Book_Recommendation_System.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from wordcloud import WordCloud\n",
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#loading the datasets\n",
    "books = pd.read_csv(\"books.csv\")\n",
    "ratings = pd.read_csv(\"Ratings.csv\")\n",
    "users = pd.read_csv(\"Users.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "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>ISBN</th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>Book-Author</th>\n",
       "      <th>Year-Of-Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Image-URL-S</th>\n",
       "      <th>Image-URL-M</th>\n",
       "      <th>Image-URL-L</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Classical Mythology</td>\n",
       "      <td>Mark P. O. Morford</td>\n",
       "      <td>2002</td>\n",
       "      <td>Oxford University Press</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002005018</td>\n",
       "      <td>Clara Callan</td>\n",
       "      <td>Richard Bruce Wright</td>\n",
       "      <td>2001</td>\n",
       "      <td>HarperFlamingo Canada</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0060973129</td>\n",
       "      <td>Decision in Normandy</td>\n",
       "      <td>Carlo D'Este</td>\n",
       "      <td>1991</td>\n",
       "      <td>HarperPerennial</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0374157065</td>\n",
       "      <td>Flu: The Story of the Great Influenza Pandemic...</td>\n",
       "      <td>Gina Bari Kolata</td>\n",
       "      <td>1999</td>\n",
       "      <td>Farrar Straus Giroux</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0393045218</td>\n",
       "      <td>The Mummies of Urumchi</td>\n",
       "      <td>E. J. W. Barber</td>\n",
       "      <td>1999</td>\n",
       "      <td>W. W. Norton &amp;amp; Company</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         ISBN                                         Book-Title  \\\n",
       "0  0195153448                                Classical Mythology   \n",
       "1  0002005018                                       Clara Callan   \n",
       "2  0060973129                               Decision in Normandy   \n",
       "3  0374157065  Flu: The Story of the Great Influenza Pandemic...   \n",
       "4  0393045218                             The Mummies of Urumchi   \n",
       "\n",
       "            Book-Author Year-Of-Publication                   Publisher  \\\n",
       "0    Mark P. O. Morford                2002     Oxford University Press   \n",
       "1  Richard Bruce Wright                2001       HarperFlamingo Canada   \n",
       "2          Carlo D'Este                1991             HarperPerennial   \n",
       "3      Gina Bari Kolata                1999        Farrar Straus Giroux   \n",
       "4       E. J. W. Barber                1999  W. W. Norton &amp; Company   \n",
       "\n",
       "                                         Image-URL-S  \\\n",
       "0  http://images.amazon.com/images/P/0195153448.0...   \n",
       "1  http://images.amazon.com/images/P/0002005018.0...   \n",
       "2  http://images.amazon.com/images/P/0060973129.0...   \n",
       "3  http://images.amazon.com/images/P/0374157065.0...   \n",
       "4  http://images.amazon.com/images/P/0393045218.0...   \n",
       "\n",
       "                                         Image-URL-M  \\\n",
       "0  http://images.amazon.com/images/P/0195153448.0...   \n",
       "1  http://images.amazon.com/images/P/0002005018.0...   \n",
       "2  http://images.amazon.com/images/P/0060973129.0...   \n",
       "3  http://images.amazon.com/images/P/0374157065.0...   \n",
       "4  http://images.amazon.com/images/P/0393045218.0...   \n",
       "\n",
       "                                         Image-URL-L  \n",
       "0  http://images.amazon.com/images/P/0195153448.0...  \n",
       "1  http://images.amazon.com/images/P/0002005018.0...  \n",
       "2  http://images.amazon.com/images/P/0060973129.0...  \n",
       "3  http://images.amazon.com/images/P/0374157065.0...  \n",
       "4  http://images.amazon.com/images/P/0393045218.0...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#print 1st five rows of books\n",
    "books.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ISBN', 'Book-Title', 'Book-Author', 'Year-Of-Publication', 'Publisher',\n",
       "       'Image-URL-S', 'Image-URL-M', 'Image-URL-L'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking columns\n",
    "books.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(271360, 8)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking shape\n",
    "books.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 271360 entries, 0 to 271359\n",
      "Data columns (total 8 columns):\n",
      " #   Column               Non-Null Count   Dtype \n",
      "---  ------               --------------   ----- \n",
      " 0   ISBN                 271360 non-null  object\n",
      " 1   Book-Title           271360 non-null  object\n",
      " 2   Book-Author          271359 non-null  object\n",
      " 3   Year-Of-Publication  271360 non-null  object\n",
      " 4   Publisher            271358 non-null  object\n",
      " 5   Image-URL-S          271360 non-null  object\n",
      " 6   Image-URL-M          271360 non-null  object\n",
      " 7   Image-URL-L          271357 non-null  object\n",
      "dtypes: object(8)\n",
      "memory usage: 16.6+ MB\n"
     ]
    }
   ],
   "source": [
    "#checking information\n",
    "books.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ISBN                   0\n",
       "Book-Title             0\n",
       "Book-Author            1\n",
       "Year-Of-Publication    0\n",
       "Publisher              2\n",
       "Image-URL-S            0\n",
       "Image-URL-M            0\n",
       "Image-URL-L            3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking null values\n",
    "books.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removing null values\n",
    "books.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking duplicate values\n",
    "books.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "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>ISBN</th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>Book-Author</th>\n",
       "      <th>Year-Of-Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Image-URL-S</th>\n",
       "      <th>Image-URL-M</th>\n",
       "      <th>Image-URL-L</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>271354</td>\n",
       "      <td>271354</td>\n",
       "      <td>271354</td>\n",
       "      <td>271354</td>\n",
       "      <td>271354</td>\n",
       "      <td>271354</td>\n",
       "      <td>271354</td>\n",
       "      <td>271354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>271354</td>\n",
       "      <td>242130</td>\n",
       "      <td>102020</td>\n",
       "      <td>200</td>\n",
       "      <td>16803</td>\n",
       "      <td>271038</td>\n",
       "      <td>271038</td>\n",
       "      <td>271038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Selected Poems</td>\n",
       "      <td>Agatha Christie</td>\n",
       "      <td>2002</td>\n",
       "      <td>Harlequin</td>\n",
       "      <td>http://images.amazon.com/images/P/014062080X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/014062080X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/014062080X.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>632</td>\n",
       "      <td>13902</td>\n",
       "      <td>7535</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              ISBN      Book-Title      Book-Author  Year-Of-Publication  \\\n",
       "count       271354          271354           271354               271354   \n",
       "unique      271354          242130           102020                  200   \n",
       "top     0195153448  Selected Poems  Agatha Christie                 2002   \n",
       "freq             1              27              632                13902   \n",
       "\n",
       "        Publisher                                        Image-URL-S  \\\n",
       "count      271354                                             271354   \n",
       "unique      16803                                             271038   \n",
       "top     Harlequin  http://images.amazon.com/images/P/014062080X.0...   \n",
       "freq         7535                                                  2   \n",
       "\n",
       "                                              Image-URL-M  \\\n",
       "count                                              271354   \n",
       "unique                                             271038   \n",
       "top     http://images.amazon.com/images/P/014062080X.0...   \n",
       "freq                                                    2   \n",
       "\n",
       "                                              Image-URL-L  \n",
       "count                                              271354  \n",
       "unique                                             271038  \n",
       "top     http://images.amazon.com/images/P/014062080X.0...  \n",
       "freq                                                    2  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#summary statistics of the numerical columns\n",
    "books.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#converting Year-Of-Publication values to neumeric\n",
    "books[\"Year-Of-Publication\"] = pd.to_numeric(books[\"Year-Of-Publication\"], errors = \"coerce\")\n",
    "books.dropna(subset = [\"Year-Of-Publication\"], inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         2002\n",
       "1         2001\n",
       "2         1991\n",
       "3         1999\n",
       "4         1999\n",
       "          ... \n",
       "271355    1988\n",
       "271356    1991\n",
       "271357    2004\n",
       "271358    1996\n",
       "271359    2000\n",
       "Name: Year-Of-Publication, Length: 271354, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books[\"Year-Of-Publication\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#histogram of the Year-Of-Publication column\n",
    "sns.set()\n",
    "sns.distplot(books[\"Year-Of-Publication\"], bins = 30, kde = False)\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "plt.title(\"Histogram of Year-Of-Publication\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#box plot of the Year-Of-Publication column\n",
    "sns.boxplot(data = books[\"Year-Of-Publication\"])\n",
    "plt.title(\"Box plot of Year-Of-Publication\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#bar chart of the top 10 most frequent authors\n",
    "top_authors = books[\"Book-Author\"].value_counts().nlargest(10)\n",
    "plt.bar(top_authors.index, top_authors.values)\n",
    "plt.xlabel(\"Author\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.title(\"Top 10 Most Frequent Authors\")\n",
    "plt.xticks(rotation = 90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#bar chart of the top 10 most frequent publishers\n",
    "top_publishers = books[\"Publisher\"].value_counts().nlargest(10)\n",
    "plt.bar(top_publishers.index, top_publishers.values)\n",
    "plt.xlabel(\"Publisher\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.title(\"Top 10 Most Frequent Publishers\")\n",
    "plt.xticks(rotation = 90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlUAAAGpCAYAAACkvsNNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOy9d5xcd33v/T5tetuZ2d67dtW71Wy5N2zANpiElkDIhZgQMDcPyU0e50LIE5JQgwM3CSXJJYCxMcW44W65qPe6vfc2vZz2/DGrlVZbJa1kA/N+vfSy59TfOTtzfp/zrYJpmiZZsmTJkiVLlixZLgvxrR5AlixZsmTJkiXLbwNZUZUlS5YsWbJkybIEZEVVlixZsmTJkiXLEpAVVVmyZMmSJUuWLEtAVlRlyZIlS5YsWbIsAVlRlSVLlixZsmTJsgRkRVWWLFmyZMmSJcsSkBVVWbJkyZIlS5YsS0BWVGXJkiXLbxnZms5Zsrw1ZEVVlixz8KlPfYqNGzfOmKBOnTpFfX09q1evJpVKTVvX1NREfX09P/rRj67ImOrr6/nmN7+54HbhcJiHH36Yu+66i7Vr17JlyxY+9KEP8cILL0zb7vHHH6e+vp6enp4rMt4L+eY3v0l9ff282zQ1NfHud7+bFStWcMcddyz5GD74wQ9SX18/7d+GDRv40Ic+xN69e5f8fAB79uyhvr6ePXv2XNT2C/3bs2cPN9xwA3/xF38xte+3v/1tvvvd7059Xsw9z5Ily9Igv9UDyJLl7crWrVt59tlnaWlpoba2dmr5rl278Pl8TExMsHfvXnbs2DG1bt++fQBs3779qo/3LK2trXzsYx/DMAw+9KEPsWzZMuLxOE8++SR/8id/wgMPPMCnPvWpt2x8C/Hwww/T29vLww8/TCAQuCLnaGxs5G/+5m8A0HWd8fFxfvSjH/HRj36Uxx9/fNrf+61g+fLlPPLII1OfT5w4wRe+8AUeeughli9fPrW8pqaGhx9+GJfLNbXs61//Op/85Cev6nizZMmSISuqsmSZg61btwJw8ODBGaLqlltu4c0332TXrl3TRNX+/fspKyujtLT0qo8XQFVVPv3pT6MoCj/84Q+niZKbbroJn8/Hv/zLv3DjjTdOm5zfToyPj1NXV8fOnTuv2DlcLhdr1qyZtmzr1q1s2bKFxx9/nM997nNX7NyL4cLxnbWI1tTUzBh3Y2PjVRxZlixZ5iPr/suSZQ7KysooLi7m4MGDU8tisRiHDh1iy5YtbNu2jddee23aPvv372fbtm1Tnzs6OvjUpz7Ftm3bWLNmDR/84Ac5cODA1Pqenh7q6+v5/ve/z+23386mTZt4/PHHAdi7dy/3338/q1ev5tZbb+WNN95YcMyvvPIKTU1N/Nmf/dmsVp5PfvKTvP/970fX9TmP8frrr/P7v//7rF+/ns2bN/PZz36W/v7+qfVzuQwvdEOlUin+/u//nm3btrF27Vr+8i//coa79ELq6+vZu3cv+/bto76+fupeXM59XCx2ux2r1YogCNOWP/XUU9xzzz2sXbuWbdu28dBDDxEKhaZtc+zYMT760Y+yefNm1q1bx8c//nGam5vnPFc6neYjH/kImzZt4sSJExc1zgs5/76fdfM9/PDD87r8nn/+ee655x5WrlzJtm3b+OIXv0g8Hp9an0ql+PznP8+1117LihUruO222/je9753WePMkuV3gayoypJlHrZs2TJNVO3evRtd19m6dSvbt2+ntbWVvr4+ADo7OxkaGppy/bW0tHDPPffQ3d3NX//1X/PlL38ZQRD48Ic/PCN252tf+xof/ehH+eIXv8g111zDiRMn+MhHPoLL5eIb3/gGH/7wh3nwwQcXHO+rr76KJElcd911s64PBAI89NBDrFq1atb1v/jFL/jIRz5Cfn4+X/3qV/nLv/xLDh06xP3338/o6Oii7tlZ/vzP/5xHHnmEj33sY3z9618nFArxH//xH/Pu88gjj9DY2EhjYyOPPPIIO3fuvKz7OBemaaJpGpqmoaoqw8PDfPWrXyWdTnPvvfdObfetb32Lz3zmM6xevZp//ud/5oEHHuDZZ5/lgx/8IMlkEsh8J37v934PwzD4u7/7O774xS/S39/P+973PlpbW2ecW9M0PvOZz3Ds2DG+973vLanF8KzL8L777pvmPjyfJ554ggceeICqqir+5V/+hU9+8pP88pe/5E/+5E+m4gf/7u/+jldeeYXPfe5zfPe73+XGG2/kH/7hHy5aqGbJ8rtG1v2XJcs8bN26lccee4zh4WFyc3PZtWsXK1euxOfzsWXLFmRZZteuXdx///3s27cPWZanJvOHH34YRVH4r//6L9xuNwA7d+7kHe94B//0T//Eo48+OnWeW265hfvuu2/q85e+9CX8fj/f/va3sVgsAPh8Pj7zmc/MO97BwUFycnJwOp0Xfa2GYfBP//RPbN26la997WtTy9etW8cdd9zB9773Pf78z/98Ucdqbm7m2Wef5aGHHuL9738/ADt27OCuu+6ipaVlzv3WrFkzFR901s31hS984ZLv41zs27dvVjHz4IMPUl1dDUAoFOLb3/4273nPe6birwDq6up4//vfz+OPP87v//7v85WvfIXS0lK+853vIEkSkImpu/nmm/nmN7/J17/+9al9DcPgL/7iL9izZw/f+973WLFixYJjvRjO3rOCgoIZbkLIiMkvf/nL7Nixgy9/+ctTyysqKviDP/gDXnnlFXbu3MnevXvZunUrd955JwCbN2/G4XCQk5OzpOPNkuW3jaylKkuWebjmmmsQBIFDhw4B8Nprr01ZolwuF6tWrZpyy+3bt49Vq1ZNiYK9e/dy/fXXTwkBAFmWufPOOzl27BixWGxqeV1d3bTzHjhwgB07dkwJKsgIhrOT9lwIgjCva28+2tvbGR4e5q677pq2vKysjLVr1y46cw0yblCAG2+8cWqZKIrceuutFz2uy7mPc7F8+XIee+wxHnvsMR599FG++93v8uEPf5ivfe1rU4Ly8OHDpNPpGfdjw4YNFBcXs2fPHuLxOMeOHeOOO+6Y9rfxeDxcf/31M+7Zl7/8ZZ544gk++MEPzmktvJK0tbUxMDDADTfcMGWp0zSNjRs34nK5eP3114GMiHr00Uf52Mc+xg9/+EN6e3t54IEHuP7666/6mLNk+U0ia6nKkmUeAoEAdXV1HDx4kLq6Orq7u6dl9m3fvp0f/OAHmKbJ/v37efe73z21LhQKEQwGZxwzGAximibRaHTasvMJhUL4/f5py2RZXtBSUFJSwiuvvEIsFpvTWtXf309hYeGM5RMTE7OO5eyykydPznvu8zkbc3ThNeTm5i76GOcf61Lv41w4nU5Wrlw5bdn27duJx+N85zvf4UMf+tDUNcx17kgkQiQSwTTNebc5n7a2NjZt2sR//dd/cf/991NQULCo8S4VZ//Gn//85/n85z8/Y/3Q0BAAf/VXf0VBQQG//OUvp7Zbu3YtDz30UDYwPkuWechaqrJkWYCtW7dy5MgRXn/9ddxuN6tXr55at337dsbGxti9ezc9PT3TBJfX62VkZGTG8YaHhwHmFUg+n2/GvqZpzgiQvpDt27djGAa7du2adf3ExAQ333wzDz300KznBOYc89nxng3kNgxj2jbnW4zObnvhsc5O6hfD5dzHi6WhoQFN0+jp6cHr9QLz3w+3240gCHNuc/aenuWLX/wiX//615Ekif/9v//3ko17sXg8HgD+n//n/5my1J3/77Of/SwAFouFT3ziEzz99NO89NJLPPTQQ3R3d0+tz5Ily+xkRVWWLAuwZcsWTp06xe7du9m6des0N8/Z+Kof//jHeDyeadaPjRs38tJLL02zVui6zpNPPsnKlSunufZmO+err75KIpGYWrZr1y5UVZ13rNu3b6euro6vfe1rjI2NzVj/1a9+FVVVede73jVjXWVlJbm5uTzxxBPTlnd3d3P48GHWrVsHMOXePD8jsK2tbZpgOhtX9swzz0w71ksvvTTv+Gfjcu7jxXLo0CEkSaK0tJTVq1djsVhm3I/9+/fT19fHunXrcDgcrFixgqeeemqa2zUSifDyyy+zfv36afsGg0ECgQAPPvggL730Ek899dSSjf0sojj3Y72qqopAIEBPTw8rV66c+ldQUMBXvvIVTp48STKZ5NZbb53K9isqKuL9738/d955JwMDA0s+3ixZfpvIuv+yZFmAjRs3omna1Bv7+YiiyDXXXMMLL7zADTfcME1wffKTn+TVV1/lQx/6EH/8x3+MxWLhBz/4Ad3d3XznO9+Z95wPPPAAzz//PB/96Ef5oz/6I8bHx/na176Goijz7ifLMv/4j//IRz7yEe69914+/OEPU19fz/j4OD//+c955ZVX+PSnPz0lkC68lgcffJC//Mu/5DOf+Qzvete7GB8f5+GHH8br9fKHf/iHQEYw2e12vvSlL/HpT3+aWCzGww8/PM0qU15ezv3338/XvvY1NE2joaGBX/ziF5w5c2ah2z2Dy7mPcxGNRjl8+PDUZ1VVeeGFF3jiiSe4//77p9yWf/zHfzyVcHDjjTfS09PDN77xDWpqarjnnnsA+OxnPzv1d/rABz6Aqqr827/9G+l0es4inPfffz8/+9nP+OIXv8jWrVtnWLQuB4/Hw6FDh9i3bx8bNmyYtk6SJD7zmc/w0EMPIUkS119/PeFwmG9961sMDg6yfPlybDYby5cvn7ru+vp62tvb+dnPfnZJMXFZsvwukRVVWbIsgMPhYPXq1TNqUJ1l+/btPPPMMzPW1dbW8sMf/pCvfvWr/K//9b8QBIFVq1bxX//1XzMmuwupqKjgBz/4AV/60pf4zGc+QyAQ4HOf+xxf+tKXFhxvQ0MDjz32GN///vf50Y9+xODgIA6Hg7q6Ov7t3/5tznILAPfccw9Op5N//dd/5YEHHsDlcrFjxw4efPDBqXgot9vNP//zP/OVr3yFBx54gOLiYj75yU/y85//fNqx/uZv/oZgMMgPfvADQqEQO3bs4OMf//i0bLjFcDn3cS5OnjzJ/fffP/XZarVSVlbGZz7zGT760Y9OLf/TP/3TqWt49NFH8fl83HbbbXz605/GbrcDGavi97//ff75n/+ZBx98EIvFwoYNG/iHf/iHOSuzC4LA5z//ee69917+/u//nn/4h3+4pOuYjY9//ON861vf4mMf+9islrD3vOc9OJ1OvvOd7/DII4/gcDhYt24dX/7yl6eK1n7hC1/g61//Ot/73vcYHh4mEAhw33338Wd/9mdLNs4sWX4bEcxs580sWbJkyZIlS5bLJhtTlSVLlixZsmTJsgRkRVWWLFmyZMmSJcsSkBVVWbJkyZIlS5YsS0BWVGXJkiVLlixZsiwBWVGVJUuWLFmyZMmyBGRFVZYsWbJkyZIlyxKQFVVZsmTJkiVLlixLwCUX/zRNE900SWkahmkiCgJWWUIWpYV3XtSxDVTdwL5ABenfRQzTJKGnMEwTh2xFRJjqx/ZWoRsGCU3lbNEzAQGLJGGRLv/7sBgM0ySla6iGPmOdKAjYJAV5nvYdVxPTNNEMA83IfL8v/HypqLpOWtcxTROnxXLFvxOmaRJXVRyKclnnMk2ThKahT/YSzDxLZCThrf9en49hmhim+bYbV5Ysb1dM08QE4loaWZCwyb/99cYv+QpTus6e3h7+4+hBBqIRKrw5fGDlaraVll/2oHTT5PXuLn7edIqv3XzHZR8vrqVI6OlJEWLBIVmnPRQN0yCmpUjqKqIgYpcsOOSl6ye21Aynwjyw7/u0R4f54dZPUusp4K1+xDeNj/BnLz6JKAhYRImg3cF99Su4o6r+qpx/JBnlW6d28cO2AzPWlTp9/MPGd7IhWHZVxrIQqmHwXEsLr7R38I+33Upa13mpvZ2X2tr4h8toA/Jyezs/O3mK1rFRfvXBD6JcYUEbSaX56+ef4xt33nlZx0nrOv/z6adpGR3DZbHgtFj4w3Vr2VZejvVt9BAeTyRoGhmhMS8Pr832Vg/nd5qzQjyupgnYHZhALJ1GMw1ybPYrdk7NMEhoGh6r9YqcY7FohkFMTaMaOi7F+rYWK4PxKH/4wmPcUlbLg2u2L7zDbziX9JcwTZOu0AT/ffwI9zes5KaqapKaijFppkhpGpF0ClU3EARwW6xTb7ORdArThLSuoRoGNlnGa7UhCgJxVWUimcQk8wZ8FsM0SagqkXQaMLHJMm5LRhhF02lSmoZJxnLmUjIPZfE80fR/21/nRx2vE9GS/F75Fj5Zfys26ZxFYCId5x9PPsFzA8fxW1x8qGoHH6z87f/jLzW1OQH+cvN1lLi9U8tUXSeuqSiiiEOxYJgmE8kEVlnGIStohkE4nSJt6IgI+Kw2LJL0O20JSOs6kVSKtK4jAE7Lue90LJ1GNwxUw0DVdayyjMdqRRJFbq6poSE3lwcuaAB8dgKKpFKYpjltH80wiKRSJDVtyqpolxWsskQomcSuKNgVZWpMXqsVWZKIqypJTeUvrr122nlSuk4omUQUBDTDwCJJeG22Ba2EVknmr3bu5LrKCp44dZqfnjhJQ14ehW43E4kEkigSV9UpK5zbap3+XLjgulRdJ5pOk9Q0AJyKgtNimVoXTqVQdR1BEPDabFglCd00GYvHESe3EQUBv92OLIqkNI0zIyM83dSE22pFMwycFsvbejL7bUY3TX588ijfO3qAJ9/7YdK6xlf2vk53eIL/vvu9V+ScBiZtE+P8vPkkn7vm2oV3uIKcGR/mq4d3cXJsiM+tv467KxunzXlvJyRBoNDhwqO8fQ0VS8klPRHSuk7rxDiiADdUVjKRTBJOJXFbrGC10jI+xs9On6Q7EsIwTW6truG2qlpcFitPNJ1mNBFnOB5nJB5nXUEh71u+Coei8IumUzzb1kyO1Y5zsvO8aZqEkkmebm1iT28PqmFQnePn3mWN+O12fnziGAcH+vBYbQzFouwoLeed9Q0EHc4Z45YEkdPhfnTTmFpmmiZpQ6MlOoT4ltt7frNJaTrd4RBpXcciSfhtdkYScX7Zcopyr493VC0jnE7xjYNvck1RKbeU13BkuJ+n2psYjEUxTJP76lawo6TiqrkN3ypMIJpO0T42TtrQGYrGptZ1TUzw0xMnaB8fxzRhe3k572xYhsdm4/mWVjonJhhPJhmJxVien8d7Vqwg4HDMfh7TJKaqPNPUzOudnaQNnRKPh/euWEGV30/72BiPnThB58QEhW4P4VSSW6pr2FBSzNfeeIPbamrYXlFB29gY39l/gE9tuYYyn4+DfX08ceo0e3t7efEjmUbLmmFwqK+Pb7z5JnWBIIPRKHlOJx9et5aaQGBR90U3DMp8XnTTwJjsoPVv+/bjtdloGRsjrWncWF3FXcuWEUmleLqpmT3d3aQNnUpfDveuWE5lTg5tY+P87ORJ2sfHAbihuorbamvxWK0cGxzk6aZmBqIRDNPk3Q2N7KgoZygW47NPP82KvHwGohF0w+RPNm+iMS+P0yMj/OjoUY4PDDIaj1OZk8PtdXWsyM+/jG9BlstBFERyHU6axoYpcLrpCYfwT1qpdMMgkk4RTqcAcClWvFYrSV0jrqqkNA2LJKObBrppkGt3YpVlEqrKaCKObhoookSe04UkCJhAJJXCrsh8YPmaaeNIairRtIqJSUJTUUQJn9V2xUJXTNOkLTxGbzRMOJ2iJTRKTE1n5t+3GYIgkOdw8f2b3vNWD+WqcUmiSjUMJpIJCl2ezAO7tYmfnj7BhsIS/mr7dRS7PfzeilUICOzt66ZzYoLeSIT6QOaP3jw2yifWb6I+kIs5GY8VSqX43uED/Ofd95Jjs/ONfW8SUzMuu5bxUXZ1d/KJdZuIqmle7erg5c527lnWyFgiQb7Txac2bqEzPMEzrc10hCZmFVUFdh/tsWFSuopDOhdzElETDCQmyLG6yLZCvHT6YmEePrQbmyxT5vHy7trlLA/kEbA76ImEiappjg8P4rPaKHN7Seoaj5w5xjWFZbynbiVHh/t5tOkY6/KLsEhXxoT/dkEzDI4ODPL3r7ySsd6lklT7/QDku1zct2IFAgLHBgdoHhmlY2KCVQUFALSPj/P+1atZV1SEiTnvG6oJ9IRCPHHmNJ/dto2UprOrs4Nnmlv4ow3rOdDXh2HCP912GyeGhvjJseOLGv/28nKWBYP8/k8enbY8petEU2k+sn4dNlnhF6dO8UZX14KiyjBNesIhjg8O8WJbGyvy83GeNykdHxzkH2+7DZssTcU2tY2N8VJbGw9cs5mEqvJKRwcvtrbx0Q3r6QpNoEgin9i8iXKfD4eioEgSCVXlpydOsLqggHuXN3JscJCfnTrJ6sLMvW0bHeNvrr+emkCAx46f4FdnmlhdWMiawkL+aP16/vvIUR7ctpUCt3tR9ynLlUMSBMq9Pk6PjuC3OUhoKiWKB9M0GYxFebqtmVOjQ6i6wbJAkHfULKMjNM5r3Z30RSPk2OwIAvRFwnx60zbq/UGe72zl1a52UrqOVZL5w1XraAjkouo6r/d08WTrGZKayvfuvHdqHGfGRnmqpQlZFBiMRcl3unlHTT0Nwdwrct1xTaU1PEqOzU6OzU7T+AhdkQmWB7IC/+3AJYkqQQBZFEkbOj6bnXuXLcciyTSPjaIZBmdGh3mpox3DNBmKx7DJEqp+LoC4MZiZaEVByBwM6I+G8dvt5DkzwmZNfgHPtrWQ1nW6w2Gaxkb4wfHDAFgkmfw8FwAORSHP6STgcBBV0wgIpPWZwcoAFc5c9o+20psYI8eSEV2qqdMWG0YUBCqdubRFhy7llmQBKr05M9x/AA2BPN7s6+LU6DAnR4fIdTgpcXsZjscYisV4pr2J3f3dAJS4vG+bgPIriSKKbC0r4x9vu5WUpk3FVOmGQdvYOM82N6MZBuPJBJiQ1s59p2sDAfJdLkRRgAWsq7ph0B0K0Tk+wX8fPpI5tySxrqiIuKqSUDXynE7cVitFbjeFbtfUvucfOfOysfALhyyKFLrdVOTkEEom8dltjMbjC+6nGQZPnj7DsYFB6oIB7qyvx3Ne3NLGkhKscsYtLAkCSU2jJxymZXR06rosksTy3DwAGnJzaRsb5xenTrE8L591RYWUer2MxOMMRqM819LKgd4+AIpcbhRRIolG0OmkPjfzslfkcXNkoH/BsWd5a5BEkVKPl6axEZYH88h3uDAm456ODA1wamSI9zWuYiwZ57WeLg4M9BKwO3BZLNxdu4xn21u4q2YZL3S0EEom6I9G+OnpE/zFlmup8wd5trWJfz20l6/fdCdWWea2qlrynE6+fXDPjLGMJxOsyS/gM5u2IgpX9vnVEw1xZnyEak+AfKeLF3ta6YiM0+DPQxQy819zaIRcu5NQKkk4nSJoc1DgcNMWHiOuqQTtTspc3inDgqrrDCaijCbjU56GgM2RseBJ52TCWDLOQDxKocONIMBAPDI17/ptdkpdXmRRwjRN+mIReqITwKRV0e6kwpMz6zVphsF4Ks5wIk5cS2Oamd+z12KjwOHCJmdesMLpFCOJGBE1RVrXEAQBl2Kh2Ol921jqLklUWUSJAqeL4ViUkXgM13m+0mg6zf7+Xrw2G3+0Zj0vdLRxaKBv2v7KLDEzNlkhpeukNA1FkibjpzKZQC6LhZW5BfzNjhtwWCwYhpHJKFDTSKKIPM1VZM757C91BDg01s6pUB+N3hIkBDRDpzncj1VUKHMGpokq0zQZTIZoiw6RZ/NS7gygiNNvWUpXaY4MEFYTLPeW4FHs067t+EQPcS3FWn8FAjCQDDGSipDSVURBwClbybd5CVinv/mapklESzKYDBFKxzFMA5tkId/mxcBEmGcyNUwzY31LhoioCbRJU7ZHsZNv8+KWbbPGLPXEx+hPjFPhzCVgdTOejjGYDBHTkhimiVWU8VtdlDoCFxXzVJsT4NBQHwcHe5lIJanyleCx2oirKl6rlfctW8WmwtJMjI+u/06IqrmIqyqHJyfy/7ljO7u7u3m9s3PaNrIkTgqqhTkbk1UTCPD/Xr8Tp9WKOWnpiasqkiAQ07SpzMGz4k0SBAzTRDUybrjheJy0bsx7rrPns8jn/R4Xp8WwSBL/Y9MmrqusmGP9dOe8KAg4LRYa8/J46IbrM88F05yyNBe63Xxo7Rraxsd59Nhx+iMR3rNi+VSM1zuXNbC1vGzady6STmGV53E7C5lfnX4Frdm6bhCLJgmHEsRjKZJJFU3TMQ0TURKRZQmbTcHpsuLLcWKzWxb8LhiGybHDnahpDYtVoWFFCbIskk5pDA6EmBiLoes6NruFYK4bf8CNJItT+4YmYgwNholHkwiCgMNpJTffi8drR5Jm/lYNw2BoIExP1wgATpeN2mWFyLKEaYKmakxMxJkYi5FMpNG0TGybxarg9tjICbhwOCyICzwHBDJuvfbxcdpD49QHcumJhEhoGn3RMGfGRvhZ00kAbLJMnsOFbhq4LVYCdjt5DgcORcYmK6iGQWd4gjynE7/NjigIXFNcylf2vr6ov1uuw0l1jn9Jst/nwzRNOiMT9MXCbMgrptGfx6u97bSGRomraVwWK+OpBA/tfo5rCkrpiYY5ONzLCn8+765eziPNR2kNjbEikM8XNt+M3+YgpWscHOrlp63HaZoYIaVn5uBlvlzeVbWcDXnFU6Jm72A3/35yH++uWo5pmrzS205fPIxqGGwvLOfPVm/DZ814GXYPdPF/zxwkoal0R0PcV7OSL2y+ecY1pXSNM+PD/KrjNAeGe4mm0whkXtA25JfwB8vWT4mxV3vbeLrzDP3xCDE143J1yBburV7Be2tXThOAbxWXNAJFkqjO8VPgcvPoqeNU+fx0hSdwTwbTuixWhmMx9vf3cnJkiOikQJqPIpebPIeT59pbyXU4aB0bmzpXhdeHXZZ5tq2FApcLRZQocXtwWi7OZ31WFJ0K92UevgKohk5zZBCHbKHY7p+2vW4avDp0mn84+QR3F6/nT+tvwW91TdtmPB3j66ef5tB4J/+66aOs81dMEzxfP/00TZF+frTtT+mKjfBE70GOjHcxocaQEKly5fHe8mu4o3jN1D6maTKQDPHy4EleHDxBW2QIAxO/xckGfxU78pahzVI64OyYO2MjvDhwkteGT9MVG0UzdayiTKUrjx15y7gur4ESh3+G2+iZviP8sON1PlV/G/WeIl4aPMGu4TP0xcdRDQ2vYufGgpV8puF2pFlEXSSdYk9/D60TY1iljAuwyOXBqVgoc/t4su0MxS4PlV4fApkHUY0vwOGhAVKTb0deq416fxBF+O2OqZoLURBwKhbSus6B3j5ODA4RTqYWte+poSE6JiaIpVUO9feT63RS4fNR7vORY7fzbHMLhR43sihOWqXcFHk8dHR18WpHB6PxBMPxTGyX02LBb7dzengERZI4NjBI4rzkkVPDw/SFwyQ0jYN9feTY7ZR6vXMNbclRRJEKnw+nxcKzzS0UuF0okkSxx0OR201fOEL7+DiyJFLq8yKQeRsucLup9gc4NjiIbhpTwe11weCC53QqCi6rhd3d3dQHg5R4vfiWIAvQNE2SCZWBvnH6esdpbxmkrXmI/t4xRkcixONpdM1AsUg4HFb8QTclZX6WNRazbHkx5VW5OJzWOV90dN3gSw89zuhIlNx8D1/5P3+Ax2Nn/+5WnnvqCKdP9JJIpMnN87BhczU33r6KmroCREmku3OEl587wRuvnqGvexRRFCkozmHT1hpuvHUlJeUB5AuEqKrq7HrpFP/+zecAqF1WyN9++ffw5TgYH4tx4lg3h/d3cOZkL8ODYeLxFLIk4vM7Ka/MZeWaclasKaOiKherbf5yHdKkuD46NMCW4jJ6IiEkUcBtsbKhoJj/ec12HIplqlzHm71dCJMlMS48rluxkNQ0kpNlSQZiUXLsiwtDkAQB+So8sxKaRmtoFAGBKo+fak+AUpePk2ND9MbC1FvOuRxf7Gnj/tpVFDhc/KDpMAOJKPdULWdNsIj/c2IP+4Z6uKmkhuaJEb5x9A0Mw+DdVcspcLjpjk3wbFcz/3p8D44121mXVzx13Jiq8nTnGcrcPrYVVVDocDOSjOGdTDI6yy1ltazNLaQrMsEDr/xy1usxTZP28Bj/5/geTo0PcW1RJauDhdgkmd5YGI/Fiv28ZJCxVII8h5stheXk2V2E00keaznO14+8xoa8Yhr8eVfgrl8clyzrch1O3te4kidbmnituxO/zc6WklLcVisbC4t5tauDvX09FDjd1PuDUynIFV4facOYoSitsswnN17Dky1N9IQtrM4vYDQRR5z0m9/XsIJXu9ppHhsl3+kkYLfjs9mo8wemMnCcisLy3DyCcwTtBqwuAlYXZ8J9mJhTQert0WGKHD5cypUxH2qGwYsDJ3hx8ASSILIqpxRFlIipKSRRmpaJCBBSE/yq5xCPdu3GKims81cStLpI6ipNkQEGkiHG07EZ5zFNk/7EBP/e8iK7hs6wzFPIjrx67JKFkBqnPTrMf7a9Sl98nA9WbafIPrsp9kSoh9eHmxhJhSm0+ah1F5A2NMbTMdzK7JOIx2KjPifIkaF+REHAa7UiCRUUuTxAxjUoCgI5NhtFzswyWRR5X8MqnutoYf9gL4ZhsqmwhLqchSe4pcY0TUyTyYft3NvpuoGm6UiTVoN0OpNdJsvSghYD0zRRVR1NNyj2eFhbWAhkhFSh282awkIcFgtriwoZS8TZ29NDwOFge0U5fkfm4V7i9eC2Tn/QnOXE0BB9kQgbios42NdHXSBAZU5OJlh87RpeaG2lbXyMnMnfjiSKrC0qJKamOdTfj8dixTlpdVYkidvq6nilvZ093d3UBALYFRnHZALJyaEh+sMRtpSWsr+3j2q/n3Kfj1ynk43FxVPHKPN5p8Y+F6IgsK64iDzXzDhIgMa83BmB+IIgUOL18r5VK3m5vZ3WsVGCDif+yUlwIpngcH8/SU3DrihsLy8n3+VCFkXes2I5L7S2crCvD90w2VBSTE0ggENRuK4iY1EWBIE8l4s1hUVT5yxwu9laVs7+3h6SmobLYrlsUWWaJqmkynNPHWHP602cPNZLLJqcdVs9YZBMqIyNRmk508+rL5ykdlkRt9+9lm07l+Hx2he0IGuqTkfrEKYJ3/s/L9LXPTa1rrd7jMGBEGNjUT7wkWux2hR+9sgeXv71ceLxcy/G7S2DdLQOMjoc5iOfuJFArnve86aSKv29Y8RiSZ554jAvPnuM0eHItG3SQDyepq9nnL1vtLB8dRl3vmsdm7bWzCsYFUmiypfDm73d3Fe/HMhkr1b5/JwaGebp1ib8dgcOWaHKN/vz7iwVvhzynC7e7O2ixeHk8EA/76hZlhmfrnNosI8Tw0OMJZLs7esh3+mi3Oub95hLTV88zMnxIYqdHqq9AYJ2J1VeP091nqE7GqLWd+7Z2eDP5fbyOgzT5BftJ8mzu3hPzUrimsq/nthDR3icuKbycm87fdEwD226kZtKa4CMscFrsfPNo6/z5kAXq4KFUx4Ew8xkHt9fu4pVgcJZYzoFISNs3RYrdtkyp18lpevsHezh8Eg/761ZyUcbN87rxntf7SpkUZp2zqDNySde/hlHR/t/s0WVIkk05ubRmDvzIuZaDrB1njpWq/IKWJVXMGO5VZZZX1jE+vMecGe5uapm6v+DDid31zXMO+46dyGvDZ8mqqXwKg5GUxHCapzr3Q2L8VJcEmlD4/HufWwJ1nB3yXqq3HnIgkRESzCaiuJTpk8Yxye6eWnoBIIg8O7SDbyzZD1+iwvDNDge6uFfmp4joaszzqOZOk/0HOTlwVNsDdbx0ZqdLPMUIgoiMS3F68Nn+I+2Xbw8dJIqVy73lG1CmsX//9LgSVZ6S/lg5Q7W+ytxK3Y0U6cnPoZVlGfNkix2e/irLdfPeQ9CqSQBu4O6nOC0rJg8h4v3N665iLu59Oi6wcmTvUiSiNWqUF099w8zHk8zMhzG7bETDLoZGgqj6wYFBV6s1oUtpwMDIVRVY011JvgZMr+l1QUFrJ4MRK/2+6eC1i9kfXHxrMsB7luxYtbliiSxIj9/1ky1gMPBOxsyv5n+SIRHjh6bWrc8L4/lebPfi3uXL591eV0wOGX1cSgKW8oWrg2mSBIfXLNmzvXvWLZs1uUWSWJN4bn7eD4rCwpYWTDzWQKQ63TyvlWrZiy3yTIPbj9XSuXC63dZLNxYXcWN1VVzjvVSSE6KqjMnz4VJCKKAw2HB7bFjn3SFaapOJJwgHEqgaTqGYXLmZC8TY1EUi8z2ncuwO+ZPW0+nNQ4f6KCrfZixkQil5QFAyFjEYik0Vefw/g7KK3ORZYk3d50BQaCkPIAoCgwPhknEMzEvLz93gmu217NlRx2KZe6pJJFIc/RQF2MjEZ7+5SE0TcfltuH1ObDaMsVvo+EkExMx1LSOrhscPdjB+GgE0zDZcm39jOsSgKocP6Zp4lAU3BYrQYeTTYUliIJAYzAPzdDZP9BHdyREictDqcdLvtOFJIgE7A5W5uYTtDtZnVdAgdOFU7HwweVreL6jhf5ohIDDzrvrGoHMi3HL+CjRdIq1+YWcHhtGmHzh99vsrMjNnzMDd6kwTZOeaIiTY4Pk2V280tuORRLpiowzkojSGhrlmoLSqe3z7BmvjkNWEAWRMrcvU1hXkrGIciYTUktzYLgHzTRoC43xSPLI1P6nxodJahqD8QgJTZ0mdjbml1Lq8l12GYdQOkF7eIyAzcHa3OIF46JUw6A5NMpgPEpUTaPqOv3xCAYwnkpc1liWirfeAXmVafBm3Fpt0SFW+cpoigygiBL1nkJi+sJuyktBALyKnT+quX6a+9CrOPBeIKjShkZTpJ+O6DDb8+q5Lq9hKt5KEiRW55RzU8EK2qNDjJ1nrTJNk7Ca4Jc9B3DKVt5XsYVG77kJ2Clb2RCo5kx4gP9se4VT4T4iagKfZfbSE+8s3cC23NqpGDKLIFPluvi3gIlkklNjQ7zR10Wh002d/+pboRaiq2uEo0e7qagIYrUqRCJJOjuGsdoUiopySKVU+nrHcbpsKLLIwECIRFJF1w3a24eJx1MMD4cpLvLjy3HQ3zdBLJ6iqCgHp9NKR8cwqqpTVhZgeCjj7sjJcZJOaRQU+t7qy8/yFiIIAnaHhRtvX0Vr0wAut52yiiCFxTkUFucQyHXj9tiRZZFUUmV0JEJr0yBHDnYw2B/KxH0OhHjmiUPULiugvDJ3QavR3tebSSbT3PqONSxfVQqCwOH97ex68RSRcIJIOMGul06BCRaLzLU3LqdxZQmSJHJgTxuvv3xqUtgZ7Hm9mbUbK+cVVZFwgpd+fZyRoTB2h4Xlq0upayiioNCHw2nFNEzGRqK0Ng9w5GAHfT3j6LpBd+coj/3oTfKLfCxrLJ6K84JMkPrmopKpz2dfxt/TkHmxcCgK1xSXcU3xTFFfN/m+UubxAVB5ngWr3Ovjo6s3zNjHoSi8/4JSCmcp9Xgp9Vx513dS12gLjTGeTCAg8JOWo1PrDNPk2OgAg/HolMdFETOxy+JkLKBNkjmbfiIKgAm6YTKeTBBOJ3mhp2XG63KNN0CJ24d5gcnBZ7VNHu9yr0knqqZxKhY8CwiqiVSCX3Wc5s2BrkzMlSCCAOFUCsh4Gt4O/A6KquLJelV9LPeWcCbcj1VSqPMUcmi8c+EDXAKSILI+UDkjHms2omqSoWSYlKFR4cwl3z7zx9roLcYhW6eJKoCu2ChDqTAu2cb+0TZOhnqmrddMg7boICaZWLCxdGxWUVXnLqBslqD8S0EzdUKpJIVOFxsLSsi1z+7ieSs5fLiL1avLWLGihFRK5fDhLmKxFIoi0dMzhs1mIZVUGRvP3G9DN+noGCGRSKNpBvF4GkmKMzEex+GwklY1ZFlkaCiMy2UjFkthtcrs3dtGjs/B6FiM48d6KC9/ewlMp8XC+uIi8pwLf0+zLB0Wi8yW7XX0dI5SUuqnrqGIkvIgHu9Mt6lpwthIhBeePcavHt/PQN8EAKdP9NDdOUpxaQBFmTu2R9MMhgZDbL22nvd/5Fp8OU5M06SiMpeJ8RhvvHIGgM62YWx2hTvfvYF7f28zwdyMy76mroCujmFOHu3GNKHpVB/qpAt8LpIJlY62IXx+Jzfdtorb7l5LSVlghrs8NBFn964mfvbIHjrahjAMk5YzA7z8/AlKygJ4fVfWEjQbumHwzOunGA8tnMG6EAVBDxuXl+F1X1q5mKFElBNjg1R7A/x+3Wr8tnP344n2U5wYG6IvFp5yAV6YGzyb2D4bw5lvd/GJldfgmSUEJmh34pCVGfstRVVHRRSxSQppXSOhzfS+nM+egW7+/cRe1gaLuKuygTK3D4escGZihNcHrszcfSn8zomqKlceTtnKqVAveolOU6SfoNVDnu3KvWmIgkD+Io+f0NPEtExgslu24ZBmmvN9FueMoEgT6E9MABDXUzzatXvOc3gVOxZRnlYE9Xz8VhdWcWkK1wXtTm6rrFuSY10pdM1AmXwLTqU0OjqGueWWlUQiSR57bC91dQXs2LGMzo5hjh/vweOx09k5Ql6eB5/PgaKINDYW8+qrZ2hqHmDnzgZqavL54Q/fJJVSue22VRQX5/AvDz/PNVtq6OkZIxxKsOPaq9PCZ7F4rFZ2VFS81cP4nUMQBIJ5Hj78xztxuWfPzD23LQRy3dx0+yo624cZGY6gqTpqWqezfZg16ytQlPknbafLxtZr6/HlOKfOX1DkY+WacnbvasKYbI1RVOJn7YZKAkHP1L6FxTkUlwZoPt0/mT04gapmArvnG7fFIrNyTRnvfM9G8uewznp9Dq67qZGJiRg/e2QPYyNRAF578SQ3374Kt8e2YEbgUqPrBj9+5iDNncOXfawNy0upLg1esqjqi0VomhhhY14Jt5cvm1bNP5xOcXR0gJbQKCWuxc9ldllhdTATTK4ZBmvziqeJJd00wMxYBq8EXkumZuHLva2cGh9ibW4Rdnn2uefE2CATqSTvrGpke1EFymSm5bNdzVdkbJfK75yocsk2yp1BzoT6M6mesVF25C275MwNzdSnKj/Px1Km2i70juBVHHyi9qZ5H3L5Ni+51tkLGEqC+LZteXAlWLGyhAMHOgiFEyiKTG6uh0OHOhBFkcrKXBx2K4cOdqBpOv6AC1kSKSz0EYsmSSRVUimVI4e7EASoqsyjv2+C8bEYXq8dlyuH5uYBenvHKSrOxCAEAy58PgcnjvewYmXprGPKuHOTdMfG6YuFGEnFCKtJknqm8bAkitglBa/FTp7NRanTR5nLj0X83W7xc7EkdZXe2ARdsQmGkxEmUgkSuopm6IiiiFWU8Sg2AjYnxQ4fpU4fOdalt5hIkojbs/jJ1h9wUV2bz4HdrYyNZsTH6HBkKnFiPmw2hZr66XFoVptCMNeN02UlEs4EypeUBSgo8k1L3BAEgdw8NxaLTDqlkUyoJBILh034/E42XlMzp6CaGpvdwvadDezf3cr4aBTThNGRKKeO91BWEcRm/91odXIhSU2lPTxGQlOpzwnOaI+0LCeXPLuLI8P9LPcvvgioU1G4oaSa3QPd/MepA4ynEhQ7PZjASCJGQlNZHSy86ABw3TAYTcVJ6Rq90TAGJqFUko7wOFZJmnT32XDICutyi3m5t41ftp/CME3qfbkokshEKolqGGzMK6HQ6abQ6cYqyewZ7MZtsSIi0BoeY1dfO2+nIjxvC1FlmiajQ2H62kcIT8RIxjK1SxSLRHVjMRX1MwNRL4dGbwk/7d7L0YkuEnqaBs/MAHhgWtqtgTGrZSeUTpA2Fn6QLRa7ZMEpZ0ywUS1JQlenPp8lrMZnjEWAKVehRZS5Lq+BoC1b9XkxVFfnE4kksVoVXE4rpaV+urtGsdoUGhuL0XWDgYEQDocFr9eOaWasj8lUZkLRdZN0WqO8PEhOjpPBwRDJlMqGsko8HjtdXaMYhsm2bXUZQVbkw2qVCYVmBlamdY2O6Bj7Rro4PTFId2yc4WSUiXSCmJYmrWvopok0GXDqUqzkWBwU2N1UuAOsyilia14VOdaFM8HmY/dQB28OtRPTZk6YtxQvY22gZOpNcanpj4d5vPMI46npLhcBKHJ4+cO6ay77HAOJMAdHujky1ktndIyBRITxVJywmiRtaGiGgSiIKKKES7ZMilc3JU4fjTkFbAyWUeUOXPG6RPOR43fhcFqnRFUinsJYRC0xi0UmN88zbZkgCFhtCk6nbUpU+QOuWV1uDod1WnxTMqEuaKny5ThoWFky5/rzKSz2UVmdR9OpPhKTWYenjvWw8+YVV0RUpXSVjtgAE2p02gvyBv/bx5I8moxzbHSAoM1BY85M0VTq8lLu9rFvqIehRHTRx5VFicacPP54+UZ+1XGanzQfRZyMw5IEkSqP/5Iy6oaTMf7xwCsk9Ewf4JSucWC4l78/8BIWSWZ1sJA/atyIIAgsy8nlo40b+HnbSZ7qOMOvxWZkMZMOVevLZfnk+bcXVnBybIg3Bzo5PjqITZZxKhZuLaujNTw2/4CuIm+pqNI1nTNHutn/ymm6WocYHQiRiCZJpzR03cDptnH3h7fPKqrSSZWJ0SjxyfRjt9eBN+BCniee4CzLvcX8uFPnlz0HkQWJZd7ZM6pEBCyihCSIRNQEYTVBrm36w+hMuG/W8gaXiluxkWfzYBVl2mPDDCQmqHZP/xGdCfcT12fWLip3BsmzeYhrKV4ZPsW9pZuWbFzzkdQ1Dgz38HxvE045U6uszJXDjsJK8u1u+uNh9g510RmdYEdBJWuDc2ewvRUoisSGDZUZsSQKmCYEApm4IkHIfC4o8E59no2zRScFQZh0q5z7vMLrmPb5LLm5575LumnQFwvxbO8p3hxqpyk8zEgyOmehSc000bQ0MS3NYCLC6dAgylA7rzh9vNTfzK0ly7i+sO6ShU9MS/FCXxNN4ZkdBiJqkgZvPorlygiK3cMd/LB1P8PJ6ZODLIj8fvXMIOKLIZJO8upgKy/3N3NsvJ+eWKb34mzopoGuGyR1lZFUjNbICNKIwKsDLl725bMtv4obi+oodc6fqn+lkBUJ8bzim7pmLBisKwiZrELLLJmqsixO+5s6XbZZswllZXpKu6pq855XEMDttlNQ5Jt/cJOIokhZRRCXyzYlqjrahlDVpXt5PZ/XR47TEx+mIzZIvi2HweQ4+bYc1ubUIPL2qJfnUqzcXl4PJlR5Z2YG22SF99auYlN+CY05+Xx85WYKHG7ssoIkinxu/XVUevxIooAgSPzVxhuo9WZaRzkUC9eXVFPp8dMeHieiphABt8VKsctLufvc93u5P59Pr9lOtcc/b39Wu6SwuaAMwzQwTY3by4oQxczzToCpUjsATsXCtoIKylw+2sLjhNNJTMAhK5S6vBQ4MsaBUrePjzZuoGlihFAqiSxJlDg9rAgUkGOzU+ryzTkew0ximilEwYkgLCx7DDMBpoogOBEu0ov1lomq0FiMXz+6h70vnqLtVP+UODofl9c+63KAZCLNm88d583nTgBQs6KEW9+7kdLqhU2fjd4SMOHgWDt+q4sK5+wBw4IgkKM4ybd5aIoMsGe0lVybB49iJ21oHJvo5oWBE4ymFv9msBCKKFPnLqTClcvh8U5eHjqF1+IgYHFhYHIm3M9zA8cIp6dbOQRBwKvYuad0I99peZnHu/bhkCxsDtbitzjRTYOImqA3Mc5AIkS5M0CNe/aU84tFM3Q6o+P0xkLcV7WaqJqiKZSJQbivahUOWSHP7mLXQDudUd/bTlTB9PpUmf8K562b/nmu/efafqH9k7rKwZEeftR2gIOj3TPExGJRDZ32yCidkTFOhwY5Nj7Ah2o2kmu7+MDz1f5iqtwBWiLDM9zbrw20MrIshlOxLrmbWDV0dg20EErPtOJZJYm7SmcvG7EYWsMj/KzzCC/0NdEVG0edQ0zNh26aDCYjDA9EOR0a5NTEAPdVrGVtoGTJOgGoaY2hgRD9fROMDkcIhxMk4ilSKQ1V1dBUHU01MsVBh8NT+y0m+UkUBWwOy+y12C4oiKlYpFmD3gVBmPZ1XqhfqiSJuDz2RZUcOUswz4PNfm77oaEwurawFe5SOBnqZLm3gv7EGOtyajEweGnwMIZpIl6xQjsXh9dq49qiynm3WR0sZHUwY4C4UHjdXdk49f+SAO+uypREMYww8eSLKHINFU6NYmsbLsc9c56j1O2jwB5CFMV546y8Vhv3166a7N4QRteHsSg1c25vlWVqfEFqzquzlVZbSKtvYKRiJPRyrJZ1VHj8VHhmispby+aP2zX0EVStE4tlOZLgm3dbAE3rwdCHsVjWIAgX5+5/S0TV6FCYR//PS+x66gjjw5FLamJsc1gy2SfHuklEU/R1jFC3qoSSqrwF3R55Ng9Bm5vBZIhKZy4O2Up8FjcHQLU7n83BGp7sPcwjnW9yYLQdn8VBQk/THR+l2J5Dvt1LT3zpzI8rfaVcn9/ITzr38HjXPo6NdxO0ukgZGj3xMUocfnwWB8Op6QX0ZEHiHcXrGEqEear/MP/a/CJP9R7GKdswMEhoacJaEpuo8J6yTUsmqiBTyLPC5efm4lq6YhN0RceJqhlrmtdip8GXT4G9Y9o+oVSSn3Yc5YaiGircfrqj4zzTfYbfq1mLS7HSGhrhF50nSOs6uXYn91SuvCLxLG8lcS3NC31NfL95N6dDg2jG5U8cBibN4WEGExEG4iE+0bCdKvfFZRr6rU5W+YvZP9LFSGq6JXY4FWP3UAfFDi+WJW4L0Rwepik0PKv1aJm3gGW+S2sae3i0h//buo9XB1pnFWwXi4HJYCLCsz2nGExE+FDNJnYUVF+yZdAwTCbGoux+vZmTR7sZ6JsgGkkSj6dIJdWMkNIzljPDMDEm/3vRCMybHTi1mZAJTl6K+DxJknAsUD/rQpwu6zSvQzyWwtDNBd2Ml0La0Ci0B7DLVvJsPkocufy85/UZZQR+GzHNNKp6BtOMAAKq2kxKrsaiNKDp/RhGCDBIq6dQ5AokqYh44hkEQcRq2YAsVZBKH0Y3hrFaViNLhSRTu9GNCSxKDYq8jETyeSQxD1OuQtcHSabeQBTdWCyrMYwJUumDyFIhFstqJPGcVcwwRjBNFVmuJq0eRZJy0VK96PoAVutmDCOCYYxgGOPYrDsQBAeJ5IsIogWrZT2YJsn0PgRBQUBB1TrQtFZkuQJFaUDTulC1MyhyNRZlOWn1BJreiSSVACaGMYamd2OoYayWNQjC4l4KrrqoSsRTPPGfr/HyLw8SGpvpNpMVCU1d+A3SYlUorc6jsCxA28k+RofCdDUPEoskcS0Q8ClP1qUaSUVo9M1vNcm3eXlP2Wacko03hpvYO9qCKIgErW42B6u5vWg1P+p4k6FkeN7jXAwexc7dxevxKHaeHzjB0YkuDNMgaHWzJbeWO4vWElYTjI+0TNtPEATybR7+oPpa6r1FvDp4iubIACE1jiiIeBUHpU4/1wRqqHUvbZxaStN4daCV8T1xEppKgcPD7aXzF2JNGRpHR/tZH8zEWoTTKQ6P9nFf1SpUQ+e7p/fyjvJGBEHg6Ggfj7Ud5WMNlx9P83Yhoam82N/EwydfoSM6Nu8j3CrJ+Cx2vIoNiygT19OE0gkm0sk5szjDapJne0+R0NJ8duWNVLoDix6bKAhszivn2d5TM0QVwJM9J7irbMWSi6o3BtsYmcXyKyJwZ+nyS+rtdXi0l+82vcmuwbY5X54g02okz+bJVIGWZBKaRlhNMpKMos1xj+O6yr6RLlK6hiSKbM+vmrWg7nyoqsaB3a388qf76WofZnwshjrPM1CUBCyTdaHSae2ixJUA01yGc253gTXqchAEZu0ROB+KIk/L9DN0c957cjlUOAsQBYEqZwE/7noJRZCQBXnBhKDfDgQEQcQwJjABUcpF18dIGfsx0THNJIYRxTQTSFIhkpiDIMhIUj6SVDwpRNoRBAfx+K9wOt5NMvUmTsd9yFJuZlsxgK73YZpRkuk3MYwJDDOGnhhGkvIx9FFkywbEWSxChj5K2hhHECwIghtJKkQ3hkim9oCpIctFKEoj0fhPUeRyDGMMASfx+JNYLevRtE6cjnei66MIwgCyXIFhRFDV08hyKbruIK2exjTj6MYEslSOLJeh6T1o+iCaPoDDfhNcRCj8VRdV+18+zRu/Pk54suYPAqzYWMnG6xoorytAkkX+3z/8zqKOlVecQ3FFLm0n+zB0g+7WIcaGwjNE1TuK17IxUEWFMzj1wHug7mZ+r2IrJZP9/qxSJri71l1AwXnlD2RRotqVzwcrt3Nb0SoSehqTjM84aPWQY3HyxzU3cG/ZJmrdBTN+iP+z4U5ieooyx+InNGHy4X5H0Ro2+KuIaMnJhsoKuZPn/FT9rXyocgelTv8FjWZFiuw53FG0mg3+SiJaJvBWmIwPc8hWcixO3PLM9hp3FK1hvb8Sn8WJf5b6VfOhiBL1vjx+r2YtoXSSQyO97Bvups6Xe0mPpp7oBK8OtKGaOiICY6k4+Y7fnsB71dA5PNbDN0+8Snt0diunTVJo9BWwPb+KRl8BfqsDRZSQBAHNNFENjf54hCNjPbwy0EJndGxGDFZS19g12IZVkvlfq28hcBGuwFpPLnWePM5MDJK8IBnj6Fgf7ZFRlufM3qbiUoiqKfaOdBFKzxIKoFi5ufjiA4fbIiP8uO0AuwZaic/ShUAUBNYHStleUE2jNx+fZfIeiwK6YZA2dMZScY6P9/PqQAvHxvtnWDBUQ+foeB8/bN2P3+JgpX/2xJfZ0FSd118+w3/9+0v09YxPCSSLRaa0PEDtsiIKi3PwB5w43TZsdguKLCFKAof2tfPsrw4zPHhxL3RXOznUNE20i3TdGYYxw4NxfnD8UrIzbzU2yUKe1UfQ6iWsxal0FmKVlCvmcpwN0zSZSCTZ097Nqb4heifCRFJpNF1HkSTcNit5bielfh/LCnKpzvXjti2+tVokkaJzbAKfw0ZJzrk5zsTMzFumhiQVIIke4snnsSjLsVrXY5ppUumDpNVT2CwbEQVXZjspSDL1BiAjSXlIoj9jFRJsKHIVomjHNHVEKYimdWOaaXR9YEqciZMiyTRTpNWTCIILWZ7+si9KQRS5ClkuQdN60fRuRNGHqrYBIpIUQFFqiUS/D4jIUj6SlJ/xcSIgijkocgWmqSIKThS5krR6hrR6HMMIYyICOprWiyjloMiVSFIeuj6AbgxhGmFE8V6Ei3hRuqqiKhKK89rTR+nvGsU0M28v9338ena+Yw3BQh92p5V0cv4CYOfjz3OTe17w42Dv+KzWr2JHDsWO6cGkla48zvdQS4JIns1D3gWB6JARVkGbe85sugpXLhXkzrpumXfxD9jzEQQBt2LHPUfNmQuD1y/c1yFbqXDNPqa5KHLkUHTBfVosoiiQb3OzLliCaugMJaIcGe0jrWtzWhcufLanDG3qQRrXVbwWOx+p35SJdwIc8m9HOrVpmgwlInz9+Mt0REdn3abSFeC9VWu5tqCGXJsLl2yZNdNsuU9jU2457yxfxS86j/Jo+2Gi2vQkhoSu8spAK/n23Ty44oZFx/7YJIVNueXsHm6nOzYxbV1SV3mu7wwNvnzEJWoke2Ssl+7o+KyWtx0F1QQXUTz3fELpBL/qOs7zfWdmFVQVLj8fqb2GDbnl5NqcuORMjNj57iXTNNFNk3WBUm4uruel/mZ+0LJ/hjVNNXR2D3VQ7Q6SZ3eTb1/4BcA0TQb6J/jPf3uJ3skefJIkUlmTx7vv30xdQxFOlxWrTcGiyEiyiDjpkhMEGB4Mzxpw/nbDMExS6cU/1wFSSW1aJqPVJk9au5ZeEfonS8s4sLLOX4du6ljFTNzZlbGNzUQ3TH5++AQ/PXCcwXCUSCpNUs2UTzFME1EQkEURiyxhVxRcNgslOV5+f9Nqrq2rXNSLzQtnWvmP1w9ww7JqPnXj1smlJgKWjAVI60MQJETRjyBYMM0UgmBHVZtRtVYkMYhpppCkfFKpA5hGAkWuIpF8iXQ6gkVZRsbyZQFBwDQNNL2bROJ5NL0Xi9KAojSQTL2BIlWhKG40vRtVa0EQLFjMmW55SfSjyFVIkh9VbUVVz0zGOOmAlXjyZcTUHmzWLchyGfHEs8hmAovSAII4LShdMwaIJn6OKDiQxCCa1oFhxhGEjLtQ1ZqIxh9HkesQBGVSGHqJJ57G6bgXUVhcn8+rKqpaT/bS0zY85d7befdabnvvJvKK/Qs2o50Nu9OKbzLjT1N1xofCRC+i8m1a1fnVq8d5/IWz5f5Nzv1oZ/v/s29OwiLXX7jtfOsv7v9FBCRJnPqnTP5XlkSsFgWn3YLTbsHlsOC0W3HarXhcVgIeJ8EcJzleBzbLlXkgR9QUI8kYTtkyb4yJU7aQ1FUiagrdMDg00ktSz1hESp0+NFPHxGSZLx/DNIipV6aN0NUmqWv8qO0Ax8b7ZnX5rcgp5OPLtrMlrwKXPHczWQCLJBOUZAJWBwXLtlPrzePvDj87oxRCRE3yfN8ZVvuLubVkfrfs+VyTV8FjHd4Zogrgqe4TfHzZNiRhaWJv3hhsYygZmXXdu8pXXZRFzCSTRfhMzynC6kzL19pACX/acC1rg6U4JGXO8QuCgCwI+Kx2PBYbBXYPAauTb53aRX9iuoUooas83XOSNYFibiyqX9ANqOsGr75wkr6ec5bKkjI/n/j0rdQ2FGGzzf/71HVjUSUUrgyL/1tomk4klEDXjUW7ASfGYqRS56yjHo8DUZq/2fmlMpGO8nT/XgaT43yg4iZsosK+idOsy6nlSoi42fjWy7v5yf6jjMbiMzIpBUHAME3Suk5a14mm0gxHY5gmpFRt0SN8rbmD1uExVpWci6UVRR9u5/snRZQKgoxpRJDlMhS5BlFwYVFWIcvViIIVUfQiij4UuR5BtCMKdmSpANPUEEQnomDH7fwAAhZAQJIKcDnvB1PP7IeIRa4HQUYUnJjoyFIJCAqSOL1oqUVZCRgIgh0QsFrWosiVIMgIiMQSv0JR1iBLpUiiDwQFWSoFZETRRcZylWlTpMhluB3vxUTNrBdskxl+BoIgIwhOLMqySSHpQBAUrKwCFEwzNnk9i+Oqiqq2k31MjGYemopV5sZ3rye30HdJggoyqbdOtw2H00p4Ik4klCAZX/zEa5omY6E4LV2XXy33rSIT+pCJfxA4V1tLFAREcfLf1P9nRJckiVgVCY/LRl6Om8JcD+WFOVQUBSgvzMHltF303yShqTzVfYoTEwNgQrU3wHur1iAKArv62/hFxwmOjw+wb7ibjsgYd5cvp8Lt54aiWv6zaR//3XyAGk9wanJzKVb+56qdfOPYaximgV2xcG/lSq4rrL4Cd/HqYZgmndExftx2cNY4nWp3kD+q28J1BTUXFT8kCAJ+q4M7S5aj6jpfOPz0NFegCfTEJnis4xCbcssXHfCfa3OxNlDCqYnBGeKkJzbBgZEutudf/t+kLx7i+MTAVHLD+VS6AqzxX1zGaE90nJf7mmmfxRJY7szhE8u2sym3fKo/2mIQBQGfxc4txcsYScX49qldMwLq++NhXulvpcFXsGCpBdMwObi3bWoStTssrNtcTcPKEmR5YetfNJIknbo4C9DSsfg4LtPMBJqPjUZn1Meai4H+CeKxc9+F0or52+9cDk/170ESRPoTYyT1NDkWF7/q280KbyXKVZgiX2lq40d7jzAeTyAKAg2FQd65ppHGwnz8TjuCANFUmv5QhKbBEQ509nKyb4iavAA1+cFFfX+TqsaRnv6Z9Q0FGUk659HQ9RGS6YOIghuL0oAgyBkhhXdyjhEmXXyOyf0FJClvWkmZ848nYEOUCi84p31qW9M0QXJPHft8RNE54/P555WlEhSpBEkqzmSuIiBIRVPrM5w9lxVJyp1y3QsICKb7gm0d067jHG/j7L/hvgni0cwPpbQ6j2CRb1FBk/NhscootsmgzZS6qCD33yZMM+MTP/eMW/zDThQETomDU0JLkTMp1Pk5bqpKAiyvKWB1fQkl+V7keWqSOGQL91Wu4raS+ilrgkWScU666zbmlrI8pwDNNBABRZInO6cL3FXeyI3FNZiAVZTRTB2vxYYoCFxXWM26YPGUnc/5W+D+0wydH7btn9V64lasXFtQw41F9ZcUkA2ZthPvKl/F831n2DXYOv3cpsGZ0DC/7j3N/VXrFnU8URDYnl/Nc71nZozZwOSJrhNLIqr2jXTRG5uY9dt7R0kjDtmyaPFjAkfG+nhjqH1GjJkoCHygZiMbgmUXJajOIkwKq2vzqzk40j3jHhuYvD7Uxq0lDQuLKhMGB0JTn61WhYrK3EUJKl036OsZIzRx+T3pLo2Lu2/hUILWpoFFiSo1rdPWPEA0cu77VlmVj6JcmelqJBXmxvy1NIV7gUxcalxLTU7AV95S9ZP9xwglkoiCwJaqMr74rpvxOWwo0rl6YCawrCCX7TXlvH/zGgZCUSRRoNy/uJY0J/oGCSdSC04PopiDw3bzpOss87yd7Tdy4bKL+R1NLz9z8b+/s9htO8hIGGFKkC10vPOF22Ku61K4qqIqHklONd8M5HuxWOTLvghREpEmJ3zTMC+pPMPvKoZpYugm2gUuhJHxGKc7Bvn1m6eRZYn8gJvV9cWsbyhl88pynPbpE9zZppxOZXbRY5MVbHP0c7LLypy9niySREB6+zVgvlQyrWdSPNl9Ytb11e4g91WsueyMOpsk8+kVO3lzqH2GNWw4GeHl/mbuKlux6Bi1Nf4Syl1+OqNjM473Un8TETWJx3Jp/cwg09Ji33Ang4mZAdeyIHJH6fKLyqgbSUY5PNbDwCzHWx8oZX2wDOdFiLQLEQSBak+QzbnlvD7UNqOOV388xJnQIOsCJbhmaVA7/VjnfwBhkRbiU8d6aDkzcNEB4EvHxT1nR0ciHNzbxqattQtawY8e6qCrcxT97HNJgHWbq6bVrVpKFEHCMM0pK0ZLpBdZlCYn4Cs7n2i6wdGeAQzTxKbIfGDLWvI9rpmiBRAlCUWScFjAa7eBubikA9OEN1u7SOsLGxwEQbroukxvFcIiY5yuNldVVKmqfi67xSpfstvvLKZpkk5pUyZwq92CYnlbdN75jcY0TbSzYiutEY2naO8d5ZcvHcNpt7BtbRU3ba5n7bJiFEVasno2F7L/xROsv74RNaVxcl8rq7fXX5HzXC1M4IW+M0RmcXG5ZCtrAiVUe4JL8m5c68llW34VrwxML7uhT7of9w13cV3h3MX4zkcRRXYW1nBsvG9GYdKolubZ3jO8p3LNJY/1VGiQ5vAwqVlqU+0oqKHA4V70PTGBtvAIh0d7Zp0OryuoocyZc9nfI7ukUO3JpcThoys2PmMMx8f7GErWzSuqBAHyCrwM9E0AmXYvLacHMO4wZrXgm6aJacLQwARP/eIAZ072XtY1XE0S8TQH9rbx2sun2HbdMkRRmPE3MA2T0dEIzzxxiO6OkanljStLKKsIXnRZhsVye9Emftz1MsdDHfzt8f+Lamp8vOZubJKCrl1ZURVNpVAnxaMoCJTleBf13RTnKXkxHI1xoKOXY72DNA2O0DQ4zFgsMVUD7/GDJ/jlkdOz7lvq9/Lx6zZz58q5M20N00TVdA519/HymTYOdvUzEI6Q1nS8diu1+UF21lVy2/I6HBbLgvP8SDTG914/wA/3HGF9eRGfvH4La0oLUQ2DU/1DPH2siYNdffSHwphAjsNOXV6QzVWlvGPlMuyTxpmUpvHk0TP87ZMvArC6tJCvvfdOchwLv/BpusHfPvkSTx8/Q1rTuXfdcv5k5zUEXBcvMK+qAnG6bSgWmXRSJR5NoeuX94U1TZNoKE5ssleVYzJTJsvSYxhmpilmNMlTu07y9Gsnyctxc9v2Bu7Y0Ui+341FkZa0i/zJva2s2lZHMp6i9XgPK7bULso18nbFxJwhcs4StDnZHCxfkvIEgiCgCBK3FjfMer7hZJRDYz1cW1C9qAe4IAjsLKjhx20HZ4gqwzT4ZddR7qlYddH1mSDzG9473EnPLIHwAnBX2XJs8wSSz3a8rtg4zeGZcZI5Fge13jzcC1iPFoMgCARtTood3hmiCqAtPMpEKgHzJAGKosC6TVUcPdgJZLpE7HmjidXry9lwTTWSPOmeNE0MI1Onqfl0H4/+95sc2t+OQCZW8pKKgF5lJEmku3OE733rBcITcbZdtwyb3TJpmctYzHu6Rnn0B2+w+7UmNC0jsC0WmXe9ZxM5/pnWm6Wi3JHPZ+vvoy8xSspQKbIHcEoZK4h+hfP/nBYLyqRYNEyTnvEQVbkzK4ZfDAc7e3n4pTfpGQ9NvVgYF8RXzlXYdCFPj24YtAyN8u+79vHSmTbiaTVjRZsUeeFkiq6xEC+cauX7rx/kf92xk02VJSjzhI+YZkbUpDSNiXiSSCrFWCzBf7xxgMcOHmcinpnfz9oNR6NxWoZG2dfRwy2NtdgnZYxFkthUWUKOw05/KEL36ASvNrVz9+rGBS16ZwaHaRocJpJMIYkCW2vK8dgv7TlxVUWVJ8eJ1ZoRVf2dIyTiqcuqkDs+HKGvc3TKpRgs9OHO+c0wXf6mY5owOBbhP3+5l5+/eJRbti7jju2NlBXmYLcu/HayGFw+J6/98iCKVSERSf5GCyoAzTDYP9I167qA1cnqwNK17xEFgW35lSiiNKMdS1hN0hwaIqlrc7peL6TA4WVdoISO6Ni0ApoZq0w/reER6rwX33g1oiY5OtbLyCyteYqdPjYEypAvQqxNpON0REZJzFJCodoTJGB1Ltnk7FVs5NpnL/PQmwgR0eZ/vomSyA23rORXP93PyHAmgWewP8RX/78nWLOhkoaVJXjcdtKqzvBAiJNHu2lu6ieZUHG6rGzf2UBbyyDNp/uX5HoujsXfQ6fLRnVdPgO94/T1jPPwl5/m0R+8QU19IYGgC90w6e0epfn0AJHwubR6xSJxy52rWbW2HIt16aeqtKFlsqgFEUWUKbIHiGuZTGRdNCZfEq6sZVyRJZYV5PJGaxeqrvPTgydYW1aEy3rp7unKoJ/71q9gInEuJm1XUwdnBobRTZP6/CDX1lfOuq/PbqN6DlFnGCZHewf4xvNvsK+jBwC3zULQ6aTI58Yiy4xEY/SHIoQSKdpGxnjw0Sf56zuv5/bl9ciLsDTGUmn6JyK82drF4wdPoBkGQZcDl9WKRZaIJlMkNY2UqrGtphyLfC4uUhAEPHYbt6+s43uvHWAkGmdXcwe3r6jHMs/cYZom+zt76Z3IhAusKM6nMpAzrxCcj6sqqirqCvD4XURCCQZ7xulsGqC4InhJtVZ03aDpWA+nDnVOLSurySOYv7jAvSxLRyia5NFfH+a5N89w27YG7tq5guJcL9bLjJl75x/t5PjuVjRV466PXreEI35r6I6NE5klQF0SRAI2J8FL6NE3F4Ig4JStlLtyaAmPTFtnAuPpBL3xCWo8i69ldmNRpk7ThVXJVUPnV93H+Yzn+ov+ex8e652zmvytxQ24lPlLSlzIWCpOTzw067o8mwvXHHF/l4JVkrFLsx8vqqaIqSkMTKQ5JmZBEAjmuvnYJ2/i/3zj10yMxzFNk1g0xesvn+b1l2e6aERRIMfv5M571nPbXWv5z399mdamgbfAWrX488myyIo1Zdx61xr+819fZmwkQn/fBP2Tbs/ZcDitbNlRx3s+sJWcwNL9Ls7nwFgTfoubKlchEiJ7Rk/z0uAhEATuLt7KCm8FVzqmCuCu1Q0c6uojllZ5pamNrz73Gh/eso6gy4HDarlo63VdfpC6/OltqUKxJC1Doxi6zorifD5947aLHmd/OMIPdh9mf2fP1Hk+vHUtNyyrxm099zttHhzh33bt5flTrYQTKb787GsU+bysL5uvZmPmPoeTKR4/dILxWIJCr5u7VzdwU2MNRV4PsiSS1nQ6R8d5rbWTZfm5M5o6Oy0KNy2r5pF9R4mlVFqGRjneN8i6ec4dTaU51jPAaDSOAFxbW4nfeenGmasqqqqXF5Nb6KWvcwTTMHnmx3uoqCugrCb/orIAdU2np32Y1585RueZAQBsdgtVDUX4s6LqLWMikuAnvz7EgVPdvOfmNWxZXYnf47joWAhN1dE1HTWtUb6skHRK5fjuVrbduebKDPwq0RIemfURbZcUih1L/72VBJEqd3CGqIKMhagvHrooUbU+WEaJ08dAIjwtq041dF7sa+Z/1G+fM1lhNjTD4PBoD92zuM9skswNhbXYpYt74QqlE7MGqENGxPTHw4sK2F0M4+n4jHpg5xNWk6iGPu/3X1Yktl3fgKRIPPqDNxgaCJFIpEmn9UwNKiHTg0+xSNjtFgqLc7jlHWu49oYGXG47hcU5uNw2wqHL72d4pThbT+vaGxrxeh38/NG9tLcMEY+lMm12dBNByNwLu92CL8fJtTc2cvvdawnkuq+Y2+/AWBNrc2qpcRcznAzxTP9ebinYAAL8pOslahrff1VKKty2vJaXTrfx0plWUprOT/Yf483WLt61tpEdtRXkupy47VZs8uUndl0qmmHw4qkW9rV3oxsmFYEcHrx5O1uqSmdkhtfmB/niO29BM57lmeNNjMZifPul3Xzz9+7CPmdtxMx1jccTTCQSrCst4k9v3MqG8uJpjZstskRtfpDaC0TjWSRRpNjnZVt1Ob8+2cJAOMprzR2sLimYswH0sd4BOkbHMUyTHIed9eXFl+z6g6ssqgrLAqy6pob20/2ExmIcebOFx7/7Knd9cCvFlbnYnfNfiK4bxMIJuluH+PWj+9j15JEpH3DDunKWra3IxlS9xRiGSXPnMN/471c4fLqX996yhsqSINaLSCCITMSYGInQfLgTLa2jplV6WgZ/40VVXzw064uvTZIpvCKiSqDcObspP66lGUnO7D4wHzZJZmdh7YyaVSYwkAizd6SD6wvn7xZ/Pv3xEKcmBmcN3F8XKKXM5Z/zQTgXUTXN2BzX9WT3iTkzL68EKT1TEZsFvAgWi8z2nQ2sXFPGvjdbOX2yl8G+CRLxzH1xumzkF/qoayhk9boK8grOBTPXLitk1dpyRoYjFJf6pzUhPosgQE19Ibn5cSRZpKRs9pZZLpeVqtp8HE4roigQCM4eEJYTcFJbXzgl5BwO67wxK7pukEyoWK0KG7fUUtdYzPHDnRw/3EX/ZJkdxSKRE3BRU1fAuk1VFJX456xLFUs3oYg+ZCkHcZFNbuci4+Iz2TVyjOXeSlb7qvFanPyk6+WrlklukWX++s7rkUWBPR09jEbjdI5N8M8vvMH/3X2IzZWlbK+pYEVRHrluFx679aJ/F5fLUDjKkZ4BhqNxREHgzpX1rCjOn7PUjkWWeGDnNbxypp2EqnJmcJh9HT1cWze72/F8Ag4H96xbwfqyoku6To/dxk0Ntbx0pp1QIsnh7n6GIlEKvTPLeWiGweHufnrGMy9imytLKfS6Lyu29aqKKkEUuO6uNZw50sXBXWdQ0zrPPbaPjqZ+rr97LbUrS6dZrAzDJDQapbN5EDWlMjEa5fShTt587gRtp/umJih/npstNy+noq5gjjNnudrEEml+/eZphieivO+2dayuK8blWJz6d/uc2OwW2k/0sGZHPemkht319kyfvRhGktFZLVWSKOKSLz94+kIEQcA7R6mDlK4RVi/eunF9YR2PtB2cUbMqqas823uaawtqFhWwnqkl1UvbLMU5RQRuLq6/pIDypK4S1maKtLcC3TRYbMGDjFvPxS13ruaWO1dn9jfSxLRhkvoEYKKITlzK9Fibzdtq2bytdt5jy7LE337l9xYcw7LlJfyvvy1ZcLvrblzOdTcuX3C7s5imOVUeQRDA53OwfWcD23cuvrL/+ZwZeRC3ZR059h3YlXIsUh6y6Lmo/mwAQauX3sQwwhicCnfxruJtuGQbqqHNqGp+pfE77XzhXTfzxJHTPH3sDF1jE4zG4ozFEjx9vInnTrZQEcjhxoZqdtRWUJXrx2e3XTXLVfvIOF1jE0Am+66xKA+ffe5nsiAIlPq9rCopYE97N/G0ypttXYsSVSuK82kozJ23NuJ82BSZFcV51OUHOdE3SPf4BG+2dfPuNctniP+hcJTT/cOEEkkUSeSaqlKCrssr43PV6w8UlQe564PbiITiNB3pRlN1mo/20Hy0B5fXTl7RuYJ5qUSa3c+f4PThLiZGogz2jpNKTDe3u30Orn/nOq65eQU2x29+ccjfJjTdYN/xLkKRBPffto4da6vxLEIcyYqErEhsvGkFTo+D0EiEhg1VV2HEV5ZMT76ZT2sJEdtFurkWgwBzBqKrhk5Cu/hq3JXuACv9RfTGQ9MC4NOGzv6RLgbjEYqcC1vdElqa4+P99MVmxj/l292sC5RdtOsPMv0jE/O45K4mlzMvm6ZJSO2mOfwUaT2CiYFHKaXSfT1eS9mSjfFqsZQiJan2EkufZjD6KG7ranLsO/BY12KVi7BIeUji4uJhtgQbeaZ/H0cn2lmfU0uFMx9JlIiqUWrdJZmXA/PqiBZBELArCu9Zv4KbllXzanM7u9u6aRkeZTAcZSyWoGV4lNaRMZ472cK71jRy64pain2eq2K1GopEGYlmCs0W+zzkOOwLCjpREFhRlMee9m5SmkbT4MwwhNkozvGS5768ODq/08FNDdWc7B9iKBxj/2SmoMs6XSMc7RmgbSTTJqoykEN9QS6Oy2zf9pYUdVp/bT3plMqT//0mJ/a3T7WWiYYSRM+LDdA1g66WIbpahmYcQxDAn+dlxx2ruOU9m8gt9F2t4We5SJo6h/nBr/ZhGCbXb6xdtMXq5N42VlxTw4GXTmJ1WCipzl90ccS3Iyldm3W5KAiXXEF9PjKNtWd/QBimiWpcfOFIAbi9uIFX+1sIXZBVOJFK8PJAM79fvWHB47RGRjgdGiRlzLwnmSbSl5alZ5jGjGzH30RMdELpTtJ6hGvyPo0kWNHNFAISuqkSSndhFd04lTzSRoxIuge3UkzKCJPWY6SMEE45j4Q2hijIBG0NhNJd6GYK1Uhgl/0ktTGsko8cayW6qRJTB4lpmWetQ87FpRQgCQpRdRDdTJE2YqhGDKvoxWspQxaX3rq6GNzW1cTVFtL6EOHUfsKpAyhiAK9tI17bZpyWemxyCYoUnNc9WO7M5yNVt6GbBhZRRpy0dFlFCx+ouBGrpFz14qqCIOB3OXjX2uXcvrKe5sFR9rR3c6Czl5ahUfpDEdpGxvj31/YxGInw4S3rKV1kVfXLIZpME09n5mmfwzZPbNQ5BEGgwJdxIeuGOVUra/aG7udUt9tqWVDYmKaBZowgCg5EYeazwm2zsrGihHyPi4FQhObBUU70DbK5snRqm6SqcqJvcCrr75rqMgq9CzdCX4i3rFLmlptXkFvk49lH9nLqYAfdbcOkk4t4cxbA5bFTUVfANTct57q71hAs8F3x8Wa5PNp7x3jsucPYLDJb11ThtC9sVTy+uxnTNEnEUgz3j2MYBtI8DZp/YxEWVxn5kg49x4Hnq1WzEJvyKihyeglPJKcdIa6leWWghXsqVs9reTNMkxPj/bRGZr652iWF7flVeJRLc/caJjMqnJ/FrdgyldQv6cgXj0u2cuk2BAGL6EZAZCBxhBxLFQ45gCjIJPUQLeFnyLU1UKncQFwd5kzol9R738VI6jShdBdpI4qIjF3OYThxgp2Fn6c98gJpI4ZmJJBFO4IgIiCyPvg/iKh9dEVfRzPiqEYSm+yl3Lkdn7WSocQxRlNnkEU7hqnjsZTgUvKReWtEVWXO5win9hFOHSapdpDUelCNEUbiTzMafx67UonXtgmPdQ12pRqbXDqne1ARZS78ptokC7aprM63qmI9WGWZFcX5NBblcffqBl5r6eDZE80c7Oolkkzx7IlmKgI53Ld+JbYr1MLnLKqhTxUpVSQJaTH17WBaJw3NMEhrOrJltl/FuePJkjjD+qbpE6S0VgQEJDEHRSogmT6JIFhwWjdzYeCiKAgU+zzsqCnn0QPH6R4Psa+9h3VlRVOlEjpGJzgzOEJS1fDarawpLcTvvPTOEFPjv+wjXAY1y0so/PMgJ/e3c/iNZno7RhgdDBMej2X6+KV1TDLV1212C54cJ8FCL5X1hay7tp7qxqJLKseQ5a3hTMcQP/n1IVwOK+sby7As0CC1srGE0YEJtt6xmtMH2n+jq6kDWMTZf26Gac5pxbocTNMkOYeLTxQElEsUqB7FxvUFtbSFR6dZmjTToDk0xJnQEKvnaYA8nopzcnxgRiFRgGW+fGq9uZfcqkcUMnWHZmtWvSm3nM255Vjn+DssNav9xZdxHRJ+aw0xbYj+2AHGU20ErDUEbQvHMtkkLxWu69g38i3WB7/EC/HDpI0ogiDisZTglgtpCT/NSv8HOB36BSk9xEjyFCPJk1S4dpIywowkTzOmtOGzZmJgUkaUctd15NoaJ8/y1v0WXdYGnJZl5LvuI5o+Rjh1mGjqJEmtg4TWRVxtIq42MRx9Apd1OR7rOpyWRhxKFVa5GEm8/InzaiIKArluJ3evbmBZQS7/+spenjvVwkg0zpHuAXbUVlIe8F3RMUjiOaGjGcacLy7nYwLqeZm2oiDMYaVaGFXvIZp8CUUqwqrUoMiFSKKTePo4TuumWffxO+1srS7nmeNNhBJJjvcN0jsepiKYg2manOgbpHU4E9O5sriAyqD/kmtTnc9b3tPF6bax8foG1m6vY6hvnL6OEUYGQiTjaVJJFTCx2S043XaChV6KKoIE8jxIv+GFIH9XOd7SzxOvHCfP76KqZP4O6yu31GCxW0hEkhSUBy+7+fZbzVzlBgzTuDKiCojPIapkQbwsl+NtJY080n6QVGr6uENqkpf6muYVVU3hIU6HBmd9MF9XUEPAeumBorIoYpFktFniqpZ583hX+Sp8l9Gn8Gpil3Oo9txCVO2nJ7aH7tibCIKM3zq9vZCBMc3qaJU8WEQndikHARFZsKKbaQRE7JIPi+TCKnkQkZCQUY0YSX2CtBElqg0C4LfW4FXOuUrcSiE2yXfRweBXCkEQkAQHXttmPNaNqMYY0dRxounjxNKniastJLVeJpJvMJHcg1UuxG1Zhdu6CqdlGQ6lBosURBDe8ilw0UiiSF1+kJ31lezr7GEslqA/FGE4ErviosplybjkIskUkckCnAthmuZUHJYoCLgnC3heKqLgQJZykcU8BGRE0cN84t4iy9TkBVhVWsjrLZ20Do9xsKuP8kAOoUSSU/3DDIVjyKLIhvJiipbA9QcXKap03aDrTB8HXzwx1WLAl+umYVMNOXkL+3XVtMbxN5ooqy8icEEMlKxIFJYFUCSBxESU2+7fcVEX8nbA67KxcXkZzsuocXGx6KaRaSFjmBiGQVrVSala5r8pjVgiRTSRJppIkUypVz2r5UJME/Yc66SyOECOx4HfO/cEemJPK+t2NrL/xZPYnBYqG0uWpFL7W0XA6kRAmOF20wxjMoh9aTEx58zws0oynsvIOKz15rIip5BXB9qmXU9MS7NvpIuxVBy/dWbAsGronJoYpC0yM+svz+Zi7SKaEM+HVZRxypYZBUrPji19BcTrlcA0DXQzDYh4LWUIiDSHnyKmDpFrWwaYaEYKw9SJqYOoRnxqX4GzlcDP/oOzMSvClEPy3HJRkLGKbryWcuq9d2GV3Ojm9PskIL1tBNWFCIKIRQrid+zEZ99GShsglj5BNH2SeLppUmD1MaI9xVjiZRxKJS7LKlzWRpyWBhxKDdIscTmTR7/q1zMfkijic9jx2W2MxRKkdW2aNWhOLvMyct1OAk4Hg+HoZMX05ILdUEzT5Mxgpl2UIklUBH2XNQbTVDGMGKY5e8LPbOR7XGyvqWBvezeD4SjHege4qaGatpExmgZH0AyDMr+XhsI83LalmbcvSlQZmk778W52/Wwf17/3GtSUSndTP+HxGLd98NpFHUPXjXnrfwx0jvDCj15nxzsXDnZ9uxHMcfH7d26gKPfqFSA1DAP9PFGVUnXS6UwZ/+SkqIrEU0TjKULRJKMTMcZCMYbGogyMhonGUlehZvB0Yok0z75xipqyXLauqcQ6RzxAy7FMdqjDbWOkbxzTMOA3OKaqxOE718DqPFKGznBipivscjFMM1MbaxbskkLOLKJnsUiCyDvKVvL6YDvaeb9nwzTpjYc4ONLNTcUzm7IOJiKcCQ3OKMkAsDFYTonDd0k9BM/ikC34LPZZXYsT6fis7WvejuimymiqicHEMURBzsRBCVZyrFVIgg2PUsxoqgl1Ik7aiEwKsEsjc9xqQuluTod+gUV0YpN85NqW41Lyl/CqrjyioGBXSrErpeTYryOp9UwJq2j6OJH0MaLpk0TTJ1DiQZyWOlyW5bita/HY1qOIOReIx7dXX0XTNImnVaKpzN/bblEWFU8lS+KUsIqnL/43UBHIodTv5WT/ECPRGG3DY6wrK8JlnV2InLVSHenOtFByWBTWlc/XhmuR91kQMEmhGeMk1dOktQ5SWidWuWpWgeeyWibbzvhpGhqhZWiU5qFRWoZGaRvOZP2tLSuiInj5TdbPctG2T0kSKasv5O4/vpHxwRDP//B1Bic7ig91j9Ld3I+W1hjsGsGd42L5llrySgIMdo1wZn8bA10jFFdP/6H2tAxw4PljCII4TXBpqk5Pcz/HXm/C0A3yywKsurYBx9u0ZpEkCXicNnzut597wZzsLD4RSTAeTjA6EWVgNELfUIiOvjGau4YZGY9lihVeBXoGQ7y0t5naslxK8n2zbrN6ex3xaJI12+tpPtr9G535B5nec7NdQVJX6YlNXFYfzNnQTYPWWSxCAE7FSr59ZjG8i2F7fhX5dje9Fwi3iVScXYOt3FBUO5VRdZa2yAhnQjOzeS2ixJa8CoK2y6sR41Fs5NpcszZU7ouFCadnirm3I4IgYhFd2CQPBiY2yYvPUkmOtRJRkChxbsEm5aAaCXyWcvzWGhxykFyhARCwyTlUe25FEhXqvHdik3IocmzAKnmQBTvlruuwywHKXNeiiE58FheVbpHxdDumqaOITiQh467222px60VYxcv7vlxtRMGGRcpFk8dJ6j2Y6JimwdkJXDVGmEiOEEruw668gte2gaDjdjy29YjC1SnPMxFPoEgSDsvCTcNNE/omIuzv6GUslrFAF/s85HkWLj/gtdsRBQET6BybQNX1i4ofKvC6WFlcwL72HsbiCV443crqkkJWzVGpXDcMfnrwBCOTxUILvW62VM5XCmT+a1ekAuyWVSCIgIKAiCIV4LRuRpgnw1MQBMr8XrZUl9E0NELX2AR723sYjycYjydwWS2sKi4g/zJLOJzPRYsqXTNoOdrF//3/fk4imkTXdLZPWpVGByZ441eHCBb5KKrKx+lxTDXBVawKVruFgy+eoGFjNYUVmfYYmqrxi28/R355kLySAMffaAYm67SMhHn5sT2UNxSTTqq0Hu3C0E223rVuqa7/N4JoOpWpYyLLMyapCzFNk7iWxoRpbhRBELAoMnl+N3l+N5CHYZhEEykGRsJ0D0zQ2j3CkaZeTrUNEk9e+Vo/e493sn1tFbk5rlkrrpfWFNB8pJPTB9oxDBPxKlcRXmpKnD5yLA5GUtMrfquGznAySkhNLlm8T+Z7oNIVHZt1vddiX1Q9qfkIWJ1cV1DLD9v2T1ue0FVOTQzQHZug3HWuonta12gNj9A5y5hqPLnUefMuu15XjtUxZ8ufjugo4+n4rOvebkiCQo61ihzr7PXZXEoBLmVmsWO7fK7OX7krE0JR4d4JQJ59xdQ6p5J5/hbLG6eWBWx1BGwzK+L7LOUXfwFvIYaZJqF2Ek4dIJo6RlxtJqF2ohrjgIlVKsZjXYsiBUlobURSRye3aSOaPkWR+4MEnbciClc+jONIzwCvnGmjIuinNi9Aqd9LwOmYVrJAMwzGYwlODwzz4ulWXjzdhmYY5HtcrCktIncRxSrr8gNTQeKdo+P86uhpbl9Rh02Z/nszzYwz/8KK4hZZZkdtBYe7+3n5TBvHegb4rzcP8Z4NK1hTWoRdOddCZzAU5ekTZ3jswDEAnFYL965bQcFlxCzJUhC3/foZyxaD3+FgbVkhTx93MhZL8GZbpqm9YZrU5AWoyw/O6S25pLFe7A6CCC6fg4rGEpLxFP3tQ3Sd6WfltoypX5ZFypcVc80da6Ypb3++l+Vb6njp0d3Tjjc6EKLjZC/3fup28kr9RMMJhnpG0HWD7uYBdj95CBMTQzMY6h5FkqXfCFF1aLiPM+PDSILAspw8VgYvvdp7S2gUiyhR5fVjk+cXFrpp0BoawzBN1uTO18AyU8XZ47ThcdqoLctl44oytq2p5FTHIG8cbufQ6R4SiylzcYlMRBK8uLeJxuqCWa1Ve58/hixLiLJEOvH2KOh4OVglmdX+Yl7ob5qxbiwd49TEAFvyFq44vBgMTI6P9xGdpQWMXVIodfqWRMDdXbaCR9oPop+XbWeScfPtG+maJqqGkhHOhIZm7Ze3Ja+CYqf3si11AauTCncAeZYMwNFUnPbIKOsDpTgvI27rcjD0QYzUK5jaGUwzgSDkICrLEK3XIbzNLEGG1gYYCFIZwkVYbmRZYsM11bg9GY+CJIkUl87eLmmpyNQtChFJHSSU3E80fYqE2kZaH8JEQxTsuK2r8No247aswqHUIotuUvogcbWZ8cSrjMdfIZI6RJcRwSYX47auuaJjBhgIRfjFkVM4LRbyvS6CTgduuw2X1YJFkjDJuPsm4kn6JsJ0jU0QTaXx2m3curyObdXliwr+Xl9WTHnAx8m+IaLJNP/26l4OdvWR73ZhlWVSukYslcZptXBzQw31BTN7glYF/dy3fgWjsThHe/p56UwbvRNh6vID5HvcWGSJcCJJ11iII939DEdjWGWJd69t5PaVdVesbMxCyJJITV6AtWVFPHuimVP9QwiCgACsLi2kMri0382LFlWiKFJQFuTad29ETWvsfuoQr/x0L7e8fzsATq8DX65n0VaFRCSBxabgcGVK7ueXZC7QNEwSkQQun4MVW+qmzh08r+L6WWLhBNFwAsMw8fqdOFw2NH0YUXAgCA40vY+01opVaUQS/Vcl4LIrMoGAQIXHz6+7mihyeXitryPzhwwWMhiPMpqKYxUlVgULCaWTHB8dJN/uotYXZCAeoS08hs9qYzgeI6qmOT42yIpAAUVON4eG+xhKxNiYV0KZ28fzXc2kDJ1KTw7jqQQpXactNEZK12jw5y04XkHICKzlNYVUlwZZXVvMvhOdPLXrJO29o+jGlYkt2H+ym/beUfIDbpQLHg4jAyG23raa5iOdxMIJdF1HWoKU17cKAYHrCmtmFVUjyRj7h7uXTFTppsnzfWdmjVTIsTpo9BVcVuzSWep9+TT6Cjg23jdt+Vg6zr7hTt5ZtnKqdENndJxTocEZx/BbHazxl5BjufQYr7PYJJkKl59Ch4fu2MS0dbppsHuog235VdQoi28kvVQYahNa9NsY2mkEqQRBsGEYXRjqASyWa676eObF1DCSL2MKINvvg4sQVZIkUlmdR2X1ws+dy8UwNeJqM6HEm4RTB0mo7SS1XnQzCghYpFy81rNFQZdhU8pRRB+CkPlOWuRcnJZ63NbVOJRaesPfJ6G2MBj7OU5LI3Bl3YBnLUXD0RjD0XMWbEkUkcWMu07Tz5UwEASoCPh4x6oG7lhZv+hilQGXg49ft5l/fOZVusdDdIxO0DMexmFRkEVxqoZUWcDH6pKCWUWVLIlsrChBAH649wh723s41jvAqf4h7BYFSRRIqRoJVZs65/s2ruKetcvJcby1ITFFXg8bK0p4tbljKh6twOOisTAPn2Npw4kuy+alpTUi4zFki4w0aUERBOGiMrR8eV5i4TgTI2FcPgcdp3qBzA/TX+BDtsiU1BZSUB5E13S09MxMh70vn+L5x/ajqhr3/fH1bLq+gXD859itm7DIlYxHvwsIxJNv4vf8CZKwNKmTCzGUiJLSNQocbmySjN9mpzU0xhv9nQiCQJHTjW6aPNlxGpdiIaapjCXjRNQUMTXjwit35xBNpzFMkzK3l0PDvbiVSgI2B32xCHsGuphIJRhNJdiQV4zHYmUkEac9PEZUTXNtUcVFj9tmVagtz6Ug18OyynweeeYgbx7tIK0ufaXqaDzFgZPdLK8uxO+dPqluvX01JdX5dJzqJa/U/xtfp0oAtuVVkWOxM56enpUXUZMcGeuhLx6i6DKbK5umyWAizKsDLbOuz7e72RBcmlYnNknmztLlM0RVStdoi4zSGR2jxpNLWtdpj4zSMUuM16qc4ox1aQmSEARBoNIdYEVO0QxRBbB/tItTEwOUOnOuSBX7uTCNKGrsXzHS+1Bcn0C0rAXBBkYY0xgD8eoltywGwxjC0I6DmMdbWQBzNkzTRDNCTCTfZCLxOjH1DCmtl7Q+AhgIWHBZlpNjvxa3dR0OpQKLVDBnfSpRUHAoVRS630c4dZCJxGtMJF7DzFFhRmnQpeWaqlL++s7rOdIzQNvwGIPhCBPxJElVRdX1TF9Qm4WA00FFIIeVxfmsKS2iNj9AwOm4qGfijtoK7IrMr0+2cKirn75QmFg6jSyKOK1WCrxu1pUVkT9PjJbDorC5qpQCr5s9bd3sae/mzOAIo9EYSdXAabVQlRtgZXE+O+uqWFmSj9+5mJelK5sQYFNklhXksqwgl0NdmWdVY2GmP+BSt/m56KeKpuoce6OJL/+P76DrOnanlRvft2XBulF7nz3C0V2naT3axVPfe5mOEz1ce+8m3DlOrn/PNTzylV/h9rtwTk6sgihQVJXH5tvX8KN/+iWyIuMNutlyx1rq1k1/m+/rHOXwG80YhskN71oPgKp1Y7OsIpHag4CMy34ro+F/xryMLJmLpdDpZoU/nxybnYNDvYwmM2nmHZExcm0uil0+YmqKl3vaKHP7KHC6ccqZrKwufYJcu5Myt4/W0ChWSaYuJ5cDw30cGu5DQMBvddAWHqUnGiLX7qTWF0QzDHRzkO5ICN0w8Nsu/e3f7bCypr6YgM9Jrt/NEy8fJ6UufUr67qMd3LVzBTme6f2kqleUIski63Y20t8x/BsfUwWQZ3dzU9EyHu04NG25bpqcDg3ybM9p/qB202ULyP9u2c9IMjZjuUu2stpfTInTd1nHP4uIwA2FdXzr1K4ZGX3DySiHRnuo8eQynIxwOjQ4I/tOEgQ25pbNGQd1KZQ6c1gbKOG1wVYiF7g/Q+kkP2k/RI0nl2Xe/Ksm1I30m5ip3Uj2u5Hsd4Iw6eo0TcAA4dzz09B60BM/Q5QrEOQ69MQTGHozAhYk602ItpsQxMk4GlNHT+9FT76IqXcgCFYEZQ2y/d0Ion+yVL+JaaYxUq+ip/eC3odpphCkAiTrtUjWnVOWKENrQU88haEewlCPIwg20uoRzooLxf1niJZ1vJWlBnpC/8ZE8nWSWi9pfRDDzHzvZNGLz7aFHPu1uCzLscgF06xSC6FIflyW5YST+0hpg5NB7Vf2OvM9Lu5YUc+WqjLCyRSJtEpK09EnC2yKgoAkitgUCbfNSo7DjttmvSQhYJVlrqkqoyo3wGg0TiydRjcMhMlCwDZFxmu3keuef86wyjJ1+UEKvW6211YQSmREoGlmrFlOiwX//8/ef0fZdd7nvfhn9316m977oHcCJECwd1JUobpky7Itl9hxixPHce5vpdvxtW+c/BLHN5ElW7LVJUqsYu8Eid7LYHrvc3rb7f5xBkOUGWDKGQBU9KzFxcE5+7x7n7PL+7zf8jweF6U+z6KOM+DS+ewtm+fMluvCwUK3YhEhCAJeTSM8GzHTZIkN1eXUh4NF3Q8skVRJisy2e9ZT0VCKrEiAgNunUzqbsqtfU0W4PIAvdGXhXMvmekprIux5fAeKJuP26bi9OpIkcs9ndrP+tjZEUcAb9JD52C0IgoAn4Obez+5mYnAa27ZRNYXIZek/y7Qwcib2ZekpQRAxrTHS2dfwuh5DUzfgYHI9W2Sr3H5agyXYjsN4JsXZmXFK9IJWUTSf4fm+s3gUlV0VdViOzbmZCZoDYSrcPmRBvCQ90xGdoDM2hV/VsB2H87EJPLKG5TisC5fx/c4TRHMZGvxhFFFkQ6ScoKbz6mAX99W2XOUorw5RFKmvDPOlj+zEsmyefuMkplXclevgWJSO3nGqywLoqsL0eIyzB3uwzEJkzMiZDHSOsfn2K1v0P0y48PD6TNM2nh88fYU21WQuxUvDZ9kcrmJbSe0Co1wbByb7+XH/8Xmv9Eq3n4dq1i5bTX0+lLm87K1o5tmBU5e8PpVNcXx6mCcatjCYjnEmOnrFZxt8EdYGy3HLxUuzqJLMjpI6tkZqeHO064r3j0wN8a2uQ/yTtbdT4fJfF2Jl59/DcTLIrodBuGifgsDlFhs4aWzjOLZxHEEqBcdBkJrAHschC3PdTg5W9lnM9LdB9CPKTThOAivzAxzzHIr/TxCEWbLqmJjp74KgIUrVCDjYxmlM4zQ4ILkemD0eN4LcguhkcMz+WeK1B4TZKI+4uOLg1cRo8jtkzUEKz3IJt9JC2H0fQX03LrkWRYos2lT5cshiAAQJwblA/ld/vtAUmYqAb0WF3IuFJIpUBnxF8bjz6VpRtJ1UWaKpNExT6erW3Y0nknPmyQ2REGsqy1bF3mdJI4qiQKgssKDQp9vnwr2AnEC4Ikh4AY8+X8gzLxETRRF/2Is/vHA40shbGPkroyce7U6SmReQxUo0ZR2OnUEWQxeJ360u7qxuRBYlREFAFATuqWliR3k1uqQQzWU4ODbE+kgZZW4vflXHsm22llahSzIeRaXS45/r1theVsPaUBmGbeFWVCRBYHt5NbJQGD+su/hi+zYkQcCrqggIc6ucYpnLloa9/MonbmNsOsG+oz1FfdSYls3xjmF2bWxAVxUGzxfUtkOlfhAEcpk8Q91XtuF/GCFQkFb4dONWvnb+0qYN23E4MT3M33bswyUrrA0uvbnhxPQw//HYC0znruxy8yk6d1a0sD5YudzDvwKCIKCKMo/VbriCVOVsk/7kNAOpGQaSM3TGr/T62xappcEbuaLbaEXHBLT6S7mnso2z0XHGs4lL3s/bJs8OnCJrGfzTdXdS4wmueP8XNMHeG+9lXbCCdaFLz51t9iKIQRALLgKOHSU//cs4mAhoiK7HUTy/8MEHnASOPY2k3YGo34uAhkMeQdARZqNGttmNmXkaQapDdn8eQaoBTMzMjzFTf4eY24ek31doORd0FN+/BEFDEFyAgG2cwEj8BVb+nTlSJYhlSNqd2GII2ziKoLQjuj76ATkTbrycjWFFEQWVoH47Je4H8WmbUaTwrL/fyhYLlpMCx0aWIgWJnyId81KRN8cYiP4ZGaOwKBAEFVUqx6ftIOi6B125fh2ZA4PTPPXMEZoaS3ngvg2cOTvMj586zGOPbmHLpoXLCPJ5k7/8q5/y61+5m/A887tpWhw/McD4RIKHHti4ml+BZC7HudEJBqYL8i9rK8tYU1G6KguqD49G/wIw8iZG7soONZd2K6rSjiBoSGIQcCgJ/gnidapdCGquK/4d1ArpLU2SqPH6qfUFCGsf5MX9aoH1F+QTPsjl+1UNv6rNaXgJgkBA1ef+Bqjx+i/592qgJOjhtz+7l47eCSajxRWrPNszRmb2PDaur0YURZRZmQXTsAiULH9lZdo2o5k4vcn5NZtWAlWUCanuS87X1SAIAi5J4TNN23h/opdTl0VvcrbJW2PdZCyDX2rdxW1ljYuKKpm2xfODZ/jquXc5F7+SgIqCQJu/lM83bS96LZEkCGwIVdDiL7mCOE3kUrw33ktXfPKK1N+FVGSFq/grdE2SubeqnXOxcX7QewTjMv21pJnjhaGz9KVm+FTDFh6uWVcwW17C/WPaNiOZOMemBtk30cvx6SGi+Qz/YuN9V5AqnBSInovUzhVE9TYcJ4mV+T6CfZl/mWMhiOWI+gOIUkHX7/Ijs43jOFYfkutRBGXdnF6PpN2NlfoGdv49JP0uQEEQJATl0oi14DQgSBU49iiFuimxYNsiyLPESwJUBMGDIBZPx2elqA78EiHXXjSpGlkMIInFI3pBfRey6EMWA4iCjn2D0pwOBhmjk7w1Sdj9MLaTIWf2MRL/KjOZV6n0/zIB153XJUiQyxnMzKQY1hXiiQx9/VP09k2Rz129FMRxHPr6pzDN+Rf2kiTS3lZJU9PqNzT0T8V4v3sA07Yp9XrYVFNBmW9lmngL4WeCVOXniVSJogvxssJERSreCn2puPhh7Vd1dlXUokjSJa9f64F+tW2vV21IfVWYLz1+C3/5jdeKOm734CSJVBbH8ePxu3jqq6/zkV++E0mW5uyRWjYuLyU2nk3wH46+UNSU1wW0+Er5zbW3s7N08StHURCo8QT5Zxvv4Z/v/wlTl+lWZS2D98d76UlMcWtZAw9Wr2VLpJrgPN1xk9kk+yf6eXbgJEemBpnOpbHnWV9XuQL803V3UFWkWqqLIQgCPkXnweq1dMbfuuS9mVyad8d7iM6jD7U+VEGrvxRplVTyS3Uvn23axmgmzusj56/4VbKWwfHpIXrik3y7+xA7InVsL62lzV9KQHXjUzREBDKWQdrMEzeyDKVi9Kdm6E1OcS42zkByhoxlkLEM8paJLIoLRIcVcCzm7GIEF7L3N3DsaazM9+fZXgIxhCAu3KXoWKM49hRG/D9gJv6fi94wcexxHHsSHBsEcBwL2ziJlX0KxziHY8+Ak8SxJxDVPYv+TW07x8nJ/4uMOYiAhCqV0hT8Cj61DRAYST3HWPolJDQ2lf35osddCqr9v4IkuFYclZoPPm0LXnUDhWpBBSh+c85SoEnV1AR/Dxwby8kQz77LaPxvGY3/PZIYxKdtvS7HEQy6yWYNZqJpYrEMoiSgKIXf/403z/H6m2fJZPN4XCq/+it3UVF+qTxILJ7hh08epKzUz6MPb2YmmuL1N85y4FAPG9bX8IXPFrpfk8ksL796mu6eCbJZg0Qiy0MPbGDnziZcusqZs8P89IUTROMZenomWLe2it/97fvR9YXFU5O5PAf7BjnYX2iC21Bdzo766qIXqF/Ah55U5fMmxjyMOZ3bhyo3IksfrBhTmVdxabsRi7iyWQ5EQUBfZGTjZoMoCDy4ey0/euU4PUPFi/zkDIuuwUkaqyNIAiTj6TmfQtu2mR6PYZnWsoy0LceZNx1WDARV17LMkGVBZHuklj/efD//7sjzxC8rqDYcm6F0jKf7T/Li0FkCiotSl5eI5kGXFFJmjqlcirFMgpSRJ2sZV+gyXUBYdfM76+9kZ2l9UdNsF0OXZO6rauer5/aRsz/4PWL5DPsnerHmsabaEq6myRdZtVhAITpXxq+17yFtGewf772CWNmOQ8zIEp8Z5Xxsgh/0HkUWxULafvbIHAqrbhsHy7GxHAfLtjEca15T6PkgiGU4ZgeOYyLggCAiCF5ggcYZQUAQlKvLvzgWAjqi/iCicqVopyDVgqAWfARzr2HE/gRRbkdyfRRBqgYngZn6+0Ud/9wuAcOO0xz8J/i1dQwnn6Y3/nesjfxrZMFLmfseNKmU7ujfLGncpUBexaiZKKiXyUfc2I5jQZCRZ/XLJCdA2P0Ilp1gKP7XxDJv4FHXXReR0kjYy9h4nNGRGJIsXiJ/s359NRs31CBJAk89c4R973fy2COb597PpPP85OkjuF0q996zFoBgwMW996wDAcbH43Pb2o5DT+8Esizyxc/fRl//FCdPDVFXF6GxoZQfPHmQhx/YSEtzOX/5X1/g1l3NqPMIR19ALJPlmWNn+fq7h8kaJmU+D3ta6le1fqsopMpxHNLJHEM9E9iWTVVDCb7gle2etmUX3dA3l8lfEYZ0HIdU9k0EXUcSP7DEiaW+j6ZuQeTG1wVcDMu0eenZY/zjV1/HH3Djcqvc9cAG7npgA15/8fU9BvumeOmZo5w62s99j27moY8tRUxVwO1S+exDW/nTv325qMfV2T/JHdua8bo10vEs+18+SX17Bb1nhomOJxCL3BFyIyEIArqkcG9VO7bj8GfHX5qX+OVti7xtkTByDKVjFNRKCqbMF9SPr4aw5uaPNz/AIzXriiJZsBAEBMpdPvaUN/HqRTpcpmMzNc/3qvEEWReqxK+s7r0oiSJbItX80cb7+K+nXuedse55yaeDQ842LyGExYSgbsDJv45jnMSRygtRkKvO1xebIS+whRgGJERlM5LrIbgiFSTO/mdipb8Jgowa+i8g+AERx+xmeYXYArLoRxFDhPWdjKdfw3EsBFFAQkcWr0yrZMwh+uLfJJY9iSholLr2UuP/NFlzhPH0K/i19UT03dhOlnPTf0Gp+05KXLfPSyoLZRAOIFyHCP3N4/0nCAIiOh5tE265hXT+HDljAJfaQjrfwXT6WeLZ98iZgwDoSgPlvi8S0O8qpDKdFCdHHsejbaY58v9c8tuZVpTx5LeYSb9ETfAPCLj2XrJvt1vDth36+ifx+XT8Pn1usdHVPc5rr5/FNC1GRqNs3FDDhVssnzd56tmjmKbFl764Z44ACYKIS1fQtSuDC7quUFcboaY6jOPAkaN95Gbn+FQqj66reL0abpeCS1cQhMJvY1o2h/uH+LOfvoFf17Bsh5FYgolkCsO0UGWJu9qbeHhD26pFqaBIpGq4b4p/+KsXeOvZYwiCwNbbW/mF33+I1o01l2z3V3/8fd598UQxdjkH23LIX1RTZdtx8mYXljWGYXbN1RnYdhzLnuBm01yBwgMdx2HPXWv51d+9nzPHB3n1p8cJl/jYfdcabNvBNCxsuxDKVxQZUSw8UCzLxjCsQoeQKMxdtBc+A4ULX5REFKWQbqyuC/PEF25D1eTCZy/CpfsqhHgv7AsKzUqSKLBnaxNBr040WTwvtdHJOKZVaPH9pX/1OO88e4w3f3KIyoZSvvDPH/3Q61RdDkEQcEsKD9eso0T38BcnXqUjNr5gxMnBwXIKf10LiiDS6Ivwb7c9ytZIzapFqC7gQgrwoZq1vDbScc0j3Byuoj1Qdl3OqSSIrA9W8J+2f4Svduzj6f4TC6ZJVwIBUEQJaZ7vJGsPYKW/j5H6a1SlHaRqcARwrlS8XyxEdTOCXI2dfx1RXY8g1THn2O2Yl0ZcHKMQGRO8hW2cPI7Vi22cRlR3Xjm44C78Z0dx7DgIF4hS4dq0nRx5e5Kx9AsE1LWIV/FfA1DFEhr8v4wcdBHPdzCd2Uc8d4qgvhUBiVS+h5C2g1juJLLoRZPKWIhUpvJnSBlnCeq3oUqlhTqw/0MgCAKqVIam1JLJnydvjeOihUTufeLZ99DkOoKue7CdNNPpF+ie+mPaSv4nPv0WRMFD0HUnE8kfkgsMoCuFInPHcTCsCWbSryBLYbwLpBR1XWF4JMqmkloCs9JHk5MJnnr6CJ/7zC7a2yp58ieHSSQv1uArzEmFOqxJWluuLWOiKNLcvCMKAo7DXD3xow9v4uvfeAufVycYdLNhQ+3ceA4OGcPk3OjkJR7CgiAUlOLXtfCVvbesuhBpUa7G0YEp9r92Bmu21f7kgW6OvXv+ClKVy+RJxVfX0NS0x0mkj5HJHSSbP404GyoWBTcB75cQxesj/LkciKKAJImUVwbwenWymTyO49DfPcELTx2mr3sCURR49IkdbNvVjKLKHHj3PM/+8BC5rEFFdZAv/cY9BEJuTh7p59tfe5OyigATY3Fa11bxxBdvIxjyFFY8knDFROs4Dr1d47zwk8P0904iiQKPf3onW25pRL1oRSEIAh6Xxt7tLTz9xsmiff+xqQSmWbiGVF3l7iduucYnPvwoNC7I7ClrouG2CH/fuZ/nBk4Ry2cwbGvJ074qSnhklY/Vb+a31+7Fp16/qKwmyWwJ11DnCdGXmllwO5eksDFUTZ1ndVuoL4YgCJS6vPzRpvu4q7KVr3fs49j0EEkzv6IOWZGCTIYqSjT4wtxftYbt8wirCnI1svc3MRN/Tn7qy4j6XQiCH9vqBDQElp7CEZV1SK7HMZN/ixH7NwVyJHhw7HHs/PuogT9FkNsBEUnbi5H8XxiJP0NUNmGb3di51xDE+YuEBakKUW7BzD4LSRFRWYvjGAja7dhOjjNT/x5VKiGob6Yh+KtIwsISBo7jkLcmGUo+SdLomtUKlAhomxAFGb+2jljuFGmzl1juGC65CpdcueDkO5F6msH43yILXtaU/TdCrtuX/Nt9mCEKOqLgxnZycxpdpd7PUOr9HOJFBNOv3Ur39B8Rz72PR9uIJHop9X2eieQPmEh9j5rAPyt0omKSMbrJmYOE3A8iLZBeLS/zc+BQD47j4Jvt8s8bFppWWOQnk1lOnhqkqio49xlVlXj8sS0MD0f5xj+8w2//5n2Ul/uxbIdUKkcuZ5DPW6RSuaum8S5gfDzObbta2LunFd2lIl0kNC4KAhGPi+311YzFE2QNC6+u0loW4YF1rdzZ1ohHW32j7OJQ/IuYJIBlOXME63pDlVsoCXwBSQzj1najqWtuyHEsFQ6F3PPo8AwnDvdhWTaV1SGMvMXLzx2joaWcj3/uVs6fHeHNl05T31SG7lL43t+9zR/8/z5KZU2Yn/74MN/62zf4zT98mHzOJB7L8C/+3ccx8hYvPHWEd187yyOf2L7gMeTzJi8+fYTWdVU88cXdnDs1xCvPn6ChuYyyyuAl28qSyNa1NcUlVdMJTMvCcZwlRzAkQSSguooqIrkYlOkFtfyVQpgtXv8XG+/lo3Ub+VHvUfaN9zKdS5GzLQzbwnIusqug8BCRBBFFlNAkmZDq4vbyFj7btK1Qq3QDIntB1cWjtRv4Sf/xBbdpDZSyIVQ5JxlyPSEKAreVNXBLSR37J/t4buAUByb7ieUz5K3C72w6NrbzQRxLQEAUCv+XRRFZkJBFEV2SqXQH2BquYW95M5sj1ZeYmF8O2fURBLEUK/0d7Py+wshiObLnl5Bcj3ywoaAgiCUI4pWWXJdCQHZ/BkGqx8r8GCv7U3BMBCmCpO5FEMsQEEAQkDy/iONksXKvY+feRpDbkL3/FOwodv7IlSOLXiT3Z0FQsHJvYucPIEhlSMoGREFjfcl/IKhvWtRvbjs5ZnJHyJhDbCz5M5JGJ2OpF+fe96vrieVOEM0eI2dN4FPbUaSFfRDjucOAgyBoeNX1izqG5ePmi44XREmt2bq8QkpfQMJ2Mhh2FscxcLARRBcCMoY1iTNbcO+Sm/DpO5lOPUOV/9eRBB+mPUM0+yqqXEbAdWXTgixLuN0qfp+LRCJLOOQhGHChKjJVlSHWr6/mu98/gCgJtLaUoaryrM+fQCTsRVVl1q+rZiaa4smnDvGrX76T4eEZfvDkQYaHo+TyJl//xlvcvqeNlqYyvF4dl14gP5Is4vfrKIpEPm+SNyyOHOlj/4FuDMNk86Y6vvj525BlCUkU2VBdwTd++VPX6UzMj6KQqnCZn027mjl9qBfHcahrKae+/eoaO26vhsutISzB0mY+WKZNKpklf5nxr8/9UcR5cvs3KyzL5uB7XUxPJamqCbP33nW0ra9mcjzO2HCU08cGeO/NcwB4fTqyItHfM0lFTYhQxIsoCuy4rZlnfnAAKFyMpeV+IqV+Usks5VVBhvqnr3oMM1NJxoajnD8zzDuvninsy6/PWxwuSyJrGsuRZXEuurRSzMTTy7bCiegefn/D3fz+hruvvfFNDEWU2BCqZH2wgqlcQTzz5MwIPckpxjMJEkYO27FRRRm/qlPu8tHkK2FDqJLN4eolywIUG0HNxe9tuIvf23DXDTuGxUAWRXaXNbK7rJFYPsOpmRFOx0bpTUwzko4xHI+TtQxcmoJb0XBJCl5Fpdzlo9YTot4TptEbocodQJNksoaB6FybJErarUja1X3+RLkRNfTfFvlNRCRtN5K2+6pbCYIHxff7KL7fv/JN92cWOI46xMs+Y9kLpysdxyFrjZEzJ7GdHFlzFElwIwoKAiKSoJOzxknmz5MxBwlRWOApkh9drmAq8x66VIFLruZqZCZnjQECbrUZRboW8VwcDNMikczi0gsReV270E1289RUXYDlJDGtGJLgRRI82I5B1uhiJvMSydwxDGsK20lj2xny1iiXfgeRMu9n6Zr8Q6bTL1Di+QSGNUk8+37B0kdde8X+GupLaKgviL7u2tkEwI7tH7iaPPGxHTzxsR3zHut//HdPzP193z3rue+eAgmury/hn/3eQ/N+5rOf2jX3d1VlkC//YqG+6+jxfmZmUvzhHzxEWamfZDLL7/zBt/jcZ25FvokywEU5lLqWcr78Lx7h8JsdGIbFuu31tG+5urfY3kc3c9t963G5V9a5MD4S5cXvH+DE+5cqJ0uiD8uewXRG4aIaFUWuuylz8LIksveetfza7z946euyiM+vc/dDG9m1t6A6b9sOoigwPZnAyFtztVPJRBaXu8DwHcchnzMx8mah7ipvompX/96yLOIPuHjoY9vYcVvLJfu6HIIgEPDoVJYEGBhdONWzFNi2QzKTx3EKtVvpZJbETEFuQJIlSi6Llv0sQxAESnQv91S1cU/VlZ1dP0fxEFBd7C5vYnd5YcIwLZsXDp3Dq6s0VUSIBNzkDQtFLojtypKIYVrE0zkmZpKUBrwc7RrB79bY0LB0wdYPEwQE3ErtAj56Nv3xfyRnTiAICr2xvyekb6Xccz8BbT2x3HG6on+NJpUS0rdf0sXnV9cxnnoVVQ2hyVf/DQvpw0JtUbHQ0z/J6+91sHVdLbm8yY7N9WiLSEddbziOTd4cImv24lJaUOVKskY3A9G/IGf0E/Y8jFfbjiJGMO0oPdN/cukAAvj13WhyNVOppwm57iOZO4zjGNdN92q5kGa7csfG4uRyJv39UzTUR5bkNXw9UJSrRpJF6lsrqG9d/AOlcU0VG3c14/aurOZjdGCKw291XPF6Nn+cZPZVLGsM56Li9LLgv0ESrm+KaCUIhDyUVQbp7RzD53fhcqvIqkRVdZi6plIkUeTMiUEipT72v32e3XcV0p227TA9meTk0X6MvMn4aIz1mwtENxnPMNg3xcx0inzeZHhgmlDEQzDspawySHfHKG6PhsuloKgyVTXhOSHOiyFJIhUlvqKRKoBc3phNJQsceu00Q52jOIKAL+DmsS/fWbT9fBhg2TZ5wyKXN8jlLQyz8J9pWlh2IcVuO06hkBMHAQFBmE0LSiKSJCJLIqoioSoymiqjqzKKLN3QaNbNDsdxSGZy7N3QyJPvnKSxIsxMMkPE58atq5T43UzF0wVyZdnUlYVwa0rRE0W27ZA3TXI5k5xRSH0YpoVp2ViWXfCHsy8+/wUyLsz6xUmSgCIVin5VRZo9/wqqsvzzL4oqayP/at73BEGiPfyH877nVupZE/mXC45rOTl0uQKv2oJ8DYsZVaogb03hOMXr1DzVMUJ9VRjLtunqm2TTupqbjlQ5jo1hjRPLvothTVLi+TiqVMFk9kkyxnnKvJ+h3PeLczVRscy7XN6YVXhGqJR4n2Ak/v8Sz71PNP0aqlyJX796BPVGY017Jd09E7z6+hls20GSRH7h83uQ5ZuLCK74qrEcm7iRImPl8StuJEHEJV07+uT1zZ9WWioUVZ43ApNIP40sV+LTH0C4yFpBvEpB5Y2CIAhESn3z1qHJssQDH9nCW6+c5vUXT2JZNpu21VNaFsDj1fjsL+/lxaePkE0blFb6efgTO2Y/J+L165w61k90OkVzeyVbZkO3w4MzvPvGWZKJDNlMnvfeOsfOPa3U1Jfw0Ee38dbLp3j9hRNYlsPmHQ2UVQRR5qnvk0SB8nBxC/9zeXMuWN15vJ+P/urduLz6zzwJcBynkIJI5Uikc6TSOWLJLOMzCcYmE0zMJJmJZ4gm0iTTOdLZPOmciWlYmJY1F1GUxEKXp1tXcbtU/B6NkN9NScBDWcRHZWmA0qAHr0fD59bweXTcunrTrfZuNPKGxXQijSSKdI9MEfa5SWbzCAKcH0pTVxYkkzNIZnKksnnSuTyyJGGY1iUaPouF4ziYlj17/rOk0nniqSwTM0lGp+JMTqeYjqeJJtIkUoXzn8ka5E1rjmBdIFOKLOHSFdy6iu+i818e8VJRGqAs5MPnUfG6NfweHbdLXdUW86vBtFNkzVGmMvvQ5So8StM1P+PXt5LMnyJj9mE7WcQiWOeURnyMT8bJ5AxEsZA5uBmeObaTI2sM4GBgWtNEM68xk34Bv76bgOt2BEFCFHQEQcW0E+StcSQ7gWnHmcm8gmnHrxhTQCbkup/xxD8wmfoxaeMsEc9jqFL5PEdw80BRJD76kesjdroSrJhUJYw0+6fOkjSzNHoqcMsa7b7aa16QHr8LqQi6Q4oqzxtFEUU3mrIBTd1wU6b7LoYkidyyp3XB98MlPj76mV3zvtfQXMav/d6lKcOCLYBAOOLli1+564rPtK2rom1d1bzjRUp9fOxzi1uxiKJIcAGvx+Uimzfnmh5KKoOcOdiNJ+BG0xXW7rj2A/fDBNtxyGQNJqNJpqIpRifjdA5M0jM0Rf/IDOPTSYwFLB7mg2U7WLZF3rRIZfIwTwBRADwujdrKII3VEVpqS2moClMa8lAS8uLz6EV3iP+wQRAg6HUxOBFjS3MVmdnoaV1ZiHQ2z/mhCarCfs4NTmA7DtFUBmdWEDRnmIsmVY7jkMubTEZTTEZTjE8l6ByYoGdoir6RGUYn40uqMXQcB9suRLPS2TxTpObdTtcUaisunP8SGqsjlIa8lIS8BL06chEWu4uFYUWZyuzDctKUuPagyddO6ZV5Hmci9SxZo49Y9sBs99/KCNCa5nI0VSaRzLKmpQJVuX6/wdWQMwcZiv2X2fqoMSwnhU/fSZn3c7hmbYfc6jp82g7i2bcxrHFkMYBhTSKJfmQxcEVKTxAEFKmEoOtuxpPfR5FCBF333Iiv9zOJlZMqM8NELka9u5yx7AxeRafNV1PoOlkAgiDg9urFIVWajDJPpEoUvKSyr2FZE4iinws3nVvfc10UaG8GFFto9XIIAmjziLetBAXNrcLfLZvqiE8lySQyxCbiC5Iq23FIGwZJI4ftOPhVHa+6+q2zy4HjOJimzchknKHxKD1DU5w8P8LZ3nFGp+LY9uqeNAdIZnKc6R7jTPcYAH6vTmttKRtaK2lvKKOuIkRlqR+3fv2L3qdjKXqHpslkDcChtiJEdUUQSRQLBCaexuvWV3XSkyWJj9y6bu7fzmyK9UI0r6kyAsC21g8kY6ojiy8psCyb8ekkg+NRemfP/+meMYbGo6t+/gGyOYPzfROc75vgRcDjUmmuKWFDayVrGsuprwxRWRLA59FW/fy7lGrqA19c0me86kYqvZ9lJPEdBmL/C1kM4FHXFNTQl4mOnnHWtVQQDLh5fV8H9dXhosxPy4UouAjot5M1B7AdA1H04lca8Wib8Gk7UKSSuW1dShMVvi8RzbxGxujGctJ4tS2E3A+hK42zxEq5bHwVv76XscQ30eVGPOriOjkvR94wOdM9xlQ0tWh3gcVCVSRa6kopj/huWCR1OVgxqXJLGqVagMl8wf25Qg4jLmCtECzxUVkXQdUVPD59xZ1/sHD6T5LKyBpnSFmTCIJrjuS5tB3wM06qBEEgUuJl0/aGVd+PVuTJTRQFstk86YRFsNSPy6ORz5l0nxq8YlvHcZjOZjgxOcrZ6UlGUwkkQeCBhlZ2VRZ8AoeSccZSSaq9fkpc7ht6c6YyeXqGpjjfN8GRc4Mc7xhidDJxw47nAuLJLIfODHDozABBn4v1zRVsXVvD2sZymmpKCHhd1yU9aFk2r77XweBYFEEQsG0by3KoLAsgiYVO3zcOdLJ3ezMloetn8FuoU1r5OJmcQf/IDF0DkxzrGOLwmQEGRqMrH3iFSGXyHD8/zPHzw/jcGmsay9m2toZ1zRU01ZQQ9rtvKMG4EgLVgV/FdvJMpJ+lZ+bPKfM8jq40IIt+RBQWc8JUqWyuWH58Mo7fq5MzTLr7J9m2sQ79Bk4TihShNvRHi97era7BPY98UKX/V+bd3sHGtKeQRC9B110LNB5cHbm8yf6TfXztyffo6BvHKuKCQFNltq2t4Rceu4XSkJeb6vK7BlZMqryyi3ZfLZP5OIooUeNa2AD09oc20rqhBkUtXieXJIkoqjzXqTZ3XK6H8OhXhjRF4eZxW18tSJJIfXMZ9c2r7/59tYjkcqAqMkbOIB3LcOydDrw+F/mcQf+5kUu2cxyH8XSKH50/xQ/Pn6QrOoODQ1DTaQ5G5kjViYlRftBxkjtrG3m8eS0B7fpbFKUyOc71jnO8Y5j3TvRxsnO4aDIUxUY0keGdoz3sP9lHU00JuzbUs2VNYYL1e/RVJVeGafH+8V4+/dA2tq2rnS3UtpAlkWQqx+EzAzz/1mkcoCLio746THVZEMOwGBqP0Ts8BQ6Ul/hoqims5HuHp5mJpTBMG8dxaK0voyziva7kOpPN0zkwyYnzIxw41cfRc0OzkbibD4l0jgOn+jlydpDayhA719exdW0t65srCAdu7KLkAibTz2LacUTRhSi4iGXfI5E7jltpQpXKZ2uMrn2dVvp+gYBekHVoqithfDLB1EyKkrD3omaOG19XVWwUUtUpptPPo0qVBF1Ll6HJ5Q3eO97H3z/1ftEJla4p7NxQxxce2cH65orrmo4uBlZEqhzHIWlmiBlptoVaGc5MMpqdJqT65rXF2LirmY3zlwYtG4IgUNNUxi13rcU0TEoqCmF4AYmc0YFlz+DWdyOgY1iDSGLB9+rnWDkcxyFnFtcrzaUpeP1uPB6dyroIjetrMHImnss8EFOGwWsD3Xzj9BFUSeKRpjaGEnF645cWEoVdbsbSSV7t72ZPVf11JVW5vMnZnjEOnu7n3aM9nO0ZK+rDZzVhmDbnesc53z/Bu8d6uHVzIzs31LGhpRKXtrAj/EogSSIN1RFOnB9GEATaGsvwubVZXy+LqWiKmViaqWgKWRQpi/hwHIfRqThvHuxEkUWyOZPugUksy6a2IsRr73cwFU3RUlfKyESMiZkkd93SSiS4+hp2ecOkc2CSQ6cH2Hesh1Ndo+Tyq+MtWGyYlk3P4BR9Q9PsO97Lro0N7NpYz8bWSvyeG9s40jP9n2e1qj5YmNhOmmT+JLB4MeKw626Y1cqqqQwxNBplaiZFVXngosXDh+N+XQwcxyRtnMVxTJK5w6RyJyjzfQFdqV/SONmcwb5jPXzzmYOc65so6jPNrSvcuqmRzz28jbVNFR/K+s4VkaqcbXA+MciJaA8pK0PCSBNQPFwwu7xe2HRrMzVNpTi2Q1l1QQwunXuXbP4o2fwxVKUVRaomnvoBYf8/QbqGT9X1RD6bZ3JoBkEUqGxc/chSMeE4BRX2YsLn0ZBlCVGV0Vwq5w73Ys/TFTmaTvBi33lUSeIX123lgYZWnjx/iq+dPHTJdo3+ECHdRVd0moSxfJ+1pcBxHPqGp3nveC9vHu7iROfIFR6LHxbYtkPnwCS9w9McOTvI3q1N3LG9mfrK4tecKLLEQ3vX8f6xXo6cGeDk+WH2bGuiqbaEoN/Ng7ev5cV3zvDw3nXUlAeBWeLSP8n+E73cvasN23boHpyks99DbUWIXN6koSrMx+7dxLnecV565wxjTRWrSqocx2F4PMb+k328ebiLY+eGSWfzq7a/1YTtOPSPzDA0FuXYuUH2bCmc/+baElTlxjQAaXIVsrhyWZyLxzh5bhhJEqmuDBY9+n6zwHbyjMT/FsuOkTfHCbrvodT7SZYyV2dzBu8c7eFbzx3kXN94UZ1TPC6VPVua+MxD21jTWHZTREWXgxXfFbqkEdEDCAiU6UGqXCUL1lStFkIlPkIll7b2Z3Lvo6ubyBtdgIUousgZp2aF424e5LMGg+dHkCSRysYyzLzJcPcYI91jRKrC1LZVoq1QIHW14DgOyXTxiIpHV/C6tblyCHF20jZyJiN9E9z28Oa5FfJ0NsPpqXG2lFbysdZ1RHQ36jx2MQFNxy2rTGcz5KzVJzapTCF98sr7Hew/0UesiIbTNxKmZXOqc4S+oSnO9Ixy361ruH1rE7oqFzVq0VxbQlVpgO7BSd4+1MVzb57mK5/ajVufvwjZNG0Ss7+xIokoHo1t62ppqSuUIaiKhM+ro6kyJUEPpmWTy69e6i2TzXOsY5hX3u/gveO9TEaTq94wcj1g2Q4dfRMMjkU50zPKvbva2butmcANkDupC/zWnO3KSuC5qAZpJpamsTZCVXkQURRQbjLto2JAECR82jYsO4XsjuDXdqLJ1Yv+fDZn8PaRbr79/CHO9haXUPncGndsb+ZTD2yltb70Q0uoYIWkSpdU2nzVCBSiVpV6BEW4efKfkliKMFuUbpgjFNJ+N/kqRCjUhk2PxpgcmsHl1aluuTlVmi3bZio6f9v2clAS8l4iTFnTXE55bYRkNE3v2aFZwbfCeznTJJHPE3G5iegLa4+pUsGnzbCtonenXI6B0Rleef8cL7/XQe/wNOYN8r9cTSQzed442EXfbMH1x+7eSHnEV5SJNW+YGKaNrsmsb6kklsjy1GvHsa0P/A4VWSKb+4AUybJIwKdTEvRy+/ZmQn7PnH9kJmuQy5vMxNNkcwYT00kUWUJXVydSPToV5/UDnby07yyd/ZPkjA9Hqm8pSGcLtTSDYzG6B6f4yJ3rVyVqeTWE3HcUfcxIyMPgSJTJ6SSCILB7RzOauvrfaST+90TcD6FIpeSsYWbSr1Lu+zSioOM4NjlrkFT+HBH3/SvelyholPt+YVmfzeQM3j7cxbefP1z0CJXfo3P3La186oEtNNWULLpus69zjEw6T31zGbp7/k5l07Aw8iYuz/ULTKw4UpUys/SmxtAlFduxcckawQVqqq4ndO0WMvn3yBlniSb/AcfJ4dJ2FUUobjURn4wzPRrFF/YwPRIlFUvf6ENaEJblMD6TLNp4NeXBS1aIPWcGmZlI4FgOdW2VlzT0SIKAIoqYdkFVfKHrLZbLkjENfKqKskqrH8uyOXF+mKffPMW7R7uZiWdWZT83E3qHpvne9BGGx2N85qGtrG+uXPGYyVSOV947x1QsjSQKJFI57tjRgqoWFmqSJLKpvZofv3yM+uoI29bV0lQToam2hI7eCb773GF0XSHsd7NtXS1+b0Fzq6t/ku+/cISxyQTNdSWUlyxs1rsc2LZNR98Ez755ijcPdTI+nfwZqsSZH4NjUX786nEGRmf45P1b2LGu9kNXUHwxykv8jI7HmZxOgsBFpGF157HJ9DP49Z1Ioo/RxDfR5VourvkVBQ3lmsbaq4tM1uCtI118+/lDdPROYNnFI1QBr859u9r55ANbaKgKL2lxdv70MI2t5Rx9v4v6lnJi0yki5YV7e3IsTqTMT2w6xfhIlPaNNaQTWUzLxu3RSKdyiKJAWWUQj6+4nGDFpCpnG8SNFB5ZZzQ7Q0Dx3BSxILd2K5LgQRDc4DhIUhi3thtBKK5YZTGQmEnSe3IA0zCRFZne04Pk0vmiKM6vFi4ogA+PX6nYu1xcXqcx0juJJInUtVeRmEnx1k8Os3F3K+HyAF5Vo8rrZzAZpzs2TUswMu+YB0eHGEzEaAlG8KnFX63k8ibvHu3hyVePceL8CJnczdnVtRpIZ/K88n4HU7EUn7xvC3fe0rKixZRLV2mpL6UkkSl4zOkKa5oq5sQ0ZUni4TvW0dk3gUtX54rYK0r8PLx3Hf0j01i2jc+t45tdmWqqTF1liLaGMlrqSgv1WUV8iOYNkyNnB/nhy8c4fGawqOnwmx2Z2fqayWiKj92ziUf3rrtplMiXioHhGSRRJBLyMDVzcfT9etBjh/HUj5AELyXuxxEFFcvOEM8dIJk7iiJF8OsFpwzbyZLIHSWVPwWAacfxaVvxazuRRDdZY4BY9h3y1iR5awRNrqbM+xkUcWmE5QIyWYO3DnfxrecPcb7IXX5Bn4uHdq/lE/dtprYiuOTjy2byVDeUcOid8+QyJo1t5Rw/0IPLo9HQUo7uUogJkEnnSSWyTI7F0V0KA90T+AIuyqqCyKugd7diUhVSvazx19KXHsclaTR4Km6Km0oS/ejqNmS5DsfJIQoehJuoQP0CdLfGul2tlNeX4g970T0aJdVhjJyJrMlEblITYdtxGJmME08Vr2aopa70ElHH0b5J2rc2MNI7wcx4nKYNNZw91MPuR7ZQ6fFxe3U9P+g4yddOHuKz7ZvImgVC41DQrzowOsA/njnGcDLOx1rWUe4urpxGMp3jlfc7ePKVY3QNTi1J/fxnBZZtc/jMILFklmgiw2N3rl+WTQuAS1fYurZ2wfdFUaC6LEh1WfCS1xVZoqYiSE3Fpa/HEoWIYVVZgF2bGpZ1TFdDJpvn3WO9fO+Fw5ztGf+ZTPddC47jcLZnjG88tZ9YIsNnH96GdoMK2FeCmVia2qoQ09EUiVQOw7TmnB1WG4ncYWLZd2kM/WtkqRBpEQQZTa4inT9HPHuACt8XALAdk2TuKIn8cUo9jyNYKoncERSxBK+2gan084iChlfbxGjiOKpUsWyT5Ew2z1uHu/jH5w7R2V/cLr+Q38Wje9fziXs3U1kaWJYOXCad5+j73ZRWBDAMk5npJKZhkc8ajI9E0fQSPF4dx7bJ500y6RxG3iSfM9B0P5FSH5pefE5QBPFPnfWBBqpcJWTtPNo8xcI3Aon0U6RzBwH7kosqEvhDJKG44f+VQFZlKpvKqWz6wHfpws18M5DThWBZhZb7Yj14Aj4X9ZXhS1IIZr5wgxx4+SSiLLLrwY0MdIwCENJdPNTQxtnpCZ7rPsfJiTHi+Rwpw+AfTh/l+Z4ORpIJRlIJ7qhp5O66JnxFVFlPpLL89J0z/OClowyMXR8l7JsVjuPQNTDJPz53kFQ2z6cf2HLDOsOuF9KZPG8e7uIfnz1I9+BUUVMiH0YMT8T47guHSWfz/PLHbr3uZsSO42A7WUw7ju3kEAQJRQwhXcOc+QK2baglHPJw+GQ/leX+ZS8MloOsOUTeHMa+qIlKFBR0uR632joXlboAB9DlWoL6neStEcaTP8KwJmbH6iPo2ktAv41Y9m10pQFRWLoyfiFC1c03nzlI1+BkUZ9vIb+Lj969iY/fs4nyyPK9Y3ffsxZREtF1FcuycWybmoZSBAGMvIXHq+PxwaZbGvH4XIQjXhwHBBE0XUFzrY7rxrKvfNO2GM5M0ZsanXttKh/Hr3iocpVc5ZPXB1njDLq6AU1uu0RdV7wJ03+X42YmUxdgmjYHT/cXbbwNzZUEfa5L0kd3fGwHU6MzPPKlO0jMpDj8+hmaNhSsQWRRZF2kjN/ZupsfdJzkpb5OprKF+rMz04UHTER384nW9Xy6fSNNgVDRulLjqSzPv3Wa7714hOGJ+HVb0d7McByHofEoP3jpKKZp8dmHt6Nf54n1cnhcKo/csb7oE3w6k+eNQ51846n99I3MrHoDxIcF07E0P3ntBIZl8ZVP7MZVZAury+E4DqaTYCb9OrHse2TMAWwnB46FJtdQ6f8cQf0DH1PDimPaMwiIKFLkEsI1Mh7j+NlhorHUXETmej2HA/ptaFI5Q/H/SXPkT68ZWRIFFVkMIIkuBFsFQZjrhvTru4hm3iSRPYzlJHArLUu2ZbtQQ/X3T++nZ2iquITK5+JT92/l8bs3UBJcWeaguv4DnnFxIOLyv/XqQhG716/Pvb6aWPbTJmcbjGSmkAQRj1I42LSV5Wo56Fwmz+tPH0GWJdbtaKSsKrhqdUOaspZU5mUywoG5DkCAksC/uCl0qrJWjK74S6TMCbZHfpWUOc7Z2NN45FLWh5640Yd3VTiOQyyV5ciZK61jlosd62vxXiYdYZoWp97vRHfr6G6VOz66HX/4gxtRl2U2l1ZQ4/Pzibb19MZmGE8XioRLXR4aAyEa/CHCLheKWJzrLJXJ8dK+s3z3hcOMTMZ/JtrliwXHgbGpOE++ehxBFPjcw9tRb2BdoCxLVM/qWRUL2ZzBu8d6+LufvE//6MzPz/9liCYyPPvGKQQEfv2Tu1ctYuk4Non8cfqj/3/S+fMY9jS280EpgumkMK3YJZ9J5U8ynPgmOXOEmsBXiLgfQJydC9JZg0w2j3fW7/CDiXf1iZUqleJVN5CYPsRU6nlKPI9eY8/CgsRLQESVKvDru1ClMjS5CmEJi8lMzuDtI1187cfv0T9c3AVD0OfiC4/dwmN71xH0Ly6CuFhcTJQW8/dqYtlXvCYqrPHXIgsy8mxXVbVeguEsXFfQd36UV588zGDPBB6fzvodjfziP3voCo2pYiBnnEFV2tGVDQgXGW3eLN1/tmOSNieJG4OkrAlS5gQT2VPIrq3LGu9s3zitNSV0Dk7SXr+6IqKW7bDvaE/RinJLQ142tVZdsbI9/NppHvrC7ciajCxJ89aXKZJEhcdHqdvDxpJy8rNaVKokoUoSUhE103J5gzcOdfGt568/oZJEgaDPRXnET3nERzjgxq2raKpc0IoSBQzDIps3yedNYsksY9NxxiYTTMwkyV4nJW/HgfHpBD959TiqLPHpB7beMN+4mWShpirkLU502jAtDp8d5G+ffO+6EypRFPB7dMrDPspLfESCHjwuDV2V0RQJURIxTZtsviAjkUjlmJhJMjYVZ2wqeV3FR2PJLM+9dQpNlfjlj91WdFVsx3FI5k/QMflHZI0+HBZ3bStSpKAmnj9JLLsfv7YVTa4CCun82sogwYAbQRCQ57qQr0+huiwGqPB9mf7oX+DTtiMKMkPx/00630HW7KV35k8J6LvxaduvOlKhkP3YbMpQIOjaS4nncWTx2nNsNmfwzpFu/vcP32VgLFbUCHzQ6+KXP34rD+9Zi89TmINN26YvHqUrOoVLVqj2+mkKhou2T9txSOXyzKQy5Axz0d+nJhzArS0/NbhsUiUJIn7FQ842OBXr4/DMeQKKhx3h9gU/03t2lLGhaabH40yPx2nfUrdq6wBZLMW0pzDt8dmUX2FPDvZN0Z0IIIsuFMFNIj+E5ZiYdg55NiSdNqfoTrzCeOYkgiDT4n+AStdWDDvFyej3sO0CKTOdPFsjv8TJ7jTlYR8nukYQBBgYi1JXHgIBRqbiRPweNFUm4NEZmYxjWBZ5w0JTZWLJDD63TkttCcFrTECO45DPm/zwlWNF+x12b2mkPOK7Qp9EUWVi0ykCES/ONYKLkiDikkVc8upEIW3b4ejZIb7z/CGGx2OrPqHKkkhliZ8NLZWsb6mkrb6MkN+NIososoQkiYiigDhn9lsIdV/4z7IL3ZkXJtqB0SgnO0c42TnC+f6JVe1ScxwYnUzwk9dPEA64eXD32qtu//apHs4OFFq1y4Je7trUXBQidHZgHIDb1i7NhmM+OI5D98AkX//x+/QNT6/6+ZdEgdKQd+78tzeUUxryoMgSsiwiS1Lh3IsC4hXnv9BAYFo2hmlhmBZDY7G583+2Z6yoDSbzIRrP8Mwbp4gEPDxx35aijm2TpXPq35IxuhEQ8aobKfE8iFtpIWsO0D39H+f9nC7XoSu1kBFIGR3krYk5UhXw6pw+P4ogFCIa9TWR61JX1VryV6hSCSDi1TbSEvnPKFIEAYFK35dxHAMHC1HQkUQPkuCmzPNxnFmyp0rlVPl+CVHQSec7yJlDVPp/EZfciE2evpn/TFDfe01SVVBK7+Z/fu9thieK+3zze3V+8zO3c/+t7bgvqmMaTsbpjc2wrbyKntgM7wz3M5yKU+HxMZFOIVCgtNFclhKXG4+iMpJK4DgO1b4A3dFpanx+NpZUXFI2kskbvN3Ry9NHztA9MU1+iU0Hf/7ZR9haX7Xs77tsUnUhlDaZizGUmeTjNbfTlxqjLzVGvad83tbqkYEpkvEPbub1OxrRV0mUSxJDmNY0hjnIxYFUj37nTaP/qYoeNMlHNN+HV6lAFnUQwHYs+pPvIAkqO0t/i2i+l8HUflxSGJccYjh9mFb/Q6wLPUF/ch/n488zFdvKsfNDjM8keed4D6VBLx0D49SUBUlnDSaj45SHfcSSWfpHp8nmTdy6QiqbZ21DBYZhEo1nrkmqAN483EXP0FRRfgOXprB3WzNB/5X7LasNc/5oL6Io4va7qKidXzbheqBzYILvvnCEzoHJVa2hCvld3LqpkXtuaaWtoQyXpqAqEooiIQrisrpkHMehtiLEjvW15PIWU7EU7x3v5bUD5+noHV8VkdIL9iY/fPkYFRE/m9sXVm5OZfOsrSujsSLMs/vPMBVP8caJLibjKXavbaBvfIY9axtwaQrPHDjDrrY6njtwBp9bZ1tLNT1j04xOJ1BliVvaaplJpjneM0I6Z7CxYeX6WQCjUwm++exBTneNrmoNlcetsnNDPffubCv4LOoKqiKjyhKiuPzzX10aYEt7NTnDJJ7Msf9UH6++38HJ88MYq3D+HWBiJsn3XzxKdVmQW4vYfTmZeo5U/gwCMuW+T1EX/C1kwYcgKMSy+xf8nCjoqFI5kuAhZw5j2NG599qayjnfO8HkVJKt62uvm+ecfpGiuYBSIH2z0OT5RZ9lKTj3tygoiFLhuWjacRwMVKkcXakjY3Qt6hhyeZN9x3r5b996k/HpRFEJlc+j8Ye/eA937Gi+QnTXsC0sxyGiuxlMxKn1+dElhd5YFE2SGE7Fieay7K1uYDAZpz8eRRJEvKrKGwM9hHUXJybGWB/5gG8ksjn+/q1DfOu9Y6Ry+WU921baxbvihLckiAgITOZixI0UCTPNRG4Gn+zGLV+aapuZTJLLFMLQiirTuKZyVVoaAbzuR/A6V7a4CzdJ+g8KN4QsasSNITQpiFepAMcha0WZznUynDlCV+JVHMdCEhVspyAZoIoeyvUNeOUKSvQ2htMH8boVdqypZXA8StDnwnYcKoI+zg9MIEsSfo+OIomc7R1j5/paTveO43NruHUVXZUxTQvbufYFmEjl+N8/erdoxYt372ylubZkXluCqoZSjrx5loe/cDvZy9IXA/EoPzx/Cq+i8nBTG9XelXuBLYTRyTg/ee0E+0/2rVqXXyTo4fE7N/DQ7WspCXrRlEI0qhh1AIIgoMgSiizh1gu1DXUVIR67Yz2nu0f5/otHOXS6H8Ms7uRq2w6nu0b59vOHKAl5rpBCuBgHzg/w1qkeGsvDHO8dIW9YNJSF+fG+k9y/tY3XT3TRWl1CKpvn9RNd3Le1Fdtx+Mm+U9SWBtncVEnesHjuwFnaqku4Y0MTZwfGi9KVF0tmeOq1E7x+8Pyqdfl5XCqP7l3Px+4pKNSrilw0zadCOktCliVcukrQ56Ky1McDt7bTPTjF9186yttHusgX2Z/ScaB/dIav/fg9KiI+GqqLsyiaSr+Mg4VLrqch+AfIUmDOr+9qRd6CICCLQSTRh2FNY9kfCCsfOTXAg3esoyTs5ccvHCWfNy+Rd/kwwKOuI5E7RH/0L2czMgJlnidQpNIFP5M3TPYd7+Uvv/Eqk0V0xwDwulT+9VceZPeWxnmjfj5VI2+ZPN11FlEQKPd4kUSBgUQUl6yQtywkQcQtK+A4KKLEVDZFjc9Pjc9PLJejNVQyR6gMy+JQzxBff+sQ2Vli5NVU6kqC+HRt0Rp6AffKOMKKSZUqKkiCyLFoNw4OAnB0ppt1gborSFUuncea1fIpqQygr6annWMQTX2bRPoZbDuGrm4m7P9tVLlp9fa5RAgIiIJC3p4ia83gVy6EHB1k0cWG0Kdp9t0398AQBYWMNY0k6oiCOltQKeFg88Tdm9Fklc/ctxVBANsGSRLY2l6DA3Npoq3tNUiiSENl4QEnCIX0gTN7PFeDZdv8zfffZqRIgp+RgJsHd6+hLOydd/J4/6UT3PbQZlLJDMM9E2y4tWVOcmEsneKH509R5wtye01DUY7nclzwNnzl/Q6efv3kqkR0/B6dB3ev4VMPbKGyNHDNidRx7NnQv4OAgIPNVPYEqhTEp9QhCle/pS+kNzRVRlUkbt3UwKbWag6f7ufbLxzmxPmRolpQmJbNeyd6CT/r5tc/tQe/xzVvtOW2NfWsqSnl228cxbRsKkN+3LrCYzvXsaa2jNdPdDE6k+TRW9bw/KGz+N06qVyeTN5AliRK/V6mEinSuTy24+B36+iqsqzIzgU4jkPOMHnnSDffeu4gZpFJJxTESe/Z2covPHYLNeUhFHl1xTMvpIpVRUaRJTa3V9PWUMbprhG+/fxh9p/sK+p1btsOZ7rH+JsfvMMfffk+gj73is4JQDrfiYBI0LUHWQxc87l1MSRBQxRUbCd3SS2WZRXuda9Xu6z+7CZJaywCouCi0v/LVDhf4sITvfA8uJLQOI5D3rB452g3f/61l4kW2aPU69b4D7/9KLdsqFvQx6/U5eHBxlYcZ3Z+mn19Q6R8rpJNACRRpMYX4Jnus7SFSumYmeKhxlY8ioosiHOfy+QNfnL4NFnDxO/SeGLHBn5hzzYCLo2lXHSqtDIyXRRF9dHsNHm7cIGuC9Rze8mGebcVZx8YjuOguzUkSVi1B0g0+U0cJ0dF+M+RxDDp7JtMx/+KsuB/RLoofHqjoYk+UkwQN4Yp1dvJmDPoUhBN8pMwhkmbU7jkEJadQxE9wPzkR5akuYiE4zhI4gXCdGl78IWo9oWOkMX+/qZp8cOXj/HMm6eLkv6QRIGP3r2RtvqyBVcQiqYwMTSDrIhEJ+KXFDxnLZPxdIpNpRU0+lfHxsG2HU52jfCt5w+RL7KwpyyJNFZH+I1P385tmxrmyM61MJk9xkjqTQwnTUBtptpzD4IgMpk5hFsuQ8CN7Rg4OLNdruKc/o0gSAgI2I4JgoCIjCSKeN0qd+xoYW1zBT986RjPvHWK6Vi6aGnObM7ktQOdVJUG+OzD269IrSiyxHtn+3n3TC9Bj4u7NtXzxoluoqkM7TWlCMCamjI6hicpD/m4bU09X3/pAEGvi13t9eQME1EQkESRurIQkijwrdePoMoSW5oXbxh7ORwHBkZm+H9/8C65IkdxREGgNOzldz5/J3ff0rro819MCLMLLbeusGN9HS11pTz31mm+/+IRxmeSRYvKGqbFwVMDfPOZA/zmp/eu2KzYsAtdfapUsuTfzMEGbERBnotqWZbNHTtbeGt/J/sOdbNzcwMuXeHDRKhg9nyiwDW62y8QqjcPd/Knf/sy6UxxmxhKgh7+3T95hC1raq7q4ycIAjIiXHbtS1yp1SgKAo80tjGaSrKlrLIQvbpoHADDsjk+MIoiiexsquV3H9yDLF5/hf8VkyoRAZ/ixiPryIJEiRZY8Et4/S4UTSaXMcimc3NGqasB0xrF634UVW5DEAR87o8TT/9k0Z0iqw0BEVnUUAUvpaKGYadRRA+mmEUUZFr9D3E+/jz7xv8KG4Mq13Za/Q8jCCKq6EOcNa4WkdGkS4sQF9NGupQLLZs3eG1/J1/90T7yRVCNFgS4ZUM9d+9sI7RAa20+a3D3J27hvRePY9sCj/7SnZd+L0ARRXRJXvHKYj5c0F168pXjRTWNhgt1ZE38zhfuXIZWi0PEtYmg2s5A8kVMO4UmBhFmrwfDTtAdf5KsNUm97zFccildsR8giy7C2iYkUWMo9Sq6FKbCvRufUj/3u5aFfXzlk7tpayjjH545QEdf8Xy+ZuJp3jjYyZrGcratq72ESN+zuYV7Nrdcsv2amjJMy0YSBfKmhSgI3LOxGVkSWVdXwdragljuxQ/tirCPdXXlOI7DfVva5kjDcuA4DrFkhn987hBjU4nlDbIAZElkS3s1f/yr9181JbpYFCag2VjzMr7whc+E/G4++9A2WutL+buf7Od4x1DRolbJdI53j/awua2avduaF22aOx8UKYhlxzGsmSV9znEcDDuKaSeRBP9cJ/jpzlGOnhygvbmcDWuqePHNM7Q0lOH1SFyf7r/rhwuE6o1Dnfynr75INle8+VAQoKo0wP/16w+xsbVyUed4KfOTKsnU+YMLjmXbNtOpNB5N45amGpRVmBcWgxWTKsOxMB2LalcEUZAIKJ4Ft62si+D1u8hlDGJTSXLZPI7jrAqTFEUfpjmEKVUhCCqmNYEoehDmCYXeCLjkEC3+Bxd83y1H2Bz+IpvDX7zivTsr/nju7xK9lTsr/mRVjtG2HRLpLM+9dZqv/fg9EkXqGKssCfDxezbReJUai3efO0LH0X7atzZwx8e2X3GNeBWVKq+PpJEnkc/j14qXSnYch3Q2z75jvbx1uLto40KhdubB3Wv43c/fhaYt7/aL5s4xlT1OUG1Dk4LkLppcREGlynMX0fxZRtPv4lebCWprqPbcScacZCD5Ij65DgebycxRfMqlnXGyJHLvrjb8Xp2/+8n7HO8YLpr9zunuMV589ywNVWFKQtcmkxciWke7h8iZJluaC+nxa0V1VkKmYFZU0rI5cLKfF/edXf5A80BTZXZvaeSPfuk+Aj4dx7HJWglkUUNAIG9ncMvBJY1pY5IxY+iSD3mJQo+XQ5JEdm6ox+vS+Lun9vP+8d6i2e/0j87w1Osnaasvo7J0+a4WLrmJjNFLPHcYy04vWjXdsGdI5zsx7Sh+bRvKbIH3iTNDbFpbzVsHOrEtm0fv3TQbqfrZQ96weONgJ//xqy+SK6LMiigKNFRF+ONfuY91TRULpvxWFYKALIpIooB3BZIIK8WKv7lLUpEQeXnsCG+MH6MnObLgtu2ba4mUFwqK08kcPWdHyGdXx4DW536cdO4dJqN/ymT0z5iM/Sf87k8iiguTvp+jAMdxyGTz9AxN8dfffZv/9cN3SaSKQ6hCfjeffXgb29ddvcPm9P4uPvO7D3HmUDeZZG6uweECKjw+7qptYiKd4uDYIKZdvPSMbTt0DU7x3RePFLXTz6UpfOyeTfzBL9y9bEIFEFTbaQt+kVrfQ8iiB8NOYdppTDvNaPpdhlKvFeqt5hoPbHLWDJaTnY1oObjlSkpdOxbcxy3r6/jNT9/O9rW1RWstt+xCfdXrBzuXFPHc1V7PJ3ZvvK5h/LHpBF99cl9RGxM0VeaB29bwR18uECpBEDCdPAenvk1P8n0G0kfZN/F1TDtHypwmY8awHAPDzpI2Z8iYMUw7R95KkzZnyFpxLMcga8ZJmpNYjoHtWGSsGElzCsPOYjsWaXOapDlF1kpgOebsWFEsZ+Fn77rmCn7tidu4Y3tz0ZTxbdvhVNcIz751imx++c/9iPteBCTSxnnGkj/EtK7ualCQGEkxk36VePYgIODVNqJJhe46URQYGo3iOA5rWioYm4hdVFd4Y1KA9mxEqZjI5g3eONjJn33t5aISKkkSaW8o41/96v0FQiWJhaigYV1X+y5JEKgM+jEtm+lU5rrt93Ks+G7RRIVKV5i0lcMlqYQ1/4LRp5YNNazdWs9A1ziZVI63nz/Opl3NlNcuz0H7qseltFEW/DfkzW5sO4OqNCGJkSWpy/6fhgKZMpiMpTh0qp8fvnyMnqGpohlp+jwaH7tnI/fsbL1CPf1ySIpMx5FeZFni+Lsd+EJu1u/8IEVU6vbwWNMauqLTfOfsCfTZ0LAqSQsWrgY0/Zqpwgtpn2feOMXweOyq2y4Fiixx/23t/MYn91zib7hUyKIbQZCQhEJkI2fFiOW7yJpTxPM9KKIXAQHDTuFWKglr6+iO/4i8lSCgNlGib2IsvR9J1HE787dsX8CGlkq+9NGdZPMGJztHipIKGp9O8vrBTtobytjQUnnTWTI5TkHf60cvH6d/ZGnppatBlkRu39rEb3xqDwGvfolityK6iBujKIKGTykjZozSnXwHUZCpc+8gZyUYzpzAr1RSqjcTzQ8xnesnqFZT6VrHeK6TtDmNTykDR6Qn+R7TuT5qPdsIKtWcjb+M6eQIKtWU6W10Jd5GldxUuTZQ4VpYQ6ylrpQvPLqDXN7kvRO9RZnko4kMbx/uYkNLJbs21i/r/EfcDzIc/wYp4wx90b/CsKaJuO9DlgIfyCQ4FqadJGeOYdpxYtn9jCa+RcbsxiU3EdT3oEqFFPLmdTVE42l2BOfTMysuKYgmMoxMxcEBVZEI+VyI80R1sjmD8wOTbG5dvl7Sxchk87xxqIu//MarRRWCVWSRdc2V/M7n7qCmNMD4eBzTsHC5VaanUlRUBvDPI5ezGtAUmdtaavne/hMc6x8hmc3h1VexGW4BrJhURY0U0XyKz9bdxfnkEKOZKdb45neaV1SZBz+zk+G+SY6+28mRd87z3sunuOcT2/HNKtmuFHmjC8ueBpQPitxEHdMaxrSG0ZR1CDeBTc3NgguTSCyZZXImyamuUV7ad5YzPWNFXSkFvDoP376Ox+5YnOfTjnvXYxoWG/e0AQVz5Ysxnc0wkIjR4A/yVNdZjk+OsrGknDK3Z07h/3J8af02mgJXV+y1bIeewWle29+xyG92bYiCMBf5kS8q0rUdm6yVw7ANZLFwK3rkq6cyfEoroiDM+RjqcoRq70OkzSyqqOCSdILaZlTxAxPVdaFfw8Geq8PzK62YjokmXbt1eOuaGj794DaS6X10F8kH7GTnMPtP9NFUE8Hjuv4PvWtheDzGs2+euvaGi4QgCGxuq+Yrn7iNkP/K55yDjYNN3k6jiR5U0UWVawMz+UGm872oggu/UsmawL0YdobxzDnKXe3UebbNjdFvHsJyDCRHpkxrRRXdjGfPIyLhkoK45ACKoDOYPoJPKUMV3YxlO65KqgDWNJbzxP1biKWynOwsTmdo99AUbx7qZF1TBX7v0tvXZdFHQ+gP6Jz+t+TMQfpj/4PR5HfxquvnKJBhR5lKv0Q8+z5J4yxpowvHyaFIpVT4Po1f2zp3Hta2XG1xUVzS//qRTgJeF4osYtkOH79zI6nZMphIwIMgCIzPJEmmc7xzvJu6iiB+j45hWmRzJkHf0glKKpPntf3n+e/febNoGQcokMIt7TX8xqf20N5QxpnTQxx4v5uhwRl27GwkkciRTpVRVh4gEHQjSyIz0RQCAh6vhigKxKIZVFXC53ORyxskE1l0l4rPpy958akrMg9ubOO1M90c7x/hmaNnuX9DKyG3Pi9xXS0UJVKlSTLnk0NE88mCjMJVrsPGNVV84lfuxDRtTh3s4Tt//QqCKLDjzjWU14SRVthSHEt9n2TmOQRBQ0BBFD2Ioh9J9AMypcF/jSSsnqbRzQ7HcTBNm1Q2TyKVJZrIMDwe48T5Yfaf6mdoLFq0yNQFhP1uHtyzlk/ev4XqssX99tvvWnfV989NT/Av3/rpBy9Y8N7I1Q2eH2lsvyqpKkgoZHn27VNFqx8DaKyO8Nuf20vA57rk2jZsg65UL7Zj45bcxIw4zd4GVFHBciwcHGRBxrTNQqeMIDORm8ItuQhrQaRZkjSQHmEmH6VMLyGshuhLDdLoqcXBIWfn0UUNa7b2URNVcnaOuJGk2lVJ2spgOxbK7D5FQcQl6XNjA9y1o5nx6QT/8MyBomjZZHMm+0/2sXVtDVvX1Czrfr+Q7Sl2oMu2HZ589TixZPHSB7XlQX7l47dSUx6ct3hXQEQV3eStNDk7RV/qIDkriSq6C528koZ6UcREFl3Is9Zblm2QtqJkrChZM86U1cNUrge3FMZxbMJaPcejP6FMa6fVfwdJYwLTyeMWQ9RoWxZ1/Lesr2MqmmQ6lmJgNLri3yNvWBzvGObIuUHu2Na85PMvCAIh1x00hv45Q/Gvkc53k7fGmc6Mz21j2jNMZ16e+7coaOhKM2Wej1Hq+QjKojvAi5++aqsrJehz8e6JHrqHp+gamiqkrkr8+D06B88O4HWpJDN5jp8fpqW2lHQ2z8hUnDu2NC9pX8l0jlff7+Bvvv8O0UTxrmldldmxvo5f+fhttNWXIkkiGzbWousKZ84Mc89963nqx4c5e2aYnp4JSsv81NVGeO3V09TUhqmqDpFO5Tlzegh/wEVdfQnJRJbe3gnCYS9bttZTVT1/V/dwNL5gnadXU/nI1rV8e98x/ua19xmaiXNrcy1hrxtNlhHFawtwlPu9VwiVLgXLJlUODjnLwHBM1vobOBPvRxEl6vXINXVDtuxpRXUp/Oirb3DozXN87c+f5cyRPnbds47SqiAenwtZkRClpT8xXb57CfkqMa0xQEQSQ0hiGFHQEUTfrGXNzx5su2BRYTsO9qxFyYX/8oZFJmeQyRqks3mmYimGxqL0Ds9wvn+ckYn4qmgwiaJARYmfh/es5bE7NqyoOPVyVHp8fH7NliV9psJz9QiZbTt0DUzx5qHFKREvBl63xhcf20FNeegK6QgbB8M2KdMiZO08E7kpZEHGxkakoJ7tOA4WDj7Zg0/2cD7RTalegl/xIc2mMrNWlpAawC25SJopjkZPUqKFGMqMIQsitmPPapWJVOil5Ow80/koXtnDuUQXlmMRVoPk7DyaqNLoqcMtf3CfiKLIo3vXcbZnjNcOnC9KPcbZ3nEOnxmkpa4Uv2fp0YpsNs+5syOUVwQoiXhRilT3MzQe48V954oyFhQaEz5x7ybaGsrmXXmLiIS1enxKOSlzCsexUUQX4KCKHjxyBE10Y84WYwuIeJUI2qztiOHkSJvTgEDGiqGJPlxSCEmQCarVzOQHCCrVuOQAo5mz1Hq20Zc6iO18ELm8FkRR4M7tLZzvm+DpN08VxeKob2SG94/3sqm1asEO4KtBECRK3A/hVloYTz5JIn8cw5rGtBM4Tn5WM1FGEl3IYgi30kzEfT9B122L8sFbTfSNTjMwLuJz67x/qo+Hb1tHZcTH//2Pr9JcXcKeTU0oskj/WJRwwMPbx7qpiPgpCSytHjiRyvLy++f42pPvMR1PX/sDi4RbV9i1qYFfenwXLXXzCzdDgfxu2lJHRWWI73/nPSoqgyiqzL33b2BkOMrpU0NUVgUL0jXHB/B4NWpqwiSTOaLR9IKk6h/fOcpwdH6tREksdMBGvG66J6b5+psH+eGBk9RFgoS9LpRZe6er4TfvvZW2ipKl/SgXYflPIgem83GOznTyaNWt1LhL6EoOM5ydosZdOu/qo+/8KJOjMfIZg1w2T21zOacO9BCdSvLG00d5+6cnqKovoawqiMujIS9D0fahz9zChl0fx7JnMM1h8mYn2fxR8uZ5JKkMXd2IJKxOZ0A8meOtw12EA8V14F4MLMvGsh2sWb+vTM4gnTVIZXIkUjmmY2mm42mmokliieyqWm1AIb/dXFvCY3es595b2wgUydT2ApqCYf54151FG89xHDI5g2feOFk0XzxBKCjG79nSNG+xtyIolKhhOpI9CA6E1ADleglHo6co00vQBJWx3CRVrnJqXJXoks5Idhyf7EEWPxivylXB6fg5hjNj3BLeQlDx45J0ZvJR2n3NnIp3EFL8tPqa8CteBtLDJMwk0/koUSOOR3Jh2Aa2Y5O3Dcx5nAh8Hp1P3r+FnqEpzvdNrPj6yeVN9h3vYeuaGraurVm02vEFzMyk+Jv/+QotLeVs2FhLfX2EyqoQfr9r2e36jlOIUkUTxZmABODWTQ3s3d68YJpTEhXa/HddcRwOzlyK92LIokala/3cv3XJS4N3Jw3enXOvVbjWIFCI+J+MPkuD91YUUWMkfZqAWslG5bFL0sGLgcet8cje9XQNTXH49MCKF2GGaXH03BBHzw5x546WZZ0zQZDwqO00hP6QrDlM2uggaw5j2UkcTCTBhSJFcClNuOUmZGnhRV06k2dgeJqScGHhFQq4i54yuhBsqIj4KQt5efVQJ+UhL8OTMZKZHCVBLz6PzuB4FI+u4tIUIgE349EkiiJx6/rFe1jGkhle2neObzx9gImZ4knCeF0ae7Y28oVHd9BSW3LV30gQwOvVUWSxoJsninhmbekUVcLlUkmlcpRXBAgG3YyOxkilclRUBqioWDij8W5nHx2jk4s6XgeIZbKcGBxd9Hf8zK5Ni952PqxoeWc7kDJzTOZiKKLMRDZGysrOrhKuvEle/sFB3nnhBMl4hlQii33ZjWkZFgOdYwx0ji37mFq3jVO7XsOyY9hOAtvJIwoqLm03ilyPsMKW46thdDLOf/3HN1Zt/A8DBKHQ4bdjXR0P7lnDjnV1aEWKIqwmHAeGxqO8daR4Uaqq0oJ0hMetzpumcrCxHItyrQQQ8MguXJKLenfNXI1VrbsKv+JDERVEQSCg+JFEGcux51J0OStHWA0VUkWCRLleimGb1LmrSVkZmjy1yIKMS9KxncK96ZHceGQXTZ46FFHBJ3vI2jlyVn5Bu6L1zZXcu6uNofFYUYjn+b4JjnUM0VZfOudcv1h4PBo7b22mu2ucp35yGJ9fp62tgra2SurqIpRX+NH1pS2eJmaSvPp+R9G8z8oiPh65fR1lYd+S0pQFEcfl5zUvJksNnp2MZTvI2xLNvtsvGn/pC9aWulLuuaWV3qFpxqdXrt3VPzrDoTMDbF5TTXgZ0aoLEAQZl1KHS6lb9hjnusc4cXaItS2VxBMZdu9oRteKm1tWZJHGyjCGaTE4HmV7ew3NNSUcPz9MIpXjnu2teFwqB04P4DgO6xor0BSZ6pIAfo++6OdoNJHhxXfP8q3nDxblPF2Az6Nz5/ZmPvPQNpprSuYlwn6/i7q6CKIoUN9QiseroygSa9ZW4fXp1NcXZCwCATdr11XR3TWOpimUVwTw+nRGR2JomnLVeqr2ylJcK0jPXQsrLW5fkaGyR9YJqV5OxHqQkchaOSpdkXlXWADjwzOM9BfHiHch5PInyOQdJLEUWapAlUJcUI6w7Glw7A+bUO6HBi5dob2+jN1bGrn7llZqK1ZH6Xw1YFoWbx3uIpkuTmeMIMBDe9ZSWx5cMDyuiAoNs7VPF98zQdU/50J/+eTa5K274vUKVxllegnCrPjj9nBhpRXWgvOOUe+pod5TA0Cl/oFy8eUqxvN9pwduW8MbBzs50z224mhV3rA4fGaQ2zY1sLbp6p2IlyMQcPOlL+1lYiLOmTPDdJwbpbtrnJMnBikt89HSUkFzcxn1DSWEQp5L1PgXwjtHupkpVpRKgL3bmmmtLy2aJMVy4FVK8SoLe78tBYIAt29t4p2jPczEUyv2ijRNm9Ndo5zvm2DXxsVHYVYDfYNTRIIesjmDnoEpdm5pAE2mmJOFrinsWFtHTXnwktcrwhc65gv//sjt6xEEAcM06RycxOvW2Ni0OGPwmXiaF949y3d/epjRyeIRqqDXxd07W/nUA1tprF64W7+sPEDZrGzS9h0Nc6/fdXehRra0tJB6VRSJxqYyGhpLCzY1okBlZZD2NYVux6tFLn9hz1YyK5DkuBbqIiuruV5RCCGoeLg1spbe1Bh526DRW0Gla2FBR7dXJxBeXZ2ocOh2wv6Fb9Cfd/4VH5paSPVtX1fL7s2NrGuqWPXolO04mEtU+5ZFcd40k+M4pDMGrx44X6zDo74yzO1bm/C4rh4tWSgqsVCkYqHXLyZlS4lyLEZ9/2JUlPh5cPdaeoami9Ka3dE7TvfgFM21pUs2sJUkkYqKIBUVQXbvbmVocIaOjhFOnxri1VdO8eYbZ2lprWDt2krWra+msjK44Ao4b5i8uv980fz9qkoD7N7cQHiJdTA3O0pCXu6+pZVzvWOMTydXPF7fyDTnesfY3F5dND2s5aCprpSe/knGJuOUlfhQFGn2fihemYSuKvOS+8vFbC/8ac9KEzVUhCkPX7sObCae5qfvnOF7Lx5hZLI4/qxQyDzct6uNJ+7bQn1VqKgyKJcL9S4mDby+urxo+18NrOgqFoSCRc3GYOOitt/7yGaa1y/fi2sxWLu5GZd6c//oPyvwe3TWNpWzoaWSTW3VrG+uuKb+VLHQF5/hBx0nl/SZz7RvmtfmwAFOd4/SOzRdnIOjUEtVVRa4rq281wv37Grj6TdO0jkwseJUWTyV5UTnCNvX1VJRsvxGBkkScblV3G4NbVYNO5c3GRqcpr9/kmNH+7n3vvWs31CDPo9a9vm+Cc73r7xW7AJ2baynubbkqgK3H1bctrmBF/edZTqWXnFtVSqT50z3GCMTsas6LFwMx5ltlBDEOf++laKi1I+qSGRzBh63tirnTddkpCXUjumqwtqGxc1l07E0z79zmh++dIyRieIRqkjAwwO71/DxezZRWxEqerftzyKu69Jg2942tu1tu567/DmKDI9LpammhLb6UlrqSmmvL6OpJoKuXd8IYH88xv84+v6ithUQ8Kkqd9U2zU+qbIefvnumaOq/kUChpsx7FQ2mvGlxaGCIjvFJPr9jM+m8wbs9/RiWxeMbr64ddC1kDINnT57jk1vnNzZfKUqCHvZsbaRvZLooWmZHzgxw3642yiO+Ja2CHcchnc7T1TnG2bMjnO8YZXw8jserccvOZtrbKwmHPYyORnn9tTP89KfHCYU8NDWXXTHWK/s7yBTJ3SHgc7G5veZnLkp1ASG/m50b6jjbM1aUNv2zPWOc75ugvjK8qEhFX/S/4Tgmpd5H8arrr7n9xUjkjhPL7keRIgT1PWhyGY7j0DMwRVtTGQGfzivvnKOqPLColPFSoKvKqti3TEVTPP/OGX708jGGJ4onWFwS8vDI7et4/K6NV6Qsf46FcUPirQPpcSJqgLHsDFWuCJp09QnZtC1ytoFHvrSYNWUWuth8ys+mTMKNhigI+L06pWEvNWVBaitCVJcFqK0IUlcRIhL03DBF7Fp/gN/cvOuK1x0cLNsmns/RFZ3m7PQE6yPlPNDQQoN//hqveCrLgZN9RTu2LWtqqCr1X/WhbNgWx4ZGea2jm/vaW8iZJk+fOINP11dMqkRBIOBaukzBUnDfrjX8+LUT5I2VT6pD4zHO902wprF80ZHOdCrHO+90cOb0MH39U+RyBrW1Ee67fz3NzeXU1kXwenUEAdrXVCJKIj/+0UHGxmJXkKpUOsfBU/3kzeJYd6xtLKexOnxDa6lWG3u2NPHsm6eKQqrGpxN09I2zc2P9osQth+PfxHZyeNS1SyZVaaOT0cR3kKUQLrkOTS5jaDTKoRN9DI3O4PNoTEynitascDF0bf7030owFU3x3FunefLV40UlVGVhL4/dsYGP3LmeytL/c3Udl4MbQqrOxAaocWc4Gx/AtE3yjklI8ZKxDRo85fQkR8nbBrbjEFZ9pKwsA6kJNoWayFo5kkaGiBYgZqQQBYGslWcsO4NLUqlwha8gXz/H0qCpMvff1s6ahnKCPhcBr4tI0E1pyIvXrd0wInUxan0Bfn3zznneKeh0pU2DkVSCZ7rOcj46RZXXj1edv77pbM8Y0XhxhPEkSeTWTQ2L0t5RJYmwx0331DRht5uZTJbqYOEBNhSN825PH2PxJIossaOumk1VFSiSxFA0zvu9A0ym0owlklT6vXx883rCbhenR8fZ3zdINJPl/jUf2PpYts1gNMbr53uIZXMEdI1bG+poL1+eHktDdZgNzZW8c7Rnxf6IpmVzqnuEPduaFk2qorE03//efoJBNxs31tDeXkV9fYTSMj/KZbVZkiRSVupH05R5FcHPD0wwGS3ORCqJApvbq6kq0kQUzfUQzXdR4dqGLl8pXGvZeQZTbxHW2vGpNUXZ52JQUx5kXXMlg+OxFeuWWbZD58AEI5OxZSmGLwWS4EYQZHLmEKZdSJO5dIWW+lL8fhe6JtPcUIauX3DkKGah+tLSf9fCVDTFs2+d4slXjxc15Vce8fHxezYVOlcjN1bTaynIGiZvnuvBpShsrCkn6Fn8tTQ0E2ckGsfv0qiLBNGV5WdebkjCXxYljkd7yFp5zieHcUs6Z+IDnIsPYDk2Z+P9dCaGccka3akRJEEkYxVauKdyCQbSk4xkpjAck7SZYzwXJW3lmM4nmcmvvHjy/3QIFOql6ipCrG+uZMuaahqrI/g8+k1BqAAUUSKo6fP85yLsclPjC3BLRQ2/sH4rjuPwVOcZxlLzXxv7T/YVrRy1ujRAY1VkUYX6qixR6ffSMT5J3jRRZh3WoUC4qgN+1leWI4six4dGGY0Xjv+ls50kcjnayiIMx+JkDXPuvITcLqoDfl44c2nR/Uw6w0+OnyFvWWyoLKelNLIiJ3dZEtm7rblok8TZnnFmYovvvPP5dD7+iR18+Vfu5OOfuIVbb2uhqjp0BaG6gPKKAI9/dNu8qb+jZ4eKZjBbFvbRVB25ZoPCYpE2x5nMniRvz681JAgiXqUa5TobxUuSyM4NdXiWKFuxEHqGphmdKF632kIQBQ1BUDHtBJaTBSAS8tLaWMamNdVsWVeLS1cuolJFLlQvUvpvjlC9UlxCVRHx8akHtvDYnRsWJFRd09P81b53OToygu04HBoe5t++/hojidU/f1dDKpfnv7+0j79/+9CC4qAL4cTAKF994wDf3neMiRV2AN+QSJVPdtFlDBPRCoWp0/kEedvEcRyOR7uZyScJql7KtADdyRE8so6NQzSfZCw7g2GbxIw0olnQyfIpLkKqj4yVw7CL5779fyryhsXL753j0OkBfG6NgM9FdVmAppoSWmpLaagKrcgU+HqiwR+i2hfgveF+prMZGgKXpgBt2+HAqYGi7W9tUzmhRfpYyqJIyO2ifzpKYyRMddA/Fy0xbIvhWILxZIqReAIciNZlqA0F6J2e4daGWvY01bO/b5CGSAhdlhEEgaqAH/Uy1WDHcZhJZzg6NMJ/+sgDVPh9BYHJFc4XOzfUo8hSUdT4RyfjDI5HWdNUjqZc+7Hk9ercd/96lEVsCxAKubllZ9MV6RfbdjjWMUy2SKSqqSZCZYn/uiw+4vl+RtL7ieX7aA18FF0uXNuT2dNMZ8/R6H8QRXSTt5McnfwbdpT+HuAwnetgIPkWDhY+pZY6791o0tIjEpvbq/G6taKodU9GUwyMzZDO5nEXiajNh4JUiTOrul44547jMDQWw+9zoakyB4/3cdetbXg9xW260TW5KOm/qWiKZ948xY9eOcbYVPGITGWJn889vJ37b2u/aqR9Kp3m8MgwZR4vrZEIh4aHeK2nmy9u2ly0Y1kOLNuma3yKTD5P1lja/Zw3TXonZuifivHELRuoDS8/0nxDSFWbv4YKVxhVlJEEEdtxqPeU4TgF644KvfCeS9LYGmrGJ7vZEW7FI7vwyjoCArIoFXzsHBtVlNGkgneZLNz8QpM3O2zHYXw6OdcyLQoCbpdKwKvPpgI9tNWXsqW9hnVN5XiuU8ffcnBBRmEmlyFvXXmjDYxFi1qLsK65gtAiUxiCIKBKEmnDZCgao7kkwkQyRSZvcKBvkP6ZKHe3NXF+fIqeqZm5zrQdddW829PPyZExEtkcTSVhtGuQXMO2yZkWpT7v3L5XOu+Xhb0015ZwsnNkZQNRSAF29I6za0M9WujahtuCIFyVUNm2zchwFFESqawMIooiqnrlhDYyGS/4XRbJpqm5toTykuuTMtGlEGF9DcPp98haM3Ovu6QIfcnXqPLchiy4GEsfJm8nEBDJWJN0x39KnfdOLMdgOneOgdQbtPgfW/L+I0EPTbUlDE/EVkysLcumZ2iKqWgKd8XqkSrDmsS0ogiCgjA7/fX0T/L+kR46esbwulRs21m2Kv/VoGvKiiO7U9EUT79xkh+9cqwokhYXUFnq50uP7+KeW1oXZXJd7vEykUqRyOcYTSZxKx98t9MT4/z4zBlylkV9IMjnNm7EpShkDIP3hwZ5vacHRZLYWlHJvU1N2I7DvsEBjo+O4jgO0VyW3bV13F5Xj2eBko1iw62pqLLEeDxFbgFfwcXihjCQgOIhoHwQrr68JuPiVV6JFsBxCkRLEAR8s55k11oJWtYM8fRTmNYgQe+XEUUf2fxxXNoOxFVUVf9ZhO04JNM5kukcQ+MxREHgeMcQr7zfQWnIy4aWSnZtamB9c8VNV5w7mkownk4iCeK8ofdj5wYxlriqWQghv5u6yvCSOiE1WcarqZwaHee+9hYmkilylslkKo1bVdlYWU7P1AyJ3AcK5rIoUur1sL22inKfl+rQtaUbXIqCX9c4NjTCtpoqLNvGchxUafnnq5ACqi8KqQI43T1GNJmlZBGk6lrI5UzefrsDt1vlI49vW3C7M92jJDPFsSXye3XqKsPXTVZElXwEhHpU8dLfyy2X4lUqmcqdxi1H6Eu+SoPvPhxsYvk+htLvYDoZHMcmZ8eJaGuWtX9JFNm6ppoDJ/swMyvXLOsamGJsKrEqosGOY5PKn2I68xp5axJNrkSe/d3KSnzs2dFMKOBG12RcunpRTVXxsJBO1WIxFSsQqh+8fJTJIlrPVJT4+condnPH9uZFX7vVfj9TmTTjyRSyKM7aZgkkcjn+ev9+PrZmLWG3i7f7+vjB6VN8fuMmeqMzPH3uLE+sXU/OMjk5Po7WL7OzuprT4+N0z0zz6fUbGUslOTk+TpXPx8bypYkCLxeyVFh8Z/LGihdYN0VY51oX71IFCgHimR9jO0lyxjlsJ4kslBJPfRddWQvSz0nVSmA7DrFkllgyS9/IDGd7x3h1fwdNNRH2bm9h18Z6IqvcTp4xDcbTCz9YTNtiNJXgme5zHJsYpSkQxqdced5PdY0WTUqhriJIeInecy5VpqU0wunRcXyzNU5eVaMhHOLpk2f5N8+9iiyJ+LQPjj1jGJweHef8xBSiIHBbYx2PrG/Dp2n87b6DdE/OMJFM8Z9efIO1FaV8fNM6ynwePrJhDd8+eIxvHTxGxO3igTWtbK9bmW7cpraqFX3+YnQNThJPZGbVpVc2oeXzJhMTcYLBq1+H5/snilZPdcHTbTXa5pcCQRCp89xBf+p1wlobCWOQctd2wMGyc3jlKtYGP3tha9QVGAyva6pAVWRSRSBVA6MzTM6kLjn/o4nvksyf/kCbCrCdLA4Wo8nvEcu+d81xHSwMO0rWGCBnDuBg4FU3okmFa9fr0ampDPL2gU42rakhlckTCropZqOeIksosshyC9+nY2mefv0k33vxCNNLqD28FipL/PzWZ/eye0vjktKuIZeLwXic89NTlHu9s5Fyh/PTU1iOwy3V1fg0DUkQ+fN33uKT69bTOT2NX9PZWVNDzjSZSmc4NDzEzupqREGgIRhiZ00NQ/E43TPTzGSyRfue10IikyNnWrOGzCsb66YgVY7tMNQ3ScexASZHo6TiGfI5E01X2La3jU23tlx7kMtgmAN49LvIG+cBG0GQsewZHIoT5v85CnAch0SqYNo8PBHn+PkRnnnjJPftaufOW1pWjVydmBzjX77506scF+Rti2gug2nbPNLURpX3ysmjs4iCj7UVIXzuxXWeumSFB9e0gFDQ0bq3rQm/rtEQCRU6CBtqaSsrwXZsFElCESW8ukrXxBQj8QSf3rqR+nCQvGXx397Yx20Ntfg0jUfXt5MzLX5x51bcqoJ71iPLrSjc1drIhqpyLNtGFiVC7pV3WrXXlyFLYlHqqtKZPKNTCfKGdUWhv+M4nD41tOg6sHg8w/jYtUlV7/A0uSJFKisivhtipj4fyt1bORn9B3oTL1Ph2oYsuAAHj1KB5RiIgkxArcd2TCxn+YSoqaYEl6Ywc+1Nr4lMzmB8OkEma+CeLfSP5w4xlX4F+6JjdCjoicWzh0gIRxcxsoPjmDhYgIMu11LiuR9dqZ3b4uS5YXwenUw2T9/gNHVV4VkB0OJEqzS1UE+1nAl7Jp7mqTdO8J2fHi6KhMUFVJb4+YNfvJtbNtShL9FLTxJFVEni7OQkWysq8cx2y2VNE12WUSSp0PCkaSRzeRwcDNvGJcvIoogtSWiSRMYsnEtVkpBnx1Rmf3drNXQt5kEsneVgzyBjsSRhjxtVXhktuqGkysib7H/1DM9/5z0Gu8fJpvOYpoVtOTiOg9fvIlzmn5dUZdI5xgdniEcL0YpwqZ/SqhCqVvhKAhdy5oWrOGeco9DseHN0r/0swjAtpqIpovE0nQOTvLjvLB+5cwN37mgpekokYxh0x67+KFcliZZgmE+3beLhpja86qXHkM7kGJmIF02TpqY8iG+Rxa2iKBC8iNRc0JVyz9YQeDQVzzzdebFsjrxpUen30VQSpmdqulB0Pvt+hX/+qIMgCLhVlboi1yh43Cq1FSF6horj6TkwNkMmZ1xBqizL5t//ux8vmgDbdkEYtK19Yc+0TDbP2FS8aNY05SWrQ6omsicZzxxHFjQ8SiWtgccpc22hL/EKg+l3GM8eJ2PNMJE5RmvgY7jkEmTRRblrK53xp7ij8k9nRxLwKlW0Bh7n8OT/wMHBJUdo8j1MuWvLso7NrSvUlAcZm4pjFSHiOzIVJ57KzpGqmsBv4NO2EcseIJ47SM78INXskF/SvSug4te3UuX7RUKu2xEvsizL5U0Mw2JyJsXAyMxFJSnFeTjoaoFMLBXRRIafvHqCbz1/kHiqOGlqgIoSH3/8qw+wpb0KdZHNHpejNhDgjd5e7mlsxDVLqlrDEQZjMSbTaap8Xt4d6GdTeTmqJFPj9/NSZxexbJa0YdAfj9EYLKR6C3ZdS8P7nf0MTMfmngmJbOH3SeUMXj3dRefY1Z9JtuMQy2Q53DvMsf4RcqbJ2uoygotcGC+EG0aqJkejfP3/fo7Db3WQmEnPm8eUFQlzgaKxXMbgtacO8/y3C+Hf9Tsa+exv3UfbpsLqw+d+jGjym6Rz75Cf7sZxcoT9v4Uorrxe4+e4OizbIZ7Mcvz8MD1DU+w73sNnH9rOuqaKohWA3lJRzSuf+uUF3xcFAVWS0SQZj6KgSfIVvn99IzNFE3yUJJHqsgCeq6ioFwNryks4PDDMf39zHzaFJcJHNqyl1Htj1LtFUWBNY1nRSFX/SIFUzadXFI9neOKTt1Befu3OnGQyx3v7Oq+6zdBEjHSRVNQlUaA87CPgLa7OUrlrK3dV/jkONgIgCBKKUCBu1Z7dlLu3YzsmAiKSoCCLF0idwPrQF2gLfBxd+mDiknFR772PavduHBwEQZwbbzkQBIH2hlKOnhvEsleurj8yUSBVFyyLXHIDmqeKUvcj2ORI57s4Nf5rOE6eSt/n8WtbFzGqiCR60OQKVKkMSfQioHDxAvvOXa28d6SXiakE9+1dU5BVKKJO1XKEPxOpLM+8eZJvPnOAVBF8Ni+gvMTPv/+tR1jbVI68gprKplCIU+PjeNVCmg8g4nbzG7fs5N+/8RqGZVHu9fE7u3YhCQLtkRJ219XyO88/iyyKbK2o5JG25TusPHv8LK+c6pqLkl8gwvFMlu+8d2xRaXjbccibFqZt49FU7t/QSnlgZY0mSyJVjlM4cMu2V1SQPNI/xX//1z/kxP5ujGXWM/hDHirrIjgOJKJpjr/fzW33j9K6oQZBFNCUdZQG/hUBz2dwnCyKXIsklSNwfboJfo5CtCCWzPL6gU7OdI/x6Qe28sjedfg8KxdndckKTYErxRAvx9Vqc7oGp7Cs4lnT+D36qnpjdfSM8aMXj3G8Y5icaXLXrlY+et8mKiP+Za2Ch8aiPP/GaY6eGeTuW9t44sEtSx5DQKCpenkCovNhYHSG7AJER5JE7r1vPdXV1y5kjsUyjI5Gr7pN/8gM2VxxSHXA5yLkdxe9a2w6nyRqJAirASzHpkz/4LtnLBtFdOOW53+mKaLnEv0q007RF/s6pp1CkfxUej6KLq+8Jq6hKoIsiUWxLBqdjJO4KCIjCCKSoAOFZ4aih9HlGjJGL15tExHPQ4satxAHERckSkdODXDm/DCpdJ6JqST11RG8s3VCxYCuykvyE8zkDF4/2MnXn3y/uIQq4uM//+5HaK0vXXbt39bKSjZXVCAIArfX1aPJMn92/wO45MLC9c76enZWV+MAkiDgUgoE1a9pfHr9Bj66Zi0ChYYbfTbV9oWL5BgqvT5+e+euaz7TPrp1HW5VZV9n/yVRKQfILDGlXxnw8at33cKd7Y3X7KS+FhZNqizb5mTnCM++fYra8hCbWqvY2FqFbdkgCLNRAIfCBVv4/3wPmPhMiq//+XOcOPABoRJFAVESEUUBVVdIxq6dNxZFgaqGUmqbyzh9qJdUPENfxyix6STB2ZZmUfSjqxdWMgKscj1VfWWY3/n8HZQtwlF88bhwU1/7YW1YFoZhYZgWOcMknswRT2aYSWSYjqUYnogxNBZjJpHGshxsx8GxnaLVFC0E07IZGo/x1997m86BCT7/yA7qK8NXuLMvBcXozOkemCxaK30k6MHtUldNnyhvmLzw1hla68v4rS/eCbMrLL9XR5EkbNvBME1wZiMScuGB5DhgWhaqIuM4BbV5x3GQZYnKsgCfengrLl1ZdrG2IAjUVASL9j37R2dIZfNXFKsLgsAdd7RTWupflDaVy1UwV74ayRkYnSGXL5Lfn9eF31t8cdyUlaUj0YdL0vHKLoYy4xi2QVgLcCrWRZkWxiO7qXNXMJqdJG+bxIwEETWIKip0pwaocZWz1t8EOIgoNAS+jGFHGU7+gFL3vYylXkSVwpR7HkCXF06XLoRiGoePTMaJJRduVhAECY+6hqzZh4B0SQpvJdi7q5U9tzRjWTY//ukx4Mqu9JVgsZEqx3HIGxbvHe/lv/7j60UjVAJQWxniT3/nIzRWR1ZE/pWLolsXuocvdquQJQnfPBEwQRDQZBltnpol/aLXJFHEtYjraWt9NZvqKrFth/F4kpdPd/EXz72JX9d4ZEs71aGrR7QFAXRFpiYcZE1lKWGPC1EQVnwPL5pUObbD6GSCvVub2bGuDkkU6RyY5JX95wj53KxvriRvfCCmFvDqtNZdql5s2w4v//Agpw50Y8yuEF0ejd0PbuSej21jzeY6EOCJTf96UcdUVh2kurGE04d6AejvGmdyLE6wxEcq+zqa0o4if2DdEE89g9d1P8IKwt1Xg6ZJ1FWFqSlbunCYjYNhm9iOjSRIczpcCTONLqroUnEibI7jkEjn6Rma4kz3KKe7RjnXO8ZULI1hWhimXdSHycXI5U2efuMUA6NRvvLEbja3VyGJ4rIuYsu2ydsWsiiiiAuvLBynUCAJH2hWXcDwZKxoxZCRgGd1RQudQkoTofCd3C4V7+yD0XYcDpzo40cvHCWRzlEW9vJPPn8HkbCHM11j/O333uW//MkTpLMGbx3opHfo/2Pvv6Mjy7LzTvR3fXiHiID3QCIT6X2W913d1d6z2SSbViRFijPSUNTSjKS3NO9RMxKXpJmhRM1ITdE0yTZsW91V3V02qyqr0nsLJDwS3oU3174/AokEEiaBRGRVk+99a3VXFSLi3Btx7z1nn72//X0z/NaXHkMUhFIrsSje9zUXBKgrozdYoWgyk8xiWkuz4aIo8Pt/8NF1j+NyKXzoQzsQ11jIJmczZcmuAAR9rrJkYO+GIkgICOStApIgoogyCSNNWA1S76miQg0xUZgha+WZKs5SsAzafPXUeyr5wchRgqqPwezYfFBFqTFCUBAFFw7glhuIe54lrV8jpd+4v6AqFiibsn5RN5lN5tANE20V8rRP3cZs7k0EoXztebNzWVKZPIZpMzaVxLDKc1/cxnoyVY7jYFo2F7pu8b//6atkcuUJqERRYEtDnH/9Ox+hvir894ZVLIoCIhKO6FAXCfLxPVv572+dRlNkXtjdwb7GjXU2l2tDtO6gSpJEHt7TxPdev8T1gQkObK2ne2iK+ngIB+gZmqS9Ic4P377Cri217OlY7kM1M5Hk9NEbzM7bEfiCbv7hv/40jzy/E3Ve2ye/ATJeqMJHxSJ+xfRYgvRcBscxyRePI4kBZOm2zoVNKvcDPK5HEXlwHTol3sPGL85EfoajkxcYz8/Q4K3kcEUnIcXPrJ6mQg0gCSKiICIJIkXbQBEkiraBjYMmKvNWPjrgoAgy6iom1YIgEPS52NNRy56O0k2XK+h0DUxy4vIApy4PMjqZJFfQMcpE4L0bF7pG+OO/eYvf/Pwj7O+sR5GlDf9mfck5vt19hYdq6nmyvmXV99mOw4/7u8kZOs82thHz3CmHzCSyOGWSU4gEPbhd5dk1rwRNlXn0QCvfe/UiPYNTPHm4na0tlfi9LhKpHH/94hl+9xcfp60hxo/fusp//85x/ulvPAvO0gKGA2U3i41X+FFkCWOTonm3MZfMLQuqNnp/SJJIU3Ns7eOkcphlWjyDPhf++WaMjFEkZ+qlDLAAYdWDKq5+j9uOzWwxj2lbpa5Mzb3AUREFiSp3FNO2GMiOYDk2siChijK2Y5PQU6iiTH9mhKSRxS97cMsuBEGk2VdLQk/TEWhaOJbjOJh2CsNKYttFJnM/wbKLSKIbnPt73mNh/3wAVJ4W+GQmT0FfPagKuY5Q8A2jycvXmPvF6GSCrt4JdMPisUPt+NzaqqXC+4F2j0zV7Sxy98Ak/+ZPXyWZKc9vKUkiO9qq+V9+/UPUVYWW8UrLhZSRRkDAK3sQVwh2HcdBt3XyVgGv7EERyzdX3n6uZEmktbKCkdkkApvPON0vNsSpkkSRjz2xg9GpJK8c76I2XrJjqIz4qazwk8oWCPhcyJKAYVrLIvPui0NMz/McBAE+8ZVHOfjktoWAaqPQXCqBsBfVpaAXDBIzGVLJcYqGjmmNU9Sv4sy34tpOBihfbfpBoNIVYWugkbSRZaaYYqqQZCQ/xf7IFnozowQUL7XuKMemLtHmr+XsXDcZI8+OYDNtvlp+MPouHkmjI9DA7lDruo/rcans3VrH3q11fOXjhzh7bZhXjt/gas8Y04ls2Xbzi3FjYJI//pu3+d0vPc6B7Q2oq3i2rYbRTIpvdV3Gq6hrBlWSKPLGUC8Xp8borIgvBFW27TCXzJWt9Bn2e3Df5328XuzeVkdLY4yzlwf5zk/Ps7Wlik89u4vB0Tmqon6iIS+iKPDI/lb++sXTywdwnLJnIQVBQJJEYhEfo5PlUaafTeVKDSqb+D0dx0HXTUBA05ZPc7btkEwXyiIFAeD3uhY6XP+69wx/2n2SuWIOVZT4o0Of5JmaLWjSytNtQs/z68e+ztW5cbYFK/nTx36OmLtEIah2R6l2lzhrhyp2cLvPU0CgwVu98O+L/34b+8LbsB37zgLjiAiCzGj6+8iin2r/J8no3RTtaRAE3PfpHyiKAvEKH1Nz6bIE7MlMYc1ytE/bSZu2c/MHWoSQ34Nl2aTTBWZmMyXZEUekXJwq9zoyVYOjs/zhV19lYro81jOKLLF3Wx3/0y89RV3lgwuoAP6f3q8CAv+g9VcJKoFlr+u2wXszJ3l57Kf8Rssvs8XfXvZzkEWJLZVRplLZB8ptved5rPeNtu1wuWeMvlvTCAI8ub8Vj1vl+KUBZFlCkSWKusnh7Y1Yts3A6CzbmiuXjDF4c4LUXEm4zBtwc/jpTrzrkMRfC26vhseroRcMcukC+dw0ueI1isZNTGsSsVjKZImCm5DvK4ibELp70JguJjg728W2QCN7w+1Yjk3SyFC0DKrdEa4mB5guJlBEmQuJHlRRpjPYyNm5Luo8cZJ6ll/uWB9xczV4XCqP7WvlkT0tXOoe4XtvXOJi9whTs5mytEwvRt/IDP/9+yfwuFV2tFY9MD9Br6KSLBYoLrKpSecKZfN7A/B6tHV51t0v7Hnum9el8uThLVTHgnzr5XPMJLK4VBnTsjAte143rLBgCitJApZlY9s2pmWTKtMOeDEEQSAccJcvqErmNp0lNU2L8+cGURSJ/Qeal72ezRfJ60bZsnYel7piplK3LV4cusLOcDV13tCmd8+Lg6bV/n0xFmcNZNFDc+jXl7zuU9pwcBCFzT17Yb9nSXC3GSTT+bJph60X564M8dihdqrjAf7qe6cwVtBK2ww0bW0z5fGZNH/0F2/Qd2u6PMdTZQ7vaOR3v/T4A81Q3UZEjTCQG8JyVt6A21ikjDSKIBNSykcXWAxVlnhkSyOyJBL2fHB6cRsq/x3a3sC+rXVI0h1uSkdjHNtx1tVJMDeVpjCvvFvfFscXcCNsshYvKxKyWpoQTMNCEhqI+D+LKARxawfRlPJHxA8K1e4KwqofEZGsWcB0bNJmjoyZp84TI28V6cmM8JHqw5CBpJHFsE0ej+9BFiVCavna6kVRYM/WOna01XDsQi/f+ukFugYmyqKcvBhXesb4qx+d5re/8ChNtZGyq1Hb89kZ3baW8KdmEtmyKalDSa9HWSHbNl4YRhFUwmpsxbS4YevM6pOooouwunoXXaFocGs8gWFaKIpE98AkFeESOb7UdSZyvXecZDrI8fP9PHagrVTq9buxbZsrN8cwDIu+4ekFs9RsrsjweILZZBacUjdgKODB694YN0wQIOAtn5RAOcpyxYLJ+XMD+APuFYOqRDqPUcYMrEuTVw2qj433cb1xgkq3H3WVbNUHBUEQy1LgCvrmO1/fh0zVg0Ao4GFiOkW+qKMo0jzxvnyBiEtd3Ux5ei7Df/rG25y/cassx3K7FB7Z08w/+OzD1FdtPpBfDyJqmMvJq5i2uWKTgeXYpIwUiqgSWCGTVQ6ossQTW1t4YuvqlYv3Axt6wgVBWCalIAgC0jovWiGnY85PZMGwD3mDJZ8Vz2nx/y86D5/7I4jiz4a68XqgigohxUfEG2CiMMdwbhJREEkZOWb0FHmrSKOnEgEBv+xhf2QLb01dJGMWCKsBFEGiylVR9vOSZZEnD7SztamSv3n5LK+f6mYmUT7fKYBj5/toqA7zCx89QDjgWXESWAiM5knnRcucV+m1yBkrB3qW4zCWTTOcSaJK8hJC+2wytzDWZiEKAm6XsmJ6//sjf4ZfDvHZul/HJS2/HxP6NH87/F9p9+/g+aovrHoM07K53D3Kle5RAEJ+Nx96bBuVFX5kWeLLnzjAS0evcvx8PxUhL1/86H4EQSAS9PD8Y518/9VLxCI+OlvvaIWNTiZ543gX07MZBEHg6MmbHNnTTGvDxiQSbvP0yoXZZG6ZIKfjOKRS+VJrdsCNZdkk17DrSCbzpDNF/IGVg71EOl82DpgglHzd7i5hK6KEiIBum3x/6DI7IzVUuf0fGNfjQSLoc1OuqCqZyZc5qLp3B/XuzjpeffsaE9Npdm+vQ1HuT/18NbjUleeH2WSOP3/xFEdP3SzbsToa4/zSxw+VSOnv070W0SIYtkHWyhHFoWAVGMgOEVQC1LirsR2LjJnBK3lwSS5M2yRlpEmbaQp2EcexkUWFoBIgpARRRAXbsRkrjKNbOlXuStzS0mc5Y2a4lRslpkWJqO/fd70XPrBt02YzVFCaaAsFg+J89sTlURcU1SXRj2XPYNpZFj/oityIIPxs7RahZBwd1Upp0TrPHYLtgUjHwr/vDrexO3xHXf7jNQ9jOTbiPGfi+eqDD+z8qqIBfu/nHycW8fHd1y4yNp0q6/gvHr1CR1MlTx5oWzHtXrQsTo/fYiBVUlG/mZhBtyyuzUzynZtXVxyzYJqcmRjh0tQ4O6NVhLQ7C386Vyxb6celyaiyvOJDHVaizBpT2KuQgC0sinYBvxxa8xgBn4vPPr9nVS2p5roov/sLT6xwbgqfeGYnn3hmOQelvSlOe1N82d83CrHMQVU6W1gW8DqOw8svXURRJD73+UOkUnm+9c2Tq45RyBvc7B6npia04uvZvF42PpWmyGjq8usfVFzUeUP0pqdL2arEBFGXF2UTpTbLtknoeSYLaVJGEd0yEQQBt6QQ0TxUuQO4pKXnYjk270304wCVLh8doaW0jJypM5CeZbKQQQTqfWGa/BVLQpCcqdOdnCKh56n3hqj3hpZk3YJ+V9nyOtmcvmYW0XEc8uYAqhRFXoXO4TgOlpOhYAxj2LM4WEiCF02uQZViy6QY+oamkGSJyliA8clUSWpFgfIR1ZdnqlKZAt99/SI/PHqlrNSKgm4yk8jRVGPdt1r6RhFRw8iizKw+S727lpvpHv6vm/+F7cFO/sctv4Pl2GStHCG1tMbNGQnenHib3mwfeSuPaZsIgkijt4GnYo/T4mvCdmzemHiLG+luvtz4Rbb6tyzJ9p+du8DXBr7OrzX/EkcqDr0v33M9eF+jC2/AharKFPI6qbnsqmrp64WhmyRnMuTmeSK+oBuXp1S6KBpXyRfPops9iIIX204jin4igd9Dv89nZAABAABJREFUEn52eVUbhVTGtuJ7QZYlvvzCAXxujT/7wQkmZzNlGzuTK/L1H59lS2OMxurIMh0V3bI4NznKy/1dTOdyJIul8ujrQ728PtS76riaJFHnC/Kptm1Uee+o6Rd1s2ykbZe6cukPIKTGGMjdxMYuKVgvmqRLcg8GhqMTUEqijrZjkzPTTOlj5MwMIOCTA8S0atySF0EQ0O0it3J9BJUIKXOOgpWj0lWPJEiM5YcAaPC04ZF984uLyZwxRVKfo2jncXBwiW4iWpyQEl2YqFLGHLP6JD45WPqMPoXlWLgkN3GtFq8cWLGEiQC+TVo7LEbRMJeVZh0HurvH8cw/36lUnhd/cI7GpiiuFQjthmmRWCOjqptW2a6/qsorbgQM2+K52g6MYYtriXG+O3CRXZFqKjTvfe2q00aRG4kJjk30cWpqkMHMHEk9jySKxDQvW0OVPFnVzsOVTVR5Agtzg2nb/LPTPyRRzPFcbQf/50OfXTLurWyS/3j1KEfHepAEga+0H+Kf7HhqCbG+Pz3D/3bxVc7N3OJ/2P4Ev9B2YElQ5fOUT6NLN601gwzTTjI49x/wa7uJeJ7Goywt95Qy2LPM5l5jIvO9eUNmHU2uJux+nLj3U/i0TkRBw7JsdMOkZ2CK3Z111FeHS+LRC/dU+eaIxdSGbL7Iy8eu8c2fnis7f+xG/wTf/Ok5Aj6Njqb4plTT14uIGkEWZGaKs9jYXE91E9diDGaHyJt5LMcia+Zo8JQcT0zbxMZmq7+DKldlSaIp3ce5uQt4JQ9xV4ygEmBHsJNrqRv0Zvpo9NTjlb0Lnz89exa/7GN7sPOBf7+N4H0NqiLxAC6vSiGvMzowTTqZw7ad+xYimxpNMNQzgTVfKojXhglGSgtnOvcSohjCtKbxujqw7ASmNcaDFgC9jdOzV9kT6kAWSzozlmMznp/GxqbeU7XmZy3HZjQ/iSoqVN5V0ksZWRRBRpPUJeRDx3Eo2gZd6QF2h+5f+v9eEEWBjz+5nULR4C9+eKqsBp83+id48/RNvvSR/cs66byqws917GJntJIbs9OcHr/Fe6ODNAXCtIdXLleJAoQ0N4er63mktnGJ959hWmWaLksl0tV0esJqlLyVQbcLeB0/I4UBpgqjNHs78CkhclYGERG/HMJxHBL6NOcS79CbuY7plIQpNdHNVv9udoWOEFDCZM0Ur0z8LdWuBnJWlqFcD9sCe3GLXoZyN5nWx3k8+lEeij4HQN7K8e70K0wVR7FsE9MxAYcGbzsPVTxHTCt1kd3K93Fs6seE1TiSIDJdHMdwDCzHZKt/Dw9VPIdPDi5bPAVAU8s3cevG8oBHFAV+87eeWiIyGYn4+JVffXxF25pUMs8Pvn921WOYhlW2zk9ZFFcs7eQtg63BSiYLGQYys7wz0cu1xAQPx5uQN5itSup5jo718Nc9Z7g8N4YkiEQ0Dw2+MKZtM1vM8epIN+9O9PPpxl18pf0g9b4wkiCWLEKCcd6d6GMgM7cg3bB47IH0LFAqmU/mM0wXstR67/yuo7kUKaOAiECTL4LnLsmWcl5/07TW5DumimeYzr3CbP4oshhaFlTZdo653JsMJf4zRWt0/q8CBXOYsfQ30K0pGkK/i1fZSr5gMHBrBsdxGLw1QyqdRxRF9myvK2uWZ7FOVaFo8Mapm/z1S2eWqMeXEycuDRAJePjKJw9RXxkqmzjraggrIRRRYU5PYNkW3embHIjs463JY/RnB4lqFeTMHGElBEClK87n6j6FLN75jZs9TaTMNBOFSZJ6kqASoN3XSp27hivJa+wJ7cIjleghI/kxBrKDHAzvxyO5l3O4bJtErkAyV0C3NvasN1aEVvRdXS/e16CqeWs1wYiPxHSGuek0V0/3U98Sx3MfpYNiQefqmX5unB9a+FtjeyXRqtJE4DgFPNpBbHsWt/YQqtzM2Ozv4qzSnVBufGvoNZq9NVSoIRDAsA3OzF1DFdV7BlWOYzNdTOKVXcuCqkuJbqpdMRq8VYh3lTFN22QwO/ZAgyooyRR88umdzKZyfOMnZ8uqZ/XDt67w2L5WWuuiS4JtSRCp9Pqo9Pp4qr6FXbFKehOzfLh5C/9w9+EVxxJFAVlYWVxUN8qXqZJEcdWNQViJ4lDKAgWVCt6d/glXk2d5ofrn2Bd+jIyZRBYUAkqIvJXlUvIkFxMn2RbYS5tvO5ZjciN1gXOJYyiixt7ww0ApiB4v3OJwxTOoosbl5Cka3e08Ev0wx2de5cTs6zwUfW6e8ygRVMLUuZsJKVFsbLrSF7mRPk9YiRGL3RF8zFlZZjPX2Bk8xOOxjyEIAhfm3uP03Ns0eNpp9+9AWjZtCGXt3DQMi7vXVEEQqFqk3K7IEo2NUdrbqwiHlzdopFN5wpHVfT4N0yqbRpkoruweYdgWDg4fre/kvYl+elJTfLv/ArvCNQTV9Wd2ipbJyclB/rT7BDcSE9R7wxyJN7I9VE3E5UG3LPozM7w30c/VuXG+3ncWSRT5R9seI6C6EBDoDFVybKKPhJ5jppijcl6ywbRtpotZxvMpPFIpmzJZSDOeTy0JqsZySdJ6kYDqotLtXya4q8jlW7QN01q1XA6QKJwAHETBRdC1f8lrjuOQNwaYyHyXojWKIkbwabvQpDgFc5i0foW5/Dv4td245DqgtNFqW1QGL3cTC5S68SRJwDAsjp3v42s/PM10onyZ/pXw6okbBP1uvvzCfipC95cdXS/csguv7CVlppjT5xgrTPD5+s/Qne6hK91NQNlP0S4ulP8cHJJGionCBGkzg24b5K08c3oCcNDnpZB8io/OwFZeHn+V4dwtKl1xVEHl1OwZTMfiUMWBJdlz23FIZPOc7B3m6ugEY3NpcrqxIf7sP/nwo2ytuX9axPsaVLV21lLTFGWkbwrTtHj126dpaK9k95E2lA20rxbypYDq6IvnmRwp7bDCMT9tO+oIVpQmUkmKAQKSFCVbeIOCWIHjGO+bmmxMCzFdTGLYFtdSfTxUsYu0kaMjECNnFujPjiALMpPFWRRBpslbQ5W7grSRZTA3xpyeIqzeKVMWrCJ92RHemjpHnTtOQ66aOk+cZm8Nsigzkp9kIDuKX7lDhrYcm+niHL2ZW8iCRM4qEFGDtPsbcEsaGTPHYHaMWT1F1syjSSo7Aq1EtbU7RgRBwK0pfOaZ3XQPTnLy8mDZfrexqRRvnOqmoSq8akuzIAgEVBf1/iCSIK5oe3AvGIZVNk7V4m7YuxFWo0hIzOkzVLkaGMh2U+9poSdzld2hh8kYSRRRxScHmCyMciN9gRp3A4/HPopPLnXJRLUqXhr7Ot3pSzR5t6CKpYWg1t1Eq7cTVdC4mjzL1vlAbKo4ymsT310oN3pkH0/FP7nkvDTRxWCum+ni2JJuHduxqPO0cDDyJHFXyRdOFhQGczeZKN6iyduBdFcHmyCAskGz2LVgrKM0Fwx5+OSn9uFbZUOmagrt7ZVoqwiylhbucgZVKwgeUgqsOkNVHIo1MpJL8PZ4L9cS4xyONa67wWcwM8eLQ1e4kZig1hPiS637+FTjLqKuO8GkZdscjDbwR5ff4HpinO/0X+TRyhYerWxBFAQ6Q6WNnG5b9KdnFoKqnKkzlJnFcaA5UFEKqvIZxnJ3OJOO4yxkqtqDMXyKtmx+kCWpbMRu07TXDGqy+nUAXEodLrlhyWuWkyVZPEuqeAFJ8BJ2P0l98DdxKQ1k9WsMJf4Ts/m3SBXOEHY/jiS14fe5ljQZDI3Olj2ocmkyCAKnLg/ytR+e5tZkouwivHfDMG1ePHqZsN/NZ57djfcB2mgJCFSoYTJGlpuZXlyiRq2nhnZ/KzfS3XT42xEFkZASKm3+c0O8N32SGX0WTVQREDAdizl9jrAaWjL29mAnJ2fPcDFxmQ5/O5qkcSV5jRpXFQ2e+gVKheM4ZApFvnnyEt8+fZnx5MaCVkUSCXs9FDZZjn1fg6pwzM/hp7bRe+UWk6MJBrrG+fb/8yaJ6Qy7jrQSu4eHmKGbjA/PcvlUH2+/dJGrp/twnBLpfeehFrbuaVwIznyuZxDFEF7X02Tyr6AbXfjcH0YQyusivxrirshCQPP6xEm2B1pJGRmiWoiMmePtqXN4ZTcRNYBL1NDtUqnHcmzSRpb3pi+i2wZN3tLCZjsOeatIysiSUfJkzBxFS18oYem2wVhhmrcmz/JU/OD8WBZ9mRG+f+soD0d3k7Py9GVGkAWJzmALXalBrqX6CCo+LiVu4pY0mjw1RLXQPb+fIAhEw16+8Pxebg5NMbtGJ9ZG8dqJLj711C7iEd+qk0DM7eXZxlaqvPfHjysaFuXiS0irZCoAAkoYRVRImbNMF8fIWRmeC3+W1ya+S9ZMkbXSeGU/iqiRszIkjRlafZ0LARVARK0kqlbSk7lKykgQ1UpEY4/sRxZlXJIbURAJKhEEQUQVXZjOndZmy7FI6DOMFQZJm0kMu0jCmCFjpjAcfRnXq1KrJaTcMav2y6VunLyVxV4l01vOTJVumPcMeLxejUOHVxe4VVWJI0faVl3oDdMuW1AliauXfw3bQhQEPtmwY778Nss3+86xO1KDR7j3IqdbJpdmRzg1NYgoiDxS2cxH6zuXBFS3z+FIvImna9oZzsyRNAr8cOgKh2INuCWFjmAcEQHDshhIz3Ik3gRAyijQl5ohoLroDFeRMYr0paYZz6ewHQdREMhbBlOFDAXLoNEXwbeCgfPdXeGbgWGtzakqmmMl9W5lK8JdZVTdmmA2/yYOOm5lC3HfJ/GopfvEp+4g6DpMqniBnNGLYU0zO1tJ3+BUyfx3/hr2D80s8gTdfBAiiaWu+UvdI/zVS2foHZkue9C2GrJ5nW+9cp5w0MPzD299oMT1CjVCd7qXnkwfTb4GXKJGh38Lb06+zVDuFpIgEVZDpMw070y9x7XUDZ6KP84Wfzs+2UvBKvDjsVeYMxJLxo1qUbb42zg1e4bJ4hQZM8t0cZqP1XwEVVQWniHLtrk4NM5fvXeeRK6AR1VojUcIe93MZPJcHZmgOuSnLV6B5TgkcwVG5pIkcgWqgj4e72hmW02c2sjmdLTe16BKEAQOPd1J9+VbHH3xHLlMkYvHe5kYmePCe800tlfiCyzKtJgWQzcnOPbjS2RS+RKH6uYE3ZeHmRyZW3hfY3slj35kF9UNd0plmtqJ7eiIjp+A51PYTg5JrEAQNN4PVLoizOhJejLD7Ay2cTMzRMrMUqEGKVglw9iQ4ucj1Y8gIi4s7yHVz57wVm5mhpeM55Fd7A9v472pi+wPb2NfZCvqIqn/Zm8tbsnFW5NLeSSWY6FKCk/FD2A4Jm9NnmUgN0pnsIWRed7W81UPIyBgYxNW19/yrcgS21ureWJ/G99749Kmfq/FGB5PcPbaMM8/snXV3XzU7eETrdvWvdu/G6ZVvkyVuIZ/oSq68MlB0kaSnsxV4q5amr1bEYDhXC95K7NAUrccC8s2FzJRtyEJErKgYDrGAs/q9t9LwVDp2KIg3WWT5GA5FiP5fo5Pv0rezhGQQ8iiQs7MYNsr78g0yYUi3lk4BUqaPWuVZO6lFr0RGNbG/Cdvv/fuz/j8yzMqt1He6796UH1bG21HpJrDsUbG8yneHu/jytwYB2ON91yyZ/U81xMTzOl54i4fOyPVVLpX1vkRBYEjsSa+23+RpFHg+OQABdPALSnE3H6iLi8Zo0h/ZmbhMym9QG96moDiYke4muHMHFlTZzyXImvq+BWNqUKGuWIeB2jyhfEpy+fQ9ZgFrxfmPfxHLbvUwKFJS7sYbccgr/eRLl5AFFz41J34td0LrwuChCbXokgV6OYYlp1FU2VaGqK43eoiIrmwqPFk8zeJJIlcuTnGwOgs1/rGl8mFPGhMJ7L81Y/OEAl4OLKrqazXajEqtAj5xBX6sv08Gn0YUZCoddegCipXkiXqS0DxM1mYYjh3i5gW5ZHoQwSU0sa4L9NPylyuJi8KAntDuzk7d4GudA/DuVuoosqOYCfSoqC6YJi8fq2HRK5AyOPi0/u383B7IxGvmxO9w9wYnWRHbSW/9uRBBCCZK9A9Ps1rV3uYy+VpiUf40I52QpvU3HvftQXCMT8f+4WHyaTynHz9GsW8zvjQLONDs7g8Kv7QnaCqWDA489YNrp0bIJcukpzNLOhc3UZVQwXPf+Ewux9qQ1lkR5EtHKOoX8HBXLILD/l+GUEon0jmaqjUIpxPdJEysny46mHemTpP0dLxyh4Klo5L0qhyVSzcFA+qLCkJEiHFR1D1kdQzqKKCMb+YVroquJTo5qfj7zFdTNDhb9ywcbPPo/LMkS28fa6HmUT5slVvnOrmuYc6WO35VySJCvf965DdNicuBxzHWXOBDqsxclaayeIIbd5OXJKbancjPZmrFOwsca3kYSYJEpKooFtLVc8tx8RwdGRBQRY2Zt2i20VOzx6lN3uNF6q/RK27GbfkYaIwwkxxfMXPiIgbNqstp/2NuKo++B2YpsXw8CznzvaTSORWbcE/eKiF/fuXi3+K4r2PsV6sdf2deY1xVZT4TPNu3pnoYzSX5Ot959hbUY96j86smUKG/nQpCKp0+6nxBNdUx671Bhe68qYLGZJ6gbDmQRFFtgTjnJgcoH+elO44Tomknpml1R9lazCOMW9SPp5PM5VP41c0xnMpkkYeEYEGbxjvCpmqcl7/e+2TBEq/2d3q7aadIFE4gWWnccmNBF0HkMWlvDpJ9CAJLiyngO0YxCr8JZNp7mxGqmKBsooQm5bNqye6SOfef1HT2xgcm+XPfnCSSNDD1ubKB1IGjKgV5K08aTNDu78NEQG35KLJ20BX+ib1njpUUUUVVcJqmNHCGFeS16h0xUkZKW6ku5kqThNRw8vGrvPU0uJt4lrqOiO5UbYHtxFRI0v4VLplcWloDEUS2d1QzS8/tp+ov7TWD84kkCURn0ujJRZZIKLvb66lKRbm/379JH976jJ1kSAPtzfeF6XkNj4QwabmrdV8/jefJBzz8+b3z5GaK7U+F3I6hUXO3LblMDORYmZiuSaSKAo0dVTzkS8d4aHndhC4i6yaLx5HFLyocjOw6AHZpB3DehF3VdCXGaHWE6fOU8l4YQZZkBbanAVYuT39HpBFCd0x1l26EBCWRPPAwubLP29sKQoCe8IdNHmq0TYYVMmSRGN1hP3b6nnleNeGPrsWLnWPkkzn102wtB0H07bXtMlQRGlhQVIVeR1L9/pg2WvvrMNqjLH8EGOFQZ6IfRRJkGnydvDezKsE5TABX2kS8cp+ImqMqeIYaSOJf97OYaY4yUxxggq1ksB898y6z80xGSsMEpDD7AweRhIkbMdCtwskjFli87ypzaKczQol4cW1r00qmeeb3zjB0OAMsZh/VSHhfG5lYVhF2riJ92qwbQd7HUTYHaEqHoo38cOhK7w13su1xBh7KkoB9WpnkjV0poul+XEin+Ybfed4Y3R1ociCZTBTKL3fAeb0HI1EkASRraE4xyb6GM+nyJk6IgIjuSQpvUBQddHgizCeTxNWvUzk00zk07QEoozl0yT1PCHNTczlW0ZSB8qafZFlac2OcEWKYNiz6NadTYHj2BTNUebyRwERj9JE0LWCbp/j4CzqAC/oBplskWQ6Tyqdx7IcLt8Yoa46tKpMykZh2w5Tcw+WlL4eXOkZ40+/d5zf/8ozVEXLr2oe1SJYjoVHdhPXSlqLkiDR4d/ChcTlBa5UUAlwpOIgr08e5ZWJ1/FJXlRJpdZdTbuvlay1fHOuiAr7wnv5xtDfkjWzHAjvQxOXrlW27TCeTONWFHbWVS0EVDBfgpUkDMtCNy2888lWl6LwUFsDV4Yn+MbJixy93sfW6jjVofuXXfrAVDDbttcRCHtp7qjm9JvXuXD8JtnUvX3JBFEgWhXkwONbOfLcdjr3NeILLs9YKHIDReMGjqEjCOqd7Y9jPbi00CJEtSBjhWmerTqEJir4ZA+qeO+fuz8zwvlEFzdSA9ySJ5EEid2hduKuEsdlW6CZy4keBrNj7Ai2sSPYiiLKvDZxkpH8JAk9zQ9GjlLvrmLHPUyVi7ZOQk+RtwrMFlMk9DR7w1uXEOTXg4DXxUO7m3ntZHfZuAKpbIErPeM8cWD171AwTW7MTnFsZICRTKqksr7G4f/hnsML8guqUj5ibWlRXSuoinIpcQLbsal2NyIJMg2eNn48/g1EBILz5b+wGmObfy+nZo/y9tRLtPk6sRyLG+kLJIwZjlQ8S1iNkl0hRb4aJEGiQq1kMHuT66mzhNQYM8VxLidPYThlshxy2LTm3GKoinxPceBcXqe7e5ynnu7k4YfbkeWVA7FgcOVUfsmKpFxBtbMu8UZVkvlCyx7eGu9hupDlb3rPsruiDhBW3WDptkXeLJV8JwsZXhnZ2MalMJ+VlgSBbcFSuSxjFBnLpQiqLnpS0yiiRNzlJ6S6qdC81HgCjOfTTBRK99l4PkVSL9DoC5e6CVf4nQ3TKhdFEUWW1swUedQOssZN0sVL6NY0qhTFtFPM5F4jbw6jiGEC2gHUu8qDUCod2nYBUVARhNLGSgB6B6bwuFU0VSaTLZaNb/ezhuOXBvnv3z/B7/38EwsG4OVCTIvx841fQBbkBZkDCYl94T14ZQ+VrlJHnSZpbA92ElQCTOszWI6NT/ZS665Bt3RSZmohKFuMGncVoiBS7a6m0duwLFlgOw5Z3SDg0ogHlmYoZVFCU2SKhkleNwgvKvG5FIXt9ZVEr3k5PzjKbDb3dzOoAojXhHnqE3vZuqeBJz62h/7uMYZuTjBxa458pkAhbwAObq+GL+ihqi5MY0c1zR3VNG6pIlodXJUga1qTCIKGLNcgoC0KpN6fTJUmqfxGy6fpCDShiAqfrH1i4RQCipcn4vsJKcsvXEDx0e5roMYVmycfe3FLdzqcSkFPANO2iGnhhcxLg6eKqBai1VdPSPETUv3IgkSbv57QfJDkll3sC2/FwWFOTzFRmKXRW02duxLLsTif6CKqhTYcVKmKREtdlJp4kFvjifv6vVbCxe6RVYMq3TI5OTbMn1w8SffsNEm9cM+J8PMdOxYFVXLZYmvTWpv0HFHi5KwMTd4OXKIbAYGgEqFCraRo5fHLpaDKJXrYHjyI4ejcTF+hP3cDHHBJbvaHH2NbYC+q6CLL+oMqVdQ4GHmKjJnm6OQPUUUXHtlHRI3T7itPicPBKZs6OZQW1XsZwHq9GocOtpBO5XFsB69XW3Eu0FYQBl3vMdYL2167W20xdoSqeSTezEvD10rZqrkxajxB1BWyP1DaC94+y5jLS3sghk9ZvwRNhVracIpCqfwnIKDbFkPZOZqFCvrSM/gVFw2+MLIoEnV5qfEEuZoYZyKfpmiZTObTZIwiDb4w/lWObVrl031T1uimBYi4n2Iq+xJ5c5D+uT8ioO0mbwwwlX0ZcHArTUQ8Ty8jsQPo9gymnUAWA0iCC02VUWQPnVuq8XtLXYCKstjH8WfD+qRcsCyb1092UxHy8qufOlLWBgO35FqmbC4KIjFXlJgruuy97f422mnjbtSycvZ8PD9B0S5yJHIQv7y8iUmglI0ClkkoqLKEV1NJF3TmsnlqwkszdRVeD25VoX9qlsImS7QfuF+L6lJo3FJFfWucXQ+1kZrLkk3nMXQLa373I6sSqqbgDbgIhn14/No9xcwEFARcCIIHcXHH3/vkDyQg8FB018J/t/vvtP66JI0WX92Kn6vQglRoq3cfBBXfijpUHYGmFd8f1UIL3XyqKFPrKe0WhnPjpIwszd4aDlZsZ7aY5NzcDXR749kLQRAI+FxsaYiXNai61rcy5wdgLJvhez3XuDA5Smuogs/V7CDu8SKvcV80B+50tKnKyrYy94N7ZarqPa38fMPv4lfCCJQyKh7Jx6drfwXd1olqpXZ3QRAIKREORZ6ixbuNnFUi5HplP1G1CrdUSmd75QAfrv4ifjmEIqpUumr5fP0/oMpVh4BIu28HX278vdKxgEbPFl6o/hJpYw4bB4/kJaREKdp5TNtYKIPWu1v5RO1XCCtLJ8CAEubjNb+IXw6iiisvqsYmDZAXQ1HuXZpzuRTqGyr47ndOc+3aCC6XsuKc8PzzO3nm2e0rH6NMmar1lv+glK36+dYDHB3rIaHn+Zves/zTnU+varSsiBKeeQ5TvTfMz7XsY0tw/Ro6NZ7AQlhQoXmJu33olslwJkGly89AZoag6qLJX3o2oi4vNd4ghm0xkc8wnJljrpjHdGzqvWEC6srZjXKWf+9V/gu7HyWg7SZVPMd09iWS+fewnCymnUKV4kS9H8Z9lyAogGXnKJi3MO0kXnU7kuhHFAWGx5JUhLyYlsXREzfvslz64DNWoiiUtVswm9f54dErVAS9fPbZPe/XkrgpGLbB2cQFAHaHd6JJy+9DURSI+T3MZvKMJJZShryaStTnYTKVYXg2wfa6pVlM3Sr5yhZ0c9OesB94UHUboiQSjHgJRspDIpekGJbRh2H0LeFRebQj8D51AP4sI6IGCat+js9c4nyiC9O2qHZHafBU3/vDK8DrVmlviPHGqe6ynePAyAxFw8SlLs82TOWynB6/RUc4xu/te4jdsWpcsrzmDte1aOFSFbFsm1DdMLHWCCq8sp9tgX1L/iaLCk3ejmXvFQQRrxzAK6/OeVBFjWbv1iXjd/jvdDmFlCh+KYLjwGw6h9+jUetuAnfTmt/Dr4Twr8DZ0iQXbb7lgcltOA7kC8aqr28Uqnzv0mwqlef1167icql0dtbi9blYaR2Ox1f+HcuZqTIse0NBxY5wFY9WtfDj4eu8Nd7Lx+p34FqFGhBQXMTdfq4mxtFtC6+i0RrYmOH1baiSRJs/yoXZEYazc3QE44zlUnSGqmj2lTqnfYpGtTuAW1KYyKfpSk6S1AsIlIK61bJkpetfnoVfuUdQJYshmsJ/wMDcvyVVPE/RGgMEVKmSav+XiHk/vszbDyBvDJI3+nGw8CitqFIMy7K52TeJa2sNpy8OEo/66e6bYM+O+nlO1QcXcYT9bp57aCvhoJtv/uR8Wd0rZpJZvvXKeaIhL08ebC/buOVESRJogDl9joHcEJcSVzhUsZ8aV/WK5XJFEmmLV/DW3ABdY1OYlrVg0RP2uKmLBLk6Msn5wVEOtzYsKQF2j00zk87hUuVV5VHWi5+ZoKrc8LqewKMtV9oWhPJ5lP1dhkdycSiyg3Z/A7Zjl0pSqp+gcn9BrVtTaKqJ3PuNG0CuYDAxk6axevm4edNgrpDncHU9j9Y24dpgt4bHpZZtUc0XDfRFnKLpQhd+pZqClcAnVyGJq5P/TbtAxhzHI8XIW7ME1fpl70npI4iChE9ZW4kfSsTbvz12CbeqUFsRZC6TZ09LDTUV6yOmDk8nUCSJytDqGmF3w3EcUpl78yHXC5eq3PPamIZFNlfkhRd289jjHaXJc4WPaNrK94VbUzY9ed5GUTco6OsPKlVJ5itth3htpJvZYpZv9p/DJa9cpoy6fLQForw5dpPh7Bx9qWkeiTffV3eaLEh0BOOcmh5iIDPLaC6JbllENA913hBQci6Iu33E3T4m82m6U1OkjQIRzTtvBr3ycVOZQtkkKjRlbU4VgF/bQ1vF/4esfp2iOYYkBfEqrbiVNlSpYsXPWE4GTYoTdj9JhecZNKkKEJiaTXOle5S5ZI5De5vo7ptcxBF8/zNVsiSya0sNX3x+H9tbq0AAy3L42o9Ol6170HHg1kSCv/zhaSpCXna2l6dhpZywHItzcxc4n7gIwP7wbp6MPYZX9q7YZKTKEgda6njjeh8jcym6J2bonFdGjwW8bK2J8/LFLl690oOAwBNbm3GrCtdGJ3nx3DVmMjk6amJ4XZtLuvy9DapkafluLpn9W/zujyII99+K//cFgiAQVEtSC+WALIkE/S7cmkK+WJ6sheM4jE+nVgyqREFAk2V8irrhgAogHPCUjaisG9ZC2lgSRVL6LbLmFLqVxtDyZM1JvHIcG5OcOY1PribqKpVwbcckpY9QEBNYjkHRSmI5RTQpRNFKAw6GnUMV/ViOjiYGcMmhVc/l3WsD1FYE6WyoRBIFXjp9gx+fvYFXUznQXockirx3fYBY0Me+1lrGE2nO3rxFQyxEY2WEd6/1k8wWONBeR2dDJYF1GCU7lBoLyoWAz3VP3atQ2MvHPr6X7q4xolE/kYivlFm465JWRHwr8qqCXlfZBEsNc75sYNnr1gDaPp+ten20m7fHe6mfD2ruRlh1sytcQ40nyFguyTsTfeyL1rMrsvFFUBFFtoTimLbFUGaO/swMblmh3htaksWNu3xUuwMMZxP0padJG0VqvcE1rXWS2fIFVT6vtkTh/G4IgoCAjEfZgltpxHZ0BGREQVuRR7UwrtqJK1SLg40shksNTAjs2V7PrbE5Hj7QQjjooakugrZCdvz9QDjg4QvP7+W5Ix3EIz5URca2HT7yaCeJdJ7vvn6xbKVA23boHprkq989zj/95aepq1wuZfBBQhZknq58gsMVB5AEiYDsx6f4Vm3qUGWZw631BN0uCrrB4PTcQlDlUmR21lWyu6GKcwOjfO/sVd683osoimSLOslcAcuxebyjmcrA5tbEv7dB1UrIF0/hcz0L/P0IqhwnRyH/IwqFN7DNIUBAlKpQtUdxuz+FKN3fQ1IsvI0kVSHJzQjr1EUSBAGXqhAOeshPJu/ruHfDASZnVm5F9ikqlR4fc8U8WUPHq2xMCqIi6C2ryWi+YGCaNpIqIgkKOXMa2zEYzZ3CJYXJm3MIgsBcsZe421gIqmTRjU+pYix3llrPIVLGCB45ynT+Gl6lkqDaSMYcZzJ/iUr3LvzK2otp39gMzx/o4MrAOOl8EVkSaauuIOxz89LpGzRXhjm0pYFUrsCxa/0EPC4UWWJbQyUhn5uIz0N12M/2xko86vp+U8dxyhpUhQOeewY8yUSOb3z9OKlknpMnelft/vv8Fw7zqU/vX/b3UMCNWkaSbqFoUDRMPOuUJFElmV9uP8wbo92kjSI3U9Mrvk8SRfZU1PJMTTt/03uWU1OD/Odr7/DL7YfZF61Du4uLpVsmXakpjo338mR1O1uCsQUZF1mU2BKI4QCzxRyXZkYJKC5aAhVLfru420+1J8CF2RH607NkjCJbQ3GC6uqiiKlsYU05k40g4HWvalG1GKXgyoW4zuqDJHqRxOWZ+LbGGPU1YVzz2cv9uxrQtNucy/eLgwsP72nmK588THNtBT63tlACF0WBqqifTz5V8lt942T5KBamaXOxa4T/9p3j/ONffIqQvzyOI4Zhcv3MADXNUaJVJbN4vWBQyOsE1/DkXAxREIlpUWLa+srdAlAXDvLPP/4ENaEA7VV3PicIAp01lXzu4C6m0jmGZhJkivqSzz63o50P7Wgj6P7/Z6qWIJH+c1RlG9nCa+SKJ5a8Zph9RIO//wGdWXlhWZOkE/8KXX8XSW5F0Q6A42CZvRTy38fj+dx9jes4BfK5b6JpTyBJ9bABsUlVkQj53IyWKajCcZicXbnTrdYf4On6Fn4y0M2rgz18onXbhsp54aC7rJ0vubyOblilxUAQqNDauJU9gUeO4jgWQbWeycJVajwHSRl31PJFQUQT/bikMIrowbTz8+U+GUlQUEUfIhIBpR7TLpQyXWuUAQNeF8lsgf3tdfynH71LW3WU2oogLlUmkcmTDXqpDPvQTRPdtNjTUsP53hFO3hjkUEcDmiLjc6t4Xdq6f89yl//CQc+6MlX/6Pc+dM/sSH39yiXpgM+NugG/0XuhUDQp6iYe1/qD+12Rah6tbOGdiT4Me3VOXszt47NNuxnPp3ltpItjE31cnhuj0Rem3hvGI6votslkPsNINkHKKJAzdTrD1bQHYgtxgQBENA+Vbh9ThSznZm7R4AvT4l+6aMXmM1VFy6Q/PYvt2NR5QwTX6DpMZfJlq5QFfK4HaqdyNxRFWqJJ5V5yDR98+S8S9PDrn36IJw+2E/S7Vix9SqJIc20Fn392D4lUjnPXb5Xt+AXd5L2L/UQCXn7rC4+sGNBeOdWLZdps3dfI8VeuUNcSo23HcqrC4vPN54pcONbNs587hGM75LNF0oncuoOqjUIQBDyayod2bEGSxGVNS5oi8dyONqrDfl65fJOrIxMUDZPKeYuaR7c0URX0b3qz/TMdVDmOQzGv039jjFv90xhFA1/QTU1TjIbWOOoKZqk+z8cQBRfZwuuE/b+BJt/plJtK/ht+xr/yOmGRSf07isU38fp/F7fnCwiCj9IEYOI4Otynarxp3MQyB3HUIhudUERRWNcOc71wgFxh5W7EiMvDZ7fsYCqf5d+feYfzk6M8XtdMtde/qkp1jS+AZ567IokiIb+biZlUWcoWqWyBom7g92rUeQ4jCCJhrQUBEQcbUVCIurYhCjLVzmLSuoBHjtLoexxJUGjwPbrwd0EQEZGpcHVQMX+Sa5U3AJ7e3c5/+8lJ4kHfAu9AFIRSudfroj4W4k9fOU2F30N7TZQbw1NcH54i5HVhWDbRoJezPbfIFHQOtNUR8t1752o7MF1GccOw333PoMrtVjhwYLlS+t1YrcQriQLB+TJjOeQgsnmdXF4nHFh/FtwlKfzKliO8M9G35vskQaQjWMk/2fEkUc3LD4evMlXIMFPMcnF2dCGXYjkO1ryVkCyIaKK0JM8iCAKaJNPmjzGRz5C3DPyKRutdQZUqSlR6AgRVNwk9j0BJqT2grh5UTc9ly6aqHvS5yjqPbA4PLlMlAM8c6eDXPnWEmnhwXjtvDYK+JLJzSzVffH4fiXSevlszq753o0hni7x68gaRkIcvv3Bg2XOjFwzMeRP6fKZANpXnrRfPMdI3xY4jrdS1xHn3J5eYuDXLEx/bS8v2WiJRPzNjidKmay7Lmz84S9OWagIRLxeOdTM5MofmUtj9SDuJ6Qznj3Xh8bk48NQ2WrbV3tf3EAVhkRzGUgiCgFtV2NtYQ2dNHNMqiUWLgogmS2VrXin7nTs7leLSiV4URWLn4VZ8QU9Ja2UDu16AbLrAS3/9Hj/95inmptJ3WpYFAUkWqW6o4MNfPMyTH98zf4zS+JJYIil6XI+jyi3I0p1dvSq33HNR+rsAvXgKvfgemutDuD1fQhTvpO9LJrq3f28H25okn/sOxeKbmOYwYCHLW/B4v4Tmem7BC7FQeI189usY+nlsewozdZ106t9we1KJxl9GkhtZa5IRRXFNLsT9YDXNkAuTY/yzt3/CcDpJ0TL56+sX+WbX5XkRgZXxZx/+LIerS7srQRBKJUBBWPBn2wxmUzly81yy28R0USg9XrfLItJ81k+6K/snCCLy/HWQ5v+5mIgpoax7bo8GPPyTTz+GbTuIoogoCqUdmwC//dGHkESR/W11CIKALInYjs3ulmpkSUSRJGorAmypjSGJwrrKY47jUCgaZTXUjqyj/AclTzXHcbDt21Yxy6/javOOIAiE/Z6yBVWpbJ50rlgaGwFJKP1vLdV+AdgTqeGxyhbem+wH5gPgFT4jiyIt/ij/fPdzfKJxB6+NdHNmepjhbIKcWUQRJGIuLy2BKPuj9TxZ1U6jP7xskVBFmY5QnBNTAyiiRI0nSERbGggKgkCVO0CNJ0jaKBDVvMQ0H/IqXJaibjKdyJYtpxP0uVZdGAEuj3+FiPtpot6PzJPSxYXzLj/Kn6kSBKirDPObn3uYI7ua8LjVuzw7V4csSTy0u5lUpsBXv3eciZn1a9bdC9NzWV48eoVoyMeHH9m67HwuvHeTyyd6ScykmRpLEKrwU9cW5+SrV4n9UoiDT3XSdX6Qi+/dpLGjaknGx+N3s2V3A+NDM9QV4uTSBXY91E4+W+DEK1doaK+ibXsdCALKA85SyqKIrG2MLrKh8cs5mOM4DN2c4Ht/+ja9V0eorI/w3OcO8uxn9hOtCq17nJmJFP/+97/BpRM9q5Ly+q6N8t/+8EUun+zl537nWZo6qkt+XvM3gkd7mNJu/86NEQv9S5ZY1vwdhV48ge0kcHs+iyiGlnzHux8Ey56jqL+HLHeguT4OTo5C4VUy6T8GFFzu5wFQlG2Ivt9C10+Sz34Nzf0CmvYYUFrkxRXUie+GKAhlI/8C4EDRWDmoypkGo9k0kiDgXqVz6l6oipZSvdYapZf1YjaRJZ9fOau2ETuczVrnCIt2anffC5oi4zggqcLC645zRzDvNofEvej1e8EBRqeSZV16wkEPyj0yVbbtMDg4zV9/7T0uXxkmky7MB5ICjlOaiyRJ5Cu//Bhf+OLyLmCAaNiLokibFvsDSKYLpOd5Zb/WcYRf2VI6piSsHuYLgoBP0fivj/7cQuAtzH9mJYiCgEuS2V9Rz96KulIgefeYCAgCC5uLu6+hX9H4g53P8Ps7n170/uVn+GR1G49XtSyMLwmrWweNTaewyij+GvStzalK65dIFI4zmPgPhN2PE/d+gqDrMKLoQkDesG/l+wVBKHUdf+zx7fz8C/uJhUsdthsNBhVZ5NkjHaSyBf7yh6dJZsontTA8Psc3fnKWSNDNwe2NSzJWux9qY+eRNo7+4BzjwzNIkoDmUnnso7vpuzrC1OgcFdUhDMPEthxM08KybGzLKbUbOmCZNpZlI6sS4ZgPy7Twh7xYlsWF4zd5+PldVNaVt4v8/UZZgyrbdrjVP0X/jTEsy2Z0YJrB7nEKufV1gzmOQy5T5E/+X9/lwntL/a0EAQSxtDN15gMtQ7c49uPLiILIl/+H56hrjS+6QU1K6ul3FvmSufKDi1DfL1jWMAIKklyPIKx1CQUUZSuRir9a8ldJaSOT+neYZjfwIUBAkmqRpFpsJ4UgeJClFlT1CIK4/nKG7Tglu4oywrZWXq4fqq7n1Jd/e0Njue4i9TbVVCCJAuXoVVycqboNx3HQbX3BDkZAwC25cYCiVcAjr1yidRwH0zFwcFDFO6RJ0zYxHAPbsdBEF/Iq2kY29qrjlx6P1YPw1f62KhyHkYkycegoSR1Egl6kexgNJxI5/vIvjnHt6gj79jVhmBY9PePs39/M5GSK0ZE5Dh1u5Ykntq46Rm1lCE2VSWeLmz7vZCZPan4cSRCR1vkTCoKAvIHfeyEjf9sFeIMQ5jNo99r6iIKAuM6s/thUatOCibfhUmXCAc+anCpZ8GFTxHKyTOd+zHTup2hSNTHvR6jwfAiP0oYoaiUB6J+hAKsmGuQf/+KTHNrZuCnOmCAIuF0KH3tiO4l0nu+8dnFVmsT9oGtgkr/84WmCPjdbGuOlbLciL1SJNLfC7ofaGOmfov/6KE1bq5FViXQyh66bqJrC5MgsJ1+/yuxEkmtn+/H6XZx64xqFnI4/7EXVSmK90nzHbi5dQM8bjPZPUVkXobZ5uU3NRuE4Jfsow7Kw5zPZolgq9ZXTMPtulDWoSs1mGe2fxpjf+SmqTNv2Wqrq1teF5jjw9ssXOP7q1YW/SZKIP+whHPMTqvCTzxSYnkiSnstRLBg4jsOJ16/SsKWST/3KY3jm1XCzhaNoyjYU+Q6ZLpP7ET73R/7OSyo4TmFeb+veN4bj2OAUsZ0sYIBjg6MjoODYpZb9cvEGbLvMQZUArlVsRiRRxLuG/tN60FofXXcL/L0wm8yRy+vz5dfS75kx07w19RrXU1exsXGJLr7c+KvkrAzfvvV1/smW/3nFsSzH4mryEjkry8PRJxb+PpIf5tTsu/Rkuvl07RfZGlhZkHM4N8CPxr7H77Y9+KaM23o35UJdZQi3ptxT/DOf1xkcnOZzXzjEF75wmJMnejBNi1/8pUfxejVee/UKly4OMzOTobJqZYeCxqrwisKy94NUppSpWnz9/38FI5OJsrX5V1b48fu0Na//lugfMZ37MXP5Y5h2EsvOUbRGuJX6KqPpv8Kn7iDm/ShB1xFUKYYkeuYDrPu5LuW7ltXxALWVobKR8IM+N59+Zhdz6Ryvvte1alb/fnCxa4SvvXSG3/78I9TGg+x66I6dzDOfKRlV739iG5ZlL1SIDjy5DVG6k9H8pd9/YcmYLZ3LeVLR6hCCACN9U3zlDz7KjfODTI7MbiqochwH07aZTue4OTHNhcFRRuZS5IoGzbEwn9jXSVvlHS2zwrwfoIODX9M23cBU1qBqbjrN6OCd1uCq+lLEKa+TdJhO5vj6H7925+QUia17G/jS7zzHriOtyIqEaVoM90zy0l+/x1s/ukAmmadYMDjx2jU69zWx++EWwCZXPIkohpDny1aOY5HK/RCP60nEv+OSCoLgxXGK4BhrTuKOY2FbExQKr6AXj2HbUzh2FsdJY1lTqNojZT0v27bR9fJmqlyriDcuhuM4GLaNblk4OGiSvCpZfTGaayNl6wBMpvPMJnOYlo0iS9iOzWuTPyZjpPm15t8mrFaQMpP4ZD+5XAbbsZnTZ7EcE0mQ8csBZFHGckzyVo46TwPaXZYwjd5mImqEH4x+e9nxi1aRjJnCAfJWnttcENuxyZhpREGkaBUoEeO9uCU3tmORt/Lz7we35MYteQCHrJnFdExsx8bBxiv7cYnLdYocx+Hm0GRZfkOA+qow7lUC6cWw7VIZoaGhNDlK85N5LqcTDnvZ1lnLlSsjdHeP07l9ZdJrXVUIzwrNLveDdK7ITCJ7pwP0Ltzme613YbcdG9uxV81G/iyhd3i6bN6PVdEAAe/aEgkh9xGCrsNYdpq5/NvM5N8gXbw0H2BlSBXPkCqeQRVjhNyPUuF5Bq+6DUUMIYnee2T378b7IP7p6Dj2HIghcKwNVQdqYkE+/9weUukCxy8NlG1Ta1o2753vI+J385VPHqZiEW95MURRLzVGoSJK2hprkQ1OHgQ3YM5rhM1/h8Yo6dksx16+SHVjlNbtK1u4rQeO45DXDU733+Krb53m/ODokkakvbkaHt+6tMHl/OAoL567RiJX4DeePMjuhupNZbLK+sRmknlmJu547lQ3RonVhNb9+Te/f47p8VIpQRAE6lpi/Na/+hStiyJcWZZo3lrNF3/7GURJ5CffOIGhWwx0jdLfNUbH3gBII5jWKEX9IrZd6kpynOy8I/nf/V2kJDfgOAaWOYgkNwMrLwyOkyKX/Rr53Ldwez6F6vo1JKkK07gxz6kqLwzTJp0rX2u9wNpBleM45E2D0Uya3uQsQ6kEDqXS4M5YqUEhVSyQNnSCqoZHWaqiHg54iEV8JNP5TU+dDjA8kSCdLRIJesiYaXrSXXyh/hcIqZFS950Smg9SHNJGilcnXiJpJFAElacrn6fB00TGzHB+7gwXEmdo823hYzWfueexbcfmQuIMFxPnUEQFj+RZWMQLVp6fjL2IV/EzU5xCEmT2hPfT6d/JnD7L+cQZhnNDWI5Jg6eJA5EjKILCTyd+RMpIIgsySSPB/vBh9oYPzAddd2DaNjcHpzb5691BfVUIt+ve05Iking9GslkKSDUNAUBGBmZpbo6hCyLWKZFYY2ySNDnJhr20XtrpiycoPGZNHOpHFXRO+r1tmOTMtIYjoFLdOGVPauKFy5Gxswyq8/R5G2453s/SNi2Q8/wVNk4VVXRAH7vvXWCSo0WAWK+jxH1foSiOcZc/i3mCsfI6jcx7QSGPcdk9ntMZX+ER2kl4nmakOshXEoDihhCFNw/E+VBx7gEhZ+C6+Ngz4DrSTaSIetoquRzH9pDKlvgcs9Y2a5Fvmjw2sluIkEvn31u94rBrqlfwranEMUYkrIFx7FLFBtBxrFz8xUVG9uewzSuomiHsc0RJKUDx5n3NvUr7H28jr2PVyEI7vt2PXEc0E2LN6/38b+/9BazmRyKJOJRFSzbWaJLtRgVPg8TqQwne4fZXhunORZZYmGzUZQ1qMpni6Tmsgv/HasJEVnFe2vZZ3NFfvqtUwt8KbdX47nPHlwSUC1GrCbEoae2cfV0P33XRzF0i95rI0yO+QjEL2CYw9h2Fkm8AoAguAn6voIoPhiNjPcTinoQUfom+fyLyEonolS94uRg2wmKxbdR1E58gT9AEDQcx8Y0bs7f0MshIFMqK5o4OOt+tB3HQTdM5lLl6wIDcK/SpeE4Dmm9yOtDvfz51XNcnprAxiGkufAp6kJQ9d7oEC/3d/FMQyvPNLThu0vQsq0+Ru/w9MJ9txncmkiQzhWIBD0kjQRu2YNHXq4A7OBgODqPx57FL/s5MXOMK8mLNHiaCCohHo4+DkDGTK10mGXIW3mOTR/ls3VfosHTxKsTLzFZnFh43XAMcmaWn2/4FSRBwsHBcix6sz2MF0Z5IvYMKTPJ9dQV+rO9bPFtJaknqPM08HjsaQayfQtB3t1B1Wwyx8QqWmL3g7rK0LpKcqqmUF0TYmg+Mx4MenC5VY6+eR2XptDfP8XMTIZde9YOSppqIly4cYtcGRaiiZk0s8mlQVXCSHFy5gwCApWuOFsD7WTNHLZjE1QCiILAnJ5EFEQCig/bcUgZaaaK0wznR2nyNmDoJtOTKZJzufmMHARCHsIVPpQ1qgDFosHI4AxNbfGyCt0uRiKdZ2ImjV0mOYWqCj/+daj4L4YgSLiUOqqVL1Pp/xw5vZe5/Nski6cpGEMY9ixZ4ybZ5A3G0n+FX9tLxP0UPm0HmlSFIkU2UR4sA/T3QD0A9iyY3cDjcE/W21Ic3N5AIp0nkyvSNzJTtnLsXCrHS+9cJRxw86GHty7TYbPtCUSpCtu8heOksK0pRCmOKNVi6hcRpSrAwrEz2M4sjjWDbd1CkCIYxROIYgABFcfJ4zhZJGU7srLcE3U9cByHgek5/vi190hk81QGfeyorWRbTZxbs0m+f+7aip9rioaoDvmRRIErtyZI5PI/O0FVMa+TTZV2joIgEIx48QXWd3JXT/czNj9BCoJAZX2Epz61b83PNLZX0razjr7rowCMD82SSYRpbP1VRNGPW92HqrRu4hv9bEJV96Jqj1DIv4yca0FzPY0ghgEHxykADoqyFZAQRR+OY2JZEwiCB9uextDPYFsTK44tihEE0YNp9mBZQzhOBLAQxfiaaXPHccgWdDK58hEmEYRVSwG6ZXFsZJD/eO49MnqR7dE4c4UCGWMp6dijKNxMzGDaNnviNcuCqm0tlbx6/AZ2GdL8Q+NzC6RnWZDnSzjWshKtgEBICVPlqqZoFfArQZK5gfs+bspI4JLcBJUQoiDS7G3jZqZr4XVVVGnytiyUkgQE8laeOX2G4dwgx3kbAEVU8c8bObslN3GtCrfkIaiEFkqBd+NG/0TZ7ElcmkxVhX9dopw+n8ajj3UwM6+4H4v72bO3kW98/Tjnzg6gKBKd2+vYsmVtv8TW+iiaKpMrgyH0+HSKmWR2yd+60j3Ue2qpdMUAgcniFN2pXgDirhg+2UN3ug9N0ohrUWRBoifTjyiICx18ibksP/rmKa5eHKausQJDN4nXhHj2Y3tobI2vej4zE2n+r//3i/zbr/4KmvZggqqbw5PoRnlKTpoqE4/4N1WSFQUNn9aJT+uk2v4FssUrJAonSOtXKJhDFM3xUkYr/zYuuZ6g6yHC7ofxKO245Lr57NX7HFyJ9WBPARIIKhsNqKC0Zj51sJ1EKs83fnKWseny6O9BabP4gzcvEw54OLKraWl527EwiidR1F2YRheC6MOxZ7CREUQvlnkdQfCiqA9h6CdBkLGdJKKdQhTcSHIjRvEECC4EwbspvnPBNHntag/DM0mqgj5+/YmDfHr/dlyqwksXbqwaVKmyTE0ogFdTGZyZWzWjtV6UNagyTQu9eIek7vW51txJ3YZt2xz94XnM+YdTUSUefn4H4ah/zc+FYwGq6iKIkoht2cxMJMkkSkGdz/0cglAeyf2fNQiChtf3W2AXyee+jV58B0mqw0HAcdKIUoxg6N8iikE07Qny+e+RTf8fiFI1tjWJbU8jyU0rji3JTSjqAfTCuzhODlGsoJSi/YcIwuoNB0XdYmI6XTYBQCglwKtWuQfGcml+3N9NwTT4QsdOPt3Wycv93fzF1XNL3tcejhJ1ebkxO0WyuLw0ubejDkWWysIJGZlIMD2XwbJsQmpJI+hWfpiwGkFBxcZCoMT9kcWlC8dmfjVFVLEcE8MuEeVzZnbJiCXdpKXPoSSIuCU3W/zb+Fj1Z1Aldd5YG7JmFkmUl2TY5juil+HCjZFNnPlSNFVHCPrd6xLgc7kUnnxy60IGxu1WefihNrwele7ucQJBN/v2NtF0D8Lr9pYqPC6VudTm29InZtOMz6QxTGuBq1e0ikTVMNPFWbrTvRTsIo9GD1Opxfnzga8TUUM8GX8EAZHv3voRTd569oV3kTVz3Mz0LoztD7p5/lN7+fCn99PfPc5L3z7D6PAMja1xZiZTTI4nMXQTWZZoaI3j9d0pofV1jWMaFi63SnN7JQgwPZHCMm1qGyuwbYfZqTSZVJ6G1viGPDGv9oyjl4kgXRMLEg2Xzz5KErz4tN2ocg0+Yxdz+beZzb9J0SxxDgvmEIXMEFPZHxDQ9hH1vkDIdRjXPbuqywvB/REc/TjYBVDvL0sDoMgSH328k0Qmz/dfv8RsGasG1/sn+O7rFwn6XWxvrV64v0WpFlk7jGX2ICnbwNER5XpsYwBRCCBIzQiiB8saQZBiOE5uvhpiIUrVIHgRxDCOk6M0w9z/TFg0TN69OYgqS+xpqOGzB3eu24oq4vPgURVmMvlNE/7LK6lgOVjzRDlZkZDXKQQ5M1ESDL1dC/YFPTz+wu57fk5WJPwhDx6vRiaVJ53Mk18Q4FMxzH4sO1HqeJuHSzuAKPzdl1WQ5Wb8wX9FsfA6hnEJ254FVGS5BUUtdWeIQgC353MguDGNK9jWKLK8BUX7IqbRsyD8uRii6Mfj/WUksQbTvIFlTSJKce5V488VdQZGy6fwC6XdV01s5c6t6VyO81Oj7IxW8ZXte6n2BnhzuH/Z+8KaG7esMJPPU7SWPyzNtRXEIz4Gx+Y2fb75okHP8DR7ttYR8nvYFzrMtdQlilYBn+zDwmZncM+aY2TMDCO5ISaL4+StHP3ZXirUKAElyFRxktH8MEkjwa38EF7ZR1yrIqSEqFAruJa+QqU+xa388D13qaqoUemqZrwwyoXEGXyyH03UiLuq1s07NEyLM1eH1vnr3BtbWyoJrkPBHVhR38cfcPPoYx08+tj6F6b6qjDVsQDj0ymsTZZMirrJwMgMs6kclZHSZqDaXclkcZpKLUbGzBJSgswUZ9Ftg6Dix6/4Gc9PIgoiISWAKipMFqaxHGuJpIFeNOm/OcGJt7oYG57FH3QTqyw9GyNDs1w6008hrzMzlebpF3ax+2ALANlsgXPHe0oWIakCL3zuAI2tcW5cvkX31RF+7X/8EMW8wel3u5kaT/LllqdYL5/HMC0udo1QLFNzSktdBfHI2hvp9cBxTAxrlrw5RE7vJlU8R6p4noJ5C7CRxQAuuR5J9GFY0xTMERKF90gVz1LheZ4a/y/g03YtiPc+MDh5HGsKsEBqAtEE/RzILfc9pNet8dlndpNM5/nJu9fJrqKddz84c3WIoM+Fz63RXFeBJIooWmmtkaTq+XfZgAByG6UASeROsDTvQal0Lh1YMbHMgXmf2fuXN7Fsm4GpOTyqwq6G6g15e7oUGVkUKRjmpkunZb1rRElAkiXsDYrpnXrjOpl5wqkoCmzZVUf9GmntxdDcKppHJZPKoxeNhWxXrniCvH4Gx1m6A9XUnfMp1r/7EKUIbu/ncfP5ld8gCIhSHK/vV5a9pKoHVh1XlhuR/b+xoXPJ5Y2y2iZAaecVDa2s5VSwDBKFAnGPl2rv6rw9l1zqBCxY5orK6bIssn97Q1mCKoBrveMkjuQJ+d0cCB9GERX6s70ICGiixs7AbrySj87ATgBEQcIjubCcPA4OeSvHSH4Yy9HJmgmupS6wL3SEgBJkTp9hvDBGTIuTt/KMFUYIqxE0yc9T8ec5nzhDv5kpdQ5KtxXaZeo9TUiCw1C2mwbvlvnjijR6WrAdm77MzYVxK7QobslDk6eFsFoS4XNLHlp97bilpQHP8HiCkTL5PIqiwJbGOAHf6nway7Lp75siFvcTDJbKBKZpkc8buFzKEv+29UKSRHZtqeVa73hZSoC9w9NMTKcXgqpmbyNJPcVEcZp6Ty1b/K30ZgZImRkORvbilb1cS3ahSSqHKvYiINKT6cMlualz3zHP1g2LWwMzyLJEIW8QifpQNQXHcYhVBtixrxHHcTj1Tjc3Lt9i685SB1U+q/P0R3cTjQd4+TtneOPlS/zWP/0IzW1xzh3vYXKslOGankixdWfdhiRGxqdT3BpPlEWjShQEmmsriIbvj/PqOA62k6dgDpEzekgXL5EsnCRr9OA4RQQUXHINbqUFv7pzXm4hTs64SbJwinTxAlmji6nsixjWDK2Rf4lbuf/gZl3nbA6DeY1SuU8AxwTjMnB/vq23URHy8sXn95JI5zl2vo9iGcRtASzb4e2zvYT8Hn7uw/uojgVWKJUuvn+ERf9cw4lDqlugr2yG8+w4DgXDwOfSNmyKbNk2tlNSW99s+besQZWsymhuBUM3MYoGxbyxoHK8GvK5Iu+9chl9fkKTZIknP7533V9MkgSk+fFNw8Kez3blCm+hKm24tcNLBD/FD7AkaNo2A5kZzs/cQpMURATCmofOUCVhzUNSz9OTmmYyn6YtEKM9uDkBtKSe5+LsKAejDfetOr4e2LZDIp2j79b0vd+8AURD3lV1qgSE+fKUgO04q5aMcoaObpm4ZXlVm40jOxv53msXy9I83TU4yfRchoaqEKqkcTDyEAcjDy15T4UW48NVHwdAERXCahDbSWPYOjEtztOVzzNeGOJm+gI17haq3aVmjS3+bWzxb1vxuDXuOmrcy1uRNUljX/ggXenznJs7uhBUAbgkF9sCO9gW2LHsc4cr7shthNUIjyzSy7qNExf7Mcsk+lgR9NJQFca1Bl3AMCz+4i/e4ROf3MfB+UzM9HSad97u4tDhVhob1+dmfzf2ba3je69fKktQNTA6y+hUku2tVUiSiCoqHKrYN19aLWXXKl2xEs9uXsDz8dhDCx5kjuNQ464qZeIWLUQ+n8Zjz3Xykc8cYG4mw9f+y5tcvzRMtDLAmfd6SM1l8Yc8pJN5REFYyFT6A24iUT+iJNLQEuPCyT4EQSBU4aN9Ww1nj/dQUxcmky7QvkpT0Go4d32YbJlEJ4N+F/VVIXzujW14HceiaE2Q02+SNW6QKpwlXbyEYZfmIlkM4Fa24lW34tf2EnQdQJPrFrJQHrWFsOdJ0oVzTGS+w0zuVRKFd5nKvkR98DdZrbO6PBBA3gpCYN7dwIIydSM2VEf4+Rf2k8oUuNB1C8Msz3Na0E1+evwGoYCbTz21k0jw/jxmF0MQRARh8xlKQRDwuTQs2yZdWH/Gy3EcplNZcrpO2OveUIZrJZQ1qHJ7VPwhD5lkHsOwSM5myGeLeP2r7z6vnu6n79roQukvWhVkzyNbVn3/3bAse+GzQsn0DgBRDKBI9ahy0xJNjA8Shm1xYWaEb/ad55maDnTbJDVbIKnneKF+O4ZtMZ5P8dNbN3goXth0UDVVyPCNvnN0BisfaFBV1E16hqeZKaP/G5RIxKvBoyjEPF7Gs2nGsmlqfStnqy5PTzCWTdMUCONTVr4PtrdW4/e6SGU3Lwcxk8hyY2CCrc2V+Dzr2y3JgoJL8jCnT1G0cxi2jiKqOIBH8pG3MozmB0gaM6iiRq27laBSgSiIjOT6QBBIGtMUrBwRtZIGTzsCIlPFEYZyN5EFmbSZ2PR3W4yibvLO+b47npybRHtDjMgqWji3YVk2588N8vDD7Qt/m5pK86MfXaC2NnzfQVVHU5xI0EMinds0uTeRztM9OMnBHQ1ULFpwFvPTllnDCHfsie4OplaCJJdKKrZlk0rkuH5pmGc/tptdB5tJJ3NLHCxy2SKpRI5QhY+p8SShilImwOd30bylkp9+/zy2ZVMR8xOKrH+B1A2TU1eGyJWpvNRQHaGqYqXMx3LczkpljW6y+g0yxcukixfIGb3zrhkymlyHT92GT91BQNuLV+1EkUIrjicJGiH3Q2hyNQVzmFTxAtP5V6gN/ioPwB53AYLcAghgT4MYRcABZ+VN0/1ge2t1KbDKFrg5NFW2jsBkOs8Pj14hHPDw7JEO/Ouc5x40ZEmkORbhyq1xboxOoZsmqnzv6zeRytA9MU26UGRbTRyfa3PxQlnvGH/IQ6w6xNhgqQw0MjDN5MgszVtrVnx/JpXnlb89TTY9v5gJcPiZToIbeLiNorlAjpcVaSF9LQgKqdz3KBiXS4S5+Ykq4P0c4gbE1coNRZTYHqrmt7Y+zEQ+zXcHLtGfngUg6vLxaGULA/P/vRg9qWmuJ8bJmQaqJPFIvJmoy4coCGRNnXcn+pgr5hAQ2B6uZnt4adfTTCHL1cQ4lW4/W4Lxsqp1pXMFTl8pH7fmNna2r3zfAFR6fByuquPorT7+tusyn2zdhm6VSr8OkNaLdM1O840blxhOJ/n5rbuJela+r0J+N/u21XH0TE9Zzvv4hQEe39e6gaBKxSP5GC8McitXOodmX+e8TY2Lvsw1RvK9eCQ/M9Y4GTNFZ+AAASVCf/Yac8YkEbXEhdLtIg5g2EXenX6JgBLBJXmZKo4gltH3smtggp7hqbJ1GHW2VpVl13s/8Htd7N1ay/D4XFk62S7cGOHJA21LgqrNIp/XGTg9hWlYpJN5NJdCY1scj0+jIubnxuVbTE+mmZ5ILbhKAHj9Lk6+1YUgCvR1j/PwUyXbHkmWiFYG0VwyPdfH+Mhn9m+o7NF3a4abQ1PoZRKbbK2LUh1bn/zObP510sWLpIuXyOhXMe0EAJLgwaPswKftwK/twq/uwqU0rJtD61aa8Gu7yejXKRhDpczRg4QgATaOcR60pwEbzBulYGudFkH3wuGdTSQzBf7bt99jdDpZtud1bDrFd167QNjv5siuplUrCuVAzsyiiuqy5p67ockyj3c0cXbgFucGR3mne4DHO5oXvE1Xwkwmx8sXu7g8PA4OHGiuo8K3ufigrEFVRWWQhrZKLp0oda30XLnFtbODVDdEcXmW3th60eStF89z+WTvgq2NP+jh2c+szvW5G7Zlk0sXKMy38auaskCOV5Wt2HYW28nhONai3V/5jD/vB4ZtcSM5wZ92nyClFyhYJk/XtN/zc0XLWCi1XJoZRRMlnqxuxyOrvDR0lf7MDI2+EgfGvKv1fU7PcXF2lKlClkr35tOsi2FaNrcmElzoulXWcQF2tFev+lrU7eXDze1cnZngm12X6Z6bYSKXKbXVDvZwc26aG7NTXJuZZFskzjONrYS0lTOmgiDw4Ue28dbZnrJMOtf7xxkYnaU6FlyXYrsiKrglH1PFEfJWlrirjonCMCIlTamxwgARtYq94ceYKU7w3szLVLnqCSil6205NtsDhwgqFfPaYgIpc4Zb+T5+o/oXcXA4MfMTknr5OG+vHu+iUCwPVyMa9tHRFP9Ad7zPHO7g1eNdZQmq+kZm6B2eZktjvCyLjdfrYtf+ZgbDJeX6YNjL7kPNNG+pwuVSePSZTm7Ny9E8+ux2FEVCc5V0l770608gKxLJuSz7jrSy++AdNWmPT6OqLsJgzwRNbevjsN7GsfN9ZdOkCwXcbGmMrTuoHkr8ZzL6VUpzuYgmVeHTduPXduNXd+BRO1ClinsNsyJUKY4gSNh2+USM14Jj9uMUjyE4FqWs1fIN9WYgigJPH2onlcnzp98/STJdPvPlnqFpvvnTcwT9bna0Va8511mORUKfoWgXqHFvTNB2IHuTKnctEXXtyo0myzy6pYmXL3bROznDf33zFMMzSTpr44wnS1p6hmUxnc5yY3SS4dkk5wdHefN6H2OJNNvrKjnUUo/ftbl5qKxBVajCR+v22lJtP5FjZiLJ6989g6JK7H10C5FYAMuyGB+e5exbXfz4GyeWiIU+8pFdNHasrSuzGIWcTnIuuxCUeQMuNHdpEvNqj+LRlrvTf9C+fwICiigRUF0oosRUIcNUIXNPBz5VlOdLA5C3dK4nJnko3oxLUvhm/3n+l93PsbeixKlZTMhOG0XemehjrpjnEw07Nl1SvBu5vM475/qYLXPpz+910Vi9uoSDKknsjdfwW7sP87fdlzk2MkBKL9XRjw734QABVeNIdT1f2rqbrZEY8iqt2oIAO7fU0FAdZnB084T1XMHg3fN9dLZWr0q0XwxZUHHLPiYyw7gkDyElytXUSWrdLTjzTC+P5EMSZAJKBNM20O07nIEKtRJ13kJGQJiXVcjgEt24JA+6XSSsxMsWVI1MJjh1ZQizTFmKnW3V1FeFy+bDeD/Y1lxJS32UCzdGNi0LUiganL46xL5t9TTWRDZ9bh6fxv6H29j/cNuKr3fsrKNj5wp8OpfCY8+t7A8Jpfkzmy6wfW8j7nWomN/GxEyKc9eHy1b6a6+P0dYQQ17n9c8bAwhI+NQd+F378au78KoduJWmTXd2244BjoMslqobD96kRkWQW0H0AVKpa65MWaqFIygyLzy2nUS6wF+/dKbMHoGjfP3HZ/nNzz1CU21kVXsX27GY1adJGwlq3A3YjsWcPsNYYRifHCDuqiZjpJkujqNJbqJqJQljhqyVYSB7k5B67+dIFAUao2F++bH9/JfXT3B1ZIJbs0maYpGF7zwyl+KbJy+hyTJjiTQjiRR53aCxIsQXDu+ivapi02bLZQ2qFFWmY3cDOw61cPyVKzgOdF0aJp3McerNGwTCHmzLZnYyRe+1Ueam0wtK1nUtMT7+Cw9vaGKdm04v2NpASWVYdSWw7BSSuDyVrBv9iLKX9RgRPyjIokirP8oXmvdSsExeHr7GO+N9PF+7bVW/urRR5NXRLjyyQqM3Qkh1Y83bndiOw1Q+Q9t8sHS3633BNOhJTaOIEhGtvAGlZdkMjs7y5qnuso4LsKOtpB+0VknCr2o8Wd9Mgz/IlekJBlMJZot5cCDkctEUCLM7VkVzMIJrjdq6IAj4PRpPHWznz39wqiznf+xCP88e2UrI50K+R7ZKFhU0wUXSmKXe045LcpM104hIeCQfIiJZM4lpG8zpE6X3L/IFFAVpWUDukwPkrQx5MwOCwJxRPiuZn7x7nYnZdFkWHEWW2N1RSzyyvq4f07Q4daqP5HwQPz6eJJ3K88473QwNLQ8ad+6qZ/s6vMRcmsLTB9u5cnOsLP5p567f4sbABFXRwIpegB8kigWDK+cGuXC6D0kU2f/QysHaanj7bC+Do7OblqCAEg9ma3MljdXrDz4rPM/i0zrxKtvwqG2o0v1x6VaCR2kh7vskshial5x5sEKgglwP9n5QOkvHssceyHF8Ho3PPrub2WSWHxy9XLYyoO04HL84QNDn4tc/8zDxiG9dZeSMmeZWbgBV0kgbSfJWiUuaNpM0q1uY1adIGLO45h0c1rvR0WSJp7a1IggC3z97lXODo1wYHF14fS6b51TfnaqKKknsbazh0/u38/S21k1nqeABsPBqm6I89sJubvVOMtw7iW3Z3Oqb4lbf6pN6sMLHz/3OszS0V26orj81nmRs0UQarQoiuk6jG27c2nI19mT2G0QC/xBJWFn76P2GaVvkTR1ZFNYUPEzrBQbSs3yycQeHYo2cnR5eKPGJgkCdN8SFmREeq2wp2cXYFppUurQB1cVT1W10J6d4afgqn2/eg1vePHHfcSBb0Pn+m5cYnymfTcltPLG/bV0ihG5ZYXu0ko5IlLSukzVKu2ePouJXVRRxfbs+WZJ4cn8b3/rp+bJ0gc0ksrx64gZtDVHCgbWDWVlQUCUXhl2kytWAg4NX9qNKLtySlwbvFvoyV3l94m8xnCK1rhYq1KWl0bunHL8SodW3k1cnvoVPDlCwy5P2Hxqb4+jpHor65n8jKNnEtDVE12WiLAjg87m42T3O4ECp3GVZNpIkceXyLbpuLF+QvD7XuoIqgMf3t/GXPzzN1NzKFk4bQSKd5+0zvXS2VFFftXrG9YOAKAlUxPzs2NtIvDpEtHJ9XCaAsakkx873kciUpzxWEwvS0RTH51n/nFQf+m1cci3iCjp7m0XQdRiftgMBBVFQsR44XcTGsfpB6QBsKB5DcH8WHoBGVkXIy5c/eoDJuQzvXViu6Xe/MEyLN07dJBTw8EsfO4jPs7qx8m3krRxZK0O7v5OR/BBTxTG8sp+wUkGNu4Ebqcuooka9u4mx/PC6z6XUAajy3PY2mqIhLg2Pc3l4nMGZBLOZHLppIUkiQbeL+kiQHXWV7G2sYUtVbNME9dso+5VTXQr7Ht1Cai7Li39xjNGBtdvsqxoq+NxvPMlDz27fUJbKtm0mhmcXrG0AquojuAOXmEv/32TyTcs+k87/kLD/19Z9jAcB3bY4Mz3E/3r+pxi2hSyIPFe7FVkUuZ4Y59WRbs5MD+GRVUQBHoo3U+HyUu8N8epIF6enhkgbBbxKaUIRBYFf6zjCa6NdHJ/oRxJFDsUaebyqZM+jSTI7wzXUeIL89NYNXhnp4qP121ctha0XpmVx4uIAb53tvfebN4iAz8WB7Q3rUta+DVmUCLvchF33J5khCFBbGeLIribeOHXzvsa4G2+f7eXpQ1s40Fl/j2yVQYVs83C4lYjiQhIjPBb9OF45gChI1Lu34JH8ZM0UkiAT1WpwiWA7Oh2BfQgIqKKLotGDKjdSNPvQ5HYejn6EycIwOAkkx8SlHkY3hzCtaTwrbDruBdt2ePnYVUYmy0d43bO1loaqyLo2U6qq8Pt/8MKGxq+vXz+3Jh7x8di+Fr73xqWyfL9TVwd5pKeFWNj3QIm8K2F8Lk0s4F1xTlUUmab2SpraKzc0puM4HD3TQ8/wdNlMe7c0xelo3thm2vMA9aMUKYRCaNFfHmxQ5RjXcIpvIdipkpyCc0ck80GgrjLEr3/mIWYSWboGJss2bjav86O3rhAL+fjEUztW9O80HJ2e7PVSZUAO4ZbcnE+cQBQkwmoUyzEXnB/CagW9metcSSXJmukNa0dpisz22kpa4xU82t7EXC5PTjewbBtREHApMiGPm1jAi1dTN7TW3AsPJC8djHh58uN7qKgMcOzlS1w80UNyJrMwUYmiQKwmzL5Ht/Dw8zvo3NeE23fv6HYxEjMZBrrGSM+Lhnr9Lupa4gRCAUTJjyo3L/tMybbmAzLNpJRqfDjeTNzlQxGlkj+i4qLJX0p9x11+Hq9q5UC0HlEQCKluQqobj6zyqcadTBVKO2ifoiEJIj65FFg9UlkaM28aJRVyTykTV+0O8NtbHyGieQhrHrxNGjarazqtF7bt0Htrmj9/8SSZ3P0r4K6G/Z3192yv703M8srATR6va2JLOLpmh8d6IAgCbpfKJ5/ayfFLA+TLkK1KpPN8/cdnaa2PEg15V/0+tp1BcSbpCDyBKKgYVhdh0UQSbHLFERwsKuQIQVFHwEZijnThLJrcSoW6fWHHnilcRpaqyOkXEAUvstVDk6cJUagnUzhKyN2Gbg1hWGNYdg7d7MO2M4iiH0kMzesmiSjSyrzGc9eHeetML/lNemPdRm08yJ6OOiLB9ZWlZVnkyJGNlao2AkEQ+Oxze3j1RNeCh+NmkM4WefHNy2xpiNFaH31fPeXevNTLxw9tw7dBEcS1cLV3nLfO9pAoE0E9Fvaxp6OWqorVm2dmc2+h2+UVFb6NoHYAt7Ix0nTZIVYhaE/MK5CLIAbLplW1MgQ6GuP89ucf5d/+2WuMTa/PtH09mEvl+ZuXzxAL+3hsf+sSjpwkyNS5m/BIPtySB4/kJU41aTOJKmh4ZT+mYyxIj1SoMUSfiOkYNHhaiagbL/EKgoBbVWiIhmhYEig/WDywYn8w4uPgk9to7axlanSO2YkU6VQeURIJRXyEY35i1SEi8ZIw3UYnnEwyj+PA1nkX+rqWOG076nC5mlHlJlza/mWfyesXEB6omNvaEBGp8QSp9a5cfqxwealwrUxsrnEHCTnuFZWjXZLCzshy+QGvoi35++3gbTNwHIfZZJY/+eYx+kcezGT37OGOewqwjWXTfPXyGX7c383WSIwn65s5VFW3qmzCeiCJAu0NcR7b28Irx7vu/YF14PyNW/z42DW+8PzeFXdvAKLoRZUbKJr9CEDR7MV28shiBQ4WgqBRsK+CICKg4lZ3UTLL9s77aJUgi3EyhbeRpRiWPYvlJMnp5wm4ngLmRfbm73/TmiCnn0EQ3IiWhixVAg6KVLmin2silePbr17g1kSibFmqg9sb2N5atW6C8vuBxuoIzx3p4LuvXyrLeFd7x/nJe9f58gsH7lkGvhfGZlNkCzo1FQEGJ+aYSZfKGTOpLI3xMK3VUU53D2HaNv3j5eE83UYqU+Clt6/SNTBZtnE7W6s4uKNhza6xicy3SevluRZ3ozXyLz7woEqQoqA9A4IHZ15SAWn1rudNH08oJTX2bqvjNz//CP/hL98siz7fbYzPpPmv33mXWMTL9tbqhXVdFEQCSoiAElp4r4ODXw7On9fS9V8WFaLafCZ1kY7b3wU8UAal5lKobqigsi6CZViYpoUglJTXpfsIpBYjXhvm07/62IISu+ZWCVb4kJSPIQquFeXuKwL/aFMy+JuBrpu8d6KHYtHg+ed2bvjzhmmRSOaokHz3ZcdRLiTSef7oL97g3PV7+8vdDzpbKtnZXn3PUnDU7WF7RZzzk6PcTEzz3uggDYEQh6vreaahlfZwxQKvbL0QBIGAz8XHn9jBuxf6y+KbpRsW3/rpeXa0VbOno3ZFs1jHMTHtaUxrHAcDkJHFOLaTRhA8SIIPJC+mnUQSg8hSBRhg2al5scPS/eBWdzOe+EPiwX9MOv8mgiBiOzmK5jBFc4Ci2Y9hjqObA6XgCQVRcKHJ7ejmAI6j41GXe25als3337zEha6RspC4oVSG2L+9gdh92pI8KEiiwOee28Orx7tIlyELa5gWL719lW0tVTy6p2VTpPW5TJ7pVJZowMvQdIKBiTnqo0G21VdyeWCMockE0aCXmooAVwYmNn3ut2HZNq+f7OJEmTK4UMpSHeisp3YVb8/b0K0piuYIAjKqXInjmFhOAccpYjs6mynPWfZ6Mm4PcDG3Z8FO4NjjYE0BJhg3QFm9Y7McEAQBVZF4ZG8LiVSOP/nWsbJIidzGwMgs//FrR/nDf/QxqqKr8/VuOwqsdZ4bheOUZBNGEynGEimyRZ2iaaHJMn6XRjzgpTroX3WDWw68L20poiggajKKVr7DudwqrrqVMi+rpwkVeX2E1QcBw7C4dHmYQMBDIpnj5Kk+MtkCXo9GRcRLOOTl4uVhKiuDbN1Sxdh4kp7eCUIhDzs6a+kbmCKdLrB/bxNut8LRt28wPZ2huTlKW0slR9/pIpct8ugj7YyOJZiaSmMYFvv3NdHYcH+aLXdjcjbNv//LNzl+sR+zTLYHd+OTT+0i6Hff84FqDob5N499iMFUgndGBnhjqI8z4yNcnZ7kBz3X2V4R57mmNh6pbSTi8qx7apREgZa6KE8eaOeld65u/gsB04ks/8dfHeXf/N7HqI2Hln03UXDjUfdgK9vnd2QCgiDhOCalbZqEgIjj6AiCgih48LufREBdknmVRC+xwO8gixUE3M8u/F0QXFT4fhFJDCGLUTSlBVHwocot8zwOG8MaQ5YqVpQceeX4DX587DrJMpGToVTi3dVe84HKKKyG2niIjzzWybd+er4s482l8nz1O8eJh310tlTd93e2HQfDsjFtm6JuUtBNAh43DfEQ53pHmEnnaKuJUlcRRJZvG9luHscv9PPiW1eYmC1fQ8rW5kqO7Gq6Z2fsbThY2E4Bj9KGV92KV9mKR2lFFNQF2ZGNwiXXr+vIDw5uEGww3gJlNyXxz4EHeLw7EAQBn1vl2Yc6mE3l+NqPTpdtk+wA1/sn+A9fe5N//dsfwV0mAvhasGybm+PT/OjCDS4OjTGXzVO0LCzbxpm3MZNEEUWSCHvdbK+r5NnONnbUV+JWyhtgbTrK6UpM8fLgdT7dspMmf3m6XAzb4srMOC3BCoLq6hY3f1fgOA6ZTBHLcgj4XVy/Psr4RJItbZUMDc8wPZ0mFPTgcimMjSUoFg1M06aiwsfe3Y243Aq1usnlK7fQdZOe3kl03eLhh9oIhTxoqsKu7bVcuzHGqdN9SJJEfV0Yn8/FmbP9ZQmqLnaN8CfffIfr/RNl3dUsxpbGGPs769flvaRJMrW+AFVePzuilXyxYydXpif5SX83J8aGeGXwJsfHhqjxBXistokXWjpoD1WsKltxG4IgEPS7+ejjnZy4PMBMIrvm+9eLnqFp/ujP3+AP/9HHlimtC4KESABRWL47u71glDRz7vy7LNx+1ha/X0Cd3zjIUmTJ6xLehf+U8M+PXQqgbDuDW9mOJAWXHf/01SG+/eoFhicSm9Zvuo2GqjAHtzcQDX8wCupr4fYu/rPP7OatMz1MlKmzdXB0lj/++tv8q9/8MLXx5b/zelDh93C5f4xvDU+iWxayKJY2rIKAIEBnfSWnuoe4PDiOblpl4XBd6RnjO69d5OZg+WxOKiN+Du9spOYeWSoAt9JMVu/GctIY1hxp+xJZvRtJeBVJ9OFRWvGp2/GqnXjVDlRpYyKmHygEFwgquD4Ooh9wQHj/nglBEIgEvHziyZ1MzWX48bHrZRvbth1OXh7kT755jH/8i0+tq5P7fpEuFPnjV9/jjWu9pPIF8rqJvcZcNTSToGtsitev9nC4tZ5ffHgvHdWxsnEeNx1UFS2TyXwWwyrfQlu0TL7Td4Xf3H7470VQZZo25y4M4nYr5As6Fy4NEfC78c1rGKXSBTTNoDIeoLYmTDDgZnB4hmDQg3/eN1HTlHlhR0il8ng9KuGwF49b5cSpXiYnUoQjXmZm0wT8buLxAKoib1qgL5cvySZ8+9WLjM+kyjaxroRPPrVrTUL33bityRXUXARUjRpfgEdrGxnLpjk+Wgqsrk5P0jM3w992X+a/PPtJ9lfe2zS2xK2K8cXn9/In3zy22a8FlLIMZ68N87/96Sv8z7/+IbzuuwOrlb/zYi6BcFcAtTbu/RveHk8UvIjS8t/9YtcIf/b9E3QNTJbtuquyxKN7Wzi0o3HTInsPEtWxAL/+6Yf4w6++UpbxbMfhas8Y/+7PXuOf/9pzVEXX53O3GPGQj48d6sS07IVgSlUkFEni0w/vQJEk9rfXcvva+zapudM1MMlf/eg0Z68NY5ap20+WRPZureXpQ1vWlbFrDv8zGoK/S94cJKtfI6NfJVO8St4cAMsmb/Qzl38bQVCRBDeaXI1P3VESBtV24JIbEMWfDW+6ZRAEQEIQS5teBxPsSaB8/n/3gigK1MQC/PxH9jOdyJbVbqyom/zkvetURgP8wkfX75SyEUyns/xPX3+ZK7fGKSwSNVVlkapggJDHhSbLFE2TRK7AdDpLTjcW/vfyxS56J2b43ece5khrQ1n4nQ+0/DeYnuNbPRe5MD1KxOXhF7bsY3+sFlmUOD81yl90nWEyn8a0bX5/zxPsj9UxmJnj/7x0jHfHB+hPzVDp8fHJ5u08UdP6IE/1gcKybHp6J/jVrzxGIpHjr75+nGDAU3qmBIjHAoRDHq7dGKWxoQKft9QJeXvSTSRznD7Tz/mLgziOw949jbz0k4v09U/R1lpJUTcYGJohmcojCCIglHYGAvedvbZsm5OXB/naD0/RNTBFrkxu9Kvhod3NPLSr6b45J4IgoEkymiQT1Fy0BCN8fssOzk6M8NXLZzkzcYviOgN/QRDweTQe29fK2WvDnLw8eF/ndDdMy+bts30Uii/zL37zw4T99yf/UG4IK3Qbnbo8yFe/e5yrvWNlJTzv7qjl6cNb8G9Awfv9hiAIKLLEI3ubefJgO0dPl0diw7JLgfW/+M8v8a9/+4UNZ6wkUcTnvl1KEVj80dsB1J0s79LXN4orPWP89++d4NSVwbIFVFAySf/o49sJB9Z37ytSCFkMosmVBLR9OJjzHMQkGf0q6eJlMvoVsvp1itYoRWucdPEyoqAgCAqKGMarbcWv7sKn7cKrdKBIQT7ILvBluH2hHAv0y6A98b4eXhRFWuqi/OqnjjCbzNE7vLYM0kaQzhb5+o/PUh0L8MyhLWUbFyCnG/zL77zKhcFRTNtGkSQe39rMR3d3sKOuCq+mzHe6lxZC23HIFg1ujE7x08vdvHtzgESuwNWRSf7L6yfwaRq7G6o2nbF6YEFVzjT44f+Xvf+Okuu+r3zRz4mVc1XnnBuNHAkCYA4SSZGisixZkmXP2GPLY49lv/Fce+b6PXvdmXnjuWPf5zSOsrJkWYGURFHMEQSRM9A556qunE56f1R3A000gG6gEUhprwWgcOqkOnH/vmHvwTMEbA7+4q4nOTY7zotjvXhVO52BMn4weJr7alrYU1GPiDCvyyTQ4AnyB9vu57de/wF/tPMhal0+5BUKON6usNlkfvVX7kFRJJxOlf/w7x9CEErEp6O91OkhCAK7djaXCvllkcbGC3YyPq+Dhx7o4v771iGJAqIk8plP3YlhWKXaCUHgjp3Ni/UJpQ6P0ovyEx+71KrnnbCsUmLJMi1yBY0DJ4f47vPHOTc4RTZfvCEF6RfD57bzC49soyzkueYLeuE3mJZFLJ/jzfEhnu47x9HpcVLz9jWrGYMIgkBtRYCPP7SF7qFp5pJrI56p6QYHTg7x+//rKb742Xtprg3Pp29u/UPesiyKmsFLB3v4yg8P0j8aXbOUH0BZ0MN9O9tY13R5XSLLsjAsq7Rdi4vSWzf3+AiCgN/j5Jce38npnnFm1igNbJgWZ/om+Z3/8T3+4N8+xPqWylX9vqvNdz3HybIsNN3k7VNDfOkHBzjTN3nFNMpq4fc4uHtbC1vX1a5qP0vzyosaRpZlIYs+7HINIecDWJaJRZG8PloyWS6cIlU8SV4bJK+PkNdHiWZeKD1zBUfJOFndSIXn47jU9qtt/dp/8ApgZb8P1sK1pWMZPYtbXHim6fN1QYokXSKHo5smqUIBVZJwqZfWLmmGQSyXI+R0IosipmWVqjbfWdcpCqxvqeTXPrqH//nPL66poHM0nuGvvvkaYZ+LjW1Va3IvW5bFl18/wsH+EXTTpDbk5z8/fi/bG2uQJfGy95TPYafC52ZvWz2HB8f525cPcHhgjOMjE3zv8CkiHidVgdVHkS/GDSNVU9kUhmXS4A3iV+3siNTwzPA5ZvOlC+jBmlb+/uzbnI5N8XhDJ62+UoG5OB9xKP0rYZfXtohsQfzrZj6kBUFAvSgCo14mGrOQd37nvgmCgCxLS06WqMjIsrX4vWRXll1WXIaQWvMvLcO0MAyTombQNzrLq4f7eO1IHxMziTWNTlwJkijw8fdtpb2+DGmVeXeL0m/RTZOsXuRsdIan+87x0kg/M9kMsigScjh5uKGVD7V2sSG8cl/JhX1b11LJRx/awj987601EzzUDZPj3WP8zv/4Hp99YieP7uvCpsq3LB22cC1MzSb59k+P8czrp0mugU7TxVBkiT2bG7l/V+uyHZALmEll+NLrh3mrbwTdMHhsSyefuXMrduXmW70IAtRVBvmlJ+/g//7yS2sWsbEsGJ6c47f+27/yuQ/u4qMPbsauKresaN+yLEzTYjae4UevnuZfnju2ZmbJC5AlkU1tVXzw/o3XfZ1feMZJpc5XASzLhkvpxKV0gvtjgIFmxEkXz5AqHiOee4t08TS6GSdVOEaqcByPbfMKSNUNhrIOuJC2EtQ7Fj/ndZ03B4d5tW+QplCQ7bVVtEbCmJaFiIAsieR1nWg6i99hx6ko6KaJYVqIooAsiqQLRWZSGQJ2Owbw7Pke7m5uwiZLSwSgBaG0vh1ddfybD9/J/+8brxJfQ/Pl8ZlkqXD9199PfeXKxH6vhKlkmn89eIqcphNyO/nzTz1GW8XVteAEQUASBERBZHdLLV6Hyp89+wZv9Q3z01M93NPZRIXfg3Q7kipp3tzVmLdT0SyThUAcwO6KejaFK3lxrJc/ePsnfKFrD/dUNy/61gnA5d7rhlHqfjFME1kSURV5xQ+kc31TtDeVI0trT6osq0Tarv/hu1pCYy39vBB5suYfmPMPTXP+hisUNaaiac4PTnGiZ5xTvRNMR1M3jUgtQBQF7tjYyIN3tON1r652zjBNMrrGRCbFKyMD/Kj/HGejMwhCyaJmZ2UNjzS280B9C+XOlddpXYxStMLBA7vaGRiL8uKB7jU9RrPxDH/xjdc4eHKYTz6yjbb6CHabctPIlWVZ6IZJKpPn8JlRvv3To5zunVjT6ATM6+J01PD4Pevxui+f9jFMk79/9RAOReZvP/ckXoeNZK40Crcsi2xRo6DrCAhIooDbbsOyLPKaPt/lU0qR6WaphdqhKhimSV7TKc5LQThUBZssreh6KAnCKty9vYWe4RmefvnUmqbC8kWdv/3Om7x9cojPPr6LruYKHLabR64WyHQ6W+B07wTffvYoB88Mr3ndpCAItNSF+fj7thK8Tq2ud2IhklpKC2qYloZlFSgY0/M1WKdIFU+RK/ZjWlkEJARBQaCUHlzBFtZ0f98JQbl8SqygG+Q0nYc7WtlUVUEsm+MHp84SzWQJuZzsbqhlNJ6kPxpjd30dTlXhue4+huNxGoMBdtfX8VJvPwBNoQBD8QTfOnaSmUyWbTVVrK9YqqgvCAJ2m8K+bc3Ekln+6fsH1qzsw7Is+kZm+bOvvsx/+pWHKAuszCPwcnizZ5hkrtSN/Jk9W1dEqC5GaVaB9TUVPLa5g5FYgtFYgsMDY2yoqSDsufaGgTUhVUXTYCqXxqkoyIKIR7FR5vTgVmwMJucYTM1xZm6KsMNNmaOkSzOcjiMJAjsitfQmYoznkosPcxGBgM3JQDKGU1bwKDYcF0WspmaTvLi/m4npBLVVAXZtbqQi7KGoGaiKjKpI5Asamm5gtykoskQmV0QAfvraWZpqwzdEcDCX1zjVM8HU7Np74a0EFqWHpKYZ6IZBoWiQzhaYS+WIJ7NE4xnGphNMzCZveI3U1SAI0FoX4bOP76S6zL/q5QeTc/yvw2/wxvgwqWIBl6LS6AtwR1UtH2jqYH24fM2inLUVfj720BamoylO9qwt6SgUdV490sfR86Pcu6OVR+/qorY8gNOhYFPkGxJRNU2LfFEjlSlwfnCa7790gkOnh29IV6cgCLTUhvnQAxvpbLpypHAynmIkGufX778Dl00llslhmlap69ES+NaBE7zVP4wkiARdDv79g3swLJNvv32C6WSGgqZT4fMwHIuzr62Bj+zYwFA0zo9PnKd7YgbTsri/q4X7O5vxOlZO4oNeJ598/zbGpxMcPL22pMM0LY6cHeV03yR7tzTxofs30VAVxOlQsanymtpnLG7TsigUddLZAgNjMZ56+SSvHemjUNSvvvAqIQBVES8feXAzWztXImFwdZiWjmkV5rWqCuhmmqzWQ7p4hkzxLJniOYrGNCAgCgqiYEMUHahCBLtSh1vtwq124bVfKhB9O8Fnt7GlupKnT5/j3PQsjcEAsijyvo5WBmNznJmcYXttVcmCRdPQLYvZTIb7W5pZV1HqgryjvpaX+wYwTIvWcIiWUIhPbt6AegWDea/LzkO7O4glsnzvhePk1+i60A2T4+fH+bvvvMkXPnkX/uuoKT06NEbRMLDJEk9uW3dd+3Vnaz0vnOljNJbg3MQMiVz+1pIquyST1zX+8tQbyIJImcPNB5vWs6+ykffVtfPU4Gn+x7FX8Kk2Pty0gUZvqdX7+ZFujsyOYVoQsDn4RMsmlPkRul2WeaJhHV/rPkKly8vjDevYUbb0hoyEPLQ1lpHOFhgajTI4GmVsMk5tZYDWxjLO9EzQPTDN+vYq6qsCvHmkH1WRb8iDYwGjU3H++G+fvWHrfy+hIuTlc4/vpKOx7JrabcfTKV4aGSBod7ClrJKH6lu4u6aRSvfKzWFXCkEQ6Gyq4JOPbGfuW68xPDG35ttIZQo89fIpXjzQzab2au7e3kJXcyVetx2HTcF+HYK5C7Uy+YJGrqARjWc4cnaUlw/1cH5wes0EPZdDWdDNI/u62Lfl6o0mM+ksfqcdh6Jwdnyaf3ztMN2Ts3z7Nz6Jz2HngXXNPLS+lWxR47uHT/FW/zA7GmtQJInNdZUUdYOJRJpHNrYzFI2TyuV56WwfqiTxWw/tZXA2xktn+2kKB9lUt3LVakEQqC7z8fkn7yCayNI3PLPm8YtCUeeFA928frSfDS2V3LO9hU3t1fg8jtL5tynI13H+dePC+U+k8hw7P8bLB3s42TO+GMW7EfB6HDx0Zwfv23NtLz7LMjCtAqaVx7DymFaevDZKRju7SKBy2uC8CK6MKDiQRDt2uRZFCuJUWnGrnbjUdTiVVhTJy+rqpG5draNpWXhsNj64vpPz07O8NTxCcyhEuqhRNEwEoVSsnSkWyRaL6IaJ125fbFbQDIN0obg4j9umYpNlotkcAYcd+xX0mcpDHj5w93piiQwvHexZswFXrqDx2pE+IgE3n35s+yVd0CvFaCyBbph0VZfhdqzO4u6dKPO6qQ36cCgyQ7NxMtdpw3XdpKrNH+Ev73py2e+qXF5+rWv3st/9yrrLF1ArosQDtW08UHv50Gh0LsPhk8N0tFTgc9uxqTIffHATLx/oYWwyTltjGXabwvB4jJHxOda3VdJYG6Z/OMqNDun+HFdGOODik49sY3tXHeo11sqEHU4+1bmJB+tb2BipWLV6+mohSyI7u+qIPryFL/3gbWbm0jdkO+lckTeODbD/+CDhgIuOhnI6mypoq48QDrixqRKqIqPIUqlpQRQXdYpMy8IyS+le3TDRNIOibpAvaEzMJjnbP8WZ/kl6hmbW1JricvC67DxwRzuP37N+RSktWRRLRepYbKmv5j8HfPzmV58CIK/p/PhEN5PJFLIkMRyNUxcqaXXZZImI102+qJPXdFRZRhIEZtNZJuIpzoxP0zNVslRy2RQc16CmLIkiHQ3l/NITu/iLb7y6pp5pF6NQ1Dl0ZoTDZ0fwe5x0NJTR2VRBe0MZ5SEPNlUuReNlCUkqNbsIgoggXKiVNM0LEeuiplPQDKZjKc72T3Kmf4rzA1PMrWG9zOXgsCns2dzIpx7Zfs2ZgXTxFOnCKTJaN5liN1mtB92MU4pC2ZEEFza5Ckl0Y5OrcCntuNR2XGoHdqkGUbxe4clb967I6zpHxsYZjM1hlxU2VFYwHE/wSt8AlV4PnWURBmJzjCaSiIJIucdNwOHANh+FSuYLnJ2eJpbN0TsbI+RysrWmip9293JnfR2tkSvrFzbVhPjwA5uJp3JrKquRSOd55vUzRAJu3r9vHY5rMBtP5gpYlkWl37smFjaVfi8eh41UvoB2ncLWN7/6c41QGfES9LuAUrG1bpjMxFKYpsnQWIzeoRncThumaWGzKaSzBeLJ3HxU5NZ3Wv2sojzk4RPv28pDuzvwuK5dg6wzVEZn6OYK/TkdKvfuaCWRyvGd544TW+Ni3othWhbTsTTTsTSvHulDnJd5iATdlAXdhPwuXHYVVZWxzdcU6rpBQdMpFHUy2SLTc2mmYylm59Jk18heZKVw2VXu2tbMxx7agnOFisrlPjcFTWcqkaYhFFiilD06l+DZU9184999gmxR429fPrj43ULxqXCReKpFiaR57DYe39LJh7aVdJwM07xmIUKbKrNzfR2fenQ7X376baZjN4ZYQ6keci6ZZf+JQfafGEQQwOWwEQm4KAt6CPlduB22EslSJWRRQjcukKhsrshsPMN0LMV0LH1DjM+vBFWR2N5Vyy8/ecclYrerQX/sv5IsHAJKzgOi4MAmVSFJHhxyAy6lBYfSilNpRpWWkgTdjF/RxUYSvUji1Z5Bt+5d4VJV7mpqYE9DHZIoMjwXR5FEtlZXEXA65lPDEfY1NSwuUxfwL34OuZw8uWGp5c39rU2L8gMrwfqWCj760BZSmQLnBqfWLPU9GU3xneePEfQ7uXNT46oH1zlNwwI8DvW6pEMW4FIVFEkiWsyhmzeZVBUMnVOxSRyywrrAhUI3y7KYzKYYzSRo8ASIOG6cp5dNVQj6XQT9TqajKYrFUmjyyOlRKsu8uBwqo5NxsObThA1lHDs7SiKVp646uOous5/j+iEAFWEvH3t4C+/fu27F+XTLstCu8yJfgDwf1bkeBH0uHr1rPQXN4KmXT615l9TlYFoWyUyeZCa/pjoyNwIOu8KerU189vGdlIc8K14u4nGxqbaS/X3DFHQDzTBwquo8aRIJuByLNQ9jcwnqQv4rrs/rsFMX8jM4O8f+3mE8DhsORaY25Mdtu7YIhsdl5/5dbRSKOt969sgNJVYXw7IgnS0s1kHdzpAlka2dtfy7j+27pnrJ5SGgiEFsctX8n0rAwrBypIrHSRWOrXqNZe4P4rGtv8pctzarIQoC4jwB8tntNAQCOJRrr7UTBGHFhApK0jw719eRTOf48tMHGZqIrZnEzuBYjG8+cwSfy8GGtqpVRTMX9sE0LTKFIvIqftNyMLEQBGHR1uZ6sGpSNVfI8YcHfkKTN8hf3vWhCztlWbw83sc/nD3Ib2/cy2MN11c8diWEAi5C8xYXtZWlFMBCp9vCaHV9e9US6YT66uBixf9tIAn0MwVJEqkt9/Pk/Rt5eHfnqgoUNdPkqb61sU+4q6aBMuf1k/3ykIcP3rcRy7L40Wtn1szK5r0Ap11h39ZmPvfELmorVm9b9aHtXfzw2DleOdePicUDXS3YZJn6cIC72xt57nQvbpvKQ+tb8Tkd2BWZ+pCfkNuJRy9Zt0Q8LgzTxCbL3NvZxOs9Q7w9MLJYg1Hu88B1aI8GvE7et6cTw7L47vPHmbxBqcB3I2RJZMf6Ov7dx/bSVLM2nqMlWBSMMQrGGKxR0M1j27ACUrW2SGUKnO2foqEqgMOuki/qnOoZZ0tHzVVT5AGng4Dz5gsGq4rM3dtaSKTyfPPZI2tm3WRaFqf7JvnGT47gcqq01EZWHUXun5nju4dOX3eg5PTYNOn82lxY79r03ztxcegfuKQt/UZ6D/0cl4ddlelsrOCD929gz5Ym3KssTMzqGr/7yjPXtQ8iAk5F4R8f/vCypGqhDkUr6tjsCrpmkJrL4PI6sDkuRDS0go5hmNidKpVhLx9+YDOyJPGj104zHUvdcJHU2x2u+fToZz6wk7rKa/MB9TsdfPrOLct+99m9y3drPdDVesm0jbWlTkMnCo9t6uCxTR3XtD+XQ8jv4rF9XSiSyHdfOM7oVPxn/vwrssTuTQ382kf30FRzeWP71cBr344sXt0j8FpQinbdXIxOzfH2qWF+5UO7qbGrJFI5/tdXX+Yf/uiTt6W5+AJcThsP3dnBXCrH06+cXFMx5EOnhwl4HPziB3bMG86vfPnjwxMcH55Yk31ZK9xwUqWbJiPpOH3JKIliHkWUqHH5aPdHcMoKgiCQKOZ5eayP3RX1HJweQUBga6SKtFbkdGyKgM3B5nAV3nkfQMuyiBWynI/PMJ1LY1kQsjvp8JcRdrhuSBvyz7F6eN12dnbV88H7NrCpvRplhY70F0MRRR5pvLRhQRAE8rrO+dgMsXyOWo+Pcpcbh6wgAHlDZyabYSgZp9rt5c6qOirdpVRU/+lRqpvLsNlVhnsmCVeUbuS52RSV9WHy2SI9J0cIlfto2XCh63RmYo7UXIb2LQ1AKWL1ofs34rQrPPXKKUan4jfUG/F2ht/r4KHdHXzyfVupXIFR7nsBQZ+T9+9dh12V+e6LJ+gfja6ZQOy7DQ67wt3bWvj8B3dRVxm8+gIrRK3v32JZN6ZjWxJvL0Nv07SYnE3SMzKDgEDY76KtIYKAwMRskkQqR1dLJfmCxuhUHFWRqasMkEznGRiLEk/lMC2LppoQVREfiiyRTOfpHpommy+lyDa0VuJ2Xlu3XMjv4gN3d5FI53jhrfOkr9NXdgHZfJFXj/QR8Dn58AObiASunk1w21Q81+lteTlcr9zSDSVVhmVybHaM7/afYjg9hyCIGKaJXZJ5pL6Dh2vb8ag2pnMp/vjw83y+YycnohN0x2d4f307RcPgXHyGnK7x+Y4dPFLfgQVMZFM8NXiaA1MjGJa5qBu0LVLNh5o2UOf23xa2Hz+rUGSR2ooAd21t5oHdHTTXhK75fDhkhT/e8+Al04uGwcHJUb6l6+yoqOH9jW00+YJ41NIDI6MVGUzO8ZOBbuL5HPfVNVPmLD1E337hDPd47NidNg6+eJp7ntjOWP8UCAKV9WFkpWQHMTE4Q1NXNfGZFBPDUSaHZrFgkVQBhANunrh3Ax6XnadePknP8MwN0Xu6nVFT7ufRu7p48r6N16U9826Ef14ywOOy870XT3C6d2LNdH3eLQgHXDywq51feGTbkheiVtSJTSUIlHnJpwt4Q5d/WSaiKSRZwu27IA5qWSDgQRIvdYpYEC4t6gbOa+geWznW/j2SSOV46WAPQa+TZDq/KGmSzhX43ovHsakKoihwdmAS3TRpq4twqneC8wNTdLVUks4WeOvEIH6Pg7rKAKf7JjhydrSkayYKBLxOKkJeTNPk1cO9i52e0XiG2Xiax+5af80lMLUVAZ68byOJVI63Tgyu2bU+l8zy0zfP4fc4eGTvuquKQX94x/pF8c+1RqV/5XWgy+GaSJVhWfQnY/zv028tTrOwOD67NAw3lk7wrb7jjKUTPFLfSYe/jJSW56nBM3z5/BEqnV52lpciAaZl0Z+M8ksd2/nSuUN8r/8UTzR28Zm2bXz5/CFeGOvhkfoOMlqRl8f7eH60lz0VDdxZUQcIvDLezwujvQRtTj7cvAG3cvsatr6X4fc42NFVx707W9m+rm7VSunvhCgIhByXqjAPJed4frgPC4tf3bSTjmDkHXO4aPQFqPP4+M9vPM/3e8/Q6AtQ4/EhSgKD58bRigaZRA6X105sOoWu6aWiaEnE4baRzxbIJPP0nhwhFc+STeexL9PJ5HHZed+eTkJ+Fz985RQHTw+TWaNR3O0MQYBNbdU8fs8G7tvVhv0azbDf7XA5bNy1rZmA18nTr5zirRODa2rxcbtCEKC9oYz37VnH+/euw+taGgHJZwuc3N9DQ0cVqbkM1c1l5DNFXD4HWkFH03QcLjv5bIHh8xNUNUYWSVUqW6B7bAZNN4j43NSV+S+JdOeLGrFUlrqya0s1rwxrH3nWDZO5ZLbkCpEtztcDw9B4jJ7hGf7rv/8AFvDywV5eeOs8bXXvfLYtRS6vYVkWjdUh1jVXEPK5UGSReCrHc2+dZ3N7NZGAm0Qqx6uH+3h0XxfXQxbbG8r48IObSaTznOwdR79OCYIFjM8kePqVUwS8Tu7a2ozDfnmy/Ik7Nq3JNm8ErukpaFkWs4Ucb04OXpgGTGaXFrAdj05wdm6aJxq6eLJxPS6lVJ8Scbj54htP89J4H13BCx2EO8pq2RKuprtihoMzIzxU206t28cbkyH6k7H5DsMkb0wMUun08Km2LYsK7SG7k3Nz0xyaGWVvZSNu389J1c2E066wrrmCOzY2sndzI/VV1+/vdCVMZzMcmx5nT3U9rf7LF8Q2+oJUu70cmBxlJpehxuNDtSkMdU9imSVdH0mSqG+v5OT+nkuWzyRzJKJpNuxuZXxwhtmJ+LLbsakyd25qJBJwUVsR4PkD55maTa255cvtAp/bzr6tzTyybx1bOmp+5iPDqiKztbOGoM9JbYWf5986z/BEHGONOldvN3icNnZtbOB9ezrY0VWPqsiXRD8s0yI1l6Hv1AjFvE50MgGAYpMoFnREUURWS9GpfLaAdlHUY3Q2zvmRGcoDbkKeUjbieP842YJGRcBDdcjL8f5xbIpMbcRPMlvg3Mg0dkWmPOAmns6TyuVRZZn6igDZvMbITBy3XaUq7COWzDCTyFAZ9FIZ8i4KZt4MhPwuPnT/JmrK/UxFU7x5fACLkvdiOODBYVcxDJOKsJdXDvUCSymQOR+lW8CGtip0w2R0Ks7w5Bzb19XS3lBGIp2joOlYFhQ0g8qIj5a6yHXfq4IgsLWjhvTDW0hlC/SPzq5Z2UP/6CzffeE4Predbetqr6lk5FbjmkiVJAq0+cN8cfPdi9NMy+L50R5+Mnx+cdp4JolumtS5/YuECqDdHyFkd3E2NkVOv6CfE7Y7EQTwKDYkQSRidyEioIpyyakbi1g+S38yiiSK/OPZC1o1OUNjJBMnaHOS0m6uJsvPMuw2hfUtlezsqmNLZw2tdSX/uhuNgqETL+SRhCvLJAiUol1z+SxFoxRm94fdTI/NEakO0Hd6lMRcmp4Tw0wMzTLWP40oifSfHiOXzlPZEEG1K5x+u49CrrikcP2dEEWB9oZyIgEPjdUhnn/rPEfOjryn0kGiKLC+uZL7drVxz/YWykOen3lCtQBBEGisDvGRBzeXzv/+8xw8PUzqJmtE3UiIgkBbfYR7drRy745Wasr9ly2wFkQBh8uO2+ekf3QUCw8ujwNDN8lni7i9DvSiQTGv8c7Iiddpx++yU9QMnHaVybkUPWOzVId8i/d7vqATS+XIazrH+8cZnIxhVxXODE9hV2RcdhXdNJlJZrApMplcAa/Tzvhsgp6xWXJFjYHJGHdvbKIqdGvrAAUEyoJuovHMooXY5GyCspAbSRSRJJHsvPVaPJVjZi5NaD6q53OVBjiz8TRPvXyKE93jVEV8eF12HKrC5o5qNrZVI4ki+YK2Jt3vkiRy56ZGkuk8//zUAcZn1qYD1rLgdO8E//r8MTwuG52N5Vc0YL8dcU2kSkDAr9rZGLrQPWGYJmfnppbMlzdK5qfqOzQkFFHCJknEC/klI3lFLM238JCWBXF+e8C8FKBmGuQNHTsyscLSVvYt4Srq3AECtp+tuo5bAb/HwfqWSrZ01LCxrYqWusg1KeNeK0rXkMxYOslQKkGD17/sfMPJOOPpFHZJXnRl79jaSE1zOb6gm3CVH9WmUNUQxh/2oKgysipT316JZVn4wx5cHjtTozEUVb5iXcgCgj4nD93ZQWN1kDePVfDi290MjMfe9UXsNeV+9m1tZs+WRja0VKEqKzMmvlnonp5lMBbnwfbmxf2aSKQYiM1RH/BR7V/9i3Mum+PZsz081tWOe4WFsT63g7u2tVBXEWBdcwUvHeyhe2jmhtoB3QxUhL3s3tTAvi3NbGyrwuVQr3j+bQ6VdbuacXns+MIevAEXoihgc9jIpvMoioQoSxRyRbSCRqjSv7hsZdBLQdMZjyZ56+wQbocNv8vB1tZqbIqMaVrUlfk50jdOUTMYnJwj5HXicdiZjKeQJJGOunKm5pIc7R2nqTJEW02EpsoQb50doqDpVAa95ArabfHSFgSoqwjSVhfhm88cQRQFcgWN+3a2IckiFWEPhmHylaffRpJK5GgBp/omON03iWVZ5PJFmmrCqIqE06Gyb1sL+48PcrJnAkGAzsZytnfVrck+21SZ+3a2EU/l+OZPDq9ZR6BumBw8PYzP7cD92A7qKgO31XPmarihRRBOWSm5yBtLR+oFQyera3hUW0lfYv5ZsxK5eUWScckqbf4Iv7F+zyVRClWU8P+cVN0QSJJIa32ELe01dDVXUF8ZpLbCv+rI1EQmxVAyjl2WaPGHcSvLR3/ihRxuxcb5uRm6Qksd1UN2JxvC5RyfmeTvTrzNY00dtAXD+FQ7ApAsFjg/N8tTfWc5HZ1ic1klAXvpuqioCwGllGGkulSPsX5Xy5L1B8sueAhalkVFfalFfKU3tyyJdDZVUF3uZ31rJW+dGOSlg73vSk2jirCX3Rsb2Lmhno1tVQQ8zttSomQymeboyDh7m+pxzlvRjCdTnJucIeCwU30N60wXirxwvo/725pXTKqgdP5b6iJUhL2sa67gwMkhXjnUy/Dk3LuOXIf9Lnasr2f3xgY2tlURCbhX1P6v2hTqWkvSFqEK/6KooiAIl/28gIlYkolYkkQmT66g01od5kjPGK+d7Kcm4ifkcXKsf5yhqRgTsSS1ER89Y7PURATKfG4y+SK2edLvcdiwLIsjPaPE0znsqowFjM0mqCsLXMW2aG2v88qIjw/cvZ7AfEOH12XnVz60G1ku2U998L4NdA+VzKCDPicdjeWIgkBDVYjH7u4ilsjiddvZ3F5DwFtaR8jnor4ygGGYNNeEaa2P4HLYEEWBB+5o49zAFNlcEdOyiATXVpTb47Lx2F1dzCWzPP3KqTWrJc0XdF493EfA6+SjD22mLHh9xeM3EzeUVDV4Athlmb5ElGQxvyiJcHx2gmg+y8N1bThkdVXpurDdSbMvRKyQpWDotPmXFvG9ux5Xtz8CXgdN1WFa6sI014aprQhQVxEg6HNdcxjZKStE8xmqXF5mchnOx2bwqjY006TZH2QgMYdTVnhptI97apo5ODVKWitS7fJS4ylFG6rcHj7Q3ElvPMrTfec4NTtFubMkqQCQ03WmsmkGEjF8NjuPN3dS4by2G/N6Rklel51dGxpoqgmzfV09b58a4o2jfYxOJ655nTcDgiBQV+Fn14Z6tnTW0tlYTjjgvu524xsJp6pgU2QGonP0zUbx2EovFkUScdtsTCRSvNo7yHgyic9h58H2Fqp9XkRR4NmzPXjtNk5NTJEpFtlaU81dLQ1L1j+dyvBG/yDVPi87GmpX9Lp1O21s7ayloSrItnV1HDk7wutH+ugfjd7W9XaCUCLTO7vq2dZVOv8VYe911bhcfB9d7vMCXHaViM9VUtturKDMX0qDCYKA32XHblPoqq+guTJEyOuiIuAh7HPhtKs4VQXDsvC67DRKQcoDHmRRZDaZweu04Xc78LscZAsaPpcdxxUbLNb2HPk9DhqrL9SAOuwK9+5oxbJMovn9OL0+9mxtIF3sJad3Ywo7gTBup43N7TXLrrO+Kkh91fIyFl6XnZ3r69f0N7wTIb+Ljz60hWgiyyuH1s58OZkpeQQGfU4e2bcOn/vdESy5oaRqc7iarZEaXhjrxcJiQ7CSeCHHDwZP41ZU7q1uwSWvzi6i0unlvuoW/uHs2/zlqTe5v7qFoN1JWivSk5hlc7iKXWW1qDfYYPe9CJsqUxZwU1Xmoyrio6E6SE2Zn3DARdDnIuBxIEnidYdifTY7DknBb7Mzm8tgmCYe1cbBqVFqPT7Ozk1zZ0U9GU3DpSgUDYOg3cGZ2PQiqXLICvfUNgIW3+s9w5GpcY7PTC7ZjktR2VpWxZOt67i7phGHfOuuiUjAvag7s3dLE6f7JnjrxCBnB6Yo3EY1V25nqY5hx/o6OhsrqK8qEejbmUwtwKkq2GWZs5PTHB2doCHox+ewo0gSsijyzJnzCILAttpq+majPHeuhyc2riPkcnJ+aoaxRIpHutpQJYlyz0UjegFi2RwHBkcoGgY76pd/uV0JQZ+LHV4XrXVhdm9q4PzANG8e6+fY+XHyxZvry3glOOwKrXURdnTVsb6lkoaqIOGA+6YXDPvdDrxO++LATRAEuhoqMC0LYf7/6+qXRq99816iFz+fHKrCAoWpmI92CIKAz+VYNkJ262ARyx3Ab99EtjhA0ZzDo3YQz5+g3HXfrd65q6K6zMfnHt9JLJ7h2PmxNWvQmI1n+NfnjxPyudh3lY7A2wU39C0Tsjv5VOsWXIrKm5ND/HSkG1EQqXZ5+XTbVroC5Yt1LiuFXVa4q6oJC3hupJt/On+oZEkhyaWUULBiTVyr3wsQhFLKTpUlZFlCkUVsiozLYcPntuPzOPDP/4kE3EQCbrxuOy6Hisuh4pkfEd5IMdWiYRB2OAnanciixOGpMSYzabw2GyYWGa2IU1Epd7g5OXuhZk8QBPw2Ow83tNIVLmc4GWcsnSReKGmX+Gx2atxeaj1+aj0+HLJ8yx+egiAskquOxjLu3NzI6FSckz3jHDs/xsBYlHzh5hMsr8tOa12EjW1VdDSVU1PmpyzoXkwhvFvgVBUcikLvbBRFEvHYVXpnorSXR0gXCkynM9zV3MAdDXU0hPz8zxde566WRkKuUsFvmcfFzvoa7LK8JD6Ryhd47lwPBcPgF7ZtotJ3rRHPksVNwOuktS7C9q5axqYTnOqZ4Oj5UXqGZ8jdZONrAKddpbk2zMa2KrqaK6gp91MW9OBx2S5xpriZWO7au2JTylXu73d+f6ufB++EhY5h5pnJvYYk2gk795HND97q3VoxmmpC/NrH9vDf/uE5+seia+YwMDoV5ys/PEjA62BzR81t3xEoWKt0DywaOmfnprHLCu0Xpd4sy2I6l2Yim6LG7SNsLwktmpZFNJ9hMpsiq2tIgkjQ7qDa5UMVSznvrF5STm/1hfGqdqL5LEOpOTaEKhAFgfFMkrRWYF2gfDEHn9U1JrMp4vOu0rIo4lFsVDg9eJSVKcaapsVkNMn4zO2dirlWCPM+h6IgIIolH0RJFJFlEUWWUGUJRSnl8u2qjKrIN+0lOpfPYZdlioaBIknYJZl4IYdmmBRNgyq3h9FUkrCjFIUM2Z3M5XNEnMurIOumScHQFzv8Fta5WtJ+M2FZFoZhEk/nmUtmmY6l6R2epntohr7RWSZmkmsexRKEUjt8fVWQppowrXURGqqChPwu/B4HHpftus1JbxVmUhle7Onn4NAorZEQ5V43z5zp5v3r2ugoj/D0qXPc39bE1tpqkvk8v/e9n/A79+2hvTzC//Pym4RcTj62dcMSw9mRuQT/4bs/Yl1FGTlN44v37aXCuzb1HZZlYVoWiVTp/EfjGXpGZugenKZvdJaxqQS5wtqTLJddob4qSGN1iJb6MppqQoR9LvxeB16X/bZ/ad1MmKbFucGpxY6864HXZae2IrBsQ49lWSSLpykaMyhikKIZp6BP4rF14rdtvO5t3ywYhknP8AyZXHG+tWxtIIki9ZUB/LdpPefFWHWkSpVkNoWrLpkuCALlTg/l76hbEQWBiMNNxHH5AjmnrLKj7IIdSMThIuK48PKs9ywVdxMEAZei0uy7PsNOURSoipRSXT/HzcVC0fhCDRRA0O5cEpKvm0/1LeqbXYZQAciiiCyquJaJDqeKBU7MTNIeDBN23D7WFIIgIMsSYb+LkM9FU3WIja2VZHJFsvkiyXSeyViK8ekEU9EUs/E0c8kcqXSeTK5Ibr7F2jBNsEpRSUkSsasKLqeCy1GqHwn6nIT8LirDXiojPkJ+Z6n2xF6KSNrnFZzf7XCqpcaYRD5PSyREVtPIaRqyKFLhdVPUDaZTGYqGwanxKSJuFw7lwgVzuSiI12bj8fWdnJmc5msHj/Ore3fgtl2/Dp4gCEhCqSA54HUuijcunP9UJs9ULM34dILJaJLoXIZYMksykyeTLSyef90onX9REpFFEZsq45yPNvvcDoI+B2G/m4qQl6oyH+HAfO2RXcHlUHHYlNuiA+52hCgKrGuquCnb8qjtGGYdoqCQLJ7F6+xAkfw3ZdtrBUkS6Wgsv/qM72H8vPDo57itcLUC1pUiXSxwcnaKV0YHODQ5xkQmxZ/f+9htRaouhmnlSOv9aOIcfn8LFXIFpmnRqRsUNZ2ibqDPv0ANw8QwSybQljU/HrRKUSgEAVEQkERhkWTJ0nxkUilFJ9eiLm4lMHSD6EyKvjPjjAzMMD02RzyaJpXMUchp6LqBKAqoqoxqV3B7HfiCLoIRL5W1QWoawlQ1hHCs0KvMoSqosoxNkqkP+hlLJCn3uHGqCl67nYc6W3j2TA/PnO1GESUe39BBmefq14MkitQGfJR5XTx98hzfOnKSz+zcsiSidb1YMIR3O22451X7TcuiQzcoaAaapqPpJrphYBgWhmle9fyLooAsiciyhCyJqIqMqpQ+34jzb1kWs+NzeIPuRT03y7Qo5IsUCxreFXi6/SyioEcpmjHy+hhFPYphFcgbE7QFv7im2xlIxvjjw8/za113sLPs2mUVXhjt4eu9x/iVzp3sLr+xRfDXg9K9URqki8LNGzTcNFI1MB2jfypGVdBLU1kQm/JzPgdgWibD2XGenXydoew4iiBzR2gzd0d2MlWY5fWZwwxnx3my+kHW+VquvsLrQMEo8uPJV9jgbaPFc/veLJdDuljk1OwUL4308/bkCOPpJGmtSE7XcSvqmoajV4upsTme+dbbnDoyQCqew+G20ba+hvs+sJmOTXVoZoKcPkbAtgVBkIjlD2GYWRxyFZo4B6qB0xGgaMyhiF4EQSGnj2MTA2hmCt1KYZcq8drWIQq3rpjTsiwSsQxvPneaA6+cY6h3ikJOQyvq6JqBYZiYhll64M2fDkEQEOZJgCSLyJKErJZS0za7Sn1rOR2b63j04ztxXsH2SBAEHupoZm9THQGng2qfl66KMpyqiigIbKqqpDEYoGgYSIKI32FfVNL+xZ1bSqnxd0RsKrxu/uSxBwm5nQjAp3dsxrDMm5JWFgVhngjJwNo4RBTzGm8/f4oDzxyjtq2Sjp3NdO5ovq51nnjtHO3bm1BsMoefP8WGve1UN5eiFaZlkUvlyaZzqyJVz492852BE4xlkrT7wnxh/V7q3IEbWt95OWT1Ir9/4MecmivZsPlUBx9t2sgvtGxdk/XLohMEi9nsqwQduzDMDHohddn5Xxrr5S9P72djsIJf7thJtftCpuW/HX2JZDHPr66745IMT97Q6UtGSRSuzzMvUczTl4iSKq68az9ZzPPqxAB3VTYuqgCsJUzLZDQ7ysnkSfrT/cxpc+SMHJZl0exu5mO1H8On3JyM1E1jNhNzKWqCPoZm50hkcmSKGhGPC5siMxZL0FQWRDNMzo3P0FIRorO67Gbt2hWRLA7RnfgXpnNHiTg20er7CH61ac3WP5ab4tnJ1wmpfj5Y/QCmZaKICnZJpcZRwQPlu/nu2HPkzRvvJaeKCg+V70UVb/8OiwVktSKno9M8N9TL/vFhRlNJ8oZG0TCocHl4uL6NvTX1bI5ULnYO3myM9E3z//29bzE6OEOxoGOaFoIgMHBughNv9/OZ33yQOx5ow600E8sfwrQKaGYCWXRjWhqy6CKnj2NYeQwrhyQ6yGujeNQ2koWz5PQxKt2PMpd/G4/aCreIVOWyRV586ihPf30/MxNxCnkNYwW+YJZlYRkWpgG6ZlBgaR3R1Ngc50+O8Pind19xPQLgttkWU3OKJC3RIFJlibB7+chUwLl8u7YiSZR7L5ABn2PtXwg3E9Z899ymuzrY/uBGkrE0h18oEaHJgRlmJ+ZQbDKn3uymrq2K9m1NDJwZof/kCJHqIKIo0La9ifK6MK9//xBldSGe/rsX6D4ywLo7WkknsrzwjTeRFIldD28kUObj9acO0bi+FqfbwfHXzjEzGsXpdbBxbzvTozFOvdGN2+dk58MbqW2vYjA1x1d7jvDm1CCGZdKTmCFkd/EbXXtuyAv5ajAti4lsksHUHAABNX/dxORiiIIdVbBR7fkwsujGsjRs0uXffxm9yEg6zkwuzZZw9RJSNZvLMFfMoZmXyhq0+EL8y0O/iPcm++KalsV4JsnfnTnAplDlmp/DRDHBv4z+CycTJymYBXRLx7TMxUF0UA1iWJcej5PxkxycO0jOyFHrqOXO8J2EbeHr3p+bRqqKus4Pj5xlV2sd0VSWLY1VHB4YpzroJZrK0lIZ5sUTPVT43Jwdnb4tSJVhFZnMHaI3+QNMSyOljeCWq/Eq9YjC9Yf+dVNnKDNORs/yybrH8MgXPfAFUAQZp+xAXmZbL02/xWszhyiaGk7Jwa81f4KA6kO3DA7EjvHs5OuYlknEFuLjtY9Q6YgwV0zwyszbHJo7jWmZbPJ38FD5XgKql770MK9Mv8351ACfrn+cDf72xW0ltBTfGX2WwfQoRVPnnrKdvL/yruv+/deKvK5zJjrNTwa7eW10kJFUgqJpoBkGFvBQfQuf69pKayCMS1FQxFJL/a3q9vnaX73AYO8U+kX6LZZlUSzoDPdN8/0vv0H7tiC6bRDDSgEysuBBFtyASVYbxsLAsgwk7OS0ccAkWTiDhYEk2pEEO5Zl3JJYnGVZzM2m+es/eYqDr56nWNDWrPMHQNcNmtorUZSfF1CblsVweo43p4Y4MjtKfyLKbCFD3tCwSTJexU6tO0C7P8Ke8gY2h6pR3nHt5zIF3vzhUaITcVo21WPoBkdfPI2sSoz1TiGIApHqIKM9k5imSWI2Rfu2RtbtamVyaIbuwwPEpxLkM3mqGiNEakLc+7HdeIIuzh3qZ/2dbVTUh3nx2/v56G8/QuP6Wuamk0Sqg+QyBTbt6yQRTXLgmeNUNpXTtKEWywJxPmo4lUsRLWTQrRIhL5oG/cnoskThvQBBEBhLfZ9k8TQB23ai+f347VtxqY2XXSZgcxDNZzkwPcLO8jrKr1CzvABFlBa9cm8miqbO4dkxUlqBVfbFXRVjuTH+pu9vmMhPLEucrgRFVJjKT9Gb7qUn3UO9q56QGrru98RNI1WqLPO+Le2Mx5IYFpwYniy96BDwOR2cH5uhLuQnV9TorCkRqpQ2yvOjv0bRXDsV6kdqv45bqV7RgTPMPAU9hmmVokSGVaBgJjCsAqLgvO59yZtFknqakC2AR3at6mRu9neyPbABSRD5wfgLvBk9yiOV91Awi7w2c4RfrP8gNY4KLEzsUmlkMpqbIlpI8KtNHyeo+hEFAZtYqn1odNUQqQ3ypYHvoltLX/7fGPoh5Y4wH+94P6qkLnvxWlapxke/gvCbIIAsS4ir1DyyrJK0wunoNM8O9vDK6ACjqVLHpiyKNHgD3F/XzHAqzvd7z7IxUskdVXWLeja3EtHpJGeODl32uFimxcxkgp7jc+y8526wTARBwqL0QhEQl/ksICAsfi59J1HlfgK4uQXHlmURm0nxJ7/1Nc6fGMG6QWrhO+5uvynn0rRMdMtEFW+f8gTLstBMgxOxCb7cfYjXJwdIa0VMLqqpmscYSc7HZ3hhrIe/ObOfMruLT7Zs4dOtW/Gq880hbjt7n9jGzoc3IckiA6dHee6rr9O5s5mGrhr6T45gd9nourOVQMTL+cMDuLxOVLtCbWslh184Rd/JIe7/xB7cfheyKiHJIqIoIogC4aoALp8TbV4eRBAEDN3ANCxUm0ygwkcunccX9lDIFTh/qJ89j28nUlMSsIzYXbgVGwIl6U1REGjyhpEQ0ebvI3G+ZvC9grTWS6Pv3zCQ+Aea/b/BePq7V5w/bHdR4/IxkIxybHaMh2raLnt//NWpN/lqzxHSWhHDMvnvux7hsYZ1S+axLIucobF/coiv9hylJzFDsljAmCe2PtXO72y8i480lzoRRQHGMgn+5PALvDhWkhtp9YX5wvo72RyuQhJEdMvkz46/xksTfQwmYxQMg0d//I+LKdz7a1r4092PXXO901xxjr/p+xvGcmOLUSlJkOafjdZVSVa1s5qIPUJ3upuElmAoO0Szuxm3fH3E86Y9OXa3lQrj1s1HoCwuGACYlrV4oC/+jGVhWAUMay0NSVf+0JcEOzY5iCio82kYBw4phCysXfhSYGX2PBfDtExOJ3s5GD0JwER+ho2+dsBCFRW2Bbr4ytAPuCO0iR2BDdil0v5W2iM4JDvfGP4Rd4Y2s97XtkiqREFEFqRLahZMLM6nB3m8+gFccolIKsKll41hmLz98jn++De/etn9rm8p5/O/+z523t2xqt8bzWf50A++xnAqgSyIuFWVrlA599Y1cV9tE22BMLIo8r9PHATOIgpX1rNZLRZGV5a1vHbOAkzTLNUHXWy3MRxFK1755i7ki0yPxRGQQFjw01vwvXzHZ2v+8yXzANz8SE4hr/GXf/wDzh0bvmHbEEWBLXe23rD1X4zT8TH+d/cr/MWuT9+U7V0NpmUxk0vzrf5jfKX7MNFC9urLYM0/O2Esm+TPTr5GucPDh5tKL0StoPHmD48w1jfF+jvbCJb7CVX6kVWZ1s0NpGJpeo8PU9dRhTfgQrHJSPL8tSYK1LZVEptM4PI6ECWRlk0NPP23L7D1/vWoNgVRlhBEAUmRGDo3zoGfHMPQTGwOFWW+01BSpJI0TjJHLp1npHuC8toQ5fVhGj1BfrF1GwICY5kEO8pq+Gz7No4cGOTI8WFURaKzo4r77+6kWNRBAFWRsCzQNKPUVSkJGIaJZV3Q65NvY6kICwvdzCAJdopG7Kr1n7ppsKmsjp7ELAemR9garr5sh/0vte/gsfpO3poe4Y8OPrtIlC6GicXR2XH+r6MvsS1cza937WY2l+FrvUfRTIPfXL+HnRd16AuCwF+f3s/2slo+37GToqnzjd7j/Ic3f8g3H/gFqlxeJEHk0fpO7qio53sDp3hraoj/Y8v9lDtL+xmwOa9ZU9K0TL4z+h0m8hNYWCiCQo2zht2h3TQ6G4lrcf6y7y+vuA635KbMVoZdtJM38wxnhklpqXcPqbpEeO2iz9JF3138WRBEVNHD5YiQhYlhFjCZHxEhIws2hCswX2EVI3lJVKlwbKfF+wQz+eNUOHZS7dp7xfWvBjZRxS27OJ8aIK1ncL8j/Xe5C262EOenk6/z+caPUOes5LujP6Volo6BIsjcV3YHWwKdvDx9gL/r/zafqn+cBlc1IdXPR2ofZiQ7znOTb9KdHuKxynspsy9vcVCChSxIaOb16+Vca6G4bpqMppNIgkh7MMwvb9jO3up6HHJJQVsW1i61Z5om+ZyG02XDMEw0zUCWRfJZDcMw8AUu3y02OhTFH3Th9V2IYhYL+lVD3qZpUSzqSzsfKemxpfUCWaNYolaCgFNSsUnKNZHxtYZlWbzx01Psf/7MVecVBAFZkVBVGUmZj2oIQulBYJUiLqZRinYauoGum+i6gWVaNLSVEyn33rBIVcHQyeilGpmcoS1ep5ZlUTR1MnpJc0cRJVyyDUkQ0UyDgqHNm7zrSIKIU1ZR1jDCZVoWI+k4/3j+AN/sO74k/SULInZZxibKqKKEKsmlFLhpUDR0coa+OH+508P760oDGZtDZc/j29jz+LYl2/r4Fx9b/Lzn8e3sfrRUhC1KInUdF1wTtYKGaZpsvrsDt8+JIAjc9eQOtEe3ICsSXXdcIL+f+YMnAWjb0nDJbwtV+hEEgdhknF/6o49w/NVzzIzFKK8PIwgCj9R18khd55JlzjHB3t0tdLRW8k9ffYP21gpeePksLqfKts31mBa8+vp5fD4HlRU+Boei6IaBIku0tVawfZn9uF1gE8NMZ55HFtzMZl9Fla5c22NYFtUuH0Gbg2dGznMiNsm9Vcs3HDgUhTolwEw+c9l7KKtrnItP45IVPtW6hU3hKixgrpjjW33HSGqFJS4lhmmxvayW39t8N42e0vsjbHfzR4d+yvHoBOXOkjXQumA5Ga3IW1ND2CWFjaEK6t5RQH8tGM4OcyJxAsMykASJPeE9fLLuk6jzQYL+dP9V1yEIAiE1hFfxki/kmSnOkDOu3xR6VU8A0zRJRtPIioTb7yo9dHJFMskcvrAHaY1HAnYpyPbI7y2m396JnBFlKP1TpnNHAQioLTR4HsatXN461S5fiUBcCq9az/bI765qmZVCEWVqnRWcTJznhen97AiWRpJOyY5f8ZI1cswVk+SNIiktTUJL4ZKcGOi4JAd5o8BMPsr51AD1ztJvNjEZzU3ilOxs8a8jbxSJFuZocFWTMXLMFRN4ZDebA50MZydI6xnKCJLVS9/ljSIpPUO8mMItl1TOu7wtHIydRBYlFEFGEkRCtuu/MVYKVZLYVlbNSDrOcCrB//HaT6l2e7mrpoG9NfW0+sN4VBuacf01F6lknqe/c5BPfG4vM1NJTh8fZtPWBrLZIrIs4nLbKRQ0dN1EkkRsdoViQcfQDQ7t72PTtvolpMrlsV01aibLEm7PpdFP3TL5Sv9+nho5QaXDhySI3F/ZwcNV6wjYbr00RCFX5F/+/tUrziMIYHeolNcE6dhUS+fmOmoaIniDThwuG6Ioohd1ctkiyXiW+GyKydE5xoZmGeqZYm42xR33rkOUb0yqx7QsXp46yw9HT6CKEmGbBwvmjeA1Xpg8wytT3RRNnSpHgI/Vb6fRE+FcYoIXJ88CMJyJUeHw8oGazXT4KtdkvyzLYiaf5ht9R/lG77HF+iIRAY9qY3Ooigeq27ijrI5qlx+bJGFYFqOZOCdjE7ww1svR6BjRfIaPN23CIa2ueeFyKfrBM2MkZ9Nse2A9jos6MZUr+uctj9r2StLxDC9/5wC1rRXUd17d8vro8WFOnRnnjh2NvPLaOR55eAOSIPDVb71FdVWAqko/oihw4OAANdUBWpvL6emfQl9Bw8StRKP/89e03M7yOl6dHODwzChbQpfqR64YVulesCgNLIqGjm5Z5HQNRSgR93fizvJ6yh0XdCmbvSEUUWIql7rhvpYnEycXB/oV9go+UfeJRUIFKy/78CpenFLpeR0vximY158VW9WdUMgV+eHfvYAoinzi9z6AaZgce+UMr3/vIL/8Jx/HX7a23VWy6KDKdfmOn2RxZJFQQYkwlTm3ErStLr10K1HjqOT+8t08N/kmh2PfxC6p7AtvZ29kGycT3RyeO0WsGOdg7CTRYpy7IzuosEdY72vjJ5OvIQsS631tKKICCBTNIj+ZfI14MYkqKjS4qhelGKbzUX488QoZI4ddtLE9uJ4aZ0nY7mSim6PxsyT1NG9HTzCVj3Jf2R2EbH6erHmQH46/zDeGf4hhmewKbuSesl037RgF7U6+9ujHOBud5pXRQd6aGGYkleC7vWf4xrkTVLg87K2uZzJTakPOGzp5XUOV5GtKAxqayVDfDOOjsVI3WkHn+OEBmlsrsCw4cWSQVCqP222nqbWc8ZEYiXiG2anUJbG4ytoQTreduWj6sttzeezUNS/fmCELEh+p38Yvt+7hwOwAT48cp8kdZmekkbyuEStmKJoGiigRsblRRInhTIxaV5CUlmeumKHOFSStFTCx8Ch20lqBRDGHhYVLthFQnUiiSForUDA1dNOcL3xWCKrOy/poHnytm7Gh2cv+LkEQCJZ5uPuRTTz6iV1U1a1OrNeyLGYm4iiqfMNSNxm9wDcGDvDFrvexzlfF3/e8ykg2hgVM5pM8NXKM31n3MLpp8tp0N8+Mn+TX20tebLP5NJuCNfxG+31r3uqfN3Renxzk233HLxAqQaDO7ecXWrbywYb1i64VC5AFgQZPkAZPkA/Ud9GTmOGbfccW035rgdYtDbSuUcTHG3Sz6/2bV7XM1k31bN1SknsZGomSzRaxrFKtliyJWEAo5Gb71nqi0QzKvC7XWhsj3y5o9obYHqnhtYkBzsSnWAj+rhYuRWFzqIofDp3laz1HmSvkSBTz7J8aot0foc13aeQsYHNgu0irTRFFBEqZhRt9vAcyA+hWKTuzK7gLVVjqIbzSgni7aF8kYzkjh25ev4PFqkiVzWFj34d28vf/xzeZHYthWXDu7T4239uFv8yHrhkkoymSsdILxBt0L0awUnMZ4tMJ9KKOKIlEakM43HYEQWBmNIqsyKTiGQzNwBf2EKzwX/ePezdAFiXaPU20ey6VadgV2sSu0KZll3u06p5lpzskO7/W/Illv2ty1/KF1uVrRa60LZ/i4VP1H1j2u5sFVZLYVFbJprJK/q2+nXOxWd4YG+Lg1CjDyQQ/HjhPcl435cjUOD8e6KbZHyRkd+Kz2XHKyop8zASh1G129GA/+VyRSLmPUMRNbX2YTDqP3aFgs8ls2t5J77kJ9r9ynnWbatm0o5GXnz3FO8sVvAEX2/a1MTuVoLCMr5vdodK+sZaWriuP0k3LJKA6sYkyhmVimCZvzvTx+nQvGb2IIko8WbeZTYEa/vDoD/irO36BZ8ZO8d3hI/zNHZ/ilakeBGBvWSs/HT/D2cQEmmlQ6wrwaM0GGtxhjsSGORIdxrBMYoUMDe4Qj9ZsoMrpv2R/LMvi9WdPYhiXjwB4A07e/7GdfPiX9mF3rM44HUqkrKzqxkZEp/NJ3LKdcnupBmRzsI4TcyMl3ZtMjKFMlC/3vQmUmiI2Bi7UlZQ5vDS6y5CXGcVfD0zLojsxw7d6jxIvXkhH1Lp8/Grnbp5o6MK+gshTqy/Cf9764Jru262Ez2vH47Ejztct3nlHK6+/2Y3LZePefR2oqsTbhwdx2BXsdoVAwInLqRIKunG73t1SGJeDKAjcWd7A/skhjs6MkdW1ayL4oiDS6gvzWH0nXzl/hPFMEr/NzpZQNY/UdyybslNECekmimpejISWwJx/2Na7rl1TURKkxUJ5wzIwuf6I5qpIlTjfarvtgQ08//U3aNvaSHwmyYd/6/1YlsXU0AxvPn2YyYEZigWN+o5q9j65g4qGCAOnRjjw46Ok4xkyyRwPfnofm+9Zh82h8sw/vYwoiaTjWQrZAlvu7eKuD9+8SAiAaelk9Aky2tRl5xEFGY9Sg0NemZaFYRWZzZ8CwCWX41KqsCydjD5FXo9hYaKIbpxyBFXyLtbRaGaarD5N0UwhIKBIblxyBbLgXFFY05ov8M8bMYpmCsMsYKEDIpKgoogu7FIARXSvWX3YzYRdVthcVsnmskqymkb33Cz7x4c5Oj3OUDLOudgMv//qTwg5nGyKVLKtvJrOUIRNkUo86pU1WkRRxOWxY+gmTpcdXTfIpAvMxTJYpoXLbUe1KTidKqIooKgSWkEnEctgGAbLHc4PfW4v0+NzdJ8cJRnPYugGsiLhC7pZt7Wej3z+LtRl/MCgVIc2kYtzJDrCyfgYYbubSqePWDHDs+On+VD9VrYF63lzuo9/GTxMi6eMWleQsUycs4lJ2r0VdCenmcgl2B1pojs5xduzA3y6+Q7SWp4DswMcmBmkwV26pqfzKR6q6mRfeesV67by2SJnjg5ftttPkkXaNtTwvo/suCZCdbOgijK6VfKNLHmKloi5gIBDVml0h/mDjY/hlFUsi8UHOZRScTdCBDSlFXhraojDs6OL03yqnQ82bODRus4VEar3Ira9I0JWWx3kkx/dtaSBpKkhgmlaSzoD21qv32bmdjZxavdH2Bqp5vDMKLO5zBLdqtUgms9yYnaCB2pa+L3N9yyxELteKKKEhYVmrk0atmAWFmsfF9J31wITc/GelkV5TZTXV50It7vsbLt/PX/7+18nHc+w/cENuP0uigWNM2/1MHJ+gns/vpv4dIITr52j7/gQFQ0RKhvLuPsju7CAt585Rvfhflq3NizaGYx2T/CFP/scLp8D07j5oVrNTNOT+B7n4l+77Dw20c+m0K/T4ntiRessGAleHv9tLMug1fcRNoe/wGz+BD2Jf2UqdwTTKuJV6qnzPEi9+wEcUoScMcNI+mWGUj8lUewHQcSvNtPgeR+1rruxSYHLEqtSe7VBsjhENH+KqdxR5ornyetRNDOLKCrYpQBepZ4yxxbK7Fvwqg2o0toYxN4KOJULBCujFemem+XtiVGOz0wwnExweGqc54f7cMkqf//wk+yoqLni+hRForWjEl03cLvtzM4kScxlScazqDYZTTMIhNwoqkQw7MbttZNNF+g+O47bbce1jOJ3eXWAL/yfH+S1Z07Qc2acbCqPy2unY1Mddz7QRTBy+eNvWBYn58awLKhxBnioqos6V5DT8Qm8ioOQ6kIWRTYFq/mr8y+jmQYdvgp6UlPM5FM8VrOBk3NjTOdSVNp9vDnTx1Amxk/GTgOgihKVDu/i9mqcfiod/quOQAe7p8imLy+A6Au42LqnlVCZ97Lz3A4ot3sJ2dwcjA4wW0hxLjm52MZf5wziV5y8OHGWamdJzTti91DtLI3ab0TdvGVZTGaTvDjeu5hAERHYEqrmgZpW3Gss3KibJpO5JD2JC2ncCoeHJm8I22XSvsvhRHScWKGUUpYEgVpXgEbvletXk8U8/akYcyvoaGzzRahweJZEm0vHX1hyHhY6/66GvK4RLWSJ5jNkdA3NNJAEAVWU8al2ypxufEopkyIgrMnLNqdrxApZYoUsWb1Ut2RioQgSNknGb3MQsjnx2RyrInGyKLKvopEDU8MMp+NL/HdLzRYGummS0Uq1yVldI60VkAURRboQbdJMg5ReQCwIvDYxUIpEicK89pmfoM1xTc0ikihS4fSQ13VORMdxzvttqqJMyH5thMgu2RelE/LGtQuxZvXsYh2VU3IiL9PZvlqseg2iKBAo99F5RytnD/Tyi3/4IQAKmQLRiThjPRMcfPY4AL6Il1Cln2Je48RrZxk6O4bDZWOsdxJf2LuEPLVvb8bmVEs3hXzzxwUCEnbJj0uuxLQ0DEvDtIoYljYf5bl2WJgki4OkisMcj/4Ns/kTi99FC2fI6FOYZpFGz/sZTD/HufjXyRvRhYWZyR8jpQ0hCjL17vuRl9HIKjnea0zmDtKT+C6T2bcWuyIXYJoaaTNLWhtjInuAgK2NZu/j1Ljuwi6Hbnk32fXCpahsKatiS1nVIsE6PDnOydlJhpLxZYst3wmbXWHbHZd20TS3Xzra7dpUkgm5kL9f+oA/OT1F2OmkzOkiVOblg5/du+rfJAsiD1V18cute5ZMd8s2NNMgb2iltvt8Go9SSo2s81Xw/MQ5gjYnzZ4IL012YxMl/DYnbsVGp6+C3+68H5eilopTL6o/kERxSQfu5TDUO3WV1J+L9VsbVvFLLxzDVWF+IAEGgrB6wqFKMp9pupOfjJ9kNDNHh69ysZs0aHPxmeY9PD9xhvPJSXyqg7vKSqK4XsVBkzuCT1leif1aoZkG/ckYJ6ITi9O8qp0dZbV0+NZeELlg6Lww1sP/+/Bzi9OebFjPf9x836qEIv/XyVd5bWIAEwu7JPNvOnbxHzbefcVl+pJR/u8Tr/DG1OBV1///2fYwH27aiOM6I4O6aTCWSXJ4dpSDMyOcjE0wlU2R0gqokoRPddDsCbG9rIZdkXo2hEqNB7brqOnL6RpD6TmOR8c5Hh3nzNwUU7k0SS2Pbho4ZRW/6qDdF6ErWMGOsjravGGCqyAcncFyNoYqORGdWBINmivkeHVigGg+Q38qimaavD45SEYv4lHs7CyrpdEbpGDoJIp5vIqd8/EZhlNxoERcnbLC/dWtPNHQtap9WoAqimwOVVHn9vO13qOciJU0Kjv9ZXyoacOq1wfgV/yIgohhGUzkJujydi35fiXkz7RMpgpTxLU4UFJeX5Afuh5cEy1TbAp17VVMDswsdoBIioTL56DzjlZ+4fefwOEupVAEAeIzSU6+fp4dD29k1/u38NTfPEdsMr50R66he2QtIYk2Kpy7sEl+NDODZmbRzQxzhR6mckeui1hZmMS1PgbSz5DWxqhw7EIQRFLFYdL6GHkjylj2dQw0xjNvIAlKaR4EEtoAWX2avDHHSPpFIvaNeNXlcsgW49k3OR79K5LaECBgE/24lRpskhdRUDAtnaKRIK1PkDdixApnyc/F0M0sjd5HsUs3r6PveqEZBiOJBNOZDJ2RCD770pvhUoIVpd7rvyH7crkb+GunjrOvrp4HGppXVM+1GlQ6fVQ4vByfG2Umn+J8cop95S3YJYVmTxn/4/RzfLBuE2G7m3gxS5e/ElWUqXeFcMgqz46fJmRzY5dkGtwhKhyrSxlMjsauGFF2e+1U1a8sTW4a05jmNJJUiyCubj8sTDBTWOQRpGvrvGv3VdDuq8A0xjD1MQi7MY0ZZCnCOn8V6/yXdlXVu0PUu1dXeL8SpLQiJ2ITFC4qmK13B9gUrFrza+hWQ5w3f75ZKBo6J2IT/Ev/CV4Y6yH2jghZ0TRIa0XGMgleneynK1DOZ9q2c29lC/5rJM+z+QxvTA7w1NBp3p4eIaNf2smeKOZJFPMMped4fqyHRm+Qx+u7eKSugybPpQrf1S4f+yobqbsozaeKEg/WtKKbJkG7E898RDOlFTgRHWeuUKrNe3ReWuN0bAqHrNDgCdDgCTCRTfH13qNYWPy/Nt9D0ObEwiKlFfjx0Dl+OtpNmz/CnooGat1+HqxtpdK1NArtVWy8r7adFl94SWRPFEQavUF+Z9NdvDTex1whh01avqNwpWhwNnAqcQrDMjiZOMldkbuwSRcGVSspVI8VY/Sn+0lppQanGmcNHvn6szZrxmTsLhv1ndVM9E/zyr+8hTvgwuVz0tBVg6zK+CMeRrsnwTrKWO8kymVqSG4VJEElaGsnaGtfMn0w9RNm86cWOw2uFTk9ymj6Vdp8H6XefT+CIDOafpkz8a+QN2IkioNk9WkUwUmb72NUu/YhItGf+iG9yR+QN6JE86fJGbN4rNpLaqHixV6Ox/6apDaEgETA1kat614ijk245Epk0YZuFsjqk0znjjGSeZm5wnmy+hR9yadwyuXUuO5CEm+uLxTAgdFRhuJxDNNEFAQcikKZy0VnJILXZluWtOR1ndeGh3l9aJD/sPvOS0jVxSgRrLVpdV8LmJbFZDrNmZlpDMskYHewvqx8MSy+ABGBDl/Fsr/fLik8UbuZ16Z7OJ+cwqPYeahqHXZJwSEp7I40siPUgF1SuLuijVZPBFEQaHCHebxmI29HB5nOp5aksyrm04ALyttXQmw2ddkHlyxL+INunO6VXUt68Sh68QA250fBTGKZswioWJhISjOm1o9FEVFuRMCGofcBJqJUhiA4MfRzCIIXpApMM4apDyMIdgSxDMvKYhlTCFIYQVCxzBSWlUYQQ4hSFcJFXUN68RiGdhZRKsPUB1DsD2PoPSCoiGIFljmNZRVLywhOBMGGaYwhCD4E0YNlJkvrFnyIchWmMYllziGIfkSpAlMfwrJyiFItghhatp4xqxfpScwsmVbt8tHuj6zoWL6bELK7uLeqpZQaMnQK839yusb5xAyJ4tr56+mmyfHoBH9z5k3emBqkeJHml12S8akO7JKMZhokinkyepHTc1P8X0dfIFksrCoVuoDJbIqnhk7z9d4jDKfji9MVUcKv2nFICoIgUDB05gpZCqaBiUVfMsr/Pruf4fQcv9yxiw7/0gjllnA1W8KXNrZsDlez+R3T6z0B/sv2KzcrmJbFVDbFiegEv7l+L/dVtyx+Z5gmQ6k5ehKziwbKO8pq2XGREOgCKlxe/mjHQ8tuwybJ7CqvY1d53RX3ZaXo8nXx4syLFIoFzqfPc3juMDuCO+a74K+OhJbgQOwA3eluTEwckoMmV9OtI1WSLFLVXM7W+y6E3ERRpHVrIyDQc3SAVDxDeX0ErFIX4I6HN9F7bIiZsRib716H6lBxuEoP3c6dLTg9jiuqVb/bIQAOOUyb/6OoYimsXu3ax0z+JCOZF9HMFIaVp9q7j0bvI4tRoxr33Uznj5LPRSmYCXL6LCY6EhdeBqalczb+NZLFUoTKq9SzIfgrVDnvXPLgtkngUsoJ2NpwKZWcnvsSiWIfSW2I0cyr+G2t+NSGm3hUSvjumdM819dHUyCATVYwLRPTsrijpoYPd3VR5/NfsowqSXRGwtgkkYBjbVMwNxKWZZHVinz//FlkUSjVOhSLZDWNexqWen1Josi+8ssriVc6fXysYfuy3/32ugcWP3+66ULTh02S2RSsZVPw0odim7ecNm/5in5HJpm7fJG6IuLxr+ycWJaGZc4CFpYZx9APg1XqkjTNGJa1G6N4AgQFQe9FVu9Ey/8IWd2JJboBGcMYQxTziGYDhnYeUx9AlJuQRB+WGUPXjiPorhKpolgibNY5FPsDCNLS3yuIXgQxgGVl0YtHsMwoCHYM81SJ7IleLDODKFchyR0Y2mlARBA8WFYeQVCwrCKS2YJpjIIAIhKGmcQoHsbCQhDOojo/AlxKOrN6kd7khfomVZQod7oJ2K7fFut2Q43Lx2fbtqOZBlldI6sXyeoac4Uc//34ixyZHVuzbQ2l5/hm39ElhMolq2wMVrIxVEm1y4dLVimYOjO5DP3JKAdnRpjIJvnrM29S5VxdbWCymOeHw2f4cvchxrMlmzWfaqcrUEGHv4walw+PUhow5nSN8WySs3NTHJodIa2VjsMzI+cQBIHfXr+PKteNNYNXJQlVlDgfn+Z8fBqnrFIwdEbScQ5MjeBXHVQ6b5/a21pnLV3eLvZH91M0izw1/hQ5M0e7u52IbfkBiGmZZI0sE/kJTiVOcSB6gFgxBkCru5UmV9OSaNe14ppIlazING2oo2nDUtbpcNnZuK+Djfsu1Ynq2t1G1+62Zde34+HlW/nfSxAFhYh9wyKhAlAlHwFbGyOZF4GS2GlAbV2ShnPJldhE/+L/83oM09SQpAukaq7Qw1jmDcBCEuw0eh+hyrXnsjVSsuigwrmTWOEsyeIQFjrTuaMkiwN4lbpb0hHos9v55W3bKHO5iWWzHJ2Y4F9On2Yul+N39+7Da1t6sdtkmZ3VNeysvnLh+e0GCxhLJXm6+yyf2rAJyyr9/+3x0UtI1e2MYkG/rBKNKIqo9pWNGC1jHMtKIwpeDO0cpjmBbNuDZcTAnMIoHkUQfYhSLaYxCPNdrIq9pBVVivzUYJlRLCuJZc4hKRuQ1Y2YRhTQEOVaLH0M04wiKW1IylaKuW9jWZlL98fKoxfeQHV9Dj3/HKrz42AVyKf+HFGuR5RbMbSTWGYCy8oiSqWIlGmMIsqNyOo2tMJL6NopRCmCrO5ElMooZv8VBBVJqsE0hpY/FpZFTteZzKYWp3lVO+UOz01Nk91MCIKAKsmo84XaUCKWXmXtJBAyWpFXxvt4bXJgkVC5FZX313by8aZNrAuUY39Hp9tUNsXLE338/bkD9CWjl6QKrwTDNHlreojvDZxcJFQVTg8fqO/ikdoOOvxll0S+FmQ0nh46zdd7j5Io5snqGi+P99HqDfP5jp03TL5AFARqXD7eX9fBkdkx/vbMARRRQjMNkvMF7Y83rqPZt/bp7muFLMg8UP4AE7kJ+jP9TBWm+N7o92j3tFPtqKZoXkizxrU4B6IHEAWRWDHGcHaY4ewwWaN0Tstt5ewK7qLMtjY1i7ePa+h7HCU5hqUkVBbtS+QZ7FIAp7x05KyILqSLCnA1K3NJAfpI5iV0s5QzV0UP9Z4Hr1p0bpN8+NRGbJKPvBElZ8yS1IbRrRyKcPPVulVJoiMcoTFQIpR31tWBAF8/fpw7aut4pK1EyBP5PC8N9DMwFweg0uPh7oYGKj2XjqJMy6IvGuX41CRT6QySKNIY8LOrphbfZdKKNxqWZTGbzWIseFwKsKGsnDrvjR2JrjV0zSiZIS4DQRBQlJU9WgztHKIYQlQ2oRf2Y5k5QAZBBgREuR5T78fEhqSso9QMUBqYWJaOaUxh6uewzByW3AqoGNoZwAArj66dKn1e3Dn7fEH78udeUtYjyE0YxWOIci168QCgIEq1gIwgyAhIWGYCQzuOZWZAUOZ/twqCDRARxQCWmUIvHkaSGxDECKZ2CpMpRLmd5XwaLSxyRnFJasohKwRs755I7O2IofQc+6cGmc1fINF7yhv5XNt22v1lyxLWcqeHjzZtQhJE/suhn5A3Vl7+MZFN8txo92JHpVNWeLJhPZ9p206Z3b3sc0cUBNp9Eco7dpEsFvha7xEAYoUsL473cm9VCy3LCHCuFUJ2F59q3UpnoJzRdJy8oSOLIkGbk3Z/hBZfCKd8e0mj1Dvr+UDVB/j+2PcZzA6SMTIciR/haPwoknDh/popzPCjiR9RNIto1lKtwIgtwj1l99Dl61qTKBX8nFTdRIiXWOQISEvMmWXRhSotDTOLQulBPm+Shmld8CaD0oN4OndkvgNKwCVXXkLMloOAgE3yY5P8852GFll9Gs1Io4i33gLFpap8csNGvnXyJD/uPr9IqgBMC+L5HCenphAFgbZQ6BJSZQFHxsf59qlTRHNZnIpC0TB4aaCf7tkov7h58y0hVoIgEHI48ag27q1vosLjwTTNNdNvuVm4XOoPSh1DKz2uolyPIHoRpUoQHFhmEkluwDLLEcUyRKUFQ/QhYEcQKxBEH7JtwWVBQBBsiFITSCCIPiSlHVMfAGQEqRxZULGswnztlIQoRkBQkdU7EMSl96OkdAAKohhALx5BUjoxtLMIoh1Jfj+WlUGUKkC1sRAxK9VQ2QERQQwiCA5kZROC4ME0p8HKAhKSumF+H4T5lOOlUQfDshbb3hegiBL2q9Tz/Gj4DKdjU8sa5S7AJsl8tm07Ifutv7dvJkzLojs+zcm5ycVp5Q4PD9e00+wNXTECKAoC76tt56mhU7w+Obii7VmWxbHoOEdmxxaV8DcGK3m4pv2yhGoBgiDgVe18pGkjPxo+S7yYw7QshtNx3p4ZvqGkShQEIg4XD9cun026XbHRtxEBgddnX+dU4hQ5syTrcXENtG7p6O8gxYqgUO+qZ3doN1v9W/Eqayf98nNSdZMgICxJ/S1MuzjVJgnKkqjUhfkuzGNZSy0ANCNNRpuYnyaQM2Y4NPOnK9qnjDZ5QboB0IwUunX93kdrhXK3mxqfj7Ozs5jzkR2vzcYjbW1sq6rimydPcHBs+bqLqXSK7509Qzyf44MdnbSFQ+R1gx+cO8f3z55lfXk5e+vqUKQb61z/bF8PZ6ankUSR1mCIR1vbqfZ62VdXzz+fOIrXZsOpKOyoqqErsvYt87c7SkSmBFm9qAxAAigVzIq2fZSk6gUQBER1CwCCICFIlSVCdvE6pfl6MUFYstzFkNXNl+6LfEFKQ7HfDViIUoTSvXVRN9PC9iyr9N070jILv0mkeul+2+647P5AiQBk9aUjaVkQr1ok/fJ4Hz8YOj1vD7I8XLLKEw3rf+ZIVUYrMpCaYzZ3IUrVFSynzR+5rP3SxXBICo/WrVsxqcroRc7Gpxi9qDB9d3kD9Z7L6wteDEkQqXJ6afNHeHt6GIC5QpbTsanFZ+DPcQGCILDBt4GwLcw67zrOp84zmhtltjBL3lza6CAi4lW8VDuqaXG30OHpoM5Zh1Ne23rFn5OqmwYBUbhy+FRAQhRW95IvGHGMRcNpi4w+QU/iO9e0h4ZVnI943T4IOZ1MpdMUdR27UuqWscsyPrsNp3r543l6eoZT09N8sKOT+5ubl3TWvdjfx/6RYXZUV99QUvWRjq55P8LSg7DS7Uag1I34ia6NnJ6ZwjBNbLJM8AYU25umSTSWIRK+fQpMrxmrqSdZogZ5PXUowjv+XW47V3nJvXP7V9mf5V6aN9ib9j2NWCHLWCaBedFAtMUbpmKFRdeiILA1XDOfJ7g6pnNphtJxtPkolUNSqHP7FyUOVgJZFKlxeXl7/v8FQ2cql6Jg6Guqcv5egSAIVNorKbeV0+HtIFqIktSTZPQMBaOAgYEqqjgkBx7ZQ0ANELFFcEmuG5Kp+DmpukkQKDHlq8+3upOsmWnWyrzSwlyxEeXNgmYYJT2bVWr0jCWTzGQy/Kj7PMcmLwgpZjWNWC7HWDJ1xZH9WmB71fJ+fgJQ4XZT4V65uOLFmJpNcuj4EIZhUlXuZ11bJc5lrGA0zeDVAz18+NGt17Sdd8I0TXKZIulEjnxee49a1M4XjGeKjAxMMzYwS3Q6SSKWIZvJoxWNkg2KLGKzq3h8DoJhD2XVfmoaI4QrfKjXqLknCsIlL03dMpfUWC0HmyTjklX0i+YzLGtVdUDvVSSKeabzF8zMJUGg3OFeVSF82O7CpzqW+DBeDlO5FJPzxekAumXwtd4jvDjeu+LtaYbBmfgFuzQLyBslFfSfk6rlIQgCkiBRYa+gwl4xb9VmoFs6pmUiiRKyIC+ptbpR+DmpuqlYe1Z8cfpQQKTMsYVGzyPXtC6nXIFTvn30cCzLYjSZpMzlQlklqSoYOgICIafzknqr5mCQ1lBoicP6SpGMZ3n92ZMceq171csuB1ESaFlXzSd+9d4VL5PJFCgUdOprglSV+xkcjRKNpZlLZGlvKqeq0s8rb3Zjs8mMT8VXtE5dM8ik8yTjWVLxLMm5+X8TFz6nklny2SLFgs7owMxl66ryuSJvPHeK0YGZZb9fKVSbzK//4eN4AzcnZaVrBmePD3Nsfy89p8dJxNKk4lly2SKFXBFNMzCN0sBDEEVkWUS1KdidKi6PHa/fSVVdiM7NdWze3UKkwocorfy6FQUB5ztJlWlQvAo5+nTLNh6sbltSa9mXjPHnp14jrd0+6fxbgQUysgCHrOBWbCsWUhUEAVkQCdhWRqrSWnHR2B1AM00OzYxeYYmVQTdNcsalhuw/x/IonTcZ+RZQnPcsqZqeSuDxOEgksgSCLmwXiY3OzWXw+1dmTny7QxHdXJymsEsh6j3LC7BdDQIiwjJdSbcKJ6ammM1kuL+padXnyq2qKJLInrp63tfackkE0CZL2OTVX/7Fgkb/uQn2v3Bm1csuB0kWMfTVR8yic2nyeQ1ZEhmbTGBTZVoby3nryABV5T78PiehgItT58Yvu47x4SivPnOCwfOTpFM5CnmNYkFHK+poBZ1isfR5cVrRWFEk09BNxoeijA9FrzrvleBwqvzy713bAGE10HWDY/v7ePlHx+g/N8HsZIJU4sovUMswKRomxYJOOpljdjIBwPkTIxx5s5cXnz7G1j2t3PPoJiKV/hVp8IkIOCRlsZ0dShYnV3uZdwTK6Agsrcfz28ZQ32MK7NeComlQuIiUlpS85VUNbwWhVJO2EuQNjfwNID8mpZq7tYBlWaS1It/uOcmxmQlkQaDJF+LjbRvojUfpS8T4xc4tq15vRivyd6cO8std269qXL+AuXyOuUKOSpfnPROFe8+SqvGxOUQpQTKRo6Y2yMxMimDQhaLKvPbKOe65txPDsBgdjVFZ4aOo6WTSBaqqA1RU+m/17q8YdimINF+rZWGS0ScW//9uxlgyyZ/tfxOnqvJk57pVL98aDFHmdtMbi6KbzVR5lqba3u2pq/Kwl6b6CDWVfsamEoRDbprqwzz3aons3XVHK6GA+4ovj9hMirdfPkfPqTF0w3j3H5RrwNjQLE995U2OvtXH1GiMYuH6UmbFgs7MRJzZqQRDvVMc29/LI5/YxfZ97TicV6mpnE//VTq9DKfngFLkYzp3qZ7W7YYrdR7eSpTSQBcubBGBa9GYVlcY1dZNa0lZgVNWaPNFrlsWo9UXwSGtDenQTZN/PnuEoWScX2jfhCJKWFjYZJnpXIa+ROya1muTZB5paMe+isHqYHKOk9FJHmvs+Dmput1RKOqcPT2Gx+PA63OgFXXOnRnnzr1tqKqMz+fkxz88hs/vJBHP4vU6qKkLEgi+u7pjJMGOX20hl4sBJmltnKw+c1ul8VaCvK7zxvAQJ6Ym6Y3FeHVwkPFkkv+47y7aQiXROcuyKBoGc/k8U+k0s5kMOV1nNJkk4nLhsdlwqyqyKNJVVsa9DY18/+xZcprGnbV1uFSV2WyWw+Pj/Jvt22gNht61fmpjk3FmYimic2Xk8hqSJC5GQzZ0VvPTl89QVuZFuUJ9j2mYFPIaun57NSfcLBx46Sz/+k+v0XtmnFxmbdNklmmRiGU4eXCAsaEog91TPPHp3XiuEiF3yApNnuAiqcobGjP5NBmtiEu5fQdLOV1fkn68XSCL4hKPOd000a8gB3I5rLT+UhWlJQTMrzr4dOtWdpZdnz2LKsoE10CvzLIsovksT/Wd5c/veYw2fxhBEDAsc/E3ds/N8idvv8h0NsPWsmqeaOokYHfw5sQwY+kkk5kUA8kYrf4wTzavo8Ll4dDUKD8Z6mEgEeNP9z1CwF7aV800eG1skB/0ncWwLMqcLj7ftY2w3cWRmTG+fOYoQ6k5Dk2N0R4I83B9GymtwJHpcfoTMRq8AeKFPGmtwC+t20aDN8CPB8/zwkgfRcPAraj87tZ9BO0ONNPg1bFBnu4/h2GZVLo8fG7dNqrdayeXsBK8Z0lVJl2gqaWcibE5+nqmcLls5AsaNrtCsaATj2fw+ByYpkV5hY9spoDP51ySJnw3QBAEKpy7mModwsREMzMMp56nI/DJW71rq0Isl+PP9+/Hrij4bHbaw2F+f99dbKqoWOzQy+s6z/b28v+8tR/dNEkWCuR1nf/66ivYZYUtVZV8futW1peVY1cUPrFhA2Gnk2d7e/nLtw9gWBZe1UZLKIRTUd+16d+aygAf/cA2LMvCZlNK/6oysiTyqQ/txO2yU13hnxfgvP1edLcahmHyk+8c5Omv7md0YAbDuHFRFsMwmZmI84OvvEFsJslnf/shfIHLdx05ZZUmb4iXJ/qA0tmbyCbpS0bZGLp9/CvfidRtWruliNISSYqcoS1JB64ElrXy32eX5SURpYKp41Hs1Lj8q9rmjcRQKo5bVWnzhxcHlaIgoZsmeV1Dt0werGslr+u8PTXK0Zlx7qttJlnI8/r4IHdXN/JYYzt2WSE4T546g2W4FJXfffXHi/pcAAVd5197T/Ox1vXUefxYQMjuRJUkNoQquK+2mYNTo3y6YzMVLg8+1c7BqVHm8jnWBcs4NDXG3TWNvDk+zFQ2Ta3bx/pQOR2BMkQBvnH+BC+M9vHRlvVkdI2n+s/ykZb11HpKYsoL+3cljOXG6E51k9bT7AzupNy+Mquuy+E9S6p239mKKApo86NwYb4p1m5X+MATW3E4VUIhD4Zpoqoy5vy/70Y0et7HufjXyBmzGFaB3uT3qHDtxK82X33h2wD/ce8+vrDrjpIvGgKyKGKXZTw2G9JFLx+bLHN/UxNbq5Z/udgledFYWQD8djuPtbdzT2MjRaNUDySJIjZZLhk1X8O+KopMWVWAmsYIqUSWTCpfUhe/iVBVmXBw+c7BUMCNZVmUhT2UxDFv6q7d9jBNk2e+/Tbf++fXmRiJXVHEdC2RSeV56elj6LrJr/7+o7g89mWJlVexsTlUhYCwGPkZTcc5Ozd500hVSX1r5cclrRWIFbK3JX13yeqi/Q1A3tCZK2bJ69ol1jTLwQJMLKZz6avOC6XIVPAin8a5fI7ZfAbNNFDE26NetWgYqJK8bJReFiXqPT62llURzWU5E5smmrtg0VPj9tERiNDgDSxZzqWolDvdl6xTFiU2hir4h9OHeLxpHQ/UNmOXZARBwKPaFoWQq91ewo4LWSK/zUGrP8RQKk6F043PZqOg6xiWRX8ixk8GewDojs9inx9020SJjmCEfzxzmMebOrmvpumqwrkAQ5khXpx+kdnCLA2uhp+TqsthoX7BRunGWSiwFQQBj7f04pVlcXHauxk2KUCH/5Mcjf4FYJHSRjkw9SdsCf8mZY4rt9MXjDiTuUPIgo2IfdMliu43A0Gnk+DVZ0MUBDw2Gx7byoogBUHAoSg4lLWLPnr8Th7/1G4e/sh2LNPCMExy2WKpO26+Wy4Vz17ooktk6T4xyvR4/KbJVaz0enZ7HXRsqrum7rre02Okk8sXUEuSSKjcR1X99XmF2ezKmg90XnzqGD/4yptMDMeuej4cLpW29TV0bq6nvq0cr8+J02NHEgXSyTyJuQyjAzOcOTJE75mxqxa3F/Iar/zoGKGIh1/49ftQl4mKK6JEkzdEp79ssa1+Ipvi7ZkR7q1uocyxtppjkihge0etjraCjsOL0ZOYXdX8NxNBu/MSM+SxTIJYIUfVSmp4LIvRTJyMXrz6vEC1y0et28/+6ZK/o4nF+fg0s/kMlas0Zb5RqHJ7GEsnyenaJXVMsijiVFQUUSpJ2QhgXESXnbKCTZZX/IyxSRKf7tzM3up6fjzYzX9686f83rZ9NPmu/MRXRHHxjyiIiIKAicVEJsmXzhzm32/eQ5MvwJfPHsWYT1s6ZIXPdG5lX1UDPx48z4sjfXxx614ar7KtvJkno2fIm3kM6/oHyO9ZUvVOXHwRvPOCsBaUkUv/u+hvlnnwWpgXHXjhor8X/3cLrE9afR8hVjjLUPoFLAyihbO8OvH7hOxdVDi241aqkAQ7hlWgYMyR0kaZK3STKPZTNFO0+j5C0Lb6gvCfNYiigN2pYp8n7QvXh1UXxLJK/y/9Aeb//fv/8WOe/c4htOLlXzwXX2cXXz8XDwauhCvNd/F3F39uaC3n3/7+o9cUrfkvv/olTh8ZxFxmWZtDYe9DXfzibz646vUugVAiVmsBy7I4eWiAH33zLcYGZy4vqClAIOThkU/s4qEnt+H1OxHlUr2aICxE/uaPo2VhzhPrmYkEL/3wGC/84AjT4/HL7odWNPjul16nbUMNd9zXeYn+miAIlDnc3FXZtEiqTCwOTA/z4lgvH2vevKaq2oog4XrHi3WukGU2n6XWHbjMUhdgWRYvjvVQuIqW1q1C0OakxuVHFsTFtNSZuSlGMnEqnZ6r3leGZfHKeP+KtxdxuGjyBnFKCtn5LsBXJ/p5qKadCsfVt3czUOXysi4Y4c+PvsFvbr4TRZQWvf7gylqJ83all8C0rMXuxIXPC4KpGa1IWyCMW7Hx9fPHOD83u0iqlHlJoFSxQNDuuLBtYfGvJUhrRSxLIOxwYpNkDk+NsTFcsbjdnKbREYjgUlS+3X2S7nj0qqSqaBbXhEwt4GeGVF0JBTPB6bkvUTTiaGaGoplBNzNoZoaCkUC3sovzHYv+BWfiX0URXSii86J/3XT4Polbqbklv0ESbOyI/D6y6GIg9QympVE0E0xk9zOZfWt+rgu6wNYSErlSveC1gVbU0TVjyQtelERkRVp8eb1bsLCvV9pnSb5yMbxuFZnOnyepTVDt3IRN8i6S9YJRSjvYJDcXzhVLPltYjGQOUelYjyq6sDAREDAxEBAxLYOsEcMjl1E0s2T1GH61FkQLxVaSpS2lXudlNVagQn4liQBBEJBkaZF43mpYlsXsZIKnv7qf7pOjlyVUkiyy8+4OfvOPPliqe7ritViaLgEKUNMY5tO/cT+771/H1/7yBQ6/3n3ZtLBW1PmrP3mKjo11BMsujTyFbE7ur27lp6Pd9KdKshTj2SRf7z1K2O7inqpmJEFck/tEFIT5lJWDWKEUaetPxjgfn2ZTqOqKBM6yLEYzCX44fHbVdUo3C7Ig0u4P0+aPcGauRFJPxiY4OD1Mh78Mr3Jl/8+Uludf+o+veHsiAjsidWwJV/PG1CAAg+k5/nXgBBVODw2e4IpJsWVZmJQGZvIaNdQIgoBdkvnDnffxp0de49Ef/DNORWFzuJI/2HlvqbB/Pp0mCAKKKC1qBMqiiCJKyx6vvz7xFkdnJpjMpPlPbzzLhlAF/37zbnKGzh+99QKT2RQ2SWZ9qII7Ky8U7bcGwhydGef3Xn+GLZEqPtK6AWkhQiUKqJKEJAqoooQsiDT7Q2yMVPAHbz6HKkqsD5cvdhumtSL/5a3nmMqmsUsKGyMV7K64eoNA0Swu8Qq8XvycVFFSJe9NfBfjqr53FkUzRdFMLfttnet+3Eo1N0Lk82oQBAFV8rA98rtE7Js4H/8maW0MAw3LWujMWSggFBGREAQZUZDxKDUEbO3I4tpbpSyHb/31izz1pdcpFjRkVcbjc9DYWclDH93Jhp3NON033+j4VkIWVJxygLQ+g25pDCdfQhHtuOQQscIgAiIBWz0ZfRZVdCILNrJ6DFVyIQoyGT1KsjiBZuZpdO9mJHsUtxxmttBL2NZC0cwwnD5Ip/99GGaRpDaFXfIxnT+PaWmIgkLOSKCKTiL2VjzKe8uD0NBNXnzqKCcPDiwbWQOQFYknP7uXT3/hfhR15emNBQiCgCAJtHZV8+t/+AH+8X/+hDefP41WXJ5YRaeS/OuXXuWXf/eRSwiqIAi0+yN8unUr/+3Yi4uK6qfmJvnTEy8TL+a5t6oZt2JDFkVEhMUopEmppT9v6CuytxEEgZDdRZuvjLfmU1aTuRQvjPfSFayg0192CYGzLAvdMonmM/zJkecZv0hB/HaDIAi0+8rYGq7hfHwaY15i4Zt9x6hx+3mwug2HrFxCdAzTJGto/M8TrzA034m50u2tD1awt7KRU3OTJIol/7nvD55GEkR+pWMXtW4/qiQtnrcFLJw/wzTRTIOMrtGbmCVv6NxX3bI2B2R+H2s9Pv787scu+e6xxg4eayx5V0YcLj7ftX3xuwfqLr8Pv7Fp97LT3aLKX933xGWXq3R5+K0te/itLXuWTF8gXpvCpTrCbWUX3Cm+uHXvsuvy2ez89X0fvOy2LgfN1N4dkSrNNEhrBQpmiQHaJQW3rCLPF+sVDR1REJGEa49MiIKETfLjkivmtxFA5EIoO29opLQCumnMj8RFBAEidveSC1pEwiVXrIBUlYoyEQScknqJ3sk79aGEi9aril5E4dLDLQn2i/Y/uOw8NsmHS64ETFTJs8Rg+dL1qTR6H6HWfQ8T2UNMZY+Q1PopGHPoVh4ReX59FfhtLUTsG/HbWlDEmysl4fY5uPsDu6lujDA9NsehV87xp1/8Jh/5t/fwgV/c8zNFrCwsTEvHtHQ0M4tNcuGVK8gZSYJqQynyJAg4pQAhWxMTuVMEbHVECwOktWmaPXehGRmyepSimSVVnCBZHKPT9z4kUaVoZEmpk3iUCtLaDLpVIG8ksDBxymFGs0cpt7cjizZy+tx7ilRZlkX3qVEOvd5NYm55vSdRErn7kU184lfvWbbOabUoqwrwwc/sZWYywdljw5dNrz77nUM8/qk7Ka++NM3mVmzcVdnEsegYz4ycXxQD7U7M8n8eepYfhKt5sKaN9cEKQjYXsihSNA2i+QzdiRn2Tw5dYs58OVS5vOypaODQzMhiiuylsV4Khs7n2rbTGShHFaX56KdFXtc5Gh3jn86/zanYJIIg4JZV0iusO1qAZVnz134pdVP6XDKVfqfuVcE0Fn9PqdZHQGDh3ytHisudHu6taubY7Bin5yaxKEX+/vuxFxnLJHiwpo2A6kASShFb3TQZTs/xT90H+elId6mDUJRW/PsUUeKJ+vUMp+N8f+AUOUPDwuI7Ayc4PDvKEw1d7ClvpNzpQRZEBFgkU1O5NL3JWQ7PjnJoeoSZfIaPNG1cU1J1O2PBXkazNAQEFFFBFMRLUpK6uXaRpYJZuP0jVZZlcXpugu8Pn2AoE8O0THaGG3iyfhNVzlKr46HoMJUOH7UuP/I1+vG4lSq2R77I9sgXl/3+1Nw43xo4wlAmxnA6RqMnjCpK/Pmuj+K7yPvJpVTyWP23V7TNf+zZj4TAQ7VbcMlXLpgWBS97K76MT12eIAiCSLVrD9WuH1xxPVvCX2BL+AtLpqWLBTK6BhY4FAXPRRIBAgKS4CSo3oFN2Eq569IUQ9EoEU31MuHcGw2bXWHjHS1s2dMKwOOf2cP//pOn+M7fvkRTZxXb9rUhyRKmaRKbSiLKIh6fk0QsQz5bIr8Otx1/0IUkl64f6//P3n+HWXad553ob+eTc+Vc1dU55wbQyAAJkCBFSqRIKlBUsiXLY40tX4fxjP3Ivvc6PLY1czVjW1ZOJCVmggRJEACR0TnH6so5nBx3vn+c6uqqrqruru6qRkPk208/dc7Z+6y99j57r/WtL7yv66KXTfLZEnrZAAQ8XoVg1I+q3fA+VLXddIq5CoZu4tgOkizhC3oIRf2IooDjuJQKFYq5Mv6gh2y6hOZR8Ac9lIs65ZKOP+glGPbOHf9u4bgWJStNxcnjuCYeMYQkKCiiFxcH3S6iCf45z5RPjpI1xpBFjbDaxIzeiwv45RomyhcQBJGo2kJ/4R1qvBvwSVFsLArmFEUrSdlOYzhlXNelZCUJKw1ooh9BkG5psH8QYRoWJ966St/l8WX36dxQz8//w6fx+u9c9PZ22LijhUc/vI3JkRTJqaU925WSwctfP8HP/9bTS27vCMb45Q0HKJgG704OzsmUlG2TtycH5sJL8mwir+nMTym+c0RULw/VtfPGeB8nZkaqOTG4vDXRz9GpIZr9YZr8YWRBJG/p9OVSpPUyLi6yIPJEYxfrQgn+5+X3MO+Az8lyHNJ6iZReomSZFE2DgmVQtAyKpk7aKDNczCz4zjsT/VRsk7DqwS+rBBQVv6zhV1T8skpY9VDjXV5L80BtGx9v38pUpcB0uYALTJYL/Oezr/MnV47RFowSU71UHIuRQpbhYgbHrY6PjzZ0si6c4L9ffPeOr2m9L8jnu/dSNk1+ONZD0dRxgf58it879ya/d+5NIqqHkOpBFETKlkHGqCwKo96Kyd0wLTKzMkoPMgRRIBrxEwzeXm+xZJe4mr9KX7EPVVTZHNpMi68FVVx4HS7nL6M7q0PjMV4Zf/A9VabrcGRmgBpPgH+2/RkkQaRim3gkGdOxSelFXhq5wK54C6ZjE9f8RDUfAjBdKZAzKwiCgCbKNPhCSIKIbltkjDICULQMJFEkpvoI3EL9e2+ijb2JNnpz0/yn86/wb3Y9T723WoHhui7jpRyqJJE3KrhAVPMSUX3YrkPOqJAxqgNHUPEQVX2L4toZvUTZNolqPjRJWRT0u5ZJcnxyjF/ctLNKXOnYpCtlBAQiHg+O65IzdEQEfIqC47rkDR1JEAmoatUFPVuhEVDUBeWqb40NcmJyFK+sUOPz86nubeSMCo7r4ldUVElirJDHch1iXh8Fw8Bw7Llj9WSS5A2drfE6Aoo6xwX1fiEQ9vGzv/Ek54/28f2/OcK2/Z14ZQm9bPLff/eb+IIenvrEHl760hEGroxjWzY7H+rm53/7Q4RjflzXJZ8tcfSVS7z50hkmZqu7GlrjPPMz+9h9eD1evzYXJnn926c58uolZsbTlIs6qqawYWcrP/ubT9HQGsfUTd79/nm+/Rdv89gLO3nl6yeobYpy4KnNXDs/yrkjfex8aB0/9YXDNLYn7uncJUGhwbeVBt/WRduu577NX6nVeLpJeNbNfT5/n4Wl8FXvrIvL5sjzCAiE1UYafduWbfvvGgZ6Jrl0eohSYekBWFEkXvjcIaLxwKovLvY/tpG3X75AarqwZKWhbTu88dJZPvWrjy2ZkC8IAtti9fyT7Y/zx1eO8sZ4L2m9vIAHCKqiy7eypnyyQr0veEv9zC2xen514wHKF26EnKAq89KXT9GXX8yyHVQ0tsca+Bc7n6InO414h/dRslLkDy69x59ePXbHRuBr4728NsvddTN8ssKnO3fwf+xZXp7LJyv8TMc2DMfib3rPMFbKzhmAqVkD72YEFY09iWb+7d4Pc2x6+A57egPrIzX8zo7HqfH6eXn0KuOl/AKjKWNUyMyGB5eCJAiEVQ8Rdem0jLGxDH/4J2/w9js9K+7b/YTfp/L3fvUJXvjoztvueyZ7hq+PfJ0ZY6b6PnOGz7V+js5A54L9/mLwL5jSp9aiu/eMNTGqBCAga0xW8gwX0jT4QgRkDVEQSOslXhm/ysnUCJPlPKeSIxyq7eCphg2oosQr41c4mRyuqtCJIr+x8TAt/ihjpQxf7j+JV1ZJ6kXCqpdnGjawPdZ02/4sBct1+MOrbxP3BJgq5xEEeKy+m8fq1jFdKfCD0Uv05KYxHJu2QJTnm7fQHrhRIp7WS/xoooesUeFjrdto9t+6UsYFkuUS3+67jG5bPNbcgSgIvDLUR2swzLpInJRe4vjEKD5FZVuijkylQl82RXMwxOGmdmp9C1diO2oa2BBN8Lc950nrZf7q0hnq/QE2x2ppC0U4MjFMUyBE3OvjR8N9FEyjWrIdjtGXTdGXrRoeW+J1xL2+pTt+H9HcWUtjW4LLp4YWJLLbtkPfxVGMikHHpiYe/+hO8tkSgigQCFcHHEO3ePt75/jel47QtaWRpz6xB8u0eeuls/z1/+9lVE1h9+H1s8nwIlNjado31PP4R3fiD3m4cmaIF//qXTSvwm/8608AVaNjejzD9FiaJz6+mzdePM13/vId9j2+iYNPb+b0Oz1cPt12z0bVrbCcwTP/8+Ve36hNvX0b7wfKhknZMFEkCZ+m3Jbd3nVdyoaJT7uzBHjHdug5P8Jgz+Sy+3RsbGDHwS5UbfWHwobWOOu3NtF7aWxZo25mMse1C6Ns2dO+5HZBENgUreWf73yCvTVNvDR8hcF8mpxRoWSbmLaNgzsrvyKgiCKqVCWg9CsqIUVjS7Seww2d1N2CjkEVJR5v7CKsevjitVOcS42TMSqULAPTsXHc6iSvShIBRSOm+Xi8oYvPr99LrTdQ7cOdJmBTrapbrdIY1+WOPGRhzcsvdu+l1R/h6wPnuZabIaOXqdgWluPMXj+JgKIS9/h5oqGLX998iKCi0RaM3VU5T6M/xG9ve5SDdW18e/AilzNTZPQyBUvHsG0sx8GdvXayIOKRFLyyQlDVqPMGebi+naeb1t/VdfkgImNkyJrZufcj5RFy1oObs7cU1sSoUkSJgzXtvDhyni/1n2BzpJ6dsWZa/VGimo/Pde7lbGqU55o3c6imA3WWoMt1XfYmWtkWbUK3Tb49co5jM4O0zBosBUunxhvkNzceRrqDCqXbwXZdJso5/tWOD6EIEs5sAublzASnUiN8tmMPObPCe9MDHJ8ZmjOqskaF741ewnRsXmjdNte/W+F6ddWe2kYGchkuJqfoisSJaB4+2b2F6XKR8WKelmCEuMfLdKlIztDpjsYZL+ZJVcqLjKqedJLRQo7HmjsAyBk6v7O3msRn2DZbE3X0Z9OYdjUs8EhjO+lKmdFijvZQlITXxyNN7ataon2vqG2Kcu5o3wL6AdtymJnI8qm//ySPLbPaGR+c4cQbV2hbX89n/8HT1DRWf5P65jj/4999k1NvX2Xd1iZitVVP5ef/yXMLvr/tQBeXzwxx8fjAAq9CKOZn/5NbaGiLM3RtkmyywBMf300+W+La+RHymRKu6/7Y5H+tJgan04ymc2iKTFddHFUSkUQRWRKpmBZeVcF1q8aX36MiABdGptjT0US+omNYNpoioZs2AuD3qHjVGx6fXLZM3+UJUtNLh98ADj6xiUDIu2a/37otzQR/cGFZo8oybU4f6V3WqLqOuMfPz3bt4pmmDZxNjXEuNcFQIU1aL2M6dpUwV1LmwmBNvhBd4QTdoQTB21S4XYciSuyvbWVztI4L6QlOzYwxmK+G+gzHxicrRDUf6yM1HKxtpT0YmyO0bPSFeKiunYptoUoS9b4QV7KTNPkii6IJqiTRHozSHY7jui513tvzN+mOxbXcFOtDdYtINDVJpj0YJWdU8MnKXN7uUvArKh9p28z+2lZOJ8c4nRxlrJgjZ+pookRE87I+XMPD9e10huLVPCvXpckX4rGGLkzHJqhoNAfCt+3zdXhlhSca1/FQXTvXcjOcT03Qk50mWSlRMHVM10GTZAKKSoM3REsgwqZIHd3hxN8ZPbw7RVyNU+upZaoyhSAINHubCcq35mYLyaF7en7LdhnDWb0Q6polqneFavi19Q9zMTPB90cv0puf4VPtu+gMLr+qL9kG3x4+h+NW+Ssmy3nKwRvJlhHVx/pQzaox08qCyOZoA6pYvQySIFA2dcbLOQYKSX4wdgmo6i41eG88RFeyk0iCyMdbt9NwmwFhulSkJ5PEKyu8Nz7MVKlAwuvDoUpwdl3NO6x6sByH45OjPN3aRb0/SME0KJkmm2K11PkW5wvsqG3gUEMLHklmulwkOssmfj2MOF4skNbL5Ax99lgqOaNSlTWRJKZKJmOFHDVeP9oKRDDXElVKBRZJh/hDXvY/sWnZ702Nphntn6FjYz29F8fovTQGQCFTwrZsRgemKRUqc0ZVqVBhajRDPlPE0C30ijkbQiwvSCxWNYVwvCrE7Qt4sAyLUMyHXjERJRH7PunmTY6ksG2HRH34rpKpbdshM5Mnny3Rvv7BkDvJlCr4NZWSYTKSzJAtVRAQiId8jCazdDfUYDkOPePT7GhrJKCpDCczbGup4+zgOKIoYlgWhYpBxO8lHvSxuelGkv3Y4AyjAzPLHl/VZDbuaMHjXbuJq6WrFl9g+RQFe9abdqeIeXw83riOxxvXLnE5oGgcqG3jQG3bHX9Hk2T+52Ofnns/XSnw7858l19b/whbo40L9o1pPn6uezfd0RiO63C4rvu27Y+VMvzz41/n9w58kpi2uKgmrZd4a+oaB2s6ltx+M2q8AZ5pXs8zzbf3AgmCQMzj448f/9nb7nsraJLMlmg9W6L199TO32VsDm3GdE168j1IgsS2yDYavY3L7i8h8Wz9s0h3mZcNcDJ9kmuFa6umXbkmM+l1cUZVlNmbaCWgaHy5/wRTlfycUSUJwmxV3g2MlbK8PnGNv3n8VyhaBr9/6UcL2hUR7jqpfUkILDLQJEEkqHjYEmnktzc/iV/R5hhbr6PWG8Qvq1zMTtAWiNERjC/pOQupHjRJ4tzMJO2hCM3BELbjEFQ1wqqHqMdLs12dlKtuaJPOcJSMXibu9dEZjjFVKlTLpm+yxOv9QbySjCxWy501SWZ9tHptXdelYOrkDR1VlClbFs2B8JxWk+26NAVCpCplBnNVHagHwahyXZdMsoDmVfHMyzERBPD41FsmElfKBqVChYsnBpgYXpj/oXoUGlric+LC2VSRN797hvPH+rAtG8cB27IZ6Z2u5lzN+64oCsiKXCW9E6qVYpIkzbFmzHJ8rrkczLEfXaJc1HnqE3uJ1a7cCDANiwvH+rl4coC//3/81Op38C7guC6pQomNjTXkK9WV4mQuT8CrYjnVUJ8siVi2Q8kwCHs10sUymVKFdLHMhsYajvYOkwj6aa+J0D+VgnlG1cRwivHh5LLHb2iJkagP33Ohwa1Q3xTF410+XOnYDiP9M1imjaw8GDIma42SZTBcTM96gCILtmWNMkPFFAVTp2DpBGWNrdFqiocLXMpMzBGwbo824ZNVsmaZI9P9vDh8bq7NZn+UhGf5xPWf4MFEUAnySOIRHkksTZtwM7yyl4OxnUTVBgpWkpBSs+R+tmNiY6EuQRuUNtL0F/tXrQJwTWbSim1xOTPBeDmHKkqMl7PUaAFqtBtuvM5QgkvZSWzXZV2ohjZ/DE1SiGt+3pnqo2SZJPUSXaurynBbaJJMRyDO6dQwL41cIKb58coqncH4XJJ7eyDG040b+e7IBV6f6MEvq9R7F7sgW4Jh/uGuG/wdruuyv655Qe7IdQ2lrK4jixIHG1qYKBUQBYFHmtrmmGlvbntnzUJvQ1jz8JGODQBIokhbKEpbaHFYMubx0hWphjEbZ9W7H5TwX3o6z2j/NO0bGpCUG1WJgiAgSbcO98qyhOZR2HFoHU//9N5F18sX0IgkqjfT8R9d4ou//0MOP7edhz60ldqmKKIo8kf//kWunFmckPpgXJ3lMdo/xdhAEtt2kBWJLfs68HhVXNdlYjjF4JVxREkkOVXNVaiUDSaHU0iySHNnLY7tMHRtEtd1aVvfcEtiz9VEfThAR22MhkiQy6NThHwefJpKPOjHp6o4rkvAo9JVn8CyHSqmRSLox7Rt2hJRSrrJ5qY6PKqMX1OpC98YLGzLZnoiQ/oWob/6lviqMbYvB59fmzPml0OpUCGXKRKreTBkTNYaZdukNz/NS6MX2BFtojN4YyI8Mj3Apew4siDyxuQ1uoI1tARicwVKR2cGkEWJwUKSoqXzZMMG8kaFy7lJhotpLmYnyJkVAoq2rFFVsgzOpkYZL986V6fWE+BQbQfiKqSa3Cksx+ZydpKe3DQAXklhY6RuQT7vT3ADASlAb+E9NoUeo6/wHuuCD+GVwpSsDKIgYbsmHilA2cphOCViWgtlK4eDjVcKo4gaqqgiCdKDbVQJVPOf+vIzuLgEZI3H6rtpnSd78EzDRl4dv8pAIUlE9dLij9Lsi/CR5i1czU3hl1VeaNlGaDYeH1Q8bI813TLZcjmEVA+P1q/DN0/jSkRgT7xlUYK5KAh0hRI837yVEzNDzOgF6jwh2mb32xiuQxQEElqA55u3cGR6oEq0x+0nX0EQFggEz0dTIIRuW0wU8zT6g3M0/mtp8DwoxhRAsVDhla+fIJMq8vznDt12IroZ0ZogsdoQtmVT0xhZNEHNz5O6cGIAx3H4+BcOU99Svc75TInJkTsn+XuQMDWaof/KGLblMNI7haJKbDuwjnJB58U/fwtJlvCHvEwMJ/H4NCzD4tLJATIzeT71G0+Rz5Q48soFAmEfbevruV9mZGfdjYliY1PtAob9+YuJlpgzKxEj8PG9VSml5lh4bt/riAVuFFsU8xVS03nMW4hd1zZGUNS1NaoEUcDjVRElAcdeOrxg2y6p6cKPjVEV1/w8Ub+ByXJuER/VydQQWyINfKhpM6Zj0xFMEFa85MwyZdvkiYYNbIs28r2RC7w6fpVnGjfRGojx8Zbt9Odn+LnO/XO0PcshY5T4894jvDJ+9Zb7PVzbyb6adtT7OEwajs13Ry7yRz3vAFDvDfFbmx77sTaqdLuELKpIS3A4BpQAul1gsHiSkpVlonyFZt92xsuX8EghKnaeBu8GdKdA2c6jWQHS+gheOYwm+oGqUSULMjqrQ9GwJkaVT1arlXT1y8fKWwMxfqn74KLPf7p915L7JzwBnm7ccFf9qfEE+Vzn3gWfSaLIc81bltzfIynsjrewO96yaNtDtTdKO5t8ET7ZtvOu+nQzfIrC1kQdWxP3ppD9QYFl2UwOp7h2foRsqsjVs8O88vXjbN3XwcGnt6w4FNLYXsO2A12ceOMyP/jbY+w4tA6PV0UvG0yNZejc3EhDaxxJEogmAoiiSM+5EVzXpVIyOPV2D8nJ3G0lZR5ERBJBmjtqQYCxgRkuHO9ny75OpsczXD41yO/+ya9j2zbf+rO3KOYr+ENeGtsTjPZPMzOeYWY8g2XYdG5qXKRFdz8x30Cab/Av1afbJaZmMyXSM4Vb7jPSP81Lf3t0Qah5LTA1nrll2ZjrOMuKU19HT26KI9MDGI6NR1LYn2hjXWjpUMdKMFnO8aOJHoqWgSJIbI7Usydxe2mPtUKLP8pAIckPRy9Tsk1qPMG5FI3ri28RgYQnQMFano7gVpAFiZjmp0YLULFNKo41R676EzwYyBjTFO0MApAxpmjybSCsLM7HDsgBgkoNU5VeElobFbtAyhimZGXwSCFs10R3SpiOTtFKo4heTFcnKGhzclzXPVWrhfuSSHP6zBCXr4xjrUJSryAItLcl2L+vE2WZiXdqOsfFy2OkMyVwXbo669iwvh7TtHjrnR6efGwT6go9IddRLOpcvTZBTSJIc9OthRpXguGRFMeO91Mq3Z21LAgCP/Wx3fhXkcBwLVEqVHj5q8c48upF9LKBUbHY9fB6PvSz+4nXhVdczRGK+jj83Hb0ksH5o31cOTOEosi4rotpWISiPuqbYyDB/qe2cO3CKC996T0SdWEEUcCxHQ4+vZljP7q8Rme8NijlK7z5ndMEwl7CsUCVALVigOuSSxfxh70Ewl7KRZ2G1jjXLowiCAINrQkS9RHOHe0D10WUBVq6/u4wqZfyldsaKqfeucapd67dpx4tD9cFo3Jr9vPL2Un+2+W3mNEL+GSVf7HtWbqCiXuuWhwspPkvF14lY5QJKR6+0H3w/TWqfFEGCymm9Tx74q1sCtfPVYcrwkImrPnUX9ejAMYdaBAGFY2PNG9lS6SBsm1StkzKtsFQIc1bU70UV8gM/xOsPgynjGGXEWfDcjfzvO2I7CBrZukOdFPvaSOk1OCXI4CA49rUeDrxyzE8kn9WeSVACAe/FEGaDQteb1MVVWRx9Uyh+2JUnTg1wFe+dpzKbQaOO4EgwK4dbdTWhuhet9irY9kOb759lUy2RCTsw3FcKhUD13EpFHS+9d3TPPLQ+rs2qgpFneMnB9iyqWlVjaqh4SRf/tujTE3fHSeHJAk8/dSWD4RRtfPQOrx+rar9J0l4Axq1TVG6tzUTjvkXeCZkVeLJT+ymchvWYEEQaFlXy8d+6RGunR9hYjiFaVh4vCqJhght3fVzeVndW5v4zG8+Re/FMUqFCv6glw07W/H4VFq76+YEgddtbeYjP3eoWv2nKex/YhN6xUL1KMRrQzz903upb4mteZL6rZBJFbh6dphf+1cfo6mjhsunB2FWGjkQ8VHMVSjmK9i2TXLyBv9LtCZITVOE02/3EKsNUdsYwx+6P9qP9wPlkrEsjcGDB3dZ8eXrCCkeopqXGb1A2TLImhVMx54zOO4GjutSsQ3yZvU6+WWVqLp6fHUFS+dbw2c4MtOPV1LZGmlge6yZ0WKGIzP9nE2P4rou3x+9yNZII03+CHmrQsU2KVkmE+UcF7Pj7IotjhjcDL+s0uSP8o2h06wP1bE91rQsd6BXVjlU28Gh2o65zyzH5t2pap9+YlS9/4ip9fikEHkriUfyI4sLvckfqvsQtmvjkTwE5eANtYz5RMiuC7iLBOJD1M3tA+CVvATlILqtr4rH6v0v+VohXBf6BqY5dryfjvYE8k2VO7Zlc61viv17Ojj8cLVc1rYdFGX2VF148+0rFAo6kiTyxGMbiUb8lEoGJ04NMDqWribwNkXZs6sdVZHJ5sqcuzDC2FgaRZHJZG+w707P5Dl1Zoh0pkgw4OHAvk5iUT/fePEUzz+7jZGxNO++d43PfOoA/YMzlEsG27fdfpC4H9BLBrZto/m02yaCrya27u9k6/4bYdSi0cNM+XV8/hcQhIXJpYoi8+hHdt5Ru4IgkKgPk6hfOqeiaPSS1U9jOinW7fgUm3a3L9qnuaMaUhFFic5NjXRuulHOu/vwjfCz5lF4/IWlQ9Vrhaunh8ini3j9GomGCHsfr3Is1TZFePuls/jDXvSygS/oQRCgtiFC1+Ymvvo/XyMU8ZGbp30nKxINLXGOGZdITec49MzWDxTXlmXZ5AsVopGly+f1ikGl/MGZHJ3bqB9fV3WAaiQxY5Qo2sY9GVWWY5M1KnN5TX5ZI6qtjlHll1U+2bqTvKUjCQKaqMz1VRJFwoqXR2qrtBA+WUUWRSbLOZKVIm3+GHHNj+nafGf4PM2+KHHNz2c79+OTqpWUrf7YgtSLsOrl+aatXM5OVNtb4eQoixKaJL/vhLgrgSgKeDQZWRaxrNuTn36QIIsqOX2IaX0Ey9GxtNZZrsfq7xPXls4xW0CELFQXl7faB6DT38lHGj5C2S7T6GmkZCXJmxM4rkWNZwOyeHt5nQV9X9HeDwiy2RJnzg1z8EAXnR0L8wpkWaK7q46zF0YwLYed21uJx/1zFU3ZXIlSySAeD3D+4ihvv9vDR5/biSCApinU1obI5ctcvDRGIh6kq6OGCxdHOXN2iK7OWrLZMvl8NZav6xavvX4Jx3WpSQQZHcvw5js9PPPEZo6f7OehA10cPznAu0d7efrJLZy/MEoksnbM5a7rMt4/zXvfPUVta5z6tgRd2xdyzeRSBSqFCjUtcaZGkhQyJVo3Nr6vXopk+S2mSy/jUzqJe6MI3Blj9kohiV4kQWO89Bq1vudQpMiaHGctsG1/F4GQF9tyEAQIxwPIikQg5OVDnz5AcjKLIIp0b2tBEgUEUcQX8PCxzz9C36UxvH6NjbvasOclSwejfqKJIK7rUt/6/iTCZvNlxiYz1NeEiYbv/Nkolg2OnhngQ48tnRdpmQ6WsXoiqe83QvOMKqjyMhVM/Z48S4ZjkzZuLBBX01Plk1U+0rJtyW313tBcJfV8nEuPkjXKPN6wnm3RJibKOd6YvIbuWAQUbUEObIMvTMO8hHRVlNkUqWdT5MeHAyoWC/CR53awc0cbum5SLhuUy7N/KwalskG5VH1fKhtz20tlA+MBeTZcJ4frlhGlxVEnRfQQkuPkrOW55lYDtZ5aaj3z+O1Kp5EFFVUK3JUW6gfSqHJd6Lk2yYmTA7S1xhd4WSRJ5JGHurl0eYzh0TRf/Nv3eOjAOrZvrXqHBAQO7OukoT6CKAq8d7SPjz63ExfQDZPJqRylksH4RJaJySyN9RFGx9KEwz6eenwzff1TjIxVq8SmZ/KMjWd44rGNbNvSzOBQkj/687c4tL+L1uY4YxMZeq5NsmtHG1d6JhgdT7Nr59rlK7iuSy5VIDWZYetD6/GHfEwNz3DxyDW8fg8dW1voPTtI//kRtj+6kWK2zHj/FIOXR2nsrKV1YyOj1yaZGU3RuqGRmpY4vWcGyUznqWmOsX53O7KyureM4+rkjYuE1O3k9fNEtN2IkophJxnPfxVZCqNbk0iin316pMUAAQAASURBVAb/x1HlBJZTJKefIqefw3IKuFjEvY8T9ezHcgpkKkcpmFcREIl6DhLUNiMKGh65ETwC48VvrOo53A+0ra+frcxbjA07lyNpFGhZV0fLEmFygGyygG07bNrdtubUAsuhXDEYHk8T8HuIhn1UdJOzl0dJpots7m6gXDFIZUrkCmU2rasnHPRx9HQ/giAwMp5Ztl3HdhYRyH6QEVQWepHSRomieW/hzUVGlbK64b+Vot4bxierfG/0Im9P9lK0DXbHWonfAZnnjyMCfo1dO9vYuaMN23YwTQvDtDENC8OovjYMC8Oo/jXN2demNWuEmZRKBqWSTqlsVF/P/i3P/i0UdQqFyi2raO8Urmvh2uM4dt/cZ449hSD4EL0fWbS/KniIqfVIooIiavfNi2i7JrqdQxY1QkojKw0IfiCNKoBMpsTZc8Ps29tBe9vCqoDamhCRiI9103lOnh7kzXeuzu0TCHiIRPwIQvWm1HUT23YYHEry9rvXeOqJTRTyFQrFSvVGtWws28HrVVEUiUDAg99X9aSUywaKIuH1qIiiSDwepFCofm9dZy1DwymKRZ0d21o4eWaQVKpIQ11kTa+L67ikJrOMXJugbVMTsfowmk9lcmgGWZWRZAlJkYg3RLEMC1mViddHGO+bYmJgGtOwEASBYy+fY+/TW7nwbg9bDnUTb4isSWVY0ehFRCbufZiR/F9hOQVkMYztlBjJf5HO6G8T0raSqRxnuvwqTcFPU7FGmS69Qtz7KEWzl7xxAVFQAJdM5Rhla4SQug3dniRZfgtJ9BNQf3z0s26HfKbEyTevcO7INRraEmze3XH7L90nSJJI0K8xNpHl7KVRLMsiGPDSWBvmR+9epb05gUdT8HgU7OFbhcxWT1vuQUBQ8RC52VNl3ZtRZTrWAiHh1Qz/3Q3imp+nGjcyVc5ju1UtvvZAnIjydyfXby0gCCDLIrKs4r2DS+W6blUv0bQwTbtqiJn2jffGjdcTk1l+8MMLnD4zdO8ddXUcqx/XLcL1NA/XxGXpgpK8lcIvh3EcE8sx75scmFeKMmEMIwoytZ6VG5MfWKPKdV0uXR7nzNlhWlticxO+YVjohoXHo9DUGGVsPMPZ88Nzq1ZRWvyj2LZDMlWgUjHZtb2Vq9cmyb9XrQryeBRURSKTKVIuGyRThbmcqng8QEU3SWeKWJZNz7VJahJBVEWiq7OWv/zyu9TVhWlvS/D1b58k4PegrYFw63wIokBtS5yu7a2oHoXeM0PoZRNv0EspXyZeHyHeEKGuJU5mOkckEaRreyuZ6RzDV8epaY5R2xwnUhNC9ahIikTLhkZidXeudbUSZPTjaHIDfrUbECmZvWjyjUTChPcxRMGL5ZTI6icBsJ0ihp0k4tmPJPgw7TSqFMdyCuSMM+T0s5StYWyniOlkiXkP3aIHP37QPAqdmxtJNESoaYgQjL7/YtrXMTCcZGIqRyTkZWQ8jSgKdHfU0d1Ry3dfu4CmKjy0txNFljh9YTFR63WIonhbgeaP/8JDrNvceF/zCZeCrEhs2NZ8y308kkJE9aKKEoZjkzKq4b97wVLhv7CysvyR1cR1I+rHmZMJlmeJ061pTCdDQL1BVVQyq5O/R75z6akq51s13UW7jeTV6Fiak6dXwaACEFREpRtQEIRqQZXrtOG6S1NjeKUg0/owul0mpi0vVbPaMJwCDd7tZM2q1Nn8XK47wQfWqAJIZ4qcOTvErp2ttLZUH8RiSed7L5+jr38aQRQQEHjowDrCIS/ZZUqsZVmisSGC67r8/v94FUkSCAWrg4umymze2MgrP7rI7/+PV4iGfXMGWjjk5aED6zh+coA33+3BtV2efGwjwaCXUMhLf/80n/rEPvw+FcOwaFoXWfNrIooCsfoIrRsayaeLTA0nGR+YJhjxU9+ewBfykksWOPr9M7iAKElz7OUt6xsoZEoMXh6jdUMDkiyiqPKaVbc5jkFWP0PFHKJk9lKyBkhW3iTs2QOALIWQxTAuJpLgxXGriceqlMAjN3At/R+QBC9euRVNqsNyiri4hLQdJHxPAiAg45XfvxLxBxGqR6Gl68HhQxsZSzMylmZDVx2m5XBtcBqvR8GyHVRRQpElJFFAFAQ6WxO88tZlYhE/yi3kZSRZvC3XWfeWJg49vQVVlRmvDJAzktR72wgrca5PbY5rU7GL+OS1JeYUb2PYiYJAWPEQUjzM6MVV8VQZjk161lOliTIR1XtbXVXTsbmWm+Z0aoRruWlSepGCpeORVCKql/WhWnbFm9kcaVgxuXCyUuAv+45xKlnVQvyNjYfZE2+ZE0guWwZHpgc5mRxmuJgmb1VQRJmo6qXGE2RzpJ4t0QYaveEHitgYIKkXOZMa4WRyhPFSlrxVwSepJLQA22NNPFTbMRfmXG4xULaGyRtXFhhVWf0MshhYYFTlsyVef+ks0+NZPva5Q3j8KtcujLF5V+uKSZVXEwIygliHi4Fj9mBbPYCFKC09PofVBKrooWClquG/+/SbKqKPnDmO7Zp3FXL8QBtVjuNy7sII5y6M0NwUQxQFAn4Pjz68gT072wFQFIna2hCyPIoq/RX/+Lc+i9ejIAgCG9c3UFtblZdpbozyK58/jGnaKIqEqsp4vdX9OjtriUR8ZLOXEHkV07xCXf0vIknr2LWjjeamGLphIssSdbUhVLVqpPyzf/w8dXVhNE3ht/7eUwTWmO5AFAWau+uJN0YA8AU9HPjwDsrFCqqmoHk1NJ/KIx/3IkoiiiYjCAK+oJe9z2xDlERM3cTQLbwBD76AxmM/vZ9gdG1yGormNcClOfR5fEo7uj3JYPZ/YrtV41dYFM2+HtARkAQ/fmU9Yc8uFDGMJHoBEVkM4jhlvHIrqhTFdkoIwo+X0vsHCbGIn+ee2IplO/g8KpIksK69BkkUEWcNqYC/Wp36c5/YTzTso74mhKrKt5w4VU1BvU2emKFbiIKArEjMFIZpC2yir3COVnEjM/ooMbUe0zUYKl5hfXAnDjZBOcaMPoaLi+NayKJKycqjih5qPc345bXx6EJVGSKi+pjRi1VtT1PHdpzbeuSWg2Fbc0aVT1aJaf5lJy4XOJ8e4+uDZziZHCapFyhYBqZtYbkOkiAiixIBWSOm+dgdb+EznXvYFL7zxHHdtriUmeTd6X4APty8me3RRmRR4sTMMH9y7V2uZCfJGGXKloHlVpn2FVFCE2WCioe9iVb+t+0fJqyursfNdgzGyudwsYmorYSUOzsv07F5e7KXvx08xZXsFBmjqvFqOQ6SIKBKMj8cv8yX+sN8ft0BDtetIyAvLNRxXQvDTlK2xqhYo5StUQAc16Bg9OBXFobvX3vxDOWSTv+VCUpFnXDMzw++foKuTQ3vq1HFbDWea01j6W8gSLXV8J+7WEoqb6WZrgxRtvOkjUk2hg7ile6PlmNUbcUvJyiYU4jCyitCP9BGFUAqVeTMmWF2bm+lqTGKokg0NS7mJzHNEoLQT2d7dG5VGAh4CASqD5+qynPerpuhqTIN9RHqa3di2VFKhT9B06qDkcej0NK8NF/V+u4bD97NeV9rAwFvwIN39pwkWSJaFybKQjLNmtn+zv8sMk8iY75cSLxhbSrxALL6KXxKBxHPHjxyA467nrH8lykaV/BITct+z8WmYo+R1U+RLL+OR26gzv8xgupmarxPMln8LldTvwtu1WtV638ej1zPSO5L5PRTFI0e+jL/JyFtB42BTyGJDz63199VqIpMQ+1CQyQcrCaG3DzBN9VXvcktjVFAuKUH1evX8AdvPbFmU4U5QmLdLnEq/Rrrg7u5nDtOQA4xURmg3b8ZTfKgiBrjlQFU0cuUPkRIjpPwNJE30whCVdQ8Z6bX1KgKK14iavXaOLik9BJl2yBwU8n3t4fP8eX+k3Phwaca1vNbmx5bdD3N2TAigE9Wlk1St12H741c5C/7jnE5O0nZMhblq1muU9VntE1m9ALDxTQXMuP82vqH+FDT5rs637RewnBs3h67zH+7/CZXclOLmM9d10W3LXTbomJbOK6LX179McvBJmeOUePZwFjpDGU1je4U8EoRJEFFkwKYTomIeoMux3Rsvjl0lr/sPUpvfgbjpr5brotlGZQsg4lynslynoF8irC2MDHKdkqkyu8yUfg2ZWuUojkAgICIT2knqG1asP/ESIr9j21ksGcK13WRZJFcqojjPChZhjaCoCFKzdjGcQTBC64N82gwvFKAmNqIAMTUBnzSQk+x7doYjoFH9KyqBytvTpDS+zGcIhljkKBSh7zC+eEDb1Q5jsvps0Psv9RBY0NkwQU2zfOUCn+G42SR5FZc90b4zzTOUiz+ATg6otyMP/D3kZYo65wPQfQiubWI4mKLuVJ+iUrlO7hOEUEIEgj9DpLUvIh47H5jqRvudjfh/XKz1vk/ArhIYlXPURRUNsR/F1kMIgoKW2v+z2p/UIh6DxLStmM5eXL6WXxyOx3hf4CLTbL8Fqnym4S0LXiVDppDv4DtVtn0JdGHLFYfyFr/syR8j+K4v4EoKIiCdzbB/cHAueEJfv8H76BbNqIgUBsK8PE9mzjUvVx13+1hWDZXxqdpS0QJeauDQ8W0ePvqAEMzGb7w2N7btHD/cav7707vTV9AI3AbmpCZyRymXi0tFwWZreFDDJWv4JeD2K5NjdaMIqpU7BJlu0DFLtFfvEjFLhNRJLxSgIpdDTmLiDju2kqdhFUPYfXGOaX0IkXLIHBTHtTbU32cTY2iO9Vz022T39r02IJ9XNdFdyyyRnVMvO6puhku8J3hC/zh1be5lp+Z47SKaX72xlvoCtUQVjwULYP+fJJ3p/tI6iXKtsmFzDj/18XXMR2bjy5Dr3ArpI0Sb0/18UdX3+FidgLHdYmoXrZE6kl4gmiiRNoo05ebob+QJKRo7Iw1Ia9BQY3rOpTtNDlzDNs1KFjTRNU2JssXCCi1lO0U6k3zwqvjV/mr3mNczU1hzy5UI6qX/Yk2ukO1+BWNvFHmYnaCI9MDjJQy/Gnve2y+ybsni37i3l0IgkrBuEpj4KdmtwhIohdZXKiHK8sSknyDfX7w2iSiJN6n2rnbQ5DqkL3PgWvhSHUIUgvcRF0gCwouDqropVZpQ7xp+0hphD8f/HPiapzNoc3sie0hKK9cF/hm+OSqY0USNCJqC4q48nzTD7xRBTAzU+DUmSG2bm2mfjah2nV1SoU/RlUPomoPUS5/BXBmtxkU8v+FYOhfgyChV16hVPgjguF/edd9UJSdKOoOQKJc+mv0yqv4/J8FfuIFWQ5L8UR55BsDile5kbwrC35k0Y9hpzGdDJLox6u0YNoZXNfieg6MKMioUgxY7D2sfv7gomKaRHxefuHwbmqCfiRRwK/d26q7ZBh86+QlvvDonjmjynVdChWDVLF0m29/cBGO+Ykmbh0uGBtMos+qPOyIHEYRNcJqDaIg4jgOiqgiCCJ7Yk+hCCoxtQF3dgyRBBlZkKnV7h+Rb0i94amCG0bVfORNnSuZyTmDCmC0lKW/kKQzeMNbbrsOWaOMNWsk+SSV2BKVf6eSw3xt8DQ9+ek5keuPtW7nF7r20+yLoIoSoiDg4GI6Dim9xJ/1vMeXBk7guC59+Rn+9NoR2gNxtkZXlmx8OTPJ25N9DBSS1HtDfL7rAE82bCCgqEizkjW262I4FmOlHJezE+xP3P0C5FZwqYYAy1YGFxvbNUgZfQSUqgJDSh9gU/j5uf0HC0leGrnAlXkG1f5EG7+x8TAbw3VoojwnHG44Nv2FGX739Etczk5yZGZw4cEFCUUKEfPsJ6RuXjAuLoXDH97GS39zlHPH+5kYTWHoNp/6lcN4fGsXdVgZPAhiA+Agqwdw3RJLuZ0LVpoSWUJKAq8URJ7noLiSv8JYeYyh0hCX85fZGNy4KkaVNLvIVkUfthS6K6fI3wmjynVdTpwa4MC+zjmjyrYncF0TWVmPKDWhqgcwjTMAWGYvpnGSbOZ3ZluwUJRNy7R+Z7Csa1TK38R1K9j2EKq6D1xn+VKOBwhzlZGzGnj5bBlfQEO9TWXI+wFFDBLWtjOY/UNS5TcBgYC6kcbAT7/fXVsVqLJEIuCnLrzQIDjWN8LXjp1nPJPHpyr84uHd7OloQpEk/urtU3gUhWN9I0zm8hze0MEvPrKbgZk0//2V9zjaO0LvZJL6SICP7trErrZGXFzODU/yz7/8PaayBQ51t/Ez+7YSDfzdKF8PhX0k6kJIsoi9DNt035UJyrPyR5pUPW+P5KuGv6WqV8zFxSP5EBCQZofL+TkW8n30RM8P/wEkjdIio+p8eoyMWfU+1XmCTFUKWK7Ne9MDC4wq07EX0ClUPVULjaqyZfKDsUucSA7NMb5/qn03v7r+IZr9EUSEBZ5D13UJKx7+0ZbH8Ugyf9p7BAeXq9kp/rz3KP+f3R9bkRfp+nHXh+v4NzufY2O4Ho8kL/JWuq5LwhNgc6R+TbxUUJ1kd8d/DgFxrhrMBWzXIKn3ElFbkIQbRst70wOcTA7PefY2huv4rU2PsSfeiiQIi84hrDTzn/d9ki+89ZdMVRbnGAHIYnjO634rdG5s4PO//SxPf3w3hmFS1xQlXhtesUj9asN1TRx7AteexLFHcN00rj2NKNUjLTH/eqQASX2EtDFJm38LQfHGori/2I/lWliuRUgJUeO5d3FxgLKVoTf/GiISllthU/gFPHLkx6f6bz4mJ3OcPD3Ixg3V5POqQSMw51YUNG5YODai3EI0/uc3GFPvYXC07QlKxT/FH/gVZGUn5dJf4DiZue2uW+XMcRx3jtn9QahOsS2Ho69e4NKpQTSPzMGnt9LQliCTzKOoEooqc/rtHrq2NBEIe8GtUjZA9VxWsxT9fHKCjlCMnswMm2K1yKI4dyNXk4JdBvJpLiWneKFjK5sS/3Eeb4mIgDy3kq5+B0aLWQKySljzzg2EAjdCSK7r8uLAZT7ctr76e7jXF0zCTWW0LiCQ1suULZMmf2hZDqSljrMSnBka59f/6GvIksjGxho+d2gHW1vqWV+f4HeefxRVlvjhhWtcGJmkLR6hIRqiYlq80zPEP3n+MPWRIAIgiQKdNTH+8XOH+T++8jL/8uOP0xQNI0sihmVTNkxUWeJXH99H2TB57WIvp4bGeHJz14r7/CBCEAVqG6Ik6sJMjqaX3CebKjB4bZKm9viCBcT8322B7MX7vELySDIR1XeDVkEvLiIAPZkcmvvsY63b+IveY+i2yZuT1/hsx565czNnv38dflklri4M/51JjXAqOTKXC9QdquHjrdtp8UeXHL+utx1Vffxi90Henu6jJzeN7licT4/x7nQ/h+vu/P6yXIew4uX/te0ptkYbkWdz15Y6roSwptQYgiCgCDcM2jkWNMclqrbhkUJzfUvqRc6nx5icNY5EBD7ZtpOtkQYkcekwnCgItPqj/Er3If6/536wZB8sJ4vp5PDKTej2DFn9NIoYIaxtny3Uud7X6qIiuLNlbsx2H4h8KglRTOC4RbDKyOrDOPYguEvLScmCgu6UsR0Ld/bf9WcwbaRxZg3WDYENi8KDdwuPFKbVfxCPFEERvcjCyr17KzaqXNfFsR0Mw0IURVRNribAuS7SLUqc7weOHO1jz+52EokgktwAro1l9SHJLZjGiTk+DFlZh+BamMYpFHUnYINjIEi3tnZd18R1y9W/6LM5WiquW65WmAkecHUM4wSydMNF67guJwdGefncNV7YvQnTstnV3vi+a60NXB2nUjb40Kf309BWg+s4vPfDC+TSRYJPbiaTLPD9vzlCc2ct2w92MTGUYs9jGwmEvbz0xXf5qS88ump9uZyZxiernE1OoIoS51OTtIeiWI7DTLnI+miCWm8AG5eiZXF6epLpcpFGf4iiZZDRy3gkmQ3RmqpL3baZKhdoC0bpySYZLmSp8fjYXdNEQK2GwSZKBd6ZGGJrvI6jkyMUDJ16X5CE18dQIUNrIELZttAti/ZwlKJpYDoO/tl+Oq5Doz/MSCGDQHUSyJsGidnjBNWVh363tzbwm08foi7srxpnQvX+6ZtK8d0zV0gVSqQKZVoTEYx5jOF7OpqoCfnxzmO8F0UBVZZm/8poc9tsNFmmvSZKV22M6XwRn6aQL39QBIhvD0EQaO6oobmjZlmjCuDojy6z40DnLHXI+7/QuRUEQSCiegkpVWHltFGmZN8QqXdch9OpEQqWgYjAR5q38q3hc0yWTU4lRyhYOsHZ/CvDcZiZNapEQSCoaASUG/er67pcyEzQm78hEfJYfTftgdjtF4SCQFT18kLLNv7LhVcBmCzneXuyl0dqO1d0nZ9r3sz6UN2yBtX7heuTuyxoyJK2ICIxkE8yUEjNve8IxtkUrsMnq8ua5derGJ9q2MB/vfgqFXuxjExWP0u6cpy28C8zWXyJTOUkshjCcvLU+p+e2+/tly/Qsb6exrY4oiSilw1+8PUTPPNTe97XEKCAgCt4EOVuRKkdBA1Rql+Wpypvpmj0dpM3U4uofAt2AWc2FF/vXT1pouv32GDhLUy3wvrQh9CklYUVV2zeWabN6Xev8Z/+yRf5s//8EpZlM3BlnFNvX1tpU6uOicksp04PkkwVEAQPvsCvold+QDb1v+C6FUQxCoKIIHgIRf4TpcIfkk79Mtn0/4ppnrtt+3rlNfK5f4thHKVc/BsK+d/DtgeR5XYUdQ/F/P9FNvNPkeX1iGJs7kEzbYe3rw7xyPp2ZvIlrk0mH4hKjGKujCxLhKIBRFFAkiU27GpDViRMw6KpvYbWdXU8+6n9bDvQxYadrbzz/bNcPTt02yTglaJiWVxMT5HRy6SNMhHNw5npcWYqRXbXNrEhUoPlOLNGVomzM+OYrs3F9CQuLu2hKCOFLKlKiZlycY6R2bAtZspF9tQ0UTRNStaNSejt8QHagxHeHBvAcGy8ikJKL3NkchgQuJZLYTkOu2ob6Q4n8EgKumUxmE+jSCKHGtrQJAlZFBkv5enJJNld00jZWniclUCgOsldpxQQBIFsqczL53vY0JDg33/mw3z64DZi/oXXX5PlWSPsxv/r7d1QbL8BSRTRZGme1+6uuvtAo7E9TktnzZx3eCkce+MK0+PZRdfnQUVY9c7RBWSNMiXLmOv7YCHNeDmH7Tq0+KPUeAJsjzYhIlCxTY7Py9UxHYvkrFHllZRFdApFy2CslCFvVic8SRDYHK6/I8Z1gapX7WBN+5zxUbB0+vLJJY2FW+FgTTthZXUrvFYTc8/bPHNpqpJfEMLrDtWS8ATuqEAoqGp0B5db3AsIgkzJ7MNxddrDv0pQ3VgtypmHM+/1ksuU5gixNa/Ke69dwtDvbkxaNcxeK9fJYJvnZl/nce3JJQegoBJlqjxAwUojIi24xvM9U15pdeeigjmFRwqjicG78k2v2FOVz5R46UtH2P/EJi4cH0CWJQq5Cqff7WHvYxvuoguriyNH+9i/r5N4zI+q7kKN/T9L7qeo24km/nRFbXu8z+LxPrvkNn/g1/AHfm3JbQIQ8mqMZnLggmnb7zuLM0Ao5ic5mWVyJAkCqJqMXjLQyyZ62cSxHRRVolSooFdMWrvrePmrx0hN5fjpX39iVftS6w2wv64ZcBkt5AgoKmGPB7+i4ldULNdhtJhjplwkb+p0hWNIokRHMMZMpcjl9DQeWSFZKZEzdBr9ISZLBQzbnlWgl/ApygJOH0kU+fzGPXyz/wIeSUYUq49qnc+P7bo0+IJUbAuvpFC2TCZKeaZKBUJqDVm9wpGJIWzXIW8YeGWlypcjyXhlFekuJwHdspnKFXBcB1kUCXg1bMdFk2VcF6ZzRS6OTlKs3NkAKYoiYb+HgZkMXlUhcI+J7x8k+AMe1m9rpq45xvhQcsl9CrkyP/zGCeqbowQjvgd28r6OiOqdqwA0HZu8WcF0bFRJ5kx6hNysEbQj1oQqyuxPtPHa+FUsx+HdqX6eaNgw+11ngVF1s77eTKXAjF6Ye1+jBQirXqQ7TJMQBZGI6iXh8TNdqbaTM8uMlDJ0h+4s/yUgqzR4w6jSBytLJa2XyBg3Ks3rPIE7pnmQBJFmf5RzmfFF20RBxXYKpMrvIQoqAbWbrH56kT0iqzKGbmFbDqIkUCkbVRqhB+XedvM41hVcZTOuM4VjjyMpW5jv7nNcB8e1afKtx3R0FFFdEP4LK2FGy6M4OBSswjIHujtEtXZMp8iM3gMsNJjvBHcV/hME2LSzjQvHB3AcF9uyb8sIfL8wNp7h9Okh1q+rIxa7P2Rht4MiSzy3YwNHe4cRBYF9nbeu3rhfaO6sZWo4xdFXLxGOB+ja3MTUaIrxwWmCER+J+jBdW5o5+cYVNu5uY/32Vjo3NTLUM7HqnqpnW6sswR9tryYsXs+Pmj/J7appZFdNtYJoa6yuyggvVL0w17JJypbJtnjVFbzU5NjgX5jk+YnOqur9z3bvWPD59Ry4m8McTzbfyAfZPjuSXT/+/GM2+u+OfdurKOTLFX7ve28higI1wQAf272Jg+ta2dHWwCvneznRP0pLPExdKIgy+8xF/F40WV7SI+PXFJ7d2s2X3j1DYzTI8zs2sqmplqBXIx6oTqSyKBL1ewl61rZSNVfRMSybqM+D60K6XEaTJIKeKluy47jMFIuEvR40efHQ5LouZdMkW9FpCN2ZS37D9ha6tzQxOZJa1jv88tdPsueR9ex5ZH21FP1BmXyWQET1LpCSSRslKraJIkqcS42Rn82n2hVvQZUk9iXakEUJ3TY5lhzCdGwUUcJ0b+RUeeXFRlXZNhd4lYKqF22Fxo0kSERV35xRZTg2BXPpUM9SCCqeNUs8X0tUnCpv1nVUr92dFf2ICAtoM+YjoHZRMvvR7WkSvscBUKU4qrSQX7G5I8G5Y/2Ikkgo7OX8iQHqGiNI8gNyLQUNcLEqr+K6BQQxuCin2XDKDJUuozslRCS6g3vQpBte0nZ/O1cLVzEcg/HyYgP0buG4NrqdwyOFiakdSILKmsvUSLJENBFksGeCYr7MlTND9F0aI167tjIOK8E7711j394OIhHfmogArwSu62I7DkMzaT62exNF3eDK+Ax14du7g9casiyx/6kt7H1iEyAgigIbd7Xx6Ed3ze2z+/AGth9ahySJFPMVHNvh0DNb17xvt8vbqLrcb7xuDUaqhtgqXNP5bd9J/1brd9zaUs9/++VPLLnt8U2dPL6pc8ltP71v+d9DlWWe3rqOp7euW/D5/IT0WMDHz+xfOY/QSvHa1T56Z5L8yqG9TOULfPPcJXY0NfB4dweKJKFbFt84e5EPb1pPayyy6PuO63JqZJyvnD7Pf/3kYlX7pdDQHGP7/g4unhpkZiK75D6VssGf/d4PiNYEWbepEcT7x9W2UoRVL6F5k27OqKDbFgI6V3NTlC0DTZTZEa16qtaHaqn1BBgqphkrZenPJ1kfrsV07HmeKpW4Z6FRZTo2xjzDQBWlFVc6ioKAd54xYTk2ZfvOQ1CqeGvW/AcVpmMvIClVBPGOPdeCIOARlzbAVClBc+gzCz6rDyx+Dp74yE6+/7XjfPl/vEa5bNDcnuBTv/IY3geEUkEQa5G1w9jGaUS5E0nZuGgfj+Sn078dSVCQRaUqUzNvVN4Z2ck7yXdIGSmuFK5Qtsv45HvXMDWcIhPlc0iCiuNaBJR6JFZ23VZscQRCHh79yA7e/eFFirkKX/vD1ylkyzzy4e0rbWrNMDyS4vSZIXK5O18VrSWmc0WO9A7TP5WidzLJlfFp7Acgp+o6xNn8neUgz+beDF2dQFEkurffP26eO0U17PbgUUD8BIsxUyjx+rUBOuIxDrW3oEgS+YrOeC7PwfZW4v6Fg2OmXOH8+CSXJ6dJl5fW71wOgiiw5/AGtu/rQLlFSXn/1Qn+8D9+l54Lo8tSMKwGXNelVKgwOjBzywT65RBWvISVeUaVWaHiWFzOTpLSi7jA+nAtcY9/LjfvUG1VxsRwbN6b7p9lITfJGdXxcanwnygICxakjuviLFvzusy54s7xYMFsld77TIZ8PyAsETJayZVbzv5yXRvDTpI3rqJb07iujWnnsZ2Fz4Q/6OGTn3+Ef/sHv8R/+vNf43/9dz89m1v4YFx7181jGSdxnEnAwbEGlsypcnHJWymGShcpWgvzHjsDneyO7EYTNaYr07yTfAfTufecMY8Uotm3lwbfTtqDj6CK/rUP/8mKzJa9HXRtbiI1lUPRZGI1ofedA+NmvPVOD/v2dhAKed7Xm8kFBmfSJAsl3ro6iCpLbGyoQX5AwqUrwea9HUDHbff7CX6C5VA0TN7o7UcSBR7ubCUwG3Icz+V59Uov37vUw7974Rm2NlTVDWzH4RtnLnJhYoqo14Npr9zgqW+K8vCzWxm8Nknf5Yllk9LPHevn//633+Rzv/kk67e2EE2sjjfZdV0qJYNsukhyKse1C6OceLuHrk2NfP4fLZ2juRy8skJE9aKJMrpjkTcrGLbFxcw42VkjaXe8ZYGH6NG6dXy5/ySGbXF8ZojPdOwlrd8g/lwq/OeVFLzzwn0lu1r5uhI4rjsnlQOgiNKaSMg8aNAkCVWSMGclkMq2ieXcGdu+67qU7aUpBnR7huniD0lXjhP17qcx8Eky+gkUMUzEcyO6oFdMZiazlAr6QkNkYwPy+1yhD4CTwbVHEeUNONYoguhDUrZxM6ljyc4zo48gLaG/JyDw0YaPkjEznM2e5Tvj3yGqRlkfWE9ACdwT/YnplMhbk5hOmfbAI6jSygyrFRtVlmmTnMpRUx+mqaOmehMUdXKZIrGaBycEODA4w+kzQ7S3JQitcv7PSiAKAvu7Woj4vXhkGRfmlbb/eEGvmIz0TxOK3Lub9k4Rms0NexCJTH8cMZrJka/o7G1tIuq78Vyur01QFwxwbnxywf7ZSoWvn73I//2pF6gN+vkfbx8jU1mZtwpgzyPrGemfJj1TIDW9NLkiQM/5UX7vf/saT/3UbvY83E19S4xoIrii0Ill2VRKBsVChVy6RCZZYHRght5LY5w91letNnRcmtvvjrAwonoJKhq6bpEzdUq2weXcJDmzgojArljzAqNqV6yFoKJV2dZzUyT1AkmjmuckUCX+jNyUxxNUPHP0C1BNvi6a+jxuuFvDdV3Klrkg2f16leHdYI6DTnj/+cJuB5+s4ZfVOWLWtFG647Cng0tSX1rpoGT2UbKGCWqbcNwKkqhSNocxpRwRbhhVF08NcvZYP6V8ZYFR9Uu//Sxy4AEwqgQfgpjAdcZxXQdBSCzJExlWEnhEH4ZTqYb/biZMVcN8tvWzaCMapzKn+IuBv+CxmsdYH1pPSA6hiRqSIK1oYRSQA5TtLEGlnpTeT94cJyw0Iwt3XoG64tm9VKjw8leO8ZnffApRqj48owMz9F0c40Of3r/S5tYUb7x1hX17OwgEtPfVW+W4LgPTaaZz1RwGn6bclxyWBw2pqTwvfvEIr7145r4dc88j3Tz/6QPUNkZWrU3XdXEcF8u0q/8tG9u0MWdfW6aNbTlz25KTuWW9I67rksuUuHCyWkkrK9LcX0kWF7yf//mDmvNzOwQ1laZIiKF0lr6ZFBvram55LlP5IiGPRjxQzY/cXF9LXzK17P7LQfMoPPmxXaRnCrzyzZPks8sbZtl0ka//6Zu8/t0z7NjfybotTdQ1RQmEvHi8KopWLQpwXbf6O1vV39vQzdkFZpn0TJ6psTTDvdMM9k5SyJZXjbYiqvkIKh5m9CIFq8JYKctIMYPuWNRoATqDNSjijckzrHrYEWvmrcle8maF06kRkpXqxC2LUtXzdVMidVTz0egNz3nEcmb1OGXbxHcH3ibTdRgoJOcMC1kQqfUEqfGsrHjIdaGvMI5uW1VCW38DsvgAGAa3QELzE9P8TM0m6I8UM+SMCk23WUu6blXqZ6CwdKWq6zooYhCP3IhhT2M7FRzXvEFgPYsjr12muSPBox/aiqLemOI174PhJRTECJKyCbPyQ0SpFklZv2gfw6lgOjoONnkrhV8O45FuGOR9hT6KdhHDMejwd3Alf4UZY4Zvj3+bSDJCo6eRiBJBEZUVGeFP1j6JJCpMli9iuSXyph+/kkAWbi3OPh8rNqoM3aLn/MhcuE8URcpFneG+qZU2dVsoskRNbZCxscxdfb+vf5rTZ4ZoaY4RCNz5RVlt2LbD+ZFJHupuZSJToGyaOK77gUzCvBeYhrVsaftaoaktcc/8LLlMid5LY+SzZSzTwjJsDMPC0KvUE3pl4X/j+l+9+nd8OIVtLe3+d2yXwZ5J/uDffwfNo6B5FFSPgqbN/vXIqJoyt03zKKiagqxWjSxFlWjtqqWhJf7AheCXQkM4yMe3beJ7l3o4OjhCXShIzLe8JzmgqlRMi5JhEvKIJO9BrzBRF+Yjnz2IXjF583vnKOSWN6xcF5KTOV799mlee/EM/qCHmvowwYgPr19DlkUc18XULQy9ei8UCxUyM4VqQcca5kxWCUCr41nBNLiYmSBtVK/LtlgjIWXhql4QBA7XdfHWZG+Vryo5PJd07pEU4tpiQ0cRJTqDCRp9YfpnJ/njySEeqeuiIxhftP98uK5LyTJ4bfzqgj5vjtQvMPbuBJOVNKl8irDqQxFkGjxxxgtJDNeizVeLLEj0FSdQRJkGTwwXl9FyEo+oUO+N4pXuv/Zqoy9MgzfE5WzV63otN81YOcv6UO0CSpeb4QLjpSxDxaVz7VQphiAo5PSzWE6B8cK3MJ0cYXlhPrMvoNHUnqCls/aBHBNcJ49jDSJKzYCNY/UjSg3MD/9ZjkHOnMFwKuTNFAltYcX8t8e/zUh5hJJVomyX58hBXVzSRpq0sfJ8RYDtke3EZB1RkNGEEI2+XWjSyhYCKzaqBFFA1RRG+6dpaEtQKekkJ3OontUPrwSDHj7y3A6++a2TTN3CZb8cXBde/dEl9u3toNOn3TIZey0hiSK72hrprI3TP53Go8hVz8WPmVH1QcXEcIq//n9eZah3EqNSnUBXc9Is5itcPTdyx/sLQjW3UdVkNI/CJ3/pET78qf0P5AC6FGI+L4c6WvjexR5Oj4xxuKud3pkU16aTTOWLHB0coWyYbGuspzYYoLs2zrfPXaYuGGAks3QF352iuT3BJz7/MIoq8/p3z5BNFW/7Hdd1KeTKtzTC7ieiqo/gLAFo0dTpyU3PUSnsjDXjVxYaEiICBxLtqKKEblucSY7QPmsYeSSZxDIhuW2xJjZH6hkqprBdl+Mzg5xMDlPnDd7SW2W7DmdTo7wx2QtUp8pGX4SHapeuXr0VLuaH2BtrZ2e0E4+kUrZ0RspJhkvT5M0yzb4Er0yeZkekE7/kYbg0TW9hHK+k0mHWsyt6/2WXmnwRuoI1vDPVj+5YTFXyvDfVz9ZIA3XepVNk3Flh6G8Pn1tAxzAfPqWNsJNlpvxmlQTUGiSi7SaoLqyeUzWZt35wnuG+afxBz9w088izWx+MNAi3gOvmkD3P4Fg9OPYwrpMDwYswKwsjCBKyoOKKEFFrUcWFTpGx8hgz+sxSrd8zbNfEde27lq5bsVHl9als2t3GS18+QjQRwDQsKiWTLXvb76oDt4KqyuzY3kIqVeSrXz9+V2309U9z6vQQjQ0RfL7VXbUMZjJk9QpNwRBRr3dZz5MgCPhUhb7JJLbj4FWVW65YfoIHC4ZhkZ7Jk0vfvZdkNeG6Va+faVgU8xUK+QrOCpOI3w+sq4kT9XlRZZlN9bWkSxX8qoLjuhR1g5Jh8ui6dhRJIlfRsRwbQRD4wsE9vNU7QKZS4UB7C93FW3tKboeWzlo++UuPEI76ee3bpxgbTuLYD0417u0QVX2E5OokU7INevPT5M0KmiizOdKAbwlOpGZ/lM5Agsu5SQaLqbkFpkdSSCwTkmvyhTlct47z6TEGi2lm9CJ/O3ASn6xyuK4Lv6wuElS2XIdjM4P8Uc87c/lUYdXL4bouukO1Kz5Xy6mS914P4cwYOUKKjxZfDf2FCdYFGlkXaMAjqRSsMkOlKWq0KmGovgrVYHeDgKKxK97MG5PXuJqbwgVeHrtMiz/KCy3biKjeRSFv3bZ4efwyLw6fX7ZdSfQR9ewnpG3BtLNIohdFjCAICxdTjW1x0jMFxoaSaJ4b8ku25cD9d9wthqABCrZxEtfJglvCNi8gyp0IUpVn0HFtbNciZYzhlYKLQpyd/k6ianTVuxaQA3hEkbKdQRMDCHdhWK3YqPL4NB77yA6O/egyyaksiqqwdX8zW/etfBVyOziOiySKPHRwHW+8eYXpmZV7qxzH5YevXmT/vk5aW9RVzUWxHYdkqcxUsYgANIfDdESiqJK0aL8Lo5M4rossilh3UcG0EhiWzZnRcXpnUvzMzq2UTIOjgyNYtsOHN1fj15bjcGliGlkU2FS/ssHOcV1GszkujE3OtfcT/AS3wmShQFIvYYsOpyfG6YxGebz7RiXpntYm9rQ2LfhO2TQZLxToiEfprrk3Q+pm1DVF+fgvPERja4w3v3+e0+9do1S4f9qHXr9Kou7uCnuqXFVVo6pim4yXcpiOzbpQDQ3e0KKcI0EQUEWRh2o7uZybpGDp9Oaqq3yPJJPwLO2pkgSRw3Vd9OVn+NuBU6SNEqdSI5hX36YnN8WWSAM13iBeSa4KPFeKXM5N8tr4VU4khwHQRJkDNe18vHX7XRF5dgeaGCpOYdgmQcXHtJ6lrzBOjScCVMM9qqhyJtPHjkgHETVAUs/R6I3R6Lmze8ZxXSzHpmKbC2gjLMehbBmIsrbivu+Kt/BwXSfj5Sx5U2e8nOOv+o4xWcmzO9ZCnTc4l682VclzIT3OiyMXSBkl2gIxBudpBzpOhUzlNEWzD7/SjiBIpMpHcHEIa9sIazuRxRu/4d7DG9h5cN2iPj0IOVWuW8F1CkjKRmzzCq49iaisQxCCwDxRcwREQURARFwi2fxD9R9aFQqFm9HgaSBnXEMU5Flj1V178k9RFIjXhfnQp/fPJd+uVRK44zroukVba5yHDq7jmy+euqt2evumOHV6kLraEJ5VDFO2hMNk9ApvDQ1iuy55w2CmWGJ3QwNeZeFxbMdhU2MtiiQR8KztzW3aNieGx3jtah+PreugbJp87cxFQpq2wAiSxOqNu1K4rstIOstLF6/+xKj6Ce4Ik4UCPckkLeEwo8kkU8UiexobSfh8DGezBDWN0VyOVLlMVyxGYzDI6fFxdNumORTiyswMqVKJkmmysaYGv6pyZnwcjyzTHY9XtSOnp4l6vXRGo6TKZfrTaeoCATqjUfzq4mfOH/Tw6PPbaV1Xx6ZdrZx8u4dLp4aolJcuab9XCKJAY1ucDVubWb+1md2PdN9VOx5JJjyPVsF2q+Gi7dGmBRV78yELEg/VdvAn196tUh1Y+mxbCoklcqquI+EJ8Im2HVRsixdHzpHSS5zPjNOXn6HZHyXhCeCRZEzHJq2X6J+XnK6JMofruvildQdpC8Tu6lxb/TXYhLBcC1EQ6PTX45M0fLKGJIiIgkhcCxLTAjR5E4DLYHGKkOIjqCzO1bucneB8epyiZaDbFrpjotsWhm0zWsrMyfwADBZT/NcLr+GRFFRJQhNlNElGE2Vimo+dsWaa/JEl+x3X/LzQso3xUo7XJ3oo2yYDhRR/1XuMNyeukfAE0MSqMTqt5xnIp7Bcm4druzhU28F/OPfyXFsVa5zJ4lUEQaJkDs1WQIrgusyU3kREI+rdO7e/LItMDKfIpooL0hS27+9AVN/HynPXxXUyOFYPkroDrKsIUgMIfiR1K/NzqgQBJFElqtbPGlcLjZp2f/uadbNgyliOjus6uO7KHSArvsK27TA5kuLiiQHKpRuDT2NbnD2HV1f7z3FcSiWdcNjLwYNdvP1uDzPJlev82LbD939wjgP7O6mvC6+at6o/kyav6+yqbyTu86JKEhenp7GWCMWIgsBoOociSYvEcNcCiiQS83vpnUkR9XlIl8o0hasr42SxxOmRqidrZ3PD3HeKusE7/UPkKjolw6BiWTy2roPOeAxZEumdSfHa1T5kUVwhDeBP8BOAZdvkdR0XSJVKDKTTBFWVC1NT1AUCnJucJOLxIF0XXgXGcjkc1+XM+DiaohBSVX7Q00NrJEJ/Oo1XURjP56kPBjk/Oclj7e1YjsPVmRmGs1kagsFbFoSIokjnxgaa2hNs3dNOz4VRLp4apPfiGGODSex79Cr7Q14aW2M0d9TQ2llL67pa2rvrqW+OItxljqcgCMRUH4FZWoXr2BZtJKgsHd8RBYF1oRrqvSHGy7m5z28V/ruOzmCCn+/aR9zj47sjF+jNzVCyTa7mpriaW1ygJAD13hDPNG7kY63b2RppWNzoHUISRLZFOnFcZ04wvMVfgzj72nVdompg1rNRvZ61WmRJmSmAEzPD/HnvEbJGGcOxMRwby7GXHM8myjm+2H989pwEVLHKP6UIMu3BGCHVu6xRBbAxXMcvrTuAT1J4beIqaaNM2Ta5kpviyk3XTRUlPtqyjZ/r3IdPVvgvF16dY2U3nTSWk6M9/KtMl15HtyfpjPwGIDCU+zPK1jBRbhhVx964ylDvFEO9UyTqQsxM5ojXhdi8q3VBNeD7AreMY12eDQE6SMp6HHsEXAfmhTG9UhCvdGdSVKuJgjlJQKlFFGQkQUMWPWtP/lnMV3jxr94lEPLiC9x4gNciJ6FqVBnIskRHew3793Xy3e+dvau2rvVOcfLUIM88tQV1lW6snK7TEAjSHr0R8guoKp6bdMtkSeSJzV3kyzqW45Atrz3TuybL1IeC9EzPsKOpAVkU5whHVUki7NUYTKXRZIn9bdXKirJp8b1LPdQEfOxoqufKZJLXrvZRs9tPQFP543dPsKEuQX0wwLsDwwuOJ4oiXZsa+V9+d2mZlfcLDS1xool7ezgb2+L84j96hmL+wWDovxldmxrx3GfX/ie/cJjHX9i5JFWEoki0dC4OKXtkmbpAgNFcjqlymYplYTkOBcOgHthZX8/wrLeqLhCgORTi6szMbDWZxaaaGloiEV6+dg3LcUj4/UQ9HhAEGoNB1sXjpMplagMBumIxTMchVS7TGAwu8hzfDM2jsHFHK91bmtj10DomhlKMD6cYG0oyMZomNZUjly5RyJcxKiaWZYMLiiqjqNWiAY9PJRz1E00EidUEideGqGkIk6iPkKgLEa8LoXkUBEFgcDpNKl+mNuKnKRZe8fWPaT4CsjYnNRNTfXQG43iW0ZgTBIGAorEn3sqLI9W8HRGBgKwRlG+faNMWiPHp9t1sjTRybGaQ8+kx+gspskaZsm2giQoBRaM9EGNjuI69iTa2Rxtp8K383JbCfI/6fFZ2QRCQbiaGvIXMVN7SmaoUKFkr80a6uOiOhe5YgE6golK5DfeUJIhsjzURVr1sjzVxbGaQy9lJpmeP75FkIqqPjeE69tW08VhdNx3BOOOlLLWeAKOl7NyxBUHBp3Tgka9guXkUqXpdJTGAy0LD/+KpQTo3NjA+nGLLnnZcx+W91y6taUXqHUEAhBCC1AKugaweqH7sGtxM/Pl+IW0MYDsmklgdT4NKHZKwsujWiq0LUzcZ7Z/m7/2rj+GbR1OwFhaw67iUZl3xsaifg/s7efdIL+n07St2boZlO3znpbMcPNBFLOpfFW9VtlIh5vUuyKGqDyycwDPFMrmyTr6iVz1AuslUbnVVtZeCLIpEfV4GUxnaY1GawqG5CTDo0dhSX8fxodFF37Mdh60NdTy1YR11wQBfOXWBsmlSNAx6Z5L89uMPEfV5SJZKvNd/I3FbFAXqmqI896kHi6tsNRBLBHn0AZJhehCw//HFel23Q8EwGM3lyFUqRL1exgsFpq5dY7JQoCUcxnVd+lIpFFEk4fNxanycq8kkl6ancV0XjywjCQKKJNEZi3FuchIiETpjMYqGwUyxSMW2Sfj9OI7DeC5HplymIxIh6r0z77AkSzS319DUlsC2HHKZItl0iVK+QrlkoFcMLNOZKwyQJBFJFpFkCUWV8fpU/AENX8CDP+jF41OWTI84PzjBuoYEiiQxNJ0hWypTFwlS1A3KukltOEChopMr6fg9Kn5NRZaqNA614QB7E2388+3Pkp8NV/lllfWh2lt65bySwi93H+LR+mq+jYhAvS90x0UzMc3Pw7WdbI7UM17KkdSLs0zrNoogoUkyMc1PvTdIjefWHsKlENF8fKH7IM81b549J40mX2RFbdwOT9avp8UXWSCfM5UpEPZ7SBfKxIM+lJtYx10XUvkSfVNJ9q2bleiywKffMEZtx2EslWMqW6AmFKCkGwS9Gk3xMJ3BBA3eEAdq2pko5yiYOoZjo4giXkml3htC1EXaZ0OkEdXH/77jOXJmBa+kUKMNkDd+wED2f1IwetDtGfozfwBAunKCGt8TC/prGjaNrTGuXRyjobnqJf3hN07irHEu7+0hIIhhZO1xwEYUa3DdCpIYXbLSrmBlSOljGE6FBm8Xfnl1DPRbQRJUVDmIKlZJxcSVm0h3IagsicTrQoiiSCS+Mv6GlcJxXMqzRpWiSHR11bF3Tzsv//DCXbXXc22SEycGePKJTatC12/YNi/39RLzjKFIIo+2dRC7afCWJRFBgAsjk6xvSGA5Doa1dMnsakIQBFRJomiYjGZydCZipO6A48enKMRmQ5l+VcVyHFwXirqJJsv4tOpKuyF0/12zf5dgGhbnj/fz8tdO4PWpBMI+9j26gS172z+wxJ63QlskgtrVNVesEdI0CoaBbtvsrK8n5vNRMU0SPh9Rr5eQprG1ro6WcJjGYJCY10vC50OTZT6zfTuNwSD1gQBeRSHi8WC7Lgeam1EkibjPR8WyONzejk9RiPtWzuAvCAKyIhGrCa2JUkS2VCFf0Ql6NdLFMoNTaaIBL8lciWSuSNCrkcqXGU/nEASoDQcRBIj4vdSGAzT6wjSu0AskixJbog1sid59OE4QBGKz5JarDZ+scqCmfdXbnY/14VrWhxd6UY/qQ3gkhaRYolELkSvr1IR82LZLqlCiNhIgFPfwav4azzVuYmAyzXA6Q4kb4/hEOs9oMkdjLETY52EincdxXUI+DwNTKWRJwq+p+EseWoMxQGA6W6A+GsQrKxztH6YzEWcik2dgMsXGugYaGqpjbMn0M1l8Ekn0EtQ2EnBtJLE6z0Q9exdRKjR3JBAlkZauGr71V++iqDKCyF2Hm1cTgiAjSIl5733A0s9n1phCFCSiaj2KeH/KFuPaOmTRs2Lv1Hys2KhyXBgfSvJf/tmXqW2KoqhV46R7WwvPf+bgXXdk6WPd8FQB1CSCHNjXxdFjfWRvwYi8HCzL5psvnuLQwXUEAvfOSr2trp4avx9BqMbvNWmxoeZTVVRZ4vCGdmrDASqmRX14bY3R69DkqmF0cXKKJ7o778ioEkVhyetSE/CTK1dIFko0hINcnbq/JJ43w7JsMtkSyWSBZLLITKpAKlWgUKhgGBb6dYJOw8J1XRRFRlNlNE1GVWQCAY14PEgiEaAmEaS2Jkg4fP/kcxzHJTmVo5Sv8Mwn9zA+mOTN751DlAQ2726/b/1YLZTtHC+P/Ue8UgRJVKj3bmJ98HHkWTd62OMh7FmYRD0XOpwN1ziz7wVmw1Xa0gPpppqqvEtodvv13Jq4zzf3Xdd1qQsE5t4/iBiZyaLJEsxKv4zO5JBlEct16R1PkivrWLZNJOClWDHIV3TWN96dtM39wnW1gWSqwMxMnmSywEyyQCpVpFjSMWafS90wMU0bAaEaPlUlVEXGoymEQh5iMT+xWIBY1E9dbYhQyIu0RnqpZd3iVN8YAa9GplhiV2cz5wcnUGWJhniIWMBXHRcRKBsWfVMpmuNhhmcyc20UKgaWY9McDyOKwlxfixWDbHF23IyGmMoW8CoKLjAwa0hH/V6yxTKW43Cqb5TdnU0E59H/eOQGmoKfXrb/krBw3Hr4mS14vCq1DRGisQC5bJknProDzwqklh4EODikjUlkIYkm+RZxVa0FtFXI41qxUeULaLzwCw9TKRkoqjTHd5Koj9xzZ27GfE8VVL1V3etq2b2zjddev3xXbfZcm+T4yX4eO7xhFQZbl85olICqMZLLLtmeKApIiNiOi09VEQXxtvkdqwWfotBVE+Py5DRB7cYDdWF8kpcu9nBiaBRFljBtm8e7O4ncIkQS9mp8YscWfu9H7xDz+Qh57h/hietWjajRsTS9fVP09k0xOJgknSmhGyaGbqHrFrphYVk2ju1gO9XB/XqYRhCqA50oCoiiiCKLaJqCpslomoLXo5BIBOheV0/3ujo6O2uIx9bW+BVFkVhtiJ0H19HeXU+5bPDOyxfYvLudTLLA0R9d4vLpIbx+jQNPbGLz7nZkRWKkb5p3X7nA9HiWyZEUDa1xfubXHiNeG3rfDAjbMZjSe/hI07+mZKUZKp7EK4XoCCy/0Lq5rysNF93MGi7ctO3BNKWqeGr7OgRBwKtWx4LGWAhJEpFFkdZEBEEQsBxnztjsm0iRCPrXvHL4bmDbDqNjaXquTdJzbZK+/mkKhQqVioVhmFRmWectuxo2vf5cXs/xEcXrz6WAJIooilQltlVlVFXG41GoqQnS3pags72Gzo5ampoiq3avFyo6bTVRRlM5NFlmZCaD7boYlkVN0I9fU+idTDGczDCRzqMbFmOp3NwiACDgURmcNnnv6iC14QCjySweRSaVL5EqlCnrJqZto8oSY+kc0YAXTZEZms4gixJDMxlGZo20SyOTdDfW4J8ds0VBQZXuvHoyXhtCr5hYpk3nxgYs08bjU9838uu7Ra3WSkhJkDeTiNy5Qe24DhW7QsbMULEr2Nh4RA8BOUBQDiKLa5usv+LWNY/C3kcXV/mtBa2C4ziUyguTARvqw+zf18nxkwPk7yJx2DRtvvaNEzzyUPc99dlxXfrSaVpCYcKah9MTExxokvHK8oKH3XVdTMvhzNA47TVRChWdU4NjtCWic4njqw2PIvP0hiqTsAA80d1BxOuhJRoBoDUa4ZM7N/P8lvUICPg1hbjfhypJ/L2H9xPxVlcErbEI/+DRg9QEfEiiyE9t38SB9mYkUSSgVeVD1hKO43Ll6gRHjvVy9tww6XSJUkmnWDKoVMwVVWZVV9A3pGLKADfdP7Iscur0EH6/RjDooaU5xoF9nezc2UZiDUPdgigQjvtpaktw9dwIuUyJM+9dY7R/hmd/Zh9ToxnOHx/A49NYv62Z1797hlhNkN2PrOdrf/wmdU1RPLeYbJPJAr/3+y+TTK6c520+nnlqC888vZWAf2mDWhZU6r2bKFsZUvogSX2QjsBBylaWvuK7jBTPoIpeOgIHafHtYkrvYbJ8hbQ5TFRtoWRlsJwyO2M/TUipoyf3OgPFoziujSr6OVTzS6iin5Q+yLnMt9GkIAVzipDSwLboR/HLd1e2fycolXTeeOsq37pLWpfrkCSRf/FPP0pDw40qZNd1CXjUOQ9b0KvNvQYo6Sad9TGC3jsXdV1r2LZDb+8UR473cebsMKlUgWJRp1jSKZXMZbUul2vLnq/itEQQQu4ROXlqEJ9XxefTaG2NsXdPB7t3ttHYELmnczm0sQ1Fkigb5hwf1fXrfP13aYqF+JmHthHxe6kJ+XFcd0EuWm04gE9TcV0XTZGJBqoEn6IgzPESaoo891qVJVoSEQQEvKrMzz6yk1jASzzow7BsAt67X7T+4GvHOXusv3r8eYbUr//zj+B/H+XarsN1y9jGKRyrH0ndgyB4EeW2BfvkzRTT+jBlO0/KmMAj+fHJy4fhXdelYBU4nj7OlfwVpvQpDMfAdqs3loiILMqE5BDt/na2hbfR7m9HFRePmzljlJTRj+XotPoPokorC3Wv2KhyXZdsqsjpd3soFw2u16I2tieWNLbuBa7jLqBtAJBliQ3r69mxvZW33r66zDdvjctXxjlxapCD++9ewqA3leJHA/04rkvU48WnKihLGEku8O61QV4+38N4Jo8kCrTEI0hruGqQRJG4/4ZL+PpUcz2cEvRoBJfxNLVEb+RpeBWFtlhk7n3I6yHkXfuHcmo6xzvvXOOd964xMpYmny9TKhlrXr1iWQ7ZXJlsrgzj0D8ww6nTgyQSQbZuaebww91s3NCIpq3+SkcUqwnPjuOQSxdJTuaobYqyfmszja1xei+OMToww/ptzaSnc7Stq6VtXR2xmiDRRBBZWV6NXZJFAn6Vt94ev6c+CoLAwf1dyxpVUBV9LZgzZM0J2v17sV2T0fI5Zip97Ip9koI5w2TlCoroxXQqlOwMCbWT0fJZOgOHGCgcpWgmCcgJajxdxLUOBEHgfOa7DBSOsj70OBU7x1DxBI/X/0MUwctg8TgDhaNsiXz4ns7vVshky7zx5hUuXb63a7hlcxNe70JP9c0et5tfe1UZjxp4ILRCp6ZyHDvRzzvvXmNoOEk2V6ZY1O/Ls5nPV+YW0iOjKc6eG+YrQS9dXbU89cQm9u7uuKvK7ligOlYGZw2Z6wbh/N/Cp6n4Zj1Hvlnv4vztiiwR8XvmPvfPW+TMb2/+a597o53meHXcddXFx14pRgeTHHpyM+3r6xa0c78rhJeDayerDOpSC441UDWqpJYFyeo+OUjcbQRBIKY24JeWzx90XIe3Zt7itanXSBkpynYZ0126MlNEpLfYy9HUUTaFNvFkzZO0+FoWXKesOUZUbUMVg8h3EXJc8R2YS5f48//6PXxBD2MDSZraE0yNZQhFVz8f5eacKqjebE2NUfbt6eDkqQFKpZUT9VmWw1e+dowD+7ruWn6vNRzmExs341cVQpqGIkoE1MWM7QKwp6MJTZFZX5+o5l4p8pquOG3XYqpyjcu516nYuTkOlgbPBnbFPrZmx71XTExk+e73z/L6G1dIZ4qUSsY98wTdCwzDIpmySKWLDA4lefPtq2ze2MBHnt/B9q0tq0bNAVApG6RnCnh9GqpW1YZUVBlRElE0GXCrZfzAvsc28qMXz/DuK5eQZZHOzQ2onuX74vdpPPLwer7/8nlW4EBYhKs9EwyPpKipCS5Z6FGwknxt6J/iuBYbwk/RFtiPbhcoWNOElFpqtC7CSgMzei8pfZCgUodXChHX2kgZQwTkGjQpgOXquDhkjFF68+8AAimjH02segsFQcArR2jybsd2DdLGEHlr8u5P7DZwHIeZmRxnzg3ffufb4NHDG/D5VqbssFbkyivB5GSOH752gdffuMLkVI5SScey3r9n0zRt0ukS6XSJsfEMZ84O09GW4EPPbuPQgS78tzD8b4fb/TbLbb+Tz5d7fafHvhN0b23i1W+fQpLEqtbfbJO/8S9fwB98/z1VYINbxHWyuG4eQYxyM6WCJCjoTpkpfYiilcETDOBlcb6T5Vp8aehLHEkdoWgV54SVl4ODQ9kuU7bLZJIZRsujfLTho2wNb0Wa5ckSEBktnUIUZDoDj6KutaCybdkU8xU+8YVHeeXrJ/jMbz7FxZODDFy5txXcUnAcl0plscWpKBKbNjawfVsL7x3pvau2L1wc4/TZIXbtaL2r72uyjFeR+WFfH1OFAuDyhV17aAotdFFWdf9UHMflj18/juO61IeD/NKje+7quHeCip3jvZkv0hHYS0jeOfe5X15dqY/Vwth4mu+8dJbX37hMMlVc8jd/P+G6UKmYVComqVSBs+dG2LG9lY+/sIvNmxpR7lHI2DQsLp4c4NQ7PTz87FbCsQBev4eJ4RTlks5w7zSO4xKfrUIrlwy6Njey99ENxOtC+Py3DgvJskhba5zudXVc7bl748OyHN472svGjQ2Egovz73xSlCfrf5ur+R+RN6dRRA+GUwLXRRQUBEFEFGRAwJmtnBIFeZZoT57V2RJwqXq7TqW/xqHEFwgrDZxJf4M5tzgCquhDFlVs20QQJJy7YD6+UxSLOidPD93VAm4+AgEP+/fenTfl/cL0TJ5XXrvID1+5yNh4mkrFWlFo737ANG2SyQKZTIkrPRO8+N3T/Mwn9nLwQNeqVHnfD7iui+PqTFdOkq5coGJPYTlFZNFPo/9J6nyH7ritS6eG2LG/i/XbmheIrGveB0BMGRCkBmTPU1j6uwhiDFl7mKW8G3GtkYhay1DpIqIgLpKLcXH56shXeWvmLXTnhsSUiEhci1Oj1eARPUiCRMWpkDEyTOvTVJyqt9NwDPoKfXxr7FtoosaGYDXPusG7jVrvJnLGKOJdVAHeRfgPHNtB9SiYpoXqUfAFNMrF1dfNujlR/ToEQaC9LcGe3e2cPjN0V5Owrlt85avH7tqoAjg3Ocmu+no2JmoQBWER6ed1WI7Nif5Rfu2J/aiytOZufNd1EQWJreEPLRCEfNBSd3XD4oevXOBvv3qM8fEMhmnf/kvvMyzLIZUu8sZbVzh7bohnnt7Kx1/YRX3dyjlUDN3kre+f4/LpQWK1IZ7+xB4OPLEJWZHY/XA3L3/9OP/61/8Uj0/lsee3s2lX9V41DZtjr1/mnZfP4zouB5/ewvOfOUgwvHShgSAIhEM+Dh5Yd09GFcA7717jUz+9n2DAu2gcFAWRqNpMV+Ahjib/mtHSOeo8G/BIISYrVzHsEhlzDNOpkNBurRWqOwVwXQJyDarkZbx8gUbftutntMS9vHYTfS5f4b0jfffczv59HUQi96/C9F5gmhbvHunlb75yjGvXJjFM6568nPcDtl0NEZ47P8LgUJJDB7r41E/vo6P9wa6YBBgqvMjVzJ9QNidxsMF1cHHxyAlCajd13DCqZsonGcy/WNWbDXyIWt+BBW3VN0dJTecZ7JlE8ylzz0prVw08CEamqwMaqv8XcZ0MuEsvVpL6GOOVPhzXolZrW7T9vZn3eHP6zTmDKiAHeKr2KfZG9xJVowvkbVzcKomwXeJq4SpvTL9BT74HB4f+Yj+vT79ORI3gFS1m9B50O0/GGGJn7HPIK6RzuAtBZZXdD69HAKKJIP/4U79POBbgoWe2rLSpO4Jp2liWgywvdIHLssi2LU1s39rM0eP9K27XdV3OnBvmzNlhdmxvuau+BTWN6WIJj5xGlSRawxG8S7jqBQRCXo2r4zNE/dWqj7ZE5K6OeScQBZmAnGBa76Nm/uR1Fzp/q43rJddXr03y1198lxOnBpc0nB902LZDMlXkb75ylNNnhvi5zxxkz+52PLOM2beDqsk884m9PPHCrupjL96oThQEgbrmKJ/9zaf42b/nVBNOZ7f1XhxlfGiGX/6d5+jY2IBRsfj3//ivefjZrcsaVQB+v8a+Pe189evHKBbv/npPTuU4d36YeMy/wOMiCAKSUA1rRdQmOgIHOZ/5DrX162j27aJopfj26P+OInpYF3yUZv9OxssXZ8VSqx4sAbHqsUIkprZS4+nmB+P/EUXQqPNuQJodrgSEOR6Z68KrVQ/Y6sOybIaGk/T03Gs+Gjx2eAN+n3ZH98d8b9D8hPabP1tNXH82R8fSfO0bJ3j1R5coFCoPvDF1MxzHJZMp8f2Xz3Pu/Aif/MRenn16Cz7vysKuS6H6GzhUjXhxwaL1bmC7Bmdm/iND+Rdx3OuOCWH2v4PrWty8YBAQKZpDJCunkEQPYW09mhSd2x6K+inkKqSSeYTkjfNdC9WTlcJ1HVwniW1dRJRbcOwxXHsUUWqEm55h06lg2CVKdp6L2XfoCuwkpjUiCRIlq8R3J75Lya7SBLX52viNrt8goSUQWZ4uySt5ORg7yNbQVl6efJlXp16lZJc4lTnFtvA29sX20iD6kAWNojUzl3KwEqx4JPIHPbzwiw/juvCJLxzmoWe3IkkSDW1rE1pyHIdKxSBwU9WCIAh0dtaye1c7586PUL4Lb1WlYvKVrx1j65amu+JAiXq8nJuaYCiXAeATGzcvoktw3WqUtykWoneW2yni866pUeXiMF3p42u51/FLkTmuoDb/Lg7X/vKaHfe2/XJdikWd737vLF/9xgmmpnK3/9IDDsdxuXxlnP/3f3iRjz63g5/62O7Zyi7xlvl6giAgyQKSvPR9JwhCNXRx08rSnPXm2baLadiM9E/jD3puG+YQBEgkguzd08Hrb1xZ2UnehNffvMLB/V0o85LjfVKMn+/4Q0BAFjxsCj3DptAzAMiyh92xT7E79qkF7bT6ds+9rtWqwtx1nhvFLg/X/OqSx2/wbuYjTf8GAEX0siH41D2dz61QKOq8/c417jUPu7OjhnVddYsWh9fhui6ma81VK1mOTckuE1FCaFL1+XVwKFplZEHCJ6+ufqjrVlMt3jvSy19+8V36+qdXtf33A47jMjKa5g//6HUGBmb41Cf30tAQuSe+K8ctk9ePYtozBLSdeJSuu44AuK7NpfQfzBlUkuBFk6KE1HUIgsR48bUlv+dTGgmqncxUTpAzeimawwuMqkc/vA1DtzBnOfokSULzKg8EpYLr5jD1N7D1N7CNMwhCGFl7BFg8flmuRZt/G3krSUJrJjQvfeVs9ixJI4mLi1fy8vc7/z61Wu0d5cMJCATlIM/WPUvOzM2FDy/nL9Md7MZ1kqSMPkpWis3hFxBFZUW/8crDf45LNl2kkK1qYLkumNhMj2Wob1n9kmbHcano5iKjCqoVF9u2NrN5cxMnTg6suG3bdjh7foQLF0fZvm3l3qqyZZIqlckZOrbjYNhVYc75l98FLo1N8cj6dgB0y2Yyu7YyNV4pxHONv7Poc+U+kKctB9t2mJrO8bdfPcbLP7xAYQ3Cxe8nKhWTr3z9OOOTGX7+sw/R1VmLLN87wezNWLe5ib5LY3zjz97CMm0kWeT5zxwgXndr1m9BEIiEfRzY18mbb129p2qtEycGSKWLBAKeOcPxdgm4a4W1PJbruuRyZY4cu/fQ38MPrScYWD73reLovJc8yfnsVVzXZV2gDa/soTvQQVyLoooKum2QNXP4JC+qqGC5NrZrIwsysihhOCa26yAJIpqoLtDLuxUcxyWbLfHyKxf40t8eIZ2+PUnwBwmlssGL3z3N2Fiaz332EFs3N6Iod+fZdF0Dw5oAQaRiDuFROrlb3bqccY2h3DdwXB2PVMOW+G/RHPgQkqCRM3qXNao0KY5faUJApGSOUbYWGsCZVJEffv0ER9+4Qrmo09Zdx0/9/EN0bmpEkt5fw0oUI6jeT+Joh5HkDlzXBtwlc6qCcpTB0gUc16FGW1ihdzl/GdOpOlL2RfdR56lb0VggCAJBJciW8BZ6Cj2MV8YZLA2SN/O0+buIam2MFo/flSdyxXdWNlXkv/6Lv0GSRLzzKiw27mzlY7/4yIo7cDssl6x+Heu6atm5vZWLl0Ypl1furSqXDL71ndNs2rjyhONDzS3sb2rGcRy+euliNVfKXXiDOI7LX759mkOzmlEl3WQ6X2TjGjIjC4gElDhlK4/l6oiCiCr60MTVl5a4EximRW/vFF/6myO8e6R3ztvydxFvv3ON6ek8v/z5w2zf3oJHu7Nw4J1CViSe/8zBu1Iv8HgUujpraWmOMTh094z4umHxzrvXaGyIfKCSrlcKw7Q5f2GUmZl74/fy+VT27G7D71++pN0reXgovpe4GqNsl2n3t/DOzHHemjlOSAmwOdSN4Rj0F4fZFFpHxszSmx8kZxWJa1HWBdq5kL3KlD5DTI3wRO0h/PLt87ds22F8IsOL3znNN799mor+YBWJrBYcx61yGxYq/PxnD7FvtmBgpc+mIGiociNF/Sya1oiwAlLKmzFa+CGmU0JAYvv/n73/jq8sP887we+JNydc5JyrUDmnrq7O7MQmRYqkJFMSRUtylGzN2mvPWrNr78oztndmbc9+xknBygwi1WyGbnZih+pYOScUgEKOF8DN6YTf/HFRqEIhFHAvUN3U8KlPk1X33BPuCb/z/t73eZ+n/P9OnefJVR2PLCnocgBN9pG3Yxj2woz/a399GlWV+R9+7+fxBpxcPHmL7/7xe/z2v/w5vP71zXCuHQIwQaQAgbAjCDuKonYuCqwsLCRJwasGUKWCBtjt8zOeHZ9vTtnsX7sP6W1UO6sp08sYy44xm58la2eZyt5gOtuDJMkYdhpNdgHLS9bci7WPiFKBS/Xzv/7IXKt3ARslgW/bglxueZFJXVfZuaOB02dvceHi2lueDdPi/IVBbnSPs21r3ZrWnUynmEqlyFsWU+kUpr24A0mSYHNNOdsbqgFI5fL0Tc6u+TjXAhuLscwNLkffIGqMoUsO6tzb2Bx4hIBWvaH7vhf5vMnFy0N841sfc/7C4E8dP6MYdN+c4N//76/xm7/+CEcOteNaBy7HeiEc9rJ/f0tJQRXA8fdv8PxzOxeUAP8mQYhCk8x7RWrh3Y1dOxuprPCvWRrBr/no8LUQM+IMpUfYFdxK1IiTtXLk7Dw+3cfesh2cmDlPX3IAt+qkXWvGIevz7eErwbJsBgYjfPs7J3nzrasbrjX1acCN7nH+5C8+wDBtDh1oXTUH8g4KtQhNKcewZub/XQxmclexRR6v1kSN++E1HYciOVFlNxlzCksszPpHI0kefmY7NY1lSJLE4ce38Npfn/5UXF8hLGxrBCt/FkkOYJu3EHYCRW3n3hJgxkpgC5OEMUPekcF1l7RB2kpjU3jfhvQQxcKtuOcFQLNWFsu2MO0cquwgbc4wnD5Dg2c/biXMaq/zmoMqTVPxBd38wb/5IeGqwLxJY8f2+nX3/oOCVtVKQRVAR3sV27fV0909XhS3KpnI8uNXL9LZWYW+hrTwTDrD2bExErkc2yqrCt5jS1hvfPngdoLuwgzBsm3aq8qX2ty6IWcluRh9hc3+R6l1bSFjxuhJfsT12DscLP/FDd33guPIm1y6PMw3vvUx584PPrD9fhowOZXgv/y3txECHjrcgcu1vhmrYhEIuNm5vZFXfnyxJImA7pvjDAxE2La1fs1ab/m8yeRMgmQmjzyn+hz0uQj6XaiKQjyZZTaeJm9YNNeVoa1jx1IubzIdTRHyu3CtoEIvBEQiSS5cLO2+VRSZg/taCRSRIVBlBbfiImmmsIRN2sqSNNLokoaNwCHrOBUHElDtquTk9Hkk4FjlIbT7WHFYls3g4DTf/s4pXi/SoP6nFb29k/zZX3yAbdkcOVyY9KwWsuTAo2/DoVSTt8YpJajKWzMIbPx625qbiAplKZkCmX3hZD4Y9jDSH8HjdaDqKjNTcQJlnk8FpwqRwTJuYBlXsO04kuRD1ffCEpOAMr2apBnFEgaqvHBiejfHSRLr87vE3B8QVDq3EM33U+veg654N5ZTlcsZjNya4gt/+2ECZb75XXk2KK0o5jhVK8Hp1Nizq4lz5wa4cm10zfvI5U3OXRigp2eCLV2rz1bpioJTVckYBpFUmpxp4tG0RfyS2wEVFNTO/SVYEKwGtrDI2xmaPHtQJBWH7KbS2UZ/6syG7vdu5HIml68M861vn3igAZUsS2iaMtdJV+iYY66rybIFlmVjPKD28JnZFP/tD95GliSOHG4vYla8/lAVmbraIFu6ajl9pr/o7QgBb71zjS1dtcjy2oKeyZkkf/aDkwyNz1IV9mOYheDps49so6YiQP/oNO+cvMnpK0P8+3/2BcpD62cRNDGT4FuvnOaFR7fT1bp81tYwLT4+2VsUpeBuVFcF2LSpBqfz/no3kiThVd1osoouawQ1P5qs4lFcuFUX07lZYkYCRZLxaV58qgdZUgjrIVJmGqfiQJc1epMDlOuhZcnslmUzPDLLd793mjd+8uACKk1TUFUFZc7njzmFcTH3bBY6vR8MNaB/IMI3/+oETpfGvj0tq3ZJsESaePYjbJFCV2sxrFlUpawosvpdvZxrXtcSeSyRRZGcKNLC98nRp7fzyrdPcO38AKqmkIhleObL+z8VhsqS7ENzfgZF24Qk+eaEPxePHxkriWWb1DnbiRqTi5b7VB8yMjY2U/kpOuks6ngSRoKMVfBF8qgeNFnDrfoYy5xHk1xIKGu+tmvPVOkqtc3lXD8/iD/kRZ4jvtU0hKmqLz4NtxzuV/67jc2bati6pY7eW1NF6VZFo2lef/MK7e2rz1ZdnZqkq7yczeUVfPPSJVKGQdkKpsQPCrKk4FaC9CfP4FXLMEWemdwQPvXB6LUYpkX3zTH+6rsnOXOuf8P2oygyPq8Tv9+Jx+PA5dTx+pz4fU5cTg1dV9E0BVsI8nkLI2+SzuSJxjKk0zmyGYNEMjtvtbERmJ5J8V/+4G0kWeLhhzo3hLy+VpSHfeze2cTZcwMllQQ++riHX/uVowQCrjX/plDAzeFdLTy6v4MrPeO8+MZ5JmeS1FQE2NFZR1XYT/fAQgKuEILpaIqRyRiSBH6vk4aqEIoiYxgWkzMJItEUiiJREfJSEfIiyzLpTJ6RyRjpbJ5UJn9fPbTbpb9ibbDuxv59zYTLPKuT2ZA1Wr13dPNCekH7LKD5aPLUA7Al0LFovQPhXXw8fY5NvlbK9CAXYtfmuwjvhW0LJibjvPjSaV59/dKGCHlKUkHo1OctPJdut47LpePzFT5z6GrBLUCWsC2bvGGRy5kkEhkSySyZjEEqlSOZyhKPZ8lm8xsyCertm+TF753B53WugVMrEJiochjbzpHKX8LnPIgirX3cd6rlxPM3SZnD2MJAZnWTLkvkyZkRDDuOU6lAUxYqjdc3l/Mrv/0kY0Mz5HMmNQ1luL2Okroe1xMCA8u4jrBnUbQuJMmDou1cwKmayY8xm59ARiZmTOFVQ3jV4PzyKmcV3YlubGFzOXaZQ+FDqGsMZ2xhM5QZYjpfoEKU6+W4FBemnUGWVHTFV7AWukd09H5Yc1Cl6wqbltB1cro3Rq3VFjb5/P2DJJdLZ9/eFi5cGuJG9/ia95PJGpy/MEhf3xSbN9Wsap0qj5dIOs2FiXEcqoJDVZbsYnjQcMgeNvmPcT32DrrswsbGo4bYEti41vPbsG2b4eEZfvCj85w6s3b9sPtBliXKQh6qqwLU1ARoaiynubmcupoQ4bAXj0e/L3fFsmyisTTT00mGhmbouzXFwFCEiYk4ExNxEsm1G3WvhOnpJL//R+8QDLjYvWuxiN2DhtfrYFNnNZUVfsYnYkVvZ3IqwYVLQxw7uvZZYi5n0t0/iaYq3BqZprrCT8i/PLFaCEE6m+cHb18ilsggKzIOXeWJg520NVQwPBHljQ+vk87mEQjqKoM8vLeNqrCf89eH+fhif8EAV4JYYgnH3nv2NTAwzc2e0oRSXS6dXTsaCQQ2XvBzs6+N3tQAA+kRdgQ241IWv+SFEMQTGV758QVe/vHFdefYBAIuqqsCVFT4aWkup7EhTF1tkKqqAH6fa1k5ibthGBbRaJqx8SgjI7Pc6o8wODTNxFSc8fHYurstnD0/gD/gwud10tgYXkXgISEhY9ozCGHj1Fqw7QzKEuf7fgjqm4lkzhDP9zCbvUKFa/991xFCkMwPMJO7jC0MvFoDbrXwvrIsm8hEjNhMCpfbQX1zObpDY2Yqzqnj3ew72lGwrfmkYccR1iiy2oFtjiDJXhRtB3dn7CocDYS0anTZSc7OoN/Tud7l6+Lj6Y8xLINLsUvcTNxkk2/TqjtehRBMZCe4Er8yH1S1eloJaAHS5gy2sEibEWxx/4TOvVhzUOVw6ew7tpm+66NEp1NoukJ1Qxl1G6RaK2zI51eXEt7SVcuWrloGBqeLevgikQRvvXOVttaKFVtuBTAaj9MSCjEUizGWTFDt8+FWtSXjWSEEs6kMwzMxGsNBbCHmTTw3Aoqs0eDeSYWjZd4uxKdVoq1RGXatEEIwPZPi9Tcv894H3es6u1QUmdqaIB3tVWzpqmXH9gaam8JFtUYriky4zEu4zEtnRzWPz2n0XL02yoWLQ9zoHqOvP1Jy19fdmJiI88d/+j5lZV6amzaWU3c/SJJETXWAHdsbSgqqAN56+yoPP9S55rlENm8yMhklnTXI5gzqqgLomnJv8+wCDI1FOXttmH/3f/scEhJvfnyDV9+/xm/8fJAb/RNkcgZ/7xeOMhNL8+r7Vzl3fZhH9nVw/sYIzXVhnj+2lZOXBpicXvm6mpbNO8evlxx0dHZU0VBfVrKN0WoQ1P3s1bcvu1wIQd6weP+Dm7z0w3Pr6qlZXRWgqTHM1q117NzeQHtbFe4iS02aplBR4aOiwjcvcxOJJOi+Oc7ZcwN090zQ2zdZsmXQ3Xjv/W6qKv185UsHCAUX82Lvhiw5cGubMexpbJFFklRUee1uCgDVnqMMJl8mY45xY/YPkSWNoGMTqrz0u8EWJmlzjOHka0QyZ1AkB0HHFjxa4TwN9U5y6vgNZiJJdF1l95F2ZEXi+vlBBnqn2Hmg9dMRVEluJKUaYRWSH5Jcs4hTpstOZvMTaLIDrxpEuUcYtMPXQbWzmlupW6StNH89/Nd8rvZztHha8GrLc6AEgpyVYzQzyvuR97kav4otbEJaiE5fJz7Vh0NuxrRzgJgTJd7g8l8ua3D6+HW6Lw5jGGaBMxT2svtoB5t2FG/5shwKpZvVRYsej4MD+1q5eGmY3r7Fddj7IZXOc+78IH39ETZ1LM+3EEJwcWKcxkCQfXUFDtb3rl0lmc8vaaps2jYf9wwyMhvHsGyS2TwPb27eULsaWZJxq0HccynTrJUkmZ8mpNdu2D6TqRzvvd/Na69fXlXJdjWQJKiq9LN9WwOHDrSxd28TgRUyGsXtQ8Ll0tm7p5ldOxuZnIzz4cc9nDp9ixs3x4lG10e35/LVEf7yWx/x93/zMcrK1o8nVAzCYS/bttbx3vs3imruuI3zF4eYiiSoqlxZJ+teBHwuDu5o4rEDnUzOJPiPf/4ObQ0VVJb5lnypCWA8Eqem3I/H5cCybBqqQ3xwro9s3iSVzlNR5sXp0AgHPbicGtPRFKlMDiEEQZ8Lh65SWxnA615+ciGEIJnI8tGJnjWeiYWQJIm9u5spL19sAvtJwLYFly4N8a2/OrFupe5wmYfNm2s5dKCN/Xubqaz0b0hpu7zcR3m5jwP7W+npneC9D25y+swtenon1yXbZlk2r71xmbbWSh5+qHNZ/psQFqY1i8BGkjQkYeBz7C56vyHHVmo9j9Ef/2umsqcxp/8DtZ7H8GpNGHYh8C8EUiNMZU6RMSeYypxmPP0eeTtO2LmTKvdhHEoQgJPHb5DPmhw4tomxoRneeOksmqZQWRPgK79x7FPBqQKQJCeSHMQy++Z4VUvrW1rCIJWPkjHjhB11OJU7kkABLcCjFY8ylZsiYSboS/XxjcFvsC+0j0ZPIwEtgFtxo84FY5awyNk54mac8ew4V2JX6En2kLNz6LLO3tBeWjwtpM0pDDuFV60gZgwvagJYDdYcVKWTOT568wpf+PoxGtoqSSeznHz7OmeOd29IUCXWEFQBbN1Sx+ZNNQyPzBT1Yh+fiPPu8eu0NlesOMM0bJuJVJKqtBfDshhPJTHspTNqli24OT7NppoKJmJJppMpEM3FNo0UhbgxwWjm2oYFVYZhce3aKD/40Tlm1ykIURSZndsbePyxLg4faqcstPE6W4oiU1MT5PMv7Gbf3maOv9fN8Q9u0Nc3tS4D+LvHb1BXG+Krv3hoQZYtkzVIJDJ4PA4yGYPy8NJBVy5noChyyUaxDodGc3M5LS0VXC2iueM2UqksH37cwxc+t+f+X14GmqoUyMrWbfuPxQ+GBJQF3UTj6fnGlchskrKAG11TcDk1pmaT5A2LRCpLLm8S9LlwaioSBQFIw7SIJzPkjZXHhUuXh5mYKE3tv6Lcx6ZN1Xi9dwK4mXiagMdJNJkh5HMTTaYp8y++p7N5g1gyS1XZ+gRkQgjGxqP8xTc/ZGS0dDkXRZHZ1FnNsYc3ceyhTqqq1i4XUQxUVWHzplra26rYsa2B19+8zMcne9claxWNpnnpB2dpbCijva1qmTKgwBIp8tY4QlgISiPVy5JKe+CXyFtRRlM/YTZ3idncZVxKJeqcpqBppxhLvctU5jQZY5ycPYuEQkBvo9n/BUKObfPbi0fT7Njfwq7DbXTtaeKDn1zhyc/t5siTW9DXWS+vNFiAgqx2gD2DbfaiaFu497l3yG5mcmPM2ON41dCCoApgX9k+RrOjvDX5Fnk7z0RuglfGX8Gn+qhwVODTfOiyjoSEYRukrTQz+Rlm87MYojCGaJLGNv82jpQfIaSHiGSvk7dTSCjkrDiCBxBUCdsmnzVp6qzG4dTQnRqVdUHGhkrTvVl+f2LV5T8An8/JoYOtXL4yXJQWTyqV5cKFIfoHInS0Vy35HVmSaAkG6Y9GOTkyjC0E1R4vXn1pXy9FlthaX8VELIkkQV0osCHtrbYwuRE/TrNnH1djby5YFjPGsZchr5YKIQRTkQQ/fv1SyfpHt+Fyajzx+Bae+cx2tnTVPXCqmqoqNDWW88Wf89HSXM6rr1/m7Pn+krvBDMPihy+fZ3NnDYcOts1/HouluXhlmLqaIJGZFJvaq8gbJm6Xg3zeRFFkdF3h1kCEgN9NWchNNJbG4dBQFJl0Oo/bpVNe7i1wh1aBupoQ27fWc+36aNGlWtsWHD9+nc8+u3NNZa5UOseJiwPMxtPMxjNUhn3UVQWRZZlz14boHZpmJpbivTO9NNeF2bGplubaMmoqAvzo3cvIkszUbIJj+9pxOjRa6sP0j0zzo3cvkc2ayJLElrYaPG4HLfXl9A5FePndK6SyebIrTLaEgDffulrcybgL27fVUVsTXBBs9AxPUV3mZ3Bilh3ttVy7NcHh7S1Mx1IkMzlCPjfpXJ6xSJzZRAbTsjFMC01VSKSyIElUhbwrcs+Wgmna/OBH57lwcbjk3+V26xw60MazT29n+7Z6HJ9AOUlVFQ7sb6GxsYzq6gCvvX6J6ZlUydu9dn2UV1+/zNd/NYjPt9gwXJJUHGodsqShKdXYYmVu3mrg0erZHPpNnGqY8dR7JIwBMtYEt+M1G4Okcad7WpN9lDl30Oh9jir3UVT5DpcrlzF477XL9HcXuIAzE3G6Lw8zNVYo8X/uq4c/HdkqyYuq70UIA9u4grCnF4lmA+TtLBYWCDEvd3B3Kc6luHim+hkAPpr+iJgRQyCIm3Hi5v0nRV7Vyzb/Nh6vfJwGV0PBEN7RimGncSg+wlYb2jKl2JWwdqK6Q6O+pYIf/On7VNaFyGbyTI1Gad28OnL3WmELsWYF7h3bGujsrGZsPLamLBcUru3w6CwffNhNS3P5shmBrZVVhFwuxhJJVFmmNRTC51i6rCBLEm2VZVT4PNhCEN5APlXeTmPYGa7F36bFc4f4mLPTqNLGDIDpTJ6PTvRy4mTpdh5Q6Bz63PO7+MLP7SFc5v1Euf8ej4NDB9uorPTj9zt574NuksnSyifRaJrvvHiKlpZyqioLfAxbCKamk8QTWTxunbHxKNMzKQJ+F3nDwu3Wqa0JMhVJoCgy0zNJpqYTOHQNh0PF5dBw1Abv9V5dEYGAi87OasrKvExPF2edJAT09k3Rd2uSTZ2rGwP8Xif7tzUyMhnDNG1CPheHd7ZQXxUECpldl1PjuYe34tBV7DlRXa/byc9/Zhfnrw8jSRK7Ntezq6seRZZpqQtj7WundyhCwOeitSFMS32BeHxwRxNul040nqatPkxNuX9ZmYaJyTgXL69dRPhuOBwq27fVUx5emGmKJjL0Dk+jqQrbWgUTs0mEEIzPJBiamGVzUxUD4zO4HDqTMwmcDhW3Q2d8Ok4qayBLElJb9ZqDqkuXh3ntjcsl/SYo3C+PP7qFz7+wm/q60CfaTSZJEtVVAX7xywfweZ28+NIZpkrkQN6WCTl8sI09u5uWHPuFMMiZQyiyH5n14aj69GY2BX+DkGM7M7nLpIwhsuYUpp1GYCJLOprsw63WEtA7KHftJaB3oNzDkd1zpJ2+G+Pz78ujTxc4drf//clLf85BpLGMywg7gRApZHlpPrYsKXjVIEmWz64GtACfrfksVY4qLsUv0ZfsI2pEV9y9R/HQ5Glii38Lu4O7qXZWzxPcNdnJdK4Hj12OQ/EXJZWx5qDK5XXwyAu7OPt+N2ND0yiyTENbJbuOtK9556uBEAJjjdolfr+LwwfbuXp1hJHR6Jr3mUhkOH9xiIePTtPWWrnkd2RJot4foN6/MklRCIFp2XSPR3hqWzuxTI5TfcPUlflXnVFYLWRJocv/OKbI0e49zK6yz80vm8jeZDRzbV33BwU+Qn9/hJdfOU8mU3oa3u9z8qWf388Lz+1adav+TG6Mqdww1a4WAlqBBN6fuowQNrWuDhwrdOaMZXoZTndjY3Iw/MKS31FVhbbWSr7ypQPouspb71wjkSi+Q9C2BdeujfLKjy/yK189gqoq6JqKrilEY2m8HgezsTSZnIGSktEdKql0DkWW8HocKLJMJpPHMm1Ul0Qua9BYX0ZVhX9NLzpFkWlqDLOpo5oPp4vnEGVzBsff615TUPXI/sXSALexb+vyNIKm2jKaahdzMJwOjW0dtWzrWFzeLgt4eGTf6sanEyd7SSRKC5obG8K0NFcsyuKksnmcuko0mSFnFARQp2KpglaTEExFk6QyeVwOHdOyyeZMVFkmkzWQJZBl1lyCjsczfPOvThCPl5ZV8ftdPPv0Dj73/C6qqjYm075WSJKE1+vk+Wd3IknwjW9/TDxeWuduPJ7hhy+fZ9OmGvy+pbwaBZadIZW/iiaX4dY3LbmdtUJX/NR5nqTKfZi0OUbOnMYUWYS4HVR5calVOJXyRcHUbRx+YguHn9iyLsez0RB2DCt/DkmpQNJ2LCKqp8w4aTNO0oyStVIryhq4VTcPVzxMu6+d/lQ/k9lJIvkIKTNF3s4jhJjTn3JTppdR6aik0d1Irat2yS5ZhCBqDKGYOpXOTajS2jxz1xxUqapC86YaqhrKSMym0XQVb8C1YQ+ZEGDchwOxFPbsauR4exWTU4k1Z7qEgIHBaT4+0UtzU3lJMzIBXB2Z5N3rt8ib1ryVTbHO5itDKijPCplN/mML2lDDegPODfD+S6ZyvPHmFW71R0relq6r/Nzn9vC5z+7C71u99lHezjKS6QYEAa0c087Tl7yAVw1R51653V+TCwPnhdl3lg2qoBCANDaE+cLn92IYFm+9c62k9u5szuCtd6+zY3sDe/c04/U42LOzkXzewunUsG2BJBXOyW0dJqdDo6mxHFWRKQ97yWTyeDwODMMiEHDPuxusBTXVAbq6ajl15lbRnoymaXHidB+/+AsH8S1hfP7TAsuyefvdayVrN+3YVk9tbXBRhnVrSw1lfhfj0wkcmsr+rkYcqkJteQC/x4EsyVSGvFi2IOhrwuVQEQKqynzYovBSCfnW1rr/xk+ucPFSaZk3l0vnyce28MLzu6iuDnyKuDm3AysHTz25ldlomhdfOlOyt+iZc/2cvzDIQ4fbF2WrJDR0tRqpCIe3+0GSJDTJS0DvAH35ScdPO4TIAnlU5zGEHUPYo0A7d3OqFEnBpXhJmrNUOBpwKcvzCyUkFEmh3lVPnbOuQEg34qStNKYwEUKgyipO2YlP8+FW3CtKL+iKl1h2GFPkCDtaUdmgoEoIQSqR5ez73WRSOVq7aunYVk8qnuHk21dJJ3M8/eUDa9r5avdrmmsniwUCbh463MG1G2NFkU5jsQwXLg5x5HA7LSXIRUhAyONiZ2M1daFCdqrc597QmZ4iqQT0hd2Ld3cCLoVENMXVEz0Ewj48fhfltSFc93lBWpbNrVtTvPv+jZKPWZLg6ae28dyzO/F51yYmGdQrcSk+IvkROoRN1JjCxiKoV6JJDqL5SXqSZ0kas7hUH13+Q/jUMiRJptxR6N48N/vGffcjyxL1dSE+99ldJBIZPvy4t+jWdCFgciLGyz++yJauWlwunbaWyruWF17s0pzq9O2/e+ZMzO/9vFi4XDrtrZXU14WKDoyFgImJGBcvDfPQ4Y3JWD8I9PZN0ndr6v5fXAGhkJtNm2oILqFN1dlYGEfKg4XS496uQiu8EIJwwL3ompZ6fSen4vzolQtrpkDcDVmWOHyojeef20l11cZ095UKSZIIBtw889Q2hodn+OCj0jo3MxmD7//gLPv2NKMod8R6hbDIW+Mkc+fQlRokScVNJw+04+hvAIRIY9txNMcxbKMbYY1xb4OKKQwyVpKcnUG2ZCxx/wmsZduMzySIxFLUhP00B5euMt0PWSuGhIKMAktwue6HVadgTMPix9/8mCunbxEZj/HOD87xk5fO8N0/fJdLJ/oIlm9Mi3ixQRXAvr0ttLVUrkp0bqn99vZNcvLUrXlORzGQJIn6cIBt9VXsaamjq65yQ6UUAEw7z2jm+oLPMlac6dzyM9Zbl4eZHJomPpPk5vkB4jPJ+87YM5k8b/zkyrpIDuza2cgLz++iPOxdc8DpkF34tTB5O0vKjDKVG8IhuyjTqzFFnkux4xh2nhpXG4ad42rsQ7J2ccesKDKtLZU8+/SOZRsZVou8YXH1+ghnzw8sWiZJ0vxgvpq/FwtJkmhuKl916W455HImx9chuP4kcfz9GyWLS3a2V9PUGF5Td+ZGXd8337rK6Fi06PUBNnfW8PST22hoKHsgHX7FQpZlamtDPPP0DiorSu+avHJtlOvd4/c0cEjIshtdqcShNuBUm0vezycFIUyEUXpDRjGQ5TIUpREz+ya2NYqsdXBvYKpJOgG9ggb3JiocjWjS/Qn2hmlxbWACj1NHkSV6RiJc7Bujb2yaszdHuNQ3xnT8/uO+Q/bh0ypBkovioa0+qDItTh2/wWe+tJ9HX9hNQ1slr3/3FKFyH5/58gF2HtwoThXYVnHp3EDAzcNHO4tWNI7G0ly4NMjQ8ExR68MdTlXvxAyWbZPI5jh1axhzHcX37kXeTtMdf2/BZ/H8BP2p08uuk4ymMA2bdCLDSN8E2fu0KVuWza2BCO9/eLPk4w0G3fzcC3toWpWi8WJIkkyZXo0qaUzlhpnNj+OQPQS0CmJGhIQxQ62rjU7fPjb7D3IrdYmcVXwgqGkKO7Y38PBDnYSCpTUdzMykeOMnV0inN8Ym5zYM26Q7PsyrY6cYSk8ymrnTpRku99LZUYXfX3zp7rakxth4dB2O9sEjncnzUQmZRygE3Fu6aqmrXX+7rrViKpLgrbevFkWduI1g0M2jj25m69a6dTW13ijousqWzTU8+sjmkreVz5u88eblBRNqSZJRJB+KHCRnDmDaM3xSWSohbLLmDPF8H3mrGAFfA5F/cF6wCyEjRA4rfx7LuIRtTbBITkFxU6ZXU+VsptLZiL4KxXpVUWiqCjExm6R3dJqhqSi6qnDu5gjT8QIvazSy8rlKGOPEjRFm8v3krULzzsaJfwrIZ/K0dhWIoJlUlg/fuMwjn92FP7SyCm0pEAJMqziOgyTB4YNtvDmXTVnrgGnbgu6bE5w5N0BjQ7io3yiAM7eGeetqLzOpDJIEZZ6NKv8JsmachDlFND9KfM6I0hYWU7lb8/9eCp17mjENi6nRWVq3NhC6T6o/b5i8+vqlkgmwAM88VWjPLkV5OqRXo8sOBlJXUGWNsF6LKukYdg5ZUtBkB5Ik41GC5O0MdhH6I3fD43HwyMObuNk7wfH3bhStYWUYFt3d45w8fYtHj5X+MlgOKTPLxVgfIc3LSHoagaDaGUKWZDRVob2tkpbmCi5cLJ5/E42mOXX6Fp/77NKCiDdO9fDGX7xHfDqBosp4Ax6e+OrDbD5QmJBl0zle/aO3OPTCXqqbi0vd343psVnymTzh2jL0+xgaX7w4xORUvCQXgLraEG0lqImvJ37y1lVGx2Il/Z7dOxs5uL8VzwpiqZ82BAJuDuxr5f0Pbpacpfvw4x6mIgmqq+7wyAQGlh3HrW9Blj6582KJLMPJHzOU/DHtga/S4Ht2bRsQAmHPYKX+EEkKgBxGdj6+MQd7767tWYQ9ge75KqAiFalIv2i7QhBP55iYTaDIMg5NYTKaRAhw6ioep85MYuXJtEPxU+Zowc6ahFzN6BspqSCEYLB3kn/2S/8FgGwmz+RolH/9D/4UgJ2H2/nlf/yZNR/AKvZc0uzR73fxyLHN9PZNEY2tPTsxO5vi4sUhDuxtob5+aeXXlSABndXlPL97Mx1V5ciyhM/p2JASoMBmItfP9djbTOZ6eHfyD+eOQcKl+GnxLu8tlcsYNG+tp2t/G9Pj0RX7b4UQzM6kee/90g1nm5rCPHSkHb9/7aa8d8Mhu3ArAQZSV6l2tlKm1yBJEn4tjGHnSJqzWMJkJNONX6tYF3mJ6uoAhw+00dMzwfBI8aKKkekk773fzZFD7ej6+hNgASxhkzQyeFUXE9lZFElaMANrbq6gs6OKS5eHiw4Qb2d7nn9255IZx1gkgbBtHvr8fqqaK1A1hcrGO3xFTVfZ/+xughXrM8j2nu8nPpPk0PN77htUvfvejZJdADZ1VtPctPbJlxAFUcmU0YdLrUdXVj/O5KwpFMk9LxYJEE9keOf49ZJKmdXVAQ7sb6WmJsi7r1xEliV2H2nH61+cMUincnzjP73Jr/7jp9Edq7t/DcPk3Ac3sSyxrh1riiLT2Bjm4IFWvvf9syVtK5HI8uFHPXzx5/Yu+NyyEySyJ9HVOjTlk7GcskSOpDHEbO4KWasIbUBJR3Y+DSIDkgrSxvtTCmGDSGLbowiRBiQkyYW0itLeaqDIMm21YeorAiiyjCxJ2Ai2NFWhqQq6qlAZXLk0nDVnmc71kTQnMUUer1qFrqxtTF71tx0unX/7F3932eW+DTINFYKSOU3Hjnby2huXiScya35h2Lbg6rVRzl8coq6ubM2aSZIkUeZ1U+nz8PqlmzyxtY3JeJKQZ+0GnPfdFzJVzg402YUp8hws/6W5z0GVHCsS1Yd7JgjXBGnsrOHG2Vv4yrz4Qp4lXxCWZfPRiZ6SZAVu47FHumhsKK7sdzckSSbsqEWWZBRJJagX+E4uxceWwBFuxE9yMfousqSwM/go7rlukncmvsV0foSoMcmrY39InWsT24MPr2qfiiKzb28zZ872MzoWLSlb1T8Q4Xr3GDu2LTYrXw/4NDcHw11cjvXjUnV2BlsXXFuvx0FHezVVVX7GxorzA7Qsm8GhaW7eHGfz5qWV+71BDy3bGmjsql/wec+5W3zw/VPcujzE3/7Xv0jj5rr5Zd//T69SVhPi7E8ukc/kOfjcHo596RDpRIaTPz7Pxz86jW0JGjfX8eyvP47b7+L825f54X99g0Q0xenXL9C5t5WHfm4/VY2Lm06mphJcvjJcUteY262zqbN6Wbsew44zkXqVtDFAteez+PROJOlOZlYAWXOSvDVDhfvRVe93NnMSj96BT7/T5Xru3AATk/GSuhhv+2tqqsL0RAxJljCXkbZxODWe/cpBVG0tch4Km3Y2ltxpuRRCQQ87tjfw+ptXSrbk+eCjm/NBlRAmtp0m4HoEW6QRRZjtrhdsYWCLUiRsJCCHnf8A2fEEiI2lHxRgYlvD2EaB72vlzwAystqO6ji4pi29H3mftFlIkjxR9QSKpCDLEgFPgcKw2kaP2fwsI5kR0laaKkcVFY4yalw7qHJtQUJGlddOiVh1UKUoMp3bN2bAXxmi5AfP73fxxGNbGBiMFCXcOD2T5MLFQfbsbqK2Jrjm9U3L5mTfME3lQcZjSaYTKdqrwuuuUwUSTsVLpaOVfWVfotzRtOo1bcvi5tzMvu/yEHUrkLAty+aNdVCdbm4qZ8+uRrzr1IZf6WjkM9VfR5X0+UyULMk0ubdQ4ajHtA1kScGjBlHmlu8pewpLGBwTX0GTHOjy2oLdYNDD/n0tXL0xxnAJ3LupSIJTp29tWFBl2hY2Np+p3kvSzJCxFj4HkiTR0V5Fa3NF0UEVFHR+Pj7Zt2xQdfWjbi68ewWnx0lDZy3P/O3HadvZRH1nLY9+5Qjdp/+c3D38sqmRGS4cv8bX/tWX0RwaLm/hGkUnY5z7yUWe+fpjlNeVoagK3jIPmqay7WgXg9dHiEUSPP5LRymrDuJbxubo5Ok+YrHSytgtzRW0tVYuS1BXJQ8erQ3LTuNUq7FElqHYN5FRKfc8ilOtQVMC5K0pbGGSyvcSybyHQwnj1TtJm8PkzHF0JUzAuZNUvoeMMUzWHMetLXzO3//wZknBRFnIw7Ytdavyc7xwopfjP77IaP80/+q/fg2HUyafN/nojSvMTCb4wtePYlk2V8/2c+qdG/zq//AZZqcSfPDGFS6d7OPAo5t5+kuFDHoimubNl84wORollciSTuZ47hcPsm1fC7pD5eq5AX7yvbOk01kGbk6y92gHX/udp1HvoQ3cNl/v7Kjm3BJNIGtBd/c4s7Mpysq82CJDNPMukqRg2WlkScOpNZe0/WJhizzWMkHV9GScD964wmDPJKZhzhcd/s7/+Dye+bE2j8h9hKS0IewpsKNI2iZgI7lzGrLagiTf6UwX9jSw9uDwrcm3mMoVOnUfrXwUZW6CcncAtZqM8WRukjcm3mAgPcDu4G6erX6WSmdp1IONqTWsM0qdzEiSxBOPdfHyqxdIpSbXvD3bFly6Msyly8NFBVUCyORNEtkc8UyOmVR6QzsAFUmjwtmypnV2P7KF/msjTI3McPi53dS2VC5tbDvXFdnTM1Hyce7f10JtTWjd+GWqrOOXF6fjl/scwK+FS9qnLEvs2tnEO8dvlBRUJZNZrl0bZWoqQcU6dC/di4yVozc5ytZAM0kzw3A6Qou3BuUuvZb6uhDt7VWcOTdQdOkolc5z9vwAX/nSgSW5Re27mjn4/B5q26vRdBVPoBDoOD0OymqCaMuU6Tr3ttLQWbtAi8vtdxOuLeP7//k1HvvFh9jzxI55jzNfyIMv5MW2BFWN5fiWMbAWohCEpEsUru3sqKKlZXnpFUlSUGUviuRGkRwYdoyMOUxT4Gu41DpAIM290CQUXFotQXsXSeMms9lTaLKfoHMPGXOI8eQreLU2ylyHiKSPLzB9HRya5mbPRElZt9bWCrZ01a0qe7xpRwPBsJf/5R//JWIuU6uqMvWtFbz6nZM8/7cOkk7m6L06SrDci6LIhCp8PPzMdpLxNLG77GUsy+bGhWGqG8t49isH6b48xJn3u6lvqaCyNshf/be3+dJvPEJVXYj/8LvfZfuBVpQlOrslCSor/GzZXFNyUJXNmZw9N8CTT2xFkhz4nHvRlEpskcWyS7fGKRbWCpmql791AtsW7DjYgn6XAO0CaoEQINIg4mDFwI6xhr61ImFimwNYxsU7h2FNIslhFG3rmraUMlMkzeJcIO6GJmnk7TwxI8ZQeoh0CQ1Mt/HpD6pE6UEVFDwBn35yG3/8Z+8V5d82OZngwsVBdu1sXNUM7m7oqsIX9m3l7au9KLLMczs3bajeiyRJ8wP0bczmRojk+unwP7TkOjOTMS5/dJPRvgkUReFzf+dxGpZps3/3vRsl8dygQPTesb2BUGjja/kbjbIyD12ba7h8dYRYEbw9KNzjY+Mxzl8c4Kkntt1/hSIQN9K8N3mRlJUjZWaR7+lqURSZzZ01NNSHuNmzfFPDShBCMDWV4PzFQY4cWtwRrLt0yqpDVDasjYviL/Mukhjwh7188R8/x8DVYd578QRn37zEL/7zz6+J5N7bN8HAQKSk+7my0k9HezV+3+ozrg6lkkb/VxlPvkzYdRS/4w6vyLBnmc58gC3yyJITw4rhUKpwKlXkzAkMK4qkK+hKBYrsXOCZduJkX1Hc0dtQlILERnPT6iYbTpdOsMyzINiVJIlwpZ/q+jKunOmnrMLPwM0JXvjlI0iShKoqeH1OXG4H1j1yOQ6XRvuWWupbKzBNi8unbmHkC+N1dDpJKOwlXOnH43Xi9izttQrg9ztpbCxH05SSAkzbFpw41VcIqtBwqi1IkoIQPjR55XOUNsbJWaUbWC+FpDFAbhkuVSaV48iTW9m8s2FBU92CLKrkRHL9PCL3E0BDcj7HhncyiizCGi7Y0shBAGycSJ+ggY5LcaHLhcnfTH6GrFU6peXTH1QtgaVqpfern0qSxDOf2cYPXz7H0PDab3QhBOcvDLJvzwiVFb41BUWmZfHm5Zv0Tc1i24KcafL1Y/s2wNNOYAsbCWmRu3baijKdH6SDpYOqnvMDtO1o4LlfO4asyGjLGKUKASdP3Sr5SHdsa6CuNvipFBNcK2RZYveuJj74qKfooAoKZearV8d48vGtK56X29f4jiihwLDzaLK+7Hoh3cuzNQe4Gh+gTPdxpHzxPiRJYvOmGlqaKooOqqAgRXLiZC+HD7YtczyLB1HbtrEtMSehIrAtG0m+K4haYjO2aWPmTTr3taE7Nd7/3klGesbngyrNqWGZJplkFs+c4vy9Y8ZHH/eWzA1say2Q/FfslrWiRNLHSeRv4NM3ocheIpl3Me0ktsiQyN9kMvU6tsihyn5MO03GGEBV/EiSgiTJFDIJEl69naw5Six3EVvkCDh2z51DwZlzAyV5U1ZVBuhoryqpYUKSJFweBzsOtfH+a5c49MQWbFvQ3HF/XTfdoaE7NGRZQlYkbPvOpPqFXz7Cf/yfXqSsykeo3MvmXcvbGUmSRDjspbY2xMBA8W4PQgiuXhtBCDF3fe8uM61cKuuNf4u+2F8Vve+VYWMvI4hZURtkJhInlzVweZbqUBSABXYMyf3LBbK6Pb6kqfG6QvKg6A8ViPFzWTFFbZ5TWP9koMs62hwVJGtlMdeBJ/dTGVSlzEGyZoRy152ujGj+Kqrkwqe3Lrue1+vks8/t4o/+5L2iVIbHxmOcuzDA9m11VFSsPlulKQq/cnQ3toBIIsW71/q4V0F2PWCKPC+P/Bserfq7fGvgn6Le1VVhiCz1ruVTrJ6Ai1gkwWD3GLpDo7qpAvcSM++x8SjDI8WXuW5j69ZaKioenEJzLm+iKjLyXS9W07SwhUBTlZKPo6O9itqaIDe6x4omrOdyJsOjM0xFElSucH+dmP6QWlc9De7CSyVqRHlx+Nt8qf4XCepLayRlLYOL0T4uRPsQCCZzUT5be2jR9wIBF5s21XDm3ADTM8Wl17NZgxvd40xMxKiuDs5/rqiFYF1agkv44z96izNvXOTWpUH++//zm2za18bP/85nCZT70B0qqrZ4qIqMzPDf/tmfE52I4/Do7Hx0K10H7th7bDnYQd/5fv7d1/4Pdj22jad+5RjVd6nW53IGJ0/3kbqPJttK0HWFjjnBz5WgyQGaA397Tp25EBy51Pq54Ljw2/xltyU1JITTRggbeZ7MLgESFe7HAOYmTbeVngvfGR6ZYXIyVlLWraYmSGtLxaLnwTItchmDTDqHLMtouoosS+RzJrmsgbAFuaxRuMa6iu5Q6dxWx0t/+gH+oIc9D3Ugz5UTLcsmlzMxDQvLsslnDRTtdrCy/LFFxmMce3Y7x57bWeBRrfCYSZJEKOCirjZYUlAFBXeNsfEYtTXBucm7hcBGQp6/dkuhwHsqXXJmrUjGMrz0Zx/wp//7G3i8znl6xe/9/tfxB92FIFWkEcZZJK0d7CgidwLJ3QqU3hW9PCSQHBQuXOH+FXYSYcdBKU18uFjI0h3F/JydwxKlWRzBT1lQVbihbZLGIPH8Tcqcu24vYSZzDqdatWJQJUkSzz2zg5d+eI6xIjVMzp4bYN/eFh4O+1bNBbKFYGg6RjpvMJPKEEmmsW2BoqxvQKFKOk/V/GMsYVDv3s6xyl+fXzaRvcnYPSrrdyMQ9jPWH+HSBwWZhIc/v2/JoOr0mVtFBw234fe7aGosx7vkLGoxbl93IYy5QUwGxFwa3kJgznlx3VaiXvzS/l9//w0++/h2dnbd6Sp7++Nu+odn+LUvHSpZ3FDTFNrbqzh3foCZ2eK5FpHpJD09kysGVYqscGLmQ25nJl8Z/yG7gntxK8uXUlNWlrHsDH+3/Xl0WV1W0E6SJLZuqaOxsazooAoKWbdTp2/x2ed3zQ9ae5/ayd6ndi75/ed/80me/80nl1z2q//yK0t+Xt1Syb/8zj9Z9hjqOmr4u//bry67/Nz5QaamEiU1wjQ2lLN5U819FdRvZzbuPuvKCjpHEvIycy7pzvJ7cP3GWElZKgmoqvAvEi91ODXefOksb//gPJIs076lll/6B49TVRfiO3/wLr3XRsim8/wf/+p7dG5v4Mu/+UjBky/gZtveZvq7x/m5Xzs6v73uS8O8/I2PGZ6zBIpNp3jshV3UNoVxeRxoeuFcKoqM2+tAVmQMwySfMzn17nXef+0ypmFx7PmdfP5Xjiz7e7xeJ+XlpfMTLVtws2eC2ppgIauYO0XeHEFXagjOBbkrQZN96EoIeR0DFkvkyFszmGJxZvyFv3WIz3xx76LPPfPjuYXIvY/IHQdrGCQXaHthHWRmVoaJbY0hrDFs69ZcQDWJLNeg6GvjVK0XkmaSjFUIfGVJXhdP3jUHVevhN1YsbJEjY42TMvrJmGPM5i5QcA3PkTZHcan3Ty97vU5eeG4nf/Qn7xU1oxsdi3Lh4iBbt9RRHl6dNY8tBDfGIwxNR3HpGk9t6yhZQmBpFLr/DDvLFv9jeO6SUPBrFaTN5cueHr8T3aGSitpYlo1YQsZCCMHZcwMld2O2tVas+twVYJEx+sgY3bj1zWhyOXlrApfWQcboIZW/gtexC0XyAAJNqVjQrg4Q9LtJpXOkMnmyOYOg3830bIrKci8SkEhmyebNgvyEKuP3FkzCTdMikzVAKqgsy7KM26XjWKI8sqmjilDIU1JQNTOToqdvksOHFpfObGEjEOwNHcAWNj+ZfIPJ7DjPVH+WLv9WNHl5vRdNUnApOldi/XhVNz7VRZ17aV5Ta0sFLc0VXLkyQr5IPko0muHs+UGeeXo72hJZpk8atm1z4nQf8UTxmQRJgtaWcjpLtCtaDwghCkFVqvhSitfnpLY2iMu18D56/pcO8fwvLc5qAnz1t55YdnuBkIff/B+fX/R5165GupYp3X39nzwz//eG1kr+3u8WTM7PfnCTRCzNv/qvv4bH52R2KsHv/vofrRhUebyONY4zS8OybHr7Jnnk4U0IkccWGco8n0VaZZBU53mSTaFfx6PV3f/Lq0Qsd5OrM/+ZsfQ7i5aFlggkU4nsXfZHKjifRlLbkLTNc40OpWdo7gcJFVmuwhYGkjWG6jyMbQ0iHoicw2LYwmY8O07UiAIFfpUqlz5WrXkLpmkxNjCNP+jB7XOg6eoDC7AskSOau8ZU+iQZc5ycWUjrypJGmXMXIeeOVW3nuWd28OL3zxCJFDcTP32mn717mik72LYqPyxZkgh73XSPTpE3LaaT6btq9OsPTXbS5N2z4LNyRzPljuZl17l+5hbZdI66jmrG+iexbbHoGE3T4sq10ZIbB1qa1xZU2SJLIvcx5d4vYdsZ8tYEOXMIh1pH1uzHsmMgLOK5DxAIQu4nUKXggm2Uhzwk0lnOXh7kL186xb/4h88QmU2yt64RAbz89mXOXhlCkSV8Xhe/8QtHqAz7GB6P8vLbl9E1lZHxWYJ+N08+tJltmxZLBrS1VlIW8tBbwrlJJDIMDkbIZIxF3XOR3BSxuQEgrJdTpodxyoVsx2C6n2ZPy7IeWZqs4Fc93EyMAoIGd+WyQZWmKWzdUsfpM7cYHCqu1GuaFkPDM9zsmWBL1/q9TNYLkekk166PFdW0chvBgJuO9irC6/DiLhWZjMGt/khJgp+hoJuaIrqbHxRkWSIyHiMZz9BzZYSmjuoVv+9y6gQDLiSptGYn2xYMDBZI4YVMucR06oc4lNpVZapU2YO8TgKXtyFLOoq8ekX3l/78Q77wtYdwe+6U34SIF0jiIgVWD6i7NphTJQEqslKDrDaCyBWaZZbJkAkhyNv5Jd0vxF2134yVWVPZTgiBKUwi+QgnZk4wlhkDoNJRuWK2f7VYc1CVmE3z+//LD2nfWkfX7iZqm8vxBz14fM5FeiHrDV0JUO99Fo/aQMocpt77zP1XWgKBgJtnn97Bn//lh0WtPzQ8w8VLQ3RtrqVsGe2bu2FYNid7h/g7Txwgms7y4ws3ONzeuO73r8BmJje87HJdduFdRkIgWOGnsiFMdDJOOp7FNKxFtK+RkdmSPepkWaKmJoh/CWXm5SEBMqncRbLGLfzOw1h2CknScWntKJIbp96GJZLYIociLX7JhUMeYokMvQMRqsr9jE/FmIgkqCz3ocgSR/a2cmRvG5lsnh+/c4Wzlwd55pFCSjqeyNJYG+J/+q1nVwyi/X4XFRU+dF0hny9u5icEzMymGZ+I0XpPi/71xDWuxC4uWuej6fcB+GrT15bNVknIOBWdwl0iMO8zCG3tqqW+royh4dmiM5PT00nOnh+ka3Pthk+8CmKIhfKwEBbqffTGzpztZ3amtJb4hoYwW7qW1uN60BgcmiYez5QUPPh9LirWoVy2Edi+v4Wbl4f53p+8V7Adcel87XdWdvCQZQmHQ8Pp0ArZ5iJh2zZTU/G5jI6Ez7EPy05i2qvTc1NlN8o6B1WKpC8qH89MJXC6dRLRNOl7dMq6Lw1hzWWdC2yKCORPIpQasGcRxhUkdTsbyggSAmFHsc1rKNo2zNz72OYtFP0AslLNvfXuvJ3nYuwiE7nF8j13Sx+8M/XOvE7VamDYBrP5WXqSPYxnx+d4jhKt3lb82to6+5fCms9gsNzHP/3//gLnPurh5NvXyKbzNHVW07KphpqmMGUVPlwrtLquB3x6Gx5t+c6P1eDZp3fwo5fPMxstrlvr5Klb7NvTQnBP032zVbIEZR4X3WMRcqaF17Ex58cSJiemv4kQNhkrgSwpOGQ3NjaGnaXevY394S8vuW5DRzXZdJ74dILK+jI8fteCNmmAvv4IdpE+jLfh8zkpD3vX1F0kSRourQ3DmkFVQph2DJsspjWDLDlRZH+BNIqOECkskUGVFr4cykNexibjDI7OcuxAO/1D00RmkpQF3OTyJm+8f51YIoMqywyPz9JYe8cqJOh30d5ccV/eDEBDfRkej4N8vvguwHg8w+RkfFFQdaziUY5VPFrUNlNmlmvxAbr8jUSNFKZtrZgtrawM0NFRxaUrw0V3x8XiGa5eGyWRyK4xiF47suYkCaMXp1JJ3pol4OgCCi+0e7ME+bzJ2fMDxFbhWL8cNE2hpbmc1pbShALXCyNjsyVrbfl8zk9tUKXpKr/wd++fFboXToeG2+MoKai6PdExrTx56xZZ8xaWyCAh43UsXx3RZT8utRqnWrEBmSpt0TZPHb9BS2c1P/7uKUb6IzhddzJAvdfGsOYpHTaY3QhzADIvF8jj2ta5rrwNhkgUFNUlF7Y9jaIfRFhjS3YeZu0sH05/yPno+RU3+dLISyUfVqWjkm3+bQS00i2y1nwWZVkiEPby0FPb6Nxez40LQ5x69zpn379BY1sVW/e1sP1AK2Vr1HJa0zFIBaKtEAJbGBh2AlnS0GTvkiTlpVBR7uUzT27j2989WdQxDAxGuHhpiI72KoLBlVOGqqywv62Bl85cQZUVHtncsiFZVkVSORD+Cjk7zZXoG9S4NlPhbMWws0xkb+JUlh8wb10Z5saZvrmshER+iUGov38Kq0SSenVVgOAaLY1kScfvPEQhdVa4vl7HHcKzQy2UlzzzWj+LT2445GE6mkRXFTa3VvHS6xcwTQtVVRidiHH85E1+/3/+W6SzBn/24scL9y9LqwqoAOrry/C4HczOlhZUjU8sPwu2hc1sfpaYMYslLFyKi3JHJQ55+WBdV1RavTXUusIMpafQHP75GdpSkCTYtaORDz8q3o5ICMHYWJQrV0c4vIRm1XrCElkS+R6y8iSWyGGTR5U8ePU2HMrCl8/AwDQDA9NFZxNhTlyyqxbnfTwFHxTGRqNkSgyqvF4noVVk3n+aoOnKulyjfN4kHjcJhTqQ50x27ftwgardx/BoDYQcW9c9UyVLOprsQ5W9yHPls0ef34miytQ1lfPUz+2hofXOpOw//94PUZTbHZYKQj9a0IuSnCA/oImBBKAhRAbbGkJROwpmyiLBUq2cmqTR6G4kZsRImkmSZpKslV1Q+isVmqRR7ijnyaonafO2rSnjtRzWHFQZeZO+a6NMjs4y2j9NdCbJlt1NdO5oIDqd5NwHN8mkczzzlbV5+awFaXOMrDlJyLmDWP4GM9lzOJQyyl37cKkr19lvQ1Fknv7MNl5/83JR2Soh4KMTvezd08wOf/2K2SrLtrk6PEGFz4OExGg0zm7Wv2wgIRN2NJE0pklbMTb7H0GVHdjCxhIGg6nzK6wsUVYdxB/yICvykp1/ff2RknwYAcrLffj9xdjSSNxfgmL55WVBD2MTcVobw4RDHmRZwuN2ICGhqDJBn4trveMkUjkmIgkaatZung1QWxNcUkl8LUgks0xOJbBtsWSH6UR2nAvRc4xlRzGFiVtxs9W/jS2B7ejLDN4OWaPeVU7KzOJUdEKaF/k+E5DOjioaG8Lc6p/CNIu77lORBBcvD7N/X8uqA9NioEhuJGQy5jhutQ5FcuLTO9GVhZM7IQRnzg8QmS6+s1GSoKE+xNZPCVdMCMHYeLQkfpiqKni9DhyrNET+aYEiy6jr0BRk2zbTMymCQT+mNUPeHAVJwaNvZrlxJ+TcQsi5fmbRd0ORnYSduxCYBPTChMUxFzzuPdpBeVUAX+BOdnjHwdb5rsq5X4SwhhDGTSTHERDZwv9vqACohKSUozqfBpFH0bqw7RiS5IIlghm36uaFmhc4WHaQwfQgA+kBxjJjzBoFv77bPKpqZ/WauvYkJBRJwaE4qHJUsTe0l83+zbiU9cmmr/kJyqbzvPvyBWQJth9sY8ve5gVmyqqqMDMVX5eDWw7JfB/R3FXcWh2R7CkMK0bGHEOVPasOqiSpwO157NEuXnzpTFHHcat/iouXhmhpqSCwTHnDtCximSw9k9N89chu3LqGsk62LMvhdtnveuJdvEoYUxhEcrdwKctnD03DRAiQVXlJHSHLshkemilZTiEUdONxr55guV7wuBxs7axhS0c1LqfOnq0N1NeE0DSFhuoQR/e38/G5W3jcDh473Elgzl/O49Jpa6wg5F9ddq087MG5jHDqapHNGkxPJ8lm87iXOFcXYudwKA4+V/sF3KqbofQgx6fepsXbNq8OfC8yVo4TM9exhI2MTFC/f/bJ7XawfVs9Fy8PMTWVKOq3pFI5enonmJiML2rVX0+osguf3o5lZ9CVELpStqRkQTKZ4+rVEeLx4rv+PB4H7e1V1NSUXipYD2SzBpFIsijtvdtwOlX8vo0t0X4SkGV5XTqtbVsQj2eQpTC6Wock6Vj2xr7nVoIi6dR4jlHjObZoWUvn4nfgs1/ev/ADYYJxFUnbCtYE2LPgOMxGq6pLkgNFu2P+LStlwPITWFVWqXXVUuuq5VD4EBkzw2BmkD/o+wOm84XmgS/UfQF1DaVLWZLRZZ2QFqJML8OhrO/7aM1BlcOl8fjn99CyqRpliZlnS1cNdSt4YK0PZAQ20dxVEDZNvi8wnn4Pa42tmbqm8Jknt/L2O9eKylbZtuD9D2+yZ3czvq7aJbMKsUyOK8OTODWN8wNjeBw6XqfOrqaNEztzyB66Ao/TnXi/oGcjBD4tTLvv8LLrVNaV0XtxkN6LgwQr/bRsWTgLT6VyJbWf30Yw4J7rQHmwkCT42s/faQt/5FDnguVffm7PvasAUBH28eTRzUsuWwperxOPx4EsSyUFoMlkltloesmgKm2maPA1EtLLkCWZFk8bP5l8A1usnE3SZZUaZxmqrBLWV1ee37WzkTffukIkkiiaBD06FuXylZENDap0JUil++h9v3f9xhgjo7MlCWRWVwXYsb1hVZ2/DwKR6SSpEhtIhC0YHJrm1dcvrdNRfTowMDhdkrn0bQhRCF4tkSGRO41hTaIp5eTMUTSlcr4E92lAz9VRYkvIuuzY34J2m8sqKaC2FgIqZCS5jI33/isdLtVFp6+Tckc5s/lZbGx2BXctO5n8JLDmoEqSpEKacY67YduCVDxDOpmlqr6MsjUojRcLXQliC5PZ7GX8ehtOtQpJAnmNDtuyLFNfV8bDRzfxgx+dK+pYevsmuXhpiKbGML5lvL80VZ4PokzLZjZVumnjSlBkjUb3Lmpcm8lYcRQ0XKofZaVoXoK6tiqqGsoxDBNZkRcQmWdmUiVnqWRJwu934fqU8FA2ArIsEw570TSFXK74zEEmkyeZXDqbVOmoYjA9QN7Oo8s6s8YMYb0cTV7+vAohMG2LvG1hA8YqW5Dr60K0t1XR2zdZdHkpEkly7foox452LtJAepCwLJsLl4aYLDLrBgUNs4aGMJvu087/IDE7myKbLc1eI5XO8/a713n73eUFgv8vDSEKmUBR8M1xqHWY1gymPVvwAPwUBVX93eMM9hVspizTJjIeQ9UUNu9omA+qJHRwPI4wLgMWKJ+e+/l+kJCoddbSl+y770Tyk8CaQ9N0MssbL56+q81aMDY4zel3b6zzoS0Pn9ZChesAQccWyl37kSSFoGMrPr1tzdtyOjWeeKzrvmTz5WDbguPv32BsPLpk0KEpMkG3k8Dcf25dI5ZZPHOS5v+neNjCYihVaLm3hEHSiBDQqvBqZeSsJFPZvmXXHeufoqw6wNHP7UFYFpl7lJlnZksPqhxODY/HsaHcmk8DQiFPSd5pAJmsQWIZdextgR24FBcD6X56kjeZzkXYX3YQ1woyAg5Fp9wR4EK0l6uxfuLG6uQEFEVm757mkgjM+bxJf39kXuvnk8JUJMHNnglSJQhkBgJutnbVbng341oQj2fIG6V7lv0My0NQuI+RZBTZjSoHcagNePStyHIxHNGNw96jHTz3lQM895UDPPvl/Tz2wi68ftfC94skIcl+ZMcRJHULwuj+xI63GNS6ateFVL4RKIKobjFwc3z+xSjLMtlMnrGhBzdgaoqPSvdCJd2wc+nyzf2gKDJNjWGOHGzjldeKS33fzlbV1Ybw3FPaujU1S//ULO45nk0ql2d4eolavCQhl9gSaAuDc7Pfp8Gzg4wV50rsTR6u/DoA0fwoA6lzVDiXtvGpaapgfDDC+ePXcHqcuO8hkxeCqtJmBW6X/qnpltpIeL2OksmxK2WqgnqIh8ofJmbEMIWBXw3gUlwrdr4KIdBljX1lm8jbBvJc9+xqpD22bamjtibExEQMq0hJjeHRWa5cG2FTZ/UnZqJ99dooo2PRkrScqir97NpZmpzLeiOeyJbEp/oZ7g8xl6mSUJEknYxxE4++nY3mIBWDexXVq+pC/PAbH2PNNZsIYYFxeX65sKfBvPlAj7FU1Lhq/uYEVbIsoTs0bl0fo6mzinQyx8TwDM4HmNa3hUnWnCJtjixw6vbpLasmqt8Nj8fBY49u4YOPe4jF1s4bMk2bt965xr49zbjd5QteGj6ng11NNXgchfOTyRuUexfP+iVJWqQLtVYIBFFjvHBMIsdk9o62tyGypKzl1bG9QQ/BTB4jZ9DUVUeofKHZ8cxMsuRMldOpFZXBSRl5fth/leebu3AqKj2xafoTMzxR146ufPq6lTweJ4paYlCVNZb1cTNtk4H0AIPpfvJ2npBWRpd/Cz51eYPqnG0QycV4pmY/Y9kZuuPLi8Tei2DQzY5t9XTfHCMeLy7LMzub4ubNCaLR9CfStp/LmVy5OkIkUnzpz+nUaGutpKGhuM7QjUI8nilJHuJnWAVEYZwXmFh2DFlyIe4yVi4VhpUgZY5g2ElssTZpDK/WjEe7003+0VtXGR++M9YnY1kCZZ67CPsCYY/f2YDIg9pUyuE/cNS76nmm+hlydg75U8YFW/MbyeVxsPtIB69882McLg3bstF0lT0Pd95/5XVCyhhkPP0uGXOioKI8d1JV+YWigipVVWhpKefg/lZef/NKUcfU0zvJhUtDVFYFcN8VYDaVB5Elaf5ll8kbpHKLuSmyRMmZKiiUAJPmDBkzVigBmoWHK2utbBw72jdBqCpAc9fSekKxWAa7RH8ap1Nb0jPvfkibBi/euswjdW3M5tK8MnCN9mD5J5bxuB+8HgeqUtosKpc1llWv70l205fqRZZkFElmPDtGykxwuPzhZduCXYpOvbuc0zPd2Aga3BVrmmQfPNDKT96+WnRQZduC/oEIvX2T7NvbUtQ2SsHwyAz9Jdq4lIU87NndhH6Xl+FsNMWlS8MMDRc6Yxsbw+zc3jBPJ5iciuPQVXw+54YR2xOJLMbPMlUbDiFu67opWHYcy05RaqbKFiZjqeNMZj4mbYxg2ils1nYt2wNfXRBU2ZaYz0oBuL0OnvvKgXnJBVCQtHsqO58iTthq4Nf8PF39NALxqctYrfkN53TpHPnMNgJlHqLTSTRdob6lkvatD06zJW2OkjWncau1WCJLyLGd6exZTLt42wm/z8Ujxzbz8Yle4kWIHRqGxRs/ucq+PS24arX5F34ymyeRzTGTTBPP5sjkDcajSTbXLuyQlCRpye7BtUIIi1PT3yZvZ8nZSU5NfxuAlBnFrSzfAp7L5Dn/7jUGr4+i6ipbDrQRvKvpIJPNl2yk7HCoaCVYGcXzWT4aH6DC5eWJunaEEJyPjHJxegxJkojns3SFKjlY2YhH05lIJ/hwfIDRdAy/7uTR2jbqPH6+2XOB5xo3MZVJ8YP+q/z29ofoiUWIZNM8Urt0eXQt8Lj1ktu4DdMit8yLsid5k3JHBdsCO9BlnZn8ND8YeZE9of1LBlWGbTKUniJlZnGrTrJWnpSVXZO2S3NTOa0tFYyNRYs2WR4ZneVG9zi7djY+cF7dlaujDI8ubyh+P8iyRHV1gO3b6uc/syyby5dHuHJ1hObmQpDvvEfn6czZfhrqy+jsrEbfoKAqmcphmD/LVD0IyJITr2M3eXMURXav6RlaCkPJV+iJfoNY/iYs4XF3P6iSB1MsrK7sPdqBZc7xiyXQdRVVU+4yVJZA2egO/Y2FhLRiY84nibV3/8kSwbCXI5/ZNs9NWI9gYC0QwkJTvLi1OvJWlHLXPpJGP6YoPqhSVYW21kr27W3hrXeuFbWN7pvjnL84SDjsnecOyZKEbdtcHBqntSKELQSp3OL0rixLJb+IFUmf51ABtHkXCrB61aV9/wCauurQbx+zIi8qX+XzVslGypqmoBZZFstZJicmB7mVmOEfbjuCV3OQNvJcmhnjndFevtCyDVsIzkVGCTlcbAlV8dpwNykjT5u/nMHkLG8M3+RzTVs4FxlhX0U9JyYGeX/8Fl9u28HpqWH8+voQTnWHiqyU9kxYlo25zIsyb+fxKB5cigtFUghqISzsZZWG01aOc7M9NLgrGExNEtQ91LmWNlNeDrqucmB/KxcuDjGzRLv2apBM5ujpm9xwzap7EY9n6L45zsxM8YKfHo+DbVvqFnh92rZgYiqO7lB5/NEuVE3BMm0URSaZynH2XD9v/OQK5WEftbVBNm+qYffORhwOjY9P9HLl6giyLBEMuHnm6R24XBqxWJqz5wfRNYW+/ilcTo3dO5toa1te9TqfN0uSiPgZVgdbZIhlCz6blp0Gy8atdxW9vaQxRE/0m8Ty3YBAlT0E9A402Y9lZ5nKnkSVPAQdXciSQs6KkjKGMUUKj9ZArfsxgo7NhJzbF2z31PEbjA4sz3FWNYWf//rDRR/3z7Ay1hxUWabFcH+Ecx90k0nm5l+0TR1VPPT09pVXXifoShCXUokm+5jJnufy9P8P005Rq61ssLkSJKkgTPnIw5s4caqvKG0Tw7B47Y3L7N/XisOhIkkSboeGrvo42NZATdBH1jCp8i82/F2PoEqWFNp9R+7/xSUgbJuGzhoC4cKxqdrCW6PQTlzS4SHLctElENO2GEjMMpVNLsiYCQFVbh+P17UTyaZ4qf8KY6kEYYeHkWSMQ1WNHKttZSgZ5T9efI+Hqpto9oUYS8e5NDPG4eomrkcnuRmL8Cude0v7gXNQFbnk0qRl2QtS+HejzdvOlfglBtK3cMgOIvkIze5mHMt0IZm2xUR2lnp3OSOZCNXOEG517QHkvj3NvPjSGWajqaID7Fu3pujpnXygQVXfrSn6ByJFq8JDgVd2YH/rguuqKDKNDWW82z/Fi98/y4F9LTQ2hFEUGV1TqK8rw+12UFcbZPPmWmqqAvPPuN/vYtu2emzL5tSZW1y+Osz+vS1kMgbnzg/g8zrZtbMB3aHdt9PQNK2S+Y4/wyogyaiyD0X2YdsZbFGabt9E+kNS5hAgCDq66Ax+bc4NwEHaHCEyfgaXWkln8Gs41TCmnSGRv8VQ8lWSxgCq7KHSfQiHsvBZSsQyjA5OU91QhsfrZKQ/QjaTp31LHYoq/43vvv6kseagKhnP8P0/eY+axnDB32/uWfY+wBZjn96GW61BlpzIqCTNQZxKOUFHaZYAmqbQ1lbJvj3NvPtecRIRN7rHuHBxkEce3oSuFwKrmxPTbK6pYHgmxkc3B9hcu3jWuV7Kv8VipG+ScHWQirqlSbiGYZXsuaQoxZc4narGsdpWLkRG+W7fJf7+1oKQpyYrBHUXHk0nYeRQJAlT2GQtA0WScas6iiRT5nCTMU0M26YzUMFwKkY0l+X5pi7ORkYYTcVp8gVL+n13fqdcsrejbYllg4BO3yacipPJ7ASWsOjwbqLF04pTWTpQ0mWVenc5aTNHi6caAcTyyQKvag0oK/OyY3s9Q8MzRXOTxsaj9PRMcGBfywPRrLJtwfXuMYaGl2/SuB80TaG5sZy21oXPrSxLbNlc8P+72TPBD350jo72Ko4e6SQYdNPaUkG4zEtrSwW7djQusIBJpXJcvjKCokiMjkUZGp5h/xzXTNMU6utD7N3TvKrg3DDtnwVVDwAyOi6tDdOO4dSbEWsklN+LmexFbDuPLDnYWvZbVLgOIs/xg2RJnTdN9mgN+PQCkTzo6MKplnMz+mcMJX+MV2ugzvsU8l0ahPHZFIce66Jzez2qppCMZ/jmf3mbA49swu11bojv7M9wB2sOqkzDYnYqwVd/+ykcdw2KDzL61WQvmlzIqIScOwiITUiShlIi2U6SJCrKfTx8tJOTp28VZVCaz1u8/OML7N/bgqapGKbFmVsjtFSEeOtqL5trKugej7CzqWYBMb2Qqfrk7nbbtDnx6gWufHwTTdfY9+Q2yu/KJuTnbGxKgSLLRQdViiTT7i8npLv45s1zfDwxyK5wbUH0dYlRotzlwRQ2k5kkecvi2uwkZQ43blWjI1DOT0Z6qHR76QpV8Z3ei2iyglNZnxq9qirrII8hMC17Sf8/l+Km3dtJvasRW9g4FQeqpC37AnarDh6t3LXgM11ee8OALEscfaiTd969XnRQlc9b9PROMjIyS3t7VVHbWAumIgl6eyeLNoWGQuPB/n0tS8qBeL1OtnbV0VBfxvUbY5w5O0Bd7RS7dy3fTTU9neSvXzrDL37lAA5dJR7PYt1V6tV1lVDIs6qsrm3b2D8r/T0gSAgEmXw3ksOBIpWWSEgZo9hYhPTNlDl33dNFKCFLGgJrgVOIKruocO0nnu/lRvSPGUsfJ+jYjE+/0/wxE0nQurkGf8iNNldxmJ6K4/LoC/wAP+0whYmMfF+P0pWQsTL0JfvoT/UTNaIA+DQfta5a2jxtBLXgujc8rXlkVVSFcHWAbDpPuOqT974qRPQqkcxpNNlLwLF6S5GloGkK7W1V7N7VyIcf9RS1jWvXR7lwaYiHDrcjSRK3Jmc4PzCGLQRtVWF6J6exbBv5rg6xQlD1yaVl23c1UVYdKPj/ydIiQ+X14GxIcmmyEYok0R4Ic7CqkR/0X6XRu3wJKaA7ebyujTdHenhntA9Jgs/Ud1Lt8qHKCrcSM7zQ1EVQd5IxDTYF14+4qcgy6zEdtO2lg6qcleNK/CLdiRvk7BwVjkoOlB2iTA8vOQApkkLYsT5OB5s31dDQEGY2mi46O9LTN0Hvran5oGoi249HCRA3pwlqlbjVhcfan7pMo7trfha/FvT2TXKrP1JSk0Uw5OHggcUNDIZhkc0ZaKpCKOghFPQUlOvvelZ0XSGbMxdovMXiaaLRFF2basjmDMbHo9RUL/zNqw3KTdMuWT/uZ1g9JBRAJpk7j65U4HXsKnpbpkgANh6tDllSF7zcJWQUyYUQVoG/dRcU2YVfb8etVhPL3SBpDCwIqvYc6eCtH5znnZcvoOkq01NxduxvRS/Rk/RB42rsKuej56l0VrIrsIsKZ8WqO/0sYTGQGuD1idfpT/WTttIYdmEiqMoqTtlJlbOKI+VH2BXYhVstTvx7Kaw5qLJtm/7ucX7vH/wpFTVBtLmU9ta9Lfz8bzyybge2VkRzV3GqlSUHVZIkUV3l5+iRDs6c7S/KaiSft3jpB2fZt6cZl0vniW1txNJZPrenC5em0VJRVnjx3gVZlosmca8HJAm6z/UTrgnhD3sX8XnWozQpbIEo4kUccjj5d4eeI+x0o0oyT9R3sKeingqXh6cbOslbhVl+2OnmF9p2ossKiiSzu7yORm+IjGmgyjIVTg8utZDR+bcHn6XM4UaTFf7lvqdwq+s34Fh2wcqiVMjy0uXSkzMfMZ4do9HdhFNxMZYZ5bXxV/hc7Rfxab4ltrR+cDo0jhxu50b3eFGZXChYHvX0TnBwfyvBoJvJ7CAOxc1sboyMI4GNjVcNIkkK0fw407lRXIqPSG6EMr0aSxhkrAQeNUjSjCIhUe6oI6QvlFMxDIubPRMMjxRf+nM6NbZvrac8vJgHmcsZvPd+N+9/UFCj1nWVvXubab+LVL5/bwuvvXmZj070cuRQO0ePdFBbE6KhIcz/+u9fxenUqKkufnJq2zY/q/w9SMhIkkLO6KNUkumdzNTioFiSZDTZgy3y5KzZe9aT0JUgDqWMaO7qouW7DrVRXV/G5OgsRt4iGPZS31z+UxVU2cLmRuIGJ2ZOIEsyJ2dO8rXmr9Hobrxvx6UtbAZTg/zl4F8ylB7CEPdk1W1IkmTWmGU8O07SSPJQ+UN41PXRz1tzUOX1u/jV33kaI2+iqHcIucElBp0HCVvkEfeevCKh6yqdHdXs3NHIyVPLW7ushCtXR7h4eYgD+1s50NqAYVl4HDpCwN6WukUzUUWRSlbhLgU9FwaRJAlNVxm8Pkqw3Ic34J7PLOmaWnLyxbJFUdkNVVZo8d/hevk0Bz6toFzvuEv8U5MVKlx37kOHolLrWTpD0+q/0wnZ5Ftf0rRl2SXLT0iStCw3K5KbotO3mc2+LiRJZpNvM3/W/98x1+n+vx8ePtrJX33nZNFBlW0LurvHGRyaJhh041Z8DGVuoEo60/kx2r27Gc50kzETdAUOM5ufpDtxEp9axkjmJm7FR6WzEVXSmcwOUu/uJJIbWRRUjYzO0tM7WZIHo8ft4KEj7UuW4txunaNHOti1owFBYeLh8zoXcMV27migubkcyxJ4PPo8z/Lv/eajGHmrIKas3+kWLS/38pUv7ce5yhegrJReav4ZVg8h8uStSTS5HFlyUAiIihu3NcWPhEzGnChMwu66jJKk4lTLief7SJkji9adE0fAtDNYYmFp2+nSaWqrpK4pjBACRVWQZWndy1wbiVljloncBGmrkKVrcDWgrZLeEzWi/GDsB/Sn+rFXkKmwhMV0fppXx18loAfYG9yLWgQt4l6seQuarrJlb/Oizx/EBctbcZJG/5LLMuY4DnV9SjiSJFFfF+LIoXbOnR/AKEKXxzAs/vp7Z9i7uxmHruKYq21LErj0xTeHLMuoJWg4lQrTsMgks8xMRBm7NUnXvtYFD7muKyVfY9v6dBFqP+obZCaVpq0iTEdlmN6pGRpCAS4Mj3OotYG8ZdE3NcNUIsXDHc2r3q5plZ49KATZS59zvxYs/EWS0GWdhBEnpJetbJi9jqgs97FjRwPvHr9RdFm4p2+S/oEI27bWockOEAJVVnEoLsayfQgh0GQHg+lrGHYWn1aGJUzKHXWkzRguxYsAVFlDlXQssThw6u2bpG/OWLYY3Nam2rm9YZnlMn6/a8XuPIdDo7Ji8fMeLlt6EqrOlRJXC1WR14WL6fM5aWosx+3+5AyvP81wOFSqqwLIkgO3thnTnsESaUoR//RqjcxkLxHL9WCJHLLQ5593RdLxqA1MZ84zm7uMLQzku4KKvJUkb8Xm9r/wGKIzSV7+1gnGBmf4ld9+ErfXyZUz/ex5qP2nJls1mZ1kNn8nA9fp68Sv+e+bpcpZOS5EL3A5dnk+oCrTyzhafpTtge24FTeRXIQTMyc4Hz1P2koza8zyYeRDap21NLiXftbXgrWX/yyb3isjfO+P36O+pYJf+AePM9o/TTKWYeu+5pIPaCWkjEG6Z39/yWWWyFHhOrxu+9J1lc2bqtmxvYEzZ/uL2sb5C4Ncuz7Kju0N9w1IFEX+RDNVOx/ehCRLDHWPsfuRLVQ2hhccs1aiQTAUymKfpqBqYCbK4ZYGjvcM4Hc6uDY+RbXfy6XRcWbTaTqryvE4dIZmY8SzOa6OTZLM5tlSU0FtcHmOkmlYRZU574aiLC4HvzHxKudnz5Kzs8SNOG7FjSprxIwolY4qRBHigcVAlmUef6SLjz7uIZMpbp/pdJ4b3eMc2NdKXVUn1a5WpLk/hS7T2/eeQPgEEjK2sFFlFSHs+QBys+8gsqTiVRdmG1PpHL19k4xPxIr+nQ6HxpFDbSWbY68WQghyGYNs1iBYtrrASpIkFLUQfJeSHW2oL+M3vn5sRT2s/ytDAlTNJJE7Rcq4jhBZXGo7pQRVIX0rw9IbmHaS6ewFqt1H55cpkouQYyv9iReZzV5hOPkajb7nAYm8FWcmd56E0Ycu+1HlhffKj//qFE6XTiKaJp8zqKgO8NqLp9myp+mnJqiayc+QNAu6coqk0OhuxK2szHsSCFJWiren3sacm2RVOCr4fO3n2RfahyZrSEhUOato9bRS6ajkjYk3SFkprsWvMZIZWRej5jWPFvHZNN/74/fYvKuRvmujqKpCbCbJ6eM3NjyoCjq62F/1vy27XFrHmbokSTQ1lXP4YBsXLg4tK8S4EizL5lvfOcn2bQ33LZ0pirShmarZ/AhTuX46fQ8tuTyTzDExEGG0bxKP30Xzljqcbsd8YOXQ1ZIzVZZlF/hGnxIksjnOD4/h1jVCHhdZw0AAQZeTXQ21nB0cYWd9DQIYi8W5MjpBwOVkPJ5YOagySy//LSWxsS90gM2+gmyIQMyXAAQCGQmP8uBK8Af2t1Be7mNoqHi+0rXrowwOTVNV5Ue5K+1+W7rjToAFt+MsSZIWvMdUqZBZuZegPzAwzY3u8ZKCeLdb59Fjm4u+7y+fHeDDt66RTefYdbCN/Uc77gjszv2O28d3OyhKJjOkU3kCIXeBg8hcLkKWEGLOKmXuPBT+A00rdNUWa3YNgCiMQd57DOF/hjsQQkfT9uNQ68mZI/icB0raXqX7MOrsf8MkyVDyFardD3H75lYkJ2XObbjUKlLmCBcj/57h5Ju41EoS+T5mc1exRR6voxmPWr9gu/Fomoef3satG+OFqqIkYf6UeUPGzfh86a9cL19Vlsq0Ta7ErzCcLviaOmUn2wPbORg+iHpXbKCg4FE9HA4fZjgzzOnZ0xjC4GbiJh3eDsKO5UWyV4OiiOqWabH7oQ56r44CcwTkdSDm3g+SpDxQnx+HrrKlq44d2+s5e26gqG2cPnOLa9fH2LqldsXvKYqMVjJRXZCz0ksuiRuTTGf7YZmg6urJXlq3N/Dsrx3jjb/8gNmJOP4yL8iFh9Ll1EvmVGWyBvkS+C3rDVWWyZkmedNmaCZG/0yUW9OzJHN5Tg+M4NY1+qdnGZiepdzjpsrnxaVr1AZW7qRLprILOsCKgaLI8+3Qt+FVfbhWmK0t13oshCj4iYnCMUmSvKCUUAxUVeGJR7fw59/4sOgSYP/ANH23ptixo2EBh+juwXP+72u492xbcKt/ips9E0UdFxTO/7atddTUBIvehm3bbNnVQENLBafe62ZqMs7J4zdIxDLsP9pJ26Zqvvun76MoCtv3NVHbEObdH1+ipbMaj9fJmQ9vMjOVwBdwsXN/K+Mjs1w+209DSwV7DrUTKi8E0ZqmzgVVRR8qpmUVBH43EEIIBCa2yCNLesn34IOGEDkSuVOkjRvYIo8tsoTcTxa9PbdaQ5X7CJHsWQL6Ju6+ySWpsLzN/wtcmfkv5O1ZxtPvLlhflTxUuY8QvKc5y+1xkE3nMfIm2Uyey2du4XDpP1WcqrSZJmcVpCTCjjBO2bni8QshyFpZPpr+aH4iVuGo4OHyh5eMGSRJosJRQbOnmWvxa6SsFKPZUVJWijAPOKiSFRm318X0RBwjbzI2ME3/zXF8/vVrSfy0QJIkWprL2b+3hUuXh4viVlmWzV999wT/r9/9/IoddLIso5So9WXYOb7R/09xyIuvRd7OUOXsWHZdX9BNLJKg5/wA6USWqdEZHG6NiroyNIdGMOgu2Y4omzVWHLgtO44k6Ug4HsgA8PUjCxXU//lnjgGws64gkHmbAHy0vRmAXQ01IO5vy5RK5ZZVQ18tnE51Eb/lg8h7XI5dwBQmtrBRZBUZCUsU7suvt/wmgdt8q7tgiQyjqfdIGqMosgOnEqbR95mSfMskSeLxx7r49ndPFF0CFEJw5eoIB/e30tKyfpIW0zNJum+Ol6RN5XCoPPFoV8n34ZVzg7z/xhWe+eJerp4bwOHQaNxVwVsvXyAeS9HYVskjc04U+bxJ165Gxkdmqc2bCCE48sQWZqYSvPq9M1RU+Wlur2JqPEZ/z8R8UOXQVRRFLmp8ug3TtNcUVJl2AsvOoSnBBcKTQghMkcQWeXS50MF5B4Lp9Pv0x/6Qev9XqPF+vujj/SQgy04CrocJuNbH4kWSJLaU/UM02Ysi3Rs0SGiKjwbf82SsCEOJl7FEbi5DLaPJXhp8z9LkewFVXsjpe+Lzu3nxT96n78YY/+n3foBt2fz6P3kWl+enhy9n2Mb8uOZRPPf1+RMIpnJTXI9fB0CXdVq9rTR7mpddR5IKpcCgHiSVSRHJRchYpankQ5Hdf498dgff/YN3mJ1M8B//xXdoaKvkF/7+EyUfzKcRTqfGtq11bOmq5cLFoTWvL0QhW9V9c5yuzctnqwqZqtKCKkmSCDuaeLTyNxctm8j2MJnrXXZdt8/FwPVRhnsmkICJwWmELQiU+9EcGuHw6sQIV0I2YyxrEgwwE/3/4HIdw+N8GvjkyhCStHS4Id9TeloOqVQOs5S0AeB06ni9C8/BjuAuWr1tXItfIWWmaPW24VP9DGcGiRsx1GVm/qrsptp9iKnMOfx6GylzFBbwlopDQ30ZW7rqiuYcQqEEODwyS1NT+ToZigsGh6a5fmO8pO2Uhbzs39dy/y/eBzv3tzA8EAEK5TtJlhDA01/cw8xkAkWVScQz6JqKZdlkUjnyucLkQ9gCI2dgGhaKPNdpLUls3tlAffMd78aA34VDV4sWZIVCY006vfr1b878B8aTP+RA7bfx6Hc0vGzydE//W6Yz77Ov5i9wawuJv7LsxKFWIpconHkbQthYIoWEhrKMTdOnGa77NFe51Eq2lv0WtZ7HiGTOYNgJnEqYsGsPQUcXirQ4UKptDPP3/h+fZXI0Si6bp6ouhMvzYCaq6wX7Li9TTdbuKwBqCpNTs6fm1/GrfvYE99x3Pz7VN29Cn7JSmHbp2do1B1WqprDrSAebdjYRGYuiOzUqaoKfaOfaRqO1pZLdu5q4dn2UfBG16Vze4sXvn+Wft1ctqzyvKFLJOlUyClsDT+LXFytV5+0MOXvp0iAU/MNymTzpRIZcJs+Rz+6mobNm/kEMl3nXIVOVJ5cz53gh99+WbSex7AgAkuRCkQsDkBApbJFCVaoRwsS2EwAoSgjbTiJEDoGBEDkkyYEihwClsC1hIzAAgSJXIs0N7kJk5vZlI6GjKBWAhG3H57ZdViij2VHARJbLl/0NyVSuJJ85AJdTw3MPv6VML6NML+Ps7Gm6/FvnJBUkmj0t/Pdbv49h54GlCc6ypCPLDkZTxwk42u9Rby4eTz2xlbPn+ouW5ZqeSXGzZ4IdOxoIrIPVlWFa9A9EuNU/VfQ2FEXm2NFOnM7SZvZOl44QgmNPb+ODN6+y62Arpz/oYXJ0FpdbZ+ueJr77J+8TnU7R0l6F2+uk+/IIhmERDEWIzqT48K1rhCv8PPyZrcxEEgz0TKJrCnb9nfvLH3ChO0rjk2ZzBvFE6bP0lSBJMmHXYcLr2FBkiRSD8b/Er2+l3P030yS4oKK+jwrXvtWvoynUNt0pY8Wjabx+Z8kT4wcFVVJRJAVTmPOZ+eUghCBjZTg7exYAGZlyRzmdvs777keTtHm+1d3ZsZKOfa0rWKbN+PAMZRU+qurLcLg0TMNiYmSWdCKL1+8iVOH7GxVkud06O7bVc6q9iitzPLK1wLJsTp3uo7d3ik2bqpf8jiLLaCWeM1lSafMdWnJZubOZcmfzsutu3ttCx85GLFPwzosnFgUMZesQVKUzBul0DtsW920DF8IkmX6RTO4jQEZVKvB7fhVFrSOTe4905k0qyv49th0lmf4+AAHfr5PNnyCbO4kQJpYdQVNb8Lq/iCTpzER/D0l2gTAxrUn8nq/idn0GkEhnf0w6+z6IPLLsxev5JTS1mVTmZSx7mqDvHyFEmmT6RWyRJOj7LWDp6zU7my6pFAOFDKnXs5yXn8ZoZhiX4kKXdWL5KELY9y3nScg4lCASylwZofSZ66EDrQQCbqLR5QP2++Hi5SEeOtKB37cyb2I1mJyMc+PGeEnn3+nUeOyR0kSEATq31s3//Qu/XDA6b+moxrIs5LnM09f/0VPYtj3vptDSOacyPxolnzfZtruZYPjOs7fvoUIJ/+6XYzDgxlFih2Iuu/FB1XpDCIFhxZlIvYpTWXpc/TQikcnhdmiksnm8Tse6ZGjvh1e+fYLP/fIR3D8ljQhO2Ykma5iWScpMzauhLwWB4HLsMpO5gnyKS3Gxzb9tWS/Uu3H3eGOJ0v1toYigKjab4vf/5x9w7LmduL0OOrY3kEnn+OGff8jMZJyG1koeeWEXLZtqSj64TxM6OqrYtbORnp7JFUtYyyGdzvPDV87T2vrUksGTopZe/rsNIQSWyJOx4th3Rd6a7MStBpdcZ3YyztTIDEbOJD6TWtQ1VRbylOzvKIQgFs+QyRr37TIyrRESqW9RXf6XSJKTZOaviaX+hLLA7953P6Y1jsf1HG7nbRKphGVPYloj+J2/itv9HJnM26Szr+JyHkOIHLHE71MW/H8XxPhy75FMfYdw8PfQtE5y6e9i2REsK4ItYji0XfdwRe7AtgUzM8mSSb8up7ao/Hcbe0L7OD75Dj2JbmRZIW/lOFx+dEWrBVsUCMJBx6Y5BebSy38AHo+To0c6+NErF4rexs2bBdXzttaKku4xIQSjo1FudJdW+mtrq6StbeN8Ce+2oyqIvC7+zW6vg/qmcpxufcFLd6lMQ8DvKln2IZsziMczq84irwW2yJMxRshbt7POOk61Gqe6+BwLYWPYUXLW1Jw9i0CSVFTJh1Otmi8b5qxxctYU8dwVsuYoaeMWs5lTAMiyA5dah66E57YpMO0EOWsS005QyFK7cShVaLJ/wbOcNcfJWRF8+iYMK0rWmsAWOWRJw6FU4lCqMO0EKaMPh1KBS6tbcPyWnSVjjgA2TrUOVXZj2TlszDnrGZ2PuwfZ2lDF6b5hDnc2IQFOXSNnFLL4zrlrmc2bOOZEl3W14CPrWSF7Oj48Q3x26cnNlbMDPPcLB1dzuT4VCOgB3IqbjJVhIjtB0kwue2+mrTTvTL0z/2+/5mdncOeq9nN3dkqRlHWZaBZlqDzYM8HwrSks02akf5rOHfUoisw/+tdf4v3XLnL51K2/cUGV1+Nk5/ZGzpzp53oRg7ZhWJw6fYtb/VN0diyeVSnrKP5piTwDqXNMZntIWVF02YVh56h1baEr8Oii72eSWeIzSabHoowPTFHTXEGoyr/gBna7dYIBNzMzyZIcWKKxNOlUbpmg6o46sWH0oqktyHIQsHFoO0ilX1q0RmFmsVDVWFUbUZX6RYGPLAfQtA5kyYmq1mHZSUBgmEOY1iTJue1LyOhaJ5Ikoyp1aGor2dzHSJKOEFl0feuyvy+TyZNIZEvW43J7HMuKSlY7a/liw1eI52MYwsCv+XHKrhVfhrcd7yczZwjq61f+k2WJxx7ZzKuvXyq65JnO5Ll6raDnVlFevM1OLmcyNDzDyOjs/b+8DCQJnnp863pYN5YEn9+Fb5Xl0GDQg6PE8l8+bxGPZ8nlzCWNo0uBaSeZTL/BZOpNDHsWWxg0B3+TRv9XF303Y44wnvoRs5nTGHYMgYmEilOtpC30O3i1NkAmkj7OVOYdUvleLDvNWPKHTGWOA+BUqmnw/y3K3Q8XtL+sSSZTrzOVeZe8VSgLq7KPsPMI1d7ncKkN82PFeOoVhuPfZlvFv2M6fZzZ7GnydhRZ0qjxfo5G/6+QNm5xJfIvCLuO0Fn2z5Dv4jWljD56Z///qLKX1tBvocrNRLJnSRgD6LKXStcRIok0Z2+NMDId49LgGLpSCJwmYynKfW4EYNo2sVSWsM+F26FT4fcQz2TZ3rj8e/W1vz5N77XRRb6tAAO9kz9VHpGVjkoCWoDp/DSRfITeVC8N7gbcqntB4GPYBidnTtKTLPj0apJGm6eNWtfK3fa3kbWy5O2CM8RquFurQVGcqq5dTXz1t59isGeC175ziur6EIqqECjzEAx7iYwVL7j3acamTdVs397Arf5IUdmqWDzNK69dpKW5YlG2aj2I6reRtVNcjL5Cg3sXqVwfld59RHIDGPbi9L6wBQM3RvH4XNS2VhKfTjIzESObyuELeha8qFtaKugfiJRkrhydTZNKF1plxXwWTUaINJaII0t+QEZWQtgiAeS4zYeS5dDcA6UiyCOEiRApLHt6nm8FBdPTpTJJkqSzlKWELHtQlSrK/P8cRQnOyYMUrq+qVKCp7WSyb6OprShyOaqyvEBiZDpJNleaXYyiyAQDbvy+pV+qeTvPTG6alJVCYJMwC7yvJnfLsl0yBWFQgUstR8z9WY9ZmSRBZ0cNzc0V9JQgYXDh4hCPP9pFedhbdKYkMp3g+o2xku7PQMDNoSXMkz/NCJd5cLtLL+vE4hki00nq61Zn2yQQTGc/ImXcsfKyhUHWXEiR0OQAdb4vU+F+gkj6bYbif7nsNidSrzKW/AHlrmMEnQWicdacIGX0zIlcFp7fkHMfHr2NaPYM/bE/osb3ecpdhe5dWXLgVAvBh2knmUi9wkjir/Hpm6n2PIssOYjnLjGW/CGmSNHk/xoO9c4zbdpxhuPfQJac1Pq+iCp7yVrjeLQWJEnGqdYQcu4jlr1IyujHpxe4O0JYJPI3yJjD1Pl+HpdaeLEPJn7EUPIVPGo9vqoWaoJezvSNUFPmYzKW4simJj68PkDeMnlmdyd/9dFFLEsQ9rnIGha6anNteJJNdSuT2sur/Gzd00Tr5sWB13/9Ny+vi3/rg0Kdq45qZzUD6QEsYfFB5AMCWoBNvk14FA8CQdJM0pfq44ejP5xfL6SHeLji4VUHR3frYbkV9327DFeDooKqQLmX4y+fJxEtkJpvXh7ByJtcPz9IZCxWsjTApxV+n4vdOxs5d36Ant6121/kciZnzvTTPxCho31h6rugS7RO500IJEmh3XeIpBlha+AzjGauMpg6v8RXBVMjs0S1ONPjUZq31DNwbYRMMrfou20tFbx7/HpJejiR6STxuVZ3WyTI5y9jiwSWPYssudHUZkBFVzuR5RCpzKtIkoNc/hJu1zOAiqKEEcIinXkNWyQxrbEFQdVaoSoNaFonqcz3UZUGkGRUpR5d60CSHKhqPbbIYlj9eF2fZ6Wy2fhErGhPvNvwehxUlPuWbVzoTd6kO3GDnJ1dwAGodtYuH1QJC1uYuNVqzBUaFtYKSZLQdYXHH+0qKagaGJxmYHCa9rZKHEWoPgshmJiIc/3GWNHHAHBgfyuh0PoYqz4o+HxOwmEvmqaUxCWLxzNMTcVXHVSBYDD2ZwsyNQWtvCkU6U62RJIUdCWEroRI5W+y0vNj2nFkScPv2EaZ6wiq5EGS5LlJgTQ/EfDobbiEiWHNIKHiVpsIOncv2l7K6GMq/S4erZXW4N/Ho7cBUOF+DFtYTKXfIuw6gq6E5ydiAgubPJvKfhdV9i8K8jUlSLnrGLPZ00xn3sOrtSNJMnlrlkT+Cqrsw6d33XNe7qCmzM9WwyTkdaGrKlPxFJtqy8maJoos0V4VxqVr2EJQV+YnEk/TNzFDY3lwxauxfX8r/qB7SR/efUc718UV40HBr/np8ndxM3mTqdwUY9kxXhp5iS3+LVQ6KrGxGcuOcSl6iZSVAsAhO9gX2ke7t31V+7CFzWx+dl653a/50eXSZSfWfJbdHgdHntrGybev4fW5eOyF3cRmU6QSGU69ex1dV9m6Dq3In1Z0ddWydUsdg0MzRfFmZmZSvP7mFVqayxfwRwq2JOsTVEmSjEcJztuW3Ii/S9qMLlnykWQJr9/FWH8Ef8hLZX0Z8ekkmkNdRLtpba0omVQ5MRkjFk0XskHCIm/2YJpDSJIDv+dXUZXqOaVoD0Hf3yeV+TEg0NQWPM5nC+7taitu11PkjMuoSjVu5yPzQZWi1OLQbGQ5cM85ceFyHEWRgwDIcgiX8yigIUlOQr7fIZn9EWb+HLLsWhCkFbJTtVh2BF1bmcA8PDxDKlVaUOXzOamsXL4Mdi1+haAWYp9vP+pdQZRrGWKmLSxMkcGtVpIwhgnoreuSpboNVVU4sK+Fb3374/mAea0wTYsLFwfZs6uJ6urA/Ve4B9mcweDQNGPjxWfJFUXmiUe7Sr7HhRDEZ9NExqNkUjkqakOEq/woikw+a6CoygIz+lIhSRL1tSHcLp2YUTzZPBbPMDEZX8ueaQz8Cg7lzgRRCJORxF8tyF6tBUHnXuK5K4wmv0/GHMWnb8ajteJUaxboYc3v7z7by1kTZMxhQt7P49aa5z9XZQ8BxzamM8dJGwMEHLtRpTucxEr30yiye8lrJEs6Hr0dj9bMbPYM1Z4XcKqVpIxeErlr+PQuPNryL/ZNtRVsqr0zvtii4I5we18PbW6eF9POmRaJbJ59bXUo9+nca1zBYugzX9y77LJPK7YHtjOUHuL9yPukrTTT+Wnei7y35HdVSWVHYAePVz2+6ixVxsowlZua16YK6wWR0VJRlKHyjoNt7DjYtuDzZDzD+OA0Hr+LqlXPdIrF7UfpwRMfggE3e3Y3ceHSEP39kTWvn87kOXOun/6BbbTf9RDIckFSQZalkvk4uuxms/8xHLKXBvcO+lNnccpeGj2LyXuSJNGxu5lQpZ9A2Eewwo9t2fjKvEj3vFxamgqBYK4EVfRoNM30TBLTtNC0MAHvry3/O7TNSwYxihzC5/7ikus4tC7QupZYJ4Df+7X5f2tqAwHv1+/8W2slpP2jJbcpRAoQOPRdyPLywY4QMDw8O1/eLBZ+v4vKiuVV252Ki3JHBZXO6lWlqy2RI5HvJ6B3YNhpvFr9fddZC2RZorLSz+5djbz7XnfR27l4eZipSILKSv+aA5uZmRRXr4+WVPpraCija4nSyVpgWzY9V0Y48ZOr9FweJh5N8fRXDnLs+Z24PA7e+/FFyir+T/b+O06u+zzvhr+nT68723vBYtF7IUCwV5ES1ShRlizXJLaT2Ikdx0me53nfJJ/Eb5wnLnGcuEW2VWzL6iIpsYgEKwgCIPqib+9ldnf6nDnt/WMWCyy2AFsAkgovfSjMzqlz6vW77+u+7gCb9jat2iAKoLo6gsejkkgun1RNTWUZGJzEsuxbShUJCERdd83yqbIcnXjurWWTqohrDwIS47k3mcgdIp59HY/SSNS9jxLPPUiie0kDAtvJ4zgmkuCZIwmQRT+ioGLYKRxndspelWKL6g41KUbUfYD+1N8xlT9GzHM/6cIlDDtBQFs3I5K/FYjzELerBEsWRSrDAbxLiN4O9MQJRjx4fSuvpn0/EVSCHIgdwHIs3pt8j4SRmLc6LyAH2BjayGPljxFVb/24D+eHGdOvWa9UuCrwyStv9bWsNjUToynOn+ghEPawYWfjTOPG5g2r+7CeD6adJG90IIl+3IuMBm4nNq6vZt3aSgYHJiksI9w+Nprk1dfO01BfMuvhJckSsiytuHJMETVqvJsAqPftoNzdioCIR57/Re0LevAFr43SympL5p0vGvVRWuKnK7N80mDbDkNDUyRTeaKRO9erbjmw7SwFo5184TAAbm1xf51sVmd4NLEi0glFUlVWtjCpkgWZ41PHGMoP4pGuCTd3RHbhkubXYZlOnkThCjlzDJcUwq/Wr2gfb4RLUzhwdytvvn152YOCkZEkHZ2jNDWV4nHfehjecRzGx1OcP7+y1N+9d6/F5VpZO4/+rjGe/erb9HeNUVYVpuPcAPGRBJZpIwgCZ490kkrkaNtWt6qkqqY6smJdVS5XYHBwikQiS+R9ujcl0UWJ526Cri2kC5dI5k8znnuTrqk/RZXChFw7ZvV4vdmZEgUVQZCxnHzRduS6KIblZLEdA1nwzOkbu1B178x+Ch6C2gaGM34m80fwKA0k9bO45Er86rpVIzOyJOKTlpaSeve182zd24y35cNnhnojqtxVPFL+COWucjrSHcQLcfJWHgEBl+QiokZo9DWyPbydiBq55fU6jkNfto+RfFGy4JE8VLurZ4xAV4Ilk6pcpsDrz51kdHASy7TZsLOR4b44XReGeezzt79ks2AOM5F9EY+yFk2uQzf70M3eaXFiA6adxLBGUeUqNLlqwbz2ShAOe9m+rZ4zZ/vp6196Q9lMVufEyR56etfReF17DnlaV7WaPbgkQcYrh8maCcby3cRcy0/NiqLIpk01dPfGV9Trsbs3zsREZlmkKmsanBwb5PzEGKZtYTsOmiSzNhJjT3ntvKO+5cPBwUAUI7i0NhS5dtG5e/viTE5mVnRsVFWirDRAZBFdT7mrnJSZJG2m0G19hlRZCxjkSYJKUG2iYCVQ1Gti39WELIusba2guipM7zKbLDuOw/ET3eze1bgkUpXPG/T0xhkeWX7qz+vV2LunacVi3lOHrjA2NMWDn9rBjnta+YPf/uas6Ws21fC9r7yJvcLekDeiojxIeLqV1Eoi3SOjSfr6J94XUlW8b4raKUX0E3ZtJ6Rtxa3UciH+75nKv0dQ2wzXESBRcAE2ljO/TlCTSnHJFWSNbvLmIO7pKK1l50gVLgIObqUaUVgaIRUEAZdcSdi1i8ncEcayr5I2rhB175uVZpz1+yha3Vj28tsnzb8v8qzU6MRoinx2ZRKEDxJiWoz7S+9nS2gL8UKcrJlFFETckpsStYSwGl4yiXVwiLli7I/tx3Zs/LKfBl8Dsrhy3dmS15DPFTh/oodHnt7FG8+fQhQFCrrJQM/SU2FLheNYWHYS287hYJE3u9CNHnSzH0FQMe0Upj2JbefIGVcIex5Ek29P9Gzzphpa15QzPJJYsjjUcWBwcJI33rxIfV10xntGXk2x+g1ImWMMZNtXRKoAdm5v4NnnT67IVqGra4yx8RTNTaVLvhkEQBJEHBzOT4wxqed4qLYZaRVKYW+EKHpxa3fh1u66pfkvXR5hcjKzom0Ggx4a6krmNFO+Hq3+dTT55roFLzTKEgUZn1IFN3jqrCYEQSDgd7N3TzO9fUeWvZ6z7QOMjaUoKw3csvvzVCLL2XMDK0r9bdpQTWVFaOWawf4JomUBNu1ppKw6gnxjU+yAm2w6t+oN6L1ejcbGUs5fGCSzghfq8PAUXd3jbNpYsyrRFsdxsJ0Cpj2F5ejo1ig2JgUrTtboRRI0ZNGPJHqwnTyj2Vcw7RQuuQJZ9GE7OsnCWWzHQpPKZkWaBEQ0uRxBUBnPvYVbrp1OD0q45So0OYZHaaDEvZ+RzIv0Jr9GxL0XUVBIFS4Rzx0qVhEqzfPqtW4GRQwS0rYykTvMaPZlBCQC2gbkeXqvAhSsBJ2Jv0dbQmrwVlDpu4+Ye+fM39UNMc6d6CGX0fH4XTP2IE1rKz9Qptx5K8+V9CW6Mp3IgkxQCdLib6VEi81J8YpC0SW9RJs/izIfDNtgMD9A2kixPrhx1jRBEGjzt9Hqby3+jYC4SoPNZdEySRaJxIrakkLeIBFPr2ooeyGYdhLd7EMSPZj2BHmjq9imxCngUZox7SlsR0eVq7DtLMICjtergUjYy47tDZw7P8jg0NSSl0+ldY6f7OGeA6001E+LrFdoAGo5Bqcmn6c1cA/H4t+dNS1tjiGLC4/GpsaSdJzpIxFPgQNbDqwlUh6aM9/6dVV4vdqKmtVOTGbo758gt6l2TtPgm8EtK+wur2FdpBSvfIGBdJIvri1W/RwfHcCwbRoCYV4f6KIlVEKpx0t3YpI14RLylslbAz1MFXKENDeP1LYQ0lZHd2CaFh2dI0wlVuZKHY34aGxcWHAKxQfMhD5OwkjMat+w1t+GKr1/jskul8quHQ388LmTy66AnJzKcuHiEE2NpXPa9MwHx3GIxzO0tw8sa3tXce+BtSv2eoJiw/nifk1/ccOlNTY0hec2aV02rq/i9TcvrIhUTSWydHSOMpXIEg6tvArSwSRZaKc/+bfYToG8OYhpJxnLvkKmcAVR0Cj3PUbMcz8OkDV6iOcOAQ6ioCAIEo5jUeF7koh7LwLXaYsEAbdcQZX/M4xlD9I19WeIgopHqaHS92k0OYYihSjzPortGEzmj5EsnKVo4WIR0jZR6f8ULnl5buyCIOFVGvCpLQylv0/Mcz8BbcOC85tOmv7MS8va1mLwKJWzSJXLrXDhVA8T4yncbnXmGqxtKv1AkaqCrdOT6WYoN8jaQNuMyee28A5KtJU3WDcdk8HcACP5obmkCgFBWD0idT2W/BRxuVVaN9fw479/l64LQ3z9v79MQTfYee9ccfBqw7TjGPYkYc+j5I0uLDuJ49jkjEtociWaVIFpT6KbfbjkhlVr2jkfBEFgx7Z6Dr1zmdGx5JKNDx3Hoa9vgrcPXaautmRaqC6tKFIlIOCWgpi2zkDuLK3+AzPTTKeAzcL+SZ1n+0hPZYiWhxAEAWUBYWQg4GZNS/mKmujatsOFS8Ps3ZPG47n1PPjN0JtKkNDz6JbJa/2d2I7DWC7NSDZNmdfHc50XCKguanxBrkzFeb77Ap9t3ogmr/xlOjA4RX//5IpSt4IgUBL1UVe3+GjsbOI0A7l+hvNDBJUgCWOKoBKiydeM+j42opYkgaqqCOvaKld0fRw73s09d7feEqnSdZPunvElVq3NRmVFiHVtlasyMKxpKuXy2T7OHOkgHPPPRKRsy6b9vW7efvEs63c0IN2Gl1vb2gpCQQ8jI8s/Fpbl0Nk1RlfXOOGtC5OqCt8TBLVNqNLsa1VEptL/FBH3XlQpPN0aKUrYNb80RBAEXFKxOEASNMq9jxPQ2jCsJA4WoqCiSBH8Ssu07cH1kSoBSfBS43+GoLYJw5oCHFQpOuNTJSDglmup9n+OkGs7ujUKjo0ihfApzWhyOeJ1jcij7n2oYgSPXMOtpMkVKYhbrkISvPjVdWiLeNjdKTSuraC0MjTn+8Wi3+8XVFGl3tvAvpIDDOT6eGf8bTrTVyjRYqSMFBdS5xjTR5GQ2BDcRLm7AkmQuJA8R0fmCo5j4xLd7I/dg0tyYdoGnZkOLiTPo0oqOTN3x418l3yU3R6V/Y9u4vzxHsqqwnj8LqrqS2jdvLjeZDWgiCWE3PfgUhpR5Uoy+iksJ0WJ95MY1ijgEHTtw7KzyGIIUbx9pAogEvGyc0cjFy8NL+uhnkzlOHGqlwP7W6mtjSJLK3NVFwWJJv9uDFunxX8XG0IPzUwbyV9hIHduwWULeQNVUyitjiCrMtoCmhZBgL27m1b00oRimmd4OEFVZXjVel9FXG5SBZ3zE6OEteK5b4+P0BIqIanr9KeT/Ny6ZtoipVyaHOM/HX2NJxvaVoVUnW3vZ3B4akXr8HpV6mqj+BdoT3MVPdluSrVSEsYULb41yKLCicn3VqUZ6EogCAJ+v4t9e5pXdH2cvzDI2HiKWMx/0xRgMpnjbHv/ilJ/e3Y1EgrNXz6/VGy5q4XO84O8+r3jnH6ng55Lw2TTOn1XRmd0qI98dteK28rMh3DYS0N90aB3JcUSvX0TXLg4xIb1VQvuZ8i1bcac83oIgkTYtXPWdx6lDo9Sd9PtCoKIV23Aq966REEQRDQ5Rky+d5F5BDQ5hibfPPrhV1vxq623vH3DSpEzB/AotYS0LYumEVUxRJ3/SdzLjIwthBL37POwmLXCBxWSIFHpqsYje4kX4hSsAmcTp9BtnWp3DeP6GMenjrJfvoewGsElualxFznHmcQpLqcusiG4iYSR4I2x11gf2IgoiAzn2gmpoTv6W5Z8Z4uSSKwiROSRALmsjiSJqJpyRyzwZSmELIWAYsmrrbSQLpzGsMYQBA1FiuFSrnl83O5yUkEQ2LOrkbcPXWY8nl7yg922Hbq7x3nn3Q5qaiKr0P9PQBIUBFFkjf/uWem+qFaHR17Y6iIQ8dF7cYgz71xGFEW23ttGdJ70H8Ce3U381VffIrOCKsB4PMX5C4OsWVNO8BbbcdwMMbeX/nSSgUyKGn8I07a5PBVne2kVNg4uWcYtK4iCQLnXz2Q+uyoNNNPpPO3nBojHV6anKon62bih+qbXreWYRNQoI/lhQmqEGk8th8ffXrST+52CS1Noa6ukrCyw7IhJOq3Tfm6AxobYohVtjuMwlchy+kzfcncXRZHYu7d51VqzlFQEeeJLd3H0tQucPtyBL+AmnciB49C8oZq7HtlA88bqOXYlqwFRFNm+rY6jx7rQ9fSy15NO5znT3s/OHQ1zTIo/wjU4jkXW6CKRP0XItQ2/tni2RhF9VHjvI3yT+ZaKGysX9VyBK+cGGR9NYlvXnm/7HlqHugxj3TsFWZSRBAnbsUiZSS6nL5Eyk5RopWTMNBkzzc7IHgB0W6c/24sgiMT1cQZyA6wLbiBeGCdv5dge2UneyhEvjFOwV2Zxs+TfcaszOo5DKpHjnZfOkknlWLullnXbG0hNZXn1heNkUjk++fMHbr6iVYQqVxAQXFhOFknwzhCuO+nNEY362LOrkSsdI4zHl/4gm0pkOXmql7v2Nq+aUF0UJHzKbDGkS/Lhkhau6Klrq6KkMoxt2Qx0ji56DGMlfnbtaODg6xeWvY+27XDkWBd37WleNVJV6vahWybpgs6a6hI6ExOkjQKaJFPtC5Iq6MTzWer8IU6MDlEfDK+KwP3S5WE6u8YwzeVHiiRJoKqymIa6Gcq0cmRBptxVwRtjBxEQMB1zVmrk/YIoCpSU+Ni+tZ4fvXB62es5cqyLB+5btyipKhRMurrHGR1LLXs769ZWUlMVWbUWHoIgUFlXwoOf2sH2u1vJpHLYloOiyYSiPiIxP6K0esafN2L71npKywJMrLAK9dz5QU6f7ae+ruS2Fc98GOE4DoYdZzJ/HMOaYjT7E0TRRan3wek2OotDElSkVTCYXAyv/egUw/2T9FwZpbI2wlDfJOU1Efbct5b3UR1wU2TNLLqVxyf7Zwa7zb41NE07pEuCRFgJkzQSvDF2kF2RPYSUEAljCssxp/s8FlBFFVVUMW0Dv+wnXviAkiqjYPG9r7xBJpUnWurn4A9P0HlhiN7LI9iOw92Pbbqd+zkvREFFnafT+Z2EIAjsu6uF19+8yMRkZsnlzLbtcKVzhKPHumhpKluV/n+Gnacvc5pa71ZkUcF2bJLGKBlzgirPulnz5jI6ifEUk6MJJkYSFPIGXe39lFSEiJTNdbYWhKJJ6cMPbFgRqQK4cmWEs+0DVFaGVqV3WVBzYdgWqiTN6KaiLg8+RSXq8vBo/Rqe67rAdy6fxcbh82u24F5h6i+fNzj6XveybQSuIhDwsHFDDT7fzR+4m0PF81ruqiCgBEiZKcpdlXilD0Z7lUDAzc4dDbz0k/ZlE83zFwYZj6eJRHwLpofTGZ3TZ3pXlPq7a28zfv/qCscFodilwLdKg4WlIBTysGt7Az0942RXIFhPJnMce6+Ljeur5m0AfyP+9u/f4dLFYSRZRBRFGupL+MIzi/u6ARiGyTuHO/D5NLZtrV/2/t6ITEbn5KleCgWT+1ZV72uTMwfpmvozbKeASy6nLvAlQtoW3g8z6vnQc2WUDTsaSE3l2H1vG6qm8OzfHV7RfXK7ods67cnTZK0sbYH1+GU/mqihCApVrmpcspu8lUcWFSYKEySMKeo89fhkPxOFOH45gCiIBNQASSNJ2khTcHRG9RGkm3iOrTZu+Y1imRZnjnTym7/3ORRN5sy7HTz39Xd45LO72Li7kegiZoU/7YhEfOzd00xXzzhTU0vvqzYxkeHkqR6CQfeqjAoLdpbzyYM0+HYARbFm2hynN3NyDqmSFQmPz0XHmV6gaPw52hdfND0hCAKtreU01JfQtQxX+avQCyY/OXiOLZtrqa9fGqnyyAoP1TZTsK+9tGVR5BON69AtkzKPj080tvFIXQsxtxdZFDlQWc+aUAkFy0KRJKq8gRVHqs5fGOTM2b4V9/uLRX3s3NFwSy93vzJ9r0lFewXLsVBEZcFlDduiMzHBUCZNUzBCxOUmoeep9M2+ZzNG8Td4lZV5uymyRG11hDUtZZw7P3jzBeZBLmdwZjpSMl9qznEglcpz8tTyU3+RsJeNG6pxuZb/ewe7x+m6sHTT0d0PtM2xW1gNCILAffeu5YWXz6yIVEGxyfXhI51UlIfw+xcn+729cdrWVbJ1Sx2iIOC+xapeSZJYv74KeZWb/VqWzfh4inx+Zc3N50LEqzSyruTf4wCy6EOTSpEWsFF4P2AaFqGIF1mV8Afd1DSVFiOmK+zUcTuQtTKcmHqPS6kL+GU/m0Jbqfc2oooaOyO7OT55jG/0fhWANf5Wtod3EtGilGsVfLf/W2iiNqOZEhAoUUtoDbTxjd6/JqiEEAXxg0uqAEzDpLymWK1V21xOIOxh/2MbcXu1D7Ud/kohigL33rOWg6+fJ5HILtnDybYdLl4eIRBwI0qr4Q1jU7CzM+kgQRBmvrsRsiLhC3nYdNcaBElEdSn4Qh6i80SprkIQBLxejUce2sCf/sVrK9rXS5eHee9EN7GY/5aqva5CEkVK3HMjM2WeaynOUs/sdKdHUWkMrl61YSajc/hIJx2dYzefeRG4XAota8qpqV583w6O/oTTUycXnP5zDb9EUAnN+T5nmpyfGGNnWRVBzU1/Okk8l8GnqlyZmsDBIap5OD0+hCJJtIZjDKQTqKKMR1GI53MEVY21kRhu+eaaDEEQiEZ97Jy2HFkujr7XxcMPrp+XVBlGsepvJYaf27bVUVLiX1GhxOl3O/j6Hy2tTF7TFLbsa74tpAqgqjLC5o01HJy4sKIGy7lcgYOvnWdNcxm7dzXe9BlfXhakpbls1nwTExlePXgOl1uhvX0At1vlngOtbN5Uy+DQFG+9fYn29gHuv6+New5ca0k1PJzgxZfO0DcwgarIfPIT22lsjDE5meGrX3+bYMDN4NAUbrfKl37mLsrKgmQyOm8fusShd64QDHrAcaisXN2WaYIgIAu+Ra0T3m80rq1AlkVa1lfx9T95BcdxkCRx1QqCVgte2ce9sQfYEdmNiIgqqvhkP6qkIiBQ66knokbRbR0HB4/kwSW5EQWRJyo/MWN8rIoaolC0SHBLHu4rfYC0mUYWZGRBvuPc5Jbvatt26Dw/xC899HsAmAWT1FSWf/bUHwGw8961/JP/6xO3Zy8/BIhGfOy/aw0DA5PLaio7Pp7i1dfOr8poQhAkFNFFR+pdGnw7yFpTDOUuzKupEgQBQRLovjjImbcvkUlkEQSBR3/2AN7gwqMvRZG4e38rz/3oFP0Dk8veV8Ow+O7332Pd2kpaW8tv2fDxg4Cjx7o4/G7HikfDJVEfD9y37qZRyvWBjVRPV7y8NPJj1gc2UOWumZnuWSD955EVtsQqODk2RKU3QMTlJmeZWI5DQs/jAA2BMCVuL6ok0ZOcpC+dQBElNEmizh+mIRhGk26dBPj9LtavryIYdJNYpnfX2fZ+phI5AgH3nAdjLlfg5KneZd8vggB7dzWtWM+3eW8zoevcxwsFg4PfP87URIat+1uoaSxFUWWSUxnOHO7g8pl+/sn/5ylcS3CMXypkWeTJj23hyNHOFfum9fXF+dELpygt9dPYsHhV2de+/jbf/8FxFEVi/74WPv7kNkzLortnHJ9P40s/cxeKIs9408VK/Nxzdyvx8TTJ1LX9NE2LF148TVNTKQ8/tIGLl4Z47kcn+fkv78cwLd56+xK/9S8f55GHN3Lw9fO8/Eo7X/j8Xvr64rx96DJfeGYv6bTOSy+fXdFv/7DiwGObkGWRmqZSquqiJKay1DeX4blJVfGdhiRIBNUQQULzTpdFmZA6Pyle6HtREPHJfnzywj1abzdu+Snp9mp85dV/veB0dZWqZz6sEEWBhx9cz6uvnVsWqbJth1xudULVLsnPptBjvDv+TQ6O/C9kUaPeu52t4YVJb+vWBhrWVWMZFu/8+CQIDo7jLMjyBUEgEvby8Se28D//7OCK9ndoeIrvfP89fuUf3Uc0+sHuB3gV3T3jvPbGBfoHVqal0jSZ9euq2LDu5m7nJVqM6LSjsG/cR4WrkkbftcbmCxnZGbZFV3KSREFHIEXK0Lk0OUa5x4ckikzpOcZyGRxgPJ/FIysookSpx4thW3hVFY+sLqkFkCCIlJcF2bSxhjffWl6T5VzO4Gx7P5UVwTkeO5lsgeMnepa1XoCmxlLqVkGEXVYVJlYRmvn79edOoLgUnvmnD7JxV+OMRYpjOxx4fDNf/f0XOPTSWTbsakS6jYbJa1sr2LunhZdfObtkD73rYdkOh490UlYW5OlP7yIWW/hl9cmntrN7dzOiwKzoosetsqalnIrrjhMUB2aBgBuXe/a7Yzye5tLlYd492onPq2EYFqoqzxBor1dj65ZaFEWisaGUQ+9cxjBMRsdS+P1uWprLmJzMUn8Tv7c7habgM1R470UWPHhXuZn5fPBcF/Fv2VCNbTvI8odnsHozOA5YloW0woKPZDqPbdv4PNqqmpffMqkSRYGSBUrsP0IR0aiPu/evYXg4sSJX45VCRKLas5HS6mYsx0BAQBFdyIv0QcznCqQm0hgFk5HeOE2basFhUe2lpsnctbeF5398mp7e+LL313Hg9TcvsLa1nI89trnoAvwBRiqV55WD53n3aOeKI4vhsJfHH910Sy938XrjQ0FAuEW9gEuS2VdRi2k7yKKAgMDOsmoUUcJybGzHQRElGgIRHBxEQcC07Rm9mSQIS+6pKAjFSMT2rfXLJlUA7x3v5r571s4iVaZp0T8wsaII6c4dDUQjvhWnBkRJRLzuFHRfHMHjdVHVUIL7hnS26lJYt6OBv/6vP8Y0LLiNOnZZlnjmc7s5dPgKicTSdZ7XwzAsnv/xKSJhHx97bBOBBaJ7Pp+LaMQ755hKsohnCRIR27LxeV188qkdtK2dNvEUBNxulZHRBB6POnO/SJKIbTk4TnE5SRIQRbFo9aPKK6rIvR4Fu8CbY0d4dfQtTNskqkV4vOJ+NgTX3nTZkNZGSCvOdzu7fHz1j1/m3YPnF5z+u1/5JQKhD472aznoH57i2VfPIIkibU1l7NnasOziru6BONlcgXXNFQR87wOp+gg3hyAIfOzRzbxy8DyZ7MoiGCveFwRkQUMRXYhIMF2kutBjbaRnnIvHu9CzBVq21FJSGcayii/WxaJV0YiPTz21gz/845dWVMJtmjb/+6/fJBbzs3d3M4oifeB0eo7joOsmL/3kLM8+f2LFaT9Nk9myqZYN629t9Pr62KucSRRtCganHdU98rWU35fqfp6gMn/FpiJKKOI1uxFl+uEuOcLMPNf7u8nX6fGWC02TaWyM0VAfo6t7ebqz9050o+smbrc6sy/5vMGxY13Lvt68Xo1tW+oWJAcrgW3bJCfT5DI6ju2AcO3Y2rZDfCSBoZusgj3aTVFdFebJj23m77757oorv3I5g7/5+ttYlsUTj28hGJybkl0IAvM/d2zbxjAsbNvBshwMoxh9KCnxo2oSAwMTtDSX4XarZLP6TPRrvs2qqkQ06mN8LM3oWJJkMkd3zzjVVbeuqbp6jhynaHFy9fc5jsOEPsUrI2/yr9b+Cm7JjW4XZgYdxf6GNjbFYywK4kzU2HLs6Sdv8f8lwUF0iteE7djTTdAdbMdBFERkYfnPvSee2cP9T24B4C//64956Klt1LVcq4733qTY4MOA/qFJmuti7NhQi9+rkdNNvv6Do9i2zT27WnBpCj96rR1ZFnlgbyuGafHmsQ48bpUtbdUYpsnhE13EIj4URWZoLMl7Z3tprImxZ0s94UUkL7eKDy2pMm0L3S4gIKBJyqoo/G3HxnQslBWI26JRH/ffu45vfuvd21B5cmuwMenPnOX45A8IqeUcKP1F4novGXNypiLwRmQSWYa6Rsmm8vReHOS9V89R3VzG/Z/dQ7Bk4ZC/psns2d3I3qNNHHrnyor2O583+IM/egnvv9HYtKkGRf7gEKurhOrg6xf41nePLlsndD3KSoN8/undtywgbfW1UapdLW+fS5EXaqgMC5Oj679f6PNyIQgCFWVBtm6pXTapSibznL8wxO5djUhSkZzk8gbHji8/9bd1Sy1lZcHb0r6iYW0F771+gWe/+jYf+8JeymoiiKKIaZi89+YlfvDXb7FuRz2ycvvTMYIg8PSnd/HGGxfp7V/5IE/Xi8QqlzP4+JNbiZX4piOmAm63Mm+0VRQENE2ZN71y4mQvL7x4mp6eOKoq0d8f59FHNtHUWMoXnrmL733vGP/xP30fy7K55542Hn14I6Io4PVeJQdFexe3u1j5Wl8fY/uOev7T7/6Q6soIoZDnlvo52naR0OVyBY6f6GZkNMknntw2qy+pIxTJUjGSKxKQizIFx3EYL0zwxthhziYu4pI0dke2sju6DcM2eW7wJ4zmxzAcg6SZ5pGye9kR2YxL0jgxeZbXxw+jWzrnk5fZE93GLzd+EWUZzZ0BwlEf4Wn5hMerEasIUfUBSYGuFnZsrOVHr7fzN997lwf2tnKpa4Sg30Us4ue5V8/yj5/Zz/17W7jQMcqpCwPUVITwuBWefmwro/EU564Ms39HE60NZZy6MIAiS6xvqeDdU90Mjyf/zyVVjuNwJnGZr3T+AL/i5Uv1H6MtcOutDRZa57g+xZH4WQ6UbiegLM/zRxAEHn90Ey+9fJahFbYtWS7yVoqTU8/R6NvFQK4dSZDRrTQ9mRMLkirTMLnriW00bajh0PMnaN3eQGVj6U1frlejVU9/ehcXLw0TX4YB6vVIJHP8h//8Q377Nx9j5/YGVPXOV2/cCMdxyGR0Dr5xga994xBjKzCbvAq/38VTH99KXe2td6wvd1dQ7q5Y8bbvJCIRLxvWVfHiS2fJZJdnwnf8ZDc7d9QXUz2Ow8hIYtkkTRQFtm2tpyS68tTffLjroQ0M98b5yXeP8eaPTqO5FCRZIpfVEYCq+hg/8+sPo67AxmEp8Ptd/NqvPMD/8x++t6LWNVdhmjZ/+83DdPeO8+Uv7qOutgRVlfj1f/bIvPOXlPj58s/un3fa9m31bN9WP++0yooQv/arD8753u1W+W+/98zM3zu2N7Bje/HZ7/e7+NRTO/jUU/M/465HkUiZ5HWTkZEEbx+6zE8OnmN4OMH2bfV87PHNM/MKgkBYCbIrspX/cfmv2BnZwtbwBqJqBBub9sRF0maG3177q4zkxzgcP0574hJr/I2M63GqvZU8Wn4vV1LdvDd5hmZfPeXuUp4bepmfr/881Z4Kfv/Sn3Nv7C4Ucfmv5Fy2UIyCUjTGzSTzJCevpX79Ic8d74O32rAdhwf2trJ7s843nz9OJOTF79VQFYmH9q/l4OFLJNN5wkEPOb2AqsgEvO7pyKCDIIBjQ143sCwbj0vB55nWi65S9PhDSapMx2IgN8aoPoluG/Rmhlnrr1/RQ9LCpjc7zKujR9kZ3bBsUgVQGvNz/71r+dZ3jlJYQUnzcuE4TvEB7lnPQK4d23GwsBY9PpZpMzYwgSSJxIenipqPW4QkiTQ2xPjkJ7bzN197a0Vl3FDULP3n//Ic/+xXH+KuPc0EAqtrzrgUWJZNfCLNwdcu8M1vH2FycmWtaKB4vDasr+Jjj22++cwfcoiiSHV1scny0fe6lrWOk6f6ME0bWXYwChbHVtBXsLoqTHNj6W3T7Xn8Lj7/Tx9k292tnHj7MkM94xgFk0DYQ/OGGvY+tH765Xbnruft2+p54vEtfP+Hx1fNAPLQO1fo7YvzzNN72LG9nkjYu2Lh8O2GZdkUCia5nMHERJoz7f28/c4Vzp0fvKnPnEvS+FjlA2yPbOLNscN8tftbPFp+PzWeSjJWjnJXKW7JRYWrDFVUGNfjrPE34pHd1Lgr8cleoloY0zExp3t0aqJGykwzWUigCDKKuLJr8pUfHOf0kU4ABnvifOev35zlF/br/+FT74sh7Wqio2eM9ivDpDM6m9uqaG0o44evnsG2Heqro3jcKkNjCSRJJBLyoCoSnul7PRb2MeBJcOh4J33Dk8iyRMjvQhRFvB4NVV0dXdWHklRNFBJ0pgeocpfiklR6skNkrDw+efYFM1VIUbANQoqfjJUjbWaxHBtZkCh1RVCn3cYnC0nihSTHJ8+Ts3T6s8NkzWJ6x6d4KFFDS35YfOyxzbz8ajujoyuPaiwVoiDhkUJM6H0U7Cyj+cuM5Tvxygv7IG24aw3vvXKW9sOXadlSR6w6sqTf7Pe7uHtfC2fO9nP02MoF3LmcwX/7wxc4/+gmPvOpHZTGAqvWn+1WcDXN1N09xg+fP8mrB8+vmCxeRWnMz8/+zL7b0lT3g4jysiAbNlRx/GQ3lrX066Kre4zJqSwV5UEKhrmiqr+tm+soK729RsWyLLFuez3rttff1u3cKkRR4Gee2cP5C4Mr8g27Ef39k/y/f/Bj9uxq4lNPbaeuNkow5EG9Tf5bS4XjXEvrZbMFxifSXLo0zPGTPbS3D5BI3loK33GcGb1UlbucJysf5tD4MU5OtVPvrUYWJAzbxHZsDMfAdmzk6YiTLMizDIav7zW6v2QXPxh8kVKthCp3BU2+2hX93m37Wmhcu3Ak+3baeNwptDVX0FxfiigKM95Uv/z0XVi2gyyJOI7D/h2NyNI1gtRSX7QCkWWJHRtr2ba+aENzveziwbtuvYn2zfDBuPqXAMdxGMlP0J8dYV2gAUkQ6cwMMJAdoTVQP2veF4YOcTndyyPle2lPdnB2qoO0mcMlqfxO289T4S5Btwq8MPwOp6cu05MZQrd1/teVbyNPl/TcFd3MF+sfR1hiC4KKihD33r2W73z/2LJeJCuBJvloDdzDickfkjUTvDP+t0S0araFP7ngMhPDU4z0xSmrLaGgm+Qz+pJNXSsrQjz96Z2MjSXp7FqZISYUR5bP/egU5y8M8slPbGfzxhqiUd9tJVeO45DXDUaGkxw/1cOPfnyajs7RVVu/3+/iM5/aydrWD1cabyXw+12saS6nrDTI4NDUkpe3bYdz5wYoLwuSmMpx8dLwsvbD41bZsKGKSOSD0c7nTkEQBAJ+N//oF+/lv/y/zzM0vHzD1BvhOPDOux28d6KH3TsbeeD+dTTUlxAIuPF5V7dUffH9KIrMdd0kly+SqHQ6z9BwgouXhjjbPkBX99iybGscYKqQZDg/hkd2kzNzTJlJKt1leGQPJWqE9uQlrqS7mSwUj22V++atfcYLE7T6m9gS2oAsSKTMNEFl+YS/qq7kp05DNR9urPYTBAFZEq77vPg1d7tNUD90pMp0LAZzY+RtnVZ/HVkrz4mpC/TlRmjx184qOwcY1xM8N/QWjZ5KPlV9f5GEpQeIqMUqKVVSuCe2jY3BZl4cfofOdD+/2PAJIlpxul9efqj+iY9t4ScHzzExsfKU0VIgCTLVno2UuZtJG3FkQcWrRJEWEUD2XhzE43fjcqv0Xxqior6E8BJH9LIs0ba2gqc/s4uv/M2bjI4mV/pTcByHKx2j/OEfv8SmDdU8+MB6mptKiUZ8+P3uVfFfufpAnprKMjae4vKVEV45eI4zZ/tXtbWDokg8cF8bn5iu0LmdcByHtJmjPzdGtTuGX1mZAHMoF2dcT8ykLuq85YQU3y1bLVRXh1m/rmpZpAqg/fwA9xxYy5n2fgqF5WmDWlvLqa2J3rEX/QcJkiTS1lbBL/zcAf7sLw8yPr4y7eONKBRM3nz7Em+/c5m1rRVs2VTLunWVlMYC+LwaHq+Gx60iy9KKdT2GYVEomOgFk8JVEpUrkErmGRqeorc3TkfXGD29cZK3GI1aHA4ZK8vrY+9g2iaqqNDgq2NvdDuyINEaaCJn53lt7B00UWVTsI1mXz0F26TcXYpfKYrHNUmjyl2OJqmkzSy6VWBcj/Oy/gaGbVCqlfC52o+vwv5+hPcTHzpSNVlIciXdR0DxUeMtJ2mk0USN3swwGTM/5+Uxmo+zNdzKp6vvxz+tk9pTcq35syRIVHvK8CteQooPTVSp8VZQ5lp5O5Oa6gh371vDD549seJ1LQWO42A4eRKFYQp2DlGQcATwyyWIC1RJhkqDTI6mGO2PF83ilOUJxN1ulV07GxgbS/Kt7x5bpYda8UH63okeTp3pp74uyo7tDbStraQk6iMYcOPzabhcRf+am41EHMcpaivyBul0nmQyx/h4mtNn+3nveDfdPcvvZ7gQBAG2ba3jy1/aj3STkdRC0C2DcX2KeCGJbhtIgoRfdlPhiuKRXbMIjoNDR3qQP7z0bX59zafZGm5Z0f6fnurkjbFTDOXiDOTG+Vdtn+ee2GbEW6xUKo0FaFtbwVuHLi0rWnD+whCmZXHyVO+Sl4Xi6HTjhhrKFmm/9NMOVZHZt7eZqakMf/vNw0xOrsy/aj7YtsO588U0o6KI1NaUUFcbpaYmQnVlmOB0RZ6mFqsFr7ZPEcViLsBximLkqwMdy7IxTAvTsDDNogVDMpljYjLNxGSGeDzD8EiCoeEpJiaW3tD+ViAKIrWeKn61+cvzTvfJXvaX7GJ/ya5Z3yuiwqPl9878XapFebLyIQBOTZ0ja+X4csPT+GQv8cIk/+X8/7htpMpxisfSshwsq3gsLcvGtIr/WuZ1ny0b07SwLJuR0eSKdaSW5dA3MMHpM31IsogsFX3Erv4387csIkkSsiRMT5Om/xU+0Fq9G/GhIlUOxQq9jnQ/jd4qyl1RvJKLSncJXZkBhvNj+JW6WcuIgsj28Fq88vsj0Hvi8c28+tp5UstwWV8uTKdAV/ooA7l2DFtHRCKgxKj3bafMNf/LtXVrPZpLYaQvTqQsSGgRG4WbIRzycv+9bUxMZHj51XOk06v3203T4krHKFc6RlFVmcrKEI31MaqqwkWCFfQUy7tlCVESkaYJlmU5WHbxYZHPGUwmssTjafr7J+jsGqOvfxLbvn1d3FvXVPDLv3DPstuiZMwcp6Y6eGP0FP3ZMQynWHjgl938bP0jtAXqbiDMAiHFx45IK8EVFF1cxX2lW9gZXcuxiQv86ZUfTm/h1qGqMg0NRc+q5eh6+vonSKfynD03sORloWhEuqaljIDfRULP0z4+St40EASBMq+P5lAURVx9oXXeNDkXH6UlHMWvzm0TYjsOk/kcflVDXSbZXgrcbpWHH9pAMpXnh8+euGVd0XJgGDYdnaMz6XNBKPY9DAbdhIIefD4XmiojKxKKXDz2tu1Mv9yLL/583iCbLUaiclmdVFpfNW3j+wmP7EZA4FKqE01UGc6Psi4wv67nKsEsEqHicTGvEp/rPpvmNTJ04zyGaaHrJnreIK8b5PIGum6Qz5vkr37WDfL56f90Az1vkM0ZZDIre37ndYPnf3SS199hWp5AAABljklEQVS8iEtTcLlkNE3BpSloLgWXNv33rM/X5lE1GUWWrhEyWUKWRGS5+J8kSdOfpenp4vR0aRaJu1PE7ENFqkzbYjA/xlBunKga5ND4aSzHImlk6MkMMZAbo8lXMysFqIoKbsk1Jy14p9BQH2PvnuY72oeqYGc4nzjIpvBjRNQaCnaW7sxxrqTemUOqDN1kajxJLqOjulVq1lTQebqXaHkIt2/5ZnEVFSE+/uRWdMPkzTcvkVpFYnUVhYJJd/c43d3XIkuqIuHzuXC5FBRVQlXkGcGqYVjk8gapVG5FrTuWira1Ffzizx+gvq5kWTe2aVucmLzCN3sPooky95RuodwdIW3m6EgP4pXnVkeKgkC9r5x/2rKwjm4pUCWFiKQQVQOzhLdLQW11hLWtFVy4OLTkiEI+Z/DKdMn7crBuXRU108UXfckEf3rqCFGXB6+qgCPwVEsbW0orkFf5wTul5/nzU8f4je17WRuNzZluWBYvdV3hgfrGOQ3Abxf8PhefeGIrhYLJT145R3xidVOBC8FxmHlpj4ysXBrwYUaDp5Yh3whdmV4cBxRRmoliXY90ujiQmJhIo+eLFhBXCZB+4+e8MTNd182Z7/N5Y9kp89VCNlckaMuBIICiyDOES5v1r4zLpVwjadPfFadPkzRVxh9w09QYo7pq5Rmom+FDRaoSRprLqd7piNUkzw++CYBuGxSmrRUy4dxMmg+Kkar3M3IoigJPfmwLh965TDq9PJ+epUNAkzxUezagih4sxyRrFpsq34hEPMWV073kUnmkaX3SpZPd1LXdvBfdonsgCNTVRvnMJ3eAA2++dXuI1Y0oGBYTq2B7sFpY11bJz//sfjZvrEGSlkdGxvQpXh87hYPD07X3sS28ZqaQwrStOa73ZxNd9GSGcQBFkNkcbqJ8nnR2XE/SnRmiRAvhklQ604MkjAyKINHsr6LKXTJTxbQaCIW8rGkpIxL2Mr5EPzPbcfjG3x9elou6y6Wwbm0FpbFrGsFyj49f3LSd2kCIb54/wzfOnWLNdDTpzPgI/ckEoiAQ0FzsKK9CEgQG0imGMyl2VVSTN016kpOICLRESkjqea5MTRDPZUkVdDyywrbyqmnvG4ez4yP0pRKYts328kpK3F5SBZ13h/r53uV2HByq/AGaQhGq/UEKlkVfcoqORLEVT6XPT0s4iibJ9KcSJHSdjFFgMp8j4nKzNhqbNxI2HwRBIBLx8vSnd+Jxq/z4xTMMj6yeeP0j3ByyKHEgtuem842Npfirv3mTS5dH7sBefTDhOMUBdKFgwjIzPqWlAX7m83s+IlXXw8FhopDgcqqXtkADH686MOM8mzKzvDB0iI50PyP5iVmk6lYhIiCLMjY2hr16TuiCINDcWMrunU28cvDcqq130W0iYNoGx+LfI6DEMOwc43oPDjbnEq8ADhG1lnL3GkRRoLy2BJdXQ5ku8Xd5NPzhlaeMBEGgvq6ETz+1A0EQePPtS6umsfqgQxAENqyv4ovP7GXzptoViaM70oN0Z4bZG13P2kDdDKECZn2+itH8FGcTXQzm4vRkhvnttmfmJVX9uTG+3/8WFe4SQoqXjswgWVNHtws8zh7KXdFVfUCIokBjQynNzWVLJlXAsgcldbVRGhtK560adcsKT7Ws4xvnT5Es6PhUjYFUku7kFLbjMJxJE9A0mkNRzo6P8GZ/N7sqqkkbBd4e6EURRVoiJRwfGeL4yCB+VeXQQC8hl5vGUAS/qpEpFLgwMU6px8vlyTiT+Ryfad1AwbIYSqcYzWYYzqSLqUiPD8dxGEgnean7CpIokjUMLsTHsGybzaUVnIuPcXiwj4jLjSpJGLZNY2hpL4sisfLx5BNbcblVnv/RSXr73t/WWh9hLhy4LTqx/9NQbCV0Z47jh4ZUmbbFYG6clJHhQGwb28Jts6b1ZoZ5bewYQ/lxGn1VS073KaJMmStK2sjy3sR5TMfCcRw8snvFonVFkfjYY5s4fKSDTOb2R6skQSGq1ZK1JjCdPJZjIgoSmhRgotAPOLilomA3VBogFAuQGE+huhW8AQ9unwt1lWwLBEGgoaGET39yBx6PymuvX2Bs/M57d91JqKrE9q31fOqp7WzaWHNLzZIXw5g+Rc7UqXKX4JfdFGyTQ+NnGcoVm1hXuUvYEVmLRy5GKu6ObWRLuJnD4+38ecezi647beY4n+xme6SVR8p34pc9TBppatwx1JtEqZbziKqqCrOmpYwTJ3tWxeH7ZhAEaFtbSW3NwvdwyFVMc2eN4mAq5vFSsC0s26ZjMk77+CjNocWd7y9NjuNXVX52/VZEQUQRRaJuD4ZtU7At9lbWcKC6nrcGevnB5XN8oqWNmMfLJ1vW8eOuS3ymdT21gRAAumVyPj7KocFeHm0opusvToxzcWKczaUVM/NsL69id0Wxb+Ryg/HhkIdHHtqAz6vxoxdOcfHS8B1NjX+Ej/DThg8NqUoZGS6lugmqftYHm2ZNk0WJZn8Nh+Nn6MkMsSW0ZsnRKlVUaPPX0+yv5fWx47QnO1FFmS2hVsrKd69o30VRoKW5jB3bG3j9jbkpuNWGIrrZGnly0XlkQZvetyL57Lk4SLg0gDfgwbvKrruCINBQX8Knn9pOOOzlhRfP0Nc/saIGzB9UBPwu7t7fypMf20JjQ2zFhAoga+mIgoBbKjYVtmyLzvQQl1J9nE/2sCnYyLpg/QypUkSZkOIlpN5co5OzdKJakPtKt1LnLbvp/NdjOS9yj1ulpbmcyooQXd2rX2V5I8LTKcfwIpHXiXwOAQGPojCVz/EPF86wvbxqxlwwbxXJ3/W/13aKhQ/K9P1T4w9yYmSQ71xuZzSbZltZJW5ZwSjoBFSNSl8ARZKIut1kTYPFLn3DspnS89P3h4BXUdldUc36kmvnp9zrp8TtuWVLi8UQDLi57561xGJ+XnjxDEff67qjhTUf4SP8NOFDQ6pUUWFjsIV1gSZqPHON1Zp9NXy65gG814nSN4fXEFL9RNXQTdcvCiJVnlI+V/swV1J95Kw8iqhQ5Sld8b4LgoDLpfDowxs5crTzpi0RlgsHm5HcZSJaNW4piGkXGNWvMJrvJKRUUOVZjyLOLz7PZ3TOvH2Jwc5RJEWmdVs9wejyKwDnQ1lZkMcf2Ugk7OX5H5/i4qUhCoUPfyXPVVRWhnjo/vU8/OB6ysqCy9ZQzYfrzWdVUeHh8h3cVbKe37/4rRWtVxREKlwRqtx3zjSwuamUpqbSO0KqmppKaWyILXgu0gWd718+x/pYKQFVYzCd5Fx8lP9090NM6XneGegFByRBQJEksoZBwbKY0nMMplM0hsIARN1FPzvdNGcIkFtRSBZ0JFFakIAKAiiiSM68JjlQJJGQ5qbM6+fRhhYibg+mZc2KDIqCsCqE6ircbpWtm+uIRf1UVYY4+MYFBgYmFyV/H+EjfIS5+NCQKp/iYe91/lI3IqT6uTu2ddZ3bYGGJTVaVkWFJl81Tb7qZe/nQpAkkTUtZezYVs+bb19a9fUDWI7Bmckfcl/ZP8FxbKaMIc5MvYhfKSVjTmA6Bs3++cWRNWsqEKa9Ym6n42ww6OGeu1spKw3w6mvneevQ5VXpp/d+wuVS2LK5lvvuaWPnjnpCwdXt7eaRNGxs8nYBBwdJEKn2xLAcG7e0stYTkiCiSeq82qzbhZKoj5bmMo4e6yKRuH0aO0WRWNNSPq84dSyX4W/OnsCnamSNAs+0bcKjqETdXso8Pv73mfeKx3o6EiWJIhVeP7Io8icnDqNKEtnriFDWMJjSc9iOQ7pQIGea7K26edsRRRTZWlbJ3547TXM4yu6KalrCUdZGSjgfH+UrZ97DoyiUuL3srqimPhhevQN0A2RZpK4uylMf30ZdXQlvvHmRk6d6Sf4fFrVyu9UPlS/SR/hg4UNDqj7sEAQBv8/Fww+t5+h7XeTzqyeGvwrHsRnTO5FFjYKdYyDbjkvysyH4EAPZdgZz7QuSKl/Qg+ZWSYynAAHrNuoqXC6FzZtqKCsNsKaljBdePMOlKyMfSv+Zutoo9xxYy769zdTVlqBpq39LlWhBXKLKaH6SrKnjlZdvdXEjhOn/3UnIssTaNRXU1kQ5k+i/bdupKA+xprkMj2c28azyB/jiui1kjAKSIFIbCNIaiSGJIiVuD7+8eSepgo4myeyrqsMtK0WLimCIL7RtYiyXIaC62FtZS0DVGMtmGEwnaQpFqQ0EMW2bdwZ7Kff6WBct5WfXb6HcV4z6VvuDfHn9VrTpwgVVkvlUyzrOx8fwKip+tdgaqsYf5JMt6+hMTGLZNiHNRWC6um99tJQaf5CYe/Xb7VwVsN+9bw2NDTGOn+jhtTcucOnyyPteln87IYoC9fUlbNtSx97dTbi0O9dn9CP8dOEjUnUHIcsia5rL2baljkOHr9yWbYiChGnrZMwJ+rKn2Bn5DAGllEl5ACO38Iiz42wf/ZeH0DwayYk0+eztFdQLgkBFRYgHwuuoryvhnXc7eP3NiwwNTX0oql1Koj527Wzkrj3NrFtXuerRqevR4K2g2lPK8cnLbAo1syFYf4uFGLf3OK5k7Y0NMRobYpy/MHjbhNHNTaU0N5XOOS9hl5sH6prmX0gQ2FNZM+8kr6KyvXyu1ciliXEm8jk2xco5UFPPSDbN2wM95E0Tt6Jw13URq4jLzb7qawbFRbIWnhOBUiSJxlBk3qq+Kn+AlRme3ByqKtNQH6M0FqC1tYKjx7o49M5lenrjH8rBz0IIBt20rqlg+9Y6WprLqKmJEgl7ZrSmH+EjLBUfkao7CEEQCIU8PPjAOo4d7171kZ8oyNR6t/HS0B8iCjIlWj1RrQ7LMTFtfcEWNQCZZI5QaRAcGOoaw8gbOI5z28PgbpfK+nVVVFaE2bm9niNHu3j1tfOMjiU/kHqOkqiP3bsa2b2ziebmUkqi/lURoy+GMleYfSXr+XbfG3yt+yV2RddSqoVIGlniepKAfK01k+XYpI0sWUtnTE9gOw7jeoKR/CRuScUjaUv2nrIcm4yZJz+9TsuxietJRvKTeGUXftmz5PSh16vRuqaCI0c7V7XB71X4fS5amsuIxZbfoPZWUerxEXW5ean7Cu8M9qJbFo3ByG1N1d0peL0a69sqqa4Ms2tHA+3nBjh0+AoXLg7dkerN2wG3W6GpsZQtm2tpXVNBZUWI8rLAR2m/j7Aq+IhU3WFc1Xls2VzLkaOdq7puUZDZHPoY43rXNKmqQxZVLMckpFbikhYWnq/ZUo+sSvReGCRWFVmRm/pScdWMMBz2UFtbwp7dTbx3opvD73Zy6fLwHduPhaAoEtVVYXZub2DrljoaGmJEwt7bTqZmti/K7I6uQxBEXhs9wQtDRxAQUEWZSneU3dE23FIxNdSTGebPrjxL1sqTMDLkrALf7nuDl4ffo0QL8PGqfUvuA9idGeIfel9jKBcnaWZJmzmeHTjEm2OnUUWZL9Y/xLbwmiWtUxAE1rVVUlsTvS2kqqYmwpo15XfkHAU0jQfqmtgQK8NyHAQEyrxeSm5Deu79wNXBYDDopq62hB3bG7h8ZYTjJ7o5ebqPsbHUB76SNxR009Jczrp1lbQ0lVFeHpxuyu5a1YKSj/ARPiJVdxiCIFAS9fHAfW0cP9GDaa5eKF1AwC+X4JOLKYOrkSkRiZBSgaNUzLvc8YPnOPfuFUzDQs8VsC2bTfvW3PFRmyAIRMJewiFPUat091p6esY5fLST4yd6GL+D/laiKFBS4mPblnq2ba2joT5GJOIl4HetyMhzufArHu4qWU+rv4aUmcVybGRBwi1phFX/jGC9zBXmSw0PYztzU2qKKFPhuua31OSr5J+v+TS+m/TFLHNF+FT1AXR7btWqgED1MitkKytCNDeVcqa9n2x29SpiiyajMZobV165e0vbEwRKvT5KvXemzcz7BUEQ8Pk0fL4YVZUhtmyqYSqRo7NrjJOnejlxqoexsQ+GB53P56K+LkpTYynNTWXU1kQIh70EAm68HvV9uYc/wv8ZEJw7MMQYG08xOZlZ1mimeCO7qKwIrf6OvU9wHIdstsDA4OQqjvCEZfsiJSfSZJM5jv7kLGW1JdSuKSdcFkRzr6yybKVwHAfDtEgmckwlsgwOTnH+4hAXLg7R2Tm66lVJkbCXlpYyWteU09xURlVlmEDAhd/nRlXl97Xd0a3CAUzLQp7WhBQsi0zBIOx2kcjrdE9OUhsK4lYUsgUDv+vONPJdCPF4msnJDNZNmlkblk0ir1PivRUPNYFwyENJif+2VrLeDgykk/zJycP0pRIooohHUXmwtomnmtcBRdPPH3VdIub2sL+q/v3d2WnkdYN0Kk8ylWd4ZIqOjjE6ukbp6hpncGjytpqJCkKRQFVVhqmuDlNTFaGmJkJlRQif14XbreLxqKiq/IG+FhzHZijzMr2p77Oz7A+xnQI9qe8wkb5CqfUb6PrihU1ZcwAQcEkxRKEostetCS5P/iVNoS/jlpfmQffTBlmWiER8hEOem8+80m0tdQHHcchbcS4n/oF4/gwiMhHXetaEnkGbdum+EbESP5Kvj770K6SMHtZHfpmwdq0j91DmEH3pV9DtKfaV/96i2p9bRbLQhSS4cMsxRGH2zzSsNCfjf8TO0n+34u0sB4Ig4PVqrGmZ67f1fkDVFBy/gySLaG4Z901C4rZt89573fzVV17H53Ph9Wrcd/867r67dUXRrf/+Ry/x+Mc20zDtKyQIAqoiU1LiJxr1UVcbZcvmWvJ5g3RGZ2w8xfBIgpHhBEMjCcbGkqRSOnm9QD5fbCxqGBaSJF5rsqkWG3CGQ15KS/2UlQYoKw1SXhYgWuIvdkp3FZtzyrL0oSBSV9EzOcX3z57Dq2psKC9lV201WcMgns0SdrtwHIeRVJpUXqc+EubC6DhbKsuJ+ZaXpnqnp5cdNdXIgkDBsjg9NMy26mKfvMVwcmCId3v7yZsGmyoq2FlThU9bnMAn83kGkylaS+c2Jf5pgm6ZFCyLp1s3sj5aiigIBNVrqXhFlLinumHGdPSDANd0M9to1EdNTYRNG2pmGvqm0zojIwnGxlOMx9OMj6cYH0+TSGWLjX51C71QbPhrGDaCUHwBSpKILBfvW6/HNR0h0/D7XITDXmIxP7ESPyVRP4GAC1WVURWp+K8qoyjSh04fpduT5M0RMkYPihRkIn8cZIf66pt7yPWljiKJbkrda5HF4v2cMwVyYwVaSqJ4F8hS/DThanhivrNuOw7ZgkFK1/Fri/fING2bcyOjBFwa1YEA8hIHnUsmVYad4uLU17GcAttj/xoBEQcbVVw89B1Um5ACLton/hLTnh1hiLm3oElBjo79LqtVsTSUfQe/UocmheeQKln0sCHyj1dlOz8NOH+sk4vvdaJnC0yMJDh/tJN7PrWLivr5X2COA3reIBr182u/9iC9fXF+8pN2JEli376l6XWux+hoEn0BqwlBEFAUGUWRCQTcxByH2poIpmljWjaWaWFaNrbt4DgOju3gOMVBAEJxeUEQEKc/i5KAKNkosoYsSciy+KHXVlwei1MXCrO/sQ6vqpAtFPhh+3nqI2GaoxE0WcKvFXvRmbZNR3yCcyMjVAQC7KypZDCR4szwCOvLSvGoCj5VpS4c4nBvPw2RMMf7BxlJp9lXX4smy3ztvZNcGZ9gS2U5Bcvir44ep2cywaaKMhRR4uXLHUQ9bvY31FHmv/Z8yBoGNaEAGyvKeLu7j/aRUaZyObonJtlWVUlzLMqPzl9iMpvjQGM9a2Il/KD9PGV+P2tiJYym07x44QoODpsqygm6XLxypYOY18u+hlpKfR/uNJwiiVR6/TQGZ1f+dSUmea7zAkeH+3m6dSNPNK6dmfa9K+cwLIsz8REG0kl2lVXzpXVb8CoqZ8eH+dNTR8jbJlXeAL+6eQ9ltyFVKQgCiiyh+CR8vuK95zjFSk/Lmr5PLRvLtLFtG9u5do86jjPrrSgIRaMPQRAQRAFx5j8RSRSQZBFZKt6zPy2VegIiHqWaZOESEddWCtYkXqVYKVqwphjMvMxI9g1kwUO59z7Kvfdj23mGMq/Qk/oWDjYDqeeJurdT5X0MKBpCdyT+Gt2awLYLtEV+A7/ajIPFRP4kPcm/x3IM/GojDYEv4pKjpApXGM0ewsFkSj+LSyql2v8kIW39+3l4FkXBsnju3EWSus7P7dg6Z7pl2yT1Iu+4GakSBQHdsjjaP0CkxU3gdpIqx7HJmsOM5o6zv/y/4pavahaKVWI5c5ye1AsMZ99BEX3U+R+lwrsPSVCRRA1NDMyEJmfthOhBk0Jz/HIsW2ckd5SO5HexHYuI1kZL8HO45DCmnWcoe4ie1Avo1hQhrYWmwKdwyxG6kz+iM/UDJMGFS4pQ7tlLvf9xVMnPYOYtulPPkzWHebD6r2a2ZdhZBjKv0518HklUKHfvoTHwCWws+tMHGckdwXFsdGuCat8D1PoeRl1E+P1hwvo9zbRun22Sqt1C7z9NUygrDxIMeUil8rz6yln27Wuhv2+CH/7wOB0dI2iawv79rTzw4Do0TeHQocuMjiQZHJykp2ecNWvK+cQntlMSm30sv/bVtzAtmy9/+W4cdAYzLxHPv4eDRZnnHiq9DyHL0rK0EelCL33p7yJaGiFpHTH1LsZyhyj13IXA6j2g/5/T3+D0VDcO8JXd/5yI6lvS6NlxHL7dd4ivdR3EJan84+ZHeKB884Lz762r4e9PneHPDx/lZ7ZtpioYYHNFBZfGx6dfUsKsKFLY7WJtaQ3j2QzfPn2OzRVlfGL9Wo72DXBycJhtVZVUBYN0T0zSMR5HlWXqwiG+d+Y8/3T/bkp9Pp5oW4NP00jpOjWhII+2NpMtGLxypZOgS6NgWRy80snnt8427tUUmainGIo/0ttP2O2iKhjkYEcXoiAwlEzxYEsja2IlaLLEjuoqjvQNAJDWC4yk0/zavt0k8nle6+gm6HaRNQxe7+jms5s3LOEsffDQm0zwr954AY+iUO7x87nWjTxU10yNP8jnWjeSKOTJGLM1aOmCzpsDPfzSxh00BSPIoohbVihYJv/tvbf5D3c9iCKKvNx7hb84e5T/a/d9t/13FAcyIIrSHSvq+DBDQMSn1JMoXCCgrkUR/YCD7RhM5E+Q1M+zMfqvyZmjjOcOMy56KXXvo9L3KFlzAEUMUOF7EFUMIgku8tYYeWuUSu9DlHruniZf32ZD9Lcx7ARdyb9lffS3cBybkexr9Ka+zZrwP8Z2DJKFi/jVJjaU/FtEFCThzhUuLQeWbXNiaIiQy0Uin+ft7h4GkikE4J7GBmzb5mj/AFsqK0jpBd7q7sGxHRRJYkNFGSOpNOdGRtldW832qiqibjed8QmW4+6zNFKFRcYYwi3FcMvX+78IWE6B4exhctY4u8v+PWmjj+HsYRTRR5ln55J3zHEcsuYIPakX2BH7HUxbZyBzkO7Uc7SGvshY/gSjuWOsCT1NWGsDHERBRUSmOfhZ0uYAEW0dFZ59KKJ3hsyVe/YQVBt5ffDXZ7ZlOxaJQgd96Z+wq+z/xrSz9KVfoTf9E6p995IxB8Gx2RD5ZbLmGMPZwyQKV4i5rzHiXN7gt/5/3+VS9+jMd//ff/Y4e7c2zDuSmkrm+M5LJ/n7547NfPfI3ev4tS8ewH2HjedUTUFd5javtuCprAyTSudJp/OUxPw8/bk9uFwyFy4Mcf78AF1dY6xdW0mhYHL6dC8PPrieL395P4IozjbMFOAb33ibdFrn537ubgQBBDTKvfejSVEK9hRl7rtJFi4xknkdSXTjkatQxAB+tYWM0YXtmBh2ioR+jpC2joh7+/QDqoiM0UVAXUPMfRey6CVVuELn1FfJGn2EXZuRBQ/96efRpAhlngMYdorR7JvIohdNiqJJJYS0DUwV2pEEFyFt3bzHRpMUkkYO3TYYzU8RVn1LstnM2wZxPUW8kKJMCyHdxJvKrSr8zNbNTOVz/OW7x/id++9BkUSsq9E7wHauRRDcikKZz0tK10nrOiAQcLmwHQfDsjBtC8Oy0E2LdKFAVVDFp6o8uW4tPk1DEUU0WUYWRWRRQhElNFkmUzDIFAqUB/yUer2UzRM5chzQLQvHdsgWCkQ9bryayoMtTbTEopT5fTx77gJTeZ276mtRJQnLsXEcB1EUiHg8eFWVZF4nVzAoD/iIeb2U+5cWgSlqGm3yxkUS2RfIFo6jm91YdtEEVxJ9KFI5mtyIR9uGV9uFJtdPP/tuT3qp2h/gVzbvYkusopgCnx4py6KIV1HRFhg5bywpoy4QIuK6pjvrSExwZnyEf/HajxAAG4e2yIcrheo4FsUwVvF3LzWtd+yNi3z9j16ir3OMzXuaeObXHqBlw+JdM374tbf5u//5CmbBYu+D6/mX/+XpZe79rUMQRFQpzJR+lqzZh19tRrfGMew0OWsUr1KLW65ClaJM6WdIFzoo89yNLLgRBQ1JdKOIgZn0H4AqBgm7tqBJJQS1NsZzh3CwSRU6mMgf48TIvwOK0fyoa9vMcpoUI6i2oYmLNxK3LRvHAVESpn/DnU+5Oo7DVC4HjkOJ18OJgSEms3m2VVYiiQJHevt5Yl0r1cEgU7k8ggAeWSHicXM5HkcAdlRX4ZJlroxP0BiJrKgF1DKq/xyEeR7uupWgYCfwK7W4pCiK6GEke4S00U8ZSydVNiaJQicjuaO8M1LUPgnIVHjuAhyyxjASCjHXVgRBmhF8C4KAJKiIgoQkqMiiG0m8ptcQBRlJdM16HtpOgVShl4Bah1sqxZYMfEoN8fwZqn33IgkaAbURn1KLKCgIgohhZ284LA65vEHmuiqm9itD7N5cz3zR6UxO50r36Kz59YJxu/0abxuKKbdi5dXERJqXXjpDT/c4um6guVQ2XPcQq2+IUV0TxeOdG4Z94YXTJBM5fvO3Hp/lGyOiFI89MoIgYVhJJNFNQ+AZUkYH6UIXXqcO3YozqZ/FJcXwqY1M6eeKJMh1LXpR4tlLX+p7XJr8M6r9TxJQm/GpDdT5P4PpZOlPP0ud/1OYTpbBzEuEtHXIoo/6wNMU7Ckm82cZzb0FDniVhR/O5a4Iiiih2waD+QnWBKpYyos4Z+pkzGIbl6DquamT+tG+fk4MDJEuFNheVUXPxCQ/vniZeCZLYzSCIom82tGJNJ0KlUURURCRRZH15aXkTIM/eftd6iNh9jXU8V7/AMf6BzAsmwdbmni3r5/JbI61pTEcx2FDeRl/8e4xHmhpoikaoTLg56+OHmdfQy2bKyv4yeUOGiNhQu7Z+y2JIif6h3inu5ft1ZV8vn4jr3V2c3Z4hNZYCe4phRMDQyTyOrbjMJhI8uOLl+iIT3K0b4DygG/GkTzicbOhopSDHV00RsKEPbfeDNxxHAxrmJHE7zOVfQ7byTJbmeFg2RMUzB4y+hEmMt9EEoNEfV+gIvSvb3k7S4UoCLhlBZ+6eJriRrgVBVkQZ73YHAeqfH6+/thnkaaF2h8mpZHj2HSP/TIp/S3WlD+LJrew1F9gmRa5jE42nSefLVY33wxGwSKbymMY1oKShNsBQZAQUUjo5whqrYxmi/0xZ585B+eGF8VCR0QSXNPvLAEBEZtrvz2gtrKr/E/mjc4X35PaoiTJsR1+/3f+gbdfOst//N+/yLpt9e+LBtV2HA52dBH2uDFMi0PdvTRGI8S8XnKmgWFb4BTnM20bRSoOBt2KgiSInBka4dzIGH5NxaHYKN20bSzbnhnILYUsLolUCUi45TKy5igFawpVCl03TZg+OcWTZmPjLEDAbm1bxRNb4trEXeW/iyhI02aQ1x56jlDcjsR8Izdh+sK7NZZSXL9dnN9xcLBm9l0UFByuf1gtvl5RFLBth/MdI9jzVPc5jkMmV6B7YKK4p4Iw05H+wwbHccjlCvT3TRAKFV3FT5zoIZnM82/+7ce5fHmYdw93zFpGVeQZIfqN8Pvc9PbEaW/vZ+fOxgXnEwUVRQwiCBICEg42pp3GsnVsx6AYTFco9dyFV5ndg01AoNr3cUw7yeWpv6It8uuIyFhOHgerODIWBBzbAqcYAVWl4rY0KYokaIxk3yXm3oNXqV/w2JS5gsjTRRdD2Ulsx0FawinOWjpps+hsH1BuTqp219awtbICSRQRp4nTb92zf9Y826oq5yxX6veyp66meFWvK16voiCwo7pyRosmADtqqrBse2bdn9jQRsGyUMTiOXpm66bph1bxN2+vrsRxrvXPu7af1eyunU1GvxwJz1p3S0kEBGGGAP7TfXtnzV+/vWisqckyu2tr2FlTPe+2FoNpjdA38Zuk8+8AJqLgQRDcqHIFkujHtnUsewLTTuA4BRyngCj4UOV63o97tWCZpAo6umWRM03SBR2XrMxUes63R03BCCDw7nA/m0rKsKdfGqWeD4furGD2oZs9OE6OD+2IcwkQkPEotYznj1HuvZ9R3kYRfbikckb1N8iZg+StUUw7TVjbOLOcLHox7Qy6FUdAQhK0mTXOtxWf0oDlFJjMnySgtuJQtPbRpMis+RbD6NAUgz1x8tnCde/m9yNSBb2TCf7VfXeTyOX5X4eP4JJlJFGYuTfOjY7yTk8vAZeLCr8Pt6KgSBJuRcatyEzl8yTyeTRZJp7LcXpwmPOjY8S8Xg401qPJt06VlkaqBBGvUkFYW8OFqa/RFPwkAhKCIOKSIrikKBP6eVJGHxljAHDwTY/kDTuDbk1hOToFO0nBSiKLXkRBQrcS6NYUtmOhW5PIghtZ9OJTarCdAmO5EwTUehxsREHFJYXxKhUkClcYzR4jpDUDoIg+ZKE4UtXEEAVriqw5iluOIgseBEGc3tYkjmORN+OIgoYieggo9fRnXiNZ6MZy8qSNASJa21IOzwzqq6L0Dk5wuXsM07JRZGfO6DGVzjM4ksDn0Qj4NAZHk8va1vsJXTcYGUnQ0THKu+928Mijm7BtB0EAVZVIJLJ0dY0xNDzFVupuvkJg374WHnl0I//9v79ENOqjZaZCUkAUNGSxeH5FQZn5rElRHMekL13U0UVd2zCdLGmjCxDwKLO3PaWfY0o/g2GnKXHvQBRkgtpaelLfosS9l6h7Oz3Jb6FKYaLunQiCiCRci4C45BI0KYooKEjiwtGEclcYZdppfCg/OWd0eTNkzQJpsyiuDCoevPLNIxfqEm7+G3FVGHwV8xGUG7+73o5BEIQZQgVFYraUoev1615qxc1St+U4NuPpr5LTTwEmilRBaeDXCHk+jiSGZo6D41gY1jBZ/Rip/Js4FPC79i1p35YCWRQJa+55bS6ODg/w/Y7zdCQmOB8fYziT4lMt61kTLsGrqKi2NSdtockyv7v/Yf745Dv877MGXkXh862bPjSkKls4ge18MLyvbjckwYMoafiUOgr2JJLoQZXCiIJCxLUF3RrnTPx3kQQ35Z57KXHvnlk25t5Ld/IfaB//PUo9d1HpexQBCU2KIEwHHURBQZOiReNgKUxb+J/Tmfg6lpNHk8LU+D+J5o4gCAqKGEAUFq/IvdI+QHIyc1uPya1AlkR+5/4DQDFy/e/uv2fW9KZokSjurZvb4HxvXbEllWXb04VMxftna+XyqyWX/ARWxQBtoS9zIfF1Do/8e2TBRcy9lbbwz1Hq3kHBTnEm/ifIoptq731Ep9n0YOZNhrPvkjfj9KR+RKrQRb3/SVxymMuJfyBV6EUUJM5O/DlR10YaAx/Hq1TQGvoinckfYDl53FKM+sDHcElhSlybMO0sPekf05HIENAaqfM/TlAtCq6rvAe4kvgOo7njVHj3U+O7H0XwciXxbVKFXmTRw9mJPyOstdEU/CR+tY463yOcnfgzREEh5t5KlfdewEEVAzjTEThRkHFJEWRxYb+Lmoowg6NTTExlGIunqa2c3a5CL5j0DU1imBbRsJeK0tCHilQJFEXqY2NJ/ut/fZ5QyMuDD61n585GAFpbK7l0aZg//7ODlJT4WdtagWta+O7xaAQC7nkF5rGYH1VTqK6O8LM/u5/vfucY//I3H0NVZSRBJeK6JtIOam0Ep0mvKoWo8n2Ma6np4o1hO1YxgnpDtDTi2kxIW1eMrAoiAgJVvidwMKe1dw7BaZ3UTGh8uvLFdgwsW8evNuBTZ4v7b0SpK4gy3RJmODc5b9RyMeQsncw0qQooHjwLkCrLtkhbOjlTx7AtLGwkBBRRxiNreGXXgnqsgm0yVciQtwqEVC8+2UXazJMycliOjUtSCSoeVFFGEAQyZp6EkcWwTWRBIqB48MmuxdMEjoPhWGTMPDmrgGlbODhIgogqKnhlDbekLtrPMGcVGMlNIQoCJVoAt6Ri45A2cmSt4u92cBAFEVWU8Uoabllb8HfbToa0/g6WkwJEKkP/NwHPI3NeJIIgocpVqHIVQc+TgI0g3D7P5Fp/iN/eeWDeafuq6thXNf/g5FMtC1dmrYuW8r8e+MSq7N+dhOPYZAsnp/VtP90QBJEq36Mzf5d6isR9ffRfAaBKQeoCn6Yu8Ol5l/epDWwomZuS3lL6H2c+B7W1bIn9++L2gKh7O1H39jnLBNRmAmrzovvrOA4d5wZITmUXne/DgqVEuG+GJT8dBEHEp1azI/Y7c6a55AjNwU/THJx74uv8j1Lnf3TO9wAbIr887/eSoFLm2Tmv0F0W3VT77qPaN38VS1BrZnvpv57ueSfPvBzXR35x3vkXWp9lF6j2PYgiFlMvbrmUNaFn5l3HVVSUBlAVmbxucrFzZA6pyukFuvrjiIJAwOsiErxK0BZ+6ZqmTTZfIJPTyesmpmnhOMz4urg1hYDPhWcRw07TsphMZJmYyuL1aMQiPlRFIq+bJNM5snljxuFdliTcLoWg341Lk2e9NEVJZOeuRnbuapx3O01NpfzGb8x/rnctsAzAr//GIzOfN2+uZfPmuSOLhTBfmnkxv7Mbq1CLKa6r3wlzKlGvQrfi5KxhPHIlbnlxn7GYFkSdJlXLilTdQKq80uz0n4NDspClMzPCW2PnOTnZyVBukrSZwye7qHBH2BZu5J7SDdR5S/Erc/VGA9k4f9nxMu9NXOEXmh5kX0kbzw4c4Scjp8kYeVoClXym5i52RlsoWAbPDx7juYFjDOUnKNECPFqxjc/W7iOgzD/IMG2LyUKG9kQvb4+d43yynxE9gWmb+GU3Db4y9pS0sjPSTI0nNkPebsSZqW7+5fGv4JFV/q/1T7MzuobLqUFeHTnNiYlORvJT5G0Dn+SixlvC7uga9sXaqPXE0KS5RRimNYptFzVUshjFo22/6ci8eI3d2sPXcRxsJ41lJ7CdLI5jTK9DQRS8yGIEQVicjM63TsfJYdlJLCeD4xRgRiMjIQoaouBGFP2Ignvee6IYeRvBtOOIgmdadC/hOBa2k8a0p7DtHGABYnGdonc6eqcueF8U121j2ZNYdgrbyc+sQxBUJDGAJAYXPca2U8C2M9hOFtvJY9spsvp72E4xGpI3LmM7BW5MMQlIKFIpsnRzP6fbAcdxKOgm6USWbEbHKJg4DkiSiMut4At6cHu1W7JsubquTCpHLlPA0A2saQ2YJIkomoLHq+ENuFG1m7++k5MZ4iNJLMumpql0Zhk9Z5CczJDLFrBMCwRQFBnNreALuHF7Z+upTMMil9XJZwvoOYNsJs+Fk71kkkXN50DXGJpLmWOwKggQjgWIxG69Ut5xHJJ5nYl0DsMqRl9LA15cisxwIk1ZwIemzP3tjuOgmxbxdIaq8DXPzIJpMZXNkc4X8Ls1Yv75ffl002QinSXkceNWl18s9lPRpiaezswc7JIbDti43kFQqcIlBTDsPIadRRKKF4xp54v5Z1HGtHUkQZ3R40iCgo1NsjCAjUW5+9Y9OjwulVjERyqjc75zmIf2r501PZc36O6P43GrVJbNb5h6FaZlMz6RpnsgztlLQ5y7MkTv4ASTiRwFw0RVZMJBD/XVUXZvrmf35jqqy8PzugcnU3m++aPj/O0Pj7FnSz3/6PP7CQfcHDvTy1vvdXC5e4yJRAbHgVDATVNtCQd2NrNzUx2lUf+qsvkPK9xy+U3J1LV5VUKqFzEjMJqfKkZoRGdGQ5ex8nSmRmbmrfPEUK8jADmzQMbMIwkiAcWNS5r9QhrLJ3l24Ajf73+XiUIKSRDxShoBxYPl2FxODXIx2c/Lwyd5unY/j1ZsI6LN/3BLm3n6suN8r/8wLw+fpGCb5Cyd9yauMKEn8ckuTk528b3+d7AcG0kQGcxN8Nddr+KSVH6m/p456zRti67MKN/re4efDJ8iY+XRRAWXpKDJGjmrwPGJDo5NXGFjqI4v1N3DzmjLTMud+WDZNpdTQ+Qsg7/oeJGR3BRuSUUVZTySSsbKc3qqm7NTPRybuMKXG+5nS7hxJg17FdfrLYuRp6ULUheCbecomL2k8m+Qyr9F3riIaY8jICKJEdzqBgLuB/Fpd6EqNYsSlVnrtPrJ6MdI598hb5zHsIax7QzFKsUAilSBS23Bq+4i5P04InMtPCw7zWjyT4mn/wqPuoWG2F8hCl7yxiVS+ddI5d9ANzqwnAwiLhS5Eo+6iaj/Z3GrC1tVWHZquoLyx2T0I+hmL7adQhRcKHIVXm0XAff9uNXNyNMpqBuhG50kcy+RLZxCN7somH04zjVPw57xX51325IYpCzwL4gF5h8w306YhkV8NMn54z0cfe0Cl9v7iQ8nME0Lr99NTVOMbfvXsPWuFmpbytBcyrzXmOM4FPIGA93jdF0Y4szRTrouDDEyMEk2lccBPH4XpRUh1myqYfvdrbRtrSUUXdym5dDL7fz1f/sxiYkM//17/5ymdZWMDk5x8u0rvPNKO53nB0lNZRElgXCJn/o15Rx4fDMHHt88i7sO9cU5/Mo5LpzsZaB7nJH+CfLXFVn90b/79rzbVzWZZ37tQT7/K/ff8jGdyGR5uf0KRzr7KZgWiiTyud2bqA4H+S/Pv85vPXY3DbHInOUcYDyV4Ycnz/Or9++Z+T6Ry/PKuQ5ev9DJppoKfvWBPXOWBRiaSvHXb73H0zs3sq5q+Q70t5VUWbbNZCbHaDJNWi+eAJeiEPV5KA14Z+kvVoLXL3TzF68f4RcO7OCzOzfOmpY2R/HKUcDPWP4iU0Y/HimKLCikzTEU0Y0kKOSsKVxikIKdwSUFuFr9k7Om8EhzT+Bi0HWDNQ2l9A5OcrFzZNY0Z7pKsHtgAp9Xo6YiTN/Q5PTUuTdHLm/wvZdO8YNXTpNMF8tBXVrR9dvr0TAti5F4isHRBIdPdLFjYy3//Mv30liz+KhtKpmj/dIgPYMTvPjmefSCidul4vNoGIbF+GSakfEU757s4Yn7N/Bzn9pNLOpfUanpasG2HTJZneHRBOlM0QrA59UoLfET8C9t9H+7Ue4KcU6UyFkFEkYG37TY3HQsjk908m9OfRWANf5K/t36p2n2X8vlF4XqebyyC6/snnXspwoZ/r7nTX40eIyUmaPSHaHJV06TvwK/7CJt6lxODdKRHmYoN8FXuw6SMXWeqbsb3zwRKweHI+OXiLmC7Im2UuoKcnKyi/ZEL12ZUZ4dOMq5ZC/N/ko2heoZzyd5dfQ0SSPLs/1H+HTN3lmkz3ZsBnJx/q7ndV4eOokqyjT7KlgTqKTKHUURZcb1JJdTg1xJDXFmqoe/MF9CkxS2hRtn0qY3wnQsDo9fZMo4TtbU2RZposlXTlTzU7AtejKjtCd6Gc5NcnKyixLtGGWuELXe2TYCshhBFLyAgGGNkTMuokhlwMrsTCw7Qzr/NmOpvySrvzedUvYhiUFwwLInSeZeJJl7iaD7ccpC/wK30nqTdSZJ5d8invoaGf0IDsVojTAdmXKwMO0pTHucnHGGrH4Sn+tuVHlx3ZTtFCiYg5j2OKPJ/0lGP4KAgiBoCMjYTpq8cQ7LThD0PLog+TOtSaayP2A0+T8xrCFALkampAg4JrrRSd64QCL7IhHf54n6nkGVq+asp2B2k9YPUzD7AVCkcgxrCMfRp/+uRpjH5/BqFOxOwyiYdF8a5rlvvMObL5wmn9FRXQpur4ZLUNHzBmePdXP63U4Ov3KOT/3CAXYcaMU9T9UzwPhokj/4N//AlfZBACRZxO3V8E+3VsnnDDrODXKlfYDDP2nn8Wf28Pjn9xC+xSjQ5FiKod443/jjn3Dw2RNIoojmVpAViYJuMtgTJzGRoaohxj1PbJm17NjgFGeOdDLYXaxGjMT8xEdT6Lnie72kIog2jy2PoskEltAaxrJtXr/QzfnBMX5m7xY211SQMww0WWYyU4ws98UTpPUCtu3QWBrBp6k4wFgyzWQ2xz2ts2UZMb+Xj28tSkUmM7lZ0zJ6gaGpFNlCgWROx1iFXry3jVQZlsWVkTgvnLnEe90DRX8IBxRZYl9LHV+6ayulgTsjlsyaE8iCyrjeiSJoRfsHRHAcVNHDWP4KHjlMzppCFjXCWj1dqTfxK2X4lTJsx1zS9gqmRWtDGQcPX6arL45eMHFNX3C27TAxlSE+maGproTaijDd/fHpJeemh9wuGVkW8XmL6bqyqJ/KshClUR8uTSGT1bncM8bpCwOMT2Y43t7HV793hH/7Kw+jzhMivYrRiTTff+UMk4kMkaCHtU3l1FaG8bo1kuk8l7pGOHNpkGQqz7OvnKG+KspTD21CU9/f4KbjFI/fq29e4M3Dl0ml8wiCQDDgYc+OBu7f30ppSeB93cfrUeYKz+h6hnKTVLmLvi+6bXJysgsAEYGEkeV8sm+GVNmOQ9bSyVo6Fe7wDBkrTrN5ffQsr42eIWXmqPXE+FLDfdxXuhGXpMxEwgq2yasjp/mbrlfpy47zo8Fj1HljPFS+ZV7iOaonuK9sE8/U3U1Q9XIsfpn/cel5LqeHeHn4JBtDtfz6mieo9ZZiOw4JM8PrI2eJF1L0ZsdY47/2okybed4YbefV4dPIosSWcCNfqD/AplD9LMLUmxnjb3ve4ODIaTrTw/yw/wg1nhIqXOF599F0bM4l+wgqHj5RtZtP195FiXbtfGfMPK+MnObrXa8xkItzarKLC8l+ajwls9YnSxHc6nryxnlsJ8N48i+RBB8edSOC4F4WMXccg3T+bUaSf0SucGY6KtWGW9kwTdgcdLOHXOEU2cJZErkfYzsZqiO/hyrPL4y17AzJ3KuMJv+YvHEJAQ1NbkCV61DlSiQxiO3omNYEpjWCYY0S8j6JLAVv+htsJzsdTStGp7zaLlSpFlmK4mBgWmMY1jCa3IQqzSVBALadZyLzbUYSf4DtpFClGtzaZtzKWiQxgGWnyRsXyRZOUTB7iKe/BljE/P8IWZoti3CrmygN/Op0WhYcJ89w4vfRzWL1cCzwj1ClSuak/wQFTVlYVnA7YFs2gz1xvvOXr/PGj0+juRSaN1TTvL6KitoosiIxOZqk4/wgl88OcOFkL9/445dxeVS27G1Gmec56g94wIGS8iCllSFilSEqaqIEI14cB8aGprh4qo+ui0NMjKV4+bvHKKuOcN+TW5Hkm2cRei4P89pzJ3nn5XbWbKimvCZCSUUIURRIxDOMDyeQVYm2rXN1e/Vryvn0Lx4gly4S3ELB5Ft//hpX2ouGvE98YS+1TaVzrjlREqhquPXG5mm9wOXRcdaUl7CpuhxZEvFL10hozjB541IXiiTRP5nk8U2tPLyhGceBSyPjvNx+hf54gq/80mduui3bcTjeM8gbF7pm9nUyu/J+srflDek4Dh2jE/z5a0e4NDzO9oYq1lWWIiDQMTqBW1HuWHGsTy4lbyWRRY1S1xoMO4tfKWckd366Wkik3L0eBwuXFMKwcyiCi7BWhySoWHYBtxy+6Xauh2U7tDaWIUsCmVyBvqFJWuqLF5ZeMOnqj+M4DgGfm6qyENYitq2yJLF/RzOxiI+qshBrm8rweWbnu/O6wbdfOMFf/sMhCobF8fY+BoanaFgkWjUxlWEqkWVdczmff2I7u7c04L1OjzU+meavv3OYF988TyZX4LmDZ3h4/1pUReJiYgzDthARqPeH8SpL89NZCXI5g7cOX+FbP3yPtjUVPPbghqLv0ZleXny1HRz4+KObF9WW3UlUuMPXbBXyk8Xr3nHQLYNTU11ookypK8SYnuRicoDHK4upNcM2yRh5LMfGL7tnkapxPcUbo+2M5RO4RIXP1+3nvtINuOVrv1kQBDRJ4f6yTRiOxR9c+AHxQooXho6zI9I8bxqwVAvRGqgiqBZT6G3BGsrcIS6nh3BwuKd0AzFXEHG6SmZ7uIk3R9uxsRnMTcyQKttx6M/GeXHoBIZj0eQt51M1e9kemSt+rfXG+GT1Hnoyo5ye6ubd+EUeT28npgVRFtDEKYLEtkgTX2y4b05FpFd2cVfJWq6khvhO3yHG9CRDuUkKtjlHWxX2PkWucJps4TRp/S3sqRRh72fxqJtR5TpkKcRSSsR1o4uJzDfJFdqRxCAR72eI+r6EKtfM0jdl9BMMTf1nMvq7pPOHmEh/nbLgb87RQDmOTd64QDz9DfLGJUTBg1fbRcT7WXyufUhS5LrokUPBHCRbOI1baZ2Owi0O0xpjMvtdHMegxP9zhDwfR5XrZvbDdozpFFwBRZ7fjy1TOM546i+xnRSKVElp8NcJez6BKF67Xi07xVT2eUaT/5OC2UUi+wIupY2Q58lZzzFVrkSVK69bLsNY6n/P/O137UWT1yzbpmc1kU7mePulM7z90llUVWbzniY+/Yv30La1Dvk69/iB7nG+95U3eP1Hp+i5PMIL33yXmsYYZdWRWb9dEAQ8Po2n/8n9JCYybNrdSFV9CdJ1BT2WZdNxboBv/q9XOfzKOUb6J7l4uo8dB1oJRW8eoHjj+dMM9Ixz4InNPP653TRvqJ7Redm2TWIiw9jgFKWVc993kdIAkdJrg5d8tsBPvnvNuHrd9gbWb69bccugdL6AAIQ8LpR5ipkyusG+ljr2t9Tz+sUuXjp7mQfWNaHKEnc11xH2uPn9F966pW1lCwZHOvtoKovy1LZ1vHW5m9FEekX7D7eJVKX1Aq+eu0L7wAhPbVvP53ZvIuorhgBNy6ZgmvMKzZaNRZ575e7ZbtfFKj6ByUIfPjlG3kpQ4dkIOLNM0GrlXTPC4lvRPMzahuNQUx7C73OR09Nc6ByZIVX5gkFn3ziqIlNe4sfvc7F4K0hoayqjrWnhHK9LU/j0o1t56a0LXOkZo2CYdPSNL0qqAKJhL4/ds579O5rmRLVKwj4++dBmjrf3kRmYoKs/zmQyS9Dv4vne81S4i6nAoVyK3aW19KWnihUlLi+iIDCQSeCVVSo8fpKGzkguhSJKlLv9ZIwCU4U8pW4f4JAydLKmQYnLS7l7ce1WfDLNT944T3lZgF/4wj7qa4qRn7Y1Ffz13x3i6IkuNq2rYl1rJYPDUwwOT1FZHiKRyjE8ksCyHQJ+Fy0NZQQD7hntmeM4GKZFZ/cYw6NJCoaF16NSUxmmqjK8bD1ZmeuaE/pwbpJiok0grifpSo8QVLzcU7qBv+1+nb7sOFOFDFHNT866Zqfgn66wu4qziR4GcnFsHBp95WwNN+GS5yeRqiizK9JCg7eMi6kB+rNxzkz1cE/ZXH1MRPMRUq+9jL2yC7/sQRYkTMei3luGS1Sum7+YJnccSBnXRngF26AjPUx3ZgRZEGn2V7AlvHClZJOvgjpvKReS/eSsAmcTPWwI1RFcoMLWI7t4pHzrghYTEdVHjacERZAxHJOEkSFr6XNIlVfbTon/y4ynvkq2cIZs4RTZQjtebTs+bS9udQOa0ogq1yDepE2H45ik8m+Q1U8AFn7XAaK+L6Apc0f9Xm0rZcF/RtfoSRx0prLPEvF9CfUGrZ7tpEjnD5PVjwECbnULpYFfw6vtmodYCDNVircK28lgWRNE/T9Hif+XkW443qKg4FokAmQ7OvHU1zGtYkoo6vsCEe9n5+ybJPoJuh/GsAYZSfwRBbOHdP4t/K4D08T1ziE+muTIaxfo7RhddL7LZ/qwrfkHu7ZtM9A9zmvPnsQ0LGqbS/nYM3vZOE8RTlV9CY8/s4eeKyOcPdrF8bcv03N5hGhZcE60SlYk7n5s05x1XIUkiTSvq2Lfoxu5cLKXibEU40NTTIylbolUXTk3wJ4H1vNLv/2xmZTiVYiiSLjET7jk/W29pk4TqYJpYdvOHG1w0K1RFw2jyBJlAe+0rGh5IZp0XsdxIOp141JkaiNB/K6VBwhuC6nqGZ/iZO8Q9bEI96xtmCFUUPSUkG8Qolq2zaXhcbrHJ0nlC2iyRFU4QFtlKV7tep2GQzyd5fzgKOOpDJIkUhcNkysUblnrc5U41Xp3olspolrTNGmau/xSydQMHAdVlWmqKWE0nuZCxwhP3l/Ueum6SUfvOB6PSn11dNUcaFVFYl1zOVd6xrBth6lU7qbLrG0sY9PaqgXThPXVUcJBD72Dk9i2w2g8RW1lBEkQeLimFcdx+JP2Q9T6QrzUf5HN0Uo0qbiuMxND2I5Da6iUZCFPRzKOS5ap9ASKjrWOTV96kpxlYjk2iihxbnKEJ2rX4V/ASfpq6rR/cJIHDrRRV32thUJVeYi2NeV8/8cn6R2YYF1rJWcvDPLDF07RWFeCXjCZmMpgGBbZXIG7djbxmY9vn47OCViWzVvvXuHl186hT1fvOI5DeWmAjz20kQ1rq5aVEip3hZGnRdIj+SkcwHIs2hO9FGyTqBZgZ7SF5weOEddTXEoNsldrJWfppKbd1AOyG598TQfVlR4hYRRTJOuDNUVLgwWuVUEQ8Mgam0L1XEwNkDKzXEoNzkuqPJI2RySuiUXXYQGBgOKZZXugifLMVg37Woo8M63ncigSs1pPbFHjUlkUKXOF8EgaBdukNzOGbhVggYpCt6SyIbSw75koiLglFZekYJgmBdvEtOfTSgiEPJ9EEiNMZX9IRj9Gwewlo79LRj+CLJXiVXfgde3Co27FraxFFOd3bDetOLlCO6Y9hih48LvuWTC6A+DV9qLI5RTMbkwrTlY/hio/MWuegjk0raEykcQIAff9eLRtqxipEdCUJsKep+YQqltBweglVziFQwFRCBD2fpqFBoaSGMKjbkMSQ1j2BLrZhW52Ikvb5p3/dqH3ygh/+z9Gbj7jNIR5Cn4KeZPui8P0d44iKxKNaytZv3PhQUNdSzk1jaVcOt1HPlvg/Ike2rbWzZsCvBlESSRWHqKsOsLEWIpctjCja7oZZEXiM790AF/w1rsO3GkEXBohj5ue8SmGEikqQn5s25557iiStGrvTJdcfH5l9AKGZZHI6egfVE3VUCJJ30SC+9oaqYmEFp3Xth0Onu/k+8fbmczmUSQR2y46Iz+wrolPbFuH36XhOA6jyTTfPnaWNy92Iwjgd2lEvB5yhoFhLe1gSIKCR16aAH2pWNdcweGT3VzoHJ5po3M1HRj0u2m4jhSsFAIQ9BVfXI7jYBiLHw8BqCwLUVG6sP5IkkR8XlfRId4qCuznjAqEovW/W1K4r7KZjFGgKzVBlTfISDbFUCaJKkm4ZJkGf4ThbJJKT5DtsWq+1XmKST3H1pIqtkar+IsLh9FtEz/zkyrTtBifyCCKAtWVoVk3lySJhIMeHAcmE9mZ451I5jh9rp+H7mnjsfvXY9kOP37lLM++eIrd2xpobS5DEKCrN87X/uEwLY2lPHWgDa9Ho7N7jBcPtvP9H52ksjxMNHzzlMqNiGmBGVuFkfwUAIZtcXyyE1WUqfeVUqYFafSV0ZEe5lJygL0lrWStwgyp8itufMr16b8k2Wmn9TJ3eFbF4HyQBYkKd/Faz1kGI/nJeedTRAnlBg+mq8dYk6bJ1fUpi+tST/Z110XBNhjKFbsFWI7NpeQAf9fzxqL7eD7ZR2GamE0VMpjO/K1EBMAnuwgpi5+L64387HnaelybTyTgvg+3up50/i3S+aPkjXPkjUuY1giJ3POk8gfxaNsJuh8m4L4fVZ5r9VGw+ihYRX2JIlWgyJWL2geIgoImN1Awu3EwyBuX5sxj2hPo5hUANLkOt7r+prYPS4EgaGhy47zRtFtBtnBmxu7Apa5BFqMLDjwEQZyuUCwrutRbExjW8LL3fbmQFQmXR71pI/Z8rjCruu16ZDN5Os4P4jjg8bmoqi+Zt+XWVUiySElFEJdHo6Cb9HeOraj1jarJuKblDZZpzVgu3AyxyhCNbXM7KnyQoCkyu5tq+En7Fb597AxlAR+iILCvpX6mzdJ8MCyLty730DESJ57J8uq5DqoiAVrLY4ylMhzt7Of84CgZvcBbl7ppKo1SGvDSWBqhc2yCZ09cIJHPkzdW3pLotpCqVE4noxcIe9z4XMWTf7xngDN9w+SN4oPz/nVNNJRE6BiN8+evHUFTZD67cyPV4QDJnM6bl7r5/7d3ZsFxnVd+/313v703GkBjJwhwp0iKoilREiVRsmRJXuJlYsdV9sjxVCZOXiZTnqRSU5V5mUoqD1M1SU2lkqma2IkTL5px2XEi2ZYsyRpJ1EKJi0QR3AkQ+9oAeu++fZc83CZIECAJkgAlee7vjUT317dvd3/33HP+539+8OZRIobOl+7ZRqVmc+jCMM+/f5odHWme3rEZU1M5NT7FSyfOkS1X1+Kt3BZbe1sQQjA2lSNbqBA2Ncanc+SLVdrTcdZ3pChXr/wQr53G9DzIFcqMT+fIzBXIFSpULRur5mA7LrbtcuLc+EqWAkBVZWIR44bDm2VJLNx8Oq4/PNP1PA5NDQEeOxpakYVESPU/50KtygeZMbJWBVNRSRlh5q0yJ2cnaTGjtIbizFsVDk0NoQgJU9EwZdVveb/BMbuuR7FYRVEkwqGlm5iuq8iSoFq16xuNP5Ljnp3dPHFgO8311Lbjuhz5YJCBoRk2rG9GkuGNt88yly3xza/uo6vdD0C62pPMzhV59c0znOufJLXn5sWwpqKT0MKMl+eYrub87k+nyon5QQxZ5a74OsKKwYZoG+/PDzBQnKRsVynbFoXapfKfSbgu1vQ8j4pjYXt+0ByWr21weQlZSETrmSLHdSjay/9WJCFdM+Mri5XnbW3PXShdFuwKr0338dp03wqfDVW3dk2jVIEgrK5+h6cqN5MMf4Wo8Tjl2nFfa1U9Ttn6AMsZoVB5g4p1GsseJhX9FvpVgZXtZHBcP1h1vRLzpecpVY9e9zUtx+/y8jwX251Z8nfXLVKz/TKVIjeiyrfu8rwckjDqa97aubScoboFDbhulqn8Xy+4dy9HzZnAcef9x3tl3I/A1LOls4F9j20j3XF9neyxN89z6NWTuMvoXa2KzdSY/1nbNYfTHwzxk//6ynXXO3V0kFp9r8/NFXHs5QMhz/NwHZeZiSyTo3NkZ4uUChWsqo1d8wOoqdE5Jusjzm6Gts4U0jXGfn2c2NbWjCQEx4cnKFQsNMWf7RvWdZ7csYl4yN/LmmIRntqxCUmS8FyPilUjbGg8vXMzRcvCqmedHNel5jj0plN4nkfJqmG7LrIksX9TNyFNZbZYZn1jkuZoeIkt082yJkGV7Xq4ni+yvrRJj87leG9glP7pWcbmcrQlY3Q1JPjNiXMMZub597/3GR7b2oMsSbie3yp5fHic/3fsFE9s30C2XOG9gREiusbvfeou9vX6m9r29mYyhRIXppZ+ySpOGUlIqOLyYF7Xc7DcKrp0ax0+N8PG7iY0VcaybAaGZ9i0Ps35wWlkWSKVjNDYELnCTuHaTM/mOdY3Qt/5cYbG58jMFckXKlSqNaz6nYrtuMtuANdCVWV0bXmjxeshBDyQ7qbi1JCExAPpVlzP5e6UfwcUUXXuamgha5UxZJWKYyMJiYdaeyjWLFJ6iHgkwbxVYXdjB67n0qCHUCWJB1vWE1Ju0NJ+ncO9lmH5hvVNJGKXU96pZARZkcjlK3VDRcGHp8ewLJsXXjmxcE5sx2VgcIZS2WJ65tYvAK1GA2dzY8xZBRzP5WJxiulqlhYjyY6EH1RtjrUj8LNZI+XMQvlPl1SiirnEYsA3/Fhd/CL4tU7wTXxP6qVT8DVdzXqcuLby8lJ3uHkhu7ccyhoKlRU5RlTeT0S/H8scpFg9Sr7yGvnKb7HdaeaKP0eWkjTHvrOovd/1ynXDS6g548wWfnQTr+otPHfhfzwXjyoefgAsCRN5BeLzm0EgI4lbLwU5bhbqM+MqtXNUsn95E8+2FwKyO0lTS4L9T+1g8w2MhasVm8Ovn8ZdpmzsOA7FvP95lQoVDv32FId+e2rFx1Ct1nDdpUGV67j0nx7n6MGzXDw7weTILNm5IqVCFataw7b8vd5xXLyb2OsvcS0rh48bqiyzo6OFHR1L/QAvWSMAtMSjl/8twdM7l7cmaYlH+eI925b9W1M0zJM7Nt3+QV/BmgRVsiQQ4lJmwzfU27u+g3WpJC/1neMXR08uPLZvbApdkdnV2bIQgElC0BA22drWzJGLo0xk87iex1BmnlQkxIb0ZQF2zDRoT8QI6xpj5YvMVtM06M1MVIaZtaZo0Jpp1FpQ6htgzauRrc3SrLfjeg5T1XHS+q3pZW5EMh6irTnO4NgsZwam6O5IcWFoGkNT6G5PLdPdsPQYBkczPP9qH6+9e47x6RyyJGhrjtPdkSIeNTENxR9QLEm8f2qE0/0r0wtIQlrWIPTGCPall5YLUoa/4YdVjZ0NrXj4n+OFXIZcPWslCUFCD7Eh3uh/L1g8a265dRcdsyyIhHRs26VYWpptsawajuuh60q9q8VfOxTSF3XkSJLvmO667kI3Xr5QQZIkpjOLuz/iMZOH799IW0tiJSdnWVrNJLIQVOri82Oz/QgEaSNBp9mIKsl0hFK0GEky1Rzn8+OEFWPBGT2qXr4BEEJgKjqKkP3RL04V5xqlsks4nku+njlSJPmGg5lvF1lICyN1oorJgfQO9qY2rvj5lwxMP0qEkOsi9S7C+m5UOc1M/vvYboZC5S0Soc8u08bvX+hkKY4mtyOtUKckUNGV7mX+ctXg9lXfogTcVoB6+dhUOV33kVrZQcpSClVuuvEDP454LNzBabpCc3uSWGLlAa/vbL745tF1PY4cPMv//cFBTh0bpFysEomZtK9vYt2GFsIxA01XUTWZ+UyBvsMXmR6fv6nDFvItq4Rvm2rN5si5ES5OzPHVR3ZSLFu8dfIiQgie3rvlus/97fvn6GhM0NOaQlmBK/1HzZoEVVFDJ6xpZMsVSlaNsK7REo/SEo9yZmJ60bDQYtVCVxSUq9KSQggiuobreRSrFpqiUKnZRE0d8yphtabIqIrMdHWcGWsCWVIYKp2nYOeYtzKMyhdpMTpp1tvoL5zE8zya9FZmrEneybzMttg9NOmtyEJlsHQWQzJpM7sJK7fXCSGEYEtvmoGRDGcHJnls3ybOD85gGtoNzTkBCsUqvzl4ml++eoL5fJnerkYe3beJzT1pUvEQ4ZCOpvrvXQhBxaqtOKhaS8QVpaL2UAxZCLJWhYRmkg5FlwRTK0WRZRobIriux8jY/MKYHvDbjWezJSRJ0JAIXzUYWFy/kUEIYlGDbK7MM1/bt6QtWJZFvUvz1mg1kkhCwnMdZq08x+YuoEkK2+KdaHVhf0INsyXeyZvTJ7lQmGBDpJVCrUKDHiWqLM4mNOtxQopOtlby7QKcGlwnULI9h7G6xsmQVNJG4pbfy0rQZYUWwy+veEBCC/OpZewUPgkIoaAp60mEvki+8hqV2mlsd5qqPbAoqJKEgRB+IKnJXaSiv79i7yTfaX2xvtL/DWkINDysermsxHWqa3ccWUS5NLbHVO+iMfaHK56LKKGh3kSn4scJSZEww/7vLRoPsf/JHex56PoGrldypaHnJWYm5vnhX73E2ePDaLrCvk9v54EntpPuaCCaCGGYGqomIysy50+MMDU6f9NB1UdJzXbouzjJodNDHNjVS7lq8cLhMzQnIjcMqt47M4zjeqxLJ//hBlXpWIT2ZIzBmTnG5nNsTF87gEiGTS5MZbBsZ9GYCNf1mC2WkSWJeMigZruEdA3LdihWrUVdgZWaTbVmIxDMVCfI2/PkanMIBLKQiSpxzhf6SKgpVKExaY3iAarQqDglokoCD4+B4mmytQyKUCk5RXYllrezvxm2bWjh+VdPcPbiNLPzRSams7Q0xujtunFQNTCa4djJEebzZRJRky89sYsnHtxC9Kq5TOBnBZ1rtAB/lBiKSnd0dRoCJEmQTIToaEtyrn+CwZHMgqXC2MQ8p89NkG6KLWiiVryugLu3d3Lm/CTTmQL37FxcGrjJOchLaDEvG4AOl2Y4lx9Hl1XuTlzuGEpoYbbFOnll4gNGShlCsk7JqbJOaVrigN4baSGpRcjWSvRlhyjYFZJ6ZNnSned5lOwqx+cvAhBRzUWu7WtBSDHYHGuDUcjbZfoLkxTrzvCfRISQkOU4mtJJpXYaz6vVx8NcRpFTKFIDVcDDRlfWE9Hvu51XRZIiKHIzNWcE28lgORN33OTyemjqOiSh4XrgYRHW9izyp/pdRdfVBU2W67pEYiZ3Xaf7byUceeMs5z4cRpIE3Ztb+ea/eoLujS1IywQRmqHiLVM+/LijKTLxiMHFqTlipk6uVKGn1d+/R6bnefvUIFPzBTRF5t7NXWzvTqNcNXXl4IkB5otlDuzcQNjQGMtk+c3Rs1Qtm3jE4OlPbSER+Wi7G9ck7OtuTLK9Pc3piRnePj9EvnJtEfne7nZcz+ONMxdx6l8U1/OYzBX4cGSCrlSCdCxK1NDoaUoylSvQN3rZY2S2WGIwM0+xaqEIlaKdZ97KYNc7iZJaM12hjZTsPB4uCS1FzfMNxkJyhLAcJW20o0k6c9Y0ESVOUmsiqqzO2INtG1p9N9xMnnePD1KzHWIRg47WxDKPXnz1npzOMZf1N++utga2b2wlGr6GSNeDgQVn9t9dUskIjz+8hfHJLP/jJ2/ywisnePHVPn70s3e5OJTh3t3rWdd56a5/ZdGQEIIDD26moy3J939ykOd/c5yjx4d450g/v/jVMX7x62OUKytrW16OVrPBz1ThcXzuIiWnSkgx2Bq/HLyZssa6cBMJLcxEZY4z+VEczyWimEsyVdviXXSGGpGFxEBhksOz5ynbyx+f5dq8O3uOi8VJJARtRgM7rmNHsBroksKGaBs9kTQ11+ZkdohDmbO4NyhTfqzxbBw3B9SHIl9V2tOULrS6hYJlD2HZg7je7TXPKFIDhrqhvuYgFesE3k1Od1hLQtquBZPRsnUC251a0NKtBkLIXFnz9Icpf/SEIgYbtreDgHy2zOC5yQWN1a1y7sQInud3J27bvY71m1uXDagA8vMlMtO523q920WSxaLrUM2q3fDmU9cUmuJh+sdmsGo2qiwvdPTpmkJ3uoHdve3omsqHgxNMzl+WYgjgrZMXOXp+lKZ4GFWRcFyHn7x6jPXpBnasb6FUsXjunZPXePU7x9qU/0ydx7b1cHpiimcPHefizNxCturNc4PkrgiynrhrEwfPDfKDN48wUyjS25xirljilVMX8ICv37sTQ1WQwib3b1jH2xeG+d9vHWU8mydu6vSNTnJ0cBRDVTCVMJqkE1FiZKwpXFwUofhZAgH5Wo7B0lkmykOMlAZoNbuIqHGOzb9Fm9FNk97GcPk8jVoLCXN17A7a0gniUYNCyeLFN06hKQqdrckbdt2Bn627pEeUZL+Eda0q1rGTI/QPLe0g+l3DNFX279tI1bJ5453zPPuLwwgBiViIJx/dzqP7N9+Cm7qgvTXBv/ynj/DrV07w61dOULMdFFkiHNbZvaPztmYepo04miTjAUfmLiALid5IyyKjTUlINOlxNkZbOZ0bJVf3oYqqvqbqShq0CJ9O76K/MMFoeZa/GzqIJql8Or1z0Ziammvz6tSH/Pjia1iuTaMe4/GWXTRoa2vwJwmJzlAjT7Xu4XsXXmK0lOHZwTco2lUebNyyxM3ddh0mK/OcyY8yWy3waPouUvrajhpyPQuBsiLPJ9erUK6dpGKdBkCWkujK4syEIqUIabsoVA5ScyaYL/0SU9uBoW69Zb2mqrQR1u8lX3kD250jV34FU9tFxLiXNRBY3TSaso6wsZdacQLbnWM6/z1aE/8OcZvzEy8h0JCEzqW2DMse8c/n2uQCVoxmqPRsbWX9plYGzoxz+oMh3nvtFA9/dtctO4pf2Q0o1+UcyzFbH948O3XnOyevRFEVVP3yXjMznsW2bOTr7L2K7Fedhqfn6WhM0JqKLQRilu0wND3H9HyRibk8iiyR29BBe/0y/H7/GOWqzeO7N3J3bzu6qjAyPc/BvgHKNRtVlpjJFgmvgnnn7bImQZUkBFtam/nOgft47v1THB0c463zg75fkapyYMt6ept90Vk6Fua7T+7np+99yKun+vnlB2dQFZmOZIx/8/RD3NfbCfgdAZ9a386399/Dc++f5odvHyOq62xvb+aRTT28dWGQVqOLXYleFEml6vh3DqYSQRYqe5MHiCgxNOkuOkO9xNUGZKFwd+IBal6VmJIkoTXQqKdRJZ2QvDpzCXVVpreriaN9wwyNzRIO6WxY13SNH83i/0smQkTrHRsXhzNcHM2wrr1h0fw91/M4cmKIv/7xQUq3kU35pCCEr5n67OM7uGdn1+KByk1RYldon/bsWkdrOrEkK9jSHOPP/uRzNDdG63o0v7S4Y2s7zU0xZucKWJaNJEmYhkpDMox2GzMPdUmlQYuSqeYZLk6jCpm7k+uXBGoNeoQtsQ4OZ85TrAvLl8tUCSG4v3Ezw6UZfjb8FsOlGf5n/8scnOrzByqrJiW74g8rLkwwVp4lLOs8nt7FI+m77shQ7Ihi8EjzdsbLszw/+h5ncqPMVF/mN+PHaDESC0L0glNhtlpgvlYga5VoNZPcm9pIao33xlz5ZUrVw+jqRkLaLnSlF3FFlzDUrQ6cSbLlF8kUfozjZZGlOGF9D6rSuWg9IRSi5gGK1ffIln5NsXqIiexfkop8g4h+35LMlutV/Zl41WOARGP095ccoyyihI19hCt7KFbfpWgdYzL3V9ju14kYD6FIiUWPd9wC1do5KvYAcfMJZGmtg2eNxsi3KFaPYNmDzBV/jkCiIfKNhQzbJTzPxXHnKFt9VGrnMdQNRM2Hr7u+EBKa0o1kHcP1yswWniWk7USV16axaKVIkqC9u4nHv7KH//WfX2R8KMPPv/8GpXyV+x/fvmTAsV1zmBqb4+zxYeam8zz8+btJXeUP2L6+ceGxfUcGyExmSaUvV0s8z2N2KseLP32P1371AfYNfAjXGkkStHQ0YIZ1SoUKrz73Plvu7qKjp+magaUQAlWRKVZrjM/l6E4nKZQtytUa750ZZnKuwMM7ejg7Ms3g1NyirGeuVGViNo/tugtXyWK1hqEpfG7vFhRF9qtPxkc/nmzNpuMaqsLOzhY6knFmiyUs2/HnkSkyUUMnFQnVMy+CTS2N/PMD95IplKjatq+jMg3S8Qi64h+iEIKEafDZnZvZ091OoWohC0EyHMJQFZ7etYlkyFy4+49cVb5r1P32TENevLkl1NTC+gBGffNbrR+tEIJtG1o42ueL7QxdoXfdyrpeNq5roqezkbMDU2QLZb7307c5cXacns4UuqaSzZc4dWGCMwNTZOaKPPXwNl54/aNPf641kuQLx28kHk8lI6SSS4Nj09DYuW2x27UQAlkWtKXjtKVXp/R75dqtZpLz+XFqnoMuq+xOLtXGxFST3kgruqRSdi0kBBHFWOiku5KIavKlzn2EFI2fDr3JRGWOqWqW9+cHUCQZx3Mp2v7swKQW4Ssd9/OPOu69Y111kpBoNZJ8vesh4mqY58feY7Iyz1QlWzcZ9bUStudSc+0F89D2UOqOBH01e5xs6QU8nkOW4kgiiiqnUeQkAg0Xyx8obI9RcyexnWmE0InoD9AQ/uqyJpya3EEq8ky9Q/CdurD9DJrsj4+RRBgPG9udo2ZP4njzuG6RqPEQsDSoEkIipG4nFfkmtjND1e6nWHmHaq0fTelAU1qRRRwPB9vNULOncNx5FDlBRN+35kEVgKltpyX+J4zN/Tm2O02m8Cz5yltocjuqkkag4nplbHeGmjON42aRhEEq8gwrObqY+Tj5yuu4zgiF6tsMZf6IkLYbRW7E9aq4bgHPs4iHPkfEuB0N280Rihg88MRdTI7M8uu/PUT/qTF+/F9e5uX/c4TmtsSCEL2UrzA7nSc3XySfLdPWlWLvo1uXrHf/p7fzd//tVYqFCv2nxvmLf/237H5wAw3NMRzbZXwow5kPhhjunyaRipBKxzjzwfAde7/Lcc/+jbz32imGzlc4eWSA//SnP2XLri6STVFs26VcqFAqVNj/9E427valDoamYGoqZ0dmeHB7NycHJ6nUbGZzJSKmzpbOJs4MT5G/qrt7V08bj+4K8dLRMzTFQ2xsb6K1IYrn+aXDbV1pXI+PRWJhzYIq8LNL6XiEdPz6WR8hBM2xCM2xGz8uYuhElknxXTkK52a4Onha7TsgP6i6LAw2dJUNKxCpA8QiJl94bAcTMzmO9Y0wPD5HZq6AoatIksC2XUoVi5Cp8UfPHGBLb5oX/wEEVZ9E2kw/WHA9j0Y9Rk9kqQeLJPxxLevCzZzOj2AqGlE1dM0go0GL8Pm2vdyV6OaNqT4Oz55nrDRLrlaqG4q2sjvRw8Pp7awPp++4TYEsybSFGvha1372NPRyePYcH8xdZLg0Q94u43oeYUWnM9RITyTNzuR6diW6aV7j7kTwdVGuZ2G7kwvO3gK13r0mAS6eV8PD1zDJIkEy/GVS0WfQlOU1aUIohPS7aY3/KdPS98iVX8KyL2LZQwhLqxtjeniejYdVf00NWbp2qVOSTGLmE0jCYDr/fYrVw9ScEWrOGCVLRaDU17x0rB7QA9wZ/ZoQGnHzM8hSnInsX1C2PlxwpPcDT4GHU9eC+edSU7pX7I8VMR6kIfJPmMn/dxw3S7F6hLJ1qu4R5uJ5DrIUI6Tf2XE3kiRoakvw5T94mHgqwq9+8g6ZyRyz0znO940iK362xnFc7Jqz4CvV1du8MMT4Slq7UvzBv/0sf/Mfn6dSsvjwvX76T4+hqjKeB1a1huO47Ly3hy9+az/H3+3/yIOqbXu6+cw/3svPvvc6c9N5zhwfZvDcJIoqL5iYKqrM5l1dC0FVSNfobU3RP54hXJfARE2d7pYGXjh8hj//0csYqkI0tPiGORbS+dSmDizb5tm/f5/vfO5+0okI/+Lz9/PDl4/i4qHJMk/u3cL+7d13+lQsYk2DqgC/5X/z+ua6IE/Q0hhbZES5mMVKP0nyLRm+++3H+PtD53jr2ACDoxlyhQqmodLcGOPTW9p56uFt9HQ24noubekE87nSmr+vgJvjG92P8IX2vQCokrKsuaVAsCnaxn/Y9U0qbg0JQUILX3cGZUQ12RrroCvUyJc79lHzHFzPrZveyoQUnbBiXNN1vT2U4o83f4E/3PAZwrK+SOcF8O2ex/la1/66r9biDN7ORDc/uP+PAUFSW96nRxIScS3EzkQ3G6NtfKljH5brH+MlLzNFyOiSgqno6JK6bBC5I9HNjx74LgCGfOMU/yNN29mZ6MbxXKKKSfyqgDIZ/iKa0k6hcohKrQ/LHqHmzOB6ZcBBCBNFTmOovYT0e4gaj6ArPchS4ro6LEnomNp22pJ/RiL0BfKV1yhVD2M5Y3UHcRlZTqIpnYS1u4kY+wlpu67zTgSyFCZqPoqhbqVoHSZffo1yrQ/bnsT1SiBkZDmFpnQS0nYSMx5HuYMeUJIUImI8SLe6kXzldf/4rBPYbgbPqyCEiaq0oqu9RPR7COv3Y6grsyCQpRCN0W9jqluZLz1HsXoU25nC9SrIIoqmtGBqO9DV2+u+uxVkWaK5LcEXn3mQ3Q9s5MjBs3x4qJ/RgWny2RKu6xGKGDS1xlm/uZUd9/awbU83Tcs0KcmKxIEv7Ka1q4GXfnaEU8cGmZ3MUREQT4bZvKWL+x7byr2PbiXVHGN6fJ5Y8qP1cjNMjae+di9dvWle/9UHnDx6kcxkllK1hhnSSDXHWL+llc7eJkK6ymfu2cgliYtl24R0jc2dzciSxL6t6+rZJg9VkZAliXC9lPfPnr4PQ1MxdZWHd/Swq6eNVDSEEIIHtnWzpbMZ1/WdA+Lhj777VHir2a7xDxjX84f92rZLyFAXZuZ5nofreQumkrqmkIxf/jHUbIdCsUrVsjENlWjEWHJRcesW/JVqDdt2cT0PSQhkWUJXFUzTvxB5wOxcEcd1iYT0JaNcHNelVLIoli0/6xfSlh33ciVzuRJVywbPN8I0bsGFPSDg44jr1fC8Cp5n4WHjeQ6Xb2wEAgkhVITQkYRZ70a7mfUtPK+C61Xqa7v1lWUQCpLQ6/5WKxN2e57ne1a5ZTysevbHu2pNrZ4FWv536mubcrheAZCRpciqlQn96QRVXK9cP6eXzqdACLmeCdSRhL5iP6tLuJ6F65b8z4tLeiKpvq6GLIWveR6rlRqFbBnbdtB0hUjMvOEw41KhQiFXBg90UyPecH1zT8dxsSo1qpUads2pT7fwkCSBLMsomoyuq6iasuyQZvDPn+O4lAtVrIVRW36TkqrK6KaGbvji8HKpSjFXRlZkwlETTV/+/ZSLVQq5Mq7rYZgqsWR41fdvu+ZQLtWP2fbHg4n69UnRZMyQfkvDoz+pBEFVQEBAQEBAQMAq8PG3Jw0ICAgICAgI+AQQBFUBAQEBAQEBAatAEFQFBAQEBAQEBKwCQVAVEBAQEBAQELAKBEFVQEBAQEBAQMAqEARVAQEBAQEBAQGrQBBUBQQEBAQEBASsAkFQFRAQEBAQEBCwCgRBVUBAQEBAQEDAKhAEVQEBAQEBAQEBq0AQVAUEBAQEBAQErAL/H94BfwW+PFpCAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#word cloud for Book Titles\n",
    "wordcloud = WordCloud(width = 600, height = 400, background_color = \"white\").generate(' '.join(books[\"Book-Title\"]))\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "plt.axis(\"off\")\n",
    "plt.title(\"Word Cloud for Book Titles\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "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>User-ID</th>\n",
       "      <th>ISBN</th>\n",
       "      <th>Book-Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>276725</td>\n",
       "      <td>034545104X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>276726</td>\n",
       "      <td>0155061224</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>276727</td>\n",
       "      <td>0446520802</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>276729</td>\n",
       "      <td>052165615X</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>276729</td>\n",
       "      <td>0521795028</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   User-ID        ISBN  Book-Rating\n",
       "0   276725  034545104X            0\n",
       "1   276726  0155061224            5\n",
       "2   276727  0446520802            0\n",
       "3   276729  052165615X            3\n",
       "4   276729  0521795028            6"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#print 1st five rows of ratings\n",
    "ratings.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1149780, 3)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking shape\n",
    "ratings.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1149780 entries, 0 to 1149779\n",
      "Data columns (total 3 columns):\n",
      " #   Column       Non-Null Count    Dtype \n",
      "---  ------       --------------    ----- \n",
      " 0   User-ID      1149780 non-null  int64 \n",
      " 1   ISBN         1149780 non-null  object\n",
      " 2   Book-Rating  1149780 non-null  int64 \n",
      "dtypes: int64(2), object(1)\n",
      "memory usage: 26.3+ MB\n"
     ]
    }
   ],
   "source": [
    "#checking information\n",
    "ratings.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "User-ID        0\n",
       "ISBN           0\n",
       "Book-Rating    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking null values\n",
    "ratings.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking duplicates values\n",
    "ratings.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "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>User-ID</th>\n",
       "      <th>Book-Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.149780e+06</td>\n",
       "      <td>1.149780e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.403864e+05</td>\n",
       "      <td>2.866950e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.056228e+04</td>\n",
       "      <td>3.854184e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.034500e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.410100e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.110280e+05</td>\n",
       "      <td>7.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.788540e+05</td>\n",
       "      <td>1.000000e+01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            User-ID   Book-Rating\n",
       "count  1.149780e+06  1.149780e+06\n",
       "mean   1.403864e+05  2.866950e+00\n",
       "std    8.056228e+04  3.854184e+00\n",
       "min    2.000000e+00  0.000000e+00\n",
       "25%    7.034500e+04  0.000000e+00\n",
       "50%    1.410100e+05  0.000000e+00\n",
       "75%    2.110280e+05  7.000000e+00\n",
       "max    2.788540e+05  1.000000e+01"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     716109\n",
       "8     103736\n",
       "10     78610\n",
       "7      76457\n",
       "9      67541\n",
       "5      50974\n",
       "6      36924\n",
       "4       8904\n",
       "3       5996\n",
       "2       2759\n",
       "1       1770\n",
       "Name: Book-Rating, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings[\"Book-Rating\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#histogram of the book ratings\n",
    "sns.distplot(ratings[\"Book-Rating\"], bins = 10, kde = False)\n",
    "plt.xlabel(\"Book Rating\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.title(\"Histogram of Book Ratings\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#boxplot of the book ratings\n",
    "sns.boxplot(x = ratings[\"Book-Rating\"])\n",
    "plt.xlabel(\"Book Rating\")\n",
    "plt.title(\"Boxplot of Book Ratings\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "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>User-ID</th>\n",
       "      <th>Location</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>nyc, new york, usa</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>stockton, california, usa</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>moscow, yukon territory, russia</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>porto, v.n.gaia, portugal</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>farnborough, hants, united kingdom</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   User-ID                            Location   Age\n",
       "0        1                  nyc, new york, usa   NaN\n",
       "1        2           stockton, california, usa  18.0\n",
       "2        3     moscow, yukon territory, russia   NaN\n",
       "3        4           porto, v.n.gaia, portugal  17.0\n",
       "4        5  farnborough, hants, united kingdom   NaN"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#print 1st five rows of users\n",
    "users.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(278858, 3)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking shape\n",
    "users.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 278858 entries, 0 to 278857\n",
      "Data columns (total 3 columns):\n",
      " #   Column    Non-Null Count   Dtype  \n",
      "---  ------    --------------   -----  \n",
      " 0   User-ID   278858 non-null  int64  \n",
      " 1   Location  278858 non-null  object \n",
      " 2   Age       168096 non-null  float64\n",
      "dtypes: float64(1), int64(1), object(1)\n",
      "memory usage: 6.4+ MB\n"
     ]
    }
   ],
   "source": [
    "#checking information\n",
    "users.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "User-ID          0\n",
       "Location         0\n",
       "Age         110762\n",
       "dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking null values\n",
    "users.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking duplicates values\n",
    "users.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recommendation System Based on Popularity "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#combine two DataFrames based on a common column named ISBN\n",
    "names_with_ratings = ratings.merge(books, on = \"ISBN\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_rating_df = names_with_ratings.groupby(\"Book-Title\").count()[\"Book-Rating\"].reset_index() #convert the grouped data into a new DataFrame with an integer index\n",
    "\n",
    "num_rating_df.rename(columns = {\"Book-Rating\" : \"num_ratings\"}, inplace = True) #renaming the Book-Rating column to num_ratings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "DataFrame num_rating_df contains the number of ratings for each book title under the column name num_ratings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "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>Book-Title</th>\n",
       "      <th>num_ratings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Light in the Storm: The Civil War Diary of ...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Always Have Popsicles</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Apple Magic (The Collector's series)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ask Lily (Young Women of Faith: Lily Series, ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241061</th>\n",
       "      <td>Ã?Â?lpiraten.</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241062</th>\n",
       "      <td>Ã?Â?rger mit Produkt X. Roman.</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241063</th>\n",
       "      <td>Ã?Â?sterlich leben.</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241064</th>\n",
       "      <td>Ã?Â?stlich der Berge.</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241065</th>\n",
       "      <td>Ã?Â?thique en toc</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>241066 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Book-Title  num_ratings\n",
       "0        A Light in the Storm: The Civil War Diary of ...            4\n",
       "1                                   Always Have Popsicles            1\n",
       "2                    Apple Magic (The Collector's series)            1\n",
       "3        Ask Lily (Young Women of Faith: Lily Series, ...            1\n",
       "4        Beyond IBM: Leadership Marketing and Finance ...            1\n",
       "...                                                   ...          ...\n",
       "241061                                      Ã?Â?lpiraten.            2\n",
       "241062                     Ã?Â?rger mit Produkt X. Roman.            4\n",
       "241063                                Ã?Â?sterlich leben.            1\n",
       "241064                              Ã?Â?stlich der Berge.            3\n",
       "241065                                  Ã?Â?thique en toc            2\n",
       "\n",
       "[241066 rows x 2 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking new DataFrame\n",
    "num_rating_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "avg_rating_df = names_with_ratings.groupby(\"Book-Title\").mean()[\"Book-Rating\"].reset_index()\n",
    "\n",
    "avg_rating_df.rename(columns = {\"Book-Rating\" : \"avg_ratings\"}, inplace = True) #renaming the Book-Rating column to avg_ratings\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "DataFrame avg_rating_df contains the average rating for each book title under the column name avg_ratings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "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>Book-Title</th>\n",
       "      <th>avg_ratings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Light in the Storm: The Civil War Diary of ...</td>\n",
       "      <td>2.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Always Have Popsicles</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Apple Magic (The Collector's series)</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ask Lily (Young Women of Faith: Lily Series, ...</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241061</th>\n",
       "      <td>Ã?Â?lpiraten.</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241062</th>\n",
       "      <td>Ã?Â?rger mit Produkt X. Roman.</td>\n",
       "      <td>5.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241063</th>\n",
       "      <td>Ã?Â?sterlich leben.</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241064</th>\n",
       "      <td>Ã?Â?stlich der Berge.</td>\n",
       "      <td>2.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241065</th>\n",
       "      <td>Ã?Â?thique en toc</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>241066 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Book-Title  avg_ratings\n",
       "0        A Light in the Storm: The Civil War Diary of ...     2.250000\n",
       "1                                   Always Have Popsicles     0.000000\n",
       "2                    Apple Magic (The Collector's series)     0.000000\n",
       "3        Ask Lily (Young Women of Faith: Lily Series, ...     8.000000\n",
       "4        Beyond IBM: Leadership Marketing and Finance ...     0.000000\n",
       "...                                                   ...          ...\n",
       "241061                                      Ã?Â?lpiraten.     0.000000\n",
       "241062                     Ã?Â?rger mit Produkt X. Roman.     5.250000\n",
       "241063                                Ã?Â?sterlich leben.     7.000000\n",
       "241064                              Ã?Â?stlich der Berge.     2.666667\n",
       "241065                                  Ã?Â?thique en toc     4.000000\n",
       "\n",
       "[241066 rows x 2 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking new DataFrame\n",
    "avg_rating_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "#merging two DataFrames, num_rating_df and avg_rating_df, based on a common column \"Book-Title\"\n",
    "popular_df = num_rating_df.merge(avg_rating_df, on = \"Book-Title\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "DataFrame popular_df contains the number of ratings and average rating for each book title allowing us to analyze the popularity and quality of different books."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "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>Book-Title</th>\n",
       "      <th>num_ratings</th>\n",
       "      <th>avg_ratings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Light in the Storm: The Civil War Diary of ...</td>\n",
       "      <td>4</td>\n",
       "      <td>2.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Always Have Popsicles</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Apple Magic (The Collector's series)</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ask Lily (Young Women of Faith: Lily Series, ...</td>\n",
       "      <td>1</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241061</th>\n",
       "      <td>Ã?Â?lpiraten.</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241062</th>\n",
       "      <td>Ã?Â?rger mit Produkt X. Roman.</td>\n",
       "      <td>4</td>\n",
       "      <td>5.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241063</th>\n",
       "      <td>Ã?Â?sterlich leben.</td>\n",
       "      <td>1</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241064</th>\n",
       "      <td>Ã?Â?stlich der Berge.</td>\n",
       "      <td>3</td>\n",
       "      <td>2.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241065</th>\n",
       "      <td>Ã?Â?thique en toc</td>\n",
       "      <td>2</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>241066 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Book-Title  num_ratings  \\\n",
       "0        A Light in the Storm: The Civil War Diary of ...            4   \n",
       "1                                   Always Have Popsicles            1   \n",
       "2                    Apple Magic (The Collector's series)            1   \n",
       "3        Ask Lily (Young Women of Faith: Lily Series, ...            1   \n",
       "4        Beyond IBM: Leadership Marketing and Finance ...            1   \n",
       "...                                                   ...          ...   \n",
       "241061                                      Ã?Â?lpiraten.            2   \n",
       "241062                     Ã?Â?rger mit Produkt X. Roman.            4   \n",
       "241063                                Ã?Â?sterlich leben.            1   \n",
       "241064                              Ã?Â?stlich der Berge.            3   \n",
       "241065                                  Ã?Â?thique en toc            2   \n",
       "\n",
       "        avg_ratings  \n",
       "0          2.250000  \n",
       "1          0.000000  \n",
       "2          0.000000  \n",
       "3          8.000000  \n",
       "4          0.000000  \n",
       "...             ...  \n",
       "241061     0.000000  \n",
       "241062     5.250000  \n",
       "241063     7.000000  \n",
       "241064     2.666667  \n",
       "241065     4.000000  \n",
       "\n",
       "[241066 rows x 3 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popular_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating dataframe to show the top 50 books that have 300 or more ratings and sorted by average rating in descending order."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "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>Book-Title</th>\n",
       "      <th>num_ratings</th>\n",
       "      <th>avg_ratings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>80432</th>\n",
       "      <td>Harry Potter and the Prisoner of Azkaban (Book 3)</td>\n",
       "      <td>428</td>\n",
       "      <td>5.852804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80420</th>\n",
       "      <td>Harry Potter and the Goblet of Fire (Book 4)</td>\n",
       "      <td>387</td>\n",
       "      <td>5.824289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80424</th>\n",
       "      <td>Harry Potter and the Order of the Phoenix (Boo...</td>\n",
       "      <td>347</td>\n",
       "      <td>5.501441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80412</th>\n",
       "      <td>Harry Potter and the Chamber of Secrets (Book 2)</td>\n",
       "      <td>556</td>\n",
       "      <td>5.183453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187373</th>\n",
       "      <td>The Fellowship of the Ring (The Lord of the Ri...</td>\n",
       "      <td>368</td>\n",
       "      <td>4.948370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80443</th>\n",
       "      <td>Harry Potter and the Sorcerer's Stone (Harry P...</td>\n",
       "      <td>575</td>\n",
       "      <td>4.895652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219737</th>\n",
       "      <td>To Kill a Mockingbird</td>\n",
       "      <td>510</td>\n",
       "      <td>4.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183569</th>\n",
       "      <td>The Da Vinci Code</td>\n",
       "      <td>898</td>\n",
       "      <td>4.642539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187876</th>\n",
       "      <td>The Five People You Meet in Heaven</td>\n",
       "      <td>430</td>\n",
       "      <td>4.551163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180553</th>\n",
       "      <td>The Catcher in the Rye</td>\n",
       "      <td>449</td>\n",
       "      <td>4.545657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196322</th>\n",
       "      <td>The Lovely Bones: A Novel</td>\n",
       "      <td>1295</td>\n",
       "      <td>4.468726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206498</th>\n",
       "      <td>The Secret Life of Bees</td>\n",
       "      <td>774</td>\n",
       "      <td>4.447028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223131</th>\n",
       "      <td>Tuesdays with Morrie: An Old Man, a Young Man,...</td>\n",
       "      <td>493</td>\n",
       "      <td>4.354970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204383</th>\n",
       "      <td>The Red Tent (Bestselling Backlist)</td>\n",
       "      <td>723</td>\n",
       "      <td>4.334716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129377</th>\n",
       "      <td>Nickel and Dimed: On (Not) Getting By in America</td>\n",
       "      <td>335</td>\n",
       "      <td>4.289552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63865</th>\n",
       "      <td>Fahrenheit 451</td>\n",
       "      <td>409</td>\n",
       "      <td>4.264059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74748</th>\n",
       "      <td>Girl with a Pearl Earring</td>\n",
       "      <td>526</td>\n",
       "      <td>4.218631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233365</th>\n",
       "      <td>Where the Heart Is (Oprah's Book Club (Paperba...</td>\n",
       "      <td>585</td>\n",
       "      <td>4.105983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107960</th>\n",
       "      <td>Life of Pi</td>\n",
       "      <td>664</td>\n",
       "      <td>4.088855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176842</th>\n",
       "      <td>The Bean Trees</td>\n",
       "      <td>389</td>\n",
       "      <td>4.087404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76341</th>\n",
       "      <td>Good in Bed</td>\n",
       "      <td>490</td>\n",
       "      <td>4.055102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64929</th>\n",
       "      <td>Fast Food Nation: The Dark Side of the All-Ame...</td>\n",
       "      <td>321</td>\n",
       "      <td>4.037383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12700</th>\n",
       "      <td>American Gods</td>\n",
       "      <td>302</td>\n",
       "      <td>4.006623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161642</th>\n",
       "      <td>Skipping Christmas</td>\n",
       "      <td>322</td>\n",
       "      <td>4.006211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105775</th>\n",
       "      <td>Left Behind: A Novel of the Earth's Last Days ...</td>\n",
       "      <td>318</td>\n",
       "      <td>4.003145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189547</th>\n",
       "      <td>The Golden Compass (His Dark Materials, Book 1)</td>\n",
       "      <td>336</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181676</th>\n",
       "      <td>The Color Purple</td>\n",
       "      <td>314</td>\n",
       "      <td>3.964968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170098</th>\n",
       "      <td>Suzanne's Diary for Nicholas</td>\n",
       "      <td>457</td>\n",
       "      <td>3.820569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5664</th>\n",
       "      <td>A Prayer for Owen Meany</td>\n",
       "      <td>413</td>\n",
       "      <td>3.796610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212066</th>\n",
       "      <td>The Vampire Lestat (Vampire Chronicles, Book II)</td>\n",
       "      <td>301</td>\n",
       "      <td>3.777409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233846</th>\n",
       "      <td>White Oleander : A Novel (Oprah's Book Club)</td>\n",
       "      <td>356</td>\n",
       "      <td>3.772472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234735</th>\n",
       "      <td>Wicked: The Life and Times of the Wicked Witch...</td>\n",
       "      <td>326</td>\n",
       "      <td>3.766871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118235</th>\n",
       "      <td>Me Talk Pretty One Day</td>\n",
       "      <td>457</td>\n",
       "      <td>3.752735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219345</th>\n",
       "      <td>Timeline</td>\n",
       "      <td>552</td>\n",
       "      <td>3.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14392</th>\n",
       "      <td>Angels &amp;amp; Demons</td>\n",
       "      <td>670</td>\n",
       "      <td>3.708955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21754</th>\n",
       "      <td>Bel Canto: A Novel</td>\n",
       "      <td>350</td>\n",
       "      <td>3.702857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230241</th>\n",
       "      <td>Watership Down</td>\n",
       "      <td>312</td>\n",
       "      <td>3.698718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38814</th>\n",
       "      <td>Confessions of a Shopaholic (Summer Display Op...</td>\n",
       "      <td>350</td>\n",
       "      <td>3.634286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60164</th>\n",
       "      <td>Empire Falls</td>\n",
       "      <td>392</td>\n",
       "      <td>3.630102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112930</th>\n",
       "      <td>Lucky : A Memoir</td>\n",
       "      <td>301</td>\n",
       "      <td>3.621262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202546</th>\n",
       "      <td>The Poisonwood Bible: A Novel</td>\n",
       "      <td>494</td>\n",
       "      <td>3.609312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148035</th>\n",
       "      <td>Red Dragon</td>\n",
       "      <td>402</td>\n",
       "      <td>3.606965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202240</th>\n",
       "      <td>The Pilot's Wife : A Novel</td>\n",
       "      <td>568</td>\n",
       "      <td>3.593310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>818</th>\n",
       "      <td>1st to Die: A Novel</td>\n",
       "      <td>509</td>\n",
       "      <td>3.575639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159298</th>\n",
       "      <td>She's Come Undone (Oprah's Book Club)</td>\n",
       "      <td>468</td>\n",
       "      <td>3.570513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200249</th>\n",
       "      <td>The Notebook</td>\n",
       "      <td>650</td>\n",
       "      <td>3.560000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93208</th>\n",
       "      <td>Interview with the Vampire</td>\n",
       "      <td>508</td>\n",
       "      <td>3.551181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199233</th>\n",
       "      <td>The Nanny Diaries: A Novel</td>\n",
       "      <td>828</td>\n",
       "      <td>3.530193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27922</th>\n",
       "      <td>Bridget Jones's Diary</td>\n",
       "      <td>815</td>\n",
       "      <td>3.527607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233845</th>\n",
       "      <td>White Oleander : A Novel</td>\n",
       "      <td>387</td>\n",
       "      <td>3.506460</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Book-Title  num_ratings  \\\n",
       "80432   Harry Potter and the Prisoner of Azkaban (Book 3)          428   \n",
       "80420        Harry Potter and the Goblet of Fire (Book 4)          387   \n",
       "80424   Harry Potter and the Order of the Phoenix (Boo...          347   \n",
       "80412    Harry Potter and the Chamber of Secrets (Book 2)          556   \n",
       "187373  The Fellowship of the Ring (The Lord of the Ri...          368   \n",
       "80443   Harry Potter and the Sorcerer's Stone (Harry P...          575   \n",
       "219737                              To Kill a Mockingbird          510   \n",
       "183569                                  The Da Vinci Code          898   \n",
       "187876                 The Five People You Meet in Heaven          430   \n",
       "180553                             The Catcher in the Rye          449   \n",
       "196322                          The Lovely Bones: A Novel         1295   \n",
       "206498                            The Secret Life of Bees          774   \n",
       "223131  Tuesdays with Morrie: An Old Man, a Young Man,...          493   \n",
       "204383                The Red Tent (Bestselling Backlist)          723   \n",
       "129377   Nickel and Dimed: On (Not) Getting By in America          335   \n",
       "63865                                      Fahrenheit 451          409   \n",
       "74748                           Girl with a Pearl Earring          526   \n",
       "233365  Where the Heart Is (Oprah's Book Club (Paperba...          585   \n",
       "107960                                         Life of Pi          664   \n",
       "176842                                     The Bean Trees          389   \n",
       "76341                                         Good in Bed          490   \n",
       "64929   Fast Food Nation: The Dark Side of the All-Ame...          321   \n",
       "12700                                       American Gods          302   \n",
       "161642                                 Skipping Christmas          322   \n",
       "105775  Left Behind: A Novel of the Earth's Last Days ...          318   \n",
       "189547    The Golden Compass (His Dark Materials, Book 1)          336   \n",
       "181676                                   The Color Purple          314   \n",
       "170098                       Suzanne's Diary for Nicholas          457   \n",
       "5664                              A Prayer for Owen Meany          413   \n",
       "212066   The Vampire Lestat (Vampire Chronicles, Book II)          301   \n",
       "233846       White Oleander : A Novel (Oprah's Book Club)          356   \n",
       "234735  Wicked: The Life and Times of the Wicked Witch...          326   \n",
       "118235                             Me Talk Pretty One Day          457   \n",
       "219345                                           Timeline          552   \n",
       "14392                                 Angels &amp; Demons          670   \n",
       "21754                                  Bel Canto: A Novel          350   \n",
       "230241                                     Watership Down          312   \n",
       "38814   Confessions of a Shopaholic (Summer Display Op...          350   \n",
       "60164                                        Empire Falls          392   \n",
       "112930                                   Lucky : A Memoir          301   \n",
       "202546                      The Poisonwood Bible: A Novel          494   \n",
       "148035                                         Red Dragon          402   \n",
       "202240                         The Pilot's Wife : A Novel          568   \n",
       "818                                   1st to Die: A Novel          509   \n",
       "159298              She's Come Undone (Oprah's Book Club)          468   \n",
       "200249                                       The Notebook          650   \n",
       "93208                          Interview with the Vampire          508   \n",
       "199233                         The Nanny Diaries: A Novel          828   \n",
       "27922                               Bridget Jones's Diary          815   \n",
       "233845                           White Oleander : A Novel          387   \n",
       "\n",
       "        avg_ratings  \n",
       "80432      5.852804  \n",
       "80420      5.824289  \n",
       "80424      5.501441  \n",
       "80412      5.183453  \n",
       "187373     4.948370  \n",
       "80443      4.895652  \n",
       "219737     4.700000  \n",
       "183569     4.642539  \n",
       "187876     4.551163  \n",
       "180553     4.545657  \n",
       "196322     4.468726  \n",
       "206498     4.447028  \n",
       "223131     4.354970  \n",
       "204383     4.334716  \n",
       "129377     4.289552  \n",
       "63865      4.264059  \n",
       "74748      4.218631  \n",
       "233365     4.105983  \n",
       "107960     4.088855  \n",
       "176842     4.087404  \n",
       "76341      4.055102  \n",
       "64929      4.037383  \n",
       "12700      4.006623  \n",
       "161642     4.006211  \n",
       "105775     4.003145  \n",
       "189547     4.000000  \n",
       "181676     3.964968  \n",
       "170098     3.820569  \n",
       "5664       3.796610  \n",
       "212066     3.777409  \n",
       "233846     3.772472  \n",
       "234735     3.766871  \n",
       "118235     3.752735  \n",
       "219345     3.750000  \n",
       "14392      3.708955  \n",
       "21754      3.702857  \n",
       "230241     3.698718  \n",
       "38814      3.634286  \n",
       "60164      3.630102  \n",
       "112930     3.621262  \n",
       "202546     3.609312  \n",
       "148035     3.606965  \n",
       "202240     3.593310  \n",
       "818        3.575639  \n",
       "159298     3.570513  \n",
       "200249     3.560000  \n",
       "93208      3.551181  \n",
       "199233     3.530193  \n",
       "27922      3.527607  \n",
       "233845     3.506460  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting rows from the 'popular_df' DataFrame where the number of ratings is greater than or equal to 300.\n",
    "#sorting the selected rows by the 'avg_ratings' column in descending order.\n",
    "popular_df[popular_df[\"num_ratings\"] >= 300].sort_values(\"avg_ratings\", ascending = False).head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "#merging the 'popular_df' DataFrame with the 'books' DataFrame based on the common column \"Book-Title\".\n",
    "#dropping duplicate rows based on the \"Book-Title\" column.\n",
    "#selecting specific columns from the resulting DataFrame: \"Book-Title\", \"Book-Author\", \"Year-Of-Publication\", \"num_ratings\", \"avg_ratings\", and \"Image-URL-M\".\n",
    "popular_df = popular_df.merge(books, on = \"Book-Title\").drop_duplicates(\"Book-Title\")[[\"Book-Title\", \"Book-Author\", \"Year-Of-Publication\", \"num_ratings\",\"avg_ratings\", \"Image-URL-M\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "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>Book-Title</th>\n",
       "      <th>Book-Author</th>\n",
       "      <th>Year-Of-Publication</th>\n",
       "      <th>num_ratings</th>\n",
       "      <th>avg_ratings</th>\n",
       "      <th>Image-URL-M</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Light in the Storm: The Civil War Diary of ...</td>\n",
       "      <td>Karen Hesse</td>\n",
       "      <td>1999</td>\n",
       "      <td>4</td>\n",
       "      <td>2.250000</td>\n",
       "      <td>http://images.amazon.com/images/P/0590567330.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Always Have Popsicles</td>\n",
       "      <td>Rebecca Harvin</td>\n",
       "      <td>1994</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>http://images.amazon.com/images/P/0964147726.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Apple Magic (The Collector's series)</td>\n",
       "      <td>Martina Boudreau</td>\n",
       "      <td>1984</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>http://images.amazon.com/images/P/0942320093.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ask Lily (Young Women of Faith: Lily Series, ...</td>\n",
       "      <td>Nancy N. Rue</td>\n",
       "      <td>2001</td>\n",
       "      <td>1</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>http://images.amazon.com/images/P/0310232546.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
       "      <td>Lou Mobley</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>http://images.amazon.com/images/P/0962295701.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270285</th>\n",
       "      <td>Ã?Â?lpiraten.</td>\n",
       "      <td>Janwillem van de Wetering</td>\n",
       "      <td>2002</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>http://images.amazon.com/images/P/3499232499.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270286</th>\n",
       "      <td>Ã?Â?rger mit Produkt X. Roman.</td>\n",
       "      <td>Joan Aiken</td>\n",
       "      <td>1987</td>\n",
       "      <td>4</td>\n",
       "      <td>5.250000</td>\n",
       "      <td>http://images.amazon.com/images/P/325721538X.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270287</th>\n",
       "      <td>Ã?Â?sterlich leben.</td>\n",
       "      <td>Anselm GrÃ?Â¼n</td>\n",
       "      <td>2001</td>\n",
       "      <td>1</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>http://images.amazon.com/images/P/3451274973.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270288</th>\n",
       "      <td>Ã?Â?stlich der Berge.</td>\n",
       "      <td>David Guterson</td>\n",
       "      <td>2000</td>\n",
       "      <td>3</td>\n",
       "      <td>2.666667</td>\n",
       "      <td>http://images.amazon.com/images/P/3442725739.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270289</th>\n",
       "      <td>Ã?Â?thique en toc</td>\n",
       "      <td>Didier Daeninckx</td>\n",
       "      <td>1998</td>\n",
       "      <td>2</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>http://images.amazon.com/images/P/2842192508.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>241066 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Book-Title  \\\n",
       "0        A Light in the Storm: The Civil War Diary of ...   \n",
       "1                                   Always Have Popsicles   \n",
       "2                    Apple Magic (The Collector's series)   \n",
       "3        Ask Lily (Young Women of Faith: Lily Series, ...   \n",
       "4        Beyond IBM: Leadership Marketing and Finance ...   \n",
       "...                                                   ...   \n",
       "270285                                      Ã?Â?lpiraten.   \n",
       "270286                     Ã?Â?rger mit Produkt X. Roman.   \n",
       "270287                                Ã?Â?sterlich leben.   \n",
       "270288                              Ã?Â?stlich der Berge.   \n",
       "270289                                  Ã?Â?thique en toc   \n",
       "\n",
       "                      Book-Author  Year-Of-Publication  num_ratings  \\\n",
       "0                     Karen Hesse                 1999            4   \n",
       "1                  Rebecca Harvin                 1994            1   \n",
       "2                Martina Boudreau                 1984            1   \n",
       "3                    Nancy N. Rue                 2001            1   \n",
       "4                      Lou Mobley                 1989            1   \n",
       "...                           ...                  ...          ...   \n",
       "270285  Janwillem van de Wetering                 2002            2   \n",
       "270286                 Joan Aiken                 1987            4   \n",
       "270287             Anselm GrÃ?Â¼n                 2001            1   \n",
       "270288             David Guterson                 2000            3   \n",
       "270289           Didier Daeninckx                 1998            2   \n",
       "\n",
       "        avg_ratings                                        Image-URL-M  \n",
       "0          2.250000  http://images.amazon.com/images/P/0590567330.0...  \n",
       "1          0.000000  http://images.amazon.com/images/P/0964147726.0...  \n",
       "2          0.000000  http://images.amazon.com/images/P/0942320093.0...  \n",
       "3          8.000000  http://images.amazon.com/images/P/0310232546.0...  \n",
       "4          0.000000  http://images.amazon.com/images/P/0962295701.0...  \n",
       "...             ...                                                ...  \n",
       "270285     0.000000  http://images.amazon.com/images/P/3499232499.0...  \n",
       "270286     5.250000  http://images.amazon.com/images/P/325721538X.0...  \n",
       "270287     7.000000  http://images.amazon.com/images/P/3451274973.0...  \n",
       "270288     2.666667  http://images.amazon.com/images/P/3442725739.0...  \n",
       "270289     4.000000  http://images.amazon.com/images/P/2842192508.0...  \n",
       "\n",
       "[241066 rows x 6 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popular_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### EDA on current Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(241066, 6)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking shape\n",
    "popular_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 241066 entries, 0 to 270289\n",
      "Data columns (total 6 columns):\n",
      " #   Column               Non-Null Count   Dtype  \n",
      "---  ------               --------------   -----  \n",
      " 0   Book-Title           241066 non-null  object \n",
      " 1   Book-Author          241066 non-null  object \n",
      " 2   Year-Of-Publication  241066 non-null  int64  \n",
      " 3   num_ratings          241066 non-null  int64  \n",
      " 4   avg_ratings          241066 non-null  float64\n",
      " 5   Image-URL-M          241066 non-null  object \n",
      "dtypes: float64(1), int64(2), object(3)\n",
      "memory usage: 12.9+ MB\n"
     ]
    }
   ],
   "source": [
    "#checking information\n",
    "popular_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Book-Title             0\n",
       "Book-Author            0\n",
       "Year-Of-Publication    0\n",
       "num_ratings            0\n",
       "avg_ratings            0\n",
       "Image-URL-M            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking null values\n",
    "popular_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking duplicates values\n",
    "popular_df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#histogram of the Year-Of-Publication column\n",
    "sns.distplot(popular_df[\"Year-Of-Publication\"], bins = 30, kde = False)\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "plt.title(\"Histogram of Year-Of-Publication\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#distribution of the average ratings\n",
    "sns.distplot(popular_df[\"avg_ratings\"], bins = 30, kde = False)\n",
    "plt.xlabel(\"Average Rating\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.title(\"Distribution of Average Ratings\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#distribution of the number of ratings\n",
    "sns.distplot(popular_df[\"num_ratings\"], bins = 30, kde = False)\n",
    "plt.xlabel(\"Number of Ratings\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.title(\"Distribution of Number of Ratings\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Book-Author\n",
      "Stephen King          10270\n",
      "Nora Roberts           8476\n",
      "James Patterson        5993\n",
      "John Grisham           5825\n",
      "Mary Higgins Clark     4844\n",
      "Dean R. Koontz         4451\n",
      "Tom Clancy             4046\n",
      "Sue Grafton            3371\n",
      "Janet Evanovich        3354\n",
      "Anne Rice              3087\n",
      "Name: num_ratings, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#grouping the 'popular_df' DataFrame by \"Book-Author\" and summing up the \"num_ratings\" for each author.\n",
    "#selecting the top 10 authors with the highest total number of ratings.\n",
    "top_authors = popular_df.groupby(\"Book-Author\")[\"num_ratings\"].sum().nlargest(10)\n",
    "print(top_authors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#bar chart of the top 10 most frequent authors\n",
    "top_authors = popular_df.groupby(\"Book-Author\")[\"num_ratings\"].sum().nlargest(10)\n",
    "plt.bar(top_authors.index, top_authors.values)\n",
    "plt.xlabel(\"Author\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.title(\"Top 10 Most Frequent Authors\")\n",
    "plt.xticks(rotation = 90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#visualize the relationship between the number of ratings and the average ratings\n",
    "plt.scatter(popular_df[\"num_ratings\"], popular_df[\"avg_ratings\"])\n",
    "plt.xlabel(\"Number of Ratings\")\n",
    "plt.ylabel(\"Average Rating\")\n",
    "plt.title(\"Relationship between Number of Ratings and Average Rating\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "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>Book-Title</th>\n",
       "      <th>Book-Author</th>\n",
       "      <th>Year-Of-Publication</th>\n",
       "      <th>num_ratings</th>\n",
       "      <th>avg_ratings</th>\n",
       "      <th>Image-URL-M</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Dark Justice</td>\n",
       "      <td>Jack Higgins</td>\n",
       "      <td>2004</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>http://images.amazon.com/images/P/0399151788.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>'California Historical Landmarks'</td>\n",
       "      <td>California State Parks Office of Historic Pres...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>http://images.amazon.com/images/P/0941925196.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>'Isms: a dictionary of words ending in -ism, -...</td>\n",
       "      <td>Eng Sheffield</td>\n",
       "      <td>1972</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>http://images.amazon.com/images/P/0854098089.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>'Round the Corner (Sister Circle)</td>\n",
       "      <td>Vonette Bright</td>\n",
       "      <td>2003</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>http://images.amazon.com/images/P/0842371907.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>006781: Bk.1 Gags De Boule Et Bil</td>\n",
       "      <td>ROBA</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>http://images.amazon.com/images/P/2266022253.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>1,000 Makers of the Millennium: The Men and Wo...</td>\n",
       "      <td>Dorling Kindersley Publishing</td>\n",
       "      <td>1999</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>http://images.amazon.com/images/P/0789447096.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>1,001 Computer Hints &amp;amp; Tips: An A-To-Z Gui...</td>\n",
       "      <td>Readers Digest</td>\n",
       "      <td>2002</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>http://images.amazon.com/images/P/0762103388.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>1,001 Things Everyone Should Know About Americ...</td>\n",
       "      <td>John A. Garraty</td>\n",
       "      <td>1989</td>\n",
       "      <td>2</td>\n",
       "      <td>10.0</td>\n",
       "      <td>http://images.amazon.com/images/P/0385244320.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>1,001 Ways to Save the Planet</td>\n",
       "      <td>Bernadette Vallely</td>\n",
       "      <td>1990</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>http://images.amazon.com/images/P/0804107572.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>10 American History Plays for the Classroom (G...</td>\n",
       "      <td>Sarrah J. Glasscock</td>\n",
       "      <td>1999</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>http://images.amazon.com/images/P/0590599313.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Book-Title  \\\n",
       "6                                         Dark Justice   \n",
       "61                   'California Historical Landmarks'   \n",
       "66   'Isms: a dictionary of words ending in -ism, -...   \n",
       "76                   'Round the Corner (Sister Circle)   \n",
       "124                  006781: Bk.1 Gags De Boule Et Bil   \n",
       "147  1,000 Makers of the Millennium: The Men and Wo...   \n",
       "157  1,001 Computer Hints &amp; Tips: An A-To-Z Gui...   \n",
       "170  1,001 Things Everyone Should Know About Americ...   \n",
       "173                      1,001 Ways to Save the Planet   \n",
       "198  10 American History Plays for the Classroom (G...   \n",
       "\n",
       "                                           Book-Author  Year-Of-Publication  \\\n",
       "6                                         Jack Higgins                 2004   \n",
       "61   California State Parks Office of Historic Pres...                    0   \n",
       "66                                       Eng Sheffield                 1972   \n",
       "76                                      Vonette Bright                 2003   \n",
       "124                                               ROBA                    0   \n",
       "147                      Dorling Kindersley Publishing                 1999   \n",
       "157                                     Readers Digest                 2002   \n",
       "170                                    John A. Garraty                 1989   \n",
       "173                                 Bernadette Vallely                 1990   \n",
       "198                                Sarrah J. Glasscock                 1999   \n",
       "\n",
       "     num_ratings  avg_ratings  \\\n",
       "6              1         10.0   \n",
       "61             1         10.0   \n",
       "66             1         10.0   \n",
       "76             1         10.0   \n",
       "124            1         10.0   \n",
       "147            1         10.0   \n",
       "157            1         10.0   \n",
       "170            2         10.0   \n",
       "173            1         10.0   \n",
       "198            1         10.0   \n",
       "\n",
       "                                           Image-URL-M  \n",
       "6    http://images.amazon.com/images/P/0399151788.0...  \n",
       "61   http://images.amazon.com/images/P/0941925196.0...  \n",
       "66   http://images.amazon.com/images/P/0854098089.0...  \n",
       "76   http://images.amazon.com/images/P/0842371907.0...  \n",
       "124  http://images.amazon.com/images/P/2266022253.0...  \n",
       "147  http://images.amazon.com/images/P/0789447096.0...  \n",
       "157  http://images.amazon.com/images/P/0762103388.0...  \n",
       "170  http://images.amazon.com/images/P/0385244320.0...  \n",
       "173  http://images.amazon.com/images/P/0804107572.0...  \n",
       "198  http://images.amazon.com/images/P/0590599313.0...  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#top rated books\n",
    "top_rated_books = popular_df.nlargest(10, \"avg_ratings\")\n",
    "top_rated_books"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#distribution of the number of ratings by year\n",
    "ratings_by_year = popular_df.groupby(\"Year-Of-Publication\")[\"num_ratings\"].sum()\n",
    "ratings_by_year.plot()\n",
    "plt.xlabel(\"Year of Publication\")\n",
    "plt.ylabel(\"Number of Ratings\")\n",
    "plt.title(\"Distribution of Number of Ratings by Year\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#distribution of the average ratings by year\n",
    "avg_ratings_by_year = popular_df.groupby(\"Year-Of-Publication\")[\"avg_ratings\"].mean()\n",
    "avg_ratings_by_year.plot()\n",
    "plt.xlabel(\"Year of Publication\")\n",
    "plt.ylabel(\"Average Rating\")\n",
    "plt.title(\"Distribution of Average Ratings by Year\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Recommendation System Based on Collaborative Filtering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = names_with_ratings.groupby(\"User-ID\").count()[\"Book-Rating\"] > 200\n",
    "educated_users = x[x].index #users who have rated more than 200 books "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered_rating = names_with_ratings[names_with_ratings['User-ID'].isin(educated_users)] #contains only the ratings from educated users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "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>User-ID</th>\n",
       "      <th>ISBN</th>\n",
       "      <th>Book-Rating</th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>Book-Author</th>\n",
       "      <th>Year-Of-Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Image-URL-S</th>\n",
       "      <th>Image-URL-M</th>\n",
       "      <th>Image-URL-L</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6543</td>\n",
       "      <td>034545104X</td>\n",
       "      <td>0</td>\n",
       "      <td>Flesh Tones: A Novel</td>\n",
       "      <td>M. J. Rose</td>\n",
       "      <td>2002</td>\n",
       "      <td>Ballantine Books</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>23768</td>\n",
       "      <td>034545104X</td>\n",
       "      <td>0</td>\n",
       "      <td>Flesh Tones: A Novel</td>\n",
       "      <td>M. J. Rose</td>\n",
       "      <td>2002</td>\n",
       "      <td>Ballantine Books</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>28523</td>\n",
       "      <td>034545104X</td>\n",
       "      <td>0</td>\n",
       "      <td>Flesh Tones: A Novel</td>\n",
       "      <td>M. J. Rose</td>\n",
       "      <td>2002</td>\n",
       "      <td>Ballantine Books</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>77940</td>\n",
       "      <td>034545104X</td>\n",
       "      <td>0</td>\n",
       "      <td>Flesh Tones: A Novel</td>\n",
       "      <td>M. J. Rose</td>\n",
       "      <td>2002</td>\n",
       "      <td>Ballantine Books</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>81977</td>\n",
       "      <td>034545104X</td>\n",
       "      <td>0</td>\n",
       "      <td>Flesh Tones: A Novel</td>\n",
       "      <td>M. J. Rose</td>\n",
       "      <td>2002</td>\n",
       "      <td>Ballantine Books</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1030876</th>\n",
       "      <td>275970</td>\n",
       "      <td>1880837927</td>\n",
       "      <td>0</td>\n",
       "      <td>The Theology of the Hammer</td>\n",
       "      <td>Millard Fuller</td>\n",
       "      <td>1994</td>\n",
       "      <td>Smyth &amp;amp; Helwys Publishing</td>\n",
       "      <td>http://images.amazon.com/images/P/1880837927.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/1880837927.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/1880837927.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1030877</th>\n",
       "      <td>275970</td>\n",
       "      <td>188717897X</td>\n",
       "      <td>0</td>\n",
       "      <td>The Ordeal of Integration: Progress and Resent...</td>\n",
       "      <td>Orlando Patterson</td>\n",
       "      <td>1998</td>\n",
       "      <td>Civitas Book Publisher</td>\n",
       "      <td>http://images.amazon.com/images/P/188717897X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/188717897X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/188717897X.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1030878</th>\n",
       "      <td>275970</td>\n",
       "      <td>1888889047</td>\n",
       "      <td>0</td>\n",
       "      <td>Pushcart's Complete Rotten Reviews &amp;amp; Rejec...</td>\n",
       "      <td>Bill Henderson</td>\n",
       "      <td>1998</td>\n",
       "      <td>Pushcart Press</td>\n",
       "      <td>http://images.amazon.com/images/P/1888889047.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/1888889047.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/1888889047.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1030879</th>\n",
       "      <td>275970</td>\n",
       "      <td>1931868123</td>\n",
       "      <td>0</td>\n",
       "      <td>There's a Porcupine in My Outhouse: Misadventu...</td>\n",
       "      <td>Mike Tougias</td>\n",
       "      <td>2002</td>\n",
       "      <td>Capital Books (VA)</td>\n",
       "      <td>http://images.amazon.com/images/P/1931868123.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/1931868123.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/1931868123.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1030880</th>\n",
       "      <td>275970</td>\n",
       "      <td>3411086211</td>\n",
       "      <td>10</td>\n",
       "      <td>Die Biene.</td>\n",
       "      <td>Sybil GrÃ?Â¤fin SchÃ?Â¶nfeldt</td>\n",
       "      <td>1993</td>\n",
       "      <td>Bibliographisches Institut, Mannheim</td>\n",
       "      <td>http://images.amazon.com/images/P/3411086211.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/3411086211.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/3411086211.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>474003 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         User-ID        ISBN  Book-Rating  \\\n",
       "2           6543  034545104X            0   \n",
       "5          23768  034545104X            0   \n",
       "7          28523  034545104X            0   \n",
       "15         77940  034545104X            0   \n",
       "16         81977  034545104X            0   \n",
       "...          ...         ...          ...   \n",
       "1030876   275970  1880837927            0   \n",
       "1030877   275970  188717897X            0   \n",
       "1030878   275970  1888889047            0   \n",
       "1030879   275970  1931868123            0   \n",
       "1030880   275970  3411086211           10   \n",
       "\n",
       "                                                Book-Title  \\\n",
       "2                                     Flesh Tones: A Novel   \n",
       "5                                     Flesh Tones: A Novel   \n",
       "7                                     Flesh Tones: A Novel   \n",
       "15                                    Flesh Tones: A Novel   \n",
       "16                                    Flesh Tones: A Novel   \n",
       "...                                                    ...   \n",
       "1030876                         The Theology of the Hammer   \n",
       "1030877  The Ordeal of Integration: Progress and Resent...   \n",
       "1030878  Pushcart's Complete Rotten Reviews &amp; Rejec...   \n",
       "1030879  There's a Porcupine in My Outhouse: Misadventu...   \n",
       "1030880                                         Die Biene.   \n",
       "\n",
       "                           Book-Author  Year-Of-Publication  \\\n",
       "2                           M. J. Rose                 2002   \n",
       "5                           M. J. Rose                 2002   \n",
       "7                           M. J. Rose                 2002   \n",
       "15                          M. J. Rose                 2002   \n",
       "16                          M. J. Rose                 2002   \n",
       "...                                ...                  ...   \n",
       "1030876                 Millard Fuller                 1994   \n",
       "1030877              Orlando Patterson                 1998   \n",
       "1030878                 Bill Henderson                 1998   \n",
       "1030879                   Mike Tougias                 2002   \n",
       "1030880  Sybil GrÃ?Â¤fin SchÃ?Â¶nfeldt                 1993   \n",
       "\n",
       "                                    Publisher  \\\n",
       "2                            Ballantine Books   \n",
       "5                            Ballantine Books   \n",
       "7                            Ballantine Books   \n",
       "15                           Ballantine Books   \n",
       "16                           Ballantine Books   \n",
       "...                                       ...   \n",
       "1030876         Smyth &amp; Helwys Publishing   \n",
       "1030877                Civitas Book Publisher   \n",
       "1030878                        Pushcart Press   \n",
       "1030879                    Capital Books (VA)   \n",
       "1030880  Bibliographisches Institut, Mannheim   \n",
       "\n",
       "                                               Image-URL-S  \\\n",
       "2        http://images.amazon.com/images/P/034545104X.0...   \n",
       "5        http://images.amazon.com/images/P/034545104X.0...   \n",
       "7        http://images.amazon.com/images/P/034545104X.0...   \n",
       "15       http://images.amazon.com/images/P/034545104X.0...   \n",
       "16       http://images.amazon.com/images/P/034545104X.0...   \n",
       "...                                                    ...   \n",
       "1030876  http://images.amazon.com/images/P/1880837927.0...   \n",
       "1030877  http://images.amazon.com/images/P/188717897X.0...   \n",
       "1030878  http://images.amazon.com/images/P/1888889047.0...   \n",
       "1030879  http://images.amazon.com/images/P/1931868123.0...   \n",
       "1030880  http://images.amazon.com/images/P/3411086211.0...   \n",
       "\n",
       "                                               Image-URL-M  \\\n",
       "2        http://images.amazon.com/images/P/034545104X.0...   \n",
       "5        http://images.amazon.com/images/P/034545104X.0...   \n",
       "7        http://images.amazon.com/images/P/034545104X.0...   \n",
       "15       http://images.amazon.com/images/P/034545104X.0...   \n",
       "16       http://images.amazon.com/images/P/034545104X.0...   \n",
       "...                                                    ...   \n",
       "1030876  http://images.amazon.com/images/P/1880837927.0...   \n",
       "1030877  http://images.amazon.com/images/P/188717897X.0...   \n",
       "1030878  http://images.amazon.com/images/P/1888889047.0...   \n",
       "1030879  http://images.amazon.com/images/P/1931868123.0...   \n",
       "1030880  http://images.amazon.com/images/P/3411086211.0...   \n",
       "\n",
       "                                               Image-URL-L  \n",
       "2        http://images.amazon.com/images/P/034545104X.0...  \n",
       "5        http://images.amazon.com/images/P/034545104X.0...  \n",
       "7        http://images.amazon.com/images/P/034545104X.0...  \n",
       "15       http://images.amazon.com/images/P/034545104X.0...  \n",
       "16       http://images.amazon.com/images/P/034545104X.0...  \n",
       "...                                                    ...  \n",
       "1030876  http://images.amazon.com/images/P/1880837927.0...  \n",
       "1030877  http://images.amazon.com/images/P/188717897X.0...  \n",
       "1030878  http://images.amazon.com/images/P/1888889047.0...  \n",
       "1030879  http://images.amazon.com/images/P/1931868123.0...  \n",
       "1030880  http://images.amazon.com/images/P/3411086211.0...  \n",
       "\n",
       "[474003 rows x 10 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = filtered_rating.groupby(\"Book-Title\").count()[\"Book-Rating\"] >= 50  #books that have 50 or more ratings\n",
    "famous_books = y[y].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['1984', '1st to Die: A Novel', '2nd Chance', '4 Blondes',\n",
       "       'A Bend in the Road', 'A Case of Need',\n",
       "       'A Child Called \\It\\\": One Child's Courage to Survive\"',\n",
       "       'A Civil Action', 'A Day Late and a Dollar Short', 'A Fine Balance',\n",
       "       ...\n",
       "       'Winter Solstice', 'Wish You Well', 'Without Remorse',\n",
       "       'Wizard and Glass (The Dark Tower, Book 4)', 'Wuthering Heights',\n",
       "       'Year of Wonders', 'You Belong To Me',\n",
       "       'Zen and the Art of Motorcycle Maintenance: An Inquiry into Values',\n",
       "       'Zoya', '\\O\\\" Is for Outlaw\"'],\n",
       "      dtype='object', name='Book-Title', length=706)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "famous_books"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "#filter ratings to include only those for books that have 50 or more ratings and are rated by educated users\n",
    "final_ratings = filtered_rating[filtered_rating[\"Book-Title\"].isin(famous_books)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "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>User-ID</th>\n",
       "      <th>ISBN</th>\n",
       "      <th>Book-Rating</th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>Book-Author</th>\n",
       "      <th>Year-Of-Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Image-URL-S</th>\n",
       "      <th>Image-URL-M</th>\n",
       "      <th>Image-URL-L</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>278418</td>\n",
       "      <td>0446520802</td>\n",
       "      <td>0</td>\n",
       "      <td>The Notebook</td>\n",
       "      <td>Nicholas Sparks</td>\n",
       "      <td>1996</td>\n",
       "      <td>Warner Books</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>3363</td>\n",
       "      <td>0446520802</td>\n",
       "      <td>0</td>\n",
       "      <td>The Notebook</td>\n",
       "      <td>Nicholas Sparks</td>\n",
       "      <td>1996</td>\n",
       "      <td>Warner Books</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>7158</td>\n",
       "      <td>0446520802</td>\n",
       "      <td>10</td>\n",
       "      <td>The Notebook</td>\n",
       "      <td>Nicholas Sparks</td>\n",
       "      <td>1996</td>\n",
       "      <td>Warner Books</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>11676</td>\n",
       "      <td>0446520802</td>\n",
       "      <td>10</td>\n",
       "      <td>The Notebook</td>\n",
       "      <td>Nicholas Sparks</td>\n",
       "      <td>1996</td>\n",
       "      <td>Warner Books</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>23768</td>\n",
       "      <td>0446520802</td>\n",
       "      <td>6</td>\n",
       "      <td>The Notebook</td>\n",
       "      <td>Nicholas Sparks</td>\n",
       "      <td>1996</td>\n",
       "      <td>Warner Books</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1026717</th>\n",
       "      <td>266865</td>\n",
       "      <td>0531001725</td>\n",
       "      <td>10</td>\n",
       "      <td>The Catcher in the Rye</td>\n",
       "      <td>Jerome David Salinger</td>\n",
       "      <td>1973</td>\n",
       "      <td>Scholastic Library Pub</td>\n",
       "      <td>http://images.amazon.com/images/P/0531001725.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0531001725.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0531001725.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1027916</th>\n",
       "      <td>269566</td>\n",
       "      <td>0670809381</td>\n",
       "      <td>0</td>\n",
       "      <td>Echoes</td>\n",
       "      <td>Maeve Binchy</td>\n",
       "      <td>1986</td>\n",
       "      <td>Penguin USA</td>\n",
       "      <td>http://images.amazon.com/images/P/0670809381.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0670809381.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0670809381.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1028770</th>\n",
       "      <td>271284</td>\n",
       "      <td>0440910927</td>\n",
       "      <td>0</td>\n",
       "      <td>The Rainmaker</td>\n",
       "      <td>John Grisham</td>\n",
       "      <td>1995</td>\n",
       "      <td>Island</td>\n",
       "      <td>http://images.amazon.com/images/P/0440910927.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0440910927.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0440910927.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1029063</th>\n",
       "      <td>271705</td>\n",
       "      <td>B0001PIOX4</td>\n",
       "      <td>0</td>\n",
       "      <td>Fahrenheit 451</td>\n",
       "      <td>Ray Bradbury</td>\n",
       "      <td>1993</td>\n",
       "      <td>Simon &amp;amp; Schuster</td>\n",
       "      <td>http://images.amazon.com/images/P/B0001PIOX4.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/B0001PIOX4.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/B0001PIOX4.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1030861</th>\n",
       "      <td>275970</td>\n",
       "      <td>1586210661</td>\n",
       "      <td>9</td>\n",
       "      <td>Me Talk Pretty One Day</td>\n",
       "      <td>David Sedaris</td>\n",
       "      <td>2001</td>\n",
       "      <td>Time Warner Audio Major</td>\n",
       "      <td>http://images.amazon.com/images/P/1586210661.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/1586210661.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/1586210661.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>58586 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         User-ID        ISBN  Book-Rating              Book-Title  \\\n",
       "63        278418  0446520802            0            The Notebook   \n",
       "65          3363  0446520802            0            The Notebook   \n",
       "66          7158  0446520802           10            The Notebook   \n",
       "69         11676  0446520802           10            The Notebook   \n",
       "74         23768  0446520802            6            The Notebook   \n",
       "...          ...         ...          ...                     ...   \n",
       "1026717   266865  0531001725           10  The Catcher in the Rye   \n",
       "1027916   269566  0670809381            0                  Echoes   \n",
       "1028770   271284  0440910927            0           The Rainmaker   \n",
       "1029063   271705  B0001PIOX4            0          Fahrenheit 451   \n",
       "1030861   275970  1586210661            9  Me Talk Pretty One Day   \n",
       "\n",
       "                   Book-Author  Year-Of-Publication                Publisher  \\\n",
       "63             Nicholas Sparks                 1996             Warner Books   \n",
       "65             Nicholas Sparks                 1996             Warner Books   \n",
       "66             Nicholas Sparks                 1996             Warner Books   \n",
       "69             Nicholas Sparks                 1996             Warner Books   \n",
       "74             Nicholas Sparks                 1996             Warner Books   \n",
       "...                        ...                  ...                      ...   \n",
       "1026717  Jerome David Salinger                 1973   Scholastic Library Pub   \n",
       "1027916           Maeve Binchy                 1986              Penguin USA   \n",
       "1028770           John Grisham                 1995                   Island   \n",
       "1029063           Ray Bradbury                 1993     Simon &amp; Schuster   \n",
       "1030861          David Sedaris                 2001  Time Warner Audio Major   \n",
       "\n",
       "                                               Image-URL-S  \\\n",
       "63       http://images.amazon.com/images/P/0446520802.0...   \n",
       "65       http://images.amazon.com/images/P/0446520802.0...   \n",
       "66       http://images.amazon.com/images/P/0446520802.0...   \n",
       "69       http://images.amazon.com/images/P/0446520802.0...   \n",
       "74       http://images.amazon.com/images/P/0446520802.0...   \n",
       "...                                                    ...   \n",
       "1026717  http://images.amazon.com/images/P/0531001725.0...   \n",
       "1027916  http://images.amazon.com/images/P/0670809381.0...   \n",
       "1028770  http://images.amazon.com/images/P/0440910927.0...   \n",
       "1029063  http://images.amazon.com/images/P/B0001PIOX4.0...   \n",
       "1030861  http://images.amazon.com/images/P/1586210661.0...   \n",
       "\n",
       "                                               Image-URL-M  \\\n",
       "63       http://images.amazon.com/images/P/0446520802.0...   \n",
       "65       http://images.amazon.com/images/P/0446520802.0...   \n",
       "66       http://images.amazon.com/images/P/0446520802.0...   \n",
       "69       http://images.amazon.com/images/P/0446520802.0...   \n",
       "74       http://images.amazon.com/images/P/0446520802.0...   \n",
       "...                                                    ...   \n",
       "1026717  http://images.amazon.com/images/P/0531001725.0...   \n",
       "1027916  http://images.amazon.com/images/P/0670809381.0...   \n",
       "1028770  http://images.amazon.com/images/P/0440910927.0...   \n",
       "1029063  http://images.amazon.com/images/P/B0001PIOX4.0...   \n",
       "1030861  http://images.amazon.com/images/P/1586210661.0...   \n",
       "\n",
       "                                               Image-URL-L  \n",
       "63       http://images.amazon.com/images/P/0446520802.0...  \n",
       "65       http://images.amazon.com/images/P/0446520802.0...  \n",
       "66       http://images.amazon.com/images/P/0446520802.0...  \n",
       "69       http://images.amazon.com/images/P/0446520802.0...  \n",
       "74       http://images.amazon.com/images/P/0446520802.0...  \n",
       "...                                                    ...  \n",
       "1026717  http://images.amazon.com/images/P/0531001725.0...  \n",
       "1027916  http://images.amazon.com/images/P/0670809381.0...  \n",
       "1028770  http://images.amazon.com/images/P/0440910927.0...  \n",
       "1029063  http://images.amazon.com/images/P/B0001PIOX4.0...  \n",
       "1030861  http://images.amazon.com/images/P/1586210661.0...  \n",
       "\n",
       "[58586 rows x 10 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_ratings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create a pivot table using the final_ratings DataFrame\n",
    "pivot_table = final_ratings.pivot_table(index = \"Book-Title\",columns = \"User-ID\", values = \"Book-Rating\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "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>User-ID</th>\n",
       "      <th>254</th>\n",
       "      <th>2276</th>\n",
       "      <th>2766</th>\n",
       "      <th>2977</th>\n",
       "      <th>3363</th>\n",
       "      <th>4017</th>\n",
       "      <th>4385</th>\n",
       "      <th>6251</th>\n",
       "      <th>6323</th>\n",
       "      <th>6543</th>\n",
       "      <th>...</th>\n",
       "      <th>271705</th>\n",
       "      <th>273979</th>\n",
       "      <th>274004</th>\n",
       "      <th>274061</th>\n",
       "      <th>274301</th>\n",
       "      <th>274308</th>\n",
       "      <th>275970</th>\n",
       "      <th>277427</th>\n",
       "      <th>277639</th>\n",
       "      <th>278418</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Book-Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></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>1984</th>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1st to Die: A Novel</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2nd Chance</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4 Blondes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Bend in the Road</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year of Wonders</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Belong To Me</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zen and the Art of Motorcycle Maintenance: An Inquiry into Values</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zoya</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>\\O\\\" Is for Outlaw\"</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>706 rows × 810 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "User-ID                                             254     2276    2766    \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   9.0     NaN     NaN   \n",
       "1st to Die: A Novel                                    NaN     NaN     NaN   \n",
       "2nd Chance                                             NaN    10.0     NaN   \n",
       "4 Blondes                                              NaN     NaN     NaN   \n",
       "A Bend in the Road                                     0.0     NaN     7.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        NaN     NaN     NaN   \n",
       "You Belong To Me                                       NaN     NaN     NaN   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     NaN     NaN     NaN   \n",
       "Zoya                                                   NaN     NaN     NaN   \n",
       "\\O\\\" Is for Outlaw\"                                    NaN     NaN     NaN   \n",
       "\n",
       "User-ID                                             2977    3363    4017    \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   NaN     NaN     NaN   \n",
       "1st to Die: A Novel                                    NaN     NaN     NaN   \n",
       "2nd Chance                                             NaN     NaN     NaN   \n",
       "4 Blondes                                              NaN     NaN     NaN   \n",
       "A Bend in the Road                                     NaN     NaN     NaN   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        7.0     NaN     NaN   \n",
       "You Belong To Me                                       NaN     NaN     NaN   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     NaN     0.0     NaN   \n",
       "Zoya                                                   NaN     NaN     NaN   \n",
       "\\O\\\" Is for Outlaw\"                                    NaN     NaN     NaN   \n",
       "\n",
       "User-ID                                             4385    6251    6323    \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   NaN     NaN     NaN   \n",
       "1st to Die: A Novel                                    NaN     NaN     NaN   \n",
       "2nd Chance                                             NaN     NaN     NaN   \n",
       "4 Blondes                                              NaN     0.0     NaN   \n",
       "A Bend in the Road                                     NaN     NaN     NaN   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        NaN     NaN     NaN   \n",
       "You Belong To Me                                       NaN     NaN     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     NaN     0.0     NaN   \n",
       "Zoya                                                   NaN     NaN     NaN   \n",
       "\\O\\\" Is for Outlaw\"                                    NaN     NaN     NaN   \n",
       "\n",
       "User-ID                                             6543    ...  271705  \\\n",
       "Book-Title                                                  ...           \n",
       "1984                                                   NaN  ...    10.0   \n",
       "1st to Die: A Novel                                    9.0  ...     NaN   \n",
       "2nd Chance                                             0.0  ...     NaN   \n",
       "4 Blondes                                              NaN  ...     NaN   \n",
       "A Bend in the Road                                     NaN  ...     NaN   \n",
       "...                                                    ...  ...     ...   \n",
       "Year of Wonders                                        0.0  ...     NaN   \n",
       "You Belong To Me                                       NaN  ...     NaN   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     NaN  ...     NaN   \n",
       "Zoya                                                   NaN  ...     NaN   \n",
       "\\O\\\" Is for Outlaw\"                                    NaN  ...     NaN   \n",
       "\n",
       "User-ID                                             273979  274004  274061  \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   NaN     NaN     NaN   \n",
       "1st to Die: A Novel                                    NaN     NaN     NaN   \n",
       "2nd Chance                                             NaN     NaN     NaN   \n",
       "4 Blondes                                              NaN     NaN     NaN   \n",
       "A Bend in the Road                                     0.0     NaN     NaN   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        9.0     NaN     NaN   \n",
       "You Belong To Me                                       NaN     NaN     NaN   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     NaN     NaN     NaN   \n",
       "Zoya                                                   0.0     NaN     NaN   \n",
       "\\O\\\" Is for Outlaw\"                                    NaN     NaN     NaN   \n",
       "\n",
       "User-ID                                             274301  274308  275970  \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   NaN     NaN     0.0   \n",
       "1st to Die: A Novel                                    NaN     NaN     NaN   \n",
       "2nd Chance                                             NaN     0.0     NaN   \n",
       "4 Blondes                                              NaN     NaN     NaN   \n",
       "A Bend in the Road                                     NaN     NaN     NaN   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        NaN     NaN     0.0   \n",
       "You Belong To Me                                       NaN     NaN     NaN   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     NaN     NaN     0.0   \n",
       "Zoya                                                   NaN     NaN     NaN   \n",
       "\\O\\\" Is for Outlaw\"                                    8.0     NaN     NaN   \n",
       "\n",
       "User-ID                                             277427  277639  278418  \n",
       "Book-Title                                                                  \n",
       "1984                                                   NaN     NaN     NaN  \n",
       "1st to Die: A Novel                                    NaN     NaN     NaN  \n",
       "2nd Chance                                             NaN     0.0     NaN  \n",
       "4 Blondes                                              NaN     NaN     NaN  \n",
       "A Bend in the Road                                     NaN     NaN     NaN  \n",
       "...                                                    ...     ...     ...  \n",
       "Year of Wonders                                        NaN     NaN     NaN  \n",
       "You Belong To Me                                       NaN     NaN     NaN  \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     NaN     NaN     NaN  \n",
       "Zoya                                                   NaN     NaN     NaN  \n",
       "\\O\\\" Is for Outlaw\"                                    NaN     NaN     NaN  \n",
       "\n",
       "[706 rows x 810 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivot_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "#filling missing values in the pivot_table with zeros\n",
    "pivot_table.fillna(0, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "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>User-ID</th>\n",
       "      <th>254</th>\n",
       "      <th>2276</th>\n",
       "      <th>2766</th>\n",
       "      <th>2977</th>\n",
       "      <th>3363</th>\n",
       "      <th>4017</th>\n",
       "      <th>4385</th>\n",
       "      <th>6251</th>\n",
       "      <th>6323</th>\n",
       "      <th>6543</th>\n",
       "      <th>...</th>\n",
       "      <th>271705</th>\n",
       "      <th>273979</th>\n",
       "      <th>274004</th>\n",
       "      <th>274061</th>\n",
       "      <th>274301</th>\n",
       "      <th>274308</th>\n",
       "      <th>275970</th>\n",
       "      <th>277427</th>\n",
       "      <th>277639</th>\n",
       "      <th>278418</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Book-Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></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>1984</th>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1st to Die: A Novel</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2nd Chance</th>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4 Blondes</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Bend in the Road</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year of Wonders</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Belong To Me</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zen and the Art of Motorcycle Maintenance: An Inquiry into Values</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zoya</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>\\O\\\" Is for Outlaw\"</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>706 rows × 810 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "User-ID                                             254     2276    2766    \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   9.0     0.0     0.0   \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
       "2nd Chance                                             0.0    10.0     0.0   \n",
       "4 Blondes                                              0.0     0.0     0.0   \n",
       "A Bend in the Road                                     0.0     0.0     7.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        0.0     0.0     0.0   \n",
       "You Belong To Me                                       0.0     0.0     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0   \n",
       "Zoya                                                   0.0     0.0     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
       "\n",
       "User-ID                                             2977    3363    4017    \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   0.0     0.0     0.0   \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
       "2nd Chance                                             0.0     0.0     0.0   \n",
       "4 Blondes                                              0.0     0.0     0.0   \n",
       "A Bend in the Road                                     0.0     0.0     0.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        7.0     0.0     0.0   \n",
       "You Belong To Me                                       0.0     0.0     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0   \n",
       "Zoya                                                   0.0     0.0     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
       "\n",
       "User-ID                                             4385    6251    6323    \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   0.0     0.0     0.0   \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
       "2nd Chance                                             0.0     0.0     0.0   \n",
       "4 Blondes                                              0.0     0.0     0.0   \n",
       "A Bend in the Road                                     0.0     0.0     0.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        0.0     0.0     0.0   \n",
       "You Belong To Me                                       0.0     0.0     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0   \n",
       "Zoya                                                   0.0     0.0     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
       "\n",
       "User-ID                                             6543    ...  271705  \\\n",
       "Book-Title                                                  ...           \n",
       "1984                                                   0.0  ...    10.0   \n",
       "1st to Die: A Novel                                    9.0  ...     0.0   \n",
       "2nd Chance                                             0.0  ...     0.0   \n",
       "4 Blondes                                              0.0  ...     0.0   \n",
       "A Bend in the Road                                     0.0  ...     0.0   \n",
       "...                                                    ...  ...     ...   \n",
       "Year of Wonders                                        0.0  ...     0.0   \n",
       "You Belong To Me                                       0.0  ...     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0  ...     0.0   \n",
       "Zoya                                                   0.0  ...     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    0.0  ...     0.0   \n",
       "\n",
       "User-ID                                             273979  274004  274061  \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   0.0     0.0     0.0   \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
       "2nd Chance                                             0.0     0.0     0.0   \n",
       "4 Blondes                                              0.0     0.0     0.0   \n",
       "A Bend in the Road                                     0.0     0.0     0.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        9.0     0.0     0.0   \n",
       "You Belong To Me                                       0.0     0.0     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0   \n",
       "Zoya                                                   0.0     0.0     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
       "\n",
       "User-ID                                             274301  274308  275970  \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   0.0     0.0     0.0   \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
       "2nd Chance                                             0.0     0.0     0.0   \n",
       "4 Blondes                                              0.0     0.0     0.0   \n",
       "A Bend in the Road                                     0.0     0.0     0.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        0.0     0.0     0.0   \n",
       "You Belong To Me                                       0.0     0.0     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0   \n",
       "Zoya                                                   0.0     0.0     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    8.0     0.0     0.0   \n",
       "\n",
       "User-ID                                             277427  277639  278418  \n",
       "Book-Title                                                                  \n",
       "1984                                                   0.0     0.0     0.0  \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0  \n",
       "2nd Chance                                             0.0     0.0     0.0  \n",
       "4 Blondes                                              0.0     0.0     0.0  \n",
       "A Bend in the Road                                     0.0     0.0     0.0  \n",
       "...                                                    ...     ...     ...  \n",
       "Year of Wonders                                        0.0     0.0     0.0  \n",
       "You Belong To Me                                       0.0     0.0     0.0  \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0  \n",
       "Zoya                                                   0.0     0.0     0.0  \n",
       "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0  \n",
       "\n",
       "[706 rows x 810 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivot_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "#calculate cosine similarity scores for the pivot_table\n",
    "similarity_scores = cosine_similarity(pivot_table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.        , 0.10255025, 0.01220856, ..., 0.12110367, 0.07347567,\n",
       "        0.04316046],\n",
       "       [0.10255025, 1.        , 0.2364573 , ..., 0.07446129, 0.16773875,\n",
       "        0.14263397],\n",
       "       [0.01220856, 0.2364573 , 1.        , ..., 0.04558758, 0.04938579,\n",
       "        0.10796119],\n",
       "       ...,\n",
       "       [0.12110367, 0.07446129, 0.04558758, ..., 1.        , 0.07085128,\n",
       "        0.0196177 ],\n",
       "       [0.07347567, 0.16773875, 0.04938579, ..., 0.07085128, 1.        ,\n",
       "        0.10602962],\n",
       "       [0.04316046, 0.14263397, 0.10796119, ..., 0.0196177 , 0.10602962,\n",
       "        1.        ]])"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similarity_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(706, 706)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similarity_scores.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "702"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Find the index of the book \"You Belong To Me\" in the pivot_table DataFrame\n",
    "np.where(pivot_table.index == \"You Belong To Me\")[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(47, 0.2702651417103732),\n",
       " (545, 0.2639619371123496),\n",
       " (82, 0.2366937434740099),\n",
       " (634, 0.23299389358170397)]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sorting the similarity scores in descending order and extracting the top 4 (excluding the first one)\n",
    "sorted(list(enumerate(similarity_scores[0])),key = lambda x:x[1],reverse = True)[1:5]\n",
    "\n",
    "# The result is a list of tuples, where each tuple contains the book index and its similarity score\n",
    "# to the first book in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "def recommend_books(book_name):\n",
    "    \n",
    "    #fetch index\n",
    "    index = np.where(pivot_table.index == book_name)[0][0]\n",
    "    \n",
    "    similar_items = sorted(list(enumerate(similarity_scores[index])),key = lambda x:x[1],reverse=True)[1:10]\n",
    "    \n",
    "    data = []\n",
    "    for i in similar_items:\n",
    "        \n",
    "        item = []\n",
    "        temp_df = books[books[\"Book-Title\"] == pivot_table.index[i[0]]]\n",
    "        item.extend(list(temp_df.drop_duplicates(\"Book-Title\")[\"Book-Title\"].values))\n",
    "        item.extend(list(temp_df.drop_duplicates(\"Book-Title\")[\"Book-Author\"].values))\n",
    "        #item.extend(list(temp_df.drop_duplicates(\"Book-Title\")[\"Year-Of-Publication\"].values))\n",
    "        item.extend(list(temp_df.drop_duplicates(\"Book-Title\")[\"Image-URL-M\"].values))\n",
    "        \n",
    "        data.append(item)\n",
    "    \n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['The Two Towers (The Lord of the Rings, Part 2)',\n",
       "  'J.R.R. TOLKIEN',\n",
       "  'http://images.amazon.com/images/P/0345339711.01.MZZZZZZZ.jpg'],\n",
       " ['The Fellowship of the Ring (The Lord of the Rings, Part 1)',\n",
       "  'J.R.R. TOLKIEN',\n",
       "  'http://images.amazon.com/images/P/0345339703.01.MZZZZZZZ.jpg'],\n",
       " ['Where the Red Fern Grows',\n",
       "  'Wilson Rawls',\n",
       "  'http://images.amazon.com/images/P/0553274295.01.MZZZZZZZ.jpg'],\n",
       " ['One for the Money (A Stephanie Plum Novel)',\n",
       "  'Janet Evanovich',\n",
       "  'http://images.amazon.com/images/P/0312990456.01.MZZZZZZZ.jpg'],\n",
       " ['The Return of the King (The Lord of the Rings, Part 3)',\n",
       "  'J.R.R. TOLKIEN',\n",
       "  'http://images.amazon.com/images/P/0345339738.01.MZZZZZZZ.jpg'],\n",
       " ['The English Patient',\n",
       "  'Michael Ondaatje',\n",
       "  'http://images.amazon.com/images/P/0679745203.01.MZZZZZZZ.jpg'],\n",
       " ['The Cider House Rules',\n",
       "  'John Irving',\n",
       "  'http://images.amazon.com/images/P/0553258001.01.MZZZZZZZ.jpg'],\n",
       " ['Morality for Beautiful Girls (No.1 Ladies Detective Agency)',\n",
       "  'Alexander McCall Smith',\n",
       "  'http://images.amazon.com/images/P/1400031362.01.MZZZZZZZ.jpg'],\n",
       " ['Gorky Park',\n",
       "  'Martin Cruz Smith',\n",
       "  'http://images.amazon.com/images/P/0345298349.01.MZZZZZZZ.jpg']]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recommend_books(\"The Hobbit : The Enchanting Prelude to The Lord of the Rings\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "pickle.dump(popular_df,open(\"popular.pkl\",\"wb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "pickle.dump(pivot_table,open(\"pt.pkl\",\"wb\"))\n",
    "pickle.dump(books,open(\"books.pkl\",\"wb\"))\n",
    "pickle.dump(similarity_scores,open(\"similarity_scores.pkl\",\"wb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "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>ISBN</th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>Book-Author</th>\n",
       "      <th>Year-Of-Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Image-URL-S</th>\n",
       "      <th>Image-URL-M</th>\n",
       "      <th>Image-URL-L</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Classical Mythology</td>\n",
       "      <td>Mark P. O. Morford</td>\n",
       "      <td>2002</td>\n",
       "      <td>Oxford University Press</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002005018</td>\n",
       "      <td>Clara Callan</td>\n",
       "      <td>Richard Bruce Wright</td>\n",
       "      <td>2001</td>\n",
       "      <td>HarperFlamingo Canada</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0060973129</td>\n",
       "      <td>Decision in Normandy</td>\n",
       "      <td>Carlo D'Este</td>\n",
       "      <td>1991</td>\n",
       "      <td>HarperPerennial</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0374157065</td>\n",
       "      <td>Flu: The Story of the Great Influenza Pandemic...</td>\n",
       "      <td>Gina Bari Kolata</td>\n",
       "      <td>1999</td>\n",
       "      <td>Farrar Straus Giroux</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0393045218</td>\n",
       "      <td>The Mummies of Urumchi</td>\n",
       "      <td>E. J. W. Barber</td>\n",
       "      <td>1999</td>\n",
       "      <td>W. W. Norton &amp;amp; Company</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271354</th>\n",
       "      <td>0449906736</td>\n",
       "      <td>Flashpoints: Promise and Peril in a New World</td>\n",
       "      <td>Robin Wright</td>\n",
       "      <td>1993</td>\n",
       "      <td>Ballantine Books</td>\n",
       "      <td>http://images.amazon.com/images/P/0449906736.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0449906736.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0449906736.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271356</th>\n",
       "      <td>0525447644</td>\n",
       "      <td>From One to One Hundred</td>\n",
       "      <td>Teri Sloat</td>\n",
       "      <td>1991</td>\n",
       "      <td>Dutton Books</td>\n",
       "      <td>http://images.amazon.com/images/P/0525447644.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0525447644.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0525447644.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271357</th>\n",
       "      <td>006008667X</td>\n",
       "      <td>Lily Dale : The True Story of the Town that Ta...</td>\n",
       "      <td>Christine Wicker</td>\n",
       "      <td>2004</td>\n",
       "      <td>HarperSanFrancisco</td>\n",
       "      <td>http://images.amazon.com/images/P/006008667X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/006008667X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/006008667X.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271358</th>\n",
       "      <td>0192126040</td>\n",
       "      <td>Republic (World's Classics)</td>\n",
       "      <td>Plato</td>\n",
       "      <td>1996</td>\n",
       "      <td>Oxford University Press</td>\n",
       "      <td>http://images.amazon.com/images/P/0192126040.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0192126040.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0192126040.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271359</th>\n",
       "      <td>0767409752</td>\n",
       "      <td>A Guided Tour of Rene Descartes' Meditations o...</td>\n",
       "      <td>Christopher  Biffle</td>\n",
       "      <td>2000</td>\n",
       "      <td>McGraw-Hill Humanities/Social Sciences/Languages</td>\n",
       "      <td>http://images.amazon.com/images/P/0767409752.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0767409752.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0767409752.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>242130 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ISBN                                         Book-Title  \\\n",
       "0       0195153448                                Classical Mythology   \n",
       "1       0002005018                                       Clara Callan   \n",
       "2       0060973129                               Decision in Normandy   \n",
       "3       0374157065  Flu: The Story of the Great Influenza Pandemic...   \n",
       "4       0393045218                             The Mummies of Urumchi   \n",
       "...            ...                                                ...   \n",
       "271354  0449906736      Flashpoints: Promise and Peril in a New World   \n",
       "271356  0525447644                            From One to One Hundred   \n",
       "271357  006008667X  Lily Dale : The True Story of the Town that Ta...   \n",
       "271358  0192126040                        Republic (World's Classics)   \n",
       "271359  0767409752  A Guided Tour of Rene Descartes' Meditations o...   \n",
       "\n",
       "                 Book-Author  Year-Of-Publication  \\\n",
       "0         Mark P. O. Morford                 2002   \n",
       "1       Richard Bruce Wright                 2001   \n",
       "2               Carlo D'Este                 1991   \n",
       "3           Gina Bari Kolata                 1999   \n",
       "4            E. J. W. Barber                 1999   \n",
       "...                      ...                  ...   \n",
       "271354          Robin Wright                 1993   \n",
       "271356            Teri Sloat                 1991   \n",
       "271357      Christine Wicker                 2004   \n",
       "271358                 Plato                 1996   \n",
       "271359   Christopher  Biffle                 2000   \n",
       "\n",
       "                                               Publisher  \\\n",
       "0                                Oxford University Press   \n",
       "1                                  HarperFlamingo Canada   \n",
       "2                                        HarperPerennial   \n",
       "3                                   Farrar Straus Giroux   \n",
       "4                             W. W. Norton &amp; Company   \n",
       "...                                                  ...   \n",
       "271354                                  Ballantine Books   \n",
       "271356                                      Dutton Books   \n",
       "271357                                HarperSanFrancisco   \n",
       "271358                           Oxford University Press   \n",
       "271359  McGraw-Hill Humanities/Social Sciences/Languages   \n",
       "\n",
       "                                              Image-URL-S  \\\n",
       "0       http://images.amazon.com/images/P/0195153448.0...   \n",
       "1       http://images.amazon.com/images/P/0002005018.0...   \n",
       "2       http://images.amazon.com/images/P/0060973129.0...   \n",
       "3       http://images.amazon.com/images/P/0374157065.0...   \n",
       "4       http://images.amazon.com/images/P/0393045218.0...   \n",
       "...                                                   ...   \n",
       "271354  http://images.amazon.com/images/P/0449906736.0...   \n",
       "271356  http://images.amazon.com/images/P/0525447644.0...   \n",
       "271357  http://images.amazon.com/images/P/006008667X.0...   \n",
       "271358  http://images.amazon.com/images/P/0192126040.0...   \n",
       "271359  http://images.amazon.com/images/P/0767409752.0...   \n",
       "\n",
       "                                              Image-URL-M  \\\n",
       "0       http://images.amazon.com/images/P/0195153448.0...   \n",
       "1       http://images.amazon.com/images/P/0002005018.0...   \n",
       "2       http://images.amazon.com/images/P/0060973129.0...   \n",
       "3       http://images.amazon.com/images/P/0374157065.0...   \n",
       "4       http://images.amazon.com/images/P/0393045218.0...   \n",
       "...                                                   ...   \n",
       "271354  http://images.amazon.com/images/P/0449906736.0...   \n",
       "271356  http://images.amazon.com/images/P/0525447644.0...   \n",
       "271357  http://images.amazon.com/images/P/006008667X.0...   \n",
       "271358  http://images.amazon.com/images/P/0192126040.0...   \n",
       "271359  http://images.amazon.com/images/P/0767409752.0...   \n",
       "\n",
       "                                              Image-URL-L  \n",
       "0       http://images.amazon.com/images/P/0195153448.0...  \n",
       "1       http://images.amazon.com/images/P/0002005018.0...  \n",
       "2       http://images.amazon.com/images/P/0060973129.0...  \n",
       "3       http://images.amazon.com/images/P/0374157065.0...  \n",
       "4       http://images.amazon.com/images/P/0393045218.0...  \n",
       "...                                                   ...  \n",
       "271354  http://images.amazon.com/images/P/0449906736.0...  \n",
       "271356  http://images.amazon.com/images/P/0525447644.0...  \n",
       "271357  http://images.amazon.com/images/P/006008667X.0...  \n",
       "271358  http://images.amazon.com/images/P/0192126040.0...  \n",
       "271359  http://images.amazon.com/images/P/0767409752.0...  \n",
       "\n",
       "[242130 rows x 8 columns]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.drop_duplicates(\"Book-Title\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}