db927283_MachineLearning_EDA.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyP+REH25cg77Nz1rkUtSmXZ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
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  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/MichaelVanHouHei/-/blob/main/db927283_MachineLearning_EDA.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CIwzF_DhP3lV",
        "outputId": "32795ea0-9715-4b8e-f8a9-821744980181"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43m串流輸出內容已截斷至最後 5000 行。\u001b[0m\n",
            "  inflating: TrafficSignData/Training/00010/00021_00015.ppm  \n",
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            "  inflating: TrafficSignData/Training/00014/00015_00029.ppm  \n",
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            "  inflating: TrafficSignData/Training/00014/00016_00010.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00011.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00012.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00013.ppm  \n",
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            "  inflating: TrafficSignData/Training/00014/00016_00015.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00016.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00017.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00018.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00019.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00020.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00021.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00022.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00023.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00024.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00025.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00026.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00027.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00028.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00016_00029.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00000.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00001.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00002.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00003.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00004.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00005.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00006.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00007.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00008.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00009.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00010.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00011.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00012.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00013.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00014.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00015.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00016.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00017.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00018.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00019.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00020.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00021.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00022.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00023.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00024.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00025.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00026.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00027.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00028.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/00017_00029.ppm  \n",
            "  inflating: TrafficSignData/Training/00014/GT-00014.csv  \n"
          ]
        }
      ],
      "source": [
        "%matplotlib inline\n",
        "from google.colab import drive\n",
        "drive.mount('/gdrive/')\n",
        "!unzip '/gdrive/My Drive/Colab Notebooks/TrafficSignData.zip'"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "g5xtmDpgMarT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import threading\n",
        "import numpy as np\n",
        "from PIL import Image\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "ROOT = './TrafficSignData/Training'\n",
        "def readAllCsv():\n",
        "    dfs = []\n",
        "    for i in range(0,15): #denote that we have 15 class ( in each folder we have one csv with images)\n",
        "        prefix = ROOT + '/' + format(i, '05d') + '/' # subdirectory for class\n",
        "        dfs.append(pd.read_csv(prefix + 'GT-'+ format(i, '05d') + '.csv',sep=';'))\n",
        "    return pd.concat(dfs)\n"
      ],
      "metadata": {
        "id": "0FqOYC_5QoQ7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "all_csv = readAllCsv() \n",
        "all_csv.head()\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "-7SxUqs1TyIZ",
        "outputId": "2efa9425-10f5-4040-d1bf-003ca97c16f2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "          Filename  Width  Height  Roi.X1  Roi.Y1  Roi.X2  Roi.Y2  ClassId\n",
              "0  00000_00000.ppm     29      30       5       6      24      25        0\n",
              "1  00000_00001.ppm     30      30       5       5      25      25        0\n",
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              "      <script>\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-07e3a21c-133d-4a4b-b44c-98d153736d7c');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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            ]
          },
          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "all_csv.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6PqYs-aFVSnR",
        "outputId": "ce648af0-a700-43b0-969c-dd2043a8f042"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(15540, 8)"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "width = all_csv['Width'] \n",
        "height = all_csv['Height']\n",
        "max_width =width.max()\n",
        "max_height=height.max() \n",
        "min_width=width.min() \n",
        "mix_heght=height.min() \n",
        "avg_width = width.mean() \n",
        "avg_height = height.mean()\n",
        "print('max width:' , max_width ,' max height' , max_height , 'min width' , min_width, 'min height' , mix_heght , 'avg width' , avg_width , 'avg height',avg_height )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AgDc5WdEY_66",
        "outputId": "47641f2a-ecab-45d2-a904-82e6f7ddce12"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "max width: 224  max height 211 min width 25 min height 25 avg width 49.22528957528957 avg height 49.05649935649936\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "all_csv.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5oY2Mt8uKD9w",
        "outputId": "dc6c3ef5-010d-4098-c88b-dbe793cfadb3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Filename         Width  Height  Roi.X1  Roi.Y1  Roi.X2  Roi.Y2  ClassId\n",
              "00000_00000.ppm  25     25      5       5       20      20      13         1\n",
              "00026_00002.ppm  32     32      6       5       27      27      2          1\n",
              "00026_00000.ppm  26     25      6       5       21      20      3          1\n",
              "                        27      6       6       21      21      10         1\n",
              "                 27     26      5       6       22      21      5          1\n",
              "                                                                          ..\n",
              "00012_00004.ppm  30     32      6       6       25      27      1          1\n",
              "                 31     31      6       5       26      25      3          1\n",
              "                        32      6       6       26      27      9          1\n",
              "                 32     32      6       6       27      27      4          1\n",
              "00049_00029.ppm  111    111     10      10      102     102     1          1\n",
              "Length: 15540, dtype: int64"
            ]
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          "metadata": {},
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      "source": [
        "all_csv.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "NZ31LqCwJvFC",
        "outputId": "2bef92c0-6221-41b7-9b25-4b71f46fda62"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              Width        Height        Roi.X1        Roi.Y1        Roi.X2  \\\n",
              "count  15540.000000  15540.000000  15540.000000  15540.000000  15540.000000   \n",
              "mean      49.225290     49.056499      5.922651      5.895560     43.677606   \n",
              "std       22.620406     21.972416      1.343386      1.299965     21.525317   \n",
              "min       25.000000     25.000000      3.000000      5.000000     20.000000   \n",
              "25%       34.000000     34.000000      5.000000      5.000000     29.000000   \n",
              "50%       42.000000     42.000000      6.000000      6.000000     37.000000   \n",
              "75%       56.000000     56.000000      6.000000      6.000000     51.000000   \n",
              "max      224.000000    211.000000     19.000000     18.000000    205.000000   \n",
              "\n",
              "             Roi.Y2       ClassId  \n",
              "count  15540.000000  15540.000000  \n",
              "mean      43.522265      7.121622  \n",
              "std       20.931754      4.216151  \n",
              "min       20.000000      0.000000  \n",
              "25%       29.000000      3.000000  \n",
              "50%       37.000000      7.000000  \n",
              "75%       51.000000     11.000000  \n",
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              "\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Width</th>\n",
              "      <th>Height</th>\n",
              "      <th>Roi.X1</th>\n",
              "      <th>Roi.Y1</th>\n",
              "      <th>Roi.X2</th>\n",
              "      <th>Roi.Y2</th>\n",
              "      <th>ClassId</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>15540.000000</td>\n",
              "      <td>15540.000000</td>\n",
              "      <td>15540.000000</td>\n",
              "      <td>15540.000000</td>\n",
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              "      <td>15540.000000</td>\n",
              "      <td>15540.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>49.225290</td>\n",
              "      <td>49.056499</td>\n",
              "      <td>5.922651</td>\n",
              "      <td>5.895560</td>\n",
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              "      <th>std</th>\n",
              "      <td>22.620406</td>\n",
              "      <td>21.972416</td>\n",
              "      <td>1.343386</td>\n",
              "      <td>1.299965</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>25.000000</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>34.000000</td>\n",
              "      <td>34.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>42.000000</td>\n",
              "      <td>42.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>37.000000</td>\n",
              "      <td>37.000000</td>\n",
              "      <td>7.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>56.000000</td>\n",
              "      <td>56.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>51.000000</td>\n",
              "      <td>51.000000</td>\n",
              "      <td>11.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>224.000000</td>\n",
              "      <td>211.000000</td>\n",
              "      <td>19.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>205.000000</td>\n",
              "      <td>193.000000</td>\n",
              "      <td>14.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-60ed717e-88b6-4908-b022-2fb32b28ab13')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-60ed717e-88b6-4908-b022-2fb32b28ab13 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-60ed717e-88b6-4908-b022-2fb32b28ab13');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%matplotlib inline\n",
        "plt.figure(figsize=(12, 4))\n",
        "plt.bar(range(0, 15), all_csv.groupby('ClassId')['ClassId'].count())\n",
        "plt.title(\"Distribution of the train dataset\")\n",
        "plt.xlabel(\"Class number\")\n",
        "plt.ylabel(\"Number of images\")\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "lwqgiBY2iaR3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "outputId": "68bab273-deea-4aaf-e3aa-30a30c28eef2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "plt.figure(figsize=(12, 16.5))\n",
        "grouped = all_csv.groupby('ClassId')\n",
        "for i in range(0, 15):\n",
        "    plt.subplot(11, 4, i+1)\n",
        "    prefix = ROOT + '/' + format(i, '05d') + '/'\n",
        "    img=Image.open(prefix + grouped.nth(1)['Filename'][i])  # the 1th column is the filename\n",
        "    img=img.resize((32,32), Image.BICUBIC)\n",
        "    #draw the first image of each class\n",
        "    plt.imshow(img) \n",
        "    plt.title(i)\n",
        "    plt.axis('off')\n",
        "     \n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "77DPYSON_MM0",
        "outputId": "d001e492-6bff-4a30-ed46-ed17eb20bfdb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x1188 with 15 Axes>"
            ],
            "image/png": 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mcSU1kYlKnubNZ3Zn19dYtcrXsTX1kM2FHmpM75LhtaJtbZdqc3o+aR4cr420Hrf9KxfuGqsErw6gEbRSKNiSBNmyew2w4h7JYsvmvOGDhq3noP/Ej+DtO93VXBai0dbiR15/oXw1KfgtlYzVOn/5ipkRtZfaIwe4ONI7PsHaUm7v8/uwFL6SfM37hZgHappLa7sYuOoCz/dKKYWT3YJlimSKdnT9c/rDp+wOn7I/fEroj0ioqpcIao18CfFO6M/C9ajk3PEnnn/GTR+4evExu+MVHkCcOMRAd/UM2+0oux1iRix+suvdAHcjqQZET/dnptMAw4CcT8j9HYeikJUwgY6ZfHpDLgP91Y4uBvrYkzuhFGHMyikJlOwWmG5ux6eENJwxVUo6YiGAxQeLeHW/tHNRFo3L715tL86l3PM3WyJ+RdSVMEpLx7dqofmLooIQllRlzNcZ8wIQzf1eDM+6zOsRrs/lRc1oCsHsrlEhqhJDYN/3HPcHQuyI/W5TDZ4kGsGphEUErXRbYWZJhmfTPrQmPOheWi7G6nh44ka1zqlkrh3S/65mTNtL6yZmKyI3q1yzo3CZk831U+axLdlgfoAaRzwfrJIzBQlSVWWqUry4/zc8EZjVBCG+koy0n5/ZsOVCIXWs1ahHqLjwFtO7oFxzIsmDwfyB5pWsDIl2gtnqejuR7CuP/07ypa0sRHU9on5i9bHnandkr5E4JdI4Uc4nyEbsesKuY3dz4HB9IFpGzvfkn5xIZ53HVxKkAcahkH+SsGEgvvwRIY+kezhHobz8glPXk4oxlYIGdyXm4cTw8kdIynRTRgvUgkZMxcgFxvNAGiYkTTCO5HFgvH3DcLrHbu9hPBPGhFmmDBNWClEzIRh7IsfYcR8mX/LECKqb/v2E4BuVa12LPNyyyCr5qSpWk7rbZmci2OwyWT1evPZMSpnTqYAoJqNnUJ7PkDLFspOvWv6kZMOKzTW4KnNDBEKdT0FcEZ5Qr9fVEkHWykP9DHVfvSgzIcWPK0AMgb7fEbqebn+YE2Q2PB2YLUFeVrMBL3O//Hf3TPElKWMmM2YElCZf1SOt4qmW2Jk5kqYJaMuVNpj651JZa9dbKGJQQUUv98nKvUrNDHbhYUXScDnYrFByaaYPQkGsoAZxZSBt+LBR7G22sQTCL264B6F/M+mqNyse+9HbPH2EnAku0jR3uV3O5faKr06as8dvPULw/PFZqluOb4bx9nfxEO8mX7EWNatpkyIBCYF9f+DZ/hlXCv2QKOcz+e4WkYBeH4nHnqsX11y/uKEvE3r3muH2nonBTzoV0mScT0aeMtPrkTJN7O4+x/LExEihcFcKZsbdlLibJvY31zz79FuMt2949bu/hQwj+9MZyQUbUw2aLl4Uc0rkVOWKWqCw5ELOE3a69YzMaQQSCcPGQIwZiUbuAqXfczdNRFFMjBjCu76qDR8YAkIQWRGwthn5CVTMyzZYKR4cb9Ci2E1x8iVt8zCfR8XjvKYp82ZKNU6szqvTACV70L4ViuX2Yr8034qABECFED1TJmhARJg0eF2wXEiVtJWmEGhbd6qWURcYIdf4nOgKWOzY747E3Y7u6goNShfClqn7pGDVOPAfrcWSzIt83akKxgQ+pdXXJyuVtCtOwFieW719FU1D5VI5a8bI6v6LbaTups0wb7XkRAKqOqu/K/ZGK5kBTr5iK9pd47umqZCzj1sMJ14UoggSwsa9nggei79yVAPCrPIkWXjUOs5r9fpHaNzqcukTmNUorYWli6/Xs/rWjNf6fhfq7leSJLm8+tZr196Oeu/XLEv1TvLVgi61BkPGEIga6LQjak/JE6fhzHAeSdlrYeU0MI0nXr/6Ebkk7qZbdLdjLCcmG+YNKCUYBiNPhfF+JKfMdH6N5US0EW0Vbs24S4m7lNndv+F2OpHu77j/yQ/RKXE1jGgxD5ouRm7WVvZ6NrPeUKDUzSyFSFFBumeoZK8LFhS6AxZ7kgSm4u4gCP4F25Z385SwNpjXW0E7cVvBXQhY7Hz/koio0u92hBgJIbgxlTIlF0gjlpxk5TKBGaXOuzK6eirml3kTymUmX1KTQSyDqECuVZ2DB1CXOllDVTuKQFapsnxTOB4/qa2SyZQz4zSSRSjRCwvnuG1gTwptkS8uc1qTkNaenLqJzTWrm8HfVFqDIuZZiMw62uy8BmZlSpq7Z10B/MsI2ByIXx+u7vdidhGcvMRHPqaa+aeQel9TwgzPRm6U0apavRkOTwOXMV9vaz/ylivS586sY9Ur8/U2W2fl9y15zJ9TPXIa3AAouczegTqR5tfM7vU5qP9dJEkuxnHxWednvOv17yZg7yZf+GD7mrq+jx196NnHI324Yjq/5Ecv31CGO8Zh8Ir3KuTpzO/++v9F7PeUEL12VhpJeaQm8ZOLMSWjFHwDM6OkEUqh5ASleLClGfcG98XQXYceDzAN2O0rohWeF6dHzaRLEjzToLYr0BDRELEi5BIAQXZHNAj94VvEIFjwiZH7PSX2DMm4mwpDFkx6DHdlbnhq8AxCawu71VO91mWJXURKQLVDRei7Hg2B/WHvJ3LsPNywjDCNlPGMDSdymjymrBTK5CSsdX0QxAv3tRYTubgyK1VVE98UgZqeLGioBfpiqIpYzy72ZBWyuBo2llKzg221kCwBzrkY5Mx5OPvYx4Ewja6sxa/Oq9nwASE0Z7k6AeMy2ad5V0QFCTKTnVKMQl1Lq+tSJYAoLXMQmPecUoMOSyVQVoMa162E3IvytgJmshijArUrhHs1VLxeV6mqcXtdaOKzn43MyVc1FjiXQk5VsVDPI5ZNtX1SaGrWjIcxhNIev5hNjyTtLsTLOVCbn+2xen5QW62p0nUdIUZySpRcCWBVgq1lLM2GRVOryjLueawPlbU1vnoy+uz/asfjO1flWCXfXiFqJV/aETXMi4OJYhJAqnWdC4XEdLqnTIms/pwpT+SS6mnnClXtQkRpwco5LYqBgGmz/HzBsaBkPOsn7HaEkrHkm5JoByLk2h6obX6ilQ2bktUjgdqPlWJEg5CqkZlMKMU45cI5Z6ZSLha2DU8HQaX+ztW9Ae7WECGEALGD3R4pRiigovRdh9aTWLSWpUiZMo3kacCmAZtGLCW/lIK1Vlqz31/n025ea2BWLuYJVffUmaRpVcRMQDImqdYm85gcbe7Gi5PaFomvGncpZ8ZxQEom1JZbGjby9aSwIjYPw1su42ea43AV3D7LTks2pEkrkM38eFMFmvI135ilB8fFqndxvy3DqypDsYJa7TP6JXEvayVs1h5mheztr8LggZtow4eMB9PVsVKzFjL/dnXDi6PM8q7R2mW1TFhpLoIaShI0IjW8IoRAwKqbfQn8N7GFjLFahtXPk2LOS9bE6+vOu3Zu+V8/99wA+SmUr+vjFYrwrI/0QTnojl4iV7H3qvDaEQ43XrtrvENzQqYRxsI0fk4SJWtYmv5q/StKUEHUA40tKIaQQwcI2vcQvGREqS6inbpbJgfoVLiOiuREeX0HBcLVRxB6RjWywGm6Z0jnuih4i46UA2biFhoQOlfHsnmcWEoTZUrcTok3Y+acp/pYIaf0tX6IDR8Gdn2PakC7iHQBEyEDMXauaO0OBHlGQOk1oiLEGgE/5ZFcMvdvXjINZ8a7O9L5DGmCcfDFIycwqQsBtGaqJl4rbC5UWRWKtcXUbs0exFxqe9IamJwSRRXtekLf10bDHQWYakhPruUqvDm4VnXPOI9nzuNpdumA+us3x+PTQQiLCrByjzSqpeI1hawqTGbuPSizu7tZ+r62mUEQIVSS1LJ2W90wK62uWC09Yf5ObcO0aiks3iKjRdpbVa9yTlBcxVVbDJDGztbeyqa05dJi21x9e7hVGZXI/Z3+fjf8oWCOA1ypnfNvVwl/XixQXwN1MSAunl/Xz1oxhaBCH6N3T0t+LgTpEFG6/QENka4LaFBKCZQSPXGpePhRycVv57zcZ4UiXpNrzMZ4IbDUOOHVqB7O0FknE1eVWwH6orjM+9OQr12/RwX2fUcflL309BLpYocGJXQdwQ4oBfZHNCfCFFAzj59BsBpMTFCXklsTPJVKsOpf/PQ2QHc7JARyFQVVhCReKykr7IJy2EUkZ5J7fdCDF3EN4m2GTDNZE7kUUspkYLLV4oN4XJl5Nk4xdy1mg1PKjCWTSl6sx1XQ6IYPH33f136ksbZ+aNaME/8gQlRvpN5rdDIuYFYYU/GadtNEHj0ZpKQJUkJyvlAOFobV9pkax1VVKy3lQshYW/6zWjbH1/h/ZkBNBGhtkrzUSbWobLUViswWmltzBUq+UPpE4tdRyzd8KGhxWmK1RWez4mG15C/Pb3PK1o88fF5lc20NnBWwpla0tkQ2k3aglmAxahXUWbVd3q8eS2x17BqCXGsILFlu67E8rnj5fGXJ7H34WTd8+Fgz7ZWQ+lBIavbFzL1WsplVOUmqlerldLxunaobCKHOEy+f7eWrtMYeSp2DLW9YqiPQaHPaeUWWVpm+uEFjbtC0/Kh5rF+y98+G9No4qu/xeDvvBe8kX9/5zs+iIlx3HZ0oOwl0ohylYycde4UrNY/Buv8EKZkuTSgQNfhGsQQoeKp/DaJEpDbsFqTGOLQvvH1JwzgypcyQEmNKaBcIu0jfKc8OvbtorgtmgbF/TpaOkm4hD4whcx4HhuHMm+nEVOA0Sd3YPIi+DL6R5lLjJLLHKWQTklFVr1yJV1pmxoYPHp9++7s+12IHqiRzu74LkRiUEAN9rKTLBCuZ8XxPShOvX/6EaTwzvHpNHs5YylCzGH2PEZA4n2AigsbgZC/2EBSN7u4O1RHZYhLNvOmqVZemFaOkCe9b1giif4aSjXwePH4xZEQDfd87wdPoBsu8QbVVyxbXUjEngeGr+4xt+HAQpGYuSppdc1BdezTFVJoECqvkpCChukA8xlCl0igrdZ1rYR7MhXsVJ1TaDGWJvkbTdqC2jdVYFiu17ZrVWC9vtwWtUHDNwPWiZLOC0JSDUh4QrnkLayEnMse1bXh6aPFVb++Wi8E435TVfXUNtHZb/aIhEIOw7wNaClqS14Cz7LG24xnRQBmMDJi5CrwMwIkZgKxCiQzBYvRkO81QCrks/XfFFhflpdlQ1+ka3zh3hzCbVWP5GtUR3km+rq6uEYRDjERRelEiSpRAEN/EuqiQdlhUpBRiSr6hactSWQjXHCAsXu9L6+BD0NniAZewSylQQG2qlZCFKEKngV4DuxC9hMAuYEQkHEgSiTYSyGgI7s8VYyIzGpxLrZtTza2cU5UgXYac1zCUMsfutGDXLeL+KWG3PwBQqkuu1LIlWmPBgnp8wGwlFZ93KU3uahzOpHGgjKOf6M010/6rNY3mQqc1s1C6DkIgRJfAA0ZYqQ6luizd9VLjxihLAz9bFDFK3YwMWq87r3BuKEKZnYlNSeCBKseyy22y7ZPB2g3TXDQtPHhp09MeXsg2eG27uYYWgkgjTGulqdVVqrNH6ntqM4wVqbXnWhuiZUzFE0qoi2ULWG6CGY30y+xuXKtwy3u3Da4+LssmN79mdjluc/cp4F3lFd6On/oSZl1/exHcpV27HviarYjV+ojCPP+kuIiy1G10T9biFpT5/VpiVDNqWkZtUFtMhGodSFV4l7NxFbwh7bqsZvdqe1i7O74E7yRfn33nZxEgiqtYQRRF6DXQSyBIpSZWyPkFpRSG5K6+cZwoNSCeUgjUwpcGESMK7MWIKlwFb+kSS4ZcOH/xOWkYsPMZG0fSMJDGAYsB9j0WFNl3hNBx3D0D7SiSyER0ekMsA305czRjKIISgMxU6zmprWIcLtX7urh5P0eq5C5SkPAlk2XDB4l+34N5dmAxq1XknXQbRinZa2nlTBpH0jhy/+onpHFkeP2KNI6UYYCaiStmmApFPANLe8+MDLseVSVGD9K3Gquo1aBovR/b7uLFLXyzKrUMRZkGLGdymig5Y1PCcvLn15o12AhFPaBTlRB6RLRmT8pcE6wRNFiWhZLzJnw9IeRxBJqCYHOrnlKVAV0Tams9RoG6MdUe67OK0FyBTfFqPXCbEdyM3xBj9Va01bpuTma0Niyten0MVanQsBivtiJj9XbL5gWWDavGBFVhbKXuSe2JJ027XUIAACAASURBVHMP4JS3zqRPFfLWlYqVm7oR7BYI31yNMdbg+SrwRDEnWTUciCqWWO3kUPXbRdWajYFGuPz9pO79c/xWtXmDeMvEXDKhdiDJOc/i8sWnmsM81n99zroHxNW6r5q37w64v35Wvw9lTmoXIarX+5KZafoCMZXC3ZRIOXPHiZQyZhNGJpqhZt60mkKPkQR6MTqp6kApkCeG0z3p7g4dzsg4UYYzZRiQGMhDB0EZTh1d11FuIhL6Gi8WYLpHykjQiahGMGqmmNRlrCoLD+IPKpX2xaAFubYfsC5k2yLwdBDqgm+5PODYK+uouPo5jk7uh/M9aRhJ5zNlmrCUkbJWPOuJFxTtIhoj3X6PhDCTr9KCBVrsSn3PKgpAVX5B6kleKEGxnGEQpMYpWpaZRGHGXMAu1SxICWglYk3tKlbmENGL1klWVvN9w4cOq4v+StCCpnzNNxcHiNlSY6u1INL6+8+9uGkkbGWny1Ifaf6rc0+IZXMxEFsCiF1Nq83bC3UDzRcVMQzzbF6t62ldP6251rnckxtRlCZ91eeVwvzZNjwNXKqdy/WLn7HJnHapbUo9gIq3S4tB6YOilmfX+sw52glSFKTMXUTamdEImHM9P6Oa8rVMVD+m1tJUogZi5FJo9YoXv+Nq1spybqw/uNT6kSEsccZfhneSr8Phuh507f/3YGUR9ZpcpTCVwn2auM+Z331z4jxOfPHqlmlMyDgiOdNT6CjspXDQzF4LNyHTUbiXESkFuT/BlJi++AIbBg7ArjKg/dGbtRabyJNwGryG0ZvbE6LKFHqKKPeWmaww7QLWKZ323PQ7YpggnMm5kCaPsUlJqiVoqECRXOuLzW1hZ+jXkBE3fDi4r+qB1KAodysbY5lgGvF4gURJiXQ6k6eR6e7W63alCcmZlqrs7nHQ3rMPtesIh72XMel21b2ti5vEfIOqV2ln71vnogpYQLseYnFrP2eSBnIYPNB/HOoCkaEIZXLCZQamAY0RVMklX2SMqdQq5CLIVmriSUFXG4Nb3pdrUZGlnEPtPeKuQiCEUI3NZkC2xI02BwUIiCiqcSZdqq1COCwb50Lw/MoSvyXuH0ejVFd4LURcdI65sdaXsfhzPbaXuYQQzcite5rqUnB1bhy/dqFv+KCxzJrHScfivmtK1NLyqtR5F6va1cfALkaCQDSwbKQx1TnjCXux61BRNHpGOHW909rTxNr8r0lImGHJw5hyqjGLpdQSKdEV2uoyVK31P21Rnue43RV9k+pRce9KOx8vHJRfindnO+6Py1c1+02XBEwviFpIKXEi8SbD790P3J1HfvTyjnGY0HFEc2ZPYieZKy3caOEYEiVORBKnfIekRH59B9MEt7eQEs/7HmKk3+/odztSNsapkHLhfC61PUzyrJouYEG9vIUoOV9TdgfifsdxtyPEhEVlyokTLbDOm2iLNbsS/3FVkFW8nnzNL3PDh4PzNCEIEUVMvJhvwUmKJUoasXSmTIlyOlPSRDrfe3B9Sq401QXBZWQldJG43xH6nnA4uFGiHbC4rGm32pnJmoD58Wa0OEeNNYtHvfhd25CsYFNVEVoAfVkVbNWMhOqGKp5KXcCfW902WuMkttn7dBCsRZvaHHMCXLjovJ2teJyLQEupVdWaEVsThUp29Zc2B2rX01r/ba57pzyYJCtlDWZ342WEi6G1LIYHGtdg5sJs1Pr+V6qiVl+5SqpqLlBq/K+X7K95Y2/Lfxs+YMzqJVSisloPWT0231fd4FKztwVfz0LwHrWqKEYwI+VCnnJ9n1oku9+hGuh2+2qEunKr4pfWOs7/1tjx0Q3cEdytmN1obeVbRFvrLKtOBasdS3zM89loMk9LT9KrBVnqnC3tI74DX8skdgXbaM1+VTxuRUpBshdzjAahFGxKlDF5XYfJ6IoSEY5iHMR4JsZzNXaWuRpPkAfS8AqKu3hUhcMnH9OFwPXxyGG34+rmhquba4apcH/OpKnQ303kaWK4fUXJE2M6Y836t0IeJ3JxDryPkShGDB0jgoXISGGgtiNikcOpSQGmLdahGmkPps6GDxsvX71ERdh3e6JGD7xHagueNKtKNnlvUktTjbXyTctPPi+FEvqO2EfCbk/c7+bSKFBdeszbxQrNYm87iBsw67IlpUyAVdemzSnTokro+xrX4NmQaRxoSgbUfqUeOAbNw1gzhrxooC2S+pxwveEpoDn4Fo3J5oXeZk5S72+ulkr0c/ESD1YzuJeyJs2ErBnmNZC5EaHK71euoPqGj7hOmmJAe2p9mapgZZWttnJ1t8QW5iMvjesXp8riqpd67niP1J/u+9zwzWGtbl1ivX8uDvTWHitEd333MRBCLSNB8aLtyesgCl4E29u/BQ7HK0KIxN0ODU358sD8Rr5KSQ/IV0fJGY1nT7g7+dqP1VqL5lG5ghAI7oKs/Cdbm7GL+9/PzRa3BkvduvLTuR1bXZlmFHkWQCGIB3ZK8UyDmAudGbEYZZjIw4QNBZmoJSrgSjJXIrxQ+EQhpkQ/3DNNJ17e/gQzo+sPSNdz/dknHK+vOT77iN3xyItvfYvn3/oW90Pi1d1EGhLj64F0OvHmB99jGu6ZXv2otn9JlFQo40geChFh3/XQKbbrOYlyDu52MkuzpD8TsLYINGZbZe/ypWLqhg8Rn3/xE1SUZ1cf0Xc9oduhGsk5k3J28nUesHGk3N970dQ0+hxvsZ/qrU/ivqfb7wi7HbrbV1dQs+wzfo4Ed53Aiuc0slQtJtO5tVYpRpoGVwWKp0zT9cQQvEwFEWrcTRkHl9zJhBpgDcnjd3J0awiPWWgnPxSKQTDobJO+nhKaZ6E8+NsW/GKQgRYbZXXlNzMvj1OsNou3RUStxGsu76OChuY+abW5mAk7UEn94goE3Bgo5vG8dTxea6kOR2n1V+vYGmu0VYP5+jmkjqspwPUhTxhwI0VK3rjXk4HM/z8M23n7WfNWW5M9vBh03ylRlUhVnFKmjJligtIRQ8fhcE3Xd1zd3BC7SOx7L+2gntm+Jl85O7EqZfKevGNfyVcgTRNTTuSSZi8eGsC8A06oCljQhVA9JsI0AtaKBStunHxVhfx3kq9pvPcvqVotOY1YTvQB+iCUKVOGRDIlEcl5QrBKztwC7wV2Agc1jlrYMRHzmZDOyDiipbDvDmiMPP/kM/rDkU9+7ufZ39ywu/mI7nDk+vlz9s+fw5jJpwmbMuV2IJ0H9rs90/lEf7hmPJ2Y7u/I48jd6QzDQCgDnEByh8YjwSDQ1Xo4BfcvLtaXaFs9/Is3y+0bZvFQb/jQUabJd4KcQQteZ7RZKHYhSVM81q9FJzejQ0JAYkRihNiRECxlcilMdfPxqSN0wTPF+qAEqdZJhUEt4lvIpTBMmZIz0zjUGMOMGKRuImig7zpijdOS2HltmxDdsqqFf30zw8eeBAkei7kUJ2wlB9qCuG1hTwaNCM0ujkbDWYjQamGff1sRdz830bNUxavGaol471BvuYWrAjDHCi6VyZsqURvQi2LqKqzX9Srusqn7UFO9modEVJFakKw5I4VKxIxqLDAHQ68+eP1/aYcUom5uxycCq8o78IixJ28lTnjuks/nTj3OqsPd7hQ3Hi078Qkaif2Bruu5OlwRuui9eGOYO+VQg+ZNhGbyNq2qVC9WUaGgHr+rSrffuTE9TuQpzW7ytq4rRrQa11XX3VLjOJZpWVVlWQyJtz0hb+Od5Ot0+wVg3v6kFKbxjpIGDjvl0AvTKXG+HbG4o+xeMI0ZFSdfUbwe0VGFo8KzkLnRxNV0Yje+QcYz3N/TBeXm+Jz99TW/8Gf/HNfPX/DiT/xpdjcfwfVHyP5Ad7yiO1xxyIV9SoRc6MaRch45ff+HTPcnfvzbv8f59o7hix8ynd7w+Y9+m5eff5+c7sjnL5DdNVE6Og10ciRREBKQQKqVqIKYBzM7z/LeeNaC9jY8GeTTGdOA7SffdLragd3qJlOKtwtKE1KDMKmulFIDN2PfoV0H/Q76HWPODMPIOE2cTrV1VSmoCIcuEjXwbL/3BYEOYpgl6qkUhikxTBNv7u4pKTGdvTm31hpifQxEVW6OR672ezT2hP3Bg/7PIyVrteRq1o4ZTAkr5gkhUTEVMq2m3hIysMUsPh3YA/Il7dJqJV4Qr3alZr2WZfMwa8HrUuNhvFG8qNWEo4nW0WGuAUZzAUKMkS7G2e1ZcmFKE1ZaoWDcgAUkehB0EEVDK2NR3Z4tfnZu37LyMMiKPD5wd6pCjFui01PBYxRZVv+vfJJ+U6DXQFDhEPyvYEgxUkrkVChFKUXp+p6bm4/Z7XqeP7txN2XnhkXCXYNo7aJTlppfpRKvXOs8FvVG8+EYCPXxru84vbknt6LXUwYpiJmHV4nLLsWM2vPGzYP6eVYJ7rMrX+Wr19t3kq90+4V/qfULG4dbcjpjCdJojOfCcMponwndzezCE4FYB3AIylWAg8CejOaJaTyhORNUCf2O3fOP2d/c0D17gV5/RO4OpNCjoUNCT6ZDLXgmgaj3K0uJkhMTwiQBi3ukh7C/wjC6/Z5+35OGAlMtxDZlCILGrqZjt+BUnzrLvKgLXGvqXaXyzQB7engrTd13J89orYTLZleLnzAq6vMkeDahiTAVY0qZcZpIU5o3uEbmUsqYFsZJwSKdunzeYnRKMaaUSClTalPu2LIRtdaEEXdnTjkzpImogb6e3RojUGqvu9VkXBGxFqqsbWObP9GGp4RlnfE5OUdrVRdNe2yJjVpH01DdfTK/vgXYi9Y6cdIMkLzEBrIce3YBrjaQUrPC5vpdLAVU58y1ptDVnUhUK/la2l3NrvmH5oAtaoIf159s8/ts+NBx4WKmKZsPfud5zqzuNVnVRKl6VbY6F7z+XNf37Pc7ui7WBttGnjJFYMLVqCC7Wh/O1ZNs2UlczoyjGxotVtFdk0CIhH5H7BJd54RvjuOt1fBFvUyWUFsXVYPh4dYyh43Pt38Kt+P9b/6qn0T9DlPhbrxlSAPZzmQ7k3LHlHv2xxc87z9izDVLQGAfFOmMb+87XkThOBV2aeQ8vOHN6x/RdTuO+2t2Lz7mO3/fP8ju5hn9z/8C7A+8iXtIkV3u6HJHGIVQCqV+odP5nvuf/IA8JtLdSJkKY7ym7I8o0B+uuMpvEL3j/Oolp/Otx/rcDVgEvboiiNFpJFNINpEtXwSI+urTFqumX2zs6+kgILW0b7X9AUOtoDlR8uSZtWlagtdrTIzGiMSaRbPrOZswjBPn85n7+1N1w/vJFSVgFIZhAAplGolBecYzjgJFA6bKOCXuTifylMjjSEC43u3d/R1cIbsbzowpYVPilCauTAj9DgtCd9iTJ6FMJ0pO85ilVmOOsfMEERGyBldBNmvhyWKOv8JWLUxWFKs4+Qo0wu1EPlf3oFWCJdXSlxgJXUdrDVTMjQEvhLqq8yW10IWwxM6YzV1Hck4AdKHzXaYwx5ulXLAgFKlZtsH773qOSEvYstb0xN3kLO6h9Wc3WAqufhNf+IafGuv1RrgUK9Y8pJq4Pp+zzi5wNyZ8jrQeuXHX0++PXF9d8/z5M1+fzefh7emOVDKjeKmv47Mb+njACz64AXs6nRiGiTdv7r34e/bWV8fDni5GPtofOOyuCRbptWM4nznfnTDLlCnN4UjGUlk/rz+jf3JooSDVevg6c/ad5CuWO0SVvrpfvOWOcHueuD+fnFkiaM6zT9TEy/LHGi/Qi7EDYs7oNEJOmBU0KLurI/31Nd31NXq84i4bNmTG0xlj5Mo69hn6vtDvjGKJbAPn+ze8fPVj8jiR3mQsQT4plqDPkxdsDdVHHE+k0CN4LSQpnp0Z6hgjSm7WZTP5qDFgVgPsrCzZkBueCFZmyHzVf0tpfaTmOC+r8nFVCULwjSi4WlByqZXyq2omWnuXesqzvz7VmGJ3yZRcU5yl1uQyj5fxgEzfePoYCRogdBhCyBk1PBGkKQ3VCtOomPmY1GpRVnACJjKrX/NmJes5veEpoalES0hJi/NqT7gsP3H5wgXzeraKAVybkC0GS2ZXic6V5WkEahU037InZXU8L27ptb1sOZVqaNfKRXqx+c6O1Hlja2KXZ222enlL14YNTxULPVnm7BKJ2kqkzMu0+6dpc0BVCbEjxujt4ADLrkgVq+WmqsLWvABe9cAN7KZ8ZU+c9NJSIqRMTerwMWhw4yRME6pSI1BsNc6meC2X9en2mFr8VfP2neTru4efEPsdf/IX/yTHj57zWz95zee3J37l1878xu/cIdGg32G98VElse37PHSBToSrnDjmjL15Rbr9MdiZGCLPXrzg5//Mn6F79pz9d77LyZS/9evf5/X9xMuXI9NY+Nmf+4SPP77h00+f8+knz5nSPefhC15+/gP+v//7bzANI/lesCzouCeUwLevr7nudxylY3/zM3TTjt2dMqQJzmfQxF4iooGbXaBHeF1GhqkQNIIuX4mVTMkJs0xO4+Z3fGJYZ1KJeFailISmREmTu6HnCviCaPRq9bsD2kXoekoM5JyY8oSIsa+Bnsf9EZVACBErxjDuyDlxurslpUSaEil6RqLFQMpGmjKKsY8dfYw8u74ixoiFnbsTu0gcJ8bTHeNwcrKWJ0IIdLuOoFD6HUVDdQF5oD6lKmA5IcS5mKVW17/qFjfzlFDAXXD1dmsyXWqsot9uDh0nS7m5bdYV7Km9TGvTd7+rZtDW1yJCHz2FX2Kk9SxtxEgFn88pzeNr2WkqAtYBxjgB5ptcMSNGV4W9D2kjZOstuJb0qf9bNXSt1E1RXFabE542PF08ykJqoV/pUBG64O0KraR5LoAR+j2H4zXd/uC1C81Ihsde1f6jMQAqdCJECufxzHm4YzgnzveTx4yFnVfL72obopJIk3lJRxU09Oz2QsmZcThDNnKZfK6HiInH7Rqu2c0GDJ404BedDZavg3cXWQ0DXRSuD8bVlXJz7hjNCCGQUu1yH4xUbBYQGkOcB5QKWjJ5mrBpRLS4D3e343BzQ7y+RvqePBVe3p35/M3Aq5cD02Acr9+gwdjtA4djYJpuOQ8vub3/gtv7z0njiE0dZCVMiWAdQ+7oi3LQQAwd0p2Q7kAuIHaPFog2kTH6EIFQ5XXxNFNdqg0268uLV8pXU9kNHx4uKoy2ysplbo1Fqa1ZhLrx1NiY4JlhrXI9Ui35qHTRMxIb+fLednG2krwiS631Yut2GDa3fgmqxBiIMVJiQFFijMRiTKs52FQOVYXg45K5hsw6bmIVu8NSL2kLmHl6WBSvRx5pahXMMWAtzR178BIPWF1lYD082qKOtpZXi1K1dp28PYcW5Wt5n3ndvBjL2+9qD+8Vn7OLwrZ8C2UzeJ8M5JFb8lbQ7epxcaVGVnGvJmta44lEYWU8eDRXmavKmyxRZVJjeamiSSnVA4G4sCIK0mEYKRnew1m8JI9oba/lvRmlrGSuOTt3pdm2+d2e9gdYZt9JvqT/nBI6fvzFr/J6vEG6b/Pi+Q3Pbo5cHz7inIS7u4G+9954RSIqhgShD0Jvgg4TMp2x8UwZzsRnB/oXH3H89FOuvvsdcrfj9TTx6m7i5RcnXt9OHMJHXF/t4DRw94Mv+N3bz/nx7xkWBoj3KCe++3MH+vCMT26+Q5Ad+a6jTMr4eiKfC7vuGYd4Tcl78qDk1z8mv/wBZsI+B/rQs+s/8mD9c89thhR7SohOJItRxH+IkgUt0xZD84QglLnNyqpBBKXWKVoaAXPp1lGBEP0iEZHAvt97KwvzGi5BA330kqhBlFJgmoJnkYlnh5WiXv80NCfM4j5pdZb8Aho86iVEJVqYlSqbiVslXxoIXYdg5MGPltuK5KvSklBGjZmZv48NTwW5/v6i/vvN7rwWA1aJu6hCiN654ezxW9qyYGclzI/ZHI6umFXUrMopZ7SYV8KXhVh5jzqtBKi5CaurUPCm223XSYl5sPX9vFAlc3Hh3GiX2dKp4cId+QAPyeSGPyKojN3wRJBaANsr3ePegpb8EQKhFl4lGDlNnKY7cs5M+YSZiygqgk2FZGckJ3aqZClIXTu73R7Vjn53BBGG4Y5SktfwysVbJoY4lxayUih4vU+x9Qq+GLgqK/d6+1QPklfehXdXuNcBk8T9+QtGBnbPn9P3Qt9Futgx5uLpoKkyzNbaYqV8qRWkBghbzogq3eFAdzwSr64xDUyjB8JNycgJ+sOBfTwiaWSazkzpzO3pjPYJPYwcd5lnH0WO+z2fffYxne4Z30TyAD9Ob7hPA9rvid01ZX9G99eE02tK8eDPWCbMvIpuF4SdKmNVvXLtkVa0fePB4262wM8nhSVjaok5oKXTF1sLRbPRbrMV4wtC8/d4v7za6kI8GzLMzeZZlDOgtW95K27nYlztBrMBiFQXkV6qFOuTuW2IpmH+TC4y+Cog9eM2xcHqG3qPyp/yC93wjaGR5hajBa6+z0RafJ6gCsHrpxR33jnxsiWA/VIfnZnYan7VOl+yFJAUXTIMpRGqlsE4m/lNuWD1xEWtXc/DSwOgOSDnETxQ2Gweql28esOHjscJxyP6Z1sXK9Fvc6utZ+VCsW3KGCDeLzTliZwT2byAKvia7DXBtHopvLuNz0MhaCDESN/v/LwqEzkLUivfE9q8F5oHpNkcKxuGNiOXUMbViTLvOSsF+B14J/k6px6ycn6dkfvEvpyIhzvOpxHBCKrsOvUCkxZA3B0jEQ4lsZsyuzujtxphIELo94TjR8jxI6bDc7JEQlBuOuGXfulPkLLyLF4RUX7n//0VfvKDN0wIqQgx7NB45Jzu+d4Pb7k5dnz7xRHtryh0ZOB+OvF6OPPiqqN/dkTtmlA+IuVXxBCwMjG8ucXuI6SIxY59EUr0CuVn8lyjw2XJ2mpGlK3I6hPCrGatXSGttU+uFcA9gL6dIq36dwgQgjdWbT3n/JSqTV3MGEvyukdjIufC+f5EThnK6Jm0QYhd8GzHeeOShSGtL7NaQHUZrsdd2wkJ7g7ViKiBxHnDtOY6NbzkhPn2Nm/cm+vxSaHNx1YQfiYilXQFVULweeWV7q26d1bzqammb9F/Q6R4LJY2I6S1L/L5abW/aBOCW39Jd7NclglYl6dYUad5LlMNhgLQkoptaazcegBKTdSiZld6jdbN0/CU0ObFgxLBb2ExhJthubiXSyNf1FZBIdB1AVFIeWRKZ07n1+Q8YTYiYmTbgQVOQyEno9vtif2eZJCoxV2nTCiZGLKfQwhBAsW8bp1EV3k1xOrilHkOqs1lfx983mqwt8iUWTX+et/XO8nXmCOIkO4N00SKI10emMY0k6ku1Mwvz+Giix1iwi5CD3QCsTVcFSWEDt0doD9SuiNFO3ft7Hv+9CffRsOOa5SQM29+79f54ns+lmyKlg7CnmnMnF7VzS/17Lo9hZ4ixpiV0+TF1MK+p5v29OOR3as9QZU0QakFONF7iD3dbs8+RIZmOYpLimW1hfkXuwUuPx3MktIFAZvT3WvW4xxnsnpZa7JqNeJ4bfWA95tLxdsUnc4DOSXG89kzEM1Lrai2hsW+Qcpabqjv2IJKefAObcxe3LLMOoG7ebwzg4li6GwctA1NDNQWM8H31EckuA0fLmrJECf6MLs6ZOWungm6XczdxcBox4L1Da/DxUx21v0foVWir/XBS6GURbmYCdUKM/laDeGta1XJm90282dab9K1Plg7A2y9hW+T9ymg/VKLwnk5X2x9Zc6cbRKpzaqXmRN8NzYVDV7yqZSJnEem6d676WhCtRJ1AsOUGMfMPgSk25MRr2RgQCo1ca6AKoHKmmDOqJVa97OpbfNZsbYo2idaK8Prb0CWtfvL6afjneTrdfYgtWI9Zj3DqRDSwFDMmw2r0tWg45zcJbPvOwLCsYe+xrRky0wURoNdCHTdnn5/zdXVx5hGZFCMiMQeM+Xl53cM9wMv30zcZ8W6vStmXUcIO4oYKR/J+YjoMzR8ROy6Krf/kJwDORs5T/RidJ0Su+BFW634lx4j3dUV1vVYgWTFi7i2SVA3NKVQxPg6PtwNHw7MvMmvnwB64ZZrmrehbum7fUQrzidNSZC1ftSKSTZXTXbSNQ7klGvlby+cKuI9xpq1JKsNZd58zBBzF+Uc6C95VhB81FLlc10IpOgSK1NJIgYqrYG2R7jNn7WRyA1PBxeB54vihNTCpYi3+QGKeQNtsbx0PeBLKEvbNcxV1BAjwYDaR1Rr1bCSR0o93lzSZD2gNkOb2jobLDKXmrj4ODC79N8a04pcrhW/Ut42TDZ8+Hh7pflyEnLpvV652uvi1TrLmBVKNkrJpGkkTRPFEkG9cVVRRWIgBWNUqgEBoyil6xBibZElNZtSwCbEMqR1a7mly4PBUqC7foSWyPT253CDCP3/2XuXWMm6LL/rt/be58R9ZX75vaq+6uquKlyN24CQm8YDY6nBvNQSIyQsgQTYboYID8yECRLCBgETGPCQhUDIjBBGZgBIDBoJCdoGIyHTINMvd/Wj6qvvke/7iIhz9l6Lwdr7nBORN29+1W0687bOSkXeeyNOnNgRsc5e//Vfrwa8vprcCb4uNbmBogPrkG2B/Y5Bjdj7OJVOEiFGNBsxwGl0UHZm0AX3rrIpoxkj0IVE7E/oN+dcXLyP4SMvPFbbM2bj+0+vef7siufXA9sidLKh6/sKvnpGKZTs4CuEh4T4EOn6Gv/dUEqoPZUyoHRd9ATVlNyABoMukc4voOuwmy05jxPTpZWuN6uFDrX0eU24vz/iXpRgDeDUVvMTKEFA4lTKXr95WmH8MmesZaXMBEFlBUphGAZKzuTsY39C6JxRQGoeTvXiDGfb2ilaPwEC1JLpeQPyYwQHXq0SjRqWabvWxDYIBLS2kq2sxQJ8HZx0lfshtmS02kDsMG3uuTiDq3XSQlCmhPz2RP/qlxaknc7Dl6lLYIKQJl0DIVM8hD4l4LSzLX4ahzrbBru/gWWdyK2JJpmPN3MWZGbjVvB1QdEh7QAAIABJREFU/+S278w3ogPw3VikRbL6ROYut6q211rBbCSPg8+YtuK9D0WwGLAYycEYI04YaQNfgWAJo456q/NMKQNoQSzPfR8XjsBymfM+OwdW24PLnLUfdYu9e7B2egQETM5AElgPmtCwIW68SWRIia7rCRTQkbK/QYJgJUPJxGh0fSBvEpo7JAXUJy5hpkgwNtGZqqurZ+z2I9vrL9lur0g9XDx6wIOP3ufBh4/IMrCXa4LEKewzjCNjziQ2hNB6h/gmMpX4q1LqaIFsylg/0RwEC4EsTk+q1caWzJtYy1E4znVY5V0XmY1PpbeDyHyBs7zMGtOgzmhpQUpBrE64R6btQ6qr38dI6OHB+Sk5+/gKre0lCjCWzDAMhN57KHlYsJ3JjvYXo81Q8JXP0GqqdKOxsrpwAhZ0Qt21VLwDs9IMmFSGbZX7Ig33T/DL44PT99mAie9trhxLPDOxTBPJ2o6RCnYc9HtRpThwIhDr4B8rUnsqeVPg6aJZ2NWpYOXAVk2uxfSAMbdaaUBrMmj1v+boTs84CIW+KXizyrsihzl6y99dM6ddTxystxYOVpFX8y2DgYrWQe6ZPI4VLxRUfSKDA7dIkAjSY9IjKSJasJAoODCT6BoeK/wKlhE1LA+Ylqm1har6+LdS3KHR1wyyrxfZUiel6fGiqumrtAa+O+dr8/V60h4sUIp4jnKM9KcnQESs0npkRJWyzdUDAlTpOmNzltDSg2wIfaBY9nE+FKIofdcz6MDjp59xeXXFy2ef8vL6hu7sgg8efcQ3vvUdPvmJ7/D0xed8//O/zTa+ZCyZ/Tiw3e/oux0X/QUxpQmASaXFzYzSgFrODFoYkjMNIUSIkSyBjFCsJf7NG8UEwFbm4P5JtUBizgp5kvFMHtniu5aFMRtzRkOgK4kQ6uMitbeLOOMbQFNikzqKGtfbkTEXLq+vGfLIbnQmrBejjxHaGqDOibDpn4stLNrCmFYdVmtGtICV2Xi1qGoNRypSu/HP3cHDSh7cK1lCGP/FDvafqQWJ+g2YB2gt6IUlezuft+a0eOyxevPeYyk2diJ4qX+pY4Go7H9bCjhz60CvIb0l/PP/lTrMWIs72nURbfZoW1FzLFqLn5Xtuq/yuu+uUfAzAya1srupjURZ7FXzYOycB/bDDo9GGCWrM7UCIfQ+PiucQeiQVBAUk0QmoLVYKkrw3HNTwlgIFDRvvT1K6pEYKaWgozKOmVJn77YJDaFeD4dOQ2O9FndABYcLoHaH3Am+trvKHdQrzZtH1l5JRRG0evSFKCC1OqGIoF3yC9Ayapkxjwzjnj4PpDJ6p3EtiBSyZvZl4HK85nK8ZDu+ZMjXvH/ykLMHF2y6jjIqViCE6D05qlG12kht2O+xkhnHkZyLjxQoSsmem6PFM7q8StN3gBhaP5HZk2zJpi0DyKorKcharn+PpOURHMQ5qgczz8o7kgkH1VE9zCzEK+fHz5Oig7quM1plV5uPp4vQ0eQ9WdMuoTZLYukwLml5g8UFXJnYOgx89q2mncDZClpNZn3ORIevyntfJNTdp3WGF/DvXGZWC5hjNQeK0tit+mfbxA7ytapeVgMXpuQbf3yGRfM5XacX57F5v5TGxi0J2YldbscfmN7JZlnLE7P5nNMrr3p7D+Vw5PTxtzfneS1ZoqbCVXGCQNEpEpFL9pxCBxlIiLSEdjPxdldWGIdMzoUueYVkUSWrO6vFRlAYx0JQhTwi6mMGQ/A1e7NsndKO5nCiHLwROdDzw9ZA0MgaeBNguBN8PX5SPxrL81lrpZipVu+r9T1KeCv+SB8D7z14QBcio+4R3XOze8nly2c8eHDGZn9DHLZsykAx4WosXO5u+MHNl7y4ecaT7e8w7K/5Q+9/h2//xDe4HjZcPbthHDN96DzPTNUpxpzJ48DL3QvyAFdX12x3O/b7gXE/MuwHht2ePAyIOUg8SRFSpIs+9Jjpgy8+v6+ibDWfPgNCCGndBu6RTJVhErwfUqW8fB5j8J5ak+FyMfMxPdOcRPOAjDYwUxMypToaQYSuq2nukki5cLXdkYtT7NmMHr+4JQQfXaWKmqAWUK1FAepOQAtbqumi0tZvwZwap4xQMqEmiKp40QB1NJZNs/n8/bdE6FXuj7QgsU2gRpdqOn23rojOTKlVkN1ytCbmXkGFw0z42vQ0FzCIwRPmiZGpBQRHTFkINaykteBEvQRfaplKUXTRpNXfgM0grb1uXT9hUZ8/4bOm7zP8a4+scg/kFcq23S8HByyrdrXutSaCBsHiYi+kkMvIMOxJKdGn3isVU1/TKiJahPEmY+KV57sh07/XcX7aMQx7tsMezZndfoeoMmb1lG9zW3AaToldYqxzIHPxWZA+lF4WdkS8g77Z8rKr76o56jar71dQ2bs73Et38Nk5G1DZoaAVh5kzXuKktdu5atwihCiEVC9eAdNC2e8p+z15t6NE2NuGnRYu88DlOHAzbhmHLfvdNcPNJfthZDdkMjtC9QgF0KxcX99gOaKDoqN7UanNKguAqY82KqV+YAaVrtdx9L2qjoFp7JdvXDbFcOeQ72rE7o8sQhqVbWpMmFR2qrFRdnC1yKQfzWBprYRV9eTPGATiXJYMNRTULj5m8xEqbR0kEFvn+qIoUIriFY4BC1S2tiw8r7pRMecvWl1DW5uvvBni1pCwhpUszJvH79vnvsrvVQ5yZxaqKVQHYcFQWQMvrSBIWmLzfI4DVmq6s4J5o7L6dd5jO88EwOq/V8IuNWiu1cGv++ehvt0WhpppguUjB4wXDcAtGbtV3nm5DXS8duOZc/u8r5tXaC8HM0y3th/iehFiAK3tdGo0QKuephBJIZBqM+oSozsaKUIRYjXvotK2TO+bqLWnp7XedxxE+w+K7W7JR5wBGBPL+yYEdif4evDwA4ApVyVK9cqmHJm6QIdd9QPNdAKnZz2bAGd2yuZE2F+dkXenkDPXjx9zef45z3/wKfn0gucPPubpsOd722ue3Fxy8+IpevWC9379/2X/5AUlPqLE9+nPIiePEsmMqJHhZuTXfvl7dPGEPn5IlA1Jeh49+pjzi1M2mwRXI9vrF4w7n+sYDHTIlGLsnj2jxEhWb6RG9dDsoJeqG9gQwuv1aJV3Toxasl680CIoVYG9pYmkAUkBK6G2pJifWEYFMrrxgpBtyezUEz/HYaBPidN+Q4qRk869+XEYGUsdxK6ZmDr6GOiiz2/se+XkpKeMmX3OWC5cb7ekGAgpgcD1fsc+e0UPeMf7lKLT4sWHgZdhQMeMFfPeq9WDDMGreX3+Y63YpPV0WsyKXOUeiG/aU5lEmKEMNdowE0YyhzhEQOrm1bCLurOsUbFi02GYkcfB82qInqcbE1GEkgta3PKE1msp1LzF0CrBR79W1As8WiPWFCIh1dR981yvZeHAMqjZDFob9eWhpXgQJbU3GLBV3kF5BYQt6SChFcER5pZOWdXTldT1u1hA8cT5Ym63pTK0fd9T1NgPhWJGqeDrrD8hniXOT085T8l7NHY+KsjKBVYKedj7z73rfuqVlDJjGVEbUMszIDTPcZfabqVmidTUJMDCK+/17qDrodw9WHtzAkDEWava8Lte70ugUu80xXR0Gxelzq0LBA3E5H1lzIy8Hxi3W3ZXVxQNjCcD4zgylMxY8nRRjuOO3c0l1nVYvyGVHrFADELfbaoB8k60Wr+c/vSEkz6y6XxKetFM3u/coE2o2nFqKYXMzI74B3p4sR83EVzlnsgCTE+gujIEUxgy1Kvp+KmqtcGkhyHNPA8gF6+IATcypkbE/855QVczD89u4U2fx5d8kHdw/cv1+FAprHYObO6b1EC/byBajWnTYuqlJ1OPGQmVYZMGvlqC9Sr3Sdp36z/nb6+ZseaW3/a9zqbO5jsWs0wP8m1sZtMUrcxXW8Pc6FJEatFKfaweNDNWcyVxqDm5SwbtGETZwhBPDFfLr6kLm7bkH+FzW+Uty4yxXv/4EetlMhcHtSarU+6qGloKGoMDNhY6FoK3WKn3dSmRuo4+RmJoVbx4alEI3g9Mi4O8kmsPOx+8rZrRMtbWLbVVz+QkVNCFTdfGYVuXxXXWfCF7s+NwJ/j65JOfAPAEd5EZfNUVNfClZhT1hn+j7hErWLki28gQDSmGbBL92Qn7sbC/vubFl4/59Nd+Dbl4n7yHUTOn19c8HEdOP3yf7v1zHqYTJKjPdNwMnjJjidOzU37yu3+EKImHpx8T6BmuNlAiP/bhBQ/Pe7r953TjE55fv+DLLz7l5uqaG1WnIU/OsZQom44ShDzuvcSU6u0B3n8JrBqu1g9qlXsiJQPBGSMNoAmsJsKLz8SLm4QOhg0y5Xmhio7uHYXNDhXXiY7ACIyqjPs9292OQKAPfgllzRMNnlLgpE+c9z2p8z54m14IsWPoBm+0Ugo3lXlgWydA1Nye077npD/lpOtJqUNLYb/domOurJf3zCfgbFcQHwrbhtB2ybvsRwdw3VR0sMp9kTYft3V9F1mEnqsBk5aDCIjEuicvYiY1lAOGlkwZxHWki0SgS51X947Fp4XU8voYIhIiMXXuMNT1iAoptlzf2eUXw+efhppPidsEzc581cRZB3ZS2Q7EHQrmMHoAEoJi7tLcEi1d5d2VwyT645mdNbzdHq8pFEULhk+mCVJzYE1qYZEw7jM2DvSbCLYjhkTXnxBC5Oz0DCQSojdRTV3ycUQxkARCjJVJNW/SGnykXCwFGGp7iUuGsXBzs2e7HSlZKKXul7HzLJTgeprNMUIxpZh5NCV4LlhozdtpzYTeLHeCr9PTM/d4pIUdp+Ai8zXuielj8bErlIDZiO1v0AJFjIL60O2YYFQ0Z/J+z/bFS8Qicn2NmtKXwinw3ukpfdiwsQ3RArETpBdS8pyy2PecPnqfLvQ8PP2IYB1bC9gYeO/8AY8uOnJ5jO4G8rBnu71hP+5RvBuuxR5LEY2RIt6WUidOrKqJtN5Os7Kscp+kGaAWx2+JvzKNDXKvvnrztmAUimJ4FS2lQDUsflbfGErObmTEQbmaJxunlIghkGIkxVjzvDws2InrUdclRsFzDlWxxoBVY5tioK+GTySA1VywUuZ8L6AmhdVkfqmD7StLEYUY51LrFXrdI2nskhyCr2NpLKs/Zc4yaW1MFsFKqKEeLzLxPklRIogilEVuTR0NX1MtYgyzFy/znFM9Wk+bOTnlhtkib/J43fX/1gNsEUCdb/Ym3mCVd03cZs5MqP+cxer9y5DypHdmPgoIFs8UzxHXTA5KHoFkJNs4+xUjQVLN8fZG6jEGojiQdz2uYEjm66mlaoBRxpGSB2/eOo4UTZilysI2AmaOnDjeaaUhDQf5+g919s3aeyf4Or+4mD5IN0xK64dk6hOVMO9OHywwWmGXhZID406RPKD7HZvdFsuG0RFEOImBWCC/fE7II9Iluj7yU+cb6E744MMHbE471E4xesLmAWHzAEvRO9OLcBp98zjlHNFIfhCwAc7KFd32mpef/RZPf/jLvPziU65vnmMhcfrBe4xdx3BxQRbh+bhnXwrbUhhLwaS2sQhtqrlRpvjvuhXcJ5mLJOplYrqoJHQqWrreGa+UoBQsV3bTzCtpxwFDiZtTUkycdxuiRHJtaYLNLSkaS3HSb4ghctZv6FKC0AEVBE19Zy5QLew3m6nKtoUaRYRN19HF5LkQuZDHkbzdOuOl2V+3NiuTlCDVAd7VBEdTzLzPDcBorODrHkmMDpZTjHOLEqi60uZ8MlWxThm3Upmu0NiDOSxiVqAYilKyG7YYO0I0Qoi0qkpw5ssLRBZeSQ1Nppo60vZ+aa/fCkO01OkPbTSMzWGoOS7pb7TNJa2iqmTLtKdMj63Kez9kchQW4bjbzOYyNFn1obG5rRF2JHgmhQWCClKM/fVAToYxEqIRy54gmRJGB1ldghhrbm+YeoWpKsOYKaoMeayNtAdUM/vrPeOwo4yGFWrKiF9fOgEv/zc1qxJvmt1a4KlR50v62/mqUOFO8NVvNrP+W61yxNxTD6E+JohFjESxgtrgsxxNQQtdHtFxJBYIOKKMQTxWu79BUeTlE+Lphq89eJ/u/IQPP/qIk4sz9nJCpif0F4TNBSpCDoEuCBd9Ilqgz72zbSKwV+zFS2x/w/7yGS8ff8b1y2cM4464OaU/P8VSh216isF23LHTwlB8U3PMFabSajVz5mMRo17lfkjb56v/hOGGp10ofoV7eEWCA22kHGwaVjIWIJgSgT5GJEbGHP1FzK8FEeij51qd9j0pJrrUEWNt/WDUtg+BEIUu9KgqKcQJEILVUUJCDJEogZxHyjiiWdEx13EYc7NKnyfmIVSTNsDbJqai8n6Th7bK/ZBWFduqxieVrDrdclzm9PXDSsRm11oVoj9fp6R2LephxeB6HKaQZtVDiYsCo0X4SGoz19Betb22tCQXd3JqbuJEPrenL6gtW6yPtl7zkM7iGct0t1XedZEl3zWD7lc4zCmk1DZomXS6PTsGj7RRHNirKnnwNj0hF4IKZpkgClIIuNMZYvRO9zHUcKP3+9wPHmUYylgdcHcS9kNm3GekhjsFjx62fVOBYs2Fn29tsS3Cb8stdo7I3yl3gq9Y854Cy4vdyHisVk1Q9WqEXTFGVYbiicmDZky9xUMqhY6OKB1RlCAFUWO3vULyDSLXxM2GTdoSb85J752zCZGzhw8Jpw+RdA7dGVlgEOgCnMU6FEMAKSh7Shl4+vg3uX76GU8f/xYvXn5O0YH4YEPYbOBsQ5HATR7ZqnKzH9jlsSYx+4cx1YW1jUHATCi6Wq97JXVYtYfjHKRIiFgoqFaTYXgla+yAgOZ6aVWDoKN3Oqbm05Cc4o5dqnPxqGyw0FVWq4/JjabEaRYfNOe9Jcl7In3f+dCLqY+TVVo+F3T0ysZxv0PHEdNS2Yda1Fx71EmM7uVBDWHWkLmCtsHievzhrPIuy0mMNaIsk2Ey8V5ec5yxfreNRKp3W2vaG4OPUUEX8xkdYFkt6lApNQwzv9by1EznXIRe2ssfBTy1te/R6uDYrHZTmD/Ovb1kemxe9/w+Gqz7KkNaVnnXxPe41iLYvYYDANZC04uUJk/8kSOAQ21bkqCB+hwZ9oqIhyIRIZo/c0w+bzrGQEyxtuUplAqy1LyqUjFM3BkZRyGXWJk28YiXUAcgetuf0njYqR3/HMqnvo8ZOUya/cbP6U7wNY1Dqc5OJNYLQhFRchGKODIcsjEojNnIxRhKRjWT1TvK9vR00tEFow+K6A37/SUy+mTxbtNTetDhAfHqE7rNGRePejZnDyCeQjxhEGOHkcQ4DTVBunpb2bZk3XL9/FOefP5bPH/6KZdXT0h9R3/eI32PnfVoMXbXAzc5sxsG9qX4uBfxqsmW0yaVU2/9Zlbsdc+kGa52PUxT5wM2be6tjUh0PQqx5lTVPLFc3FDVRryBE1LXITHSp35hB8WBe82JbJyAyZwDcxBCsZq7GFO9P0JjrBTyOFLySBn25Dq5gVrpY1TGq4IuC3WskLZkbPcWCQ6+PEft9+kzX+XviPQxzOxQvSkNFM1wxKb9CRq/YKGCr2ks0OLE1aHU1vNQCtRmwRKmFzh4khvB1zGnMyunapSpGrcxB4v1Tukci2dPIRo3aMZs19oBLdNylfsix18w1UeQiYVtxNCkutNT5tbSUwgziBeTlOARgiLY4PhjrHZatCBm5Og9vkLL0a0bainKkD2c3bobUBnlPApaEhIb+GqvfRQpOVjqQqcP3sCP5ircCb6un38KGFE81yuag5OdFgYtZIvsrWMsgesxUTDGMKA6UDCKGDvxN9GhdGKciSHREIWND/NCxj2mmeHJY7i65nl/xvD4KeOLHWePnlC6M0p3inaJfNoTNbMbd0SDzjwenJ9fk7d7xuvn5OEGSYHu/ALpOsqmI0vHbhi5ycrVbscue4UPanP/DBoAm9tXtEP0dfvPKu+kzCHHKovSeK08can5WhKTH5nUR1aNo4chFRBzBsy8y7wBISVCbxACIbqLIjVU1CpeFhzqQubqtKlKDaby5jz6GKyy3VH2Ow815gG09dhvgFJqq4zoVWU1F0jVphmPVgwr5g1iy1wivcq7LwJT1Aap49wawNE5SZkFcyB1D5taOCwNSVhuXhXhK2jJlfEKiOLz9cTdjLaOZiin5OjFLui2rVatZa1NW3WuYmwO7FS1eYQFxRsQa2ubZFZzZ2xyWkKYMo5XeedlBiHN4bTKYE6Aqu25LfldGrbXqvO1rU9lfEMd+F4QrIbJ5351FeLXcWs5GyoQihceNfDVKit1sUa11kUvTHuqinjbCyo7NvXzkvldySIU3vxpCVMO7jxb9ffIfL148hsARBsQlKhCMLhR2KkxSM9OTsga2ZYNxEB3GjAymUIWuETZY3SiJFEeRaNTCFIrBLQgux2YsbvcMkri8eWW/vSc/SdPuHj0EUN/ztifEy7OCB+8B+MeefmcZMrDGAkGeTtQhpH9iy8Zd1eEFNk8fEROkSElbkbl6XZgO2ReXt9MeV6y+PBab5FqcylHt1XumzjIaj2HlnO7ihmlhvlSLVWOGGhtlOqdI/3aHjLkjNQmqqHrXYdjRDb9VG3oIL7V2SxNFxP4a4wGgFRaTnPxfITt1itutjfYfu/GTNtkBn8/Dq4EQsRiIBu1CtIqq2G+iRTFRh+yPYx5dRzukSyhhqlRitV2PhWE1VJ3mIs0ErHFexz2TP5kBT4N8asxNT+tpfKGHxOooXJswVgtcdsRBDOrDVlbgr3NTk59rizBlzTew49wcqKut/Zrav2eIopPTlmB132RW+A1E/XFnHLRfs4hx3mPNisT0NfKfGp1KKvC1H5fRpDC1KugXh/esqSNjvM+jdTXa/umXyNax8ZF77sYvDOD1r4HzU64k9zewxHTNW3vTdGXNce/R/B13l07M6VbxIonBKuwK0YZlG0JvBgjhZ5Rzr2/UH+OhJk+HDEGFGUgUxiCkDs3CqQNaEBCnZlU/I3sh4FRjfD4McN2z747Y9+dOfjavYBxgMvndBhDTCSEVt2jYsRNT9Rzkvb++gZ7G9nmzC7D2DxIq6C25SHUPCGjOoeKH6crc3DfpNqhaQZe87xb1aGkRFCvdoyqPmQ1eif5kkcPg5QygyYDSk18N9wTixFQp7i1qyCsViJWj+rASZpiKg7qcu0+noe9V+Ds9j4Kq+WaLZLr/U2FOdzYcr/apiB+wUtoFXK+YYkphxviKu+6tK27VJZWTSvwqnsRLJhcIFDbTsym4WC/WpRgeYfuWQ9FDS0yp5CZAhFv0ttaS8zc19Sx3hrYX8z5XXr8i331+N21u8zmxqwHi16kDJisvNd9kcN2KBX8TJFHYWqNstiPp2OZh7w1/Sw1jaKxYvPRPns51Nm9LT1K1cPeUYQocx85QaZZoj771tnWQINuM6Pb2p8cwqe2xx693+m9tD8mL5njM9wmd4Kvj8++BFN0fAY6QO6gJK7HkeEq8/wq8zsvBoinhJMP2Zyd0Z99g9QFTBQV2JtyrZlgO4RCHxMPeh+ObfEBqBH2FwRV4jhAKVxeX5HHkRePnxFI7NKGbdog56fEDx5iecS2L+iAD1NHHxMnDx8Suh5Oz+gfPiDzEDXhZrfn6mbLVdnyfL9jGI1dNh/n2ACstJ5PXv3mm52Ha3JuG8uCxVjl3Rdv8uKJ9nHONYkxEMTH8NB1SA0nYgrjHssjpWTKKIA3iBSr1HjOaM5OUe92SIik/QkSA92J/9TUe6+tCoImVtXapmIe2lQjDwNaCsN+i5aMDgNW3BEJ1Ui1XBzDNw76HmRuLdE2hRaeiSlAbLkSNedMjNV7uD/SQi5jnfOZl2Hlo6prEw+PW6hMGEw2YBo+AjQrOIVfzGj9vSQ7O6DWgHtCWgJyCDP4Mu/l2H42FsJ1u7G9vo7WS2mZk3ZQjw+0Xort8ZZfO4c6a1n/KvdMDpmhQ/6rqcDcw24pE/DSeZi8YB6ZkEQQ8xvQRZ+8k6Lvc1qvlyRCCsH7iQ41vB1jBV+1JU/xRHytGKlgE9s1v4uZ7Vqu1ZZOwitvu2U7vrkp+53g6/0Tv/A04T1iRrACLzo4iUaykbK/xpISwikpCaYDZp5I7Ot1y+XdlTKjCPsQ6EJkmwJRIVvw3kQxIJrJZUADjCNIKeRae6B5YLy+AsuQR0yE6xDYBxh1JKoQMSQEBguMEslSKEQKEa1juf1WWJqjA6q/Gsr5dttRq7zL0m82PtKn67y5r0RozUajONMa6ygg8MGqAhoisd+AQLGqI9WjauIJzdVgjRnRQA6Dt6zIthjJ0pqehtmjMw9smyplGD1kM44eOiw6J9YLcwVa2zTqiAzPT2irWfAd0viJWYdbftsq90dyjcHpZBCqiH/bThLd8p3awsjpEqQ1sFP/k9ajcUJmHlqZWF6t41R81p6f2h9v7SjQqmnHy1hmUS+2S09Ra2EcOXy8TpHAZqPcbp43tu6790Hk6Ps+eIwFi3mUab+MDjSGbIZqjYkykNYK3aaKxIDMo4kqy+btIXxYt0pTrSXMXyb1t1derH169aajwsGKFuBrGrcoC7/CmgPxe2C+/r6vn2EUyniDqjDue3KOYIJmeHl5id48pYQNOipiD7D8PsQNgk5pMEGMEjIaRm6i8SQaNymw7yOJyOZsQwTOpBBN6R+cEMaB8vwavdkTNh1df8Ju3HP55AtCF+jONoxRuOkEiUJHJgKnonQCA4nREtei7KUwBvUwpwmEnX9JVuqGVQ1c+4Brk0CtM/5gNnGr3A/54MOPERG63kFYVs/bi5KIEohR6GKs2EZq0vBIqcxWGffsr15Qhr0zUjl71LBR5xWQjWXnV9xuXwFTdNYgSCXeQs2jqbk1pkAB9XwZZw+aEbNpk/I8nEiIAYsR6zpUArnR5tVwtpyftlEVM7yTgLiDYUwGdJX7IdthPMQuAgQh1CRhMfUmwDCDmdaqoeU0qocqW9jjyeclAAAgAElEQVQ9TGkVOPNb0zy8SbDNgE3mcElp512Ey+emAZXhaga06viUX7YIv7Tc2nZ/aBvtQS2jIkGmUXatgeyUuL/KOy8zlLHFX4vHj0DXYWRu+VjwZHprh2h1JL2tj4Sav1XTMrIu+twhFPMxQmYLXbUW6spAnXSDTAUj03o4/rU12GJqtN7AV+32WBtnO86J1GsoHIZKb5M7wVdXvZ1MjY1WTzpSRw1Z3QhMa+ftDFYQCkFm1BmCeLft4Oh0qNThFiVKoASnCiUICSFqQpJh24SN2cHXyYYshbCvlHYXsRgpyX9qzXkW80Z9Y113NjyxbsEieGOb+cNpcd4p6a/+vYTvMu0eq9wH6fseEGL0JGKp7SOaiyIL69b2gElPQsRCrPMSC5JaNrAiWlucTMqzDAU19kkrseA9xkKY21u4AXPQZVOS8txksHlkUofBmkRvJSEBFalVtzMbOxsmnV2z6f00WY3XfZL2nS6N1bzz1BYpISBmcwsKJvzuvy9+TtD8AM3Nz5mGT8nssbc0i5ndOvLmpbEZi9VN+S+trbFN10d7LaG2PhEgvAqrpgo4WSjzKvdC5lw+ZpB+xFoehprr8becRFpPu7bftb0RQ5l7wAkzcdpgUtsfp5zu4xcT/2XqK9ZUrbZUWV5HB+xte3O3rffgqOOT3C53t5r44hpDyWVPsT03N5n9IFxfCuM2QEn08ZQSEjlCF4xOConS0m3YdJGxTwTpyMkrGLYIgxRuyjVRAhv2RBEuUqAXiO9FTiViFOgDZ+99wHsPP+L66pLwNGEpYhenlBC4SpEiwlAv+p0Vwjig1aDttDDgeJcYQAMhBayEOkHdKG22nhmhlkq30RehfrIr7LpfcnF+DrRWIcYonlpZSqHgwDyMWpkhz6nJtVy+jMWblXanpNRjOYNmbBhhGDyRs5SFYVr4bVqma68BumUYBXCvDiaPy+r9Gr3gQ1KC1h1fAkWEsTjNnut4ofaKYTJW1WA1pq1x4EuguMq9kJhiZahqInFpXrdg+Ci3UGeWeliZKfdKW9Xr4nxGZfPVvHBfHEopRkt+PtjfjoiA+WczVzBlGdeyyjaXtBFfxWzKqTkczeZFUYA75IuE5TaL7xDMrbp7X2R2FWbuayoDWe5/tL6/y73pENRT81WXs2wdKMmMk6SljbQB8i3x3mp3Apn21kOQ1BzoOqNUmCcyLADYBLYag1Z/Tntu8Bm6E77UuSBlHu31erkTfA0757wG9VL43R72gzCMiVIEM29QaSEQW7U9nlHVVtSGDJul6cMyqHOS3BAKmSjCQIQglM5zW9hEGBPhpCeebohlIJ1s0BgoXefMQIw1/rtI0LOZpsxmU9XEtNE0Cr75cjVxVILU/pqN+aJe/DOhusr9kNBGBk1XUmWo1GfOFRRpycO17UguftFo8Qs+hUigslYanKIu3hXc25EsZn5O1PX8mtO2YnMXiuaZNTlgZCvb5fPJKuNFQLEph8FqIuqS4jdzdnl+/fazbTysqnufpALpVkThLXncFWyMreBFHKH11LLDGyyc/AUDdTAkuL7cxLa21290WVvMMRpb3jtZ3Bl4tVvz/m1xvMBcTVbX4HbjMNy4fKU15et+iIhMutf8vga8DvO8bp9cMAcJF9/5sWOA6w9yrL80NZ8qGOfHZuBl2CvbYXu+HeydzKBrcdd0oqbsNF236RyTCfi9gK8nlz4D6WbMjJoZygmj9TwZhKeDcKUdOZ4gMbLpN5x0HSdAD141KLA7OSOFwFBGso5TF6RKCxBE6IJ7Y10wYjCGoN6O43yDdBtenvSMYgxd5Ob8lGzGPhdUlIJhoYWXhJg6QugZxoBm0FI7L5t5R3FTur4jZCi5JuZprUwQAwtTNdD0xdC6f61yX+TZs2eADwkWYCiFUZX9sGcYB6xkH9tj6sOApytYiMET5ePmhJA6NBbMCil2xK4nYKQKvPZtYOuwdy9NBR8XtNxsZPbYJhAmEJJXJE6MlzsfWh2aXIxBdXIIBKOrVTsi3q8myLwPOCg8GtGBvHkXWOWdkrblp9R5G5PBv02zgNVME6lMUUzVeSg7z2FtO9ZRzkvTAMUq87oYhj2RA66r02BkcecgLDRq2TfJGS4//9TmztzBaBZI8IBDCw/52hbsRhB33IMc2IZ1t72nInNBiIOxgweBphWuBDo1Ml3a2/pwdUIOz9PAnR3iOZjc2rb3Tg5GSzeBQyBvYJW0sWPE1EBkfcVluHSu4jUMrW2rPP9szlV8s9wJvm4Gp68vB2MsRpZAIbJV2CmMFrHQ+ZDWlEgxkoBkEGozyE3qUDNCDIwafMOoV5epR29TqPdL9qGWYoxiSJeQENknZ7fGEBi6jlwKu2Hw6gn1jAWJ1VuU4BsW/oW10GJjB5ylc4ZhilHXURymOo/FmKPW0xcrqxG7N7LdbRGETfIGqkXVcwHHgd1+h2afnWh1ALyLU9191xNDwmdDxkp/B0ISUoAk0AfxsErw5qtjKZhU42eB5c4w+27V0LVwS+j8uFTz0ir4Egkoglqh6OzSeShfKiXfWlm4pi5fZSpynvR1LRe5T+KGy7/rGAM5zMwXFifV8iHs4Hm2MunAwb5l81iq2fevWTOyGPeztErTC7Bg2gTPK1xq0uz9N7TWgNfytMsWEksSbequHzxZuQG0luN/K+uwyrsrU5pD+50D1suOj6UBcXv1cT+oHnorVzWd5lVmjKNjfV0HPeMmVnbuaHCcgSjT+qpOTuueQ6hWHW2tmEcnD5uja+VVuRN87fQhasrloOzLiKZzNPbkJMiJ0OkJ57qpVJ6C9eStEIqxCYkQIycxEIKS1NmzUBPbl5tFFL9oAyOCMoqRDZCExcgQTuikowTInZEZ2dY+MyErIsJYSm3uusUYKJpQS4y5NgWsm5nFQOoSIhCjD0wec/aw4/Spz5tSK61+NU1wlXdZLi8vHYSfnJJimmP7Rm2g68Pha6LM/EQRsilmhWyFaMXzVkToukQfEhdnp3ztg/coJlyNym4/8Onnn7Hf72HYQVFSbBVmflOrTQMXtLgSptekjslCq/rVcUWexyXVZFYDDFPlpecmau2WX/mJSov7UFqmvMVV7ofo6G10cgygEcwZUlOh9f21yjZpneXoQMpZrSChMl9gxCmF4thzj7HuwMUNULHXg/TZIXVpHv5sFpe8Q91vkZmio+bvCNiUJ+b5iaG5vHWN0yW5CC2tcg+kAa1qS5fUxes3IFk8NvP1B4EDmMCOA5/G3NoB/j/AfQvkLovnz8yUTso2gS6btXj53CV4czTWmlwfFqGo2dRZn6/Qn+7unC89Q62wLSO7PGLxDLMNOQrSB5ImNppqM7M9WKIMlYreRIJ09LGvHk0m1AGYojaxVIJUIt3A9mBKsdGbCkpCiRTpGIlYMErsyQWGymyl3ChI/0Ky7ikWEOlB6kDsqhNSy7Ub6IohYqEOUVZ1A414/yc5VoiVCL9Pst1uiSGwickvkBgxWrNT5j5Ittz4fbKn1hBfG+PS4LfEROoi5w8e8NEnn6AETka43u344mbLPl77RVcyMQop1pYTIZDVe10UsymMWBorq/iiijMeXk1cc3oq3e2dmatpWzT8NS0TeJTl/8GvrWlY7CtlP6u8q9JmLmqOdYyQty/BvDO31nmzIsY0oo7GiLaQjgN66nHaIioyHUqseYI21Rc1c9Kc9qUFnGow/TnzQXNopg2kt7a/e7i9kSDWwkd1n53bpLDIt5l/N5OD3LRV3nGpwGPK/TpAYDMLfwjEbqGuFg/Np17qZXCbP/3NrPKV0Trk2ubIwBKoTTmSB2u7TeqEykX4cnnoEmSqLbDDGxT3TvD1LHeoJfbyHjn5eGwz75mUzSCc0PcBTYUunZBEKtskXF/tIYzsRBiBsSa/U3tnNU9dqP0yzBAbgIJncilDFnKBs9MLzk59LEy3OfVNZvCBw+0D9Pl2WgsBlK7vnfGgzmYsSs4em6Ua1xgCxMAQZOrQ5mEomcgvN55Cl9JKHtwj8U7eM6XMgmsNOFMQavPTWdx4HU5nnL02wSOGMUb6kw0leJ+62EW068lxwHSLZSXVfK6YEqnr0JxRy2hRxpLr0PZZf+urew5kglR72RQFTLDStpOmhe65iR131VlsEDTXYQ073idxZ7XpsGIUEC9wcs9/NmFe56ETQx9i6ynn33wptY9cNYQhBLouEoLQR5+Vt88DnoAb50VM9mg2jo7hXx9SWZows4b3XTt9L23NhhdmsDk/HBrEVg1nt7zOKu+utGYPR9TX7UfKYeGb/z/r8qHYnTo3/z4XcxyTaMvq9IPnLEOFr5X2+jPbtnRNKm0z77N3kX1V7gRfT3PvAcVwhiIUFC3GaOqNzEKi7zt/JfVWDaUUNBu7YY8a7PAclOyO/cEssOaO1baRiHnY0YJ3tL/ZZfZj4dEjCHScnJxwdubgK7TBw8UrFYdhh+bSyijZdEKfKvgCBoqP59AW9qxjCSz6BHRp08/r0G9lYi1SEk5OurXq5h5Jqwqcky6poZA5H7GBL/fKQSbwJTQTNvc+kumiiynQn20oyZndlCKl35DDnqJgo3LaCyFEUtd7j7ph9OIPhbEaxFzyZCQBUp0tKkAXBTWfe2pFoCwC3+0NtZDj4n3PZfrTaStL8f/P57zK33kJdRv3qltAvCbcm0qGKaTnW6guqCsIseWytipIRa32RQo+XqvrO2IQNiliRRm2e9TqjNJGUyE1g56qO9XEVKZtyoFhoVrL6jDm3nfes6k5tLVDUwNXOut/662oC4fksFJulXdbFsD8jkQ9Z4Z88ocXDjVZPmcJwBqSOTxn5aOmIyZNuuWlbcleMYP8VzfH16NGqQCsMW5LNu2Yz3Ogd7fe3gm+vnj50l9S/IJpF8WuKHs1Rowdtfw9j4gaXclgitYKshLrWBSJECIlF0opk3dXp9b5YtUToH2gkDKO1UjlkWEcnEFAyBYYiqAFrPjrD+OIlswm9KQQ6fsTTjbnZHOwqGrEGKdQEjp/8M6GyGSsvczbu6DHTkjJN6x1D7g/0vSq0pkLkFMLJ9oNmjPj4GpxvTcgtoQ3zVNrl7zT3/O52ymnga2eOV0T6d1i1SOnC7ZtIp5k3M6l9T3o9GqNUWjvqS6Ig83itSz+qrz3RWqznjo6hbopFYRAFH8cWt83B14tSV+Ch7qtMmIItXfRIsRXCmo1t1EXObHRc7C0+OzbhdZXe2qLexoTPFe3+dqXZrMZp5nZnRpgsjCA0/lmY6aycEvWjPt7IQGpurbkoOBVcDOHEZtuTbL4qlv42vfMJWvV2H5bqEZL52i6NZ9sPmQ++aEmL2mqN4BGmclgqffNwMsdjePXf53cCb5+4/EXfsp2jvrmhgKDQhEhR0FzZtxvES3Ece/GTjMI9CenhK4jdifE1JNzZhxGQvAqRwH3pkzRvEetsBtHshVMEoTAMOzZ7rbEvicTGC1wMwRK0cqkFcb9DsrIydmGTb/h7OSci/NHDKWwLwVMSOmSbKW2l2gDYaVWjtmcXC9eZdR1ic1pR4yhMl+rAbsvMoVuzFlUrFSr4JtDG6vSEmEONvnJIFRqfAqRV4pc5g7enm9YAZ7NKceKUMTHWFCHtlOZhWlLaqGgacV1Pe5VIGZTPmQzfjKtb5EYOoWGDkHYKvdTtOpYMQf/zni1dg5Cq8rwEUKl6l1NQg6BGEN1lAULrvpIg0JGKaOrGDY9V0RIKRJiZDDPI1yapBYmmnJqKtjr6jHTFBRadqxM1yBqhGDEBWg0M0ZtOTLLcL/rcutvl9fRWPdGGgjxautX+2kdB+rckQ2LR2aNW4Kq+T6dd70D39P/aGPaWppJ+7/t7bdqknDAUB2sefFHTVOsuYw1h2wJwl55zpv19k7wtd1tgTpvy39DEHLxXKyMsR8NK5kyjN60spbjeBjROy9LKWgoIKWCpVZdY1O3ZSZKL1SDVyt2inmGaesHUkMznimmU/J0+wJiDKSUkJCqB+mJ022C2VS3WOPNbg9rV3BtoMymhMEYQm3Y+dU+0FXeDZmpYWZ3SFo+yXybKsEWTlprxto4KYDFfIspN8Xd/Mo8NI9+Oud8O8BBFXG9Zivw81NHecEE6GbWzn+fku6nZS18uQbEZN7SVvbg/ojKzAGZycSIOgDzohCwOli4doxvekHbu+a91DfZeY5dY5vKxE95v602EN7zbpuBmW+HLBUVgE0uib+WLa8ap5LDZKTqvUsnx1rHcG9nHGWhr7b6EPdJlp3t218zfmmMVzu6FWao72U1gtD6bU3O7QS8Zr1tLC/zqaiKN4W6m6Nqhy/6yor94UNGbF7zUgHn7gw+zqjZlEPgNhF0X2G/vTvh/tkzBOi6jhgCfX9KjB1jhiELu3HgathXL30kYGzEC+hjrKXQ6nlYyojkSg2qef4Y6l2cU6iJzL6cTkHIjMNALhnySKiF+UESIkaQDWoBzXsHaJUd6DcbTs7Oid0GpSOrMBZl1ECpjETNYSakDlEjJCUg5DoOo6gSS0Ys0afOPbFSXv9BrfLOiedtzQmQjQpWa0OHlewTqJmGe5kzAKV6U238z9TGYfIDPPfRpPi8xVJ8TqO2YeylNly1Glqvt2qFTNpLzrBpStaUmiNJzZGkbTx6tMn4wXO353mjaB2iWyHc3VBvlXdNWguSYFKbjlY9qntrna+AmRGD1hmP3oPLG0bXxPsY6ixSQXNxPV14Gs7cCn3fEUKsDaoDJpmi5j3EZNLeAy/fWwNBVCXIIjQvUmuGZdL9WBtixvp3Mc/6cAjpubUpBu8RiTtFxayOiNODcOcq77a0NlLgGjPlWrHEKXP/ebOWi+UObNPftp9VP2Lae2EONc7pgBVoLcBZi2bM2OkWAHasVo4Bp7UeqJ0wte6p3nF7w4vzGxC+MkdzJ/jSWsIeVaewx5SjVi8SrZ7/nLuFx32P36E1LHv4yIx0hZbM5u+1GcTFbf4cpv8npNkeE6mjVuauuDb9vmAC2ivI4gtaLGwek+DfyHr53y+5LUTcAFj7/eCRSU3n8OHywJkBaxf/bRrRdPmWu7+CNBC21N27TmTTz+P7F4zdSh3cQ7njS2vWiNtGtCz04DWnWO7fxwdP7NXveoULnTu0fBNoO+BBbD5cDo6t+rvcg1d552VmjJZ3HlhroLVieAUJLPIG7eDx5V746r64BFzLx18FYK+0NbnF9t8KvBbv77W6uLguv+qmK/fFqxCRvxv4v4H/xsz+hbe9nlVWeZOIyP8M/HHqXHfgB2b2U29vRaus8tVERP454N8AvgV8BvxZM/tf3u6qVlnl9SIiV0d3nQL/iZn9ubexnjfJnczXOyb/MfB/vO1FrLLKjyj/ipn9Z297Eaus8lVFRP5J4N8D/lngbwDfeLsrWmWVN4uZXbTfReQCdxr+yttb0d1yL8BX9cKeA38N+Mm3vJxVVllllT/I8m8Cf8HM/rf69w/e5mJWWeV3If8M8AXwzrK1bx5A9JZFRB4CfwH4V9/2WlZZ5Xch/46IPBaRXxSRP/m2F7PKKneJeNfLPwZ8LCK/LiLfF5H/SERO3/baVlnlR5A/A/yX9g7nVb3z4Av4i8B/bmbff9sLWWWVH1H+NeAPAd8E/lPgvxOR777dJa2yyp3ydbx9158Cfhb4aeAfAP71t7moVVb5qiIi3wb+EeAvv+213CXvNPgSkZ8G/gngP3jba1lllR9VzOx/N7NLM9ub2V8GfhH4p972ulZZ5Q7Z1p//oZn90MweA/8+q96ucn/kXwT+VzP73tteyF3yrud8/UngO8Bv1xLPCyCKyN9rZj/zFte1yiq/G/nqdcirrPIWxMyeicj3ebUXwCqr3Bf508C/+7YX8SZ5p5kvPFTzXZz6/mngLwH/A/Bzb3NRq6zyJhGRRyLycyJyIiJJRP554B8G/se3vbZVVnmD/BfAnxORr4nI+8CfB/77t7ymVVZ5o4jIn8DTPN7ZKscm7zTzZWY3wE37u/bx2JnZl29vVaus8pWkA/4t4I/gTet/GfinzexX3+qqVlnlzfIXgY+AXwV2wH8N/NtvdUWrrPLV5M8Af9XMLt/2Qt4k96bJ6iqrrLLKKqusssofBHnXw46rrLLKKqusssoqf6BkBV+rrLLKKqusssoqv4+ygq9VVllllVVWWWWV30dZwdcqq6yyyiqrrLLK76PcWe34V//SnzYVuNl0WBf5zre+yUcfPCLlF6TykvPzjvfe2xD6RDo75ebxS37jF/4mz7685Bf/1pd8/mLPrz4tPN3BH/4Hf4Zv/dRP8bM/88f4uT/xs4QAXgQGc+ujAqZ4gU3x5VmEm5dw85KbZz/gxWe/wub8lEc//nXCpofzC8yM4fMnDJfX/J9//Zf4/m/+kF/+25/yve9/yQ+vR377ciB3if3FCacPT/nxP/wJP/7ojD//R7/JdzaRZ3/9b3Lzgy/4a7bhb2nHy1F5Pirf/e4j/qE//k0++ugj/p6f+vvp+w0ffPxn1z5N90B+/l/6ea8kqd9WUUPVMINWYyICIuK66H3kMAMttuhsZIBhy29dlr8aYsvjBavnQmw61Mww9ZvqXOQyH9ruM+bf2mkFZD6vWT3mqFZGlgurb9QMtN713/6V/2rV3Xsgj977YNam+o2ZGcfFUbX34fTTFWY+5rZSKgky6a9p0wyp55i09ZXXWsrrHlnqnyzOddv5jk8/vQeO3pf42p48/XLV3Xdc/vF/7B81M9/fFDABEyEEQQRiEFJTP3WdUFy3x1xQVb9V5TAON10BZNocX1EgYkzEGInBb5hh6uctWvz1VGnbtbX9sV5b7b7l+Q/0NkS3FzEgQUgxEGNEcBZL6orF3ywiwi/8wv/0Wr29E3yllDARTrqIpQimjONALiNSMrEEzkshaQAURdlrYaeFwYxshoWAxHpx22xO6lttHylz/8nlLVQLGfyNp47QnyBdDyH6/U3quWMQuhBIIRBFiOJfWPvCsXmLGVTZqUO9rQiZiMQEJYO4Eu33A/vdnt12S8mFVe6HtItm3tSb7glms1FbPOHgYm+XnJgrkNgSgC1BzqJzqvmG4y9QVVL8oqwv8XqRxRMOzJssftjhQ+0Pk4O/pzPY4WGr3D8xW+6NsNDMo5+L57zuZA3UIAuI/9XkWCvfLLcf/eZzvPq+1or8+yE2gab2/xJQ17+qItkdm9NS43/Ub36pK/Y6J2J6ATk8/jbA9eYXPL4Dq+/1Tee5E3z9Xd/+NkGMBxuIQfnesyf85me/wxf9yJd95ru7jj9aNjx4cMY3HnzAjV7xSy++5PPnV/zafsuLopQHjzh774T+tCdSEMsYQwVdhmPGBqJi/elgbnrsJEB3Sn92zqMPPyQERU4UREEK5JGgmU4zn5xvOPnwgsvHp1w/2bDdG5sywgjsCuGkcGIgWviVy2d8sYcfjsqlbHh5+ojYPSDe3BC54vnLG/6vX/pVHl2c8ezTL+hi4k/9/L/81b+YVd6aWEUfWtR/mhsytRmY+AWuTrYCbbOwBmam/aEBsAW4qg9P7MGtNIMDKv9h9WnNT5pebT4+HLzogVsyv68KIq0Z0lfNlWO/mR373Wxiq7wLsvxml84pi78P5XZTxsLyUR0CqWDsVSN4QBmzMJy4/t3myr+RljoydMePLc/SXPIlS73Kuy+l7oW6uM8tuBEq5G92/xh8TaxRdVWX+nT8d1PlyQ05cLCVohkzXbD/ixjCsdctbggUQ5sheCXM4RdAWD63scymvnpZrFMNKK86+EdyJ/g6OzslivFhryQp/OYwcPXyksdn8CnGw71xtVNSL+Qysi8DT4Y9j8cdV1bYCYRNYpM2pBQIqBs7dPoabnuTDsLCfF/sIEZiH4hnCUdS12AZdAcIoX7IZ11ATzouusRZivQhEE0IalAMUSOoYao8HXYMBp8hXIWO0J/RnT6gK0o37Cl54Pmzl+huz8MQ6OKaIndfZPbCtFLKwe+rIGza3fGtYBkwqXfOPw92Anvl4dlCVPZKDs92YECqxyVHRsVu+2thN20CUY29bT/rdrUIPUml0GWx1jVmc59kCXwaaJGFWt0FvORAl2T5n8dEpqMnsnWmbG9ndw/ONeuZTa94uII739YxcfeqC3LkLKzae19EVWf9EJnU7fg2RfZeAf7VyT2KLDA/eqA3BxCpOhKT021agwW2OMnCE10uRKiAiWof7OB9LF9NZI7VLRdpjU+eKDt7o+NwJ/j6lV//f4gIjxF6Alf5a/T2bX78UcdHnyQudp/z5bPf4tnlFZ89yzx7cc1LjdjmjO98DJYFJQLKhyfKw1jYBKsGQ3CMXJg9uiWChbsvusogSISQkNQRU8cmBkqATkdkuCHmkWRKL4nzPtIL7G9uuJSB7z095XQT0fOvwabju9/8Nj/24cc8e/w7PP3ityn7M/J2w4PTDd+++HAFX/dISvEQsVU/rAH+g3g/1eOy2evygw8vuGN24CA/YAm8ZOlZzV78vCm00+hsUtp6qKeS6a9pr5if5we15x3IvKMtfn6V62iVd00mDVpQTm8kjaq8ohbc/u270z4ffcw3TIbx6IRNv6e7p+vo8B3YV1I5OTp9PVNliw8B5yrvuhTz6IAE57lCBSoBcQZMhCBgobKbVvl5E88sEsM0zECIQ3L2mJs9VJ4ZeHk0Qhb75OyE2kLnDEEkAEYI/jzf2+3gwhFp6U/NLlRGb7preU20vOI3U7Z3gq/PvviUiDCWSG8dw8V3SCc/wftnG9IHG4bHmcub36DoyPhkx/V2YGcR63o+ehDpVBhzQNW46JSTYHSH8LUu+RiALYHYqzjz4H6JIAUJEUIkidCJETRDHhAtRCAJ9DGQgpH3A7uoPLlJbApcbB5ycv6Ar33yDX7yG5/wtNvxSJ+yv0pcFbjoT/ho8x5dWsHXfZHpIpr+r/fX/2fAY4uSX1tcRof+9/GvtyVANzmgtm1mJEQWF/a0Wci8FqjJpm2beI32HxBjdrC2o16X4XEAACAASURBVKXWfMdDNm6Vd1wa5noFeR/e+epvd234szV5vV2Yj2mh8uXxr4RsjgzbvJbGpM1Lm0Pub5LKQxtIY0GOaeJV3klpu22UmSFqgKv9XILqyucChgTBKnEm4VXma96RZwf4thXMDoVM0YLD9TEXLjHrtIiDxSIziGvnkQXw8gIQplD80tleOuXLwOrr5E7w9fjLKwR4IR1d7Pnm1+Hjr/VsNlv67XO+3D3j8W7L9a7wxfOMFqFPX+c8BH4sRU4ULq93DJo5Sads+g2bFBFpUeH2kbYw41G4cfrotN4SPjJvB+T6eAaDYbulXL3k8umX3HzxQ3Y3LymWKaqoFkQCJxs4u+j51k98RH8W6c9GUgdfexh5sOn4+MGOR+kZZw9GPv7khPE6sDv1ao2T0PLUVrkfMn9b9fLG805eNWN+ER0BHZsBmrQw5fJ57b/bNoEFdmvX8fJCrTU+B2v1+xuTdpwTccDL3fJWl5vVwj+043e6yn0RO/p96fW/zh39ytIs3/FZJjWXW1/AXjm2ZepwF6K7eym3nH/V1vspDaQECYQQCMFBl4jd7vvJ/EuQAMF5qcmxnRSi7n2VpYK6Q07H1OjGAm0JVgFVqICIekzba2cPJ4S6v0qphkChgUMRJHikzpFJA18NkC3fWN30X2MWjuVO8PXsyTUG5L4ndIVvngkffa3nJD5ns3/C5e45N/sdTy9HvvfDPX085VsffpMH/Yavl8hFgS+3T7mxLX08odts6GI8IP5m8BVxYLVMwGdxnNXH+/r4db0vYAbDbst4fc31s8dcPfmc3faKQkFNMTWCGKkTLs47fuzHPmBzFtjrEyQoH3+YeP888eHZnvfCc9JF/v/Ye7MnSZLkzO+naubuEZFXXV1d3T2YngYwwA6wWBlZEcquCF/4X/A/5QNfKPvCB3JXhMIFQJnBNTPdM9NdZ15xuLuZKR/M/IjIquwaYEl0roSWREVmhIcfGeZmn36q+im+WhBPHf3C0YXITbubs6FHexA2ed8y+xlkJu0wvSyHL4xe12FgZZgM9pmBsvHBijKn0AcvawpD7od3LCeKHrIJsr8s3ZnHDk/8Iz2vo/3A7bD8/SNMPnLiH6vIR1qr8LNysJjI/vH3UhoHAGaHg/4PsNkJv290D9k0R3sAVmRBMvDSzHgNETvKvEchRWfz6yj5g2CS9qMAY6hPQfTAz0xjIZNNVVPj8bSwWSBF0gLS3O+VHHYUBM1iDvnDOhvz7wFfA5N3Z1yODjmzg3zY7gVfnzRLosA7VYIqr69e4X//j9T2koo3fHf1mu2rd1irPLIabw7fGxYj33WJNzHx7e2G9XbDk+2Oi66jjQEjlUtx5RT87Gfh/eALpgrIBliCOCASUs/Ly1tuXr/lzXbHOkQuEXbe07tIlJAX274ndD1d29EsFnz5/DmrhePFxRmnTY2LLde7Deu3b1i/fk1oI92mJxn05Q/9k+/9kx7th2BDAubeXT6b3ouPNWO62PP858TA+zzyPd5qNiMYc2AlxREaKg8nna8PLVhZkmV+brNwEQPbcHAOs5MZ8tDuVkAfodhDso/9tuwjJ/r3fXCUYyljdgo1zrIdD+iucayPhNf3HXvc09135knNdnhPffSVHO0HYt5ltYIMvHIe1/Q1ZhLEJOtsxTLBDhBGpaRfaB4LMe4D/smBFpwO82F2HlIKmEkBYwnVzGY5dTjnM+iyHPUgJpKR52BsPH7W5nKIyaxQqdwLBcDpkAv8gbE5I/KY1Bzu+Xvd9+aPTk6zQkMK3AC/ffU1rzfv0O4V2r+l3a3Z3F4jsuIT9ylOHE0bSQi/3iXaPvDN5Q0361v+9NmaL9odm9BhlhBxZBZreFYys/Uxd50AJ+VzRogdv379jpe/+5bLmzWbPvJalE3d0PqeqAmSkXYd7bZjt205P234yx//mE8erzivErUmrr99zavrK37z29/yq7/7DSEYbWeo9zSrU0SE/+kjzu5oPxybe9NzuCNAmi0MMmwwvCkHt88ssXifU7o7XucAbKyOLOKBWWx1CruPILHc4DIgwDFjOR3s+wORzolXhzvn9y9gJo72r2TvYVXvvPvP3fV++f04rvfQ/DwZfgaSJg/lX3QWd0v+Gar+DwvNjvZAzBdhUVXN0hIyjKI8TpLlFKBUwBCAK8nsbhxX+RNpqF6cuaE55DcJm2YzYmQUT00G3ivOKd5VVFU9Ml7RgC6SzAgxi68y7Lnkcul8z4OMBNkhnq8R490xY8jy01Tl+S+qdqwXDjGjbo06Gdb19OzQPqJBiH2F2gKjwlIk0tHubhAcTRB8SiytpZceSz1t6InJkJHlqhhDjjZb1mIsFQ8zd2hcNSXnjGkBarJAdcXZ2TP6JzvC7RaioutrAolIIGF5/xH6XeDq5TUuRL79+jXhZkE8SawqI767wl+tSVc7tleJbYhc9wlXwUoSoseE+4diE228zxZNCwmzm+kArBwAr/nPdnjTjXu8Z6Ww4RyGguTJg7rDy02ZqNwBTba/z3mwZn5O434G0HkkvR6WDWN2/sW97zuUD8Afec9o/AOQzMAwTDPyzGUZ829sXJQOkFv+7D3M2F1l/gICx8V6eFk+Pox6tH91cy4H5rSE6UYGyXI6RTIrDmhe3gUwnRzaPOVZmS8nADPkwqai3RVLIcaUl1+qFgUcWpgvnRL3RUAFTVmbHTN0AFbJyCpfxWZpH8PaMK4GAwAbTnB2b8g8u/9wfH/A7tf5Oq8JKXEad1gX6G43dCkgKSKpRtTjdEHE6GNHCh1xc4NH+FG1pEbYyS2VtkjccLPb0IZEZqwWwGk5+WEJSpAi7LYQYoarhXEY2Qh14BTqFaiB1njX8Ed/9DOeXjylsQXvmpe8uvkNLR0dPUESmKCdsL5s+c1ff82bk4rl+oYnFzV/9sJ4egJPbwOnu0T65obr30behMA3fYdfGBcxoe7oij0YG2/8Wdn7iLvyIqIyTAyzzw13/d5+5oG+g/jIgU2QZ/D5ZFzAct6C5eRSpirL4Qgyu3nHz9p7jj0e/z3sAaXEWxTRrG0WY/qD8oaO9sO2iYH959sA0PeKMkavfVSPOxg3c+Yrn8EIjsYTeh/ye8/x5/dY2cnda7IRgB3th29VleHECFFiDjWmOLQNKiE/y91vVHLykYnN5usJ7udk+QLWUsYGIoLFzFQ51ZIQrxMjJuAcpaWRjg6qiEccVGKlojyREoTQ530P60B5b8RXHDjX82E7e54PUUEKyrvf7gVf0RLRDE+GSzEkUgxYgpQyCBLvCER66zNNJxEVYeUDS1EeLfNFLy7OaR4/Zbk8A6kgCcQufymhw1LE+h0WA+nqFuv6DL5SKv3IMnoVdYh3sFjk371h1lPLAprHXDz6DEkNz64jlx206RVvbm6JyYgWkWiEndABb17fEnYVn9Qe3ytnHUiAyjzLasFSe2oRtKow0UKFHu0hWXZe7IBRgr2sqhlzvJdQvMeXvS/WN/tZDt8qB7OijH9AW8nB1gc59eMENp3fBMLKssdB1treZVK8RRvntePYfSg2Z3v2Wde7r92/n/d/58IYaCg5hvnVIbdlCJ1AycWZHWzK0yojcGCnZme4n4h8/5mObeeODNd/RzYBqTQwXslG4DU8I5Ak60vIHHzbbF6zPPcOSfkigi+gy7uh16LLzrTLDrVzgnPFAZVJScEMQukfqUlJGOqUSD6nWFivoYvDfN4c5HomR8PG8x6He2GBDfJ8/j1T7r3g66rtsGQskuBx2C5gbWBnFZ3VWOVItSfQseUar3C+iqyc8cVp5JGD80fnbKg5/6ufc/In/54vnv0Y4Qzrd6Sb18T2lt3b3xDbDe2b74jbLbtvXhJvt2iIaIyo9zhfGC+vSFWjp2dIVeNWZ7jFktMffcX56aec/ewrQko8+eqf+JPXv+Vv/vr/wLmX3Fz3vPy2xXoHccl2nfib6++oK4Wbx3z+ZMnJasmTpubRYsGffvGIixSQ0NIL7Py/zNM82v+/NjDOcVYxZsNNPqwWc3Z5xmhJ+kBpdH6X+aeGnwZ9mfHdw5VkYNAst9vIgMtm2xqlwzeUyp5Z4ti0j3FRthlbJmOVZJrp3OR8sQPa72gPxobF6BBsHc5D7/tmP/RtC2SndS8slLfWMv72VLwPwNcYJCpjVjQ/W5pr2H34GoYFFOZA7j0XdbQHZyllYeth7A15VTFEYohZMCrlIF8sCvQWEyqCZ7/MbpKJE3wJJVbe4URZuAqnSuWrzHr5DMKcz8n43ilVabBd+QozISUhJaPrOmKKdAoxBXZRCBbZdD27PpEYpC6GE5ncZhkcFJtaxg1OwxiOtCKHod8/oO8FXwPyc0hGciESu0TA0UEGQ1IRicSUF4RkgYRgDqiVVX1OXZ1w8fgJJ48esWwaiAFrt8TbS+Luhnj1lthuiJdvibsd8eaKeLsdFWfxHvEew0iSspp9v0V9DdstLFbYxXOQima1ol5UPHrylOAjn77+hM9fPOWtX7N9e0kfoA2JaIk2GF2fuF5HThaR6wquKiVWnsVpxSq0nHawTZE2dWO39aP98E1K6O597vQhMNr37AFmbSLm+8xvzX8b0gI4XD3GRHqbQooDM1X4hfkemCsvM3t9ouNnpzPkdo0I8ftkJY7A60HZ3hg7APXv2/49bOl73h4H3yEjNjFeOflZmW0zA1/TMM95t3uM6h2ya+LCJgA2bXQfK7e3G46M2EOxKUF9hOhjGDE7wAffqRQGzGyMKh2G+IQ8bF1hvLwolSpOFT9UVUrO7/KqqCvbIXlbyQ5FkhxsQyCWKFoywZzDmdC7SBcFS4cRBxjiDJRrysTXFHLfu0sHyms/hPJeuz/nyy0hGX2MhD6yu9nw7nrHbXXGbSUs65rT5SqnZrVKnyJvry/ZVMIvH5/zeHXBT3/2H3j6yY85/+QrTh59gm877N0v6F+9Yv13v8S2O+zymhQidB2SEgu/gkcnVIsFrq5ybFiV9vaGzdvX0G+R9TuwhHWB6Cqufvs79OSc05//W5ovPuOTZ4959KMXPHu24md/+inf/OIf+T//l//Ey8s1//nrKzYBYn2BUvGbdeDSbVkvTvjFquLF42d8cfEJF9eXfPHqd7zbrnn7+g1daVlztAdgMnjzQ/7Uvvrw/gJ3EAS0AoXKIjLIWk4hvvIZoQiwTu9kDZjBw88TUirFI6nQ2QO/5Rj4qZzwmSxXYOYm4MOxbWTpDjHeRHlPejbG0NdMUHWlBPsIvh6U/TcAG3d9hymkSGGfRq0iGRgvnV4fh/qM+ZqPy5Fp1TzGmTcyZvx5it/IB32AvbTKo6PwYC30PSOIJwMrg6wo71ye9ywzXz6VfK6YGbGYDJOZEj5Z92sQbK2dsqw8HmExtC+KJWRJTk2qncPhoAtY6EEd4hxSCCTMcDFilmhSwkRYNguiU2TnSa6l63p21uV1Ig5timZFUswBGLOQ+8w+PNT37F7wJTiMhCUhRQh9oOt6WulpJeAtkVQzgiw0XIwBUceuatgtTqmefMrp8z/i5OScVeWw3Y60fUO8fUW4egm7gNyGEupRVDy6qME7qpMVvmnGCSEayO0aDYL2GyT0yG4NJvTSwOaW5c3npN2K6vQTmtMVlT3n1P8Uue355uk5ISXUvcNixrMJZRMT9IFXMdEnOPE1nJzi+pbGeyqE0HaEGP6QsXi0f0W7Sx5M/ontufL5vX0n5bDFxIEfv8ceDDyWlbTEmQifDG3KZgmcwzZM4EtMxolqaAc0tkaaU3AfXJQPWLdhkR2fj/agbDb2DhkvMbvbN3FU7Wb/M+MiIIX1msJ9Y6LyuFgKIu494IsPgK/hiAkzHe+pOwuS7Z/TsOPDSs572a3jEH4QNrRGG4LWVih/Kfh+GBtaonMZiN1lw2Caw1QEVx6+PHIWl40AXzQhSVEDh2QgFyImGUANBSQALkVGLUQxRB3JOSrnqVwkupQT9W1K2RgiF+MvFAAm7Du2MxL4Q1GXud0Lvn59G0gpsb7e0u9a3sae3iVSv0a6lr4JXO88yVpC6nEirJZPOT095ac/+x958eJHfP7Zz3l0/hm6+x1x/bfsvv01m2/+DtsBKO7knOXzP0frE+yT51DXSKPgFK08UoTbBKi7ltV2g4Q1svsOttfYr35JWt9y9eoN/e6ad3/9v6K/qjj7i59z8sf/Btc84+ST/8AXf/mE/ygbXvzmG34T/xOv32347TujiyEjbxVeb6+4vOw4O7ng0yS0ptyiXPaR37+7pu26e/+YR/vhWLKhoTaz51LddYC9hptlyjmYAiXzkN7goA8tJ1TAFep7/3kCUcmMmNKYm5W3KVNByNVAXR/BckEIo2pzrgyyMW/rwJ2az1hjhvZ8wTaKZDNyR7T4aA/Kvjf+Nh+hesB6zYBXkRuXkrDsvEPQXH0rgoqbFsuDfQ+CwSMbPJb9Z3bXSlI1clBZO68e+ODZT67N7KyP9sBsnE8HEFJSL3SIEMzedCiWEgGDZLgi41A5NwIuHUKNKlQqVBiaDFLMeVzFqRYD1KEhgSRCFwm7QABSiUo4KaqOgxJ+uSdcXeNEWVU1Jg6vHkEJMdK1PQmb6YENDvIQSxlkVw7+DnZYUPV+u7+9UJdIMXLT9nRtT2eRpAZ9j4Se1Dd0/Y4kPZEEovjqlMXyEc+ef8mnL37C2dkLmvoxcf0r0vol/eXXbF/9PY5TKvccbSrqp5+jq8folz9BFsssYO9m32KxKqX8xws3sPsddvOW1N8QLt8il69I2w39q9+R3rQ0z85ZPnuEPnmCX33O2fOWH8mfEhbKJ89OiDHy8loIKeV2AiJsQovt4Db0bE3oDDqEXTJuty27I/h6MDbPghohiR2+Nmw5xfQPmQbb6+s4Zw9ANFfVqOQkTy0VOCqCpMx2ZeA1eH95m8q5LPprMU8OoVDn41HT4Vmwd5cfxpSGyWB2fTLuZ+qHdrSHYnMH4ZCl5aMqqaaFYQJfY7J7AWCqhenC7ZXsTwecDiTzczApbFWWgkgjwzpzBIa5+yD35e79NQCv/TGaj3y49dEeiu13GJkBMs0hPBUlRSGJZgZKGMOMThXHwHZBpYoXULOcx14EVa0kcZnmNAtLlpUYohFDHr+BmCMJEkvwsCSRqEPUjS2DanWESonJ6H1EEKJmpzgV9V9jqlwf7ocskyGTb1zou49p7nYv+PrbX73ELLFrbzELfHoiPH7kYOth51jXCy57l29kL5wtTvjzr/6Ep0+e8tmzP+PJ+VPc7hvC7d+z+/r/onv5SzA4+eRHuMWn1Gd/gasfoRdfIPUKVhVUMiXFHJpK5iv9EpbPQc+QrxS3ueVs+SXLm2vay/+HuHtJ9/odb/7z/87yyw2nNKiHk8f/jmefP+Mv/+INzz95i6u/5XbbsXou+BNFzlbIquHR6QkxrQm2o7Me8cLFo3OW4Rh2fCg2TduDjv1wmzE+74VpzCZRvgKyhvwwITMFlWoBV4YTsBQJ2w0xJfoQRxocyyr2lorUwyys6b1n2TSoOirXIKJU5vFa4cWTSETriPR5vyliBtGmWM6c5xiv8333eon/HLs8PkybUpX/EB6owBZhBriy5puook5R50r/PVdYrqzrfV+Iep90Naa+emW8j9W8+2NtLHy5c47D8/tGM/e8drQfqqk6EHCa86wYKhopY1koZeiKqUdIJOcQMaoSFaglVzQOAhGVCrWWKvWcK1QcCKWqqgygmiXiKlxdId7T+AXNMiIWUevBIhLbHFWIXXZ8U2Gouh4SqHesnMP5Cr8Q2j6gJoQY2fRtVtBP8y4nIIfjc1xQPm7c3gu+/un3b0Egug5xiedPGs4eVdRVReMrXmrFTe8wL+ArTpqn/NEX/5ZPnj7j6aMfcb5c0d/+I+H2a9rv/pbdN39P8+xHLD/9Cn/2Jc3zv0KqFSwfg/Pg/aQR8F4r8FIb8BXiA/LZCdJ1rKrPsPUt/uue7p2yefM7bn/zDyANy+cv0PMXLB//JRdPH/HVV7/n4vQV61vl5vYW/9ihC8U9PsGdLjmrKlLaElNLIIITTs5OaI4J9w/Gpmi97QGQsiZN1YMljLLPspZw40BrF4/Mq2PhHE4MRySmSGy3pBBotztSjKSQQ/WpCAxOIcN80Kqu4OQE72vcUnCuwrkGxOE151hGrAgXBxAjFsLXYCxvHi5vyi34AMCSYXH8b/jHPdr/pzYF4coX/JGT+Z6NLNcMeKlD1RUxyqICPjIT8uFj3Bk7huWifIaKNmAqZhn2VByYfVA3eBDDmLW7792Jrx8B2EMwnfd2hEyUpDQTuc7rt5UQeIIilGp4FCdCJQ7PlBNbCdSFRRvkfHKDbcXVNeo8brFCfTWqIrhacKaQekgtlnroFUuB2KXc6q20GaLvc9hTGirn8/7U4aWEHlXYhQ6TwmaNRNccek3s1/Dr3TXlrt0LvvougBrRG64Snn76mC+/OMN/1+NfBxq3wLlTglT0uuRp/YRPTp7xZHmO396S4i3rf/pH2jf/hG4ii+YF9flPqD79GW75AlaPwdXgKyh5Bx9nGT0jHuolaI0+FezsnDr+G9zJGaQlbuvgsuPqv/5X6udrzqofU3fGF1/8ERdnJ6Tdt6xvhOt+R5sCRsBSz4XzPFl4Nq0jeSV45cQp/XEFezg2flWy//vh87j9BLagTBDlphcFVUMJSAyk2JO6ltD39Os1KSWkN5yBJl8IgJRZt3FI54XJxUDargluxy5ERD2iW1CH8x5xinjF+xpTX0QII9HCxIS8b416X1h10Kg5DtuHaTaDHneo2g+ZTB6GSB5PqmOT4cx4TaBrhHoHC8ahKzJslMb8rlQKrGKp6J2nTs8/PDvx8f6aH/ODV3G0B2i56CiDeU1WwowlIKCKqQKa9ReNseLWIaXRoOVwIwP4UqohY18dTj2LxQrnK1bnj3BVTX1yhlYFRzhHpflhsSeFHRZ7YneLxUC3uSWFwOZmQ+gDm7an7yJCwFluxl07xdSxqGoGMVcAi8KUg8tskO7r4sm4dtxv3wO+ekwhroSqcjz77Cl/+tMXiL5Fu3ecuwUrd06bVtzGxzypn/Di7DkXqwVufUW83nD7y19w+80vefz8R5w8+oLq8U+pPv85+HPwz/jn32ZC7hewggpkeYakROMSdv05bq3U7wLrt1e8/fq/cPKTntWzf0/dNHz55R/Tt095zD+wuUr8429ecnkT2Emgt8BjD58sHdc7R++V5JVT547g6wGZvQd8TRITe/rx0/+5CxVD0vKwiKnmXGVNfQZfu5b+9pbQ93TrLWbgZZHDO2RHQsnJnyIJIVNXCcNCIPYbIkpwWxCHuAUinnq5wlc19ckpVbUo96+B9HRxg8x7kH3v9U8sxNEenu0H5OQuAHuvldyTWTWjag4zOufxzo8VZHm/dzMjsXI0OVQNK2yX5UcGXbm6fQBi4zkcnNLeYjUXe5odfZ6XfwReD9RmoW4npcWPAVbqt8WRRAlATIAZThTFCvDKoMtjVKWqsRahJjsQqKOuG84fP6Vuljx+/inVYsHi/AJXN5j3oI6mqmiqmhQ6Qrstz9fEvmd3c0nfdrx79ZZ2u2P3+h2x63EWsAhak+8Tha7O4Kty2aGO9Ac+/eFY37/vvs/uBV/ee8QJzbJisfS4aLTrHXQtpJ5NalmHLW55xrPnX/L46QWnF6csGrDLV8TtJfG6J+1q4DGy+BzqZ+DOMWpSaDM1aeVEywlbaVXkSlLcSJ+XxSgliHEqdxZy1FLEYHGCJNDzF/jHV5CM+PY74s2G/rvX6Pkp7otzcBWLJxVWeZpLTxUdvSZi6Oi2a64kcrtes+k7tn1P1wdCOIYdH4rtCUAOnNG4os1CHzJb5EqOVE5Czg1ic+VNj1okhZZdtyW2PX2fuz9o0yA46uoUlQrVJgOpWqi8YBYwC6QUSKkjpUAIG1IyQp9KxU7ALBF6R0wJ05poFeYU8w5JihdXstfSuGjuRaQM9jSZ7oR0jvagrKCR+debX59tY7NtD348BGCiQxXjlJ81iEYf+pRS5lotuY7YALoMSzlcY0OvvjQpgg+59UPS/nhaJWF5vN/2LmYfgL3fjuP4IdgwvpjPT0POn8h8CKClItCpoCZ4o+R5yd4YRgVxPjuliyX1YsnZoyfUzYLl2Tm+afCLJeqrAr4UcR5TB86jVZWDZNagoshiharHnfQ4rXG3HdoDGDEaEhKpC0SKEJVB4xxqRnJKSDabWXNG8RiAnFeef0S0/F7w1TQLvFc+uzjl7LSiaiM3r69It7eksOFN8LwONc/Ov+Crv/wfePzkhCefVdTxht3f/D3dq9/Sv9oSbk5I+mM4+ytk+WOonpNCR9+uIQkWKkChqgAjhGuwjrpeUVUNuApxyqAKkpKx21mhvyMqxupEcA44ewrLZ7jPeiScILuefvM3tK8v2f7in6hfPKP+48e4xYJza6g3Daubmo309LeBftty0625uTTaNnCzabnd7lhv2yP4ekB2uKDsRRuNWYIwIwCzcvN4URTHQhXvBGIHqWW7u2Vze0nsE30X8a7m7PQx3jecLD/BuQbnz1BXcXGxZLWqCGFLiDtS6ghxRww7uu07+rbj+u0lsQ/0fUtK0O8iyTxt73A7R7VoqFYVKo5GK5IF2hRy+XO5nhzVmYVWBezw4o/2IG0cs3fypt5v87DHlGCfhSZVtawLhsWQ58474b8SPiliqyg4caWyLOXq3NST0sB4DeHHmbNTcsd0BHvlSsRgLEDZO+ODqz3aQ7eccpFpEZuNCUNGB9hZ1vuqRFEx6pLn5SlVjWVfog71Nc3qjIunn7BcnfDsxWdUTUNzdo56T/K597I5V8KaEMtcKA40OpwmqEK+L/pAZQ2p7ai2CZ88ttsSurb0mI4kFdQrFcaprwkljNlH6FIi2oCxJgdJIEthaMl1/B70dX/YMeQ/Yt8ZfWvcXAfeAbJOaK/sIrQxYmoszzzNShHpsLgj7LaEzQ7vitxRRwAAIABJREFUTlgsz6hOnuBOHyHNIv/1rcfiGsxhSYsTFDESXXdFDGtSuiCGFdVilcvzSUBPVu3W7HWlSNJEsi4Hi+QUXAWrGnl0gjtrqJaC9z3aXiJdhaQWLCLVCq3PUN6gCSQaGrP2SLCsv9SFRIyGWkniO9rDsPfISozAa77Z8N8YtDdUDNWEkkubY+hJfUfsQ2ZcxVE1NVXVUK9OqHxDvVzhXI2rlqjWuKZCKo+6VLRpFI0gURDtcL4itIHQ9ciuJ4ZEH1zugWGRFDpSAOsFXEJcYiyTlhnYGum8/Swdma7uaA/N3qONdVdGhIkqGhgsGRTdikDlAIDmwM2Gli82MmtTuG+maWdZHy6VzyTLBSQpDY2Sh2rHWSTRhnObANjEMuehvXfutkfb/nP/Wkf7oVgqoGvI8zqsdC1TVc7YzvpfXnOUwVkeu1qkeQYT0TFvEVVMhEjG8poSEiMhGUmUVN4fmLVclZ5IoafrOkIIrNuOGCM7IIhivrBjocdiX4LrCQWSRRTDlxP3Ipgqwab4w36kYWppt//e++1e8HVz0+Gc0lQ9u1uobyNvGuEUYyU1twg30hN85NELOD0JxP4NafOW7ds3hHfXrE7/ivNnL1j9+C+ov/oKFg5oMbsiha/BFpB+BFLlEGHquLr6BbvtS+rqcyr/mEdPP+OiWQA7YI1ZRYwnhflqEToiL4Ee3OeYO8c9b3Dnz1hsz7n4XU1lW6rt3+E2N7D7EqoabV6grND4Hbp9h2sDvutpE6yTsesiN7tI7KBJ1TGH5gHbfUG4yfG3XPbsE06NKgZcTHS3N+w2a3Yx0PVCs1px/vhZzj84f4z3NU1zgbqaqjlFXYVqIkrWvnNSgUU0LXEWqO0U6wOnywtC2/Pu7Q1d27Hd9oQ+ElJHiD1iFWI1WjmqpS/JrHliCqPXZWVCO9Aqu7t+H+0B2X1M1whVDjS0sumolaSaK8iyyEqJFFgOF+bBkfZujGG/yVKG+U6Koxuzk5siIQ7MVywgLvdpSCP7OuT7KN57sjOTE/JDKP0gUx6ccidMfrSHbLGPhW1ypc/aQMrvj1Exywn1Iiwrn3O9UtHOCsAIwATxDldVUDmiQIex7rs8391mgNeaEc1yLhnkbjmWqCvHqvb0oeN2fU0fAtebLdEMV2R+wnKBSwl1hjojhZ7Yd7lFW4gYoKRMxjiPE6UnZhX9GMcYxNx/HwDY943pe8FXKsrcIRkhQW9Cb0pnEZcSvTOiyzL96kHUSKnHQs6PCtFYrE6pzp/gTk+RpilHnHvw+SaH/GVl9ipiEki5ZfcBPZ4XSB2oPTFEEokWpMXoMIuIF9zC41ae+qxGWyOub6FbE9sd1II0C5wkKmoaHJtoECIpQUgQYxpj1M3IvB3tIZjN/s92TyJw2W4qUok5TSV2pBRJMWAxoShVtaCuFjTNgqpqUJ+7MJjKdPcJubWFlBwXmTzBVBYqQxBXIV5QX6MRVBOiVkQEY1a4j+SExsK6qua7R8rCm9tbDBz7kAM20N7HJe0h2pwL+t7vb0q0YmC8hufpQWF859kqmR+VsREwe+/ZoFUnpTTfrDBeU47X/J7KRNas0ms8D/bOZY4X58TX3p16cC5HexiWCmgynRjRYV4aQ9rDo4DvrGQPamVOozC4Q59R1dyfUYRkiZgiXegLSysZfKUMvnostyC0hJiRkkOp6fuOXdfTh8CuDyQzKirGRvI+V5o774kWc+tBs/F8FEqLIyVqqeIsuONOr6+hmMW+X+X+XvCF7cAc0Rt9o1SPTzk5a4hv33L97pq2UfrqlKC572KIiW3fkXYd686I5nj0J19y8pN/izx7AssFSAR6VBdUi2cINepWOTgrkWTK6uIUXbaYnGFyitR1+RN4zGpUK05WHoggWRlp624IrOl5SmTJaWWI91TPT7n4s2fsfn/L5e9+j7jE6revcI8es/r8GY0kPtUnnOglXXvLzfWa3pQtQszi99ROeHTS4I5UwsO0GS6aktKL901ZiASckhejtCWlyGZ9i3UdKeRy6LOTc5Znj6ibhuXZWabAkxAtEeIGxFEnwzmPqx3OKzGFnCdjmdFKoSPubpFkuCgYnlifYCwgCNCCbbC0IyUlBAdaUcXsUVbicQXMJQMryc0jzT2/IHtP2OloD8PumWve/20WgFOYrxLMKZk0OV92ChFmcDSGKHU4ZAlFhkiKKTsJRsn1CqQUR4cUhsXRjffUoFw+76U3JN6ICqq5AjilHLQZEvHvRhSOwOshWt+HPO1gmXX1iroib108ALE8x4rl0J5X8CI5hDgwHQbqs+ZWVddUTQUO2rCjI7K9MlBHVI+J0FvO8co8VMk0s0TtPZumJsbIZrcjpMht12MITcrs8MIJvqlorKF2RrczdtYiSbCQZSWcOCJQkVX0nVOcpFyxSWRy3iUn/GP33r+D3Qu+TipBnbJoPItFha8dWikdRht6+ioXX+YYaH7EmL2jkMhU9GqJnp9CU5dqxqKTIR7VBSIVWkqgKUjS1zWeBUlqjApxnmn5dIgoOrBlQmG+egJ9pgQlEcUwFG081dmC9u2WPrRI19G3PXQJsQWiUGtDIxWSIPaBJB4RjwNQoXawqA09gq8HZHdzZMbO9EO+iUyJkZNXlpmnlGLO9Qo9kjyCp3IVi3qJr2q8epIZfYzZIyvttUwE9Z5KKjw+L1xl8QoxEkNuTk+CmgoSJPGYy1U96kIRGs7FJZllULCEmE6VmOWa0oxFuJtGM7veoz0Ym1rufI/Jocb2xHwNiffDc2ZIJwCWNxOmJuzAkChthfmyPB9bSgeMF3tMm4iUmMAwHw/ezqC0X3iPAZQJiA0ZZvtXeRypD9cG5iulHNLWIb9wKOAYgde0mmshSbWApuwXlzZDzuFc7sqQx3ousLO+w0SJGkkIASn4YwBfqSjiJ1Ryi7cQQs4NSzbuZxhrA1B05tBeS1Rtmkbz70MxStk/c4Z3GLfzDir/QvD1P//sS/CO+sefIydLrm5es92+5fXtW95cXxKSo6vOeRQiG83l8FV0EJQUIYbikavNUhNKQanzqDSF+qvKZUZEHCfLpyzqJaJPETml8qtyeRUijumrM6DH6AgEOgI7EgFYlndZrpBnz7F3Ri/fongSC0xOoP4E8Y6uecymOeNdD9/ebDk9f8KPz59mXTcPMUV2fTeWZh/t4dh+8mZ5hj1ZifFmKR5535Xkyy5Bb1SuwvsFtVtQa40lod3saPuO15eXhBTJxcl5rKOwPDunWixZLhYsFktiTIQ+0nU9tzcdWGbaFKXWCudrqhOhXi7hJgEdKQb6rs2LZ8z3kCd7e1Fy1WNExv5iiUImDNVxpuP8cFzUHpYVX5r3QbDDkOTEOCkibnxm/HkYI2Rma+g36gpLVbqKhGikGIlWwowxQiypxUND4gL7hybcWpp0T42TSxuvYcGV0hWOLNuSxtDk5CyMz8MFykwC9jjlPhiLQwcYyYAGjTjJYwEojiOZnVXLMhOU5PiUC5MGUNPUFdViSb1YsFguiQI9OcLWdi0JIaJFDHtqCK8w6rWn2LNrB6Y2hzhXvsIAZ4bGQC1Qq1JXFbWDGDukLUxxEBBFvM/j28KYj6bFCd6DXoOzAR9F294Lvn765Awqjz47x1YL/n77itt+x7ZvuS4K3yEmNmYE0bwQmGJJSKmERYZzK57QhBEd4urZ0TIjJqZUfpl76OkK1SVQlW0GKbbBjIFzG/5FjFDS4Aww52GxgrohSabgc/2CR9wSnCe6huhqdknY9pEzHKfVEucMXxu7FNn5ySM92gOzOQCb+yjjy4UqJmFDrl9MEA1JIE7x6nHqceJzmDEE+q5nt93Qx0BPh5HKs9HTU4cT4AznhRiMvje6PtB2mUFwmlAVXKWIOqqqxuHwu4reaW4plNLYJzJX8AgmWs44VwylAiLzgjwPpcp4+Ufw9XDsY+aZnBZVthvn1TkbNTTJnpYHm314YBiGx9CnMc2eD2HeXp6XzI8zLDpjPe409ubhxzE0OtVVHpC0+5/Yp/WO9gO3YdzmbgeQSt7UnCwdvv3MuM4YsLKtljHinaPynqry+MojUKRNslOQDIZW2TnyPTmag1NtKYfMB2cAEfzgdJeKRieUohTFqc9VlXOPVWb7HsbwcMH3zKtTY/EP2/05X2f5ZBbhFjZb9PKG9GYNnUPqR0hzgTVnWL0iaa5GCG0PbY/F3GF81FP6XiiYmS1wOHmSu5BLg5TX7v9c1sjNj6F3ef5c6k7pr87oN6ckWQE11nWZuky5fF+9oHXuFeXqFYmGtqsQ7XGxZWuRK8vcxtEeiMl80p9snApECovKmDSp6kADqfOYJZIpJEFdQ1WfUFUrfLWEFAjBaOoln372GSaJVHUkAre7t/RhR7Au5xhserpug5nHUoVSc7Z6gpL7hwGkELOsxKJBPLh+hWeLrQ12GyxGUhcQc7gmUwnDvzKTzKYFm4QMVd7zFzjaD93+YCdvjCXmR+7BXubcAoryIjJLwMfo+x7KImgYIfRZSiINn//A+JmBtkFPbNhyCmvK3nEH4GWHCcrM4Z3svXYcuA/TsgivIbFUCxbHUDXnCCqOGo9XwYnHkVu3KZalJ1RY1I5mUbE4WbI4OycCvUEbImGzJSTLunGQiRopXUkMcA6cK5GB8mIOSJT8M/CSx2yNUCG4IRzqfGnrlgVU820US4QhAinnP8aIpQCWZoPVxvDkx9i94MuaXGXg4y5XY2122G0H0SFVBX4F1RJck/s2YaQQoY+5Cea9k8j73vM5pjosijNv7vttYLWGaKsDalLfwGZB6hYYTb7kECD0OY8Gy0mBPufqqK9JVPS9RzQQUmBHZEMkHMHXg7H9PKdhTEwJvrrHxOaFRF2+l8ZxZCXWrx5fNThfo64m37YdvvIsTk/AgTQ7kvS46zW7LnCzifRdT+oifdeCNQgrmqribHGKU08FWDLW/SZT9uqhUqSpcanJVbnkiczCUHk2XlK5K2z/95JLMyy0kx3H7kOyj/m2JvZoaPo7g0yzaXN4NXvwg8SDZYZ3FryMMZacmGGvwzszL/4gf3CvlcreSR86P7PPjf643Nl67zdhjzk52g/cytgYVAlSSiBCjLEw9g4RcKLlUcZkYbwUwWl+VN7R1J6mqVksF0RyuyG6gOt7LCZS0SH1LheZWCkQQXObIZgxuJJz0Hw5zYocOvRlv4oi5sh5uzmcmUbid9ZTRCxXog/Aa+xJl1M/BqHuvLzcj1vuBV9/3Rs1iT/vOs4sctK1PCNwA7wT0Erxy4ZFU5eGrYY6xZyi4oEKSR6ih/QhgdIIbJnuSAEWs1O77wKmxTN3Qc+9oQzIzVh6pA7oWcItE+oConHK8utCzr3ZdNTrjqU4TpYL2rDjm7e/ow1b1rtrdhjvSEehiYdkcjDZl+fhNkpGKSUuXrlNYfJgheLOpV65MbF31LVnuajYdT2btqPvAldvO8wZusqe0dXtjrbrCOYwrXDkUKVFwWLEK5ytmtzTrO+IMbBOa2LsadOCkDxRIskL4jP97lSQcnJS6lVUBESR0tA4l13P17/vF/k72g/URP4g0GGjyzl7zNVPS1KVHTwmS+OCOY6gvJaw58ePi4rifZVD5kUGwPbaDE2J0/uxmY9xpGU41EfFS472w7ERZg8MK4w5hill1XgTsixPVec81QRYbuMzaL+pU6ra0ywalqslJycndNFIXUCdlRBiYXgtM23TwTW3H0xGtEiXIiKG07y90yHwWT5LSXiSwso5h2rOlRzuCSu5wDlUmcAipABpcuun6MMUdfi+kX4v+Prb3lha4rN2yzL0nHQdEHglQiWK9wqLBU1T4VQRSTmJ0w2Jnz5XisVJp+iuBeAWGFr3KFBz9yb98KXkwGNGsH4EY7kE1FURPTXcIqEaUUmlmgzoe0gJv+moNj0LUVbLBd+9u+X37264ut3w3bsrejM2DPkMR3sYJvs/2ihJWh5WbvZ884zNq6zcuImRvRUVnFPqOlf9xiSYtXTdjjfrNyQF3y8whev1jr7vqBYrfFUh6nGlL2MIEefgdFXn3INNS28R0oYYdrQxIalCNCAOcJq9OiTnnqVpQRWmikebXVu+3oECny1d3+OFHe0HZkMW+kea7f20/1sZDTPgxb7G1uz1aWcD+prCjwNDLEVAVTVXpEEuSko2azVk0/ZDGPQ9EPHwosv/U7jzyHs9LJPCKEkWJCygv4SyTbP+oVOkqjATYpcLldTIYEYy81XXFc2iZrFcsjo5QbtAG3dozFXlFDJkmtONodgjpqxN2qdEF3tUrPQtIrNizMagFWa3hDtVJ/AFeQ0wyeKxSkIlISmLDk+jtTDLZccyOMffY/eCr6cXFyxSZHGdqERYLBrMIs3W8DGARYREZbk7udMcwjMFtQ7iFrm5gbdXUAssqwINJ28oxUTsNpgN8VOHb85R1zD+lfJfobS4iJmqVFcWTgVxVHgyaHNEcqaYEqFdY5evsPUNFh0mDazOYXUKErHUs7255vbNW26vbliv19ysb7naXHO967ltI8GEbsK4R3sAtpeLPNhsQRuXk3GR4M6qkJPyc03LqFMjhqrhPXjLavi9JbrdNntW5hC3wGuNE1eUlvIElFNyIlhfzqBHJbBaOLSqSY2SqizXksWFcwFJpsUzs+sYqtoyBS6W6fqJ9bJpUhjDTkd7uDZ8ex8JnucMVgHqNn+890MD2zSEjQbGbHbcMbFepjDj8OlSMelwkFJW/x7PopSAjCRzAXBjgUg57XkumOSEbBuR3NEegumQvjH2BtWCv6cEiVgS63vL/R3dMFTJgqkl2EAIiT7ELM+Tio68upJj6BA1pFSYp9GRHoZsHo8qisONc/Y+HhohG8nIbJmRdRlzpdM4/Ie5f6xwlDwfW3GAZYZnykfGJP377F7w9eNPn1PHyEnsqQVOT1fUtXKSNjTtDiGABWqMShXvDFcJVhlqG+hvkDdvoHkJqwrOV7m+3k1nlWJgd3OJxS4vUOJZPn6WhVfHpAUDS1joCX2LOo+vF+VKc7CxoaHCaKhIOBoCSsA2V8TvfkN6t4Peg6zg4hM4fwSux7oNt69f8vab3/Nufcnb3ZrX11e8vLritoU32yGWfOzr+JBspIxtH4ANGl/7RcKMXktGMaV0fizfnzReIKLOaBpIYjQ+QgisbzdEg8XJGb6ui/K9olao6rIMqfVI6go51eI0cnZWsUTZ1krvYNdHegsEy3mGrpyhZ2j6raWc2lA099wbF91yPTrlfFk6Bswflh2GBd9vc/AyfG4PbR28dfflYVEcHEsdf7NZksVQATaW2OuUtD/k3jt1mdVAcoWZUKomBwdnOmKWvjhcmWZsXQkHHYHXwzKdg3PNelnMxksC+tItQShyD4VxrUr8KhmkmKvCXdtRdYEuRoIBziGuQl1VCNnsxOYm8SmHBUsDeRXFG0XmygprNbFkmfWa2OCQqblSdBIyFinje5RKQYsTXARXhrD84PjK9Hdw+v144V7w5bXHpQgeYiXsRNmaEKsKtzT8oqaqKxpV+m0kVgnvBWpoFom46IndW9qbb/H9BZ6nHCx3iDjUnWBS55uthCv3rUwqg6Q/k3YHODCPyqIsNhVqDi1CaKE3unUihoZqeYpbfUrdnKG+5nb9HWF7ybuw4VJys00zxZtjaY5kcGoQTNjZkQJ/SDboEo1k1yEAg+KNT1TXni6RlFu09MEbwzIFnFlSMIfTGu+UZZ1HXF1VOJ8Vka3o1iguL6aJTAsPAUNTLKXcwN0ivQjBsmp+Msmenq8QPKqljVHx9HSYQmx2/mV4DrkQ+RI/biE/2g/LPi7quA+/Big1fvfFyZgkvvIPqaCwjNcnOmyYUw0jmZTQSd6r7jFWM3HWcrAxnMmcgZjddsM9xAfpt307jtkHZ2NrKShK9jmhXgsTlUH8fnHGoE7AkMdVmK8Ys5xPjKV4rxRCwSRxQhl+sUQVoOTGqs/hblKptMzjPRWQJUMkgkFqgjEvzVKAFDPztRc1mbPHs4Ete0/5mso99n1ZX/eCr4obvCTiMtGp8matXCZls1pSr044eXzBo0ennPma7ZuOemUsLhSPYk97QtrSrn9B173j7I/P8fJF+XIm6QjRhnr1RWa2jIyU/XL/cgYvS1POhykJnvkuz/lh3j0GejwnQFNUdI1urVy+MqR7yunzv8A/f87J+RcE3/KrX/3f3Fx+zT+0L3nnI1eiJGpWLHhBz8YiS+vZmPCtZUHLoz0MG8BXHlIyjq0xERTKmBNEIkLxVsRwziAawXIz4fwwUhRScqToiMFDqqn1FK+J1bJw0T579eu2p+0D4iqc1vl8YsyVwqnKnmCsCL1xddmxDS12sYLGE4IQ8Yhr8MuUC7N1iagjUiYay2xaSnHUshlBXbn+OOKy40L2EO3DAOxwHpqLkhrZOZ2xYENCfMoVaDHmsTNCt3HTUgWZZlFCGNmMMew4/j6wW3m/aZY3NoRm8tQ9OC9Fs254/ri/Asfx+zBMdPjG80NwJS9QUa9jZawUWYj8KOFGcZgIwQyLRtsFbNuybHtSn5MvhJJLrg7RhInm1IwYS//RgJngfIV3VS6UKmr1FlNxdHeYJVwKqBhVU1NVjtR3EAKp22Ghg5KoDxk4Glm/bAiBDgVO09gcxmkJnca0H3J5j90LvrrNlpiM623Lru246nquQyQ0DVXT0DSepTcqWuLuDdE71ClaL6hOL2C7o2sjaXdDuF0TbzbIYoksqwk4iqDO5zliZCgmccDx4oorJTr0KxsmppINY015PWfWSR8htKQ2ELqU1ffPT/GnK1ytRDWC7uh1B6cefbygSbkzug8NyxBZSA89aDRcl471jg/I9srw57HH4Web9LAorYGGTVTANDd8TZIXrRhzv7sYEzFmhhRzqNaIJLRSUCNr3efFL6XMUuXFCbDc+aFte4IIFowQIeEwPGo5qyuVKiBLhsWESCJpQnGMOk1zqnu8b2x6cfD4OJIID83yV/rPc/Sm4W1TztQeCzoAtPKKzT9ro5OST2RaLEV0b0bOzs0gccEozjpFJPZZr+Exz+MSPjw25y9/vHLS0f5VbQY2cgJ8eW1kTSdoNozLcaSUbWyYL2MkhvywEHOYWh1iFGWFnP+lprlXqOiM5S8pHhhOtQw9hwFxPo5tUgUVS4X1StN4HbfLrYtistHBGEXcx8l3Cq/IeF/dP/HeC76++/XvsZj45t2a1PZcd4FdTJz/6Izzz57zaLHg2XLDKd/Qvv3f6NIT5Cc/p1ouWX31H4nnb/n2b/6O9atvqf7ha3x8RvXFC6qvTmaKZ4r65oNfIsOXg0Oc4NRjJqQw/GWyNofyCDAkLcA8vF0j774lvnxHe9vjnjhOf/oE9/gUf96RZEu6aEk+cP7vnlGvH3P26zd0L29Y3pyxvIlcXm34/bfv+O225bevrzKaPdqDsHHYm+2xXfMbL6VUwif5BnQFgDWVklBan1tkxdjTbls21Q5Xt4QYSanGxOPrCnFQn4BJ4mbzmr7f0YVEG4yQhN4UkiLRs9smvvn9O9SVamEguTMqbywrj3fKJm3YdYndtmVzs8a7gC0qqhoqv8pyLjqEcEry/eC86OCnFCrf7Jjz9d+dHUzqMoT0QArotxRLIrIbHYH8ycJAWXYqwMb+DsNDysLmnMOrL8yXYJayuCQlR2YWvR8/u6d4T2ZoS5eGVBgKm4Gx917PEWw9SBu+xaENn5rNHIkphJ2z20NOyFCXFeZTbhEUYy6sa9uOaNCtNnTrNfgGaRyK4H2FiVKnBSFGcFkc2EIkpkHNILcvarwbG82bJVrnc5/dNoMtFfAYFgO0LfQdEgYNr3xfZNkKo4uJLkV6y+KtyazIsUwxh8GhiB8x594LvlJRqu+CESMEUcwJ3juWtadxUNOhaU3YvaTvcjVD1BpdPMZWgCgpdMT1mvTuinRxDm3AvEJTuiMdVAvsmYz/ZWZLZPi7lJtXy9deLiUkiB1st9jtGtsFLDlwHl15dKGItEjaIdahFvAVNEslVBBdVrwXr2jlcLXHhYg6PU4JD9FmQH7PE2dajIalZ+4JqeQ8F9PMkuVG2zG31CrhyrJlCdUYJkaIiRBiVsdHUfU4fM59sNwgvu26XK5PlavESnKqQ/AGLhoSUu6rFxPo5GdNrNeeuES+lrupCJP3ebQHY3eT4j/kQU+Lmw1cWXHADzW9BsC1v/PpHphPwFKkAlSKev0ApmYVifsyJsOeSrhpzBWz2bazY78PeO092Xge01Ue7YduY8XqHJSPbCcj4DfVIuEwyw8c9LeKXlxKiRhCnm+7DjFFqsxKqThUwfkKtAiippgbeKeE+3/Ze5MY2bY1v+v3rbX2johsTnPvuc17t9571atwVWHTCAwSspBFP0H2xAMMNUICMQCBEQODGMCAER6Ah8AAgTDINhIDM0EImQEGLKqgJKrq1Wvqvduce5o8mRnd3qv5GKy19t4RmSfPfVTVOyev9v/ePJEZsZsVEav5f/+vWWJycpKztM6VTbqbsqMNxBiQ1KNRsKYoVanMtYPyxeBISGTyleoG84xjblCakeK5++p99U7y9RENag3xo/dJpgHJpSXOzxrOpcfFDe3WI8HyKj4lhCuevvj7OV0+5MHJx1geYpb/D84GePZj4jWYviPICvP4FPMz75WCp1+lqSNzFgHr6tdbX7aQIuHZj0lXr+DzH8OzL9HrPY37Jq59D04t2A59+T2ke8Xpjz6H9ZfoJtL1iS8//5JnX1yyXsP1FfTRsG0arpYCD85xcfbf3BdYV3MEq+pV3B7DEVnzzr2qxAPsetCE8Vl+bqzDNYAGfL9mvzeIkzzgrcXHyGW3I2qgf7UjaaQLG6IG2pNHrM5OeHzygEcnD9AukHY9m73n6cVVtpykxTrL+2cntM7i0h67C7BZk67XmBBoraNtWlarFts4xClIKupbypNCnSsmc5+ipYjszL3uK0bScRSCceM1k2x7AAAgAElEQVTAkbIoefFIsS52iSQ1I2xUuwSdcKk8SqzJaqkt9emMsVkNpoio5ToU9WziN8LIJCNy6iisSlzZrLsqX0Pw/eRdzbPr/cag9RSXW0ylFITmYHah7KNoIjhFjMsCjJFc11DI2xIS6f0eCbC+amispTk5Z2Ucah2LRUMjLQ2rXCS1zOsx5lpzkiISIwvXcNouca5htczVE0IMxBhYXz3D93tke4n0u+zi7PscX5ZAk2TFC+hSIKjSx4ivcy43CdjgzpMa/3Y37iRfSwwYSzo5g2aBMxEryqkLnEquVyRxS8TQ245u94Dtbo/IKWduhV04bNvgGkH8ltS/IF1dkF5dQWMwIaFWwDGmI9/qcjz4VhkNKxmfTUBU0u6aeP0Cri9zjTGvWPcA05xAY1AJ6PYVurvAXG0w6x2yDdBH+vWWzXbLyw0830I0LcGesjMWmgZj5+nhvqB2/txVtJYxPiBgxzEIqWa5KIiWrS+shaSkFIjRE0KH2Fxgsm7R4lNiHwOJgNesQSxtQ9MuWa5OODs7I7meqJL3JJNYLKpYFraUldXgIfRo6FEfkFTr52UXpbElyLm4mSZ62OEwORpCb9rmYsa7h7vVntvmocrA80qQs2tTCWaui0Q2QIYIFTkkd1XlqpW+hTHWK8c/5nPGu8tgwAxxPUxiewaBa6LAwVcnXsNAnefd+4FDI6EqWBVm8nKSSELG2MHqu5N6bkKT4vuebrdDbUPjPYhgzSLHfVlX+nY+P5Vkjhwr4lnYhlW7pHEtJ6tTILsDY/TEfoMT8LvrbBzERIpF2RrCvoSkiZCq8qUD0RuJV6mxqDUWt+YCmxvz8DHuJF/2dIV1jkcfP2FxcsqJVVqjLPpXtP6Srktst3s67/De4FPHF7/3KacPPO//8q9x8nDJo1/5RU4fK/5Hz9k/+13iyz3x99a4l99B90vkwQL3nVNo5Cc00atOnSB4wrMvSNtrwme/Tbr8gnDZEzqPefTzPH7yJ2jeE9xjCNevuPjtv8Pm1Uu+/7ufc7XZ8LwPbGLi8xd7Xq4jr/bKxU5JxhBsICk0zQo322b3Bu6gK+WMldHJWMMxGRaWvMO9y2qRNxAjsWwOHykpyN5CZ2gXJ7SrE0zT8OTkPA8+l1CTSBJQEnaxwjQtp02LtY5maTCNY3F+wurBSQ7EL3E0YbcmdWs2V1fE/Y79viNERaxlsViwWC5YLBuMs0iTe35Ug1EFacj0cqRiMA4lI1IW0hn3C4euwLuOOvi7kq5SiChp3dD6iO7IZO/PEutoXZOz02ows4y6cS5UKaiz2VCZRPMM7TxQvWpcV8yxXiXD8SDY/o/oM5jxbsDWqvBVFypF3oaYwxpCZDRvim0CG404MURrcVL2aTQOigtw13f4Fy9odz3bZFicnvJodYJzDcvTB3lOHIq65n4qKWI04YxlYZss0iRLSol9v0N8pA0RCZH9dst+fU2/2RJ2HX1U+pD33dmTC6/2Sla+UiJoKjUVodb0GbZ2E8mfgeTEwDfhbvLVNrim4fzBKSfn55xbWBpoNjuarbAJStKIJkECBAlcP78khSXJtpizc1YfPmHhrrh69Yzu2QvYNfDcQGywizXGK/rNZd6JfKLUjYr4ZPDp8A+jUzZCDKSrC+LVBenyKen6c3zX4INjtXzA6qNfxpxvMKunpOuO7dM/YP38BS8/veJy0/M0BtYp8XLjudorG5/YBSWZHPyH2OLGmieC+wJbzKwhtESyc0UHApYHSyZfJU/WVoKW0FJJWU1dPCIxZeXLNQ0iQuMa2uUZYi12aUr1vQSSibsaoakuncbQNpYFysnpsigBkRA9L/ev2Mc9fr9hv90SQ86OdM7gXItzDU1jEZvvkQATBTQnoIgxqEZ0IF9jzIxIjn2Y1a/7hYmmP+Ancs8NmYtjfNaQ9VsULI5+jM3Ey4gpe9NNY3jy6DEldd9MJutj0bXGno1xZiPx0qq8DT7PN72bN9dLmvFuwMi40c4wF1X1U3JpETWGFCsxN/ReiSI4aVFjSlF8M/A07wOd9/QqpHaV47pUcWI4WSzKHqN5frNOEJO3AbIkrFic2Fy0dZ8IKWBiTvywVenqe/x+j+97QgiECCEZApmAxfIYNNcTS0clUlSnhkRRf0t28JtwJ/l6/DMfZMWg2eBjR4gtQRzLJKzsKboQwqnJvtl9Vgj668+w2nH12fcxuyes2m/hPvqI5XaFLB6jlxu4+IL+lbLrFPv8nIV8gjlZ0T5+gmkX2JOHSNOCM4cShnqIO4ge/DYTr9Sh/Z5w/X3i+gqNDWq/QfPkfVz7iPbJt5H3Gmj2hP4HqP8RrX1JYy/ZhS2v9oHPdp5XPuJTJCShaRser0yuZfbgPazJX+K8gN0ftO52nXKgJibHbuWwlbwgGJMHvXNtVsBsC8Fny2i/ISXPdvuKED0qBtO0uNBhnGMhS2xjaZYtxuWdRRN1oVGiJjpNueK9RjRG/G5D6Hu6Vxd0ux2h7/MOW6bJE0fT0rRLXNvStCuMs5i2QQHjalp1sfqqGD7xJE23g5m77tcdI5mpqfBSFN6pyiQDmSmVyIuVnut32aF4ZbnShPaMiuoYUD8SuyGJRfN5Wva/S0Pxyrrgzt6DrzPG6acSsBLWXerD1crv1TWtxfUQiw2QrM3HWcUqxZuQyfv15QUheFbn5yxWKyRGmqYd9hltWosrWeTWGkLUvEWRj+w3HcF7dtfXBN+zvXqB73bsLtfsN/tczkJNrqhgDbEYCjEl9iWL0he3Y90DeIi1Le+5xukfPvt63Em+zj96D0iof4WPPUHPiGmBRVi4FUktgYbUe9qww5PYbZ9hUsf62ac4H2i/+cu0Z+/R9gGzbPA/+F38sx/g9xs2z19gXz3E21/CnT1Avv2LuJNzDC0s7cRJXJA8hDX4Hewv8t9xC/2euPkRYbtB0nuIeYh7/B3se9/APniEPHRo6kn9Z2j4nNa+wtlr9mHPuo88W/c87xMLZ2isoV06Tk4cDx+d8OHHj7J8KW+WEWe8O3DW3nBjHwwJW5QkGEoxGPIEsbANVgTbLJAYIHlS3LPf79ntd4QU8vYZbkGrEdu02FYRGuyqwdlsncWUkBoMmiIxBYwmFoS8Vdb1Jb7r6K+u6PddqQUmiHGIbbHNEuuWuKbBNUuss7hFg4pggpZK5fntiEw2cx2UjZGAzbiHeK04dOy0q67B7F4soY1DjONtzDuTqBLjZTPpGmp6TY47IGBlL9FpiOEYhF+JWFW4cvHflBIH5SVufZN3LFRz371nmEYEFs9CebSlyGo9rqqvCiQRokjxGJhcUgIhFwyO7H1gc31FjIGrl89Zrla0xtC0LYt2kTd4Xzhocpw5TUP0nn7f4TvP9mqTydfVFdH3bK8u8F3H/npDv++GrZHE2NxOzeUnokKfIiElQsqVPnOQf+3OMibxUsdAHYd39907ydfVZkeMgWcvPqfbb3icHnHCip9/sMKdL7nYez5fb7juPJ9d7rBt5P2PBLNMXFx9yr5f00fLyckrTqxh+d63kD5hkqDXnu75PoesrJ+h/TUxeVisSM+fIYtTzPkKUzfjRkl+Q9y9QjRgY5d9vEsLKM3jD7HnEUkfIHqGOXuMnC4JacPu+SvQP0Dic1hfYoC2bXj/kzPiI8OXrzpkH2G3g75nuWpZni754IMn/NIv/zwLYzhPB17RGe84lsu692f+p44DrdK4CGJNMdjHOBRBcJRifk2Ou1qenuSdFRwk7YFEv79G7J6QPMY6Ythgm4YUHtEu2qE2jNTra97EXVJkE/Yk79lfXRO8Z993hBRQmjz4mwXGndAulixWJzRt3tMMk7ceYhLYWaS1sv3L5AMYBIlpVtuM+4BRyYQizRb3xlGw+2swpJTo+MyUoI1X0GGBHLWs2684bYscPF1dSznYOZOtONmuRY8KsE5OfoM4oDAYLzPuAQ6+4GoI6tDLdPLSdE/ERA6EVxjqxznjsGIwjcFKrgVmQyb06/UlXbcjxYBrGtqmxRrLonU4Z2hcQ9M4og/0fUf0gW6zJYaI321JIdJtt8QQ6L0SksUWtSwZCAJBE30K2RsW45BVXiNrx/dYx5YcvO+vMuXeSb5eXG3o+47/+7s/5NXlBe/rE845x/zcxzxql3y+9vzOxZrLbc+nL7Y8OI88+TnBLRNfvvweog3ri56TxRO+/Uvf4vxbv4hbPsQ9+hD98hn79Huo7+DVZ6gq4emPiMahpx+i7Snt+w9wZycljibh9xv69SuMMbSuRRYt5sP3keWC5oNvYhZLxH4DzDlV59g//5TLL76H5XMa+Qy7vaRBWS4WfPxzn7AICy4uOtpdYP/5U/qXF6zOTjh5cMInn3zMr/+pX+VMhA96z5zseH+wPFkBo3g6WFwT8jUysqnpAhqARAlUT6zMGYsTwbiEpi3dPrDdbAED2zUYw+bKYZ2DbstyuSyydb1mVgJIPTH0dLs1MQT2210JRM0qnXULrG1wzQrXnrNYrlienGEdiMt1cVItbiljVlne83Tqnk8TmS+XGJjx9cHrtSK95UGHM6buwimmm8IMNziMbBkeD17SsWJ+0hxUH0tw/bSg6lDr6aipB0u1cKswNvfc+w45+KkxYdV9rSU8P2hCEriSodsYcLXQb2twRjB9T9LI1auXiAjry4vCBRqMtbQuZ4Zba7HGkmLEB58VrL7LBoGPOXu9xNX2AaJakLx3bpRIINAT6aOnjwlfyVeNFeZ1/VJuULG7cPf2Qus93ntMZ3FhQdOc4exDgj1hLY6Xveeziws2PVwFi8WRFi2xtVxfPCP1EeNb+vaKhxcrlqfnOF3QnHwT8+SUVWrB7zC7Cwg9sl6jUYmtkqwHdrmCbcmaSARC47C2JS7PscsV5vxjzHKJWZ4iTUOKkMKWXju89uziM7w8I/hX+P0e2XnM3tJ76JInqNC6xMkC0tKQlg51hh5h2/W8fHlBD9iuw6ry+Ct3uhlvE9VZMgSAanXLMAQh31hjpkWJZaIgWIuRlsXyBD17QOM8kvakqPhYApBjQjTQb9Zo303CW4p5pxE0EqPH96UiMzYHiLoGEUvTLjC2pSkb1ruFzcTLlpKqmglYYY9H8RV1zZyoFGVxTLetajPeYYzf1/FXN0T3qR555Ma+Pb2OHFjn9TwpfSN3+JRSzmYEyo7IBwV7a22vcURRu9dArPIeozqk+w8ZblPVa6Iw3wYpA3LurvcTUrwMo+pVn5fB45AxGgQ58SIXqTaSyzpAIhjFm7zuGwG1Btc2OYYwZtd2DD0JQWLMiSDGYKVs4i0GTdkYyBm3uXajlmD/GAVVIYqtBX9IgE+KJ+JjGl2Ng/EwCesY3sntVOurhHrcSb62T6+IMdJsF5z2htPTb3J68gH9ouWpafn+es9v/vAPCHJKbL+B6pLw4IzgEl+8+B12Fy9Zn33G6eIR4hx9f8bDjz7h/U++g/s48d6vxxzDtf4haXPJ9ru/Tdhu8EEI2tOZvLdiCV7JAdCnJ9jFOeb8Z+DknNUnv4BdLMFl96O/+JSwe8mL+JJX6RLxn4H7AWm7Jjy9Qvc9/qrFR+XKbNmx52TRIq2Bc0uKLV4sncKXl9f8/nd/n5MUudxtsar8whs/0hnvAmo6cK23osph0VGdkKtKXyZmTZXDQXHNAiOOM9fy4PSMbrNnba/pe8/V1YYU89YWENg+f14ucOTQmahQQRMYg10scjmJZS7psliscpD98pRmsUScBZeJV9Q4vI8cCjFumyTCUAopx1jke2mZOOK8Lda9xjEXmQhPo3h7IHdNla6bTKbWVkoRRLI9n1WIdJgFCRPClQeFYVS7gCH7Kxe4rEVUU6lUPh43RiMf1dOXSUjAa9/x7De/D5h6F/LjzWO0uqkLUatxq0ljPkEMwShiIkkMqSSAqLO0J0tSCPS7HRoToesg5WxJAUyJsU3FRVjnRiTnVuU75idisiiGaCzJWHwxyEOK9DHQx8A+hFLjKxWDQIcrTN+bTN5dds0LX4F73U2+mhSwKI9OT/ELODtdsVy1qDPsNRKFvLedsZgWsJHr3ZbeJnofy35iEcTThT3r7Y629/RFXjTagwZiEJQWOf8Qu+hoElgkW/nTT9C2iF1hmiVmtYLWsttfIz5vAJ5SZPPlp3Sbl7x0W17ZPWZ3jdlsiK/WhBdXaB/RXSQkuNZEh9I7TzQG5ywnpyv2KU9MIfVcby5RAU+aY2fuEYaU9kqEhn40bncxHlyHlY4WPZR4henfBmMbbKO0qwg2sAxSNt322d0S+rz4xInyxbhFixHBmbwBvVutsly+WGBdVr6czXELxigqOdg0SdkehmH9ypadkksC6Mi+plslVYstTuorzXj38cfzTU36fA2Slzw2qjJlJLt8pjXARtdljl9MR+Tr5jZGyvHwKjdlqni8ro033JMz7g3GuNPSdw6DA/N8WlT7PI9NzN9iSNSirDElQoqYWALh61xX3IpIIW5GMYPhqUi1M1URI0ObjK3Kb1arVLPSlURJkuNzYyzkK2UFLk28BlPDoJrVN4TmyTG89rURd5eaYIdYx3d+7lvYxSm9OcVLS7A7nvc7WFq++Y0neLH0Ftxix+/+wQ9xKItOaOSEdtWwOrWs+zW7l08Jp+e0769p3DXL/VNi59k+7zCm4f1v/2mWiwUnC5cz0XS6aAgYC9KQUocPl3T7LV/8+Dfpdns2F2v6XcezH36P9cULLj9+xPUH55jNM9z1U+LFS/rvfR+L42z1GKXhYpfwKrDqoIGzx2c8efyYl7stL7Zber3mR18+5/3Vio8/+BBj54zHe4OYyUoqgenWZvKjgzsu+/wBVGs1/InLLr8AKFFSUcFsrul1suRs+YgYE4vHPTFF+m5LTAG/3ZBCj+8CMURK+VZEbN7nsWlpV2fYpmF1dopxBmukTBTZlZQ0kQg5FiLq8D6gqnGClLIAggNTapUJZR/jbPhEVUKM7Pt+XtS+xjj8ZotidYvpXWg5krLyJbUgRekbJpWtUeRmaZLqohysk+H5ohKno9iuW8Wro8Cu4ybOXfRew5X1sZKuRAmXgANPQy4EPPgky9lFSRXBlLgvn5TORlwItMZw0jhMY1jJIpO14n4cUg9Ddi2m8lQuGGzyvpFGstchplw2oohDXgKRRBcindasxkBKiZAgad6/d3SLDCNsYkYU0/3Yxf6HyXY8XzSIbTg7P8EuT1mnBkl5yKJK2zgenpzQKayL9d33noSyxGJtAyhJAzH0aLejCz0xJawm0JDVAhUMFmlPMcsVppGyX7bmCWJISRUSFo0eTZGoHfv1C3abDVcvr9hv91xevmB9fcX1ecPmpMFse8w2EreRfp9wkoZ9Ib1XgoJpEkbAJqERg0UwqoQQ2PkdTYKL0x3tTL7uDaqPfhggWrRuncRPFWVqJCbHjyUmpvTDKORth5CyvZAgrkGSQbTFRINdeMRK3lhbAjoMXoOKAWuxbYttGkzbYm0pLCi5OGDW4Gvm2LidxUi+sgo8bHZsEqom2yklIF9TytmWKbsccxD0vLLdJ7z22yodejqvT7WkSrqGx+lBt91ExnUiq8WDXnx46LCC6o1LHD51qHAdJoLUht8iO8/4+kCLx4pxrh2er4e87tSUSMbkfWslMrq7sxoGYw27G9FW1bdY5nUxBmPtUEuMEoeoxpAke+4SSiIRNJZyQHneVD3MbKxlXCoOlK9JQ4Yth77CfHsn+fr7fulnUePoHn9MaJboZkPqOmxSVsny0D7g20vHxWbP7z99SVABLzhjOF2esFBPH/Zcrff09hnBnPHoo28iFlzTsDw9R9tEE0FsS9O2iAj7ywti6IZ4BFoHTUMfPLu+A90h4SW7q5e8/P7fZXN5yadfXLDZ96xlQd9aQrcjXhjitsevLXG7wsv7NGJo4gIrgnOCI7s4JUKz9li/xXQduo9cbzu+uLzmx6z5wXdfIAj/4r/9xs90xjsADXkCyFs65gGVsrkEJf9vlKDLOXWBGS6Sh1+KAdVQYsaUXLnGkhR8UdjUWrCGprE0qjR9T/IBHzzeB0JMdH3PwjhOVhZxhmAT0ZQtNaRMLprwsewjWQI+i9NneETK/ntisOT4sZhisfoiUVPec7JYeb0Ps9vx64CJWHBoWMuEdJkbBOzg/BtESSYXqq6ZybZB5V43u8/oxhnbcChkDEqylANNzX6UA9f/6903M+4TYvDAMLsSOc60LoRJJAfK39b3ICuzKRFNKZZqLNEKmmxRvCKSyvZFWjZ1h7w7gzWlZp3NNcNsLrZdq9PvJWcudgJRlD71xFS2DoqJmG3fST+dGjSlpbeMr8FsVzKZi39It+Nq2aLGwcJhG0fbQxMjKeb0UNc4Gk7ovOKwJX7AYMkSpFMF9YQY8XFPL1ti9DkKxhisa1GUZgkiDVI3Dk6BVMmXaN7nySkpdYS4Q9Iekzo0dpB2aNyR4pYUPbQOcQ1WFdsHOq+oN6To6FmgQF/aaI0iUqqbq0AfSFGJfSB2kX4f2WwjxMS6D0PA9ox3H8PkXuNaTNnVscS65EFSXuPQgh/Wj1QmkYNCkcUekixth5TraNXUaTEu7xpZ4qxEY3EFKpFElIQaRQ2UrWUn6lyZdFIkpJhVq0q+ZEK+hpgKJSaDVIJYKorHshmsD+XvGH+Kn/yMPxJMSM30YXj2aCGoJngtqnsr8aqPR9cer3HoAipXZFTCptc8vP6UCNaHMcFFC4kbCdtQAX0SU3PDsTMzsnuG0Yqd/ldfmeY7AhP5aMzXHhI5VHP/SUOgBb5eI8Q8BadUyFfZXkhytqORGuuVPRRJlUgu4hokV9PPj5JjvTRvI5hqvKJO14M6lg5NhOmYuWE8KF8pPvxO8vV/fvYpzlm+FROnyxUf0/HEeS5S5CpFfDKsk2OrS7w8RI1w4hY0VmlTR6uJRnK12LDdkHbP0O01JkWsaWgWT5CF0rQREcE0ESGyfOhIaYmIByKYHNy8SJHlSUKwCKekR44H5/8oYb/nTzx/Tr/d8/LLK7brjn6n+C5xaRwvmjOe7+B39teoUTbO4JzyuN3TSMLtFOOV7cYjXeDLkHgalHVK7EJD8oF43c/qwT1CH/JUnlJWulZLi7GWGCMh+ENSUqp6i8kVj6pLMqVI3YNRNatSNVMMAmjeeDVfIy8WHXmLx36/JfZ7fPD0sSdGxSsQDbt+g4kOvC21uqSM9oRoJl9DpqLWXdIOLcS6GbLvSjB/jU+r6dElaFRL5s+M+4UbItUBjhexGgMowz534089pG6wfXyV1/kjqcIXAGaqhsEdq0s1Dso+jjJqtnkcKYTi9q/7s9zxLmf+dX/gittPTaFZKWcdpcFoHYm8ZBMVqVXmivFqTK00L2CKWzBFYoIQY84rqglEWoxsydc2KeV9SSVXqXfW0mrCGINxhmQM0TTEZOmBECJ9LJ6C6mYs82UmYaNudzyeyrPltfKPVOW57i18d++9k3x9sV2zsI5vnK2xkjhpAmITe42sU0LV0ePwOKIsEMmVaRuTsNQtAgxWEyYE6HZI6MmiY4OxK4xRbOPJQy1/Wc6a0rTqdc1bXCqRZnjTDbKynJ59AsGTHp0Qtzu+lE9Z2yv2qaPvehYiRONYY+m9IZjELkGjyspGMNklY4ISNlvidcc6Cusk7ETwxhJ7g98r8yp2fxDLdxVKmYWFWpBiBcVYSFgYUutFBEvePD0Vn38tGJknjJpCn5hu9DvtEgLEwqOC93jf46PHx56oQkCwZTNtyZs45hPLJCLF7MqEryQMlNi1NNyhPEpEhCHNuv6M5GskbhycO+Odh978QwYmUjPFGL5SmShexowb+9bFYlBlJ+RrSrxGl8nw23B3KS7DMYbMDGrF7aj3qapHrt80bC9UrnUcE/O6mXUmYPcH5oh8GSrJjiVsYtxXNH+v4x4LYx81iKl9thIhLdmJ4xzJgUqVA/QN+RwrikmGprTFoDQY1JDLVxgheiEayRtnT9SuyjhGzQ5qLzxUk6c9dlSQp2PtTbiTfH3w8z+LBXxQrrsd7LegPa+2kVe7hLYP4OQE6yKLJrtzrPfYpDTO0kjLUsCRiIsWlxxnC0PrEs4eVbQ8eKyB7bF8HIYaZjcuNZbBPhQQt8C2iUdnC05DQ586vAZ6v+Gz62v6yw3ri2fsUDYbWCyE9761ZLVwnCyEhQXd92j0dFG4DhC1ZKpFzdXLZ/J1b7DttsUNntmQpj1bCyl5tCZ6pOkiM1oqaVCM9GARmTr9qtukXuMw/VjpQyJGofPQBUVFctB8gi5EjGgmX8JY3HWYVNJEuh9aOFkwqyRRq9yPFlkqU1x52/m9/7F8wjP+2HBXRuD02xy+24kuWvZoNMYOG6pPrfa7yVd9behF5clJZfKiVMhRww69jjJxOeVlGFVSFJImMCVtRCdFg2fcexib+8aQyFgSlXJMVl2/dey3mrO0s3CU415r8lEmYLm8Se1FUua1Sv6HZCSdKvyK2hxHG1OOn5UkBA3ZKC7zeo3DjSn3dMSSCw2XOLVsfQN1XOhQBmPssMWyKQkGuVxGzVx/82aEd5KvBx9/iImJ+OVztrsO/BYNOzabyGabcOcLmjODWINz+cO2MWBU8ybAxtAYaEis2gabHMtGcCZhjN4YwOOiUlM75eBnJF7TrIZCkKxDm4bTlQPvCHvwfeTLiy26e07cbtmtX7HWxIutslo5/DdaWDYsWsOpk7yZd285DbAwsEsmSxnWYI3NE8WMe4Gu7wAhFzvNJRuMJETq1qgF069UOSBdeQPVurzl/ROzdTX23FTiDqaEDCXXjIngo9KH4qWxgiTwIZVJRgeXY60iPm5AXH4O1qZiNR5ntE0elfq2q4U5Wooz7gduEb4OSNiBS1J16A+ZjGfVy9pKvqbB+DcvO9Str/FYgDIqvkLKWb1k1Uu4GdA/NZ0Ph9NIwGrRVZMEkZAzfw+2lJhx3zEoXxQlX3INQpFCRibxfdm4nPTbQf0icwOp7nwxWb4AACAASURBVDwGKqBQahrKMD8rRR2DwbU5xHlpQmLZCSLlvhjIc3oIachqrEYsSK4bVojWqNAeFQwuh1Lex6AB1fYXle1NuJN8heDRGFmnSNJEvwvEfcBHg5GyceWrV/RdpEk5eLhVcAqhC4hJNDZm360KGItzDe1iQZPZGqPQl8hKlzIqXtN3WTF93mSKbFJOJTUCS4fGhm7XsO8cG6tsQnb/rMjyd1DDUh2r2NKGBukjKUZsEIy6Evzf5C33HECPNrtJgM+Mdx0phfyL1oGdisFUkjiAOmqKZ2WcHKoClf84UAa0HlxcOOOAzDEMtTvHJCQVUjLEZLJJp7k8hU7k9mNIMaFu40oHVczL/cXU2kxlkVXN6oIyIXIzvhaoi9DBVyp1taOS98MiwsdehXqh+qyidU+EqiSknIAvZG8GmshbiiqmbJZqjDnqv4flKUbV6+ZbOBw3ub+PAtjsZLyvqAHrUXNdRK1JR/WAwqZEIKWq4I8EXpTBuK0hU9PCrcNuJSURalJRlYk2lpmBSNXZyniIVE9F0nKNslO2lvlcJlcamsxUV2Zyvdzg22bw7FV5c5X7u8mX74kx8jxFdimy3Qb6tedhs+DcNew7z2b3kpiEJjqsCK0KNkH0ASXStICFpLk6uGsalosFtrEcEq/6WEnYQZUNJlSzPNZAvUrA8n10aVFa+m3DZt+wtrD2PSF4TjRhVRC1LJNjFVoWvkW6LSkEbDAYdRg5QdxJ/nIl5A/UGZiVr3uDFH35bXQI5nGcDoOQGS2x/HBEwA4WBS1FWxmuV1GU6czPUy7gGmMhYSnX+cLkbOCb5GsazKwHj0NRWCaTgkDdfE+K2pFjfXKSAKkGM8/L2dcPx/pSxkG4VrXmOSZIb7pGXZzyzgrZO5EXqhRr8Lwt0+4tXotbrnmjkTohiEfnjiNrxn1ELOEaMeXswWH1LsbhOGGWRx0m4mFGrJmKVfWSMq9lKSkbCYlaXDUNl5MyAU/jH0dDJSd7pNI2HfQdGZwMOjSrkL0aI0mxP+ocPKwH+ZfqBh3XghKfVpSzu3An+YrrDSFF/HpN2Pe4CFYWLMXRiuHa93y53iFmgWse4IzF5RWA6+sNKfY8XFqWzmDYY7RjvevZdT2taVitmsndjgdjfZwSL46en/xeqHPNYtv5yFUf2EUlqJAwueiasbh2BY3jcu8JSek1ZsWOLNVfacuGBdEkFq3N4vlykbM3ZtwTHKpbY3fJJFpkJD95zA3aNTWjcaA8U0tdDi2hY5tAcspMEafyiymNJU0qHZJiOIxWYYkn0xzcX2eOPNiLmsUYeF/rfWWul9toyoyVM95SqYMzL2VfB+jAyV//fd4+1R8WOq1ulKqSweHMW/tQTSuRsrJkN/m0lle6YQ5zy98y/fcoIFmZDp/j1o/q3dyD7wdq/OsNci1TQpQJj7FmmFenfSRfgEElo75W/54YooMRPd6oJh1OEk0oLvVcksfIMLsezcmavXM62RB+2n6mG9fr0c84LIe4Sn1zv72TfPmLC0KM9M8v6Pc9p+YBS3vOiUmsUH683fK9Lz9jsXzA4yentBgMueDj7z+/YLfd8uH5grNFw0LOaGXJx5dbLq93nImyPG/KB3gb8Zr+fdvPcVxYfschRnzvudz3PNt2XHWRXi0RizUOaxua03OwhqfXHc7seW9lWFlBpUGt5Vla8SqeIC5xepqQxmLDbiZf9xJFUq4DtWaDTReE4dCcTRMjmQDVQVQrKx8sVuP5+dT8rFEZeVyNTdCcIi1qyyJjoagSpgRoQnFcDovjKKlXa7LGkxVhfRz+1RzTHO9ga7ZZCRhN896OXw9M2QoMfxwsUwO5OTiEcY4tmbTF/B97dHXrlD6pebGibLadt9MrCoUAelxFcqBq09ZMXtahbaZEVKeDEpxz/7zvqJmJqc5VjPOr1N9zUBcYl4/1OdRo6LfVMFUzUfbHdf9m/9JcvJ5KxiaZhoWJiZS5t/R7YUz0SFKN62zk6vE2WcWzgDBMyTWdBK1hUiOGEDA9Gh634G63Y9cRYqLve7re07iImEjrDOoMdtlwerbCti1qE0EDV7tI6Hv2XaLziV2fECLRKMHAPuRgtzAtkER1QVYSVX9ncoyZ/BwrX+OjqqA1UD6ApCy+W2NwLhdgdWcrsAZne6wk2qXFOSH5Fg0OdpbgAyZpqaabRul0xr2AHPxSF5ejY4ZMGzkQykQkB01KrVUkw2O9pE4HeR2g5PBDyAqCltiFqbVfB2ahakPLchtSsbJqGQotFlceyeOmxvkV1bHswLQtw78mB7nWgoMz7g+OqcgBh5KDZ16PG4ccWuyj8lWC6st1DzN8KTGSdYXToT8eKlNTw3jy9+tCNXT4pxxeJYMZ9xXGmEJL8r7M08SMca7N/4gxuZ+ZBCpjHK4KufC1Mtq/ubNp7YP5wGFK02F6qx6FsU2Hte2OBkQ5x5SNtYc+eazaUZ2i5XXJ7dUhYL8at8K0iW/aYuhO8rW7XBNS4mq9ZdN5+nZBYw2yWLJYtpw2D/jOA0cfhXXfs9tHPn26o+8827UnesES2TbKokm0DbzqlG2XaMMg/gHN0Z0rGesAzxgLZifH1tEfGemtQaNDQwO9xXSCC8ICw9I2rJZgVivOvvEEs7CI2yAm0TYOaw2pX6Ch4fnTLf56i+0Tsg8Qa7ravIDdF9wISak0ZyIPV+JlDgaslMz4ssgMv6dJ3MJItjJJKq4+BPWx7M0YQRPOGpqaDFIHciJXrLf2IBZCTQkRLQTMjC/lSU01F04lB6xmIjZugZHf0/gGTT355ocx417j8PusMYT599xXRvP12Oioxm1VwCgubcgbzOeAYS2LW42/yepCOjBS6r0yTOm3jhq8PN5dGWqfKGXRSje5ViFg0/bOdOz+oGlbVHNSxqiuDlPmMJkZIziXt2cjavnOa9pHUc+0blMkh/V8B8/AaNRqJVi1rBCHIvFgW2vNv9W6zW+xTwVNlYClydnVwDYDqRMY6pCVCJMxAUB10I1UjvY1vQV3kq8qIaZabTsp1mj1cCDG4BpXxOuSyhkjIcYhjbNuVJmTC6Q86vQz5HgyGV2K09ePLau7IMXNIwdnGcluGefynlE4m+OgnUGMxThbNkQuwmLpQDUpdla+7g/u/K5KdsvB8fmko1gFhm44vd6Nvb0GVVSGgV5PfWO/OQhcmCoFU/OtKGD18KNxc2BVIkN/nb6vGfcct32Hf4Tfa+32NbB4fL72PT3s20UFmxzJ0OunK19uKDdo1NDNq3Uxuqmm955xf3BQ8kYP58fJQz04F0wdXpt878N/9Qk9nviG6fKGqlUN2YNZsPTAG8OlPjFqt+PsO10jDnlHvUMVaw+KF99cWl4Ledc7uIj8LPBXgX+ELIX9d8C/rqrhLTZrxow7ISJ/D/CfAv8A8Az4S6r6N95uq2bMuAkR+deA3wB+HfivVfU3Jq/9WXI//jbwvwG/oao/fAvNnDHjAK/rtyLSAv8V8A8C3wH+cVX9n99OK1+Pr1AK7K3jrwJfAt8A/hTwZ4B/9a22aMaMOyAiDvjvgf8BeA/4l4H/UkR++a02bMaM2/EZ8B8A/9n0SRF5Avx14N8l9+P/A/hvfuqtmzHjdtzabwv+NvAvAF/8VFv0E+A+kK+fA/6aqu5V9QvgbwG/+pbbNGPGXfgV4JvAf6yqUVX/J+B/Bf7i223WjBk3oap/XVX/JvDi6KU/B/y2qv63qroH/n3gT4rIr/y02zhjxjFe129VtVfVv6Kqf5scFP5O4j6Qr78C/AURORGRT4B/hkzAZsy4TxDg1952I2bM+Anwq8Bv1j9UdQP8PrPxO2PGHxr3gXz9L+TBfgX8mCx9/8232qIZM+7G75Bd5X9JRBoR+SfJ7vKTt9usGTN+IpwBl0fPXQLnb6EtM2Z8rfBOky/J+fx/ixx3cAo8AR4D/9HbbNeMGXdBVT3wzwP/HDnm4N8E/hrZeJgx475gDTw4eu4BcP0W2jJjxtcK7zT5Igd5fhv4T1S1U9UXwH8O/LNvt1kzZtwNVf0tVf0zqvq+qv5TwM8Df+dtt2vGjJ8Avw38yfqHiJwCv1CenzFjxh8C7zT5UtXnwPeBf0VEnIg8Av4l4LfebstmzLgbIvL3isiyxCr+W+Rs3f/iLTdrxowbKHPrklzF2pZ+64C/AfyaiPz58vq/B/yWqv6/b7O9M2bAnf0WEVmU1wDa8to7VfDwnSZfBX8O+KfJtZK+Sy55/2+81RbNmPFm/EXgc3Ls158F/glV7d5uk2bMuBV/GdgB/w45PX8H/GVVfQb8eeA/BC6Afxj4C2+rkTNmHOHWflte+53y9yfA/1h+/85baONr8c4XWZ0xY8aMGTNmzPg64T4oXzNmzJgxY8aMGV8bzORrxowZM2bMmDHjp4iZfM2YMWPGjBkzZvwUMZOvGTNmzJgxY8aMnyLcXS9+/M2PFfK+KKiCKqqKAjlMXwBBRPJvUo5FSYCq1gPz0QeZnuXIes3jwP/bskLLc8evSDlXy82ObntwS7EG2zjECM5JvqQPaIxoUlKanmDKPWW43uefff5OpavOuB3/2J/+hxSgbSzWCEYSIglK700qqBpUBcWACmjuW621WGN4tFyxtI6l97TB0/c7um5Dc3LC6r33OTl/yDe/8wu4doEsW8QKxkREFJEWEQfiAFcHUemjKf8WA6hifQ8p4ddbYtezvb5iv1lzdfmCixdPARAE1y5ZPX5CQPjx9Zat91xcX7Pr+3zVG2NJMCIYMYgI//v/9XfnvnsP8OHHHymAkWIbH32vx3OlMYa2abAiLK3FiIDfQ4wYzXn44hrEtbjFkvbsHOsaFqdniBGixGFSPZxhy300oZr7bEKZLAD5aFVsipgU6dZr+t2Wfr+n324RDNY0iLHQNCiwCx0xJXYhElTBGDAGqWvJZO6vc/pnn30x9913HB9/8GTsmWWtFRFSimhKkDKHGA4Rg2saoHSpSR+X8mONwVqLMQZjcheI9QRy3xPG6x6MjDLvUa6dkhJCKOt8XuitlXxtZzHWMvb9MhIGzjFyi9cht722P9/7uz/4wWv77Z3ka/pBMLy16d1vu+5XyZ78CuNo+mHWD+DoAz6aIo5+uXmPShKRShTz38O71MP7jnOA1v9n3BOoavm+8zCuJEQloYBJQtQyxBWmvar28kziZeyDEyKeUiTFQPAeMQabLIgB0eEqUsmW1MlBEckLilQLQRVNCjGhMZJSIEVPjD0pxdwSyRMERvIkAiRNpLIgvq5nSmnvrYbMjHuJ1xupec7T6fMyniOl/6kmNKXhEQxic/c87CbjovOa3gWM1yXl6yVNpJQGI11KO3Q44+ZPaSS3lWGas/HvG8Z5NAsyeQ4eVJwpOzuCyF3kZtK/vxLF+Opz3ut6eH7xmNTVv+WrsJg7cTf5SvlGabCA8mIykJjpsZRBPjSuLEKVOE1Y6PRbUIWUJoqVHl5zeAG5sY7o8NqUiB1/lCODNSKIMTjbIEbyD4qWjc/zsjaZGIYGzQvYfYU1hsYZThYLmsagGkma8F7p+kSMSh/1YOkKKfeiLhkkGqw0WGNRG7FtTwqR9csX+O0Wo7BYrnj80cc0iwXNYoF1BmcTxnjUhKJ1CQmDqGCKyqYBNCrd9Z7ge3bXT/H7a64vX7Bev8L7QCTQuCXLs1NULPvU0cXIdnfNzntiCFmZOIogkGx7waAkzP33vsAMX1WZj4bpVwejonocjMmPqhBF8ZKIIjhrMKaBGCAqSQP4BCSCGJJrEbUYZ2lXWbWthmmdxRUBPVSjzDDfptyHY4AU6bbXRN/Rbzt815GikqgGSTYcIkpS6BMEzbPuMIeroiYrBqkSRfROpWHGuwzF2qxaRVFS1ELOKw2feswqxZex8x+6oEoXma7t1cfG4LEYn739j2w/Sw62Gq5XBJhiBIuMJ1YeMOUWw6ty+BqM5PGrzrR3kq98x8GZV9/qeKfxkKFRBzyxStkik8NvErCjG06vwMFb12O34zEfnYhXBzL6pNnDl15UEc0/Wqj59O6j92aWve4fcicwIlgxNM6xbCxRTVaUUiIIWQkbJntA8qSfNC8UQTNpSkbAWIyxxBiJnadX2F1fkoLn/OFDLIC1QIMQMZqVKjUUcmQAQZLJzQuKxkTsPKHr8Lstfbem21/T7a9IagCLWLBNQ0TwIeBjJERPCJ6kaXi/VeWDanceu5Fm3Dvo0VxUfq+kKxu1pffqQNdQU/pCqsqTohqQaEjBA0L0Pl9s4RAzcdGU+9QZ+mYf0izwqkKKaAxE3+P7juB7go/5eDEoBhVBJbctogMJOzCupYyVOvfKLaEoM95pDNRoWHtlED2yk+HQpTwl9dWAkMyE8i+VgB2MgRv+rnq18bkjcUiRN6/ho75UuIoOzx+cdky6Dm9U2l+vdXf/fTP5mrZscNvdbkkfE6ZBdpxI49O4hfp79b/e2Va57Y433+DxgD4gaJrdRb73xWosakHM/ujBwjz+RPUN0uSMdxIiStsIy8bw8KTldLWgDz0+eLYa8H1EE4jGQryyszCmRBLFpx4RJVhDMgbUIaxwJuJMjlXYXV7Rb3ZoTDTtgvPzBzRNi7WCNYJbLWhWSyJCQHIMTlRSiGwv1wTvWV9dEfqObveC4Df4sCdGwTYrTk5PwTTsosHHxMW2ow8B7xMpZaVAJBOvw6GgWfkqutuM+4PRmJ2alNQnhzlVRLDWliOyf8KHrIwZ5zDGII1BXILg0ehJMeC7HdL3eB8w1hLCCmMtzaLNcS9i89xp6tyt1LivGEN2MQaPpkjY70kx0O12BN9nhUOlXMOCFXCm2BqJqEqg9MhpDO9A/CariMg8695DCIfrff6Zru/FaADQlI8vAs1Ayke5dwx/0tsVFRkkp2MzYeQpQ5QHFPVtPFfE5LFy7N3Sm6v+TZ/f60SkN+Mrkq/JjW8Jmp8qRXLAkg4Z0yHxOiRgd/p6X+fy04OHW15XdGDB5Z4JiDEP7FRoVtL8c2s7ZGzjPBXcH5Rx54zQOGG1aDhbNux6xZDwLmFFCDAOsiHoQAsJC0QjJGlIhrwwaYslYjHEGNjvt3jpSKpY58AH2naBNXkyWT04zy4hwCMYVVxIhN5z/fIFfdezub7C+x7fX5HiHoyCMRjb0C5OCSp0Kuyjsu08fYiEqGgaVa5BLT9wwxcbTWfyde8w9ThMpCiZTP9Z9TLl8JLKkbLfI2HQQn5EE6oRoqIaiUEBg4aIWAuSMNaBgnUOsQpiMLa6gQr5SpEU+vzY55hEv9sRQ8B3PTEWxauqvGIGEqcoMaasek1m0qnycROTfj3jncfoEh+VLK3xf5MkoAEHfrpbxJxK3FJCTPEWSFZd9Zho3U0RDq833D6PJiPmYFwdrPSDJXTLDYpxkD1oE5Fn+PfujvsTkS+98cd4A9XDm8n0uNI2LefUGK8p7gy2m0aDZo09W4VFqr7JPWU4dErQBjsqZSsxSWbdQ/DzjetMWPtMvO4VTCFeD1ctD5YtHy4bHi4aXoSOkAJGIzVYfRwsk+9YlRg9nkRvcwyNNRbXODARpCeJwZAzFoP3xBC5TBdYk7MlrcD15RW2bUkCqXRyjZEUE/vdnhQifd+hMeYYRNdgli2mbVC3ZCsNfUxc7zw+BPYhElMqUjplLEz6dlVFGAnY3HPvH3Tyb8WN+FkBnaw+UubC3HcTvUIy4EQQ4zBtmwmYL5mLMSCa8DsQY1DvMTa71sVYjBGMNajmWLGUErEoXin4/Lf3JXusLENiMyG0FqxDUbwqURUfQz5uXP0GY/3I1zDjnmLqiUoxoiqZgB2s+VNlrJ5TVui61k6FGrJRMcRkHwlgozEyWfeh9NsSv6g5lORYSx6UME05Fnf62pQTlHNFZSSC9bnxLgMPkuNOfQu+IvmqF5JbRsY0KHLggfWs4U28WeE6JGA3CNVUxRraooVhH36xt77nqZxZ2LaSvzBz0NqDW04C/eYp4T5BCvl6sGh4b7XgybLlYevY7+BaC/kSRaUM/DKYMvJjTB6I+OToaWiMw0gDEos9YDAS0BTx+x5NiX67B/KCZ40ZB3z2wRM14VNNYRlmCQRYLIWmaXGrU+zJil4de7Xskudq3xNipA85aDUJKFKsQEU0D39zMDEps8v8a4Kj+JjifxzN3yEjPC9QMaXswhEhGaGxFmsXqAQIfclOJPfd4gmIXZdjJAsBy+n9mXzpQL5CcT/6wTDNMIMSJ6aSL0siEVIgpkQIsThHTSFe5nZB4RZ3z4z7gzGcSCk1p247CsrL1fukk/lwEENK7K1IOhJhDh6ywTnwAcr6PiF0g/tzJEilFcN9DuIqjx/rEoFmklbvo9VPcoQ3c683kK8D5vf6CwrTCX4MnBtY4PCZ3sxeOajpMny2+biav6WTD3xq0Y9M8zWNKtevP0MiBWlyXv0ijq8zMu/ZFrt/sGXhaK1h4QxOEyYGTIp5gdKqe0m2zoBBMaV68ISUoI8JvCeWoklGE04UY4XGLrLVJC5n8/hc08YZk7NrY160KAMWLMmQ3TpNm11E0SOaaJaWphW0cXiBXQys+0Dvw6AepJIZpEnHOap0YUNRRaqrXFNdo2fcI9T5KsfCjgvOGD+b41SqtVqWuklngFqXK0ZDQhDR7Ao3FtO0Wa2qde+GfpRyXKwqKjEnmQz3GF1A03k9uz0FleJqtALGkFBS8oPiFbUmTE07pJY5/6iD/qRpYzPeCYwMYKqAyeGLTJWp/ML40iE/EJ1k4A4y1DExP3R1Tj2YlRIN96ki0IEYpMSUjY8qzh2zgXqdNHlPIopWPshYQqiSGPMV+u7dpSZue+I1stLY4NsUruNgYG65kE4WCTk4QmR66ylpuosU5aNNcQEZIzibF6WQfJ5k0k0yWK99EI92x11mvJswRnBGWDrLibM0KWJ9xMaAGfprlblHKyZ7c8og1hyA3/mAT0pw2VXpyJaBM4Jzqxzh0uY6R37XEUPMhV0RIoGQQrby1ZTMSYc4y+L0DIzg+y2aAotTS7swbE2iE2UTAq+2gRirWlbJl5S+OyY/13hMU+OAJu5yw6zc3idISQSSowWsuhsPS4fUeSodTFTV5RIK8TfWYI3BGYdbtNlQMEW9KsV+NUZQJRbeU0sSTyfJYYEzReWyTVYBpIwqA4iSNOJTxEdlH1K5RHlfwzw/zq9SJ/nxRjP5uqeYqkWHZu3kmImnYepmZDh6XO1NnecO3IaH81llDFPX42FpirFhY0GsrBCP2s7UbakTR58cCEeqeYzqxIU+ik35+Gy33N2Bv4Lb8egCd/gNp0fexoLHU28SrxvXmsSt6G3jUKdDt7LV0RIUkaGWl7WmWGn5VFPkepXxfJ38c5ihcdwpZtwH1AWqT4ldjGxKB9gBveY4lFQWmqRVaZVJv2KILcgiUq6KHGLOlI0CqKHXhEGGbJnYtCSTBmMhqBC1lJgQS0LwWIxxOOuyxWUb1AhdSoQQ2BLoNNL3SoqpxMmMGUNZnaD09dLzJ24puDmi3jQRzHh3UEMparbfdFE4JF9jzMmoDAwXmfxd+26h4vkEYj3GWqQoUGbsXBhkDPUo1okURUqsKaQr/9RxRMqu/KiJkBLxNgP3oKnHksjYT+XGLzPeZdy9UsrtBw6vHRkar7nueMZYFurgWCWrUoOaO9XVKJP60XPlisNsOjRlQg4nzydNSDxW6cb7CUL6wypf//9wKI9N/xr8sdNXdQykq5J0dTcaU86VSdJ1qhJFOUPTAakblADJF7DW4pyj6AUlxqcG4eX2pdrQ6axQiNeUzc7r1/1BHZyXvScZ8MuGEzG8TInrlNgmxaec/h5KqRNRezDja1GUqrslhkSvnmQMYi1GhYBixOYthsSAXWR3ZdmuKthAdJEc52JJSQixxNXYBWKFIJA0sI1XJL9nHzq62BGTI0ZXtkKSHGtT3D5p4nN8PemS4Z3Mutf/x967dUeS7Fh6H2DmHsHMrHNTj7pXL40e9P9/lF60untO9zl1ySQj3M0APQDm7hFkZuWZnhkVjwJVTJLBCL+amwEbGxvvz0T1EKMTweRNIDrSc5kOhBwAgsoepruHcHBrjkoUjsAIUAMNUxGKO8U9tLtGhVkpEQQ78XpbQECniouwuIZw6uo0C8TLCCHjURgy0o1bSuiG8nHIYeTxwI76PcQm3q9t6/53ec+hfDqqd4E3IsjbbW2AC7ARvTgMr/vs2Aam5PsSbfXtwdm3eJsMPRyCgLV++8I2nP82oObbzpfsk/d+BK8zouPPIm/9/fD4vHqOjq5jJk+SqKyS6s3EhRgolCvbzxEoScLcMUHYFiW+RgKO6vtvcrlGeeQh9fS6xdLD3oO5C+bCasJiyiqFVQsNYbVbxOuGXuJj7IwH/VCEfHiTE/0hSe6MdyPmjegP5iIxVrNfWDzSZW8XqtC8Ix2W3jBrwY2xxtI73YLjlSfD3m2BN9HnY+ywmbz548PegcmreZTtvt8uC4f088arite2LfiedrZcbYTIAIwKyZhKR/raYywftI/G3D6qLHW0Q209uS+eiKwF3+vGv7odfTeIxN0Y3Xvp5VPz8L3ekeWIO/gK8rU5SPZXjuDMhuo6G0LrY4JOFDY6d8DW4id5Vr6V/u5r+5FfJgL94DfdH/s4muMxv4aSDh7Okfw/HKBvZAbv7ZvO17FhyeuI+jgF7LCc3F9h3+oZuL38+8NXsqnqqK55mk9ZnRMXorVGaz0i/+4RVfVkJGRfst6TLDpunuyLZhBXDZceBLue/BnbL+e24IoGOuYg+xse8dc7s7WHI/7SJ6SfOMuZUiZe/JnnFa7NYyx1I9rz5FgdTr8ER2YfF9n/t+xIk+GsrQWm2h1EKfWESpTpiwpaCyWfSY8SRbTHhPKyfMbMeLm+0Kyxthe6Lemg5RiO2SX6OLpHk9qbGWHvdxYByZh4/Di/Pexd2tHZPkreyOZkbe+803IbwtXA3SIRKcjonRBLjhKad5KpBi0FFp2NYgAAIABJREFUoWzUDRhIlI8PoSWqbr2t9GZ0K5hLqtiPnRX2HR/P6oDmHV7XfOY2Aib3lewP+/sw2Z19veUBDvrG4LRa9gzd4l8RipYEXoLOsSGoR54IMRfuqhA5Xt024nwcQ1beiuxeytjMdrR7cBPfRrHWfj7b8R3e82v2N6Qdb31ABuR999d7va8Rq21KyXcP4r64pfMlQlXddJJECDKnZP86MRQNIUrGG8JZGn2jfERoue8d5Tr87NxdwIwEc8KJPk+5nccE8O7MJAnvHl8hOjmo9iTA+fYicB/9cP83wjkTEt1itNFmQxlCvC+Il6PyxQeHQIlqxQgBjp/etn/0nDa89i5ds88SGSmyj/NAww9o2SN8eD92c8veQunfrvLeF4h9Qbrl+o2xmwiCDDnUQJjED+2CZSw47OjCFqr6ACI4dIHcSPPHNPc91/B4aukL3qwWA7Fj7PNNSPdhv0XTnOgGEX0gqm/ZEeHcg8wdfd2GzZGsfUCzZHv9fi97cKwiaIIz5uxO3BGNHWu+vK5QlPufB21K3tIWjRdeS1993X5FaiKiJztEIl9TIt5jsrcvt7M35B79yDQ5DEUDSozyfKXiFAtFZvBQBQcQZZ5KerK7fpLjtBbIwNKT5Ak4BgZ9NM4eiBZ6yPPGdgffoKgmzJlLnt16vQ97H+ZTwVRDD8tjDBV3ZpSzFJBO96gE7IPY7GNhGVF3jv8EEUQLSkFq5VRPlKKc5glHaKm/FX2ujakIFYHekL6iCCXrLI3sdXYqOMp1ipZG13WKCjGiIGC1xtJa6CuZ3axUkkvczrPeMJH4OqBgr6p+HvabNreYr2zwW7nxxeM99zd048rcO2qxOIX4aUGLMk1KwXmSeC507eCj6kvo1jGzbS4fTppgYB1RKF5RYNJQxNcy0ymsbjSiFVHIXUT3tuMxHwujjo6kuyPdtoVQjh962G/enp4m3J11XfHuu3h5+gxjzY21P0aU6qGC9+Bjbcj/9kHfh3V+13TabgAvYuwMhYNSFHOjdcuc48g7Dt9DM+N2aDf4K7PlvQrC7dMmYENe6Nvb+VXk61XU5V87tD1K/xbBbjTaFJWtBUuRcMzKQMEGv+VAeN8jrfjN85cNfS8BVRYjUbLhgOV3fwsKvHd184b7wVm8dbof9k5My+AMBrrkKcqiOCXHWiwqgZCNhsTbmEhH5/jcuwtYAS+IVIoqc50CgPWWUHmQjYtpkJ57h9YiuEjkrUtJ0DaaDlOycbdPqBXIFGN3B+ljFeLGhRK2Wef4hO5aM2wPv+8/Puwd2NEZgd3xOgaMY6GBAzAwPs9xZhuRvaJSYuyrUgUqHUkRTMkviOAhnK+xsVzkiB64oypYEl1WicACKVtvviGOGVQQdt7OBomNn/cXd17jqDvLY/vPX9KH/S+wUjRpPZKVr7ADHHKcksZLm+M1vsY4uRnD4/U732NDwAhgZbw/HKn9C1fEDqjuvoUNBBoO2Hj9axbUqm85XwA63vjN6/WrzpfkJH94HI6H8tYnXm0g+FyhQTTVwlwLBWHSeNC9r1FdY6E307f7tl/w4UBvF3scnEYPsa2RbIFZNat/sq2FGwasyQIdbIgN1U7ksnfLRsuxUNurvlQPey/2X/7whAicdaHoyrIufPZKs4VSlWrCaVacjl+DCxj0RMfbCAYiSpvKiVpmCk8Ue0K74kvwvLpcwY12vdK7cb2s9O4sJVLotBVvCxWhJkxuWkCFOgevRktUm52kMpXKpIWmyqVdqe2ZdV34Yg2327H7ai3bghPbgw05vuNh78E2p2vjrR5c6zemomN8PObFmG+FIpUiStEpxrA6FUOsQ7viW9m8R4XuAfHdTNiDk3SQ1qXF/Gu6BRaKUqrg6pgr3TUQh7UHF+x2Rd0zihlID+rJnkgaztjD3oOdz1PyTo3eO22JNmoDN33lL2zZr/2ObylDxtDY561AUrMqkjekqLKYqRSlHuWlumM92mBp7CTG22H7N9nNO9sDgZ2DO/5yH+rgAUIX+XVG1/dxvoS9o/g3ULCdqzI+FK8F2hXwXlVlLoUqMOXWWvPQUeot0nxbqu92jwcEc9u+l4qoo6mZJBKSkihgxkqyao6O3CEN48npEthUnwfyduN0Pdaud2UfzxVwqi0olr3uVrp3pAhahFIF7fs9HmPOLCYQ0XhYg4dYUZtQzoEWdMPpWGvgnb4u9NZpSzhfkpOKryu0lU7w0KIKMlqwuEfAMM1DDBhUClImSqm4OCYroaCf2jEHNGQc7zYBJefm5ol5+F7v1g4UYMa9vOXUjqKK+PstKhCOTBGlSqFqYdKCilHIIpMhrpq1S4OIfADVbsfU4e/WozgF181JHM+KqNBJWq7DKv1m+N0gIJnS2FGQw/sefte7slID+SotHKSufY8W71D7wYvdAwz29OT+ts0rGkDJUWY1fLZ8HsYYUlLfc8i0xNcAUkQ2qd/DuBv7G/u/HXjxdN35NuxC3dvL26M5xvF/EvkaG/36c3CPI8t2ACDRI0yizUstyqROoUF3WguuQSxgjlhcAK01c763pc47WX6/mM3Du/aVQMCIVFI4qEKVGq9Lx2mYG+vWXmbAnDtJTsf+xr8bHHoXDT7sN23n9XPcPm2IOKsVVtMg4IuwiHPFWTC6hG5W1OWOiEqZtVBVeConnsoJkYp0Qb1TWkPawrL+gnunrYGeFSlIFeo8U6YanBo8YG/PIMN6OvcN74310mOvpYNUZDZqNT4UOJ2eeNFCd6f1xmVZNpE/HBocJqakOm+LZV6MQ2T5sPdkOZ9mEYe73QSE9/xbgaxYFKpOFC1MEohrEaP4BSz6MgaMGmOklAlBQvQ3OTCih2DaU0fMLflohtuSqcUejbYBlxIumCXyViakKFZDdNV7y4qzDXbYDnz/1dn77XJbcv+w37QtawOgmydPdoAhcshg7agusEP4vB7LW0CZa/CG+pvhqTAvo6Ips2CiQeUwF9wavTesx3e3AQYl6ILsRXZvwF7bsyYH3+b1Uf53X69fby/0FuJ1+47Dz0JKJbM5X1JjEijCXAWlR1Nja9g62luk40M4W6Oxq2gJDzZvQvB2RoPXFXOD1iMSa543KdKQMlwwKYhWxJXuQcZvYzIbFzCjSbfQEdtMiMHjb+WLH/ZbtlO/xD2eDBdYrBCNhSpIoeGsBDm445sisTOcd0kV+sJcZp50Bq8xJswRa7gtrP0Zd4uUCoJOFdXKfDpRT3NU7pYSSFnvWO/YcsWs065Jps+2LlJAdaIgqMNUKjqdUFFerLP0xmrB09nQWdsppGN6CHR3vxY7QP+w92ARD+7zruMbjWK8InfvG+uXZNsfTecrMgyO0BHv4QCt67YvRZBSgxJyOqGlUopSyi4BYGYR4FrHbI2xu7TkN/aDZI+FULEqOk2IVFBhqjFm11w9e863sq0Vu+M1zkUy8N1I1w/7zdva9kIRG5wn0cPEdI8o3SJdN0DOAfQV3YV6PRFaMcfV0z9JoEbrJl1hHoUebW0x56bAl0iNPR+cOn1jjN1kvTb+1msf6OaT33KV3rDvQr72R+Juy7I7LjdH4OGNiii1RqpxUpjctwcY92jGKgkRilDrhKhsk4CWsv0t9jUmgE5f19CraYFmtRYpSzHDrAVKQXwGNxRnEkXVaQlJut3e+O1+Z5p0PP+DD/Tgfr0f+93vzpG20xUT59oLzYW1QeuGiiF0ihinSWPCyGhNdYrFqHwIBMGnYA3bitiCe6P3CyKdeprRopyePsaYnT8iZWL+cI6/SRSWuDmeDlhfF6w31ssXrDVePn+mrZGudGt4u9C94TJT5AkBnqYnqq54X+gmrL5iPee3zMdHecEY1LJNGiLlW5fqYb9BO841x+qqGwoG7M5LIl6hgRRzbhWlYJREzbq1+GAiXLVWRArzfEa1MJ3OoUs3+Iq5Bm7Ol1twZ7xT1opbZ7ksWDdaCw3G0WPSeqK54lQigO6l0jPHae53i+6+hvhYU7lb3B72m7beAvnyrLQIqQc5OGMHoIsRVrwVFu6vSgJbiGCyMyANx8hqXQRQ1CLvZTbG6hi3B+X8LSFwyBD8T0C1vsf+tsbawL0TdtMySGRghRt8PdXCrIXZOxNO6521rQQ7roIWtE6oFur5lAvZE1orZZpunK+4oA23Tl+WaPmyLpgZy/MXemv0pWHWQ/FeBExykY0JqjusJWQGLL/GWe3OdnrEWS3h7nQeztd7sj/88QlwVhfMjUtTVhNeLsaLGUU6QqMonCeJtj8NQNAyI1KZyidmPUW/u26IXcBfsL6y9gulFubzmXk+8cf//Z+YT0/U8ye0zMwfnqinia3j/eAydovAoa0sL59py5W//rf/xvLyzOX5mfW6xCTWQP0D7hWZKh+fPrCWBbjQmvBlXWlHLbotYRqaeDG3DM2ch/P1Hi0QzN3l+lruQQ4BbNHkEapSRZg8JFZaD4RVVJE6obVSz0+UUphPH9BSmJ+e0FLQsmuBweDjRlrdLOZf+hnvDanP9LVhzy9YFkxFhiKCYVSoUzhzhue82yDbIW3O5BFowLf5W/ThfL0Xa5l2VHYAI8aRh/yCwNZlxm/bor12gOJ3lWjajnpWLvrW19bMQT0yBSi4gim9hbSEm2U7whDwBW46L9yCWbf7jz/9zx17v4J8yVtu6Su064YkKZF3raUm4TMgb7donWKpeC9aYpErlXqKh34+z/HwzxNaNCXFs4RBQFxRKp4aIaP/mJshHqnIVYy+ejR47StHQTQFXJwiCsn1idPxm6zpsaGm540O5/sxEbwX++XSQJyS/UHVYLJoql0wJoFTTX4AEhWKJB8lUzdVJUjw3bKHaIxjFEo9MZ9mPv7xD8ynM0+//0PyvD4ipVJOM1LLzmNxQjDMPNLqNkGB0k58WhfWpzOjtdbaGn3jQ8YY1laoGCepqMJFKiZtjxp8fBs8BRK5lUNF0cPek+0OieQ8dsw05NycqR3VTB3WkEApOOIt+zRmWptCKRN1PlNqZZ7D+ZrmQG9LkSF5GCjFWChj4syFKpXvxXEtTGen1IalPpe1aLUVqdLO4IDFJwtg2R4maCBbxfn277H67TFu35VZdrPZvJqk8wwJkfF1V1gBvOlnbOu2HMcFDL72MHWiJ2lWeYv10KPzPThVGbqIvjtc4wHbvh2erb8R9Tq+W+6+f83+BzfWDp6MqnKeZkoRqq+od6wvwfGSaGyhZWY+fUSnmfnj79BaOX2YUZXolceu07Wl/9HgFABlPsXF6y0WqdOE95WXz8Z6ddbLGq1a6OA9nMJsdzGpoF6w7J/XBwSe135jhG3I5ENr5r3Zv/78QlH4w6kwF6H0SHuv3WjuUfF4rlEqP1d6c55pmAldghd2KkJVKBYoWbeV1hfKaWb+4SNPnz7xD//nf2U+PfH0w+8odcLLxFjB/Ca0GlpK8Zu4M9tHvHeens7065WpVr789BMvX77w8vISCO/1BbWJWqIsu9SZVQrPutBVEAkC9NjH9qU7Al2yOfLD3qeNyql9NG2eNaCIFEqZKaVwPk1UFWR9hr5C71gzkIrKzFTPfPgYY3U+PwVKdtLg1egQlDgKWI8UYDpDFgiCMoE7dTrFQidQL4XlcmW9rikhFCGvNw4NvJ0mRndLFML2eXacqyeH5ytE6If9Rs1S4DnbBQa1aC8U8YOzIxsqz1e8lHhxaDCGbErwry3nu1AGcgpOJQuYXCK93huqviPCRXbk9iaD9Z/PZv33buG7nK9brY2v72p4mNEmCAoSmlnWN9J6EOILsoVYWeLsRrMeLWHoiZABwsabgWyqySFdSzqwKrgXtM5UN7wTEZgT2WEHkViEAvnyhDQjl+xbRdFAyNgffpHwph9Zx3dj18VRgReMXoTJHHVQF55UcS1YLfQOyzX8pVJGn69QAy/qqHTwhtmCiFOmiel85sMPv+Pp40fm84fgKNaKhFbEtnBtlMhhB2fMIScpqHOQ6k8fPgZ/phtr6wGdrx3Pyp0oSSmp4FxQ8ZyacruJfpVERLTkxPMYuO/UNpdk+32gQptLn4vXpusFaFYnBhIx6CHR504SkfIu9Lam7IkkL9pyezo2Gl95DLsjdkjSaAgGl3lOrbBAvnrr0Wye7BgxsgfEuuCZjpIj9eYA7G0rztukoIf9Bk2PjvIBuNj40veE+3z7NrqHbMQNdrSRJxgD45gpDEA250Anu5Qkp1d2HTHJNT/Ehne6UQzNROPGCyPQOBzc/Qz69ozqd799e+B+2/nKA9qETb/JeUqC/VQoWphFonVLa1hbwxHTipT80gmX0IPpfQU6yzVSRUtPMn3Ck1MpTKVs7QKi4iFPNUttFIUiTB9/x8k+ctXPiDyzLgvL9YpKBaKC8qQTRkxQHbZKIvNwBD0nHFWl1Iq4o+314HnYb9d+/DmG/jJFivGsxiTOHz+c+IfzxFwnztOJX64r/09/5gpc5hlxZS7RHJveEFto9oW2XJifnvjw4Qc+/vGP/MN//a/M5zMff/97VAuu0TLItwWvEF3zPHXDRjonAg0ELLXv5k8/oGaoFNbfX9Dp3zApXJ6/cF1/wbuhiyN1ps5nKlC1MZWVRYyeFZuIU0WoGq265prtPnr/xpV62G/ObsjouRwk8j9+v0GLklc1qTBhqDutNWxdIlsgsjeF95V2eaaL0tZrzPHF0/GJeXDQQcp8QjMlqUVv0oOW0UXQCZX54w+cnj5QSqWUwnK5YH3NlL9Fk/nsF2kqFBeajcAbtlU10/QjEDbfWCAP+43bVGrc3+xbG8R3NtTrb1s+dwcsXKF0mvB00jyrHomKW7cRHlByrhfV8DUkJK/MoFpk1kgO45YsSH7iq91/1b5+Mt8bL3zT+XoL8v1qNjR5WaOZsBBIw2gxsb2H0ZY1S47NkhsQZGTEQ0bCbKtuGFpJboJ7QI8tG4Z5QpgBWkjoLBVF60SpU5BMR0mYjw8I4kHC82xtdHzA71sejLYbrxPVD/utmlmMRUtdr3CJnCrKkyonUT4Qf6sirCpIKcGL0YKika6xSGs7lrzE8/ZVsypXVLckOckrGH0VB88h1pcYP8dsZKAJIbyq00wxmM5n5vMTra3oS4xdM0OtZ2QXVW1VbSe15rOmCkWESYSThKq43S3mD3uHllF++ibxj+wQUTj3iTBlhfdYBUQOfyd5hKrYoHT02J5lL8YyCWpAmZAxhMfMfzd4hwiPaPAbS50oNRywDQnZ+D778QzNc8ktHNGMG7ThMXbfjY0iDRuRweZ4Hd7kuze9V/F+zV2Rw0++z5/jXxlIWGBfSvgPPtBWud2WyM4BO9pG/vd9H6/sDdTuW+Pye4hK35F2fL2LNzt3C1u/xqqg1lEf4pLgoqk0T9CwrGP9Clri5FXQHhOErRe8hyqyODDP+GnO3HGntcbzyxWAMp0CzTp/oNQK04m5FMoZzmUCVXpb8C5BCrVBKhVqKbnfngtaVGiUUig1Gsf61tD4Zop42G/caq2oCtPTzFSVSY1J4feT8o9aOJvz8bpQm/MvZca0UKYn1JWpK8WcS2u05Rrjs1aefviBP/3jP3H+4QfOP/wOrQWmiPa891hfsqoxeDB2WHRkn2K2NSkWuyWfEeYZrROf/vQPTKcTP/5HZVlfaK2xXq8Uh9mdosqH+cRUK9e2ZOTn4J2K8KSVM/CpR2stzHaY/WHv13x38TdTyU4MLZIzbQ3uTbdw1FUiGFUoNQLb5foCRGACY/Eb66VQTx/QeuLkFa3n2E0Bhpsk90ulhMCqFMrZOGeVS1sv0YJrCZ2vbc1QQbJVy5uUn+HbudMf8e67Mc21fCCXe9IbxthxEgdx21KBtyPgKzc8U4eKbw2wh4TYGCOSNIy90XZkt44i6SqRZjfN5tcZIEe6W7e5+nuG3TeBqO+Ybn/F+dofyoi49yjkhs9yeIK2B8pHFEY+aEKQQ7OZcC5G4wKBZAujXQ18wGbeO9ZS0M8brTXaeiUutaLFKL2DKDZFaapoRWvftMLIh99JpfGRSd6InWwnMTLMcMxVPxav92TTFHBznSq1avK3oly5AtWhdqc4OQYKKhV3RZM4ioUuF8TEUqeJ+XRiOs1oLWgph0hpOOdHZCDHf/xyXyS8PT8j9RITA5R5Ym5P1PlEnWrA97Y3B8edUhST4C8G+sV2HKPLg3qgz8emyQ/77dt2p46LwJupyB3WEkkHfkO9Du1bRLLdVXzSrW8pvS19OcAKEawMFfu99dAOCoyikYFebAcbx6QFag0UuSiStBCXIwKc5zZS8fcgBQONeAU4POyd2HFcDGfdt8K1r91Uufvu+6+eoA8HiQoZfo6kjAU3GSw/OFYitvEl46OybW8c7C5/ccDi/G5kHqf4myBk/+WuiPKr9k3ny/wuMjk8dHBwwMYEoMktECi9o5ZaHC6UOkVaZZqp84notxrK4FdAinJ6OlOKMM1n1Drr5UpfV1pzrv0CYqFhhPN0OqXXG1ybpa80nLOfmKQG2Vhjn9N0otPxteGEVlhg5HmsKtEINs8u1HBj8rKB89utH/+w37b98z//Y6ZBwukqOIpxWRf+dV2YTTib8LMrVy2YVJ6mcyw2z7/Ql5V+XejLyunpA/PpxNOHjzx9+Mh0OjOVLBrJBWW0w1KisbCkk2+koOSB9zAQL9s6Vo2nNquEykQ5OecPH/j0ux+4fPnC8vwZeqNfr0idqOenaGM0TRRraI8FsztczbegoblztVEf9LD3YMeY9lt/J1PlWg6LihEZBI8yCy0TZY7ikVLCga8aY09GZjJXC0PBBbVMO9pAci0CYzfwzijZd4feYyxPJbQaPVEwykyZnsAb6CXm6t5CtkIk6R7J6YdR9Lhtm5Eledi7sTV1vsyGhzIcrwRiDhmze+SUzTH6GvJFBqjRRUSEHPcAnqnO4Uxl+8Du0b8UgBbBuNZtXyoa7bE4OPtYhK9bjv9gfvh+l9I8/izCd2Uavo18uWdVyuGBd7/fF5vXt6VhR1m95ctBeCu1UqeZ+XTeKrkYqUlVap0oRZmJ8n7WDi2Uma33FPQID7bUckO8N8tGx1t0FWhGTE5la2GUuaF0rXSgjCHmZ+MtvunWjGiPXDAf9j7s48enjAmiiGPwYFpf+WLOYrCY8AVoKCZKLQUXp5nhLcac9+BV1Wmm1ok6+CwjhrNjdn+PqiCqbcQ9dWqSiOrJrfEjF0u3SEbICUZLyAHMM+163ajW3lvA7xorV1QWDzHDGN7dnAYs2fao8Qgb/v4sZ1YNp39bnRLN2kr5tSQvsUd6MqfqwVI8IgV6u+UctAMay2bcFkiwjzGcpGrTugUiTo7NUjGN4pIY7xaaX6n5G2vFscrsOE6PK9wj9/gezGxIleQYkDGO/CZVdntXZfvuG0fw7e2P7NSgDQ3nyzdiP7jv49a9xzElaKQS87y45tMi+chkV9x8bhhr/k2a4tvn7ocz+V77NuEejnjznnS89/wkkCtRGT5oPmjjtCT6h9WZaY4FRVuPxSj5McAGVZsp7oZpxUsSnWUCDJcOGnIW5kRfvG1/MSmYe0hTSKjnhxaNILoGiLWV5+/VnKM/59FhfSjav1+zzPWfn57QIry8/MyyXnhpF9yekS5IExqFF2bEJ05tTuQgxCkrWcFbJkoNBHWez4gU+hKiwS+XF9wDYQBlbTGm50mpVZiqUidlXTvXlytr63x+uUZkNNbMElGL6oSIckY4Ea9Pp4n5WjmlTg19icnCnmJ8Zyp1xIzmxmKSzlc8je3rl+lhv2VzfzXVwiHrIbuK+OjW0XNO7ZQIKKYZPc+or4hfQXX4ZzdZnQgXBhKWX2aI9yDkr5Gu7Os13l0KIFkhDt5WRPpGO3FRSsn5O9iz2LYsByesiOAq2evxzQvwxtk/7Ldq/bh2DsdLssDukDb3zZ+4NXnjtfGHzWETQoCd8BscpzdLtC0RK3SrsjQ6u/eSNAzJ95JjflCkxvbvju81VnfrB42n9G/1F77tfCXytVUl+DgIv815bpWBAzbmkGbRccXQWtFSqTWFUlelR9EyA4OWotga04GJ4lk1E7StjnsojItqoAp54eLi256/ZSxoIRdhrW/53N3D2rVnDmd988z7Nku9ocr7sN+smVne+4lSC/YSEiaLLay+YAa9C5KK3RWYe0MNxKNcP0apUjSUwUuZqGXCBaw1Wlt5+fIFd6j1DKJcr043sKfKadLoDYmwdqddG9fryi+/vOBYPH0iUAN5LSlxoYmuuQi1FmpRpiJ0g24t0GjvDD7Cxp2JraZ45S2G8LB3ZNsc9taCJHeLkW6I59YuzUMKwtEIaKcZ6Qa2ayse9zWQh9je7owN3iPZFst6oy8hT6E+QxZRGZK9HC1kKQa6dujNO1JPyF7Rv6Fz29mOY7o/58cIfg92pDbI9s/xh22i2tAmSY8nVd/yba/v9z7HjfEjSWmyaJztA3vSrcYpNBJ2prpmMKr7gR0CkQEZ68Ypcw6uwu0JsUFR29+PVZ1DI+zbDsOvVzseWcLHMuN9PzcOTAJeB4pUeKKbzL9CKZ7IRKOIc5qA4qgv0IXWL9iQm/Box1JrZW0ra+vBLasll5pvHDrjBuSXSKLoceGGcs247ftYGVD+7ZYe9n7sX/76IyrC764XpqpY+wXpFz5MUM5nhIrITF+d63NDzCl9IYXnEsoO/kqZz5w+/IDUmaUFGcazbcs5J5RJFHfl+fmF69JRm/FTTU4hLGtnWZ2XS+fnny84zvyxIgrtuiQq8AIoy/nMcpop1inzhEwVqYpuEZ5ls1m26eV1Je5X48iHvSN7jf14pFZg52Td5gsH9JSjQtNJiqKjbmAefKpBpBj/RlN2Qeg4DbOV3q5Y79nyqrFeL5HJqA0kaixDkD4qx6daKLVQ6cxVsJLE+rFSHQjMxwX1W1fgkYB4fzZ4e2/4+gdHRnYWkx58iFdbk81BkwHRYlhrWYQ0cKwx5sNv8PQfhpivjSI/HNEsSEkfZXAYxTyq1GUIrPOV8XevucloAAAgAElEQVQ3v9685/sQ2+9sL3Tc2OtLtBXdkEROjwc8IhhNbzLSklrC+erdGI2N5yLROJMFDFp7oa0Nt3DcqiqlTLQepdLRCmOfcQ4+8yskKwig4Xh5Ej0ty3xkm7VuP+/3ztdW7fiYBd6L/etffwyF+5cvzEX5NC2ca+PDeeLDpxPT9MQ0feT6vPCj/Yytjj0vePPQ9jLb3Jo6PzF/+ISUmaX16HbQFgTnTKR+JlHMBHtZuT4v4Ry5U4tQq7CuxrLAy6Xz088XEPghuhhxWV9o1mg9npv+6SPdPvBUGh+nCeaKFolFN6MagQ1h+Hol47E++WHv1d6ayocvY+ax8JREqnICzBESAwwNh8uG7tvtbOaHTECkiTpIx23BVsFY6Sy01rheLuFA1YZLFimJUKeCFsW8MslEAUrZnS/SAfPjXHtYN4bJzXH9D7yID/tfYq8QywN8tKNMb33yiL/eeBfxJRrC12S60RxrfZesOKzXRxR47E+RTH5HNk8zUxBFAONzAxSyRGx1xDF3x/z1wHZs63uyZN90vu4v5JFQdvzbSDFahOLbzrc05MCaBh64HWX8vqUOLxGLtbXTeqfoCZGKlkIthaa6oVX4aN6aqrc7UH67i1ylRKPhd7zet/fuXniqL7/1xItsnvXD3onN0Sf04w8f+TAVzvYz1RtiK+26YmujlZW+dCbWaK7toX2kW9FGRj4CrtB8ZVmfsWWhPX+JSWBdEGCSGTd4/vnKsnR0+ojLiVo/MJ+El8sLv3z+hc+fv/Dly79jOJc+IQpXu2JugU4gIYtRgFmYi9DMt2PznMzcj+1jDhNXBg5DVuUxZt+fHWcgeeP1MccFSdg2JOyVGMUmTRIyJpQJL6BTEJEtaRoDmRqfl1ISyYq0oZmwNqM1Y2mJCFsDQqQYgW6RcvSkj0wi+OApvnVG2+oUc+9YzraU0cPzepd270jvztTugGVceudc54g+BgKwS6Uc+lpZt63gA6ITTUhYRYZL8MhgJGp1MwMO8WsZ3K6Q6ek9NES3hysPcCsCeDWNjgIn38fy1z3LN+27na9wFPcdbRfV0/myhPLkkO+U8TCNKz0crgT/shKh5Ems1053Y2mN5s75Q6HMJ0qdqKVS1zVbVOSFwXMS8bjoh1Bq3KuRopSa+jPdUldsf4/ffx1OfBtAD8LXuzL58EQphT/+b3/i9+cJ+WWBy4XWXri2C9EpoVJRzsy4FBYXzGAlu4UJuAqmIeS39At+eWH58oXnv/wHfVlZf/kCZkw9Bt2zVJooXX7P0j5QijGdCp+//Mx//OVf+OXLZ/7y47/Semf1CACGXEpwIhWXhpeO+4m5nmkGLTs7mBMSAZayKxvYkf8eeqY+1q+/D5Ov/BZzVTpD9/faLaOGTMtICqZ6oTWHbrQsxSgJoXqP6nMtE1oqqhXRivWVy9JprfOy2M4ty5QjEOX/mkLaEoUmJmUvlkzE4Y7fwTaAb479bmV+zL3vysZ6ueeVbh2q4VyP9j47m8nZpSjie2E4SYHcmjmt9RjX+c4Yq4pTQvfTDfpb/tJY4S3GtkRHHFfFve3Vmh78SCMDkzJAm/uHbMC26RMddvg9Ye/3Nda++dn3n0Y1zpZizN1KnujoY0cozG7NXjcy/rjmknckIYakOkdz4xKJRQ9hmlqyh16Jtj8txbkigyhbo9nxjJt7EPJseMvGPcXzxtl948wHV+1h78cqwYfq68KqxkmFep45F9BSaUtnuaxUlI+qdBfAaAj14LzHBBHNtYXQJXIxFg/R33XbY+rERPduuhtujeaWBPhQCa8Vns7K2kG7BkFeglxfptBsOs0TpykU+q0b3Swrg8FTQtUHp+cIKB+LY8axD57EAwF7PzYC3Lvo93WyY3dSbsrcM6Xi5JxnPTM3JeV6JlScSkWI9CASRSRuhtQJSo33lQntDS0zSqHOyZsNwa4t4B3C2aVMVI1+uL31kAgafBoC49qkNrcFeM+CbMH64Vo8Ru77MN3Wy/h9X2XHnZctR3W0gemMNdtzsIxclpLyPCahjJDjZeORS0iuuA9eWGS6hnh7/D9Eh3f++VFhX1K2R3JO3fyqwzPG8HdugoH//tH5q87Xtzct24M1PBiRrKAXy5LOdKys4X3FrCQZzreFY1Df9wguRNSKnqjlBN7obUHpnM/pfKnQTLiug8OQkPcB6Az4caUvV2xdsLWxqeweoMIbR/Dm7CQrLSUmqIe9Gzu5o73z5fNP9Av84++VD08/8KePhT98VD7/5Uf++m//jVnhh6myXuHf6SwOXSekCOJrPMBtQdYLZarMp8rLxXj2lS6dXhUxxTWShlajfP4qDVuvPPVO82jxcj4LohXnidadl7VgrpieozR/CgftT7/7xO8/fUDMWJeVtnRa8+zHXUAK3RW3SEk2s20Rc+57OTpvCgY+7DdsI3vAYVLyw1/Hd0/HShCvN32BI+9ieG9Ya+hUocyIF2SKBehJc55N3a22LKl+PwEFmaKxdhGlevbYfWILlIUQrRSE67rSu/E0TTydKrq8sFye6UtLfTs4VpJBIAzmloGx3/YBhgfi9c6s3iAUtw6LHUftIVvmfnTH948JB+fLOphjfbw/ggmtQ2w1ij3wCAyCYuQIJbRGxz40KtdVFdWDSLZDyaB5S5MP0AjZULYNk3O/c8B2+1uG7Hc31n7L13vFKbkJWEbvLt/gceuWul7jITu0GHLPB5ENUTOLyEm8x8/55XgQk1NBf+RdRUfKJfOdkgib9VRpts3ZG2fi2/HdnbvD1ojze6/mw34zViV5JGb0Hjpc02niw8cTf/hhpjZHnq8UV07MVIPz1BCH5+toDh/CktY71taIvDw5iOcz0gyVEAmua4vRVAsqSp8npM5IKVGcI0IpNdLnNbherhNOOF9IgRKpe9UaPJ4ehSm99yyrZkcaSCfrEDxs43nMe2TqFB45yHdkIw0zBB9HtmHHEI4ZiHSuDyj9kB0ZaZwhhBoE/OhTGu/NEjON90vRJBfvCt9jL6OfXpEUprY4viIFAaqV/F221nJ7puN4Yhu+sfEXGd/uA2A/jN+HvSPbHa/tt/ubeBjMLjtK74e3ynFAeLhwHBy1gXgdkf3BPNIDIisScuq6IV4xBgfZfkPqRDZfZH+G9mO8efpekcn+dvvOasf94PaHm/BGM09q5piErpdLqNBGl/GoHOtrQ1ho00xvgls0YsWMdV2D67W2+O7BubmqY21hkiDV935lXb9g7kFCBlYPol05haKySIj/RWlPw9cVW6/42pFuAY3qQVxCRnnqMbLMIm0RMt27I2YPexf2oY7+jKEkd3r6xA9//B3/xz/9if/rv/ye9ZcvLP/wI5fnKz/9+Ueul05ZGy8X42X9TLOGSKQb1+sXXn4plPoJ/3RiPn/kT//8KZ7DrtA7fHmGbiyaukenMz5NTPMpuJ9amadPwMRpBUT4/ekDohWpJ1yUpXWaGUWE64sgrcN6oV0WruuKosxzwaVkOtJZe49uEel8DSSX8ethcnnYO7IDWHm3DuyAWK5H4SdNgdRrC/kRWTNwaLR1jTZDFCiVWpIv26P3gQ1cYlJwzSpwxcRY2xXD0CnI9zpNOe6jfL9mH96qBXdFaXC9QrvG/Guj64jE3KzpeBFjM2TEDov0eH1LLT34Hu/Fxn0cVbd7OzU2igQQkk/bZ0AsgJdwiMhpbIyGnWPo3sPBLwGyaBk870MK3IPD6DV8jMyoM6j4JXXn9PCZ8KMUyBS59fjE0PM5dpA4fr/Dnv5W+xucr6PXuE/u+0TgOfEfAEMZTVHYIjAb8OFQpB2dh51svsq2/UC6Wuhz6C1C1i2njISyVTUvbB7uWIT8rilxesQid5WRG6g4qMu7dtLwwB8R2PuxMu7dsXuwCyqVWk7I1NHzJ/oafT0NR+uETj07LXRcxiLV6W2NdkPmiBbqVCP1Ugp0w1s04a4SFWA6zzBN0XwbkGwXVIH59AQinE5PUVE2zSAFWTu17+PVDbz1rO5xTNgiuQSQt2cifC+5RbjGHPFwwN6/5b29XwL2eZcRMkYhxlZ0EeNyQ7+yO4gPJGFLUWeaBic4tzvkJA4FxbXgYzznTouE0PVALyQg2RzDnUGqHnPuLd2D7e/7sL3JtT4G7zuyY9A30nmejvfNHMXAZQ+fGdvgkFmTnQ60KSYQHRKOBKPbByJssLkQzadiK0nizVzWAT3jZn9f86/85tvtG7d0w5ufHPZdztfWO248N54P9TFU8YyhmkW1lwaEPSpcrEfednlZeC7XlKAJJe95KuH5thrK5KlYG1C3o7VQpopMgsxCa412vaAo5+mMlsJ0OlFq5azRG1J6R9YlZAGuV1JdAhGhlooDzfutc5ZKb4P8dzMrPNI278pqdurV3tHuXP7yEz+tV/5NlJMLtnTs2vnxpyv/97/9iJlQ6if6NNE/nvFSsZeF3jpLW+DLZ87nCXv5AFopNSpsR1Svp6dIvxSliASzXpWaHINT/cD5fMLd+V220xoDLfRkhG7B41qvV9py5bktfLlc6Ms1EDEtSJ2hVFaHZsbqvmktDZmJvRLoPxmaPez/EzsuAfu/vFpgco3DjahgVM95NypmEehrw7ojVFRO1NPE06en3EllIF/bfgfZnz3BMxZAAyzTj2rxjpp8Gk9h4r5Ein5ZO5frNZG5oISUUnEROsG97eah3ejHhNKeJro594f95q1lZZEMyscWFLym2aePTjO7GdYyABTVAFzGe7dxKigWGbZu+2K9Q2bbjiNo2BPdAgH6SMpiHRyuLXOwBS1O7ynoXsrfNov6982731fteAhYcuubx7oDTfGEmoGqkwk+RoNNTw6A9U5rDSkjTRiEdnGjiCNmqUQfzpAkvKhFEa0g8XdpKyLKVIODM5VAvgrJObBUId/Uyge0ONA7bqKvuF6DSLd1pNwjw4fz9a5sIF6jwXu7LixFePly4ZcvV6wZtnZ+vjT++rIAyocaaK3VChOQHBizRL5aw1vHi6BaQyE8HXopheB1aZREqoIKRUJfriBUmUBgyjS32xBJCXOr4Iqaob1xxfHeNgmAAHoDDjfPisoByW8nTqK6txPAY/i+HxP3bdG5yT8CNw71Fl37lprZ5t2xFqWyqvWsPLQaKIAQYxZPfbnc9xso0xg6htCJjWvSxcpwvvDIXGwZGsesR09dKYl86Z7lcN/7QrI7esfjeFA93pcNivqWJdrubfxy38zP2VH7zflKNQLDkZTiGWqGR6wnlBRyB3qXlhrO19jmca8ZLIca/N2zJYd3+y6FEf5OBiXfGpA3SYe7Y3rDfoVwfziWscmjs3IwldHbsQcZnpwA8sLERYXeXrhenDLNTOUJrZXT/AQqzBKLkW3ikdE8paik1kfH7Iy5cfrwQx5j9OYbudxiC6zG+vKF9vLCernSmiFo5HkPnINuPdKXORG8etLNA8I/QJAPex/25ecXRISPRSmlwCI0cf7851/48tJZlsbzZeXl+cKff16oZeZPp3Dw23zGpaPnU6QBW2NdLyyXZ65fvjA9feDDxx8iTXn6BKpYKeGoSY4UHYKpmQ5nrEmjqis4DBvxxR3va/Aj7Wfa+hmWn+jXz4h1prlSakEnMDGW68LSO6utieB+BaF9eF3v3I5z7YZF3f7uYLZiopjUqPwa4Gq36DiyPrM8d6ydcRq1Tpw/fkC0oDpmd/vmLCekCJDEtB6rawM3rEVLuOXyheXywnq9BuImGsiBKEak0tfeaB5cxe5xqI9R+vdhw0n6LqfZSZDl4Hxt2adw5MMLAHfBLLZqQ68rF225qaKV5Ie97Xxt5Pzt+xBL3f7ZjscsABg1DsDMvs1vjtnvGNDfdr5uapdvHa84OdnOYyB/8QBLUjhly4TglrJfjbZeQKH6DFRKmULIrI6LM7znHVeDjOJygphvXOv0j92hNehR5r9eL7S2jqrR7McyhAGTO5Y6TGNzsg0dz8qf3W9/qC6/H7te1hCPPJ0iim5g6nz+5crztfN8Xfnl5cqyND5fOvNkPFkgVb3UaI81VaQWvDW8N9q60JYr03xiLoUyTUxPT1AKrWhGaZZcsRi7JfVjAAYPYlTouuVrHYLgFY3jxS/Qn/F+wdsVHGod6C+A021l7Z1uPSaw7Tm4tX3dfozd92L3tD1PiD7m12O/vN0Ji6DXsWzlFmuYIBZN4t1W2pLJvUvBZ2c+f4xMgQiMMbulrNkWpqMN508OOU/3jvUV60vo6l2v9NYHWMsQ/h3rRrfk7G7I17Ez6WOc/j3Y90439gqhHylL3/QRx/aO+nADndrG4t02jonO3T+Ru2drz4LdSKAkcd/dw63gtrvPcbu3oMzt0/Jr/sLf0NuRfYI/bHSImmni0CHtB6tHOmUane2jYzGhPbNgK7SXgq0NXCm1MD3NSIkekKPe2m9OWtipdImopUaMt9CoWZ4/xwTwcmVdVqxH2xYVDSVbjbaxBqwIjb3y4ni+G6KfjtrIXT/sfdi6dEyVPoGZcF0iDX19Xli887J0vlxXzKA1Y1pX5K8/oVpozfDuXNeOa0W0gRaWtfHjzz+xmCPnD0znJz6UE1IrMs9b2bNAiKsSkZ1YBiI5YUg+R9KjNxltxaxz/fIT6/LCz//xZ7789S9cL1foRpHCNGdF5HphNedyvXDtnd4PpGaHEfAcUe9H0PC+7NXd8ttfxpy4habuNGsxz3Wl4MyDqkFDsgce1nPeVXxtKCUyD08VKXJoFnrYnRy+ZWoTd6yHDIsvl3yufqGvV5brQl+C06WSLYqyum3NQOGalbrdHzPq/19t+EsqB3oSMGR0gG393VAxGUzAoxPGjpzcmY+U4eGF4WTd06bGUXlSOW6ymKOtiN6m51+NXt/9hv902vHm4I5pjZvJPGC/4XzhgX21jNSKRrnnHiUFwd1WaBS0ddyDUF+rghdkKjvx7eZghBD3891l8uCJ9XXF28ry8sxyeaGvQf4fDWZdFNPQ/WiEx73yNuS93ZhtEXtMEu/NWjNMHOtgRVhWozfn5+sLn69XLmvnyxJNWWuZKK3R+YyI0HsgSdVLpqoLWgpra6y/rBjK9PEzJzPq0yeqG7UoQsk2FxnhH1GE8ZwgFI80PGahYddWrDcuz79wefmFX378d375y7+DCZiitTJPE83hsiws3ViWK4tZVjyOxXiA4XvwskeID3uXdkiFvPrT4aduPSp2rdMFaq1UleA+miHWkwML/SJ47VyolGmilDOlpvjqWGBENv7ODdI25u/W8G7Y9YL3leXlC8v1BWuOdwcJKSEdqBcEUuvGckC+vn52D/t7s8OMBJDSDwduE2xt3XYHKz87tLk4gPxZAXzcpt88Ff7qNY6B6hvP1itfQA7+wH4wb3oEY97/3gH9befLx8U6OF6588CUh8iZ7E2rE0js7oiBidBFkeKRf+xrPLTu0BZ67zQHXQvQs3IxxCm3buW5n+3hT/0aN8PbilunXS9Ya6yXNRyvQysWSurL5MLYvdM3ovJ+6+4hyIfL9X6taFQddjfW1qLEHlhaZ+nG6tARMGi9IdpZe0vuoqJZWl8oTDIjpeK20G3hcr3y049/Zb684FKo88z5w6dQXJ7O8V4d4yix4Gxl0XunLQ28Q3vGrHG9fKGtCz/9+BcuL1+4PC9YU5SJIjPulctSaG68rM7aje7RTmNMHzewuHATvT1G8Xuz2zt2H50ffz5WoGOwNkMNmhQEZSo1UP+2sDfaXrHmrFeht4LIFS0l+zPmXJ5VZ7o58Y57CP66eXQLMaNfL1FEdW1YBzwr47WARoGJ5XPYLJyv7pF5GOmd7YzkuLg+Ru3fn91SleL70X+IOXo05DhKoccPuT4fMlIg2YbrmBr0bQwN/TA/oFJs2/06N21D2zw46KMAJA7j8Kk8kaNA6wH++qZ9R9pxr/a7wbuGQxRP6O58pUfZLT7bVBCUUiaoDquDt6i+WXpgWMuCiNKuL2gpnJ4+UGr2FStlq3YkOV+9N9blilunrxfcjPVywbrR1p4wocatLNEcVgp4iTTQuvbke/nwIdk1zO7uwAF2f0wH78emUlARzIwVp7dgllzWlcWM1YSGYuasywoY4g0ROM1PVK14PTNpoUpFq9BW6LbwfLnwvFyZTydab8zziU8//JFST0xPf0DriXKugeBuKfKAs9vaWD6/4Lbi60/0vvDL57+yLFd+/OuPXF5eKKuhTdFyougnugvPCzSD59VCYLgHrzIzjbvt6P0Ofz9G7zu0seAcXzusWuSclX8ZRUN9jbZuUwEkik3qlOlwa6FJ1zvuK71dQZR1Cc5tmcZ8W7PXXdJJ3IhiJ6Ota6C6LarI27JuSvbiHu1bpIJW0AkXx+h0h9Vb8L2cNxey+/n34YD9PdruJG2OVxbMDVkFh0P9Ldmjcbe9SHEf/3JIKcZeyH6QeyB6dMD2vqmJ8N5IrLABTe4ho/LVMkfZaVdbi7fvRL++w/k6pC02R+Tw8B+clttkZEz6Zk7HaCU9WlWk1KhmuCEKx0maO+16xVqjlHVreBnpnGz3Yj2J9Nn2xTPFaLbflETNRCUV7ckHP8VeD+e0ya8dru/ePkAO5/2w92Ilb2YffeVS8HEZXBOJcajilExlKxHt12wRZGas1ihZJet45v3jIbPWuH75Ql8WihVqnVmvoGWmnifKVEFGYjuQqrY0Ll9egqDcfsb6wsvzZ5b1Gqlzi/hPM3joDs2dq4cmzmLsyIGTRSF50huuf1CW9teVyQ97f3as5soXYtY6oAHHodBaT1SpxFgnGspHkNHBJbmIZLPirDTvCtqCX6OCqWzO15AKciezF/uxiRbEHdV8dkQi7e/GShQ2BdH+mALaT2lwyrasypHm8rD3Y6/ydkeoSQ5vEkYFoWxaXfvHb0LGO6dq29z2fWxPbv62OXfbcRyfkBGWvgaXjs5X7F5u/n5zLA4iY47dx+33DNtfdb788O94SuKEhoOTudq7vWmeXk915RZLCictnM5P0CL6wgxZo9LLWjC0lusVCL7YltbMUN6GtlHKUdgosx/CNsMTLcm/0YIVpZtxbRF5rYOkrGXr97Rd5Deu3OPxf39W80luLdLgq7VcCJwGoEopMziUGg/QXJIh6AFlry+dpQVxf1WlqlGnEkUeWf3483/8GRWlzV8oZaJMPyFl4nSe473qqAyVZ6WtjS+fnzFbaf0z3VY+Xz/TesOlggRyMNWKeWXtzsWcX7rRvHM1i1ZbWzR3e96D6HnT2uMxgP9O7OB4Decr/zKCjdH1YFkXllVYrFKtcFb4cDohraO0vdLWHdYVcGzJSjMJysfWrMQ7zprOXFSMNS8R3E41ujdIyAGFXLBgAg1jpXNpK92MJTs1bBoCww4Zhofj9Xdkr+7fzY0GdtrSeOX4zvuYMn65HffHVOYrG0HHKBTBIyvmI0bdxVXsDedKN3fgzh8Yw3M7OrjvO/k9UM23na8tBx+e3yDC7c4X20SwH9hIs6RHeojCzQxTMM/Pa+rPZnZmj+ITWfBQUvbcnyfvAO6hSNl0laIiIuFLCbE280wz2ugRdbg4Di6+bV+2VM7dxXvAXu/KxvBw7kX6dphZRqQlfvMwmzuY072nlMyEFEGLhGaYpVyJWVZ9QWtRWdt7RXTFbaFUTSQ9Jx0XWuss1ytmjd4XzFsCwKExJhpCq+ZCd0+ejCdXptNxjmXYx6F8tL0RzcPem91nGr/+xzdsRN75b2QJnF6ULpr6XKOh9k6qj4mws5Xp+44IbM/HSILIEE5VVGtWs+cilp/p21eS61Po+mYdO2ZU7gCxseA9/K/3Zl+Zd+6X0zsZk2/dZr9bi3dn6+jM3X0GDkjqV7b7KzsfYNkxLvi14/Xbf75p33S+Svbxsp4QXV4E1RQ2Q2BrfDpynf2whSjdRITeiWasRYNfIMp8mgLSXtueW8UpvYcwoCfEvT3acQWOnq8EbLF9t5RY7tFkjOaNdWl0h2vPLrSUDd6ORXSQoocjeXezv5bvfdhv1q5LzwUmF5oU4iviiDhSQIrTu7N6D5Q2W6b05LH0brg5T9NH5vOZuSinqZIxBb0Z65fgGl4u13SirjHGMg8kR8duKDandozToprmNFNqocxnpE74srKujdUaS7uwAEsuZu2wQO4mr//NOUdyfD/sHZrc/bADX2m79uCrO2yJ+C4xtqkFpkqhMEugVVqj14JIcB6tLVHEZGOhiVFWVKhliv2Ecja1nEEKdZ4QFVpbQ7S6N7o1VnMW69H83Y4aiZLHfUAU/JA+lYfj9f4tIZubSWhYIl4y7vlxXIwfj++/d7zGNvb9vIWvAbtel8CNRNWrudMP319v7H/WMPw+na+Dl7qVfI5QaLP9EDcRtHEDDtHVENlDhZ73xpNkJxroABqR1wiVZORz05MVH+7YIP3r1ttuK1/OBSr0ZIx+mFDIFhz7Yft2/bdDv4M3X53uw37T1nM4Jh56QGpjDA80N0rnI2CIsRNok28pknDWVH3jHkIsQuJEQYd3TG2vdhHYGrnje/TkY/UcvLEc11pBCyYlUjaefc9wGkFQtoTI9/8OtpFNb5/HrUXLI3h4X3aYbPbA/f4evq7eOv4NIq0ySMZmHhIqIrRsNlySdawjs6DHVGNsR3wEKvmSZcCtu4SEe/AQh3hqN6ONnx3c3jrW2wPfVoyHw/WObUekZJvrbt9xI1f6q9PS7mrdvPVIdL0v0riZAgfy9Xqs3ew+fZQt63Xz5q8NyLfSDRtG9pXP3Np39naUm5M8Rl63HuPAlQ/uovjNxeqtZ0+8xkUbEK6QijBNMypRFFnwgAjMQv1eS0RpCR34egURdC44wsXCwbr2aPBpGOa2tRoYCFo4jrszeDyTcToiEvIUm/P3/Rf0Yb8Nu4bPwylo9FSyh6IWKMJqzjVFeNt1wcxptgcHDtkvNCYUJX0m1XSMBCuCnRQmRydD7CDiZylCmduMip7BXwwHbhDnL6XQRbhaVEPa2pJ83zEs5YmT4PVQFsgAACAASURBVPw1pOMr9nC83q+J3NR8vfrx6ILf3+UxxY3mwr11XrohNFRajAuN3rrTFP115zqhGvyxksGnyo5UhBcX82jv4dhfrlFtfl3XEHrNYNcZFI8MdI72lcH7apF92N+Vvb7th1fGjd90v3g15Idz/r1j5Ihpbds5uCq37x20o+8Zh/9jRumv6nx9E5Lb3uQbSnBEuTYoaXMII2a3fE93y44/O3IlIiHJNTYvkqr38YqmL+c9F0WVQ+owEYKssOzpDPrmC+439YZftu1r/1XGvvO4D59+2Duw7h745nCoEXTjmMS4dLOo2krF7daDl9LzQ7VklE8sdCNVYi60Ma5EA6ktgusuEm4mwQ3TgLFCPylJyanUHL3DYhsdWN1Ye/Bj7P9l711+Lcvy/K7P77fW3vuc+4iIjMrsqurs6mq7LIzBMDEDLCQksCwGDDzBYxjADBnExGJi2jLiLzDIYoAlPAB5gASysJAsBGKEkScWtrsNbXd1d1U+I+NxH+ecvdf6/RistR/nxI0bmdXlzLjB/qZunvvYj3XirL3W9/f9vcbODVAVr+PNtrwPjqfvkZG3qHQvJ+eteMfx+kpztIyeeBlmfn2yafk8RdznpCiTjKC4Z1QFrDR+D6HWWqrFqGfvxlxPzuocG2MPU23YPeRUvsenuK+TEsMcGeV+9HI01tdcTevC+yBw18f0TVaeuz7nu9Td+8jRqS/uTubix39/0zVGDnDHqW95Y/fxpRlfz+04RUqOD+/kVHxtNMeZAY5P8uPyTcikpokIURUFYspFAq+S9rIg27R/eJXCBVAnaNkqyQOeDPFSXPC1e43jXQx3WsQWauE4zLnAG1/333LFO4SRiKc8BrQ7WUqWrA9aYlJSiflKSWqboaqMNiWIOIRACEqfhZt9IqgRQypErZScw+tuNNprMZbNa5SgXcBVURytzeWD1Jpf5mSHm2wMBrucGcyQ2mh7GcS8zMYRRtcpJabMYewOM4lj46O5zt0HizF8Y67UfWrFj2sur+0iM8dZ2vI11mY8wkth1MGFAWHoe0SgiULQqvYKuEHO4F7DOpzJleiWq0EyGgqyuOeIY3fOcbbY62Pm9bez4r3E/CnPkeNvOuKO333tSTIXQZ1x/EydGrZyx/e/7GX0LcqXT6++IF+zAfO2GkLjOccETGom4tjXSSnSuEzE6q6VxBcqlDNm4KjUVt5eatWUCsvjOTN5O77WiQE2qSNlQTsiXtN3zlve7Ip3CGPslbnX2PdRGYVMJhWPNtkm7zZeM2vD2JNOS2KGOfTJUK2WvkHO9SFY+PmLK0eZZ/WsGhhM5GucRanWHBtSLmQwZ5L5fGYlYGOM15y8U5+j8avYMSjFMDr6d5he17n7EPGmz+219Pe7Dpqk0DpTTgOfqwFaQx7J2adTQu0IUVRcSGlUz5bk6fW7jvG7b8oyWxLJ07/UQU/7y2uK3ooHgjdYfHd8jOMaNi5ibyZCwvHL+M2b5tN8zEj9J6Pj5Og7i/ke3+5rYZyvX5cm3Eu+xrIOtsiWWj6/R6mXk2p0F0/0kh0pitQ6RhqEGIWAs8EQN2TIU6wCUqqTO8ZcLK0sDlNfPJWiPKBEaUoSIw2ZQMBIlNIU7rm6I6sSMfYvWAbI+WLDru6nsqEtide6gT0UWC5EJ2mpOWRVGSrxgCUgv7R5Hx9HwWW05ssCkCTXfqBOFNBsKEYUpQuxuF9yrrGGJaus91hd5LU1VoloxD3jlooCJlbmeW0RNJiTRkXB51nmzhw0PU29Su3q3jZukOVOc9BoLYtZrrPO2/cW08YhR1vUhNeKs3IHAZp4z5xMMhVQZVRdfZpXR+feNZ4j4uXHf/sGcJ9rLa34/wH8rrVqySe+2WR411e9t5CvuUYX1AfZXxfBFwLZnX7bInVXpUsiqg0xCG0sgfXRe2Qq2e1zUGeVtMdL1mL1jGRIKWoFAkFq/0ZpUAkIhkppRWSWkbHKhFNiYGa9cfkNeKlHJu6lPc2U6XlU8GLFO44xnspgkoVGQpIZMxvHWJZRXxpNF2rgvU/iVsZRMuoJDZGmCWW6ZsMwUk6lnynUmnPhyHL32plB3FDPxf1IwEXm8bwWTH9KvMq1Jle8eC1q6Uc6m1f1YlRyVzwsHOkGC3J1urQezZeFujvRrSNL+S6b/8RKr+rD+EzYNJZaW3HcGk8s/NcI4B1+0DeWxFjxfuFkvTnRWt928p2/lVEwWR5yqjLJ8bPwy4+3OLnxPUd8XXzNbEfqw31yszc9ZItNJ9QGrUECQZQQtMR4idPk2uoil35hJdalPuy1pARLQncspuHm5CGVBcOE4nIsFcUbhSiKxUC20lrIU1HAaq/NWZE/+XdVrc1hX1O+VjwY1KD2VF13DYrK2GDVKuE6ptPTVHArwfJUUiSGidOooRFCq3TnbVFTD5TkjzSUhsPVL6NhVL8CQqmXV+ZxcVsKILXR+/g1kidZjuhIy55E+krAJnpZr+FH1/PpOH6569CKbwenroU5NmL621JgmgR9TlZlf+MPx7Ewk2E9Fmiprux61btUNT8d4xui47/RVnjnm1jxfuBuEjPFqR7zeFgaxW+81inxqufVRdBhSl76OjiuP3bXPX85E/Ot5Kss9/MK7vUdLq3zO/8hoRAoDQRVGlECSqOBNijiGbXiirF+oATSC6UQ5XzN4mbkaN2RxWKRhrKT+bjBYQQqeVIpmWQhMORMsuLuyWNPydH1WN2lUx2oWhJAWbwzX/evhwSXUB/GXFXS8uGOTSDmEPmZsMA4zQs7N6tzTTKIlSDkKMRO6S7aklUbHB8S7BY9Qx1QQTVQHrHahqtmls10qcDqKMY5txBhKcVhvbrXy9jHmmXzWI8J10zCpqd33cgeGu5UECrDWti3R+uwj0kYr13sju/umBI+/0VF6/pX+++xWDLfNvSja/+CCsRC6Fin7vuCO+bBoozVm3n8fbP2dUXVT1+/kXAii9evT8BeP/rt8/6tbsf5UqNq4NUzuAz7HdtPLAhTbWxdFK/S+6sRIWDgpYZRzgO4Te2DRCMiSgjltVTSr0y0Mq9SN8nAU4nnsqKa2di93HOp05qr8qCl43gQpwmhFv4r2WbZl9U96vBPV67FqrMuAg8HNqpcpThWaegrUjMHtcRr1Xkz4uhhH40MZ2pFN2SHPiM60O0HzJz9PtWAeSG7TmqaVCZUEnelWmEnbpvxvjC59KcRHD23p5PQp314SoaR2bpzvLz/+p7CUb2oFe86ZhddeZWjCTOuwacLe7FS5zX5ZNM5tfzvjA9ZvE4C60j77t5Ixr67Y4Hh5f1PDiwvvnxfx38/3mJledqKB4o3U5DJnHjrFY4NjbIOHk3txU1mwsU3CNO+Z5Ld8ZhNQs3puUdq9Ntv/LXcjkd1tX1OKz7if9U6GsmShhJ4HLUjSKBVp6GQJnJfaiulhFDIkagizQbVQLs5I8SGJiohjIUpi+swp1KRPKUDbomhv8FzJvWp1kZKOBmzgGRFYkSblihCF51sGfPSbggrm9TrfOtkGRCY2xOseAjIlIfSrNTzGhsFeyUw2UuZibHnHFBLRFA/ZuMoTkWFQ5+4PRxKIV9pSxbkfijZj0mP4iPVahsjhRAEM6kEsFQMX/C7hXun4HXixSKGef6/20wuzecYt2V1F5HSj3Ldwx4O3rx417/c6UK5m/h8Pat/YVnK4utkGKd72d0FfOWOHff4F6eGxulRsthLVjxcnGpI8yy4Y7KdiElTu6mT650+G+MaesqBlnN1GQn1C+qwy9l7MqL7j74Pb1G+6i1k/sVdKc7Hqtfo8lNUlCDUmjGO1k2iZE+WfowqSogR1UBsNmgIxE1XfhcUDeN1BTXDNeMeSgF6i6CFjLn0WDJSsnJ9qTuhWekZKV4yxEQIGiYSqf6Gfyr3qsiVZU3kqDHCinccY1LFSGjMa1srEUbXzWsf/FKKOrLMxnp1gkrATRiGXELDsp7EPhaZrBCxEmRvJpjlqtgu2hbV27jPdH/qwV0lstEJv3TFj9+Nb4WTOSzLRQ3mDLQVDwJHHoeTj+2+ZX36mN8S37K8pJ/+4vRHef3vy3HOPRlPSB/H/GpyXiyue1r792QPvS+EbMUDw7SPjj8vPth52T39sI9nqp+scncds5xjwv3PwXQlOX6uCqE7rVYnE9HzxXl/GHw95etE0nsd9QkVQUNARImhBNg3KkRxohlqpRpyTo7GSNN1aIy02y0hRNqukq+uLdcZg65GNaGSKdwJVup6qV3gljlc35CHxO76hqHv6wZoePZSdiAIsQkoAQ8d2R33oWzKbjNLvuN9F5fougo8NJQWJ2AuSHbMbWoKP25w4jIpVtPvasLFfKEx+7Up7vQs7K96SkZjyzj/y75XI7h8VNUGcspIbRIEjsgYpzWTo8mCO1qCTmfl6TIlSDFppvdb3PVhJmwuNQ5tVW0fKo5VA+ANyhGwcP1xtDv8YdpMCaMa5ZNNO89In1yPU0LLPf6e14id3/G3pfv9Fx71incVR1ng3Ov0e33u333FxetxGpUvfnvXVe7TrvzkmNds9TsSDr8Jvl6F++lGrw9oiWVz37EZ9mjxCCdPbTmhqmShbHi1jZCqlmyxE3LrZiVDzA2pCoNICbRXDbjayRhGxaAUX12Oc1xQ3rYpHVlfqxn2YLGUoGfx+w22kZRiq/MJywd3VLbmx1NqzOKxpD7fuGTvMv311KI/VQnqEE6u8c0gS/VuoVCseGhYKLCLOTnFEc5/ffMVliTsa50xK1W/dIzPwT0biZ/+sE7dhwM5evlax7726ztU1G96kXHFvotyfdPp9M/KAJB3qQ6QiPyHwL8H/EvAf+fu/179/b8K/BXgT1Hkg/8N+Avu/sl3MtAVK05wz9z9F4D/FvhJPfTvUebuP/wOhrlixWt409w9OeYvAX8Z+LPu/ne+1QGuWPEe4l1Lg/o58J8D/83J7z8A/mvgN4AfA1fAX/9WR7Zixf1409z9OfDvAE+BD4H/Cfjvv92hrVhxL940dwEQkZ8Afx5Yjd0VK35J+Npux28D7v4/AIjIvwL82uL3f3t5nIj8VeB//3ZHt2LFm3HP3H0BvKh/E4py+8e+izGuWHEX3jR3F/gvgb8I/Fff5rhWrHif8U6Rr2+Afx34B9/1IFas+LoQkRfABUVt/kvf8XBWrPhaEJE/Dxzc/X9e4wZXrPjl4cGRLxH5lymb15/7rseyYsXXhbs/EZFz4N8Ffvpdj2fFirdBRC6B/wL4s9/1WFaseN/woMiXiPwx4G8D/5G7/x/f9XhWrPgmcPcbEflrwBci8ifc/fPvekwrVtyD3wT+hrv/7nc8jhUr3ju8awH3b4SI/Bj4O8Bfcfe/8V2PZ8WKXxAKnAEff9cDWbHiLfgzwF8QkU9F5FPgR8DfFJG/+B2Pa8WKB493SvkSkUgZUwCCiGyABHwf+F+Bv+ruf+07HOKKFXfinrn7bwBfAn8fOKdklT0H/tF3NNQVK45wz9z9M0CzOPT/Av4TivdhxYoVfwi8a3W+fhP4z05+/Zcpdc5+E7hZ/sHdL76Vga1Y8RbcM3f/AaVG3a8BO+DvAv+pu//9b3WAK1a8AW+au+7+myfH/S7w7691vlas+MPjnSJfK1asWLFixYoV7zseTMzXihUrVqxYsWLF+4CVfK1YsWLFihUrVnyLWMnXihUrVqxYsWLFt4iVfK1YsWLFihUrVnyLuLfUxF//j/8DB4Fmi4eAR8eCYSFhIbH3gRsbuDkkPn+5Jycn7zNBhKcX52zahstHF3RdS7tpabuGplGaTglBCA2YGYe+x9zLlzm3u54hGW4CLjQaaSTggDvsh4Hnuz2EwPbpE0SE/auX5GGgQQgOljKWjDQMDH1PUGgbQVSQCOZwe5tI2bnaZfrkmJTGe3jCfcD6PXZ7jRiogSD8zf/x/1x7bDwA/Fv/9p9zATpVgiqtjJO9JJgkdxKOUT7zMe3EAQOcORFFRFBVRBTVgJuTc8bdcTPcqV++eB2vUKaLBEWCEkIgxoiIMHZrSSlhZljOuBsaAqqBNja0saWJgbOuRQWCOuaZ290NKWcGK3O5ac5o4gaRMt6UBvr+lpQS+8Mt7s7/8rf+1jp3HwCefXnjALFRVIXNpqFpwhuPn3OmnHkmCw68unrF9c0Nn3/6CT//g9/n9nbg5cs9Q8rs+x4wNtFRdRpJRHGePvqAy7NzPv61n/CrH/+E5/2BT3a3vHr5JT/73X8IuecyZqJAF0BxboYDhzxwyJnejMNBOByE2+sdzz7/iqHvub6+wXImpYyZY2bg0MRADIEYG2LTsG0Cj9uGH378A/61f/NPs91u+Mmf/NPr3F3xXuFe8pURWPTzGjcTL5wIdzC3abMBR0VQKRueitStx8ENs4zVDcpcCGjZm1QQo1xQ/Ohu43qy7CsmooDU39U7CCCOuNSNrY59PK8eO119HIf5tHg5Ui5XLjZttiIQGN/LioeEQtgdF1nQqWOMn6uLTDuZsNjG6hwa55XLm650evNiu7A4/3hkcvTssKBry2l7NO8q05vOcfD6MLobZd5CoZAsnqcVDwUjMZ/WsW+I5SfuIqCKhICGQAiGakB1nI+KqE1rqVPW9JQzQ0r0w8AwJNKQJoMDqnFRHxIXnw0P6jWP3k/53+k7EWQyco5m6WjMLL5fseJ9w73k61XsgKoMmNEGJbaKh4QHOBwGdocb9r2RU0YJXJyd02rg6fmWronEKAiZ3A+kwRkGZUhK2zWEZgMitJumkLLDHk9OYWIGJmCCihNRRAIhNOCZJgQ8KGiDi+EYLgmNLY0qFpQQARGylWtmtbJQmJGzcXXoGQantxYjYCK4CCEEgigxRLq2JSB03qz06wFhpOVFyXKyM20AAuWzrgQ+BsWBlHM51x1H0LoBagiIKqqFjJMgkZjI0mJaFDJfiJC7VwIvSIAQtB6bMaOqZrOKpkJRt+pr1PIV1FHPiBfVy8ywZGQzshflK6U97kPZsFUxy0BGxIlNWHewB4Tzi7LujgRJ9ZusO5O5W17bFlOh2T/hcneg2fTAnkPf49evAGPTOCpGHm7Jlnhxe82r/Q07Gr68yexT5uqQOPQ37PcJxeibhAenESEA/WDsB8Nkg0iHsAe7QTEaFVxBRTFxxHN5DnU0csuYDScDgxmHITEMhnmDe/Pau1yx4qHjXvK1lxISlt1xykaCyqQyZTeSpUJu3BAJtDHSxYauaehiKJa3O9kS2TOIgioawbwtVlhQ8GKpe3X6UH/C6ileHt4okahC0IiJ4pRN1KWOUcvmowEQQVPZOJHycDteLDs3BjN6c8wFQ3G0Sg1lMYoqdCgRZSvtSr4eEmTchKrCKYK4T0qSL9QoVeW03p0wKw9Lt+NSjfDxwKNzfVKz3K3OGV+oGUWJw4vL3b26X6oSJlqO03q8agnMlFHpMiukzRy3+b7mGbIhqshCCRNAVVbu9YAQQlmvCueSI3J/P44PdBwPAQRC17E5OwOL9JtiyN4c9rhlQjQEIyXBgEMayty5uSbxgmTOfnByPuB5vk3VwAppMiclkNggugXSuDJXo6I8eHIyUhkfSKmGkjvmFMPCHDMwW9fdFe8f7iVfP72+AoSmbVAVun0iZkHkANIXWdoCqLA9i7Ta8GR7QaeB8xhopKgJ2b1aPSAEhIhZQ5+0qFsu5AzXN0OJf0mACWLl8Q6WCQwEh1YCCSMGYRBnf+gxjGwKNCTT4mlxRVAIDdoJ5plkfSFeVgllE8pmZw3iAaQQy3GDDRgtRoOwXR2PDw7jYu4AZpgIWhWtyYWOTGrV5OKu507ka1QTvGwy2e3IfT25SU59Jyziv8wWrhmKQZKtnl9/GQRcUZQgQqOBNgSCCFEB86LO5YzVODEfDYucy/Nlx+TQzUhpGdW24l3HZ8+vUBUeXxTvAZzSqvuxPLZVxUXoLi95HBsOt4mb857rmxuyZfphzzBckW3gkAZy6qe5arev6NNA02zoNufERviofUKMcPHIQTLPdi/Zp4GbHva7wGb7PdrwK0T9jCbuyE2maZXsxaj1GmaCSyFkFONgmrNuZIPBM7v9NV998TO6Tcsf50/9cv5xV6x4R3Av+fpyv0dVOVOIMdAniO4IAyJDfUiLFdW2HV1o2HYdnSqdQMSxnDAvipRKKCSHiLuSrMYZZCEl2B0yOWUCitYtT3HEDcmJIErwTHAIKmScISUyBi6IBLIL4lLPF9CAxOK+zJ4xFwbPmAOhBD5jsZBAZitMBbQ4I4kIjetKvh4UCoUyH8VMn5QqH+fGqEv5Qq2aXInlGJGqhlbuUmIcy/dzTIpP5GuO3xpRlC1ZqGuFFI0Bx4s4r0W8okqJmQzj13jVIgXg2cr5U6yOT9ef4h3rexsVthUPA69uDwRVzrcdbfN24nWqjC0/6iiKi6ObLaHt6LtMFwaaJvLsyy9RjEPvZMuknEg54VbiCL3fk/KBc7nkPHRsJPKBnNG0yvmlkCXzRbpllxOHrAyD0nUXKE8Jck3QUL6ioGlcW8teUIwcYRnfNsYGO5Ac+qHn+vo5Q7+6HVe8f7iXfKWUUBVyDiX+JRZaFLQhqEJwhBLAGbSl1UAMZdMw9xqPojXuWKvqEAlExAN5CLgqZkrKAcsRy0IMoW5ACZGM42TPiA2QhcEcS1bvYSQcMUMcBnEMq8H+40YpCIEoLUkynjI5Z4ZDLi5TwFE0RESVRoSoSnADz7iXLrNrXY6HhtE/UpzZxXUnqMJIwViQJV8QNGoslVgh/9SAffcaq1WJk/sy23F53/HeMl3viLW5T2Re6yYUQkPQ4rpvm0gby+allPvY6HKs7lPVEqPoqseksF7fKa7NSdlb8SBw8eisKJ9NeD3h4mtiPCfUialQXOetEB4pMTi/+sOPubm9ZfjE2R1uOfQ3oFbXbJnynzwn0uEWDy1NG2iJNGwAJaXAMCgiiRgyOX/O4XAg5a8Y8p4sGdotmgMhHnBP4EOZ/6JH7n2vyVyGk9zY9Xu++OLzezM9V6x4qLg/2zEnzKS6NKpLRJSokagR1bKRBQ00sSGKEFEUsFzjWlwxl0K+RAk0KBG3gKUS5J5MyFnIORb/fgg15sVQKZtcpuTUuzvJqZa/k1Om5nghCAOQBVQMrQ93IX3FxehWlDZLQjqUeDVVLXFlAYIqob4ndYMsOHbkalrx8DB+dja5FwWRma3MpSEqZMGVlhlesCBeiywvr1mHiwtMP43q2CJGC/eaiFjnpghBG2KINJV8xVCCrWVyW86ZxSJSnrMSlV3ivBbvwCfyVdybKx4Ozi82RfVU+UMZfOIQrLyqlHjC2ELXBpoYSH3k+vqWZ89vSTki4VM8Gy6K13hfJvK1wxujaVoahCgBQ8lV8RIxQki4PaM/vCD5nsQeQ5Bmg2RFY4t6MYpH42POWJcpOcbdSBi7/sCzr74kxtXsXfH+4V7y1Yby0LYKjcImCF1Q2qi0sQYHKyWjS7S4RsaASa/KFOVVXUrQvDuRMQOtKBFulKxGSnDoWEoCEVxLTM5Ye6kQoRrg707jhjpkL5ZTqq7DIIqKl0gt0brZOcGFTeyIkvEWUjZcSryXSlkCyt3LPQwj42QZx7viIeAutWB0ExZv3THxKi5Kn08WELGaOl9OHGO1nEKGyo8zmSs7FYszxk1PJ7JUDymKQiVooR7ThFrvKERiCOiYwm+G55LlmEcVLyjq5bbjrFzGps3qWjE+TqjlincYndZ16BeUvab5J1P+0OI6c5zVpotY7vjgySPaNkD8iH3fst8Zw2B0ChuFbdtyebZlExvy5owhBkhlHn7/7CmPm0fchFccNnv2/S2HYY/SoLqhIaDSote3hC+v8GyoxrJ+V3/pmLE7jU6KAe8O+0NChzXcY8X7h3vJ1zaWoMhtgCY451HYRKXrGrqmEBYKr6kuGsBK2nzvVshLdZOoF8djAKLXB868bILuFM9OnNSq8SEEwVRINfg+UzIVsYya01q51sFKXbIBwSjlKYIqY4EI9eI2jCjnzQYLTjQt7kcvG69rIXc6BVFnrNK+XmyN+HpAWOQjjnH00/cyumIqKR9VrVPyRc1SnP2Js3tyPGcMti/fzGlgk0uxGiZCrWU3X7qGGBYXt6rShkiMDW0s5AvPuCUsGymlEvBP3VRDKMpXfS8iMpX08pHhOWBlE1/thoeDbRV6finrzUjATn4dgnB+1hCD8oOPPmS3vyBsB24PT3j58orb2z1nAmfinG86Prg4R2JD6s5IlDJDQYTfePRDYoh8sv2Sl/sbnr36Gf3VSzQ8IYYPCU1L3JwR2xc0P/sMktHG6sqnTNFDNgyfwgJGN6QZXN/0fKNKGytWPBDcr3w1JX6rbYQ2Cl1UNo3ShqKK+Zgi7KVoKuJIZWOC4yVHvhCrACqOjDW85rQvoGwcUxD0KA3AHDqjJSC5PJ9jUDJEdcQgSQlingKoRUqWpQt5jP3yMRg5zKqAFDWuBCxn3HO9YVFHghZlopW4kq+HhCm4fY6zqjrrlMk4FyqdK9MXFBVrPEaWF+Au4lXOkfFcYXINjkH7iyiw6aTR7aI61nQyhIxlSmyiG26p1KUbM9BG1ydFPTazqXAx1PEu3KXjPX+RYp0rvhtMqixjnOJbTzj5ub6Oa2oJrDo+TGrtuUbYbFskCJf2hNi2BNlwttmzFWcrsO1aHp1tS1xGU2qQiSVUhG77iKCBLh/YqHKZHyPSo+2HaPfDUuC1CcQ80ISIqRblmdk17l5CSubSLtT1vWYn/yH+LVeseFdxL/m62EZUhMtNSXl/tFW2ndIEJca6+LtX14zgrliNjSytgRzLgrsRkJK5KGNbFgWx6rIsvpOA4KKLmICKcedymeJqghZnirhj4lPg/FBbVuRxhxqtf4fgxaUZYsmeKeOBTC7uTCtKnYRC7DSGEh8RAmexWTewh4QphmsmK0yvhaSMbr0y3XxyfRRLQCohqr8ar7WIrD8OsF++juSuuuTHit+LGBUXtQAAIABJREFUc4WiPqhIie0SQUmAlcK//egKHd2b5XVU56yOJeVMNkPQ4/m52LR1IporHgbGGL0afnH60S1thLemQr6BeCtICzEqT753QUpOc35GnzKp35HTgU6cTp0mRDZNC1LCOwo5KmSpbS5AlMumQfbXXJxFcn/O5uLXOH/8R0k2cMg3fN4EfrfrsMOewwCWR6PBccvFDamBIKGEiYTSJaXRcFIvf8WK9wP3kq+x0nYQn79wAkaokSTFStOaDSal6rxDtrphiBbli8qf1Kdip0yh8l6Vr+NYldEtM2K5nYrUzVPGsQomtaCf1/iweq1xzzMbCV3ChVpZ3GqmmFW/6ay4qTghQAxC14apLs2Kdx+T663+NP+/qlrjzxMfetNnOweyl+nk0+tr5yyDbRiJm8yC2fKwsVjrxO4q0TJftOxaUMdxTi/e31RGwub2MKOLyaq7dFQY1pn7cHC85jGtiXNiR026UCE0Oi9Zp9PxjvXKzbFcipj2h4RlZ9gblg12A5IyMuzR1ONS4l3LorrHnRr3WtZuEeHQ9YgGfBhoJNB2Z0jjdOcXnJ11DFnQvmfTNHRNpI+RodbU9km1LeuvomPllOnd29ILsmLFe4R7yVejheA0YjQCjQ80RinFkHXq8SgholEQjUjcFD/+0JPdyLmmwY/p+VTrvQbAqBXFS734+N0pWYbU2vXz3lfdMEXZCmp4laXNhDYUpcKSEXBy9jmOoFYEz7ksYOngVbUrLWI8eDEwY2GbGp0QhdhA18C2VZ5ebEt5jRUPChNhfy1uayZjlf4XbXbJh8YD61nj/JwzI8cYleUdlyqYYC6Mnmyo7hQtStdYILWk1xspDyXbzEaFa96JpiKUY8BYrYpvw4CZo1HQUGLLVOQopmap/K14CBhLK9TPPDuey/qVkzPk0nOxaSMXj7aldMrXZNd5gMONcdgdeP7Fc3I/ILtbPCWGwx7LiWE4lGKrOWE5kXMiD0Ntil3qO6bcg0BzdkHsWr7/4z/C5dOnnD/+PtuLLdq16KZh6OH2esNhu+HD83Oa1GPDSw5khpxJY906M2JQQqC2iyudRw5rou6K9xT3ki9qo143w7VYKlgufvwaP1XKGDmh7hOh9snrsyAmtWm2LCobz8pS9STWivSL2JqReNUNERlJmNf2LFZjyRwzndqxlBZEUsciVXPwyZryeo1JWWAkeaWHS2lLJIRALTcx99qLoaR+r3gYWBY0XdSMmP9e/zfpYHWOjHFbUknOFBvmi/Om60udj85sJYzMba6Mv1TPlvc3HEXItQ2QLcpJ2Bivw4INzm+ulJ84yWoUqqNKZgVs9qSu9Ovh4O3rzDf5NJfzJPWJ/fWe/c2em6+ek/sevblGciL3B8wSaejJecBSIueBnBJD32OWyWnAFuRr2O+Ibcvw9APypkXOOxotLd1EwYMQY6CJsbacKyVUUh5Lvcx67tKgGZ+PVPegFSveN9xLvvr9ARXoPUJSBnF6y6hHGiJCydISHMkZQQm192MpjDoGCmcmz46GKdBYKMX8zMDECSU0nqn+uATQSGiKvK5qaMh47hn211gy9reZ0qqiJYjSSEmjNhxXAauVxafCrAK1h5nVvTJ2EY1K6CLaKEGMoJlOnChWfiYR1tDPB4OxLMhEOu7areqeNBEtKomaOM+Jy3FyAo6xWAtlysvcKEHzi81CtPQW9bELnpNrxHEemM5BivuFiciN5KsYHz4RsDIedZuSVKJo+QphGlGmqGdjZueKhwsJtaxPhNA60ZXOS8s3/Zr1R+2QSbeZV59/zs9/+x9z++oVn//eT7HDnvbqCsmZYFabt9fAEC8eAxvXcYrxXaMRAdhHhRD49PorXj15jP/zf5zNH/0jhIsnxPA9AsrZ2ZaLiwueXDyBIXN18wV4z66vRo5WLwpCzl4sCBWywd7SqtqueC9xL/mynEGEnK0s5osK25NTRMZYrRoHUCKy6ka12LIWrpximddGxb7cb2YlamrtokqIkdhGQjRik8lDEeDqKIuktQhknkQ2KKUw6iGixc0pWlSycZOLQdFQCg+GJqKSURWi59Jue3qPqwb+oDDO07v410i8oM7YkfAwT+xJ+ZqvdXyhJXurV1uGgsnM5YrCK9NTMcXwMLrgfX6OKvEbNQCfRsk8z6t0p4xFhCed7LWvFQ8NcvzdGN7B7CQ/5lyzK32hdR4dYYORdz391Q3Xzz7n9uVLbr78BNsfSNdXaMpEarysHCtR5sVsOHViuzi5kqf98xZPew4vP2K4/h7EjjDkEjgfAiFEYuyIsa29HI9HeNSsvt6iGPBrhboV7yfuJV/7VNOJu0hQJbcttmnxNpavIixRshAzZEj7WwwBS4S6sWgtNzGiLCjCaLZJoDQ+HkohyRC70rJos0WblrMPHnP+wSOaDjbnwu3VV3z+0wPDzZ59vmEYnCEpZsbgXjMdM06eLX+Xms02pzNrfdIbSiLBNihtDLRNpGsgitGKEaVUuV8rfb0/GKm6j4HvHGdxjenu1OOMYpAbQI01LH85nhMz4akK7mSU1LuOu4svwuePlCmZ6oJNA3Wf8t+OjAyRWky43nNhGC37PIavK4+seDch9/4IOJ76amWWJuoSNqABHwxPxu3nX/HqD77k+ac/5cVPf5vh5gZ//gWSEpKK4lViD+WI5JX7jeb0UgcuBkAEsEx+/oz99Qs+jXD74guefPxH+PAnCeku4PIjdofIrnvEbdfzMhk3+54+lTIqKgFVJdR5X8J0y4zvalzkihXvG+7v7WhGECEDuQYIewh4DHjURfBv5Tdm2DAUF0ndyMYwr7n7yexWGY8bHy6TUlG+tPoRtGkI7Yb2/JLN46d0Z8L2MmDB4ZMWOwwMbgxmDDljVhqyFpdTppRdpQQfu2CT23CM9BkrgEPAaQRaFbYxsGmVUJMNhLm9y4qHCT/6fmQrC2t7nMujirT0HI5K1B11s5b/n45fvI5zbB7FcvtibvhdzyiPhNRc4nLknCtwrAHMdcKq4mZzC6yxzhi+UIFXPCAcz5MRcsfvintwqOR7KJ+5NogrngzrM/31LbfPvmL31TP2L74k73ewv0bMgFowe1Jxl9GKXg2PMg+PVkApyVK4Y7sdtjeuv/iMIR/QZsvlhz9EzgRtv8eQhBQ2pNhxMDhYJlc3+7QNyPI9lfkbj9MfV6x4b3Av+XIpvRcHNyQnboYDFgwLLR4b2qB0MSCuqEdEA9psQYQ+J8yNIdXGvlP/CC0kTmQqEtn7QLaMsQd1ms2Wtok0FxvC9pyw3TLEDfsBvnoBr541/P5nG9Ktkw5GHoz9IZdsoHJVghpBS0kKwTCDPKRiHKaiQARyWVz6W0QFho7cNejFlo4tEpXQRswy+8NhrZX0gDCpq+MPR67HJT1a/ljJjxsy1TOqZEgKebfaZHsshCl+cq2Rjo0GyHT708DiSq5kbv2j0/Fj1GP5izIXVy22i9DW/qdjOZjT7Wm+L4vszBUPEdky5lZVzlJaws3pc+Zm6MnDgf7qc7DERo2gwnb7A2I85/b5FfurG776vd/hi3/6D9m9eIZdXUEaaCmxGGM7tTn28Ti2VRhbcM1dFMbJNT9nCi6k6x0pZVR+B8s9mw8+5tGvRzDh4yff41HbsHv5Y15eXfDl519we3tb4m+r0kUYg+2LUbzO2xXvK95KvlworX0ss08DPjihLQ1bNTR0IaAokYhqpNluAYF+T7aMm5KsxI75aN6IFNrjJSh/yD1mCaNH1Gka6DaB9qwjnG3xbkPSll1yXt0aL19FPv+qxQ9G1zvkzKG/Kan6knExmuDzRlprKKVkJWV7yOBOxFCcZKW4ZbAe+oZOHesiSEuQgLnRV5foioeBo1pJlQi9mTuPSi11UylzZ+zFWJSjMQlkJldj9fC5DFGN0zpSxepFGHWvOdJsjOgabz7dE44GO2YET65ExpZEUmO+5utPV67nzNRu3cYeJrxkGVr1CKjgVkpPDEPi1e2e4XDD7bMvEOt51EIbAtEeIW3L7sUV18+e8/KzP+D5J/+YdLPHbm+qy3DOyJ2MiUX84kIXrsKwL4dVn4HxkJIYMtweSLd73BL98IrLj/a0Z7+OdGd8ePmY867h2Yc/pGkbXr264XZ/wGqR1ey1ifwi/us4jm3FivcH95eaGEtJxEBolNg1NJuG0DZoEyCWwqYi4KKYCH1KmMNhGMiWSGY1x6ta4J6LpYMwOGQS2XrA6M4CMSjtRUfTtcQuEGOVw5NDimAtGoTDk3+OtN+RXn1BTntSVjQdSLbHGEpmpBhBlRjARAmN1Zpexdo7i2XzyjZglkuZDHf6IXF9e6CviQY5Z3ZDnuqUrXhIWBChNxGwWtF+CrPyOZtxDvsa/ecjxbkz8mY6Xyikb7z73MqIO8+d64kJY4eH6jNnLC1RD2BsuhxEj0pIlHvOoxsbKovbun09SJSV8mb3itv9juAB9QBmSDZuU+KL3S2WDnAo2djSXqLS0u8yefeKl5/9nBeffMLVZ5/Sv7qFfiD66fzzabot7IhJ2Rod4Hf5PI+iFb04zIMYtk/sn9+gfMbzs/+beP6I7fd/g06VX336MY/On3LYO9vNM169fMbu5grREoNZnpRyZ5ujVFaseK/wFuWrpDhrE9A20Gxaum0hRdqUIlhZvPS/Doq5MAyJ7M5hGNWsVGICqusjW8as/JwA80TiQAiwvWhp28jmsqPtOmIT0VBl8cFockNrj9nEC8LTDzjsbnie/l/6/pqcnSHcQl/Soos7xmlC6UvpUmPBzAnqRIHHXUtU4ZAOZMsccmLwzKFP2M2OZkgMNdW6H4Z1A3tweJ0kTXW5Tg6ZsnahlEZZ7DciUpovLup93Y3jmK4xZPlINZjI1+vjKn+rFevrzjeOy7Dp3ooQtLRfOYrzGsdKjdFRrzE9Kx4mSq/Zq5sXvHj1Ah8UBiWYEc24zgOfHXZgzrk7XWiQ86cE2dDfXGPDNc9//nt8/ru/Q//sC/oXVwSEruqrsxI7YzZVjpnWOA9HNcrHp2Wa4AWKIK7kXeKw68l7w3LP9sn3ODtv2Jw95ke/8mN6GvoBzs8/4/fN6fd7XMasSqbxmc+ZyCtWvE+4l3wNllCEw+A4gcE2JKDPBoMz4BzcaSPodltUo1zIVXZwFCeUh6rWismWi3uQUkRPFDZdR2wC2/MzmraB5pykW4JcIHpO8DNC3mApoENC3Hm0CexpOGy3BDWG4RwQch5whBAyMWZCKM2xzTJmA4qwiYFGhI3WgE4NJCC5kXKJUeuHVApfVDUsmb22UK14dzH2AF3KQbMFX1Ss0eV32oZlLC1hlWxJzRrxGmsjo4w2Hn+yYcwBZn5stS9Ur9eDpueWRyNZmzPMfJHFWPyJXtP/p82yxqZN6l29jqqs9ekeLErUU2w62s0Zh3zgkHvUnJCcPhuSta5pDZvQEIlIFq6fv2B//ZLbZ89Ir17g+z0BKQHy45x0qs66dCfWldlLf9sJdXLOjd3r7KzPwnjo2KBt7BhhQ6a/vkJEefnFz2nOb+jiI7TZ8vTygiYK11X5GnLPkA9Tz8dpFq+xtiveQ7yl1MSh7FM7IQ7K5nJL3G5IfWY/OD4MWN9zvj0jNhfgzr7PtTo3IAoSiteQnuTGkAcOw67Et6jTxo7LR09pu47H33uKNi27fElPSxM+QuSSaC2b1OFDxvZ7tgTOL1v2m5Y0PGK3b0h5QHVbykn0LW1MtE0maqbVTMo92QYagUebllaVC4zgTgyBQZXkzmDOkJ1D6tGUCCmV53+tbv8AISeBUNNvYfrVXNSXxe/dHc/V/ZdhrFgvoqUF1vLSc+BL2chkJkviXjexZQajvEa+RndiuVTZwnwiYLU862jQeKn8HbzGfI2ZAYs3J3VbDRIKeVwNhweIUmZhs70kh4b94XOu0wskCdIr2QTNDV1seLx5xCY2tN4hvfHl7/+MZ5/+Hv3P/inDFz8nOHQs5gkLT/oU2l7U1UkZltLVY1S4yqMwduWt3U/qtQJF9aqlWCkzMGB9YvfsGYeba/ae6C4e84Nuw+byKb/+0Q+g+RG761fsdjtud6+4vi0G+pASs7S2YsX7h3vJVxcDItA1SoyBNkaiBoIooT64ZhA0liBQHxulUloQUXrbAaTk9CmTciJbIkQhtIHYBdpNS9N2pTekxFKt3jvIHW4dliJDUnxI+KEE1VtjiGU2bYsAt90FEBmGfW2gvS9tMAwQIydjyAYqHHLGLROLLseBotQldzL11QxLJSYNqRvsyr8eEF6TnBaB8XPY+3yczMHGtQiwybHWKVI7OoiiGidiNN1DmNSCsUq4SlUQfNQHBJeqRE2TqlxDxx3OtVYRnsubLMoaTwVYx7ZGxd1Yxnc0nvqqa7r+w8LoKq5qpoaGJhrtZsv2/AySQKN4FppBaUNkEzsahMPNFfnQc3j1nOHVS+ywR6rrTmR0N9Y5XtuqaVXDHK+GhJaCwG5kz6W6vioiQhOqMW1l/mUb64qVZyM0LRKbYnijuA3kdItHJR96hnBLf/McDUL76CNC0xCbltB0aB9LLT2fn9V11q54X3Ev+froYoOKsDnvaJrI5facTbshBiUGRbIhnZV2PqmSr1xE7BDKA5izYObc7hO7/Q6THcYNZ92G8ydbNtsNl997QowdKhvwhpYL3M/Q/jE5P2K3N/Z7w9MOP1zhwaBzJEQ+ePQEc0U5Z7c/IB64uX1J33/Ffl+awJrtsTyQ+kQQZ8g9EeFMqrAfAi7CzjJ9TeHuUynS6ocif5ussTMPGXdoTQUL74ZUg6EEDFZiY7VAqkOMkRiaWq27BYo728WLuiRlk0JkLg8QAlG1KmmVBE5FXfVocxmD5G04kNNAzgNDOpTNsjIs0VKTyatbdKxJprWSuLmVZAFzcCtFVmvboRUPBEMqbDoGEKWNW0Q7nn5POX98hiUlDwHtoblxggsbAvmw52e/+9vcPH/Gi3/y2+yefUqbB1pAJCDS4GTwARElxLYQshBxEfomYKqIdqANeX+F7a+ITSRuO5qm4/ziCW6w25Wej/vdC3IeaM63NF3D+Uc/YPvBh8X4VmXY7dl99Zx+f8PLZz8j7w+8/Plvcbh5wvmHv0bT/gpxe0Y8vyQcblCH4DA171o9DiveU9xLvrZNRETYxFg2Hi3xBTr+J4KG6rKp1bXHUvZmGcTJmVJ/y63GeAkhREITa9ZkC6HBJeI04BExLU25s+FpwIcEQ8bSDk+3peApGW1auu4CJdI2EXPoug1DOpBzy5AajIFkipmSq8umNyNT4nGClDgelJJ96bVJUt3gpnbfr2UIrXinceSF8+n7hfiFUPuQenU8Tp9xbeaOMRafHJUlDaUat4ZQMxLrFYNOBK5kCQviJdtWVOdG2GNsFlVNWA7Zi5vSNaCaa9N4LUWCq8tIxor8SzfjFOd18t+Ywrb0ua545zH0aVJfPZQeh9lKD9xs1MbWmQalaRpCBvqM9QP761fsXr3Ahj3qiaZtaMMGkYjQ1EbZN2iIdN15UXC7LR4CTRvJIYC3iEcGgcEONNsN3eUZbXfG2eVHuAnS9qShJ9kAaU/YbIldS3f5mLMPPpwsidhukBzQ2HHz8jlOIg+J1B9wt1KjrraRG/2gQi25Ms71de6ueA9xL/n64eUFSMl2lDHrMKWy39R4k0gozVbzUIhXzb46pB5zZz8kUjZQI26g256zOXtMe7ahvbxE4parfIZay5ZHBI+EHiQf8P3neC/Y4YAdenK6Jh+ek8kc6AlxwwU9IZ5xfvaUs7Mz4AO2Zy3PXzp+JewOLUMWLAxkGiDT2wHBiDji9UEfu2xTCsASiwQ+VSCQdQl4SAg6kuY5jR4q4WIkYj4RLveSDSsynqslZNFHo8KREAixQVWLW0WLyx1mC93HAGQdY7bqzwI6PW11QxknV41t8Vzc9ogiIdZBFfcjZFBBYyzth6obqLiEBCNjqVQNN7dajdxRB50boa54APjy5y8gKPHDJ8im5Xaf6IfE1asrrq9fkIZr+v1LnmwvufzwR7g7V19esXvxis/+6W9x89XnnIU9lx9s+N4PfsTl0+/jqcVTy2H3nJvnP6VtN3z49GOa7TntD36MbLb4WYuHwOGlMdwYrz79R1x9+ltcfPgBT3/8A9rtB5w9+aOQA4eXmcPtLX/w//xdbq+/4vzJGe1Zx6/8+E/w4Y9+wpBv6dMrSBH5uOPmxQsYthwO16Thiv7WkewEKXuDKZjUJBcghAhIedZWrHgP8ZaYr1g2h1AsE3cvplcNq5yK4XkpBFjivUqsi5mR3Uu5iaoAhCbQdi2b7YbYdYRmA9ph3oA3OC3uEc8ZyRlPBzxlPO+xvMfzLZavyF5qg7n3pP4GgLZ5jGhD1zZk29C2W5pmS58TogdwLf0nXTAGYExjdtR9EhDGli0CteilHBGwFQ8DYzDx+P3kXlzAZxZWFbAagr+obj8qnuUvsyXuYzV80Vl9krku/dwh72RcCxrok3pVBnA8xHlG+tTypcbtLNWvcTw+q13jBjYlDiyyLFe8+9jvByQGLDuSoU9GPxiHPnHY96ThwHDYkZoOtCRnDIeeYb9n2N0y7G8Ij1s2m47No8dsP3iKpxYbWiQ6Q/8VXdPRnZ3Tbi/YPHmCbs/x8y3EgOQ9YgPt5oy26+jOzzh7/JjYPSKenUNuEAMNHe32giHtid2W0LY0m3Pa7SV2yFgWQmxozx+ReqftLjGH5DclpLGuv+MCO5WvkPnpWeMVV7yvuJd8NW0DlJY95pnUG9kpgfEaCaI1niWR0x7ES6NtAcRQhe15iULeXJ7Tbs/YnJ2xOT9HpEHCBvOObE8Rb6F/gpnit18gww3Wf44PL2G4xtMNngbIhxJAmg23jt0LCM0FnpTYXHLWdGzaxwSNbDePeXn9CglfMQy33B6e4TaQRHErGZDuRigOSbTGgJW3UBaAIKWlRlwtsAeJJQmD0TXHIh7dp4PGrMWSsEEJdl/U9srmDENGo9DEGns1Kl53sbsj1+f4Z1+wwfHXYxkTA6mGjZWkEJsGX2amyKh46dTCaHqjCD42uq/B+05N1vxF/wFXfOt4vhuQaDSDoY3R95m8H8iHHh32nMWW5uwHnG8v8PaSfOhJt4l0O9AYbGPLD37jX+SDj75PePIBevmoZHW7s7m+pDv/Pjbsud1/zkFeQXpGyHvUfgVyx/PnP+XlZ5/Q9C+5uGjZXGyRy0dc73q++K2/RxNaPv7o14hbOP/oHD2zUjQbYT9kbne3/MEf/JTf+Sd/nyePf4Xf+PU/iXHg7IMLws7ZP/8SHwwxL2UzJBCaEmeWiKgITQ1nCWuy44r3FPeSL9Wa/G5lE7JsRfiqzeSyKjaSr5xKnMy44Wip4RXbiEZlc9ayOd9UAnZRFC5rMW/BNmBtyW7Mgg8Gw4APV3h6BvkK8jVYRjwjVmNjbCAfXuI5k7trhECz7dCmYdicYTT0CbrdACKEdIOJINaCDlhORaUY60D5aR5cWQBUSpmAdQN7OLirD+eSHvnxwTMh8sVxU0V7GNWlbEbJvahkZ5oV/hr3WqRXLpTTep96P/cFcZMx27FkOfqkYC3clJO7cq6+76Nq4BR36EjkxmGtG9iDwn7ICGC5EJScMjllsEzAaGLLdrOlbc9wbUv2dzY8WQkFUeX80fd49OHHDGdb0qZDJREZgA72jxl2L7m+/gTVzDbvKH6/Eqe737/k+uozLoNx1iihidC0DDcHvvrqMzZNxw8//KDEAW8bGrYcDgnL5flIaeDq+orPPv0Uy5Ff/dUe8UzsGsxKooobYF6bSyiiESRgNZZYROaek9/dR7FixT8z3Eu+dqlK2jlXN2IpHWF5rDxkdYnPuJYeihEIQbg439I0gfZyQ+wi4fwxuj2HeEav52gOaI5oDnR9wrNj+5d4Mjh8hQ+v8OErPD9H8jXka9SKG1AVVEpHu5xfgQ30Vz9niK9wOxC7SxrZcHnWInKBBuV236HaMwx7bjyT80BSxy0BB/A8ByqPyQNV/g6qtHElXw8SfvRyz0Gzq26MA5MT1pKzYZZwD0iwklo/qk+TCHVK8V6fNTIFwddXS8VdmIaidqVU4rdsUTNJdcqoHMtL2OLqM0WsGbyFkd35Pla829j7DsnK4fo5DA3t7Z5w6HncBrbnHxK2G+L5GY22bOOGtDd2oSOHlqZtwTqa7SOasw94dXvFq+cvsf1z8v5LtvIBj/VHDLfXvPjyEwiGnDntxQXn3z8ndIn++WfcfvF7bC/OkIszJCfIYPsD/Refo20kf3SBbTZ4A64bPB/wnChmQEK9ehMmo6R4EMRq14X/r703fXZcubb8fntnAiB5pqq689X05n5ut/3N4f//D/AXh90d4Y5W6z3dlm7dujWcgSSAHLY/ZAIET5VKerKkp1PGimBxOCAIFhPIlXuvvbZFcgykOJbFR21Pl6wUGq9Y8anjo+RrzGXZHGIVAtd1SJkUiut7NAPJ4A3VkrJpVPG+oe1atrsdzbYlb3dYu8NkS5QNDkWzQ7PgUsaiEcZYNF5TmjHtIe4hH5B8LL3DpFRalobXgtiRnDOhf4tpj2+6IpruHL7dYnSYOJwzjsMdqko/7KuuZ6gTYQBL9SKRS/WjnSrkxMDp5Je04ilgtmcoT5Z3H4Sw7G9nNQp6TrizWY0OJFwqRF0nMf9ZbnExdmYGJJxtNq/oraY3M5YjOUVSSqQYzyJek9brZJJp897PWiEx6c6mzWrF7krAngxCHgAl93tIHnc84mNkt73g+dUVst3C1QXOHG1qENfg1Jeb8yTv8c0W314Q3r3j4d09w/0P9Hf/yrPtyNWzr0hjz/7uHWhk+25DjiOb6z0qDWF/y3j/muwN2baVLEEeA/H+jtg47PiOLDvw1+BbcIGpL6mSkFIzfsoh1MBuIWC5FLLkVLIPc+RZTrqvCes1d8Unit/T27FovhBXhZGF+BRBPZglYo6l4opSep8tgzTsLm7Y7bbpXRxzAAAgAElEQVS0Fxtc6xl1S8gt2TqybZDosODJcSQfb7EYSOMe0gjpRyQfIe/BSjshMVdX9acwg4ohLpQ+kfkN2VqOBxjiLW0e8ESctlxebFC3JeYX9MORHBMh9AiZlAY0B8QyaoaaFLdmK/85LeCl3K+XgaeD30s1zhnK/NLje5knA6kpvFJMEuOIZkW1qZHYR/v+3U8XPK1qynJJKZVIQCwRNsv1vKuEa4p6VZKYMyCG6TJFU6YvrcJ7y4Ugpll0v+Ip4O7hBxAhD6/BydzB4FaqvYN/S3htbJstn198Th4CTgVf7U8sJSyNWOxpvLLd7YjHhhTgIbzlu7v/k3h8YDzucY2SA+RUNITqBBWPWItlIcea0iw5AMQ6MCGMEWkC0UESIYeIjQMihus8N58/5+d//3dcXXzOxnekMdM/HBkPByxERBNqESUiU39gKGN2rXBa8f8DfJR8gS8ZmCojUXFF7GsJSGSMlKsuquqmiqO9Z7u74erqErdtkMaRUkPIDksdOW3IyWGxwUIm9fdY3MP4EnKPxj3kEckHyKGmTdy8kjoVwBjOBZIljimQszIeA3nYslXYeqHZPGN7cUnTbEGeczxuGY+RcTiSY08SgXREckRNismfCJrBm9EAXqFhvRQ8eZzr3N9/zvvEa/p3qc/PORHCiHMO52uDoqx1Avn9Cc45BmZWPLxqx4UUAzHEhdSs+OKdKhunHVhxRqnBvRIUkznl6OonmRXiFVfm9aRw//CqVq2WNF67u8B1HSlGDsdIn/cc8h03F8/YfuNwg5QenhP5yhmLE/lybLdbjq4hReP+8JZ3775DYsSNR1rryFGwOHVuKORLaSEJKURythrH8ggdZCOGiIZA6iCLlFT5OBTy3zpuPnvOz/3f0coFG93Q20D/cGTYH8ghoI0hVgiYSK5rG5s9Fxd5/BUrPkl8XHDv/VzsVVIyU9TJ6mLccFXrVSJHVPNVh4gDcVgCyEjMaFLEFG8Nmj2OlsxAzAnLAfIeSUckH9EcS9TrTM1SsKwTQ4oPkjrQLBg9KQsxHRnDEW12mCVEoes6BOH55TWD91j/mmAlxC+q+NqC2GWq07LhKGSskdUl/CnhMd+Y+bosCNBCkjWTeqpOXs7fLVBb7RkiGbNQOjrkQnnMudmiYnkMS0PUcg7VFEsx4qr6+lLMktPUUFjOPLymg52aaTOL9CvpyoJTLVEwK22K8hQes1OfyRVPBLWrgsOVSH/2xOiIKdIPDwQ70OcDW90QQ4RUDa+1dGTIIXL/9gdco8jFJVebHfrZl3TOMd7tObSvicc9w+vfIPg6RgoBEpVieKpKphi65lkDa6gKopCzkZLNLbfUwNK0OK62KAjjcc/b+18y3N1zvHtJHA7FE9LpfJI6dTRNi6or50I1kjUphtdr5nHFp4iPki9XW6iUk23KktTVuCU8VQcjhlk8RY3El5Maj4VMjoYEw0dDRXHaITSIbAgMRdCfRiS+Q9Mel8aZzM0u5HNSpZoFVK2ZaARASWiGHB0xR8bwAMMD2uxoU8CJ53K3JTcd2+wYjnvk4bcM+Vhab5jSqMdLcfF3VbA8aXp0dbh/UjgLcD26esvZFh9IOQqlAnZSUE16LQGR2kYrx6JuiYap1nNl6v34u8eKUf3lygMsGynmmXylVKqMdXLGn9Ixlalle2xqUc5HrxO9rA7hte9eqdBcydeTQiUlrbQ4cVhqGWkYw8AYHkjWE/MDHR3jECB6tk5xTrBkxGHkzW/+O8eHH/j2H/4nPv/shs9u/hb+9n/l4fVbftz+K4d3r3h5d1+iTrlEy0QoLT+cA/VkhJgTyVIZf1LaWIlkYiwLahHFOV/JVy5ZCqlnjinH+9e8+a+/JOz3HH/8HssJ1yrObefv6X1D121x6kuULRsxLTMcK1Z8evgo+co5VZPtzGIhPRMuKN5YNq2cqM1aDY7HnjIZVfaSDcugPqGuvKZaomTOd2At0GD4WmqfzkTvZV45RcGWguKp9XDRLDicunJB0AZw5FwmzeJ4lPHOMG94iSQiThNiRuvAS22fZFVdZiex6Iqnh6Vkfm6czXRn70tLJlPVRZZv+V6pC4BiNEwdp1AH2bxvW+zusbzMbDpn6uNJaCy1rVF1sD+9ZUG6liG9+fOK1jKZlWqyGu0q3UlLVeQ6fJ8OfB2UIlWzl4s5tACt94QkWK4payuEZ25+DWDGeDwAkbtXL1F1uN0z/FUk58Du2TMsjfi2AwtVH1iqvQvhUbK60lehRr2mhYe6GlnNiZwTXkGdEDVjkkrlbowMhwP3b97Sv33HePuO1B+xMJRru+9OEd98InBlzEtd3EzNxVf2teLTxEfJ1zD2AKQYasPeSXXloArvRSgthWIErygNloxXP7zBuVsaV3QE2+aG1l+gXUA3GXGFfJm2tJtrkjNCf1V8vjiUtA4JIVFntzldM099ViICBsVcEmibFq87XHeBay8Q7QixrNZEepxltm3A55FOjhgHOg04SXReaZwi5lB8IV6VTK6z19PCpKuaLt1Tpeqs4JpSjHLaKtvyZ14Q/GrtUFKIVjas6W6yYCQsuzoOS+RrqRGzBfvKVlb2Vn3zbNLTSIk2YFobe8ucIs1VNA/nx7dESgkyVeNV0kLTciPJWuz4lLCrV+VgRiYRYk/Mwm6zZdtu6YfAIRqNZSRFBEWaFm20tEi0zP71a/aWOLx9y2+2/4WLr7/l6qc/5/Lqa774xT+z2XW8/pcb0nAoVYdhZLrGZqdk50mkkpWwjHOG90bTlErFEEckKltv6EYwHxl0QOKR3O+5e/mS7/7z/0O+fUf6za+RVOwnRBXaBmpkNqWMOk/bbnCuxVBSSgQLtdBkNbde8Wni49WOubYKslRWI+ic/iuTU54baksNjUkVfI79gKoje1eEySQEw/lMkzIq+RR2dg2SW7LfYpZKyb1R9mm5RAPmSfNEwM5uIlAbH1NLrlV90Z5RWguVW4TxQByP5BxK5ELybApbVnhSiZfMBqzr7PW0IDWyNXm1PZK6Mz04s2aYCI4txhosHi8JUD0HZlFkfbtN8bTFGF2Gvab7WYtlZ4Rq2Uh4+jQzwx6TL5kE+9PHVxE+U0TNZjKZ7VH5/oq/alx0JTJ0SFKIdJp6IEwZg2Kk6lSZmlLJJFqsWkGlrZEzJabEOB45Hm7pNjeod+XmPHlqED9Hmig6E9W6qDhF11QU320Qi2jToa4putgUcZbmazy59ClNIZJjxFKq+7fTCTHfl+baqmWRPi2G5oKT02m7YsUnhY+nHasBXiYWXy/RQsCmWSVlJJYTS1MuuqgQyFEY7o5kg3azxTct8WLHsI0MBAYZaZKyZcSpsesusUYZ7RtS3NPf/8A4HiA+QILGIp5UDFYBECKlpUWk9tnzDnEO3+wQf4lrLnDNBbgN4ltSGhhjTxwOHH78H8R+z76/xdIB3ybUG9kZuYqWJ4Pwkl3N5SK0TmFPCFN60ea7eYKqJEeliH4nX7fJXNem/okLwobVjqaTXotSgGG5vp5sigXX1OSkT3w8c5SUevlbrJNqxqYO7yL1lZqWqeTsceRLrNqvWvmEJHZKL86k6/R4HblPB//wxdfEbHx/6DmExD73jCmSLBHSgKix3XVsuganpTK72DUY4hXXdlw/+4J2c0Gfjox5oE8D+9e/RNuOJAlzgjYtkgZIIxZD5V2FlIn3SBohBCQEfAp0TcPNV9+CGbtNg/fKJiRcemAMPWYjfkqRZoFcdF+ClpQlFPJohuSE5IhYwDuj2yhNI3gvpzx5XVCvWPEp4uORLytnweRln1HSJJKZdFC5nExTT8RqQEROkZxrOkQSY0o1NRmQOIAobR4RIuq1RKuaXTnf/LZMhHnEcsRZLqsw6mfXSc0QsjgQRbQF9YjrUC2rMlVXe+9lskVCGBiHI/vDA2nck1IoX2CxaiwRhUro5qbKNd20zmBPB4tI5XQdn0xUl0KvOeL1u6oCZ+51iihBTUFOeq1Zw3XScdWNFjtZ7nnadqpGzOefLeeE6b2oF9MZMH+BR9ufR4VZi0WeFFrfodlonRFzpNeIaK7WIREn4J1HnUNFqw8YJZJbU3VNd8Fmd0NODZZ6gjuS5HA2FOfrac5zzr1cCqeFCcUENSUslsVvt7tETGhaj1cgBswiFkMxyI4ZYoZUPBNL2n2RQZBJMwmFZWVUDa9V519VHiSmo1sjXys+SXw88pUiBow5kQyiV7I2YA6yx+eEt1LhuPEUXVUKgLGppe8xR0IwxsM9FiNdjGzSyK7bonJD64SGYiTYbX6CWSKyQ8ID4/63pP4dKe7RtAcMV6MCESOrx5oXmHZI8xy0Q/xz1O9wzTW+aQg5MIa3POxvefnq1wyHB+5/+A7SyHWTSwNX15SybFUQLSnMrPPFTM1Q9azs6ynBzu4nQpQp5FqqmrBkAPNpS5nsHWQmTydSVaNkgJTGKVW/JYRoaM7gMmaCesWJzq2EpmRiLjMa5ESKfSnlT9UEVSa9WD2GmcmV9MyHv+KjRuGwzlhPHPuxwxAuuiu6VrB0i3Ik5nsO4wMXu47N1Q2b7RW+2+KiQzzgFHMKznNx8y03z3/CdSekVgm8Y5TXXO1+ioYWG5Q8JtIQyS5iTmlCoguZrcGFKhJGhv0Dw7s7xle3+M0zvv75/4yKx5uSx4G3//J/MTy84+7VPeP+gfbVHZvNHXI3sE1KNCXU7IQpoEYqNveYlmjdxieuNHPRJbabTIwQhsluZc07rvg08XsjX2WCgWSQraQdMQemlQaVChtfhZE5h1qxVTUxOZMEUhyLoalrEN/gNRFTEban1CHOI1oiX6494FTR8Q6JPdhITg6p8bfJ/8VEMd2A24LegNsi7hrRDaItooLl0vQ7hAP94Z7h+MDxuEctkn1TKstEqy+Z1hvzxDuZV07eNSueNuwDhGWOfk36sLM2PtP7Trorpm1sisAWEgalegvRuT/dPJTmD7Q5jW051fv68TPpq1tK1ZRNOrAPmZcZc/2lzSG+xxuteEoIqfzermlRlMa1eJcoQaVApi1pQVc0rVKrZNFKckRwvqNpt/iLDWxbgikNmc7vyCEXC6Bq7mtSZRUxFvPVnHFGuXaHQBpG4v6Ic1e07Q7VFo1CTEroI/1Dz3gcGYaRcBwIDwdyP+JyrufFIsosYE4wV/VpIqgYSsJJiYLpYv4AaqX6ihWfFj7e2zGlmnJrShhaW0RL2wkzgeyKyN4JzoGRGLMRc+K+PxKTkbXBRNE2IL7F4hHiPTJuaOyettli9hXeKTu9wLmG7c6xk4GxEeK4Zdy/YjzAGAcO4xETSOrAdfjmBeKucO3fIu4KaTvMeUbriy/Occ9wuCUfHtimAw0jfquIeS5bR+MUb0A01AniqtXEpP2iTG66TmJPDI9/rykCdrqfhPHT1tMzs5NSayZmnPiYiM5pmUkcmHIgG+Qxo+qAlgYPTmsT+FrOn2KpHk6JHIsPl9ZSXVt83jJtuDRUnY53Go8yf6+6BztNckzLhXXoPin8eHyFinJju5Je5IB3I8SRaImH/kB4mxh2mcvmhlZaLvwGa4QoxmiRd7f/Qkx3XLpv2O4+o/NC558R9z0vf/t/cHz3mvH+B3LoUW+QAm/+5Vcc377j+MNvYP+WfDyQQuLux9fE//x/43ffsfnNW0Rd8aYLI/ff/5JwuCf2D+Q48sN3/427Nz8yHA/0Dw9YHEBK0VTUhGsbrr95web6GZvnP0F3P+Xuu1/ymx9f8ebVLUM/ggnOlalpMhJaseJTw0fJV5p0KKqIlOpBxJGlinkRpt5DqhQ7CoxomX0YGWJCNYO60qbHEkkCQQYcW/qm+MX45jMaM3xqaaRj2wiNj3i5I7URy0fGeE/E6McealpG1SNuh7pL1L9A3A14hzklhUSKB0I4Evt7bDzQWsCRUF+mrs6ViiE1KdcHBbVqsjoJPacQxnu6nRV/zTgRldP9HPWySRe1jGQt3zdTtRPxmvYyZyRlJjizT5KBRciaaBolZ8FppUCTJixXQ9XJNG8meqfPNaqXHosRt/g+E1GcOdUy+jWH86Smzdcx+9SwHx9wqlx68OJRBlQipaVbZoiB8ZDw0jKOA+rA3KaoQQSSZY79O2CgCzt2XODU492GGN/y8OY7+rt3pOEeS4FkpXXb4e0b0jAQ7u9gOBYdVzaGw57x5fe4zQNdXwpSQozkFBhvX5HHvornMw+3rznc3db+klPT7Doy1TAnbK537J5f4bc3iL/meDRu3zxwfBhK26Lq03haSaxY8enh4+2FXFNz9YWIpBRJyUgBcgTNGZ8SJmXyyUQimUCmF2MQK60kYuTaO7y2eCne9+Mw8MPwmqYd6Lmkawdce4nplpQEJ4ZzlzjnaHNLcNek4wOJN2AJLOLdFt9e49wlunHgjGM+EmJi7N8S+rfI8R6Od2gcuZSIuUzsHILSeYeK0HjFSXEJV2FuUmzz5Foue+uF4KlBHt2fk635r7qgP0tG84G9VRpXUusAWhKPebZOsSpUVpJmnLSYCinHksJJqbROyVaqwKBE0URKWn4ih2cffEp4S/3cKVamtXIzVquA+b0r6XqyCENPFOF1TjhxDLH4baUc8SqlsXsIpLEvPl2d4K8ajB2bmy8Yh0wY9uTDA1jg8Op/4NTjXMO437N/8yNx6LFwxHImZkeOiduX3+N8w3B8II19SUMikDI29MSYSTEBUhYHZjAcSuWile6PljKJovslG6VQKqKd4+L5c9qrKz7/m79nc/MZdynw+s0PvHz7mh9v33IYekRcIV9aosU5pX/vn2PFij8LPkq+iqZAyDX/nlMipkyOhXy5fFrNF4fkRCQTJTOK0YuRU4AEl7bBq5TuFcA4jrzdH2k2gdzdsE2R66tnuDyS0gZTj/c71O1o2RKaZwzulhy2hdCFHtEW11zi/RZtHeYgDgPHONAPdwyHW5r+gXZ4oLXEhSRwRqpRLa+lUsi72p9sMcmVAkcpxJKTDc6Kp4QP59uWRveTxuq0pX34bVNkzJhX8szSsGosYRmpaZKcx+LPpErOSs6ZlFIhX2liSFp9JKte8uzAPnTckw9SrfW12YsVN2nQZOlo/54Kf8UTQBwHAG7DWHV/AIZJwosSLJFDIIeBPPaYb3CbBkRoL1/Q7iPh4S3j/i3x4S17B0qD0pLTSBwfynU7TWM1kywS+gGwSvBzjcoKljKWBrKNpMNDOchJrwVn181s8ezUMslkRtRv2T6/Yfv8Oc9/8nPaq+e8fpN4e/+aH+/e8ebujjSOqBYNm6oWzfEHpI4rVnwK+Cj5KkZ71ZWbRIjGGI3S87qs2xPFc2vMkay59GSttWCK4ZwDFZq2pe062sbTdS3mRraxNLwOx1s0jRz3W0g7LprPUd2S3Q5nLSYb1F3TdVdcX19hKWDxiFOH31yj6kl5IOdA6m/JocfGOyQ8QNyT05GYE0MqjbrVlYnMpEx4xRqwWGmonLyZzDKpVrnFvEa+nhLOk3kVMnlwVVNKZEGgyrtmndQy7fcoElXK5+uLNcIkOnVDsEk4Rk6RpKXdVZ4iXrOA/qTbWrYlWn6D+fhsWQcic+RLBNzEFWtlWGLStdXm2jOXXAfvU8FPX3yJmXEXAiFl+uFIiAHRjGixunaV/ETJZAdu2+Dbjs9/8bfsrl7wjpH+TYf1d8RwQHJAc8RyWthKSB3bU9lIPWdmT5ap8KP8M4232SuvbF2PehLHUxcBpapRW0d7ccX22Q1f/t3f010/g4vnDH7H64df8/LNLXf3LxmPtxDHRRp+SqLLGsVd8Uni49WOUshXsjJxDGFkCAmLCsmhqjTOIZYZciypGCfF+E+KLYTzJYy82XR02w2brmXTdajzhFjaSwwPP5J9w8PWyOGCy22HOEeTnuH1hixFA7DdjrRtj1kgpx4hoVqc64fDLTEOxOMb0niA/hYJ91g4kuOemBJ9DDhVWt+itTIIgSTFsPXkdl5O/IQRc+2bl9bQ11PEgk4VyInETM+XkMfL7A95fxm1J53MGrB59T9lHq1YSGSJJFFSyrVHqp0mLznbJSeCtLif58Ry4Fr1Zm5a4OQTOcsmpcMEzG732LmH/oq/fvzjVz8l5Myv391yPwyMw0iOA+pKZFXMarQeomSSA3/R0bgN3/7Tf2R4GJC+51Y2HF//imHYQ4gQxqpnna500yJz0jWe308RVJsWARRZhtiJcFWr3/nYy7kFUYqFcLtp6b58xtWXX/HT//if8JfP2G8+5xiN72+/51+//xfevn3FsL/F4XDiYPZ1XMftik8Xv4d81Qa9OZYGq7UNT2lhX3xaspRVzpRPVOdwCNvNFuczTltUHb5tQZWYjH6IDEMgjrEIj2NpTjz2RxR4ODyQcGy4pKVFaOuKKqHVyRsVsgljKsLPYTwSQ1+qd0KPxhGXUm0+S50h3aIcW4ttq8HkoVTmRGPqW5nNSLlE/tIa+35SeFwmMU0Kp1c/9CarwaxKhabffPHTW337WYLQ5kRgcZy3WRlGzlZ1XnZ6h5wfwckU1RYC/+U3WKJGvmrKRyQV8sWJUEp9/2wNtg7dJ4UQemI2zIrIvugASwrQ1UpsT6ZrOza7S9rtrqTrnNJcelDj8ssvKG2BBkiZ2N8R7W3pyFB9pd/zjl/WaiwiXNOfpkjZuS6y5gWXFimAeMG3js31Jc+//hmXn3+Bv3qB313imw4fEt43ONeUiHHx5j4tYM4Oa02Zr/j08HGTVSm+WmMaiCliIqgXJoM8MKIZThUajzpFO48DPnMbkgnqOlSK2NPU0YdEPBwI/UB/fwTLeMlYVPZ3ytAfSO6Cpu+5uW7YbY2u2bHxW4q7V0LImCjRInfDgRgHwv4teTwg/QMaenw44sKIxVT6RKLgi/GrqS/NhrPV1GJN0VDEpIaCOMyktlOyuVHxiqeFqSvo+9fvE7EqQaJKeqZI10L1fhaPqimY+bUMiGBW2g3pLLq3OZkdiXXrk75slndZMV5duuc/SnIChmUtnVasTIjelWKRImrOtXG4zMUis6v9OmifHA6HW5IZKY0YsbSjMlC06GZd0aleXVzz7LMv2W4vUd8g3rH5zNE9b5D8Hxi+/QU/bC544645vPsVMd2Ro5GHMkY8H16GnIo29FT9Oy1Malrx/KyY6D6kOub91rG58Tz7yVf84n/53+lunrP56m+QtmUrYMNAt72k665wvIZIyWk6AzI518/9uAxyxYoni49rvqRUsDiluHZLbaztgCzzueJ9IWU6VY1NImI7pfKK2NiIIRGGSAqJGGu8QEqAO8aAiTAMR7J4+vYeFQ85ojnV9I6RLBNzIuRADD0x9KTQk8OAhgGJoUTTUm0Ii9bmrdMxluPM1bk8z61lTpEJrETYJp1OSGm9CDxVzIa5j39A+4CYt17tF5PO+d8eP56iAVOLY8qMUQ2KywA7T1lL3XYiSNPIm6Nfj1HCcdjUrmWh5zoRuNPTFU8bt8cjGeMQIn3OhKoXBIeq4Krcw4mQYyLFSBiHYmFCNe11gtu2bJ7dcPnlF5jcE4bXpH4gpUMh7bl2H520kDOpkmnILYb8iQVNnYKgpCDLu2r2wFEicLsLds9u2D77nPbqGc3FFdI04BwqJW3aNS2btsM7NzfUXhqpzOfDGvha8Qnio+TLSQCBbQeYor5BXS2Pr+k6McOJ0nlfhOk1zTf1R00pknJiiEaIRhgT41CIkY1Fw5CIxSfMHVA/EniJa2+JQ89hc8XF7pphe1W8anxLypkxRGIKHPs35DiQ96+xOKD9oTSDTQnJGRXFa4Oq4n3xJDNKqb+loufKlueTXEp4ASiRsVQrPPt+mL2XVjwdzJOEnN/DKVsyL+nt0bvqPDAt9pfKlhN50jot1fu8iJxRPL2IeXEcZfI8ueiXsv2ydT2uR9/hJN+q+wTG+smSS5oz5zL9Jax2o5gsZNeZ66nhv7x8iSHEqqlKIWEps+kc3jk679m2LR7heHdL6kd89qg6hmEkG+w2z2iuO57/48959rOvePOr57juiv72B+5++1+xGIj9iGQouQoBLRWOs14QeaR1n9zkTuntacEdCaVkabvBX3Q8+9nf8PU//CcuvviKy5/8Ddq1SNeCCi1Aznx2dcX4/DlvtlveuqIN1lINVTIP0yJjXVKs+ATxcZ+vmoAXLYTEOS2pxemSnstK3M3l+rJId5QT17KRk5FiLj4xVXhMrR4UiplrBiQm1EBCANES1XKecfQlzeKaIv5PxjgGcg7kccDSCCnWW9m3WFmViQoqp5VVcRqvzYwno8u6xjrrKCOntReWa/PjP/n//4o/E85/yg/SmffwaJ457eUUCIOz6YdT1sXOn86fPPdnPBG9yUHfJl+vRQRuHmNnX+D0ZCKMpeKSOUeUOaWGHmvVVgL2tHAMERCy1ivto+irqMP7pjjNp0yMkTAMqLpC1ADEEC80uw5pPZubEoXCAsfbC/LQE0KCyb/wAxe3D0geT+P7cRS55tJd19Lsdmwub9hcf057eYN2Hdr4xYKjLEIa39A2He6sTdJpmzWUu+JTxkfJVyMAinMl9z95YWFFBJrlVB+TrbRbkaxlPhgzKRthjMRkhJgJyUip9IkEwGlZsSeBnPH7gHOJZy7QZEd2R2I29inRhwHEIa5FUoYxIjnh4gHJEY0j5FSc6qfwvCtpRifFMyaHSM6JGMaFJ1NJqyIgqqc2ehQFWLJatckHBKorngBqGmUmNwutyhnhMab41LTFqdVisVWxnOdt7WzLRYStdkQoc5NMp0op02fWJc8kyYCUl01UTlWT8pgzTWNT5OxGLQiZCZgtiNgf95+24t8RIVHIU7kold6HzjAt0TDtNmxuXmAIfRZCCLjbN3h1bC6v8U2LbwVtjeaiw3vPi/YX7G4+4+HVd7Rb4Xj3jlf/+t9JQ48cetTyomXVdE7keRzNqOxrSuEnScW5vmuQ1nPz7U95/s1PuPnZP/Hi7/4Zt+uQbXcypKsQUSeD0kUAAA5FSURBVDbbKy4vI93mGt/syiKkXMDLUDdDcl7H8IpPEr8n8lVORzcZ38ncTAizUmVlNumnoExyUoNFGRIltVdvJeK0CBRUr5rJszvnVCNqdfLKpflrDiMRMHEgEUkZHxKaM5pHxFIhZGYl2mWFdKlU49SaUspV55BT7akn+SR+nqrHJr0DpVWH1NecyocWhyueAE6/26Mf8D0eZjUaVVGjX7NVhRQtl5xtcAp9nVKLp/DVMpv5uDn7kiBZrZB8335i+ej82B5HJJaRL1u+7dFbVzwFTFcewftiwdA0LU3b0bQb2s2OlI0Y85xhMCu+it571Nc+ta2ijaO93KHRk+OB3bPPMAS3/b4sI4axSDGsXv8eB9sW18QZk++c1sddh3QN3eU122eld2NzcYV2jmL++P4AdK7F+w3OdYg2QCRTPceWB7BeeFd8gvgo+er8DgCRWg5cUyg5BVIKpCoGncvsSz1OITqxtMEg1zZEAFipbNQyUbl6COI7AHJWRBzb9oquaRFTLAp9f6BPd6SYGWOiQdiJ0iBcOilRqUrqGnWoOByl36SkjEnpIZliLBquMQJG05YIGSrlIrJIM1mNeLiqRXDer2GEJwR5lKp7D2fVgO9HsOa/yeLvkzZw3soWGy0IWiXzUkf5ZIw6R6IqcZpE8pPma7nXs6zj4oXpkywvBP2Lb2DvPVjx1LDbdoBg4hBVvv7yc26uL7m+esbl5TVd27HdbmcrHAFas6Jv7TaIOtR7RItMBEC3jsZ3XHRf8VXzv3F89xrtPMP9Lfff/TdifySHqgYRVzwepS5AVRFXUoLqFFEpBE+FZgPOK83NZ/jNJS9+9k/cfPMLNs9v0Ou2tO76APEXUbruOdvdlqZ5jrorcj6AHeZtSjp+HccrPk18XHDvGspMUciXWaqaqVwbBEOKZa2Sa5rES6lyLNsAVgX6GE4mM5eSxvNSCJt3LWZKyB5Eady2WFOQsGyEIdD3R0IIDMNII4rzHlMlNW1dfrkSNq8rPpE8RyAmfVfOVZic87yu1GodXiIUi7STWU21li3do6jFir9yLHRYE8ze//3OnL0f/WVKfcBj+cmUe1k+55QWpEwuVsc3VbczR9cWScv30jrzNgtZjTw+PvsgyZpSkOff4v1HK/660TUNAEkcoo7r6ys+//wF19efcX31Audc6RyCzCOpSubBVe3UI0gj0CgtF0ja4NqW47vf0ncN/e33mDNsqIqSqsGyuXeVIt4V/az3iFNc0+KcsLlQXKNsnn1Ns71m98U3bJ5/Q3PVIK2eLYIeHRHObWgah3MbVFuyDUs1wIoVnzQ+Sr58U1dguQGUnAqJ0UYxdTiJeFwV1JcJI8ricqBK48uE0KZITglHxllio8q183hxXMiGhONdbgjiCE1Hco79YWAYeva379jfvsNCJI0DSZVmsyE6h+u2OFGceFSETetovNK0StMIOEHclBbVQsqmno5Ni/NKVeeTF1PxvOKqAlB17s/3K6z4s+H3B4IWKUNZvMRZPGvx+kSEJqI+rc4ricpS0+k1+jaZT56Rwfpeq2nOakvxeJo6JTRtocNh9mFaHt9MvOZM6JKIrcTrKeEf/+Gfq+a0aL6++forbq6vaNstTVO6czwmWH8oyZZW8TewbS/5PP894fg1u2fXxKEnWbUHahrEOXKNgCUzghnqhHZTiN9ms8E5pWkFdYLbXKJ+Q3txQ7vt0ObjClkR2F0oZo5uk1Et7Y+SxULytF6zF9XnK1Z8Svh45Ms3xVtIGsyUEsoqUaOSwlfMhJgTlkoqL1EiRmjRWnlX2qBMJ5A3aIBLdXzeNHTiudGOhMNbyxHlnWtIKgxj4mHfc3j3wOH1OwgjMg7gPcN2Q/YNzTbi1FXypUjnscYhySPJoY1DWq2thMrFTKSEzp33hXxR00lmtRjgfNIqlc+r3P4pYZmusEf3J+rE4pXpgSzv3t/mw6Is5mjUgsAJtVn2cv5YSllkinxNRO5x7M0Wi4Hz90+v63taGpnfILIsNFgJ2FPBt9/+FDOIlUS/ePGCi4uLUy/QR/jd0aX3oV5Q73DtFq/fkMLI5uKSFGPRZoni2hZtPBmPiWeMkWOIOC9sdg7nHbvdrkgyqjME6ksHkccrmN8BEeg6xUxpWkM1IlKrLyvpXKQkVqz45PBxk9Vag5WtCOlDCqSUKGuyhGimLdYtRVBv1GovQ1zRumyclvRi8BATrQmdwZXzfOFbfM5shp4hJXIYCMDRbji6hr4fGQaD1NLJFU1jbHyejQYVyMFAIiY9IobmhjwqwiUqO8Q5nGzIJGBEyKiz0qbIIpIdyNQPr57lWeqkmMmTXifFf9NFbsW/Pz5Q2Hh64SxWICxL53/Xrzw5Zy3VWcsqysLbTynCKRpl9bbMTloVf31sXjlFvuZY2Swam3Y3FZTYgt095nnr3PW0cHV1M2sCAcQ5hjg1xU54dbS+mReTfxRUkG2Haz2tCpYSU/d2cUVrZubIWTkcR94cjzQiXGdPZ46daxA/qe75Nx+HCHhvNI3RePC+dpkzHrlYrKN3xaeJ30O+ElBISc4Q0kCIEacZp4Z3QquCqpFjXbGoIdVjRlW5aFpaVdzYICGzMc8me65dw1e+Q8YD9nCLhCPp8IpgmZ7Aobng2Cf63mhix0aEC+941niSZcYUMCI57slEhD1ChOCJ4nDa0LgdrvGo7IBAslhSiAoiRrbELFbj5FA+TZST/5LVK8JKvp4OJsuFcyxVU6cs4ocUX78by33UpOBHdCr5A+RrGXk7RaQ+vIczAlYGZ/28acwutYgr8foUcHXz7Oz5fhzpx0CKxdNw03Q0Uvy++GMj8qrIpkOA7mL3wU1yLLcYhddpZCOCz75ISqr268P4w86lpgEMmsbwdUEMC33lx06sFSueOD5uNUGtqMq56LpSIKZAzpkkiVyrYCxbiThDLTs0kFSSeTmQURrR4s7sNlzojk4b8BtG4DZFDikwaCo+yTlCDOw2V3R+w+V1ywUtW++4bj0xRQ7DkZQGhvCabAMWfsRST+wjIWaOIZAPPVttkC6jDpqmKSvKXFKNmalhLVWcX8Q5U8Ga2uTtZadutCueBt5ziDyPIc3/zsKpE3GR+v7ldf/DRqVlcpCzv5cdLhulTEarOdvi0x8ryk46MPhw2tMW2529OKcvmYme2eIbrSnHJ4XzSl1jqjInR3IaMaeYdeVa9Sf4jA/BzBij0feZ+33k/m4keKHLRt560pWVjMbcTPSPhFI0Xq7kL5NZ7Z5Sxq6uWccVnyg+Lriv5KRPkRwTIfSMMYBFINE4xbyi4vBNqYy0YtBFqrNCygk1wcmWTeO43FzybPM5jTbgthwRfjUGjuHIvQsEyeTUI9nx/OpnbDbf8MWzr/ni5iu6xnOxaRjGgXd37xjCnrv7XxHCPeHBE4c73n3/hv7uwHjs0aNyZQ3aRjYb4eKiwxBCdmSDWFOLasvJUmZN2+xIjp1K+1c8HbyXvvjDZon3okdnOsATzqnTROSkmvVOZqll4rScsTQJ67Vq4hfVYI85lX2IgMmCgJ1u8/yMPSJfKz4FiBliCUuBFI7F+T6XKP6fk1YfhsSb28Crtz0/vjzQecH2DeNVy7cvrvEKrvnwQuEPgWi1AHOKNK5Ur+e6aEhlVfO+pnHFik8DH087VruIYtNwsmqYggqKEaU4xHvV4i+jJboUUzHty9W8z7fCtmm42HZcX+4o1K4l7RvukuOYWoJ/Rlah8c8R3dL6LY1vQCGQUIFBILgEG0Gcg9givsOlHbiM6w64LkFSLJVud1hERHFVHZrR0g+vToLFTPZEwCZpTbbyHc1KD8gVTwgfYR5zjGq+rr+vl5pI9/x0ERYTTmaos5O9LLetEVU5PT/PgS6I4MSy6ue9f0zMRYyn4yjvlzo2kRPx+vBXXyewp4zSSNtD0yJs8b5F1P1JZBBLzeKxt9KNJERiivz4duTHtwM/vj1yf9czeMHHQAqRly/v2G6bKsBXttuGpnHFiPvfQJgMSgq0Rr5m6Qc2n1vr6F3xKeKj5MtCaS8RQyTEVFsEFaf4bJBqAWTrlbZpUW1ouy0ZGI57Ui7tfDLGxcbz5dWOz5/f8PVnX7APxptDZjhs+PW4ox8aLjef4X3HbnOJ8y1Nd4k2HSGPvB1e47LQmCIO3AXknDHXQTTa7itsvGZzyGQa0jGThoxoQDjgpGHjt6XCTF2p2RSHieDElVM8l1Xm7GNWTQyNEvL/kCPTiqeCc2XXyYX+kZGjTNL232XwKOf6P10I7JlIlmGZQu5tquA6T1zOUTHhnF3N6dHz6NecUpz3UCPLlpFM8bJbHnMVtK06xaePrm1prcG6FstXpduI/n/N952QKWL33/wQuXtIvHn3jvv9gZev9vzw455xjByPgUbhdVvsfF6/vGO78Tz/7ILtruXnv3jB8+c7ukZo/kB9rFELBrxH2gbxEwE7yUEW/6xY8Unh9wjup6zJYlJZTABTav4sFSJ6quGaUiEYKuCc4p2WdhklrISpEk2IphgNSItqi9PSOFbrSZxyAisRK2el3Q9m1KVWMRd0xZRQVBGtUYSiUi7S5OkQq2HqyYepxrykanim12r0YvJxWi8BTwvy3qPHv+Af85vavBafUo0nkna+t8ei//c/60Op0HPCZ9N4/MDfzj4H3iOLZ2RvJWFPEsvfTVBwp7H8p/xNDUgJQoRhzPRDnG8hJGLMJQMhpTPJMAQEGMeE84mU/xS9RBffZzo1/nC1wIoVTwqytm9YsWLFihUrVqz4y2F1Dl2xYsWKFStWrPgLYiVfK1asWLFixYoVf0Gs5GvFihUrVqxYseIviJV8rVixYsWKFStW/AWxkq8VK1asWLFixYq/IFbytWLFihUrVqxY8RfE/wu1NhkQTYu91QAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "img=Image.open(\"./test1.ppm\")  # the 1th column is the filename\n",
        "img=img.resize((32,32), Image.BICUBIC)\n",
        "    #draw the first image of each class\n",
        "plt.imshow(img) \n",
        " \n",
        "plt.axis('off')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 266
        },
        "id": "u8rO9StDMdZ7",
        "outputId": "2215b5ee-fe40-4d37-dd6d-25bc802c1f15"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(-0.5, 31.5, 31.5, -0.5)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}