Prevalence of undernourishment in the World

Malnutrition.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "XEu-V49QTMOs"
   },
   "source": [
    "# Analyzing of the Prevalence of Undernourishment in Africa and Asia using Python \n",
    "Follow us on [Pythonstatistics](http://www.pythonstatistics.net) where we make data come alive through insightful visualizations using Python.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "nW4-pGwAgqUj"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import Image, display\n",
    "pd.set_option(\"display.max_rows\", 999)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 550
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1186,
     "status": "ok",
     "timestamp": 1549852617976,
     "user": {
      "displayName": "OuagaNet NGO",
      "photoUrl": "https://lh4.googleusercontent.com/-WEGOWARVWAE/AAAAAAAAAAI/AAAAAAAAAYI/OIqT0j6_YCY/s64/photo.jpg",
      "userId": "04407885692128976561"
     },
     "user_tz": 300
    },
    "id": "kAwP7gkJagWm",
    "outputId": "65494cf3-f96b-40a0-fb8d-851050677d91"
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Image('hunger.jpg'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "pJhgpqXgV0M9"
   },
   "source": [
    "# Read in the datafile from Food and Agricultural Organization of the United Nations\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "DRVmXoI-ZUIw"
   },
   "outputs": [],
   "source": [
    "malnutritionAfricafile = 'Malnutrition.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "puMsuS1lmQTV"
   },
   "outputs": [],
   "source": [
    "malnutritionAsiafile   = 'ASIA.csv'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "DWkvFFqQW9XB"
   },
   "source": [
    "# Check the data by listing a few rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "qnvqcTZBaEkZ"
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(malnutritionAfricafile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 195
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 273,
     "status": "ok",
     "timestamp": 1549839757259,
     "user": {
      "displayName": "OuagaNet NGO",
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      "userId": "04407885692128976561"
     },
     "user_tz": 300
    },
    "id": "sagzXj9taKB_",
    "outputId": "ae477c70-aa16-4728-aeda-aec2525145ee"
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>2005</th>\n",
       "      <th>2010</th>\n",
       "      <th>2012</th>\n",
       "      <th>2014</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>World</td>\n",
       "      <td>14.5</td>\n",
       "      <td>11.8</td>\n",
       "      <td>11.3</td>\n",
       "      <td>10.7</td>\n",
       "      <td>10.8</td>\n",
       "      <td>10.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>6.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.3</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Eastern Africa</td>\n",
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       "      <td>31.4</td>\n",
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       "      <th>3</th>\n",
       "      <td>Middle Africa</td>\n",
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       "      <td>26.1</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Southern Africa</td>\n",
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       "      <td>7.4</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.4</td>\n",
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       "            Region  2005  2010  2012  2014  2016  2017\n",
       "0            World  14.5  11.8  11.3  10.7  10.8  10.9\n",
       "1  Northern Africa   6.2   5.0   8.3   8.1   8.5   8.5\n",
       "2   Eastern Africa  34.3  31.3  30.9  30.2  31.6  31.4\n",
       "3    Middle Africa  32.4  27.8  26.0  24.2  25.7  26.1\n",
       "4  Southern Africa   6.5   7.1   6.9   7.4   8.2   8.4"
      ]
     },
     "execution_count": 17,
     "metadata": {},
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   ],
   "source": [
    "df.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 195
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    "colab_type": "code",
    "executionInfo": {
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     "status": "ok",
     "timestamp": 1549839726201,
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      "displayName": "OuagaNet NGO",
      "photoUrl": "https://lh4.googleusercontent.com/-WEGOWARVWAE/AAAAAAAAAAI/AAAAAAAAAYI/OIqT0j6_YCY/s64/photo.jpg",
      "userId": "04407885692128976561"
     },
     "user_tz": 300
    },
    "id": "hDjLvKLjfHPO",
    "outputId": "0a7b2ea0-00fd-4804-ab7d-52566d645128"
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   "outputs": [
    {
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       "      <td>26.1</td>\n",
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       "      <th>4</th>\n",
       "      <td>Southern Africa</td>\n",
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       "      <td>6.9</td>\n",
       "      <td>7.4</td>\n",
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       "      <td>8.4</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Region  2005  2010  2012  2014  2016  2017\n",
       "0            World  14.5  11.8  11.3  10.7  10.8  10.9\n",
       "1  Northern Africa   6.2   5.0   8.3   8.1   8.5   8.5\n",
       "2   Eastern Africa  34.3  31.3  30.9  30.2  31.6  31.4\n",
       "3    Middle Africa  32.4  27.8  26.0  24.2  25.7  26.1\n",
       "4  Southern Africa   6.5   7.1   6.9   7.4   8.2   8.4"
      ]
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     "metadata": {},
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   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "C0VJ7hUYZ6xw"
   },
   "source": [
    "#Read in Africa Prevalence of Undernourishment datafile from FAO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "a70OB1zltyar"
   },
   "outputs": [],
   "source": [
    "melted_df = pd.melt(df, id_vars=[\"Region\"], \n",
    "                 var_name=\"Year\", value_name=\"MalnutritionIndex\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 195
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 510,
     "status": "ok",
     "timestamp": 1549839764646,
     "user": {
      "displayName": "OuagaNet NGO",
      "photoUrl": "https://lh4.googleusercontent.com/-WEGOWARVWAE/AAAAAAAAAAI/AAAAAAAAAYI/OIqT0j6_YCY/s64/photo.jpg",
      "userId": "04407885692128976561"
     },
     "user_tz": 300
    },
    "id": "1eI1I-rjuzm2",
    "outputId": "e1b9f035-0d6a-480d-9b2b-c4d21597fbf2"
   },
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Year</th>\n",
       "      <th>MalnutritionIndex</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>World</td>\n",
       "      <td>2005</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>2005</td>\n",
       "      <td>6.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Eastern Africa</td>\n",
       "      <td>2005</td>\n",
       "      <td>34.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Middle Africa</td>\n",
       "      <td>2005</td>\n",
       "      <td>32.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Southern Africa</td>\n",
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      ],
      "text/plain": [
       "            Region  Year  MalnutritionIndex\n",
       "0            World  2005               14.5\n",
       "1  Northern Africa  2005                6.2\n",
       "2   Eastern Africa  2005               34.3\n",
       "3    Middle Africa  2005               32.4\n",
       "4  Southern Africa  2005                6.5"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "melted_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "y8l3kCgew87S"
   },
   "outputs": [],
   "source": [
    "SummaryAfrica = pd.crosstab(melted_df['Year'], melted_df['Region'], values=melted_df['MalnutritionIndex'], aggfunc=np.sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 225
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 387,
     "status": "ok",
     "timestamp": 1549839769737,
     "user": {
      "displayName": "OuagaNet NGO",
      "photoUrl": "https://lh4.googleusercontent.com/-WEGOWARVWAE/AAAAAAAAAAI/AAAAAAAAAYI/OIqT0j6_YCY/s64/photo.jpg",
      "userId": "04407885692128976561"
     },
     "user_tz": 300
    },
    "id": "yTJWdhiFeZzV",
    "outputId": "12c859df-1e07-4617-f072-5d1dae5b97e6"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Region</th>\n",
       "      <th>Eastern Africa</th>\n",
       "      <th>Middle Africa</th>\n",
       "      <th>Northern Africa</th>\n",
       "      <th>Southern Africa</th>\n",
       "      <th>Western Africa</th>\n",
       "      <th>World</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>34.3</td>\n",
       "      <td>32.4</td>\n",
       "      <td>6.2</td>\n",
       "      <td>6.5</td>\n",
       "      <td>12.3</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>31.3</td>\n",
       "      <td>27.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>10.4</td>\n",
       "      <td>11.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>30.9</td>\n",
       "      <td>26.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>6.9</td>\n",
       "      <td>10.4</td>\n",
       "      <td>11.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>30.2</td>\n",
       "      <td>24.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.4</td>\n",
       "      <td>10.7</td>\n",
       "      <td>10.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>31.6</td>\n",
       "      <td>25.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.2</td>\n",
       "      <td>12.8</td>\n",
       "      <td>10.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Region  Eastern Africa  Middle Africa  Northern Africa  Southern Africa  \\\n",
       "Year                                                                      \n",
       "2005              34.3           32.4              6.2              6.5   \n",
       "2010              31.3           27.8              5.0              7.1   \n",
       "2012              30.9           26.0              8.3              6.9   \n",
       "2014              30.2           24.2              8.1              7.4   \n",
       "2016              31.6           25.7              8.5              8.2   \n",
       "\n",
       "Region  Western Africa  World  \n",
       "Year                           \n",
       "2005              12.3   14.5  \n",
       "2010              10.4   11.8  \n",
       "2012              10.4   11.3  \n",
       "2014              10.7   10.7  \n",
       "2016              12.8   10.8  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SummaryAfrica.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "6QGulPx-roJV"
   },
   "source": [
    "# Construct a stacked map chart of the malnutrition data in Africa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 507
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1211,
     "status": "ok",
     "timestamp": 1549839773679,
     "user": {
      "displayName": "OuagaNet NGO",
      "photoUrl": "https://lh4.googleusercontent.com/-WEGOWARVWAE/AAAAAAAAAAI/AAAAAAAAAYI/OIqT0j6_YCY/s64/photo.jpg",
      "userId": "04407885692128976561"
     },
     "user_tz": 300
    },
    "id": "MSPbRgOwrDQW",
    "outputId": "a264542c-9ad8-40c3-f651-377327cfcd71",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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gPPQNB7Bb164qQxrkOlE991UhHQ2zbXU9gGcB+AkhNlYjPzNsBvAgEd0uhNiqC38YUtk+qI7T1N9oqP3alEnlbagBBUh93FpHRM0gP7gF4uptqaDNbLcQQiyuoTQLIdfe1gVjIJ/XOCvnngXwABH5VLFNlEMIkUdEv0J+ZJpj4+ONl/qr/zDqiiv9PMMwNzGs4DHVZT8R/QxpCpQCueaiP6R3r+W6dTEH1N+nieh7AKVCiD8gB11TAcQT0aeQa+9mouKszFuQg6MfiehlyPUZQZAzYE8YX6pCiIPKPfbPkEpePxXnC8iB+EYimgdp9ukG+TV0EKSzjTyV3yQAG5Tr6kJID2X2TOGMnDZc/yyk84eXlIwXiOg3VSaZkLMx42F+ptIqQogkIloKIE6tedkGuR5mJoClBjMts9h6fmZlOkZErwF4n4iiIAfABZDrde4C8Il+PZAN7JZnDee/BPIr/WxIpw4phiTXAxhLRPsgzT6HQA7KHWG2/plCCPEzyW0d3iSiJpAfNVwh1zd9q9aAvQWpkG0horcgZ+y8IT/C9BRC3G8ni7cgB7T/I6JZkOaYkyDb6QCzchpYBmCRkmUdgBhU76OGqbYqhNik2sVKInoT0rLAAun0oz+kl8nD1ZBDTzzkjOlqInoe0tRuJGRdm6gzIf4e0hHJQlW+7pAOomyZkTqEiOZAzl7+DPmBojGkF809Qu6Zd1UQQlwkon8A+ICIgnHlXsMg1wFvEkL8t5LJHgAwiYiGQ1onXFLr4GoVtZSgPaS1xSYr5z0g13j+FdLsviZ4BrKf2q76ihMAmkE6aJkM+ZEgDcC/iKgUUtH7vxrKm2GY6xxW8Jjq8izk4EgbVJRCugefDummW2MdgA8hB2IvQq7fISHED0Q0BcA0yJmN/ZBfSss5aBFCnCei2yEXkE+H/BJ9GnJAqzdt0l+TTES9IQc6G4joHjXouEel8TiASMh1b8cgZ4KK1LVZRPQXyK/eiyHNjRZAtpkXTZbNZkivaXMhB1kHIF3L6weRIwDMhzQJzIdc3/F3VHQSUlnGQrq2Hw9ZlhmQZlqzq5ie1edXmQSEEM8R0UEAT6mfgPQStxHSuYMjzJRnTeX/P8jZ5zDIum1kMuT9azOk30E+S3vmyBBCFJupf5XkIch2OBbyY8kFSEcbn6g8L5DcnPlFFS8M0vw5GdIc1Z68GST3InsNsp66Q64VHSCEWF8FWQHZnppArrmdCOmc5gHYXh9pl0q21VGQz2485DqlQkiz2B9QufW1jmS6rPqe1yG35/CBLO9y5nSqX7sPUkldDjmI17Zf6FPF7HdAKnRvQa71OwM50zuziulVGSHER0SUDqlwPwz58eEkpBWBGYdRRl6DNH39BNJL52ZUvZwqw1jI/iLexvkNkH3JWNSQgieE2KneeXMgZ+fdIRW6T9X5IpL7970P+UEqG3I7ij9h3+kSwzA3AZqrbYZhmGsWkps+/yqEGOUoLsMwDMMwzM0Mb5PAMAzDMAzDMAxzg8AKHsMwDMMwDMMwzA0Cm2gyDMMwDMMwDMPcIPAMHsMwDMMwDMMwzA0CK3gMwzAMwzAMwzA3CKzgXScQUR8iErpfPhGdIKLviGgCEblVMd0IIopTG+HWpLzeRPQZEZ1R8r7t+KqrDxHVV/ffycq5TWqz2drMf5zhuep/d9Zm3lZkEWofsTpHPRPT9uNE5ElEF9Q9xNSiXKlEFF9LaWt1IUIXFkdEd9RGfmZR7WCTybihRPQBEaUQUaFq/6uJqEsti1kjVLbeVTLtqUQ05GrmWRMQUWsi+omILqr6OdhGvD7qXpwM4RHqugm1LKdQe6RaOxdPRCeqkW6c7ngwEU2ropj28olX3oIdxUtVMlXYvoWIXq5KXTLxHtxU2TQZhqlbWMG7/pgCuWn13QCehtzf7AMAv6vNZCtLBIBZkBuo1iRPQe4L9gykvG/VcPo1RX3I+6/wYrvKPAhZTvqf3T3VmHIMAeCr/h9Ti/k8ABMbq9cgswDUqYJnFqVY7wFwL+R+ZXdD7jlXH8A2Ihpdh+KZ5RPItlcbTIWsp1czz5rgTcj3wzBIOTfbiNcHsr7eaOOK7lB7SioGQ+7bWtf8XxXf+daw9x6cpH4Mw1xH8Ebn1x8HhRC/6Y6/JKL/QG7mvQjAwLoRqwJtAGQIIZbYi0RE7kKIwqsk07XMHiFElTZ6ZgDIDYazITcsH0lE/xRClNZU4lo9FULsrqk064raaHNE5ApgJeQm692EEOd051YAWAFgIRH9LoRIvpqyVQYhxAnIzcZv6DwrSRsAv1RjY/vrGsP79lphM4BuAKZDfuitNYQQB2ozfYZhaocb7UvbTYkQYjuA+QDuI6LmWjgR/Y2IthNRNhGdJ6LfiGiA7nwfSMUQAP6nMw3so84/pExzzhJRLhHtJqKxjuRRJiLjADTRp6kzMx1CRAuJ6CyA07rr+il585W53ddEFGVIexMR/ari7lFxdxNRVyJyIaK5RJSp7jmeiLztyBkBIEUdLtTJOs4Q704iSiCiPCLab81EiYhiiGgtEeUombYSUU9HZWUWIooioq/Uc8xXz7KflXhmytBZmfJkqnvaRETtTMoRTEQfEdFhdW06Ef2XiMIM8eJUWbYkom9V/UkjohepoglXRyLaQkQFRHSSiGYCoEqUTRiAvwBYBvmlPQTAPVbieRHRfCI6R0SXVHneZnzmqt6cIKLuRLSNiPIBvK7OVTDRJKJIkubIp0iaJR4nond0562aOFlLy3BeM7V6Xlc34yqTJl0x++xFRCuI6DyAHercrUS0Ut1rPhElq/bjaUsmOwwB0ALAc3rlDgCEEBbImTxnyFksTTZ75Wz2WZm6B7rSb9hty2Qwl1TX2TKhjjArA0nTu6aQHx+06+Ot5anCfInofSLKUHUqmYj+j4hIF0frTwepuFkk++rPiai+owdGRK4k+4FUIipSf18mqayXpQ9p5TFak9tGWnGQM0AAUGwjrjMRzSHZ75wnom+IqLGVtB4jokSS/UEWEf2HiAIc3U9lqEzZGdpdPOTHpDDdc0zVxQ1S9fakem6HiOhxK/n/RdXDAiI6RkQTK3kLJyDf+ZPI0Pdaycvue5wcvAfJSl9DJt5HZPIdQET1iOg9IvpTldlpIvqRiFpXskwYhtHBM3g3Dt9BDp5uB3BMhUVADnhTIZ/1QADriKi/EOJ7AAmQppQfQJp+7lTXaV/smkF+lX8VgAVALwCfEJGnEGKBHVm6A4gDEANp0qalqZl/vAfgewCjAXgAUjEB8C2AnwAMB1APwBwAvxJRrBDipC79FgD+DeBfAHIhB4Vr1c8FUrlso+KcAfBPG3JmQg5MVwN4RV0PXCk/AGgO4B11Pgvya+lKImqtzbiRXLewBcBuAI8ByAPwBIAfieg2IcQuO2Wl4UxE+vYotBkoIgoF8CuASwD+BjlL8hSAb4noPvUsK1OGcQCegzS92gDgFt29OyIAQAGAGQDOAghVZbJVlUmBIf5XAD6FNNEdCGA2gHQVBiIKUvKeghw4FQL4B4Bwk/IAsh45AVgC4CBk/RoL2Sb0fAxpChsH4A9IpfALG2n6QSqMb0CWVb61SEQUCWlKmwc5wD0CoAmkeWJ16Q5gO4B4AB+psKrO9HwBYCmAv+JKvx8OaVIZD1m32gF4EbLdP1TJ9P8CoBSy/lVACJFBRLtQ0dzUVjmbfVaVuQeHbdkKk3DF9BeQSuoiJXd2JWR4ALI+Jqp7AmT7qYAa/H4L2V++CGAfgAGQ7TUYspz0vANgHYCHAURB9oelkG3AHoshzS7nQvYv3QG8oOR+GPL90B2yb9gJ+6bJnwBoDOBRAD1U/kZmANgGYDyABgDmQT7T3rp7fxXyubwL2Q+EAXgZQLTqS2tsVl5R2bJ7CfIZ3ApgkAorVLL7AtgKwBPyGadAfmiaT3Jm+j0Vrw1kXfgDsn64q/j1YL3cbDEXwAQAMyHfN7Zw9B438x4sw+z7SIfdd4AKHwRZr48ACIQcxzj8SMEwjB2EEPy7Dn6Q6xsEgDttnI9S55+1cd4JcmC3AcAas+lauX4hgEQT8n4OINXGPXxlJf4fkJ27iy4sEkAxgDd1YZtUWDNd2CCV7o+GNFcDSHEgZ4S6doKVc1peLXVhDSBfws/pwjZCKhZuujBnFfa1g/zHqfyNv191cd4AUAKghSH9ZAAJlSlDAP6QSvECgxzPqnzjKlkvnSEVGgHgAV14nAp7xBB/H4ANuuN/ASgCEK4L84YcgAuTMhwAcEh3vBRSCa1vaB8WAP80XPuuknOcLixehd1vJa9UAPG64yWqPEPtyLcJwCYTaWl1IUIXJgC8XANpvuWgDAmyfY9S5RToKC/D9d8DyHQQZxmAPEflXJlnVcl7MNOW4+zVOwDvQyqhXasgQyqAz61cUy5PAPdZu09IJaoQQJA67qPiLbYiYwHUPrc25IyGlfYOqeAJAB10YSf0dcpOmnHqWhdDeIQK32wIf0aFh+rilQJ40RDvdhVvsIP8rbYVXV07oTs2XXbGcjKmpQufqa5taQhfCNmfuajjL9Sxty5OE8h+MNVEOZfVI0iFswhAc3X8soP6a/U9DsfvwU26Y7PvI60+OHoH7IfuHc8//vGvZn5sonnjoJnuiLIAos5EtI6ITkN2yMUA7oIcQDlOUJpWLCWik+raYsgvhqaut8NXhny8Ib9WfymEKNHChRApkF9EexuuPyyEOK47PqT+/mCIdwhAY71ZUxU4IoQ4opPpDOSsYLiS3VPJtwKAhaSZqAvk8/gR8mupGR6A/Cqs/R7VnesF4Dehm2UQ8kv2UgCxJM25zJZhe0gFarkh/2Um5QQRPalMqHIh69Wf6pS1emGc0dmP8rNz3dW9aWlACHEZwDcmZekCOVv7mS54MeRX8WG6sK6Qz2SFIYmVNpIugfyy74i7AawTQmSYkbcO+coYoOrNa0R0DFJxKIYsRwLQspLpm2lj1uJYK2fTz6qS92C3LTsUnugpyBm9MUKIHVWUwQy9IJXDpYbwzwG4oaJDFmMb2wdZ/0Mc5KGlacwDqNjn1gTW5ASulP9dkArIF1o/qvrSHQAuwnxfWl2ZHJWdLfpByppikP8HyFmptipedwDfqX4OACCESIfspyvLG5AzabNtRaiF97jD95EhvqN3wE4A44joOSK6hYicqygXwzA6WMG7cWii/mYCABE1gZxZCoBc/3IbpOKwHsos0h5EVA/A/yDNLKcD6KmuXwT5AqwOmYZjf8jBkDEckKZ7xvUXOYbjIjvhLpBfF6tKtpWwQlwpwwCV/kxceXlqv78B8CfDmjMb7BdC/KH76R1RBMB22RBk+Zktw0bq72lDHOOxVYhoMoAPIZXXIQC6QC72B6zXK2P5FRriNbKRtyl5cMWU6huSrr7rQw4YzqK8mZV232dM5nNGmDMHC8S17SBDw1q9+BTStOtdyMH1rZCmVoCJPsJAOoBgIvKyE6epiqfHWjlX5llV5h4ctWWbENHdkOZ8LwghjIpnTZYjINtqtqjobOaU7rwea23MUd5aGsZ6YSuPmsCRnA3U36Oo2Jf6QrY1e5TCdl/vDPkxobIyVYYGkMqPUXatvmjyV7fPK0MIcQHSrHQEWVlHXUvvcTPvIz2O3gGTIU3Qx0P23WeI6C0HfQnDMA7gNXg3DprzFO0rYD/IdSLDhPTSBkA6LzCZXnfIAVlPIUTZXnCGdWJVRRiOc1RYQytxGwI4ZyX8WuE85Nf2DyDN9SogpJOJ6pAN22Uj1HkLzJWh9mIOAZCki2P2i/VDADYKIco8t6l1aFUl00beDuUhufejtsYp0UqUYCJqob40a/fdAFccCtjLx1hHbZEFuU7IHgUov45LozqD6MqmWe5+iMgDwP2Qpmd6hzDtqyjPRshZgQGoOPOmrdvpjPLu5ivIpTD1rGrhHqyi1kwthzSLm3sVZMgGEEBEbkKIIl241rZroj/UBt0NUX6tVU3mUVm0PO9GxY91+vO2OAO5JtgaoaiCAlVJzikZ/m7jvPbRrsp9ng3eg1x//zLK9+lA7bzHzbyPTCOEyIVcnzmDiJpCrhN+FfID7bPVkJNhbmp4Bu8GgIi6A5gIud5LM13UFLliXbxWkOsZ9GhfLI2e86xd7w85mKlRlKnKLgBKE1A9AAAgAElEQVQP6s0zVGd/G2zvu1QT2Lp/UyjZt0B+IU0wzML9IYT4owZk3AygG5XfANsZ0pHKbiHEpUqU4V4Al1HefBEw71TDC7o6oXjE5LXW2A55b9oMtGaya2a7j4GQCs1sAH0NP+1+tD3xdkAOPh40pGE8riwbIL3XNrITJw1AK6WQAgCIqBcAHxPpF8F63axOmoD8eu+Mis9ynMnrjayGVBTmksHjoZrBfhfyI8Q7Vq41YvZZ1fQ9VICIAiFNSBMBVPCGWEkZCmGun9kM+W423u9IyPpQE277tf7A2O5Hqr+/VCHNavWlkDNNFsj1uBX6UWVubo+fAdxDBs/JRNQQsg/8uYpyGbH1HNcDaA3gTxvyX1LxtgPor5dT9X/Gd7MphBB5kMrdYMjZOT1m3+OVeXYO30dmZTcihEgTQsyDNJWNrmo6DMPwDN71SBu19skF0tTjbkgvggcgPThq/AhpkrKEiOapuLMh10vpFfvDKt54IsqG7OiTIb2dXQTwARHNgly39QLkjIVfLdzXTEhb/XVE9CGkR7HZkB665tVCfhqnIb+8PkREmvKTIgyu3h0wDXJA9APJPQkzAQRBrolzFkJMr6aMb0EOGP+nnsVFyLVArXBl5hYwUYZCiPNE9Bak6/1LkAqKcc2fPdYDeJaInoP0HnkH5BfX6tzbJAAbSLoi17xoWvVaaWAspIOTN9RX4HIQ0f8BGENEs4QQyUT0XwAvKYVD8+ioKZJVnWWdBfkMthHRXEjzsjAA/YQQo1ScZZDKwSKSbtYjIevMBRPpHwAwgIjWQ85qZKj1ftVJE0KIC0T0G4CniSgTsl2Ph+PZSFvpFRHRg5CD9J1E9G8lewiAJyFN1yYIIQ7ZSUZLy9Szqul7sMEXkG15MoBOhuW8uyspwwEAPYnoPkhztiwhRKqVeN9DeilcQHIj6yQA/SFnSF8RQmRV96aEEElEtBRAnJrN2QY52zMTwFIhxN4qJKt5X36aiL4HUFqZD1xCiGNE9BqA90lu7bIZcqa6CaTp6ydCCHtK2kuQDre2qXdeOqTn1OcgLS3eruwN2eAA5Azrk5COrQqEEPsg+7LhALaoPjYZ8r3ZGnIGTVOqXoZU3jeoduIG2U9XZ4ZxIaTTGqP3XrPv8cq8B82+j0xBRNshPXfug+zPe0N+MF1c2bQYhtFR115e+Gfuhytev7RfAYCTkO6WH4XOg6PummGQjkYKIAcJD0F6AEs1xJsI4DikoicA9FHhd0C6/s+H/Do/BQ68zOnStOdF05Yn0H6QXzfzIQeqawBEGeJsgs7DpAqLgBUPYLDh1c1KvoMhX9rF0Hmvs5aXCk+FwascpKOPZZAmOoWQ67LWAujvIO9xKs8WDuJFAfhalUsB5Ff8flUsQ2fIQcYpFW8TpAOACl71rKTvCbn/0lnIxf3rIJULo6c5q2Vvo/5p20xodXom5IDHZj2DdFVeDOA/duI8ZqjPXkr2bMiBxFrIAYmAzpMjbHjJs/Psm0M6GMhSz/44DF4rIdvYEVXe2yDNFculBeteNG+HVHAKrJRxZdKsUL8g28336jmegfQgqJVHH0Ob2+Sozau4jSHXaKZCzjadhay33a3EtVfOZp9VZe7BYVtGRY+WqbDu5bbsOVVChtaQ9TxPnYu3lqcK81XpZKpyPAzg/1Deu2MfWOlPrdUjG2XsCtkPpEG2pTR17GqIZ9aLpjOkqfoZKJNxXflY6581+fsYwkdD9m+X1bM/qMqisQkZ2kE64zmr7ikTUlFoaiNvh2WHiu3OG7K9a0sLUnXn/CEVoBT13M6oZz7VkM+dkO9Wrb+YCCt9o50+yJo31rFa3TSEm3qPw/57cJMhrsP3EUy+AwC8puS7oJ75PgBTzPQ3/OMf/2z/SAgBhmGYmxEi+gfkACNC6Dx5Mtce/KwYhmEYxhxsoskwzE2BMo2LhtyU2gLpUe4ZAMtZYbi24GfFMAzDMFWHFTyGYW4WLkGaIU2HNLM6Cen8Y1ZdCsVYhZ8VwzAMw1QRNtFkGIZhGIZhGIa5QeAZPABE5A7pSTATcrNUhmEYhmEYhnGG9ES+UwhR6Cgyw1wLsIInuRXS0xXDMAzDMAzDGOkJuYUJw1zzsIInyQSALVu2oHHjxnUtC8MwDMMwDHMNcOLECfTs2RNQY0WGuR5gBU9SCgCNGzdGREREHYvCMAzDMAzDXGPwEh7musGprgVgGIZhGIZhGIZhagZW8BiGYRiGYRiGYW4QWMFjGIZhGIZhGIa5QWAFj2EYhmEYhmEY5gaBnawwDMMwDMMwTBXYtWuXm4uLy0IAPSD3zGOY2sRCRKdKSkpmd+rU6QdbkVjBYxiGYRiGYZgq4OTk9KSvr+/tTZs2Pe/k5CTqWh7mxsZisVB+fr5famrq+wkJCX+zpeSxiSbDMAzDMAzDVAFnZ+dHQkNDL7Nyx1wNnJychLe3d35ERESRi4vLLJvxrqZQDMMwDMMwDHOjIITwc3NzK65rOZibC09PzwIhRENb51nBYxiGYRiGYZiqQURU1zIwNxlqxtimHscKHsMwDMMwDMMwzA0CK3gMwzAMwzAMw9yU7N692yM2Nra1u7t7p7CwsPa24q1bt86HiDpnZmZe804qr3kBGYZhGIZhGOZ6IWL6t52vZn6prw7YVZn4Q4cOjVi9enWgMbxDhw6XExMTD9WETETUedGiRccfeeSRnJpIrzps3brVs1evXm1jYmIuJyQkVLi/GTNmhHp6elr27t2738fHx2IrnTvvvDM3LS0tMSQkpKR2Ja4+rOAxDMMwDMMwzE1E9+7dLy5btixFH+bu7n7NeQItKCggDw+Pask1f/784FGjRp1ZvXp1YEJCgkenTp0K9OdTU1M97r333vNRUVFFttIoLCwkDw8PER4efs0rdwCbaDIMwzAMwzDMTYW7u7sIDw8v0f9CQkJKtfNxcXEhrVq1auvp6dmxQYMGHYYPH940KyurbCP3c+fOOQ8ePDgyICAgxt3dvVPjxo3bz5kzpwEAaGaO48ePb0ZEnfVmj//973/92rVr10Yzh5w8eXJYQUFBmZeasLCw9tOmTQt98MEHI3x8fGIfeOCByOTkZDci6hwfH1//tttua+np6dmxefPm7b766itfR/eZm5tLa9asCZg0aVLWvffem7NgwYIg/Xki6pycnOz59ttvNyKiztOmTQvV8vvoo48CunXr1srDw6PTvHnzgqyZaG7cuNG7W7durTw9PTv6+PjEdu/evVVqaqorAKxcudK3c+fOUb6+vrF+fn6xPXr0aJmQkOBRtSdWOVjBYxiGYRiGYRimDCcnJ/HGG2+k79mzJ+nTTz89vnv3bu8JEyaEa+enTZsWeujQIc9Vq1Yd2bt37/4FCxakNm7cuBgAdu7ceRAA5s2bl5aWlpaoHa9atcr38ccfb/b444+fSUhISFqwYEHqN9984z9lypQwfd4ff/xxSFRUVP727dsPvv766ye18NmzZ4f97W9/O/P7778fiImJufzII480u3Dhgl1dZvHixf6hoaFFXbt2zR8zZkz2ypUrAwsLC8sUyrS0tMSIiIiCxx577HRaWlrirFmzTmnn5syZEzZx4sSze/bs2T98+PDzxrS3b9/uOWDAgKjIyMjCjRs3Htq8efOhIUOGZBcXFxMA5ObmOk2ePPn01q1bD27YsCHZ19e3dPDgwS30Cm1twSaaDMMwDMMwDHMTsWXLFj8vL6+O+rCxY8eemT9//kkAePHFF89o4VFRUUX5+fknHn744RalpaUpzs7OSE9Pd4+Ojs7r27dvnhZHix8aGloCAP7+/qV6k8ZXXnml0ZNPPnnq73//+zkAaNeuXeH58+dPTJw4MXLBggUnnJykrtalS5dLL7/88mntuuTkZDcAmDRp0umHH374AgDMmzfvZLNmzQJ/++03r3vuuSfX1n3Gx8cHDx8+/BwA9O/f/5Knp6dl6dKlfuPGjTsPAOHh4SUuLi6oV6+eRZP11Cmp402YMOGMfg3hwYMHy82+vfLKKw2joqLyli5dmqaF6c0/tTw0li1blurv799x8+bN3vZkrglYwasD5g2/r65FqDOe/nJdXYvAMAzDMAxzU3PLLbdc+uSTT9L0YYGBgWUmmmvXrvV59dVXGx47dswzNzfX2WKxoLi4mNLT010jIiKKn3jiiTNjx45tHhUV5dW7d++L999///kBAwbYVVqSkpK89u3b5/3BBx+UbdAthEBBQYFTenq6a9OmTYsBoGPHjpetXd+xY8d87X8t7qlTp2zqMvv373ffvXt3vRUrVhwHACcnJwwZMiR70aJFwUblyxpdunSxKof+fvr3728znaSkJPfp06eH7tmzxzsnJ8fVYrHAYrEgJSXFzVHe1YUVPIZhGIZhGIa5ifD09LRER0cXWjt3+PBht2HDhrV86KGHzs6ZMyejQYMGJb/99pvXxIkTm2nmjcOGDbvYs2fPfatXr/b96aeffB988MGW/fv3z1m5cmWqrTyFEDRt2rSMkSNHVvCsGRoaWqz97+3tbdWTpZubW5mzFW22z2Kx2DR3/PDDD4NKS0vRokWLDjoZAABHjx51bdGiRbGtawHAnkdNfVq2GDRoUIuQkJCi9957Ly08PLzY1dVVdOzYsV1RURGbaDIMwzAMwzAMc3XYtm2bV3FxMX3yySfpLi5SVVi9enV9Y7xGjRqVPPXUU9lPPfVU9sKFCy9MnDixWX5+fpqnp6dwcXERJSXlHU62bds2Lzk52cOWYlmTFBcXY8WKFYEzZsw4+cADD5SbZRszZkyzBQsWBL3xxhuZ1ckjOjo6b8uWLT7Wzp06dcr5+PHjHm+//fafAwcOvAQAv/76q1dpaWmtK3cAK3gMwzAMwzAMc1NRWFhIf/75Zzk9wMXFBaGhoSVt2rQptFgseOmll0JGjBiRs3nz5nofffRRA33cqVOnhnbu3DkvNjY2v7i4mL7++mv/xo0bF3p6egoACAsLK/rpp59877nnnkuenp4iODi49Pnnn88YPnx4i6lTpxaNHDky28XFBXv27PHcsWOH94IFC07U5P19+eWX9XNyclymTJlytmHDhqX6c0OGDMmOj48Pfu211zKdnZ1tJeGQ6dOnn+rbt2+bESNGNJ0yZcoZLy8vy8aNG30GDhx4sVmzZkX169cv+fjjj4MiIyOL0tLSXKdPn97E2dn5qmxFwV40GYZhGIZhGOYmYvv27b5NmzaN0f86duzYFgC6du2a/9JLL6XPnz8/JDY2Njo+Pj7opZdeKqeAubu7W2bPnh3WpUuXtn379m2dm5vr9PXXXx/Vzs+dOzd927ZtPs2aNesQGxvbFgCGDh16cfny5Ue3bNni06tXrzY9e/ZsM2/evIbh4eE1PqO3aNGioK5du14yKncAMHLkyOyMjAy3NWvWONxmwR633XZb/tq1aw8fOXLEo2/fvm169OjRZuXKlQFubm7C2dkZixcvPn7o0CGvzp07t5s6dWrTuLi4k3oz09qEHNmP3gwQUQSAlJSUFERERNR6fuxkhWEYhmEY5tonNTUVkZGRABAphEg1nk9MTEyNiYnJuuqCMTc9iYmJQTExMRHWzvEMHsMwDMMwDMMwzA0CK3gMwzAMwzAMwzA3CKzgMQzDMAzDMAzD3CCwgscwDMMwDMMwDHODwAoewzAMwzAMwzDMDQIreAzDMAzDMAzDMDcIrOAxDMMwDMMwDMPcILCCxzAMwzAMwzAMc4PACh7DMAzDMAzDMMwNAit4DMMwDMMwDMNYZdq0aaEtW7ZsZy/OmDFjwrt06RJlL07fvn1bDB06NEI77tKlS9SYMWPCa0hMu+zevdsjNja2tbu7e6ewsLD2tuKtW7fOh4g6Z2ZmulwNuWqLqyo8ETUG8A8AnQHEAvAG0FcIsclK3IcBPAsgCkAWgM8BxAkhCgzxQgC8DmAAAE8ACQCeFUJsq707YRiGYRiGYRgrxPl1vrr5XdhVmehDhw6NWL16deCwYcOyvvzyyzT9uSeeeKLxRx99FNKnT58LP//881EAmDVr1ql//vOfp2tS5Jpm69atnr169WobExNzOSEh4ZDx/IwZM0I9PT0te/fu3e/j42Oxlc6dd96Zm5aWlhgSElJSuxLXLld7Bq8FgBEAcgFstBWJiEYB+ALAVgD3ApgL4CkA8YZ4Hiqd3gAmA3gAwCUAG4moY82LzzAMwzAMwzDXNw0bNixat25dwMWLF8t0geLiYqxatSqgUaNGRfq4fn5+loYNG5ZefSnNM3/+/OBRo0adOXLkiEdCQoKH8XxqaqpHt27dcqOioopCQ0OtKm+FhYXk4eEhwsPDS5ycrm8jx6st/S9CiAZCiH4APrUWgYicAfwbwFohxCQhxM9CiA8BTAMwnIi66qKPB9AOwBAhxFIhxAZIJS8TUilkGIZhGIZhGEZH69at85s2bVrw6aef+mthX375ZX03NzfRrVu3S/q4RhPNkpISPP744419fX1jfX19Y8ePH9+ktLS8/nfp0iWnoUOHRnh5eXUMDAyMmT59ekNHMhUUFNCTTz4ZFhIS0sHT07NjdHR0m1WrVvk6ui43N5fWrFkTMGnSpKx77703Z8GCBUH680TUOTk52fPtt99uRESdp02bFpqcnOxGRJ0/+uijgG7durXy8PDoNG/evCBrJpobN2707tatWytPT8+OPj4+sd27d2+VmprqCgArV6707dy5c5Svr2+sn59fbI8ePVpaUzCvNldVwRNC2JwS1dENQEMAiw3hXwAoBjBUF/YAgH1CiARdHoUAlgK4i4h8qifx1eF8Xj6+StiP9zZuxYxV3+OZ5d8i+3Kew+s2HjyKZ5Z/i/d/MmeN+uHP2/HM8m8r/H45nOLw2sOns/Dv9Zvxwlc/YPHWXcgrLPdxBwXFxZi99kckpmeakoVhGIZhGIapO0aPHp21ZMmSMmXo008/DRwxYkQWEdm9Li4uLmTp0qVBb775ZtrmzZsPlZaWYs2aNYH6OE8++WTjLVu2+H722WfH1q9fn5yYmOi1c+dOu+PyYcOGRWzbts0nPj7++K5du5IefvjhrIceeqjF9u3bPe1dt3jxYv/Q0NCirl275o8ZMyZ75cqVgYWFhWU3kZaWlhgREVHw2GOPnU5LS0ucNWvWKe3cnDlzwiZOnHh2z549+4cPH37emPb27ds9BwwYEBUZGVm4cePGQ5s3bz40ZMiQ7OLiYgKA3Nxcp8mTJ5/eunXrwQ0bNiT7+vqWDh48uEVBQYH9QqxlrsUFhNHq7359oBAij4iO6c5rcX+2ksZeAM4A2gD4vTaErEmycvOQmJ6Jxv5+iAwKwOHTWQ6vOZebh40Hj6Keu1ul8mrk54O/3lJ+bam/l912g7yiYizZtgu3RDRG64bBWLf3ENYmHsRDXWLK4qzffxiN/HwQ06RRpeRhGIZhGKbyzBt+X12LUKc8/eW6uhbhumfChAnZs2fPbrJv3z53Pz+/0i1btvgtWLAgffr06aH2rvv4449DJk2adGrChAk5ALBo0aL0zZs3+2nnL1y44LR8+fKgd955J3Xo0KEXAWDZsmWpjRs37mArzaSkJPd169YFJCcn72vZsmURALRt2/bsTz/95PvBBx8Ed+/e/U9b18bHxwcPHz78HAD079//kqenp2Xp0qV+48aNOw8A4eHhJS4uLqhXr54lPDy8BABOnTqllcGZRx55JEdL6+DBg+Vm31555ZWGUVFReUuXLi1bq9ipU6cyfyBaHhrLli1L9ff377h582bve+65J9dOMdYq16KCp30ByLZyLlt3XotrKx4McQEARFQfQH1DcONKylijNAsOQNz9dwEAdhz/05SCt2rXPnQKD8OZS7mwCGE6L3dXFzQN9HccUUdqVjaEAAbFtIWTEyG/uARrdieVnT+ZcwG/p6Rj2l09K5UuwzAMwzAMUzcEBweX3nXXXTkLFiwIql+/fmmXLl0uacqVLc6dO+d89uxZ19tvv/2yFubs7IzY2NjLGRkZbgBw4MAB9+LiYurdu3eZguPn52dp1apVvq10d+zY4SWEQExMTDlvnUVFRWQ0GdWzf/9+9927d9dbsWLFcQBwcnLCkCFDshctWhRsVL6s0aVLl8v2ziclJXn179/fZjpJSUnu06dPD92zZ493Tk6Oq8VigcViQUpKSuVmYGqYa1HB07CltRjD7Wk31s5NBTCrShLVEk4OpsKNJKSdxMnzFzGqW0fEb6uU46QqUWoRcHYiODlJOd1cnFFikda2QgisTtiP3q2aIcjHu9ZlYRiGYRiGYWqGRx99NOvxxx+P9PLysjz//PMnayJNUYmJB43S0lIQEX799deDbm5u5RLw9va2ucTrww8/DCotLUWLFi3KZge1/I8ePeraokWLYnv52vOoqU/LFoMGDWoREhJS9N5776WFh4cXu7q6io4dO7YrKiqqUxPNa9FFzDn1t8LsG4AAlJ+xO2cnHmB9du9tAJGG33Uz9ZRXVIy1ew5gQIfW8KqkeSYAnMy5iBe++gH/XPEd5v3wC3YctznjXUaYvy8KikuwMyUdlwuLsO1oGsID5CTo7ynpyC0swh1tmldaFoZhGIZhGKbuGDRo0CVXV1dx/vx5l1GjRjmc8QoMDCwNDg4u3rZtW9lXfYvFgj179pQdt2vXrtDFxUX88ssv9bSwixcvOh05csTmmqCuXbvmCSFw8uRJ1+jo6EL9LzIy0qqSVlxcjBUrVgTOmDHj5Pbt25O032+//ZbUqlWrfKOzlaoQHR2dt2XLFqtrB0+dOuV8/PhxjxkzZpwaPHjwpU6dOhVcuHDBubS0tE6VO+DanMHTbP+iARzWAonIC0BzAN8Y4urX5Gm0B1AKoMI+GEKI8wDKVWBHi0mvJdYlHkSwjzdujai8VWmz4AB0Cg9DsI838ouLsSv1JFb8sQ+XCgpxZ9uWNq8L8PbCfR1aY8Uf+2ARe+Hv7YlHe9yKvMIifLcvGSO6xMDV2bk6t8UwDMMwDMNcZZycnLB///4kIQQ8PT1NTb099thjZ959992GUVFRhZ06dcp7++23G2RlZbk2aNCgGJDmmMOGDcuKi4trHBISUtKkSZOiWbNmhVosFpsD7g4dOhQOGjQoe+LEiRFZWVknunbtejkrK8vlxx9/9GnevHnh2LFjKyifX375Zf2cnByXKVOmnDVu4zBkyJDs+Pj44Ndeey3TuRpj1OnTp5/q27dvmxEjRjSdMmXKGS8vL8vGjRt9Bg4ceLFZs2ZF9evXL/n444+DIiMji9LS0lynT5/exNnZufJTmDXMtajg/QbgFIDRAFbrwkcAcDWEfQXgfSKKFULsAQAiclNxfxRCXLw6Il8djp/Nxq60E5h6V88qKaX9oqPKHUeHNUT81j/w48Gj6NkyEu6utqtDr6hm6NKsCS4VFCLQ2xtOToQVf+xF8+AAtG7UAEdOZ+GbxIPIuZyH8EB/DO0cjQBvr0rLyDAMwzAMw1w9/P39zXi5LyMuLu7UqVOnXKdMmdIUAIYMGXLu/vvvP6efoZs/f/6JsWPHOo0cObK5h4eH5dFHHz2Tl5dn13Jw+fLlqTNmzGg0c+bMxqdPn3b18/Mr7dChw+W77rrL6hq8RYsWBXXt2vWStT36Ro4cmT137tywNWvW+A4ZMqTK+sBtt92Wv3bt2sPPP/98WN++fdu4urpa2rdvnzd06NALzs7OWLx48fGnn346vHPnzu3Cw8MLX3311fTRo0fXuVkbVcVOtloZEv1V/XsrgH8CiIOcibsshPhexRkLuan5BwBWQnrDfA3AD0KIB3VpeQBIAOABYAakSebfAfwFQA8hhKkFakQUASAlJSUFERER1bk9U9jzfLXj+J9Y8cc+PDegbwUF6fX1m9E8OAD927cuC/vPrzshhMCEnl3g6uwEl0p+pdiTnoHPt+/G3+64DRFB5p2vpJ3LwcJffsc/7ukNF2cnvPLdz7g/ti1imoTi691JOHspF0/dcVuF69jrFcMwDMNUH/aieXXGE6mpqYiMjASASCFEqvF8YmJiakxMjGPveAxTwyQmJgbFxMREWDtXFzN4KwzHcepvGoAIABBCLCaiUgDPAngMQBaABTA4RxFCFBDRHZAbo8+HVPQSANxlVrm7njhzMRdnLuZi+7GK6+Zmfr0Bg2LboleryMolqvT7ykwIWpRjlbvatoSflweSMk7DiQi3RjYBAPRsGYF5G7agsLjE7qwgwzAMwzAMwzA1y1UffQshTKkSQojPAXxuIp5mznnD80SfbhXC1u45AIsQGNyxHYLqVd4kcvefGXB1dkJDP/N7wm87mgaLRaBHy4iysFKLBaUWC5ydnFBYImfK69wAmWEYhmEYhmFuMnh65RohMT0TAHAi5wIA4FDmWXi7u6GeuxuaN5COQls0qOgw1MPVBRYhKpx75buf4e/lWaYUHj+bjZ8OHUX7sIYI8PZCQXEx/kg9iaSM0+jfvjXcXcxVhUsFhfgh6TDG97gFzk7SlLqp8qi5ZvcBRIeF4H8HjqJpYH148OwdwzAMwzAMw1xVeAR+jfDZ9oRyx6sT9gOQni8nNehe6fQsFlFuA3RfD3cIAfyQdBiXC4vh7ERo5OeDkd1i0TE8zHS66xIPIjo0BJFBAWVh9TzcMbp7J3yTeBB/pJ1Ak4D6GH5LbKVlZhiGYeoeXtvFa8UZhrm+YQXvGuGNYQOqdN2kvtaVv+fvu6PccZCPNx7r1aVKeegZ0dW64ta6UQO0btSg2ukzDMMwDMMwDFN1WMFjGIZhGIa5zjmfl4+fDx3DiZwLyDh/EcWlFqseuQGguLQU6/cfRkLaSeQXFyOsvi/6d2iN5sEVl4IYKSopxff7kpF4IgN5hcUI8vHGHa2bo1NTx9ZAh09nYc3uJFzIL0DLBkF48Jb28HJ3KztfUFyM177fjMEd2yGmSaPKFQDDMGXY3Y+CYRiGYRiGufbJys1DYnomPF1dyy2jsMbynXux4/ifuKddKxlJP4oAACAASURBVDza41b4eLhj4S+/46TyA2CPxdt2YWdqOu5o3RyP9LgFEYH++O+OPdiVesLudXlFxViybRdahgRhVLeOOJt7GWsTD5aLs37/YTTy82HljmGqCc/gMQzDMAzDXOc0Cw5A3P13AZB76h4+bX1rtozzF7H7zwwMu7UDuqjtjZoFB+CNH35RTtRutZlHytlsJJ86i+G3dijbGimqYTAu5Bfg272H0DE8DE5O1p2lp2ZlQwhgUExbODkR8otLsGZ3Utn5kzkX8HtKOqbd1bNK988wzBV4Bo9hGIZhGOY6x8nkhrZJJ0/D2YkQ2yS0LMzZyQmxTUKRfCoLJaWlNq9NO5cDABXW3Ec1DMbFgkKkZefYvLbUIuDsRGUKoJuLM0osFgCAUPvr9m7VDEE+3qbug2EY27CCxzAMwzAMc5Nw+uIlBHh7wc3FuVx4iF89lFosyMrNs3mtpkRq2yRpuKjjUxcu2bw2zN8XBcUl2JmSjsuFRdh2NA3hapul31PSkVtYhDvaNK/SPTHXB9OmTQtt2bJlu7qWoyps2LDBu1WrVm1dXV07denSJcpWvHfffTfQy8ur49WUzRpsoskwDMMwDHOTkFdUDE9X1wrhXm5uZedtEexbD4CcyWujm8XTZvbsXRvg7YX7OrTGij/2wSL2wt/bE4/2uBV5hUX4bl8yRnSJgauzs83rryfaL27f+Wrmt2/svl2ViT906NCI1atXB/7jH//IeP311zO18HXr1vkMHDiwVUZGRmKjRo1KqiMTEXVetGjR8UceecT2tO41xOLFi+uPHz+++YABA7LXrl2bYjw/bdq08LZt2+Z/9913R3x8fCy20hk/fnz20KFDHS9mrWVYwWMYhmEYhrlJEACsWnPq9s61RauQIDTwrYc1u5Pg6eqKBr71sO9EJnanZwAACPbNRHtFNUOXZk1wqaAQgd7ecHIirPhjL5oHB6B1owY4cjoL3yQeRM7lPIQH+mNo52irXkCZ6uPu7i4+/PDDhlOnTj0bGhpaLWVOT0FBAXl4eDiuTDVITeS5aNGioCeeeOLUokWLGpw9e9Y5ODi4nK1yWlqa+2OPPXamRYsWNr9iFBYWUr169US9evVqrDyrCptoMgzDMAzD3CR4ublanWnLKy4uO28LZycnjOneCW4uLnj/p2148esNWL//MPq3bw0A8PV0d5i/h6srgn3qwcmJkHYuB4npmbg/th0uFxZh8bZd6NkyAjMH3gk/Tw8s3bGninfJOKJr164XQ0NDC5977jm7Lku///77eh06dGjt7u7eKTAwMObRRx9tUlBQUKbJd+nSJWrkyJHhjz/+eGN/f/+YW265pXVYWFh7ABg/fnwzIuqsHWt8/PHH/k2aNIn29vbueOeddzbPzMwsN+H0zjvvBDZv3rydu7t7p4iIiOjZs2c3KNWtDSWizq+88krw3Xff3dzT07PjlClTwtatW+dDRJ3XrFnj06FDh9aenp4do6Oj2/z6668OvxAcO3bMdceOHb4zZ848FRsbe3nhwoVlbmiTk5PdiKhzbm6u89SpUyOIqPO7774bqOX35Zdf+rVv376Nq6trp9WrV/taM9FctmyZX4cOHVp7eHh0ql+/fuwdd9zRIi8vjwDgww8/DIiOjm7j7e3dMSAgIObee+9tlpKSYrsRmoQVPIZhGIZhmJuEEF8fZF/OQ1FJeWcqpy/kwtnJCUH17I+HG/r5YNrdPfHcgL545p5eeOG+O+DrIRW7iCB/03JYlGOVu9q2hJ+XB1LP5cCJCLdGNoGbizN6toxASlYOCovrfDLkhsTJyQkvvfTSyS+++CI4KSnJqmaekpLiOmTIkJbR0dF527dvP/D++++nrlmzJmDy5MnlNj38+uuvA4UQ+Omnn5KXLFmSsnPnzoMAMG/evLS0tLRE7RgATp486bZixYqAlStXHluzZs3hAwcOeD399NNl6c2bNy/o5ZdfDnvhhRcyEhMT98+dOzf9vffea/Taa68F6/P897//HdqvX78Lu3btSpo2bdoZLfyFF15o/K9//evktm3bDtavX79kzJgxkRaLTYtKAMCCBQuCbr/99gsNGzYsHTFixLklS5aU5dW8efOitLS0RA8PD8ucOXPS09LSEsePH5+tnZ85c2bY7NmzTyYmJu7v3bv3ZWPaK1eu9B01alSLPn36XNy6deuBH374IblHjx6XSktLCQCKiopo5syZGTt37kxatWrVkezsbJcHH3ywmV2BTcAmmgzDMAzD2ORqbqD986Fj2P1nBs7n58PbzQ0tGgTinuhWDs30TuZcwMpd+3DmYi7CA+rjwVs7lLum1GLB2//7FZ2ahqFv65vbkUe70AbYkHQYiScycWtEYwCyfBLTM9AqJAguJtfBaeVbarFg69FUtAoJQlA98x4wtx1Ng8Ui0KNlRFlYqcWCUosFzk5OKFQK6FW19bvJGD58+IU333wz99lnnw1bt27dceP5N998s0FwcHDxZ5999qezszM6depUcPbs2RPPPPNM0zfffDNDW4sWFhZWuHDhwgobIfr7+5eGh4eX09BLS0tp2bJlqYGBgaUAMHr06LNLly4N0s6/8cYbjeLi4k5oa/dat25ddPTo0cz//Oc/DZ577rmzWryBAwdmT5s2rWwvkKNHj7oDQFxc3MmBAwdeAoAXX3wx45577mmdkpLi2rx5c6umlRaLBUuXLg166aWXTgDA2LFjc5599tnwLVu2ePXs2TPPxcUF4eHhJUQEPz+/Cvfz3HPPZQwZMuSirTKeO3duaL9+/XLefffdDC2sa9eu+dr/U6dOPaf937Zt26IFCxb82alTp3bHjh2zKbMZeAaPYRiGYRibXK0NtFf8sRebko+ha7MmmNDzVvRrH4XjZ7Px0aYddmdxSi0WLNmWgEBvb4y9rTMsQmDZ74nl4mw9kgqLEOjVKtLcTV+nJKZnIjE9EydUeR/KPIvE9EwcO1M2hkSYvx9imzTC2v9n777DojzWPgD/3oVdtgJL771LU4oiFuy9xBg12BKTk8QSTdCjyUkxn0k0MYmJRj1GjfXEGjXWWFEsqCAgIiKIdJDe67b5/lhZqcuiaCxzXxeX2dmZ952FKPvszDxPXCKup2XhXkEx/nctDqU1dRjm6dLseitOnMeGC9eatZ1LSkVsZi5SC0twIyMHa8Ovori6Fq/7NduFp1ZVfQNOJaZggp+nKiOn7cOMmofj7iAlvwjHb92FraE+uGy6FvE0rVy5Mufvv/8WX7x4sdWnKMnJydwePXrUaDUJ+gcOHFgtlUqZO3fuqFb9vL2920+92oK5ubmkMbgDAAsLC2lpaSkbAPLy8rTz8/M5ixYtsuXz+d0bv7799lur7OzsZquM/v7+bd7T399fFTzZ2NhIAeDBgwftbnk8cuSIqLKyUmvKlCnlAKCnp6cYMmRI+YYNG4zaG9NU79691b72pKQk3oABA9oNAC9fvswfNGiQo4WFhZdAIOgeHBzsDgBpaWkcTe7fHvq3hqKoF9pPk0f/01P4Ry3ce+yfngL1knsWBbSlMjnisx8gxNWh2QqbSIeDzZeikVFSBlcz4zbHFlXVoKSmFvMG9YaIqwMdtjbWnouERCYHR1sLFXX1OH3nHt7u498qvf/LZufV2GaPD8beBqD8OcwxCVK1Tw7wwd+3k3HydgrqJFKY6+vi3X6BsBLrNRuvUBAoWiRfkcjk+Pt2MirrGsBja8PVzBgze/eAPp+n8TyPxSfB08K02QcGQq4Opgf1wNH4JNzIzIG1gT4m+/tqfE3q8fTv37922LBhZUuWLLH67LPPHjR9jhAChmHaXERlmmTq4fP56vdANsFms5tdj2EYNG6hbDxn98MPP2SFhIRUq7uOUChs854cDkd1/cY5qtuiuXnzZuOqqiotkUjUo7GNEAI+ny+vqqrKUZcxEwA6el6dyspK1pgxY5z79OlT+fvvv6ebmZnJCgsLtYcPH+7a0NDwRP9Y0QCPoiiKoqh2dUUB7fC79yGTy9vd/icnykCi5WoN72HCj5ZBRrOxD9+8NabY52hpgQCQKRTgQAtHb96Bp6WZRttEX3Q/ThqlUT+2thbG+npgrK+H2n6fjR7Yqm2ElytGeLVbBkwjb/ZsO3BzMzdpVUSdevpWrlyZ2717924nTpzQbdru5uZWf+TIEbFcLkfjKl54eLiQzWYTd3f3BnXX1NbWJjJZ585PWltby0xMTKT379/XmTdvXknHI55MQUGB1pkzZ/R//fXXjJ49ezY7Pzd8+HDX7du3i590Hu7u7nXnz5/XXbhwYatPxuLj47nl5eXaP/zwQ66bm5sEUJZreJL7NaIBHkW1g64M0ZUhiqI0p0kBbTM9UZtjuWxt+Nla4vK9DNgY6sNarI+y2joci0+Chb4unE3a3y1lLBKCx9bGpZR0BDvb4dK9DBiLBOBz2LhXUIzkgmIsGd6/S18rRb1MPD09G958883iLVu2mDZtDwsLK9y8ebPJ9OnTbRYtWlSYkpKis2zZMquZM2cWdrRyZWlpKQkPD9cdNmxYFY/HIy3LDrRnyZIlef/5z39s9PX1ZePHj6+QSCTM9evXBbm5uewVK1bkP8nrbGnjxo2GfD5f/sEHH5RoazcPiYYPH162bds2oycN8JYsWfIgNDTUaf78+RYzZ84sJYTg+PHjumFhYcWOjo4SDodDfvrpJ5OPP/648NatW7yvv/7asuOrduzl3qtAURRFUdQz8SQFtAHltkFPSzNsuHAdnx06hR9PXYRcQfBev0Boa7X/doWjrYXX/bwQfjcVX/51Grdz8/GGvzdkcgUOxt7GSC9XCLkdp++nqFfZihUr8rS0tJotldvb20sPHjx47/bt2/xevXp5zJ07127cuHGla9asye3oesuXL8+OjIwUOTg4ePv6drBU3ERYWFjx6tWrM/bu3WsYGBjYbdCgQW5bt241sre3V7ti+Dh27txpNHz48PKWwR0ATJ48uSwmJkZ469atJ/rHY/LkyRU7duxIPXfunF5QUJDHkCFDXCMiInS1tLSIhYWFbO3ateknT57U7969u+e3335r8f3332c/yf0aMUSDwpYvO4Zh7ACkp6enw87O7qnf71VeGXqRVoVe5Z8T8OL8rOjP6cX4OVEvDnV/p66nZWH/jYQ2s2j+FnEdEpkMHw4Kbtaekl+EjRejMGdAEByM20/ScuLWXUTez8RgD2dYG+ihvLYOZxLvgctmY/aAXtBp401YUxKZHOW1dTAQ8KGtxcK5O6m4nVeADwf1xoPyShyKS0RBRRVMdUWY4OcJC33dNq/zovydov/2PZufU0ZGBuzt7QHAnhCS0fL5+Pj4DB8fn7YPplLUUxQfH2/k4+Nj19ZzdAWPoiiKoqgn9iQFtPMrqhB+9z7G+LgjxNUBjsaG8LO1wjt9A5FTVoGotI4/1OZoa8FEVwhtLRZKa2oRfvc+XvfzBCEE2yJj4GpqjC/HDIaLmRG2X4lRnd2jKIp62dAAj6IoiqKoJ/YkBbQfVFQBAKwNmucXMBYJwGNro6BSbUK9Vg7H3UGAnRWsxHoorKxGWU0d+rrYg62thX4uDiipqUVRVauaxBRFUS8FGuBRFEVRFPXEulmYQK4giM95lGld0wLaoodn5LJLy5u1F1VVo04qgx6Pq/E87uQVIKu0vFVNN8nDjH6Nf9IDKhRFvaw6nUWTYRgWAC4hROOihlRzXHHYPz0FiqIoitJYfLYyaGtaQFugw4FQhwNHE2X5gaYFtBUKBQwEfETez0RpTR1Ce3Vvdr0VJ85DzOfhg5BeAAAHIwNY6OviaHwSaiVSWBvooay2Hufu3AOXrQ1/OyuN5imVy/FXXCLG+LirSiwYi4TQ53PxV1wiejna4mpqJsR8HoyFgi753lAURT1vNArwGIYZAeBNAP0BWCqbmHoAsQBOAthKCMl7arOkKIqiXnivclKIFyVxR3uedgFtFovB+/174lxSKq6nZeFUYj0EHA7sjMQY1s0FYoFmRbTPJaXCQMBHD9tHmca1tViY0dsPh2JvY+vlGzDTE2Jmbz+1mTkpiqJeZGoDPIZhxgNYCUAE4ASA5QDyANQBMADgCWAwgC8YhtkG4AtCSNHTnDBFURRFUc/WsyigLdDhaDRWneGebRfgtjHQx4LBfR77uhRFUS+SjlbwPgUQBuAEIaStdFP7AIBhGEsACwDMAPBTl86QoiiKoiiKoiiK0ojaAI8Q0lOTixBCcgEs7pIZURRFPaHy2jqcv3sfOWUVyCuvhFSuaLNuF6CsvZVTVoGcsgrUSqSYHOCNAHtrje5z/NZd3H1QiLLaOsgVCujzeehhY4n+rg7gaLefUAIAUgqKcTguERV19XA2McIb/l7g63BUz9dLpfj+7wiM794NPtbmnfsGUBRFURT1ynrsDegMwwgYhmm7SihFUdQ/qLi6FvHZD8Bjs2Fv1H5hZQC4kpoBqVwOd3OTTt+nXipFgJ0Vpvbqjll9AtDDxhLnklLxx7U4teNqJVLsiIyBs6kRpvXqjqLqGhyJT2rW5+TtFJjriWhwR1EURVFUp3Q6wGMYxpVhmCgAVQDKGIa5xTBM947GURRFPSsOxgb4atwQvNsvsMMA6evXhmHuwN4Y4uHc6fu87ueFfq4OcDc3gbOpEYZ0c0Y/F3sk5hWgpkHS7riM4lIQAoz18YCbuQkGuTvh7oNC1fO5ZRWISs/GhB6enZ4TRVEURT3PLC0tvb788kvTf3oejyMsLMzC0NDQh2EYvzVr1hi21y8wMNB1xowZNs9ybk11ukwCgN8AbAIQAkAHwL8BbAfg3XXToqjnz7Pa9qdQEFy+l47r6dkorakDl60NW0N9DO3mAgt99YvmJdW12H/jFrJLy2GiK8Ib/l6txmy+FAUDPh8T/F7e4IHFME+lryb4D1Ozq7uuXEGgxWLAYin7cLS1IFMojzkTQnAw9jb6uzjASETTuFMU1TZacun5leTm7vcs7+d+NymmM/3z8vK0Fy9ebHH+/Hm9oqIitkgkkru4uNQtXrw4/7XXXqvsqnmtWbPG8JNPPrGpra1Vv63lOTJw4ECniIgIvT///PNey+9FdHQ09+effzbfvn37/ZCQkGoDAwN5e9c5evRoKofD+cfKbXa4gscwzP8YhmkaoZoD+IMQUksIKQOwF4BmBWoo6gX2rLb9nbydjKO3kuBpaYZZffwxrrsHSqprseHCNZTX1qkduycqHgAws7cfxHwedkTGQK54lB8pIScfOaUVGOHVdqY56vHIFQo0SGVIKSjGxZR0BNpbqWpwtcVSrIt6qQzR6dmoaZAgMjUTNgb6AICo9GxUN0gw0N3xWU2foiiKeoWMHTvW8ebNm4L169dn3L59+/bBgwfvDRkypKKoqEj94fHnmFwuh0wme6JrZGZmsq9evSp65513CjZv3mzU8vm7d+9yAWDatGnlNjY2MqFQ2CqAq6+vZwDA1NRULhaL20pQ+UxoskUzCkA0wzDTHz7eBSCKYZjvGYZZBeAIlCt4FPVSe1bb/m5k5MDX2gIjvFzhbGoEX2sLTA/qgVqJFElNtvG11CCTIb24FCO93OBiZozx3T1QXF2L4uoaAIBEJsfhm3cwxtddbfBBdc6Diios+fNvfHboFDZGXIezqREm+qnf0GAg4GO0txv230jA0sNnUFhVjbG+HqhtkOBEQjJe694NbK0X9vcsRVEU9ZwqLi7WiomJEX7zzTc548aNq3JxcZH079+/dtmyZQXvvfdeWWO/oqIirQkTJtjp6ur6crncHr1793a5ceMGt/H5NWvWGPL5/GZHtI4dOyZiGMbvwYMH2seOHRMtWLDArq6ujsUwjB/DMH5hYWEWjX3r6+tZoaGhtkKhsLupqan3F1980WzLZklJidabb75pa2Bg4CMQCLoHBAS4Xrx4kd/y/nv37tVzdnbupqOj4xcXF8d9/fXX7QYMGOD09ddfm5iYmHjr6ur6Tpw40a6qqqrDmGfDhg2G/fr1q/z3v/9deO7cOf38/HzVL+KwsDCLGTNmOAKAlpaWH8MwfgDQeL/PPvvMzNTU1NvCwsIbaL1Fs76+npk3b56lhYWFF4fD6WFlZeX1zTffmACATCbDpEmTbC0tLb24XG4PW1tbz88//9xULm93gbBDHW7RJISsYRjmEIC1DMPMAPA+gBsABgJgoCyjcPCxZ0BRL4hnte1PplBAR7v5X00uW/mYqFnslyuUT7IfFu/lPLyGTK78AOnMnXswFPDgZ0sX3LuSkZCPBYODIZHJkVFShvCk+1CQm5jaS/3R5H6uDgh0sEZVfQMMBQKwWAz237gFR2MDuJmb4F5BMY7GJ6GsphY2hmK87ufZ5nZgiqIoitKUnp6enM/nK/766y/9oUOHVvP5/DbfWUyZMsUuLS2Nu3fv3lRDQ0P5J598Yjl69GiX1NTUhLZWrloaPHhw9bJly7KXL19umZycnPDw3qoVrY0bN5ouXrw49z//+U/+4cOH9T7//HPr/v37Vw8ePLhGoVBg6NChTiKRSH7gwIF7xsbG8k2bNhmOHDnSNTEx8batra0UACQSCeu7774zX7duXYaZmZnM2tpaCgA3btwQmpqaSk+ePJmSkZHBmTlzpsPy5cvrV6xYkd/efBUKBXbt2mX09ddf5zg7O0u8vb1rNm7caPjll18WAsDSpUvzraysJAsXLrTNzMyMbzo2KipKJBKJ5MeOHUshhLT5BvCNN96wi4qKEn3//fdZgYGBtffv39fJzMzkAIBcLmcsLCyku3btum9mZia7dOmS4OOPP7Y1NDSUf/zxx8Udfa/botEZPEJINoBxDMNMAnAGynN4/26nNh5FUU+gt5MtLqakw83cGE4mhqhpkOJo/B3o8bjwVbNyyOewYSQU4EpqJkZ6u+FSSjp4HDaMRUIUVlbjSmoGFgwOfoav5NXA1tKC9cPtlY4mhtDl6mBv9C30cbaDraFY7Vgumw0uW7mamllShvjsB/j3sP6oaZBge2QMxvl6wMfaAn/FJWL39ZuYO7D3U389FEVR1MuLzWZj3bp16QsWLLDbvXu3sbu7e21gYGD1lClTygYOHFgDAAkJCTrh4eH6J06cSB4xYkQ1AOzfvz/dzs7Oa+PGjYZhYWEdBh1cLpfo6enJGYaBjY1Nq72Tffv2rfjPf/5TBACenp6FGzduNDl9+rTu4MGDa44dOyZKSkriFxYW3mwMJlevXp136tQp/U2bNhl88803BYByW+aaNWuy+vbtW9v02gKBQLFz585MNpuNHj161O/bt68sIiJCF0C7Ad7x48dFFRUV2pMmTaoAgNDQ0OL169ebNgZ4enp6CrFYLAfQ6vVwOBzF3r17M3g8XpuBb0JCgs6xY8cM9u/ff2/ixImVAODh4aHKxKajo0N++eWXvMbHrq6uktjYWP7+/fsNnmqABwAMwxgSQvYxDHMKwI9Qbtv8FyEk9nFuTFFU24Z7ukKbxcL2yBjVip2xSIDZA3o1q5PWlon+XtgRGYNraVlga2lhSqAPONpaOBh7G32c7GCqK3oGr+DVZvUw2CuurukwwGukeJhYZYiHM/T4XCTmFYDFMKrEPH2d7fDT6UtokMqgw36c3FjPp84kLpLK5Th5OwWxmbmok0phqa+Lkd5ucDRuN4kZACC1sAQbLlxr9/kPB/VW+3Oi9QopinrZvPXWW+WTJk2KP3XqlOjKlSuCc+fO6W3atMl0yZIlud99913+rVu3uCwWC40BHwAYGhrKXVxc6u7cucNVd21NeXp6NksqYGJiIi0sLNQGgOjoaH59fT3LxMTEt2kfiUTCSktLU91fS0uLBAUFNQvuAMDJyamOzX50FMXc3FwaGxurNmvZ5s2bjUaNGlXK5XIJAMyYMaPs008/tQkPDxc0/T60xcXFpa694A4Arl+/zmexWBg1alRVe31WrlxpvGPHDqPc3FxOQ0MDSyaTMRYWFu2n4+5Ah+8UGIYZBOW5O2OGYfIAvEEI+RfDMP0B7GQY5iSAzwkh6rM/UBSlkcjUTJxNSsVgd2c4mhiipkGC83fvY1NEFOYMDIIer/1/W51MDPHlmMEoramFPp8HjrYWYjNzUVJdi1l9AlBaU4sDMbeRVVIGsYCPsb4ecDJR/waZ6py0whIAgKFA8wyYkamZUCgI+jjbqdrkCgXkCgW0WCw0yJT78P+xdFxPSWPiIiuxHuyNDJBS0P4HlfuibyHpQSFGe7vDUMjHldQMbLoYhQ8H9oalWK/dcVZiXXw4qPXK577oW6iVSGEt1m93bGO9Qn87K7iZGePYrbs4Ep+EKYE+qj60XiFFUS8iPp9PXnvttcqHmSIfTJ482fann36y+Oqrrwra22YIAMzDIygsFgukxbkRqVSq8fkUNpvdbDDDMFAoFAwAKBQKxtDQUHr+/PnkluMaV9EAgMPhEG3t1qFMW9dW95qKi4u1Tp06JZZKpczevXuNG9vlcjk2btxo1FGAx+fz1e5obPl9amnTpk3iL774wnrp0qXZ/fr1q9HX15f//PPPJidPnmz/F1QHNPkoeB2AlQ//HA7gFwA9CSERD+vffQngJgCalu8xlVUX4czNPcgqSkZuaRqksgb8X+gfMBSZNeuXWZSMK3eO437+LZRWF0LI1YOjmRdGB7wNI92O31zsPL8SGYVJqKgphoIoYKxrgSD3kejnMRYslvqEDtH3zuH4ja2obaiGr31fTAyeB462jur50qoCfLNvFuaP/hF2pu6P942gUNsgwZGbdxDi6oBhni6qdmcTQ3x7/Dwu3E3DuO4eaq+hrcWCia4QgHJ14Vh8Eib4eYKjrYVdETdhqifEzN6DcTM7D9uv3MAnIwdA0MHK4IsoPvsBACCnrAIAcPdBEQQ6HAh1OHBsEtTeLyxBdYMEVfUNAIDssgrV+cWmb9o3XLiGsto6fDpyAAAgr7wSx+KT4G1lDkMhHzKFAmlFpbh0Lx1uZsawM9Js9a6qvgGnG09qcAAAIABJREFUElMwq48/tFjK85O2D1cBD8fdgaelKc7cSYWtob7qLObLojFxEQBcT8tqN8DLK69EXFYeJgV4I/DhqqaDsQF+PHXx4fcuoN17cNnsVit0pTW1KKysRj9XB1WpirY0rVfIYjGok8pwOC5R9XxjvcKwIX01fs0URVHPI3d393q5XM7U1tYyPj4+dQqFAuHh4YLGLZqlpaWslJQU3rRp00oA5YpbfX09q7S0lGVgYKAAgNjYWF7Ta3I4HNIYtHWGv79/7YoVK9gsFos03cr4tGzatMlALBZLjxw5cq9p+8WLF4VLly61rqyszNbV1X3sY2m9evWqVSgUOH78uKhxi2ZTly9fFnp7e9c0blkFgPT0dJ2W/TpDk3cL5gCOE0LqH67WrWp8ghAiAfA5wzC7n2QSr7qiylzEpV2AtZELHM28cDfnRpv9YlLPI78sA/09X4O52A7lNcU4Gfs/rDw4G59O3AixUH1Kfqm8Af09x8NI1wIMGCTlROPAlXUorsjFxOB57Y4rKM/GzgvfY5T/WzAX22Hf5dU4c3MPRvnPVPXZf2UtApwH0eDuCRVV10CmUKjOdDXi63BgKOSjsKq6U9c7eTsFVgZ68LQ0Q71UhoySMrz+MNgLtLfGsfgkZJaUwcPihaw3qtbOq813jx+MvQ1AGRjMMQlStZ9KTEFaUanqcWRqJiJTMwEAPtajVO0KQqBQPPoUTsTVgUCHg3N3U1FV3wCOlhYMBHyM8XZHTwfNah4CwLH4JHhamDYrvSHk6mB6UA8cjU/CjcwcWBvoY7K/r5qrvJg0TUaUmFsALRYDX2tVAjZosVjwtbZA+N37kMnl0O5E1tHYzFwQAP526hMO0XqFFEW9bPLz87XGjx/vOGPGjGI/P786PT09eWRkpGDt2rVmvXr1qjQwMFAYGBg0DBo0qHzu3Lm269evzzQwMJB/8sknlgKBQPGvf/2rBAD69+9fw+PxFAsWLLBasmRJwY0bN3hbtmxp9kbU0dGxoaGhgTl06JBur169aoVCoUIkEnUYKI0bN66ye/fu1ePHj3f65ptvcry9vetzcnLYx48f1xs2bFjl8OHDO/dmqAM7d+40GjVqVFlAQEB903YvL6+Gr776ymrLli3ijz76qORxr+/l5dUwcuTIsrlz59pVV1dn9erVqzYjI4Nz//59zty5c0tdXFwa/vzzT6N9+/bpuru7N+zYscMgOjpaqKur+9hpNDUJ8I4A+JNhmCMA+gA40bIDISSx1ShKY07m3lgx4wAAIDLpeLsB3hDfKRDxmr/xdzTzxNJdU3El6ThGB7yt9j6zBn/R7LG7tT8qakpwNfmk2gDvbk4MTHQtMax7KAAgvywT8RmXVQFeQuZVpBfcwReTt6p/oVSHRFzlBzZZpeXoZvko6KptkKCkugZWYvWFzpvKK69EdHoOFg5rXF1QBieSh2l35QqF6s3qy+jHSaM67gRgzoCgjju10U/E1ekwU6Ym3uzZduDmZm4Ct8eoo/gyKqisgoGAD4528yDOVE8IuUKB4upamOlpfr70RkYuLMW6MO9gTNN6hR4WprReIUVRLzw9PT2Fv79/zfr1602zsrJ0pFIpY2JiIh0/fnzJt99++6Cx3+7duzPef/9960mTJjlJJBJWjx49qo8dO5bSmPTE1NRUvnHjxvTPP//cav/+/Ub+/v5Vn332We7cuXPtG68xZMiQmtDQ0KJZs2bZl5eXa3/88ccPVq1aldfWvJpisVg4e/bsvbCwMMsPP/zQrrS0VNvQ0FDm7+9f/e677z52oNWWy5cv85OSkvirV6/Oavkcl8slgwcPLt++fbvxkwR4APDnn3+mf/zxx5aLFy+2KS8v1zY1NZXMnj27AAAWLlxYFB8fz3v33XcdCCEYMWJE2fvvv1+we/fuVrX4NKVJgPcOlKUR3AD8D8CWx70Z1TYWo0k5QrQK7gDAQGQKIU8PFTWPlWQHAq4uWIz6T77lChnYTbZjcthcyGTKFXOJrAF/XlmH8b3+BQFX8+DjRfW0t/0ZCPhwNzfBheQ0MAzgaGyIGokEF+6mQaZQIMjRVqN5EkJwMOY2Bro5qhJWcNlsWBvo4/ituxjs7oSE3HywGEbjRCAU9U+plUjBY7eu3cjncFTPayqjuAzF1TUY56t+qzPQvF6hgtyCWMDDO30CVPUK3wz0eSnrFXLFYf/0FCjqheZ+Nynmn55De3g8Hlm7dm0ugFx1/YyNjeUHDx7MUNdn2rRp5dOmTStv2jZnzpzSpo//+OOPLADNgqfc3NyElteKiopqdt5OLBYrtm7dmg0gu617z58/v2T+/Pmtgq4DBw60mvOqVavy2gss+/TpU0sIaffndejQIdX13n777bK33367Wd+27ge0fj08Ho9s2LAhZ8OGDTkt+3K5XLJv375MAJlN23/88ccHLftqSpM6eBIAvz7uDainK78sE1V15TAVa/7GX0EUaJDWITk3FtdTTmOwz2S1Y+xM3PHXtd+QlHMD5mI7XEs+qdqKeTpuF/QFhujpMuyJX8uL4Glv+wOA6UE9EJGchrjsPEQkp4PL1oalWBdze/RutXWzPdHpOaiVSNDf1aFZ+9SevvgzJgHbImMg5vMwPajHS3n+jnq5EABt7ubs4OB6W25k5ECLxaCHraVG/Wm9QoqiKOpFozbAYximDyHksiYXYhhGCMCeENIqKqeeDrlCjj2XfoGQq4/ebiM0GnM76xp+O/k5AIABgyG+UzDCb7raMQ5m3RDiNQHrji8BAFgaOmKk30wUVuQg/NafWPTaWlVWpZfd0972ByjP+Qzp5owh3Zw7NbemAh2sEdjGOTAjkQAfhPR67OtS1D+Bz2GjvLZ1ouZaqVT1vCZkcjnicx7A3dykUx9s0HqFFEVR1IukoxW83xmGyQGwGcpEK60yvzAM4w1gGoAZABYBoAHeM7Lv8hqkFSRi9vDl4Otodv7EycwL/56wHvUNNUjOjcW5W/sBhsHYwHfUjpsQNBtDfUNRJ6mBka45GIbB2uNL0NdjLCwM7BGTeh4nYnagqq4MbpZ+mNx3wSuxZZOiqKfPVFeE27n5kMjkzc7hFVRUQ4vFgpFQsxWzxLxC1EmkHSZXac+rWq+QoiiKerF0dPirG4CDUJZCKGUY5i7DMOcZhvmbYZhrDMOUAbgOwBLAQELI/57yfKmHDl/fjMik45jW/99wt/bXeBxPRwhbY1e4WvXA2J7vYmj3UJy5uQflNUUdjhXy9GCsZwGGYRB7PwL5ZZkY6T8D+WWZ2Hn+e7wRPA/LQnehXlqDPyPXPcnLoyiKUulmYQK5giA+59FxBLlCgfjsPLiYGmmcQfNGRg74HDbcHzN5jbp6hQBe2nqFFEVR1ItF7UeMhBAZlPXv1jEM4w9lFk1bADwAMQB+AHCeEFLa/lWornYy9g+cubkbE4PnIdBlyBNdy8bYBYQoUFKZD32BcccDADRI63Dw6npM7D0POmwe7ubGwtzADm5WfgCAvh5j8UfEj080L4qiXg2aJC6yFOvB19ocR+ISoVAoYCDgI/J+Jkpr6hDaIpPpihPnIebzWm1FrqpvQHJ+EXo72qrqDXbGq1yvkKIoinqxaPxbiBByA0Db+fupZ+ZCwkEci96CMQGzEOL52hNfLzXvFhgwMNSgUHqj4ze2w8LAAb4Oj4r7SmSPSoc0yOpB6GfYFEVpQNPERZMDfPD37WScvJ2COokU5vq6eLdfIKzEes3GKxQEijaSr8Rl5kJByGNvz3yV6xVSFEVRLxaNAzyGYcIBTCCElLdo1wXwFyFkYFdP7lUSlxYBAMgqvgcAuJMVBSFPD0KuPpwtfAAAN1LDcSByPTysA+Bi2R3pBXdU47kcPszFdqrHX+2eDgOhKeaPUa6k3c68hmvJJ+FpGwQDoQnqpXW4kx2FK0nHEewxGvoCzUptPCjNQGTScXwy8TdVm6tFdxyIXI+/Y3bA1tgNJ2P/BzcrzbeNUhT16tI0cRFbWwtjfT0wtoPyBp+NbvtXUT9XB/RrkVW2M2i9QoqiKOpF0Zl9JCEA2ko7xgXQt412qhN+P7Os2eO9l1cDAJzMffDR2FUAgKTsaBAQ3MmOxp3s6Gb9m/YDAIVCDgV5VMTaSNcChBAci96K6rpy8HQEMNazwowBS+DnpHlsvvfyagzyeQNGuhaqNnMDO0wPWYwTMdtxLn4/XCy7Y2LvuZq/eIqiKIqiKIqiukSHAR7DMD2aPPRmGKbpeTstAMPQQbFEqmNr3z/XYZ/pA5Zg+oAlGl1v2dRdzR6biW3wr2H/91hza+qjsT+32R7oMuSJzwNSFEVRFEVRFPVkNDlpfgNANJSJwU4/fNz4dR3ApwCWtTuaoiiKoiiKoijqBZGVlaUdHBzszOPxujMM49dev+TkZA7DMH4XL17UrF7PM6LJFk17AAyANACBAJrm05cAKCSEyJ/C3CiKoiiKoigNlFUX4czNPcgqSkZuaRqksgb8X+gfMBSZteo777dBbV7jk9d/g5WRk9r7XEs+hYTMq8gqSkZZdSF6ugzVeHdRdvE97Ln4M/LLs2Bn4o6p/RfBQGSqel6ukGPlgQ8Q4DwYg30na3TN59G6D8LbDQiehrkbBsZo2nflypXGS5cutSorK7vJ5XIJANTX1zNisdjX2tq6ISUlRZXgISEhQcfb29vz8OHDKWPHjq160nlaWlp6vfPOO4XLli0reNJrPanc3FxtBwcHbwMDA2lOTk6CVotyO998841ZYWEhJyoq6o6enl67cY6jo6MkMzMz3tzcXPbUJ90JHa7gEUIyCSEZhBAWIeTGw8eNXw9ocEdRFEVRFPXPKqrMRVzaBfB1RHA08+qwf0+XYVg4/tdmXyZ6HWeZjb53FsWVeXCz8gOXI9B4fnKFHL+f+T8Y6Vrg3aFfQUHk2HH++2Z9Im4fgoIoMMB7osbXpTpn+PDhlfX19ayIiAjVD+/ChQsCoVAoz8jI4Obl5akWf06fPi3icDhk8ODB1f/MbNtWX1/PPOk1/vvf/xoOHDiwXEdHhxw4cEC35fNpaWk6Xl5eNV5eXg02NjZtBm/19fWMtrY2bGxsZGw2+0mn1KU6VQyIYRhrhmFCGYb5iGGYsKZfT2uCFEVRFEVRlHpO5t5YMeMA5oxcgR4O/Trsry8wgr2pR7MvDpvb4bi5o77HpxM3Ymr/ReCyeRrPr7A8G8WVDzAxeC7crfwxNvBd3H9wCxKpssxSeU0xTsTswOQ+C6DF0urgatTj8vb2bjA2NpaePXtW1Nh29uxZUXBwcJWnp2ftyZMnVe0XLlwQ+fr6VvP5fNVK3+zZsy1NTU29eTxed09PT/emwVFDQwPz1ltvWZuYmHhzOJweZmZm3nPmzLEEgMDAQNe8vDzO119/bcUwjF/TbY9nzpwRBAQEuPJ4vO4mJibeU6dOtSktLVXFKIGBga5Tp061ee+996zEYrGPv7+/GwAwDOP3448/Go0YMcKBx+N1t7Ky8lq/fv2jWjZq/PHHH0bTp08veeONN0q2bNnSLJW8paWl17lz5/QPHTpkyDCM3+uvv27XeL8VK1YYDx061JHH43WfP3++ZVtbNOPi4rgDBw50EolEvnw+v7uvr69bVFQUDwAiIiL4wcHBzmKx2EcoFHb38/NzPXv2rOaflGhI4wCPYZipAFIBbALwEYAPm3zN6+qJURRFURRFUZphMZ36zP6Z30emkAIA2Fo6AACONhcERNV+8Op/4WMXDCcL766ZKNWuoKCgqkuXLqkCuUuXLon69+9fFRwcXBUeHq5qv379uqhv376qrZmTJk2yi4yMFG3bti0tJiYmMTQ0tHjKlClOV69e5QHA8uXLTU6ePCnevn17WmJi4u2dO3fed3V1rQeAo0ePppqamko/+uijB5mZmfGZmZnxABAVFcUbN26cy8iRI8ujoqLu7Nmz535iYiI/NDTUrumc//rrL0NCCMLDw5N37NiR3tj+ww8/WIwZM6Y8Ojr6zrhx40oXLFhgl5KS0lbWf5WTJ08Ky8vLtV9//fXKd955pyQ8PFy/6cpldHR0UlBQUOXIkSPLMjMz4zdu3Jjd9H7Dhw+viImJSQwLCytsee2MjAz2wIEDXRmGIUeOHEm5du3anffee69QJlMuAlZUVGiFhoaWnDt3LvnSpUtJ3bp1q5swYYLzgwcPOlPZoEOdudgyAD8B+IJuy6Qo6nnBFdMNBBT1NGl6tiuzKBlX7hzH/fxbKK0uhJCrB0czL4wOeBtGuuYd3kcirceZm3tw4344yquLIODqwcXCF6MC3mrzHFlTr8rZrq506c4RnIvfB4bFgr2JO0b6z4ST+dMLrkz1rMHjCHE+4QD6e47HhdsHYaJnBb6OCMk5sbibE4MvJm97avenHgkJCan69NNPberq6hhCCOLj44VbtmzJTE5OlixatMgaUK5CFRUVsYcMGVIFAImJiTrHjh0zSE5OTnB2dpYAgIeHR1F4eLjuunXrjIOCgrIyMzM59vb29cOGDatmsVhwdnaWDBkypAYATE1N5VpaWkQkEsmbbnlcsWKF6ejRo0v/7//+r/FcXsP69eszg4ODPXJzc7UtLS1lAGBpadmwadOmnJavZeLEiSVz5swpBYBffvkld8uWLSZnz54Vuri4lLbs22jjxo1GY8aMKdPR0SFubm4Sb2/vmt9++82wcQ4WFhYyHR0dwuVyFS23Z44ZM6Y0LCysuPFxcnJys2Dyp59+MuHxeIrjx4+nNZ5x9Pb2bmh8vuVZxm3btmWZmprqHzp0SLfxdXSFznwMYwpgMw3uKIqiKOrVoenZrpjU88gvy0B/z9cwZ8QKjA18F9nF97Dy4GyUVbf6oLuVPy7+hLO39iHYbRRmj1iO0QFvI/XBLfx6bBEapHXtjqNnuzovwHkwJvdZgHmjV+LNvh+jpr4Sa44tQkrezad2Tw6biyl9P8Lpm7uxeNt43Mq4gtD+CyGTS7HvyhqMDXwHIp7+U7s/9ciwYcMqGxoamHPnzgnPnTsn1NfXl3Xr1q1h8ODB1dnZ2TpZWVnap0+fFnG5XEVISEgNAFy/fp1PCIGPj083Pp/fvfHrwoULehkZGToA8O6775YkJSXx7e3tPadPn26zZ88ePblcfdiQkJAg+OuvvwybXnPQoEFuAJCUlKTT2M/b27u2rfHe3t6qfxzYbDbEYrGssLCw3QNxpaWlrL///lv81ltvlTS2vfnmmyX/+9//jNob05S/v3+b82h069Ytnr+/f3VjcNdSbm6udmhoqK2dnZ2nSCTyFQqF3UtLS9lZWVlqVx07qzMreCcA9IQymyZFURRFUa+AxrNdABCZdBx3c2602W+I75RWb9AdzTyxdNdUXEk6jtEBb7d7D4msAXH3L2Cwz+RmK2y6PDHW//0p7uffhod1QJtjG892LRz/K0Q8MbhsPlb9NR8SaT04bK7qbNcHw76hZ7semjnw00cPzAFvu2B8u/8dHIveirBxq5/aff2cBsDLNgil1YUw0jWHthYbp2L/AJcjQG/3UcgpTsW+K7/iQWkGzMW2mNx3ASwNHZ/afF5VHh4eEgsLC0l4eLiIEIJevXpVAYCurq6iW7dutSdPnhRdvHhR5OfnV62jo0MAQC6Xg2EYXL58OYnD4TQLXgQCgQIA+vTpU5uenn7r0KFDeufOnRPNnj3bbvXq1XWXL19OaZmlspFCocDkyZOLlyxZ0iqzpp2dnaTxv/l8vqKt8S3nwjAMFIo2uwIANm/ebFhfX88aOnSoW9N2uVyO06dPC4YOHVrT7mAAQqGw/YsDIISoTQDz5ptv2hcXF2t/99132U5OTg1cLpcMHTrURSKRdOke684EeGcAfM8wTDcACQCkTZ8khBzsyokxDNMdwFIoSzPoAcgEsAPAz4SQhib9hgD4GoAPgCoAhwAsIYSUd+V8qFcP3fpHURSl+ZmrtlZfDESmEPL0UFFT3MaIRxQKORRE0SorI09HCAAgpP33VOrOdnHApWe7NMDl8OFp0wtX7/791O/FYXNhJrYBAJRWFeDMzT1YMOYnEIUCm04vRS/X4Zg3aiXO3tyLTaeX4otJ26Cl1aXHkyg8OodHCMHUqVNVq1nBwcFV58+f17127Zrogw8+UAVdPXv2rCWEIDc3lz1mzJh2SyaIxWLFrFmzymbNmlUWHh5eMmjQILfExEQdb2/vBjabTeRyebMAyNPTszY5OZnn6enZ0N41u9KOHTuMZsyYUThv3rymZd+wePFiq02bNhl3FOB1xMfHp/bAgQMG9fX1TFureDExMcLly5dnTZkypQIAsrOztYuKiro8BWdn/sb89vDP/7TxHAHQZR+LMQzjBiASQDKUCV2KAQwE8C0ADwAzHvYLgXJl8S8AnwOwAPA9AE+GYfoSdb8RKIqiKIp6qvLLMlFVVw5Tsa3aflwOH4HOQ3Dh9iHYmbjB1sQNpVUF+Ovab7A0dISrZY92x9KzXV2DgCirHj9D+6+sRU/XYbA2dkFuSRpKqvIxwOt1cLR1MNB7Ik7EbEdhRQ7MDeye7cReASEhIVVhYWEGALB9+/aMxvYBAwZUvfXWW441NTWswYMHVza2e3t7N4wdO7b0/ffftysuLs7p2bNnTXFxsfbZs2dFjo6ODTNnziz/6quvTM3NzaUBAQG1HA6H7Ny500AoFMrt7e2lgPIcXWRkpDA9PZ3N5XKJubm57LPPPssPCQlxCw0NtZk7d26Rnp6eIiEhgXv06FH9Xbt2ZXbla75+/TovMTGR//vvv2cEBATUN30uNDS0ZMGCBXZlZWVZYrH4seOHsLCwwp07dxqPHj3a4YsvvnhgaGgov3LlisDLy6uud+/edXZ2dvV79uwx7NOnT011dTVr8eLFVmw2u83tnE9C4+XAh3Xw2vvq6j0PUwBwAbxOCNlHCAknhHwOYBeANxmGaYx0VwK4DWAyIeQsIWQHlMFfbwBvdPGcKIqiKIrSkFwhx55Lv0DI1UdvtxEd9p8W8m/42AVjzbFFWLhlNL7d/w7kCjnmjVoJba32P+CmZ7ueXJ2kBolZ12Fn4v7M7nk78xoyi+5itP9bzdolMuX77sZzlwRd/t6XgrIenlQqZQwMDGTdunVTrZ4NGTKkur6+nhEKhfK+ffs2O2+2b9++jClTppR88cUXVj4+Pp4TJkxwvnz5ssjBwUECACKRSL569WrTvn37uvfq1cvj9u3b/IMHD94TiUQKAFi2bFleXl4ex83NzcvCwsIHAHr27Fl36tSp5OzsbJ1hw4a5BQQEeCxdutTSxMSk2U7BrvDf//7XyNbWtqFnz56tDvVOnjy5ghCC33//XaMyC+2xt7eXnj179q5UKmVGjBjh2rNnT48NGzaYNAZxmzdvzqipqWEFBwd7TJs2zWHGjBnFlpaWko6u21nP65p34w+1okV7xcPn5AzDWAIIALCw6UodIeQMwzC5AF4HsPdZTJaiKIqiqOb2XV6DtIJEzB6+HHwdUYf9j0ZvRXTqObzW633YGruhtLoAf8fsxPoTn+Kjsaugo6bmGj3bpRSXFgEAyCq+BwC4kxUFIU8PQq4+nJXvp3E2fh8Ky7PhbOELPYEhSqsKcO7WflTWljY/mwfgq93TYSA0xfwxP6raHpRlIL9MubAikTWgtLpAdV8ncx+NgmmpTIL9V9bitV4fqLbhmupbQyw0wf4rvyLYfTQu3TkKA6GpRsXXnzdzNwyM+afn0BEnJycpIaTVPPX09BQymSy2rTE6Ojpk1apVeatWrcpr6/mFCxcWL1y4sN392IMGDapJTk6+07K9X79+tZcuXbrX3rioqKjkttrbmn9ubm5Ce9fZtm1bNoDstp7T1dVV1NXVxTU+Pn/+fKom93N1dZW0bPf396+PiIhoNR4AgoKC6m7dunW3advcuXO7LHtmI40DPIZhGACzAcwFYA/AkxCSxjDMJwDSCCH7unBeOwGEAfgvwzCLAZQAGABgJoCfCCEKhmE8H/a93cb4BACebbRTFEVR/xB6rvXVcfj6ZkQmHcf0AUvgbu3fYf8HpRk4c3M3QvsvRG+3kap2O1N3LNszE5F3T2CA1+tqr0HPdgG/n1nW7PHey8qEKU7mPvho7CoAgKmeFW6lX0Z8xmXUSWrAZfPhYOaJqf0Xwc6kWd4J1dnIpmLvR+DvmB2qx/fy4nEvLx4AMH/MTxDxfDuc56k4ZZmNAOdBqjZtLTbeHbIU+y6vwcZTX8JcbIt3h36ldvWWoqi2deZftgUAFkN5xu27Ju25UBY677IAjxCSxTBMLyjP1jXN2rmcEPLFw/82fPhnW1FvKYA2N+wzDKMPoOXHSy/ex0MURVEU9Rw6GfsHztzcjYnB8xDoMkSjMbmlyl/1tsauzdpN9KzA4wiRX5bVqTm8qme71r5/rsM+Xna94WXXW6PrLZu6q1XbKP+ZGOU/s9Nza6q9jKq2Jm7494T1T3RtiqI6VwfvAwD/IoSsBtC06F8sgG5dOSmGYWwBHAVQBOA1KFfvvgKwkGGYr1t0b29zdnvtHwFIb/F16QmnTFEURVGvvAsJB3EsegvGBMxCiOdrGo/T5SuPvWQWNtu5hILybNRJqqEv0KhEFQB6touiKKozK3i2aHs7pBRA+xvjH893AEQAuhNCGg9CXlDuEsWXDMP8DuW2TeDRSl5TBmh7ZQ8AfgGwrUWbFWiQR1EvjbLqIpy5uQdZRcnILU2DVNaA/wtVbglqSSqT4Fj0VkSnnkVdQzUsDR0xvud7nU6pnpafiJ8PLwABwep/ne6w3tbdnBj8GbkO5TXFcLXsgdB+YRBwdVXP10lq8PXetzCx9zz0cOzfqblQVFfT5GzXjdRwHIhcDw/rALhYdkd6waOjNlwOH+ZiO9Xjlme7nMy8YGnoiIPXfkNtQzVsjF1QWl2IU7F/gMcRoKfLUI3m+bKf7aIoitJEZwK8NCi3PbZMWToSQKsDk0+oO4A7TYK7RjegXHV0w6Ng0xPA6RYpIKZqAAAgAElEQVT9vKAss9DKw/p4zWrkPQwcn5mBF+Y+0/s9X5L+6QlQr4CiylzEpV2AtZELHM282i3MDAB/RPyIxKxrGN/rfRiJzHEx8TDWnViCheN/hZWRk0b3k8tl2H3pZ4j4YlTWdnxWurahCr+f+T/0dBkKD+tAHLq+EQev/hfTByxR9TkevRUWBg40uKOeC5qc7UrKjgYBwZ3saNzJjm7Wv2k/oPXZLhZLCx+O/gGn43bhStJxHL+xDQKuHhxMu2FUwFswEJlqNE96touiKKpzAd6PANYyDMOHslJKEMMw06E8lzeri+eVB2UtOz4hpGmK1qCHf+YSQnIYhrkBYCrDML80ZtJkGGYQAEsAXVp4naKoF4eTuTdWzDgAAIhMOt5ugJdTch83Us9hav9/I8htuHKshQ++3TcLx25swwfDv9Hofmfj9wKEoJfrcJyOa31mpaW0/EQQQjAhaDZYLC3USqpxIHLdo3kVpyLy7t/4dOJGje5PUU+bJme7pg9Y0uxDCnXaOtsl5OphQtBsTAia3en5NaJnuyiKojoR4BFCtjIMow1gOQA+lJkucwHMJ4R0dTmCNQAOATjFMMwvUJZHCIEymDxLCGlMgboEytW73QzDbMSjQufXAezv4jk9dRHV1dhcWoI79fVgMQzs2BwsNDZGL4FA7TiP5Lttth+wtYM7l6t27NbSEuwoK4OMELymp4ePjIzBarKiGV9Xh3eys3HY3h6W7Ff700667e/FwWI0O16ckBEJLZY2/BxDVG1aLC34OQ7AmZt7IJVLwNbiqL1GUUUeTsXtwpwRK5CcF6e2byO5QgYtLW2wHv48dbS5kMqV1WEIIdh7eTUG+UyCsZ6lRtejKIqiKIpq1JkkKyCEbCKE2AIwAWBGCLEmhPze1ZMihPwFYAiABgDrARyGMtnK1wDGN+kXDmA0ADsAxwGsevjnCEKIvKvn9TTtLS/Dh7k56Mbl4ldLK/xsYYFhIhHqiWaHwMfr6mG3jW2zLzuO+jem12pq8HNREWYbGuETE1PsLi/H4cpHpQflhGBZQT7eMzR85YM74NG2P76OCI5mXmr7/hHxIyLvHsco/7fwwfBvocc3xLoTS5BT3GZZlDY13fanicZtf26WPTBr0OcorMjBwav/bdaHbvtr7kFZBgxFZuCwm38QYm5gB5lCiuKKNkv9NLP38i/wdejbqeDd2sgZdZIaXEs+ier6Cly6c0RVYPhq8t+oqivHUN83O/diKIqiKIqi8JiFzgkh7RYx7CqEkLMAzmrQ7ySAk097Pk9TrlSC7woLscjYBDMMDFTtfQRCja9hqq0NH17nct1cqqlBkECASfrKqhHRtbW4VFOD1/SUj3eXl6GBELzdZE6vMrrt7+VT21DVZgHmxraahkq146NSziCrKAVfTN7aqfsaiEwxvud72BXxExREAUORGT4Y8S1q6itx5PpmzBjwCdja6j+goSiKoiiKaktnCp2LoSxVMADKFbxmq3+EEJMundkr5GBFBVgAJuu3LM/3dEkJAbfJdkwei0GRXLliWCyTYW1xMVZbWoL9jJPQPK/otr+XD2lnhVyT9Ok19ZU4dG0DxgS+AxFPs1XWpgZ6T0SQ2whU1pbCWNcCLJYWdkWsgrOFDzxsApGcG4dDVzegpCofdibueLPfxxonmqAoiqKo50VYWJjF0aNHxffu3Utsr8+MGTNs7t69y4uKikp+lnN7WXVmBW8HlPXutgMoQPt15qhOiq2rgz2HgxNVldhQUoI8qRQWbDZmig0QKtbsjeOe8jJsKSuFFgAfHg9zDY3gz+erHePN42JZQQXu1NdDwGLhVFUVpugr7/dDUSH6CYToyVd//o9qTZNtfx0V12267U/TAK/ptj9P2yC67U8DAh1dlFUXtmqva6hWPd+eY9FbIeKJ0cOhP2of9pfJJcrxkmqwtTjQYatfVedxBOBxlH/HMgqSEJt2AZ9P+h3VdRXYdHopJvaegx4OIdgfuRbbw5fj43GrH+dlUhRFUc/QT5NH+z3L+y3ceyymM/1XrlxpvHTpUquysrKbXC6XAEB9fT0jFot9ra2tG1JSUlTZ8RMSEnS8vb09Dx8+nDJ27Niqrp479XR0JsALAdCfEBL7lObyyiqUyVAok+HHoiJ8ZGQMazYbp6qq8E1hAeQgmC5Wv0VyjK4uQgRCGGtrI08qxdayUszKzsJma2sEqgnQRoh0ca66GhMzMwAAPfl8TBOLEV1bi4jqahyzd+jKl/nKoNv+XhzmBraIz7gMibS+WUD+oCwT2iw2jPQs2h37oCwTeaXpWLK9dTHnT7ZPgLddb7w37GuN5qEgCuy9vBoj/KZDX2CMhIxIsBgWerkqt/iGeE7Aij//hQZpXYdB44vkWSQuSsm7iTVHF7b7/MLxv8Le1KPd52niIoqiXjbDhw+vXLJkCSsiIkIwbNiwagC4cOGCQCgUyjMyMrh5eXnaFhYWMgA4ffq0iMPhkMGDB1d39j5yubzdnTLU09WZAO8+OpmUhdKMghDUKBRYbmGJISJlENBLIECuTIqNJSWYpi9WW6vve/Pmb0IHiYQYm56ONcXF+J9N+wGeFsPgZwtLFMqkkBLAks2GlBB8XZCP+UbGMNLWxs6yUuwsK0OtQoHBQhE+MTEBl0X/N1CHbvt7cXjZ9sbxG9sRmxaBXq7DAAByhRyx9y/AzcpP7Vbaib3noFbS/Pfd9eRTuJ5yGh+O+kHj5DgAcCnxCOQKGUI8J6ja5AoZ5Ao5tFhaaJAqS4K+bL8on0W9QmsjZywc/2ub16ttqIKtsWu7Y2m9QoqiXkbe3t4NxsbG0rNnz4oaA7yzZ8+KgoODq7KysnROnjwpmjVrVhkAXLhwQeTr61vN5/NJUVGR1vvvv2999uxZfYlEwurRo0f1mjVrsvz9/esBYM2aNYaffPKJzdatW9M+//xzq/T0dO7Vq1dbbcuUyWSYM2eO1Z49e4wAYOLEiSVy+QuVG/G515l36gsArGAYxodhGPW52qlO0ddSfjt7C5pvqQzmC1Ail6NILuvU9QQsLfQXCpFQX69RfxNttipL5o6yUugwLEzR10dkTQ3WFBdjtYUljtjZI6G+DhtLSzo1l1eRQEcXtQ2tdzE8zra/2obqZtv+Gt/oq8PjCGCqbw0WS0u17e/13nNU2/5CvF7Dt9P2Ql9ohO3hyx/zVT7/4tIiEJcWgaziewCAO1lRiEuLwL28eFUfKyMn9HAMwYHI9YhMOo7knFhsPfs1SqoeYJT/zGbX+2r3dKw5uqjZWBcL32ZfBg9XnpwsfGBhYK/RPCtrS3H8xjZM7vuRqgyG3cMVpT+vrEVSzg0cvr4J9qYe4HLUb7t+0TQmLpozcgV6OPRrt19j4qIJQXMQ7D4KrlY9MGvIlxALTXDsxja19+BxBLA39Wj2pcc3REFZFgKcBqvOrLalaeIiD5tADOseijvZUY/m9TBx0eQ+8zv92imKov5JQUFBVZcuXVJtN7p06ZKof//+VcHBwVXh4eGq9uvXr4v69u1bBQBTpkyxi4uLE+zduzf14sWLSVwuVzF69GiX6upq1SqERCJhfffdd+br1q3LiI2Nve3k5CRpee+vvvrKdPfu3UarVq3KjIiIuCuXy3H48GHDp/2aXyWdWcFLBcADEAug1YoSIYQGfY/JSUcH8W0EY42f1TPofJITQtDpUflSKX4rKcHvVtZgMQwu1VSjN5+vqqX3mp4ejlRWYr6Rcafn8yqh2/6eD7+fWdbs8d7LyvNrTuY++GjsKlX7tJDFOBr1O45Gb0WdRLn1b87I72Bt7NJsvEIhh4Iounyef13bCG+7YDiaearaRDx9vDP4Sxy69huup5yGnYkbpvVb3OX3/qc9y8RFTUXdOwMCgp6uQ9X2o4mLKIp6WYWEhFR9+umnNnV1dQwhBPHx8cItW7ZkJicnSxYtWmQNAHFxcdyioiL2kCFDqhISEnTCw8P1T5w4kTxixIhqANi/f3+6nZ2d18aNGw3DwsKKAeW2zDVr1mT17du3tr17b9y40XTOnDn57777bhkAbNmyJTsiIkLvWbzuV0VnArzdAPQAzAdNstKlBgtFOFBRgcs1NRgmerS6c6WmBmba2jDW7lw1i2q5HBE11fDuoMh5S98VFmK0ri68mpRbqFM8+jHXKghesh1iTwXd9vd8WPv/7N13eBzV1cDh393e1LvkXjC4EppNjTEQaqgJodeQ0EJPAiSAP1oCoRNqQu+B0B2aMRCDMR2CMWBsI1u2el2ttH3u98eqW9qiYlvSeZ9Hj+XZmdkrr7U7Z+655/z27aT2s1nsHLXb2Ry129lx97v6+MStKg7e6eRNZv4SOWnBpb1unz5uF6aP2yWlc41Ug1G4qKuPVr3J2NypCWdZpXCREGKk2n///b0XXXSRevvttz1aazIzMyMzZswIjh07NlxWVmZfv3695c0330xzOBzG/PnzW5577rl0k8nEggULWtrPkZOTE91mm238K1eu7HhzNpvNetddd+0zuKurqzPX1NRYd99995Yux7D99tu3lJeXS6GAQZJK5LATsIvWesVQDWa02svtZq7LxcLKShqiUcZabbzZ7OWD1hauK+wsNrAxHOaAtWs4KyeXs3NzAXiwvo7SUIhdXC7yLRbKwxEeqq+nNhLhxqK+Z4p6er/Fx2f+VhZ1Kayyq8vN4w0NPNXQQJ7FwhMNDRyeMbpvsHyx9j2Abml/HmcGHkcmU4vnAN3T/gwjQk5aEUtXvkxdcwWnLLis2/kWPnUi2Z4Czvv5TR3H9tSeUjileE5HCl8i7Wl/vz3g2l7T/mZP3J3XP3t8RKb9iZFnoIWLulpb+Q01TRv5xW7nJNxXChcJIUaq6dOnh4qLi0NLlixJ01ozb968ZoD09HRjxowZra+//nraf//737Qdd9zRZ7fbtda6z8Swrll9NptNW1KcmBCDL5VXYCXQ9+Ih0W9KKe4sLuHW2hruqq2lKRplks3OjUVFHJLeNaDSRAGjy+TpRJuNt5t9LPb58EWjuE0mdnC6uKawkNlJNj4PGQbXVlVxSV4+6ebOAGIvj4cLcvO4v74Ov2GwjyeNM3NGd4q0pP0JsfkNpHBRTx+tehOzycJOU/ZJan8pXCSEGKna1+FprTn++OM7iizsvvvuze+880768uXL084888wqgDlz5vgNw2DJkiXu9hTN+vp606pVq5wnnHBC0gUacnJyonl5eeFly5a529suGIbBl19+6c7Pzw8P9s84WqUS4P0ZuEUp9Wfga6Dbi6C1rh/MgY02HrOZKwoKuaJg0/Lg7UqsNlZO27bbtr09aezt2fTOdipsJhOvT5rc62On5+Rw+igP6rqStD8hNr+B9CvsKhwN8cXa95gxbi4eZ/LZCNKvUAgxEs2fP7/5oosuygZ45JFHStu377333s2nnHLK5JaWFtO+++7rBZg1a1Zwn332aTznnHPG33333euys7Ojl156aYnb7TbOOOOMlCrwnXHGGdV33HFH4bRp04I77LBD62233ZZfW1trlQBv8KRSRfM/wC7Am0A5UNP2Vdv2pxBCCDHoirLHU9dcSSjcvRhVMoWLuvq69ENag83M3SZ+cZW+9Cxc9GPVNx2Fi2xWB/NnHsmayhVJVbsVQogt7YADDvCGw2GVnZ0dmTFjRrB9+3777ecLBALK4/FEuxZLeeqpp0q33377lqOPPnrKXnvttV0gEDC9+uqrqzweT0rpFAsXLqw8+uij684777zxe+yxx3aGYXDYYYdJmfZBlMoM3t5DNgohhBCiDwMpXNTVR6vewO1IZ+a4ef0ax2gvXCSESM7Fz7z62ZYeQzKmTJkS1lpvMtaMjAwjEol83nN7Xl5e9Pnnny/t63znnXde3XnnnbdJoHbLLbeU33LLLeXtf7darTzwwANlDzzwQNkAhi/iSDrA01q/N5QDEUIIMfoMdeGids3+Br7d8Cl7Tj8Uszn1AgBSuEhsbRa8m7hQ0Mj27ZYegBBbrZQ+5ZRSLmB7IJ8e6Z1a6+cHcVxCCCFGgc1VuOiTH97GMKL9Ts+UwkVCCCGGi6QDPKXUvsR64fVWcUMD0uhcCCFESjZX4aIFs3/Bgtm/SHl87UZT4SKZGZKZISHE8JZKkZXbgUXAGK21qceXBHdCCCGEEEIIsYWlkqI5AThUa12eaEchhBBCCCGEEJtfKjN4HwDThmogQgghhBBCDDOGYRhqSw9CjC5t/+eifT0edwZPKbVDl7/eC9yklCqm90bnm5RTFb07+rLUK7iNFF9v6QEIIYQQI9Tnra3cXVfLd8EgQa0ZZ7VyXFYWR2VkpnSeRV4vv68op8Bi4Z3JUxLu/6q3iTtra2mKRvlZWhqX5xfgMHXOIWwMhzn0x7U8OHYcc5zOlH+urdyKmpqa6Xl5eU0mk0l6pIghpbUmFApZy8vLPcD7fe2XKNL4lFgBla53Ju7v7fmQIisD1vxVMzWLagisC4ACW6GNwqML8Uz39HmM/0c/9e/W0/J9C+H6MBaPBdc2LgqOKsCWl7g3VO1rtdS+WYuOarL2zKLgqAKUqfPlbl3TSunfSply7RRsucn1mhJCCDGy9DdwKA2FeLKhgY9bWykLh3CbTMxyOPldbi7bOhwJn3eUBw4p+T4Q4PQNZcxxOPm/gkKcJhNvNDdzRWUlYUNzTFZWUufxRqP8tbqKXHNyl3WloRCXV1Rwbm4eU+w2rqmq4p/1dZybm9exz/XVVRySnjEiX6NIJPLrysrKf1ZWVs4ktcw4IfrDUEo1RaPROwzDuKevnRIFeBMHeVCiD/Xv1FP+eDk5++SQf2g+WmsC6wMYoU3LfXfV+FEjwY1BcvbLwVHiINwQpublGtYsXMPkqydjy+k7KPOt9FH5XCXFJxZjcpgof7gce6GdrD1jHwLa0JQ/Wk7eIXkS3ImtllT8k4p/YmgNJHD4oKWFj1tbOSwjnekOB81Rgwfq6zhm/TqeGDeeGXGCvNEeOKTqP83NRLXmrjFjcLcFwbu53XwfDPCStynpAO/mmmq2tTvIs5j5sLU14f7LWloYZ7Pxm5xYkfU1wRCLfc0dr9O7Ph9f+f28OnFSP3+yrduOO+5YDRy6pcchRFdxAzyt9brNNZDRLFQTouLJCgqPLiR3/9yO7Wmz0hIem3dQHpb07i+ja6qLVb9fRcN7DRQcWdDnsb7/+fDM8JA9PxuAlu9aaP66uSPAq3+7Hh3W5B6Q2+c5hBBCjGwDCRwOSkvjuMxMlOrMDJnrcrHf2jU81lDPX4uK+zx2tAcOqQprjVUpHKr7crB0k5kmo8+lOt183trKK14vL0yYyH11tUk/b9fndJoUIR3LVAwYBtdXV3FxXh6ZSc4ICiEGLumpZKXU0Uqpn3X5+5VKqQ1KqTeUUkVDM7zRoWFpAyjI3js75WN7BncAtlwb5jQz4YZwL0d00lGNydr5X8BkN6HDsTflSFOEqheqKDqxCGWRtcNCCDFaxQsc4ueYQJbF0i24A0gzmxlvs1EViSR8XgkckndERgYQm9WsjoTxRqM829jI8tYWTs5KfH0R1pqrqio5NTub8bbks3ZmOx18HwyyrKWF6kiYF5qamO2IzajeX19HvsXC4ekZ/fuhhBD9kkqu8ML2b9qKr1wO3AFYgZsHd1ijS+sPrdiL7DR91MT3v/+eFaetYNUfVlG3uK5f5wuUB4h6oziK469vcE5y4lvpw1/qJ1gVxPuJF9dkFwAVT1eQNicNz3Z9r/8TYmv3ns/HievXseOq79n5h1X8srSU5S0tCY/bEApxwcaNzP1hFTuu+p5T1q9nRcCf1HM+VF/H3mtWs+fqH7ilphpDd19z/5Xfz06rVrExHP8GjBBbi4EGDj01RqOsDgaZnCCIkMAhNVPtdh4eO44lPh/z16xh3uofuKaqkqsKCjkoPT3h8Q/U1xHSmt9k56T0vD9xujghK4tfbyhj/po1GMC5ubmUhkI8Ul/PVQWFmwT5QoihlUo5x/HA923fHwG8qLW+USn1JvDGoI9sFAk3hIk0Rqj8V2WsOEq+De8nXioer0AbmtyfJZ8iqaOa8kfKMaeZydorfr59xtwMvJ97WbNwDQDu7dzk7JcTS9X8qplt/rLNgH6u4U7Wdg3vtV3PNDZwXVUVx2VlcVZOLgaa7wJBAjp+kbPGaJQTytbjNplYWFCIw6R4pL6BU9aX8cz48Uy22/s8dnlLC7fW1PDngsLY8VWVTLTZOKKtEEVUa66uquQ3OTmUWK2D+vMKMVTaA4fzyjfyVGMjELt4SDZw6Om6qio0cGKC4LBr4AAwzW7vFjg8PX6CBA5dlIZCnF++kSk2O1cVFGJXiiU+H/9XVYnNpPh5nGB4XSjEfXV13FFSgt2Uep2QP+YX8JvsHJoNg7FWK0opLi8r45jMLKba7bzm9XJXXS11kQi7ut1cWVAoM69CDKFUArwA0L4obB/gwbbvm7psF/2hwQgYjP31WDJ2ir0Be6Z7CNWGqH21lpz9cpL+ECt/rJzW1a2Mv3A8Znf8N09lUow7ZxzhhjA6qrHl2tARTflj5RQcWYAlw0Ltm7XUvVWHETBI3zGdouOKMNmkSJTYum0Mh/hrdTWX5OVzUnbnReQe7sQz0k83NlAXifDIxEkdaUpzXW72X7uGv9fVcmtxSZ/HLm1pYVe3m6MzYwHdJ62tLG1p6QjwnmpsIKg1p2anPushxJYykMChp/vr6ljU7OWawsKk0gAlcEjebTU1WJXi7jFjsLZdM+zqdtMYjfKX6moOTkvH1Me1xPXVVcx1uZjjcOKNxtbrhXWsRLo3GsWmVLfqpb3Jslhov638erOXNaEgt5WUsCYY5NLKCu4pGcMcp4MLy8v5S3UVN8RZfymEGJhUrtSXAjcrpa4AdgL+07Z9G6BssAc2mpg9sQ8jz4zuF5+emR4i3giRxvjrFNpVPltJw3sNlJxWQtrM5GNua5a1o0pm7Zu1KKsie0E2vhU+qp+vZty545h63VT8P/qpeaUm6fMKsaU839SECfhVZmq9nyCWQjneZut28ekymdjR6eI9n49InBnA3tYMBdv2r41E+HttLVcUFHRcfAkxHHQNHOZ7POzqdvOnggL2T0vnL9WbpiH35enGBm6rreG83NyU+rJlWSyMs9lQSnUEDmfn5nYEDpfnF7B48mR8hsFfqqv6+2MOez+Egkyz2zd5f5ntdNAYjVIX7bvQyppgkP+2tDBv9Q8dX4uavVRHIsxb/QO31ib/2d9iGNxQXc1l+QW4TSY+bG1hqs3Gbm43bpOZYzMzeT+JVHkhRP+lMoN3LnAP8AvgTK11edv2A5EUzQFxlDjwr+llfU/7Z2YS14LVL1dTu6iWouOLyNo9uVLIPYXrw9S8UsOE309AmRTNXzfjmeHBOT625iFrjywalzVScFTflTlHspPXr+MTf+/rsPZwubl/7Ni4x99aU8M3AT/fBAI0GQbXFRZ2zOwkIr2gUvO5389Em43/NHu5t66O8nCYYquVk7OyOS5BqXCTUr0GYFalCGhNWTjERFvvaZqznQ6urmpiZSCAu62U/DGZsef7W001e7k9zHW5B/4DCrEZxQscFjV7qYtGybPEv5x4uamJa6qqOCUrmzNz+leZuT1wuLyXwAHg2MxM/lxZ2a9zjwS5ZjPfBYOEtMbW5bX6nz+AXSky4sxs3lxcQlB3L5nzz7p6vgkGuLW4mAJL8inld9XWso3dzn5pnTea/V1uArQaGukGLsTQSjrA01pvAH7ey/YLBnVEo1D6Duk0/LcB3wofGTt3prr4VviwZFuwZsZ/Y617q47q56vJPyqfnP1SWxzdVcWTFWTumolrkqtjmxE0un2vk7xTOxJdUVBIi9H9A/BLv58baqrZ25M49e+Jhga2ddiZ7/Hwkteb9PNKL6jUVUciVEci3FRTwwW5eYy1WnmjuZlrq6uIouOu/ZlotfFhSwuN0WhHqpehNV+3FVlpivZdN/DAtHTe9vn4xbpSIFYO/oSsLD5pbeU9n2/Ul3Mf3etah++a1oEEDgCLm5v5U2UFv8jI4A/5+f0ehwQO8R2XlcWF5eWcs2EDx2Rm4jCZeMfXzKJmLydnZXV77WZ9/x2HZWRwbWGsCHpvnx0vNjVhCyl2SeGm1A/BIM82NfL8+Akd2+a63Py1upq7a2uZ5XRwb10tu8uNLiGGVCozeGKIeOZ4cG/npvzhcqLNUaz5VryfePGt8FFyeud6n1BtiFV/WEX+YfnkHxb7kGxc3kjFkxV4ZnnwbOehdXVnU1KT04SjJH4lzXbNXzfTsqqlW2EVzwwPdW/VUfd2HdZMK3WL68jcI/WUt5FiSi/FNZ5tasSqFAcmUWjg46lTMSnFulAopQBPekGlztCaFsPg+uKSjovBeW43GyNh7q+r44TMrD7Xtf4qM5PHGxu4tKKcy/MLcJpM3FdX21H1Mt6Eulkpbi0uoToSJqyhxGolrDXXVFVyXm4euRYLjzXU81hDA62Gwb6eNC7Nz0+4tkWILWkggcOnra1cUlHONnY7h2dk8FWXLAirUkyP0+i8KwkcEts/LZ17S0w8UF/HlVWVBA3NWJuVK/ILOtYFt4tC0qm1qbimqpJTs7IZ2yXFfardzvWFRdxVV8tDDfXMc7m4bACBvhAisbgBnlLKC0zSWtcqpZqh75tjWuvUS2kJAJRSjDtvHFXPVlH1YhVGi4GtyMaY344hc9cub8oaMEAbnS+D72sf6Nifvq993c7rmuZi0mWJL/qNsEHF4xUU/qqwW2GWtNlpFPyigJpXa9AhTdoOaeT/XN6U2wUMgzeam9nb7UlqUX9fi9sTkV5Qqcs0m1kXDrOb29Vt++4uN++3tFATjZDfR8rRWJuNG4uKuKaqigN+XAvAdLudk7KyeaihPmEqGtDt3I821GNXJo7JzGRZSwt31Nby6NhxFFgsnLGhjPvr6zivy2ysEFubgQQOy1tbCGnNt8Egx69f323fYuiiTKIAACAASURBVIuFxZOnJDUGCRySs5fHw15JZJSsnLZtwn2u70cRlEfHje91+6EZGRyaIS0thNhcEl2p/A5obvv+3CEey6hmdpopPqmY4pP6fkO15dmY+fDMbtvGnDGGMWeMGdBzm6wmtrmh95YIeQflkXeQXHz25i1fMy2GwWEZQ3tvY7bTwU011SxraWGK3Sa9oJIwxW7nq0Bgk+2dy1rjB9s/S0tnH08apaEQVqUYZ7Pxf5WVFFosFKfQ3qAyHOa+ujoeGDMWk1IsbfGxm8vFdm2zFkdkZPCy1ysBntjq9TdwODc3r1s6eX9J4CCEEMmLG+BprR8BUEpZgBrgI611/7pvCzHCvNzkJcdsZs8kSu8PhPSCSt2+njT+3dTE+y0t7J/WGYB/0NJCocWS1CycWamOnnfVkTCvNXs5LcUGwH+truaQ9HRmdVnf4jd6rBkaxYuGBlq4qKv76+q4rbaGHZxOHu8jGOjqofo6Hm1oIKI1R2RkcEFuXrdZ9q/8fk4vK+OliROlZ6EQQohhJak1eFrriFLqeWBbQAI8MepVR8J82NrCiVlZWDZDcCW9oFKzl9vNXJeLhZWVNESjjLXaeLPZywetLVxXWNix38ZwmAPWruGsnFzOzo1V9gtrzc011ezkdOExmVgdCvKPunqm2O2ckkL/uvdbfHzmb2VRl7WRu7rcPN7QwFMNDeRZLDzR0MDho3j2YaCFi9qVhULcV1dLTpL/56UhvRBCiJEslSIrXwFTgNKhGYoQw8crTV4M4LDNmBopTWSTp5TizuISbq2t4a629hKTbHZuLCrikG6vmY6tGeqyvFgB60IhFnm9eA2DQouFIzMy+E1OTrdiEvGEDINrq6q4JC+f9C5Bx14eDxfk5nF/fR1+w2AfTxpn5vS/8u1wN9DCRe2uropVkS0NBem701cnaUgvhBBiJEslwFtIrNH5VcBnQLculVrr+kEclxBbtZe8TUyz29k2yQpwg0l6QSXHYzZzRUEhVxQU9rlPidW2yZohi1LcMyb51MDe2EwmXp80udfHTs/J4fRRHNTFk2rhIoj1iFwZDPC34mLO37ghqWN6K1xUE+3ekP72khJpSC+EEGJYSqU29yJgFvA8sVm8mrav2rY/hRgVVgT8rA6FtlhhE+kFJUaqVAsXNUWj3FBdnXIV2dlOBx+2trIyEGBdKMQbzc3MaStcJA3phRBCDHepzODtPWSjEGIYeanJiwU4uI8Ust7WdUEsDaw+GqE2Eksi+yYQwGWK9cPrWggkHukFJUayVAsX3VRTzXibjSNSvNkiDemFEEKMZEkHeFrr94ZyIEIMB2Gt+U+zlz3cbnL7rMS46bougL/X1nSrGPhkYyNPNjYCsHJacgGe9IISI1WqhYs+bW3lpaYm/j1hYspVZKUhvRBCiJEs6QBPKbVDvMe11p8PfDijw9c/rk+8k9gqWZXigylT4+7T27ougEeSKN2eiPSCEiNVqoWLFlZVclRGJgUWC95obFY8SqwCpjcaxaEUtgQBmTSkF0IIMRKlkqL5KbE+wV1vlXadohi9NdmFEEIMSKqFi9aGQqwNhXimqXGTx+at/oFL8/I5KckqmNKQXgghxEiSSoA3scffrcBPgD8Blw3aiIQQQowq7YWL/piXfGrxw700Qf9LdTWGhj8V5DPOauvlqN5JQ3ohhBAjSSpr8Nb1snm1UqoJuAp4bdBGJYQQYtToT+GiXXopJJRuMhHt47G+SEN6MVwdfVkq9+hHnq+39ACE2IoNxrvDj8D2g3AeIYQQo8xAChcNlDSk750EDkIIMbylUmSl52IGBRQRa4D+/SCOSQghxCgxkMJFPaVayEga0gshhBiJUrlNVwub3D5VQBnwq0EbkRBCpEBmG4QQQgghOg2k0bkB1ACrtdaRwRuSEEIIIYQQQoj+kEbnQiTp49YWTikr22R7msnER1O3SXh80DC4o7aWV7xNNBsG29rtXJyXz04uV8JjH6qv49GGBiJac0RGBhfk5mHq0tz5K7+f08vKeGniREqs1jhnEkIIIYQQI1lKuU1KqQLgHGA6sXTNlcDdWuuqIRibEFtUz9Q/37dmuAGKji/CObGznLoyK46emPhXqezeMpo3NFN4YiFF+TZ+fLuek/9XxqQ/T8I53tnncb6VPkpvrqH4xGKsDhMPPlzOa3s6ydozCwBtaNb8XxUZR+Vx4SF9nydVkvonhBDDS8sPLVS/WE1gfQAd1tgKbOTsk0PWXlkJj/3+4u8J14U32T7ud+NI37H3CrftGj9spOr5KoxWg/Qd0yk6oQiTzdTxeKg2xOo/rWbCHybgmpz4pqYQYmBSKbKyO/A6UAV82Lb5eOBCpdT+WusP+zxYiBHEXmzHNSW1Dyj/ej9Ny5soOb2kIzBzT3Pzw59+oPqFasZf0HdxCN//fHhmeMieH6tz1PJdC81fN3ecp/7tenRYk3tAbj9/IiGEiE8Ch61foCxA6Y2luCa7KDm1BJPNRNOnTWx8cCNGxCBnQeKiQZ6ZHvIP796P0l5kj3tMsDLIhn9uoOCIAuwldsofLceyyELBEQUd+1Q8UUHGrhmj/jUSYnNJZQbvJuAp4EyttQGglDIB9wI3A7sN/vCEGBmav2hGmRUZu3T20lJmRcbcDGoX1WKEDUxWU6/H6qju9pjJbiLSFFv2GmmKUPVCFeN+Nw5lUb0eP1r194I06o+y8cGNBNYFCDeGUWaFvchOzr45ZO6WmfB5a1+rpfbNWnRUk7VnFgVHFaBMna9N65pWSv9WypRrp2DLTb4ZtxBbigQOw0PjR41gwLgLxmF2xNp+eGZ6CKwP0PhBY1KvkznNnPINTN8KH/YCO3mH5AEQ3BjE+7m343XyfumldXUrU/8Sv1quEGLwpBLgbQ+c0h7cAWitDaXULcAXgz4yIbZSZfeVEW2OYnaZ8czyUPDLAmw58S/UgxuDWPOsmOzdgzhHiQMd0YSqQzhKHL0e65zkpOH9BvylfkxOE95PvGQviM3mVTxdQdqcNDzbeQbnhxshBnJBqqMaZVbkHpyLLc+GDmuaPm5iw/0biDRHyN2/75lS30oflc9VUnxiMSaHifKHy7EX2rul05Y/Wk7eIXkS3IlhQwKH4UFHNJjpNsMJYHaZibZGh+55oxpl7byJZbKb0OFY0XUjZFDxRAWFRxdi8YzuisdCbE6p/LY1ARPZtOfdRKBx0EYkxFbK7DKTc0AO7mluzE4z/nV+al6toeW7FqZcPQVLet+/TpGWCGaXeZPtZndsW9TX94dvxtwMvJ97WbNwDQDu7dzk7JcTS9X8qplt/pK4wMtoM5ALUovHwtgzx3bbljYnjWBlkIalDfEDPEmnFSOQBA7DQ9YeWdQvqafi8Qryfp4Xu7H1SRO+b32MOWNMUudo/rKZb37zDRjgGOcg7+C8hGm0rkkuKp+pjAXkJXYa3m/AOTm2HrzmlRqsWVYy90ic/SCEGDypvCs+DTyglPoDsIxYkZU9gL8SS90UYkRzjnd2K4bi3taNe5qbNVevoe6tOgqOKohzNLGukT317CzZ22EmxbhzxhFuCKOjGluuDR3RlD9WTsGRBVgyLNS+WUvdW3UYgbZ1KscVbXIxNpoMxQWpxWMhHNl0HVG355V0WjECSeAwPDjGOJh46UTW37me+iX1QGwpQPFJxWTOS/zvlLZ9Gs5JTmy5NiLeCHWL61h/53rG/GZM3PR011QXOfvlUHpTaWwcYx3kH55PsDJI3Zt1TLpiEkrJe54Qm1MqAd4fiF2iPtjluDBwD3DpII9LiGHBOcGJvdCO/0d/3P3MbnOvRQbagw2zZ9PZvZ6sWZ3tD2rfrEVZFdkLsvGt8FH9fDUTL5uINctK6c2l1LxSkzjgHMEG44JUaw1GbE2e91MvzSuaKTmtJO4xkk4b32huSj+cq9JK4DA8BCuDlP29DEeJg+yTszHZTHg/91L+aDkmqynhGuLiE4u7/T19x3TWXrOWyucqEx5bdGwReYfkEfVHseXZUEpRelMp2Xtn4xjjoOmjJqpfrCbijeCe4ab4pGKZeRViCKXSBy8EnK+UugyYTCzYW621bh2qwQkxLCQxC+cocdD8WTNG0Oi2Di+wMYCyKGz5ya/HCteHqXmlhgm/n4AyKZq/bsYzw9Mxu5i1RxaNyxpHdYA30AtSiKVTVjxe0XFs0XFFZO0ev0CLpNOKkUgCh+Gh6rkqMMP4C8Z3ZAl4pnuI+qJUPFlBxryMbgWfElEmRfrO6VT9q4pwYxhrZvweq5Y0C5a02L9908dNBMoDjD13LIHyABv+sYHxF47HOclJ2d1lVDxRwdjfjo17PiFE/6X8LtgW0A3nm5FCDBr/j36ClUHSd4mfapS2fRrVL1TT9EkTWXu0FdyIarwfe/HM8PRZQbM3FU9WkLlrJq5JnQULjKDR7Xutk4g6R7CBXpACZOwSq8wXaY7Q/GUzFY9XoEyK7L2z+zxG0mnFSCSBw/AQ2BDAOc65SQq4c5KTpuVNRLyRhP/Wm+jHR0k0EKXiqQqKji/C7DDT+E0j9hI7nhmx7IXsBdlsfHBj6icWQiQtlT54DuB8YB8gH+h2RaK1nj24QwOl1HzgcmAXwAaUArdpre/vss9xwB+BaUAt8DiwUGsdGOzxiNGt7N4ybHk2HOMdmF1mAusC1CyKrQPJ2bezaEeoNsSqP6wi/7B88g+LlQV3jneSsUsGFU9WxC7882zUL6knVBNizG+TSxkEaP66mZZVLd1mgjwzPNS9VUfd23VYM63ULa4b9etSBuOC1JJu6SickzY7DSNoUPlMJVl7ZiVcQyfptGIkkcBheLBkWPCv92NEDEyWzks0/1o/yqqSWgrQlY5qmj5pwppjTen1rX6xGsdYBxk7dbYF6nkTsj+vvxAieanM4N0NHAE8S2eRlSGjlDoZeAD4B3ALsfV+2xIL9Nr3OQF4jNg6wAuA7YAbgAnAMUM5PjH6OMY4aFzeSN3iOoyQgSXDQvqO6eQfkd9xdxmI/WYYsZL4XZX8uoSqf1dR/e9qoq1RHOMcjL94PM4JTpJhhA0qHq+g8FeFHdU3IRZ8FPyigJpXa9AhTdoOaeT/PD/OmUa+obggdU500vhBY+zY7OSOlXRaMRJI4DA85OybQ9ldZay/bT3ZC7JRNkXzF800LW8iZ/+cbq/ditNWkLl7JmNOj91gbFzeSPPnzXjmeLBmW4k0RahfUk+gNMCYM5O/CRnYGKDh3QamXD2lY5t7upuKJyuofqka50QnNS/X4Jk5etciC7E5pBLgHQ78Umu9eKgG004pNZZY0Ha51vrGLg+93WUfM/A34GWt9dltm99RSoWB+5VSt2qtPxrqsYrRI++QvI5+TPHY8mzMfHjmJttNNhNFxxZRdGxRv57fZDWxzQ29r+HKOyiPvIMSj220GOwLUoi1PDA5TJjTkz9W0mnFSCCBw/CQsXMGpotM1CyqYeNDG9HhWLZI0YlFm6aWG21fbWy5NiLNESqfqSTaEsVkM+Gc6GT8xeNJm5WW9BjKHy0n98DcbuvKHSUOSn5dQvWL1dS+Vot7upui4/r3OSiESE4qAV4rUDZUA+nh9LY/74yzzzygEHikx/YngLuAowAJ8IQYhQZyQVr/Tj2ta1rxTG+7IPVF8H7sxfupl4JfFnQ7Nh5Jp01Oyw8tVL9YTWB9IHZBWmAjZ58csvaKX9AGoPb1Wlq+bcFf6ifSFCHvsLyOJtiJ+L7xUfFEBeGGMJ7pHopP7V6cI+qP8sOlP1B0fBEZu2TEOdPIJ4HD8JE2O4202Yn/XXvehHRNcTHxjxMH/PyTLpvU6/as3bMSFqkSQgyeVAK8G4GLlFJnaa2NhHsPzF7At8CRSqkrgSlABbH1dVe2VfRsf3da0fVArXWrUmpNl8eFEKPMQC5IHWMceL/wdlyQmj1m7MV2xl8wnrTtk7sglXTa5ATKApTeWIprsouSU0ti7Sw+bWLjgxsxIkbchvQADe81YHKaSN8hnfp36pN+3mhLlPV/X0/WHll4Znmo/FcllU9VdmuhUf18WzrgKA/u2kngIIQQw0cqAd5+wJ7AAUqplcTWxHXQWh86iOMqbvu6E7gC+AZYAFwGjAWOB9o/+Xv7VK/v8ng3SqlMoOct8+TzRIQQw0K/L0inuphw0YQBPbek0yan8aNGMGDcBeMwO2KBsGemh8D6AI0fNCYM8KZcNwVlUuioTinAa/2hFTQUHluIMimirbHiO+386/w0/LeByVdP7t8PJoQQQmxBqQR4tcALQzWQHkxAGnCs1vrptm3vKqWcwCVKqau67NvXApa+tl8AXNXHY0IIITYTHdFgZpM2EWaXmWhrNOHxqZTm7/a8UY2yqI7jTXYTOhz7yNA61tYi54Ac7AX2fp1fCCGE2JKSCvCUUiZiBU3Wa619QzskAOqAqcAbPba/BlwC7NC2D8Rm6up67JcN/NjHuW8DHu6xbQywtJ9jFUII0Q9Ze2RRvyTWUD7v53mxFM1PmvB96+uWLjnYHOMdRP1RGpY2kPaTNOqX1OOaHCuE0/DfBqLeKHkHyyyrEEKI4SnZGTwNfAlMB1YP3XA6fE2siEpP7bdrDWJpmxBba7eqYwelXMBk4JXeTqy1bgQau51U9e8usBBCiP5zjHEw8dKJrL9zPfVLYimWyqwoPqmYzHlDV3zGlmuj8OhCNj60ER4Aa66V8ReOJ+KLUPVcFWPOGCPN54UQQgxbSQV4WmutlPoeyGPzBHjPA2cABxGritnuIGLB5ifARqASOLFt/3bHAtYe24RI2dc/rt/SQxBiRAtWBin7exmOEgfZJ2djspnwfu6l/NFyTFYTmbsNXZCXu38uWXtlEWmKYMu3oUyKjQ9txD3NTdrsNHwrfVQ+XUmoNoRrkoviU4qx5doSn1gIIYTYwlJZg/cH4G9KqXOBr/QQNm/SWr+ulHoNuEsplUtnkZXzgXu11usAlFKXAg8rpf4OPEdno/PntNbLh2p8QgghBq7quSoww/gLxnc0pfdM9xD1xYqeZMzL6Pc6u2SYnWbMzlhxl9Y1rTR93MTU66cSaY6w/s71FB0Xa5FQ8UQFG+7fwKTLe6/kKIQQQmxNUslB+RcwF/gMCCilvF2/hmBsvwT+SSyw/A9wNPBn4Nz2HbTWjxCbwfspsfV6fwbuBU4agvEIIYQYRIENAZzjnB3BXTvnJCdRX5SIN7JZxqENTfmj5eQflo81y0rr6laUSZG1ZxYmu4mc/XJoXdVKNJC48IsQQgixpaUyg3du4l0Gj9a6hVhBlUsS7Pc4sf54QgghhhFLhgX/ej9GxOjWQN6/1o+yKswec5yjB0/9knp0VJOzX2dbBh3VsWqbZoURbGuUOGR5K0IIIcTgSTrAa5stE0IIIQZFzr45lN1Vxvrb1pO9IBtlUzR/0UzT8iZy9s/pFvStOG0FmbtnMub0zuqa/h/9hGpDHYFXsDxI0ydNQKwPosmeOEkl0hSh+oVqxl0wDmWOzSS2V9SseKKC9B3SqX65GucUZ0c6pxBCCLE1S2UGD6VUAbGUyMnAFVrrWqXU7kC51rqvtgRCCCHEJjJ2zsB0kYmaRTVsfGgjOqyx5dkoOrGI7L2zu+9stH11Ube4jsYPOosiez/x4v0ktmJgm79tgy0vcVGUymcqSdshDfdUd8c2S7qFsWePpfKZSho/aMQ5yUnJr0v6/XMKIYQQm1PSAZ5SakfgbWL95WYQ64tXC+wHbAMcNxQDFEIIMXKlzU4jbXZawv1mPjxzk21jzhgz4H55Y37T+/HJjmskkgrCw4O8TkKIvqRSZOUm4Hat9U+AYJftbwC7D+qohBBCCCGEEEKkLJUUzR2B03vZXgEUDM5whBAiNXIXWwghhBCiUyozeH4gq5ft2wLVgzMcIYQQQgghhBD9lUqA9xJwlVLK3vZ3rZSaQKyx+L8HeVxCCCGEEEIIIVKUSoB3CZAN1AAu4H1gNdBIrMG4EEIIIYQQQogtKJU+eF5gD6XUAmAHYsHh51rrxUM1OCGEEEIIIYQQyUupDx6A1noJsGQIxiKEEEIIIYQQYgDiBnhKqSuTPZHW+uqBD0cIIYQQQgghRH8lmsH7ZY+/jye2/q687e/FQCtQCkiAJ4QQQgghhBBbUNwAT2s9q/17pdSpwEnAyVrr9W3bxgEPAU8M5SCFEEIIIYQQQiSWyhq8K4HD24M7AK31eqXUxcRaKDw42IMTQggxckhTeiGEEGLopdImoQBw9rLdAeQOznCEEEIIIYQQQvRXKgHeW8A/lFLzlFLmtq95wH1tjwkhhBBCCCGE2IJSCfB+DZQBy4BA29cHwEbgjMEfmhBCCCGEEEKIVKTS6LwGOEgptQ2wLaCAb7XWq4ZqcEIIIYQQQgghktefRuerAAnqhBBCCCGEEGIrk1KAp5T6FbAPkE+P9E6t9aGDOC4hhBBCCCGEEClKOsBTSv0NuAB4h1ijcz1UgxJCCCGEEEIIkbpUZvBOAo7VWj83VIMRQgghhBBCCNF/qVTRNAFfDtVAhBBCCCGEEEIMTCoB3v3ACUM1ECGEEEIIIYQQA5NKimYmcJxSaj/gf0C464Na6/MGc2BCCCGEEEIIIVKTSoA3nc4UzW17PCYFV4QQQgghhBBiC0ul0fneQzmQ0eyN1RFu+CDIyhqDhoAmz6XYbayZhfPtTM8zd+z33MowT60I82l5lOoWzbgME0dua+HyPe2k2VVKz/mXpUEuXxJk97Fm3j/NnXD/m5cFuXV5iLABp21v5bp97JhU53N+tCHCvo+1suIsD+MzU8n8FUIIIYQQQgyWlBudi8FX79fsWGTm7J1t5LkU65sM/vpBiHn/bOHrLgHTTctCjMtQXL/AwZh0xReVURa+G+Sd0ijLTnd1C7jiWdtgcN3SIPnu5PZf8mOES98OctdBDtJsit++6mdarolTtrcBEDU0Zy0KcPkedgnuhBBCCCGE2IJS6YP3crzHpdF5/x07y8qxs6zdtu1SYmbbu1p4bmWYi3ezA/DKsU7y3J0B1E8nWMh2Kk5+McC7pVEWTEzu5TxrkZ/jZ1n5vs4gYiTe/7UfIuw3ycJvdowFdO+ti/Da6khHgHf3J2ECEbhkN1tSzy+EEEIIIYQYGqlMt9T1+PICE4G9gNrBH9roluOKza5ZOzM0uwV37XYuju2w0ZtEpAY8+XWYzysM/rKvI+mxhKLg7BJ/uq2KQCT2fZXP4Mp3A9x1kAOrObU0USGEEEIIIcTgSmUN3qm9bVdK3Qw0D9qIRrGooYlqWNdocOnbQQo9imNmWuMe8966KADbdVmr15cGv+bCNwLcuK+dbGfywdjcMWYeXhTi84oo6XbFsyvDnLVTbLbukreCHDzVyt5Jzh4KIYQQQgghhs5gXJXfB7wPLByEc41qc//ZwmcVsZm4KdkmlpzkIr+XWbt2G70GV74TZN9JZnYqThzg/f6tANvkmDhl+/hBY0+/mmHhxe8s7Hh/CwB7TzBz3lwb75VGeHVVmO/O8aR0PiGEEEIIIcTQGIwAb9ognEMAjx3hxBvUrG3Q3PRhkP0ea+X909xM6KVwiS+kOezpViwmeOgwZ8JzL10X4dGvwnz+WzcqyWIs7cwmxb9+6aK82SAchfGZJsJRzTn/CXDt3g4KPCZuXx7k9o9C+EJw5HYWbt3fgdMqKZtCCCGEEEJsTqkUWbmj5yagCDgQeHAwBzVatadZzh0DB061MOG2Zv76fpB7D+kewAUimkOfamVtg8F7p7gZk554KeVvXw1w+k+sjEk30RiItS2MGBDV0BjQOC1gt8QPyIrTOp/ntuUhHBY4a2crb62JcMU7Qf57qpuSNMX+j7dy/dIg1yxIfp2fEEIIIYQQYuBSmcGb1ePvBlADXIgEeIMu06GYkm1idX334inhqOaof/n5eGOUxSe5mFWQODUT4Ntag29rDe79LLzJY1k3NHPr/nYumGdP6lwbvAbXLg2y+EQ3JqV4fXWE/SZb2L4wNpZTt7fx6P9CXLMgqdMJIYQQQgghBok0Ot9KVfkMvqs1OL5L+wRDa45/3s/bayMsOs7FvDHJx+fvnOzaZNsFrweIarjzQAdTspMvqHrB6wGOn2Vl55LO4LIlpDu+94U0Wvd2pBBCCCGEEGIoSenDrcARz7SyQ6GZ2QUm0u2KVXUGty4PYTHBxV16y52zKMCzKyP8aU8bbhss3xDpeGxMuqkjVXNdo8HkO3xc+VM7V/40Nis3f8KmL3WmQxExen+sL2+sjrB0fZTvz+0srLLvJDO3fxTi7k9CFKcp7vw4lHIhFyGEEEIIIcTASYC3FZhXYuZfK8Pc/KFBKApjM0zMH2/msj1d3QqsvLY6FtBdtzTEdUtD3c5x1U9tLJwfW/Omia2tMwZ5Gi0Y0Zz7WoC/7Wcn09G5Xu/AqVau38fg+qVBWsOaw7e18ue9kkv3FEIIIYQQQgweCfC2An/cw84f90gcEJVekJbU+SZkmtBXpSfc791T3Emdr53dovjhd723RPjD7nb+sLsEdUIIIYQQQmxJyS+8EkIIIYQQQgixVYsb4CmlliilMtu+P0kpJVM0QgghhBBCCLGVSjSDtzvQXn7xISBjaIcjhBBCCCGEEKK/Eq3B+w64Xin1DrHG5kcrpby97ai1fnSwByeEEEIIIYQQInmJAryzgNuBw4gVZ/xr2589aUACPDGiPbcyzFMrwnxaHqW6RTMuw8SR21q4fE87afbOqqKnvOjnka82bSgPMC3HxHfn9l6opl1dq8HV74V4ZVWYCp+m0KM4eKqFq35qJ88df9J98doI578eYIPXYN9JFv7xcyfZzs6xeYOaaX/3cccBDn45Q1pZCCGEEEKMNHEDPK31MmBnAKWUAUzSWldvjoEJsbW5aVmIcRmK6xc4GJOu+KIyysJ3g7xTGmXZ6S5MKhZIXbGXnTN36h48lTZqjv23n0Onxb+norXm0Kf9rKozuHq+ne3yTKysMbjinSCfVRgsTfDhEAAAIABJREFUO82FUqrXYxv8ml/8q5WT59g4cKqF378V4KI3Ajx8uLNjnyuWBJldYJLgTgghhBBihEqlTcJEoGaoBiLE1u6VY53dZtB+OsFCtlNx8osB3i2NsmBi7NdpcraJydndZ9reWhME4OQ58QOrH+oNlpVFue8QB7/ZMdbkfv4EMCk4a1GAVXUG03LNvR67rCyCoeGW/e2YTYrGgJ3zXw90PP5lZZQHvgjx5ZnxZxCFEKKrZLMXShsNJt7u6/UcDX9M69Y/taeHvwxx6kuBPh+vuNhDoafvDIYnvw5zxTsBGvyao7azcseBDpzWzudb12gw424fb5/kYu6YkdkhKtnXqd3yDREWvhtk+YYoYQMmZZn40552jpkZ/3Pqlg9jNzY/LY9S6dPd+vAmIlkmQmweSb/Laa3XKaUKlFLnANOJpWWuBO7WWlcN1QCF2Fr0lh65c3Es2NroNeIe++j/wuxYZGJGfu/BWbtQNPZneo8P4/YLIyNO7/pQFGxmhdkU29dthUAkdoDWmrMXBbhkNxtTsqU7ihAieclmL7S7bA/bJtkKabb4z3HwVAsfnu7qtk1r+PlTfiZlqbjB3aq6KCe/6Ofq+XZm5Js4e1GAGz4Idgs6zns9wPGzrCM2uIPUXqdFq8Ic8Yyf42ZZefIoGzazYmVNtOMzI55/fB4m3Q6HT7Nw72e9L0fojWSZCLH5JP1Op5TaHXgdqAI+bNt8PHChUmp/rfWHfR4sxAj13rpYRLZdXt+B2wfrI6yuN7jjgMR3OGfkmdhrvJlr/htkSraJbXNjKZpXvxfkwCmWuM+zQ5GZpqDm4S9D/HwbC3d/GmLemNj+D34RprrF4NI9XH0eP5JsrjvZhtbc8H6I+z4LUenTTMs1ceVedo6anvjiRGYcxHCRbPZCu0lZJual+H82z23a5Cba0nUR6vya/5sfv0PTW2uiTM02cdmesf1W1hi88F2YhfNjj7+6KsyHZdGE65+Hu2Rfp+ag5tSXApy9s43bunwu7Tspudfsm7PdmJQiYuiUAjzJMhFi80nlHfgm4CngTK21AaCUMgH3AjcDuw3+8ITYem30Glz5TpB9J5nZqbjvwOvRr8JYTXDsrMS/bkop/nOcixNf8LPzP1o6th881cKzv3TGORLGZ5q4cV87v345QFTDhEzFouNc1Ps1l74d5LEjnDgsfadIjSSb6072FUuC3PRhiOsW2NmxyMzTK8L88lk/rx4HB03tO8iTGQcxnAwke2EgHvkqjM0Mx8yM/zsQimqcXX7d3FZFIBL73h/WnPdagBv3s3dLBRyJkn2dnl0ZpqZVc/GuCaZV+9BzxjZZkmUixOaTypXD9sAp7cEdgNbaUErdAnwx6CMTYivmC2kOe7oViwkeOqzvwCsY0fxrZZhDtrGQ60ruQ+uMV/ws3xDl3oMdbJdn4tsag6veDfKLZ/28cqwz7ofrhbvaOX0HG5U+g8lZJswmxW9e8TN/gpkDplhY8mOEi98MUNpoMLfEzH2HOBmfOfI+TDfHnezqFoObPgxx6e42LtktNnOw90QLqxsMLl0cjBvgyYyDGO7iZS9c9naQM18N4LbBT8dbuG6BnVkF8dPTe/KHNc+2vXfmJHjvnDvGzO/fCvLWmggz8k089GWIeSWx57t+aZCSdFPC9c8jVW+v0/vro2Q7FV9XRznoyVa+rTEoSlP8+ic2/ryXrSMAG2ySZSLE5pNKgNdErNDK9z22TwQaB21EQmzlAhHNoU+1srbB4L1T3IxJ7/vi46XvIzQGEhdXabdoVZinVkRYfKKLfdqCjL3Gx1KefvZ4K698H+GwbeOfK92uSLfHPjQ/2hDhmW/CrDzbQ22rwRHPtHL7AQ6OnmHlvNcCnPCCn6WnupP8yYePzXEn+43VEUJROGF299fjhFlWTns5wI8NBhOzev+/ITMOYjjrK3vBbobf7mjlZ5Mt5LkU39UaXP9+kN0ebOHjX7vjppj39OJ3EbzB5N47dxtr4fy5Nn72eCsAcwpMLJxv54e6KLcuD7H81+4+qw+PZH29TuXNBq1hzXH/9nPFXnZ2LDazeG2Ea/4bpDGguTWJ5QT9IVkmQmw+qQR4TwMPKKX+ACwjVmRlD2K98Z4agrEJsdUJRzVH/cvPxxujLD7JlfCu9CNfhcl1KQ6amtyv2tfVseBj55Lu592l7e/f1hocluRYDa05+z8BrvqpnZJ0E698H8ZiUpyyfSyYOX+ujdn3tuALaTy2kf+hOth3sr+pMbCb2SSdqL2QzsqaaJ8Bnsw4iOEqXvZCUZqJew/p3LbneDhgioUZd/u4bmmIx4+Mn2be1SNfhchL4b3z5v0dXLanjaYATMpSKKXY//EWztrJxsx8M8+sCLPwvSDVLZp9J5m552DniL6BEu91MjQEInDdAjsX7RrLIpg/wUJdq+auT0IsnG8nI07F04GQLBMhNo9Ufmv+ADwHPAisBtYA/wSeBS4d/KEJsXUxtOb45/28vTbCS8e4EhYRqPIZvLkmwnEzrVjNyX1YFnpi+328Mdpt+0dtfy9JS/5D9+5PwoSjcN7cztmpUFQTaSvF6Qu1r31I+pTDVjJ3sk+ZY2XxSS5OnmPlmv8GueTNYNxz1vs1mQ61ycxA+0Vjvb/vf9iuMw4lt/gwNN1mHO452DEqZhyeWxnmqH+1Mv62ZpzXeZn2dx+XLQ7QHIz/n/K3r/hR/+flhOf9CZ9jVV2U818LMPseH57rvRTd3MyhT7XyVWU04bEQK4Yz+Y5msm/wcsbLfvzh7mNb12jgud7LRxsiSZ1vOOuavfDGCa642QvtxmaY2GOchU/Kk/v3BqhoNli8Nsrxs6xYUkgXzHXFWtQopXj2mzArawyumm/n25ooJ73o584DHZSe78Eb1N2Ke4w0iV6nHFfs33S/HqnoP5tsIWzANzXJv1b9kW5XbJNjxmxSHVkmt+3v6MgyOX+ujY0XpTEm3cQJLyT+HRdCbCrpAE9rHdJanw9kEVuP9xMgW2t9odY6NFQDFGJrcc6iAM+ujHDJbjbctljlxfavDb0UGnji6zARA07evu+ZGMvVXk5/qfMD7MjtrBSnKU56wc89n4R458cI93wS4qQX/IxNVxyxXXKzOlU+gyvfCXDPwY6OC6T2tQ7nvxbgrTUR/rg4yK5jzL1WlRxJkrmTfeVP7Vy8m535Eyxcu8DBGTtYueuTEE2BvgMNraG3GEwnGTHfvL+Dmt97WP07D1/81k1RmolzXwt0m3HY7i4fOTc286vnWuMGjMPVTctCmBVcv8DB68e7OGsnK/d8GmK/x1ox+vh3XFYW4YmvY2Xak/HmmijvlEY4eY6VV451cfdBDmpaNXP/2cJnCYKO9mI4v/6JjYcPd/La6gg3fNA98B8txXC6Zi/85/jE2QtdaTSpvMs8/r8wUR3/vTMeX0hz4RsBbj/AgcemWLw2ysx8E/tOspBmV5y9k43XV4/MgDyZ12lGWxZDz/ev9t+4IVqCt4meWSYflkU7skxcVsX5c228vz7acTNSCJG8lD+RtNatwNdDMBYhtmqvtV0QXLc0xHVLu9/T6K3R6yNfhZmZb2KHor4vhKI69tUu3a5Yfrqbhe8GuXFZkIpmTVGa4ufbWFg43550KuXv3wpy+LZWdh/X+Sue5zbx7C9dXPJmgEe+CrNLiTlugZiRINF6yXh3su/9LMw3NVF2G9v722S2U9Hg12itu822NQQ6H08k12Uit62mQPuMw7+PdnXMOCw6zsXcEjNHP9fK+a8HeOyIkfV6pVp+PxzV/OaVAH/a0859nyV3X/GYmRbO2dna7TVaMNHChNubuf2jEI/G+TeVYjgxXbMXFh2XOHuhq/VNBh+sjyZ9cwpifUNnF5jYvjC1wiztFr4bZHaBmSO7PGdLl/8uvtDIzFxI9nU6fFsLV7wT5PXVEWZ26c36xuoIDgvdtg2leFkmFpMaVVkmQgy2kX3LUYhBVHpBWkr7f5VELx99Vfom28ZmmHhggIFXXxetB0yxcMCUkX0x2i6Z9ZKxO9mRft3JnpFvIhiFNQ2aKdmdO65sS2+ankJBifYZhzsO3HTGAeDsnWyc9vLISylLtfz+35aFiGq4eDdb0gFeb9VrMxyKbXJMbGyOX+JfiuHEtGcv/GnPzuyFdmPSTR03Ti5+I4ChYdexZvJciu/rDP7yfhCTgsv36F7IyHK1l5PnWDd5r/u8IsqKaoObf5bkFG0P31RHuf+z7r3UFkw0c8EbsX6iu5SYuXZpkJ9N3jxBzOaU7Os0M9/MKdtbufKdIIaOVbdcvDbCP78Ic8Vetm43Ent7nT4tj1LaaNCW7c/KGoPnVsb64R001YLLmvj3oT3L5JVjXb1mmRy+bSxVfjRkmQgxFCTAE0KMOJvjTvYBUyzYzPDE/8Jc1aUR8+P/i83c9lVgpTejdcahN32V319Tb3Dtf4MsOs6FLck1rX2p92tWVBucmiAFUIrhxCSbvTAj38Q9n4Z4+KsQzUHIdSkWTDRz1U/tTMvt/nr2zF5o98iXYSwmOH5W//5dz/5PgEt2szOpy+/fjHwzDx/mYOF7QW5aptlnkoXbh6hS5JaUSpbJfYc4KElT3PlxiCqfZkKmiVt+Zuf8ed0D695ep79/HOKRrzobnD+7MsKzK2PP/eP5HiZkJv79lCwTIYbWsAjwlFILgauAr7TW2/d4bD/gGmAO0Ay8APxRay2tG4QYpTbHnex8t4kL59n4y/tB0uyxY59ZEWbJj1FeOib5i5LRPOPQU1/FcADOXOTnyO2s7D1x4B9bv3vNj9Zwwbz4s0RSfj8m2eyF035i47SfJNdypLfsBYDbD3Rw+4H9D77eO6X3ti8nzrFx4pz+NfYeLlLJMrGZFdcucHDtgvj/1r29Tg8f7vz/9u48Pqrq7uP455c9gUACYUdAUVEEN0RxR3GpG9VWW5e6b61tn9bqUy3VR7vY1qVqrdatbnW3VqWKiiwu4IIiSEFwK6Cyb1nInknO88e9iZPJJJlJZjKZyff9et3XTM6999zfzIGZ+5tzz7k8fLKuMhHpzrp9gmdmewBXARvDrJsMvAy8AFwDDAVuBMaZ2aHBN2UXkZ6jq37JvuFIb1zkXxbUsqHcMaZ/Gs+clstJYyLvfejJPQ7B2poM57H/1PLB2no++Unnf83/47wanlga4IGpOS1ucRGOpt8XEZFkE1WCZ2bjgUuB0cAFzrn1ZnYy8KVzbnGsgzOzNOABvNsxjAcKQja5CVgGfL8xmTOz9cBrwGnA07GOSUS6v676JTs9zbjmsGyuOaxj44WgZ/c4NGprMpzyWscvZtZw1cHZ5GQYJf7Mpg0O6hocJdWOXplEdCuSexbWMm1uDb8/IjvinibQZDgiIpJcIh4kYmbHAB8Aw4AjgcZvsNF4l0/Gw+XAcODXYeIZBkwEHg3uqXPOzQLWAt+NU0wiIhIj7U3rvqXSsbnSMW1uDYU3bm9avi5zPPNxgMIbtzPj8/anvH90SS2XzajmigOz+HUHE/KePP2+iIgkj2h68H4H/MI59zcz2x5U/gZwRUyjAsxsJ+C3wFnOubIw4xzG+Y/Lwuy+NGi9iIh0Q5FMhjO4t/H6uXktyk9/torxg9L49aHZjBvY9m+Vz6+o4/zp1Vy0bya3HNPxS101GY6IiCSDaBK8PfDGu4XaBvSLTTge87K5+4GZzrkXWtmsf9Dxw8W0byt1F9DyUs/hHYlTREQ6LpLJcHIyjMmjWn5V5WTAoF5pLdaFTobz1pcBzvhXFXsOSuO8vTObHSM73dinjftUBtNkOCIikiyiSfCK8S7PXB1Svi+wJlYB+S4G9gPGRrBta7+Xtlb+c+J3SamIiEQomslwIhU6Gc7cVQFq6mHxhgYOfrCy2bYj+1rE4zU1GY6IiCSLaBK8J4Cbzex7eMlThpkdDtwCPBSrgMysCG/ylD8CFX6PW2Os6f7f1cBWv7x/y1roR/iePYDbgYdDyoYD8zoRtoiIRCmayXAi3Td0MpzrJ+d0KFEMpclwREQkWUST4F2Dlxh9CRiw3H98ArghhjENB/riJXh/DLO+GO9WCHf6f4/DmzUz2HjgnXCV+/fHa3aPvJ5wHyMREREREUl9ESd4zrk64Cwzuxbvssw0YLFz7vMYx/QFcESY8tuB3sBFwFfOuTVmttCP6fag2yRMwbuU9LkYxyUiIiIiItKtRZzgmVkWkOacWwmsDCrPARqcc7Wt7hwF51w53sycoccv8dcHr7sKr/fuSTO7j29udL4A+Gcs4hEREREREUkWEd8HDy9huixM+Q+BZ2ITTnScc3OBE4FRwAzgVv/xOOdcfSJiEhERERERSZRoxuAdTJgbjgOzgGmxCad1zrnJrZS/Crwa7+OLiIiIiIh0d9H04OUBgTDlDUDHp0ITERERERGRmIgmwfsPcEaY8jOBZbEJR0RERERERDoqmks0fwe8YGY7A3P9sinAacApsQ5MREREREREohNxD55zbgZwEjASuMNfRgBTnXMvxSc8ERERERERiVQ0PXia0ERERERERKQbiyrBa2RmBYT0/jnntsUkIhEREREREemQaG50PhK4BzgCyAxeBTggPbahiYiIiIiISDSi6cF7CCgALgDW4SV1IiIiIiIi0k1Ek+DtD0xyzumWCCIiIiIiIt1QNPfBWwVkxysQERERERER6ZxoEryfAX/074MnIiIiIiIi3Uw0l2hOx+vB+9TMaoBA8ErnXJ9YBiYiIiIiIiLRiSbB+0ncohAREREREZFOizjBc849Es9AepJR1U8kOoSEWZ3oAEREREREUlg0Y/Aws0FmdqWZ3W1mRX7ZwWa2Y3zCExERERERkUhFnOCZ2QTgU+As4EKgcczd0cANsQ9NREREREREohFND94twF+cc/sANUHlM4GDYxqViIiIiIiIRC2aBG8CEG4c3npgUGzCERERERERkY6KJsGrAgrDlO8GbIpNOCIiIiIiItJR0SR404HrzCzb/9uZ2SjgRuBfMY5LREREREREohRNgncl0A/YDOQB84EvgBLgmtiHJiIiIiIiItGI5j54ZcAhZnYksC9ecrjIOTc7XsGJiIiIiIhI5CJO8Bo55+YCc+MQi4iIiCTYqOonEh1CQq1OdAAiIp3UZoJnZr+ItCLn3K2dD0dERERE2qNEXERa014P3k8jrMcBSvAkpejLU0RERESSTZsJnnNux64KRESkI5SIi4iIiHwjmlk0RUREREREpBuLapIVM+sHfAsYAWQFr3PO/TaGcYmISIrpyb2tqxMdgIiI9BgRJ3hmNgmYAdQAA4C1wBD/79WAEjwREREREZEEiuYSzZuBx4FhQDVwJF5P3kLgxtiHJiIiIiIiItGIJsHbE7jTOeeAeiDbObcRuAq4Pg6xiYiIiIiISBSiSfBqg55vBEb6z8uBoTGLSERERERERDokmklWFgETgc+AN4Dfm9kg4AfAf2IfmoiIiIiIiEQjmh68XwPr/OfXAJuBvwKFwCUxjktERERERESiFHEPnnNuYdDzzcBxcYlIREREREREOiTiHjwzu83M9o1nMCIiIiIiItJx0VyieQCw0MxWmNk0MxsVn5BERERERESkIyJO8JxzBwGj8e6F9wPgv2Y2z8wuNbPCeAUoIiIiIiIikYmmBw/n3Crn3O+dc2PxZtRcAFzLN5OviIiIiIiISIJEleCFyASygSy8G5+LiIiIiIhIAkWV4JnZrmb2GzP7HJgPjAGuBAbFIzgRERERERGJXMS3STCzhcA+wBLgbuAJ59yGeAUmIiIiIiIi0Yk4wQNeA852zq2IVzAiIiIiIiLScdHc6Hxa43MzGwRsds41xCUqERERERERiVo0NzrPMLObzGw7sBYY5ZffaGaXxSk+ERERERERiVA0k6xcD5yEdw+8mqDy94HzYheSiIiIiIiIdEQ0Y/DOAC5wzr1pZsGXZi4Ddo1tWCIiIiIiIhKtaHrwhgJfhinPILpEUUREREREROIgmgTvY+CwMOXfAz6MTTgiIiIiIiLSUdH0vP0GeMzMdgDSgdPMbDfgTOCEeAQnIiIiIiIikYu4B8859yJeb90xQANwHbALcJJzbnZ8whMREREREZFIRdSDZ2YZeIndAufc4fENSURERERERDoioh4851wAeA7Ij284IiIiIiIi0lHRTLKyBNg5XoGIiIiIiIhI50R7o/M/m9nJZraDmfULXuIUn4iIiIiIiEQomlk0Z/iPzwEuqNz8v9NjFZSIiIiIiIhEL5oE70iaJ3YiIiIiIiLSjUSc4Dnn3ohjHCIiIiIiItJJ7Y7BM7M8M7vLzNaa2SYze8LMiuIZlJlNMbOHzexTM6s0szVm9pyZjQ+z7dFm9p6ZVfnx3WtmBfGMT0REREREpDuKZJKV3wDn4Y3Bewo4Grg7jjEB/BAYAdwGHAf8wv/7AzOb1LiRmU0GXga+Bk4CrgSmAjPMLJoJZERERERERJJeJJdofge40Dn3FICZPQa8bWbpzrn6OMX1Y+fcpuACM3sNWAX8L/Bdv/gmYBnwfedcg7/deuA14DTg6TjFJyIiIiIi0u1E0su1AzCv8Q/n3PtAABgar6BCkzu/rAT4HBgOYGbDgInAo43Jnb/dLGAt3ySBIiIiIiIiPUIkPXjpQG1IWSDCfWPGzAYA44An/aJx/uOyMJsvDVofWk8BEDpGb3gsYhQREREREUmkSJI0Ax4zs5qgshzgfjOrbCxwzk2NdXBNAZgZcB9ej+MtfnF//3FbmF22Afu2Ut3PgetiGqCIiIiIiEg3EEmC90iYssdiHUg7bgZOBs53zq0IWdfavflaK78deDikbDhBl6GKiIiIiIgko3YTPOfc+V0RSGvM7AbgCuBnzrmHg1Zt9R/7t9gJ+hG+Z69xLF9JyDE6H6iIiIiIiEiCdetbCZjZb4FpwC+dc3eErP7Yfww31m484cfmiYiIiIiIpKxum+CZ2XXAtcC1zrmbQ9c759YAC4Gzgu95Z2ZTgGHAc10Vq4iIiIiISHfQpTNhRsrMrgCuB14CZgff3Byocc4t9p9fhXfPuyfN7D68WzfcCCwA/tl1EYuIiIiIiCRet0zwgJP8xxP9JdiXwCgA59xcMzsR+A0wA9gOvIB3SWe8bsIuIiIiIiLSLXXLBM85NzmKbV8FXo1fNCIiIiIiIsmh247BExERERERkegowRMREREREUkRSvBERERERERSRLccg9fTVK38kNIF/6Ju61c0VJeTntuX7GG70/eQM8kqGtHqfhuf+T+qVy2iz4Hfp/Cws9s8RqB0E9tm30vtppU0VJZimTlkFo2g7wGnkjt6vzb3dQ31lLz1D8qXzsbSM+kz8RT6TPx2s20qVsyjeO79DL3oHtKy8yJ/8SIiIiIiEjNK8LqBhupysgfvTP4+x5Oe15dA2WbK3nuWDY9ewdAL7iKj78AW+1Qsf5O6TasiP0ZtFWm5fSg49Gwy8otoqK2kfMlMNj17PQNOnkbemINa3bdi2Ry2f/Qq/Y+5jIaaCrbNuoesQTuSM2LPprqL5/6dwiMuVHInIiIiIpJASvC6gV5jD6fX2MOblWUP2ZV1f/8hlZ/Op8/+32m2rqG6nG1z76ffkRez5cUW94APK2vASIqO/1mzstzRE1l7z4WUL53VZoJXtfLDZjFWfv4eVSs/bErwSuY/Tmb/4S1eg4iIiIiIdC0leN1UWm6+/6RlExW/8RBZRSPoNfbwiBO8cCwt3etxS2/7n4GrD2AZWd/ElpmDC9QCULt5NeUfvcqQc2/vcBwiItJ9RTqMIFC2hbIFz1Kz4XPqNq3GBWoY9sMHyOg7KOJjBbZvoWTeY1StXOgdq3d/eu1+KIWHn9fmfhXL36Bk3mM0VJeTt+tBFB51KWmZ2d/UW7qJdQ9cxqDTbyB76Jio3wMRkWSiBK8bcQ314BoIlG6i5M1HSO9VSK/dD2u2TfWajylfNpeh5/+1Y8dwDeAcDZVlbF/yKnXb1lE45ZI298keOobtH71K/j7H01BTSdXqxfQ/9icAbHvtbvL3+zaZ/Yd3KJ5k0hUnOQ01lWx95Q5qN/6X+optkJZBZr9h5E84id57HNHu/mXvP0fZB9NxDfX03vMoCg47B7Nv5lKqWfcpG5++ptVLf1NFNONaA2WbKZ5zP1WrPwIcOaP2pt+Ui8no0/77U1eygZLXH6TqyyXQECBryK4UTr6A7CG7tLuv2kqSRaTDCAIl66j4ZD5Zg0eTPXws1asXR3WcQOlGNjz2v2T0HUy/KZeS3quAQOkmAsXr2tyvbttatsy4jYJDziKzaCTbXvsb6QuepeCQs5q22Tb7XnqNnZzSyV1XJuKNKpa/yZYXbya9d3+G//iRCLZXIi7SFZTgdSMbHr2C2g1fAJBROIRBp/+B9F4FTetdfYBtr95Fn/2/0+GEquT1hyj74HkALCuXAVN/Se6ovdvcJ3/fE6latYh193mJYN7uh5G3+6GUL51D/fYt9D3wex2KJdl0xUmOawhAWjp9Jp3m1VdfR8Un89j60p9pqCylz8STW9236sslFL/5CP2O/hFpWblsnXknmf2G03v8UX7d9Wx77W/0baw7hUXaVg111Wx8ahqWnknRCZeDGSVvPcrGJ6cx5Pw7ScvKafUY9VVlbHz8l1hWHv2P/TGWmU3ZBy+w8alpDDn7VjKLdmh1X7WVpysS8Zr1n1O+5FWqv/6Y+rLNpOX2IXuHsRQcejaZBYPbjVGJeOTDCLJ3GMcOP30MgO1LZkad4G2deRfp+f0ZdMYfsHauLAlWvXoxmYVDm76L6rZ+ReVn7zYleJVfvE/Nuk8YetE9UcWTbLoqEQ8+3ra595PeqzCi7ZWIi3QdJXjdSNEJV9BQW0mgZANl7z/HxqevYfAPbmr6Va10wbO4QE2nEqr8/b5N3u6HUV9RTMWyuWx+8WYGpP+KvJ33b3WftOw8Bp/5JwKlmyAtnYz8/jRUl1P8xkP0P/5nWEYs6ORQAAAcbElEQVQmxW/9g4qlcwBHr/FHU3DoWc1OglJBV5zkpOf2YcDU/21Wljt6InXb1lL+n1ltJnjVKz8kZ9Te5O/9Le/vr5dStfLDpqRh++KXcYHaFmM6U1GkbVW+ZCaBko0MvfgeMguHApA5YBTr7ruE8o9eoc/+p7R6jO2LX6a+ooShZ/6pad+cEXux9t6LKJn/OANOvrrVfdVWnq5IxCtXvEXdlq/oM+EkMotGUF++lZK3n2LDI5cz5Pw7yOgzoNV9lYi3Ltwwgs585tcVr6d61SL6n/CLqJI7aDmMwIKGETTU1VA8+14KJ59PemPMKaqrEvFGxW88RNaAHUnv3Y/q1R+1u70ScZGuowSvG2n8xT976Bhyd5rAmnsupPS9f9L/2J8QKNtE2bvP0O9bP4X6Ohrq677Zsb6OhupyLCsXS0tv8xgZfYrI6FMEQN7O+7Phiaspfv3BNhO8pn2DTmCK33qU7GG7kTd6Its/epWKj19n0Fk3ArDxiV+R0XcQ+XsdE+1bkHRifZLTmvTcPtTXB9rcxtXXkZbxzaUulpmDKy8GoL6imNJ5jzHglF9HffKUKsK1VdUXC8geOqYpQQPILBhM9vCxVH6xoM0Er3bdp2QUDm22b1pWDjnDx1L13w9wDfWt/n9UW3m6IhHvM+lU0vP6Nj/GsLHeBFNLZlJw6A9a3VeJeHORDCPoqJq1ywGwjCw2PnUN1WuWkZaRTe7O+1M45WLSc/u0um/WkDEUv/4gVasWk1k0goqls8keuhsAZe8+Q3p+f3qNmxKTOJNNvL6jqtcsp+LjNxhywV8pfefpiPZRIi7SdVL77CGJpeX0JrNwCIHi9QAESjbgArVsfenPbA3Ztuz95yh7/zmGnHcHWYN2iuo42YN3oWzh9Kj2qdnwBRUfv87QC+8EoHrVIvLGHNx0uVPebgdTverDlE3w4nmS03QM58A10FBTQeWn71C1ahH9j/ufNvfJHjqGrTP/Rs2GL0jLzqPyk7fJ3+c4AIpff5Dc0RPJGblnTOPs7tprq9otX5G386QW+2UWjaDyk/ltV25p4ROwjExcoIZA8fpWL6VWW7Uu1ol4aHIH3o9VaXl9CWwP/TRtTol4c+0NI+iM+vJtAGx95S/02uNIBh54GoHi9ZS8+Qh1W79m8Dm3tpqY5Azfnfz9prLpmWsByBy4I30POZO6bWspWzidwWffgpnFJM5kEO/vKG+4yJ3ecJGg/5PtUSIu0nV6xrdSEqqvKKZu6xp6jZ0MQNbAnRh0xh9abLfxyWn02uMIeu95NBmFQ6I6hnMNVK9ZHtV+zjV4lyQd9L1mY19cXfU3z2urwbmoYkkm8TzJabR90UsUz77X+yMtg35TLqF3O198ebsdSuVn77HhkZ8DkD1iT/InTKX6q6VUffE+Qy/ueZe9tNdWDVXlpOX0brFfWk4+DdXlbdad2W8Y1as/or6qrKl3wbkGatd/5tVdvb3VfdVWzcU1EQ+jbsvXNFSWkNm/9XGSoEQ8VHvDCDrF/87IGTGe/sf8yCsbuRdp2Xls+fdNVK9cRO7o/Vrdvd+RF9F30mk01FSSUTAYM2Pj09eSv8/xZA0YRcWKtyiZ/wQNlaXe+M1jLkvZnqJ4f0eVLngWV19H3wNPi2o/JeIiXUcJXjew6bnfkzVoNFkDdyQtK4+64rWUfTDdm2zD/2U6Lad3033nQqX3GdhsXaB0E2vvvYi+B59BwcFnAN696hqqy8ketjvpvQqpryim/D+zqF3/GUUnXRlxrOVLZuJqq+mz3zdjwXJG7U3xGw+RPXwPACpWvEnhERdG/T4ki7ie5Ph67X4Y2UN3o6GqjMovFrBt9r2Qlkb+3se1uo+lpTPg5Ku9XomGejL6DvR+aZ11NwWHnU16r0LKFk5n+8J/01BXTd6uB1J45MXNZjBLNRG1VdjzifZ/oOi9z/GUffgiW1+6lcKjLvUmWXn3aQIlG/16W78MSm3VXDwT8VCuoZ6tr91FWl5ferdzlYES8ebaGkbQWY09tzmj9mlWnrPjvgDUblrZZoIHXm9tY49txSfzqdv6NQNOmUbdlq/ZMuNWBp56PdlDdmXz9BspnnMfRSde0em4u6N4fkfVFa+j7N1nvJ7roMstI6VEXKRrKMHrBrKH7kblJ/Mo++AFqA+Q3qeInB3G0/fA0zr4gexd3odraCrJGrQzZQunU7HiLRpqKkjvVUjWwB0ZdNaN5AwfG1Gt9ZWllLz1KANOmdbskqTeex1LoHg9xXMfABz5ex9H7z2P7kDcySGeJzmNgk9UcneagKurofj1B+k9/uh2LwfLyO/f9Lxs4XQsI4ve+xxP1arFlMx7jMFn3kh6fn82PfN/lL37DAWHnR2zuLub9toqLac3DVUtE4SG6vAJRbO6CwZTdNKVbJt1N+vuuxiArEGj6TPxZMref4703u3PLKe28sQzEQ+1bdbd1KxdwcBTryO9nTZWIt660GEEnZUZMmtqC1H07DTUVlE85376HXUpaVm5lH/5EVlFI5tmjM7f93i2vvyXzoTbrcXzO2rb7HvJGbEn2UPHNP244uoDgPP+Ts9s99+/EnGR+FOC1w30nXQqfSed2qF9R171UouyjL6DWpTn7XIAebsc0KFjNErP68sO//NEi3JLS6fwyAspPDJ1e+1aE+uTnNZkDd6ZimVzqK8oaZokpz2Bsi2UvvM0g07/PWZpVK36kNxR+zSN0+w1/igqls1N2aQhVLi2yiwaQd2Wr1psW7flq/ZPOIFeYw4mb5dJBLatg/QMMguH+FO9D4joPnqNenpbxTMRD1b85sOUfzST/idcTq7fMxQJJeIthQ4j6KzsobuR3quQ6lWL6DPhpKby6pUfApA1uP17SzYqnf8EmQNHkTfmoKayhrqapueutjrcbikp1t9RdVu+pr5sE1//5fQW677+y+nkT5hKv6Pavrduo56eiIvEkxI8kU6I9UlOa2q+XoZl5ZLeq+WEEa0pnnMfvfaYTPaQXZvKGpqNlayiIz0gySpcW+XtfADFrz9AXcmGpkmCAqUbqVm7gsLDz42oXktLb0pQAtu3UvnJvKhnVVRbfSMeiThA6TtPU/besxQedSm9xx3Zodh6aiIeyTCCRhX+mMjGS26rVn5IWm4f0vP6kjNifNN2X940lV7jplB0/M8A7/9RweHnsfXl29g6807ydj3Im2TlrX+QPWI8OSP3iijW2s1fsn3Jqww5/69NZTkj9qR4zv2UvP0k2UN2pfSdp1tcCpqqYv0dNWDqL3H1tc3KSt97ltoNXzDg5KtJz4/sB0hQIi4ST0rwRCLUFSc52z96hZq1n5Izai8y8otoqNpOxSfzqPz0bQoOPw9Lz4wo1qqVH1K9ZjnDgsYI5Y7cm+0L/832RTNI792P7YteStkZyyJtq957Hcv2RS+x+V+/80/KjZJ5j5KRX0TvoPGO4ca1uvoAxW88RM4O47DsPOq2fEXZe/8ks2hEm7M6hurpbRUqHol42cJ/UzLvUQoOO6dZ71C0emoiHs0wgi3T/9Ts722v/c2rY4dxDD4zaF3IMAKA3uOngBllC56lfOls0nPy6bXHERQcfm7Ek29sm3W3N7tj0E3sswaMpP/xP6f07Scoe/85ckbuFXEvUzLpiu+o7GG7tThu+dI5WHpmq/MEhKNEXCS+lOCJRKgrTnIyi0ZR+fl7lLz+IPXV20nP7UNm/x0YcOp15I2eGFGcLlDHttn3UHjE+c0uX8sdvR8Fh59D6bvP4AI15O4yib4HfT/atyEpRNpWaVk5DDrjBorn/J0tL/0ZwDv5m3IxaVm5QTW2HNeKGYHidWxd/iYNNeVk5BfRa/zR9D3wtIgT8Z7eVl2RiFcsf5PiOfeTs+MEckbsSc3aT5q2t+w8siLsAezJiXg0wwjCDRuIZrve447scA8r0PzzNYb1JoOuSsRjoScn4iJdwVwKT2cfKTMbBaxatWoVo0aNivvxRl09I+7H6K5W/+mERIcQsZ7cTpA8baV2So52gpZtVfres1R+Mo+6kg3tnpAGyjZRPOfvVK1eDHyTiAdvFyjdyNp7LvQSvEPOAmDLjNuoWDYnbDwtTmZb4QJ1rHvwMvoedHqL25WULniW7QtfbErE+x39Q9Iyc1rUkczt1NMkS1upnbqmnVavXs2OO+4IsKNzbnWXHFSkk9SDJyIiCRFNz1BGn4EMOGVa29uEmWCq6ITLKTrh8g7HCGAZmQy75P6w6/oecCp9D+jYJFkiIiLx0PqNmkRERERERCSpKMETERERERFJEUrwREREREREUoQSPBERERERkRShBE9ERERERCRFKMETERERERFJEUrwREREREREUoQSPBERERERkRShBE9ERERERCRFKMETERERERFJEUrwREREREREUoQSPBERERERkRShBE9ERERERCRFKMETERERERFJEUrwREREREREUoQSPBERERERkRShBE9ERERERCRFKMETERERERFJEUrwREREREREUoQSPBERERERkRShBE9ERERERCRFKMETERERERFJEUrwREREREREUoQSPBERERERkRShBE9ERERERCRFKMETERERERFJEUrwREREREREUoQSPBERERERkRShBE9ERERERCRFKMETERERERFJEUrwREREREREUoQSPBERERERkRShBE9ERERERCRFKMETERERERFJEUrwREREREREUoQSPBERERERkRSR9AmemfU2szvMbL2ZVZnZQjObmui4REREREREulrSJ3jA88BZwDXACcBy4HkzOz6hUYmIiIiIiHSxjEQH0Bl+EncU8B3n3PN+2evATsCfgZcTGJ6IiIiIiEiXSvYevFOAUmB6Y4FzzgGPALuZ2dhEBSYiIiIiItLVkroHDxgHLHfONYSU/yd4ffAKMysACkK2HwmwZs2aeMTYQqB0Y5ccpztavXp1okOIWE9uJ0ietlI7rU50CBHryW2ldkoeydJWaqfVXXKcoHPD9C45oEgMmNfhlZzM7DPgM+fciSHluwCfAZc55+4OWXc9cF2XBSkiIiIiye5Q59z8RAchEolk78EDaCtDDbfuduDhkLIsvHF7nwP1sQmr2xoOzAMOBbqmy1I6Qu2UHNROyUNtlRzUTsmhJ7VTOjAE+CDRgYhEKtkTvK1A/zDl/fzHbaErnHMlQEmYfT6LYVzdlpk1Pl3jnFudwFCkDWqn5KB2Sh5qq+SgdkoOPbCd/pvoAESikeyTrHwM7G5moa9jvP+4rIvjERERERERSZhkT/Cex5sw5aSQ8nOAT51zy1vuIiIiIiIikpqS/RLNl4HXgQfMrD+wCjgXOAT4diIDExERERER6WpJneA555yZnQz8wV8K8G6L8B3n3IsJDa77KgF+Q/hxiNJ9qJ2Sg9opeaitkoPaKTmonUS6saS+TYKIiIiIiIh8I9nH4ImIiIiIiIhPCZ6IiIiIiEiKUIKXBMxsipk9bGafmlmlma0xs+fMbHyYbY82s/fMrMrMNpnZvWZWEGa73mZ2h5mt97ddaGZTw2z3hpm5MMtT8Xq9ySrW7WRmw83sL2Y238zK/fd9chvHP9PMlphZtX/sP5lZThxeatJLVFuZ2RAzu8Gvb6uZlZrZB2Z2bpjbvfR4if4/FbTfGL9eZ2Z7x/AlpoREt5OZDTSzu8zsazOrMbN1ZvZ8HF5q0kvgZ9/kVs4lGper4/iyRXocnVAkhx8CI4DbgOOAX/h/f2Bmkxo38j9UXwa+xrt1xJXAVGBGmJPH54GzgGuAE/Amp3nezI4Pc/zPgQNDlmti9NpSSazbaWfgDKAcmNPWgc3sB8DjwNv+sf8A/Bh4uPMvKyUlqq0mAGcDs4EfAKcB7+G1062df1kpJ2H/p4LqNuDvQHEnX0sqS+Rn33DgfWB/4GrgaOBy1F6tSVRbLaLlecSBwHR//QudfF0iEsw5p6WbL8DAMGUFeF9g/woqex9YDKQFlR0NOOD7QWXH+2WnBJUZMB9YEXKcN4CPEv0eJMMSh3YKXn+yv35ymGOkA+uB6SHlF/v7HJDo96a7LQlsq0IgM0z5Q0AAKEj0e9OdlkS1U8jxfgKsBf7H337vRL8v3W1JZDsBL/p1Zif6fUiGpTv8nwraPgvYDLyd6PdFi5ZUW9SDlwScc5vClJXg9awNBzCzYcBE4FHnXEPQdrPwTk6+G7T7KUAp3/xyhnPOAY8Au5nZ2Di8jJQX63YKXt+OScBgvPYL9jhQR/O2FxLXVs65YudcXZhVH+Al6kOieBkpL4H/p/DrHgn8EfgpUNaBl9AjJKqdzGxHvCtQbnfO1XTmNfQUif4/FWIqUAQ82Ik6RCQMJXhJyswGAOOAZX7ROP9xWZjNlwatb9x2eZgP5v+E1NVojJkVm1nAzD43s2vMLLMT4fcYnWynSIWt0zlXCfy3g3X2OF3UVq05EqgAVsewzpTUxe10LzDHOfdcJ+rokbqonQ7Fu/qkzMxeNm/8cbmZvWRmu3Wgvh4pgZ99F+B97j0do/pExKcELwn5Y0Luw2u/W/zi/v7jtjC7bAta37hta9sRsu08vPEMp+BdfvEm8FvgmY7E3pPEoJ0iFY86e5QubKtwxz4F7xfxPzvnqmJRZ6rqynYys3OBg/Au0ZQodGE7DfUfHwbWAScClwBjgXlmph7xdiTqs8/MhgLHAM8458o7W5+INJeR6ACkQ27GS7bOd86tCFnX2p3rQ8vbusN90zrn3LUh614ys43ANDM7xDk3P5KAe6hYtFM04lFnT9HVbQWAP6nBo3iTrvyus/X1AF3STmY2CG/Sm2nOuTXR7i9d9v+p8Ufqd51zFzUWmtlSYAneRFOaEKxtCfnsA87Duyxdl2eKxIF68JKMmd0AXAH8zDn3cNCqrf5juF/W+tH8l7itbWwH4X+1C9Y41uvAdrbrsWLUTpGKR509Rhe3VfBxJwKv4k1k8G3nXKAz9aW6Lm6nW/FmD3zCzAr8qeHz/HX5ZtanA3X2CAn67JsZXOicWwqsAfbtQJ09RqI++3znAZ/pR2KR+FCCl0TM7LfANOCXzrk7QlZ/7D+GuzZ+PM2vpf8Y2D3MrRMa74MT7rr7YI37dWZwdcqKYTtFKmydZpYHjO5gnT1CAtqq8bgTgNeAFcDx/nhJaUUC2mkPYC+8E91if7nLX/cW8FkH6kx5CWinpW2Fg76jWpWozz7/2IcBu6DeO5G4UYKXJMzsOuBa4Frn3M2h6/3LiBYCZwUnbmY2BRgGBE8S8DzetMgnhVRzDvCpc255O+Gc4z++F9WL6AFi3E6Reg/YgHd/tWBnAJkdrDPlJaitMLN9gFl4E+B8yzm3vSP19BQJaqeLgCNClhv9dRcD3+lAnSktQe20AG/sXbP7t5rZXn6dCzpQZ8pL1GdfkAuAeuAfnaxHRFqhMXhJwMyuAK4HXgJmB9+MFKhxzi32n1+F1yvwpJndhzcA/Ua8L7l/Bu3zMvA68ICZ9QdWAecChwDfDjruoXg3jv0X8CXQy19/PvBP59zbsX2lyS0O7YSZneo/neg/Hm5mRUCFc+4VAOdcwMyuBh42szuBZ4Hd/Tqfdc4pEQ+RqLYyszF4yV0D8H94PenB1Sx3zmk6fl8C/08tDBPLKP/pQufcR517Zaklge1U7x/7STN7GHgSGIQ3Edha4G+xfJ2pIFFtFbRtb+BU4BXn3PqYvTARaS5RN+DTEvmCd7Nx18qyOmTbb+F9AFfj3UD0fqAwTJ19gDvxen6qgUXAySHb7AzMwBvLUA1U4o0X+jmQnuj3pbstcWqniOrzt/0B3iVLNXgnNzcBuYl+X7rjkqi2wht30tp2Ed8guKcsif4/FbJfY9vpRufdrJ3wEoYP/Tq3AU8BIxL9vnTHpRu01YX+ulMS/V5o0ZLKizmnCfZERERERERSgcbgiYiIiIiIpAgleCIiIiIiIilCCZ6IiIiIiEiKUIInIiIiIiKSIpTgiYiIiIiIpAgleCIiIiIiIilCCZ6IiCQ9MxtsZs7MDkl0LCIiIomkBE9EJMbM7DEz+8jMskLKp5hZnZkdlKjYuhMzO8pPygoSHYuIiEiqUIInIhJ7PwH6A9c1FphZH+BB4Gbn3DvxOnBoUtnZ7eIl0ccXERFJVUrwRERizDlXApwP/NLM9veLbwOKgesbtzOzcWb2ipltN7NNZva4mQ0KWn+Amc0ysy1mVmpm84Lqw8wy/B6wH5rZdDOrAH4bLiYzm29md5rZrWa2GXjTLy8ws7/7xy8zszfMbN+g/S4ysxIzO9nMPjOzajObY2ajQuq/zMz+a2a1Zva5mV3QTpxPALP8TYr99X/3t08zs1+Z2UozqzKzpWZ2RsjxDjCzxX48i4CJkbSNiIhIqlOCJyISB8652cDdwD/M7FTgLOBs51wtgJkNw0uyFuMlJ0cDBcDzZmZ+NfnAI8ChwCRgKfCKmRWGHO43wHRgPHBPG2GdCwSAQ4ALzCwNeAUYCBwPTADeAeYGJ5pAHvBrf/+DgGzgX41xmtlpwO3An4FxwF3AfWZ2XBtxXgV8zy8fAwwBfuH//UfgHOBHwFjgRuABM/uWf7x8YAbwqR/zNOCWNl63iIhIj2HOuUTHICKSkswsFy+B2wW42jl3c9C6PwATnHPHBpUVAZv98kVh6jNgE/BT59xTZpYB1AG3O+cubyeW+UAv59w+QWXHAP8EBjrnaoLKlwEPOuduNbOLgPuBSc65Bf76nYAvgCOdc2+Y2QJgiXPukqA6HgOGO+cmtxanmR2F14tX6Pd6NiZvm4EjnHPvBm17JzDCOTfVzC4Dfgfs4Jyr9NefBzwEHOqcm9/WeyEiIpLK1IMnIhInzrkqvJ6lGrzerWATgCPMrLxxAVb760YDmNkgM7vPvzSyFNiON7ZvREhdCyMMKXS7CUBvYGtIHLs1xuALBO/rnFsJbMTrXQPYHXg7pO75QeujiXMcXg/hrJCYLg6KaXe8hLIyaL93ERERETISHYCISIoLAA3OuYaQ8jTgRbxLFUNt8B8fw7ts8+fAl3iJ4htA6AQlFRHGErpdGrAemBxm29KQv9u73CPc+tCySOJs/OHxBGBtyLpa/9EQERGRsJTgiYgkxiLg28Bq51yglW0OAS5xzr0MYGZDgMExjmEwEHDOrW5juwxgP+B9P44dgUHACn/9Cj/Wf4TEvryd4zcmbOlBZcv88hHOuTdb2W85cIaZ5fq9pOCNURQREenxdImmiEhi/BUoAp40s/3NbCczO9qf0TLX3+Yz4Gwz292fPfMpvF68WJmJl7S9YGbHmtkoMzvQzH4bcq++OuCvZjbJzPbBm/hlCV5vIsDNwHlm9iMz28XMfg6cDtzUzvG/9B9PMLMBZtbbOVeKN+PobWZ2npmNNrN9/Fk6L/K3f8x/fMDMxprZscCvOvE+iIiIpAwleCIiCeCcWwMcjNd7NRP4GLgTqMRLqADOw7tEczHebQXuBb6OYQwNwLeAeXj36PsMeAZvUpj1QZtW4s1k+TjwHlAPfNf5s3Q5557Fu4z0Sv91/Bi41Dn3SjvH/xJvZs2b8Mb03e6v+hXwe7zLV1cArwEnA6v8/cqAE/HG+C32Y/tlx94FERGR1KJZNEVEpFV+r9ktzrmCRMciIiIi7VMPnoiIiIiISIpQgiciIiIiIpIidImmiIiIiIhIilAPnoiIiIiISIpQgiciIiIiIpIilOCJiIiIiIikCCV4IiIiIiIiKUIJnoiIiIiISIpQgiciIiIiIpIi/h+zHxmkT3DWHgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_context(\"notebook\", font_scale=1.5, rc={\"font.size\":16,\"axes.titlesize\":16,\"axes.labelsize\":14})\n",
    "\n",
    "ax = SummaryAfrica.plot(kind=\"bar\",stacked=True,figsize=(15,10), width=0.6)\n",
    "for p in ax.patches:\n",
    "    width, height = p.get_width(), p.get_height()\n",
    "    x, y = p.get_xy() \n",
    "    ax.annotate('{:.1f} %'.format(height), (p.get_x()+0.05*width, p.get_y()+.4*height))\n",
    "plt.title(\"Stacked bar of the prevalence of undernourishment in Africa \\n Data from the Food and Agricultural Organization of the United Nations\")\n",
    "plt.legend(loc='upper left', prop={'size':14}, bbox_to_anchor=(1,1))\n",
    "plt.tight_layout(pad=7)\n",
    "plt.xticks(rotation=0)\n",
    "plt.ylabel(\"Prevalence of undernourishment(%)\")\n",
    "plt.xlabel(\"Year reported\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ECvcUiX8q0tk"
   },
   "source": [
    "#Read in Asia Prevalence of Undernourishment datafile  \n",
    "Source: Food and Agriculture Organization of the United Nations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "7W7TsAb4ryZa"
   },
   "outputs": [],
   "source": [
    "df2 = pd.read_csv(malnutritionAsiafile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 195
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 422,
     "status": "ok",
     "timestamp": 1549841170647,
     "user": {
      "displayName": "OuagaNet NGO",
      "photoUrl": "https://lh4.googleusercontent.com/-WEGOWARVWAE/AAAAAAAAAAI/AAAAAAAAAYI/OIqT0j6_YCY/s64/photo.jpg",
      "userId": "04407885692128976561"
     },
     "user_tz": 300
    },
    "id": "oqo4v56CrC5f",
    "outputId": "e41de99a-5e23-42e8-eb54-a4bb072d9e3f"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>2005</th>\n",
       "      <th>2010</th>\n",
       "      <th>2012</th>\n",
       "      <th>2014</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>World</td>\n",
       "      <td>14.5</td>\n",
       "      <td>11.8</td>\n",
       "      <td>11.3</td>\n",
       "      <td>10.7</td>\n",
       "      <td>10.8</td>\n",
       "      <td>10.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Asia</td>\n",
       "      <td>17.3</td>\n",
       "      <td>13.6</td>\n",
       "      <td>12.9</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>11.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Central Asia</td>\n",
       "      <td>11.1</td>\n",
       "      <td>7.3</td>\n",
       "      <td>6.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>South-eastern Asia</td>\n",
       "      <td>18.1</td>\n",
       "      <td>12.3</td>\n",
       "      <td>10.6</td>\n",
       "      <td>9.7</td>\n",
       "      <td>9.9</td>\n",
       "      <td>9.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>21.5</td>\n",
       "      <td>17.2</td>\n",
       "      <td>17.1</td>\n",
       "      <td>16.1</td>\n",
       "      <td>15.1</td>\n",
       "      <td>14.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Region  2005  2010  2012  2014  2016  2017\n",
       "0               World  14.5  11.8  11.3  10.7  10.8  10.9\n",
       "1                Asia  17.3  13.6  12.9  12.0  11.5  11.4\n",
       "2        Central Asia  11.1   7.3   6.2   5.9   6.0   6.2\n",
       "3  South-eastern Asia  18.1  12.3  10.6   9.7   9.9   9.8\n",
       "4       Southern Asia  21.5  17.2  17.1  16.1  15.1  14.8"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "8MvUPdkUrCkR"
   },
   "outputs": [],
   "source": [
    "melted_df2 = pd.melt(df2, id_vars=[\"Region\"], \n",
    "                 var_name=\"Year\", value_name=\"MalnutritionIndex\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "EvI6jI8qvFNe"
   },
   "outputs": [],
   "source": [
    "SummaryAsia = pd.crosstab(melted_df2['Year'], melted_df2['Region'], values=melted_df2['MalnutritionIndex'], aggfunc=np.sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 254
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 295,
     "status": "ok",
     "timestamp": 1549841391921,
     "user": {
      "displayName": "OuagaNet NGO",
      "photoUrl": "https://lh4.googleusercontent.com/-WEGOWARVWAE/AAAAAAAAAAI/AAAAAAAAAYI/OIqT0j6_YCY/s64/photo.jpg",
      "userId": "04407885692128976561"
     },
     "user_tz": 300
    },
    "id": "yuduB5lQvNxr",
    "outputId": "19b7c6e2-f66a-4630-f031-7a51a3d2264c"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Region</th>\n",
       "      <th>Asia</th>\n",
       "      <th>Central Asia</th>\n",
       "      <th>South-eastern Asia</th>\n",
       "      <th>Southern Asia</th>\n",
       "      <th>Western Asia</th>\n",
       "      <th>World</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></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>2005</th>\n",
       "      <td>17.3</td>\n",
       "      <td>11.1</td>\n",
       "      <td>18.1</td>\n",
       "      <td>21.5</td>\n",
       "      <td>9.4</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>13.6</td>\n",
       "      <td>7.3</td>\n",
       "      <td>12.3</td>\n",
       "      <td>17.2</td>\n",
       "      <td>8.6</td>\n",
       "      <td>11.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>12.9</td>\n",
       "      <td>6.2</td>\n",
       "      <td>10.6</td>\n",
       "      <td>17.1</td>\n",
       "      <td>9.5</td>\n",
       "      <td>11.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>12.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>9.7</td>\n",
       "      <td>16.1</td>\n",
       "      <td>10.4</td>\n",
       "      <td>10.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>11.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.9</td>\n",
       "      <td>15.1</td>\n",
       "      <td>11.1</td>\n",
       "      <td>10.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>11.4</td>\n",
       "      <td>6.2</td>\n",
       "      <td>9.8</td>\n",
       "      <td>14.8</td>\n",
       "      <td>11.3</td>\n",
       "      <td>10.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Region  Asia  Central Asia  South-eastern Asia  Southern Asia  Western Asia  \\\n",
       "Year                                                                          \n",
       "2005    17.3          11.1                18.1           21.5           9.4   \n",
       "2010    13.6           7.3                12.3           17.2           8.6   \n",
       "2012    12.9           6.2                10.6           17.1           9.5   \n",
       "2014    12.0           5.9                 9.7           16.1          10.4   \n",
       "2016    11.5           6.0                 9.9           15.1          11.1   \n",
       "2017    11.4           6.2                 9.8           14.8          11.3   \n",
       "\n",
       "Region  World  \n",
       "Year           \n",
       "2005     14.5  \n",
       "2010     11.8  \n",
       "2012     11.3  \n",
       "2014     10.7  \n",
       "2016     10.8  \n",
       "2017     10.9  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SummaryAsia"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "lBECQ_8owpY2"
   },
   "source": [
    "# Construct a stacked bar chart of the Prevalence of undernourishment in ASIA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 507
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1421,
     "status": "ok",
     "timestamp": 1549841747871,
     "user": {
      "displayName": "OuagaNet NGO",
      "photoUrl": "https://lh4.googleusercontent.com/-WEGOWARVWAE/AAAAAAAAAAI/AAAAAAAAAYI/OIqT0j6_YCY/s64/photo.jpg",
      "userId": "04407885692128976561"
     },
     "user_tz": 300
    },
    "id": "5ZVb6pNZwZ4Y",
    "outputId": "2d929b38-eb33-451d-baab-4489f9a38018"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_context(\"notebook\", font_scale=1.5, rc={\"font.size\":16,\"axes.titlesize\":16,\"axes.labelsize\":14})\n",
    "\n",
    "ax = SummaryAsia.plot(kind=\"bar\",stacked=True,figsize=(15,10), width=0.6)\n",
    "for p in ax.patches:\n",
    "    width, height = p.get_width(), p.get_height()\n",
    "    x, y = p.get_xy() \n",
    "    ax.annotate('{:.1f} %'.format(height), (p.get_x()+0.05*width, p.get_y()+.4*height))\n",
    "plt.title(\"Stacked bar of the prevalence of undernourishment in Asia \\n Data from the Food and Agricultural Organization of the United Nations\")\n",
    "plt.legend(loc='upper left', prop={'size':14}, bbox_to_anchor=(1,1))\n",
    "plt.tight_layout(pad=7)\n",
    "plt.xticks(rotation=0)\n",
    "plt.ylabel(\"Prevalence of undernourishment(%)\")\n",
    "plt.xlabel(\"Year reported\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "Heardiseases.ipynb",
   "provenance": [
    {
     "file_id": "1BsUDts6TcdjcGabDYtlf3zpYBTrqaaWC",
     "timestamp": 1549604774788
    }
   ],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}