Data Preparation and EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "99db1143",
   "metadata": {},
   "source": [
    "# Movie Dataset Recommender System \n",
    "[Dataset on kaggle](https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset)\n",
    "\n",
    "### Contents\n",
    "* Data understanding and EDA\n",
    "* Data preparation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "01c2a78e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import ast\n",
    "import random\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(font_scale=1.4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c92b2a3",
   "metadata": {},
   "source": [
    "# Loading Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "caece4dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ACER\\AppData\\Local\\Temp\\ipykernel_8324\\1532675202.py:1: DtypeWarning: Columns (10) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  data = pd.read_csv('movies_metadata.csv')\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv('movies_metadata.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "446d52dc",
   "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>adult</th>\n",
       "      <th>belongs_to_collection</th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>...</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>video</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>{'id': 10194, 'name': 'Toy Story Collection', ...</td>\n",
       "      <td>30000000</td>\n",
       "      <td>[{'id': 16, 'name': 'Animation'}, {'id': 35, '...</td>\n",
       "      <td>http://toystory.disney.com/toy-story</td>\n",
       "      <td>862</td>\n",
       "      <td>tt0114709</td>\n",
       "      <td>en</td>\n",
       "      <td>Toy Story</td>\n",
       "      <td>Led by Woody, Andy's toys live happily in his ...</td>\n",
       "      <td>...</td>\n",
       "      <td>1995-10-30</td>\n",
       "      <td>373554033.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Toy Story</td>\n",
       "      <td>False</td>\n",
       "      <td>7.7</td>\n",
       "      <td>5415.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   adult                              belongs_to_collection    budget  \\\n",
       "0  False  {'id': 10194, 'name': 'Toy Story Collection', ...  30000000   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [{'id': 16, 'name': 'Animation'}, {'id': 35, '...   \n",
       "\n",
       "                               homepage   id    imdb_id original_language  \\\n",
       "0  http://toystory.disney.com/toy-story  862  tt0114709                en   \n",
       "\n",
       "  original_title                                           overview  ...  \\\n",
       "0      Toy Story  Led by Woody, Andy's toys live happily in his ...  ...   \n",
       "\n",
       "  release_date      revenue runtime                          spoken_languages  \\\n",
       "0   1995-10-30  373554033.0    81.0  [{'iso_639_1': 'en', 'name': 'English'}]   \n",
       "\n",
       "     status  tagline      title  video vote_average vote_count  \n",
       "0  Released      NaN  Toy Story  False          7.7     5415.0  \n",
       "\n",
       "[1 rows x 24 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d147790e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45466, 24)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "102c97e6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 45466 entries, 0 to 45465\n",
      "Data columns (total 24 columns):\n",
      " #   Column                 Non-Null Count  Dtype  \n",
      "---  ------                 --------------  -----  \n",
      " 0   adult                  45466 non-null  object \n",
      " 1   belongs_to_collection  4494 non-null   object \n",
      " 2   budget                 45466 non-null  object \n",
      " 3   genres                 45466 non-null  object \n",
      " 4   homepage               7782 non-null   object \n",
      " 5   id                     45466 non-null  object \n",
      " 6   imdb_id                45449 non-null  object \n",
      " 7   original_language      45455 non-null  object \n",
      " 8   original_title         45466 non-null  object \n",
      " 9   overview               44512 non-null  object \n",
      " 10  popularity             45461 non-null  object \n",
      " 11  poster_path            45080 non-null  object \n",
      " 12  production_companies   45463 non-null  object \n",
      " 13  production_countries   45463 non-null  object \n",
      " 14  release_date           45379 non-null  object \n",
      " 15  revenue                45460 non-null  float64\n",
      " 16  runtime                45203 non-null  float64\n",
      " 17  spoken_languages       45460 non-null  object \n",
      " 18  status                 45379 non-null  object \n",
      " 19  tagline                20412 non-null  object \n",
      " 20  title                  45460 non-null  object \n",
      " 21  video                  45460 non-null  object \n",
      " 22  vote_average           45460 non-null  float64\n",
      " 23  vote_count             45460 non-null  float64\n",
      "dtypes: float64(4), object(20)\n",
      "memory usage: 8.3+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b23ad6ee",
   "metadata": {},
   "source": [
    "# Removing Duplicated Records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "838d12c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0d95e447",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6f56d024",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45453, 24)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28deda0f",
   "metadata": {},
   "source": [
    "# Data Understanding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8bc170a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def dist_graphs(df, nGraphShown, nGraphPerRow):\n",
    "    nunique = df.nunique()\n",
    "    nRow, nCol = df.shape\n",
    "    columnNames = list(df)\n",
    "    nGraphRow = int((nCol + nGraphPerRow - 1) / nGraphPerRow)\n",
    "    plt.figure(num = None, figsize = (6 * nGraphPerRow, 6 * nGraphRow), dpi = 80, facecolor = 'w', edgecolor = 'k')\n",
    "    for i in range(min(nCol, nGraphShown)):\n",
    "        plt.subplot(nGraphRow, nGraphPerRow, i + 1)\n",
    "        columnDf = df.iloc[:, i]\n",
    "        if (not np.issubdtype(type(columnDf.iloc[0]), np.number)):\n",
    "            valueCounts = columnDf.value_counts()\n",
    "            valueCounts.plot.bar()\n",
    "        else:\n",
    "            columnDf.hist()\n",
    "        plt.ylabel('counts')\n",
    "        plt.xticks(rotation = 90)\n",
    "        plt.title(f'{columnNames[i]}')\n",
    "    plt.tight_layout(pad = 1.0, w_pad = 1.0, h_pad = 1.0)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ab28396b",
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = data.columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "01fc3eb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "adult                        5\n",
       "belongs_to_collection     1698\n",
       "budget                    1226\n",
       "genres                    4069\n",
       "homepage                  7673\n",
       "id                       45436\n",
       "imdb_id                  45417\n",
       "original_language           92\n",
       "original_title           43373\n",
       "overview                 44307\n",
       "popularity               44176\n",
       "poster_path              45024\n",
       "production_companies     22708\n",
       "production_countries      2393\n",
       "release_date             17336\n",
       "revenue                   6863\n",
       "runtime                    353\n",
       "spoken_languages          1931\n",
       "status                       6\n",
       "tagline                  20283\n",
       "title                    42277\n",
       "video                        2\n",
       "vote_average                92\n",
       "vote_count                1820\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b5a3694e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['False', 'True', ' - Written by Ørnås',\n",
       "       ' Rune Balot goes to a casino connected to the October corporation to try to wrap up her case once and for all.',\n",
       "       ' Avalanche Sharks tells the story of a bikini contest that turns into a horrifying affair when it is hit by a shark avalanche.'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['adult'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a567aff",
   "metadata": {},
   "source": [
    "3 Wrong values for this feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "802ebb68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data[data['adult'] == 'True'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a2e39ba4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "belongs_to_collection    90.112864\n",
       "dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['belongs_to_collection']].isna().sum() / len(data) * 100"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08883645",
   "metadata": {},
   "source": [
    "90% missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "da497593",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['budget'] = pd.to_numeric(data['budget'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "eed7b20b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 480x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dist_graphs(data[['budget']], 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2934e52d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8044353508019273"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(len(data[data['budget'] == 0]) + len(data[data['budget'].isna()])) / len(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ff0fb9e",
   "metadata": {},
   "source": [
    "80% missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ff57065a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45453, 21)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(['budget', 'belongs_to_collection', 'adult'], axis=1, inplace=True)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d38a2584",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"[{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]\""
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['genres'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e8e35e5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def json_to_list(row, want='name'):\n",
    "    new_list = ast.literal_eval(row)    \n",
    "    if new_list == [] or isinstance(new_list, float):\n",
    "        return (np.nan)\n",
    "    else:\n",
    "        inner = []\n",
    "        for j in new_list:\n",
    "            inner.append(j[want])\n",
    "        return (inner)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e011bd94",
   "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>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>poster_path</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>...</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>video</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[Animation, Comedy, Family]</td>\n",
       "      <td>http://toystory.disney.com/toy-story</td>\n",
       "      <td>862</td>\n",
       "      <td>tt0114709</td>\n",
       "      <td>en</td>\n",
       "      <td>Toy Story</td>\n",
       "      <td>Led by Woody, Andy's toys live happily in his ...</td>\n",
       "      <td>21.946943</td>\n",
       "      <td>/rhIRbceoE9lR4veEXuwCC2wARtG.jpg</td>\n",
       "      <td>[{'name': 'Pixar Animation Studios', 'id': 3}]</td>\n",
       "      <td>...</td>\n",
       "      <td>1995-10-30</td>\n",
       "      <td>373554033.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Toy Story</td>\n",
       "      <td>False</td>\n",
       "      <td>7.7</td>\n",
       "      <td>5415.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        genres                              homepage   id  \\\n",
       "0  [Animation, Comedy, Family]  http://toystory.disney.com/toy-story  862   \n",
       "\n",
       "     imdb_id original_language original_title  \\\n",
       "0  tt0114709                en      Toy Story   \n",
       "\n",
       "                                            overview popularity  \\\n",
       "0  Led by Woody, Andy's toys live happily in his ...  21.946943   \n",
       "\n",
       "                        poster_path  \\\n",
       "0  /rhIRbceoE9lR4veEXuwCC2wARtG.jpg   \n",
       "\n",
       "                             production_companies  ... release_date  \\\n",
       "0  [{'name': 'Pixar Animation Studios', 'id': 3}]  ...   1995-10-30   \n",
       "\n",
       "       revenue  runtime                          spoken_languages    status  \\\n",
       "0  373554033.0     81.0  [{'iso_639_1': 'en', 'name': 'English'}]  Released   \n",
       "\n",
       "  tagline      title  video vote_average  vote_count  \n",
       "0     NaN  Toy Story  False          7.7      5415.0  \n",
       "\n",
       "[1 rows x 21 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['genres']] = data[['genres']].applymap(json_to_list)\n",
    "data.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ecd8779e",
   "metadata": {},
   "source": [
    "# All genres of movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "df374c26",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_all_items(df, col):\n",
    "    all_items = {}\n",
    "    for row in df[col]:\n",
    "        counter = 0\n",
    "        if row == np.nan or isinstance(row, float) :\n",
    "            continue\n",
    "        for single_value in row:  \n",
    "            value = all_items.get(single_value)\n",
    "            if value == None:\n",
    "                all_items[single_value] = counter + 1\n",
    "            else:\n",
    "                all_items[single_value] = value + 1\n",
    "    return all_items"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d8ac4aab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_genres = get_all_items(data , 'genres')\n",
    "len(all_genres)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "aa38f263",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_genres = dict(sorted(all_genres.items(), key=lambda item: item[1], reverse=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bcbcaf97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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j8ePH2LBhAxo3blxkgoyIiOh7xyQWERER/SNOTk44cOAAIiIisH//fqxduxYfP35EhQoV4OjoiJ9//lkuETF27FiYmJhg69at2LRpEwwMDGBvb4/x48ejfPny/zqeWrVqYdu2bVixYgVmzJgBqVSK6tWrY8WKFbIm7C1atIC/vz9CQkIwfvx4SKVSWFtbY8OGDZ+tKgoICMDy5csREhKCv//+Gy1btsSIESOKTGaYmJggLCwMK1aswNy5c/H333+jWrVqWLBggaxxd82aNeHi4oKtW7ciKSkJ69evL/bXWqZMGcyYMQNLly5FSkoK6tati82bN6NGjRqyYxYvXox58+bB19cXOjo66NKlC8aPHw8vLy/ZMU2aNIGDgwNWrFiB5ORkzJkzR24cY2NjREREYNmyZfDz80NWVhYsLCzkVmr8pyQSCYKDgxEQEIBt27bh9evXqFixIn799Ve4u7v/q3MX19d8fdWqVUP9+vVx7969IhOeBYpzrfv6+iIgIABbtmzBixcvULZsWbRu3RoTJkxQ2ddLRET0XyeRftollYiIiIiIiIiISGTYE4uIiIiIiIiIiESPSSwiIiIiIiIiIhI9JrGIiIiIiIiIiEj0mMQiIiIiIiIiIiLRYxKLiIiIiIiIiIhEj0ksIiIiIiIiIiISPU11B/Bf9vbt38jLk6o7DCIiIiIiIiKi/zwNDQnKlStV5H4msf6FvDwpk1hERERERERERALgdEIiIiIiIiIiIhI9JrGIiIiIiIiIiEj0mMQiIiIiIiIiIiLRYxKLiIiIiIiIiIhEj0ksIiIiIiIiIiISPSaxiIiIiIiIiIhI9JjEIiIiIiIiIiIi0WMSi4iIiIiIiIiIRE/wJFZaWhoWLFgAJycnNGjQAN27d0dMTIxsf2JiIgYMGID69eujZcuWCA0Nlfv8vLw8BAQEoHnz5qhXrx6GDBmChw8fyh3zLc5BRERERERERETioSn0gNOnT8etW7fg6+uLihUr4tChQxg9ejTCwsJgYWGBQYMGoW3btvDx8UFCQgJ8fHxQunRp9OrVCwAQFBSEiIgILFq0CKampli2bBnc3d1x8OBBlCxZEm/evPnX5/gnDMvooIS21jf7Pn3Jx+wcvHmXKdh4RERERERERETqJJFKpVKhBnv58iUcHBwQHByMli1byrb/8ssvMDIyQs2aNbFlyxacOHECmpr5+bUVK1bgwIEDOHbsGLKzs2Fvb49JkyahX79+APIruxwcHODj44Nu3bph7dq1//ocxfX6dRry8vK/fcbGpfFyzZZv8F0qHuMR/fHy5QfBxiMiIiIiIiIiUiUNDQnKl9cver+AsUBXVxfr16+Hra2t3HaJRIJ3794hLi4Otra2suQTANjb2yM5ORkpKSlITExEeno6GjduLNuvr6+POnXqIC4uDgC+yTmIiIiIiIiIiEhcBE1i6evro0WLFtDX/7+s2pUrV3D+/Hm0bNkSKSkpMDMzk/scExMTAMCzZ8+QkpICADA1NVU45tmzZwDwTc5BRERERERERETiInhPrMKSkpIwevRo1KtXDz///DM2btwIbW1tuWMKPs7KykJGRobctsLHZGdnAwAyMzP/9TmK63MlbkIwNi6t1vGJiIiIiIiIiISitiTWxYsXMXr0aFSoUAHBwcHQ0tKCjo6OQiKp4GM9PT3o6OjIthVOQmVnZ0NPTw8Avsk5iuvTnlhCY08sIiIiIiIiIvpfIaqeWAWioqIwePBg/PTTT9i8eTPKli0LADAzM8OLFy/kji342MzMDObm5nLbCh9TMD3wW5yDiIiIiIiIiIjERfAk1v79+zFlyhR07NgRwcHBcv2x7OzscOnSJeTm5sq2nT9/HlWrVoWxsTEsLS2hr6+P2NhY2f60tDTcuHEDjRo1+mbnICIiIiIiIiIicRE0ifX8+XN4eXnB3t4ekydPRmpqKl6+fImXL18iNTUVbm5uyMjIwIwZM3D37l1ERkYiPDwcw4YNA5Dft6p///7w9/fHsWPHcPPmTYwfPx6mpqZo164dAHyTcxARERERERERkbgI2hPr6NGjyMjIwPnz59G8eXO5fQ0bNkRERARCQ0Mxf/58uLq6wtjYGBMnTkT37t1lx40dOxYfP37E7NmzkZGRARsbG4SEhMj6W5UvX/5fn4OIiIiIiIiIiMRFIpVKpeoO4r/q08buL9dsEWxs4xH92didiIiIiIiIiP5niLKxOxERERERERER0ddgEouIiIiIiIiIiESPSSwiIiIiIiIiIhI9JrGIiIiIiIiIiEj0mMQiIiIiIiIiIiLRYxKLiIiIiIiIiIhEj0ksIiIiIiIiIiISPSaxiIiIiIiIiIhI9JjEIiIiIiIiIiIi0WMSi4iIiIiIiIiIRI9JLCIiIiIiIiIiEj0msYiIiIiIiIiISPSYxCIiIiIiIiIiItFjEouIiIiIiIiIiESPSSwiIiIiIiIiIhI9JrGIiIiIiIiIiEj0mMQiIiIiIiIiIiLRYxKLiIiIiIiIiIhEj0ksIiIiIiIiIiISPSaxiIiIiIiIiIhI9JjEIiIiIiIiIiIi0WMSi4iIiIiIiIiIRI9JLCIiIiIiIiIiEj0msYiIiIiIiIiISPSYxCIiIiIiIiIiItFjEouIiIiIiIiIiESPSSwiIiIiIiIiIhI9JrGIiIiIiIiIiEj0mMQiIiIiIiIiIiLRYxKLiIiIiIiIiIhEj0ksIiIiIiIiIiISPSaxiIiIiIiIiIhI9JjEIiIiIiIiIiIi0WMSi4iIiIiIiIiIRI9JLCIiIiIiIiIiEj0msYiIiIiIiIiISPSYxCIiIiIiIiIiItFjEouIiIiIiIiIiESPSSwiIiIiIiIiIhI9JrGIiIiIiIiIiEj0mMQiIiIiIiIiIiLRYxKLiIiIiIiIiIhEj0ksIiIiIiIiIiISPSaxiIiIiIiIiIhI9JjEIiIiIiIiIiIi0WMSi4iIiIiIiIiIRI9JLCIiIiIiIiIiEj0msYiIiIiIiIiISPSYxCIiIiIiIiIiItFjEouIiIiIiIiIiESPSSwiIiIiIiIiIhI9JrGIiIiIiIiIiEj01JrECg4ORp8+feS2TZgwARYWFnL/WrRoIdufl5eHgIAANG/eHPXq1cOQIUPw8OFDuXMkJiZiwIABqF+/Plq2bInQ0FC5/cU5BxERERERERERiYfaklhbt26Fv7+/wvZbt25h7NixOH36tOxfZGSkbH9QUBAiIiLg6+uL3377DSVKlIC7uzuysrIAAG/evMGgQYNQpUoV7N69G+PGjUNAQAB27NhR7HMQEREREREREZG4CJ7ESklJwfDhw7F06VJUq1ZNbl92djYePHgAa2trGBsby/4ZGhrK9oeFhWH06NFwdHSEpaUl/P398erVKxw6dAgAsGPHDmhpacHHxwfVq1eHq6srBg8ejHXr1hX7HEREREREREREJC6CJ7GuX7+OUqVKISoqCvXq1ZPbl5SUhNzcXNSoUUPp5yYmJiI9PR2NGzeWbdPX10edOnUQFxcHAIiLi4OtrS00NTVlx9jb2yM5ORkpKSnFOgcREREREREREYmL5pcP+bacnJzg5OSkdN+tW7egqamJ4OBgnDp1CiVKlICjoyPGjRuH0qVLIyUlBQBgamoq93kmJiZ49uwZgPxKr0+TYCYmJgCAZ8+e4cWLF188BxERERERERERiYvgSazPuXPnDgCgUqVKWLt2LR4+fIjFixfj5s2b2LRpEzIyMgAA2tracp+nra2N7OxsAEBmZqbS/QCQlZVVrHMUV/ny+l91/LdmbFxareMTEREREREREQlFVEmsiRMnYtiwYTAwMAAA1KpVC0ZGRujduzeuXLkCHR0dAPl9rQonobKzs6GnpwcA0NHRUUhGFXysp6dXrHMU1+vXacjLkwJQT0Lp5csPgo9JRERERERERKQKGhqSzxYMqW11QmU0NDRkCawCFhYWAPKnApqbmwOAbEpggRcvXsimB5qZmSndX7CvOOcgIiIiIiIiIiJxEVUSa9SoURgxYoTctoSEBABAjRo1YGlpCX19fcTGxsr2p6Wl4caNG2jUqBEAwM7ODpcuXUJubq7smPPnz6Nq1aowNjYu1jmIiIiIiIiIiEhcRJXE6tSpE44fP45169bh0aNHOHHiBGbMmIH27dvDwsIC2tra6N+/P/z9/XHs2DHcvHkT48ePh6mpKdq1awcAcHNzQ0ZGBmbMmIG7d+8iMjIS4eHhGDZsGAAU6xxERERERERERCQuouqJ1blzZ+Tl5SEkJARBQUEoXbo0OnfujPHjx8uOGTt2LD5+/IjZs2cjIyMDNjY2CAkJkfW3Kl++PEJDQzF//ny4urrC2NgYEydORPfu3Yt9DiIiIiIiIiIiEheJVCqVqjuI/6pPG7u/XLNFsLGNR/RnY3ciIiIiIiIi+p/xn2rsTkREREREREREpAyTWEREREREREREJHrFTmJdvnwZ8fHxAICUlBQMHz4cXbt2xdq1a1UWHBEREREREREREVDMJNbBgwfRr18/HDlyBADg7e2NCxcuoGLFiggMDERYWJhKgyQiIiIiIiIiou9bsZJYoaGh6NChAyZPnozU1FScOnUKI0eOxNq1azFq1Cjs3LlT1XESEREREREREdF3rFhJrKSkJPTo0QMlSpTA2bNnkZeXh7Zt2wIA6tevjydPnqg0SCIiIiIiIiIi+r4VK4mlp6eHrKwsAMDp06dhbm6OqlWrAsjvj2VgYKCyAImIiIiIiIiIiDSLc5CNjQ1CQ0ORkZGBQ4cO4eeffwYAXLt2DWvWrIGdnZ1KgyQiIiIiIiIiou9bsSqxpk2bhjdv3mDixIn44Ycf4OnpCQAYPnw48vLyMGHCBJUGSURERERERERE37diVWJVqlQJ0dHRePPmDcqXLy/bHhQUhDp16kBbW1tlARIRERERERERERUriQUAEokEpUuXRlxcHFJSUuDg4AAzMzMmsIiIiIiIiIiISOWKncSKiIjAihUr8O7dO0gkEuzatQvLly8HAAQGBkJXV1dlQRIRERERERER0fetWD2xIiMjMWfOHLRv3x7BwcGQSqUAAFdXV1y+fBmBgYEqDZKIiIiIiIiIiL5vxarECgkJQZ8+feDt7Y2PHz/Ktnfp0gXPnz9HREQEJk+erLIgiYiIiIiIiIjo+1asSqyHDx+iVatWSvf99NNPePny5TcNioiIiIiIiIiIqLBiJbGMjIxw69Ytpfvu3LkDIyOjbxoUERERERERERFRYcWaTti5c2esXr0apqamcHJyApC/WuGVK1cQHByMbt26qTJG+kqGZXRQQltLkLE+ZufgzbtMQcYiIiIiIiIiou9XsZJYY8eOxZ07dzBlyhRIJBIAQL9+/ZCZmQk7OzuMHTtWpUHS1ymhrYUXa1cJMpbJ8DEAmMQiIiIiIiIiItUqVhJLW1sbwcHBOHv2LM6dO4fU1FSULl0a9vb2aNGihSyxRUREREREREREpArFSmIVaNq0KZo2baqqWIiIiIiIiIiIiJQqMok1ZcoUjBo1ClWqVMGUKVM+exKJRILFixd/8+CIiIiIiIiIiIiAzySx4uLikJaWJvv/53A6IRERERERERERqVKRSazjx48r/T8REREREREREZHQNIpz0JQpU3D27FlIpVJVx0NERERERERERKSgWI3d4+PjERUVBRMTEzg7O8PFxQU1a9ZUdWxEREREREREREQAilmJ9fvvv2P79u1o164d9u7dC2dnZ7i6umLjxo14/fq1qmMkIiIiIiIiIqLvXLGSWABQv359zJo1C6dOncK6detgYWGBwMBAODo6Yvjw4aqMkYiIiIiIiIiIvnPFmk5YmIaGBpo0aYK8vDwAwP79+3H+/PlvHhgREREREREREVGBr0piXbhwAQcOHMDRo0fx/v17NGzYEN7e3ujUqZOq4iMiIiIiIiIiIipeEmvhwoU4dOgQXr58iUqVKmHAgAFwcXFB5cqVVR0fERERERERERFR8ZJYe/bsQYcOHeDi4gJbW1tVx0RERERERERERCSnWEmsM2fOQFtbW9WxEBERERERERERKVWsJJa2tjaSkpKwcuVKXLhwAWlpaShbtixsbGwwZswY1KxZU9VxEhERERERERHRd6xYSazbt2+jd+/e0NLSgpOTE4yMjPDixQucOHECp06dwo4dO5jIIiIiIiIiIiIilSlWEmvZsmWoWLEitm7dCgMDA9n29+/fY8CAAVixYgWCgoJUFiQREREREREREX3fNIpzUFxcHEaMGCGXwAIAAwMDeHp64uLFiyoJjoiIiIiIiIiICChmEktLSwtaWlpK92lrayMnJ+ebBkVERERERERERFRYsZJY1tbW2Lp1K/Ly8uS25+XlYfPmzbCyslJJcEREREREREREREAxe2KNGzcOvXv3RufOndGhQwcYGRnh1atXOHz4MJKTk7FhwwZVx0lERERERERERN+xYiWxrKysEBISgmXLlmHt2rWQSqWQSCSwsrLC+vXrYWdnp+o4iYiIiIiIiIjoO1asJBYANG7cGDt37kRGRgbev38PAwMD6OrqqjI2IiIiIiIiIiIiAF+RxMrMzMS9e/fw7t07pfubNGnyzYIiIiIiIiIiIiIqrFhJrHPnzmHChAlITU2FVCqVbZdIJLKphYmJiSoLkoiIiIiIiIiIvm/FSmItXLgQZcuWhbe3N8qVKweJRKLquIiIiIiIiIiIiGSKlcR6+PAhli5dirZt26o6HiIiIiIiIiIiIgUaxTnoxx9/RFpamqpjISIiIiIiIiIiUqpYSayJEyciKCgIp0+fRlpaGvLy8hT+ERERERERERERqUqxphNWrFgRJUqUwNChQ5Xul0gkuHHjxjcNjIiIiIiIiIiIqECxkljTp0/Hmzdv0LNnT5iYmKg6JiIiIiIiIiIiIjnFSmIlJiZi/vz56NKli6rjISIiIiIiIiIiUlCsnlimpqbQ1tZWdSxERERERERERERKFSuJNWzYMAQEBODOnTuqjoeIiIiIiIiIiEhBsZJYBw4cwPPnz+Hs7AxbW1s4OjqiZcuWsn+tWrX6R4MHBwejT58+ctsSExMxYMAA1K9fHy1btkRoaKjc/ry8PAQEBKB58+aoV68ehgwZgocPH37zcxARERERERERkXgUqyeWmZkZzMzMvunAW7duhb+/Pxo0aCDb9ubNGwwaNAht27aFj48PEhIS4OPjg9KlS6NXr14AgKCgIERERGDRokUwNTXFsmXL4O7ujoMHD6JkyZLf5BxERERERERERCQuxUpiLVy48JsNmJKSAm9vb1y4cAHVqlWT27djxw5oaWnBx8cHmpqaqF69Oh4+fIh169ahV69eyM7ORlhYGCZNmgRHR0cAgL+/PxwcHHDo0CF069btm5yDiIiIiIiIiIjEpVjTCb+l69evo1SpUoiKikK9evXk9sXFxcHW1haamv+XW7O3t0dycjJSUlKQmJiI9PR0NG7cWLZfX18fderUQVxc3Dc7BxERERERERERiUuxKrG+JScnJzg5OSndl5KSgho1ashtMzExAQA8e/YML168AJC/WuKnxzx79uybnYOIiIiIiIiIiMRF8CTW52RmZkJbW1tuW8HHWVlZyMjIkNtW+Jjs7Oxvdo7iKl9e/6uO/9aMjUurdfwCYomDiIiIiIiIiP53FZnEysrKErzJuY6OjkIiqeBjPT096OjoyLYVTkJlZ2dDT0/vm52juF6/TkNenhSAehI5L19+ULpd6FiKioOIiIiIiIiIqLg0NCSfLRgqsieWk5OTrEdUYGAgnj9//u2j+4SZmZlsul+Bgo/NzMxgbm4ut63wMQXTA7/FOYiIiIiIiIiISFyKTGJ9+PABqampAICgoCBB+kXZ2dnh0qVLyM3NlW07f/48qlatCmNjY1haWkJfXx+xsbGy/Wlpabhx4wYaNWr0zc5BRERERERERETiUuR0wpo1a2L69OkICwuDVCqFj48P9PWVl3RJJBJs2bLlXwfj5uaGkJAQzJgxA56envjrr78QHh4Ob29vAPl9q/r37w9/f38YGRmhUqVKWLZsGUxNTdGuXbtvdg4iIiIiIiIiIhKXIpNYixYtwqpVq5CamgqJRAINDQ1oaBRZuPVNlC9fHqGhoZg/fz5cXV1hbGyMiRMnonv37rJjxo4di48fP2L27NnIyMiAjY0NQkJCZP2tvsU5iIiIiIiIiIhIXCRSqVT6pYMsLS2xbds2NGzYUIiY/jM+bez+cs2/r0YrLuMR/T/b2P3F2lWCxGEyfAwbuxMRERERERHRv/alxu5FVmIVdvPmTQBAXl4e7t69i/fv36NcuXL48ccfIZFIvk2kRERERERERERERShWEgsAIiMjsWTJErx580a2zdDQEBMmTICbm5tKgiMiIiIiIiIiIgKKmcQ6duwYpk2bBnt7e3Tr1g1GRkZISUlBVFQUZs2ahbJly6J169aqjpWIiIiIiIiIiL5TxUpirVmzBu3atUNAQIDc9h49emDs2LFYv349k1hERERERERERKQyxVpu8O7du3B1dVW6z9XVFbdu3fqmQRERERERERERERVWrCSWoaEhUlNTle578+YNtLW1v2VMREREREREREREcoqVxGrSpAkCAwORnJwstz05ORlBQUFo1qyZSoIjIiIiIiIiIiICitkTa/z48XBzc0OnTp1Qt25dGBkZ4dWrV0hISECZMmUwceJEVcdJRERERERERETfsWJVYhkbG2Pv3r0YOHAgcnJycPPmTeTk5GDgwIGIjIxExYoVVR0nERERERERERF9x4pViQUA5cuXx+TJk1UZCxERERERERERkVLFqsQiIiIiIiIiIiJSJyaxiIiIiIiIiIhI9JjEIiIiIiIiIiIi0WMSi4iIiIiIiIiIRI9JLCIiIiIiIiIiEr1/ncR69uwZAgMDv0UsRERERERERERESv3rJNbTp0+ZxCIiIiIiIiIiIpX610ksa2trxMTEfItYiIiIiIiIiIiIlPrXSSxtbW1UrFjxW8RCRERERERERESklGZxD8zKysLOnTsRGxuL9+/fo1y5crC1tUX37t2hq6uryhiJiIiIiIiIiOg7V6wkVmpqKgYOHIjbt2+jQoUKMDY2xsOHD3Ho0CFs27YNERERMDAwUHWsRERERERERET0nSrWdMLly5cjJSUFmzdvxvHjx/Hbb7/hjz/+wObNm/H69WusWLFCxWESEREREREREdH3rFhJrJiYGIwdOxZ2dnZy2+3s7DBmzBgcO3ZMJcEREREREREREREBxZxOmJ6ejkqVKindV6lSJaSmpn7LmOh/hGGZkiihrS3YeB+zs/HmXZZg4xERERERERGRcIqVxKpevTqOHz8OR0dHhX0xMTGoUqXKNw+M/vtKaGvj2eqpgo1nPnIxACaxiIiIiIiIiP4XFSuJNWTIEEyYMAEfP35E586dYWxsjJcvX+LAgQPYs2cPfHx8VBwmERERERERERF9z4qVxOrUqRMePHiAtWvXYvfu3QAAqVQKbW1tjBo1Cj///LNKgyQiIiIiIiIiou9bsZJYADBy5Ej0798f8fHxeP/+PcqUKYN69eqhTJkyqoyPiIiIiIiIiIio+EksADAwMFDaF4uIiIiIiIiIiEiVikxiDRw4sNgnkUgk2Lhx4zcJiIiIiIiIiIiI6FNFJrFycnIgkUg++8m3b99GWloaSpQo8c0DIyIiIiIiIiIiKlBkEisiIqLIT0pLS8OiRYtw+fJlVK1aFYsWLVJJcERERERERERERMBX9sQCgPPnz2PGjBl4/vw5Bg4ciIkTJ6JkyZKqiI2IiIiIiIiIiAjAVySxMjMzsWTJEkRERKBixYrYtGkTbG1tVRkbERERERERERERgGImseLi4jBjxgwkJyejT58+mDx5MnR1dVUdG9E3U66MNjS1hasYzM3Owtt32YKNR0RERERERPS/7rNJrOzsbCxfvhwbN26Eubk5NmzYgMaNGwsVG9E3o6ldEncDXQQbr8bofQCYxCIiIiIiIiL6VopMYiUkJGDq1Kl48OABevbsiWnTpkFPT0/I2Ij+J7EqjIiIiIiIiOjrFZnE6tOnD/Ly8lC6dGkkJSVh6NChRZ5EIpFgy5YtKgmQ6H+NpnZJXAzuKth4dsP2g1VhRERERERE9F9XZBKrYcOGQsZBRERERERERERUpCKTWJs3bxYyDiIiIiIiIiIioiJpqDsAIiIiIiIiIiKiL2ESi4iIiIiIiIiIRI9JLCIiIiIiIiIiEj0msYiIiIiIiIiISPSYxCIiIiIiIiIiItFjEouIiIiIiIiIiESPSSwiIiIiIiIiIhI9JrGIiIiIiIiIiEj0mMQiIiIiIiIiIiLRYxKLiIiIiIiIiIhEj0ksIiIiIiIiIiISPSaxiIiIiIiIiIhI9ESXxLp37x4sLCwU/u3cuRMAkJiYiAEDBqB+/fpo2bIlQkND5T4/Ly8PAQEBaN68OerVq4chQ4bg4cOHcsd86RxERERERERERCQumuoO4FO3bt2Cvr4+Dh8+LLe9dOnSePPmDQYNGoS2bdvCx8cHCQkJ8PHxQenSpdGrVy8AQFBQECIiIrBo0SKYmppi2bJlcHd3x8GDB1GyZMlinYOIiIiIiIiIiMRFdEms27dvo3r16jA2NlbYFx4eDi0tLfj4+EBTUxPVq1fHw4cPsW7dOvTq1QvZ2dkICwvDpEmT4OjoCADw9/eHg4MDDh06hG7dumHHjh2fPQcREREREREREYmP6KYT3rp1C9WrV1e6Ly4uDra2ttDU/L/cm729PZKTk5GSkoLExESkp6ejcePGsv36+vqoU6cO4uLiinUOIiIiIiIiIiISH1FWYlWpUgW9e/fGo0ePULVqVYwcORIODg5ISUlBjRo15I43MTEBADx79gwvXrwAAJiamioc8+zZMwD44jk+/dzPKV9e/+u+uG/M2Li0WscvIJY4AMZSFDHFQkRERERERPRPiCqJlZ6ejsePH8PQ0BATJ05EqVKlEBUVBQ8PD4SFhSEzMxPa2tpyn1PwcVZWFjIyMuS2FT4mOzsbAL54jq/x+nUa8vKkANSTJHj58oPS7ULHIpY4AMZSlKJiISIiIiIiIhILDQ3JZwuGRJXE0tPTw6VLl6ClpSVLLFlZWSEpKQkhISHQ0dGRJaMKFHysp6cHHR0d2bbCiars7Gzo6ekBwBfPQURERERERERE4iO6nlilSpVSqJSqVasWnj59CjMzM9mUwQIFH5uZmcHc3FxuW+FjCqYJfukcREREREREREQkPqJKYsXHx6NBgwZISEiQ2/7XX3+hZs2asLOzw6VLl5Cbmyvbd/78eVStWhXGxsawtLSEvr4+YmNjZfvT0tJw48YNNGrUCAC+eA4iIiIiIiIiIhIfUU0ntLKyQqVKleDl5YXZs2ejbNmyiIiIQHx8PHbs2AFTU1OEhIRgxowZ8PT0xF9//YXw8HB4e3sDyO9t1b9/f/j7+8PIyAiVKlXCsmXLYGpqinbt2gEA3NzcPnsOou9J2TLa0NIuKdh4OdlZSH2X/eUDiYiIiIiIiD4hqiSWlpYWQkJCsGzZMowdOxbv37/HTz/9hLCwMNSpUwcAEBoaivnz58PV1RXGxsaYOHEiunfvLjvH2LFj8fHjR8yePRsZGRmwsbFBSEiIbIpi+fLlv3gOou+FlnZJHA/pLNh4Th4HATCJRURERERERF9PVEksADA1NYWfn1+R+62trbF9+/Yi95coUQKTJk3CpEmT/vE5iIiIiIiIiIhIXETVE4uIiIiIiIiIiEgZ0VViEdH3if25iIiIiIiI6HOYxCIiUdDSLol9YR0FG89lyCGwPxcREREREdF/B6cTEhERERERERGR6DGJRUREREREREREosckFhERERERERERiR57YhERfaJsWS1oaekINl5OTiZSU3MEG4+IiIiIiOi/iEksIqJPaGnpYGt4e8HG6zfoCAAmsYiIiIiIiD6H0wmJiIiIiIiIiEj0mMQiIiIiIiIiIiLRYxKLiIiIiIiIiIhEj0ksIiIiIiIiIiISPTZ2JyISsTJltaAt4EqJ2TmZeMeVEomIiIiISISYxCIiEjFtLR0EbxZupcRhA7hSIhERERERiROnExIRERERERERkegxiUVERERERERERKLHJBYREREREREREYkee2IREVGxCNlkng3miYiIiIjoU0xiERFRsWhr6WBJhDBN5if3YYN5IiIiIiKSx+mEREREREREREQkekxiERERERERERGR6HE6IRER/acYlNVGSa2Sgo2XlZOF96nZgo1HRERERETKMYlFRET/KSW1SmLqrg6Cjbe4x2EATGIREREREakbpxMSEREREREREZHoMYlFRERERERERESix+mERERE/1DpstrQEbA/V2ZOFj6wPxcRERERfaeYxCIiIvqHdLRKwnmfcP25olwO4wP7cxERERHRd4pJLCIiov8BpcuWhI6WtmDjZeZk40NqlmDjERERERExiUVERPQ/QEdLG50iJwo2XnS3ZfgAJrGIiIiISDhs7E5ERERERERERKLHJBYREREREREREYkek1hERERERERERCR67IlFRERE3xSbzBMRERGRKjCJRURERN+UjpY2Ou1dKNh40a7T2WSeiIiI6DvA6YRERERERERERCR6TGIREREREREREZHocTohERER/c8qXVYHOlpago2XmZODD6mZoo+FiIiI6L+ISSwiIiL6n6WjpYXOe1YJNt7B7mPwAcoTRzpaWui8O1S4WNzci4yFiIiI6L+ISSwiIiKi7wyrwoiIiOi/iEksIiIiou+MjpYWuuzaKth4B3r0K7IqrHRZXehoCXNLmpmTiw+pGYKMRURERN8ek1hEREREpDY6Wproumu3IGPt7+GGD4KMRERERKrA1QmJiIiIiIiIiEj0mMQiIiIiIiIiIiLR43RCIiIiIvruCdmbC2B/LiIion+CSSwiIiIi+u7paGnCZdchwcbb16Mj+3MRERF9JU4nJCIiIiIiIiIi0WMlFhERERGRiHBqIxERkXJMYhERERERiYiOliZcd58UbLy9bo6c2khERP8JnE5IRERERERERESixyQWERERERERERGJHpNYREREREREREQket9tEisvLw8BAQFo3rw56tWrhyFDhuDhw4fqDouIiIiIiIiIiJT4bpNYQUFBiIiIgK+vL3777TeUKFEC7u7uyMrKUndoRERERERERET0ie8yiZWdnY2wsDCMHj0ajo6OsLS0hL+/P169eoVDhw6pOzwiIiIiIiIiIvrEd5nESkxMRHp6Oho3bizbpq+vjzp16iAuLk6NkRERERERERERkTKa6g5AHVJSUgAApqamcttNTEzw7NmzYp9HQ0Mi/3HpUv8+uK/w6fhy+0qXFkUcJUqXEywO4POxaJY2ETCSz8eirS+eWHREFIuuiGIppW9a5D5V+Fws+qXEE4uBgLF8Lo5yeuL5npjoiigWPfH8zTXRKyNgJF+KRbjXROBLsegLGMmXYhHPfYuJnp5I4tAVLA7g87EY65UUMJLPx0JERCSUL70eSaRSqVSgWERj3759mDJlCq5duwZtbW3Z9ilTpuDZs2fYvHmzGqMjIiIiIiIiIqJPfZfTCXV0dADk98YqLDs7G3oCPgkkIiIiIiIiIqLi+S6TWObm5gCAFy9eyG1/8eKFwhRDIiIiIiIiIiJSv+8yiWVpaQl9fX3ExsbKtqWlpeHGjRto1KiRGiMjIiIiIiIiIiJlvsvG7tra2ujfvz/8/f1hZGSESpUqYdmyZTA1NUW7du3UHR4REREREREREX3iu0xiAcDYsWPx8eNHzJ49GxkZGbCxsUFISIhco3ciIiIiIiIiIhKH73J1QiIiIiIiIiIi+m/5LntiERERERERERHRfwuTWEREREREREREJHpMYhERERERERERkegxiUVERERERERERKLHJBYRERER0X/UzZs3ER0djfT0dDx58kTd4ajd9OnTkZaWprA9NTUVI0eOVENE4vfu3Tt1hyCoUaNG4eTJk+D6ZkT/TZrqDoDU4+nTp6hQoYK6wwAA3LlzBzVr1lR3GKKSnp6ODRs2ID4+Hjk5OQovsps2bVJTZCRW7969w759+5CUlIRx48bh2rVrsLS0hKmpqeCxPH78GAkJCcjOzlbY161bN8HjIfFKT0/HnTt3lP6ds7OzU1NUJEaBgYFwc3ODubm5ukMRjczMTIwaNQpnzpyBhoYGjhw5goULF+L169cIDg5G2bJlBY3n4sWLqF69OgwNDbF//35ERkaiYcOGGDFiBDQ0VPvcPCkpCW/evAEAREZGonXr1ihTpozcMbdu3cKZM2dUGsensrOzsW7dOnTp0gVVq1aFt7c39u7diwYNGsDf3x+GhoaCxTJo0CAsXboURkZGcttPnz6NGTNm4M8//xQslsKkUikkEglevXqFCxcuwMrKClWqVFHpmC9fvsSwYcNgamoKNzc3uLm5oWLFiiods7hu3ryJe/fuoWXLlnj79q3a4kpOTka5cuWgr6+P8+fPIzo6Gg0bNlTrfVxeXh6A/GsmOzsbV69eRePGjQWNQUzflwMHDiAkJAT379/HgQMHsG3bNlSuXBl9+/ZV+dj9+vUr9rFbt2795uMzifWdat26NRo3bowePXqgbdu20NbWVlssgwcPxurVq1G3bl21xaCMOl9EfHx8cOjQITRr1gzlypUTbNyiuLu7Y/r06ahRo4a6QwEAfPz4ESdOnEBSUhJ69+6Nhw8fokaNGtDV1RU0jn379qFDhw4oWbKkoON+6tmzZ+jZsyeys7Px999/w8PDA7/99hsuXbqETZs2wcLCQrBYduzYgTlz5uDjx48K+yQSieAv8pmZmdDR0RF0TGVmzpwJNzc3NGzYUN2hIC4uDra2tuoOAzExMZg6dSr+/vtvhQSWRCJBYmKimiKjwsRy7W7YsAHOzs5qjeFTr169UpqAFeohYUBAAF6+fImdO3di4MCBAIARI0Zg8uTJWLp0KXx9fQWJAwAiIiIwd+5chIWFwdDQENOnT4e9vT22bNmCjx8/YuzYsSod/9GjRxgxYgQkEgkAYPTo0UqP69Wrl0rj+NSSJUsQFRWFVq1a4c8//8SuXbswbtw4HD9+HH5+fli0aJFgsbx+/RrOzs5YvHgxmjdvjuzsbPj5+WHr1q3o0KGDYHEUuHnzJkaPHo2FCxfC0tISP//8M548eQItLS2sW7cOTZo0UdnYO3bswL179xAZGYm9e/di7dq1aNKkCXr27Ik2bdpAU1P4t8hiSkofOXIEEydOxNq1a1GlShWMGDEC5ubmiIqKwvv372V/b4SQkJCAmTNn4u7du0r3C3mvIKbvS0xMjOz1+d69ewCAMmXKYMGCBShRogR+/vlnlY7/ww8/qPT8XyQltfn48aP048eP0tzcXGl6err03Llzgo198eJF6cyZM6U2NjZSOzs7qbe3t/Tq1auCjV9Yq1atpAkJCWoZW5mMjAzpkCFDpBYWFtLatWtLHz16JB0xYoS0V69e0rdv3woSQ7NmzaT79+8XZKzisLW1lT569EjdYUilUqn07du30i5dukgtLS2llpaW0kePHkk9PT2lrVu3lj5+/FjQWBo2bCi1sbGRenl5Sa9cuSLo2IWNGzdOOnbsWGlWVpa0fv360kePHknT09Olw4YNk7q7uwsaS6dOnaTTpk2Tvn37Vpqbm6vwT2gNGjSQzpo1SxofHy/42IX98ssv0tq1a0vbtWsnDQ4OlqakpKgtlsJxPH/+XG1xdOvWTerp6Sn966+/pA8fPlT4py4vX76UPn36VPrkyRO5f0LKzs6WLliwQLphwwbZto4dO0qXLFki/fjxo6CxiOXadXd3lwYHB6tl7E9dunRJ2rZtW9nrUME/CwsLqaWlpWBxtG7dWnbvWPC3XyqVSi9cuCBt1qyZYHFIpVJp+/btpVu2bJFKpVLpsmXLpC4uLlKpVCr9888/pa1atRIkhkePHkkfPHggtbCwkF65ckXu78mjR4+kr1+/FiSOwhwcHKSnT5+WSqVSqZeXl3TQoEFSqVQqvXbtmtTe3l7QWLKysqRz586V1qlTR+rj4yPt3LmztFmzZtKjR48KGkeBwYMHS4cOHSp99eqVdMuWLdImTZpIX7x4IV2xYoW0V69egsWRl5cnPXPmjHTy5MnS+vXrSxs3bixdtGiR9O7du4LFIJVKpYsXL5Z27dpVmpCQIPt9TkhIkLZv3146c+ZMQWNxcXGRLl++XPrx40dpYGCgtH379tK8vDzpwYMHpe3btxc0lj59+kh79Ogh/e2336TW1tbSrVu3ShcuXCi1srKSRkdHCxqLmL4vPXr0kP3NLfz3f+PGjdJOnToJGos6sBJLYGLJJtva2sLW1hZeXl44cuQIoqKi0K9fP1StWhVubm5wcXERrAKoW7du8PDwgLOzM6pUqaJQNdGjRw9B4igghiebWVlZsLa2Vvk4xeXm5obFixdj1KhR+OGHHxQqnlQ9TaCwZcuWoWzZsjh9+jTatGkDAJgzZw7GjRsHPz8/rFy5UrBYzp49i8OHD2Pfvn3o06cPqlatiu7du6Nbt24K5fqqdPHiRYSGhspVVOrq6mL8+PEYMGCAYHEA+VMJV61aJfg0lqJ4e3sjMjISffv2RZUqVWR/34yNjQWNIzw8HM+fP8fevXuxZ88erFy5Es2aNYObmxtat24t6FPf48ePY8+ePdi9ezdWrlyJpk2bonv37mjTpg20tLQEi+P+/fvw8/MTzXTyy5cvY9q0aUhOTpbbLv3/U12EfNq7fPlyREdHY/78+bJtgwYNwqpVq6Ctra3yqpbCxHLt6urqwt/fH+vXr0flypUVXodUMV2hKH5+fjAwMMDKlStRunRpwcb91IsXL1CpUiWF7SYmJnj//r2gsTx58gROTk4A8qenNW/eHABQvXp1vHr1SpAYKleuDCC/QqFChQqyqix1evfuHapXrw4g/56hoDqiTJkyyMrKEjQWbW1teHl5IT09HREREdDU1MSGDRvUNnX7ypUr2LlzJ8qXL49Tp06hefPmMDY2Rvfu3REWFiZYHBKJBE2bNkXTpk2Rnp6OQ4cO4eDBg3BxcUHdunWxbds2QeI4evQofH195e7/ra2tMXfuXEyYMEGQGArcu3cPQUFB0NDQwJkzZ9C8eXNIJBLUr18fT58+FTSWxMREbNy4EXXr1sXOnTthYWGBvn37wszMDDt27EDHjh0Fi0VM35e7d++iRYsWCttbtWqFZcuWCRoLADx8+BDbtm3DvXv3MH/+fJw9exYWFhaoXbu2SsZjEktgixYtgo6ODubMmQNfX19MmzYNjx49wtatW+Hn5yd4PCVLloSzszPs7e2xe/durFu3DosWLcLy5cvh7OyMyZMnK/QU+NZWr14NANi8ebPCPolEIngSSwwvIu3atcPevXvx66+/CjLelxw9ehRPnz5FTEyM0v1Cvrk7deoUAgICUL58edk2MzMzzJw5E56enoLFAeT//ri4uMDFxQXPnj3D/v37ceTIEaxcuRLNmzdHz5490bJlS5XfSKenpyud0iiVSpGbm6vSsT9lYWGBR48e4ccffxR03KIU/vlERkZi9+7dWLFiBRwcHNCjRw+0bNlSsDfhZmZmGDFiBEaMGIGrV6/i8OHDmDZtGkqWLAlXV1f07dtX9iZM1XGMHDkSI0eOxKVLlxAVFYX58+djzpw56Nq1K3r27IlatWqpPI7KlSvj7du3Kh+nuMSSmACA6OhoLFmyRK7XR69evVChQgV4eXkJmsQCxHHt6uvri6an3q1bt7B161bUqVNHrXHUqFEDZ86cUZg2sn//fsGTw+XLl8eLFy+goaGBxMRETJ48GUD+lDEhH+oAgLm5Ofbt21dkX9GFCxcKFssPP/yAa9eu4eXLl3j8+LEsuRcTEyPI3/vCkpOTMXPmTFy5cgXjx4/HtWvXMGTIEIwcORKenp4oUaKEoPGUKFEC2trayMnJwcWLF+Hl5QUA+PvvvwVvD1FAT08Pjo6OyMzMxNu3b3H16lXBxhZTUtrAwAAfPnzA+/fvkZCQgKFDhwLIn7Yr9EPKvLw82YPHKlWq4ObNm7CxsUHr1q0RHBwsaCxi+r6ULl0az549U/g7cvv2bcFjuXPnDnr16oVKlSrh/v37yMrKwqlTp+Dt7Y2QkBCVJMqZxBKYmLLJGRkZOHLkCCIjIxEbG4uKFSvC09MT3bt3x/PnzzFv3jyMGTNG5U3Eb968qdLzfy0xvIgYGBggLCwMf/zxB6pVq6bQs0zohOeYMWMEHe9z3r59q/SPc6lSpZCZmSl8QP+foaEhKlSoADMzM9y+fRtJSUmYOnUqDA0NsXTpUlhZWalsbDs7O2zduhWzZs2SbcvOzkZQUJDgvY+GDBmCOXPm4OHDh6hatarCtavKHhefY25ujhEjRsDd3R3h4eFYvXo1Tpw4ASMjI/Tr1w/u7u6C9QaMi4tDVFQUfv/9d2hoaKBNmza4c+cOOnfuDG9vb7i5uQkSBwDY2NhAQ0MDJUuWxI4dO7Bnzx5s27YNjRo1wty5c1X6Jmvy5MmYN28exo0bp/TvnNBv8MSSmACA9+/fK12UoVKlSnj9+rUaIsqnzmtXyMTDlxgbGwv+gECZUaNGYfz48bhz5w4+fvyIXbt24f79+zh27JigVckA0LlzZ0yaNAm6urowNzdHo0aNcPDgQfj6+qJnz56CxrJgwQJs3boVNWrUUEhIC12d5eHhgQkTJkBDQwONGzeGpaUlgoKCEBQUhAULFggai7OzMypWrIgdO3bA0tISALBz504sXLgQv//+O/bs2SNoPPXr10dwcDDKlSuHrKwstGjRAikpKVi+fDnq168vaCwZGRn4/fffERUVhfPnz8PMzAyurq5Yu3atYDGIKSnt6OiI2bNno1SpUihdujSaNWuGs2fPwsfHB61atRI0lipVquDixYtwdnZGtWrV8NdffwHIf51UtoCQKonp+9KlSxcsWLAA8+fPh0QiwYcPH/DHH39g3rx56NSpk6Cx+Pn5oXv37vDy8kKDBg0A5M+cmTFjBvz9/VVSzcgklsDEkk2eNm0ajh49io8fP6JNmzYIDQ2Ve3NpZmYGDw8PzJgxQ7CYxLIahxheRP766y/Uq1cPANT6hqWAq6urukOQsba2RnR0NIYPHy63fdOmTSpNFBUlNjYWkZGROHLkCPLy8tChQweEhobC1tYWWVlZmDFjBiZOnIgjR46oLIbJkyejf//+iI2NRU5ODry8vHD//n2kp6djy5YtKhtXmYLqQWVvONXZrDsuLg579+7FkSNHIJVK0blzZ1nC3t/fH4mJiQgICFDZ+MnJydi3bx/27duH5ORk2NjYYMqUKejQoYPsifPq1avh5+cnSBLr8ePHsngeP34MW1tbzJkzBx06dEBqaipmzJiBsWPHYu/evSqLoaBycvTo0XJvLNUxfQ8QT2ICAGrXro0dO3Zg6tSpctv37t0rSJVcYWK6dl+9eoV79+7JLRxRsEKVkNVpI0eOxIIFC+Dj46M0WS/UFPvWrVtj1apVCA4ORokSJRAeHo5atWohICBANt1eKBMnToSJiQmePHmCfv36oUSJEnj58iV69eol+IOwmJgYTJ8+XdAmy0Xp1q0bLCws8OTJE9nUnzp16mD9+vVo1qyZoLG4ublhypQpctdrz549YW9vjylTpggaC5C/aMSvv/6KJ0+eYMaMGTA0NMTcuXNx9+5dhISEqHz8vLw8nDlzBlFRUTh27Bg+fvyI1q1bY926dWjatKnKx/+UmJLSXl5eWL58OZ48eYI1a9ZAW1sbFy5cgLW1teDXyoABA2QPadu3bw8XFxdoaWkhPj5e8GSnmL4vv/76K54+fSp73XVzc4NUKoWTk5PgM3kSEhIwbdo0he0eHh4qm1ElkX5aY0sq5ezsLOv/FBQUhMePH2PhwoW4fv06Bg4ciEuXLgkSh6urK3r06IGuXbvCwMBA6TH379/Hw4cP0bJlS5XGUng1DolEgqNHj6p1ieiYmBiMHz8evXr1wo4dOzB48GC5F5G2bdsKGo9Y/PHHH1izZg1u374NLS0t1KhRA0OHDpX1wBDKpUuXMGTIEDRp0gRnzpxB586dcefOHdy+fRthYWGC9nZwcnLCs2fPYG1tjR49eqBTp07Q19eXO+bIkSOYNWsWLl68qNJYUlJSsG3bNty8eRN5eXmoVasW+vbtK3gy+MmTJ5/dL3Q8q1atwr59+/DkyRPUq1dP9nPS09OTHXPgwAF4eXkhPj5eZXFYWlrCyMgI3bp1Q48ePVC1alWFY44fP47169cjIiJCZXEAQP/+/XH58mUYGRnB1dUVbm5uCqvMHDlyBNOnT8fly5dVFkdsbOxn9zdq1EhlYysTGRmJ7du3qz0xAQDnzp2Dh4cHfvrpJ9kDjWvXruGvv/5CUFAQHB0dBYtFLNduZGQkvLy8kJOTA4lEIkt2Avl/V44dO6aysT/l5OSEFy9eKF2FFRB2ij0patCgAfbt26f+1bNE7NWrVzA0NJT9XcvLyxP0b1xRXr58CUNDQ5VPbVywYAGio6Px+vVr1KhRAz169ICLi4va+3mePHkSwcHBSExMlN3LDRs2TPCk9Oc8e/YM5ubmgo557NgxlC1bFra2toiKikJISAjMzc3h5eWldPbM9+Thw4ey68XCwkLWg09IdnZ22LJlCywsLNCgQQNERUWhcuXKuHLlCoYNG4YLFy588zGZxBLYzp07MW/ePPj6+qJOnTpwcXGBm5sb4uPjYWJigtDQUHWHKDg/Pz+cPn0a8+fPx8CBAxEVFYXU1FRMnjwZtra2gi4RXUAMLyLp6enYt28fbt26BW1tbdSsWRMdO3ZUSJIIISYmBqNHj4ajoyMaNWqEvLw8xMbG4tSpU1i7dq2gb6iA/DcIYWFhcj+fIUOGoG7duoLGMX36dAwZMuSzFXofPnxAbm6uShdKmDVrFjw8PJS+uVSXtLQ03Lt3D9ra2qhcuTJKlSqlljiaNWsGZ2dn9OjRo8gX9sTERFy5cgV9+vRRWRwxMTGwt7dXy+/vp0aPHo0ePXqgRYsWRb5pSUlJwdu3b2VTTlTt9evX0NbWVmsvKrElJq5evYqNGzfizp070NLSwo8//ggPDw/BfiYFxHLtdurUCfXq1cOwYcPQq1cvbNiwASkpKZgzZw4mTJgAFxcXwWL5UoWiKquXd+3aBWdnZ2hra2PXrl2fPVbInqJ5eXmIiooSRR+qsWPHwt7eHv369RNszKK8fPkS/v7+RX5fiuo1qirr1q1DaGgoPnz4gCNHjiAoKAjly5eX9TBTta9pfl2hQgWVxWFjY4NOnTqhZ8+egt87/hf4+vrKtagosGPHDvj5+SEuLk4NUYlDXFwcLl++rPT3efTo0YLFMXDgQAQGBioUo7x58wZDhgxBZGSkYLH8+uuvkEgkWLp0qSzRWKpUKYwdOxZGRkZYsWLFNx+TSSw1UFc2efr06cU+VsibjTZt2sDX1xeNGzeWy97GxsZiwoQJOH36tGCxFFb4KW9aWpqgN/DPnz9H37598erVK1SpUgV5eXl49OgRTE1NsW3bNpiYmAgWCwB0794dzZs3x/jx4+W2+/v748KFC9i+fbug8YiFk5MTAgIC1DKNsTAbGxvs27dPFE+jpFIp/Pz8sGXLFuTm5kIqlaJkyZLo27evwtQoIeTm5gq68l9R7O3tER4errJVWv6N7Oxs3LhxAzVq1BA8UbFlyxasXbtWNm3axMQEQ4cORf/+/QWNA1BvYkLMxHLtWltbIzIyEtWrV8eAAQPg6emJ5s2b4+jRo1i7dq2g/XzU+eDA0tISZ86cQfny5T+b0BR6Sq6vr+9n+1AJuXrk+vXrERgYiGbNminttzdu3DjBYhk1ahTi4uLQtWtXpX9fhZz2s3PnTixduhSenp5YtWoV9u/fj/Pnz2PBggUYNmyYQpsGVbC0tCx2XzJVXr9+fn4YM2aM2hrIF0XZCm+1atUSvFejnZ0devbsKZsi9/z5c8ycOVO2wqaPj49Kx58yZQpmz54NfX39L07TE7JP8OrVqxEQEIBSpUop/D5LJBKcOHFCpeNfunRJtoLytGnTMGvWLIU47t69i23btqm0kv5TKSkp6N+/P96/f48PHz6gSpUqePbsGQwNDbFlyxaVJKTVf2f/HSpczePs7AxnZ2dBxn348KHs/3l5ebhy5QoMDQ1Ru3ZtaGpq4ubNm3j16pXKpw9+SgyN1Av78OEDpk+fjlq1asl6bHTo0AF2dnaYP3++3DQkVVm8eDFMTEywfft2WcIqJSUF48aNw7Jly7B48WKVx1DY3bt3sXz5coXt3bp1w8aNGwWNBcivlLt165bSho5CPgXJzs4WxQ1Qq1atsGHDBowbN67I6cFCWb9+PXbs2IEJEybAzs5OVrW3Zs0amJqaYtCgQSqP4Wt6Rwj1ZsbExEQU/e2A/Cfh06ZNw8SJE1G7dm38/PPPSExMRJkyZRAWFoaffvpJkDh27tyJRYsWoXfv3nLXyuLFi9WyEp26k1QrV66Ep6cndHV1v3gNC/kmXCzXrra2tiwZUaVKFdy6dQvNmzeHlZWV3P2NEA4dOiTIG35lCi+GI6aFccTUhyoiIgLly5fHzZs3Fb5HEolE0N+fuLg4LFmyRNYPS502b96MWbNmoWvXrggMDASQ3xOrZMmSWLVqlSDX9IYNG2T/v3XrFtasWYNhw4ahQYMG0NTUREJCAtasWYORI0eqPA53d3dR3MMVUMcKb0UJDQ2Fh4cHtLS0UKlSJSxatAjGxsbYvHmzIAsGPXv2DHl5ebL/i0VkZCQ8PT0FW61emYLeUxKJROlsJR0dHQwbNkzQmExNTREVFYUDBw7IzZJxdnZW2cNRJrEElp2djZ07d+L27dtK34CrsgKq8MoAy5cvh7m5ORYtWoSSJUsCyK9Y8PLygpaWlspiUEYMjdQLW7hwIR48eCBrOgwAixYtwsKFC7F8+XKl5bXf2pkzZ7Bu3Tq5iitTU1NMmTJF5S/sypQvXx7Pnz9XeOr8/PlzQZJ6hc2fPx+bN29GmTJloKOjI7dPIpEImsQaMGAARo4ciT59+qBKlSoK8Qi1Et/Tp09x4MABbNu2DQYGBgo3Zap+MlTYjh07MGvWLLmEQN26dWFoaIh169YJksTat29fsY4T8s2Mg4MDRo4ciWbNmqFq1aoK14qQb6oWLFiA9PR0lC9fHgcOHEBycjK2b9+OXbt2YcmSJQgPDxckjvDwcEyePBm//PKLbFvHjh1RpUoVbNiwQfAkVlHVyhKJBFpaWjAzM0OHDh1QrVo1lYy/b98+DBw4ELq6up+9hoV+Ey6Wa9fKygrbt2/H5MmTUbNmTZw4cQIeHh6y6ZZCEsuDA19fX/To0UPwKabKpKamCv4QtCjHjx9XdwgyJUqUEEWVNJD/MLtg5bDCGjRogJSUFEFiKHxftGTJEsydOxft27eXbbO2toa5uTmWLVuGvn37qiwOMU5EUscKb0WpW7cuNmzYgCFDhuDDhw8YOnQoRo0aJdgqzps3b1b6f3VLSUkRdAXpT9nY2ODGjRvIy8uDlZUVTp48CSMjI9l+iUSilt52gYGBcHd3V1iJNi0tDfPnz8fMmTO/+ZhMYglsxowZOHz4MGrVqqX0DbhQIiIisH37dlkCCwA0NTUxdOhQ9OjRA3PnzhUsFjGtxgHkv+Ffu3at3Bx5BwcHzJ07F+PGjRMkiSWVSpX2hjEwMEBmZqbKx/+Uk5MT5s2bh2XLlslulhMTEzF//nzBG7tHRUVh5syZGDBggKDjKuPv7w8gP8n5KSGncjRt2lQtK+ko8+LFC6VP6WxtbeHt7S1IDGJ6A1PgyJEjMDIywq1bt3Dr1i25fUInJS5cuIBNmzahUqVKWLp0KRwcHFC/fn2UKVMG3bt3FyyO5ORkpUtSt2rVSmnlp6rl5OTg4MGDMDY2hrW1NQDgxo0beP78OerVq4cLFy5g7dq1CAsLg42NzTcfv/B1K6ZrWJ3XbkJCAqytrSGRSDBmzBh4eHjA0NAQrq6uCAoKQvv27fHixQt07txZZTEoI5YHB3Fxcdi6dStq1aoFNzc3dOnSBYaGhoKM/anmzZvj1KlTouhDBQAfP37EiRMncO/ePfz88894+PAhatSoIXjlTbdu3RAaGoq5c+eqvFn5lxgbGyMpKUkhqXbp0iWYmpoKHk9SUpLS1VarVKnyxUVivgUh33cVhzpWeCusYJpaAQMDA8ydOxeTJ0+Gjo6OXKKzcuXKKo1FLL3TPmVjY4Nr166hSpUqgo35KQ0NDWhoaKi9EvfNmzey96RBQUFo1aqVQv/fGzdu4LfffmMS63/ByZMn4efnh06dOqk1Di0tLTx58kSh0XFSUpLglTViWiIayF8tUdn3oGzZskhLSxMkBisrK2zatAlz5syR275p0ybBpvoUNnbsWMTHx8PV1RW6urqQSCRIT09H7dq1BWsGWpgYyvIB4RuyFkXI6rMvqVSpEi5fvqxwg3P58mXBerklJyejUqVKkEgkCjdln1L1jVgBMSUlcnNzUaZMGUilUpw7d05WFp+Xlydo/zBTU1PcvXtXYQWxO3fuqGWFKB0dHbRv3x5+fn6yp825ubmYNWsWdHV14e3tjaVLl2LFihWCPBlOT0+HpqYmtLW1cffuXRw/fhwNGjQQdEoJoN5rt1evXihTpgyaNGkCBwcHHDp0CB8/foShoSEiIiIQEREBc3NzwR9qiOXBQWRkJO7evYt9+/YhPDwcfn5+aNmyJVxdXdGyZUtBkybW1tbw8/PDmTNn1N6HKjU1FQMGDMDdu3cB5LeECAwMRFJSEjZu3CjoKrmvXr3CoUOHEBMTg8qVKyt8X4TsFdarVy/MmTNHlii5c+cOTp48iYCAALi7uwsWRwELCwuEh4fD29tbVj2Sk5OD4OBg2YMEVRoxYkSxXvOE+hnl5eUhNzdXYfv79+8FqTZt27at0sSeVCrFypUrERAQIOsXrOqHtE5OTqLonfapjh07Yu7cuUhISFC6irGQi2lkZmYiIiICt2/fli1II5VKkZ2djWvXrqn8tfvPP//EtGnTZKsFF/W1K3tY+S2wsbvAHBwcsGnTJvz4449qjaNgadlx48bBysoKUqkU8fHxCAwMRN++fTFmzBi1xqdO7u7uMDQ0xMKFC2Uvbnl5efDy8sKjR48EefMSHx+PgQMHokaNGrIn/nFxcUhKSkJYWJjgb2Levn2LMmXK4NSpU7h9+zaA/JsPBwcHwctWFy5cCIlEovRplZikp6cLlhD+0gokQk7LCg8PR1BQEEaPHi2ryLp48SKCgoLg4eEhyDz9TxsfF3VTJnTjY7FUBvTr1w/29vYoX748fH198ccff8DQ0BDe3t548uQJNm3aJEgcK1euxJ49e+Dl5SW7VuLi4jBv3jx06tRJ8IUAbG1tsX37dtSoUUNue1JSEnr37o2LFy/iwYMH6N69u8obpsbGxmLkyJFYtWoVatasiS5duiA3Nxfp6elYsmSJ4JVHQP4Na8FqubVq1YK9vb3K//7HxcXh0qVLiI2NRXx8PDIyMvDjjz+iWbNmcHBwgL29vVxF+fcuNjYWBw4cQHR0NHR0dARdGOdzVdkSiUTQhz5eXl548OABVqxYgTZt2iAqKgpaWloYN24czMzMBK3y/9KiSkIupCSVSrF06VJs3rxZ1tJEU1MTffr0wYwZMwSvTIqLi4O7u7vstVoqleL69evIysrCxo0bVTpN1tLSEh07dlSYFaOMUD8jdazwVlhsbGyxj23UqJEKIwHOnTsn+/+Xeqepctrpp8S0mMbMmTMRFRUFKysrXL16FQ0aNMDDhw/x+vVrDBo0SJB7qHPnzkEqlWLIkCFYsWIFypQpI7e/VKlSqF27tkqSsExiCWzt2rW4c+cOFixYoNYbr+zsbPj6+mLv3r3IyckBAJQsWRL9+/fHpEmTVP5CVviP05cI1VeowI0bN9C/f38YGBjIVgNJTEzE+/fvERYWhnr16gkSR0JCAsLCwuSSRoMHD1bLUsBiWYUPyJ+P7uzsDF1dXVSuXFnhWhXqDTiQX0q7evVq3Lp1S9aAsuApSFJSEuLj4wWJo6gXVW1tbRgbGwv65iEvLw8LFy5EREQEPn78CKlUCk1NTfTt2xfTp08X5CY5NjYWDRs2hKam5hdvylR9I1bg08qAo0ePwtfXVy2VAVevXsXw4cORmpqKoUOHYsKECZg9ezaio6MRGhoq2N+4rKwsjB8/HsePH5ddF1KpFK1bt4a/v79gvTcKNG7cGP7+/gqvOefOncO4ceMQGxuLpKQk9OnT56tu9v+J3r17o1q1apg5cyZ+++03bN68GUePHsWuXbvw22+/Fbvv27fw/v17uLu749q1a9DT04NUKkVGRgbq1q2LsLAwwVa0/PjxI65fv46LFy/i4sWLuHz5MjIzM2FjYwMHBwfBK0ni4uIQHh6Oe/fuITQ0FAcPHkTNmjXh6OgoaBwFnjx5gv379+PIkSO4c+cOmjVrhuDgYLXEom4tW7ZEQEAA6tatK7fqdUJCAjw9PXH+/Hl1h6hW6enpSEpKglQqxY8//ij4qrSFJScnY8eOHbhz5w4AoHbt2ujTp4/KK7cLP+wSC3Ws8FYUd3d3TJ8+XeGhjjp0794dw4YNk+udBuRXCS9btgwHDx5UU2Tq1bRpU8yYMQNdunRB27ZtsX79elSsWBHjx4+HmZmZIO1vCgwYMAB+fn4wNzcXbEwmsQT24MED/Pzzz/j7779hYmKi8IZO6OlJf//9N+7fvw8AqF69umAVAQXVEV+6/ITOahd4/PgxfvvtN1nD2B9//BH9+/eHsbGx4LGIgYODA8LDw0XxYjZkyBBcu3YNjRs3VvoEbcmSJYLFMnbsWMTGxsLBwQHR0dHo3LkzkpKScOPGDUyYMEFucQBVKigjLpCbm4sHDx7Ax8cHAwcORMeOHQWJo7C0tDTcu3cPANR+kywGYqoMAPKTjWlpabKm1ElJSTA0NFToZyCEpKQkWa8lCwsLhWnuQvH29saZM2cwe/Zs1K9fH1KpFFevXsX8+fPRsGFDzJw5E97e3khNTUVoaKhKY6lXrx4OHDiAypUrY8iQIahUqRLmzp2LJ0+eoGPHjkhISFDp+IV5eXkhLi4OS5culU1nT0hIwNSpU9G0aVN4eXkJFkuB3NxcXLlyBVFRUdi/fz8yMzMFvVe4dOkSfvnlFzRr1gxnz55FdHQ0Nm7ciG3btmHlypVo27atIHG8e/cOhw4dQlRUFOLj41GtWjW4urqiW7duartfUUfF3qfq1auH/fv344cffpBLYiUlJcHNzQ1XrlwRNJ7nz59jy5Ytsu9LzZo10bt3b5iZmal87IIHbMWhjobQ6lK7dm2cPn1aVEksAMjIyBB0hbei2NnZYc+ePYK1XPicevXqITIyUmFRFXX9PheMfevWLZQsWRI1a9ZUaIsgBCsrKxw9ehQVKlTAiBEj0LlzZ3Tp0gXXrl3Dr7/+KmhOwcbGBnv37hX0+8CeWAKbMmUK9PX14erqWqwSVlV69+4d9u3bh6SkJNlTZktLS0GaO4qll1BRKlWqhIkTJwo65pQpUzB79mzo6+tjypQpnz3Wz89PoKjyDRgwAKNGjVL7KnxA/psHVTVW/lrnz5+X9SBJTEyEh4cHLCws4OXlJau4EcKnfU9KlCgBCwsLTJ8+HZMnT1Z5EuvcuXOws7ODpqam0irLa9euyf4vdGVlamoq1q1bV+SKsEJV7p06dQoBAQFyN8xmZmaYOXOmYMnOwjQ0NGBgYCB7g1O1alVkZ2fj/PnzaNy4scrGVdavTFtbW67/ScF2oW+ep0+fjilTpsDT01PuAVPHjh0xc+ZMnDt3DnFxcYJUt+jq6iI7OxuZmZm4dOmSbMWfly9fCr4aXkxMDJYtWybXj7Fu3brw8vLC1KlTBUti3bt3D3/++SdOnTqFy5cvIycnB9bW1vDw8EDz5s0FiaHAihUrMHLkSIwcOVK2itisWbNQqlQprFmzRrAkVrNmzaCrq4uOHTtiypQpqF+/viDjKiOWij0gvz9XdHQ0hg8fLrd906ZNgleU37lzB/369YO2tjasrKyQk5ODHTt2YNu2bdi+fbvK24vUqVNHlL2FgPyKsA0bNiA+Ph45OTkKD7ZV+fosxhoOdazwVhQ3NzcsXrwYo0aNwg8//KBQ5CBkwlPdvdMKy87OxqRJk3D06FHZNolEgrZt22Lp0qWCVpAbGhri9evXqFChAqpUqSKbuVOuXDm8evVKsDiA/BVODx8+LOj9LJNYArt58yZ27Nih9uWQnz17hp49eyI7Oxt///03PDw88Ntvv+HSpUvYtGkTLCwsVDq+kFNnvlZeXp7sqaayF1VVzY1/9uyZ7A3ls2fPVDLGPyWWVfgAwMjISOnKjeqQnp4u+1358ccfkZiYCAsLC/Tv318tiYlPlSpVSpBrafDgwbKy/MGDBxdZZamOysqpU6fi0qVLaNq0qVqqjAq8fftWabPyUqVKCb7iaEJCAmbOnFlkolWVP6N27drJnn5/romsOq4VHR0dBAQE4PHjx7hx44YsGVywkpejo6NgyQl7e3ssWbIEBgYG0NDQQPPmzWUrwtrb2wsSQ4GMjAylUwTMzc3x7t07lY59/Phx/Pnnn/jzzz/x9OlTVKpUCc2aNUPv3r3RpEkTtVV43rhxA/PmzVPY3qNHD2zcuFGwOBYsWID27duLoi/YkiVLkJaWht27dytU7Pn7+wtasTd+/HgMGTIEV65cQW5uLoKCgnDnzh3cvn0bYWFhgsUB5H9fGjZsiBUrVsgeAKanp2PChAlYunQpVq9erdLxFyxYILpV+Ar4+Pjg0KFDaNasmeCvz5s2bVLo36MO6l7hrShHjx7F06dPiyw6EPL1ecqUKXB3d8epU6eU9k4T0ooVK3D58mUEBATAzs4OUqkUFy5cwIIFC7BmzRpBF7BwdHSEt7c3Fi5cCFtbW/j6+sLJyQnR0dGCVHkWpqurC39/f6xfvx6VK1dWSHqqYnEEJrEEVrlyZaXVAEJbvHgxbGxssGTJEtkN8bJlyzB+/HgsWbIEISEhKh3/a5ZgFnLlFiD/BX/r1q2oUaOGQrJElTcChRvGf655/MuXL1UWQ1GOHDki6KplnzNp0iTMmzcPs2bNQrVq1RTiEvLpkKmpKZ48eQJzc3NUqVJFttytjo6Oyt/cFaas+unvv/9WeWPUAjExMbJl3cVWZRkbG4ugoCC1ryQmpsqARYsWQUdHB3PmzIGvry+mTZuGR48eYevWrSqv8ty4caPsjYOQ/euKUtRKlrVr1waQn1BTR2WYt7c3vLy8cPv2bSxZsgT6+vrYu3cvSpQoIfiiFhYWFti/f7/Cgi9RUVEqn2I+cuRIVKhQAYMGDYKjo6NalzUvTFtbG+/fv1fY/vjxY5QqVUqwOJydnZGeno6IiAi5qWodO3YUPMEnloo9IH9qy/bt2xEWFoYqVaogISEBtWrVgre3t+B9RS9evIiIiAi5CnY9PT2MHTsWv/zyi8rH7969u8rH+KfOnj2LhQsXokuXLoKPLVQ/zC8pvMIbUPTqdqpa4a0oYlrgy9bWFgcOHJDrnebm5iZI77RPHTx4ED4+PmjTpo1sW8eOHaGpqYmFCxcKmsSaMmUKpk6diri4OPTp0wcRERHo3bs3NDU1sXjxYsHiAAB9fX1BF5ECmMQSnLe3N3x8fDB69GhUrVpVoVu/UDfJFy9eRGhoqFzZo66uLsaPHy/IUtXKGnKLRUxMDKZPn46BAweqLYbatWvjzJkzssRAgadPn6Jz586CNQwvMGbMGPj5+am9ghDIf6r54sWLIv9YCvl0qF27dpgyZQr8/PzQtGlTjB8/HtbW1oiJiRH0zVZR1U+VK1cWpEdY4crKwMBAzJw5U+ENVGpqKmbMmKHyp86fKleuHIyMjAQdUxkxVQYkJiZi48aNqFu3Lnbu3AkLCwv07dsXZmZm2LFjh0qnnxZ+4xAbGwt3d3eFJ3ZpaWlYuXKlIG8yxFoZZmhoiKCgILltEydOVEvFzYgRIzB8+HDcvHlTbsXRP/74AwEBASodu1mzZoiLi0NAQABiY2PRokULODg4CNrgWJk2bdpg+fLlsiplALh9+zYWLFgg6JvN58+fo2/fvnj16hWqVKmCvLw8REREIDg4GNu2bRP0DZ46K/aUqV27tqA9MotSVOsQDQ0NhX6WQjhw4AA2btyI27dvQ0NDAz/99BOGDh2qlgUJsrKyBJ8OJjbdunWDqalpsVZ4E5Krq6ug431J5cqVMXHiRLx69QrlypVTaKMhlHfv3qFWrVoK2y0sLAQvMihdurTcPXVISAgSExNhZGQk+HtsIVdZLcAklsAKEiMjR46Uu8CEvklOT09XejMslUqRm5ur8vGVTUsTi9TUVLRs2VLwcaOjo3Hq1CkA+T8HX19fhZ/R48ePoaenJ3hsL168EKzp/5eI6enQ+PHjkZubi2fPnqFr165o164dJk6ciNKlS6v8zV1hn1Y/SSQSaGlpCdbYNykpCW/evAEAREZGonXr1go3Ybdu3cKZM2cEiaewESNGYOHChZgzZ45aGm8WEFNlQF5enuzaKKggtLGxQevWrVXe70lsUyfEVhlW4OLFi5/db2dnJ1Ak+VMWAgICsH79etkS7xYWFli1apXc02hVCA0NRVZWFi5cuIBTp04hLCwMs2fPRrVq1eDg4IDmzZvD3t5e8OTelClT4OHhgaZNm0IqlcLZ2RmZmZmoXbs2Jk+eLFgcixcvhomJCbZv3y5LWKWkpGDcuHFYtmyZoE/j1Vmxp8zJkydx69YtpbMfRo8eLVgcDRs2RGBgIJYvXy57cJyVlYVVq1YJ3ttzx44d8PHxQceOHeHs7IyPHz/i8uXLGDlyJJYvX66w+puqtWvXDnv37sWvv/4q6Lhf4/Xr1ypv/l7QK3TTpk2ylZULy87ORkxMDDp06KDSOD71xx9/YM2aNbh9+za0tLRQo0YNDB06FE5OToLGAQDr1q1DaGgoPnz4gCNHjiAoKAjly5cX9O8tkN8/9M8//0T//v3ltp84cULwPp6fFjxIJBLUqVNHbQUPr169wr179+SS89nZ2bh69SrGjh37zcfj6oQCE8ty756envjhhx8wa9Ys2cotpqammDhxIrKysrBu3TqVjr9r1y44OztDW1sbu3btKvI4iUQCNzc3lcbyqbFjx8Le3v6rpjx+C0+fPsXkyZMhlUpx+fJl1K1bV+6FTCKRoFSpUujfvz9atGghaGxhYWE4evQoPDw8lDZ4FMPqJerw9OlTmJmZyU1hTE1NRenSpXH9+nXBkhPTp09Xa/XTH3/8gREjRsgS80W9rPTq1Qtz585VaSyfunr1Kjw9PZVO/QGEq9y7ePEiGjRooPTm9Pjx44LenDo7O8PDwwPOzs4ICgrC48ePsXDhQly/fh0DBw7EpUuXVDZ2ZGSk3NSJorRq1Urwqr3CXr16BUNDQ7Wt1qVsBd/C3zMhq8LEdO0C+Q9zTp06hdOnTyMuLg6ZmZmwtbVV+YqRypw9e1ZuFbHmzZsLes00atQI69atU2joXpCYOH/+vGCxnDx5EsOHD4eTk5PSij2h+skBwPz587F582aUKVNGoRJKIpHgxIkTgsWSlJSE3r17o2TJkrKp43/99Reys7OxZcsWpVUdqtK2bVv069cPgwYNktseEhKCffv2Yf/+/YLFAuQnYbdu3Ypq1aqhWrVqCk2xhV7EqLDY2FhERETg2LFjcovTqFJRszDu378PFxcXQVeljYmJwejRo+Ho6IhGjRohLy8PsbGxOHXqFNauXSto5d7OnTuxdOlSeHp6IiAgAAcOHMD58+exYMECDBs2TKFNgypFRkZi1qxZ6Nu3r9zfue3bt8PLywu9evVS6fiFCx727t2LTp06KS14uHfvnqAPjiMjI+Hl5YWcnBzZvUvBPUvFihVx7Nixbz4mk1jfqTt37qB///4wNTXFvXv3YGtri/v37yM9PR1btmxReWN3S0tLWSPoz01RU0dz3/Xr1yMwMBDNmjVT+qIqxHznAQMGICgoSPBVqIpS+GekjgrC4q7cKJFIBH3yXNQNx+PHj9G5c2dcvXpVZWMXrn4aOHAgVq1apbT6acmSJSqNo0BycjLy8vLQvn17/Pbbb3LVNQUJ2E+/T0Lo0qULdHR04OLionRax6erAKmKmG5Od+7ciXnz5sHX1xd16tSBi4sL3NzcEB8fDxMTE5UnA86dO1esqROfTrcXglie9j569Eju45ycHDx8+BABAQGYPn26oM3dxXTtAvmvO7du3cLly5eRkJCAo0ePIicnR7A3moD6HxwUsLOzw/bt21G9enW57Xfv3kWPHj0EX3r+999/x/r163Hr1i0A+dVZnp6eKq/Y+5S9vT1Gjx4tSHuM4njy5Am2bdsmWz2sYAq30NNi69Wrh3379qFq1apy2x8+fAhnZ2dB7hUK+9LP53P9YVXhw4cP2Lt3L7Zv34779+9DW1sbLi4uKn34tnXrVllLgYIeq58mwt+/fw8zMzNBk4zdu3dH8+bNMX78eLnt/v7+uHDhArZv3y5YLM7Ozhg6dCi6du0qK7yoXLkyoqKisGrVKvz++++CxQIA4eHhCAkJka0AaGRkhKFDhwrS406sBQ+dOnVCvXr1MGzYMPTq1QsbNmxASkoK5syZgwkTJsDFxeWbj8nphALLzMxEREQEbt++LSu3k0qlyM7OxrVr13D8+HFB4qhZsyaioqKwbds2mJubIy8vD126dEHfvn0FWTmwoAE2kP8kUx1vbosSERGB8uXL4+bNm3JxAvl/HIRIYm3evBkxMTHQ0NCQ9deYNWsW2rZtq5a+BeqeZiOmlRt37dqFqKgoAPm/u6NGjVJ4s52SkqLy8vNHjx7JVT8VNT1C1U+FChRU48XExKB8+fJ49+4dTE1NAeT/jhcsQy+0R48eYd++fahWrZrgYxe+OZVKpXBzc1N6cyp0s+qePXuiXLlyKFu2LGrUqIGFCxciJCQEFSpUwOzZs1U+/pemTqjLzp07ERoaKnvaC+RPA12wYAFKly4t6NNeZVNfq1evDn19fSxYsACRkZEqHV9M125GRgauXr2KS5cu4fLly7h69Sr+/vtv1KxZE02aNIG/v78g0yvFOG3aysoKmzZtwpw5c+S2b9q0Sa7BulDatm0raMXV5whdsf45FStWFDwRrkyjRo0QHR2NkSNHym0/deqUrKpESEInqYpy7do1bN++HdHR0cjIyIBEIsHAgQMxbNgwlb8/cXV1xatXr5CXl4fg4GC0a9dObrZDQVKiU6dOKo3jU3fv3sXy5csVtnfr1k3wFQEfPnyo9B6yQYMGSElJETQWABg0aBAGDRqE169fA4DK7/cLq1ChgmzBMzEVPCQnJ2PVqlWoWrUqLCws8ObNGzg5OSE3Nxdr165lEut/wbx58xAVFQUrKytcvXoVDRo0wMOHD/H69WuF8l5VMzU1Vciwq0OPHj0QEBAg+ApdRREqkfg5O3fuxJw5c+RWocrOzsaoUaPg5+cn+ItZ4Wmur1+/hra2tsLKjapU+EZn2LBhsLW1LbJZqqq1bt0asbGxsmk+xsbGcqW8EokE1atXV3mFT6tWrfD777+LrvopIyMD7dq1Q+fOnTF16lQAwIQJE1C6dGmEhoYK3peqZs2aSElJUUsSS6w3p5GRkejUqZOsytTZ2Vm2ytlvv/2GwYMHCxJHo0aNcP36daUPdRISEgRfXWfz5s2YNWsWunbtisDAQAD5Cb+SJUti1apVgiaximJmZoZ79+6pfByxXLvdu3fH7du3kZubC3NzczRu3Bje3t5o2rSpoG8cAPE9OADy2x8MHDgQCQkJsv5KcXFxSEpKEmTBiJUrV8LT0xO6urpYuXLlZ48VctWubt26ISIiQvCVPAv069cPa9asgYGBAfr27fvZ6dNCrsBtY2ODNWvWICEhAXZ2dtDU1MS1a9dw+PBhuLi4yP0Mhfp55eTk4MWLF7IHlQWvAVevXlVpO5HMzEwcOHAAERERuH79OkqVKoV27dqhU6dOGDVqFHr27CnI/ZOenp7se62lpaV0sRN1KF++PJ4/f65Qtff8+XPBe/MaGxsjKSkJlSpVktt+6dIl2cNSVSpuCxyg6NUlVaHwe6Pc3Fzcvn0bhoaGMDMzEyyGAtra2rJ7yipVquDWrVto3rw5rKys8PDhQ5WMySSWwP744w/ZcrJt27bF/PnzUbFiRYwfPx45OTmCxZGdnY2dO3fi9u3bSpteCrnKQHZ2ttoSEl+i7EW1cePGKh83NDQU3t7ecokQPz8/2Q2I0G96AWDLli1Yu3at7MmDiYkJhg4dqtDcUNUmTpyI8PBwwVdqKVCuXDlZnwZNTU2lU0qEUrj6qUKFCqJY8XPhwoWoX78+RowYIdt27NgxTJs2DQsXLsSaNWsEjWf06NGYOXMmBg0ahKpVqypU/RRUBamCWG9Op0+fjhYtWijcoCclJWH58uWCJbFCQkKwdOlSAJDr/ySRSNRSFSCmp73JyckK29LS0rB27VpBqp/Ecu1WqFABbm5uaNq0qVoS0YWJ8cFBgwYNZFVzZ8+eBZA/VW3u3LmC9GTct28fBg4cCF1dXezbt6/I44SqYi8wZMgQODs74/Dhw0pXw1Z1dfkPP/wgq1z84YcfRPHaDOQ3di9fvjxu374tm9oI5N/PnTt3TvaxUD+vkydPYtq0aUhNTVXYp6Ojo9IkVosWLZCXl4cWLVpg2LBhaNmypexNuJCdds6dOydLKNrY2Hx2CrAq71c+5eTkhHnz5mHZsmWyliKJiYmYP3++4I3de/XqJfdg/86dOzh58iQCAgLg7u6u8vFnzZqFVq1aoXz58pg1a1aRx0kkEkGSWAcOHMCGDRuwatUqVKhQAQ8ePICHhweePHkCiUSC7t27Y+7cuYL2Z7SyssL27dsxefJk1KxZEydOnICHhwfu3LmjstYQTGIJ7P3792jYsCEAoEaNGvjrr79QtWpVDBs2DL/++utnfzm+pRkzZuDw4cOoVauW0qaXQhowYABGjRqFPn36oEqVKgrxCPlHGwASEhIwc+ZM3L17V+l+IXp0PXv2TGmyrGnTpliwYIHKx//Uzp07sWjRIvTu3Rt2dnayBo+LFy+Gvr4+unXrJlgsJiYmskSauhUke1+9eoWcnByFGx+h+l2Ym5tj3759iI+PVxqHkEnpK1euYPfu3XLlzfr6+hg/fjx69+4tWBwFCpJp8+fPV9gnZM+90aNHIzk5GeXKlYO+vj7Onz+P6OhoNGzYUJDfn/DwcFllk1QqRbNmzZQeJ+S0z4iICHh6emL06NFo2bIlIiMj8fbtW0ycOBGtW7cWLI4C6n7aW1jbtm0VXoulUilKlSqFZcuWCRqLOq/dgoo4sRDjg4O6devKVo0UWuHK9c9VsRderUoI06dPR15eHqytrdXykLTwa+7YsWMVFoAB8r8n169fFzQuMcw0KGzlypWwtrbGL7/8gtGjR2Pp0qV4+vQpAgICVH7fkpubi9KlS0NHRwc5OTnIzc1V6IErhMGDB8t6BA8ePFhhQY8CQvcIHjt2LOLj4+Hq6gpdXV1IJBKkp6cLvgIrAAwdOhTv3r3DpEmTkJ2djZEjR0JTUxN9+vSBp6enyscv3Frm0zYzQouJicHkyZPRtm1b2d+2mTNn4s2bN1i1ahUMDAwwa9YsbNmyBQMHDhQsrjFjxsDDwwOGhoZwdXVFUFAQ2rdvjxcvXqBz584qGZNJLIEZGhri9evXqFChAqpUqSJ7ElKuXDlZgzghnDx5Ui3T0pTx9/cHACxatEhhnzoauy9atAg6OjqYM2cOfH19MW3aNDx69Ahbt24VbKWUihUr4vz58wqr/l26dEm2jLaQwsPDMXnyZLmmhR07dkSVKlWwYcMGQZNYDg4OGDlyJJo1a4aqVasq3KAK+bQ3Pj4eU6dOVaiaEKrhfYEFCxZg69atqFGjhsI0T6HfZGlra+PNmzcKJehpaWlqecMXExMj+JjKHDlyBBMnTpRV0owYMQLm5uaIiorC+/fvVX6z0b9/f+jr60MqlcLLywtTp05FqVKlZPsLqkgcHBxUGkdhKSkp6NGjB7S1tWFpaYlr166hdevWmDZtGhYtWiT4FHt1P+0t7NNKEYlEAi0tLdSsWVPu5yYEdV+7YmRsbIygoCB06dIFVatWhbe3N/bu3YsGDRrA399fpdVYX5PYK2rKoyq0bt0au3fvRtmyZeW2v3jxAs7OzoKulHjp0iWEhYXJpliqU+vWrZUujPDs2TMMGDBA5c3Uk5OTUalSJUgkEqUVnoUJvdL03bt3sWDBAlhaWqJ27drQ09PDgAEDoKenh9DQUJUuCHDmzBkcPnwYu3btwp49e6CjowNHR0d06tRJ0HuVmJgY2bUhlvsVAChTpgx27dqFU6dOyS1I4ODgIPiqvRKJBJMnT8aoUaOQlJQEqVSKH3/8US2zIAYOHIjAwECFPlRv3rzBkCFDVN6vctOmTbLCFwB48OABLl26BHd3d9nvy6+//org4GBBX5ttbW1x5MgRZGdnw9DQENu2bcP27dthbm6usgU2mMQSmKOjI7y9vbFw4ULY2trC19cXTk5OiI6OFnQOa8mSJT+7KqCQxPRHG8ivtNq4cSPq1q2LnTt3ylaRMTMzw44dO9CxY0eVx9CvXz8sWLAAjx49Qr169QDkN57ctGkTxowZo/LxP5WcnCxrMF9Yq1atlDZ+VKUjR47AyMgIt27dkq2AVEDoKQuLFy+GgYEBVq5cKWiPsE/FxMRg+vTpongz2bJlS/j6+mLp0qX48ccfAeS/yC5YsADNmzcXPJ7PLVSRnp4uWBxr1qyBu7s7mjZtijVr1sDU1BQHDx7EoUOHEBAQoPKfnaampqzMXVNTE507d1bLU+fC9PT0ZBUaP/zwA+7cuYPWrVvjxx9/xJMnTwSPR91Pe6dPn16s4yQSiaAVueq+dsVoyZIliIqKQqtWrfDnn39i165dGDduHI4fPw4/Pz+lD+W+lcDAQGhoaMDExOSz054kEonKk1gnT56UrQr55MkTrFu3TqFfzoMHD2StGYRiZGSk1tdksSwAAwDt2rXD6dOnUb58eaUVngUxquOhcYkSJWQ/p4IH+02aNEHjxo1V3hNRV1cXrq6ucHV1xYMHD7Br1y7s27cPR44cgUQiQWhoKDw8PBRW/vzWCt+jCLGwVnF5enqibdu2aNWqlVoWlFJGT08P1tbWgo976dIlWQI4NjYWUVFRCgm0u3fvKqwqrAo3btyAl5eX7OPz589DIpHIvUerXbu2yvpQfU7hinVTU1OVzy5jEktgU6ZMwdSpUxEXF4c+ffogIiICvXv3hqampqBNbPv374+goCAsWLBArim1OojpjzaQ3wfL2NgYQP6L6s2bN2FjY4PWrVsjODhYkBj69euHzMxMhIeHY/369QDyp9FNmjQJ7du3FySGwkxNTXH37l2Fptx37txReOqqSm/fvsXRo0fl+holJCSgUqVKalnh8tatW9i6dSvq1Kkj+NiFpaamomXLlmqNocCUKVMwePBgdO7cGXp6epBIJPj7779hZWWllia7b968werVq3Hr1i2FHndJSUmIj48XJI579+4hKCgIGhoaOHPmDJo3bw6JRIL69evj6dOngsRQwNXVFY8fP0ZCQoLSnohCVVY2bNgQa9euxezZs1GnTh3s3LkTQ4cOxcWLFwWvNgLyb0LV+bR379690NDQQO3atdX+ulyYmK5dsTh8+DCWL1+On376CbNnz0ajRo3g6emJpk2bwsPDQ6Vju7i44Pjx49DW1kaXLl3QuXNnlb/RLkqFChXg7e0tS4Ls379frkqjoMKzYJEPoUyaNAnz5s3DrFmzUK1aNYVeiKquJBHLAjAAsHHjRtkqmupeafpTNWvWxO+//45BgwahWrVquHTpEn755RfBV6GuWrUqJk2ahAkTJuDEiRPYs2cP9u/fj8jISDRu3BgbNmwQJI7k5GQsXbq0yH7FQj70r1ChAtasWQNvb2/UrVsXbdq0QZs2bRSq7FXla/reCpF8Lbh/lUgk8PX1Vdivo6ODYcOGqTyOrKwsuRkocXFx0NHRkRU8FChRooTKYwHy34P5+vpi4cKFcq9DM2bMwJMnTzB//nyV9TBmEktgV69exfLly2UXYEhICBITE2FkZCToNLEOHTpgw4YNsLGxgYmJicKTGSH/UL569QqLFi3CX3/9haysLIUniydOnBAsFiA/cXXx4kU4OzujWrVq+OuvvwDk9zNT9qKiKu7u7nB3d8fbt2+hpaWF69evIyIiAosWLZI9+RRKly5dMGfOHOTl5ckaLsfFxWHevHkqm+v8qa1bt2Lp0qUIDw+X+2O9fPlyXL58GV5eXoLcEBZmbGyM3NxcQcdUpnnz5jh16hT69eun7lBQrlw57N69G2fPnpU1dKxevTqaNm2qlnh8fHwQGxsLBwcHREdHo3PnzkhKSsKNGzcwYcIEweIwMDDAhw8f8P79eyQkJGDo0KEA8lc8EzIRDOQ3950zZ47SPjUSiUSwJNaECRMwZMgQ2cOcNWvWwNbWFllZWSpPBCgzePBgrF69GnXr1lXL096RI0fi0KFDuH//Ptq2bYvOnTujWbNmgt2MFkVM165YvHv3TnbDfvbsWfz8888A8qfgZGVlqXTsxYsXIzs7G3/++ScOHjyIHj16oEqVKrKElrm5uUrHL6yggS+Q3wh69+7dcs3u1WXJkiV48eJFkX/LVP2mV0wLwBReXbrw/8XA09MTY8eOlSVkV61aBXd3d9y+fVvliyi1bt0au3btkrteNTQ04OTkBCcnJ7x58wZ79+7Fnj17VBpHYdOmTcPTp0/RoUMHtT/I8PHxAZDfA+rEiROIiYmBv78/qlatijZt2qh8dfuCxLidnR1at24t+IqIhdnY2ODGjRvIy8uDlZUVTp48CSMjI9l+iUQi2BTLypUr4/bt26hUqRJyc3Nx5swZ2NraylV6njlzRpCpwXfu3JEloD/NI7i4uCA4OBgDBgzAzp07VbIwi0Qq5BIMBHt7e7WurFagV69eeP36tVxjuMIK5toKYcSIEUhISECnTp1kT4sKE7KnA5DfxHzevHnw9fVFnTp14OLiAjc3N8THx8PExAShoaGCxfLhwwfs3bsX27dvx/3796GtrQ0XFxfMnTtXsBiA/Mz/+PHjcfz4cdkfKqlUitatW2P58uUqf7E9ceIERowYgQEDBmDEiBFyNx0pKSkIDQ3F5s2bERYWJuhCAJGRkdi+fTt8fHxQtWpVhelZQr2orV+/HoGBgWjWrBmqVaumEIeQUyzFplGjRvDz80PLli3RuXNnLF++HBYWFvDy8kJWVpZgfe5mzpyJO3fuoFSpUrh58yZOnjyJuLg4+Pj4oEmTJpgzZ44gcQBA586dUbduXUydOlXplBshkyaZmZlIT0+HoaEhXr16hf3798Pc3BwdOnQQLIYCTk5OskbD6pSYmCibrpeeno727dujS5cualmxERDXtSsWXbp0wbhx42BmZoaePXsiMjISlpaWCA8Px549e2RTyYSQkZGBmJgYREdH4/Tp0/jpp5/QpUsXdOzYUfAK5evXryMzM1PWiyowMBBt2rQRvH3F3r17P7vf1dVVoEjybdq0CQYGBrKkWkH/mj59+ggaR3p6OjZs2FDkIjDqqNS6fv06SpQoAUtLS1y4cAHh4eEwNzfH2LFjVZokt7S0lDVUF4v69etj06ZNgqws+jUyMjJw8eJFREdHIyoqClKpVOWJ4MePHyM6OhoHDx7Eo0ePZPdwjo6OKlvtrrhSUlLw/v171KxZEwCwe/duNG/eXJBilDVr1mDv3r2YOHEiTp06hV27dmHlypWyWTqXLl3C6NGjMWjQIJVXho0fPx4ZGRkICgpSet+Ym5sLDw8PGBkZyVai/paYxBJY165dMXXqVEGb5ypTt25d7NixQxR9sRo0aIB169bBzs5O3aHIHDt2DGXLloWtrS2ioqIQEhICc3NzeHl5KaxcpQrXrl3D9u3bER0djYyMDEgkEgwcOBDDhg1Ty7S5AklJSbI+VJaWlrKeR6o2cOBA1K1bF5MmTSrymLlz5+L+/fuClX0D+W96X7x4UeTKS0L1l/jccscSiUTllZUtW7bE3r17Ua5cOTg6On62KarQlZVWVlb4/fffYW5ujjFjxqB169bo1q0bbt26BU9PT5w8eVKQODIzM7F8+XI8efIEQ4cORf369eHv74/Hjx9j7ty5gk6fq1evHvbu3SvY7+9/RUBAALZu3QpnZ2elK+UKsXT2p+Lj4xEdHY3Dhw+jRIkS6NixI7p06YKffvpJsBjEdO2KRWRkJLy8vKChoYEGDRogPDwcQUFBsjYNQi52UlhaWhoiIyOxYsUKZGZmyirJhRATE4Nx48ZhxIgRGDVqFADIGpcHBwcLvtK0WKxbtw5r166Fj48PnJ2dAeQvaLRp0yZMmDBBZU2PlZkyZQoOHTqEZs2aKX2AsWTJEsFiUTcxJrE6deqERYsWiSKJde7cOVy4cAEXLlzAtWvX8P/Yu/OwmtP/f+DP06a0oNAwUfYaaxNSUco2hFHWoQjZDWPNUpItlSjMWCa7bGVL9omGsmcpRBHZ14hU6tT5/dHP+WpOjPFx3u9Dz8d1zXU593lfn/v5yXE65/W+79ddtmxZNG3aFDY2NrC1tRV0C3NaWhr27t2Lffv24fnz52jbti06d+4MGxsbwQ8MSkhIwJAhQ9CnTx9MnjwZANChQwe8fPkSa9asUXp7kby8PHh7e8u3bvfv31++XXvu3LnYsGEDbGxssGLFCqX3PbW3t8fixYvRpEmTD15z6tQpTJ06FUePHv3i87OIJbCAgACEh4eLfrKas7Mz/P39VeKN0tbWFps2bRJsn7Wqys3NRXR0NDZv3owrV65AV1cXbdu2RadOnTBq1Cjs2rULtWvXFiyPk5PTJ/9yUHaRxNraWn763odcvXoVgwcPxsmTJ5Wa5X2qdrdXLEuXLsXgwYOho6ODJUuWfPR1I/TKyjZt2iAgIABNmzbFggULIJVKMWXKFKSnp+Pnn3/GxYsXBcnx4MEDVK1aVZC5/k2vXr0wcuRI0fuoXb58GTNnzkRKSgry8/MVnhe6yfDHbuqI0fT4fTKZDBEREQgMDMSbN29EzUJFkpOTcf/+fdjb20NLSwtHjx6FlpYW7OzsBM/y5s0bHDlyBPv370dcXBx0dXXRvn17QVfJdevWDT/99BOGDx9ebPz3339HbGwsIiIiBMtSWFiIqKioElccCX0wgpOTE6ZNm6Zw0t6BAwewaNEiHDx4ULAsLVu2xJQpU9C5c2fB5vwnVTld09zcHNu2bfuk7a9Cndp49OhR/P7775gwYQKqVaumsJpfyM8Q5ubmUFNTQ9u2bTFw4EA0btxY8FMJS3L16lXs378f+/fvR25uLn766SelNxB/X58+ffDDDz/A29tb/vOQyWTw8/NDWlqaYKsZ3534/f5NpLNnzyIrKwutW7cWpLjXuHFj7Nu376O9re/fv49OnTop5RRW9sQSmKqcrObr64uZM2di9OjRMDMzU1iaKeQxu66urggLC8Ps2bMFr6iXJC8vDxERER9srOjv76+Uee3t7VFYWAh7e3sMGzYMrVu3llfRxag1d+nSpdjfh0wmw6pVq9CrVy+Fo2WVTSqV/uvyYX19faX3IvknVSpSFRQUIDY2FmlpaejduzfS09NRu3Zt6OjoKH3u9z9oinF65se0b98ekydPRmBgIGxtbTFu3Dg0bNgQMTExMDU1FSxHmzZtYGNjg+7du6Ndu3aingw4aNAg+Pn5IT09vcRtsEKtmPDx8YFEIsHkyZNF7/8BFPX+UDW3b9/GgQMHsH//fqSkpMDc3FyQE3JDQ0MxdOhQ6OjoIDQ09KPXltbtyhYWFqhatSqSk5NhYWGB5s2bC7oqLTs7W164On78OHR0dNC2bVssW7YMLVq0ELyX2u3bt0vskdm1a1f5ATVCmTdvnvzGl5inFALA8+fPUbduXYXx+vXrC97A/O3bt6Jvly6pmPn06VMYGhoWe80Kcbrmu152HyL0qY0ymQy3bt3CoEGDRM0BALNnz0Z8fDxOnjyJkydPonnz5rCxsYGNjY1oB0kAwA8//ACJRAKJRIJNmzZh8+bNghaxrl+/jqCgIIUDLAYOHCjod4KSeuwJvaOpSpUqSEtL+2gRKy0tTX5Y2pfGIpbADhw4gDt37uD169cwMDCAmZmZKE1b3x2JPXLkSIVChRBvlH379pXPW1BQgIsXLyI2NhYmJiYKP4/w8HClZvmnadOm4cCBA6hbt67CSjllFtmkUin09fWhra2N/Px8SKVSUb/oltS0cf369Rg4cKCgRU4AqFmzJi5evPjRosP58+dFOekyOjoaq1atQlpaGqKjo7Fp0yZUq1YNffv2FSzDy5cv4e7ujhs3bgAoOrhh6dKluHnzJtatW6f0n8ugQYMQGhoq+peFkowbNw5SqRQPHz5Ely5d0L59e0yYMAH6+vpYvHixYDk2bNiAnTt3wtfXF35+fujUqRNcXV1FWQ37rudhSQV5IT8op6WlYdu2bahXr54g832qd9umy5Qpgzp16iicyqps6enp8sLVtWvXUKdOHXTs2BGhoaGCrVjevXs3+vfvDx0dHezevfuD1wl5802VFBQUwM/PD5GRkQCKblC++2ITEBCg1KLsu35px48fh6amJpycnLB48WK0bNlS4RQ+IRkZGeHq1asKnw+uX79eYr9TZYqJicHUqVPln3XFVLNmTRw+fBiDBw8uNh4TEyP4e0v79u2xc+dOQfve/lNJW/gtLS2xefNmwT9bLl68WPDX5sfMmzcPzZo1Q69evQS5AfkxPXv2RM+ePSGTyZCUlIQTJ04gJiYGgYGBKFeuHI4fPy5onmvXrmH//v04cOAA7t69i8aNG2PMmDGC98/U19dHenq6wmv1wYMHJfaY/pa1bdtWvlW8pN89UqkUK1euVFoLJRaxBPL48WMsXLgQhw4dQm5urnxcR0dH3iBUyH3ZYh+za2pqioKCAnnBShmnFnyuv//+G4GBgejUqZOg88bHx+PAgQOIjIzEjh07oK2tDQcHB3Tq1EklVqiJqWvXrli8eDFsbGxKbJz45MkThIaGCn46YUxMDKZNm4YePXrg5s2bAIpOp5o3bx7U1dX/9S7flxIcHIzy5csjLi5OvmXBz88PY8eORWBg4L+upPhfnThxQmHVYuvWrREeHi5KYdHHxwdTpkyBrq4utLS0MH36dPlzs2fPlhexhLyB0LRpUzRt2hQzZszAwYMHERUVhX79+sHMzAzdu3fHzz//LNipXkKePvsxtWrVwosXL8SOIZeXl4eJEyfi0KFD8jGJRIJ27dphwYIFSr+psHLlSnnhytTUFB07dkRQUJC8eayQjhw5UuKfqciqVasQFxeHhQsXyo9ed3Fxgbe3N0JCQuQ9SpRhwoQJ0NTUhJ2dHVq1aoUyZcrg2bNn2LVrl8K1QvZxc3V1xcyZM/HixQv5CcJJSUlYvHgxXF1dBcsBFN3YEXu79DtDhgzBhAkTcOXKFflNi6SkJBw8eBBz5swRNIuBgQFWr16No0ePlngIjFAHnaiKH3/8UaV6Yj19+hRr1qwRvJj3Mfn5+Xj16hVevnyJJ0+eID8/H8bGxoLM/X7hKj09HfXr10fv3r3RsWNHQU9hfd9PP/0EPz8/zJgxo9j73OzZs9GuXTtRMonF09MTP//8M9zd3TF06FA0adIE5cqVw8uXL3HhwgX8+eefuHv3LgICApQyP3tiCeDx48fo1asXZDIZXF1dYW5uLj+y+vLly9i1axc0NDSwbds2pS25+5jnz59DS0tL0FUUFhYWiIuLU6lfHu+0bNkS69evF7Xp8e3btxEZGYndu3fj6dOn8mPvPT09RV3Ga2lpiaioKMF/wRYUFKB///5ISUlBjx490KRJExgYGODly5e4ePEiduzYgRo1amDDhg2Cbkvq2bMnunXrhn79+hX72axfvx5bt27F3r17BcnRunVrLF68GI0aNSqWIzExEUOHDsWpU6eUOn9JDVLFeq0AJb+//PLLLwgJCRHsw9e/efz4MbZv346VK1ciNzcXWlpa6Nq1KyZNmiTqneHs7GzBjrK+dOkSvL290b9/f1SvXl2h34bQS+MDAwMRFRWFGTNmoFmzZpDJZDh9+jTmzZuHHj16KH3Fkbm5ubw48W8nGCs7S5s2bT7pOolEgr/++kupWVRRp06dMGnSJDg6OhZ7rzt69Cj8/PyUeoDFpx7II/T2o4KCAsydOxcRERGQSqWQyWTQ0NCAu7s7JkyYIOgqsTFjxsDa2hr9+vUTbM6POXDgANauXYvr169DS0sLNWvWlLeNENLHmsg/f/4c+/btEzDN/xHj84IqNnYfMGAA3N3dFfqniWHt2rU4fvw4EhISIJPJYG1tDScnJzg5OQlyCt9PP/2E9PR01KtXD506dULHjh1VoriXk5OD3377DX///XexBQbt2rWDv79/qTvo5Pbt25g4cSIuX76ssLPrxx9/xOzZs5X2vZUrsQQQEhKCihUrYs2aNQq9hDp06IBhw4ahf//+WL16tVLv3v3Txo0bsXz5cjx//hwAULlyZQwZMgRubm5Kn1uVa6dubm7yE4bE6tNiZmaGiRMnYvz48YiNjcWOHTuwZ88e7Nq1Cy1atBD0BD5VoK6ujjVr1iAkJATbt28v9v+/YsWK6NevH4YPHy7439eNGzdgb2+vMO7o6Ijg4GDBcrx48aLEo6h1dXWLrfwsLUp6f7l27VqJPe6ElJOTg4MHD2LXrl04c+YMvv/+ewwdOhSurq549OgRZs+ejV9//VXpK2UzMjLwxx9/4Pr16ygsLARQ9DPLy8vDzZs3ceHCBaXO/05KSgpu3boFHx8fhefEaKS+d+9ezJw5s9gXiI4dO0JDQwP+/v5KLxy9a9qbkpKClJSUD14nxBa+zp07q0xPRFV07969ElfI1a5dGxkZGUqdWxV7twFFv6dnzJiBCRMm4NatW9DU1CzxlE8hNGzYEIGBgYiPjy9xxZHQW2B/+uknwbc9lWTDhg0KY6dPn8bmzZsFO+REVVStWlUlGpW/r3v37vDx8cG5c+dgZmamUPgVcmXlypUr4eDggKCgILRs2VLw7Y23b9+GhoYGXrx4gU2bNmHTpk0fvFbIU691dHSwYsUKpKWlITU1FZqamqhVq5agPVZViZmZGSIjI3HlyhVcvnwZmZmZqFChAn788UelL7pgEUsA8fHxmD9//gc/+Onp6WHs2LGYP3++YEWsiIgIzJ8/H3369EGzZs1QWFiIM2fOICAgAHp6eqIdD60KfvrpJ6xZswZWVlaoXLmywlY+IbfiqKmpye98ZGRkYOfOndixY4dg86sSLS0tTJ48GePHj8fdu3eRmZkJQ0NDVKtWTbTtlvr6+nj48KHC3aGUlJQSi0rK0rBhQ+zbt0/hVKj169ejQYMGguWgD/Py8sLhw4dRUFCAtm3bYtWqVcUaqH/33Xfw9PTEtGnTlJ5l5syZOHPmDFq2bIl9+/bB2dkZN2/exNWrVzF+/Hilz//OkiVL4OLiAjc3N9H7fwBAZmZmiQ2Y69Wrh6dPnyp9flXatqdKPRFVkYmJCRITE2FiYlJsPDY2ttT/fHR1dUX/vbN582YYGRnh2rVrCkU/ofu4nT179qPPC73iFABev36NnTt3YsuWLbh16xa0tLRU6qAaIajS++07kydPBlC0CuqfJBKJoEWs+Ph4UVuZCH2S9X9Vs2ZNUXfsvHPu3DmsXbsWaWlpWLVqFfbu3Ys6derAwcFB0Bz169dH/fr1BZ2TRSwBZGRk/Gsz1jp16uDRo0fCBELRG+SkSZMwYMAA+VjHjh1hamqKNWvWCFLEio6O/qRll0K+aQNFv0T09PTg4uKiUk36DA0NMXjwYIXmoMry7pfp+/Lz8xEQEKCw3UjIPgoaGhoq00Otc+fOmDdvHubOnQuJRILXr1/j6NGjmD17tqA91caNG4dBgwbh4sWLkEql+P3335GamoqUlBSsXr1a6fO/OymGPiwlJQUTJkxAly5dPnhDw9zcHIsWLVJ6llOnTiEwMBCtW7dGcnIyPD09Ua9ePfj4+MgPBxDCq1evMGzYMIVCgFjMzMxw7NgxhdXILEzQP7074fPx48eQyWSIi4vDnTt3EB4eLuhJWarE3Nz8o78HhFxZqUoFCnd3d0gkkmIrhN//OQn5c0lKSsKWLVuwb98+5OTkQCKRoH///hg2bBgMDQ0FyXDy5EmFMZlMhgsXLuDevXvFxpV9Uu7t27exdetWDBkyBIaGhsjOzsaMGTNw9OhRGBkZYfTo0ejatatSM7xPlVZZ3rt3DwsWLPjgSe3KvqGvqkUsJyenj77PCbnQISEhAR4eHrCzs8Pdu3chlUrx6NEjLFy4EKGhod98jy4WsQQglUr/dZuTlpaWoNt+7t69C0dHR4VxR0dHLFy4UJAMJZ2M9U9C33kAin6JbNu27ZP7TnyrSjr62dLSEpmZmcjMzBQhker57bff8ODBA3Tv3h1A0VJwmUwGJyenElcyKIuVlRW2bNmC1atXw9TUFImJiahbty58fX0FOf1OJpNhxIgRxZa+v337FuPGjVN47xPqtFFVKKpNnTpV/mdzc3NcvnwZly9fLvFaf39/1KhRQ5ACbXZ2tvxEwJo1ayI5ORn16tWDm5sbhg4dqvT537G3t8epU6cEf4//EA8PD3h7e+POnTto2rQpgKJVFFu2bClxyyOVLomJiWjYsKH8c0leXh5WrFiB3Nxc+Pn5wcjICOPHj0evXr3EjiqK2bNnF3sslUqRnp6O3bt3C7LL4O7duzAxMYFEIsHdu3c/eq2QRen3D4oAim4GpqenY/HixcV+RyhLbm4uoqOjsXnzZly5cgW6urpo3749OnXqhFGjRqFnz56CFbAAYODAgQpFPUDxxqmyt5SnpKSgT58+0NXVRb9+/WBoaIjZs2dj7969cHNzQ7ly5TBz5kyUK1dO8FUtqmDKlCl48OABfvrpJ9Faq6iiLl26FPt8+e59Lj4+HmPGjBE0S0hICEaOHImRI0fC0tISAODt7Q1dXV0sW7aMRSz6NhkbG+PGjRsKx/umpqYKtg1K1RoqvlOtWjXRe+eogpJ6J1BxWlpaCAkJQXp6OpKTk1FYWIh69eoJ3nw/IyMDFhYWCAoKEnTed0rahiD00eH/5OfnV+yDlxirCHfu3Ak1NTVYWFhAW1v7g70AhS64GRsb4/79+6hSpQpMTU3ld3+1tbUFLVBbWVlh7ty5iI2NRY0aNRT6fwjdt6Zbt254+fIlwsLC5H3JKlasiIkTJ5bawgT9n169eqFcuXKwsbFBq1at4OTkhL59+yIjIwMymUwlP88I6UOnA//www/Ys2eP0lf4t2/fXn6gR7t27Up8X5XJZIL32yvpd2GtWrWgp6eHefPmlXiq5Jdkb2+PwsJC2Nvby5vJv+sRJkZ/WlU5HXfZsmWwtbVFSEgINDQ0kJGRgaioKHTu3Fl+orGBgQFWrVolWBHr8uXLmDlzJlJSUpCfn6/wvJCv2ytXrmD9+vWC3Aj9mnzoBvX69etx6dIlQbNcvXpV4eYBULSDad26dYJmEQOLWAIJCwv76Na0nJwcAdMUbYPy8/NDYWGh/I7zuXPnMHv2bDg7Oyt9flVYJfEhvr6+mDlzJkaPHg0zMzNoamoWe57bSuifTE1NRW3qaG9vDwcHB7i4uKB169aCngIFfNqqSiE1a9ZMobmyGKsIR44cif379+PWrVto164dnJ2dYWdnB3V1dcEylKR9+/aYPHkyAgMDYWtri3HjxqFhw4aIiYkR9HW8bt06VKhQAVevXsXVq1eLPSdU3xofHx9MmTJFvrXdw8MDHh4e8gNPSnthgv7Pxo0bkZCQgDNnzmDu3LnIyclBzZo1YWdnh1atWqF58+aCrFj466+/4OTkpHJNqT/EysoKM2bMUPo869atk5/squzDMb6E7777DmlpaUqfRyqVQl9fH9ra2sjPz4dUKlVodC+k77//XrS533fmzBksW7ZM/nnp1KlTKCwsLNYKolmzZggNDRUsk4+PDyQSCSZPniz66qd3B43Qp2nTpg1CQkIEnVNLSwuvXr1SGL93716pOCWRRSwBVK1aFQcPHvzX66pUqSJAmiLDhw/H9evXMXr0aHlBSSaToU2bNoJsg1Ll0wn79+8PoOgL6D9PZxLjxCxSXVeuXIGvr6/od81CQkKwZ88eTJgwAbq6uujcuTNcXV1L7ZZYVVlFOGbMGIwZMwbJycnYu3cv/Pz8kJ2djQ4dOqBz587yGwhCGzduHKRSKR4+fIguXbqgffv2mDBhAvT19bF48WLBcqhC35rIyEj89ttvxT7w/fLLLwgJCYGxsbGIycSlqj0RxdS0aVM0bdoUw4YNQ0FBAa5cuYIzZ87g3LlzmDBhAnJzc2FlZYWWLVsqtXfl6NGjUbFiRXTv3h3du3cXfdXrv4mOjhbkRMvmzZuX+GexlbS1MSsrC8uXLxfkpkF8fDwOHDiAyMhI7NixA9ra2nBwcECnTp1U4oby0aNHsWzZMqSkpEBTUxO1a9fGkCFD4OTkpNR5MzMzUalSJfnjc+fOQU1NrVijfX19fUilUqXmeF9aWhq2bdsm3+4vpkmTJmHWrFmYMGECqlWrplA0Z5GruDNnzgheeGzbti0WLlxYrJdqSkoK5s2bV2LLIGUTusm8RKbK1QRSihcvXsDAwADq6uq4efMmrl+/jvv378PS0lKwL1VTp07F9OnToaenJ8h8/8WZM2c++rwqfTgicbm4uEAikcDV1bXEX14f2l6hLFlZWdi/fz+ioqKQkJCAevXqwdXVFe7u7oLmoA+7cOEC9u3bhwMHDkBdXR0dO3ZE586dlX6qyz9XHP3Ty5cvoa+vr/RVYqrWt8bc3Fxha7ulpSWioqJK9arb//KeoSpFY7FIpVJcvHgRUVFR2LNnD3Jzc5V6A+PmzZvYtWsX9uzZg8ePH6NZs2bo3bs32rVrJ+oKGwcHB4WiyJs3b5CVlYVx48YJ2m8vNzcXmzdvRkpKCgoKCgAU3YjMy8tDUlKSoAX0khrey2Qy6OrqIjg4GK1btxYsy+3btxEZGYndu3fj6dOnkEgk6NatGzw9PQVvgwAUbS0cPXo0HBwc0Lx5c/lJ6cePH8fy5cuVuo2vdevWCA4OhpWVFQCgQ4cOMDAwQEREhPyagwcPYsGCBTh8+LDScrzP1dUVkydPRosWLQSZ72OOHDmCSZMmITs7u9i4GDf0PTw80L17d7Rv3170FWr9+vVTGMvKykJqair69++PKVOmCJbl9evX8PT0RGJiImQyGXR0dJCbmwsLCwusWbNGvjJVCAkJCRgwYADs7Oxw4sQJ7Nu3D+vWrcOmTZuU1mSeRaxSJjw8HAsWLMDatWvRuHFj+biHhwfOnz8PHx8fwb94q7Lnz59DS0sL+vr6YkchFdS4cWOVuWv2vrdv32L79u0IDg5GdnY2Vw+qIJlMhoiICAQGBuLNmzdK/zuysLCQ94t5R4wVR+/n+NBpZkJ+SGYRiz5HWloajh07huPHj+P8+fPIz89Hw4YN0bJlS7Rq1UqwAzVOnDiBXbt24a+//oKWlha6du2KXr16oU6dOkqf/5+WLFmi8O9ZS0sLlpaWxVa3CGH69OmIiopCgwYNcOnSJVhaWiI9PR3Pnz+Hh4eHII3m3zl9+nSxn4tEIoGmpibq1Kkj2pafwsJCxMbGYseOHYiNjUVBQQFatGiBNWvWCJrD1dUVrVq1UtgBsmjRIpw+fRpbtmxR2twzZszA/fv3sWDBAhw5cgTTp0+Hl5cXBg4cCKCoMNG3b19YWVnB19dXaTned+nSJXh7e6N///6oXr26wuonIf8dtW3bFrVr10avXr2go6Oj8LyyT4583/Tp03Hw4EFIJBJ07NgRPXr0EK1X15QpUxTe5zQ1NfHjjz+iS5cuorSLOHHihLwvb926ddGqVSvBt5u7u7vDxsZG3mT+3WeoRYsW4fjx49ixY8cXn5PbCUuR2NhYzJkzB+7u7grLzwMCArBq1SrMmDEDJiYmgr45qaKNGzdi+fLl8r4olStXxpAhQxSOXqfSrVatWnjx4oXYMeROnjyJqKgoHD58GOrq6ujatStcXV3FjkXvuX37Ng4cOID9+/cjJSUF5ubm6Nixo9LnLel+1bVr1wQ/xOJr61tD9M6RI0dw7NgxHDt2DA8ePICJiQns7OzQp08f2NjYCL6yXCKRwM7ODnZ2dnjz5g3279+P3bt3o2vXrmjYsCF69uwp6E3JX3/9VbC5/s3Ro0fh7++Pzp07o127dpg7dy6+//57jBs3rsSt/8pkbW0t6HyfQk1NDU5OTnByckJGRgZ27typlC+Z/+bGjRslnojerVs3pTem/vXXX+Hm5gZbW1vIZDI0btxYvsomPDwcS5YsQZkyZTBixAil5nhfSkoKbt26VeJpuEKvfnr69CnWrFmjEjdz5s6dixkzZuDgwYPYtWsX+vTpg5o1a6J79+7o2rWroL0r58+fL9hcn8rW1ha2traiZhCjyTyLWKXI6tWrMXjwYEycOFHhOWNjY0ybNg1SqRQrV64s1UWsiIgIzJ8/H3369EGzZs3ky5sDAgKgp6en9BN26Ovh6+urEnfNAgICsHfvXjx79gw2NjaYNWsW2rZtK+rWkszMTNy+fRsWFhbIz88vFU0mPyQ9PV1euLp27Rrq1KmDjh07IjQ0FGZmZmLHE5Qq9q1Rhb4wpPpGjhyJqlWrwsPDAw4ODqIe5vFPurq66NGjB3r06IGUlBRMmzYNM2bMUHoR67+crCfkZ6dXr17hxx9/BADUrl0bly9fhpmZGYYNG4bffvsN3t7eSp1/6tSpn3yt2AejGBoaYvDgwUrt4/YhRkZGePTokcLvwUePHin03vvSKlWqhD179uDEiRNQU1ODra2tvMm7lpYWXFxcMHDgQFSuXFmpOd63ZMkSuLi4wM3NrcTVT0Jq0qQJrl+/rhJFLAAoU6YMunbtiq5du+LJkyfYvn07QkNDERwcDEdHR3h4eMi3hn5pZ8+e/eRrhVwt966H84cIeaNQjCbzLGKVItevX//XE2J69Oghyi8yVbJ27VpMmjQJAwYMkI917NgRpqamWLNmDYtYJKcqd82OHDmCvn37wsXFRfRm1AUFBfDz80NkZCSAop4SQUFBUFNTQ0BAgOj9DIS0cuVKeeHK1NQUHTt2RFBQkChbfVRRdnY21qxZgwsXLiA/P19htZhQH8D8/PyKvS5LewNzKpmdnR3OnTuHxYsX48yZM7C3t0fLli1VosHx27dvERMTg6ioKMTFxaFq1ar47bfflD7vP/u/SCQSyGQyaGpqQkNDAzk5OVBXV4eBgYGgn50MDQ3x/PlzVK1aFaampkhJSQEAVKhQAc+ePVP6/Onp6fI/FxYW4uLFizA0NISFhQU0NDRw7do1PHv2TNB+WKrIyckJs2fPRnBwsPwgmuTkZMydO1fpjd2Boi/eJf0diNVW5dWrVxg2bBhMTExEmf993bt3h4+PD86dOwczMzOFU6979OgheKbc3FwcPHgQUVFROH36NKpWrQoXFxc8evQIgwcPxrBhw5Sycs7d3V3+3gag2IFo7z8GhDvQCYDC532pVIr09HSkpaX9a4HrSxOjyTyLWKWIVCqFpqbmR6/R19fH27dvBUqkmu7evVviPzhHR8cSlz1T6aUqd80+5fRToaxatQpxcXFYuHCh/AuOi4sLvL29ERISImgvErEtXLgQmpqacHBwgIWFBQBg3759JV47duxYpedRtRVHM2fOxP79+2FnZ4cKFSqIkqFZs2bIyMgoNmZpaYnMzExkZmaKkolU06pVq/D27VucPn0ax48fx+rVqzFjxgzUqFFD3gvL2tpa0EL9uy3khw4dglQqRbt27bBq1SrBtrBduXJF/ud9+/bhzz//xLx589CgQQMARdvFpk2bhp9//lmQPO84ODjA19cX/v7+aNq0KebMmQMnJyfs27cP3333ndLn37Rpk/zPCxcuRJUqVTB//nz5a0MqlcLHx+dfP5N/68aMGYMLFy6gW7duKFu2LCQSCd68eYMffvgBkyZNEiRDVlYW9u7di/PnzyMjIwMVKlSAlZUVnJ2dBd8ibG9vj1OnTolSIPqndyfUrl27VuE5iUQiaMbTp09j165dOHjwIAoLC9G+fXusXr262Gru2rVrIyQkRClFrEOHDhXL8scff2DKlCmwtLSEhoYGkpKSMH/+fAwbNuyLz/0xQUFBJY4vWrSoxFVRyjR58mR4enrKt+d27dpV3mReWf+W2di9FOnZsyfc3Nw++mFi9+7dCAsLw549ewRMplratWuHqVOnKtwF+uuvvzBr1iwcO3ZMpGSkapo0aYLo6GhR7pqp6naFTp06YdKkSXB0dCzW3PHo0aPw8/NDbGysYFnE9ql3kiUSCWJiYpSaxdzcHB06dCj2BXvfvn1o3bq1aCuOWrZsiSlTpqBz586CzEf0pd27dw/Hjx9HXFwczp07h9zcXDRt2hSrVq1S2pzXrl3D7t27sXfvXjx9+hTm5ubo0aMHunTpAgMDA6XN+28cHR2xaNEiNGnSpNh4UlISRowYgbi4OMGyvH79Gl5eXrCzs8Mvv/yCIUOGID4+HhoaGggICICzs7NgWZo1a4YtW7YonP6XlpaGHj164Pz584JlUUWFhYU4fvw4UlJSIJFIULt27RJPulSG06dPY8KECXj+/DlMTU1RoUIFvHr1Crdu3YKhoSGCg4MF7Wm2bt06hISEwM7ODjVq1FBY/STEzS5VZG5ujvr168vf50oqLp48eRKRkZEIDg5WapYOHTrA19dXoQfVmTNnMGXKFEFPPv2Qu3fvonv37jhz5ozgcwvZZJ4rsUqRrl27YvHixbCxsSlxj/eTJ08QGhpa6k8n7Ny5M/z8/FBYWIimTZsCAM6dO4fZs2cL+sGHVJ+Yd81UdbvCvXv3StwuV7t2bYUVL986Vfgw844qrjh6+/YtGjZsKMrcRF/C999/D0tLS8hkMujr6+PQoUNK/+LQrVs36Ovrw9nZGT169JCvehJbZmZmiavQCgsLkZubK2gWfX19/PHHH/LHYWFhSE5ORsWKFQVfkaqpqYn79+8rFLFu3ryp9L5Pqio1NRVLlixBQEAAdHR08NtvvxV7jVhbW5e4AuhLunPnDkaNGgUHBwdMmjSp2Aq9p0+fYsGCBRg5ciR27dolWF+odevWoUKFCrh69SquXr1a7DmJRFJqi1i7du2Sbzf9EBsbG0H6OT958qTEth0GBgYqc9DTjRs3SjzMRwhCNplnEasU6du3Lw4cOCD/4NOkSRMYGBjg5cuXuHjxInbs2IEaNWpg0KBBYkcV1fDhw3H9+nWMHj262L7nNm3aKBwDTKWblZUV5s6di9jYWMHvmqnqdgUTExMkJiYqrE6LjY1VmQahpdGGDRvEjqCgffv22LlzpyC9e4i+hJycHFy6dAkJCQk4f/48Ll26hDdv3qBOnTqwsbHBokWLlN7Yd/To0Rg8eLDojZ//ydraGn5+fggICJA3vU9NTYWfn5/gN1MsLCwQHx8PQ0NDAEUFgB9++AEPHjyAs7MzLly4IFiWzp07Y9q0aRg7diwaNGgAmUyGCxcuYOnSpejbt69gOVRFWloaevfujXr16iErK0v+Op4wYQKMjIxw//59LF26FLGxsUp93YSFhcHKyqrElTuVKlVCQEAARo0ahT///BOzZs1SWo73iX3j67+sgBNyVb25uTnS09OxadMmpKWlYe7cuThx4gTq1q2LH374QbAcANCoUSMsXLhQftgXALx48QJBQUGCn0T6bsvn+7KysnDy5En89NNPgmZ59uwZ5s+fj8uXL+Pt27cKRTRlvF64nbCUycvLQ0hICLZv317s7nvFihXRo0cPDB8+HNra2iImVB03b97E9evXAQD16tXDd999h4ULF5bYxJtKp49tFxNii9g7qrRdITIyEkFBQRg+fDhCQ0Ph5eWFO3fuIDw8HN7e3ujVq5dgWUi1BQQEIDw8HDVq1ECNGjUUTtNkI3VSJa6urkhJSYFUKkWVKlXQokUL+V1nIY94t7CwQFxcnKBzforHjx9j8ODBuHnzJnR1dSGTyZCdnY1GjRph5cqVKFeunFLn37dvH44fPw4A2LlzJzp16qSwMuzevXtIS0tDfHy8UrO8Ly8vD3PmzMHOnTuRn58PoOikNTc3N0ycOFHlehUq25QpU/Dy5UssX75cPvZ+6wGgqFeWTCbDkiVLlJbDyckJ8+fP/+gpuefOncPkyZMFLy4dO3YM169fh5aWFurWrQtra2ulbcl635IlSz759Th69Gglp/k/qamp6NWrF0xMTHDr1i3s378fISEh+OuvvxAWFiboiYCpqanw8PBAdnY2qlevDplMhjt37qBixYpYv369oAd9uLu7F3sskUigqakJS0tLDBw4UNBTwUeMGIHExER06tSpxPd6ZbxeWMQqpaRSKe7evYvMzEwYGhqiWrVqpe4X6fvevn2LoKAgREdHQ11dHV27dsXEiROhrq4OADh+/Dh8fX3x6NEjhSW+RGKztbXF/PnzYW9vX2z88OHD8PPzE7QXCVC0SmzFihV4/PgxgKJjtIcMGQIPDw9Bc5Bq++cHsPc9f/78g03wicQwevRo2NjYwNbWFjVq1BAth7m5OeLj41WuiAUUnU574sQJpKamAigquLVo0UKQz5cPHjzApEmTIJPJcP78eTRq1KjY6miJRAJdXV24ubkp/K4Uwps3b3Dr1i0AQK1atVRuJZ1QHBwcsGDBgmKFh38WseLj4+Hl5aXUzy4NGzbEoUOHUKVKlQ9e8+jRI3To0AGXLl1SWo73vXr1CoMHD0ZSUhLKli0LmUyGnJwcNGrUCKtXrxa80byqGDJkCKpXrw4fH59ir5Vp06bh9u3bxXYmCCErKwvR0dHF3uecnZ1L7b9poOjf8MqVKwUtKHI7YSmloaEh6ocwVRMcHIwtW7aga9eu0NLSwtatW6Grq4uRI0dizpw52Lx5M6pXr45169aJHZVIwYe2KyxZsgT9+vUTPE/fvn3Rt29fZGRkQCaToUKFCoLcRaSvS0lbHE+fPo3Nmzfj4sWLwgci+oilS5eKHUHlqauro2rVqnj9+jW0tLRQtWpVwW6QVq1aFeHh4QCKfieGhYWJ2uj+fdnZ2YiKipKvrqlTpw46duxYKosSGRkZCq0FXF1di/0satSoofRejRUqVMD9+/c/WsS6d+8eKlasqNQc7wsKCkJWVha2b9+O+vXrAwASExPh5eWFRYsWKX0nSGhoKIYOHQodHR2EhoZ+8DqJRIIxY8YoNcv7EhMT5addv8/T01OUnrR6enro3Lkz0tLSoKWlhWrVqolSwDp79myJ4+9WZH333Xcl9u9SBh0dHVSqVEmQud5hEYsIRScPent7o0+fPgCA1q1bY86cOXj69CkiIiIwaNAgjB07VmG7C5Vu5ubmH/2AnpycLEiOiRMnIjc3F7NmzYJUKoVMJkOZMmXg7u6O3r17C5Lhnfz8fCxYsABVqlSRr7xydnaGo6Mjxo8fz2IWKXj9+jV27tyJLVu24NatW9DS0oKLi4vYsYhUVnR09CdtFRHyC15eXh4mTpyIw4cPy/uhSCQStGvXDgsWLBD089ObN29w584dlWh6/+jRI/Tt2xfPnj2DqakpCgsLsXnzZqxYsQKbNm0q8aClb1m5cuXw8uXLYo3U/1mcef78ubyfmbLY2tpi/fr18gOcSrJ+/XrY2dkpNcf7YmJiEBwcLC9gAUU9mHx8fODl5aX0Itbu3bvRv39/6OjoYPfu3R+8TugiVmFhIaRSqcL4q1evBO/7KpPJEBgYiI0bN8ozaWlpoW/fvvDy8hI0i4eHBwoLC+W5ACh8J2nevDmWLFmi9IK+q6srwsLCMHv2bMFuXLCIRYSik0je/0XVqlUrPHjwAIcOHcKaNWsEb9ZHX4fZs2cXeyyVSpGeno7du3cL+stMS0sLs2bNgpeXl3y7wvPnz7Fz5060adMGSUlJgmVZuHAh9u3bh7lz58rHBgwYgCVLlkBLS0vQDz6k2pKSkrBlyxbs27cPOTk5kEgk6N+/P4YNG6b0LzBEXzN/f/9/vUYikQhaxAoJCcH58+cRGhqKZs2aQSaT4fTp05g3bx6WLVsm6Mlq+fn5KrO1JyAgAJUrV8aWLVvkBavHjx9j7NixCA4ORkBAgMgJhfXDDz/gr7/++uhpcwcPHkTjxo2VmmPo0KHo3r07Zs+ejV9//RXly5eXP/fixQsEBwfj1KlT2L59u1JzvC8nJ6fElWFVqlQR5BTh93t/id1k/n12dnZYvnw5FixYIB/LyMjAggULBDmR8H1//vkntm3bhvHjx6NZs2YoLCzEmTNnsGzZMhgbGwvaNmP+/PnyFXrvirEXL17E7Nmz8csvv6Bx48aYP38+FixYoJTDCd7f6VFQUICLFy8iNjYWJiYm8nY877xbJfslsScWEUruMWFpaYnZs2ejc+fOIiajr1FUVBT27NmDP//8U9B5S1rR8vPPPwt2sg5Q1O8iICAALVq0KDYeFxcHHx8fHD16VLAspHpyc3MRHR2NzZs348qVK9DV1UXbtm3RqVMnjBo1Crt27ULt2rXFjkmkslS1J5aDgwN8fHzQtm3bYuOHDx+Gv7+/oF+KV6xYgR07duCXX36BqampwoFFQn7xbd68OVauXIkmTZoUGz9//jxGjhyJU6dOCZZFFfz111+YOHEiQkJCSjx9MC4uDiNHjsSKFSuU/vcUHx+P8ePH482bNzAzM0P58uXx+vVr3Lx5ExUqVMDChQsF7fHTp08f2NnZ4ddffy02Hhoair///hs7duxQ6vx79uxBhw4dVG7XyePHj+Hm5oZXr17h9evXMDU1xcOHD2FoaIiNGzcK2ky9bdu2GDVqlMJq8R07dmDlypU4cOCAYFnatWuHGTNmoFWrVsXGT548CV9fXxw6dAgXLlzAr7/+qpT+clOmTPnkVVefcuPlv+JKLKKPaNSokdgR6CtkZWWFGTNmCDafKq1oefXqVYl78E1MTPD8+XNBs5Dqsbe3R2FhIezt7TFs2DC0bt1a/oGZ99SI/p2qHsKTmZmJunXrKozXq1cPT58+FTTLokWLABStVPgniUQi2FZ/oOh9TV9fX2HcwMAAubm5guVQFW3btpWfhv7uhM8KFSogMzMTZ86cQVxcHAYMGCBIodHOzg5//fUXdu3ahYsXL+Lly5cwNjZG79690aVLlxL/3pRpxIgRGD58OK5duyZfWXP27FkcPXoUixcvVvr8kydPVjhtNTg4GIMHDy62Uk1oxsbGiIqKQnR0NJKTk1FYWIi6deuia9eugveVe/LkSYlbUJs2bQpfX19Bszx9+rTEAl7lypXx6NEjAEU/u9evXytl/jFjxuC7774TrU0Ii1hE/19JHwxV9cMiqbbo6Gil7z8vaUVL+/bt5StaevbsKcqWLAsLC2zbtk1hO+XOnTtL/IJDpYtUKoW+vj60tbWRn58PqVSqcnd9iVSZqhZ7zczMcOzYMbi5uRUbj42NVWjkrWwxMTGCzvcxDRo0wPr16+Hn51dsfP369cV6H5Um3t7eaN68OdavX4+QkBAUFhZCIpGgYcOGWLBgATp16iRYFn19fbi7u3/wtNysrCzBCiUODg5YvHgx/vzzT4SEhAAoKgIvWbJEYYWjMpT03hIeHo5evXqJWsQCihqH9+zZU/746dOnn9QX8EszMTHB+fPnFd7Tzp8/L3h/uwYNGmDlypWYO3eu/CTWgoIChIWFybfrnjlzBiYmJkqZv02bNoiLixNtVTCLWET/n5+fH8qUKSN/nJ+fj4CAAJQtW7bYdYGBgUJHIxXl4OCgUOh88+YNsrKyMG7cOKXOraorWn799Vd4enoiISFB3tMiKSkJly9fxu+//y5aLlIN8fHxOHDgACIjI7Fjxw5oa2vDwcEBnTp14k0Dok/g4uJS7LOKqvDw8IC3tzfu3LlTbBXJli1blN6Q+p++//57AEWrw27fvg0LCwvk5+eL8qV3zJgx6N+/PxITE2FlZQUAOHfuHG7evInVq1cLnkdVtG/fHu3bt0dBQQFevHiBcuXKCd6kOzc3F6dOnYKamhqaNWum0EctJiYGs2bNwt9//y1Ypnbt2qFdu3aCzfdvVKFonpmZifnz58PDwwN169bFsGHDcPz4cVSvXh1hYWGCFsl79eqFOXPm4OXLl8Xe537//Xd4enoKlgMo2s7n4eGBU6dOoX79+pDJZEhOTkZWVhbCwsJw9uxZTJ8+XWnvv2K/NtgTiwj44B2YkpR0LDyVTkuWLFH44q2lpQVLS0ul91H48ccfoa+vDzs7O9jZ2cHR0VFecK1fvz52794tWm+hS5cuYd26dUhNTYWmpiZq1qwJT0/PjzZypdLn9u3biIyMxO7du/H06VNIJBJ069YNnp6eqFWrltjxiOg/Wrt2LcLCwvDs2TMAQMWKFTFkyBAMGDBA0BwFBQXw8/NDZGQkgKJG4UFBQVBTU0NAQIDgRcDExESsWbMG169fB1C0umbgwIFsWSGia9euwdPTE8+fP4dMJkPVqlWxbt06VKtWDZmZmfDz88O+fftQq1Yt7N27V6lZ8vLyEBkZCWdnZ5QrV04+HhYWBm1tbfTu3VuQAt+H+gNHRUUJvpryfVOmTEFCQgKWL1+OlJQUeHl5wd/fH9HR0VBTUxP0BmlhYSH8/f2xefNmFBQUQCaTQUNDA3379sXUqVMFvxn35MkTbNmyBVevXoWGhgbMzc3Rt29fGBoa4saNG3jy5AlsbW2VMrfY/RlZxCIi+h+9efNGfof35s2bgnwBz8nJka9oSUhIKLaiZcKECWyQTV+NwsJCxMbGYseOHYiNjUVBQQFatGiBNWvWiB2NiD5RZGQknJycYGhoKO9/KNaXm5UrV2LLli2YPHkypkyZgj179uDGjRvw9vZG165dBT092NvbG56enjAzMxNsTvp3np6eePLkCWbMmAEtLS0EBQWhfPnyGD9+PAYNGoSnT59iyJAhGDFihFK3vOfk5MDT0xMXLlzAunXrit0AnTFjBrZv347mzZtj+fLlSi++qmoRy8bGBn/88QcsLS3h5eWFzMxMLF++HKmpqejbty/Onj0rWJa4uDg0a9YM+fn5SEtLAwDUrFlT8N5c//T8+XNoaWkJ2sfN3NwcU6dO/aQVrso4KZdFLCKiz/T48WOMGDECtra2mDhxIoCik4hq1KiBP/74Q7AP8Kq2ouXcuXM4f/488vPzFZYbjx49WvA89PXIyMjAzp07sWPHDqXf/SaiL6dZs2bYsmWLSqyi7NSpEyZNmgRHR8diX8KPHj0KPz8/xMbGCpbFysoKu3fvVlpfGvo81tbWCA0NlZ+kfPfuXfz888/yrahBQUGCrB7/448/sHXrVixfvhwWFhYKz1+5cgXDhg3DgAEDMGTIEKVmKakoMXv2bIwePRoVKlQodq0yihIf0qRJExw4cADfffcdWrVqhSFDhqB///5IT0+Hi4sLzp8/L1gWa2trrF27tsS/KzFs3LgRy5cvl984qFy5MoYMGaLQm1AZPvXfh7IO02BPLCKizzR37lyULVsWvXr1ko9t3boV3t7eCAgIEKx/mpmZGSZOnIjx48fLV7Ts2bMHu3btEnxFyx9//IHFixdDV1dX4c6URCJhEYs+ytDQEIMHD8bgwYPFjkJE/0GtWrWQlJSkEkWse/fuoU6dOgrjtWvXRkZGhqBZHB0dsWbNGowdO1bpB77Qp3v9+jVq1Kghf1ytWjXk5+fDyMgIy5cvh7a2tiA5oqOj4eXl9cGiSP369fHbb79h3bp1Si9iAYC/v7/CWHBwcLHHEolE0CJWrVq1EBsbC2NjYzx9+hT29vYAgIiICMF3HFSuXFllTtqOiIjA/Pnz0adPHzRr1gyFhYU4c+YMAgICoKenh27duik9g5jbCVnEIiL6TKdPn8aGDRtQvXp1+ViNGjUwffp0DBo0SPA8ampqcHJygpOTU7EVLULatWsXhg4divHjxws6LxERiad27dqYNm0aVq9eDTMzM4UigJCH4piYmCAxMVFh9ZMYJyU+ePAA0dHR2LRpEwwMDBSahwu5Koz+T2FhofxEt3c0NDTw22+/CVbAAopeH//WG61Zs2aYO3eu0rNcu3ZN6XN8jjFjxmD06NGQSqXo3LkzzMzMMG/ePGzatEnwA4NatmyJkSNHws7OrsT3ubFjxwqWZe3atZg0aVKxnoMdO3aEqakp1qxZo/QiltiH8bCIRUT0mQoLCyGVShXG1dTUkJeXJ0Ki/yPWipbHjx+je/fugs5JRETiSk9Pl5++9+LFC1GzDBo0CH5+fnj8+DFkMhni4uJw584dhIeHw9vbW9Astra2SmusTF+e0KtK9PT08OrVq49ek5OTo3BSemni4OCAv//+G0+ePJFvYfvpp5/Qq1cvwVdiHTx4EBUrVsT169flBzW8I5FIBC1i3b17F46Ojgrjjo6OWLhwodLnF7sjFYtYRESfqUWLFggODsaiRYvk2wRev36NkJAQNG/eXOR04rCyskJSUhJMTU3FjkJERAJRpZObe/Togby8PKxYsQK5ubnw8/ODkZERxo8fX2z7vxC4hV41SSQSFBYWorCwEEDRF/J/jr2jpqamtBw//vgj9u7dix9++OGD1+zZs6fUn+5saGgo78v17NkzPHz4UJRtbEeOHBF8zg8xNjbGjRs3iu0GAYDU1FSUL19e6fO7uLgIftLr+9jYnYjoM927dw99+/bF69ev5b9E7ty5gwoVKmDVqlXF+i2UFhEREQgKCkK3bt1gZmamcKqPkH0UiIhIuS5fvozo6GiUKVMG7du3R/369cWOVExGRgZkMpn8C+/Tp09RqVIlpc+7du1aREVFQUtLC506dUL//v2VPid9OnNzc4XtUO8KWf+kjKbU7yQkJGDAgAGYOnUqfvnll2IFM5lMhvDwcMyfPx+///47HBwclJZDlV27dg2jR4+Gv78/zM3N0a1bN9y/fx+amppYuXIlbGxslJ7h0aNHOHz4MLS1tWFvbw9jY2Olz/lvQkNDsWPHDvj4+KBp06YAig5Wmj17Njp16iToKaxiYBGLiOh/kJWVhejoaKSmpkJTUxO1atVCly5dBO2poEo+drdQWSeUEBGR8I4ePYpRo0bJf9/l5eVh7ty5+Pnnn0XNZWFhgfj4eBgaGhYbf/DgAZydnXHhwgWlzh8WFoaFCxfCxsYG6urqiI+Ph4eHByZNmqTUeenT7dy585OvdXFxUWKSolWMAQEBMDAwQKNGjWBgYICXL18iMTERWVlZGD9+vCh9VlXFoEGDoKGhAX9/fxw4cAC///47du/ejU2bNuHEiRPYunWrUue/cOECBg0ahJycHACArq4uQkND0bJlS6XO+2/evn2LcePG4ciRI/Liq0wmQ5s2bbBo0SKFm8jfGhaxiIi+gOfPn0NLSwv6+vpiRyEiIlK6Pn36oHbt2vD19YW6ujr8/f0RExMjypabffv24fjx4wCKChSdOnVS2Opy7949pKWlIT4+XqlZnJ2d0bdvX/Tr1w9A0YEn8+bNw5kzZ5Q6L329rl27hoiICFy5cgUvX76EoaEhLC0t4erqqhInforpxx9/REREBGrVqoXhw4ejXLlyCAgIwN27d9G5c2dcunRJqfMPHDgQ2tra8PPzg7q6OubMmYOUlBTs3btXqfN+qps3b8r7c9WrV6/UvF7YE4uI6H+wceNGLF++XH7kbuXKlTFkyBC4ubmJnExc165dQ1paGlq3bo0XL17g+++/FzsSERF9QampqQgICICmpiYAYNSoUdi4cSMyMzNRrlw5QbM0adIE4eHh8mbD9+7dK3b6nEQiga6uLvz9/ZWe5d69e8UaLnfs2BFTpkzBs2fPULFiRaXPT5/v9evXiI6ORmFhIdq1a4fKlSsLMq+5uTl8fHwEmetDQkNDMXToUOjo6CA0NPSj1wrZwFxdXR1aWlrIz8/H2bNn5T+nN2/eKJz2qQyXL1/G5s2b5a+FKVOmoHXr1sjKyoKenp7S5/83tWrVKla4ys7ORnBwsOivJ2VjEYuI6DNFRERg/vz56NOnD5o1a4bCwkKcOXMGAQEB0NPTU/rxtqooNzcXo0aNQnx8PCQSCQ4dOgR/f388f/4cK1asEKTZJBERKV92djZ0dXXlj8uXLw8tLS28fv1a8CJW1apVER4eDgBwd3fH0qVLBc/wztu3b4utAitTpgx0dHTk25FINYSHhyMyMhIA0KtXL3Tq1Amurq64f/8+AGDhwoXYsGHDR5uuf0t2796N/v37Q0dHB7t37/7gdUKfwtekSROsWLECFSpUwNu3b2Fvb4/Hjx9j4cKFaNKkidLnf/PmTbHPrsbGxtDU1ERmZqbgRay3b98iKCgI0dHRUFdXR9euXTFx4kSoq6sDAI4fPw5fX188evSIRSwiIirZ2rVrMWnSJAwYMEA+1rFjR5iammLNmjWlsoi1ePFiPH36FBEREfJGtiNGjMCkSZOwYMECzJkzR+SERET0JZTUCFtNTU30o9dV6aREUk0rV67EsmXL0LVrV2hra2Pp0qXYuXMnvvvuO2zatAkFBQWYPn06li9fjsWLF4sdVxDvbwNWpVP4pk+fjt9++w3379/HtGnTYGhoiFmzZuHGjRsICwtT+vyFhYUK73Pq6uoKp1gKITg4GFu2bEHXrl2hpaWFrVu3QldXFyNHjsScOXOwefNmVK9eHevWrRM8m9BYxCIi+kx3794ttmXgHUdHRyxcuFCEROI7dOgQ5syZg4YNG8rHGjZsiFmzZmH8+PEiJiMioi+tpNPcxJaWlgY/Pz9cuHAB+fn5Cs8r+4ARiUSikj8X+j/bt2/HvHnz0LFjRwBFfcx69eqFVatWyU+eGzduHIYNGyZmTJXwrlgjk8mQl5eHS5cuoUWLFoLNb2Zmhl27dhUbGzFiBKZPny5fgVRa/PXXX/D29kafPn0AAK1bt8acOXPkN48HDRqEsWPHfvNN3QEWsYiIPpuxsTFu3LiB6tWrFxtPTU0ttdvmnjx5AhMTE4XxypUr49WrVyIkIiIiZfHz8yu2dS4/Px8BAQEoW7ZssesCAwMFyzR79mzcu3cP48aNE6VnjUwmQ7du3aCmpiYfy83NRd++fRW+dMfGxgqcjoCikyobNWokf9yoUSNoaGigSpUq8rEqVaqU2s8tiYmJmD59Om7cuFHi80KeNN2+fXu4urrCxcVFXmCsVKmSYPMDRSeOvn/quFQqxdq1a2FgYFDsOmVvs3z69Cns7Ozkj1u1aoUHDx7g0KFDWLNmDaytrZU6vyphEYuI6DN17twZfn5+KCwsRNOmTQEA586dw+zZs+Hs7CxyOnHUrl0b8fHx6N27d7HxPXv2oE6dOiKlIiKiL61Zs2bIyMgoNmZpaYnMzExkZmaKlApISkrCihUrYGVlJcr8o0ePFmVe+nT5+fnFihIAoKmpKT+kAChaUSfGlrFnz54hPz9fYVtu1apVBcswf/58+Yl8c+bMwZQpU3Dnzh2Eh4cLWpAGgG7dumHnzp1YsmQJWrRogR49eqBNmzaCrTaqWrUqDh48WGysUqVKOHr0aLExIXqF5efnF7tBoK6ujjJlymD69OmlqoAFsIhFRPTZhg8fjuvXr2P06NHyrQMymQxt2rTBuHHjRE4njlGjRmHcuHFITU1FQUEBIiMjcevWLfz111//etoNERF9PVS195Suri709fVFm59FLPoc58+fx5QpU3D37t1i4+96zwm5+ik5ORnr1q1Do0aNEBERgXr16qFv37747rvvsG3bNvk2TCGMHDkSI0eOREJCAnbu3AkfHx/MnDkTXbp0Qffu3WFhYaHU+VWpP9iHvL+qsLRgEYuI6DOpqalh/Pjx8PT0xIkTJ1CrVi3UrVu32FG3pU2bNm2wZMkSrFixAurq6li7di3q1q2LxYsXo23btmLHIyKib5y7uzsWLlyIwMBAhe0+RO/82xYxoU+TfPd6DQ0NFbUICxT1wXq3Zc/U1BTXrl2DlZUV2rRpgxUrVoiSycrKClZWVpgxYwbWrl2LP/74A+Hh4bCwsICHhwe6du0qSi6hldRvrzT24GMRi4joP3p3tO+hQ4eQm5srH9fR0UHnzp0xduxYGBkZiZhQXA4ODnBwcBA7BhERlUJ///03Ll68CGtra1SoUEFh2xH7UNGnbhF7v0eWsl2/fh3h4eH44YcfBJvzQ0xNTXH27Fl07doVNWrUwOXLlwEAr169Ql5eniiZ7t+/j927d2P37t24c+cOrK2t4erqikePHmHu3Lk4f/48Zs6cKUo2IaliH0IxsIhFRPQfPH78GL169YJMJsOAAQNgbm4OAwMDvH79GpcvX8auXbtw/PhxbNu2TfDGk2KJjIyUH/cbGRn50Wt79OghUCoiIiqNrK2tS11/GPpvVHGLWKVKlSCVSsWOAaBoNaO3tzcAoEOHDvj555+hqamJCxcuoEmTJoJm2bFjB3bu3ImEhARUrlwZLi4u6N69e7FDhIyMjDBnzpxvvoilqn0IxSCR/bNrHBERfdDUqVORkpKCNWvWlLhNISsrC/3794e1tTW8vLxESCg8c3NzxMfHw8jICObm5h+8TuieDkRERERfg127dmHLli2YOXMmzMzMFFYQvn/apRD++usvlC9fHk2bNkVUVBTCwsJQpUoVzJgxA99//71gORo0aAAnJyf06NEDrVq1KnHr3Pnz5xEbG4vx48cLlovExSIWEdF/YG9vj/nz58PW1vaD1/z999+YP38+9u/fL2AyIiKi0mnr1q1wcXH56IllWVlZ8PX1RXBwsIDJgIKCAsTFxSElJQXq6ur44Ycf0KJFC0EzkOpzcnLCkydPUFBQUOLzQt4E3LVrFzp16qTw7yk7Oxtbt27FwIEDBcuSkZEBQ0NDweb7mMGDB2Pq1KmoXbu22FFKPW4nJCL6DzIyMmBmZvbRa+rUqYNHjx4JE0gFxcTEQE1NDY6OjgAAb29vtGvXjn2yiIi+If369fvka8PDw5WYBJg5cybatm1brB9l8+bNsX37dlSrVg0AkJubi3379glaxHr8+DEGDx6MGzduoFy5cigoKEBWVhaaNGmCFStWoFy5coJlIdX266+/ih1BburUqbC3t1coHt28eRMLFy5UehFr165dn3xtt27dlJbjnxITE4v1oyLxsIhFRPQfSKXSf/0FpqWlVazhe2kSEREBPz8/TJkyRT6Wl5eHUaNGITAwEJ06dRIxHRERfSnVq1cXO4JcSRtL8vPzRUhSnJ+fH7S1tbF//37UqFEDAJCamgovLy/4+/tj/vz5IickVeHi4iLq/GvXrkVAQACAon9PdnZ2JV5naWmp9Czvf4YEitpRyGQyaGpqQkNDAzk5OVBXV4eBgYGgRazu3bsjICAAo0aNQvXq1aGjo1PseaG3fJZmLGIREdEXs3r1avj6+qJnz57yscDAQFhZWWHZsmUsYhERfSP8/f3FjqDyTp06hQ0bNsgLWEDRam1fX18MGTJExGSkio4ePYply5YhJSUFmpqaqF27NoYMGQInJyelz+3m5gY9PT3IZDL4+PjAy8sLurq68uclEgl0dXXRsmVLpWe5cuWK/M/79u3Dn3/+iXnz5qFBgwYAgBs3bmDatGn4+eeflZ7lfYcOHcKDBw8QExNT4vPs+yocFrGIiP6jsLAwaGtrf/D5nJwcAdOolgcPHpTY68PW1hbz5s0TIREREQkhPT0dmzZtQlpaGubOnYsTJ06gXr16sLCwEDuaaPT19fH27VuFcXV19Y/276LSJyYmBqNHj4aDgwPGjBmDwsJCnDlzBqNGjcLy5cuV3pJBQ0NDfoK0hoYGnJ2dRXuNqqury/+8cOFCLFq0SF7AAoDatWvDx8cHI0aM+E/bmv9XqrTls7RjEYuI6D+oWrUqDh48+K/XValSRYA0quf777/HqVOn5D1I3nl3NDIREX17UlNT0atXL5iYmODWrVt4+/Ytjh8/Dl9fX4SFhaFZs2ZiRxTFr7/+Cl9fX8yfPx/169cHUFTsmzNnDkaNGoXCwkL5tdyKVLr9/vvvGDp0KMaNGycf8/T0xKJFi7Bs2TJB+4q6uLjg3r17SExMRF5ensLzQm7hy8zMLLGNR2FhoeCtO8Te8kn/h6cTEhHRFxMeHo4FCxbAzc0NjRs3BgAkJSVhw4YNGD16NAYNGiRyQiIi+tKGDBmC6tWrw8fHB5aWloiKikK1atUwbdo03L59G5s2bVLq/BYWFoiPjy/WiPrHH3/E7t275TdVnj17hlatWgm65cfBwQHPnz9HQUEBtLW1oaGhgaysLMhkMkgkkmLXcitS6daoUSNERUUpHB5069YtuLi44OLFi4Jl2bZtG/z8/Eo8KVEikQj6Wh0xYgRevHiBgIAAmJqaAvi/vnI1a9bEggULBMsCANHR0Vi1ahXS0tIQHR2NTZs2oVq1aujbt6+gOUo7rsQiIqIvpl+/fsjNzcXatWvx559/AgAqV66MCRMmCLrkm4iIhJOYmKjQjBkoWknybouSMslkMnTr1q3YaqacnBz07dtXvjXp/VVPQvntt98En5O+TkZGRnj06JFCEevRo0coW7asoFnWrVuHrl27wsvLC/r6+oLO/U8zZ87E4MGD8dNPP0FXVxcymQzZ2dlo1KgRfHx8BM0SExODadOmoUePHrh58yYAoFy5cpg3bx7U1dXRu3dvQfOUZixiERHRFzV48GAMHjwYL168gKamJvT09MSORERESlRYWAipVKow/urVK2hqaip9/tGjRyt9js/B7Uf0qZycnDB79mwEBwfD3NwcQNHqvLlz5wrS2P199+7dw5IlS1C+fHlB5y2JsbExdu/ejZMnTyIlJQVA0crLFi1aKKxmVLbly5fDy8sL/fr1w86dOwEAw4cPR9myZbF+/XoWsQTEIhYREX0RWVlZKFu2rPxOeEZGBo4fPw4jIyN06NCBTWyJiL5RdnZ2WL58ebGtPRkZGViwYAFsbGyUPr+qFrGWLl360edVNTcJb8yYMbhw4QJcXFygo6MDiUSC7OxsWFhYYNKkSYJmqVevHu7cuYOaNWsKOu+HPHjwAAYGBmjXrh1MTEwEL169c+PGDdjb2yuMOzo6Ijg4WIREpReLWERE9D8pKCjAzJkzsWPHDkRHR6NGjRo4duwYRo0aBaDolJuVK1di48aNKFeunMhpiYjoS5s6dSrc3Nxga2uLt2/fYujQoXj48CEMDQ0RGBgodjzRREREFHsslUrx8uVLaGpqolGjRiKlIlVUrlw5REZG4vjx4/IVR/Xq1UPLli0Fb/o/aNAg+Pn5IT09HWZmZgo3IYUoTMtkMoSFhWHjxo148uSJfLxSpUpwc3PDkCFDBC9m6evr4+HDhwqHF6WkpKjEqrXShI3diYjof7JmzRr88ccfGDt2LLp37w5tbW20bdsWALB161bo6upi9OjRqFOnTok9U4iI6OuXk5OD6OhoJCcno7CwEHXr1kXXrl25pfwfMjMz4eXlhZYtW8LNzU3sOCSiwsJCeYHq33q2CVnIeredsSRCNXYfNWoUjh07hp9//hk2NjaoUKECMjMzcfr0aezevRu2trb4/ffflZ7jfYGBgThx4gTmzp0Ld3d3bNy4EY8fP4afnx86duwILy8vQfOUZixiERHR/6Rbt24YMGCAvPdHYmIievXqBS8vLwwcOBAAEBcXB19fX8TExIgZlYiIBPL06VNUrFhRtK0/quz69esYPnw4jh49KnYUEpGFhQXi4uJgZGQEc3Pzj/5bEfJEwPv373/0+e+//16p82/fvh0BAQFYv359iQW11NRUuLu7Y9KkSejevbtSs7wvLy8PkydPxoEDBwAUFfRkMhmcnJwQEhLCthkC4nZCIiL6n6Snp8PKykr++PTp05BIJLCzs5OPmZmZFVsOTkRE347MzEzMnz8fHh4eqFu3LoYNG4bjx4+jevXqCAsLU9h+U9pJpVJkZGSIHYNENm/ePPnpf/7+/iKn+T/vilSZmZm4ffs2LCwskJ+fD11dXUHmj4iIwJgxYz64IqxOnToYM2YMtm/fLmgRS0tLCyEhIbhz5w6uXr2KwsJC1KtXD7Vq1RIsAxVhEYuIiP4nEokEBQUF8sdnz55FhQoVULduXfnYq1evBD8imoiIhOHv74+EhAR4enriwIEDOHXqFBYsWIDo6GjMnz9f0G0/Q4cORbt27eDo6IiKFSsKNm9JIiMjFcaysrIQEREBS0tLERKRKnn/9EqJRIJOnToprObJzs7G1q1bBc1VUFAAPz8/+ev34MGDCAoKgpqaGgICAlCmTBmlzn/z5s1iN0JL0rJlSyxatEipOT6kWrVqqF69Op49e4bTp09DU1MT1atXFyVLaSVslzgiIvrm1K1bF2fOnAEAvHz5EqdPn0bLli2LXRMdHV2sqEVERN+Ov//+G4GBgahVqxZiY2Nha2sLZ2dnjB8/Xv77QShVq1bFsmXLYG9vjz59+iAsLAy3b98WNMM73t7eCv8FBwfDyMgIvr6+omQi1TR16lRkZWUpjN+8eRMLFy4UNMuqVasQFxeHhQsXyotqLi4uOHv2LEJCQpQ+v1Qqhbq6+r9eJ/RW5WvXrqFt27Y4d+4cXr9+jT59+mDChAlwdnbGyZMnBc1S2nElFhER/U/c3d0xbdo0XL9+HRcvXoRUKkX//v0BAA8fPsSuXbuwfv16BAQEiJyUiIiUIScnB1WqVAEAnDhxAkOGDAFQtP3m/ZW6Qpg5cyaAoi+csbGxiImJwaJFi2BmZoa2bdti3LhxgmW5du2aYHPR12ft2rXyz0YymeyDq4+EXrW3a9cu+Pj4wNHREVOnTgUAODo6Ys6cOfDz81N6A/PatWvjxIkTH13dFBcXJ/g2vsDAQNSsWRM1a9ZEVFQUsrOzcfz4cWzatAkhISGCnNpIRVjEIiKi/4mzszNyc3OxadMmaGhoIDQ0FA0aNAAA/Pnnn4iIiMDw4cPh7OwsclIiIlKGdyuwjI2N8fTpU9jb2wMo6m1Tu3ZtUTKZm5vD1NQUP/zwA/bt24eoqCisXLlS0CLWOzdv3sT169dRpkwZ1KlTh1uPCADg5uYGPT09yGQy+Pj4wMvLq1jfKYlEAl1dXYXV7cp279491KlTR2G8du3agvRyc3FxwZIlS2BnZ1diP72bN29i6dKlmDRpktKzvO/ixYuIiIiAkZERjh8/jlatWqFSpUpwdXXF6tWrBc1S2rGIRURE/7Pu3buX2Fxz2LBhGDNmDMqXLy98KCIiEsSYMWMwevRoSKVSdO7cGWZmZpg3bx42bdokaD8sADh58iROnz6N06dPIykpCWXLlkXTpk0xdepU2NraCpolLy8PEydOxKFDh+RjEokE7dq1w4IFC3iaWSmnoaGBHj16yP/s7Oxc7DWRlZUFPT09wXOZmJggMTERJiYmxcZjY2MFOaShT58+iI2NhaurK1xdXWFpaYny5csjKysLZ8+eRUREBFq2bFmsp5gQ1NXVoaWlhfz8fJw9exY+Pj4AgDdv3kBHR0fQLKWdRCaTycQOQUREREREX6+MjAw8efJEfqLY+fPnYWBgIPhKLHNzc6ipqaFt27YYOHAgGjduDDU1cdoABwYGIioqCjNmzECzZs0gk8lw+vRpzJs3Dz169MDYsWNFyUWq5/Xr15g6dSrq1q2LMWPGAChqXt6sWTPMnTtX0MNxIiMjERQUhOHDhyM0NBReXl64c+cOwsPD4e3tjV69eik9Q0FBAZYtW4bw8HC8ePFCPl6pUiX0798fgwcPFvzf9ZAhQ2BsbIwKFSpgzZo1OHbsGPLz8+Hj4wM1NTUsX75c0DylGYtYRERERET0TYiIiEB8fDxOnjyJwsJCNG/eHDY2NrCxsRG8h46DgwN8fHzQtm3bYuOHDx+Gv78/jhw5ImgeUl3Tpk1DYmIi5s2bh0aNGgEo6vvk7+8PGxsbeHt7C5pn06ZNWLFiBR4/fgwAMDIywpAhQ+Dh4SFoDgC4desWXr58ifLly8PU1FS0ovTt27fx22+/4f79+xg3bhz69u2LWbNmITY2FmFhYahZs6YouUojFrGIiIiIiOizOTk5ffSksJiYGAHTFJHJZEhKSsKJEydw+vRpJCQkoFy5cjh+/LhgGZo0aYKoqCiFHlh37tyBs7MzkpKSBMtCqs3W1hbLly+XF7DeSUhIwNixYxEXFydKroyMDMhkMhgZGYkyv6p7+vQpDA0NP+k0Rfpy2BOLiIiIiIg+W5cuXYoVsaRSKdLT0xEfHy/fGiW0/Px8vHr1Ci9fvsSTJ0+Qn58PY2NjQTOYmZnh2LFjcHNzKzYuVG8h+nrk5uaWuGXwXS8ooWRlZaFs2bLy1U4vXrzA8ePHYWRkhA4dOpS6Pm53797912sePHgAAPw3LSAWsYiIiIiI6LN96MS/9evX49KlS4JmWbt2LY4fP46EhATIZDJYW1vD3d0dTk5OqFy5sqBZPDw84O3tjTt37qBp06YAgLNnz2LLli3yptBEAGBpaYkVK1bA398fGhpFX9ELCwuxevVqNGzYUOnzFxQUYObMmdixYweio6NRo0YNHDt2DKNGjQJQ1Hh+5cqV2LhxI8qVK6f0PKqiXbt2H11lChSt+pRIJEhOThYoFXE7IRERERERfXH3799Hly5dcP78ecHmtLW1hYODA5ycnNCyZUvRTw1bu3YtwsLC8OzZMwBAxYoVMWTIEAwYMEDUXKRarl69Cjc3NxgYGOCHH34AACQnJ+PVq1dYvXo1GjdurNT516xZgz/++ANjx45F9+7doa2tLe/ltnXrVujq6mL06NGoU6cOpkyZotQsquTMmTOffG3z5s2VmITexyIWERERERF9cTt37kRgYCBOnjwp2JzvVkVkZmbi9u3bsLCwQH5+PnR1dQXL8E5kZCScnJxgaGiI58+fAwB7C9EH3b17F9u2bUNqaio0NTVRs2ZNuLm5oVKlSkqfu1u3bhgwYABcXFwAAImJiejVqxe8vLwwcOBAAEWN5n19fUXpcUf0Pm4nJCIiIiKiz9avXz+FsaysLKSmpqJ///6CZpHJZPD19UVkZCQA4ODBgwgKCoKamhoCAgJQpkwZwbIEBATA0tIShoaGLF7Rv6pWrRomTJggytzp6emwsrKSPz59+jQkEgns7OzkY2ZmZnjy5IkY8VTC1KlTP/q8v7+/QEmIRSwiIiIiIvps/zx9DwA0NTUxcOBAdOnSRdAsYWFhiIuLw8KFC+XbnlxcXODt7Y2QkBB4eXkJlqVWrVpISkpCrVq1BJuTvk5Lly796POjR49W6vwSiQQFBQXyx2fPnkWFChVQt25d+dirV69KbD5fWqSnpxd7LJVKce/ePeTk5KBDhw4ipSqdWMQiIiIiIqLPpkorEHbt2gUfHx84OjrKV044Ojpizpw58PPzE7SIVbt2bUybNg2rV6+GmZkZtLW1iz0fGBgoWBZSbREREcUeS6VSvHz5EpqammjUqJHS569bty7OnDmDGjVq4OXLlzh9+rRCYSY6OrpYUau02bRpk8JYQUEBfH19BdnySf+HRSwiIiIiIvqfPHr0CBs3bsT169ehpaWFOnXqoHfv3qhSpYqgOe7du4c6deoojNeuXRsZGRmCZnl/i9aLFy8EnZu+Ln///bfCWGZmJry8vNCyZUulz+/u7o5p06bh+vXruHjxIqRSqXwr8MOHD7Fr1y6sX78eAQEBSs/yNVFXV4enpyf69euHsWPHih2n1GARi4iIiIiIPltqair69esHLS0tNGjQAPn5+di2bRs2bdqELVu2oGbNmoJlMTExQWJiIkxMTIqNx8bGolq1aoLlAIANGzYIOh99W8qVK4dx48Zh+PDhcHNzU+pczs7OyM3NxaZNm6ChoYHQ0FA0aNAAAPDnn38iIiICw4cPh7Ozs1JzfI2ePXuG7OxssWOUKixiERERERHRZwsKCsKPP/6IkJAQ+Za57OxsjB8/HgsWLMAff/whWJZBgwbBz88Pjx8/hkwmQ1xcHO7cuYPw8HB4e3sLlqOwsBBqamoAivoLSaVS+XPVqlVTKLIRlUQqlQq2grB79+7o3r27wviwYcMwZswYlC9fXpAcqio0NFRhLCsrC/v37y/WAJ+UTyKTyWRihyAiIiIioq+TpaUlNm/eDHNz82LjV69exYABA3D27FlB82zatAkrVqzA48ePAQBGRkYYMmQIPDw8BJl/+/btWLhwIaKiomBkZARLS0vk5ubi3deu6tWrY8+ePYKelEiq7d1pmu/LyspCREQEKlWqhLVr1wofiopxcnIq9lgikUBTUxOWlpYYP348+2IJiCuxiIiIiIjos/2zYfk7ampqxU48E0rfvn3Rt29fZGRkQCaTwcjISLC54+Li4OPjA09Pz2I/l/Xr16Nq1ap48OABPD09sXPnTvTp00ewXKTaSlol+K5A4uvrK0Ii+qcjR46IHYH+PxaxiIiIiIjos/34449YunQpFi5cCC0tLQDA27dvsWTJEnljc2U6efIkmjVrBg0NDZw8efKj19rY2Cg1y7p16zBgwACMHz9ePiaRSPDdd9/h+++/x/fff48+ffpg7969LGKR3LVr18SOQB/w6NEjHD58GNra2rC3t4exsbHYkUo9FrGIiIiIiOizjRs3Dr/88gucnJzkzaAvX76MvLw8bNy4UenzDxw4EPHx8TAyMsLAgQMhkUhQUscUiUSC5ORkpWZJTEwsVsACoJDF2dkZu3btUmoOIvrfXbhwAYMGDUJOTg4AQFdXF6GhoYKcGEkfxp5YRERERET0P3nw4AHCw8ORkpICAKhXrx769u2LqlWrKn3u+/fvo2rVqpBIJLh///5Hr/3++++VmqVhw4b466+/iq3W2LdvHxwdHaGjowOg6GfVqVMnXLx4UalZSLU5OTlBIpF80rUxMTFKTkMlGThwILS1teHn5wd1dXXMmTMHKSkp2Lt3r9jRSjWuxCIiIiIios82ePBgTJ06FZMmTRJl/lGjRqFnz57o2rWr0otU/6ZSpUq4d+9esSJWp06dil2Tnp7OLUmELl26yItYr1+/xqZNm+Dg4ABLS0toaGggMTERMTExGDRokMhJS6/Lly9j8+bNqFy5MgBgypQpaN26NbKysqCnpydyutKLRSwiIiIiIvpsiYmJop60V6NGDQQGBiIoKAjt27dHr1690LRpU1GyWFtbIyIi4qO9wLZt2wZbW1sBU5EqGjdunPzPo0aNwrhx4zB06NBi16xbtw5Hjx4VOhr9f2/evEH58uXlj42NjaGpqYnMzEwWsUSkJnYAIiIiIiL6enXv3h0BAQFITk7GmzdvUFhYWOw/ZVu0aBHi4+MxdepU3L17F25ubvjpp5+watUqZGRkKH3+9/Xv3x979+5FYGAg3r59W+y5/Px8LFq0CLGxsejfv7+guUi1xcfHo0OHDgrjrVu3xoULF0RIRABQWFiosOVTXV1dkPc1+jCuxCIiIiIios926NAhPHjw4IN9e5TdTB0A9PT00Lt3b/Tu3Rvp6enYuXMnwsPDsWjRIjg5OaFHjx6wt7dXeg4LCwv4+/vDx8cHW7duRZMmTWBoaIjMzExcvHgR+fn58Pf3R40aNZSehb4elStXRnx8PExNTYuN//XXX6JvkSVSNWzsTkREREREn23nzp0ffd7FxUWgJIpOnTqFvXv3IiYmBtra2jhy5Igg8z58+BDbtm3D2bNn8fz5c5QvXx5WVlbo3bs3qlWrJkgG+nps3boVs2bNwk8//YSGDRsCAM6fP4+YmBgsWLAAHTt2FDlh6WRubi5v7v5OWFgYevXqBQMDg2LXjh07Vuh4pRaLWERERERE9E26fPky9u7di0OHDuHVq1c4e/as2JGISrR3715s2LAB169fh0QigYWFBYYOHQoHBwexo5VaTk5On3SdRCLhCZICYhGLiIiIiIg+m0wmw+HDh5GSkoKCggL5WF5eHhITE7Fx40ZB89y7dw979uxBVFQUbt++jaZNm6J79+7o2LGjqA3oiYjof8eeWERERERE9NmCgoKwevVqVK5cGU+fPoWxsTGePXuGgoICODs7C5IhMzMT+/fvR1RUFC5cuAAjIyN069YNPXv2VOgzRKSKrly5grCwMFy/fh1aWlqoU6cOPDw8UL9+fbGjEakUFrGIiIiIiOizRUdHY/r06XB3d4eDgwM2b94MHR0djBo1SpD+T6NGjcKxY8dQWFiIVq1aYcmSJXB0dIS6urrS5yb6EhISEuDh4YGaNWvCxsYGhYWFOHfuHPr06YONGzeicePGYkckUhncTkhERERERJ+tQYMGOHDgAExMTDB06FC4urrip59+wrlz5zB9+nQcPHhQqfO3a9cO3bt3h6urKypXrqzUuYiUwc3NDWZmZpgzZ458TCaTwdvbG/fv38fatWvFC0ekYtTEDkBERERERF8vAwMDvHnzBgBQvXp1pKamAgCqVq2Kx48fK33+w4cPY/jw4Sxg0VcrKSkJHh4excYkEgkGDhyIxMREcUIRqSgWsYiIiIiI6LO1aNECgYGBePjwIRo1aoT9+/fj6dOn2LdvHwwNDcWOJ5orV66gR48eaNSoESwsLBT+I3pHX18f2dnZCuNZWVncFkv0D+yJRUREREREn23y5MkYPnw4Dh48iL59+2LNmjWwt7cHAEyZMkXkdOLx9vaGRCLB5MmTeSoifZStrS3mz5+PJUuWwMjICADw7NkzBAYGwtbWVuR0RKqFPbGIiIiIiOh/9vbtW5QpUwY5OTmIi4uDsbExGjVqJHYs0TRu3Bjbtm1DvXr1xI5CKu7Ro0fo06cPXrx4gerVqwMA7ty5AyMjI4SHh6NKlSoiJyRSHVyJRUREREREn+XFixcwMDCAurq6fLVRamoqrKysSvVWQgCoVasWXrx4IXYM+gpUqlQJ0dHRiIqKQkpKCgCgb9++6NKlC/T09EROR6RauBKLiIiIiIj+s/DwcCxYsABr165F48aN5eMeHh44f/48fHx80LNnT0EzFRYWIioqChcuXEB+fj7++VXH399fsCyXLl2Ct7c3+vfvj+rVq0NNrXg74mbNmgmWhVRb165dERgYCHNzc7GjEKk8rsQiIiIiIqL/JDY2FnPmzIG7u7t8+9M7AQEBWLVqFWbMmAETExPY2NgIlmvevHkIDw9H7dq1oa+vX+w5iUQiWA4ASElJwa1bt+Dj46PwnEQiQXJysqB5SHU9efIEOjo6Yscg+ipwJRYREREREf0n/fv3R6NGjTBx4sQPXjNr1izcunULa9asESyXo6MjBg4ciP79+ws254fY29vDwcEBbm5uJRYo/ln8o9Jr9erVOHToEDw9PVG9enWF10u1atVESkakeljEIiIiIiKi/8Ta2lq+4ulDrl69isGDB+PkyZOC5bK0tMTu3btVokDUpEkTREdHw8TEROwopOLe30b4/opBmUzGVXtE/8DthERERERE9J9IpVJoamp+9Bp9fX28fftWoERFWrVqhePHj6Nfv36CzlsSe3t7nDp1Cj169BA7Cqm49evXix2B6KvBIhYREREREf0nNWvWxMWLF2FqavrBa86fP4/vv/9ewFRAw4YNERgYiPj4eNSoUQNaWlrFnh87dqxgWaysrDB37lzExsaiRo0a0NAo/tVLyCykurKystC4cWP56Z5E9HHcTkhERERERP/Jhg0bsHbtWmzevBmVK1dWeP7Jkyfo06cPevbsiREjRgiWy8nJ6YPPSSQSxMTElMospHqysrIwadIk/P3335BIJHB0dMSsWbNgaGgodjQilcYiFhERERER/ScFBQXo378/UlJS0KNHDzRp0gQGBgZ4+fIlLl68iB07dqBGjRrYsGEDV5gQlcDX1xeHDx/GgAEDoKamho0bN6Jx48ZYvHix2NGIVBqLWERERERE9J/l5eUhJCQE27dvR2Zmpny8YsWK6NGjB4YPHw5tbW1Rsh07dgzXr1+HlpYW6tatC2tra6ipqSl93sLCwk++Vog8pLrerbxq1aoVgKLttwMGDMCFCxcUtp4S0f9hEYuIiIiIiD6bVCrF3bt3kZmZCUNDQ1SrVq3YCWtCevXqFQYPHoykpCSULVsWMpkMOTk5aNSoEVavXg09PT2lzm9ubv7J/9954lzp1qBBA8TExMDY2BhA0erGhg0b4ujRo/IxIlLEEi8REREREX02DQ0N1KhRQ+wYAICgoCBkZWVh+/btqF+/PgAgMTERXl5eWLRoEXx8fJQ6/7x580Qr4NHXRSqVFltxpa6ujjJlyiAvL0/EVESqj0UsIiIiIiL6JsTExCA4OFhewAKARo0awcfHB15eXkovYrm6uir1f5+IqLRjEYuIiIiIiL4JOTk5qFKlisJ4lSpVivXtUpbJkydjxowZ0NPTw+TJkz94nUQiQUBAgNLzkGq7f/8+srOzi409fPhQ4bpq1aoJFYlI5bGIRURERERE34R69ephz549+PXXX4uNR0VFoXbt2kqf/+HDh/Lm7iUVI4je17t372KPZTIZBgwYUOyxRCJh/zSi97CxOxERERERfRP+/vtvDB8+HE5OTmjatCkA4OzZszh69CgWL16Mdu3aiZyQqMiZM2c++drmzZsrMQnR14VFLCIiIiIi+mYcPnwYf/75J65fvw6gaHXW0KFD0bZtW6XPvXz5cnh4eEBbW1vpcxERlUYsYhEREREREX0BFhYWiIuLg5GRkXxswoQJmDZtWrExIiL6POyJRUREREREX63Q0FAMHToUOjo6CA0N/ei1Y8eOVWqWktYHHDlyBL/99huLWEREXwCLWERERERE9NXavXs3+vfvDx0dHezevfuD10kkEqUXsYiISLlYxCIiIiIioq/WkSNHSvwzERF9e9TEDkBERERERPSlZGdnIy8vDwBw48YNrFy5EmfPnhU5FdHHpaenw9/fH0OGDMGTJ0+wa9cuXL16VexYRCqHK7GIiIiIiOibcObMGYwcORJLlixBnTp14ObmBqlUiuzsbAQFBcHZ2VnpGcLCwoqdTiiVSrF27VoYGBgUu45bG+md1NRU9OrVCyYmJrh16xbevn2L48ePw9fXF2FhYWjWrJnYEYlUBk8nJCIiIiKib0KfPn1Qo0YNTJ8+HVu3bsWGDRtw6NAhREZGYuvWrR/tmfUlODk5fdJ1EokEMTExSs1CX48hQ4agevXq8PHxgaWlJaKiolCtWjVMmzYNt2/fxqZNm8SOSKQyuBKLiIiIiIi+CcnJyQgKCoKenh7i4+Nhb28PLS0tODg4YP78+Uqfnz256HMkJiZiypQpCuOenp7o0aOHCImIVBd7YhERERER0TdBR0cHeXl5yM3NRUJCAmxsbAAAT58+VdjOR6QqCgsLIZVKFcZfvXoFTU1NERIRqS4WsYiIiIiI6JtgbW2NoKAgzJgxA2pqamjVqhWSk5Mxd+5cWFtbix2PqER2dnZYvnw5CgoK5GMZGRlYsGCBvBBLREXYE4uIiIiIiL4JGRkZ8PHxwf379zF69Gi0bdsW8+bNQ2JiIpYsWYJKlSqJHZFIwePHj+Hm5oZXr17h9evXMDU1xcOHD2FoaIiNGzeiatWqYkckUhksYhERERER0Tfr7du3KFOmjNgxiD4qJycH0dHRSE5ORmFhIerWrYuuXbtCT09P7GhEKoVFLCIiIiIi+mpFRkaia9eu0NLSQmRk5EevZZNsIqKvG4tYRERERET01TI3N0d8fDyMjIxgbm7+weskEgmSk5MFTAZER0cjLCwMt27dQnR0NDZt2oRq1aqhb9++guYg1TN58uRPvjYwMFCJSYi+LhpiByAiIiIiIvpcSUlJ8hPcrl27JnKa/xMTE4Pp06eje/fuSEtLAwCUK1cO8+bNg7q6Onr37i1yQhLTw4cPxY5A9FXiSiwiIiIiIvpq2draolu3bujRowdq1qwpdhy5nj17olu3bujXrx8sLS0RFRWFatWqYf369di6dSv27t0rdkQioq8OV2IREREREdFXy9XVFXv27MGaNWvw448/omfPnujYsaPozdxv3LgBe3t7hXFHR0cEBweLkIhUWXZ2NqKionDjxg1oamqiXr16cHZ2lq8yJKIiamIHICIiIiIi+lwTJ05EbGws/vzzT1SpUgUzZ85Ey5YtMWvWLMF7YL1PX1+/xC1jKSkpKF++vPCBSGXdvn0bbdu2RUBAAM6fP48TJ07A19cXnTt3xt27d8WOR6RSuJ2QiIiIiIi+GW/evMG+ffuwe/duJCQkwMLCAj179kSXLl2gp6cnWI7AwECcOHECc+fOhbu7OzZu3IjHjx/Dz88PHTt2hJeXl2BZSLW5u7tDV1cXQUFB0NfXBwBkZGRg3LhxKFOmDFauXClyQiLVwSIWERERERF9k+7du4fo6GhER0fj/v37uHDhgmBz5+XlYfLkyThw4ACAotMRZTIZnJycEBISAi0tLcGykGpr1KgRduzYgdq1axcbv3btGvr06YOLFy+KE4xIBbEnFhERERERfXPy8vJw5coVXL16Fffv34exsbGg82tpaSEkJATp6elITk5GYWEh6tWrh1q1agmag1RflSpV8OTJE4Ui1suXL2FoaChSKiLVxJVYRERERET0zThz5gyioqJw6NAh5Ofno0OHDujRoweaNm0qdjQiufd7XR05cgTr1q2Dt7c3mjRpAnV1dVy9ehUzZ87EiBEj0K1bN/GCEqkYFrGIiIiIiOirlpqaiqioKERHR+PRo0f44Ycf0KNHD8H7YL3v5s2bmDVrFi5cuID8/HyF58VsOk/iMzc3h0QikT9+97X8n2MSiYSvFaL3cDshERERERF9tX7++WekpKTAwMAAnTt3Rs+ePWFubi52LMyZMwf37t3DuHHjRCukkepav3692BGIvkosYhERERER0VerXLlyCAwMRIcOHVSqWXpSUhJWrFgBKysrsaOQCmrevLnYEYi+SixiERERERHRV0tVV7To6upCX19f7Bj0FXj58iVWrlyJlJQU5OXlKTyvqq9xIjGoiR2AiIiIiIjoW+Pu7o6FCxfi1atXYkchFefl5YVt27ahbNmyMDY2VviPiP4PG7sTERERERF9Ye7u7rh48SKkUikqVKigsNUxNjZWnGCkciwtLfH777/D1tZW7ChEKo/bCYmIiIiIiL4wa2trWFtbix2DvgIVKlRAxYoVxY5B9FXgSiwiIiIiIiIikURERGDfvn3w8/ND9erVxY5DpNJYxCIiIiIiIlKCc+fOYe3atUhLS8OqVauwd+9e1KlTBw4ODmJHIxVy6dIlDB069IP905KTkwVORKS6uJ2QiIiIiIjoC0tISICHhwfs7Oxw9+5dSKVSPHr0CAsXLkRoaCjatWsndkRSEdOnT0e1atXw888/Q1tbW+w4RCqNRSwiIiIiIqIvLCQkBCNHjsTIkSNhaWkJAPD29oauri6WLVvGIhbJ3blzB7t370aNGjXEjkKk8tTEDkBERERERPStuXr1Kjp16qQw3qNHD6SlpYmQiFRVnTp18PjxY7FjEH0VuBKLiIiIiIjoC9PS0iqxx9G9e/egq6srQiJSVaNHj8b06dPh4eEBMzMzaGgU/5puY2MjUjIi1cPG7kRERERERF+Yj48P7t69i0WLFsHJyQlRUVHIycnBhAkT0LhxY8yZM0fsiKQizM3NP/icRCJhY3ei97CIRURERERE9IW9fv0anp6eSExMhEwmg46ODnJzc2FhYYE1a9agXLlyYkckFXH//v2PPv/9998LlIRI9bGIRUREREREpCQnT57E1atXUVhYiLp166JVq1ZQU2NrYvo02dnZKFu2rNgxiFQGe2IREREREREpwZUrV6ClpYXBgwcDAJYuXQpjY+OPbh+j0icjIwN//PEHrl+/jsLCQgCATCZDXl4ebt68iQsXLoickEh18BYAERERERHRFxYTE4PevXvj1KlT8rHTp0+jV69eOHnypIjJSNXMnDkT0dHRMDY2xoULF1C1alXk5ubi8uXLGDFihNjxiFQKtxMSERERERF9YS4uLujQoQOGDx9ebPz3339HbGwsIiIiREpGqqZ58+YIDAxE69at4ezsjIULF6JevXrw8fHB27dvERgYKHZEIpXBlVhERERERERf2K1bt+Ds7Kww3rVrV6SmpoqQiFRVdnY26tWrBwCoWbOm/DRCNzc3nD59WsxoRCqHRSwiIiIiIqIvzMjICFevXlUYv379Ok8mpGKMjY3lJxSampri2rVrAABtbW1kZmaKGY1I5bCxOxERERER0Rfm6uqKmTNn4sWLF2jcuDEAICkpCYsXL4arq6vI6UiVtG/fHpMnT0ZgYCBsbW0xbtw4NGzYEDExMTA1NRU7HpFKYRGLiIiIiIjoCxs+fDieP3+OuXPnQiqVQiaTQUNDA+7u7hgzZozY8UiFjBs3DlKpFA8fPkSXLl3Qvn17TJgwAfr6+li8eLHY8YhUChu7ExERERERKcmbN29w69YtaGpqwtTUFNra2mJHIhUTGRkJJycnGBoaysdevnwJfX19qKuri5iMSPWwJxYREREREZESZGdnQ1NTEw0aNIC6ujrWr1+Ps2fPih2LVExAQABevHhRbKx8+fIsYBGVgEUsIiIiIiKiL+zMmTOwt7dHQkICnj17Bjc3N6xcuRIDBgzA3r17xY5HKqRWrVpISkoSOwbRV4E9sYiIiIiIiL6whQsXol27dmjYsCG2bt0KbW1tHDp0CJGRkVi5ciWcnZ3Fjkgqonbt2pg2bRpWr14NMzMzhS2ngYGBIiUjUj0sYhEREREREX1hycnJCAoKgp6eHuLj42Fvbw8tLS04ODhg/vz5YscjFZKeng4rKysAUNhWSETFsYhFRERERET0heno6CAvLw+5ublISEhAz549AQBPnz6FgYGByOlIlWzYsEHsCERfDRaxiIiIiIiIvjBra2sEBQXBwMAAampqaNWqFZKTkzF37lxYW1uLHY9UiFQqRVBQEKpUqQIPDw8AgLOzMxwdHTF+/HioqbGVNdE7/NdARERERET0hfn6+kJdXR0pKSnybYU7d+6Euro6pkyZInY8UiHBwcHYt28fatasKR8bMGAAdu/ejaVLl4qYjEj1SGQymUzsEERERERERN+6t2/fokyZMmLHIBXj4OCAgIAAtGjRoth4XFwcfHx8cPToUZGSEakersQiIiIiIiJSgvT0dPj7+2PIkCF48uQJ9u/fj+TkZLFjkYp59eoVjI2NFcZNTEzw/PlzERIRqS4WsYiIiIiIiL6w1NRUdOvWDSdOnMDJkyfx9u1bHD9+HH369MHZs2fFjkcqxMLCAtu2bVMY37lzJ+rWrStCIiLVxe2EREREREREX9iQIUNQvXp1+Pj4wNLSElFRUahWrRqmTZuG27dvY9OmTWJHJBVx8uRJeHp6on79+mjcuDEAICkpCZcvX8bvv/8OBwcHkRMSqQ6uxCIiIiIiIvrCEhMT0bdvX4VxT09PXLt2TYREpKpsbGywadMmVKtWDadOnUJCQgJMTEwQGRnJAhbRP2iIHYCIiIiIiOhbU1hYCKlUqjD+6tUraGpqipCIVFnjxo0RHBwsdgwilceVWERERERERF+YnZ0dli9fjoKCAvlYRkYGFixYABsbGxGTkaqQSqWIjY1FTk6OfCwiIgIjRoyAj48Pbt68KWI6ItXEnlhERERERERf2OPHj+Hm5oZXr17h9evXMDU1xcOHD2FoaIiNGzeiatWqYkckEWVkZGDAgAG4ceMGoqOjUatWLYSFhSE4OBgWFhbQ09PD1atXsXXrVtSqVUvsuEQqg0UsIiIiIiIiJcjJyUF0dDSSk5NRWFiIunXromvXrtDT0xM7Gols3rx5OHnyJIKDg1G3bl28ffsWtra2qFevHsLDwyGRSDBnzhw8f/4cixYtEjsukcpgTywiIiIiIiIl0NHRQc+ePcWOQSroyJEj8PX1Rd26dQEAp0+fxps3b9CrVy9IJBIAQKdOnTB69GgxYxKpHBaxiIiIiIiIvoDJkyd/8rWBgYFKTEKq7vHjx8W2CSYkJEAikaBFixbyse+++w6vX78WIx6RymIRi4iIiIiI6At4+PCh2BHoK1G2bNliBapTp06hevXq+O677+Rjd+/eRbly5cSIR6SyWMQiIiIiIiL6AjZs2CB2BPpKWFlZYceOHZg6dSquXbuGxMREeHh4FLtm/fr1+PHHH8UJSKSi2NidiIiIiIhICTIzM7F7926kpaVhzJgxSEpKgrm5OYyNjcWORiJLSkqCu7s7TExM8PDhQ2hpaSEqKgqVKlVCfHw8Vq1ahbNnz2LTpk1o2LCh2HGJVAZXYhEREREREX1hDx8+RM+ePZGXl4c3b95g8ODB2Lp1KxISErBu3TqYm5uLHZFE1LBhQ0RERGDHjh1QV1dH7969UalSJQDAiRMn8PLlS6xcuZIFLKJ/4EosIiIiIiKiL+y3336DTCZDUFAQrK2tERUVhYoVK2LcuHGQSqUICwsTOyIR0VdHTewARERERERE35qzZ89ixIgR0NLSko/p6Ohg3LhxSExMFDEZEdHXi0UsIiIiIiKiLyw7OxtlypRRGJfJZJBK96cl7wAADt5JREFUpSIkIiL6+rGIRURERERE9IU1a9YM4eHhxcby8vLw+++/o2nTpiKlIiL6urEnFhERERER0Rfw4MEDVKlSBRKJBKmpqXBzc4OxsTHS0tLQtGlT3Lp1C9nZ2di4cSPq1asndlwioq8OV2IRERERERF9AW3atEFGRgYAoE6dOoiKioKjoyPs7OygqamJzp07Y9euXSxgUTE3b94scfzt27eYO3euwGmIVBtXYhEREREREX0B5ubmiI+Ph5GRkdhR6CvSsmVLbNy4EWZmZvKxc+fOYdq0aXj69CkuXLggXjgiFcOVWEREREREREQisbGxwYABA3D37l28ffsW8+bNg7u7O0xMTLBnzx6x4xGpFK7EIiIiIiIi+gLMzc0xdepU6Orq/uu1PXr0ECARfQ1kMhmmTp2KM2fOQFNTEy9fvoSXlxdcXV3FjkakcljEIiIiIiIi+gLMzc0/6TqJRILk5GQlp6GviUwmw/Tp07Fr1y5s3boVDRs2FDsSkUrSEDsAERERERHRt4I9sehTTJ48WWFMJpNBQ0MDv/32G6ysrOTjgYGBQkYjUmksYhEREREREX0BEolE7Aj0lXj48GGJ440bN/7o80SlHYtYREREREREXwA7tdCn2rBhg9gRiL5KPJ2QiIiIiIjoC3BxcUGZMmXEjkFfGalUCn9/f6xdu1Y+5uzsjAULFqCwsFC8YEQqiEUsIiIiIiKiL8Df3x96enpix6CvTHBwMPbt24eaNWvKxwYMGIDdu3dj6dKlIiYjUj08nZCIiIiIiIhIJA4ODggICECLFi2KjcfFxcHHxwdHjx4VKRmR6uFKLCIiIiIiIiKRvHr1CsbGxgrjJiYmeP78uQiJiFQXi1hEREREREREIrGwsMC2bdsUxnfu3Im6deuKkIhIdfF0QiIiIiIiIiKR/Prrr/D09ERCQgIaN24MAEhKSsLly5fx+++/i5yOSLWwJxYRERERERGRiC5duoR169YhNTUVmpqaqFmzJjw9PWFubi52NCKVwiIWERERERERERGpPG4nJCIiIiIiIhLRlStXEBYWhuvXr0NLSwt16tSBh4cH6tevL3Y0IpXCxu5EREREREREIklISECfPn2QlpYGGxsbWFpa4tq1a+jTpw8uXbokdjwilcLthEREREREREQicXNzg5mZGebMmSMfk8lk8Pb2xv3797F27VrxwhGpGK7EIiIiIiIiIhJJUlISPDw8io1JJBIMHDgQiYmJ4oQiUlEsYhERERERERGJRF9fH9nZ2QrjWVlZUFdXFyERkepiEYuIiIiIiIhIJLa2tpg/fz6eP38uH3v27BkCAwNha2srYjIi1cOeWEREREREREQiefToEfr06YMXL16gevXqAIA7d+7AyMgI4eHhqFKlisgJiVQHi1hEREREREREIsrKykJUVBRSUlIAAPXq1UOXLl2gp6cncjIi1cIiFhERERERERERqTwNsQMQERERERERlSb9+/f/5GvXr1+vxCREXxc2diciIiIiIiISkLGxsfy/ChUq4MyZM3jx4gXMzMxQu3Zt5OTkICEhAWZmZmJHJVIp3E5IREREREREJBJvb2/o6Ohg+vTpxcYXLlyI27dvY/HixSIlI1I9XIlFREREREREJJK9e/eiX79+CuOurq44duyYCImIVBeLWEREREREREQiMTAwwNWrVxXGz507B0NDQxESEakuNnYnIiIiIiIiEknv3r3h7e2N69evo2HDhpDJZDh//jw2b96MSZMmiR2PSKWwJxYRERERERGRiFasWIGNGzfi6dOnAIAqVapgyJAh6Nu3r8jJiFQLi1hEREREREREIomMjISTkxMMDQ3x4sULAECFChVETkWkmtgTi4iIiIiIiEgkAQEBxYpXLGARfRiLWEREREREREQiqVWrFpKSksSOQfRV4HZCIiIiIiIiIpF4e3tjx44dqF27NszMzKCtrV3s+cDAQJGSEakenk5IREREREREJJL09HRYWVkBgHxbIRGVjCuxiIiIiIiIiIhI5XElFhEREREREZGI8vPz8eTJExQWFgIAZDIZ8vLycOnSJXTv3l3kdESqgyuxiIiIiIiIiETy999/Y8qUKXj58qXCc9ra2rhw4YLwoYhUFE8nJCIiIiIiIhJJaGgoGjZsiLCwMGhra2Pp0qWYNm0a9PT0EBQUJHY8IpXC7YREREREREREIrlx4wbmzZsHc3NzWFhYoGzZsnB3d0fZsmWxatUqtG3bVuyIRCqDK7GIiIiIiIiIRKKurg59fX0AgKmpKVJSUgAALVq0wM2bN8WMRqRyWMQiIiIiIiIiEkmdOnVw+PBhAECNGjWQkJAAAHj48KGYsYhUErcTEhEREREREYlk6NChGDNmDLS0tNC5c2csWbIEgwcPRkpKClq0aCF2PCKVwtMJiYiIiIiIiER05coVqKurw9zcHKdPn8batWtRpUoVjBkzBuXLlxc7HpHKYBGLiIiIiIiIiIhUHrcTEhEREREREQlo6tSpn3ytv7+/EpMQfV1YxCIiIiIiIiIS0M6dO6GmpgYLCwuUKVPmg9dJJBIBUxGpPm4nJCIiIiIiIhLQ4sWLsX//fjx+/Bjt2rWDs7Mz7OzsoK6uLnY0IpXGIhYRERERERGRCJKTk7F3717s378f2dnZ6NChAzp37oymTZuKHY1IJbGIRURERERERCSyCxcuYN++fThw4ADU1dXRsWNHdO7cGfXr1xc7GpHKYBGLiIiIiIiISEXIZDJEREQgMDAQb968QXJystiRiFQGG7sTERERERERiez27ds4cOAA9u/fj5SUFJibm6Njx45ixyJSKVyJRURERERERCSC9PR0eeHq2rVrqFOnDjp27IhOnTrBzMxM7HhEKodFLCIiIiIiIiIBrVy5Ul64MjU1lReu6tSpI3Y0IpXGIhYRERERERGRgMzNzaGpqQk7OztYWFh89NqxY8cKlIpI9bGIRURERERERCQgJyenT7pOIpEgJiZGyWmIvh4sYhERERERERERkcpTEzsAERERERERERHRv2ERi4iIiIiIiIiIVB6LWEREREREREREpPI0xA5ARERERMDt27cRHh6O48eP4/HjxwCAmjVrolOnTujXrx+0tbVFTkhEREQkLjZ2JyIiIhLZwYMHMWXKFHz//ffo3bs3atWqhfz8fJw8eRKbN2+Gubk5NmzYAC0tLbGjEhEREYmGRSwiIiIiEd2+fRvdunWDtbU1li5dCk1NzWLPnzt3Du7u7hg3bhyGDh0qUkoiIiIi8bEnFhEREZGIwsLCIJPJMHv2bIUCFgA0bdoU/fr1g46Ojnxs+/bt6NKlCxo0aAB7e3sEBwcjLy9P/vySJUvQrl07xMXFwcXFBQ0bNoSTkxPWrl0rv+bevXuoV68e1q9fjy5duqBx48ZYv349AODGjRsYPnw4fvzxR1haWmLYsGFIS0srlmv//v1wcXFB48aNYW1tjV9//RXp6elf+KdDRERE9H+4EouIiIhIRNbW1rC0tMTy5cs/6fqwsDAEBQWhd+/eaNOmDVJSUrB06VK0bt0aoaGhAIqKWKtXr4aBgQGGDh0KU1NTbN26FYcOHcLq1athZ2eHe/fuoU2bNtDS0sKUKVNgZGQECwsLAED37t1RtWpVDBs2DADw559/4uHDh9i1axeqVKkiXx3m6ekJGxsbPH/+HIsWLYKmpiYOHDgAiUSinB8WERERlWps7E5EREQkklevXuHly5eoUaOGwnNSqVRhLDc3F0uXLoWrqytmzZoFAHBwcMB3332HiRMn4sKFC7C0tAQAZGdnIyQkBA4ODgAAKysrHD16FEeOHIGdnZ38f7NNmzbo16+f/PHEiROhrq6O9evXo3z58gAAe3t7tGvXDsuWLcOsWbNw/vx5aGtr49dff5X36apSpQqOHTuGN2/eQE9P78v8gIiIiIjewyIWERERkUgKCgpKHM/IyICNjY3CeFhYGHJyctC2bdtiRS5HR0eoqakhPj5eXsQCigpX7+jo6KB8+fLIzs4u9r9Zt27dYo9PnToFa2tr6OnpyefQ0dGBra0t4uLigP/X3v27tA6FYRx/rkipqMUiOri2SECjDmIsCEInOyhKhw7iIgqiItRBxMm1DhqwoIMQUWwW62KXgv4JTq46FnQqiIM/0NxBbqEql3vpvTTD9wMZTnI4ecn4cPIeScPDw7JtW+Pj40okEhoZGdHAwIAGBwf/8gsAAAD8OUIsAACAOgmHw2publapVKq6HwqFdHp6Whm7rqt8Pq9yuSxJWlxc/Ha9+/v7qnEwGKwaNzQ06HMniY6OjqpxuVxWsVhUT0/Pl/V/9ezq6+uT4zhyHEeHh4fa29tTW1ubZmZmtLS0xO+EAADgvyDEAgAAqKN4PK7Ly0s9Pj5WfsNrbGyUaZqVORcXF5I+wi1JymQyikQiX9YKh8M119Pa2irLsjQ3N/fbeZZlybIsvby86OrqSq7rand3V9FoVGNjYzXXAQAA8BmnEwIAANTRwsKCPM/T+vq6np+fvzx/fX3V7e2tJKm/v1+BQEB3d3cyTbNytbS0KJPJVObVYmhoSDc3NzIMo+odx8fHKhQKkj5CtGQyKc/zFAgEFIvFtLm5KUlfdpUBAAD8K+zEAgAAqKNoNKrt7W2tra1pYmJCyWRShmHI8zxdX1/r7OxMpVJJU1NTCofDmp+fVzab1cPDQ+VkwGw2q6enJ/X29tZcz/LyslKplGZnZzU9Pa2mpibl83kVi0VtbW1JkmKxmBzH0erqqiYnJ/X+/q5cLqdgMKh4PF5zDQAAAN8hxAIAAKizeDyuQqEg13V1fn6u/f19vb29qaurS6Ojo0qlUjIMQ5K0srKizs5OnZyc6OjoSKFQSJZlKZ1Oq729veZauru7lcvlZNu2NjY25HmeIpGIbNtWIpGQ9HFa4c7Ojg4ODpROp+V5nkzTlOM43560CAAA8C/88D539wQAAAAAAAB8hp5YAAAAAAAA8D1CLAAAAAAAAPgeIRYAAAAAAAB8jxALAAAAAAAAvkeIBQAAAAAAAN8jxAIAAAAAAIDvEWIBAAAAAADA9wixAAAAAAAA4Hs/AbDi7PwdHfnyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (20, 5))\n",
    "all_genre_keys = list(all_genres.keys())\n",
    "all_genre_values = [int(i) for i in all_genres.values()]\n",
    "sns.barplot(x=all_genre_keys, y = all_genre_values)\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel('Genres')\n",
    "plt.ylabel('No. of movies ')\n",
    "plt.title('Genres distribution of movies')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "0e5c7fee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45453, 19)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(['homepage', 'imdb_id'], axis=1, inplace=True)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b913eebe",
   "metadata": {},
   "source": [
    "# No. of movies made in each language"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "052ce01e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale=2)\n",
    "lang_name = data['original_language'].value_counts().index.tolist()[0:10]\n",
    "lang_count = data['original_language'].value_counts().tolist()[0:10]\n",
    "fig = plt.figure(figsize = (25, 5))\n",
    "sns.barplot(x=lang_name, y=lang_count)\n",
    "plt.xticks(rotation=45)\n",
    "plt.xlabel('Languages')\n",
    "plt.ylabel('No. of movies')\n",
    "plt.title('Languages in which movies released')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "cab057f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set(font_scale=1.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "22498323",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45453, 18)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(['original_title'], axis=1, inplace=True)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7fdd200e",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['popularity'] = pd.to_numeric(data['popularity'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9b396330",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 480x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dist_graphs(data[['popularity']], 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "ab1b4ca8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45453, 17)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(['popularity'], axis=1, inplace=True)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2e5d191f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45453, 15)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(['production_companies', 'production_countries'], axis=1, inplace=True)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f518425c",
   "metadata": {},
   "source": [
    "# Datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "1947025b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "87"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['release_date'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "7f3a9291",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45453, 15)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d18dad44",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data[~data['release_date'].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "89eeee14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45366, 15)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "467fdff4",
   "metadata": {},
   "outputs": [],
   "source": [
    "day_order = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
    "def get_day(x):\n",
    "    try:  \n",
    "        answer = x.weekday()\n",
    "        return day_order[answer]\n",
    "    except:\n",
    "        return np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b11d6c20",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "data['release_date'] = pd.to_datetime(data['release_date'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3e81150b",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['release_year'] = data['release_date'].dt.year\n",
    "data['release_month'] = data['release_date'].dt.month\n",
    "data['realease_day'] = data['release_date'].apply(get_day)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45d8e6d0",
   "metadata": {},
   "source": [
    "# No. of movies released each year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "324213f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale=1)\n",
    "year_name = data['release_year'].value_counts().index.tolist()\n",
    "year_count = data['release_year'].value_counts().tolist()\n",
    "fig = plt.figure(figsize = (25, 10))\n",
    "sns.barplot(x=year_name, y=year_count)\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel('Release Year')\n",
    "plt.ylabel('No. of movies released')\n",
    "plt.title('Movies Released each year')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "e8d241a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set(font_scale=1.4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f25c3a4",
   "metadata": {},
   "source": [
    "# No. of movies released on each weekday"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "aff9fb1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 5))\n",
    "sns.countplot(x='realease_day', data=data, palette=sns.color_palette(\"coolwarm\"))\n",
    "plt.ylabel('No. of movies released')\n",
    "plt.title('No of movies released on each weekday')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0d592af",
   "metadata": {},
   "source": [
    "# No. of movies released on each month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "711c18d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 5))\n",
    "sns.countplot(x='release_month', data=data, palette=sns.color_palette(\"coolwarm\"))\n",
    "plt.ylabel('No. of movies released')\n",
    "plt.title('No of movies released on each month')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12a711f1",
   "metadata": {},
   "source": [
    "Cleaning data a little bit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "5936200a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45366, 15)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(['release_month', 'release_date', 'realease_day'], axis=1, inplace=True)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "5b120c14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dist_graphs(data[['revenue', 'runtime']], 2, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "6d9a82df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "revenue      3\n",
       "runtime    249\n",
       "dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['revenue', 'runtime']].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "3209d929",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37958"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data[data['revenue'] == 0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "27373d5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1535"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data[data['runtime'] == 0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51e806cd",
   "metadata": {},
   "source": [
    "# Revenue of movies in each year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "8b4c5831",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30,10))\n",
    "sns.barplot(data=data[data['release_year'] >= 1950], x='release_year', y='revenue', palette = sns.color_palette(\"coolwarm\"))\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed7ee1f2",
   "metadata": {},
   "source": [
    "# Change in movies runtime with year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "23786e9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(30, 10))\n",
    "sns.lineplot(data=data, x='release_year', y='runtime')\n",
    "plt.ylabel('runtime(minutes)')\n",
    "plt.xticks(np.arange(1874, 2024, 5.0))\n",
    "plt.title('Change in movies runtime with years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "d9e2546a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 480x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dist_graphs(data[['status']], 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "318388c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 480x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dist_graphs(data[['video']], 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "fce68e5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45366, 10)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(['revenue', 'runtime', 'spoken_languages', 'status', 'video', ], axis=1, inplace=True)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "9a7fdb00",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(['tagline'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "1af45d1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dist_graphs(data[['vote_average', 'vote_count']], 2, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "b01d16b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45366, 7)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(['vote_count', 'vote_average'], axis=1, inplace=True)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "9e630286",
   "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>genres</th>\n",
       "      <th>id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>overview</th>\n",
       "      <th>poster_path</th>\n",
       "      <th>title</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[Animation, Comedy, Family]</td>\n",
       "      <td>862</td>\n",
       "      <td>en</td>\n",
       "      <td>Led by Woody, Andy's toys live happily in his ...</td>\n",
       "      <td>/rhIRbceoE9lR4veEXuwCC2wARtG.jpg</td>\n",
       "      <td>Toy Story</td>\n",
       "      <td>1995.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[Adventure, Fantasy, Family]</td>\n",
       "      <td>8844</td>\n",
       "      <td>en</td>\n",
       "      <td>When siblings Judy and Peter discover an encha...</td>\n",
       "      <td>/vzmL6fP7aPKNKPRTFnZmiUfciyV.jpg</td>\n",
       "      <td>Jumanji</td>\n",
       "      <td>1995.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         genres    id original_language  \\\n",
       "0   [Animation, Comedy, Family]   862                en   \n",
       "1  [Adventure, Fantasy, Family]  8844                en   \n",
       "\n",
       "                                            overview  \\\n",
       "0  Led by Woody, Andy's toys live happily in his ...   \n",
       "1  When siblings Judy and Peter discover an encha...   \n",
       "\n",
       "                        poster_path      title  release_year  \n",
       "0  /rhIRbceoE9lR4veEXuwCC2wARtG.jpg  Toy Story        1995.0  \n",
       "1  /vzmL6fP7aPKNKPRTFnZmiUfciyV.jpg    Jumanji        1995.0  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2d33855",
   "metadata": {},
   "source": [
    "# Loading Credits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "0440bbca",
   "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>cast</th>\n",
       "      <th>crew</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[{'cast_id': 14, 'character': 'Woody (voice)',...</td>\n",
       "      <td>[{'credit_id': '52fe4284c3a36847f8024f49', 'de...</td>\n",
       "      <td>862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[{'cast_id': 1, 'character': 'Alan Parrish', '...</td>\n",
       "      <td>[{'credit_id': '52fe44bfc3a36847f80a7cd1', 'de...</td>\n",
       "      <td>8844</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                cast  \\\n",
       "0  [{'cast_id': 14, 'character': 'Woody (voice)',...   \n",
       "1  [{'cast_id': 1, 'character': 'Alan Parrish', '...   \n",
       "\n",
       "                                                crew    id  \n",
       "0  [{'credit_id': '52fe4284c3a36847f8024f49', 'de...   862  \n",
       "1  [{'credit_id': '52fe44bfc3a36847f80a7cd1', 'de...  8844  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_data = pd.read_csv('credits.csv')\n",
    "credit_data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "df5100d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45476, 3)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "6db2b106",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_data.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "d5d26a7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45439, 3)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_data.drop_duplicates(inplace=True)\n",
    "credit_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "8a506296",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cast    0\n",
       "crew    0\n",
       "id      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "43fe6914",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_cast(text):\n",
    "    L = []\n",
    "    counter = 0\n",
    "    for i in ast.literal_eval(text):\n",
    "        if counter < 3:\n",
    "            L.append(i['name'])\n",
    "        counter += 1\n",
    "    return L "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "7c2a06af",
   "metadata": {},
   "outputs": [],
   "source": [
    "credit_data['cast'] = credit_data['cast'].apply(convert_cast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "e64f7a84",
   "metadata": {},
   "outputs": [],
   "source": [
    "def fetch_director(text):\n",
    "    L = []\n",
    "    for i in ast.literal_eval(text):\n",
    "        if i['job'] == 'Director':\n",
    "            L.append(i['name'])\n",
    "    return L "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "3bd8d7cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "credit_data['crew'] = credit_data['crew'].apply(fetch_director)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "1375ca4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>cast</th>\n",
       "      <th>crew</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[Tom Hanks, Tim Allen, Don Rickles]</td>\n",
       "      <td>[John Lasseter]</td>\n",
       "      <td>862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[Robin Williams, Jonathan Hyde, Kirsten Dunst]</td>\n",
       "      <td>[Joe Johnston]</td>\n",
       "      <td>8844</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             cast             crew    id\n",
       "0             [Tom Hanks, Tim Allen, Don Rickles]  [John Lasseter]   862\n",
       "1  [Robin Williams, Jonathan Hyde, Kirsten Dunst]   [Joe Johnston]  8844"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_data.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be240648",
   "metadata": {},
   "source": [
    "### We just need cast and director"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "b16d92fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['id'] = pd.to_numeric(data['id'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "9f6bbe8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.merge(credit_data, on='id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "377c2c9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genres</th>\n",
       "      <th>id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>overview</th>\n",
       "      <th>poster_path</th>\n",
       "      <th>title</th>\n",
       "      <th>release_year</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[Animation, Comedy, Family]</td>\n",
       "      <td>862.0</td>\n",
       "      <td>en</td>\n",
       "      <td>Led by Woody, Andy's toys live happily in his ...</td>\n",
       "      <td>/rhIRbceoE9lR4veEXuwCC2wARtG.jpg</td>\n",
       "      <td>Toy Story</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>[Tom Hanks, Tim Allen, Don Rickles]</td>\n",
       "      <td>[John Lasseter]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[Adventure, Fantasy, Family]</td>\n",
       "      <td>8844.0</td>\n",
       "      <td>en</td>\n",
       "      <td>When siblings Judy and Peter discover an encha...</td>\n",
       "      <td>/vzmL6fP7aPKNKPRTFnZmiUfciyV.jpg</td>\n",
       "      <td>Jumanji</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>[Robin Williams, Jonathan Hyde, Kirsten Dunst]</td>\n",
       "      <td>[Joe Johnston]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[Romance, Comedy]</td>\n",
       "      <td>15602.0</td>\n",
       "      <td>en</td>\n",
       "      <td>A family wedding reignites the ancient feud be...</td>\n",
       "      <td>/6ksm1sjKMFLbO7UY2i6G1ju9SML.jpg</td>\n",
       "      <td>Grumpier Old Men</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>[Walter Matthau, Jack Lemmon, Ann-Margret]</td>\n",
       "      <td>[Howard Deutch]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         genres       id original_language  \\\n",
       "0   [Animation, Comedy, Family]    862.0                en   \n",
       "1  [Adventure, Fantasy, Family]   8844.0                en   \n",
       "2             [Romance, Comedy]  15602.0                en   \n",
       "\n",
       "                                            overview  \\\n",
       "0  Led by Woody, Andy's toys live happily in his ...   \n",
       "1  When siblings Judy and Peter discover an encha...   \n",
       "2  A family wedding reignites the ancient feud be...   \n",
       "\n",
       "                        poster_path             title  release_year  \\\n",
       "0  /rhIRbceoE9lR4veEXuwCC2wARtG.jpg         Toy Story        1995.0   \n",
       "1  /vzmL6fP7aPKNKPRTFnZmiUfciyV.jpg           Jumanji        1995.0   \n",
       "2  /6ksm1sjKMFLbO7UY2i6G1ju9SML.jpg  Grumpier Old Men        1995.0   \n",
       "\n",
       "                                             cast             crew  \n",
       "0             [Tom Hanks, Tim Allen, Don Rickles]  [John Lasseter]  \n",
       "1  [Robin Williams, Jonathan Hyde, Kirsten Dunst]   [Joe Johnston]  \n",
       "2      [Walter Matthau, Jack Lemmon, Ann-Margret]  [Howard Deutch]  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "0ef6b8ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "del credit_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a6b27e8",
   "metadata": {},
   "source": [
    "# Loading Keywords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "94c02827",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>862</td>\n",
       "      <td>[{'id': 931, 'name': 'jealousy'}, {'id': 4290,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8844</td>\n",
       "      <td>[{'id': 10090, 'name': 'board game'}, {'id': 1...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     id                                           keywords\n",
       "0   862  [{'id': 931, 'name': 'jealousy'}, {'id': 4290,...\n",
       "1  8844  [{'id': 10090, 'name': 'board game'}, {'id': 1..."
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keywords_data = pd.read_csv('keywords.csv')\n",
    "keywords_data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "2f37f666",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id          0\n",
       "keywords    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keywords_data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "058e3f37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "987"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keywords_data.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "2cd47e37",
   "metadata": {},
   "outputs": [],
   "source": [
    "keywords_data.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "9628920c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert(text):\n",
    "    L = []\n",
    "    for i in ast.literal_eval(text):\n",
    "        L.append(i['name']) \n",
    "    return L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "4cc3964d",
   "metadata": {},
   "outputs": [],
   "source": [
    "keywords_data['keywords'] = keywords_data['keywords'].apply(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "8b5510f7",
   "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>id</th>\n",
       "      <th>keywords</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>862</td>\n",
       "      <td>[jealousy, toy, boy, friendship, friends, riva...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8844</td>\n",
       "      <td>[board game, disappearance, based on children'...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     id                                           keywords\n",
       "0   862  [jealousy, toy, boy, friendship, friends, riva...\n",
       "1  8844  [board game, disappearance, based on children'..."
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keywords_data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "a50a23d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.merge(keywords_data, on='id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "d3c12728",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>genres</th>\n",
       "      <th>id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>overview</th>\n",
       "      <th>poster_path</th>\n",
       "      <th>title</th>\n",
       "      <th>release_year</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "      <th>keywords</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[Animation, Comedy, Family]</td>\n",
       "      <td>862.0</td>\n",
       "      <td>en</td>\n",
       "      <td>Led by Woody, Andy's toys live happily in his ...</td>\n",
       "      <td>/rhIRbceoE9lR4veEXuwCC2wARtG.jpg</td>\n",
       "      <td>Toy Story</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>[Tom Hanks, Tim Allen, Don Rickles]</td>\n",
       "      <td>[John Lasseter]</td>\n",
       "      <td>[jealousy, toy, boy, friendship, friends, riva...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[Adventure, Fantasy, Family]</td>\n",
       "      <td>8844.0</td>\n",
       "      <td>en</td>\n",
       "      <td>When siblings Judy and Peter discover an encha...</td>\n",
       "      <td>/vzmL6fP7aPKNKPRTFnZmiUfciyV.jpg</td>\n",
       "      <td>Jumanji</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>[Robin Williams, Jonathan Hyde, Kirsten Dunst]</td>\n",
       "      <td>[Joe Johnston]</td>\n",
       "      <td>[board game, disappearance, based on children'...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         genres      id original_language  \\\n",
       "0   [Animation, Comedy, Family]   862.0                en   \n",
       "1  [Adventure, Fantasy, Family]  8844.0                en   \n",
       "\n",
       "                                            overview  \\\n",
       "0  Led by Woody, Andy's toys live happily in his ...   \n",
       "1  When siblings Judy and Peter discover an encha...   \n",
       "\n",
       "                        poster_path      title  release_year  \\\n",
       "0  /rhIRbceoE9lR4veEXuwCC2wARtG.jpg  Toy Story        1995.0   \n",
       "1  /vzmL6fP7aPKNKPRTFnZmiUfciyV.jpg    Jumanji        1995.0   \n",
       "\n",
       "                                             cast             crew  \\\n",
       "0             [Tom Hanks, Tim Allen, Don Rickles]  [John Lasseter]   \n",
       "1  [Robin Williams, Jonathan Hyde, Kirsten Dunst]   [Joe Johnston]   \n",
       "\n",
       "                                            keywords  \n",
       "0  [jealousy, toy, boy, friendship, friends, riva...  \n",
       "1  [board game, disappearance, based on children'...  "
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "1d271ff9",
   "metadata": {},
   "outputs": [],
   "source": [
    "del keywords_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "9a99b56e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45375, 10)"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7e0603d",
   "metadata": {},
   "source": [
    "---\n",
    "# Checking Dataset\n",
    "* Missing Values\n",
    "* Duplicated Values\n",
    "* Reset index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "5849ff8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "genres               2383\n",
       "id                      0\n",
       "original_language      11\n",
       "overview              941\n",
       "poster_path           339\n",
       "title                   0\n",
       "release_year            0\n",
       "cast                    0\n",
       "crew                    0\n",
       "keywords                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "835f5914",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "78011735",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(42132, 10)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae1627ef",
   "metadata": {},
   "source": [
    "Remove rows with duplicated id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "6cc615da",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data[~data[['id']].duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "9cf38b34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(42102, 10)"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "241b5cc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e358159",
   "metadata": {},
   "source": [
    "### Saving dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "5a30c9d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.to_csv('cleaned_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ac252050",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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