lstm_stock_price_prediction.ipynb 283 KB
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{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "lstm_stock_price_prediction.ipynb의 사본",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "-k3h10dE6uxG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bbbacc3a-3736-467c-c734-9201390b4d0f"
      },
      "source": [
        "from google.colab import drive\n",
        "\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "gsIwSTBVzPev",
        "outputId": "baf7b3c9-3a08-49ec-f894-94c4142f1248"
      },
      "source": [
        "from __future__ import absolute_import, division, print_function, unicode_literals\n",
        "try:\n",
        "    %tensorflow_version 2.x\n",
        "except Exception:\n",
        "    pass\n",
        "import tensorflow as tf\n",
        "from keras.models import Model\n",
        "from keras.layers import Input, Dense, LSTM, Bidirectional\n",
        "from keras import backend as K\n",
        "import numpy as np\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import datetime\n",
        "import os\n",
        "\n",
        "data = pd.read_csv('/content/gdrive/My Drive/capstone2/data/2021/oneik.csv')\n",
        "data.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>close</th>\n",
              "      <th>open</th>\n",
              "      <th>high</th>\n",
              "      <th>low</th>\n",
              "      <th>vol</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2000-04-24</td>\n",
              "      <td>5940</td>\n",
              "      <td>6070</td>\n",
              "      <td>6100</td>\n",
              "      <td>5800</td>\n",
              "      <td>409179</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2000-04-25</td>\n",
              "      <td>5870</td>\n",
              "      <td>5700</td>\n",
              "      <td>6000</td>\n",
              "      <td>5610</td>\n",
              "      <td>249685</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2000-04-26</td>\n",
              "      <td>5800</td>\n",
              "      <td>6150</td>\n",
              "      <td>6260</td>\n",
              "      <td>5650</td>\n",
              "      <td>391259</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2000-04-27</td>\n",
              "      <td>5600</td>\n",
              "      <td>5650</td>\n",
              "      <td>5900</td>\n",
              "      <td>5400</td>\n",
              "      <td>205318</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2000-04-28</td>\n",
              "      <td>5660</td>\n",
              "      <td>5700</td>\n",
              "      <td>5730</td>\n",
              "      <td>5570</td>\n",
              "      <td>224748</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         date  close  open  high   low     vol\n",
              "0  2000-04-24   5940  6070  6100  5800  409179\n",
              "1  2000-04-25   5870  5700  6000  5610  249685\n",
              "2  2000-04-26   5800  6150  6260  5650  391259\n",
              "3  2000-04-27   5600  5650  5900  5400  205318\n",
              "4  2000-04-28   5660  5700  5730  5570  224748"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "fYt-X6WP0HB7",
        "outputId": "ae844bab-70fa-43c8-c021-12d257594c93"
      },
      "source": [
        "features = ['close', 'open', 'high', 'low', 'vol']\n",
        "stockPrice = data[features]\n",
        "stockPrice.index = data['date']\n",
        "stockPrice.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>close</th>\n",
              "      <th>open</th>\n",
              "      <th>high</th>\n",
              "      <th>low</th>\n",
              "      <th>vol</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2000-04-24</th>\n",
              "      <td>5940</td>\n",
              "      <td>6070</td>\n",
              "      <td>6100</td>\n",
              "      <td>5800</td>\n",
              "      <td>409179</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000-04-25</th>\n",
              "      <td>5870</td>\n",
              "      <td>5700</td>\n",
              "      <td>6000</td>\n",
              "      <td>5610</td>\n",
              "      <td>249685</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000-04-26</th>\n",
              "      <td>5800</td>\n",
              "      <td>6150</td>\n",
              "      <td>6260</td>\n",
              "      <td>5650</td>\n",
              "      <td>391259</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000-04-27</th>\n",
              "      <td>5600</td>\n",
              "      <td>5650</td>\n",
              "      <td>5900</td>\n",
              "      <td>5400</td>\n",
              "      <td>205318</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000-04-28</th>\n",
              "      <td>5660</td>\n",
              "      <td>5700</td>\n",
              "      <td>5730</td>\n",
              "      <td>5570</td>\n",
              "      <td>224748</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            close  open  high   low     vol\n",
              "date                                       \n",
              "2000-04-24   5940  6070  6100  5800  409179\n",
              "2000-04-25   5870  5700  6000  5610  249685\n",
              "2000-04-26   5800  6150  6260  5650  391259\n",
              "2000-04-27   5600  5650  5900  5400  205318\n",
              "2000-04-28   5660  5700  5730  5570  224748"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "3Nty6sdWzl5N",
        "outputId": "3190029a-1b6e-4b20-d658-26f6ebde94bb"
      },
      "source": [
        "plt.figure(figsize = (18,9))\n",
        "df = stockPrice.copy()\n",
        "plt.plot(df.index,(df['low']+df['high'])/2.0)\n",
        "plt.xticks(df.iloc[::50,:].index,rotation=45)\n",
        "plt.xlabel('datetime',fontsize=18)\n",
        "plt.ylabel('Mid Price',fontsize=18)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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CAABAThDcAIAUcGxeq/XMjfr7AwAAAAQ3ACAFHJvXcmsyN/yeGwnBDWNYLQUAAAD1CG4AQBo4Nq+RlLnhJJWlENwAAABAAoIbAJACDs5rRV+O4LUJAhlR1YaiszIsAAAA5ATBDQBIAaGNWtEGq0GJSkJsg6VgAQAAkIjgBgCkgNVSakV7bgSvjVFC5oZDWQoAAADqEdwAgBRwaF4rGqywTTI3qj03ZmNUAAAAyAuCGwCQAhIPaiUHN1gKFgAAAK0huAEAKbDkbtSIxiqC1yYhcSOyFOwsDAoAAAC5QXADANLAwXkNN6GhqJOwhwozN4huAAAAIILgBgCkgEPzWq02FC3QUBQAAAAJCG4AQAo4Nq8VzcQILiUvBettrJC5AQAAgAiCGwCQAnpu1LJJmRsJ0Y2kgAcAAABAcAMAUkDiQa3E1VIS7kdsAwAAAEkIbgBACix1KTVqghv+v06TNA1ePgAAAEQR3ACAFHBwXiuayeKGZSn19wtKVSjrAQAAQBTBDQBA6mxCWYqTFNyI3QcAAACQCG4AQCo4OK+VlLmR1GEjyObg5QMAoHfu2Lhbqz/wI63bNpr2UICOEdwAgBRQVlErsaFoYuYGLUUBAOi1K+7cIkm6Ye32lEcCdI7gBgCkgMyNWtHgxpotI5JoKAoAwGyp+DtWJ6kmFMgJghsAkIJ+HZtPTFc0Wa706dn7JxqsCIIaiUvBhmUpRDcAAOiViuv92+zEApB1BDcAIAXRBpqrD5rXs+c9+UNX61kfu65nzzdbopkbwVkjp8keiswNAAB6x/WbXxXI3ECOEdwAgBS4kRVBenmc7lppZHy6h884Ox7dsT+8/Ff/dbek5P4awQmlsamyKi4RDgAAeiEoSymQuYEcI7gBAKnwa1uNIQtB0p9/5676jU0ain7m54/oLV+9pc+jAgBg7rt6zZPaMTopiZ4byLdi2gMAgAORDTM3DP0jGpip7vdXa3fM0kgAAJib9k1M64+/eXt4vcCpb+QYb18ASEEQzjCG/hGNNGsoCgAAuhev8KShKPKM4AYApKAmc4PgRqKk+RVTLgAAeifev4qGosgzghsAkAIb9txIeSAZlnT2yDQ4o1SuuLroa7fqzo27+z0sAADmjLLr1lwvUZeCHOPdCwApqM3cIHUjSWJZSuz6dMWblG3aPa7rHtymv/huQmNSAACQKJ65wZwEeUZwAwBSEAY3HFNX7wpPUpZGfFMwKQs2MycDAKB15UrtjrPiNrgjkAMENwAgBdGyFFZLSdZKT7MguBGUsPBaAgDQunjmhstZAuQYwQ0ASEEwdyg4vWsomudU0guedmjdtuTVUmq3loPMDX+zyxknAABaVia4gTmE4AYApCCYOxhjepZrED/7kieHLRmq2+a00G31Zw9ulcQSsQAAdILMDcwlBDcAIAU1ZSk9mkdUcjwhSYrLtBKv+Lfr1nn39aMbTMoAAGhdfLUUem4gzwhuAEAKoqulqEe5G3kuyUjKOmklG2NiuiKpWpJDbAMA2met1V/919265dFdaQ8Fs4zMDcwlBDcAIAXB1MFbCrY3z5nnzI2kfiEFZ+Zd1OMjE/7j/eehoSgAtG26YvW92zfrdV+8Ke2hYJbFe27kuX8XQHADAFIQTB6M6VXeRr57biQFZoot9NwIuGRuAEDX8hwkR2fu3TxSc52yFOQZwQ0ASEFt5kavylLyOylNGnqx0E5ww/s3v68AAKSHAPGB6+Ir76u5TlkK8ozgBgCkoNpzo4eZGzmekCQFZjrL3MjvawAAQNoIbiDPCG4AQCqC1VJ613Mj35kbVgOF2l1SsYWeGwEaigJA5zigRSDPcwmA4AYApCCYOzhO78pS8py5UXGlUqwMpdBW5ob3b35fAQBIT453H+ixCu8F5BjBDQBIQT/KUso5npFYa1Uq1u6SSoXWdlHWWspSAKALZG4gwH4UeUZwAwBSEEweelmWMj5d6c0TpWSoWKi53mrmxmTZlet3d2dKBgDtoxIB//qap0vK98prAMENAEhBP1ZLGZvKb3DDSioVa4MZ8TKVRsanKuFZR2qFAaADfHUe8A5bMiyJQBfyjeAGAKQgLEtxpP1TFX3jNxu6fs6xqXLXz5EWa62MjH7wjt8Ot82UufGyUw+VJE27bvh6MicDgPZRloJgl8t7AXlGcAMAUmAjq6VI0oeuuE+bdo119ZwTOS5LsZKMkU4/cmm4bTBWphI34PfoqLjVnhtENwCgfXx1wvjzETIgkWcENwAgDf7cIZhMSNJ0xe3qKd3uHp4qa6V4nsZAsfkuatC/vVyJNBTtx+AAYI7jbD2CfXCeV14DCG4AQAqqPTfqt3Uqz5NTL3Oj9aVfJWmgEM3c8J8nx68BAKSFr84D1/wBL0vy1MOXSKLnBvKtmPYAAOBAVF0K1tRt61SeJyRezw3PD//0OXp8z/iMjwkyO8quDYMaOX4JACA1BIYPXEcsm6ejDpqngmO85el5LyDHCG4AQAqCLItCTXCjuwlFnickVgpzYk9ZtVinrFo842Nqe2542/KcvQIAaeGb88BVcW14osUxhqVgkWuUpQBACoKpQ7QSo9v5RK6nIwk9N2YyUPBSaacrbrXnRq5fBABIB4HhA5drI8ENx+Q6CxQguAEAKQiyLGrKUroMT+R9ctp2z41I5saaLSP+c/R8WAAw53FAe+CytrrvdEz+5xI4sBHcAIAUhA1FI9/C3a52kufJaSeBnWjPjY/+6AFJUqnAbg0A2pXnskZ0x7VWBb+7ecEYloJFrjELBIA0JDQU7fZsSZ4np0lLwc5kMJK5ESC4AQDty/HuA11yrWp7bvBmQI4xCwSAFASZCqanwY3q5dUf+JF++fD2rp5vNkXTYlu1cMjriV2uVFNedu2f6uWwAOCAwPHsgcu1tlqW4hjeC8i1TAY3jDHvNsbcZ4xZY4z5tjFmyBhztDHmZmPMOmPMd40xA/59B/3r6/zbV0ee54P+9oeMMeel9fcAQFwweShEDujLXaaCxoMjP31ga1fPN5usrEybuRsrFgxKkvZNlmu2T5YrPRsXEHfjuh2arnRZQwZkDH0WDly2JnNDrJaCXMtccMMYs0rSn0k601p7iqSCpNdI+rikT1prj5O0W9JF/kMukrTb3/5J/34yxpzsP+6pks6X9FljTGE2/xYAaMQmlKV0O6GIP3zJvIGunm82dZK5sXLxkCRpZHy6Zvv2fZO9GhYQWrdtVKs/8CO97ks365PXPpz2cICe4nD2wOWtluJdLjiGQBdyLXPBDV9R0rAxpihpnqQnJL1Q0vf8278u6RX+5Qv96/JvP9d4ed4XSvqOtXbSWvuopHWSnjVL4weApqpLwVaP6MuV3vbccHK0ckgnf/lB873gzehEWc89fnm4fbrL1xFIcu+WPeHl9dv3pzgSoPc4oD1wRZeCNYbgBvItc8ENa+0WSZ+QtFFeUGNE0u2S9lhrg9zjzZJW+ZdXSdrkP7bs3/+g6PaEx9QwxrzdGHObMea27dvzU6MOIL+CyUO0/2Uve24kXc8yL3OjvWhMsVBtKBotE6h0u+wMkGDZ/MHwspO52RPQnWhwPM/NqdGeX63drq17J8P9r7daSsqDArqQud2zMWapvKyLoyUdJmm+vLKSvrHWfsFae6a19swVK1b081cBgKRq4GGwWK2W63XPjXxNUG3bq6UU/MlY2bU12Rrdvo5AkmIkFcppt4YKyLjo7qJf2W9Xr3lS3799c1+eG51545dvkVTN9HSMWC0FuZa54IakF0l61Fq73Vo7LekHkp4taYlfpiJJh0va4l/eIukISfJvXyxpZ3R7wmMAIGXe5GG4VA1udJtxED+mz9sxfrvHiwV/NnbFXVv02M6xcHu35T1Akuj7k+AG5pro/qJfZQl//M3b9Zf/dXfXz3P5bZu0Z4yVsXopbChKzw3kXBaDGxslnW2Mmef3zjhX0v2Sfi7plf593izpCv/ylf51+bf/zHqnK6+U9Bp/NZWjJR0v6ZZZ+hsAoKlg7jA8EA1udPmcsc4V8etZ1slcKjiT/uCT+7RjdDK8zsQM/RBdzSdP/WyAVkT3F/3Ofrt380jHj127dZ/e97179BffvauHI5pd1lpt2zeR9jBqVDM3WAoW+Za54Ia19mZ5jUHvkHSvvDF+QdL7Jb3HGLNOXk+NL/sP+bKkg/zt75H0Af957pN0ubzAyNWS3mmtZX1AAJkQzB1qgxsHbuaGVfuZG07sCDPIgqEsBf0QLfOKv/eAvIvufvq9FOiNj+zo+LFBycyTI9kKDrTj+3ds0bM+dp3WbOk8yNNrJb+HFUvBIu+KM99l9llrL5Z0cWzzeiWsdmKtnZD0qgbP8zFJH+v5AAGgS2HmRql3PTfiPTbydPbFWltzZrwTg6WC9k2WmZihL6JvK8pSMNdEM976/R26ZF6p48cW5kCG3k3rd0qS7n98r05ZtTjl0XiCBt2UpSDvMpe5AQAHgiAFuBA5A9zthLJ+tZT8TFA6ydyIGx6orp4C9Fp0wk/iBuaa6IpT7+5zycdQJKjfrmCFsTx/zwdZEtMZWpakVPB7brAULHKureCGMWahMeZDxpgbjDFrjTG/5W9f7m8/qT/DBIC5JZg7FHsY3IhPSPI0QbFWXeZtVLNg8jzpRXbVBjeIbmBumSxXD7Svf3h7iiNpLvjs5fl7Pvj6yNKfEARcWAoWeddyWYoxZoWkGyQdI2md/++wJFlrdxhj3ixpiby+FwCAJoI5TTRzo/ulYGO/I0MTp5lYqevUjW37JiXRcwP9EX1X0XMDc83EdP/b0i0eLmlkfLqrwETw0DwvV1rx+4Zk6Wuk6GduGJaCRc6103Pjo5IOkXSWvBVNtsVuv0LeyiYAgBkEJSPB2RKpF2Up8dVS8sPrudGdPWPTkrpvzAoksZSlYA6LZm70S/AZ6mZXFz5Hjr/mgwD89Cy85q0KMmI27x7Xum2jKY8G6Fw7ZSkvk/RZa+0dSp4zr5d0RE9GBQBzXHCc1N+eG1093azrNtP/ouccLan7JXWBJNGDKcpSMNfMSnDD/7ebkskgqyDPZSnB3z+VoZ3VtfdvlSSNTpbJfkSutRPcWC6vHKURV9JQd8MBgANDPxqKxieMNke5G73ouTFYDBqKZmfCiLmDnhuYy0bGp/v/S/yPkNvFvi7YT+a5dCIMbmQoc6PQQjrayFj9e+Ty2zbpPX1uQAu0o53gxpOSjm1y+zPklasAAGaQlLlxIPfckCTTwQHjHz3/mPDygB/c4KwT+iH6tiK2gbnm8T3jff8d1cyNLp6jBwGStAUr02QhuLFwyOtQ8KU3n1mzPV7meuO6HTrtI9foFw/VdiV43/fu0Q/u3NLfQQJtaCe4cZWki4wxh8ZvMMacJelN8vpuAABmkLxaSncTnTytjhLXaZbJ+847SQN+35KBIkvBop/I3MDcVZ6FEolqz40DO3NjfMpr3jqZgbKUVUuG9eKTV2rRUKlme/wkwa0bdkuS7nhs96yNDehEO8GNSySVJd0p6e/l7eXfbIz5tqRfSnpc0sd7PkIAmIOSVkvp9TwnfuYlyzotSyk4Rk87fLEkhUEOghvoh5rMjfSGAfTFbH5tHug9N8b9lWkmp9MPblRcW3OSJRDPKin7J1+KheRDxzzNNzC3tRzcsNY+KelsSTdLepu8ffsbJf2BpGskPddau6sfg0Rr9k1M8+UC5ETSZ7XrzI3YZC9Pcz9rO0/1L/gPpCwF/RQ9IMvzWWMgyWy8pcOylC6+o4N9576J8qwsX9sP435QIwsNRSvW1pxk+ZMXeB0I4g1mg/1qo94cs9GQFmhFO5kbstZustZeKGmZvCVhz5a0wlr7cmvt5n4MEK15YmRcT/vwNfryDY+mPRQALQimdtEJZa97buTpIN/KynR4PjyYbJG5gX6Kvq3yXO8PJJmNssawX0YXvyoaD3jTV27pbkApmfDLUrLQcyOeuXHksnmSEjI3/Bc+KctDykYWCiC1GdwIWGv3WmtvtdbeQrZGNgRrUv/swW0z3BNAJiRM7ro9YIr3rcjTAZi16jjXv1jwHhgEOfIU1EF+RLOteI9hrpmNzN9gH9VNICX62FsezechyNh0WVI2ghvlilXBqR4OBicJJsu1WTHBd16jspQbH9nRp+pWcOwAACAASURBVBEC7Wk5uGGMebUx5htNbv+6MeaVvRkW2rV/0vuinD9YTHkkAFoRTNCiAYleZ27kKXW+i9hG3ZmkPAV1kB/Rg6o8N+8FklhJi4aqc8h+BDuqmRtdBDfmwPf7+FR2VkuJZ24MlrxDw+jYpsquvnvrJklSqZC8p/6Tb93Rx1ECrWsnc+Ndkpp9CiuS/rS74aBTUxXvyz6oOQeQbUllKd2WU8Qno7maBHbTc8Op/d7jrDr6oZefVSBrXGtVKjh6z4tPkNTb9/iWPePaOToZ7vf+8+aNHT9Xs6D9xHRFqz/wI11+26aOn382BL1CstBzo+xaFSIBiyBzY+veyXDbP137kMb8UpoFnERFxrVzJPwUeSulNHKnpJO7Gw46FQRdaSgK5ENS7XH3mRu1j89X5kbnPTeCM0nBX9ttY1YgSS8/q0DWuH6AOZhP9vIt/uzLfqYzPvrT8PqGnWMdP1ezce0dn5YkffzHD3b8/P3yq7Xb9cJP/ELrto1WV0spp98QteK6YVNuSRosFSRJb/jyzeG2+7bsDS8PFB1d+sP79Ub/9kaZHEBa2gm/zZeXndGIlbSwu+GgU47/xcScHsiHoBxl3kAh3NZ95kbt9bwdgHWeuRFEd71/8vZ3Ix9qylJ4j2GO8VasMnL879O+lF5FnnL/ZLmjUupmn70goJ+1lTustXrjl73mp+/93t3hvj4LZSllt3a1lIGEnhrRcbpW4eIFo5NlDRQcTVfSD9IAgXYyNx6V9Jwmtz9HUud5ZuhKNdLOhAvIg+CjeuZRS/WJV52mwaLTdXAj/vA8HYB189UV77lRqeTn70Z+RDMjeYthrrHWyjGRk2X96LkRiW489eKf6Ob1O9t+jmb7yWDFjixkRASstTWNT3ftnwovZyG44TbouRE1HllyN/o9+LlfrKMcHpnTzjvyvyW9yhhzUfwGY8zbJL1K0g96NTC0pxdNmgDMnvCTaqRXnnG4Fg6Vus44iJel5akvgFXnmRvDfvaL6UM6NRBgKVjMZa71SgP7UZbSyN2b97T9mPg8N7rfCzI2srTvu3rNk3r1F24Kr09EAgV3bx7RVfc+kcawQvGeG4MJwYq9E9Ph5ehru3+yUpP1AWRBO8GNyyQ9IOkLxpg1xphv+j/3SvqipIck/V0/BomZubb2XwAZ50/Igj4TRcd0fcAUn/TlKdhpbec9Nz5w/lP0tmcfrd99+mGS8tVrBPkRvK2WzCupTA0o5hhr1ffMjXjQoZNfUb+fq14e9VcOzNJceO220ZrrQ6VCzfV//ena2RxOnbrVUoqFuvvEy1ICS+cNqPN1zoD+aDm4Ya3dJ+nZkv5d0qGSXuf/HCbpc5J+21q7t/EzoJ+CL/s8HcwAB7LgkxpkGxQco/ueGOmqKXCee250k7mxeF5JH3r5yRosFuQYGiujP4L9a9FxlIFFDoCecoOeG2EPt95/j8afcrqFD9KFn/m1Lv3h/Q2f4+o1T2q/H9T4/c/d2PUYe+2fr3245vp0BkpRAtZav+dG9XAwKXPjlFWLw8vRQMfYdFkkbiBr2iqUstaOWGvfIWm5pJX+z3Jr7buste3nlqFngklXllLxADQWHH8HE8kte8a1ZstefauLJfLiH/88fR+0E49YONS4CZ1jTK7+buRHEDQbLDotHZQBeWKtlTHVMr+xqUrfe0K08lV996Y9YQNLqX6/9s7/vEN//d/39npoffP4yIQkaWEGllQNXspo5kYxYfUTa6Vl8wck1fbf+J87t+iQxUP9HSTQpo66wFjPdv+HWWQGBMEN0+mpTwCzKvzMxrbf93jnCXC5LktR699ft/z1i3TfJecl3uY4JlMpyZg7gvfVUMnJRCNAoJesvODwoqGSJOn9379HJ/zNj/saLI5nNcSVE4KISfu1R3fs79mY+unsY5aFl1ctHU5xJJ6gvC7aN6OQsB8uu264ikq0Z8jWvZNhmc2phy+uexyQhobBDWPMkcaYI+PXZ/qZnWEjLij/JbQB5EMwP4vPI3oZn8xVBoO1LX9/DQ8UGi4h6Jh8BXWQH8H7aqhU0BSZG5hjXD9zI8iM+9XaHZKksalyamOaSAgiBp/D159VPeS4Z/OIbvDHm2XPPnZ5eDneeyMNwbFDNLixYuGgJGnVkmrwpeJalYrefYL3w/IFg97+1p9nlFlCChnRLCdqgyTXGDPPWjvlX2/lnZv+p/UAxGQeyJew50bskH7L7nHd/thunXHU0raf07VWQyVHrzrjCN29eY/y1POwm54bUQXTfWNWIEmwmx0skrmBucdrKGq0aLhUs31sqqKFQ6UGj+qvpM9ZEFcsFWrPz/5q3fbZGFJXspCtERVkbkTLUowxOuOopRosOmFPjnLFhpkb41PeY5bNL2nH6GS4Qg3HIciKZsGNj8ibb5Zj15FBfKcA+RJW9MUO6K9/eLuuf3i7Nlx2QdvP6Vqr+QNFXfqKU/SGL92c6hm3TvQiacUxhtVS0BfRzI39k1MpjwborSBzY1Gsp1HQrDMNSb1tguD1QKzx5b9fv35WxtSN4w5eEF4OggJJPS5mS5DdGV/OteD3rvrKrzfo0h/er2NXzNeAv4pK0HNjybDXg+PeLSM1zwWkrWFww1r74WbXkS1M5oF86mUZyq/X7dSuMe+gy3GM8pQl2quvMKcHS+oCSWoyNyhLwRxjrRdgjmdpjE1Vkh8wC5IyN6qrFjXfebqulZOBpTyOWTFf67d7PUFOPnRRuD3oXXHf43s1Wa4kLsHab8GKavHX0nG8YMUP7tgsSdq4a0xPPczrqREEuxbPq32fcByCrGipoagxZoEx5ivGmFf1e0DoTLWhaMoDAdCSBokbHau4Vo/u2B8+b8H0Zym/frGyPWmIXKChKPqkpucGZSmYY6ysHGPC8oNAP5cUn+krfzKpLMX/HMbLUuKiq3qkyXWtCo7RFe98toqRMb/tOUeHl299dHcaQ4tkbtS+lgXHy9wIgh7TFav5g17wZe/EtCRpSax8KU/zDcxtLQU3rLWjkl4jadFM90U6+E4B8sWqtyscxSdyweQkL4Kzht1yDGeQ0B/V1VJoKIq5x3W9sr7Yca4qXTZv2rZ3ouFt1kZKNBMklaXcuXGPJKnUoJxjvr+U7f6MlGVWrNXvnnaYTjtiiSTplWccrktfcYreePZR4X3SCsQ0ytwoOI4qVjXBmOFSQcZIe8f94AaZG8iodhZZvl/S6j6NA11iRV4gX3qdubF2676a63kLblR6lEK8Y3RK924e6cGIgFpueMbYaPu+SVnbm2wjIAuCnhtO7D093WV942/W72x6e8W1DftOJAU3vne7VyrRKHNjybwB7Z8a19hkRVrY5mD7IAgaBT7xqtPq7jORUnCj4v/fxve9QeanE/l/KTqOBouO9oTBjYHwtuULBsLnAtLWUuaG7x8k/Ykx5oR+DQady9NBDIBqd+b4RLJTH/vRAzXXC06+Gmu61qrQo9ciaHAG9MPlt3kHVz+854mURwL0jrdilalrLtntEp8zBQCbTV+blcQ0Cm4cscxbkWT9jtGZBzcLXGs1QwVNTebG3131gG7bsKvPo/JUGvQvmTdQ1L6J6Zpji0LBaKhU0Pa9k5Kkg/0lYyUvmy1P8w3Mbe0EN06StEnSvcaY7xtjLjPGfCj287d9Gidm4Pb4LDCA/up1n5xTVi2uuV5wnFwFPV1b37EdyJJ4TXlwBhOYC6y1cpIyN7osS5npa73ZEqLNspKjZSlHLpsXXj5xpZeu8cAT++oek4aKaxuexPj8G86QVM3ccF2rL/xyvV75+d/M0ti8/9t45saxBy/Qxl1j2jdRLe0pOUaDRUf7/IaihyweCm8bLhVEpR6yop2ylA9HLv+fBvexki7teDToGGUpQL7EP7JvPPso/cdNj3X8fPHgxmDR0WRGGqq1wnUtDZGRafFY4UyrNQB54lov2B4PMndbbtDowP75J6zQ9Q9vbxqEb3rA7D/vQfMHdNIhC7Vx15gkacjvuXHt/Vv1znOO62zQPeTaxiWXzzthuSRp3F+RJqmBaj816rlxzPL5cq20dls1+6XgOBoqVVd0WRHL3HAty2MjG9rJ3Di6hZ9jej1AtKZZ5BtAdgXzvktfcYpWHzSv+Z2biH8HDJUcTeRoRYeKtT3N3Fi3LRspyZg74p+xXpVRAVngZW6YukyLcpeZG/FPyaIh77zqYn+1jWblDPHPXHAi77DFQ1rqN7RcPK9UExgPMqzu2rQnEyf+Km7jkstgZZpv37JR67ePznrvjSCwFA9ADRTrDw+LfuaGJC0YLGrBYPX8uJe5kf5rDUhtBDestY+18tPPwaIx0sGAfAkmXSYy9etmnfv4JG6oWAjPBuVBL3tuSNKL/vl67ZugbAC9E3zGvvqWZ0qSFsWWQgTyzPVXrIr3yOi2oWj8+f7qvBP1pt86Sqce7mUbNltCNBrcqLg2zDR47bOODPcXjjE1+1HHMXrW6mWSpLEM7AMrbuPAfbB9w84xvfzfbtBEOZ3gRv1qKfXjDXpuSF5gajiSxTFYylcZLOa2GYMbxpjXGGPuNcaMG2M2GWM+aoxpJ+MDs6Bav8+ZJCAPwtVSIh/ZpLMlrYrPK4ZKBU2UK5k4c9UK1+3999eOUdJk0TtWXv+Aw5d6DQuTVnIA8qpR+US3B63xp3zaqsX6yIWnhA1Bmz19NGmk7LrhWAoFE47VC8hU7/fsY5frglMPlZTeEqtR1jYuzYnu8/ZPVTQxPbvfKeHrGftPSiq5K0UyN4YHChoeqAY3yNxAljSdSRtjLpD0n5KeKmlU0qGSPijpsv4PDe3IywEMAE/wiY1OIboLbtSXpVgrTeXkAKyVjvKteOPZR4WX48vjAt1w/bT94KCM4AbmknLFquTUfwl3+z6PH9g7YcaFd73ZQXF0v1au2HAsJccJMzeiy9e+65zj9LwTVoRZBVnIXqz4jVpbMdtlKcHrGw9qFRN2xtGeGwMFR0ORTFNWS0GWzDSV/HNJOyWdaa1dIekQSb+RtyTsYNNHYlYRMAXypZq5ES1L6W3mhqRZPxPUqWYd5dsxGUnrfce37uj6+YCA65+BLfmf026XyASypOy6ieUIzZZjbUU8XhIGN/zf1axnXDy4EXzmioXqkrVGRicd4q2QEpQiBlkFsx0sSNKsLCXupf/6qz6Pplb4eraQuVEsVDM3SkWnJiAyXCo0LS8CZtNMM+kzJP27tfYOSbLW7pD015LmSXpKn8eGNpAOBuSLVdBzo6qbhpp1PTf84EZeVkxp1lG+m+cEesW13oo+wRKUecmKAlpRdq2KhYTgRpfv83i5YXA1yLxoOXPDdWtW9wjLUoz06mceoUMXD+m1Zx0pSdXMjQzs//qxb+uVINsifmIhaS7iNRT1Xte7N+2puW14gMwNZMdMS8EukfRwbNtD8ubjS/oyInQkOLChPAXIh6SeG92InzXJW+bGjtGpnn9/EfNFL1l/qcwgdZ+yFMwl5YpNPGPfdeZGg+BGcMDfNLhR03PDhsGOYsGpaUB98KIh/eaD54bXg8yNTJSlNFktJW3B6xsPaiW9DwqOqV/6xjfol8G6bnYDOThwzJS5YSSVY9uC6zQVzZBg38BkHsiHcLWUyKQnemzf7oF+PEN+qOR9Rc929/VO3P7YLknSt2/Z1PVzRV+2lYuonkTvBEtlBmUpBDcwl5Rdq0JCz41el18FwY7ggL9Zhl2lJnPD1pRRBENNakQ9lKnMjfqeFlkRLPPbSubGQMFpOC+ZV/LOlZO9gSyYKXNDklYbY06PXF/s/3u8MWZP/M5BCQtmV7BzIA0byAer+qyN6Bms4Cxxy8+XsBSslI2a45ls39efVU1e8YxVfXleHJjCnhv+Wc5ul8gEsqRcccP3dtS0210QL75vqmZuBLe39thyxdXO/d6+olgw1YaiCY+bl5HMjSCjst3Yxqolw30YTb3gmKF+tZT6INdA0VH8rfDFN52pZfMHdNP6nZK8OUyp8xXtgZ5oJbhxqf8T99kG9+dtnYJKWJaS8kAAtMTa+klZ9KyHa62cRjmgCeKBzWKuDsD6M0YaPqKXwp4blKVgDpgqu3rJJ6/XxS9/qs456eCGjS+7/R6N75ucMCjRSkPRyDhcq9/77I2SvIPvQqTnRlzQc2Ms5eBGsE9vVpZy+R/9lkbGp1VwpLd97TZJyX/T7v1T+vjVD+pvX3ay5g+2cvjWwviCspS61VLqBzBYdML/q/OeulKS9OKTvX9v3eBlX3KCFVkw06fjklkZBboWfJ/wxQLkg5WtS6fdsW8yvNxuiVlw/5v/2qs7Dpar7LYZXJ5NlQ/cvx29Z/3MDccxKjqG4AZybeveCW3YOaa/vWKNbjjphSq7NtxvRHXbcyN+tj/Y6wW7v2bPHs1mjAZZSoVqQ9GkVbbCzI2UMxeD8TcrS3nW0cskeVmWFzztUN34yA5NJuy7vnTDen3n1k06ZsV8vf15x0ryAh4bd43ptCM6a4NYaVCWsiASPPmdpx2iq+59UgPFQvh/9X+ecXjN/VtpDgvMlqbBDWstwY2cCFLfCG4A+ZCUubFrrFqe0e5nObj/4uGSpOqZmG4nprOhX19bHHyil4LMDck7s5mPrCigNeVK/VKwRcd0HSCP78uCoH7wb7P+UtHHRr/PC061/0NSKU1WGoo2KvtIMlQq6DOvP10fvvI+/eCOzXW3B9kaG3eNaWR8WouHS3rVv/9G67aNasNlF3Q0vuAljY/vkMVD4eXg/2mwWH3N439O8PguK5iAnqAp6BxBQ1EgX1rpudHW8/n3D87AFAv5SZ0PltR8znHLu36u6MvGUp3oJddvKCp5qxB94ZfrOVOJOeG+x0f0+MiE7n98ryTpH195qj76ilM0UHQSswjaEf+IBAfGwb/N9nXR4Eb0s1YsmHBcSdkm8wa8QMD+qfiaCLPLDffLrT9msJT8mgfLsH7zpo067ZJrJEnrto1KkiY7bBxeaRB8ib6mwXdeqeiEf08867QQnkxhn4v0EdyYI4IdAEvBAvngZW6Yum2BtjM3Yo3LgrNZ/e478cEf3KPVH/hRVwd5wdm1f3jlqb0aliTKUtBbXllK7bZt+ybSGQzQI9ZKtzzq9Uy4/wkvuPGqM4/QG84+SgsGi9o/2V2AoL6haLznRuPH1i4FW71Scpzw+32gWH8oU3CMhkqOdu/vT7PqVoVlKW10Bx8sFjRZdutet6QMlcDoRGf/R0FZSrPMkmAuYiKX43cPl/XlGAQZQHBjjqiulpLyQAC0xKq+LiUaIGi/LMX7N8zc8Jse9utMysj4tCamK+Hyrd+5dWPHzxXURQ/3uM16HrJWkB+urT9jSeYG8iq6izl86TxJ0h8975ia+ywcKmpfhwfOgZkyN75182PaOzHd4LHVB0+Vq5cLTrUsbDAhuCFJJ6xcqAef3NfhqHsjOOnQSllKYDBcajoWFGrymNEOA1BhWUqT4EulUv0bnrna6w8SvF8C4bK+7HKRAb1pt4vUBctj0XMDyIkZV0tp7+nCsyuxzI1+9QU47ZJrdOLKheH1a+7bqtefdVRbz/HQk/v0+J5xTUx7M6KgTrpX6ImAXrLW1p2xZDKPvKrJhPD3Fy956iE191kwWOz4wDnQcLUU/7P0jd88pr3j0/qX1zyj7rHR4OH4dHUcpYLRCSsXSJJeftphib/3oPkD2j46mXjbbGlU9tFMEOTfP1nWQHEg3B4vVYlmdnQagAqDLwlZId5rvDD8Gxxj9CfPP1bnn3KIjl2xoOa+QRULmRvIAjI35ogf3fOEJDI3gLyI1u+H22p6brT3YbZ+s0MT67nRzxrYh7ZWz4p1Elg9719+qbd+7VaN+3XRjc7AteO0wxeHlylLQS8lfWaZzCOvkjIF4wfhxpiuT5o1enw0C2png/KR/ZGGoPsnq5eLBUdHHTRfaz/2Ul349FWJj50/WNTYZHoNRT913VpdfMV9ktorSwlWKrl7856a7fHgxthUJQwQdRqAChqOJ2VuPHjpS/W/73qODl86LEk6aMGAHMfUBTYkr8GrJP30/q0djQPoJYIbc0C0kzU9N4B8sLa+oegLTlwRXm4WqPz5Q9v08n+7oeaz79raCVSwWkqr2Qu790911RV/1ZLhjh975d2Pa7hUqEv578Qbzj5K1777eTrr6GU0FEVPuUnZVpxRQE5FV9JqVJ7QTiPMJJt2jWnTrrHa53SCnhtVEw2WbI32+/jL/7o7vBzs35KaiQbmD3SfddKNf772Yf3oXu/EYzvBjWn/hMRlP36wZns8WL93Ylrz/capnWZuhFkZCS9jwfGW233/+Sfp8284IyxJSbJwyBvHxVfe19E4gF4iuDEHRKO5lKUA+WBVf6D06dedrv/7nKO925t8lv/y8rt175YR7Rmv1im7sZT5YNLXSkPRyXJFz7j0Wv3tFWtaHn9cu0vORv++TbvHNVTqze7IGKPjVy7UQNGh5wZ6yib03GCfi7yq1AQ3kg9ynS4yN/ZPlvXcf/i5PnHNwzXbg09Q9IB/vEFwIxqciB7cF5s01wzMHyxqLOWlYANNYjB1Xn3mEZKk049aWrM9HqzfO17WkF/C0mnj1CBbtJgU3fANlQo6/5RDGt4uSUvnDTS9HZhNDXtuGGPe1MkTWmu/0flw0InoF77rehHw6YqrhUOlFEcFoJmkA6WhUkFHLZ8vqXnmRhDEqFkmz9qa5wsmf62UpQTfIVfe9bj+/vc6W7HEbTO4cdP6XeHlimu1eyy5oVynBgoOZSnoKWtt3cFfv1cjAvql3FJZSud9Zd77vbsTt8d7bkjSmi17E++7fV9yz4xW5rfzBwvaP1X2SzaNHtu5X8//x1/omxedpecc3/2y4424rtVXfv1ox48vFhwdsmioLpNyquxqwWBRf3bucfq7qx7U3olpDQ94X0jv+/49+oNnHtH272pWltKOow6aN/OdgFnSrKHo11R/cjG6FzcJ2ySJ4MYsi2duXPjpX+uhrfu04bILUhwVgGasbGL382Bu2SxzIwhiRO9ibe0EpeQkd1xv9nzdZNi323ugURpyr5QKZG6gtxL75JC5gZyqRKIWlQYHucYYb2WvDqzdOpq4vbpayswH1Fv2jOvwpcPavHu8ZvtB82fOFJg/WJS1XlbIvIGibn9styTpe7dv6mtw49YNu/TRHz1Qs+35Jxzc1nMMFB2NT7u6bcMunemXg0yVXQ0UHZ19zEGSpJGx6a5XGHMbZOy0a+WiIUndlacCvdLs7XyOpBf6/54j6SWS7pK0SdL/k/QK/+dv/G13+vfBLIuenbS2tskfgGyySXUpqk74mgUagrNZNWfe3NqylDBzo40D/OBArVxxNTLeOJMiKfDSSmDkyZGJps/bS15ZitX5//JLvfHLN9fdfvP6nVqzZWRWxoK5IdrX5h9+38twoucG8iq6a3DD3gv1PTc6fYvPG2xw/tTE/vUl7Ve27B7XmbHyjOcevzwsx2hmvv/7R/1+FEGpZr9X0dqakG1yyOKhtp5joOjof+9+XK/8/G/CoMxkuaKBgqNFftbK3onpll6HZoKTEs3KUlp1/lMP0fzB3q54BnSiYeaGtfb66HVjzEckDUl6mrU2evR8pTHmM5JukvRcSdf1Y6BobLJcPQPKWSQgP5plbrTyWW7aUDQsS5n5eYJJpZV096Y9+uKv1uuH9zyhR//+dxKbfCYd0M1UllKuuDr7773dw4bLLqjL3PjEq06bcZzt2Lx7TI/u2C9JevDJ+oDvq79wUzgWoBWurWZbHbxoUJJ3cHDVvU/ISHrp0w5NbWxAu8qtZG7IyNrOMuAa5WUEvyOeuTE2VQkDEpKXmbBlz7hef8iRNff74+cf29LvXzzsBQFGxqd18KKhMLjR70bTY5E+Ia94+mH6q/NObPs5BiJNOp4YGZe0VBPTrgZLjhb5f9fe8elw/3zkss7KQoKx9iC2IWOkh7eOhmVAQFraeTu/RdJXY4ENSZK1dq+kr0p6a4/GhTY0aijKGSUguxpNAKolIjN/fqNnoFx/KdhAUJYS71SfJPiqmCq7uvAzv9YP/aWlG00CkwImM33fjEWCGa5r9SffuqPm9sPaPLM1kzs27pn5TkAbrKp9AoLeBBXX6h3fuqPu/QxkXVJD0XjPDcepLX/sxrvOOU6rD5qnZX5JSXzvd9/jtX039ox7TTJXLhzS9e99Qbh93kBr2QHR4IYklfyA/7a9E+0OvS1BUF2SDlsyrMOXth94GIgsix783+wYndTyBYPhyiT/cdNj4YmJ+Y2yZGbwqZ+tk9R9zw1J+vGaJyVJP7mP5WCRrnaCGyskNftGKUhqr6gMPTEZK0sJ9LumHUDnogdKUU5CP42oOzbuDi9Px5aBjqYUB5e/c+um1gaTYGIqObiR1MtipmBM9PsoKZOi08kZMFtspOdGNLgB5FFSQ9H6spTOV0uJ79/e8uzV+sV7zwkD+PHMjfseH5HrWo34zaV3jHrBjfmDBR110Pzwfq3uK+LBjeCz+sRIf4Mba7dVe420GoiJiwY3gtLzrXsntHLRYJiB8sj2/eHfNtnlfD8e1OrG/hSX3wWk9oIbD0r6Q2PM0vgNxphlkv5Q0gN1j0LfNSpLoYs7kF1JzQmlmctSnthTnZiVazI3WmvQ1mgsSTY2yPqYmO4guBEJlHzxV+vrbl8w1NvgxgWnNi4R2BA5swa0ynWrn7HgTGe7qwQBWVGpRDM3vH+TzuB3+haPP1N8/xQ/ni5XrI7566t02keu0aM79uv3P3ejJNX1aWo1YLAkFtwIMh237Zvsa1AyGjTa1+GBfimy1O3eibL+5n/u1SPb92v+QO1+cqcfAApOHkyWK/rurRvb/l7qZRkJFSlIWzvBjQ9LOlrSQ8aYy4wxb/V/Pi4v8HGUpI/0YlDGmCXGmO8ZYx40xjxgjPktY8wyY8y1xpi1/r9L/fsaY8ynjDHrjDH3GGNOjzzPm/37rzXGvLkXY8uimqVgI99nTmoEfwAAIABJREFU052u3wWg76xt1HOj9ZVLop9xL1jS2VgaBSb+/sfJ8eqkrLCZJosTkSDsf9+5pe72FQsHmz6+XR962ckNb3vBJ37R09+FA0O09CvM3KDPFXIqOAi31obv43jvBceYDtdKqT9grts/xa5/7Krq/uauTdUMxWB1kED8AL+ReObGVKW6D3rgCa8ExnVtwybXO0YndfEVazQ21V6AYnSi+ny/fWxnq7L8et3O8PKesSl986aNkqRzn1KbID/qB0/G/X3yZ362Tu///r26as0TLf2e55+wQqcdvrijMcY9t48r0ADtaDm4Ya29QtIrJU1Iep+kL/s/7/W3vdpa+z89Gte/SrraWnuSpNPkZYR8QNJ11trj5TUt/YB/35dKOt7/ebukz0lhNsnFks6S9CxJFydlncwFQVnKsSvm1xyksAwikF3funmjdu6fqttuIpkbu/ZP1WUZRJfli2duxCeThy8d1vEHL5hxLI0mr/Eu9YFotpjkBSZmShR7z+V3JW9/8Ql673knhh3ge2WoSNd29Fb0MxakjU8mZDEBeRCdL7oNGoo6pvmy5O1IKnlpRbQkRZKGW8zcCBpv7vHLXKbL1b8jCAp87vpHdNol14QrkEWd+0/X6+u/eUyXXHl/uG18qjJjyfdoJFtj1ZLOeklFX5p/8/tiHHfwAp1/ipeR+IN3/HbN/YNsyj1+oOby2za39HvcWDlrNy7zV5BKyuwEZlNb/XGttf8tabW8gMFr/Z+zJK221n6/FwMyxiyW9Dx5gRNZa6estXskXSjp6/7dvi5vGVr5279hPTdJWmKMOVTSeZKutdbustbulnStpPN7McasCTI3FgyVaur0KUsB8qfac8Pq+f/487osg+hnvK7nRmyOctzBC1pK4W2UudEoGWM8UmJy+9+8SIcvHW44AX546z59+mdrtWbL3rrb7v3wS/Rn5x6vd55z3IxjbFepSG4seiv6GZvnnz0eo7cVcqrcQkNRY4zu2Tyir/760Rmfb+veCX3g+/eEDTvjJ9jiwYxm39BBQCLJYLG1Q5eCY7RwqBjJ3KiOZ3zK+9ze+MgOSdKax+uXBQ9ODERPQpx6yU903r/8suHvHBmf1sNbR/Vbxxykd7/oBB27YuaTC0nmJSzx+uGXPzW8vDoW8BmfrmhkbDrcl//y4e0t/R7bRTlrXNDotN1MF6DX2l78x1rrWmtvtdZ+1/+51Xa6TlSyoyVtl/RVY8ydxpgvGWPmS1pprQ3yrJ6UtNK/vEpStGPeZn9bo+11jDFvN8bcZoy5bfv21r4QsmLjzjH96bfvlCQNl5yaA4x+L3cFoPeiZSn7JppPEqYr8bKU2klK0TEtLgWbvL3RGapoiclA0VHBGD345L7ERmJ/9u079YlrHq7bfvjSYS3scbZG1HDC5DDJhh37tXO0/qwdEGdV/XwGQcNxJvLIqYpbv9JefXaF9+8l/3v/jH0cLr91k75z66aw7LDY4LnC600yBnb7AYXlCwbCbcHldvpDLBoqad9EWdZa/eNPHgq3j/nBjSBjcGyyfl8X9IEan65+xqcrVo/tbNSLqqLTLrnGH6P05y86vuNeFknlbsevrAZKls0fqCsD+eRPHw7LV05Y2VpQpeJ2Xs4aFwRkRmkoipT1YGXjnitKOl3S56y1z5C0X9USFEmS9Y7ge5aWYK39grX2TGvtmStWrOjV086KH977eHh5qFSo7blBcAPInZkaika3lmMN4eLBjYJjWmqc1ii40ShAGg16DBQdGSNt3zepP/qP2+vuO94gQDLUYvChU/FJZaOJ+Qs+8Qud8dGf9nUsmBuifW2Cuv/RhIMiIA+C/YdVJHMjnl0Rud6oN0Vg1A/0BV+1hy4errm9ncyN3X7mxufecEa47dp3P19X/8Vzm44hbrDkaKJc0da9kzXj3+v3xQj2Q/FSS6n69z7uN/H+M/9EoiRdn5AZ8fie8fByt5nTh/mv3WdfH7YR1MpFtSUue2MnP75244bw8pLhAbWiUWPzThQLjgaKTpgVA6SlYXDDGPOoMeYRY0zJv76+hZ9HejCmzZI2W2tv9q9/T16wY6tfbiL/323+7VskHRF5/OH+tkbb56zhUoHVUoCcCyaTjfoBR7Ozym5tWUp8jlJ0nJYyNxoFUhr1E4jW1A4UnLAL/Q3rdiTcN3mi06s67lZFl8wGOhHtuTE04E2fWHIdeRUNfAeZAnVlKZHLeyeaBzeCnhbBSh9l19UxK6rlE/H9U7Osht1jU/5zVQ9Tls4f0EmHLGo6hrihYkGT0/V9Mrbs9gIRQYlLUp+IILjx6I79Ghmb1pV3V08mfubn6+ruf9/jXunlaUcs0b+97hltjTPufeefqAuedqjOaND3Smq+D51s8eRmL4MbklRqMVsU6KdmmRuPSdqo6onCjf62Zj8bux2QtfZJSZuMMSf6m86VdL+kKyUFK568WdIV/uUrJb3JXzXlbEkjfvnKTyS9xBiz1G8k+hJ/25wSTfuLZ25QlgJkl2OkP31hfa+JmTI3oqZrGorauolpy5kbDbY3+g6JZmMYYxpmiX34yvu0dW9yyccj22d3OdakM3NRsx1sQf5Ee24MFBw5huAG8qu6Wko1s61+udbq9akZAsTBfiBotluu2JrywLrMjSbH1NXgRncH3kMlRxPTrvbHysc+7QcnqsGN6uf4ns17ZK3V3kimx4f/976ax9/y6K663/VrP7j/tbc8sy7Lol3nn3KoPvP607ViQeNVxL70pjMb3tZquZxr6wNa3XBanHMA/dRwPSVr7QuaXe+zP5X0LWPMgKT1kt4qLxBzuTHmInmBlD/w73uVpN+RtE7SmH9fWWt3GWMulXSrf7+PWGvrv41yLrqzGIr13CBzA8iupNVNpGhD0Zmfo7bnRnJZSrmFJaEblWw0CggEE8Ffve8cSY2XgY2mycaddMjCGcfVrYGiE07IZ+rgPjHtttyFHwcmbylY7zNmjNFQqdBScGO64qri2r6XYgHtqMnc8L8e4we60aVhZ8p+C/ZHwXOUXatiJPOiWeAkbtMuL7Ni6bzWyisaCT6j+yPlY4uHSxoZn9ZkuaKl873n37jL66Pxq7Xb9cYv36K/ueAp2jE6pRNXLtRDW/eFy8pGjU9VavYZ0xWrhUPF8Dl7wXGMPvSyk3XaEUvqbjs4EkBxTG0D8L3jrQY36jM+u1F0TEsnZoB+am2x6Flmrb1LUlJI8tyE+1pJ72zwPF+R9JXeji67Fg6VtG8y2viIzA0gi4IgZNIJk2CisWVPctOy6IS0HMvciE9SCo5RpYUgZ8OeGwmT2clyJWwcGhyszXRGL+rkQxfp/if29nzp1yQ3vP8c/efNG/UvP10740HovslpghtoyltZoHp9qFTQF3818yoSF37617r/ib3acNkFfRwd0J6kspT4PslEClNmCm4EB7VBsLzsujXZxfXPXfUfFz1Lq5YMa8/4tH7vszeGwYblTTIXWrFgsKgNo/vDLIwLTj1UZx9zkP72f9bolw/vCAMsQclNEFT56I8ekCS94KQVemT7qOYNFHTGUUs1VHJ0xpFL9amfrdP2fZM68qB54e+aqrhdjzfJ255z9Iz3iZ9fSGpImvg4t7dlKQXKUpABWWwoija84MRqA9SVi4ZqDjLu2rQnjSEBmEGw70+aVKzbNipJetd/VpuXuQ0CGtM1PTfqn6/omJYmObZBYUrSZPbEv7lal/zv/ZIUBgPW76iWmMwURLjyXc/WO885Vv/0B6fNOK5uHbxwSMcf7GWIzDQxn2llGiCauSG1viTl/U/UL4MMpC0a3HD9VTPi2YTRqzOV9sWft1ypLZWMP3d0f/Xc41fomBULdPqR1R4TS+eVwhKXTq1aOqwtu8f1f79xmyTpL849Xk+OeAGMP/zGbWFAJijxLMbKYAaLBS2dP6Bd+6dUrrgqOo6ecqjX92NsunafMVWuaKAwu4dV37zoLF33l8+v295qmWXPy1KMmXFVHaDfmn4KjTE/a/PnutkaODzHHVxN7Y4vfRhd9gpAdrhNMjfK4Vmv5CBG9HI8cyP+fK323Gh0l5kCAkMJE89/vW5t08cUC47ee95JOmLZvKb365WhUmuNH8l0w0zcWOZG/KCAvi3Ik3IscyPpIDcagGi1KXN0H9asZ0bw1Ec22BcEK6Z0Y9WSYe2PrN4xVCqEAe/VB80L932T/v4hPt4/fO7RWjZvQDet36m7N4/IqhrU3x9bKWmq7HYdjGnXc45frmNXLNClrzilZnurX0VJ84ZuBMvPf/fWjfr0z5rPBYB+melT+AJJz5b0zDZ+kJJ2AsY/f2ibdowmN/oD0F9BcCOp50bSWY9yxerjVz+oF//z9bWZGzU9N+rTS4stpog2XC2lyWS26JiwnvqLbzoznNR97hePaKTBpPS8p66ccSy9Vl3qr/nEnB5FmImNfcbiB4M00kOeVCKB8kblCdG3+A1r61fDShIsk1p2rQpO44lpECQoNwgst5oZ1cyKhbVlIsvmD+jCpx8mSTrvlEPCgGSwf4juB/7iRcdr4VBJy+YPaMNOr0zmwSf2av6gV9EfX/J0qjL7wY3AIX7/jcMWD+m5xy9vue9FxbVNV61pl+N4mRvv//69+sQ1D/fseYF2zPQpLMsri/uppNdLWmytXdjkp701mtBTrdbNTZYreutXb9XrvnhTn0cEIEkw70j6zB62ZLhuW9m1+twvHtHabaM1AY3a1VLqgyUFx+l5z41AtDnii09eqW9edFZ4fd320cTH/PsbG3d375ekbvj/n73zDpObOtf4K2na9rW3uffeAWNwA2w6JpgOl0uAJEBIIIQQegm9xAkQIHBTILSEXkIxGHDBBYONbdx777ve9fadnSLp/iEdzZFGmtHUnZ05v+fhYUYjjeRZ6ZTvvN/7mcGUG4xoKM9Y6L3x+bWb585gZAJr9zcCUNISRclcuUH3KS8vie4vAwCL1SBIUJTgjCALIP4UVjHBgRWFts4XiXyXEogo9jgwvm8XFLgd2r/p7wt3asF/0j/QlcB+edJAAEChJ2RP2NQe0FTSxgosXn/601IIVcXKb1nocWBAeYFlBTQjsgwISQxu2E2FZTBSSbSnsCeAuwEMAvARgAMcx/2RKtPKyCCMuYJW3PyWksu/tdp8AsJgMFJLpLSUC4/tGbaNXtkiJfKM22XTtBTYUm5YyemNOdYfrtqvvTZWfiiiBoD1rX5kCnaVG2zVnRENo3Kjtlmvfox2D6UrbWV3bWvYqjKDYeSrjdUAlOCCKMumk1w7896dR1rQ767Z2FYTGlPWtfhwsMEb0c+h2OPA704bgld/bi76fvVniYvBSSCiqT2IfHd4DQVS0pX0D+S5OXlIhaYs2Xc0ZO7dr6wA+ep24zO2raYFAyoKEr7meCClZ0f3LAUXg++FKMuIIK6JGZ4ZinYK9h1tMy1nnC1EvKVlWT4iy/JTsiyPBjARwMcArgewkeO47ziOu5bjuMRDq4yEqChyY0B5gW3lxpcbqlN8RQwGIxKk7zd7ZDmO01ZhCPRgweun/TdC2/2irHOmB1TlRoyeG+N6l+KqiX1x6rBK7DzSivUHGrXPPtAFN/TdRzFVKo84z2cCZsoNl8Dj0vG9dPsFWFoKIwpGdRRdnQyIHkh8f+X+iJ8nA1GSccqfv8FNb65K+bkY2YEoyUpaShTPDSumP7UQAPDj3pCJ/XGPzkV9WwDOCGkaHMfht6cNxrBuetH3t3dNx+I7pulKncYLXQGrwKQaFlEnasENtZ/41zWhwEqDmmb5y5MG4KlLx2ppKbRyIyBKaG4PakGGdFNV7MF/b5yMR88fBY6DbeWGWTprIggch0AM1dMYHcPUWQtw6d+/6+jLSBm243WyLC+XZfkGAN0BXAWgFcDfARziOO7KFF0fwwZf3XISPrpxcliE/PQR6c9vZzAY0QmVgjUfVDgMSyn0pOmN73er+3C6VIr2gBimplA8N6IPNOhqKa/+7Hg8PHMUenVR0mPOfX6J9hldUSSScqPJG8DBBm/U86YDcp0f/XgAJ81agPaACEmWUZKnL0Vr53di5DZGddTJQyp0n5utltLbbn9/LQ43tqfs+oBQetWibUdSeh5G9hAUJdUfw0S5keB3O3kO//jpcXjqEvvVsXqW5iXNcJo22jf2WUBIRUlKxXr9ItwOXvdbPH3ZWEwaWIbbzxyKkT1KNOVGXUtIofjv7/cAQFi/kk7G9S5FnksAB862oahZlbVEEHgOjd7MWdxg5CYxi5FkWW6XZfk/AB4AMA9AAYAByb4whn26FLhQkucMkxSa5ZA3tGWOXJzByFVCyg3zQYVxkPlnqvJRQC2v5xR4XVqKzyS4IfAcJDm6HJ7M6/940WiU5rsAAEWe8EFaA2UUamxvCl2h4EZ7UMLv3lkd8Zzpwq0qTOZvrsHeo23YVdsKSZbDfqvNh5rxm7d+ZN4bDEskw0SgS74xQGZiBmzYFs37JVHI+biEp6WMXEGUZMsVfLOAgJFrp/S3/EzgeZwxshsuOq6X5T6phFZufPTjgbDPiYHogQYvqpva4Q2IumMAYNLAcrx53YmagXahqtx4+uuteOO73fAFRa08uplnVrrhOfspcKKU3GopxuAGqyCV2WTr3yem4AbHcd05jruL47jNABYBGA7gCQCvpOLiGLFhlBT6AuGD9A9WhTfuDAYjvcgRPDcAhKWXGAdlDp6DU+C0VIqAKGHN/kbNpd74PVG9AFTlBglsAOZO9fR17apr1X1Gtz/+oKSbxP3n2hPw4a8nRbyGVFFWoE/xUQby4YGlxz7fhE/XHNSl4TAYNJIs60IGN00fpP/cTLlhGDwaTQiTDQl4JnExlpHlBCViKBr+WZcCl+69WV9SYOJlQfAGUnu/R4NWbtxw8kDtNUlRaaFSyw43tsPrF3XHmEH3Hfd/vEEzZgWAEwZ0TfiaE4XjrE1ajUiyeTpSvDh4Dkcpzy27/hvv/rAPQ+/7QncsI/Vkazpu1OAGx3FOjuMu5jhuNoC9AB4EsBbAuQD6yrJ8ryzL+1J7mQw7GFdS6bx3WZYRFCWUGToqBoORfkh/byUHjWTCBgBOgVeUG6rkoqXdfAApqCbD66JM2M2qtwzvHl78qk9ZSCpsVkll95MzIPCcYkSqfteE/l0xeVA5ju3TJeI1pArjb0kGW1Y/MTNDY1hhDIoNqizCd3dP10pLmt07xuBGW4qNPslglQU3GHYRJRmiZF41w5hmsXBrjfbaH5Qgy3LE4HmTt4ODG5QK47Lje2uv3/nlRAD6YCPHAW0myg0zJvQPBTHu+XAdAOCskd1QbKJ4TDc8x+lSTSOR7LQUt1NADWW0bLfE+itLd8MXlHCoMTPSWXOF6qZ2VDelNlWyI4gY3OA47jkAhwC8A6Vyyu8B9JBl+VJZlr+QZZnpdzMIehDv4DldxYK7PliHQfd+EVaD266jMoPBSB6RqqUA0YMbDoGDQ+C0gQP5vqFVRfr91O+54MWltq6HPuupwysBABP6hQZxoiTrvDXMcDt4+AKSZiqWaWkemw41AbAe0GXa9TIyB7OKRN1L8jBlUDkA81Vt47YWX4qVG2rAk6WlMOwSJGkpJv2OUUVI0lRqW3wYct8XeP27PRFLf3a0uTStwihwh15XFCmKvlbqeTzvr99i9tpDUZUbADC+byhYT6rE/O2nxyV8vUkhBuVGstNS8g2BoUCMXlasylN6mTprAU54fF5HX0bSiTxKBW4C4AXwFoBV6v7XWOWJA5BlWX4meZfHiAW6YyrJc6KVaiTeWaGIa4wD+k2HmzCyR0l6LpDBYACggglWhqJRyjo7eB4OnodfnYiTweWVE/vq9rO7IqMpSajYJ8dxmNC/q27gExRldC1w6YxFjbgdPLwBEc2+gHZMJnG3uspmNaD7ZPVBDK0qQlmh23wHRs5itcpJnlez4IZxbN/mS7Hnhhg5cMpgAOG59n5RMg2qG7e51NyV3bVKWuKHq/bjhAFl2ufDuxej1RfEXrV8an0H+7w5qb60yB1SVRB1hpks305w49bTh6Cuxa+NrTMJXi2X8s4PezFrzhasuO80y7GGJJsbycaL8bez2/+TNNhUK9sYQE0WKjWMRAtuAEAegCvU/6IhA2DBjQ6ClhTmuQTT3DVfUN9wWMnZGQxG6jBLA6ERohSed/AcXA4+pNxQJ1BGWbFx1c0KUf0C43ndDl630izKSnBjT12b5Xe1+kX8Z9le7X2mKiE4jsOUQeVYsr1Wt/3tH/Zh7qZqrLjv9A66Mkamoqxuh28nz7FZWopxVbs1xcqNgOa5waIbDGtIYLzQ7UCLLwh/UDJNSzH2ISQYQBbP1uxvxHhK3efgOVQWubXgRqqDedGgnwO6fHl+hABGsY2KJw6Bx8xxPTI0uKG0VXd+oATyA6IMl8M6uJHMtsKY0hO02f+Tvw0LbqSeP87ZEn2nTk604Ma0tFwFIynQ0dc8p4A2v4hNh5p0UnVjw+FNsXM7g8EIJ1paSrSgBMfpy7yS/xuP619RaOt6RIvgiNsh6MrdiZKMAlfkbsPoxWH0HOgIXEJI5ULgOesyubUtzNSMEY7VRICUbja7141qjpQbikrhKWYMhhGf2k7nuwQtuGGWlmLcRtrMANXO0/c4z3Oa20P/8gI8e/m4JF95/NDPrkPgTfsFAFi9r8HW93Ur8STt2pIJB07XFkXqgyXZ3GslXtwOQ3DDZn4MSXfqaAPaXMCsQkqbP4j8KGO7zkTEf4ksywvTdSGMxNEFN9To6dnPLtbt8/p3e3TvWX4bg5F+EjUU5QC0B0V8vu4w6lp8mnLDOBDtbnPwRQanxvO6nbxO7RWUFAnr7WcO1eUcR+JvV3Z8HvLWx87Guyv24Y7312rbBD48ZYDmYIM3I8r6MTIHWTYPGpAqE2YSbOPEwsyIN5mQ72fCDUYkSDW9ArcDaPZFVW4Uexxoag9qyiDyf5eD1wU3HDynfc9dZw/DmF6lKf13JEKeS4DfG/48jutt75r7lxdory8b3zvCnumFV7JSNCIFGCQTH6FEcBpSau2mpXjUoAhTbqSW/fVt+NCkJPLGg006BVZnJ6ZSsIzMhi7jZZUzSMz0jumjNN6sIWEw0o9m5Bu3coPDvqOKq/i5zy/BSX9aAABhpfxK8+05t1sGNxy8tsKn7KfkZd84bZAuz9qKJy4cjQE21SOppluxPtAj8HxEI7x5m6pTfUmMToYM84CkEEG5seNIi+69L8XBDVKC2eWI7hvAyF2IYoGMFf2iuXKD9AnEjJ6kpZDj/UEJb3wfWjQTOA4jeiiVtjLFsP6kIRW66iYEYn7Z1VBF8KHzRtr6Xo7jcNO0Qbh2Sn/88eIxiV9osuA40E1RpNQQUUpuWorTMAixayjqVtNSvH4Rjd4A/rZwR8bcP9nEHz7eELZt5rgeWRXYAFhwI6ugB11Gx2IjD583CkDqndsZDIY10ZQb04ZWmB9HtdyHGkPmUEbPjMoiD4Z1K4LLwWNrdTN2GiZaBDLJDw9uCIbgRnRVie46M2j12DjxdPCR60kYB2kMhtUqp6bcMAzGv9pwGFf8cxkAoFcXRQWUauUGWbBwO9j9y7BGVIMULsrI0azJ04IbAgluEOWG+cRT4DncedYw3HPOMJwytDLZlx0Xr1xzPN65/sSw7SSwQyswfja5H3rGoNi77cyhuO/cEYlfZBIxtlGRlBuyHFufHg2jGXo8yo2HPtmAJ7/YjKU76pJ2XQwFF/WQn6+WMB/WrbijLidlsN4vizBLS7GClHN84JMNePGb7Sm9LgaDoceu50a+y4EZY7qHfW418TaTFU8eVA6XwOOMZxZh+lPmmYYhQ1GjMz4Hf1DC/vo2vLZ0N4KiZNuktE/XfJw6vMrWvunAOMTieQ5PXzoOV03sizG9witGmeViM3IbJbhhrdwQDauUK/fWa69/d9oQuB3mOf7JhAU3GHYgfRDxl9h0qCliWopTvZ/IZNVKDeAQOOS5BFx/0sCo49B0IfCcqTqBXF+JaiDKccADPxlpqmDpTBjD9mZVnAjJTktxGcYmVr5WRshv3uYX0eBVKq0ZCyAwEsdJ9QvEFLiyKPsqw7HeL4ugB115zsjGMLQb9Kw5W7A3QvUDBoORXKJ7bihNs8vBw20SyDAOIELHhW9zCFzUiiXkY2Pgguc5SJKMO95fiwc+2YBtNS2w6w+66I5pKM+gcqpGEy0Hz6FPWT4enjnKND2vvjWQrktjdBIkybwKCXlu3v1hv5YWAugrRQhqhaNUKzfI+ZnyiBEJs5S8Nfsbw7aRPorc42SibNWn2C0/ngkQhbNT4PDFb6diyZ3TO/iKkkMsyg1RMg/YxovDoB61O14g/bM3xYbLuQ7xROmS79SCmSU2qgN1Nljvl0XQq67R0lKKPfrgh928OAaDkThk1cxqTEEGkm4HbzlJ+ep3J4VtMysh6xJ4G8EN5XPjIEfgOIiyrBugzNlwOOJ3PXHhaJw0xDydpiMxVnmhVykPN4bXfW/wsoopDD2yLJs+s+S5eWfFPvxxzmZtO/3c8TynpnmldjUy0iotg0Egk8loKRjk3ib9ELm//BbpBnaVfZlAQ5sSwN5yuBnDuxfHlI6SyRjbKDFCaogshxuRJ4JTLTlL5iN2q6WR+4r5AKaWCnXB6dLje+PeGcNx2fjemDK4vIOvKvmw4EYWEUtaisNo+sMk2AxG2pC1tBQL5YYQCm64TOTlLb4ghlQVaell2nEmLbpT4BFtvqMpNwz5sgLPQZRkFOfZLxH2PxP64PWfT7C9f7qY0L8rbjltsPaebi+JhP/nk/vj7z89DqX5TjZJZIShGIqGb6efm5omn/aafrwFjkNZgSvlZYbJZEIOS8RiMBRkWcbjnytBuNvPHBp5X/X/pL0kig9jChYhmeaUqWZbjeJBtTvLlMvGv0Gk1BAx2dVS1AWWAnUOYqcbXbnnKN5buR8A4KWUb6wLTj5VqrH6r04eiN4iizeVAAAgAElEQVRd8/HHi8doZXizCRbcyCJ0wY0Yb9ZAkLUiDEa6iJaWsnK3kqvvF2XT4Ea7WsavuV0v4fSbPMfGgEWLL4ijrfoJ1uvf7Ta9Hp7nIMky6NjnP68ab3rNmQ7HcfjZ5P7ae/p3GdVT8dz47WmDcebIbopihY2sGAasPDfobfqVytB2gQcqi9040uxDKiGnZ7cvwwpZBuZvrgEAeJyRpwGywWyapDhY3V/G9L9MxqxvzQbClBtRPDfMvFbihajAu5fkad8fjeteX6m9rm3xaffkt9trUdPcjhveWMmKHyQJyfA8ZyvZ+WTnKHQDZefGfeqSsdprlpbCYKSPaIaih5uUNIkdR1piGoDRru8Eoz/HybMW4NhHvtZtW7brKIDwQZHAcQiIMuZSZVFJGenOSEmeE6cOUxz86Qnp81ccg7evP1HLPSVBHQaDRpIje24o+4TuG3pXB89DSMN9pSk32P3LsEB/j0YeK+ar6XzEK0bSghv6++u2M4YAMPfyyFQ++vWkjr6ElGAMwFpVtpHVlNNkqm186sJLoaoqtdMOtVCLNPvrvfh8nZL6On9zDSY8Ng9zNhzG019tTdo15gKPfrYR9/93fdh2EpxkwQ1Gp4G+WWlplxHitzFTLQMEAIEUm5wxGIwQJJYYbVDhFDhL81AzhnYrMvkO/fF1rday+FbD6ohZLm6sqrBMo0uBCwDQRhmXFXucOHFAmfbewXO2S9gxcgfZshQsHdwIbad3dTl48Fw6ghvK/zvRHJORZuh7NNqqfWm+3myQTI7o+6uswIVCtyPsuzOdwZXh/WU2YPyLtlv4/ERTkCYCaRLtZLyfOaqb9rqxLWTkvfdoKF3IbtUVhsJLS3bhje/3hG0XWXCD0dmgJyK9u+Rrr61yKmnfjUhuygwGI7lEU24QClwOC+WGcvyTF45GeaEr4nfYqZrQVZ3wD6nSD/bMBr6dvcRkqarOqG+zrobCq0aqZhxt9WvlExm5haLcCN9ODxStViqdghLcSLW9FWlbmPKIYQV9b0Sb5IzsUYybpw/CXy4fpxxLlBvUmFGSZa3EpNSJxpJOITsneMZgRUu7eUpHKEUheecmf31yDXbaIT8VfGm2SD+pyKDKa50ZLbjRibxx4qFzj1IZOug+aurgcgyqLAQA7f+Esb1DsvIPfqXI8lKdB8xgMEKQ/j6acqM032mq3Lh6Yj8AwOUT+uDdX06M+B1Gzw3CW8v3aq97d83HyUMqwoylzEvLdu5ugyg36iMoWA40ePH5ukNh21t8QRz7yNc4/4VvU3Z9jMxFlMzz0x0Wyg36eVKUG6lPFyHf33mmmIx0Q9+C0eY4HMfh1jOGom9XJeWRLITRwV+e47QgemeaM5H+94oT+nTwlSQX49/AqMgkhKq2pUK5EUtwI3rEt8HLSrNHwxcUo87lmHKD0engKDGaQ+Dw2s8n4KJje+GUoRWY0L+r9tk95wzXXlcVK9HQrdXN6btQBiPHsavcuP3MYTrlxh1nDcXuJ2fgN6eGqn5EU2Z0zTdXdtz94TocavQCAJq9ARSb1DpPZom4TOGy43tjbO9SXDWpX8T9iGkrzTNfh/J+meFo7hEQJVMlFW/huUHjEtLluRH5OhgMo3LjZBulu42lPcl9dvXEvnjt5xM6rQpi95Mz8PgFozv6MpKKMVhBPLyMkEyPpKalkLENr3sbEZ+d4EYEpSVD4bdvrcbxj82NGEAXJSW1sjNVNYoH+/X9GJ0KgefQvciDpy5VTEPf/eVE7Yanb+peavoKGwYxGOnDKN008uZ1J+Db7bWoKHLrJlMnUEFKgllQgqZnlzzr61AvpKk9qOVM0xiv738m9I54rs5AeaEbH984Oa5jm6jVI29ANP3NGNlLQJRMlUtWyo0glYNCPDdSHRTTJp8sRZ1hgS64wXF46erxGHzvFxGPIfc48SIi/jMPzRwFANhd15qiq2XEinFUscei1K1fbZ9SUTWGjB3stHd2ghtzN1XjnGcX44NfTUKeq3P7fqWKORsUI9ZdtdbPoijLWa/aAFhwI2tx8OGNlVWkrtjjgNdvbUDKYDCSS0gOav75pIHlmDSwHIDe48LsGSYGwRP6hQc+AP3EywiRgwZEydRLg5bgnzGiCk9cOMbyu3IBJ/UbtfnNA0KM7ESWZQRE2VQpRQcB6VWzo9Rqo8vBg+e5lBt9MkERIxo601s1pWRwZSF+OrGv5TFEnSRSni70fR9KS8n+iVOmY5y8NlqkdJD+35VE1Q25tYxKHzP+9OVmvLBgB0b1LI76vY3eABq9Aazd34ATKPNvRjg3vvmj5WdBUbLlw9bZYSOzLIKenMQSmct3seAGg5FOZC0tJfpz6naEVinM9uc4Dkvvmq6VMTUSKbXEF5RQ3dSORm/AVFZMH8vGrPqyuqzNzC2I14DT5HmifW3owfz++tCKqVPgwHOpL5UpU5NPBsMM2ZCWAgBf33py1OMcPAdRlQRJMgzBDdZBZApGn62GNnN/qYCq3EjmZPe4vl0AAOP7dsE3W45EDOa+sGAHAKDNJ6K80IUzRnbDm8v2Wh8A5r1hh121LZafWQXos43s/xfmEMQoD4i8WmskzyVELB2b7Tw2eyMe/GRDR18GI4eIpQSbxxlqpq0e6x6leSiwUBFEU26c8Pg8ZT+TDo+NV/XQctg2FtzIKv774wG8v3K/5edEju80UzjRaSmUwpquHOFy8BDSUgpW+f5Dje3YeLAppedidE5o5UYsCnWeD1X7kWTZNOCdA4r3jIfu80vznZYBgUAK0lJOGVqJVfefjpNUHxc77V2DN4Apg8pxzqju2rbLxispsLefORSnDa/Uth+NYASeqxxt9eOO99do72m/sKChPJcvmBvKjez/F+YosSg3PE4hpwfq/1y8C68u3Y0b/7Oqoy+FkSOQSY+dxzSaciMakdoCH1WCzWxFmj62T9f8sM+zHWO+MO3qnsttZjZyyzurcdt7ayw/J/npZsFCOn2LHszTKg2XwIPjuJR7YdC37DnPLU7tyRidEvoejcU0WqfckPRpKaQ9NKvuxUgvdFp6t2IPGi3MOFOh3ACU0vKhainR9z/a6ofbIegWch67YBRW/+F03DhtEMb0ClV4rGthlR2NLNxag3dXmAfm/YbgRkCUkpqGlKmwVihLiS0tRUB7Dis3CLNNSj8yGKmAdPh28pP1yo3kBjfomvKmXgLUsbedOTTmc3d2goaZKB3cYG1mbhGMsMpJTybohUr69nE5eAh86tNF6O+vKHKn9FyMzokuuBFDnyJwHIKSjD9/uQWbDzfr+paBFYUAgMuzwHS6sxOgJrR9uuaj3iIthazwp2Iln9xWdg2UXQ5eVzrbIfAoVSu90f1ubQtTbhgxLrQM61akvV609YjuM6uKX9lG9v8LcxQhhg4rzymgzW9eB5vBYCSfkOdG9H3pdBETn+CoRApu0LJ1s7QUp3rCs0d10ylIcgWSikCgB4mtPtZmZiOSxWA8QNJSTIOA1PHUxFEyKDfSUS2FnLJP13yM6hHdqI+Re9DxtVhSmAWBw7KdR/HXBduxeFutLi1lePdibH30bEwfVpXEK2XEQ6s62e1e4sGQqiI0egNh7c7eujac+/wSAIDLkfyVfDLuiFSWdEBFgfbabQhu0JwwIGSWztJSwmlp149Fmqn3N/xbr0gP5IihaPb/C3OUWKSGHqcAb4DVjWMw0oXmuWHjOaUDlXEpNyIcc6jRq702M4RzO4kDfsyn7dSQfOGgJEOSZG3l6FBjO7qXeAAAby2PbHzGyFz+MncrNh0y96P4n39+b7o9ECEthVZu6NJSqAmFwHNKWkqqq6WoJygvdOW0lxbDGl3QLYZVXIHjsJF6boz9US6sCHcGSOrQjNHdUZrvhCQDA+/5HF+ppUIBYO2BBu11viv5tSXspKUMrizUXrudvGWJ16mDK/D1705CVbEbda0sLYWwq7YV/e6ajYUGdcaBBq/u/ebDoWfWzzw3GJ2RN689AVec0CemY9wOHv4gGwQxGOlCikG5Qa8Kx2PWZlYWekR3ZUX3SHNooGDW4ZG0GQ65Fd0gBmZBUcJTX2/BkPu+QJs/iIMNXk3yuWDLEZ1nCaNz4AuK+Mvcbbjkb9+Zfr5s11HT7ZHM9/TKjdBr2nOD47g0paUo//c4BZ2cm8EgSPEqNwz7MvPQzIRUdhIETleu/AHKOJ8OTBWkJLih/D9Se0e3Ty5BQJWaRmdWGnZwVRFGdC+2LGubixDl7dIddRH3O+svizV1/tbqFhR5sr9QKgtuZBmTBpXj8QtGx3QMz6d+NakzcaDBiznrmf8GI3WEOnwbyg1dOdY4lBsmiozrTxoAAGihUivcJpO2dlXeaiUXzVbIbx6UZK1c3ZFmH6qb2jG0W2jgxSaPnQ+f+jej/VQiSacJJC3FLFio99yg0lIkGacNr8LiO6YBUCYU6fLc8DgF7d/KYNDQqVexrOKGBzdYdCMTEbW2isP++tAq/qHGduyqbQWAlAfmOU25ESG4QXmDuJ08HAKP2TdPwWs/m2C6f55L0FUCyXW6FDht7/vt9jqs3FOPvUfbsK3GulRstsCCGwwInH3Tn1zg/Be+DctTYzCSCXnabCk3qAFkLF46kY7JV+WfdK6mWQCDlJelc2NzAeI1EqTaxb1H2yDJQK8uedo2NnnsfBAjWCcVkLDT/4UqC4Q/T/RzTH+VJAOFbgG91UpDPMdZenokC1kt0elx8uz+ZJhCzzcTCW7EE2xnpB6iGBN4HtdM7qf77Pn52yBJsi5I0Lc8+ZXQSNWc37692vRzSZLx7faQ4oAsrozsUYKyQnMjZI9TgJdVKdMw67emDi7XXhdQaT7Xvb4C1U3tAIArJsSm7u+MsOAGQ61dnpvBjab2cIkbkeqnehDKyE1kWdZWVuysfPGJem6YRFCc6kCCVm7QVVkI54zuhmcvH4dfqkqPXEFTblArS8TIrMAtaBPcfUfb0n9xjITwqYN6WtG09kBj1OO04IaJwome5NF9qSjJOl8dPh2eG7JyHpfAM2URwxQ6XcoRQ1lIY19Sy8pyZiRXTeyHk4dU4OqJfVFuCBR8uOoA3l+5X1ftq9hjXwFgl8riyJWaJj45T/c+38Jvg0ZRo7HgBsFoeA4Ax/bpor2+46xhus9I3zRzXI/UXlgGwIIbDPAcZ0uWm400t1tXPAhIbGDISD6nP7MI176+AoC9YIU+LSX285nlVJNV6x1HWkPbLDw3Zo7raVpJJZshA/4ANXi4/b21AJTfacbo7gCAC15ciuvUvyWjc0AGx/RzsWBzjW6fBpPSiUTF44xSsoguwyjJsk45la5SsDwHuB1sIsAwh74Ho93PNJEqbzEyh64FLrz28wmaAmJARQEuPz5UovdgoxefrDkIALhvxvCUXIPbIWilqKf8cT4e+nSD7vPqJn1g7MyR3aJ+Z75TQG2Ln5VhV6H7GkJpfihQ1U01PweAQZWFWoW3Ajfz3GDkAALH6SL56eLVb3fhux11eHPZXvS7azbmbarGlsPNab2GQISVLbOoKIORKNupfEc7wQpdtZQ4Bpc8z2FsrxL8jJKnmo1n4/nubIUEepopZZdfS0vgdVUovt5Ynd6LYyQESdWgA4slefqVy3EPfx12HOkrzNJSaOg8clGSdRPCdJSClWQlKOl2MuUGwxx6McsZQxnQeNIiGR3P/N+fgnupIMbGg034ca9SLeXaqalTZZKAyv56L175drflfpsfOQul+a6o3zegQqmuctXLy5NyfZ2doElfQvcvxDgeUKpnHVWD9nQAJFvJ/vANIypKWkr6z/vgpxsBKFFmAPjFa8oK6O4nZ6TtGujI57F9SnWfseAGI9XYSkuhAhHxDi4/vmkKAGgDjAn9uuo+P3VYJU7sXxbXd2cjZEJqXF0ClFziU4ZW4ssNLKjRGSGCPLp1718e3VMmoA4ao6mYfAFauaEPGvI8B1lWlCF2BvPxIMsyOCj3KfPcYJghJei54XHyzNixk0F7an2VpoC8VfsjyzIGVxZiW00L7j1nuG3DcuLLsXy3eUWrXMNMuUF7kvQozdNtP9LsQ6HbkZLSv5kGU24w0iKVjUSrzzo1JNXQq2xGF/wgS0thpBg7imC950ZyzmucoP3zqvGWNeZzEbI6f8O/V5p8xuOcUd1120b+YY5m1sXIbIhKkV69tmUoqg7UXdGCG2oqSG2LD41ev+6Z5Tmlzxn38Nf4cW99rJdui6Akw8Eryo02v8gk3IwwdGkpcQQ3Zo7tiWcvH4cND52Z9GtjpAazv/Nfrzgmpee0aldf/GYHttW04IwRVbguBj8vttyoh16AHVJViEvH98KVJ/bVtgk8h9+fPgRlBS54AyK8fhEF7twY57HgBgNCGsrTRaIjV5fonHpjao6Z5IvBSITNh5t072P33Eg8ujFpYLhCg6Wk6BEMUaeBVLUYgefCpNytfhFzNzElR2eADLjp5t5sED5n/WHde2IoG82AkaSCjH90LgKiwXODer10R13YscmApMI0tCkpVWMe+iol52F0XuJVpRKfGqdD8WLKhdz9bIZe2U8FFxzT03T7K9/uAgC0M2VZQtDKjW4leZh18Vh0KdArAn9z6mCcPKQC3oAIvyjFFMzszOTGv5IRES4NecCZysaDymST44AmbwCPfrZR+8xM8sVgJMJcgxw01lKwicYgNj9yFl7/uXkNeUYIp+GHnnPLSdrr+jZ/mMoLAO79aH3Kr4uROESxQQf0zQLZi7Yd0V6/t2If7vggZCgbiVZDqULeIjjpS5GiQpRkOAQeBxq8AMB8NxhhxLugRALtZu0fI/OZMqhc974oxcGpIk9yvz9XCx9YsZeq1lZZZF2dxuNSSugGRDmq8jBbyI1/JSMiAs9lVNnTYBqDCvd8tA6Asoq3raYFLy3ZRV1H5vwmjOzAqLywo8QwGhImgscpaCkpeWqe6ze3nZLQd2Yj9G9emu/UTWiHdiuyNJU81OhN+bUxEoME8uvbAlpVFBLooGNa26pD5tbfbAkFOuwMDhdTgRHBopRzqioQBVXlRlVRyCn/ma+3puRcjM5JvAEv0i5GM9VlZCb/vvYEbH/sbO19PxteQ4lg9BUiY3ui+Dl9eGVM38dG5HqaKMPzqgild/OcanAjKMFlUso8G8mNfyUjIgKf/mopkYIprb705Qj3UEslDa4sDPvMz5QbjCRjDE7YGSImWi3FiolqekpVsSfKnrmHkxoALL/nNADAf649AX+6eAwGVhRaBqUufHFpWq6PET90X3f3h0pwmwSy6W7Jqh+KlpYCKH4bof1D9xIdz0hVWU1RkuDgOfzhJyMwXHXLf3beNqZEZGiQsc1dZw+L6ThNuZEjq7/ZCP23S3WKgrEKFanWMaSqCB4nr/OHsEM+8wXTQZtX0yahV5zQB/8zoY/2vqLIjVa/iOrmdpaWwsgdeI5DuoUbgQhmnc2+gOVnyWZY92KM6lmMvmXhEewjzeGVEhiMRDDOie0oMTiqlU7mfOiZy8Zh7q0nMyNRE+jVebLSMXlQOS4Z3zvicYcamalopkPH8evVwTYJePz5krHaZ3SqpkytGdoZHD7x+WbTY+mgmCNFwY2gJIPnOBS4HTh5SIW2PVdTTxnhEOXG5IHlUfbUoyk3mEcTwyYbHjoTz14+DgCw6ZCihmtuD2BMz9KYPcTOVo28e6bYK4RGlmXso9I/Mgl6AZYeszx+wWg8ceFo7f0gtYTurtrWnFFdseAGAzwXWUmRCiKlfBAjtHTgC4pwOwS4TGq9s+AGI9kYx4S2DEUtZO2JUpLnxCATxRIDCUk305lWx4gdXdBC1m+bPKgM2x87G2N6leiCEnR/ZWdwWEP1HXTfSqs1UqXckCRZU5d8tTFkisqUGwwCCW7E284x5QbDLgVuh6bguPpfy9EeENHoDaI4L3Y/DoHncMlxveIugNDiC+KSvy3FjiMttvYXJRknPD4PU2ctwIoMLD9Lp5d5I3g4lRUq6UENbQGm3GDkDulMSznQ4MXCrUciBjf216cvStoekOBx8nA7wlev6Xw2BiMZhKWl2JjfJNNzg2EPO74KX95yEi40cYNvbu+40taM6NB9HTGUJoaiAs/BIfAY0b1YF2T/ijICjnVCSK8bpGPBm3huAMAvqTKLTLnBIPhFZSIU671MHh07qVkMBqGQMi5taAvgSHM7KoriS4ctcDvQ4ouvj1289Qh+2F2PWXM2R98ZwJcbDmuB6vdW7I/rnKmEDm5EMm8tLwz5cTDPDUbOwHMcZDn1TsRBUcLkJ+fj6n8th0+0jjLWqSX3Us07P+zFyj31cDsEuE0e+CYvC24wkosxOGHHQ4M+hsU20oOdAcDQbkW4d8Zw3HzqYGx+5CzMumgMAMQ98GKkB1pJ0az+rcg2UgWiNN+FhraAaZ9IjHhtn4/6DvpZjmf18eFPN+L9lZEH2aIkaykvM8b00LYHmEF2h7PxYFNGmA7Hq9wg96yTVUvp1Cy/91Qsun1a2s5Hlwxu8QVQ3xZA1wJnhCMifZeAVl8wrvkKaX7tHtpOqSHeWbEP22vsKT7ShV+UMLZXCWZdNAYXH9fLcj86uFHgyo3yzayFYmirPKle2dlD5a0dagjPTZ8xWsmnS0daSkCUcOcHipmcS+DNgxtsBZaRZIxPmL1SsKHXqZKyM/TYHfSXFbpx6+lD4HEK2jFshTyzMfvzaMoNdfRbmu+EX5RMpb6x5onLOuVG6Fiz8rOEK19ahnEPfxW2/V/f7sJt763RVXIh+IIi/vzlFlQ3tWvnKaD8dNh92fGc89xiTHxifkdfRii4EaNEnSk3soPKIg/6lOWn7Xy0cqPRG4AoyaZqaTsUuB2QZEV1nWqMi1F0FaxMwBeQ4HEKuPT43ijyWAeL8lyhBdxcWXxhwQ2GNmFK9diHbiaIkRth7YNn4C+Xj4NT4NIi66blXC4Hj+W768P2aUyj9wcjNzDm69vy3GBpKWmHrM6bVVGygqhwIk1aGR2P2SSfKDcE9fkkEt+/LdyZ1PPRz3Ikn6sl22sjBvlPf2YRthoCHE9/tRV/XbAdq/Y2aJNPjuMw62JFUcQ8NxgEX6LKjRzJ22ckB1q5sWhrLYD47yESKGn1p36e4Avqg9tlhdblVjuC9qBo2xCePPNLttem8pIyBtZCMTSpVrwmPXahJ2aLt+kfsGKPE06Bh4PnIUaopJIsaM8Pl4NHi0mFlkaWlsJIMvQKBmAvzYTTGYom+4oYZhS4HXj56vF46/oTbR/jSJMCjpEYxn5OluUw5QbhuXnbdO+/u3u65fcOrSoy3U4Hu+jnN9Eg2BnPLMLstYe097RzvoNKG2D3ZeaR6hTgaJB7xUyxGgmS2uSJMTWLkdsUuEP3y7Nqmxqv9wMpeVrd1A6vX4yxGEJsAyijOsQXwbSzI2gPiPDEqIC5cdrAFF1NZsGCGwxtQJfqwQ/97S8v2WW6j0Pg0rLyGZT0yo2HzxsVtk86S9IycgPjMxarEiNWSTwjfk4dXqXLVY2GoCk32Ap5JmMMbgREWQuom6V9EcXD1MHl6F5iXYLw45smY+Htp+Ch80bqtnfJD8mFaY+dhrYA3vh+T8SJLv2Z2X4/WDj4+yhlIqlswe7LzIH++3QE8aalkHso1qAII7cxS0FxxZna1Kwa/c+aswXD/zAHv3t3Na59bQWOxuDVZ3eGQdISP75xMoDMS+kgBRHs0Lur0ndNHVwRZc/sgLVQjJDnhizj3OcX48FPNqTkPHZKJDp4Li0rTPQ5XAKPfIO0yylwaPJmVkPG6PwYJ1YszSR7ICvkZA55tNWPgw0dbx7I0GPsX3xBEaRrIn/D88cpVXCO6VOqmcqdFGVQ6HEK6FtWoDMcvXpiX9w0fZD2nn7eX126G/f/dz1W7W2w/E460O836T/pSbLXL1LbQ68dLF0q42jt4EmSPyjBwXO2DK1p1h9QqgulWuXLyD5W3nea7n28aSmXHd8bALBwq+J/8fHqg5i7qRofropezSTW4RZpU0f1LEGeU8C+o5nVn3sDom0VFRmXdC1wpfCKMgcW3GBoAy5ZUjqvV5fuTsl5zNzaH7tgFL657RTtvcDzaXF1pwd6LgcPt6GBGNatmJWCZSSdvUf1ZY5Zmkn2wBuUGxe8+C0mPdnx5oEMPcaJmT8oacoN8jcscDtwTJ9SFLod2uqdx2Zus9MReqjPHt1dk1ED4WkvQGSpMx28MDPhpn00mqkJc2VRSHFE/EPW7GtAv7tmY/U+62AKIz20+jpW3u4PSnGlBVSo9xWrJMeIlbJCN47r20V7n0haipmi8tHZm3Dd6ytsfYftailBEW4HD4HnUFXsRm2LL5ZLTTntMQQ3RvUsBgB0K4mvBG9nI2ODGxzHCRzH/chx3Gfq+/4cxy3jOG47x3HvcBznUre71ffb1c/7Ud9xt7p9C8dxZ3bMvyTzIROsVMtWzb6/otCNfuUF2ntFuZF6yaZRuUGGnGN6leCjX09Cn7J87Klr0xmPMhiJ8sKCHbr3XIw5oIzMxehtsKeuTfeekRmQeMCvT1Fyj31BCaIcKp9KyHcJaPOL8Kl51x6bg3GXEBpsGuX7sa4c0v3PEZOBNQluyLKM2WsPoUeJB9dO6Y/7zx2h7TNINcV9c/k+AMB/vt8T20Uwkk5Hy9v9YnzBjVtOGwwAMaXrMRgEOkUvEVPabiXm99/XG6sjHhdqfu31ye3+UPCgJN+FhgwL6pFqKXZ4+tJx+PSmKSiOUFUlm8jY4AaA3wLYRL3/I4BnZFkeBKAewC/U7b8AUK9uf0bdDxzHjQBwOYCRAM4C8CLHccwFyQRS8vS1FCk2CLvr2sK2GXNPac+NK19ahhF/mJMS8y16xcvl4DGiRzGuntgX//jpeBzTp4tm1Pbeyn1JPzeDQeAyuQVmxIRgIf9nAdLMgig3SCqiPyghKMlhEv18lwOtvqCWlmJ3ENlOKTGMx5iloQUiBL/mrD8c2s/kPiL9WJ2abxm+k0cAACAASURBVF5e5MZ9547AyB4l2j6kUsGBejXYxlIKOgR6HJOOSg+R8AelmP02AOCKCX3w9vUn4qxR3VJwVYxspzQ/lBKRSHCjqig+9UGsnmXegKilGZbkOdHYZt/XI9WIkgy/aN9zo8DtwOheJdF3zBIycmjNcVwvADMAvKS+5wBMB/C+ustrAM5XX89U30P9/FR1/5kA3pZl2SfL8i4A2wFMSM+/oHOx8aCSR/nc/O0pPc/Nb/0Yts1Yno723FiyvRZtfhEfrz6Y9GsRDWkpToHHQzNHhUm2gmlIkWHkDjPH9dC9Z54b2QOpUGFUaph5JXQUrBxoqAQrCTz4ghJEMVy50aPEg31H27S0lDybwQ164mr0cjIzLPVGmOje89E6bVJsFgT5fN1hHGn2obpJSVkhahSaAjUtprZFGZiz2EbHQAc9OzqtI960FI7jcOKAMmZszYiLssJQcMPY3sZCry4hY+dj+pTGfLxZG7i7thWr9tbrtnkDklZqtTTPmVEVFImvEqtcZE5GBjcA/AXAHQDISKwMQIMsy2QUsB9AT/V1TwD7AED9vFHdX9tucgyDwhGna3GiPHTeSJw3Vj/ZE/jwail1Mbgg2yVoSEuxgvXhjGRivLeZ50b2QCauxgBCpig3ftxbj8H3foFFqhFbrkKUC3mUckOU5bDAQ1WJB61+EQ1tyoDW7iCS/hZjsNysP4nmv/CVKrU2U24AwLQ/f6PdY2ZVCQSe0wVmWJpUx0D/7r94zZ43QKrwxZmWwmAkwuXH99FeJ9IKHUt5d3xwwySUUukurb4g9h0NV4kDkQvBnvHMIlz44lKdwqo9IGqphSV5TjR4A/AHJfz05WX4fmddAv+CxCGpbXbTJXONjPtVOI47F0CNLMsr03jO6zmOW8Fx3IojR3Jv4GeMoA6pKkzp+a6d0h/f330qrp7UTytTF7oWHl9tOKxzE0/F/I8eaDgjNA5shYKRTIKipFvNZcqN7IEYQ76wQK+AyxS1xLJdStnQJdtrO/hKOhbS9Odpyg0RohQe3ChyE8WD4nVhV/576fG9ccExPfHnS8aGBRtoM9MJ/bsCANoiGIoCwC/fUIZC9H00oKIAPUuV1csWXzBU2tOiLyOpKUDuuOVnGpnSDgDxp6UwGInQv7wApw2vApBYxR3iIwQoJtBENQkAV7y0DFNnLYh4vNmZicKSpOkDQJs/qI3XSvOdaPIGsL++DYu31Wrtckex5XAzAGBgZWrna52VTGzdJgM4j+O43QDehpKO8iyAUo7jSA/dC8AB9fUBAL0BQP28BEAdvd3kGB2yLP9DluXxsiyPr6jIjRrANMYAQ6pNDi8Z39vSsfdgoxcBUcZt763RtqVidftwY8h53mpFDEhNYIWRuwRFWRfcYLGN7KFPWT6AcB+hH3Yf7YjLCYMMJnM9oEbSUvLotBQpPC2l0GMMbthTbrgdAp65bBwuPq5X2Gd03/rKNccDANpsmkvS6U1XntAXX9wyVXv/herNYRXcoF3+6TKxjPSRSSmu/qAUZnbLYKQD0swm4qVHewoBwIT+ISXHGrUaVLtJ0Hh3XWvUcze2hVJPmrxBFOcpqpCSPCckGdhX7436HemgXr3ObsW5Uf0kVjKudZNl+W5ZlnvJstwPiiHofFmW/xfAAgAXq7tdDeBj9fUn6nuon8+XlbvuEwCXq9VU+gMYDGB5mv4ZnQrjoC4VY1+6oTHLOyaQla51BxqTev75m6uxdEdoxbKmOTTY80ZYOevoBoyRXQQkWTdJYtVSsodeXfLhFDhMHlSu2/7bt1ejIQOMyMikPtdToYhqj6SlvLV8L0RJDgv6FLqVQe2R5tiCG5GQqTVDElx54ovNto6lS6R7nALyqesh5dvtrMY3t3esmWWuYkxJ7Ej8QSkhQ0cGI15IM5vo47Dq/tPx4a8nAQAenjkKpwzVL0ybpbM/OntT2DZ/UMLW6mbtfYNXOe7hTzdi3YFGlFDBDQD4QVVAdnRaF/HtIdfF0NOZWrc7AdzKcdx2KJ4aL6vbXwZQpm6/FcBdACDL8gYA7wLYCGAOgBtlWWZLFiakYyHvlrdX2zpfcZ6yWkavchhd7O0iUa3nz19dgSv+uQwAsGxnHQ6rBmy9u+bhEpMVtokDygAk5ujMYBgxpqU4O8jvhpEaXAKPQFDCgi01uu2t/o7vesjCf6Tgci4Qqpai9DWfrT2EgCiHtfWFairHPxfvAmA/LcUOgyoLdf1aU3tko7qgKOkUF3kuHg6BxzWT+un2szPg/mztIbz4zXYEMyhNIhcIpqHEvRVev4h+d83G28v3Aoi/FCyDkShTBitBiH5lBQl9T9cCF47toyg2ygvdmDSwTPd5nUnpbAKtrnx/5X6c8cwi7T1RRPzrW6XdJ/0ECSL8VU07TZa5aHtARFsc1ZNqW3zgOKAknwU3zMjo1k2W5W9kWT5Xfb1TluUJsiwPkmX5ElmWfer2dvX9IPXzndTxj8myPFCW5aGyLH/RUf+OTCcdBmPzqcF+VQQZFQlq0Can8QzG522qxoB7Ptfy0mgu+8f3eG7eNgDApzdNQaXJ9Tx2wSj1OjL6EWF0MgKihDxXKP89Fk+Xcb1jdwVnpBeng0dAlHCwwavbbjf1IJWwtBQF8jvQJptHW31hxtpFHof+vTvxQSQRAo7qUazbvqOmJeJxDd4Adh5p1d4PrVKOv/BYvUe61YT12in9de9nzdmC/yzba+uaGcmBjG3KC91p97tYuFUZf/35qy0A4q+WwmAkypUn9MGye07FCEMbmCjGalZ1LXrlBr3YuXRHyAx006Em3X4LNusXJmrUhVC6jC2gKOmkJMydTnxiHkb84cuYjzvU0I6KQrepiTQjw4MbjPRgfD5TIZ8kw8aepXnaipgZJNBCZ4P4ArGveMzdpDjMr9yjL+1kbIysghdEgsxWtxjJJCDKKHDF3hltffRsvH/DxBRcESOZOAUeflEKS/VrYcGNjIE06W5KiXGwoT1MuVFqWBEr9Fj3W7FiDGoGovgx1LX40eYPoqLIje/vDk0MSvP0A+6+XfNNj7/7nOFYds+p+u9MQRUyhjVkXFXgFuAXpbSmvN7w71UAlHLA6w80MkNRRofBcVzEBc54oReNAL3PEAA8N3+b7v3Gg0145LON2F3XqpuTvLp0ty6NnijszNI/oinu7NDQFt93tPiCYQF4RgjWujFwfL8uuvfxKjka2wL428IdptFMMqC265BMS3D9cQQYiHuyaJCC7jWUiLKqtU1W8QIZlCfL6PwEJSmu3H2Xg2cqok6AS+DhD8o693YgernPdEDa3s5wGwVEybKcX6KQ34Fu+bdUN4f1BT1K8nTvk5HOY+z+Zo5TSqEbze+M6WoPfrIBPnVCSptx9ynL16oPANbBeoFXJhTf3x0KcBj7RkZqIQslBeokzGg8nC6+3HCYpaUwsg6i3Oiuto9HDcHbv8zVBzfOeW4xXl6yC4u31aJfeT7WPniG9tm2akVJN7Z3KR47X1FxG4PdQPyBiWTQ6g/qqmAx9LDWjYFLx/fWvY+3ZNldH67Fk19sxgqDWgII+WzYDZx4qRz1eJQbZCD62nd7dNs3G9JUrIIbTnVywpQbjGQSFMOrMjCyB7eTx3c7anFEXTX6x0+PA6AMRDoa0pTF62GUTh79bCOmzloQMW86Xkgf1LtrPsZSqV5G5QbPc5pJ3Zheenf+RCF/geumDgAQPtENiDLOVwMfALD+YCNafUHTCemVJ/axfV46MJJJBpfZyJz1hzD+0a+1hRqizilwK5OweBZt7OIPSppRLgCcOqxS++z5+dtZWgoj6yB+fZVFbgDWPlePXzA6bNv6A00o9oSCFzuOKMGN66b219LWzZQb9Wk0Cn95yS48+MkG7X2bXwxLxWGEYK0bQyeRLXQ74lJuyLKslaMzKzFGzhDtq4lUk65g4hdjX/Ukq3PbDbnMxsbIajVOU26w4AYjiQRE5lKfzbT7RRxsbMeTagWMwVVFAIDWDEpLETpBWsqibUplq/oUrIyR38El8Pj4xsnadqPnBgCM7aUEP04ZWhn2WTIgfeXSHbVa37dsp5IP/t/VB7X9mtuD+HJDtWltpVOGVmLh7adgy6NnxXTuA/Xe6Dsx4uaRzzahtsWPmiYlQEfGVcSgMJ5FG7u8vGQX7v5wHT768QCA8ECKj5WCZWQpeS4BeU4BXmpBgSxSFnscmDq43OpQ/O3KYwEAe+oU1WABlepiprhNpnIjWpraI59t1KpiybKM5bsyo8R8psJaN4YOj1OImv9rRnVTaIXN7GjOZloK+VRK0HPDKmhx94frTK/LCJmAxvNbMBhWBCUZDoHDt3dNx5xbpnb05TCSjHESQVZp1+5PbmnreBClzuO5QZpvu2mMsaCVxFVPcs7obgCAH/c2hO+b5ICQ8V9DBsyvfLsb81Uju31q0MEl8DhteKVuML6rrhVm9C0riNlYjpWETS3E04WkHAXUNCDSJiQjX9+KatUEsV6V5nsNq9i+oMg8NxhZxdjepehXlo87zxqGPJeAw9SchCyW/mb6YJQVuqy+AsO7K15Ge44q7WyehT/am9eeACBUNjYZPPTpRixRg/qA0k/trTNPzVy1V1HHbzzYZPo5gwU3GAbyXHxcubj0qpffJJc01rQUmnjkmwMrCgEAJ/TvGvOxQCi4EWTBDUYSUdJSePQszcOwbsl1C2d0PMb2jRiVkRWXjkTzmsj82IbmWWL0okgGoizrgt92DK6TPg9UT0+bmpJVQOK38cYvJuClq4/HVRP7afuk0YOSkSAk2ERSjtrVAAPxArjtvTUpOzdJffQGREiSjH31bZg+rBIzRncHoAS2WFoKI5so9jjxze3TcEyfLjja6senaw7i83WHAISCex6XgHyXIyyd45VrjgegVDICzJUbgJKeePnxvbUgSH1r8gKUry7djStfXqapPP+xeCdO+tMCbK8Jr/h4oEEJXv71f49N2vmzDda6MXR4HEJcE3p6hY2kcqw/0IhHP9sIWZa1VYJog1WzwVs8yg0iQ4vXBE7gOXBcx9amZ2QfSlpKJ5hdMuLC6GOQSTmxkjZRz/z7j6gq2izyphNBku0rMboWKKt8ZeqgN1GM0mMzqTP5N/cpUyqfdEtyZQHyT8+kezMb8RiUG8QDgCycmCmFkoWg9jFPf70V/1m+F9VNPrQHRJw4ILTYw4IbjGznX0t2AQi1qflqm0erN4ZWFWGa6klT4HYg3yVohQeMyo1PbpqCJy8ag5I8JwrdDuysjVzCe8m2WvS7azYON7bbvua/L9oJAPh2u6Li2HGkVVNgAcrcZp5aDXJ4tyLb35trsNaNoSPPJcRlNEavWBLlxjWvLMdLS3ahvi2ACtXkJ5pDuGwQ7pYXuuJSbqxSBw6JmKY5eZ6lpTCSCklLYWQn//7FCdrrJXdOs0x76whEufMENwhmKsBEkSRZp14h8YYnLww3mrtmUj/86eIxuMxgup0onCrdoH0PSD9HFgfIJHhwVaG2z5I7pyV87k9vmpLwdzCiQ/62ZGLVpnoA0OUb99enpiJQIBgat3y4aj8ARRlEBzQyoYITg5FK+pTlQ5ZlLS0lXw1WlKlB66sm9sWXvztJd0x5oRtHmpWUFpJCZoTnOQypKsSOGvM0QcLr3+0GAKzeF15kwYomr6IGIQvCLe1B3P/xeu3zJ7/YjI9VP6YiT7jJKUOBBTcYOjwOIa7UEVrtQQIYZFVq39G2sColdhB4DqX5rrgGuJ+sUR7+eMvaAoo8mBmKMpJJQJTCyoQysge6+kavLvkdeCXhkKawM3huEIVDKtpfvyjp/AZID2H2szgEHpeM7520CjPG3oi+DrLC36LKkklww+MUsPbBM7Dj8XOSck+N6lmCUT2LO0Xf9vy8bbj13dUAgBW7j6LfXbNTViI42ZC0FBLcIMGEW08fou3z5QZlBba2xYdZczYnrTrbv77dpb0m3ioCz2mTNgBaRScGI1tx8jxGPfAlrn1tBQAlLQWAVgHFzNy9S0FI1ZHvtE5Z7FbiwXc76/Bf1bTXDNLeL9xaa7mPEZKWQq61wRtAXUtIufHSktCz7XGysaQV7Jdh6Khv88MvSvh0zcHoO1PolBtqB02iind+sNb290ynSpY5eA4ugddKqcVDUJKxel+4/PP0EVVY/YfTIx7rcQq6qi0MRqIERZmlpeQYl43vjari5KQ1xMv3O+vw5rK9ADpLcEP5fyqUG0FRr57q21UJGFQWJTf9ww60sicgSmj1BTFrzhYA+sBHsceZVMXN+gNNmKcamGYyT329FR+uOoBP1hzEVf9aDiBkppfphJQbymRl4Vbl9+7VJV9Tz2w+pBgCPvTpRrz4zQ4s3mZ/EmSHHiUezX9jaLcijOwRKmk8c2wPq8MYjKyg1R9Eq1/EgQbFpJmkpUxTq181esM9M9buD80X8i2UGwCQpwY+bnlntenny3bW4euNSvDyreV7bVdMK1A9oEj73+gNhM1DijwO7Hz8nIxShmYaLLjB0EFyzd5dsS+m4+j0j4A6IC1QI4+x1IJ+eOYoLS/UwXNwOfioqSyRWLOvAee/8G3Y9nNGd0NpvrVrMqDI02qb2eoGI3kEJQkO5lKf1RQZDCo9zsTasGRABllAqBKJXbYcbtYGh+lg/YFGzcMpnpTEaBifwV+dMhAvXTUepwytSPq5jBSrAf/yovC+JyDKqKH6GxYEDfHZmoOaAqJrQeR+O1NwqxMp4rVBVBoep4DRvUowsKJA+zcR1U4iCzkEemGqLSCiV5c8AMAjM0dh2rBKrPnDGdj95AycMbJbwudiMDIRMof4bO0h3XaiyiBp8pKJspu2RTJTdhDyXJHHcU9/vVX3fuQDX2LlnlBgtrbFh7eW7w07rjhP6SNIYL+xzY9mQ2WlKYPKk6YmzFbYKJuhgzjH23WpX7W3Hku21ZoqN0gEMpbVN6fAo4+6kibwnDIxiMNQdOKAsoif9y8vjPg5oAyiYgnMZCP+oIT7/rsOW6tjTyti6JFlGQFRhpN1SlnNwjumYf7vT9beu51CXG1YMqFvuVgT9c78yyJMfnJ+Uq/HigWba3Du80uwrUYxajPrOxrbAvjFqz/gYJwBF+Mz6BB4nDaiKi2rYGeOrMKsi8boUhMI/qCkW0lMhzdKZ0hNAYCvqOAc8SvJdIhy49PVB7HjiHI/l1GBGY9TwNFWP854ZqEWfHxvxX5siSOFl9DcHsBv3vpRe9/mE+ELSjimT6lmjliSz/L0GdnN29dPNN1eparzpgwqxzWT+uE3pw4O24dUTqHNd82oaYq88NnFZPH0ov9bqr2+9rUVuPvDdQCAh2eO1PyUfEERN7/1I2arlV7qWv1hhqTdStKvMuxssOAGQwcJSNhZadxT14oLX1yKK19eZmooSsx4WmN0vD+oljniOA4FLgda/fbkXDTRBm3jqNx4K/JdQkrc+jOJaBOEhVuP4N/f78U/VAdnRmws2noEM55bjIAoaQNcptzIbroWuDCgIhQ8dTuU1DpjpYx0Qq/yZHI5UXplCzBXbny+/hDmba4JWxmzS1DsOPUUx3G49Pjemh8DAMy5ZSoApc+igxupDLZcO6U/gNRUo0kmtPkmIdBJKpgR887lu4/i1KcWAgAuOKan9rnHKWDt/gZsrQ5VXJi3uQZn/mVR3OesbtJPgvyihMXbajtJOIjBSB4Pzxype9+7a54W2MtzCXjwvJHoX14Qdty0YZXY+fg5ePPaEyN+f7RudGSPYtPtxFeHTpc/a1Q39OqSj2KPA76ApHkGAor6xDiHcrExZFTYL8TQQZQbdlYab6ZWCEyDG65w5cZb10VuMABgiVoCqdEbgF+UsOFgEw41xrZKl4wVKY8ruz03vttRh0lPzsdna639VUi+sF0lD0PPg59swIaDTdhW3YLTnlYGrcmQHjM6D24HD0lGh1Zeon02pDijG2YS3mRjnM8HTILs5PLfX7k/rnPUNPsSMppONsO6FSPPKSAgSppTfqohwTdvhgc3yBiC5u4P1mXU388Ks2AmXVpyf31bzAs/0TDzEABC1eMYjFzhqon9dO/N2hIreJ6LmvZBlxM36xutjq9t0avBu+Q7Nb8nt1NAg4Va/Jg+pRhapZR+ZWWco8N+IYYOorawMwGjn+cgtZpCVtucJg/gxIGR00UA4IGfjNBeE4OtiU/Mx+bDTVGPDV1D4oOffKeQ8YO/RNheo8hfl+6os9yHBKZYYxof5YVKbifdYQVZeeGcgqzSd2RQS5eWEkNwgw4St8ShoIsVYyqGmXJjV21opbu+Nfa0waU76tLqIWIHpTKXrE1OrzyxT0rPR0oitqXhb5oIQROVxuGmdhw2KBQyEbMADKkgBwDVUWTt8eBXS8Ae06cUN00blPTvZzA6E29eGyrNnmzFIt1XmfVTpO9cdb++cEF1U7tusfANqnx8jxIP/rs6tNg4dXA5ACDPKeCDGyZhQIWiNInkBcJQYL8QQwd5aOykpdCRSbojJwOmeFf6ju8XynW74eSB2utoNaVpAqJkKmkFgJ6leba+Iy/L01Ly1Eh2pAAOabRpGTXDPmSlbmdt6N7taHNJRnoh5do68u+uV27YP242ZciWDlWBwxjcMPnN1uxv1F4faoxtkmvXsT7duBwC/KKE7TUtyHcJeOAnI6MflACkXfq/b3Zg0yH7iwbpJiDK+J8J4YEeo8FeJhIQZc3Mk5BHBTd+fcpA4yEa9/93fZznVJ6X+2YMxy2nhfwE3rvB3IOAwchmJg0qx1OXjAVgHihNBFplaBXccPAcuha4cPFxvTCml1KpaF99G37175UAgBeuOBajeoYqGA2k0lnn3DIVJ6regaX5TvA8pxVBcDCz6aiw4AZDB1mhtyP7pMehxAAOAPYdVVbFgnEGN+jazUO7hR52u3Lqz9YexPaalrCqBYTx/brYvA4BvqCImqb2Ds2XTxXk7/fRjwfCDIsIJD3JzZQbcUFWSO+jBqssLSW3CCk3Oi64QbfFsaSl0MoNK8l7MjH6TJgp8Jq8Aa2PiDVtkPg3leRllqmiS+AQCEqoa/WjqtiT8pU50i69t3K/NtDORERJRr5LwFUT++LYPiGfrCZvZgapaPxBCW4Hr1s9LqTGJEUe63vwje/3YIFaqnfnkRb8aLP8LTFAdwo8HAKPi47tBQAY1q0o5utnMLKBIWoqB5mXJAudcsOkb6dLjv/5krF49vJjAACvLd2NBVuOAFDKM9PQaWvDuhVrniANbUrfS4otHGFVHKPCZiwMAMAjM0dibK8SrVSdneAGnXNGXH+dAodP1hzEJ2sOxp0XS6sEWn2hwavdQflNbypeIHRDcfnxvU2vOxIeB4/2gIQJj8/Dv5eFl2zqLMiyjFlzNuPpr7din1rqF9Cbye2kpN40IeUGayrigb4HCfWtmb/qyEgebqLc6EDfGpIeBcQmz6UVH6meULYHxLCULXrQ6A9KmL32EBq9AVQVKznKdn7TI80+LUhDvu/eGcOTddlJwengERAleP2iLnUhVeRT7VILpWbZXtOsM7PraMjq58MzR+HDX0/GrIvHAMj8dBpACWK7HQImDSrHZeOV8Uf30lCVA7KQ5HHyuPvsYZrknPCzV39Av7tmY/pTC3HBi0sRjca2AH779mrddz96/igsvmNaxEAKg5HNjOxRjCFVhXjyotFJ/d6zR4VKKZsFN/yiBCcfGjeTMXQ75Wc4qFJftZH0fpPU9H1S9prEUcj20ZTag2EOm7EwAAA/ndgPH980RXtvJ5DAmwQJyKDz5rd+jFu54aaUG3Q5pXd+2BfT9xRQqyT05PyqSf1sXkdoALhwS01M584kmn1BvPjNDjw3bxt+8tcl2nZ6gFjkNh/8EBl3fgxmTIwQn6wOnyjcefawDrgSRkdB2p6OVG7QnjmxKDeosRmaUpgKcKDBi2H3z8Ezc/UVUAKiBH9Qws4jLfjJ80tw45urcKixXSvpZ0e5cfxjc3HeX78FEPobZFqw1inwCIgy5m6qTkuaCD3ZpQ3urn9jJW5+60ddELwjCUqyToI9ortSgaA9IKGmOX7fjaOt/pSXwfUFJe25u+X0wbjzrGE4oX/Ic8yl/rtK8pz45ckD8cENkyKmzAajXO/Nb4cM3onyJ88loLe62stg5CI8z+Gr352MC1UVU7I4a1R3zLpICbaatSUNbQFd2WUStCbp/DPH9Qg7hjzjM8Z0BxBSGBJF49jepVh+76k4f1zPsGMZejKrh2dkDLTqotUXNM1V5k3unm7FoZWJI4bBxze3nWLr3LRy45zRoehorJkhdH4rHagY28te1JNeQZu7qfMGN2jvEyJvA/TKDdHixyXyN2I0y4gNY4DvlycPMC0/xsheSHvWkRWHRGrwFVNwgwpgW6WuJYNNB80n9LUtPpz17CJMf2ohtlQ3a9srixUlil1PpE2HmjB77SFthS0TgxvpTFcrzQ8PZs9eewg7jyjeQBszwIcjKEoQJRkuIdT3kD75X0t2YcJj82yna9DIsoxjH/kat7y9Gje/9SNeWpx4mfN1+xtx0f8t1VV181PBje4lefjVKQN1QUYSgCBq2S4FLsz7/ck432TSAwCD7v0i4jV8tzNkDM5KRTIYqYcoc43KDVmWsb++DRVFIcUk6XP2q4HjP5w7AkZICg1RZhDPHlp5XlnkiVrJhcGCGwwDZ45UggnDuhfj+Xnb0O+u2Rj5wJcY+cCXYfua5QVXlYSCG7Qb+KDKQvSzOakrdDswskcxHvzJCF0OdjnVUNiBHsPTg1ljXrcVtPdHZ8bM7AjQTwysVoVSuVqbi7jZoDPncGeAoSgdZPP647uONftSV07ynRXmqryPVx/UJtw0A9S+pLYlcu4xPXG98c1VWoAp0wySXQKX1gA6rYgElMH4jW+u0t5/o+aEA8B7K/bh643Vabs2Qpv6t6ID66RPXr77KABgy+Hm8AOjQNQ+s9cdwidrDuLR2ZsSvVTM31yDlXvqBP7uhAAAIABJREFU8f6KUHlin+q5YQUJdBTn6Vd3zxjZzeqQiCbtw6n8/RKT4BWDwUguLgtV5v8t3IEfdtfjQH0o2EnaAsVXyY2ywvD5zM8m98fcW0/CmF6Kv1CRx4mV952GO85iat9YYSNtho4ZY7qja4ELA8oL8NTXWyPuayzbB+iVG7uoChHba8w9Hay+d/bNU3HN5P4AQg2IVf1nQnVTuy5feN2BkKu+xyngtZ9PwM/V77SDJ8MGwPESsCg9SqelWO1jlkvIsAcptUvDSurmHplgKEqUeA6e00wH7eCg5Hn7DeVTG9r8qLEoyblkWy363TUb++vtpTfQykA7z8jAykKU5juxwULxQXjG0IetV/fPNOUGnV7z0HmprZQCKAsTu5+cgV9M6Y8Cl4BWgwLmreUhj6nb31+L615fkfJrAoD1BxrxwoLtAIA21W+LTok0BqXMUmOjkQrvGDIUov1LmtsDlhXbgFDarFFlMb5fFxS5HfjTxWNwytAK3WeRyraP6FGCIo8DWx49S1ODMBiM1EGC5Yu2hYLB26qbMWvOFgBADWX86RB4bc7UtcB8oVbgOQyq1JuMlhW62bgxDtgvxgjD7eBNzUCNq2T5JmaJ5SbRyERZfs+pGNWzOOqg/Ip/fo+b3wrlndIrPr265OHkIRX4w0/CpWB2WbbTemCRyVipMtoos1arMllkQpaFxWJSzoznloRtY51U7qF5bnRkWor6AHcpcMVU0pWksPQry0dzu35SeNKsBZjw+DzT4658eRkAaF4XkViwuUY3aSuOMCEkHNunC3qW5uG7CJM9IDzdjlSgyLTncGt1KPhvZkKcKjxOHu1BSTMEt0Ntiw91URQz8XLeX5fgT19ugSTJWvCdHmcY02nu+GBtzMblqSgjS4Iaf1+kKIVkWcaBBi96lFh7aJAUG5JiRags8mDdQ2fikvG98eL/Hosit0MLclz58jLLym1efxBdC1wZp0piMLIVUrqVVhc+P3+75f4etd/pwpRVKSezenhGRsBznKkHg3FQLMvhg0Srh/bOBGRVpfkuDK4silqKcGetXr5819khR/yKOIIuxpXWW99dE/N3ZAJGsyMyONKnpZgPmDpytbmzY/bbsVzo3MOTAWkpovp8F7odMV3HYnVFyinw2HSoCUdbQwHmJjXY8dRXW3TH0KvX9P5mrD/QiJ+9+oNuW4FFCW9ACbJse+xs9O6ajw0Hm3CgwYvxj8613N8Ys52vBjcyeQLYJ40GkALHQZRkfGqokDLAJIX0wU82AADGPzoXxz06F6c9vTDp10PiFL6ghNe/2wMgZFIOKPfhi/97rO6YjVHUO0aa2pOv3DCmb369sRrtAQk9IhiETh5Yht9MH4QHf2Kt1Ml3ObDuoTPxyjXHa9vu+Wi96b6tflHnM8ZgMFILqXZC+6hFKuNNvP+MaYGM5MNG2owwDjR48eGqA2Hb99frZckBUcaA8gJdqkehYdWNlDKKQz2qw+MUouaKG+MxZ46s0l7Tea128RsM3g40JLdOdrrwB/U/DJnctPqDcKqO7WZuz6IkY/kuJbdZBpNuJANXBk+qGKkhE9JSiOdGnlOI6TreVT0EyArVK9/uwjs/7NWlGRpXqt5ctkd7bSx1Z+Tc58PVTScNVlapzSpHTB5UHjZ4jOS70aVAaffPMvgYZJpygyad1S1qLYJPZvfIq0t3695vr2mJWsEjVsg4Ye/RNu18ow0G4OeM7o5nLx+nvd9dF+7JEolU+Ei9tTzkGbO7thXXv7ESQKjagRkOgcfvzxiKLgXRJzocx+GNX0xQz7VX669X72vQgott/mDEwCCDwUgubgcPjtObhbscoclOlUGVRdrLTO5/sgX2CzNsc9W/luveByUJToHHNspboMBQMpSkhsTi0G+Gx8nHLOumy91FGmRY0TdLqloYU068qmLjcGM7KtWSimZle/fEOGhkRId1arkHMRS97b01HZbaJkoyBJ5T2tE4qnI8NFNZXf5yw2Hc+cG6iKv27YFQe7O9pkXnvWSHe84Zjnm/P9m0zbYKMFsZLY5Vjdl+MVXvtZRpnhs0kXwaks3vTx8Stq0034kDDV5c88rysM+MKSDGVKV4kSQZy3bWwaHmpNOVcQpNJuznjumB69S/KV2hxA4bKC8uO9c1Z/2hiEaexjSRU/78jfa6e6kHyeLYPl2019+r7cj5L3yL5+dvxzdbatDmF01ThRkMRmrgOA4eh6ALbtDB99k3T9XtT1Rj6VTn5SqZ28MzMp6gqNSgpwMXxsnbmJ7K4DLS4MAOHqeA9hgG5Y/M1Es94zHYmja0MuZjMhGjKoP8jgcbvNrKqplyg56kMOLn7FHdNJk3C27kHnQKxLPztnXINQQlGQLHwe2ITblBKMlzom9ZPmpbzFf66RV8Y5WpRVuPGHfXGNG9WHt934zhWHzHNOS5BAysKDRtk2jZ/dCqkPHawm3m5/hKrfJxfL+uuu3ODH4OjQsEqaSs0I1KtQrZzHE9sPSu6Vq5cLpiCsHocZKs4MYTX2zCZf/4XjO2PqwGLF644ljT/QWew70zRqDQ7cDBhthKFP+4tyGqoogw4oE5uOHfq/D6d7st9znSbK0cmjSwPKZri0SB24G5t54EANhW3aJL073mlR/w496GtN47DAZD9S1Sx8rba1q0dDrA2oPwmD6labm2XCZze3hGxhMQJTgpN/33b5gYVkFlQIUyqUswtoE8p4CAKNuWwVYYysYa02XiobOaABnTUkhD7BclTVlj5rlBO/gzQ9H4qW/zawPRMhsSZEZ2QU/Itxxuxh/nbE442BsrkqwoN1wOPq7ghtvBI88phHlojFFTBtZTvgdHW/Wy/8Xbai2/l56g9Ssr0KVkmBlFzhzXQ3v93xsnY/owJQB930frw1bQje9f+VnItyA/g70JzKqQpRLi6O928GEeEcb7lBjFTlMNLpOR4uH1i/jn4l26bY9/vhkAMLgqchCiR6knZuXG9iMtGNatCDdPHxR1X9JXPjp7ExZsMS/Vu+eoUhHo5avH4/5z4zcstwNJD3v4s40Y+9BXYZ+z4DmDkV4Entc8Cq/45/fa9vtmDP9/9s47PI7i/OOfvVOXLLn3bmxsY+OCcaF3MKZ3QocAP3oSktBLAiEkhJIQEpJQAgQCJJTQewkQOgYDBoPBBhfce1Hf3x8ze7e3urKSTtJJfD/Po0d3e7Oz7+z0d955p0HYcQOMUqNbitNSRPZQSyiaTG29S36ew1UHjuFne2/JNoO6EByWeUe1ZWNbCkBlyIF50FKjuQPGk7cfwoaq2kZ7Zs8FvBXQH+5gzHgra+qor3epqXNjx+wlOy2lsg1Pd+gIDOhqJgrzVmxkpZ0UjuzdKd0togPin3Cs3FjNn1/5is+WNM4JYnOprXPJizgU5jV+ex8Y89tkJu/etR/eFT8q9NZXvwLgwdOn2dMtkreZS9dVJmwz6VqWqPirsW3S1QeNYecRPfjX/01jnzF9Yr8XF0RjjqoXrdnM6MufTbj/rPs+SPi+65Y9+eqafXnrot1D+TloCx46Y7s2e7ZnleM/rWbt5hoKohFGBJQMfawSJJ1FQxhq6uoZdfkzKX9PtiUlQY6K4kZbbmyurqNTUR7TfFYVwdNflq6rZMGq+DHGtfUuJ92Z6PjWY9ZCs81lbL8Kpg3t1ihZGouTwXlZexyfCNGeiThxJbD/6Ncf7ji0Qdi/Hb8NfzluG8b0K2/wm8guUm6IJlNbV09eJMLQHmWctesWSTveqbaznxwwC24s3rFpYSfcngPRJ8/dgUfObP6AcVC3EmrqXFZubJkj8FoST3Hh+SCprKmj2io8vMFjTTLLjWopN5qD589kY1VdTNEhL9kCWv/UnLr6eqJRh8L8aFozeo/6epeZ366ma2kBh0zsByQ/xcTbGlJe3PC38QM6M7pPecrnedsfPIJWTZ41Wf8uxdx18uQGW0sAtvQpCzcH+oanPl4CwF+O2yZ2LRpx6F2RPT8I2WabQV0yB2ohrj5oDAD/PmM7xtsVxu/WVlJdV8/OI3okhN1ztHHW/eB7C5vlVPSr5RvS/t4nQ155lhtzl61nxh9eY+2m1JYkT8xazGWPfsKy9VUU5kWZOrQrU4aYMnXmvR8kKNqmXPMiO/725YT7U/ntWrOpmohjTNAHdotbHl1l32e2OTXgP+aQCf0YZJ/b2lY/QnzfiUbiW/N7l6dvr3p2KmLvrXpnVFKK5iPlhmjAWbsOCxWups6NnbaRjIfO2I5pw7rx6S/2Zrstmrf3tCivkcoNO5Hfqm8FEwY2fcB46MT+QHyFsqod+qHwtqV4W3Mqa+pjpuleui599JOEPe5fL9/AYp+5r9aDGo/ntHDS4C48ePo0/n7StkQ0+BTQ6uWgtt5YbixcvYmVG6t54N1v04b/x9vfcPCf/seqjdWxSZ3fx4XH2bsNB6B/l4YO0vKjDlv27sQni9clbbeDPjW6BpQbnsK1MSdA+J2lDu5WwtAepew1uleaO3KD4GkurUmp7QO8LSkjenXip3ttCcC+f3gNgKE9Ei03dvEpO069+z2aytNWAQVw4fTE4+Lv/eGUjJOA7mWFrNhQzR43/JdPF6/jyY+/SxrOdV3Ovm8m97xl9sMX5kdwHIeL9zWm42/PW8X2176U9lmpxjprN9dQXpxPJOJQVpjH7F/uzUNnTOPYKQPTxtdULpkxmqMnD2C3kT158PRpXH/EOB46YzuOmzqIc0JstRFCZI+I48S23ffKYcX59w0pN0QDDrET+mT49zHX1hvLDT95dgCw4/DusVWobBxP5p04ENbJZVNOR0nGbw/bms9+uU/sfOqmnDTQ1niTCM8Lf2VtHdVWueHPm5nfrgHMqu1u17/K5f/5tJUl7Vhsrqmjb0URt/xgIn0qitmlgzioFc0nmY+blqSu3iXiOCxbZ6wonpiVfBLoMX9F3CTfa/K9E5VG9u7E/GtnMP/aGfToVMieo3vxnW/V2zv+znEcthnUhbp6l/fmr27wjGBbGtyC4FmcFWfwj/HQGdvFFIkffruGlRuqWLu5htWbathxi+7tYpXslmMm8vlV+7TJs5/98U7cffLkhGtBH1XjB3TmiXN2iH13HIdPf7E3AC/PWc6jM83R8X986Ute/Gxp6Gd7ZtzbDOrC6TsN5d1L9mDWlXvxxdXT2T7EgkjQCufbVZsaOD2FhpaJXpigJV26495XbKhm8IVP8kngtJW1m2sSxhslBXlsM6hri5a7Xx+yNXecuC2Th5jndC8r5KqDxjA8iQJSCNFyOE58231tXT1ThnRl5mV7trFUQsoN0YDgMXkHT+jHwROMabJfueCdluJnwoAunLPbFlx/+LisylQcYluK3yQzGw5EvTiLC6Kxd9IeTxDxlBveXurZi9fxx5fMqQ2lvn30R/zlTR7/aDFrNjc07ZVD0cazsaqWrft3zopyT3QsWvuY5TprueEpEDZUpT/loqww3i54fhUOntCPsf0quCswEe7RqTDB0WhFcX7MEsE7ivX52UsIsrnatEu3nzCJF8/fucFksCZgXZaKbQZ1iU28l6yrZJurX+CgW95g7eYaurYTx23mmN62cXLav0sJOwW2nfgVTbts2YNRfcoZ06+C3x81nntOMflfWpjH0ZMHAPCjBz5k7aYafvfcF5xyV3hLjsqaOnqVF3LPKZNxHIcenQopL8oP7RjzqG0TrSNuffUrjvY59fMIblnqW2G3CZYmLoJc+sjHTL3mxYRrP91rBEN8x8Lvd/Pr3PDcnNj3oHJDCPH9IRpxYj436updOpfk56xPp+8TUm6IBvTzeUy/fL/R/O7wcYyzXvFHXf5MzEN6TX19wpnOYMytz99rS3pm2HvWWDL53Hjg3W8TnGlle++pp9xoykkDbY23Suz53Lju2TncZY+rKglMvM/550yOue3t1hWwg7Kxqo6Swtw9lUG0Hafd836rPm/mgjU4jhPz6p7pCE+/cthrVscN6Mzj5+xAr0Db3q20gJUbq7n+uTkMvvBJvli6IWZpN6BrCWWFeaxL8jzP8Wj3ssLYKRB+PKVg8ASPZHj9zXn3fwgYJ74AXUs16WwKnX0ng915YvyUmQPH92PH4XFFyOk7xbew3vTiFynjq6ypY9m6ho4/N1fXUV6UH3Ns3ViiESepk+Z35q1K+O53onvmLsP4zWFbA4lKnGjE4eU5y1kSkPPwSQO48oDEo+X/8NJcjrj1TWYvXscrc5azcHXjTmwRQnQM/NtSauoaWrOLtkG5IBrgX0GrKM4nGnESBh/n/nMmEPfA3xrElRvJlQsXPPQxYBx/Hj05+3tdvee/MmcZ/3pvQdbjb0mqY5YbDQf6wVXRiAOffde6Jzl0VGrrE49KFsLP561wYsr+N7/O4AufZO6yDSxaszlmUTd3WXpHjv72PtM+fs9Xxs0vzY1d81tyDO9VxiMzF7E+cGyotwVgTL+KpPHed+oUbjxyXCiLhvIUlnrtxXIj1/Ccu04Zkn57xeDupbx10e4A3PnG/JThTrzzHSYHLCLAbJEszmCZk4mjtjXWI+9cvDsX72v8dhzxlzdZtj6upPAsN244Yhw/32dkzNLCcZzYwkXfzolKu5fO35mvrtmXXuVFTBnSNeZY1+Od+atiPkmCRyQLIb4fJGxLqW9ozS7aBo28RVq8QYF/APLKnOWA8Xaf10pe/2NHwWZwKHrwhH78+pCxWX++pxi4+aW5/Ozfs2JWInf9b36DPbi5hrctpX+X4pjfDY+qmnquOTj+vlKdJOfKpWijqat3iaqjEz78yuB9bnqtxZ/3caBtGmdPwQBYV1lDZU0dc5asj13zFBB+y7dMyuJkHuL996+2E78D//hG7NqydZXMW7GRc3bbIqWV3RY9O3HwhNT+n/z4J+D+kz36dJaDt6bgOA5vX7w7d560bcawvSuKEiwgvJOh/Lz1tbGkePnzZZx57/usq6xh7rL1bKiszehTJRMnbj+Er67Zl57lRRwwLq6AmPyrF3l3vnmutyiSTFH2xoW78fJPdyHqK0PbDOrC0B5lsbJZlB/lhiPGc/9pU9ltZEPfSX87flKz0iCEaJ9EHCful6rO1YlFOYKUGyItnsOv4KR42bpKNtfU8fzs8M7DmoM3KAnunYVEJ6dBp3TZomd54gqgp9C44rFP2e/m11vkmdnCU24U5EUavJ+6epcfpPHqHnbvs2hIXb2bMGAW4tA0zppbi8O3MTIsX1/F2ffNZO+b/sum6lpenrOMsVc+x/vfrE443jOT/6LBPn8E+4/ry1UHjeG6w+I+l7z7v14R9zNy5F+NX4RJzTwiPBmX7TeaKUO6cvCEfozv3znzDSIpvcqLQm8X8Xy4RCMOdWmc5Z7093d56uMl/OBvb7HHDf9l3oqNWTma15tQ9K4oSvD3dfitb7K+sia+SJNEudG9rJAh3UsTrC+OnDQg6XOmDu3GHSduy9xfTWe7YeaY+4PG940djSuE+H4RdZzYYqesdXMHeboTafEsJoKT3E8Wm8n9Xlu1TqfuDUrO+edMqmrrOWyb+CTBv1VlXRJnmNmga8Cr+sbqWv7z4aIWeVa28TzF50UdvlubuJ+4yk5ibjxyHD9+4KMG93qnqsihaOOprZcWXxg6l+SzZlMNWybxD9DaHLntAP71/kL+7573+dJuT1m5oTrmp+DVOcsSHKIl287mx3O2mB91+M2hYxtMiHuXF/PJIrMFZ7+bjbWK5xMjvwXqx9DupTxw+rSsxytSUxCNUF1Xz5HbDuCRDxr2i0O6l8byHIiVh5W+o4azxaHb9Of8f8X7srFXPhez5vR8wSSjW1kh6ypruevkyQnWP8nIi0a479SpuK7bLk7jEUK0DP5tKXXalpIzSMUkknLrsRPZaUQPfrjDUAD6WO/i3mrF18vNQGXq0G6tIo9/UHLj84mOyzZVx53Vde/UMnusI4FB+MaqupjzulzHs9xIplEe3cdMtg6e0J8+dgVt5xE9uHTGqAZhXdfltS+XJ1jKNJaNVbUcd/vbzF/RuqdFtAX1Um4Iy4eX78X8a2dw4naD+fUhYzlkYr+k2zmySV1gj5l3RKu3NeXLZRsosNsKl62v4s+vGAefS9ZVxhwknrrjkIzPKcqPMvOyPZlz1fSkK/3bbxHvIz5ZtC42sQWYPCR7lhtPn7cjNx45rkFbLVqeF36yM4+fvQMPvLuAzTV1fLc20cFmfZo+Y3C30pS/NRX/4gfARQ8bn1zptsD86uAxjOhVxoSB4a19pNgQ4vtNokPR1vNDKNIj5YZIyj5j+nD3yZNjFhtDupcy87I9+ZX1z7DUehQvaDWfG1Hf58Rnbqo2JqdHbTuAY6YMahV5Vm9qPw7EjAdnJ+mgf5tB8cmFZ9Wx84genLz9EJ778U68d+kesd///f5Cjrv9Hf71/sImy/LKnOW89uUKfvvs502Oo71Q56qjE4lEIg5HTx5IQTTCknWVLXokbNDJ4XM/2hmA/GiEoycPIOLEtxu+/038dIkH31vI7a/PA+Ane24Z6lldSgtSKhVO3G5w0uvzr52RVZ9No/qUh/bRIbLLwG4ljO1fwbAeRlGxKHB6yMaqupRbslrCAfjvDh/H748a3+B6cHutn+2Gdee5H++c0VJJCCE8ohEntuBnLDc0rc4FlAsiNF1KC+hij4hbss744ihsJZ8MRXlx5UaB7/MXS9fzZ3uk4I7De7TaSvnqduQdvbbObXBk72Hb9OeFn+yUNPxRkwcQiTiM6NUpYTDonW6wcNWmJsvi5U9Nmn3ZHYW6eleryCIp71hHh1c9MbtJ9y9cvYlbXp6b1orKb9FWWhClwne8Z7/OxdS7cUfRr36xPGkc2TCx1er294cbjjAKhZWB/nFzdS2dS/J56twdeeiMaXQuySfiwGk7DW32aSmpOHB8P965ZHfeudic5tKttCDpkcNCCNFUIg6xI9a9hUTR9sjnhmgU3kDE86ofnDS3FPm+QbZnuVFbV89eN/43dj14rGm2OXn7IdzxhlnRXNWOLDeq6+obTFJ2GtGDLXom7v8fN6AzHy1Yk2C66xC/z3OOmepElTB4+eh3WNhRqauX5YZIjucbqLSJDpB/8uBHvDNvFYO6lbDf1n2ThvH7Igqa6XuOhb3tJ2/MXZk0jmy17yN6lfHF0vjxs0N7ZH8rgmh7ethtocutI3Iw2xk31dRRUhBldN9ywGzTag16djJbv966aHeKC6JStAkhsorj25aio2BzByk3RKPw/DZstN7RW+s0Df+gpLN1QBZUMGTy6t9cTttpKGs2VfPwzEWs2dgyjktbgpq6+tj2odcv2JV35q1iv7F9GoS7++TJLF6zOekA0HXjVgh1zfC54Vlu1DZHQ9IOcF2XetfsxxQiiFfHmmpp5h2Jfc+b36RUbngnRPzpmIlMH9M74beyFKb3vzl0LBc89HGTZEqHp8S57rCt2XdsH1QtOibdSguIRhxmfruGY6YMxHEcKmvqcV1Cn7zSEmTjRBYhhAjibUtxXdeckKfTUnICKTdEo4hEHPIiDhuqzMC5NY8K3XN0L56fvTQ2UHnio+8Sfi9t4cFT74oirjlkLA/PXNS+fG7Uxrel9O9SQv8uJUnDVRTnp/VcH4lZbjRfuRF0dtjR8NInyw2RDK9UNFX5tePw7sxauJYdtuieMszn3xnHnZ1L8hsoLFP5Hjhi0gD2GNWL4oJoVreOdS+LOzNtqrWKyH3yohHq6l0e+mAhD32wkCMm9eec3YYDUFrYspaVQgjR2kTsaSnegl1LnAAmGo9GGaLR5EcjccuNVnSe86djJjL8kqdjz/xlYL96/67FLS6D52PEr9woy/HBek19Pfl5TWtw/XMir82ub4Ziwm++15Hx0iefGyIZnlKjqcUjkmaLWHVtPSMufTr2PdmpLJ1StFmO49CtLPsnTl132Na88NkyRvRq+6NwRcuSH3ViirEH31vIg+8ZB9SyYhNCdDQcx6Gu3o0taEW1LSUnkP2MaDT5UYcNrbwtxTw3QveyAmqSjOjnXzujVbycO45DUX4kYU+x/ySXa5/+nOc+XdLicjSGmjo36TGwjcF141YXTdVLnHb3e1zw71lAx/e54Vm3yHJDJMMrH02tS16pcmkYwdrN8S1zhXkRhiZxotizPK7AuO34SU1WsoSlc0lBA78fomPy+Dk7MLZfRYPre43u1QbSCCFEy2EsN4xvO6DZY22RHZQLotEU5EXiyo1WPvYoLxKhzq4KeQOo3Ub2bFUZRvUpZ/5Kc2LI9lt0o8Y2ap8uXsutr37Fafe836ryZKKmtr7JjgH9cx7PtL2pW0qem72UJfYI4Y6+LcWz3Git03tE+2Jf6/OmqadNebUnWT1aVxlXbnQpKUh6/8CucYeeg7uX8Mkv9ubjK1vHyaPo2IzsXc4jZ27HTUeO5217UglAzyQWREII0Z6JRozlxoUPmYW7mvqOvXDXXshte3qRk+RHI1TXmgrcmpYbYE5r2WiPOFy9qZqDJ/TjxiMbnmffkkwd2o2Z364BjJ8KT7kx4w+vt6ocYampa/q2FA8X8Kzt0h0/GZaOvi2lpo3qh2gfXDpjFH//3/wmKx29+lOdxAJqjW/LXCofOv5yWVyQ16bOHkXHIy8a4aAJ/QC488Rt6del5beMCiFEa1NRnM/SdRt4/5vVAGyy/ghF26IRjWg0/gF5a0/eenQqZNk6syVkfWUt5S18Qkoy+vsGat3LCtlUXcfC1ZsSwlTW1CVsV2lLaurdrBzp2JzTUoIKkY5uuREzUWxlyybRPsiLRuhbUcT6ytom3e/5valN4vTzu7WVsc8VJZm36hXnSDslOia7trJlpRBCtBbdSgtZsSF+lLr8rOUGGnmLRuNXaDTVrLqpdC7Oj5ldb6qupaQNnHn6J6ydrdn3Dr95OSGM3ydHW1NVU9f0bSk+J3BOGieGmQhaanRUi4ZPFq3llpfnUlNrPWdLuSFSUF6cn+AfozHUxpQbDS1hoG0EAAAgAElEQVQ3Vm+KxxlmmCXlhhBCCNF4OhXlJSxSFMihaE4gyw3RaPwTttY+1q8oP0pVbT1VtXXU1LltclJJvq/xStWQLVqzmQFdkx+52tpsrK6lV6fm7Xd23fjJDgtXb270/TWBSVhrK8Vams3VdcxdtoEDb3mdehd2H2VWKzuqEkc0n3KforaxeJZPyZwrb66OD7Q830jp6Gh1UQghhGgNSgvzEiyRD5Xj7JxAoxrRaLwJ/dGTB7T6swvzIlTW1DFr4drY99bGr9xZsCpxot+jUyERB86+byaVNeH23n27clPosE1hQ2UtZU3cvuNX3USt5cZ/v1geatLkx7Nk8Hh3/mo+X7KuSTLlImfd9wH7//H1mFXLyg3G74G0+CIVhXlx30WNpdY6LatJcv+m6nhbku74zXtOmcyxUwfKjFYIIYRoAsEF1j4V8i+UC0i5IRqNN7kvzGt9c2bPcuPkO98FYPGaygx3ZJ8E5UbA18afjplIvQsrNlRx7G1vZ4xrU3UtO133MiMve4YPvl2ddVnB+CbJhoWLf6I05opnG3VvVV1D5c0+N73WbJnaig++Xc2IS56ObT966fNlCb8vWGXKhbaliFQ0R7nhrRQlc8z7xdL1sc/FBanb6B2H9+Dqg8Y26flCCCHE950+FToFKhfRyFs0mphyI7/1i49nubHeWg4UtYEM3vG3w3qUctVBYxJ+K86PctL2gwGzNSUT/lXWQ/70v+wJ6WN9VS2dijI7FkyHS8NJVLL9/qmoSeL4sD1z+2vzqK6r562vVyb9/cKHPwa0LUWkpjAvSlVt0yy2qq0lVHC718cL1/LUx0ti30+2bZEQQgghskuubD8Xicjnhmg0edbUvi0sNwrzI1TV1lNWmMeGqto2OWLOS3+XkgKG9ShL+K2kIMoV+28FwL/eW5g2nmc++Y4fP/BRywhpqaqto7q2nk5N3Zbis1gPnpKyYPVmhnQvDRVPMvP59oz3XlzSK3l0xKZIRUFeJOlRrmFYtt5YrAVPS1m8Nq5QnX/tjKYLJ4QQQoi0+BewbjpyfBtKIvxoWVE0mbawmijKi1JX77LdsG4AHL3twFaXIS9i0u1NcP/7s11jv3lm4F1KCthQVZvW7Pycf85ks8/XRv8WUNRssF6cm7stxXWhtzW/+8EU887XbKoOfX9TJ3G5indyjOu6PPzBopTh2sLhrWgfFESbti1l8ZrNvPblCgDWbE6sg6ff8z5Ak5WZQgghhAhHgW/rscZ7uYOUG6LR1NsV/Law3Mi3WtLnZi9l4sDObeIMz5s4eMc/DewWN0sryTe/dSk1R8SmUwA4gYMa3RbYueE5/my65UbD9zugi0nv5kY4QfUmcbceuw0TB3Zukiy5hFfsXBfue+fbjOGECFKQZ6zQGssa31Gvb329KvbZ77H9hZ/s3DzhhBBCCJEW/6EGWlTIHaTcEI3GOupvE8uNDb7zpCuKm+dHoqkMssqMoyfHrUYm2Am7Z7mRZ2e1Fz/yScp4/OZsO43owaI1mxtlDRGG9Vmy3ADw3G4U23xvzAkvnm+AwrxIh/C/4TlX/dEDH1Keohz261zM0MC2JSE8mupQNKhvdK1W1F8fW/uIbiGEEOL7RkGCcqNt5iSiITmn3HAcZ4DjOC87jjPbcZxPHcc5z17v6jjO847jfGn/d7HXHcdx/uA4zlzHcWY5jjPRF9cJNvyXjuOc0FZp6mjUtaHlxsqNVbHPb89blSZky9GpKJ/5187ghO0Gx679/aTJPHj6tFhD53lQfuGzpWxMcWyqX+N74Li+ANz7dmorgMaydF0l+938OkCTj4L1cIk7FfX8SGyubrxD0YK8SAMniO0R//zyf3NXJA3z52MnEpXphkhBQROVG0E/G55TYr9zYpnHCiGEEC2Lfx4ky43cIeeUG0AtcL7ruqOBqcBZjuOMBi4EXnRddzjwov0OMB0Ybv9OA/4MRhkCXAFMASYDV3gKEdE8vJXCtrDc6FFWGPucSxPHiuJ8Jg/pGvu+y5Y9Y59nLVyb9B7/MaF7jOoFwJtfJT99oylc9cTs2OfyLGqUi6x1SthtKf/7agWrNhqLlPxox1BueE5lwRzH2a9zQ38pg7qGc7Yqvp8U5EWorXdZsaEqc2AfQf81nvLUs9wY2kPlTgghhGhp/PMgKTdyh5xTbriu+53ruh/Yz+uBz4B+wIHAXTbYXcBB9vOBwN2u4S2gs+M4fYC9gedd113luu5q4Hlgn1ZMSofF29vdFpYbZ+82PPb54TO2a/XnN4Z7TpkMwCtfLEv6u6cc6FVeSEVJPkN7lFJamL13Wpwfj6vZK7muG/MJUpIfTrmxZG0lt732NT/429v83z+Mo8OCDrItpUenwoTv3TsVsscoo9D61cFjePq8HakokYmiSI1n5TXp6hcadZ+nHDxy0gAg7lfHs9z46V5bZktEIYQQQqTA75dOFpO5Q07nhOM4g4EJwNtAL9d1v7M/LQF62c/9gAW+2xbaa6mui2bi+a1rC8uNgrwIQ7qXMm/FRob36tTqz28MOw7vQVF+hCVrKxOu//eL5WyqrmN9ZQ17jOrJ+XYy0r2skNU+Z4HNZVSf8tjnbO7B9/yKVFanV26ccMc7zFm6PuFap6K8mCl+El+l7YagM9gRPctiedettCDh3QuRjKYqhz3lRudSozzbWFXHIzMX8rZ1LupXagohhBCi5cmL5py9wPeWnFVuOI5TBjwE/Mh13XV+7Zjruq7jOFlb/nUc5zTMlhYGDmz9o0XbG215WgrAY2dvT2VN+9jasGWvTgkKi5c+X8rJf38v9n3q0G6xiXBJQZQlaytZuq6SXuVFzX62Z1nRv0sx3ezpLU3B8Z0MAlAU0nJj/sqNDa6VF+XHJmftWLfRYGtNUX6UiGPyOZtbgETHxe+IrDF4Pjc6F5s6vbG6lh8/8FHs9yIpN4QQQgjxPSUn1UyO4+RjFBv3uq77sL281G43wf73bP0XAQN8t/e311Jdb4Drun91XXeS67qTevTokb2EdFA8R5j+owdbk05F+Q22BeQq5cX5rNscV25cEjg9xT8RLs6P8vmS9Uy55kXWbm6eBUdtXT3XPTuHovwIr/1812YfmevP6fyoQ37UYWN1ckepHsmOuexcks+P9hwBtJ1yLBsEt9b8YMpALttvNGfsMowpQ7u1kVSiPVHoW+VZ2wiLLc/nRme77enblZsSfi8paL/1SgghhBCiOeSccsMxJhq3A5+5rnuD76fHAO/EkxOA//iuH29PTZkKrLXbV54F9nIcp4t1JLqXvSaaiec8sba+fVhPtCXlxfmsq4xPXPyOKL3fPfwrruN+8Rwvfra0yc/975fLAaisqU/YE9gUvLvd2HeH/l1KmL+ioWVGOsb0Kyc/GuG4qYM4feehsVN32iM1dfWU+5xHjepTzoCuJVywz8iccnQrcpdC37a+xWs3h77PsxrqYpUbd/5vfsLv/bs0dG4rhBBCiOzz9Hk78sBpU9taDOEjF7elbA8cB3zsOM6H9trFwLXAg47jnAJ8Axxhf3sK2BeYC2wCTgJwXXeV4zhXAe/acL90Xbdtzg7tYPziwDGM6N2J7Yd1b2tRcp7yokTLjbxIoj6xvDheBYNHxj48cxG7j+pFUyiIZnf1NqiHGN2nnE8WJz8FJhV+a5TCvCjVtfW4rtts5UtzWbGhirp6t1FbgWrr6ynMj0JleusVIVLhV4Kta4SlVmxbSonZlvLZd+sSfu9W1j6s2oQQQoj2jnys5R45p9xwXfd1Um/H3z1JeBc4K0VcdwB3ZE86AebY0zN32aKtxWgXVBTns2JDNbV19eRFI2zRs4x5PosH/7aU4F55txmWDdV14Y5pbQyePI5jTgvxjncNy3qfIsBzRltVW9/mPgK80yrmXzsj9D01dS75stAQzcBfvc+89wPev2zPUPcFt6V4jOhVxlUHjsmafEIIIYQQ7Y2c25YiREdii55lAHyy2KyulhflJzj37OnzHXLAuL4J9watPBrD5mozAbrt+ElNjsMjmWVFp6I8NlTVplXAbGlPszl2qnHS61duRGyca7J4OkxrUlNXT35ehCv2H81VB2lCKRqP3yHvykYoCmOnpRQnOgl+9kc7yd+LEEIIIb7XSLkhRAviKTdWbqgCoLKmLmHFtbvPhLwisBK7KYPDznR4E6cRWTou18VNcCpaVpiH68KmJMfBuq7L4AufZM7S9Rw8oV9sNfkn1pEoQL51pvjO/LbdKVZV2zQLl9o6l7yIw0nbD+G4qYOyLJX4PhA8cScs3raUwrwIx0yJn+7V1tu7hBBCCCHaGik3hGhBPKd/qzfVsHD1Jp78+DuKfacZ+E8x8W9R6VNRxDeBUxAag+e/o6yo+TvPkk2ZOllZ1yfxOfHlsg0JcjiOw/xrZ3DWrvGtTIdM6AfA8vVVzZavOSxZWxn7vKEqvDKpuq4+pqARoikcMqE/J0wbREVxPjsOD++/yFOK5EUduli/Gz/cYUiLyCiEEEII0Z7Q6FyIFsRTZGyuqWP/m18H4JNF67jusK35/VHjE8J2soqIbqUFHDqxP3OXb6C2Cau7D7z7LVc89mlCnNnA24HiOHGlyYaqhttKVvgUFis2JFdeeKfENPfI26bw9fINDL7wSX7y4Id851NuzFqwJnQcm6vrdOSmaBbFBVHjnLlXWcwaIwyez438aCRmBdaeTx4SQgghhMgWUm4I0YKUFBglQGV1Hat9/iUOnzSAA8f3SwjrrcIeP20wQ7qX4rrw3jerMz5j1sI1rLfHzbquy59e+Sr2W7asC4Jzp06FJl0zv11DZU3i1o4f3PZ27HMqvyHRiENZYV5M7tbk/H99BMDDHyziqL++Fbv+w7vfC70VaENVLaWFOeePWbRD8qORRm1RqaoxYQuikZgz3qpaHcsthBBCCCHlhhAtSFGeqWJPffJd7NpB4/smDVtcEOWLq6dz7u5bMHlIVwDm25NV/vzKVzw567sG91TX1nPAH9/gtLvf5/UvV7Dlpc80aztLMuJb+e1pKTgxi5Cf/XsWf3n166T3dS7J58oDtkoZb6eiPDa0wVGqM79NbqGxqbqO65/7gi+Xrs8Yx8aqWkoLpNwQzaexyo0/vPQlYLa0FVvlRvAYaSGEEEKI7yManQvRguRZywn/hPqmoyakDF9glSGeo9FVm8wxsr955nMA9h27b4LjwM3WoeebX6+kuq4+ZrIOxm9HtvAbbvi3pQC8901yp6Cv/nTXBk5S/RTnRxNOjGgN5vuO4fUY2r2Uqtp6Fq3ZzO2vz+P21+dx98mTGdWnnB6+02z8rN5U3eAoTiGaQn40QnWdy+2vz2PvrXrRv0tJ0nCvf7mCHp0KE6yoepab8lkiRZsQQgghhCw3hMhFivIjOI5RXrz25YrY9cU+HxGQeJzk+4EtLPecMjmrMvknVWW+LRnJTkyBhqe/BCnMj/LErO/4z4eLsiJfGB77aDEAfzt+EjceOQ4wFjOvX7BrQrjj73iHKde8wIJVDa1gqmrrWLGhmj4VxS0vsOjwFOQ5LFy9iauemM2pd7+fNMyshWs49va32fum/yZc32GL7lx10Bgu3ndka4gqhBBCCJHTSLkhRAszfUzv2OeHz9wu1D2O4+C6cPNLcznp7+/Grs9Zsi4hXCofEdPH9GaLntk5BtYJnJfiONDZ+gcB+DagAOjXuZhDJib6E0lGcb5pfs67/0M2V9c16rSSpvLqF8vZomcZe4zqyeBupYBREDmOw+k7D2X/cfEtQ/Uu/OC2txrEUVltrGOycRKNEPnRSOzUoXUpHOzOWZK4VcpzRuw4DsdNHRQ7vUgIIYQQ4vuMlBtCtDDXHDw29rmLTynQFD4PTHJSWU0M7VHarOcEcd3ErSmlvpNClq+v4olZi2Pfq2rrYo4O0+EPM+ryZ5h09fNZkTUdi9dsZvyAzjiOw6g+5ew5uhc3HGEmihdNH8XNRyduGVqwanMDpUtVnXnn3hYiIZqD3+lv0P/u2k01nHXfB3wR8AMzcWCX1hBNCCGEEKJdodG5EC1Ml9K4QqNXeXIfDmHo17mYz75LnOTMTHF8qeezIys4wa8OjuMwY2yfmF+Ps++byTvzVuG6LpU19RTlZVZu/O+rlQnfK2uyf+LDojWbefbTJYA5SWblxmq62fwoyo/yt+MnMX5A54R75v16Xz6+cq+YouPFz5Ym/O6dVlEo5YbIAn7lRtRJrGwvzVnKk7O+42+vzaPAF653Fv3pCCGEEEJ0FDQ6F6IVaYzjv/cu3YOzdh1Gp8I8hvYoZXTfcmYvXhv7fX1lDZc9+knSe0f1KW+2rH5c3AbHwd5yzETeuGA38qNmQnbEX97klpfnUllTR1F+05qWzSksUZrKATe/zun3GD8GG6pqqa6tp1tZeusZx3HoVJQfU4Kcd/+HCb97x25KuSGyQUE0rtCYv3ITtT6nwP6jlLuXFfDkuTvwywO3ytoRz0IIIYQQHQmNkIRoBQZ0LU5wwhmG7mWF/Gzvkbx76R48dvYOjO5TztcrNrKpupZ3569i6boqALboWRa756qDxvDEOTswdWi3rMrvx7+4HIk4/GTPLWPf73hjPrX1bqhtKR4PnTGNPUf3AmDx2s1ZkxNg5cZqAGrr6nlnnjnVpWtpOKsWv4LIP+H0/JwUhrBOESITQUXFez7HwEvXxR0IF+VH2apvBcdPG9xaogkhhBBCtCuk3BCiFXjxJ7vw/mV7NOneovwoZYV5jO5bjuvCIzMXcfitb3LBQ7MAuHTGqFjYH0weyJh+FVmR2cPTZbi4SX8/afvBsc+rrDKhMZYbo/tUcOzUQQn3Z5uq2nrO/9dHAAzpnvyozSBdSgv47aFbA7BgdVzpcv+7CwAoL5ZDUdF88gMWQIt8Ze3qJz+Lff46yTHGQgghhBAijpQbQrQCBXmRZq/0b9nLnH5yySNmK4p39GuXkgL+dMxETt1xCNGIk/L+ZuHTawSfUJQfpUenwgbXwlKYF4ltAbn/nQVNlTAt1bX1bGOdMG4zqGvo+4b3MlYxXy3bAMAni9Zy39vfAjCtBa1jxPeHoOWGp4QL4inahBBCCCFEcqTcEKKd0DWFr4iK4nz2HduHS2aMbpHnettQgj43/Dx8xnbccMS42Pfe5ZkdHl6wz0iK8iNEIg6j7RaQzTXhjoP9z4eLWLsp+bGZyVizuYaX5yxjv637hL4HYGgPq9xYvoHKmjr2u/l1AM7YZRiO00KKJPG9wu9zw0+19e1y6o5DmH/tDI7YdkBriiWEEEII0e6QXbUQ7YSyFM5Ie4VQJDQXv14j2Zx+QNcSBnQt4ScPmlXnYT4/IKk4Y5dhnLHLMMD47pg8pCvL11dlvG/Bqk0xJ5/HTBnIr3xH7aZi9+tfod6F4T07ZQzrp6I4nx6dCrn+uS+Y/d06wFianL/niEbFI0QqPMuNgV1L+HbVJsA41n3gXWMhNLJ3dp0DCyGEEEJ0VGS5IUQ7IZJky8kB4/pSXNA6ji3TGG40YGDXcH4t/AzqWsI3KzfxyaK1VNWmPjXF/9u9dovINys3snJDomLk7a/jR83WW+H7dm68IqhHWSHVdfX858PFAMy5ejp5Oq1CZAlPuZEXcbhyf2N9tb6qhiXWYfAB4/u2mWxCCCGEEO0JWW4I0Y4Y0auML5Zu4OMr9+LTxesY1Qqruk4DLxupt2Nctt9o3v9mVZOOqhzYtYRl66vY7+bX2WNUL247YVLScBuqEhUfR//1Ld78eiXdywp479I9Y9d/9dRnwVsb+AYJw7gBFTGrDSGyjedQ1HGME1uADZW1rK+soXtZgY59FUIIIYQIiZQbQrQjHjhtGqs2VdOpKL9Fj3sN4roubjqnG5ZTdhjCKTsMadIzBnaLW3u88NlSFq3ZTL/OxQ3CbahM9MvxprXQWLHBnLSyZlM1/3xnAbMWrm1w73bDujdarktnjOaUHYbwp1e+4tzdhjf6fiHS4fncyI9GKLVbz3a7/lXyIg6DujXeAkoIIYQQ4vuKloSEaEd0KS1gWI/M/ixakpbyoxncyrLrda+wvrKh09ANVekdid7/7gJ+88znAIzsHfex8dyPd6Igr/FNXmlhHlv07MQNR4xncPfSRt8vRDpi21KiDmVF8fWG2nqXcf07t5VYQgghhBDtDik3hBBpaa1DQUbZE1P6VBRx7m5bUF1Xz0G3vEFVbR0Tfvkcgy98kpnfrma9tdx47ee7MvuXeyfE8eoXy7n26c9j34f1KOOxs7fno8v3YkSvxjkTFaI1iPvciFBWmGhMOW6AlBtCCCGEEGGRckMIkRH/jpSW0nUU5UeZf+0M3rxod87d3Wz/+Gr5Rn791Oestse+Hnbrmyy3jkM7FeVRUpDHdYdtHYvjhDveAYzFxrSh3bho35Fs3b8zFSX5LSS1EM3D71A0qNw4duqgthBJCCGEEKJdIuWGECItnjIjhMuNrJEXjfC7w8cBMG/Fxtj1unqX3z4zB4DyIqOwOHzSAJ4+b8dYmJKCKI+fswP/PG0q/bvIZ4HIbQryTA2LRhK3pXjXhBBCCCFEOKTcEEJkxK/XcFppn8ph2/Rn0qAubK6po6QgSp+KxGNc/UfjjuzdiV8euBVThnTlwdOn6YQJ0W4ozIsf5ey33Hj9gl3bQhwhhBBCiHaLTksRQoTCpRVNNyy9K4qY+e0aNtfU8cMdhzJ1aFceeHcBl+03OiGc4zgcP20wx08b3OoyCtEcPOuMetel0OfwVlZHQgghhBCNQ8oNIURagpYarWko372skEVrNgPQt6KI7YZ1b9JxrkLkKn6Hoo7jMLJ3Jw7bpn8bSyWEEEII0f6QckMIkRHXbV2fGx49OhXGPvcObEsRoiMwfkBnTttpKCdsNxiAZ360U9sKJIQQQgjRTpFyQwiRlqClRmsdDQvQqzyu0BjZu7z1HixEKxGNOFy876i2FkMIIYQQot0j5YYQIiMubptYbuwzpjdPzlrMkdsOkOWGEEIIIYQQIiVSbgghGoXTil43ygrzuPOkya32PCGEEEIIIUT7ROclCiHSY3UZbWC4IYQQQgghhBChkHJDCJER/5aU1vS5IYQQQgghhBBhkHJDCJEWT5fhtoXTDSGEEEIIIYQIgZQbQgghhBBCCCGEaNdIuSGECIXsNoQQQgghhBC5ipQbQoi0OAEnG/K5IYQQQgghhMg1pNwQQmTEdV2ZbgghhBBCCCFyFik3hBCNImjJIYQQQgghhBBtjZQbQoi0eLoMV6YbQgghhBBCiBxFyg0hREb8ag3ZbQghhBBCCCFyDSk3hBBp8ZQZrgw3hBBCCCGEEDmKlBtCiIz4/YnK5YYQQgghhBAi15ByQwghhBBCCCGEEO0aKTeEEGnxTkfxtqU48rohhBBCCCGEyDGk3BBCZEQnpQghhBBCCCFyGSk3hBBpiTkUtQoO+dwQQgghhBBC5BpSbgghMqKTUoQQQgghhBC5jJQbQohQxH1uCCGEEEIIIURuIeWGECIt2oYihBBCCCGEyHWk3BBCZMS1f4BMN4QQQgghhBA5h5QbQgghhBBCCCGEaNdIuSGEyIBj/G1YpxuOTDeEEEIIIYQQOYaUG0IIIYQQQgghhGjXSLkhhEiL51DUDXwXQgghhBBCiFxByg0hRAjczEGEEEIIIYQQoo2QckMIEQrrckMeN4QQQgghhBA5h5QbQoi0SJkhhBBCCCGEyHU6vHLDcZx9HMeZ4zjOXMdxLmxreYRoj7guuN5pKXK6IYQQQgghhMgxOrRyw3GcKHALMB0YDRztOM7otpVKiPaFdBlCCCGEEEKIXCevrQVoYSYDc13X/RrAcZz7gQOB2W0qlRDtjHkrNlJdWw9om4oQQgghhBAi9+joyo1+wALf94XAlGAgx3FOA04DGDhwYOtIJkQ7oWtpIW/PWwVAcX6UovxoG0skhBBCCCGEEIl0dOVGKFzX/SvwV4BJkybpzEshfPz7/6axfH0VAJ1L8ikukHJDCCGEEEIIkVt0dOXGImCA73t/e00IEZLSwjxKCzt6UyGEEEIIIYRoz3Roh6LAu8Bwx3GGOI5TABwFPNbGMgkhhBBCCCGEECKLdOjlWNd1ax3HORt4FogCd7iu+2kbiyWEEEIIIYQQQogs0qGVGwCu6z4FPNXWcgghhBBCCCGEEKJl6OjbUoQQQgghhBBCCNHBkXJDCCGEEEIIIYQQ7RopN4QQQgghhBBCCNGukXJDCCGEEEIIIYQQ7RopN4QQQgghhBBCCNGukXJDCCGEEEIIIYQQ7RopN4QQQgghhBBCCNGukXJDCCGEEEIIIYQQ7RopN4QQQgghhBBCCNGukXJDCCGEEEIIIYQQ7RopN4QQQgghhBBCCNGukXJDCCGEEEIIIYQQ7RopN4QQQgghhBBCCNGukXJDCCGEEEIIIYQQ7RopN4QQQgghhBBCCNGukXJDCCGEEEIIIYQQ7RopN4QQQgghhBBCCNGucVzXbWsZcgrHcZYD37S1HI2kO7CiHYXJJVnChMklWcKEySVZwoTJJVnChMklWbIVJpdkCRMml2QJEyaXZAkTJpdkCRMml2QJEyaXZAkTJpdkCRMml2TJVphckiVMmFySJUyYXJIlTJhckiVMmFySJUyYXJIlTJhsPac9Mch13R5Jf3FdV3/t/A94rz2FySVZJG/bh8klWTqivB0xTbkki+Rt+zC5JIvkbfswuSTL9zVNuSSL5G37MLkki+Tt+H/aliKEEEIIIYQQQoh2jZQbQgghhBBCCCGEaNdIudEx+Gs7C5NLsoQJk0uyhAmTS7KECZNLsoQJk0uyZCtMLskSJkwuyRImTC7JEiZMLskSJkwuyRImTC7JEiZMLskSJkwuyZKtMLkkS5gwuSRLmDC5JEuYMLkkS5gwuSRLmDC5JEuYMNl6TodADkWFEEIIIYQQQgjRrpHlhhBCCCGEEEIIIdo1Um4IIYQQQgghhBCiXSPlxvccx3Ec//+w4TNdy5ZcTcr2moIAACAASURBVAnjv54pnuY8p7Fhwtyb6f22tSy5TC7lQWOf2dgw2S7j2aIly2dj487Gu2vOc7IVT1vUw2zJ0tLtVbZlyUY8udA+tMVzWqs9C0NzntNWbX024mjr9re1ZGmJeHKhHuSiLGHDtEYczYmnsfU618K09HMcx4lkS5ZcQMoN0cP7kKaz39lxnLMB3OROWkoyPcRxnAEhwnR2HCfPe04yeRzH6eU4Tvd0YYDO3nUbJhKIY4DjOMMyPKe74zgVqeJoRDwjHMcpypD0tPICXRzHiWaQpafjOJ29MMke4jjOVo7jbJlBljLvQ6pn2bjSNZLbOY5zcLqHOI6zm+M4p2cIM8xxnE4ZwmQsD1lKd6Y8Cpvu/R3HudOLJ0WYro7jFKZLExnKhOM4PRzHKcvwnDB1coLjONtmCJNRXlufylKFCSMLUBq4J1nZDFN+M4YJUT7DxJGx/IaUtzAQb6MVD2HaIcdx9nIc5xpPlhTBMuZByDqZtu1M1e4E4wgRJmOaQtbbTPKGqddh8iBMPGHCpH1/IfuLtHU2m/ISro9L+/5Clt+MzyFc3Q7TLoZ5N5kmuWHiCFPG045nHMeZ7jjOJelkIVzd7+M4Th/fc5KVmTDjvAMcx/ldOmFs+zopVTwh61vaOGyYMHnQ12uPmtEHhnlOmDoZZuzaz3GcfhmelTafQrabYfI6TFsf5t1MdRxnnzTRhBnDhRk3hUnTIMdxRmYI0+z5Q8jyEKZ9OBB4NEOY0Y7jDEklS87huq7+vqd/wDZANXCY75oTCLM3sBh4CChNEseewJPA74Afp3jOSKAeOCGNLHsD/wX+BtyYIsx0YCZwP3BrMpltmNeB3wJ/C4YB9gU+AZ4Bnk4TxzvAg8C/U8gSJp6BNt3nA13SpCmdvAcAHwB/9v8eiOMgYDbwAPBvoGuSMAcCXwBTgIIU8cwAXgWuBa7wXY/4Pm8H9E9WVnzPmQ3sGbjufy8HAJ8C+6UJMx2YBQxKU2bClIdmpztTHjUi3XsCnwHvA3ukqQdvAX8BLkwRJm2ZsOl5H+MZ+x9ARRPr5D7Ah8DYNGkKI+8+NswdwF+bKMvemLp2KXB5irIZpvyGCZO2fIaMI0z5DRPPPphBx0XAiSnCZKqTYdqhvYCvgReB4c3IgzB1Mm3bCewGHJtK1kaUmTBpClNvM8kbpl6HyYMw8YQJk/b9Ea6/SFtnsyxvmD4u7fsLmddhnhO2TmZqF9Ommwx1thHvLky6045nbJo/AQ5OU5fC1P19MHX/IeDZFO8lzDhvH+Bj4JA08sywZfhl4K0kdTJMfUsbRyPyYF9bHp4FXk4RT6Y+MMxzwtTJMGPX/W1+3w/cB0wA8pLkd8p8Ily7GSavw7T1YcdNM4FJyeQh3BguzLgp7DzlY+Bp4L0Uz2r2/CFkeQjTPuxpy+8c4JQ0afoIGJEqn3Ltr80F0F8bZj7sAswDVgMn2WvehC5iC/RbwNG2cpwYuH9v4HPgMOAo4E5ghyTP2QpYgJlknp7k9z1sPPtjFC7/An4QCDPFNqZ7AFtgJlP+jjUCjLcNxs5Avm3M/gsU2zATMROOafb7P4HOgefsamXZE6iwjc+FgTATMsVjr/eycb0A/DjJszLJO8I2KLsCfTGd52NAmS/N/YA3gCn22j2YDmtr33OGAG8C29vvwY4sAowFvsQ08DtiFFZPBsLsjmlsPyXJwMy+r0eB7ez3IgIKBcwq9D3AzvZ7GYHBtX33nwI72u/RwO9OyPKQjXRPyJBHkZDp3svm5T7ABfgGiL4wO2A68QMwg4frksg7PEOZGI3poCfb749gOv2t/PlF5jq5G7AI2NbLtySyhJF3D5tP0zET0vuAkkCYTLJMxnS8+wKjgOeAB5tQfsOESVs+Q8YRpvyGiWeSfS+HA6diBqO3BeJJWydDtkN72zJzMGagdF4T8yBMnUzbdgLb2/Q8DxxJ6olJpjITJk1h6m0meTPW65B5EKZ9CBMm7fsjXH8Rps5mS95M7Vkk0/sLmdcZn0O4OhmmXUybbsLV2TDvLky6w4xnbgb2tp87Y/rNQt/vYer+bvY5u9prTwC9A21VxnGeDXs1cKj93B0zbusJFPnq/kxgov3+GDC0kfUtTBxh8mAn+5wd7PdngJsDYTLVp71DPCdMnQyT10OA/2HrO/B7zER8hpfnmfKJcO1mmDF9xrY+ZB7sAqwAJtjvJSSOSzONsyOYcp123BQyTbtg6opXHp4HRgfCNHv+ELI8hGkf9sC0QztjlN7XJQmzO/CVT978YJsXvCcX/tpcAP21YeZDMXAGZhC9xjZwnW1F7otZ5djFhj0Yo+AYan8vx2g497e/lwK3k1rz9yNb8b/EKEOG2DhKgF8AB9pwDmaV8qeB+3cFfmk/bwl8C/wGuNMXZhzwB9/3bTEDkft9v99kP/cHlmI0sI9aOQqAs4CDfHEcDvwqIEvaeLx02P8/xUz8ngdOwazYjAopbw/Mypp/kHAf8LjvexlGQ7yt79pvMBOhcvu9K/B3+3ko8HfgV8DVvnuG+t+lvfaC9yz7fi7GNOy/wKwOeAMzbwBaaN/BSPtenrFyPEa8I8mz33fDNN6v2HuewUzMy+33P9rwPe3zfoxVwDWiPGQj3WnzKEy6rRy3EZ/sbospM7sGnns4cL79vA2m07nQS2eYMgEMtumssN/7YDr2O7GTbOJlM1WdLMSsFjwDDMC0CX/HDIRuCyMvph6XYgYkO9swY4D5wCXA73zxOKlksb/vAlzlC380sDyQB0O9vE6Wj2HyOmT5zFRevIFfpvIbRpaJwO/t5wKb949hV2kIUSd9cSVth6x8TwI7+d71bOyg33d/mDwI20anajtLgf1s/h+GmXgfjW/QS+KgNVX59dK0c4Y0hWmv0snbjxD1OkQeZGwfMHUwU5g8+/4OT/P+yoCnSNFfkKHOYupqVuQN054F2qtk7297wpXfMM9JWSdtujO2i5nSjekPLrb5lKofzRSHQ4h6S4bxjI3HwUzSjgK6YCZ+T2DGFDMwk6RdSFH3fe/leJ+8WwBLgBswY8IiTFv1SzKM8+xvtwFnY8riG8B/7N/ZmPI7EDNZGwB0A1ZiJojPkDgZTTf2ShsH4cp4nn2ffsvnbYE/+WTIVJ/C5HXGfjRTXvuudQMeBkba7/n2Hf8JM3YoJsN43Ob3f0g93gkTR5Q0bRXh25movf9djBKuDFPP78EoKIowbfjNgTwKjuEGk2bcRIjya6/t5ZN3IEbpcjumrfGP+5szf5iYrjyQ2D6k7APtu7qK+OLfaEy9PThQ9v5g5S/AlJ/f2/y9Ilm/nCt/bS6A/too402FzbOVZhimodqA0aQOwnRqvWzYPFsJ7wB2892/FWaA502aTiW5CVsUY6q4nY1nkX3OOPv7EHvd69wPwrcyYK/tYCvnlZgVu8swqzEv2rgdW+nfxUxMOgOXA+dgOuqfW3mftZX1a9tAlGI692ftcwYAfXzP3RF4MSBL2njsu/PScrNNTwnwHlAH7GV/G2+vJZP3Qkzj/jcamsc/h5082e9X2HfvH8TeR1xJMtDKNRljknsRRuP7mJdfmIHdM/gGvfb6E8AF9nN/4itd12MGZoO8PLb/L8MMlK4HzgQ62ffiN707GTjPvpsf2ms3AM/Yz3vYdF+KmTBfbd/NvcC5NsxO9rek5SFb6c6QRz8Pm27sli6s1hszSL4MU7f85X4dcC6mk7kKs1r2OPHO0BsM7Z+sTGDK76MYU8/RVt4rMQOaGzH1JGL//k3qOtkPo/i83/52ATANeAl4oBHyeukux5TJX1u5XvDlU6b2YXd7bYzvXZ9g7znSV2+fTZOPUUw7k7aMJyuf9p3dYO/NGAdmxSRl+Q0rC2YQ9jF2IGqv9cIMwo8KUSfDtkNdvbKJGcBcCxwfqNe7YrYnjk2TB16dvILUdTJT21lOXLFwDHC3/e+3nglTfjsnS5PNyyjh620meb3V5IJU9don8x/T5EHGeIgr+/LShMknXucS3h/xPv8yTLlO1V+EqbPZkreE9O1ZxjJMivLry+s8QvSlhOsDe2PaxQdI3S6mTTemX2pQZ0lU3IV5d2HqbZjxzL7ANZjFKs+C9yeYfrIT4eq+97xSm2+/xPRVDwLP+frjtOM8e30SZqx5N9ZaGDMJvh8zCe1t8/IezMr2z4i30c8Rrs1rEIdvHOLJG6aMl5GoMNvK5meBL2+8eCpIUp9C5nXaOBqR18U2f36GGWddiWnbbgHusWG2wCxuOqnyicztZpg4SolP5lO19WHyIB+jAHgJo0z4MaY+PYQZp421+b87ycdwEcwc6BH7/AbjprDl1ydnAbbf99XzF0L2KWHavDBtdNI+MFhfA2XvREzd6+5L0zjM2O5mjAXHZfY9PYZvkSrX/tpcAP21Ymabgea2XoNhr50BbI3p/BdiJiu/wQyiywL3X4oxudof6Jck/hNtBZ0K3IqZTPa1vx2EMZfraZ+zxIaZCHQKxDMd01BNxWg9f2OvT8BMHO72hR2B2R/nDYhPxnRw92IGKpOA64hPtkZjVpn/4T0X0xA+BfRIkqZJwNv2/+3EV02TxdPHi8fXeEy2DcFgzID/M+Au4trdowPy9sGY4Hmd7ZEY07IdfDIdgdkXvJ991mTMhPJw4gOesZiG0pPtVMxg7A5fPIdhGvR+vjCLgS19Yc7BTCJG0tB09nqMdU/EloljbT5/YOMd4nuHH2AGSaX2+3+sfJ5pY2dMZzPUft/dvssz7fc8TIfzD5+8u2DK1F2B/GpWum0cvwP+kiyPfHnwM1+cmdLdLfDu9sOsku1i7/UUiXtjysvtvrDHYpSQE+279vaOe6aP22MsUv6DGWzthllxuJd4RzcZuMZ7l/b/AZgBTrI6WYwpWxd6eWDv2QMzWe2TQd4XbDzeSkwBceXEVMwg5TFgYIr2YSFwjC/O8zHKzX9g9kg7GGXNfcRXuU6hYfk9Ergy0N4Fw5xr820iScontqPHls8UcZyCGSx7g7HdbXh/+T0vhCynYCYZXjw/teke7nuPv8MMBFPVyZnE6+RxKdqhTzED2i1paGZ6KmbVahfgNOIKgxMxE4F7fXlwEXBaoHzsQWKd3BmzOuiZtSa0ncTLktd2+id5x9m0noppf28mPoBMVn5vxwzGvDidQJoGBtKatt6mkHdnTF/4LjDVhvEGo1693gMzwZ6IrfuYbTv+PJiDqQOHEm97gvH4V6KD25u8MAdiBuLHAIMDYY7DDPL3xAzkf21le4zE/mIaxlx9GknqrP1+MKZs7ZcFea8grnTZH1975pPH67OT9aVLMBY7F9FwW6OX18FtBsn60n3J3Af+HNPmTcdMIAsw1hdn+8KMJ77KmyzdMzEKgV403MriKTj6Eu9HU727nTAWFf1IXW9H+q8HwkzC1P2fYCZXN9k0/RFjqn+Ir42eBRydpu7fiBnv7UdcoZqHz88Qpu+bjSnjQwKyeOO8LYHTsWbzGMXDzzH1y2s/t7fyXI4ZK/TAjGfvxowBvfr+HPGyGWzzPseMZQ5PFoevrfoS0w6nKuMHYiaup+PbcmDzfiimjO2MqXcPE2+7i4griPrYdN6VpDx4zzkAsxo/PVkcvvy8K1gWfL+9jWnHn7B/AzHt2S8xip27bdjB2PFOknim23imY/rK8zBlcCaJ7WYfTLvSLUUcL1mZbsWMyYNbhby23rOOeiBNHszAlOH9iNfdo4CzfPl4KWZbcj8b/gWsdY4NczwNx3B3kDhu+gHGenM6Icuv7/eugbz4CJierE/xvb9084clGDcCvyY+bgq20fvaNG9D6j7Qv1gSHD9MtHl6hE3TeIxiZSBmm+lZvrA7kcLvSC78tbkA+muljDaF/jPb+Lzra5AOxexbXoSZyHwHbLSV7AoSO/kZwFpMQ/cycZMnbzV6N9sgLQGWYRr2OzGDzTGYQcMSjKZyLsYU8HEaahO3xEwultp4HrfxePsjn7KNw4GY1bp5+BQxmE6jC6bhm23TOw8zuPBMrW7FNIAH2DgWkdyBUFfMJGUBxhTzJZ+8/ng8WRYQN21zbCOzwKb7Qvuuv8GYjHnx9LPyHmTjeBxjaRC1cfwQo7U9BDgJM5BfbN/J5b58/A9Gi34hRoO9BjNgOQEzKD/Txj/W5uV3Vq7/+vLyAhv/dhgly3dW/g+I79P08vsAjDJso02TZ+p4JGYgcSymw/LenT+vp2M6m59hzMs/s3nUzffuBxOfiM+w5WEeRrGzsy+vH8eYdx+EKVMrm5FubzL5pn3eyTYPvDzylAtrMXUgSrzzSJXu//jS7V/Nfda+u/sx5eEKzApCF5vG4T55FwXiOQ1TJn6FmSQ9Z+W9yv5egRkIefKuwQyg833y7ka8LPnr5BO+53QlURmy0srzdAh5H/HiCbQh8zEDhsWYwUywfbjIpuUbEleXt7D5EMWUzaU2n54H9rVhfmbj2d6X7lkYU1q/qadXxj15Fwber1c+78S0QTdjBifdksSxr41jKaaeeG3rsMC7Wwu8hpkAJJPFH89MXzwXY8rVVjbdS2xevU/DOum1Q5vs+xtJ8nZors0jfx3I873r5+27+zNmAHanffcVmMlQni9Nj9lneGnqTrxOzrDPWUpi/ffazoutvPdgynMFpsz6FRyXAJU2Te/45N2TxPK7EFPf/mnlDTqXewHTXp0cuJ6q3vrrgSfv+ZjVq4ftu3wVu3XTF9/T9r383Ybz4piM2aqzxOb7fEzdvQXTrwTjeRZwSRyABwejT2N8Zl1h3+Fpgd+9/s1rx7196QcT7y+8MrgSXx0IxLMnph58jTFLzoa893ryYiaT72P6sVOszPPxmWkTL8Or7Xt83OaTtzXWX35fsLIEt7f6+9IT7XtZgamXyfrAPe0z5mKUAS8RV9J5Pgq8OjeHgFm5Lw82YOrj4wTGVTbMP6y8q4n3o8ne3TqMQuElktdbL92XBfPQ/n4UsApTtpcBt9jrUzCT5OsxJufLbHn4N8nr/n6YcvwWRql7OXaBKVBmltq8utnK7N9SMBJT3rzyuZ3vt+EYBcJ9GAXMt8S3wsSehZnAXmfj+Dumje5OwzbvIkwdn2vfdTCOIzFlb4mVOVWdfAbTLl6BWQm/A9+iGKbtesa+P69/ewlr8RwoLw9i+u0EHxE2zJPAeoxFzQ3BOAJ1ey4+fwu+37taWb7BlOc7rbwlxMeWjk+ezzFjBs+602vPT7Nl5jVM+fPas2OIt5sn0nD864/DG9N7+fi8Lx5/+b0AqLLPuSdDHtyEsfq6HGshY9O1J6aNfgzT97xKfGGlG/G+qx7Tn/jHcOXEx017YtqG2fZZmcrvtBR1bgbxvsk/7m/M/GE1pj28H1OuzkzxnBU2vNdnJ+sDU7YPNswjmP72VpsHd9q0Rkj0xXMWRoEXG1vl0l+bC6C/VshkM6j6nHinfCPxbRglmI5nuq3A022l2xXT6HurexNsJb8b0wFeALwWeM44jNnUXMxkZUvMyv+TGGXEOZjB1CcYC5JizGDytUClGWwr4DeYAb0/noGYCf5q+7s3UfUPqPLs8z/BdNQLPXmJD0hOxqxgfGUbi0+Bi5K8u+2tLF9jBuvHJYnnM/uMRUFZbJgzA+kusvG84YunP0Zp8yBQS0PnjIfad7/ayro1ZnX4JeKrb7tiOvEFmIHieEwHdCNm0leM0bzPwjSCX9r3+3Pgf75nnYaZfK636R6D2ZN5HKa8FGImbh/45L0kIO8hmMHSKhtubJI074yxEtqEabhfwO5pDMQ1webRHJsHP8dX9jATjpWYMv6VTVNT0n0lplN91isPfnltmGFW1nWYgVRwopQq3f4yE8F0XA9iOkfP9PcyTH3rjuk41ll5v8bUn+Mwq6tePGdjBmIvYzrpH2JWGP0rBlv45J2VRN4rgP+jYZ18PZBux76XeVaWsPIG6/bVmBWADzGT+WD7cIp9b1fZNJ3su9dbvRmPqW9LMZ3uVZj63dP+fgSmLK3CDCiSpfs0+67WYMrMGBqWz6Ptc2bZcEHHgF49WUe8ntyINWsOlJlvMG1DsjKTMR7MKtVsG2YRpvwG66TXhtyFGSgF25Az7TuejekTimhYl7x3/BhmMlWEaX/Ps/k0KZCmtSnSdL59Zysx/cFWwfJgw6zDtFXVJPph8erIBEx7ttGWkaC8V2D6rCsxdb7Yynu2lXebgLxvEShXjai3J9t3/z5G+TQFM7D/lLhvqjE2D+/H1OtgHGdiBqHn2bQUYQbUwXj6YxR3b9hn/izwbiI2nR9hJrudbJy/xaxkD8RYtNyFGaDWEVhlw9Th620evIupV8nqbBFGEbGYuF+kbMl7vZW3ALMS+HdMPVmAqd/BvvQazATJc/x3caA8RKwss2w6FiaJ41CMAmwd8b40WR/4qM3rJTZfy+37+ZS4YqG/TVOycYiX7pswCqQ/YNo8b1w1whfH+5h+MFUcEzDt+AP23TWotza//4dpuz8gMJ7BKAxmYtqG2ZhxVKy/sGk81L67NzHjuWR1fzimH/Da390xk1V/v1OCmWB9h6n7ycrMOMzYajGmrfkFiebwfTFt+QrMhGucfdYLPplPxigSPsa0IdcnafNOxSi0vDYvGMeBmHbzQ0y5G5tC3oGYevKgzYORGOXP4EC6q6zMI4PxEPdR8aCV97pgXtvPv7f52CmFLIPs7+nGrlvb9zsPM24aiZmM+uX16soakpe9CZjxUr19P9cDbwTazb/a9/Z1sjjs/72sLHNI3hd4yoXbMBPrVO3McMw4z6sHCXlpw/wI0/5+YvP8eBuHt6W+t313a4PvjvgCawTT5q1JI0uy8hu00N0W0wZ549KmzB+uwtT9bX33JGujH8X0caNJ3gdmah+8vLoBW59tPOfaePz+Ok7EtCUJzlJz6a/NBdBfK2SyqeBH+L53xndMFHGzqDux+/Lt960xHfFFmIbxaFvgB9nfnyBxZXWsbQwe8F3rjhlQ/wXTWVXYxsav1X2CRAuR/pjGMhjPucS3CuyMmbgOsZV5OYmNagVmonQKcUc+T3if7fetMKv7AzGN5uwkFb4PpqP3yxeMZwzGxHxgMll88qRMt71+oG249ksRRwlm0DXAd+1RYHffdwczEPA7AJtu89UzMd0Hsy9xYCBN/oHFMIyJbF+bH94qzr8wE60etjxcYt/xhzScMPTCDCx6pnl3eZhOYxhmcvIEAQUHpgObgzV59sXjt/LYAbMK/bumptvm0dk2vX19v/vzvhwzSB1l5WpMuoOrdXcDf/Z93xqzCnGR/f4DzCBneLL3Z9/dSfZ53sT+URJXF/Ixna43CE2Q1/4epk72wdSPu5ogrz+eP2IGJ6NTtA9RjAWOk+H9/glT1/oQtxK52+ZNGWYAc6KNM1U8wzBtSv8U7zeKqZNFmJWeZHHsjTHf9ExjE9pWe200ZgCzVRpZksXzEImWPhMxK6+DSF4nu2NW5C+x8iZrQ4bafPJbWiS04/ba74B7A+3v2Tafutk8uIf09WAvzGR0aIr3G8G0Z+NtHKnk/TWJ5t9PEJ+YeJYxv8asIDtJ5O1h8/IoW14aW2/97dUV+LZT2WvHYhR/QzF16WQSV3MT4rDXTscoHpwU8XjbirqTuk/Jw/Tt3TED1y8xliI3WRnHErc+2Ifk/Zsnb5eAvP46OwgzmH40cG+25P2DlXcQRslxsM2zZP36UEy/4195Do5DIjaOvmlkGYlRBgfz2t8HetsjgvvqvXQPseXpEfucVM+6E7OA5PUz/nFVIaY+3YkZR6SKYyimPesekDfB2S5my1Hf/2/vvMPsLKo//pkkkJBAElJIQoDQeydApCaBUAIiNSC9CEpTelWQIhBQQAVEJHSkhA5SFBFUpAgC0hK6gCJFmpUfZX5/fM/kzr773ve+e/fu3rvJnOe5z+7e97vn/c7MmXbmzAw54xnL/33QxDo4Vm6hfUTAGbTdxpmt+yNNxyoRJtvvjDR+1WxmCRQN8jgVZ9wvkJNyRIbzHrSNzJ3F2cp6ZyuLDavkXR80qexHpX1ok27jcmxBWS9OpQ2J+4trsK1/0Xf3ADcX2Mxu2GH8eXwNfxDRgZcZHYuiunKr2Uu1set8aCK7UjW+ln8HWhlUq2/7m55gM9l6Mi8FddYwy6AxXHYcnR0TnVtgM4tTGfOMjp5nbe8Qs6vlquTdABTxulxB3jk0lqlWjkX2G7f9C6F2frlMukvPH1AbvZulPW7zsm30E8D0KvV2OJX2YVS1dNv/TSU6nJ329X9xNOZoWceG9z45N+aED5oUxxPBQVYRwj7/EMa3KBos7xphN0Ge5qFUnCC9rKI9RmVyPsZ+LoImmfEpwishT2poHEMIdfCS3k8lqiTs2R2do2dFq1RLR9+Fzmq50ChQuSp0ZNF7aD+gDxX+OPt7Y8ubAWX05HA5yv5e2xqU3HQb3xVQJ9EuPfb3ONp2qkHHTVTCctdCYaNro3DyjSP8nqiD6m3lV1SWi4Y02987RmkJB3KGCUrY/z4BTRj2sb+XRzZTVNYr0raTnA8NVH6BnfqN7KkXlf2DubaHBol1p9vKYAyVkMBqfGeVUSfSvQKyq0VpX982RaGqsw6Lq2IzvYKeAnuYVQdy+H4t4ju4BN+5Uf2oi28m3b8jv31oM9Cpkr8rWFmHSe1kYH/7fWW0Wji+hJ7lkaO2VP4W6BhNftsanE3Dg213Vg9tHR1l6mReO7QgNdpxZOODyW9/r42wc9dI08CC/A1t3vxUb/NCu5nHd9mI7zxl+JawhzL1dgG0Uh87UYcgp104RylPxzqRjiGoPhXqse/K9gcbYGfUoDp2LpVDZ4OOvP5tqRJpnstsoiv5/ijwraLnqEjPkrXstwaXtVE/WaseDChTTsj+it41jurjqtBuzt0Avtkz0maVN5VruYeh9rPa+GEhOlD3C/QMRs6EvLw7P8q7gdGzMEE8yf7elrYT8zbvQm3IWqjtLLKXUdV0RHxHlynrHD3nUzmEdSJy6sxTw7trkAAAIABJREFUIt3zZPjGZb1QAZd2Ogrq9jAqEQLV+C5Rot4OQ3WhM/WtH8VjqxWQzRSVwQZVyiBblmXa6D418m7RkmVQZL/bUK59rTp/oDKXWbhEG70A1evt0nHeFaR7SYrrf5jDDcjqa7VP0wmkTzcXuCrBQORxdMgTeRVqkPuhQfPFRPtu0cpEPGGcG00W70OD8CmGCY3XOPs7voHgatrfCR06yOutMdkGhXcN76Ce0Hgsh8K77kIN8KiC9/yCthOXMFlayvLmHrTaOqYG36yePC5/pG0Hm6fnTioT1TI6AuaH6LCiL2MHPVJZcZoKTIr+53ai1ZaCspx1gncVG7qWysFI8UR/Igp7uwE1jkM7knf2fDBycFyHPN730nZiWJVvI9Ndq4wyuupKN8X1bVKWb1H+VbGH+2Kb6QTfuxrEN+gpVa+r8P0dOQeWRdhLiQ4ibUQ5dUBHXtt6DZm96HXquTpPT7U6Scl2iPw6UKsdD5PS7D7xuvO3i/mWsauO1NsFkR2eHeF/SvsD5arpCA6rsnpq5k1O2n6M3Sxlf+f1b89Su3+7qxl8y+gpsIeBHeFSoGdwjXQfGteDgnctSvV2c5OO5l3JdBeOZ6g+fggRi6XqfhU9v6ESgVY27wLfRVBbdi/aTrFUTt7k9nEl866ajlp8szYe+B6NoqK2QBG+i5ZNdwHfevOuaOyax/cPtI1Ay+PzOJ2vb7N0FLQzd1J/O5O1vVEFOg4pkXfPUjnvqjP2+xpt7bfT84cqOuqZM1VL96I19Owap7uVP00nkD5dWLjRSl/Os+tQaNbD2KF09v286DTpG5CHcn/UySyUNWi0Sn5RVoc9WxM1gpegcL+XowYjq+f7VskfIfLUZ/TcgMLrq+qx705G+x1XKvOeKjpOMh0rluWbg1kG7X9+rwDTRk+t9FTRcQJa4W2jA630HIEa4lNQaOerVKJ1snqutLKaVZZV+OyI9mguXOX5j9Ae2FXKpLnAPi9H+3VXraKnje11It25ejpY1r3qTTcF9a0em8naQ7P4Rj+r6elI+1CTr303Ba3GF7UPuXqq8S2jI+f5FSg8tVZdqqXnkmp6Yn3UrpO12pBL0cSrU+14A/O36XwL6lsYFI6w765Ee5RfoLKqldXxU7RKH9fJIj3LFPANeVNkV1NQG7Bklee1+rdu4RvZxCy+JfTktXnt7KFOu2o3nqmnvO27UzLvitvNaSjMu2o73wm+heWdo6Ndf5FTl65D27GK2ui8fqfevPuO8V2hzLtyni+CtqmVHjfVyxdtgXgTneOzYoGec4KeHB2rorMs3usMl5J1O49vof3m6Pg5Ohuns/Utb2zVoXSjiJKsPWR13IEOxyybd11tv4VjSjR3mJ8OzmVy6m3ZPrCNzZTR0xM+fUgyW4lzbgNUqX7ivf/COdcb8Pb7EmhVcAzaS/4xOqvgZedcb+/95yi0aR5UkTdGHcXWwN+99945tywKkf4Y3aO9EArRejrocM6tiCrnceiwwsEo5PTVCLMy2rf2OfIiL4wmsi8553oZ36AnnIr8T+PyRoRZGa3AvYIOaFrP/p5hfMN7/mZ8V8rhOxYdDvQY8liOBbbw3j/TQb4roz2V/0WDjg+Ny/MZzJZov/yqKER7FeD1iO9i6GChTVDI+dY5fFdDDdvK2H5f7/3LVt6fW148jA632gutKmzjvX874hLKsj/yAH+GGrRXMpgvoUOeRqLJ7DYZexiKToOfhPazb+G9fyon7162vF0TTSbivFsChTwubWU8HkUDPJPD93OzzRHAuiFvMul+w2xvUbTa9LZzbi7v/aemZxw6PHANNAlYG3glYzN/RXvWV0UH2GW5DLXPDth5CsYlLusl0CGwk1CntV5clqi+vYfq2zfR1py9vPdvOufm9t7/n+nZDE3CVjOuqwKvGt9gD0+hsMwV0K0IzzaRb9gishDaC70qqqNE9fokdPbASCrtQ0f5Lma293VU97evoseherspsIPZZ8x3RTRoa8M3Y+P/RNsZJuRwCW3rsqht/S8Ko30hh4tHZ2JsFtWVrJ4BxrUPsJn3/s8Z+x3jnHsAXWv8bXQQ4F8zbchbqP3ZFN0m87RrX5eGovZoLnRg2Ys57e9ZVtb9gD3qzN9ce2hhvmt47y/N4fuFc25ts9mj0Vk1fe09cVmHuvQFWlEcjCYCoc37LNJzAtr33h/dHjKzio1vZba3s9lD4DsW9WnnOOd2RWeubA+8HLUPq6BB+caojd4u0551N99VgJucc1sEvjl96Sao3wYd7D0ReDYzDimyh8DlI7TFYQLqA/PsKhwyvSKwdqQnTvcWlncDgZ/llPeX0dhpOupfNkZh31BpN3+BJgqfoH79zQbydVF5B3tYksp5S89Gz8MBpVPQ6u3ywF9y6tJPkYP1TeMb16Wg51k0RliBSn8c2qqQdzsbZp4o7wLfddDY7HLLqwVRpPCzmTTtjLYFvGd8VwJeyrQhoIOK50JnajzdRXw3QFECq1s92N9XxovBZjZF50vdaTYzLYfvf5Ez/GOz7+dy7O4I4/MJ6mtfiPiGuvRr1Gcsi/qmZ3L43mXP+6HzhrLj2zz7zda3edD47HNLe2wPIU2vW3lOALbM5G+t8Xic7kNR1OLnKOLpBdd2DLwH6h8/oXLmzauZNvpEKtfHfwXNdWKbWsXqwWZo/LCLcQltVdzW723l+LUMl2C/d5u+5Szdz7qOzx+2sbK+wOxvUlQGQce7qE9aAW3BjfmGensylXM8dvdt515F/UF2DrcVOpTXY/WfniK+BTws6dP5Dxqs9UMhRi/Q/gq0DVGjvr9h/grclMGMR6ftvozCqS9AB9WFfaET0QnEh9nP36LOetuMjqdRB/4MClu7NoPZ0DCHo1N7dyOzJ8ze9TRq2B9H+/p/npOm19Ck6ULk/b6ISghX0HG0/bwOrZwcTsUr+yW02nt8xPeGOvhOMEw4zOiX2F3ZGT2voon3j1Gj+wAVL/BGpuNI+3kxCgXL43uc8Z2OJvOLZbg8iw7r+xMaJPbJKetn0GGOj1s+Zu0h5O/raOJ3m3Eek7GHQ+znTehwp7y8O9Iwd+TwHZ/huzlRuGSG7xGm7xeoQ4/v+J5oeg5Gg7+fowHTBRnOwcZvRJ7pgwr4XoM6xvUz+fsMWn0L+TvK59vDMcjpcCE6AGyzDN9n0Gn0L5pNXIAGIbFNvGZ8L7byPr3AHi5uAb5/QQOO7VBnvHSmHJ9G24eeQfX1jk7wPcr4nofCKPP4Bns4D6045eXvX+w9Wb7BHr5puq5HN0Lk2e/eaDJzFvntWWg7Q92+m7b2G+rtIcb3YVSn8uw35O9qtD2wM26rQv7eUyV/90KD70Nof7BbaIuOtfw9A9X9evK3yB5ale8X6LyeLN9Q375t75mK2oidM+952v5/BnLOZe1hffv/76BVx8OtnPfLSdPB6DC+E1Gdm0FlxW991KcEvn1pe+B04Bvq9VTUhjST71P27H8o6qhNxBGVfvIVKu3DlnXaQ2gfzrB059nDkZZ/U3P0hPw72fhuZ99n+Ybx0L9R/c+e1RPz3TB+Rxfwje3B0XbbQEjPpiia4AvaH5oY2ta9je+6OXxDOX7bsFOtrG+nskq8vr3ru/aew4i2mBpmdTT+OCXinL1SNnC+0TBX0bZOBr67G9/1aL+dsNF8TzI9l6A+IW+MdpPpuaJK/h6C+rdptB8rBh0nGPY0e2ce329HfBcs4BvGaLfTfoxWZL/jaTtWfAy4PfOe0I4fbdgLUWTnj6hvPB7SfbHlcRbzMmrDJ6A2L7aH9aysj4vyNzt3CO85HLVVJ6BF1Lit2sD0nGA/z0R9xvlUzhkJ+ftdKvOH6Tn5W2b+8Kq9/5do7DosR8cRlu7L0dwg7rs2ptIHFuVd2f5gfLbe96RP0wmkT4MLVBOPw9Cg4Dv23Txm8CdYo7Ay2jt3J7bn0/4+CYWrrYQ6xZ2t4p6GVsm/ZRXlObQyDBr03xq9/4CSmEPRIDIMFoagFf0ljO8uaAD0GpWtCX+g7U0P30TOgbHGfz0UzfBz5G3dFXUgT2LXGCHP6C1UDlrahcr1iGs0iO/qVfgegDrCA1Go/RA0UHkCnUA8xd7zZMQlj++R6HrFde27a6gcqDQf6uyORtEh4dCh+akcFtTP0jjLHgyTtYdjkRNhG/tuVTS4vRF56L+BGttaeXe88f1SCb7rFvDdHQ10Qwj5BWgwNBrZ5zFoxfJHWOeSw/l7yLlUZJth4h34/ggN9OY1vvujOvYXtOII+faws6V1nGFOMt0roH2h+6KJxMnAgZGe2CYOQ53ealRuAcjaQ3AurdsCfA8yLmdbeYb39crJ33EN4rt2Cb4HVeF7KLKH8zBHiuEclTpwHLLfdQrsdztUH46x/xuNVj3WRyuR+yJbvYOK7eXZ73aWH9uYnqz9frsD+btOQf5uj9qbsw2zCKpfU4zPtpbHnc3fjthDK/D9OnIqnY0cTdmbEHYxPg9FfL+D2q+FjO+O9p5J2KnzxvdgVFeXQIPVrdHKeLC5r6PB5vgoTVNQXYhvvzoYRXEtZ+95sCTf9VqA70R0S8lv0OQ6zyamIof6OFQHOmsPXyqwh/1Q3SrKv72Nb5ENb2ufg9GkLdzq1svyabtu4nsgOkC7KD2T7fd1jNu9wC8izBTL31r28BU0iZ1kmDFogvwHw2+GbraZZmV6m+mIbz7Z0t5Vqwwmo4jF/Wvwvbwb+O6Fxmjhas68PjnwrZa/x6NJarjS+FFsvB7p2ML4TizB98wCvvuhMVrgmzfmqWW/J1A8Fj8AtSNXRWmqdzz+DcOsVgVzmHE5CEXoDEET+3Fo3LgpqjcvUrm+OC9/J1O7rdoXnbkR8m51tFg7NCd/Vy/I31rzh1PtvauiNi8vf7eluO+K5w/V8q50fxDGQXFd7EmfphNInwYVZGX/6n5oALIe8u79BHmoByJPZBiQzYciHY6KdMyHOvHY63gtGoTsYX8vDOybefc9tD2YaBHg6zUwCyAP5UHWYDxolfAmNAGdF4VLrh39z0HA96K/+6LV+29E3/0UTVROsL/ntzyJV1p+hTV63cU3Kp/DgTMz7zrS9AwsyXcMdvUVGvS8jVatL0MdwwJowPQydi0h6hTvQB3gfsZ3AyoDqTx76I0mYCdG341GjeE56FCpMvbQKL4DrLz3R+HIr1kZXIP2II6xdxRxXh51WK6A73Aqp2GPQCG5d6CrJk83vmXsoa+V3Ymo43gJDeIuRd7yRUrYxCIl7KGV+C5I5SrXzVG47fYZbCvxXZjK1ai7oBWLTSJcb2S/44vs157tD5xsv/8ebd25DDk0F6Ex9ju6EflrzyYDP7Dff4cG0hegAenCrWQP3ch3BBrUOrSa9grtJ1vzUxnsDkPt1h1oRe/nVA53W8X4zYtOtz/TyvlvqK/oY2V/FhrUzrT/Px8NxgPfHYAfZjgcjAa1i/YwviNQXxNuw2pnE2YP66K616X2gBznoW+qln/zUXGW5/ENfftOaKK5MIp6u8XeM3d38UVbJCZa3lVLT3DcbgpcaN/dbzx+H+HK2MOtwPHR/5xh6boUTTznojLBHItFSmKHAEecNy5Ik6PSfrQC36Go3e+d1yeX4YvsevXo/7dE9Whw9F2j+C5CNEb2mTEPJeyXGmNx+65R4/GhyKFSLX+HoHnNUchh9TByyFyL2qdhtfI3SnOZtmoX2t5Udie2uBHlb2fnD6sgZ5jLy18aO38o2x/0WMeG9z45N3r6xxqUvtHfC1G5iuggtKfv0gwmVJRxaKA+Huhv3+2OvK/fRAOJa9Detuui/+9nP/ugzvYh5OkchM4w6E/FUzh3DmasYUahELnXsAkyGtRcT+baJ3u2omG3jRqpjZBn/GQ0Ob8RdZDXUbk2qU/m512W9kFoZXVQF/PdLFM+r9P2JPuRaOC2eg2+fQPv6H+/ReUqp6+iRi4c8LYY8ii/G/Hd2TBxWH3WHtaNni2DVrTja+zWQiFx4VTvavbQF0UB9W8A33Bl2STT/zvgu/bd+ij8bs0ynAv4zirr6P/2Ag6239exso4dNdXsIUzWVkAd2V3A6fbdIqgj+UoZmyiwh0HIQTWoBfguhZypq9N2ULIZNhkwvhNoGybdLL6LIJuZlb+RTT6NBv59UZRbfOVenv2GgxAXtf+9mcpVu4FLWO2t134noIHm6Abk7wb293A0Qb0Di8Sx78+hchp8K9hDd/BdCfV7swbE9v14NNnaHdXJrWkbLrwNFcf/aDQ4DDdKzGflfBPRSf9o0nWu/T7G7GU60SAbORBCdNQILNw4tNfG5SJ0ZkvL87WfFwA72u95NrE7mrisQeXWqu6wh95V8m8QckgMK+A7MPBFY4czDbMdCvG/J0pLV/I92Mp7A9pvKYjt4cuZ5z+O2tV/olD1WddXl7CH5aysz7PyvRWtRl9J5SakeGIYDikMfHem/ZbDOE3D4zS1Gl8q48a7kK0MR46/QQV8824wWwzdirGTvWdEA/gOQpP3UeSPb9dEdrsUGt9Ws9/5c/jOGtvaexoxHh+JIjAGFeTvKMvfRVC9eRZzLCCnTO7tWHH+Zr6v1ladi7WtOXwvR46rQfZzWJX8LTN/2AS1patVy9/M952ZP4y08onzN9sfTCNy3PTkT9MJpE8nCk8N0C3WmGyLQvgHoL1W30Se/6uQ5/oFwwzN6LgK7fO6F3lBV7JG5HxgqmHWQYPtcB9zCMcM1xbdgjrPp1DY5kFU9q31QoOxLOYQq+yDgCkRn+3RYZrPo1X87EnAF1p6/mjP10Bez9OoTDom0vbas2yjegkK83oSHfr5rS7k+wPLu9gjvxryDH8r4vsnbLWiCt/9kef/PRTK3u46TLOHtyxvpth3I7CJVoT5O1ppy7OHC9DgoFdUzpPRgCzwWwdtVwrhrXn2sJu94237vTN83zJd26EQvr6o84z5PETUccWc7fluxmtyFb659pvhu71xmYG847Xs4etU9pseTCWccKKV5QF5NmHPj0YDmN2q2EOu/TaJ7/ZoVeJd1PZk60CYDPzNfjabb2g330LXyGX3Z++MQlpfRfVtV0rYL1pF28C4nRdhXrHv6rXfkL/vo0FXo/J3OApnfRHb822YV1AIbavZQ1fx3Q5Nit5Fq3+bZnhMQFuX3kED/u9lMZm29SW0nWlVNPB9AU04+kT28FcUmr5GlI5j7PfNUft6XKR7ccuvYyO+f0eTnZbmG+FfRwP2fXJs4lR0GPS7yAGwYXfZA5X2tVcm/96y/DuiDF8UDXExqtszUV/6vuVDV/I9wXi+Z+/aJcM1zx7CtdE/ts/zaDHrX6anjD0ch/bwj0Lh/QehccPmaDV41Sp810Rt5nvoHJOptLfhbJp2a3G+vzbMTGSfO9XgexTtrwHeHk3WH0XRCJ3l+7bxPYr249tHLY9eMGyIlKpmv3lj2/3QtvD7jG9nxuP7o4WtD+39Rfk7E/Uhc9M2yjK0Zy8W5O+fgUsy32fbqs3RWPCbGb7h51S0hfQJ1H8dlpO/NecPVPrJfyBHTV7+/pIoijPbd0X5W2b+EPL3pGz+RrovJhPp1VM/TSeQPnUWnM4jeBZ55LZBg5yj0G0TR6EGfT/DfM0+t6KwpqUjHX9BjfHO9vxQ2h5INgkdBvc+cFj0fRz2dAW6YeFZtNJyLmrcNijA/BB51NeMMKPR4Gcm8ji30WPPX0AHGu1iz0+nbfjZRqhT/CdwTvR97N3+KepkuprvRqjxex8LT4z+dxXL++moA/pXjMnwnWZpeg4NxkM5LpuxhzeMy95oO8fRWHRFBvOCYbL2MMm4fICtJNn3A1Bn8iRyhv2fpSsOl4zt4WrUiHYF3yORB3ocikg6BdnnB7TdUxk4vwR8ijqZv5MJxaxhv+NzynoGmsjWsoeAOR11RkuhAyTPs7L8uIpNhAFJmFgvmWMP1ey3GXzfRAP8acieL6V9XRqNOvAPrBybyfevlq+XIdu6l6gORHb3ofE9lHL2eysa5KyI9krPMG5/s9/3pz77fdZs4gdocjitAfm7g+XdGSiyYnlUN6aiCd1zaGDWKvbQlXzfsPydhvrM7yEH+o4Rbqil6QPU1x5qmK9mMK8Y380MMw1Neoehyen37V3Po4WEQ1H0xZfRxPcpy68PjfNtGb6LG+Zd1G+8bOltZb5/Msw/qEQQ5PXrf7Y0fYT6mG61ByoTw172rvcs/9qND6rwPQNFB+6EJld7G2aTLuY7DE10rkXjjDNL2sNFyIG6vuXpnqZnNRS1VssetjbMxUTRQ8hR+wGKGL4h+j5MuJzxecf4Bj2zONvzbJpane87aPL9jJVrGb4X0tahvTSqS/uiRcZ6+Y628n6f6vb7D7SiPwMtotSy37wx8iQqtyKNp/7x+Pn2/NkO5O/F2Na2CPMqbduzbP5OtnybCVxVpa26wfj+l6g9y/A9G43R6p4/UGlDwgGhef36vugGw99jUVyZvqvs/KFa/n41o3M77PyO+Pue+ulFkp4qg4B/eO8f9t7fjAbJS6DG5DHkFXwcNWLTvPcXG2ZpYEvn3GDT8Re0CvSwPV8WmOKcG+Scc+hwmY+QZ3xp59wBoLtlnXNzGZfF0T7Hbbyuz7sA+A+wiXNuBcMskcGcjzrsre2aKZCDZQQK4Z4e6dnUObccCvf6BzoX5CF7/m9g+0jHJobZGRjqnDvD+H4R8R2KVlC7mu9g1GDdCCwQuBifp1BH9Q7aj7kj0L8K3+FotXcr7/0Po3KcbOXUH63wDkF7gy9B3u/FgR0N0xs5hIZami6hvT0sjLy6DwNjnXMHGpd/e+/vphJK/gfkQFu4ij0sgSZnXcF3SbQd4GPjEVZmjgVG53C+GNn3DHSOx5Y5fKvZ7yTn3LKG2x3tm9zBe399CXsImH+jwUF/5J1fB3Vmu8TlHdnEt9GK/U0oPPlrOfZQzX6bwXeK6X0ZDR5Op1IHwnvWRFENE6wcm8l3H9Q+hNWfY6jUgUEGnWh8N/Den0M5+z0FbSeZhCYlX7bnnxrfn1Cf/R5sOj5Dtju1Afk73fLuX1Z+b6IVt/eRo2UH7/0VLWQPXcl3CzSheNPK7DxU78Y75yYadFk06f2y9bXXGmaDCLMnss09rdyuRe36bvb9ZDTh+hBtN7rVML+z9y6K7Hsx5EReH/jEOffziO8ryHbeQm30ZHTYZivz3Qyt7n6EJmlX0LafDFdTglY210d9Qbfag7Wvvbz3XyDnQ290kGPcvhbx/Zfl2T9RPX3A3v3rruRr5fwp6hMm2P+UsYffGc8RaMx4p3F/1Xt/Twl7uMUwDwBfjt61HrLP9QAf7MHresneXrOo0Yb9SqQn5twbtXdDojS1Kt+Nje8XqP3fGk12y/B9ENgw4vIh6pse9t4/3Qm+Y5CTY+Mq49t+xnkt43gKte03O7YF9VsfAc957++n/vH4EDSe2bUD+fuAcQn5siNqH+L2LJu/n2I3LwF9q7RVj6GoizWJ2rMMX48d7t6J+UM/VMf3tTTF/XrI3/ctDSeisUG984dq+TurP3DO7Yei0Xa1vOj50lVek/Tp2g9qvH6GBjvhwKq1UCM6uQAzFnlst6rxPNwGMBIN7OdBne5PiK7ONMzaqMIcR+U8g2UMu6f9Pa4As7v9vTha9S/C/KTG8yFUVrvHov1xUzN8F+xGvv2rcaGy+lIVE/GdXqWctrS/w77GorJcuwCzFQrjnKtGWZfBrN2FfNdENh7CagcgJ1Iunw7wrVbWIdRvxRJlXcYe5qayPzXXJkraQyvxrVUn50OREq3Ct1abNz86i6Cj9rumYcLtQnnta4fst2Sb19n83bsD72oFe2g03x8iJ+iAqH4dg0UqokHohTUwI1GEQh7myOh91d51ZNRehf36Q9AZE9dE/z+wp/EtWU4Xo4WAZttDP9RfTOsg32Xt+a5R3a/GpdF8f4xWiuuxh0MivoVlXcMewrsGUjkfK88ehtjP82voOb9KmlqN7+H29yVo1b8evod1Ad+fUTy+vRE5jeqx3907YL9lx+NX1pm/IV8WoHp7FufvwIK8G1gC0w85Equ1RR2ZP1yFoouK8rdR84dq+Rv3B7NFxMasdDebQPrUWXBqfL6BQqQ2onKgzY6o4epTgJlimLlqPO+Xeee89uwn9nNPKvvHNjU9e2MH8KFVzHup3AldhJmvBKZ/GR0R3z5oMnE52vKwZ1SZu4VvDS7fpO1hhrl8S5Rj75JlXRNTpqxrYbqBb7DxvmX4tID9bhLrKWsTVZ53h/12lO/mdb6nWXwPoKDNo8XstxP50pH8HdDD7KERfPcyvsuZjpMjvauh1cFwaN/SBZjhJTBDymIynIchR/GFxvc0NNHvCXz3NL79apTlfC1iD3uivfG9Osm3fzfx3cv4LtNJe5i/QfaQdy5R1h5ORw6bQj09jO/wFuRbWJ9qPC9jv2UwZcbjh5dId638LdOe5R2KmttW1cBMpXLTUKfGM2Xyt0RfW2v+UCZ/h2XzZnb4pG0pPVCcc87LOi9DoWyTUdgXqGH7PxR5Xw3T1zBf1Hj+afxe7/2/0MrktWgP+g9RuD9oq8gTKKTzWAuJmh+FWn1WAvNpCcwXJXUEvp+hkNnjLG3noIajO/kWcbnfvi/kW6IcKVPWeRjbehTbQ+BSVNaFmK7ka5hg47PyrgznOux3CLXtIWDK2EOWbyjv48mxiSba7+ACvs9l+NyPDvuKdQwo8Z4YU41vWT1FfNvVObQKVLXNa0H77Ww7VMYePi/AdDR/s/bQqnzPNr4voG1g8wAXOueGocHgZ1h5o2021TCflMB81gFMzPk95OCaYHyvRWcItCxf7/0OVLYTXOu9/x+1bbgV7OEc4D6vrSlZPXOX4Bv6gtCPFmGK+JbtL85Ghzm+lFNGy1DbHgLm8xKYInsImDbjL+P8HnLmBnu4xnv/f1X0LB3pyT4fHj2vxjfGVOM7PPOePL571eB7cU59yr5nTAm+MaYa3xiTyzdT3wKpgPJkAAAgAElEQVTfWnZVZtzaWUyZ8fivqqS7Vv52tD0LZVCUd6GtKsJc7b3/vET+lsmbUnOHgrwrM38ok7+hjZi9pNnelfSp/SG6WjX6LoQ5D0P78i9B+/yewq4VymAOQKGWvw2YkjrCQUUDqIRBHY72/S1vf4eV5pFo1e58e8/jtL+eqG5MSR2B4xC0YtQP7Wt7o4DvhZbuIi61MFuhFdeYbxkuWcxAdGp6jJkrU06XoUOG4nLqKOYgK+/YHnrFZW1cjs6UdRazOGpMY0yWS9jjV8S3XkzMZwnjPMs+c/iuhU5iL7Lf6eg8hCJ7qBcTl/d6lra9Q3nT3h4mor2QRfZ7C+oki7jUi4n5bILsJuabp+Ml0zG24D1dhYn5LoUGC7PqHO1t6udWRkV215WY2D77I8dHbL9zZ9Kc1w51J6Z3lL8LGu/YHrI6LkbtUNF7uhLTJ+Ibwn/3ifiG9CyErv39AXIwPZKT5u7ABHsYZbj+aE/2K+ia0D4ZHeeh6xpjHd2JifnOZ2WxU+CbU293RoctFvXrl6J2vqitqheTbV9XQOfavFGF79eRXRXxDfX6cSq3yTQKE/Pd2LBxfcva1LXIuVhkd12JydrDxiia4NUof2M9+6J2fJZd5bxnuuXJowVc6sVk+U5Ak8BXgBVz9Oxj/393Ad/r7f8ficqxUZgs32WQPbxGvv2GseBDVLffq9EZPk9RvS7Vi8nWtyEomjEez8wdpXs95NSf1S5mnq+Mxv3ZdqgMpk8m74Ygx3FeWxUwQ5FzLsZ0tG+agg6Bj9uQDvddxiWbd3n9294ZTM1+Z3b8NJ1A+tQoIF3XeRPy0G+J7bezZ5OQd25XwzyMBg9ZzO3oNor70Kn9a3ZQx0Q00N3cKs6BRJP3CDMNTfL3too0uE7MHVSuOVqIKKSspI7xaI/ZrmjA8Cywlz3rndGzi2EepLKfvqOYX6Iw8/vQvvnB0fMyXGLMbeje7XAPdugcNrZymmKYP6CDCuvB3IL2/f8KddbDo+cTrKyDjueB/TM6AmYDNAm7BzvZPkpT4BIwFwFLdRFmAtqP+Xc0kDqStoOOwHdry9vTqHQg4V7zjaysdzDMJCp7nRuNGY8iMJ5Hp17vjELNXcYevooOnzuD9gOtje09Oxpml+g9jcZMML4foFWSg4xvsIdQT3agckhe1hnWnZjxaFXkj6huXmh8sza1E6ojDwIHV7G77sBMQIPl6agd+TF2blKmjHZHbcid6NaDMU3CTEARD+HzM9rexBF07Gn5/xAKoV27SZiJyH6/Z3/vTHTtnqVnOrL9Y9GhybOc+U3AbIhs5dcobHgqas9cRsdeqK/8vf0+X5MwG6Kxw96oD3wUObx7U6mTG1n5/A74BXLgDck8n2Zlc5+l/cAcHY3ATEDt6wboQL4/YFfPUqmTG6G6+C5wDbpmdHDm+TQ0GXsH9anZfqlRmPHIfl9H50Nl+4uJVGzqVfs7hJ43AxMcBLujPuV4YJlMG70Rmuy9hfrINvXAnk9HY6I30W09A3J0NAIzMeL7Flo53yxnzPNbdPvKP9H5BgMyz8N73jJM1oHdKEyob19DB2D+AR2y2Z+2/c4v0Ur+zeimjlG07/d3NR13oUWUrI5GYEJ92wPNRR5Fbd/YqM3bCPWN91ra9gPWyzyfjsarYT7ztRwdtTDBNvc1zINovJiH+Ybl4Z/RQe/19E33UuknjwQ2qqPvuhK1rb9EkbMnVsHsaPka2oe8fifcFjgIqwez66fpBNKnoHB0EvkLaB/VrsgbeSK6Jmq4NRIH1sA8ia4j7IyOR9FerQ/QYOvwDM9RDcTMQCc3N+I9T6PTzA9EHtFlMphTGoCZiW6cKdJRhsv30FVU41DD+xCVTngRw5zeAMwLyAvd2fdsjwZ79xj+DCp7HwNmh27E7F7j+RmWpjarOvb7COTF7i7MTCuDIh27IOdTfPBkX7SyP9Awu3UTJvBdHnWeZ1BZeQj2e5qluRUwz6CJwErIIfxLKmc9BB1HGq4VME+jNmRl5Ej4OTpobFk0CHkETQafbhHMn9CVuqujaJ7jkANpIzSofQS1GzNbBPMcOtV/BvD9qK71RhPsR9Dg9Z0WwTyP7HcsavvuxAazaPXuEeC7yKZaBXMqivpaE23Buo/KWQPDrHxeLXj+CGq7i3Q0ErM92qN+LVopvh5YKNMGT6nxvIyORmBmoJX5cfZdXyoT3fmo3HT3VAthdkLOoe3s+0H2GY7s/BHDVXseFtmKdDQSE8Y8S6BInhuonJ0wlEofWO35I1T6pe7AHESlT1kdOTCGGmaglc/rBc8fAb5VQ0cjMQejPmV55FQ8CzkN10fnUz2J+sBqzx+2NBfpaCTma3S+32lUP1mGS5l+Z9tGzEt7yid4WpO0oDjnVkF3Q0+0v8ei1edP0MT+HdSxFGHmR43PRt57X6eOd5B3cBBaYTweeMh7/wPDz48mn5vbz7s6gTkI7QO7B1XienQsgLyuDwPXW7q/B7znvT/H6crHkYZ5yOtaSerALIA6xXuA6bXeU4AZbph7TddoFOL3qP39H+TM2QedwXG3c26hOjCfIO/5DWXeU4B5F+3hG4JCf29HHfGHyEM9EkWovNRNmOfQdWNFOr6NDnAaiQZgJ1q+34wmE/9GDqZNvfcjnHMDuxBzKupIi7i8hbYN7YkGCFdS2Xv6KKqXH3YD5lnLt0vQJGFrNOjf23v/X6crhBdBB9td7b3/tXNumyZjtkeDgB0tf39p+foocvQ+hSbuu3rvp1gZNRMzHK1e7oRkX+Rwuh2tIH2BVmJ28d7vCLOubmsWZgSa8G5ifBczG1kJtS0voMNUL/HeTzIdizcRsyza43wTmjg+6b0/3LjjnBuFVkMHoklQ0zBOV2BPRZOFK9C1g0ejQ9+OMMxoZCN/8bpmEOfcMU3EjDLMEyi6YwSKzngctcFvoOtjf2vf5z1/Ea3W/sl7f4dzbmQXY95BE4OL0a1HK6MrNK9FIeBPosiwas+fQBOXIh2NwkxG469lkHPmNGQ/v0Xtd4iO+Ir3fmk7V6KpGO/9h865s1EI/Eeo7XgHje1uQxEqpxc9995/UktHgzB3IYfN7SjSZ1U0Zj7Fe/+ycy7cSHNd3nMAOxvjMOB27/29zrnVuhAzEo1xvoPGwgNQ9MZzyAHzOBqnfavg+f2oXfyO934z59y8XYxZxvhOtjHwV9BW+RfQYuoSaOxf7fkHIc3e+80tHzqFqfGuviiqYhPD5PU7vYBpBf3Ov9BYsDM6ZmFq6FkfHRRbtY/z3r/lKtddz/aSDhRtYfG6y/hD59zB9vdjwK3Awmh/1QwUMlWEuRVNXg7qhI4Z6DyJC9Cg6zxgnHPuKMN/APzNe38Bahw6gznT3vN0J3S8Zt/fRcXGPwaWNMxH3vuZhrnbBpT1YN5BHfvdZd5TgHkJOMbrfu550aD3YSuXXdEVTc8HjHNuvjoxY5AT5Z4y7ynAvCjq/j3L40etPILX/p/e+xcsfd2BmYkGokU69kQh1c+jQczraNvCtiiC4g3k+Pm9c25GF2O2L8Hlc/tchEJOp6MIhdfRakM4ALarMWugwdZvvORm5JQ5y8rlQ1RXD/Le/9q+azbmDjQJuM7y+DbU6S8MLOe9f83ye5hz7vpmY9CA+VN07aW39IQtS0O87p1/GvjUObc7kmZiHkT17SyziVeQw+ZtYGHv/Ztowva+c+77Vi7NxFwA3Oi9/wdy3K7inDuXivzXe38tcj43FeN1WN2FqO0KK09/Qw77IP9AfeRNzqTJmA+89yd7729HB9bdjBwKtyBH2XrIQXNnwfO3gVO9HBL9uwGDrxzg+4n3/iTkSJiOzsp5HU0Qqz1/o4SORmG+gZwGj6Jx2ROo/VgEOT4+svx9wDn3x1bAOOfCWOdi5Di4FEWETUfO55G1nputdQdmfuAo7304vP1J5BA42crmf6jPyX1umL8EHfZVV2L+jvqUeVDE5cvoWtGzUd0cj2yl6PmnaBvJPM65e7sB8ywa9x5vyVgNTcr/ByyKtqtVfe69fxuN9z92zn27EZiid1n9/5jKuCKv33nT3lWt33m0ATpmYWrouQ458qr2O/a/c4RjA0jbUlrtgxqDKVTud98ahQTvFGGmosZtzzyM6fgJ8prOVY+ODGaPDMd+VPZwnYEasp/Qdo9XRzD3owHUj9AKYa9OvOcc5GXvleG8BXKcjEcTuFNz8r4s5hq0KnwO8qZ29j2nZ54vG/1+spXjbvVi7D0/RGFyc3XyPY/FGLQtYF80UX4DdVI3Avt1MeYd1IHHIZDVdBwQ6bgmzm802HkMOwelqzCZMuhTQ8ce9vcYs7E/UrlGdDdL99e7EmN8D7G/Q0h3qJfLo60Ku6N6EJ+30CzMvcCh4bmlZyvghgj/LTQQ36PZGMvfE9HgtT8KPb0BTXB+YZhz0IQwtOtNw6CzjQ4DfmjPV0Vt9hFRmne3cujXbIzx3QE5lbPX+y1u//t903M0UbvYJMzv0Crf9sAxtG2n10Yrdwuhvde7E10B2CKYeGvdQlEZbImcjX2zz+33UEZ9sTMbugkT2o59rUzWRc7cm5DdL5jz/FUqUQejquhoFCbmMsqe/xg4PkrPjiE90Xctg0Eh8eejieOCZg+LoH5v4ezzqC2/AU3a2unoSkymTxmKIhW3ydh+/PxOtOVlcDdiBkXP+yFn3ZVRfRuLbGtI9rlhNjRdQ/J0dBUGbbuahGz+NuQUC+3H5XnPTceBqP933YA5EZ3VtWtkHz+lbb9zBOrX98rDoLp7KorY7FePjjowe0Tfhd0Yod85AfUp7fqd2f3TdALpExWGJulvmdE+jibzy1nF/AHyNk9AYVN/sk8Wc4HpuAqtupxbh44s5nHTOzri2hetUH+GvILP1InZBG1zCGGC1zbgPc8iJ8iCEWYS2l7xgb3rmToxR6Bws6uRp/fnDXjP0wETNU4uKoPH7VMPJthUsIefNug9F6IVj+VQ+PQbKNTvXbRa8GQXYt5BK8c/QKsDl5XQ8TOiwUOVNHUVJpTB1VYG02ro+BOK9lkM1Y9HUFTFBEv3y6jz7CrM7cb3UnSg2SW0td8RaBDwIaoPj6E62SzMtqjeT7e8Ox9YwJ6dhwaFIc0zLc3NxJxKZdvRx2iSsCgK7V4KOaQnoFXSX1mavt9EzHZoL+/N2H5eNHDbHLUVP0TO8b+itndMkzG3G98rUJTaAKIJr+G3RyuK/wHWD/WwGRhLzwwrgw+JDju152PRSt1baLVuXM7YoekYFJno7BPSdBma8M4bP4/S/VfUR47J6uhqjH0/HI05PkQrpEeh7RILZZ6/bd/PRA6/lXJ0NAqTy8UwvYvS00oYy/9lqNwCMQNNZP+InDrx87siHa9RuZmi2zCZ/ngK8B5qS4blPJ8HOUbeQU7f7sQMz2B+gtq6GSg65aEYY8+PsTS/gfr9ZXN0dDkG1cuRqM+egbZQXJTzvLfpeAttdxrexZjJaCz5ENpSc5phNqPS70y2NM1AkYxZzK2oT7oejZvOqkNHPZjngDNz2um5kY1/QKZPmRM+aVtKi4iFzm2OjPT7yAM4isoK1b1oX9VlaD/8PsA6OZhJqGKtjirAiDp0ZDHrovM2jrb9fqBw9p3tXWugAU+HMJbmjdHk5X/2/PMGvGcNNDA/JsL0Qis3HyKP8tiOYozvWmhCsBhawfINeM+aAUPbcN+jLU17WBl0CBPZ1ANoX+QkNMhsxHvmQ17hXqjx3M++Ow11JuO6EPMAinI4AoUaz1VCR3/gVOfciJw07WlpajgmKoPfosHVJmgiVqRjHbTacSDquHZDA5wLkGNtG2R7XYVZHN08sxKa+Palrf2+Y1z/iybu66E62e0Yy99xaECxPNqbPhg4wem8gCfR5HIaamN2sDQ3EzMF1f2xxncYGrTO7bXl6zNkz/9C0TProLNvuh1jPA9ATph1gE+cc8O9QrV/g5w1Y9Cgeh50+vxWTcRcjdroAWgw+AQwj7fRHoDTOQEnWBldjkJ4hzUDY88PRgNrb2l8y56FbSDzmp30RpFoY51zw1oN473/wtI1zNL0Adob/icUPfOFN7F0n4Halt8DX451dAfGiui/aDX/ZeTcmw+1ff+Lnj+BoirWQucJ/AnYMKOjUZgiLnjvP7f0TK2SnlbBDLfsn4nOEgrt+URL22fR843RQsT5aFX9bmBCRkdXY2alCdnv16181gN2z6TZozqwBGqHFgB26kbMjhm+96ExxiB0ts1vqGxpAzmlxyNn+gA0xt84o6MrMZPMRvDaFvE5Gm98hMa/78XPvbbdDEHRzX3RuGSnLsQsjhbQ/oPGjpOBlZzOx3oAtclLooXM/0O32G2ewdyG5k0fo0W2HYFlO6ijXsxkYBnn3HBrn4NshZzq63nvn2ZOk2Z4VNIn/4M6gQuBEfZ3fzRoPyfCHIJWVHMxpuMaKlsSOqyjAHMtcEGEudz+r26M8X2QylVsXfWeEWhV4bpOYr6OvKEbdPF7lkGdVlGaymAORd7f3Pzt5Huup+22iq+Sb78NxSCb+WkdOuI0LYgGWUXpbhRmf+TRr1YG1XRcB/w4StPX0MS5SzGWv5di10Fn+UaYS6qluTsxVNrNpTPpCSsni6EBzlU5aW4G5mC0erh6QZpvRJEoRfnS5Rjk4FgJbZk4DK0aHQyMjP5/bjRIHY6iPJqGifgujBx14XmInOllmOPRwY3bNRnT1/jug64BbPPcMIOQc3T1PB2thkGTsIloIH5ozvM+yEl1VYGO7sAEmxlgZdC/yvO57bOqlVdXYqpxiW1qKBrvVEtzq2BGZOrkQLQI1eZ5hFkDRWC209FNmGyd7EtxG7IS7duh7sSMiGxmHFqI2KdK/g9FC5hjCsqoqzELZOzhKDTPyD53hjkLnYeRp6ORmKVQ5MuKyGE7FJ0zt2JkM0shx+SgPIw9n4KcePPXo6OTmIeIopTs557o3K+mz22b8Wk6gTn9gwZhfdGAYAxaeZqEVptAndyf0SpgNcxSyMu8Yyd0lMHMY5jtOolZ0vju0MXvCZht0CrIinViAt/tkAf9+i56T8BsZeWxdJ2YwHdrFF5+bRe9pz/aUlNUBo3CLIVWvqrZTBkdIU1fsd+X6kJMKINtjMs1dehoVL1tRBsS+G5bIn+7AxPyd/uCND8T5W+zMUuhqI1tqjxvdJvXWUywhx0y/dV26Gykg9H++XFA/xbAnIAGsuvW0LFmifd0Bybw/VIZHbQ966BVMSFNa9n3faroWN109Cl4T3dgOlQGLWIPa1h6evUATNk6uXaJvOsOTOA7roaOsSXe0x2Ynsp3nRo61irxnkZi4vONgmPgKrRQEWymGmZdFDm8did0NAxjv68ap3lO/TSdwJz8QQdLPoP2wV+DtoeEA7g2sb+3QGF0d1XB7Go6nkRhS/Xo6E5MM/je3QlMR/h25j09mW9Ps5meVgY9LX8T39mH729pv696OxQW+zEKjb21yZjvoe1Lr6Ew3PVr6LitxHu6EpPlu0GBjk9L5EsrYDpSBj2Nb6vZb7Pr2+yYpsS3e/kWtXlNa6MxxwE6CPUAdK7FR+jw0Szmj+ha6d+grbNfqkNHIzEror77RbR9qc3ZT3Pap+kE5sQPCoVaGK00j0fbFI4y4x2NBp9XUDlE6F3gSzmYG9C+1qvRnt0z69DRnZjEN/Gd3dOU+Ca+sxPfM9AZECtk+q4P0HkAG6Kzb7odQ9t+9FfohonvJ74pTT2BbytxmVPTlPgmvugChSzmOuRIeBrdvjcLE+l4Hy1WPIL69dI6Gokx3CWo7/59/P2c/Gk6gTn1g/ZKXYQGlSG06DDgL2glbUEUwvwYOqgmD7MQOg3+LGCZOnV0JybxTXxn9zQlvonv7Mb3W+icoXCmyWg0OJwU6WgKBvWjV6KDGFdNfFOaehLfVuIyp6Yp8U18I0zo885GDoUN8jCWpj+ja52XrUdHgzE/AF4iE6UyJ3+aTmBO+6C94muiQ2CuA47KPD8WHe62TgHmLBRKNaoTOroTk/gmvrN7mhLfxHd25nsUOnh0PdNxY5MxU9E1jaON77cT35SmHsS3lbjMqWlKfBPfLOYmdK7FFLRNMy9Nd6DDXR8AzqhDRyMxlyNHy+bA4vHzOf3ThyTdJs65LdH1lB+gEKOrgR8553p770832NvopPEF8jCmY0t0Uu7x9ejoTkzim/jO7mlKfBPfOYDve2gL5TDTcXmzMMZ3K+N7bMT388Q3panV+bYSlzk1TYlv4lsFsyFyfjyNIuvz0jQYOBFFS/zIOfdRWR0NxlwPHO+9/xydn5UkkuTc6CZxzq2DVsd29t4/4Zy7CJ3Uuw7wsHOuNzATOBXtBdsaeQljzKLARmjv9Fbo/uuO6uhOTOKb+M7uaUp8E9/EN/GdXfjOjmlqJb6txGVOTVPim/gWYbZBZ00VpWm+OnQ0EnMtikJZzTk3xHv/PknaSleEg6RP+w8yzD2jv4cDv7DfF0cHwtyEThNeqQrmDuDXwONU7r3uqI7uxCS+ie/snqbEN/FNfBPf2YXv7JimVuLbSlzm1DQlvolvT0/TBYGL982f37bip+kE5pQP2hc1MPp9IeAJYJR9NwbdAb1QAWYxYH4U6lWvju7EJL6J7+yepsQ38U18E9/Zhe/smKZW4ttKXObUNCW+iW9PT1MfYJD3zZ/btuqn6QTmxI8Z5rzAr+3vXYGfAvOUxTRCR3diWolL4tszMK3EJfFtPqaVuCS+zce0EpfZke/smKbEJaUp8U18Z6c0pU/+p+kE5uQPcBlwOgXhRbUwjdDRnZhW4pL49gxMK3FJfJuPaSUuiW/zMa3EZXbkOzumKXFJaWpVLolvz8C0Epf0ycmzZhOYEz+AQ6FHLwOvA0t1FNMIHd2JaSUuiW/PwLQSl8S3+ZhW4pL4Nh/TSlxmR76zY5oSl5SmVuWS+PYMTCtxSZ/qn6YTmJM/wJ7ACp3BNEJHd2JaiUvi2zMwrcQl8W0+ppW4JL7Nx7QSl9mR7+yYpsQlpalVuSS+PQPTSlzSp/3HWcYlaYI455yvUQC1MI3Q0Z2YVuKS+PYMTCtxSXybj2klLolv8zGtxGV25FsG00pcehrfVuLSKEwrcUl8m49pJS6NwrQSlyTtJTk3kiRJkiRJkiRJkiRJkiRJkiQ9Wno1m0CSJEmSJEmSJEmSJEmSJEmSJElnJDk3kiRJkiRJkiRJkiRJkiRJkiQ9WpJzI0mSJEmSJEmSJEmSJEmSJEnSoyU5N5IkSZIkSZIkSZIkSZIkSZIkPVqScyNJkiRJkiRJ0iXinHvNOXd/s3kUiXPuMudcOl09SZIkSZIk6eGSnBtJkiRJkiRJkpYU59whzrk9G6BnT+fcIQ2glCRJkiRJkiRpUUlXwSZJkiRJkiRJukScc68Br3nvxzfj/yM99wOLeu8XzXk2F9Dbe/+/zrwjSZIkSZIkSdJc6dNsAkmSJEmSJEmSJM0S7/2nwKfN5pEkSZIkSZIk6ZykbSlJkiRJkiRJkk6Jc25h59z1zrmPnHMfO+dud84tUQW7o3PuNufc6865T5xz7znnbnHOrZzBeWAMsKFzzkefRSPMWOfczabjE+fcTOfc8c65PhHmNWBDYExGz3h73u7MjfCdc26o/f6ec+6fxnOkYfZzzj3vnPufc26Gc+4rBen9vf3/f5xzjzjntu94LidJkiRJkiRJiiRFbiRJkiRJkiRJ6hbn3GDgt8DCwIXAc8iZ8Btgnpx/OQj4B3AR8HdgCWA/4EHn3Ore+xcNtxtwDvAe8L3o/9+1924B3AS8BPwAeB/4EnAysCqwg+EPAU4HhgGHRnqeL5G8u4E3gROAJYFvAjc7524yztOA/9n3NzjnlvbevxrlzanA8abnO8AXwDbAdOfcQd7780twSJIkSZIkSZKUkHTmRpIkSZIkSZKkbnHOnQYcC+ztvb80+v5c4FvAA/GZGc65Ad77f2d0LAc8CUzz3h8Qff8aOWduOOf6Aa8BLwATvfefRc8OBc4GJnjv77fv7qf6mRuXAXt47132O+AC7/2B0fdnIwfJG8CK3vuP7fuVgaeAM7z3x9p3qwOPA6d774/LvPMWYCIw2nv/zyynJEmSJEmSJEnHJW1LSZIkSZIkSZJ0RrYG3gauyHw/NQ8cHBtOMtA5NwxFY8wE1i75zknACOBSYLBzblj4AHcaZpOOJSNXzs38/Tv7eUVwbAB47/8MfAwsFWF3ATxweczPON4GzIciTZIkSZIkSZIkDZC0LSVJkiRJkiRJ0hlZHPij9/7z+Evv/VvOuQ+zYOfcasApwHhgQObxq1l8FVnOfl5SgBlRUleRvJL5+wP7mcfzA2Bo9PdygANmFOhvBMckSZIkSZIkCcm5kSRJkiRJkiTpJnHOLYLO5/gYOThmAv9GEQ7nAvOWVWU/j0TbWfLkb/UzlWQdNpFU+95lfvfA5gX4Z+ukliRJkiRJkiTJSHJuJEmSJEmSJEk6I68ASznnesfOAOfcKGBwBrsNcmBs5b3/TfzAOTcU+CSDr3YwWDh09N/e+3tLcGzGAWMvApsBr3vvyxxemiRJkiRJkiTphKQzN5IkSZIkSZIknZFb0faK3TPfH52DDc6POMIB59y+wMgc/L+AITnf3wO8AxzjnGv33Dk3j3Nuvoye+Z1zLovtQrnSfp7mnOudfeicS1tSkiRJkiRJkgZKitxIkiRJkiRJknRGzgR2Bn7mnFsDbbUYjw7LfC+DvQv4D3Clc+48dE7FusBk4GXaj0seBvZxzp2Crm79Arjde/9v59zuwC3ATOfcJehK2MHAssC2KErk/kjPlsB5zrk/ICfLfd77dxqRAXnivf+jc+67wHeBJ51z09FWmVHAGijNc3fV+5MkSZIkSZI5TZJzI0mSJEmSJElSt3jvP3DOrY+uXw3RGw8AE4BfZ7AvO+c2B04DjkNOhgeBDYHzgEUz6o9HkRsHIseFAxZD21Hucc6tCRwD7AoMR86Sl0TDOuUAAAESSURBVI3LnyM956CDT7cHvoEiVyeg6I8uE+/9Sc65x4BvAoegA1TfAZ6x75IkSZIkSZIkDRLnfTO2oSZJkiRJkiRJkiRJkiRJkiRJkjRG0pkbSZIkSZIkSZIkSZIkSZIkSZIeLcm5kSRJkiRJkiRJkiRJkiRJkiTp0ZKcG0mSJEmSJEmSJEmSJEmSJEmSHi3JuZEkSZIkSZIkSZIkSZIkSZIk6dGSnBtJkiRJkiRJkiRJkiRJkiRJkh4tybmRJEmSJEmSJEmSJEmSJEmSJOnRkpwbSZIkSZIkSZIkSZIkSZIkSZIeLcm5kSRJkiRJkiRJkiRJkiRJkiTp0ZKcG0mSJEmSJEmSJEmSJEmSJEmSHi3/D+c9BrP5CEWwAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1296x648 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        },
        "id": "BC5_N82NzxCW",
        "outputId": "9b08d036-1204-4429-d165-a6e8a843ae48"
      },
      "source": [
        "stockPriceClose=stockPrice[['close']]\n",
        "# 학습용 데이터와 테스트용 데이터로 분리\n",
        "train_data=pd.DataFrame(stockPriceClose.loc[:'2016-04-01',['close']])\n",
        "test_data=pd.DataFrame(stockPriceClose.loc['2016-04-01':,['close']])\n",
        "# 분리된 데이터 \n",
        "plt.figure(figsize = (18,9))\n",
        "plt.plot(train_data)\n",
        "plt.plot(test_data)\n",
        "plt.legend(['train', 'test'])\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x648 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vis63lbk0Cfo",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1bca1c3b-c2f3-476c-c5cc-8d2078296094"
      },
      "source": [
        "# 학습 데이터와 테스트 데이터(ndarray)를 데이터프레임으로 변형한다.\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "total_data=pd.DataFrame(stockPriceClose.loc[:,['close']])\n",
        "\n",
        "scaler = MinMaxScaler() \n",
        "total_data_sc=scaler.fit_transform(total_data)\n",
        "\n",
        "total_sc_df=pd.DataFrame(total_data_sc, columns=['Scaled_0'], index=total_data.index)\n",
        "\n",
        "# LSTM은 과거의 데이터를 기반으로 미래을 예측하는 모델이다. \n",
        "# 따라서, 과거 데이터를 몇 개 사용해서 예측할 지 정해야 한다. 여기서는 250개(1년)를 사용한다. 그리고 60개(3개월)을 예측한다.  \n",
        "past_data = 120\n",
        "pred_data = 60\n",
        "for i in range(1, past_data + pred_data):\n",
        "    total_sc_df['Scaled_{}'.format(i)]=total_sc_df['Scaled_0'].shift(i)\n",
        "\n",
        "train_sc_df=pd.DataFrame(total_sc_df.loc[:'2016-04-01',:])\n",
        "test_sc_df=pd.DataFrame(total_sc_df.loc['2016-04-01':,:])\n",
        "print(test_sc_df)\n",
        "#nan 값이 있는 로우를 삭제하고 X값과 Y값을 생성한다.\n",
        "x_train=train_sc_df.dropna().drop([f'Scaled_{i}' for i in range(pred_data)], axis=1).loc[:,::-1]\n",
        "y_train=train_sc_df.dropna()[[f'Scaled_{i}' for i in range(pred_data)]].loc[:,::-1]\n",
        "print(x_train)\n",
        "x_test=test_sc_df.dropna().drop([f'Scaled_{i}' for i in range(pred_data)], axis=1).loc[:,::-1]\n",
        "y_test=test_sc_df.dropna()[[f'Scaled_{i}' for i in range(pred_data)]].loc[:,::-1]\n",
        "print(y_test)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "            Scaled_0  Scaled_1  Scaled_2  ...  Scaled_177  Scaled_178  Scaled_179\n",
            "date                                      ...                                    \n",
            "2016-04-01  0.379752  0.386955  0.387755  ...    0.470188    0.475790    0.445378\n",
            "2016-04-04  0.378952  0.379752  0.386955  ...    0.458183    0.470188    0.475790\n",
            "2016-04-05  0.382953  0.378952  0.379752  ...    0.459784    0.458183    0.470188\n",
            "2016-04-06  0.382953  0.382953  0.378952  ...    0.457383    0.459784    0.458183\n",
            "2016-04-07  0.399760  0.382953  0.382953  ...    0.488595    0.457383    0.459784\n",
            "...              ...       ...       ...  ...         ...         ...         ...\n",
            "2021-04-19  0.349340  0.348539  0.340536  ...    0.220088    0.222489    0.206883\n",
            "2021-04-20  0.354142  0.349340  0.348539  ...    0.219288    0.220088    0.222489\n",
            "2021-04-21  0.359744  0.354142  0.349340  ...    0.213685    0.219288    0.220088\n",
            "2021-04-22  0.354942  0.359744  0.354142  ...    0.210884    0.213685    0.219288\n",
            "2021-04-23  0.359744  0.354942  0.359744  ...    0.225290    0.210884    0.213685\n",
            "\n",
            "[1244 rows x 180 columns]\n",
            "            Scaled_179  Scaled_178  Scaled_177  ...  Scaled_62  Scaled_61  Scaled_60\n",
            "date                                            ...                                 \n",
            "2001-01-19    0.398960    0.393357    0.387755  ...   0.162865   0.155662   0.167667\n",
            "2001-01-22    0.393357    0.387755    0.371749  ...   0.155662   0.167667   0.150860\n",
            "2001-01-26    0.387755    0.371749    0.376551  ...   0.167667   0.150860   0.162865\n",
            "2001-01-29    0.371749    0.376551    0.399760  ...   0.150860   0.162865   0.150860\n",
            "2001-01-30    0.376551    0.399760    0.405362  ...   0.162865   0.150860   0.138055\n",
            "...                ...         ...         ...  ...        ...        ...        ...\n",
            "2016-03-28    0.486995    0.486194    0.482993  ...   0.501401   0.483794   0.459784\n",
            "2016-03-29    0.486194    0.482993    0.427771  ...   0.483794   0.459784   0.434974\n",
            "2016-03-30    0.482993    0.427771    0.445378  ...   0.459784   0.434974   0.443778\n",
            "2016-03-31    0.427771    0.445378    0.475790  ...   0.434974   0.443778   0.442977\n",
            "2016-04-01    0.445378    0.475790    0.470188  ...   0.443778   0.442977   0.419768\n",
            "\n",
            "[3764 rows x 120 columns]\n",
            "            Scaled_59  Scaled_58  Scaled_57  ...  Scaled_2  Scaled_1  Scaled_0\n",
            "date                                         ...                              \n",
            "2016-04-01   0.426170   0.418167   0.467787  ...  0.387755  0.386955  0.379752\n",
            "2016-04-04   0.418167   0.467787   0.503001  ...  0.386955  0.379752  0.378952\n",
            "2016-04-05   0.467787   0.503001   0.513405  ...  0.379752  0.378952  0.382953\n",
            "2016-04-06   0.503001   0.513405   0.552621  ...  0.378952  0.382953  0.382953\n",
            "2016-04-07   0.513405   0.552621   0.543017  ...  0.382953  0.382953  0.399760\n",
            "...               ...        ...        ...  ...       ...       ...       ...\n",
            "2021-04-19   0.298519   0.308924   0.314526  ...  0.340536  0.348539  0.349340\n",
            "2021-04-20   0.308924   0.314526   0.335734  ...  0.348539  0.349340  0.354142\n",
            "2021-04-21   0.314526   0.335734   0.321329  ...  0.349340  0.354142  0.359744\n",
            "2021-04-22   0.335734   0.321329   0.312925  ...  0.354142  0.359744  0.354942\n",
            "2021-04-23   0.321329   0.312925   0.299320  ...  0.359744  0.354942  0.359744\n",
            "\n",
            "[1244 rows x 60 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tXJGwJxK-YIP",
        "outputId": "8d95cced-84f3-41e1-d9ce-7ca63bf89d0f"
      },
      "source": [
        "print(test_sc_df.iloc[496,:])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Scaled_0      0.265706\n",
            "Scaled_1      0.276511\n",
            "Scaled_2      0.286915\n",
            "Scaled_3      0.287715\n",
            "Scaled_4      0.284914\n",
            "                ...   \n",
            "Scaled_175    0.537415\n",
            "Scaled_176    0.537415\n",
            "Scaled_177    0.531813\n",
            "Scaled_178    0.501401\n",
            "Scaled_179    0.506202\n",
            "Name: 2018-04-10, Length: 180, dtype: float64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "seRlsqPd5IU-"
      },
      "source": [
        "# 대부분의 기계학습 모델은 데이터프레임 대신 ndarray구조를 입력 값으로 사용한다.\n",
        "# ndarray로 변환한다.\n",
        "x_train=x_train.values\n",
        "x_test=x_test.values\n",
        "\n",
        "y_train=y_train.values\n",
        "y_test=y_test.values\n",
        "\n",
        "# LSTM 모델에 맞게 데이터 셋 변형\n",
        "x_train_t = x_train.reshape(x_train.shape[0], past_data,1)\n",
        "x_test_t = x_test.reshape(x_test.shape[0], past_data, 1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ob1QjNDr5ISX",
        "outputId": "58d5dd6f-abfb-468e-eb88-57e32c8af8af"
      },
      "source": [
        "from keras.layers import LSTM \n",
        "from keras.models import Sequential \n",
        "from keras.layers import Dense \n",
        "import keras.backend as K \n",
        "from keras.callbacks import EarlyStopping \n",
        "\n",
        "\n",
        "with tf.device('/device:GPU:0'):\n",
        "    K.clear_session() \n",
        "    # Sequeatial Model\n",
        "    model = Sequential() \n",
        "    # 첫번째 LSTM 레이어\n",
        "    model.add(LSTM(past_data,return_sequences=False, input_shape=(past_data, 1))) \n",
        "    # 예측값 60개\n",
        "    model.add(Dense(pred_data, activation='linear')) \n",
        "    # 손실함수 지정 - 예측 값과 실제 값의 차이를 계산한다. MSE가 사용된다. \n",
        "    # 최적화기 지정 - adam을 사용한다.\n",
        "    model.compile(loss='mean_squared_error', optimizer='adam') \n",
        "model.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "lstm (LSTM)                  (None, 120)               58560     \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 60)                7260      \n",
            "=================================================================\n",
            "Total params: 65,820\n",
            "Trainable params: 65,820\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P-8K6YbI5IJS",
        "outputId": "be934d0f-1754-455d-df34-20f10c7a363f"
      },
      "source": [
        "# 손실 값(loss)를 모니터링해서 성능이 더이상 좋아지지 않으면 epoch를 중단한다.\n",
        "# vervose=1은 화면에 출력\n",
        "early_stop = EarlyStopping(monitor='loss', patience=10, verbose=1)\n",
        "\n",
        "#epochs는 훈련 반복 횟수를 지정하고 batch_size는 한 번 훈련할 때 입력되는 데이터 크기를 지정한다.\n",
        "model.fit(x_train_t, y_train, epochs=500,\n",
        "          batch_size=64, verbose=1, callbacks=[early_stop])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/500\n",
            "59/59 [==============================] - 33s 9ms/step - loss: 0.0347\n",
            "Epoch 2/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0079\n",
            "Epoch 3/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0075\n",
            "Epoch 4/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0071\n",
            "Epoch 5/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0065\n",
            "Epoch 6/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0064\n",
            "Epoch 7/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0067\n",
            "Epoch 8/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0069\n",
            "Epoch 9/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0065\n",
            "Epoch 10/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0066\n",
            "Epoch 11/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0059\n",
            "Epoch 12/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0060\n",
            "Epoch 13/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0070\n",
            "Epoch 14/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0057\n",
            "Epoch 15/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0057\n",
            "Epoch 16/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0062\n",
            "Epoch 17/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0059\n",
            "Epoch 18/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0063\n",
            "Epoch 19/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0059\n",
            "Epoch 20/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0056\n",
            "Epoch 21/500\n",
            "59/59 [==============================] - 0s 7ms/step - loss: 0.0067\n",
            "Epoch 22/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0061\n",
            "Epoch 23/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0058\n",
            "Epoch 24/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0058\n",
            "Epoch 25/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0052\n",
            "Epoch 26/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0053\n",
            "Epoch 27/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0056\n",
            "Epoch 28/500\n",
            "59/59 [==============================] - 0s 7ms/step - loss: 0.0052\n",
            "Epoch 29/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0050\n",
            "Epoch 30/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0052\n",
            "Epoch 31/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0064\n",
            "Epoch 32/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0063\n",
            "Epoch 33/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0062\n",
            "Epoch 34/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0064\n",
            "Epoch 35/500\n",
            "59/59 [==============================] - 1s 8ms/step - loss: 0.0061\n",
            "Epoch 36/500\n",
            "59/59 [==============================] - 1s 9ms/step - loss: 0.0064\n",
            "Epoch 37/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0064\n",
            "Epoch 38/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0059\n",
            "Epoch 39/500\n",
            "59/59 [==============================] - 0s 8ms/step - loss: 0.0060\n",
            "Epoch 00039: early stopping\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tensorflow.python.keras.callbacks.History at 0x7f9af024d750>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "787HVf0wiqna",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 756
        },
        "outputId": "b0f0d227-e061-4cb8-d5a2-461df9c492aa"
      },
      "source": [
        "#테스트의 Y값(실측값) 과 예측값을 비교한다.\n",
        "y_pred = model.predict(x_test_t)\n",
        "t_df=test_sc_df.dropna()\n",
        "\n",
        "y_test_df=pd.DataFrame([y_test][0], index=t_df.index)\n",
        "y_pred_df=pd.DataFrame([y_pred][0], index=t_df.index)\n",
        "print(y_test_df)\n",
        "correct = 0\n",
        "real_up = 0\n",
        "real_down = 0\n",
        "correct_up = 0\n",
        "correct_down = 0\n",
        "size = len(y_test_df)\n",
        "for i in range(size):\n",
        "    test = y_test_df.iloc[i][pred_data - 1] - y_test_df.iloc[i][0]\n",
        "    pred = y_pred_df.iloc[i][pred_data - 1] - y_pred_df.iloc[i][0]\n",
        "    if test <= 0:\n",
        "        real_down += 1\n",
        "        if pred <= 0:\n",
        "            correct += 1\n",
        "            correct_down += 1\n",
        "    else:\n",
        "        real_up += 1\n",
        "        if pred > 0:\n",
        "            correct += 1\n",
        "            correct_up += 1\n",
        "print('acc:', round(correct / size * 100, 2), '%')\n",
        "print('up_acc:   ', round(correct_up / real_up * 100, 2), '%', f' {correct_up} / {real_up}')\n",
        "print('down_acc: ', round(correct_down / real_down * 100, 2), '%', f' {correct_down} / {real_down}')\n",
        "plt.figure(figsize = (18,9))\n",
        "plt.plot(y_test_df.iloc[150])\n",
        "plt.plot(y_pred_df.iloc[150])\n",
        "plt.legend(['test','pred'])\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "                  0         1         2   ...        57        58        59\n",
            "date                                      ...                              \n",
            "2016-04-01  0.426170  0.418167  0.467787  ...  0.387755  0.386955  0.379752\n",
            "2016-04-04  0.418167  0.467787  0.503001  ...  0.386955  0.379752  0.378952\n",
            "2016-04-05  0.467787  0.503001  0.513405  ...  0.379752  0.378952  0.382953\n",
            "2016-04-06  0.503001  0.513405  0.552621  ...  0.378952  0.382953  0.382953\n",
            "2016-04-07  0.513405  0.552621  0.543017  ...  0.382953  0.382953  0.399760\n",
            "...              ...       ...       ...  ...       ...       ...       ...\n",
            "2021-04-19  0.298519  0.308924  0.314526  ...  0.340536  0.348539  0.349340\n",
            "2021-04-20  0.308924  0.314526  0.335734  ...  0.348539  0.349340  0.354142\n",
            "2021-04-21  0.314526  0.335734  0.321329  ...  0.349340  0.354142  0.359744\n",
            "2021-04-22  0.335734  0.321329  0.312925  ...  0.354142  0.359744  0.354942\n",
            "2021-04-23  0.321329  0.312925  0.299320  ...  0.359744  0.354942  0.359744\n",
            "\n",
            "[1244 rows x 60 columns]\n",
            "acc: 60.29 %\n",
            "up_acc:    30.12 %  175 / 581\n",
            "down_acc:  86.73 %  575 / 663\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x648 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}