Avito Challenge.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Avito Challenge"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "from sklearn.decomposition import TruncatedSVD\n",
    "from sklearn import preprocessing, model_selection, metrics\n",
    "import lightgbm as lgb\n",
    "\n",
    "color = sns.color_palette()\n",
    "%matplotlib inline\n",
    "\n",
    "import plotly.offline as py\n",
    "py.init_notebook_mode(connected=True)\n",
    "import plotly.graph_objs as go\n",
    "import plotly.tools as tls\n",
    "\n",
    "pd.options.mode.chained_assignment = None\n",
    "pd.options.display.max_columns = 999"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train file rows and columns are :  (1503424, 18)\n",
      "Test file rows and columns are :  (508438, 17)\n"
     ]
    }
   ],
   "source": [
    "train_df = pd.read_csv(\"E:/_Gen/Avito Competition/train.csv\", parse_dates=[\"activation_date\"])\n",
    "test_df = pd.read_csv(\"E:/_Gen/Avito Competition/test.csv\", parse_dates=[\"activation_date\"])\n",
    "print(\"Train file rows and columns are : \", train_df.shape)\n",
    "print(\"Test file rows and columns are : \", test_df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_id</th>\n",
       "      <th>user_id</th>\n",
       "      <th>region</th>\n",
       "      <th>city</th>\n",
       "      <th>parent_category_name</th>\n",
       "      <th>category_name</th>\n",
       "      <th>param_1</th>\n",
       "      <th>param_2</th>\n",
       "      <th>param_3</th>\n",
       "      <th>title</th>\n",
       "      <th>description</th>\n",
       "      <th>price</th>\n",
       "      <th>item_seq_number</th>\n",
       "      <th>activation_date</th>\n",
       "      <th>user_type</th>\n",
       "      <th>image</th>\n",
       "      <th>image_top_1</th>\n",
       "      <th>deal_probability</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>b912c3c6a6ad</td>\n",
       "      <td>e00f8ff2eaf9</td>\n",
       "      <td>Свердловская область</td>\n",
       "      <td>Екатеринбург</td>\n",
       "      <td>Личные вещи</td>\n",
       "      <td>Товары для детей и игрушки</td>\n",
       "      <td>Постельные принадлежности</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Кокоби(кокон для сна)</td>\n",
       "      <td>Кокон для сна малыша,пользовались меньше месяц...</td>\n",
       "      <td>400.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-03-28</td>\n",
       "      <td>Private</td>\n",
       "      <td>d10c7e016e03247a3bf2d13348fe959fe6f436c1caf64c...</td>\n",
       "      <td>1008.0</td>\n",
       "      <td>0.12789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2dac0150717d</td>\n",
       "      <td>39aeb48f0017</td>\n",
       "      <td>Самарская область</td>\n",
       "      <td>Самара</td>\n",
       "      <td>Для дома и дачи</td>\n",
       "      <td>Мебель и интерьер</td>\n",
       "      <td>Другое</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Стойка для Одежды</td>\n",
       "      <td>Стойка для одежды, под вешалки. С бутика.</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>19</td>\n",
       "      <td>2017-03-26</td>\n",
       "      <td>Private</td>\n",
       "      <td>79c9392cc51a9c81c6eb91eceb8e552171db39d7142700...</td>\n",
       "      <td>692.0</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ba83aefab5dc</td>\n",
       "      <td>91e2f88dd6e3</td>\n",
       "      <td>Ростовская область</td>\n",
       "      <td>Ростов-на-Дону</td>\n",
       "      <td>Бытовая электроника</td>\n",
       "      <td>Аудио и видео</td>\n",
       "      <td>Видео, DVD и Blu-ray плееры</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Philips bluray</td>\n",
       "      <td>В хорошем состоянии, домашний кинотеатр с blu ...</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>9</td>\n",
       "      <td>2017-03-20</td>\n",
       "      <td>Private</td>\n",
       "      <td>b7f250ee3f39e1fedd77c141f273703f4a9be59db4b48a...</td>\n",
       "      <td>3032.0</td>\n",
       "      <td>0.43177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>02996f1dd2ea</td>\n",
       "      <td>bf5cccea572d</td>\n",
       "      <td>Татарстан</td>\n",
       "      <td>Набережные Челны</td>\n",
       "      <td>Личные вещи</td>\n",
       "      <td>Товары для детей и игрушки</td>\n",
       "      <td>Автомобильные кресла</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Автокресло</td>\n",
       "      <td>Продам кресло от0-25кг</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>286</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>Company</td>\n",
       "      <td>e6ef97e0725637ea84e3d203e82dadb43ed3cc0a1c8413...</td>\n",
       "      <td>796.0</td>\n",
       "      <td>0.80323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7c90be56d2ab</td>\n",
       "      <td>ef50846afc0b</td>\n",
       "      <td>Волгоградская область</td>\n",
       "      <td>Волгоград</td>\n",
       "      <td>Транспорт</td>\n",
       "      <td>Автомобили</td>\n",
       "      <td>С пробегом</td>\n",
       "      <td>ВАЗ (LADA)</td>\n",
       "      <td>2110</td>\n",
       "      <td>ВАЗ 2110, 2003</td>\n",
       "      <td>Все вопросы по телефону.</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-03-16</td>\n",
       "      <td>Private</td>\n",
       "      <td>54a687a3a0fc1d68aed99bdaaf551c5c70b761b16fd0a2...</td>\n",
       "      <td>2264.0</td>\n",
       "      <td>0.20797</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        item_id       user_id                 region              city  \\\n",
       "0  b912c3c6a6ad  e00f8ff2eaf9   Свердловская область      Екатеринбург   \n",
       "1  2dac0150717d  39aeb48f0017      Самарская область            Самара   \n",
       "2  ba83aefab5dc  91e2f88dd6e3     Ростовская область    Ростов-на-Дону   \n",
       "3  02996f1dd2ea  bf5cccea572d              Татарстан  Набережные Челны   \n",
       "4  7c90be56d2ab  ef50846afc0b  Волгоградская область         Волгоград   \n",
       "\n",
       "  parent_category_name               category_name  \\\n",
       "0          Личные вещи  Товары для детей и игрушки   \n",
       "1      Для дома и дачи           Мебель и интерьер   \n",
       "2  Бытовая электроника               Аудио и видео   \n",
       "3          Личные вещи  Товары для детей и игрушки   \n",
       "4            Транспорт                  Автомобили   \n",
       "\n",
       "                       param_1     param_2 param_3                  title  \\\n",
       "0    Постельные принадлежности         NaN     NaN  Кокоби(кокон для сна)   \n",
       "1                       Другое         NaN     NaN      Стойка для Одежды   \n",
       "2  Видео, DVD и Blu-ray плееры         NaN     NaN         Philips bluray   \n",
       "3         Автомобильные кресла         NaN     NaN             Автокресло   \n",
       "4                   С пробегом  ВАЗ (LADA)    2110         ВАЗ 2110, 2003   \n",
       "\n",
       "                                         description    price  \\\n",
       "0  Кокон для сна малыша,пользовались меньше месяц...    400.0   \n",
       "1          Стойка для одежды, под вешалки. С бутика.   3000.0   \n",
       "2  В хорошем состоянии, домашний кинотеатр с blu ...   4000.0   \n",
       "3                             Продам кресло от0-25кг   2200.0   \n",
       "4                           Все вопросы по телефону.  40000.0   \n",
       "\n",
       "   item_seq_number activation_date user_type  \\\n",
       "0                2      2017-03-28   Private   \n",
       "1               19      2017-03-26   Private   \n",
       "2                9      2017-03-20   Private   \n",
       "3              286      2017-03-25   Company   \n",
       "4                3      2017-03-16   Private   \n",
       "\n",
       "                                               image  image_top_1  \\\n",
       "0  d10c7e016e03247a3bf2d13348fe959fe6f436c1caf64c...       1008.0   \n",
       "1  79c9392cc51a9c81c6eb91eceb8e552171db39d7142700...        692.0   \n",
       "2  b7f250ee3f39e1fedd77c141f273703f4a9be59db4b48a...       3032.0   \n",
       "3  e6ef97e0725637ea84e3d203e82dadb43ed3cc0a1c8413...        796.0   \n",
       "4  54a687a3a0fc1d68aed99bdaaf551c5c70b761b16fd0a2...       2264.0   \n",
       "\n",
       "   deal_probability  \n",
       "0           0.12789  \n",
       "1           0.00000  \n",
       "2           0.43177  \n",
       "3           0.80323  \n",
       "4           0.20797  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>user_id</th>\n",
       "      <th>region</th>\n",
       "      <th>city</th>\n",
       "      <th>parent_category_name</th>\n",
       "      <th>category_name</th>\n",
       "      <th>param_1</th>\n",
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       "      <th>param_3</th>\n",
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       "      <th>description</th>\n",
       "      <th>price</th>\n",
       "      <th>item_seq_number</th>\n",
       "      <th>activation_date</th>\n",
       "      <th>user_type</th>\n",
       "      <th>image</th>\n",
       "      <th>image_top_1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6544e41a8817</td>\n",
       "      <td>dbe73ad6e4b5</td>\n",
       "      <td>Волгоградская область</td>\n",
       "      <td>Волгоград</td>\n",
       "      <td>Личные вещи</td>\n",
       "      <td>Детская одежда и обувь</td>\n",
       "      <td>Для мальчиков</td>\n",
       "      <td>Обувь</td>\n",
       "      <td>25</td>\n",
       "      <td>Отдам бесплатно</td>\n",
       "      <td>На ангарском</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66</td>\n",
       "      <td>2017-04-18</td>\n",
       "      <td>Private</td>\n",
       "      <td>a8b57acb5ab304f9c331ac7a074219aed4d349d8aef386...</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>65b9484d670f</td>\n",
       "      <td>2e11806abe57</td>\n",
       "      <td>Свердловская область</td>\n",
       "      <td>Нижняя Тура</td>\n",
       "      <td>Хобби и отдых</td>\n",
       "      <td>Велосипеды</td>\n",
       "      <td>Дорожные</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Продам велосипед</td>\n",
       "      <td>Продам велосипед KAMA  F200,в нормальном состо...</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2017-04-16</td>\n",
       "      <td>Private</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8bab230b2ecd</td>\n",
       "      <td>0b850bbebb10</td>\n",
       "      <td>Новосибирская область</td>\n",
       "      <td>Бердск</td>\n",
       "      <td>Бытовая электроника</td>\n",
       "      <td>Аудио и видео</td>\n",
       "      <td>Телевизоры и проекторы</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BBK</td>\n",
       "      <td>Продам новый телевизор BBK  32 диагональ смарт...</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>15</td>\n",
       "      <td>2017-04-17</td>\n",
       "      <td>Private</td>\n",
       "      <td>8c361112cb049745ef2d1b0ae73594fc5c107286b0c942...</td>\n",
       "      <td>2960.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8e348601fefc</td>\n",
       "      <td>5f1d5c3ce0da</td>\n",
       "      <td>Саратовская область</td>\n",
       "      <td>Саратов</td>\n",
       "      <td>Для дома и дачи</td>\n",
       "      <td>Бытовая техника</td>\n",
       "      <td>Для кухни</td>\n",
       "      <td>Вытяжки</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Вытяжка Jetair 60</td>\n",
       "      <td>Продам новую вытяжку в упаковке,с документами....</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>70</td>\n",
       "      <td>2017-04-17</td>\n",
       "      <td>Private</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8bd2fe400b89</td>\n",
       "      <td>23e2d97bfc7f</td>\n",
       "      <td>Оренбургская область</td>\n",
       "      <td>Бузулук</td>\n",
       "      <td>Личные вещи</td>\n",
       "      <td>Товары для детей и игрушки</td>\n",
       "      <td>Детские коляски</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Коляска зима-лето</td>\n",
       "      <td>Продам отличную коляску. б/у 1 год. все вопрос...</td>\n",
       "      <td>4900.0</td>\n",
       "      <td>15</td>\n",
       "      <td>2017-04-15</td>\n",
       "      <td>Private</td>\n",
       "      <td>bc3cf6deef10840fc302e38eb48fa7748aa1e28d534f8f...</td>\n",
       "      <td>1002.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        item_id       user_id                 region         city  \\\n",
       "0  6544e41a8817  dbe73ad6e4b5  Волгоградская область    Волгоград   \n",
       "1  65b9484d670f  2e11806abe57   Свердловская область  Нижняя Тура   \n",
       "2  8bab230b2ecd  0b850bbebb10  Новосибирская область       Бердск   \n",
       "3  8e348601fefc  5f1d5c3ce0da    Саратовская область      Саратов   \n",
       "4  8bd2fe400b89  23e2d97bfc7f   Оренбургская область      Бузулук   \n",
       "\n",
       "  parent_category_name               category_name                 param_1  \\\n",
       "0          Личные вещи      Детская одежда и обувь           Для мальчиков   \n",
       "1        Хобби и отдых                  Велосипеды                Дорожные   \n",
       "2  Бытовая электроника               Аудио и видео  Телевизоры и проекторы   \n",
       "3      Для дома и дачи             Бытовая техника               Для кухни   \n",
       "4          Личные вещи  Товары для детей и игрушки         Детские коляски   \n",
       "\n",
       "   param_2 param_3              title  \\\n",
       "0    Обувь      25    Отдам бесплатно   \n",
       "1      NaN     NaN   Продам велосипед   \n",
       "2      NaN     NaN                BBK   \n",
       "3  Вытяжки     NaN  Вытяжка Jetair 60   \n",
       "4      NaN     NaN  Коляска зима-лето   \n",
       "\n",
       "                                         description    price  \\\n",
       "0                                       На ангарском      NaN   \n",
       "1  Продам велосипед KAMA  F200,в нормальном состо...   3000.0   \n",
       "2  Продам новый телевизор BBK  32 диагональ смарт...  15000.0   \n",
       "3  Продам новую вытяжку в упаковке,с документами....   4500.0   \n",
       "4  Продам отличную коляску. б/у 1 год. все вопрос...   4900.0   \n",
       "\n",
       "   item_seq_number activation_date user_type  \\\n",
       "0               66      2017-04-18   Private   \n",
       "1                4      2017-04-16   Private   \n",
       "2               15      2017-04-17   Private   \n",
       "3               70      2017-04-17   Private   \n",
       "4               15      2017-04-15   Private   \n",
       "\n",
       "                                               image  image_top_1  \n",
       "0  a8b57acb5ab304f9c331ac7a074219aed4d349d8aef386...       2020.0  \n",
       "1                                                NaN          NaN  \n",
       "2  8c361112cb049745ef2d1b0ae73594fc5c107286b0c942...       2960.0  \n",
       "3                                                NaN          NaN  \n",
       "4  bc3cf6deef10840fc302e38eb48fa7748aa1e28d534f8f...       1002.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.distplot(train_df[\"deal_probability\"].values, bins=100, kde=False)\n",
    "plt.xlabel('Deal Probility', fontsize=12)\n",
    "plt.title(\"Deal Probability Histogram\", fontsize=14)\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(8,6))\n",
    "plt.scatter(range(train_df.shape[0]), np.sort(train_df['deal_probability'].values))\n",
    "plt.xlabel('index', fontsize=12)\n",
    "plt.ylabel('deal probability', fontsize=12)\n",
    "plt.title(\"Deal Probability Distribution\", fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from io import StringIO\n",
    "\n",
    "temp_data = StringIO(\"\"\"\n",
    "region,region_en\n",
    "Свердловская область, Sverdlovsk oblast\n",
    "Самарская область, Samara oblast\n",
    "Ростовская область, Rostov oblast\n",
    "Татарстан, Tatarstan\n",
    "Волгоградская область, Volgograd oblast\n",
    "Нижегородская область, Nizhny Novgorod oblast\n",
    "Пермский край, Perm Krai\n",
    "Оренбургская область, Orenburg oblast\n",
    "Ханты-Мансийский АО, Khanty-Mansi Autonomous Okrug\n",
    "Тюменская область, Tyumen oblast\n",
    "Башкортостан, Bashkortostan\n",
    "Краснодарский край, Krasnodar Krai\n",
    "Новосибирская область, Novosibirsk oblast\n",
    "Омская область, Omsk oblast\n",
    "Белгородская область, Belgorod oblast\n",
    "Челябинская область, Chelyabinsk oblast\n",
    "Воронежская область, Voronezh oblast\n",
    "Кемеровская область, Kemerovo oblast\n",
    "Саратовская область, Saratov oblast\n",
    "Владимирская область, Vladimir oblast\n",
    "Калининградская область, Kaliningrad oblast\n",
    "Красноярский край, Krasnoyarsk Krai\n",
    "Ярославская область, Yaroslavl oblast\n",
    "Удмуртия, Udmurtia\n",
    "Алтайский край, Altai Krai\n",
    "Иркутская область, Irkutsk oblast\n",
    "Ставропольский край, Stavropol Krai\n",
    "Тульская область, Tula oblast\n",
    "\"\"\")\n",
    "\n",
    "region_df = pd.read_csv(temp_data)\n",
    "train_df = pd.merge(train_df, region_df, how=\"left\", on=\"region\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
         "labels": [
          " Krasnodar Krai",
          " Sverdlovsk oblast",
          " Rostov oblast",
          " Tatarstan",
          " Chelyabinsk oblast",
          " Nizhny Novgorod oblast",
          " Samara oblast",
          " Bashkortostan",
          " Perm Krai",
          " Novosibirsk oblast",
          " Krasnoyarsk Krai",
          " Saratov oblast",
          " Volgograd oblast",
          " Kemerovo oblast",
          " Voronezh oblast",
          " Irkutsk oblast",
          " Omsk oblast",
          " Altai Krai",
          " Stavropol Krai",
          " Tyumen oblast",
          " Yaroslavl oblast",
          " Kaliningrad oblast",
          " Orenburg oblast",
          " Belgorod oblast",
          " Khanty-Mansi Autonomous Okrug",
          " Udmurtia",
          " Vladimir oblast",
          " Tula oblast"
         ],
         "type": "pie",
         "values": [
          9.406261972670386,
          6.283989080924609,
          5.9860026180239245,
          5.4065918862543105,
          5.21070569579839,
          4.898352028436422,
          4.882654527265761,
          4.542364629006854,
          4.1707462432420925,
          4.156246009109872,
          3.5546858371291132,
          3.3021290068536886,
          3.2590939083053083,
          2.9688896811544847,
          2.9343684815461244,
          2.928648205695798,
          2.856080520199225,
          2.761695968668852,
          2.6065168575199014,
          2.3553568387893233,
          2.1826178110765824,
          2.178759950619386,
          1.9490842237452641,
          1.9201502703162912,
          1.9095744114767357,
          1.8981338597760844,
          1.7786732152739348,
          1.7116262611212807
         ]
        }
       ],
       "layout": {
        "height": 900,
        "title": "Region distribution",
        "width": 900
       }
      },
      "text/html": [
       "<div id=\"0ec0a9e4-73d3-4c14-9b8c-9d9de55eb0d9\" style=\"height: 900px; width: 900px;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"0ec0a9e4-73d3-4c14-9b8c-9d9de55eb0d9\", [{\"type\": \"pie\", \"labels\": [\" Krasnodar Krai\", \" Sverdlovsk oblast\", \" Rostov oblast\", \" Tatarstan\", \" Chelyabinsk oblast\", \" Nizhny Novgorod oblast\", \" Samara oblast\", \" Bashkortostan\", \" Perm Krai\", \" Novosibirsk oblast\", \" Krasnoyarsk Krai\", \" Saratov oblast\", \" Volgograd oblast\", \" Kemerovo oblast\", \" Voronezh oblast\", \" Irkutsk oblast\", \" Omsk oblast\", \" Altai Krai\", \" Stavropol Krai\", \" Tyumen oblast\", \" Yaroslavl oblast\", \" Kaliningrad oblast\", \" Orenburg oblast\", \" Belgorod oblast\", \" Khanty-Mansi Autonomous Okrug\", \" Udmurtia\", \" Vladimir oblast\", \" Tula oblast\"], \"values\": [9.406261972670386, 6.283989080924609, 5.9860026180239245, 5.4065918862543105, 5.21070569579839, 4.898352028436422, 4.882654527265761, 4.542364629006854, 4.1707462432420925, 4.156246009109872, 3.5546858371291132, 3.3021290068536886, 3.2590939083053083, 2.9688896811544847, 2.9343684815461244, 2.928648205695798, 2.856080520199225, 2.761695968668852, 2.6065168575199014, 2.3553568387893233, 2.1826178110765824, 2.178759950619386, 1.9490842237452641, 1.9201502703162912, 1.9095744114767357, 1.8981338597760844, 1.7786732152739348, 1.7116262611212807]}], {\"title\": \"Region distribution\", \"width\": 900, \"height\": 900}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<div id=\"0ec0a9e4-73d3-4c14-9b8c-9d9de55eb0d9\" style=\"height: 900px; width: 900px;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"0ec0a9e4-73d3-4c14-9b8c-9d9de55eb0d9\", [{\"type\": \"pie\", \"labels\": [\" Krasnodar Krai\", \" Sverdlovsk oblast\", \" Rostov oblast\", \" Tatarstan\", \" Chelyabinsk oblast\", \" Nizhny Novgorod oblast\", \" Samara oblast\", \" Bashkortostan\", \" Perm Krai\", \" Novosibirsk oblast\", \" Krasnoyarsk Krai\", \" Saratov oblast\", \" Volgograd oblast\", \" Kemerovo oblast\", \" Voronezh oblast\", \" Irkutsk oblast\", \" Omsk oblast\", \" Altai Krai\", \" Stavropol Krai\", \" Tyumen oblast\", \" Yaroslavl oblast\", \" Kaliningrad oblast\", \" Orenburg oblast\", \" Belgorod oblast\", \" Khanty-Mansi Autonomous Okrug\", \" Udmurtia\", \" Vladimir oblast\", \" Tula oblast\"], \"values\": [9.406261972670386, 6.283989080924609, 5.9860026180239245, 5.4065918862543105, 5.21070569579839, 4.898352028436422, 4.882654527265761, 4.542364629006854, 4.1707462432420925, 4.156246009109872, 3.5546858371291132, 3.3021290068536886, 3.2590939083053083, 2.9688896811544847, 2.9343684815461244, 2.928648205695798, 2.856080520199225, 2.761695968668852, 2.6065168575199014, 2.3553568387893233, 2.1826178110765824, 2.178759950619386, 1.9490842237452641, 1.9201502703162912, 1.9095744114767357, 1.8981338597760844, 1.7786732152739348, 1.7116262611212807]}], {\"title\": \"Region distribution\", \"width\": 900, \"height\": 900}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_series = train_df['region_en'].value_counts()\n",
    "labels = (np.array(temp_series.index))\n",
    "sizes = (np.array((temp_series / temp_series.sum())*100))\n",
    "\n",
    "trace = go.Pie(labels=labels, values=sizes)\n",
    "layout = go.Layout(\n",
    "    title='Region distribution',\n",
    "    width=900,\n",
    "    height=900,\n",
    ")\n",
    "data = [trace]\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "py.iplot(fig, filename=\"region\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TFIDF Vectorizer ###\n",
    "tfidf_vec = TfidfVectorizer(ngram_range=(1,1))\n",
    "full_tfidf = tfidf_vec.fit_transform(train_df['title'].values.tolist() + test_df['title'].values.tolist())\n",
    "train_tfidf = tfidf_vec.transform(train_df['title'].values.tolist())\n",
    "test_tfidf = tfidf_vec.transform(test_df['title'].values.tolist())\n",
    "\n",
    "### SVD Components ###\n",
    "n_comp = 3\n",
    "svd_obj = TruncatedSVD(n_components=n_comp, algorithm='arpack')\n",
    "svd_obj.fit(full_tfidf)\n",
    "train_svd = pd.DataFrame(svd_obj.transform(train_tfidf))\n",
    "test_svd = pd.DataFrame(svd_obj.transform(test_tfidf))\n",
    "train_svd.columns = ['svd_title_'+str(i+1) for i in range(n_comp)]\n",
    "test_svd.columns = ['svd_title_'+str(i+1) for i in range(n_comp)]\n",
    "train_df = pd.concat([train_df, train_svd], axis=1)\n",
    "test_df = pd.concat([test_df, test_svd], axis=1)\n",
    "del full_tfidf, train_tfidf, test_tfidf, train_svd, test_svd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n",
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 576x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n",
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 576x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n",
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 576x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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tPSjnBunjnifgV8gJKJ8u8tHTJf3IWrvX89q9EVa5WdKKXHepuLPUP2mt7dedL0RN9l/O++Qc3/mxobn9epf6HyNP2MLWJXfMY1sV1xlnv0XRKyeYdLnbENpNNSfs91XOcSRr7VfktFJ9Uk63vJlyWnJW+Bb9tqS5Jpd5UU4r3145LW5RlRrMODv339tD3h8j51zgHz+8Rs54zSme1/bLGW/s+lXuvw8FvOY/bn5krX3b8/e9cur+vtzfp0v6ubX2BXcB64yLfUz9j5sf+v7+hQq/4z+Q8zDlTc85/C05Xef93fBLlRXVKXJaQoP24+8ZY472vLbdWvucb50qc73l+qCcoO++gGvdtFLnI4I+AMCAYpzxNEfKyawnOZOcv0eHgjD33zI5Xf9kjDlczo3CWDlP9P+PnBuXLZL843OieCP3+RlyLvrjrbU/8C3zm36fcpJoBL3+GzlPnb1+G/L3sbn//r2c7kM3y+ne9j5Jy3Pv+bcpqKwhcvZd0v5D0nGSZuf2+8WSbivxmffIV0drbY+clrxi5kvaKKfr2kvGmM3GmA+W+Iwr6HsIU8v9d6ykt32Bi+TUt8U3Dqrbt4ybyCTuMR1nnXH2WxRv5gJMSZI9lIyl1DYE1aPc48hdtsta+6/W2o/K+V0/KGmxMeZIz2KrJTXL6QooOcfg/dbaPVHWkdMWUn/XkZL2eB8O+bjnAH8Z7t/ec8lb3v2rQ8dI/tgpss/D9qW7/jjns6Bj1bu+d8vZl/7z+GzlzuMxyoqq1H4cWWKdKnO95Xq3pIyc6493H90u53x0bOgnRfZOAMDAM1vO9evx3N+75XR16ijymTPk3MR9yFr7rPui8SUliOGAtbbofH5yuuX4vSpnLIjfMTqUDMblX879221NvFTSv1hrv+QuYIzxjzUqVtYBOV00E2Wt3W6M+bEOje9pknOjXMyv/XXMjeN5V/Di+XV1Sboil8ThdDmB/v3GmHHW2tdKVbXE+16l9t8+Sf4xmf6b3qhelfQuY0yLLwg7RtJe62THTFqcdcbZb9UUVI+yjqPAwq3dY4z5VznTN5wop+uhrLXPGWOelPQxY8w2SSfp0NitknItM+fI6X4e5jVJw40xR4QEfu45wH9cugmhdketTwlh+9Jd/6tyurf6HVNGHXbLaS0NGn/3VsyyovLuR+/5Iun9mJTdcs477XJa/Pz8D6cK0NIHABgwjDPJ7d/L6Y7049zL/yXnCf/b1tqN/n+5ZdxEAO94ynq/qjwvUoANkubkWsDcerwvVw9/+nz/oP95cm5S3CkFmlW4PRk5Xc2C+Mv6Qznd9CqZ8qLY0/Vb5bTw/YWkTutkXS3mCUkf8iWSmBe2sJ+19qB1UuNfL6e71nER6hhHqf23U844LK8P+f6O2jLwhJyAxk1M4SbDuUT9j5Gk1GOd1VDWcWSMGRWSvOWk3H/9N9Or5czn+OdyWoAejFHHL8jpmvlvRZZxu15+POT9nXIygF7qe/2jcsYWb+33ifJ8yNONVXL2pZXTui4557PTfImb2uTMrRr3uPkvOQHkMwHn8W0xy4r6u39aTtfcoP34v9aZWqESUX/zUZd7SE5L34iga50tMWUJLX0AgEY1xBjjZrg7XM48WFfJuak/z3PD/SNJ6+RkwPx7Sc/IGdcyTU5Cg2vkzBv2tqRbjDFfktPqt0xOC2EtfUXONqzL1fVdcpK7bFX/dO+TjTH/nnv9TEl/LOkznq5aP5L0ydyYvt1yxiIdpmAfNsbcKGeusHlyApKPVLgtz8oZ2/SgnH27zVrrPpHvlJNU4r2KNpn6TXLq/31jzFfk3BRfIyehRqBcK+06OUkM/lfOtn9OTmvPLz11/IgxpkO5G2Vr7StxNjKn1P67T9IfG2P+UU6GzNnqP8n7jtz2fMIY84ak3qDWYmvtL40xqyV91RhzhJwHHFfKCSqvKqPuJdVjnVUS+zjKOUfO2ND/kBM4HpQTuCyR9H1r7Yu+5dfIyeT4x5JuK3KzPdE4U4AMldPq/TE5LYfLrLU/CauMtXabMeZmOdk4j5bTKtgq6RJr7cestQeNMzXBvxtjXpNzLjhLznf1N9bafSW2N6oeORlcV8npOrhK0n320HyZt8vJ4voDY8wX5IyVXianBfzfY67rK3Iyez5kjPkXOefmY+Rs16PW2lK9BbyelXSMcaYoeVpOcqbt/oWstbuNMTdJWmqMOSAnmJ0np7u8P3tnOdxg9c+MMd+W02oeFJBHPTdsM8b8m6Rv565jG+UEipMl/Z619k+KVYagDwDQqEbI6cJp5Ty9/pWc9Nz/4k0kYa21xph5cjJXLpKTWnu3nCQf/5Jb5jfGmEvlZHX7rqTn5Dyl/+uabY1Tj13GmNmS/kFOa8F+OZniPhtw4/jXcrK/3SOn++AXJX3V8/6n5LQWfE3ODcM35AQfQSn7/0TOvvmscgGitTZO4okgi3PrXisnEJ+tXEIOa+07xpgfyAlWfxxWgMta22WceRX/Wc72/lLODeB3i3xsn5xg+TNyxvzslRPcn5sbeyQ5ged0OWMKR8ppCVwWYxtdRfeftXatMeZv5LRs/kmu3ou89bfW7sul2b9OTvCYVXhCjyvltGj/rZyb/a1yMkFWs9WtHutMVJnHkeS0WH1XTgvPX8tpTdkuZ4zsPwWsZ6cx5r/lHN/fLlKuO7fgPjmt9I9LOtNa+9/hH8n7CzmZcP9ETvD5WznBnVuHW3JjLRfJ+Q3slPQ5a+0/Rig7qm/L6Vp5q5wHVPfL8xAg9zv/AzkB261yjudHJM2z1sbqGmmt/V3uId+NcsbotsrZZ4/KmS4lju/IOR99SdJRcs6NV4Qs+wU5XSavkhNk/krS5dbaYt9rJNbal4wxfyXp03LO1zsV0Lsk5rnhk3Iecl0pZ7qJN+Uklbm1VH1MLtUnAABAInJd5V6S0wryt/WuD4B4jDOR+N3W2sjjFdHYaOkDAACJMM4E81PlTDx/pOJ38QIAVAFBHwAASMpoST+T0xXtz3JzdgEA6ozunQAAAACQYkzZAAAAAAApVrfuneedd5598ME405oAAADURVgmvdi4/6m7xL5LYCCpW0vf7373u3qtGgAAoC64/wFQD3TvBAAAAIAUI+gDAAAAgBQj6AMAAACAFGOePgBAw+jt7dXOnTu1b9++elcFg9CwYcM0ZswYZbPZelcFABJF0AcAaBg7d+7U4YcfrvHjx8sYkuyhdqy1eu2117Rz504df/zx9a4OACSK7p0AgIaxb98+HXnkkQR8qDljjI488khamQGkEkEfAKChEPChXjj2AKQVQR8AAAAApBhBHwAAkLVWn/70p3XiiSfq1FNP1c9//vPA5Z588klNmTJFJ554oj796U/LWitJ+tu//VudeuqpmjZtms4991y98sorkqRVq1Zp2rRpmjZtmk455RRlMhnt3r27ZtvlevHFFzVz5kyddNJJmj9/vvbv31/zOgBAvRD0AQBQZQcOHKhKuX19fYmV9YMf/EDPPfecnnvuOd1888266qqrApe76qqrdPPNN+eXffDBByVJixcv1lNPPaXNmzfrggsu0A033JB/ffPmzdq8ebNWrFihs846S6NGjUqs3lF9/vOf12c/+1k999xzGjlypG699daa1wEA6oWgDwCAnO3bt2vSpEn6xCc+oVNPPVWXXHKJ9u7dK8lp4TrrrLN02mmnac6cOXr11VclSbfccove9773aerUqbr44ovzy19xxRW6+uqrNXv2bH3+85/XT37yk3yL1/Tp0/XWW2/JWqvFixfrlFNO0ZQpU7RmzRpJ0iOPPKKzzz5bl1xyiSZNmqSFCxfmW9TGjx+vG264QR/4wAd01113Jbbt3/3ud/Xxj39cxhjNmjVL3d3d+W10vfrqq3rzzTd1xhlnyBijj3/84+rs7JQkHXHEEfnl9uzZEzg+bvXq1VqwYEH+7/PPPz/fIuh19tlna9GiRXr/+9+vU045RT/72c8q2jZrrR566CFdcsklkqRPfOIT+XoDwGDAlA0AAHhs27ZNt956q9rb2/VHf/RH+td//Vd95jOf0ac+9Sl997vf1VFHHaU1a9bo2muv1W233aZ58+bpyiuvlCQtXbpUt956qz71qU9Jkv73f/9XP/7xj5XJZHThhRfqa1/7mtrb2/X2229r2LBhuvfee7V582Zt2bJFv/vd7/S+971PZ555piRp06ZNeuaZZzR69Gi1t7frscce0wc+8AFJznxyjz76aL+633nnnVq1alW/10888UTdfffdRbe7q6tLY8eOzf89ZswYdXV16dhjjy1YZsyYMf2WcV177bW64447NGLECD388MMF5e/du1cPPvigvvrVr+Zfe+CBB0Lrs2fPHv3P//yPfvrTn+qP/uiP9PTTTxe8v23bNs2fPz/ws4888ohaW1vzf7/22mtqbW3VkCFDAusNAGlH0AcAgMfYsWPV3t4uSbr88sv1z//8zzrvvPP09NNP60Mf+pAkp1ulGww9/fTTWrp0qbq7u/X2229rzpw5+bIuvfRSZTIZSVJ7e7uuvvpqLVy4UPPmzdOYMWP06KOPasGCBcpkMjrmmGN01lln6YknntARRxyh008/PR9gTZs2Tdu3b88HfWHBzsKFC7Vw4cKyttttSfTyt9aVWubGG2/UjTfeqBUrVuirX/2qrr/++vx73/ve99Te3h65a6fbInjmmWfqzTffVHd3d0EgN3HiRG3evDlSWVG2DQDSjKAPAAAPfzBgjJG1VpMnT9bjjz/eb/krrrhCnZ2dmjp1qm6//XY98sgj+feGDx+e//8lS5Zo7ty5euCBBzRr1iz9+Mc/DgxGXIcddlj+/zOZTMG4QG+5XnFa+r72ta/plltukeS0uI0ZM0Yvv/xy/v2dO3dq9OjRBZ8ZM2aMdu7cWXQZSbrssss0d+7cgqDv29/+dkHXzlKCvgevOC197373u9Xd3a0DBw5oyJAhofUGgLRiTB8AAB47duzIB3erV6/WBz7wAU2cOFG7du3Kv97b26tnnnlGkvTWW2/p2GOPVW9vr+68887Qcp9//nlNmTJFn//85zVjxgw9++yzOvPMM7VmzRr19fVp165d+ulPf6rTTz+97LovXLgwnzTF+y+oa+cnP/nJ/PujR4/WRRddpDvuuEPWWq1fv14jRowo6NopSccee6wOP/xwrV+/XtZa3XHHHfrIRz4iSXruuefyy91///2aNGlS/u833nhDP/nJT/LLuj74wQ+GdrN0xzc++uijGjFihEaMGFHwvtvSF/TPG/BJTsA4e/bs/H74xje+0a8uAJBmtPQBAOBx8skn6xvf+Ib+7M/+TCeddJKuuuoqDR06VHfffbc+/elP64033tCBAwe0aNEiTZ48WV/84hc1c+ZMHXfccZoyZYreeuutwHJvuukmPfzww8pkMvr93/99ffjDH9bQoUP1+OOPa+rUqTLG6Etf+pLe85736Nlnn63xVjtJVR544AGdeOKJamlp0X/8x3/k35s2bVq+K+XXv/51XXHFFerp6dGHP/xhffjDH5bktGRu27ZNTU1NOu644/Rv//Zv+c/fd999OvfccwtaKA8ePKhf/epXod09R44cqfe///168803ddttt1W8fX//93+vj33sY1q6dKmmT5+uP/7jP664TAAYKEyxriXVNGPGDLtx48a6rBsA0Jh++ctf6uSTT67b+rdv364LLrigX9IQJO/pp5/Wbbfdpq985Sv93jv77LP15S9/WTNmzKh5vUKOwcQGAHL/U3cM5sSgRPdOAABQc6ecckpgwAcASB7dOwEAyBk/fjytfA3AmwwHAFA5WvoAAA2lXsMOAI49AGlF0AcAaBjDhg3Ta6+9xs03as5aq9dee03Dhg2rd1UAIHF07wQANAx3Hrhdu3bVuyoYhIYNG6YxY8bUuxoAkDiCPgBAw8hmszr++OPrXQ0AAFKlZNBnjLlN0gWSfmutPSXgfSPpnySdL2mvpCustT9PuqJJ6dzUpVXrtqmru0cZY9Rnrdpam7V4zkR1TG9LrPxXuns02lPu0s6tWr3hZfVZq4wxWjBzrJZ3TKm43EpNuvYB7etLvhuVd5/66z7+yGatf+F19dF9q6ShGaPjjmzRc7/dE+tzI1uyuu7CybrUcewZAAAgAElEQVRr4w499vzufu+3TxilO688Qwtvebzf+0ZSc7ZJPb0H88eapPzvxu/yWeNiHctS4e/QFfS7iHvcB/3OXtz1dsE2utteTKW/Vwwe1To3AwCQpJLz9BljzpT0tqQ7QoK+8yV9Sk7QN1PSP1lrZ5ZacT3mqenc1KVr7t2qnt6+fu81ZzNaMW9KRRfroPKbsxm9d9yIwBvvqDfLYeVWWt9qBXyu5mxGF5/Wpnue7Arc56ivIw7L6M13Sn8v2YyRrNR7MPxYiRP4FfsdesuKe9wv7dyqb67fEakOxQK/sHLKCW6RbtU6N6MhMU9fejBPHwalkolcrLU/ldQ/YjnkI3ICQmutXS+p1RhzbFIVTNKqddtCbzR7evu0at22xMvv6e0LDPgkafWGlysqt9L6VjPgk5w6rt7wMgFfg4oS8ElSb58tGvBJ0Y9lqfjv0FtW3OM+Th3CfpPFyolTPgaHap2bAQBIWhLZO9skee+GduZe68cY86fGmI3GmI31GKT/SkDXtDjvV1q+X9TujWHlVlrfWqAL5+AQ53suddy6ZcU97pM61sLK4ViG30A+N6O2vPc/L3X9ut7VATAIJRH0BTWTB94dWWtvttbOsNbOOOqooxJYdTyjW5srer/S8v0yJloPg7ByK61vLUTdRgxscb7nUsetW1bc4z6pYy2sHI5l+A3kczNqy3v/c3jrqHpXB8AglETQt1PSWM/fYyS9kkC5iVs8Z6Kas5nA95qzmXzCiiTLb85m1D4h+AS/YObYwNejlltpfYdlqnsT25zNaMHMsaH7HPV1xGHRvpdsxijbVPxYiXosS8V/h96y4h73ceoQ9pssVk6c8jE4VOvcDABA0pII+u6X9HHjmCXpDWvtqwmUm7iO6W1aMW+K2nJPYd0n922tzYkMvPeWbzzl3nnlGbp81rj8+jLGxEoKEVZupfV99sbzqxb4uXVc3jGlX93bJ4yi1SSioRmjk44eHvtzI1uyumn+tNDgpn3CKD11/XmB7xtJLdmm/Pe16pKpWnXp1Pzvxi9ughP/79Dl/13EPe6Xd0wJ/J35t7FU9s6wckjiAr9qnZsBAEhalOydqyWdLendkn4j6TpJWUmy1v5bbsqGr0o6T86UDf/XWlsyLRXZqwAAwACR2JPKE04+1b7wy6eSKg7x8dQZg1LJefqstQtKvG8lfTKxGgEAAAAAEpNE904AAAAAQIMi6AMAAACAFCPoAwAAAIAUI+gDAAAAgBQj6AMAAKiRUcOH1rsKAAYhgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIMYI+AAAAAEgxgj4AAAAASDGCPgAAAABIsSH1rkAtnHrdg3rznb56V6OkkS1ZXXfhZHVMb8u/1rmpS6vWbdMr3T2yFZRtjGQjFpAxRn3Wqq21WYvnTCyoj5e3bqNLLAug9ur9G63m+sspu9z6FPtc2Hudm7r0ue9sVp/vvBt0XvWXMXvSUfr+llfV3dObX8Y9h3vPz/7ljFTRdaLabpo/TR3T23TiNWt1IKSiRxyW0VPXnxf43tLOrVq94WX1WauMMVowc6yWd0ypYo0BID2MjRoJJGzGjBl248aNVV/PQAn4XNmM0apLpuZvGq65d6t6eutX/+ZsRivmTel3YxRUt7BlAdRevX+j1Vx/OWWXW59in5MU+N7Fp7Xpm+t3hJbpXW8jnOdrKUpgGhT4Le3cGrhPL581rlaBn0mqoFrd/yBUYt8lMJCkPugbv2Rt1deRtLbWZj225By1r3xIXd099a5OAfcp9ap12wLr5tY9aUFP0yVp2f3P5J9yB7WU1tLCWx7XY8/vzv/dPmGU7rzyjJKfq3drDNIp7PxRrd9oLddfTtnl1qfY5yQFvue2xhXTyOf5RrB95dyCvydc80DgPs0Yo+dXnF+LKhH0pQdBHwalQdG9c6B5JXcD8EoD3gh0dfcUfSpdjTr7n4R3dfdo8d1b1NdnddCz3Ot7e7X47i2SVPOgyR/wSdJjz+/WwlseLxr4BW3bNfdulVT7bUC6hP0Wa3Veqeb6yym73PqU87lSAZ/38414nm9EYfs0yr5uNLv37Ne3NjitlpfNHFfn2gAYLEjk0oBG554gu/9tND29fcqY4Adl1ajzqnXb+gWZvb6Az/v6qnXbEq9DKf6Ar9TrrqBt6+ntq8s2IF3Cfou1Oq9Uc/3llF1ufYp9Luy9sPNjULmNep5vNGH7NMq+BgAMgqDviMMy9a5CLNmMyXddXDxnopqzjVn/Pmv71a05m8nXPUlxn4QPpCfn9W6NQXoFnT+q9Rut9frLKbvc+hT7XNh7C2aOLVqmd72NfJ6vhnJDtLB9WmpfAwAcqQ/6bhhAmb1GtmTzSVwkp3vfinlT8mNHGs2YkcPyT1kzxuji09qq0iUx7pPwgfTkvN6tMUgv7/nDyBlDVstES9Vcfzlll1ufYp8Le295xxTdNH+aMgERjn+9QWVcPmucWpuzBZ9zG7Tcc27Qco3e5nXT/Gl6ceVcDSlR0aC3l3dM0eWzxhVcc2qYxAUABrzUJ3JJapB8xhgdtLZkoo2oiWPiJjM46W/WqjeoP2NETUY6bEimoCthtsmo92B1v//hQzPKZpr0Rk+vRjRn1dt3UHv2H6pDa3NWyy6aLEn55DCNnna8HtonjNKlM8aFJtBxnXT0cP3o6rMD3+vc1BWa+MZNJtPV3RN5yo6k1DqRDYlz0Cga8VgMu2aGTfvT2pzV5uvOTXRdtUo2FFNiMfUJJ59ql9/+fUmM6auTRn8+AlRF6hO5JJUVzR0snkSijbhdnDo3dVUU8EnSQav+4+KqHPBJygV4znq9c065unt6dfWazcpkjHpzE1oR8PX32PO79fgLu1XqK3vut3v0oa880i/w69zUpcV3bSn4zt3ENxtf2q17nuzKHx9JHuul1DqRDYlz0CjqcSxGCTIXz5kYOA3Fgb4+9Qacf/YfKH+qibB11aoLMgAMJqnv3lmNQd6VJNoop4tT2pN6HJTyAR/CRY3Rn/vtnn6vrVq3LTDI7+2zWr3h5dBsrNVOKlPrRDYkzkGjqPWx6AaZXd09sjoUZHZu6ipYLqzLatiDx70VPJGsdxdkABhMUt/SV610zmGJNsK6wLjK6bJSaVKP5mxGhw1pCmxpw+BQSXr5aiaVqXUiGxLnoFHU+lgsFmT6gyx3vKLXojWbQ8vu3NRVdqAWtC4AQPJS39JXrSQoYYk2Fhbpn9+cLW93l5PUw23fdJ+cLrto8qDKEIdCxY6hUq3h1UwqU+tENiTOQaOo9bFYaZA5siUb+l5QiyEAoLGkPuirVjrssDEHyzumaGhQyjZJw8qsx+I5E4uOOnazuHm7yPzj/GnavnKuHltyTmCWOX9muHpqkjNVBYpririLTjp6eL/XFs+ZqGxAAdmM0YKZY0N/I9UeX1PraQXqPY0B4Kr1sVhpkHndhZNDz9N0kQaAxpf67p0d09u08aXdWr3h5US7ehbrjhI2Pq17b3ndKzumtxXtWhM145u/G03npq6i5SaB7J3RnHT0cH1y9kmh2Tkrzd7pfu9h2TtnHDeqLtk73bJrlcGw1usDwtT6WIyTNKVYwpewawZdpKMbNXwoWTsB1Fzqp2zwZ0hLyvaVc0PfK5WGupw03aWmnnCDpzg3DHGCvgZNoQ0AiCjKtadzU5cW372l4OFlNmO06pKpkqTPfWdL4APUQXCNSKw7Sq3ufxCKrkUYlFLf0hc0eL1S7RNGFX1/9qSj9M31OwJfLzdN9+I5E/tdiL26e3ojleO96Mc57fEUFwAGtihJU67/3jP9rjO9fVbX3rdV+w8cDAz46CINAI0v9WP6kg5W2ieM0p1XnlF0mYef3RX6ekVpuks0ypYqx5+yO04jL4kuAKDxdG7qUvvKh3T8krVqX/lQxQlVXg8ZhrBnf1/o3K4Xn0YGTgBodKlv6WttyYZexKJqzmZizR1UTpa0UsFp2DxrQeWEdeGppNVz9qSjyvocAKA66jHBe5B7nuzSjONGEfgBQANLfUtfEkMW42YmK5YlrdwMalFbLFtbsqET8FbS6nnfz0nHDQCNpBoTvJeT2ZnsnQDQ+FLf0vdGQhOSd3X3aPyStf0yGnpb1UY0Z9XT26d3Dhzs9/nmbEazJx2ltU+9GvheqfEQo1ubiyZyccuxVqE3AZW0eu7Z31fRBLwAgGRVY4L3ZRdN1uK7tkTqWZLUOgEA1Zf6oC9KsBSHt/uMpIKuNd1FAsz3jhuhe57s6heQRc26GZYcxmXkjKsIW6aru6fiufk++x0n0yeBHwDUX9j1bXRrc1lZoqXCqSTiXDv9vVWKrb/cugEAypf6KRuWdm4tGiyVqy13gYt6UTQmuKtp1DTXpaZscMv69Rv7ArOrZYzRQWsTm/+uFnO4VRs3HgAGsqApiZqzGV18Wlu/h4xxx6ZL0vFL1ka6ZvjLDqvXinlTJCn0vQY//zJlQ3owZQMGpdSP6QvLpFmpV7p7YnVnCYuto5YRZbmu7p7QCej7rE00A6d3rOBA5M9kOtC3B8Dg0zG9TSvmTVFba7OMnIdxK+ZN0cPP7kpkrF/YNaMl26SMce6bM8b0y95ZbKxh2HuL1mxOJPsoACBY6oO+ao0zKJaUJW45SS4Xxm2Zy2aSe8A1kAfvVyMBAgDUWsf0Nj225By9uHKuHltyjjqmt1U81s+dBqKru6dfk0i2yaj3oM0/YOyzVvc82VUQrBVbf7EeK4Pl4dvuPfvrXQUAgxBj+srgTbzi76YSV9SpEBbPmVjRusYfmQsaE+7Nm/S+9evc1KXrv/dMPgGN0aFNcP+/yUgxcw6E6uruUfvKh/Lfb7Hun2730KB9UG731zjjYGZPOkoPP7srVvdUurQCjcF7/sgYoz5r8+cNSbF+6/7f9YjmbOAY87CHh97Pt7Zk9fa+A/lELlaHzrVtrc3au/9Av4RgPb19uv57z6hjepuWdm4NvcyMLjIEwVvWqnXbOC8BQMIY01eGy2eN0/IOZ2yCPyiJK+qYPnddi9ZsLms9RtUJgCXppvnTqnKB7tzUpcV3b1FvX+2P0WzGSFYFGey8406Cxqz4xR2nEnccTNz1FSufGyygdoqdP4LOPX6lzkWlzl9R6+LlXquKjfNrnzBKjz2/u2ido1zDjKQXV84tuVyNJdZN5oSTT7Uv/PKppIpDfIzpw6CU+u6d1RjT5y2zY3qbWoaW32Da1d2j45esjTSWoZIbc6vqdXVddv8zVSl31bptdQn4JKm3z/a76fJ2/4wy0X3c7qJxx8HEXR9dWoHGUOz3HHTu8St1Lurts3rXsCH9xvoFXUOinFukQ9ePYkMNwgI+Sfn1u2MBi0ly/DkAwJH67p3VaNl6pbunoDtMpWGJN5GIVL0pESqZp6+Y7p5ejV+yNvFyG5E7X2Oly7vZXFubszJGRb+XOMdYscC+nHE+lXYHpTsp0F8SD+DcMsLK6t7bq01fODexuriB2OI5E8vqceL+7ot17ZSizVsLAIgv9S19TVVoxLeSFq3ZnM/8mJRSrS5LO7eGvhfF2/sOVPR5JMe97+nu6S0ZiI9ozkbui1LsCXnYe8XG+VSS4ZQMqUCwJJOAxf1dl7OcNxDrmN4We85Xb+tesZa+Yi2SAIDKpD7oSyrBR62EPXVNYmxiqS5DaEzGRMu/U+oJ+eI5E9WczUT+TKXdQelOCgQL+i26shmjbImnld7fbdzfdZS6ZDPG6YWg4EBs2UWTA9fZPmFU4DoWzByb//9iLX1u9lEAQPJS371zoAl76rp6w8s1rgkaRXeELrlRsoW670Xtbllp2vdKPw+klfe3WGn2zri/62J1ifr5Yp9Z2rlVqze8rD5rlTFGC2aOzSc+k5xzVVjGYwBA9aQ+6GsNSV3diIo9nS01DgLplDFG7xkxrOjY1IwxkTPAdkxvi3wzGJbtNU63sUo+D6RZqd9inBavOL9rv6Bxt5LUvvKhokFg2DqXd0wpCPL8gqYfYhwfAFRf6rt3Th59eL2rEEmpsQxRMp4Vc9LRw0O7E6FxLZg5tmhXMHeZaqhGtzFu7oDGETTudvFdW7T47i1VG4vbMb1NK+ZNyWcWHdmS1WFDmvTZNZtLZrF2J42PmvEaAHBI6lv61r/wer2rkJfNGPX1WR30vtZktOrSqSWf0i6YObbsMX3tE0bpzivPqMqchShPUPZO/8TzCz3zQUqHuoK5grpOJake3cYA1E7gdA8BY7+TnjDdbSX0zxFYLIt1nGUHgm9tKLwWXzZzXJ1qAmCwSH3Ql3S3yLbW5rKmaQgbqxH1Jnh5xxS9uOvtovMg+fkn401yzsIoY8jqKcpUAe0rHwodWxK1u2StVNJ9q57rrVe9gVoZyNOSxBlfW42xuMWSPfn3YZxlAQD9pT7ocwfIJ8UNBkrN1XbT/GmhF6JyLlCdm7r08x1vxPqM/4KY5EW70YIir6hPhBlbAqASA731KWzcbZDWlnjTNEQRJ9kTiaEAoDKpH9NXrfFOpcbYJZ2WPugpZxTeC+JgSaARdaoA/9gS5ogCEMdAn5ak1Hhhr2rkEoszx2Cl8xECwGCX+qBveccUXT4rmb7y3pTSpYLJru6eRAedl/s003tBjHOBL6WRB9HHeSLcMb1Njy05Ry+unMscUQBiGWitT/5rkqR+D77CvOHJgp3UtS1OsicSQwFAZVIf9ElO4NfaXHnXlNmTjioos1QwufiuLf2yok2/4YdlXSjLeZqZbTIFF8Sglq1yJZ3RLUk8EQZQCwPpXBOUqdPtiup98BV2XRiRu4aGlVPOtSBOb4uO6W26+LS2fC+bjDG6+DTGDANAVMbWaf63GTNm2I0bN9ZsfUlkrgxK8HH8NWvL7vbiT7RSDJk3MRgMH5rR3v19am3JylrFnmPzpvnTCpJqBI1X8i+TROINfzKP2ZOO0tqnXtXre536tzZnteyiydygpox/TJ8U77xeS1ETV3Vu6tLiu7b0y+KZzRitumRqvyzCYeUkrQH2dWXzJnmccPKpdvnt3y94jeydNZXYdwkMJJFa+owx5xljthljfmWMWRLw/jhjzMPGmE3GmKeMMecnX9XKJJG5MqjLTiUxc5yxH0lm3gQa1Z79fbJyprCIG/BJ0qI1mwtaIKIsU2mLdVDLxzfX78gHfJITvC6+a0tDtoyjfANpXHDUrqgd09v0rmH9c7z19tn8g4045SdloI+fBIB6K5m90xiTkfQ1SR+StFPSE8aY+621v/AstlTSd6y1XzfG/L6kBySNr0J9y5bEBSmoy06l2UGj1qtRx4gAA12lad+jJlnqPWhJL59CA2VakrCW76DrWvfe4AcuxVrQq92ldaCNnwSARhOlpe90Sb+y1r5grd0v6duSPuJbxko6Ivf/IyS9klwVk1HpBclIgQPGK80OGrVejThGBEiLSm4c6z3XGRBFnEQoxcYq1iuhykAaPwkAjSjKPH1tkl72/L1T0kzfMssk/dAY8ylJwyX9QVBBxpg/lfSnkjRuXG37ry+eM1GL1mwu+/PvnzAq8Gnu8o4pkqQ71++IPWF7NmMiXyiD5pQDkIxKbhzjzHXGDSqSFGdiePf1KMsXm8M0Tjml6t3V3ZPvLdNWopyBPq+q9/7n3e9pYwwfgJqLEvQFDXj1xzcLJN1urf0HY8wZkv7TGHOKtfZgwYesvVnSzZKTyKWcCpdjaedW3bmhsiQoP3vxdS3t3KqHn93V70K3vGNKPvgLGywfKOIecC+QPb19ajLSwfrk3gFSqdIbx6gPZPzZdAezOMEK+uvc1KXrv/dMwbjRKBPDB3VFLfZdVOM76tzUpcV3b1Fvn3Mhc4dHlKp/NetUC977nxNOPpWrOICaK5m9MxfELbPWzsn9fY0kWWtXeJZ5RtJ51tqXc3+/IGmWtfa3YeXWKntnklkvjQrjtKDMYZ2bunT1dzZHDsxKZTwLylgGpJU3e+e+3j719B4s/SGPKNk7veshe2ftNUAWxgGt1DUhThbNcr6LSr+/6Tf8sCBYraT+NZZo9s4XfvlUUsUhPrJ3YlCK0tL3hKSTjDHHS+qS9DFJl/mW2SHpg5JuN8acLGmYpIZIN7l6w8ulF4rIH8f5E0C4N35xWuJKjfGJmiQiCveGOHJLZBlOOnq4dr7ek79ZbzJOKmq3JbSYzk1d+pt7n9LemDf69dDanNWb+3r7fdf+BwNB2ieM0p1XnlFWa0fQZ6TST7+LfS5OF6taK2cf+d9f2rlVqze8rD5rlTFGC2aOjXQ8xhHUgpL0OtKiWBbGRjnuGlmpa0KccaPlfBeVfn/FAj6Jca8AUC0lgz5r7QFjzF9KWicpI+k2a+0zxpgbJG201t4v6XOSbjHGfFbOPe8Vtl4TAPpUklkzCvcCtbRza1nj+kqN8UnyAliLFsPnfrun4O+DVvmW1mI3wf4uP9XWZJzMq965qNyn1VLxfdWczSTSalNO1r+wz0QJhMr5XL0lkRnR2/0a9UcWxsqU2k9xxo2W811U+/trbckmUg4AoFCUlj5Zax+QMw2D97UveP7/F5Lak61aMiqdUqGU0a3N6tzUVVbAV2osUeemLjUlWP96dhH95vod+ub6HRrZktV1Fx4KmNzxlrV+RHDQSgd9K+3p7YuU7MddrpLEQH7+FkL/3xljNOuEkdr+Ws+AHM8CuOqV8j8tinVbjjs+tZzvotrf39v7DqhzUxfnNgBIWKTJ2QeySqdUKMa9wK5aty1ywDd8aCbSJL7uuIlqt1TW2ut7e7X4bmeSane8Zco2sSz+XeD/u89aPfb87kQnFQfqoV4p/9MiaP9JTpfzOOMil3Zu1atv9A/eSn0X1f7+3PksAQDJitTSN5DNOG6UVv/sZfUlnPLSO/bpsxFbfC6fFW1sm5TsWD7JuSHo7ik+lqJWevuci/qv39hX76oMaIyDwkA00LMw1lsS+y8swVlztqlk4Fjp+qP0vqGrLwAkL/VB36p12xIP+Ea2ZAuyi0Wdp+vhZ6Pntkn6omeM8zS2UbKAvpJrsUJluDnCQJTEWM3BrJL917mpKzSj9f4DNlK5lax/wcyxJTNq09UXAJKX+u6d1bgpfqOnt6BbXVh3G784WTPDLnoZU16m4df39mrFvClqa23Ody+tp9GtzWVvCw7h5ghAVO6wgTC1GE4w47hRaipx6qerLwAkL/VBXzVuig9aBYw5KH2xjBPkBAWS2SajI5rLa5zNGKOO6W16bMk5enHl3LpeVLMZZ5Lqao63HAwYBwUgjlLDBmrxIC7KtEaDoRX4Wxt26FsbkplDGACiSH3QN3vSUVUp121B7NzUpcV3bYk0iXScp6gd09sKWuZam7OSKT3HUZR1l3raW00jW7JadclUdUxv0/KOKbp81jjR4Neff5dkjFH7hFEFLbVMZg0gjlI9X2rxIK5UHVqbmbIBAKoh9WP64oyji8NtQVy1blvBXG/FxO1S6R030b7yoYoSsXjXnXSSGJeR9OLKubE+k9Qcam4g690ud969Rg2MBmKdAQxcxcafx0k0Jjnnr3KSuRSrQ7bJaNlFkyPXAQAQXeqDvmqM6ctmjGZPOkrtKx+KNU6vklbHSrdj9qSj1LmpS9fet1V79lcnmYuVNH7J2tD3vRlPJ137gPZVMBF7xhgtmDk2f5Oy4oFf9Atk/fPpbV85t9+NyuxJR+nhZ3cV3LhsfGl3wdyBLdkm/d28U/vd0MS56Sm2rPt6a0tWb+/rzdfZSBqWbdK+3oORb6pK1Sno/WLzDW73BPH+72xYxujZG88vWp9y6lhrUeuz8JbH9djzu/N/D80Y9fbZguPIfz5onzBKd155hqTg38b2iA9JvHUc0ZyVMVL33t6C+vrrF8SdJ1Nyjruu7p58NsW2EgmphhjpVyuC61vJtkVVi3U0qqR+M4vnTEzkQZP/gZU7hYxUumtmUB0kqclI808fywMvAKgSY+s0SdqMGTPsxo0bq76euIFZKSNbspp76rG658mu2K1lba3NBVk/46h0O1qbs3rrnQOJZzKNK5sxsgetDpC6s6aMUdnzIW5fObdokN4W4yY0rHXz4tPa+gXfcW/+yrkxjtraGiWgCtM+YVTRz5YKXILq6NWczWjMyGF67rd7ItUn02TUJEXuoeAVFPgVe9CTVFBWi3U0qqWdW3Xn+h0Fo8Yr6RGQRAAZdj0a2ZLVpi+cG6kOy+5/pl/vlQbv6ZDYQIQTTj7VLr/9+5Kky2aOS6pYRMegEgxKqR/TFzWzZhRG0qYvnKuHn91VVvfISlrrKt2O7p7eugd8kjNHHwFf7VX6bKdYq2ycieKDuhb39PbpzvU7Kpp43g2M4pYRVh9/oqZyA75KPyuV7o7d09sXOeCTpL6DtqyATxK/3Rrr3NTVL+CTgo/RqLwJvR5bck5ZAVbYtez1vb2Rfrcd09s0/LD+HY0q2S4AQHGpD/q8CVEq5Y7jKzd4cz/fualL7Ssf0vFL1qp95UORL5Ir5k3RyBYGuaPxRL1ZC/vtVHpTGzV4i1qfRpr/sJHqgtpatW5baF7oco6LqNeeUssVy4od9Xc7EH57AA7z8CMAACAASURBVJAmqQ/6JCdgqjS1vTc9frnTQCyeM7HsFgnJ2Y7rLpysbCZ+z4ThQ5Np7QTCRLlZi/PbiXPzV+4NZFh9Gmn+w0aqC2qr2PEb97iIeu2Jslyx62nU3+2IkCydYa8DACozKII+KfrTxyAZY7RinpMwxB3LEDfscpcvt0VCcsZ2LFqzWb1lJECx1ipTakZcIMSwCA8aotyEBnVTDis5zk1tucFbUH2C5j9snzAqcl38KvmslGwXdckZ05ct81wwhFNILOX06vAKO36N4k9gHvXaE2W5jultoVMrNBkTaXvDpuopNoVPpfsTAAazQRP0VZIExZ3jzn36KUWZir2QlbRozebQepSq39LOrfrm+vInct3be1ALTh+rIXUO/LJNRjfNnxYpiED9nXT0cEnSszeeX/Q7izpRvH/+ybbWZi2cNS5S4FVM1OAtSn2CEknceeUZ/YK3oRmT/8zls8YFdiF3s3eGJRuJkoQkaM7Ocrt5j2zJ6h8unapVl07N19edkLtUF/iw7J2VbFtUtVhH0irp1eEKe0iycNa42GPxoraGR13ugqnHBi7XZ22k7e0OmXM27PUk9icADGapz97pmnDNA7EmR/cb2ZIte2L0qG6aPy30Ql5p/SWpOdsUaRL5pHlTwgdligvKTodkudk7W7JN6jlwsCCxizv9xYYXXitICHLS0cP1o6vPDiwv6WkXkiiv0aaCqLawDIqVZAlGcpL6fpI6rqPWp9LlSn0u7nrKXb4KyN6ZHjx1xqCU+nn6JCeoqDRgqnbAJzndasIu5pXWX1LVAz7v5L7eG5X3jBhW9EbFnaC9c1OXPvedLYHbWurCXiqFOBOhJ6tjelui+y2J8iotY6AFjWFzrlU6fhnJSCpRSVK/tajHS9Tlom5H2HJxj9+0JX4h2ANQa6nv3llpt8haKnbxyhQb6NAgVm94WVJ53XDcz4QFt6Uu7GHvu12FKhlLGaRaY0sYs1IfA7HrWNSuqaiPRksSFNRNeFi2SZ9ds7ngXBP1uIq6HWHLxT1+G21/AsBAk/runUl0i3Rlm0zZ81tFUaw1q9LgtTmb0TsH+tQAU/UFdvOsdPL5tAqauHz8kc1a/8Lrgcf1yJasrrtwcqwb/6WdW7V6w8sF5bW1Nmv2pKNKTpjeSK1jQXWRFKl+xY6/OJPPA64ovQvq9ftJoudDUBl+SfamaIDeGol273zhl08lVRzia/yn6EAVpL57Z1IBnyS9a9gQtQwdks/eWarkKMu4SnXLcrtNRgn8jKT3Txil7a/1FNxMbHxpd0O0erqtKJLyF2sCvmDuxOXucdTV3VN0X72+t1eL794iSZFuhMIeJnR19xS8HvSd+W/CgpapJu8Nc2tLVm/vO5B/KNPV3aPFd22RjPLZbovVr1hLcq23C+ngHithQV09fz/Fej5EXXfQ9kV5UFSuUvsTAFAcLX0xGEkv5rLF+W849/X25cfMeVtbvMs15RKa+GWM0T98dGqki9f4JWtLLnP5rHGhF96Ftzyux57fHWOrq8fbshlluxBd1OQGcX8f3nLrmVghSitDmKD6RWlprnS7GqlVdCBK2/6r5+/n+CVrAx9Ieq9xtTDAvlNa+tKDlj4MSqkP+gbSmL4wble7SrbjpvnT9LWHnyvIzlhv3hsMgr5kRb15i7vfveXW88axku7AQfWLGkS2tTaXdYNarGuaVLw1KMpNsbtcV3dPaLbcYst46zCiOStjnPGw3m6yy+5/Rt09zhjZ4UMzymaa1N3Tmy+rVJZe/7b4W4W8f/sfpB02pEnvHOifiOqYw4dqSCYTWIabrbgBerRXXfuEUfr5ju6qJ+uK03vF75jDh2rDtR+SVPzh4xGHZfTU9ecFvuftiu5mHXZ7wdQAQV96EPRhUEp90Ecw0bi8T7STbJFF6dYCbwBQbrmN2FIRRVj9Su0T/w1vnPFExbLL7us9GBoMRhnDVCxgLVaWK5sxklXoeOVsxqivzypOOBE0dq3cllmkxzGHD9WJR7+rZG8Tb4DoCnuA680aXWUEfelB0IdBKfXZO9G4Xt/zTj5j3KwTRta5No2pfcIoZZviX59mTzqq4G9vVtBp1/9Qi+/eEjvg8487LXdC9CREydiXbTJOQONRrH4d09v02JJzdNP8aYETYvtDojjZX8PGDL6+tzd0bFXUjLNBy0Upy9XbZ4smqOqNGfAF1bPY+jF4/Oat/ZGGF/zmrf39XnOzQ0d9HQBQiKAPdbO396AW37VFSzu36uc73qh3dRpKxjhdci+dMa6sZ5L3PNmVD6j90xF09/Tmk5uEaWtt1uWzxhVNp17PKQOCAs5sxqi1OZuvy6pLp2rVJVNj1y9ou8L2VtQ5wuKmlX+luyfyvGRRpjOpx1xm3nUO1LnU0DjCeoLQQwQAokl99k40tt6Dtq5jLisZo1JdRhtf2q2Hn91VMkAL0tPbp0VrNmvVum3a886BSK0s5YzFS3qS9jjrlaJl8iunfv7tCuueGTWYC5uI+rAhTflxckHlRlnn6Nbmoq22xcqqJm89S9URKCVTJBEaAKA0WvowqDXqxL591gmGK71R7uruCQwqgjQZ09CTkfu53TFfXDlXjy05p6rBZ6VdWTumt+m940YUvPbecSO07KLJoeVGXWfQclHKcmUzpmgX4mzGxL5QROkKjMHnmMOHakiE7urHHD6032sLZo4NXDbs9Ub3rQ0DO8EcgIEn9UFfW4Pe1MfhdrVD8hbPmdhv3FetNWczKmPYXuL6rNU1924dUIFfrVTalXVp59Z+Y5kee363Nr60O7TcqOv0LicdavkIK8u/zKpLpmrVpYe6wbY2ZzWyxdNN9pKp+sr8aWptzubXOXxoJv+3W1bQeovtP3/3Ye/fI1uyas5GuzyFldGSbRo02RraJ4yKvL8qUcn+dJOzHCgyftS7nN/yjim6fNa4guOthklcAGDAS332zkqy/Lm2B3R5i5IyPmOMnl9xvqTiWUSDyvcj+111bF85V52bunT9957R63ujtYjFcfmscQWTq/u56e0Xrdmc+LpLCevamlT2zQE2B1dVhWWn9Z4jEG76DT8M/H2ObMlq0xfOrajsamahbZTfQNg2xpkjNimVXgvrKNHsnctv/74um8nD3DoZLM+DgAKpH9OXxFiS8UvW5ucEmnHcqHxa91LjwWadMFLtKx/SK909yjZJQVMotU8YFakOZL+LJ85YPbclJCiwNpJOPHp4WfMbZozR8o4p+WOm2I3f576zpaoJCYYPzWjv/r6CfVJpcpJi/Puyq7tH19y7VVJ5Y+wGOpJQVKY75IFM2OtxhI23rDQLbb1/A96As7Ulq2yT6Zel1W3d99cpaD68GceNKng41tqc1bKLJsfeltbmbGCXc29LMgAgeakP+iqd1NzljrHyllXqds3bnSso4MsYOdkZIyAJgqO1Oas9+w+UTG5iVTrw899kBAXWVtILu/aWVVd3rEmUZCcLZo6NdJwGzetWSnPWmUjbKtpnwsY5xmm1KDbdwGAM+khCUZmwh3dJjMmNkxQojnr+BvwBZ7FeDP46+SdOd69939qwQ96YsbunV4vv2iKpMGAsdZ5YdtFkLb5rS0EAmm0yWnbR5Mo2GgBQVOqDvrVPvVrvKoTqswq8aCKYkbT5unP7PcG2VoFPjksF5RdMPbbg77AWrnJaY7JN0sPP7tLxS9ZGuol0x6W4T9fDdO/t1T/On1aw/W/vO9DvBupdw4aoe29vft2fjdh91Kj/HH9S/FaLqNMNDBazThgZOD9ZNeanbJQuhf5u03FbhrzbMaI5q2zGFDzsSXJOyLhZaIP2sVQYOIY9qOvq7unXXXVkS1bXXTg5NHga0ZyVMSr4TRerb9yeIUF18gsaitd70BYEjEHniUVrNuvq72zWZTOd8Xcd09t018YdBb+H048fyTUQAKos9UFfNcZpJan3oNX133um3wXPf1OBQ0/1g27Qyhm7+fCzu/qVn1SLau/BQ62zUbt1ebuChtWjtSXbb/uj3OSHldmcbdK+3oP5fWflzPE347hRBWXEbbWoZsvMQLT9teDvM+z1ctW7S6G3Hovv3lIQpIW1DIV93rsd3T29yjYZjWzJRg58qiVoHy++a4tklN/eUucR/3Xp9b29WrRmsza+tFvLO6YEbr8ryndaznms3Gul90FOWLB50KqgJ0NQUqOlnVtJygIAVZT67J0Dwet7ewsyJvon005j187LZ43T9pVzI4+mLvVUv5xgwt/qFNTClRQ3QCrG+72HeXvfgX7ZNaNMXRCW/n9YNtMvWA6qa9yWu0qnOEibWrV8FgvOa2nVum2BXbDdlqEon/dvR+9Bq5ahQ2oyRUc5dStnPk2/O9fvyD/EKdZSV4/vNIz33FvqeF694WWt3vBy6HsAgOoh6GsQ3gv4QE/a0pJtKkj53j5hVGia7bBgrSXbFCs9fjnzgPnX7W/588sYU1HKr1I3RFG+96g3zX5h6f/Dnu77A8+w7yns9UqnOEibuPuvXI3SrbbY+qLUpVG2o9Z1sDrURbSUWj8MDJtWZs87hx5ElTqe+6wlqREA1Enqu3cOFN6LfCPc2FSi96DV313oDMpfdv8z+a48QeNWgjLnGUl7ew9qpKSFs8bpnid3atGazQXTGrhJWlqbs9p/oE97gzLllPDbN3uKpg/3q/SmxMrJBNsW0jUt6vf+SndPWeO2grrFRp0qopwMh3HHSfk1yti0JCyeM7Ffd8dsxiTe8hnWrbbJmMjjS6tZD/e9cj9f6+2IU7cg/mRSUbIKlxoT6CqWBCgscVC52ieM0qUzxgVObdPd05vvbhp0nvAyRmoSSY0AoB5o6YsoygWpkp3pvREKuykaKBfF3j6ra+/bqsV3bSkYi/L63l4tvntL/qmwtxuTd9vc24Gu7h59c/0O9QQEdO4y3T29ZQV8UnBG1Vro6u4p2A+uqK0+rS3Zft1/qz2peq1b7oK6OA/4ieP997lVaNgIa/Hus7am+3HxnInKZvqfr7JN0QLdKNsR9BuqROemLrWvfEjHL1mr9pUPFZynvK/PnnRUv7plm0y/7W3OZrTQNwH9wlnjAveLV5MxgevwKxbUuZmDw2QzRtmwpjsPo9xco1eeoY7pbdr0hXPVFnCe8o7vXTEvfFxe85Cm0LqVqnPaMEcfgFoj6IvooLXavnKuLp81LjD4am3O6ivzp+nyWeNidwH0P/GfPemofmU0ZzMD6qK4Z39fvzmhJCcgXLVuW7/xa4Ota09vn5PAxytKF9XmbEbWKrFxW2EPEoJejzJ2MCmNMjYtKavWbev3eyi3q24x/uA86HusxX7smN6mVZdM1ciWQ9OitDZnterSaBOB+7cjKD4J+g2VK+whw9LOrf1ev+fJLr133IiCLuvzTx+rVZdM7fdQZHnHlILfzPKOKZr/vrGhXSUl51x4z5Nduvi0tsAAy1XsveUdUwquVcY4Xebduq26ZKpWXXqovq3N2fx35X5mZEtWI5qzunP9joIguFTX247pbaHXwJ7eg/3q5u/yDwCojtR37wybCDau0a3N6tzUpXue7CoIUIycLohuxrX/n733D5Liyu58v7eqs1E1I1HdNpoVZVpCrBZsFkGv8MBMR+wzrC1mxUjuJ42GlcH71us3jue3EW/FaNtu2bJo/JDp2N4Zyfvs98PjdTyvh8EtCbmNxKzRRMB6HcyABtQ0PGzYGQkBKvAMIShGogu6uuq+P6pvdVbmvTdvZmVWZlWfTwQBVGVl3vx9zj3nfM++dy77msDvslL4vScfrpO83n8y70oJeuqRHHYPrMYbJz/URrZEM/H3r03VGutueLAbH3xUTIwgzJVCseXrFsPAmSYl6xe2ceViHDl3rS7FUdV+IUhasKo/YNwTDEmu6QqCTr4/bOxptcsU6cvNOI6Npvfaf69Kww6qOOlMHb51Z0Y6ySBroVIslfGd967XntHCSVt3fw+ODm3SbmfjysXYfzIvbX/g3MaRc9ekacGAWcR098DqmiNVy6qwnXfd+dGpwJoo83otYx8bQRAE0Rza3ukLKyNy48rFyubde49dqkntl73e5g64Y05UtQ0hMtLZkdY6fRzAD350q2aQ3JPpwNPrejHQl8ML42dCaVRvgq52ZUk207LGe9SYGMqq9gtBREGc/QHTjOGZ9UtjN8jareVDXM3Z2+04hoHMoVGhykBQKd46W6k4t7P32CXjSUExOSZTBe3sSPnqd+i3jYcu0m5S39usGlaCIAjCnLZP7wyrT983jl1SGgd+FNec2FOtxifyym1cKRTxwvgZo6il3US4MVXCc69Va1/emmxeo/rPLe+R1oyIF38rGZ1WiiFtUP/il2zG8l5IQtjtEHYPrMZ7ex7DByNb8N6ex2J3+ID2a/kQl2JhuxxH1b0S5B7yk2Xgxyl3Pv9VE3im6MRcbk2XjesZg6RK6yLtxvW9TahhJQiCIMxhPKZaqnXr1vETJ05Evh0/6oxEuKQYkGZzgil29U7n7HNQuqzqvIWIfjIGhHlJizEDkCrX6bBS1Vqfg6evun5npZhxfZOMdlK2VNFO+9g/clhqwOeyGVdKYNjojqPsuxMXr2Pv8Uu1+6gzzdDV2YGbxWiaosvGALjTnMfeuVxXFynuL2f6s25s4xN5Y8VaAPj03Z340cfTxv6KvTZt2dDBSP0cET12RpFFSv+pyzdxa7q5KfSfvrsTP/x4Wvl9NmPh1M5Hte/lexakcXrX56XfPbzzr/DjO2WjZSMgtJm/B3/6Yf7+350Oa3WEf1pDFY8gQoacPiJyVEX6dmMv6FWYsdKuWWY/xlaXlUKxVFHWzznTtWSOn6jrFCm+psZ1qzowrUxc52F8Io/B1yZdTksjjr/f7cscK+fES4rBs95Mds81Mi7nGKw0AzjqjlXGSuOpR3J196eoj3OmGarGFtZEkxfieffTv/NfpMrDhDcyZ87p8OmWjQhy+toHcvqIeUnb1/QR8bPv+GWp02ci1OCFrJZmkQ/xnjszHBdGtngupzMYRc3l7gG1IdyoqAXROEFqm0LFaWY0yexQ7fddVsp1PZuUJMvuuaDIUg9lNWxC2MQeFe0fOaxMW5SNrVniUeJ5d2eGHL6gyJw72We6zwmCIIh6yOkjIqfMOfpHDmsjYCpSALxMJ2f9iR9tDNOaKi+DMV8oon/kMEXwEoyutinqcyYT5BDtS5qxbdl+N+IAhSXE5Gc94h7zal4et/KreKb41PQiCIIgiEghp49oCsJAs0dXAHd6mROTuXKnKEzBR92dqVCDibR+0yNHhC/idAaSuO1GCEuISee8OWGof46oFIJVY/OzrUaw95+bb/1HCYIgiOTS9uqdRPIolsp4duwUnh07FUq61dT0TJ2SXVenvsG5nRTjtd+OT+TRP3IYy4YO1jUjBsydw1ZuIN7u6JyBpGxbdw2Gve1sxnIpe5qI1AZV/5Ttm0xd1Eozl/KvzMHjcGfI6sZmui0dVpp5HiPR4zLuXpetzD0L3M9w2We6z5NMz8LOuIdAEMQ8pO2dvofuXRj3EIiIuTFVwvNvnMH4RB7jE3lfinWlCjD42iReGD+D5984g/ysqIyI2gmj28+MPfUgTCZxti8w2baovVNdg2Fve/iJVS7p/a99aS22b+itS5HuTDNkM5Zent8D1b4BcI1h9ItrMPr0mrrPVHcfn/3eZGyyVgPObXVZqdq+pxlD//Ie1/Jf+9JadHe5W0WkGasTrdo9sLp6LH0dKTcLFZNYYgxR93r0g9dItm/oxStb13quRybMcnrX510OXpPVOwmCIFqatlfvXP78t9oixUbX7NyLbMbCwgUdTUltipPcbEQjyH6qUrFyszWIz706aXwd+ZXhT6qyZ1LH1Qhx7pPXtqNs6xD3uWx03+JseREmJvthqjLq3HfZ74TqqVPl1AsrzTD6xTVG16cdu9OruuZkSraqdSSM0LzrZtk/hJLkzJQQRBNp+5q+Vnf4GBqvRblZLGH4iVVNkSuPk0YibKrrREQkTK8jv5Gj2BUlW2xcjZJkFdUo6/6C7LcfR9Fr2Ub3bXDzCgy+PlknhmOlWeKbzDuPi+o5bhepSRnWAjrFo8TxFtvLdlngHNh77BIWZSzcZaVQmKr2Wrx+6462ncTCzg7XuTY5V0fOXav9W3XNjR46r3T4+pf3JNXhIwiCaHna3ulrJEIWN91dFiZefBSA2SyrCo5qY/F2dviAudqlMCN9jMH4uKUZ8536FqeipI6kjqtVMXGiVU5BM2oOnfhx+pu2b7KivgQjOy6q95FdpMbPRKXzWIs/zm0XiiVkrDRe3roWA305vDB+Bt84dkm53puzLW/sTquJM2p3XjtS1fR5gZUCRp9eq3Ue3710E+MTeXrGEARBREDb1/R1diR/Fx+6d2G1IbGDT27PCZQ88BONGX7OhuLthoiwbVy52PdvrRTDM+uXukUeUgym9lfGSuOrX/LfaDtueXkVSR1Xq6JzogVx1hw6MRmvn2Ub3TdZdKhU4bGJJukEd8R3MqEqXW1iUOzHWrdt+3L2iJyMJdmMqw7T1BkVyzsDiaUK8OzYKa3QFglhEQRBREfbR/paoUHu1HQFCzs7XA3FSxWO4QNnMdCXw7H3b8Q0umTCGJDpSKFYqmBJNoONKxdj9NB531G+bMbCF9bchyPnrqFYKtcifrlsBlPTM0pnubvLQldnB64UiliUscAYsGPsFEYPnfdVL5Wk6I5z+0kcV6ti4kQ70/PirKP04/Q3Y9+SNAmhi2wC3m1oouBKoWhUCygicbrnpHDGVb1JGYPxZJiMKQ+hLZpYIgiCiIa2d/pagSuzM6MyCsUSxifyLV+bCPhPtdX1ueIc4GB4eVYJztTQslIMn7qro1bbsnHl4jqRgzLnNaNnx9gp5Xp2Pr5Kmkblt/ZtcPMKqfhC3LVKSR1Xq2LqRCel5tCP0x/2vsnqA5M0CeEV2QzL4UszhgrnRs/MJdmM0klzoksztaeoK59/HHhl61o8q3k+6vDaH5pYIgiCiIbk5z7OA5ZkM1rZ7dFD55EgVe5ApBnzncJU5lwrsSUMLVNjh7Fq9PTGVKkmG7/32CWpAffs2CnleLMZqy5yIfv9rjfPGvVbk8nIB5HEDwN7ytroofN46pFc3bieeiSH0UPnQ+0hN19IUuqmCX7GG+a+qVo7bFy52NVPz0rFI+Siizp6RalMH+MiXfzCyBajZQc3r/AVIVP1OLSnqOt6Sw705WpqyX7RveuSfE8QBEG0OuT0JYDBzSu0kbwrhSIyLVCbqMPLgZOh688lMDG0BLJD7NcRFf3N7NuXcWOqVGe4Dr42qXX8jg5twoWRLTg6tCk2h89pbO8/WW2efWFkCwY3r8D+k/nQe8jNF5rp3IfR4N3PeMPcN9UkyluTV91eis8HSliN73XOkC5KlctmsG1Dr8tBlmE/fjonyX6s/UbIvHocejnzsu9NkNVPA9WU+bgmvAiCIOYDbd+n74Ghg5FvoxEYgAsjW7R1FrlsRpsC2kr4SfHcvqEXb01eddU62mmkN59fRM8+v72rBNmMhVM7H41qeA3h1T+sXfqktTuqXm2tYkwvGzro6zlnev2FeVx06wLcqebO7Yj0VdVzw/mcUCltOvvZqca1oCMlfYaKY6drt+HVisP5va4VhFDvFOqh+45fRplzpFlVSKsFWjVQn772ocVzpwgiGFTTFzPbNvRifCKPqekZ6feiF1UQkZIkwqGv1bNz8PRV3FIcF0Ft1tnRwytsGCA1LmW1byp0zmvceAllJElIg1DT6q02/PYkNb3+/BwXL0fHRJTG6/eqJuVWitVlEgCoOUNeTpJ9XPlCEWnGUCyVcZeVgpViddsRETuvmmSvOkzn9yYO6vhEHvtPztWplznH/pN5rLu/pyWuUYIgiFaFnD6fiEiVcFwa7QO47v4epdPQ3WXVBENOXLyu7avUSpiK0ni1mejumqutGz5wNlKnSpY6JYxDu+qnl0O7bOigL+VCvzPtQdUevYQysl2W9Hw0IroQ1tiJOVrdOVcJCN1lpRq6/kyPi6kwk84ZMhWs8aNountgtVEkTPzWvg83pkqw0gzZjIWbxVLddvpHDoc6SfDW5FXl52L8rT4xQRAE0aq0vdPXrTBWgyLqIETUZ3wiH1jFLKdRXHOmLXn1VZpvMFQVNIHqOQjL4UunGMoVt9OWLxTR97tvK1U77bPWOuz1cIBe4dPLADUxUGWOFeA2NDeuXIy9xy7VTWDYowGf3HZHXEUUOgiNqp4ScpqpchmF065yhAB52qTp9Wd6XJrtkESh1irbh1KZY+GCDld6ediTBKrnsP3zVp+YIAiCaFVaWx3EgJ2Pr0I6FW76trP/VDZjBVrPrTszylQm5+f0QqyHo9ro94Ghg4Gdbhkyh09wY6qEZ8dOYdvXv4sdkubHfvBqQrzt69/1bLCsMlCfe7UqGiMTZ/nK2Ck8O3aq7rPnXpvE2DuX6xw+BuCpR6oGqawxNgAs7OwIbLD6af5NmNMslVCVymZUwj6NisWYHpd2cEhU7xTZPuhEaaJCte4UYyQMRRAEESFtH+kDqp5tmK1y7S+t8Ym8Z92ZCl10yqnY5rfWhYiOo+9dD2U9svM5PpHHb7w+iWlNfWJ+thGzyhAtcz4bNeMuUQWZxEK5wl33B0e1pvLIuWvK6+5mA9HVdjCuk0izGrxHFREzqTELgulxSVI/wCCMT+SVJQeyffDqx+mM5m5cuRhHzl1r6Noa3LxCWoM999yiaD9BEEQUtL3Tp4pSNMLGlYtr/9715tlIBETKnNcpj3aEHK0k4oehalTZUzGff+OM1uETPP/GGWWdHRBOg+gbUyVtanQjhnCrG9dJphkN3qNy2qNMrzQ5Ll5OUJg0opqpYvTQeWWNuWwfnM5wtssC58COsVPY9eZZfHJ7pvb+zBeKdXXl+UIRO2YzB4SycTZjSSczXdkwikFSbR9BEER0tH16ZxSRg4OnqULX5AAAIABJREFUq8Xq4xP5UOsFdcyE7LgS8cOBunRG0ybzQNU44hyB+mSFQaOGcKs1Kw+DsPrENQvdeKNKC4w7Atysfoq69NhGUmeDHCfRJ/TlrWtxu1RBoVgCR3XSx2vCVHwrxviFNffBckxQOhVJvSZiKdpPEAQRDW0f6dNFQ4JyY6pUm4kliEa4MpuqGaQlR6FYwvYNvTUp92Yh61eoQxe1mC/qna0iXGO/Fu1pgs7xRhURS0IEuBmRUq+a1qDRTl0ZgNfv/Uw6ySiWyjhy7hq2fmZpXXuJrZ9ZWrddL6eOov0EQRDR0PaRvqhs4bD75tlnlon5Q7bLqs3qB2H/yTyeWb/UFTXzkwycQrWPlqkg0dGhTb4cPlXUQkQYLoxs8bXOVqQVhGvs5wpwZ+DZxxtVRGy+RIB1Ec1Gop264+T1+zAibPlCUdqDzyRKDLTnuSYIgkgKbe/0NSI2oSNsh89u/BLzg4yVBueN1d+J2XWnAb5tQ6/UeN6+oRfdXXPOXTZj4Wtb12L3wGosXOAd+E8x+EpPbAVnpxnEnbZogkmkx6lcHLbT3qz0yrjRpceqvuMAHhg6iOXPfwsvjJ+RLqNTk/aKoIURYRMN4e047/fBzStcKaBAtb1SO55rgiCIpND26Z1JV720Uu5eZ/3Le0JTiCQaR6WGp1oWhsvveXI1dhi0m2AAXt66Vtma4kqhKE1JW3d/jzR90tnkWdRumdwnohTHND2xFZydZpCEtEUvTM5JM8bbjPTKMGikT+HGlYvrRFHsn6+7v8eVOmunzHntt7KG7cNPrHL9nqFegEyGLGXXSjMs7OxAoVjyfA5mrLRyzK5ry+HzWWlW64FKEARBREPbR/pk6UJJIZuxMPr0GteLbu+XP4v+5T11n5F6ZzykGTN2+AD9TL2dXDaDgb6c0bJLZpdVpf6q1mESiXGm9KlwthABzCJ2cfQBSyKtkLbodU6SNt4o8RLdaURsZXwij33HL0u/O3LuGgb6cnjqkZz0nrOz97jbaQRQ+7391xxwpVnKfueMso5+cQ1O7XwUuWxG+hxMM1YXkTV5Ro0eOu9SvC6V+byL/hMEQTSbtnf6xIvMntKWFE7tfFQ5s7n3y5/FByNban8+fc9dTR5ddGzf0IuMFc2lt7AzHZqTn7HSvgRSrHQ1aus10WA3nhtdtlFD3CulL2Ol8crWtagojoNXdKgVnJ1m0Appi7JzJRyHJI43KkwcuqBpy2LdqueKEHay18Wp0H195Nw1bU2mX1T3eYXzukklk/udov8EQRDx0PbpnQBw4uJ1/LgYrIF6lPSPHDZODWrkhfjpuzvRkU7HnuaaYsAvre/F7oHV2CtJbQqDqemyNhVS0L+8B0+v6/VsPKwS7HGmOnV3Wa70JJkKonM5p4rloowFxoDCVMl1XUSheKm7ruwqnarj4BUdmm8qnTqSnrZI56qKSa/AoI6L1yTLkmymYRVNQF1zrhufTmHWND3Z5BpqhVRngiCIdqTtnb4Xxs9IayeSgHjx2V+ugPyFGaQ20W60j0/kPR2hqGAALoxsqfuskVrLjJXC7VJFmm60KGNpZ7OFaI7Ay6A9cfE69h67VLetjJX2jHqI75w1MrdLFemycRnWqvPgPE6NSPQn3dkh5qBzZebQBXVcdM88cT+Z1PnqGJ/IK+vvdOPTObt+7n+vayiqdh8EQRCEnrZP71TVTgQhxYCIshJRLJWx682zyrQiv7WJ2YxVV8c10JeLLcV1UcZy1ceoFNxMmKlwfG55j6stgZViuDU9ozSs/BoWIs3KbjwxAE89YmYYh61c2UgdkQrT9MtWSE8kiDAwqUMNmrasq9MTz5VGI16jh85LHT6GYC0dhFBUWPc/PUsIgiDioe0jfWE2ra7wOfXCKJA1kRfO4MSLjwIAdr151qjZvMy22Pm4W9UtaoQjVphtnSEclT1Prsbo02swfOBs7TtTSmWODz4q4uWta+uiolPTM8pj47ehOCB32jiq9TImhF27YpJ25hc/KX0UBSLmAyaRKNV9A+jT9nXvo28cu4S3Jq/iC2vuw/6Tec/ntGoST/V84dBnNuiil40olcqgZwlBEETzaXunL8WiddSawY2pUi2aY1qbeGOqhAeGDiLNGJ5ZvxS7B1ZLDZUo6vyyGQs3iyWlIyYclaNDm3Di4vVA6beyNgXLhg5ql7c3ljbdhox8oWhUjxl27YrOiWzEKCMDjJARtqHfKphOhDjvG11NnFgu5/HMLRRL2H8yj6ceyeGtyavKCTHR4kCG6rmjy/QYn8jj1h33u8VKM1y/daeuNCBfKGLw9UkMHzhbe87L6qFPXLyOfccvo8x53XtIbG8+XlsEQRBx0vZOX7qFnL6MlUJRUvMFAMMHzuLOTMV35FLX00n2kg+DOzMVvLx1LQb6ckpH7Eqh2FC9pcxx0jmx9nRIwMzxU62PQV6P6Vxn2LUrqvFkuyxPY5MgAG9jW3zvFCCab9dUkIkQk0j84OYVGHx90tWywPmbtyav4s5M/btAnA+vrAXVNj65PYPxibzrd05nVbCwM43pmYr0nVQq87rsDftzPF8ouurH7e8hZx/C+XZtEQRBxEXb1/QpfKhEcpemZq9QLDWUlvnN45eqtXSvTdZqwvymVZpSLJUxfOAsAH19TNB6S5XjZFL36KemTiVhbyqFHnbtiqqOiHOEWjtItCdeNaHOno1hSv63M6Knn2rCyf75QF8OCzu951plz3vT6T7VNkoVeS88lVro7VIFpZBnTPcdv9xQrbNX/0SCIAhCTdtH+lqJwlQJ2YwViTNW4cDzb5wO/SWuolAs1QRbVNGuIGqiulluZ1qWak9Na+r8pMOq1hlm6qQq7Uyl9kd9rwg7XpEok1YBdE1VUUVEVazd9XYtFbLR57tJZOymYhuy86c6p2HWw9vXaeIcyzBJnyUIgiDUtL3T10o1fcKIlzlJt0tl45leFarU0aiwC9DIUsqee3XSl2EhnEWvVgni+7W73pYaWIsy5iqmTqdNNaPfrB5TMidSJe6TjUmtlUgmXsJCJg7dfOqlpkqFdTofJk8weyqkiZPo9d7yEnDyU0+sWjbNWOiOXyPrjELIiiAIYj7R9umdreLwAagZFbKUwBbajRrCERnoy+Ho0CZcGNlS10bimfVLfa1PKJmaolJH16ime+JXqr0Z6UgqGyqCiXqihfFqReDl0MV9nTcTZyp8vlDE4GuTNUewkVR7k9uywuGZqq5z0v08p1TLPrN+qa82QSb4febbCVsNmSAIYr7R9pG+KGYroyCFuRQVWTQnrsbqjbJs6KBSnU0IywiFNxOEkqlqZtc+O69a442pkpH6pgw/LQ6alY6kSuVSfU60FmEpHXoJC4lUYdV9o+pPmYS0u7DVIIcPnHWlwpcqvKZYGTUijV2kkMrwjuTPjT/F5OdvfCKP4QNn664J0Yt098BqrLu/x/N5ClTfX3dZKUwpskkYgG0berF7YLXyea/rYQiEr4ZMEAQx32j7SF8rOHwAkE4z7ex4V4Nd4RsIbjWEVxPx3QOr8d6ex3ytU4jECESU4YGhg9gxdqo2O68jjAbnHMDf37yNZ8dOSaMbjTZnN42emDSTJloTL/EVP3gJCw305bBtQ6/yWbH/ZF663Uav80YJ8xgJVHV3hdm6vEbJZTPoX94j/S6FuayPo0ObkFWko6tebSJKaU/nr3Bg7HuX646JWM65rxzA2DuXa5NrIksjp9jvNGP42ta16F64QPp9NmPhwsiW2iSfKtrnFQX0m2VBEARB1NP2Tp/qRZU0SmW5sppgQQNpNukUw7YNvaGn6vjBywj0c57sRoqX4mAYYxPbcTqWwNykgszQbCQdyY8hS8ZQaxAkBTJsh0qVai3YPbAaL29dK426qLYbd9pds51OE5VgcfS6uyxYqfpjKe7NDz6SH59FXVbdefEbyR89dF4q2OV8x6iWA+RKn4ObV8BK1++LlWb46pfWYKAvpzzfznHuHliN7Rt6a9dYmjFsn40C6ghbDZkgCGK+0fZO38aVi+MegjE6I6kgEerwQrwYv/r0GuweWI09T+pfqlHjtwbFhEbrawS6sZk6lk5Ds5EInB9Dloyh5BM0GhWHQzXQl0NFEUaSbTfuSHMUx0jVyFz4b/b7TeYgi356Ey8+itGn10jvTdX4nM96VRqn6nPdftu/8zo+0u+dl4Xt/36uA5Hh8cHIFry35zFPh0/gNWlBEARBqGn7mr4j567FPQRjdEaSrl2AjFw2g6NDm+o+E7LsftYTJtkuq672Jttl4ZPbJd+9FO0GWVjGr+7Y+3Es7eOR1VABwNS0vEmyaj128oUi+kcOu2qWwmgNEXZdFDFHUOXBuOqY/GzXq1YwaqI4RjsfXyVtcF5tfXMGe55cXXu+Lhs6KF2HuIdV96bpuG8rnj2qz3XvCvu6vd4pznHIIoMiIjjQl4v9OiAIgiD0tH2kr1WUvbxejn4jYap1BY2ohcHNqRIGX59TxLsxpXf4ZGWMVpph5+Orav83Ney8RAJ0EWE/15B9PCIC56zJuTFV8ozy6PYrjJolJ1HURRFzBI1GxZW662e7cUeaozhGA305jH5xjTLN9blXJ2v3RtBIp9e4RTqwqtWO6vPBzStcKaVA9dm5ceXiWorx1PSM0gCwUsx1/Lyu4bivA4IgCEJP20f6/EbI4kCopXn1nwPMGoXblxc4mwnHQQVApWxedVfhDK9sXaONPqmiaXYyVhr/pHcRjr53XbmMKiLsx+mRGZoiuuoUSxCGo1jGyeDmFdJIg/33YoY9jAidSSTKfg0JVdwcRQSNWJSxAvWM9KMWqyLI9eF3u2FEmoMSxjFSrXeHQjW5zHlNoXTjysX4xrFLrmW8Sgt043YqovodN1AVvBLXXHeXhS0P34f9J/O1dd6YKsFKMyxIsToHMpuxMPzEKtfxM4lMxnkdtBLXb03HPQSCIOYhbe/0DW5egcHXJpUF60mAo9q2YO+xS1qDZej1SdwuzwmH6PiZ3/kvNfnshZ1pTM9UascguUeiHhPlVafhlO2ycLtUrhkxdmNHh2wWW6jb6UZh4vyoZsjthqPzdwN9uTqjTTXmsOTyVdeT+Ny5HaeAjd/tzTca6RnZiCHdyPXhZ7vNSA3WbSMqZ0M3ueYlFmNSWqAat0lKuSSYp11vNWpYv85SmePeu+9ylQLIkE2wMbhTzv1cC36vG0pBJwiCCE7bO30AEu3wCZxG9ImL13Hk3LXay82rT5ITe7+kW9ONC53EAQOMDFZh4MwZuHP7frtUwcHTVz0NKFkqlk7drrvLwsSLjxrth4nhKDNcvPqBLclmAteKOUmxar2S7HNAb4QG2d58QyXEFESgyQ9Bro8ghnjUffri6gWoiuIJvERTZMcScEf3nJ+ZZKfI7lfduTNNMdatw+loiiHkC0U8O3YKz79xGtNljnJl7n02+Lo8o0FMqpXsy76mzn4Yn8jXZT/o1k0QBEG4aXun7zdmXwqtRLFUrjM0kp6eGiU6g9VpnNy6MyNd3iRFauPKxa716Y67qbE+PpHH1PSMdhmVMaYbg0glVaWf+a1lVc2LiM8DKf21CM2IHsQlyOK3llDmXD07dgq73jyLnY+7U/6A4CI1fmjGNmR4RevE+ZOd20UZy3UsB1+bBBjcjgtHnfPD4D8jw8sxNrkGVes4cfE6xr53WZluLpDVGZbKHLvePFt3nsYn8tgxdsq1j6UKx/CBs9JzuuvNs67ty9ZNEARByGl7IZdpHzVkRDJgqPYWVJ05e1qjXXhElwrpxRsnP3StT4dKLt2OGOMNDwdRVdelEt3p7rJqAgnNksv3Wl+rNoJvloBNXIIsfq8PVURXJz7UjLYScfUCNBHakQmnWCkGxtyTVqUKlzouzowCDviuvfZq82JyDarWse+4t8Onw/4MFPecam2q57jqOer1fCUIgiCqtL3TR7QOacbwyta1WJLN1NKDZKjSGlWYGE9TpYov0QSDckPjMarqumRqeK9sXYuJFx+tzWyH5Uw4FUadn+tUX1tZlr1Zjb3jUjb0e33onBzVcWnGxENcvQC91l87f857mDXujHCo+wXKMFHXfOqRXF1TdKeAmK7+OCzC6q1KEARB+KPt0zuJ+MnN1iQuyWawceVivDV5VTqbK4RNvAyCW3dmjKN6GSsdiYHhVW8HmEchdKmiXgIVYSkXDj+xyiV4ZKUYhp9Y5dpOO6l3NjOCFIeyod/rwyutWXZcmtGfTSbIJWsrEDaDm1fgWUUKtXCeRg+dl0bvxD0SlNysw2nqPHqlb45P5LH/ZL42pjLn2H8yj3X399SuB5XKbKN02frvBL23soqxqSasCIIgiHqMnD7G2OcB/D6ANIA/5pyPSJb5EoBhVCcoJznnvxTiOIkWJc2YSxlu98BqjE/k8dyrky6jyMRB82OURDWjzAE8oGjK7JeMrCGhAlX9WVCVxY0rF+Pg6asuwzLNGLZ+Zqm2AbxY146xUxg9dF4pUtGIoxNGvd0L42ew7/hllHnVEH9m/VLsHlgNIL5aOztR1xT6uT68WqDIjktULRNcSKJpJy5ej/zYvXbikrTdyzPrlwJQp4KXOQ886eRVsyvDy/k2qYsslTWNUxugs2Mu2uw1saBy4rwmpgiCIAg9nk4fYywN4A8B/AKADwF8jzF2gHP+t7ZlHgLwPIB+zvkNxti9UQ14vnLPgjR+fKf1UmLKnGPtrrfBWDWiZTfM/Bg07cxUqYIXxs/UHBEVpiIbKidC9nuVMmGZc4x973JdFMBrLDJBCp3CopezE4Zi4wvjZ+r2scx57f+7B1Y3JUqlIy5VShWyHm8C3XGJOoqpiqbtPXapTkEyimO398ufVU4cjE/klaIrIgpubyejitplMxYWLuhw3Qsism6Cl/NtEtX2Unru1uyDDntmhG5iQefENW1ygSAIok0xifR9BsAPOOfvAwBj7M8B/CKAv7Ut82UAf8g5vwEAnPMfhT3QdiZnINHdig6fwG482g0zU2ny+cC+45c9nT4vkQ2ByonwW0ujU8aTrUsm9KBSWDRxdsJQbNx3/LLy890Dq2M3JONSpdRhb4GSFANb5bA4r7iojt3ugdXS+3P00Hmpw8cAVxS+f+Sw1GFigLQZOqBPL5Whc74bjWrnspla1sbaXW9LMy5UDrCzgTsQLFWcmr8TBEEEx8TpywGwW04fAljvWOYfAQBj7CiqKaDDnPO/cq6IMfZrAH4NAHp7e4OMNxEEkdNWkc1YODq0Cf0jhyNzgOwva8GyoYOxNWkXhplfg6adMan9MRXZUDkRQWppVLP6ftYlW9bE2Qmj3k51XO2fx2lIxqVKaUKSDGw/E0TNPHY6Z9R57HTLijRpWdP5sJ6RJlFtVd2c+L1AJT7V1ZlGhcMzcp6ka6tZtIv9QxBE62JSTCR7vDstqQ4ADwH4OQDPAPhjxljW9SPO/4hzvo5zvm7x4sV+xxoIP/VSpvhVVdMhUll06oiNIjM24pbYv1IozruXvo60yoqy4XXOrhSKWieiGWqKpsuaODthKDaqjqvJ8W4GcalSthqy56PqDDbz2Km2lZN8rhuXrmWIl7KuKSYKssNPrHK1nwCA7Rt665ZTiU9NTZdjUaltBeKwfwiCIOyYeEQfAlhq+/9PAbgiWeYvOeclzvkFAOdRdQJj57akWWyjpBnDxIuP4pWta2svt+4uSzn7CUg1COpepOKFLHMmM1Ya/ct7Ao8322Whf+QwHhg6iOXPfwsPDB30bBgeNcIACst5bnWEKIQOr4mBJdmM1okIMrGgmjORrctKM5fBqKoDM3F2wmhHoTquJse7GcTVvy8o4xN59I8cxrKhg+gfORx6P0MVsnYDn1veE/ux83P+BjevgJX2nmxwtsYYfmKV60WdAgIJmAz05XB0aBMujGzB0aFNLmdsoC+H0afXuNrEOFNbVffvooyVmJRggiAIoh6T9M7vAXiIMbYMQB7AvwDgVOYcRzXC9/8yxn4S1XTP98McaFCiqBsrc45lQwddLzWnaIQde2hU1DAcOXcN4xP5OsdPVUsDAN997zqCuLCf3J6ppemJtLYbUyWkGKBphxcZdqNo5+Or8JVXT8UyjiTgVJPUYSqyoUrhktWvqdQ7BTOK86KqhZN9pqpV8ko1C6PeThxXlXpn3MRdU+iHOEVnZO0G3r10E089ksORc9diO3Ze58/5LO9IMaMm5/lCse7dkE4zVGy/Sxs4j0ExSb2U3b9WiuHW9Fw7nbhFiQiCIIh6GDeoJWKMPQbgFVTr9f6Ec/4SY+x3AZzgnB9gjDEAXwXweQBlAC9xzv9ct85169bxEydONLwDXjgNlShIM8DgPS4lY6WN0l+C1vwxZtZIPErsNZDdXVad0iRQPUcyR8b3dgz3lQHYtqHXyPC3G23ZLguf3J6pkwz3On/jE3n81hunMTUbcWYM2LbebNum4/IyNE0MYV37iQ9GtjQ0VhVJEgohvFE9g2Q1w62+bdNr0+s+bOTdI54tKgXPZhx3Hc59n5qekU4eycbZovd+aJ52s+wfQkky8vsJoskYOX1R0MyH3ravf1faZylJeCmXxSm8EhQrzeok/AG9kxSGmI1wUHROzCtb1wYyMIIYnjLDz9TRbybLn/+WVPQkzRje2/NYDCMikobqGcQAXIhoYiCObZves7Ll7BNKYTzPctkMrszW+znR7fv4RB673jwrVwudnRxTvXOEQ+Yce//yHuz98mdr/39h/Az2Hr/kOdHmHKfquHF4vwdjps5RYIylOeeBPHpy+mKHnD5iXmLUnL2VeWH8TOIdPmCu55pQauuyUujsSONmsTSbFgREUJ4YGblsBrfuzLiid/Z6FedMb6Oqe3ZxDpUKXS6bCWxQeImPyGavkyjJL+OZ9UulqclJqX0j4ifORvaqHnfZCGqCTe9Z2XIcwDeOXdKmTPvhSqGIRYpn2SKFkMv4RB6Dr08q00iFkyZLv9RFJ4++dx3bvv5d7P3yZ31NpDrPkeq4qcbk3LcERQivMsb2Afgzzjl5cARBJJ7wpS0ThqrGLulMlSooFEs1RbdWc/iODm2qa8hrR7zY7Yp1z46dajiSKSJV4xN5/Pi2e9tWijUk8qATHxHGklOFTzXTnwRJfju7B1Zj+4beOqGM7YYpsMT8IE7RGVU0KYpEFdM2Grp7OAyHD6g+W1QCYarPZY3sVThFY7x6eR597zrGJ/K+JlJvTJXqRH+8nn3OMQnGJ/IYfG2y7hk7+Npk08SEJPxzVMtZ3mSM/R1j7LcYY9SLgSCIxNL2kT6iudiNQFVkIM2YcZ0LA/C55T344KNibXZXFkEE5mTShw+clQrDCOW8/pHDgWaKdeIjquiAEO1xkkRJflUDaiJZxBXtiFN0RjWBpPq8EUwjmlGIhNkRz5Ydij59qrYJfieU7Mub7I/MIfPCHsEzOW6yfRg+cLauVAColg4MHzgbS7SPc34SwEnG2L8D8CiA7QDOMMbeBfBnAMY457eaPjCCIAgF5PQRocFQdXSGD5zFb//FGdyadjt2GStt5PAxQGlUqmpuhLOpEoSZKlUaUh/UGb0qw6zMuWufkyzJTySbOBU0xTbiMLDDTi3VOc4myrJiuR0hZCgAcyq+MiVSlZCLLvPAjzMqMhWGD5w1Wj5oloKI4G1cudgzA0e2b6rneqMCYI3COa8wxs4BOAdgA4AcgG0A/gNj7N9yzv8s1gESBEHMQk4fERrC+FG9hIVyp8qIsaMTZ2gk4tBofZ3K6FUZWjlbbV9C6lCIFqZVakTDxtQRM8HLcXY+XxZlqj1Yd4ydwuih87X7d6AvhxMXr2PvsUsNOX5ewk5+931w8wptTZ9z2xtXLjZWGbVSwL33BI9w5gtFHDl3zXNMrTApxhjrBvAlAL8M4KcBvArgX3LOvzP7/c8CeBvVqB9BEETskNM3j8hYKRRjLA7s6uyoGTY6IyOt63I/iy7i0K0QfVARRn2dzjCLKzrSDiRMuCF2TOvN2o0wU0tNHGd7z1Sdg7h7YDXW3d9T5yDemp7ROlz9jnR1r/3wu+/ic5V6p8A+CWeabj/69FoA8ud3Z5rhSz9bjVaqnMI0Y9prlQF46hH581L1XO+OQMzHkA8BHAHwHwH8Jef8jv1Lzvn3GGN/GcvICIIgJJDT1yI02kg9Y6VwO2Y1GGfD4effOC11Qjs7GJYNHcSijIVSueJKE5X1utNJlHvBUW3xYKWAT91luRrXZzMWhp9w9xZ0GmGip1arOShJdaziTmVMIkHTHJN6jv0Q1uSJH8fZj4MoULU8EPzt1Y8x8eKjvsbsd99VY5Kdf1Vquh1ZKwXd9aRqmVPmHDlN+ikHlJHAnY+vckUwrTTDzsdXeY4/Iv4h5/yq80PG2D/gnP89AHDO/1XTR0UQBKGAnL4WQPeSNCEFYM+TDxulVUaNM43qhfEz2Hf8MsqcIzXbrEk4gqo0Uc7nVFl3D6z2lCg3pVSZU92zO9iFYgmDr03Wxq1yRvY8uTrWZslBkO2LaB3i7MvVbOZrKqOOIGmO5DzX48dx9htZtTtXKm5MlWqKk6aOeKNOu85p1NUAqlJPvZxQ1TtLOI+6TA/VsYtTSEjBeQD3SD7/WwA9TR4LQRCEJ23v9IlGtK2KMOiee3VS2Tz7mfVLa45TmjFseLBbmT5kWrsRFcVSGbvenFNbsytG+m1m/I1jl7D32CWkFAqZYVKq8Jqz0U7OiC61y96XKw7mayqjjiCGbztdr2Hgx3HWOYh2RyzbZeFOqYwpw2yKHa+eQgdjNTVKnSMuWhXYl7VPQpngV7gGmEv/9HuNjE/kcevOjOtze7o7AOU7TRe1TliqvKsOgTF2D4AWarBEEMR8ou2dvih8gf7lPfjO+9eV654NWPlGp+B24uJ1qeLZhge7sf9kvvbyLHOOdy/dVM7OAt61HlEjZrqd4wtizHMgcodPIMbXTs6I15j99OMKmzibgScZv4ZvO12vYeDHcVbkI40oAAAgAElEQVQ5iE7xE7/PU86BkuO5pXLEG21V4Fe4ppEImqq5u9OBVE1CtoKIC2PsMqqvngxjzPlS/gkA+5o/KoIgCG/a3ulrNDVSxgcfFbVeXVAXpMK5sk+a+Nwe0RMOop9Z/KQ4frLxZX0KsDQb4Wy0kzMSda+xRghTsbFZJLF2rl2u1zCPranjrHKI/Iif+EF2nhptVRCkLjEoquNiF/ESJDBd05TtqM7tfgtV5U4BB/BDzrn/RoYEQRBNoO2dvsHNK+pSY8JAvKDCNpZTjEkjYAJZ8+xlioJ5Xc1J3CmegHt84xN5fHLbnRLUCKJGMIxcGyvFas5G0LqqJBo3XvU1cdJqRmFSa+da0Xl2EuexlTlEJuInQTBRLvZLMyO9freVsHRNIzjnfw0AjLGf5JxPxT0egiAIU9re6QMgybxvcHVMPiPbKGXOfRkyQgxAxqKMXMY6qhlqvzijDKOHzksd86Cpsl1WCr/35MMA1CqhOnTqnX6dkaQ6A/bt/+b+07gz4z5G/cvj1SNoJaMwqbVzreY8y0jasY0qQh5FqnozI73tElVWwRj7bc75S7P/HWIKJ51z/mLzRkUQBGFG2zt9o4fON6zq6CTEoKELU0PmhfEz2qbAqgnjJNTxyKIMunF94GjUbhKt5LOevhBeMTXQctmMkQKnH2ckaQarE7Ev277+3boavrjVO1sNryhHs6K9qu3ItpXUCLSTpNUlRhUhz0mco2zGkqZyZhUTe06aGelth6iyBz9l+/fS2EZBEAQRgLZ3+pJar6QjXyhi7a63wRhQmCphSTaDjSsX49XvXca0oQN7Y6pU65VkN96jqptLGypoyvo9Af5miJ2RC5l6p92pMjUMozJOkmawqiAHrzG8lB6bEe31s50kR6CdLFI4Ps2IIDkd440rF9dqqe0ZASIrQTzjgPro6gM/kdEKgMmeP7psjuEnzPrTOZ+Xov+paM3izGRw9jy1f+/8rstKobMjjZvFkqtfab5QRJqx2rPYPhb7/g0fOFs7t0EVQ5sF5/zXbf/+lTjHQhAE4RfGY+pnsG7dOn7ixInIt6NqEjvf6F/egx99fAff/9GtSNa/fUMvxt65rKydVPV7Esiid16/ESwbOiiNeDIAF0a2aFtBCGdV5YyGgWr7plFFojXQXcOqaHPY14Cfa61VrssXxs9IlYutFMPo02sidRD81kA7n1n2Ru26VPU0Y/jql+r3xWvb2zf0KoW/VKh6mopjqVKJtlIMn1nW7anmK/YfkCtzimPjdB7rtpVmGP2i/LzGHJlmjLEHTRbknL+v+75Z9g+hJPziWYJoAdo+0kdUiVp6f939PTh4+qr0JZ5mTOq8yWaNsxmrbtbY5IXuFSUc3LxC2bz9nkxH5DPL8yDliQBqrVXsCrtPPVJNq1QJf4Qd7fUTVW6FCPT4RB57JU4IAHzqLrciZNj4rYG2Zxg4HSzd9GqFc9e+eG173/HLvp0+VbmDaAFxU6EIWqpwo3eIPaonS2kfPnAWgL5fbKnMpanvCYlM/wDVU6lzGjiAdHOGQxAEYU4q7gEQ7cHwgbMoKNJGZQaNMIjsTuJUqYJCsYRFGcvXDO7g5hXIWPXvWLtTNdCXw8JO+fzGjakSnn/jjDaNqlEG+nLY8+Rq5LIZMFQjKSYRTKK1GJ/Iu3pm7j+Zx/hEXpmGGHZ6op/tqJZNMYZlQwfRP3I40vvChNFD55XOkup5EwbjE3lthoAO4TTvevOscT257Fx4Od9BRF906ywUS4HbDTm3odpOoVjC8IGzno607Pe62uhmwTlPcc7Ts3+r/pDDRxBEIqFIHxEKhWJJKTggM2h0AjuFYqk2gyuW1aXzmKgTqmawgeaIqrSCCmWriHokFZ1R2qxor5/tqMRIhDORhBo/nZMSVT1fo21txLhMa6dV58dLITRIe4dm9OVcks3g1p2ZhvoLys6tatytWLdPEAQRBxTpI0JjeqasjbjZ8ZrFFqlAz79xBvlCERxzRuj4RL42Ey8iEgBwdGgTXt66FkC1j5Y9UuFlICYppS0OhKErO9aEGbp0yWZFe/1sx7mszIlodiTFieq+ZUBk6dGNtrXZuHKx8bLdXZby/MgyGOw8s35OPNL5PFTdt4ObV8BKR1fOJJ73jbYblJ1blZMbRW9DFYyxv7L9+28YY/9N9qdpAyIIgvABRfqI0JgqVbB9Qy+OnLvmGS0ymXGWzQgXS2XsevMsbpcqrtqOExevY//JvLTmw0tivV36SAUl6W0lWgGv2tJmRXv9bMe+7DKF6FWcEyKy+5YB2LahN7JjqdtfE5XiI+euAVC3WgDUKsZ27BkMzuuqf3lPrZ7PT62b+P+zETSXtytv6prXd3dZdc9vGbLjojruUfQ21PCfbf/+42ZumCAIolEo0jdPeGU2AhY1R85dw9GhTbgwsgVHhzYpjZpGZpxvTJWkDsq+45e1jsueJ1dLe1uRqEpriHokHa/aUtNoTFw0q+7QD7LI5ctb1/oWMPGDan9z2QwqBg6GuGeGn1gFK1X/jLNSDK9sXat9NtoZ6MtJr6t3L92sXT9+a90G+nLSfoBeeD2tb5cqtX/rIrQ7H1+FPU+uVkboVGPz+3kUcM6/afv3n6r+NG1ABEEQPmh7py/KzI8UqrLZ3V1mTXLjgLHqGAf6cti+oTfy7Zk6CQN9OWz92aVIhXh+VDO+YkwDfTmc2vkotm/orRkcdoXF+UwSDf5WQ5daOT6Rx+Brk3Xps4OvTSbK8fNyWuNioC/nOZEUpkMtOw4M1XOWMnih2CO7o0+vqbsegrSY8HLqgkzY6FJHrRRzTchlrDQ+t7xHO077mFTHUERoB/py+OqX1vi63pJ4fTLG/jVj7NuMsbOzf/8qY03MNyUIgvBB26d3RpX5YU9l2T2wGuMTeTz36mSgVBMrxZT97WTLfuquDpdIQGeaYeEC9+ecA2PvXMa6++fSgYSkfBSYOglC6dBwt41QpV7Zx6RSWFx3f8+8dvxMBEBI6MUbVWrl8IGzrntcyOQn5RiaCCIlkbCl/J1plfb+el7PTec9E0ZKr5dT55VWLMO5j85+peI7+3VgUttpn2CTrcN+LPxeb0m7Phlj/x7ALwJ4BcBFAL0A/h2AFQB+I5ZBEQRBaGh7py8KFnamMfHio7XZZfEC2vBgN77z3vU62WtdQ14AyFgp7HnyYWXzZvt6ltheyE4DPZ1KYefjq6qtExx1JMK4BKrpl5XZl/vGlYuljXgbwXTW1UQsQVc/4zyuGSuNpx7J1dX0ic/tY6LaNTleBlVCemS1LI0oGTaTVlCZBeonIFKS50Sj97Q4Dqq2DWnGUOEc2S4LnMNXb1G/kycmfUhNFVv9bNv5ua5Ozzkm8XuvY+H3ekvY9fmvAPwTzvmH4gPG2EEA74KcPoIgEgg5fQGw0impEex8MTMA//Dehfj+j24p13W7VPE0MHLZDI4Obar9v3/ksNJx0RmXzvHuPxlualmXlTJ+IXulgVophq2fWap0Sjmqx8VpvKy7v0dr1FDtmhqdQUXOMqGjmVFg57PXK627EVTrqHCOCyNbfK8vyOSJl1NnGgFrdOLGS3wr7lTLGPh49o/zsx/HMBaCIAhP2t7pM1Fb88vNYskoUsUBvH9tSruMfWbU6+UuDKug/YpkRnuYTJUqeMCmAJjNWPjCmvukap5eBkSZc6y7vwcHT1+V9rtyOsIC4biIY7Vj7BRGD53HxpWLceTcNWXUNWtQlxnEsG2XlEhylhuju8uSXsdJrgc2pdlRYNOWCmHUowZJndQRZPLENFXS61g3OnGjywwxUSNtBxhjD9r++wqANxhjIwA+BLAUwCCAl+MYG0EQhBdt7/RteLAbR9+7Huo6/TS41Tmczl5Tupd7ow2D46BQLNUZCXZj0Cu1tMKr6USyo+c1oywzQr3SWL3mBYIYtu2UEhm28TtfEE6/zOGz0gw7H18Vw6jCpVlRYK9JLzthRZ38pE6aEHTypBm1gV6IVhTznB+gOp9rF2vZ6FhmE4A/aNqICIIgDGl7p++Dj8KNRGSsNDauXIy9xy5pa/UEukijrNeU6uXeaMPgpOCn2bPsqDHAU20zyLG66VFbFcSwbaeUyLCN3/mAbKJG1KK2U2SkGVFgk0kvUWcXZkQ9bPGQOCdPGt227ny28oSWHzjnba94ThBE+9L2Tl/Y6WfFUtmX+Iku0veNY5dw5Nw1IyOindLoGtkXDu8Z5yDr9zJ8ghi2rZISaZKCmjTlvFZA5vQLh0+Wmtxswko9boYj4zWRk7HStfYYAFwiW3Fdq85jvHHlYk+xqaiQTdxYKYap6RksGzroyixxXhteGS5+JrTs6w8ihkMQBEH4p+2dPivNMF2OqG9DCJjOkPpJKU06S7IZ3LozE1i50Mtp8nusTIyuIIZtK6RE+klBTZhyXuJJstMfZupxM6LAuvvZGTUNc98aWZfozShadeQLRYy9cxlbP7NUWuescsKr6zkFW+/z2n6LWmWV4q5zfXueXF37bFHGwq3pmVrqcb5QxLNjp/CHR76PD2/cdu2zTB3ZyZVC0XMywXlM7anP+UIRg69PGh3fuGGMdQD4XwH8DwB+EraUT875P41rXARBECoYj6qRnQfr1q3jJ06ciHw7dmGRVkCW9lV9SZ5G0fnWb0HEjPyuN89K65xMkEVK7IZGV2cat6bN0jtN0+ycBhxQnSXXNVuWpaQ5IxJxY6oYS/gnycd27a63pZMuQccWtWDR8ue/Jc2aSDOG9/Y8VvdZmMe9kXWpjnE2Y+HUzkfrPlOlry708SwD5p4vgLutj/PZo9o3FeJZqaq1rm4jhdulirRtkfi9SV1md5eFiRcf1S4TA3VN1xlj/weq9Xt/BOAlAL8N4NcB/DnnfFi3ombZP4QS5r0IQbQfbR/pazWcM8lzxkDrO3x2B8uk55MKZwTBaTCZGkkiGmFsnDpfEx6vjVZIiUxyNKpZROWwxFUHaRJpUUXZg573qKPAqjR52edhXtONrMtPb0ZV+qofhw+or5n2qif2ezzyhSIG+nJ4VvPslr2nxBkS7zaTeuugE4JN5kkAn+WcX2KM7eKc/z5j7BCA/wfAcLxDIwiCcENOXwKxv5zbRcDFOTMeNF01m7FcxmXQY+SnBmX00HmUHGnCpTL3/H3SUyJV5yHFGMYn8okeexhEqbAah9Nvsj86IaUkpR7bySmu05xkvGGmVTcrRTvMSRbTOmO/z+A0azw4UiyVI2mjFBNdAC7P/rvIGOvinJ9jjPXFOSiCIAgV5PQllHyhqExpakU2rlxc9//BzSsw+Pqky5HSYaUYhp9wS9w3YjCZ/rZdI2KyaBRQjaDsGDuFExevY/dANV2sXXoO2gmisOrnOJg6/bp6Lj/HXLU/wwfOGkV4nD1B7dsV67eLktj7aDr7cmasFIozFXBedRg2PNiNDz4quvZl29e/62qrs31Db+26AyBVTPbTwxQAHviJjLG4y/hEHr/1xmlMKTIs8oViQ6UDUZYd6J6oHOpUWS/KnIcybpNtZzPy/pUJewb9HYCfBfAOgBMAhhljPwaQj2tABEEQOsjpSzDt4vABwL7jl/GNY5dqs7y5bAZbf3Yp/uLdvCuFqbvLwpaH76szKBmAUoXXohR2sYJUAzPHS7IZI0MijBn/hBksAOaO43OvTrqOIUdVYXbd/T0AEFlELE78OvNRRAZV6zxx8XqdcIbJtlTjLhRLtcit6lru7rKkPUFr4hocdaIkThVjZ19Ou8NU5rzOsRP78odHvo/v/+iWayxiPbsHVmN8Io/9J/OuOjHRusW0h6ls+4D7WI5P5PGVV0+h0j6P3zpa4b2yoMMdVUxg39N/C0BcdF8B8H8BuBvAr3n98Pqt6QiHRRAEIYd6zhBNQRga4u98oYix713G9IykBoQD6+7vwcSLj2L7ht6aEID43fNvnMH4RL5mBDRixGxcuRjPv3EG+UIR3LF+O4ObVyBjpes+M63PGp/IY+2ut/Hs2CnP7cTBQF8OFc0xHD5wVhsRa2VUTrvq8yiOg2qd+45f9r0t3SSE+J3qWhaN4mXjKZV5nYhRGBRLZanDJ9h3/LJyPBzAW5NXld+bbl92LEcPnW9bh69V+OHHbqcoac8gzvn3OOfvzv77+5zzn+ecr+ec/00sAyIIgvCAnD4iNlSGZKFYwvNvnMEL42dcKV3A3Iu+0XrHLiuFI+euGRkSA3057HlyNXLZDBiqtUQmKpzCMZWJNyTJadI5C4Viqa3TW/0481EcB9VvVZMZJumZut95XctJOadi/72il2Ef+6TsP1FPEp9BjLFNjLGvM8YOzv79z2IbDEEQhAfk9BGJpFgq45vH3Q6f4Eqh2HDfwmKp4suQGOjL4ejQJry8dS0AYMfYKfSPHNZG67wc02YYLKJR9bKhg8rxmvQp9PO5n23HiV9nPuhx0KH6rUo4Q7etgb4curvk9VD234lr+cLIFhwd2lS3v0kRcxH77xW9DPPYj0/kScw9oURx7zUCY+wrAP4cwHUABwF8BOCbjLHnYhkQQRCEB+T0EYlFl2KV7bKMbTOd8ezXkBCRO9M0TZNG8lFiOt6Bvhy6LPnjoLvLCpTe6vdYxYXOAXLSSJqv33U+s35poG3tfHxVQ2OMuqWEKc+sXwpAP5787ORPED+Nzf5eTEaIXpwtUPLW0tyzIB1omSjuvQZ5DsAmzvlvcs7/T875EKp9+8jpIwgikbS90xeGzHSzECMVYxZ/y2TJ5zMM1bo/E9vMy3g2NSRExOrZsVO+6kp0Tl0zDBY/dTC/9+TDsNL194uVZtj5+KpA6a1Jq8EJg6BpvkHWuXtgdaBtNTJGITakIs1YbZ3bN/TWRRWzGQvbN/TWtttlpSAev2nG0L+8x/hZZlfv1EUvBRxzz0/ZE7+7a25sYhlnnfDwgbOh1y0Sbk7v+jw+fXendplb0+5a7yjuvRD4geP/78Ps1UQQBNF0GI9pWnPdunX8xIkTkW8nSmnsMOhIMXxqQQduFktaRcf+kcMNpzO2Q38kBmDbhl5prZ9A7GeaMTyzfil2D6zGC+NnsO/45br9F83iAX0vNRN1QAbgwsgW1+equsQUq0Yyc5pzHgaq61813jAVRpcNHZSeI9W2iXjxus4zVjoUIzvIdWGq0OnsByojyLOUIXhv0SSj6n8Y5faODm3C+ERe2+QdAD5I3jOCMcbsE+W/CuDnUG3E/iGApQB+B8Bfc87/WLeiB3/6Yf7+352OaJiEAa0TDSCIEGl7p+/B5w+2lBKbyrAyNXpaBTHj3m5GVFBEZKOaYnYK9vZgaQao2hmKiIWsD5qst5kd0RpD9FXLdlngHK4JCJ0jqPtOZVybGOZRYerU/sLX/mudsuRD9y7Et7/yc00cafPROUNhTk4EvS7s5051TZtMKKicTh1i/70clSTR3WWhq7NDeU4bmQS0R0pNSQH42mw9tNe7LM0Y3tvzWKCxRQhjjFUwt+t2x8H+Geeca3NYyemLHXL6iHlJ2/fpW9CRQlHRYDeJqBpDi/+bGB1BXsjNZnDzCpy4eN3V62u+Io6D7Hjo+tfz2jLuPmg6hw8AbkzV91UTPRHF7716xQH63n2yxu9x1uCY9vlyOnwA8P0f3cIvfO2/Bnb8ktij0Ymq/pQBnk66n/0Lel3YG92rHEeRTq0bj65P4Se3Z1wpnlaa1X6/682zdfeJXx66dyE+vHE78sk7K83AefWcWilA9goM6vBZKYbPLOuue96YUAFw4uJ1qWKyE1HP6SQB99GyZm6MIAgiTNq+pq+VHD6BambW9OXGAc8amLgZ6MvhyLlrcQ8jUYi+ZGHRqOPv1SvOq2YvaTU4pjWGqt5xup5yOmSCNjvGTuGF8TOev20mjSi0+hHsCeO60NXieo1H16dw9Ok1yGbmnp3dXRZGv7imNradj69y1b364cMbt/HUI7nQ6rQXds7th6if7O6yAF5tacEhd/gawUozvHPhRqDffvP4JU9xq/7lPbV6TjtJEIbinF90/gFwGcA0gMu2zwiCIBJH20f6WhGGai2YSLtbYqs9M6WR2eioEQYP9cOqJ4n1lkF6xdm/s0dn4sAkJTDq61DVXHzvsUtYd39PYiJ+QSNwOmdatW+NXhfit+LcitTkHWOnkJKkLRZLZTz36iR2jJ3CkmwGTz2Sc6U1i++Gn1ilH1sDt2mxVMaRc9dqdW2Npuzbg5Kco+bMRilIM9WAF1nhVadU935699JNjE/kXecgyHUWJYyxewD8AYB/gaotVWKM/TmA/41zflP3256FeiEbgiCIKCCnL4Fw1Kf5iRlNlvikTW8YgI0rFwOotl1IsnNKqOt+lmhqMpPS583UqA5zvLL0M5VTyYHYDFYZTkfKNH0urqbZwnF0nmfVRIX4PF8oYv/JPPY8WY0mmaT8CkYPnW/YoRLHxX68g9Y2y5ygpNd9e81tqRy5BDZn/48AFgL4xwAuArgfwEuzn/9PcQ2KIAhCBTl9LULSX+SmCIf2L97N49Z0e+xTu5Kx0njqkVxdTZ8gXyji03d3ImOlXd9duVnEC+NnpClazUQWGXCSsdLYuHIx+kcO1xydT9/diR9+PO1a9qF7F2rXpaoZ1E1uNMtgtavX2lVtw0BVI2dSX+eFLlLbwYBPLwqmPmlP65U5Ts+OncLoofOusYZxvjiAvt99G1sevg9vTV5Fodg6E18MjU3WZawUbhrsr+w4e11nMfB5AA9yzqdm///fGWO/AuC9uAZEEASho+1r+ohkQg6fGmePdD8lRGFKktl7xcnG8MOPp3HPXWlXU3fOq4593DVrOgNd1JIJp9ZeJ/Tj22VXHzET9U5V+pkustHZEf0j+IXxM/jGsUu1SFeZc+n5CVoz9cOb8uP8w5vFhuqwnL91MsMbU/+9UihqrxHZWBdlwqmVFiJKreTwAVWH9Wfuuzvw7/c8+bDRMZQ5cglszn4bwGLHZz8J4E4MYyEIgvCEIn0EERFB2lLoZOu9+ov5kWA3WVZEOAb6ckrV2B9+PI00k7ua+45fjjXap4oM2I9x/8hhqaPWs7DTd58wlQOhi2zcmQlPZWN8Il+nLpnNWBh+YpVSIMh5flROq70WThalm1FcRjMceO7VSWl9nUlaq0mkVoeXijFjwD13WVrHyxn1U1zqiaEZys1+VTvtnLh43fMYqhy5oOnHEfLHAL7NGPsa5tI7dwD4o7gGRBAEoYOcPoKIiCBRiHyhiLW73sYX1sz1z1uUscCYXpxHlmapI0zRGF0NVZwS6ybCJGHWCenSz6LuRzk+kcfg65Mo2fp7FIolDL7mdroEzs9V+2yvhdPVu5lsw2tbfpfRkbFSWtGRCgc+vjMDK8U86/TEvjczzT6FapsDPyS96turRY9XP8i4haEcvATgCoBfArBk9t//HsCfxDkogiAIFZTeSRAJo1Cspn6JtLZCsaR1+Lq7rJoEfpiYSqGrIn0AMPjaZGwS6yatAYK2KZARZ/rZ6KHzdQ6fQOfMOM+byT7LWlwEwWRbjdZqmahMliscn7qrw+jeKZbK2ms9TFIMvnO104yF/gyIAtUxFBH4BDl1ShhjaQC7AOzlnP885/xnZv/+T5wnUIaZIAgC5PQRRMtzY6qE33rjNDauXAwrFZ5RanfQOhTr7UgxZSNlwO102J2G8Yk8+kcOY9nQQfSPHI7EGRzoy+Ho0CZcGNkiNSjDdNR0TmanojBT9blfgkTFnOdNdixMtnWXz30wPb6m42mUwlQJR4c24ZWtaz2316y2KmnG4FcktMx55BHlMChzLn1O5QtFPDB0ENu+/t0YRuUPznkZwL8B0FpFmQRBzGvI6UsYuWwm8Y3VieQxVargm8cuudLB0g04gXYHraywQMsV7rtu70qhMYGPMAm7gbzKyZRF4XSf+8VPVCzFgO0bel3nzX4s/Gzr3EuPGTt+aca0x9c+ETB66LxnI3Pds7K7yzJyGsX+mOw/A+qat0dFlH32oiAFuASdVGQzFmY0+3f0vest4fgB+FMA/0vcgyAIgjCFnL4EYaUZBjev8OxjRBAyKnA7Z+UKbyglTUR1vNIg/aSVLclmtI2Wm41XNDAMwkwjlTG4eQUsQ8frvkUZpaMujoXqfLLZbTk599Jj+GBkS+2PLGqWsdL46pfWaB0+50TA/pN5DG5eoXXuVNva+fgqPPVIzjNL8tadmdpkg9h/FSLdOuF6Lk2nAmDacALjkzsznrWHjYjFNJHPAPh9xtgHjLG/YYz9N/En7oERBEHIIKcvIXSmGUa/WDWITPoYEYQpZc4Dp8kJp8QrDVL2vZVmrjQu8ZsENlqOlKjr/Qb6chj94hqjLAGTYywbLwOwbUOvkVMcJIKqmwhQ1bTemCppt3Xk3DVPB6NQLPmOMrfKvFwza/x00TsBY2bLtQhfB/A/A9iJqpLnf7L9IQiCSByk3pkQ/vtLj9X+rZOaBxrrTTXfSDMGzrlvFbx2Qiji2VU0N65cjCPnriFfKNbaNzjl3u1OiZdcuup71W9GD51PWqPlSGmG3LxT2VDV4sPkGIcxXr9Ki41MBKi2ZTqJ4Gwjkc3oWzm0CkeHNuGBoYNxD6NGm2WxvMk5b4mQJEEQBEBOXyLRSc2fuHjdU/Zahgi4tM8kqzdCDU5n9DBUGy7fmp4Jrb7KTlWQgUuNZpHOFpYMfApAOs3q9kNcNyYGeKPtFVTbkH1m0k6h3Wi23Hyjx9jveBu9fnQtL27dmZE6YV71dX7aZdgdxOEnVil7U7YKGSuF/pHDcQ+jDtNeov3Le5owmmAwxjYAeAPApxljHwL4Rc55a18sBEHMC9re6VvQkQq1AXIUOGuudLPsQWuePvtgD965cAOVNptq1SHU4HRcmG3ALTNYAdQ1u5YhnDrVUS1zruw9JTvPIgJ3pVBEtsvCJ7dn6kQdRDQuxeodeNGI27k+P4a3zsh3OqhBerY5t9XIWIk5VM5WM49xGNeHl5Mqc8LENe9nnaoG5mwFgFMAACAASURBVPYI6EBfDicuXsfeY5eansrpvLcDrQPVNMpmZoX0L6++Y3QiNM+sX4oL1z7R1uw9dO9C7P3yZ6MYYlj8BwB/hqqQy6/M/v/nYx0RQRCEASyuljLr1q3jJ06ciHw7SUptUSGU9F4YP4N9xy+jzKviG8+sX+oSXFg2dDCQEdKsdKX+5T049v6NutncNGPY8GA33r1002XQidqbsKNeJjAGXNizpe4zuwFtb4ouM8SE8ZjLZjA1PaN1Du14NSBWjSdOx0iVKiiiqURzcF4PG1cuxv6TeeV91Sz8XB+6a1r13bavf1fqKPQv76lzEGS/P3Hxet1z1etZZF+X16SPDpVzKVjYmcat6eY976Im55i0YqhvLv/QvQvx7a/8HABg/Uvfxg8/npaup7vLwsSLj0Y+3gAwAGCMXQewmHNeZowtAHCRc/4P/KyoWfYPoYS0mIh5CTl9CeCVrWuVaZtOaXWVcaWjM82MldWipH95Dz74qCiNajnrzJoFA+oiezrH00ozLOzskDrPstRKHXEY5l7ojHHVZAPDXLSUiBbZxIjKsWi2M256fcj2weRe0D3HP7BF653rtlIMYHClPD/1SK7u2RN26rXuvJg8a1oVcS517zMAniUKHyTzmSKcvh9zzu+pfcjYdc65r3xUcvpih5w+Yl7S9umdrcDoofP4+5u3pd/tO3655vSNT+Rx7WP5cjqS4PABwLH3b+C9PVXBGlk62N5jl7BtQ29TU6rsPeLuslJaI6xU5li4oHrLOB2/CoAFKYZ7777LyGl1CkcI4ojsyWbdnel5unorwoxGz61M3VJ1nzRbBdX0+tApdDZ6ncvWLUs1LJbKOHLumtYplq3LD16OeP/I4bZz+IDqsX3u1Ull3d6+45ebPKJIuIsx9p9t/1/o+D845/+yyWMiCILwhFo2JIB8oah8SYrPhZOUFAcuCGXOa7LoKgP2GwYO34KO8C/bYqlslMZ1pVBUpskWSxVtjzPZuuzE0bBcl2Zl75sXdcuBdieMc+vHkWu2M256fUTZqsPPOnTLjk/kI8k2yBeKGJ/IR7b+pKATailzbiTkEuUzLwReAvCe7c/vOf7/XnxDIwiCUEORvhah0ZnnpCCiR40YeUGFeVKsKhneiNtsogYoE49QrcuOKgry7NgpjB46H0nUT+XwCcR5IuGVxhg+cLbhCJfq2tO12mgWptdHlBFjP0qdKcawbOigtKZQPKOCoqvl+8rYKaTT8zezTIiWeTl+YUR+o4JzvivuMRAEQQSBnL4WoV1mhoWh68dACwvOq/VFqrrIbMbCnZmK1lnzclb7Rw5jcPMK7HlyNZ5/4zSKJbmD6icKAjSulhkUp6JhUg2xpKBSgVVFh/1MfqjULb3q05qFyfURRauO8Yk8BvpyGNy8wrjNgnA6xH114uL10OqJOdSOXwVApQWzNbxEaUx5Zv1SAN41fc1OTyYIgpgPUHpnC5C0Xks6+pf3eFZI5wtFDG5e0fRKajG7f+vODCzJbDtjwFOP5JDLZsBQdQIXdtanrHkZPnbn7O/+93+O7Rt6XS050ozhqUfcBrJXtMOebtkMnMb4+EQe/SOHsWzoIPpHDic9BavpqFI4d715VvkbPxGugb4c9jy5unZ95rIZ7HlyNXYPrMbRoU24MLIFR4c2JdoxV+2D15h1zwpxTwz05dDdJe/bl2YMDO72OED1vtp77JKxw9fdZUEXrMtlM7G0ebAM3+Zpxoye04IwHL4UmxMl2z2wuiboooJqhQmCIMKHIn0tQCtF+d69VPA0ENKMxdIHS8zuF4olWCmGLiuFKVsk7sZUqTYeobI3fOAsAH9ptfa0vd0Dq7Hu/p666EaZc4x97zLemryKm8VSLTpjkhYa9gz4p+/ulKZ4MqDOGA+7T187okrP1Z1PvxGudoi2BtmHqsiSPGpuvyd2Pr5Kqw66TKEC6vUM6u6y0NXZgSuFIro6O7T1v1PTMx5rc+NUW/Wr0lzhwH2LMp7RTnEsRg+dN3rumjZT94KBYd39cwKXuwdW45vHLyn7EVKtMEEQRPiQ00eEisowsyOMCOEQmaZkhUmpwqXKfuKTfKGIwdcmtY2GddgNUamqYJnXUv6EA7XnydU1g0xl8IU9A378t3/BJeby6bs7cfy3f6FuuShVF9sFvw55d5cV67EzVRM16auXn+3LJu6W7i4LOx9f5WqD4OwxaJqWelvzXBH3hFh/sVSuOSvOnphB0spTDPjk9lwfTue+OgnS12/jysV4YfyMZ9qjjnyh6PksFTXCpoTh8In1iO2Kvqy6Rys9UwiCIMKHnD6i6eQcdWJxOH0mmDh8qplwu3Nm4gwIB0qk56n6mUUxA+508GREqbrYLqgcClmtaMZKY+fjq5o5vDpMI7e65YD6XnP2u+DGVAmDr0/W1idbj93B8Yoc60RsBjevcK2/zHntfrGvz1RkyQ6H+1mgq9sLQjMzHuLkuVerz/pGxXLigjH2r02W45z/SdRjIQiC8AvV9CUMWc1JK5FicEm322knmX+GqjCBl1S9aXTO7kAFrX2KCtU+UO3NHIObV1SbgduwUgzDT6xK1LkE9JFb0+W8FIVLZV5bn4n6sK5mVdYSggHYtqEXA3054/2R3VddHsVwqmAXR3jP6/ng8AFAmbe8EvUvG/zZHtvoCIIgNFCkL0GIegsAvmejk0KFA0xhwmQzFoafWOUydru7rEApUekUQzlg+mWjCINTpKjq0uT8tHCIozn7wzv/Cj++Mze2exakcXrX5+uWGdy8wpXuaqVY2zjwoeH0AWb/H3Utnt/rxjRy22iEVyznd3knXi0hVL/LF4o1RV2xrPNcqOr8BKpofi4GBeJ2oJWzAzjnG+MeA0EQRFDI6UsIacbqZv9PXLyOfccvo8x5aMX0zWJKUX+zcEGH1BDd+fgq3ymeXVYKv/fkw3ju1cmGj404vqbpWk7n1cugdxqs2S4Ln9yeqXOgMlYaG1cubrpYitPhA4Af3ynj4Z1/5XL8VA4NUWX00HmUHHL8ItolUhyjcOiDiOyY9svzWs7L6RGKuSnDZ5gucqy7z3S1ekFTR4HqJS4bt7hf50taZphkHAJaMkQbjlaBMcZgeyJyzoM1kyUIgogQSu9MCAs65izo8Yk89p/M14yNVnL4dMhmeMcn8rMKmf4olioY6Mvhq19a40r7stLMlWaXsdLYvqHX9XkKwD2ZjmqLhi4L2UxV8l3mzyzsTCObsXCzWMLoofOulgW6lgYDfbmarP7Ei49i62eW1lLDRAuHtyavSlPUxPGJomWC0+FTfa5zaJpJkttG6KJiqnYOYYzfNLXRjixdUpZ6rVtO9p2TMufgMH+G+Ykc268FVRsWgd/UUYFs1Ayo9UZsjydzcynOePtDzX6uBIExlmOM/QVj7CMAMwBKtj8EQRCJgyJ9CWGqVMHga1XhgxaveVCSdfTQkomVmLIoY6F/5DCuFIpYlLGQYsCt6ep6FnZ24Atr7sPB01draaMLOmbnNxx2YQVzans3pkrIWGlluunUdBkc8miKn2iLzKkfe+eyUjimUCzhhfEz2H8yH1vLhCQIuSS9bYQuKhal+mmQc+OVLulnueEDZ5XN5514ZS2YHgvntSDasOhSxf2kjt66M6PcJw7UVEeD0JlmSKeYkdJxO2Li/7dI2uz/DWAKwD8D8NcA/imAYQDfinFMBEEQSsjpSxClCq8ZHu3IbZvROz6Rbyg189b0nFHmNM4KxRLG3rlc5+AViiWjVCxdXzXnb4ulMp57Ve2oq4x6aQsHj9pEkeprsv4oME0HjJKkt42Q1W6KqNgORfpyGPd60HNjWmeoW06IqJg6fZUGshbs6bGydNFShaOrswNdnR2+j4ffOj/hHAZxThbffReODm3CAx7bAMzrBnPZDP7+5u2mZIU0o9ygRQTNPgegl3N+izHGOeeTjLFfBfAdAF+PeWwEQRAuyOlLGPlCseVq+Ewpliq1dLbn3zgTaB8Zqumb02X9b3U9+MKkzLk2Wikz6oMY+qpj1awJAp1D0yySEG3UoYuKqXovhuE0R3FuZPWHgHzf/Bz/JdkMpqZnlNG4vt9929XfT4znK6+eqvV2U90POgfpxq07WDZ0sG7s4xN57HrzbG082YyFL6y5z6gGMWg0Kl8oYvnzZsEg023kC0Us6EihPBP9e6MZ76YWef+VUU3rBIACY2wxgB8DiH8GiiAIQgI5fQmkRV54gRg+cBYLF3QETl/lgKfD12yKpTIYk6ctcQDLn/9Ww+dUJTKjchpMRUP6l/fg6HvXpZ871yHqmJqpLGonqmhjmAIrqqjYxpWLpY23N65cHGg7zm0C3qmaJogaW3vkLl8oVlPPGWp1nfbUWl0PPfs1a3dEB1+fdNWIAu7+foLfeuO0tpm3CUI8RIz9xMXrGPve5bpxFIolowbpjT6BonjG3zGolYub/uU9OPb+dXg9wr3aaCSE4wAeA/AXAA4BGANQBHAizkERBEGoaIknK9E+FIqlxERmwkRnw4Vh4KVScnEaWTTHj2jI3i9/Fv3Le1yff+e963jutcm6dew/mcfg5hW4MLKl1kS+mZiKj/ghSoEVO2PvyB0J1ef28ZkI1wz05TC4eQWWZDO4UihKhYa8EMdClqpZqnCXkyZSa1XnZduG3powEgDcNWvID/TlMPrFNcoUPplAkJfao1+KpTL2Hb8sdTyJ6Pjgo6KnwweYib0kgF9GtZYPAJ4FcBjA/wfgl2IbEUEQhAZy+oimQ2aWf8oVjk/d1WHU4NuvmuPT63qxsLPeaOez2zRdRzOIomF9EOVLHSonTeWz6HwZPw5pGM5rEAGpK4Wi8rysu7+nLvp0Y6pUG9NAX05b3+dnYiho9Vc7Z1QkFdPz2gqnhnNe4Jxfn/13kXO+m3P+m5zzq3GPjSAIQgaldxJEi1CYKmHixUc9l/NT++ZXQTXuKG3YTc7DrBPUqYsGoVFxIL8iN0H2WaTWys5L/8hh7Zh0Qih+UnYvjGxB/8hh3zV27Vo7nWRMxW9aQciFMbYAwIsAngHwE5zzRYyxRwH8I875H8Q7OoIgCDcU6SOIFkFnCNsjTCmFwST7vd/oTjPVOpuBan+C7GfYUUM/DmkYzqtun60Uc/XB80qt9RrT4OYVrpRloCrU5FxvRlHjJT4f3LxC26fP/bs0nlm/1NdviMYQ18tD9y70XPaZ9UubMKKGeRnAPwawDXMJLGcB/HpsIyIIgtBATh9BtAA6A9uZ2ieLXqh+78cpaLZaZzMIs05Q5+SoHrS6B7AfhzQM51XVpLy7y8Lo02sw+sU1vlJrvcY00JfD6NNr6ur+urssjH5xjWu9Tz3yU9J1ic9FnWC3rRdol5VCNmOBoarK2d1l1Y1998Bq12+yGQvbN/TW9lMVcUpqIIrN/lE5yXGRZqx2vXz7Kz+ndPwYgO0berF7YHVzBxiM/xHAL3HOv4tqy1dwzvMg9U6CIBIKpXcSRJNJM4YHF3fhBz+6ZVTfmPNQY1RF69KMocK5Vs3RK91qYWcaU9NlLMlmsHHlYoweOo8dY6diUe+MgjCVL3Xqoqo2BYtsDocTP60YwmjbYHIsZK0UVMubjMk0XffIuWvKz51jkLV80O2zbtkXxs9I1Ty3re/Fuvt7MPjapKs9DENVtEY0X+/usmpjUq3PzkP3LsSHN25rI/BWmgG8vjVNxkrXHKsg6a52UgxKtdRsxsKt6RmXCE7GSmG6zF21wABwT6be1Pg3Gx+qnbNFGQuMVdPXl2QzWHe/W1hKEKbSbghMw2FDzbZt+Cie4RAEQeghp48gIoahWnckw9knzI7dWNShijBVOFduV/BxcVr5nX3GXVev1g6OXxj7MLh5hasVgUhVVDVnLzjOe9A2GU6HLdtlgXNgx9ipmsJmo43YnXhdEwN9OZy4eB37jl9GmXOkGcNTj7jXb2LIq65xsc2orkuVs/nW5FUcOXdN2Q+0aFPouW37t7ifvnn8ktKp+v6PbiGbsXCXlao5QjPlMn748dy9WipzdM+e45vFUl0vRROHT7SYUdU1LspY2PLwfdh77JKr7cYX1tyHsXcuu35TLFWUkWsh4iOwnzNnexDV+UvgM+g1AH/KGNsBAIyx+/D/s3f/QVKd573gv2+fOQOnRxI9YyPFdDSACBfZ7ABjzQaUqa0y1JVwwhV3giQTSWzVVu0q+8e9dQtJmbpDTAw4OMxmriXtH6najbayqVphMkJSuiSjBLsWfGuLCOzRnUEUNpQiCYEb2SKBxhLTMD3d7/7RnOb06fc9P7pP/5ie76cqsaZ/nPOe/sV5zvO+zwO8DODvmjEYIiI/QjZpIfvAwICcmKh/O5tlI0fqvg9qDQs6Yi3ZqyqZsHBiZJPnY1T90YDyq/c6upO8IPv1+n5ccASMtexjvkhNpisyP2ZMFKdGapqzO18/VVGdIO+/ewyqiwju7dSSMbGfqwss7GMKcjy6QkLuCx5hM1e6LPfu1JmyIHTDA9248K9ZZRP6WjJlKpZZ/H0qSH3fTacYiplgXSP7Wul6dHqN5+GQz3FL3p7a6/faqn5XWuA3qGxSrxCiE8BfAvhfAMQBTAN4BcB/llLqr6ahcec/pNWiE7SJ6ouZPmqaHRt68cZ76aobtTv5ZcVqne5UraBT7Ib6kxg7er4i6AtSgTGKqX1+oqxy2a7Gjp6vyPzkCrKUafN7j2qtwOlViTWby+OF107jufEpJOImvrg5WxprmIxJkGqv9mciyPHopiY7M0N2D8IwVWbt7JXz2CY+uVo2tTIvZVkAo2pCHyVn9i/I1gtA3QI+AKGDt0IVz3G7fHvdsR/Vb3Wr/QbdDux2Ath5e1rnv8iAV9Gv3vCMCYmI6oJBHzXNwNIe/PD0p5EEfdemc3h+fAr73j6LzHSuYp3Isi9ZgU84qiUAPLOhF8fPXUE6k4UhRFn1Rr8Tal1Qms5ky7Ir9pQs91q/eq518VqvRkVeJ6VBpjrWelLrV4nVDoRUgYQquFRlAwNVexXF5wY5Hq9jc47J/fqFYW/nV9dv+j5WNV2TorMkYeFX129W1Sqj1X6DhBBfA/A/AOgBcBXA/wfg500ZDBFRAK1V4ovmlV1vnqnIbNXCvjIuUVwnYv93OpPFiQ+vVhXw2VX6DCGwY0NvWaU/N4nimh27CqI72+DXKNurN9Xw66dLJzyq7Q71J3FiZBM+Ht2CEyObAgd8uj26b4+yymW78qpWmZpM4wenLpbeu7yU+MGpi2WfiVorcNaa8XA+X9fsPUi2XEpg+PBpJDTfFefx+B2bPabUZBrjPw0f8Dm3w558zWX/XlT7PrTKb5Ao+hsAZwD8KYCtAL4N4H0hxP8tRKvWdiWi+Y5BHzVNFBm+erPPT/JS4o330r7TrZaNHMELr52uql+b18mQbrpZLX3gAOCl7esC3T7Un8SBbX2hSvbPN14npX/65vsVhTsKEvjTN9/3fL4AsPHBxYH2X2vGw/l83dTMoE2zcwUJKeF7kq5rE+Ee0963ztaUhVuSsOZEw+925WzZkKzyc9pCv0F/DOAbADZIKZdKKR+WUvYCeBjFzN//2ugBEREFwemdRAHZJ71+V6p197szMe7pc91VFm2oNsNj7x+AdsqoU1RVLqPSYuXbPafZ7tRU75x2rPOypzA6KyZKAG+8l8bA0h7fY9Ote7MrNXpxB2O6z1ReSlimEeiCzfVsDi9tXxeoBYSuiJE9piAzAizTwOMPJSvWCdvbca/pi5oZA3KtV0eqJdy98M6pRpD1mYMr1G0bWuQ36H8E8J+klD9z3iil/JkQYieAXQD+j6aMjIjIA4M+ohDCnPS6OTMpqvLjZqy6TMQiSz/lVMe9f/u4mh04BdWC5dtL+65l/8fPXamYhhy0mIsu6ARQcZJtGgJdnR1l5f6d29etn0o61vZdzmQR87gIsiRhBXo97MdUG8SL2/uyHz+wtEe5HXtbXtU7qy32FAMw9mQxO27vO95p4MZM68xmuO/uTvzLF7nSsT+1/n68+d4vyy48+D3/kdW/VdW6ykw2VyySg/LPqer1HlzRg4PPPhxq+w32NQD/VXPffwXw/zRwLEREgbFlA1EI9knvC6+dDnXiY2ch7J5rupNlVbbAjBUfq5vd1h03MfmdR8McRiuUP6/JXBt/0NYYy0eOKNeeevV6DCJsQBW0fURqMl3RmxC406oiqgC8/7s/0vayDPvZ91LLvxfu9hvPjU/VtXCUzav9g31fMlHejsL+HGx8cHHgCsoJy8TUnuJrvW7fj6paj+3cxhwkAEAIcV1KuUj7IJ/7AeCBr66RH/3ifa+HUH1xrjfNS4EyfUKIbwL43wEYAP4vKeWo5nFPoNiw9L+XUrIJDbWddCarnarnJZvLV5SLV1FddPdby3RtOofdqTOlgDKhaNrsPvn2qhS6bORIqfFzJpvTTv0MEkgEqTrqRfd8r/Gv2PVOWTbjx2d/VdbY2smv1UdU4mZMmVGJm+XLqmupUOj1fugybu7nbHxwcelztNCMISaKaw91jdXtv//k8GnMOj6ny74cj/Q13fPYauX3bs9jqyPbB4Cqp1gD5VNi9719tiEBH1AM6nSBn31bOpPF8OunAYmyVh1vvJcuXYzyy3I6g7xqC3BFWbiriUwhxEboAwfOoCKiluT74ySEMAD8FYBHAPwSwM+EEG9JKX/uetzdAP4TgFP1GCgR6TkDSudJqz3tceKTq6WT+SDTQZ3bUPU8A+A7vVI1hVT3WBWv53tlN5wVMv3WcF2bzhVPhn3GUqu7F3ZgOlcZeDrXOgHV91ysZrqr6jnO18vZV84uZKRaW3h44mJZwAcAH3x2A8+88m5k0/QOT6jfx8MTFz2PTxcEO5u0R0YUM7WJOjZU1wlyFKpiUNlcHodOXUKhwTN+Wm09bkifAfgbn/uJiFpOkCtSvwvgn6WUHwGAEOLvAPx7VPaj+XMAfwngTyIdIRHVJJvLlxUHqeVqu7NaaLWNt1WPVfF6vld2I6xcXgZugF4tXabRfXu1PReraeweqOeea3t73zpbsT1dw+5aG3nXsg+vIDhMQZe4GUOuIAM1a7fjpkYHfLUKGvg629VUmxHtjps1rcdthWBRSrmsoTskIopIkKAvCeCS4+9fAljvfIAQoh/A/VLKHwohtEGfEOKPUSx3jN7e3vCjJaKqRHkd36taaNDG21Hcb69VqrUIR5B9NfJkM0jxE/d4dMce9L0KKpPNlXoL2vuvhep1dW7beZvOun0/ghBAZvrOdGavIDhIk3bbdK6AhGXixq3cvK/MeW06V9Oax5goTsfVvTc7x6fwJ4dP479o1oK2avGmoJznP1/+rdYfLxG1nyBBn2reeukcUggRA/ASgP/Jb0NSyr8G8NdAsZBLsCESUSvx+uJKFIusDG9e5RuILbJMDI4e0wZSfs83hCh7jr2Wrxpea+Za7WRTNR4dr+OqNlDe9/ZZ3MwVau6zqToO1boz55RiFWfm2n68bmyXbzebD6NN1qE1XUEWs6xen7nZgsRzt9duur9b1WSzW4nz/OeBr67h+Q8RNVyQ5uy/BHC/4+/fBnDZ8ffdAP47AD8RQlwAsAHAW0KIgagGSURzh33ivfHBxdrG22ZM4MbMLNK3T8Lt59hZJMC/cXdeyrLnPLX+fu1jvZiG8MwmeZ1sBrXy3q5Qt3sJOi1TAJ7HNbx5VVVtQq5N5wLtX9drzaY6jlxeVhQuyubyMIP8S+V4vK4RO5u0N9ehU5d8HyMB5XdLl1WuNdtMRDRfBPmn9GcAVgohlgshOgH8EYC37DullNellF+WUi67Pdf9JICtrN5JNH9lc3kcP3cFB7b1IXk722SfbCcTFu5a2FGxTsodSA31J3FgW1/ZWiLVfuzn7B/qw44NvaX9GEJgx4Ze3Hd3p/b53XETY094txaI4mTzx89/oyLAW3lvF378/DcCbyPsfiW8M5FD/UnctVA/2aOW2MiMwbeIS5jXb7bgH0Q66TK+Gx9cXPXFAapd0Ey86rOR0PwO6G4nIqJyvtM7pZSzQoj/COAoii0b/kZKeVYI8V0AE1LKt7y3QETz0eVMVrs+bblmbZDqZO+mz2Iq53P2D/Vh/1Bf2f3uv8OqpY2CUzUBXpjxuCUDjC+jKcYhALz0rXXKSqILOmK+Ux5nA6x/CzO9dEnCKgWRuh6NToamD+bxc1dwYmRTqKbkFB3d++Km+m7pntakVsNERHNOoEkzUsp3pJT/Rkq5Qkr5vdu3fUcV8Ekpv8EsHxH5rScLcnuQqYxhg6+wVNNMg7RRaOR43IKOT5clWZKwSpnWZMKCQDGIPLCtD3u3rvbdf5D3RHUcpiEqppy6j8Xv+C3T0AYW9gWCv9i2RvmeUn0FzbKqPrvXNRcadLcTEVE5NhElmqfMmPBt/F4tv6AjaD86vymAjQi+qm2j4PbMK++WtRgYXNFTVR871XicTdUXWSaEAJ4bn8LY0fPasaYm0/ji5qxyH+lMtlSQ58TIJuVjxo6eV/ZMFChOo6zmOHTVO4f6k2W99WICsMwYbuYKpeN1V+/0ys7q9q17nhkDCjJYlqqRYqJYIKUVOT8XhhB4av392D/U59sIPmGZys9rVBl3IqL5Ssgm/SM2MDAgJybqnxCspcQ0UZS6Og0k4p24nMkiETchZfEqtX3Sem06F3j6E1A8qfq9FT04+dE15KWEANDZEcOtAHPrEpaJvVtXY+9bZwNXJzRjwKwsTqcyhMCX7zLL+swt6IhhZrYQOCgK0gbBaypfcg41dXYHfLZqAz8dd0VMoBgYH9jWF+q19Xuu0+7UmbI+kEGfF8bu1Bllb70dG3qV03fDvA7VPC81mca+t8+G7lWXsEz8u7VfCdwn0I8dTEW1vTC6Og1kZ/Jw/tqYMYHtv3t/6QKE6nutey8B7/eo2vc0QpFVAHrgq2vkR794P6rNUXis5kTzEjN9RA1gB2RBMkWpyTSGD5/2zMJFdbJjl0dXswTdLQAAIABJREFU0Z1QRyVIPzpdRrCBJ3qRaEQDcyBcWfsghVSClMQ/fu5KRRsEXSP3aqQm09og4dCpS8rPqF921uuCg4C+wJDzeOKdHaEv1GSyuUABWtAMXl5KvHryIhYEvNgTpRszldOucwWJH5y8WAoE05ksnhufws7xqdJFmuPnrii3Zwjh+b2OKuNORDRfMegjaoBYTJSyAn593ob6k5j45Kr25DDKDJdXMY033ktjYGlPU0+qeKIXTphKo0ELqfgFh7r77UbuXhc3/N5XO7uj4xVs6S4q6PouTnxyFeM/vaS82OLuF+h8fl5KWKaBhWYsdOZPxTRERWVbP7dmC1U9rx7coac9Ir8einkpfb/XQS4UERGRGoM+ogbIK3qPeWVQjrz/qfL2ZMLCiZFNSE2mPRubB7XsS/oTf2eGo5lBF0/0gguz7kmVRdVts5p9AtB+xoM2vA/akzAMXTbUXi+o4/w+qJ6fzeUjCby6OjuqaggfdL9hMpNR83ov2T+RiKi+GPQRNYkuQ5KaTGszBpcz2cAnzEGc/Oia5/3uq/O17KtZgmSU2sXGBxcr19epit24s6iLLBM3ZmbLggeBO0VdnMVinMVjvLKFzoIwfsGc+0JIajIdKBNpr9uOmzH8xbY1GOpPer7nuu9dkEDIbzxRZNqqCfjCaLViNLa8lFg2cqTq/pVEROSNQR9Rk+gyKM4G5arnhFm35cfvBFAIdVbjhddOA2j9wC/KALkWSU02LEgvvaBSk2m88V66opLm4w/pM6XuLKodLLmrcqYz2bLpxu6/vahec79pqH7TOlWmcwU8/9oUJj65ijfeS2vf8zD9ASl6fpnGDz67gUde/AkDPyKiiAXq00dE0fJqNeC1hmp486pQ67ZqpTs3y0uJXW+eQWoyHfk+o+QVIDdSI3r9qY5VAtrCGSoTn1zFr67fLD03Ku7X3K9PY7XTOguyWNzF6z0f3ryKpfua6Kn19/v2RPzgsxsNGg0R0fzBoI+oAcyYQHfcLGtybU9DGxw9huUjRzA4egypybT2hNjuXxW0sXm9NSN4CquRAbIXXaPzKLONtR6rXUq/XtP/nOPwC4JreX/8GrMP9ScjDWgpnP1DfTiwrX5VgYmISI3TO4nqzDJjOHB7rZGTburh4w8lK6oImjGBvVtXAwje2FzHud6pVulMFstHjlQ0CG+VtXOt1NC53gVpaj3WQ6cuRT0k7Tj8qrLWMgVTN33QuX/ddFtqjKH+JHZ6tIshIqLoMegjqrOergUAUFFtUzf18IenP61sHev4O2gbA1UxCwCBKjY6JSzTs7iEhHrNVysUfKk1QI5SvQvK1HqsUWX4TEMAEmUXLVTj8AqCg1YWdYuJ4vRB55o+1f6HN6/C869NBeqFZ3OucaTqrLy3q+y/ddM4nY8jIqJoCNmkSl4DAwNyYmKi7vuxK7vNBXZD3uTtrMkPT39a90pu1BxBmy872e0a3IIGd5ZpYEFHLNRnyjQExp5YW/VVed2YG6kVqne6s7pAfZrM13KsK3a9ow38kopMrrN6p51dSzo+f7W+5s5jiQVoMxC0eqe97W///Rllg3GVhGVi79bVoZ7TKPcsMPD5rXxDAlKvwNcQAl2dMfzmlvr1cVblTE2m8cJrp5XvqSGADw9siWbA0YpsKegDX10jP/rF+1FtjsLjsl6alxj0tRDVSeDykSO8ukwlAsAiy4QQQGY6h0TcxBc3ZyuyKmGDu3oRAD4ebckTuIYaHD2mrd4ZJChOTaax7+2zpVYeCcvEv1v7FWUQVm2gZa/pUxEAntnQi/1D6rVYz7zyLk58eLX09+CKHhx89uHA+1ZxBm6LFNlmAeCl7euqCia9sojuwMaMCdy1sAOZ6VzpdX1ufKqq32X7N97rIkrCMjG159HS37p/A9zfLb/jioplGnj8oWTps+b8PXJ+7nSBd5DXv0V/Mxj0tQ8GfTQvMehrMQLFNWDTuQKA6jJCRK2i2Zm+VsjyAd6/Qxd8TnBTk2kMv346dA+4ajKJX/uzfyj99qjsUAR+7oDPVkvgFzSA0e3D633XBeBO9pq/ekzpjDt+31Xs7Lo93uW7jiir6AoBfHw7I+aVOasHr9fFDgpV65LHnlxbagmi09Vp4Ox3v6m8b3fqDA6duoS8lDCEwFPr79deiKgDBn3tg0EfzUus3tliJFB2QsCAj+ayZqyds9mBQzqTLa07nAttJtzGjp6vqul3NdVVsx7BCKAu9qIK+LxuDyJoy4YTH16teD/93ne/Akb2FFXLNOoyy8Ir4AOKDd6d75sujrNvt4+3kU3XvfaUzeVx8NTFsoAPKK7x3PvWWd+A+8ZMXvkddVeXzUuJV09exO5UuH6ORETzFYM+onmi0Zc2u+NmU4u4tEqPvlrVUmU17HP9Kn02KrAIM253IO/3vnsdo13wpdo+gVEJc/zNHquK7mMSdMr5vrfPVtymqy5b76qzRETtgkEfUZuz+8I1MmlsmQb2PLa6gXus1Co9+oBikYswtzvV0l4i7HNV/fOcgow3CmHG7Q7k/d533TEmLLM0HbYZnxGnMMff7LHWg7121Ul3waGRGU4iormMQR9RG0smLHw8ugUnRjYhWcfedAnLrGvj8WoEaWKfmkxjcPQYlo8cweDosZqnfuq299T6+5WPX2jGfPc9vHlVsQ1CSALAxgcXBxqfzW4i39WpDvxUxzG4okf5WN3tQfgFn27OwEf3vifiJgZHj+G58SkAErHbL6khBAZX9KBrQQeeG5/C4OgxLDSb+0/jxgcXY92+HwVak97ssboJFNctqnTHzaovHNRy4YSIiBj0EbWk7nh5ELVjQ2/p74Rlojtult1nxipPfExDVPQmq8fpkWUa2Lt1NU6MbCoFmM0O+AB14ODs1xb1mj+74Ipze8Ovn0ZqMo2BpT0wFO/RjZm8776H+pMYe2ItuuNm6baEZZZ9JpIJC4MresreXwngjffSpW16jc+9v7Pf/SZ2bOgtnVAbQiiLuADAwWcfrgjwaq3eaQef9vH5xTXOQE/1vpuGwBc3Z0vHns0VSuul81LixIdXy14Xv7WNOoq3uCo/OHnRdyrkQkNgd+pM1WOtl4WaQjWmIbDnsdX48l2m4lnlElblY3QXTnS3ExFROTZnJ6qDWqqu2gGcqvKgV1XCgycvlqZwdnUa+N4flmfbhvqTmPjkatnjgrgwugWpyTT+5PBpzLoOKtnEiph+lTn9mth7rf2q5nj2vX22ouBKLi9L65PyPh8I3b7t48xM55Svt32/qnBKNpfHvrfPaism2uOztxekOqK7fUTcjKGzw4AAAldIdW/DrgbZHTchJXA9W17+3yvj5Q7k7ffV7h1oCFFVIZxqRFV4K0gYdzMvtS02arXQELhZ5WumC0Lt9+DXn894Pj8mgL1bK6eG7x/qw4/P/qrs+ffd3dnI6p1ERHMagz6iKtgX9FX90TY+uLjqk7GEZeLGzGzpZNjOANmcZezt+yY+uYo33kuXBXK6k8/9Q30YWNpTCoSCntYN9SdbIntnc5f0d75O7sBPN+6o1/yp1iF53R5k337HGaS1wbXpnOcY7Pvcffrs6ogASifWqvYR07lCKbOjex/cx+Tehv1fznHa2zo84f1dsqcSu18LZ5VHCqfagM+PV39Cm+6365lX3q0IGH/9+QyeeeXdmntCEhHNBwz6iKpgn5ekM1m88V661Kw4ncniYJUB34KOGD6/OVtxkuosVKHKTKkCTK+MlTMQWrHrncAnxWF73rkfX2vzcKcosnRLbvdiU93eLO59+x1nlJUbvaoj2kFfkPYRfu9DmBYU2Vzet/WDV+aW5ibV56cerUGIiOYTBn1ENXIHXtVeI781q5/U5dfbSvcc57Q4e52Ve2pdEEEza16Pd75GQTJCXqLI0g1vXlWRJXNOFQwrYZmBS9KrqPbtd5xRVm70q46YmkwH/hx6jate1SbbsYrlfMX3kogoeizkQjRPnPjwKh558ScYfv10qIBv2cgR7ByfCtXzLkjWpZaeeUEqc/pxFwuptero3q2rKwrqmDGhLEphM4Tw3LfueGJCIDWZ9jzeoFUN7QIxXtUR7SA+KK9xRZlJdY45qu2yFmTzLfL4zhARUXUY9BHNIx98diPSoha6K/JBM0LpTLaqVgl+lTmDGupPRlZ1dKg/ibEn15YFkWNPrlUGg7an1t/vuW9d64K8lNj15hlsfHBxZaXKmIBpiEDTdo2YKPVT9KqOGGbqpN/7UG0LCt3YyrZbY/nM7rjZ0H6W89HKe7t8H3PjVuVFqXq0BiEimk8Y9BFR1XTZlTC9s6pplRB1li4qqiByqD+J7b+rDqjGf3rJ87jt41S9ntlcHsfPXal4He5a2BE4sHf+AzCwtKfiHwT7b68gPm7GkLDMwO+DqgWF16fFbkviJICKFhJD/UnctbD6FQvdcROZEBlwCu/l7evw4+e/4RuoqQqAPjnQW3mjx+1ERFSOa/qIqGru5t+2sBUTq2mV0GoVRb0cP3dFeXuuIH2Pe6g/ebuheKXLmWzF67A8QENv1f7Hjp6vaBVQADwr0SYTFk6MbAq8P5vqvVNVIrWzhkP9yUCl+f2CNss08PhDSbzxXlqZuVxU47rMqAgAH49uAYBADdp1z7UFqfIahGUaoTK+7vfSdvDZh0Mfl9dU8rnyO0BE1EzM9BHNIyvv7Ypsah2gD2aSVayvaoXiDanJNAZHj2H5yJGqpp3q1FrYJMwaxrBr26otClNL0RuVKLK3Xsdub2//UB8ObOurWGt5bTqHGzOz1Q4/UrWsaVO9BlFUNrVfvyBZfEOIUGuA3VSzdKNusUJENN+0faavQwCzXKRBVFP1Th3dCZeqMqafZrZKAMJXKPXajru1ha49BBDsuHWVRjc+uBiDo8dwOZNF4nZj80w2V2p27nzsgo6YMovlLAoTpkrsQvPONcOw7Tx0vLK3a/b8I35z687x37PAwPv7vln2GN3r5A4eh/qT2Pf22Yp95PISXZ0GpmfyNa3t27Ght6bG6c64auW9XfjgsxvBnoc72Xfne1LrP4FmTJS9p17fbQF9pj9ogPb0+sopm63YYoWIaC4RskmNawcGBuTExETd95OaTAdqCEvULmICkBKBTr6Xjxyp6YTQa3pfajKNF147HWiqp+rEvNEGR48pTyrDTGHUTVF8/KEkxn92qWKtnRkTGHtybaDjVvU91E1TBFAK/JK3PweA/mS9NMafXkJO1x1bwTQEOmICWdciLHt7Xn0Z7eNJZ7IwRLHwTFLzmXUHfE7u5wQJQP3+XeiOm7hxaxYzHmsj7THXi8Cd7/B3Umcqjr+r08DNXB6qIXYaAlIi1HupHcft3xPn6+x8jZ0XG/zEzRh+/ue/7/v6X3BNTwWK79nw4dNlxxTm+xOByKZIPPDVNfKjX7wf1eYoPBbppXmp7TN9DPhoPgkbPPmdEpqGwNgTawFUBgx+0/v8sgLuoKTZ63KimD6ma6Z+/NwVjD2xtizDmrBM7N26OvBxu7Ngg6PHPDOp9mvrDlhVgXg2l8cPT38a+lQol5fKojHZXB4HT14sfb7cWVN3cGyPR5dd1QV8qucEWevpN80wSBb8gcXxwBm4akgUj+2Fw6eRVwRvN2b0r4lXsBp6HLc3pXqdnb76Z/9QEfy7TecK2J06g/GfXdI+Jm56rDpxfz556k5EFFjbB31E7S6ZsGqeVqfT1dlRtr2wU/js+4NmdJopiuljXoFj1IVnggSj7sd4FYWJuoCJO+xwFuvxWmNWTVGfsM+JYh1YPQM+J1XA1yxer7NfwGc7eOoivBKk2Vn1dsaOnq+4wJDL+xdCIiKiIgZ980it60woGDOmLjnulExYuHFrNtCJdnfc9Mw8VFM9MajrjvFVG7TMlSqbuvVgYYqVNHLdUZA1eLpCL2HW7kUpaNGYaoKyMM9p5msw19UaMPvNiNXdz0IuRES1YfXOeUKg2IfrwugWXBjdEqqPGoUT5IL3si9ZgTMrN3MF7ZQndwXCsPw+B/OpSIKueiSAwBU9o2oaH4SucbvXflOTady4VVmh0jKNsr55tdJ9quzPk9/nyn3/PQv0x2lLhBi/32tHevZ74650G9W/KLrfpDAVbImIqBIzffOERHF9I9c4toYTH14N/NhsLo+EZeJmrlDWRy0GYO/W1TWNw6sQRb2ClXqoV/XIMBU97TFkc/myaawbH1yMsaPn8dz4VGRTcFX7ipsxZGcLkLJ44vz4Q97HYuuOm9jzWPFzFKTiqr0Wsztu4oubsxXFQrrjJras+UpFkRlnZUm/6q7LvnTnRH63ooiJyrXpHJaNHCnt/4enP1VeWOnqNLDu/kU1tzCYr9KZbEWPvSizpk+tv195+/DmVRh+/XTZFE/TEHPmN4qIqNkY9BHNAZlsDqYhUHCc8BgR9NtLaqa52UGDM1j5189v4qZj/6qS+c3gFZgB4dchOukKs7jXEakKk9gtFZzBT7VtILyONy8lzJhAriBLU+PyUuKN99IYWNpTtq5SFejENes2E3ETmelcxdo8Z4EYv2DbWcxFAhVj0lV3/acPryI1mcbEJ1dDT0m/Np3zfM6NmXyoiy7UWB9f+UJ/p+rDSEREgbR9ywb3FUmiuUhXHj5MOwGV39l1RNnHUgBYaBq+2ZBWCPx0rRa648XsqF/PNi9eLS2cBXSmZ2aV6y5175shBL7/repKzeuOV8W5H69jsdsDbHxwMY6fu4J0JlvR68/9+I8dZfVVwZ9dvMfN+Zn1e31/df1mXdsiUGtStWyIoqVKjdiyoX1wfQvNS8z0EbU4O4ujYhcxqHZ6oyrgA4on+0GmvwWZdldvukIOqiAsbJVHXcEPgTtT2rwCMF3AkpcycMbP/d6GmUrn3I/Xc+32AM4MmVeo5VxHpcu06j4/zvfLa0xRNBWn9sFCLkREtWEhF6IWV4C+YMsiy8Tu1Bk8Nz6F9O2T5HQmi53jU1i370dlRUfchRd2p84otxmWV2GTerKPJ2xgoDtJ3J06g+W7jmDZSPH/vvZn/4CNDy6uKPjhlQFz8yqUYwegXuyAyvnehr1Ebe8nquIldsBrF7XRTYENUpBjePMqz6IvLDhFNhZyISKqDYM+ohbR1WkoT4DzBYlcvgAzVnnv57dm8apj3ZRTJpvDrjfPIDWZVgYPUbXvsPfRSM7jUbFMQxsoq04Sd6fOFF9Hxws5nSvgB6cu4vGHkmUVPYMGfJZp4Kn193sGWn5ZO1VAJRF+blL6dp9AZ3XSarkbruuOQZXlNGPlhTeG+pN4ZkNvxXjsIkK6oh7U3lS/J42sjEtE1I4Y9BG1iBszeW1AcWMmj7sWVs7G9mvcbGd5vJph6wTNCgXJWEXN63jsVgt7t64OdJKYmkxrA+CCBI6fu4ITI5vw8egWnBjZpM0+CZRnZBeaMQws7Sm1faiG13TM5O3gNUw2bKg/WTqWKLJooStgKna5f6gPL21fV9EqY6g/if1DfRhc0eO5yZe3r6u5dQk1zsvb1/ledFD9nuhaqsyFHqBERK2Aa/qIWoTftEGvBu1eqi2nvtCMlU7q/cZmT/fzWlMYVVsFQD9FU6C8Wf3EJ1dx6NQl5KX0bGMQZl+6dXoSwK3ZO001rk0XM63VBn2pybT2dU/efv2CtFjQaUaBlFxeKtdUultlOF34V+/Pr/O5XoVh/NjFbNi0vb6CvF+677fX54SIiLwx6CNqEa1WtMIZZPqNzV3YxF2kJEy/uyB0J+fuAiNvvJcuBTdh2hjotgl4t7nQtXeoxtjR88rXXQCl6phBAz5VVk93HGHpKpTq+BXeqKVwTS1BW0wI36qlVJuk67sU5HvsFOWFIyKi+YbTO4moZu6TZHewoyv2sXN8CstGjmDFrndCFZYZ3rwKpqtPobtRs1ePPZtfABITqJgOqltbpAt8qq0uqHueRDFQDrNd1dq4KAq7BFm36OZVeKPWwjWqY3J/TnTs98+5ZtIy594/kaYhlOt/6y3IHjc+uLjs7yDfY5vqs9GM9cRERHMVM31EVBfOoMQvQMlLWVpXt38o4HRIj0bNqcm0NuOTzmSxfOQIliQsJOKmdtps3IzhL7atKctWOhuXL+iI4Xo259uXrtrsk+55drYkzHZfPXmx9PomLBN7t67GUH+ybPprEJYZw8ysLJsuu3+oL3BRIHtNpS5joytc48V+L51ZH/e2D09crGjIbmf0VJlK+6+buQLmEnvaLwD86ZvvY7pB4xcAfm9FD9796Cq8lhkfP3el7O/DExeRy7ueoHm+10UcZvuIiPwx6GtxYadOEbUKZ0YnaIBy6NSlQEHf2NHzFb0LcwVZyuL5rdOzMwW6PM6ODb1l43BPT702nYNlGnhp+7rSeHTHF++sLlu08cHFymDq2o1bWD5yBAurzEJlsjkMHz6NiU+ulk1/DSLrCCLs6bJeAV/CMiEEkJm+ExwD0E71rSYrar+Xz41P4a+Of4CPrkyXglI7s/TfLl6veF6808D0TN7z+OfaL286k8XY0fPY+OBiyAb2n5YovsYrFnfhg89ueI7Ptjt1piIQB+58j92BHPv0ERHVhkFfiytIGdnaG6JGcVfJDFp0JGgA4nUCGGatmy4P4s5I6LIMe986i1uzBc/9eZ0Ee3GPwWZnb7I1ZHFyBRkqw6fj9zpP7Xm04rbB0WPajE0ta/Ikyl9rO3v89/8trRznjZnqCuC0unQmi4OaNi71lM3lA33WU5NpDPUncfCU/mKB6vuty8on4qzcSkQUxNxbsDDP2FexiVqdIYS2lHoUPeKczeVjHo2/o7jy796GbpuZbK7q6plhxxC1Zs0g8ArYdesla9GuwZ2XVs5Q2tl4r4+fat2n7vGcCENEFAyDPiKqmWUa+P631pZ62anW2Dh7xIXlLuKgCljs7OIiTc+2MH3p3CedXsVH6qXe+2x8qY8i3XEtSVjaXmzUPoJczHAXfAGA61n12lvd7UREVI5BH1EbGVzRU3NmJKxqmiS7S7f73a6bsunOLgLAjZnZiseZMaGsMmnGREX1QFUD9ygqXQbhzGZOz8zWtQpjZ0es4Z8VQF/91H7NnRcHdBcQaO6yg/64x5pU1dRmr4sFRETkj2v6iNqEZcZw8NmHS5URGzUt2NkMXUVVqVG1xk8VbPkdS0HKsszh4OixymqAAO5a2FEqzOJs1r79d+/HwNIe395f1VS6DMquPrnxwcUY/9ml0vivTedgxAQSlonr2RzinYZyqmJMwLNios6t2YLniXcUlo0cAXCnIJX9v923q59msrlSf8MXXjuNneNTpcckNe8FzV0xFIP+39l1BLMen1lVNnB48yrsHJ9S3k5ERP4Y9BG1ATMmcGDbGgDFAEXXFN0pYZnIBJgaVUshIV1T9gPb+nBgW59nsOU1dpv7Kr9u6ti16RzW7ftR2fE6m7UHCVzDVroMyl63q6qCmS9ICAG8tH2dtiJpNQGfrVEl/e3Xzf7fa9O5Uj85uwqr+zHOqp7UHiSAP3ltyjPgAwBDkeE+PKEu/HJ44iIvDBARBcCgj2gOE4A2OwWgdNvet85WBHi3ZoOd8J8Y2VTK2ITl1VvLb+qeXxVOVWZQV/1RAMoAN2ifryBjmc3nUY8Y6tp0LlRF0rlClZF1s98fag8S8A34AGBWcSVD1d7B63YiIirHNX1Ec1QyYQVa9zTUn0TXgsrrO40IImrpreX1GN06QtV6MbsJdzX7CTOWuxbWr3T8fO5FNp+PnYiIKCrM9BHNQQKVa1lUa+fsoKhZJ866zFuQ4gu65yYTlnY6pn28ztfBb2pqIm5icPSY55q+INtR9RCLQsIy0bWgY962bqmldx8REREVMdM3Tyw0mlWgnfx0dYaroCgAPLOhV7n+zW5pYK+HSk2mAdS3wp29DxW/So1eqn2uu/qjriIoUCyC8sXNWe3rZlOVkLfZz6m10KYZExXbMGMCe7eublj10Eay1/R5CfpZUT1vcEVPtUOjOukQxf/zo/rnauW9XcrH6m4nIqJyQjaps+nAwICcmJio+36+9mf/0LBiBUTkrTtuYsuar+D4uSsV2ZuV93ZheqZQlnEDoM1e7k6dKavE+dT6+0sVOm2pyTT2vX02dBbOnU10F4GJknNdJqA/3tRkGi+8drppTdVr4a7emXQdbzqT1T5mqD/puaZUVb00YZnYu3U1AOC516bYwLtFXLhdadeveufL29dVZNsHR4+FzvxHLLIrpw98dY386BfvR7U5Co9XwWleavvpnQz4iFrH9elcWVsCpw8+u1H6b2eVT9UJ3e7UmbJql3kpS3/bgV+Q6p867pPLWgI+v+qn7mb1uvWZQ/1JPKcoWd/KLriOTaXWyouq6qWZbK70+XnpW+t8PwcLbvcstFtI5KVEwjIhRP2m7eqYseL+a6nK6rwIkppMY/j108rvnBET6DJj+M2txhQJeuaVd3Hw2YfxR+t78YNTF0MdYy3rg4mIiNM7iaiBCghWtRHwrtx46NQl39trqXhpiPAXghOWWdV0VK/psW5sRB2cszLrgW19ntN8b80WSoG9nUnNZHMND/gAIFeoLeAD7lwE2Z06g7Gj57XfuXxBNizgA4qVNp955V28etI74Nv1ZmUWjM3ZiYhqw6CPiFqW7iq+boqj8/ZaMgDu7XfHvStzWqaBvVtX4+u9i8pu/3rvokDtIIIa3rwKZgTrc02jcv1gO7I/A/Y6z3lwyGUOnbrUcpmwIC0WsooZOrWsDyYionkwvZOI5i7dVXx7Cp7qdudz/ao+6to5uLNCW9Z8Rdk83X7s8OZVmPjkasUJ7YkPr2J3yrvBeOiTcsWAE5aJ1Uvu9jyhtqeZGkIgl5fojpu4lcuHngLvXHv31Pr7ta+Ljnudpb3+zh0cO6vRVismBJaPHEEibkJK79Yd7cheG9kO1U9VlXl1/UmJiKgSgz4iapgYAMMQgaZ4el3F3/BAtzLA2fBAd+m/hzev8lzLZReVOfTTS8i75pr3COX8AAAgAElEQVSlM1kMjh4rnVQeP3dFuQ1nEQnderuDPkFRkOlpdgDkdfL+04+vae+L4c46RTtYvjadK2W+kgkLn2ayCBL+/daihbicyeK3Fi3EwNKeUEGfan1ZJpvDzvEpTHxyNZL1mE7OY52v5mLAp8tCD/UnGeQREVWJQR8RNczTG3oxsLRHGcCoqnfqTvAu/Kv6RNZ5uzMzkM5kK7J6N3MFfHzli4qAz2YXk7H/W/cYmy6M9Qtvg6z58wuA/ArN6II5e2xhAgP7sc7XJyiv9WUHT17EwNIeDPUna1qPCegzwdR8qmqrbk+v723MYIiI5hEGfURzUJCqiG6q5u07A1SDvDC6xbNkvnMsurLqtuPnrmD/UF/NV+uDVvKzMwOqcWVzed/1RV7FZKISZM1frRmvegk7Lq+pmhIoFV6pJTuVTFgtt46N7vAL+GICGFjKHotERFFjIReieUDXvD0oXTVL9+1+TcSjOhkPW8mvlv0Gfa6uSEitxUPaKYDxm8pqH2s11VOd22BFx7mrIMMVNyIiomAY9BHNQctGjmDdvh+VlftPTaYxOHoMy0eOYHD0WNl9+94+W5GVCZqlGRw9pp0q9+W7yqta2uXxdSftUZ2Mh63kV8t+gz632umdUex/rlTi9Ks+ah9rLVMz7Sx2q74krTquVtJOFzp0fnAqXAEkIqJaMegjmqPsAhi7U2eUmbyd41P4N99+B8tGjtRUyMJrqt2vP5+pCDYB4PvfWqvM+N24NRuqL52Os/eaQHFK34Ft+mmjuiDRjx1IWqb6p1J3e5T8sqeWaeDp9b2RtHIIK8hr6DTUn8TYE2vR1Vn5PGfQ7tVTz2889lrQZzb0tlyAlbDMQOPasaEXgyuqn+JomTHPz0M9LhLs2NCL++7u9H1ckO8MM7VERNHjmj6iOe7Vkxe1FRRnAjZCr4VzXWA6k8Xw66cx9sRaPP5QsmJcmWyuNK308MTFsjV1gyt6cPDZh5X7UK1HDMp+bjaXLxX4SAZc05jN5bFzfAr3LDCgCn0PbFsTeBzVcpeqX2SZyOULuDFTzNQu6IhhYGkPBpb2BFqjCRRf6ycHeste0yDr6GIAhKNlg+o9DnI8Q/1J5XtqH6tf5VUnew2fexv7h/pKRYPs100IIDOdAwSgSybGzRg6Owxcz+ZKrR4y2Zy2vYeb83H2fycVhYkOnryo3N6ODb2lKqYA8Mwr7wbqbScAfOxYX+t8fe3juJ7NlX1/VN8pvyqxbpYZw4FtazDUn8T+oT7sTp3BoVOXlNlayzRwYFsfJj65qv3cCPgXNyIiovCEbFKFs4GBATkxMVH3/XgVoCCi+ujqNJDN5bVFG8wYoGoPpwr8dqfOVJwgqlo/2CeUzhNr1Qmz/TgAgYMkL/YJvTuItQ2u6PE8ae92BBZ2UJpwBCjOE/K9b53VVupMWCZuzszipibQN2MCdy3swLXpXFmvPXt/fhVAq9HVaZSCUwDoNAS6FnQgM53DIsvEzOydPoF2VUfhEZAF4Qyw3D0BqbnsgPaRF3+CDz67oX2crlCV+/vsdaGoDiLLjz7w1TVy/9/+kFVKm6fVJgEQNQSDPiJqKRdc2YowgZmzb54qWLR1x03EOzsi62FmB5IH3vk5fv35TOn2++7uxKlvP1Lz75BpCOTzMlAfPSq+H48/lMT4zy4F6glJjXPf3Z1l3xGVexYYeH/fN8tu02U8Gxj4MehrHwz6aF7i9E4iallhq/g5C0AcOnVJ+7hr07lIsz/ZXB7f/vszZVktoLjmcXcqXC87FQYu4WRzee0UQ2ouv4APAH5zq3Jary5bHmTqKxERMegjojoIuv5JZfmuI5CyugbbzgIQfs+NuoG3O+CzeQWfVD8M+IiIiO5g9U4iilQMwDMbej0rBHoV8LPP1cOetLtbNvj1emtUUMDgozlq6fVHRETUbhj0EVFkLDOGF7evw/6hPrz4rXVQVY23TANjT67Dynu7Ituvu2VDajKNhT6l4cMEBfcsMJrSEsHWzH3PRZZpYMMD3c0eBlXpngWVLT10LSxqaW1BRDSfcHonEUXCjAG3ZgvYOT6FF147jQ0PdKOzwygruy8APP5QMTD75bWbkexXAKXiLQBKPQu9yv1bpuHbDsBdQdAugR9V8RcvlhnDQtMoq94ZRaXRRnNX7wyilqnBQLHlwraHknjjvdr7QVL0FhpCW2EWADoEKoq4AMDBZx9udvVOIqI5jUEfEUXC2YIhL6WywIIEcPzcFRw/dyVQD7Yg3I2c7Z58boYQKEhZCqK8AjhVFtDuLzc4eqzugV9P14KyQBYI3z+tFZz97p2Td3dfvo0PLsaR9z8tFdRJWCb2bl1d1nLDFqb6aXfXgqo+XwII3K+QqucV8AHAfYv0jdnbKcBj5U4iajQGfUTUUJcjPKk2Y6KikbNu+wUpy5pXA8Dz41PKNghPrb9fu09V43DLNCALBeUJ7T0LDGU1Qi+qYxjevArDh08jp2t+2OLsoNnJ2YQ8KtV+vmQNz6Xo8D0gIqoPBn1E1FB2Zk6VUfGa2ue+T5cZ0mVrliSsimzT0xt68cZ7v0TW0SD86fW9ymDE+dx4p1EajyFEacqqqi/g1v4kPr7yhTLz2WkIzCgCRXf2EkDpOL0atAcVpFdarV7evq6u29fx+nx5MYTAby1ayExfky2yzGYPgYioLbE5OxE1lB0MqLJlB7b1ed7nDPDcAdzw5lUY6k8q1/TZAZo7cFRtV8VvnaBlGrg1m4cqCefXGsK9vjDImLwazwdR67o5W0xAecz2PtyZ1WoF/R03DYGxJ9YCqPwM+dmxoRcDS3tCP4/CMWPlU8HduuMmJr/zaOMGFFykzdk/+sX7UW2OwmNlLJqXmOkjooZJWGZZMKMK2oLc5w7C0pksdr1ZbIJuP85eA+cMcNzxSTaXx9jR875Bn26doHM7On4tGw5s66s4VgAYHD2mPf7j5654btNPVJf6vGaaSqC0/tEOfJOKYwH0AXxot8djP3ff22dLawa9DK7owcDSntL7HHUPx2ZoRDbXyesCgM0OrHXTqgEgE+D9IiKi8Bj0EVFNkgkLlzNZdPhcwbdMA3u3ri79rVrjFeQ+QB2EOQO4MEVXgqwhqmWdkV8A4T7WIAHtXFn3ZL/29vGrjiXI8QaVK8iyzwBQPh22O25iy5qv4I330mWfnxMfXi2bfqt6v0xDIJ+X2mClWXQZyn+5EX3wZGfpVWtLCxIwYgJ5ReTXHTex57HyqdjPjU8pLz7EOyvbNRARUe3Yp4+IanJiZBNe2r4OHYb3yVrQaZSDo8ewfOQIBkePITWpLruvC3rs2+3tBFmflYibvvtUrbFzszR9Ab2Kwqh4BbRhxuOnWfOb3McS5HjDsD8Du1Nn8Nz4VNn6x2vTORw8dbGq6Zu5Fgz4AODQqUvK11AVfNVq7Oh57H3rrLaYkG6f8c6Osu/+UH9Sm20O2+KDiIiCYdBHRDXzm/6YTFiB182lM1lI3Mn4hAnC7GItw4dPBy7IcX0657vP4c2rYJn6oNYyDfx2t3pMH1/5ItA4bH4BbZDx+DFiAr+3oqfmwK/apvGXM1nfwLzabGZMCCwbOYJXT15UBhZzfNZmhbyUDSs+k85kqyoilM5ksTt1pub9B70oRERElRj0EVHNvE7QLdOoaKugEibjowp67P14ZSJU3Nkb1T6H+pM4sK0PyYQFgeJ0tYRlQqAY0B7Y1ocPPruh3L6qaqcXr4DWPR5VP8Eg8gWJn3/6eU1r+5IJq1Q0JaxE3CwF+DrVZjPn+lq8dvXqyYs1BX5hLgoREVElrukjopqs2/cjz+Dh8YfU6/PcxTu8Mj6qQh+qAihD/UnsHJ+q+ZjSmSz6v/ujsnVIznVi9niu19g6QUXVB9CMCUzPzGL5yBF0dsRwa7b2iYZBCpx4SWeyODwRvoKoZRqQ0rv4TdALBcCdNaWxNii+0u4OnbpUaofS1Wkop3J2adb0+a3jJSIib8z0EVFN/KZ7vfFeuuJqvOqqvU5nR0x5hR8orif8eHQLToxsivzE79p0DsOvnw40dns8UXBmFYHi2rtcQeLadA4SiCTgi4pfFtNORNoZSTsr6hUs248J+n7an4ECA76W5wzKv/eHfTBi5ZlqIybwvT+s7JEJBJv2PJf84NRF/OBU9W1XiIjCYtBHRHWlmi7ptwbQ6dZsIVShj+54dM2dc3kZaOxR93Ub6k+WprDO5VBGymIp/wUdxZP7dCaLvW+d1TbgTiasqgP4RITve7uocvZv3djB/yMv/gQ7x6cqCr9sWN6tfe+DTHsmIiI9Bn1EVHfOq/GpyXQkhSfc27QLPMjbpeOj4h5ro4pmhAmMW1lBAtOOXh6ZbE6b6dv44OLQ29+dKq7r+uLmbNVjbFetlvzc8EA3HnnxJ57rX3Xr/rzW8RIRkT+u6SOiurOvxttTI6MgRHE9YSabK2vA7p5u2tVpwDRiVVUdtC0fOYJFltnQzMlcnbYWhC4WOXjqIl49WZzyZpkxLDQN32bdr5688xxqbT/9+KpnL0+g+H7a6/6chvqTODxxsWxK8dd7F3E9HxFRQMz0EVFdOa/GV5O9GlzRo2xPUJB3AjyvhEZBAnu3rq660qW9/Uw2V3PxkzDm47Q1Z2YqmyuU1jFSe/AL+Gy/s+tIxW27U2cq1pB6ZQaJiKgcgz4iqht3UY4w2StDCOzY0IuDzz5cU3uCbC6PF147PecqO9bai49orppVfFUPnbqkfKzudiIiKsfpnURUN7+6fhM7x6dCtVHYsaG3YnrXUH8Sz9XQisEr4HNODW0ldqBst6VoxTESNYruOzzXLuYQETVLoEyfEOKbQojzQoh/FkKMKO5/XgjxcyHE+0KI/1cIsTT6oRLRXFPNCZmzxYOzQEusDgvqLNPAMxt6S+0RWs1Qf7LUkiDKqqREc40u01/LtG0iovnEN+gTQhgA/grA7wP4GoCnhBBfcz1sEsCAlHINgNcB/GXUAyWi+cFux+Duh1ePK/oLOmL4+MoX+NX1m5FvO0qsTknz3VPr7w91OxERlQuS6ftdAP8spfxISjkD4O8A/HvnA6SUx6WU07f/PAngt6MdJhHNJ5cz2aqKviRu938LevU/k83hxIdXPQPKVsgkjB09j1xBP8ZOo/ljDEqXVTVEbT0WTa5QnxOCZNVVn+b9Q33YsaG39H201/yqKn0SEVGlIGv6kgCcK6V/CWC9x+P/ZwD/UMugiGh+W5KwQrcs6I6bmPzOo6W/l41UVgCsRkFKGEI0de2Q7rUQAD4e3YLB0WMN6x/oZJlGqMDcEALDm1dh15tnyp5nmUap4E/YY7kwuqXs72pfi2TCaspr2EiGEPjwwB9E9t2oZv9Bvte6yrX7h/oY5BERVSnItVHVRTfl2Y8QYgeAAQBjmvv/WAgxIYSYuHLlSvBRElHbsUwDOzb0ahsu6078EpapfM6ex1aX3Ta4oieScS5JWE0vFrHIUmfA7NeokcFKwjIhcKcyaxidHQLPjU9hQUeslNUzhCib0ju8eRXMWPWZy2qrnl67cQvxNk8X5qVsWsAHFJuz+7Ui8Wq47lzjOzh6rLT2dy5wnv98nim2nnh6fW+TR0VE80mQf+F+CcA5af63AVx2P0gI8W8BfBvAVinlLdWGpJR/LaUckFIOLF68uJrxElEbSCYsPP5QEsfPXUE2ly9N2XK2eFCdvFumgb1bV+PAtj4kE1ZZ8OFu0nzw2YdrHqd9AtrMKZ6pyTRuzFSu5zNjxaxZajKtvDKnU+uRTO15FB+PbsGJkU2+jbHt1y0miv/YZHOFUs/DL27OwjTuZFDTmSx2vVnsuTb25NrSVN2whvqT+HrvotDPm84VMB20kRxV5acXrmHZl7yDPl3DdfcaX/vzMlcCP+f5z92JaC5IERGFEWR6588ArBRCLAeQBvBHAJ52PkAI0Q/g/wTwTSnlZ5GPch5q1TLyRNUyhMD3v7UWQ/3J0gmcPcUvL2XZFf7B0WO4nMkiETexoCNWasKezeVL7R8GV/TgxMgmz30OruipaOgcZryPP5TEUH8SE59cxasnL1a1nXsWGPjNrXBrE53Gjp5HLl/5azArJQ5PXAx8fALAMxt6MbC0p2J6ZVAdonza7Mp7uzwf/+GBPwCgnnKpWqNoZ/zcAWXY7NTJj66Fejw1Ri4vfd+bf/pI/XlWrfG1Py9+Fx+IiChA0CelnBVC/EcARwEYAP5GSnlWCPFdABNSyrdQnM55F4DDonhl96KUcmsdx932JObHGhOaH5xrtgD9Cdzet87i1myhdN+16Zx2myc+vFoKBgwh8NT6+yvW+xx89mE888q7ZYGRIQA7hjJjgC65k5cSb7yXxsDSHnx85QvtOJIJC8u+ZGmDL6vTP+hLTaZL/fiWJCwMb15Veq10vwFSIlRAKwG8evJi1cErUNk0+4PPbmgf2+FIKYb5HQu7llOl2dNxSc/vvZGy+H1wB3K6z0UUnxciovkgUHN2KeU7AN5x3fYdx3//24jHRWjsOh0inYRlljJt1TCEqJh+qTtRq3Y/eSlLwYwq8ANQkV0E9AGfzc4keH0XP72exace9//68xnPfbjH5ZzmOJfNyiqL6Qj1SX8YzS68Q7XZ9/bZivd/ieYiqN8aQSIiKmrvVetEVLMggZhunZgZE7jH6sBz41NlhRd0hUlqdejUJe191bSAAPwvvhQkUMtKMK9pa2NHz9ew5blJSpSt1apmzdYDi+NRD4saSJXh163x1RV9ISKicoEyfUREXiSAuBnDdK5QyrIkLBM3ZmZLJ3DODFa96qJ4ZXeqnQZW76wRp61VyubyeP61KTw3PoVYiA+LPU2WsyTaj3NquGoaNBEReWPQR0SRuDUr8fL2daWTst/czMFdqyOby+M/v/E+bs3Wp0qiu8qmc61crMrgrd7TBP2mrc3XAMb+7AR9/VXTd6m9DPUnGeQREVWJ0zuJKBJ5KctKqiuKMwJAoICv2hYJGx7oLv23u8R7tcFbss5rhrymrQ1vXsUf6YCqnb5Lc8dc7tNHRNRsPJ8goshEcdJtmQa+/621pebdbt1xU9vD7cK/3smKRREECAAbH1wM06h+Pup9d3d63j/Un9T2HRzqT+LF7etgtXnT8CjM5+mw7WZBR+Xnfa736SMiajaeSRBRy3BW+tzz2OqKYMs0BLas+Yq2uIzzxD+KaZESwPFzV5R98oK47+5OnPr2I76PG+pP4sTIJmXT86H+JH7x579fc1P1dscqjq3PECJQ5vx/e3xNxW1eBY+IiMgfgz4iagl2hs8OeIb6kxh7Ym1ZBmzsibU4fu6KdhvOE/9qp4g6JRNWqAySZRp4efs6XBjdggujWwIFfEG1WlBjmQYGV/Q0exglummy1DryUirfJzfVuj0WPCIiqg0LuRBRS3D38gPUhRt2jk9pt+Es315rARbTEBjevCpUNciFmmmYK+/tUjYyV0391DVqH968CsOHTyOnWyzZYNlcHmcvf44OUdm0PUp2VVgduxdgDEAsVh7oc41fa+mOmxjqT3p+hwF1n0b26SMiqg2DPiLyFBP6oixRck7T0pVl353SNy3v6jQwdvQ8nhufwpKEVVNTeQFg7Im1AIAbt2YDP+/adA47x6dKJ7X29M4fP/8NZaPy39zMl53gqhq1P3d7ewnLrKkfYD1U+/qG4RXwORUAFFokICa1a9M55ffA7U8On64I+mbz6gBedzsREZVj0EdEnp5e34tXT16s+37SmSyGXz8NSJSyWc7efgBw0GMcM7OFUiYgncnCNATMmKgqMyYBTHxyFW+8l64pW/Trz2ew/ns/xq8/n1Heb69JcvYgc+/PHn0jAiyiVjCr+M7qvkO624mIqByDPiLytH+ozzPoEyg2W48iyaIqmOIs1uC1C3dwl8tLdMdNxDs7qirqcujUpUh69PmdlDrXJHF9EhEREdUDC7kQtYl695PT+Xh0C+rcvxzpTLaqwC0zncOJkU1VVb6sd1N225KEVeo/xsmJREREVA8M+ojaRBQtCqrVqsUU7HG16viAYh9Au/8YEanpTlZ4EkNEFAx/L4nIk1/hhWUjR1oyYLFMo1TNc3jzqpoarNfT8XNXtOsGW3PERI2nK+fTasWNiIhaFYM+ImqKWB0jmmTCwoFtfZj45CpW7HoHO8enlMUhgoii358X3To+AeCl7evqvn+iVqP6zOu+B/x+EBEFw6CPiJqiXtX1BYATI5sw8clVvHryYmltXrVL9Oq9tk839XRJwsJQf7JhawuJWsVT6++vuE33PeD3g4goGAZ9RNSyBIrTNMOwg6hDpy7VYUTRm56ZhelKe9pTU1OTaU7xpHln/1BfxW26QlXNKmBFRDTXMOgjopYlARzY1odkwoIA0B03fYOgT69nsWbPP7ZMBsD0+ZW9Np0DBJCwisdmT00d6k9i7Oh5VvSktrHQELjv7k7fx6Um0xW3bXxwsfKxutuJiKgc+/QRUcuyA7wTI5uQmkxj15tnfIOgggR+c6v6hupRywWoNJHLS3Qt6MDUnkfLbmffPmonN/MSuS9yvo8bO3oeQ/3JstuOn7uifKzudiIiKsdMHxG1LAmUGrOPHT2vrXLZDlQBXiu3miCqRpAMvOq7oLsAwgsjRETBMOgjooYKu0YtnclicPRYS7aFiJIqwBvevCr0mkaiVhak2qbqu+BV8IiIiPwx6COihjGEwMejW0KVWRdobuP5RnD2FHQa6k/iwLbKohbtwDREXdt2UOtZeW+XsjKnUwxQfhdUF0B03xsiIqrEoI+IGsY+4dOd+Ll/kATQ9oVMnIVbVIb6k4GKX7S6lfd2lQryJBMWxp5Yixe/tQ7dcbP0GMuMlYr1dMfNUnGbetixobc0nq5OZlNrEeQ9WnlvF378/Dewf6gPOzb0Ki/8mDHgxe3rlN8F+wKI8zPk9b0hIqJyLORCRA3z6smLePXkxYoTPkMIPLX+fgws7cHY0fO4nMliScLyzPDFhLrXnyEEujpjZcVcOmICswUJIcL167vv7k78yxc5z3VIhhDY8EA3Tn50Tfm47rhZrNCpcWJkk+84Tn37Eaz/3o/x689ngg28RVwY3eL7mCAn7ctGjkQxnJJkwiq1BUhNpjH8+ulIt9+uEpZZVmzILq6kW2trmYYyMNs/1IeBpT0Vz+0wvIPvof4kgzwioiox6COimpiGQC4fLh/nDI7cJ4bOkzrdWr5kwgoULKkEWR9YzfZVJ8CWaWDPY6vxwmunlQFhmGmup779SNnfy0eOhMqC2v3Mqpkqawdvqck09r19thTEJiwTmaw+oB0cPYbhzasw1J9EajKNsaPnkc5kYQiBvJRIJqzS/Y0U74xhxa53Wqatx1zx+c1cqAA8m8tj5/gUdo5P4Z4FBt7f983SfarCTNlcHt/++zMM7IiI6kDIJv2jNzAwICcmJuq+n6ivEBNR9OxM35H3Py0FFPbUTt0UT3H7/0l55/mqps5uqck0hg+fRk6VJnTojpvY89jq0gnoM6+8ixMfXlU+dqEhcFMT+F4Y3YLdqTN49eTFivt2bOj1HLMqUGrmlNdq9m2ZBh5/KIk33ksrM0K6bJAtNZnGzvGp8IOlluMM/Lz+bfb7XjRJZDONH/jqGrn/b39Y+vvp9b1RbZqC4Wpimpe4po+Imi4vJV49ebFsGqR0/a+bxJ2pmvbzd6fOBNthgH/yr03nMPz6aaQm054BHwBtwAcUT25VAR8A7e3AncyhnZmzs1LNzE1Vs+9sLo9Dpy5ppwBmc/lSWw4Vr/tobgnaP/PQqUt1HgkR0fzD6Z1E1DYOnbpUtlZr71tnS9MP7TWAdsYsiFxeaqdmRsXOeCQsE0IAmekcliQs3Lg12zZ9Cf1ev3Qmy1kZ84jfe637vLgvvgyu6MHBZx+OdGxERO2KmT4iahv2yaI9hdO53qwgyx8Tdpv1lsnmcG06B4liEOS1Vo5orqo2uFdl2098eBXPvPJuFMMiImp7DPqIqG3YszbHjp73XbNHRHOHbnq117RrIiK6g9M7iaithK1qSURERNTuGPQRUdtgsEdERERUidM7iYiIqGWwnj4RUfQY9BEREVFLSyasULcTEVE5Bn1ERDW4MLoFL29f1+xhtCXLNGp6bc2YwI4NvTBjzB21AiMmMLiix/dxSxSB3PDmVbBMo+w2yzQwvHlVZOMjImpnDPqIiKqUsEwAwFB/suptGEIdkHTHTXTHzdLfmofNKfYx2MecTFjYsaEXyYQFgeLr2R03IW7fd2BbX9WvbcIyMfbkWuwf6sPYk2tL79V8dt/dnb6P8fqYrby3S/t59dPVaeD7T67FwWcfxo4Nvdrt6AK5of4kDmzrK31Wav18tIKn1/fi6fW9zR4GEc0TbV/IJW7GMJ0rNHsYRBSQEICqNZ5AeaEW59/i9vMa2aXBjAns3bq69HeHAGYDjNvt+99ai11vnilrxG6ZBras+QreeC9duk3K4j5nCzKSgjWDK3oweTFT19/HZMLC5UwWSxIWhjevasgJugDw0vZ1GDt6HjvHp/DCa6eRlxLJhOXZ+7A7bkJK4Ho2hyUJCxsfXIzj565ox5+aTGPf22dxbbp8m0ZMIB/ig2iZhmfwoqtGKwB8PLoFqck0xo6erxhnajKNvW+dLR2zEMCvP59B8vZjACif5+Te9voHvoTpmQIuZ7KwzBiyswVIWQziH1gcxwef3agYp6qB+v6hPuwf6gMA7E6dwaFTl5CXEoYQePyhpPa1GOrX30dERN6EbFDjYbeBgQE5MTFR9/1U2wiWiJpjx4Ze7B/q057M6tiPT2eyMIRAXkplwGWZMWRvBzpxM4bZgsRMvvJ3sDtu4mtfuRsnP7qGvJSICWBBRww3cwXteH5n15GywK9DAP98oHhivnN8qmIfF0a3lI3deaz2sbglLBNCoCLYsMwYFppGxe0q9mvs5vV7KQD83oqesr5o9gm96nlexxb2xF33+qkkLBO3ZgtlQbTzGPiUI5IAACAASURBVFT/4nXHTdzMFSoCb10wlppMY/j108gpPjdAMat1Y6Zy/zrJhIUTI5uU9/V/90fK97Q7bmLyO48qn5OaTGP48Gltr0rTEIBE2f3u401NpisuRvhZeW8XProyXQrgnlp/v/Jz5hyn6oJHi2bwIsu1P/DVNXL/3/6QWb7maYN5E0ThtX3Qt2LXO8g36RiJopSwTM9MRb1cGN0S6OKJ6mTNecKfiJv44uZsoKbpAigLEHanzuDVkxfL7v+9FT34+aefl06IE5aJvVtXK08WH3nxJ8osRFTuWWDgbqtTGaTZmRVd0GIHqPb/6oK6qA26Arhq6T4fL29fp8yEAcWAZcuar+DI+59qg9fMdA4JR/Yt6K/4go4Ybs1ydkcrenn7Ogz1J/HMK+96fvZ0QXAUFxBqwKCvfTDoo3mp7YM+ZvqIqmdPIfPLAOmmv4XNFLhZpoGv9y4KHJyYMYGxJ9eWjaPeAR8RBbfy3q5A30c7U2xTZS9V3/c6YtDXPhj00bzU9mv6iKh6H98+8dKtV7OnL6qMHT1fU8AHANlcPlQ2KleQGDt6vuwkkAEfUesI8n1UFXnZ+9bZilkCuYLE3rfOtuJUUCKilsPqnUSktWzkCAZHj+G/fEtdNl8X8AHAZcVUx0Zo1n6JKBqqJRm6qe3NmPJORDQXMegjIk/pTFa7Hs1r2qeq15ZbDEDULdSC7JeIWle1bSGIiEiPQR8R1YWqmbJpiGKhEhSLNby4fR0+OrDFc4FFkGbOpe3HREWPr5X3doUYNRE1G4uvERFFj0EfUZsyhMCODb14efs6JJuQ/VI1Ux57Yi2m9jyKl7YXp4s+Nz6FwdFjWKRpnN0dN0vNnN1iothywWY347Z7lA2OHsPykSO48vkMV+0TzSGqTJ8u+cekIBFRMCzkQjSH6fqOuUueT3xytazlQaOomim7q3qmM1mYhoAZExV9w/Y8tho6BQncystSGXjd9rnmh2huUWX6dMk/JgWJiIJhpo9oDtOd76QzWQyOHkNqMg0AOHTqUuMG5UNV1TOXl7hrYUdZVtDZ8083/nxB4oXXTpeOEwD2vX225qqhRNQ8CUXmXzdboRmzGIiI5iJm+ojaVDqTxa43zwCobY2MV1P4agou6KprZqZzmPzOo8r7vMafl7J0nED9m5oTUfUMAeR9fo5y+ULFbcObVykLSrnX8BIRkRqDPqI2ls3lMXb0fE3buDVbeQJme2r9/aG3tyRhIa0I/LyqbhpCeAZ+URwnEdWfX8AHADdmKjP1f3X8A+Vj/+r4B+zTR0QUAKd3ErU5VYAVhtdUyWrWCaqqelqm4XnFPkhweTmTZY8+ojala+oepNk7EREx00c0p8VEMQvmLIDipiv20iz2Vfmxo+dxOZPFkoSF4c2rPK/W7x/qAwAcPHlReyxLEhamZ2Y5vZOIiIjIhUEf0RxWkMAiqwPxzg6kM9mKAK/VAj6bqqqnn/1Dfdg/1FdRnRO4kync+9bZqIdKRERENOdxeifRHJeZzuHEyCZcGN2Cl2735LMrYEYR8LmnYjabqv+fXenzOtszELW0jgC1n1SPWXlvl/KxutuJiKgcM31Ec9wiy8S6fT8qVdjsjpt46XbvusHRYzWv6TuwrU9ZNa+ZdJlCXZGYVmaZMdyaLcBjhi5RW1h5bxf+w8aVvr8nf7S+t+I23fP+w8aVkY2PiKidMdNHNMdlsrmylgrXpnMYfr3Yu05VNCWsuVQZL4rjdVt5bxfuWVC/bGdP1wK8+K11uDC6BS9vXwczFr4NRqvSHUn7HCGF8cFnNwJV2VX15dQ9j1V7iYiCYaaPqA3l8hJjR8/jxMgmAMALr52uqVffQkPgpqbW+jOvvIuDzz5c9bZtqck0xo6eL8vUGULgqfX3lwq5+FEVidn44GL88PSn2l6DXlbe24UfP/8NAMCaPf+I39zSVzIVAqjmJU5nstg5PoU/ffN9bHvot6FvkDH36F4OJjXnryCZeNVvle55cy2zT0TULAz6iNqU3b7ADoRUxU++3rsIJz686rutc9/7AywbOaK8L8jz/aiKswDFkz+7LcTA0p5AFT9VUz+9CsA8/lASx89d8d3u+/u+6TlmKQEzJnDXwg5kpnOI+fQWdJvOFapqgUFERETkh0EfUZtyNjvXtUk48M7PA21rzZ5/rMsYbWNHz3v2A/zBqYt447106THpTBa73jwDIPj002paRYQdc64gEe/swOR3HkVqMt1yayGJiIhofmLQRzSHmYZAPi8rpgSahqhodq7KgAUNSrymNUbBr6l6QVY2ic/m8hg7ej5U0FZNqwgd3ZidGdZ9b59l30AiIiJqOhZyIZqD7FYFY0+sxYvb1yFhmaX7uuMmxp5Y27ACLGYEvyLOrGQYfsFiPenG7Lx9z2OrW67lBREREc0/zPQRzTECQCJu4nImi7Gj5zG8eRWm9jyqffwzr7yrXHdnRFRCcTaCyiPDm1cp1/T5iQmB5SNHSgVb7LV5iywTQhR7GC6yTMzM5jGda0yJlHQmW7b+cXBFTyTrHonagYB/IR9V772V93bhg89uBHosERFVYqaPaI6RKLZlkCgGGHZ7BhVdwAcAmmKcoVWbpXNyNlwPIy9l6XV49eRFpDNZSBTbWNivUSaba1jAp8KAL5i4GcOODb1lWWtqPaprRQLFixt+7ru7Ey9tX+f5GGfFXKcfP/+NigBP91giIqrETB/RHJfLS+x7+2zZdE5V+4NaJDVNzwVQsXYwCHt87oIq9jE4m83T3GVnpaUErmdzpfcauFNQx5mVPX7uCvZuXV0xNVlXOdZmmTEIoBTcd8dNfO0rd+PkR9eQl7Ks9Uf/d3/ku87Sbr9h3K7Amrw97olPruLgqYvK1hzu51Tjvrs78S9f5AI/vztu4vp0rmxNrxkrZt/t1zro78CCjhhu+aTtLTOGA9vWYKg/idRkurRmVQL4J5+LG84A7fDExbKLIYMregK1fWGAR0RUPQZ9RG3AeRKra39Qi3inelLAvXd3hl476B6fuxJnajLNgK9N2Flp55S+iU+ullVidb7XduZ671tnK4JEL9lcAZZp4OXt60qfoV1vnikFT3kp8cZ7aQws7cGex1YrW3cc2Nbn+1ke6k8G6hk5OHosUKDVHTex57HKINdJF6R2x01MfufOtG7d9+rxh5I49NNLyBe8A8lbswV0dRr43h/eeR3c28zmCtj15hlMfHIV4z+7hJxjuoBfmPrLazeRmkxj4pOrFdnvEx9exe7UmcD9OImIKDwha2jYXIuBgQE5MTFR9/34XSEmahcJy8T1bPj+cF6SCQsnRjZ5fo8ujG4JtU2vE+JasiQ0NwRZ0+VkmUbgCxj259XrM5Z0rf+stXWHSmoyjefGpwIdp1/A6fXde3n7ulLGVPe9TyYsXL497TkI53h0r2O139NkwsKvrt9UPtcQAh8e+IPQ22ygiFZBAw98dY3c/7c/xNPre6PaJIUT2XtJNJcw6CMiTxdGt3h+j3Zs6A11hX75yJFQJ/1ENH/cd3cnTn37EeV9umnhDcKgr30w6KN5iYVciKgmh05dCvS41GQag6PHGPARkdavP5/B+u/9uOL21GQaO8enSsWa0pksdo5PaYtYERFROQZ9RFSTINO87LVBURWW8cJLuERz268/n6m4bef4lPKxutuJiKjc/9/evQdJVZ55HP8+07Qw4GUAcRNGLl6IbgwCG4wY9oKaROKVuCoqJnEra2prK0m5GnYxWt6CkQ1ltDZxazfJJmpEAlHDkuhGTdBNZIWIAbUwEi9cBxNBHFQYZJh59o9zejjTc7rPmZ6enp6e36eKYqb7XN7Tp7vnPOd53+dV0CdSozJWPeHPwsc2lLWwTCF1Vp4pJERERERqiYI+kRpUn81wxyWTuGv2ZOqzmb5uDtuLZPjK2b7Bg+qYe9YJVXHMIiIiItVCQZ9IP1CfPfhRtcjvuWze8KFZGuqzGEGFvFz1vdyk570pzYTqhbJvubbmtlHoeNLa19pe8kTvIiIiIrVK8/SJ9AO///qnS1531pTGHo17SSqUkGYetblnnRA7N1r+pOyFpJ33LBdc5raZdj0RqYwhGWNfW/FxwIcP7pqpP3xwhnfe79pFPG5ZERHpSpk+kX4mVwXzmHmPMH3BilTV6yYcNazk/S18bEPR59OUTI9m3/KzkWmk6bKZCyLz18tmqmdso8hAtmnBObx829kMSfhM7tnf3uWxF26Z2SXAO3xwhhdumVnWNoqI1Cpl+kSq3BXTDs7llKuCmcuYNTW3cN3DLwLFg68nrpnBJ7/1FK+8uafjsQlHDePVN/ckTqHQ1NzChKOGdVo3Z/pxI1IfR5qMXjFDsnUdx91Qn+XcSR9MnGA79/v1P32RPft7r5DM4YMzHFZ/SGxWMWmew8aw7Wkn8xbpjxob6lm2tolZUxp5+bZgEvZCn4tCFYEV4ImIlE5Bn0iVW/zbrUwdN4JZUxpjq2C2tLax8LENiQHVqceO5PUde2lzJ2PGqceOZOOOPRxIEWm8tqNrwFcp+YEuwPsH2pk6bkTqSeHbeymaamyoZ+W8M4CgnXN/8jytkZ1l6ywxE5tbf+FjG2q6K2o2Y7S1e6+dC6lucTeoMmaxAV41VR4WEakV6t4pUuXa2r2ji2WhoKCpuaVLd89oN9CTbvwF96/a0nGB1ebO/au2pAr4oHDQtPK1Xd07mBIUC3RLXb9colVJb16+vlPAB9Da7ty8fH2qbcV1Yc3WGXX9+Po32vYDYcDXn49Heib/c3vsqKGxy007dnilmtRnLj91bPJCIiJlpEyfSD+wvbmFZWubMCjYBdA5eDd9zeZdPPRcU0ew05tdG3tboekeik0DUcpyxRTKSBxRn2X6ghVsb24peF6aW1qLbnv6ghWcfuIonnx5By2tbdTZwSB72OBBDB5ksZNV9wfRGDj38inTN7Btb27p0tU830tvvBv7+LK1TSx8bEPRLt0iIhJPmT6RfqDOjKtTjvlqaW1j8eqtFZkMvRIKTffQMDSbqqBNOSZrv+OSSbFZuD37D9BUJOBLo6m5hftXbenI4kaDouaW1n4b8InEydRZ0YAP4O29XW+ULFvbxNVL1nV83pqaW7h6ybpUhaxERERBn0i/UKiwQbmWr2ax3R4zxnv7DnS6ALzu4RdjLwB7Oln79ONGxFYfPXTIIFoTSs+DujOKRB0oMdV77dL4aWcKPS4iIp2pe6eI9KmkLlu5n6PL7Hn/QJduk4UK2sya0siazbtYvHorbe4YMPSQDHv3tyVm6CYcNYxFV53WsZ3ctnNZhzTUnVGk5wrdX0lx30VERFCmT6Rfy9ZZ6nnoMnVGbsmMWaepIHqiJ92rcpU5kzJ2s6Y0snLeGWxccA4r553B7gLj5OLG7y1b28RDzzV1ZD+dIBA7PsXchZt27u3Sllyb01KiT0RERPqaMn0i/VRufjdILvff2FDfUSxke3MLHzhiCFPHjeD+VVt63I4000UUW7eUKShGN9THHm+dGcfMe4TRkeONW66ltS1xXBEE1TdzbUkqPlGIEhEiIiLS15TpE+mnmppbOsqfr5x3RtGM0p73D3QUC4lm1IakyBIakC3yTdGT6pilVuYsNE6vzb3j+KLFUXqiKUW1QREpn6ExXziFvoJ0ESMiko6+L0X6sWh3yEJVKo34aQNaWtvYn2LA2cYF5zD+yMJdIXtSHbPQuknbzC+s0puTOWcsudpgT5Srm21/UV/sDkKMrCrh1JQrpo0lk3BOv3HhyV0e+9bsybHLFnpcREQ6U9An0gsqeaGa6w4Zl/0qNq8fpC8yUizoyXUxLUVcm+uzmVTbjI7za+/FaqW9XQl1/qyJwYVwLwau1WDCUcNobKhnX2s7ww7JpB7rmD/hvfRfd82ezPxZE7nj4kk0Frixc9fsybFdu2dNaez0OcmNS9Y8fSIi6WhMn0g3DB+axR12t7QWDaYWXjwpcZxdOW1vbomtctnT/acJRHpy0RXX5lImXC7HsRbS2Ivbzpk/ayLzZ01k+oIVifsalrLyaDVpqM+y7e19HeM39+xvoz6b4fYLJ7Jm866yjC2V6rdm866OKrh3P/lK7DJ3P/lK7Oc/vyBTmzsPPdfE1HEj+mXg98Bqvecr5fJTB1ZvCpFClOkTSamxoZ6bzjsJs+LZs+FDsx1ZqE0LzuGKaWO7ZDXKnQnMdYfMr3JZ6G46kGruukrM95ff5lIu4Ho6F18hFm57QopKn+WQ5jjcnUEpK7ZWi937WgsW7Fm8emsftUoqLXeul61tKth7oNDjxYo+iYhIMgV9IimNH1nP3Aef5+298dMFQDBp+E3nndTpsfmzJnLn7MmdJvZeePGk2GCwFMW6QxYKIoYPzXL7hRMTtz18aLbH7auEuMnTr5g2tuP3hvps4jiifAbMCbuPPXHNjIoEftHjKGRva3uqSeGrSaF7B9ubWypyY0GqQ5t7t6c8ySm16JOIiATUvVOE5LFvAKtef7voBWqu6+c/LVnXMcYul7WKTuydM2tKI1PHjejo2pj20rehPsuwwYNSdYdM6j6ZNMF4sQC3NyRN1J607Mp5ZxTd9i0/W99xTA31WW4+PwjQc11xM2a0uXdMhxGdjH3ne/sLbju3XndtWnBO7LGcfuKojsnku6MSXVHLaXRDfbfe+9L/xWXs0ijUhbsnhaRERAYSBX0y4Bnw8eNG8Lstu4tejCRdgO9rbe9YP1dVE4qPeYsGg3O+9wwrX9uV2N7dLa2su+lTicvF7aOa5TIAaV7D7iybU+x1KPb6LFvbxNwHny+YXavPZvjbjzby0HNNRd8/uTFsaY6llDFuGbMuQXLa91RfUcA38KS5KTHne8+w6KrTOj12+omjYj8Xp584qmxtExGpZereKTWhJ90kHdj0Vgu3XzixaOGSpOd6Ot5k0VWnMf24EYnLlfPOdtqKkYW6Gxbrhthd3Rmzk2bZZWubmL5gBcfMe4TpC1awbG1Tye0qFPBlzLj9wqAIS7HupY0N9bEBX6FjKUWbe8f0Hbljr+aADzRx/UCU5hsn7n375Ms7Ypct9LiIiHSmTJ/0exkzLjt1TGKmpZho9cu5P3m+S5n4bMaYfcoYljy7tUsAkK2zgmXluzveJHp3Oz8DBOmnM0jrslPHpMoqzT3rhF5vS3fG7CQtW0omsLvtAmh3L9qFt6fb766W1jZuXr6e9w+0J34WMnVGm6ZDkAor9R2nMX0iIj2TKtNnZjPNbIOZvWpm82KeH2xmS8LnV5vZ+HI3VKSQdvdOmZZSRKtfLrx4Eg31BwuYDB+aZeFFk5g/ayILL5rUqbhJQ32WhUXmnOpJVi6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      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1st svd comp #\n",
    "plt.figure(figsize=(8,8))\n",
    "sns.jointplot(x=train_df[\"svd_title_1\"].values, y=train_df[\"deal_probability\"].values, size=10)\n",
    "plt.ylabel('Deal Probability', fontsize=12)\n",
    "plt.xlabel('First SVD component on Title', fontsize=12)\n",
    "plt.title(\"Deal Probability distribution for First SVD component on title\", fontsize=15)\n",
    "plt.show()\n",
    "\n",
    "# 2nd svd comp #\n",
    "plt.figure(figsize=(8,8))\n",
    "sns.jointplot(x=train_df[\"svd_title_2\"].values, y=train_df[\"deal_probability\"].values, size=10)\n",
    "plt.ylabel('Deal Probability', fontsize=12)\n",
    "plt.xlabel('Second SVD component on Title', fontsize=12)\n",
    "plt.title(\"Deal Probability distribution for Second SVD component on title\", fontsize=15)\n",
    "plt.show()\n",
    "\n",
    "# 3rd svd comp #\n",
    "plt.figure(figsize=(8,8))\n",
    "sns.jointplot(x=train_df[\"svd_title_3\"].values, y=train_df[\"deal_probability\"].values, size=10)\n",
    "plt.ylabel('Deal Probability', fontsize=12)\n",
    "plt.xlabel('Third SVD component on Title', fontsize=12)\n",
    "plt.title(\"Deal Probability distribution for Third SVD component on title\", fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
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         "marker": {
          "color": "blue",
          "reversescale": true
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       "layout": {
        "title": "Number of words in Description column"
       }
      },
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       "<div id=\"01bd329d-9848-4520-83b3-68ef183ac67c\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"01bd329d-9848-4520-83b3-68ef183ac67c\", [{\"type\": \"bar\", \"x\": [1, 6, 7, 5, 8, 4, 9, 10, 3, 11, 12, 13, 14, 2, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 45, 43, 44, 46, 47, 48, 50, 49, 51, 52, 53, 54, 55, 57, 56, 59, 58, 60, 61, 62, 66, 63, 64, 65, 67, 68, 69, 70, 73, 72, 71, 74, 82, 75, 77, 76, 79, 78, 80, 81, 83, 87, 85, 84, 89, 88, 86, 91, 92, 90, 93, 94, 95, 96, 97, 102, 98, 103], \"y\": [134086, 66341, 65831, 64832, 62604, 59228, 58696, 54663, 53251, 50954, 46716, 42740, 39456, 39401, 36397, 32911, 30899, 27969, 25846, 23932, 22369, 20381, 18899, 17592, 16461, 15607, 14655, 13501, 12755, 11813, 11200, 10454, 9902, 9601, 8832, 8298, 8023, 7371, 7229, 6860, 6391, 6159, 5765, 5719, 5695, 5096, 5087, 4785, 4574, 4512, 4338, 4178, 4055, 3814, 3595, 3552, 3544, 3364, 3301, 3093, 3089, 2930, 2918, 2898, 2752, 2687, 2525, 2449, 2438, 2310, 2180, 2168, 2168, 2062, 2053, 2021, 2000, 1958, 1865, 1840, 1806, 1740, 1697, 1584, 1536, 1500, 1498, 1495, 1451, 1402, 1355, 1338, 1298, 1251, 1200, 1184, 1179, 1173, 1169, 1153], \"marker\": {\"color\": \"blue\", \"reversescale\": true}}], {\"title\": \"Number of words in Description column\"}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<div id=\"01bd329d-9848-4520-83b3-68ef183ac67c\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"01bd329d-9848-4520-83b3-68ef183ac67c\", [{\"type\": \"bar\", \"x\": [1, 6, 7, 5, 8, 4, 9, 10, 3, 11, 12, 13, 14, 2, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 45, 43, 44, 46, 47, 48, 50, 49, 51, 52, 53, 54, 55, 57, 56, 59, 58, 60, 61, 62, 66, 63, 64, 65, 67, 68, 69, 70, 73, 72, 71, 74, 82, 75, 77, 76, 79, 78, 80, 81, 83, 87, 85, 84, 89, 88, 86, 91, 92, 90, 93, 94, 95, 96, 97, 102, 98, 103], \"y\": [134086, 66341, 65831, 64832, 62604, 59228, 58696, 54663, 53251, 50954, 46716, 42740, 39456, 39401, 36397, 32911, 30899, 27969, 25846, 23932, 22369, 20381, 18899, 17592, 16461, 15607, 14655, 13501, 12755, 11813, 11200, 10454, 9902, 9601, 8832, 8298, 8023, 7371, 7229, 6860, 6391, 6159, 5765, 5719, 5695, 5096, 5087, 4785, 4574, 4512, 4338, 4178, 4055, 3814, 3595, 3552, 3544, 3364, 3301, 3093, 3089, 2930, 2918, 2898, 2752, 2687, 2525, 2449, 2438, 2310, 2180, 2168, 2168, 2062, 2053, 2021, 2000, 1958, 1865, 1840, 1806, 1740, 1697, 1584, 1536, 1500, 1498, 1495, 1451, 1402, 1355, 1338, 1298, 1251, 1200, 1184, 1179, 1173, 1169, 1153], \"marker\": {\"color\": \"blue\", \"reversescale\": true}}], {\"title\": \"Number of words in Description column\"}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Filling missing values ##\n",
    "train_df[\"description\"].fillna(\"NA\", inplace=True)\n",
    "test_df[\"description\"].fillna(\"NA\", inplace=True)\n",
    "\n",
    "train_df[\"desc_nwords\"] = train_df[\"description\"].apply(lambda x: len(x.split()))\n",
    "test_df[\"desc_nwords\"] = test_df[\"description\"].apply(lambda x: len(x.split()))\n",
    "\n",
    "cnt_srs = train_df['desc_nwords'].value_counts().head(100)\n",
    "\n",
    "trace = go.Bar(\n",
    "    x=cnt_srs.index,\n",
    "    y=cnt_srs.values,\n",
    "    marker=dict(\n",
    "        color=\"blue\",\n",
    "        #colorscale = 'Blues',\n",
    "        reversescale = True\n",
    "    ),\n",
    ")\n",
    "\n",
    "layout = go.Layout(\n",
    "    title='Number of words in Description column'\n",
    ")\n",
    "\n",
    "data = [trace]\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "py.iplot(fig, filename=\"desc_nwords\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TFIDF Vectorizer ###\n",
    "tfidf_vec = TfidfVectorizer(ngram_range=(1,1), max_features=100000)\n",
    "full_tfidf = tfidf_vec.fit_transform(train_df['description'].values.tolist() + test_df['description'].values.tolist())\n",
    "train_tfidf = tfidf_vec.transform(train_df['description'].values.tolist())\n",
    "test_tfidf = tfidf_vec.transform(test_df['description'].values.tolist())\n",
    "\n",
    "### SVD Components ###\n",
    "n_comp = 3\n",
    "svd_obj = TruncatedSVD(n_components=n_comp, algorithm='arpack')\n",
    "svd_obj.fit(full_tfidf)\n",
    "train_svd = pd.DataFrame(svd_obj.transform(train_tfidf))\n",
    "test_svd = pd.DataFrame(svd_obj.transform(test_tfidf))\n",
    "train_svd.columns = ['svd_desc_'+str(i+1) for i in range(n_comp)]\n",
    "test_svd.columns = ['svd_desc_'+str(i+1) for i in range(n_comp)]\n",
    "train_df = pd.concat([train_df, train_svd], axis=1)\n",
    "test_df = pd.concat([test_df, test_svd], axis=1)\n",
    "del full_tfidf, train_tfidf, test_tfidf, train_svd, test_svd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n",
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 576x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n",
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 576x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n",
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning:\n",
      "\n",
      "The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 576x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1st svd comp #\n",
    "plt.figure(figsize=(8,8))\n",
    "sns.jointplot(x=train_df[\"svd_desc_1\"].values, y=train_df[\"deal_probability\"].values, size=10)\n",
    "plt.ylabel('Deal Probability', fontsize=12)\n",
    "plt.xlabel('First SVD component on Description', fontsize=12)\n",
    "plt.title(\"Deal Probability distribution for First SVD component on Description\", fontsize=15)\n",
    "plt.show()\n",
    "\n",
    "# 2nd svd comp #\n",
    "plt.figure(figsize=(8,8))\n",
    "sns.jointplot(x=train_df[\"svd_desc_2\"].values, y=train_df[\"deal_probability\"].values, size=10)\n",
    "plt.ylabel('Deal Probability', fontsize=12)\n",
    "plt.xlabel('Second SVD component on Description', fontsize=12)\n",
    "plt.title(\"Deal Probability distribution for Second SVD component on title\", fontsize=15)\n",
    "plt.show()\n",
    "\n",
    "# 3rd svd comp #\n",
    "plt.figure(figsize=(8,8))\n",
    "sns.jointplot(x=train_df[\"svd_desc_3\"].values, y=train_df[\"deal_probability\"].values, size=10)\n",
    "plt.ylabel('Deal Probability', fontsize=12)\n",
    "plt.xlabel('Second SVD component on Description', fontsize=12)\n",
    "plt.title(\"Deal Probability distribution for Third SVD component on Description\", fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Target and ID variables #\n",
    "train_y = train_df[\"deal_probability\"].values\n",
    "test_id = test_df[\"item_id\"].values\n",
    "\n",
    "# New variable on weekday #\n",
    "train_df[\"activation_weekday\"] = train_df[\"activation_date\"].dt.weekday\n",
    "test_df[\"activation_weekday\"] = test_df[\"activation_date\"].dt.weekday\n",
    "\n",
    "# Label encode the categorical variables #\n",
    "cat_vars = [\"region\", \"city\", \"parent_category_name\", \"category_name\", \"user_type\", \"param_1\", \"param_2\", \"param_3\"]\n",
    "for col in cat_vars:\n",
    "    lbl = preprocessing.LabelEncoder()\n",
    "    lbl.fit(list(train_df[col].values.astype('str')) + list(test_df[col].values.astype('str')))\n",
    "    train_df[col] = lbl.transform(list(train_df[col].values.astype('str')))\n",
    "    test_df[col] = lbl.transform(list(test_df[col].values.astype('str')))\n",
    "\n",
    "cols_to_drop = [\"item_id\", \"user_id\", \"title\", \"description\", \"activation_date\", \"image\"]\n",
    "train_X = train_df.drop(cols_to_drop + [\"region_en\", \"deal_probability\"], axis=1)\n",
    "test_X = test_df.drop(cols_to_drop, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_lgb(train_X, train_y, val_X, val_y, test_X):\n",
    "    params = {\n",
    "        \"objective\" : \"regression\",\n",
    "        \"metric\" : \"rmse\",\n",
    "        \"num_leaves\" : 30,\n",
    "        \"learning_rate\" : 0.1,\n",
    "        \"bagging_fraction\" : 0.7,\n",
    "        \"feature_fraction\" : 0.7,\n",
    "        \"bagging_frequency\" : 5,\n",
    "        \"bagging_seed\" : 2018,\n",
    "        \"verbosity\" : -1\n",
    "    }\n",
    "    \n",
    "    lgtrain = lgb.Dataset(train_X, label=train_y)\n",
    "    lgval = lgb.Dataset(val_X, label=val_y)\n",
    "    evals_result = {}\n",
    "    model = lgb.train(params, lgtrain, 1000, valid_sets=[lgval], early_stopping_rounds=100, verbose_eval=20, evals_result=evals_result)\n",
    "    \n",
    "    pred_test_y = model.predict(test_X, num_iteration=model.best_iteration)\n",
    "    return pred_test_y, model, evals_result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1303424, 19) (200000, 19) (508438, 19)\n",
      "Training until validation scores don't improve for 100 rounds.\n",
      "[20]\tvalid_0's rmse: 0.235886\n",
      "[40]\tvalid_0's rmse: 0.232749\n",
      "[60]\tvalid_0's rmse: 0.231346\n",
      "[80]\tvalid_0's rmse: 0.230508\n",
      "[100]\tvalid_0's rmse: 0.229953\n",
      "[120]\tvalid_0's rmse: 0.229512\n",
      "[140]\tvalid_0's rmse: 0.229172\n",
      "[160]\tvalid_0's rmse: 0.228852\n",
      "[180]\tvalid_0's rmse: 0.228617\n",
      "[200]\tvalid_0's rmse: 0.2284\n",
      "[220]\tvalid_0's rmse: 0.22825\n",
      "[240]\tvalid_0's rmse: 0.228069\n",
      "[260]\tvalid_0's rmse: 0.227933\n",
      "[280]\tvalid_0's rmse: 0.227798\n",
      "[300]\tvalid_0's rmse: 0.227647\n",
      "[320]\tvalid_0's rmse: 0.227549\n",
      "[340]\tvalid_0's rmse: 0.227415\n",
      "[360]\tvalid_0's rmse: 0.227312\n",
      "[380]\tvalid_0's rmse: 0.227235\n",
      "[400]\tvalid_0's rmse: 0.227146\n",
      "[420]\tvalid_0's rmse: 0.227061\n",
      "[440]\tvalid_0's rmse: 0.22697\n",
      "[460]\tvalid_0's rmse: 0.226882\n",
      "[480]\tvalid_0's rmse: 0.226814\n",
      "[500]\tvalid_0's rmse: 0.226768\n",
      "[520]\tvalid_0's rmse: 0.226731\n",
      "[540]\tvalid_0's rmse: 0.226674\n",
      "[560]\tvalid_0's rmse: 0.226615\n",
      "[580]\tvalid_0's rmse: 0.226544\n",
      "[600]\tvalid_0's rmse: 0.226489\n",
      "[620]\tvalid_0's rmse: 0.226427\n",
      "[640]\tvalid_0's rmse: 0.22638\n",
      "[660]\tvalid_0's rmse: 0.22633\n",
      "[680]\tvalid_0's rmse: 0.226269\n",
      "[700]\tvalid_0's rmse: 0.226236\n",
      "[720]\tvalid_0's rmse: 0.226181\n",
      "[740]\tvalid_0's rmse: 0.226135\n",
      "[760]\tvalid_0's rmse: 0.226082\n",
      "[780]\tvalid_0's rmse: 0.226021\n",
      "[800]\tvalid_0's rmse: 0.225989\n",
      "[820]\tvalid_0's rmse: 0.225958\n",
      "[840]\tvalid_0's rmse: 0.225923\n",
      "[860]\tvalid_0's rmse: 0.225892\n",
      "[880]\tvalid_0's rmse: 0.22584\n",
      "[900]\tvalid_0's rmse: 0.225811\n",
      "[920]\tvalid_0's rmse: 0.225786\n",
      "[940]\tvalid_0's rmse: 0.225757\n",
      "[960]\tvalid_0's rmse: 0.22575\n",
      "[980]\tvalid_0's rmse: 0.225723\n",
      "[1000]\tvalid_0's rmse: 0.225694\n",
      "Did not meet early stopping. Best iteration is:\n",
      "[999]\tvalid_0's rmse: 0.225694\n"
     ]
    }
   ],
   "source": [
    "# Splitting the data for model training#\n",
    "dev_X = train_X.iloc[:-200000,:]\n",
    "val_X = train_X.iloc[-200000:,:]\n",
    "dev_y = train_y[:-200000]\n",
    "val_y = train_y[-200000:]\n",
    "print(dev_X.shape, val_X.shape, test_X.shape)\n",
    "\n",
    "# Training the model #\n",
    "pred_test, model, evals_result = run_lgb(dev_X, dev_y, val_X, val_y, test_X)\n",
    "\n",
    "# Making a submission file #\n",
    "pred_test[pred_test>1] = 1\n",
    "pred_test[pred_test<0] = 0\n",
    "sub_df = pd.DataFrame({\"item_id\":test_id})\n",
    "sub_df[\"deal_probability\"] = pred_test\n",
    "sub_df.to_csv(\"baseline_lgb.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x1296 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12,18))\n",
    "lgb.plot_importance(model, max_num_features=50, height=0.8, ax=ax)\n",
    "ax.grid(False)\n",
    "plt.title(\"LightGBM - Feature Importance\", fontsize=15)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}