjoM2owivT0DNw6CkQXSQQJQh7QW/vMpuRMQp5eAq5uDLYfUFMxxv8EtV+80yeIAVBVala88b2i2J47mNLZl1Lx4ZMASDoD4y65/3uTbamKjCof8PoaE9IYNPVY4swaUkpGoIh6tJ4mCHmxhjsxJ2fx9cKXmDzvdcSd7yKqEUIlx9HWE0BvSyRnwiykFTdByNvXp9BZQcZkMxVfLqVq2csADDvjBqxpQylmD6azL2bp+lfoavuaEdZjiGvZQ0ZuLOY4xqFBTBT/QDSCBbswlpHCu/jVGtyyQI2/nax6mezxJ9C5ez27Fz5GwZlX8eqC8wkG3RTY0xF66wf0pYb9CKPmIfidKHKEnKknk1gymvHpBfi7W9HHpyP11qIqMkNOuZLKj18gb9pc9iyMbomJ+PsXTnS31rBjwX39bHvef4Ks8bOIzx/6/zXfkNdFJODFEJeMKMUek18LPXW72fj0dfTWlqO3J1E6+09Ur3id3QsfIz5/KNtf+4RhZ97IppevR9TqGXr6NTSs/hBvZyMA2//xAKNu+guusqgoNsj5BPcGmX7B9dh2vQaDLkcYdhLqzvcRcsahlMzCFz8cWrZhmHEDUsmRSM56kINkxOdjyyjA1VKDxmjuiw12VG2lu7eX9J6mAePXdJRTNtVA0959eNvrsYYaWbTtXXbs/QyAyn0d1DVu5torviA1JVZr9bdAJBSgffsqdiy4n4jfw6DfXUzW8Ilo4rKgd/8zImpIzR5N2aCj2F25ou/cw0adQaKjAbVpYHxmwN1D+a4lLPz4pj7b6wv+zO8vnI83fzNhuukwvcMQz51ovpqPkDq475kOex1oAk5EJYTaUzegb7PZyNB511K9/FXkcJC4vCHUr1uEMnkOxjGXIAd8OFtr2bGgf+K4zooNpI6YRorYhtCyBZKKkOxpfcfLjj6NAm0HmvV3wQaRvImXIOXMgJOfiFYmWPcs6r6VqDsWUrWpBjnoZ8gpV1O56BkCvR1Uf/IqWWOOYPDcy+ms3EJ8fhl6bRorXq3l5b9HF2tveGI6E05+B0O4C5MYgM4qFG83wfwjadrwCfWr3yW+YDg5k09kyGnX4G1voPGrRcjhIKoiI4f7x03/FvAqETSeCPr9McVeXw8m435vmxwCSYtBZ8IXcGE3xWGKhAlZ46leXETn10GUUc3f37kxHtXTifAtUSwIIrbMIhxV28gYc8RPObUYhxDfFqzfoBzE9g06k5XBcy8nc/wxhNw9mFNysGZ8f/icOSWL/MPnUfP5ApKKhjN24mEYvn4UtrgYlTuZ4JRroacWDDaksIdJ515HW1U5O9d+Qe7Ui9AYLbRtW4XWZMEYn4xO9kLXvgHXEXvrOfysSxD9DoSkYnqx4O/tpj21lGfe/gOR/bkXvtzyKrIkcHLmQ2g0A3NBxIjxayOmdn4kOiEenTAGuwgKK5AVDb31FXTsita/9IpBgsGoaN1W9zUjSo5CW7n8QAeCgBAJEqpbguBzI7bUYh92EWvuv4CUIZMoOOJ0Nj71F0adfwf6zFx2vHkfZXOvwBifBoKA3paINT2v35jCPvfAl62qEvo/kjF8H6qq0rn7a7a9+jc8bXXkTJ1D6QkXY0nL+7fnxvhpCXl62fjUX+it2wVA0NnFzgX3U3bylVQufpa0kdORQwF6qrdjScvD01bHjtfuZei86wgHPKSMH4+3uZWe9fUUFs5H15VNpCOMLtlE3Be3QttO5LcvQZzzMOJh5+Ntr6N8/dc0vfg0E658Ao0RxH/9Htm1P2YxPpfDz3uApY//lcIjz6Lui+jWbJ0lDsXnJ1IwFc2ml/vNIVBwFO071xP0BYiEAzj02X2C+BuCQQ9tHRUxUfwbwVG1lbUPXtz3922v3IX0h3vIv2Q5asMGCHkRMkaizRrFxIyjKEkdQ4erkbS4fAxdLhB0iKNOR9n8Rl8favoIfIZk1qy8a8D1anbuYUryfBRPCoE6P2FZIDTnafQNq3FkzGD3h6/hc3RQMP5wclp2ox18POruxQc6EATCxhTKn74BVVUw2JPJm3EqqhKhu2IjtV+8hd6WyLBT/owlNQdX03cSWQkiOkcV4szrwd2Oxb2P3Mkn0rLtC3ISdWjW/AvSBhMpPQypeSuq0Yay8kEwJyMd9zeUkDearFFV8TvaKH/rAQadcDG7Fz6GqioEfR7kgA9bWg4737wPV9NehoyYzssrz+aLJW3Yehaw+r6lCAjkTZ9LzpgZmIUglYuepnrZKwD01JbTtH4JhUeeRVflJiZf/gCann3oBRmT0osa8iHovr/SwaGGV45gdoX76hT7/U7i7ZnRg3K4TxR7A9EEbfpQAJeSibQnifTBFdRWGIHwQfsWjHbwdEJif7FiTS+ga++mmCiO0Uf+jNOoX/N+v2SshUed9X+eozWYSSz6YZ5WSaun7OQrsGUVk2SUMSy5ou+YWL8WgzWFwGGX0zXhdsqXvUX403WUHH4ypTPn4A1ECHmceDsaUeQIxoQUgll5WEqPQVn7VL/rCMnFyM3LoWY7QnM59nkv4A0b6ZQdfYL4G77e/AZHzryGxMS8HzSHGDF+SWKi+EdSV9HFumX7UCIKpWMLyEozo4hBhl15GaoM7pClr21l7VdUHn0LpUoETdXnYE2FE+bTkddDjXUzkmqj0HMJtl0h9LZEbENy8Bn2Murqm9j+xHysx84m86hTUOQIksHIkJOvIL1kJObsIf3GZErOwpiQht9xoAaozmzHnJr7o+fnbKhg9T3noMjRD4CaFW8Q8XkY+6cHYnEhvzB+R1ufIP4GVZFR5DCZ446hfXu0HnbI40RrOuC1sA7NInfGaHosS7EoheRwJKrDxMaHbsbX2YjWZGPC6ZeS6LwD1ZiAX7QiONpobu2lafPn5M88nc7d60lL8IC7HSF3AqgyauMmpNpVTL/yYRr3rqP4gtOxpQ4iWB/A39WEJ6+E+KNuQV31D5BDhIfPo747xO7l9zH2ovn0NlXh7nGi05kJfWt7FoBOG4sr/q3QvnPNAFvVspfJmTwb7egz+h/o6aH74xcx2RLocH6CKkdIvOBvZE28HHImoe5bCenDaOmJUPP2Y1hzBiZxsUk6dOUmVr94B+H9u2osqTmMPfNaVj96bd+7bceil5GPPYtBRdNBCaNWfAKWFDxT76az08uYi+bj62rBmJCGtTib1q++ZO/H0SR1Ya+LdU9cw5gL72bz87f0XVtrtqGEAjB0Duqu93GlT6KtpR2d0cyUq/+J8YtbCZx+K82DGunUr8aqDiMvOBZzzQTU6lWoNWsQR56G1y+gMXUw+KQrECQJS0oOSYPGoI9LQWO0oCoy6x+/ikgwWq6pZcMygr2dHHfyFax7MBrLqqJS+8W7GBLSad2ykoyx/cVZyNOLKSmD9MFjsO96A2lPtB6p/ClwypOIh13QL072UMYry+jcYXSWqCgOBJzo9GZQlGgdbVFCrzHiCUSfF13QR1d3AYWDujEl+Nm5W8HfZcKYdJBM+UY7eLsGmK2ZhbTv+PInnVeMQ4vEQWOYfusbVC9/HVWRKTrm9ySW/ndDhUxJmZQcfyGR9S8NqHMu7PkY7+Dfs/61B/ts5YteQLAk0rZzDagq6SNnULfqXfS2eLwhFbH0JAxhP2x6DXRmhFm30ljWTIN+FYmRiWTXnY7+wzvRjr8ere07WfQBo9GORhP7doxxaBAryfQjaK7p4dZ57yIKAmuX7OO20z9ASDNiuThA89j5tB52H/FDJQpyD+s755Xl97BvyEmIx91N8MR/Up/Vyi7rbfipxyPsZLv1OsIjMhjztyvpPfo16ktuZW/WpZRcdRKioqLm5WLLLEKVI6SNmEHCiCMGrOCbEtKYfO2zxOcPA8CWVcKUG17EkpL9o+foaqrq+2j8hsavFhHobv2eM2L8XGhMNnQHyQxrSsxAb4nD1Rz1WCWVjqW3bjcACaUj6c1eTJvlFYK00Ct+Sbl4Ab7UDQy+6RQs6bmE/W42vPsc/uMeoTrrVBqb2mns9NK0LVorO3XYVNwt+xBCHqTj74G8SQhjz0H6/VsoGgPkGAif8DVNI+9iT/r5BIdvAaOCo6kOJWcy3Uc8SOPYm1m7vYndy6N1DuvXfIizbjfVbz/BEeMu6jefgtzDyEjvv/AT49BFb08aYDMmpCMeJONq9qQT0eiN+B1tqHKEwqPOwd1Wx+Jb5lHTHqC76FScsokEo8rwCVOYMORkJOnAtjyjwU5ZyiD2bljdJ4gBPB2N9Ha2D3i3Va1ejL+rEaHsePynf8iC4EPc+FcZj5yB1paAbfg4DKMNOCyfUbeyf81PVJWQ10XRrPMwxKeQOmIaE654nIxBI9DqdLjTJ7F24evsXvE2VZ8uYONztyKPP529Q9bRpH+bIK10CcvZbrgcz1lXgcaA2l2DnDwYyWBielk8g3qWk5ekIyM1jmmzZjEuE+LpRpLEPkH8Dd17N4M8ULT11u4CojuHDPb+sYgBZxfFYyb2CeJvkD+6DvU7Sc8OZbzhMGFfJOopVsEfcKPTmvq2TiOIGPUmvEEXqgqSP4DDayOusAezWSIg+egqP3gcp6C3obo7BthtmcX01OxEVb4nSVeM/zkkrY7UoZOZdM1TTLr2GVKHTfnJnA2iNW2gMX8KXfu2DzDXrXqPwiPOxFG1FWNCGgZ7MhljjsbbU09H4gZ2nthE519uInLN+2wbt4R9+gcJ0Uar5n3Ki95EOfYKLPY40i0pZKQO7tf3nOPvxm5P/0nmGCPGf5uYp/hHsG9HO1NOKOGFu1ZjTzJx3dNH4rZ8TLeyFAAVmYb4G5hzypt0VzfjcNSRlZBHtt5MoLMad6qGzvh3SQgehdk7DK+5HIf+U3oMO2gT3idMtLRDhF7q0+5hmOlt9mzbytbX/8rwP12DP7WCev96rLph2MTRaIQD3rSEohFMu+0NQi4HOkvc/3dZDY3RMsCms8Qh6mIJu35pzEkZjLloPl8/cllfso6CI8/ElJLD3sXPYc0oZNAJF9O0YWm0NIwgMOj831Mp9RedCj4UNURd8t8ZNf853D17kes0+PSpmPKNVC15gYjfS0LRCHpqy4kEfHgd7QjFJ6J27YOW7SirHgaDDeGMF2nTL6BHiHpEVEI0mf5J2fgn6F5ciSAW4fZ4CYQEbNmDcbfWIYcCmFKysOcMZsdrd2PcsYezZz2AM9RBQlIBeYVTsdsGZt2McWiSOmwyeltiXz1LQdIw+KTLkHQDPwbj88qY+beF+Loa0Rk1OBoa2PLczdHzBIGkQDXiZ9G/mwHTpKs4b9ZDdMk96A1WspOKsTua2dXW2L9jVYWDZGHWmmxIaWUELfk8+XAbJ8wSmV2wBh0pbPZlkZWSR631OuL80zAkJA2oyamzxpE3YjyFk48DQaSrfA36gmEETdm4DQrZk0/EYE1Eb0/E3VaLL38wPdLN/foI46DXtAf9tLPQCUkokohlyZVRwQboqlchHXc38qpHEYefhLD9bZLKZiNK2n4iX9IbkQ7yno4vGEaSdhyqKpNQOIKWLZ9G719KNiGvk0ivyIDliZAXggNrih+q+DwhtAYJURIIh/0Ighgtg+N3wv567HqNCa/fTTjoR+e1EEjyozWGMWsk/JEAjspEsmcMLJGDKQ7VNXDRWGe2oTXbcLXsw55V8lNPMcYhxk+9C0PIGolQdjzq7o+jBo0BzdG3YNpXizEhjazxswBoWr8UY3wqzqZ9pA6fys63HmT0eXeiyCFsI9LwJzqIUychJOTRwVacyvp+1/Gxl0BRPtRIJC6+jvNHnUqD5gycng4yE/LxpI2ivbOZ1OTMn3S+MWL8N/jFRLEgCNnAq0AqoALPqqr6qCAICcBbQB5QB5ymqmrPLzXObxMOyUgakYAvzPmXjCF/XJh29ZMB7Ty2hQxdsxmcjRB0gz2T0B/fRJCd5DbeRsUbL1K952USSkdQcPa9aDJ8hKT+K80Kfrpb1iBtq2HkZTfRXvQcLt2G6EEZSnmULOncfufozXb0Zvt/NMe4vCEkloyJeh32M/K8v2JKOMiqY4yfFcVXTVq+yhF/XULQpaK1ejBbRLQiHH7d46AxUt9ipFnVM/JPJyJl16BmdKAlgQRxGiYKCNJGm7IQQdCgEsGrK6ch+SG0yYmY6u5CCsXTU7MTgLzpJ2NMTKfioycZcfr1qHXLwduGWhWNARYS8pHN0CkO/DcQFLZTaovga95LT0MVjeuWYE7JZtjp11H96QLicgbjbKxk3J8eYvOzNxLpdTDzjncO6gmPcWhjzyrh8DveprtqK5GAj8SikcQVfH8CQIvVgcn5FKprN4b04wnNPZPyhW9ikF2IK+7t11b/1T9IPuIB5E4PSqgL/YTBrHnzaTIPm4WrcW+/trbkNIwJqfgd7X22YXMuRtf8NZE98/nDJU9iXzgbFJm2vDt5b8mt3HLjS4Rx0G1cSuEZd7H173/vW5Ayp+YQ6OmgbnsPWlElQ20he9fboM6hXj+Ira/ejT27lOITLqBi4T/xdbcScHWRM/s6GpIe6Dc2VYgQnHYCQqsZpXEL2v2C+Bvkja8hzb4f5ct/Ik76I+q2tyg57jwqFj3X12bwnMsIOLsxJWfh64wmMLNllaA129n+6l3YsksYc8Hd6ONT0RqMaPQmala+ReZFf0M55iF0zlp0W1+J/p+VMRLis37Er/zrJtgbQm+Jit9AwI1ev39BORIEMbrTwKAz4g95CHic6Jxp+DMD4AGdVgABOqsOHtIhmBJQmwd634Bosq1922OiOMbPjmBLR3PaM6it5agBJ0JyCULqYJIEMzlTT6L20zcByJ95OvH5w2netIyMsUfTuuVzVMCxdyvJZcXUyg+j4Cdf/AuCoAUEEoWZ2ITRRHDSpryL6PNiVgSEMfNIaN5KXMsuxMIp4G5mSXcNjfFFnPR/jjZGjF8Hv6SnOAJcq6rqFkEQrMBmQRBWAOcBn6mq+ndBEG4EbgRu+AXHibPbR+3uTiSNSMGQFCafUExbSzuaxBBm159RlAoE+zJExzjQd2ONZIHrQwi6UeNzcJ1/BRVxF5Do/B3VD63Cv38rcvfuLfgeaGbynY+hxn9T8kEAVAQ0qB4NzRuXk3POtAOCeD9V8m3EB4ZgUrIRrP89r5opIZWJVz6Bo3oHQXc3tqwS4guG/df6j/H/h6oqyK7dtGwaxbpbDHiaVIpOTWHkFd3oc0OIK16Axk3kHXUX/uMnEgiFCCe/h1VNoEx6hGr1PtrVhRjJo0S6G79aDwiIQtSzFKabSHYzFl0WOcecSPMXK9j17qMUHX0OGpMFQ2IGQqQEZenroLcgHXUratCFWP4FtpRSujT9F3WMkVQUqZtdmzbQtPlzIJolffsb9zLxmqepXb+OiCdAnM9F3uGnYimcRmW5B5+nh4w8O9nFsTImvyVsmUXYMov+bbuQs4q6LeU4uo4jNW0qGeGHyS89nKb8wWgloiLmu33HxfP1288R8XsomnUuhcecg7e9npITLsHpCCJ7msksKcGuCTH53L/Q3e0k2FlPcnYe9j0vo9StRQTsoaq+0ky9kQApyQvNjyUAACAASURBVMXoHE5EswGFAO2lzzDyrqsINQQwaDLxNDWw+73HUBWZiZc9SJd5Ki7rdWg7XOxedAIGexJDzruK9X+/CjkcrW1c/8V7IMzBet5I3OI2AOzCBIJqB0Gdl7BsRhuA7+ZpFSQJpacJ8qegrHsOcfhc8jKnkFh6GIKoIRL207FjDbve/QdFR52N1mLHlJRJT81OHNXbKTz6HKqXv0blR08yfvY5BBwtBDwu4i/8G511FXja6rGk5pIy52WsW5/DVTSbOFUz0IN8CBJRFXBH0PfFE7vQ674livdv45ckDRpJQ6/DibankN6yTvBEPXpWs0RHs4SqgPDdoDNTAqq7nYNhScune+8W8mec+lNNL0aM70WwJCMUH973d8VXhbNuPZUf7k+cJQhULnqGofOuo3nDJwR6Ohh21k142upw1O1AlfagEA3JCNCEqkCZ9AStyr+oVR5ARzIF0k3od+1AyJyKvOT5vjKMSmcFQvZYcvJnck9vOyfl9C/z5urxU7eni3BQJmdQIskZVmRZwdnlw2zTozd+f7bq+rYwEVmlMPO38IaK8WviFxPFqqq2Aq37/+wWBGEPkAnMBmbsb/YK8AW/oChuqe3l3osWsWllHQB5ZUlcft+RiDmZLF4e4bGFLnSaCZxz1GXkyp0sfXwlF900nGTT20imRIIXzGdHwsWoRBA74vsE8Tf4e9oJb9nAkElP4WxoJNzmQxNvwJSSRvnCaBH2YLBzwLhkXHTpvsbi2EFccBpS0r//4PyhmJIyMCVl/Nf6i/GfowYb6KkpYcU5elQlmrmyaoEKajyTbl+NNDqJXaUv8MrKRBZ+6SMvVcOVpzzH9BH17NKdTkCIbvvzU0eVfBvZ4p/IES+jUzmQdTei6aFW04V74knkTb6Jyl0OKjVaEhLtLNsoUZoxl9FTJFLT4pFdbbgTx+BsayJu0yhMxYfRmPgwKjIJ8hSsFQ4CopmmLSv7zSNhxFxWfy7xztNx2OJTuKBgFHmjyvh4oYfX738ZVQWTRcd9C09j7BH5P98NjvGLEwyE+ejVFv5xTQuKoqI3aPjbS48yIffPFE69mJ62XlLic6HnW2XudGY629sJ+1yIkhZRlCg+9nzqypv46MXdfPZuBSUjirlgaDw6dyWSAiZdCG1RJvLqB/rV0RbVcDQxjTWNBHMS44eejG5vLYNsV7DH/hB+sYb6vL9SnHYdLa9+ReOXH2NKycN65I18FTqMBxcEuOqIRsrs+yg5/TYM6aWsak6m64j3KbXU4V96IyGvk4bVi5k291l6EpagJYkwDoxCLj3COtJSzkF0FiEeeTOCRo+y6yPUxs2Io05H/uw+xCmXojRsQG3YgP64e/ny/fdRwkFG/P62vhqlVctexpycTeZhs6he/hoAxcddgN6eRNvOrwhMnoHhw0tQZj/DvjUf0PT1kr57EDjpEvTjLqC3p4ns7ioydEPRHuIJFr2yjMnPgRrFQTda7f6EQJEQiAc+gww6E121Imatl1rtgQzBFotEIOjG323ClNw/lhuDHYIe1EgQ4TsJhWyZRdR89uZPM7EYMX4kAZeHunVryZ02F2taPnIogMZgwt/bRVz+EDr3rGfIyZejmsE2006T8Ex0HyfQrnxAmfRPWpU36VH3J/Wkk0r5eqwF96Fxuvq9TwHUxk3IIR8ZGivu1nqs6dHkr20NTh68fClrP47mQckuSuCvr87mkzfLWfneHkrHpHP2HUfS4DcSiqgkWCUEAXKSJdbsCjL/DSe+gMplc6yMKNSi1wqMKdFhM8ciQmP8Z/wqniBBEPKAUcB6IHW/YAZoI7q9+hfB4wyw+qOKPkEMULe7iw2f12Oalkp5XZh5M8yogEYjoKamc8rdc3jz0VWYz7idsvRWfKFyVKLlkkSjBILQLx0/goBWr6fz8wa2/+vhPnPayBnY0ktwN9ag86UiYuxbsQNIEKbTzWfsi1/D2N6nsfPfE8Uxfo3o6a3RoX4nZ8u+dwRGXRRBp9vGq2svIc4icfpMM5IE3S6FnbU5hEr7x1fKeDEJg2hUHset7oj2rhSxZf3lXPZwBJdXJStZ5ppTc7jt2R4K0mVmjtZx44tezp91EpekBkgVN7LuwSv6tpJa0vIYd8XziFRiVgoRPzob9bBLo7GkzmhmVp01npbgZJ68cy0AbfVw0xmLuf+Dubx234HatD5PiLsv/Ijn111AUrqVGP8b1O3p5pGrV/e9HoOBCHdfWskLiy7FnjOIYKCe4KgH0X9xD7RsQ00owHvYn9m+4FkAio+/EHNKNkG/zFO3rWPN4ugHV1erh+1f6Xn+aSsZG69CBGRRg3TC35EXXQ+qAqYEwvkzaDr1c7RCENHfhXfhS7hPuYCkN15i3JHXE7CE0Pv0aKVRbNnyFuaiSewuuAP8afz16R5W3uKi9aVzqNpfCk/SGxl5+euMeTgJg24Ib9+4nHCvjzSLH43Ui0HIQ1ZdaImnXn6CHOmPdBneImflRyhd1QCIR92CMP4ClM2vgzkRPAd2ZAhfPcnoM+7ny0evZtMzNzD6wntIGTaFiM+NOTmLjj0b0OhNRII+Osq/IrF4FAFnF35zDtpRZ+OX7P0EcdKoaewOVrBpwd/7bOec/hxjR5/20/3oPwMeOYLRo6LfL4qDAdcBUSwHoom29qPXmHA7jMSnOfFIBz6PLGaJsNSLt8UyUBQLIpjiwd0G8f0rPljSo6XxIkE/Gv3AzLwxYvxc9NSWs/n5O8me9Dtat35G/eqFfcfKTrkaUaND0hlwqX7MKW1USDeTI1yGU90IgEIAn1pDt/rZd3pW8SVLWKu/Vc/YtH+nl99BitbAqeZkVt1zJtNvfQNrWh7bvmzoE8QAjfscvPvkJvZubaOr1UNYo+Pv7wUIigop8SIvL/Nw2gwz04Yb2LQ3yHnHWHB6Fe55w8m1p9ow6gR6PCpzp/7nkmZXbYiKxjAWo8DwfC3pSQf3WCuKwt6mCJIIxVkxj/VvhV88+7QgCBbgPeAqVVVd3z6mqqpK3zrVgPMuFgRhkyAImzo7B3pS/1PczgBbV9Wxe0PLgGPbV9USb1KRBBicp8VmFmjokInIYE224Bg3lVbjKOS1T6MNHvgH1ZO6jILfndKvr5Jjfo+oypS/989+9rZtXxCXW4bemoAlkEJh231Y1TFIWEkRTiROnIhDXYlKGJ+2GVWWifHr4b/9fIqGdHRxOhAg/RgouDZI3kUy8WUSkrqTat0DJNgkXvrEjc0k0utRWbMzQCAokuR4C4lvi0sBg5JGXOhYdCRjYwza+o+prDUxbZgBQYCmTpl/vOvkzCPM7KwNYzEI6LTw0jIf9T06yhe90CeIATxtdfiqHcT5ShEX/AUA3c5/MfLM6/ra2AfNZNGbzf3mparQWufmu7Q3unC2tKNGBtYG7e3ysuqDCh65ahkfPr+F5ppfRcqBQ4qf+v35Ywn7vbTXtfdbLwRw9QRwRiajTx5J0uDxkD4MzSVL0Vy/A+Xc9+kOG0kdPpUJf36cQcf/AVGjpbXO2SeIv8HrClLnzqFlwnx8xSf+P/bOO76Kauvfz8yc3tN7AgkJIdTQu4IFBEWwoqKCBbGLitgVsYvtesVesGBBUVAsIApI7z0QIKQnpJwk55ycPjO/P04kxPB+3vt732vhvnn+Sqbs2TNnzj577bXWd0FUOkrlLhh+M5UTf2JZ6je89NwxVm6y89GuXA54O6PKYTYufp/G3KvRH6rHsdOFUhPLtkULyD5nKsYzHsItxuP2KTx8pYNg4U9tasPLAR916xZy8/lWPD6VT9ZKPPCpjnHPWvhpdy8UbxIVyvtUKZ+QKl1DnbKCCs0nyP3HHG9D+flZaCpHLd2MNOxGlF1ftN6URn/81zHsb8ZddQRX2UF2fTAXd8FqsjISGXvns4yY+QrxPYcT8DTSaeSFbHz9Hop0eZHzT8DYvQ9b933dZtsXX99NvbOEP5N/97vplkMYPGqrp9jvQneip/gEo1jwWwjpnETbw3ik1smH2SThl5porjZDqAbUtuOSYI5FbWo7tgFIGh3m+DQaju79X99HB38P/m5j579COOhj72fP4zy8A4Mjlpo969rsP7j0NWJz+pI98QYC/hqqtIuRaaZZPUCGeCs64tGTiiXcEwPp7doPNQk4o/JRB1xDYb/3WBh8mYXBlzk44lv0goWkugp0s97nM1+AldVlFGxrP6/ev7mSjNxIpYLu43thtBm4cKSRD5c3M7KXAX9QZcaL9eg0Ai6vypHKMPdcakcrCWwqCBAKq5TVnLyW+L/K2j1+xsw+xqWP1TL+vhpu/aeTwvJgu+MOlQd58N1GBt9cxfDbqnlhURMVdf+7a3fw9+Av9RQLkaz9L4GPVVX9bdnqmCAISaqqVgmCkAS0r3UAqKr6JvAmQP/+/U9qOP9v2P5LMS/duZwps4aw4tO2tWFzR3bB4dBwVn8Ne4+GEATo31XHl2uauXmijU9X+zl/cDw0lmLavImk+HOpMn6LW7uN6PExDMqdh/tIGaJGS3R6DrKzEDnUPlfOHJtE76sewusPsPneOQy87ymC3Qpwqj9TIy89flwwZMJbX4E5vv1g1cFfwx/xfsb0CNHjRZUP31vJji+LSc+J5u6Xx1Ilj8bfbMEfULnqLAsvfumiX7aOId0NzJzv5OLTBpCVshONsYr0RIXicgcf1NnISe1HjP02qhsU1u8N8fo3Lnpn6Xj8GgcPvNNIaY1MnCOi2FvbpGAzidQ1KRjFAAFne7XVYFMNcuWPyOe9EPGaxGQjNLrocekslFAAXUwW0QkNlB1ytjkvKr694nl6tgP7nn8iVxmRTpuJYI0HIBxWWPTKFt59vLX+Z27fRJ5bMpnY5A6v8r/KHz1+/v/QVHaQiq0r0PhTkCQBWW7tTnSCGUdyFtbERKyJJ3jhTNEYgeyUXLLHTm3TnlYvoTdqCPjCbbaXClncsLQXsy69nr3BADFemTM6S7x12xIObG19ny+5ezjbjb3Jv/pbAp9cyur3n6fvtMcoWDIfX/0iADx+ONBrGh+tcPP4tVHYzRLCpt8pXgMhZzEXXKxj4UqRepeCwyJSVBXmzvmNfPrwGcR1Ow+VIKXyq4RpwqR2QWg6QeFaDqHE5SJe+w3ysvvbKEIrI+7A3RQxwgVBRJS0qEqY4VfejmPd47A1MmGP6j4RqceVGGzRFK1cSPfRkxAJojEYiO7SC+fh3RjscViSO3P26LsJhrxs3voJXl8DPn8Tfn/7Ras/kn/3u9ksy+iaFXQtoZV+vxuLJTL5VkMBhN/Cp1UIHLMhW0oxaDPRqOCTwCSD1SLR1NCE51A1cu5rIEhIyTeBpqVOtiUOGsoj8qC/w5rcBeehHcT9m+vRdvDX8HcaO/9VQs2u4+Kp7sqidvvloJ+4bvl8v+N9BscPxxiMBT3UqEvRqQnEieOxyfkYVjeQNeQh9htmoBJxxDj8I6levoPKVS/S+fIPuW3Cd4SCkX0archLSyewoUsid5VGotK0gsD8vu3nqj2HprJrbRnXPH8e+pQEMnUy9S6FF25yEArBHfMbmDjcxL7iEKt3RTQaFv/qZewAA1nJWgRg4cpmOidpSIyS0OsE+nTRodeKlFSHOFwZQqcVqGtS+HaDl4QoiXGDjAzvGVkga/LIPLWwkWpnq4Pp67U+Jg4zkfM7T/A3G3w8+2nEh+fxqdzzRgPJMRKTR//XedAdnBr8ZZ5iIaJH/w5QoKrqCyfsWgr8Jqt8NbDk9+f+0VQUNbD6u6088lUfBEFgxIRW5ch+ozuTPDgHVRV49P1GSmvDlNWG+eBHN5NHmTlQGkSrgRKnQCj/SqQd35P5vZ/8svvoXnsnqYHLKfjsDfZ/+TJ7P5uHVm5Gl96H6C75bfqgNVoxZhgRsxsIqHWc/uBCGvccxRTohFttVbo0h/NwrjvKwW/fQpHbTgI7+M9CExfDZ5//wu6NJUx7YATjr+7Nns0VrP9Fj+ByI4qR6HyPT2FELwOPfdDIBSPMfPpLM9OecXPloxamPx5NiiOORo/K+Q/VsG5vmN1Hwmw96OexaVFsORhgze4AI3vpibaJeP2R3/y0OIm6JoVOiRo2Flux9J/ctnOCgD0mFp+sRVO5g+IaP2FrLAVL3mLvZ8+xf/E/2L1gNhfOyEcUW0tRRMWZ8DWHuGXeUHT6iAEek2jhgbnp2A68h7LqBdSjravalUUNfPjs+jaXPrC9miN7T7p21sHfnKDXxba3H0CVZerXv8ydz/TBYIpMLOwxRu54fjTzbvuZ0sL6/6alVlIyo5g+57Q227oNTmNdlZnp59q49RUn320OEFD1bNlY18YgBvjqHxvoHuWksKqcxKn/xJ6aQ+2BLW30IHy9b+KBd5t4Zno0S9Z6eW2JC0O3se36Yus/mbe/9/HKbTFcfJqJXUciXodjDTJlx0Qs9ERPEunSzSSLU+jSMBVpa+uCJ9YEnM0OinZ2oyxtEZ5x3xLufRnus55h6+pVGOyxSFo9Q258kqSkOOLTMrAVfgmeVg+WuO9rtA2Hic3IYdjgXqTvmkfqlsexHf6cgXfcxKAHXyDusuv4aMntLP95Hlu2f8aYM2dhMkWRktQDh+PULqXikcNo3TJaU4tRHHCh05kiO8N+0LR4kBsk8FmRDW4EUcAsg6ulipfNLODyVdHszEaMvwLBlItS+ym/+ZIFcyxKw0nKNQHW5EzqTqjm0EEHfzY6i4PEPqcDoCoyGkNbJfXYrn0wm/ZTWXeAgvJdJDkHIxE5JsgxqpUvMPvTMGy6H1ORkV7hz8lRnqFr+CWiiy+g9PtvMUTF8/1nxccNYoBwSOGHRUf5uLE1iiKkqvyaGeTca/sc35Y7MIX+Z3Uhb1QXVjQmccd8J1sKAqza6SPGJpGdFvnu9s7UHTeIf+OHLX4yEjXIKry1zMPlj9fxj6/cPPZBIy8ucrFqp5dXl7j4Zr2XA6VhLn60lgU/NvPspy4mPlTLhn2R9moaZbYebO8VPlrVdl7t9sp8vqq53XE/bPHR7O+I2DzV+Ss9xcOAK4E9giDsbNl2P/A08LkgCNcCJcCfntDkDdQx7un1xCvdWfDNfs6a3JMJ1+YjaUTCsXFUuyXKamQeu8ZBtVPhWIPM0O564hwieq2KKAjE2CX2xjxIfv1BpG3fYq0oRhk5kzWfv4ar9BAIAj3PuwZjrI7mWJke02Zz5OuPqN69EntGNzKnnIs7bTcCAtrYWIIltST0Oh33+n10z38fl7wbMWCieVcThZ99iKjR0eWc6diS0v7sx9XBn0RdpZtNy4u45NaBLP9kL+Ov7s1bj6xm6v3DESWRod11rN8XpH+OnlU7/URZRXwBlcMVkUH9ijPNJEVL3PGqk9Q4iQX3xlJQEiA9XsuMCTbe/d7NpOFmFq1uZvZlds4ZaOL1b1w8cIWdbYUBzhloZFQfAw++10DilIn0H6dSvupj9LYYci+4g/n7e7F0xzimDG5mzBA7ayskmke8QEz9Gpwr5iGoKq6aGmY8MRrnMQ96gwaNTmLBU+t48JPezHw/joBHRGdzY02ugR2RGalStAaxV6SggxxWCIfa//Cc+EPcwamDz3mMugNbiO8+BF/NUYzhJ5jz/FX4Q2aMmnrqayvY+MMRvsjewoQnhlIrB8nQm0n+XX5mIBCm6kgDddUe9EYtoydmkBmVy8HD4MjJZk1tNF/tgLA+RCgMU8daePLjJh4/8+TvkuxZw+FtM2ksyWLSRfeiFh09vl8QJYrd0UweZSbaKnL9uVbCMqzYn8eYKc9Q8d2LKOEQqWNvpNw8hJ2HQ0TbAmhE6JWpY8fhIOnxEjaLyjF1MY0tojUOhmNRJoA1CZxFEJeDMv51tszuRmwvHUpIZe+ufLpcE2LfezeBqpJ++qWMu/91tJVbwOtFiO2CXL273T1ZpSDNJhOagm/xnfE4kiMJjQTaqhrkuCi++ORhwi3K3s3N9fy48jnOPO0OunQehtl0apdJ88hhJJeM3vGb+rTnePi0KgcRWgzkplIdZqOERxMJg/zNKE4ErJqjNAZs+BrSAQHB3Bul9jNUfzGCoXPEU3ys4KTXt6VmU7z6i5Pu66CDPwNJq6fbpFtoKivkyPIP6XHpLErXLaGp7ADJ+UPpNjoPY93jTDr7KT5YPJfeGQPpG3wQj6MOBA1m+mJoMkC/K1GSm9ijuQ6HMASHdghCNw1DnpvHofcW0VTcPuKxqd5HJEsygk3SkCjouWD2aOwDe+DzyRS6jUhJ1fS5tB+JLh1nDTDS6FYw6gUa3Aortwd47Y5oPD6FZ6ZHkRonEQiqvLXMzYb9QZJjJK6bV8djU6N4/ONGvl7r5dGrHQBMfKgWj0/l0lFmXvqiTYYmjR6FzQcCaCQoLA8xZ6qDTQURx0DJsci8qWt6W++vQSvQKVHTzoB2mEU2FwQYlW/6t3xmHfw1/JXq02uJ1B86GWf8mX35Pda0avTGHkhKHZNu6M/h3TVUHHYSn2bDJSXQ4JaJs4m8vtTDj1t8nNXPyOEKkdP7GEmP0zDrUitrdvkJZenpk3sumkHTUKr2IQWcjLzuepzVhRgcuWiFSo6lF6KKIVSzTKdbhpFTfQPV0a8imQOUywsItkSPR6efQVrzXVQe6kfizqPsefcDFLk1h8HoiGft9yX0H2MnPsX2Vz26Dv5AzDY98ak2rFEGKooaCAYig7bBpMXXHMQQrqdfTgzfbfaRHCuRGCVR3DKwZyRosJtF5n0e+VHYVxxidL6R7zb62VXkxqgXuHWSjV6ZWgZ01WEyQEKMj4+ePIApdjljSx5iywGVmgaFWyZa2VtrYf7uK5g8eCKj+9k44wWZshoZCNE8PJ6JT3g4Wu1DEMxMPn0SM+8eR+V7U7A4PLw4fQt6g4ZwSCYYkLnxqRF89cMNNJ6Qk7fLkcpt/a7AsuFNhIS849uTOjs445I8fvps//FtjlgTnfPi/oRPoIN/NxqDGb01EoKq0ZvwOSvxrYwIPYk9zuSXNZGJza9LCzl4hYP3/RWk6Ix8ljeYAS3nVR5tYMvKYpa+s539mytJyYxi8sxBxNsTGZF/iJL0VF5Z6KFTgoZQWGVkLz2pcRL+oEqjxoYj1kRjXat40tBz0yirj3hr6+qOsHTtPK6f8CKHflxA2N+MqsikR4XIzTNz00tOLj/TzEtfuphztYPvGsegHTAAd7PMIz+Yefr6KPYW1zC8p4FP1jTz0i3RzHy1gdmX2bGnLMUsZAEKjeo6GllLrTID07Af0OmbKF3vgDWxxHRXOPiRH1ED3aYZ0ShD6XnpLARRxJacjPbQcpRfnoOgF6H7BIScM1F3tTXCBGsCZm8VysQX0JbvQrP4Ogj5IO88AvmXHDeIf8PrbcCBhZrli0m9pg+S5tQNC2z+zShObRHaCnrQ/uYpDvnAEknN8FRqMSYEUIQwshrGrGhwaQDZjV1XSYPHjrf+t8m9iGDqjupah2DojGCJR2ksQ1VVIkFwrRijEpCDPrzOakzRiX/SXXfQQVvsaTmc/tBCPDWlSDojcXkDEUJujK5ZiHIVgmkuOWUHmDt2NvXWOOq8CnFyLoJoQBRAWDQVJSmbIusmYoQzEZAokp8EQEqwkXfX6+hXdmb1krb14cdP7YpF1bCNBi7UJXB1bQzuKj/OwSIPLRVxewVmX9LE6tWTGTZmMy++66KoxTs7cbiRi0aa6Z2p461lbmZebOeu+U5qGhX6ZuuYM9WBKEJVfZh7JjsIhlWuPNPMq0s8aCWodMp4fJFoDr1WwBf4nVIpEJZVzrm3hkZPZN/4QUZunWQlGAZJVBnUra32glYrMv1cK99v8tHcEkmXECURa5fYezTEqPx2l+jgFOIvF9r6W6JrolB+AOe+dL56fRvvPb6Gdx//lS9f24pOEkAFhYhh8ewN0TR6FNbsDrCnKEhzQGFYTwMfrmjGW9dMhdgX+fMbULd+SNOhQjx7DhCfkYNNrsfXtTPH+JIi+SmOKs9SKM5GSK3DbzyKU1l13CCWsOLjCG7bOix52wkZMzAnZ7X2VxCIHnoLz9+5jq0ri9vdjs/vorxiN9XHDhA+iXBRB6cG0QkWZr827vj/On1kTevnLwuoONJA3aEamn0KN59vZfwgE+V1YXplRnJhJgw18vFPrSE/Z+Qb+G6jj11FkffBF1D5cYuPvUdD3P16Aze91MCFD/lZ8lMWZQXTOf/BRu6c38C7P7hJitbwxrceCkplHllkYPk+Y4tBDCmxEtUNMkerw0RZRebNiOZYI1w0T2R9j0UkDOzDvC8mk9c/lZSsaG6dO4a8fFMbgxigobEclykWIbUvgc7D8bakBhiMWmY8MZobHjudznlxnDu1Ny//eAUpmae2N+v/KubYZPKvncvh5R/SY/IsYrsNxGCPI3XkFGo157H553IAMocksZfI+1sR9HFD4TbqQwFUVWXlFwUU7a1h/+ZKEjPsjJ/am5fvXM7sq1Zx1ZQq7GKQ6eMtFFWF6ZOlY9wgI+v2BshM0vDCcpXzn76AkRd1Jy07mimzBzDwkjoOF7cqrB6rOUjAV83ptz1Ln0tupdclM0nNzmLas3UcqQqj08CcqQ5W7vDzzvceDtbZEcxx7D0a4t3vPeR30ZGRoKGmUcGgE1j4oIMefb8gmHAHFcr7xIinH7+WP9BE5Y44Ph+TRPU2GyG3yr43fIRcKgGnys7nvYSbNYjhZnZ/8gxGTw3Kj3MgGDHq1X1LETNHICT1ijQoahCHTEcp3QqhZvj4cnSKj1D3C/GPuBfF58KmyIwYOp2zR9/NacNmYDJGodOZMWoslK796rh6/KmKWw4juMPozFpkOYQiy2iklhzBcABBoyXsh7BPANGNBj0BpRmjAi4NqL7D6C2JmIwCroCfsC9yrmDMRvUWRES39NaIaqCvveifIAjY07riPLT9z7ztDjpoh94WTUyXPjjSu+JvqGHXJ89B3DXgPg3l45moq1+FxXcR8/1DJFni0AhaDKFGTMEMOQAAIABJREFUDK5iBGcxSmwyXqkMm9ibGrU1s1ElRKVuAdln1zLnq350G5BAbv8EHlzUB+OIf3C1aOcZQzZJz1Xw6PlfUB0y88IXTVx7TmSRaVC2E0EU2bBPpqgqjMkgMG9GFIEg3Pd2A7uKQtx/hYOpT9dR0xgxXrcfiohdLfjBw7bCEOv2+nnpSxcjehlIipHwh1V8gdaU72UbvUwe3Va/RKeNGMu/GcQAyzb58AZU7n+7AbtZJCOh/YJgbpqGOVMdPHSlnYevcjBtrIWnP2nCYYmYVBV1IRb/2szznzfx6c8eDp1ErKuDvyd/i5JMfzca1fUIgkhNiUzv4elk9YzHZNFRXdZErE1EFOFYg8L14y3MftNJuCUC74VFLnRaO7mpEucO0NC45wCV1BCVcQ7rwtN4Z24JqDD13mROG9UDr7gCj9oq4iXjxqmuIUY9hwreAkQyxNuIiOFXoiUKfeYGLFHpMHwQnYUxEAyB3UKtMwqv+xCblh9h3FW9jrdZXVPIl1/PovDwKkRRYtTIWxk18lasLUIjHZxaDBqThSPOxOLXt7F2WSGT7xjE5//YzKcvbeKGJ0YRbfOy45iRvUUBXrsjBllWue0CK4Ggitkg0NRiFw/I1fP0J01t2j5viJGnFrbdFvDbuf7pZpyuyI9GdoqWZRt9bY450TOSHq+hsCxiaN98vpVH3m84vlL77CKZsloLs4eIDBubQ3VVA55mH5K2fTkDg8GGodMgfu02gRtKi8mqreWh9DyG2mJI6RzF1AdGcPGtA9GbtGg0HWt7pzIpA87GkpCOu/IovS6/F0Fr5+1nCvj6rUhWTVyKlS7Tu/JPf6ui9D6vi5pQAI1bpnB7FfXHIi/22Ct6suDJtYRDyvFzD/xawqWje9MlRYvNBJX1Kh+taObJ66L4cIWHWz4OcsmIodx0p4FjjQWsXzm3Tf+sljiMzjIsy2Zj0Znx5FzMsv2h49+JLqlabnrJSYM78v8Hyz2MzjcwZoCRfcUh5ky1c9/bjYzqY6C2USEqbh++uDuPt6+ov3lpBUzaDOrKW35QRChb3n4yVbM5RP7UBFBVFGcJ0u/2y0vuRLzkTYT6SFknde83YEuCtL4Q8BB2dGL19yvxHPuJtIFnEaUxsWvvUlyuaizmWM4+4270YYnGbb+SecYVaAyndjigRwmDS8Zg1REIuNHrTBHxBYCQHyQdvlotertCOORDpzPiVz2YZDsNGhU1WIVgySfartAcqsLntGJNqQfRiKCNR/UWIJh7gT0Z1XkUwRTdrg/W5CxqD2wlddC4dvs66ODPRm2uR0eIbkPOQqo3oSyf1/aAmoPoawtQ0zujbvoRteWdlvasIfG0cSim1siSFPEadETjpQifZj/54zuRMOoQAbkaj2kFLvxEuWaSVyHg6JvCgfUV+M02lqzz8/69Zt65Oxpns5v42C58dzAyd7hxgpVnPm2itsUAfmuZh8KyEOMGG/lmfev8Y9eRIOMHG3ny4ybmTnOwcrufTQVBHrnKzsz5Dfzztmje+8GDqkZKVB4sC/HiTVF8stJDnE1gxkQHN73UXq/CH4zMWZ74uIkz+xnplNjWME6O1dIpUcPkubXH5/8Duuro11WPL6Awf4mbZz5pDdW+YISRF2+KJiXu1I24+b9Cx2zyJAiyhUSmULzfyRsP/cLH8zbw1qOrKTlQT4I5hNUkkBEv0exXj38hfuPNb93YzBIT4qv58fUNxGWl4h90D3GmBqbfmowgqDx900q27GoiTGRV2Sb0I02cQYxwNjXqUsx1ZxMlnEaW+CA6IRYRHWYhmxL5FTSCnbC2gh/Wv8xH6+bw8dan+ein+2kIrScq3kzPIakAqKpKackuVq15lcLDqwBQFJmVq16iuGTTv/2ZecpkKlYHqdkeIuhpH6LSwb8HSRLJG5DCyz9eQfdBKdRXe3ji84u48+Wz6NatgV4pPzE0R2VgNz3fb/by0U8e+mZryU7T8sAU+/F2DleG6N6p7QCtqiD/7qOzGMXjP0wAZTVhMpPbrqU5XTJdUyPb9hYHGXhCuNFvBjHAuHyFS3MP4dBuw11dxJfzt/De02v45v0Kzhz8wPHjRFHivLGPckhr56ZjVZyvxnJmsZFN28ooaGw12s02fYdB/B+ApNERndmLjOHnE5vTj5jOXZjxxBm8tvpqXv7xCub8PJnZ0pE252QazMRodBjNOvQmDTm9W8vZB/yRqAJJEph8+yDm3/czj43+J8mBGtLitKiqQCCkMvtNJ5lJGu6/ws55w83cON9DVW0iA3rNaO2bpOX0AXMRylvKEgWbaYjqj8enIrW8evVNynGD+Dd+3uFnQNeIV/q1JW5G9TFw6QiRYTEH6RGoJ8s9HREjICAKBvQk0UV6BF2MCUuKhCCBq0jBktH+/ban+9D6nAiC2FoP9ERsyVCxE2XFkygrnkStLUTsexnqzs8BaKyrw1NdAqqKmJjGB4tvx+WqBsDTXMd3y5/E4JMp3/At8XmD0Jnt7a9xCtEsh1FdIfRWLX6/G53+BCNfDkSMYqcGnUUmFAygE434ZQ8WGRpEH0hWEHTERgs0CDX46k9ITzJkoDbvAYgo5Ncf5WTYUrOpO7Dlj7zNDjr4l1H2f4epaT9NRmi02CDUtva2kNwbdBYoPoTa7RzknLPBnoKqt2L1XEpicTY9a+4hQ74Rr3qYo8o8jimLKVTupVJZiM2YhN2SjIIfk9oTU5yBuD4H6TTyKHMXjyQpKSLiNfXpejx+lccWOkjpdBVj+kaU7o06oc28A2D17gC9M9suoMc5RJqaI8f5WgzZ0uoQ6dHw7q0W+qbJfPZwHMN76OnVWcOonhLSgQIGlPzKOdqDBAIyeZ3aL8qb9JFFM69fJRg6ucD4uIFGlj+bwKu3R/Ph/bG8NzuWvAwdu4uCvLCobe7y4l997C7qiNI8FejwFJ8Ea2AUTYdjWPDUYs64sQ8xoxIQBIG6n6upq/FhtNuRBIXk2Mgafbd0LVPOMuP1q5iNAmaDwLsvr2PqEyPJjK1CXTSDmKAXNAa6P/sMd95r49t3D/LQBaeRhRmXso1K5WMsQi7Z0sNULEwnZszNhLot5ogcEeYW0JAlPUiZ/DZZ2taU699qxTYHSuk76jw6D03l07JSuvjqObjzLY4UrWt3fyWlW+nZffy/7XnV7gzx48VN+Goig0e3aw30u8+EMe73PowO/l1k90pg5otjCIUUdLoWQSq/CTxOcq1fEMi4nP0lGqqdCre+0sCNE2w4LALvzIphW2GArJQwV50VxeS5tcfzYmLsIp0SNRRXn6i2qOKwiMfDi0prZDolakiJEamoj2xbttHDhw86+LXAz74ilR7d4fKxBqQWlWmLUeCTOxSGVz+LfuN7AFwZnUXe/Ce5+/o9fP9hAaNGXsY1l/ShvG4TNns2dR4LmpIaVmYmEt62g22F0bw0txDNXYNIu3sYVofhT3rSHfwV2GNM9BkeKdvhDoeYpe3KE6UFqIBV0vBGdj/idZF34MIbB7DqqwP0GpqKHFYwWXR4PUH6n9GZn7/YjxxW8DQFeOeOJVz49tXUNon0y9GxrTDI4l+9mAwCS+bGU14nI9cH2bisCyMvfRNVchNujuLVm8uY83APclv6ZnNupaJuPAvujeVAaQhFhXsvs/PiFy4Codb8teQYCUVVKauViNc3cYn8NoYvXgRVxWxLxj71YVwpQQRFQ6w4lnrlJ2w6E8bBFYz+PIxze290xkTKfgwR8kTaNcQKZAyvw2BP4PxZT0GgEXHgNSib3410TmtEHDcXnz0NU0wmqhJCiMtB3rwADv2M2nMSxQV7jj/nsFFHs7dtibRgsJnmUGRyKoin/hjuCodQXGH0Fh1OnwuttsUolsOgKiBq8DslDNFBvM4wesmMT3FhlaFIpyBoInnt8TESheX1+J2tpd8EfSeU+sWAgmBNQqk7fFJPgy05C1d5IeGgH42uY+zq4K9DDbhRfn2FktPv5PXPZjBiyNVM6H8F6uYPIgcY7Ih9Lkat2gOBZoTNHyKk9kG94mPkUDPRb14InlqiBBHH2XdSMESGE+zKWnUpVjEPWfVjYwgp3vsoyZyCVzgIWeAN59LP9R7DezhYuzeAq1mla5oWS0ouw3rv4bqqAUhSe7khjQSdk1pNFlGEmRfZef7zyEK5Xhs5Z2CSj9IVB7DlpLFDiKPBE+bBK6yUrN7Pwmt/wesJEhVnYuT4LGLtEqP66Gn0KGwqCGA1RbRVlq6PLBLMOM9KTlp7oxlApxMZ2dvIyN5tRR/dXpXQSQrBuL0dzqJTgQ6j+CQUb4xFDiuc+8RQvhgYZFuwDK0gcNe1nbGpGraXB0iO1ZKdLJGbruHqMRbue7sBtWVBKT9by0OfXsSQ1CLU1246nu9F2E/i1nu4/pZ32VYYQpS11PIDLragwY7J1RNXqBDdddlIspdDSmulKpUwxfJLJItTEFyJpMT3paJmO4IgoKoq2d3Hs7NnMvdLh0hqNnBmQwE+byNpKX2odxa3ub/4uBz+p6iKirtERgmDJV1CDatsebT5uEEMUPCOn/RzdKSfdepPqP7OCIJw3CAGEA3pYIgYEn3M2/AOyqNzkpbR+QaammUaPSJxDpVbJpbS3GzgiqfDvHlXDC6vQrRVQlEV5t8ezTOfNbBmV4hB3TSMHV5L7xwjU58U8Acj3jEjQd65XkNtSIMutpgeibXYdAri2NcYLcWzp2EqR7Qq5+h6kL9ew0WnWUj1/4x+x3utfW04wsD0L5jz+jU8MmMdcTnw8/bXScqYxus/DWDpxgB6rcB9l9s4rVsXzik6G+Hh2Tz74HqGjs6k/+jOJ30miqJSfsiJu8lPYoadmIT2NZA7OLWwarTcnZrDuTFJOENBuhgsZBhbS4p065+MpBXplBuDzqjlntfG8fytP2CPMVFxJBKNYzRruXjRGOrFIPNfCTFtrIVzB5uQFRWDTmDXkQDnDzMhSEG2raxm28rqltYjZZg0pqTj17MfXMhF5z/FpMfqjxvBSTES90y2MffDyATt9gut7DgcYHS+idF9BM6J2Ylh8QmVB12VWJZ9Sd1VvSnVvoOVPiSKF3FUfpz01A/ZevdVpA2dQNrw2xmzMBpPSQiBIDHZzVilHRAIwN6lCEY7qqsKaczDqOEgCALKtk/Y220c/Ta/jzTsZmoCdioz7yU67w6ihWpKv7v9eDe0ioBWYyAUbi1zIooSekGH1mTDeqJ2xSlKUyiE7A6jt2gJNHjQtihPE/aDpAdBwN8kYUr0odHqkEQTjeEqksLQoJFAG9ErSEsUWbnWSXNda1QCkhVEE2qgFMGeglJ68igsSWfAnJBBw+FdxOUN+qNvuYMO/ksUQSKUcza19SUM7XUBm7cvZuw1H6DXWVEOLEccfA1K1T7w1CBmDIRuY0FnRpAktF/f31ruTVUQfpxHWue51KW3db6oqkKtshTH3k+oz1gRMYhb8GsOIFu/o1fW1dxwnpXq+jCDegSxZd9Pk7iOK6cPRqyew697Uvl5e6t39abzrfTvEubrOXHUuhTqXArvfOem3qVw+Rlm9pcEue98DWU/bqb3DQN4YInEthNK+b17dy5PLoqmqd5PfKqV1C7RxCaZCMgCvoDK5FEmumVo+fTnZvxBlaenR3H+0LYG779C53iBnp217Dna2vdom9hOxbqDvycdRvFJsNgNrPh0D65pyWzzHMEqaXjWm8naWZs4Ni+LRFMIjceLW2vluRuiueUfzuMGMcCOQyG8IRMEVkPA07bxcIBYq4fTrzYhhytxabZgDncnetdkDi74gEBTPakjq9GdO5Uy+VPidH7s+k8JSD8QphGjks3ma5OZcNd7FDXuJlHTG9FtJuwRqLIeZFVTLY9k5KG6tCTEZ2O1xFNUvAGX+xgAnTMGEWX/n5Vt8jfIHFjgZ/vTXpQAdJmsp9dtJqo3tg8L8ZT/9atiSkil4aCMu0TGlCAS1U1Ca/6/EW4r2vqR5ijjUJmNg2Uh9peEuGy0mbwoH3ghIcnDrMtNVNXLrNrlRxDgxvOsTHmqjjdm2nn5dhda+wY0pkPI6Z+x7JGv2bw+gFENsvaZH1nV5GPuT3Hoa+o4+PhHBNxOUk+fhDhmEjFWiSmJFkKaQhbOSuWDVWHs0oF2fVSL1tB9zE0sWHcRmmQzqa4hNAmnkZUqc/P5OqJtEvOXuBEFK7oJK4mqrmfy8z1w+SEYCB8XGvsNvy/E9x/u5uWZywn4wyR3dvDEZxeR2y+p3bU7OLUwShp6Guzs313B4s/XoqoqZ1ySR/dBqYQVkK12fvnqV35dcoCoOBMTrs3HFm0gs0ccrz/wC6fP6M1zxjJ6anxcPDqD936IjMuiCI9fE8VTC5uYOtaCaLaTf2YXdvx0GIiEYI8Yn445yU7RqKV46l0k5KXzz68Cxw1igKp6Gb1O4L6LjOQkS/hDMu//4OO7TX6eudlPPEXtb+roetSmpwkZL0dv2MRh6SEMdELRRsKVy9YvJbnvaJJjtMTZ/VBzAGXxEygt3k3p7IdRdSaUpXcjn1DLu3HUrMi95Y5hi24cU57zUXxMIcoq8tpNnUgdcQnlv0ZCqWtWfcOki+ewaNl9qKqCIAiMGXY7SnkVIx/4AGtSpz/i4/xTaWryIRlERI3YUqO4ZaIbCoBGhxwEJSigCh4kjQ6dYMKvuLGGvDTqjCiCERGwmEVsJi37Dip0O6F9QZ+G2rwfwXE2uI6hhvwI2vbeYHtqNrUHNncYxR38pfgCXrRRaQxa8xKIGk4beTNfrn6b84dMwSxqQNQixHRGiMtGXvMyeJ34RtxLoPgAjspd7drTNEShTx1FQPwFAKvQGy9F6IREEjtbKDe3TxvwazfQq/N1rN/n57WlHt5+qAaPGBnDfJqNkDqGB2fey1X7p1JwREPvTC1Wq8R3W8OM7qni3bafzIHZdLrahpkgtYVVVB9tYN3r24lPtVIn2dhW2Fb07v53m/jxqRQGnd3W0D2jr5HB3fR4/DIJUVqG9TDQ7FeItf/PzKPy7cU8NSWO11Zo+GWnn/wuOh64zErvLP1/f3IHfzkdRvFJ0Okl8kd24lkporo5XUjhiynLuXfRFZjCjRzYXo6qqETFm7F1T6eyvm2sRE6qhmiTFo00AvSWtoaxRk/asHhKOr2AruE6xBg9saWT2fFSq9BB2aov8Uo6Xu07ij0+mVtTpnN+cgBBPIy2tg816wUyLrZjae7Lzrl65IAKqMy4phtZV5roIqgcs2eQ5K1l2Q+PMXzo9eh1poh4WN1hXPUNkN32nkNuBW+Ngs4mYow7ueF4bGOYLY+05p4cWhggfrBEyuk6Sr9vKwhj6/TXe4mPfhvgl2vdqC153/0eMNHzZuP/GcM4PV7gioxpDM97HZ9P5I2bv2LoywaOdX6MUirJPa0nzgPzmPNBIv6gyuM3VbLwwUzW7lbwBWycPlKPD4WQWIGu10UMUe+iZLuRS+6JJ3dgFNrQXnb8o9X7VbZyETEaEw/0HMogW5ir098nZNNzpOJBnPm5/L4YSTB1JI/dtRdXY4hZCyaQkDaD6Y82MKSLwGmpXtRSP/OviqVWUWhwhvEr+6jQZtLsdFCzyk1YVuiTbSA52kfIq8FZ46WmzMXkmYNZ8eleKo828vSMb/nH8inYov7/V3w7+Huxd2M5t4z+AFlW6dIvGX2XdPa6XUh6Da8sdnHleQM4sKWC2ko3Hz+/gVEX53HubcOZ9rCKnKWjOFhOcbCMmedaebV3MoGAgKKovPltxNswf4mbTx6MYegjo7h4Rj615S7ksEyXnrH89Es5786NTNqmP5uBPwh3XWLDoBXYcTjI95t91DqD3NZ1G9tKtVj1Yb6eE4+a8BOqbSnB7Tfw+ymR2mkoj9U08oW7iTnJvbkk+kmslk6UhQNE9RpJw+41NNdXErYko6stQP7pqUi4L4ASRv75acRzn0Y46yHUNS+CHEIZcgu75RA9UnpTE45hyjw/xcci5zS4FabM87P2mZkM6jOMoKcRW1wiVlykX/khjUEv9tgsosxJGMx2tAYz/wm4nH401oiXxudzode3RI+EfSDpCLokNGYFOeBH0mrRiXrCagAx2IhR1tGoFYluEW7rnmHip4Jyzg+BtsXxI+jTUNxbIHoc2BJR644gJHVv1w97ei41+9aTd8Gtf8p9d9DByTAeWYX81W3H/4/64RFGjXuCuQumcueN36MRdURX70ctXoeYPQo163QO7ylELdmIPaE7wrF9bdrbqY1jzbF7mZCYRXwgBzQm9mvuoov0MD71CPrGM8Cxps05enkMPaJ9eA7U8PwEHelRRsCAQmvESjDmadJ0nfjowXLWNQeZ9sw4ojI6U1ilYuuXx7GCUl69ZSn3vTmeRJuAVwoxZfZQeg1N5afitnnAZ/c3MCBXj8sHiqIgim3ngGajiNkY2WbUixj1//M54rafi1n0z0Wcd9NArp7WlYq9RXwwYx/DVl+N2dZhGP/d6TCKT0KzK0DRvhrOyk/kl6ZaMusljkQbMYX9zLnqK3R6DRfdPICFz2/EGr2Ly8eOYcHKyJd53CAjE/uHyKxainnjh4hj56B8/1AkhFpjQL1kHoK9iLySy9Fu+YbMcdfSXO5t14emdUuZNOgc9vg8vFLRwNkx15Br0nPYqGP0kVpcZYWoxSGybu/JoRdiSDgNVF+IqTVmvlpxCQmZI7D3nUxO9un8suaV4+3q9VaGdb37+P/O/WEqVgXxVikYYkRKl/vpO8tC8unadvUWq9e19wjv/UeA3k8KNB4ScR1WEETofaeJ2D5/7avlOhrm19s8xw1igG1PeEk7U0dc3/8bRrGgT0XtNJvM4F5qGisZf2sU7q7TUYgoRyoyJFt28P7NMlH2OEL6RLwZxfRMNGNs0lNT0R9jfA0p+mmU8xb0vYnEvjps6nj8oSkov7bP+3GvW8LEfmfwTM0xLoy/Dof1fc4/o46PN+bxxICpsOV9ANSYLNTht9Kn1E98golVH+5Db9Wz6KYurPhgO5/N243BpCXliVFs+vYQ724sJ//0VCbcXMtn+xw8/H5kIcphaebdGzT4Dx/h/SfW0lDrRW/QcMWsofzyZQEHt1fTcKy5wyj+D+Dbd3ciyyrpubF0uXoMt38VBhoBuONCGwu2qpx254Vk6D10yzLx8s8i9SsD9JY0JJtMdNFbOBzw8GLTfsYkNHKaL4Mswc4dF9locCuEwrC/JMxul8zBd9ZTuDVSJuyGuaN4e85aLHY91z16GmWlbs7sa+DJT1x4fCojeup59GoHXeNkog69z+gzR7Az43lcLX1LbJ7Koe3b6drvGrTb34so2tlTaB5yG1sDQVZEW+i9+gWMzbXQqT+GvuehnXQtsrMKFBmx7iCqHI58YU8k6IWAB3/aeZTHX4w+WkHfQ6Wb0Ii05yvKw/0pPtb2nLAMlU6VXGuAWpefyr2bsSR2whTtoFvvM/8j8109Tj96WyQv0OdvwmJtqWkejohsBdwSOpNCKOhrqV8sohPM+MI1RIWiqdG1GsV52RoOH5aYN8/IPff4kCRAlwhhJ8huBEca1BTAf2EUH1gyHyUcQjyF6z53cOqiKjLKxjfbbY8t28qM6xfyrMfFa7X1lKZ3JaapHLWhFH/1EUrWLUORw2RMuxv72sfBUwOCSM2oe3hJNtCz0UXOkVikDfPAnsiwc16jMHUZFWuTaazIosdlt3HM9CqgEBeYjPbYYO496z0C/jCTbuhLUZOJvtEzccY/dbxPFu8ZrPwkRFN9RG36nVnf8exP13DYa6aoRiWrWyde2noLNTuKcTl9DDgzk6/f2s6Xr25l2jtT0EiR8e6BK+xsLAjwxEdNvPiFi3svszNtjJmk2D/mO5jVM1L3/Jv5m/lm/mYAzp3aG72p4zt/KtBhFJ8EWVZZ/dVBrrsom0usScRpzFx252BWf32AukoPN8wdxauzf0KWVSZcl09+7zCCqmPRhhCj8/UM0q6hk7ofup6JCkhXLkRtqkSISsflVwhu2YPBexApvhsJPx2kIr19tW99XColJ8RkH/PnIqul2M0PUiZsxZY3ApNhEL8c+SdnLXqVNx7eRtW2RsY6upOZN5HNW17AWbaVS895hyhLZ3Yf/Iqk6B4My7kHQ3MmqqLiLJD5dlwjwcbIdQQJBs018+PkJiauiiK6W9vXw57T3vtrypJ58fHvGHtVH8YP6IreLmHvokGjb28w/ZkEGlVCrvaqgd6avz6s+89ENHWlRDOfjGiR3OQMiloMYg12KJzI+wtnAzDkwvlcV+imJBjJF7rdlM6ADVoOboxl0p15dE0/DWegHKMhmVcrjbxR2chSXfvSI/r4VEpavFk1ITc2ZQuDB25iUPQwhI1OxLMfhrhsVJ0JY9kvTB8bi685yNpQAo/P2orZpGHFR7sBmHh9Xz54Zj311R4EAY6VNrP4pQquf7wzeo2R6iaBdXsDLNgg0nlvKQ21kcWlgD/Me4+v4fpHT+e7D3ZxrNzFge1VdOmVQFaP+D/8mXfwxxBsUZUedtVgZn8T+bt/10gN4K/WNnP1GCuPfdAIGHn4KhubizzckV3Kh8/8gt6g4a6l5/KIuYSaUICf/VXckJbK0y+42LA/8p3omqalf1cd/Q2Nxw1igIAvshh4wYz+vP3oai554WJufLdVBf3XPQGSYyXiy49wZPTj5C27mvwzbsTT2QqihEXsi9xjH1qNjJR3Fmo4QAgtdbLEfRYDQ3Z/jJiaj1p3GCQTxiO7iO2TjO3yGRg9PqS6Q2CKBo0hkgf7G8YohNR+rJ6Zji4+SPdbVbbufJqfN73HhOE30jk1nSir2E4ZO9GzA913V5ES15WoUW+iRCcQldWp3SLofwpepw9bi6fY73ej17V4wEN+kLQEnBIao0Ig4EdviYSu60UTPqUBR0ilWq8htznyvulMAXppBnGgvpqlS3VMmhQEJNCnoHoPIkSloVTtQ+x9Ubt+aI0WjDHJOA8ziRz2AAAgAElEQVTvJDZ3wJ9y7x10cCKCKMFJ0uc0jljqdCKvldUTrdFR7mkmoMYjxg7FGhOHKXYrrorD/Prhy+SdOQ2b1YCYmc/koMAxWeWfNeuQVj4VqYve93KkRj95lfnkmQ6h9k0k/EuIThlv0JDWmUBDCo9e8jUBf5ikTg4QBN55dC37tiYy6Z7XMCVXYjOm01CYzrdvLMdo1pLeNYaaMhcFBU1c/2nrGPjq7dEkWRy8cOXXmG067nl3EoY4B7+8vJyP7xvDxyubOVoVZuX2yDlev8rD7zWSm67lghF/jJHaf3RncvsmcmB7RJciKs7ExbcO7KiUcYrQYRSfhNLCeuqqPBxeWsLY3hb25AQZdn4KBe9G6mYG/WFkWaVb/yQCvhBzznuPzJ7x/PzxCDYXacm2VKBs+h5qI+ICMiCNnYO87AGsE57jl68XYItPZdClZ9OQOYrvfdC5c0+8R1tKO0gaDBfdzqeeSE6EQRQxSwJm0014ieQGO4VvMWYdJDNvIEerN7NrQ2QS98FzG5hwQy6JmXlUVe8jKDfQzfUg0Y034N1mZPP9EqKmifN+dFC9IXTcIAZQZSheFiTrGpFdO4+w6eVDpGRFMWxcDpnd40gariW6h4Rzb8T7oHMI6Ic1suvOUnZvKOWt9dfQvXvKf/lcj+6v5dDOakRJJKdPAuld/7hayaYkEUuaiKesdUIoasGW8deHdf+ZaAUHDs1pNEWX4tC0lhJxeCex+Nu3AIiJ7sR6UzIljREV2nS9ifgf3LzwcCRcdNk7YIsycPpjF2M6K8iCmv1cYI2hSavHlN4Nb2kBAKKkRTvxFr70NCAhkGKow8sRDql3M1R5C3XfUtROQ1CWz4XawuN9MZ4zl1HyAmpn3Y3X15qKYLLqqK/2kJOfyJjLerB7QzkGk5aGo160qzcz6cJ+ZCVHIYoCSlnbWqqqCqGgzPS5o5g96XP83hBGs5ZXfrqS7gP/63e0g78v513bhxWf7SOo0aHTCDx5rYM1e/zsKQoyZoCJnJayYN07aTlUHuasHgKbP46M2QF/mI8v/I5bZvUn9YwsorV66oqbyO8Xw4b9kfZ7Z+nYuD9A3+5tU0H0xsjkyRFnYtqDIyhXjYAfgy5Si9ugE1mw3MOYkWYKDzezfszTXLbmWaLl6exe+S05vUNYfrwbVBUZwJ6Ktt/lJIX8DMsZiyBpUAq+Q+h6Nggial0RZncCSq4Hx0tPIQy9AXnje/+PvbOOj6vK//773vGZzEwmmXjSuDXS1N2hpS1StIUWSpFd2AKLs7gtDgssLGXRBVqsQHGoUGpUoe6Nuyfjeu99/piSEML+5HmWXR7I+/XKH7lyzrky557POV9BNfMupK8eAb8DTHZU029B3rWc3PstRMeKBN0C67ZHgtl9V7GZ8TmT+PsVqVzwF7kndeA9Z/nIrzxhOdR2FFPjStQjH/7VCmIAf2cAvTmyUhwIuNCeiD6thLyg1hFwqDDYQ3jag6hP5EzXCnq8SjcxYYF6/Q+CGWrDoKiZNVPitTe0zJoVRK8HQZuC4juKaJuJfGQViqL85D21ZRTRvG/TgCge4D+GauzvCO9dEbGUANBFIebk4wgYgU5e0hmpeeRSKgKRSWZLag6lZ/2Bb567mbDfw75PXyMqq5Sd6WPY6eviTlsMcZ+/BIA48WoQBKR1j0LL4Z46tafcg+rDq/HMeYxPBTU1hyKuiaNOzmTDyki8kW2fNrPt0xOp9K614XG2Mf/a0egMGo7ubmLI+DQSEvSIooJ8Ylh3xyvdvH9vHK8evIqAoOW1tV7eaTIwd7hAw6ZD3LmgmNl39M9DvL8qyFkTfx73kJQsG499PJ+KA22Eg2EyCuNIybL9LHUN8K9nQBT/BPXHO7nk7snEJJlpq3ZQ4NSyO6OZMXNyOLi9AbUmMuMzekY2bzwSEQ6V+1vZvHwfybPHgKzpEcTfI215HrHsHJSNf2XU7Z9y8JXr6XT6Ofja7QweORPhojtIbWzBXduOtaiQW7UhAqF2UrUGnhhUhFY8QPCEIP4eH8dJyZhL475An+1f/qOCq14+i+bWQzgOqtE5BSpf7I3CK4eg9ssgsaVqtFaBoKNXGAuCQrO1mqcWft6z7e0nt7N0wyIG5cYyc4WV6o0uGssddIQ6ePjuNQDojRq0un8uOI9818RVJ72Bxxlpa7TdyDNrFpJTmvBPz/l/wVkuUXKVgQPP+XDVyOhiBCY8Zf7J1e5fO5Kipk2/FQujSOVy6uUXEcPRuD2RD1OMPZs1P7CyPE+J54vH1vYpw9nlJ8rbzXBVFB8EA4Q+eQxUagZdcAtqZyehoI/q+DSu9LuIUWt5LMeMRncd38uLsNqPGhD0UX0EMYC09QVUeScxvTDI6t0aBCEialVqkbGzspkxv5iaox0Uj06hobKTey5cyZKHT+LZS9/hjnfm81GlmXjhR6alQM6QeCr3t/b8Xn2eEMsf38p9y89ErfntvQf/v1M6Po2nv7yAY9V+bjjPwsNvOehwRkZHx+pdtDvCnD7OwA3nWbnjpU6MGoHkJDP1JyJQe11BPrxrC0t00+kAEickMF7TSvGsEAGTjTU1YUYXapGs0ag1IuETJrPfrqvk8j9Px54cxYt3bWDin1I4Y5yesydH8cInLnxBhdsWWNF3efAHnTTqY2ie9QCxzfUIoohxzwmT6e9x1INKjW7TC6QUnQpBH0JCIfK6R0GWEHKnYfDO4mjc68QNGob09ROoJl+LIoVRnfk0CKC0HUda8yBy+miOOg2oOzsoSu0NLJORXILK1cqM5MN88nuJlmAcOXEShfvvxFC/vrctlesg5ANt30mlXxOh7iD6KC2SFCYcDqLRnPDrC3oQ1DoCLhXGRCcqlQaESF+hQ40bmbigxM7oXj9AQQCtyY9Fqyc1NcjWrRqmTg0haFOROz9FiTsfZBlczWDpH+AvOqOI+m2fUXze9f+Wax9ggB8jpI9CfdUGpJpthEMhtKkJKKEjZNXvZpa5AO2Xr+EJ9Lr0OevLCfrcTL/uL3R6O5CMTsIpI7mtMZK2TRbVYLCBuw1BFxXJk/4DQQwgfbMUccg5ZH7zV1Sz/8a403PZtPIYjg4fMQlRdLZ4KB2XyrjZufi9IZIyIn3w9tWVrH7rAADbvqwgbU0Vf1h0Ks+ujnzvY8wi/qDCre8FqWryctZEI6/9KZZTbmnlkmmpzFaHKUjT0Nbdd4ycFvc/lz7hkITXHcQcrf8fTx7ak8zYk8z//YED/OIYEMU/wdApg5AFNXed927PwCgxK5rbXj6N6ecOprvdS+bguMg4RxCAyIDn7UeOc8vIEsJ2ff8b62kHvRWUMIKrBXnms7ia38LTUov74+eJaamhqvRKHr18H2pNMxMvLubkEUm4qlyknK9QlQT9jVVF5LCKkDMeaO/ZarYZCIY7KM2ZR+uKFGJyZAwJIr6W3lVTOayw+ToXRb8zsPux3g4w/WKFW65e36eWzhYPh7c0YdNHY05TYS4L8frDX1Kxv5WMwljS8s2MnzWYtIw4XNVhdLEiWnNfU5GPX97VI4gButu9bPjo6M8iigNOma23u+k+KpFzrh5jvEjIoyCqFcSfyH/3a0dDOp3SbhqF14lX5pHtfgOvO8joEQvZsv1VGhv2MH0s7PhvyrFFKaTU72X78zf3bNv/8MVMuOMtdjx5JSP/cA8ro6Pxp9XiVl9F8IRPJUCnTktC7imIoUD/gt1tYLQRFyvx7boqbnxhDn+/+Sta6x1kFMZx76KPeg49dfEQbll6Ko5OLxmFdmp315GflEbRwpGsX3EIvzeEKArM++NoXN0B2ppcLLhpHAFviLXvHqL6cDsBfxiVWuTorib2bKpFVImUTRhE3tAfhwIb4JeETq9h1MnZDJdk3t3g7RHE37Nys4+tzyai72pnyYQwr2zXMO6isRzeVo8Ujhwbl2yO/KWY+csVq6jY3wqAKArc8s7ZGAuTue/5EJf87VzWPbeexoouJi4aTWeUnZC7geKxqVj93Zw/PZv590dcDUx6AVlTSelpVYgCTJdzSTi2nyYP6KPMCE39VyoI+UFQIcgqhPg8pNX39+xSjq9DSCvDmlaCOO5UhLxZoNbi1lsxvnMZ/CCvcH325ZzzgIE3rrMQrfKQnzuFxqaDjCs5AxSZcFBCs/8VDMf3UDDvor6CGBCKTkP4FQtigHBXEIPZiD/gjJhOnxC+StCHYjAj+QUQPKi0vflIdQq0EiAjINGkUyFDT/5htTFA0GWguNjL5s1qpk4NgdoKKAhSB4I9G6VxL8JPiGJregGH3n+agKsLnXlg9WiAfz+CICCkDkVMHUqb30u8bxtCu5/01bfw0EUrqWqu6neOs2ofydIBghedzwHNPYjoeM62gEC4CIu6AenkO1C9eRFKdCq4WvtX6ukAgxVBljgnSUF+MYNFf5chpAfHBO4+9SuGTBjE83d83XPKlDML+hVTd6SdsRoXEOmznr4qhnPvacPjj4zBD1Q5uPIMM589GMvTH3iobfBx2wUWzru/HZc3csyYwTpGF/507uEfc3R3E8sf38rhnY1MP28wpy0uIyW7/0h8gF8PA6L4J0jPt/PQ7z/rEcQAzZXd7N9Yy2lXDMXvDDJmZjZ6k5pgIERHSxup+RZAoWFnOcELylCrNCD1BqYSh5yDcuRLxCHn4m4oZ1dnNtlxMSgngqd07viSIRMuIynDSlO1g69f3AcvwhkLR6A9HENJWh4h4SxalQ96ykwVfo86ajxvvNm7Ki2KAje/MJHYRA9tH6ZxfI0WIRwm6VMJaadI458iOl5nExj2NwXzYCcFnSaa1ocpuFSHOrGLgL9/5vHumjArJ3Ux/VUL6VPiuPv1M3B6Kjhc9Q5tnYcpyPw7X57dTdtOmcRxasY8FEVcWcTsUJJkqg619Suz5kh7v23/CsIeBXeNjOSDo6/3+p9Ysn8d0VT/t0SrE7GF/oqDN3HtnsAfpuxFkhTuf/8sxo0wsPfwO5Q4qjknNo/3OppZIbRw7W1jeOPW3oiRlhgDIycnUPXh0/3Kb/xmJWN/fz/q9kry3l2A40/vsC+qN+K6Rk7k8B4jDbYljI4DRDXIve+YWHYOSt0uBHsm93w8BanRQ9m2OXQ1K1wzdSUAI6anMnPRIHzuMB6XH41WxcwFJfg9ITRNjejGDOMvn86jpd6FSi2y5s0DHN3VxOyLSln+xDaSMqxc9eh0YhKi6G710lDRxZWTX8N/wlxbb9Tw3NcXUTgiuaddiqJQX95FW6OTmIQo0nJjUKkG/IL+06hUIrGW/iv9WrWAEAywZNrrhIISw07ORU4r4KEPzqOzyYXBpCWnNJ7Gqm6O72nuEcQQyW/95t3rWfLu2Uy81EV9t5F5/ziNaLVMW7uRbEc39136MZKkMLSmm9CcXsHz6t0txA6ZRz2RlVqrNAUl5WaMnZ10uAcRLL4D7QdX9a4WCwKCMQZ3zjw+X+FhXlb/QSiHviRl3HNIR75ETCqkXRNDW8BJxul/Qb9rOUgSFTlX8of3C9GoBAZnWDBueYiZQ84iOOka7IKRcO1mdDFZDLngBtq6WpFjrCjucxG+WxFpRvZkxGEX/AufzC8PSVEQOkKY0/T4fA60uh98A0JegqIZtUEhHPCh0vQOlLVymDBhNEqIqLBCk15Fij/yrdYYA2zvSOdFz2ysngpuDqxHpxMQtEkovmqE2Azkut2IBaf0a49KrcWWWUzznq9Jn3jWz379AwzwX5GsNyILhUj6WoRBw8l+dxHy6MUc/PD5PsfZB2WjShyDpspPYsofCWlrEAIqRMPbpIpXUR7MQjfhTTItNkRnE/Qb/56NcmQVvinXoKidVGjORyGyX28ZzX3vL2XJ+Hf71Ll+5REuv2cy61f2TecYbYosbJw+zkB1U6hHEH/PK5+7mT81HgXQWoy4D1ew+rE8DteEMOlFhmRryEn570VxQ2UX157yJt3tkUWj1x76hurD7dz9+lwMpv+ZqB7g/z8GRPFPIAjQWuvst93V5ccQ4+WZ6zZRsa+d/GHxXL00lZrGg9iiU5DlMMGQj1rU2K7ciKXiawzbnkcsnA2xmYjxBcjl62lLHIpRLyKGPD1li2otu7+qZ86iMtwOP1WH2hgzvgBLfQpCsxq1XEVYUMgW7yCsOFAL0XjkYyhqA/MfLGHSwcEoPolJC0K0GB7EqW4gIeYSBOlk3CkWzm/fhpAFK9aPI7Fcg3rsZpq1D9ApdhJ97+9I98/lrTdOxbfJzdwr7+LNR3vNXwwmDXZNLJWdCusucTL7EyuxqUHeeO5SHM4mTh76ADt/b8HXFplEaN4SZs0FTs5YG40pWYVKJXLaJUNJiI9hxJB8kFQ0OloomPTz+BQb4kXyLtCz/2++Pttjin+7r3uyuog617XUbqlAkhRGz8hi12oX9RWFnP77ZZgDBh4fJHJDagEqRSYxtp2cpHGsWtFKal4sI07NZ0nwGLea+psEiWo1drEb9+DJyIdKsPz9RoYteAqX1YGgsaEOZdM2YQ1uy0qOytPJvXgFwuoHULprEUvPQkguRbC34g83UK2+gcSka4mrb6OWEIIocPdbo0jOD9LedQjR7ybenoMqnIxWZ8LZrkYKagm53XQLeu69aBlmm57Ft00gYUQ2nWEd8/6SiiXQjbPVRWeTG78vRFujmysenE7FgRY+eXkPfm+IL5fvZ8/mWpIzo8krS6TiQCt3nf8BPk8InV7NrS+eyvTzigYCZvwCKM7UMDxXw3fHewdety6w4ixvIhiIiBe/N4RP0LG1Ws34CfkMKzCwZtleHv79pyy6dUK/MtvqnBw/EmbcRCvbzO2slSSWNlXwXuxUNr50AEmKDL48zgAxhsjALC9VTVLOCjwnBHFy1wPs2XQAd/xu1GotXqOfziBkXrEWS8NezM4GVHE5OBwCjuKZ1G+vIzh2OBqW9WmLkjGKsEHHth0HCTo2UnD65cSmZVPbrWCa9izrDpu4+0Uf2UkiX94fpED4AjGxiGifj4c+WsDlF73LsZCXqu0vUVWzHVmWuOR3n1B81jMw6ToEGQR7NoIh+md5Pr8UnOEQui4JQ4kOn6+lNx0TQMhHMGxEY5IIBr1odd+vmMsIih+dYMIjOUkIWqg2qHtEcUgf4kVnCedlfcebgSF8uP0o8yY1gSYBxV+FGDcd+ejSf+pXHJM7lLqtnw+I4gF+EYi6JIibCrMykLcsY5C6G/+0eVRt+ACV3kDJKedjKBjJge4aGpsa0HXYUatTqK7diSKnED9Fg67gGwyZZTQHtMT6nOjmv4q84xWUpv2IJWdCXC7Hc2dizhpMverqHkEM4Fdvxx/qwu/tn91Eb+krPpMyoikpsvDBfdGEXT46Av2DqRp0AigCa771YzMK3HRSDEPz9YzM/99F1q861N4jiL9nw4dHaarqJmsgYOevlt+uSvgvkGWFWReV8uqfN/XZPmRSCk9fsZmKfe0IApxzYyLvfbqEGdNuoqOzmu3fLgcgGPRw2qx7MFuSsZ39POn7P0Dc/xFy3U66Chbx9pFsFkzpRqjrFd7xYxex9LkGqo/sJzHdyoU3jSPaGY+nRk/UKSJ+ummRV9LCSgQ0PZ1KpuUaTpOPQSEsH2zkWNTCnn2elFtIvcHH9qrZOE5EUH3UdYRnRotU6Ofzvdl3i+4uBEXEaLDR2HyQtLxNXPnYyax/p5nklBimTRlGcHMUU77tQjB68Pgh1NGCw9kEQJS/gKa2vp2Tp0HGVSNhSo6s6Iwck4fyYRqNj0YGFlEp0eQv/Hl8LkSVwODfGwh5ZY6+EUAfKzL2EVPPyvVvkfqgj4uPfstdejuCANPOGcxDv/sUgJ1rawAYPSOTB15OQ6/sRXGtYGrmHtJf2YqjI4WLu7dT4fRw/bjTEbd9gXxiFljU6Bg0ehZK6xYOam3smfEA0zuOYPn2OzrSRhLSjIJB9+O0REygvWIF7TkrKdW/S9Txj5HbyuGrR1CMUTgXnI9VHEZAtwNv0kkkayu46M4S4nM9bNmxjMNH12I02AiGvJx75pNs2f4eOVnjqGvdQ1nCXAz2HG5pvBg7ISS/ngefk6huctHQHubquTasR2v5+rXvWHTbBL5ctp+uVg8jpmVw0+un0qQJkx5rJlTh4b1nd4IgMO6UbAaPTOKka6fTLhtpUgkcKPdRVvDbtDj4JZEcq+atu+JZv8fP4doQk0p0jCvWs/uLSMDB3OHJ2M6YyrUfnbBIWNnGZ3eaeeGu9SgKGEzaHt/175m5sJS4EhU3Ve3m/owiLjgScShwG3xIwV6fdWenn/OH6njpcw8pcQIq4wFswVnEdF7DqjVPYDLaEEUVm7e+TFt7OZIUwmJJ5KzTHuZIyxEGmxJwe2N46bpvmblsKntJYHj6GISabQAo1mQcY/M4LlyGfejpHH3rVXb+/VbGXXM3hZnRoKrkwpy1nHLrIEzKMUyBjQitl6AoKkRNDKGQj+a2Q6hVGiqqtvS0O+xqQaWbBCnDf+an88vBIYXQdksYrFoc/m60mh+kZgv58fkNaIwyfp8PwwlzZm9Axh1MRadvxCM7iQ9IVBvUjO+KuH5sNUWTIvnIt7RRoK5h2cFi5k1qQtAmIDu/gbhYUGtROioR7Nn92mTPH0HF6tcJ+dxoDFH99g8wwL8bUZ+O06JniyUTTcBJ0uhxTJ64EDFUh2HHC6w/KrPqq8d6jj/l5FsZlDacz764l9b2CubMuIudxz/EHptFd9YEZFnGkz+DnGHnYw124C4ZRv3RJApUfoJif8uYqNQOisbGc3Brr/WOwaQhfmQcdy+bS0ejC2uMkc4WNxt3dHPzZyFe+6OJRLWXQfEqalt7++db5lt4/pNIdoAPvvFxzWwLG7d2EB9vICfDQDCkYNT/9xPbOn1/aySNVoVaOxCP5NfMgCj+CbpbvZSelM25/hCfLv0OS4yBC24ciylG4dD2Vk5eUMyYm8vQONaR7R+HVmPAaklk/JhLADAZY9i45QXOO/MJapr2Iuedgz3NRWtpNAfcWZxfIFFW8zjNSaeQPv0S/Ops1n4pU30kIk68riDVR9qZODWB9Bw9397vZfj4bCJeTXKP6DWHZ/BxV5igIqMWBGJ15fjoO9vWan4Oh70M6iL/N8s+3KqDfC+Ie65Z/yITT3qG2td2I2nqiS/YyfWPn8nRO9KgXibrpXU06m8kRBdGaRhpoafQag0Egz7Q912RhYjblsbSO0vu3C/Q+FVvx+VpUDi0NID9b1pUmn+9n68lXcX4x8yUXWdCpQdjwm+7IzvuddEVDuMpMbLwpnG0nQiS8UO+XVeDK3QqBksA2bUTkNntaUZrsFHRGrFquEYK8Oj1z2Er34tVraU2s4hdSVlUWGyUGizccmwXKnUqsSlZpGoMPGNqpTXq4z71hGijw15PUD8ekzOF0KhiPPFqvFHd1MuvYBFKkQ0hTLYzGXdWA25PG4IgMmfmnTicTUSZYmlpPcr0KVez9KUzmT3zDt5+7ypOnn4joZTR/MkfZomcynmDOqlpayduWhrf1ouMmDOcohF2uutdXPSn8bz3/E6Kritmd64anail0GilI0HN8Kwydvx1H3+9aS1/3notFz7aRWt3ZAKrYJCGpdeKtHXLZKeoGZKt+/FtHODfRFaShqykvhNd+cOSiEuOYuT8kVz/RV83kDXfent8i79Yto8lD09n5d930d7kYtb5OUyclcye2mYqNB4q/B5sag33eNMp/+tepp5XxPp39xOTYOKsK0ewfMmbfPjauTQafPgcT2Oq30tj4DCHj67hgvOWIkkhcrLGU1p8KsGghw2bl1JVs42jx78GAXQGPbe/tZAval2UpxkxnHsvg5zfIEgyzngvleZHkQmQXJYMb0XaX7NlPUnWySj+IKIll3hhNYI6E0G+FmnDP2DEJTRKkU+6Wq1j9brH+1x/bGzGz/EYftG4pDDqrjB6q47mjm60368US2FQZPzdGowJAWRfGFmlZ239UI45UjCIPhRBZmrKcuIDEtttkd+5rMBGVTxTHRHLgBH2el5rnURIEtGoYyDUDkoIIaEApXor/IQo1hiiiM4soW7bZ2RNnfdvuxcDDPBf0dC0jy/WPQrALKONr48vY9zsO4kefQmrly8CIDd7Evm5U+h2NGIy2pg98w4++ux2qut2sGHzUgBSU4aQklRKYnweH+z9iNElt1DzgROz1c/hKh/22WfTpX29T91qo8zvntfz/n2D2PJxPdmlcZx9/0TWv7qfr16JZGWxxRlZdNsEAioTKhGavBpCDdU8eWEaB9tNVLdITBisITNW5taXImPS7CQ1Xx1UuPsNFxaTm5vnWTlSG2JUoY65440k2/+5BMoqjqd4TAoHtvWm57voT+NJHogk/atmQBT/iHAojNGspS1OhbBkEDdcnEtOUMfhbY0EPQo3vjUDcUoSW1qOc4pajdfbRVRUHCs/vY1QKPJD1Kj1zDnlDjo76zAZbBw8dASlKY8zUpaTU7sDMsbiLF3CW2GRU+NG8dSd71F9uNe/9uwrR3B4fzPhUjVfD3ehyFB1dwaZDy+jUX8jARoxh04hSbqLW+sjZs6yoiAr/QfoImYc4V4BPF5jRyX3N5lTyXbiYqO58Jqr8FnXoJIOEB0eRd5F6RhPr6JKfxnfC2mvahd13Mwlf1jHttpddMsO8q/xcfSvBuLOFJFPC2HMEQhnSUBk0Np1uH904OatIUIuBVXMzxP8StQImH9jKZj+GVZ15Dk8qq7lmZwU/C3+fseUjkvDHGNAME1FNWQDinsXWjGRFZ21TDTb2eRqpy4Y4HwCpGUW8VR2GXvdXaSHQrzd1c7StkbuG1TAn2oOUR/0cW1CDlrZhYgOmb71mQmg8hnpyoymVniWZNVC2qRPyFHdTru8ii42oDOlIMnxCKiIsQ3is1W9wYgy00dTXDgLgHDITyjsJxwOkNxdwXRdGav+sJGjO5tOHL2b068cSXw4m25VN4mDo1FkDaezrNUAACAASURBVItWncF5NTuQI+kEiVKpuSUtnzu7jrHw7iwunZbJsq/9tHb3xhY4Uhvi020+XvrMjSjCa3+yM3v0rztQ0f9PpOXG8NfVC9laLqN83ney7p0d8MBN41l6yxqqD7fzyv2bOHl+EWVnDKFLFcXqFVvRpWsZNMNAQJb5U2AQK876Eq87iLclyP3vzaOj3sFLd39N9rhkNsgVjAu0Edeppa6zCn/ARXxcHm53Gx9/fldPvUmJgxk3+hKamg9ji05h/8HPKCuZi1+1kxEZJ3N163GyBoXpyHjsx5eD8oPsUMbYZOSdnyBmTqbDMhZzh4jq0GcIUW6UmU/S5U1h+Zo5mKPiSE4swmpJpqu7DrVax9xTHyA5sehnu++/VLrDQYTuMAarDk9dJ/bYzMiOoBvUBvzdKqJSPQgaPSurJyAAs+M/RKvRc8SdwdqG+Vxp2kljYiTY1l5fAjoxTIw78s3KTPShrvWxtTaBSZlNoLahBJsQE4uQjnyJasTCn2xXYukkKlYvGxDFA/xi8Hh6o9fvPfAJ+blTqG0/SovWgKIo2KLTGJQ2jE+/vK/nuOSkEsaNXozyA5Ob+oa9lAyezbqNf6WsdC4B8RgHWv/CYONiDNIIkqSr0fvTCDok1HIcVuNgXIb1BNPWcc5Nt3Dq4lJEnR53WOgRxABdbV62flFB66g0jPoQ7Q4ZOSaN0JEmHJuOMaIsCb0rjfNeiYz51Cq48TwLVz8buS6nR+GOV7r58yXRXPNMJ00dEvdeHI0o/vT4MzYxinuXncXujTVUH26ndHwqJePSBtynfuUMiOIfUXGwDTQifrXMfqcTr9FEUodIOCxjGBRNo1nH+tYa5tZsIDZ3Cmq1jiNH1/YIYoBQ2E9dwz4K8qaBoiDIInt3tHPmXXMJj76Yae0uLojSMVlvpftYN+dfNxqPM0BzrZOkdCuhsETezcWEaKXo6TTqnleoWi7T+e0Yhi9fhWj14Nocz/FtMPvCTj7rbkEGjngyydfGE6TXBCUmfCsftEWCHk3Sx7EkNgGLJhuDeCfdynY6lNWASHL4LiTzTlqVyEwhanCoN1J41gq6hTZ+vLLsVW1DpQ1wRchAnEbH81cEGTlfzYPhaj5yNoETyg5beb1gNPlGM/ah/V+19NlatNZIh/TP/K8G+NdQYrJyakwSGxxt1DQ7aN/ZzswFJaxaHvnoxCSYuPLBqZjMkYkVwTIaLKMZ4nNzS81Grk7NpVsKst/rJE6j49GsUq6t3ENdwIdZpebWtAL+0VLNEY+T91OyqGpTk/NdiM83tzD9tmtosz7a0xaTMgSDEItkqEEVHE269gE8ykZSVIs5Jt0BRESoh2PoPPcRY8tg6wd9Z5ararbT7WwEIqtiACqVBrennYXxChf1COIIn73wLSNmBNly8BqS4odSlr+ELc54fhi/2C2FaQj4iNPoWOZtZMFJY3n+2f5+TjUtYRJsIsfqw1z7bCdpFpmSwl4zyHBIAkEY+Hj+h8gojCNsCWE2NvZEHIVIppwJZxURl2Dko5d2EZ1qwzZ6MBe9pNDpdPDC9eMJV9TwjMHMGlcnOeUKXndElW5ccYCsK7IpiInD7QhQtCiPPJ0Tz/GNtESnIsthdu/9gNNm3cO7K/um22lqPkRZ6Vys1mS+Wv8k9phMXO5WZCGFRLOPg1UO3mm2cJf5fLqEt3rOsyun0Lg6YlKt1hkZVDQS0Z+EtO0lOOtF6osvxRZzAb7uKMIBH3s7/87kCVcyuOBk0lKHct1Va+nqqsNgsBJnz0YUf3sThG3dXgQJtCY1Pp+j16c44CYgxUfiAYWdHAyMJiirmRi/CzHkB9FKvrWeDkVggyOZOKGBNq2KzxpzGWZsIuSJxMNQq8EudfDJvkFMymxCUNsh2AAxo8HTidJdhxCd1q9dsblDqVi7jPYjOwdyFg/wiyA+LgdBEFAUhcamA6hVWsbEZmFPyEWvt1BWOpfNW1/qc05j037Gj1ncb7usSLjcbRgM0YiCSEdnDYeFfzCqyE5Vs4mj2/ez90DEpSonexKjR1xAouFFvvmqHpXaR1N1E5UH2pi9qJTPX9vXU+7hnQ1cdIWKySMMxFtDXPCgnyeuzKbGmcTaeokhOi1/XqQl7A+SZhe4+Q0H/mDfsavLp6AS4cn3nFw2J4r0hH/uVpecGU1y5q877sIAfRkQxT+i/lgH1vxUZK+LM+vN+Bu8HG7rpvi8bKokP7VBH2NVChZB4cNP7+CcuY+yftOz/crx+yMf4PqGfWjMUxg5VWaDEGZxcwfNoQCdzeU8HD8YodvNQ7/7DK1OxeBRKbQ1uCjf38K100/jHX8t6wbvZMILdub70givd7PivkOkZyXge15C8sPNS1JwSiE2uTr5c7WPT/VvoXHvRNK1IHcOpX1fDm+nxRLSK+QkttJh/yO1rAEZYplJvvwaIV8Ccl0iDQVX97kGhRBh8zG0rvx+16cjmYZgZJDVFgrwh7oj3JtexEflvWJkj8fBP1qqeDCjhIRRakqWGDiw1IciQ8IYNUVX6KkOeNjp7uS1lhoy9SYWJ2YwxBTNUZ+LOr+XJJ2eQqMF3W9wQPevJF6r52+5Q9njdoCrm3vv2kLZxEFcfs9kwiGZ9IJYikan9jsv2xDFJ8UTWNtexxXx6SQYjDikMLdW7acuEJkIcklh7qg+wH0ZRbSHgsQGfKiOibx473qaqrqxDxrJ6HkvETB9R5QmF4PWwk7duSi6MHolkyTl7xjlEQSFKrJVtyMrPgRBh0+pQrFH4ehqRJKC/drm9zsZUnIGtfW7yMuZTEdHNbEx6ciSG51e3SeKuiQpOFzNeH1dVNSso7XjADPnvstDPyrTK0kYT7xrTSY/c0bb2FPet+6idC0ffRMJwFHZFKahNUhhroTfE2Ln2kpW/v07SsalMX5OLnlDkwbE8X+AnBQNK++LZ/Gj7dS1SuSmqnn5JjtZWXpEYyFP7LbT5pA5+GaY7ydhqltkNpbbOedkL+OdFvxyF3qjhvOuHoU5Vo/SLhHOBHtSFGqLlihPC59vXsqMaTcTCvvRaAy4PR0EAu5+7dHrLNQ37iUU8jNqxPk0NO/FbDNT7RL5R+4wiswtaFQx2IRb8Sk1mCnF3F1IR+J2ki4ag81mwbz3ZaTj65DGXMk2o515xzZEWq6G+03xTCs3kD/iHMxJWQBYLYlYLb/tNGNNjU5EmwYBAa+vC/33ojjowedJQGeVcLrD7PEMZ3rybkTZBaIBlcFHbMF+Tvbv4/0NVzJf/Tm7LLnUh8ycZj1KoxKPFFKh0kikGzvY1nhC+GpsKIEGBLOIkDIU+fAqVGMv69cuQRRJGzOHA+/+hSl3vdVv/wAD/LtJTipm8YWv897KG3G6WjCb7GQll7J+ywssmPcara17CQY9/c5TZJmm5kM9/xuNNiQpTEb6KHw+B/6Am7PPeIzyys10+neQEI6murY3AWR5xUYy86bzvs2JaZIR+eMW6va2sPiRKTgrnCQOiiboD7PimR2MmplOyHkXNZVrKJzxMI9dNo7H3nEwd7yRyWUG8uIhXNtAY0UHbXU6TJr+adGMOgFJBrNWQP1PVokH+O0yIIp/gKIoeD1BDIEw5W8c5v0ntwNw5q1jaGhvxWrVsa67lT/aYonOmoQm8yRavE5Ki0/jwKEv+pQ1dMjZaHXRbE8ZjzYcxdB4I7Pae2e8fLKEyqDG6YiYlQYDEns21fbsP9jexfP6FgCO+dys17Sy0CnS2eqgzDYEtx+iB0PV+qU8NfYCGmuLCVcI8J2R7Y+ko9YLJC/28/HXm9i29jhDJw/ihlWtdCpreuroYBUW3zQa75mKeXYLQr4eftRHqAQdUcJgLIEFOHWRQGICauIDj7O4rr7nuCiVmu2uTn7Mqs4Wbk8rJCpOw4i7TOQt1CEFwJ8V4iVnJa7WEA/V9aaUerO1ljcLR3P2wa1IKAjAU9llXJKYgXZAGP8/kag1cEqMAe94G7e+MIdnb/6Kfd/UMevCUk5dPOSfmhEVmCwUmIrwdrVxcNOHyGNmUR3oG5Uxz2AmXqPnleZqBgVTsDQ56Tjht7z0xp08fxPYkxN4YlsyB+3ze87zC1V08CA67yPYzJ1USY8SxoVCkGhhPDGprYhyMdlZE6io3NxznskYQ5w9G53OhNvdAShIUoid371FZt50hs7MZNtHx3uOHzs7jWbHZz3/u9yt6EItZOlNVPp7P/RTTXZeb4349uu8CpNyJI5NNvL+Ji9qFVw0I4oD1UFCJ/R2booab3MnQb+J7asqWPG3nYw9JYeNHx1lx5pK5l83hvFzctEbfrtB3v5TTCkzsPXZJDqcMnFWkXhb5HNnNoq0OhQO1fT1OdZrBTYfDDKlW8Xd8j7eHVLC7+6bwusPf9MThTS9yM71b5xKeU0nksXPuAXL+Fi0cLFeJNaWhsPVQknRHPYd+KSnXK3WREJ8LrIcJvOMUchCmBHTRhClGk6zoiOm9iuCpatollchoEZLPM28R4nhRZTsLFRGK3IoQGPeTMzjlvBnycBXzZXcmT6YeLWWtOYawm8/TmX5HkIdDYz6w+OoNAO+7gDNjS5UNi2BoBtRUKE6YVVC0IO7OwF9osTOpjySDG1EqT0QdCEao4gr2oOnLR5Hh4rhSet5/bPrEJCZm74dtU9EbQgS9OgxRHsosHeytXMoQUlEq7Yje/YAIKaPQtryd8SRFyKo+z+PxLIp1O/4koadq0gZOfPfeVsGGKAfarWWIcWnk5E2kkDQS7Q1Ca3WyGhFZuOWlxkz5AZKS/exd29vWlCt1kRsUhFTJi5h/8HPSYjPIy9nEoePrWPKhD9Q37APAfjg45uRTgTn3L5zGecveI23li/qmewuP/Q5tqwZ7LF5iTrbRujrevbsb0RW4K37NxKTYOLqx08iY2Ijre2x7N7fQXfnAbIkC1ekGdF3G9ix7AD2hUXs2VjL8GkZRJm1XJ+t5rIXZHwnolSPHayjtjXS79+/OJqUuAEJNEBfBt6IHyAIAnqDmlCHq0cQA2Sfm8lxt5tou5aDXieBpCzeCYbxhjwEV99LYcHJzDv7adZvWgrITBx7OVZrGis1MTQrbiqkLg6bvfADzXhB3CBaNzXja/Vijtbj6u71uUzNsbHH4ocfLFBVhryULBiBeNxI3WuRPMPpN1Tw9nevsvPIK1w2Yz3Vm1I4WOlj2M1G9vzFS/lDWk5dOIPFV08ldayPKvquBAM4olaReMbZ/PX+7SxKvxJf1nU9+9RYsQqjiIqOA8e9uD3zCQkdGIRMLq3spC7Ye0HtoQCjLTG82lLdp/xTYhIxqU4Ef9ELxAyOiIOn66s45nOztqulz/FeWWKbswNBAJSI0fb1FXsZb7VTYrL+zx7kAP8lxigdp186jNEzsgkGJBLSLGh1/31X4O1ooLkuhcrj5djHa2kP9b6gCxIG8fvj31GoM9PwRiVbtzUz5exCVr95AIhE+e1ocqOyNvcr1yVsItvcAeSRxlUoogcJL7XyUuziYp5y67n2lD+T+N1yDhz5jNSUoQzOn47P20V9wz6qa7bjcrfjcrcye8Zt7Di8mlnPLcaWYOLYlkYmnZVDdM5uvtm7uk+9tZ0mph3J55oJYd7nGGe7Y3E1e9AIAkuSc+hc04qns4niZg/zrisjyqLheLuK656L+CjFRYs8cokZ754GENJ4+6ltTDyjgKW3reup44557/P0qgUUj0lh/9YGdqypICHNysiTMsksjPu/eXwD/C9IjFGTGNN3W6xFxTNXx3Dq7a09g6U5ow3sqwyiVoFZK+L2hDmUKtG9v6VPWo6ag+3s2dtE6ewMBHM0V1Qexiu3M9gWTXTNDgbnn0x25ljMpjgOHllFfHweZSVn8MZbl6NSaxk25GyGTRiD17wetyJQFjUKe1kuB7gTAIUwASJuAW6xjm8OfUdG1gTOlu14Vak8by9iRfUBfLKEFAwwaN27dH/xSk/7Gr9bQ8DZgTE2mQGgvcmFNlqDx9uJ3mDp2S55PHgdVsy5To5Uj2R80lEIt4NKT0zBUXydMQS6YtEKAYz6KqYUbSSsC5CU+i3yrrFo9AFCbgOGaA+DEoNoGr3sa7IzItkDoRZAgah4BNsg5ENfoCqd269tokpN3uxL+fbF27BlD8EY89te1R/gl4HV2nd1NTN9FBq1juaWQ+SO/yOW6DT273kPW3w+yeOuZHpLB9eULGTcsAtJUMK0VW4gMT6f9z+8iZSUUrQ6U48gBpCkIAcrv2H8qQ+x8aMbAEjMnkStKDLBHItohpzXZtKyux1fVmQyqbPFQ8XhOpIufYTM5CXwORgNdr79JMxHL25AFAVOXTyEuBQLzTUOnvzjKtIL7Fz1yDQ+vzOWwzVBTCYNIRm+ORTirVusTB46kGt4gP4MiOIfMXxqFjvXVTMoL5aT5hWhN6rRW/XsDTYT49Tzl6whtIWCvNpWxyW2WGQ5yPqNz5CTNYGTp12PLEvodFEc11pY0VZPWJG5Pa0QjxwmiEJ90MeiuAyKtVGseGENh3Y2ctk9k/n01b2U72th6Ph0Fj00lZNC3/Zrmy90nMQzAuQtHIU36ihvrzsfSQqi05nRZTg5+Y3B+NpktFaRpEkaqj8K4qyW2H+jjO3brUQJhXQpfdNMmYR8xAmvMnRODi8vaeWSp14gKn8HelUidmEmUWIhAIlWOzARgJAsc35iNVvKO5EBFQJPZJcx2RrHOfZU3muPrCAPi4pmUUJGP1/h7nCQl5qrGGOJRfxJP2KhT6oUCYXWoB8GRPG/lIS0/939dHqjeeq2Vai1Km7/cCa3COUEFRkBUCsCCjAMM4dXH6G5xsGok7KYdWEpG1YeIT7VzIW3TaBTrulXrlkYQr38LB3KenJUd9Ip78BPLSniIgKShEVUs8IhktR8BhNPX4Q6MRq/u4VY2Y/L1UZB/klI4SCKorB63RMUDLuAT10t5N1WgNAWi6iLRl3e973PyTuHtzYl8dEWL7Ffizx5dgrblu9gxLNjuEmVz4ftjVybmcjqv33DzAtKePnyN+ls8XDZn6fyxQOlNDQFMIU9VHy4jXBIornGSd6wRHaurex3fauW7yfgC3Hz3HdJL7AzY34RX79/mK6JHnRGLVIoTEqWjdjEnydF2QD9mVxmYNPTiazb5ccbUPjueID3Nni5fYGVoig3Bp+Khm4X9bt6J3FKxqYyekY2VoORI14XKpMWryyhQiBDo+Hrve+xa88KAGJjMsnLmUxh2TzEsJdZM27Hak0kOhWOGRaCDCXq12nT3oAPC2ZK6Va29mljOGgjM2MMVbY83G2ROBFxoop/VB1E0OhJdXSx5weCGCA6oxiN0cIAETrqXOhsOtyeDgz63v7O3WxAFxWkqtuIRgxjUzdDOIhpkA9BUPC1R/KQagQtYcKYBR/VGj3q1iT8BftR7ckj6I7kPdXpIDrsYPXBZEaktoKghnA3qG2IeScjbX8FMf8kBF3/9EvR6YWkjJjBxgcvZOpd76CzxPQ7ZoAB/pMIgkBaahn+7iSWP7+LlN9fyIzhF/F6Zwt/6mjGrtGRZVRjtt6GyvMQJlsmoZCPKZOuIjtrAh9/fme/MsPhAL6YSGT2+MRimtPGccTr4hRbIi82VxKv0TNlsp0stYlL7pyEs9NH+d5mpobS0JqMJCQWIyeW0XalkScWXYi/+whRVpEbpr1POCSjN2o47ZIyvK4QxzbuYdljW5AkBXO0HntSFJ3ufCrldOJn9o8OP8BvmwFR/CNiEqKIiTcy9ZxCuoJqWs2DmOE2Ua74WBBlolEIkmuI4o8pueRqdWSPv4KVH91MeeVmyis3o1JpOX3xezzc3sZpsUk8WHuETY52RpltXGbLoMrl4Y7ayOrZy4+Po+yjeuSwwi3Pz0FSq6gQgyzVN3KumMry1l5z6lnmeNK6NOCKwZpnZlDxEK7M+gCvrxt7bCZxJ1I/aEwR/0VtlEDD10EqVgQouctJpfYOUlhElFCKW4mYcZuFIYjoqOIBpl/+Mi/f2kawdhqFJef9l/dII4pclJDOSHMMjQEfqToD+UYLWlFkae4wrkvNJSTL5BrM2LX9zcb0gooMvYlPOhr5Q3IOD9Qe7tlnVqmJUqmQfhDYSy+KpOoGIvz+p3G7xJ7AQ6sWruPBu0bhi1eTm2ij4UQ06/2Ch6mTU2l+3cFbT24jqyiO0y8dSuHIZLbvqMUx1sKZSRfjU/0DAA2xJIrncVy6HQWJY9JtFKte4YC0mHjxDPa44xCj1BQHzewpC2MoD/NyqJyHskuoCQUpKJzJsjcX97RREESK00eQHGXhQ7eDiS4zn56zlvwR6UyZ+yz62G66QoPYcDiPj7ZEur8Op4zHEse8h6cxvWELCmBTa4iNN1F5sI1lj23hpPlFRNuNDJ2Qyl9+9xYjpmXi0qrYtb6G8n0tDB6dyoz5Jbz99HZ+jMGs5Y1HtpCUEc1J5w3m5fs2IssKghBJ8SDLCvEpZsackktq9kC6h38XZTk67FYV2w4FEAX43Rwzowp1tJX7eeB4IkPzbOydnUPF/lYmnJaHxabn5fs2oCgwek4++c8Nx67W8nFyEke/fYOSwXPYdzCS+7ujs4qwFCRz+EIO+MJ02UuYn9xOpXYJEInn0C6vxql8CwjkqR7EK5UTpA0Ag3QBe725OJJ1LKkvB2BklI2hUdF0ag0cfPcJTBPPJKF0Ii37IhM+GoOZIQtvG8h9+wMcdS4ssXrc7kb0ut5JJ0ezHWNckM0dWaToGyHciWgwYU47hqMym14/IgEdBgg5cKuNqJoTkaI7UQ8+QrAqq6e8VEMX39QkAXsQ1LEowWYEtQ2syQiJRUjfPI962o0/2ca0cachBX2svWMuE256CWta3s93QwYY4P+S1Ewb/go32xZvxnTDcC6ZkMN5yXFEaY7i18zGFD4Lk2U1sqqFYOx8xHCA9d8spahgBpU/yJcuCCLG7CmEoxIpnv8PDmqiub+zE70YCeK50RHJxPJ5ZxN/ziimrr6Tw2tquf7Zafg1T3DIk8iQ+W+yu9XBs67jfK5v56bgekZaz+aeN8+i7kg7WcXxvP/cTopGp6IzaJCkyHjS1e3H1e1nylmFfP3+YcYMiOIBfsSAKP4JZElh16Y6usZNY+UXYazxAreVlrDD3UpWjJnDXheH3A7mGODQ0TXMnnE7R46tw2i0UVJ8KjWmZPa3HeSkmMhs8wZnGyPNNr4NO7ivtTcgweP+Kkbsb2fOuUP5vfYoN6fl45UUioPRuMMhluYM46DLQZFsJXmNmZYPVIy43Yi9RItKqyd90Ih/eg2iRqBwsYGEkRqwuziIk2r5ScpU7+JkNyDjU6qpkZ+KXLOxnpe2XkJu2f/MhEsrqhgSFc2QqL6R+SxqDSPM//Vst16l4ta0Ambu38Q2Zwf3pRexzdVBnsHM/Pg03FKYBI2OllCAGLWWl/KGkzsw0PuPY082E2XV4XYEaK118uZla9HqVCy8aRxeg0zhFBN7/Q4uXJxD8pZGGsu7qDzYRmp+DC6Hn13ra0ibP4qHvbO5MHEGY6xB/MK3VEgPoPB9yi6FkBIRBsjJ3Fzu5c+ZOaicMsPjY9lrcXCzJQeXFGaDs50mMYbLz/4ru3a/i1ZrID93Kp9+fg8jZt33f9i77/goyvyB45+Z7S3JpvdGGiH00ItURVHwDhFRVOxnOe+sd/fzPHs5D08923nWU0+xd7GgFJHee09I78km29v8/lhMjAFBBFJ43q/XviCzuzPf2X12Zr7zNEbG92fv41uoPmCj+oCNpe/BBXedzp2r43G6249IWdkIBqMZnV7GEwxyc1IOpgYVYVY9zY1uvnx9Czc/OQW/XqK5wcWbj61s936NWiavMIHRU7P57qNdrSdhjVZF3+HJbF1exumzC3j9keUEg6HnFAVef2Q5c+8Yw1v/WkNCWoRIik+y5Bg1553W/jQYOTAeCdi4rIS8wkQmnZ9Pr75xPHfnIgAkCXKnDyG22cx/M/JZ+NblVJRvZPSIKxk/9gb2F60gMaWQluwzOKOqBq8S5AqjjEbvIRAMDcIVJY+nJPj0wS0q7AvcT5J8KUZy2NSSwNMVEpvtdTyWkMKV4Vb6hkUzPiadBKOFmKlXEt9vDO6mWowxyfh+04zf7cSSkIElIeMkfnpdn7PMQdKwRGzN1a2DjgVcQZwtkYT1cVFUkcb46G9ANmBJL8fTaCXg1bdbh1424gw0oVYScKtkdOWpKIXrcG/La31NbnQDH9QfvMDWWMFbCcZQKys5/0wCS54guO875F5jOsQoSRIZ42ehj4zn27vOI/fsq8g9+ypUWn2H1wpCZzGYtNz4yCS+eGMLn/91BYPHp/KbW5Jw+IM49j2CwxCPbcj1eOQ/U4QOzYZX2bjhLWxpwzjnzHvYsXshWp2ZqIEX8bxipL/PxxOOID/0K0zTGan0tnUjdAYDVPvcJIyMY8nLW3n7iXVcPOxFrtpXze8To8g1WaAFKrwu+g66mLf/vIOF83dgMGm48+XpzLi2kPlPrCRnQPvm4DkD4ind20BqjmiVIXQkkuJDcNm99JlSwK3fhDrkN9mD3PYPP+lx0fS5RkLWuRgREU1Jyfds3/k1e/Z+R3raUJps5bz59nWM+93XpOuNlLhDfdEKzVY8wQBlPxmcaJu3hXtvG85/lFKSdAb0soozrPG4lAASEKHWwsHfszsmiDwXtJajH8lWa5GJH6ElqKRiC1xJafBZGoMraWI5tp801TPISWQUnrx+aCPColg2YDxbHDYMssyFMamkGNpqg5cPnECV102MRkea3nTS4hIOLzHDyr1v/Ja/Xfg+dpsHg0nDbc+exasPf0/Jznpm3zsCzYhM1El6/rRgBvYiO5JORlbgz+PeAGDU926qxhi4ZEcNn/ZNRmd8jwAt7bajkSJRYWFJQyKS5OE7Wx0vVBXxWlZ/pjub8DRU4A4bjFmlJlGt4ttFjxEekYjD0cCHn96BoihUl61jlSGJXGuzOgAAIABJREFUsZNS4N8bWte99LU13HT7LB54q21wrTirCrdX4dUvHbx6yzC2eWxoPdC0to5bnpyCN0LFXquf66VSemttzLprBM9d+WXr+62xJvIGxaPRqlm/pJhrH5xA2b5GJFkiMT2CHWsrmH7VQGrKWtqNiA2hUbED/iBlexuoKWs+EV+b8AtJkkTuoASqSmzUV7YwbkZvqivayktmn1gWFWkZke9FDuyjojw0sNKyFS9gMkaSnNSfhF6ncWlDEwDhKg39zJFUNMcTb7mYSuVlWpQtWKR+uJVSAAI4KAk+Q6b8GBdud+IOBhltDuPANw8SXbGJCbP+TY4p1CxarTcSlT3wJH8q3ZOv3I01zkRFRTUJ8aEk1rbbhcHUwIGWeAySHYumDrXZiCGyjsbdHWda0Ep6mqnH4A/QrJKId5qRHCbo3dbCKS+pBU+dlv21RjLMkSjeirYxK9V6VIMvJLD0MSRrKlJk2iFjTeh/GhGpvdm38HX2ff06+TP+QPq481CpRd9HoWtIzLBy+R1jueAPw9AZNLjsXhY+3ojH5SdviIF4aSQbXbnY7LU0bvkACE2feKB0HRnpw8jMO5NvLWnMNUXwbMW+1vWqkLgmIZO/FG9ptz21JOEqC103b15WzoL9fYnSaNnrtpNkCLVCvCQmlfKvPexeX8OIM3sx84ahGEwatq0uZ86dYyjbWk/fEcns3ljFoHHpDBybxqt/X8ac2y45SZ+a0J2IpPgQEjKsbNxhR6MGrw+e/rCZ/7sogtqmABtWBEmdpKXG5yGgD12k+Pxu9uxbCkCkNZ1KReaSuHTuLN5KX2MYuQYLGaowrq/a2G47Z0UmoIo3cA059DKYSDmY/OnpOMqyPurYp3WRJTWp8vVosFIRnE+u6iG2B3biIzRgULR0NhZp0DGv/1hIknTImuYfJOuMosl0FzRiShavrL2KusoWImNNJGdFEpUdwcL5W6laVcu4rFgG9bFSEj4VXdSLvFLl4VxVLH3HpbJlcQnv3baUfuNT+d8dQ6lf5OO0cx5me/AagoTuEKfIv8MRrMbrfImHD3i4MSmLuw9sJ8dgRlu+nm37FmEMSyQjZQieYJB0cwy+mGx272o/iJY2PJl3asuY0ad98lCxv5E/FviIirLy1Ro3KbEqUmPVPPA/G6cX6nH7/YQX+dj93A4WLqng4n9P4hbrfmp9HgDOjkxgQV8Xl757Fi1La0hOszJsciapuaF5SyfO7MMt58wnKt5MMKjQWOPgyYVzSM+LZsfaCsKjDNjq2+Y01xs1rf3nI2LEzZ+uJHdQAp+8VEl5URMxfdrmmvW4/Zh1YNO7UCQ1RqMVpzN0LHU4G9i1ZxGFY//AC70KCMhBtJLMU+V7keLTsDnPYXRUOI2q98lVPYotsBYvocEGrYxld0sW7mANOknmKp3Eql1fMeG0G0lO7NsuNo/Hj9PmwRJpEFN+HUYwqECFm6gEA3v32TAaQuea5n0BTOFNLK8tIEFXjiQbCEs7gKsuFiXY8ZJIQsYgmVH5HbSo9cR7A2hqkvAPXYf/QD/UigqtBiIDjXywKolbphwg6NjWfiURKcj5Z+Nf8FfUM55C0h96PAeDNZaCmTdjK91F8eK32fbOY+ScfRW9Jl+ERtwcFroIo1mH2+nF5w0w6w9D2b+tlsZqB/HKXNSYWeSsY3xMLs3NoTEZgkE/+/Z/T6+Bs5kQHsMqeyOnW+P4XVwWNc1+kiUzNq8DdzDYuo0wlZoBkoWn//U5AHmjk9mqcnFNQiZvVZegl2TmxqUxwRqHP8XGzBuGUFHUyG3T5hMIKKTlRXHt5LOZ/+QqBoxMYfbNw6ktb8be5OGphReTO1AMbCd01GWTYkmSpgBPACrgBUVRHj5Z287Ij6b3rlqu0qp5+ks//gDc+2oT4/preehaDXvUGloCfr7XRJKXN4XinV8AIMtqzp7+CM3hqdQGPczL7M9+lx1jrYX5y4P8/dy+3FWyDXcwyChLFHem9Sb3JA2KYpCTyZRvJ1m5AhVGBkof4VB2o5bCsFCAXhajlQpHJynTSlJmWzPfoUNTKRySQkAJojk4bZYUuI4i/R9JN9zHbw+s5Q/39mb29my8e1tIz4xi7TNbWfz+TnhiMpOu/hiXVIRGicZXl0StbMEhKfw9Az5vqOJPSdlk1W5m8TvX8ttpf0dvGcS8ie9x6bMTKc9QkT7qOg4UL2+dHzY2oS/7IzKJdfmIMemJTwun6oANSYLf3jCEleYGclLM2JYE2LLKS3ldAJUMl5xp4k/l6zlHF0XmFbnM/sso5inF1NpCCXE/UzhRGh3Pu4pQ5yXz6Fnjide1b+I48LQ05n18AW8+tgK1RsWFNw+n38gUtDo1Y87J5f75Wu655EPqKu1YY4zMuX0kbzy6kgFjUsgRJ+kuJT41nHMuH0Tx9lqqPFomXzGEhS+toWxvA9ekeykPqHnW4+TxM+9n2fs3oBy8uzGw8CJMUdmkqLQsaarBIqu4V5PGNpefOysaSa0YxllRYxlkTGRoxP8wqYvRSAZ8zkQ21Th4NiWLAnMksY4qxty4hNjYLDTqtnK2e2MV/31wGVtWlDH23Fxm3jCEtIM3ZYQ21aU2/CYZVbAJoyECSVYRcCm4m1RYcz3sLUpmTMQXaCP8aMx27HuTDrsug2RB8rXQeHCqK5VXR6A4lebIciIbUgFIMzfw7e4kbplqBX8DKD6Q2qZik5IHI9lrCHx6B6rp/0DSGA67vfCUXPrO/hMtlUWUrviUnR8+Q/aZl5Fz1uVojGJAPqFzbV5eygv3LOHAznrOntufsy8bQP9Rod9Biq6KNU4nF4+6nsrSta1zGycnD8acMACpSUZyB9keaCHLYsK1IYLL/9fMnKkGHp8whMX+ClL0Bk7XR/Pfcz6hudFNbHIY5983mpWxHr6oreQ2KR2TX803uiYcgQCWZAMLHlnHpm9DA3mq1DKX/GM8M+zrufOFsTS8W8orDy5j9NnZTJ3bn8R00U1JODRJUZQjv+okkyRJBewGJgNlwBpgtqIo2w/1+sLCQmXt2o6jNf8ajbUOikodbKvSsGyHn9xULWP6etm/8x802crJmXQHd9dWkyMFGO1vQvbYyYzOZ29RLv9b6GLMcBUD+kls36Ew7yUX8++MYfwgPfvcdlyBAGk6I+Ea0Syqmzuqmd9PRPns6nxKI/XBb6n0r6bRPZ06TxxpunBy1SZKN9dTUdRIbHIY2f3jMIe3XfAHgwpejx+9QUNJUwWle5fw5YJ78AXcTJl8BwdWJfPsbW2f5bQrBnLTU2dQVLOTbRWbcUpqtuljeLKpkRczh9G7xUpyWJCyfY0YzFrScqNoVPnZUFMP1REsWuvB54dx+Sp6p/lpiZXZvr2ayoUVbHpzN2f9cTCGSXEUqVz0NoZR4nYSrtYw1BJJ1s9cnPq8ASQJ1JqOrT5qy5upKG7CZfey/LM9pPWOYdjpmST3Ou59nET5PE42r6mgwqmjsqQFOeAntzAcp0nNn+vX4wl6uMEgo2+pJNOazN6qbBJMMYwvNFDmceHwe4nQ7qWxVKJWE0+Jx0VCmAlZJVHv9RDlVjExM/kwI/G3V1ncxBUjXqKxpq05d//RKfzjo1lYIg6fZHVBJ7xsfv35Tm6/7VPOvtZMVfUusrLG0LTTj21rPU1R8FVFIZPivyBucAnuxkg8tp+/UK5Su6k1RjC1XgEJmsqi0J3+DZHluWjdZnY3RjJ/ez5rrp+PyfM2cuxFSLqU9itRFIJb3gd3C6qpDyBpj641lKOunJLvP6Zh70Z6Tb6IrDMuFVM4nVji2HkYe7dUc+Xwl9p1BfrN1YO46V9T0GhUeINBXq4q4p4D2/mzxYC1pYIwnZmkqP48+74Zp0Pi3FEGSqr9DBugITlCy8ptXr7d4CY/TcXkgS42rbsXtSqSWMNp6DTRJOUaCUYkUNXs5vMHV7P4pS0E/EEuf24yqdNS0WhUaBv82LfacDa50WdZuEm1h2KfCxl4zlTArke2MHZ6LmfM7nv4nes+jqp8Cr9cV60pHgrsVRRlP4AkSfOB6cAhk+ITwRpjonhHHW9e8To5A+LYZffx8YZKevXL4trHLiDKEMaruWlscjTRFPCRY7AQ7zFTU+Pn+ukWkmNUBINAdJClT4STl6pBkiSyDeIur9DzaSQr8aoZxMnnIunaJ4YRI5LpOyL5kO+TZQm9IVS7khqRSPKgWfTuNRqVrGbzkmaeve3tdq//9OWNzLltBL2z+xIwZLDN00SvgI/3IvqSSRi5eaGanejEtt9dAhqs0XFs3VtGdmUx5jA9WaYUcjKTkCQJ2d3Cv+9ajqKA0uDn7TM/ZcxfCtmW7ESvSPTLSiEr7ud/xxptx2T4BzFJYcQkhVqIDD8j62fXI3QN/YYk0g9we63UNPpZv8dHbXGApwYNoULdTKPfS1LcYHyVRoZmalqP9xkGE2CixNmbA0odLfV2ArvsvPX4ErL6x1FR1MjV94xH7nV01zgHdte3S4gBNi0rpXx/E3mDulVSfMJt2lCBnKinrqEYszk0J3hzUQCDvppFDaNI0pdgTrKDpOCxHbobz49FBfWUaPTUBYqIVsejViuwKxdb7l6i9vclM7wJj9HCh1+YmHN6DHhK4KdJsSQh9/0Nwa0f43//RtRn3oMUfvga6h+YopPoPf1aXA1VlK3+gi9vmURkr/6kjfktiUMmoxXTcAknSdG22g5jY3z80kYuum0kSZlWtAdnJ+ljCmePq4XohD701oZTfkDi7CFBtCow6mWG5OrJTAyd6zPjtVw48YfBVK1kJj6E292M2RSFVmtqndYzI0whbO4gonQ67DY3AzJi6WeJQWfQgBXe/aKCR2/8gjGX9eH+W/qzv9qGpTbAJ3cvRPIr/O6+8SfzoxK6oa6aFCcBpT/6uwwYdrKDSM2JQmdQs+qrtrlHt6+qprlUT+Gw0EV9mqF9P5+0mI5TEAnCqSrU6OPYybJMpDV0YSmr7B2eN1q0aHShw1hBlJkCjm6Ucr1BQ+H4DArHdxytt++IZP719Rzee2YtO9dXcPuzU2mosiPXSWT1iyMtTTRVPVXptTKpcVpS437cyudHCUnsod+XajQTGatmZ2klB5rsTL20P031Ts6c04/8oUdOilq3b+h4ylapJHT6rnoq7zw71lagSzFSX1dEfv4ZBL0KzqogmrgGip2pnJX0NmFpFdgOZHI0FS+aIGiDCuVSE+qACoPBhGtXLyyZJdgS9hNRkUWasYE3v09lxoR4DO4ipLBRHVckycgF01EOrMD/3u+RB81GLpiOdBQDahki48meMpfMCRdQt3sd+799k/Uv3UnCoAlkn3kZ0TmDj+GTEoSjpzdqOiwzhena3Qg2qNSMDo9mdHjbuTK94Oi3YTJaMRk7ttyQJImCYckUDDv0TfVJF/QhLNLAR8+vp/LFfZw+LYcabwv5900gZ2A8iRmi2bTw87rtmVSSpKuBqwFSU1NPyDai4s38/pFJ3DHrvdZliRkRooO+cEQno3yearL7x5IzIJ7dG6tal1330ETiUw89aM2x0mhVFI7PYPC4dIDWu9Q9iSifJ585XE/hhAwKJ2SgKMoxlauM/BhGTc3m+8/2tC6bc/tIkrN7zvQix6tsFq+qwnhdAkqNgkEfTvP+ALrwAMudI0jUlZA0sAhXfTQB99HXsJv9ftSmDKqbthFpCBC0jyK2JhFHfAlNiXvJq81gb3Iib36Qx2XTXgcUDplwSxJS+khU0VkEdyzAv+Et5KxxSCmDkOL7HHYgrh+otHriCkYRVzAKn7OFqi3fseKx6zDGJFMw8yZiC0b1yONWV3CqHztzBsTTqyCGfVtrW5dd//eJxCZ3fmuFiCgjp88uYNKsPsiyKP/CL9dV+xSPAO5WFOWMg3//BUBRlIcO9foT2a/D4/KxfU0FW1aUEhlnpv+oFFKyo07ItoRuR/Q7OsnKixrZuryMypIm+gxNIn9oEiaLaJ1xGKJ89kA1Zc1sWVFGye56cgbG02dYEhFR3W6k/hNaNkv3NnDh8Ocx3WEhzbafzIyRlH7hpd7n4mPbcGaOfR6zwYG9PP1oQwGgRq/DqVLRv6GWWn8J6uZkUiNjMMTYcEZWUevX8vY3VzF09XtcO+tLRpx5Bmjjjrxiey1K5WaUhiKUhhIwxyJnjkHOm4wUlnDk9wPBYICard9T8v3H6MKiyDvnGhKHTBZTOh0bcez8GeX7G9m8vJTqUhsFQ5PJH5aI0SzOwyeRyPhPkK5aU7wGyJYkKQMoBy4ALuyMQHQGDQPHpjFw7KHnFhQE4eRJyrCSJJpACaew2OQwJs7M7+wwurSlH+5E6WvGV7uH6PgcSsoNfF8dwx51FBMLP8Ksa8ZekcEvvbaM8HopsUaArCVOnU61sYoip42cQBTm+kR0WhdhJhuJVzfw1H/G4cpbydiCSah9R5hOyRyDlD0xFI0ShMYSgpWb8b97PVJMDnLBNKTUoUiqw1+yybKK+H5jiSsYTd2uNez8+FnWPv8XEgsnkdB/HDH5wzBYjyJBF4Qj+OkMFILQU3TJpFhRFL8kSTcAXxKakuklRVG2HeFtgiAIgiCcwvz+IO8/t47KqToS6mN4ccd4vJ4gqck7mVnwHjqnhL08HuRfPt6BNqgQ7vOxy2ImxuuhwZKH1ORgW/VOYk1WvOYElNhGPjkwi99f/Rwv3j2Q0vs+Yfw0P+E1AzA1ZaL2h2r1FSWIJB1ijmlJhsh05Mh0yDsTpXwjgbWvwaJ5SMkDkePzwZIAGkPotWotkiUByRhx8O0yMb2HEdN7GO6mWup2r2PvV6+x7oX/Q20wY83sS2RmP8JT8whLzsYUk4z8M8m2IAjCqaLLHgkVRfkc+Lyz4xAEQRAEoXt458nVBE1qam051NeOYkzBV/RKXYez2oyvPApP0AOqYx+pO93uYL/ZTINOS5jfT0N8NPamUfhs5eyODKeXajXrGs/jveyRnDf7PRbdO5T9CxqZct83mIe9gd8jY68L0lCqwmtXMLuSyFWNJSOsd8ckWaVBSh2CKnUIuJpQavcQrNwK+78HvxdFCULAB/ZasMQi509FzjsDSROa5k4fEUPy0CkkD52Coii4GippqdiPrXQXlRsW4agtw9vSiDEmibCkLCLS8rFm9MGa0RdDVILolywIwimlyybFgiAIgiAIR6Oh2s5/n1jOS+/WUpIzjATKmTDxDbyVMdSs641W2wxqL6j08CtGxdcEFXKbW1r/TpDd7A83sTc6mXSHi3BFS8C6krWrxvJRvwCTL5pPyXep/HPUTDTxPgjKeKu0yKogSkAioX8NpTO3kjriU4x6P4FGI94WFUG7AZU9FnVTOoGWaGTZj96kIyYunvj8eLSGCCQpCjmoR+XTQG0Jyv5l+Ne+ipw1AanXGKSYnNYEWZIkVKY4XDoLjdo8AnFBrL21xEW7kO3FOKv307Lre6pXfkRLQw0AYXHJhCf1wpKcgyEhF0NUPLqwKHRmKxqjBUk+RE33QYqigKcFHHUoHjsoSmheZlM0GCKQJAklGMTvceJ3O/C7nQR8HoJ+H6H5LAFZRlZrUGl0qHVG1AYTap2xdbuKzwXNlSgt1eBsQPE6IRgAWYWkMYAxEskSB5Z4JN0RmrALgnDK65IDbf1SkiTVAgeO0+qigbrjtK7uuH0Rw9Fvv05RlClHWtFxLp8/1tmfUWc6lfcdukf5hJ7/PYn9Oza/umzOuk0XY9xzfurqJSPZOajjqoy+RpROHI/GpWk/9/GYHc/jrgolqKYEB2pDAL9bhaOiayVrF0/4iLTYSjwBGb9y+KS3q5qaVI1GPvJ17c56xdX/Fd/2wzx9oo6dXfV40VXjgq4bW2fGdVTlU/jlekRSfDxJkrRWUZTCU3X7Ioausf2j0R1iPFFO5X2H7rP/3SXOYyX2r+vpyjF31di6alzQtWP7pbrqvnTVuKDrxtZV4xJ+ne53G1AQBEEQBEEQBEEQjhORFAuCIAiCIAiCIAinLJEUd/SfU3z7IGLoCts/Gt0hxhPlVN536D77313iPFZi/7qerhxzV42tq8YFXTu2X6qr7ktXjQu6bmxdNS7hVxB9igVBEARBEARBEIRTlqgpFgRBEARBEARBEE5ZIikWBEEQBEEQBEEQTlkiKRYEQRAEQRAEQRBOWT0iKZ4yZYoCiId4nOzHURHlUzw66XFURPkUj054HBVRNsWjkx5HRZRP8eikh3CC9IikuK6urrNDEITDEuVT6MpE+RS6KlE2ha5MlE9B6Fl6RFIsCIIgCIIgCIIgCMdCJMWCIAiCIAiCIAjCKUvd2QF0Vy5PkMUb3bz6tR2/X+Hi082M668jzNT2kTqaPZTta0CtUZGSHYlWJz5u4eRxOIMs2uTmta/tyBLMmWxmUHqQxhIbFque5KxIJEnq7DAFodurKGqiqdZBVKIZg9XE4o0eXvvajkYtccnpZsYP0KPTinvQ3U1ViY36Kjtui5Wv1ntZtNHNyAId00YaGZSt6+zwBEEQhOOoy2ZpkiTdBFxJqFP5FuAyRVHcnRtVm8Wb3Ey/s4ZgMPT3B8tcvHt3DOeODn2kpXvq+ccNC1izsAhZlpj5+yFc8qdRRMaZOzFq4VTyzUYXM+6qRTk4LMO7S53M/z8r8ya9hMGk4danz2TyrD5otF32MCAIXVowqPD9Z3u4b+5HtDS5iU2ycPFrV3LBfW19Dd9d6uTj+2OZMtTYiZEKv9Sahfu5a84HnH3jaD5qUvHN+tDlx7cb3CxY5eKtv8WQHq/p5CgFQRCE46VL3rqWJCkJuBEoVBSlAFABF3RuVO29s9jRmhD/4IXP7fj9QRRF4ZOXN7JmYREQunB664nVbPq+tBMiFU5Vr3xhb02IARQF3l3m4bRz83A5fNx/2cfs21LbeQEKQjdXsrueOy94j5amUMI08pxcXvjM3u41wSC8/52zM8ITjlH5/kbumPUejbVOYgb2ak2If7But5dtxb5Oik4QBEE4EbpkUnyQGjBIkqQGjEBFJ8dzRMrBDMRh87Dkg10dnt+yvOxkhyQIHUgHf/WKApXFTZ0bjCB0Y9WlNjxu/xFfFxSTaHQrteUtrTc6DkcR36lwCgqsfBGlvqizwxCEE6JLJsWKopQD84ASoBKwKYryVedG1d7McSbkn3x6V021oFbL6M1a+o9O6fCerH6xJyk6QYC5U8z8uMuwJMGMkToWv7+zdVl0gmjOLwjHKjLWjCy3/cg+f2k9cycb2r1GlmHGWNF0ujuxxhjR6UPdSuo27mfCQH275wdlaylIF91OhFOL4m4m8O51+D/5U2eHIggnRJdMiiVJsgLTgQwgETBJkjTnJ6+5WpKktZIkra2tPflNQMf11/PhvbHMPM3I9FEG3r07hgkDQwNvqNUy5/9+KHEpYa2vL5yQwcDT0k56nELn6OzyCTBxgIEP7o3hN6MN/HaMkffvjmbF0233li776xh69RU3ak5FXaF89gTpvaO46YkzWm8+BYKQorbx7t0xTBtpYOZpRj66L5YJA/Q/vyKhVVcomyk5Udz+77NQqSRe/euXXD3cyz2XhjN+gJ47Lgrn3zdFkZ6g7ZTYhM7VFcpnZ1Gqtof+rd/fyZEIwokhKV2wDZAkSTOBKYqiXHHw70uA4YqiXHeo1xcWFipr1649mSEelepSG8U769Dq1KTnR2ONNnV2SMLxdVRDN3eV8qkoCiW76inf34g11kR672gMJnFh14N1q/LZXXk9foq311Fb2UJ8SjhpvaNRq7vk/eaupMuXTZ83wIGddVSXNRObZCG9d7QYlPDU0eXLZ2cIrPsfwRXPo5RvRPNAA9JPm0sKJ4uYNuQE6apH+BJguCRJRsAFTAS63ZEnLiWcuJTwzg5DEACQJIm0vGjS8qI7OxRB6DG0OjU5A+PJGRjf2aEIx5FGqyKrXxxZ/eI6OxRB6BKUuv0QmQE1u8BRCxbx2xB6li6ZFCuKskqSpHeB9YAf2AD8p3Oj+nnNDj8rtnnZWuwj0iJTmKujb6aohRN6ljU73WzY68XtVejfS8uYvjpkcbdYEA6p3uZnxXYvu0p9xITLFObpyE8T54XurKbRz/JtHvaW+0mIUlGYqyU3RXynwimguRLJGIliikaxVSCJpFjoYbrs1ayiKHcpipKnKEqBoigXK4ri6eyYDmdXqZcPlrlYusWD16fw2td2Lnmolm3FXTZkQfjF1u50s2STmwPVAVqcCvMXOfh6XZeZOlwQupw3v3Vw7p01PPVhMxX1AT74zsmLn7ewbrc4N3RHfn+QFz63c97dtewu81Fc5eftxU4+We6kznbkUcgFoTtT7NVgiEAyRUNzl58QRhB+sS5ZU9ydlFT7uOXZRr5Y7Wpddsv5YXy4zMmGPT76pOs6MTpBOH6WbPbw5+fbpnAa2UdHaoyHMQV6jIYue39NEDrFtiIvd//XhizDTeeFc/tzDfgDoeeSolW8e3cMQ/LEAFzdyab9Ph56w8aFE03sLvXx0oK2OakfucbKzTNFdymhB7PXIRkiUIxWFJtIioWeR1zJ/kob93nbJcQAz3zUwoyxJuyuYCdFJQjH19YiD/e/3n5O4+XbPGg1Mk6vKOeC8FNOT5Ame5CJA/W8t9TRmhADlNcFWLpZ1BZ3N05PEJdHISdZw7Kt7b+/+15rYvM+8Z0KPZdirwVDBOgs4Kjv7HAE4bgTSfGv1OzoOHq3y6Og00DvNE0nRCQIx5/dpdDi7FjWTQaJ6HDR4EQQfio7WcOZwwxEhqmoagh0eL6mqeMyoWvLSlIzIl+Hz9/xWNjiVHB6ut5sHoJw3LgaQW9B0oehtFR3djSCcNyJpPhXyktVYzG2Hx19RL6O0/rrGdFbNJ0WeobsJA2TBrdv6mnQSfRNFzd+BOFQIswq7rk0nCiLxLSRxg7Pjy4Q54fuJiFSw2PXW0mLV2HQtT/vTxioJztJHA+FnklRFHA3g9YMhggUR11nhyQIx52o4vmVCnOKq8aHAAAgAElEQVT1vHNXDH97uYltxT6mDjfwhxlhDOst+ooJPUdUuIoHrrASFdbMZyud5KVquHduBKP6Gjo7NEHosgbl6OmdpmVHiRedRuI/n7UQbpL565xwxvQVSXF3VJirp3eqlqRoNXe/0sSOktB5/+aZ4USFqzo7PEE4MbwOUGmQVBoUfVhoSiZB6GFEUnwcTBpspH+mhrpmhdRYNSYx6JDQAw3O0fHCzVEU14QTaZGIixS1IoJwJAadzKBsPYOy9Vx6hgmdRiI1Tvx2ujOTQeaMIUYG9NLQ0KKQHqfGoBfnfaEHczWF+hIDki6MoF3UFAs9j0iKj5MYq4YYa2dHIQgnlsEg01vMsyoIxyQ7Wfx2epK4SA1xkZ0dhSCceIrL1poUo7OEkmRB6GFEUnwCVRQ1smFpCQd21tFvVAp9RyQTHtWxb5kgnEz7t9awbnExTfUuhkxIJ39oElqdOBQIwvHgcfnYtrqcdYuKscaaGDwunYz8mM4OSziMvVuqWbeoGHuTm8IJGfQemohWK46HgtCOuwl05tD/9RZw2zo3HkE4AcSR/wSpq2zhzgvfZ/vqtrncrr53HJf8eRQqlWhmJXSO/dtquW7Cq9jqQ9OIvXTvUuZ9fAGjpmZ3cmSC0DOs/HIff57xTuvf1lgTzyy6hPS86E6MSjiUvVuquW7cq7Q0uQF48d6l/PPzCxl+eq9OjkwQuhiXDUlrCv1fawKPHSUYRJLF9azQc4jSfILs21rTLiEGeOWB76jYL5qcCJ1n8/LS1oT4B8/ftQhHs5hfUxB+reZGF/++49t2yxprHGxfXd5JEQk/Z/3iA60JMYCiwMv3LcXt9HViVILQ9SieFtCEBtaUZBVojaK2WOhxRFJ8gnjd/g7LfN4Afp+Ym1LoPC67t8Oy5kaPKJeCcBz4fUHsto43mFwOkWR1RYe6GWhrcIvjoSD81I+SYgB0YaF5iwWhBxHNp4+TjXs97CzxYTbK9M/UkNE7hjCrnubGtrvQE87LJyEjohOjFE51fUckI8sSwaDSuuzCW4Yfsa+7xxtk3W4v+yv9JEWrGJilIcIiDh+C8GORsSZm3zycJ29b2LrMEqGn/6QsFq5zUdUYoFeCmsHZWrRacU+6sw0el4YkhWqIf3DhLcMxhx95SkWvN8i6PV72VfpJiFQxoJeGqHBxTBR6KHczaH70u9CZUVw2pMO/QxC6HXEEP0bLtrhYssmDxxdkZB89//dCI5v3h2oDzhqmZ97vInniqzm88egKdqytZPKsfKbOHYDeIKbiEE6OrUUelm/1sLPUx6BsLSML9OQVJvLElxfxygPfUV/tYNYfhnLa9Lwjrmv+IgfX/LMe/8EKlDsuCuem8ywiMRaEnzjjor7oDBreeWoNc+ZNp8xn5umvfMREeFi908OXa1y8dFs0syeaOzvUU17vIUk8/kXoeNhU52L2TcMYMy33kK/dXepl+TYPm/Z56ZepJSFKxW/+VoPvYKOwW2eFcev5YUSLxFjogRR3C6jbJ8Wi+bTQ04ij9zFYutnFtDtqsLtCt5dVcjOPXGPl1n83oijw+So3s8Z7uWhSAne+PA2X3YfFqkeSxD014eQ4UOXjj081sHhTW/PAa6eZefiqSAonZFAwIhmfN4DlKGpENu7zcPMzja0JMcAD/7MxboCe8QPFIUQQfiwqzsyMawvpe1YBlz3awKrtDa3PXXOOhZxkDTc900C/TC19MsQUTZ1Jo1UxdFIm/UYm4/cFD1tDXG8LcP/rNt74xtG67KxhBiYNMrBgdWiMhnlvNTNxoIHJheKYKPRAbhuStq1FmaQ1gkskxULPItpvHYMFq1zYXQpRYTJxVhWBYGjZyD661teU1YZuH2u0asIiDSIhFk6qLUU+Fm/ykBStIswUKnv/+dTO5v2hPsV6g+aoEmKA2sYgNkeww/KKetHvThAOZ1tpgDU7vaTEqjDqQ7/Bl79oYfooI3W2ILU28fvpKvRG7c82md5S5G1NiCPMMolRKj5f5WJonq7d6yrqO44lIgg9geJuAc2PullpTSiipljoYcQtzWPg9ys8dKWVsjo/Pj/0SlSzfKsL9Y+mWspOFs2khc4jy6EyurPUR6RFJswo8/f5Nrw+5chv/onUOBVJ0SrK69ou4jVqyEwQhw9B+IHLE2T7AR8qGQrSNeg0cNclEewp95EUrcbnV3js3WZkKfTbSY0Vv5/uwuVRMOkl/jQ7nPrmIM2OILkpGvQ/quhXydArQZz3hR7K0wIRSW1/a8To00LPI87Kx2DiYAMz76nF5fmh+TS88ddofv9kA1oN3DIzjGG9RbM4ofNUNwT5ywttI0PGWVU8eGUEm/d7iYmQyU/X/cy728tN0fL8LVFc/c96ymoDRJhl/nmdlcHZoowLAsD2A17+9V4zr3xpR6OWuG9uOHXNCg+/2XbRWJCh4f7LI9hxwMuzf4wkM1EkUN1F7zQ1910Wwf3/s9HQ3NZq5vlbotBrJXQaiXm/szI4VxwThR7qp6NPi+bTQg8kkuJj8M16V2tCDBAIwitfOvji4TjcPoX+mVp0YmRRoZMUV/l44H/tT1bVjQEkCW55tpF7Lo34RUkxwOlDjHz5iJqymgAxETL9ev2y9wtCT/bR905e+NwOgD+gUNes8M932/8Gtxb56JWoYcZYE1lJIiHuTpwe8AZolxAD/Ov9ZhY+GodeKzFAHBOFnszrAHVbUixpTSiupk4MSBCOP5G5HYNGe8f+lc2OIA53kKF5epEQC53K51ewuzqW0dqm0LIPv3fS4vzl/RlzU7RMHGwQCbEg/IjdGeCj753tlqlkWkcl/jGPTxEJcTdUXOWjuqHjMbPFpZAYqRIJsdDjKR47UruaYhOKqCkWehiRvR2Dc0Z0nNN1yhAxmJbQNWQna7nmbEu7ZVoNGHUSwSDkpWowaEVZFYTjwaiXyEttn+gu2+rh3FHtzxNRYTJ90kVC3B2Fm1TEWlWofnLFdO10C6lx4jsVTgFeZ/t5ijVGcIuaYqFnEc2nj8HQPA2v/iWKL1e7KaryM2WogTirTP9eoj+R0DVccZaJpGgVT3/UQnykirOGGXn0bRtRYTJXnmVGrRb3wwTheJBlmSvONLNglYv6g81rD1T7efTaGAbnaHl9oYOCDA3XT7cwIEvUKHZHA3tpWbvTzSPXRPLxcicNzQGumWbmzCGGI79ZEHoCr6N9Uqwzgbu58+IRhBNAJMXHoLpRoaIugMencP54I/0yNPRJ12LQiURD6FxNLX6WbPbw/ndOwk0Sj18fSUqMxKqdfu69PIJ+mVoGZYsLc0E4nsb0M7Dg73Fs2e/FapYJKvDPd5qJtMg8dWMkw3rrxPmhGzMaZC6abGbdbi9ZSRaMOpkvVrv4ywtNTB9lZPwAPbFWcTkl9GBeR7uBtiSNEUUkxUIPI47iR8HjDd3912lliqt8XPd4Pat3huZ7fXepk3NHG/j3TdHt3uNo8bBh8QE+enEDkbFGzr5sIAXDk0QTa+GE+mqdhwvvr239+6UFDj66Lwbtrh2s/GAnTMwgekZvUnOiTsj2fX4Ff0ARCYBwSqgqsbH88z0sencHA05LY9KsfFaU6ZnzYF3ra15cYOeTB2IZN0DUKnYlDlcQg05Clo/unGzRKUS1VNOgszLjbhvNjtBgm28vdvLMHyO5+uywExmuIHQaRVFCzafVP6op1ppCcxcLQg8ikuKfUVXhYPkOH09/5iQYlLjp/DAkSWpNiH/w4TIXN5zrZUCywrZVZWxfU0FsUhg711ey7JPdACx4bQvPLZtL78GJnbErwimgyR7gyffa37l1exUWrnNR9PQaDuyqZ+2iYr55exuPf3ERUXHmX7T+liY321aVs21VGYmZkQwYnUJCegQAwaDC8m0eHn3bRmVDgBvOtXDmMCNRYarjt3/1TvZuqqaxxkFyViS9+sai1YlDmNA53E4fz/9tMZ+/thmAtYuKSegdx+OL2v+uXB6Fbze40WmgMFeP1+Vl76ZqakqbiUsNI6t/HEazaL1xotRVtrB3UzX2Zg9puVFI0ZG88Y2DD75zMn6AnivPtpCfduSuT9tXlbN7QxU18ebWhPgH895qZspQA6mxon+x0AMFvCDJSKoflW+tETyipljoWcQV5WHUVrTw5bJmrviPr3XZd1trmX9n9CFf7/MrfPLKRp750zckZEQw6qIhJA3N4qYBiTx23af4vAHWLSoWSbFwwigKeANKh+Ven4LmR8nj3s01FO+owxpjZMNeHzZ7kMxENenxh7+gUxSFT17ewJO3Lmxdlj80kb+/fz7RCRbW7vYw6dYq/AcHaJ3793qevQmumtp+wK/G5gB7KnwYdRIFGUefCDQ3unjmz9/wyUsbW5fd8/pvOH12wVGvQxCOp23FPvpfOJyxlw2j2q7CpAmgarHh9XZ8rdencOW8ep67KYo9n6zhP39bgtGsxeP2c+0D4zn/D8PQaI7fDSQhpKa8mfsu/Yi1i4oxmrUUTs1jQ+IQvt0Y+pK2FPn4bJWLb/8ZT1J06BjZbPezq8yPViPRN0ODLMsoikJ5URPP372E8Q8ld9iOL6AQ/OUD+gtC9+Cxt5+jGEBrAlFTLPQwIik+jKoDTXy9S4Na5WNcfz1qlcTiTW4kCfLTNGw/0JYsj+2n46UFdvKjUjjnxlG0pOVwz8IAruUK54+N4NZ35zLvvFdE02nhhLJaVFw7zcKV8+pbl6lkmDBAx/2bq9u9VmMx8uQHLdz5chNOt0JOspr/3BLN6L76n64WgIqiJp7/25J2y7avrmDv5hqiEyys3OZhbD89eq3Eoo1uXB6Ff8y38dvRRqLCQxf763a7+dvLTXy5xk2YSeJvF0cwZ7KJ6PDQYai6xMbWVWVUFDWROzCB/KGJmMND8ezfWtMuIQaYd8MC+o5Ixh2nZnVLA5bKAO5NTbhq3fQZmkjvwkR0BlFzIxxf9TY/b3zj4O7/2rA5gkwYpGd0gYZ5bzu541wzl46RuKWo7fVqFYwfqOedJQ6+WO2g5bsSrn1wAo3VDgxmLbZ6FyW76uhVENd5O9VDbVlehq3B1fp5p47vw6NPeIkwy4zuq6OhOciK7R52lfpIilazaZ+HB15r4oPvXRh1ErdfEM7cKSbiwmUWvrUNt9NHYV8T+s9bcHvbbkDe+Jsw0hPEsUbooX46yBaE/va7UYIBJFnc0BN6BpEUH0ZLo5vUKA0PXWnlw++deH1B/jonHI0Kbr8gjGVbPWze52VEvo7hffTMvq8WSYIX/ziAyx9ra1Ly1hIX8ZFmBo5NZfC49M7bIeGUcNYwA6/+JZoXPmvBbJCZOEjPsm1e5s47m1du/RSA3IHxVAZM3PJsW9/j3WV+bvt3Ax/cF0N8ZMeLO583gMfl67Dc4/Lh9SrER6nwBxRqmoL8eXY43212U9MUQH3wXOnyBHnivRa+XOMGoNmhcOu/G+mVqOGckWrqq+3cc+mHbFha0rru38+bxOw/DkeSJGz1rg7bbmlyU2dzcnnDds5wRbDzypWU725sff6+N2cw6fz8Y/sgBeEwVmz3ctMzbeXs2/Vuwk0yvVM13DHfy2vXyDx+sYYPNsuY9TITBun5vxca+MfvIimp9jBgWh6P3/QlvfrG0lTrRKNVMez0zE7co56peEctpXvrmTSrD8/+37cAzE6M4/xxiWQmqFmw2kWcVWbe7yIxaiEYDPLKF3beXxY61jjcCne90kROioZpw7S0NLqYeu0w1h1QeOCKCJZu9lBnCzB7gomsRHEpJfRgPxlkC0CS5INNqO1gCO+kwATh+BJH8kNw2r28dP93nHHvb5n9cNvFz4Z9Xp67KYor/lFPaqyKnGQNby12UtEQYPYEI33StWwp6diG6pOVbj549jdkZ5vZvqac9UsOoNaoGDQ2jZyB8Sdz14QezmKU+XKNC0mSqG0KcMuzofL70q29GHlmLwaOS2fcubl8uq1jOV2zy0tZbeCQSXF8WjgTZ+az8O3trcuMFi0Gs5blW51c9EAdysGKk7W7vNwzN4J+mRrCzaGsuLTGz6crnR3Wu6vUxznAvi017RJigP/cuZix03JJ7hVJcq9I1BoZvy/Y+nzvwgQaImFzsY1Liy1886OEGOBft37FoNNSifyFfad/zOcNsHVlGV+8vhlJkpgypy8Fw5NRi6aup6w9ZR1vDn21xsWVUy2s2+2lqDqIVWlGkqKp/tFv8I9PNfDWHVa2bXNw3xu/ZeHb28gbnEBShpXKAzYURRGtiY6DliY3m74rYfematJyInn6L9+2Ple6cg+ZZ6bw8Ju21mVLNnn45tE4SmsCfLKi48239bs95CfDhbeOpFoTySVPhpqMDsjSYjXLvL3YwZVTj/0YIwhdnfLTOYp/oDWD2yaSYqHH6LJDxEqSFCFJ0ruSJO2UJGmHJEkjTta2fd4AeqOGz5Y72i3PiFOztSh0QVRSE2DhejdVDQH6Z2rx+uHBN2yYjB0/0txUDYZ4NVtXlnHNmFd4+k/f8MTNX3HN2FfYua7ipOyTcGqoagiwaIObJZvcrNnV1rlxR6mfRz+9kDm3jsTvCxKu65gUZyaoiT7MwFh6g4bfPTCBi24ZQXxqOEMmZXD1PeN44uYv+XiZozUh/sGnK5yMOdgU+0C1jzW7PGQndUy2YyNCvxe341C10H587lCcGX1i+MdHs4hLCY3wOmB0Cjc/dxYrlNDFreLquD/NDS68nl/X0W/rijKun/AqSz7cRZPPx4uPLGPryrJftU6he4uJOMQxPkWDURdKaNOTdbjURhZvdLP2R7/BivoAVTVeXrx3KQ9d/SlZfeP4+IUN/G/eckwWHcFAsMN6hV9u0fs7uHfuR9jqnZTta8RW33YzLjwpkpcW2Nu93uNT2LDThdUskZfSsZ5Aq5GY8pd6dqqSUJvbass27vWyaKObpZs9xEaIm2RCD3aImmJAjEAt9DhdNikGngC+UBQlD+gP7DhZGw6PNDBpVj4Gdfsr/QPVfrKS2p80h+Rq2bTPy3tLnTjdCg6XQp/0tov/MJPEdWcZqHa38M5Ta9rVdLmdPhZ/sOvE7oxwSomJkBmS23Ek1dyUtjK5ZWUZNat3cenpptZlBp3EP6+1/my/uKRMK/1GJjPwtDT83gCP3/wVjbUuJF/HhDbMJGHUh5KEbze4ueIf9Vw0yYxe21YTNiJfR2FuaLCt9N7RGC3t4x5zTg4J6aE70LIsMfyMLF5ceTnzt1/LvE9mU5IqEQD0sozSy4ha0/5wNuPaQmKS2g/09Ut9+Pw6Tru2P8M+Hs+C60zsuCuR3eE+Aj+9CyCcMgpzdYzt1zZInF4rMWeyGYtR4tLTTYwZGU3BoFh+WukbHS6jC4S6D7Q0uWludGEK09HcGPq/Si0Sq1+rocbBC3cvYezvB5B5Rgqf/XcTky9oG4xPRsGo73jZ425xoVMp3Hx+OBZj2xdXkKHB4VKobAjyh6cbQdXxOxqQpSUxSnx3Qg/mdSCpD1VTLEagFnqWLtl8WpKkcGAsMBdAURQvcIgxPU+cgWPT0JQGefW7AB5f6ALYH4SMNImpww18tjLUzOqckUbufbWp9X2Pv9fM1WdbuHlmGG6nnwSDhwX3f8JFL06msdrRYTuNNfYOywThWJkNKm4+P5z1e72U1oRqSaeNNDCiT9tFvLPZS+OBOi6+MoeLJ0axv8xHrMnPmNwjr7+x1smCg1PQADTWOMizODDqdTjdod+JJMFtsyLQHkxSP17uxB+Ah99o4vYLwgkGFSLMMueMNNArMZQIp+ZE8eRXc3j+7iXs3ljFpPPzOe/6IehN7RPlqHgLUfGhRDdYr/BcxT4eSO/LksYarv9gGt88tJbqIhvTrhzIOZcPwFbnxOPyE51k+cWj+zZU2zGYtPjnJPCwtxh8sBNY4W6klz2SwZbIX7Q+oWeIMEsU5uiYMNCAz6+gUkn8/U0b5401cussCw67j4QYNXddEs69r9kIBkM3nR6/LpKXr3uldT0elw+tXo2j2YNGK5Kq40EJKiTnRlI6NYz3AqXccP8IAtuaufCWEShBhcyCSG4z6bj+OX/re2IiZMJdTdgazPSJVljwUAy7Sv1UNwUprgrwxPttF/2rd3i4/QILj8wP1Y5Fhcn8/eoI8tPFlFpCD+Z1grpjGZe0JnCLpFjoObpkUgxkALXAy5Ik9QfWAX9QFKVjVnmCWCL01H2wiZevSsFrjKDJBVnxEg2BaqZfqOGyqVEE/RISkBqrZn9l6CSrKPDcJy0MyY7AE9zLbj+c8fAIwsN0zLiukPVLDrTbzsSZfU7WLgmniFEFehY8HMeOAz5M+tC0IgnRbTXAaRMK+MDm4NH7W8hOUnPnhRbk0jLCJ/U74ro1OhVGixZZlph683h8YVbC4i0sejScj79roa7OS2GyD01lGfu2hpPeO/pgs2kXNU3B1htIc6eY+eN57fsh5Q9N4sF3z8PZ7CUixohK9fMNWQqM4agkidv3b+am5GyK8lW4H88l069GHx/NltXl/Oumr2iodnD2Zf25+PZRJGVaj7iPtnonX7y+hRfvXcLt7/2GK9nd7nm/orDO3iSS4lNUmEHFjlIfC1a1738aa1Vxxp9q0Khk/npRGNNG6hiYE0u9LUBarIqP7/6Ysr2h/sWSBAnpVhprHBgtWvIGJ3TGrvQ4UfFmZjw4mnM9m/AqQR5I8fNcYX+caxp4+bZFvP2vFu5553yemKVmQ7WWfulqkqLV2D0GNhR7eP3G/2fvPAOjqrY2/JzpJTOTHtITAgkQeg1NOkiRIihYQUXUixULWFBAUcBeARUEBEVBRFBAehMEQg2QQnpI75NML+f7MZjcGLzlu9cCd55/c8o++5Q5Z6+91nrXZu56KolwtZovT/mw+5S1SfvhgTKGdlOREKEgt9RTtslkFbHZ3SgVf+XAOy9e/v+IdhP8hqdY9BrFXq4j/qpGsQzoCjwiiuIxQRDeBeYAc3/ZQBCEGcAMgKioqP96B37+MQuFTsmFKg0LryiNSiWwYlYgeev2ETkticfXurlc7mTeVF9mf1KN+0pkdI8EBb5RTh6o9ggH6U1FbHX3o8fQlry0ehxrFh9BoZRyzwv96dg38t/qV+a5Ui6dKUEik5LQtQUxba5eN9nLn8vv/Xz+M9pEKWgT5fGy1tVYSN57mcLsalp2j+KlL5zsuTLYO5ft4K4l1fy4uPW/1G5RTjX3ze2PMj6GGZ86qTW5AQsje4j0daYTXmOktlTB/BWncTrcTHmiF6MmJ7F2l4SyGs8fxNdHwh1DNGTn1FFYJSK4XBiwoFAItIg2ENDiXxOtiVFr+b59Pw7XVqCUSHng0smGdV/k6SjMqGLmoiHU11jJulDOpqXJPPTaEGSyfzx4PbU/j3dm7QQg5WAB+pFyyrBxS1AEsSotLkSCZM1D1K8l/uzn81qirsZKYXY1bqcbhVpOSKSeR8f7cOCstSE6IjpYis0hUlThBtzc/1YVG18KINeQj1PmRmGU0mt4HIUZVWj1CibN7MnxPTmMmdaJvqNb0zIx+M89yb8Q/8mzWVlcR3WRCW2wFLlbYLlfRxypdXzz6lEeXDgIjU6JSi0lwWDBnpHD5cq2zFrlidaSSuDjVyfj2wLcFVU8PlHHTxdsWGyeexwbKiMpQcqbXxtZu7txfl4qgR2LQxjU5So5l16uO/4n3512M8ivEg0hV3uEtrx4uU4QxL9gbpwgCC2An0VRjLnyuz8wRxTF0Vfbvnv37mJycvJ/7fgul5tDWzIodqi56+Om10evFVj7uA81LiXf/mSmY6wCvQYCDDIuFTpoFSYjKsLN8MrdTfvo48e29v0wyBXU1VqRCAJavZKci+WcOZyPyWijU59I2vYI+01l24snCpk5+HOsZk8OpyFAzQe776JVR299yz+Jf0kq9r/9fP47OB0u1r5xhOUv7Adg0c+PcihNxOkSMdtElm+tw2QVWfa4P3cOUaP6J3V9U5OL+PTVI5yO6s3B801ziZfcAr5l+Xwyr2k946kfDiWwTzzlBTLcokhwhJtInZT5y83sOmVDKoF7B8no7VNOoEGgTbewf9lIyLeaWVqUSbbVxOZKj2jdLEkU7rdzOPhtOhKJwOBb2uEfoiGilT8DJ7QhKEz/D9t8fso37N3gUdlWa+VM2DEae6SCL8sLSDHVopJImBedyPQWsehkf+napH/55/OvTk5qOa9O38r5nwuRK6RMeKAbrTuHsOXTU4x/ZRy5tXK0KoG8Uifvf2vkvpE6lHIBuUwg2FfgxJJvGHFbBz54ejdhLQ088c5Ivn7vGDmp5dw+qzelBbX46FX0HNaShK7/U97i3+XZTDlawLOTNjLguyF0qFexbNp2pj3XD7dbJPVkMQ6bi+zzZdz6SA/U7WIZ8XxNk/31WoH7R+soLTbTU1JAwvBE0ovcqBQCITIzuNxMes/Bzf21JETKEUVPGbrEGDl/G/eP3yterim8786/w7XvTdyXTyPtfX/T5Uc/RhLZDenAWX9Sz/5n8ZYp+J34S3qKRVEsEQShQBCEBFEU04EhwMV/tt9/7/iQl15BiSoYaOoRMppEzhZJ6dVOSpXRzfwr4aBRwVIeHKtHJdpJtjVXlE5y66jMMVJid2E1CJRp3fictLNg1AZqKjzqmBKJwKsbJhEQ6kNMm0B8DI3hKm63yDdLkxsMYoDaSgsHvkv3GsVefpOCS1V8Ou8gAPe+NZYVu218scfzvAX5Slhwjx9PLatCKTg5vDWDobf+djh/eaERY5WFiQ92o/Bw88k0s1RFfXZVs+XJa1IZfFMoPylK2VB+mVi7lsmHuzN1hA+jemt44sNqPtnjpPUkX6TlxZz/+TLhrfxRKv/56ynFWM2AKh86F0FvQxxqrZzAczZqO7WgvtrKqf157P7qAtOe68eG90/Q88Y4jhkrMblctFL7EKXSNLRV63SQZjbSbk4HfLv6s+3lY1hMDmo35pN8j4EUk2dG3Op2Mycnhe4+fj2CNc0AACAASURBVPT3DfqnffRybWK3OVn92mHO/1wIeKoSfP3+ceZ+NpaUo4UYPjxA1weHkBAuY83OOube5cfCtTVUGj0REVNHaLll3mg2vvQD876YgDxGS7rBwdiPB+H6uZp5t3+LzepJu1mx4CAf7rubxJ7hf9r5Xg9odEpqyk3EnLaz9JV9lF02EhpjoKbcTLtuoSyZuZ2X1ozjizeOMvSlsIb9VCp4f6YfblHkcqnI2kNOEiaE8vLgD3h1463I5BLOHi6gdd+WPD3ZwN5TVr7a5/EWtwqXMbaP10vs5fpF/K2cYrkG0eL1FHu5fvhLGsVXeARYJwiCAsgG7vmjDmyqtXLmYD6xg3yQyxQ4GjU5iAyWUlbjJKNAwol0G+1jZUy6wQeHU0SvEWjdUomuWMXLdVG4dVLWKcr4wKcHGTlS7t9vJdhXwh0DVaCr5PKuwgaDGDyG7+dLjqD3V+MbqGHmoiENoaRul5uCS80NjqKc6mbLvHj5BYvJgcvpGaTL46L4cWUdKoWA1S5SXuPm20MmnpioIyZYgrEmkNxCC5dKIL/USXiglG6tFQT5ycg8V8oz47+iOM/zAbxhUiJT+3dn9aFGNfXEVgrKC32b9SGkfQCLi9NppzUw0BDE08qOXA6RsmKHCT+thO9eCWbDASOXqp3Ycqto1SGY2nIzwRGNnheb1UlBRiU2q5PwOD98AzQUW81U7yxh+fQdOB1upFKBac/35+v1F8jPqGTYlET6j43n0JYMMlPKUKhkHLlcyrQij5B9iFzJd+370sXHjxK7ledzUlhb5kl5CLlBybz1N/LJ2K34tfJlV21ps/PKsproj9covl6prTBzeOulht9JI+JI7BWOj6+KWUvHoEyM57Mf67HaLNw3So+PSqBjSzmHUmw4XbD6RxMjuvjR/f4hFKQX8vXM7dy0diiP67O4+Udbg0EMnuf7h1VnvUbxf0hUQgD3zx+IVCqh7LIn11Eqk7Jl5ZmGeuXmOjtJN7YiwE+BXGZh5Sxf5EoZq340IRE8egcv3qXjdIaFsJb+SCTw8Yv7UfnrcISFERZiYExvNU6Xm+QMB5mFTr4/amFYNxUSiTev2Mt1iK3+t9WnveHTXq4j/rJGsSiKZ4Duf8axJVKI6xCMXjDz2ePRPPZxHZVGNy1DpXzwiD/JGRb0WglPTNLRMlTOA29V4rxSDvXmfmo6VuXxw4dHkSukPLt8OOe0Mp5Y2mi8bj1q4Zu5AViN2c2ObayyEBbry/bPz9FjfGt6jo4jQK5EJpcy4f6upBxpWiN10M1tf9dr4eXaJizWQFz7IFonRaPSyLlloBZfrQRBgDe+ruV0pp0F9/gy+eVyfH0k3DbYyvw1jR+5ObfpmTXRh1WvHW4wiAEObrzAjPdb87lEh0Im8NwUH0KCHdSp5ASF6ygv9Kiz6v1URN4WQ5olkzRLPR/EdSTntISH3q5saGvrz2a+XRBMQYmdhHatUPkoyBTMHC43EiRXIqt18dP7Z/n23RO43SKtOoXw4IobsUtFVjy0q6HMmcslsurVw0x7rh8rFhxk1/oLzFgwkENbMoiI8yPrXCkX5Wa48l8tddiYn3uRL9r24mRddYNB/Mu6zRF1vJ8xnVyNg4WuIKKUGlLNdSDARZORUMVVBglerhsEicCMBQOoLjPTMjGIHetSWLHAE3Xx3P7HmDi/vEFHYtdJKyufDmR4TzVjeqtJzXfy6Q/1FJba+OKonDdub0nFs3tIefc8SQtbU150qdnxfjHivPz/kculTPxbd3JzqvAxKBlyayKblp0k7WQx9zzfn/2bUolJDCKsXSjztlrYMEuNRSphyssVDW1sO2Zh47wgVLjICVSTerIYpa8WU48kHv3aBVQhCPDuTH/uHg5vbjBy5IKNWpOI339WAc6Ll78mDhPIr2YUaxGNxX98f7x4+Z3wTmteBYvJyYAJCRReqmTNtJXMSshn+RQ7X89SU1FuoneihieXVlFc6WbBmlqcLmgbJad9rJxNhy34JEQDnnA7rcrA+5ubFje32kVOZbtI7BnerJbl6GmdOL7LYyxfyCjlxZzzVDtsACSNbMWjbwzDN1BDUJiO5z4ZQ+f+/yNCD17+X/gGaln41SRCR/fhzlcrWLaljkVf1rJudz2P3qxnUGcVL62qoazGzaQBWl77sums7+L1Rk5nOWkxsDNPrJlMu94RDevqckv4cIKJzU8q6KEsoabKyKfzDnDb4z1Z8sMUFu+5nQc+HI79vJG3qmIYIPentzOMpd81/T84nHD4vJVWAQ7mTNzA9yvPUHu+mhmXTjI9I5ni0+V88/Zx3G5PyHbm2VK+e+cEtnp7k3QCAJfT3aQWuM3iJK59MAqljLsXDWSVpKTJ9keMldQ4HeRYm5dGO2au5juhgjsyTzA7J4WZmadRSSQsyLtIvctJa/W/Jgjm5drDZLSy+rWfePvxnWz44ATpp0s4si0TgA59Ith+0t5gEP/Cyh11VNS4qDSKZBQ4mDRAQ2iggqcm61EFGVBrZWQdLUJudNH2tubCdv3Gxv8Rp3bd42NQYWjjywNLR5DQtQWpyUW0aOVLeBt/5q+bwIFNaRhRcSbbidpsZN0+S7M21u8zMSjOwZ1P9eb0gTzajOrE54dctAqX0bmVAkGAF1fVkFfq5NGbdfRupyS9wEFZtfMqPfLi5dpGtJmuGj6NQgOWmubLvXi5RvnLeor/TAwBGpL35LDl0zMAbF6yD4Dqv3Un6d5+nM5xcOdQH3q1VbDvjJXXH/DjWJonZG7qcB8UtsYBdn2tFamkeb6RTCJQXlTLw0uGsvPL89TX2BhyazvUWjm1lZ6PdGLnaBLOa7m01U5QPAR3V3HbE0kMm5KIIBEIuBIOVl1uQhAEfAM1zY7j5X+LogoHKTkOzFaRttFy2kQpcOr1LPyiafhvfpmLAJ2EB27ScdPzZQ3L7U1tTEQRiqvcFEn92ZZio+e9Y+l1ayGrZn2Hj07Jp49sYvjt7bnxzo6offW8ue4ujhxMJzPlIhVF9Rzf3RgN8fCa8chCZUglzTUipILA5XOFiCLsWn+B2HZB3DkslHXOYoouVDbb/sKuPG4c346Zi4bwxZtHqS73pCEoVTIkf9d+QtcW9BwWiyFAQ0ELkbLUph66EX4hBMgUxKubu3gGGoI4YGz0IFU57Zw11dJGrWNHdQmPWFvR0msYX5dkX6hg44cnAIiK9ycrpfE/IrpFZNLmz7BMKmCzQ2KMDImgoldbJUu31LHtWA2d4uS8t+tRxIwqFilycMcreW7ljXzxRjKiCLc+3AVdpJZMcx1HjJVUOu300vnTXeeHQuKtYfzvYnW7sPbToytz03VANH3/FotSTKc2M4yDm9ORJ3VjQj81uSm5yGTNBbLkUrh4OJu9G1IZcmsitQolS2b4cSbLjtHsZvJAP7YcMWPQSlDIBXq2VZBX6mTbMRP3jdITHfKXFuDz4uXfw17/GyWZvHWKvVxfeD3FV0GpkpGa3Fws6/iubAxyB5HBMtburmfVjnpm32ZgzifVbDxgZvNhM08vryYgWNPgAV6/YDdPTGr60fVRC3SPl7Phw5NYTHaCI/T0HBZLVJsAlj2/D4lE4N7XByPb70fJPRLOLrCy+04jR+fUY6txExiqIyDEh5pKM5uWJXNPj0+Z3nslP36RgrnO9kdcIi9/QVLz7Tz8bhWf/FBHeoGDbw+bOZFmxW6Hmnp3s+0NWgk1JjdKuYBEAkaTmxC/pgPwkb1UfP+zmSXra9mZbOWVL+pYmuLPYx/fTGZKGaIIhVnVZJ8rxbVXxeEf01n//lHCW/o1MYhDogxk1wew/biZhyc0NUBVCoH+HZWsnburYdnl7Gp6+wRQ53Li26r5oLVt9zAOfpvOigUHmPpsPwA0OgUPvDKIbWvOIpVJeGjhIHoMiaXrgBji2gfT0eDL7IiEhpdeokbPs1FtUEqldNP5NVnXXqNnfEA4x+qa5vHnWk2EKz2TXFUO+790X7xce9RWNmo9FGbXNCl9V15Uz/DuKuS/mlKeMcaHrUfNKGQCggDrdtczpKsaQYCzWQ52XbBTukzDQ7UJ3K2u56esiQx+/DRDnjjNuarp6Fsa+bg4m/svnWROTgqDzx1gV3XzXHYv/xyTy4lLCmkBdsY/3RVRlkVm4SEyz1YRFK7j+2Q73eJVVBrd3HaDqknElkQCkwdrcUoVXDpbSmRrf1om+DL3sxq+2GPi+6MWnv20mpv7a+iTqKS8xsXPF2zMW12D1S6Qlu/47Y558XItYjdfNXxaUGgRvTnFXq4jvJ7iq2CsNhOd0LT+b2hLP+58dyI2mZp3vqlBLhV47g4Dq3eaCA2Q0i1eSWahgwu5DtbutdC2ZzgXjxXS/452xMc7WPNsIJsPmwnxkzCuj4aNT20gL60SpBJazmxDno+DnTIbd307ColKhlY0kHdT01CsnM122v/NRYtenqH78Z3ZvD5ze8P6eXdt5q3vb6P3yFa//0Xy8pcjPd/OuL4aTmXaeXFVDW43rPlRxmezA7lvpA/vfdsYtqyQQ3yogMUl4clb9Ve8XG7m3G5g6XdGMi47iQmRMW2EjskLypscJyXHieTWMFq0rmDK7EA0ChG5VUtVqZkdmzzRFX8fwmwIUDNzzZ3csqSOMb3lDO8mZd3zgWw6ZMZfJ2F8Pw2OolKsFieTn+mHTCFDHi1jKxW80bIjLSUy+o+L59B3GQAEhem4YXZXNvhUMnlaLJXHqrlvz3jC/HxoF+RLhz4RaHVKIlv7Nylv5i9X8nx0WyYHR1Jnd6AosvPNw/vZ5qPgxjs68FyPNkwOjsTkchGr0nK4tul5A/QzBPJpcQ4S8IZPX8dExPmjVMmwWZ0YqyxI5RLa9Qjj4oki+t3RjTe/rmHtc0HsOG7BbHNzUx8NLpfIK/f68eDbldRbRIZ2VWF3uBnaVcWuk1aOZ9gY1EmD9rzI4YtvYbHWcj79q4ZjVhQfZ5+2MYRaBJ7POU9vfSD+8mu7LvYfja9Vws6qUgYagtirrePDehV+UTcyu8KPTR+dZtjtDh7/sIqVM1qTvvEIX87pzZbjdqQSgUk3aHC53EQPas9dC0T0/mp+ygObQ0StFBjUWYXFJvL1PhNnMm2s22MmqZ2CpycbqK1381csc+nFy3+E3ez1FHv5n8BrFF+F3NRKWnUMpuvAaE7tz6NFtIHpn96B1ldJYYWbE2l2vpwbwKbDZrrFK5FKBH46byUxRsEdQ304esHC/UuGcNRayXc+1cwt28+IgEAeSfDn1MF85j5xquFYqclFpN0Eu2rKmK9qTZRdSXZuNWFhClwJCuouQdRUFzY/IxJBgtWlAAw4HS42LWteH2/vxotNjGK7zYnV7EDv5y0Zcb2TWejC4RT58O9y2C8VOlm4toYFd/qgVQus32cmIlDKUxO1ZJe6eeCdxtDkxGg5y2YFsO21YIqqPLU5d55onm/Xq60SOzI2GOMRBJgxWkuopZ66zRICQnwwVnn20fgoMNfbmfDSKOoFJSarkY0HTAzvrmLZViNjemkwW93YzA5qc8uZuXUmH20xYa8Tub+3D36OXJYVZnPbNnA53Ex/aQBBbf04FmnjLtcFrEY3X8vhk5HtWUER7dR2SgSRsV3CCVRcJf8JUEqkJGoN/LT/EjPHrm9YvuXT0yw7OJXEHo3qv/19g1gQnchrBWm4RJG7Q6Ipd9jQSKWsSOhOe63hP75nXv6aRLcJ4I0tU3jtge8pyqmhJK+aBz6aSHpKBQERBha+a+ZCroP4SBmF5U52nrAyvp+a7MLGiczdp6x0aa2gcysFu05aGdBRgbzUhivMREjJg4TETcWlOk/yxfcQRRGrqZJSRdNIn0qnHZvo+qNP/5qmpsLM4ls3c88ngznurGd+vkdtPg+Qto/ihnGtaR9SycM3hXLvx3buGdCB+LIKHhukRROgY+66erIKnUzor6HfiI7kHDuPTaVnWDcVfdur2HrUjFYlMPVGH0L9JazbY+bni3YSY2zsPmll0YzmCvxevFzT2E0IvyG0ha2u+XIvXq5RvEbxVdj99Xm6DYwlOFzPEx+Mpiwwmve2WejYUuRslp1xfdU4XQJpeU7S8hzsOGEF4EKug5/OW1n1TADvK86ysboIrkRSHbfUklkiZfPyU02O1W5kDBG+frykiGPTiz/xwsa0hnXPLBlHa4k/73+4mcIrpZc6/hjJi2vGERrtS4soA2cpaNJecGRjqGlqchFrFv1E5rlSRtzRgVFTOxEW4/1gX49cumxnw/56bhmobbbuwDkbuWk2Li/bxSeLRpF3rhBznoH5W5p+5C7kOUgvcNA7UUdMqGdZldHFyJ5qth/3GLpSCUwepGHq4kZj+shFG188F4Cy0sad0wexbuU+ju/KYsbLA9n/bRr6+HB2n7QwJknNncN82JVsIT5Cjq9OSp9EBaqay7g6J3DL/MZQ5eNpVXw8O5q1miw0ncP5ftFxslLKCPs6iRW2pgrs64VSfCRSWql9KLRbybDU/aZRDGCzOvh8yU9NljnsLo7uyKLd3xnFgXIlT0cmMDkoEjciQXIlxXYrC6ITCVV6J5muZwRBoPuQWD756R7qa6zkW9UMf6GCeouM2FAbrz/gx4eb60jJaQyVPZNpY3AXNRNv0LL6R4+uxLlsO5FBMm7qrSZGUoM1zMFLd2xsiKRo3SWEEY89yfGUN4hs2Z/ysqbh+n8LjSNU4X3W/h3y0io4czAf/cvH2flo09QLmVZk0jO+pGZ+TmtdLd8vfJfzuSIrfpYyq7WBYU+VYzR5PL0pObVMH+XDI2Pa4lcLKoWEl1Y1igodSrHx2TMBhAVIKap0cTzVxtCuSlZur2dskgal0pud5uX64LfqFHs8xXWIoojwa9VYL16uQbxG8VWISwxi/7dp7FiXQsK47jy+tI7VcwJ5+D1PWNzyJwJwuUS6Jyh4ZW3TfIrCChelNQ4GJATTykePSiJhd3UZh40VyAYEMGxqB3avSUEQBAZP74iivR7XigIyfNTs/zuDGOC7r47RISmywSAGOHekgBO7sxl/fzcmzezBvm9Ssds8ngQfg5KB49sAkJdewSPD1mIyejwPKxYcpCSvlmeWjkKh9N726w2XCJMH+2C1Nw/d6x6vIO9UJmkni3l+xErunXsDqtYtqDA2V0qtN7twu8UGsaoBndSenN8OSnacsDBpgJYfr+I9/uqAmbmPOjGbZSR0DUWQQGCYjkc/6EhyoYQzmQ6eu8PAy5/XkJzuycVdsc1EdIiM7QuD2fxl81z4dTssTJ0Ri6zAs33igEjqfWTwq00diDwTHs95cx3+MgV2txu3KCL5jY+0KILb2TzH+mrLJIJAjLpxokEn8wro/C8gimJDiaTI+AC2bzVSb/H8t3KKnThdNDGIAc5lO5jQX4MgNBpDN3RU0b2lwNnNFzjzTRnFuTVNUgsuna7iJks3hiV9gLkqnEWxEVysq6Cj4KKljz+dg2J+/5O9zvglfNlldvJYizjsdjdyh0g7tZSLB15hV8q3+BrCuGHEQcY8X9XwzpzQ39lgEP/C6p31TB3hQ2yAneePmH91HDiWaichSkZRpYvOrRR0T1CSXmDC1fxV4sXLtYvj6uHTgkwBAuC0gtw7eefl2sc7lXkVErqFUVpQi49BSbXLk8tls4tolBJEER5+vxK9jwSVwiNQ9GskWpEcm5nPS/OYl3eRDloDnbQGbMFyqh8PZ9HRu3j39D2UPBDChRVpbHz5CCZjo2iPxkdBXPtgwmL8OPdTQbP2LxwrBKB9UgQf/3Qvs5eO4rlPx7Ds4DRad24BQM7FigaD+Be2f36OkjyvKML1SOswGbX1bs5k2pk0oFGFPMRPygt36Dn5/QWkMglut0hwpJ5WYXJuH9zUqyyTQkK4lNQ8O8Z6j8FcaXRx6/xyVmyvJzFGTl6JA42yubGpU0twyR08NfELtn9+jm2rz5G8P4XcsnRqTW7G9VFTa3I1GMS/kFfqJL9SglbdvE0flcAtQWH0aK3kvnUjOfdwAH01Abxqi+VVWywjVUEAPBkRz8v5aczJSWFW9lnGXDjM/poy7G4XaWYjqSYjNldjCKpKLeeOp/s0OZZUJqH3KG8uvhePmv+6N49ye4dl3N5+GbvWn0f+K7XpspqrWz3hgTK2HfNMGnWLV9C3vRJpxUU2LDlITNtAirKbly+x1+l5594ikrfnE2Qpp9+51WSuGsvPqydRkbkXp9Mr6PbvEN0mkLbdQ+kwox3zClI55zSSq7Cz3WlCE9sXUXRTXXOZ1AKaTCJeTVFcpRBwukScUtlV31EGrcQTRh8ho1W4nDNZDh65WY9G7R1aebmO+A2hLQCUOm9ZJi/XDV6X4VUQRRh+W3uUKjl+es8lem9TLcsfVON2lhMeJ+NijpOIICnTRmhZud3UsG+vtgrqVTWsK83jlYhEjhgr+LQ4mw3teqPJsVHyVj6L9h6kQ99I7n+sJ3O+2guAXCFFJpcw4YFuKNVy8tIriO8cQp9RrVh439Ym/es6IIaCzEp0vmoSurQgoUuLZuegUDYv46FUy5DJ/7yPtcVkpzCrGkEQiGjtEbLx8p/hdosUZFRSkFmJVhXCpkNmBndR8dLdvrjcomfipqqS8Dh/Bk1sR+a5Utr3CscQoGb6cM9Ez9cHTEQFy3jhTgMfbq1j96kqhnRV8fydBjrEerwf245ZWLrFExL61YtBfHvYjPOKnSmXweQBar58bQ9/rzET0VaktiaTzYdN3D1cR4BeiiDAr3VoLFaR0T1drP5RwObwrBzey8l7z2RS585HExNNd100cUUWbJl11O/IZ8faFJLGtWbPwr5kO2xNVKIdosju6lI2lxfyaWkuIiJTQ2J4PqotkSrPhEGPobG8/t1kvl1+Ep2vigkPdKNt97Df70Z5uWZI3pPDkR8uMeWxXiAI7NuUxujnYogOkTKyA8SpTcT4m7i5n5pNhxujJsYkqfH1Ebh1oAZBEKiqc+EbmE1gS1+eO3kbrcJ8MZttfP32iSbHC4pxEBytI2lwMNmnllJVmcOwwU8iIHDwp4/R60KIjur+R1+Gaxa/IC3zv57I/PpLPOkbz7uFlxBwsyhOQ/swA51av8fJQ/vRBQiM7aWkfYiDQKmVzvpalk8yU+eUszdPxbbTLp6YpMfpEskqEnl4nI6D52wN7y+NSqBXWwVymY7iKhcL1tTwwp0GBnT87dQNL16uSX7DUwx4jGJrLehD/9g+efHyO+C1Sq5CVUk9CqWMCQ92xaQVmDJYQ1ILC1l79tP/iRN888MM6usdBBmk3NhTzegkDbnFDhBBVZRH1uJLvHNTK7bP3o9CKeOdvyViMzlZM207uameuqcHN6eTcbqEcTO6sf6dY2ScKeatH27j4vFCPl9yFJPRxqEtGfQfG89dz/Tm8yVHEQQYNa0z9bUmTp3Yi9H5MzqDjs6dxxAd2a1JTkerjiG06hhC5rnGkh7T5w8g9E/KKS7OreHDOXvYs+EiggA33deF6S/eQFB483I7Xv417DYnP36RQnWpGQSRboPD0GkE9p62sve0J899xZN+vDrlK+pqrBzdkcXL26aRVqvGXWJF707npsR0pvTvi0oTwY3PVlBl9Iz4fvjZQnGli7VP63losISfUyVUGT3escNnTWycG8CeszYkQP+2UurPZ2AIaBo+ZbfKSDu9nJemziI53YHN4WLqcB9W/VhPC38ptydBmwgpMXoHeTkb+OqFSRxIkREe7OTGkeu5JF0EQMCFLRzdkMaxndm0iDLQd1RrWnUM4YNndtN1UAwFY5sKXmkkUhQSKctLPTWJBeBgbTlJNf5MaxHr2cZHSb8x8fQd3dqbC+WlCWWXjej91Xy28BCiCDeMS0BWXszGR3V8PGcnQaNac2lHNneP607bGAOXy530aqskLlTK0VQ763abyC52smx2PRUBo6kWDbQLW8mWTwsIjvbl2ZU38f7jPyJXybnrhdZcLHqLR99/ErN4EKlUhl4fys49ryOKIu3aDKfeVPXPO+2lCYZwH1oV6XgtP41wpZr34m2YFZMpwIFK2ZMQxbNsemkrLUSBNje1xtdXzZyx31FX43lvDp7SgecWJOGSuqmyiizfUsdbM5TseyuYs9kOKmrc9G2v5ImPqknN84TRa1QCIf5SXG6v+rSX6wfR7QKn/eo5xQBKH0RLLd6vqJfrAa9RfBXMdVb8QrTkplZw6Ww6t/aPRnS7MYy04a4bzKZ9Sh4cK2ftrjp0Gh3fHjJRWu1i6lA1VWllJHQK5fU7G727p/bmsmjb5AaD+BdK8mqJ6xTCfS/eQNrJYh4bsY6gcD33PN+PLSvOkJ9RyaEtGSQNH8n0eQOI7x/O4fUX0bS4zK4TM/A1hBHpGMB3W19m3E1zifk7b0JwhJ5F39xCYV4BNrsZnU8QcYnhf5oBsH9zGns2XAQ8nsItn56mY59IRk/t9Kf053og+3w5r93/PVOf7UdUQiDfzN7E6hdu4lC6SFWdm1E9VZxedaBhoPfstgd45HMLF3IrkMvgqVsTSDAc5cSPPek8MLPBIP6FU5fs7DvvJiJAzeanXWSVCsgFN/KachYO2ER85xAAFp8pJTDUh0c/H822Neca9k/eXs+4186zeL2RjAInY/tomDpCy5juMiwXs1g1bx9H62xUzOhO/4kTKE4/weBAgXY3BHJJuhgAX/dw9q02seF9j9J6xukSkvfmMPezcXQfHIOvnxrf0y5erwnDHqPiHVUh4Qo1Z+s94Vz9ZX5MKjJQsPsy1ZG5ZI7V0Kp9SEMfvQbx9Ue90UZeWgU2uxuXrz/VVoGIQBnxkfImIbLZRQ4yCx1IpQJyGQT7SomPkON0ujmwOR0ArV5J+17hVBWb0dlEut4QTdb5MmLaBFJRaaOiVoJBK8FiE3lvUz0X8x3c1FvN0G5K/EJyMVGHU6jFJP2BvR/pqSiuR++vZsF3tyJx2ymvPIZC2oEqy1HCw9phtRn5wFCbBQAAIABJREFU+fiahj5eTNtJbEwSiW2H/+HX8VpGL5OT6NYy93Io5fuKSIuR0i5pB8VF+UhU0WxZepHTB/IBOH0wjyffv5H6WmvD/nvXpxDfPpAv3jzKxGcG8tDoBLYcd/PZjmr8dRImD9Lw7CfVzJqk52y2DbtDILaFjLkra0iMlhPi79Ue8HKdcCV0+re+lYJSB+bqq67z4uVaw2sUX4Xw1gEseXAb6adKANi+5hzj7+/KmIFBZJ8ycPcwLYu/rOHRm/XM+aQKxxW9ohdW1/HMhPZkHD7SrM3Dm9LpPCCKM1c+xL9gD5eT9X0ZP/3g8WqVXTby0bN7mT5vAB+/uB+AylITK18+yAurx5GVUoq+8056tX+K0pR4dqwqJSKhJ5dbOYiJamzX7XZhdJzix+NPUlmVR5dONxMW/yw6/vi8SZfTxb6Nqc2WH9l2yWsU/wcUZlchiqBQyXA5XZw+kM/pAx/S+8Y4Bg6IRpapptvYDnQdk4gxr5z3t9u5kOvxajic8NoX9ax79i4G9C1HbC5ajUohUFDu4vGPqvj6WV9cF1NYPv8gd8/uC0DGmcYoBL8wH0wRPiw6OZOMrSmknyhizAujmPByDXVmj7H9zjdGCiucTO9hYfGj2xr2/fbD46gMaoIGDkKpFrBKjuCp0gry/Mls+eRMk36Z6+wU59Uw9bWBvDn9B3JTPPWElWoZL28azeEoGxEqNUfqKpl4UcPqGY3H2vnuKZbun0pM26Z1yL1cH1SXm1g+dz+nDuXT6eExLPi2HJfbE+K/enYgtwzUIggCRy9auem5MmrqPdEPtw3WYrG5mTrCh4zTxQ3t3ffiDaxYcJBbH+nJ5tl7qC5vFFt67L1RhAXEYbKKvLqulsorkRTvbaojrcBBeGAb7rn7CcyGN3FoUwiOHElFcT3GKgsntmTy3aensFmczF4+AZP7K/Yd/AgfbUCzc7qQuoMhAx5HKm2eEuPl6pisVdj3lLNmxvaGZf4hWm66twuLX/uBm+7rTPukcM7/7NHnOLYzm9adWpBxpqRhe6vZgbHayrdvHmRoREvmrGwsPXMszcb7j/jzt3crWfp4AHM/q6G40oVGJSCTeSfavFxH2E3/WERLoUW0erVqvFwfeNUgrkJJrrHBIP6FrStPYy2KY/0rZ4gPEzCa3SjkQoNB/Asr9jiI7xfXrE2HRsLYxf2aLOt7R1vqDAIHNjVVnXa7RRxXFKXb9QgjP8NT/sZusuMbqMbPN4LUXTF89WYal7Oq+XlbAS/depDc1PKGNoqKz/PxZ7dQUZmDKLo5dWYjW7fPx+5orhz8eyOVSekyILrZ8g59Iv7wvlwPiKJI8r5cygs9g7RT+3MBCArTAVCUU4OuZSinpDHctxr2FOoIH9Ce/WebKzwXVsqxOyy4679nTFLTnKGHxurYeNCEwwnJWW4yzpbgcrpxu0WCwnUN20XF+3Pb+7fx9ocCU16p55S+HePfHsXlWqHBIP6Fbw6ZMdmaDxoPfXUOwW5n3IsVmOsjkeKx0l3KQuRXyY/X6FWcPVfUYBAD2CxOTr15lgm6UAQEpqsi2bnweJP9airMXDheSFZuJVa749fNermGqKh1sfe0hS/31nMi3YbN4Sb9VDHffXKKftN68/JmV4MKsMMJ09+sJKfYQeqpEs79mMaLA+uYMdjzbH2510S3eCX3vl7JsFl9uf27UUw/cjMXkgsxGW1IZZImBjHAl0sOoxNsaFVCg0H8CztPWBnQUUvp5SQANLUjyT7f+KxazXaUKhkup5s3Z+5GF3Y3oX0eIOIqucOt4/pT63ayt7qMr8ryOVlXhd3trV38j6iuLuGzFw82WVZVakKu8NzvrSvOkDSicYJYo5NjtzX9mKs0Hm9vt9FtWb696XfT7YaCMidvPuiHKIo8PlGPVAIPj9dTUdtc1d+Ll2uWf2YUK7VeoS0v1w1eT/FVsFubf9RcLhGL0cmUx3ogqavms0V6UFt56HYVazfbGgb/Bq2EmHg/JBIB95XcIrlCSuioCIp1Ll5YN57zmWVoW/pwOsbFCZeR4Ag9pQXGJsfz8VUy4cFu6H1VrF7kqakaHudH0vB4QgNb89H6nU22N9fbyblYQUxbjyJvafkl3G4XGrUfST3vRiaVI5HKqK0tJiiw5X/9mv0zRt7ZgX0bL1KQ6Qmzie/cgr6j4v/wflwPZF8oZ9aoL2jTLZRJM3vwzUcnEAR4+PWhLH7gB3x8VRTJAli4rponb9Wz55SVwgoXHVvKOfEr9ecW/gLnj2ynrn41U4f6MmXwYC5ddiOXCexMtpBZ6PkvKGQCumAfAL548yi3P9kbQQCJXEKrsV0Z/0IlJqvneS+pdLP7kGfS6NeoFQIKRfO5uOBYf+odngHrzCUG1r68mkLtY5hCl3LPvKW8/8Shhm2DwnUEtg2i+GQOU5YNRvSRYjxVxe4PzpCfVsXlmnoOOSu4VxnOaUvz/3JJXg3vddvJY++NIOd8OanHixh+e3t63xjnzXG/Rqgyupj9cXVDPWCAz58NxL/SY7zYpKoGIbhfcLpELp+9zPMTvmwoi5TQK5K/jR3MqsMiDqdIuzgpP/hV8J49l4nyFkgveiYk3VepsWOzOIgOBNFXytynFCCInEuW8N0+Gwq5R83YVxFFsPMhDn/mi9VcBIAgQGiMX4ORbbM6OVdqZZ4/rGo1jKiIrVwuOodSoUWrDaBjp0k8mXWWTZWF+EkVlDtsrGrTg1uCIv/r1/V6wVovYrM40PurGfp0N2SRatwlNpTOxiGP68o9lcokDLuzA5nnygDP9/rmB7txfHe2p606K74Bzd9lGpVAfrmLPu2UlNc6WD0nkKVb6ugWr/gDztCLlz8G0W7+x0axXOM1ir1cN3iN4qsQ3jqAoHBdgycOYMqLfanroqPOJsekcPNM3iFGK0LpNMyXFwZLcJao2L9Nwu399FQXZDB72SgyU8pQqGX4DAlhnk8eT2SHcvlwMWfu92Wb8TKiCxIUGtbu70lFQRrWah2bFpejVGvoNLYl6rQKvpp9kJbtg7hjTh+0ehWbPz7FzMUDUWrkmOuaGjgKVaNHTa0yoFBoGTH0GXbsXozFUoNEIkWp8KFv0r0olVeJl/03yEwp5fzRy5Tk15LQJZQO/SIJDPH5ze1j2gbx4d67yUmtQCIRiG0XSEAL3W9u/9/AWuWiLNlJZYoTQ5yMkJ4ytGHXfghifkYlDruLlKOXcdhdTH9pAA67i+gEf174bCwWk4O3DlnQaz0DuTOZdlKy4fUH/cksqqG6zjMYnDRAQ6RvHsW+EdTVl7F/9zSSet5NVMjL3Pd640dOqxK4oZOdwIFWOo5szxfzi1n92mEmPdWPVsM6k5onNhjESrlAt9ZK5q2u4cGxOtpFy7mY1+iRffoOLeFBNiJa+XM50yMgpFTLSLqzF8l5HismvcDJio1dGT9+M5fdZQT1DOK5NWPRtTWQr3UiqAQsMiWS8BbYBRdGlwN9P19mT21LxvosvnGWMq1FNL4yBeNm9WDVnP0Nx1eqZITG+DL+ga4se3Zvw3/85P5cJj/ak5lLhiKXX/vPyPXO+Rx7E4MY4NEPqvjheY+CuEFqY+FENVJTPRKNio0pchIjZHzy/NYGgzhpRBydB0QTFGthQAcD+WaBxyfreLs+ldd99XQQreRMjCfzXClypQylSobt7yZMx8/oSkBrJaus6Vj0Ltpr9XRpIzLlPj2iTULWeTNl6UF0yB1Du04BDJzgoq7GyuhpnVm7pDHFRqNTYAn0CDQ9X3KZL0cvxFJ6gbr6MoICW+GUqZhYrWNKtp7c9DKC4iJIV1RSoAtoUFP30pTymlPcMbcvgWMjSJGbqXO78JX5oZVrmNprHMZDFXTtHY1cK0PSw5dkpYWRL/YixEdDoE7D249s59KZUvqMDWPsIxL6SuXcOs/RoDwdoJfgdAlYbG4KK5xUGd04nQ7qzW46xXnzib1cR/wTT7Gg8EH0igF6uU7wGsVXoX2PUF74bCzb15wj81wZw+/twIXhGpYXnGVhi3bcm5PMCL8WWF0uXsg937Df03e0pbXVh60rL9FtUEsOb8lAKpOQZJBy25BQjAfLqc4xMi4rHFtsEKettXza1kKFfBruMBsKBJ4ZMhfjyf6seno3YTEGHv9gKBeOFaOUSrHbnGSdL2PJQz9y84PdWPv60YZjt0wMolXHRgGh8LAODB/yNPsPfYTlyiye2+3iux9eIC62939U4qMop5o1iw6z5+vUBm/4gwsHcdczfZBcrXDzFYLC9X+YJ87tEDm/zMrpxY0hj5EjFAxcpkPlf21nDfj4NoY5p50sJu1kMeEtfQmJ0rP4wW30HBZL7JARlNXIyCryDOJdbpi/uoYZY3zw00loHyNgkJ0nJtyfoBtf4uPPJuF2O/H3jSS/ZCFfPj+HbcddBPvJGNvfhDOuP4WUIWkh4fkbFuDIuIv1J1RMXFDNvKmNiuZdWik4nOIRrFm+tY4nJukZ11dDTb2LHlEuwiNtvHDLRgZPaIuPQYXWV0VUu2AKsmuJtxlZMMGPUlGDqHKS6pCh2KPmzekbmPT2AD53ljKpPBBtjh19HylVcicv5V5oOHZXrS/vPtKJgvpCHs305CG/NyaRWX6j+GH5KQJDdXQfHMOmpcncNqs3m5adbHJdN36UzM0PdScqvnlep5e/FlV1zT231XVu5HoNMxcNRim18cXTX2C7Eikw8an+jBzbgXe3KwiL9aXPqNZUltSz7DlPSTxDgJpbXr+ZpV8JPHdTJjt3vECWy0HvTk8z6eEebFqWzN8WDeHU/lxK8msZemcXAjpFkyLWUOa2opRImZd3saEvs8Jacy6iliGV8Ri67MffMgxBEOg2KBa/Flos9Xba9QijuszEmNf78ZK0CNxQYDNTWFPPpeR11NdXUF1TwG0Tl1G0KYLP3trf0H6XAdHY1kRBhNcovhqFJWnE3z2Ch3LOkGbxTHwJwKLYDrTy86EiSSAlpwxZCxUSm8jW8dsx13smmW95tCd3PN0X/yg3yk4rKZN/RoizN58/+xWHzzvQqgR0aglLvqolUC8habofe8/YuGeIkqCqSuR1SsCrWeDlOsFej/Bb5ZgAVDpEU8Vvr/fi5Rri2rYOficKs6v5YdUZgiN03Dt/IAHDI1lZmcuT+cFcyqhABHrq/dlaVdxkv3fK06hwVrN3wyXkSijOq+VyVjUbnz/M4CINmgdiKFgSQ3FnFXN927LHJwGL/Gnc/JLrKZIvX4AyuITcizV8/d5pXrj5W3Q+KqwWJ6tfPcz4+7tSkl9L+ukSHnxlEONndGXO8tEs/vZWQiIbS9MY9C2Ij7uB6pqCZudXU1v0/7ouoihSluwg4x2BXq4BvLJ4Kh17etS91rz2E1kpZf+vdn8ParNdnHmzaQ5gwY92qlOv/XyvVh2C6T+2aej5Ux+M5JOXDgBwfFcO43rIqDS6SYxu9FrUmty8/pWR2nonKUdH8fXXo3h/6Qj8fMOY9fAe7r59JS6XA5dbQkWtDaVCYHS/ahxx/XDwy711k6eYi9G3HB+DCrVSILfUSfcET8hgea2LFgEeT6sowlsbjLy1wYjKbWfL019TdayQsjwj6985xqfzD+B2uJg78SveeWgLa2d/z8H5GxkYaaHnABeFWdUse+hHFEopxs4a7je1YP/4PXw5bRcOUeSjoswm1+CUqYYsLHxYlIXZ7cLsdjG94hyaJH8i4vyoLjfx7pO7uHC8iLVvHOHxjyfwt4/GM+HpAYRE6vEKUV87hAZIkf9qSrdbvIKyWpG+ExJZs+inBoMY4Js3DlGYW0v1kJGEPzKFhL6x7PumUfyvttLC8c8Os/AOM9t/mI3L5YluOHr2dXQdP+fZzydhD4+ky8wbeWjpBFp2bkG42sZJWzm99AFsqWz6Tn2vOJNbfcOoDanGqUzBqttPUJSEj1/cT+bpEibO7I4+UM34R3tAjJoyh+cbMMY3hIiSLrT76StuqP6eW3qup6ygnnUfHmrS/ukDeVw6W8aDGSc5XFuOw918kuB/meioXlyy1zcYxOCR7vukOAerw8Xy4ZvRiFJqL9Tw3RMHGwxigA3vHcdtd6ENz6JM/hkAFtlJamzFbDxgYtmWOuatrsFsFQkPlHEx186A9go2PrmBlU98x87153/dHS9erl1sJpD/A6PYqz7t5TrC6ym+CkXZNZw5mM/IWYN557CGHv5upshb8MOzP3HbltFQxVUHIQ5RJCerjG5j4hA7+nHH2hFkfpvDsW8yuJBcxNshFsodNrZSTE8ff1ZpdTiobNZOVW0uQ25px+rXDmMy2pDJobrMxLGd2cxfO5GT+3M5sTsHS62DJ98eRZveIc3aAPDziyQwIA5DUGuUmgDy0rZjMlfhawj/f12XitNOvh9Vg+uKDe9bqOXel27koxe3cOlUCXbbX0f8xWUVEa9i/zot134NSb8gLbOXjmL8jK5Ul5qJjPcnKFzXIM7WdWA0NSdSWTOrHSZRzrQRWlbvNCGKcGMPFf3aFLBji2fgZrHWkn/5FD26TiEivBNZ/gUczNfwxgd1gJ1BfYoJ4NfKkiJlpmK+ORTGh7MNLNtoonuCitG9NAgSke7xcrYcMWM0ea61SiHQSlHL4ewaassbBWti2wVxMbmoyYC0ttJCcfIlUttpSTDKsFmcBIXrELRScj7NxFht5aZ5vTH4qikvbi4cZnY7eS6qDTJBQqXDxtKiLEpya9mzodEAmvDsEAr9Y3lwg5OYEB+mDI6mW2wc8fJqwmL/nDreXv51autdLNtq5LXpfry3yUh+mYs+iUoeHKvjnsUVrJ0hUFFc32y//Lx6+nQI4OwlG8X5xmbrM04WUVfTrtnyC+nfo7XeDDd0QpVayYuTd9CmXywtRvchrJsBp7a5YJtTFNFYBSpk9Thk6ZilbroMH0xVscCBzekNqsc/b8+i+40tee7VRNQSCcOkESTffuU9KmiJzO9N+IxitIbtDB3UmsqKek7sy/JE6JS72eRXyOrSXHa170c/v6t/B/4XCdInYnE1f9cX2y0ExOu4ffkQ1rx4kMffHs66N4422y4vo5KApMKG3yJ22iYeQa8ZQkXtFa0QGcwY48OhsxaCi3NJTfZMkp/YncO9c29AKvX6HLxc+4h2E/wjT7HSB8ze8Gkv1wdeo/gqKNRSbn2yHx9f8uenVCd33K5HbVYR+0QXvnaX8lBoHHbRzf+xd97hUVVbH37P9JqZyaT3BgRIIPTeESmCYAERsCJ6LVhQVOQqKjbsXUFRLxZAVFRAQXpvoYeSAum9T6/n+2MwIYJ6i3z3inmfh4eZOXufOWXnzF57rfVbZpmCGm/zhD5NE0R87wi0fc08WXGaYzGNDH8wgvHdQwk1GWjwNk/EREHEEW1ASQwuis/5dgl+SzjBkS3zbZe8EBDbKnBauH7FeMxbJDRul1H8joJ2vcUL1pDT6kLpedNXvFCSR5Xfx+ROExkr9RMZef7E75+hZJMbnwsEGUS/D1/Fn2abWMXA9ztxf20/4toG/1v7vRgogwXCesuo3N1sGavMAsY2l8aQN0fo6Tuq5RiZOrsv9VV2CrNreOfRDag0W3luxbX0Faq5em4bkILLupwfv3u45c5EqLX42H/CiccfzBtfB1Ryrx+mxaCMREEYbpqjAARktE+MJeO2ap71HCX1JgMp9kRef9vO4tvlnNl/gm/npnLghAun3YPGWsvyOWsBCD0nmsEUpkGikjD188uxBkvR2kSOLjpB2ekafKKejLgwvjOqqC61kObSsPJIDaNm9+C7y0TqGyqZEBLNV9XNE1e5IFDjcfNsYUDNPVWj5+6oFPQyFVKpgM8n0q5HNEekcSxdEzCoy2p8HMx188hkA/VBOmSt+cT/82QXe1myzs43agcTB2uJCJZyONeN4HDwUFopJzZYiUk2UZzX7L0QBDBEGFh1yMHInhoU1eencaQPSkRQny+SZDLGoNObkdhEFtzwLQDxo7oze6mLmRo98QMt5/0WdFTrkVd6GJiix0EBYf7bqA4LJr6djfXLslrsf/+Pp5k9PpVPX9iGdHAqGfd3pHSJgoxZGgp/cCPLjeHR22+g7DsJijA/41/tx6L316CtMTJJHstC32k+KTpF9JFtRHQagLrVOKbCGYWnsh4JcO7y9ZSweN6vPM2OtFpmP9MHl91LavdwTu6vaNFfpZFjrzBDQvNn3oiH+MezH3L0YDtcbgUJkTIU7lp8323m853NpRYHX5XaahC3cungsv6mp1hQ6vE7Wj3FrVwatD65L4DfJ2JsE8mOs6G2p49LaG8MR+hr4rv6Mqo8Tnrpg1nUphtzYtsxN649j8a04/qwOK4r2M/fzhxiXEgUCUoN613V2IaaMHWKACBIKiNNE0S/oBAGHsoixvUWCgKTGClaTAXPYy+LQpMUhUanQKNT4HWLNNY5kcokWOMVTK7bTU2KQOka8HnFn0u6nscBSx0Tsg+yw9ZAtsPKkzU17NHGoPgtJcHfQDw7u4i8R8KDsQdY4iwg32XnH9ZiFhhLcWp+fzjZynxYCn34vRfXY3v6KxcxQxQkX61EEyEhZpicYf8IQh9/6Ro9Y2/JQCaXsGN1DqIIPS9L4pPndyDzeanLPMU7132Ct76lB02p1BNm7sjOY06O5HvZddyNKEKUWUqoUcr1T8hQlL2P/GyOnBQ9wb43ea7ExceWXM44bfxgK+VF2T7eeVjK89csQWYRmd37bUylp8ldsp7PH/4eRJj85OXUas206xmIVKgusxLzaEdmRRXxuCqfL6Mb6PF0N8bc046xZi2PeHK47sPh6E1qjn2Ww4DrO6AfFMpBTyNr6sq4KTyBmVEp3B/dhmcT0vi0XS8Wlp9uOreTdgsmuQJLtIxprwzi7tc7MnW+if6dSuh8jgC70y3i9Yl8scmOx9MahvrfxuPx0VjnaNIr+CXiWbUjq0Nk8Q9Wnv2sgUabl3BPLWJdPT8tP841d/doKlGmVMu46YXRPLNaQv90NbMX1hHTIZyrZw1AKgs8sxI7hpIxuQ+nKsLp0edpJJLAc0KtMtBl7ALeyhAQStx4PX6S0sLYekaOSiEQGQFGqZyFbboxIMiMRiLlMmM4s2PbEZloJEmiJqTgDSjvQJBejkR64Rj96hIrpWfqWfHRbr7buZn+i1Qce99BY74Paw6cfFWkIc9H1S6RvHlqHn/lKryn5UgI7M8nipz67j3ObFrWdH3+yuSUeFmxzM/7Ub3J0BqZHpHIx227M8wYRrJGz5jgSBrS1SR0kXD726FExAcW6xRKKdNm92Xbd6dYucCCseIhBAIpKCoSCFGHU3rsOnL2duGnb9Px2nYREqWjQ88ohk/qyNhbOjNoQup/89RbaeWPxW0DmfLXt6v0rZ7iVi4ZLg232R/MmePVFJR70WsisdhFNEqB/O8KEa/WI9ighz6Yv+UcYE5ce1bWlFLgtNNTH8zI4AgkAvhEeLU4h3uiU1hQdIpt8gaGJsRwv7UNNp+PHnoTLxedwub3sXWDAffJ+UR18GCpVPLa00XAdvo+MZEbHh9M27RgPn1hF227RTD4se48pynD74HDpjoSjKF0vE2DILnwRGufpRbfLyzmN0pymRIWR6jiN8JhfoXoIQoOvGDH0sVFrrulcXXE3kCe00qo4sIPT7fFz5nvXOz9uw23RaTDbWrS71Sji/njjVR7hY+jbzlwVImYOkiJGa6gMc9HfY6PqP6/3//PikIpY+t32U3vgyN0HNpWSG2FjWvu6s7dC4ZTVlTK6MGvk1u8kpCQODp274JNrOdUoYeyWj+bDjqYPFSHXAbLN9totIn8dLgDCskiYtVWatxaPP5oPqtsmTdX7XGTVV9KY52TxhoHSrWM9+ZuZPikjtz+9BAKGuU8uFykeIuPSZeNYML1TtIGaZlWvRedVMZzzkSy3jjB2sMncE1qT/erk9hnqyMv3MYt3w6mR62WnK3FqIaawALTIxJ5rSSH3kFmFpXl4Rb9TA1LYJgxnI8r8lsc25sVuTzdo4ZNK2fiK/QgCBJmjX6Wl1aP5MiZwN+OVCKQFCVDLm9dJ/xvknO4gqWv7ubIziIGTUhl3K1dzhM+axMjZ1hXFRsOBATd7houIbLkGPOuz0SjV3DVHd3Z9UMuA8a1Ja1PDNroEG5e5EMhF8iv8PDWzGCqHQKf1yZz7SsJpEbAyQYl8jAdry9rRCqM48V7+5DnKqRGaeIOi41giQNjUGAxsb7KTozBz73TFbyhyaQm141aIqGfIYQ3UrpQ7LRx1N7IPWWH8IoitxtjSTz6HW1CO5IxYBBpvaObwqcBugyJp8MAJYIQyMPfuyGP00NrSb4qGJVZwqGXWmoj+D1QfbwG0xQfy71FCMDVmiAai3PIXvUBiYMnoQ7+a3uLTTopWad9lOzR8/DQVB4rOsqH5WcYZgxjsCGUEpcdc5gOqToPu+FvPLrtZjynh5K/R8vKRQeblPErxwQze/lqsmpcnMyLwG4LRmr4gt5dytCqtXywIYzrrhE4+OV+Tu4vZcg1HeBXFnNaaeVPye8ZxcogsNchiheOWGyllT8TrUbxBVAopeTtOM6TM9vxwBsNhAg2Fj2zkUkdR9AtxsSm+iqmRyZysLqAB8V6fLZ8pLIYciwCE0Nj+ayyEIff17SKPyAohLlFR9lnbQ4xeSmpE4/nZyGv8fPeYydbfL8gQL94Lwezbei18dwy80oseX4MCV5Wx/pxiw0okaP7MoiQTueXf/DY/TSe8dHbHsIwZTgbXM2hYQapDFeDG0L/daM4tKuMMauNHPbXwQXydZW/oTxdlell653NhvSxtx3oeoPf6EUuSEhRa1FI/hgDWSIXkAdJcFT5qDse+AeQevO/fs5/JpQaOR17RFFwMqAEmbkxnwHj2rLqo8O8fM+PCAK07RLBvYvakTSiCw4xH62kmgrnD8hli1ApBI6c9pCRoqRvRyXbj7ooq/FR1yDyWbGFeq8KgNkGAAAgAElEQVQHcPNwbBhyQcDzC49UqFbNde8OJa5HBNdHqag4UsuwaztQU1KBuU0qtY0NiCIs3ellmSDjq9ECC4zxdGuUM3vsGiz1ASPn02d3UnyylglzovjGWs5htY2qV7I4uqWQ2/uNpXOsgX2WWoYbw1A0FPG8uxi8btx2JVVB8S1CWWWCwHVqGduWPdQkniSKfvbumsP0EV2Z+X44HeLl1Nt8DL0MSl0OopT/XiRFK/8Z5YUNPDDm86Z84M9e2sWpg2U8v2IiGr2CPIeVBp+XGKWad+8zs3KHnZ1ZTto5slnyzl66Do4nY0A8AJdN6sj8W78nNCWMqBQ9hVU1RJml9EpVUl7rx+7yc6zQx5F8eHiyga+22njyJjDqJOw4BjtqI3hGKGwSkJkpRpNfWM2URwfw2XPbGKVrpC5ezQylmqSGSvz2GtBK+KzEwYSIJOblHWo6r1drq3mm3Rh+Wn4LN133LXe8ezl7lp7k6M5iel6WRI/LU/CnvEr/8R3Z+X0xl03uiCLOiy2/gdjuIaTfo8ZVI5KzzImzOvA3J1WKVId66OM2M9IUTsi+dchufRpRa8Aql/NXH8Gdk+UM7aqibTcf03L34BVF1BIpIwQ3cUXbSfLYSYzpRmNdOQmqD/HoPCgyZASbIvjgyWZxruikEIqzw7nxDZFQo4T7r5HSaAvnaEkEC5Y28PcrJSy+azkNZ+tjL3lhB0XZNTz+jytRa1rrFbfy50d0WhBkv1GSSa4CQQJuO/yHpT5baeW/Tatb5AJEJ5roOyoFX9tKltwlRy8EciM3zdnNLCEOEZFoqYy+Z9ayd/ltZK5/hr1f/Y3QzMUMUQdKZEQpVNR73XTQ6OmlN7cwiCGggvlcbDoxYWYkv/D09h6ZwtrF++gzIon6VRoO3OhGE+lCSFxIgW44ZfqrKNFfhrt9JjJVy77WYh/b77Pydd96Mod7+Nv7HZgtaw7nmuVtT9lCcNb966JYgkQgopec3j1MTAyJabHtpvB42qp/ve5w+c6WYjTRr8CDUQfoeXAD3Q+s5/H8LKrczn/5mC6EKlhCz3ktS5WowyWEdr2014BkMgmT7uuFKTRw7oXZNcSkBDP+9kBYtTlCx9UPRWFIyaZW3IRGSEAUQZY/jtQ4OWa9BHOQhH+ss/LYh3XcMS5wP79c5eF2dfMY+r6mjOkRiS2+e3pIPIVhfuZ2qORa6yE+6O+gw41t+WHJYYyhOkzeRr64X82j12q4Z6yab/5uoKO+ntSQORTnHmsyiH9myzcnmW4JRyOREu5XUHNWGGn5HRt5xBNHmFxFO2c1JSums3fVI+z98XGOfj6VDpYCBhpCiFSoeDExna+qSjB7HbhcLSMbRNFPckQdr95j5LHpOow9Gpnl3MWWhqo/+ra08k9ScKr6PIGs/RvyKcyr5R8VBfQ4uIG+hzYy5PBm6vVWHrjWwOKZQWxaeoSr7uiGNkjJ4qe3svjprez8IZebH+vP4JEJtI+RMO0yLSXVPpwekYo6Hz/sdTB1eKCu+tdbbYzqqaa02s81AzUIAuQdktFD1eyhljX6cIbLSe4ZzhNLJiCvq6a/2QZrH2Pvt/ez/6f57P98Gne6y8m0nJ9ft8oDUdGdKNtdRfUKNZ0ndaDvFW0wR+pwWZyUrbiBKff15m/PDCHnUAVP3/MVUoOfDTdY2f+UnezPnXS6V4M2SoImUkJkWhSLPY6AcJStkTVJHblKo+NKv5eJeUc4ZT9fSOyvREyonDlT1NSprHjPLt7NN+qp+vp2Nn87i61r/s6SD8Yi8aqpUr5Ckfom8pQTcMS/z7NrRnPzYwO4bd4gRL/ITx/uoW97GQ9eq2f3cRf905UsWh0wnINcDU0G8c9s/uYkZWfqzzumVlr5U+K2/Lb6NIDaCK1lmVq5BLi0rYR/E0uDk08X7OKWiVdTsecEh7Jr6dgrmqw9Jbw1YAW37LiKSHcN3+9a1KJf9pGvGd/jRpJVWuYnpJHtsNAvKITj9l+q90Kt100HuR6dTMHfPxzPO3PXU11qodflyaT3jmHhE5sZd1M3Tr4fEAQyjsimUPViU38PdRTKZ6Fs+JYgl5n6HC9IoPaYl9xlzaq85St8jOkRi7yHQMc6E97H5Rw64CKil5LY4f+eZ9Ygk/NCUifGmSM5aKklXaWmu1qDWvj1NRZtTPM2XbKEnzoVs9kRMEB8iLxakkO/oBDGhkThFf1k2y2UuB1EKNS0U+v+ZS9y7GVKxqySULbdgzpMILK/4pIR2fot2mZEsGjnLeSfqEKmkJLQ0UC5aS5DH2wLympsoa9xmgbaSJ7BJp7Ae3wy80buYdxrFpKjdbx7v5nj+W7sLpHYUCnLHw9hz0k3bRu1LE3sza6GSqIEJZ09OjooFWTJ7CQKamKUOqaUNNf9rfa6kUgEOg2Ox+qRse6jQ6z5+DDGEA0pXSMIHzkYu2oDDtlO5KobzjsPhVJG/uYS5oWHIk9QIZ/emcWPbaGu0sYrA5bzYOb1uCs3Yj+nFITP5yF/74c8PnohPr8MuctLg9lLqN+JVmvGZmtWepdKFVSHanhE2IjXKzZFPuxsqGZyWNzFu0Gt/Cpy5fl/n1KpgF3iZ0ZO89jKc9q4M/cAa9IGoNPIadslHLVWwbazqQMxKcEkdgjkifq8frI25tJXK6HvzFikUgG9RmD/KTfx4TLm3WikoMJLRrICpUJAKYdP54RwMMfNOFknggwWqo7WILP6CUvQ4knR8OOcnexccYpnBraluuJEi+Pdu+4pRk76kk9+cR4pUgGnox6ZPYKc133EdpHRcVQyK+ftxDC1Awuf38Sgse3pek97hg02EWXQ4RAV6Pu7SW3Q4PhKIPNZG4Pe0eNuFGk4IvJUSirqYDkNOX5sqkb662CQUqStpY6qU5nEpXRBrf9rqqlbvB6qVTakkoBBrJFIMVUeJ8favOjl9/vYtfcf9Gsf3DQTqlW+T2TKYD4avL+pXXw7M3NmaTlQBN/tdHCy0MPCWWayizzE+Nz8ErlC2irY18olg+i0IJh+R0RVZUC01yIEx///HFQrrVwkLn0r4d+gqtRCYu9IhFov7btF8s27mdzwSD+MIRr2rT/NiZeOkfr3METxAqI8Hie3RSZyc/Y+nGfLNn0c3ZUXrAn47T5qoyS87S/mEWMKdVvK+e7z40QnBXP/a5dzOquK/RvOsPCJzcjkElxySZO4lUd6fm1hp+Q4Lm8taydJqTrgI6ynDJn6/JyOmtV+eqyPovgnDz+rctUe8xE7/N+/RiGCiPnEt8i2vcVeaxWZEjm33LCEDqkjLtg+sp+coGQJjXl+dANgLWXntdllqeEKcyQrq0u46dQ+PKKIFIG3UrowNTwexW+EZ/8SmVogaoCCqAF/vRC26CQT0UkmAGz+HKq8S6GlYx+JKMct1nFkfQM1FTasJwp4fU0kNicEBwnUWUTiwmR4vSL9e0qY6dzOogPJ5D+8k73FjSxzeBk5LR2jT8SQGkL5dc1h/BJgfkM8r1y5Aq/Hz23zBrHm48MADLi7M6dH6lhEGbcpAnWVTR2P0rZrFNkHmsU6xk3vwrrPj1GUU0unYfF0eDqD6+f04tu3DqE3qjAWeKjyn+/VtTeU8cS7Dbhdap65xsB8xwmMMjnfT3yfb5ffgdVWjVplYMSEV9itCsYrttxHz6D/HQX1vxpJHULpMSyRfRvONH028d5eVIYL8AvH50FrPRUeJ8GaIG6ZO4BX7g2om0cmGBk1NZ3F87fh8/qRyiTMeGowm784yrhbMiir9mJK70hqnJyvttr5ZrudmBApXdsouPftWpY8HMzqx5YTk2ImuX0Xnrt9FYWnAuMyOS0U7dJudBkdz84Vp6gvP98jbHfUEdboJUyubKo9bJDKGSnaiR44m9xJEYCI75iE3IgaRo/thQLQGpQse2s3sgmhHIrwUOKsZn19QPE9Sqli0fiepAWrcfn81J/wkf2Zi26Patg+34bXDqDi8VnpiIp5lB5cSSlAz5F0vflJNMERf+h9+jNwMMdDntTKdn8Nl5vCybTW4bmAQm6jpQLBF9lyJqQqb9Fm4MR09uaDQStBoxLILvZy7bwq+nZQ8OK1Wjr2CCdrX3OK0o2P9iM62XSRzqyVVv6fcVlA8dsJGYI6CGytUVat/PlpNYovgEanpOP0duTWNrL9vs089uFYCvPr6DO2DdfO7MnONTnYS9X0vnEFpcgI8jlRFu2h8Pj3bEaJzOdr0tq4XhrJ4acPEiSXExKhJ/iUjFUjupC9pZzn71zX9J3fLz7AtNn9OLQtUNrhxnlphLa1UtNbi9cKCl/secep9nVGrDNRdSAQCq2MthM+9TSKyUVovDFUr0iicrOS0O4ysj9rWdM1KOmfW8murMqltCwLiURKdFQ65rMrgeUVJ/l29dymdn6/j8+X38msmZsxGWPO248hWcbolUZqjnjxq/z01pnJc9qIVKiYEZmE2+8nRa0jy97AjOzMpnxVHyJ35x6kZ1AwaVrDefv9K1Jyuo7S/HqCjCriU0NQac7PK/8ZmWDExECCpQPxi04EQYlNPIlCiCROuJ1tlYFw1a+fWcf0x4YT3CMVu0dCbKgUlQpqpA4W+I8yRRvDx/O2UpTTbLj+uOQo97w4nJAIHe5z1h4Gq0PYMf8Q3rNKzj//Hxqtp3aEgSXOQmL9au6KGArqdTSGv8OdXzxK4faOlJ9S0C4jgZ2rcgIG8fB40v+ewYPuHFbeH8OCUWP48aPTPHPDt8xZ2gt4B5UqiB5jX6RGF4lcbeYGtx5fpZIqwc/dkclsr68AUyKyqz+grcdCg1xLWWgKV+lNfFlTynF7IBRytCmCQYawP/hutfLPYgzRMOeDsRzeXkje0Uo69oqmU99YspSO89rGKTWYpIFBl5wWTsaAOA5sLuDy69P45Lnt+LyBMefz+vlg3hYefm8MH8zbQnlhA2PucvHizd0pqhVBIhAbJqOi1sM/7tOxccEPZO0p5fjeUjr3i20yiAEkUgkNLjeH20u5+cnu+GwOuo34O7bwTjglcsKcNeiqDxISnctKRTc2OfzoBEiUgMLnplo0EvlqA4rcIPS9qnCoTmKPtKFPzKD3e33JqHcTH24gVVJKjreWdsZgFjbUUep28oE+j9lhaXgjfahDJSRfo+ToO46zBnGA4y97GfrpTEwpSVgr8inY+jXx/a5E03v0xb1x/2NYHT4+WWWl73ho9HrpozdzY3gCjTFt6JQ8BF1dPpmrH8HlstK779VYlItb9Jf7o9HoK3E5vIy+OYP4K+PJkKkoqvLy+WMhlNd4sZU3YPTWkp/l4OaFI6jYXUrZaRud+8eT1iemtSRTK5cOLiv8Rk4xACojorU1fLqVPz8XzSgWBGG2KIoLzr6+VhTFL8/Z9qwoinMu1nf/pzjtbsQ0FQd99YSnmChqtLJ8qI9DrlLCJDXcfH0Ux8OV3JufT4ZKw70KLyDSvceNFAp+1tvqeTYhjUqviw7ZEDRYwyfPbafbkERCovSU7qkgPkyPzqDE2hAwVh02D1qDggc/6IEpoQFl5yVIgzqT/q2JRu9BZLabCHfNo1I5HxEvSiKJcb2MbZsOhdFOcIYPx2VL+Hjdc03nMWTSXGL1N6Lu4sBkrCY010TVDzIyHtKgDhdwVPtRh/z6j3dxyWHeWjgOhyOQH2UyxnLH9K+ICGtHfcP5nl6LtQqrreaCRjGAPk6KPi5gjN9nbcNWSxX3RbdlzpmjuM66xLvpTNwQnsC7ZXlN/XyIlLudrUYxcHRnEQ+OW0pjXSAH98ZH+zH1ob7oDBfO+VEKoURJp5Hlu52fK3aahcsIErpSX6Sl++BqPn8xE59P5Munf0Jv2sYTn47GWe1geZKfyyIbeEGzDbWkAtdHA1j6eCR7VpcRZFJha3Sh0kopyipgZMgxJoV2ZZnVQqgop6qgOWVAFEXUWjnpYxL5ShIIYS5yOyh19MIkuxyrfC2WuGeJmziCds6ncBJCnwEm2jySxnJ7KZ84c0hUqYgRlFSXC8SmBBPbJpjPnirntheXIDUoycrfjbquEHdUFx6yF3OrpzOaai2jguIZo6tBJpHyfF3AwOmtl/BxUAiJai0/pg0k22FBLpHQTq3DJP8Nlc1WLjoRcQYirk9v8Vm6V8790W14tSQHAJVEwnttuhKhbB7zI65LY+NXgVBmt6ulXoLH7UMqE6itCCwAndmbT1V2OXt/CpTv6n9FGyqKGsk53Oztk8ok1Fe3VH2WG+VcERLDtDP7WX1nCAZPMLcX6ciqDyyqTNIZuCOyG1kHthIc6qB9RAr6kCwUsl3o6IXiSCceHLeJDn2imZwaxvdf34ggSAgOjiPuipe439lIJ2s1j/lrSLFVEu91Mi28MyUk8ZKnFKvcS7XZRoJoRBctwVZ8fqRSQ14DZ/a/TUiHXiQMuobG4px/6z78mWm0iwzvqsHo9tFbH4xCImFh0QlukjhwFu3DpzUzceqnFJQcpl3qQPLF5SDUABJC3fchVSgYtW4kvWUGtJq9ELceka0k6dtzZmMbFs/IQhRBG6Tk/jUTGNqQSfsuepZd04V2waH/7dNvpZU/FpcVQaH57TYqPVgr/3+Op5VWLiIX01N8HbDg7OtHgS/P2TYS+J81ikOj9Ih+gZQQAwNeHoTdJGFDaSCnrQY35dGRLCo6gUoi4SGJlW2fTW/qq9UEc+u0L3iw/DSnnTZujo2na5mPfqPbsn9TPrlHAhMvbZCS2+YN4rUHmr3ForoM45Tb8OMhlJep9C/GLskCBVQrviLB+RKJdZtw04C0NobTrxmJu0Kgze1KtLFeioQgBEFoqlO5+fCzXHV9d+64cgd+v0invjHMfGM0mXfacdWJGFKk9H9VhzldhtIkwWKtoqBwP6VlWcTGdOXw0ZVNBjFAXX0RWSfWEhHWjuDgOARB0iKE3GSMRfIbecXn0klnZF36QKad3NtkEANkWusYa45EoLn8slKQENOqCExDjZ3n71jVZBADfPLcDnpelkzXQRfO5XH6y8nxzeVngxjAWafhqyU5LH5yN/GpITzy/hiqqgvod4MTWUgOKukuZBh51BfNaW7FTiN2gA7LuPXdl+m5dDilZ+oxhmqIS5eQnhFH6N4XeTUilRmRkTjlOkpuy+C92RsBWLnwALfPH8LJrAoSBBVnsAEwPuc082MeZozxfhx+LwdtQdgkUt4s3UuRy0E/fTCz4toy2K2lt1TN6+O20lgtktY7mq6DE9ixJhdBUPDpJ9c1jUOlUsdDkz7iiK6SM+vDiY/S0i5YiUQXwuq0/sgFCe01esLOliQLV6oIV17aquR/dgwyBY/FteeqkGhqPG4S1Vra/ULULz41hDfXTaUop5blb+7Fbgnkesa2CebK6V2oKGpkyuy+SASBlQsP0GVQfJNRnH2ogn5jUloYxV6Pn5T0sKYySTK5hC5PdmNBZQ4vJKbzSUUtI4KNZDmKAeig0jKsdDvLtrzWtI+4+C4Mub4jNnkm9RxE1jGS8ffcyMo38ziyPoIRPZ/GVDcAd3EQQUdhVhs7L9uzaWzTnjayEtSlHajOyiRGfoJPogfRGC+hHgGFXsBW4qf3s1ryV7lbiBia2gUhC78Vv9tFcJsuANTkHMKUnN5Ue/lSx+YUya/wsmujyJOzw1lUcYbbvFVsW/G3pjbHdaGMvelLaspDiPV9gVdVilSQYxF8LCj38LErlzsM0cyI20WZ9KNAp6iVxEzuyLMRC3h07Ea6XpbIq/Ji8MIJp4Wf6qtbjeJWLjlElxXkvxM+rTIgWlvDp1v583MxjWLhV15f6P35nQVBCuwHSkRRvOKPPLDfo/OAWI5W1vFN9WlectpYFN61xfZ4qQqLz8tEQzC56+e22Gaz1+IrO0KhEIpfFEn21jOifTWaaCfpycG8+JSF+mo7tkYXu37MpXP/WA5vL0KtlZPQ3YUFDyqxLw2+EOyyrBb7zlfNJnLrJnZOaYc2WkKH2+RsnNqs1mpMu4qBtzew5djzQEBh1+ao46HHr0JA4HhOPjmHqnHVBUJEG3J9bH/ASvtbVSROkLJ+76ts3v42AKlth2E/m4NlNiXQK/F+5F4jKm9AkSgirB1TJr7L8q/vx+2xE6QPZ8jAu3hv8TXcfvOXxER3+t3rrJZIOe20nfe5SiIlUq6i1OMkSCrjg7bdf1PZ+q9CY62D01nnhyhVFf+60qwPK26aJ/sCUup3j+ft2dsAOJlZxtZVh7l56WFKJB//3IlQYRwGSQ98/pb7bgx9g5LSR/n63YAHqvvOaG56Kh1/n3vQfzqFnhoTG8M/pK4Eps7tx7dvZaLSyLGYBIQZsdwZGcruM/WkKZU8KfcRV5qJwhrJWz4lUaZgXsg/hvusgbvDUovNc4Jn6mLJO1LDsZ2Bcx96TXuqq0qZ/VF7dh54pcXCjMtlRVmyH0vccK6Lr2LfO3uRDI+m13AYHvHXrt36Z0Yvk9MzyPybbUIi9YRE6pn/xdXMm/YNNouba+7qwesPrMN/Np/FGKLh6ju7Y6lzMmh8O7asPEVlcSMpncLpPiyB/RvyAbji5gwUvYK59fPR/Pj4buLam1mpr+WopYE5Z47Rz2CmwBnwSMsFgSeCtGz9+u0Wx1NYcBDfmbvI/HIgPrdIv3HhTL/RxrU9jFhlLvwNV7HvISWCFKIGypl4TTj7U+sodDcy2BrNvgWz8J3NS5Yq3qPnvV+gXB7Prlean5ldH9HQeNqHq95P72eVWGpXU3l8J7bKInJ++IhuM54n84PH6D7jeYKTW3rgL1WcLj9ut8hNt0g50VDCdTIfWze/3KKNxVqFq/AAHltXfnqnDOutkRSobEzzWbm3sYSb1UbkRh9l0paSaXZpFtrwIqY92g/x8hBedzR74nMv8FvWSit/etxWkLf0FPt9PkTRj1R2NnVLZUC0VFygcyut/Lm4mEax+CuvL/T+QtwLnACC/rAj+ifxeUVO+Wzknf2Rq8KFTirD6vPSQ2cisQj660ykKhS4XJbz+tc4GpBpw3nRqGfqDw8gqwzUIe4vVxP21mJmTA6EXxVm13LlbRkkpYYz9Nr2BKms+D29sfuvp97rRnXe3fGji4f+r+tQhwtsntGyfEn9MSntPUOAgFGs14USakvj4EsB0Y82nUJJvNLPuet5DTk+XNUilQedbNnxTtPnBUWZ9O11E4JHSS/e4NR9JnwOMLSVULPYizldQZfOV+Ny22hoKMXpsrB67TO4XBayTqz9p4ziMIWKyaGxvH1OqDRAd52JLRlDKHM7CJUrSVLrfndffwWMoRpSu0VyMrNl6HpEwq+HlauESMzCcGrE9QCoScZu13Lve+ns/6Gend8VMfQmHeU/G8RnqRZ/wCB0PW9/frzIFc1rWvvXl3Ddg2lIdQ24r3qTAlVH3hy9g9oKGx16RPLIsivJjfAzpzGbBruH+T41CxO7cFn+RrRL72jaz5MZk9g28KEmg/hnDjkbOFaioV14YAxExBtIzJDhKF3G3iNK7I7zS5/I7TVMEoKYP/MrvB4/65YcZtLMau58fhiKcxSORVFkr6WWzyoLqfW4uSE8nn5BIWhlrVIL/4t43D6O7S5m9ceHEREZc2MG6X1ikCtaekD7jErho/23Yalz8MrMH5sMYoD6ajs6g4oRkztijtBzy9w6bD4vbiWMj9Yw+b6e1FbYcDncvFWdx+rociYu6cbUsCSONQSe4z5Esu0WHgyOQy4ILDabCKo43FQH+1xKcxwsW1AAwNdv5PLGxx1JP/ggAI5BH1E1bgz6+/ysl5bxnlDLBH00HZVSSr9d0WQQA/jcTsozv0UZdh9BH7nQuGQYjgYM6qEfqVCRh1/cxwm3SJ5LTnT3kcR79eRvXUHSI4MoUr6E6LsZo6QPUuHSThGICZXRub2UCPLY8OX9SOJ7XfB3uqGxiMKCTcSl3YTarWWaK5O4r+9q2u7PuJa8caMoU61u0c/pcBHfNYyJQnaLmcwgnYnivT8S1rEPitZUn1YuFVzWFiWZRL+fDe8+gb2umpEPLECpDQKNCSqyfmMnrbTy5+BiqkF0FgShURAEC9Dp7Ouf3//mkrUgCDHAGOCDi3h8v0pDjR2XEJicqyQSylxOvozuzgqzkTsL1iJ1reMBuYvRSildOk9o0VcikWKM6kyaQsUk0Yai0wQkfW4DmRI8DhLKP6TX0GgAulzThi63t2fCrV3Y/OVJZnT7nh/vvg3R1pccezhKsWVIbAhXYDmh5dDLdmRqP17r+WsLMjHgUY2KSOe6y5dw7NFmNd26IyLW/Sr08RISJkoZcqSeoScqMQ5z46gQm8KuARyOeqzWKkakvsbxJwMGMUBDtp8dsyy4Gv2Ioo99mZ+zbuNLbN3xPh6PnSB9BFJdGA2e8yeIv0QqCNwdncKU0DgkgFmm4MO23emmNxGn0tAryNxqEJ+D3qhm9jujCY0O3GOpTMI9C4bTpvOve0ClgpY20meIECYTJbmJBOkszBOeJOTGm7j642946vsMZGrvef1EPKiEOCS0DC1Wl9zK2sXFLRvXeRDXzOWU10nWyW1Yz9YcPr6vjJemfk+4Tcq7yV3YnNCPtD1e+pTXobeXIxn+KJLe00GmxHBoGSMcxfzQLpme+mblVqNMjqfazfF9pXToGcVjn3VCGXaCM0VbyM3bTue0secde0hwPDpXLp1GNddSXvH2PkryWqrPZlrrGH5kK++XnebL6mLGZu1gY31rXtR/E5/HhctS1+JZ9DPHdhdz19B/sPqTw6z55Ah3D/sHR3cWXXA/UQlGIhOM1FXZz9vmtLuJaxuCNkhJRLqZfVILL1z9DUq/h9njv+SZ6avZ8HU2pW4nNr+Pj5wlHJbbuf6cUl3vqRIhaw8bUtI5s/bvnDy1ntS2w1p8j1ZrJiRWwqOfdiA8Vo/fL/LNShdCt6kAqPfNotNDlczw7ONpy3E2WCqYXXqEz2qrCUq/DIksICQmU+uI6nYNuohU1GMrKE0v4Za4XVd4NO0AACAASURBVKy7rojThxz8MMFOwVYTmVV1fPnDExw/+RM/7XqbzUXfE9H/CgyOvogSD4d812LxH8YrXjiyxOO0474E6hub9FJSExpZ//VMKitOknVyLV0zrm7RRiKRoVLpyT7zPXJDCSkSiNv2GpIhs5AMeyTwf942oksHteinEuMJUaZhUmuYqopCLgjopTKeiWhP1KH11J05RkVDLZZL4Dq20oooiuC2t/AUlxzPBBFCE1PJ3fkTAILaBJbW385W/vxcNJeIKIr/SQLTa8Bs4L8SM1tbYSfOpKSXzsTYkGiUFR6EqmNs2XYDHq+TMaOeRG5OJvv0Nuw1+Vw2ZBZHj69GozaRkT4Ot8rEF4VrUG96Ab/fB8EJSEfPx/f9wygsucQlqpBMTMUzLoTVNZVMqJUyZnwso6/oysnsMhJywxEOGGl7w5vU6JZjFU9iFHoi4sPbexU+51RcFi/JExXkLm2ukyjTgCXdxI0ZO/DtNFH9mQ6PtXl7SHcRY/dKEmYoaTCvo1j1FF4a0BvGENFuHtH1nSgpPdLUPjt3C92SFgAt1V8r9nhxVvkxJKsY0Pd28gv30zv1blKMUyhor2WeIxfLkU3MimnLFcGRBP+GeFGSWse7bboyJ749aomEaOXvCDr8xWnfPYoPd99KWX49OoOSuLbm362JKUWNWkhCI8Rx0vcAPiEQAWFTbUE9qAbX5qdQkYqdk019VMRjF0+TLv2YMv9S3FQQLF7P+uVG6qsPNbUzmNXE+nZhvekN1q58mdDgNB5692+U5DZijNRS10uHzeWl6t0c9p6q4eobUggrW4l/y4vg90FwItJRT+Nb9TCi+yTxwQdYGtSH94riWFBeyEPEs/m1jVx3fy8GTFLx5Zqp9O19CwBujx0BgdGXz+Xwke+QyRV06TSePfs/J7zdCDq/MpXCfRVUl1nx+UT8vpZe6HV1Fed5pl8qPsUwUxgaaau3+P+bmrzDnFz5DvX5WcT3n0DCkGvRnWOIfvfhQc61lUURvv3gABkD46ivL0aQSDEZo5u2B5nUTJrZk5fu+bHpM0GALgObFxtzHFbceVaS2oeSfagKiVSCz+cjyKBidlUk4+rUSGLUtFerOGC38FpyZ07ZGzGWNVAXGcah6gJKS48CMGzwfZhMseTmbSU6qhMJcd1ZtXYuPr+Xme++y9yxh7BbXGBug5A2DvHYdziFRqp8TjaFmulQcwqP18Vhr4p6TW9Sp6zFmrcUpXgVeZ+HUakUiZ9eTShL+LHjYF4Vq+g+NxhzpZpDb6pp81zfFtezpDwLW2cn+QvmEtd3LJ26zSQ7bi5eXz3x0rsJlYxBIZjxeVxUZu0ia8VreOwW2l0xg+geI1Dq/5xlhXyiSHFjPlVVgdDmxsZyLJZKhg++n6PH16DThdCp4xVs2f4eAKK0EcFvR9rrFnw/PRsoQaPUIx3+KN7KIIKUD0PMBvS+vhjLJlJTKMNscDLXl8pdkTGIHgvBdYU0dhnCMls9y0tO0aFSxYMRCfQyR2KxVePz+zAZo/8yed2tXCK47SCVI5zze1h0ZDdhyR3QBoeRu3MdHS+7GjTBiK1CW61cAlxM9WkVcAeQAhwBFouieL5L6vx+VwCVoihmCoIw+DfazQBmAMTFxf1as38Lt9ND46Yq7ruuDZOz9/KkOpmqhr14vAEPmCOkHUfdXuKUBg4dXYlGbeLy4Q8j4keh1BPutSDozIimeISa01Cbj//wCoTUy8GcTP+r0njUUkOcoZZ7o9dTGvcaIh7MjdPo0+Y+znwkUv6tSNi1G2jUbEMtJFDmX4aHGjQRbYgadQ31jZVkPJSIOlLC6WVu1G0h+D6w+aQcvyECd4NIr6fk5BAwiru/VYV0/DtUKL9E5BrCpWPRiLOQCmqk0iDK/Z9y87SlbNj0Alkn15KS1I/hgx9AWqCg22MCfhdIFJC73AWiiMIQCDJo3244t133LcVvtKVgGkyp3tV0HW/LzuTjdj2YHPbb90cplZJyiXmEL+b4DI3SExr1z60X+UU3Bf430QhJOMUSfLTMe3PIjpHePwit7CPyva9Ty2YMQldCJVfgppYjvhtoIzxLDes4ZjVS1y+G4X+D6mM1zHgsjchEFT6VlBqpgUHdgzm62ckzT60BYNrSUcRL1bxzzTfUVgS+d8oYF8Kh55sPoPYM/mPfIrQbiUrXCQUFFErncmfSg0xUx7Pg6r0ggYZ+eqoa1uJ0WVCrAhkVgiBgMEShVGoJG/oAHq+L3Xs/oaz8OHG9buOpymzmvzaYtyatovfIZBTqlo+7C3kjfRf47FLkYo7PfwdL6Wm2Pj0FjyMQ5nr86zewVBSQPOFxgiODkckkF0y6SR9kYPXap9my7R2kMgVjLp9L9y6T0GiMAAy5uj1+v8gXr+7BYFZx91uXo+1ootrjIkSuBER6RIWh7evizJFKpj3cj6S0UHb9mMu8UcsBUGnkdP96PEldDRS57NwdYaLatoMybQbFjip02hCstmo2bH6NYFM88XHdSO84huqaMwwZcDdmcwJOVxXvHuiBXFBgP7UXXVxPvLZKTMkeCiu0iB9dD/aAMvtAqRzbpNXsW55O4qi72TzDBQTyl2vuDmb40rn4fOuZbwqiXKxBf2MoPpsWTaqZIcH3kHlwOY1n8/s8ThvWsjMc/+oNvE47JvNwCjTPcsI3ExCIlk6jvuAE1af2o9SbqMs9zP73ZyNIJCQOvvai3vNf4z8dm/lOG/vcHtQqAw5nQAU/89AKNBoTN0xeTG3tGRzORq4Y9TgCAjIxnBhpDb7v54P77PPRZcH303y8Y1bw6thanl/3Mid3OvAN+Z7KsW8g94ci3/cWe9+147LZGDKhHeYwPwNlPnqYDDR6vOypL8WZu5Z1Pz2L221nUN/b6d/rFsxhSX/YtWrl/5//tWfnRcXZAMrmuZkoilSdOUHG2BtRavW4bI04GmpR6Yxgq0YURQThdyWDWmnlf5aL6Q75BPAA24DRQEcCecK/Rz9gnCAIowEVECQIwqeiKE49t5EoiguBhQDdu3f/Q2eySR3DqChq4OvyEgBWS2q57xxnZ5Eo4gc2ywxkpF1JiEpP5qHldMu4lmPH13Ds+BoUcg1j+s2ge8EuFHlbEAv2IJ24ELHkEArLMXY6VcxNdVAlbTYQqoM+RiMkU3dyKu5GP1J7DA5zAQ6xoKmNzjYE5RV5VAv78TVE0WZmX1KnRnFyk52KRT6qfpAgns2hM3eSETdagbPehTDudSqVy5ARjFk6gMO+yfw8y1STRLLmMcpLHAzs/jhjRs5FrTKAR0HWcjuZzwRCEAUJdJujIXKgrKmUk1YbTJjYj6OZjey6qwiahZEBeLMkhyvNUX85z9vFHJ//Ck6xGBEvhb73iJJOabFN7U1HXX4NJ8v2oFOHEh46DXPkcOzkUuz/kEYxoLheyifo6cv2eh2vi6dZe08i8RVeyg98xLaPfkRjjqLj9MdRKYP54aPtTfs3tA2i/Gh1k0EMEBvcwC8RC3YjvXE5rvwN1MQUEiVM4bjvDpIj5nLXB73ZWC9jq9pCe08QCoWWkzkbGTb4PqIiOrJj94eczt+NQqFlYL/b6Zw+HonSwKmgeCwWK+b2Jq69uwdSmYQzWdXEpgTEmsoK6mlfo0AmCHjPMYQfjG33lxir/yvj82cainOaDOKfKdr5HSWeYRQXq5h8f2+uuDmDtZ8fbfIWB5lUmJKz+e7HVwDweJ189e1sgk1xpHUYBUBwuI5r7+7JZdelUSx383jxcVYf2EeySst7bbqiqfHzyh1rKDxHwO6au7qTc7BZNMZp9/DKzA2YP+5Gjc7PQGMS0pQtiJXd+dBi5Y3R89nx1V0IghSpVIpcG4bUlMDGr+9j1GVzWL12Pv373MqatXdhtVUTHtqGKW2HE371fMp9y0jKUiKeNYgB8HnQZr6OPuIDTn58/jpy0Uo3vVNfQ2wzElstlGTtI/GqO1i85n5E0U+/PreSX7AXS2MFEeGp1IXGYqsqomDr1/Tq9TKczSoo9S9BntOWAx/MpbEoG3PbbnSa+hhHv3iB7NUfENNrNHK19o+4vf8S/+nY9IkiCy12Foyez45v7m0S4kvvej1IZWzbtZjuXa5l7foFuN12lEotU0bMIeKXOeFuOyqhgce/TscnqSYopZBy/QuBbZlP8ODwbU31sFd+cILXl/Vj4K7REBSJtP+dnFAaWfTd7Kbdbdz2Jkpk9Gg/HnNKxr9zaVr5H+B/7dl5UXE1gqL5GWCtLkcilaHSBRamDRGxVBdkE9upd0Ch2l4L2t8WRGyllf9lLubsr4MoiukAgiB8COz9ZzqJovgogRJOnPUUP/hLg/hiExYTRGq3KMzqCmiEvbY6IlMHItnzGn6/F63PSy3wvd2Op9M07pG5iI3JoLjkCCZjNFeMfIINm1/jm82vEXn5XBLztiDEdMNfegRxxzu0n/w+36elEiz/hF8GnNQGLafdLVOp2A3u3X1QRsfjkgSMYgVROHI78fn6cU3toyLTmT7tC4IkIRxd3Sy81WaKEmOqjMHv6bG5ajigDlTESpDM4ozvZc51uzg4jYcGhHo1hcVW0sdL8UstWE4Y2DuvOSdP9MOhV+0kXdUyrM7nEPHaRYx+xXnXMkSuRNa6cvhfQ0COgnCcFNDg30eocAVV4ipkGCB7PJ98/nhT24iI9txw44uojW5CGIFLrMBFMXJMuO2TOGppZJExgmRXGWIbK+a20cTd/BwKhYEc6Ry81PPYtqnseKcNX7+WT0ywnlP+eiLiDQwen4ogAZX5fGEsIaYb/szPEJRgF/MIlYxGxI0PC43xefT3d6N/6WmKG44ysO8MdIYoRGM8xw5+wen83QC43TbWb3qFcaOfImbAPcwqL+fOyGS0fhkbV5ygptxK78uTgcBq96qPDrHqk8O8vnAwG0xWLBIft4QkMNzYqlD930CQnh9WKlWocNj9LHtjL8ZQDdc/2Ic3fprKyvczEf0w9ZEerNo27bx+Wcd/oIMpBmQqhJAUBEFAapTzwPF9bGkIGL95Thub6qsIPmhvYRADfPP+gf9j7zwDpKjStn1VVefcPaEnJxgYmBlyEpBgAgMCYgAVFMO6iq8Jc3YNq645Z10xYMK4gooKiJIzQ55hcg49PZ27q+r70Tg4O677ft+uuuzX178+depUdVVPTd3nPM/9MPf6sezb2tjdVruvnSFRHa+2H2Reai4uw2kUOqsI1Mvcrth5dP5HaNv301C7FXtKH9RABxlpJZTt/oKRw8/is2V3dRtxNbXs5/XP7+L0S88huSsffNt6X4+uWrTGGAZn7+titEfA14qw4gEKpj3CnuUHKXvhdqaedQWRsA9tRGLK0VeRotHg37OBEXOvY/XTN6A12ZB0ZtIb74TmfBx2O9/ff2H3ZETbvk2Eu9rJHT8Df2sd4hE6OZRrMHGc083dnQILzl2M3teEZHJhSyli+9qnGTn8TFRFobDP0UQiAdLSBvDFxrc4c9jZGDe8dnggjR5TshZtwQpEHGQmG1CEu2iRv+DrxZFuQQygKCpLFtUyaMIQqNuMvOZF9vWf2uvctu5bhrWyjUFnLMSalvfrX4wECf4F1GBPUdxeV4Et9XCKiiU5nfaa8rgoNiejehsQEqI4wRHMr/lfr3vaVVXV2JEWUtHZHqQkzY6pReKslGzeQuUP899j3ZoXyXdmsjzg5ZacAWzsaicWaGPpl/chKzFCIS8Gg43Zsx7n06V30RD0kG/LRBx+NvKnN4BGj88dxmS+jFT1VprpWfLBHBnC/rcURt5hZsNCN4MDi0kdvwchyU+kOY/FS+f36F/fsIP9W7fSsGg8I243AyquYg2pIzQYHId81FQz+qibMA3oBAeRXlIcZDWAb40fyzlvsl55Ga3iIj/vbpKHj6Z14+EXs5gfQu0q9j6H97X1kdBZBUbVJ2N1a+iS46sbEgILs/qhS+RR/W4YxWzs6ghETLSpX5EqnEof6RYEXx6vfHZbj76Njbuprt+A3/onJMzkSQtpVN4nM/wHutaWcd33H1F89kI6szZQrTtcjzVVnIFeTSeg7ififpRjrrqViUPmI3wVY1y/TAIz+rPy4z088EgmWk0Uhs5B2fJ2fGdLCuLQs5A/vZ7I/D8RYBmKGs9hFwQt/TRO1m5/hc37FqHVGPD5W8nKGs6xJ99DIKkApyOLDs9h469gyItXjnFdVn+GmO28N28FbY0+BozMoE9pvBSZpyXAZ69uo7nWy8tTP6FPaSppJi2+6SKWG/7Lw+H+A2kv307bvo3Ys/vTWbO3u9097mIeeyh+bz99ZSszLxnOiMn5jJgcX+pUFJlN+wZQW9dTVKYYrMSeOR7kMNKMxxCHnkVtJNItiH9EBeS/yzMHUGSlVwhgybgstun9EIIrK7byXN+hhNUwLxRq2NHZTO3W19i+4XVEUYNlbzKpyX2ZNGEBK1c/iyLHejlTt7YfJNwpEdX7ENJKep/D4AvQrvcz4FwDVV9o+DHxSGOC7EkR+CYexSSVfYSrz2Badq0l15zPlnduJ+LzEMj4kqSZ55Hy3W3gyGbCvIV4YgZ81Q0oe2ax9noDox/e1mt13tdwkJyjppEzfjqS7sh0qdaLEldlFvKmVs/LniYKHf0ZYXWSpxGp76ynX58JvPXeAlRVwaC3smHz28ycdj9dlmSMm98COQKSFumE21AULR3yD3QK8bQgAS39pQeIhHovEIZDCqpGF683GWgn2Z7Zq0+Kq4BAeTW+pqqEKE7wn0/Yi/ATUdxRV4nZebgWtyXJTeOeLQAIpiTwNkB67+dZggRHCr+mKB4sCMKPFowCYDz0WQBUVVX/aaklVVVXACt+tTP8BWRZodIb4I3+o9gb7OKmyp1sNDt4ZeI13NPlQ9AYCCgy5ztTkDt2MmzILCRJh8WcxDcrn6S5pZwpx92ITW9BSumL/PX9CJlD4IRr2ZlyIxGaUEUvRqWQoBA3BNHiRLfpPGqXKQRqQ0z9wI5gk4mmmKlrbMJh8mOxJdH1d4YG/jYfrVtjuAZKWLIkgo0xlC4/JMedp/WCm37SA+yQz6NBfo808QxqlZ8ae4uYogNwzP+AWtPj8e+Pj9368xj86hK2X15Cy8r4S6LRLWLJ7Glabk6XOP4tO7teCrDomKPYlechapKZnJzK8CPUrOU/FVVR6ayQiflULDkSBtc/N5CXsJIrXs5B5UGa1U9olj8hq+sFfP7eNY8j4QAu4Rgc4hgMZJEnXkNXtAbL4AKKsq5FSApQo3uyxz7NykcUSDfRIa8CoMv5Bukn26jXPYklMpF+rcfTLzuT3HUXo+zNRhxzEVLBOFRBhM565PWvETvrXsqzv0TEiFZIwiGMJaTWYfKOwpHuYqxzPpGInyRXHhs3v4PsqWbj1neZdPQCvF2NrFr9PNFYCIslGVdyPlZVwKpoKB6VydSzBzHk6GyS0+N52Eazlqy+TpoP1Xcu3xH/e5p12Yh/6d4k+L8n3NXBhueuo7NmL/1OupCMEccT7mzFkj+GV5/20Fhdz9yrBzBkuIZQw3b02kIMh+oVi6LEhPF/ZHvZ37pL7jjsGRTpjHCoxrr87h/APZComIdTo6UjdlicakWR9hwNSRkW2uoPR9lMnjWApHQLBpOWUCBKbv8kpt07jrNCcUOtukgIk6TlzLL1BBWZpRkZfLJxESOHzyHZlUd7Rw1OZxaqIjN8yBmgqowbcwFGg53de5dT17ADg8GGzZSLRm5AlQSkE/+EvGERRAOII88jlns0qQEfLeUORt6mx1+vIGrAkCziq2/GpTFALITszCcjawj9ho7ELnQybv6NrHvnafqMnAjhLtS57xHtasW26VWkY/5EOAZC0RZGPZiB3nG4MsGPiFo97kFHk1Q49Fe7578FxRY7f9S4Odap0i77ceq24OiIUTL0TOobdzFx3B9RUfH720hOyqepeT/FSfmIJ9wCBjuC0YFSuRYOrCDfPBVvxjGoagRB0BJSG5n+P0ex9JWepQRPO8OOsGdD/EPIS7/UvrgcWbQfmrTT6cxMGnYWW75a2KNkkxroQG3ajRoNIqQUIjoTE3MJ/kMIekFn7P7oqa8krf/g7s+WpDQ8jTVxfw6TE9Xb8HOjJEhwxPCf6j79u2PvZ2dMp8ibzdVED4Uab/F7+Cw5g6XeOgKKzAet8DeniSWfXB93mQb0egvHT16It6sRjUaHyWAlJohoTvkz/hTYmhQXxACxzgOUBv5MyGVADsl41qbzwx/iIrJ9p0ygsw3/kDto0b4LNvAjcPr5D/LK43/G74/noEmSFqOvL4OvNlLzZQTB1Yax/37qQgFS2vJwJsVzl1LEqQwOf4pf2o5FKAJRoFF5Dz1ucuUbafqogI5ZC/7+MtCmrGW3K8Ss9QNRU8tQpHaalL64/KU4zIcNGFwDNRz1gJWIx8IURwqi9siKDDgSiPoV9r0RYt3tfuQQOIsljnnRiqtY+4v7BSnHQC6F0n1EvWZqtun57BORkpLZbNuzqLufKGpIcecQYx9RtZVm9VN86g4wg2g2UOp4C6IiWeKFNCpLiHJYVP/UQ0+Hm079l4TUGkK6N0iZWk9R2Znwth+a96BuXxI3nRME6DMe38gB7LTcgUFIo1R8hQitpAgnowoxwiEfq1Y/iz/Q3j3+qSffTYenhjEj5/Lhpzcxc9qfOeXEOzhYtYGM7BF84PfzSVs9iweO4bg/Te51PQxmHRffNYkrT3iDSDj+d5s3MJnSo7L/n+9Ngv83Qp4WOqvjruf7/vYSolaPzmTDpR/Iqs9quemxIYh7/0LtR1XUfgTJA0Yz6rKHsaTG71VO1lCuuXw59Y27kBSZtLotOL9+oMcxOg/s5uZ533Ht+8dyCwe622OKQkeywJQ3jqH5vWpq1zcx/sz+9BufweZva7jozonY0kyklLo4zruBH8sdn+pIo6a5i+ChZ/5ev4d+fScTDHay9Ks/d48/dPBphEJexo25kGXL78cfaGdI6XQK+04kM7svTmcW+t2tqJtfRxg0C/HYGxE0OpR9XxGNNFO5aSCNK6F1sx+9U0CRIepV6TPDSW5pAWpnA5phZ5G7+wvE1fHJTJ3ewgl/eB0+uAQ2xyvSawZOJ3TUlWhiPlY8ci2xcDwlpmDypQyYcTO7P7qv+5wHzbmBpP7D/ytcknMMqZjFg9QIT9KhfofsnkJAs5BUJcbnX9xLe8dhr46TptxK2JKFkNSF4qlFCBwETy3qvuVYRp7KNvc9qIeC3+zCWAr6TuH+xbP48MWtxGSZOZeXMujgNXFHfUDIGkby/hVcNuVW6jrrkWMh0lBx7vmC0MzLsWX2BUDtrCf28ULU7UviJ2JNQ3PRx4iZiZzjBL8/asjTI3za21xHnzHHd3/WGU2IkkTI24HO6ARv488NkyDBEcORmTT0G5CUbuWN9houtefyg+jh47Z6AAYGjQw0Wtno9zDe4qBs7TPdghggHPbh6azDndqfjZsXc9To82nsbMDt2cm2os+6BTEIWCMFeE1rKde9TEznI3n0+Qy87mK23+nEnCWi6bc3Loi7Uakz3c/s2X9i8du34XLmMHXcn9hzZT6ZR0P6tDaky66l3rASgFpMDI29j1MzlmCTxPLjB9D3kgzkY8vRSSfQ3zgXuux8eaKJjOMj2KZnEdH0fKgpQQclp9hozbqSgHZld3s0/BwOZvfoK2kFjCkJMfxr0bY9xg/XHzat6iiTWXurn+MW2dBZ/vGKsYk+VKh/xqOsIdd0E0nO0QweJ5BROBd7qpZNmz4myZnNMSeeiyUtQEOoGadmAjXSC91jKIQ4KN2PVnLhVTaQLV1Mm/I1neoGtCQhHyrbJSDhlqazX46HZmtxkaKdQMhVyY/BmGrlD8iVP4DWiO/0Lyl7vpiBd76Foq9nl3wlNqGEEHUElUrEhht6CGKATZvfZexRF+A9NCvt97fxzaonOfuiTzizpYPH+uYyNy2XrF8o7zV4XDYvrb2Qg2XNGExaCoekkZ7r+L+6Hwn+dXQWB8akdIJt8XupRMOEOlvIH9KPx5aNR6hcRGXLYfHSunsdzTtWYzl2TndbmruINHcRqreR6Oc3x8Nff8LBGg1tjX62XrmOR28eTleKSEmfVEa4ktAIAluTPeQMTOIMyUSfWDv+L+5Emj6PLslCqtPOG95WbnMMJFtVKezqwK4IbGsOxkOegAa9i+MGnsgHH1/X47hbti1hxin3UVWzqdsNetPW95l49B8w9t9CMJqHxmhEU7MRuWbj4R31VjyT03BcsgWt+XxaN0O443C4buoICWH01YgGC4S9qIcEMYCQMyr+2dfS3Sbu+hglcwwBS363IAao+PZZBs9exNhrFhELtWB2Z+PIK/6vEMQ/0rI9m67W63GmXUpWvxRqDDGsSqyHIAZYufpZ+haMQ/7oavA1I/9kW9gY7BbEAJ3qDwR028lIHcGlF4/AmBLAxRqMxbegtpYj6MyERQvBiI5wKEyqYwiSGkPbtB0pdzR9i05Ee6jaglq9/rAgBuhqRP76AYSzX0PQHJnh6wn+iwh0dIvisL8LRZbRmXpWCjG7UulsqiXV7ELtrP25URIkOGL457GX/5/i1hs4Lj+TU+rWUaSYGGKyMdrqwrfLw7WmAkyihFUUiRwK0/spiiKzZfuH6PUWEARaUFAGnEyyPB0JMwa1gJSap4k4HOyxPUSUDlSitNhfxHLmh9gKRMY+C5F0HSZ1TI+xo7ThNts5teBcxhlGkOUcQvpRejr2xnCdvJMuw2HhqhCgXLmbmOoj0qlScmc9kQvmcLDPGVTknUGF6xKi0SARD1R/pCPpwM0IP5kn0cn5lK9KJX9sZw9BDNCov5laT/W/+aon+CW8FXKvtrpvooRbe+dF/hSdkEqXupN86VrqhZdwlGzFOO1ihIGLSDt+JbOvOIuzLlyIqyCGqiiYVk8iGKzrNU5QrcAgpBOljQr5fpLFk3GooykNPYK1zc4A/z30hqYsMQAAIABJREFUjX1Nc2wL6qHXyjTxDKrkp6hPWUNs7Jk9xotOu4K9JVeTfvZ+WiK76GILIhJt6tf41T1ImImGen/nYMhLVfVGRCH+8q7R6InFwrS1HeS5fsOZ5Ej9RUEM8XJOhYPcnDCnlAnTixKC+HfC6Exl5CUPIv2klnnR9MtI6VfC8AkZeA709mdsO7C1VxuAYEtDc8ZzoDF0t8lHXcn7H8QnbMo3NbFo1ud8NOEz8qvBrTOQpNVzrNPN9JQsBrlcmJzZuHJHM+LVaUx+aTxVzXt5qqECf1s9Se8+zMG757D13tm4dy7ihuS4scIyfxfmf2AuI8sRtFpDj7aNmz/AHjmBWuEB/K6RyCNP77E9cuqVVDo+pC7pHtzTq7DmHf43nTIMssZ4YP/XyK/PQf27CSMhtT/U9zbukgKtdDYdfmGV9EY0RguCpoXW/etIH34sKUWj0Bp+e7fpX5PWRh+7vu+gakeUqtijOI2vE4tFevULh+Ph8/LJ98cjWH6k+BSa0vb36h+jHf24NQR4g7XPTmfFu6/jqTuI8uGVyIsvQFp6A+Gwj61v/4W1j1+Bt6WBAzVtdAguNPu+6C4Hp7b83diCgNq4C4K9DQkTJPitUYOe7pxib3MdZmdyL78Fk92Ft6UeTEmont7vDQkSHEkkVop/gcmOVH4omkj7ulYeHzWQJlUl6IzxcFsFV2cV4tLoKD3qYmprtyCKGuRDKxTJSfmsWf9Xzpr1OHv2LmdA7ilsWRum77BzMEcvwFOrUrXfh/G8T3sd05PyNoUfzOcxuZLPyjyMsF7HJZl+VMMlKASxK6OQOkUK+w2ms62N+i2v0mfuaLr29yNq7R264mMXrZ172deyhZQpdQQ1h41sgtrdhHI/x5g6j2CzyoZzS5nw2TLapc34O0QOrHLw3FV7eHZmYa9xo7SjHFodTPDbYErvvYLjKpHQ2n95bssgZJEjXI5eTSNdOJt65U3C1GMQcggKbxA0P0snH5MbuxZ9RSEb3/oDYyff3WucVHEaHcrhkkuqHKa06nKk3auoHDiNV1Uj73oaKDGdzYLs09AY/4gGK1FaadGtRDpuChklf0LrDSImFbEn9QX8QhniwNtwKwsoVx4jV1yAKBhQVRlJsOJLH4QgiKiqglZjIBoLMWTQDPbu/waLOZmhg2dRWX0oj6+rHlfTTrBN/NcudILfFPegozn+gaX4mqrQ21yIGh1VKz9A0htJH3YsnsqyHv0zR02l+odP6Wo4iDO/hKTCoegPeRcIhceguXodavtBBHMSbcF0vvvy9R77u9xmkv9BnW9BqydQdA61HQUkWYOUGzO4i1b+4G8gVtSHtrR0ypa+TeO3bzO931gGFY5gt+JHr1hwp/ajqXkfEJ+oSU4qwGJJZe36nmaKSa5sOlH5qOFG3muu5IqhC5g7aDaSfyvhJD0V7s8IExew3uZWso/vi7O/is1WjmOAFkPjRwgl0xAcOQiW1B5jq7WbEfLHo+76rEe7NqOYWEUtWpONkafNx6Z0IChRNPkW6puy8NYeIKXoyM6pVxSVPZvq2fZ9DTq9xOBxOaTl2ClbV0femHY69WvxdL1Hn5Tm7mcJgFZjYPTIuaD30Z5ThPXS94m1NlGrsbPM6MYdNlCgbyEsfXn4YALsk6+n6OQnqfhYT8TnoSUaxnTlMrR71iAIIqk2mHL+ZeBrJmi24sidRbirjVB9Gca2CoTkPgg/MSUSSmcgZgxGDXWiVKxGzDsKwZ7xW1/GBAkOE2gHffxZ2dVSj8nee/LPaE/C21SH0GcMamdCFCc4skmI4l+gS46yf1k1mz4vp39mEdp0KxfWbCamqmzwdyAh8EFGPrNmPIy3s54kVw4WSwr1jbuZN+cl9h1YQaenjZTSXNLSqggL+4gm6UlxlqAfsRqdNumnlZEAsMTOZ2HXLr7zxnOGa8JBfujU83bp9di0ZWQK5xJNOYg3GGDfsrfwN8dfnkZd9gTaWFGv75CsTmPR61eh05gYN6p37qnPsAZLznyCzTEs2Ros0SEEPdncN+cDKvfsRqMVMch9END2CCGzRqdi1/Z210zw65E0SKL/PAN7Xz/0MmcRGPeQBYPzl0WxX91HQNhPjfIcNmEYBeIt7Javwq/uIU08k0blPcI0Iux30ly2jqSBQ/CIq8kXr6dGeZ4YXaQIU7ELo2hjefe4hrYImi4vfl8Ld/ijvN8VD9msDgdY7dXw1aBPsOhqyOISanmeRsMXtOdtQYOddMlMh7wZAJ+wjWwxE5UIlcqj3eMnh65js5zCzPPfR23bh6+rhfT0EvQGGwX542ho2EFdoJ29+7+lpGQ6be1VrFr9HAuvXIHzZ5xfE/xnIggCtsw+2DL70F6+jW9um4kcif/Gi2Zcjrt0PE07VoMgMOS829n/+Ss0bV/VvX/x6VcxYObliBotgiAguIvAHX8WpsQU7lw0kz9f/CkBXwRnqpm7355FalZPn8eqva3s2dhAJCIzYHgaj/6liZ1ranlzbx5py65F07gTALsjF8vsy1jz5uM0Oy2cU7kRFXhLZ+S16Q/RXrkWnd5MOOwjPW0Akqgl8JNVP0nSctzUS3iy0cJfm+PP+GubAtwhSiwbPJFk4w8kqSdiYQhNyieYdG72bwhQNHol1vXzEK3XoXzzIAgC0mlPo4haxGNvRFn5GMRCqJ31SFPvQmk/iNpYBqKEOGo+ktFERv/BpCY7cK28FUKHPDDXPEn6nDfZtWoJzvxiNHojRyo7fqhhwbGLukslmW16nlt5Hv2HpWFwHaQt9BKzd+9kpNnG0/PeorV1H7FYBDkWJiWlL1HDfiz6ZFZIhZxRF4Yw4G/G2C7x9sBbMZrXIyCRI/2RZuVjAOo0LzPy1j8TtdXRnPw6bUTIdZyPTnbh0a7DzjCs61vRf/U8hrNe4Zt3H2bInOsxRg6lm+SMRJx8LWr5KgS9BfmLu7q/jzLoNDSnP4tgSkSxJPh9UAPtCCn9APA212Ow9TZONdmTqN25Pr5S3NXUa3uCBEcSCVH8C1Q1ennttpU013g5asEgKqJhYuphFXuL0876Dy5DjgaZOO6P1NRtQ6+30KdgPOXeZrILT+C4YW4c+5ahNpWhTynEakuhqfg7/Oa1iMIgjGoBQSoAEDESip3Id96dPc6jKRqmPTSJbL2RLcosVIeM4NDR/8ab2H3P2wTbm9ix+D4mXfcohO/moP4BZHwkyZOJVJVSW7sIo8GOtvN8sK/uMXaq5hTynrIgB+OllfR2ETtunvn2POorPZgsOtKdNrTh96jV3kxYPIAtOoO02ELs9p65JQl+XYzJEqPvMdPvXAORTgVbgYSj7y//CUfVDnbLl+NV42UTWtXP8cqbKJaeoV39Fo+6lnzxBpJbTmXrx/dhScvD6HDjp5wWZRkZ4jlImGhXv8OrbkEgXovaLBdiq5NQy1dQmzuWD7p6hvt55Rg7g/W06s4lST2BAuFmrM0i5l21aLoChEqMtGcNp0O7CaN6DEubDUxwvEKT/g4itOGKXIQSPo0l0QZOq/oKvPVkpBeza88yUlOLCGaPwZNchF1nY8TQc7ClDkArSmj2r6Srqzkhio9QqlZ/1C2IAfZ89BSD591O6dk3Imo0BFrrewhigN0fPk322FOxZfbp0R5ob8TXcJChQw28uWUerc0yKZlW3Nlx519VVWk/sJWq/V5uvWAjHS3xfFujWcstL5/Kw+UdOHct7xbEAIKnCpd/P+bUbKrNTlRfPH2mPBLknHZ4UGehcv835OeNYWfZ57hcuUw/5V5qardgNNjIsyeTumctC9JH4DU7+dAfD9v1KzL7AgJe3f0AmOlPqfAK0Ugjx817Ed36FxGKpqJWHHp+qyrK908hznwSuXYz4oQrQBAhGkQ9uBohYzBC6fR417K/obYdxDrhGoRY42FBDKDEkDa8iiAMxNdwEEfewH/1Fv4uxGIybz+ytkftYL83zKpP9jL/lqNp8NZR7rehoHKCTqCq9QCdDWUkOXOoqdvK51/eywnHXkXuhEUsbjm1e4zb7TZmdZaTvvQTjH2ux9vXSpn1rm6TQUEQEPv4qVefJUw8L36P7g4KpJupld+gmpfIGj2PvLIUpJa9eGv2EfJ10lCnEDtYjjO/BOuU21GqNyI/e1yP76RuX4I64UqEvJ4pVAkS/GYEO0Aff8/zNteRUjCgVxej3YW/vQnMLvC1oCoKgpjIzExwZJIQxb9AMBShqyOEoqg8Ou1DLtrV01iqwFfH2tZyZpxyL58uvbO7FuWK755m1NmL2Kx1MGrlgyhl8TBpFRD6TsaduhAMThqVz8gRr0DVSih0oggB2kQPGkHoIb4B9JLCfuXW7lxNlQg1KQ+Rf/oCdr3wPBGfB6GlmvS3nyR50jwUgx7Bq+GJjS8e+i6dVG/3kTH6JDp0nwMC6cIcksXjMAzovYLsTDXjTD2cX5ZnmITZ+ylR1Ydd78ZsNvTaJ8Gvj94ukjb6f/8Px6fs7hbEPxKhiTB1dCjf0V++ApPPQHtrO+qkM9lqtpGbmk1/aQV75YVUK88AIKAhQzyH5K5iFI2Csd2BRqeBJBGdEsUoSQSUnvm/BjH+uU34kn7N56N97rzuF3LDGug39x52FwkYwldxYtU6khc/j+u4G5CdaTgiGoTPL+CZiTexuOJ7srOHsPTLwy652dkjqJ50C8+ThDkscamsIikyxSfchtWc/P90bRP8/gTbe680NG3/jn5T5+GrL6fjYFmv7YocRY6Ge7R5qnaz+i8XEWiJR9LkHn0ag865CaPTjqfVz97N9XgaO8hKU8g31XHjXXnce+tBvO1Bgv4oqz/bx7VPTcXU3juNQNdahrt0PF3GniHY880Gdq9+nYH9j+PzL+7pbk9N6UdRv8lkiCLpr18FqsoA4M+n/IXVhgJaDp27VjxcM9jPXlqDX5Am90O3Jy6IxZxRPVYS1UAHqqogjJqPuuox1Kp1qAXjkdJKUTa/1ePchMyhqNEQamdjLyMRIdiCwe0kFvJxpKLIKq2NXb3a25v8CIJA7ZYUDEV6/sfhRPjqdr5s2NHd5+hxl5CRXsryb5/igkG3kxKf92OW1c6lm17AUhZfFWbzm1iKJpB81hga9PHw9FTxVGrk57CLo2lWPuoes035GocwmnZ1JbXSG6SPuwbJ6yP/mNnUrP2chs1fA2BJL2DcNc9g1ehA/Zma2SEfMZ8HnSWxWpzgd8DfjqCPR9X42hrJHTq+VxedyUIsEiYWjSHoLeBvAav7tz7TBAn+LSSmc36BkEvDtD/E6zV2eUKIzRGOdcRzuASASAB3aj9qard2C2IAWY7SVfYJp2hk1LKeecPqgW8RK9eSukNP+OV0tl7zLC1v7UZqSCG2WyJpz34+T03HqTksVI93OuhjiKES6zGWjB/pUOhs4dTzMabkIHRUofvwYQxv34f+myeZOHJed//lX7zMune8lIQ/YbTme4o0D2MQ//craim2JDLsuZgNCUH8exHsaKbyuw/54dFL2fPxc3jry3+xv4AWgd65yAI6utiGHNpDoFNir0bHmQJc1tXGZbX7aI95KZTuJkU4Bbc4i77SnUSiTVj2xghs1LL6iSdZ8dpjNJv6YzHk85Uo8Yg1CbsU/90Ot5hIM8ZNkkQMSFU7eq5QAfov32RI050UlTeQWrkasfgk7NVbcTx1MsKqR0FjINa8jdLik1i/sedLfk3NRoZG4qt0l2f2pTUSZqWnBdldjNOZKK10pJI3safplCBpGDHjfGJLrsCzdRmxkA+9tWd93ZTisd0lmgDkaJg9Hz/bLYgBqr5bQvuBLTRXN/DI5Z9x1YmLuXP+F1x80lds3mNlTOuN3PtoQXf/5BQtQ/u1oxZM6HWO0QHT+OSoaeyVwwz/iVgxo1BcdALfr321R//mln3kZA0lu2EH/GSyM3PFg1xqiU88DjKbyTRt7rGf17gRU24x4jE3IA6ahfxlT4EuDp1N2ODGo8sieMyfiMz7kK6xN6L0P6HXOQvFJyNJIkr/Kb22yUPOoWnXOsymI9ftWKfXcMaCUb3aJ07vj6c1wAMXrSJNo2dMrJOmnwhigDXrXmPKsdcxavgcIhEfpyT7GG6w8IBGPiyIDyHuWUV262RShJPoK91Fs/IZRiGHsFrfo58WJ1E6D31SULUiMVsORpe7WxAD+BoqOPDp86iKAn93b1R7FrXl+1h+6wwOfPk6IU/vuvIJEvxayI2vo3rLwWhHjkYIdXVisPaenBEEAZM9ia7WRrCkoHbW/8xoCRIcGSRWin+BumiQ/vMKuSLDhM7WRpLcyq35hZyVkk1dOEhmpJVGg51INNB755CHbO3Pi0dVVeHzW0ktuYK675cR8waoWPQ3mrbFHZ41Rgurrn+SN0wCfU1aSsxtVIc1iEY9CodXRDTYwaul5IxryJ18BqLVCee/i/LF3ajRINLk6xhUOAlVZ+TbVU9hMjmYNO4Kko1j0Ii6X+WaJfj1UGJR9v7tRfZ9Gi+VVLv2cyq+Wcyk297ClPzzhiwWYSCZ4nxqlZe621zCpJ9EHKgIWgdvhaJ0HprYqQoH2NNVSrrtMnRCKooSpkP5jiGdD9Gqxlj/wtUA5E06g73L36GlbA0AGUYrSxc+z44UPX2sKwhpniAtfDLutqFoIgq91kFiYaRIDLW9AlIKUZb/GSFrKOLwc1C2fYA47o+4PLVkFk9DUWJ/vzc5Wh135RbSEgmRbTDxWnMVt7r7/yuXOMHvTErRKMZc+RS7PngcVVEYc8FtaD65HLVlP+r4eyj/YhElZy2kYdtKvNV7SSk+in6nXIzWdHjVNur30nzoN/lTOmv346lz8NV7+7rbVBWefvAgo964l1K5mecWD8aanUyqCwIRBdXWF+PQc5G2vQ16C7HCqTzrHsojnU3c60xluNXFBWn5tEcjpEoiTm8usVio17FDYR/RjMGwZfHhxmiIiXYDT6W4GGkVaNU83GOf5OBYhO+fg9xRyJveQpr5GMqGN1B9TYgj5iLnn0DDliDh0PeUvf9Y935546YxdPZrqCsfhkgAccS5kDEY9e3zEZP7IVz4KernN0E0hDzqYtoFF0PHjkUvRDmSGXNiH25+8RRef+AHDCYNF90xkdKx2XjbA3haA9Ttb6fA1HsdQJYjyHIUhz0Lo13FavgLL/suRKr/+ZqrihImSA0t8lIkLBRwMzs4v3u7gA6XOIF98s0ApCozsBjHocge0jKzOOhMJdjR3N2/ad8WwtZ2NJOuRS6ahvTdI5A1lHb30Wxc9ChKNMzml29DlWUKT5z/771oCRL8DKoqoxy8HoJdqFIYX1sTRpvzH4ZFG21OfG2N2M1J4K0Hhv62J5wgwb+JhCj+BQZZHJxRvYbHxntZ+t6lpHkGsNf4CO+31LEgow9+Zz7jptyO4K1nR9nfeuxb2OdoJCWKkDsGtWptd7uQVgwaIwTasKXGV2mt6QVUffdhd59Y0Ef14ie46Nr/Iay0UBfsyx8qqnht4GNEdNcj04UGB0XCCziHj+ixciKVTEfsMwlUBcHkxAYcPfZihg2ehSRpMRh+3nU1wX8+/uYa9n/+So82X+NBmnasJm3wBIyutF77aEQz2eolWKVB+NRdGIRsDGSyW74Sg5qLzjSJiGhkT0fP0i5/2NvF4gGv0z+6FiIBzDUBdFufYkvH4bAoc0o2lSve6/4cDXbRvuQJ+l12A4Lmc7K8F5D+cRni7lsQTroHJC38JKJCHHcpSssBRIsbZfUTiMPPRtn4BuKAkxDSi1H97Zi2vY9x2Nn0LzyGvfu/6d7Xakkl25nLSjnGZr+HH7xtnKZNxdWsQPq/fKkT/E5oTRZyxk4jbfBEQEXTtIPYobI1dimIqNOz9fW7Se4/AvfgCTgLBuHMK+45hsWBe/DRVK38oEe7LbMvKSYdb34zhoC3g8YmkR9WhJgxzYz+y/8BXwsDBAF0V7Brp8C+rxZjcecy4qq7UaZPISAeQBX7U1sHxwpu3m+tZX1X/O9mnC2JB9x9seWNZeSwOazb+Eb3cQ0GG12+ZirMKQzT6CEWn9hUxy8gL1WPQa7AKKaRLMykVY3XrHXFxpK6U0bd/Tli8UlIYy5E0dth5uMooo6DOzaw7fazyBhxAqnF43DkDcRTuQuAyu8/JRoJUzLjOUw6AXXVk6iHwq7F2g2EO1vQjl2AKmpRGnaTXPEWotWNMPGif/8N/Q2xu0xMu2AoE2cWIYoCFnt8UlpnsDHz0hEceOcg5gVuzCZXj9rnA4um8P26V+hfOBm5y4LTdzw7X7mPvNHH48oYhlh/eAVfyRgM+hIKGk5CkaZgalIxBfczLPtevKk+opoAZqGQVvlrjOSTqk4jb1smypKTQY5i05k4etZdrHzvr4Q74yu/KQNGEcvMQajbxrcff8jw+c8T9Xv54bEFPb7fvr+9TM746b0iJRIk+Hej+jajCg5QPKjRg3S1mDE6fr7sHIDB6sDX2gQmJ6q34Tc80wQJ/r0kRPEvUGy2sySngNeePg5FiVEycCrfR8KEVYVH6vaTYxhMWnI24Y4qpp14J9t2fgIqDCqZxpbtH5JtT8dROgMhvQS1ZiNC5hAER1ZcsA6dQ0wRkAymHsYyP9JZuYelNSZKkwtRg15qwmHOKbOxMPuvJOu6cEgZJNmHo7X2nLlTg52obRWg0YPOjKA5ZIxkTvwjPdJRVRWU3nln/tZaype/Rc64GQhJUaLaVlRiaAUXunAIQ7AZt+LEbpuNR9hKJY/iFk/DJgxlgzwD0WjmHPcS1nYdflEMKQqBTgsW70C03oOIDVWoYS9GW9zVV9ToiIX8vc7FV7WLEWUbMISGIFlyYPfTAMjfP4t08n0oB1aArwVx4MmokhbBWw+pRaj+NgRnbvx7CkLckXX3MoSJV9LUso/MjFJcrhzKK74n3T2A3NyRdFR5SWvQMyXJymlBK9XvV+JcmFgp/m9AZ47nsSk/qTlsXPMoE06/neqqajwtTaQWjyVt0IQedTNlNUyrsIyUU/rTXt6HrtpyEAT6HjMbp3cXAdnH1lfvIBaM58+eNvNq+tY/C764czqqCt89TsYx97EP0Ce5aHItpkn3dvcxTs88jbUtC3i9+fDvP11nxNawnryoF92oeZhMTnbt+YLkpHwK+0xg2fIHyM0eztDxVyCWf0Mgfwp+YwERvsaltSEoKp3Ba3FIF9IY9pPb1IWh6nOUM1/Egw2dEsBY/g3Rpv2sbzHTtGUFAPUbvsBgT2HAaQvxHNxC695NJPUfTlKfYUj7liJmlaKKYo8iB4GWajRpA7F4diE1bEQccS5C8TQEo/3fexN/J2zOng7aoihwxmUj+OjlLbgarMw+ZzEb1z5NY9Nu+hYcjVZrYMV3T2M02ClNOwuBPOTIS5Sv/gzXGX8kJXME+vr1KH0mobGmYnp8CqYf838lLUy+FsN7HxKYfxFeaxUqYRQhSIYwD3fTANQPToMf/RYiAUyr7mXA5MvY+tEr2HMHYErOpHzvAQoHD8OcnMF3D17EUVc9g6Q30m/idJxOB6GoTF35PkRJS8Tfia+5GklrwJKWh6Tp7QmSIMG/gtq5GkEqRNXXQ6gSb4sTo7W38/SPGGzOePh0gTNRqzjBEU1CFP8TTFE/wVA8N8hmdXOqRuaLQ9taI0GUpEcwmmfy7ofX0L9wIiCwbPn9yHIUg96K8tmN4MhGSCuOC4L2SsRT/ozYZwIpZUuYNO9KWnprC1wDJiNs0sDQGH1T6nmlKJlbKnxcX97BmalOLs2qQKUPcFjsKi37kT+4HPXAChBExAlXIk26BsGa2vsACY44zKlZ5B87h4rlb3a3GZ1u5FCQg9++Q8TfSSzmI2vacFIlCSGyE0GfjWLogxCqRtf8FZ6UvZjEfmjVVHYrVwAg08kA+1vcnDWHR+tr0QoCzxoLCL9fz+XvVZNfYGLWWadQNHo4+TEj1euWoUTD3cLlp2SWjsW05TWEiC8+GfTjhs465E+uQxgyG0ZPg3AXyrI7kM58AdVTh1g0NV6P2JGDkDUS+a15cedLwDL7Vd5b+ThORzY52cNoba2gonItZ534IW/P/ZhYVEHSiNzw3Mnk9P/Hs9kJjjyE1P4Iw85G3fwWRAJYlt9I8eRr0cx/CUFn6tXfK29mh3IeQppE1i2z0TVPwaTLIXn9cqg6wPbyb0BRMNhTCHW2YNKEEOs29hpHL8cfyhlTxlFnuq/HtqC4hD7m05melMOeQLzu+xirk2jbdoQVD5B2ziK2CyJp7gF0eGr46LNbAEhx5LF+dwOC3JeWJe8xeu5CUtuK2JR8NVGhlXTdM3zcNJS7qhv5KqsvA0vmsvbZmwm01aE12xh55gKsR51I011ze5xPxfI30BvGgHAuuTNPovyhLHL/pxLdD0/AsTdA34mw+dAzw5qGXzEQbW3HPOEydMff9C/foyMBd7adP9wxkerqMjzeZNwpcRfdst3L8Byqrepy5uDUOZGrtqK3JxPubGXDu89iSsogqaCU4gGz0B9cjvBTQ6xjb0ZuqqBr7pOUWaaDqiKpFhzCaLzqVpK9OjR/Z0BI0IM7rx8DZ12Br6mGXe8/jtZixz34aFx9h9C0/TvkSJCJ86/D9sP9sLsadGZypv2FsKeJdc9cR9v+zQiShgEzFlB44vzuOt0JEvw7UL3rQHGD0QLharzNAUzOf2xgabQ5aanYhVA6EtWbyClOcOSSEMX/BLstHYc9k4z0gaiqQufqJ3ji6Gt4KRCiSw4SE2rQZK1kzKi5fL/m5e79jp+8kGRTMkLOSNTqDaiemu5tgj0T+a3zkI6/FevKu1DO/YicOTdQ98HjyJEQ9oJhdFlP5i/zl3HCucVc9JCGDPvFvDnoPBQlDUHzPD5hPa3q01iUYqLNfdi7uZGu2hpybLPJd9YgdpSjrHwUMX8sQsmpP/fVEhxhSFo9A2dejsWdS93GL7Gm52NNy6Ps/ccxOt3EQn4qV7yPM2sgFbIfgyMNV44VY2Tyhu/VAAAgAElEQVQVqmglmjKBRuFekjmRVnqG+4c1L3NWholpqaPQKhI//KWe1+6NG2Xt2QQrl+p4/q955AxIYvK1T9NWuQe9003p7OvY9cETyNEwyQNGUTj2OIT3XgONAWHQaX9fhhvBnobSVonSUYl0xvPI3zyENPFK1GAWitaEdPL9qHuXdQtigJyaDRTkjaWi8gc6Dv0dzZvzMgNKB/LXTam01HWRnG4ltygJjba3qViC/xxi4SDRYBd6qwtR+vl/P23tlXT5WrFZ3bic2Ygn3UNXyVwCbbWYkrOwZg/oFsSRoI/Oyl34m2vQWezEBlaCBCoyTZY3wRIvdeeqmYfiSSfNnox78GRiIR/JBQPR63XQMBqq1vU4h7B0qNycVqVXMXmgVAeqycp9eSUMDTRSE+ygxpZFv846tPu/YVDhZF54cz6BQ79jo8FOUfoodr9/E6JGx4Djz8B+8DM02uGoyfF8eUVayVjrMD60Gylp3Eq400fx6Zez4fmbiPq9rH3jESbd/FcMjlRCnuYe52NIl1i1/076bTuTrHEpWLQHkPVWVE8tQsZQSOmHmjmcSOmZGAUb7sw+6M3/HSvD/1sEQSA5JZMln57JCSf8iZXfP004HHesNptcDCs5Bc0n1yO1HeCoC19i/V/vJ9BWjxyLkDt8IsbmrcTyj0I741GIhYklFVFbV4Nj5nB8hi2gxH8nMj7a1LiZVoF9Goga+KkngslF08G97Pr4sCGbNS2f6i3fozuUG6/XabE37UDtqI53iPhhyQKiM1+jbX88nFuVY+z64HGSi0bizC+N7/czRkgJEvzfovo2I8SmoRpsqJFGvM0RkvOL/mF/o82Jv70ZTEnQtPs3PNMECf69JETxP8FidXD62TfQXOWhrb0KT1MZjYvO4KZJV5GlK8URnEG18Vbyjz2ZvgMfwtfpI8mSQZ4mBWnvUoShs5E766GzDkQJJl2HV5uKZvjFGJUYBNo5GGjggow8/nrpG9SureGHDUGWP7QVgK/eLGPOwlOJ2TuJSU/wo5Gwngw61U3sk29GKHuBG6fFBYwkCTz4wgOM8J8HET9K1TrEhCj+r8GUnEHmqKm0V2yjZfe67pze/GNms/eT5wCo3/QN0aCP9gNbSS4axtC5V+KtPYCgqyQ37xZakj/EIQzHR8962JIk0ilciqX+ChY/2jNMO+CLUFGjIz/Pg3XxBVhFDYgaAnM/xpr5BKoiE7G50BtAKD4VdddnEPYhlMxA3XmoVEn2SJT0IQgbXgF/G/KWxaAxgCUVfG2w9nmUxl2Io+ZDciG0xnNJLd8/w7mXfk1V0EM44CHd3Y/MjMFoNCIFxakUFCciIY4E2g5sYec7D+Op3EX2USdTeOIFWNPzu7crikLZ7qW8+c6lBEOdmM1JnHf2KxiaOln/9NWoiowgaRh16V/IGTcDORZh/2cvUfb+o91jjHn6TjgUwJASnIGheSAayYIgtyHb3FS88zLBjriB0j5g9NxrcR5/G8p7l8Sf0YKIcvTV7Nscf576djViLinCL+zpPoZOyaRr+Rqc+5cw94w/4vjb9aye9jJXhVp556xX6NfVQObiC1gw42HqIz5AINmQjFPQk3HRdWgcGRi+/RNC826EQDP2UUNoE1dgENLI039JxkcPg7cRiyASnXIvmaOmUrc+Hp3RvHcTA067nC2v3tHtZO0qHs3mpk9QdUHyiwpIiq5ADXqhsw4hYwjymheRTrkPoWASeqOV/59dJcwmJ6fPeJD3lizk/Is+prlpF9ZogIxYGPt3z9JWeDqhnChmASZOm04kEkVHBKOvDLVmA5qMIfhLZmJ872KUc9/FlRNjs24OBULvFXcdbpqT9pF9+hOw5BqIhcBgQ535FPWfH/YQkbR6ssdOA1SCnhaGz78LQ1clalcT4ugLUNYd8pFQVdT2yh7HcJeOx1u7n00vxU29ik+/iozhx/9sFE+CBP8bVNkH0UbUsAQmO2qkAn97FJP9H0dhaY1m5FiUqGRGSuQUJziCSYjif4KIHlN2HdaObJZ+eR8nTbmViso17Nj4JqE+4zkm/Y/0VR6g1vAMYt4++nnOwrHkKTQj/4i892sCR12JZuaLxNqr6WpvYe+Kb9A5KnAPHEOmw4FelKiRjAgClDVpeP66nnU4JY2IQbSQK15BlfJE9znlSAuokB9AxovFXdndX5ZVHr23kmdvPgdb2QsI6SW/5eVK8BtgTcul5IyFtOxeS1d9BQZ7MrXrlhINxlc9rOkF1K5fBkDrns00bN/BznceAsDoSqPoplk400ppVb8hIsRDB63CIFRkZHwghdHpDYQCPd1oJasL+dP5caMgWxKBkx9nyzuP01K2BkGUKDjuHNxjjwVfM+Ix10EkRNfAOQRdI0BVaKypofOTdxlZMhB9+XMgapCm3kGzz4JrzfMITXGjIGX7EsQR56KsjotinDk4k/JIcmT9Fpc3wa9AV8NBVt0zt/s3euCL1/E31TDm6qfRGuJliVpaD/Dam/OJHTKi8vvbeO3N85lZdBFak5X0408nZtDS3FaBs6mKaFc7ZR881uM47avLsU4ZhqP9OGpeWEf7nnhOe/64U0gpLugWxD+yY9likk44Bu2c1wnV76OzvZWGyhr+D3vnHV5Flf//18zc3m967yGht9AREAFFxIbYsOuia1l7W1fXsoq99957VxAUBem9l5AA6fWm3Nze5/fHZW+I0S/qT13LfT1PnieZOefMmTOTmXmf8ym5R55L0vCp6BIyoHYUHamf4dCsxRQeSar9dALmLnKnjsfgbkX2dtD8WQOnjsvk6DA8mlNM2fS+bHrqZnxdNlQGC+bjL2HF/OcZeMxZZNV9S6Q1upoSyinGK27BIAxEJkyt8nFSRs5Esfg5kCMoF99Kn2OepmHdwqh7QTjE3kWvMvaaZ3F3NqEyWAkYlGQSJF1SYGh6DzRG5A1vIY6/BDkxHylvJHLVasS+M37Va/xHITtrKBccfy+1tn0EcidhrFuJZefb7PJnsO+LR2Plhp30d7Ir3kAqHEekdgNi7igijVvR9j0KufBwCHixCQuACJ2R5WSIZ9IYeQ2IRqDOF69F4UyhKQQZ53wInnbChnTagyJdJRn0H3UbioiAxpyEpDMiO+zs/vBx/M4O1KZERp5yCdrUPFzWkWgMZvRtm5ESc2P9EyUlyf3GsOWV7tzV6564inHXPEfmiN5pueLE+THInt2gzkHosCNrrXi6vCg1GShUP5yyTRAEtOZE3P4wJsf3R22PE+ePQFwUHwJBEEgRZhGxNBIK+/lk/r/IyRpGft5IvD4HzftC+BuKGTTsAVTrX0bcdBcE3AhT7qCt4ATWPnIDfY4+j10fdr9sqdmNKb0Ah1YBU/+NN7GQMkcHQqGO/P7JVO20xYrOuaiIDM8aROk6EsVpdEaWA1AbfoIw0byvcqRnsK2mmi582lzMfaYg5I/79Qcpzm+OMS0dg7EUZ3smKx++GVdz1MzOkJqLymTtYV4ZCQViv3s7mgluEmFakBLPMzS4V5NszcWn20lN5JFomdTXOfuOe3js0u58nskZeooGJECFnV2nvMxyYw4j134dS8ckR8Ls+/JVkoqHkN64FblmDaFBp7Lu28dwNOzt0feuySeRdoQFwZyJ31jIQzdXcutR2SgOiGIMKVA4ESq/QcgdjTT+EsS4IP5D42jYGxPE/6VpyxI8tnrM2dHgaJ32+pgg/i8eTydhnYbM0y/mw2Xz8Hg7kSQVJ6UmkK0oIX3SZbgqFuFsiPr2Vrz1GuNKn6Z14zo6yrfE2qlaNR9LweBe/Qp5nMgBD0LQh9i8DYdbR8uuNUREEUdRMksW3M4pY2+k4w03ltITaN+zFyl/PYWOFSj97YjH3kjEnMnGBS3sfaScK64exuCJQdY+cyMBZ9R0OuCys+PdByg5Zi5bPnyWhGNnogEwphIecSxpUgk+uZ7ayOOoyYTQQaa2IT+yywaCQMnMudSvWYCzYS8eWyWh8etRakqwswhZDpJhvwasU6CjCXH0+UQ2vI6gNhLe9CaK8z7+wXQqf0X0SUUYPHZWv3Q0xXPmYx+Vyr67zulRZuunL5E89wb0XZXg60JIKkRU6cG+H2HMaQSdTsQD795OeRkyYymQbkKU1ahsBXRsqEQhgNaSxBcP3Ygpu5jCqWdQ/e37JA4fyvNfXUUkEkYQBK4962PWPXdjLACc39HOmtcfonDamZR/8iQApUeeQVZ+FtbCwXTu24olvz+28vW9zq1qyTtxURzn5+PZjaDORe5qQdBacLSZ0FsObZavNVlwub2YvF3I4RDCD7jHxInzeyZ+1/4I/HY13yx9gunTbmLJsseprd9EMORj5skXoHCL3HziVh58bzQ5rW1R3x/A43Kw4aMX0SVn0FW3B5XeTM5hJ6DUGfF1tNCxfztJpSPZm3cEc/duI4zMu9Rx05MjOGqDh7otzYweITJI8QUs3UCwaApWQxlO3xIqNd35LFVyGrXrEoDu2bkps0tJHl2IIukcBMMPB0eI88dEDnsIt7wBXUsx6Acw4bwxOD1nIgtqXB0htr52Z6ys4sAq3MG4GyqxOlKINLjpUJeydvMyBh9eCAeCtgZooWD2J9yVdikrP64ks9DK8HEWnLs/wD3raaYHtBznC1K4cTEqo5Xc8cej0BrwtDViq9xM6umvIb46m7AxE3dr73yxXk8IZ+Iomlok7ru0nJmnZKGoP5C2TBCQJl1JZP2rSFNvQig+HFEfv4f/6CjUvYNiSSoNorJ79cFkTEUUJSIHBSZSqfQk5w1kb+06po+8BDEYIqxR0VGdyWN3bqW1LsS02ecx+vBmbMsex5hVhLe2jZZNy3seTJZRGSyIClWPSaLiCTNR2TZAYAIKlZriivfJP2IGYtBJREwjZeLNyGoN/U+7lnBnHTmlQ9CLOhSvzkOYdRORrnsQCiYw7UgDqxbV4N3agCu7PSaIATTWFHLGHYcxs4jUQYcRyZ+EK3cIequZTcmXEQi3xMoWOM9Gsf6gCVRdAlJyEf1PupL6dV/QVRcV/7q0dAy1Jai3bkbb7+9UVmfw3lYv2Un1DNSvI2nHfQg5IxFKp6MY87f4pNJ3qG3azasfX82EsRfy7vunceKQa3uVCQd8hIxZ4G9BHD4Hub0KJCWCPhnkLhyiliR7f2p1KmQC2OVV2MOrGOB5luoPFpM/cTbhkB979U4Kp87B7+ykc/82RFGi64uPuebSr3HZdmO0FIDLS/6k2dSs+Dh27wS9TgSpO0ZC+aLXSSodQdmF9xD2upE0BvYvfo2W7/Rbl5T5aw5dnD85EU85qDKQHTsRcgbRtV+DztT7+f1dNAYL7o420JrB1QrmjN+gt3Hi/LLERfGPoLZ+E7vKv6K+YRujyuagUmoJhv34zavJSyzllmcHc8OZG5j34s0U9J+OzZSBOyLi72ojEgyQPfoYkkrK2PPZs/i6bBjS8ug/+0q0Bj2fO+2EDwRyiQB3yNWcckQq941RYv3kXIKHnUzzyBNpMZ6FmWGkuocx0HUTNvMW9P50rK35yPoMktJraW92Mfmkfpx/6yTUefEovH9W5K4VCIEGIm0fIGiLUTseRpv9TyJ1d6HPup3CqadSt3oh5pwSio86h/VP9fzgSx80CMIywYhIqq0BU9+Z7Nm6juy+DxAwrUMVScJkGEbTMfM4dWoZBmcSDQs+p+rrt/CN/5CO+kp2h0NcMGQShqQM9nz6DH5nB8aMQgaeei0hUxba8z9BHYmQM9ZH1XfyxQZU2Zw0bT2hYJhj5haRMzJMe/ByrAoVSkEksvwx5JbdhHd9jnTyszDy7N9yeOP8CpizS0jpP5bWnati2waccg2GlJzY3ynJxcw6/n7e/+hqZDmCJCk57vB/4ivfToasY89HjyPLERKLh9L3yDKSUtRU727n45cqGTtpFNMvvAqlo45ggoau0pE46it79EF2NjNh7i2UL/8Cd3szBSMmkanqQlE4k/BbZyKf8hqOrAl01lXi9dhJMPTHv+kbTBmFeJpXkNm5BsfQudha6kmbcTdo/ODajpyWQVnqZOb+awQGY4iwrxZJpYkGTcwpJWvU0VTMf54Kz3NY8gcQ8TkJBtto76enQLwBt1xJkDZS/EdgqmxGOuwS5JZyIvu+JTzzIeztXdSt/gxHfSWCpKB05oUk1m1EWnY/4eR+fLFN4rn7lsbOc/j4bG79+/UkjD8BMWvor35t/4hs3PYBHR3VLFp8L8OHzkadZERSawn7vbEyxswivJZUTL5UhIAHuaMGcejJROq2IRqTERPzcbRoGcbt2KxbCYt+kjkOb7Uaa2YhgiSx97OX6dy/ncSS4ST1GY7P2UlK2UTSEmaweuOrDMubwtanbsLZsBe1MYHSYy9i35ev47bVISpUCAg9+h0I+Gld+h5Nm5eQ3G8UuRNmUbPyU0KeqNWYpNaSO3HWbzqWcf5keCtB1w8cS0Fnxt4hYc5UHbKaxmTB2dYE+kRkRxNCXBTH+QMSF8U/Aq/HDoDD2cLS5VEfNZ3WStHY81EFOxhWupJnFk5D63Fgr27g2ZXPctrUeZiyinHUV2JIy2X909cRCUZNA13N1Wx/8x4mnnIuVxst7NAaWer1xI5nD4dwtTVhyRlO3Tio1zwIMnSxlubEFIZtPJWElbuQXcvA1cphFy5iwPoL8HqCJGeaUGvil/XPStizH9zdZs2IB3JUhp2gsKLruoWBU+6lZOqdKDUGAkE1hdNOp+LzFxGVavqfdBFJfcpobXWw6bXbcbfUkpA/gGGnXoF6ZwX+zLNoyf6AneL5IEOHajGahByMSScQCQfxOKP/C5u9TrJGTGP5vLORw1FzT2fjPra9dQ8TL7oNvHbEym/oU9yPkHca9esXozYlMvj0v5GRr+HxLw9jx/7VVNTdz2tf7EGhUPPPiZdh/Oo/Pc938TzEfjPiFg9/cDSWJEZc8gAdlVtw2+qw5PYnoXBQD5NehULF6LIzyEgoprNjHykJWSTtXoSiZS2evCMIjTuaxOwCkh3bUXx7PvedNYotZ89m2bcuBnc8gnLLYgCUQOHJb9C8YwXu5hoAUvqPISHUjObz6xk5+FSYdj5KjQ5571LCX9wCIT9BQc3q52/B1/nftbeXGHLOrex67yEQBLRz70TvbcG0/z1ETxuM/RuYZoPjPczJ4zjd+CH2wf9g385aSo+7mF0fPEL2mJnseOe+2Dnaq3awdf5rjC7U09K3hr3Gp1GRhkpIJquhFPH9GwkD4oizkM95j5rN63HbGik97u8A+B0dWHJKkD49D4Dm7HN4+daKHmO9cUUrNTefQVJWn1/nYv4JsLXvB8Dr62LF6ucZbM1m/JlXsmHB27gb92PsMxzfSZfTt34fS5LzGBLyIvQ9ivCn14LfSRhIHHYab/q9JNWlkpdUgisSZmPzfI4afh6t7U00ffAoWaOmY8wooH3fdty2BvqUjUGx7Q2ktTtIGH8Fq1+/H1djtC9+Zwfb376Pfif+g13vP0zfEy+j5tv3Y30WRImg30fFgmiWC2fTfpq3r2D0Px7FXrUThUZHcr/RWPP6/ebjGefPg+zdh2CeAg4b6K10tYfJ7HvorA5ak5X2mgqEvESIB9uK8wclrp5+BBkZAxAEAYWkZvTAf+HvyEKjMqOoz0LKqkOWA1hV68CtZr/GTDDkx1WxjYIjTmPfl6/jaNgbE8T/xdPeiM/eStJnl3Hvqa8xGon/xvs9QxDQGa0Ep51Lg+byHvUCtOLuk4nqowpQG5BmPYGQPZxEzV85puhfAznQAoF6kAPI9qUISbOQPbsRLIcTsb2LmHk5kZpbofkxNCmnEym/B41hNH2PfIC8seMQCKK1JtLe1cGq+y6LrYp0VO1gzYt3MOn8a1Ak+2kQX+pxXJ9QS/aIHJQfmyj2eTBICs60pOCo2RMTxP/F1VSFPySgWjwPuWU3WmBYzhj6XXAlyoJRaAwd+Opa8Xdlg30YRZZcMpPWsqvqLdTq3qbeCCIIQu/tcX43tDe72LO5mY4WFznFifQZmoZGp+xVTqnRk9xvFNmmo3+wLYVChT6jC73BhvWJa8DvRAa0NWvpP+sphHUvQV00MrRor2OoaTX9r3wF9avf9GhH98G5jL/4S+q2rUYQRJxN1XTKZhKm3IZKIaHwdRBedAt01cfq2NvbDhLEkNx3FJGgnyHn3oq3swWDFED9/kUgR5AB+YPLEU94EFm7C0FbiNBRiXXJZZQe+xw7ly+k36x/oND0Nju07dlEYMQFKMPRJ36AZgJyM/ak8ejUxmgO7/Wv0mEZSmJBf7QmHbWrPkObkE5SSRl7v3qLUXNeR/70aoIRFcGAo9cxfIGf/j8jh/zgd4I24U/vfzx6xBmUV3wd+9uoNWFdeCWlF3zI4rCST8IhPnS0EQGywj4ETwfhL+/o0Ya86S2mnvo897x7KQBWSxYXnPwCrVvXse+raF5oR30l2WNmMOjUa1D42lF/eAF4OgCItDfEBHGszXAIXWIaR1z3JAFRQ82yD0gZewEuxWDCUiJNtnb0GX1wN0YnQjytddF7VhAIehzI382JHCfOT8VfC5FoSrpAGIIBGY02cIhKB6Vl6tcH2RkPthXnj0lcFP8IxKQ+HH/6y7j3+Xjy0kY6WqKpbHQGFY99eTLFqjWIlimEM0cSsW/jtKnzCFdXse2Nu8keOxNTZlGvNhVqHSo5+qAp2fkhl469nnK3nbNEiUFNFVjqFhAsvgDo/XEiWnJQXL8dJFXcV+wvhNy1HBTpRNy7EBNnIPvrESQjsrYEMekUZFGL1Pd9ZH8tsjIVsc9LyGEfeLejU/iROxfhNcyko6Wzh5kggKulhkZviNa6TVAi8N3crDohwNiL76Z287d8O+00rE4HXqn37LFKb0aplJAPylUo1K5GW7sa6ey3cHoaWL5pCHdetCC2f8SUAcy55Tka5Wry1Abwu2L7pGk3IejjrgC/Vzptbu6/9AuWftSdsuifzx3DzPO6zXZDAR8tW79l+9v3EfS6KDlmLjnjjkVj7r36743UUq66nKHN50QF2kFIriYiBwTxfxEcDWhta2DytUS+vqd7RziAbK9j1/uPxDbVEl1t63fSFWQladC6ugWwUHQE4WD3h1/myOlIShXb3pgHRP00U8+7CbXcM1VZZPlTuI9/Gp02jDDtamy+BHZ+/AKFU88COYIg9n7F6pKzkMxWGk0f9jwXWeTg/ztRn4vP5yUzbTlJZ/yD/SsWs+O9B7HklOKQ9Vjnziej08HoI5ezZlG3uDIlaMkr/WmWFZH6zYS/uQ+5bgPioBMQx/wNMan3e+vPQp+iSZx0/P0sWnwPIKDL6o+QO5zs985myIlPs17SM86UwNxEHXq8yFLvSR6AJC1ccuoNKKRM5HaR8pfvQW20MOSsmyn/7Bl8na1UfvESxswirMGmmCAGUIbcqPRmAu6uHm0afE2YpVZCG96g5JSHuPf6nWxbtRWIzg/e9PhVKDuvjQWuC/l9KNQa9nz+Gvu/eZvx176ANb//rzNwcf7UyCEHyEFwuMGYREdDE8YEHULYeci6Kp2RoN9HUGFA1RVfKY7zx+TPPR38C+APh7mtvpK5fhX7dqXQ0eKO7fO4Arz31FbCRS8TUaTg0dpIKRiMfdXXJBQORlKqqVn2AS1bv2X8xXdTPPV0tAlpIAgMO+N69MWjEKbchKizcqsixBvmBI4MOcgLVhPpexzNm+vIDF/Yoz8acjAIAxATC+KC+C9EJOxH9lWBez1S6hwibe8jiGoQdQj6wcjqYgR/A7JjBQSaESIuwIDgMkDLCxBoQrAeTUApIxp6ryJJKg0hpYJNa74mwXdCj336cDG67buwfnYB/UaMIc3jYt+CF9GnZJM3aTaiUk3e6KPod+SpDJ87D53qgLgwpiIUHIZ4/ENIZ74J5hz2bNPxxL96Cpv1i2uptaXRkD6U+hnz8JadSajv0ThOeBh3zuhfa0jj/ALs32HrIYgBHrn6Kxqr7LG/O/ZuYeX9c3HUV+Jtb2LLK7fRsH4RkdY9hNe+RPjbR4hUr8HT1kBb/UqCtH+/dYAgRn++uznkh6APdAdNnuSOwh3sPWmjS87CmJ5Pg81Ly7jbCBx9P8LxDyMUH4E1NRWNJZXEPsPJGTWN2pWfxOp52hrY9dW7RPIn9mhPVunZ89lLtNW46TIXUrl+BVkjZ1C15B0EUaJp8xIyyrojASeXjmDCRbchlg6jS9wU2y6iw9JqiU0IhdKG89pLdupbkolY57L5jUfZ/dETeGz1dOzdSt2qz7C3NKJLSefyByYz+9LhJGcamXBcCY8smkNmgfUHrlhvfM17cW3/ilDAD/Y6It8+TPiTa5B9h/4Q/qOi1ydw2Ni/ce0VK7nuihWY0gYhTr8IcdLfGbbuKZ72bmGBYTfjHSt48t0bCBaOgeTvmKOnlCJGVpIfeIxIbT0bn7mJjspNNG36hm1v3sOQs26h9Li/o9SZUGj0KHQ9cwdrtr3ByDOvpt+Rp5E7chqipKRk8okYqhYSadqBmFxEQ5Wfbau6BYYswzN37SFx+MnRLgwYh9poxdvRTOERp+Ntb2L7W/cQ8nmIE+cn468DZSrYG8GQQFtdPcYEM4R7W6N8F0EQ0JkT8IQUcfPpOH9Y4ivFh6DG7+Gt1lr6aI007Lf32l9b3s5lNXYudB9D3+QObL5lJBYPw9VSzeCzb8GiV2Ho3IUUrielMIWBA/8OOishJELfPoYU8SIddRt2tw+vvQFPWwPahGH4OzvocreR0DaBARmDaI0swCgOJEWcgVbI/tXP221rIORzoU1IR6U3HbpCnF8Xfz0gQsRDuPkNpPwHkQO1CJKJiKBFkB2gTAR1GoIyE9lYhujzEFG4iajPQqi9DJRJqEruwpmxmryjj6d6wcex5gecdjV7mzaTmzmK6lWtDJ94H10sxkQZifWJqJoWIR57P4JjP3a1RHKfYXTVVpAz5hgGjRqNuPQeqN4vUd8AACAASURBVG1GTFVB+gyks98FnxPZZ0cwZxJwtEHtFlL6nIq97cNep6dwhti//UM+XvUMiQl5aLVmGj+7iVNnGRmVXPgbDnScn4Kry9drm9vhx+vuXnVt2ba8V5nKL14io/VbpE2vRDcYUqkfej0+VTuKNAvOjDAaQ0o0iul/URmi+avXvxrbJJRMI9K4DRmByNA5iPuXwpgLEUwZ0NRE/hGnU/X1m0B04mfw6dejNpgJurvQJqWg9DVEn8fhVvRbXmH67FmISUW0ObxMmHMxINPe3sWur97FVr6R4PHHoq76NnZ878A51L/8GCFE0oceRkr/Mex45z4Uah1yJELakAmE/D4yRx5JSpIV5aaX4N0zkbPLGDflHSqT3kUIakkNT0O9ewkkFeFIOZyNrsl8+MpOlEYL/fuaady0BICk0hGk9B/D3kWvUrngRfInn4ImIZVS8RPG33ECBYcNJqkg/UdfP1v5OjY+dxOO+gqSiocw5MgHMHx1PfLuL5A7qxHSB/7otv6ImE2psd+FxEJQdYG5C9k3D8F7FO3OsSglNfe/ezlXnPwg6vXvQOUy6DMBadBQwvbHcOofxN/QwqDTb0RSqenYtxXb7rXI4RCSRs+oyx5BjoRwu41o0gYiNEdjQohDTia5aytJte+COYuhV98FLbuR1JOJ1G1ASMjD3dY7N2x7k4ukAZNJzkkm4OykbtWnZIyYhixHrQxs5esIuO3fa7ofJ87/hRxoQFAmIzc3IBgSad1cS07fDOTwjh9VX2tKwBUAs6PxJx03HI7w9kNraG9xc9b147Akxe/dOP8b4qL4EKgEEZ2koMLr5MJp2fDKzh77B57RhzsdTayXOlnlSiVBP4ZWeTO1Kz7GkppNpsmGmDUI2etGLl+E3HTghZg2kI6hf0cl+zAsvgd38Zmsf+6f0algIG/SyYgD+mPWFpIsFZAmzT5kX91tUT9ljTkRffLPE87hoJ+GdQvZ9MLNBNxdJPYpo2zuXbFconH+RyityL5q0OQjmkcT3n8tgvUkUJgRVEmgkcEwGkl90GqZ0ogEBMITkLLuRmh9FFXNS6QV/43W4z5nyPArCNmDGK0lVM//BH3fYiRzIlmGQaSXB8hYUoV96FEoRS/igOMJf303tJajPO1jlMYE6td8jkXhQVxyIxwwK40suRcpdyTy1veJbHk32g+tFeWJj7FudTMFKXWMm1HIyvn7Yt1UKEWyUsJU7FoJQHtHdWzf/uq1jBpxxq88uHF+LtnFCag1Cvy+bt/yoRNzScsxI8sysq2S/NwMUi+8BWdQgcduQ1KocDTuQ+jqDhAVzhnD/mUf4e9qZ+CAa6lMfRDF3y7FuLsJydaOVDIDeev7ICmQjvw3clcDgiUL2ZBC5P2L8Uy8mW07Khh++OUoF96A7LKRrLVinnoH5oybCXidJBQNIeRz42xtwGjUo1QqcOkHYdj0POKGFwGQd36CPO1mrJVLoGoFANaEQoynXkLN7h0EssfC2DBiwIlcMJHKDWuJhAJIKg1qcxpV30QDIxUdeRY73r4Pv7MDtSmR/DFHkbl+ITRH3x/Cni+RGrdReMZ7tLe0ENToeW/P0TRUlLHlFTs1FdFyFkMIPI5YKqn0oZPZ/la3mfi+r16ncNqZRPweqhfcR/OqV5hy5yfokg4d+dXZVM3yu8+N5cZtq9zCGmcnE0fPQbnlDZB6C7I/M6JxOE4xAZ0yGaGjjcjqBZTU3EVe7iiqcmZyyzOn0L/PFMYf+W+K0vVEai6gTb6DlfNuisVWSBt6OPrkbPrNupz9S9/HtmMF5uwShp55I8ue/TfDZ80lZdApSGEvgrsFec3z0YO7bPDplYhTbiD8yTVA1JA+t2wwkiQQDneb1U87MZdseQcbN31Fa/lGAOy15ZTNvRuI+sJL35MCLU6cQ+Jvik6ut9fhU5pwd+7FlDwMOtf8qOoaowW3Nwjen+ZT/NAVi9i+up7kDCOXH/UGL6w5H4Uibsga57cnftcdglyNjltz+xEBFuZ5OPWhSZgTtegMKo67eTQ7hkk4wiF2B1y8Ui5iUutRG8x01ewmo6AIKSGbyPZPIOiLCWIAmrej79jBxm8W4h50NptfuzMmiAGql75LuqmA5KSCH9XPlu0rWHzjMXx903F8df0MGjcujs0c/xTsNeWsefQfMT+n9ooNbH75NoI+9yFqxvk1EZUJiEknINveAn8DYsZFCPossKQjpQ5CMg/uKYgPQpvSF1X+VYSLFtHUdS6KilTU24YSkf2AwLZn76d1xyoCkQA6QSDzo8uRQgHkxq3o9i/EJZoILb4LMWsY4hE3YFBLqI1WbLvWogvbY4I4hqezWxADeDuRlz5AQdkEVjx6GRfdNJipp5QgSQJ5JVbue/cofDteIqf4iF59LywY9wuOYpxfmvx+yTy04HSKBiYjSQKHzyrl2iemozepkfd8SejhUag+OA/LwstI8VbSvGkxO997iNQB4xBt3WbXorsZY2oWfmcHO+58meRVf6OzQ6a9ZArLM4YRadpNoO8JyNVrCX95B+H6zaAxE5l/I+HhZ1NTbyMtrxDl/GuiAgPA24nqi2tJTinGZDwKUyBCCh3kJIhYVt6F9vXjMbr2I2w8KLCcSg8hX0wQAwgd+0hy76Hg8FP4+t5LWPz5Ar5eup4FD1yHPq0AQZTInzgbUVIgqaLJvkWlCr8z6j/qd7STmGCKCeIYzma8lasI+72I4TRycwr5/M0qaiqi9fQmNaMHdKLZ+jZ9jz0DtTEBT1tDr2vQvHkpSX1HAeCzt+JurftR187VUh0TxLFtzTV49dmIk69DSPxx754/EwpNNjZ7GqF35yHvmA/OFtQ7PqXPpjc4bMjJbC9fhLuzFmdDEHfyfDa+8UqPYIPNm5egtSSz4ZnrSRsYfXZ11e1h82t30fe4C1n/zuMsfP0FmvxG5A2v9Ti22O9oIsse7bEtf/+d3PvuDLIKLUgKkaNPyeOcEzpRL7icPiO6n40eWz1+Zwe65CxSBx7G1tfvwtMeD3YU56chBxpBYUHuaKCpI4A1PQ1RaYCwF4gcsr7WbMXhcCAfbOFzCPZsauKb93bxt39P4LQrR6FQinz09Ib/j7OIE+fnE18pPgSCIHBmSi4lWiNrHB1knmbkweNKqehoQxmup8hvI8WUyEOOdgL2ANs/ryBjSGY0GmQoDMZkBHMGcmt5r7bVrduRlBZ8srLXxwkA34lY/UO4W+tY/dDFMSEbcHex+uFLmHbPFxgzftqHjau5qte21h0r8XW2okzP/0ltxfllESyHIxU9ieytQBB1yNo+SIYfH1BFUKdgSSlEuekVqlsEatZ+GduXP+vvfL33U87O/gdISkCAxEKUuz9GQCY45XYQQogCRPwuFCoroqQgIh60mpRUjDjwWGRfV69jy41b0Yw3EAkFUDZ8zvUzavjb1ReCqwaTqpwaVzr5Q4+kpWYtVTXRWelhQ06iT+GEnz1ecX59BEFg6MRcnlhyNu4uPwlpBtQaBZHOWkJvnQeBA76NkTDqlffTb8KdrKzezZbX7iBx5mloVj4QbadmDSWn3UDzjjX4OlvZ+dRTaBPT0R8dITOnL76uLSx54QGKxp6CwWQiKGpQtXuxnvImQkIBvg8fJSO3L3bDlURkGYOvEdWG5yHoJdwqY219AdXix6JdEUSko27D17CDgC+I/uDJQ3Mmctu+754myqZNNLZFc3UG3Q6CbseB0woy9ppnEZRK9i98i/zJJ2MrX4sgRv2ZLbl9KRwxAWNWCSQUQEfPaMOBQIj1L13LyEsfJj93CA+8dTo7tzSgMwkMK6gnb/M/EAdPJ7+0BWvmuTg7e6/e6pIz8dlbD1wPEeWPdHdR6c29tolKNcqiw5By+yNIf73PA62kQIi4EQ6KSg4gNu+iz8AT8Q6eRU72KFp2bsWsSMPb3tt3MhyKug54bPWoTYn4He101VUw7Pjz0M2+iM6WJiy5pbA9CboOmuQQJPhONH+pYx+jCmt4+sYKfJpsrI3PotgQjcmgDPf0G1ZqdIw/4zK+efoOQl4XScVD0SZlojElYMwsQqHS/BJDFOdPjBxoBoUVOhupcWpI71MMiCBpIeQERe9nxsFoTQnY9u0EVSuyLCP8iMwRL9yxjCNO7o/OGH22HXPOEF76z3JOuHA4CuWhU0HFifNL8td76/0MLEoV0xLSmJaQBoCzqYrad67FURVd+R2b1YcxZ9/GspdrcY8UiThtFE6Zg7PLTiSjCLHocPDawd2OOPA45KAfQanGJ+pxbHoBtSUZY3oBzqbuDyZRocJwkAmc32Wnq7acgMuOMS0PU1afWNoMT0dzrwiW4YAPd1vDTxbF3xcRVpeUiVJr+EntxPnlEQQBwTQCTCN+Vn1fZyuR9ioUm19jQP9ZZF5yLw6nG79WpsVr47SyU0j89Dqkw68isv1jpBl3IjfvRNmyG3yttKtzUNn3o9/yIh1ZJ9FnxgW0OX1kW/MQs4ciWPNA0iBozUjTbkburOn2/yycQEeHnYzhU1CoVChXvYDRlMlXb72IITWXsrm3Yqk7hQvOXEqbvQNJVJCcVIgmnmrsD4HJqsVk1XZvcLWBu61nIVlGLQRJKinD2VSFK3sKwpgQbl0WIbUVU1IOE/71Bp21u/AG3fi0IkZLAnmtewgLAnI4xM6Fb/VocuzVz2Aw+rHkD2TnVx/Sums1AMa0XMYcdRu6JbeiTQigXPrYQf2IEF76IPLxT7F9/luMKJ2BVD4/uq+zBmHYacjbevq9y/2OJUuVTVFxPgqDlbAmEWftTjT5/WmrqUBpsJBcMpzyj59i8Jx/IkgSI+ZcQ6pjM4r1d8JmNeKEfyA3bEXeHY28HiqdSc3ubQDUr1nAmJl6MqhkaOKbYCuH1S7QWhH6DkLZeSPJusEY819i/5IinA17AZCUajJHTGPLq9F0Qf1OuvxHP/NNWcUUHXUOexe+HNs2aM6NGEvHxUT9XxGVxkDouxsFgfzUvuRVrUD13gUkXbiQgNZMyoCxtO5Y1aOcpIx+3Ct1RkL+qHBVGSxoWjZj3vAMmcZUJNWRMPUmwu9fHKsaadmNOOEfRD6/obs9pRZZl4SxcSHGztqDjiPiF3X0n346KYlmVHoTkl6Dy5NA3xMuo6u2nMaNi3Hb6umq28PgM/9FZtk0nE37kSNhzFl90Kf8+rFJ4vzBCDQhi/l0esDjdJGQcSA+gaRHDjsQDiWKzQm4OmyQpYlGWj9E5oiWui42L6vhtte7g3vmliRiTdGxcn4lE48v/f8+pThxfgpxUfwzaNjwVUwQA3jqK8jZsII9X6r4tNHIlQMtaBLTKchNR7TtQLbtQxgyGyF9AHTWgBwGQUKlMzBi7l1oNFrGnHoRGz9/k/bKLWgT0hh++pUYM4sB8Ds72frqf6heFvVXEyUl469/gbTB0UioGlMikkpDONAd9EaQFGgtyT/53My5fck57ARql38UO1bZ3+ah+Rltxfl9oTJYaLfb0UtKlDs/IMnnZ/uiZwgLMhqTQMIRj4CrhfBn1yPkjka27UUuPRJn8fG0792KViEgSAaEtkqySoI0BnSEdYk4Jt9JglENLhtyZy04mons+AREBeK4i4ns+YrIhGvZ8/w8FCoNsmEykbSBKHw2lFoDzsZ91CxfgG7cGejkJvJy4ibTf3j0ZjCl94xCKohISYUI0mZyDzsRRIGt+7to3PAOEF2lPOyGl1CrDdQt+5iMIYdRnJBKZNPbqCZcyoCj57DpvSe7D5GaizmnL3s+fRq1KSEmiAGczTVUVTdQOPF5FOHuNDgxvJ1EQkGad66lOu9MMsf2QduwmmDaYFRFkxFslcibogG65IKJCAXjSHx9TiyljpA+AEOfKUQWX49y4k20trtIKB6Cv6uNUFsVWdnp6LVBBH0pkY6hyLXriSyeB7OeIpI9Gk9YQc3+Kuo2fQaA1pqCWDgBWWdBSi4CZwso1Aip+cjKWqT0DxAMQzCqs5lw4yvYq3cRDngxZBQSDvgZefGD6JIysOT1j4my70PuakJu3ILs7UJK7Uu/WZeTOWIa3o4W9CnZWPP6If6FBTGAkFqKMPQ05M3dEzDy2L+DUot67EVImYMREgvw1VeSNmQS4WCA9j0bUJsS6TPjfGqWfYTGmoKoUBH2exEEkWGzLkS9bh6E/dBvJnbBisGkRDH9DmSvHUGlRfY5kVP7I027mcjepWDOQswpI/z2uYiHX0vkq/9E7wuVDvGEx0hVG0lTeRAkGbl1I5Fld6E84m4Czg7M2cVozClsee12kGWCri6WzTsb14GJd01CKhNufA1LTjxWSJxu5EALQjCb3Q4jmaXdCy+IegjZQf1/T6QoNTpkWcavTkThbDlkOsXPXtrC8En5aLQ9U56NnFrIpy9sjoviOL85cVH8M2jb1TvogKdmPZmFx5Cab0KbXkDF4vfpkz6NyFd3ASD0Owp59XNEqrtnlcUjbsCYnUvdro10Vm4hb8RkhsyYg9q+D33pcARl1FzPXr0zJogharK34fmbmPKfj9GYkzCk5VF24T2se+Iq5EgYQRAZeu5tGH7iKjFEBfbQs2+lYPKpBJydGNLzMWf1wdlUhaO+ElGlwZJTgtaaeujG4vyu0FpTUReOJBC8FNXKhxCrF9F/Vj2LLs0EZJTC+fQ7egRG9Qa8Ci2dTokU1xJ2fbqNxs3LQRCYcMPLhGY+TMTVRcTtx165j7Sps4ksvA65oTvFjDT9dsJLH0IYcTaUHMX8eZcRPmBKu+qpfzLx3KuRIkECrmhE94792/GNOROtIuF/MTRxfmEESzbSrNsJv3MDeNpBqSU4+WbWvvMkjsb92Hatoa1yE4bk7rRykaCfTS/ewvjrXkS54hO2v/MQ1ZmFjD/jNrT+drL7D0Of9RitFVvQpxeQ2n8sKoMZV0sN4e9xNWmtKkcMX0d6/2+wiAqIHLT+l1JKRIx+iG2f/xotA8dTcPiVtFVsQf5mPiklM0kYPIfOvZvwijpy1z3fI8es3LQDod8M6KhCt/5JzKOuw2OrJ71kEKa1DyIsXB7zwBOn3oTcWQfOZqjfgG/UFSz55zGxPktKNXmTZiMoNQg5I79nNHtu0ydnoU/umY4vuWT4Ia9JxF5P+M1zkPcfiAYuKlBd8CmpA3r78v+VETRmFDPnIQ86AdlWgZDWHyFnBGpDz4lhf1cb29+4m7ShhzPg1OswpufhbKqiz/TTScjPJxjUok3KwO/sxO/10j70ErRphXgFA13Ve2l2dZJLA6otr0ZTig08gXD5V0hrn0Wa9TiR5Y8SPiDMI/P/iXDYpYTSh9FpayO5qx554b9jWa2FosMRCyegq/6S5u0tmLL6kDehPyGvG5XRStDnigliAF9HC9XfvseQM//1Ww1rnD8CQRstu+tw+AWKi7qzPgiSAUK93aK+iyAI6C1JuAQvekcTpPX7wbKyLDP/5a2cdX3vSfAhh2Xz4VMbcHR6e1ogxYnzK/O7FMWCIGQDrwKpRIMwPivL8iP/2151kz78CBo3fd1jW/LAI/j7lDHk9U1FbxKxFvQHf3eeRyEY6CGIASIrn0Qxu4ytr88DoHbtF2SWTWXEBbcjWLtNp31d3zFDBDytdQQ9TjTmJARRJHv0DMw5pXjam9BaUzBlFiEpVD/r/NRGCyn9uvPDduzbxrf/mUPQE/WjSygczOjLH8eQmvOz2o/zvyOpdBQeUyKRogmI7hZSLF6OfE+i+nMBSaeh1W9h/eoVuFtqkMMhxl75MOlDzVFRLMvYKjYil4xg3UuXxwIJlRTn9hDEAOEVTyIOmQ3NOwnXb0ObmIqrqdtfvbmxNXY/ASQWDSGMEUFX/NsMRJxfFUFUIeQMRjz1PPBJBHTjWPr4bbht3b6aHRUbSR90WI96zsZ9REIBRl36EI76SsIBH2JmMU63nfaKTYS8TlKHHYGjdg/2ml0kFg8jZeB4lBodNcs+6NFW2qAJJBc72fnFpwydOg/dyvvA1Yqc2o/A5H8jqrTkT5pN7cpPSRs4njWPXh6rW/3te4y/7gXWf/wao678FyzY1vskuxpBlwBVK/GkbWHDe88w/fLbEap6pqCKrHgCsewsIssfRUrvjymriMNveYO2is3IgkhK31FYC36D1Ef1m7sFMUAkROjjq1BeugRBF5+MOhjBlI4w8Lj/s4w2IR1JraVp09c0HfgeUOrNTLn1OfTpfRGVJoSAG8FsxNHVRUdnGw0fvIjGkkzR9PNoK7fh6HMc5oEnoBLDSMZUgrsWIYV8yG17kRsPuuf8TuTF82gbfwf6rFLkD67q0Rd57xLEaTej2PYhQ069l8ZtK6hbPZ8Bp1yNs7kGd0st36V9z0bC4SCSpCQSCdO5bxu28nVISg3JfUdiye37/z+Qcf5QyIF2ti7fRl5OIqJ0kMWIqEMOdXJoD+EDJtQhGynOFgCW2Ft5pL6SBKWK67JLKD2Qr3vbyjpESSCnT+9nj1avomR4Oss/qWDGOYN/iVOLE+dH8bsUxUAIuFqW5U2CIBiBjYIgfCXL8q7/dccA0oZMImfccdSu/ASAzJHTKZhwDPqU7tn77MOOJGzbFwvvLQc9vRvyOQj6e65wNGz4ir4nXkbCQaLYkNY7wFVK/7FoLCmxv0WFEktOKZacQ5ubyLKMq7kab0czGksyhvT8HzSZCwf97P74iR4CpmPfVtrK18dF8R8QQRDQZxZDZrf4zCmF5BGtLL39dBo+7w4ypNSbEBQG0spGk1Oxi9Ydq7DmDYhGOnV1ok1II+CyI4a8vQ/ktoHWgqDSEw6G8XUu7bFb1JqoXxk1HU0qKUOXnIUxcwiC8Ht9JMX5qYjGwbh1bQTcawl4fD0E8Q+RMmAsIb8PtdFKct/oCmnH/u0svfXkmH+mKCkZNOcGVj98CRllUxly9q10Vu0ge+xM6lZF76nEkuEo9SY8jg1YCgay9O0XKJlwNnqLFXtHByZ3hLrF7xIOeBk2dx6VC17s0Y+w34u9Zjdjr3oal7ATedAMhG8e7lFGSCqEjW8gJxTS1daCLEcItNXSayrSawe1HhILEPLHE/nmXgzf3ItBY0aacgNiWubPG+CfiOz5HjPyjipkvzsuin8GhrRcxlzxBGsfv4KAy47KYGHUZY9gzBmFLMtE9i3DtOgqsO1BV3A4Hbkz2FVbTjjop71iA+UfR/3ch5x9C8XTz4sGJXI7kZNLERTfYwKvS8TtcmEI+SDY+5kry2HkASew5e0H6Krp/lQadMY/0fQbRePGxT3KZ46YhiRFrSU6Kjaz5PZTYpG0lVojk259F2veD6/0xflzIcsh6nYFkOQIiRnfsQSUDBD8cRGltSYrjnYbOJpY3NnCmeXruCAtn/ZQgElbl/J40TBOSs5iwatbKZuc/4PBuAaNyeKbD3bFRXGc35Tf5ReoLMtNQNOB352CIOwGMoHfhSjWJ2VSNvduSo69CJAxpOWh1Ohj+2WXDf3aJ7FPmop15Dmw7mUEvxMUmmi6j/9SMo3dK77s1X440FMoW3JLGXXZI2x68WaCbgcJhUMYes6tKLX6XnV/DE2bvmbNI5cR8nsQlWpGXHQv2WOOQfyeaKMhnwd71c5e2w8OChbnj4/aaCW53yicjVFRXHTUOUgKFXsXvUrKwHEUTz8XQ2oubXs2Ys4tZcDJ1+BqqUZjSUZILYTvmKcK/WeCLoFI+z5CA6cTDrwQ26fUmUgeOAZRocSY1Yew30ti8VC0Cb+NOIjz2xEIJfH1A8+SOeIokvuPxbaz21omqe8odKk5KLVGggfyCOeOO4Ha5R9gySlBOuA+0rBuYUwQQ9R9pGXHKqwFA2nc8BUlx16MpFASCYfod1J0tVepM9G6YyW5449HodKQ3Hc0EX0SnU43ERRIai3pwyfj62wBZCLfY34th4KkDhyHzpVKV7KMqeVYxF2fgaRCHHkukdoNIKlwj7yUfa9GU+mEzTmgUEPooPZKjyKUMRzVyHOR9y8jsvDfBwbHTfjDfyAYUxEGHv8Lj3xvhJTe/qPCsNMQjGm/+rH/jAiCQPrQw5ky73P8XW1ozMmxiXG5dQ+h52bG3vfSvm9I9HeRO2oqqsRsqr55J9bOjrfvJ6NsGoaUbDR5w/Ee9xghRyOqiVchf/tgtJCowDP+Wva8+yq6rFJ0BWMQ9nf70KM2IBszcGmz6Kp5vkc/93zyNP1Pvor8SSdTvfxDiETIHDUdQamiedtyWneuRhBF+p14GeWfPEU44CPoddK8+Zu4KP4LIQfa2bPRQK5VQND1DKglKExEPD/u81tnTaK1dgdORwsXVGzg+uwShhqsAJQZrFy1bwsV9i6WflDO9U8d/YPtDBidybuPr8PnCaLRKX+wXJw4vyS/S1F8MIIg5AFDgbXf2T4XmAuQk/Pbr1gqNLrYCyMSCuJ3tKPUmRAVSuSOaoR1b6IvLKRpaiZJA97AUdeA4ZSXkHbPB3crGNMJDj8H656dOFrqsVdHhWdC4WB0ST3FgaRUkzv+eJL6lBHyudEmpn1vOo0fg6ulhrWPXRH7yIwE/ax/8hosuf0wZ/fpVV5lsJAz/jh2f/R4j+1JJWU/6/h/Ff7X9+dPRVQoKZ15ISGfh4CrC2dTFS1bvwWiKyJrH7scV3M1GcOnotTq2fneg7G67QPGMmbOW0h7FkDzLuT0ATBwFvaGSsLZ0/BrHAy/9SYcu2tQqk2kZvdF9tqxlW+gaPp5qA0/716O8/P5re5PXXImE29+i3WPX0n2mGNIHTAOW/la0gZNIH34FNorN1M0/RwEhGgKD0nE09lKJBSMiWKf3dar3aC7C6X2v5HJZSoWvEDrjpU0rP0iVmboObciaQyUf/IUQ875N7s+eBT/AVeUyoUvM/S8O7DtWkvF/BcYfMZNbHzuxlhdQVKQ3H8M4VAQRdCEqOmHbaaAadTpEFSilJTgbME/6GxWPHsbYX905a6mfDdFRz+CdsNTCO37CBUfRYt5CP7qRkr6H014bc8VA0vYigAAIABJREFUaYyphJvLEX8D62khcyjSGW8Q/uRqcLUiDJmNNPlaBMXv64Pzj/bsNKRkY/hOJGe5rbLnBDgg1m+k9PR/Ul9dFUuhBRAKeIkcSOMkKVWoMvoRUUjI/g4Cp7+Lt247XlnN9k/fJ+hxokzJwFEyG+OSJMSdSxEGn0xk8Mms//Q1Ugb2dEeAqLWXq6WGjqrtlB57EZa8fth2r0Op1rPszjNi5dTmJIaddwdb37iLgLMTX1d7jz6GD1hw/NX5o92fPxbbjiXIsoQ54gDdd9K6SWYIdRD1Zvy/jah1liScLg+PoaefzhQTxACFWgMPFg5h3nPL0WQp2a8NMEjWofye1WKdUU1uSRLrv67isJm9v03jxPk1+F2LYkEQDMAHwBWyLDsO3ifL8rPAswBlZWXy91T/Teiqq6BiwQu0bF1GyqDDKJlxPsb/x959h7dV3Y8ffx/t7b1nbCd2nJ04hJAQyICwyl5lFNpCWwoUSgdl/Ch0QFs6KN8W6IBCKZRZ9p6BQDZZzrQTOx7x3pZtzfP7Q4pH5CTOsCXH5/U8emwdXd370dXR1T2653yO0Q5aA4b//pKUed9hc9NaajZ8xtzzr8bW3YrwdONNP4HtH73MrmWvkLP4ChInz8Pn7iZ52qlYEwa/Yta/e/aR6m5twNPdMaDM7/PQ3VI3aKNYCMG4hZfhrKugYsUbaPVGJl3yQ+LGzzzqWI5nkVI/D4ctOZui7/2Oll0b+eTnl/SWGx2xdNaWA2BPy2P7648OeJ7d4UC01yDrtiFjs+lMPIHPH7wNd2crGSedS1vFNtJPWcK42QswvfcQFD9L26IHmHz5j1WDOEyGu352NdWw5/NX2P3Rs1gTM5nzgz/j97gpefcpdAYzQqtDZzBhS8qkrWI7KTMW0lq5g+Lnfk/W/POQ5V/g3f0ZwhrH5IVnUbnyrQFzuSdPO4Wtr/wFc0wSeoudxu1rQmLw+7zozXayF12O3+3ubRDvU/rOk0y86GbanryXhIlzmHvrI5S+929MUfHknXkteouDdf+8k5q1H5I89RQmnH0RHdRQt3EVZR+8wsTzvk9sXiYyOM+x1mAiKjOfvU1OOsV0HAVnULllHa0Vj7HoFy8jtFpE0iRkWeBquWbBLeD3Ire+gdfdibboKkTS8GVbFXoj2ukXI8bNA08XIjp98G66YTYaj537E6bo0EKjjeaKHbTs3sHUK++g+Pk/4Pe6yTzpXCzx6Xhd3dRu/IytL/0Zn9fFxHO/i0HYafU5qN2wjOicKRRe8kM2PPEA067/EZ7TT8ZQeBWsfhw+foDp86/Eac1CZ7QM6FmRveAiqte8R3djDY3WKGJypmKOSWTHG38bEJ6rrRHp6mD21bez56vPSS06DSkljTvWsvWlh+is3UPO4svJPPkCrPFjt1fP8VA/B1P++ZskZhsRNcHhHv1pzCA04OsE7cGnSTTZoujwwSOOXB5MDP3RIEFvZPybnfhPTeGxml3Ue1ycEpXAdck5OHQDmySFs1P5/I0dqlGsjJiIbRQLIfQEGsTPSCn/d6jlw6GnrZEVD32f9qoSAMo/eZ6m7WtYeO/z6M/8BXLvRojOxr1rK7PPuRz7+z8Cvw8A3e7PGX/Gbyn70sCuD55mxrd+gcmRSHz+8DY2zdEJvd0V99Fo9QfNJm1LyqToew9SePEtaHR6rAkZfan6leOKTm9EZ7Qc8HFLQir+ft37zbHJFGTGIF77AQBiz0rsW99k1rl3seLZh0maOJuCiXmYmrej3+hEYqJz5nX4dGZW/+n7nHrvCyFXWZTRTfr9lL7/b7a/Gpg+yVlfSdLkeWx58U/4fR4Aqte8h6utiXFLrsAan0bxf3+HJT6V8Wd9i2SrDx7/Wm/2Zq05mqU/fZYvnvw9Po+LnMVfp3n3ZtJPOIOC827AEptC3PiZNGwbOCuAwRYD+Jl0wY1UrngrJE5PTweWuBQW3PUfHGm5ONJyST3hdITQ4O3u5PMHrqWp5CsmLb2cbIsT/ZMXY7XGY5v1HZqSAsfA2NypLHngTRq3raa9aic73/wHjvTxxOZNo2r9J5jjUph+zT29ibQ0J34L/4bnEdknIWuKkSWBBE2yci3+4lfRfe99NFGpIbEeS5qolGFdv0IgY/X0y5Ab+rpJ98y9leK3X6KraS8t5VuYcPZ1AOQs/jo6g5HaTZ/z5R++07v86kd/wgnf/yPb/vcX4vKL6GqoYs0jP0Kj1aNrasfc0YD/+W+DlAhAv+tTLOc/yqTLfkzD1hV0N9WQOus0OuvKscSmkLPochp3rKOlrBhXaz2ens79w8bXVktMQwn+oq8RN2EmrXu2sexXV/YOL9j83IO4ne1MueL2MT911/HE7/Wwd8Mapp1ihhYbQgxyfqeLRbprEOaDN4qFRsOXMxYwoW0vGYOcS1RtaKCprI3LfjoLjU5Dp9fLh2113LprA/+XNx1rv2F8k09M468/+zjQi+gAY48V5ViKyEaxCNT+x4FtUso/Hmr5cNk3TdHAst101JQTf+L1+IpfRbRWk73gYqx73u9tEO9j3PgMadPmU7H6Azr37mb80muGPWZbUhZzbnqIlQ/3G1P83d9iP8T0TTqjCUda3rDHp4SfLXkcabOXUr3mPQDc7S3YkrLorNsDfknaCWdQteptAHJPPA3D+scHrsDtxKHtJq3oNBKiDJhbW/FvfRV/VzPi4seoKK3Bs+sdupr20lFdqhrFx5nu5lpK3vnXgDKfp6e3QbxP9boP0Gi1bHkpkMCqqeQrajcsI/Hq7++3wlZMLSUsvPcFpPSjM1nxONvQWexodQY66ypIO+F0OusCyQMRguwFFyEJ9GwQgDkuBaHV9SYSAsg86Vx0FgexwWEwsqsFUVOMdDYgzYm42huxJqSTZetBv/ofvbFY3r+d6Yt/C1mzMdpjMdrBlZbLmr/9FL/HhbOhkvqtK5j343+QWDgXTb+rH5r0mehu/hzZtAvfExcOfJ0NJci67TDMjWJl+AlrLLrzfo8suhJvcyXNLe1s/fITupr2AtDVUEXipLkkTT2592S/apAfblwdLRjsMdQXf9FbNuHs67C3bYOmnSAHXqg0FL+IMfN8uptqMcem4MgowO/zEp01kY3/uZ+EwhNp2LqCzro9ZJ50Ljvf6ht/LLQ6YhwWdB8/hza+CJ+7h/bKHSHj7UvefZK8M64Z01eLjzcNW1dhjrZj0oA8QKNX6OPAVQXmg1+19QGvT5rLdVveRJ5ybUhj9v37VzP1vFw0ukDD26bTcX5sGi82VvHPmjJuSe9LApqY7kCn11CysY4J01XuA2X4RWSjGJgHXA1sFkJsCJbdKaV8O4wxhdAaTL3/x009Cxk/H58PXMQivd1QuRbfF48ivvY4OlvoWBypNeB3BU4Uo9NzQx4fLimzFnPab98eUvZpZezRm61M/8Y9JE4+ieq1H2COT2POD/6Pus3LsSZl4O5sxRgVR93m5ZgT0qE8dEyiOTqBGdFr0b14DX6DFfd5/6CitA3nrhiiciZR+ujVwMDPkHJ80Oj0GCwOul19GXIHu/KQfsKZbH/jsQFlnu4O2p1uQlIIup3oLX0na0ZH3IDtVW9cS+IZv8XVoyE+3kvd8r+TbDRhjorH7WzD3d3JtKvupHr1e7jam0mdtRhXZytGW6Cbq+xqwfv23ciVgUaC0GiZd879VNW1Yti23zhgKYk2eNAVzO4tihk3mYU/f57yT1+iu6WOnMWXEzt+xoAGcW+8SQWBHwiECGnUdDXVoG3ciyVeNYxHO2FPRBQsxVm+lc8ePivkvdabbQMaDMao+JB1tOzezMl3PEXFl6/TUrqRhMK5JOfmo/3oLkiZHLpNrY7Uxs+RJy3Bo7Oz/dX/w5qcTVd9IPO7x9lOwoJb6NndhNuewKSvJ1P52fMYo+MpnL8E+5e/BSnR6bRotHq0htDu9YZg7hTl+LF3/UfEpMdBTyPCZBt0GaFPQnaXIqIXHXRd72oM2H1+UprqwNMFhr6j+ebXd1O/o4X5N+yXREHA2bEpPFi1g8sSM0gOnhcIISicncqKd0pVo1gZERHZKJZSLudQo/kjgD01JzDe1uXgjffT+PLdQEbmcZM6+PW/FpNevRHicvG17qXFEEOc3jxgKoWuwkvZ+9RfiJ8ws3f6kZEghMCeMg57SuhUT4oCgfHr48+4lvFnXNtbZo5J5JP7LmXCmd+iYvmrRGcVUrHhS5Lm3ozu/bv7nmyJQ+OsRVezAZEznzZjPk897uWlx6uBahJSy/npb36Dd9eLONLVvMTHG1N0AtOuvouVD/+gt0xotFgSMuhqqOwtSygoouRtPT72m17GvN94TI0WkROaQGgft4xiXfWZvHx3YA7e+BQbdz70TeLyAo0GgzUKe2IGlaveRmi0ONLHU77sZWZ88z6swcanrCnubRAD4Pdh/vL3RM+7F1mfhAjOuQlAXA7a9GkDfkgUQhA3fgZx42cMaR+J+FzE7GuQq5/s22TKNHZtWou+qp7Ci29V3QWPE/aUceSedjW73v93b1n6iWdhTxv4Q3janKWUvP34gKnHck+/KmSqRdnVgud9DyJlCmj1sK8HhhBoJizB9+bt2C66kGUP/xS/z4PBFo3Q6dCb7Wgm3syPr9pIV4cbrbaM6+6cwsyTLiY7yYjp9e+D9OPPnochuwi92UpM3nRsydm9OSUgMMWTud90kMroV7v+U3LnxCDr6xCmA3SPNqYj2z4Dfw9oBv8x2w/8SW/lzI69dPoM4GzsbRSXrajhlduWcdods9HqQy/CWLRaimwxvNG0l+tT+nouTpydymev7eCaO+Yf9etUlEOJyEbxaKE3WZl82Y/58OVdfPlu3xyAZVsaePXJrdx4Yg6a+BwSsvL44tXnmLjgl9hbt6Jxd8KU82lt6WHiBTeSNvNUbOnDl2BFUY6FztpynHUVbH35YfLOvBZrfDrOxirKGp2kLLkf8941aJPy0KZNR9ZvRzP5XGTtFkqsl/LS45/3rqdhbwcvPt3Jff/6I6ZBro4oo1/qrNM49Z7naNi+BkfGBAzWKOLyi+ioKcPV3kRCwWxi82Yw6dLb2PDkvb3PM0UlYE2dgObiR5FfPAL2JLSLfopIP3Cuhe3ranj50Y299xtrOnn2sTomzp9O1er36GqowpE+nnGnXoazfg/enm4mnHMdsXnTe58jO0MzXNPZQEx6Hv6Yn6B94VrQGdEuuRPZUIr/4wehvQZNwelHNKWRMFjQLv057uTpyJKP8MROoN5lYucrj2O0x5Kz5IqD5nlQRg+d0cyki24heerJtJQVE5VZQNyEmSEzSMSOm8LCX7xMw7ZV+L1uEiaeSGxOaFpyYYlBe84D+F66Ce1Ff0WWfQHeHkT6zEB2cylxtjT0Dleo37qSKZf/FF3iTP5wz066OgKZrn0+yd9+uYm/fXQhptpH8OefQfvEr+NDS0zjFtyf3Isxbhyn/eDX7K1ppLOugoT8ImLz1Lyxx5Puljp62hqwRUUh97gh6gCNYmECYxqycx3CMW/QRV7UmtACcwwGdnpAdjbiMaby4e/WsvaZ7Zxyy3QS8w+cwXy2PZZ/1u7mW8nj0AZ/FBw/LYl//epzOlp7sEernmXK8FKN4qNkjklk56avQspXf7KXb01xY975Amx5i+nn/Y3y4vVU9tiJHnciNk08dVtepmb9J2Sfeskga1aUyKIzWRBaHbmnXYU1MZNd7/+H9BOW0rK3jI5myFl4K3HjChF1xfje/yXUbwchqO1oCVnXpi+qcXkPnNBLGd10JguJk+YSlVnAlhf/ROl7TwFgdMQz76f/JD54RTVr/vlY4lKpXv0u9rRc0madRlRmPnAScsaloNUfMkNyXWVbSNmmL6vYvWI5pc/d1ls29Yo7mPC16wcdKiLicwLZVaW/ryxjFubs6WCwIRPHIZ2N+J67LnD1A/DtWoZccifa0/9fb+JBr7uH5pKvqF77IQZbNKkzFxMzbtKgcWuiUmnQZ7J1WztdTW/g6QpMsGCMikerj7ys0MqRM0XHkzb7dNJmn37Q5WKyC4c0N3B9jwEx62asrY0YEwtg1ROwvi+pl97eN7xA+rxULH+V+EX30LD3w5B1NdZ70F/8MDVffcTqv93OonPPR7PsfiBw5Y91z5Bx0zI084d/Lm1l5NVvWUF01iSEbER2d0PSgRNpaSxT8bd+itYxFxg4JKZMaHlAb+V2jxO90YQQgtri3fz3vhKiUq1c8McFWGIO3qhNNBixafVsdrYxPTi0xWDUkTc1iVXv72LJpYMfSxXlWFEphI+BKXNDp0qad0o0psZ1gTvdLVC7hT3LX6V510Y2/vtXVHzxKqbYJIq++1uVsEIZFeypucy6/gH2fPEanbVlNO1cy8b//Jrmkq9oLlnP+qfuwycl0tMdaBADSElKgjtkXTNPzcQRp371Pd61lm/tbRADuNobWff3n+HqbAXAaI8h/YSlzLnpTxRecFOwQRwgjLYhTRmUkh06/c2MUzJp3vT6gLLiF/+Is7Zi0HWI5Elov/Ec2BIC9zNmob3kMYQ5GqHVocmcDZ6e3gbxPv5P/4hs7VtnffEXfPqLr1Py9uNseeEPfHLfpbSUbz1g7DHjJuN1dfc2iBGCqVfegcE2yJQ+igJ01u1h5Z9/wGdP/ZF3n/gLu6ua8SVNCfyoozOiWXoP0bkziM7ua0C07tlKVIye5MyBV6eFAG13KR17y9j4zG8YV7QQ08anB27Q3YWsXDcSL00Jg7riL4nKnID0tkNXNxxgTDEAhhQQemT3wASz24WWyw1RXOLtIVsGZ1jRWPn3jxrIXZDGwttmHrJBvM8kq4PlbQN77hQUpfDFWyUHeIaiHDuqUXwMzFiQyRlX9XVzKpwVz9kntyCad/UtJATujhbaKrbj97pxtTfTuH2NGterjBp6sw292UZ3c+2AaZk66/bQWVuOq7UBn8eN0A5MwjKh6xWuvnEC+4ZIpo6L4tofT8FsMYxk+EoYdLfUhpS1VWzH42wfZOkjUzAzhWvumIdGE6hgqeOiue6uWTRvWzZgOb/Hhc/TM+g6hFaPdsp56G5die5HX6G7/m00qVMHLjPYGN9+ZZ4eJ1te+vOAh73dnTRsXbn/s3rZkrNYcNfTzLn5z8z45i9Y9IuXSZqqxs4pB+Zqb+mdUlFKP5vefJqVZT14vv0euh+vR7v4Z1hTcpn3o79x4i1/Yca197Lw3hfImj6Z//fE2UTFmQHQG7Tc+IvpODc9QXdLbWCeYikDjesQanz78aph60qisgqRnnZwHaJRDAhzLrJzU+/9ZRo9lxmjucTXwyJ/3w/gxctycMR1MeXcg89ssr9JFgcrOpp7538HmHxCGivf3YXff9xMC61EKNV9+hhISHPwk7+exWU/mIPH4yOdjVhfvqhvAVsCLfvlkonPL+qdikRRRg0p8Xtc6K1RIdlzc0+/GnN0AlLrR6TPRFYFhhXYyl/hqpMzmTl/Ae1NrRg9u0lOCb16rBx/rINMt5UwcQ5GR+wx24Yj1sw3717Akksn0dXhIi0nBgPNlJjtfVdggYTCE7EmhPbq6U8TnQ7RB1gmZSo4kqG9r6GvWXQ7IjoTCMzP7OvpCnmaz90dUtafPTkbe3L2QZdRlH3MsYmYohLo6Xc1ral0M15rMpr4vuRd1sSMkM9fwXQbd99vprMnCbPRRefmP9JZtxt3Vye5p1/NrvefJufCb2D69Jd9TzLaEZlFw/66lJHX3VqPq70JW2Im3r3tYDAjDjETiTCm42/9GIASoeUHBgc/9DjJl31TjjaUeajcGsXscw7/6m6y3oTXL6l0d5MZnOc4PtWOxWFg+7oaCmerzPzK8FGN4mPEYjNQMCsFAOk04Tf9B//65/HHj6cjZhKe9h4sCekIBFmnXEjDtlWkzlyMNT4Nf9V6ZEsFwpGMSJ6MMIZMSKIoESEqswC92U75speYdtVdlH/6Ij3tTeQt+TrZk6fjbyhBkzAe7ZVPI7e+ib/0M5iwhPraNipevhGN3si0K+8kJlMllhsLorMnMf3ae9n0zAP4PS7sqbnMuPZe9OaDX404HNLrRt+0lXFiDyItCREbgzAGrsAWP/97WnZvJu2EM8j/2ncGTOt0uDTxOeiufwv/xv8hazahmX4JmrxFveOJDRY7Bed9j9WP/Kj3OUKjJbFw7lG/RkXZxxKXyom3/oWVD91ET1sDerOdohseDMlmPehzY5KIixfs/e/d7Pu5SGswYU/OJDZ3Khqtjm0l25h45h8wV36GiMtBM+NSNINM/zQU0utG1m7pd34zCWE8dp995eg0bltNdFZh4AfuLieYh5DcTxcL3g6kv4s7TSlc6O0Z0CAG+OLpDvLngtffA5LD62ggIN9iZ21Hc2+jGKBwdhrL39ypGsXKsBJSjv7uCEVFRXLt2rXhDuOAOusqcDvbEUiayzazZ9n/SJ5+ChnzzsVS+Tm+56/rveKmPeM+NAtuQRjMYY5aGYIhHeojvX4eruZdmyh59190VO8m/2vX49B7Mb/3E2ipAJMD3XfeQbPflYWetiacDVXoLTZsydlqXuyRERH10+/30VlbjqerE2tCOqaouEM/6TD41r+A79lrepNkaZb8DO3CnyCMNrw9XXi6OjA6YkdkblVXZyu1G5ex863HMUXFkf+17xJfMFvV91ARUTdHs66mvXQ312N0xGJLyhzy83paG6he+z67PngGW3I2+WdfR9yEQHZ3KSU9rQ1oDSYMVsdRxSelxL/umf3Ob+5Fs+DW0XB+Mybq57p/3IkEMuYswvvpJYjOHMSkg89DDOBveo2vkq7gB7ZCHvR00P/o1lrj5ambGjj7R2b2Fi8n/6JbQzKtH8omZxtbnW38JqdvCEvJpjreeGID/9nw3cNa13FKjWcYJupK8Qjo/4UVnT2JzPnnozda8DeU4v3fzQO6oPre/Tmi4PSDTkGiKOEUmzuV2d97EL/XjSj5EN+Tl/U92NOO7737ENe8MODExxQVd8wbQ8rooNFocaQe+irWkfA3leF76fsDskb7P/wNmsJzEJmz0Zks6Ewjl+XcaIsma955pM9eChot2hFoiCtjkyUuFUvc4V81M0UnkLvkSrJOvhCNVo9G13caKITAHHNs5iCWjbvwhZzf3IsoWKrObyJE/ZYVjD/72+BtA5fukOOJ9xH6WJ7SR7HE72b/n/u+et3JuCIjBosRo9ZPV30FhnGhU4sdTJ7JxosNlbilH0NwjHvOpATqK9upq2wjKePwGtmKMlQq0dYIExoN+n1dQrqawR06Bk12NoaUKUok0Wh16IwWaNgZ8pjcuxFcxy6RkqIcUHcLuDpCimVnfRiC6aM1mFSDWIloOqN5QIP4mDvg+c0gc4IrI66ntYHu1npsydlIXzv0aMA8tN4BXbp4PjEmM983MDeI1y0p/qCLvDkmEBpMBh3Oml0HWMuBWbRakgwmtvZLyKjVapg8N53PXttx2OtTlKFSjeIRJKXE2VCFs74S6fcHEro49vulV2dCxGYN+nxPVwc+r2cEIlWUoRGp00LKNFMvBGt8GKJRRiPp9+Pu6sDv9x164f2IqDSI3S+Dv1aP2L9sGPW0NdFZuwdPj3PEtqmMTj6vh866CrqaasIdyvCLzoCo/aab1JkQsdkhi0opA8cAn3dkYlOo3/IlMdmTAkM7fG3Q7Qfz0HIufG7NJ9ddj4OBwy93LO8mJk2HLS5w/dhoMuJsqD6i+HJNNr7qbBlQNvWkdD584cBT3CnK0VKN4hHiam9mx+uP8d6PTuPd2xaz5aWHcEk9um88B/syRtqT0V37IiJhwoDnOhur2f7aY3x09wWs+ettNO/aNMgWFGXkiczZaM6+H/SBrtL+vEU4c8+mo3ZPmCNTRoP2vbvZ9Oxv+Oju89nwr3tpqzy8qwDCnoTu6v/AvmOmLRHdNS8gEoc/kZv0+6nduIwP7z6Pt29ZwIo/3EBbZWjPCUUBcNZXsv5fP+edHy7k/Z+eQdknzx/XP6RoolLQfeO/hzy/6agpp/j53/PR3efz1T/vpnXP9pEPdgyq2biMqKyJgTveNuj2gGVo86O/b85melfosW7jW12MK+qbW95osdLT0Yo8gh88x5ttrOsY2CieWJTKrs31NNaE9g5SlGNBjSkeIfVbvmTTs7/pvb/15T9jTUhn3MJL0d/4KbKjDixxaKIHXjn2eT1sf/URdn3wHwDaq0uoWf8Ji3/9Go4hZJtUlOEkzNHU2SbTM+Mn6HQ6qnYUU/3r6yj67u+wxKehMxgPvRJlTHJ3trLmsZ/QtCOQqKajupTaTZ+x8N4XMMcMIQtqkCajCP2NnyDba8ASE5hWaQS0Ve1k+W+/jd8X6L1Tu2kZ3n92c/LtTxxVlmvl+COlZPenL7D7w2eAfXX/p1gS0kmaPC/M0Q0fTdacg57feLo6Wf/EPdRuCswp3lFdSs3GT1n0y/9hPYLx0srQSCmp3bCMaVffHbjfVQd+CYZD51+QwDJDPHc3loJ5MmgMALRUe2nc42HuFX3jkjUGC3q9k+6mGszxqXR3t2I02tFqDz20JNtkpcLVRZvXQ1RwKIreoGXK3MDV4stvmXMEr1xRDk41ikdI5cq3Q8rKlr1I9ikXI+yJCHtfcgvp9yEbdiJbq/Ebo2gt38qERRci/X7KV3+Mp6udtqqdqlGshJ3P58Fdt4vYhDi0BittrW0A1G1eTtLU+eji0w6xBmWs6qgt720Q79NZW05H9e7DahQDCFs8wjayXfY7asp6G8TmmEQmn3YRVj2Ims34E3LROA7vNSjHL1dHM+WfvhhS3lyy/rhuFAMh5zf9ddbt6W0Q79PdVENHVemQG8WyvRZZvzMwbCIxH2GNRXa1gM+NsKvP4GBadm9GazBhiU0GQLZUgdWCEIdOarxDa8YgJUnSG+h2rUnA7xGsfs5HeqEVra7fOgxWDIYmtu34iNp1exAaHT6fm+zME5g0celBs/LrhCBLFKh3AAAgAElEQVTPHOhCvTC6r/4ULcrmrSc3qkaxMixUo3iERGXkU7XyrQFlMdmTeue43EdKiX/zq/ievRZ8btDoWHD2A8ji16CtmtxLr2XjmnUqiYsSGep2kLr5L4imQDKNgglLSL35Acq3bkIb+dNuKGGk1RkGLdfoR8exzWgLZEA12mM5+aKrsXx8D3i68S/XwsKf4E+bjnb8IoRZZUod63RGC/aUHLr3G0tsjksJU0SRQaPTIYQG2S97fKB88GPD/mTdNjxPXQb1gWEXIv90tKfehvfV26CrGe38G9EUXYWIUled+6tc9TbxE2b1FbTsBcvQMk9/qYtiks8JWhvS10Z3cxZb/lPItk/fJXf8ZCo+gvQFlWj0frxaHbu1bfhbu5ky/WuYzVG43V2U7l7OitVPMfeEb6DRHLgZMt5sZ2V784BGcf6MZJ57aBU71teQP2Nsf36UY0+NKR4h6XPOwNRvqgODLZrsUy8NWU42lgbm9duX1c/vRb59J5q8U6C5DNNHP2fKvFP6xoIoSphIvw/5xSO9DWIAdn5ItKeG7AUXYHLEhi84JeLZUrIZt+jyAWUpMxdjT8sLU0SHJypzIhknnUvBwvOwfHY/eLoDD/h9+D/+LaJuK3L35+ENUokIOqOZyZfehlbfN5wkKqOA+Pyigzzr+GdLzibvzG8OKEsonIsjffwhnyv9fnwrH+9tEAPIHe/jL/kYmsugoxbfO/8P//rnj3nco5n0+6n84nUSCk/sK2tpQFhjhvT85fooCrxdCI0Fd4uHrU9PwWXajiNZkHtaEwBl7+XQ3eNidcMWLNJHdJcGszGQ2dpgsFA4YQl+v5cNm1496LYKLXbWdjTj6zetl0arYe6Zebz4lzWH+9IV5ZDUleIREpWRz8J7X6RtzzaklERnFmBPzQldsLM+dBoDnwf8fVkZrbVr0S++aZgjVpRDcHXiH+ykv3YLMdMuHvl4lFFFZ7Qw+dLbSJ56Mo07vyImZzIJBXMw2oaW7CXcjPYYZlz7c2TlOlj/wMAHpUR63fjXPYtm0jnhCVCJKPH5RSy+/3Xaq3aiNZiJzirEmjC2h5do9UYmnvd94gtm07h9DdHZE0mceOLQ5rT3dCNLPg4tby4LzOoR/LHW98WjaIquHvHhFZGqYdsqNDo9tuTsvsLWDsifesjn+oG1OjsXuxqQWhul7ywmKq+FrR9WkjnZhtBIYgsbqdtmYfWuVSTGJZDorqBRp8fd2YJh3w/lGg3j805h4+bXqKzaQEb69EG3F60zEK0zsNnZxvR+3wvzzh7PL7/5Ojf8ehFxyUO7wq0oQ6EaxSOkq6mG9upS/F439rTx2FIOMGWIIwVMUdDT1lemM0G/sRciNnOYo1WUUH6/j7Y922mvLkFvcRCdNRHDhCX495urWMTnIYaQSENRzDFJpBadhiUhnc6aMjr27kJrMGKKGh0nsKaoePxyEl57EnTU9T2g0SJ0BohRx2qlT3RmAdGZw58ZfTQxRceTMedMMuacOaDc1dlKa/lWelrqsCZmEJ01EZ3J2reAwYIoPAdZu2XgChPGQ/HrvXeFIxn0puF8CaPKzrefIHnGwt7xw9LVEcg87Th0V+QdWgt26SNGemkqnYarzY55/B5aa93MOitwzPbIHmoy3sLUmoXWmQOxjRgMVrqbavoaxYBWqyc/71Q2Fb9BfPw4zKbBh5lMtjr4pLVhQKPYHm1izuk5PHn/cn708BlHszsUZQDVKB4BzvoqvvzTDbTsDkylpNEZWHDX0yT2676yjyYuB91VT+N95hvQ3QpGG9rFd+D78rHAAiYHmikXjmT4igJAffGXfP6ba5HBuSTjC2Yz55t3Y9izClm1DgDNtIsgbToaNYZLGaLq1e+y8uEf9N7POPEcZnz7F5gcQ7haFAE00enorvw33n9fAV1NYLCgXfgTfJteQXfZ38MdnqKMOp7uTra+/DAlbz/eWzb9mp+Td8Y1vcmZhBBoZl+NLFuOLPsiUDbrSuhuB68r8CSNFu3SnyOM6moiQHt1KY3bV3PCkod6y2TVV2AFoTv0Plqls1Pgc+L3aij/ZD4pk//Hmo/jyZpiQ6MVuP09bHV+hF0XT3xiIi07jTR2zcE6rhJnUw1R4yYNWJ/VFk9y8kTWb/wfJ53wTRgkz9d0WzT/V13KjWm5GETfiM/TLpvE/de/ycU3FpGVPzp+RFUin2oUj4DmXRt6G8QAfq+bTc88wCl3P4PeHHog0hQsRXfrSuioAVsSeHrQWmICVx8yZ6NJnhTyHEUZTq6OFjY8eW9vgxigcfsaWhvqSbny38i6reD3QVQampTJYYxUGU2cjdV89cQ9A8oqV75JzmlXYpp8UpiiOnyavFPR3boSWb89kAeipxPdFf9SnwVFOQLt1aUDGsQAm555gORpC3D0yzmgSRiP+ObLyMZS0BoQCXnItr2IjJnQ04HImIlImznS4Ueszf/9HelzzkJn6Lty7t/1MTh0IA6cCXqfL/VR5Pu6qVufhzHKiTDWU77ewKnXpuLyd7HV+Ql2XQIJ+mwAYiY00b7LSOOmmQhjLdUdPfhcGrQmiC3QYU7WkJE2jQ2bXqOyevBu1DE6A2lGM5+1NbKkX8ItR6yZpVdO4Vffep3HPrsWrValSFKOnmoUj4Ce1saQss7acrw9zkEbxQCauHEQ16+LdYpqCCvh43V14ayvDCl3d7agSciDhNGRHEmJLN6eLtydrSHlg5VFOk1sJqihLYpy1NzOtpAyv9eNp6sjpFxYYhCZs/vuJ4wPdKFWBqjfsoKmkvXMvuHB3jLpdSEr1kO+45DPl8AanZ2znC1UfllIxqkb2fBhHGnjNfiNgQZxjC6VOH3fMVBoISqzAW9HNe0dDhDdWBJseHskFR+4SZqtI7pAx/jck9m05U0SE/IwDnJVf64jjhfqK1gclTBg2qhTzptA8aoq/nnvMr77y4VHt4MUBdUoHhGDZYrOPuVijKNk3JyimKITyTz5Aso+fm5AuT1NnXwoR84Sm0JC4Yk0bF3ZWya0OuwHyrmgKMpxz5aYhd5sx9Pd1wi2JmdhTUgPY1Sjl8/rZt0/7iT3tKsGZECX5SvBEQsm40GeHVCiNWOUfryrxmFJaAV9O9tXG5l+QQPFztUk6XOI0g0yLllnQkct5kQzQrcXS0rgfNic6Kf2Sy/GOA22hAQSE/JYv+lVrPHXsmKrgfI6LR3dGoQAs8FBjyGW723o4ZQsM0XZMD4xkIn6mtvn8fub3yVvahKLLyk8VrtMGaNUf4MREJs7jTk3/xmjIw6h0ZJ96qXkLb3moBOXK0ok0er0FJx3A5nzz0cIDaboROb+8BFixqkeDMqR01tszPz2L0mZsQgAa2IGJ9/+BFEZ+WGOTFGUcLGnZDP/Z//CETwOxOXP5qRbH8UUnRDmyEanHa//DYMjlviC2QPK/Ts/RMQnDGk88Qqdg4nubvauLiBhcjkbP+wialwPFZadpBoKBm8QA+j04Peht1jpaWlABqdX0ls1xEzUUvu5G/ySqNg5vL7hbJ75SEOMzc85c3q47gwn31rq5MJ53ZyU76VUNrOq3McPn4NLH4O3N4Etxsz1957C777/NltWVR/1vlLGNnWleATojCay5p9PQuFc/J4ezHEpaIc4Ob2iRAp7cjZF3/tdYL5NgwlzTFK4Q1KOA1HpE5h761/paW1AZ7YNbToWRVGOawkFs1n48+fxONswOuLQW+zhDmlUctZXsuPNfzDzW78c0PVYujqRezfBjEKE5tDZuT/TR5FcHIMtuZkuUU/x8g4SLygjSyRjkAdrSgjQm9HhQ0o/3p5O9ObAe2lN09C+x8euYiMv7MgnN6kOq+8p8tMuGNCN2myQTLfp8Dv8VLhK+eGscdQ1GPj3Cnj5K/jV+bFc8cM53H7h8zyx+joS0w7dHVxRBqOuFI8gS2wStqQs1SBWRi2d3ogtKUs1iJVjSmeyYEvOUg1iRVF6Ge0x2JKzVYP4KGz49y9Jn70Uc0zigHJZvgIRn4vwNyF0g0+HtI8HwSpdFPaPcvFN+ZB33tiOY7yT3NjxGHSx4Kk/eBAGM7jaMdhj6G6q6S0WQiAzLTy7cQJFeQ0UTegiPiGb7Ts/RuIPWc1MWwyZRgt/qtpJhamW6xd7yEuEa54AX3oGJ509njsveQmvxzf0HaQo/ahG8QiRfj/te3fTVLKe7pZDHEAUZZTqbqmnqWQ97Xt3I/2hX2qKMtb4/T7aq3fRVLph0KSLyvGvp7WBptINdOzdpY6Lyohp2L6GptL1pM89J+Qxf8mniJTJSE896GMHeXafr3Q2opt1eCf9nS2N6+jemE7+bBsaNKA3Yc+qIe3Etxi39Blylj5D2onvYksuJ5CeCzDYoLsVkyMOZ9Pe3i7UXR4tr1QUkKdpIFXTDkBCXA7gY0/F2kFjmWmL4WtxqVS5uvl91XYa4iu4YLaHH78IppmTERrB3+/59Aj3mDLWqe7TI8Dr7qHi8/+x/l/34vO4sCSkc9IPHyE2d1q4Q1OUY6apdCMr/nQDXY3VaA0mZnzzPjLnnz9g+gdFGUu8PV2UffoCG/9zP36PC2tyFifd+ggx49RUTWNF8+7NrHjo+zjrKtDqjUy75h6yF1yEzmgOd2jKcUxKyYan7iP7lEvQ6gf2TpQuJ7K2GDHxVKj1g8Z60HW97kzB0bEdb0wlrqdPIH06GG0+HJm7iRm/A0+nka66eFp2TQXAGNVMbP4GHJk7qdtwMj7MgalFdTo0Gj2utkYMjgT+tzmXtCgn+cY2Wkv8mJMMIARpadMp3f0FDnsSsTFZIfHE6AwsiEpgjiOWzc423vDt4PQ52fz6LRs3nzuPN/74BicuzWXmqdnHancqY4S6UjwC2ip2sPbvd+DzBCaU72qoYs3ffoZrFE47oiiDcXW0sObRH9PVGEh04XP3sPZvt9NesSPMkSlK+LTu2cb6f/0cf/DY76zdw1dP3IN7kKlllOOP29nGur/fgbOuAgCfx8VX/7yLtj3bwhyZcryrWvk23p4ukqbMC3lMln2BSMgDXx1CnwiI0BUE9Xh8vGnTMq6tkujKKXTU+Zl+1TqyT3sLa/JemrcX0rx9Ej31BqRPj/Tp6WlOoqH4BLzdVjJOfgNTTAOYoqCzDnNMPB215Xxcmo7Hp2F6aiOmOA0+F7iaAleQdTojmekz2FmyjO7uA58nG4WWIlssZ8am8Jm3nCUntvPX5QbSL13Evd94lfaW7qPej8rYohrFI2Cw+V3b9mzF1doQhmgU5djraW2gvWpnSLmzIbTuK8pY0VlfEVLWtHMdrramMESjjDRXWxMtZZtDyp0NVWGIRhkrfB4XG5+5n5xFlyNE6Gm+f9s7iNRpyO4SMCQfeD1+P38oLmN6/DYuXbKa4rdczL5uE1odNGyaQcvOQjxOOwh9oF3td/U9WWroqM6ltWwiKUWfEDWlAdqrMdii2dmWzpbaaOZl16ARgbHF1mQNrSXe3qdbLDEkJxVQvO1dPN6DN24T9UbOjkvlM08F58938kZFDB1TZvHr697s7aqtKEMRsY1iIcQZQogdQohSIcTPwh3P0dg/wQEEph4x2KLDEI2iHHsGezSWuNSQcpNKyKWMYZbY0BNOR1oeBpvKjjoW6G1R2JKzQ8rVcVEZTiVvP4E5NpmYnCkhj/mbypCtVZBciOzaijBlDroOv/TzZvkyZl63jetyX+HjXxVhidJhMqbRWZ2Bz7XfsChhBBnaeHW1JtBQfAKOrHLSziyhsbOeFV2nM924DL3w9C5nTtTg6ZS9V4sBomPScTiS2LLtXfx+T8i6+4vVGVgck8Rb3WV8c6GLPdZ0XqhN44nfrTro8xSlv4hsFAshtMBfgTOBQuDrQohROyt3VNZECi64qfe+zmih6Lu/U3PuKccNc3Qis294EG2/cXITL7iZqKyJYYxKUcIrOquQCWd9u/e+zmxj1vUPYLQfPLGNcnwwOeIo+s5v0Jn6xmzmn/s9otVxURkmnfUVbHvtUXJPu2rQx/2rn0STMw881YAGdKEZ//3Sz0fud8m8toxiz0S+/N1ZlH6UTP7SzgNvWGMEX9egD/lcFhq3zKZi72RerriAxbNeJ7ugDFfbBvw+NwBCI7Cla2je6oF+V3eTEiag15nZsu19/P6DZ5VOM5iZYY3hpfZyblziJzU/kVvecvDr3+9QV4yVIYnURFsnAKVSyt0AQojngPOArWGN6ggZLHYKz7+R9Nmn4+powZaYiT01J9xhKcoxlTh5Hqf/5m066ysw2mNxpOehM1rCHZaihI3BFsWkS28jY965uJ1tgWN/yrhwh6WMoMRJczntgbfobKjAYIvGkZaH3nTwxEaKciT8Xg+r/u8WMud+bdBeKv7yFciGEjSn3oa/6QWEJZ/9xxP3eN0sN79K/PxOVq48j907kml5zMDMy1swmA/SsBQGkK2AD9CGPFzfmcCzK85jamIxyb5KDAkQnV6LRruV7tZ4XB3jMcWPo7sBOsr82HOC6xCCtNQpVFZvoHjbO0wqOB2t9sDTmk62RtHsdfNcUznfXpDDhBjJb17z8PTqXdx3QzLnzbNgMkTk9UAlAohI/PVECHExcIaU8rrg/auBOVLKm/ot8x3gOwCZmZmz9uzZE5ZYlTHtgNkpVP1UIoCqn0qkUnVTiWSjrn76/T7WPPIjOusrmXzpbSFjiWVrJd5Xfoh21tUQZcdX9Sc0iVcEuj0HlbVVsDP7I+LztOx55iKeqUlC97hk+oVtxGa7Dx2EtwW0NtD2zSstJWypn8C7padQlLqR7Jhq8LmhuwUcaQidC72pFlN0E0JI2qom0PDVJBKKzBhj+r0NUlJdU4zL1cmkgqUYjbYD7wskH7TUYdZouTopi9baLp5+oZKu1Cw6tFaWzDJzepGZuZOMFGTo0WoPnGgsQo26gEeLUdso7q+oqEiuXTv4nGaKMoyGdGBS9VMJE1U/lUil6qYSyUZV/XR1trL6r7fR01LPpItvQVO7CZrLwBoPCfnQXo3vs4fR5J+GyJiNv/5pQI+wzwZgb0c9K5pXYp7SQ3NxDtufnce2XQYsCV5mLGnFGnvwbsu9ZDf4usGQipRQ0ZbKZ3tOoK3HwdyMdcRZ+mWSdjvB0w2OVNBoQEq0hmbMMRXoDG4at0xCZ5+AMa5fbzMpaWwuo7FxN3nj5hEfn3vAUHxIPm2tx+n3cmVCFlE+LZ+9voM9e5zknjmTVp2d7ZUeGtv85KXqyM/QU5CpZ2KWnsIsA/kZegz6iG17Rmxgo12kdp+uBjL63U8PlimKoiiKoijKcUtKCXXbkS3liKSJiNjskGV62hopX/YyO954jIQJMymcOA75wnX4LLGImAyo2Yxc9wwYrGimXoRIzEc6i5HdZfTYL+DTFTWsLHbSXBdH866LAS26RA1dBYK0+d0U2tqH1PqSEpweK609qTR26qh25rOrJReN8JMfv4t5mWvRiP0uwBms4PdBRw3YkkCrw+eJo7M+Dq2uFXvWHsxRm+msT0LKcWhNWUhhID4uB4s5lrKKtVTXbiEzfTox0ensnyJJi2BxdBJbutr4y95SCq0O5p+fw8TKbpa/uQ69QctNV0xmwux0qpsklQ1eymq9LC92safWS02zj7w0HVNzDEzK1pOToicxRovDItBpBX4JHq/E65NIQKsRmA0Cu0UQY9PisAqEUG3X0SZSrxTrgJ3AYgKN4TXAFVLKLYMtHym/1iljzqj6NVkZc1T9VCKVqptKJDvq+tnVXEtXQxV+nxefuwePsx1XexM9bY24O1vxuroRQqA1mNDo9EifB29TBe6OZtytdYGbT+Lya/H7obEtFo9Xh0SDEFpcHoHbo0drNKK3C7w94NVFIy2xCL0Z0NBudyJMXvwaLy6XH2eblra9JlpLHbQ1xkCSgdjcVjQZPlrjo3AZDJjcPhzdXnRu8Pj1ePxGXD4jLp8Zl9dEj9dCt9dCj89Cj9eCy9eXXNOkc2LTtxFlaCDBXI/D1D7olFD9SZ8n0J1aCHobthpt4HkaPyaLE1OUE72pB7/bQE+nBbfTirvHhFt68Wg78UofWq8DnbCi0xnBF4tGb0QIDRqtFqyCvUJLhasLn4QMgxlrlZuuTa30tLhJyI0iIScKW7yZZLsFHRq6enzsbYXaTg3N3Vo6vFq6fVrcfg0SgUYD2uBNAD4/uH3g8oJf9lUfm86Hw+gj1iyJtwviHYJYh4YYmxa7RWAxChITTSSl29FpBRoRuHA+PdeA2XjAfada28MkIhvFAEKIs4CHCIzYf0JK+euDLNsAHKuBHfFA4zFa12jcvoph6NtvlFKecagVHeP62V+491E4jeXXDqOjfsLx/z6p13dkhrNuRvJ7EqmxRWpcEJ7Yjrp+PnpO6pRYi+7AGaEOQ3NbFE99cMmxWFWv0hmn0BI9+HRMh0vn7UFI/zFZ18EM9cKrlCCH2m4cprClRoNPbzz0ggfg3/1QlSz7c90BHh5S/VQOX8Q2isNFCLFWSlk0VrevYoiM7Q/FaIhxuIzl1w6j5/WPljiPlHp9kSeSY47U2CI1Lojs2A5XpL6WSI0LIje2SI1LOToqL7miKIqiKIqiKIoyZqlGsaIoiqIoiqIoijJmqUZxqL+P8e2DiiEStj8UoyHG4TKWXzuMntc/WuI8Uur1RZ5IjjlSY4vUuCCyYztckfpaIjUuiNzYIjUu5SioMcWKoiiKoiiKoijKmKWuFCuKoiiKoiiKoihjlmoUBwkhzhBC7BBClAohfjaM23lCCFEvhCjuVxYrhPhACFES/BsTLBdCiIeDMW0SQsw8BtvPEEJ8IoTYKoTYIoS4JQwxmIQQq4UQG4Mx3BcsHyeEWBXc1vNCCEOw3Bi8Xxp8PPtoYwiuVyuEWC+EeDMc2z8aI1VfI81gn5+x4kCf3UgkhHhQCLE9eMx4RQgR3e+xO4L1docQYmk44zwax9tn8HC/GyJRpLwnB9mX9wohqoUQG4K3s8IUX7kQYnMwhrXBsrC+z0KI/H77ZYMQol0IcWuk7LPDcah6GI5ziqF8fwghThVCtPXb1/cMd1z9th1SJ/d7XIhjfC46hJgGrZP7LRO2faYMAynlmL8RmAt5F5ADGICNQOEwbWsBMBMo7lf2O+Bnwf9/Bvw2+P9ZwDsEJuo+EVh1DLafAswM/m8HdgKFIxyDAGzB//XAquC6XwAuD5Y/BtwQ/P/7wGPB/y8Hnj9G78VtwLPAm8H7I7r90VBfI+022OdnrNwO9NkNd1wHiPV0QBf8/7f9jieFwfpqBMYF67E23PEewes77j6Dh/vdEGm3SHpPDrIv7wV+HAH7qhyI368sYt7n4HtZC2RFyj47zNgPWg/DcU4xlO8P4NR950Nh2G8hdXK/x4/5uegRvK+1QFak7DN1O/Y3daU44ASgVEq5W0rpBp4DzhuODUkpPwOa9ys+D3gq+P9TwPn9yv8tA1YC0UKIlKPcfo2U8qvg/x3ANiBthGOQUsrO4F198CaBRcBLB4hhX2wvAYuFGOo07oMTQqQDZwP/DN4XI7n9ozRi9TXSHODzMyYc5LMbcaSU70spvcG7K4H04P/nAc9JKV1SyjKglEB9Hm2Ou8/gEXw3RJqIeU9G02e1n0h6nxcDu6SUe8IYw5EaSj0c8XOKUVon+zvm56KHaTTXSWWIVKM4IA2o7He/ipE9WCRJKWuC/9cCSSMRV7DLzgwCV2pHNAYR6Lq8AagHPiDwy2prvxPp/tvpjSH4eBsQd5QhPAT8FPAH78eN8PaPRrjrqxJm+312I923CPzCD8dP3T1eXseghvjdEGki8j0Z5LN6U7D75xNh7IougfeFEOuEEN8JlkXS+3w58N9+9yNhnw3VUOphWM8pDvH9MVcEhra9I4SYNFIxMXid7C/cn+/962R/4dpnyjGmGsURRkopCRwchpUQwga8DNwqpWwf6RiklD4p5XQCV5BOAAqGc3v9CSHOAeqllOtGapuKcqwc7LM7wnF8KIQoHuR2Xr9l7gK8wDPhilM5POH+bjieDLIvHwVygelADfCHMIU2X0o5EzgTuFEIsaD/g+F8n0Ugl8e5wIvBokjZZ8eFQ3x/fEWge/A04P+AV0cwtIPWyXAapE72F859phxjqlEcUA1k9LufHiwbKXX7uoEE/9YPZ1xCCD2Bg+IzUsr/hSOGfaSUrcAnwFwC3WF0g2ynN4bg41FA01Fsdh5wrhCinEDXpkXAn0dw+0cr3PVVCZMDfHbDQkq5REo5eZDba8FYrwXOAa4MnmTD8VN3j5fXMcBhfjdEmoh6Twbbl1LKuuAPwn7gH4Rp6ICUsjr4tx54JRhHpLzPZwJfSSnrgjFGxD47DEOph2E5pzjU94eUsn3f0DYp5duAXggRP9xxBbc3WJ3sL5yf7wF1sr9w7jPl2FON4oA1wHgRyD5sINBN4vUR3P7rwDXB/68BXutX/o1g1r0TgbZ+3ZuOSHDcyuPANinlH8MUQ4IIZqMVQpiB0wiMb/kEuPgAMeyL7WLg434n2YdNSnmHlDJdSplN4L3+WEp55Uht/xgId31VwuAgn92II4Q4g8DwhHOllF39HnoduFwEsq+OA8YDq8MR41E67j6DR/DdEGki5j050L7cbwzkBcCIZ9EXQliFEPZ9/xNIildM5LzPX6dfN9VI2GeHaSj1cMTPKYby/SGESN43tlkIcQKBNsJINNYPVCf7O+bnoodhQJ3sL1z7TBkmMgKyfUXCjUBmu50ExrbeNYzb+S+BLkAeAmMivk1gLMlHQAnwIRAbXFYAfw3GtBkoOgbbn0+gW9QmYEPwdtYIxzAVWB+MoRi4J1ieQ+AEuZRANxVjsNwUvF8afDznGL4fp9KXfXrEtx/p9TXSboN9fsId0wi+9kE/u+GO6wCxlhIY/7Uvzsf6PXZXsN7uAM4Md6xH8RqPq8/g4X43ROItUt6Tg+zLp4Pfo5sInOSnhCG2HAIZkTcCW/btp0h4nwErgWk42wQAAAaRSURBVAZFVL+ysO+zI3gdIfUQ+AWBHwnDck5xkDr5PeB7wWVuCtaJjQQSJJ4U5jrZP7Zjfi56FHUy7PtM3YbnJoJvqqIoiqIoiqIoiqKMOar7tKIoiqIoiqIoijJmqUaxoiiKoiiKoiiKMmapRrGiKIqiKIqiKIoyZqlGsaIoiqIoiqIoijJmqUaxoiiKoiiKoiiKMmapRvEY8f/bu9dYO6oyjOP/JxVbakljBA2hJhWtKCXSQkETqRASRKQiVbSESFI0QohISoUoMQpilEZIbARN5RJaP6BgAnIxAiHcilqqvSA9lptQCCTY+EG0ptgIjx9m7XTYPWefc/a5bM6e55fsZPaaNbPWnKzMmXevd2YkvUfSzZKek7RJ0h8lLZV0gqRXJW2V9KSkq3vd14iI8Sbp9XKeG5D0uKRvSOr4P1DSXEnbyvICSZ8eQTv1c+p2SZfVyu9uq7tW0hll+SFJi7o/wug3tTG7TdKvJc0s5bva6i2XdG1ZvlzSxWV5raSXJU0v3w+UtKMsz5W0W9KWMk43Slo+mccXzdBhHLfKW59v9bqv0WwJihugvFj8N8Ajtg+1fTTVC+XnlCrrbS8AFgJLJH28R12NKaZ1cVYPHtrWr5X0fAlCnpb0C0lz9t3Tm7bZIenALvvzhRL0vNEeYEi6VNKzkp6SdHI3+48pbbftBbbnAycBpwCXjWL7BVTv9RyJ1jl1EfAlSUeNrqsRwN4xewSwh+r9qKP1OvDlIdb9zfZC2x+muiZYIemcLvsaMZShxnGrvPVZ1cM+RiQobogTgT2217QKbL9g+5p6Jdu7qV7ofsgk9y/62yW2jwQOA7YAD0h6+wS1tQ34HPBIvVDS4VQXffOBTwE/kzRtgvoQb3G2dwLnAheoMk3SVZL+JOkvks6r1y/j9QpgWZnRWCbp2JJxs0XSHyQdNkg7/wE2AR+YjOOKvrae7sbRauAiSW/rVMn2c8BK4MIu2ogYqW7HccSES1DcDPOBzcNVkvROYB5tAUXEeHDlx8ArVLN0w5K0sqRcbZO0olb+nTLj+6ikX7bSBW1vt/3UILv6LPAr2/+1/TzwLHDs2I8qpqoSBEwD3g18BXjV9jHAMcBXJb2vVncP8F3gljKjcQvwJLDY9sKy7oftbUh6F/AxYKAULa6nCwKnTdwRRr8oAe0pwBOlaP+2cXRFh81fBB4Fzh5BU5uBD42psxFDGG4cS1rWw+5F0PGXw+hPkn4KHEeVxnIJ1YXa41QB8Wrbr/Syf9H3Whded3SqJOlo4Bzgo4CAxyQ9THXe+jxwJLBf2d+mYdo8BNhQ+/4SyYiIvT4JfKR1fy8wm+p8+HSHbWYD6yTNA0w1FlsWS9oCvAGssj0g6QSqtOolrUqS1o7fIUQf2r8EvVDNsN1YlneX9HyguqeYKlV/KFdSnW9/O0x76rKfEZ2MaBxH9FqC4mYYoAoiALD9tXLP5p9L0XrbS8rMyAZJt9reOtiOIsbBSC+8jgNuLymoSLoNWEyV4XKH7deA1yTdNTHdjH4m6VCq+y13Uo3Jr9u+t63O3A67+D7woO2lpd5DtXVvCn4jujQuQYPtZ0pQ8sVhqi4Eto+1vYg2CX5jSkj6dDM8AMyQdH6tbGZ7pZJWugr45mR1LBqpFxdeLwPvrX2fU8qigSQdBKwBrrVt4F7gfEn7lfUflPSOts3+DRxQ+z6bvWNo+cT2OGLMfgBcPNTK8sPO1cA1Q9WJiOhnCYoboFz0nQ4cX54EvBFYx+DB7xrgE8PMkESMWnmg0YXAwcA9I9hkPXC6pJklQFlayn4PfEbSDEmzgJHMyN0JnClpesmImAds7OpAYqpq3b82ANwP3Ad8r6y7AfgrsLk8Rf3n7JtJ9SBweO3etx8BV5Y06WRdxVua7QH2fbbI+8uD4rYDtwI/sX3T5PcuGqr9nuI8fTp6SlW8FBExepJ22Z5VfkR5Bvh7bfVFwKnA8cC/qLITNgCX2n6pwz53AIts/0PSSva+TuQG26tLncuBs0p7O4F7bF8vaSnVTMdBwD+BrbZPLtt8u+zrf8AK278b8x8gIiIiIqa8BMURMeVImmV7l6SZVE9LP9f2sE9Yj4iIiIhol5SviJiKrivvHp4BrEtAHBERERHdykxxRPSEpMeA6W3FZ9t+YrD6ERERERETIUFxRERERERENFaePh0RERERERGNlaA4IiIiIiIiGitBcURERERERDRWguKIiIiIiIhorATFERERERER0Vj/BxRh+SKQiq93AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 970.875x900 with 30 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d1F7PmQBz0IP"
      },
      "source": [
        "##### Hereafter we will store dataset into new vriable after main operations (indented paragrpahs in introduction)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ePGPIEkzz0IQ"
      },
      "source": [
        "data_fe = data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WdzjI0e1z0Ia"
      },
      "source": [
        "#### 1-2 Feature Engineering \n",
        "##### 1-2-1 NaN imputation\n",
        "Let's look at the data to see if Null values are present in dataset."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6HZcC8DSz0Ic",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "outputId": "962e29d3-aae7-4e5f-e777-e41c6a67281b"
      },
      "source": [
        "data_fe.isna().sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Facies            0\n",
              "Formation         0\n",
              "Well Name         0\n",
              "Depth             0\n",
              "GR                0\n",
              "ILD_log10         0\n",
              "DeltaPHI          0\n",
              "PHIND             0\n",
              "PE              917\n",
              "NM_M              0\n",
              "RELPOS            0\n",
              "FaciesLabels      0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H5BYOWGBz0I9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "e3a55e7b-11c9-45c6-b4d0-fa469a630678"
      },
      "source": [
        "# to find out which wells do not have PE\n",
        "df_null = data_fe.loc[data_fe.PE.isna()]\n",
        "df_null['Well Name'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['ALEXANDER D', 'KIMZEY A', 'Recruit F9']\n",
              "Categories (3, object): ['ALEXANDER D', 'KIMZEY A', 'Recruit F9']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KtyUOkokz0JH"
      },
      "source": [
        "There are several ways to deal with Null values in the dataset. The simplest approach is to drop the rows containing at least one null value. This can be logical with a bigger size dataset but with small-sized dataframes single points are important. We can impute null values with mean or from adjacent data points in columns. Filling with mean value will not affect data variance and therefore will not have an impact on prediction accuracy, though can create data bias. Another approach, which I will implement here, to employe machine learning models to predict missing values. This is the best way of dealing with this dataset because we have just a single feature missing from the dataset, PE. There is a meaningful correlation between this feature with others. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4vfdd9Coz0JJ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 328
        },
        "outputId": "5768c5a7-ae34-4e4b-d224-9f802c85e38b"
      },
      "source": [
        "data_fe.corr()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Facies</th>\n",
              "      <th>Depth</th>\n",
              "      <th>GR</th>\n",
              "      <th>ILD_log10</th>\n",
              "      <th>DeltaPHI</th>\n",
              "      <th>PHIND</th>\n",
              "      <th>PE</th>\n",
              "      <th>NM_M</th>\n",
              "      <th>RELPOS</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Facies</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.306688</td>\n",
              "      <td>-0.386677</td>\n",
              "      <td>0.383166</td>\n",
              "      <td>-0.235005</td>\n",
              "      <td>-0.356453</td>\n",
              "      <td>0.704231</td>\n",
              "      <td>0.852721</td>\n",
              "      <td>0.076761</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Depth</th>\n",
              "      <td>0.306688</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.088636</td>\n",
              "      <td>0.202272</td>\n",
              "      <td>0.067694</td>\n",
              "      <td>-0.095834</td>\n",
              "      <td>0.277577</td>\n",
              "      <td>0.282318</td>\n",
              "      <td>0.001537</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GR</th>\n",
              "      <td>-0.386677</td>\n",
              "      <td>-0.088636</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.205855</td>\n",
              "      <td>0.178863</td>\n",
              "      <td>0.270729</td>\n",
              "      <td>-0.289023</td>\n",
              "      <td>-0.316284</td>\n",
              "      <td>-0.182051</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ILD_log10</th>\n",
              "      <td>0.383166</td>\n",
              "      <td>0.202272</td>\n",
              "      <td>-0.205855</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.104827</td>\n",
              "      <td>-0.544416</td>\n",
              "      <td>0.384589</td>\n",
              "      <td>0.493570</td>\n",
              "      <td>0.088227</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DeltaPHI</th>\n",
              "      <td>-0.235005</td>\n",
              "      <td>0.067694</td>\n",
              "      <td>0.178863</td>\n",
              "      <td>-0.104827</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.189355</td>\n",
              "      <td>0.011489</td>\n",
              "      <td>-0.177500</td>\n",
              "      <td>0.022470</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PHIND</th>\n",
              "      <td>-0.356453</td>\n",
              "      <td>-0.095834</td>\n",
              "      <td>0.270729</td>\n",
              "      <td>-0.544416</td>\n",
              "      <td>-0.189355</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.573418</td>\n",
              "      <td>-0.481024</td>\n",
              "      <td>-0.033328</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PE</th>\n",
              "      <td>0.704231</td>\n",
              "      <td>0.277577</td>\n",
              "      <td>-0.289023</td>\n",
              "      <td>0.384589</td>\n",
              "      <td>0.011489</td>\n",
              "      <td>-0.573418</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.657089</td>\n",
              "      <td>0.018905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NM_M</th>\n",
              "      <td>0.852721</td>\n",
              "      <td>0.282318</td>\n",
              "      <td>-0.316284</td>\n",
              "      <td>0.493570</td>\n",
              "      <td>-0.177500</td>\n",
              "      <td>-0.481024</td>\n",
              "      <td>0.657089</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.034015</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RELPOS</th>\n",
              "      <td>0.076761</td>\n",
              "      <td>0.001537</td>\n",
              "      <td>-0.182051</td>\n",
              "      <td>0.088227</td>\n",
              "      <td>0.022470</td>\n",
              "      <td>-0.033328</td>\n",
              "      <td>0.018905</td>\n",
              "      <td>0.034015</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Facies     Depth        GR  ...        PE      NM_M    RELPOS\n",
              "Facies     1.000000  0.306688 -0.386677  ...  0.704231  0.852721  0.076761\n",
              "Depth      0.306688  1.000000 -0.088636  ...  0.277577  0.282318  0.001537\n",
              "GR        -0.386677 -0.088636  1.000000  ... -0.289023 -0.316284 -0.182051\n",
              "ILD_log10  0.383166  0.202272 -0.205855  ...  0.384589  0.493570  0.088227\n",
              "DeltaPHI  -0.235005  0.067694  0.178863  ...  0.011489 -0.177500  0.022470\n",
              "PHIND     -0.356453 -0.095834  0.270729  ... -0.573418 -0.481024 -0.033328\n",
              "PE         0.704231  0.277577 -0.289023  ...  1.000000  0.657089  0.018905\n",
              "NM_M       0.852721  0.282318 -0.316284  ...  0.657089  1.000000  0.034015\n",
              "RELPOS     0.076761  0.001537 -0.182051  ...  0.018905  0.034015  1.000000\n",
              "\n",
              "[9 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H1VKPdXSz0Jq"
      },
      "source": [
        "We can use various ML models to predict PE log as countinious regression problem. Here, I will employ Multi-Layer Percepteron Neural Network from scikit-learn to predict target value. I am not going to deep for this approach and use simply to predict missing values."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a6FY7N-zz0Jv"
      },
      "source": [
        "from sklearn.neural_network import MLPRegressor\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn import linear_model"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ExuCl7zAz0J3"
      },
      "source": [
        "set_PE = data_fe[['Facies','Depth', 'GR', 'ILD_log10',\n",
        "       'DeltaPHI', 'PHIND', 'PE', 'NM_M', 'RELPOS']].dropna()  # select features and target log that has value\n",
        "X = set_PE[['Facies','Depth', 'GR', 'ILD_log10',\n",
        "       'DeltaPHI', 'PHIND', 'NM_M', 'RELPOS']]  # feature selection without null value\n",
        "XX = data_fe[['Facies','Depth', 'GR', 'ILD_log10',\n",
        "       'DeltaPHI', 'PHIND', 'NM_M', 'RELPOS']]\n",
        "y = set_PE['PE'] # target log\n",
        "# scaling\n",
        "scaler = StandardScaler()\n",
        "X = scaler.fit_transform(X)\n",
        "X_b = scaler.fit_transform(XX)\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FR-vk8BYz0J-",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "outputId": "41feef7e-e86c-4bed-91ea-f4e4d7a262db"
      },
      "source": [
        "%%time\n",
        "MLP_pe = MLPRegressor(random_state=1, max_iter= 500).fit(X_train, y_train) #fit the model\n",
        "MLP_pe.score(X_test, y_test) # examine accuracy"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "CPU times: user 8.82 s, sys: 6.37 s, total: 15.2 s\n",
            "Wall time: 7.73 s\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:571: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n",
            "  % self.max_iter, ConvergenceWarning)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uIqBbVrsz0KI"
      },
      "source": [
        "data_fe['PE_pred'] = MLP_pe.predict(X_b)  # predict PE\n",
        "data_fe.PE.fillna(data_fe.PE_pred, inplace =True) # fill NaN vakues with predicted PE"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1qvUxZ2uz0KR"
      },
      "source": [
        "###### Plot predecited PE"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TkRZEKS4z0KS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "outputId": "5a5abcdb-ec1a-48a2-e42b-2d8f1745ae6b"
      },
      "source": [
        "make_facies_log_plot(\n",
        "    data[data['Well Name'] == 'ALEXANDER D'],\n",
        "    facies_colors)\n",
        "plt.savefig(\"predicted_PE.png\", dpi=400)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 7 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fQHNkB5ez0Kb"
      },
      "source": [
        "# remove predicted PE column\n",
        "data_fe = data_fe.drop(columns=['PE_pred'])\n",
        "data = data.drop(columns=['PE_pred'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-YqUhtHtz0Kh"
      },
      "source": [
        "#### 1-2-2 Feature extraction"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OVb4Gr9Xz0Kj"
      },
      "source": [
        "Having limited set of features in this dataset can lead us to think about extracting some data from existing dataset."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OBcQy88_z0Kk"
      },
      "source": [
        "First, we can convert formation categorical data into numeric data. Our background knowledge can help us to predict that some facies are possibly presnet more in a specififc formation rather than others."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Oipyrq26z0Kl"
      },
      "source": [
        "# convert formation category data into numeric to use as predictor, add 1 starting from 1\n",
        "data_fe['Formation_num'] = LabelEncoder().fit_transform(data_fe['Formation'].astype('str')) + 1"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xupbNM0dz0Ks",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "outputId": "1a98a984-f897-43de-ab29-f5bcb90183be"
      },
      "source": [
        "data_fe['Well Name'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['SHRIMPLIN', 'ALEXANDER D', 'SHANKLE', 'LUKE G U', 'KIMZEY A', 'CROSS H CATTLE', 'NOLAN', 'Recruit F9', 'NEWBY', 'CHURCHMAN BIBLE']\n",
              "Categories (10, object): ['SHRIMPLIN', 'ALEXANDER D', 'SHANKLE', 'LUKE G U', ..., 'NOLAN',\n",
              "                          'Recruit F9', 'NEWBY', 'CHURCHMAN BIBLE']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_d8pqF0Sz0LB"
      },
      "source": [
        "#### Pick up a well as blind: \n",
        "machine learning algorithm will not see this data in the training process. We will use it at the end to see how the model works. Remember to select a well that includes all types of facies classes, otherwise in prediction, data dimension inconsistency will generate an error. Or simply add a lacking facies example to the well to avoid the problem."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q8rUhUnZz0LK"
      },
      "source": [
        "blind = data_fe[data_fe['Well Name'] == 'KIMZEY A']\n",
        "data_fe = data_fe[data_fe['Well Name'] != 'KIMZEY A']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZI19lbNHz0LP"
      },
      "source": [
        "To see if new feature extraction would assisst prediction improvment, we should define a baseline model then compare with extracted feature model.\n",
        "##### Baseline Model Performance"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "83tVCtL2z0LQ"
      },
      "source": [
        "X = data_fe[['Depth', 'GR', 'ILD_log10','DeltaPHI', 'PHIND', 'PE', 'NM_M', 'RELPOS', 'Formation_num']]\n",
        "y = data_fe['Facies']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8xefj6xCz0La"
      },
      "source": [
        "from numpy import mean\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.model_selection import RepeatedStratifiedKFold\n",
        "from sklearn.model_selection import cross_val_score\n",
        "from sklearn.linear_model import LogisticRegression"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BkmYLHvEz0Lk"
      },
      "source": [
        "For simplicity we will use logistic regression classifier as baseline model and will examine model performance with cross validation concept. Data will be splitted into 10 subgroups and process will be reapeted 3 times."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hRbDXlAVz0Ll",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "f622ac6c-e25a-432f-8d9b-7940ef52b1c1"
      },
      "source": [
        "model = LogisticRegression(solver='liblinear')\n",
        "cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=1)\n",
        "# evaluate model\n",
        "scores = cross_val_score(model, X, y, scoring='accuracy', cv=cv, n_jobs=-1)\n",
        "print('Accuracy: %.3f' % (mean(scores)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Accuracy: 0.573\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6z61KB4fz0Lu"
      },
      "source": [
        "Here, we can explore whether feature extraction can improve model performance. There are many approaches while we will use some transforms for chaining the distribution of the input variables such as Quantile Transformer and KBins Discretizer. Then, will remove linear dependencies between the input variables using PCA and TruncatedSVD.\n",
        "To study more refer [here](https://machinelearningmastery.com/quantile-transforms-for-machine-learning/).<br>\n",
        "Using feature union class, we will define a list of transforms to perform results aggregated together. This will create a dataset with lots of feature columns while we need to reduce dimensionality to faster and better performance. Finally, Recursive Feature Elimination, or RFE, technique can be used to select the most relevant features. We select 30 features. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IY2Ksbslz0Lv",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "409bb600-f795-47e7-bdbc-2b3297a2ee84"
      },
      "source": [
        "%%time\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.pipeline import FeatureUnion\n",
        "from sklearn.preprocessing import RobustScaler\n",
        "from sklearn.preprocessing import QuantileTransformer\n",
        "from sklearn.preprocessing import KBinsDiscretizer\n",
        "from sklearn.decomposition import TruncatedSVD\n",
        "from sklearn.feature_selection import RFE\n",
        "from sklearn.decomposition import PCA\n",
        "#-------------------------------------------------- append transforms into a list\n",
        "transforms = list()\n",
        "transforms.append(('qt', QuantileTransformer(n_quantiles=100, output_distribution='normal')))\n",
        "transforms.append(('kbd', KBinsDiscretizer(n_bins=10, encode='ordinal', strategy='uniform')))\n",
        "transforms.append(('pca', PCA(n_components=7)))\n",
        "transforms.append(('svd', TruncatedSVD(n_components=7)))\n",
        "#-------------------------------------------------- initialize the feature union\n",
        "fu = FeatureUnion(transforms)\n",
        "#-------------------------------------------------- define the feature selection\n",
        "rfe = RFE(estimator=LogisticRegression(solver='liblinear'), n_features_to_select=30)\n",
        "#-------------------------------------------------- define the model\n",
        "model = LogisticRegression(solver='liblinear')\n",
        "#-------------------------------------------------- use pipeline to chain operation\n",
        "steps = list()\n",
        "steps.append(('fu', fu))\n",
        "steps.append(('rfe', rfe))\n",
        "steps.append(('ml', model))\n",
        "pipeline = Pipeline(steps=steps)\n",
        "# define the cross-validation procedure\n",
        "cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=1)\n",
        "# evaluate model\n",
        "scores = cross_val_score(pipeline, X, y, scoring='accuracy', cv=cv, n_jobs=-1)\n",
        "# report performance\n",
        "print('Accuracy: %.3f' % (mean(scores)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Accuracy: 0.614\n",
            "CPU times: user 276 ms, sys: 42.1 ms, total: 318 ms\n",
            "Wall time: 40.9 s\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ue1Qi2_5z0L2"
      },
      "source": [
        "Accuracy improvement shows that feature extraction can be useful approach when we are dealing with limited features in dataset."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tGhAVQyQz0L3"
      },
      "source": [
        "#### 1-2-3 Oversampeling"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_3jEwzVcz0L4"
      },
      "source": [
        "In imbalanced datasets, we can use resampling technique to add some more data points to increase members of minority groups. This can be helpful whenever minority label targets has special importance such as credit card fraud detection. In that example, fraud can happen with less than 0.1 percent of transaction while it is important to detect fraud.<br>\n",
        "In this work, we will add pseudo observation for Dolomite class which has the lowest poulation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Mz1hmGEpz0L5"
      },
      "source": [
        "__Synthetic Minority Oversampling Technique, SMOTE__: the technique is used to select the nearest neighbors in the feature space, separate examples by adding a line and producing new examples along the line. The method is not merely generating the duplicates from the outnumbered class, but applied K-nearest neighbours to generate synthetic data."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FlhtuLguz0L6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "outputId": "c0297fdc-bb04-4c4a-a1c1-d15ae7683054"
      },
      "source": [
        "from imblearn.over_sampling import SMOTE\n",
        "smote = SMOTE()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/externals/six.py:31: FutureWarning: The module is deprecated in version 0.21 and will be removed in version 0.23 since we've dropped support for Python 2.7. Please rely on the official version of six (https://pypi.org/project/six/).\n",
            "  \"(https://pypi.org/project/six/).\", FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.neighbors.base module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.neighbors. Anything that cannot be imported from sklearn.neighbors is now part of the private API.\n",
            "  warnings.warn(message, FutureWarning)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tetufdKtz0ME",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "outputId": "8f249d0b-cb25-4a7a-a92a-0d935934c40e"
      },
      "source": [
        "X_sm1 , y_sm1 = smote.fit_sample(X,y)\n",
        "X_sm , y_sm = X_sm1 , y_sm1  # keep for fuuture plotting an cimparision"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
            "  warnings.warn(msg, category=FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
            "  warnings.warn(msg, category=FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
            "  warnings.warn(msg, category=FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
            "  warnings.warn(msg, category=FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
            "  warnings.warn(msg, category=FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
            "  warnings.warn(msg, category=FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
            "  warnings.warn(msg, category=FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SVorlweRz0Mb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "96b19d11-0e61-4419-baba-30a194192088"
      },
      "source": [
        "print(\"Before SMOTE: \", Counter(y))\n",
        "print(\"After SMOTE: \", Counter(y_sm))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Before SMOTE:  Counter({2: 855, 3: 706, 8: 596, 6: 531, 1: 259, 5: 243, 4: 228, 9: 178, 7: 114})\n",
            "After SMOTE:  Counter({3: 855, 2: 855, 8: 855, 6: 855, 7: 855, 4: 855, 5: 855, 9: 855, 1: 855})\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bx6twqu0z0Mm"
      },
      "source": [
        "Now, dataset is balanced. Let's see how works comparing Baseline model:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PzxWztpuz0Mo"
      },
      "source": [
        "scaler = StandardScaler()\n",
        "X_sm = scaler.fit_transform(X_sm)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yLcc9xzSz0Mz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "bffa1719-7383-4fdb-f1b7-b9d3be540e9b"
      },
      "source": [
        "model_bal = LogisticRegression(solver='liblinear')\n",
        "cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=1)\n",
        "# evaluate model\n",
        "scores = cross_val_score(model_bal, X_sm, y_sm, scoring='accuracy', cv=cv, n_jobs=-1)\n",
        "print('Accuracy: %.3f' % (mean(scores)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Accuracy: 0.615\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_yU3UorBz0M9"
      },
      "source": [
        "Accuracy improved by 3 percent but in multi-class classification, accuracy is not the best evaluation metrics. We will cover others in next parts."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wxN5099pz0M-"
      },
      "source": [
        "data_fi = data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OlN4EnRtz0NQ"
      },
      "source": [
        "#### 1-3 Feature Importance\n",
        "Some machine learning algorithms offer importance score to help the user to select the most efficient features for prediction.\n",
        "##### 1-3-1 Feature linear corrolation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wqnl8bp1z0NR"
      },
      "source": [
        "The concept is simple: features have higher correlation coefficient with target values are important for prediction. We can extract these coef's like: "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m4INAPI3z0NS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 434
        },
        "outputId": "16e1e223-4053-4292-cc33-7c538de1ca65"
      },
      "source": [
        "# logistic regression for feature importance\n",
        "from sklearn.datasets import make_classification\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from matplotlib import pyplot\n",
        "# define dataset\n",
        "model = LinearRegression()\n",
        "# fit the model\n",
        "model.fit(X, y)\n",
        "# get importance\n",
        "importance = model.coef_\n",
        "# summarize feature importance\n",
        "for i,v in enumerate(importance):\n",
        "\tprint('Feature: %0d, Score: %.5f' % (i,v))\n",
        "# plot feature importance\n",
        "pyplot.bar([x for x in range(len(importance))], importance)\n",
        "pyplot.title('Logistic Regression Coefficients as Feature Importance Scores')\n",
        "pyplot.savefig('reg_importance.png')\n",
        "pyplot.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Feature: 0, Score: 0.00118\n",
            "Feature: 1, Score: -0.00720\n",
            "Feature: 2, Score: -0.41975\n",
            "Feature: 3, Score: -0.03076\n",
            "Feature: 4, Score: 0.05193\n",
            "Feature: 5, Score: 0.93043\n",
            "Feature: 6, Score: 3.39447\n",
            "Feature: 7, Score: 0.32392\n",
            "Feature: 8, Score: -0.01335\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6azgY9Lkz0No"
      },
      "source": [
        "##### 1-3-2 Decision tree\n",
        "This algorithm provides importance scores based on the reduction in the criterion used to split in each node such as entropy or Gini."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OHIoI_D4z0N0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 434
        },
        "outputId": "2bb88dc1-a898-440a-9a08-82532ba936fe"
      },
      "source": [
        "from sklearn.tree import DecisionTreeClassifier\n",
        "model = DecisionTreeClassifier()\n",
        "# fit the model\n",
        "model.fit(X, y)\n",
        "# get importance\n",
        "importance = model.feature_importances_\n",
        "# summarize feature importance\n",
        "for i,v in enumerate(importance):\n",
        "\tprint('Feature: %0d, Score: %.5f' % (i,v))\n",
        "# plot feature importance\n",
        "pyplot.bar([x for x in range(len(importance))], importance)\n",
        "pyplot.title('Decision tree classifier Feature Importance Scores')\n",
        "pyplot.savefig('DTree.png')\n",
        "pyplot.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Feature: 0, Score: 0.19518\n",
            "Feature: 1, Score: 0.09978\n",
            "Feature: 2, Score: 0.11101\n",
            "Feature: 3, Score: 0.07850\n",
            "Feature: 4, Score: 0.10269\n",
            "Feature: 5, Score: 0.08001\n",
            "Feature: 6, Score: 0.17064\n",
            "Feature: 7, Score: 0.11438\n",
            "Feature: 8, Score: 0.04781\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G9Gb8py6z0Ok"
      },
      "source": [
        "XGBoost is a library that provides an efficient and effective implementation of the stochastic gradient boosting algorithm. This algorithm can be used with scikit-learn via the XGBRegressor and XGBClassifier classes."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-qXFqou3z0Ol",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 434
        },
        "outputId": "89ac17dd-8423-43ee-b1c6-e911de648fc1"
      },
      "source": [
        "#pip install xgboost\n",
        "from xgboost import XGBClassifier\n",
        "model = XGBClassifier()\n",
        "# fit the model\n",
        "model.fit(X, y)\n",
        "# get importance\n",
        "importance = model.feature_importances_\n",
        "# summarize feature importance\n",
        "for i,v in enumerate(importance):\n",
        "\tprint('Feature: %0d, Score: %.5f' % (i,v))\n",
        "# plot feature importance\n",
        "pyplot.bar([x for x in range(len(importance))], importance)\n",
        "pyplot.title('XGBoost classifier Feature Importance Scores')\n",
        "pyplot.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Feature: 0, Score: 0.05680\n",
            "Feature: 1, Score: 0.07540\n",
            "Feature: 2, Score: 0.06760\n",
            "Feature: 3, Score: 0.05381\n",
            "Feature: 4, Score: 0.08327\n",
            "Feature: 5, Score: 0.10069\n",
            "Feature: 6, Score: 0.42968\n",
            "Feature: 7, Score: 0.03966\n",
            "Feature: 8, Score: 0.09310\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AXFKQKJ4z0Ov"
      },
      "source": [
        "##### 1-3-3 Permutation feature importance"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "07EHoTBBz0Ow"
      },
      "source": [
        "[Permutation feature importance](https://scikit-learn.org/stable/modules/permutation_importance.html) is a model inspection technique that can be used for any fitted estimator when the data is tabular. This is especially useful for non-linear or opaque estimators. The permutation feature importance is defined to be the decrease in a model score when a single feature value is randomly shuffled. For more details[click](https://https://analyticsweek.com/content/how-to-calculate-feature-importance-with-python/)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a4hvlXqUz0Ox",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 434
        },
        "outputId": "b6caf3f5-2f5c-4cb1-eb81-3c0424068294"
      },
      "source": [
        "from sklearn.inspection import permutation_importance\n",
        "model = LogisticRegression(solver='liblinear')\n",
        "# fit the model\n",
        "model.fit(X, y)\n",
        "# perform permutation importance\n",
        "results = permutation_importance(model, X, y, scoring='accuracy')\n",
        "# get importance\n",
        "importance = results.importances_mean\n",
        "# summarize feature importance\n",
        "for i,v in enumerate(importance):\n",
        "\tprint('Feature: %0d, Score: %.5f' % (i,v))\n",
        "# plot feature importance\n",
        "pyplot.bar([x for x in range(len(importance))], importance)\n",
        "pyplot.title('Permutation Feature Importance Scores')\n",
        "pyplot.savefig('permu.png')\n",
        "pyplot.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Feature: 0, Score: 0.00124\n",
            "Feature: 1, Score: 0.03040\n",
            "Feature: 2, Score: 0.05817\n",
            "Feature: 3, Score: 0.03073\n",
            "Feature: 4, Score: 0.11283\n",
            "Feature: 5, Score: 0.08604\n",
            "Feature: 6, Score: 0.28873\n",
            "Feature: 7, Score: 0.03127\n",
            "Feature: 8, Score: 0.03202\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0_eVA27_z0PC"
      },
      "source": [
        "#### ^^^^^^^^^^^^^^^^^^^^^^^^^^^         End of Part 1        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yaDD3Ml7z0PO"
      },
      "source": [
        "### References:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "y84OAjFCz0PQ"
      },
      "source": [
        "1) https://jakevdp.github.io/PythonDataScienceHandbook/index.html <br>\n",
        "2) https://scikit-learn.org/stable/supervised_learning.html#supervised-learning<br>\n",
        "3) https://machinelearningmastery.com/<br>\n",
        "4) [Brendon Hall (GitHub)](https://github.com/brendonhall/facies_classification/blob/master/Facies%20Classification%20-%20SVM.ipynb)<br>"
      ]
    }
  ]
}