covid-trends.ipynb

covid-trends.ipynb

{
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  "metadata": {
    "colab": {
      "name": "covid-trends.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyN8ErdQiEUEWibyvrJFBZBR",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/avidale/039ad33a5499dfd9dda8ac46505b5292/covid-trends.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VNX-MplGGElJ",
        "colab_type": "text"
      },
      "source": [
        "Этот блокнот - иллюстрация к моему посту ([вк](https://vk.com/mat.chast?w=wall-130785301_270), [tg](https://t.me/matchast/204)) про экспоненциальный рост. \n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X4J8hwDonXlO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EnQ0Oh_nFXGC",
        "colab_type": "text"
      },
      "source": [
        "Скачиваем данные по COVID-19 из [официального репозитория](https://github.com/CSSEGISandData/COVID-19) университета Джона Хопкинса. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "csnojHMbnj6Y",
        "colab_type": "code",
        "outputId": "6e9c2bd0-729e-4122-a252-c313882ea464",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "df_conf = pd.read_csv(\n",
        "    'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv', \n",
        "    sep=',', encoding='utf-8', error_bad_lines=False,\n",
        ")\n",
        "print(df_conf.shape)"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(266, 125)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UW9-tu5rFoY7",
        "colab_type": "text"
      },
      "source": [
        "Выглядят они так: в строке страна, в столбце дата, на пересечении - накопленное число подтвержденных случаев заражения. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d6ui8RPWnoku",
        "colab_type": "code",
        "outputId": "cbb617f7-d989-484f-c014-1b2ac2b9954a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 208
        }
      },
      "source": [
        "df_conf.sample(3)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Province/State</th>\n",
              "      <th>Country/Region</th>\n",
              "      <th>Lat</th>\n",
              "      <th>Long</th>\n",
              "      <th>1/22/20</th>\n",
              "      <th>1/23/20</th>\n",
              "      <th>1/24/20</th>\n",
              "      <th>1/25/20</th>\n",
              "      <th>1/26/20</th>\n",
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              "      <th>1/28/20</th>\n",
              "      <th>1/29/20</th>\n",
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              "      <th>2/5/20</th>\n",
              "      <th>2/6/20</th>\n",
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              "      <th>2/15/20</th>\n",
              "      <th>2/16/20</th>\n",
              "      <th>2/17/20</th>\n",
              "      <th>2/18/20</th>\n",
              "      <th>2/19/20</th>\n",
              "      <th>2/20/20</th>\n",
              "      <th>2/21/20</th>\n",
              "      <th>2/22/20</th>\n",
              "      <th>2/23/20</th>\n",
              "      <th>2/24/20</th>\n",
              "      <th>2/25/20</th>\n",
              "      <th>2/26/20</th>\n",
              "      <th>...</th>\n",
              "      <th>4/12/20</th>\n",
              "      <th>4/13/20</th>\n",
              "      <th>4/14/20</th>\n",
              "      <th>4/15/20</th>\n",
              "      <th>4/16/20</th>\n",
              "      <th>4/17/20</th>\n",
              "      <th>4/18/20</th>\n",
              "      <th>4/19/20</th>\n",
              "      <th>4/20/20</th>\n",
              "      <th>4/21/20</th>\n",
              "      <th>4/22/20</th>\n",
              "      <th>4/23/20</th>\n",
              "      <th>4/24/20</th>\n",
              "      <th>4/25/20</th>\n",
              "      <th>4/26/20</th>\n",
              "      <th>4/27/20</th>\n",
              "      <th>4/28/20</th>\n",
              "      <th>4/29/20</th>\n",
              "      <th>4/30/20</th>\n",
              "      <th>5/1/20</th>\n",
              "      <th>5/2/20</th>\n",
              "      <th>5/3/20</th>\n",
              "      <th>5/4/20</th>\n",
              "      <th>5/5/20</th>\n",
              "      <th>5/6/20</th>\n",
              "      <th>5/7/20</th>\n",
              "      <th>5/8/20</th>\n",
              "      <th>5/9/20</th>\n",
              "      <th>5/10/20</th>\n",
              "      <th>5/11/20</th>\n",
              "      <th>5/12/20</th>\n",
              "      <th>5/13/20</th>\n",
              "      <th>5/14/20</th>\n",
              "      <th>5/15/20</th>\n",
              "      <th>5/16/20</th>\n",
              "      <th>5/17/20</th>\n",
              "      <th>5/18/20</th>\n",
              "      <th>5/19/20</th>\n",
              "      <th>5/20/20</th>\n",
              "      <th>5/21/20</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Malta</td>\n",
              "      <td>35.9375</td>\n",
              "      <td>14.3754</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>378</td>\n",
              "      <td>384</td>\n",
              "      <td>393</td>\n",
              "      <td>399</td>\n",
              "      <td>412</td>\n",
              "      <td>422</td>\n",
              "      <td>426</td>\n",
              "      <td>427</td>\n",
              "      <td>431</td>\n",
              "      <td>443</td>\n",
              "      <td>444</td>\n",
              "      <td>445</td>\n",
              "      <td>447</td>\n",
              "      <td>448</td>\n",
              "      <td>448</td>\n",
              "      <td>450</td>\n",
              "      <td>458</td>\n",
              "      <td>463</td>\n",
              "      <td>465</td>\n",
              "      <td>467</td>\n",
              "      <td>468</td>\n",
              "      <td>477</td>\n",
              "      <td>480</td>\n",
              "      <td>482</td>\n",
              "      <td>484</td>\n",
              "      <td>486</td>\n",
              "      <td>489</td>\n",
              "      <td>490</td>\n",
              "      <td>496</td>\n",
              "      <td>503</td>\n",
              "      <td>506</td>\n",
              "      <td>508</td>\n",
              "      <td>522</td>\n",
              "      <td>532</td>\n",
              "      <td>546</td>\n",
              "      <td>553</td>\n",
              "      <td>558</td>\n",
              "      <td>569</td>\n",
              "      <td>584</td>\n",
              "      <td>599</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Bosnia and Herzegovina</td>\n",
              "      <td>43.9159</td>\n",
              "      <td>17.6791</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1009</td>\n",
              "      <td>1037</td>\n",
              "      <td>1083</td>\n",
              "      <td>1110</td>\n",
              "      <td>1167</td>\n",
              "      <td>1214</td>\n",
              "      <td>1268</td>\n",
              "      <td>1285</td>\n",
              "      <td>1309</td>\n",
              "      <td>1342</td>\n",
              "      <td>1368</td>\n",
              "      <td>1413</td>\n",
              "      <td>1421</td>\n",
              "      <td>1486</td>\n",
              "      <td>1516</td>\n",
              "      <td>1565</td>\n",
              "      <td>1585</td>\n",
              "      <td>1677</td>\n",
              "      <td>1757</td>\n",
              "      <td>1781</td>\n",
              "      <td>1839</td>\n",
              "      <td>1857</td>\n",
              "      <td>1926</td>\n",
              "      <td>1946</td>\n",
              "      <td>1987</td>\n",
              "      <td>2027</td>\n",
              "      <td>2070</td>\n",
              "      <td>2090</td>\n",
              "      <td>2117</td>\n",
              "      <td>2141</td>\n",
              "      <td>2158</td>\n",
              "      <td>2181</td>\n",
              "      <td>2218</td>\n",
              "      <td>2236</td>\n",
              "      <td>2267</td>\n",
              "      <td>2290</td>\n",
              "      <td>2304</td>\n",
              "      <td>2321</td>\n",
              "      <td>2338</td>\n",
              "      <td>2350</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Thailand</td>\n",
              "      <td>15.0000</td>\n",
              "      <td>101.0000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>7</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>19</td>\n",
              "      <td>19</td>\n",
              "      <td>19</td>\n",
              "      <td>19</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>33</td>\n",
              "      <td>33</td>\n",
              "      <td>33</td>\n",
              "      <td>33</td>\n",
              "      <td>33</td>\n",
              "      <td>34</td>\n",
              "      <td>35</td>\n",
              "      <td>35</td>\n",
              "      <td>35</td>\n",
              "      <td>35</td>\n",
              "      <td>35</td>\n",
              "      <td>35</td>\n",
              "      <td>35</td>\n",
              "      <td>35</td>\n",
              "      <td>37</td>\n",
              "      <td>40</td>\n",
              "      <td>...</td>\n",
              "      <td>2551</td>\n",
              "      <td>2579</td>\n",
              "      <td>2613</td>\n",
              "      <td>2643</td>\n",
              "      <td>2672</td>\n",
              "      <td>2700</td>\n",
              "      <td>2733</td>\n",
              "      <td>2765</td>\n",
              "      <td>2792</td>\n",
              "      <td>2811</td>\n",
              "      <td>2826</td>\n",
              "      <td>2839</td>\n",
              "      <td>2907</td>\n",
              "      <td>2907</td>\n",
              "      <td>2922</td>\n",
              "      <td>2931</td>\n",
              "      <td>2938</td>\n",
              "      <td>2947</td>\n",
              "      <td>2954</td>\n",
              "      <td>2960</td>\n",
              "      <td>2966</td>\n",
              "      <td>2969</td>\n",
              "      <td>2987</td>\n",
              "      <td>2988</td>\n",
              "      <td>2989</td>\n",
              "      <td>2992</td>\n",
              "      <td>3000</td>\n",
              "      <td>3004</td>\n",
              "      <td>3009</td>\n",
              "      <td>3015</td>\n",
              "      <td>3017</td>\n",
              "      <td>3017</td>\n",
              "      <td>3018</td>\n",
              "      <td>3025</td>\n",
              "      <td>3025</td>\n",
              "      <td>3028</td>\n",
              "      <td>3031</td>\n",
              "      <td>3033</td>\n",
              "      <td>3034</td>\n",
              "      <td>3037</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3 rows × 125 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "    Province/State          Country/Region      Lat  ...  5/19/20  5/20/20  5/21/20\n",
              "155            NaN                   Malta  35.9375  ...      569      584      599\n",
              "27             NaN  Bosnia and Herzegovina  43.9159  ...     2321     2338     2350\n",
              "209            NaN                Thailand  15.0000  ...     3033     3034     3037\n",
              "\n",
              "[3 rows x 125 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RAcGEpYVFxrh",
        "colab_type": "text"
      },
      "source": [
        "Отфильтровываем Россию и берём данные за те дни, когда было суммарно хотя бы 30 подтвержденных случаев. То есть с 13 марта. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Kdf4N86TojHv",
        "colab_type": "code",
        "outputId": "dba06ee1-1d37-4763-c8d5-d44719d8be2e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        }
      },
      "source": [
        "russia_conf = df_conf[df_conf['Country/Region'] == 'Russia'].iloc[0, 4:].astype(float)\n",
        "russia_conf_tail = russia_conf[russia_conf >= 30]\n",
        "russia_conf_tail"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3/13/20        45.0\n",
              "3/14/20        59.0\n",
              "3/15/20        63.0\n",
              "3/16/20        90.0\n",
              "3/17/20       114.0\n",
              "             ...   \n",
              "5/17/20    281752.0\n",
              "5/18/20    290678.0\n",
              "5/19/20    299941.0\n",
              "5/20/20    308705.0\n",
              "5/21/20    317554.0\n",
              "Name: 187, Length: 70, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "puqLrLqTGGT6",
        "colab_type": "text"
      },
      "source": [
        "Вычисляем множитель, с которым увеличивалось число кейсов изо дня в день. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-VOtmlj9qH7a",
        "colab_type": "code",
        "outputId": "f0556ac1-d37c-4d5b-a3f4-12bd0a734a32",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        }
      },
      "source": [
        "growth = russia_conf_tail / russia_conf_tail.shift(1)\n",
        "growth.dropna(inplace=True)\n",
        "print(growth.describe())"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "count    69.000000\n",
            "mean      1.140425\n",
            "std       0.090285\n",
            "min       1.028665\n",
            "25%       1.067960\n",
            "50%       1.139083\n",
            "75%       1.188276\n",
            "max       1.428571\n",
            "Name: 187, dtype: float64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uf3d9l7ZGJhY",
        "colab_type": "text"
      },
      "source": [
        "Вот каким был этот множитель в последнюю неделю. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aK4Cm_TJqgWh",
        "colab_type": "code",
        "outputId": "03f834ef-d753-47a2-f654-06449eea2ff0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "print(growth.tail(7))"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "5/15/20    1.042015\n",
            "5/16/20    1.035002\n",
            "5/17/20    1.035689\n",
            "5/18/20    1.031680\n",
            "5/19/20    1.031867\n",
            "5/20/20    1.029219\n",
            "5/21/20    1.028665\n",
            "Name: 187, dtype: float64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yprDNd7Qx1d_",
        "colab_type": "text"
      },
      "source": [
        "Рисуем число кейсов в исходной и логарифмической шкале и темпы прироста. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kXmJrZ14tbTO",
        "colab_type": "code",
        "outputId": "ea6d97a6-bf61-43df-e869-3752db7f7a16",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 567
        }
      },
      "source": [
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "\n",
        "plt.subplot(2,2,1)\n",
        "russia_conf_tail.plot();\n",
        "plt.title('число случаев');\n",
        "\n",
        "plt.subplot(2,2,2)\n",
        "russia_conf_tail.plot();\n",
        "plt.yscale('log');\n",
        "plt.title('число случаев (лог.шкала)');\n",
        "\n",
        "plt.subplot(2,2,3)\n",
        "delta = (russia_conf_tail - russia_conf_tail.shift(1)).dropna()\n",
        "delta.plot()\n",
        "plt.title('число новых случаев')\n",
        "\n",
        "plt.subplot(2,2,4)\n",
        "(growth-1).plot();\n",
        "plt.title('относительный прирост числа случаев')\n",
        "\n",
        "plt.suptitle('Число случаев COVID-19 в России и его прирост по дням');\n",
        "plt.tight_layout(rect=[0, 0.03, 1, 0.95])"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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2M9zfkRF1VczsD2E8KWY22cwa5Tl/uce8yMyOPugnSESkGOiz/se6Uv+sN7PqwLHA53nKLzaz7IhtuJl1DutamdlUM0s1s1VmdkXEeveaWWbEervMrHc++817rPeb2XMRj180szsjnsPI5/tvZva5mdUMH+eehzQzW2Jmp+fZV2Gvgd+Y2dzwHCea2b15Qv0e6Ghm7fI7f1I+KMES+bmc8HdR3htjgIa5D8wsBngbWAu0B1oDEyOWrwIku3tdd68LrIuo+xdQH+gI/Bq4CLikgP3eDJwLnALUAy4F0vPs59RwH3+JKH8euCDi8SnAhrCLRg6FH/NMoB/QCHgZeDX3Hw1wHXBaGHcrYBvwZJ71GwCxwGTgH4XsR0SkNOizPn+l8VnfBchx96Q85VWAbyLOW6SJQFK437OAv5jZsRH1k3LXC38WFnKMB8TMbgOOB0a4+96weDVwJMFz+SfgRTNrmedYCnoN7CZ43hsAvwH+z8xOy6109yxgFdC3uI5BSp8SLJGf2wRkACcWtlD4D+du4L6I4sEEH/6/d/fd7r7X3b+KqK8ebjvvtmKA0cDt7p7m7gnAw8CFBez+cuBOd1/ugfnunrK//QAvAqeYWb3w8YX81EVjHXCYmbXJb4fu/qK7p7h7lrs/DNQAuoXVVwF/dPckd98H3AuclXslOPJQgRggBRGR6NJnfT5K6bO+AZCWT3lB5y0OOAK4LTzX84BnCJKUEhW2Yt4CDHf3nbnl7v6qu6939xx3nwSsJHhd5CroucHdP3P3heG6C4BXCJLWSGkE50nKqbxvCpFKzd33mdk1wH/NrA4FX4S4AXgfWB5RFgesDa8+5acRwRW/vJoA1QiuhuZaS3BVND9xBFfPfsHMjOBD+Rf7cff1ZvY1cKaZvQGcHB4HBF01JgHzwy8B1YE5Edu9BbiM4EuFE1xNbRJWtwPeMLPcK8IA2UDziMdbw21mAj/rSiEiUtr0WR/Vz/ptBK1ceRV03loBqe4emZStBeIL2H5xaQrcRdBq2A/4MLfCzC4iaGFsHxbV5afzBAUfC2Y2BHgQ6EVwrmoAr+ZZLBbYfqgHINGjFiyRPNz9GXdv7e4NgD75LNIIuJagW0CkRKBtPlfzcnUFVuRTvpXgn1Fkf+u2QHIB20kEOhVQ147gwsmaAuonEHQdORv41t2TAcKro1e5e+PwuK/OXSHsg38rcA7QMKzfQXCVMjeek929QcRPzdxth5q4e21gJPC6mdUqID4RkVKhz/qofdavCnZneRPLgs7beqCRmUUmZYWdt+KSTZCcjgWezt1/ODbqfwSvjdzzuIifzhMUfCwQdL2cCsS5e33gqch1w9dVZ2B+sR6NlColWCIH7kZgnLtvzFM+A9gAPGhmdcysppkdAWBmPQj6z7+Zd2Punk3QX/0BM4sNP7xvJujmkZ9ngPvMrIsF+phZ4/DD/x7gQ3dPL2DdN4EBBFczny/i8cYCWcAWoKqZ3U1wVTPXU2Hs7cJjbWpmIwvYVjZBn/XqRdy3iEi06LO+BD7r3T0DmE5Et7jw/J1G/uctEfgG+Gt4rvsQtLIVdN6KS6q7L3H3D4CPgb+F5XUIWve2hLFfQtAaRfi4wNdAKDbc9l4zGwycl6d+MJDg7mt/uaqUF0qwRA5cDPkM3g3/eY4guPK0jmBA7qiw+8mHwH/dfXIB27yOYODrGuArgitc4wtY9hGCf9IfAjuBcUAtgsHTjQj67efL3fcArwMdgCmFHWSEDwi6yKwg6Jaxl+BKZq7HCK7GfWhmacB3wJA829huZrsI/tFf6e47irhvEZFo0Wd9yX3W/5dw7FmYkEwAbnH3GQUsfy5Bd7z1wBvAPe4+fX8HFM7gd2RE0SAzSwpnCLweODvicWHd128GTjWzo919CcHYuW8JxvL1Br4O91eU18DVwJ/Dc3g3wXMc6XyCZFbKMXP3aMcgIqUovCrZ1d0v2O/CIiJSLpX1z/pwnNi1rpsN/8jMmhGMk+sfMWOhlENKsEQqEQvuWTIXuNDdv4h2PCIiUvz0WS8SXeoiKFJJWHBjxkTgPf3DFRGpmPRZLxJ9asESEREREREpJmrBEhERERERKSYV7kbDTZo08fbt20c7DBERKUGzZ8/e6u5Nox1HQfS/SESk4ivof1GFS7Dat2/PrFmzoh2GiIiUIDMr0/eI0f8iEZGKr6D/ReoiKCIiIiIiUkyUYImIiIiIiBQTJVgiIiIiIiLFRAmWiIhIMTGzEWb29I4dO6IdioiIRIkSLBERkWLi7tPcfWz9+vWjHYqIiESJEiwREREREZFiogRLRERERESkmCjBEhGRUrE3M5uH3l/Grn1Z0Q5FREQqkewcZ8OOPcxMSOWNuUn86+OV7MnILrH9VbgbDYuISNmTnePcNGke7y3ayMC2DTm+R/NohyQiIhWEu5OyO4N1qekkpqaTtG0PianpJG4L/l6/fQ+Z2f6zdU7p05JOTeuWSDxKsEREpES5O3e9tYj3Fm3krlN7KLkSEZEDlpPjbNy5l4SU3axLSSchJZ11qbtJ2JrOutT0X/SOaFK3Om0a1qZ36/qc0rslbRrWok3D2rRpWIvWDWpRs1pMicWqBEtERErUox+t4OXv13H10Z247Fcdoh1OiTKzEcCIzp07RzsUEZFyaceeTFZv2cXqzbtYvWU3a7bsYs3W3axLTScjK+fH5apWMdo2qk3bxrUZ3KER7RrXpl3j2sQ1rE2bhrWpVb3kEqj9UYIlIiIlZsI3CTz+ySpGxcfx+5O6RTucEufu04Bp8fHxV0Q7FhGRssrdSd6+h+Ub01izZTert+xizZbdrNm6i627Mn5crlqM0a5xHTo2qcNx3ZvRtnFt2jWqQ7vGtWlZvyZVY8rmdBJKsEREpERMnb+ee6ct5oQezXng9F6YWbRDEhGRUpaekcWKTbtYumEnyzbsZOmGNJZu3Ena3p+69DWuU52OTetwbPdmdGxal85N69KpWV3iGtYqs0lUYZRgiYhIsftixRZ+N3keg9o14l/n9i+X/yBFRKToclullqzfyZINO1m2IY1lG3eyNjUdD+eXqFM9hu4t6zGyXysOa1mP7i1i6dS0Lg1qV49u8MVMCZaIiBSrOeu2ceULs+ncLJb/jYkv0YHEIiJS+tydtSnpzE/azvzEHSzZsIMl63eyM2yVMoP2jetwWMt6nN6/Dd1bxtK9RSxxDWtTpUrF782gBEtERIrNik1pXPrcTJrVq8GESwdRv1a1aIckIiKHaPe+LOau287MhFTmJW5nftJ2tqdnAlCzWhW6t6jHqX1b0aNlPXq0ClqmalevvGnGfo/czGoCXwA1wuVfc/d7zKwDMBFoDMwGLnT3DDOrATwPDARSgFHunhBu63bgMiAbuN7dPwjLhwOPATHAM+7+YFie7z6K6dhFRKQYJaamc+G476keU4UXLxtCs9ia0Q5JREQOwrbdGcxMSGVmQiozEraxKHkH2TmOGXRtFstJPVrQN64B/eIa0LV5XXUDz6MoqeU+4Fh332Vm1YCvzOw94GbgUXefaGZPESRO/wl/b3P3zmY2GngIGGVmPYDRQE+gFTDdzLqG+3gSOAFIAmaa2VR3XxKum98+RESkDNm6ax8XjZ/BnoxsJl81jLhGtaMdkoiIFNGGHXuY8UMqM34IkqoVm3YBUD2mCv3iGnDVrzsyqH0jBrZrSGxN9UzYn/0mWO7uwK7wYbXwx4FjgfPC8gnAvQTJz8jwb4DXgCcsmDpqJDDR3fcBP5jZKmBwuNwqd18DYGYTgZFmtrSQfYiISBmRtjeTMeNnsGHHHl66fAjdW9SLdkgiIlKI5O17+G51Ct//kMJ3a1JZl5oOQN0aVRnQriG/7duKQe0b0TeugcbRHoQidY40sxiCLnqdCVqbVgPb3T13fsUkoHX4d2sgEcDds8xsB0EXv9bAdxGbjVwnMU/5kHCdgvaRN76xwFiAtm3bFuWQRESkGGRm53D1S3NYtjGNZ8bEM7Bdo2iHFFW60bCIlEWb0/by7eoUvlmVwjdrtpKYugeA+rWqMaRDI8Yc3p4hHRrRvUWsuvsVgyIlWO6eDfQzswbAG0D3Eo3qALn708DTAPHx8R7lcEREKgV35843FvHlyq387cw+HNOtWbRDijrdaFhEyoK9mdl8uyaFz5dv4etVW1m5OeiMVq9mVYZ2bMylR3RgaMfGdGseWylm9SttBzS9h7tvN7NPgWFAAzOrGrYwtQGSw8WSgTggycyqAvUJJrvILc8VuU5+5SmF7ENERKLsyU9XMWlWItcd25lzBsXtfwURESkxianpfLZ8M58s28w3q1PYl5VDzWpVGNyhMWcObMMRnZrQo1U9YpRQlbiizCLYFMgMk6taBJNRPAR8CpxFMMvfGOCtcJWp4eNvw/pP3N3NbCrwspk9QjDJRRdgBmBAl3DGwGSCiTDOC9cpaB8iIhJFb8xN4h8fruCM/q25+YSu+19BRESKVWZ2DrMStvHp8s18umzzj61U7RrX5tzBbTmmezOGdGikMVRRUJQWrJbAhHAcVhVgsru/bWZLgIlmdj8wFxgXLj8OeCGcxCKVIGHC3Reb2WRgCZAFXBN2PcTMrgU+IJimfby7Lw63dVsB+xARkSj5ZvVWbn1tAcM6NubBM/sQzGMkIiIlLWXXPj5bvoVPlm3mixVbSNuXRbUYY0iHxowaFMex3ZvRoUkdfS5HWVFmEVwA9M+nfA0/zQIYWb4XOLuAbT0APJBP+bvAu0Xdh4iIRMfyjWlc+cJs2jeuw1MXDqR6VQ2GFhEpKe7O8k1pfLx0Mx8v3cTcxO24Q7PYGvymT0uO7taMX3VpQt0alfemvmWRng0RESmS5O17GDN+BrWqxfDsJYOoX0v3QhERKW7uzrKNaby7cAPvLNjAmq27AejTpj43HNeF4w9rTs9W9dRKVYYpwRIRkf3atjuDi8Z9z+6MLF69ahhtGupGwiIixWnNll28OTeZtxduYM2W3VQxGNapMZcd2YHjD2tO83o1ox2iFJESLBERKVR6RhaXTphJ4rY9vHDpYN1IWESkmKTuzuDtBet5fU4y8xO3YwZDOwTTqA/v1YImdWtEO0Q5CEqwRESkQJnZOVz78lzmJ27nPxcMZEjHxtEOSUSkXNubmc0nyzYzZU4yny3fTFaO071FLHec0p2R/VqrpaoCUIIlIiL5cndun7KQT5Zt5i+n9+akni2iHZKISLmUk+N890MKb85N5r2FG0nbl0Wz2BpcckR7Tu/fhh6t1DOgIlGCJSIi+frXJ6t4bXYSNx7fhfOGtI12OCIi5UpWdg4zElL5cPEm3l+0kY0791K3RlWG92rBaf1aM6xTY930t4JSgiUiIr/w3sINPPLRCs4Y0JobjusS7XCiysyOBu4DFgMT3f2zqAYkImXW3sxsvl61lQ8Wb+SjJZvYlp5JjapVOKprU/7Y9zCOP6w5tarrxr8VnRIsERH5mUXJO7hp8jwGtG3AX07vXSGnAjaz8cCpwGZ37xVRPhx4jODG98+4+4OAA7uAmkBSFMIVkTIsZdc+Pl62melLNvHlyq3sycwmtkZVjjusGSf1bMGvuzWldnV95a5M9GyLiMiPNu/cy+UTZtG4Tg3+e2E8NatV2CutzwFPAM/nFphZDPAkcAJBIjXTzKYCX7r752bWHHgEOL/0wxWRsiIrO4f5Sdv5amUKX6zcwpx123CHlvVrctbANhzfoznDOjbWjdgrMSVYIiICBF1brnhhNjv3ZvLaVYfTNLbiTg/s7l+YWfs8xYOBVe6+BsDMJgIj3X1JWL8NKPCkmNlYYCxA27YasyZSkazfvoePl27ii5Vb+W51Cmn7sjCDXq3qc/2xXTihh27+Kz9RgiUiIrg7t762gPmJ2/nvhQMr64xWrYHEiMdJwBAzOwM4CWhA0OqVL3d/GngaID4+3kswThEpYe7Oqs27+HDJJj5YvJEFSTsAiGtUi1P7tuJXnZtweKfGNKxTPcqRSlmkBEtERHjkoxVMnb+e35/UTdOx5+HuU4ApRVnWzEYAIzp37lyyQYlIsXN3Fq/fybsLN/D+oo2s2bobgP5tG3Db8O6c2LM5nZrWjXKUUh4owRIRqeQmzljHvz5Zxaj4OK4+ulO0w4mmZCAu4jM0G5cAACAASURBVHGbsKzI3H0aMC0+Pv6K4gxMREqGuzMvcTvvLdrIe4s2kJi6h5gqxrCOjbnkVx04sUdz3fhXDpgSLBGRSuzT5Zv545uLOKprU+4/vVdlHz8wE+hiZh0IEqvRwHnRDUlESsLalN28MTeZN+cmk5CSTrUY44jOTbjumGA8lbr+yaFQgiUiUkktSt7BNS/NoVvzWP59/gCqxVSeGa/M7BXgaKCJmSUB97j7ODO7FviAYJr28e6++AC3qy6CImXUjvRM3l64nilzkpm9dhtmMLRDY64+pjMn9WxB/VrVoh2iVBBKsEREKqHE1HQueW4mDWtX59lLBlG3RuX6d+Du5xZQ/i7w7iFsV10ERcqQzOwcvlixhdfnJDF9yWYysnPo2rwutw3vzsh+rWjVoFa0Q5QKqHL9RxUREXbuzeSS52ayNzObly4fovEFIlLhrNiUxqSZibw1L5mtuzJoVKc65w9ty5kD2mg6dSlxSrBERCoRd+fWVxfww9bdvHDZYLo2j412SBWKugiKRE96RhZvL9jAxBnrmLNuO9VijOO6N+fMgW04ulvTStUNWqJLCZaISCUy/usE3l+8kTtO6c7hnZpEO5wKR10ERUpXTo4zZ9023pibzNR560nbl0XHpnX44ymHccaA1jSuW3FvmC5llxIsEZFKYvbabfz13aWc0KM5VxzZMdrhiIgctGUbd/LWvPVMnbee5O17qFG1Cr/p3ZLRg9syqH1DdQGUqFKCJSJSCaTuzuDal+fQskFN/nF2X335KCHqIihScnbty+KNOUm89P06lm1MI6aKcWSXJvzuxK6c2LNFpZusR8ouvRJFRCq4nBznxknzSNmVwev/d7imIi5B6iIoUvxWbU7j+W/XMmVOMrv2ZdG7dX3uG9mTU3q3VBdAKZP2m2CZWRzwPNAccOBpd3/MzO4FrgC2hIveEU5vi5ndDlwGZAPXu/sHYflw4DGC+4s84+4PhuUdgIlAY2A2cKG7Z5hZjXDfA4EUYJS7JxTDcYuIVBpPfLqKL1Zs4f7TetG7Tf1ohyMiUiTfrUnhiU9W8dWqrVSPqcKpfVpy4bB29ItroFZ4KdOK0oKVBfzO3eeYWSww28w+Cusedfd/RC5sZj2A0UBPoBUw3cy6htVPAicAScBMM5vq7kuAh8JtTTSzpwiSs/+Ev7e5e2czGx0uN+pQDlhEpDL5fMUW/jl9BSP7teL8IW2jHY6IyH59vyaFR6ev4Ls1qTSNrcHvT+rGqEFxNFFrlZQT+02w3H0DsCH8O83MlgKtC1llJDDR3fcBP5jZKmBwWLfK3dcAmNlEYGS4vWOB88JlJgD3EiRYI8O/AV4DnjAzc3cv8hGKiFRSCVt3c93Lc+jaPJa/nN5bV3xLgcZgiRwcd2fGD6n8c/pKvl2TQtPYGtx9ag/OG9KWmtVioh2eyAE5oDFYZtYe6A98DxwBXGtmFwGzCFq5thEkX99FrJbETwlZYp7yIQTdAre7e1Y+y7fOXcfds8xsR7j81jxxjQXGArRtqyu0IiK79mVxxfOziKli/O+ieOpo8Hep0BgskQOzJyObqfOTmfDNWpZs2KnESiqEIv/HNbO6wOvAje6+08z+A9xHMC7rPuBh4NISiXI/3P1p4GmA+Ph4tW6JSKWWk+PcNGkea7bu5oVLBxPXqHa0QxIR+Zl1Kem88F0Ck2clsWNPJt1bxPLA6b04c0AbJVZS7hUpwTKzagTJ1UvuPgXA3TdF1P8PeDt8mAzERazeJiyjgPIUoIGZVQ1bsSKXz91WkplVBeqHy4uISAH++fFKPlqyiXtG9ODwzrqZsIiUHZnZOTz56Sqe+GQVDgzv2YKLhrVjcIdG6sYsFUZRZhE0YByw1N0fiShvGY7PAjgdWBT+PRV42cweIZjkogswAzCgSzhjYDLBRBjnubub2afAWQQzCY4B3orY1hjg27D+E42/EhEp2PuLNvD4xys5e2AbLj68fbTDERH50fKNafzu1XksSt7JyH6tuP3kw2hRv2a0wxIpdkVpwToCuBBYaGbzwrI7gHPNrB9BF8EE4EoAd19sZpOBJQQzEF7j7tkAZnYt8AHBNO3j3X1xuL3bgIlmdj8wlyChI/z9QjhRRipBUiYiIvlYvjGNmyfPp19cA+4/vZeuBkeBJrkQ+aWs7Bye/nIN//xoJbE1q/LUBQMY3qtltMMSKTFW0RqE4uPjfdasWdEOQ0SkVG1Pz+C3T3zN3sxspl33K5rXq9hXhc1strvHRzuOguh/kUhg6Yad3D5lIfMSt3Nyrxbcf1ov3RxYKoyC/hdpWikRkXIuKzuH616Zy8Yde5l45dAKn1yJSNmXnpHFP6evZNxXP1C/VjUeG92P3/ZtpZZ1qRSUYImIlHN//2A5X67cyoNn9GZA24bRDkdEKrmPlmzi3qmLSd6+h9GD4rhteHca1qke7bBESo0SLBGRcuytecn894s1XDi0HaMH6z6AIhI9SdvS+dO0JXy0ZBPdmsfy2lXDiG/fKNphiZQ6JVgiIuXUouQd3Pb6Aga3b8Rdp/aIdjgiUknty8rmmS9/4F+frMQwbhvencuP7EC1mCrRDk0kKpRgiYiUQ9t2Z3DlC7NpWLs6/75gANWr6ouMiJS+L1Zs4Z6pi/lh625O7tWCO0/tQesGtaIdlkhUKcESESln3J1bXp3PlrR9vPZ/w2iiGbnKDE3TLpVF0rZ0HnhnKe8t2kiHJnWYcOlgft21abTDEikTlGCJiJQz4776gY+XbebeET3o06ZBtMORCO4+DZgWHx9/RbRjESkJezKyeerz1Tz1+WrM4JYTu3LFUR2pUTUm2qGJlBlKsEREypH5idt56P1lnNijOWMObx/tcESkknB33lu0kQfeWUry9j2c2qclt59ymLoDiuRDCZaISDmxc28m174yh2axNfnbWX10PxkRKRUJW3dzxxsL+WZ1Ct1bxDJx7FCGdmwc7bBEyiwlWCIi5YC784fXF7B++14mXzmMBrV1TxkRKVnZOc5z3yTw9w+WUS2mCveN7Mm5g9tSVbMDihRKCZaISDnw0vfreHfhRm4b3p2B7XQzYREpWau37OLW1xYwe+02ju3ejL+c3psW9WtGOyyRckEJlohIGbdiUxp/fnsJR3VtypVHdYx2OCJSgWVl5zDuqx945KMV1KwWwyPn9OX0/q3VJVnkACjBEhEpwzKycrhx4jxia1Tl4bP7UqWKvuSISMmYl7idO6YsZMmGnZzYozn3n9aLZvXUaiVyoJRgiYiUYf+cvoIlG3byv4viaRqr+12VdboPlpRHaXsz+ccHy3n+u7U0i63BUxcM4KSeLdRqJXKQlGCJiJRRsxJSeerz1YyKj+OEHs2jHY4Uge6DJeXN+4s2cM/UxWxO28eYYe353Yldia1ZLdphiZRrSrBERMqgXfuyuHnyfFo3rMVdI3pEOxwRqWBSdu3j7rcW887CDfRoWY+nL4ynb5xuXC5SHJRgiYiUQQ+8s4TEbelMvnIYdWvoo1pEis87CzZw11uL2LU3i9+f1I0rj+qoqddFipH+a4uIlDEfL93EKzMSuerXnRjUvlG0wxGRCiKy1apPm/r8/ay+dGsRG+2wRCocJVgiImXI1l37uO31hRzWsh43ndAl2uGISAXg7ryzcAN3v7VYrVYipUAJlohIGZGT49w8eT5pezN56fIh1KgaE+2QRKSc25K2j7veXMT7izeq1UqklCjBEhEpI575ag1frNjCA6f30hcgETkk7s7U+eu5Z+pi0jOyuW14d644soNarURKgRIsEZEyYF7idv72/nJO7tWC8wa3jXY4IlKOJaam86dpi5m+dDP92zbg72f1oXMzXbQRKS37vYxhZnFm9qmZLTGzxWZ2Q1jeyMw+MrOV4e+GYbmZ2eNmtsrMFpjZgIhtjQmXX2lmYyLKB5rZwnCdxy28s11B+xARqUh27s3kulfm0LxeTR48o49u7ikiB2X3viz+/sEyjnvkc75elcIdp3TntasOV3IlUsqK0k6cBfzO3XsAQ4FrzKwH8AfgY3fvAnwcPgY4GegS/owF/gNBsgTcAwwBBgP3RCRM/wGuiFhveFhe0D5ERCoEd+f2KQtZv30vj5/bn/q1dYNPETkw7s6bc5M59uHPePLT1ZzSqwWf3nI0Y4/qREwVXbARKW377SLo7huADeHfaWa2FGgNjASODhebAHwG3BaWP+/uDnxnZg3MrGW47EfungpgZh8Bw83sM6Ceu38Xlj8PnAa8V8g+REQqhEkzE3lnwQZ+f1I3BrZTI72IHJh1Ken87tV5zEzYRp829fn3+QMY2E63dxCJpgMag2Vm7YH+wPdA8zD5AtgINA//bg0kRqyWFJYVVp6UTzmF7CNvXGMJWsto21ZjF0SkfFixKY17py3mV52b8H+/7hTtcESknHljbhJ3vbkYM/jbmX04a2AbqqjFSiTqijyVjJnVBV4HbnT3nZF1YWuVF3NsP1PYPtz9aXePd/f4pk2blmQYIiLFIj0ji6tfmkPdGtV4ZFRffSkq48ysjpnNMrNTox2LSNreTG6aNI+bJs2ne4tY3rvhSM4ZFKfPEZEyokgJlplVI0iuXnL3KWHxprDrH+HvzWF5MhAXsXqbsKyw8jb5lBe2DxGRcu3utxazessuHhvdj2axNaMdTqVjZuPNbLOZLcpTPtzMloeTLkWO+70NmFy6UYr80tx12/jN41/x1rxkbjy+CxPHDqVNw9rRDktEIhRlFkEDxgFL3f2RiKqpQO5MgGOAtyLKLwpnExwK7Ai7+X0AnGhmDcPJLU4EPgjrdprZ0HBfF+XZVn77EBEpt16bncRrs5O47pjOHNG5SbTDqaye46cJlQAwsxjgSYLJmnoA55pZDzM7AViCLvJJFGVm5/DoRys466lvyc5xJl85jBuP76r7WomUQUUZg3UEcCGw0MzmhWV3AA8Ck83sMmAtcE5Y9y5wCrAKSAcuAXD3VDO7D5gZLvfn3AkvgKsJ/tnVIpjc4r2wvKB9iIiUSys3pXHXm4sY2rERNxzfNdrhVFru/kU4rjjSYGCVu68BMLOJBJMt1QXqECRde8zsXXfPybtNjQeWkrJq8y5unjyPBUk7OL1/a+79bU/q19KMoyJlVVFmEfwKKKhT73H5LO/ANQVsazwwPp/yWUCvfMpT8tuHiEh5tCcjm2tenkPt6jE8Nrq/pk8ue/KbjGmIu18LYGYXA1vzS64gGA8MPA0QHx9fouOSpXLIyXEmfJvAg+8to3b1GP59/gBO6d0y2mGJyH4c0CyCIiJy8O6dupiVm3cx4ZLBNK+ncVfljbs/t79lzGwEMKJz584lH5BUaOtS0rn9jQV8vSqFY7s348EzetNMnxsi5YISLBGRUjBlThKTZiVyzTGdOKqrZjstowqajKnI3H0aMC0+Pv6K4gxMKo/sHOfZr3/g4Q9XEFPF+OsZvRk9KI5gmLqIlAdKsEREStjKTWn88Y1FDOnQiJs07qosmwl0MbMOBInVaOC86IYklcmyjTu57bUFzE/awXHdm3H/6b1oWb9WtMMSkQOkBEtEpATl3u+qdvUYHj+3v2b8KiPM7BXgaKCJmSUB97j7ODO7lmDW2xhgvLsvPsDtqougHLCs7Bwe/2QV//50FfVrVePxc/szok9LtVqJlFNKsEREStBdby5m1ZZdvHDpEI27KkPc/dwCyt8lmA33YLerLoJyQNZv38P1r8xl1tptnNavFXeP6EmjOtWjHZaIHAIlWCIiJWTyrERen5PEDcd14VdddL8rEfm56Us2cctr88nMyuGx0f0Y2a91tEMSkWKgBEtEpAQs27iTu99axBGdG3P9cV2iHY6UEnURlKLIyMrhofeXMe6rH+jZqh5PnDeADk3qRDssESkmGgwgIlLMdu8Lxl3F1qzGP0fpfleVibtPc/ex9evXj3YoUkatTdnN2U99w7ivfuDiw9sz5erDlVyJVDBqwRIRKWZ/nraEH7bu5qXLh9A0tka0wxGRMmLKnCTuenMRVWOq8NQFAxneq0W0QxKREqAES0SkGL2zYAOTZiVy7TGdObyTxl1VNuoiKPlJ25vJXW8u4s156xncoRH/HNWPVg00/bpIRaUugiIixSRpWzp/mLKAfnENuOF4jbuqjNRFUPKau24bv3n8K6Yt2MDNJ3TllSuGKrkSqeDUgiUiUgyyc5ybJs3DHR4f3Z9qut+VSKW2ddc+Hv5wORNnJtKqfi0mXzmUge0aRTssESkFSrBERIrBE5+sYmbCNh4d1Ze2jWtHOxwRiZKMrBwmfJPA4x+vZE9mNpcd0YHrj+9CvZrVoh2aiJQSJVgiIodoVkIqj328gtP6teL0/m2iHY5EkcZgVW6fLNvEfW8v5YetuzmmW1PuPLUHnZrWjXZYIlLKlGCJiByCHemZ3DBxHq0b1uLPp/WKdjgSZe4+DZgWHx9/RbRjkdKzessu7nt7CZ8t30LHpnV49uJBHNO9WbTDEpEoUYIlInKQcnKc3706j0079zL5qmHqAiRSyezcm8m/Pl7Js18nUKtaDHf+5jAuGtae6lU1BlOkMlOCJSJykJ7+cg3Tl27m7lN7MKBtw2iHIyKlxN15fU4yD763lJTdGZwzMI5bTuqm+96JCKAES0TkoHy/JoW/f7CcU3q34JIj2kc7HBEpJVvS9nH7lAVMX7qZAW0b8OzFg+ndRtPyi8hPlGCJiBygzWl7ufaVubRtVJuHzuyDmUU7JCkjNMlFxfbB4o3cMWUhafuyuPvUHlx8eHuqVNH7X0R+TgmWiMgByMrO4YZX5pG2N5MXLhtMrMZdSQRNclExpe3N5L63lzB5VhI9W9Vj4qh+dGkeG+2wRKSMUoIlInIAHp2+gm/XpPCPs/vSvUW9aIcjIiVsS9o+Rv33WxJSdnPtMZ25/rgumsRCRAqlBEtEpIg+XLyRJz9dzaj4OM4aqPtdiVR0O/ZkctH4GWzYsZeXrxjK0I6Nox2SiJQD+70EY2bjzWyzmS2KKLvXzJLNbF74c0pE3e1mtsrMlpvZSRHlw8OyVWb2h4jyDmb2fVg+ycyqh+U1wserwvr2xXXQIiIHatXmXdw8eT592tTnTyN7RjscESlhezOzuWLCLFZtTuOpCwcquRKRIitKG/dzwPB8yh91937hz7sAZtYDGA30DNf5t5nFmFkM8CRwMtADODdcFuChcFudgW3AZWH5ZcC2sPzRcDkRkVK3c28mY5+fRc1qVXjqgoHUrBYT7ZBEpARlZedw7ctzmLk2lYfP6cevuzaNdkgiUo7sN8Fy9y+A1CJubyQw0d33ufsPwCpgcPizyt3XuHsGMBEYacHUW8cCr4XrTwBOi9jWhPDv14DjTFN1iUgpy8lxbp40j3Wp6Tx53gBaNagV7ZCkDDOzEWb29I4dO6IdihyknBznttcXMn3pZv782578tm+raIckIuXMoYzSvNbMFoRdCHPvsNkaSIxYJiksK6i8MbDd3bPylP9sW2H9jnD5XzCzsWY2y8xmbdmy5RAOSUTk5x77eCXTl27mrlN7MERdhGQ/3H2au4+tX1/3RSqPsnOcP7+9hNfnJHHT8V25cFj7aIckIuXQwSZY/wE6Af2ADcDDxRbRQXD3p9093t3jmzZVM76IFI8PF2/ksY9XcuaANlw0rF20wxGREpSyax8XPzuD575J4NIjOnD9cbqXmYgcnIOaRdDdN+X+bWb/A94OHyYDcRGLtgnLKKA8BWhgZlXDVqrI5XO3lWRmVYH64fIiIiVuzZafJrV44PReupmwSAU2e20q17w0l9T0DB46szfnxMfpPS8iB+2gWrDMrGXEw9OB3BkGpwKjwxkAOwBdgBnATKBLOGNgdYKJMKa6uwOfAmeF648B3orY1pjw77OAT8LlRURK1J6MbK5+aQ7VYoz/aFILkQrL3XnmyzWM+u93VK9ahSn/dzijBrVVciUih2S/LVhm9gpwNNDEzJKAe4Cjzawf4EACcCWAuy82s8nAEiALuMbds8PtXAt8AMQA4919cbiL24CJZnY/MBcYF5aPA14ws1UEk2yMPuSjFREpgrvfWsTyTWk8e/EgWmtSC5EKKTM7h5snz2fa/PWc0KM5/zi7L/VrVYt2WCJSAew3wXL3c/MpHpdPWe7yDwAP5FP+LvBuPuVrCGYZzFu+Fzh7f/GJiBSnyTMTeXV2Etcf25mjuzWLdjgiUgJycpxbX1vAtPnr+f1J3bj66E5qtRKRYnNQY7BERCqiJet3ctdbiziic2NuOL5rtMMRkRLg7vxp2mLemJvMLSd25ZpjNJmFiBSvQ5mmXUSkwti5N5OrX5pNg9rVeGx0f2Kq6Gq2SEX06EcrmPDtWq44soOSKxEpEUqwRKTSc3f+8PoCErft4YnzBtCkbo1ohyTllG40XLY98+UaHv9kFaPi47jjlMPULVBESoQSLBGp9J79OoF3F27k1pO6Mah9o2iHI+WYbjRcdk2csY7731nKb3q35C9n9FZyJSIlRmOwRKRSm7NuG395dykn9GjO2KM6RjscESlm2TnO3z9YzlOfr+aork15dFQ/dQEWkRKlBEtEKq1tuzO49qU5tKhfk3+c1VdXtEUqmG27M7h+4ly+XLmVC4a25e5Te1K9qjrviEjJUoIlIpVSTo5z8+R5bN2VwWv/N4z6tXX/G5GKZMn6nVz54iw27djHQ2f2ZtSgttEOSUQqCSVYIlIp/efz1Xy6fAv3jexJnzYNoh2OiBSjqfPXc+tr82lQqzqTrhxK/7YNox2SiFQiSrBEpNL5bk0KD3+4nBF9W3HB0HbRDkdEiom78/jHq3h0+goGtW/Ik+cPoFlszWiHJSKVjBIsEalUNuzYw3WvzKV9kzr8VTOJiVQY+7Kyuf31hUyZm8yZA9rw1zN6a7yViESFEiwRqTTSM7K4fMIs9mRk8+JlQ6hbQx+BIhXB9vQMxr4wmxk/pPK7E7py7bGddfFERKJG3y5EpFLIyXFunjSfpRt2Mm7MILq1iI12SCJSDBK27ubS52aStG0Pj43ux8h+raMdkohUckqwRKRS+MeHy3l/8UbuOrUHx3RvFu1wRKQYzFm3jcsnzMLdeemKIbpRuIiUCUqwRKTCe312Ev/+bDXnDm7LpUe0j3Y4IlIMPly8kesnzqV5vZo8d8lgOjSpE+2QREQAJVgiUsHNTEjl9ikLObxTY/48sqfGZcgBM7PDgBuAJsDH7v6fKIdU6T3/bQL3Tl1M7zYNGD8mnsZ1a0Q7JBGRH2l6HRGpsJZt3MmVL8ymdcNa/Pv8AVSL0UeeBMxsvJltNrNFecqHm9lyM1tlZn8AcPel7n4VcA5wRDTilUBOjvPge8u4+63FHNu9Ga9cMUTJlYiUOfq2ISIV0pL1Ozn36e+oFmOMv3gQDWpXj3ZIUrY8BwyPLDCzGOBJ4GSgB3CumfUI634LvAO8W7phSq7M7BxunjyPpz5fzflD2vLUBQOpXV0dcUSk7FGCJSIVzqLkHZz3zHfUqhbDpLHDNDZDfsHdvwBS8xQPBla5+xp3zwAmAiPD5ae6+8nA+aUbqQDsychm7POzeHPeen5/UjfuP60XVdUiLSJllC79iEiFMj9xOxeO+57YmtWYOHYocY1qRzskKT9aA4kRj5OAIWZ2NHAGUINCWrDMbCwwFqBt27YlF2Uls2NPJpdPmMmstdv4y+m9OW+Izq2IlG1KsESkwpizbhtjxs2gYZ3qvHzFENo0VHIlh87dPwM+K8JyTwNPA8THx3vJRlU5bEnbx5jxM1i5OY3HR/dnRN9W0Q5JRGS/lGCJSIXwxYot/N+Ls2kaW4OXrxhKqwa1oh2SlD/JQFzE4zZhWZGZ2QhgROfOnYszrkopaVs6F46bwYYde/jfRfEc3U33rxOR8mG/HZjzm2nJzBqZ2UdmtjL83TAsNzN7PJx9aYGZDYhYZ0y4/EozGxNRPtDMFobrPG7hHMoF7UNEJK/JsxK55LmZtG1ch0lXDlNyJQdrJtDFzDqYWXVgNDD1QDbg7tPcfWz9+vX/n707j4+quv8//vpkIwQIYV/DIquAghABl6p1Ratita6tS7W1Vm1rW2vXX23dajfbb6utdau4Im51qRt1qVpll0U2ZYewE5IAIet8fn/cGxhCEhIyYSbJ+/l4zCMz555753NmJvfMZ+655zZKgC3FhoLdXPyPaWzdWcIT14xTciUiTUpdzhB9lCozLQE/IbgWyCDg7fAxBDMvDQpv1wJ/hyBZAm4FxhGcRHxrVML0d+CbUetNOMBziIgA4O78aepn3PLcfI4d0Ikp3xpPt8z0eIclTYCZPQ18DAwxs3Vmdo27lwM3Am8Ci4Ep7r4wnnG2RHm7Srn84RkU7C7jqW+MJ6dfx3iHJCJSLwccIuju75tZvyrFE4GTwvuTCMam/zgsf8zdHZhmZllm1iOsO9Xd8wDMbCowwczeAzLdfVpY/hhwHvB6Lc8hIkJZRYSfvbCAZ2ev48Ixvbnr/CN0nSupM3e/tIby12jAVOwaItgwO0vK+fo/Z7Amr4jHrh7LEb11JFBEmp6D/TbSzd03hPc3At3C+9XNwNTrAOXrqimv7TlEpIXbtrOEqx+dybOz13HTqYP43VeOVHIlCUFDBA9eSXkF1z0+m0/XF3LfZaMZf1ineIckInJQGjzJhbu7mTXqbEkHeg5NjSvScnzw+RZ+MGUeBUVl/O4rR3JRTvaBVxKRhFYRcb7/zFw+XLaVP1w4ktOG6TdVEWm6DvYn303h0D/Cv5vD8ppmYKqtvHc15bU9x37c/QF3z3H3nC5duhxkk0QkkZWWR/jNa4u5/OEZtG+dyks3HqfkShKOmZ1jZg8UFBTEO5Qmw9355Uuf8tqCjfziS4fzlTG9D7ySiEgCO9gE62WgcibAK4GXosqvCGcTHA8UhMP83gRON7MO4eQWpwNvhssKzWx8OHvgFVW2Vd1ziEgLs2rrLr5y/0f84/0VljBZQQAAIABJREFUXDq2D6/ceDyH98iMd1gi+9EQwfp7asYanpy+hm+deBjf+MJh8Q5HRKTBDjhEMJxp6SSgs5mtI5gN8G5gipldA6wGLgqrvwacBSwDioCvA7h7npndTjAFLsBtlRNeANcTzFTYmmByi9fD8pqeQ0RakDc+3cjNz84jOcm4/2ujmTCiR7xDEpEYmb16O796eSEnDu7CLWcMjXc4IiIxUZdZBKudaQk4pZq6DtxQw3YeAR6ppnwWMKKa8m3VPYeItAwVEeeeqUu5793ljMzO4u9fHa3rW0nC0yyCdbd5RzHXPzmbHu1b85dLjiI5yeIdkohITGjaLRFJOPlFpVz96Ezue3c5lxydzZRvjVdyJU2ChgjWTVlFhBuf/ITC3eX84/IxtM9IjXdIIiIx0+BZBEVEYmnxhkK+9fhsNhTs5q4vH8Fl4zQzqEhzc+e/FzNjVR5/ufQonU8pIs2OEiwRSRgvzFnHz15cQPvWqUy+9hjG9O0Q75BEJMYmz1jDox+t4hvH9+fckT3jHY6ISMwpwRKRuCsuq+DXryzi6RlrGNe/I3+97Ci6tkuPd1gi9aZzsGr2aW4Bd7++hA+XbeXYAZ34yZma1EJEmiclWCISV2u2FfHtJ2ezcH0h3z5pAD88bTApyTo9VJomd38FeCUnJ+eb8Y4lUazNK+IPby3lpbnr6ZCRyv87exhfG99H/+ci0mwpwRKRuPnPok38YMpcHHjwihxOG9Yt3iGJSIyUVUS4Z+pnPPTBCpKTjBu+OIBvnTiAzHRNaCEizZsSLBE55Coizp//8xl/fWcZI3pl8rfLxtCnU0a8wxKRGNm8o5gbn/qEGSvzuGB0b350xhC6t9ewXxFpGZRgicghlV9Uyncnz+X9z7Zw4Zje3H7eCNJTk+MdlojEyOzVeVz/5BwKdpfx54tHcd5RveIdkojIIaUES0QOmYXrC7juidlsLCjmzi+P4LKxfTDTxUWl+WjJk1y4O49PW83try6iZ1ZrHv36WE3BLiItkhIsETkkXpizjp++sIAOGWlM+dYxHNVHU7BL89NSJ7koLqvgZy8u4IU5uZwytCv3XDyK9q11rpWItExKsESkURWVlnPrSwt5dvY6xvXvyL2XjaZLu1bxDktEYmR9/m6+9fhsFuQW8P1TB/OdkweSlKQj0yLScinBEpFGs3TjDm54ag7Lt+zkxi8O5KZTB2lqZpFmZMbKPK5/cjbFZREeuiKHUzUTqIiIEiwRiT135+kZa/n1Kwtpl57K41eP4/hBneMdlojEiLvzxPQ1/PrlhfTpmMHka3MY2LVtvMMSEUkISrBEJKYKdpfx8xcX8Or8DXxhUGfuuWiUhgSKNCOl5RFufXkhT89Yw8lDu/LnS0bp2lYiIlGUYIlIzMxencd3n57LxsJibpkwhOtOGKBzMaRFae6zCOYXlfLtJ+bw8YptXH/SAH54+hCS9T8uIrIPJVgi0mAVEedv7y7jz29/Ts+sdJ67TrMESsvUnGcRXLFlJ9dMmkXu9t3cc9FIzh/dO94hiYgkJCVYItIgGwp2c9PkuUxfmcfEUT2547wRtNNwIZFm5aPlW/n2E3NITjKe+uY4cvp1jHdIIiIJSwmWiByU8ooIj09bzT1TP6Mi4vzxwpGcP7qXLhws0sw8O2stP31hAf07t+GRq44mu2NGvEMSEUloSrBEpN4+Xr6NX728kKWbdvCFQZ25feII+nVuE++wRCTGXvxkHT96bj5fGNSZ+746WpNZiIjUgRIsEamzDQW7ufPfi3l1/gZ6d2jNPy4fw+nDuumolUgzNHXRJm5+dj7HHNaJB6/IIT01Od4hiYg0CUqwROSAIhHnsY9X8bs3l1IRcW46dRDXnThAX7hEmqmPlm3lhqfmMKJXex68UsmViEh9KMESkVot27yDHz+/gNmrt3PC4C7ced4InYMh0ox9smY733hsFv07tWHS14+mbSt9VRARqY+khqxsZqvMbIGZzTWzWWFZRzObamafh387hOVmZn8xs2VmNt/MRkdt58qw/udmdmVU+Zhw+8vCdTUOSeQQKauIcO87n3PW/33I8i07+eOFI5n0dZ3gLtKcLdlYyFX/nEmXdq14/JqxZGWkxTskEZEmp0EJVuiL7j7K3XPCxz8B3nb3QcDb4WOAM4FB4e1a4O8QJGTArcA4YCxwa2VSFtb5ZtR6E2IQr4gcwNKNO5h47//4w1ufcdrwbkz9/olcMKa3zrUSOQAzO8fMHigoKIh3KPW2fVcpV/9zJq1Tk3nimnF0zUyPd0giIk1SLBKsqiYCk8L7k4Dzosof88A0IMvMegBnAFPdPc/dtwNTgQnhskx3n+buDjwWtS0RaQSRiPPQBys4594P2byjmH9cPob7LhtNl3at4h2aSJPg7q+4+7Xt27ePdyj14u7c/Ow8tu4s5cErcnSkWkSkARo6sNqBt8zMgX+4+wNAN3ffEC7fCHQL7/cC1katuy4sq618XTXlItII1ufv5uZn5/HR8m2ceng37r7gCDq3VWIl0hI8/OFK3l6ymV+dM4wjejet5FBEJNE0NME63t1zzawrMNXMlkQvdHcPk69GZWbXEgw7pE+fPo39dCLNSiTivDQvl1tfWkh5xLn7/CO4+OhsDQcUaSHmrs3n7teXcMbwblx5bL94hyMi0uQ1KMFy99zw72Yze5HgHKpNZtbD3TeEw/w2h9Vzgeyo1XuHZbnASVXK3wvLe1dTv7o4HgAeAMjJyWn0hE6kOXB33v98K79/cwmf5hYyuk8Wf7p4FH076YLBIi1Fwe4ybnxqDt0y0/ndBSP1w4qISAwc9DlYZtbGzNpV3gdOBz4FXgYqZwK8EngpvP8ycEU4m+B4oCAcSvgmcLqZdQgntzgdeDNcVmhm48PZA6+I2paINMCcNdu59MFpXPnIDPKLyvjjhSN59rpjlVyJtCDuzo+fm8/GgmLuvewo2mekxjskEZFmoSFHsLoBL4a/dqUAT7n7G2Y2E5hiZtcAq4GLwvqvAWcBy4Ai4OsA7p5nZrcDM8N6t7l7Xnj/euBRoDXwengTkYOUt6uUn7+4gNc/3Ujntq349bnDuWRsNq1SdBFRkZZm0kereGPhRn5+1uEc1afDgVcQEZE6OegEy91XACOrKd8GnFJNuQM31LCtR4BHqimfBYw42BhFZK9Zq/L4ztOfsG1nKT88bTDXfKE/GWm6gKhIS/Tuks3c/u/FnHp4V645vn+8wxERaVb07UqkmYtEnAc+WMHv31xKr6zWvHD9sYzopVnCRFqqeWvzuf7JORzeox3/d8lRJCXpvCsRkVhSgiXSjOXtKuWHU+by7tItnHVEd+6+4Egy03WehUhLtXrbLq5+dCad2qbxyFVH06aVvgaIiMSa9qwizZC789Lc9dz12mLyi8q4beJwLh/fVzOEibRg23aWcOUjM6hwZ9LVY+naLj3eIYmINEtKsESamUXrC/nVywuZsSqPI3u355GrjtaQQJEWbndpBddMmsWGgmKe+uY4BnRpG++QRESaLSVYIs1EflEp90z9jCemrSYrI427zz+Ci3KydX6FSAOZ2XnAl4BM4GF3fyvOIdVLWUWEG5+aw7x1+fz9q2MY07djvEMSEWnWlGCJNHE7isuY9NEqHvxgJTuKy7h8fF9+cNoQXdNGpBZm9ghwNrDZ3UdElU8A/g9IBh5y97vd/V/Av8JrNf4BaDIJVkXEuemZuby9ZDN3nDeCCSO6xzskEZFmTwmWSBO1s6Q8TKxWkF9UxilDu/LD04cwrGdmvEMTaQoeBe4FHqssMLNk4D7gNGAdMNPMXnb3RWGVX4TLm4RIxPnx8/P59/wN/OysoXxtfN94hyQi0iIowRJpYvJ2lfL0jDU89MEKtheV8cUhXbjp1MGMzM6Kd2giTYa7v29m/aoUjwWWhdd5xMwmAxPNbDFwN/C6u885pIEeJHfn168s5LnZ6/jeKYO49oQB8Q5JRKTFUIIl0kQsXF/ApI9W8dLc9ZSURzhhcBe+f+ogjurTId6hiTQXvYC1UY/XAeOA7wCnAu3NbKC731/dymZ2LXAtQJ8+fRo51Jq5O799YymTPl7NtSccxk2nDopbLCIiLZESLJEEVlYR4a2Fm5j00SpmrMqjdWoyF4zpzZXH9GNI93bxDk+kRXD3vwB/qUO9B4AHAHJycryx46rJP95fwf3/Xc5Xx/Xhp2cO1eUZREQOMSVYIgloc2ExT81Yw9Mz1rCpsITsjq35+VmHc1FOtiavEGk8uUB21OPeYVmdmdk5wDkDBw6MZVx1tnhDIX94cylfOqIHt08coeRKRCQOlGCJJIhIxJm+Mo8np6/mjU83Uh5xThzchbu+3JeThnQlWdOtizS2mcAgM+tPkFhdAlxWnw24+yvAKzk5Od9shPhqVRFxfvrCAjJbp3LHeSN0iQYRkThRgiUSR+7OvHUFvDJvPa/OX8+mwhIy01O48th+fG18X/p3bhPvEEWaJTN7GjgJ6Gxm64Bb3f1hM7sReJNgmvZH3H1hHMOslyemrWbu2nz+fPEoOrRJi3c4IiItlhIskUMsEnHmrcvnzYWb+PeC9azN201achInDunCOSN7curhXclI07+mSGNy90trKH8NeO1gtxuvIYLr83fzuzeW8IVBnZk4quchfW4REdmXvsWJHAJlFRFmrMzjjU83MnXRJjYWFpOSZBwzoBPfPXkQpw/vTvvWOrdKpKmLxxBBd+eXLy2kwp07zztC512JiMSZEiyRRuDurNpWxIefb+GDz7fy8fJt7CgpJz01iRMHd+GW4UM4ZWg3TVghIg325sKN/GfxJn565lD6dMqIdzgiIi2eEiyRGCgpr2DJhh3Mzy1g/tp8Pl6xjXXbdwPQu0Nrzh7Zg5OGdOWEQV1onZYc52hFpLEc6iGChcVl/PKlhQzrkck1x/c/JM8pIiK1U4IlUk/uzuptRcxZs51P1uQzb10+izcUUlYRXPamU5s0xvTtwLdOHMAXBnamb6cMDdkRaSEO1RDBbTtL+O9nW3hm5lq27izhwStySElOasynFBGROlKCJVILd2fd9t0s3lDIko07mLc2n0/W5pO3qxSANmnJHNk7i6uP78/I3lkc2bs9vbJaK6ESkZhbm1fEi5/k8s6Szcxbl487dG7bil98aRgjs7PiHZ6IiISUYIkQDPFbm1fEyq1FrNq6i5XbdvHZxh0s3biDHSXle+od1qUNJw/tyug+HRjdN4tBXdvp+lQiskdjDRHMzd/Nl//2P7btKmVk7yxuOmUwXxzahRE92+t6VyIiCUYJlrQYu0rKWZ+/mzV5RazcuotV23axeltwf33+biK+t26HjFQGdGnLeUf14vAemQzt0Y4h3drRppX+ZUSkZo0xRHBXSTnfmDSLkrIIb3zvBIZ0bxerTYuISCPQt0Vpstyd4rII24tKyS8qY3tRKdt2lZK3s4S8ojLydpWwqbCE3O27WV+wm/yisn3Wz0xPoX/nNozu04HzR/emf+cM+nVqQ//ObcjK0EU6RST+IhHn+8/MZenGQh656mglVyIiTUDCJ1hmNgH4PyAZeMjd745zSNJI3J3C4nK27Chhy44SNu8oZsuOErbtKiW/qJTtu8r2JFP5u0vZXlRGaXmk2m2ZQVbrVLq2S6dXh9aM7ptFr6wMemalk90xg/6d2pCVkapzpUQkof1x6lLeWrSJX549jJOGdI13OCIiUgcJnWCZWTJwH3AasA6YaWYvu/ui+EbWsrk7JeURSisilJRFKC6roKS88m8FxWFZcVmE3WUVFJdVsKuknMLiMgp3l7OjuIzC4uDvjuJydpaEt+JyyqPH6YVSkoysjDQ6ZKTSISONvp0yGJnRng4ZaWRlpJGVkUqHjFSyMtLo1CaNjm2Ccp0bJSKHWizPwfrXJ7nc9+5yLh2bzdeP69fg7YmIyKGR0AkWMBZY5u4rAMxsMjARaLQEa+H6AtbmFQHgUd/19//aHyx3PPxbWeb7LNtzP6zjHpY6RNyJhH8rl0UiQdmeulH19jxX1HqR8HFFZO/9fba7p15YFnHKKpyyigjlkQhlFU55RfC3tCJCWeWtPKizt8wpLY9QUl6xZzry+kpOMjLTU8hsnUpmeiptW6XQp2MGbdNTaNcqhbbpKWS1TqNrZiu6tG0V/k0ns3WKjjSJSJMQq3OwPlmznVuen8+4/h359bkjtA8UEWlCEj3B6gWsjXq8DhhXtZKZXQtcC9CnT58GPeHkGWt5fNrqBm3jUDIDA5LMSEoykiy8bxaUR5VZ+Dc1OYnUZCMlOYmUpOBxWkpwv22rFFLD8rSUoDwtOSlcJ3jcKmXv31YpSbRKTaZVShLpUX9bpybTOi2Z9JRk0tOSaJOWQkZasr4kiIgcgLvzq5cX0j0znfu/Noa0FF3fSkSkKUn0BKtO3P0B4AGAnJycgzu8Err+iwO4bNzeJC06HwhSln1VJjhBPatStneNoMz2bM8sOKJTmQhZmAAlh38rHxtR9aK2EV1PRESaDzPjwStz2FFcToc2mnBHRKSpSfQEKxfIjnrcOyxrND3at6ZH+9aN+RQiIiK16touna6aMFBEpElK9HEHM4FBZtbfzNKAS4CX4xyTiIhItczsHDN7oKCgIN6hiIhInCR0guXu5cCNwJvAYmCKuy+Mb1QiIiLVc/dX3P3a9u3bxzsUERGJk0QfIoi7vwa8Fu84REREREREDiShj2CJiIiIiIg0JUqwREREREREYkQJloiIiIiISIwowRIREYkRzSIoIiLm3qDr8iYcM9sCrG7gZjoDW2MQTrypHYlF7UgsakdiqW87+rp7l8YKpqHUF+1D7UgsakdiaQ7taA5tgINrR7V9UbNLsGLBzGa5e06842gotSOxqB2JRe1ILM2lHbHUXF4TtSOxqB2JpTm0ozm0AWLbDg0RFBERERERiRElWCIiIiIiIjGiBKt6D8Q7gBhROxKL2pFY1I7E0lzaEUvN5TVROxKL2pFYmkM7mkMbIIbt0DlYIiIiIiIiMaIjWCIiIiIiIjGiBEtERERERCRGmlWCZWbpZjbDzOaZ2UIz+3XUskvM7OdmNtTMPjazEjO7uS7rVln/q2Y238wWmNlHZjYyqs4EM1tqZsvM7CeN3I5q40ikdlTTrmQz+8TMXq1PPGG9+83sODP7vZktCeu+aGZZUXV+Gsa81MzOiFXcdYi9ps9Utpm9a2aLwvfie1W2Od7MHjSz08xsdtj22WZ2clSdMWH5MjP7i5lZI7ajps9UwrUjarurwu3ONbNZ9YkprPeTsN0/CNs338zeNrO+UXWuNLPPw9uVsYi7jrF3Cl/3nWZ2b9TyDDP7d/h/sNDM7q6y3R5m9paZjQo/lwvDdl0cVae/mU0P349nzCwtVu0S9UWJ1o5q2qW+aN9tqi9qIFNfpL6oKndvNjfAgLbh/VRgOjA+fDwJGAN0BY4G7gRursu6VdY/FugQlp0JTA/vJwPLgcOANGAeMKwR21FTHAnTjmra9QPgKeDVusYTVW9uGNvpQEpY9lvgt+H9YWGsrYD+YRuSY/jZqi32mj5TPYDR4f12wGfRryXwa+AC4CigZ1g2AsiNqjMDGB++r68DZx7q9yAR2xG13VVA52rKDxhTWPYu0AX4IpARln0beCa83xFYEf7tEN7vcIhibwMcD1wH3Bu1PAP4Yng/Dfgg+vUEvg78EBgMDArLegIbgKzw8RTgkvD+/cC3Y/W/opv6okRrRzXtUl+kvkh9Ud1jV190ELdmdQTLAzvDh6nhzcNfKEYBc9x9s7vPBMrqsi5AlfU/cvftYb1pQO/w/lhgmbuvcPdSYDIwsRHbUW0cidSOaGbWG/gS8FBUWV3iwcwOBz5z9wp3f8vdy6upNxGY7O4l7r4SWBa2pcHqEHtNn6kN7j4nvL8DWAz0iqpyCvAfd//E3deHZQuB1mbWysx6AJnuPs2Dvc9jwHmN2I6aPlMJ1Y46qjUmADPLBNLcfYu7v+vuRWG96M/VGcBUd88LX5upwIRDFPsud/8QKI5e6O5F7v5ueL8UmBMVL2F8r7v7Z+7+eVhvPbAZ6BK+5ycDz4X1J9H470eLor4osdoRTX1R/Pfh6ovUF9EC+qJmlWDBnsPOcwnewKnuPp3gl4N54T9UfdellvWvIfgFBIJ/8rVRy9ax7z9+Y7YjOo6EakeUPwO3AJGosjq1h+AXrDeq2ebVNH7cUL/Yq2Vm/cJ1poePOwNl7l5QpeoFBB1MCUH866KWNbRNDXkPCOPuR/zbEc2Bt8IhF9fWIyaAU4G3q9nmofh/qG/s1bJgWNI5hO0ws2RgiLsvqlJvLMEvjMuBTkB+1JfDWLZJQuqLEqsdUdQXxX8frr5IfVGz74tS4h1ArLl7BTAqfLNfNLMRhFn0wazr7p9Wt76ZfZHgw398rNtQUyx1jSOR2hE+x9nAZnefbWYnRS2qazxnEBxqjq73c6AceLIxYo56njrHXss22gLPAze5e2FYfDrwVpV6wwmGmpze0LiriaGh70FCtKMax7t7rpl1Baaa2RKCX9DqEtME4J9V6n0NyAFObNSoA3WKvSZmlgI8DfzF3VeExeMIv3BE1esBPA5c6e4Ri80pB3IA6osSqx3hc6gvUl/UWNQXqS/aR7NLsCq5e76ZvUvwwT2d4BeDg1n306rrm9mRBIe2z3T3bWFxLpAdtZneYVmD1NaOGuJIxHYcB5xrZmcB6UCmmT0RbrvWeMwsg2Cs7vqoelcBZwOnRP3a1Sivf11jr4mZpRJ0BE+6+wtRi84E7omq1xt4EbjC3ZeHxbnse7i9IW066PcgwdqxD3fPDf9uNrMXCYbijKxDTIR1vx1V71Tg58CJUb8s5gInVYn9vUMV+wE8AHzu7n+OKtvnF3YLhp78G/i5u08Li7cBWWaWEv5yGLP3Q/anviih2qG+KP77cPVF6otaRl/kCXAiWKxuBCcIVp4415rghLuJwIfV1P0V+54EWt26ZwPto9cH+hCMqT62yvZSCE467M/eE3KHN1Y7aokjYdpRQ9tOAl6tRzxfAu6OejwBWAR0qVJvOPueWLyCGJ5YXFvstXymjGCM95+r1LMw1soLfWeFj8+vZptVT8g9Kw7vQaK2ow3QLur+RwQ79QPGFH5eJkc9PopgyMKgKvU6AisJTiruEN7veChij6p7FVEnFodldxB8yUiqUv5R1HbTCIZr3FTN8z/LvicWXx/L/5WWfkN9UUK1o4a2nYT6onjvw+v7HiRqO9QXqS/a79bcjmD1ACaFYz+TCGYnSQX+U1nBzLoDs4BMIGJmNxHM+rPfuu7+qpl9JXp94JcE40b/Fh7eLHf3HHcvN7MbgTcJZhh6xN0XNlY7aoojwdpRm9Pq2J4z2XsCJMC9BB3X1LDeNHe/zt0XmtkUgg6vHLjBg+EpjWGf2Gv5TB0JXA4ssOA8BICfEZyP8ImHexTgRmAg8Esz+2VYdrq7bwauBx4l+ILyOnUcCnIw7aDm9+C4BG1HN4JhRxB8GXsK2FKXmNj/XIrfA22BZ8PtrXH3c909z8xuB2aG9W5z97xDFDtmtorgc5VmZueFsRcS/Lq5BJgTbuNe4CWg2IOTvwEuAk4AOoW/tANc5e5zgR8Dk83sDuAT4OEYtEn2Ul+UWO2ojfoi9UUNpb5IfdF+LOr1a5bM7CHgId97SPKQrh8rzaUdleoaj5nNAca5e1lt9Q6lGLwXvyCYHWtybCOrdxzNoh3R6hqTmU0lGKax4dBEdmANfT0tGLPf293vPmBlOeSayz68ubSjkvqi+O/Dm0s7oqkvUl/U7BMsERERERGRQ6XZTdMuIiIiIiISL0qwREREREREYkQJloiIiIiISIwowRIREREREYkRJVgiIiIiIiIxogRLREREREQkRpRgiYiIiIiIxIgSLBERERERkRhRgiUiIiIiIhIjSrBERERERERiRAmWiIiIiIhIjCjBEhEREWnizCzDzK41s1QzO9bMjo13TCItlRIsERERkSbO3YuA44BNwP3AtvhGJNJymbvHOwYREREREZFmQUewpEkys35m5maWUsPj98zsG+H9JDNbYGbrotbPNrMXzGyLmW0zs3ujlp1kZhEz2xneImZ2arisvZk9Fq632sx+YWbV/h+Z2a/M7ImoxylhjP0OtC0zu8rMKsLnLzSzd8ysV1R866p5vj3bN7M0M5trZt8JlyWb2f/M7Jc1xNrazP4YxlFgZh+aWeuo5W5mu8J4yszsjvA58szsiKh6Xc2syMy6VNP+qo+fNbON4fO9b2bDo5a1MrM/mNkaM9tkZvdXxlPl/dlhZjPMbER17RKR+DKzw8P9cb6ZLTSzc8Pyi6P2sRVmVlz5OFx+0PvPcPk3zWxxuI9YZGajw/JVUfvztuH+5cPw8SthDLvC56qM7/5weU8zez58zpVm9t0qbY3eb+8MtzEwXLanT6rmNXrUzO6IejzQzDzqcbXrhvvhR8P7VfvAseHjO6quV0OslX3dSVGv/3Nm9kz4Gs4xs5FR69f4OoZlbmbfNbMVZrbVzH5ve/u3pPD9Wm1mm8P3sX3Uuseb2UfhZ2ZtGGutn5dq2rcnvmrirfrZ+luV96re/WFYPsCCvnpb2OYnzSyruvjC+sPNbKoF/egmM/tZLe+Ph5+LC81sdpXt/MDMXqpDu8ea2cfh67rBzO41s7SoukOj4llqZhdFLXvUzErDWPLM7KHKz5pUTwmWNFWR8G9dPsNXAh0qH5hZMvAqsBroB/QCJkfVTwJy3b2tu7cF1kQt+yvQHjgMOBG4Avj6wTXhgNv6OHz+rkAJ8P26btjdS4GvAbeZ2eHAT4Bk4M4aVvkDMAY4FugI3EL4GtveLy1HhvE8GfUck8PnqXQp8La7bwnXr+39eR0YFLZvTuV2Q3cDg4FRwECC9yg6OVwfxpIFzAN+VcvziEgcmFkq8ArwFsH/+XeAJ81siLs/E7WP/QC4MepxXdTnHCaBAAAgAElEQVS4/zSzCwn2CVcAmcC5VD9c7kdAWeUDdz8nfP7KH3uywpiuC/eDrxDsb3oBpwA3mdkZUdtLAj6qZzsay++B3APU+bgy1jDe9VWWTwSeJegTngL+Fb6nVe3zOkb5MpADjA63dXVYflV4+yLB+9cWuBfAzPoS9A1/BboQ9AFzD+LzcqD+h/D5BgNnVimud39YuTngN0BP4HAgmxr6JjNrB/wHeCOsPxB4O6pKTZ+ll4H+Yb9e6XLgsfB+be2uIPge0Rk4huAzfH0YTxtgKsH73BW4BPibmQ2LWv93YSzDgC8BE2p4HkEJljRdm4BS4PTaKplZOsEX89ujiscS7NB+5O673L3Y3T+MWp4WbrvqtpIJdjo/dfcd7r4K+CPBzq1e6rmtpPBWr/H07v4pcAfwL+Bm4HJ3r6gmliSCju977p7r7hXu/pG7l4RVKn/h2u81ASYBl5qZhY8vBx4P768Bjq7pFzx3fyRsewlBJzTSgl+lDbgW+L6757n7DuAugterqiSCxFHnGogknvEEX57vdvdSd3+H4MetSxuy0TrsP79B8GVwpgeWufvqKtvoDlwD3FPHpz0a6OLut4VtWQE8yL77pWr7jkPNzM4m+LL/nwZuara7P+fuZQSvUzrBexr9XLW9jr8N9+FrgD+z933/KnCPu69w953AT4FLwiMilwH/cfen3b3M3be5+9yDiH0NcGpU31STu4j6ftCQ/jD8nE1195LwR8Z7CJL/6pwNbHT3P4bfQXa4+/So5dV+lsI4niH8YdOCkR/9CP6vam23u89292nuXh7+z/wjKr6zgVXu/s9w+SfA88CF1cSeTPD5Ur9bCyVY0iSFO5kbgH+YWT4wv4aq3yP4hWhpVFk2sNrdy2tYpyOwvZryzkAqwZGvSqsJfs2syUXh4fh8YGs9tzU+XC8f6A88GrWsZ7jd7Wb2SZVfUaNNAvoCr7n75zXU6UzQcS6vYXnH8O9+r0nYIRQBJ5nZUIJf4V4OF08m+LV3ZdiOn1SuZ8GQxbvNbLmZFQKromLpAmQAs6NeuzfC8n3aD+wg+PXxrzXELiLx0xNY6+6RqLID7TOjHez+M5ua92eVbiXYb+TVMZa+7N3vVsb0M6BbVJ2a+o5Kf4kanvVI+ANgpZujtjunnutGSyY4inJLHdtVm7WVd8L3cB3BexqtttdxbdT91VHr9mT/9y6F4LWsy3tXFz8GzgIKwte0T9UKZjYeGELQT1Y66P7QzLqZ2WQzyw37tSfC7VXnQO2s7bM0CbgsTKIuB6ZEJYA1ttvMBpvZqxYMzS8kSC4r4+sLjKvy+f4q0D3qeW8Oy9cCHwMza4m/xVOCJU2Wuz/k7r3cPQs4spoqHYEbgV9XKV8L9Kll/PBg4LNqyrcSDIPoG1XWh9qHYUxx96wwxugdbV22NS1cL51gR/1o1LL14bKOBJ1bdAcR7W8Ev2ydYWbH11BnK1AMDKhh+WBgQ/hLY3UmEfyadjnwnLsXA4S/yn3F3TuEsd4dtc5lBENGTiUY5tMvLLcwnt3A8MrXzt3bVxkmUdn+1gSJ2/M1xCYi8bMeyLZ9z1M90D4z2sHuP9dS8/4Mgn3aGcD/1TGOym2ujNonZbl7O3c/q8p2q+s7Kn03bMtwgiFoV0Ut+0NUW0fXc91oVwJL3X1anVpVu+zKO+F72Jt9hxEe6HXMjrrfJ2rd9ez/3pUTjEw50HtXJ+4+3d1HuHtm+Lqtqaba7wiOgkaP7GhIf3gX4MAR7p5J0C/WdARtLcHwyJrU+FkK39tS4AsEfenjUctqa/ffgSXAoDC+n0XFtxb4b5XPd1t3/3bU+n8It9mO4Ajbj2qJv8VTgiXN2U3Aw+6+sUr5DGADcLeZtTGzdDM7DiAcb3w1wbC6fYQ74SnAnWbWLhwr/gOC5Kde6rktJxg73WW/Be5OcIRrv/9lM7ucvR3xd4FJZrbfePXwl8lHgHssOIk72cyOsWCiic4ECcx+r0eUJwjG2n+NvePAD6QdwXll2wiOVt1VJZ4HgT+ZWdewLb2qO0oXtr+Cmn8lFJH4qTzCfYsF12Y6CTiHfc95rbc67D8fIvi1fYwFBoZ1Kv0CuK3yx6A6mgHsMLMfWzAJQrKZjTCzowHCPuQ8at9XVioi2P8dzHewA637c4Ihd7EwxszOD3+MvCl83ujE7UCv44/MrIOZZROMJnkmLH8a+L6Z9Q/7pLuAZ8JRJU8SDHG7yIKJTTqZ2agYtSfayUDE3V+NLmxgf9gO2Elw9KgXtScgrwI9zOymcNvtzGwc1Pmz9BjBeWtlvu8pDrVpBxQCO8MRJ9HJ06vAYDO7PPxfTTWzo23fc70qVRB8L9nvO4nspQRLmrNkgpNV9xF2zucQDGdbQzDs4WILTvJ8C/iHu0+pYZvfAXYBK4APCU4IfeQg4zvQto6xYIakAuB8gqNxlbqb2ToLZhO8g2AM/B5m1odgzPsV7r7T3Z8CZgF/qiGWm4EFBIf884DfEuwfJhP8qviTGtbD3dcSDGlxgpOP6+IxgmEhucAi9u20IRjmsAyYFg5l+A/BUI5KPS2cRZDgC8XViEhC8WAinHMIhvFuJTiifoW7L4nB5mvcf7r7swQT+jxFMIz4X+wd2kUYS11/DCLcZgXBeSqjgJXhNh4C2oc/zE0Cbnb3GbVs5nfhPnsFwf7tn/UIoa7rvlrLcPD6egm4mGCo2uXA+eH5WJUO9Dq+BMwG5gL/Bh4Oyx8hOOryPsFrWUzwfhKer3UW8EOCvmguMJLY60HNwygPtj/8NcHRxwKC9r5Q05N7cG7xaQT/HxuBz4Ev1uOz9Dgwgvr9wHszwRGvHQQ/YlYmvJXxnE5wTuH6MKbfAq2i1r8l/E6ykeD1+G09nrvF0XWwRKTBzOwRgmF7v4h3LCIi0jBm9itgoLt/7UB1a1jfCYaiLYtpYAIEU8kDm4HRMUyoJYY0h72INIgF16U5HzgqvpGIiIi0CN8GZiq5SlxKsETkoJnZ7QTX1fiNu6+MdzwiIiLNmZmtIpic4rw4hyK10BBBERERERGRGNEkFyIiIiIiIjHS7IYIdu7c2fv16xfvMEREpBHNnj17q7sn7DTB6otERJq/mvqiBiVY4cxhZwOb3X1EWPZ7gmknSwmuUv11d88Pl/2UYDrpCoKL5r0Zlk8guFBdMvCQu98dlvcnmBazE8FUn5eH077WqF+/fsyaNashzRIRkQRnZqvjHUNt1BeJiDR/NfVFDR0i+CgwoUrZVGCEux9JcBXqn4YBDCOYX394uM7fwgu4JQP3EVwnYxhwaVgXgjn2/+TuAwmuw7DPtX5EREREREQSSYMSLHd/n+AibNFlb4VX44bg4qG9w/sTgcnuXhLONrYMGBvelrn7ivDo1GRgopkZwZW2nwvXn4RmTBERERERkQTW2JNcXA28Ht7vBayNWrYuLKupvBOQH5WsVZbvx8yuNbNZZjZry5YtMQxfRERERESk7hotwTKznwPlwJON9RyV3P0Bd89x95wuXRL2nGcREREREWnmGmUWQTO7imDyi1N874W2coHsqGq9wzJqKN8GZJlZSngUK7q+iIiIiIhIwon5EaxwRsBbgHPdvShq0cvAJWbWKpwdcBAwA5gJDDKz/maWRjARxsthYvYu8JVw/SuBl2Idr4iIiIiISKw0KMEys6eBj4EhZrbOzK4B7gXaAVPNbK6Z3Q/g7guBKcAi4A3gBnevCI9O3Qi8CSwGpoR1AX4M/MDMlhGck/VwQ+IVERERERFpTA0aIujul1ZTXGMS5O53AndWU/4a8Fo15SsIZhkUEWmR3J3vTZ7LEb3a880TDot3OJJgnp+9jpmr8rj7giPjHYqIiIQaexZBERFpgOkr83h53nrue28ZxWUV8Q5HEsxHy7fx7wUb4h2GiIhEUYIlIpLA7v/vctKSk8gvKuPNhRvjHY4kmNKKCDtLyolE/MCVRUTkkFCCJSKSoBatL+S9pVv4zskD6dspg6emr4l3SJJgSssrcIcdxeUHriwiIoeEEiwRkQT1j/eX0yYtmSuO6cfFR2czfWUeK7bsjHdYkkBKyiMAFBaXxTkSERGppARLRCQBrdlWxCvz1vPV8X1pn5HKV8b0JiXJmDxzbbxDkwRSGiZYBbuVYImIJAolWCIiCejBD1aQkpTENcf3B6Bru3ROG9aN52avo6Rck11IoDLBKlSCJSKSMJRgiYjE0O7SCr7/zFwWbyg86G1s3VnClFlr+fJRveiWmb6n/NKxfcjbVcpbCzfFIlRpBjREUEQk8SjBEhGJoedmr+XFT3L5+YsLcD+4md0e/d8qSisiXHvivte9On5gZ3p3aM3kmZrsQgJ7j2BpkgsRkUShBEtEJEYqIs7DH66kbasU5qzJ59X59b8+0c6Sch77eBUThndnQJe2+yxLSjIuOTqb/y3bxqqtu2IUtTRlpRU6B0tEJNEowRIRiZG3F29i1bYi7jr/CIb1yOTu15fU++LAT09fQ2FxOdedOKDa5RfmZJOsyS4kVBJ+vjREUEQkcSjBEhGJkYc+WEmvrNacNaI7vzj7cHLzd/PwhyvrtK6789LcXP76zuccO6ATI7Ozqq3XLTOdk4d25bnZa/cMD5OWq/IIlia5EBFJHEqwRERiYN7afGasyuPrx/UjJTmJYwd05rRh3fjbu8vYvKO41nU3FOzmG5Nm8b3JczmsS1t+c/4Rtda/bGwftu4s5e3FmuyirsxsgpktNbNlZvaTWupdYGZuZjlRZT8N11tqZmccmojrpkTTtIuIJBwlWCIiMfDQhytp1yqFi4/O3lP20zOHUlIe4Z63Pqt2nUjEeWLaak67530+Wr6N/3f2MJ7/9rH07dSm1uc6YXAXerZP1zDBOjKzZOA+4ExgGHCpmQ2rpl474HvA9KiyYcAlwHBgAvC3cHsJYe8sgprkQkQkUSjBEhFpoNz83by2YAOXjM2mXXrqnvLDurTlimP68cystSxav3fa9pLyCl6et56v3P8Rv/jXp4zMbs+bN53ANcf3JznJDvh8yUnGxKN68eGyreTtKm2UNjUzY4Fl7r7C3UuBycDEaurdDvwWiD7kOBGY7O4l7r4SWBZuL+7cXdfBEhFJQEqwREQa6NH/BedZXXVc//2Wfe+UQbRvncod/17EZ5t2cNsrixh319t89+lP2LyjhN9dcCRPXDOOPp0y6vWc5xzZk4qI89qC+s9U2AL1AqIP960Ly/Yws9FAtrv/u77rRm3jWjObZWaztmzZ0vCoD6CsYu9lADREUEQkcaTEOwARkaZsR3EZk2es5UtH9KBXVuv9lrfPSOV7pwzi168s4vQ/vU9qsnH68O5ccnQ2xw3oTFIdjlhV5/Ae7RjQpQ2vzFvP18b3bWgzWjQzSwLuAa5qyHbc/QHgAYCcnJyDuwhaPZSU752hUrMIiogkDiVYItKirdlWxJ/f/ozeHTIY2r0dg7u1o1+nDFKS63aA/5mZa9lRUs43vrD/0atKXxvfl5Vbd5HdIYPzR/eiU9tWDY7bzDh3ZC/+/PZnbCwopnv79DqvG4k4DnUajthM5ALZUY97h2WV2gEjgPfMDKA78LKZnVuHdeOmcnhgq5QkXWhYRCSBKMESkRbtyemreWFOLmbg4TGHtOQkjuzdnvu+OppumTUnLuUVEf75v1WM7d+RI3tXP606QGpyErdNHBHr0DlnZA/+9J/PeHX+er7xhcPqvN6vX1nI9JV5vHHTCTGPKUHNBAaZWX+C5OgS4LLKhe5eAHSufGxm7wE3u/ssM9sNPGVm9wA9gUHAjEMYe40qp2jv3LYVufm7KS2PkJaikf8iIvGmPbGItGhvL9nMcQM7sfi2Cbz6neP544Ujueq4fizILeDWlxbWuu4j/1tJbv5uvnVC3ZObWDqsS1tG9Mrklfl1Pw8rN383T05fw5KNOw44fXxz4e7lwI3Am8BiYIq7LzSz28KjVLWtuxCYAiwC3gBucPf6XT26kZSUBQlWl3bBEVENExQRSQw6giUiLdbqbbtYtnknl43tQ3pqMiN6tWdEr/YAZGWk8rs3ljJ10SZOG9Ztv3VXbNnJH9/6jNOHdePkoV0Pdeh7nHNkT37z+hJWb9t1wOndAR7473LKI8Ghurlr8jl9ePfGDjEhuPtrwGtVyn5ZQ92Tqjy+E7iz0YI7SJVHsPYkWLvL6ByD4aciItIwOoIlIi3WO0s2A3DK4fsnSN/8wmEM6daOX770KTtL9j2/JRJxbnluPumpydxx3gjC83bi4uyRPQF4tQ5HsTbvKObpmWuZOKonKUnG3LX5jR2eNKLKc7AqkyrNJCgikhiUYIlIi/X24s0M6NKm2iM/qclJ3HX+EWwsLN7vQsGTPl7FrNXb+eXZw+hayzlah0KvrNbk9O3AK/PWH7Duwx+spLwiwvdPHczhPTKVYDVxlbMI7h0iqIkuREQSgRIsEWmRdhSXMX3lNk49fP/hf5XG9O3AV8f14dGPVrJgXQEQzDr4uzeWctKQLpw/utrLIR1y54zsyZKNO/hs044a62zfVcrj01Zzzsie9OvchlHZWcxfV0BFpNFnE5dGUlK+/xBBERGJPyVYItIiffj5Vsoq/IDnT90yYSid27biJy/Mp6wiwo+fn09KkvGb84+I69DAaGcd0YMko9ajWP/8aBVFpRVcf9JAAEZlZ7GzpJzlW3YeqjAlxiqHCHZpmwZoiKCISKJQgiUiLdLbSzaTmZ7CmL4daq2XmZ7Kr84dzsL1hXz1oel8vGIbP/vS4fRov/9FheOlS7tWHDugMy/PW4/7/kekdhSX8ej/VnLG8G4M6d4OgFF9gmnlP1mz/ZDGKrGz3xEszSIoIpIQGpRgmdkjZrbZzD6NKutoZlPN7PPwb4ew3MzsL2a2zMzmm9noqHWuDOt/bmZXRpWPMbMF4Tp/sUT5uVhEmrSKiPPuks2cNKRrnS4ofOaI7pw8tCszVuZx3MBOXHJ09gHXOdTOHdmT1duKWJBbsN+yx6etprC4nBu/OGhPWf9ObchMT9F5WE1Y5RGs9q1TSUvWxYZFRBJFQ49gPQpMqFL2E+Btdx8EvB0+BjiT4AKNg4Brgb9DkJABtwLjgLHArZVJWVjnm1HrVX0uEZF6m7cun227SqudPbA6ZsadXx7BV8b05rcXHJkwQwOjnTG8O6nJxt/eXc70FdsoKAqOZuwureDhD1Zy4uAuHNG7/Z76SUnGqD4d+GSNEqymqjLBSktOJrN1ioYIiogkiAZdB8vd3zezflWKJwInhfcnAe8BPw7LH/Ng/Mo0M8sysx5h3anungdgZlOBCWb2HpDp7tPC8seA84DXGxKziMg7izeTnGScOLhLndfp0b41f7hwZCNG1TDtM1K5KCebJ6ev4Y2FGwHo0T6djm3S2LarlBtPHrjfOqOys7j3nc/ZVVJOm1a6LGJTUzlEsFVqEpnpqRoiKCKSIBqjR+3m7pUXZNkIVE7R1QtYG1VvXVhWW/m6asr3Y2bXEhwVo0+fPg0MX0Sau7eXbGZM3w5kZaTFO5SYuuO8EXz3lEEs3lDI0o07WLJxB4s3FDJxVE+O7tdxv/pHZWcRcViQW8D4wzrFIWJpiNJwmva05CQyW6dqFkERkQTRqD9ZurubWaPPAezuDwAPAOTk5GjOYRGpUW7+bhZvKORnZw2NdygxZ2Z0y0ynW2Y6Jw058PDHkdnBRBdz1+YrwWqCSivCIYIpQYJVUFQa54hERAQaZxbBTeHQP8K/m8PyXCD6zPDeYVlt5b2rKRcROWjvLAl2SScPrfn6Vy1FxzZp9O2UwVydh9UklZSFQwRTkshMT9GFhkVEEkRjJFgvA5UzAV4JvBRVfkU4m+B4oCAcSvgmcLqZdQgntzgdeDNcVmhm48PZA6+I2paIyEF5Z/Em+nbKYECXNvEOJSGMys6qcSZBd2dXib60J6rSighJBinJSbTXEEERkYTR0GnanwY+BoaY2Tozuwa4GzjNzD4HTg0fA7wGrACWAQ8C1wOEk1vcDswMb7dVTngR1nkoXGc5muBCRBqgqLSc/y3fxslDuybkTIDxMCo7i42FxWwsKN5v2Z+mfsYxv3l7z4yEklhKyyOkpQTdeGbrVAp2l1V7HTQRETm0GjqL4KU1LDqlmroO3FDDdh4BHqmmfBYwoiExiohU+mjZNkrLI5x6uIYHVhq15zys7Uxo32NP+YotO/n7f5dTVuG8NC+XK47pF6cIpSYl5RFapSQDwQWxyyPO7rIKMtI0I6SISDw1xhBBEZGENHvNdlKTjZx+HQ5cuYUY1jOTtOQkPokaJuju3PbqIlqlJHNY5zZMmbW2li1IvJREHcFq3zoVQBcbFhFJAEqwRKTFWLKhkAFd2u751V+gVUoyh/fM3Geii7cXb+a9pVu46dRBXHFMXz7NLWTh+oI4RtlwZjbBzJaa2TIz+0k1y68zswVmNtfMPjSzYWF5PzPbHZbPNbP7D3301Sstj5CWXDlEMDhqVZ+LDUciztadJY0Sm4hIS6YES0RajCUbdzC0e7t4h5FwjsrOYkFuAeUVEYrLKrjt1UUM7NqWK4/tx3lH9SItOYlnZ6078IYSlJklA/cBZwLDgEsrE6goT7n7Ee4+CvgdcE/UsuXuPiq8XXdooj6wkvIKWqWGCVZ6eASrHhcb/tfcXI67+x3yNb27iEhMKcESkRahoKiMDQXFDO2RGe9QEs6o7CyKSiv4bNNOHnx/BWvyivjVOcNJTU4iKyON04d3419zcykJL2zbBI0Flrn7CncvBSYDE6MruHth1MM2QMLPFhF9BGvvEMG6J1hz1+ZTUh5h1baiRolPRKSlUoIlIi3Cko3B9+chOoK1n8qJLl7/dAP3vbeMM0d05/hBnfcsv/jobPKLypi6aFO8QmyoXkD0iWTrwrJ9mNkNZrac4AjWd6MW9TezT8zsv2b2hZqexMyuNbNZZjZry5YtsYq9RqUVEVpFzSII9RsiuGzzTgDWbVeCJSISS0qwRKRFWLppBwCHd9cRrKr6dsqgQ0Yq9767DICff+nwfZYfO6AzvbJaM6WGYYJr84r4y9ufU1zWZI9wAeDu97n7AODHwC/C4g1AH3c/CvgB8JSZVfshcvcH3D3H3XO6dOnS6PGWlEXPIhicg1WfI1h7E6zdsQ9ORKQFU4IlIi3C4g07aN86lW6ZreIdSsIxM0ZmZ+EO1580kN4dMvZZnpxkXDCmNx98voXc/H2/jG/dWcLlD0/nnqmf8bf3lh/KsOsjF8iOetw7LKvJZOA8AHcvcfdt4f3ZBNdkHNxIcdZLacW+18ECKCyu2yyChcVlbN4RTHChI1giIrGlBEtEWoSlGwsZ2r2dLjBcg7OP7MnYfh259oTDql1+4ZjeuMPzs/cexSoqLeeaR2eysbCYsf06cv9/l7Nq665DFXJ9zAQGmVl/M0sDLgFejq5gZoOiHn4J+Dws7xJOkoGZHQYMAlYckqgPIPpCw6nJSWSkJdd5iGDl0SvQESwRkVhTgiUizV4k4izVDIK1+sqY3ky57hjSU6ufwj67YwbHDezEs7PXEok4ZRURbnhyDgtyC/jrpaP562VHkZpk/OqVhQTXlU8c7l4O3Ai8CSwGprj7QjO7zczODavdaGYLzWwuwVDAK8PyE4D5YflzwHXunneIm1CtkvKKPZNcQDCTYF2HCC7bFCRYQ7u3U4IlIhJjuty7iDR767bvZldphWYQbKCLcrL53uS5TFuxjX/NzeXdpVu468tHcNqwbgB8/7TB3PHvxby1aBNnDO8e52j35e6vAa9VKftl1P3v1bDe88DzjRvdwSktj+yZph2CmQTrOk37si07SUtJ4pgBnXh6xhrcXUd3RURiREewRKTZq5xBUEewGuaM4d3JTE/hu5PnMmXWOr57yiAuG9dnz/Irj+3HkG7tuO2VRewubdoTXjQF0dO0Q3Cx4foMETyscxv6dWpDcVmErTt1LSwRkVhRgiUizd6SjcEMgoO7KcFqiPTUZCaO6sXWnSVcnJPN908dtM/y1OQkbps4nNz83dwXzkgojack6hwsqBwiWLdJLpZt3smArm3p3aE1oIkuRERiSQmWiDR7SzfuoG+nDNq00qjohrrp1EHcft4I7vzyiGqHlI07rBNfPqoXD7y/ghVb9k6ksD5/N5NnrOG6x2cn6kQYTU5p+d5p2qHuQwSLyyr+P3v3Hd5meTV+/HtblmzJ8l6JHcdOYjshezghzLAKlFICLWWVVWgpo7SFtu8L79tfBx0vhbbQFiibQkuh7E2BkoQwkxgSshM7iePYGd7b1rx/f+iR4yE5diLJljif68qF/Oh5pDstPPLROfc57Gnuojjb3tsxUvZhCSFE6MhvG0KImLdlfxtTJXsVEpn2BC5bXDjkObeeNY3/bD7ALc9vYO7ENFZsq2O70VRhfGoie1u6KcpKisRyY5rDMyCDZTUPq0RwZ30nWkNxjp383gxWZAOshg4H6TYLpjjZ9yWEiD0SYAkhYlqPy0NVQydnz84b7aV8YeQkJ3Lz6aX88tXNrNvTwqJJGXxjQQFLpmZTkmOXZgohoLXu16YdfMOGOxxuvF5N3BCBS6WRWSzJtWNPiCfdZo5oiaDL4+XkO1dw05dKuer4SRF7XyGEiBQJsIQQMa3iQAdeLQ0uIu3KY4uYNzGdkhy7lGaGgdPjBSBhQAZLa2h3uEk1Bg8HUlnXQZyCSUYWcUK6LaIZrPYeN+0ON6t3NUmAJYSISbIHSwgR07ZIB8FRoZRibkGaBFdh4nQHDrCAQ87C2lHXwcQMW+/+rQnp1ohmsDodvkYcG/e2Ruw9hRAikiTAEkLEtG3720k0x1GYKXt+ROzwB1gDuwgCh9yHVVHXTnGOvfdnX4DVHbEB0e09vgCrprmbli5pDy+EiD0SYAkhYtrW/W2U5ibLZnoRUxwBMlj+ssChOgm6PV52NXQypV+AZcPhjtwsrE7nwVbym/a2ReQ9hRAikiTAEofBPEMAACAASURBVELEtG3726U8UMScgBksq68cc6gSweqmLlweTXF2/wwWRG4WVofjYIC1sVbKBIUQsUcCLCFEzKpvd9DQ4WTquJTRXooQIeVvcmExHZyD5S8RHGrYcGWdr4Ng8YAMFkSuVbt/D1acgo2SwRJCxCAJsIQQMWur0eDiKMlgiRjjcAUoEbQdukTQ36J9Ss7gDNaeSGWwjD1YM/NTJYMlhIhJEmAJIWLWtv3tAEyVAEtEmXV7Wiivagr6vNPjAfqXCNot8Sg1dJOLyroOclMSerNdAEkJ8WQkWSKWwfKXCC6enMmuhk7ahwgIhRAiGkmAJYSIWVv2tZOdnECmPWG0lyLEiNz51lb+782tQZ93BNiDFRenSE6IH3IP1o66DkpyBn/h4O8kGAmdDl9wuKgoA4DNUiYohIgxYQuwlFI3KaU2KaU2KqWeUkolKqUmKaVWKaUqlVL/UkpZjHMTjJ8rjeeL+rzOrcbxbUqpM8K1XiFE7Nl2oE0aXIioZDXH0+X0BH0+UBdB8JUJtvUE3oOltWZHfWe//Vd+kZyF1eFwYTWbmF2QCsg+LCFE7AlLgKWUyge+D5RprWcCJuAi4HfAXVrrYqAZuNq45Gqg2Th+l3EeSqnpxnUzgDOB+5RSJoQQ4hDcHi/bD3RIgCWiks1iotsZvFlFoC6C4Gt0EaxEcH9bDx0Od7/9V34T0m3URmgWVofDQ1JCPDnJieQkJ7BJ9mEJIWJMOEsE4wGrUioesAH7gFOA54znHwfONR4vNX7GeP5UpZQyjj+ttXZorXcBlcCiMK5ZCBEjqho7cbq90kFQAKCUOtOohKhUSt0S4PlrlVIblFLrlFIfGF/w+Z+LeCWFzWKi2xU8g+UMksFKSTQHLRGsOGB0EMwOnMFyuL3UdzgOd8nD1ulwk5zoayk/Kz+VjXslwBJCxJawBFha61rg90A1vsCqFfgUaNFa+7+SqwHyjcf5wB7jWrdxfmbf4wGu6aWUukYpVa6UKq+vrw/9X0gIEXW2Gg0uJIMljMqHe4EvA9OBi/sGUIZ/aq1naa3nAncAfzSuHZVKCqvFNMwSwf5LSbWag3YRDNSi3e/gLKzw78PqdLhJSvCte0Z+KpV1HXQP8XcVQohoE64SwXR82adJQB6QhO+DKSy01g9qrcu01mXZ2dnhehshRBT5bHcLZpMK+Muk+MJZBFRqrXdqrZ3A0/g+o3pprftuBEoC/LVyo1JJ4SsRPHQGa1CJoDU+aIlgZX0HqVYzWXbLoOciOQur3eEmyeLLYM3MS8GrYct+2YclhIgd4SoRPA3YpbWu11q7gBeA44A0o2QQYAJQazyuBQoAjOdTgca+xwNcI4QQAXm8mtfW72VJaQ6JZtm2KYZdDXGDUmoHvgzW90dyrXF9yKoprGYTbq/uDaQGcrqNNu2mQCWCgfduVdZ1UJxjx1eB319+mj+DFf5GF50ON/YEI8DKNxpdyD4sIUQMCVeAVQ0sVkrZjL1UpwKbgeXA+cY5VwAvG49fMX7GeH6Z9u20fQW4yOgyOAkoAVaHac1CiBjx8Y5G6todfG1+wN+DhQhIa32v1noK8N/ATw/j+pBVU1iNDE+wLFZviaB5QBdBq5lulydgYLajriPg/iuI7CysTocbu7EHa3xqIhlJFgmwhBAxJVx7sFbha1bxGbDBeJ8H8X1o3ayUqsS3x+oR45JHgEzj+M3ALcbrbAKewRec/Ru4QWsthdpCiCG9sLaG5IR4TpmWM9pLEWPDSKshnuZgE6ZRqaSwWXyZ1y5X4GxUb4ngwAyW1TdAeOA+rOZOJ42dziFLZiM1C6vD4SbJyGAppZiRl8LGWikRFELEjvhDn3J4tNY/B34+4PBOAtSua617gG8EeZ3fAL8J+QKFEDGpy+nmrY37OXt2npQHCr81QIlRCVGLr2nFJX1PUEqVaK0rjB+/AvgfvwL8Uyn1R3x7iiNSSdEbYAXJYDk9XuIUxA8KsHwf623dLrL6DNiurDcaXOQOHWBt3dd+ROsejo4+JYLg6yT44MqdONyeQU07hBAiGoWzTbsQQkTcO5sP0On0cJ6UBwqD0Z32e8BbwBbgGa31JqXUbUqpc4zTvqeU2qSUWoevkuIK49pRqaSwGl8ODFUiGCgYSe3NYPXPfA3Vot2vIN1GTUs3Xm/4ZmG5PV56XN7eJhfg24fl9mq27+8I2/sKIUQkhS2DJYQQo+GltbXkp1lZVJQx2ksRY4jW+g3gjQHHftbn8Q+GuDbilRQ2/x6sILOwnG7voA6C4GtyAQzqJPjq53sZn5rY28wikAnpVpxuLw0dDnJSEg936UPqNAJG/x4sgJl5RqOLva3MmpAalvcVQohIkgyWECJm1Lc7WFnRwNK5ecTFDe6UJkS0sB6iRNARLMDyZ7D6BFgbalr5eGcjVx03acj/Lvyt2veEcR9Wh8OXWbMnHMy+FWRYSU6Ml0YXQoiYIQGWECJmvLZ+Lx6v5rx5Uh4ootvBEsHATS58+5UGf4SnBmhy8dD7O0lOiOeiRQWDzu/r4LDh8LVq7zQCrKQ+e7CUUszMS5UASwgRMyTAEkLEjJfW1jIjL4WS3OTRXooQR+SQTS6GWSJY09zF6xv2cfHRE0k2ngsmvzfAikQGq/8OhVkTUtmyvx2XJ/DcLyGEiCYSYAkhYsKO+g4+r2mV7JWICcMKsEyDP8ITzXGYTap32PBjH1ahgCuPLRrGe8aTGeZZWJ1BAqwZeSk43V4q66TRhRAi+kmAJYSICS+trSVOwTlz8kZ7KUIcMf8erCG7CAYYQ6CUItVqpq3HRWu3i6dXV3P27PHkDdHcoi/fLKzwlQh29AwuEQRfJ0FgzJQJLt9axw3//Gy0lyGEiFISYAkhop7WmhfX1nJccVbYup8JEUn+LoJDZbASAmSwwFcm2Nrt4qnV1XQ6PXz7hMnDft8J6TZqR6FEcFJmEvaEeD6vaQnbe4/EO1sO8Pr6fb3rFUKIkZAASwgR9T7d3UxNczdfk9lXIkaY4hSW+Ljgbdo9gfdgASRbzTR2OHjsw10cV5zZmx0ajgnp1rDOwgpWIhgXp5g3MY01u5rD8r5+W/a18d72+kOet6/FF2TWtzvCuh4hRGySAEsIEfVeW7+PRHMcp08fN9pLESJkbBbTkF0EgwVYqVYzq3Y1caDNwXdGkL2Cg7Ow6jvCE1h0BOgi6LeoKINtB9pp6XKG5b0B7npnOz959vNDnre3pQeAuraesK1FCBG7JMASQkS9T3Y2srAoI+AvbUJEK6vZNHSJYJAAKyUxHq1ham4yS0qzR/SeRVlJgK9pTDh0ODxYTHEBg8OFk3zDwcurwpfF2t3YRV27g54gmUG/va1GBitMgaYQIrZJgCWEiGqtXS62HWhnYVHGaC9FiJCyWkx0BSsRDNKmHQ4OG/72CZNQamQDt0tyfCMOwtXNr9PhJilhcHMOgLkFaZhNijVVTWF5b6011U2+Bh77WoNnptp6XLQbzTikRFAIcTgkwBJCRLXy3U1ojQRYIub4SgSDdxEM1KYdYHZ+KkeNT+GcuSPvqJmbkkByYjzbD7SP+Nrh6HS4sScGzjQnmk3MmZDG6jAFWPXtjt49bUM18tjXcjD4qpMASwhxGCTAEkJEtdVVTZhNvg3yQsQSmzmeriB7sJxuLwnmwB/hFy2ayJs/OIGE+MCZoqEopSjNTWb7gfBksNodbpIswUt5F07KYENNa9DA8kjsbjrYfn6oVvT+8kCQDJYQ4vBIgCWEiGprdjUxKz+VxAAzgYSIZtYhMli+QcPh+Xe+NNdOxYF2tA59J8FOh3tQB8G+FhVl4PZq1u4J/T6s6saDQVVtS/AM1l7juezkBMlgCSEOiwRYQoio1ePysKG2lUWTMkd7KUKEnM0SvMmFY4g9WEeqOCeZ5i4XjZ2h7+bn24MVPMCaX5iOUoSlXfvupi7ilC9wOlSJoClOMTMvRTJYQojDIgGWECJqra1uweXRLJqUPtpLESLkrBZTwDlYWmucnuBdBI9Uaa4dICz7sDqG2IMFvhbz08alhKXRRXVjJ+NTrUzKTKLmEBms3OQExqVaJcASQhwWCbCEEFFrTVUTSsGCQmlwIYamlDpTKbVNKVWplLolwPM3K6U2K6XWK6XeVUoV9nnOo5RaZ/x5JVJrtpoDlwg6PV6AsGWwSnN9nQQrwrAPq8Phxj7EHiyARUXpfLq7GZfx9wyV3U1dTMywkZ9uHTKDVdvSTV6alezkBBo7HbhDvA4hROyTAEsIEbVW72piam4yqUZbaiECUUqZgHuBLwPTgYuVUtMHnLYWKNNazwaeA+7o81y31nqu8eeciCya4CWCDrfvF/5wZbByksPXSbDT4TnkvLqFkzLodnnYtLctpO9d3dhFYaaN/DQr+9t6ggZO+1p7egMsraEpDKWSQojYJgGWECIquT1ePqtu5uhJkr0Sh7QIqNRa79RaO4GngaV9T9BaL9da+7sgfAJMiPAaB7Fa4ul2efB6+zebcIY5wPJ3EqwI8Swsr1fT6XRjDzIHy2+RMXJhza7QlQl2ONw0djqZmOnLYHm8mv1tg2dheb2afa3djE9LJCc5AZBW7UKIkZMASwgxJmmteXldLa9+vjfg85v2ttHl9LBQAixxaPnAnj4/1xjHgrkaeLPPz4lKqXKl1CdKqXODXaSUusY4r7y+vv7IVowvgwXQ4+6fxfIHWOEqEYTwdBLscnnQmiH3YAHkpCRSmGkL6TwsfwfBwowkJqRbgcCzsBo6Hbg8mnwjgwXSql0IMXJD3+WEECLEtNbc+dY2nG4v1500hUx7wqBzmjqd3PL8et7efACLKY55E9OYkG7rd45/E/wiGTAsQkgpdSlQBizpc7hQa12rlJoMLFNKbdBa7xh4rdb6QeBBgLKysiOOTPwBVpfTg63PviVHBAKskpxknuraQ0OHszfQOFKdDt9Mr0OVCIJvcPi7Ww7g9Wri4tQRv3d1UycAEzNsJBkZtECt2vcaQ4bHp1p7M1gSYAkhRkoyWEKIiPrHJ7u5b8UOHv5gF0vuXME9yyr6DVNdub2eM+9eyfJtddx4SjEouPs/FYNeZ/WuJgozbeSkJEZy+SI61QIFfX6eYBzrRyl1GvC/wDla697fqrXWtcY/dwIrgHnhXKyf1ZjtNrDRxcESwfDNfisxOglWhHAfVocRYA01B8tvUVEGzV0udtSHpkxxt5HBmphpIy/Nl8GqCZDB2mcEXXlpiWTZ/SWCg0sJhRBiKBJgCSEiZn1NC796bQsnT83m7ZtO5Ngpmfz+7e2cdOcK/rmqmtte3czlj64mxWrmpRuO40enT+XyxYW88FlNv1/0tNasqWpioWSvxPCsAUqUUpOUUhbgIqBfN0Cl1DzgAXzBVV2f4+lKqQTjcRZwHLA5Eov2Z60GNrroLRE0hbNE0OgkGMJ9WJ0jCLD8pb+hKhPc3dRFms1MqtVMotlElj3wLCx/Vis/zUqi2URKYrxksIQQIyYBlhAiIlq7XFz/5GdkJyfwxwvmUpqbzIOXl/HctcdQkGHjf17cwKMf7uKKYwp57cbjmZGXCsD1Jxdjs8Tzh7e3975WZV0HzV0uFsn+KzEMWms38D3gLWAL8IzWepNS6jallL8r4J2AHXh2QDv2o4BypdTnwHLgdq11RAIsq8X3ET1wFpbD2JMVzhLBnOQEUkLcSbCjZ/glgkWZNrKTE0LW6GJPUxeFGQfLjCekW4OWCFrNpt7OpDkpidLkQggxYmHbg6WUSgMeBmYCGrgK2Ab8CygCqoALtNbNSikF/Ak4C+gCrtRaf2a8zhXAT42X/bXW+vFwrVkIER5er+ZHz67jQFsPz3z3GNKTLL3PlRVl8Ny1x7BiWz0J5jiOnZLV79qMJAvfOWEyd/1nO+v2tDC3IK33W23ZfyWGS2v9BvDGgGM/6/P4tCDXfQTMCu/qArOa/Rksd7/j4e4iCL5OgiW5ySGdhTWSEkGlFIuKMlhT1RyS997d2MWcgrTen/PTrWwO0AZ+X2s3eWmJ+H4tgWx7gmSwhBAjFs4M1p+Af2utpwFz8H1reAvwrta6BHjX+Bl8s0lKjD/XAH8FUEplAD8HjsbXZvfnSqn0MK5ZiJjU3Onkf1/c0PsLTqQ9+P5O/rOljv856yjmTRz8n7BSipOn5QwKrvyuPmESmUkW7nxrK+Br35ydnEBhpi3g+ULEAn+Ti4F7sBxhHjTsV5prZ3td6DoJdjqHn8ECWFiUTm1LNzXNXYc+eQguj5falm4mZlh7j01I8w0bHtgCf68xZNgvJyVBMlhCiBELy91ZKZUKnAg8AqC1dmqtW/DNHfFnoB4H/O1ulwJPaJ9PgDSl1HjgDOAdrXWT1roZeAc4MxxrFiKWvblxP0+uquaDioaIv/eqnY3c+dY2vjJrPFceW3RYr2FPiOf6k4v5sLKRDysbWFPVzKKijN5vmYWIRX27CPblcEUmwCrJSaaly0VDR2gG7fpLBIeTwYKD+7DWHOE+rL0t3Xi8msKMpN5j+elWnB4vDR39g6e9rT3kpR4MsPwZrFC2qxdCxL5w3Z0nAfXAY0qptUqph5VSSUCu1nqfcc5+INd4HGxGybBml4R69ogQscb/C0ooO4INxevVfFTZwPefWstlj65mYoaN278+64gCom8ePZG81ER++tJGalu6Zf+ViHnWIBkspyf8XQShT6OLEN03Ohy+v8dwA6xp41JISYznuU9rBmWaRqJvB0G/fH8nwT77sBxuD/XtjkEZrG6Xh84B/x8IIcRQwhVgxQPzgb9qrecBnRwsBwRA+74OCslXQlrrB7XWZVrrsuzs7FC8pBAxxR9gbQ9hR7BA6tp6uGdZBSf9fgWXPLyKFdvquHhhAX+/ehHJieYjeu1Es4kfnlbKrgbfPBvpIChi3cEugpHfgwUHW7WHqtFFp8NNnIJE8/DWbYpT/PeXp/FhZSN/XjZ4VMNwVTcZQ4Yz+za58D3u20lwf6sxAyvt4OgH/wywujZp1S6EGL5wNbmoAWq01quMn5/DF2AdUEqN11rvM0oA/a1wg80oqQVOGnB8RZjWLERM2tfa3TvvJZwZLLfHy9J7P2Rfaw/HTM7kR6eXcsaMcSSaQ/ct+9fm5/PAyh3UtTuYOi45ZK8rxFjUWyI4Cl0E4WAnwVC1au9wuElKiB9RJvuSRRP5bHcLf3q3gjkFaZw8NWfE71vd1IUlPo7c5IOBU366L0vVt5Ogf8hwflrfEkHfNfXtDiZn20f83kKIL6aw3J211vuBPUqpqcahU/HNDXkFuMI4dgXwsvH4FeBy5bMYaDVKCd8CTjfmkKQDpxvHhBDD5O/CdVxxJjvrO3Eb5UWhtnZPC/tae7jrwjk8dc1ils7ND2lwBRBviuOvly7g/ksXYIqT/VcitiXEx6EU9AQdNBzeAEspRWkIOwl2ONwkD7M8sO8afn3uTKaNS+GHT69jT9PIG17sbuykIN1KXJ97hj0hnlSruV8Djb1GsDU+9WAglpPiHzYsjS6EEMMXzrvzjcCTSqn1wFzgt8DtwJeUUhXAacbP4GuduxOoBB4CrgfQWjcBv8I3JHINcJtxTAgxTGt2NZFkMbF0Tj5Oj5eqxiPryBXMyu31mOIUp0zLPfTJR6A0N5njigN3GxQiliilsJpNwQcNhznAAijJTQ5ZJ8FOI4M1UlaLifsvnY9Xa6578lN6XCPbD7W7sYvCzKRBx/ONToJ++1p9j/PS+je5AKRVuxBiRMJ2d9ZarzP2Rc3WWp+rtW7WWjdqrU/VWpdorU/zB0tG98AbtNZTtNaztNblfV7nUa11sfHnsXCtV4hYtaaqifmF6Uwbf+gN6063l9te3UyVsc9pJN7bXs+8grTeAZ1CiCNns5gClAgaAZYpAgFWjp2WLhf1HUceYHQcZoAFUJiZxN0XzmVjbRs/e3njsK/TWlPd1MXEjMEjHQYOG65t6SEzydIv855mM2M2qZD8/YUQXxzhvzsLIUZNa7eLbQfaKSvMoDjHv2E9eLlP+e4mHv1wF9f+Y2TfEjd2ONhQ28qJpdJkRohQslpMg7sIur2Y4hTxEQiw/J0EK0NQJtjpcA+7g2Agpx6Vy42nFPNMeQ33Lq8cVmfBxk4nXU5PwJl5+em+DJY/O7evtbtfgwvwZRGz7QnUtUmAJYQYPgmwhIhhn+1uRmtYOCkdmyWeggwr2+uCZ7DWVrcAsHV/O796bfOw3+eDyga0hiUSYAkRUjZz/OAugh5vRLJX4Bs2DKHpJNhxhAEWwA9PK+XMGeO4861tfP3+j9i6v23I83tbtAfIYOWnWel0emjpcgHGkOE+M7D8spMTJIMlhBgRCbCEiGFrqpqIj1PMK0gHoDQnecgSwbXVLUzOTuK7J07myVXVvL5+X9Bz+3pvWz0ZSRZm5aeGZN1CCB+rZfAeLIfLE5H9V+ALLlIS40My4qHT4TnsEkE/U5zir5fO564L57C7sYuz//wBt7+5dVCWz6+6yVfuHCiDNWFAJ8G9LT399l/5ZScnSpt2IcSISIAlRAxbU9XEzPzU3oGlJbnJ7GroxBWgk6DWmnV7mplXkM6Pz5jKvIlp3PL8eqoP0RTD69WsrGjg+OKsfl26hBBHzhaoRNDjDXsHQb+DnQRDlcE68s6iSinOmzeBd29ewtfm53P/ezs4/e73WL1rcA+s3Y1dKHVw7lVf/mM1zd209bjocLjJG1AiCL4gs0EyWEKIEZAAS4gY1ePy8PmeVhYWpfceK8214/JodjcObmJR09xNQ4eTeRPTMJvi+PNF81AKbnzqs96uZYFs3tdGQ4dDygOFCANboAyW2xuxDBYYnQQPdBxRJ0Gt9RE1uQgkPcnCHefP4elrFmNSiu/+vZzmTme/c6qbuhiXkhhwZIR/3lVtS3dvi/ZAGayc5AQaO51hG3EhhIg9EmAJEaM21rbi9HgpK8roPebfsB6o0cVn1b55WfMmpgFQkGHjjvNn83lNK3f8e2vQ93lvez0AJ5RK63QhQi3RbBrUcCbSAVZprp3WbtcRtSp3uL14vBp7YugCLL/FkzO5/7IFtPe4uf3N/veq6sYuCgLsvwJfh0CbxURNcxf7jCHD44PswdLa1zBDCCGGQwIsIWLU6ipfuUxZ4cEM1pRsO0oF3rC+troFq9nEVCMIAzhz5niuOKaQhz/YxfJtdQHfZ+X2eqaPTyEneXBpjRDiyATKYDndXhLiQzvEeygLjHvIfz+/fsQzqPw6HL5GHUfa5CKYaeNSuPqESfyrfA9rqg6WCu5u6qIwSICllOqdheXfh5UfcA+WzMISQoyMBFhCxKjyqmamZCeRaQzKBN+G+YkZNioCZLDW7mlh9oTUQa2fbz3rKEpz7fzPCxto73H1e669x8Wnu5tZMlXKA4UIB5slQBfBCGewZk9I47fnzWL5tnq+80T5YQVZnUaAlWQJT4AF8INTS8hPs/K/L27A5fHS5XRT3+4I2ODCzz8La19rN/FxqjeY6ivHOFbXLo0uhBDDIwGWEDHI69WUVzWxaFLGoOdKcpIHZbB6XB42721l3sT0Qecnmk3ccf4cDrT18H8Dym8+2tGI26tl/5UY85RSZyqltimlKpVStwR4/mal1Gal1Hql1LtKqcI+z12hlKow/lwRyXVbLSa6XQEyWBFq0+53ydETueP82XxQ2cBVf1sTtGtfMO09RgYrDCWCfjZLPL88ZwbbD3TwyAe7qG4yWrRnJgW9Jt8IsPa29JCbkogpQKMeyWAJIUZKAiwhYtD2unbaetyUFQ4OsEpz7exq6OzXuGLT3jZcHt27/2qguQVpXH38JP65qpqPdzT2Hl+5vZ4ki4n5AQIzIcYKpZQJuBf4MjAduFgpNX3AaWuBMq31bOA54A7j2gzg58DRwCLg50qpiP0LbzObcHl0v86fDnfk2rT3dUFZAX/4xhw+2dnIlY+t7s1KDUdnmEsE/U6bnsvp03O5+z/b+ajSd68KViIIkJ9mo6XLRUVde8AOgnAwwJJhw0KI4ZIAS4gYtMZoVxwog1Wam4zbq6nq00lwrb/BRUHgAAvg5i9NpTDTxi0vrKfb6UFrzXvb6zm2OGtUftkTYgQWAZVa651aayfwNLC07wla6+Vaa/9Mgk+ACcbjM4B3tNZNWutm4B3gzAitu3fEQt99WJFs0z7Q1+ZP4K4L51K+u5krH1s97LK5TqPMMZRdBIP5+TkziFOK3xnNeQINGfbLN2Zhbd7bFrCDIEBCvIlUq1mGDQshhk1+KxIiBq2paiY3JaF3kGZfJbl2oH+ji7V7WshPs5KTErxRhdVi4vavzWZ3Yxd/eHsbOxs6qWnulvJAEQ3ygT19fq4xjgVzNfDmSK9VSl2jlCpXSpXX19cfwXIPshl7lvqW5EV6D9ZAS+fm8+eL5rFuTwsn37mC+1ZUHnJfVofD93wo5mAdSn6alR+eVoLD7SU5MZ40mznouf57pFcHbtHul52cICWCQohhkwBLiBhUXtVEWVEGSg3eTzAl206c6t+qfV11S9DywL6OmZLJJUdP5NEPd3HPskoACbBETFFKXQqUAXeO9Fqt9YNa6zKtdVl2dmj+u7BafB/TfRtdRLpNeyBfmT2et354IsdMyeKOf2/jtD++xxsb9gWdldXh34OVEDzYCaVvHTeJo8anMG1ccsD7oN+EPkFVXmrwL5hykhOokwBLCDFMEmAJEWNqmrvY29rDoqLB5YHga1pRmJlEhZHBOtDWQ21L97D3Ud365WnkpiTy4tpaJmclBZ0xI8QYUgsU9Pl5gnGsH6XUacD/AudorR0juTZcrGYjg+Xqn8EarRLBviZn23n4ijL+cfXRJFniuf7Jz7jwwU9o6Ro8L6q3i2AEMlgAZlMcT1+zmAcuKxvyvCx7AhajYYhksIQQoTL6d2ghREj5B/8uDBJgAZTk2HtLBNcOGDB8KMmJZn5z3kwATpTslYgOa4ASpdQkpZQFuAh4pe8JSql5wAP4n1bcLwAAIABJREFUgqu+Q9/eAk5XSqUbzS1ON45FhM3YgzWWSgQHOr4ki9e/fzy/PGcGq3c18er6fYPO6YhAm/aBUq1mMpIsQ54TF6d6m1sEGjLs58tg9QTN0AkhRF9j5w4thDhiWmv+/vFupo9P4ajxyUHPK81NpqqxC4fbw9rqFiymOKbnpQz7fU6ZlssjV5Rxw8nFoVi2EGGltXYD38MXGG0BntFab1JK3aaUOsc47U7ADjyrlFqnlHrFuLYJ+BW+IG0NcJtxLCJsAZpcONxeLKbIDRoejnhTHJcfU4g9IZ4ddYPn7HU43NgsJuICtEEfbRPSfVn4QEOG/bKTE+hxeXsDRSGEGErkvkoSQoTdmqpmtu5v5/avzRpy30FJrh2PV7OroZO11S3MyE8hIX5kv7CdelTukS5XiIjRWr8BvDHg2M/6PD5tiGsfBR4N3+qCC9hF0O0lwTz2vh9VSjElx05FXfug5zod7rC3aD9cBRk2khPiSbEGX19vq/Z2B8mJkdlHJoSIXmPvDi2EOGyPf1xFSmI8S+cO1SDNl8EC2LKvjfW1LcwrkDlWQoxFvV0EXb7MidYap8fbu29orCnJsVNxIHAGa6wGWDeeUszDV5QN+aVUTrKvjFD2YQkhhmNs3qGFECN2oK2Htzbu58KFBb3fegczOTsJU5zilXV76XF5h73/SggRWQNLBB3GgPCxtAerr5IcO3XtDlq7Xf2OdzrcEZmBdTjy0qwcPTlzyHP8GSwJsIQQwzE279BCiBH756pqPFpz6eLCQ56bEG+iMNPW2xBDAiwhxqZEc/8mF06PL8AaC10EAynO8c3ZqxywD6vD4Y5YB8FwyOlTIhgKjR0O/vD2Nk75wwo21raG5DWFEGPH2LxDCyFGxOn28s/V1ZxUmk1hZtKwrinNScarfd/MDrW5WwgxegZ2EXS6x3aAVZLjKz+uHLAPq8PhidgMrHBItZqxmOKOOIO1t6WbX766ieN+t4x7lleyp6mLB1fuDNEqhRBjxdjM1wshRuStTfupb3dw+bFFw76mNNfOvzfBvIK0IfceCCFGj9kUh9mk6HJFR4lgfrqVRHPcoH1YviYX0ZvBUkqRbbRqPxwOt4dfvLKJ5z6twavh3Ln5XHfSZP7xSTVPrtpNQ8d0suwJI3rNDocbm3lsdmYU4otubN6hhRAj8sTHVRRm2lhSMvy5VCVGo4t5wxwwLIQYHVazKUAGa2wGK6Y4xeQsOxUBSwSj+zvdrCMYNvz6+n08tXoP5y8o4L2fnMQfLphDcU4yly6eiMujeaZ8z7BfS2vNU6urmX/bOzz0vmS/hBiLJMASIspt3tvGmqpmLltcOKJvMhcWZTApK4lTj8oJ4+qEEEfKZomny+nrIugc4xks8I2BCLQHa6x2ERyubPvhB1gfVDSQkWThN+fO7J27BVCck8ziyRm+PbTeQw8x7nF5+O/n13PrCxtwe728sWHwUGchxOgbu3doIcSw/P2TKhLNcXxjQcGIrhuXmsjyH5/U27JdCDE22SymPl0Eff8cq23awddJsLalm05jKK/L48Xp9kZ9gJWTcngBltaalRUNHFecFfBLsG8eXUhNczcrjaZDwexp6uLrf/2IZ8pruPGUYm48pYT1ta00dkhnQyHGmrDdoZVSJqXUWqXUa8bPk5RSq5RSlUqpfymlLMbxBOPnSuP5oj6vcatxfJtS6oxwrVWIaNXa5eLFtbWcOzefVFv0biAXQgRntQQoERyDg4b9io1GFzvqfVksf6AV7SWC2fYEmrqcvf8fDNfW/e00dDg4oSQr4PNnzBhHlj2BJ1ftDvoay7fVcfZfPmBPUxePXFHGj06fyinTctAa3q9oGNF6hBDhF8479A+ALX1+/h1wl9a6GGgGrjaOXw00G8fvMs5DKTUduAiYAZwJ3KeUGptF50KMkn+urqbH5eWyYw7dml0IEZ2s5oMZrN4SwTGcwfK3avc3umjv8QVY0Z7Bmpmfitbw4Y6RBTQfGAFQsADLEh/HhQsnsGxrHbUt3YOef3vTfq7+2xry0qy8duMJnHpULgCz8lPJSLKwYlvdCP8mQohwC8sdWik1AfgK8LDxswJOAZ4zTnkcONd4vNT4GeP5U43zlwJPa60dWutdQCWwKBzrFSIadTs9PPLBTk4oyWJGXupoL0cIESZWiylquggCFGbaMJsUlf4MlrF/zJ4Y3QHWiaVZpCTG8/La2hFdt7KinuIcO+NTg4/DuHjRRDTw1KrqfsfLq5q48am1zJqQxvPXHcPEzIP7t+LiFCeWZLGyogHvMPZvjQWNHQ5eXjey//2EiEbhukPfDfwX4M+jZwItWmu38XMNkG88zgf2ABjPtxrn9x4PcE0/SqlrlFLlSqny+vqha5iFiBVPr6mmocPJjaeUjPZShBBhZLOY6HH2D7DGahdB8LWWn5SV1JvBipUSwYR4E1+ZPZ63Nx/obTpyKD0uD6t3NQXNXvlNSLdxytQcnl6zpzdLWVnXztWPl5OfZuWxKxdiswz+3++kqTk0dTrZMMxhxVprGjocrK9pob3HNaxrQsXr1dz41Fp+8PQ6apq7IvreQkRayO92SqmzgTqt9adKqZNC/fqBaK0fBB4EKCsri46vcYQ4Ag63hwfe28miSRksmpQx2ssRQoSRzRJPl8voIugZ+xks8JUJbt7bBviGDANRPQfLb+ncfJ5avYd3Nh9g6dyA3/n2U17VjMPt5cRhjNC4dHEh7/5tDW9v3k9ZYQaXP7IaS3wcj1+1iIwkS8BrTijJQilYsa2eOQVpAc/515pq3ty4n5rmbmqau+hx+f4dyk+z8uy1x5A3xKD5bfvb6XZ5mBvktUfiH6t289GORgAq6zr6dVMUItaE4w59HHCOUqoKeBpfaeCfgDSllD+gmwD4c8S1QAGA8Xwq0Nj3eIBrhPhCe+GzWva39XDjKcWjvRQhRJj1bXLhMEoFE8Z8gJVMdVMXPS4PHT2xkcECWFSUQV5qIi+v2zus89+vqMdsUhw9+dBfhJ1Yms2EdCuPfLCLKx9bTVuPm8euXEhBRvBAJNOewOz8VN7bHngfVmVdB7e8sIGqhk6Ks+1cenQhv/jqdO48fzZt3S4ufXhV0M6Ib23azzn3fMClD6+iqdM5rL9vMFUNnfzfG1tZUJjeuy4hYlnI79Ba61u11hO01kX4mlQs01p/E1gOnG+cdgXwsvH4FeNnjOeXaa21cfwio8vgJKAEWB3q9QoRbdweL/etqGROQRrHFw9ddiKEiH62vk0uPP4SwbEdYJXk2PFq2NXQ2VsiGO1NLsC37+mrc/NYub1+WEHHyooGFhSmByzvG8gUp7jk6ImsrW5hR30HD1y2gJn5h95fu2RqDuv2tNDSNXg99y2vJDHexPPXHcv9ly3gp2dP58rjJvGNsgIe+9ZC9rX2cNkjqwZd+/ePq7juH58yOdtOp9PN/e/tOOQ6gvF4NT9+9nPMJsW9l8wn3Wbu7TApRKyK5B36v4GblVKV+PZYPWIcfwTINI7fDNwCoLXeBDwDbAb+DdygtfZEcL1CjEmvfL6XPU3d3HhyMb5+MEKIQ1FKnWmM/KhUSt0S4PkTlVKfKaXcSqnzBzznUUqtM/68ErlV+9gsJrpdHrTWUTFoGHzDhgEq6jroiKEAC+Dcufm4vZrX1w+dxapvd7BlXxsnDKM80O/CsgLmTUzjrgvnctwwv0BbUpqNV/uCub6qGjp5aV0tly6eSKY9YdB1ZUUZPHR5GTvrO7ni0dW097jQWnPHv7fy/17exCnTcnjhumM5b14+j39UxYG2nmH/Pfp65IOdlO9u5pdLZzAuNZEp2XZ21HUe1msJES3CeofWWq/QWp9tPN6ptV6ktS7WWn9Da+0wjvcYPxcbz+/sc/1vtNZTtNZTtdZvhnOtQkQDj1dz7/JKpo1L5tSjckZ7OUJEBWPEx73Al4HpwMXGKJC+qoErgX8GeIlurfVc4885YV1sAIkWE1pDj8sbFV0EASZlJRGnoPJAe2+AFQslggDTxiVTmmvnpUOUCX5YOXR79kAy7Qm8eP1xnD07b9jXzC1II81m5r1t/Zt83bu8ErMpju+cODnotceXZHHfN+ezaW8bVz9ezo+e/Zz7Vuzg4kUTuf/SBVgtJm46rRSv1vxlWcWw1+S3/UA7v39rO2fMyOVcY89acY69t8OkELFqbN+hhRD9/HvjfnbUd/K9UyR7JcQILAIqjS/6nPj2By/te4LWukprvZ6D3W/HDJvZ1xyiy+mOijlY4Ou4V5iZREVdB50ON5b4OMxjfM3DpZRi6dx8Pt3dzJ6m4N3w3q9oIN1mDvsYDVOc4oSSbN7bXt/brn1PUxcvrq3l4kUTyUlOHPL606bncteFc1lT1cQLn9Vy85dK+e15M4k3/v8qyLBx4cICnl69h+rG4Xf/c3m8/OiZz7EnxvOb82b1fmZNybbT1Ok84n1dQoxlsXG3E+ILQGvNPcsrmZydxJdnjh/t5QgRTYY99iOIRGMUyCdKqXODnRSukSH+/TtdTg9OtxdTnOr95XcsK86xU2mUCCbHSPbKb+lcX4bplc8DZ7G01rxfUc9xxVmY4sL/ZdiS0mwaOhxs3ufr3Hjfih3EKcW1S6YM6/qvzsnj4cvLuP/SBXz/1JJBX+DdeEoJpjjF3e9uP+RrNXU6efyjKs6770M21Lby2/NmktWnRNE/iFr2YYlYFlt3PCFijNPtZfuBdjbUtrJ6VxNb9rXxh2/MicgHthCiV6HWulYpNRlYppTaoLUetOs/XCNDrBZfBqvH5cHh9oz57JVfcY6d5VvrKB2XHDPlgX4T0m0sLErnpbW1XH/SlEEByfYDHdS1O4bVnj0UlpT63ue97fWkJ1l47tM9XLiwgHGpQ2ev+jr1qNygz+WmJHLlsUU8+P5Orl0yhdLc5H7Puzxe3t1Sxwuf1bB8Wx0uj2b6+BRu/9oszhzwhaA/wKqs62BhkYwZEbEptu54QsSI1bua+PXrm9m6r723a1hyYjznzMnjnLnDr80XQgBHOPZDa11r/HOnUmoFMA84/LZqI2Sz+EsEfRmsBHN0BFglOXbcXs2m2taYC7DANxPrpy9tZPO+tkFlgO9X+DKYx49g/9WRyE5OYGZ+Ciu21fU2o7jupNCO8bh2yRSeXFXNH9/ezv2XLQCg2+nh6TXVPLRyJ3tbe8iyJ3DFMUV8fcEEjhqfEvB18tKsJMTHsUNatYsYFnt3PCGinMerufWF9XQ5PXzruCJm5qcye0IqEzNssu9KiMOzBigxRn7U4hshcslwLlRKpQNdWmuHUioL36zHO8K20gCsfQMsjzdqMlglOb4sR1VjFwuL0kd5NaF31qzx/OKVTby8bm+AAKuBKdlJQw7xDbUlpdnc/95OPq9p5fwFE8gP8XunJ1n4zgmTues/2/mgooG11c089lEVTZ1OFhal88ulMzl5avYhy1dNcYrJ2dLoQsQ2CbCEGGPe2LCPHfWd3HvJfL4yW/ZaCXGktNZupdT3gLcAE/Co1nqTUuo2oFxr/YpSaiHwIpAOfFUp9Uut9QzgKOABpZQX377l27XWmyO5fv8erG6XG4fLO+Y7CPpNyUnqfRwrLdr7ykiysKQ0m5fW1lKSYycvzUpempWMJAurdjVy0cKJEV3PSVNzuHe5L7F63ZLwDKG/6vgi/vbRLi59ZBUAJ0/N5vqTi0dc6lecY2fdnuZwLFGIMSH27nhCRDGvV3PPskqKc+x8eea40V6OEDFDa/0G8MaAYz/r83gNvtLBgdd9BMwK+wKHYDUfzGA5PNETYNks8eSnWalt6Y7JEkGAby6eyHee+JSfPLd+0HMjac8eCvMK0siyJ3DaUTlMzLSF5T2SE8385rxZrNhWxxXHFh12h8Qp2Um8tn4vPS4Pica/30LEkti84wkRpd7evJ9tB9q5+8K5xEkjCyEEAfZgxUfPL6QluXZqW7pjMoMFcMq0XDbfdgb7W3vY29LD3pZu9rZ04/R4RzRgOBTiTXG8c9OJYQ9mz5o1nrNmHVl1RXGOHa19nQTD3cZeiNEQm3c8IaKQ1pq/LKtkUlYSZ0tpoBDC4N+D1e304HBHTwYLfI0uVmyrj9kACw7O/CrMTDr0yWGWnmQZ7SUMy5Rsf6v2TgmwREyKnru0EDFu2dY6Nu1t4/qTpkTFjBshRGT4M1jdLg9Ot4eEKLo/+Ftyx2qJoDg8k7KSiFO+Vu1CxKLouUsLEcO01vz53QompFs5d95I5p8KIWJdYnx0tmkHKDY6CcZyBkuMXKLZREGGTYYNi5gVPXdpIWLYyooGPq9p5YaTizFH0bfTQojwi4tTWM0mup1uX4lgFN0jjhqfzFHjU5iZL2Vgor8p2XaZhSVilnylJMQo82ev8lIT+fr8QU3MhBACm8XUm8GKpj1YNks8b/7ghNFehhiDinPsfFDZgMerMUlTJxFjoucuLUSM+rCykU93N3PtSVOi6hcnIUTkJJpNdBuDhhPkPiFiwJTsJJxuLzXNXaO9FCFCTu7SQowSrTXPlu/hmr+Xk5eayAVlBaO9JCHEGOXPYEXToGEhhuJvgCKNLkQskru0EKOgtdvFjU+t5SfPrWf2hFSeu+5YGbYohAjKZjHR5fJlsCTAErHgYKv2wQGWw+3hjQ378Hh1pJclREjIXVqICFtT1cRZf3qfNzfu5ydnTOXJby8mL8062ssSQoxhVouvyUW0DRoWIpg0m4UsuyVgBuuhlTu5/snPeP7TmlFYmRBHTgIsISLo8Y+quPCBjzHFKZ679hhuOLlYNvcKIQ7JZomn2+XB4fZIBkvEjCnZdnbUd/Y71trt4sGVOwH4y/IKXB7vaCxNiCMid2khImT51jp+8eomTpmWy+vfP555E9NHe0lCiChhtZjocnhweXRUtWkXYijFOXYq6zrQ+mAp4CMf7KKtx82PTy9lT1O3ZLFEVJK7tBARsKO+g+8/tZbp41P4y8XzSE40j/aShBBRxGY20dLtAoiqQcNCDGVKtp3WbhcNHU4AmjudPPrBLs6aNY4bTi5mTkEaf1lWidMtWSwRXeQuLUSYtfW4+M4T5Zjj43jgsgVYLbJ/QggxMlaLiVYjwJIMlogV/k6C/kYXD6zcSafTzQ9PK0UpxQ9PK6G2pZvnJIsloozcpYUII69Xc9PT66hu7OK+b85nQrpttJckhIhCVoupt6OazMESsWJKn1bt9e0OHv+oinPm5FGamwzASaXZzC1I497lksUS0UXu0kKE0R/f2c67W+v42Vens3hy5mgvRwgRpWzm+N7H0kVQxIq81ERsFhM76ju4/70dONwefnBqSe/zSilu+lIptS3dPFO+ZxRXKsTISIAlRJi8uWEf9yyv5MKyAi5bXDjayxHiC00pdaZSaptSqlIpdUuA509USn2mlHIrpc4f8NwVSqkK488VkVv1QbY+pcXSRVDECqUUU7LtfLKziX98spuvz5/AZGM+lt+JJVnMn+jLYjncnlFaqRAjE5a7tFKqQCm1XCm1WSm1SSn1A+N4hlLqHeND6h2lVLpxXCml/mx88K1XSs3v81qj/sEmxEi1drn435c2MqcgjdvOnYFS0opdiNGilDIB9wJfBqYDFyulpg84rRq4EvjngGszgJ8DRwOLgJ/7P7siySoBlohRU7KT2LKvDY9X8/0+2Ss/fxZrX2sPz6yRLJaIDuG6S7uBH2mtpwOLgRuMD7NbgHe11iXAu8bP4PvQKzH+XAP8FcbOB5sQI/Wndyto7nLy2/NmSjmPEKNvEVCptd6ptXYCTwNL+56gta7SWq8HBm70OAN4R2vdpLVuBt4BzozEovvqm8GSPVgilvgbXVywsICCjMD7lI8vzqKsMJ17l++QLJaICmG5S2ut92mtPzMetwNbgHx8H2iPG6c9DpxrPF4KPKF9PgHSlFLjGSMfbEKMRGVdO098XMVFCycyIy91tJcjhPB9/vT96rvGOBbSa5VS1yilypVS5fX19Ye10GCkRFDEquOKsyjJsXPjKcVBz1FKcfOXStnf1sPD7++K4OqEODxhv0srpYqAecAqIFdrvc94aj+QazwO9gE2rA+2cH6oCTESWmtue20LVouJH59eOtrLEUJEkNb6Qa11mda6LDs7O6SvnWjuE2BJm3YRQ+ZNTOedm5cwPtU65HnHFmdx5oxx/GVZBXuauiK0OiEOT1jv0kopO/A88EOtdVvf57RvbLcOeOEIhfNDTYiRWLa1jpXb6/nhaaVk2hNGezlCCJ9aoKDPzxOMY+G+NmRslj5dBM1Sdiy+mH721enEKcUvX90c9BytNcu2HqCxwxHBlQnRX9gCLKWUGV9w9aTW+gXj8AGj9A/jn3XG8WAfYGPig02I4XC6vfzqtc1MyU7i8mOka6AQY8gaoEQpNUkpZQEuAl4Z5rVvAacrpdKNPcCnG8ciql+JoGSwxBdUXpqVH5xawn+2HOCdzQcGPa+15nf/3sZVfyvn5N+v4O+f7O6dHydEJIWri6ACHgG2aK3/2OepVwB/J8ArgJf7HL/c6Ca4GGg1SgnHxAebEH4er+Y3r2/m5y9vZPPefklZHvtwF1WNXfzsqzMwyy9AQowZWms38D18nx9bgGe01puUUrcppc4BUEotVErVAN8AHlBKbTKubQJ+hS9IWwPcZhyLKOkiKITPVcdPojTXzi9e2US3s3/Di3uXV3L/ezv42rx8ZuSl8v9e2si5937Iuj0to7Ra8UUVf+hTDstxwGXABqXUOuPY/wC3A88opa4GdgMXGM+9AZwFVAJdwLfA98GmlPJ/sMEofbAJAb5vxn728kaeXFWN2aR4/OPdzClI4+KFBSyenMlfllVy6rQclpRKmaoQY43W+g18nzV9j/2sz+M1+KokAl37KPBoWBd4CNJFUAgfsymOX587iwse+Jh7llfwkzOmAfDoB7v4/dvb+dq8fH7/jTkoBa98vpffvL6F8+77kIsWTuT8BfkUZyeTajOP8t9CxLqwBFha6w+AYIN/Tg1wvgZuCPJao/7BJgTAXe9s58lV1Xx3yWSuPXEKL66t5ek11dzywgYAzCbFT88eOFpHCCGOnM3cZw+WBFjiC27RpAy+Pn8CD67cyXnz8vl0dzO3vbaZM2eM447zZxMX5/sVdOncfE6ZlsPd/6ngbx9V8dTqagCy7AmU5NgpybVz0cKJTM9Lifjfwen2sruxkx31HVTWdbCjvhOzSfHj06eSk5IY8fWI0ApXBkuImPLYh7v487JKLiibwC1nTkMpxVXHT+JbxxXxWXUzz5bXMCM/lUlZSaO9VCFEDJISQSH6u/WsabyzeT/feeJTqho7WVKazZ8unkv8gBL95EQz/+/s6XznhMls2ttKZZ0voKms7+D5T2t4tryGuy+ayxkzxkVk3R6v5pevbuLJVdX99oflpSbS2Onknc0H+M15szhr1viIrEeEhwRYQhzCS2tr+eWrmzl9ei6/PW8Wvi2GPkopFhRmsKAwYxRXKISIdWaTwhSn8Hi1DC8XAl8W6r/OnMZPX9rIokkZ3H/pgiH/2xiXmsi41EROPSq391hdew/XPPEp1/7jU/7rjGlcu2Ryv8/4UHO4Pdz8r895fcM+LiibwLFTspiSbWdydhJJCfFU1nVw8zPruP7JzzhvXj6/OGcGqVYpZ4xGEmAJMYTlW+v48bOfs3hyBn++eN6gb8aEECISlFLYzCbaHW7JYAlhuGTRRMalJHLMlMx+Wd7hyklO5OlrFvPjZz/nd//eys76Dn5z3qyw/DfW5XTz3b9/yvsVDfz0K0fx7RMmDzqnOMfO89cdyz3LKrlneSWrdjby+2/M4djirJCvR4SX3KWFCOLdLQf47j8+Zdr4ZB66vKzfoE8hhIg0q8WEKc6XyRJCQFyc4rTpuSQlHH6+INFs4i8Xz+MHp5bw7Kc1XPrIKva2dIdwldDa5eLSh1fxYWUDd3x9dsDgys9siuOmL5Xy/HXHkmg2cekjq3ji46qQrkeEn2SwhAjg1c/3ctO/1nHU+BQev2oRyYmSohdCjC6bxUSHQ74XFSLUlFLc9KVSJmcn8ZPn1nPs7cuYkZfCyVNzOHlaDnML0g77i42a5i6+/Xg5O+s7ue+b8zlz5vD2Vs0tSOO17x/P959ax89e3sSepi5u/fJRvQ08xNgmAZYQAzy9uppbX9zAwqIMHrmiTIIrIcSYYLXEY4l3jfYyhIhZS+fmM3tCGm9u3MfyrXXct8JXqpduM3PDycVDZp78tNZsrG3j3a0HWLa1jvU1rdgsJh69ciHHl4ys1M9mieeByxZw26ubeOj9XdS2dPPHC+ZKRU0UkABLiD4efn8nv359C0tKs7n/0gWHVdMthBDhYLOYsMg+UCHCalJWEtefVMz1JxXT0uVkZUUDz5bv4devbyE+TnHlcZMCXqe15r4VO3ji4yoOtDlQCuYVpPGTM6Zy9uzxFGYeXpdhU5ziF+fMoCDDxq9f38KBtlU8dHkZGUmWI/hbinCTAEt8IbV2udjX1k1Ll4uWLhdt3S7W17bwj0+qOWvWOO6+cJ5sJBdCjCk2i0nuS0JEUJrNwjlz8jhr5jiue/IzfvHqZtJsFs6dl9/vPKfby38/v54X19Zy0tRs/uuMPE6amk2mPSEk61BK8e0TJpOXZuWH/1rHWX96n6MnZzA5y9eBcEq2ncJMG1azSUoIxwgJsMQXitvj5cH3d3L3OxU4Pd5Bz1+0sIBfnztTugUKIcacJEs8VikNEiLi4k1x/OXieXzrsTX86NnPSU6M72333trl4rv/KOeTnU38+PRSbji5OGyt3s+aNZ7clET+/G4F5VXNvLxu7+C1xiks8XFY4uNItZq5+UulLJ2bH+DVRDgprfWhz4oiZWVlury8fLSXIcag7Qfa+cmzn/N5TStfnjmOr87JI81qJtVmJs1mIc1qPqJOREKIyFFKfaq1LhvtdQQTjs+ijbWttHS5RryPQwgRGu09Li55aBX0w7G4AAAUoklEQVTbD7TzxFWLyEuz8q2/rWF3Yyd3nj9nUGYr3LqdHnY1dLKzoYM9Td043B6cbq/vj8fLuj0trK9p5dy5edx27kxSZE95yAX7LJLfJkXMc3u8PLByJ3/6TwX2xHjuvWQ+X5ktE9KFENFlZn7qaC9BiC+05EQzf/vWQi544GO+/Xg5CWYTTreHv199NIsnZ0Z8PVaLiel5KUzPSwn4vNvj5d7lO/jzsgrWVDXzxwvmcPQorPOLSOqgREyra+/h63/9iDvf2saXpufy9k0nSnAlhBBCiMOSaU/g71cfTYrVTKI5jheuP3ZUgqvhiDfF8YPTSnj22mOINykueugTfvfvrdS194z20mKeZLBEzDrQ1sPFD33CvpYe7rlkHmfPzhvtJQkhhBAiyuWlWXn7phMxxamoaJk+f2I6r3//BH716mb+umIHf12xg2njkjmxNJsTSrJYWJQRFX+PaCIBlohJ+1t9wdWBth4ev2oRiyZljPaShBBCCBEjom3Ptj0hnt+dP5srji1ixfY6Pqho4G8fVvHgyp1Y4uOYmZfCnII05kxIY05BGkWZtrA16/giiK5/O0TMqzjQzhMf7+ayYwopzU0+rNfY29LNxQ99QmOHkyeuWkRZkQRXQnzRKaXOBP4EmICHtda3D3g+AXgCWAA0AhdqrauUUkXAFmCbceonWutrI7VuIYQIJf+eretPKqbL6WbVriY+qmxg3Z4Wnl69h8c+rAIgOSEeq8WEx6txezUer0ZrzZkzx3PrWdPI+v/t3XuQXGWZx/Hv093Tc0kyM7mTO4kJARJIzI0AWQrEQECWgLAaV2VRrIgatywL8VouuIVK6W6tW0gpalYFVhQ0msUgl1KLS0jIlZAQ0CQkZiZCIJlkkpnMpaef/eOcgZNO92QCPTMnnd+nqmu6T7/v6eeZc06//fZ5z9tFmoK+VKmDJbFR19DMR36ymtcaW7l/9S4+NGcsn59/xgn9jkRdQzMf+tEqDjS18/Ob5jBj7MAejFhETgZmlgS+D8wH6oA1Zrbc3V+MFLsJaHD3iWa2CLgT+GD43HZ3n96rQYuI9LCqdIpLJg/jksnDgGBSjL/uPcymugNs2dNIe0eWZMJImpFMJDjc2s6yDfU8sfU1vrjgTBbNHqPf3SpAHSyJhf1Nbdyw9DmOtHXwwOK5/GHzq9y7ahfLN+5hyXsmcuOFp1Oeyj8++EhbB2t37efZ7fv4zfp6mtsy3PeJ85g2praXsxCRmJoDbHP3HQBm9gCwEIh2sBYCt4X3HwLuMo2PEZFTSCqZ4KwR1Zw1Iv+shACLL5rAV5dt5ivLXuDBdbu545pzCs5ieCpTB0v6XFNrho/9dA31DUe496bzmDN+EHMnDOYjc8fxzRVb+dYjL7H0mVeYMKQ/1ZUpqivKqK4sI5Uw1v+tgY27D9De4SQTxvQxtdx+9RRNZywiUaOA3ZHHdcB5hcq4e8bMDgKdU4ONN7MNQCPwNXd/qofjFRGJpYnDBvDA4rks21DPHb/fyj/e9TQ3nD+Oz733DGoq9TtbndTBkl7h7hxqzRzzI3dtmSyfun89L9Qd4IcfnXXUZBQTh/Vn6Y2zeeqvr3Pfql00NLWz841mGlvaaTzSTksmy9RRNdw0bwJzJwxi9umDTrqLTkUk9v4OjHX3fWY2E/itmU1x98bcgma2GFgMMHbs2F4OU0Skd5gZ758xmvecOYzvPPoyP125k+Ub93Drgsn800wNGwR1sKQXbH/9MLc+tIl1uxo4rbqCc0bXcO6oGs4ZXcOyDfU8+ZfXufO6c5h/9vC89f9h0lD+YdLQY5a7u2a4EZHuqAfGRB6PDpflK1NnZimgBtjn7g60Arj7OjPbDpwBrM19EXe/B7gHYNasWV7sJERE4qS2Ks0d157Dh+aM5fb/28IXf/0C96/+G7ddPeWUvwZeHSzpMR1Z5ydP7+A/HvsL5akESy6ZSF1DM5vqD/L4i6+9We4Ll0/mg7NP/Nteda5EpJvWAJPMbDxBR2oR8M85ZZYD/wI8C1wP/NHd3cyGAvvdvcPMJgCTgB29F7qISLxNHVXDrz55Psuf38M3V2zl/XevZOa4gUwdWc2UUTVMHVnDpOH9KUsmaMtk2d/Uxr6mVhqa2jl9SBWjB1b1dQpFpw6W9Ihtew9xy4Ob2Lj7APPPHs4d10xlWHXFm88famlnc30jmWyWeROH9GGkIlLqwmuqlgCPEkzTvtTdt5jZN4C17r4c+Alwr5ltA/YTdMIALgK+YWbtQBa42d33934WIiLxZWYsnD6K9541nB8/9QrPbHuDh9bV8bNndwGQTiUoTyY41Jo5ql55KsEXLp/Mxy8cX1JDCy0Y/VA6Zs2a5WvXHjNyQ3pAa6aD3fuPUNfQzKsHW3i1sYXXGlt49WALz2zfR790ktuunsLV00bqbJOIFJWZrXP3WX0dRyFqi0TkVJfNOjv3NbF5TyNb6g/S1pFlUFWaQf3TDO6XprqyjKVPv8ITW/cyZ/wgvnv9NMYOPrnOZhVqi3QGSwo63Jrh1YNBp+nv4d+6hiPs2tfErn3N7Dl4hNz++ZD+aYZXV3Dt9FHccvlkhg7QD9GJiIiInGoSCWPC0P5MGNqfq6eNzFvm/AmD+fX6em5fvoUF33uSr1x5Fh8+byxmRkt7B41H2jl4pJ3qyjKGR0ZCxZ06WKeQ5rYMf3xpL7v2NXPwSDATXzAjX4ZDrRmaWzM0t3XQ3Jahqa2Dtkz2mHUM6pdm3OAq5owfxLjBVZw+uB+jB1ZyWk0FwwZUkE4l+iAzERERETnZmBnXzxzNBe8azK0PbeJrv93Mdx97meacz6FmMG/iED4wawyXTRle8LdR4yL2HSwzWwB8j2Dc/I/d/dt9HNJJpb0jy1N/fZ3fbdzDY1te40h7BxCMea2uLKOmsowBFSlqKssYWVNBVTpFv/IkVekUtVVlnFZdwWk1FZxWXcHw6goq0/HeoUVERETk5DKytpJ7b5rDg2vrWP+3Bmoqg9887fysun3vYR5aV8dnf7GBgVVlXPPuUVx65nDMgs+6mQ4nk3Wq0knePbaWARV9+5tcse5gmVkS+D4wn+CHIdeY2XJ3f7Ev42rvyHKguZ2m1gxmkDAjkTCS4XVGbZksbR0dtLRnac1kaW3vePNMUedvOB1qzZDNOlkHJ/wbDrfrvFzJwvvtGaetIxvcMsGtNXP0+lszWcqSdlQHKZ1KsHbnfhqa26mtKuPaGaNYOG0k08bUUlGmjpKIiIiIxIOZ8YHZY/jA7DF5n//XSyfxzLY3+OWa3dy3ahf/88zOvOWSCePc0TWcP2EwF7xrCDPG1VKV7t0uT6w7WMAcYJu77wAwsweAhUCPdbC+tWIrD66royKVoLwsSXn4F+BAcxsNTW00tmSOs5aumUH/dIpk0jCCDpqZYUbkmibHHRwoSxrpVIJ0MkE6lQxmYkklGFCRYmgYYzqVoL3D3xzmd6C5jaa2Di6cOIRrpo/iojOGavieiIiIiJyUkgnjojOGctEZQ9nf1MZLrzaSSiRIJoyypJFMGA1N7azasY+V29/gh0/u4O4/bweCWQwHlKfoX5GiXzr4+71F0xlRU9kjsca9gzUK2B15XAecl1vIzBYDiwHGjj3x31OKOmd0DU1tGVrbs7SEZ4daMlncnXGDqhjUL83AqjQD+5XRvzyFO2TdybrTkQ3ORpWn3ur0lKcSlKeSVFemqK4oo6aqjP7pVElNRSkiIiIi0lsG9Utzwbvy/8zPvElDgMkcbs2wZud+XtzTyKGWDIdb2znckuFwa4ZDLRnKkj134iHuHaxucfd7gHsgmBr3nazrqnNHctW5+Wc6ERERERGR+OtfnuKSycO4ZPKwXn/tuI8ZqweiAzFHh8tERERERERiJ+4drDXAJDMbb2ZpYBGwvI9jEhERERERySvWQwTdPWNmS4BHCaZpX+ruW/o4LBERERERkbxi3cECcPcVwIq+jkNEREREROR44j5EUERERERE5KShDpaIiIiIiEiRqIMlIiIiIiJSJOpgiYiIiIiIFIm5v6Pf5Y0dM3sd2PUOVzMEeKMI4cRBqeRSKnmAcomjUskDTp1cxrn70N4M5kSoLTpGqeRSKnmAcomjUskDTp1c8rZFJdfBKgYzW+vus/o6jmIolVxKJQ9QLnFUKnmAciklpZR/qeRSKnmAcomjUskDlIuGCIqIiIiIiBSJOlgiIiIiIiJFog5Wfvf0dQBFVCq5lEoeoFziqFTyAOVSSkop/1LJpVTyAOUSR6WSB5ziuegaLBERERERkSLRGSwREREREZEiUQdLRERERESkSEqqg2VmFWb2nJk9b2ZbzOz2yHOLzOyrZnammT1rZq1mdkuedSTNbIOZPZyzvLP+h81sk5m9YGYrzWxapMwCM3vZzLaZ2Zd6OI+CccQljy7yOya2SFwLw7g2mtlaM5uXU/cRMxttZveHMW42s6VmVhY+b2b232Hsm8xsRi/Gnnff6mp75tTv1W1ynFzyxhLXXCLr3hm+5kYzWxtZPtfMfmRmc8LnNoY5XJtT/wdmdqGZfcfMXgpzWGZmtZEyXw5jf9nMLu/l+Aeb2Z/M7LCZ3ZVT9w+R7fIDM0vmqT/fzNaFr7HOzN4TKTMzXL4tPIasmLmdSro6To73fhEp1+fv4d3MQ22R2qKezEVtUS+3Rd2IXe1Qd7h7ydwAA/qH98uA1cDc8PHPgJnAMGA2cAdwS551fB74X+DhnOWd9S8ABobLrgBWh/eTwHZgApAGngfO7sE88sYRpzy6yO+Y2CJx9eetawPPBV6KlKkEngvvXxn+nwz4BfCpyPJHwuVzc/8vPRx73n2rq+3Zl9vkOLkUiiWWuURefycwJM/y24HrgCogFS4bAeztfBwu2xjGeFmk3J3AneH9s8OYy4HxYS7JXoy/HzAPuBm4K6dMdWQb/RpYlKf+u4GR4bKpQH2kzHPhMWPhMXRFMY+dU+nW1XGC2qJez6OL/NQWxeD9+zi5qC3q5baoG7GrHerGraTOYHngcPiwLLx52AOeDqx3973uvgZoz61vZqOB9wE/zlkerb/S3RvCp1YBo8P7c4Bt7r7D3duAB4CFPZhHoThik0c++WLLieuwh0cZwUEcnYXlYuDPAO6+Ivw/OcEB2Rn/QuDn4VOrgFozG9FLsefdtwptzzz1e22bdCOXvLHEMZduuhR4wt2b3T0TLqsgsn+Z2VnAX9y9w90fi5SLxr8QeMDdW939FWBbmFNvxd/k7k8DLbkF3L0xvJsi+MDgeepvcPc94bItQKWZlYfHSLW7rwqPqZ8D1/RUMqVObVG88shHbVE83r/VFgEnT1ukdugElFQHC9481byR4NuAx919NUFv+fnIm2Uh/wXcCmRzlheqfxNBDxtgFLA78lxduOxtOcE8onHEKo888sV2VFxmdq2ZvQT8Hvh4pNwVwB+iK7NgOMZHI8t7Mv7jxl5Ige3ZVf2e3iYnkstR+1cMc4ly4LFw2MHiMN4hQLu7Hwwfn2dmW4AXgJsjjdcx+1fo43GKvytm9ijBdjkEPHSc+tcRfABpDXOoizxX7LxOOWqL4pVHHmqL4vH+rbYofm2R2qEiKLkOVtjjn07Qy59jZlOBBRz9pn8MM7sK2Ovu6/I8fUx9M7uE4GD9YlECz9HdPHLjiFseOa9VKLaj4nL3Ze5+JsE3F/8eKXch8HRO3buBJ939qR4I+U3djb2QAtszb/2e3iYnkku+WOKUSx7z3H0GQQP1GTO7iGCIxWOdBdx9tbtPIRhC82UzqwifupxjPzR9FcgA9/dG8HQj/q64++UEw03Kgc5x7cfUN7MpBMNNPlmkuCWH2qJ45ZHzWmqLYvD+rbYotm2R2qEiSPV1AD3F3Q+Y2Z8IDrTLCHrJXbkQuNrMriQ4XVttZve5+0dy65vZuQSns69w933h4npgTGR9o8NlPZZHgThimUdXsYWvccz2cfcnzWxC+M1HNbA7PJXfGf+/AUM5+uDsqfhPKPZCcrbnZvpmm3QrlwKxxC2X3Jjqw797zWwZwZCJacB/5im71cwOA1PN7EWgNjJsATO7EbgKuDTyTWhs4u9iHS1m9juCISSPEzSSb9YPh+QsA25w9+3h4noiQ7socl6nMrVF8cqjq9hQW6S2qEhO5rZI7VCReAwuBCvWjeANrja8Xwk8RbBxn85T9jbyXFgcPncx4cWWQE20PjCWYKzrBTl1UsAOgosNOy+YnNJTeRSKI055HCfHi4GH88Q1kbcuLJ5BcHAZ8BmCU+id5T4BrAQqc9b7Po6+sPi53oq90L5VYHteFYdt0sV2KBRLnHPpBwyI3F9J8Kb+fGSfGs9bFwyPA/YAQ8L95tuRdS0AXgSG5rzGFI6+sHgHxbuw+LjxR8reSOTiYoIL8kdE/se/BJaEx0E0/9rw8fvzvH7uxcVXFvvYOVVuBY4TtUV9lMdxcrwYtUV9vk262A5qi3qxLepO7JGyN6J2qOCt1M5gjQB+ZsG0kAngVwQXPj7RWcDMTgPWEnwLlTWzzxHMHNOYZ30A86P1ga8Dg4G7LZg9MuPus9w9Y2ZLgEcJZn5Z6u5beiqPQnF0sc6+yKM7cuO6DrjBzNqBI8AH3d3NbAHw2Ui5HwC7gGfD+H/j7t8AVhDM3rQNaAY+1luxF9q3yLM93f1hM7ue+GyTbu0fMc9lOLAsfL0UwaxUrwMbPHznJpj56Evh/pUFPu3ub5jZFYRjxUN3ETRcj4frW+XuN7v7FjP7FUGDlwE+4+4dvRg/ZraTYB9Lm9k1BN/W7gOWm1k5wXb5E8ExMjOn/hKCD45fN7Ovh8suc/e9wKeBnxJ8WHmEbgw3koLUFhWmtqiHY1db1Oe5nMxtkdqhYunrHl5P3whOC8/tq/rK453HRfDmsravYy3lbVJKueTE9TUi08R2UW49UNbX8b7d+Huqvm5F3ZYlcYyVSh5vJy61RcrlHcR10rZFaofe3q3zdJ2IiIiIiIi8QyU3i6CIiIiIiEhfUQdLRERERESkSNTBEhERERERKRJ1sERERERERIpEHSwREREREZEiUQdLRERERESkSP4f4GT6QNkdfiAAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x576 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oy6WjHzJyA12",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qhVXDqci8MkU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}