SPRINT PROGRAMARIA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Modelo para inferir nota de determinado filme no IMDB</h1>\n",
    "Olá, me chamo <b>Karine</b> e neste projeto da <i>Sprint Programaria</i>, utilizamos um <a href='https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset'> dataset público</a>: realizamos o tratamento dos dados, análise exploratória, criação e treinamento do modelo, e avaliação dos resultados. O objetivo é criar um modelo que prevê a nota de determinado filme no IMDB."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Import das bibliotecas</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from plotnine import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Carregando o dataset utilizado\n",
    "df = pd.read_csv('movie_metadata.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>color</th>\n",
       "      <th>director_name</th>\n",
       "      <th>num_critic_for_reviews</th>\n",
       "      <th>duration</th>\n",
       "      <th>director_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>gross</th>\n",
       "      <th>genres</th>\n",
       "      <th>...</th>\n",
       "      <th>num_user_for_reviews</th>\n",
       "      <th>language</th>\n",
       "      <th>country</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>budget</th>\n",
       "      <th>title_year</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>aspect_ratio</th>\n",
       "      <th>movie_facebook_likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Color</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>723.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>Joel David Moore</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>760505847.0</td>\n",
       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>3054.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>237000000.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>936.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1.78</td>\n",
       "      <td>33000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Color</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>302.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>309404152.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>1238.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>300000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>602.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>Rory Kinnear</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>200074175.0</td>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>994.0</td>\n",
       "      <td>English</td>\n",
       "      <td>UK</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>245000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2.35</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Color</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>813.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>448130642.0</td>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>2701.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>164000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   color      director_name  num_critic_for_reviews  duration  \\\n",
       "0  Color      James Cameron                   723.0     178.0   \n",
       "1  Color     Gore Verbinski                   302.0     169.0   \n",
       "2  Color         Sam Mendes                   602.0     148.0   \n",
       "3  Color  Christopher Nolan                   813.0     164.0   \n",
       "4    NaN        Doug Walker                     NaN       NaN   \n",
       "\n",
       "   director_facebook_likes  actor_3_facebook_likes      actor_2_name  \\\n",
       "0                      0.0                   855.0  Joel David Moore   \n",
       "1                    563.0                  1000.0     Orlando Bloom   \n",
       "2                      0.0                   161.0      Rory Kinnear   \n",
       "3                  22000.0                 23000.0    Christian Bale   \n",
       "4                    131.0                     NaN        Rob Walker   \n",
       "\n",
       "   actor_1_facebook_likes        gross                           genres  ...  \\\n",
       "0                  1000.0  760505847.0  Action|Adventure|Fantasy|Sci-Fi  ...   \n",
       "1                 40000.0  309404152.0         Action|Adventure|Fantasy  ...   \n",
       "2                 11000.0  200074175.0        Action|Adventure|Thriller  ...   \n",
       "3                 27000.0  448130642.0                  Action|Thriller  ...   \n",
       "4                   131.0          NaN                      Documentary  ...   \n",
       "\n",
       "  num_user_for_reviews language  country  content_rating       budget  \\\n",
       "0               3054.0  English      USA           PG-13  237000000.0   \n",
       "1               1238.0  English      USA           PG-13  300000000.0   \n",
       "2                994.0  English       UK           PG-13  245000000.0   \n",
       "3               2701.0  English      USA           PG-13  250000000.0   \n",
       "4                  NaN      NaN      NaN             NaN          NaN   \n",
       "\n",
       "   title_year actor_2_facebook_likes imdb_score  aspect_ratio  \\\n",
       "0      2009.0                  936.0        7.9          1.78   \n",
       "1      2007.0                 5000.0        7.1          2.35   \n",
       "2      2015.0                  393.0        6.8          2.35   \n",
       "3      2012.0                23000.0        8.5          2.35   \n",
       "4         NaN                   12.0        7.1           NaN   \n",
       "\n",
       "  movie_facebook_likes  \n",
       "0                33000  \n",
       "1                    0  \n",
       "2                85000  \n",
       "3               164000  \n",
       "4                    0  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#visualização\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5043, 28)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando o tamanho do dataset (colunas e linhas)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "color                         object\n",
       "director_name                 object\n",
       "num_critic_for_reviews       float64\n",
       "duration                     float64\n",
       "director_facebook_likes      float64\n",
       "actor_3_facebook_likes       float64\n",
       "actor_2_name                  object\n",
       "actor_1_facebook_likes       float64\n",
       "gross                        float64\n",
       "genres                        object\n",
       "actor_1_name                  object\n",
       "movie_title                   object\n",
       "num_voted_users                int64\n",
       "cast_total_facebook_likes      int64\n",
       "actor_3_name                  object\n",
       "facenumber_in_poster         float64\n",
       "plot_keywords                 object\n",
       "movie_imdb_link               object\n",
       "num_user_for_reviews         float64\n",
       "language                      object\n",
       "country                       object\n",
       "content_rating                object\n",
       "budget                       float64\n",
       "title_year                   float64\n",
       "actor_2_facebook_likes       float64\n",
       "imdb_score                   float64\n",
       "aspect_ratio                 float64\n",
       "movie_facebook_likes           int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#tipo de dados encontrados nas colunas\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['color',\n",
       " 'director_name',\n",
       " 'num_critic_for_reviews',\n",
       " 'duration',\n",
       " 'director_facebook_likes',\n",
       " 'actor_3_facebook_likes',\n",
       " 'actor_2_name',\n",
       " 'actor_1_facebook_likes',\n",
       " 'gross',\n",
       " 'genres',\n",
       " 'actor_1_name',\n",
       " 'movie_title',\n",
       " 'num_voted_users',\n",
       " 'cast_total_facebook_likes',\n",
       " 'actor_3_name',\n",
       " 'facenumber_in_poster',\n",
       " 'plot_keywords',\n",
       " 'movie_imdb_link',\n",
       " 'num_user_for_reviews',\n",
       " 'language',\n",
       " 'country',\n",
       " 'content_rating',\n",
       " 'budget',\n",
       " 'title_year',\n",
       " 'actor_2_facebook_likes',\n",
       " 'imdb_score',\n",
       " 'aspect_ratio',\n",
       " 'movie_facebook_likes']"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#colunas presentes no dataframe\n",
    "list(df.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Realizando a Análise Exploratória</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo a coluna com o link do filme no IMDB\n",
    "df.drop('movie_imdb_link', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Color               4815\n",
       " Black and White     209\n",
       "Name: color, dtype: int64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando os valores presentes na coluna Color\n",
    "df['color'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo a coluna color (não é relevante para a análise)\n",
    "df.drop('color', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "director_name                 True\n",
       "num_critic_for_reviews        True\n",
       "duration                      True\n",
       "director_facebook_likes       True\n",
       "actor_3_facebook_likes        True\n",
       "actor_2_name                  True\n",
       "actor_1_facebook_likes        True\n",
       "gross                         True\n",
       "genres                       False\n",
       "actor_1_name                  True\n",
       "movie_title                  False\n",
       "num_voted_users              False\n",
       "cast_total_facebook_likes    False\n",
       "actor_3_name                  True\n",
       "facenumber_in_poster          True\n",
       "plot_keywords                 True\n",
       "num_user_for_reviews          True\n",
       "language                      True\n",
       "country                       True\n",
       "content_rating                True\n",
       "budget                        True\n",
       "title_year                    True\n",
       "actor_2_facebook_likes        True\n",
       "imdb_score                   False\n",
       "aspect_ratio                  True\n",
       "movie_facebook_likes         False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando as colunas com dados faltantes \n",
    "df.isna().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "director_name                104\n",
       "num_critic_for_reviews        50\n",
       "duration                      15\n",
       "director_facebook_likes      104\n",
       "actor_3_facebook_likes        23\n",
       "actor_2_name                  13\n",
       "actor_1_facebook_likes         7\n",
       "gross                        884\n",
       "genres                         0\n",
       "actor_1_name                   7\n",
       "movie_title                    0\n",
       "num_voted_users                0\n",
       "cast_total_facebook_likes      0\n",
       "actor_3_name                  23\n",
       "facenumber_in_poster          13\n",
       "plot_keywords                153\n",
       "num_user_for_reviews          21\n",
       "language                      12\n",
       "country                        5\n",
       "content_rating               303\n",
       "budget                       492\n",
       "title_year                   108\n",
       "actor_2_facebook_likes        13\n",
       "imdb_score                     0\n",
       "aspect_ratio                 329\n",
       "movie_facebook_likes           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando o número de dados faltantes em cada coluna\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo linhas com poucos dados faltantes\n",
    "df.dropna(axis=0, subset=['director_name', 'num_critic_for_reviews', 'duration', 'director_facebook_likes',\n",
    "                          'actor_3_facebook_likes', 'actor_2_name', 'actor_1_facebook_likes', 'actor_1_name', 'actor_3_name', \n",
    "                          'actor_2_name', 'actor_1_facebook_likes', 'actor_1_name', 'actor_3_name', 'facenumber_in_poster',\n",
    "                          'num_user_for_reviews', 'language', 'country', 'actor_2_facebook_likes', 'plot_keywords', \n",
    "                          'title_year'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4737, 26)"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando como ficou o tamanho do dataframe (pequena perda)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "R            2082\n",
       "PG-13        1436\n",
       "PG            681\n",
       "G             109\n",
       "Not Rated     100\n",
       "Unrated        58\n",
       "Approved       55\n",
       "X              13\n",
       "Passed          9\n",
       "NC-17           7\n",
       "GP              6\n",
       "M               5\n",
       "TV-G            3\n",
       "TV-14           3\n",
       "TV-PG           1\n",
       "Name: content_rating, dtype: int64"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando valores existentes na coluna content rating\n",
    "df['content_rating'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "#substituindo valores faltantes por R\n",
    "df['content_rating'].fillna('R', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.35     2311\n",
       "1.85     1884\n",
       "1.37       97\n",
       "1.78       80\n",
       "1.66       63\n",
       "1.33       34\n",
       "2.20       15\n",
       "2.39       14\n",
       "16.00       8\n",
       "2.00        4\n",
       "1.75        3\n",
       "2.40        3\n",
       "2.76        3\n",
       "2.55        2\n",
       "1.50        2\n",
       "2.24        1\n",
       "1.20        1\n",
       "1.18        1\n",
       "1.44        1\n",
       "1.77        1\n",
       "Name: aspect_ratio, dtype: int64"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando valores existentes na coluna aspect ratio\n",
    "df['aspect_ratio'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "#substituindo valores faltantes pela mediana dos valores\n",
    "df['aspect_ratio'].fillna(df['aspect_ratio'].median(), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "#substituindo valores faltantes pela mediana dos valores\n",
    "df['budget'].fillna(df['budget'].median(), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "#substituindo valores faltantes pela mediana dos valores\n",
    "df['gross'].fillna(df['budget'].median(), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "director_name                0\n",
       "num_critic_for_reviews       0\n",
       "duration                     0\n",
       "director_facebook_likes      0\n",
       "actor_3_facebook_likes       0\n",
       "actor_2_name                 0\n",
       "actor_1_facebook_likes       0\n",
       "gross                        0\n",
       "genres                       0\n",
       "actor_1_name                 0\n",
       "movie_title                  0\n",
       "num_voted_users              0\n",
       "cast_total_facebook_likes    0\n",
       "actor_3_name                 0\n",
       "facenumber_in_poster         0\n",
       "plot_keywords                0\n",
       "num_user_for_reviews         0\n",
       "language                     0\n",
       "country                      0\n",
       "content_rating               0\n",
       "budget                       0\n",
       "title_year                   0\n",
       "actor_2_facebook_likes       0\n",
       "imdb_score                   0\n",
       "aspect_ratio                 0\n",
       "movie_facebook_likes         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando se todos valores faltantes foram substituidos ou removidos\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando existência de dados duplicados\n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo os dados duplicados\n",
    "df.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4695, 26)"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando tamanho do dataframe\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "English       4405\n",
       "French          69\n",
       "Spanish         35\n",
       "Hindi           25\n",
       "Mandarin        24\n",
       "German          18\n",
       "Japanese        16\n",
       "Russian         11\n",
       "Cantonese       10\n",
       "Italian         10\n",
       "Portuguese       8\n",
       "Korean           8\n",
       "Danish           5\n",
       "Dutch            4\n",
       "Persian          4\n",
       "Hebrew           4\n",
       "Norwegian        4\n",
       "Swedish          4\n",
       "Arabic           3\n",
       "Thai             3\n",
       "Indonesian       2\n",
       "Dari             2\n",
       "Aboriginal       2\n",
       "Zulu             2\n",
       "None             2\n",
       "Mongolian        1\n",
       "Maya             1\n",
       "Aramaic          1\n",
       "Dzongkha         1\n",
       "Vietnamese       1\n",
       "Kazakh           1\n",
       "Filipino         1\n",
       "Bosnian          1\n",
       "Czech            1\n",
       "Polish           1\n",
       "Telugu           1\n",
       "Icelandic        1\n",
       "Hungarian        1\n",
       "Greek            1\n",
       "Romanian         1\n",
       "Name: language, dtype: int64"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando valores existentes na coluna language\n",
    "df['language'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo coluna language (dados não relevantes)\n",
    "df.drop('language', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "USA               3568\n",
       "UK                 420\n",
       "France             149\n",
       "Canada             107\n",
       "Germany             96\n",
       "Australia           53\n",
       "Spain               32\n",
       "India               27\n",
       "China               24\n",
       "Japan               21\n",
       "Italy               20\n",
       "Hong Kong           16\n",
       "New Zealand         14\n",
       "South Korea         12\n",
       "Ireland             11\n",
       "Denmark             11\n",
       "Russia              11\n",
       "Mexico              11\n",
       "South Africa         8\n",
       "Brazil               8\n",
       "Norway               7\n",
       "Sweden               5\n",
       "Netherlands          5\n",
       "Thailand             4\n",
       "Argentina            4\n",
       "Iran                 4\n",
       "Czech Republic       3\n",
       "West Germany         3\n",
       "Belgium              3\n",
       "Switzerland          3\n",
       "Israel               3\n",
       "Taiwan               2\n",
       "Hungary              2\n",
       "Greece               2\n",
       "Romania              2\n",
       "Iceland              2\n",
       "Poland               2\n",
       "Slovakia             1\n",
       "Cambodia             1\n",
       "Philippines          1\n",
       "Bulgaria             1\n",
       "Bahamas              1\n",
       "New Line             1\n",
       "Soviet Union         1\n",
       "Finland              1\n",
       "Libya                1\n",
       "Kyrgyzstan           1\n",
       "Indonesia            1\n",
       "Chile                1\n",
       "Afghanistan          1\n",
       "Nigeria              1\n",
       "Peru                 1\n",
       "Aruba                1\n",
       "Official site        1\n",
       "Colombia             1\n",
       "Georgia              1\n",
       "Turkey               1\n",
       "Name: country, dtype: int64"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando dados existentes na coluna country\n",
    "df['country'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo coluna country (dados não relevantes)\n",
    "df.drop('country', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "#criando uma coluna Profit\n",
    "df['Profit'] = df['budget'].sub(df['gross'], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>director_name</th>\n",
       "      <th>num_critic_for_reviews</th>\n",
       "      <th>duration</th>\n",
       "      <th>director_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>gross</th>\n",
       "      <th>genres</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>...</th>\n",
       "      <th>plot_keywords</th>\n",
       "      <th>num_user_for_reviews</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>budget</th>\n",
       "      <th>title_year</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>aspect_ratio</th>\n",
       "      <th>movie_facebook_likes</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>James Cameron</td>\n",
       "      <td>723.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>Joel David Moore</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>760505847.0</td>\n",
       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>CCH Pounder</td>\n",
       "      <td>...</td>\n",
       "      <td>avatar|future|marine|native|paraplegic</td>\n",
       "      <td>3054.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>237000000.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>936.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1.78</td>\n",
       "      <td>33000</td>\n",
       "      <td>-523505847.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>302.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>309404152.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>Johnny Depp</td>\n",
       "      <td>...</td>\n",
       "      <td>goddess|marriage ceremony|marriage proposal|pi...</td>\n",
       "      <td>1238.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>300000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "      <td>-9404152.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>602.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>Rory Kinnear</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>200074175.0</td>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>Christoph Waltz</td>\n",
       "      <td>...</td>\n",
       "      <td>bomb|espionage|sequel|spy|terrorist</td>\n",
       "      <td>994.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>245000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2.35</td>\n",
       "      <td>85000</td>\n",
       "      <td>44925825.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>813.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>448130642.0</td>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>Tom Hardy</td>\n",
       "      <td>...</td>\n",
       "      <td>deception|imprisonment|lawlessness|police offi...</td>\n",
       "      <td>2701.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>164000</td>\n",
       "      <td>-198130642.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Andrew Stanton</td>\n",
       "      <td>462.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>530.0</td>\n",
       "      <td>Samantha Morton</td>\n",
       "      <td>640.0</td>\n",
       "      <td>73058679.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi</td>\n",
       "      <td>Daryl Sabara</td>\n",
       "      <td>...</td>\n",
       "      <td>alien|american civil war|male nipple|mars|prin...</td>\n",
       "      <td>738.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>263700000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>632.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.35</td>\n",
       "      <td>24000</td>\n",
       "      <td>190641321.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       director_name  num_critic_for_reviews  duration  \\\n",
       "0      James Cameron                   723.0     178.0   \n",
       "1     Gore Verbinski                   302.0     169.0   \n",
       "2         Sam Mendes                   602.0     148.0   \n",
       "3  Christopher Nolan                   813.0     164.0   \n",
       "5     Andrew Stanton                   462.0     132.0   \n",
       "\n",
       "   director_facebook_likes  actor_3_facebook_likes      actor_2_name  \\\n",
       "0                      0.0                   855.0  Joel David Moore   \n",
       "1                    563.0                  1000.0     Orlando Bloom   \n",
       "2                      0.0                   161.0      Rory Kinnear   \n",
       "3                  22000.0                 23000.0    Christian Bale   \n",
       "5                    475.0                   530.0   Samantha Morton   \n",
       "\n",
       "   actor_1_facebook_likes        gross                           genres  \\\n",
       "0                  1000.0  760505847.0  Action|Adventure|Fantasy|Sci-Fi   \n",
       "1                 40000.0  309404152.0         Action|Adventure|Fantasy   \n",
       "2                 11000.0  200074175.0        Action|Adventure|Thriller   \n",
       "3                 27000.0  448130642.0                  Action|Thriller   \n",
       "5                   640.0   73058679.0          Action|Adventure|Sci-Fi   \n",
       "\n",
       "      actor_1_name  ...                                      plot_keywords  \\\n",
       "0      CCH Pounder  ...             avatar|future|marine|native|paraplegic   \n",
       "1      Johnny Depp  ...  goddess|marriage ceremony|marriage proposal|pi...   \n",
       "2  Christoph Waltz  ...                bomb|espionage|sequel|spy|terrorist   \n",
       "3        Tom Hardy  ...  deception|imprisonment|lawlessness|police offi...   \n",
       "5     Daryl Sabara  ...  alien|american civil war|male nipple|mars|prin...   \n",
       "\n",
       "   num_user_for_reviews  content_rating       budget  title_year  \\\n",
       "0                3054.0           PG-13  237000000.0      2009.0   \n",
       "1                1238.0           PG-13  300000000.0      2007.0   \n",
       "2                 994.0           PG-13  245000000.0      2015.0   \n",
       "3                2701.0           PG-13  250000000.0      2012.0   \n",
       "5                 738.0           PG-13  263700000.0      2012.0   \n",
       "\n",
       "  actor_2_facebook_likes  imdb_score aspect_ratio  movie_facebook_likes  \\\n",
       "0                  936.0         7.9         1.78                 33000   \n",
       "1                 5000.0         7.1         2.35                     0   \n",
       "2                  393.0         6.8         2.35                 85000   \n",
       "3                23000.0         8.5         2.35                164000   \n",
       "5                  632.0         6.6         2.35                 24000   \n",
       "\n",
       "        Profit  \n",
       "0 -523505847.0  \n",
       "1   -9404152.0  \n",
       "2   44925825.0  \n",
       "3 -198130642.0  \n",
       "5  190641321.0  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando se foi criada corretamente\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "#criando coluna Profit Percentage\n",
    "df['Profit_Percentage'] = (df['Profit']/df['gross'])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
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       "      <th>num_critic_for_reviews</th>\n",
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       "      <th>gross</th>\n",
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       "      <th>actor_1_name</th>\n",
       "      <th>...</th>\n",
       "      <th>num_user_for_reviews</th>\n",
       "      <th>content_rating</th>\n",
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       "      <th>title_year</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
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       "      <th>aspect_ratio</th>\n",
       "      <th>movie_facebook_likes</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Profit_Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>James Cameron</td>\n",
       "      <td>723.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>Joel David Moore</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>760505847.0</td>\n",
       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>CCH Pounder</td>\n",
       "      <td>...</td>\n",
       "      <td>3054.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>237000000.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>936.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1.78</td>\n",
       "      <td>33000</td>\n",
       "      <td>-523505847.0</td>\n",
       "      <td>-68.836532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>302.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>309404152.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>Johnny Depp</td>\n",
       "      <td>...</td>\n",
       "      <td>1238.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>300000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
       "      <td>-9404152.0</td>\n",
       "      <td>-3.039439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>602.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>Rory Kinnear</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>200074175.0</td>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>Christoph Waltz</td>\n",
       "      <td>...</td>\n",
       "      <td>994.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>245000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2.35</td>\n",
       "      <td>85000</td>\n",
       "      <td>44925825.0</td>\n",
       "      <td>22.454585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>813.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>448130642.0</td>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>Tom Hardy</td>\n",
       "      <td>...</td>\n",
       "      <td>2701.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>164000</td>\n",
       "      <td>-198130642.0</td>\n",
       "      <td>-44.212697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Andrew Stanton</td>\n",
       "      <td>462.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>530.0</td>\n",
       "      <td>Samantha Morton</td>\n",
       "      <td>640.0</td>\n",
       "      <td>73058679.0</td>\n",
       "      <td>Action|Adventure|Sci-Fi</td>\n",
       "      <td>Daryl Sabara</td>\n",
       "      <td>...</td>\n",
       "      <td>738.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>263700000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>632.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.35</td>\n",
       "      <td>24000</td>\n",
       "      <td>190641321.0</td>\n",
       "      <td>260.942743</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       director_name  num_critic_for_reviews  duration  \\\n",
       "0      James Cameron                   723.0     178.0   \n",
       "1     Gore Verbinski                   302.0     169.0   \n",
       "2         Sam Mendes                   602.0     148.0   \n",
       "3  Christopher Nolan                   813.0     164.0   \n",
       "5     Andrew Stanton                   462.0     132.0   \n",
       "\n",
       "   director_facebook_likes  actor_3_facebook_likes      actor_2_name  \\\n",
       "0                      0.0                   855.0  Joel David Moore   \n",
       "1                    563.0                  1000.0     Orlando Bloom   \n",
       "2                      0.0                   161.0      Rory Kinnear   \n",
       "3                  22000.0                 23000.0    Christian Bale   \n",
       "5                    475.0                   530.0   Samantha Morton   \n",
       "\n",
       "   actor_1_facebook_likes        gross                           genres  \\\n",
       "0                  1000.0  760505847.0  Action|Adventure|Fantasy|Sci-Fi   \n",
       "1                 40000.0  309404152.0         Action|Adventure|Fantasy   \n",
       "2                 11000.0  200074175.0        Action|Adventure|Thriller   \n",
       "3                 27000.0  448130642.0                  Action|Thriller   \n",
       "5                   640.0   73058679.0          Action|Adventure|Sci-Fi   \n",
       "\n",
       "      actor_1_name  ... num_user_for_reviews  content_rating       budget  \\\n",
       "0      CCH Pounder  ...               3054.0           PG-13  237000000.0   \n",
       "1      Johnny Depp  ...               1238.0           PG-13  300000000.0   \n",
       "2  Christoph Waltz  ...                994.0           PG-13  245000000.0   \n",
       "3        Tom Hardy  ...               2701.0           PG-13  250000000.0   \n",
       "5     Daryl Sabara  ...                738.0           PG-13  263700000.0   \n",
       "\n",
       "  title_year  actor_2_facebook_likes imdb_score  aspect_ratio  \\\n",
       "0     2009.0                   936.0        7.9          1.78   \n",
       "1     2007.0                  5000.0        7.1          2.35   \n",
       "2     2015.0                   393.0        6.8          2.35   \n",
       "3     2012.0                 23000.0        8.5          2.35   \n",
       "5     2012.0                   632.0        6.6          2.35   \n",
       "\n",
       "  movie_facebook_likes       Profit  Profit_Percentage  \n",
       "0                33000 -523505847.0         -68.836532  \n",
       "1                    0   -9404152.0          -3.039439  \n",
       "2                85000   44925825.0          22.454585  \n",
       "3               164000 -198130642.0         -44.212697  \n",
       "5                24000  190641321.0         260.942743  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando criação da coluna\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "#salvando os dados do dataframe em um arquivo csv\n",
    "df.to_csv('dados_imdb_analiseexpl.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Visualização dos dados</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (107805217657)>"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#criando um gráfico que correlaciona lucro e a nota do IMDB\n",
    "ggplot(aes(x='imdb_score', y='Profit'), data=df) +\\\n",
    "      geom_line() +\\\n",
    "stat_smooth(color='blue', span=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vR/fu3Utsc/XqVQBA8+bNS6yrX78+fH19ceXKFcnn3L59Oz744AOcOnXKbHwUAKSlpUk+TvHQBEBsRk9NTS2z7B4eHggJCZFVdmtiYmLwzjvvYO3atcjLyzPr6iov0xgsS83hISEhePrpp82WDRs2DKGhoRg7diwuXrxY5kDrmJgYjB8/Hjt27BC7AtesWQNfX18MGDBA3G7mzJk4evQoBg0aBH9/f7Rv3x5du3bF8OHDJXczPaw+ffogLy8Pv/32m1kXDlAYVIxGI+Lj4xEfH29x/6K/QJYsWYLhw4ejTZs2qF+/Pjp27IgePXpgyJAhkrtEpNS/+/fvIysry2L9UygUaN68OXbu3In09HRJXdSWPnOT3NxcxMbG4n//+5/FMWJFv1sXL15E06ZNzcKWJefPn4dWq7UaOO7evWv2uvhnA0AcV3j58mVx2dWrV9G8eXOL3aItW7bEwYMHkZSUBH9/f6vf45YtWwJAie/xqVOnMGLECERGRmL37t2SB1Xfu3cPWVlZFt+HWq1GSEgIMjIyzN6H3LJZ06FDh1IHh8tVvI6a7tazVHdN61JTU+Hl5YXz588DKPzjuvhNL6Ud39kwODkx0y/76dOnW/yhbPprWMqgxLLs2LEDAwcOxJNPPom4uDjUr19fbIEy/WUjVfG7zIoyldmWZS9L7dq10atXL6xcuRIFBQXo06fPQ4eK3377DQAkjyHy8/NDeHg4du7cicuXL5e533PPPYdXX30Vq1evxtChQ5GUlIQjR45g3Lhx4ucCAA0bNsQff/yBQ4cOITExEUeOHMG0adMwa9Ys7NmzR/xL1p6GDx+O5cuXY86cOYiPjzf7RWiqN9HR0Rg3blyZx+rduzeSk5Oxd+9e/Pjjjzh48CDi4+Mxd+5c/PTTTwgMDCzzGJWt/g0fPhw7d+7Eiy++iE6dOiEgIACurq44deoUZsyYUa6WQqPRCF9fX2zZsqXUbSwFhtIUvw5Sr4vUFrmiGjduDHd3dxw9ehTffvttiVaw8ipeFmufcUV87taUVkel1F1TfZk8eTL69u1rcduiPyOcEYOTEwsMDMT06dMxc+ZMrFu3rsR602SYf/zxR4l1N27cwIMHD8TB34D1HxZr166FWq3Gjz/+aDYgOycnR2yWtyVTuSyVXavV4urVqw812WdxL7zwgthSs3Tp0oc+nmlQ6bPPPit5H9OdMVLuGPTx8cGAAQOwadMm3Lp1C2vWrIEgCBZnf3Zzc0NUVJTYHXXmzBk89dRTmDNnjsVuElt74403EBYWhilTpiA/Px+bN28WWysee+wxKJVKaLXaUltkivPz88PQoUPFlralS5di8uTJWL58OWbNmmWTMteoUQPe3t4W658gCPjzzz/h7+9fYt4euR48eICdO3di5MiRJQYiW7pDLTQ0FBcvXkROTo7VVqfQ0FBcuHABjz/+uMVB0Zb89ddfJZbl5+fj6tWrZj8nQkJCcOnSJeTn55dodfrjjz+gUCjEoQGmbqE///wT7dq1K7Gt6XhF+fj44LvvvsOzzz6LoUOHYvXq1ZKmcjB9ZpbeR15eHq5evWp2LYr+fHzmmWfMtv/9998tlu1RUPSOW6nfKWfDMU5O7rXXXkOdOnUwa9asErdjP/7442jQoAHWrVuHa9euma2bN28eAGDQoEHiMtMYAEvdbi4uLlAoFCX++o2NjbXL2JnAwEB07NgR+/btE2/DNfnoo4+QnZ1tVvaH9eyzz2Lu3LmYN28eevbsWe7jCIKAhQsXYvPmzXjiiScwZMgQSfvdvn0bx44dg0ajsdjVYElMTAwMBgPWrVuHtWvXokmTJggPDzfbxtKt5M2aNYNGo5HVvfqwXnnlFXzxxRf47rvv0LdvX2i1WgCFXWTPPPMMdu/eXeqt5qYuJYPBYDGkP/HEEwDkdReXRalUon///rhw4UKJVpv4+HhcuXIFAwcOfOiWCVM3ZPHWkKysLMTFxZXYfuTIkcjJybEYEIt+D0ePHg0AmD59usVWn+LddEBhN2Dx97p48WJkZWVh4MCB4rKBAwfiwYMH4hgtk6NHj+KHH35A165dxUBp2m/hwoVm5UtJScGyZcvg5+eHbt26lSiLl5cX9uzZg27dumH06NFYsWJFiW2KUyqV6NevH/76668SUy588skn4hggk6ioKHh5eWHZsmVm9cpgMIjTedjyZ0xFadOmDVq1aoWVK1eK3XZFCYJg8eeCM2GLk5PTaDSYO3cuXnzxRQDmfyG5uLjg888/R9++ffHUU0/hpZdeQo0aNbBnzx58//336NGjB4YPHy5u/9RTT0GpVGLBggVIT0+Hp6cnGjZsiHbt2mHIkCHYsmULOnfujJiYGAiCgL179+L8+fMICAiwy3tbvHgxOnXqhK5du5pNR7Bhwwa0bt0ar732ms3O5erqinfeeUfWPsePHwdQ+IMoOztbnDn8ypUrCA8Px9atWy02rZ89e1Z81IZer0dSUhJWrlyJzMxMvP/++yUGsZamW7duqFevHhYuXIjMzEyL4xl69OgBb29vdO7cGfXr10d2djb+97//ISsrS5y3S4rFixdbnNPq8ccfL/HXemlM3YgxMTHo1asXvvvuO3h5eeHzzz9Hhw4dEBUVhREjRuDJJ5+EUqnEtWvXsHv3bjz11FNYvXo1srKyUKtWLfTp0wePP/44atasiZs3b2LFihVwc3MTb7m3lYULFyIhIQHDhg3DwYMH0bJlS3E6gnr16pnNlVVe3t7e6NmzJ+Lj4+Hu7o527drh9u3bWLlypcXu4ldffRW7d+/Gxx9/jN9++w29e/eGt7c3Ll68iP3794utOAMHDsS4ceOwYsUKnDt3Dv3790dQUBBu3bqFX3/9FXv27Ckx90/Lli0xevRoHD58GGFhYTh58iTWrFmDpk2bmn3XXn/9dWzduhWvv/46zp49azYdga+vLxYvXixu27VrV4waNQrr1q1Dly5dMGDAAGRnZ+Orr77CvXv3sHbt2lLru0ajwc6dOxEdHY0JEyZAq9WKU1CUZv78+di7dy+ee+45vPTSS2jatCl+/vln7Ny5EyEhIdDr9eK2vr6++OSTTzBu3Dg8+eSTGDt2LDw9PbFlyxYcO3YM48aNQ4cOHcr+ECsZhUKBdevWoWvXrmjbti3GjBmDFi1aiDff7NixAzExMeINQk6pom/jI8coPh1BUQaDQWjRooUAwGw6ApOffvpJ6N27t+Dn5yeoVCohNDRUmDdvnpCfn19i29WrVwthYWGCm5ubAEAYPXq0uG7lypVCixYtBLVaLQQGBgrDhw8Xbty4YXYLsTWmaQBmz55dYl1pUyH89ddfQnR0tBAQECC4ubkJwcHBwmuvvSZkZGSUeb6ixy1tOoKyWJuOwPSfUqkUfH19hWbNmgkjR44Uvv32W7NbiU0s3ZquUCgEPz8/oWvXrsK2bdskvaei3n77bbEMlm7ZXrFihdCjRw+hVq1agkqlEgIDA4XOnTsLmzdvlnR8a7daF72GZU1HUNSWLVsENzc3ITw8XPwc09LShBkzZghNmzYV3N3dBW9vb6Fp06bCuHHjhJ9//lkQBEHIz88X3nzzTaFdu3ZC9erVBZVKJdStW1cYPHiw8Msvv0h6P8XrtInps1m1apXZ8hs3bggvvPCCUKtWLcHV1VWoXbu2MG7cOLMpAqyx9r01SU1NFSZMmCDUqVNHcHd3F5o0aSK8//77QkJCgsUy5efnC++9957QsmVLQa1WC97e3kKrVq0s3mK+ceNGITIyUvD19RVUKpVQr149oVevXuJt8sWvS0JCghAeHi5oNBqhWrVqwujRo4W7d++WOG5aWpowZcoUITg4WHBzcxMCAgKEoUOHmk3nYGIwGIRPPvlEaNmypeDu7i54eXkJXbp0Efbt21diW0s/S3Q6nfDcc88JAIR333231Oto8vfffwv9+vUTvL29BS8vLyEqKkr47bffhM6dO5tNR2Dy/fffC507dxa8vLwEd3d3oVWrVsKSJUsEo9FY5rkEQdqUHXKnIyj+nRGE0utuafvcuHFDmDhxotCoUSNBpVIJfn5+QsuWLYVXX31V+PPPPyW9t6pKIQg2nN6UiIiIqArjGCciIiIiiRiciIiIiCRicCIiIiKSiMGJiIiISCIGJyIiIiKJGJyIiIiIJGJwIiIiIpKIwYmIiIhIIgYnIiIiIokYnIiIiIgk4kN+bSwlJUX8t0qlQkFBgQNLU7kpFApoNBpotVqLT2CnQqxH1rEeScN6VDbWJWmqal2S+sB5tjjZkbu7u6OLUKkplUp4eHhAqWQ1tIb1yDrWI2lYj8rGuiSNs9cl1g4iIiIiiRiciIiIiCRicCIiIiKSiMGJiIiISCIGJyIiIiKJGJyIiIiIJGJwIiIiIpKIwYmIiIhIIgYnIiIiIokYnIiIiIgkYnAiIiIikojBiYiIiEgiBiciIiIiiRiciIiIiCRSCIIgOLoQVUlmZibc3d0BAK6urtDr9Q4uUeWlUCigUqlQUFAAVsPSsR5Zx3okDetR2Zy9Ll26dAlqtRr16tWzul1VrUum391lcbVzOZxOQUEBCgoKAADe3t7IyspycIkqLxcXF6hUKuTk5MBgMDi6OJUW65F1rEfSsB6Vzdnr0ttvv406depg3rx5VrerqnVJanBiVx0REREhPz/fKQOjXAxOREREVCW73+yBwYmIiIjY2iQRgxMRERFBp9M5ugiPBAYnIiIiYledRAxORERExOAkEYMTERERMThJxOBEREREDE4SMTgRERERg5NEDE5ERETEu+okYnAiIiIizuMkEYMTERERscVJIgYnIiIi4hgniRiciIiIiMFJIgYnIiIiYnCSiMGJiIiIGJwkYnAiIiIiBieJGJyIiIiIwUkiBiciIiInZzQaYTQaHV2MRwKDExERkZNja5N0DE5EREROjpNfSsfgRERE5OT4uBXpGJyIiIicHFucpGNwIiIicnIc4yQdgxMREZGTY3CSjsGJiIjIyTE4ScfgRERE5OQYnKRjcCIiInJyDE7SMTgRERE5OQYn6RiciIiInByDk3QMTkRERE6OwUk6BiciIiInxwkwpWNwIiIicnJ85Ip0DE5EREROji1O0jE4EREROTmOcZKOwYmIiMjJMThJx+BERETk5BicpGNwIiIicnIc4yQdgxMREZGT41110jE4EREROTm2OEnH4EREROTkOMZJOgYnIiIiJ8euOulcHV0AAFi6dCl+/fVXaLVaeHt7o3v37oiOjgYAXLt2DUuWLEFycjJq1qyJl19+Gc2bNxf3PXbsGFavXo2MjAyEhYXh1VdfRfXq1cX169evx549e2A0GtGxY0eMHz8erq6Fbzs7OxvLli3D6dOnodFoEB0djd69e4v7lnVuIiKiqoBdddJVihanvn374osvvsCmTZuwaNEi/Pjjjzh69Cj0ej3mz5+P8PBwbNy4EYMGDcKCBQuQnZ0NAPjnn3+wePFiTJw4EevXr0ft2rXx4Ycfisfdv38/Dh8+jLi4OCxfvhxXr17F5s2bxfVffPEFDAYDVq1ahVmzZiE+Ph7nzp0DgDLPTUREVFWwxUm6ShGc6tevD3d3d/G1QqHArVu38PvvvyM/Px8DBgyAm5sbunTpgqCgIBw/fhwAcPDgQbRt2xZt2rSBu7s7RowYgQsXLuD27dsAgISEBPTv3x9BQUHw9fVFdHQ0EhISAAB5eXk4duwYRo4cCQ8PD4SEhKBr167i+rLOTUREVFWwxUm6StFVBwBr1qzBd999h/z8fNSoUQNdunTB8ePHERwcDKXy//Ndw4YNcf36dQCFXWmhoaHiOm9vbwQGBuLatWuoVasWrl+/jgYNGpjtm5KSgpycHNy5cwdAYWgzadSoEXbs2AEAuH79utVzm6SkpCAlJUV8rVQqERgYCKAwALq4uDzspamyTNeG18g61iPrWI+kYT0qmzPXJaPRCEBaPXH2ulRpgtPo0aPx/PPP4/Llyzhx4gQ8PT2h1Wrh6elptp2npydyc3MBFLYaeXh4lFiv1WrF9UX3N/1bq9UiLy8PGo2m1H3LOrfJ1q1bsWLFCvF1TEwMJk2aJL5WqVTSL4KT8vHxcXQRKj3Wo7KxHpWN9UgaZ6xLprG/arUa/v7+ZW7vzFPwwLcAACAASURBVHWp0gQnoDDFNm7cGKdOncLGjRsREBBQIqjk5uaKgUetVpdYn5OTU+p60781Gg3UarUYkiztq9ForJ7bZNCgQejcubP4WqlUIj09HUBh0MrJyZF3EZyIi4sLfHx8kJmZyf51K1iPrGM9kob1qGzOXJeysrIAFDY4mH6Hlaaq1iUpgRGoZMHJxGg04vbt22jbti22bdsGo9EodpklJSWhZ8+eAIDg4GAkJyeL+2VnZyMlJQXBwcEACrvhkpKSEBYWJu4bEBAAT09P1KlTBwBw48YN1KtXT1xfdF9r5zYJCAhAQECA+DolJUX8wgmC4HRfvvIwGAy8TlawHknDemQd65F0zliXCgoKAEirJ85elxw+ODwnJwcHDx5Ebm4ujEYj/vrrL+zZswdt2rRBy5Yt4ebmhh07dkCn0+HHH3/EnTt3EB4eDgCIjIzEqVOncPbsWeTn5yM+Ph5NmjRBrVq1AADdunXDzp07ce/ePWRmZmLTpk14+umnARS2RrVv3x7x8fHIzc1FUlISEhMT0a1bNwAo89xERERVhTMHIbkc3uKkUCiQmJiIL7/8EkajEdWqVUP//v3xzDPPQKFQYObMmVi6dCk2bNiAoKAgvPXWW/D29gYA1KtXD5MnT8bSpUuRnp6OZs2aYdq0aeKxu3fvjvv372Pq1KkwGAzo1KmTOD8UAEyYMAFLly5FTEwMPDw8MGLECLRu3RpAYX+vtXMTERFVFbyrTjqFIAiCowtRlRS9w87b21vsN6aSXFxc4O/vj/T0dP61YwXrkXWsR9KwHpXNmevS9OnTsWrVKowfPx4LFiywum1VrUtFh91Y4/CuOiIiInIsPqtOOgYnIiIiJ8fgJB2DExERkZNztq7Jh8HgRERE5OQ4OFw6BiciIiInx6466RiciIiInByDk3QMTkRERE6OwUk6BiciIiInxzFO0jE4EREROTneVScdgxMREZGTY4uTdAxORERETo4tTtIxOBERETk5tjhJx+BERETk5HhXnXQMTkRERE6OwUk6BiciIiInx+AkHYMTERGRk2Nwko7BiYiIyMkxOEnH4EREROTkGJykY3AiIiJycnq9HkolI4EUvEpEREROTq/Xw83NzdHFeCQwOBERETk5nU4HFxcXRxfjkcDgRERE5OQMBgNbnCRicCIiInJyOp0Orq6uji7GI4HBiYiIyIkJggCDwcDgJBGDExERkRMzTUXA4CQNgxMREZETY3CSh8GJiIjIiTE4ycPgRERE5MQYnORhcCIiInJiDE7yMDgRERE5MQYneRiciIiInJgpOHECTGkYnIiIiJyYTqcDAD5yRSIGJyIiIidmMBgAsMVJKgYnIiIiJ2ZqceIYJ2kYnIiIiJwYB4fLw+BERETkxBic5GFwIiIicmKm4MTB4dIwOBERETkxnU4HpVIJpZKRQApeJSIiIidmMBjYTScDgxMREZET0+l0DE4yMDgRERE5MbY4ycPgRERE5MT0ej0nv5SBwYmIiMiJ6XQ63lEnA9vmbEylUsHd3R1A4ZwY3t7eDi5R5aVQKAAAnp6eEATBwaWpvFiPrGM9kob1qGzOWpfc3NygUqnE/5dVT5y9LjE42VhBQQEKCgoAAN7e3sjKynJwiSovFxcXqFQq5OTkiM9KopJYj6xjPZKG9ahszlqXsrKy4OLiAp1Oh4KCgjLrSVWtS6ZGj7LI7qpLTU21uv7s2bNyD0lEREQOotfrOThcBtnBqXv37qUmzZMnT6Jr164PXSgiIiKqGAxO8sgOTq6urujduze0Wq3Z8mPHjiEqKgrdu3e3WeGIiIjIvhic5JEdnPbt24cHDx6gf//+0Ol0AICDBw+iR48eGDhwIOLj421eSCIiIrIPToApj+zg5OfnhwMHDiA5ORnPPfccdu3ahWeeeQajRo3CqlWr+KwbIiKiR4jBYOA8TjKUK+UEBQUhISEBp0+fRv/+/fHSSy/h888/t3XZiIiIyM44j5M8ktrmXnnlFYvLmzVrhpycHOj1enEbhUKBTz/91HYlJCIiIrvhI1fkkXSldu3aVeo6Ly8vs/UMTkRERI8OnU7HrjoZJAWnpKQke5eDiIiIHECv17OrTgaO5CYiInJiHBwuT7mC08WLFzF27Fg0btwY1atXR+PGjfHCCy/g4sWLti4fERER2REHh8sjezTYqVOnEBkZCXd3d/Tp0wc1a9bEnTt3sHPnTmzevBk//vgj2rZta4+yEhERkY3p9Xq4ubk51fP5Hobs4DR9+nS0bt0a+/btg6enp7g8JycHPXr0wPTp05GQkGDTQhIREZF9mGYOZ3CSRnZX3c8//4w33njDLDQBgKenJ6ZPn46ff/7ZZoUjIiIi++IjV+SRHZxUKhVycnIsrsvJyeEAMyIiokcIH7kij+zg9PTTT+Ott97ChQsXzJZfuHABs2bN4kN+iYiIHiG8q04e2cEpLi4OgiCgRYsWaN26NXr06IE2bdqgRYsWMBqN+Oijj+xRTiIiIrID3lUnj+zgVK9ePfz++++Ii4tDkyZNYDQa0aRJE3z88cc4d+4c6tata49yEhERkR2wxUmecnVqenl54ZVXXin1GXZERET0aOAYJ3nKfaUOHz6MI0eOIC0tDdWrV0fHjh3RsWNHW5aNiIiI7IyPXJFHdnDKycnBgAEDkJCQAFdXV1SvXh2pqakwGAx4+umnsX37dnh4eNijrERERGRjpgkwSRrZY5zeeOMNnDhxAhs2bIBWq8Xt27eh1WqxYcMGnDhxAjNmzLBHOYmIiMgO2OIkj+zgtHXrVrz77rsYOnSoeKFdXFzw3HPPYeHChfjmm29sXkgiIiKyD7Y4ySM7OGVkZKBRo0YW14WEhCAjI+OhC0VEREQVgzOHyyM7OIWFhWHNmjUW161ZswbNmjV76EIRERFRxWBwkkf2lXrnnXcwaNAgJCcnY8iQIahZsybu3r2LzZs34+TJk9i6das9yklERER2wOAkj+wr1b9/f2zfvh1z587FtGnTIAgCFAoF2rRpg+3bt6NPnz72KCcRERHZAcc4yVOuiNm3b1/07dsXOTk5yMjIgJ+fHzw9PW1dNiIiIrIzPnJFHtljnIry8PCASqXivE1ERESPKD5yRZ5yBaf9+/ejQ4cO0Gg0qFmzJjQaDdq3b499+/bZunxERERkR3zkijyyg9OqVavQs2dPuLi44N1338W6devw7rvvwsXFBb1798bXX39tj3ISERGRHXBwuDyyr9S8efMwZswYrFy50mz5lClTMGbMGMTGxmLs2LE2KyARERHZD4OTPLJbnO7du4ehQ4daXDds2DDcu3fvoQtFREREFYOPXJFHdnD697//jdOnT1tcd/r0afzrX/966EIRERFRxeB0BPJIaptLS0sT/71w4UIMGzYMeXl56N+/P2rUqIF79+5h+/btWLt2LTZu3Gi3whIREZFtsatOHklXKiAgAAqFQnwtCALmzp2LefPmmS0DgIiICBgMBhsXk4iIiOyBwUkeSVfq66+/NgtORERE9OgzGAwQBIHBSQZJVyomJsbOxSAiIqKKptfrAYBjnGQo98zh6enpOHLkCDZs2ID09HQAQF5eHoxGo80KR0RERPaj0+kAgHfVySA7OBkMBrz11luoV68eOnfujFGjRiEpKQkAMHDgQMTGxtq8kERERGR7pjHJbHGSTnZwmj17NpYuXYoPPvgAf/31lzgoHCh8+O+uXbtsWkAiIiKyD1OLE8c4SSf7Sq1evRoLFy7Eyy+/XOLuuZCQEFy5ckXW8XQ6HZYvX46zZ88iKysLAQEBGDJkCCIjIwEA165dw5IlS5CcnIyaNWvi5ZdfRvPmzcX9jx07htWrVyMjIwNhYWF49dVXUb16dXH9+vXrsWfPHhiNRnTs2BHjx48XK0h2djaWLVuG06dPQ6PRIDo6Gr179xb3LevcREREjzLTGCcGJ+lktzilpqYiLCzM4jqj0SimV6kMBgOqVauG+fPnY+PGjZg4cSKWL1+OCxcuQK/XY/78+QgPD8fGjRsxaNAgLFiwANnZ2QCAf/75B4sXL8bEiROxfv161K5dGx9++KF47P379+Pw4cOIi4vD8uXLcfXqVWzevFlc/8UXX8BgMGDVqlWYNWsW4uPjce7cOQAo89xERESPOgYn+WQHp9DQUBw4cMDiuoMHD6JFixayjqdWqzFixAjUrFkTSqUSzZo1Q1hYGM6fP4/ff/8d+fn5GDBgANzc3NClSxcEBQXh+PHj4vnatm2LNm3awN3dHSNGjMCFCxdw+/ZtAEBCQgL69++PoKAg+Pr6Ijo6GgkJCQAKB7IfO3YMI0eOhIeHB0JCQtC1a1dxfVnnJiIietQxOMkn+0pNnToV48aNg5ubGwYPHgygsOXnp59+wuLFi7F69eqHKlBeXh4uX76MPn364Pr16wgODoZS+f/5rmHDhrh+/TqAwq600NBQcZ23tzcCAwNx7do11KpVC9evX0eDBg3M9k1JSUFOTg7u3LkDAKhfv764vlGjRtixYwcAlHluIiKiRx2Dk3yyr1RMTAzS0tIwZ84cLFy4EADQv39/eHh4YP78+YiOji53YQRBwKefforGjRvj8ccfx8WLF+Hp6Wm2jaenJ3JzcwEUhiwPD48S67Varbi+6P6mf2u1WuTl5UGj0ZS6r1artXpuk5SUFKSkpIivlUolAgMDAQAKhYK3eFphuja8RtaxHlnHeiQN61HZnLEumaYQcnd3h0KhkFRPnL0ulStivvbaaxg/fjyOHz+OlJQUVKtWDREREfDx8Sl3QQRBwGeffYbU1FTMmzcPCoUCGo2mRFDJzc0VA49arS6xPicnp9T1pn9rNBqo1WoxJFnat6xzm2zduhUrVqwQX8fExGDSpEnia5VKJf0iOKmHqTfOgvWobKxHZWM9kqaq16V27drh5MmTEARBbHwIDAyESqWCWq2Gv79/mcdw5rpU7rY5Ly8vdO/e3SaFEARBHLwdGxsLtVoNoLAbbdu2bTAajWKXWVJSEnr27AkACA4ORnJysnic7OxspKSkIDg4WNw/KSlJHMyelJSEgIAAeHp6ok6dOgCAGzduoF69euL6ovtaO7fJoEGD0LlzZ/G1UqkUJwT19PRETk6OTa5RVeTi4gIfHx9kZmby+YZWsB5Zx3okDetR2ZylLp08eRJA4UTWaWlpAICsrCwUFBQgLy9P/B1Wmqpal6QERqAcwWnJkiW4efMm3n333RLrZsyYgXr16mHixImyjvnFF1/g77//xvz588263lq2bAk3Nzfs2LEDffr0wfHjx3Hnzh2Eh4cDACIjIzFt2jScPXsWTZs2RXx8PJo0aYJatWoBALp164bt27fjySefhFqtxqZNm/D0008DKGyNat++PeLj4/HKK6/g7t27SExMxPTp0yWd2yQgIAABAQHi65SUFPELJwhClf7y2YrBYOB1soL1SBrWI+sqYz26cuUK+vbti99//91sPKmjOUtdMhgMKCgoAFD4R78gCJLqSWWsSxVJdnD67LPP8Nprr1lcFxoaio8++khWcLp37x6+//57uLm5YezYseLywYMHIzo6GjNnzsTSpUuxYcMGBAUF4a233oK3tzcAoF69epg8eTKWLl2K9PR0NGvWDNOmTROP0b17d9y/fx9Tp06FwWBAp06dzMZgTZgwAUuXLkVMTAw8PDwwYsQItG7dGkDhQDlr5yYioodz584d3Lt3z2wiZapYpimEKlNwrexkB6dr166hcePGFtc1atTIrOtMiho1amDnzp2lrm/QoIHZ3EzFdejQAR06dLC4TqFQYOTIkRg5cqTF9V5eXpgxY0a5z01EROWXl5fn6CI4PYPBADc3NygUCkcX5ZEhO2L6+PiIz6Yr7urVqyXuciMiIrIkPz/f0UVwejqdjlMRyCQ7OHXv3h1z587FjRs3zJb/888/iI2NRa9evWxWOCIiqroYnBxPr9czOMkkOzi9++67MBqNaNKkCZ599lmMHz8ezz77LEJDQ2E0GrFo0SJ7lJOIiKoYdtWVLiEhQZyc0p4YnOSTHZxq166NM2fOYOrUqUhNTcWhQ4eQmpqK//73v/jtt9/E2/yJiIisYYtT6YYNG1YhY2wZnOQr19WqVq0aFixYYOuyEBGRE2GLk3UPHjyw+zkYnOTj/YdEROQQbHFyPAYn+cp1tQ4fPowvv/wSFy9etPgXw7lz5x66YEREVLWZJl8kx+FddfLJbnHat28funbtipSUFPz666+oV68eAgIC8PfffyMnJwdPPvmkPcpJRERVDLvqHM9gMDA4ySQ7OM2ePRtTpkzB7t27AQCxsbH44YcfcPHiRahUKnTt2tXmhSQioqqHXXWOp9Pp4Obm5uhiPFJkB6fz58+jV69eUCqVUCgU4oP+goODMWfOHMyfP9/mhSQioqqHwcnx9Ho9XFxcHF2MR4rs4KRWq2E0GqFQKFCrVi1cuXJFXOfl5VViYkwiIiJL2FXneKZHrpB0sjs2W7dujb///htRUVHo1q0bFixYgICAALi5uWHmzJlo2bKlPcpJRERVDFucHE+n07HFSSbZLU5TpkwRHwa4cOFCeHt7o2/fvujVqxdSU1OxbNkymxeSiIiqHgYnx9Pr9WxxkklSi9PmzZsRFRUFf39/9O7dW1xep04dnDp1CpcvX4ZWq0XTpk2hUqnsVlgiIqo62FXneJzHST5JLU7Dhg3DpUuXxNdGoxGhoaH466+/oFAo0LhxY7Rq1YqhiYiIJGOLk+MxOMknKTgJglDi9eXLl/nXAhERlRuDk+MxOMnHR64QEZFD8I9vx+MYJ/kYnIiIyCHY4uR4vKtOPsntcxs3bsTRo0cBQJzHKT4+HocOHTLbTqFQYOrUqTYtJBERVT18Vp3jPcwjV55//nnMnj0bISEhNi5V5Sb5an366aclln388cclljE4ERGRFOyqc7zyPuRXEATs378fMTExDE6WGI1Ge5eDiIicDLvqHK+8g8N1Oh0MBoMdSlT5cYwTERE5BIOT45V3cLgztxYyOBERUYUTBMGpf/lWFuV9yG9ubq4dSvNoYHAiIqIKp9PpSswRSBWPLU7yMTgREVGFYzdd5VDeMU5ardYOpXk0MDgREVGFc+YWi8qkvMHJmT8/BiciIqpwbHGqHMobnJx5jFO5Zr1KTU3FsmXLcOTIEaSlpaFatWro1KkT/vOf/6B69eq2LiMREVUxDE6VA8c4ySe7xenKlSto1aoVFixYAL1ej9DQUOj1esyfPx+tWrXClStX7FFOIiKqQpz5F29lUt5HrjjzGCfZLU7//e9/4evri59++gn169cXl9+4cQM9e/bEtGnTsH37dpsWkoiIqhY+bqVyMBgMbHGSSXaL08GDBzFv3jyz0AQA9erVw5w5c/DDDz/YrHBERFQ1OfMv3sqELU7yyQ5ORqOx1IFkrq6ufDwLERGViWOcKgdORyCf7ODUvn17xMbGIi0tzWx5eno6FixYgA4dOtiscEREVDUxOFUO5R0c7szBSXbM/Oijj9CxY0cEBweja9euqFmzJu7evYvExESoVCqsWbPGHuUkIqIqhF11lUN5H7nizJ+f7Ban5s2b49y5cxg3bhxu376NH374Abdv38b48eNx9uxZNG/e3B7lJCKiKoQtTpUDW5zkK9c8TnXr1kVcXJyty0JERE6Cwaly4Bgn+ThzOBERVThn7uqpTBic5JMdnLRaLd566y2EhobCw8MDLi4uZv+V5wMgIiLnwhanyoHPqpNP9tWaOHEiNmzYgCFDhmDMmDFQqVT2KBcREVVh+fn5UKvVTv0LuDLgGCf5ZAenXbt24YMPPsDkyZPtUR4iInICeXl5cHd3Z3BysPJOgOnMn5vsrjoXFxc0adLEHmUhIiInUVBQAHd3d0cXw+mV95Erubm5dijNo0F2cHrppZewbt06e5SFiIicRF5eHtRqtaOL4bQ0Gg0AtjiVh+yuOk9PTxw5cgTh4eGIioqCn5+f2XqFQoGpU6farIBERFT15Ofnl9ritGnTJkyaNAn379+v4FJVfXq9HgCgVqthNBphNBo5xkkm2cHpjTfeAABcv34dJ06cKLHe2YOTSqUSfxi4urrC29vbwSWqvBQKBYDCMC4IgoNLU3mxHlnHeiRNZatHBoMBHh4eAABvb2+zVo/t27eLyytSZatLKpXK5tcgKysLAODh4SG2Ovn4+MDb2xtubm6Szunq6ireFenh4VGp6lVFkB2c+BBf6woKClBQUACg8EtvqqRUkouLC1QqFXJycmAwGBxdnEqL9cg61iNpKls9ys7OFls6srKyzIKT6XOs6PI6oi4FBgZi8uTJeOedd0qsKygosPk1uHfvHgDA3d0d6enpAApb/7KysqDT6SSd09vbWxzjlJubW6nq1cOQOuaOE2ASEVGFs9ZV9ygbNmwYAgMDZe2za9cuO5WmJNPYJI1GI3bbsatOHgYnIiKqcFU1OCUkJDi6CFaZAk/R4CR3AkxBEBiciIiIKpJpHieqWEVbnHQ6HQD5wUmn0zn1sB0GJyIiqnCPSotTYmIiAgMDK8VgcVswjU1SqVTiOC65wcmZ53ACGJyIiMgBHpXgdOHCBQCoMsHJ1OKkUCjKPcbJmbvpAAYnIiJyAE6A6RhFQ4+pq07uBJhscZJp79692Lhxo/j6xo0biIqKQt26dRETE4OcnBybFpCIiKqeinjkyq1bt5y+daS4ojN+m7rq5LY4OfOs4UA5gtM777yDmzdviq8nTZqE8+fPY+jQodi7d6/FuSiIiIiKqoiuutatW2PQoEF2PcejpmhrUXkHh5uOUZ5pDKoC2cHp0qVLaN26NQAgMzMTe/fuxSeffIIPP/wQ7777LrZt22bzQhIRUdVSUV11d+7csfs5KtKRI0ceav+irUXlnY5Aq9VCqVQyOEml1+uhVBbudvjwYQiCgJ49ewIAGjVqVOUqKRER2d6jMji8MklOTsbAgQPx66+/lvsYRbsuHyY4mR7X4oxkB6emTZsiPj4eOTk5+PLLLxEREQEvLy8AwO3bt1G9enWbF5KIiKoOvV4PvV7P4CSTaQzxgwcPyn0MW7U4OXNwkv2sulmzZmHIkCFYs2YNXFxc8N1334nr9uzZg7Zt29q0gEREVLWYHhDLu+oqXvEWJxcXF/HhxlLl5uZCo9E47d11soNT3759cf78efz2229o1aoVGjduLK6LiIhAq1atbFpAIiKqWkzBiS1OFa94cJLb2mQ6hjOHXvlXDIVjmRo1alRi+fjx4x+6QEREVLUxODlO8XmcyhucnLmrrlwTYKakpGDGjBno1q0bQkND8eeffwIAPv30U/z88882LSAREVUtpnE2DE4Vr/g8Tmxxkk92cDp9+jQee+wxbNiwATVr1sSVK1fEvx5u3ryJjz/+2OaFJCKiqqMytjgJgoC+ffuKA6arquItTuWZUiA3NxceHh62LNYjRXZwmjp1KiIiInDlyhWsWbPG7Pk97dq1Y4sTERFZVRkHh1+6dAlHjx7Fvn37HF0Uu7I0OFwuZ39cjuw2ul9++QXbtm2Dm5ubOF27SWBgIO7du2ezwhERUdVjCk4qlcrBJfl/pkaAqvIw39IUDU4Gg6HcLU4c4ySDp6cnMjMzLa67fv0653EiIiKr8vPzoVKpxMmUqeLk5eWJoedhBoc7c4uT7Frbo0cPzJ8/H6mpqeIyhUIBrVaLTz/9FL1797ZpAYmIqGrJy8urVOObnEnR0PMw0xGwxUmG9957D5mZmWjcuDGio6OhUCgwc+ZMNGvWDKmpqZg/f749yklERFVEfn6+U7dYOFLRFicGp/KRHZzq1KmDM2fOYPLkybh9+zZCQkKQmpqKESNG4Ndff0WNGjXsUU4iIqoi+Jw6x8nNzX3oFidnH+Mk+4pdvXoVjRo1wty5czF37twS6w8cOICoqCibFI6IiKoedtU5Tl5entjAwZnDy0d2i9PTTz+NW7duWVy3a9cu9OvX76ELRUREj6bAwEAkJiZa3YZdddJcu3bN5scs2s2m1+vLdVcdu+pkat68Obp162Y2OBwAtmzZgsGDB2PSpEk2KxwRET16du/ebXW96a46ssw0Cefly5dtelydTge9Xm92V1155nFicJJpy5YtqF27NqKiosRpCdavX49hw4ZhxowZeP/9921eSCIiqjrYVWddenq6XY5retyKqbWvvI9ccfYxTrKDk7u7O7799lu4u7ujZ8+eWLJkCWJiYhAbG2txzBMREVFR7KqzLi0tzS7HNU1++bDzODn7zOHlmn3My8sLe/fuhVarxZQpUxAXF4cZM2bYumxERFQF8a4664oPhbEVU3DiXXUPR9IV69u3r8XlarUafn5+SEhIQEJCAoDCyTC//fZb25WQiIiqFFsHp9jYWPj7+z/UGNucnBwAQEpKiq2KVW5yg1NiYiKGDh2K+/fvW93O1FXn4eGBtLS0cg0OFwTB6e+qkxScMjMzoVAoSixXq9Vo1aoVsrKybF4wIiKqmmzdVXfhwgXUqVPnoY5hCkz26iaTQ24Z/vjjD0nbWWpxkjs4vKCgAEajER4eHrL2q0okBadDhw7ZuRhEROQsbD043BZ/vGdnZ9ugJLZhz646hUIh3tFYnhan4gPMnRGfsEhERBXK1l11tgg99u45yczMFLsDy2LPweEajUbsQSrPGKfiA8ydkaQrFhcXhxEjRiAoKAhxcXFWt1UoFJg6dapNCkdERFWPrbvqbBGc7N3iFBISAgBljkMC7NfiVPxuuIcJTs7c4iTpik2bNg0dOnRAUFAQpk2bZnVbBiciIrLG1l11j0JwksOeXXVFW4r0er3sz8EUnDjGqQxGo9Hiv4mIiORyxq46OezZVVe8xcnT01PWMTjGycZjnG7cuIG1a9fa8pBERFTF2LKrTq/Xi60gD6MytTjZe4yTSXkmwNRqtXBxcSnXM+6qCpsGp5MnT2LMmDG2PCQREVUxtnxWna0CLoA3TQAAIABJREFUj9zjpKWlYdeuXTY5d3H2HONUNDgZDAbZAaj4AHNnJH/KUCIioodgyzFOtupikxucJk2ahAMHDkga7C2HVqtFbm6uTY9Z9NjFW5zkzuPk7A/4BTgdARERVTBbdtXZqsVJbgCzRfegJfacgNMWd9UVb7WqaG+99RbWr1/vsPMDDE5ERFTBbDk43FbBSeocS/Zmr246oOQz5sozAaajW5xOnjzp8PFoDE5ERFShbBmcHNVVZy9paWl2u2PNUotTebrqHDkVwb1791CjRg2HnR+QOMbJ29tb0kAwvV4vuwDfffcdfvjhByQnJyM8PByvv/66uO7atWtYsmQJkpOTUbNmTbz88sto3ry5uP7YsWNYvXo1MjIyEBYWhldffRXVq1cX169fvx579uyB0WhEx44dMX78eLFZMjs7G8uWLcPp06eh0WgQHR2N3r17Sz43ERGVT1XoqrOXtLQ0VKtWDbdu3bL5sbVaLXx9fcXX5W1xctRUBEajEffv3380gtN///tfu42gr1atGqKjo3HmzBmziqvX6zF//nz07NkTixYtwtGjR7FgwQJ8+eWX8PLywj///IPFixfjzTffRFhYGFatWoUPP/wQixYtAgDs378fhw8fRlxcHNRqNWJjY7F582YMHz4cAPDFF1/AYDBg1apVuH37Nt555x3UrVsXrVq1KvPcRERUPoIgsMXJipSUFLsFp7y8PAQFBYmvyzvGyVEtTunp6dDr9Y9GcJozZ47dChAREQEAuHr1qtkX4Pfff0d+fj4GDBgApVKJLl26YOfOnTh+/Di6d++OgwcPom3btmjTpg0AYMSIEXj++edx+/Zt1KpVCwkJCejfv79YSaKjo7F8+XIMHz4ceXl5OHbsGD755BN4eHggJCQEXbt2RUJCAlq1alXmuYmIqHzy8/MBFE6gqNPpHvp4tgo8BQUFNjnOw0pLSzPrObEl0xgng8EAoPyPXHHUGKd79+4BgMODU6Ud43T9+nUEBwdDqfz/IjZs2BDXr18HUNiV1rBhQ3Gdt7c3AgMDce3aNXH/Bg0amO2bkpKCnJwc3Lx5EwBQv359cX2jRo3M9rV2bqJHVXp6OmrXrs0nAJDDmIJTZRscXlnYMzjZ6ll1jgxOKpXKrLvRESrtPE5arbbEVPCenp7i/BaWmgs9PT3FW0Tz8vLM9jf9W6vVWrydsui+ZZ27qJSUFKSkpIivlUolAgMDARQ+t0/uwDtnYro2vEbW2bIeJSQkQKfTIS0tzazJ/lHGeiRNRf48snYuUyuTh4eH+DPVxcXF4vZSymu6G06pVJa6vdz3XXR70zAVFxcXsz+miy6Xc05Ly4ter6LfzeLX0fTv4u/VVK6y3qfp96JWq4VCoYBer4dKpRL3UygUZdYT0+9eFxcXKBQKq9fd1lJSUlCjRg3ZYc/WKm1w0mg0JYJK0Vsp1Wp1ifU5OTmlrjf9W6PRQK1Wl5iDo+i+ZZ27qK1bt2LFihXi65iYGEyaNEl8bavZcasyHx8fRxeh0rNVPTL9QeDn5wd/f3+bHLOyYD0qW0X9PHJ3dy+1fj148AAAEBQUJHaP+fv7m/3yNQ1YllJHTUGstHMqlcoyj1P8xqaidcn0B7q/v79ZcDL98i7t2HKWFy3jgwcP0LZtW4tlN5XL29vbbLnpd1NZ77OgoADVq1dHdnY23NzcYDQa4evrK+6nUqmgVqutHsdoNMLLy0vcpnhZ7CkrKwu1a9d2+M+uShuc6tevj23btsFoNIqVNSkpCT179gQABAcHIzk5Wdw+OzsbKSkpCA4OFvdPSkpCWFiYuG9AQAA8PT1Rp04dAIXP1qtXr564vui+1s5d1KBBg9C5c2fxtVKpRHp6OoDCX1KVZW6QysjFxQU+Pj7IzMwU+9ypJFvWI9NxMjIybPqQVUeqivWodevWmDBhAv7zn//Y7JgV+fMoPz9f/DlY3N27dwEUtuxnZmYCKOxCLhqcTGGotGMUZWrxL+2cRqOxzONkZGSYvS5al0x/RKenp5sFJ1PYKu3YcpYXLePdu3fFsFa87KbrlZWVZbbc1BBQ1vvMzs6GIAjIy8uDTqdDQUEBCgoKxP0KCgqQl5dn9TgPHjxA7dq1xW2Kl8WekpOTUb16dbudT2ogc3hwMhgMMBgMMBqNMBqNKCgogFKpRMuWLeHm5oYdO3agT58+OH78OO7cuYPw8HAAQGRkJKZNm4azZ8+iadOmiI+PR5MmTVCrVi0AQLdu3bB9+3Y8+eSTUKvV2LRpE55++mkAha1R7du3R3x8PF555RXcvXsXiYmJmD59OgCUee6iAgICEBAQIL5OSUkRv3CCIFSZH+T2ZKoDZJkt65FpbFNVvOZV6T3duHEDn376KSZMmGCzY1bkzyNr5zIFEVdXV7P6aImU8ppuKjIajeU+TvHgVLQuCYIgLjP9u/hyOee0tLzo9UpNTYWfn1+J5UX3Lf5ey7qOJlqtFirV/7V35vFN1Ov+/6T7ztYNKEhFlCKyHWQXuahcQRCubFdB5aL3uF31epRzPD+3Ikc5Ki5cEOvxHsDrsSIK6BUEei0qbVmFWqRIKWlpoE1om3RJm6bZ5vdHXzNkkplkJpls8rxfr75e7TeTmW8m08wnn+f5Pk8cHA4HGIaB1WqFSqXivVZv1wmb48SeD0/nXWkuX76MjIyMkP+fh1w4ff7559i2bRv3d1lZGWbOnIn//M//xIsvvoiNGzeisLAQWVlZ+H//7/8hNTUVADBo0CA8+eST2LhxI1paWjBixAg899xz3H5mzZqFpqYmPPPMM7Db7Zg+fTqWLFnCPf7II49g48aNWLFiBZKSkrBs2TKMHj0aQM8/tKdjEwRBEL7hvKpOCZQoRxAuCeYMw8BgMPC+jCuJa2K3L01+xdJWgkFjYyMmTJgQkmM7E3LhdN9993G1lVwZMmQI1q1bJ/rcadOmYdq0aYKPqVQqLF++HMuXLxd8PCUlBc8//7zovr0dmyAIgpBPd3c3oqOjFUvwVUL0hItwMhqNsNls6Nu3b0D277owymq1RlQdp3CoGg6EcTkCgiAI4reHksUvgd+WcGLztQIhnKxWK2w2m1uvOl9aroSqcjgJJ4KIUCwWCzIyMlBRURHqqRBExKFkuxWgx6Xx170Kp3YrQGCEk9lsBgC3Ok5yQ3WhcpwsFgsMBgMJJ4KIRNgVLCScCEI+ZrNZUceps7PT7/zTcHGcDAYD0tLSAlI2wrkkD0skFcBk3TgSTgRBEMRVhZKhOpvNBpPJ5HcP0XARTnq9PqD5TcAV4cQwjM/CKRSOE9tuhS0wHUpIOBEEQUQIGRkZ+PDDD0M9Db9QMlTH1qXy13EKp1BdoNqtsE45K5zYJf1yhBPDMCHLcWpsbERqamrIEtOdIeFEEAQRQVRWVoZ6Cn6hZKiOFTyuLbLk0tnZ6fc+lCAYjhMreljhJCfHyWKxgGGYkDlO4RCmA0g4EQRBEEFEyVAdG2JTIscpHOr06fX6gDlOJpMJKpWKO/dsdXY5q+pcXatgQsKJIAiCuCoJhHBSIsfJ330oQSBDdWwNJ7Y5sS+Ok2ueVDAh4UQQBEFcVTQ0NABQPlSXmJioSDmCcBBOgQzVua6GYx0nOedOaGVesGhsbAyLxHCAhBNBEAQRYFpaWvC73/0OFy9eVNxxUkLwhFOoLpA5Tq41nAB5wol1nCjHiSAIgrjquXTpEo4fPx6QfTc3N8Nms8FsNiu6qk4pp+hqCNW59pjzRThRjlMPJJwIgiB+gzgcDmzdulXy9tOnT8ecOXMkb19UVIT6+npJ27IVsQHlc5yUEDyhDtV1dHTAZrOhtbU1oDlOSjhO0dHRsquNKwEJJ4IgCCKgfPbZZ1i1ahUXXvGG3CKQy5Ytwz333CNp29bWVu73cBROoXacmpub0dLSAgABrePkr+NkMpmQkJDAJZgHi46ODnR2dpJwIgiCIAIHG1ZxOBwBP4Y3XB0npUJ1SuUmhVo4AYHtUwdcWVXH4qvjFIr8pqamJgBAVlZW0I8tBAkngiAIIqCwbgqg7Ko6JQSPw+FAZ2dnSISTs8vX3NyM6Oho9OrVKyDHUmJVXSirhqtUqoC5cXIh4UQQBEEEFGfhpHRyuL+OE9u2JRTCSavVcr8bDAb07dsXUVGBuS27ih5fWq64ulbBorGxEf369QtJbpUQJJwIgiCIgOIqnMLJcVKq+rgvsLWtgCvCKVCIOU5yxAib4xRswikxHCDhRBAEQQSYQIXqlHCclKo+7gvOwimQNZwA4RwnlUoly+EKpeNEwokgCIK4aghUqK6jo8On5rzTp0+HWq0GcKVRcKiFU7AdJ7vdLjv05bqPYEHCiSAIgriqcBVOcXFxiuzX11Ddr7/+ig8//JDbR2xsrGJzkoNzjpNer0d6enrAjuWa42S1WmW3qiHHqQcSTgRBECHi2WefxUsvvRTqaQSccA/VhardiqtwCrbjJFc4hXJVHQkngiAIAv/zP/+DgoKCUE8j4AQyVKdEcnioajjJDdWxCd1Si5o641o5HJC3og6gUB0LCSeCIAgiYHR3d8NkMnF/WywWRRwnu90Ok8nkt1sUynYrruUIvNUp0mg0bs+TSldXl1vxykhwnBwOB5qamkg4EQRBEJHB/PnzsWLFCp+f7+w2MQyjWKhOqfpLoXKczGYz9Ho997eUUF1zc7Nfx/PXcQpF5fDW1lZYrdawEk7yzhpBEARxVXHo0CG/nu8snGw2GxwOhyKuBbsaTokcp1AXvwR6aiR5Sw73RzgJhdl8WVUXbMepsbERAMJKOJHjRBAEQQQM1z51ABRxnJSqvxSqUF1DQwOio6N5Y4F0nIREj+vxpewj2DlOjY2NiI2NRe/evYN6XE+QcCIIgpCJVqvF/PnzubYVhDitra1ckUU2qVkJ10Ip4RQqx0mn07k1rQ20cIrEHCc2MVylUgX1uJ4g4UQQBAEgIyMDn376qaRtz5w5g0OHDnGrnAhxDAYD+vTpA0BZx8loNCIhIcHv/mWhKkfQ0NCAAQMGcH8nJCR4zR/yVThZrVbY7XY30SP33IWijlO4ragDSDgRBEFwSM3naWpqCvBMfju0trZyYRalQ3VKOEWdnZ0hC9X179+f+7tfv35eXRVfhVNXVxcAuImeSAjVhduKOoCEE0EQhGxIOEmnpaWFC0EpGapTKjcpVDlOWq2W5zhJKX7pr3Aix0kZSDgRBEHIJJKF05o1a5CRkRG047W0tLg5Tr62N5k+fTo3d6Ucp1CG6lwdJ284r1CUAyucXEOBvjhOochxCub1KgUSThFCaWkpdu3aFeppEASBK0ukI5HKysqgHq+lpcUtx8lX4fTrr79yvysleEJZjkCu4+QrYk6fHMeJYZiQraojx4nwicOHD+Pjjz8O9TQIgkBkO05iMAwTkP06Cye2CKMSK6QiOVRntVpx+fJlWY6TzWbz+XiscHIVPXJW1XV3d4NhGBJOIOEUMWRlZeHy5cuhngZBEPhtCqdA4SyclGq3AijjFDEMExLHqbGxEQzD8Bwnb8LJuR6WXEwmE1QqlZvTJ0c4iYmvQGK1WqHX60k4Eb5BwokgwodIDtUFG1fHSUnh5G+orqurCw6HI+jCiW3um52dzY15C9U5t2eRC5vU7er0yRFOYgnmgUSv14NhGBJOhG9kZWXBaDTymmUSBBF8bDabX9/+ryYYhnHLcVLqxquEU6RUEU25NDQ0ICMjg+cABbr4pZBT5ItwCqbjxJoFlBxO+AT7zYRcJ4IILc3NzbLzgdrb23Hx4sUAzQj48ssvA7ZvfzCZTOju7uYJJ6UcJ6PR6LfjxPa7C7Zw0mq1vPwmwHuozt8Gv5EonBobG5GcnByS5H1PkHCKENLT06FSqaDT6UI9FYK4qvElv6mgoADPPvtsAGbT07rjsccew4EDBwKyf39obW0FANmhOjafxhNKOk7BLkfguqIO8C6c/MmrM5lMgk6fnFV1ochxCsfEcICEU8QQExOD9PR0cpwIIsT4kt+k0WgC1p6FvaGxIsAXLBaLUtPhwYY05YbqpHxBVEo4RUVFBX2lmGsNJ0BaqM7X1YhijpOcOk5dXV2Ijo72u8WNHEg4EX5DCeIEEXp8+ebPJgOHK4FKdm9tbUVsbCySk5MBSA/VSTlfSpQRYMVXsBvIuvapA6QJp/T0dJ+OJ1a4Um6ojkoR9EDCKYIg4UQQoaepqUn2t+5wF06BSgEwGAzo3bs3J0ykhuqkOGBKOU6hKn7p6jh5u6aam5t9TpI2m82CDYTlXMcknK5AwimCIOFEEKFHbgsIhmGg1WoDOCP/CZRwam1t5TkpSiWHOxwOdHZ2+p2bFIp2Kw6HQzDHyRuBcJzkhOqoT90VSDhFEFlZWVQ/hiBCTFNTkyzh1NbWFvZlRALpOLH5TYBywqmzsxOA/6vhQuE4NTU1wWazBV04CYkeuY5TKPrUhaNwkh7gJCQRFxfHfTDExMQo+m3mmmuuQVFRUUgaUgYC1r5PTk4OWLuHQGC32wEA8fHxQXkvlLyO2A++lJQUuo4EkHKuDQYD+vfvj4qKCqSmpnq9mdTV1QHo+XYvtm+h8aioKMHx2NhY3jibP5SYmMgbZ+eVmpqKpKQk7rWxeS3O2zrXpVJyjiaTCRkZGZw4sVqtvGuPDR+lpqZy7odzkrvYXBwOB4CeMi3sa4qLixPcXqVSic6xu7sbvXr14s4Ri/O1xH6ep6amIirqitfAzlfO+QJ6SlMAwLBhw7j3Tmx75/Or1+s5sZWQkMDb3nmOQthsNqSmpnKPs/WjkpKSeM+JjY0VPY8Mw3DvHXstqVQqt30oSVNTE4YMGRJ2n1UknBTGYrFw8fnU1FSuTogS9OrVC1qtVtF9hpLo6GjExcWhs7OTEyORAPvB3t3dHZT3QsnryHkFFl1H7thsNq/nRafTYcyYMQB6EpSdV8uVl5fjz3/+M/bt28eNnTt3DkCP4Bbbt9C4w+EQHLdarbxx1n3p6urijbPvtdFohN1u564jtueZ87YajcbjXHydo06nQ2pqKvc/w67MYp/DOnFGo5ETIufPnwfQc1MXmwubsqBSqbjXZLFYBLdnGEZ0jgaDAYmJiW7FhZ2vJbYxsdFo5Akn9nE554t9fb1793Y7d57Or9lsRnt7O9LS0gD0vLfO2zvP0ZlDhw7hrbfeQmZmJnr16sU9zt6jXOdgtVpFz2NLSwtiY2O5+llGoxEMw8BkMgXks6Szs5N3rGAg1Q2lUF0EkZ2dDYPBwP2TEAQRfDyFD959912cOHGCNxbu+U1A4Arrtra2yg7VsYn0nuoaKVHxu7GxMSShOqFSBN5g263IDdWtXbsWpaWlilQOD3aOE7t6NRxDdSScIoisrCwA1CeLIEIF225FTo5TuK+oA4KX4yRlVR0rNJ3dHVeMRiPi4+PdmtZKgf3iWVFRoUhJA7n4IpzYquFK5ziFczkC9j7n62sOJCScIghWedPKOoIIDlarFRkZGdz/HNtuRc634EgWTv7mjDn3qQOkFcCUcr78cYouXbokaz+s26NUHqbQijpvAqapqQlJSUk+Cxcl6jhJdZzYvLa2tjZZc3SlsbER/fr1C2rBTamQcIog4uPj0adPHxJOBBEk2Jvs/v37AVwJH8hxnLRarUf3RAx/WmzIoauri2uN4oq/nzW+hOqkhDb96VPHJusD0soRHDlyxKfjiCEknHJycjw+x58aToC46JEjSsTatrhSXV0NAPj555+lT1CAcF1RB5BwijiolhNBBI8LFy4AuCKgGhsbkZSUxFsN5Y36+nquSXc44unzxDlpXC4Mw7g5TlJCdQ0NDV5FQkdHh6z3wBln4dTZ2enVcWKvAaXwNVTnT8hKLMwWznWc6uvr/RKLgYSEU4RBwokggofrTZOt4SS1RQfDMKivr5dVsyfYNZ90Op3o67l48aLP++3o6IDNZvMpVOdNWPhTuNJ1BaE34aS08ydUNdwb/gonJRynYOY42e12fP3117j11luDcjy5kHCKMEg4EcFk7969WLNmTainETJqa2t5f8stfskuc5dzo3Q9ZqDR6XSir8nZnZGLa4NfoCe53pvjpNPpvApNf5K6ncVwKCqHd3V1BbX4JXvMYOU4KUFxcTF0Oh2WLVsWlOPJhYRThEHCiQgmxcXFOHbsWKinETJcHSe57VbYRGc5N0q1Wi15WyXQ6XSioUR/QnVs3pSzcAI818rp7u5GU1NT0BynUPWqCxfhJCdUJ7VyOOtibd26VTR3zhubN2/GggULPJakCCUknCKMzMxMEk5E0Aj2TTzcEArVyUlYra+vR2JiInr37i35OTU1NZK3VYLLly+LCid/QnUGgwEJCQluLoUn4cSu7pMinHwVPKyL1t3dDYvF4nE/zsVNlSIpKYkrZCkVJYRTsJr8sr0J9+zZg3HjxmHt2rW8yvTeqKmpQXFxMR566CHJzwk2JJwijOzsbBJORNC42oWTv6G6hoYGDBgwQHJOFPDbcpxc3SbAs3BqaGhAVFSUV3Hqq+PU2trKLZOX0u/OH+EohtzrAfB/VZ3dbvc7VCe3V93hw4exdu1afPXVVxg3bhzWrFnD1aPyxNatWzFu3DiMHTtW8rGCDQmnCCMrK4trEkkQgaSjoyOsql4fPHgQc+bMCdrx7HY717aERa5wElp67o1wEU52u51X80gursUvWTzdfLVaLTIzM706Ib7mODnnbLFJ+J4EmNIr6gDvbporDMP47TgBUKRyuJBrJUZ0dDSWLl2KsrIyrFu3Dt9++y3uuOMOj88xmUwoLCzEypUrJR8nFJBwijCysrK4fySCCCTBTlL2xtGjRwPiAIhRX1/vNia3towvS8+DHaoTE04NDQ1+fUHzxXGSKjR9DdVpNBoulMTiaT+B+B+Qez10dHSgu7vb73yfYDtOzsdYtGgR3n77ba/FTXfs2IGYmBjMnz9f9nGCCQmnCINtu0LhOiLQhFuY7uzZs0E9nqvb4Gu7FTmOU0tLC1epOljodDruc8UZjUYjK3nYFYPBIJjb5S1UJ0VY+COcrrnmGt6Yp3pQgXCc5DqQbDkEfx0nIbconFbVMQyDzZs3Y9myZT4JtGBCwinCSE5ORkpKCgknIuCEm3A6d+5cUI/n6jaw7VbkCqeBAwdK3j7YblNHRwc6OjoEHSeNRiNr7q60tLS4uTuA51CdVOHkT6hu8ODB3N/Jyckeq7qHg3BiowuhdJx0Op3kyuG+cuzYMZw5cwYrVqwI2DGUgoRTBEIlCYhgEOybuCesVmvQhdyFCxd4rTDYpqNyQ3VySxF4a7+hJOzniJhwchYZcnGtGs6iVKjOl+Twuro6nuMU7KrhgHzhpNfr0adPH797tvlTAPOmm24CIOxaKcXmzZsxa9YsDBo0KGDHUAoSThEICSflaWpqCnrF5nBHrVbLXjYdKGprawOyNNzbMYcMGcL9zTZaldrqw2g0wmg0ysppUavVGDp0qNyp+oxOp0N0dLRgGCgUwkmq0PQ1VCdHODEMg7q6OsXFQrCrhgOASqVCXFyc27jcUGygHKfLly/jm2++CesSBM6QcIpASDgpz4MPPogtW7aEehphA8MwOH/+fFBv4p6oqqoK+jEvXLjgJpzktFthVyTKdZyuvfZaWfP0B51Oh8zMTMFwVaCEk9jN12azobGxUbKwkOs4ORwOXLx4UbJwunz5Mrq6unjXgK+0t7dzv8sVTk1NTV6FE8MwHh9PTEwUvG7luliBynH6xz/+gcGDB2P69OkB2b/SkHCKQEg4KYvVasWpU6fclp5fzRgMBrS1tV21wolhGNTW1iI3N5cbk1uKoL6+HgkJCYJ5PmKEwnHyVMMpmI5TU1MT7Ha7ZKEp13HS6XSwWCy81+RJfNXU1CA6OlqR0GllZSX3u9xcJSmO08GDBz0+LiZ45CSHA4FxnKxWKz7++GOsXLnSY75ZOBEZsyR4UBFMZTl79iy6u7tDPY2wQq1WQ6VSKfJtWy4Mw+Bvf/sbb6yqqkpW9W1/aWxshMlk4r1+X9qt9O/fX1ZD4JqamrAQTt3d3dBqtT4LJ4fDIbscAbtUXUzIuSJXONXV1SEqKoonhDztg81x8ze3COALJ7niQIpwOnHihMfHlRJOgchx2rt3L9ra2vCv//qviu87UJBwikCysrK41gSE/1RUVIR6CmGHWq3GoEGDvDZkDQS7du3CCy+8wFV4BnpW1N1www1Bm8OFCxcQFRXFEw5y263ILX7JrlwKB+FUX18PhmHclu5Lpa2tDQzDCAonMeHQ0NCAfv36SXY1fBFOAwcO5Akhb8JJqS8OzsJJLlKqhnvLzxQ7p+HgOG3evBmLFy8Om3xKKZBwikCysrLQ2NgIh8MR6qn8Jjh16lSopxB2KJ1rs27dOq4ejTe6uroAgCu+aLPZcP78+aAKp9raWgwcOJCXUOtruxWpqNVqxMbGBnVVkacaTvHx8bKEojNiDX49IadYaFxcnGxRL1TDyVvVcE/CyVnYs7DOtasg8Vc4+VuKQCnHSQn3zZmzZ8+irKws7CuFu0LCKQLJysriivER/kPCyR2lc23eeOMN5Ofn+/TcCxcuwGKx4Prrrxd8/NixY/iv//ovP2YnfEzXm6avoTqpqNVqDBkyRPbNzB/EHCeNRoOcnByfc05aWloAyBNOOp1OstD0tRSBa+jRH8fpl19+cRs7c+YMAGDMmDHcmM1mw6+//ipztlfwFqqTEn1QynFSms2bN2Py5MkYMWJESOchFxJOEQhVD1cOm82GysrKiElKDBaByLXxtX3H2bNn0bt3b1H3Y9GiRXj66af9mZobFy5c4CWGA9IcJ+eq3744TsEM0zEMg8uXL/tVw0msl2FLSwuSk5MFl8CLIed8KVGKAPBeNdz1GvBGeXk5APDCTjU1NT4vPGEYBnq93qNwkvLFTyw3KZTCqb29HZ9//nnElCBwhu4WEUhaWhoSEhJIOClAVVUVzGZzUMNA4Y7D4Qh6krLFl1HOAAAgAElEQVQnqqqqcP3114smWdvtdsWP6VrDiXV4vYWujh07xv0ut2p4sIVTe3s7urq6RIWTp/wmb8vfxVbUeUKOQ6eUcBLbT2trK1paWkQdJ7E0iZMnT7qNVVZW+lyHqaWlBQ6Hw6Ng//nnn73uR8xxcg29HTlyhBN/gebzzz9HWlpaUBt3KwUJpwhEpVJRSQKFqKioQE5Ojqwl4791GhoaYDabw0Y4BTsxHHB3G/R6vax2Kx0dHWhrawv74peAb1XDvZWH6OrqEhROnnJktFptwIST2WyGTqeTnOPEttsRE49i7X/Ky8vdkpxPnz6NG2+8UdZ8Wdg8Kk/CS4pwEstxci2A2dTUhOPHjwc8f5ZhGGzZsgUPPPCA4nlTwYCEU4SSmZlJwkkBKioqMHr06FBPI6xQq9WIi4sLausPT1RVVQVVOLW1tcFgMLiVIgA8t1txLmnBihKpoSer1Yq6urqgF7+MjY0V/NKg0Wg8Jql7qxsECOc3iSV0MwwjaxWiXOF08eJFAJCc41RbW4uMjAzRx52dRZb29nZUV1dj3LhxvPHKykqMHDlS1nydiYmJQa9evQQfYxhGUceJ5bvvvpM+QR8oKSlBbW0t7r///oAeJ1CQcIpQyHFShlOnTmHUqFGhnkZYoVarkZubK7sdQyAIxYo6tj+Za9XwxMREjzkxP/30E/d7Q0MD4uLiJK+G0mg0sNlsISlF4BoCNZlMaGpq8hiqKy0t9bp/OVXD9Xo9LBZLwJLD2dYpro6hmDDylhh+9OhRt7GKigrExMS4uUuVlZU+O05AT8FMsRxMrVaLpqYmr4Jb7qq69evXy5ukTP7+979j7ty5kmt2hRsknCIUKoLpP2xiODlOfIIdMvJEXV0duru7MXz4cMX2eeedd+Ljjz8WfbympsbNbWBrOHkqZllSUsL9Xl9fjwEDBkhedKBWq5GcnCxYGiBQiK2oE3NnWOx2O8rKyrzuX47jxCaZs6E6tVqNuro60X37UsNp8ODBbu+fp1Cdp8RwIeF08uRJ3HjjjbyE+ObmZuh0Or+Ek7cwXWpqqtckdrnC6fjx4zhy5Ij0Scrg0qVL2LdvX0QmhbOQcIpQqAim/5w7dw5dXV0knABUV1fjtddeAyBtRd3jjz+OJ554IuDzqqqqQlpamqKC4sSJE3j99ddFHxdyG6SsqHMWTnJLEbDnXGqVcSUQq+FUV1eH5ORk0by/U6dO8XqviSG3anhaWhoniNgka7Evh3IdJ7GcLV8cJ61WKyjqysvLMXbsWN5YZWUl4uLiMGzYMFnzdcbTdcemGngT6HKF07x587Bhwwbpk5TB1q1bkZeXh4kTJwZk/8GAhFOEwhbBJHynoqICAwcO9Lvz+G+Bv/3tbygsLAQgrfjlF198ge3btwd8Xmx+UzAFhdAydKvV6vEG1tHRwVtRJbdqeChcPk+Ok5A7w1JSUiIpZ0dIeImF6sRKEezbt09we18cJ6HQo9h+ampqRF2co0ePCorC8vJywfym66+/3q8EaG+Ok3PNKDHEzrtYOP6pp55CUVGR1/pTKpUKH3zwAd599118++23UKvVHle5OhwOfPrpp1i5cmVQ/6eVhoRThMLmOHlbFkyIE6zE8P3798sqnBhsLBYLvv76a+53jUYTNqG6YCeGA+JhGk/v4ZEjR3g3x3Cv4QTA5xpOJSUlkrrYC/UWFKvr1NDQIDiX3bt3C27vS46TVMepq6sLWq1W1HE6evQoJkyYwBvT6XRoaGgQFE7+hOkA8abADMN4/Qxja6cJOU4xMTGi4mX06NGYMWMGNm7c6HFu69atQ05ODv7v//4PTz75JCZNmoTx48cDEG+tY7FYsHDhQo/7DXdIOEUoWVlZMJvNkixzQphgJYZ/9dVXAT+GPxw4cICr9KzRaGC3238TwmnWrFmYN2+e7OeJhWk8ragrKSnhhR58qRoeLo6TmMgAelYOHj16FNOmTfO6fyHHyVOOk5DQLC0t5dq3OCPHcWIYBnV1dYLvqdB+2FIEnoSTa5ipvLwcKSkpuO6663jj/q6oA8Qdp0uXLkGv13sUTuyCBSHh5M0Fe+qpp7Bjxw4u502IRYsWcW7T+fPn8csvv2Dbtm0oKCgQXZV57733elxkEQmQcIpQqHq4f9hsNpw+fZrym9ATdmO/wavVaqSmpoaFQ2a32/1aUVdeXi47wZV1G+Q6TiUlJTwxIbf4ZUNDQ9gIJ0+O04kTJ2C1WjF58mSv+xdynMRCRmLCqVevXigqKnIblyOcWltbYTQaBV+TkHhQq9VISUkRdHo6OjpQWVnpJpxOnjyJsWPH8lyW7u5uVFVVBUw4/fzzz+jVq5eowHO+NwgJJ2+rZqdNm4ZRo0Zh06ZNkuapUqmQnZ2NW2+9FQsXLnRzs9h8qn/7t3+TtL9whoRThNK3b1/ExMSQcPKR6upqSgxHT+2Z/fv3Y+7cuQCuOB/hkH+g0WiCXtWdTfoVuhmJCSeDwYDTp0/jlltu4cZaWlo8huoYhnGrhRTMGk5AT96WpxwnIUpKSjB27FhJwkWO4yQW2rzzzjuxZ88et3E5wqmjowOA+CpBV9hyHEL/Az/99BNiY2PdPjfKy8vdco3OnTsHm83md6hO7Lpj85vE/le//PJL7nchweqt3YpKpcKTTz6JTz/9VMZsxRk3bhz2798fNm62P5BwilCioqKoCKYfVFRUYMCAAWHhrISS3bt3IzU1FTNmzAAQXqUIqqqqkJqaKivk5S8XLlxAWlqa4E1fLFRXVlaG1NRUt7Cv0LwZhsH333+PuXPnYsmSJdx4RkaGaJHDQCIknFpbWz0KJ2eB6Akhx8lTqE7ofN111104cOAAOjs7eeNyk8PT09MlP+fixYsew3Rjx47lvQ6HwyGaGD5gwADZrWdcEXOcPOU3MQyDwsJC7nX4EqoDgDlz5sjK1fNETEyM2zmKVEg4RTBUy8l3qGJ4D19++SXmz5/PffsMN+EU7BV17e3tGDJkiOAxxUR2SUkJpkyZwvsGHxMTw9ueYRiUlpZi9uzZuO+++3D99dfzwojBdpuAnpupa3sQFqEVaJ2dnThx4oRfwkksVGc2mwWF0/Tp0xETE4MDBw7wxuUmh3sq5imEpxV1ronhtbW1aG9vD0hiOCAsnNiK4WIr6k6cOIHq6mosXboUgG+hOnab//iP/5A5498+JJwiGKoe7jsknHq+5ZeWlmLx4sXcWLgJp+uvvz7oxxVzG8QcJyEXpn///rx8l88++wwAMHLkSBw7dgzvvvsu7zih6FGXlZUlKBD79OkjKEyOHDmCmJgYbtWUN4RCQWKOEyDcniY+Ph6zZs1yC9fJdZykhulYhK4Bq9WKEydOCOY3ZWVluQk/JRLDAWHhVFdXh7a2NlHhVFhYiBkzZnDn1FfHCQDv84HogYRTBENFMH3DbrejsrLyqm+1snPnTgwZMoT7ptzZ2QmdThc2wikUzX0BcbdBaCWQVqvF+fPn3YSTqwhgK2OvW7dOcLVRsM55Y2MjKisrAQiH6QCIroYqLS3FhAkTRF0jKYgJp8TEREGHCugJ1xUVFcFisXBjgXachBzA06dPw2QyuTlOJ0+exLhx43gilGEYxRwnoevu559/Rr9+/QT7SXZ2dmLXrl247777uDGh90xqSyX2PfPUguZqg4RTBEOOk29UV1fDZDJd9Y7Tl19+iUWLFnEf+GweSSjCRkJcunQpJMJJ7AYh5M6UlpYiIyPDrSWM3LyQYAmn1atXc7+LCSdP+U1SyhB4Qkx09e/fXzQkO3PmTFitVl5l9kA7TkLi+ejRo8jLy3MTeEIVw3U6HQwGgyKOkxCnTp3C6NGjBc/Z7t27ERsbi9mzZ3Nj/jhOLN6Sya8mSDhFMCScfKOiogL9+/f3WJfnt87Zs2dx+vRpt0J0mZmZsr/NB5JwcpyEYMWE6w0sHIXTjz/+iC+//BL//u//DkBcOIm5M6dOnZJU+NITYo6Tp/OVkpKCf/qnf+KF6zyF/ISQ65YIzUeofhMA/PLLL275TdXV1UhKSgqYS9PV1eUxTLdw4ULeORIrgEn4BgmnCIaEk29QflOP2zRu3Di3G3a4hOmAnpWjcmohKYUc4VRaWiqYLC13JWCgwyAWiwVPP/00HnjgAe4mL9dxSklJkfx/I1bg0BfhBPSE6/bu3Svp2ELIdZyEwlhiwslisbiJGJvNhry8PMnhMF8QEk41NTU4dOgQL0wHkHBSGhJOEUxWVhY6OjrcluoSnqmoqKD8pp07sWjRIrfxcBJOwV5RxyIkKMRcuKamJkHhJFfw+ZM3JIUPPvgAer0eL7zwAjcmN8fJdeWgJ8QaBIsJJ7G5sMyaNUuwgrgn2DZCgPz3QwiDwSAonIYOHSpYSkKJ/CZPCInYbdu24aabbsJNN93EG/eljhMhDgknL3R0dOCNN97A0qVLsWLFCnz77behnhIHVQ+Xj91up4rh6PmWvGDBArfxcBJOoVhRBwj32BIL62ZmZgq6RUrVvlGCS5cu4e2338batWvRu3dvOBwOAPJDdXLym8QSvX11nPr06SP5+A6HA6+//joeeeQRbkyOSBBz/7KzswWTscVqEwUqv4lFyNXctm2bm9sUFRUl2COQhJPvkHDywocffgi73Y4tW7bgpZdewqeffopTp06FeloAepapqlSqsBdOFy5cQHV1tdftGIaBRqNBcXEx9Hp9QOZy/vx5mEymsHacfvnll4BfYzfddJNgXSJ/hdPBgwdx6dIlv/bB4ppwHUrEajiJ1TQKJ+H0wgsvYMyYMVi2bBkAcP9bch0nqfWbAHfHiW1G7qtwAnrCdd5ob2/H/fffj82bN6OwsNDjtmLCQex/YMKECYIOqGtiOEsgHafo6GjBuej1ere8xYSEBMFtSTj5DgknD5jNZpSVlWH58uVISkrC0KFDMXPmTHz33XehnhqAK0X2giWcGIZBc3MzfvnlFzQ0NLg9Xl5ejh9//NFt/E9/+hOmTJmCW265BW+++SZ+/fVXMAyDpqYm7Nq1C3/5y1+wePFiDB8+HL/73e9w//3348Ybb8TChQuxdetWNDY2AuhpweENs9mM2tpaHDp0CDU1NW6PHzhwAFFRUV5DA77AMAwKCgokb19bW4t9+/a5jc+cORO33XYbgJ5cCa1Wi1OnTuH7779HW1sbb9v29na8+uqrMBgMbvvZsmUL1Go1DAYD7HY7AHBLusVqs/gqnBiG4bqez5kzR/LzNm7cyN1UXQmF4ySWC+MqnFjXRswFCaeK9D/88APefPNN7ubpXMdJCKF8GADIy8uTfExXx8lqtQIQD0lKEU533nmnx8drampw5513oq6uDkVFRZg5c6bH7cVW5rk26mURCtMB4o7TiBEjPB5fCmLOnVhi+Jw5c9wqlSclJQluK3dVHXEFkpweqK+vB8D/ML322mt53e6bm5vR3NzM/R0VFcV9aKpUqoAmBwI93xr37t0Lo9EoafvKykr06dMHsbGx3I/JZMKWLVswePBgZGRkoHfv3ujbty+6u7uhVqthNBqh0+mg0+l4tVTmzZuHtLQ07ueNN94A0PPPnpOTg0GDBiEnJwdqtRrLly/H0KFD8fXXX+Ott97CsGHDOBdq+vTpGDNmDO6//36MHTsWgwYNwvHjx/H111/jnXfewZ/+9CeoVCrY7Xa88MILvOabRUVF2LdvH0aMGAGtVouWlhbe650xYwY6OjpgNBphNBo5wef6vpSVlaGsrAzt7e2w2+3cz5YtWxAVFYWHH34YSUlJSEpK4kTIpk2bUFdXh4SEBCQkJODkyZPYvXs3jh49ikGDBiEpKQmJiYnYv38/AODNN9+EXq9Hc3Mz9Ho9ysrKuHH2pub8zTAvLw96vd5NWMydOxcXL15EXV0dl/exYcMGvPPOO9w2FosFzz//PO95aWlpaG9vBwDccccdvHMQFRWFqKgoXHvttbzxCxcu4MiRI3jrrbcQFRWF6Oho3uO5ubmwWCy860Kr1eL999/ntmW337lzJ5KSklBfX4+GhgZUVVUB6FkiP27cOGRnZyMzMxMVFRXc63c+VnNzM3Q6HV577TXExcUhPj4esbGx6OrqAgD893//NxiGgUql4p3H/Px87j1iHQ+DwYANGzYgOjoaMTEx3Lfv3Nxc3jHZ37OysnjjtbW1AHquXefx1NRUGI1GwdCI8/6kjr/zzjuIjY1FTEwMd6P77LPPoNfr0bdvX/Tp0wfd3d0AenJ6nIU1m1bw+OOP48Ybb+Q+j9gvWmItXsTmInajXbJkCfr168fNB+hxYZz3wwqnxMREt+sOAHJycgSP6zw2cOBATJw40W0fAHD48GFotVrcdddd2LRpk1tOmtC+Xd9rVmCMGDGCN85eS1OmTBHcz6hRo9xeU25urqzzK3avGD58uOD5cj2/7ByXL1/utn1CQoLbvqOiohATEyPrenSeYzDubeEMCScPmM1mt29fycnJ3Ac1AOzYsQMfffQR9/eKFSt4JerFPkCVYsGCBdixYwd3E/IEwzAwGAwYPHgwkpKSYLVaYbFY0NnZCZvNhtmzZ8NoNEKv16O2thZarRYdHR148MEHMXDgQO6nqKgITz/9NHJzc9HW1gatVouzZ89i5MiRmDhxIubOnQuNRoO6ujpoNBpkZ2djyZIlmDdvHvLz81FbW4sdO3Zg165d2LBhg+A3ttmzZ2P27NnYtGkTjh07hg0bNqCwsBDbtm3jfWtlhdBjjz3Gm+Nnn32GVatW4ZZbbkFqaion7n7/+99j0qRJgt/KTCYTGhoauA8U9mbqcDhgMBhw6dIlmEwmLhl/wIABqKmpgdlsRldXF+f6pKSkQKfTwWQywWQycaLi5MmTyMjIwDXXXIPx48dzwukf//gH9/6wImnkyJHIz89HdnY2srOzkZWVhczMTHR1dSE3NxczZ85Ebm4ucnNzuW+ff//733mvafTo0fjkk08QExODlpYWGAwGHDt2DGvWrHHrt3XzzTdj5cqVbk4cm0dx8uRJ2O12OBwOTjgCwOeff474+HhOyLDfyvft28cToEBPaDkqKgqTJ0/GoEGDkJmZiYULFyI/Px9JSUnQ6XTQarXc+3vzzTfzwgnsardz586hu7sbFouFEw1AzzJs9hw6i836+np0dXVx7xNLcXExbDYb7HY7bDYbAODJJ5/kXRvsuXUdZ5fljxo1ijfHgoICLFu2zO36evTRR7F161a38YkTJyI1NVW0n9nhw4dhtVq5HwB44IEHkJ2dDb1eD61WyzlIP/30E9RqNfdc1ql94403OHclLi4Od999N3bs2OF2zAULFuCrr75yGx8wYACys7MF55iWloYpU6ZwXwiqq6tx8803Y8mSJbzt2c/B22+/nTc+evRo3HPPPRg2bBgvt+yBBx7ADz/84HbM5557DtXV1W7j2dnZSElJwf/+7/+65ag9++yzgnNfu3Ytb3zy5MkAgEWLFvFa0Tz++OPYvXs3pk2bxnuvn376aaxfv94t1+iWW27hiUiWkSNHIjc3V3AuDz30kOD4mjVreONsuPQPf/gDb/wPf/gDioqKsGDBAp6gmTRpEhYtWuS27+nTp2PgwIFu43l5eRg+fLjgXFauXCn4nl6NqBgxn5yAWq3GqlWrsHPnTm7s+++/x1dffYX169cD8Ow4JScn04o3D0RHR3MuiPPNmOBD15Fn6DqSBl1H3qFrSRq/1WtJakNmcpw8wC5hvXjxIpcwWVtby1t1kp6ezusl1NzczP3DMQxD/3wScHYlCHfoOpIGXUeeoetIOnQteeZqv5YoOdwDCQkJmDp1Kj799FOYTCbU1taiuLiYS9wlCIIgCOLqghwnLzzyyCPYuHEjVqxYgaSkJCxbtuyqrwFEEARBEFcrJJy8kJKS4rY6iSAIgiCIqxMK1REEQRAEQUiEhBNBEARBEIRESDgRBEEQBEFIhIQTQRAEQRCEREg4EQRBEARBSISEE0EQBEEQhERIOBEEQRAEQUiEhBNBEARBEIRESDgRBEEQBEFIhIQTQRAEQRCEREg4EQRBEARBSETFMAwT6kkQVyfNzc3YsWMHFi5ciPT09FBPh4hQ6DoilIKuJUIK5DgRIaO5uRkfffQRmpubQz0VIoKh64hQCrqWCCmQcCIIgiAIgpAICSeCIAiCIAiJROfn5+eHehLE1UtiYiLGjx+PpKSkUE+FiGDoOiKUgq4lwhuUHE4QBEEQBCERCtURBEEQBEFIhIQTQRAEQRCEREg4EQRBEARBSCQm1BMgfrtYrVYUFBSgoqICRqMR6enpWLx4MWbMmCG4/d133434+HioVCoAwIgRI0BrFwgx3nvvPRw8eBAxMVc+xt5//31kZGSEcFZEOLNkyRLe3xaLBePHj8eLL74ouD19JhFCkHAiAobdbkffvn3xl7/8BZmZmTh79ixeffVVZGdnY/jw4YLPeffdd5GTkxPkmRKRyvz58/Hggw+GehpEhLB9+3bud7vdjoceeghTp071+Bz6TCJcoVAdETASEhKwbNkyZGdnIyoqCiNGjEBeXh5+/fXXUE+NIIirnJMnT8JsNmPKlCmhngoRYZDjRAQNs9mM8+fPY968eaLbvPjii7Db7Rg2bBhWrFiBwYMHB3GGRKSxf/9+7N+/H+np6Zg3bx7uuOOOUE+JiBCKi4txyy23ID4+3uN29JlEuEJ1nIigwDAM3nzzTXR3d+Oll17icgacOX36NG644QZYrVbs3LkT3333HTZt2kSF6AhB1Go1MjIykJycjDNnzuCvf/0rnnjiCXIQCK+0t7djxYoVWLt2LW644QbR7egziRCCQnVEwGEYBps2bYJer8cf//hHQdEEACNHjkRsbCySkpKwfPlyREdHU1iPEGXo0KFIS0tDdHQ0brrpJtx1110oKysL9bSICOCHH35A//79PYomgD6TCGEoVEcEFIZhUFBQgJqaGqxZswYJCQmSnysmsAhCCJVKBTLQCSkUFxfj9ttvl/08+kwiAHKciADz4YcfoqqqCqtXr/Zob2s0GqjVatjtdnR3d6OwsBAWi8XrN0Li6qW0tBQmkwkOhwNnzpzBnj17MGnSpFBPiwhz1Go1NBqNaFkUFvpMIsQgx4kIGI2Njfj2228RGxuLlStXcuOLFi3CkiVLsGTJErzyyiu48cYb0draig8++ADNzc2Ii4vDddddh9WrVyMlJSWEr4AIZ3bv3o33338fDocD6enpWLZsGaZPnx7qaRFhznfffYfx48ejT58+bo/RZxIhBUoOJwiCIAiCkAiF6giCIAiCICRCwokgCIIgCEIiJJwIgiAIgiAkQsKJIAiCIAhCIiScCIIgCIIgJELCiSAIgiAIQiIknAiCIAiCICRCwokgCIIgCEIiJJwIgvCL/Px8qFQqward+fn5PlVa3rp1KwoLC5WYXlAQep0qlQoqlQoFBQVu2x87dox7/KeffuLGZ8yYwY3HxMSgX79+mDp1KtasWQO9Xu+2H3Zb9ic7Oxv33HMPzp49q/yLJAgCAAkngiAUoqSkBAcOHFBkX5EmnMRISUkRfB2FhYWignLq1Kk4fPgwDh48iI8//hi33nor3nvvPYwcORKnTp1y2/7JJ5/E4cOHcejQIaxfvx5nz57FP//zP6Ozs1Px10MQBAkngiAUIDk5GRMnTsTq1atDPZWwYv78+SgtLcXFixe5MYfDge3bt2PBggWCz+nduzcmTZqEKVOmYO7cuXj99ddRXl4OoKeXmsPh4G0/ePBgTJo0CZMnT8bSpUtRUFAAjUaDEydOBO6FEcRVDAkngiAU4eWXX8bBgwfxww8/eNzOYDDg4YcfRkZGBhITEzFhwgQUFRVxj8+YMQM//vgj9uzZw4Wg8vPzAQB79uzBHXfcgczMTKSlpWHixInYt2+f17mxobRTp05h2rRpSEpKwsiRI7F//37edg6HA6+//jpyc3MRHx+PYcOG4b333pN9LljGjBmDvLw8bNu2jRs7cOAADAYDFi5cKHk/gwcPxksvvYSqqip89913HrdNTU0FAFitVt8mTRCER0g4EQShCHPmzMHNN9/MiRwh7HY7Zs+ejV27duG1117Djh07kJWVhTlz5uD7778HAGzatAljx47lQlaHDx/Gww8/DACora3FvHnz8Mknn2DHjh2YOnUq5syZ41WsAT1CYvny5VixYgV27dqF9PR0LFy4kJc7tGrVKrz00ktYvnw5vvnmGyxYsADPPPMM1qxZ4/N5uffee3nhusLCQsyePRu9e/eWtZ9Zs2YBAA4fPswbdzgcsNlssFqtUKvVeOGFFzBgwABMmTLF5zkTBOEBhiAIwg9eeeUVJjk5mWEYhvnmm28YAMwPP/zg9hjDMMzXX3/NAGD27NnDjdntdiYvL4+59dZbubFbb72Vueuuuzwe1263M1arlZk1axZz7733ep2j63Grq6sZAMwnn3zCMAzDNDU1MbGxscyqVat4z/3973/PJCcnM0ajUdI5YAHAvPXWW4xarWYAMGfOnGHMZjPTq1cvZvv27cz333/PAGCOHz8u6XWbzWYGAPPoo4/yjuH6k5mZyRw5csTj+SAIwnfIcSIIQjHmzp2LcePGieY6lZSUIDU1FXPmzOHGoqKisGTJEhw6dAh2u93j/i9duoQHH3wQAwcORExMDGJjY1FUVIRz5855nVtUVBRuv/127u/rrrsOcXFxuHTpEgDg6NGjsFqtWLp0Ke959957Lzo7O7k8I7lce+21mDRpEgoLC7F7924wDIN58+bJ3g/DMAB6VtI58/TTT+P48eM4fvw49uzZg/Hjx2POnDk4ffq0T/MlCMIzMaGeAEEQvy1efvllLFiwACUlJW6PtbS0ICsry208OzsbVqsVHR0d6NWrl+B+HQ4H7r77brS1teHVV1/Fddddh+TkZLz88svQaDRe55WYmIi4uDjeWGxsLMxmMzc3di6ucwN6crN85b777sP69etx5swZ/Mu//AsSEhJk7/fWqcIAAAMiSURBVIMVeK7zy8nJwfjx47m/b7vtNuTk5GD16tX44osvfJ4zQRDCkHAiCEJR5s+fjzFjxmD16tWYNm0a77G+ffvi8uXLbs/R6XSIjY31WPPp/PnzKC8vx1dffYX58+dz411dXYrMu2/fvgCAy5cvY+DAgby5OT/uC0uXLsUzzzyD2tpa7N2716d9sIns3nKX4uPjce2115LjRBABgkJ1BEEozssvv4zi4mKUlpbyxqdNmwaj0chbCedwOPDFF19gypQpiI6OBgDExcVxThALK5CcXaO6ujqUlZUpMucJEyYgNjYW27dv541//vnnSE5Oxrhx43zed2ZmJp577jksXrwYt912m+znazQarFmzBnl5eZg5c6bHbc1mM9RqNdLT032dLkEQHiDHiSAIxVmwYAFGjRqF4uJiJCcnc+N33XUXJkyYgPvvvx+vv/46cnJyUFBQgKqqKrz//vvcdnl5efj444/xzTffoH///hgwYACGDx+OnJwcPP/887Db7ejs7MQrr7zCc4f8IT09HU899RTWrVuH+Ph4TJ06FcXFxfjwww+xevVq3uvwhb/+9a+StmttbcWRI0fAMAwMBgMOHTqEgoICxMfHY/v27YiK4n/f1Wg0OHLkCACgqakJmzZtgl6vx6OPPurXfAmCEIaEE0EQiqNSqfDyyy9j0aJFvPHo6Gjs3bsXq1atwp///Gd0dHRg1KhR2LNnD2bMmMFt98c//hHnz5/HAw88gNbWVrzyyivIz8/Hzp078cQTT2Dx4sUYNGgQXnzxRRw4cIDXtsQf3nzzTfTp0wcfffQR1q5di8GDB+Ptt9/GM888o8j+pVBWVobJkycjOjoavXr1wg033IBnnnkGjz32GPr16+e2/YYNG7BhwwYAPcUz8/LysGvXLtECmwRB+IeKYZdqEARBEARBEB6hHCeCIAiCIAiJkHAiCIIgCIKQCAkngiAIgiAIiZBwIgiCIAiCkAgJJ4IgCIIgCImQcCIIgiAIgpAICSeCIAiCIAiJkHAiCIIgCIKQCAkngiAIgiAIiZBwIgiCIAiCkAgJJ4IgCIIgCIn8f0+TgUD/Qm5FAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (107804596432)>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#criando um gráfico que correlaciona likes no Facebook e nota do IMDB\n",
    "ggplot(df)+\\\n",
    "aes(x='imdb_score', y='movie_facebook_likes') +\\\n",
    "geom_line() +\\\n",
    "labs(title='Nota no IMDB vs Likes no Facebook do Filme', x='Nota no IMDB', y='Likes no Facebook')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3NzExMRw7doz09HTi4+MZNmyYOV4PDw8AMjMziYyMZPLkyaiqiq+vL6mpqUWS9+vLLry9vcnKyjK/9vHx4cSJv5ff2Nra8vTTTwPQpUsX6tSpU+oMf3Hbt29n3LhxADRr1oxevXqxc+dOc3lZX1shipM1wkIIIQrVquLuD1VtV47atWubP7e2tsZkMgGgaRqjR4/mzTffrFQ/rVq1olWrVowZM4YePXoQERHBiy++WOYYp06d4oUXXuDAgQM4OzuzZ88ehgwZAkCdOnUwGAx8+eWXNGvWjK5du/LSSy/h6OhIUFAQAO3bt8doNPLjjz/y+eefM3fuXH7++edy7+nll1+madOmrFixAp1Ox2OPPVZkGUJZ7QAMBgO7d+8mISEBf3//Mt+H62uEjx49SkBAAF27dqVnz55omkZ4eDitWrUqUj89Pb3M9dQFBQUoisKBAwewsSn9a389Zmtr6xKvb4y/OE3TKr2Ou3i9G1+X954JcSOZERZCCAGAlWOzqrVrWbV2VdG7d29WrVplnuHLz88nJiamRL2MjAy2bdtmXk+blpZGUlISzs7O5fafnp6Ora0tTZs2paCggMWLFxcpDw4OZsaMGQQHB1OrVi0cHR1ZsWIFwcHBACQlJVG/fn0GDRrEe++9R0xMTIU7NKSlpdGyZUt0Oh3x8fEW7Yzg7e3Nd999x9NPP82uXbsqrO/i4sKbb77Jq6++CkCfPn2YO3eueV3wpUuXzPeg1+tZs2YNANHR0cTFxQGF64w7derE3Llzzf2eOXPGvObZErm5ueYxoqKiyM7OxsXFhfr165OVlVVmAhsSEsKSJUsAOH/+PJs3b6Zr164Wjy+EJMJCCCEAsFZdq9bOULV2VdG5c2dmz55Nnz59MBgM6PV6NmzYUKKepml89NFHuLq6YjAY6NChA0OHDqVfv37l9u/h4cGAAQNo06YNQUFBJRLn6w/PXU98g4ODuXTpEr6+vkDhjhdeXl6oqkqPHj1YvHgxVlbl/6h99dVX+fTTT2nXrh2zZs2ic+fOlrwleHh4sGnTJsaMGcPWrVsrrD9u3DgyMzPZsGEDCxYswNraGoPBgIeHB6GhoZw9exaAVatW8eGHH+Lt7c2nn35aZMZ59erVJCQkmB8KfOqpp0hLS7MoboBGjRpx/Phx/Pz8+Pe//82XX36Jra0t9913H0OHDsXDw8P8sNyNFi5cSGxsLJ6ennTr1o25c+fSpk0bi8cXQint6dN7kaIoTkBSUlISTk5ONRuMEELcAomJiea1oWXJi9hp0RZqVm0eweZxmYkTlru+dd6lS5dqOhRxFyn+fS45Ofn6L7TOmqYlF68vM8JCCCHMdN07ojS7v1J1lWb3o3us4y2OSAghbh1JhIUQQpgptjbYDOqFVZtHyq1n1eYROV5Z3BQnJyeZDRY1TnaNEEIIUYRia4PN413ROrUlP/a3wn2Cc/Kglg1WLZthbXC1+CQ5IYT4J5JEWAghRKmUBvXQdW5X02EIIcQtI4mwEEKIUmlXr5B/eB8FKf+D3GywrY2VYyusPf1RGtxX0+EJIcRNk0RYCCFEEVpuDqYf11GQeAgourNQ/tkk8vf/hJWbF7pu/VFsa9VMkEIIUQ3kYTkhhBBmWm4OeWsXU5B4kOJJ8A21KEg8SN7axWi5OVUa5/oRye7u7uh0OlRVRVVVRo0aRWRkJG3btq3yPZij1DQ+/PBD9Ho9rq6ueHl5ERoayp49eyzua+TIkSxatAiAy5cvExAQgKqqzJs3r9x2CxYs4MKFC+bXM2fOJCwszOLxhRC3hswICyGEMDP9uA7t/OlK1dXOn8a0fT02PYdYPM7+/fuBv/eSNRqN5rLIyEiL+yvNa6+9xq5du9i6dSstWrQAYMeOHcTFxZV6SENlbd++nYYNG1YqoV6wYAEhISE88MADVR6vOJPJhE4nP76FqA4yIyyEEAIoXBNcuByi8goSDqJdvVLtsZhMJsaNG4enpycGg4HExERz2cqVK/Hz88PHx4egoCCOHj1aon1GRgbz589n6dKl5iQYCk+CGzduHFB4PHNYWBh6vR69Xk9YWJj5qOGzZ88SHByMwWCgb9++5m2+du7cyZQpU/jll19QVZWoqCjWrFmDn58fXl5eeHl5sWPHDgBmz55Namoq/fv3R1VVEhISzH337NkTV1dXevXqRVZWFlB43PCUKVPw9fVFVVWGDRtGRkYGUDgjPWnSJEJDQ/Hz86vut1uIe5YkwkIIIQDIP7yPspdDlEX7q131OnLkCOPHj+fw4cMMHDiQWbNmARAVFcXatWvZvXs3MTExTJkyhdGjR5don5CQQO3atXFxcSlzjCVLlmA0Gjl48CAHDx7k0KFDLFmyBIDJkyfTuXNnYmNjee+999i1axcAXbt25c033yQkJASj0UinTp3o3r07+/bt49ChQ3z11VeMGDECgFdeeYXmzZuzbt06jEYj7u7uAPz666+sWbOGxMRE8vLyWL16NQDvvPMODRo0IDo6GqPRSPPmzXnrrbfM8e7du5f169cTExNTDe+wEAJkaYQQQoi/FKT877a2K4+LiwteXl4A+Pv7ExERAUBERASxsbHmWVFN0/jjjz8q7C8tLY3AwEBycnJwc3Pj22+/Zfv27YwcORJbW1sARo0axXfffcdzzz3Hzp07WbhwIQCtWrUiODi4zL5PnjzJ4MGDOXv2LDY2Npw/f57z58/TtGnTUut3794dBwcHoHCt9MmTJwHYuHEj6enprFu3DoCcnBwMBoO5Xf/+/albt26F9yqEqDxJhIUQQhTKzb697cpRu3Zt8+fW1taYTCagMPEdPXo0b775Zrnt3d3dyc7O5vjx47Ru3RoHBweMRiObNm1i/vz55r4URSnSrvjryhg8eDDvvvsuffv2paCgADs7O7Kzy35Pit/bn3/+aY7n448/JigoqNR29vb2FscmhCifLI0QQghRyLZ2xXWqs10V9O7dm1WrVpGSkgIUrvMtbamAvb09L774ImPGjCE1NdV8PTMz0/x5t27dWLFiBXl5eeTl5bFy5UpCQkIACAoKYvny5QAkJSWZ1/2WJi0tDWdnZwA+++wzcnL+3kmjfv36XL16tVL31qdPH9577z1zYnzt2rUia6OFENVPZoSFEEIAYOXYivyzSVVqd7t07tyZ2bNn06dPH/Lz88nNzWXAgAH4+PiUqDt79mw++OADunXrRn5+Po0bN8bBwYEZM2YA8Oyzz3LixAnzEozu3bszduxYAD744AOGDx/ON998g4uLC926dSszpgULFtC3b19atGhBly5daNSokbls8uTJjBo1Cjs7O9asWVPuvU2fPp2ZM2fSrl07rKysUBSFGTNm4ObmZvH7JISoHEXTLH0w4u6kKIoTkJSUlISTk1PNBiOEELdAYmJiuUmVdvUKuZ/OwbIH5hRsx74sJ80JIf4Rin+fS05Ovv4XG2dN05KL15elEUIIIQBQGtyHlZuXRW2s3L0lCRZC3LEkERZCCGGm69YfpemDlaqrNH0QXciTtzgiIYS4dSQRFkIIYabY1sJm4His3H2AsnZQULBy98Fm4HgU21q3MzwhhKhW8rCcEEKIIhTbWtj0HILWIZT8w/sK9wnOzQbb2lg5tsLa01+WQwgh7gqSCAshhChVgZJNns0pTLXj0KwyUWzrorOxRlFUrGs6OCGEqAaSCAshhChCy8siK/Jtco9vo/gOEqZzsWQfXIVt68ewC5yGYmNXM0EKIUQ1kERYCCGEmZaXxbUNE8m/kFBeLXKPbyX/6hnqPbFIkmEhxB1LHpYTQghhlhX5dgVJ8N/yLySQteudKo3j5+eHqqq4u7uj0+lQVRVVVRk1ahSRkZG0bdu2Sv3eSNM0PvzwQ/R6Pa6urnh5eREaGsqePXss7mvkyJEsWrQIgMuXLxMQEICqqsybN6/cdgsWLODChQvm1zNnziQsLMzi8S2lKAqenp4YDAa8vLzKPRmvLOHh4URHR5dZfuN7smLFCvr371/leIWoKTIjLIQQAoD89NS/lkNUXu6xrdT2fRbr+s0tard//36gcLP7tm3bYjQazWWRkZEW9VWW1157jV27drF161ZatGgBwI4dO4iLiyMgIKDK/W7fvp2GDRtWKqFesGABISEhPPDAA1UerziTyYROV/GP7z179mBvb8+GDRt46qmnuHDhAlZWlZv/ys/PJzw8nLZt2+Lr63uzIQvxjyUzwkIIIQDITdiAZafKAWh/tateJpOJcePGmWc1ExMTzWUrV67Ez88PHx8fgoKCOHr0aIn2GRkZzJ8/n6VLl5qTYIDg4GDGjRsHFCZ7YWFh6PV69Ho9YWFh5OfnA3D27FmCg4MxGAz07duXS5cuAbBz506mTJnCL7/8gqqqREVFsWbNGvz8/PDy8ioy+zp79mxSU1Pp378/qqqSkJBg7rtnz564urrSq1cvsrKyAMjNzWXKlCn4+vqiqirDhg0jIyMDKJx9nTRpEqGhofj5+Vn0Xnbr1o3Lly9z+fJlhg4dStu2bfHw8KBfv3788ccfQOEvH6qqMmnSJPz9/dm0aRMbN25k7ty5qKrKqlWrLBpTiDuFJMJCCCEAMJ0zVlypGtuV58iRI4wfP57Dhw8zcOBAZs2aBUBUVBRr165l9+7dxMTEMGXKFEaPHl2ifUJCArVr18bFxaXMMZYsWYLRaOTgwYMcPHiQQ4cOsWTJEgAmT55M586diY2N5b333mPXrl0AdO3alTfffJOQkBCMRiOdOnWie/fu7Nu3j0OHDvHVV18xYsQIAF555RWaN2/OunXrMBqNuLu7A/Drr7+yZs0aEhMTycvLY/Xq1QC88847NGjQgOjoaIxGI82bN+ett94yx7t3717Wr19PTEwMAKqqkpqaWuF7uXbtWhwdHbn//vv54IMP+PXXX4mLi6NNmza8/fbb5npxcXEMGTKEffv28cQTT9CnTx+mT5+O0Whk+PDhFY4jxJ1IlkYIIYQAQMvNvK3tyuPi4oKXV+Fxz/7+/kRERAAQERFBbGyseVZU0zTzrGZ50tLSCAwMJCcnBzc3N7799lu2b9/OyJEjsbW1BWDUqFF89913PPfcc+zcuZOFCxcC0KpVK4KDg8vs++TJkwwePJizZ89iY2PD+fPnOX/+PE2bNi21fvfu3XFwcAAK10qfPHkSgI0bN5Kens66desAyMnJwWAwmNv179+funXrml/fuJykNAEBAVhZWdGkSRPCw8MBWLVqFatXryY3N5fMzEweffRRc/3WrVvTvn37cvsU4m4jibAQQggAFNu6FVeqxnblqV27tvlza2trTCYTUJj4jh49mjfffLPc9u7u7mRnZ3P8+HFat26Ng4MDRqORTZs2MX/+fHNfilL09Lzirytj8ODBvPvuu/Tt25eCggLs7OzIzs6u9L39+eef5ng+/vhjgoKCSm1nb29vUVzX1whfFxUVxSeffMKePXu4//77WbNmjXkGvCr9C3E3kKURQgghANA1U29ru6ro3bs3q1atIiUlBShc53t9qcCN7O3tefHFFxkzZkyR5QOZmX/PXnfr1o0VK1aQl5dHXl4eK1euJCQkBICgoCCWL18OQFJSUrm7LqSlpeHs7AzAZ599Rk5Ojrmsfv36XL16tVL31qdPH9577z1zYnzt2rUia6NvVlpaGg0aNKBRo0bk5OSwbNmycutbErsQdypJhIUQQgBg6/4EYOmMqIJtm763IpxSde7cmdmzZ9OnTx8MBgN6vZ4NG0p/WG/27Nn069ePbt264erqSseOHfn888+ZMWMGAM8++yyenp7mh9w8PT0ZO3YsAB988AE7d+7EYDAwbdo0unXrVmZMCxYsoG/fvnTs2JHk5GQaNWpkLps8eTKjRo0q8rBcWaZPn47BYKBdu3Z4enrSsWPHchPhyq4Rvq5Hjx48/PDDuLq60qNHD7y9vcutP2zYMNasWSMPy4m7mqJplj4hfHdSFMUJSEpKSsLJyalmgxFCiFsgMTERNze3cutk/jiD3ONbK92n7aOh1A2ZeXOBCSFENSn+fS45Ofn6X2ycNU1LLl5fZoSFEEKY2QVOw/oB90rVtX7AHbsuU29xREIIcetIIiyEEMJMsbGj3hOLsH00lLKXSSjYPhoqxysLIbCyYBYAACAASURBVO54smuEEEKIIhQbO+qGzKS277PkJmzAdM6IlpuJYlsXXTMVW/cnLD5JTggh/okkERZCCFEq6/rNqeP/XE2HIYQQt4wkwkIIIUqVm5HKleMbyLpgpCAvEyubutg9oHJf6yewtZcZYSHEnU8SYSGEEEXk52WRuv9triZtA4ruLJR1IZZL8ato4PwYzf2mYS1rhIUQdzB5WE4IIYRZfl4WyT9O5GrSVoonwX/TuJq0leQfJ5Kfl1Wlcfz8/FBVFXd3d3Q6Haqqoqoqo0aNIjIykrZt21b5Hq4LDAykVatWqKrKI488Qrdu3fj++++r3J+iKGRkZFhU7+LFi3h7e/Pqq69W2K5nz57m45bLExgYyKZNm0otW7FiBceOHauwDyFEIZkRFkIIYZa6/23+vFz+wQ/X/Xk5gdT979Cy40yLx9m/fz9QuMdn27ZtMRqN5rLIyEiL+yvLwoULefzxx839Dho0iI8++ognn3yy0n2YTCZ0Ost/XKakpNCtWzfGjBnDSy+9VGH9zZs3WzxGcStWrKBx48Y8+uijN92XEPcCmREWQggBFK4JLlwOUXlXk7aSm1H5080qy2QyMW7cODw9PTEYDEVOWFu5ciV+fn74+PgQFBTE0aNHK9VnYGAgM2fOZO7cuQDExcXRqVMnvL29cXd3Z8GCBea6I0eOZNKkSYSGhuLn51ekn4KCAl544QUGDx5c5DjlG504cYIuXbrw0ksvFUmCnZyceP3112nfvj1OTk4sWrSoSFl8fDwACQkJ+Pn5odfrefrpp/H39y8yC7xr1y46duxIq1atmD59OgDLly/n119/ZfLkyaiqyvbt2yv1vghxL5NEWAghBABXjm+g7OUQZdH443jpRxzfjCNHjjB+/HgOHz7MwIEDmTVrFgBRUVGsXbuW3bt3ExMTw5QpUxg9enSl+/Xz8+PIkSNAYeK5fft2Dh48SHR0NEuWLCmScO/du5f169cTExNjvpadnc3AgQOxtrZmzZo11KpVq9RxQkJCeOWVVxgzZkyJsqysLPbu3UtkZCTTp08vdbnFsGHDmDRpEvHx8fzf//0fBw4cKFJ++vRpdu/ezaFDh1i6dCnHjx9n1KhRtG3bloULF2I0GgkJCan0+yLEvUoSYSGEEABkXTBWXKkUmVVsVx4XFxe8vLwA8Pf3N6+djYiIIDY21rzGePr06Zw5c6bS/Wra34l+VlYWzzzzDB4eHnTo0IHU1FRiY2PN5f3796du3bpF2oeGhuLv78/8+fNRlLIOHIFevXrx2Wefce3atRJlgwYNAgoT8YYNG5KSklKkPD09nfj4eIYMGQJA27Zt8fT0LFJnwIABWFlZ0aBBA9zc3Cq1tlgIUZIkwkIIIQAoyMu8re3KU7t2bfPn1tbWmEwmoDCRHT16NEajEaPRSGxsLKdPn650vwcOHECv1wPw8ssv07RpUw4dOkRsbCy+vr5kZ2eb69rb25do37VrV7Zs2UJmZvn3vGjRIjw8PAgNDS2RDJd1b9dpmoaiKOUm2hX1IYSoHEmE70La1SuYojaT++UiclfOJ/fLRZiiNqNdvVLToQkh/sGsbOpWXKka21VF7969WbVqlXkWNT8/v8jShfJERUUxc+ZMpk2bBkBaWhotW7ZEp9MRHx9PVFRUhX3MmDGDbt26ERoaSnp6epn1FEXhk08+Qa/Xl5oMl6dBgwa4u7vz5ZdfAnDw4EHi4uIq1bZ+/fpcvXq10mMJca+TXSPuIlpuDqYf11GQeIji6/zyzyaRv/8nrNy80HXrj2Jb+ro2IcS9y+4BlawLsRVXLKbuA+otiKZ0nTt3Zvbs2fTp04f8/Hxyc3MZMGAAPj4+pdafPHkyr776KpmZmTz00EN8+umn5l0kXn31VYYNG8YXX3zBww8/TOfOnSsVw7Rp06hTpw4hISFs2bKF++67r9R6iqKwePFixo0bR2hoKFu2bKn0fa5atYrRo0fz7rvv4uPjg8FgoEGDBhW2e/bZZwkLC2P+/PnMmzdP1gkLUQHlxvVS9zJFUZyApKSkJJycnGo2mCrQcnPIW7sY7XzFfyJUmj6IzcDxkgwLcY9JTEzEzc2tzPLcjFSOffcklj0wp/Bov2+xtW920/GJv2VmZmJnZ4eiKCQkJBAYGMjRo0dp2LBhTYcmxD9a8e9zycnJODs7AzhrmpZcvL4sjbhLmH5cV6kkGEA7fxrT9vW3OCIhxJ3G1r45DZwfs6hNA+fukgTfAr/88guqquLp6cmgQYP49NNPJQkW4ha4Y5ZGKIrSC/h/gA1wBRipaVpSsTqvAYMA018fL2uatvV2x3q7aVev/LUcovIKEg6idQhFaVD6n/SEEPem5n7TyE0/U6lDNeo0cqe539TbENW957HHHuOxxyz7pUQIYbk7YkZYUZSGwEpgkKZpHsCnwCelVI0G2mmaZgBGA18rilLn9kVaM/IP76Mqe38WthNCiL9Z29jh1G0RDZxDgbJ2LVBo4ByKU7dFWNvY3c7whBCiWt0pM8KPAL9rmnb9APXNwOeKojTWNO3S9UrFZn8PU/hdvBFQZJNGRVEcAIdiYzhWe9S3SUHK/25rOyHE3c3axo6WHWfSRH2WP45vIPOCkYK8TKxs6lL3AZWGrZ/A1r55TYcphBA37U5JhI8BTRVFaadp2gFg6F/XHwQuldFmOHBS07SUUsr+D5hR/WHWkNzsiutUZzshxD0hX4FrOo00W418RcPaRqNAp1G/7O1thRDijnJHJMKapl1VFOUp4H1FUWoDPwBpQF5p9RVF6ULheuJuZXS5AFhR7JojUPEmkv9EtrUrrlOd7YQQdzWTKYujMW9z/vRWii+7unopllO/raLpg91x8ZmGTidLI4QQd647IhEG0DRtO7AdQFGUJsAUoMTf9hVFaQ98ATyhadrRMvpKozCRvrFddYd821g5tiL/bFLFFUtpJ4QQNzKZsji0ayLpV46UU0vj/OktZGWcwavLIkmGhRB3rDviYTkARVGa/vVfK2AOsFjTtMxiddoBXwP9NU07ePujrBnWnv6U/VBLWZS/2gkhxN+OxrxdQRL8t/QrRzga83aVxwoLC8PZ2RlFUYiPjzdfv3z5Mj179sTFxQVPT0/+9a9/cfHixXL7mjp1Kra2thXWu9UiIyNRFIUpU6YUuR4YGIiiKGRkZNRQZEKI0twxiTAwS1GUROA4kAtMB1AUZbOiKG3/qvMxUAf4r6Ioxr8+PGom3NtHaXAfVm5eFrWxcveWrdOEEEX8mZn613KIyjt/eit/ZqZWaby+ffuye/duHnrooSLXFUVh6tSpHD16lMOHD/Pwww8zffr0MvsxmUx88cUXdOzYkc8//7xKsZTHZDJZVN/FxYXw8HDy8/MBSEpKIisrq9rjEkLcvDsmEdY0bYymaW6apj2sadpzmqZl/3W9p6Zpv/71eTtN0+7XNE294aNyB7Tf4XTd+qM0fbBSdZWmD6ILefIWRySEuNOc/V84VdmKMfV/G6o0XseOHWnZsmWJ6/fddx+BgYHm1/7+/pw6darMfjZv3szDDz/Mm2++ybJly4qUKYrCnDlzaNeuHa1atWL9+r8PE1q/fj2urq54eXkxZ86cIjO2iqIwb948AgMDeeONN9Dr9Rw4cMDc9r333uPZZ58tNR57e3vat2/P1q2Fv1SsWLGC4cOHF6lz9OhRevToQbt27TAYDCxfvrxSMQshqtcdkwiL8im2tbAZOB4rdx/K2/vTyt1HjlcWQpQq7ZKxSu3+uGTZgT6WKCgo4JNPPqFPnz5l1lm2bBmjRo2iY8eO5ObmEh0dXaS8fv36HDhwgM8//5zJkycDcOHCBZ599lkiIiI4dOgQdeqU3HK+oKCAyMhI/t//+39MnDiRjz/+GABN0/jkk0+YMGFCmTGNHDmSlStXomkaX3/9NYMHDzaXmUwmhgwZwvvvv8+BAwf4+eefmTt3Lr/99lu5MQshqp8kwncRxbYWNj2HYDv2Zaz9glFaOKPc3wylhTPWfsHYjn0Zm55DJAkWQpQqPy+z4krV2K4yJk2ahL29PRMnTiy1/MKFC0RGRjJgwAAARowYUWJWeNCgQUDhzHJqairZ2dns27cPb29vWrduDcDo0aNL9D1ixAjz58OHD2fr1q1cuXKFrVu30qRJEwwGQ5lxd+3aldjYWMLDw9Hr9TRq1MhcduzYMRITExk0aBCqqtKpUydycnJITEwsN2YhRPW7Y3aNEJWnNLgPXaeeNR2GEOIOY21T97a2q0hYWBjHjx8nIiICK6vS521WrVqFyWTCw6PwcRCTyURmZibvv/++eZa3du3CrSKtra3NdTRNq3C3IHt7e/PndnZ2DBkyhOXLlxMZGVnubDAULm8YOHAgY8eOZcWKFUXKNE2jcePGGI1lz8CXFrMQovrJjLAQQggAHBqrVWrXsLFlD+tWxiuvvEJMTAzh4eHUqlX2X7GWL19OeHg4ycnJJCcnk5KSgq+vb4Xrav39/YmJieHEiRMAJZLV0kyYMIEFCxYQExPDk09W/JzFuHHjmDp1KqGhoUWuu7i4YGdnV+TBvt9++4309PQK+xRCVC9JhIUQQgDQolVfqrIVY/NWfas03uTJk3F0dCQlJYWQkBDatGkDwJEjR5gzZw6pqakEBASgqir9+vUr0X7//v388ccfBAUFFbk+dOjQEssjimvSpAmLFy+mV69edOjQgT///BMbGxvs7MreE9nZ2RlXV1dGjx6Nra1thffXokULpk6dik5X9I+vOp2OiIgIvvrqKzw9PWnTpg3//ve/yc3NrbBPIUT1UjTN0ieE706KojgBSUlJSTg5OdVsMEIIcQskJibi5uZWbp0j+2dw/vSWSvfZ9MFQ2vi9cbOh1Yhr165Rr149oHBm+bPPPuPnn38us356ejqurq5ER0fj6Oh4u8IUQlig+Pe55ORknJ2dAZw1TUsuXl9mhIUQQpi5+Eyj/n1tKlW3/n1tcPGZdosjunUWLlyIqqro9XqWL1/Op59+WmbdxYsX4+7uzksvvSRJsBB3EZkR/ovMCAsh7naVmRGGwmOWj8a8/dfhGqX9jFBo+mB3XHymyfHKQoh/FEtnhGXXCCGEEEXodHa08XuDVvpxpP5vA39cOkR+XibWNnVp2NiL5q2eoE7d5jUdphBC3DRJhIUQQpSqTt3mPOzxXE2HIYQQt4wkwkIIIUqVkZXKiVPhXLhsJM+UiY2uLg80Unnkob7Y28mMsBDizieJsBBCiCLyTFlEx75N8tmSa4QvXonlyPFVOLXojq9hGjayRlgIcQeTXSOEEEKY5Zmy2LFnIslnt1D6g3IAGslnt7Bjz0TyTFlVHsvJyQlXV1cMBgN6vZ6vvvqqwjaBgYFs2rTJ4rEURcHT0xNVVVFVlXnz5rF48WLef//9ctslJyezZMmSItd69uzJyZMnLY5BCPHPIzPCQgghzKJj3+Zy2pFK1b2cdoTow2/Twbvq+wivW7cOvV7PoUOHCAgIICQkhMaNG1e5v/Ls2bOnyLHJlXE9EX722WfN1zZv3lzdoQkhaojMCAshhAAK1wQXLoeovOSUrWRkpd702F5eXtSrV4+kpKQSs75lzQKPHDmSsWPHEhISgouLC2PHjrXodLaZM2cSFhZmfv3WW2/h4eGBwWAgICCAgoICJkyYQEJCAqqq0r9/f6BwJjs+Ph6AEydOEBwcjKenJ97e3mzZ8vdhJIqiMGfOHNq1a0erVq0qPPZZCHH7SSIshBACgBOnwil7OURZNE6c2nDTY+/cuZPs7Gxat25tUbv9+/cTHh7OkSNHOHXqVIllDDe6flyzqqrExcUVKVu5ciUbN27kl19+ITY2loiICKysrPjoo49wd3fHaDSybt26En0OHTqUIUOGcPjwYb744guefvppLl68aC6vX78+Bw4c4PPPP2fy5MkW3ZsQ4taTRFgIIQQAFy4bq9juUJXH7N+/P6qqMmPGDNavX4+Dg4NF7Z966ins7e3R6XSMGDGCn376qcy6e/bswWg0YjQa8fDwKFK2adMmnnvuOerXrw9Ao0aNKhz72rVrGI1GRo0aBYC7uzuqqrJv3z5znUGDBgHg7+9Pamoq2dnZFt2fEOLWkjXCQgghAMgzZd7WdvD3GuEb6XQ6CgoKzK8rmzxqmoaiKFWKoyqnrJbV5sYYateuDYC1tTUAJpOpCtEJIW4VmREWQggBgI2u7m1tV5aHH36YAwcOAJCQkIDRWPZM9TfffENmZiYmk4kvvviCrl27VmnM3r1788knn3Dt2jUALl++DBQubbh69WqpberXr4+qqqxcuRKA3377jdjYWPz8/KoUgxDi9pMZYSGEEAA80Ejl4pXYKrTzqtY4pk2bxoABA/jhhx/w9PTEy6vs/jt37kzfvn05ffo0nTt3LrK7gyWGDx/O2bNn8ff3R6fTUa9ePXbv3o2npycuLi7o9XpcXV1LrBNevXo148aN4/3330en0/H5559z//33VykGIcTtp1Tlz0F3I0VRnICkpKQknJycajYYIYS4BRITE3FzcyuzPCMrlQ3b/4VlD8wpPBHyHfZ2zW46PkuNHDmStm3bMnHixNs+thDin6n497nk5GScnZ0BnDVNSy5eX5ZGCCGEAMDerjlOLbpb1MbJsXuNJMFCCFEdZGmEEEIIM1/DNK5lnqnUoRqNHNrg6zntNkRVuhUrVtTY2EKIu4PMCAshhDCz0dkRHLAIJ8dQoKwdGBScHEMJDliEjc7udoYnhBDVSmaEhRBCFGGjs6OD9xsYXMdx4tQGLlw+RJ4pExtdXR5o5MUjDz2BvV3zmg5TCCFumiTCQgghSmVS4IpOI9UWcqyglg50Og1T1bbqFUKIfxxJhIUQQhSRa8ri+8S3iT+3leI7SJxJi+WXpFXom3Wnl9s0bGVphBDiDiaJsBBCCLNcUxaf/zqR1PTyHpbTiD+3hSuZZxjWdpEkw0KIO5Y8LCeEEMLs+8S3K0iC/5aafoTNiW9XeaxvvvkGLy8vVFXF1dWVIUOGVNjGycmJ+Pj4Ust69uzJyZMnLY4jMDCQTZs2lfjcEsnJyQQGBlrUpqx7qcx9zJw5k9zcXIvGE0KUJDPCQgghAEj7M/Wv5RCVF3duK4GPjMOhjmUPz507d45///vfHDx4kJYtW6JpGrGxlp9qd6PNmzffVPuqMplM1dpfZe7jjTfeICwsDFtb22odW4h7jcwICyGEAOBgSjiWnSoHoHEwZYPFY50/fx4bGxsaNWoEgKIoqKpqLt+7dy8dO3bEYDBgMBjYtm2buWzt2rW0b98eJycnFi1aZL5+4wxrYGAgU6ZMoWPHjrRq1Yrp06eb6yUkJODn54e3tzdPP/002dnZpcaYnp7OmDFj8PX1xdPTk+eff578/Hxz/y+//DLBwcE88cQTWFtbc9999wFw9OhR2rdvj8FgQK/XM3/+fIvemxvv44033sDV1RVVVfHy8iItLY0JEyYAEBAQgKqqpKWlWdS/EOJvMiMshBACgNN/GKvY7pDFbQwGA76+vjz44IMEBgbSsWNHhg0bRqNGjbhy5Qr9+vXj22+/JSAggPz8fNLT081ts7Ky2Lt3L8nJyej1ekaOHIm9vX3JuE6fZvfu3Vy7do2HH36YZ555htatWzNs2DAmT57MiBEj2LdvHx06dCg1xhdffJEuXbqwdOlSCgoKGDp0KMuWLWPs2LEAxMfHs3XrVnS6wh+l3377LQAff/wxPXv25LXXXgPgjz/+sPj9ud5u/vz5XLhwgTp16nDt2jXq1KnDRx99xMcff8yePXtKvW8hROXJjLAQQggAckyZt62dlZUV4eHhREZG0rVrV77//ns8PT25cuUKe/fuxd3dnYCAAACsra1p2LChue2gQYOAwpnThg0bkpKSUuoYAwYMwMrKigYNGuDm5sbJkydJT08nPj6eYcOGAeDv74+Hh0ep7Tdu3Mi8efNQVRVvb29iYmI4duyYuXzIkCHmJPhGnTt3ZtmyZbz22mv89NNPODg4WPz+ANSvXx8XFxeefvppPv30UzIyMkodTwhRdfJ/lBBCCABq6ere1nYAer0evV7PhAkTcHd3JzIyssJ1r7Vr1zZ/bm1tXeYa3bLqKUrlNkLWNI3w8HBatWpVanlZs7FPPvkk7du3Z9u2bcydO5dly5bxxRdfVGrMG1lbW7Nv3z5++eUXfvrpJ3x8fNiyZQuenp4W9yWEKJ3MCAshhADgwYZqxZVKbedlcZuzZ8+yd+9e8+uUlBQuXryIs7MzAQEBJCQkmMvz8/OrvLyguPr166PX61mzZg0A0dHRxMXFlVq3T58+zJ0717wu+NKlSyQlJVU4xokTJ2jatCkjR45kxowZREdHVynWa9eucfHiRbp06cIbb7yBXq83rx2uV68eV69erVK/Qoi/yYywEEIIALwd+/JL0iose2BOwduxr8VjmUwmZsyYwalTp6hTpw4FBQXMmjULL6/CpPrbb7/lxRdfJDMzEysrK+bPn09ISIjF45Rm1apVjBo1ivfeew8fHx/8/f1LrbdgwQKmTp2KwWBAURRq1arFggULcHZ2Lrf/tWvXsnr1amxtbVEUhQ8++KDMuiEhIUWWO9yYlF+9epUnn3ySP//8k4KCAry9vfnXv/4FwEsvvURQUBB16tQhMjKyyssvhLjXKZpm6RPCdydFUZyApKSkJJycnGo2GCGEuAUSExNxc3Mrt853cTOIP7el0n16NAulr8cbNxuaEEJUi+Lf55KTk6//8uqsaVpy8fqyNEIIIYRZL7dpNK/fplJ1m9dvQ0+3abc4IiGEuHUkERZCCGFmq7NjWNtFeDQLBcp6qEzBo1moHK8shLjjyRphIYQQRdjq7Ojr8QaBj4zjYMoGTv9xiBxTJrV0dXmwoRfejk9YfJKcEEL8E0kiLIQQolQOdZoT1Pq5mg5DCCFuGUmEhRBClCo1+zzh57/HeDWezPws6lrboTbQ07dpL5rXblrT4QkhxE2TRFgIIUQRWfl/8vbxD9h68Se0YlupxabHs+rM13S/P4hprZ/HzrpODUUphBA3Tx6WE0IIYZaV/ycT46ay5eKOEknwdRoaWy7uYGLcVLLy/6zSOH5+fqiqiru7OzqdDlVVUVWVUaNGERkZSdu2bW/mNgAIDAxk06ZNN93PjZycnMyHWlTW5cuXCQgIQFVV5s2bV6QsLS2Nd955p8i16og7MjISOzs7VFVFr9fTpUsXfvvtN3P5mDFjiIqKuqkxLDVhwgTz19nW1hZXV1fz6/z8fBRFISMj46bGmDlzJg888ACqquLq6sqQIUPIzKz4CPDw8PAqH3xSXY4fP46XlxdeXl6sXr26SFlycjJLliwpcq0q/xaLW7FiBf379ze/3rRpE46OjkRHR/Prr78ydOjQm+r/TiCJsBBCCLO3j3/AkWu/VVwROHLtN94+UfZhEeXZv38/RqORzZs34+DggNFoxGg0snz58ir1dytcP1HuZm3fvp2GDRtiNBqZMmVKkbLSEuHq4u7ujtFoJD4+Hn9/f1544QVz2dKlS+nUqdMtGbcsH330kfnr3Lx5c9atW2d+bW1tXW3jDB8+HKPRyOHDhzlz5gyLFi2qsM3NJMLV9e/k22+/JSAggEOHDpVIQEtLhKvbl19+yYQJE9i6dSu+vr60bdu2REJ+N5JEWAghBFC4JnjrxZ8sarP1wk+kZp+v9lhMJhPjxo3D09MTg8FAYmKiuWzlypX4+fnh4+NDUFAQR48etajvLVu24OXlhaenJ8HBwZw4cQIonEVVVZVJkybh7+/PDz/8QFRUFB4eHvj6+jJ58mTKOoQqPz+fsLAw9Ho9er2esLAw8vPz2blzJ1OmTOGXX35BVdUSs7ATJkwgLS0NVVUJCAgwX9+1axcdO3akVatWTJ8+3Xz93Llz9O/fH19fXzw8PJgzZ06l7jkwMJDTp08XeX191nnkyJGMHz+eoKAgWrduzfDhw833efbsWYKDg2nTpg19+vShd+/e5sRyyZIluLm5oaoqnp6eRWacq2rhwoW0a9eOVq1asX79evP1/fv307VrV3x8fPDx8eH777+vsC9bW1sCAgLM952bm8uUKVPw9fVFVVWGDRtGRkYGW7duZePGjcydOxdVVVm1alWJmdIbX69YsYLQ0FCGDRuGj48PcXFxKIrCnDlzSo39RhkZGYwaNcr87+Ttt98GYPXq1bz//vt88803qKrKyZMni7SbMGECCQkJqKpaJK61a9fSvn17nJyciiT8R48epUePHrRr1w6DwVDhL5j//e9/ee2119i5cydt2hTuI37jX2aSk5Np3Lgxr7zyCl5eXri4uPDzzz+b2y9atIjWrVvTrl07ZsyYQePGjcv/4vyTaJomH4X/wzsBWlJSkiaEEHejhISEcss/Slqq+e4Osfjj46TPqhxTUlKS1qhRoyLXdu7cqel0Ou3gwYOapmnarFmztCFDhmiapmm7d+/WevbsqWVnZ2uapmmbN2/WAgICSu27S5cuWkRERJFrv//+u9a4cWPtyJEjmqZp2tKlSzVfX1/zuFZWVtqePXs0TdO07OxsrXnz5trOnTs1TdO0r7/+WgO0uLi4EmN9/PHHWnBwsJaTk6Pl5ORoQUFB2scff6xpmqYtX75ce/LJJyt9/126dNEGDhyo5efn/3/27juu6up/4PjrA0iACpoT1EQcDLkDB8vBdmSa5ciRCmVqWpY5s6Flw2+ao2HW137izL7ZUnNioBWmOC4OUNEglaFZgsge5/cH8om9BNE6z8eDh9zP54z3Z3A999zzOUckJyeLZs2aifPnzwshhPD39xcHDhwQQgiRlZUlevfuLfbu3Vuq3NDQUNG9e3chhBB5eXli8uTJ4s033yzz3EyYMEH06tVLZGRkiKysLOHk5KSW+fjjj4tFixYJIYSIi4sTjRs3Fh9++KEQQghLS0tx6dIl9VylpaUJIYR47bXXxCeffFLm8RZqUYVBzwAAIABJREFU3759qfMIqGX//PPPwsbGRgghxI0bN4RerxcJCQlCCCESEhJEmzZtxI0bN0qVu2DBAjFz5kwhhBA3b94Ubm5uYv/+/UIIIRYtWqQeixBCzJkzR8yfP189B4V1C1H6mhV9vXbtWtGwYUNx4cKFSmMvac6cOWL8+PEiPz9fpKSkCCcnJ7Fz585SsZdU9HoWat++vZo+NjZWNGzYUKSmpoqcnBzRrVs3ER0drZ6HLl26qK+LWrt2rXjwwQdF69atRXx8fLl1xsbGCkC9ZzZu3Kj+3UVGRgobGxtx7do1IYQQL7zwQql7+m4q+T5XGDtgK8po/8keYUmSJAkAQ0rNxhueSDlVy5GAvb09Li4uALi7u6s9ZNu3bycyMlIdYzxv3jwuX75c5XIPHz6MTqfDyckJgKCgIAwGA6mpqQB07twZDw8PoKBXzcLCAm9vbwBGjhyJlZVVmeWGhIQQGBiIqakppqamBAUFERISUqNjBxgxYgRGRkZYWVnh6OjIxYsXSUtLIywsjOnTp6PX63F1dSUhIaFYb3lRhT2IrVq1IiwsjGnTppVb39ChQzEzM8PU1JRu3bqp5zs0NJSgoCAA2rdvj5+fn5rH19eXoKAgPvzwQ+Lj47GwKFhc5c0332TKlCk1Ou5Ro0YBBdc8ISGBzMxMwsPDiY2NZeDAgej1egYOHIiiKGpPfknr169Hp9PRqlUr2rdvj4+PDwDbtm1j48aN6rjkbdu2lep5rarevXvTsWPHSmMvKSQkhGeeeQZFUbC0tGT06NF3dJ8U1mlra0vTpk25cuUK58+fJzo6mlGjRqHX6+nTpw9ZWVnl3icODg40bNiQL774osK6GjVqxCOPPKIeY+G5CwsL4+GHH6ZFixYA6v1yv5CzRkiSJEkApOWl39V8FTEzM1N/NzY2Jjc3Fyj4FvOpp57izTffrFG5QggUpbwV8wr+sy+a9k7KraieypR1/Pn5+SiKQkREBA0aNKi0DCcnJ44ePUp2djajRo3i2Wef5csvv6xyfZUdxzfffENERAQ//vgjPj4+rF69moEDB1b1ECuMo3DMcG5uLkIItFotBw8erFIZ48ePZ+nSpSQlJdG7d29Wr17Ns88+ixCCVatW4evrW2kZJiYm5Ofnq69LNmqL3icVxV7S3bhPFEWhefPmGAyGKpVhbW3Nl19+qX7gmzlzZpnpHnjggVJ1QeV/U/c62SMsSZIkAdDQuGbLJdc0X00MHjyY9evXc+XKFaBgbO6xY8eqnN/DwwODwaCOZ123bh0uLi40bty4VFoHBwcyMjLUBtjWrVtJSUkps9yAgACCg4PJyckhJyeHdevW4e/vX2k8lpaWpKenl9loKqlx48b06dOHxYsXq9suX75MUlLFY7RNTU355JNP2LVrV5UbR4W8vb0JDg5W6/rxx4Ix5Lm5ufz222+4uroyb948+vXrx4kTJ6pVdlV5enoSExNDaGioui0iIqLSDyqtW7dm5cqVLFq0iMzMTIYMGcKyZcvIyCiY6SQ1NVXtJbW0tCx2bTt27MjJkyfJysoiOzubrVu31sqxBAQEsGbNGoQQpKamsmXLlirfJ+XdeyXZ29tjYWHBhg0b1G1nz57l5s2b5eZp27YtoaGhrFq1ivfff79K9RTy9vZm586dXL9+HSj4m7qfyIawJEmSBIDeyrlG+VysNLUcSfn69u3L22+/zZAhQ9DpdDg7O/P999+Xmz4wMJC2bduqP4mJiWzYsIExY8ag1WrZuHEjGzduLDPvAw88oD5J7+rqytGjR3nooYfKTDtp0iS0Wq06/ZVWq+WZZ56p9HgefPBBxo4di0ajKfawXHk2bdpEVFQUGo0GjUbDE088QXJycqX5WrVqxaxZs3jjjTcqTVvUypUr2bdvHzqdjlmzZtGrVy+srKzIy8sjMDAQjUaDTqcjMTGRyZMnA/D666+zevXqatVTkaZNm7Jt2zbeeOMNdDodjo6OLFy4sEo99oMGDcLBwYFPP/2UefPmodPp6NmzJ1qtlt69e6sN4XHjxrF582b1YTkPDw/8/f1xdnbmkUcewdHRsVaO5bXXXkMIgUajwcPDg3HjxjFgwIBK82m1Wuzt7XF2di72sFxZTExM2L59O1u2bEGr1dK1a1emTp1KdnZ2hfnatWtHWFhYtRvDOp2OOXPm4OHhQZ8+fbCysip3CNG9SKnOVz//ZIqi2AKxsbGx2Nra1m8wkiRJdSA6OrrC/9ATMpN4PGJ8ufMHl0VB4dueG7A2a1UbIUr3mIyMDBo0aICJiQmJiYn07NmT/fv3Y29vX9+hSfeQ1NRU9VuVhQsXcuHChXI/YNa1ku9zcXFxdOjQAaCDECKuZHo5RliSJEkCwMasNf1b+LL7j/1VztO/pa9sBP+DxcTEqNOp5eTksGDBAtkIlkqZN28ev/zyC9nZ2djZ2dX5nMe1STaEJUmSJNXczi9wOTO+SotqdG3swNxOL9yFqKT6otVqqz2uWPr3+fjjj+s7hBqTY4QlSZIklYWxOR9p3mNASz8Uyn4SXEFhQEs/PtK8h4Wx+V2OUJIkqfbIHmFJkiSpGAtjc96wn8fk9oF8n7STEymnSMtLp6GxBS5WGh5t/TA2Zq3rO0xJkqQ7JhvCkiRJUpkUYQb5dhjlm2CUl42RYgr5DxVslyRJ+geQDWFJkiSpmPTcbN47v4u9186Umj8iMuUKGy6F069lV+Z0GYiFiWm9xChJklQbZENYkiRJUqXnZvN85GaiUhPKTSOAPdfOcDnjBh/qxsjGsCRJ96375mE5RVEGKYpyXFGUU4qiHFAUpUMZafopinJUUZQsRVGW1keckiRJ97P3zu+qsBFcVFRqAktidteoHjc3N/R6PU5OTpiYmKDX69Hr9QQFBREWFkaPHj1qVG5RQgg+/PBDnJ2dcXBwwMXFhQEDBhAeHn7HZRdla2vL6dOnK023YsUKrl27pr5euHAhs2bNuuP6FUVBq9Wi1+txcHDglVdeqVE5VT2OmgoMDOSjjz4qtT05OZn33nuv2DZvb2927NhxR/UFBweXWnxix44d6lLCFamte1C6990XPcKKojQF1gGeQojziqI8CXwClFyO5TfgGWAYIAexSZIkVUNiRjJ7r52pVp49V08zybYv1uZNqpXv8OHDQMFk9z169Cg2RVdYWFi1yirPa6+9xoEDB9izZw9t2rQBYP/+/Zw6dapKq7jVthUrVuDv70/Lli1rvezw8HAaNWpEeno6Tk5ODBkyBDc3t1qvpy4UNoTnzJlT36FI/0L3S49wJ+CqEOL87dc7gf6KojQvmkgIcUEIcQKofNF2SZIkqZjvEg3VWFOugAC+T6z9eWZzc3OZPHkyWq0WnU6nLoULsG7dOtzc3OjevTu+vr6cO3euVP5bt26xdOlS1qxZozaCAfz8/NSlgPPy8pg1axbOzs44Ozsza9Ys8vLyALh69SqPPfYYWq0WjUbD+vXr1TJ++uknNBoNrq6uTJ8+vUpL/b799tskJCQwfPhw9Ho9UVFRAMTHx/Pwww/j4ODAoEGDSE9PByA7O5vZs2fj6uqKXq9n3Lhx3Lp1q9J60tPTyc3NpUmTgg8mmzdvxs3NTV36ef/+vxdLqepxnDp1ij59+tCtWzecnJxYsWKFui8wMJApU6bg6+tL586d1cU3Co/Nz88PnU7H0KFDuX79epnlT5s2jeTkZPR6fbEPKAcOHKB3797Y2dkxb948dXtiYiLDhw/H1dUVjUbDO++8U+l5Kc8rr7xCp06dcHNzY+7cuWX2Ak+dOpWlS//+kvnEiRPY29tX6bpL9777pSF8HmitKErP26/H3v637EXfK6EoShNFUWyL/gBt7zxMSZKk+1dkyqUa5TPUMF9Fzpw5w5QpUzh58iQjR47krbfeAgoab//73/84ePAgx44dY/bs2Tz11FOl8kdFRWFmZlbhKmifffYZBoOB48ePc/z4cU6cOKGuiDV9+nScnZ05efIke/fuZe7cuZw+fZqsrCxGjRrFhx9+yJEjR+jduzeXLlV+/K+88go2NjZs3boVg8GAk5MTAEePHmXz5s1ER0eTk5PDpk2bAHjvvfewsrLiyJEjGAwGbGxsePfdd8st39PTE61WS7t27Rg5cqR63P379+fXX3/lxIkTbNmyhQkTJgBU6zhsbW0JCQnh+PHjHDlyhM8++6zYB5PTp0+zc+dOzpw5w7FjxwgJCVHPYd++fYmMjGTZsmUcOHCgzPI//vhjmjRpgsFgKDZs5dKlSxw8eJATJ06wZs0aYmJiABg/fjzTp0/nyJEjHDt2jF27drFv375Kr0FJ27dvZ8eOHURGRnLo0CG1/JKef/55Vq9erTZ8P/roI6ZOnYqilD3PtnR/uS8awkKIFOAJYLmiKEeBlkAykFPDIl8EYkv8/FQLoUqSJN230nKz72q+itjb2+Pi4gKAu7s7Fy9eBAoaL5GRkeoY43nz5nH58uVKyyvscXR0dOTxxx8HICQkhMDAQExNTTE1NSUoKEhtxIWEhKg9x9bW1gwaNIjQ0FDOnTuHhYWFOs505MiRWFlZ1fg4+/fvT5MmTVAUBTc3N/U4t23bxsaNG9Wx09u2bVP3lSU8PJyTJ0+SmJhIWFgY3333HQAXL16kf//+dO3alSeeeIKkpCSSkpKqdRzp6ek8/fTTaDQaevXqRUJCApGRker+oUOHYmZmhqmpKd26dVPjDA0NZeLEiQDY2dnh5+dXrXMzYsQIjIyMsLKywtHRkYsXL5KWlkZYWBjTp09Hr9fj6upKQkJCsYZ5ofIaqoXbQ0NDGTlyJA0bNsTIyEj9kFCSo6MjdnZ27N69mxs3brBt2zYCAwOrdSzSveu+GCMMIIQIAUIAFEVpBcymYExwTawAgktsa4tsDEuS9C/WsIazP9Q0X0XMzP5+zMPY2Jjc3IIRb0IInnrqKd58880K8zs5OZGZmUlMTAydO3dWexx37Nihfs0thCjVWCr6uqx9tf11eMnjzMjIUGNbtWoVvr6+1SqvSZMmBAQEsG/fPoYOHcro0aN5//33GTp0KPn5+VhYWJCZmVmt45g/fz6tW7cmODgYExMT+vXrR2ZmZrnHUHit7lRZ5ebn56MoChERETRo0KDC/C1atODPP/8stu369evqGO2yrn95pk+fzqpVq4iKiuLxxx+/ow8/0r3lvugRBlAUpfXtf42Ad4DVQoi0mpQlhEgWQsQV/QGu1F60kiRJ9x+dVY1Gm6GvYb6aGDx4MOvXr+fKlYK37Ly8PI4dO1YqXaNGjXjppZeYOHEiCQl/z4KRlvb3fxsBAQEEBweTk5NDTk4O69atw9/fHwB/f391mERSUhI7d+7Ex8cHBwcHMjIyOHjwIABbt24lJSVFLfPll18uc2YEAEtLy2JpKzJkyBCWLVumNoxTU1PL7PUsKTs7m/DwcLp06QIU9IR36FAwydLnn39OVlYWQKXHUVRycjLt2rXDxMSE06dP89NPVesz8vX1Ze3atQDExsYWG59clKWlpTq2uTKNGzemT58+LF68WN12+fJlkpKSSqV1dXXlzJkznDp1CoCMjAyCg4Pp168fAD4+Pnz11Vekp6eTn5/Phg0byq334Ycf5ty5cyxbtoypU6dWGqd0/7hveoSBtxRF6QWYAnuBeQCKouwEXhdCHFUUpTewBbAs2KWMAp4WQuypr6AlSZLuF0Ot9Wy4FF6tB+YU4FEbl7oKqZS+ffvy9ttvM2TIEPLy8sjOzmbEiBF07969VNq3336blStXEhAQQF5eHs2bN6dJkyYsWLAAgEmTJnHhwgV1CEb//v155plnAPjggw/Uh/WEECxevJiuXbsC8MUXXzB16lTMzc3x9fXloYf+/iBw8uTJMmOBgl7FoKAgLCws2Lx5c4XHOW/ePBYuXEjPnj0xMjJCURQWLFiAo6Njmek9PT0xMjIiMzMTLy8vnn32WaBgpoqhQ4fSpk0bvLy8aNasGQAPPPBAhcdR1Kuvvsq4cePYuHEjHTt2pG/fvhXGXmjlypWMHz+er776Cnt7ewICAspM9+CDDzJ27Fg0Gg1NmzatdHq7TZs2MWPGDDQaDVDQOP6///s/Wrcuvux38+bN2bJlC5MmTSIjI4O8vDwef/xxgoKCgIIPG+Hh4eh0Otq0aYO7uzs3btwos87CoRO7du1Cp9NV6fil+4Min3oscPuBudjY2FhsbW3rNxhJkqQ6EB0dXW5DqtDCqO/ZU40p1Aa0cmaB45A7De0fIT8/Hw8PDw4dOoSR0X3zheu/WmpqKo0bNyY/P5+JEydiY2OjPphZUkBAAJMmTWLEiBF3OUqpOkq+z8XFxRV+K9Lh9giAYuRfqiRJkqSa02UgTo1tqpTWqbENszuXnM7938vIyIjDhw/LRvB9ZPz48bi4uODk5ERWVlaZcxkfPXqUjh07YmVlxbBhw+ohSqku3U9DIyRJkqQ6ZmFiyoe6MSyJ2c2eq6fLHCahAP1bOTO78wC5vLJ0X/v2228rTdOjR48KZ+yQ7m+yISxJkiQVY2FiygLHIUyy7cv3iQYMKZdIy82moYkpequHeNRaX+2V5CRJku5FsiEsSZIklcnavAlT7LzrOwxJkqQ6IxvCkiRJUpkSM1L5PuE8kclXSc/LwcK4AbomrXjUpgvW5o3rOzxJkqQ7JhvCkiRJUjHpuTksOXeIfVd/KzVG+GTKNTb+foqAVnbMtvfAwqTiRQ0kSZLuZfLRVkmSJEmVnpvDC4Y97C2jEVxIAHuv/sYLhj2k59Z0pXuwtbXFwcFBXUZ4xowZbNu2jdmzZ1eaNywsjB49epS5Ly4uTl0Mozznz5/nsccew87ODmdnZ9zd3dVlib29vdmxY0elMVQ1nSRJ9y7ZIyxJkiSplpw7RNTN61VKG3XzOkvPHeL1rlVbYKEsW7duxdnZudi2IUPubF7iwobwpEmTytyfmJhI3759WbJkiTprQGJiIvv27bujeiVJuv/IHmFJkiQJKBgTvO/qb9XKs/fqbyRmpNZaDMHBwQwfPlx9/corr9CpUyfc3NyYO3dusV7g3NxcdfU3nU6nLkE8bdo0oqKi0Ov1xcoq9PHHH+Pj48O4cePUbdbW1owfP75U2pK9viVfh4SE4O3tTadOnZg/f/6dHbwkSXedbAhLkiRJAHyfcL5ayytDwTCJbQkxNa5z+PDh6tCIPXv2FNu3fft2duzYQWRkJIcOHSImpng9Z86cYcqUKZw8eZKRI0eqK4J9/PHHODk5YTAY2Lp1a6k6jx8/jpubW41jLioqKoqQkBAMBoMaryRJ9w/ZEJYkSZIAiEy+WqN8huSkGte5detWDAYDBoOB/v37F9sXGhrKyJEjadiwIUZGRkyYMKHYfnt7e1xcXABwd3ev8qIHQlS3uV++CRMmYGJiQqNGjRg1ahQ//vhjrZUtSVLdkw1hSZIkCYD0vJo9+FbTfJURQqAoSrn7zczM1N+NjY3Jzc2tUrndu3fnyJEjVUprYmJCfn6++jozM7PctJXFK0nSvUc2hCVJkiQALIxrNhVaTfNVxsfHh6+++or09HTy8/PZsGFDlfJZWlqSkpJS7v6pU6eyf/9+Nm/erG5LSEjgv//9b6m0HTt2JCIiAigYBmEwGIrt37BhA7m5uaSlpfHVV1/h4+NTpRglSbo3yIawJEmSBICuSasa5dM3aV3LkRQYMmQI/fv3R6fT4evrS6dOnbCysqo0n1arxd7eHmdn5zIflrOxseHAgQN8+eWX2NnZodFoGDZsGC1btiyVdu7cuezcuZMePXqwdOlSdShGoW7duuHv749er2fQoEE88sgjNT9gSZLuOqU2x0rdzxRFsQViY2NjsbW1rd9gJEmS6kB0dDSOjo7l7k/MSGXEoa+r9cCcAmz1GE5r80Z3HF9ZUlNTady4Mfn5+UycOBEbGxv1oThJkqSSSr7PxcXF0aFDB4AOQoi4kullj7AkSZIEgLV5YwJa2VUrT79WdnXWCAYYP348Li4uODk5kZWVxZw5c+qsLkmS/n3kghqSJEmSara9B1cyblZpUQ0ny+bMsveo03gKF7yQJEmqC7JHWJIkSVJZmDRgpb4//VvZUd78BwrQv5UdK/X9sTCpmwflJEmS7gbZIyxJkiQVY2HSgNe79uUZOxe2JcRgSE4iPS8HC+MG6Ju0ZohNZ6zNG9d3mJIkSXdMNoQlSZKkchiDMEcRVpCfi2JkAsK8YLskSdI/gGwIS5IkScWk5+ay9OxJ9iXFl5pB4mTyX2yMu0BA6zbMctBiYSL/G5Ek6f4l38EkSZIkVXpuLi8cP0T0zeRy0whgb1I8l9PTWNnNQzaGJUm6b8mH5SRJkiTV0rMnK2wEFxV9M5n3z56scV22tracPn26xvlrKjg4mPPnz6uvt23bxuzZs+96HJIk1T/ZEJYkSZIASMxIZ19SfLXy7E2KJzEjvY4iqhslG8JDhgxhyZIl9RiRJEn1RTaEJUmSJAC2xf9erVXloGCYxLb43++4bm9vb2bPnk3v3r2xs7Nj3rx56r74+HiGDRuGVqtFq9Xy7rvvAnDz5k0mTpyIq6srWq2WF154gby8PLW8F198EW9vbzp16sT8+fMBWLt2LUePHmX69Ono9XpCQkIIDg4uthTzf/7zH5ydnXF2diYoKIhbt24BsHDhQkaPHs3DDz+Mg4MDgwYNIj39/voQIElScbIhLEmSJAEQmfzXXc1X0qVLlzh48CAnTpxgzZo1xMTEAPDkk0/i7u7OyZMnOXnyJM888wwAL730El5eXhw5cgSDwcC1a9f4v//7P7W8qKgoQkJCMBgMbN++nR07dhAUFESPHj344IMPMBgM+Pv7F4th165dbNiwgfDwcE6dOkVeXh6LFi1S9x89epTNmzcTHR1NTk4OmzZtqpVjlySpfsgnHCRJkiQA0nJz72q+kkaMGIGRkRFWVlY4Ojpy8eJFrK2tCQ8PZ9++fWq65s2bAwVje48cOcL7778PQHp6Om3btlXTTZgwARMTExo1asSoUaP48ccfeeSRRyqMISQkhFGjRmFpaQnApEmTeOGFF9T9/fv3p0mTJgC4ublx8eLFWjl2SZLqh2wIS5IkSQA0rOHsDzXNV5KZmZn6u7GxMbmVNLCFEHz33XfY2dlVWrYQAkUpb628itMVfV0yxoyMjErLlCTp3iWHRkiSJEkA6Jo8eFfzVUWjRo3w9PRk+fLl6rbr168DBQ+5LV68WB0XfP36dWJjY9V0GzZsIDc3l7S0NL766it8fHwAsLS0JCUlpcz6AgIC2LJlC6mpqQghWLNmTanhE5Ik/XPIhrAkSZIEwJA27am8z7Q4BXi0Tfu6CEe1ceNGfvnlF5ydndHpdHz++ecArFixAmNjY3Q6HRqNhgEDBhAf//esF926dcPf3x+9Xs+gQYPUYRGTJk1i0aJFuLi4EBISUqyugQMH8uSTT+Lh4YFGowHg1VdfrdPjkySp/ihCVPcZ4X8mRVFsgdjY2FhsbW3rNxhJkqQ6EB0djaOjY4Vp3jx9nL3VmEKtf+s2vObc7U5Dq3Xe3t7MmjWr0jHBkiT9s5R8n4uLi6NDhw4AHYQQcSXTyx5hSZIkSTXLQYujZZMqpXW0bMJMB20dRyRJklR35MNykiRJksrCxISV3Tx4/+xJ9ibFlzmvsAL0a92GmQ7ae3Z55bCwsPoOQZKk+8BdfwdTFOUB4HVgNNBMCGGlKEo/oIsQ4qO7HY8kSZJUnIWJCa85d2NiRwe2xf9OZPJfpOXm0tDEBF2TBxnSpj3W5hb1HaYkSdIdq4+P8suBNsBYYNftbWdub5cNYUmSpHuEtbkFkztVPKZYkiTpflYfDeHHgE5CiDRFUfIBhBDxiqK0qYdYJEmSpHIkZmSy7UoSJ2/cVHuEtU0tGdK2NdbmZpUXIEmSdI+rj4Zwdsl6FUVpAfxZD7FIkiRJJaTn5rE0+gIhiX+UGiN8Mvkmm2Kv4G/dglmOnbAwMa6XGCVJkmpDfcwa8RWwTlGUDgCKolhTMCRiSz3EIkmSJBWRnpvHi0dPsa+MRnAhAexL/IMXj54iPTevxnV99dVXuLi4oNfrcXBwYMyYMeq+hQsXkp2dXeOyC4WEhBSbSiklJQUTExM+/vhjddvSpUsZN27cHddVmbCwMCwsLNDr9erP+PHjK823bds2Zs+eXWtxeHt7s2PHjiqnT0hIoFGjRiQnJxfbHhoaSseOHanONKyPPfaYeuyKoqDVatHr9fTv35+4uDh1+ew7ERgYSNu2bYud561bt95xuUXp9fpaWVVw1apVaDQadDodDg4OzJo1C4Dk5GTee++9CvMmJCSoi8RAwQqIt27duuOYSvL29sbOzg69Xo+TkxPDhg0rd0Gaqli4cKF6nPeC+ugRng+8B5wCLIAY4L/AG/UQiyRJklTE0ugLRN+s2n+m0Tdv8X70BV7T2Fe7nsTERKZOncrx48dp164dQggiIyPV/W+88QazZs3C1NS0WuXm5uZiUmQmi169evHbb79x9epVWrVqxc8//0yPHj0ICwtj2rRpQEED9fHHH69xHdXh5OTE0aNHq5VnyJAhDBkypEb11QYbGxv69u3Lli1bmDJliro9ODiYoKCgKi1dXejbb79Vf1cUhfDwcBo1agQUzPdaW+bNm8dzzz1Xa+WVZDAYytxenXsjIiKC5cuXExERQZMmTcjLy+PMmTPA3w3hOXPmlFuPjY0NoaGhNTuAavrggw945JFHEEIwatQoVq9ezdy5c+9K3XXtrvYIK4piDLwKzBVCNAJaAY2FEDOEEHf+0V+SJEmqscSMTEIS/6hWnn2Jf5CYkVntupKSkmjQoAHNmjUDChpFer0eQG2genp6otfrSU5OZvPmzbi5ueHi4oKLiwv79+9Xy7K1tWXRokX4+PgwefLkYvWYm5vj6uqqTqd24MABnn/+ebXRnZeXx88//4y3t3e16jh37hweHh7odDqcnZ1ZunSYJBh+AAAgAElEQVRptc9BUcHBwQQEBDBs2DB0Oh2+vr7qKnnBwcEMHz4coNx6b926RVBQEM7Ozjg7O/Of//xHLTsqKgo3Nze6devGk08+SWbm39crMTGR4cOH4+rqikaj4Z133ikzvqeeeoq1a9eqr1NTU/n222+ZMGHCHR13WV555RVcXFywt7fn559/Vrfv3LmTXr160b17dzw8PPj111+rXba3tzczZ86kT58+tGvXjqVLl/LFF1/g6emJra0tX331lZpWURQWLlyIp6cn9vb2fP3118X2Ffa+lrw3srOzmT17Nq6uruj1esaNG1dmT+2VK1ewsrJSPwgYGxuj1RbMyz1t2jSSk5PR6/V4enqqsc+fPx8/Pz8effTRcnvQ8/PzmTFjBqNHjyYrK4vDhw/j4+ND9+7d6d69Oz/88AMA165dw9/fH41Gg0ajYcaMGZWev9zcXNLT02natCkAp06dok+fPnTr1g0nJydWrFihpk1JSeGpp55Se7zL+mBy6tQpNBoNBw4cqLTuOiOEuKs/FIwFNrrb9VYhLltAxMbGCkmSpH+iqKioCvevPh8reu/5qdo/n56PrXYseXl54tFHHxXNmjUTw4YNE8uXLxfXr19X9wMiNTVVfX39+nWRn58vhBDi7Nmzok2bNuq+9u3bi2effbbcul599VUxZcoUIYQQrq6uIiEhQTz88MPi9OnTIiIiQjz00EPVrmP69OnizTffVF//9ddfQgghIiIixMCBA8uMIzQ0VJibmwudTqf+vPHGG0IIIdauXSvMzMzE2bNnhRBCLFy4UAwbNkzdV/h7efXOmTNHjB8/XuTn54uUlBTh5OQkdu7cKYQQolu3biI4OFgIIcShQ4eEkZGR2L59uxBCCH9/f3HgwAEhhBBZWVmid+/eYu/evaViz8rKEs2bNxdnzpwRQgixZs0a0b9//3LPeVWUvMaxsbECUGPbuHGj8PT0FEIIceHCBeHu7i5SUlKEEEKcPn1atGvXrsxyJ0yYINq0aVPsPJ84cUIIIYSXl5cYOXKkyMvLE/Hx8cLc3FzMnz9fCCHE4cOHi11zQL0+Z8+eFQ8++KC4evVqqdhL3huLFi0SixYtUl/PmTNHraOoW7duCTc3N2FjYyNGjx4tPv30U5GWlqaei2bNmhVL7+XlJQYPHixycnLKTAOIP/74QwwbNkzMnDlT5Ofnixs3bgi9Xi8SEhKEEEIkJCSINm3aiBs3bohly5aJp556Ss1feC+V5OXlJTp06CB0Op1o2rSpcHd3F5mZmUIIIW7evKn+npqaKhwdHdX3mcDAQPHcc8+JvLw8IYQQf/zxhxBCiAULFoiZM2eKkJAQ4ezsrN5TtaXk+1zhfQXYijLaf/UxNGIdMAVYVQ91S5IkSeU4eeNmjfJF1iCfkZER3333HadPn+bAgQN89913LFmyhFOnTvHggw+WSn/x4kVGjx5NfHw8DRo0ICkpiaSkJFq3bg1Q4VhbHx8fpk2bRmpqKrdu3cLa2hovLy/CwsLIyMjA29u72nX07duXWbNmkZ2djY+PjzpWs0ePHuzcubPcWCoaGtG7d2/s7QuGmUycOBGNRlMqTXn1hoSEsHLlShRFwdLSktGjRxMSEkKvXr04ffq0Ogba3d1dLTctLY2wsDD++OPvbwFSU1OJjo4mICCgWL2mpqaMHTuWtWvXsmTJEtauXcv06dPLPc6aatSokbostru7OzNnzgRgz549XLx4kb59+6ppc3Nz1SEvJVU0NGLEiBEYGRlhY2NDs2bNeOyxxwDo3r078fHxZGZmYmZWMCvK008/DYC9vT3dunXj119/LXOYStF7Y9u2bdy8eVMdl5yVlYVOpyuVp2HDhhw6dIijR4/y008/sWbNGj7++GMiIiLKPT9jxoypcOjFgAEDGDVqlDoGNzw8nNjYWAYOHKimURSFCxcu4O7uzrJly5g9ezZeXl7079+/3HILh0bk5eUxZcoU5s6dy4oVK0hPT+fZZ58lMjISIyMjEhISiIyMxNHRkR07dnDs2DGMjAoGHxTtvd67dy+7d+9m79692NjYlFvv3VAfD8u5AisVRYlTFOUnRVEOFv7UQyySJEnSbWm5uXc1H4CzszPTpk1j3759WFlZlbsi3OjRo5k6dSpnzpzh+PHjmJiYFPuKv/Dr5bJ4enoSGxvL119/Ta9evYCCBmVYWBhhYWFqY7I6dQwbNoxffvmFjh07snjx4lp/2E4IUebY2/LqLSt94evyxvDm5+ejKAoREREYDAYMBgMXL14st4H79NNPs2HDBqKjozl79iyPPvpomemKPhCXmppa5WMGeOCBB9TfjY2Nyb19bwkhGDBggBqnwWAgISGhzEZwZQobuYV1FL42Ni6YASW3nPu5vGsCxe8NIQSrVq1S44yOjmbLlrLnA1AUhZ49e/LSSy/x888/8/vvv3P69OlyY6/oPoeCD327d+8mLS1NjUWr1RY7b5cvX6ZHjx54eHhgMBjo3r07GzZsKPbgXXmMjY15/PHH2bdvHwDz58+ndevWnDhxgsjISFxdXYv9zZSnS5cu5OXlVXu8fF2oj4bwf4GJwAJgDfB5kR9JkiSpnjSs4QNgNckXHx/PoUOH1NdXrlzhjz/+oEOHDgA0bty42JPpycnJ6r7PP/+crKysKtdlZmaGm5sb77zzjtr726NHD44ePaqOD65uHRcuXKB169YEBgayYMECjhw5UuV4yvPLL78QExMDFIwLLqthUl69AQEBrFmzBiEEqampbNmyBX9/fywtLXF2dmbz5s0AHDlyhFOnTgEF57hPnz4sXrxYLf/y5cskJSWVGZ9Go6Ft27aMHz+eMWPGFGu0FvXtt9+qja7GjRvX/IQU0a9fP3bv3q0+TAZU2HNaWwrHRcfExGAwGHBzc6s0z5AhQ1i2bJk6q0RhL3tJZ8+eLdboPXfuHNnZ2bRt2xZLS0vS09PLbZSXZ8GCBQQEBDBgwABu3ryJp6cnMTExxR6qi4iIQAhBbGwslpaWjBo1imXLlnHs2DHy8/MrrSM0NJQuXboABX8z7dq1w8TEhNOnT/PTTz+p6R555BGWLFmizipy/fp1dZ+trS379u3j5Zdf5ssvv6zWMda2uz40Qgix7m7XKUmSJFVO29SSk8nVH+aga2pZ7Ty5ubksWLCA33//HXNzc/Lz83nrrbdwcXEBYObMmfj6+mJubk5YWBgrVqxg6NChtGnTBi8vL/Uhu6ry8fHhjTfewMvLCwATExM6depETEwMtra2ANWq43//+x+bNm3C1NQURVFYuXIlAEePHuX1118vd3hEVFSU+lAgFMzIUJjWy8uLBQsWcObMGZo1a8aGDRuqXO9rr73Gc889pw57GDduHAMGDABg/fr1BAUFsWzZMrp37467u7ta3qZNm5gxY4aar3Hjxvzf//2fOhykpKeffpqpU6fy3//+t9xzUxc6d+7Mxo0befrpp8nIyCA7O5tevXrRs2fPMtMvXryYNWvWqK+nTJlSbMaLqnrggQfo1asX169f59NPP6Vly5aV5pk3bx4LFy6kZ8+eGBkZoSgKCxYsKDaNH0B6ejovvvgi165dw8zMDGNjYzZu3KjWMXbsWDQaDU2bNiU8PLzKMc+dOxdzc3P8/f3ZvXu3Ov3eiy++SHZ2NnZ2dmzfvp2wsDDef/99TExMyM/PZ/Xq1eowhpKmT5/Oq6++Sk5ODg899BCrV68G4NVXX2XcuHFs3LiRjh07Fhu6snz5cl588UWcnZ0xMTHBy8uLDz74QN3ftm1b9u/fT//+/UlPTycoKKjKx1iblMKW+l2tVFGCgHEULLUcD2wQQqytOFedx2QLxMbGxqpvipIkSf8k0dHRpf4zLioxI5Mnfjpa7vzBZVGA//XpQWu50twdCQ4OZseOHbU+361Uc4qikJqaWulwBOneUvJ9Li4urvCbng5CiLiS6e/60AhFUV4B5lGwgMb02//Oub1dkiRJqifW5mb4W7eoVp4A6xayESxJ0n2rPmaNmAh4CyF+L9ygKMoe4CDwdj3EI0mSJN02y7ETV9IyqrSohqNlI2Y6droLUf3zBQYGEhgYWN9hSEXUxzfm0t1XHw/LNQRKztj+J2BeD7FIkiRJRViYGLOih4Z+1i0ob70wBehn3YIVPTRYmBjfzfAkSZJqVX30CO8GNimKMg+4BLSnoCd4Tz3EIkmSJJVgYWLMaxp7JnZqz/YrSUTeuElabi4NTUzQNbVkcNvWWMvhEJIk/QPUR4/wc0AqEAncAgxAGvB8PcQiSZIklUcYgbBAEZYoogmKsARhUbBdkiTpH6A+pk+7CYxXFCUQaA5cF0JUPnGdJEmSdFek5+bz/plEQhJvlppB4uSNDDb99if+1pbM7GqNhYlsFEuSdP+qj1kjxiuKohVC5Ashrgkh8hVF0SmKUrvL8kiSJEnVlp6bz4yI39lXRiO4kAD2Jd5kRsTvpOfKfgxJku5f9fFRfhFwucS2y8Bb9RCLJEmSVMT7ZxKJTql8iVSA6JRMlkUl1qgeNzc39Ho9Tk5OmJiYqEvyBgUFERYWRo8ePWpUblHe3t7s2LHjjsspytbWtsIlcMvy559/4unpiV6vZ8mSJcX2JScn89577xXbVhtxh4WFYWFhgV6vx9nZGS8vL86ePavunzhxYrFVwO6GadOmqdfZ1NQUBwcH9XVeXh6KonDrVuWzlVRk4cKFtGzZUi23Kss8F623Jte3Oiq6t48ePcrYsWNrtb7w8HCcnZ1xcXEptrocgMFg4H//+1+xbbV9DRwcHBgzZoy65DOAXq9XV927F9RHQ9gSKLl0UQrQpB5ikSRJkm5LTM8mJLF6K8vtS7hJYnp2tes6fPgwBoOBnTt30qRJE3VJ3sIlbe8FeXl5tVJOSEgITZs2xWAwMHv27GL7ymoI1xYnJycMBgOnT5/G3d2dGTNmqPvWrFlDnz596qTe8nz88cfqdbaxsWHr1q3qa2Pj2pt9ZPz48Wq5tbnMc13r0aMHmzZtqtUyN2zYwIQJEzhx4kSpJbvLagjXlsJrcPLkSS5fvsxHH31UrF5z83tnorD6aAhHAcNKbHsMKL0QtyRJknTXbL+SXK1V5aBgmMSOK8m1Hktubi6TJ09Gq9Wi0+mIjv77v4h169bh5uZG9+7d8fX15dy5c9Uqe/fu3bi4uKDVavHz8+PChQtAQW+dXq/n+eefx93dnV27dvHTTz+h0WhwdXVl+vTp5c4tm5eXx6xZs3B2dsbZ2ZlZs2aRl5dHaGgos2fP5pdffkGv15fqhZ02bRrJycno9Xo8PT3V7QcOHKB3797Y2dkxb948dXtiYiLDhw/H1dUVjUbDO++8U6Vj9vb25tKlS8VeF/Y6BwYGMmXKFHx9fencuTPjx49XjzM+Ph4/Pz+6du3KkCFDGDx4sNqo+eyzz3B0dESv16PVaov1ONfUBx98QM+ePbGzs+Prr79Wtx8+fBgfHx+6d+9O9+7d+eGHH6pV7rlz5xg4cCA9e/ZEp9NV6QPXhQsX8PPzQ6vV0q1bN3bv3g3Ap59+yrRp0wA4cuQIiqIQEREBwNSpU/nss89IT09nxIgRODk5odPpGDlypFpuefd20d7iuLg4mjdvzqxZs9RrXV4P/tWrV3nsscfQarVoNBrWr18PwJIlS/jyyy9ZuXJlqV7YP//8k9dff52QkBD0ej3Tp09X99XmNTA1NcXT07PYvVeyB/7111/Hw8MDW1vbYg3mwr89rVbLCy+8QPv27eumt14IcVd/gN4U9Ah/DbwHfENBj3Cvux1LibhsAREbGyuk2pObEi/SD60SN7+ZJFK2jBU3v5kk0g+tErkp8Xc9lqzUeJF4fJW4uHuSiNk+VlzcPUkkHl8lslLvfiySVB+ioqIq3D/t11jRZ1dUtX+m/Rpb45hiY2NFs2bNim0LDQ0VJiYm4vjx40IIId566y0xZswYIYQQBw8eFA8//LDIzMwUQgixc+dO4enpWWbZXl5eYvv27cW2Xb16VTRv3lycOXNGCCHEmjVrhKurq1qvkZGRCA8PF0IIkZmZKWxsbERoaKgQQogvv/xSAOLUqVOl6lq1apXw8/MTWVlZIisrS/j6+opVq1YJIYRYu3atGDZsWJWP38vLS4wcOVLk5eWJ5ORk0axZM3H+/HkhhBD+/v7iwIEDQgghsrKyRO/evcXevXtLlRsaGiq6d+8uhBAiLy9PTJ48Wbz55ptlnpsJEyaIXr16iYyMDJGVlSWcnJzUMh9//HGxaNEiIYQQcXFxonHjxuLDDz8UQghhaWkpLl26pJ6rtLQ0IYQQr732mvjkk0/KPN5C7du3L3UeAbXsn3/+WdjY2AghhLhx44bQ6/UiISFBCCFEQkKCaNOmjbhx40apchcsWCBatGghdDqd0Ol0YurUqSInJ0d069ZNREdHCyGEuHnzpujSpYv6GhCpqaml4nJ1dRVr1qwRQghx5swZ0axZM3Ht2jURExMj7O3thRBCvPPOO8LDw0O8++67QgghunTpIi5cuCC++eYb4efnp8b1119/qdelvHu76DWLjY0VgFi3bp0QQoiwsDDRpk0b9b4vauTIkeLVV19Vz03r1q3VY5gwYYJ6Tksq676srWswc+ZM9Vy7ubmJ/fv3F6uj6PkuTBsbGysaNmwoUlNTRWZmpmjTpo04ePCgEEKIb775pty/vZJKvs8VnkvAVpTR/quPWSN+VhTFGRgDtAOOAC8IIUqOG5buYyInnfSw/5AdsxdK9DHlJkaSeXw9pp37YeE9F6WBRZ3GkpeTTsLh/5ASWzqW9GuRXD+9HqsO/bBxm4txHcciSfeytBo++FbTfBWxt7fHxcUFAHd3d7Zv3w7A9u3biYyMxM3NDSjozLlx40aVyz18+DA6nQ4nJycAgoKCmDp1qjqOtHPnznh4eAAFvYgWFhZ4e3sDMHLkSCZNmlRmuSEhIQQGBmJqaqqW++233/Lss89W88gLjBgxAiMjI6ysrHB0dOTixYvY2NgQFhbGH3/8vSZVamoq0dHRBAQElCojKioKvV5PfHw8zZo1Izw8vNz6hg4diplZwdzQ3bp14+LFiwQEBBAaGsoHH3wAQPv27fHz81Pz+Pr6EhQUxKOPPsqgQYOws7MD4M0336zRMQOMGjUKKLjmCQkJZGZmEh4eTmxsLAMHDlTTKYrChQsXyhxvO378eJYuXVrsPERHR6tlA2RlZREdHY2Dg0OZcaSmpmIwGAgKCgIKhpno9Xp+/fVXBg8eTEZGBleuXGH//v28++67vPXWW4wdO5asrCw6duyIoiicPXuWadOm4e3tzaBBg9Syy7u3SzI1NeXJJ58EwMvLC3Nzc86dO4dWqy2WLiQkhPfffx8Aa2trBg0aRGhoKM7OzuWc5YrVxjVYv349+/btIyYmhsGDB5callFWfba2tjRt2pQrV66QnZ2Nubm5Onznscceo0mTuhlBWx8LaiCEuAQsBlAUxRyonYFY0j1B5KST+v1z5F2LqigV2TF7yEu5TONHP6qzxnBeTjpx+54j48+KY0mJ3UP2zcvYBnwkG8PSv1bDGk6FVtN8FSlslAEYGxuTm5sLFDR8n3rqqRo3toQQKEp5a+ZBo0aNiqW9k3IrqqcyZR1/fn6++jV8gwYNKi3DycmJo0ePkp2dzahRo3j22Wf58ssvq1xfZcfxzTffEBERwY8//oiPjw+rV68u1lCqicI4CscM5+bmIoRAq9Vy8ODBGpUphKB58+YYDIZq5SlL4bnw9fXlhx9+4OrVq3h5eTFt2jR++OEHfH19AbCzsyM6Opr9+/eza9cu5s+fz6lTp4odY+FxFj3XlcVU3rWoi3vvTq5B4YeRpKQkevfuzerVq8v9UFjW+ajs77Q21cf0aUsVRXG9/fsg4C8gWVGUwZXkG6QoynFFUU4pinJAUZQOZaQxVhTlY0VRLiqKckFRlIl1cxRSRdLD/lNJI/hvedeiSD9QNw+KACQc/k8ljeC/ZfwZRcLhuotFku512qY1+xCoq2G+mhg8eDDr16/nypUrQMHY3GPHjlU5v4eHBwaDQR3Pum7dOlxcXMp8oMrBwYGMjAz1P/+tW7eSkpJSZrkBAQEEBweTk5NDTk4O69atw9/fv9J4LC0tSU9Pr1JjqHHjxvTp04fFixer2y5fvkxSUlKF+UxNTfnkk0/YtWtXtRqDUDCWODg4WK3rxx9/BAoaR7/99huurq7MmzePfv36ceLEiWqVXVWenp7ExMQUm/UgIiKiyh9U7O3tsbCwYMOGDeq2s2fPcvNm+Q+GWlpaotfrWbdunZq+6DcRfn5+vPvuu/Tq1QuAXr16sXjxYrXH/MqVKxgbGzN06FCWL1/OH3/8wV9//VWt487Ozmbz5s1AwXjZzMxM7O3tS6Xz9/fns88+AyApKYmdO3dW2ANb9BjLu59Lquk1aN26NStXrmTRokVkZlZtNhoo+NtLS0vjl19+AeD7778nObn2n0WA+nlYbixQONr5deBJYAhQ7oh/RVGaAuuAUUIIDfBf4JNyyu4EdAY8gIWKotjWVuBS5fJuJtweDlF12ef3kHczodZjyb6VcHs4RNWlxO4h+1btxyJJ94PBbZtQ3T4YBRjcrmldhFOmvn378vbbbzNkyBB0Oh3Ozs58//335aYPDAykbdu26k9iYiIbNmxgzJgxaLVaNm7cyMaNG8vM+8ADD/DFF18wbdo0XF1dOXr0KA899FCZaSdNmoRWq8XFxUV9EO+ZZ56p9HgefPBBxo4di0ajKfawXHk2bdpEVFQUGo0GjUbDE088UaUGQqtWrZg1axZvvPFGpWmLWrlyJfv27UOn0zFr1ix69eqFlZUVeXl5BAYGotFo0Ol0JCYmMnnyZABef/11Vq9eXa16KtK0aVO2bdvGG2+8gU6nw9HRkYULF1a5IWxiYsL27dvZsmULWq2Wrl27MnXqVLKzK57tZNOmTWzcuBGtVsuYMWPYsGEDLVq0AAp6hH///Xe14evn58fvv/+u9gifOnUKDw8PdDodrq6uvPzyy9jY2FTruJs1a0ZMTAxubm5MnTqVL774Qh16U9QHH3xAZGQkWq2WgIAAFi9eTNeuXSst38/Pj7S0NHQ6XbGH5cpyJ9dg0KBBODg48Omnn1aattADDzzA5s2bmTJlCm5ubvz666+0atUKKyurKpdRVUp1vvqplQoVJUUIYaUoSjPgrBCixe3tN4UQluXk6QkECyG63n79IPAn0EIIcb1Iuh+AtUKIrbdffwT8LoRYUkaxJeuwBWJjY2OxtbW9k0P8V8v49RMyj6+rdj6zbhMwd6/ZWLryJJ34hOunqx9LC+cJtHKp3Vgk6V4QHR2No6NjhWkWRcazrxpTqPWzseRVbZs7DU26R2VkZNCgQQNMTExITEykZ8+e7N+/v8yeSan2xMXF0aNHD65fv1554n+o1NRU9Zua0NBQJkyYQFxcHEZGFffhlnyfi4uLo0OHDgAdhBBxJdPXxxjh84qiFPbc7gNQFKU5UNHsyueB1oqi9BRCRFDQ8wvwEFD0LnkI+L3I60sUPJBXjKIoTSg9b3Hb6hyEVLbcxOp97Xan+SqSfq1mZabVMJ8k/RPM7GrNlfTsKi2q4WhlxktO1nchKqm+xMTEqNOp5eTksGDBAtkIlu6Kr7/+muXLl5Ofn4+ZmRlffPFFpY3gmqiPhvBUYCWQDTx9e1t/oNzvsIUQKYqiPAEsVxTFDNgFJAM5NYzhRWBBDfNKFRDZaZUnqsV8FcnPqVmZNc0nSf8EFiZGLO/ZnmVRiexLKHuZZQUIsLHkJSdrLOrgQTnp3qHVaqs9rli6c7a2tv/q3mAoGNYUGBhY5/XUx/RpEYBniW2bAHU5FUVR5gkhFpdIEwKE3N7fCpgN/Fai+EtAeyDi9uuSPcSFVgDBJba1Be7uepP/QIppw7uaryJGDWpWZk3zSdI/hYWJEa9q2/B0pxbsuJJM5I100nLzaWhihK6pBY+0bYK1RemxipIkSfebepk+rQrmc3t6tUKKorQWQiQpimJEwYN1q4UQJbvuvgKeURTlG6AZMBToW7JwIUQyBT3KRcuvxfD/vUys9eQmRtYoX22zaKkn/Vr1Y2nYsvZjkaT7kbWFKc90aVnfYUiSJNWZe/U7rbJapW8pihINxFAwrGIegKIoOxVFKZzNeQMFvcQxwK/Am0KIkr3GUh0ydXqUsi9fRRRMuw6t9Vge7FyzWJp2rv1YJOl+lJSez3/PZjI9PI2nD9xienga/z2bSVJ67S+gIUmSVB/u1R7hUsPShBBlzgkshHi4yO95gHzcvx4ZW9pg2rkf2TF7qpzHtEt/jBvX/gM3po1ssOrQj5TYqsdi1aE/po3kwz/Sv1tGrmDZqUz2x+eUejM+9VceX1zIxq9NA17SmGFuIr9NkyTp/nWv9ghL9zEL77kYt3SqUlrjlk5YeM2ps1hs3OZi3qxqsZg3c8LGre5ikaT7QUau4KVf0wgpoxFcSAAh8Tm89GsaGbk1n4LT1tYWBwcH9Ho9er2eGTNm1LisO7FixQquXbtW7v6cnBwWLlyIvb09Xbt2Ra/XM3z4cKKiqrZYjyRJ9657tSEsuxjuY0oDCxo/+hGmXQZQ/qVUMO0yoE6XVwYwbmCBbcBHWHWoOBarDgPk8sqSBCw7lcnZ5KoNfTibnM/yU1VfLaosW7duxWAwYDAYWL58ebXy5uXlFXtd1aVqS6qsIRwUFMTJkyc5fPgwZ86c4cSJEzzxxBNER0fXqD5Jku4d92pDWM7ecJ9TGljQ0H8hlk9+jVm3CZhY6zBu1gkTax1m3SZg+eTXNPRfWKeN4ELGDSxo13shXR77mhbOE7BoqcOsaScsWupo4TyBLo99TbveC2UjWPrXS0rPZ3989WalDInPqfUxw7t371ZXZ/Pz8+PChQsAhIWFodfref7553F3d2fXrl3Y2tqyaNEifHx8mDx5MtnZ2cyePRtXV1f0emV7HlIAACAASURBVD3jxo3j1q1bAHz22Wc4Ojqi1+vRarWcPXuWt99+m4SEBIYPH45ery/VyxsTE8O3337L559/TpMmBdPPK4rCiBEjGDZsGFAwzdNHH32k5in6OjAwkMmTJ+Pr60v79u2ZMWMGP/74I3369MHW1paVK1eq+WxtbXn55Zfp27cvnTp1KlamJEl1o17GCCuK4guMBmyABGCLEGJ/4f6i436l+5uxpU2trxhXU6aNbOSKcdL/s3fnYVVV6wPHv5vhoKiAZqmEhhgyngERBWdASy2Hex3y52yWWpZeU9PbqGZpZnUry65ZOVfG7ZqZU5ho6VUIOSCIpgYqikMpyiQHOPv3B3oSmY8Mmu/neXg6Z++11n73xg7vWXvttUQ5vjtpKnM4RFlUYNNJE09417PqmIMHD6ZevaK6b775JgEBAYwaNYpdu3bh6+vLp59+yogRI9i/fz9QtHTt0qVL+eCDDwB45plnSE9PZ+fOnQDMnz8fZ2dnoqOjAZg1axYLFizg9ddfZ+bMmSQmJtKyZUvy8vIoLCzkxRdf5JNPPiEiIgJ/f/8S8cXFxeHp6UnjxtYvI52UlMSOHTsoLCzE3d2dy5cvs2vXLtLT0/Hy8mL8+PE0bNgQgHPnzrF7927OnTtHQEAA3bp1Q6fTWX1sIUT5ar1HWFGU54AvgYvA9xQtlbxOUZTptR2LEEKIPx28WFhxoVIkWFkPig+NePjhh9m/fz96vR5f36Kx/ePGjcNoNJKZmQmAp6cnISEhxdoYPXq05fXGjRtZs2aNZdzxxo0bOX78OABhYWGMGzeODz74gNOnT+PoWPW7QIcOHcJgMNC2bVumTp1aqToDBw7EwcEBR0dHvLy86Nu3LzY2Ntx///00btyYtLQ0S9nx44vWmWrWrBmPPPIIUVFRVY5RCFF5ddEjPB0IU1U18foGRVFWU7Tc8tt1EI8QQgggO9+6B9+srVcaVVXLndf9es9pWdtUVeWjjz4iLCysRLlvvvmGmJgYfvzxR0JDQ/n444/p06dPufEEBARw9OhRMjIycHFxwdfXF6PRyJIlS/jll18AsLOzw2z+c3jI1avFx01f7/EGsLW1LfG+rLHNFV0LIcStq6sxwsduev8bpUyZJoQQovY0sLcu6bK2XmlCQkIwGo0cPnwYgJUrVxIQEECjRo0qVb9///6888475ObmApCZmUlycjIFBQX89ttvdOjQgdmzZ/PQQw8RFxcHgJOTE5cvXy61PU9PTwYMGMCTTz5ZrEx29p/rObVp04aYmKIFTW8cpmGNFStWAHDhwgW2bNlCjx49rG5LCFGxWukRvrYa3HVzgE8VRZkDpAEtgZeBV2sjFiGEEKXTNrG1aniErolttcVw7733snr1aoYPH05BQQH33nsva9asqXT92bNnM2fOHIKCgrCxsUFRFF599VU8PDwYO3YsGRkZ2NjY0LJlSxYuLFrAdMqUKYwbNw5HR0fWrVtnGZZx3YoVK3jttdcICgrC3t6exo0b4+rqyuzZswGYMGECgwcPRq/X07ZtWzp27Gj1+bdq1YquXbuSnp7OP//5T7RardVtCSEqpqhqzXfEKopi5s8e3xu7Dm7cpqqqWn2fplWkKIo7kJKSkoK7u3tdhSGEEDUmOTkZHx+fMvefzTEz/MesKt2eU4B1YQ1p7ni7TkJ053B3d2fTpk2lPrQnhKicmz/nUlNTad26NUBrVVVTby5fW2OEW9fScYQQQlipuaMN4ffbE1mFKdR63m8vSbAQ4o5VK4mwqqonauM4Qgghbs1z2nqkZRdWalENbxcbpmmtmzZNlJSamlrXIQhx16mtMcKrqcTDcKqqjq6ojBBCiJpT307hneAGvHvwapnLLCsU9QRP09ajvp3MaiCEuHPV1tCIG2eJaAqMAb4DTgCtgH7AylqKRQghRDnq2ym8EFCfx70c2HTSRMLFQrLzVRrYK+ia2PJoK40MhxBC/CXU1tCIuddfK4qyDXhEVdWfbtjWhaKZI4QQQtwm6qnwoMkWh1wFU76KpkChpcmGejLZpRDiL6IuFtQIBvbdtG0/EFJKWSGEELXMlK+yNTafpBM3T6Wmkva7mf8lF+D3gC29A+3RVOMcwkIIUdvq4t5WHPCGoij1Aa7993XAWAexCCGEuIEpX2VdVF4pSXBxSScKWReVh6kaV5UTQojaVheJ8FigM3BZUZRzwGWgC0XjhoUQQtShrbH5pF+sXHKbfrGo59ha+fn5vPLKK7Rt2xY/Pz98fHyYPn06+fn5bNy4kZkzZwJFsyksW7bM6uOUZenSpXh7exMQEEBmZmaJ/du3b6dr1660adOG9u3b07FjR8vKb1WxYsUKBg8eXA0RCyGqW60Pjbg2mXEnRVFaAS2AdFVVT9Z2HEIIIYrLyDZX2BN8s6QThXTTmnFpUPV+lXHjxpGbm0tsbCyNGjUiPz+fzz//nLy8PPr370///v2BPxPhCRMmVPkY5Xn//fdZvXo1QUFBJfZt376dxx9/nIiICIKDgwE4fvw4n376abXGIISoW3X52G8GcAooUBTFVVEU1zqMRQgh7nrG41VfXhkg3op6R48e5b///S/Lly+nUaNGANjb2zNhwgQaNmxYrBd18uTJHDp0CIPBwODBg1m/fj2PPvqopa28vDxatGjBqVOnShwnJiaGkJAQdDodISEhxMTEAPDYY49x/PhxRo0axYgRI0rUmzdvHi+//LIlCQZo06YNb7zxhuX9qlWr0Gq16HQ6/va3v3H+/HkATCYTEydOxMvLi7CwMKKjo6t8fYQQtaPWE2FFUXoqivIbcAlIu+Gn5CeYEEKIWnPqQsWLaJTmpBX14uLi8PT0pHHjxhWW/fDDD/H19cVoNBIREcHf//53Dh48SEpKCgDr168nODiYli1bFqtnMpkYNGgQr732GgkJCcyfP59BgwZhMpn46quvcHV1JSIigrVr15Y45oEDB+jYsWOZMSUmJjJ79my2b99OQkIC/v7+PPvsswD8+9//JiUlhcTERDZt2iSJsBC3sbroEf4UeANwBuxv+NHUQSxCCCGusfbBN2vqqar1D9nZ2dkxceJEPv74Y6AoUZ48eXKJckeOHEGj0dCzZ08AwsPD0Wg0HDlypMrHHDx4MHq9nubNmwOwc+dO+vbtS4sWLQCYOHEikZGRln1jxozB3t4eR0dHRo4cadV5CiFqXl1Mn1YP+FxVVevuwQkhhKgRRVOhVT1BtWYKtXbt2nH06FEuXbpUqV7hm02YMIGAgAD69+9PRkYG4eHhJcqoqoqilIyttG03CwgIICYmBoPBAEBERARZWVmWYRyltX39/a0k+UKI2lUXPcLvAs8rlfkkEkIIUWta3mvdn4RWVtTz9PSkf//+TJw40TJjQ2FhIe+99x5ZWVnFyjo5OXH58uVi25o2bUrPnj0ZNmwYTz/9dKnJrbe3N3l5eezcuRMo6qnNz8+nbdu2Fcb38ssvM2/evGLDGrKzsy2vw8PD2bx5M2fPngXgk08+KdbzvHr1agoKCsjNzWXdunWVuSRCiDpQFz3C/wG2Af9UFOX3G3eoqupRB/EIIYQADG1s+V9ygVX1rLFy5Urmzp1LYGAgGo0Gs9lM3759cXBwKFZOp9Ph5eWFv78/3t7eREREAPDEE0/w9ddfM2ZM6bNvajQa/vOf/zBlyhSys7Np0KABERERaDQVj8Tr3bs3y5YtY9q0aaSnp9OsWTMcHBz497//DYCfnx8LFiygV69eKIqCh4eHZd+ECRNISEjAz88PNzc3unfvbhnPLIS4vSi1fQtHUZR4ihbP+BrIvXGfqqo7ajWYGyiK4g6kpKSk4O7uXldhCCFEjUlOTsbHx6fcMhv3mao0hZrfA7b0D66bRzzmz59Peno6H374YZ0cXwhx+7n5cy41NZXWrVsDtL42hW8xddEj3BoIUFXVuseThRBC1JjegfZczDRXalGNFk0Uegfa10JUJfn5+WFnZ8e2bdvq5PhCiL+GukiEvwXCgMg6OLYQQohyaOwVhvdwYGtsfrk9w34P2NI70N6qB+WqQ1JSUp0cVwjx11IXibADsFFRlJ+AczfuUFV1dB3EI4QQ4gYae4X+wRq6ac3EHy/k5AUzpnwVjb1Cq3tt0LextWolOSGEuN3URSKcdO1HCCHEbcylgQ3ddZLwCiH+umolEVYUpZuqqruvvf2pNo4phBDi1uRkmkk9UsgfZ80U5KvY2Svc09wGdy9bHBtJgiyEuPPVVo/wR4D/tdefllFGBWT6NCGEqGMF+Srxe/JJO37zGGGVi+fMHI0vwK2NLfrO9tjV0RhhIYSoDrXylV5VVf8bXrcu40eSYCGEqGMF+Sp7tuSVkgQXl3a8kD1b8iiwcllmgLy8PKZPn06bNm3w9vYmICCADRs2WN1eWdzd3fH29sZgMGAwGJg2bRoAY8eOZcmSJdV+PIBLly4xfvx4PDw8aNu2LZ07d+ann2r+huicOXMwmUyW99V1jmfPnmX06NF4eHjg7+9PQEAAn3zyidXtVee1T01NpUePHlWq4+7ujr+/P2azudi2xMREq2LIyMhg0aJFVtUVdUvubQkhhLCI35NPxoXKJbcZF4p6jq319NNPk5aWRlJSEocPH2b16tU888wz7N69u+LKVRQREYHRaMRoNPLuu+9We/s3GzJkCE5OThw9epRff/2VN954g7///e8cO3as2o5RUFBy8ZO5c+cWS4SrQ05ODt27d8fHx4djx46RmJjIzp07iyWRd6KsrCxWr15dLW1JInznkkRYCCEEUDQmuKKe4JulHS8kJ7PqCdGJEyf46quvWLp0KfXq1QPA39+fF198kblz5wKwYsUKHnroIR577DH8/Pzo3LmzZUljgEWLFtGhQwfatWtHv379iu2rKpPJxMyZM+nQoQMGg4FRo0aRlZVFVlYWTZs2pbCw6Lr4+voyefJkAKKjo+nUqVOJtnbv3s2RI0dYtGgRtrZFq+51796dxx9/nAULFpCTk0PTpk35/fc/F1edPn265bz3799PaGgogYGBBAYG8v333wNFPZ9NmzZlzpw5dOnSheXLlxc77vW4OnXqhMFgICMjA4DExETCwsLw9PRk9OjRXF9I68qVKzzxxBN06NABnU7H1KlTLed5o3Xr1tGkSRP++c9/YmNTlDa4uLgwceJEAHr06MGmTZss5W98f/r0aQYNGoROp0On07FgwYIS7e/cuROtVktiYiLnzp3jb3/7GzqdDq1Wy6pVqyzlYmJiCAkJQafTERISQkxMDAC2trY0adIEgCNHjhASEoJer8ff35/FixeXON51c+bMKdGDfl16ejqDBw+mQ4cOaLVa3njjDQDMZjNPP/003t7e6PV6OnfubLn2GRkZGAyGUv9NiNuXJMJCCCEASD1StST4VuodPHiQBx980JLAXBccHEx8fLzlfUxMDIsXLyYpKQlfX18++OADANasWcOxY8fYt28fBw4coG/fvkyfPr3M4w0ePNgyNKK0RTgWLVqEs7Mz0dHRGI1GXF1dWbBgAQ0bNsTb25uYmBjS09NxdHTk559/BmDHjh2Eh4eXaCshIYHAwEDs7YsvNnL93BwdHRkwYADr1q0Dinp2v/jiC8aMGUNGRgaTJk1i3bp1xMbGsmnTJiZOnGhJav/44w98fHz4+eefmTRpUrH2r6+wt3fvXoxGIy4uLkBRIrx582aSkpKIjY0lMrJoGv/nnnuO7t27W875/PnzfPbZZyXO58CBA3Ts2LHMa1uekSNHEhwcTEJCAgkJCTz55JPF9q9du5bnn3+erVu34u/vz5QpU/D39ychIYHt27cza9YsEhMTMZlMDBo0iNdee42EhATmz5/PoEGDMJlMtGzZkm+++QaAjz76iL59+xIfH09iYiLjx48vM7b27dvTvn17li5dWmLf6NGjmTJlCtHR0cTGxrJlyxZ++OEH4uPjiYyM5NChQ8THx1sS/g8//BAXFxeMRiN79+616lqJulEX06cJIYS4Df1x1rpb3dbUu94rWZHOnTvTsmVLoCiR/OGHHwDYuHEjv/zyC+3atQOKkklnZ+cy24mIiMDf37/M/Rs3buTKlStEREQAReOX9Xo9AGFhYURGRvLAAw/Qr18/du7cSVpaGpGRkbz88stWndvYsWOZOnUqU6ZMYcuWLfj4+ODu7s7mzZtJSUmhT58+lrKKonDs2DGaNm1KvXr1GDp0aIXt32jgwIGWXvd27dpx/PhxevXqxcaNG4mOjubtt98GioZAuLm5WXU+pcnKymLv3r2W3xlA06ZNLa8///xz6tevz44dO3BycgIgMjLSEk+LFi145JFH2LlzJ6qqotFo6NmzJwDh4eFoNBqOHDmCVqu1tNmtWzdmzJiByWQiNDSU0NDQcmOcP38+oaGhxRLm7OxsoqKiuHDhgmVbZmYmycnJjBkzhsLCQsaPH09YWBiPPvqoVddG3D4kERZCCAFg9YNv1tTTarUcO3aMixcvFusV3rdvHzqdzvL+egIHRbfAr4+LVVWVl156iccff9yqmG+mqiofffQRYWFhJfaFh4czZ84cHnjgAZ544glsbGz4/vvviYuLIyQkpER5vV7PokWLyM/PL9YrfOO5de3alczMTA4ePMiKFSsYO3asJQ6dTlfqOOnU1FQaNGiAolRtpo7yruGGDRvw8Cj/WfXAwMBSe4qvs7OzKzZe+OrVq5WKS6/Xs3v3bg4dOkRwcLBl+83npygKqqqWet43bxs0aBAhISFs376dhQsX8tlnn7FmzZoyY/Dy8qJv37688847lm1msxlFUYiJiSnRqw9FqxpGRUWxY8cOZs2axYEDByp1vuL2JEMjhBBCAFg9FZo19dzd3RkyZAhPPfWUJXFKTEzk9ddf59VXX62wfv/+/fnoo4+4dOkSUNSDe+OQiqrq378/77zzDrm5ucCfPYAAISEhxMfHs3fvXjp27EjPnj1ZsGABgYGBODg4lGirW7dueHp68vzzz1vG3O7evZtPP/2Uf/7zn5Zyo0eP5u2332b37t0MGjQIKBrfe/ToUXbu3GkpFxMTU+le2UaNGnH58uVKn/PChQstMf7++++kpKSUKPd///d/XLhwgbfeessSR0ZGBu+99x4Abdq0sYzXPXToEEajEYCGDRvSqVOnYg8n3jguul27dvz3v/9l5MiR7Nq1C4CePXuybNkyoGimis2bNxMaGoq3tzd5eXmW67Jz507y8/Np27ZtsViPHTtG8+bNGTt2LK+++irR0dEVXoc5c+bw4YcfkpmZCRRdw65du7Jw4UJLmVOnTnH27FkuXLhAbm4uvXv3ZuHChTg7O/Pbb7/h5ORETk5OqQ8witubJMJCCCEAuKe5dX8SrK23dOlSXF1d8fX1xdvbm5EjR/Lee+/RvXv3CuuOGjWKESNG0L17d3Q6HYGBgezZs8eqOABmz56NXq8nKCgInU5Hly5dLImwRqMhKCgIT09P7O3tCQoK4tKlS6X2Hl8XERFBRkYGDz74IG3btmXWrFlERETg6elpKTNmzBhWr17NgAEDcHR0BKBx48Zs3LiRuXPnotfr8fHxYc6cOZVOhKdPn05YWFixh+XK8q9//QtbW1v0ej1arZbevXtz+vTpEuUaNGjArl27iI+Px8PDA61WS1hYGA0bNgRg1qxZbN68mfbt27N48WICAgIsddesWcOePXvw9/dHr9fz6afFlxLQarVs2rSJJ554gm3btvH+++8THx+PTqejV69eLFy4ED8/PzQaDf/5z3944YUX0Ol0vPDCC0RERKDRaIq1t379erRaLQEBATz77LOWZL08bm5ujBo1iosXL1q2rV27lkOHDqHVatFqtTz22GNkZGRw6tQpevbsiV6vR6fT0adPH4KDg2nSpAkjRoxAq9XKw3J3GMXasT9/NYqiuAMpKSkpuLu7120wQghRA5KTk/Hx8Slzf06mmR/W51W53V5DHWSlOSHEbeHmz7nU1FRat24N0FpV1dSby8snlxBCCAAcG9ng1sa2SnXc2shyy0KIO5d8egkhhLDQd7bH5d7Kjfl1uVdB37nkw0RCCHGnkERYCCGEhZ29Quc+DhX2DLu1saVzHwerH7ATQojbgUyfJoQQohg7e4XAHhp8As2kHinkj7NmCvJV7OwV7mlug7uXDIcQQvw1SCIshBCiVHZmaHIVHLLBbAIbDTS4WrRdCCH+CiQRFkIIUUyhSeXMjnwyDt+8dLJKzhkzF2IKcPG2xTXcHluNDI0QQty55N6WEEIIi0KTSsp/8kpJgovLOFxIyn/yKDTJFJxCiDuXJMJCCCEszuzIJ/ds5ZLb3LNFPcfWysvLY/r06bRp0wZvb28MBgNff/211e3VFpPJRN++fdHpdEybNq3E/jlz5mAymSzvx44dy5IlS27pmKmpqSiKwpAhQ4ptHzNmDIqikJiYeEvtlyUjI4NFixZVurzBYLCszifEnUASYSGEEACYLpsr7Am+WcbhQkyXrRs0/PTTT5OWlkZSUhKHDx9mzZo1/OMf/2DHjh1WtVdb4uLiOHHiBAkJCcWWD75u7ty5xRLh6tKkSRMOHjxoWVY6KyuLPXv2cP/991f7sa6raiJsNBqpX79+jcUjRHWTRFgIIQQAFw9WLQm21Euser0TJ07w1VdfsXTpUurVqweAv78/L730EnPnzgWKelZnzJhhqXPje5PJxMyZM+nQoQMGg4FRo0aRlZUFwJUrV3jiiSfo0KEDOp2OqVOnUlhYFGOPHj2YOXMmXbp0wcPDg9mzZ5cZ45tvvom/vz/+/v6MGzeOrKwsjhw5wogRI0hJScFgMPDVV18VqzN58mQAOnXqVGyZ48TERMLCwvD09GT06NGWJZPLi/VmiqIwdOhQvvjiCwC+/vprBg4ciJ3dn4/7HDt2jPDwcHQ6He3atWPr1q1AUY9y06ZNLeVufH/99YsvvkhAQABeXl78/PPPlvPJyMjAYDBYlg5+++23CQoKIiAggJCQEIxGY7EYr/8e3N3deeWVVwgJCcHd3d3SK242m3n66afx9vZGr9fTuXPnMn8HQtQ0SYSFEEIAkH3aup7d7LSq1zt48CAPPvggTZo0KbY9ODiYgwcPVlh/0aJFODs7Ex0djdFoxNXVlQULFgDw3HPP0b17d8u+8+fP89lnn1nqnjx5kt27dxMXF8fy5cs5evRoifa3bNnC6tWr2bt3LwcPHqSwsJDXXnsNLy8vli9fjq+vL0ajkccee6xYvQ8//BCAvXv3YjQacXFxAYoS4c2bN5OUlERsbCyRkZGVivVmY8eOZdWqVQCsXLmSsWPHFts/YsQIhg8fTkJCAmvWrGHkyJFcuHChwuv5xx9/EBISQlxcHK+88gqzZs2ynI+LiwtGo5G9e/cCMHr0aGJiYoiLi+O1115j0qRJZbabk5PD//73P6Kiopg9ezZZWVnEx8cTGRnJoUOHiI+PZ9OmTRXGJ0RNkVkjhBBCAGC28sE3a+pd7xEtjaJUPBPFxo0buXLlChEREUDReGO9Xm/ZFx0dzdtvvw0UJWNubm6WukOGDMHGxgZnZ2d8fHw4fvw4np6exdqPjIxk2LBhODk5ATBhwgSmTp1atZO8wcCBAy093+3ateP48eP06tWrwlhv5uHhgYODA5s3byYnJwd/f3/LvszMTIxGI+PGjQPA19cXg8HAvn370Gq15cbXsGFDHn30UaDoy8j06dPLLBsbG8sbb7zBxYsXsbGx4ddffy2z7LBhw4Ci3uHGjRuTlpaGh4cHhYWFjB8/nrCwMMtxhagLkggLIYQAwEajAFVPam2smEJNq9Vy7NgxLl68WKxXeN++fZZb8HZ2dpjNf/Y2X7161fJaVVU++ugjwsLCSrStqiobNmzAw8Oj1GNfT0gBbG1tKSgoKLWNmxPyyiToZSnrmBXFWpoxY8YwevRo5syZUyLm0iiKUu61BHBwcCg1vpuZTCYGDx7M7t27adeuHWfOnCl3jHJp5+3s7ExSUhJRUVHs2LGDWbNmceDAAZo3b15mO0LUFBkaIYQQAoAG91v3J6GBW9Xrubu7M2TIEJ566ilLUpaYmMi7777L/PnzAWjTpg2xsbGYzWYyMzOL3ULv378/77zzjmWGgszMTJKTky37Fi5caBlr+/vvv5OSklKl+Hr16sWXX35JZmYmqqqyfPlyevbsWam6jRo14vLly5Uqa02sQ4cOZcaMGYwYMaLYdicnJwwGAytXrgTg8OHDxMfH07FjR5o3b05+fj7Hjh0DYN26dZWKz8nJiZycHEtifPXqVQoKCmjZsiUAH330UaXaudGFCxfIzc2ld+/eLFy4EGdnZ3777bcqtyNEdZBEWAghBABNtLa1Wm/p0qW4urri6+tLmzZtaN++PevXr8dgMAAwaNAgmjRpgp+fH8OHDycwMNBSd/bs2ej1eoKCgtDpdHTp0sWSCP/rX//C1tYWvV6PVquld+/enD59ukqx9enTh5EjRxISEmIZVvDSSy9Vqu706dMJCwsr9rBcWayJtWHDhsyePZvGjRuX2Ld27VrWrFmDTqdj+PDhrF69mnvvvRc7Ozvee+89evXqRY8ePbC1rdzvrEmTJowYMQKtVkunTp1wcnJi3rx5BAUF0a1bNxo0aFCpdm506tQpevbsiV6vR6fT0adPH4KDg6vcjhDVQSlvnNbdRFEUdyAlJSUFd3f3ug1GCCFqQHJyMj4+PuWWObXFVKUp1Fy8bWnZR3OroWEymZg0aRKnTp3iu+++K3ZLXQghKuvmz7nU1FRat24N0FpV1dSby8sYYSHqQG72GU7/toGM340U5mdja98Al6YG7vcYSP0GrrUaS1bOGY6d2MD5P4zkF2Rjb9eA++4x8OADA2noWLuxAGTknuFA2gZOXjKSV5CNg10DWjU20M5tIC71azeeM1fPsuHs9xgvJ5JdmEMDW0cMzv4MbP4IrvVqdzxjem4GG9KNxF8+SXaBiQZ2xb7bTQAAIABJREFUGvTOrRjYwkCL+i7VdhzXcHvyMsyVWlSjfnMF13D7ajmuRqMpd7YEIYSoCdIjfI30CIvaUFCQw5HYNzl7chulP5Sk0LzVw3gFzsLOzrFGY8kvyCE6/k1ST5cdi/v9D9NBPwv7Go4FwFSQw/fJb5KYXnY8/i0e5hGfWWhqOJ6cwlzePPoe2y78iFpKLAoKD98bxizPqTja1uziATkFJhb9uoXt55PKuCrw0H1+PN+2D4525ffMVqZHGIqWWT6zI7/cnmEXb1tcw+2xteJBOSGEqCnSIyzEbaqgIIe4Xc9w5WJSOaVUzp7cSk7WKQK6L6mxZDi/IIcde5/hj4zyY0k9vZXM7FOEd1pSo8mwqSCH1b88w5kr5ceTmL6Vi9mnGNV+SY0lwzmFuTxz8HmSMg+XE4nK1gs7OHX1NEu0i2osGc4pMPFs/DoOZZ4pJxbYdj6JU7mX+EA/vMJkuDJsNQot+2ho1snMxcRCstPMmE0qNhqFBm42NPG3ReMsj5gIIe58d8wnmaIojyqKEqcoilFRlARFUf5eSpnmiqJ8e21/sqIoI+siViFKcyT2zQqS4D9duZjEkdg3ayyW6Pg3K0iC//RHRhLRCTUXC8D3yW9WkAT/6cyVJDYn11w8bx59r9wk+EZJmYd589h7NRbLol+3lJsE3+hQ5hneOrq1Wo+vcbaheWd72jzmgOeoerR5zIHmne0lCRZC/GXcEZ9mStHkjauBUaqqGoCRwEpFUW6O/x3gF1VVdUA34A1FUVrWbrRClJSbfebacIjKO3tyG7nZlUuCqiIr58y14RCVl5q2jayc6o8FisYEFw2HqLyD6dvIyK3+eM5cPcu2Cz9Wqc628z9y5urZao8lPTeD7ecr9+XAEsu5RNJzy5+loCrMl8zkb8sj7985XH0/h7x/55C/LQ/zJetWoBNCiNvNHZEIX2MGnK+9dgHSVVW9+dNYD2wFUFX1AmAEhtZahEKU4fRvG6j6QgUqZ377ttpjOXbCuliOnaj+WAAOpFkXz4G06o9nw9nvSx0TXH4kKt+e3Vz9saQbrbgq8G268ZaPreapmNZfJW9xDgW78jGfMKOeNWM+YaZgVz55i3Mwrb+KmifPmAgh7mx3RCKsFj3RNxT4VlGUE8AGYEwpRWOBYUqR1kAn4IGbCymK4qIoivuNP0DZa1oKcYsyfrcuObn0e1w1RwLn/7AulvN/VH8sACcvWRfPyUvVH4/xcqJV9eIuH6zmSCD+8kmr6hmtrHedmqeS92kuhcaCsr+fqFBoLCDv01yrk+GOHTtiMBjw9fXFzs4Og8GAwWBg3LhxREVF0b59e+tP4poePXoUW4SjOri7u5OYWLV/J3/88QedOnXCYDDw1ltvFduXkZHBokWLim2rjrijoqJwdHTEYDDg7+9P9+7dOXz4zyE/TzzxBD/99NMtHaOqJk+ebPk9azQavL29Le8LCwtRFIWsrCyr23/99dct7TVs2BAPDw/L+1OnTt1y/J9//rmlvSZNmuDm5mZ5v3///ltuX9SNO+JhOUVR7IB/AgNUVd2jKEpn4CtFUXxVVb3x/5rpwLsU9QSfBH4E8ktp8h/AqzUcthAWhfnZtVqvPPkF1rVpbb2K5FnZrrX1ypNdmFOr9cpts8BUq/Wuy/82DzWtckMf1DQz+d/moRla9Tl/rycOqamptG/fHqPxzy9EUVFRVW6vJhQWFlZ64YnyREZG0rhxY/bu3Vti3/VE+Pnnn7/l49zM19eXX375BYBZs2Yxbdo0tmzZAsDy5cur/XgV+fDDDy2v3d3diYiIwN/fv9raf/HFF3nxxReBoi8TM2bM4NFHH6229seNG8e4ceMAGDt2LO3bt+eZZ56ptvYrUlBQgJ3dHZG23VHuiB5hwAC4qqq6B+Daf7OBYvMAqap6QVXVkaqq6lVV7Qc0BJJLae9fQOubfrrWYPziLmdrX/XVl26lXnns7axr09p6FXGwsl1r65Wnga11M1FYW6/cNq2c/cHaelA0JrgwvqBKdQrjC2pkzHBBQQETJ05Ep9Oh1+stq8YBrFy5ko4dOxIYGEhYWBhHjhypUttbt24lICAAnU5HeHi4ZdnhqKgoDAYDzz77LMHBwWzZsoWffvoJrVZLhw4dmDJlCmVNOVpYWMiMGTPw9/fH39+fGTNmUFhYyM6dO5k5cyZ79uzBYDCU6IWdPHkyGRkZGAwGOnXqZNm+a9cuunTpgoeHB7Nnz7ZsT09PZ/DgwXTo0AGtVssbb7xRqXPu0aMHJ0+eLPb+eq/z2LFjmTRpEmFhYXh6ejJ69GjLeZ4+fZrw8HD8/Pzo378//fr1Y8mSJQAsW7YMHx8fDAYDOp2uWI+ztd5//32CgoLw8PDgP//5j2X7/v37CQ0NJTAwkMDAQL7//vtKtXfkyBH8/PyAon9Tzs7Oll759evXM3z4cACOHTtGeHg4Op2Odu3asXVr5R88PXfuHH/729/Q6XRotVpWrVoFwLZt23jkkUcAOH/+PIqi8PXXXwOwaNEiXnjhBUuMffr0ISgoCL1ez+eff25pW1EU3nrrLXr06MHcuXPZu3cv7dq1w2Aw4OfnxxdffFHpOEXp7pREOA1wUxTFC0BRFB+gOXD8xkKKotxzrfcYRVHCAC1QYkF1VVUzVFVNvfHn2jGEqBEuTQ1W1WvcNKCaI4H77rEulvvuqf5YAFo1ti6eVo2rPx6Ds3W9UwHO2mqOBPTOrayqZ7CyHkBhdL41w7UpjCntxtutSUpKYtKkSSQkJDB06FDmz58PwE8//cT69evZvXs3sbGxzJw5k8cff7zS7Z4/f55Ro0axdu1aEhISGD58OCNGjLDsP3jwIMOHD2ffvn306tWLYcOG8cEHHxAdHU2XLl2KJZM3WrZsGUajkQMHDnDgwAHi4uJYtmwZoaGhzJs3j549e2I0GunatXify4cffoiLiwtGo7FYj/HJkyfZvXs3cXFxLF++nKNHjwIwevRopkyZQnR0NLGxsWzZsoUffvih3HM2m818++23DBs2rMwyiYmJbN68maSkJGJjY4mMjARgypQphIaGkpSUxAcffMCuXbssdWbOnMn27dsxGo3ExMTQqlXRv71XXnmFjz/+uNyYyuLk5ERMTAyrV69mypQpQFGv+aRJk1i3bh2xsbFs2rSJiRMnVrh8NYCXlxdXrlwhPT2dmJgY/Pz82LFjBwA7duwgPDwcgBEjRjB8+HASEhJYs2YNI0eO5MKFC5WKecqUKfj7+5OQkMD27duZNWsWiYmJdO3alX379pGfn8+OHTsICQkpceyCggKGDx/Ou+++S0xMDD///DMLFy4s9qXCbDYTFRXFa6+9xptvvsm0adMwGo0kJibSp0+fKl1fUdIdkQirqnoWeAqIUBQlHvgSGKeq6kVFUTYrinJ9MFkHIFlRlMPAPKCfqqrVf89SiCq632MgRUsfVIWCq8fAao/lwQesi6WoXvVr52ZdPEX1qtfA5o+gVDEWBYWBzR+p/lhaGKy4KjDA1fovCObUyi+tXKxeinX1yuPl5UVAQNG5BAcHc/x4Ub/Hd999R3x8vGWM8ezZs6s0/nP//v3o9Xp8fX2BotvdRqORzMxMADw9PQkJCQGKeuocHR3p0aMHAEOHDsXZ2bnUdiMjIxk7diwajQaNRsO4ceMsyaQ1hgwZgo2NDc7Ozvj4+HD8+HGys7OJiopiypQpGAwGOnTowJkzZ4r1lt/o0KFDGAwGmjVrRlRUFJMnTy7zeAMHDqRevXpoNBratWtnud47d+60DAd44IEHLIkjQFhYGOPGjeODDz7g9OnTODoW3RmZN28ekyZNsuq8ryfrwcHBnDlzhqtXr7J3715SUlLo06cPBoOBPn36oCiKpSe/IqGhoezYsYPIyEgmTpzIqVOnMJlMREZGEhYWRmZmJkaj0XKevr6+GAwG9u3bV6n2r7cL0KJFCx555BF27tyJo6Mjfn5+7N+/n8jISF555RX27NmDyWTil19+oXPnzvz6668kJyczbNgwDAYDXbt2JS8vr9jvdMyYPx+JCg0NZcGCBcyfP5/o6GhcXKpvVcm71R0z2ERV1bXA2lK2973h9RbAszbjEqIy6jdwpXmrhzl7svK325q3epj6DVpUeywNHV1xv/9hUk9XPhZ3t4dp6Fj9sQC41HfFv8XDJKZXPh5ti4dxqV/98bjWa87D94ax9cKOStd5+L4wWtRrVu2xtKjvwkP3+bGtClOoPdzMnxb1Sk/UKkPNq9165alX789xx7a2thQUFA3ZUFWVxx9/nHnz5lnVrqqqFM3IWbqGDRsWK3sr7ZZ3nIqUdv5msxlFUYiJicHevuKlra+PETaZTAwbNoynnnqKr776qtLHq+g8vvnmG2JiYvjxxx8JDQ3l448/vuUeyutxXB+bXVBQgKqq6HQ6du/ebVWb4eHh7Nixg5SUFNasWcPu3bstQwpat27NlStXSq1Xld9fWb/768fet28fS5cupVmzZqxbtw69Xk+9evVQVZWmTZsWGyN/sxv/Tf7jH/+gX79+REZG8uyzz/LQQw9Z7pYI69wRPcJC/BV4Bc7CqYlfpco6NfHDK3BWjcXSQT+Le1wqF8s9Ln500NVcLACP+MzC1aly8bg6+dHXp+bimeU5Fb9G3pUq69fIm1kPTq2xWJ5v2wffRq6VKuvbyJWZnr1v6XiKQ+3Ws0a/fv1YtWoVaWlFo9kKCwuJjY2tdP2QkBCMRqPl1vPKlSsJCAigUaNGJcp6e3uTm5trScAiIiK4fPlyqe326tWLFStWkJ+fT35+PitXrqRnz54VxuPk5EROTk6xxLMsjRo1omvXrixcuNCy7dSpU5w9W/481hqNhqVLl7Jly5ZyE67S9OjRgxUrVliO9eOPRfNsFxQU8Ntvv9GhQwdmz57NQw89RFxczcws06lTJ44ePcrOnTst22JiYir9RSU8PJxt27Zx6dIl3Nzc6NmzJ6+++iphYWFA0e/AYDCwcuVKAA4fPmy561AZPXv2ZNmyZQCcPXuWzZs3Exoaajn2559/TsuWLdFoNISHhzNnzhxLz7qXlxeOjo6sXr3a0t7hw4fLTM5//fVX2rRpw8SJE5k6dSrR0dGVilGUTRJhIWqJnZ0jAd2X0LxVb8oeCqDQvFXvGl1eGcDezpHwTktwdys/Fne33jW+vDKAxs6RUe2XoG1RfjzaFr1rdHllAEfb+izRLqL3feFlDpNQUOh9X3iNLq8M4Gin4QP9cHo38y/nqkDvZv7Vsryyjbt1MyTYtL71mRUqq1u3brz++uv0798fvV6Pv78/335b9pzSY8eOxc3NzfKTnp7O6tWrGT58ODqdjjVr1rBmzZpS6zo4OPDFF18wefJkOnTowC+//GIZB3uzCRMmoNPpCAgIsDyI9+STT1Z4Pk2aNGHEiBFotdpiD8uVZe3atRw6dAitVotWq+Wxxx6r1FjZZs2aMWPGDObOnVth2Ru99957/PDDD+j1embMmEHnzp1xdnamsLCQsWPHotVq0ev1pKenW4YH3MoY4dI0btyYjRs3MnfuXPR6PT4+PsyZM6fSibCbmxuNGjWiS5cuQNGQjpMnT1oSYSi6rmvWrEGn0zF8+HBWr17NvffeW6n233//feLj49HpdPTq1YuFCxdaHtDr2LEjv//+uyXxDQ8P58SJE5Zj29nZ8d133/Hll1+i0+nw8/Pj6aefxmQqffaX999/Hz8/PwICAvjggw94/fXXKxWjKJtSlVs/f2XX5hJOSUlJwd3dvW6DEX95udlnOPPbt1z6PY7C/Gxs7RvQuGkArh4DqN+gcj2A1SUr5wzHTnzL+T/iyC/Ixt6uAffdE8CDDwygoWPtxgJFK80dSPuWk5fiyCvIxsGuAa0aB9DObQAu9Ws3njNXz/Lt2c3EXT5IdmEODWwdCXDWMqB5X1zrNa/VWNJzM/g23Yjx8kmyC0w0sNNgcG7FgBYGWtSv3DjB5ORkfHx8ytxvvmQmb3FO1R6YU8BhhiM2jaVf5a8oNzcXe3t77OzsSE9PJygoiB07duDl5VXXoQlRqps/51JTU2ndujVA62uTIxRzx4wRFuKvpH4DV9pon6rrMICiMcMGn9sjFigaMxzmeXvE41qvOU+5V35GgprUor4Lkzx61OgxbBrbYKu3K1pMo5Js9XaSBP+FHT161DKdWn5+Pq+++qokweIvRRJhIYQQFvYDHDD/bq7UohqKmw32A2pxgLCodTqdrsrjioW4k8jXeCGEEBaKg4LD+PrYGuzKG66NrcEOh/H1URysnxlBCCHqmvQICyGEKEZxUNAMrYe5l5nCmHzMKYWoeUWzQ9i0tsU2yF6GQwgh/hIkERZCCFE6pQBsL4EmG0U1g8YGbBuA0gS4tRkqhBDidiCJsBBCiGJUUyH5m85gPlhyWq7CkzkU/nwBG60L9o+6omhqb+o0IYSobnJvSwghhIVqKsS0KqXUJPhG5oMZmFaloJqqf3llIYSoLZIICyGEsMjfdAb1dG6lyqqnc8n//oz1x8rPZ86cOXh5eeHn54fBYGDw4MEcOnTI6jZLoygKWVlZAGzYsAEfHx8CAgI4cuRImXVSU1Np2rRpqW0IIf46ZGiEEEIIAMwZpgp7gkvUScjAHNoMG5eqjxkeN24cOTk57N+/HxcXF1RVJSIiguTkZHx9favcXmX8+9//Zt68eQwZMqRG2hdC3FmkR1gIIQQAhbEXa63e0aNH+e9//8unn36Ki0vRyniKojBkyBAGDRoEQFZWFuPGjcPf3x9/f3/efPNNS/1jx44RHh6OTqejXbt2bN261bLvm2++wdvbm06dOjF//nzL9mnTpvHTTz8xa9YsQkNDAdi/fz+hoaEEBgYSGBjI999/X2HsM2bMICgoCL1eb1kyF+D8+fP07NnTsvzxtGnTqnxdhBC1S3qEhRBCAGA+mV1r9eLi4vD09KRx48Zllnnttdcwm80cPHiQzMxMQkJC0Ol09OnThxEjRjBhwgTGjx/PoUOH6NatG8nJyaiqypNPPsnevXvx8vJi0aJFlvbeffdd4uLimDFjBo8++igZGRlMmjSJzZs306JFC8sSwomJieXGPnv2bBYvXgzA8uXLmTVrFl9++SVr167lgQceIDIyEoBLly5V+boIIWqX9AgLIYQoklfxanLVWu8Ghw4dwmAw0LZtW6ZOnQpAZGQkTz75JIqi4OTkxP/93/8RGRlJZmYmRqORcePGAeDr64vBYGDfvn3s27ePdu3aWZYBnjBhQpnH3Lt3LykpKfTp0weDwUCfPn1QFIVjx46VG+uWLVsIDg7G39+fxYsXW1ZeCw4OZvv27cycOZNNmzbRsGHDW74uQoiaJYmwEEKIIg5W/kmwol5AQABHjx4lI6NoTLKvry9Go5EpU6Zw+fJlAFRVRVGKr1ynKAqqqpbaZnn7SqOqqmUJ4es/p06don379mXWOXHiBNOmTeOLL74gMTGRzz77jKtXrwIQEhKC0WgkMDCQ1atXW4ZfCCFuX5IICyGEAMCmVYNaq+fp6cmAAQN48sknLYkvQHb2n8MsevXqxfLly1FVlczMTL788kt69uyJk5MTBoOBlStXAnD48GHi4+Pp2LEjISEhxMXFcfToUaBo6EJZOnXqxNGjR9m5c6dlW0xMTLnJ9JUrV9BoNDRv3hyz2czHH39s2ZeSkoKTkxPDhg3jnXfeITY2FrP51nvLhRA1RxJhIYQQANgGNrGqnp2V9VasWIG3tzdBQUH4+fnRpUsXYmNjmTJlCgAvv/wyqqqi1WoJCQlh1KhR9O7dG4C1a9eyZs0adDodw4cPZ/Xq1dx7773cd999LFu2jH79+tGpUyfs7Mp+FKZx48Zs3LiRuXPnotfr8fHxYc6cOeUmwlqtliFDhuDn50dYWBitW7e27IuKiiIgIMAyzOLjjz/Gxkb+zApxO1Oqchvpr0xRFHcgJSUlBXd397oNRgghakBycjI+Pj7lljF9c6pKU6jZ6FzQ/K3lrYYmhBDV4ubPudTU1OtfWFurqpp6c3n5qiqEEMLC/lFXlPvrV6qscn997B9xreGIhBCi5kgiLIQQwkLR2KIZ3RobnUu55Wx0LmhGt0bR2NZSZEIIUf1kHmEhhBDFKBpbNH9riTm0GYWxF4vmCc4zg4MNNq0aYBvYxKqV5IQQ4nYjibAQQohS2bhosAlvXtdhCCFEjZFEWAghRKnMGTkUxqVhPnUJ8grAwQ6blo2xDXDDxsWxrsMTQohbJomwEEKIYlRTAflbkjAnppfYV3jqEoV7f8PGvwX2ffxQNPJnRAhx55KH5YQQQliopgJMa2NKTYJvZE5Mx7Q2BtVUYNVxOnbsiMFgwNfXFzs7OwwGAwaDgXHjxhEVFVXu6m6V1aNHD+rVq8fFixct23bu3ImiKMyYMaPC+hs2bCA6OrrcMq+88gpfffXVLccqhKgb8lVeCCGERf6WJNQzlysuCKhnLpO/5RCaAboqH2f//v1A0Ryf7du3x2g0WvZFRUVVub2y+Pr68uWXX/L0008DRYt4BAYGVqruhg0baN++PR06dCh1f2FhIfPmzau2WIUQtU96hIUQQgBFY4Ir6gkuUSfxDOaMnGqPpaCggIkTJ6LT6dDr9SQnJ1v2rVy5ko4dOxIYGEhYWBhHjhwps52xY8eyatUqALKystizZ49ldTqAgwcP0rVrV9q1a4evry//+te/ANi2bRsbN25k4cKFGAwGVq1aRVRUFAaDgWeffZbg4GC2bNnC2LFjWbJkCQDjx4/nueeeA+DcuXO4u7sXS/CFELcfSYSFEEIAUBiXVqv1ypOUlMSkSZNISEhg6NChzJ8/H4CffvqJ9evXs3v3bmJjY5k5cyaPP/54me14eHjg4OBAcnIyX3/9NQMHDiy27LK7uzuRkZEcOHCA6Oholi1bRnJyMg8//DD9+/dn9uzZGI1GRo8eDRQlzsOHD2ffvn08+uijxY61ZMkSIiMj2bBhAyNHjuT555/HYDBU+7URQlQfGRohhBACoGh2iFqsVx4vLy8CAgIACA4O5rvvvgPgu+++Iz4+no4dOwKgqiqXLpV//DFjxrBy5Ur27dvHkiVLiIiIsOzLycnhqaeeIj4+HhsbG86cOUN8fHyZS1F7enoSEhJS6r769euzfv162rdvz8MPP2wZjiGEuH1Jj7AQQogiedY9+GZ1vXLUq1fP8trW1paCgqJjqKrK448/jtFoxGg0Eh8fz8mTJ8tta+jQoaxbt46cnBz8/f2L7XvhhRdo3rw5cXFxxMfH06FDB65evVpmWw0bNiz3WIcOHcLJyYmzZ89aYhZC3L4kERZCCFHEwcqbhNbWs0K/fv1YtWoVaWlFwzEKCwuJjY0tt07Dhg156623WLx4cYl9GRkZtGzZEjs7OxITE/npp58s+5ycnLh8uXIPDgKkpKTwj3/8g127dvHggw/y0ksvVbquEKJuSCIshBACAJuWjWu1njW6devG66+/Tv/+/dHr9fj7+/Ptt99WWO+xxx6jW7duJba/9NJLfPLJJwQFBTF//vxiZUaNGsW6dessD8uVx2Qy8dhjj7Fw4UI8PT356KOP2LhxI1u2bKn6SQohao2iqmpdx3BbUBTFHUhJSUnB3d29boMRQogakJycXObYVyiaNcL04e4qt+vwTHcU5/q3EpoQQlSLmz/nUlNTad26NUBrVVVTby4vPcJCCCEAsHFxxMa/RdXq+LtKEiyEuGNJIiyEEMLCvo8fiqtzpcoqrs7Y9/Gt4YiEEKLmSCIshBDCQtHYoRkRhI2/a7nlbPxd0YwIQtHILJxCiDuXfIIJIcRdRFVVFEUpt4yisUMzQIe5+4MUxqUVzROcVwAOdti0bIxtgBs2Lo61FLEQQlSONc+9SSIshBB3iXr16vHHH39wzz33VJgMw7Uxw6FtayEyIYS4Naqq8scffxSbg7wyJBEWQoi7hJubG2lpaVy4cKGuQxFCiGpXr1493NzcqlRHEmEhhLhL2NvbX59GSAghBPKwnBBCCCGEuEtJIiyEEEIIIe5KkggLIYQQQoi7kiTCQgghhBDiriSJsBBCCCGEuCtJIiyEEEIIIe5KkggLIYQQQoi7kiTCQgghhBDiriSJsBBCCCGEuCtJIiyEEEIIIe5KkggLIYQQQoi7kiTCQgghhBDiriSJsBBCCCGEuCtJIiyEEEIIIe5KkggLIYQQQoi7kl1dByCEEOLOkp6bybdnfiU+4xw5hfk42tqjd2nGANe2tKjfqJZjyWHj6RPEZ1wku6CABnZ26F2a0P/+B2hR37GWY7nKxrSzJFy6YolF19iJ/m7NaVG/Xu3GkmPiu7QMEi7lkF1gpoGdDbrGjvRzc6GFo6ZWYzmbY+a7kyYOXiwkO1+lgb2Ctokt/VppaO4o/XGibimqqtZ1DLcFRVHcgZSUlBTc3d3rNhghhLgN5RTk89aR//HDud8o7S+HAvRq5sFMrxAc7exrOJYCFh9O4Iezp8uOpfn9zPDW4WhXs30+OQWFLE4+RmT6hTJj6dniXmb4PIijnW0Nx2Lm7aR0ItOvlBOLE9P9WuBoV7NJaG6ByjsHr7LjdH6ZsYTfb89z2nrUt1NqNBZx90pNTaV169YArVVVTb15v/QICyGEqFBOQT5Tjds4dOX3MsuowPZzv5GWe4X3DA/XWDKcU1DA1AP/I/lKRvmxnD3NqZxs3msXUmPJcE5BIf/45SDJV7LKjeWH9AukZefyr/baGkuGcwrMTIs5QfLlqxXEcoW0HBPvBj1QY8lwboHKc/uyOZxhLjeWyNP5pGUX8k5wA0mGRZ2QexJCCCEq9NaR/5WbBN/o0JXfWXzkfzUWy+LDCeUmwTdKvpLB24cTai6W5GPlJsHFY8ni7eRjNRbL20np5SbBxWK5fJV3DqXXWCzvHLxabhJ8o8MZZt49WLm4hahud0wirCjKo4qixCmKYlQUJUFRlL+XUuY+RVG+v7aaizDBAAAgAElEQVT/sKIoHymKIr3eQghxC9JzM/nh3G9VqrP93G+k52bWQCw5/HD2dNViOXua9NycGojlKpHpF6pU54f0C6TnVn/Sl55jIjL9StViOXOF9BxTtcdyNsfMjtP5VaoTeTqfszmVS5yFqE53RCKsKIoCrAZGqapqAEYCKxVFuTn+F4BkVVV1gBYIBEokzEIIISrv2zO/ljrGszwqsPHM0WqPZePpE9bFcvpE9ceSdtaqWL5LO1vtsXyXlmFVLJvSKtezXqVYTpqsi+Vk9SflQlTkTuotNQPO1167AOmqqt789VEFGl1LkB0ADVCi60BRFJdrbdzIrXrDFUKIv4b4jHNW1TNmVH/CF59xsVbrlSfhUtV6YK+Lt7JeeRIuWdfjHW9lvfIc/H/2zjvMrqpq4789LSQhySQQSC9A6ITQOwTpvRdBeu+9K0iV9lGkSEeqVKkKIlXkU0SaggqKQYyADYMa+NJmf3+863D3XCYhGe4+d5JZ7/Pc5556z7r77LL6+mhGp+77VSfvczi+DOYKRjjGGEMIOwMPhRAmA32ALTq49GzgfuADoDdwZYzxhQ6uOxo4Ixe9DofDMS/hkxlzZub+svfNCpOnTy/1vhy/mYeWzrkVdPa+Wf7mtM5lo+rsfQ7Hl8Hc4hrRBJwCbBNjHAlsBdwdQpi/6tKdgF8Bg4GhwLohhB07+MnLgNFVn3Uyke9wOBxzNXo1di77Q2fvmxV6dzL7Q2fvy/GbeWjp3HLe2ftm+ZvNncv+0Nn7HI4vg7mCEQbGAUMK7a59TwaWqrruCOCOGGNbjPFj4CFg/eofizFOijG+m36AiVn/gcPhcMylWL514U7dN651UI0pgeVbB5R636wwtn/fTt23fCfvmxXG9u9c8ZDlO3nfrLDcgM6lhxvbyfscji+DuYURnggMCyEsARBCWAoYBLxTdd0EYFO7pgXYEHijRDodDodjnsM2QxZnTnV1we6rNbYeOrJztAwdWXtahg3qFC1bD6u9gLDVsNZO0bLV8P61p2VES6do2XJEuRXvHA6YSxjhGOOHwCHAfSGE14G7gH1ijB+FEH4YQljZLj0aWCeE8GvgNeBt4Pq6EO1wOBzzCAb37MNGCy8yR/dsvPAiDOpZ7b1WC1p6sdGgoXNGy6ChDMpQbnlwz/nYcPDAObpno8EDGZSh3PLgXi1sOHjONM0bDenLoJ61d18Z1KuBDYbO2e9uOLTZyy076oK5IlgOIMZ4B3BHB8c3T7bfATYqky6Hw+HoDjhhiTWY+Om/Z6uoxtJ9F+T4JdbIRsvxS47lz59Mnq2iGkv1beW4Jcfmo2WpxZg4+dPZKqqxVN/5OW6pxbLRctwyg5n4ydTZKqqxVL/5OHbpwdloOXa5+Zg4ecZsFdVYsrWBY5arvXDgcMwOXPxyOBwOxxeiV1Mzl4/bhE0WXmSmZu8AbLLwIlnLK4uWJi5fcQ02GTR01rQMGpq1vLJoaeSylZdj48EDZ0nLxoMHZi2vLFoauHSVkWw8pO+saRnSN2t5ZYCeTYFLVu/NRkObZ0nLRkObvbyyo64IMXq6EoAQwihgwoQJExg1alR9iXE4HI4ujA8+/Q8Pv/97Xpv0IZ/MmEavxmbGtQ5i6yFjGNyzT8m0fMLDf/kTr0/6iMnTp9O7qYnlWwew9dCRDM7gDjFrWv6PRyZ+yOv/+neFlv592WrYIAZncIeYJS2fTOXRiZN4/V+fMHl6G72bGli+fy+2HNbK4F7l+uJ++Ekbj743lV99NIPJ0yK9mwNjBzSy5YgWd4dwZMe7777L6NGjAUZbcoR2cEbY4Iyww+FwOBwOx7yFL2KEXRRzOBwOh8PhcHRLOCPscDgcDofD4eiWcEbY4XA4HA6Hw9Et4Yyww+FwOBwOh6Nbwhlhh8PhcDgcDke3hDPCDofD4XA4HI5uCWeEHQ6Hw+FwOBzdEs4IOxwOh8PhcDi6JZwRdjgcDofD4XB0Szgj7HA4HA6Hw+HolnBG2OFwOBwOh8PRLeGMsMPhcDgcDoejW8IZYYfD4XA4HA5Ht4Qzwg6Hw+FwOByObglnhB0Oh8PhcDgc3RLOCDscDofD4XA4uiWcEXY4HA6Hw+FwdEs4I+xwOBwOh8Ph6JZwRtjhcDgcDofD0S3hjLDD4XA4HA6Ho1vCGWGHw+FwOBwOR7eEM8IOh8PhcDgcjm4JZ4QdDofD4XA4HN0Szgg7HA6Hw+FwOLolnBF2OBwOh8PhcHRLOCPscDgcDofD4eiWcEbY4XA4HA6Hw9Et4Yyww+FwOBwOh6Nbwhlhh8PhcDgcDke3hDPCDofD4XA4HI5uCWeEHQ6Hw+FwOBzdEs4IOxwOh8PhcDi6JZwRdjgcDofD4XB0Szgj7HA4HA6Hw+HolnBG2OFwOBwOh8PRLeGMsMPhcDgcDoejW8IZYYfD4XA4HA5Ht4Qzwg6Hw+FwOByObglnhB0Oh8PhcDgc3RLOCDscDofD4XA4uiWcEXY4HA6Hw+FwdEs4I+xwOBwOh8Ph6JZwRtjhcDgcDofD0S3hjLDD4XA4HA6Ho1vCGWGHw+FwOBwOR7eEM8IOh8PhcDgcjm4JZ4QdDofD4XA4HN0Szgg7HA6Hw+FwOLolnBF2OBwOh8PhcHRLOCPscDgcDofD4eiWcEbY4XA4HA6Hw9Et4Yyww+FwOBwOh6NboqneBDjmbbRNmsqMlz+i7b3JMKUNejTQMKI3jSsNoKG1pd7kORwOxzyJtn+1MeMX02h7dwZxCoQe0DCqkcZVm2no3311YJMmt/HaOzP489/bmDot0tIcGD6wgXGLNtLau9x2+eQ/bbz71gz++WEb06dFmpoDCwxqYNQSjfTqU/47mvpxGx/9egaT/9JG29RIQ0ug99AGBizXSEu/culpm/QJM16dSNuf/wVTpkOPJhqG96dxhWE0tPaq6bNCjLGmPzi3IoQwCpgwYcIERo0aVV9i5gHEqTOY9uj7tP160kyvaViuleYthxBaGkukzOFwOOZdxCmRaQ9NYcbr06Gj5T1A4/JNNG/Tg9AjlE5fvTB1WuTxl6fx5p9mzPSaZUY2sulKzbQ0522X6dMir78wjYnvzJyWYYs2svxazTRlpgVgxtTI+09NY9LvZk5P65KNDNmgmcaWvPTEqdOZ9tibtL3xwUyvaVh2MM2bLUNomT1d7rvvvsvo0aMBRscY3/3c73WSVodjpohTZzD11gmzZIIB2n49iam3TiBOnfngczgcDsfsIU6JTLnxU2a8NhMmGCDCjNemM+XGT4lTuocibOq0yJ3PTpklEwzw5p9mcOezU5g6LV+7TJ8WeeGxKbNkggEmvjODFx6bwvSMtICY4An3T5klEwww6XczmHD/FGZMzUdPnDqdqXe8NEsmGKDtjQ+YesdLxKnTa/JcZ4QdNce0R98n/uXT2bo2/uVTpv3g/cwUORwOx7yPaQ9NIU5sm61r48Q2pj00JTNFXQOPvzyNDz6aPQbug4+kOc6F11+YxqS/zx4tk/4uzXFOvP/UND79cPbo+fRDaY5zYdpjbxLf/3i2ro3vf8y0x35Tk+fONYxwCGHLEMKrIYTXQgi/CiFs38E1t9r54tMWQti6HvR2V7RNmvqFmuDP3fOrSbRNmpqJIofD4Zj30favNrlDzAFmvD6dtn/NHuM8t2LS5LYv1ARX480/zWDS5Nq3yyf/aftCTXA1Jr4zg0/+k+cdTf247Qs1wdWY9LsZTP249vS0TfrkCzXBn7vnjfdpm/TJl372XMEIhxACcBuwR4xxHPA14JYQQjv6Y4x7xhjH2TV7Af8CflQ6wd0YM17+qNT7HA6HwwEzfjFt5u4QM0OEGS/l1TjWG6/NIeNZ4PVO3jcrvPtW536zs/d9ET76ded+96M3ak/PjFcnlnpfirkpa0Qb0M+2W4EPYoyzEkv2A+6IMX7O9hNCaLXfSDGsJlR2c7S9N7nU+xwOh8MBbe92jjlpmzBvx2j8+e+d016+18n7ZoV/fti53+zsfV+EyX/p3O9Onk33mzlB25//Vep9KeYKRjjGGEMIOwMPhRAmA32ALWZ2fQihBdgN2HAmlxwNnFFzQh1KkVbmfQ6Hw+Hg8yqfvPfNLehs4FuOgLnOBr7lCphr62TgW2fvmyWmdDLwrbP3JZhbXCOagFOAbWKMI4GtgLtDCPPP5JZtgfdijK/N5PxlwOiqzzq1pbqbokcnu1Rn73M4HA4HoUe5980t6GwqtBwp1DqbCi1XCrWGTqZC6+x9s0SPTuplO3tfgrmF+xgHDIkxvgBg35OBpWZy/b7ATTP7sRjjpBjju+kH+PKOJg4aRvQu9T6Hw+FwqFhGp+4bPW/ncR8+sHNszohO3jcrLDCoc7/Z2fu+CL2Hdu53ew+rPT0Nw/uXel+73/jSv1AOJgLDQghLAIQQlgIGAe9UXxhCGIa0u3eWSqEDgMaVBnTqvqZO3udwOBwOaFy1GeZUURegcZXmLPR0FYxbtHOMfmfvmxVGLdG53+zsfV+EAct17nc7e9+s0LhC58K0mlYc/qWfPVcwwjHGD4FDgPtCCK8DdwH7xBg/CiH8MISwcnL5XsAjMUZPQ1AHNLS20LBcdRziF9wztpXg5ZYdDoej02jo30Dj8nNmJm5cvmmeL7fc2ruBZUbOGeO2zMhG+mUot9yrTwPD5pDBHrZovnLLLf0aaF1yzuhpXbKRlr4ZNMKtvWhYdvCc3bPsEEK/nl/62XNFsBxAjPEO4I4Ojm9etX9uaUQ5OkTzlkOY+tGU2SqqEYb2pHmLISVQ5XA4HPM2mrfpQds/2marqEYY1kDzNvO4g7Bh05Wa+eg/bbNVVGPwgMCmK+XTki+/VjP//XfbbBXVaB0YWH6tvBr7IRs0M2VS22wV1eg5KDBkg3z0NG+2DFM/+mS2imqEIf1o3mzpmjx33hYFHXVBaGmkZc/RNIydtWa4YWwrLXuOJrTM2z5qDofDUQZCj0CP/XrSOK5p5m4SARrHNdFjv56EHnmCsLoaWpoDu43v8YWa4WVGNrLb+B5ZAuUKNDUH1tqsxxdqhoct2sham/XIFihXoLElMHqHHl+oGW5dspHRO/SgMUegnCG0NNGy+yo0LDtr5VjDskNo2X0VQkttdLkhxu5Ra/yLEEIYBUyYMGECo0aNqi8x8xDaJk1lxssfKU/wlDbo0UDDiN40rjSABneHcDgcjixo+1cbM16aRtuEGcQpyg7RMLqRxlWa53l3iFlh0uQ2Xn9nBu/9vY2p0yItzYERAxtYftFGWjO4Q8wKn/ynjXffmsE/P2xj+rRIU3NggUENjFoinzvErDD14zY+emMGkye20TY10tAS6D2sgQHLNtLSr1x62iZ9woxXJypP8JTp0KOJhuH9aVxhGA2tvebot959911Gjx4NMNqSI7SDM8IGZ4QdDofD4XA45i18ESPcfcVCh8PhcDgcDke3hjPCDofD4XA4HI5uCWeEHQ6Hw+FwOBzdEs4IOxwOh8PhcDi6JZwRdjgcDofD4XB0Szgj7HA4HA6Hw+HolnBG2OFwOBwOh8PRLeGMsMPhcDgcDoejW8IZYYfD4XA4HA5Ht4Qzwg6Hw+FwOByObglnhB0Oh8PhcDgc3RJN9SagC6ERYOLEifWmw+FwOBwOh8NRAyR8XWNH50OMsTxqujBCCGsDz9ebDofD4XA4HA5HzbFOjPGn1QedETaEEHoAqwAfADO+xE8NQwz1OkC91ctOi9Myt9ICXYsep8VpcVqclu5AC3QtempBSyMwGHgpxjil+qS7RhiscT4nKcwpQgjF5sQY47tf9ve+DJyWjuG0dIyuRAt0LXqclo7htHQMp6VjOC0doyvRAl2LnhrS8s7MTniwnMPhcDgcDoejW8IZYYfD4XA4HA5Ht4Qzwg6Hw+FwOByObglnhGuPScCZ9l1vOC0dw2npGF2JFuha9DgtHcNp6RhOS8dwWjpGV6IFuhY92WnxrBEOh8PhcDgcjm4J1wg7HA6Hw+FwOLolnBF2OBwOh8PhcHRLOCPscHQjhCQpo6Prwgr8OLowQgh96k2Dw9FZhBCc/zN4Q8whQgiNVft1YSy6UieubhNHBdXvqZ6MaAihMVpQQAihf73oKGip5/NTdDXhIISwKvBwCGHhLkBLS71pKNDF+szSwIUhhA27AC1dZi2ArjOeugod0LVoKRBjbAsh9Kv3uOoKPFWXGkBdHSGEEGOcEUIYHELYLIQwOtYh2tAYmjbbXjiEsEDZNFTRMsO2dwkhrBVCGGv7delfxUDqCpOPTTYjrF161qO/wOfe0zXATiGEnnWipSGhZXAIYf560GHPT4WDvvWiI0WM8RdAb+C0OrfNKsDStr1vCGHxOtLSYHNvcwhh/RDC8DprZP8KzAdsEEJYoV5EVK0FC9a5vwSAGGMMIQzrKuO63rC+W8wxm4QQ9qo3TQkeBE6t18MTnmpICOEIUP8pmw5nhOcANsBXAn4BHAK8FkJYrQ50FEzE5cCtwIshhINCCIPrQUsIoSGE8H1gf+AA4PshhHWNCSytj1VNxGsD3wgh7BRCWKQsGlI6bHtD4OfAOcDLIYQhJdPSAp+9pz4hhB8BbcD1McZPyxYWbFFos0X7Z6j/Xm8attKRjKXzgTtCCMeEEHrXg5Yqzci1wE7ACfWgxbAgcEkI4Tlg6xjj2/UgwhbLthDCYsALqE1uBs4LIfQrmZYGgBjjP4HfAKsAu4cQhpVJR4Gk/94NXAg8H0JYpx5avoTZ2w54BlimHsqQRGhqCSHcEkL4RgihbsxeIqicDJwL/LEedMxkrr8SWCiE0LMeiiNbq9cDHgXq5g7mjPAcIISwKbA1sH+McWvgcuCqEMKYOtByGTAsxrgJWhi2BDazc9k7dNUz9gf+EWPcCNgXuAi4PYSwQDEJlIFkIv4aGuC/Bc4HjipT25fQsTGwEbBdjHF9o+eqUJJbgmnwjkg0vxsAE4DjgSVDCMcAZ4QSTfDG0CwBfB24BTgGeA+4sqx2gfZMZwjhQGBJ1GcOAA4OISxYFi0FEqHyAWAF4HbgxBDCAWXREEKYL9l9ApgKjEDvq1SEEEbCZ4tlP8ToXRVj3Bw4D4jAiWXSlDA1twCLA68AWwA7hxAGlkmL0dEzhPAY8EaMcV9gMDC+YJBLoiEV/PcEzgB2jTG+CDSGkt1rCisc8BQSVt4BDg8hnFcmHVVzzNbA9jHGlYGfhhCWCiF8xc6VsV6nWumNEtr+CYwDptfJur0kcCmwd4zx4hBCawhh3bLpcEZ4Fqga4AH4FrAbMosRYzwd+BVaxAeVTF4TcInR8QBwH3BKyGx+r9K6rmETzjCgmOyageuAl4E1ctFRRdPgZHthJBRsCvwN+BS4Jcb47xBCc2Y60v6yEHAnsBbwJzu8IzAAOLeK4ciFZuAuoH+QGXk6MBp4HtgPGIsW8+1LoAWAEEIrGkcbxhiviTG+AVyFFqvvlERD6uK0G3JDODTG+CPEmG8NbBrqY3rfFCDGeGyM8QRgZ+D8EMIGOR8ahF5IcBoX5N50B3AS8CRiJJZLrs+qvQkhrAXskozZT4FewLu2/wKaY0aFElx8irFt7bQusEiM8YAY44ko2f9XUJ8pY1yn6IMsTpeEEH4A3BFjPLssq0bKYBmWR1rP6SGEg4CngdNDCIvmpiPZbkIC7WXANch6eyewXQhh/5x0JDQUc0yrPfNfwO9DCJcCFwD/AzwZQtgmNwMa2rvPrI8UV0+FEMajteBPqI2yowNLxX8QP7VDCOFMtAY8a0qa0uCM8EwQ2vsOFoN9azQhf8UGGyaFLwRkCZqoGuDpJLsksGuxE2O8BXgLaM1BR/Kcok2+gsy3w5Hk3SPIHWKKXdME/DsnLUbHUcATCTPc0557AlqgtosxvhIUgJRtMi76iy2ULTHGvwHbAkOBFW1ijMDuiPHM5lITQtjNNDNvAdOQ5eKAGOOjyEXjpBjj8THGfZCbRL6KPZ+f+D4Grgb6hRCKyffPaNEaFsxPLCfsPa2MGLz9gFOAbey9/YiKpnqtnNqa0LHZeDTQ3843xxgfQYvV90IIS+WiBRgYY/wEeBu5ft0JXB5jfB1pXYcCuwb5fp4M5NbavAlcDKxrTPE04ANgkRBC/xjjFKSNnR/I/o4St7jjkNb1fTvfFGO8CwmZJyHtcFZaqtCIGJvfArfFGI+z45eHELbKSEtzuh1CuDLIPeQPwLfRPNOGBPGRSHufi5aGhNEbHWOcjhjNZ4F7gZtjjMej+fDaEMI6uWgpYP1lAFojW1F/eQUJ3d83q8Y3kCCTDaHiJtI3yH1m3RjjLsjasyvwU2AGlTknm0tNaB+nsp4J1p+gPrI28DpwIFo3F5tJf8+DGKN/qj7wWcW9QcgXrdBggRaACUi712DHemSioyHZPhAtTifZ/qLAf9HEPNRofBrolYmW9YDetr058DhiMgtazkIL9uFIk3Qv0FLS+3oEmZF72v6LwDvJ+dXRQrF55v6yGHAPYvT2Tt7bb5Cpu7huocztcS7yvd3I9ve3/d2SaxZFgRI3Z6Qj7b8nAnsCG9v+bsAvgU1svwVYtKT+sipwP7B60l7fKWixY0cCg0tqm6WBpW27P2JED0vOn4AsPoMy0bId8E3EUK4NTAT+WHXNcsADyPfzSaA5Ey3FGGkCNgZuQIJcK1ogH0FMzqZoET+tpD6zJHAjsnItBHyITN3F+VORZSPL2K7qL0egeX9LFLB3orXFYBtHNwKPAX1yvB+0Lr4HjLZjSwF3V7VVk22vCrwKLJOpXRqT7b2QFXB92x8DvJycvxQ4OFffraJrOeBu4NqZnD8cCXtLlkTL/yKt9P8U79G+jwF+gLSyA0qgZSHgJzam/2DjpmdyfnUkMOyRm5Z2dJX5sLnpg4IgfmGD6yykyVrbzu0N/IPKQlp0qoZMtOwL/AxJcH8ATreFYh2bAO9HUlUuhnx9YM9kf2tkjrulmFSAhYEdrK2+nvndfLZY2ndvm2wvtv0l7X1dhdxHfoWCfXLStIa9o42sDf4ArGTnLkKM+PBc/QUxCt9AQlGLPfM65P/VjPyCvwtsZtdfmvs92XP6Aj9GjNxZyBS2o507Bvg1sGxmGgqBNSDXlEsRs7elHR+AtFhXIP/KrG1SRdu3kOD2BmJgNkDWpYlII/ojZN5tyvDsYuz2te8Dk3O3Ac9WXd8ELJexLYpx0Q94CDF66yOt2un2/jZE/sF3ICtHu3tz0ITcHtqAM5PjOyKT8iXAD5GSoncJ/eVaxGDthqyTOwBLIHP720hB8Z3k+lxr0q3A761PbA7casdb7LsX8ul+GVgrc5sEa//z0Rz8B2CMnfsJEtxeAs5P7mmsMQ2NVft9kKLhBRJmF62TX0dKoyyCdjoWkOLuz/aONgWO7eCa/vY+181FC/I+mN/Gyq527C3gaNvuiwTd35F5re6QzrIfODd80MJ4IZJOlkbM5iOYac6uOaHYrvGz5wcWT/bPtkm/0BitiUw+B9t+E7aQZaBlcNUgPg3Y1rZ3RYzw/iW/m1Qz0kplEV/GJsAjbH8ccBDSliyVgY4tgbHJ/hHAeHvuS8BX7fh89v1tZH7O1S4LIeHkLLQILYy0af+DTJP9kdbve9anc1kOQtX+LsAVyf5WiBkeYXRekGMCTp7XWL2NhIVrkDtGsWCOAb4PbFNiXz4Y+LFtD0EL+UVIsFsZ2AdbuDI8eyxalO4GjgJWRALL1XZ+fsRU3AKsZH1r4RLaZEW0KKdM7o5IiDuMysLaKzlfU2aPDpgkpA3/fdWx9Y22E0vqLxsA59n2eUhYSOfDocCIWf2PL/n8hqrnPWNjZluk2VsY6GfnWm2+GVpCu5wI3JPs34bW7AHAQBtnOyXnayo0Vc0xuyHms3j2k0gJMbB4NqYgKaFdxqNMDCva/knAJcn5ZZLtXwBbZKSlELovQkqjF6kwwf1RhprFgVFltM3n6KvHQ7vaZyYT3xBgEaSm39SO/RGZM+ZLrqv1JHwoiUSEGJvfAl/FNL4ordIvUSBNNjMP0lDdhUz+TUgbcS1aGJuAo+2anUt6T6kUexbwsE144+3YFogZzq397Yn8or+NmfOR9vlx5J6ygR0bDhw3s/9QI1q2L9ofMeHPAkfZ/nJIU/J1tDCNQQvoqEztki6SBcNyBvCYbRfaou8BX0uP5ewvyJT7PSRQXmzvZWkkKJwJLGjXDSmjHyf0HUqilUfC3Nvk16BtjTR1uwEnWx85AvmtP4MxdtZuLyCt2na5+4ztb4a0r6ek7xG59zxExZqQSwNcWA/62djaMTn3Bqb5LLGPpHPenjbfPkh7re+uVFkDq9u1BnSkzF4qhPzW3tfdKAXWL62/HJW7PZJjV5EII9Zf/grc8EX9rYZ09bD//12bax6xOXc9tFYcALSW2G/6I+3qasmxizCrj42lE6yt1rF3Nl8mWrYAvmHbv0IuGikT/ghwUFlt0yGN9Xx4V/sgyW03YAHbXxf4rm0PtY70rUzPTpmIBW1xmt/2r0S+yqkG8hgyS5ZIy/gQ0tr1BhZAjPClSEjohzSOF5D4+ZTwnq6z9mlBjPAHwKp27mjg7ySakRo/u2DmFkUatFNsf01bEAq/3IFG2/k56LBnLIuYuoGYmQ1pXH9Cxfy0gS1SJyPhpeYm9g767ynA6bY9Bmked0/OP4q5aJTQV4Yjt5kjkebqUuQv1wuZ2e/DhBUymteT7T7J9pHAC1XX3o75OGaiZWUU45AymtdhmiK0aP086T+9gf4l9JneVHz8j0aL5bDkfF+kACjDv3NZJChciZQfN6D5vxW5xJ2V+fnrpOODikA3GvgLCYOHrHS/IJP/eNXzW2wuuQ440o4NTNsEWXqWKKG/zE/F2rYLEiBHJecvQMzwfpnfVUABi1dSUUD8BLgwuWZv5AoxLBMN/alSKNix2zB3Tjt2IFJsPUvi5pO5fRoQX3WV7W+GMr/sheIRHgeuK4OWWdJZbwLq+ufbD/AfI0n7JeT3tTTShLahCHTPzrMAACAASURBVNi3MS1Wem+tOkuyXTC/v8KkfqSBvNfoyjLJJM8/EjG5hZZsOaQlOt4G/ZI2wL5pk+DCZPJNtucvhDRVvWx/SSyQCGkCrkea2T9iZjgssDEjTSNQcNUDKJr9UDt+nA3yO5Al4fCMNKwIfISC8JZGi9Hydu4wZJIrgkYOAI7P2SYJXTcjxncJ2++DTPxvIUHyCeDGMmix52+CorSL/d6I2Sz60FcpwXybPOsB4CYqwZTPoQDLLZCP9+vkDdIbjty+LqFiMj2Dism9N4pJeI9MAU72nFTDeD8SuH+Z9OFLbQx1ZK2rtbbzQCqa5gYkZBdm20HIVeMc218bMaP9yCA4obXoBqRwSLV5hVvPPigDwdnWb35ERper5Pn9kDXlWuSXPB3Yx86ti9bJrTI+PxUmz0cM+XOY654d+z3yhX0QKYoOB87NQEtDBzQdh5RozwJnJ8dXsO/hmdplQaSVXwJZsTdN6DsDeDK59kx7T9smx8pQjCyJ/JSLttgWBXPeTknr0hfSW28C6vKn23fghW2yK7RCS6CF6hybFFdDZsPtOrq/xrScRUWyHoSyDXzd9kchzdZutXp2B7QcbAPll0jLsKUNtJVtgBd+r+sjwWGjzO9pfeSK8gzSIhYagF62INxj+0NQ4MgjJfSXvtY+RdDBYch8vI3tj0OBlisk99TcHGf99koqDN3V9o4Wtv1zbLLJ7o9GRaAcDzxs2yOQpmZPpE1bAdgDWzwz0dER07QK0tCk7+NCTKNV1gdpQF5FcQcnI2HpRMT4XIEEq9swH8vMtCyP/KMvREzXU8DI5Hx/MmVYqaKjP2JYLqHCaP0vFiNhdD2XmYYzkS90Ibg1I0ZqjeSaNUisTOQLSi7G0Ugk4J+PxTcgJUTB4Gxl4+qo5N6a+gOnNKG152+YsGTHt0ZKgLVsf19gvRL6zC1IMJkPrQ2/pZK94htI2D7V9h/ABJpMtBTKomBj92PaZ5650ejJ8m7sGWOAX9j2iUigfBqtQyvZmCoURP1Igl3JwMcgnmkQ0vTuVMwryCXvUNoHLme37sw2/fUmoPQ/3J6p2Rb5lP4SMRF97PhXkJ/PGVQtTLXsPFW/eyNKY9I/ObYGknL3sv3FMrfNAGQqvsI67neQpnVv5I/7ALZAYsF7GWk5CJmTCleD3wLrJOfPw9wOkKByEhmyD9Besl0RWQnuxTT3dvwyZG4eT5WEXePJZkkSRhKZkJ9K9n9otBXaozvIFIhmE1kx+RXfSyOB5EEUjHYHygqR1TzZwXs6ETHdGyHfvRuRu8Zydv5pMgd58vko8qupaNDmQy4rD9qikcVvser51f1yfWQm/Q2VQJ5S0h0Wz0IC7lskKceQlqgQpgaQmHYz0HAn0qgW/bdgdK8Dnk+u64W01tl9PBNaVjH6TqF9ANxKyGrXnBzLmgHBjj2EtHrpODsJKU5yBgEX7dETuZ8VQeLXofXpXmTF7Z3cM8T61kU1pmV7zP0CMbgvIIXDQjaO/4biMXY1uu6uHnc1pGXlpJ88adtFFqVvISvp68h6sGHVvQ1ksmgnx45EfMSbSAlyAXBNrn7ypf9DvQmo2x9X7sy7bGLZF0l0hyfn90f5RbOZ/ZNnDaN9HsZmKpLTHsjXKYt/UfLMgnkaa5PIAcisvZ5Nxi/bpPdrMmWpSGhZ3p5V5Jjti1xT7kBa82VtApiEtJ4/J7MmDWlg7kWazndJnPsRg/ouMsXlEpR6IGGtzRagInDyNSpm7V4oGvf69J1moCUVJjdCQskOtiCsY32n8Fm+CAuUKKHvdpSqbVOkHbnS+vD/Up5/XF8qloILjaYiy0l/ZNrNljvZxvIPk/12CyDS6l2PLEFZmWA6Xiw3AiZjliY7tjhiILJqi5Ag8AoVX+gdkAa6yAr0GhIsD0Ua4yx+wdXzBe0ZzS2tLQ5O9v9BSVYVNA8vkuz/BlWuS68/roR3tQzSAi+BGOIjgTuTc23FnGfHxpOY/2tEw1gkNB2PNPW32Vz3QxvbfRHDdxFy2cuWmhL52T5k3ztgllDaC0e9kLXlJ0gIz5r327aPtrY5ncqcfAZSRHzf3lMpGTPm+H/Um4C6/GmZJ1/Cgg4Qk3GovbC9Mj+7o6jXtVCC9gWqji9r34vnpKmaNptwn0NV0AqGfBBKFbR8SbRchSTaNYyW8xBTfn0xGdskmC31VhUtl2LCCPI7/T9k7l4NabEOKIGOIm/0D1G6os3s2GNUNARLIbNUn476Wo3pOcjG0R7I7H9V0l96IZP382RKu4WEoUIgaEBZVNJUbVsjc2VhGlyUjD721e2N/En/jTRU29pisKPRur4tUqMy0tPXxlCaYaCdJh8J/A+SpJfKQEfKXG2PGKyRtn8IElg2N3q/h8zfWfuuPfu4Yj5BAuSKybmeNsa+CeySu7/YPPc5X3V7P99FrmETSKxiueixfnEXEiifpOJq0BdpPc/J/W4SmsYjzWLq13oVlcC0o5GiJlthiqRddrB2eZiK9WA167OnUAmyzz3vDkYM5gX27GuQb/8gKu6DxTy8HVXCSyaarkWKolWBf9I+WHBZlKLx3rL6zRzTX28CSvmTn0/R0w/56b1STCzIDHc6ksDHJNfmCoobixbIQnK6lcSUYxPw7ZSU77WD8wcjCXhjys0IkbbRw1QFYSCh4X8poQpOQY8tCB/RPuL/q8hc+jTtU/fU2kx5OtIeNtnnGLQ4bmd95k7kmvE1qlwVMrfLooiB6ANsg7SthT9jX8Rk3JeTFqQV+XmyfxYdp2ort0qRhJNCaDqbSuDViYgZfhL54K+W6fkp41loEQtf8mp3lr4oyCf7GEexFz9CWrOnMZcI5Mc4HQmb2Xw6EzoKJqHB5tnXaF8lrjQXEXvepkhgXDo5ljLJZ6AUU0WfqrVpu2+6bePqJMRcPWdz8EF2fhXbH1Or51fRsiYVwbWHzW9/pb0r2p7Wpx9HVrKi4mmtgyiHUgk4XhnFZexlY/eQZI7Z0mg5CFlza50iM1RvI4XHxShwsw2tlX9GKf5+aHNMQEq/NxCTnMtauRxwmW1fbHPc/GRyC8nyH+pNQGl/VObra9ACvRpKeXIWirxdzK5ZFBhXAi2nIE3adVhEu3XYHyMt0b3IXzgLs8dMmDVrk3TQfQu5SZRS+rYj+pBv8OXJflFadViGCaddsY5ku9kmv9urr6c9c5wjivw3iKHc2/b3pZKabAGbgP+Nsoxk8zWt/m2UWeR/kBXlSSpBemvYJF1Gla2+yGxdWHYWRYxWWkr6USwPeBltg3zI3zM6xtl8c1ExtpDAPY7M7kVGy63IJeRRlI5sezteCN85hZSByM2h0NhfRyXzwj3IN/gnyfU3AS8m+7nN7QUz3B/5mp6PWVXK+FBhaL6BNJ6rVL+ThMam5FjNBG3rj0MQA1VUTV0MCbZ9kLByAvJ5/T8qSqOaZzVBQv7dSMlxD5X0bMuiGJ6Lq65fBSvXXt1uNaRpASxdHfAOlUqy37T+nAbG7UI+y1eHYwHFrFyF+JohNresaseL93kiSbarWvXbqmOFO+UztLc+7UeS8rUrf+pOQCl/UqbsV5Dm4zrr3C3IRHcJ0uz1qbqnJgMLMUsjk4nvdMTo9kS+RW3AzXauBzIRZisIkdDRC2n0vk5VbmTaL+w19bWaBT3VZuXC8X9hxOgdiEzwL5MhgIb2/lW7YLkgqZjghiOm/IxZ/Y8a0lMsgi3IevEwYmr62MKwXdI+J2Mav8zvaGHkjrIA0ha9BjyTXLcZSuKeJcAJLdxXIJP1nnZsMRTQWWR92Q8FwF5A+anaij57q/WVfRGT9QElFZ1JaPka8JBt90NatL9SSTeVTVuD3D5eQkLAmnZsQyS4PGxtMgz5/d9l54sy6XdloKdDATEZY0uhtH9nkz89ZbVAeRmyNn1hRcOZ/Y8a0HQh0hoWJeAbkUXwm7Y/1sbUq1RVl6vR84cjjfjZ9uzTgJOT8+sigbfDogtkiIWgIixeh6wVuybn+gKX21y0Xub+sgXtS3tX95+tjMaTqLLqUOPMDLTnC1ZGQsogKsVEbknOH4+UR6Uq0Tr93+pNQPY/KIbvUhTktCryBUurBa2FNMN9Mjx7BJJwf4K0vesjZrzFBtK9SGsyGTitxDYZae1wlA20Nqw6W3JNtpQvs/sMKoxFUaziJfJoI/agUp3uOGQOHIsW7L9iGQaQtrONRBORuX2KhXo+m3R+h6KBz0a+aoVPWnYTFAps+gUVDePqyAVgoi0I30Za6a9kev4Q5At9G3IP+TmVCO4NUHqrIqPJmojxyxpURKUARCNiaL6NNFWDkEl3G+RC04aYiFyFKTrS0pyABcoZfb2QJeU9MmqjUaDkW1QCXdPFcz3gtmT/dsQADbH94dS4ql4yhhqRubYwZ7fTiqO5+QeU44O7EGIkirKzN6KMPFn6xyzoSSukPoysS0Ue+6swIRcxWruQofIYFeHoB1X94mU0/xYC706IGc+a1o/PZ3tZF/EHH5H4cCOLWPaS7Mg9o5FkfSbx87f9PZCff7YSyVU0HY4Ui+cgS9NwJDjdanPMd5E1oZT87DX5T/UmIMNLqu7IDVSiFn9GpQLZ8tWduKMF5UvQsbZ1lgMRI/MIMrEEZLq4K7n2UbRY1tzc3wFdwQbObmhxfBZLak0J5uz0vSTb37RJby0q/l7FolEsWKvlaBubZJ5GwlID0iTOj4Inn7dB/0cqZsE1ak3DHNA6PzIhP4XSlGXxMbVn9Ui217J+Mggxdr+j4ju3jvWn48lXzW8plJWjCNpZAPkxjqUS5b8/YspXzEFDFT0tKOhtdZR15jTESJ2I3FjOQ9rgje36Q8nknlE1jgZSYfzGGi1bJOe/iRiuXJW/+tl7GWf7IaXR+spUmxu/TVKRMtPYTvPyvmzt8Z3kmdVrxSK1pqEDmr6CBMbvIl/OdW3eeQEJU1mzFNmzHqF9iduVkGLkfSqByP2QlvgFMgdbIeHpBptbbkZKo/GIufqUSq7i/bE4hFxtY98L21g+kkpqwRuB39r22vYeF8hIS8roLoqEy+M6ugZpZMsIGg8oAPkhtBbti9bGoo2GITeanXOM56z/rd4E1PhFFR25GaUyWcb2v24DfQ3bXxJpF7PUt0YL9avA1cmxpZApcCByf/g3YsKONPpyMREbIPPJRpjfq3XgX6CI8qKiUkDmlexBaMkAbkBR23ehhfExxFT1SK/LRENLsr0c0igWlW++YrQ02/t6yxaJ1G84e+7Ojs6jBWprFASWqzb8QUiAK97DhqhwyO7ILaPwP1s6Fw1V9OyKfG63sv3rkF/jTTaOVrLjV9i4rmkw0Uxo2hEJBH/A0i7a4jDO+stfgCcy01Bd2eppG0d72bGv27HTrM1uzfm+7L//AUtlWP0OUInio5Agd2tyPKdv+/KI+T0YMVe3Vz87d19JnrUOEq5H2phKfXOHIq3jviXQcTPwR9veGa1VBR1/oFLUaX6sWEUmOtL+e5KN3Serrrkey0POTNzoakzTCkbH2chC8ATGZCJF2jNI4M6mCa7+n1QY0Bep+PnPzKWwZmMJ+c+vS/tiRHvbWDoNCSxFwGtp/vVZ2rzeBGToRIsiKfZbKLL0a0ibeA0yp56LJN3cCfX3QKamLW2/KK9aaDwfQi4TvyCfk/0dSOvwOHLR+B1i7Fa3/WPsuhaklS4t4bUNsrOxfJB27ASUOmnLzM9eBjErWwGD7NiFSCPTYoP9WTu+udGZTRNMe63eSUgLvRRV/l05F4Cq55xr76FgPHdE+aMfoxK5vqT1r6w+lfasHqhoym1Im3Ztcu7bwBvJfraiB7QP4hyJzIA/BUbTPi3ZKJtvXkDMRNaCGSgY735krr0f+SQXbiJbImvHhZme3Uoldd9gtDiuUt1myLe9MHMPqD6fibYhiHkofKUbkND7KEmVtIzPr2ZS1kHZXvYkiXXA/CiRYJktSLBqnnkcmbWfoX2WpOVRxbhsbkUd0YSUDkUhiCIorYe9v5yp/ap9bs8FTkn2z6Pixx6QK2EW4YD2gsGaaD36KpWqh4cgJn3FjmivMS0rohiQHyD3wAPt+GaIr7o3uXZztDYMr+7zc8un7gTU4IWlg3tBG9ibID+sPwKH2LmFUB7A3YqBlqMzVXXmU5D/0w2I8Vyq6tpcA2pBm+i+bfuNKDjvh4jx7mm0/Rgx5C+SoSb7zN6T7Y9ApsqXqERMt6Do7Tupsa9g1bNXRNr57yDtSD+kOb/P6BqCNCNP2HXjkntzpaBZwN7P2Uiz+TYlJh+nvb9gDyQYXI98GXsiv+lzkJ/9Osjtp4xUVwVzuQDScD5P4hKChLpbyZ9lIGWC90EMw/yI4b2JSs7vgvHL5mZEhXlossXndLRIn2/zzZGoIuWK1bTXmg4kvBauEL2RBvpbVFUbQ9aEm2ifZaXWc2+1q0MLYh7+RsW1qQX5Kr9NCWWkq+jZF/gv8ucstOZjkatCyozmFA7SfvwzKoUpGqn4LG9G5sqh1f3IvgfbnPNN5BP8NBmL39A+G8eBKCPRnSRKMhvjf8ZcKktqj68hLf0B1jcepKKAOAtlEsrplrErUnysZ/1iT2Q9XhAFJxfWpXE217xGptiQ0tq83gR8yReWDupBSNt5JVocf0mlpOmiVJkEqXI4/5J0zFf1uylzfgHSPq6dHMsZsd0PSXGPVD/PaPsDlfRbiyKXifVKfE8jqbhoLI3cIk6kkmB/KHAmGQJHqKT46oe0i/shN4AnkZb4tWLiRf5OO5HUk8/cRiehHJXzIeGkKB9dRvndr9hk//ViQqPC5F1mbTHG9h8ksXSU8aHCDI+28XSl9ZMF0GKetXJdQkcLCnB9CNNqIsvGg4gJ3QZZfcpIwbgIEq5HWp/ZiQpTszQqvvBbO5fTlNzD+sd5SNmwGmLCT6PCfB6PBKecPu3pnHuYvYsxtn+atdWopG9neUdIiC40eEMR03A5FT/KB5GAPRwxnK+QVDQtqR8X68EA5Fp0iu23S59Z42emFpP0XTWmx5BgUJRz3rOj95uBtu2TsbMvKghRVIDsZfNd1squCS2rYqlTkab1DcSc32ljrR9wLBl9yZH70B+T/SGI8S2EtxE2392LYq+yuc+U9ak7ATV6cWcjTcgApGF8jyR/nU0+uaoDDULmnO2rjqcmn7vRAp6t+k3Vs09FlV62TCaaYvI7EOVpLKVIRtWkd5kN8qepuIxshPxdDyNvzfrDrI8U2qsNkZm9B3JFOMna5R9UBVxRe3/gtE162felSNp/nkrwYk9KiARGUv3fUEDcnxDDuycyz11r/akQXprJlHWAjrMfVJuXV7G2egRLUZa7fYp3hjT15yf7ayItyVBrs2ex/Kc52wdlmrmRJD8oEmIKF4ADrT9nCSxCwULrIY1QD8R4/wBZmQLSrF2P/O6/h6wJw9L/kImuwfYO7kVWuL+jsrxFlp6fkNdHuii+c7X1jZ+j1IaPY0GK1l4PIMbmCWCzWfX/L0lPtYY8tVYW68HKKFD7q7V89ixo2sz67ndIAvaqrlmN9sF8tQxiH46C7hZDjP/FqKpr6s5zHRLmzkQKtdMztsfnlGIoWG87JOQvgoS6D4CbqvtbJprmR5b1W23/BOQu8wLir7ajIlTOla4Qn/vP9SagEy+pL/LjWdz2DwS+m5w/ETGeu9oE/SxW9SQTPcNQYYGrqdJ4UGFChyGXhBMowQcMmUwvsAG9XtW5oynBF9gWn1QTfCdWDx5pQT5LY4dMzZ+VCc5Ez3hrk39Q0XoeTSVP8Goop3QbGU2mtGeCT6ASCLI7iqjfKTl/J2IksqZHQ8zteaiC1UFISHgZmbKL/KFnkFR3ytwuIzBNfHIsXcQ3tzGezRxXvcggzertiNn7NtJKv4mYmkHILSBXerR1bQ7pY8+5EgXjpS4ii6PF+xkbXzVPM2jPuR0xdk/a82422lZH2qGDqZjYFyGJf6D2AmW1kHQiSZ5vtE68ZdsjkVZruUztkgopP0LM3gnF/0b+9FeTmLQxNxFqaJ3sgJ4+NrcMIrEMpu8DWcZOzdEuVTQdgjTzK1j/+RmzqJxa63ZBlq83EINb+LUvjrTP51dduwtyUciyFtC+mt+CyG0zzfByNpZSFQmWV1ClbMv8rkYgS/avkSJxcSQ8XIB87E8pi5ZS/m+9CZjDl7M0YqAK8/Uq9lLepKKxWsQ68P8izcDhyf25JKhlkZbqciqBD9Wpg5Yjo8YzoaWY3BZC2rz/oRJV34QWqwMz09AfVUwqTIQDUABaM2KubkaM1y+pMOorZKKlerH8BtJIn4O0xEfSvnznmrnfkT3nO0ZHkUO1J2KwfoMY9KewimmZ6Sj65xCkxbvY+k4v5A5xA0pddnluWoyO/ZGm/odU5aKkPTOczaJBewFuLBWz9gYoiPB4WyiWRgzOoIy03IYYhueoBJutiVyKLqQ9YzUUBYDWfJ5DbmcP0j5Qcbz1jwetv+yGhLc9qCpTXGuaOvo9e/a30neItMDrIKYqS+lkPm/eXxcpPm6k4lo1FDHIl5IIedXzUw1oScfIGBtLz1s77IxpxKmsTzk19CktRT7/Jirrc5Y5fya0bIcYuw07ODceuUPsUAIdAbl0/Rflpe+PLFvXI830hYjh3NOOn4+Y0Wz5rWdB66rIUrhH1fHS0qyW9l/rTcAcvJRtUZnDbZJjo1EU5z0oLU868Fpo77tby7Qip/B5V4j1EXNzLhX/wTJyAjdVPyuZkJehUoBgPRQcd0UJ76rwG1wAM/0hrch+wD22Px+KRr2MPMVMqhngtH22t0n5PRQ087lUOLXsLx389jjgvo6ehXLOHggckPs9VbcNYvruQNrfIj9vI3kLMKT/fTukiV7c+sf3SQowlNQWKRN8CRJIHuHzAlOjLV73kCG4CQmPD1OxopyEVaC0/Y1RLtrjyBtzEJCp9J90IJghpu9BKkVnzkFa4+ElvaOzMbM+0pw9QSVNZk/b79AEXyNa0v67NpUsNFsga+QWVNyf1qIqF2xGWnpZH9nB9k9DCoisBSCq31Eyt/RC68+PkRtNoQDYknIY0G9h1rZq2mx7d8SIlpIGDLmbTUIKoYKuJW0+OQxZvndHVt3sZYqZCa+Cslb8hUzVQrvKp+4EzMGLOgloS/YfR0xnIzLn3kSV5PJFL7mTdBRVzibbpJ/WG9/WJpusi5M9qweSZMcgDd7BdJADGDHoP0R5cLMGZZBIisgkdybSXBVpgo5EWs9W5PB/DZlMuF/UD1DQwRn2Lr9PCUFpybO/Cvyyg+NZ26Kj/1g9NpDP9h3It3HBjLQEpMFLUxUdRFJhEQmzfwJ2K+Gd9KZ9me3bgets+2nkG3eS9evRSKOVxeUK+Zr+AHgpOXY2itz+DpW8xbsgn9Qs+dCraDrDFsT+tp9G3F+P+S8i5rOUsqo2tzxKpTTwIOu3E5BA+SyWOSfT8wsmbwDyn3zO+smJyPp1BBJmxpM/q0nKBB+P/JN/RsX1qgUxg9eSrFmZ22WkvYO1rE9/3ehazM5viFwVtsvdNkhYOzClLzk/1PrtxbnGdPKsVIi7HK0/qUvENihPcbtc3ORVzGyA3M06tJhYv/lJThrq/WlgLkGM8QLg/hDCWyGEHwOvxhhPizHOQH6UvwO2DyGs2sG9sYakvIH8dY5AUu6xIYSrQwh9Y4wPogVsDWTizYmIAh0uQZPw9BjjR5+7KMZn0OK5Q4zxylzEhBBGA8eEEFpDCGcjSf9eZFbfNYQwApnpxqA22gDlMf4gI02nhhD2K/bTfhBj/DjGeCbS2OwYY2zLSEcIIawWQnjKDj0KfBRC2D+55mTg6BDCfLloKP5jCGHZEMIAOxZDCJ/NAzHGH6MFfTgwPSMtEWk79g0hbGGnPgH2DyHMb7RMRczOP3PQkdCzDPrP29h+kVf7qBDCjUiIvAllZtg5xjgBBTQenYMee09nAP1CCDuGEC5E42VfZN7dIoSwN/JPfg6ZvrMghBCMpjMRU/O87U8PIfSyy94G/mPHP40xvpOBjtEhhO2S/a8C/xdj3BKYFkLYCbmqXI8YwYAqoh1Za1oK2NgZiSxud8YY10OuaMOBg2OMV2BFMhCjlQ3J2D4CuQyegwSClUII42wsXYY0jQvnoiOZU1ZEY+jBGOMLRt9TSIB8IoRwKVq7jokxPpCLnoIs+x6VkBmSeW9T5IKVZUyHEBpCCA9Y/x1dHI8xFsVljkkufx7FZBTjLtp3zdandL43bIIs6isW4734tmefglxKsq2RdUe9OfHZ+dBeivoR8Ptkv6h+NRLYuiR67qPip9wLSXVPIg3oQkjzmStiO9VqfgUxCfdR0dSkbVWqBIeYlr9aWxQS7ZooSORctBj0IYnQrWUfQZrd/ZJjN2HRrR1cXx0MVVMNfke/h0xv19j2bihd23eQ3+mPyVdYJe0zJyLN3veAS9L2qLoua6lXe0Z/pDF7FyuhjTRWz6FFa1/k/5/NNIg0Ia/QQQEBVEjkgWT/TcS8Z/f1t+ftbOPpGSouUE3IklIUw8mWczbtG8n2i7RPzRhQuqvdM9OwJnLDKOb77YGPkY/yFYiheBUra52RjrQq5nwoyPcdKsVnmpCS5Pu234NMVUOr6bLx8g6VnNZrUillPcqOLZTp+dvQPjDyWCyDSlX/mQ8pHzalkjKz5sGCHbyvddA6vXXV+c2QljrnHLOqPftOZF3amfZuVu+hwjxfs7nvrNz9xZ6bxhdcg1ytsmTr6OqfuhMwBy+tWAh6oLQ45xUvq/qFlTCoVrKJd4xNNC8gjc2byNk9V+nbdEI5BZn/NrbF4BTqkNKkiqYjbSL+rJCHfW9uk8CZZFy4UQLy3yF3kEFI8zyongMaMwPa9sIoSOII218BWQ6OyPj86sCv65DGaj3kXvTN5Hy2BakDuvaxBWhvxOi9gYTZ3ohJv8OOZ0s5iNLmfUglA00j8h0vIsp3RELmGLSw30wmRmIWNB6FGPVRybEfUUIxkyo6Ukb8A+TjURanJwAAIABJREFU2Bst3DndD9L5ZQEb36slbXMQldRst5Lkns1ASzqWUr/655AWugiMG4bWhwU7+h856LH98TamrkuObWpj6Sx7dzUf3yiQ8gD7/aKfXIwE/Gp3tH4ze78Z31vxro5FVqeTUJaGE5GVMrv/K3ItOAdZSl9GloOiXPLCwAxk4RlbTXeN6Wiwee5q5KpSlEjuhdbLGykpZ3JX+tSdgA5e1ExrZyeDbCnko1taQFEVTcNtgfwD7QNYWsjsC2bPOdkGUqF13RZpY/dFAXJnY4t7Ge8JmeL2QL5yrSjzQer72Q9JuzWPEubzmsxTkfltE6QRXp1KmqJs0f0pPfbdiASANtpnPlgHmEIJBSmSBaAVaZ6/hWkbUADUhsgUl7XceAd0NaL0Z+snxx5EWvGWgnby+9kfCnxs2wVTd1Fyfi1bGP4XBczNNNVTZjpvRFrXlcgc8DqrxTeZfxezfv0xSQYaaszUVM39JyFfzisRUzEkOdcPaYWfIEPgbQe0fMPm352RlWt9G0ffRgLmDzK/o1HJ9qrA1lTKEm+M1qajkmt2IqlcV0M6eiDNfDHP7EvF4rUl0jJuavuDUSaNbP7+dKBkqe6TaB26AjHpN5OZ6aOiDNqDSszBGGQN/A9iRlexYysn99Uyrqmj/OzbIUXD7lSsyeNRCs9jKMEi2JU+dSeg6uWkk83iHb2MpGPtggJpetay08wBrZcAv072S+k4thi+TyXZdcF4HYgWzD9j+StLomd3pM1Lk/uvbe9mV5t0Ls3RPlX9ZXusDCbyE5yEXDR+jLQkTyBmpgxBpaj61QNpYN+iPYP8E+D/yJiNIaFlAaSNvxkFZ/yXSmT7/LZ4vYJcenJZUqo1V31QaqDtk2NjbBK+jkxprmZC24XIVeRVOnCPsGuyZR2YAzqfsT6TJeCV9sLkCijn63gqgWif9V/7XhtjctLzmeg5HDGXhUD7feB+5FrTBzHHt5bwDnoiV56bEGP+gD27B0p39batCwd09D9qRMOpwO22fYyN3ZtQkN7FdnwPJFjunbk9drXnFGn9tkdM+IFIO3ymzYPfQ2tETstXuhZsSntLXLaKeXNA30ZI0O6LMkPcjVx9LkWWjELIzDmOtkSWgaKo1J5ofdwKKR72QGvnyHq2VV3eT70JSF5S2pFPt4HzDNJ29k5fajIp101qQczOU5g/VqZndOizaR14ArBB1fULkbl6HXIBKTTRiyC3kKG2P6agCWlDb7PFIltddHvWWYiRWTY59jDSkg+0zwLkLWZSXfVrr+Tcc4gR741MuUeRKbF/FU2rIFeVI5JjlyNtRMHQtJLJN7mqXfrbYlCkZTsc5ZEekdB6DYmPdxkfWyS/C/ym6vg6SHDqQZ0XUaNnfkzrl+n3izl1dyS4XYOyzXyPxJcz/S62a90+CS29UdnxV2mfnacZ+VReZe8vi8929f9CMRk/SPZXQ0xokSLyAmuvsR3dXwN6bkAM1EAbT09TEQ5GoGwDuyEm9DQyF8lATN1xSMgu5v3dUZBc0SZjkJY61XZmsRzY/76PSqGbS3M9s5N0PoksKd9J2zDj89JxepiNo9uR9aJIOXgCEixfsfeWrWhSV/7UnYAOXt7eNth7ocjpW5Fpp+jsM3WdKJnOXihQYmQJz9oVmUbvxirdIG3Az6gUrSjD12pJ4FjbbkYlQyci7cjVSGvzOnCSXZOl0lYVTdshX9ciV2dR1WoA0tBcUHV9ratbfWHVL7vuWcRYvU5i1q0xLR2ZBv8IPGfbAbnvPEiSmquEd7Q0Coj7ATKnr2bt9T/IgnERqlK2RmY6Gmay3UriW4lM3i8Bu5bVRvX6ANsm28NsLBU+08sgd5rzSppf0oV7CZv7j0AM+Q20r8a1iPWZJTLRMhpTKqCgs8GIobsfMaKFIHkb8I3kvodsDqhZ0QHE9P4YMVHFu1nLxnaasvIo4CrbzpL6kETTavvDkSve9cDyNr8cZXNMR8UrclmdFrJ2L1ILrmttdmruZ88GbQXvsi9wV3K8lMB2pDi7m0oxleOQ3/jGtj+YpNR3d/x0ifRpScqO45BJ7mcxxk/QAHsXaZI2gc+nQot1Sulh9G0TY/xTzudYmxyMJpcG4FxLW3QbMrHfHULolbsdQghNMcbfAZeHEM5FScDfQqbAYahAxBZowRoIEGP8V06aDGOA12OMn1g7TLMUPh8hAeq36cVR6fZqghDCbUgLdAfKhTkZuSE8D+wQQhiQXL4JMhmOizG+XysaEloai/8WQhgVQhhmp9ZAKZSOjcJUo+Opmf1WjelaDwWdHWP94wr7DIoxHof69esovd/PMtGwaAihR4yxLYSwArSfN2KMk5Dv4PgQwstoDtovxnhXDnq6CkIIawCHhRCOtUOTkIA71PZ/i+bfYWXMs8XcHkIYixbve6NSkN1ol+ybXPtHFHPwViZyBgHftTRfNyPN8+9RQOf6yC8ZFOT0txBCo+3vg6rbTa4FESGEccia9DiylD4YQugXY3yBSrBpgflQMBgxxn/U4vlVtJwBvBlCuCGEsJCNqT8j4eC/qGDSQLQ2TQDWLvKUFb9RvX5/CVpCst2E5tdDgeJ/FwFpWxQpNGv17I5o6SjtWNEnkrHzCrBJCGFRO/7ZWlTL8VVFw0Dk+rAcUkCA0ui9C+wZQtgwxvhBjPGxWj1/rkS9OHA6duBeFjEV12DO/WjCuQlJe58rGDEvf5BZ9lvI5HMIMrEvmZwfTOZk+rTX0iyFfAPPR9rwNaqu3RiZX2pevYgOgiZte1sUhLFIcmwvMvrH0UWqflW/I+TD+Ig9+2dYonakHfk/Eu1fGf3F9n+JgkpXSo7djLQ12Qp2pPQgJvdJFNn/CorS7mj+2QBlZMhuyegqH8RwPoDSXzUgLexBVNydtkDm/mwlravoWQBl8vgZlSw4TUh4uxnl5835/FRL9xQKaFo9ObYjsu7cZ+fvTc7lyAyxNO3jL+4Gnrbt3VCu9ruQq9HrwFoZ22ZTG7c/tT5xOZV0dqsj//5vIZeJbO5wdGz5mg8xeC9Sqew6P1o370Oa6hxZGNL1cTNrg7PTvptehwIqs6Rqq6JlfipW0iWQguZkKq5pCyE+q7Qy1135U5+Htmdq1reFqjBDrWED+xgqQT2jmUk+2HnhkwyS6qCiBsRwvo4c7At/sB0pP9K/iFgv8mVebu9pnNF5MPLNWi3Ds9MBvgfSOHzbBngDkvx/inz4zkPMTpasGXShql+0z0U5CPnUH4IYvbeRdmhFO38k0l7l9EnrKL3UcGub46vOv0pJWV8QI/V35IbRVE1rd/2g1F83Iz//Z5Dr0xpImLof+d7/noxm047eA9JgvZs+FylEziYjI0zFhN3TxtM2iPG8x/aL82ORu8R2s/ofmWjsi4SEwgViCWSVOi/XnJc8e3XEeI9AxZxuBn6NhKmAFAB3kOSJp/b+wOkcciryhd7DxngrUpqlwkmfWtMwE7oORRr6DZAG/1dUMuA0VtNPBqY8ecaOiG+4h4r7w/rWlw/HYkLIlOZ1bvzU9+Fidl+1Ce73qGoTyO/zbuQf1jO5vu5BK5naoTXZXsImlHVt/zCkCS5yZ+6A0pNlT7+V0LQSYjTTlGjNSMq8wibGvmTQ2GMRrrZ9OgoQWdG+f4d8tYMtBkVanEJgyDIB2iLwtk04F6LI6JWAo20C2htpII4Als7w/ID88W5PJtvVEAOxoNFzAPK9/RPG/JJozTPQVDAJ/VBRjDOpBNCsh0ylOybXZZ2EaS9sD7T39BvgjKINk/PdgimuapPVkevDV6zfXIGYnAEoPdqeKEYjW8YM2jOeJyNhugjEPQExWWkAbL+MtBSC2xjExOySnHuBCuO5ETB+Zu1a0nscjQIaTyvzufbsJ4CzbbtwRbjfxtbalKSwopIJ50DEQ5xrx0chN5JbSmyTFW3O62Xj5lm0Xj5fdh9BPNVPkeB2n42hXe3cV5Eya4syaJmbPuU+rP3iszvSrPVApuz3bX8jO38CGdOtdJUPcjf4G2JgljGG4VpUmvMQxHSdjsyFN9ugXzUzTc1V+8sh7e8rJGZj5Ev4EibAZKBjY+S3uLpNNhcjJvA46yuPAy/O5N6szA1doOoXYjpXp5IHsgklbS8qOm2NchbfY/u5TYPLIG3VYSg/5r+xZPU2xv8OrJmLlg5oWwKZ9osAo2VRcOc+tr8hJZn86/2hPRPcC5lx70uOjUVBaVeTCObV92aga3HkU38yYsRfpmLavsLmnKEZn98v2V4BCbhFRH3BHC9MxSr3IUkGhDq+z/WQhWfFkp5XtMWGKFvHvcjtqTC1nwcsWn19Jlq+TqWy620oQPEJKta41VHMQa7nV1tum5CrwXZIaOqP1vU2Eu10zvdi2/1sHC2ACjW9YGPoBWA9u2bzMvrL3PYp70FV5n9gCDJbnIK0aD2RZPlysVh2lw8yqf8GuRusYcfWQdJcYdpYBTGD2fykaR+B3BsJK4sid4AlECN+adXgy7ZI2e+fYwvlGKR13t0mvQakFW0DHu6or5Xw3upS9Yv2TM2vkU/wfEhIeAI4385di7R9uTTjG6Jcs43WXy5GpsHRSCvyOGIcisXyZDJoyGfSLmsh4foupD3bxo7vhPylr0VR9zUvNNDVPrQ3zV5rY3g7xMyk+VZvskVzN9vPITitSiU38QLIgrM5ind4zt5Jqkm7h3yZIXZGWs1CM703KgW/INKefR/FpoxAAcFbUHHXq7t1ksypMmfyzHGosuCjMzmfJZVe1bFWWwtuxbICIYZ4Igrizvn/Cz5mBFLIpLm0z8YKmdi8eyYZ00Em/TZdj4sCLz9NaJ1o4yjrWj03f/I/IMkzicxu36GSgLsFmXcL5u8opGFbIb2/3o2UqV3SRbsF+Vb9k6SEKyoB+SIlmG6RFHsLMqm32oL4c1sMTrVrxhud2WuhVw3uu1Bw2kDkD1xoXL+KAtW2zk3PLOgspeoX0uKluaSLSXAhpK36hu2vZRPfy1iVp4z//QYkvBZ5U4faAvEysKMdexsJeVk1ryRFOJA25IJiHkHZBj7EcjejxPLfoORyyfX8WP/ZG7jM9hdEeUNPRm41Q5Fv8DoZaZgPaREvsjmmCQnYo5E7QhF/8F/gthLaZEEkxK2BGKtVgH+hbDwnIn/K75IwO3Zft3ClmUW7XYDlwqU8pcPWSHApgugHI/e4gbZ/ia0Fw0ugZZzNazciK9ehSDHzNaSYuRC5euasMVDM/2PQGn067ZnwG5H74rrIzXR8vftNV/6U9yBJ/fcgDdpTSHPUiLRGJyBp6iG6QBWnEtqiIf227X7GMKTJtjciqRufkZ7+yEXlcBs092PMpU0+92ClVG2w31EGE0F7Zvh5ZH7byyabG5CP8Kgu8D6fIW/Vr0ab9M+vapPCJWMV5FJTCJhDyKgtopKrufATvwoYbcfWwPzzkMbvIuDyzO1/CElQItLK/4OkJDIK/JpAldm/u3xQWq/3EGNX9Jt17d09g4qspNkJslS4Qi4Yz6HgzSLjwFZYaWssbRkZfTyT+bcJuZ69BRxixxbBspkg4eFnJEFx/omgCnL3k6mQSfqObPsQFOtwA3K3Kuaae5E7z/32yVKRkvbugJsgZcy2tr+tzc2FH+52iCFfLBMtI5PtdWzc7ojiU6YjAWFDKplN3qQLuPJ09U++H27fkTdEgRnL2uR7vnXcBZG56SJbvIbZ9fOkFriqfcYgDcxNKO8kKGr771heWuvke2em4zSklV/eBtFxyPRVVAbqjwIAHqSi5atZsvjZ7UdG21vINWJTlOKpWLDqXT4za9Uve8bqSAuxR9XxgpnYBRWrWK+k9zE/YmZWsLH7TesriyNB5Qwk2GXLbkIlPVA/JCzskey/AVyZXNtoffjAevaVMj5Vc2+aavB05Fu/AhXGtDdiPocl19VsPGGWjCqazkT+9TvY/o7Ap8ht5efA7hnbpvjfgxCzsAyyLD2NskQURQf2R/EYWdO1zY0fJACvn/H3U1eexWxNarX9K1BGkR7I+nQCSUGTDLTsQxKUiHzoJ9jxoi8dhpR7W8zsf9SIlv2QoqoBWZFPRpbIZZDlOA3wXATFAbg7xOy0babOU121aUvge8mx5VBez+uoivCvdefpSp9k4KxoC/WhSDD4DfBNO7cJVoaRTL5xCT23IP/s5aiYnEYiLdHdWAU0xISeRh2ilKv6xhrIh3DL5Nw82186aIddUE7e8Wm72HYrSiNUhmlwYVuQzrP9lZCW7wjbXxc4lrwMTX/kI1gEyIwjKSeNglX+hJkL7Vj2nM71/lT1ieORGfuM5NitKKDzc3MLtffvLCwZFybHDkP+i1cgK0+RHedYlBIxi1Wliq7FrB32SY6dhFxF1rH9k7H4jOp29U/Wd1OskQOtfzyOFAAjkmseI3NlTJKsNsi9swiwbUSxMleSxBfYftaUpihe5uvJ/pnIYvEiFkCPGOAjyaQdn1c/OV7WZ2Z/5Nt5AUr59b2qjnM1MrmnC9U8qQlGjGRqpt2panFaEpXlLRaFrYHBmWgpJpozgNtncs3KiBm+kkp6ruzFD76A7iLIcm9kXehRT3rq2A6nIkvBssX7RD6ND5b0/FZjpF6vOr4dMrHvSf5sGakrz/3AJnZ8e+SDWrj1FELlxjnp6Yofm18fRla4KciHsgnFaTyGGNEySqAXloydbS14ikqw3AVGS9GXcwV1fhZUhIKJDkcm9v2rrrsMBZuOTo59FuPin3I+tl5ejVKBLYo0wEeTZDOyNWClXO8GFWkqCib1RfE75yT0FZX+RuR4fkJHLyqWr/tpL7x9DcXyFJaVxYzuk+r9Due2T81LLEeVMV0IaTsnxBhPQgvk/MBuIYTxIYRVkOTyVxQoUdwba01PvRFCuB25Hrxs5TJBHXab4pqo0sX3ouIDxBgfjjF+kIOepI2HIZ/sz0pBhhAa7JpfYhph5FtJzFCyc04QK+Uof4s0fT3qSE7dEGM8DzF759g4ehn4TYxx2xzPCyEcEUI4KYRwVAhhtahyxE8D84cQDknoegBZedZCWpMsCCGchpi4JZEP3IvAwSGE5WKM30dWjlNDCMvHGH+EzN6/zkVPV0QIYQPgvzHGrZEV4QXkTnRaVOnxk4DXYgkl0GOMP0fprq5AvuwbRZXlxdaGNmAvKxGepYxz8rstMcZPUYaBq4BtQwhLJJeegNaqPyf3xnlxXeqqCCEsgIK/RgHfjTG+gyxdRwDbJaWsl4kxvlzrd1OUP0axKLuFEA6IMf4bxevsavsfIIXEDsDmIYTmjkos14CWRmSlONsODUJuiwWeR9aVE0MIRRq5G2KMF9SKhm6DWnDTfL6s6j5oMrmZis/Vakgr8SSSWkYhzehNyOdonpK6qZThvRb54d0B/NzOzWftcKntj0b5eDcsibbeyBdve9svtK1N9i7GIx+kLchUDrKTdDcik2VpxUS66gct2G3AiRmfcTtieg9CZXh/WTwPFT94CNPGJvfkzB/akSvP4qis6x3IZaPB9t/A3K7m5Q8daCyR1n5+tID+f3t3Hm1nVd5x/PtLggKSgWIoCSRQmUIDYhlbag1LaBGyoDJGSEAjRoRSy2QRpBJjGYQgaAlgGYsEirgwKxEoKQgVh4JSMYxWQCEyJQQIgQQSyNM/nn1u3txmuLn3noF7fp+1ziLnvOecu8/l3Pd99t7PfnathvSk8n2Z0Og2lp9fKzU4orS5Y2MVOtUt76Wf935KPe1y/6byfT2DXJsyjBwBvppVlKTsa9ejVr2RKU2169AXydHXvyM7uPtW4odPk6P4O9WxLSeRAwu1lMCxZK3mMeX+EWRqWm2vg/2o/4hwbUblcHIGvbZOp5q6sRtZMq0hNaX74q03/kdVE9urqytPIqcPdquc9N5PLmTZiAyWf00fXNHIim147+/0+D2sWPG6U7lY30qu7KzbVryraeNkcop9k3K/+od1A5Ud3VrpRhvlBK/l91C3BXolUDmfSupMCVg+QU4RHkR2mmp5lXU7AdP1VJ7LyRzT9chO6Lh6talVbtVgjey8foWcLq5NpV7GijrknydnnXZoYnuvLteEutfiLQFEbRHnpWSN6wmlDZeV78loMkC+rNn/L9v1RuYCP0MuXLybFbtgXkJWpNml8txD6tiOqWRazNblfq0yzunAIsqiM7IjNZ+Va8fXNX+cnNWZB7xJzm79pPz316XNToXo4a12kekWSf2iTDtJOpesCfk2OaUxW9I0MidrakQ8VnndaPKiNT4iXux2A1qYpN3IP+QpEXFDuX8HORL8NLlYYy550R4YEY83uH0jyTIwAyLi4MrjN5IdlnER8U4j22StQ9LVwKyImCFpQO27IOnvyUB4LJnicyxwW0T8qM7tuRKYHRG3lGn0dzudfz5G5hQ+GhFn1bMtrUCSopy8JU0gp/WfJDsod0fEtyVNJ8+/lMcnRsSC6mub0O6fkHWuJ9Tj/CJpL3Kw5UfkIu2Dyc7+/uX4GPI7+2RETCnfm9cj4qHeboutWe3vV9K9ZNrMARHxX+XYAHIGaAlwUb2ujyX9YBawlAy0l5fUos9ExNHlOVcDfxkRo8r9YyLi+nq0Zw3tPI4MyieSHYch5AzYIPI8/VYj29PXdCtHuJYHU7kIXUyu0j6FzGE5UtJh5KrlzYATJQ2pvT4iHo2IffpqEAwdebb/BJwt6UxyxOoScgTtI+TmC1Mi4g+NDoJL+54lV6FuKmmOpOmS/ht4JSIOdRDcviRtSAa5tfNDNWh6hDwJ9y+d28kNCII/QM6gvNvpUL+Sn7c3mepzFTl92OdVguBDgU+RW1kfSp5fdpV0IHnRvJlMuzq42UFwMRaYVqcg+B/IhZx7kqkPd5MLSXeSdEh52s/JRUd7SzoqIn7sILhxqjm0sSJ3+4tkR+4GSduUY++QHdvhZCeuLiLXnmwCPFOC4M+Qs2EzKs85FnhT0v3l/vXls/T6Gqs1tPM75Kj5KcDiiHgoIu6MiFscBPfcOo8IS9qBPPH+W0Q8Lel9ZHWIcyLiQUkDyRqMoyLiuDL6u33kQpa2I+lksszJ8RExvTzWn5wSejUi3m5y+/qRRcEXk9fXO5vZHmsNZVHaEcDHSwC1YUQsljSUzP0fHxELG9ieyeT3dJ/SnvVrF4CyIHVqOwQ0nUbBh5ML0Q4kN1O5R9IgMh94d2B6RMyqvLZ/rFh02qdIOh/4KLnF7guVx4eSHYI9yHrtD0ramPz93Be5eM4aoNMsxliyw/I08P2IeEPSZWTlpB0lnU7mlN8bEcvq3K6hZNriK2Tnf9KqBqck7dfs62OZUXmOrJm+tJlt6UvWqUdTgt6vkT24gyRtQfbW+gHDyhTqIrLnMkrSoDL625ZBMEBEXEx2FI6QtPmKh+PFZgfBpSHLI+LWiPiPZv+RW0u5msxDuwYgIhaXx68gc+Reb3B7riG3Lb2qtKcWBN9ITv8/0uD2NFwJJJZLGlQ6As+Tszq3A/tL2ipyhfv3yaL/r1Vf34eD4MFkFZHDIuKFMq1eC/znk4vkngBOlzQyIl6NiNkRsaSRo3rtrhIEn0J24P6X7LRdXo6fADwraQ7ZuZtT7yC4/Nz5ZHWZLch1CB1BsKSzJX2pPK8Vro9jyY2CHAT3oi6dBCqpEEvJi2Ot7Nn+5QL5AFmbca/ykk+QeWB1/xK/F0TE58npl2+WzkJdygSZ9ZaStvR1YGNJ/yPpRkm/AOZFxMRGT687lScDCUkfJyt4TJf0HXJh4zTy/PJpSRtHxDNkzdP7mtjcRhpebotL8PsOrBT4P0t2DpaQAXMHn4vrr9rZkHQAuaBzL2AgGYNsK+lSgIg4ADghIj4aES81qo0R8TC5EO5USXuUtl5KloO8plHtWJuIWNhGf9cN06XUCElDIuuHImkYOSozl1y5/r2ImClpKrlt8EBydeP4MjphdIxafNhfYnsvKZ3gseQFa3lE/LDJ7WnbVB5Jf0Gee48nqx78DVkd4a/LbRK5scp1LZAL3DDK2rNPkNtn/6B8RxS5oHJLsvTUxeQ2vQua2dZ2U1kQN4CsPPMuuUnE4WTq1WFkTf3LyZ0qpzStsYCkM8hNgV4GHi+DWH06rcjWkoReclnvIdMeTgOeiIjflJGhmeTJd5yk+RFxWskP3iYiflV7vb88qeRTOgi295QSTDU1+K0qI3htkWq1imB2FPBARPy4dFAeJEerPkmOeEKWDKNdgmCAkjN+IfAlSU+W0b2ao8gt7TesBcHt1ElothIEb0t+Ty8k03gWkvnB50XEK6XjMo0sI9pUEXGepBHAi7Wg3HFM37fGQLj0qJeR0267kTuYHAdsCowny3l8A/hc6fn9FHAQbGbWA6s5f74ADJX0p5EVO16TtBA6Ogi3ldd2LKhrI98l0/V+WHI6nyVHyLcgZycX1Z7oILj+KiPBu5BB8LSImFk5vgC4XLkj2sHkIsffNqm5Kym5ykDH53Ac08d1JUf4MLJu3ULgOnKXqU3JXVU2JHtyAlbartNfHjOzdVdGLN+VNKzkZp8raTy5Ac48cuHtzpK2Az5MbnLSoQ2DYEqliJPJa9QEcneytyJiv4h4WSu25rU6knRIWSRf+w5uD9wYEVdK6ldbyAicQ250sinwt60SBFfVFqc2ux1Wf13NEd6drEd5Mlmv88/JEeJvlZPMBuEyNGZmvaKMpP0rWXt8CLkB0R8DOwP7k+XA+gMXRMSM1b1Pu5K0Xq3igGcnG0PStcBIcqezX5bHppBbFI+pPG8wsGVEzGlOS81W1uU6wpKOJFeRT4qsV9lRx9PMzHqPcnOI+8nR3mvJsk5XVI5vTo54Ou91FSpT8+2YJtJQyg14ZgK/i4hJnY5tRW5f/EBEXCDpQ+Sg2rSIuK7BTTVbpS7v2BIRN5UVuJdK+lSnBQlmZtZ7hgMXkCvtz4rcsn4EmUv5zYh4DlYEwA6CV1YLfh0EN8QO5OKySQCSdiSrR21D7qB6LTC1zCyPIuvgXtektpp3edPQAAAFPElEQVT9P+u0dWFEnC9pZ3J6zoGwmVk3lXzJr5KBwbzyWG1k915gn3JstqTNgOvJLYI7OAC2FnGIpF3JtJ3RwFbA1sAs4ATgY2SKz3ploadZy1jnLZbNzKx3SHoY+BlwUnWdRZl9G0/WNL2bLOw/PSIubEpDzdZAuQX6keRuhheR1aPmk7vHHer6+dbKuh0IOyfNzKxnJH2QrNV+M3BORER1cVeZTh4MvF0LJpz3aq1I0p9ExO86PXYHmdrzYJOaZbZW3d5n3UGwmVnPRMTLwETgs8DR1bqlki4Gto+IuypBsEs6WUuqBsGShku6C3jKQbC1um4HwmZm1nOl1NQZwNnk+gvKRgNjgNmdnusBCGtZkgZKOgq4C7gtIk5sdpvM1sY5wmZmLUDSGWRO8FJyO/tx5XHXwbX3hLL193bAkIi4v9ntMesKB8JmZi1C0jTg5Yg4u9x3EGxmVkcOhM3MWpCDYDOz+nOOsJlZiymL4hwEm5nVmUeEzczMzKwteUTYzMzMzNqSA2EzMzMza0sOhM3MzMysLTkQNjMzM7O25EDYzMzMzNqSA2EzsxYh6feS9q3Te58o6ZeS3pZ0XT1+hpnZe82AZjfAzMx6TtKAiHhnDU95HvhnYD9gg8a0ysystXlE2MysDiR9WdJTkhZJekzSwZVjkyQ9Xjm2i6TvAiOBWZLekPSP5bkHSXpU0muS7pW0Q+V9fi/pdElzgDclrXZwIyJujYgZwIJ1+Ax7S/qDpFMlzZP0gqSJleNjJf1K0uuS5kqaXDm2laSQNLEce1XSFyTtLmlO+TyXdvp5ny2/l1cl3Slpy6621cysOxwIm5nVx1PAXwGDga8BN0gaJulwYDJwDDAIOAhYEBFHA88CB0bERhFxgaTtgJuAk4ChwO1koPy+ys85EhgLDFnLiHB3bVY+w+bAscA0SRuXY2+WzzGktOF4SZ/s9Po9gW2BccAlwFeAfYHRwBGSxgCU150JHEJ+1vvIz25mVjcOhM3M6iAibomI5yNieUTcDPwW2AP4HHBBRPwi0pMR8cxq3mYccFtE/GdELAOmkmkNe1We8+2ImBsRS+r0UZYBUyJiWUTcDrwBbF8+470R8XD5jHPIwHVMp9d/PSLeiojZZOB8U0TMi4jnyGD3z8rzjgPOi4jHS0B/LvARjwqbWT05EDYzqwNJx0h6qKQAvAbsCHwQGEGOFnfFcKAjSI6I5cBccnS2Zm4vNXl1FnQaaV4MbAQgaU9J90iaL2kh8AXyM1a9VPn3klXc36j8e0vgW5Xf1yuAWPmzmpn1KgfCZma9rIxiXgmcCGwSEUOAR8jAbi6w9WpeGp3uP08GiLX3FRlIP7eG1zTSjcBMYEREDAauID9jd8wFjouIIZXbBhHxs95qrJlZZw6Ezcx63wfIAHU+QFlgtmM5dhVwmqRdlbapTP+/BHyo8j7fA8ZK2kfSesCpwNvAOgeHkgZIWh/oD/SXtP6aFtd10UDglYh4S9IewFE9eK8rgDMkjS7tHVzyqc3M6saBsJlZL4uIx4CLgJ+Twe1OwE/LsVuAc8jR1EXADOCPykvPA84q6QGnRcRvgAnAvwAvAweSi+mWdqNZZ5GpCF8u77mkPNYTJwBTJC0CvkoG7t0SET8AvgH8u6TXyRH0/XvYPjOzNVJEM2fVzMzMzMyawyPCZmZmZtaWHAibmfUBkkaWjThWdRu5hteduZrX3NHI9puZNYNTI8zMzMysLXlE2MzMzMzakgNhMzMzM2tLDoTNzMzMrC05EDYzMzOztuRA2MzMzMza0v8BwlUHMii/cmIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#criando um gráfico dos 20 filmes com a melhor nota em relação aos atores principais\n",
    "plt.figure(figsize=(10,8))\n",
    "\n",
    "df= df.sort_values(by ='imdb_score', ascending=False)\n",
    "df2=df.head(20)\n",
    "ax=sns.pointplot(df2['actor_1_name'],df2['imdb_score'], hue=df2['movie_title'])\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=40, ha=\"right\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Preparando os dados</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo algumas colunas com dados categóricos\n",
    "df.drop(columns=['director_name', 'actor_1_name', 'actor_2_name', 'actor_3_name', 'plot_keywords', \n",
    "                 'movie_title'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Drama                              209\n",
       "Comedy                             186\n",
       "Comedy|Drama|Romance               182\n",
       "Comedy|Drama                       180\n",
       "Comedy|Romance                     149\n",
       "                                  ... \n",
       "Drama|History|War|Western            1\n",
       "Action|Drama|Romance|Sport           1\n",
       "Adventure|Horror|Mystery             1\n",
       "Action|Adventure|Fantasy|Horror      1\n",
       "Biography|Crime|Drama|Music          1\n",
       "Name: genres, Length: 875, dtype: int64"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando valores existentes na coluna genres\n",
    "df['genres'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo a coluna genres\n",
    "df.drop('genres', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo colunas criadas\n",
    "df.drop(columns=['Profit', 'Profit_Percentage'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#verificando existência de colunas fortemente correlacionadas (Mapa de Calor)\n",
    "import numpy as np\n",
    "corr = df.corr()\n",
    "sns.set_context(\"notebook\", font_scale=1.0, rc={\"lines.linewidth\": 2.5})\n",
    "plt.figure(figsize=(13,7))\n",
    "mask = np.zeros_like(corr)\n",
    "mask[np.triu_indices_from(mask, 1)] = True\n",
    "a = sns.heatmap(corr,mask=mask, annot=True, fmt='.2f')\n",
    "rotx = a.set_xticklabels(a.get_xticklabels(), rotation=90)\n",
    "roty = a.set_yticklabels(a.get_yticklabels(), rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "#criando coluna Other actors facebook likes (combinação de colunas fortemente relacionadas)\n",
    "df['Other_actors_facebook_likes'] = df['actor_2_facebook_likes'] + df['actor_3_facebook_likes']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo colunas unidas anteriormente\n",
    "df.drop(columns=['actor_2_facebook_likes', 'actor_3_facebook_likes', 'cast_total_facebook_likes'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "#criando coluna critic review ratio (combinação de colunas fortemente relacionadas)\n",
    "df['critic_review_ratio'] = df['num_critic_for_reviews']/df['num_user_for_reviews']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removendo colunas\n",
    "df.drop(columns=['num_critic_for_reviews', 'num_user_for_reviews'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#verificando existência colunas fortemente correlacionadas\n",
    "corr = df.corr()\n",
    "sns.set_context(\"notebook\", font_scale=1.0, rc={\"lines.linewidth\": 2.5})\n",
    "plt.figure(figsize=(13,7))\n",
    "mask = np.zeros_like(corr)\n",
    "mask[np.triu_indices_from(mask, 1)] = True\n",
    "a = sns.heatmap(corr,mask=mask, annot=True, fmt='.2f')\n",
    "rotx = a.set_xticklabels(a.get_xticklabels(), rotation=90)\n",
    "roty = a.set_yticklabels(a.get_yticklabels(), rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "#categorizando os valores de nota do imdb\n",
    "df['imdb_binned_score']=pd.cut(df['imdb_score'], bins=[0,4,6,8,10], right=True, labels=False)+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>duration</th>\n",
       "      <th>director_facebook_likes</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>gross</th>\n",
       "      <th>num_voted_users</th>\n",
       "      <th>facenumber_in_poster</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>budget</th>\n",
       "      <th>title_year</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>aspect_ratio</th>\n",
       "      <th>movie_facebook_likes</th>\n",
       "      <th>Other_actors_facebook_likes</th>\n",
       "      <th>critic_review_ratio</th>\n",
       "      <th>imdb_binned_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1937</th>\n",
       "      <td>142.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>28341469.0</td>\n",
       "      <td>1689764</td>\n",
       "      <td>0.0</td>\n",
       "      <td>R</td>\n",
       "      <td>25000000.0</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>9.3</td>\n",
       "      <td>1.85</td>\n",
       "      <td>108000</td>\n",
       "      <td>1206.0</td>\n",
       "      <td>0.048021</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3466</th>\n",
       "      <td>175.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>134821952.0</td>\n",
       "      <td>1155770</td>\n",
       "      <td>1.0</td>\n",
       "      <td>R</td>\n",
       "      <td>6000000.0</td>\n",
       "      <td>1972.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>1.85</td>\n",
       "      <td>43000</td>\n",
       "      <td>13000.0</td>\n",
       "      <td>0.092940</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2837</th>\n",
       "      <td>220.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>57300000.0</td>\n",
       "      <td>790926</td>\n",
       "      <td>1.0</td>\n",
       "      <td>R</td>\n",
       "      <td>13000000.0</td>\n",
       "      <td>1974.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.85</td>\n",
       "      <td>14000</td>\n",
       "      <td>17000.0</td>\n",
       "      <td>0.229231</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>152.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>533316061.0</td>\n",
       "      <td>1676169</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>185000000.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.35</td>\n",
       "      <td>37000</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>0.138204</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4822</th>\n",
       "      <td>96.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>359.0</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>447785</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Not Rated</td>\n",
       "      <td>350000.0</td>\n",
       "      <td>1957.0</td>\n",
       "      <td>8.9</td>\n",
       "      <td>1.66</td>\n",
       "      <td>40000</td>\n",
       "      <td>512.0</td>\n",
       "      <td>0.199324</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      duration  director_facebook_likes  actor_1_facebook_likes        gross  \\\n",
       "1937     142.0                      0.0                 11000.0   28341469.0   \n",
       "3466     175.0                      0.0                 14000.0  134821952.0   \n",
       "2837     220.0                      0.0                 22000.0   57300000.0   \n",
       "66       152.0                  22000.0                 23000.0  533316061.0   \n",
       "4822      96.0                      0.0                   359.0   20000000.0   \n",
       "\n",
       "      num_voted_users  facenumber_in_poster content_rating       budget  \\\n",
       "1937          1689764                   0.0              R   25000000.0   \n",
       "3466          1155770                   1.0              R    6000000.0   \n",
       "2837           790926                   1.0              R   13000000.0   \n",
       "66            1676169                   0.0          PG-13  185000000.0   \n",
       "4822           447785                   1.0      Not Rated     350000.0   \n",
       "\n",
       "      title_year  imdb_score  aspect_ratio  movie_facebook_likes  \\\n",
       "1937      1994.0         9.3          1.85                108000   \n",
       "3466      1972.0         9.2          1.85                 43000   \n",
       "2837      1974.0         9.0          1.85                 14000   \n",
       "66        2008.0         9.0          2.35                 37000   \n",
       "4822      1957.0         8.9          1.66                 40000   \n",
       "\n",
       "      Other_actors_facebook_likes  critic_review_ratio  imdb_binned_score  \n",
       "1937                       1206.0             0.048021                  4  \n",
       "3466                      13000.0             0.092940                  4  \n",
       "2837                      17000.0             0.229231                  4  \n",
       "66                        24000.0             0.138204                  4  \n",
       "4822                        512.0             0.199324                  4  "
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "#criando novas colunas para transformar os valores categóricos de content rating em valores numéricos\n",
    "df = pd.get_dummies(data = df, columns=['content_rating'], prefix=['content_rating'], drop_first=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>duration</th>\n",
       "      <th>director_facebook_likes</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>gross</th>\n",
       "      <th>num_voted_users</th>\n",
       "      <th>facenumber_in_poster</th>\n",
       "      <th>budget</th>\n",
       "      <th>title_year</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>aspect_ratio</th>\n",
       "      <th>...</th>\n",
       "      <th>content_rating_Not Rated</th>\n",
       "      <th>content_rating_PG</th>\n",
       "      <th>content_rating_PG-13</th>\n",
       "      <th>content_rating_Passed</th>\n",
       "      <th>content_rating_R</th>\n",
       "      <th>content_rating_TV-14</th>\n",
       "      <th>content_rating_TV-G</th>\n",
       "      <th>content_rating_TV-PG</th>\n",
       "      <th>content_rating_Unrated</th>\n",
       "      <th>content_rating_X</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1937</th>\n",
       "      <td>142.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>28341469.0</td>\n",
       "      <td>1689764</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25000000.0</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>9.3</td>\n",
       "      <td>1.85</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3466</th>\n",
       "      <td>175.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>134821952.0</td>\n",
       "      <td>1155770</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6000000.0</td>\n",
       "      <td>1972.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>1.85</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2837</th>\n",
       "      <td>220.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>57300000.0</td>\n",
       "      <td>790926</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13000000.0</td>\n",
       "      <td>1974.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.85</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>152.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>533316061.0</td>\n",
       "      <td>1676169</td>\n",
       "      <td>0.0</td>\n",
       "      <td>185000000.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.35</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4822</th>\n",
       "      <td>96.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>359.0</td>\n",
       "      <td>20000000.0</td>\n",
       "      <td>447785</td>\n",
       "      <td>1.0</td>\n",
       "      <td>350000.0</td>\n",
       "      <td>1957.0</td>\n",
       "      <td>8.9</td>\n",
       "      <td>1.66</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      duration  director_facebook_likes  actor_1_facebook_likes        gross  \\\n",
       "1937     142.0                      0.0                 11000.0   28341469.0   \n",
       "3466     175.0                      0.0                 14000.0  134821952.0   \n",
       "2837     220.0                      0.0                 22000.0   57300000.0   \n",
       "66       152.0                  22000.0                 23000.0  533316061.0   \n",
       "4822      96.0                      0.0                   359.0   20000000.0   \n",
       "\n",
       "      num_voted_users  facenumber_in_poster       budget  title_year  \\\n",
       "1937          1689764                   0.0   25000000.0      1994.0   \n",
       "3466          1155770                   1.0    6000000.0      1972.0   \n",
       "2837           790926                   1.0   13000000.0      1974.0   \n",
       "66            1676169                   0.0  185000000.0      2008.0   \n",
       "4822           447785                   1.0     350000.0      1957.0   \n",
       "\n",
       "      imdb_score  aspect_ratio  ...  content_rating_Not Rated  \\\n",
       "1937         9.3          1.85  ...                         0   \n",
       "3466         9.2          1.85  ...                         0   \n",
       "2837         9.0          1.85  ...                         0   \n",
       "66           9.0          2.35  ...                         0   \n",
       "4822         8.9          1.66  ...                         1   \n",
       "\n",
       "      content_rating_PG  content_rating_PG-13  content_rating_Passed  \\\n",
       "1937                  0                     0                      0   \n",
       "3466                  0                     0                      0   \n",
       "2837                  0                     0                      0   \n",
       "66                    0                     1                      0   \n",
       "4822                  0                     0                      0   \n",
       "\n",
       "      content_rating_R  content_rating_TV-14  content_rating_TV-G  \\\n",
       "1937                 1                     0                    0   \n",
       "3466                 1                     0                    0   \n",
       "2837                 1                     0                    0   \n",
       "66                   0                     0                    0   \n",
       "4822                 0                     0                    0   \n",
       "\n",
       "      content_rating_TV-PG  content_rating_Unrated  content_rating_X  \n",
       "1937                     0                       0                 0  \n",
       "3466                     0                       0                 0  \n",
       "2837                     0                       0                 0  \n",
       "66                       0                       0                 0  \n",
       "4822                     0                       0                 0  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "#salvando em arquivo csv\n",
    "df.to_csv('dados_imdb_com_nota.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "#escolhendo as colunas do dataframe que serão os valores de entrada para o modelo\n",
    "X=pd.DataFrame(columns=['duration', 'director_facebook_likes', 'actor_1_facebook_likes', 'gross', 'num_voted_users', \n",
    "                        'facenumber_in_poster', 'budget', 'title_year', 'aspect_ratio', 'movie_facebook_likes', \n",
    "                        'Other_actors_facebook_likes', 'critic_review_ratio', 'content_rating_G', 'content_rating_GP', \n",
    "                        'content_rating_M', 'content_rating_NC-17', 'content_rating_Not Rated', 'content_rating_PG',\n",
    "                        'content_rating_PG-13', 'content_rating_Passed', 'content_rating_R', 'content_rating_TV-14',\n",
    "                        'content_rating_TV-G', 'content_rating_TV-PG', 'content_rating_Unrated', 'content_rating_X'],data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "#escolhendo a coluna do dataframe que servira de resposta ao modelo\n",
    "y = pd.DataFrame(columns=['imdb_binned_score'], data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importando o pacote de divisão dos dados em treinamento e teste\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dividindo os dados em treinamento e teste\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "#normalizando os dados\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "sc_X = StandardScaler()\n",
    "X_train = sc_X.fit_transform(X_train)\n",
    "X_test = sc_X.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "duration                       0\n",
       "director_facebook_likes        0\n",
       "actor_1_facebook_likes         0\n",
       "gross                          0\n",
       "num_voted_users                0\n",
       "facenumber_in_poster           0\n",
       "budget                         0\n",
       "title_year                     0\n",
       "aspect_ratio                   0\n",
       "movie_facebook_likes           0\n",
       "Other_actors_facebook_likes    0\n",
       "critic_review_ratio            0\n",
       "content_rating_G               0\n",
       "content_rating_GP              0\n",
       "content_rating_M               0\n",
       "content_rating_NC-17           0\n",
       "content_rating_Not Rated       0\n",
       "content_rating_PG              0\n",
       "content_rating_PG-13           0\n",
       "content_rating_Passed          0\n",
       "content_rating_R               0\n",
       "content_rating_TV-14           0\n",
       "content_rating_TV-G            0\n",
       "content_rating_TV-PG           0\n",
       "content_rating_Unrated         0\n",
       "content_rating_X               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n",
      "[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.1s finished\n"
     ]
    }
   ],
   "source": [
    "#importando, configurando e treinando o modelo de regressão \n",
    "from sklearn.linear_model import LogisticRegression\n",
    "logit = LogisticRegression(verbose=1, max_iter=1000)\n",
    "logit.fit(X_train,np.ravel(y_train, order='C'))\n",
    "y_pred=logit.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([3, 3, 3, ..., 2, 3, 3], dtype=int64)"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando os valores preditos\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importando o pacote de métricas e calculando a matriz de confusão\n",
    "from sklearn import metrics\n",
    "cnf_matrix = metrics.confusion_matrix(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "#código para melhor visualização da matriz de confusão\n",
    "#alternativa:  print(cnf_matrix)\n",
    "import itertools\n",
    "def plot_confusion_matrix(cm, classes,\n",
    "                          normalize=False,\n",
    "                          title='Confusion matrix',\n",
    "                          cmap=plt.cm.Blues):\n",
    "    \"\"\"\n",
    "    This function prints and plots the confusion matrix.\n",
    "    Normalization can be applied by setting `normalize=True`.\n",
    "    \"\"\"\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(classes))\n",
    "    plt.xticks(tick_marks, classes, rotation=45)\n",
    "    plt.yticks(tick_marks, classes)\n",
    "\n",
    "    fmt = '.2f' if normalize else 'd'\n",
    "    thresh = cm.max() / 2.\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        plt.text(j, i, format(cm[i, j], fmt),\n",
    "                 horizontalalignment=\"center\",\n",
    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n",
    "    plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#imprimindo a matriz de confusão\n",
    "plot_confusion_matrix(cnf_matrix, classes=['1', '2', '3', '4'], title='Matriz de confusão não normalizada', normalize=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    3015\n",
       "2    1323\n",
       "4     203\n",
       "1     154\n",
       "Name: imdb_binned_score, dtype: int64"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#verificando valores existentes na coluna imdb binned score\n",
    "df['imdb_binned_score'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       0.00      0.00      0.00        45\n",
      "           2       0.55      0.41      0.47       392\n",
      "           3       0.74      0.87      0.80       904\n",
      "           4       0.80      0.54      0.65        68\n",
      "\n",
      "    accuracy                           0.70      1409\n",
      "   macro avg       0.52      0.46      0.48      1409\n",
      "weighted avg       0.66      0.70      0.67      1409\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#imprimindo as métricas finais\n",
    "print(metrics.classification_report(y_test, y_pred, target_names=['1', '2', '3', '4']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importante o pacote para salvar o modelo\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "#definindo o caminho para salvar o modelo\n",
    "modelo_treinado = 'modelo_imdb.sav'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "#salvando o modelo\n",
    "pickle.dump(logit, open(modelo_treinado, 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "#carregando o modelo treinado\n",
    "modelo_carregado = pickle.load(open(modelo_treinado, 'rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.11125319,  0.12234245, -0.47077098, -0.55187155,  0.102644  ,\n",
       "       -0.18064455, -0.29363035,  0.56016395, -0.41895874,  0.10788607,\n",
       "       -0.40176212,  0.17842293, -0.14967295, -0.04276995, -0.03491087,\n",
       "       -0.04276995, -0.14093771, -0.41056461, -0.65997074, -0.03903749,\n",
       "        1.05121875, -0.0302291 , -0.0302291 , -0.01744746, -0.11240473,\n",
       "       -0.05240624])"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Olhando o conteúdo de um vetor de teste\n",
    "X_test[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([3], dtype=int64)"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#realizando a predição do novo dado com o modelo carregado\n",
    "modelo_carregado.predict([X_test[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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",
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