ROI based on IMDB Data.ipynb

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   "source": [
    "# Return on Investment (ROI) analysis using Exploratory Data Analysis of IMDB Movie Dataset for Sussex Budget Production"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## **Overview of the Report**:"
   ]
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   "source": [
    "In their most recent film, Sussex Budget Production invested £500K and collected only £100K as their return, which is basically -80% of the return on investment (ROI).\n",
    "\n",
    "Business Question for this Report:\n",
    "How can we increase the return on investment while maintaining the company's operations?\n",
    "\n",
    "In order to answer this question, we must first conduct an analysis that gives us evidence of what type of movies will perform better, given previously that the \"comedy-action-thriller\" genre was attempted and failed miserably to collect the invested amount in the box office. Now the company is prepared to secure a budget of £1.5 million through the persuasion of investors, where their only proposed option to the investors is to make sure that it must be a good return on investment (ROI) and must be used to keep the business going even though it lost money.\n",
    "\n",
    "In this report:\n",
    "I will be performing an exploratory data analysis (EDA) for this report. This analysis will let us organize and clean the data so that we can use the cleaned version of the data file for the analysis. Then I'll be performing a natural hypothesis using the chosen data in order to find proof to help me decide on the next movie production that is statistically significant for the variables we test.\n",
    "\n",
    "After completing all of the exploratory data analysis and hypothesis tests, I can choose the best next steps to take in order to maximize my return on investment. With this conclusion, I should be able to answer the report's business question."
   ]
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    "#we are first importing the required libraries to work on data in this report.\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
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   "source": [
    "## **Data Exploring and Cleaning**:"
   ]
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   "source": [
    "Once all the necessary libraries have been imported, I will proceed to read the IMDB data, clean the data properly, and conduct exploratory data analysis. This will involve examining the presence of null values, identifying unique values, and removing any unwanted entries, outliers, and duplicate values. So, let us begin with the process of data cleaning."
   ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>color</th>\n",
       "      <th>director_name</th>\n",
       "      <th>critic_Reviews</th>\n",
       "      <th>duration</th>\n",
       "      <th>director_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
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       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>gross</th>\n",
       "      <th>genres</th>\n",
       "      <th>...</th>\n",
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       "      <th>language</th>\n",
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       "      <th>budget</th>\n",
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       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>aspect_ratio</th>\n",
       "      <th>movie_facebook_likes</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Color</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>723.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>Joel David Moore</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>760505847.0</td>\n",
       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>...</td>\n",
       "      <td>3054.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>237000000.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>936.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1.78</td>\n",
       "      <td>33000</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Color</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>302.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Orlando Bloom</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>309404152.0</td>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>...</td>\n",
       "      <td>1238.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>300000000.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Color</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>602.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>Rory Kinnear</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>200074175.0</td>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>994.0</td>\n",
       "      <td>English</td>\n",
       "      <td>UK</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>245000000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2.35</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Color</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>813.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>448130642.0</td>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>...</td>\n",
       "      <td>2701.0</td>\n",
       "      <td>English</td>\n",
       "      <td>USA</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>2.35</td>\n",
       "      <td>164000</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
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      "text/plain": [
       "   color      director_name  critic_Reviews  duration  \\\n",
       "0  Color      James Cameron           723.0     178.0   \n",
       "1  Color     Gore Verbinski           302.0     169.0   \n",
       "2  Color         Sam Mendes           602.0     148.0   \n",
       "3  Color  Christopher Nolan           813.0     164.0   \n",
       "4    NaN        Doug Walker             NaN       NaN   \n",
       "\n",
       "   director_facebook_likes  actor_3_facebook_likes      actor_2_name  \\\n",
       "0                      0.0                   855.0  Joel David Moore   \n",
       "1                    563.0                  1000.0     Orlando Bloom   \n",
       "2                      0.0                   161.0      Rory Kinnear   \n",
       "3                  22000.0                 23000.0    Christian Bale   \n",
       "4                    131.0                     NaN        Rob Walker   \n",
       "\n",
       "   actor_1_facebook_likes        gross                           genres  ...  \\\n",
       "0                  1000.0  760505847.0  Action|Adventure|Fantasy|Sci-Fi  ...   \n",
       "1                 40000.0  309404152.0         Action|Adventure|Fantasy  ...   \n",
       "2                 11000.0  200074175.0        Action|Adventure|Thriller  ...   \n",
       "3                 27000.0  448130642.0                  Action|Thriller  ...   \n",
       "4                   131.0          NaN                      Documentary  ...   \n",
       "\n",
       "  num_user_for_reviews language  country  content_rating       budget  \\\n",
       "0               3054.0  English      USA           PG-13  237000000.0   \n",
       "1               1238.0  English      USA           PG-13  300000000.0   \n",
       "2                994.0  English       UK           PG-13  245000000.0   \n",
       "3               2701.0  English      USA           PG-13  250000000.0   \n",
       "4                  NaN      NaN      NaN             NaN          NaN   \n",
       "\n",
       "   title_year actor_2_facebook_likes imdb_score  aspect_ratio  \\\n",
       "0      2009.0                  936.0        7.9          1.78   \n",
       "1      2007.0                 5000.0        7.1          2.35   \n",
       "2      2015.0                  393.0        6.8          2.35   \n",
       "3      2012.0                23000.0        8.5          2.35   \n",
       "4         NaN                   12.0        7.1           NaN   \n",
       "\n",
       "  movie_facebook_likes  \n",
       "0                33000  \n",
       "1                    0  \n",
       "2                85000  \n",
       "3               164000  \n",
       "4                    0  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 2,
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   "source": [
    "movie_dataset=pd.read_csv('movie_metadata.csv') #Loading the movie dataset to a dataframe\n",
    "\n",
    "# Dropping rows where the 'color' column has the value 'Black and White' since they are outliers and don't need to be considered for producing a movie\n",
    "movie_dataset = movie_dataset[movie_dataset['color'] != 'Black and White'].reset_index(drop=True)\n",
    "movie_dataset.head()"
   ]
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4998 entries, 0 to 4997\n",
      "Data columns (total 28 columns):\n",
      " #   Column                   Non-Null Count  Dtype  \n",
      "---  ------                   --------------  -----  \n",
      " 0   color                    4979 non-null   object \n",
      " 1   director_name            4895 non-null   object \n",
      " 2   critic_Reviews           4949 non-null   float64\n",
      " 3   duration                 4983 non-null   float64\n",
      " 4   director_facebook_likes  4895 non-null   float64\n",
      " 5   actor_3_facebook_likes   4975 non-null   float64\n",
      " 6   actor_2_name             4985 non-null   object \n",
      " 7   actor_1_facebook_likes   4991 non-null   float64\n",
      " 8   gross                    4124 non-null   float64\n",
      " 9   genres                   4998 non-null   object \n",
      " 10  actor_1_name             4991 non-null   object \n",
      " 11  movie_title              4998 non-null   object \n",
      " 12  num_voted_users          4998 non-null   int64  \n",
      " 13  total_FB_Likes           4998 non-null   int64  \n",
      " 14  actor_3_name             4975 non-null   object \n",
      " 15  facenumber_in_poster     4985 non-null   float64\n",
      " 16  plot_keywords            4846 non-null   object \n",
      " 17  movie_imdb_link          4998 non-null   object \n",
      " 18  num_user_for_reviews     4977 non-null   float64\n",
      " 19  language                 4984 non-null   object \n",
      " 20  country                  4993 non-null   object \n",
      " 21  content_rating           4697 non-null   object \n",
      " 22  budget                   4511 non-null   float64\n",
      " 23  title_year               4891 non-null   float64\n",
      " 24  actor_2_facebook_likes   4985 non-null   float64\n",
      " 25  imdb_score               4998 non-null   float64\n",
      " 26  aspect_ratio             4671 non-null   float64\n",
      " 27  movie_facebook_likes     4998 non-null   int64  \n",
      "dtypes: float64(13), int64(3), object(12)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "movie_dataset.info() #Checking all of the basic information associated with our IMDB data file"
   ]
  },
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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5, 5))\n",
    "#plotting a histogram of IMDb scores from the dataset\n",
    "sns.histplot(movie_dataset['imdb_score'], bins=15, kde=False, color='purple')\n",
    "plt.title('Distribution of IMDB scores')\n",
    "plt.xlabel('IMDB score')\n",
    "plt.ylabel('Number of Movies')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 18,
     "status": "ok",
     "timestamp": 1700750397328,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "WvXr1fIh6QZd",
    "outputId": "56706015-16a3-4fca-bf57-5112387be2e9",
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Action|Adventure|Fantasy|Sci-Fi', 'Action|Adventure|Fantasy',\n",
       "       'Action|Adventure|Thriller', 'Action|Thriller', 'Documentary',\n",
       "       'Action|Adventure|Sci-Fi', 'Action|Adventure|Romance',\n",
       "       'Adventure|Animation|Comedy|Family|Fantasy|Musical|Romance',\n",
       "       'Adventure|Family|Fantasy|Mystery', 'Action|Adventure',\n",
       "       'Action|Adventure|Western', 'Action|Adventure|Family|Fantasy',\n",
       "       'Action|Adventure|Comedy|Family|Fantasy|Sci-Fi',\n",
       "       'Adventure|Fantasy', 'Action|Adventure|Drama|History',\n",
       "       'Adventure|Family|Fantasy', 'Action|Adventure|Drama|Romance',\n",
       "       'Drama|Romance', 'Action|Adventure|Sci-Fi|Thriller',\n",
       "       'Action|Adventure|Fantasy|Romance',\n",
       "       'Action|Adventure|Fantasy|Sci-Fi|Thriller',\n",
       "       'Adventure|Animation|Comedy|Family|Fantasy',\n",
       "       'Adventure|Animation|Comedy|Family|Sport', 'Action|Crime|Thriller',\n",
       "       'Action|Adventure|Horror|Sci-Fi|Thriller',\n",
       "       'Adventure|Animation|Family|Sci-Fi',\n",
       "       'Action|Comedy|Crime|Thriller', 'Animation|Drama|Family|Fantasy',\n",
       "       'Action|Crime|Drama|Thriller', 'Adventure|Animation|Comedy|Family',\n",
       "       'Action|Adventure|Animation|Comedy|Family|Sci-Fi',\n",
       "       'Adventure|Drama|Family|Mystery', 'Action|Comedy|Sci-Fi|Western',\n",
       "       'Action|Adventure|Fantasy|Horror|Thriller',\n",
       "       'Action|Adventure|Comedy|Sci-Fi', 'Comedy|Family|Fantasy',\n",
       "       'Adventure|Animation|Comedy|Drama|Family|Fantasy',\n",
       "       'Adventure|Drama|Family|Fantasy', 'Action|Adventure|Drama|Fantasy',\n",
       "       'Action|Adventure|Family|Fantasy|Romance',\n",
       "       'Action|Adventure|Drama|Sci-Fi', 'Action|Adventure|Romance|Sci-Fi',\n",
       "       'Action|Adventure|Family|Mystery|Sci-Fi',\n",
       "       'Action|Adventure|Animation|Comedy|Drama|Family|Sci-Fi',\n",
       "       'Adventure|Animation|Comedy|Family|Sci-Fi',\n",
       "       'Adventure|Animation|Family|Fantasy', 'Action|Sci-Fi',\n",
       "       'Adventure|Drama|Sci-Fi', 'Action|Adventure|Drama|Horror|Sci-Fi',\n",
       "       'Drama|Fantasy|Romance', 'Adventure|Sci-Fi',\n",
       "       'Action|Adventure|Drama|Thriller',\n",
       "       'Action|Drama|History|Romance|War',\n",
       "       'Action|Adventure|Biography|Drama|History|Romance|War',\n",
       "       'Action|Drama', 'Drama|Horror|Sci-Fi',\n",
       "       'Adventure|Comedy|Family|Fantasy',\n",
       "       'Animation|Comedy|Family|Fantasy',\n",
       "       'Action|Adventure|Animation|Comedy|Family',\n",
       "       'Adventure|Animation|Comedy|Family|Fantasy|Musical',\n",
       "       'Mystery|Thriller', 'Adventure|Animation|Comedy|Drama|Family',\n",
       "       'Action|Adventure|Animation|Comedy|Family|Fantasy|Sci-Fi',\n",
       "       'Comedy|Fantasy|Horror', 'Drama|Fantasy|Horror|Thriller',\n",
       "       'Action|Drama|Thriller', 'Adventure',\n",
       "       'Action|Comedy|Fantasy|Sci-Fi',\n",
       "       'Action|Adventure|Comedy|Family|Fantasy|Mystery|Sci-Fi',\n",
       "       'Action|Adventure|Animation|Fantasy', 'Comedy|Crime',\n",
       "       'Action|Drama|History|War', 'Action|Adventure|Drama',\n",
       "       'Action|Adventure|Animation|Comedy|Family|Fantasy',\n",
       "       'Action|Drama|Mystery|Sci-Fi', 'Action|Adventure|Comedy|Thriller',\n",
       "       'Action|Adventure|Animation|Fantasy|Romance|Sci-Fi',\n",
       "       'Action|Adventure|Drama|History|War',\n",
       "       'Adventure|Drama|Fantasy|Romance',\n",
       "       'Animation|Comedy|Family|Musical',\n",
       "       'Action|Crime|Drama|Mystery|Thriller',\n",
       "       'Adventure|Drama|Thriller|Western',\n",
       "       'Adventure|Animation|Comedy|Family|Western',\n",
       "       'Action|Mystery|Thriller', 'Adventure|Sci-Fi|Thriller',\n",
       "       'Adventure|Animation|Comedy|Family|Fantasy|Sci-Fi',\n",
       "       'Action|Crime|Mystery|Thriller', 'Action|Adventure|Family|Mystery',\n",
       "       'Adventure|Drama|Romance|War',\n",
       "       'Adventure|Animation|Family|Thriller', 'Action|Fantasy',\n",
       "       'Action|Animation|Comedy|Family|Sci-Fi', 'Action|Comedy|Fantasy',\n",
       "       'Fantasy', 'Adventure|Animation|Comedy|Family|Musical',\n",
       "       'Action|Adventure|Crime|Mystery|Thriller',\n",
       "       'Action|Adventure|History', 'Action', 'Adventure|Drama|Fantasy',\n",
       "       'Action|Fantasy|Thriller', 'Action|Adventure|Comedy|Crime',\n",
       "       'Adventure|Mystery|Sci-Fi', 'Action|Drama|Sci-Fi|Thriller',\n",
       "       'Action|Crime|Sci-Fi|Thriller', 'Action|Family|Sport',\n",
       "       'Comedy|Drama|Romance', 'Action|Comedy|Romance',\n",
       "       'Action|Adventure|Mystery|Sci-Fi', 'Action|Drama|War',\n",
       "       'Adventure|Drama|Sci-Fi|Thriller',\n",
       "       'Action|Adventure|Comedy|Family|Fantasy', 'Crime|Thriller',\n",
       "       'Action|Comedy|Crime|Romance|Thriller', 'Biography|Drama',\n",
       "       'Action|Comedy|Crime|Sci-Fi|Thriller', 'Action|Adventure|Crime',\n",
       "       'Action|Drama|Fantasy|War',\n",
       "       'Animation|Comedy|Family|Music|Western',\n",
       "       'Action|Adventure|Mystery|Sci-Fi|Thriller',\n",
       "       'Action|Drama|Sci-Fi|Sport', 'Action|Crime|Romance|Thriller',\n",
       "       'Action|Adventure|Comedy', 'Biography|Drama|Sport',\n",
       "       'Action|Mystery|Sci-Fi|Thriller',\n",
       "       'Animation|Family|Fantasy|Musical|Romance', 'Comedy',\n",
       "       'Action|Adventure|Romance|Sci-Fi|Thriller', 'Comedy|Romance',\n",
       "       'Action|Drama|Romance', 'Biography|Crime|Drama|History|Romance',\n",
       "       'Biography|Crime|Drama', 'Action|Comedy|Thriller',\n",
       "       'Action|Comedy|Crime', 'Action|Drama|Mystery|Thriller',\n",
       "       'Drama|Western', 'Animation|Drama|Family|Musical|Romance',\n",
       "       'Action|Adventure|Comedy|Family|Mystery',\n",
       "       'Action|Romance|Thriller', 'Action|Fantasy|Horror|Mystery',\n",
       "       'Adventure|Drama|Thriller', 'Biography|Comedy|Crime|Drama',\n",
       "       'Action|Sci-Fi|War', 'Drama|Sci-Fi',\n",
       "       'Action|Adventure|Animation|Family|Fantasy',\n",
       "       'Action|Crime|Fantasy|Romance|Thriller', 'Adventure|Comedy|Sci-Fi',\n",
       "       'Action|Crime|Sport|Thriller',\n",
       "       'Action|Adventure|Biography|Drama|History|Thriller',\n",
       "       'Action|Comedy|Sci-Fi', 'Action|Drama|Thriller|War',\n",
       "       'Drama|Mystery|Thriller', 'Action|Adventure|Fantasy|Thriller',\n",
       "       'Crime|Drama', 'Drama|History|Romance|War',\n",
       "       'Animation|Comedy|Family|Sport', 'Comedy|Sci-Fi|Thriller',\n",
       "       'Drama|History|War', 'Adventure|Animation|Comedy|Family|Romance',\n",
       "       'Drama|Family|Fantasy|Romance', 'Drama|Fantasy|Thriller',\n",
       "       'Drama|Mystery|Romance|Sci-Fi|Thriller',\n",
       "       'Drama|History|War|Western', 'Action|Adventure|Animation|Family',\n",
       "       'Adventure|Comedy|Family|Mystery|Sci-Fi',\n",
       "       'Drama|Fantasy|Horror|Mystery|Thriller',\n",
       "       'Animation|Comedy|Family|Sci-Fi',\n",
       "       'Adventure|Comedy|Drama|Fantasy|Romance',\n",
       "       'Action|Adventure|Comedy|Crime|Thriller', 'Crime|Drama|Thriller',\n",
       "       'Adventure|Animation|Family|Fantasy|Musical|War', 'Action|Comedy',\n",
       "       'Crime|Drama|Mystery|Thriller', 'Adventure|Drama|History',\n",
       "       'Action|Adventure|Animation|Family|Fantasy|Sci-Fi',\n",
       "       'Adventure|Animation|Comedy|Family|Fantasy|Music',\n",
       "       'Drama|History|Thriller|War', 'Action|Animation|Comedy|Sci-Fi',\n",
       "       'Comedy|Family|Fantasy|Horror|Mystery',\n",
       "       'Drama|Mystery|Sci-Fi|Thriller', 'Action|Horror|Sci-Fi|Thriller',\n",
       "       'Crime|Mystery|Thriller',\n",
       "       'Action|Adventure|Comedy|Crime|Mystery|Thriller',\n",
       "       'Comedy|Drama|Sci-Fi', 'Action|Family|Fantasy|Musical',\n",
       "       'Drama|History|Sport', 'Adventure|Drama|Romance',\n",
       "       'Animation|Comedy|Family|Music|Romance',\n",
       "       'Animation|Comedy|Family|Fantasy|Musical|Romance',\n",
       "       'Crime|Drama|Horror|Mystery|Thriller', 'Adventure|Comedy|Family',\n",
       "       'Action|Adventure|Comedy|Fantasy', 'Comedy|Drama|Music|Musical',\n",
       "       'Adventure|Comedy|Drama|Family|Fantasy',\n",
       "       'Action|Comedy|Fantasy|Romance', 'Comedy|Romance|Sci-Fi',\n",
       "       'Adventure|Comedy|Mystery', 'Comedy|Drama|Fantasy|Romance',\n",
       "       'Action|Comedy|Family|Fantasy',\n",
       "       'Action|Adventure|Fantasy|Horror|Sci-Fi',\n",
       "       'Crime|Drama|History|Mystery|Thriller', 'Comedy|Drama',\n",
       "       'Adventure|Animation|Comedy|Drama|Family|Fantasy|Sci-Fi',\n",
       "       'Action|Drama|Romance|Sci-Fi|Thriller', 'Comedy|Crime|Sport',\n",
       "       'Comedy|Family|Fantasy|Romance',\n",
       "       'Action|Adventure|Crime|Drama|Sci-Fi|Thriller',\n",
       "       'Adventure|Drama|History|Romance|War', 'Comedy|Family|Sci-Fi',\n",
       "       'Fantasy|Horror|Mystery|Thriller',\n",
       "       'Adventure|Animation|Comedy|Family|Fantasy|Sci-Fi|Sport',\n",
       "       'Adventure|Comedy|Crime|Family|Mystery', 'Drama|Sci-Fi|Thriller',\n",
       "       'Action|Crime|Mystery|Romance|Thriller',\n",
       "       'Action|Adventure|Comedy|Romance',\n",
       "       'Adventure|Animation|Family|Western', 'Comedy|Family|Romance',\n",
       "       'Action|Adventure|Family|Sci-Fi|Thriller',\n",
       "       'Animation|Family|Fantasy|Music',\n",
       "       'Action|Adventure|Family|Fantasy|Thriller', 'Comedy|Fantasy',\n",
       "       'Action|Adventure|Comedy|Fantasy|Thriller',\n",
       "       'Drama|Horror|Mystery|Sci-Fi', 'Action|Sci-Fi|Thriller',\n",
       "       'Drama|History|Thriller', 'Adventure|Animation|Family',\n",
       "       'Drama|Musical|Romance', 'Documentary|Drama',\n",
       "       'Action|Adventure|Drama|History|Romance', 'Animation|Family',\n",
       "       'Adventure|Animation|Drama|Family|Musical',\n",
       "       'Animation|Comedy|Family|Fantasy|Sci-Fi',\n",
       "       'Adventure|Animation|Drama|Family|Fantasy', 'Sci-Fi|Thriller',\n",
       "       'Animation|Comedy|Family', 'Action|Crime|Fantasy|Thriller',\n",
       "       'Comedy|Drama|Family|Music|Musical|Romance',\n",
       "       'Horror|Mystery|Thriller', 'Action|Adventure|Comedy|Family|Sci-Fi',\n",
       "       'Comedy|Family', 'Biography|Comedy|Drama|History',\n",
       "       'Drama|Music|Musical', 'Crime|Drama|Mystery', 'Comedy|Crime|Music',\n",
       "       'Action|Comedy|Romance|Thriller',\n",
       "       'Animation|Comedy|Family|Fantasy|Mystery',\n",
       "       'Comedy|Crime|Drama|Romance', 'Action|Adventure|Romance|Thriller',\n",
       "       'Drama|History|Romance', 'Action|Drama|Fantasy|Romance',\n",
       "       'Action|Adventure|Animation|Family|Sci-Fi', 'Action|Drama|Sci-Fi',\n",
       "       'Drama|Horror|Sci-Fi|Thriller', 'Animation|Comedy|Fantasy',\n",
       "       'Action|Animation|Comedy|Family',\n",
       "       'Action|Adventure|Comedy|Romance|Thriller', 'Action|Comedy|Sport',\n",
       "       'Biography|Drama|History|War', 'Adventure|Animation|Comedy',\n",
       "       'Action|Drama|Sport', 'Adventure|Drama|Family',\n",
       "       'Drama|Mystery|Romance|Thriller',\n",
       "       'Adventure|Animation|Comedy|Family|Fantasy|Romance',\n",
       "       'Adventure|Drama|War', 'Action|Adventure|Crime|Thriller',\n",
       "       'Adventure|Drama|Fantasy|Mystery|Thriller',\n",
       "       'Fantasy|Mystery|Romance|Sci-Fi|Thriller',\n",
       "       'Drama|Fantasy|Mystery|Thriller',\n",
       "       'Animation|Comedy|Family|Fantasy|Music',\n",
       "       'Drama|Horror|Romance|Thriller', 'Drama|War', 'Drama',\n",
       "       'Action|Drama|Fantasy|Horror|War',\n",
       "       'Adventure|Family|Fantasy|Romance',\n",
       "       'Adventure|Biography|Drama|History|War',\n",
       "       'Action|Adventure|Horror|Sci-Fi', 'Action|Fantasy|Horror',\n",
       "       'Comedy|Drama|Musical|Romance', 'Action|Sci-Fi|Sport',\n",
       "       'Action|Adventure|Animation|Comedy|Crime|Family|Fantasy',\n",
       "       'Adventure|Animation|Family|Fantasy|Musical',\n",
       "       'Action|Crime|Mystery|Sci-Fi|Thriller',\n",
       "       'Action|Comedy|Crime|Drama|Thriller',\n",
       "       'Adventure|Drama|History|Romance', 'Biography|Drama|Thriller',\n",
       "       'Action|Drama|History|Thriller', 'Action|Adventure|Fantasy|War',\n",
       "       'Comedy|Fantasy|Romance',\n",
       "       'Action|Adventure|Comedy|Romance|Thriller|Western',\n",
       "       'Biography|Drama|Sport|War', 'Comedy|Drama|Family|Musical',\n",
       "       'Action|Adventure|Fantasy|Horror|Sci-Fi|Thriller', 'Drama|Sport',\n",
       "       'Action|Fantasy|Sci-Fi|Thriller', 'Drama|Mystery|Romance',\n",
       "       'Adventure|Biography|Drama|History|Sport|Thriller',\n",
       "       'Crime|Drama|Fantasy', 'Adventure|Biography|Crime|Drama|Western',\n",
       "       'Action|War', 'Comedy|Romance|Sport',\n",
       "       'Crime|Drama|Mystery|Thriller|Western', 'Comedy|Sport',\n",
       "       'Comedy|Drama|Family', 'Crime|Drama|Fantasy|Mystery',\n",
       "       'Adventure|Animation|Biography|Drama|Family|Fantasy|Musical',\n",
       "       'Drama|Romance|Western', 'Documentary|Music', 'Drama|Thriller',\n",
       "       'Animation|Family|Fantasy', 'Action|Fantasy|Horror|Sci-Fi',\n",
       "       'Biography|Comedy|Drama', 'Action|Horror|Sci-Fi',\n",
       "       'Adventure|Comedy', 'Biography|Drama|History|Sport',\n",
       "       'Comedy|Crime|Romance|Thriller', 'Comedy|Crime|Romance',\n",
       "       'Horror|Mystery|Sci-Fi|Thriller', 'Biography|Drama|Music',\n",
       "       'Drama|Fantasy|Sport', 'Adventure|Comedy|Drama|Music',\n",
       "       'Action|Fantasy|Horror|Sci-Fi|Thriller',\n",
       "       'Adventure|Animation|Comedy|Drama|Family|Fantasy|Romance',\n",
       "       'Horror|Sci-Fi|Thriller', 'Drama|Fantasy|Mystery|Romance|Thriller',\n",
       "       'Action|Adventure|Drama|History|Romance|War',\n",
       "       'Drama|Fantasy|Mystery|Romance', 'Fantasy|Horror|Mystery|Romance',\n",
       "       'Adventure|Comedy|Family|Romance|Sci-Fi', 'Drama|Horror|Thriller',\n",
       "       'Action|Comedy|Mystery|Romance',\n",
       "       'Action|Adventure|Comedy|Romance|Sci-Fi',\n",
       "       'Action|Biography|Drama|History|Thriller|War',\n",
       "       'Adventure|Comedy|Family|Fantasy|Horror',\n",
       "       'Comedy|Family|Romance|Sci-Fi', 'Action|Adventure|Thriller|War',\n",
       "       'Comedy|Drama|Romance|Sport', 'Comedy|Western',\n",
       "       'Action|Comedy|Crime|Drama', 'Drama|Music|Romance|War',\n",
       "       'Action|Comedy|Drama|Family|Thriller', 'Action|Crime',\n",
       "       'Adventure|Animation|Drama|Family|History|Musical|Romance',\n",
       "       'Action|Adventure|Drama|Romance|Sci-Fi',\n",
       "       'Action|Adventure|Comedy|Family|Romance',\n",
       "       'Action|Adventure|Comedy|Western',\n",
       "       'Biography|Drama|History|Musical',\n",
       "       'Adventure|Drama|Horror|Thriller', 'Action|Drama|Sport|Thriller',\n",
       "       'Drama|Musical|Romance|Thriller', 'Comedy|Drama|Family|Fantasy',\n",
       "       'Adventure|Comedy|Crime|Family|Musical',\n",
       "       'Drama|Music|Musical|Romance', 'Drama|Mystery|Romance|War',\n",
       "       'Crime|Drama|Romance', 'Crime|Horror|Mystery|Thriller',\n",
       "       'Adventure|Animation|Drama|Family|Fantasy|Musical|Mystery|Romance',\n",
       "       'Action|Horror|Thriller', 'Drama|History|Horror',\n",
       "       'Drama|Romance|Sport', 'Comedy|Family|Musical|Romance',\n",
       "       'Romance|Sci-Fi|Thriller', 'Biography|Comedy|Drama|Romance',\n",
       "       'Mystery|Sci-Fi|Thriller', 'Drama|Fantasy|Horror',\n",
       "       'Adventure|Comedy|Drama|Fantasy|Musical', 'Horror|Mystery',\n",
       "       'Action|Adventure|Family|Fantasy|Sci-Fi|Thriller',\n",
       "       'Adventure|Comedy|Family|Fantasy|Romance|Sport',\n",
       "       'Adventure|Horror|Mystery', 'Crime|Drama|Romance|Thriller',\n",
       "       'Comedy|Crime|Drama|Thriller', 'Drama|Fantasy',\n",
       "       'Adventure|Comedy|Drama', 'Action|Biography|Drama|History|War',\n",
       "       'Adventure|Comedy|Fantasy', 'Adventure|Comedy|Crime|Drama|Family',\n",
       "       'Action|Biography|Crime|Drama|Thriller', 'Comedy|Sci-Fi',\n",
       "       'Drama|Romance|Sci-Fi',\n",
       "       'Action|Adventure|Comedy|Crime|Music|Mystery',\n",
       "       'Comedy|Drama|Music', 'Action|Crime|Drama|Sci-Fi|Thriller',\n",
       "       'Horror|Thriller', 'Action|Adventure|Comedy|Drama|War',\n",
       "       'Drama|Mystery|Sci-Fi', 'Crime|Drama|Music',\n",
       "       'Adventure|Crime|Drama|Western', 'Comedy|Drama|Thriller',\n",
       "       'Drama|Romance|War', 'Action|Comedy|Crime|Music|Romance|Thriller',\n",
       "       'Crime|Romance|Thriller', 'Action|Adventure|Drama|Sci-Fi|Thriller',\n",
       "       'Action|Drama|Fantasy|Thriller|Western',\n",
       "       'Action|Drama|Mystery|Thriller|War',\n",
       "       'Biography|Crime|Drama|Thriller', 'Action|Comedy|Crime|Romance',\n",
       "       'Action|Adventure|Family|Fantasy|Sci-Fi',\n",
       "       'Adventure|Comedy|Family|Musical', 'Action|Horror',\n",
       "       'Action|Adventure|Horror|Thriller', 'Comedy|Drama|Music|Romance',\n",
       "       'Action|Crime|Drama|Romance|Thriller',\n",
       "       'Comedy|Family|Romance|Sport', 'Drama|Family|Fantasy',\n",
       "       'Drama|Fantasy|Musical|Romance',\n",
       "       'Adventure|Comedy|Family|Fantasy|Sci-Fi', 'Comedy|Musical',\n",
       "       'Biography|Drama|History', 'Action|Crime|Drama|Thriller|War',\n",
       "       'Comedy|Crime|Thriller', 'Drama|Fantasy|Horror|Mystery',\n",
       "       'Action|Animation|Comedy|Family|Fantasy',\n",
       "       'Biography|Drama|History|Thriller',\n",
       "       'Action|Adventure|Crime|Drama|Mystery|Thriller',\n",
       "       'Animation|Family|Fantasy|Musical', 'Adventure|Drama|Western',\n",
       "       'Biography|Drama|History|Romance', 'Drama|Horror|Mystery|Thriller',\n",
       "       'Action|Fantasy|Western', 'Comedy|War', 'Drama|Music',\n",
       "       'Action|Drama|Family|Sport', 'Action|Biography|Drama|Thriller|War',\n",
       "       'Comedy|Drama|Sport', 'Adventure|Comedy|Sci-Fi|Western',\n",
       "       'Fantasy|Horror|Romance', 'Biography|Drama|Romance',\n",
       "       'Action|Adventure|Drama|Romance|War',\n",
       "       'Adventure|Comedy|Crime|Romance',\n",
       "       'Comedy|Drama|Family|Fantasy|Romance', 'Horror', 'Comedy|Music',\n",
       "       'Action|Adventure|Drama|Romance|Thriller',\n",
       "       'Biography|Drama|Music|Musical', 'Drama|History',\n",
       "       'Comedy|Music|Romance',\n",
       "       'Action|Adventure|Crime|Fantasy|Mystery|Thriller',\n",
       "       'Adventure|Drama|Mystery', 'Biography|Crime|Drama|Music',\n",
       "       'Crime|Drama|Horror|Thriller',\n",
       "       'Adventure|Animation|Comedy|Drama|Family|Fantasy|Musical',\n",
       "       'Action|Adventure|Comedy|Music|Thriller',\n",
       "       'Adventure|Animation|Comedy|Crime|Family',\n",
       "       'Comedy|Romance|Sci-Fi|Thriller', 'Comedy|Crime|Family|Romance',\n",
       "       'Crime|Horror|Thriller', 'Action|Horror|Mystery|Sci-Fi|Thriller',\n",
       "       'Comedy|Fantasy|Sci-Fi',\n",
       "       'Adventure|Animation|Comedy|Fantasy|Romance',\n",
       "       'Action|Adventure|Family|Thriller',\n",
       "       'Adventure|Comedy|Drama|Romance|Thriller|War',\n",
       "       'Adventure|Animation|Comedy|Fantasy|Music|Romance',\n",
       "       'Action|Drama|Fantasy', 'Action|Adventure|Drama|Fantasy|War',\n",
       "       'Drama|Fantasy|Romance|Sci-Fi',\n",
       "       'Animation|Comedy|Family|Horror|Sci-Fi',\n",
       "       'Biography|Drama|Romance|Sport', 'Action|Biography|Drama',\n",
       "       'Adventure|Drama', 'Horror|Mystery|Sci-Fi',\n",
       "       'Action|Adventure|Drama|Thriller|Western',\n",
       "       'Adventure|Family|Fantasy|Sci-Fi',\n",
       "       'Adventure|Comedy|History|Romance', 'Action|Biography|Drama|Sport',\n",
       "       'Drama|Family',\n",
       "       'Action|Adventure|Crime|Drama|Family|Fantasy|Romance|Thriller',\n",
       "       'Biography|Comedy|Romance', 'Action|Biography|Drama|History',\n",
       "       'Biography|Drama|War', 'Adventure|Comedy|Family|Sci-Fi',\n",
       "       'Biography|Drama|Family|History|Sport',\n",
       "       'Biography|Comedy|Drama|History|Music', 'Fantasy|Horror',\n",
       "       'Comedy|Drama|Family|Sport', 'Comedy|Drama|Romance|Sci-Fi',\n",
       "       'Adventure|Animation|Comedy|Family|War',\n",
       "       'Action|Comedy|Sci-Fi|Thriller', 'Comedy|Horror',\n",
       "       'Drama|Thriller|War', 'Action|Western',\n",
       "       'Action|Adventure|Family|Sci-Fi',\n",
       "       'Adventure|Biography|Drama|Thriller', 'Drama|Romance|War|Western',\n",
       "       'Action|Comedy|Crime|Western',\n",
       "       'Action|Adventure|Comedy|Drama|Thriller', 'Drama|Music|Romance',\n",
       "       'Action|Adventure|Crime|Drama|Thriller',\n",
       "       'Adventure|Comedy|Family|Sport', 'Comedy|Drama|Fantasy',\n",
       "       'Comedy|Family|Sport', 'Action|Adventure|Drama|Family',\n",
       "       'Action|Comedy|War', 'Drama|Family|Sport',\n",
       "       'Action|Thriller|Western', 'Action|Drama|Fantasy|Horror|Thriller',\n",
       "       'Animation|Comedy|Family|Fantasy|Musical',\n",
       "       'Action|Adventure|Comedy|Fantasy|Romance',\n",
       "       'Action|Crime|Drama|Mystery|Sci-Fi|Thriller',\n",
       "       'Adventure|Comedy|Crime|Drama', 'Drama|Mystery',\n",
       "       'Comedy|Fantasy|Horror|Thriller',\n",
       "       'Crime|Drama|Mystery|Sci-Fi|Thriller', 'Comedy|Crime|Musical',\n",
       "       'Comedy|Drama|Family|Music|Romance', 'Comedy|Horror|Romance',\n",
       "       'Comedy|Family|Fantasy|Sport',\n",
       "       'Animation|Comedy|Family|Mystery|Sci-Fi',\n",
       "       'Adventure|Comedy|Drama|Family|Sport',\n",
       "       'Animation|Drama|Family|Fantasy|Musical|Romance',\n",
       "       'Comedy|Horror|Musical|Sci-Fi', 'Crime|Drama|Sport',\n",
       "       'Action|Adventure|Animation|Drama|Mystery|Sci-Fi|Thriller',\n",
       "       'Action|Adventure|Crime|Drama|Romance', 'Action|Comedy|Horror',\n",
       "       'Adventure|Horror|Thriller', 'Adventure|Fantasy|Mystery',\n",
       "       'Action|Drama|Romance|Sport',\n",
       "       'Biography|Crime|Drama|History|Western',\n",
       "       'Action|Biography|Crime|Drama', 'Adventure|Animation|Fantasy',\n",
       "       'Adventure|Animation|Comedy|Fantasy',\n",
       "       'Biography|Drama|Music|Romance',\n",
       "       'Adventure|Drama|Mystery|Sci-Fi|Thriller',\n",
       "       'Biography|Comedy|Crime|Drama|Romance|Thriller',\n",
       "       'Biography|Crime|Drama|History|Music',\n",
       "       'Adventure|Animation|Comedy|Drama|Family|Musical',\n",
       "       'Biography|Comedy|Drama|Music|Romance',\n",
       "       'Adventure|Animation|Sci-Fi', 'Drama|Romance|Thriller',\n",
       "       'Action|Fantasy|Horror|Thriller', 'Adventure|Biography',\n",
       "       'Action|Comedy|Family', 'Action|Horror|Romance',\n",
       "       'Adventure|Drama|History|Romance|Thriller|War',\n",
       "       'Crime|Drama|Sci-Fi|Thriller', 'Action|Comedy|Crime|Music',\n",
       "       'Comedy|Drama|Family|Romance',\n",
       "       'Action|Drama|Fantasy|Mystery|Sci-Fi|Thriller',\n",
       "       'Adventure|Family|Fantasy|Horror|Mystery',\n",
       "       'Action|Crime|Drama|History|Western', 'Comedy|Crime|Drama',\n",
       "       'Comedy|Family|Fantasy|Music|Romance',\n",
       "       'Adventure|Comedy|Crime|Music',\n",
       "       'Action|Adventure|Comedy|Sci-Fi|Thriller',\n",
       "       'Action|Crime|Drama|Western',\n",
       "       'Action|Adventure|Comedy|Family|Romance|Sci-Fi',\n",
       "       'Action|Fantasy|Romance|Sci-Fi', 'Comedy|Crime|Mystery|Romance',\n",
       "       'Adventure|Family', 'Action|Drama|Music|Romance',\n",
       "       'Adventure|Comedy|Family|Fantasy|Horror|Mystery',\n",
       "       'Adventure|Fantasy|Mystery|Thriller',\n",
       "       'Action|Biography|Drama|History|Romance|Western',\n",
       "       'Fantasy|Horror|Mystery', 'Biography|Drama|Family',\n",
       "       'Action|Adventure|Comedy|Crime|Family|Romance|Thriller',\n",
       "       'Comedy|Fantasy|Horror|Romance', 'Comedy|Family|Music',\n",
       "       'Action|Comedy|Music', 'Adventure|Comedy|Crime',\n",
       "       'Biography|Comedy|Drama|Sport', 'Fantasy|Horror|Thriller',\n",
       "       'Comedy|Drama|Romance|Thriller', 'Adventure|Comedy|Family|Romance',\n",
       "       'Adventure|Family|Fantasy|Musical',\n",
       "       'Biography|Crime|Drama|History|Thriller',\n",
       "       'Action|Animation|Comedy|Family|Fantasy|Sci-Fi',\n",
       "       'Crime|Drama|History', 'Biography|Drama|Thriller|War',\n",
       "       'Drama|Music|Mystery|Romance|Thriller',\n",
       "       'Action|Adventure|Fantasy|Horror', 'Crime|Drama|Mystery|Romance',\n",
       "       'Action|Adventure|History|Romance', 'Action|Drama|Western',\n",
       "       'Adventure|Comedy|Family|Fantasy|Music|Sci-Fi',\n",
       "       'Adventure|Family|Fantasy|Music|Musical',\n",
       "       'Action|Adventure|Animation|Comedy|Fantasy',\n",
       "       'Adventure|Comedy|Horror|Sci-Fi', 'Horror|Sci-Fi',\n",
       "       'Biography|Comedy|Drama|Family|Sport',\n",
       "       'Action|Crime|Drama|Thriller|Western', 'Action|Drama|History',\n",
       "       'Drama|Fantasy|Romance|Thriller', 'Thriller', 'Comedy|Mystery',\n",
       "       'Comedy|Drama|Musical|Romance|War',\n",
       "       'Drama|History|Music|Romance|War', 'Comedy|History',\n",
       "       'Adventure|Animation|Family|Sport',\n",
       "       'Animation|Comedy|Fantasy|Musical', 'Game-Show|Reality-TV|Romance',\n",
       "       'Action|Comedy|Documentary',\n",
       "       'Adventure|Comedy|Drama|Family|Romance',\n",
       "       'Adventure|Comedy|Drama|Family|Mystery',\n",
       "       'Drama|Family|Music|Romance', 'Fantasy|Romance',\n",
       "       'Adventure|Animation|Family|Musical',\n",
       "       'Animation|Comedy|Drama|Family|Musical',\n",
       "       'Biography|Crime|Drama|History',\n",
       "       'Adventure|Comedy|Fantasy|Music|Sci-Fi',\n",
       "       'Comedy|Drama|Musical|Romance|Western',\n",
       "       'Action|Adventure|Drama|Mystery',\n",
       "       'Comedy|Crime|Family|Mystery|Romance|Thriller',\n",
       "       'Action|Adventure|Drama|Romance|Western',\n",
       "       'Adventure|Crime|Mystery|Sci-Fi|Thriller', 'Crime|Drama|Western',\n",
       "       'Adventure|Comedy|Drama|Fantasy', 'Adventure|Biography|Drama',\n",
       "       'Adventure|Drama|Horror|Mystery|Thriller', 'Crime|Fantasy|Horror',\n",
       "       'Animation|Family|Fantasy|Mystery', 'Action|Comedy|Crime|Fantasy',\n",
       "       'Comedy|Family|Music|Musical', 'Crime|Documentary|News',\n",
       "       'Drama|Mystery|Romance|Thriller|War', 'Action|Crime|Drama|Sport',\n",
       "       'Comedy|Drama|Music|War', 'Comedy|Musical|Romance',\n",
       "       'Comedy|Drama|Music|Musical|Romance',\n",
       "       'Comedy|Crime|Drama|Mystery|Romance',\n",
       "       'Biography|Comedy|Drama|History|Music|Musical',\n",
       "       'Animation|Drama|Mystery|Sci-Fi|Thriller',\n",
       "       'Adventure|Comedy|Drama|Romance',\n",
       "       'Comedy|Drama|Mystery|Romance|Thriller|War',\n",
       "       'Biography|Comedy|Musical',\n",
       "       'Action|Adventure|Animation|Family|Sci-Fi|Thriller',\n",
       "       'Crime|Drama|Mystery|Romance|Thriller',\n",
       "       'Comedy|Family|Fantasy|Sci-Fi',\n",
       "       'Action|Comedy|Crime|Fantasy|Horror|Mystery|Sci-Fi|Thriller',\n",
       "       'Romance|Short', 'Animation', 'Drama|Horror',\n",
       "       'Comedy|Drama|Reality-TV|Romance', 'Adventure|Comedy|Romance',\n",
       "       'Family|Fantasy|Music', 'Crime|Drama|Music|Thriller',\n",
       "       'Action|Drama|Fantasy|Mystery|Thriller',\n",
       "       'Biography|Drama|History|Music', 'Biography|Drama|Family|Sport',\n",
       "       'Comedy|Drama|War', 'Biography|Drama|Romance|War',\n",
       "       'Action|Horror|Romance|Sci-Fi|Thriller', 'Music',\n",
       "       'Action|Drama|History|Romance|War|Western',\n",
       "       'Action|Animation|Sci-Fi|Thriller',\n",
       "       'Action|Animation|Comedy|Crime|Family',\n",
       "       'Drama|Family|Music|Musical', 'Drama|Family|Musical|Romance',\n",
       "       'Comedy|Drama|Family|Fantasy|Sci-Fi',\n",
       "       'Comedy|Crime|Drama|Music|Romance',\n",
       "       'Adventure|Comedy|Family|Fantasy|Musical',\n",
       "       'Adventure|Crime|Drama|Romance', 'Comedy|Mystery|Sci-Fi|Thriller',\n",
       "       'Sci-Fi', 'Drama|Fantasy|War', 'Action|Comedy|Crime|Family',\n",
       "       'Action|Comedy|Mystery', 'Comedy|Crime|Mystery',\n",
       "       'Action|Crime|Sci-Fi', 'Comedy|Horror|Sci-Fi',\n",
       "       'Action|Comedy|Drama|Thriller', 'Drama|Family|Romance',\n",
       "       'Adventure|Comedy|Family|Music|Romance', 'Comedy|Horror|Thriller',\n",
       "       'Comedy|Family|Music|Romance',\n",
       "       'Adventure|Fantasy|Horror|Mystery|Thriller',\n",
       "       'Crime|Drama|Musical|Romance', 'Family|Music|Romance',\n",
       "       'Drama|Fantasy|Mystery|Sci-Fi',\n",
       "       'Biography|Drama|History|Thriller|War',\n",
       "       'Adventure|Crime|Drama|Mystery|Western',\n",
       "       'Drama|Fantasy|Horror|Romance', 'Comedy|Crime|Drama|Thriller|War',\n",
       "       'Action|Adventure|Drama|History|Thriller|War',\n",
       "       'Action|Comedy|Drama|War', 'Comedy|Drama|Fantasy|Music|Romance',\n",
       "       'Biography|Drama|Fantasy|History', 'Biography',\n",
       "       'Drama|Family|Music', 'Adventure|Mystery|Thriller',\n",
       "       'Comedy|Mystery|Romance', 'Biography|Crime|Drama|War',\n",
       "       'Crime|Drama|Music|Mystery|Thriller', 'Biography|Comedy|Drama|War',\n",
       "       'Comedy|Crime|Family|Sci-Fi', 'Adventure|Family|Sci-Fi',\n",
       "       'Adventure|Comedy|Romance|Sci-Fi',\n",
       "       'Action|Adventure|Comedy|Family',\n",
       "       'Biography|Comedy|Crime|Drama|Romance', 'Crime|Drama|Musical',\n",
       "       'Animation|Comedy|Crime|Drama|Family',\n",
       "       'Action|Adventure|Comedy|Fantasy|Mystery',\n",
       "       'Action|Adventure|Drama|Thriller|War', 'Crime|Drama|Music|Romance',\n",
       "       'Adventure|Animation|Comedy|Crime',\n",
       "       'Adventure|Comedy|Fantasy|Sci-Fi',\n",
       "       'Comedy|Drama|Family|Fantasy|Musical',\n",
       "       'Action|Adventure|Biography|Drama|History', 'Comedy|Crime|Family',\n",
       "       'Adventure|Drama|Thriller|War', 'Comedy|Drama|Horror|Sci-Fi',\n",
       "       'Adventure|Crime|Thriller', 'Mystery|Romance|Sci-Fi|Thriller',\n",
       "       'Fantasy|Mystery|Thriller', 'Family|Musical',\n",
       "       'Adventure|Crime|Drama|Mystery|Thriller',\n",
       "       'Drama|Fantasy|Music|Romance', 'Adventure|Drama|History|War',\n",
       "       'Family|Sci-Fi', 'Drama|History|Romance|Western',\n",
       "       'Adventure|Comedy|Music|Sci-Fi', 'Drama|Family|Musical',\n",
       "       'Action|Comedy|Drama|Music', 'Fantasy|Horror|Sci-Fi', 'Western',\n",
       "       'Comedy|Romance|Thriller', 'Biography|Crime|Drama|Romance',\n",
       "       'Adventure|Comedy|Drama|Romance|Sci-Fi',\n",
       "       'Drama|Music|Mystery|Romance', 'Action|Crime|Drama',\n",
       "       'Adventure|Biography|Drama|War', 'Action|Comedy|Drama',\n",
       "       'Adventure|Animation', 'Comedy|Drama|Horror|Romance',\n",
       "       'Action|Comedy|Drama|Western', 'Comedy|Crime|Drama|Mystery',\n",
       "       'Adventure|Animation|Fantasy|Horror|Sci-Fi',\n",
       "       'Action|Drama|Romance|Thriller',\n",
       "       'Biography|Comedy|Drama|Family|Romance',\n",
       "       'Action|Biography|Drama|History|Romance|War',\n",
       "       'Action|Animation|Fantasy|Horror|Mystery|Sci-Fi|Thriller',\n",
       "       'Action|Adventure|Animation|Drama|Fantasy|Sci-Fi',\n",
       "       'Horror|Musical|Sci-Fi', 'Biography|Drama|Family|Musical|Romance',\n",
       "       'Comedy|Crime|Drama|Romance|Thriller',\n",
       "       'Adventure|Drama|Fantasy|Mystery',\n",
       "       'Animation|Comedy|Drama|Romance', 'Comedy|Crime|Musical|Romance',\n",
       "       'Comedy|Crime|Musical|Mystery', 'Action|Animation|Sci-Fi',\n",
       "       'Drama|War|Western', 'Drama|Romance|Sci-Fi|Thriller',\n",
       "       'Animation|Biography|Drama|War', 'Adventure|Fantasy|Thriller',\n",
       "       'Documentary|Sport', 'Crime|Horror',\n",
       "       'Adventure|Biography|Drama|History',\n",
       "       'Action|Crime|Horror|Sci-Fi|Thriller',\n",
       "       'Comedy|Fantasy|Horror|Mystery',\n",
       "       'Action|Adventure|Animation|Comedy|Drama|Family|Fantasy|Thriller',\n",
       "       'Action|Adventure|Drama|Fantasy|Sci-Fi', 'Drama|Mystery|War',\n",
       "       'Action|Comedy|Crime|Drama|Romance|Thriller',\n",
       "       'Comedy|Drama|Musical', 'Mystery|Romance|Thriller',\n",
       "       'Adventure|Comedy|Drama|Family', 'Action|Adventure|Drama|Western',\n",
       "       'Musical|Romance', 'Documentary|Drama|War',\n",
       "       'Biography|Crime|Drama|Western', 'Comedy|Family|Fantasy|Musical',\n",
       "       'Crime|Drama|Musical|Romance|Thriller',\n",
       "       'Fantasy|Horror|Romance|Thriller', 'Adventure|Documentary|Short',\n",
       "       'Adventure|Crime|Drama|Thriller', 'Thriller|War', 'Action|Sport',\n",
       "       'Musical', 'Mystery|Western', 'Comedy|Drama|History|Romance',\n",
       "       'Comedy|Horror|Sci-Fi|Thriller',\n",
       "       'Drama|Horror|Mystery|Sci-Fi|Thriller', 'Comedy|Documentary',\n",
       "       'Adventure|Drama|Family|Fantasy|Sci-Fi',\n",
       "       'Adventure|Drama|Family|Romance|Western', 'Adventure|Horror',\n",
       "       'Comedy|Music|Sci-Fi', 'Biography|Crime|Drama|Romance|Thriller',\n",
       "       'Comedy|Crime|Drama|Mystery|Thriller',\n",
       "       'Biography|Crime|Drama|Mystery|Thriller',\n",
       "       'Crime|Horror|Music|Thriller', 'Crime|Documentary|War',\n",
       "       'Crime|Thriller|War', 'Comedy|Crime|Horror|Thriller',\n",
       "       'Animation|Comedy', 'Family', 'Comedy|Drama|Romance|War',\n",
       "       'Biography|Drama|Romance|Western', 'Drama|Musical',\n",
       "       'Adventure|Comedy|Western', 'Action|Drama|History|Thriller|War',\n",
       "       'Fantasy|Thriller', 'Drama|Horror|Mystery',\n",
       "       'Adventure|Drama|History|Thriller|War',\n",
       "       'Comedy|Documentary|Drama|Fantasy|Mystery|Sci-Fi',\n",
       "       'Crime|Drama|Fantasy|Romance', 'Action|Crime|Horror|Thriller',\n",
       "       'Comedy|Horror|Mystery', 'Drama|Family|History|Musical',\n",
       "       'Adventure|Biography|Drama|Romance', 'Adventure|War|Western',\n",
       "       'Biography|Comedy|Musical|Romance|Western',\n",
       "       'Adventure|Comedy|Musical|Romance', 'Comedy|Drama|Romance|Western',\n",
       "       'Action|Adventure|Comedy|Musical', 'Comedy|Drama|Fantasy|Horror',\n",
       "       'Action|Biography|Crime|Drama|Family|Fantasy',\n",
       "       'Action|Animation|Crime|Sci-Fi|Thriller',\n",
       "       'Action|Comedy|Horror|Thriller', 'Crime|Documentary|Drama',\n",
       "       'Biography|Comedy|Documentary', 'Comedy|Thriller',\n",
       "       'Comedy|Documentary|Music', 'Action|Adventure|Romance|Western',\n",
       "       'Crime|Drama|History|Romance', 'Family|Fantasy|Musical',\n",
       "       'Comedy|Drama|Horror', 'Drama|Family|Western',\n",
       "       'Comedy|Drama|Horror|Sci-Fi|Thriller', 'Drama|Horror|Romance',\n",
       "       'Adventure|Crime|Drama', 'Action|Adventure|Crime|Drama',\n",
       "       'Adventure|Family|Sport', 'Romance',\n",
       "       'Action|Adventure|Animation|Comedy|Sci-Fi',\n",
       "       'Drama|Fantasy|Romance|War', 'Documentary|History|Sport',\n",
       "       'Action|Drama|Horror|Thriller', 'Comedy|Crime|Drama|Sci-Fi',\n",
       "       'Comedy|Family|Musical|Romance|Short', 'Comedy|Documentary|War',\n",
       "       'Comedy|Drama|Mystery|Romance|Thriller',\n",
       "       'Action|Comedy|Horror|Sci-Fi', 'Adventure|Drama|Romance|Western',\n",
       "       'Animation|Comedy|Drama', 'Adventure|Documentary|Drama|Sport',\n",
       "       'Crime|Documentary',\n",
       "       'Animation|Biography|Documentary|Drama|History|War',\n",
       "       'Documentary|War', 'Documentary|History',\n",
       "       'Biography|Documentary|History',\n",
       "       'Action|Adventure|Comedy|Drama|Music|Sci-Fi',\n",
       "       'Biography|Comedy|Drama|Music', 'Animation|Comedy|Family|Romance',\n",
       "       'Horror|Romance|Sci-Fi', 'Action|Comedy|Fantasy|Horror',\n",
       "       'Crime|Drama|Film-Noir|Mystery|Thriller',\n",
       "       'Comedy|Fantasy|Musical|Sci-Fi',\n",
       "       'Action|Adventure|History|Western',\n",
       "       'Documentary|Drama|History|News',\n",
       "       'Biography|Crime|Documentary|History|Thriller',\n",
       "       'Crime|Drama|Film-Noir', 'Film-Noir|Mystery|Romance|Thriller',\n",
       "       'Comedy|Crime|Sci-Fi|Thriller', 'Adventure|Comedy|Horror',\n",
       "       'Action|Crime|Drama|Mystery', 'Horror|Romance|Thriller',\n",
       "       'Drama|Film-Noir|Mystery|Thriller', 'Drama|Film-Noir',\n",
       "       'Crime|Film-Noir|Thriller', 'Action|Adventure|Romance|War',\n",
       "       'Action|Horror|Mystery|Thriller', 'Adventure|Comedy|Sport',\n",
       "       'Comedy|Horror|Musical', 'Adventure|Comedy|History',\n",
       "       'Action|Drama|Romance|War', 'Biography|Documentary|Music',\n",
       "       'Comedy|Fantasy|Mystery', 'Biography|Crime|Documentary|History',\n",
       "       'Adventure|Biography|Documentary|Drama',\n",
       "       'Action|Adventure|Comedy|Fantasy|Sci-Fi', 'Drama|Musical|Sci-Fi',\n",
       "       'Documentary|News', 'Comedy|Fantasy|Thriller',\n",
       "       'Animation|Drama|Family', 'Drama|Fantasy|Sci-Fi',\n",
       "       'Action|Comedy|Drama|Sci-Fi', 'Action|Adventure|Drama|War',\n",
       "       'Horror|Sci-Fi|Short|Thriller',\n",
       "       'Action|Adventure|Animation|Comedy|Fantasy|Sci-Fi',\n",
       "       'Thriller|Western', 'Documentary|Drama|Sport',\n",
       "       'Documentary|History|Music', 'Biography|Documentary|Drama',\n",
       "       'Adventure|Family|Romance',\n",
       "       'Adventure|Biography|Drama|Horror|Thriller',\n",
       "       'Documentary|Family|Music', 'Biography|Documentary|Sport',\n",
       "       'History', 'Action|Romance|Sport', 'Horror|Musical',\n",
       "       'Comedy|Mystery|Thriller', 'Action|Biography|Documentary|Sport',\n",
       "       'Comedy|Fantasy|Horror|Musical', 'Drama|Fantasy|Sci-Fi|Thriller',\n",
       "       'Biography|Documentary', 'Animation|Drama',\n",
       "       'Action|Fantasy|Horror|Mystery|Thriller',\n",
       "       'Action|Comedy|Sci-Fi|Sport',\n",
       "       'Comedy|Crime|Drama|Horror|Mystery|Thriller',\n",
       "       'Action|Adventure|Mystery|Romance|Thriller',\n",
       "       'Animation|Comedy|Drama|Fantasy|Sci-Fi',\n",
       "       'Action|Drama|Fantasy|Sci-Fi', 'Comedy|Short',\n",
       "       'Adventure|Drama|Fantasy|Thriller|Western',\n",
       "       'Adventure|Horror|Sci-Fi', 'Comedy|Drama|History|Musical|Romance',\n",
       "       'Comedy|Horror|Mystery|Thriller',\n",
       "       'Drama|Music|Mystery|Romance|Sci-Fi', 'Adventure|Documentary',\n",
       "       'Documentary|Family', 'Comedy|Crime|Drama|Horror|Thriller',\n",
       "       'Comedy|Documentary|Drama', 'Crime|Drama|Horror',\n",
       "       'Comedy|Crime|Horror'], dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_dataset.genres.unique() #This function will give us the unique genres from the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 15,
     "status": "ok",
     "timestamp": 1700750397329,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "CaljTQ0u6QZe",
    "outputId": "f0493326-aad6-45b7-fa58-a13e6de47c73",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4998"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_dataset.genres.count() #checking the total count of genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 5,
     "status": "ok",
     "timestamp": 1700750397329,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "DaGg7LJ_-D2L",
    "outputId": "9a37874b-b250-44bd-ed86-78516d206113"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "914"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_dataset.genres.nunique() #count of unique genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 5,
     "status": "ok",
     "timestamp": 1700750397329,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "PUBomB6y6QZe",
    "outputId": "d31c2d52-c1cb-4d84-b6b3-d250c79a8359",
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_dataset.duplicated().sum() #To find out the number of duplicate records in the dataset.\n",
    "#Here we got a total of 45 Duplicate records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "executionInfo": {
     "elapsed": 1975,
     "status": "ok",
     "timestamp": 1700750399300,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "tcVFxeoS6QZe",
    "outputId": "2687382c-fbc6-4c10-9b56-d39aff5d84c9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Null Values before Removal:\n",
      "color                       19\n",
      "director_name              103\n",
      "critic_Reviews              49\n",
      "duration                    15\n",
      "director_facebook_likes    103\n",
      "actor_3_facebook_likes      23\n",
      "actor_2_name                13\n",
      "actor_1_facebook_likes       7\n",
      "gross                      874\n",
      "genres                       0\n",
      "actor_1_name                 7\n",
      "movie_title                  0\n",
      "num_voted_users              0\n",
      "total_FB_Likes               0\n",
      "actor_3_name                23\n",
      "facenumber_in_poster        13\n",
      "plot_keywords              152\n",
      "movie_imdb_link              0\n",
      "num_user_for_reviews        21\n",
      "language                    14\n",
      "country                      5\n",
      "content_rating             301\n",
      "budget                     487\n",
      "title_year                 107\n",
      "actor_2_facebook_likes      13\n",
      "imdb_score                   0\n",
      "aspect_ratio               327\n",
      "movie_facebook_likes         0\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MQH5+Pk6fPl1pGfv378cPP/yAgoICyMlVvV1Eq0sIIYRUlURWlxxbzUk5yt/5c1KOuIl1dUlxcTF27tyJsWPHimxgiMrCKkpubi40NDSq1cAghBBCiHSJ9bf24cOH8fbtW4wePVrkdVFZWD/36tUr/P7775g4caKYakkIIYRISCMbLhFrIyM0NBRubm4wNjYWeV1UFtZP5eXlwd3dHba2tggMDPxirKKiIhQVFQmcY4zR1uKEEELqjka2hFVswyVPnjzBf//9h/Hjx4u8XpGFtbLr+fn56Nu3L9TU1BAeHg55efkvxgsKCoKmpqbAwcrya/0chBBCCKkZsTUywsLCoK+vD3d3d5HXv5SFNS8vD66urlBQUEBERESlPR2foiyshBBC6ryyMm6OekIswyVlZWUICwvDqFGjRE7W/FIW1vz8fLi6uqKwsBA7d+5EXl4e8vLyAAB6enqQlZUVGZPLLKw1zfwHSD6hT4PMUviZxvCMhEgKvZ+krJENl4ilkfHff/8hPT0dY8eOFXn9S1lYr1+/jsuXLwMArKysBK49fvwY5ubmnNf3c/XpzVSf6lpTjeEZCZEUej9JWT3qheACZWElhBBCIKF9Mg4s5qQc5e9/46QccaONJwghhBBJaWQ9GdTIIIQQQiSl4Q4eiCTWHT8JIYQQ0niJpZGRn5+P6dOnw8zMDMrKynB2dsbVq1cF7rl79y48PDygqakJdXV1dOrUCenp6fzr3bt3F8rUOmzYMHFUlxBCCJEMWsJae+PHj8etW7fwzz//wNjYGDt37kSvXr1w584dNG3aFI8ePUKXLl0wbtw4LFy4EJqamrh7967QfhgTJkzAokWL+F8rKyuLo7qEEEKIZNSjBgIXOF9d8v79e6irq+PIkSMCG3E5ODjgu+++w+LFizFs2DDIy8vjn3/+qbSc7t27w8HBAWvXrq1xXWh1CSGEkKqSyOqSXfM4KUfZ+3dOyhE3zodLPn78iNLSUqFeCWVlZZw7dw5lZWU4fvw4WrZsiT59+kBfXx8dO3bE4cOHhcratWsXdHV1YWdnh19//RX5+bRNOCGEkHqMlXFz1BOcNzLU1dXh5OSE33//HZmZmSgtLcXOnTtx+fJlZGVl4cWLF3j37h2WLVuGvn37IioqCgMHDsSgQYMQFxfHL8fb2xt79uxBbGws5s2bh4MHD34xWyshhBBS50lxTkZwcDAsLCygpKQER0dHxMd/effXXbt2wd7eHioqKjAyMsKYMWPw6tWrasUUy2Zcjx49wtixY3H27FnIysqiffv2aNmyJRISEvDff/+hadOmGD58OHbv3s1/jYeHB1RVVbFnzx6RZV6/fh0dOnTA9evX0b59e6HrorKwauu0oiyshBBCqkQiwyU7AjgpR3lkULXu37dvH3x8fBAcHIzOnTtj06ZN2LJlC+7cuQNTU1Oh+8+dO4du3bphzZo16N+/PzIyMjBp0iS0aNEC4eHhVY4rltUllpaWiIuLw7t37/D06VNcuXIFJSUlsLCwgK6uLuTk5GBrayvwGhsbG4HVJZ9r37495OXl8eDBA5HXKQsrIYSQOo8xbo5qWr16NcaNG4fx48fDxsYGa9euhYmJCUJCQkTef+nSJZibm8PX1xcWFhbo0qULJk6ciGvXrlUrrlj3yVBVVYWRkRHevHmDU6dOwdPTEwoKCvjmm29w//59gXtTUlJgZmZWaVm3b99GSUkJjIyMRF6nLKyEEELqPCkMlxQXF+P69etwdXUVOO/q6ooLFy6IfI2zszOePXuGEydOgDGG58+f48CBA5VmVq+MWJawnjp1CowxWFtb4+HDh5gxYwasra0xZswYAMCMGTPg5eWFrl27wsXFBZGRkTh69ChiY2MBlA+37Nq1C/369YOuri7u3LmDX375Be3atUPnzp1FxuQyCyshhBAiFhwtYRU1RUDU70EAyMnJQWlpKQwMDATOGxgYIDs7W2T5zs7O2LVrF7y8vPDhwwd8/PgRHh4e+PPPP6tVT7H0ZOTm5uLnn39Gq1atMHLkSHTp0gVRUVGQl5cHAAwcOBAbN27EH3/8gTZt2mDLli04ePAgunTpAgBQUFDA6dOn0adPH1hbW8PX1xeurq7477//Kk31TgghhDQWoqYIBAV9eZ7G5394M8Yq/WP8zp078PX1xfz583H9+nVERkbi8ePHmDRpUrXqSVlYCSGEEEho4ucWf07KkfEJqnJPRnFxMVRUVLB//34MHDiQf37atGlISkoSWNlZwcfHBx8+fMD+/fv5586dO4dvv/0WmZmZlU5dEKpnVR+IEEIIIbXDyhgnh6KiIjQ0NAQOUQ0MoHx0wNHREdHR0QLno6Oj4ezsLPI1hYWFkJERbCJUjCRUp2+CGhmEEEJIA+fv748tW7Zg69atuHv3Lvz8/JCens4f/ggICMDIkSP59/fv3x+HDh1CSEgIUlNTcf78efj6+uJ///sfjI2NqxyXUr0TQgghkiKl3CVeXl549eoVFi1ahKysLLRu3RonTpzgr+rMysoS2EZi9OjRyM/Px4YNG/DLL79AS0sLPXr0wPLly6sVl+ZkEEIIIZDMnIzCkKmclKPyU/VWeUhLtYdLzp49i/79+8PY2Bg8Hk8o58ihQ4fQp08f6OrqgsfjISkpSaiMqqRxT0lJgaenJ3R1daGhoYHOnTvjzJkz1a0uIYQQQqSk2o2MgoIC2NvbY8OGDZVe79y5M5YtW/bFciZMmICsrCz+sWnTJoHr7u7u+PjxI2JiYnD9+nV+FtfK1vQSQgghdV4Z4+aoJ6o9J8PNzQ1ubm6VXvfx8QEApKWlfbEcFRUVGBoairyWk5ODhw8fYuvWrWjbti0AYNmyZQgODsbt27crfR0hhBBSp0lpToa0SG11yZfSuOvo6MDGxgY7duxAQUEBPn78iE2bNsHAwACOjo7SqjIhhBBCqkEqq0u8vb1hYWEBQ0ND3Lp1CwEBAUhOTuav4eXxeIiOjoanpyfU1dUhIyMDAwMDREZGQktLS2SZorZY/dJuZoQQQojENbKeDKk0MiZMmMD//9atW6NFixbo0KEDEhIS0L59ezDGMHnyZOjr6yM+Ph7KysrYsmULvvvuO1y9elXkTmNBQUFYuHChwDmejBp4shpifx5CCCGkShrugk6R6sRmXJ+ncY+JicGxY8ewd+9edO7cGe3bt0dwcDCUlZWxfft2kWVQFlZCCCF1nhSysEpTndiM6/M07oWFhQAgtKWpjIwMyir55lIWVkIIIaRuqXYj4927d3j48CH/68ePHyMpKQlNmjSBqakpXr9+jfT0dGRmZgIA7t+/DwAwNDSEoaFhldK4Ozk5QVtbG6NGjcL8+fOhrKyMv//+G48fP652LntCCCGkzqhHy0+5UO3hkmvXrqFdu3Zo164dgPL90Nu1a4f58+cDACIiItCuXTt+Y2DYsGFo164dNm7cCKBqadx1dXURGRmJd+/eoUePHujQoQPOnTuHI0eOwN7enpMHJ4QQQiSOlXFz1BO0rTghhBACCW0rvmIsJ+WozNjKSTniVifmZBBCCCGNQiMbLqFGBiGEECIhrB6tDOFCnVjCSgghhJCGh/MsrAsWLECrVq2gqqoKbW1t9OrVC5cvXxa4pypZWJcsWQJnZ2eoqKhUussnIYQQUq80sgRpnGdhbdmyJTZs2ICbN2/i3LlzMDc3h6urK16+fClw39eysBYXF2PIkCH46aefqltFQgghpG5qZKtLOM/COmLECIGvV69ejdDQUNy4cQM9e/bkn/9SFlYA/C3Ct23bVt0qEkIIIaQOEOucjOLiYmzevBmamppC+1t8KQsrIYQQ0iA1suESsawuOXbsGIYNG4bCwkIYGRkhOjoaurq6/Otfy8JKCCGENEiNbHWJWBoZLi4uSEpKQk5ODv7++28MHToUly9fhr6+PoCvZ2GtCUr1TgghpM6rR70QXBDLcImqqiqsrKzQqVMnhIaGQk5ODqGhoZXe/3kW1poICgqCpqamwMHKaAiGEEIIkRaJ7JPBGBPqZfjU51lYa4JSvRNCCKnzaHXJl30pC6uOjg6WLFkCDw8PGBkZ4dWrVwgODsazZ88wZMgQAKhSFlYASE9P52d0LS0tRVJSEgDAysoKampqQvWiVO+EEELqvEY2XFLtRsa1a9fg4uLC/9rf3x8AMGrUKGzcuBH37t3D9u3bkZOTAx0dHXzzzTeIj4+HnZ0dgP/Lwrpu3Tq8e/cOJiYmcHd3R2BgID8LKwDMnz8f27dv539dkfX1zJkz6N69e40elhBCCCGSQ1lYCSGEEEgmC+u7gMGclKMWdJCTcsSNEqQRQgghktLIhksoQRohhBBCxIJ6MgghhBBJoZ6ML/taFtbRo0cLZVjt1KmTyLIYY3BzcxNZToWioiI4ODiAx+PxV5iQxuV9ZnyNDkIIqXNoCeuXVWRhHTNmDAYPFj2BpW/fvggLC+N/raCgIPK+tWvXfnWZ6cyZM2FsbIzk5OTqVpU0EMrG30q7CoQQQmqA8yysQPmeFV/KsAoAycnJWL16Na5evVrpJlwnT55EVFQUDh48iJMnT1a3qqSBqGmvBDVOSEPWGN4XDfIZG9lwiVjmZMTGxkJfXx9aWlro1q0blixZws9bAgCFhYUYPnw4NmzYUGlj5Pnz55gwYQIOHz4MFRUVcVST1BN1+gODEClpDO+LhviMrJE1MjhfXeLm5oZdu3YhJiYGq1atwtWrV9GjRw+BbcX9/Pzg7OwMT09PkWUwxjB69GhMmjQJHTp04LqKhBBCiHRQqvfa8fLy4v9/69at0aFDB5iZmeH48eMYNGgQIiIiEBMTg8TExErL+PPPP5GXl4eAgIAqx6UsrIQQQkjdIvZ9MoyMjGBmZsbPsBoTE4NHjx5BS0sLcnJykJMrb+cMHjyYv114TEwMLl26BEVFRcjJycHKygoA0KFDB4waNUpkHMrCSgghpM4rK+PmqCdqta04j8dDeHg4BgwYUOk9r169QtOmTbF582aMHDkS2dnZyMnJEbinTZs2WLduHfr37w8LCwukp6cjLy+Pfz0zMxN9+vTBgQMH0LFjRzRr1kwojqieDG2dVtSTQQghpEoksa14/uQvL5yoKvXg+rEYgtMsrE2aNMGCBQswePBgGBkZIS0tDXPmzIGuri4GDhwIADA0NBQ52dPU1BQWFhb8//9URdZVS0tLkQ0MgLKwEkIIIXUNp1lYQ0JCcPPmTezYsQNv376FkZERXFxcsG/fPqirq3NXa0IIIaQ+qkeTNrlAWVgJIYQQSGa4JG9iH07K0dh0ipNyxI0SpBFCCCFELChBGiGEECIpjWy4hBoZhBBCiKQ0skYG51lYP8/AWnGsWLGCf8/EiRNhaWkJZWVl6OnpwdPTE/fu3eNfj42NrbScq1ev1vxpCSGEECIx1W5kVGRh3bBhg8jrWVlZAsfWrVvB4/EEMrY6OjoiLCwMd+/exalTp8AYg6urK0pLSwEAzs7OQuWMHz8e5ubmtM04IYSQeouVMU6O+kLsm3ENGDAA+fn5OH36dKX33LhxA/b29nj48CEsLS2FrpeUlKBZs2aYMmUK5s2bV+X60eoSQgghVSWJ1SW5o3pyUo7m9sp/p9YlYp2T8fz5cxw/fhzbt2+v9J6CggKEhYXBwsICJiYmIu+JiIhATk4ORo8eLaaaEkIIIRJQf3YE54RYGxnbt2+Huro6Bg0aJHQtODgYM2fOREFBAVq1aoXo6GgoKCiILCc0NBR9+vSptBFCGrb3mfE1el1DTBNNCCH1iVgbGVu3boW3tzeUlJSErnl7e6N3797IysrCypUrMXToUJw/f17o3mfPnuHUqVP4999/vxiLsrA2XNRYIIQ0FPVpPgUXxNbIiI+Px/3797Fv3z6R1ysypbZo0QKdOnWCtrY2wsPDMXz4cIH7wsLCoKOjAw8Pjy/GCwoKwsKFCwXO8WTUwJPVqN2DEKmjngxCSINBjQxuhIaGwtHREfb29lW6nzEmsiciLCwMI0eOhLy8/BdfHxAQwM+jUkFbp1X1Kk3qJGosEEJI/cRpFtaK7Kl5eXnYv38/Vq1aJfT61NRU7Nu3D66urtDT00NGRgaWL18OZWVl9OvXT+DemJgYPH78GOPGjftqvSgLKyGEkDqPJn5+2ZeysG7btg0AsHfvXjDGhIY+AEBJSQnx8fFYu3Yt3rx5AwMDA3Tt2hUXLlyAvr6+wL2hoaFwdnaGjY1NdatJCCGE1DmNbU4GZWElhBBCIJl9Mt4M6c5JOdr7YzkpR9wodwmp82jiJyGkwaDhEkLqFmosEEIaisY2XFLt3CWEEEIIIVVBPRmkzqPhEkJIg9HIhks4T/X+/PlzjB49GsbGxlBRUUHfvn3x4MEDgXu+luodAN68eQMfHx/+pl0+Pj54+/ZttR+Q1H/Kxt/W6CCEkLqGlXFz1BecpnpnjGHAgAFITU3FkSNHkJiYCDMzM/Tq1QsFBQX8+76W6h0ARowYgaSkJERGRiIyMhJJSUnw8fGp4WMSQgghdUAZR0c9wWmq95SUFFhbW+PWrVuws7MDAJSWlkJfXx/Lly/H+PHjRZbzear3u3fvwtbWFpcuXULHjh0BAJcuXYKTkxPu3bsHa2vrKtWPlrASQgipKkksYX3l3o2TcnSOx3FSjrhxOvGzYlvwT5OcycrKQkFBAefOnRP5GlGp3i9evAhNTU1+AwMAOnXqBE1NTVy4cIHLKhNCCCESQ8MltdCqVSuYmZkhICAAb968QXFxMZYtW4bs7GxkZWUJ3BscHAw1NTWoqakhMjJSINV7dna20O6fAKCvr4/s7Gwuq0wIIYRITiMbLuG0kSEvL4+DBw8iJSUFTZo0gYqKCmJjY+Hm5gZZWVmBe729vZGYmIi4uDi0aNECQ4cOxYcPH/jXReUd+VLq9qKiIuTl5QkcDXgzU0IIIaTO43yfDEdHRyQlJeHt27fIyspCZGQkXr16BQsLC4H7KtK8d+3aFQcOHMC9e/cQHh4OADA0NMTz58+Fyn758iUMDAxExg0KCuKvRKk4WFk+149HCCGE1Jg0h0uCg4NhYWEBJSUlODo6Ij7+y9sDFBUVYe7cuTAzM4OioiIsLS2xdevWasUU22Zcmpqa0NPTw4MHD3Dt2jV4enp+8f5PU707OTkhNzcXV65c4V+/fPkycnNz4ezsLPL1AQEByM3NFTh4MurcPRAhhBBSS9JqZOzbtw/Tp0/H3LlzkZiYiG+//RZubm5IT0+v9DVDhw7F6dOnERoaivv372PPnj1o1apVteJWe3XJp6ne27Vrh9WrV8PFxYWf6n3//v3Q09ODqakpbt68iWnTpsHR0REHDx4EUHmq9/j4eNy9e5c/F8PNzQ2ZmZnYtGkTAODHH3+EmZkZjh49WuW60uoSQgghVSWJ1SUvenKzukT/dPVWl3Ts2BHt27dHSEgI/5yNjQ0GDBiAoKAgofsjIyMxbNgwpKamokmTJjWuZ7V7Mq5du4Z27dqhXbt2AMpTvbdr1w7z588HAGRlZcHHxwetWrWCr68vfHx8sGfPHv7rK1K99+vXD1ZWVhg6dChUVVWFUr3v2rULbdq0gaurK1xdXdG2bVv8888/NX5QQgghRNqk0ZNRXFyM69evw9XVVeC8q6trpSs2IyIi0KFDB/zxxx9o2rQpWrZsiV9//RXv37+vVuxqbyvevXv3L06o9PX1ha+vb6XXjY2NceLEia/GadKkCXbu3Fnd6pEGiLYVJ6RxapDvfSZ68UJ1FRUV8acYVFBUVISioqLQvTk5OSgtLRWa02hgYFDpis3U1FScO3cOSkpKCA8PR05ODiZPnozXr19Xa14G5S4hdV6d/sAghIgNvfcrFxQUhIULFwqcCwwMxIIFCyp9zeerM7+0YrOsrAw8Hg+7du2CpqYmAGD16tX4/vvv8ddff0FZWblK9aRGBiGEECIhXG2kFRAQAH9/f4FzonoxAEBXVxeysrJCvRYvXryodMWmkZERmjZtym9gAOVzOBhjePbsGVq0aFGlelKqd0IIIURCWBmPk0NRUREaGhoCR2WNDAUFBTg6OiI6OlrgfHR0dKUrNjt37ozMzEy8e/eOfy4lJQUyMjJo1qxZlZ+3Wo2MoKAgfPPNN1BXV4e+vj4GDBiA+/fvC9xz6NAh9OnTB7q6uuDxeEhKShK4/vr1a0ydOhXW1tZQUVGBqakpfH19kZubK3Cfh4cHTE1NoaSkBCMjI/j4+CAzM7M61SWEEELqFGktYfX398eWLVuwdetW3L17F35+fkhPT8ekSZMAlPeMjBw5kn//iBEjoKOjgzFjxuDOnTs4e/YsZsyYgbFjx1Z5qASoZiMjLi4OP//8My5duoTo6Gh8/PgRrq6uAhlWCwoK0LlzZyxbtkxkGZmZmcjMzMTKlStx8+ZNbNu2DZGRkRg3bpzAfS4uLvj3339x//59HDx4EI8ePcL3339fneoSQgghBICXlxfWrl2LRYsWwcHBAWfPnsWJEydgZmYGoHxl6Kd7ZqipqSE6Ohpv375Fhw4d4O3tjf79+2P9+vXVilurLKwvX76Evr4+4uLi0LVrV4FraWlpsLCwQGJiIhwcHL5Yzv79+/HDDz+goKAAcnKip4lERERgwIABKCoqgry8fJXqR/tkEEIIqSpJ7JOR4dSDk3KaXozhpBxxq9XEz4ohjtps1FFRjoaGRqUNjNevX2PXrl1wdnaucgODEEIIqWvqUwZVLtS4kcEYg7+/P7p06YLWrVvXuAKvXr3C77//jokTJwpdmzVrFjZs2IDCwkJ06tQJx44dq3EcQghpSBrkHhKkwanxcMnPP/+M48eP49y5cyJnmlZluCQvLw+urq7Q1tZGRESEUC9FTk4OXr9+jSdPnmDhwoXQ1NTEsWPHRK7rFbUxibZOq0rXAJP6gz5MCSGSIInhkqff9OSkHJOrpzkpR9xq1JMxdepURERE4OzZs9VayvKp/Px89O3bF2pqaggPDxc5DKKrqwtdXV20bNkSNjY2MDExwaVLl+Dk5CR0r6iNSXgyauDJatSofqTuoMYCIaShqPksyPqpWqtLGGOYMmUKDh06hJiYGKH07VVV0YOhoKCAiIgIKCkpVSk2AKHeigqUhZUQQgipW6rVk/Hzzz9j9+7dOHLkCNTV1fm7h2lqavLXzb5+/Rrp6en8PS0q9tEwNDSEoaEh8vPz4erqisLCQuzcuRN5eXnIy8sDAOjp6UFWVhZXrlzBlStX0KVLF2hrayM1NRXz58+HpaWlyF4MQPSe7TRUQgghpC5hZY3r91K15mRU9ks7LCwMo0ePBgBs27YNY8aMEbqnYk/12NhYuLi4iCzn8ePHMDc356eIT05ORkFBAYyMjNC3b1/89ttvaNq06stSaQkrIYSQqpLEnIw0h96clGOeFP31m+qAWu2TUddRI4MQQkhVUSODe5QgjRBCCJGQhvtnvWjUyCCEEEIkpLHNyaBGBiGEECIhjDWuRgbnWVgXLFiAVq1aQVVVFdra2ujVqxcuX74scM/mzZvRvXt3aGhogMfj4e3btyLjHT9+HB07doSysjJ0dXUxaNCg6j0dIYQQQqSmWj0ZFVlYv/nmG3z8+BFz586Fq6sr7ty5A1VVVQBAy5YtsWHDBjRv3hzv37/HmjVr4OrqiocPH0JPTw8AUFhYiL59+6Jv374ICAgQGevgwYOYMGECli5dih49eoAxhps3b9bycUl9RDt+EkIaisaWu0RsWVgr5OXlQVNTE//99x969hTcTrViOeubN2+gpaXFP//x40eYm5tj4cKFQingq4NWlxBCCKkqSawuSbHpy0k5Le9GclKOuFVruORzX8vCWlxcjM2bN0NTUxP29vZVLjchIQEZGRmQkZFBu3btYGRkBDc3N9y+fbs21SWEEEKIBNW4kfGlLKzHjh2DmpoalJSUsGbNGkRHR0NXV7fKZaempgIon9/x22+/4dixY9DW1ka3bt3w+vXrmlaZEEIIkSrGeJwc9UWNGxlTpkzBjRs3sGfPHqFrLi4uSEpKwoULF9C3b18MHToUL168qHLZZWXlg1Zz587F4MGD4ejoiLCwMPB4POzfv1/ka4qKivhblFccDXifMUIIIfUQK+NxctQXNWpkVGRhPXPmjMgsrKqqqrCyskKnTp0QGhoKOTk5hIaGVrl8IyMjAICtrS3/nKKiIpo3b4709HSRrwkKCoKmpqbAwcryq/lkhBBCCOFKtVaXMMYwdepUhIeHIzY2tspZWBljlWZPFcXR0RGKioq4f/8+unTpAgAoKSlBWloazMzMRL4mICAA/v7+Aue0dVpVOSapu2h1CWnIavrzXVP0vpCuxtbBzmkW1oKCAixZsgQeHh4wMjLCq1evEBwcjGfPnmHIkCH8crKzs5GdnY2HDx8CAG7evAl1dXWYmpqiSZMm0NDQwKRJkxAYGAgTExOYmZlhxYoVACBQzqcoCyshpD6iX/qNS30a6uBCtRoZISEhAIDu3bsLnK/IwiorK4t79+5h+/btyMnJgY6ODr755hvEx8fDzs6Of//GjRuxcOFC/tcVy18/zea6YsUKyMnJwcfHB+/fv0fHjh0RExMDbW3tmjwnqcfoQ5gQ0lCU1aNJm1ygLKyEEEIIJLNPxq3m33FSTuvUY5yUI26Uu4QQQgiRkPq0/JQL1MgghBBCJKThjh2IVqsdPwkhhBBCKkM9GYQQQoiENLaJn5yneh89ejR4PJ7A0alTJ4F7ioqKMHXqVOjq6kJVVRUeHh549uyZwD0JCQno3bs3tLS0oKOjgx9//BHv3r2r4WMSQggh0kfbin9BRar3S5cuITo6Gh8/foSrqysKCgoE7uvbty+ysrL4x4kTJwSuT58+HeHh4di7dy/OnTuHd+/e4bvvvkNpaSkAIDMzE7169YKVlRUuX76MyMhI3L59m7+8lRBCCCF1X7WGSyIjBVPLhoWFQV9fH9evXxdI9a6oqAhDQ0ORZeTm5iI0NBT//PMPevXqBQDYuXMnTExM8N9//6FPnz44duwY5OXl8ddff0FGprwd9Ndff6Fdu3Z4+PAhrKysqvWQhBBCSF1AEz+robJU77GxsdDX10fLli0xYcIEgeRo169fR0lJCVxdXfnnjI2N0bp1a1y4cAFA+XCKgoICv4EBAMrKygCAc+fO1abKhBBCiNSUMR4nR33Beap3Nzc37Nq1CzExMVi1ahWuXr2KHj168HOXZGdnQ0FBQWjnTgMDA/425T169EB2djZWrFiB4uJivHnzBnPmzAEAZGVliawPZWElhBBC6hbOU717eXnB3d0drVu3Rv/+/XHy5EmkpKTg+PHjXyyPMcbPNWJnZ4ft27dj1apVUFFRgaGhIZo3bw4DAwPIysqKfD1lYSWEEFLX0cTPKvhaqvdPGRkZwczMDA8ePAAAGBoa8nsnPvXixQsYGBjwvx4xYgSys7ORkZGBV69eYcGCBXj58mWlmV8DAgKQm5srcPBk1GvyeIQQQohY0HDJFzDGMGXKFBw6dAgxMTFVSvX+6tUrPH36FEZGRgDK07jLy8sjOjqaf09WVhZu3boFZ2dnodcbGBhATU0N+/btg5KSEnr37i0yjqKiIjQ0NAQOysJKCCGkLmEcHfUFp6ne3717hwULFmDw4MEwMjJCWloa5syZA11dXQwcOJB/77hx4/DLL79AR0cHTZo0wa+//oo2bdrwV5sAwIYNG+Ds7Aw1NTVER0djxowZWLZsGbS0tLh7ekIIIYSIDeep3m/evIkdO3bg7du3MDIygouLC/bt2wd19f8bulizZg3k5OQwdOhQvH//Hj179sS2bdsE5ltcuXIFgYGBePfuHVq1aoVNmzbBx8enFo9KCCGESFd9GurgAqV6J4QQQiCZVO/nDb/npJzO2Qc4KUfcKEEaIYQQQsSCEqQRQgghElIm7QpIGDUyCCGEEAlhaFxzMjjPwvp5BtaKY8WKFfx7vpaFNS0tDePGjYOFhQWUlZVhaWmJwMBAFBcX1/JxCSGEECIpnGdh/TT7alZWFrZu3Qoej4fBgwfz7/laFtZ79+6hrKwMmzZtwu3bt7FmzRps3LiRv7U4IYQQUh+VMW6O+qJWq0tevnwJfX19xMXFCWRh/dSAAQOQn5+P06dPAyhPqqanp4d//vkHXl5eAMpTu5uYmODEiRPo06ePyHJWrFiBkJAQpKamVrl+tLqEEEJIVUlidUmMwVBOyunx/F9OyhE3sWRhrfD8+XMcP34c48aN45+rShbWymJVFocQQgghdU+NJ35WloX1U9u3b4e6ujoGDRrEP1eVLKyfe/ToEf7880+sWrWqptUlhBBCpK6xTfyscSOjIgvruXPnKr1n69at8Pb2hpKS0lfL+zQL66cyMzPRt29fDBkyBOPHj6/09UVFRfx08l8rkxBCCJEGWsJaBRVZWM+ePVtpFtb4+Hjcv38f+/btEzj/aRbWT3szXrx4IZQgLTMzEy4uLnBycsLmzZu/WKegoCAsXLhQ4BxPRg08WY3qPBohhNQL7zPja/Q6ZeNvOa4JqY7G1pNRrYmfjDFMnToV4eHhiI2NRYsWLSq9d/To0bh16xauXbsmcL5i4ufOnTsxdGj5BJisrCw0a9ZMYOJnRkYGXFxc4OjoiJ07dwrkNRFFVE+Gtk4r6skghBBSJZKY+BllMIyTclyf7+WkHHHjNAtrhby8POzfv1/kHIqqZGHNzMxE9+7dYWpqipUrV+Lly5f81xsaGoqsm6KiIhQVFQXOUQODEEJIXULDJV/wtSysFfbu3QvGGIYPHy6ynK9lYY2KisLDhw/x8OFDoeEYSeRzq2k3JCD5rsjG0GXaGJ6RNF61+byRJGm8nxrie7+xNTIoCyshhBACyQyXnOBouKRfQxwuIYQQQkjNNbaJn9TIIIQQQiSkrHG1MaiRQQgh9VFDnK9AGh7Os7C+e/cOU6ZMQbNmzaCsrAwbGxv+hNEKjx49wsCBA6GnpwcNDQ0MHToUz58/F7jH3NxcKJPr7Nmza/iYhBDSsCgbf1ujg0hXGXicHPUF51lY/fz8EBkZiZ07d+Lu3bvw8/PD1KlTceTIEQBAQUEBXF1dwePxEBMTg/Pnz6O4uBj9+/dHWZngvNtFixYJZHT97bffOHhkQgghRDoYR0d9Ua3hksjISIGvw8LCoK+vj+vXr/OzsF68eBGjRo3iL3P98ccfsWnTJly7dg2enp44f/480tLSkJiYCA0NDX45TZo0QUxMDH+vDABQV1evdF8MQgghhNRtnGdh7dKlCyIiIpCRkQHGGM6cOYOUlBT+Tp5FRUXg8XgCG2cpKSlBRkZGKA/K8uXLoaOjAwcHByxZsgTFxcW1qS4hhBAiVWUcHfUF51lY169fjwkTJqBZs2aQk5ODjIwMtmzZgi5dugAAOnXqBFVVVcyaNQtLly4FYwyzZs1CWVkZsrKy+OVMmzYN7du3h7a2Nq5cuYKAgAA8fvwYW7ZsqcXjkvqIJrgRQhqKska2EzXnWVjXr1+PS5cuISIiAmZmZjh79iwmT54MIyMj9OrVC3p6eti/fz9++uknrF+/HjIyMhg+fDjat28vkJ/Ez8+P//9t27aFtrY2vv/+e37vxucoC2vDRY0FQkhDUZ/mU3CB0yys79+/x5w5cxAeHg53d3cA5Q2EpKQkrFy5kj/fwtXVFY8ePUJOTg7k5OSgpaUFQ0NDWFhYVBqzU6dOAICHDx+KbGRQFlZCCCGkbqnWnAzGGKZMmYJDhw4hJiZGqFFQUlKCkpISyMgIFisrKyu0cgQAdHV1oaWlhZiYGLx48QIeHh6Vxk5MTAQAGBkZibweEBCA3NxcgYMno16dxyOEEELEiuZkfMHXsrBqaGigW7dumDFjBpSVlWFmZoa4uDjs2LEDq1ev5pcTFhYGGxsb6Onp4eLFi5g2bRr8/PxgbW0NoHyFyqVLl+Di4gJNTU1cvXoVfn5+8PDwgKmpqci6URZWQgghdV1j2/GzWgnSKvul/WkW1uzsbAQEBCAqKgqvX7+GmZkZfvzxR/j5+fFfP3v2bGzbtg2vX7+Gubk5Jk2aJHA9ISEBkydPxr1791BUVAQzMzMMGzYMM2fOhIqKSpUfjhKkEUIaKpoQzT1JJEjbY+zNSTnDM3dV+zXBwcFYsWIFsrKyYGdnh7Vr1+Lbb7/+83D+/Hl069YNrVu3RlJSUrViUhZWQgghBJJpZOwy/oGTcrwzd1br/n379sHHxwfBwcHo3LkzNm3ahC1btuDOnTuVjhAA5VtVtG/fHlZWVnj+/Hm1Gxm12ieDEEIIIVUnrR0/V69ejXHjxmH8+PGwsbHB2rVrYWJiIpT243MTJ07EiBEj4OTkVIOolCCN1APULUwIITVXXFyM69evC+X/cnV1xYULFyp9XVhYGB49eoSdO3di8eLFNYpNjQxCCCFEQria+ClqbyhRCyAAICcnB6WlpTAwMBA4b2BgwF/A8bkHDx5g9uzZiI+Ph5xczZsK1RouCQkJQdu2baGhoQENDQ04OTnh5MmT/OuMMSxYsADGxsZQVlZG9+7dcfv2bYEysrOz4ePjA0NDQ6iqqqJ9+/Y4cOCAwD0pKSnw9PSErq4uNDQ00LlzZ5w5c6bGD0kIIYTUBVwtYQ0KCoKmpqbAERQU9MXYny/eqGzDytLSUowYMQILFy5Ey5Yta/G01WxkNGvWDMuWLcO1a9dw7do19OjRA56envyGxB9//IHVq1djw4YNuHr1KgwNDdG7d2/k5+fzy/Dx8cH9+/cRERGBmzdvYtCgQfDy8uLvgwEA7u7u+PjxI2JiYnD9+nU4ODjgu+++q7TFRQghhDQmovaGCggIEHmvrq4uZGVlhX6HvnjxQqh3AwDy8/Nx7do1TJkyBXJycpCTk8OiRYuQnJwMOTk5xMTEVLmetV5d0qRJE6xYsQJjx46FsbExpk+fjlmzZgEo784xMDDA8uXLMXHiRACAmpoaQkJC4OPjwy9DR0cHf/zxB8aNG4ecnBzo6enh7Nmz/KU1+fn50NDQwH///YeePXtWuW60uoQQQkhVSWJ1SVhTblaXjMmo3uqSjh07wtHREcHBwfxztra28PT0FOoBKSsrw507dwTOBQcHIyYmBgcOHICFhQVUVVWrFLfGq0tKS0uxd+9eFBQUwMnJCY8fP0Z2djZcXV359ygqKqJbt24CE0u6dOmCffv24fXr1ygrK8PevXtRVFTETw2vo6MDGxsb7NixAwUFBfj48SM2bdoEAwMDODo61rS6hBBCiNSV8bg5qsvf3x9btmzB1q1bcffuXfj5+SE9PR2TJk0CUN4zMnLkSACAjIwMWrduLXDo6+tDSUkJrVu3rnIDA6jBxM+bN2/CyckJHz58gJqaGsLDw2Fra8tvSIiaWPLkyRP+1/v27YOXlxd0dHQgJycHFRUVhIeHw9LSEkD5mFF0dDQ8PT2hrq4OGRkZGBgYIDIyElpaWtWtLiGEEFJnSGtLcC8vL7x69QqLFi1CVlYWWrdujRMnTsDMzAwAkJWVhfT0dM7jVruRYW1tjaSkJLx9+xYHDx7EqFGjEBcXx7/+tYklv/32G968eYP//vsPurq6OHz4MIYMGYL4+Hi0adMGjDFMnjwZ+vr6iI+Ph7KyMrZs2YLvvvsOV69erTR3CWVhJYQQQio3efJkTJ48WeS1bdu2ffG1CxYswIIFC6ods9ZzMnr16gVLS0vMmjULlpaWSEhIQLt27fjXPT09oaWlhe3bt+PRo0ewsrLCrVu3YGdnJ1CGlZUVNm7ciNOnT8PV1RVv3ryBhsb/ZVBt0aIFxo0bJ7TOt8KCBQtEZmGVoSyshBBCqkASczI2NeNmTsbEZ9WbkyEttd7xkzGGoqIiWFhYwNDQENHR0fxrxcXFiIuLg7OzMwCgsLCwPOgXsrRWdo+MjIzITK4VKAsrIYSQuo7xuDnqi2oNl8yZMwdubm4wMTFBfn4+9u7di9jYWERGRoLH42H69OlYunQpWrRogRYtWmDp0qVQUVHBiBEjAACtWrWClZUVJk6ciJUrV0JHRweHDx9GdHQ0jh07BgBwcnKCtrY2Ro0ahfnz50NZWRl///03Hj9+DHd390rrRllYCSGEkLqlWo2M58+fw8fHB1lZWdDU1ETbtm0RGRmJ3r17AwBmzpyJ9+/fY/LkyXjz5g06duyIqKgoqKuX9yjIy8vjxIkTmD17Nvr37493797BysoK27dvR79+/QCUr+eNjIzE3Llz0aNHD5SUlMDOzg5HjhyBvb09x49PCCGESI60Jn5KC2VhJYQQQiCZORkbTLiZkzHlaSOZk0EIIYQQIgolSCOEEEIkpMEOHVSCGhmEEEKIhHCVhbW+oOESQgghhIgFZ6neS0pKMGvWLLRp0waqqqowNjbGyJEjkZmZKVBGVVK9L1myBM7OzlBRUaGtxAneZ8bX6CCEkLqGq1Tv9QVnqd4LCwuRkJCAefPmISEhAYcOHUJKSgo8PDwEyqhKqvfi4mIMGTIEP/30EzdPSQghhNQBja2RwVmq93Hjxgldu3r1Kv73v//hyZMnMDU1BfD1VO+f2rZtG6ZPn463b9/WqG60hLVhqGmvhLLxtxzXhBDSkEliCetKU26WsP6aXj+WsNZ44mdpaSn279/PT/UuSm5uLng8nsCQR0Wqd3d3d2hpaeHff/8VSPVOyOeosUAIIfUTZ6neP/fhwwfMnj0bI0aMEEh09rVU7zVFWVgJIY0J9fDVT41tdQlnqd4/bWiUlJRg2LBhKCsrQ3BwsMDrv5bqvaaCgoJEZmHlURZWQkgDRI2F+qk+zafgAmep3jdt2gSgvIExdOhQpKamIiYmBjo6Ovx7q5Lq/VPVmZMhqidDW6cV9WQ0APQXGyHC6H3BPUnMyVhmxs2cjNlPGvicjAoVqd6B/2tgPHjwAGfOnBFoYABVS/VeU5SFteGiD0VChNH7on6iHT+/4Eup3j9+/Ijvv/8eCQkJOHbsGEpLS5GdnQ2gfAWKgoJClVK9A0B6ejpev36N9PR0lJaWIikpCQBgZWUFNTU17p6eEEKkTNJ7utSnxklD7K0pa2TNDM5SvaelpSEiIgIA4ODgIPC6M2fOoHv37lVK9Q4A8+fPx/bt2/lft2vXTqAcQghpKOryL0Rpo+9N/Uep3gkhhBBIZk7G72benJQz78kuTsoRN0qQRgghhEhIg/2rvhKUII0QQgghYkE9GYQQQoiENLZ9MqrVyAgJCUFISAjS0tIAAHZ2dpg/fz7c3NyE7p04cSI2b96MNWvWYPr06QCAtLQ0WFhYiCz733//xZAhQwTOFRUVoWPHjkhOTkZiYqLQhFLSODTEGeaNDf0bElKOdvz8goosrFZWVgCA7du3w9PTE4mJiQKbax0+fBiXL1+GsbGxwOtNTEyQlZUlcG7z5s34448/RDZUZs6cCWNjYyQnJ1enmqSBoV809R/9GxJSjpawfkH//v0Fvl6yZAlCQkJw6dIlfiMjIyMDU6ZMwalTp+Du7i5wv6ysLAwNDQXOhYeHw8vLS2j/i5MnTyIqKgoHDx7EyZMnq1NN0sDQX8GEEFI/cZqFtaysDD4+PpgxY4ZAz0Zlrl+/jqSkJPz1118C558/f44JEybg8OHDUFFRqWkVSQNBjQVCSEPRuPoxOM7Cunz5csjJycHX17dKZYWGhsLGxgbOzs78c4wxjB49GpMmTUKHDh348z8IIYSQ+o4mfn5FZVlY379/j3Xr1iEhIaFKOUPev3+P3bt3Y968eQLn//zzT+Tl5SEgIKBa9aJU74QQ0rDQUGn9x1kWVhsbG/j7+wskPystLYWMjAxMTEyEeiT++ecfjBs3DhkZGdDT0+OfHzBgAI4ePSrQOCgtLYWsrCy8vb0Fthv/1IIFC0SmepehVO+EEEKqQBI7fs4yH85JOcvT9nBSjrjVupHRs2dPmJiYYNWqVUIrR/r06QMfHx+MGTMG1tbWAte6d+8OXV1dHDhwQOB8eno68vLy+F9nZmaiT58+OHDgADp27IhmzZqJrAeleieEEFIbkmhkzOSokfFHPWlkcJaFVUdHRyi1u7y8PAwNDYUaGA8fPsTZs2dx4sQJoRimpqYCX1esOrG0tKy0gQGITvX+IetcdR6Pj7ra6hbqMiWSUpuMqDX9eaOf78rR96b+4ywLa3Vs3boVTZs2haura7VeV130g9Yw0L8jkRRp/KzRz3flGuL3prFN/KQsrIQQQggkM1zibz6Mk3JWp+3lpBxxowRphBBCCBELSpBGCCGESEiDHTqoBDUyCCGEEAlpbHMyqjVcEhISgrZt20JDQwMaGhpwcnISyity9+5deHh4QFNTE+rq6ujUqRPS09MF7rl48SJ69OgBVVVVaGlpoXv37nj//j0AIDY2FjweT+Rx9erVWj4uIYQQIj2Mo//qi2o1MiqysF67dg3Xrl1Djx494Onpidu3bwMAHj16hC5duqBVq1aIjY1FcnIy5s2bByUlJX4ZFy9eRN++feHq6oorV67g6tWrmDJlCn8TL2dnZ2RlZQkc48ePh7m5OTp06MDhoxNCCCFEnGq9uqRJkyZYsWIFxo0bh2HDhkFeXh7//PNPpfd36tQJvXv3xu+//16l8ktKStCsWTNMmTJFaAvyr6HVJYQQQqpKEqtLpph7cVLOhrR9nJQjbpxlYS0rK8Px48cxc+ZM9OnTB4mJibCwsEBAQAAGDBgAAHjx4gUuX74Mb29vODs749GjR2jVqhWWLFmCLl26iIwTERGBnJwcjB49uqZVrTZpbMhTU41hs5rG8IyEVFdtPqdqgt5P3CirR0MdXKh2T8bnWVh3796Nfv36ITs7G0ZGRlBRUcHixYvh4uKCyMhIzJkzB2fOnEG3bt1w6dIlODk5oUmTJli5ciUcHBywY8cOBAcH49atW2jRooVQvH79+gGAyN1Bv4Z6MgghhFSVJHoyJpsP5aSc4LR/OSlH3DjLwqqlpQUA8PT0hJ+fHwDAwcEBFy5cwMaNG9GtWzeUlZXPq504cSLGjBkDAGjXrh1Onz6NrVu3IigoSCDWs2fPcOrUKfz779e/mZSFlRBCSF3XuPoxarAZl4KCAqysrNChQwcEBQXB3t4e69atg66uLuTk5GBraytwv42NDX91iZGREQB88Z5PhYWFQUdHBx4eHl+tV1BQEDQ1NQUOVpZf3ccjhBBCxKYMjJOjvqj1jp+MMRQVFUFBQQHffPMN7t+/L3A9JSUFZmZmAABzc3MYGxt/8Z5Pyw0LC8PIkSMhLy//1XoEBAQgNzdX4ODJqNfy6QghhBBSU5xlYQWAGTNmwMvLC127duXPyTh69ChiY2MBADweDzNmzEBgYCDs7e3h4OCA7du34969e0Ip32NiYvD48WOMGzeuSnUTlYWVhkoIIYTUJY1tMy5Os7AOHDgQGzduRFBQEHx9fWFtbY2DBw8KrByZPn06Pnz4AD8/P7x+/Rr29vaIjo6GpaWlQKzQ0FA4OzvDxsaGg8ckhBBCpK8+baTFBcrCSgghhEAyq0vGm3/PSTlb0g58/aY6gHKXEEKIFNE+MI0LDZcQQgiRGGosNC6NbbiEGhmEkCqjv7oJqR3qyfiCkJAQhISEIC0tDQBgZ2eH+fPnw83NDQDw7t07zJ49G4cPH8arV69gbm4OX19f/PTTTwLlXLx4EXPnzsXly5chLy8PBwcHnDx5EsrKygCAN2/ewNfXFxEREQAADw8P/Pnnn/wNv+oy+hDmHn1P6w76nhJCqqNajYyKLKxWVlYAgO3bt8PT0xOJiYmws7ODn58fzpw5g507d8Lc3BxRUVGYPHkyjI2N4enpCeD/srAGBATgzz//hIKCApKTk/lZWAFgxIgRePbsGX9p7I8//ggfHx8cPXqUq+cWG/oQ5h59TwkhDUVZw11rIRKnWVhbt24NLy8vgWypjo6O6NevHz/r6teysN69exe2tra4dOkSOnbsCAD8nCf37t2DtbV1letGq0saBurJqP/o37By9L2pnKS/N5JYXfKD2SBOytn55BAn5YgbZ1lYAaBLly6IiIjA2LFjYWxsjNjYWKSkpGDdunUAqpaF9eLFi9DU1OQ3MIDyhommpiYuXLhQrUYGaRgaw4dpQ0f/hpWj703l6HtT/1W7kfF5Ftbw8HB+LpL169djwoQJaNasGeTk5CAjI4MtW7bwGxCpqakAgAULFghkYe3Zsyc/C2t2djb09fWF4urr6yM7O7s2z0oIIYRIVX3KO8IFzrKw2traYv369bh06RIiIiJgZmaGs2fPYvLkyTAyMkKvXr2qnIVV1HbgX8uoSllYGy7qTiYNGf18Ny60hPUrKrKwAkCHDh1w9epVrFu3DmvXrsWcOXMQHh4Od3d3AEDbtm2RlJSElStXolevXlXKwmpoaIjnz58LxX358iUMDAwqrVdQUBAWLlwocI4nowaerEZ1H5HUMfRhShoy+vkmDRlnWVhLSkpQUlIisEoEAGRlZfk9GFXJwurk5ITc3FxcuXKFf/3y5cvIzc2Fs7NzpfWgLKyEEELqujKOjvqCsyysGhoa6NatG2bMmAFlZWWYmZkhLi4OO3bswOrVqwFULQurjY0N+vbtiwkTJmDTpk0Aypewfvfdd1+c9ElZWAkhhNR1NCfjC76WhXXv3r0ICAiAt7c3Xr9+DTMzMyxZsgSTJk3il1GVLKy7du2Cr68vXF1dAZRvxrVhwwYunpfUQzRmTQgh9RNlYSV1HjUyCCGSIIl9Mr438+CknANPIjgpR9wodwkhhBAiIfVpPgUXqJFB6jzqkSBEGPXw1U/SHDwIDg7GihUrkJWVBTs7O6xduxbffiv65+HQoUMICQlBUlISioqKYGdnhwULFqBPnz7VikmNDBFq+uYFJP8GbgwfNI3hGQmRFHo/NU779u3D9OnTERwcjM6dO2PTpk1wc3PDnTt3YGpqKnT/2bNn0bt3byxduhRaWloICwtD//79cfnyZbRr167KcWlOBqnz6EOREGH0vuCeJOZkeJp+x0k5R9KPVev+jh07on379ggJCeGfs7GxwYABA/gbYX6NnZ0dvLy8MH/+/CrHrVVPRlBQEObMmYNp06Zh7dq1AMq7ghYuXIjNmzfjzZs36NixI/766y/Y2dnxX9e9e3fExcUJlOXl5YW9e/fyv/bw8EBSUhJevHgBbW1t9OrVC8uXL4exsXFtqkwIIXUKNRYaF67mZIja5VrUVg4AUFxcjOvXr2P27NkC511dXXHhwoUqxSsrK0N+fj6aNGlSrXrWuJFx9epVbN68GW3bthU4/8cff2D16tXYtm0bWrZsicWLF6N37964f/8+1NX/b3OsCRMmYNGiRfyvlZWVBcpxcXHBnDlzYGRkhIyMDPz666/4/vvvq/wNIQ0HfZiShox+vklNiNrlOjAwEAsWLBC6NycnB6WlpUK7ZhsYGFQ5J9iqVatQUFCAoUOHVqueNWpkvHv3Dt7e3vj777+xePFi/nnGGNauXYu5c+di0KDydLbbt2+HgYEBdu/ejYkTJ/LvVVFRgaGhYaUx/Pz8+P9vZmaG2bNnY8CAASgpKYG8vHxNqk0IIYRIFVe5SwICAuDv7y9wTlQvxqc+36Cyqvm99uzZgwULFuDIkSMiE5h+SY22Ff/555/h7u6OXr16CZx//PgxsrOz+ZtoAeUP3a1bN6EeiF27dkFXVxd2dnb49ddfkZ+fX2m8169fY9euXXB2dqYGBiGEkHqrDIyTQ1FRERoaGgJHZY0MXV1dyMrKCvVavHjx4os5wYDyCaPjxo3Dv//+K/Q7vyqq3cjYu3cvEhISRE4UqXiAr3XJeHt7Y8+ePYiNjcW8efNw8OBBfs/Hp2bNmgVVVVXo6OggPT0dR44cqW51CSGEkEZNQUEBjo6OiI6OFjgfHR39xZxge/bswejRo7F7925+4tPqqtZwydOnTzFt2jRERUVBSUmp0vu+1iUzYcIE/v+3bt0aLVq0QIcOHZCQkID27dvzr82YMQPjxo3DkydPsHDhQowcORLHjh0T2b1Dqd4JIYTUddJa0Onv7w8fHx906NABTk5O2Lx5M9LT0/lpPwICApCRkYEdO3YAKG9gjBw5EuvWrUOnTp34HQXKysrQ1NSsctxq9WRcv34dL168gKOjI+Tk5CAnJ4e4uDisX78ecnJy/B6M6nbJtG/fHvLy8njw4IHAeV1dXbRs2RK9e/fG3r17ceLECVy6dElkGUFBQdDU1BQ4WFnlQzCEEEKIpEkrC6uXlxfWrl2LRYsWwcHBAWfPnsWJEyf4GdCzsrKQnp7Ov3/Tpk34+PEjfv75ZxgZGfGPadOmVStutfbJyM/Px5MnTwTOjRkzBq1atcKsWbNgZ2cHY2Nj+Pn5YebMmQDKl87o6+tj+fLlAhM/P3Xr1i20adMGcXFx6Nq1q8h7nj59ClNTU5w5cwbdu3cXui6qJ0NbpxX1ZBBCqqw+bcTXGEh6ea8k9snoY+LGSTmnnp7kpBxxq9Zwibq6Olq3bi1wrmLORMX56dOnY+nSpWjRogVatGiBpUuXQkVFBSNGjAAAPHr0CLt27UK/fv2gq6uLO3fu4JdffkG7du3QuXNnAMCVK1dw5coVdOnSBdra2khNTcX8+fNhaWkJJycnkXWjVO+EkNqihkLd0hD/PbhaXVJfcL6t+MyZM/H+/XtMnjyZvxlXVFQUf48MBQUFnD59GuvWrcO7d+9gYmICd3d3BAYGQlZWFkD5mM+hQ4cQGBiIgoICGBkZoW/fvti7d+9Xl+iQhoc2KyINGf18Ny5ljayRQduKE0IIIZDMcEnPZq5fv6kKTj+L4qQccaMEaaTOo7/0CBFG7wtSH1AjgxBC6iFqLNRPjW24hBoZpM6jD1NCSEPR2CZ+1mhb8QpBQUHg8XiYPn06AKCkpASzZs1CmzZtoKqqCmNjY4wcORKZmZkiX88Yg5ubG3g8Hg4fPix0/fjx4+jYsSOUlZWhq6srcldQQgghhNRNnGZhLSwsREJCAubNmwd7e3u8efMG06dPh4eHB65duyZUxtq1aytdZnrw4EFMmDABS5cuRY8ePcAYw82bN2taXUIIIUTqyhruWguROM3CqqmpKbQ3+p9//on//e9/SE9Ph6mpKf98cnIyVq9ejatXr8LIyEjgNR8/fsS0adOwYsUKjBs3jn/e2tq6JtUl9RxNcCNEWGN4XzTEZ2xcTYwaNjI+zcL6aSNDlNzcXPB4PGhpafHPFRYWYvjw4diwYYPIdO8JCQnIyMiAjIwM2rVrh+zsbDg4OGDlypWws7OrSZVJPVaXPzAIkZbG8L5oDM/Y0FW7kVGRhfXq1atfvffDhw+YPXs2RowYAQ0NDf55Pz8/ODs7w9PTU+TrUlNTAQALFizA6tWrYW5ujlWrVqFbt25ISUlBkyZNqlttUo81xL9mCCGNE60u+YKqZmEFyieBDhs2DGVlZQgODuafj4iIQExMDBITEyt9bVlZefqXuXPnYvDgwQCAsLAwNGvWDPv37xeZA4WysDZc1FgghDQUja2RwWkW1tLSUgDlDYyhQ4fi8ePHiI6OFujFiImJwaNHj6ClpcUvAwAGDx7MT3xWMUfD1taW/zpFRUU0b95cIEvcpygLKyGEEFK3cJqFtXXr1vwGxoMHD3DmzBno6ekJ3J+dnY2cnByBc23atMG6devQv39/WFhYIC8vD/r6+vjrr7/4Ez9LSkrQrFkz/P777/jxxx+F6kZZWAkhhNSGJLYV72TcnZNyLmXGclKOuHGahfXjx4/4/vvvkZCQgGPHjqG0tBTZ2dkAgCZNmkBBQQGGhoYiJ3uamprCwsICAKChoYFJkyYhMDAQJiYmMDMzw4oVKwAAQ4YMEVk3ysLacNGcDEKE0fuifmpswyWc7vj57NkzREREAAAcHBwErp05c4Y/HFIVK1asgJycHHx8fPD+/Xt07NgRMTEx0NbWrnIZ9CYkhDRU9DlVPzW2HT8pCyshhBACyQyXfGPclZNyrmae5aQccaPcJaTOox4pQkhD0YD/rheJGhmEEEKIhNCcDELqGOqRIISQ+onTLKyfmzhxIng8HtauXSt03tLSEsrKytDT04Onpyfu3bsncE9CQgJ69+4NLS0t6Ojo4Mcff8S7d+9qU11CCCFEqhhjnBz1RY0bGaKysH7q8OHDuHz5MoyNjYWuOTo6IiwsDHfv3sWpU6fAGIOrqyt/M6/MzEz06tULVlZWuHz5MiIjI3H79m2MHj26ptUlhBBCpK4MjJOjvuA0C2uFjIwMTJkyBadOnYK7u7vQ9U830zI3N8fixYthb2+PtLQ0WFpa4tixY5CXl8dff/0FGZnydtBff/2Fdu3a4eHDh7CysqpJtUk9RRM/CSGkfuI8C2tZWRl8fHwwY8aMKmVMLSgoQFhYGCwsLGBiYgKgfPdOBQUFfgMDAJSVlQEA586do0YGIaTBoEZ05Rri96ax7ZPBeRbW5cuXQ05ODr6+vl8sJzg4GDNnzkRBQQFatWqF6OhoKCgoAAB69OgBf39/rFixAtOmTUNBQQHmzJkDAMjKyqpulQkhHKnph35N1eVfFlxpDM9YUw3xe1NWj+ZTcIHTLKzXr1/HunXrkJCQ8NUtvb29vdG7d29kZWVh5cqVGDp0KM6fPw8lJSXY2dlh+/bt8Pf3R0BAAGRlZeHr6wsDAwPIysqKLI/LLKy1+SCV9JuiIbb0Sd1FPzfck/R7mD4ziCRVa8fPw4cPY+DAgQK/6EtLS8Hj8SAjI4Ply5djxowZAsMcpaWlkJGRgYmJCdLS0kSWW1xcDG1tbWzZsgXDhw8XuPb8+XOoqqqCx+NBQ0MDe/fuFZm/ZMGCBVi4cKHgw8moQUZWQ+heUr/QhyIhRBIkseOnnUFHTsq5/fwyJ+WIW7V6Mnr27ImbN28KnPs0C6uRkRH69OkjcL1Pnz7w8fHBmDFjvlg2Y0yoJwIADAwMAABbt26FkpISevfuLfL1AQEB8Pf3FzinrdPqq89E6j5qLBBCGgoaLvmCr2VhBQAdHR2B6/Ly8jA0NIS1tTUAIDU1Ffv27YOrqyv09PSQkZGB5cuXQ1lZGf369eO/bsOGDXB2doaamhqio6MxY8YMLFu2DFpaWiLrRllYGy7qySBEGL0v6iea+ClmSkpKiI+Px9q1a/HmzRsYGBiga9euuHDhAvT19fn3XblyBYGBgXj37h1atWqFTZs2wcfHR9LVJYSQOokaC6Q+oCyshBBCCCQzJ6OlXgdOykl5eY2TcsSNcpc0UtTV2rjRv3/9R/+G9RMNl5BGgT5oGjf696//6N+Q1AfUyCCEEEIkhFaXEEIIIXVAQxwSamzDJWJJ9X737l14eHhAU1MT6urq6NSpE9LT0/nXv5bqPS0tDePGjYOFhQWUlZVhaWmJwMBAFBcX16a6hBDSYLzPjK/RQYgk1bgno7JU748ePUKXLl0wbtw4LFy4EJqamrh7967ANuSOjo7w9vaGqakpXr9+jQULFsDV1RWPHz+GrKws7t27h7KyMmzatAlWVla4desWJkyYgIKCAqxcubLmT0vqpYb41wwhtdUYfr4b4jMyVibtKkhUjZawvnv3Du3bt0dwcDAWL14MBwcHrF27FgAwbNgwyMvL459//qlyeTdu3IC9vT0ePnwIS0tLkfesWLECISEhSE1NrXK5tIS1YaBGBiHC6H3BPUksYTXTafv1m6rgyasbnJQjbpymei8rK8Px48cxc+ZM9OnTB4mJibCwsEBAQAAGDBggsixRqd5Fyc3NRZMmTWpSXVLP0YciIcLofUHqg2rPyahI9R4UFCR07cWLF3j37h2WLVuGvn37IioqCgMHDsSgQYMQFxcncG9wcDDU1NSgpqaGyMhIgVTvn3v06BH+/PNPTJo0qdJ6FRUVIS8vT+BowPuMEUIIqYcYY5wc9QWnqd7LysrHmjw9PeHn5wcAcHBwwIULF7Bx40Z069aNf++XUr1/KjMzE3379sWQIUMwfvz4SusWFBQkMgsrj7Kw1nvULUwaMklPxqxP74uG+N4va2SrSzhN9V5QUAA1NTUEBgbit99+498za9YsnDt3DufPnxdZbmWp3jMzM+Hi4oKOHTti27ZtAinkP1dUVCSUxVVbpxUlSWsAGuIHDSGk7pHEnIym2naclJPx5jYn5Ygbp6neFRUV8c033+D+/fsC96SkpMDMzOyLZX+e6j0jIwMuLi5wdHREWFjYFxsYAGVhbciosUCIMGp8k/qA81TvM2bMgJeXF7p27QoXFxdERkbi6NGjiI2NBVC1VO+ZmZno3r07TE1NsXLlSrx8+ZIfz9DQsDbPK3b0xidEmKTfF/Q+bBga4r8j7fhZSwMHDsTGjRsRFBQEX19fWFtb4+DBg+jSpQuAqqV6j4qKwsOHD/Hw4UM0a9ZMoPy6PuGlLv9w11cN8YOGiBf925O6qrHt+Emp3gkhhBBIZk6GoZYNJ+Vkv73LSTniRrlLCCGEEAlpwH/Xi0SNDI5R1z736Hta/9GcjMrREtbK1ad/x6pqbEtYqZHBsbr8w02ItEj6fVGf3of1qa6EVFetGhlBQUGYM2cOpk2bxs9d8u7dO8yePRuHDx/Gq1evYG5uDl9fX/z0008AgNevXyMwMBBRUVF4+vQpdHV1MWDAAPz+++/Q1NTkl21ubo4nT54IxJs1axaWLVtWmyqTeog+hAlpnBrie5+GS6qosiysfn5+OHPmDHbu3Alzc3NERUVh8uTJMDY2hqenJzIzM5GZmYmVK1fC1tYWT548waRJk5CZmYkDBw4IlLVo0SJMmDCB/7WamlpNq0vqsYbYZUoIaZwa2xLWaucuAcp7K7y9vfH3339DW1tb4NrFixcxatQodO/eHebm5vjxxx9hb2+Pa9euAQBat26NgwcPon///rC0tESPHj2wZMkSHD16FB8/fhQoS11dHYaGhvyDGhmEEEJI/cFpFlYA6NKlCyIiIjB27FgYGxsjNjYWKSkpWLduXaXl5ebmQkNDA3JygtVZvnw5fv/9d5iYmGDIkCGYMWNGpUnUSPXUp94B6pHgHk3ErP8aw/e0IT4jDZd8RUUW1qtXr4q8vn79ekyYMAHNmjWDnJwcZGRksGXLFv5mXJ979eoVfv/9d0ycOFHg/LRp09C+fXtoa2vjypUrCAgIwOPHj7Fly5bqVpmIUJffhJ9riB800kYTMeu/xvA9bYjPSKtLvuBrWViB8kbGpUuXEBERATMzM5w9exaTJ0+GkZERevXqJXBvXl4e3N3dYWtri8DAQIFrFVlcAaBt27bQ1tbG999/j+XLl0NHR0corqgEaYwxyl/SADTEDxpCSOPU2HoyOM3CmpubC21tbYSHh8Pd3Z1/z/jx4/Hs2TNERkbyz+Xn56NPnz5QUVHBsWPHKm20VMjIyECzZs1w6dIldOzYUej6ggULRKZ6l6FU7/Ue9WQQ0jhJ+r0viR0/NVSbc1JOXkEqJ+WIG6dZWEtLS1FSUiKUMVVWVhZlZWX8r/Py8tCnTx8oKioiIiLiqw0MAEhMTAQAGBkZibweEBAAf39/gXPaOq2q9FykbqPGAiGNU0N87ze21SWcZ2Ht1q0bZsyYAWVlZZiZmSEuLg47duzA6tWrAZT3YLi6uqKwsBA7d+5EXl4e8vLyAAB6enqQlZXFxYsXcenSJbi4uEBTUxNXr16Fn58fPDw8YGpqKrJulOqdEEJIXdfYEqRxvuPn3r17ERAQAG9vb7x+/RpmZmZYsmQJJk2aBAC4fv06Ll++DACwsrISeO3jx49hbm4ORUVF7Nu3DwsXLkRRURHMzMwwYcIEzJw5k+vqknqAhkvqP/o3rBx9bypH35v6j7KwEkIIIZDMnAxlZTNOynn//snXb6oDKHcJIYSQOqkh9mQ04L/rRaJGBqnzGuIHTWND/4akJujfv/6jRgYhhEgRNcAq1xC/NzTxkzQKNX3zNgYN8YPtc5J+xvr0vSGi1eYzg35u/o80h0uCg4OxYsUKZGVlwc7ODmvXrsW331b+PY6Li4O/vz9u374NY2NjzJw5k7+Io6po4ichhNRD1BiuXF3ejEtBsRkn5RQXPavW/fv27YOPjw+Cg4PRuXNnbNq0CVu2bMGdO3dEbg3x+PFjtG7dGhMmTMDEiRNx/vx5TJ48GXv27MHgwYOrHJcaGaTOawwfpqTxop/vukMSjQx5jn4vlVSzrh07dkT79u0REhLCP2djY4MBAwYgKChI6P5Zs2YhIiICd+/e5Z+bNGkSkpOTcfHixSrHpeESjtEHBiFEEhrDZ01DfEau/qoXla9L1KaUAFBcXIzr169j9uzZAuddXV1x4cIFkeVfvHgRrq6uAuf69OmD0NBQlJSUQF5evmoVZY3Qhw8fWGBgIPvw4UODjdnQ40kjZkOPJ42YDT2eNGI29HjSilnXBAYGMpS3WfhHYGCgyHszMjIYAHb+/HmB80uWLGEtW7YU+ZoWLVqwJUuWCJw7f/48A8AyMzOrXM9G2cjIzc1lAFhubm6DjdnQ40kjZkOPJ42YDT2eNGI29HjSilnXfPjwgeXm5goclTW6KhoZFy5cEDi/ePFiZm1tLfI1LVq0YEuXLhU4d+7cOQaAZWVlVbmeNFxCCCGE1DOVDY2IoqurC1lZWWRnZwucf/HiBQwMDES+xtDQUOT9cnJy0NHRqXI9Zb5+CyGEEELqKwUFBTg6OiI6OlrgfHR0NJydnUW+xsnJSej+qKgodOjQoerzMUCNDEIIIaTB8/f3x5YtW7B161bcvXsXfn5+SE9P5+97ERAQgJEjR/LvnzRpEp48eQJ/f3/cvXsXW7duRWhoKH799ddqxW2UwyWKiooIDAyscldTfYzZ0ONJI2ZDjyeNmA09njRiNvR40opZ33l5eeHVq1dYtGgRsrKy0Lp1a5w4cQJmZuUJ27KyspCens6/38LCAidOnICfnx/++usvGBsbY/369dXaIwNo4PtkEEIIIUR6aLiEEEIIIWJBjQxCCCGEiAU1MgghhBAiFtTIIIQQQohYUCODEEIIIWLRKBoZpaWliIuLw5s3b6RWh7y8PBw+fFggo524lZaWIikpSarPzaX379+jsLCQ//WTJ0+wdu1aREVFSbFWhAhasGABnjx5Iu1qEFInNIpGhqysLPr06YO3b99KLObQoUOxYcMGAOW/HDt06IChQ4eibdu2OHjwoFhiTp8+HaGhoQDKGxjdunVD+/btYWJigtjYWLHEfPv2LbZs2YKAgAC8fv0aAJCQkICMDO5TJnt6emLHjh38uB07dsSqVavg6ekpkL6Ya5J8RlEk0ViU9jM2JEePHoWlpSV69uyJ3bt348OHD9KuEue2b9+O48eP87+eOXMmtLS04OzsLNYG1tu3b7Fq1SqMHz8eEyZMwOrVq5Gbmyu2eIQDVc5yUs916NCB/ffffxKLZ2BgwJKSkhhjjO3atYtZWVmxgoICFhwczBwcHMQSs2nTpuzq1auMMcbCw8OZsbExu3//Pps7dy5zdnbmPF5ycjLT09NjVlZWTE5Ojj169Igxxthvv/3GfHx8OI+no6PDbt26xRhj7O+//2Zt27ZlpaWl7N9//2WtWrXiPB5jkn9GxhibNm0a27JlC2OMsY8fP7LOnTszHo/HVFVV2ZkzZziPJ+lnPHnyJIuPj+d/vWHDBmZvb8+GDx/OXr9+zXk8acRMTk5m06dPZ/r6+kxLS4tNmjSJXblyhfM4FWRkZNjz58+Fzufk5DAZGRnO47Vs2ZKdPn2aMcbYhQsXmLKyMtu0aRPr378/GzhwIOfxGGPs6tWrrEmTJqxp06Zs4MCBbMCAAaxZs2ZMR0eHXb9+XSwxSe01mkbGqVOnmIODAzt69CjLzMwUyl7HNSUlJZaens4YY8zHx4fNmjWLMcbYkydPmKqqKufxGGNMUVGRPX36lDHG2IQJE9i0adMYY4ylpqYydXV1zuP17NmTzZgxgzHGmJqaGv+X0/nz55mZmRnn8ZSVldmTJ08YY4wNGTKELViwgDHGWHp6OlNWVuY8HmOSf0bGJN9YlPQztm7dmh0/fpwxxtiNGzeYoqIiCwgIYB07dmSjR4/mPJ60YjLGWElJCTt06BDr378/k5eXZ61bt2Zr165lb9++5TQOj8cT2cjIyMhgSkpKnMZiTPC9OHPmTH5j9NatW0xXV5fzeIwx1qVLFzZ69GhWUlLCP1dSUsJGjRrFvv32W7HEJLXXaBoZPB6Pf8jIyPCPiq+51qJFC7Zv3z727t07pqenx2/1JyUlMR0dHc7jMcaYqakpO3XqFPv48SMzMTFhR48eZYyVv/G1tLQ4j6ehocEePnzIGBP85ZSWlsYUFRU5j9emTRu2bt06lp6ezjQ0NPhpi69du8YMDAw4j8eY5J+RMck3FiX9jKqqquzx48eMMcYCAwPZ4MGDGWOMXb9+XWz/jtKIyRhjRUVFbO/evczV1ZXJycmxrl27Mmtra6aurs727t1b6/LXrVvH1q1bx2RkZNiSJUv4X69bt46tXr2aDRgwQCw9p3p6eiwhIYExxpiDgwPbvn07Y4yxhw8fiu2PKCUlJXb37l2h87dv3xbbHxmk9hpN7pIzZ85INN706dPh7e0NNTU1mJmZoXv37gCAs2fPok2bNmKJOWbMGAwdOhRGRkbg8Xjo3bs3AODy5cto1aoV5/GUlJSQl5cndP7+/fvQ09PjPN78+fMxYsQI+Pn5oWfPnnBycgJQnhmwXbt2nMcDJP+MAGBgYIA7d+7AyMgIkZGRCA4OBgAUFhZCVlaW83iSfkYFBQX+BN7//vuPn5SpSZMmIutRH2Nev34dYWFh2LNnDxQVFTFy5Ej89ddfsLKyAgCsWrUKvr6+8PLyqlWcNWvWAAAYY9i4caPAz4eCggLMzc2xcePGWsUQpXfv3hg/fjzatWuHlJQUuLu7AwBu374Nc3NzzuMBgIaGBtLT04U+y54+fQp1dXWxxCQckHYrpyG7evUqO3ToEMvPz+efO3bsGDt37pzYYu7fv5+tXr2a/5cwY4xt27aNHT58mPNYEyZMYAMGDGDFxcVMTU2NpaamsidPnrB27drx//rmWlZWFktISGClpaX8c5cvXxb5Fw4XpPGMgYGBTFNTk7Vq1YqZmpqyDx8+MMYYCw0NZZ06deI8nqSfsX///qxPnz5s0aJFTF5enj179owxVj6k2aJFC87jSTpmmzZtmJycHOvXrx8LDw9nHz9+FLrnxYsXjMfjcRaze/fuYpvPIsqbN2/Yzz//zDw8PNjJkyf55+fPn88WL14slphTp05lzZo1Y3v37mXp6ens6dOnbM+ePaxZs2Ziey+S2mtUjYw3b96wlStXsnHjxrHx48ez1atXcz42WiElJUUs5VbV+/fvxR4jNzeXde7cmWlpaTFZWVlmYmLC5OXlWdeuXdm7d+8kEj88PJzduXNHrDGk8YwHDhyQWGNR0s/45MkT5u7uztq2bcuf4MoYY9OnT2dTp07lPJ6kYy5atIjfiJG0oqIidu/ePYF5Cw1FUVER8/X1ZQoKCvzhbkVFRTZ9+nR+Q5zUPY0mC+u1a9fQp08fKCsr43//+x8YY7h27Rrev3+PqKgotG/fntN4MjIyMDIyQrdu3dCtWzd0794d1tbWnMb4XGlpKZYuXYqNGzfi+fPnSElJQfPmzTFv3jyYm5tj3LhxYokbExODhIQElJWVoX379ujVq5dY4gwdOhRdu3bFlClT8P79e9jb2yMtLQ2MMezdu7faKYirQ1LPWFJSAldXV2zatAktW7YUS4zKSOoZG7KSkhJYW1vj2LFjsLW1lVjc9+/fY8qUKdi+fTsA8N/7vr6+MDY2xuzZszmPGR8fj02bNiE1NRX79+9H06ZN8c8//8DCwgJdunThPF6FwsJCPHr0CIwxWFlZQUVFRWyxCAek2sSRIEnPTM7Ozma7d+9mEydOZNbW1ozH4zFDQ0Pm5eXFQkJCOI/HGGMLFy5kzZs3Zzt37mTKysr8CXz79u0TSze7pEljWbA06OrqSr0njGufr+b60iEOI0aMYJs3b5bI99XY2FisvWui+Pr6MkdHRxYfH89UVVX57/0jR46I5b1x4MABpqyszMaPH88UFRX58f766y/m5ubGeTxSfzWangxlZWUkJiYKTRq6c+cOOnToILCTpDg8fPgQixcvxq5du1BWVobS0lLOY1hZWWHTpk3o2bMn1NXVkZycjObNm+PevXtwcnISy2ZOV65cQWxsLF68eIGysjKBa6tXr+Y0lrKyMlJSUmBiYoKRI0fC2NgYy5YtQ3p6OmxtbfHu3TtO41WQ5DMCwC+//AJ5eXksW7aM87IrI+5nlJGRAY/Hq9K94nhvTJw4EXFxcUhJSYGhoaFADyPXk6KXLVuGe/fuYcuWLZCTk8zcejMzM+zbtw+dOnUSeO8/fPgQ7du353xya7t27eDn54eRI0cKxEtKSkLfvn2RnZ3NSZxBgwZh27Zt0NDQwKBBg75476FDhziJSbjVaFaXSHpm8rt373Du3DnExsYiLi4OSUlJsLGxwdSpU9GtWzfO4wFARkYGf/b6p8rKylBSUsJ5vKVLl+K3336DtbU1DAwMBH6JVPUXSnWYmJjg4sWLaNKkCSIjI7F3714AwJs3b6CkpMR5PEDyzwgAxcXF2LJlC6Kjo9GhQweoqqoKXOe6YSOJZ/x0dVdaWhpmz56N0aNH81cIXbx4Edu3b0dQUBAn8T63adMmAEB2djZiY2MRGxuLdevW4eeff4a+vj6ysrI4i3X58mWcPn0aUVFRaNOmjdC/nzh+Gb58+RL6+vpC5wsKCsTyc3r//n107dpV6LyGhganOytramry66+hoSG29xwRn0bTyPDy8sK4ceOwcuVKODs7g8fj4dy5c5gxYwaGDx/OeTxtbW00adIEPj4++O2339ClSxdoampyHudTdnZ2iI+Ph5mZmcD5/fv3i2WJ57p167B161aMHj2a87JFkcayYEk/IwDcunWLP0coJSVF4Jo4PmQl8YyfNqwXLVqE1atXC7zvPDw80KZNG2zevBmjRo0SWz3U1dWhra0NbW1taGlpQU5ODoaGhpzG0NLSEuv8IFG++eYbHD9+HFOnTgXwfz8nf//9N78hxyUjIyM8fPhQaLnquXPn0Lx5c87ihIWF8f9/27ZtnJVLJEja4zWSIumZyZ6enkxHR4fp6+uzoUOHsuDgYLGP00ZERDBNTU22bNkypqKiwlasWMHGjx/PFBQUWFRUFOfxDA0NJT53QNLLgqXxjJIm6WdUVlYWGe/+/fti21Rp5syZrGPHjkxJSYl16NCB+fv7syNHjrA3b96IJZ6knT9/nqmrq7NJkyYxJSUlNm3aNNarVy+mqqrKrl27xnm85cuXM1tbW3bp0iWmrq7O4uPj2c6dO5menh77888/OY/HGGMuLi4i/71yc3OZi4uLWGKS2ms0jYwKBQUF7MaNGyw5OZkVFBSIPV5ycjJbv349Gzx4MNPX12cGBgbMy8tLbPEiIyNZ165dmaqqKlNWVmadO3dmp06dEkus5cuXS219ellZGSsrKxN7HGk+44MHD1hkZCQrLCxkjDGxPa+kn7Fly5bM399f6Ly/vz9r2bKlWGLyeDymr6/PgoKCxN7Yl9Yvwxs3brCRI0cyOzs7ZmNjw7y9vdmNGzfEFm/OnDlMWVmZv5OykpIS++2338QWr7Kt058/f87k5OTEFpfUTqOZ+ClNiYmJOHPmDM6cOYPIyEjweDwUFxdzHufp06cwMTERee3SpUvo1KkTp/HKysrg7u6OlJQU2NraQl5eXuC6OMaed+zYgRUrVuDBgwcAgJYtW2LGjBnw8fHhPBYgnWd89eoVhg4dijNnzoDH4+HBgwdo3rw5xo0bBy0tLaxatYrTeJJ+xhMnTmDw4MGwtLTk/0xeunQJjx49wsGDB9GvXz9O4wFAcnIy4uLiEBsbi/j4eMjKyvInfnbv3h02NjacxZKRkUF2drbQHIkXL16gadOmYpkfJWnFxcX8XVTv3LmDsrIy2NraQk1NDTk5OdDV1eUs1o0bNwAADg4OiImJQZMmTfjXSktLERkZiU2bNiEtLY2zmIQ7DXpOxtdmI3+K6w/SNWvW8D/Q8vPz4eDggG7dumHixIkiJ0xxoXfv3jh//jx0dHQEzp8/fx7u7u6cp7qfOnUqzpw5AxcXF+jo6Ih9Utbq1asxb948TJkyBZ07dwZjDOfPn8ekSZOQk5MDPz8/zmNK+hkBwM/PD/Ly8khPTxf45efl5QU/Pz/OGxmSfsZ+/frhwYMHCAkJwd27d8EYg6enJyZNmlRpI7m27O3tYW9vD19fXwDljY61a9fC19eXs9VeFb8MgfJVa5+usKj4Zdi0adNaxxGlstUjPB4PioqKUFBQ4DTe0KFDcejQIaioqKBDhw7888+fP0fPnj1x69YtzmI5ODiAx+OBx+OhR48eQteVlZXx559/chaPcKtB92SMGTOmyvd+OsGICx06dOD/ldS1a1doaGhwWr4oEyZMQEJCAmJjY/krZs6ePYv+/ftjwYIFnP8SVldXx969e/l5C8TNwsICCxcu5OedqLB9+3YsWLAAjx8/5jympJ8RAAwNDXHq1CnY29sLLA98/Pgx2rRpw/lSXUk+ozQ3G0tMTOSvLImPj0deXh4cHBzg4uKCFStW1Lr8T5fpivpYrfhlOHbs2FrH+lJsUZo1a4bRo0cjMDAQMjIytY7XsWNH2NraCnxuZmVloUePHrCzs8OBAwdqHaPCkydPwBhD8+bNceXKFYF8OgoKCtDX1xdLTh/CjQbdk8F1w6E6rl27JvGYmzdvxpAhQ+Du7o6oqChcvHgRHh4eWLx4MaZNm8Z5vCZNmsDS0pLzciuTlZUFZ2dnofPOzs6cLkH8lKSfEShfdihqF8OcnBwoKipyHk+SzygvL49bt25JfCmitrY23r17B3t7e3Tv3h0TJkzgvPH/+PFjqf0y3LZtG+bOnYvRo0fzdzS+evUqtm/fjt9++w0vX77EypUroaioiDlz5tQ63okTJ9C1a1f4+flhzZo1yMjIQI8ePWBvb89fWs6VitVyn+/fQuoJaU0GkZYXL16w+Ph4du7cOfbixQuxxjp79izz9vZmnTp14ucy2LFjB4uPjxdbzOLiYta7d2/m7OzM1NTUxDbTmzHGtm7dyoYOHSqRCbSMMWZnZ8eWLFkidP73339nrVu3FktMST8jY4z169ePP4GuImFZaWkpGzJkCD9FOZck/Yz+/v5s1qxZEolV4ejRo2LbTbQu6NGjB9u3b5/Q+X379rEePXowxso/e6ytrTmL+fTpU2ZmZsamT5/OWrRowby8vEQmg+Pa7du32cmTJ9mRI0cEDlI3Nejhkk8VFBRg6tSp2LFjB79FLCsri5EjR+LPP//kfP/7gwcPwsfHB97e3vjnn39w584dNG/eHMHBwTh27BhOnDjBSZxPx4Er5OfnY/jw4XB3d8dPP/3EP9+2bVtOYlZo164dP4eAubm50ITBhIQETuMdPHgQXl5e6NWrFzp37szf6+T06dP4999/MXDgQE7jAZJ/RqB8PL979+5wdHRETEwMPDw8cPv2bbx+/Rrnz5/nvNdB0s9Y8T60srKSyGZjn3r48CEePXqErl27QllZGYwxsfSqpKSkVLqD6vz58zmPp6KiguTkZLRo0ULg/IMHD2Bvb4/CwkI8fvwYdnZ2nO5u/ODBA3Tp0gW9e/fGP//8I9YeqtTUVAwcOBA3b94Ej8fjD0lVxBTHTrGk9hr0cMmn/P39ERcXh6NHj6Jz584AyjeO8fX1xS+//IKQkBBO4y1evBgbN27EyJEjBboPnZ2dsWjRIs7iVEyK+rStWPH1pk2bsHnzZv4HKddvwgEDBnBa3tcMHjwYV65cwerVq3H48GEwxmBra4srV66IZbMxQPLPCAC2tra4ceMGQkJCICsri4KCAgwaNAg///wzjIyMOI8n6WeU9GZjQOUrdsaPH8/5ip2///4bP/30E3R1dWFoaCi0g6o4GhnNmjVDaGio0Fb0oaGh/Mm0r169gra2do1jaGtri/z3KSwsxNGjRwUmnL9+/brGcSozbdo0WFhY4L///uMPSb169Qq//PILVq5cyXk8wo1G05Ohq6uLAwcO8HeJrHDmzBkMHToUL1++5DSeiooK7ty5A3Nzc4HJe6mpqbC1tcWHDx84ifPkyZMq3/v5TqD1SUlJCX788UfMmzeP0x0FSeMwcuRIvHjxAlu2bIGNjQ3//RgVFQU/Pz/cvn2bs1hmZmaYPHkyZs2axVmZXxMREYEhQ4agVatW+Oabb8Dj8XD16lXcu3cPBw4cwHfffYeQkBA8ePCgxj1FFRleq0Icu7bq6uoiJiYGbdu2haamJq5cuQJra2vExMTgl19+QWJiIucxSe01mp6MwsJCGBgYCJ3X19cXS3I0SW27W58bDtUhLy+P8PBwzJs3T9pVEbvIyEioqanx02X/9ddf+Pvvv2Fra4u//vqrVn+N1jXPnj0Dj8cT29LOClFRUTh16hSaNWsmcL5FixbVaqhXxZs3bzBkyBBOy/waDw8P3L9/Hxs3bkRKSgoYY3Bzc8Phw4f5n0GfDp3WhDi3e6+K0tJSqKmpAShvcGRmZsLa2hpmZma4f/++VOtGKtdoGhlOTk4IDAzEjh07+Mm03r9/j4ULF4plb/+JEydi2rRp2Lp1K3g8HjIzM3Hx4kX8+uuvnHaXRkREwM3NDfLy8oiIiPjivR4eHpzFBcrf9GvWrMG///6L9PR0oQ3GuO4yHThwIA4fPgx/f39Oy/0SST8jAMyYMQPLly8HANy8eRP+/v745ZdfEBMTA39/f85XTUn6GcvKyrB48WKsWrWKvxxXXV0dv/zyC+bOncvJEsvPSXLFzpAhQxAVFYVJkyZxWu7XmJubizVzb15eHn81zteyuopjyX7r1q1x48YNNG/eHB07dsQff/wBBQUFbN68mXo367BG08hYu3Yt3Nzc0KxZM9jb24PH4yEpKQmKioqIioriPN7MmTORm5sLFxcXfPjwAV27doWioiJ+/fVXTJkyhbM4AwYM4O8u+KWxdXHMyVi4cCG2bNkCf39/zJs3D3PnzkVaWhoOHz4slnFnKysr/P7777hw4QIcHR2FJgxWbLTEJUk/I1C+FNLW1hZA+WTX/v37Y+nSpUhISBDLbpiSfsa5c+fy5w98uqnaggUL8OHDByxZsoTzmF27dsWOHTvw+++/Ayh/P5SVlWHFihVwcXHhNJaVlRXmzZuHS5cuoU2bNkITabn6ORU16bsyXEz61tbWRlZWFvT19aGlpSVyfoa45n8BwG+//YaCggIA5XPevvvuO3z77bfQ0dHBvn37OI9HuNFo5mQA5T0XO3fuxL179/iTBr29vaGsrCy2mKK23W0oLC0tsX79eri7u0NdXR1JSUn8c5cuXcLu3bs5jWdhYVHpNR6Ph9TUVE7jAZJ/RqB834pz587B1tYWXbp0wciRI/Hjjz8iLS0Ntra2nA/vSfoZjY2NsXHjRqGetSNHjmDy5MnIyMjgNB4g2RU7kvo5rdiA6/MVMp+vugC4WXkRFxeHzp07Q05ODnFxcV+899Osu+L0+vXrSiekkjpCogtmpWjp0qUsNDRU6HxoaChbtmyZFGpU/6moqLAnT54wxsozeV6/fp0xxtijR4+YhoaGNKvGGWk8Y//+/VmfPn3YokWLmLy8PH+PlVOnTrEWLVpwHk/Sz6ioqMju378vdP7evXtMSUmJ83gVsrKy2Pz585m7uztzc3Njc+fOZZmZmWKLJ25paWn8Izw8nFlaWrKNGzey5ORklpyczDZu3MhatGjBwsPDpV3VWispKWGysrLs5s2b0q4KqaZGM1yyadMmkX+R2dnZYdiwYZzMBB80aBC2bdsGDQ2Nr+ZN4SpXyvr166t8L9fDCc2aNUNWVhZMTU1hZWWFqKgotG/fHlevXhXLzpSVzcXg8XhQUlKClZUVPD09BRIo1ZaknxEANmzYgMmTJ+PAgQMICQnhT4o8efIk+vbty3k8ST+jvb09NmzYIPSzu2HDBtjb23Mer4KhoSEWLlwotvIl7dNJ30OGDMH69esFhtPatm0LExMTzJs3j5NlypIenvmUnJwczMzMaC+MeqjRNDKys7NF7jGgp6fH2ZbUmpqa/G47TU1NTsr8mjVr1lTpPh6Px3kjY+DAgTh9+jQ6duyIadOmYfjw4QgNDUV6erpYkpUlJiYiISEBpaWlsLa2BmMMDx48gKysLFq1aoXg4GD88ssv/KEGLkj6GQHA1NQUx44dEzpf1X/r6pL0M/7xxx9wd3fHf//9BycnJ/B4PFy4cAFPnz7lbJM6oPyXYuvWrSEjI/PVX5Bc/lL8Wm6SrVu3charws2bN0UO01hYWODOnTucxBC1J48o4pyTERAQgJ07d3L6hwQRr0YzJ6NFixYIDAzEDz/8IHD+n3/+QWBgoFjG8xubS5cu4cKFC7CysuJ8JQtQPnk3Pj4eYWFhArPcx40bhy5dumDChAkYMWIE3r9/j1OnTnEeHxD/MwJAenr6F6+bmpqKJW4FSTxjRkYGgoODBeZHTZ48GcbGxpzF+DTl+qfzFz7H9S/Fz3eeLSkpwa1bt/D27Vv06NGD84zPANC+fXvY2NggNDSUv3quqKgIY8eOxd27dznZtVXae/K0a9cODx8+RElJCczMzIQmfotj911Se42mkbF8+XKsWLECK1as4KcLPn36NGbOnIlffvkFAQEBnMZbuHAhfvjhB4kn16oKDQ0NJCUl1btlX02bNkV0dLRQL8Xt27fh6uqKjIwMJCQkwNXVFTk5OVKqZe19LaMmdRlXzZMnT2Bqagoej/fVX5Di3m+mrKwMkydPRvPmzTFz5kzOy79y5Qr69++PsrIy/pBTcnIyeDwejh07hv/973+cx6wKd3d3bNmyhZOdar821BUYGFjrGIR7jaaRwRjD7NmzsX79ev4+AEpKSpg1a5ZYlum1bdsWt2/fxjfffIMffvgBXl5eAlkZpenTHUhrS5I5GtTU1HDs2DGhXVtjY2PRv39/5OfnIzU1FQ4ODl9dx18dks5DkZycLPB1SUkJEhMTsXr1aixZsuSr831qQpLP2LlzZ3Tr1g0uLi5wdnYW+otUHAoLCznPT1Rd9+/fR/fu3cWWMbiwsFBo9dyIESMk8v2tDJefNVW1Z88eeHh4SPW5ySekM99UevLz89mVK1fYzZs32YcPH8Qa69atWywgIIBZWFgweXl55ubmxnbt2iXRjJ6iqKmpsUePHtW6nM2bNzNZWVlmYGDA7O3tmYODA/9o164dBzUVNGLECGZhYcEOHTrEnj59yp49e8YOHTrEmjdvzn744QfGGGN79uxhjo6OnMWU9DN+ybFjx1i3bt04L1fSz7h06VLWp08fpq6uzuTl5VmnTp3YrFmz2MmTJ1l+fj7n8RhjTFVVlXl7e7PIyEhWWloqlhhfc/z4caarqyuV2NLC1WdNdairq0s8Jqlco+nJkLbz589j9+7d2L9/Pz58+MDpX9rVxdVfF5LO0fDu3Tv4+flhx44d+PjxI4DyWeejRo3CmjVroKqqiqSkJADlk9S4II08FJV58OABHBwc+BsScUVaz1haWoqrV68iNjYWsbGxiImJAY/HQ1FREeexDh06hD179uD48ePQ0NCAl5cXfvjhB3zzzTecx/p8FRRjDFlZWTh+/DhGjRqFDRs2cB5zx44dX7w+cuRIzmNWhTR6MqQRk1Su0awukTZVVVUoKytDQUEB+fn50q4OJySdo0FNTQ1///031qxZg9TUVDDGYGlpKbDBGVeNiwrSyEPxeQO04pfUggULhFJ5c0EazwiUN5qSk5ORnJyMGzduQENDA99++61YYg0aNAiDBg1Cfn4+Dhw4gD179sDZ2RkWFhb44YcfOB0S+jxRl4yMDPT09LBq1aqvrjypqWnTpgl8XVJSgsLCQigoKEBFRUVqjQxCGt1wiSSlpqayxYsXMxsbGyYrK8tcXFzY33//zd6+fSvVenHVnTh27FgWEhLCQY3qLmk8I4/HYzIyMgIHj8djpqam7MKFC5zHk/QzDh06lBkaGjJ9fX32/fffs/Xr17Pk5GSJxa9w+/Zt5uDgwGRkZCQeWxJSUlJYz549WWRkpNTqII3hEmnEJJWjngwxcXJywpUrV9CmTRuMGTMGI0aMEHumyapiHI2QSSpHgzRJ4xnPnDkj8HXFX8JWVlaQk+P+LSvpZ9y/fz90dXUxevRouLi44Ntvv5XYdvsfPnxAREQEdu/ejcjISOjr6+PXX38VS6yXL1/i/v374PF4aNmypcQnfrdo0QLLli3DDz/8gHv37kk0NiEVaE6GmMyZMwfe3t6ws7OTWMwbN25UuqnQ4cOH+bv+nTt3Dt98802td3OURi4RSavLz8jV8kBJP+Pbt29x9uxZxMbGIi4uDrdv34a9vT26d++O7t27w83NjdN4QHmq9127duHw4cOQlZXF999/D29vb7Hk2CgoKMDUqVOxY8cO/kodWVlZjBw5En/++adEV7kkJiaiW7dunM8Be/v2LbS0tERee/jwIaysrAAAQUFB+Omnnyq9VxxoTkbdQo0MMSsuLsbjx49haWkplr9CP2VkZITz588LvbkOHjyIkSNHcj5hkEhXQ/kwffToERYvXoydO3eirKxMLPuAqKiowN3dHd7e3nB3dxfqreHSxIkT8d9//2HDhg3o3LkzgPKGva+vL3r37o2QkBDOY0ZERAh8zf7/PJ4NGzbAxMQEJ0+e5DSes7MzYmJi+Bt/Vbh//z569uyJZ8+ecRqvOlq3bo2TJ0/CxMREanUgn5DmWE1DVlhYyMaOHctkZWWZrKwsf4xw6tSpLCgoSCwxFy5cyMzNzQWSPu3du5epqKiwf//9Vywxq6IxLCmTxjNKeuyZq2d89eoVO3ToEPP19WVt27ZlsrKyTE9Pjw0ePJht2LCBg5oKy83NFUu5oujo6LAzZ84InY+JiRHbElYejydwyMjIMAMDAzZ8+HCxJIHr168f69OnDyspKeGfu3PnDjM0NGS+vr6cx2OMMQsLC5aTkyN0/s2bN8zCwkIsMUntyUi7kdNQzZ49G8nJyYiNjRVo7ffq1Qv79u0TS8z58+fDw8MDvXr1wuvXr7F7926MGTMGO3bskMrqgQqsEXSW0TNWnZ6eHiZNmoSMjAxMmDABSUlJePHiBQ4cOICff/6Zkxif09DQwKNHj/Dbb79h+PDhePHiBQAgMjISt2/f5jRWYWEhDAwMhM7r6+ujsLCQ01gVysrK+MfHjx9RUlKC7Oxs7N69m5PdNj938OBBFBQUYMSIEWCM4datW+jevTuGDx+OdevWcR4PANLS0kT2chUVFSEjI0MsMUnt0cRPMTl8+DD27duHTp06CWwRbWtri0ePHokt7rp16+Dj44NOnTohIyMDe/bsgaenp9jiEVJdycnJaN26tURjxsXFwc3NDZ07d8bZs2exZMkS6Ovr48aNG9iyZQsOHDjAWSwnJycEBgZix44d/D8w3r9/j4ULF8LJyYmzOJ8LDQ3FmjVr8ODBAwDlEz+nT5+O8ePHcx5LSUmJv/vukCFDEB8fj5EjR2LFihWcx/p0KOjUqVMCySdLS0tx+vRpmJubcx6XcIMaGWLy8uVL6OvrC50vKCj4Yl6K6vp8LBYABgwYgLi4OAwfPhw8Ho9/j7iSXRFSHQcOHIC6urrY84V8avbs2Vi8eDH8/f2hrq7OP+/i4sL5X95r166Fm5sbmjVrBnt7e/B4PCQlJUFRURFRUVGcxqowb948rFmzBlOnTuU3ZC5evAg/Pz+kpaVh8eLFtY7x+eRRHo+Hffv2oVevXhg8eDDmzZvHv6cigSEXKias83g8jBo1SuCavLw8zM3NsWrVKs7iEY5Jd7Sm4eratStbv349Y6x87Dw1NZUxxtjPP//M+vTpw1mcz8diKzukuRdAY1i33hj2A+AqXvv27ZmsrCzr0aMH27VrF3v//j0HtfsyVVVV/nvw0+d4/PgxU1RU5DxeYWEh27x5M/P392d+fn7s77//ZoWFhZzHqaCjo8N2794tdH737t1MR0eHkxii9m+p2MOl4po4P2vMzc3Zy5cvxVI2ER/qyRCToKAg9O3bF3fu3MHHjx+xbt063L59GxcvXkRcXBxncT5PZlUXcdlzU1dJ4xnnzJmDJk2aSCweV894/fp13LhxA2FhYfDz88PPP/+MYcOGYezYsWLZ5hsAtLS0kJWVJbRcNzExkfP9a4KCgmBgYIAJEyYInN+6dStevnwplu3bS0tL0aFDB6Hzjo6O/C34a+vz/Vsk7fHjx1KNT2qGlrCK0c2bN7Fy5Upcv34dZWVlaN++PWbNmoU2bdpIu2oS1VCWWn5JbZ9R1LBXZaQ17CWOf8ePHz/i6NGjCAsLQ2RkJKytrTF+/HiMHj1aYOy9tmbOnImLFy9i//79aNmyJRISEvD8+XOMHDkSI0eO5DRNuLm5OXbv3g1nZ2eB85cvX8awYcPE8sty6tSpkJeXx+rVqwXO//rrr3j//j3++usvzmNKmq+vL6ysrIQ2h9uwYQMePnyItWvXSqdi5IuokSEFBw4cwPfffy+WsuPi4rBy5UrcvXsXPB4PNjY2mDFjhthyQlQFV5t/1WW1fUYZGcGFXjweT2A1x6e9COLYR6IqxPHvWFxcjPDwcGzduhUxMTFwdnbG8+fPkZmZib///hteXl6cxCkpKcHo0aOxd+9eMMYgJyeH0tJSjBgxAtu2bYOsrCwncYDySZF3794V6jVJTU2Fra0tPnz4wEmcTxOxffz4Edu2bYOpqSk6deoEALh06RKePn3K3wSMa2/fvkVoaCj/s8bW1hZjx47ltHH4qaZNmyIiIgKOjo4C5xMSEuDh4SHVvTlI5WgJqxh8/PgRt2/fRkpKisD5I0eOwN7eHt7e3mKJu3PnTvTq1QsqKirw9fXFlClToKysjJ49e2L37t2cxnr//j3OnTuHO3fuCF378OGDQFbILl26NLgGxtOnTwWSXdX2GT9dghgVFQUHBwecPHkSb9++RW5uLk6cOIH27dsjMjKSi+rz3b17F2FhYfxtp+/du4effvoJY8eORUxMjMC9XP47Xr9+HVOmTIGRkRH8/PzQrl073L17F3Fxcbh37x4CAwM5286cMcZvtDx48AD//vsvdu7ciXv37uGff/7htIEBACYmJjh//rzQ+fPnz8PY2JizOImJifzj5s2bcHR0hJ6eHh49eoRHjx5BT08P7du353yJLgBcu3YNlpaWWLNmDV6/fo2cnBysXr0alpaWSEhI4DweALx69UpkA0ZDQwM5OTliiUk4IMX5IA3S7du3mYWFBX9S1MCBA1l2djbr2rUr09TUZL/88gtLT08XS+xWrVqx1atXC51ftWoVa9WqFWdx7t+/z8zMzPiTvLp16yaw4U92dnaDTTpVISkpSWzPaGdnx+Lj44XOnz17ltN/x5MnTzIFBQXWpEkTpqSkxE6ePMn09PRYr169WM+ePZmcnBw7ffo0Z/EqtGnThsnJybF+/fqx8PBw9vHjR6F7Xrx4wXg8HifxSktLmby8PEtJSeGkvK9ZtmwZ09HRYVu3bmVpaWksLS2NhYaGMh0dHbZ06VKJ1EHcunTpwkaPHi2wGVdJSQkbNWoU+/bbb8US087Ojv35559C59evX89sbGzEEpPUHjUyONa/f3/Wo0cPdvToUTZs2DDG4/FYixYt2MKFC1leXp5YYysoKLAHDx4InX/w4AGnM+gHDBjAvvvuO/by5Uv24MED1r9/f2ZhYcGePHnCGGsYjYwjR4588VizZo3YnlFJSYnduHFD6HxycjJTUlLiLI6TkxObO3cuY4yxPXv2MG1tbTZnzhz+9Tlz5rDevXtzFq/CokWL2LNnzzgv90tsbW3ZxYsXJRKrrKyMzZw5kykpKfH/2FBRUWELFy6USHxJUFJSYnfv3hU6f/v2baasrCyWmKGhoUxZWZnNnz+fxcbGstjYWDZv3jymoqLCNm/eLJaYpPaokcExAwMDdv36/2vvzuOiqv7/gb/uDIsssojAR5QGBpRNR1EsV8x9+SRSmiGahpq5K5FLjz5m+MjEcsuVSkVAP6J+0ix3BLcQRVFQRFAWRRAhFxRBFJjz+6Ov83McLNN75w6X9/Px8FGcO495vw8DM4dzz3mfVMbYn+VuOY7T2y+Am5sbi4yM1GmPjIxk7u7uvMVxcHDQ+RCcPHkye+ONN1hubq4kBhnPbsnT97bg7t27s169emnNDhUXF7M+ffowf39/3uJYWVlpBqW1tbXMyMhI87PLGGMXL15kjo6OvMV73uPHj1lWVpbWX8NC2bNnD+vWrRu7ePGi4LGeKi8vZykpKezixYusqqpKb3H1wcHBgR08eFCn/cCBA8zBwUGwuGvXrmXNmzfX/A66urqy6OhoweKR10eDDJ5xHMdu3bql+drCwoJlZ2frJfbatWuZiYkJmzhxIouJiWGxsbHsk08+YaampnUOPl5V48aNWWZmpk771KlTWYsWLdjx48fr/SDDycmJ7dq164XXz58/L1gfr169ylq3bs2MjY2Zm5sbc3NzY8bGxszHx6fOmapX9ewggzHdOhjXrl3jdebkKTHO9bGxsWEmJiZMJpOxRo0aMVtbW61/5J+ZNm0aa9GiBYuLi2MFBQXsxo0bbOvWraxFixZsxowZgscvLS1l5eXlgschr4/qZPCM4zitnQIymUzQEx+fNWnSJPzrX//C0qVLsX37dgCAl5cXtm3bxmtpcU9PT5w9exZeXl5a7atWrQJjTBKVRTt06IBz585pqg0+7/ndH3xyd3fHhQsXEB8fj6ysLDDG4O3tjT59+vBaj8PFxUXrWO7k5GS88cYbmus3btwQ5NyLZ8/1GTBggKa9T58+mD9/PubOnct7TNreyK8lS5aA4ziMHj1aU4fD2NgYkyZNQkREhGBxa2pqcPToUeTm5iI4OBgAcPPmTVhZWcHS0lKwuOTV0RZWnslkMlhbW2s+DMrKymBlZaWzRfHu3btipMeLRYsW4cSJE9i3b1+d1ydPnozIyMh6USjsRU6cOIGKigqtD8FnVVRU4OzZs+jRo4egeVRVVcHU1FSQYl+RkZFwdnbGv//97zqvf/HFFygpKcH69et5jatQKDTn+jxbeyMnJwft27fXKV+tTxEREZg4cSJsbGxEy6E+qaysRG5uLhhjcHd3h7m5uWCxrl+/jgEDBqCgoACPHz/GlStXoFQqMXPmTFRVVSEyMlKw2OTV0SCDZ9HR0S/1uOdr8PMpNTVVa++6r6+vYLFeRmFhIZycnHQGWlLCZx/VajUWLlyIyMhIlJSUaN5M582bBxcXF4wbN46HjP85vvpobm6OjIwMKJVKrUFGeno6/P39cf/+fZ4y/uesrKyQlpYm6cJxfCssLATHcbxXTn1eYGAgGjdujA0bNsDOzk7zc3Ps2DGMHz9eczAcMTDi3akhjP15tsDDhw95ea6SkhLWs2dPxnEcs7W1ZTY2NozjONarVy9WWlrKS4xX0bhxY8mfXcJnH8PDw5lSqWSbN29mZmZmmufdtm0b69SpEy8xXgVffdTXuT6voiGcs8OH2tpaFh4ezqysrDQ7aKytrdmCBQtYbW2tIDHt7OxYVlYWY0z3/BmhdrSQ10drMkT2ySef4K233uLlL6dp06bhwYMHuHTpkma9RGZmJsaMGYPp06dj69atrx3jVbAGMFnGZx9jYmLw448/onfv3pg4caKmXaVSaYpmiYGvPurrXB8inC+++AIbNmxAREQEunbtCsYYkpKS8NVXX6GqqgoLFy7kPaZara6z2m1hYaHWybrEsEh3/rqe4PPD6cCBA1i3bp3Wgkxvb2+sWbMG+/fv5y0OEVZRUZFmMeaz1Go1qqurRciIX126dEFSUhIqKyvh5uaGQ4cOwdHREcnJyTolo4lhio6Oxvr16zFp0iSoVCq0bdsWkydPxk8//YRNmzYJErNv375aC3g5jsPDhw8xf/58DBo0SJCY5PXRTIaEqNXqOneyGBsb1+tFmA2Nj48PTpw4AYVCodW+Y8cO0dfX8OHChQtQqVR1rl/65ZdfXrijhxiOu3fvwtPTU6fd09NTsEXty5cvR8+ePTXnvwQHB+Pq1ato2rSpaLO05O/RIENCevXqhRkzZmDr1q2aMxKKiooQGhqK3r17i5wdeVnz58/Hhx9+iKKiIqjVauzcuRPZ2dmIiYnBnj17xE7vtfXv3x9JSUk6twh//vlnjB49GhUVFSJlRl5W27ZtsXr1aqxcuVKrffXq1Wjbtq0gMZ2cnJCWloatW7fi3LlzUKvVGDduHEaOHAkzMzNBYhIeiLoihPC60KygoID5+voyY2NjplQqNUWc2rdvz27cuMFLjFdBCz//uQMHDjB/f39mYWHBzMzMWNeuXeussKhPfPUxPDycubi4aFU0jYuLY+bm5mz79u2v/fzPq66uZps2bWLFxcV/+9iBAwdq5UXqdvToUWZhYcG8vLzY2LFj2bhx45iXlxeztLRkx48fFzs9YkBoC6vInt3Cx5e6ijiJSYg+Ghrq4z8zY8YMHD58GCdOnMCBAwcwfvx4xMbGYujQoTxkqsvc3ByXL1/WuQVFXt3NmzexZs0arfeayZMn83rS7POys7OxatUqzRZ9T09PTJ06tc5bN8RAiDvGIT4+PoKdyiqk6upqJpfLX+osiIKCgjpP2jR0YvXR1dWV3b59W6f93r17zNXVlZcYT4n5Oo4aNYq1bNmSmZubs19++YW3563L22+/LXgMIqwdO3YwIyMj1qlTJxYaGspCQ0NZ586dmZGRkSAzYIQftCZDIGfOnIFarcZbb72l1X769GnI5XL4+fkBADIyMniNm5CQgOXLl2uN9GfOnMn7bIaRkREUCkWdW8qe5+zszGtsfRGrj9euXasz5uPHj1FUVMRbHEB/ffz111912gIDA3Hs2DGMGDECHMdpHiNEWfrJkyfj008/xY0bN9ChQwdYWFhoXVepVLzHlLp79+5hw4YNmvcaLy8vhISEoEmTJoLEmz17Nj7//HMsWLBAq33+/PmYM2cO3n//fUHiktdDt0sE8uabb2L27NkYNmyYVvvOnTuxePFinD59mveYq1evRmhoKIYNG4bOnTsDAE6dOoX//e9/WLZsGaZOncprvKioKOzYsQObN28W7I1FbPrs49MP2cDAQERHR8Pa2lpzrba2FgkJCYiPj0d2djavcfXRx5etEspx3EsNePiI//T8GaFiStmxY8cwZMgQWFlZaf5gSk1NRVlZGX799VdByu2bm5vjwoULOtu7r169irZt26KyspL3mOT10SBDIJaWlrhw4YLO/ev8/HyoVCqUl5fzHrN58+b4/PPPdQYTa9aswcKFC3Hz5k1e4/n6+iInJwfV1dVQKBQ6fx2eO3eO13hi0Gcfn34Q1nX4mrGxMVxcXLB06VK88847vMUEGsbreP369b+8Tms1/pnWrVujS5cuWLduHeRyOYA/B8KTJ09GUlIS7zO0ADBo0CC8//77CAkJ0WqPiopCXFwcDh48yHtM8vrodolATE1NUVJSojPIKC4uhpGRMN/2Bw8e1HmgV79+/TBnzhze4zWEegb67OPTWiaurq44c+YMmjZtqpe4hvo6tmnTBvv27ePlVhQNIviVm5uLn3/+WTPAAAC5XI5PP/0UMTExgsQMCAjAnDlzkJqaik6dOgH4c6Z2x44dCA8P17olJ4WToKWCZjIEEhQUhFu3bmH37t2aae+ysjIEBgbCwcFBcxQ7n0aOHIl27dph1qxZWu1LlixBamoqFawh9QrfO3Zyc3OxYsUKrTUEM2bMgJubGy/P35B07doVs2bN0hmg/vLLL1i8eDGSk5N5jyn2LTfyamgmQyBLly6Fv78/FAqFpkpjWloaHB0dERsby1ucZ4vheHl5YeHChTh69KjWmoykpCSEhYXxFvN5hnbqqxD03cdjx45hyZIlWh+Is2bNQvfu3QWLKeXX8eDBgwgICEC7du00Z22cPHkSPj4++O2339C3b1+xUzR4Fy5c0Pz/9OnTMWPGDOTk5GjNKqxZswYRERGCxKeqxfUTzWQIqKKiAlu2bEF6ejrMzMygUqkwYsSIOkt/vypXV9eXehzHccjLy+MtLgCUlpYiKCgIR48ehY2NDRhjuH//Pnr27Im4uDjY29vzGk8MYvRx8+bNCAkJwXvvvaf1gbhr1y5s2rQJwcHBvMYz1NeRz5kMX19f9O/fX+cDcO7cuTh06JAk1p0ITSaT1ble6Hn6nEkoKyuDjY2NXmKRV6T/XbNEKoYPH846dOjAMjMzNW2XLl1ifn5+LCgoSMTM+CNGHz09PdmyZct02pcuXco8PT15j2eoryOf1XBNTU3ZlStXdNqzs7OZqakpLzGk7tq1ay/9TwgREREsLi5O8/WwYcMYx3HMycmJpaWlCRKTvD6ayeDRr7/+ioEDB8LY2LjOugDPEnJh0pMnT5Cfnw83NzfBFpkCgLW1NQ4fPoyOHTtqtaekpKBfv34oKysTLLa+iNFHU1NTXLp0SWerXk5ODlq3bo2qqipe4xnq68jnTIazszOWLVumU0th+/bt+Oyzz1BQUPDaMYiwlEolNm/ejC5duiA+Ph7Dhw/Htm3bsH37dhQUFODQoUNip0jqQGsyeBQYGIhbt27BwcHhL1fsCzWdWFlZiWnTpmlOt7xy5QqUSiWmT58OJycnzJ07l9d4DeHUVzH66OzsjISEBJ1BRkJCgiCFzRrC6/jxxx9jwoQJyMvLQ5cuXcBxHH7//XcsXrxY0PVKUhYbG4vIyEjk5+cjOTkZCoUCK1asgKurK4YMGcJ7vOLiYs3P/549ezB8+HD069cPLi4uOkUPiQEReyqF8Gf69OmsQ4cO7MSJE8zCwkIz1bx7927Wrl073uMFBAQwf39/VlRUpGkrLCxkPXr0YIGBgbzHE4MYfVy7di0zMTFhEydOZDExMSw2NpZ98sknzNTUlEVGRvIeT999jI6OZlVVVTrtjx8/ZtHR0Zqvt2zZwh4+fMhLTLVazZYtW8aaN2/OOI5jHMex5s2bsxUrVjC1Ws1LjIZk7dq1rGnTpuzrr79mZmZmmveaqKgo9vbbbwsSs1mzZiwpKYkxxlirVq00pcSzsrJY48aNBYlJXh8NMgTysm+kfHrjjTdYcnIyY0z7fvbVq1cF+SU01FNf+SRWH3fu3Mm6du3KmjRpwpo0acK6du0q2Nkb+u6jTCZjJSUlOu23b99mMpmMtzi7d+9mT5480Wl/8OABe/DgAW9xGiIvLy+2a9cuxpj2e83FixeZnZ2dIDGnTJnCFAoF69OnD7Ozs2Pl5eWMsT9P8PX19RUkJnl9tCZDIHK5HMXFxXBwcNBqv3PnDhwcHAS5XWJubo6MjAwolUqt+9np6enw9/fH/fv3eY8JGN6pr0KgPvJHJpOhpKREZ9dKeno6evbsibt37/ISRy6X49atW7C3t3/h7yN5NWZmZsjKyoJCodB6r7l69SpUKhUePXrEe8zq6mp8//33uHHjBj766CPNFusVK1bA0tIS48eP5z0meX20JkMg7P/ORHheYWGh1pkUfOrYsSP27t2LadOmAYAm/k8//aSpm8GnmJgYfPDBB+jbt69WnYEnT54gLi4Oo0eP5j2mvonRx5CQEIwaNQq9evWq82eIb/rqo6+vLziOA8dx6N27t9ai5NraWuTn59dZsfZV2dvb49SpUxg8ePALfx/Jq3F1dUVaWppOJdX9+/fD29tbkJjGxsb47LPPkJmZiYKCAs3ier6KtRFh0EwGz56+kaanp8PHx+eFb6RCVPw8efIkBgwYgJEjR2LTpk345JNPcOnSJSQnJ+PYsWPo0KEDr/HEmK3RNzH6GBAQgEOHDsHOzg5BQUEYNWqUoIWx9NXH8PBwzX/DwsJgaWmpuWZiYgIXFxcMHToUJiYmvMT76quvsGDBgpcaXEjhZ1WfoqKiMG/ePCxduhTjxo3D+vXrkZubi0WLFmH9+vUICgriPWZeXh7ee+89XLx4EQA09Tqevr70Ghommsng2dNdJWlpaejfv/8L30iF0KVLFyQlJWHJkiVwc3PDoUOH0L59eyQnJ6NNmza8xxNjtkbfxOjjr7/+irKyMmzfvh3//e9/sWLFCnh4eGDUqFEIDg6Gi4sLr/H01cf58+cDAFxcXPDBBx+gUaNGvD13Xb766isEBQUhJycHAQEBiIqKosJNPAkJCUFNTQ1mz56NyspKBAcHo3nz5vj+++8FGWAAwIwZM+Di4oL4+HgolUqkpKTgzp07CAsLw5IlSwSJSV4fzWQIJDo6Wi9vpGIQc7ZGXwypj4WFhdi6dSs2btyIq1evoqamhpfnFbuP+ixjHh4ejlmzZsHc3PwvH5eUlAQ/Pz+YmpoKlovU3L59G2q1WvD1Lk2bNkViYiJUKhWsra2RkpICDw8PJCYmIiwsDOfPnxc0Pnk1NJMhkDFjxug95r59+yCXy9G/f3+t9oMHD0KtVmPgwIG8xBFztkZfDKWP1dXVOHv2LE6fPo1r167B0dGRt+cWq49ilDF/OovydwYOHIi0tDS6z/838vPzUVNTg5YtW2qdFnz16lUYGxvzPtsG/Dnwffoz2rRpU9y8eRMeHh5QKBTIzs7mPR7hif43tEiXra0t++OPPxhjjNnY2DBbW9sX/hNCmzZt2N69e3Xa9+/fz1QqFe/xNm3aVOc2XSkRq4+JiYls/PjxzNbWlllZWbGPPvqIxcfHs9raWt5j6buPhlrGnDF+S5lLmb+/P9u0aZNOe2xsLOvRo4cgMbt166bZNjtixAg2YMAA9vvvv7PRo0czHx8fQWKS10e3S3gUHR2NoKAgmJqaaqpuvogQMx1mZma4fPmyzl8R165dg4+PDyoqKniNd+bMGajVap1qe6dPn4ZcLoefnx+v8cQgRh9btGiBO3fuoH///hg5ciQGDx4s6G03fffRUMuYA/wfLy9VVlZWOHfuXJ2l7/38/AR5DQ8ePIiKigq89957yMvLwzvvvIOsrCzY2dlh27Zt6NWrF+8xyeuj2yU8ejpweHrPvH///vjXv/6lt/jW1tbIy8vTGWTk5OTAwsKC93hTpkzB7NmzdT6cioqKsHjxYpw+fZr3mPomRh+//PJLvP/++7C1tf3LxxUWFsLJyQkymey14um7jw2hjLnUcRyH8vJynfb79+8Ltsvj2dvASqUSmZmZuHv3LmxtbWl7sgF7vXcnUicjIyNMmjQJjx8/1mvcgIAAzJw5E7m5uZq2nJwchIWFCXIgW2ZmJtq3b6/T7uvri8zMTN7jiUGMPk6YMOFvBxgA4O3tjWvXrr12PH33sVevXpgxYwZu3rypaSsqKkJoaCh69+7NezzCv+7du2PRokVaA4ra2losWrQI3bp101seTZo0oQGGgaNBhkDeeustva92/u6772BhYQFPT0+4urrC1dUVXl5esLOzE2SLl6mpKUpKSnTai4uLBT39VZ8MuY983enUdx9Xr16N8vJyuLi4wM3NDe7u7nB1dUV5eTlWrVrFe7x/gj6wXs63336LxMREeHh4ICQkBCEhIfDw8MDx48fx3XffiZ0eMSC0JkMgO3bswNy5cxEaGooOHTro3K5QqVSCxGWMIT4+Hunp6TAzM4NKpYK/v78gsYKCgnDr1i3s3r1bU0+hrKwMgYGBcHBwqNdbWJ8y5D7ytX5ArD7qq4w5YwwFBQVwcHCAmZnZXz6W1mS8vJs3b2L16tVa7zVTp05FkyZNxE6NGBAaZAikrvvkHMdpCh9JoTpdUVER/P39cefOHU2Ng7S0NDg6OiI+Pl6QY8n1zZD7yNcHoiH3kQ9qtRqNGjXCpUuX0LJlS7HTIaRBoUGGQK5fv/6X15+v+c+XiooKHDt2DAUFBXjy5InWtenTpwsSb8uWLVp/zYwYMaLOhX31laH2kc+/uoXu48qVK1/6sUL8nPr4+GDDhg3o1KkT78/dkFVWVtb5XiPUTC2pf2iQIZBFixbB0dERY8eO1WrfuHEj/vjjD8yZM4f3mOfPn8egQYNQWVmJiooKNGnSBLdv34a5uTkcHByQl5fHe0wAmgOLnn+jEWKxqVgMsY9WVla8Fo4Sso+urq4v9TiO4wT5Od27dy8iIiKwbt06tG7dmvfnb2j++OMPhISEYP/+/XVel8JMLeGJCLU5GgSFQsGSkpJ02k+dOsVcXFwEidmjRw/28ccfs5qaGk1RoYKCAubv789+/vln3uPl5uYylUrFOI5jMplM89+n/6TAkPvIV+EoMfuoVquZWq0WNAZjfxbHMzExYTKZjDVq1EgvxfGkLDg4mHXp0oWlpKQwCwsLdujQIRYbG8s8PDzYnj17xE6PGBBpbAEwQLdu3UKzZs102u3t7VFcXCxIzLS0NPzwww+Qy+WQy+V4/PgxlEolvv32W4wZMwbvvfcer/FmzJgBV1dXHD58GEqlEqdPn8bdu3cldWCRIfcxMzMTTk5Or/08YvRxw4YNWL58Oa5evQoAaNmyJWbOnInx48cLEm/FihWCPG9DlZiYiN27d6Njx46QyWRQKBTo27cvrKyssGjRIvz73/8WO0ViIGiQIRBnZ2ckJSXpTBMnJSXx8sFQF2NjY80WPEdHRxQUFMDLywvW1tYoKCjgPV5ycjISExNhb28PmUwGuVyObt26YdGiRZg+fbokDiwSo49VVVVYtWoVjhw5gtLSUp0CVefOnQMA3hZk6ruP8+bNw/LlyzFt2jR07txZk0NoaCiuXbuGr7/+mtd4gDhnCUlZRUWF5kC0Jk2a4I8//kCrVq3Qpk0bzc8nIQANMgQzfvx4zJw5E9XV1ZpytwkJCZg9ezbCwsIEienr64uzZ8+iVatW6NmzJ7788kvcvn0bsbGxghz13hAOLBKjj2PHjkV8fDyGDRuGN998U/DaDfru47p16/DTTz9hxIgRmraAgACoVCpMmzZNkEEGAOTm5iIqKgq5ubn4/vvv4eDggAMHDsDZ2Rk+Pj6CxJQqDw8PZGdnw8XFBe3atcMPP/wAFxcXREZG1jmDSxowse/XSJVarWazZ89mjRo10tzbNjc3Z+Hh4YLFPHPmDEtMTGSMMVZaWsoGDhzIGjduzHx9fVlaWhrv8RrCgUVi9NHKyor9/vvvgjx3XfTdRxsbG3blyhWd9uzsbGZtbc17PMYYO3r0KDMzM2N9+vRhJiYmmrUsixcvZkOHDhUkppRt3ryZRUVFMcYYO3fuHLO3t9esd4mLixM3OWJQaJAhsPLycpaSksIuXrwoyEmXu3fvZk+ePOH9eV/GgQMHNAtKc3NzmZeXF+M4jjVt2pQlJCSIkhPfxOijl5cXS09PF+S566LvPk6dOpWFhobqtIeFhbHJkyfzHo8xxjp16sSWLl3KGNNeMJuSksKcnJwEiSk19+/ff+G1iooKlpqaqjmFmpCnaAtrPSeXy3Hr1i3Y29tDLpejuLhYc69UDA3hwCKh+7h//36sXLkSkZGRgtVT+TtC9nHatGmIiYmBs7Ozpm7FqVOncOPGDYwePVqrNseyZct4iWlpaYmLFy/C1dVVq77ItWvX4OnpiaqqKl7iSNmz7y+9evXCzp07YWNjI3ZaxMDRmox6zt7eHqdOncLgwYM11UTF1BBKCgvdRz8/P1RVVUGpVMLc3FynINbdu3cFjQ8I28eMjAzNgWxPD/Ozt7eHvb09MjIyNI/j82fZxsYGxcXFOguxz58/j+bNm/MWR8osLS1x584dODg44OjRo6iurhY7JVIP0CCjnps4cSKGDBkCjuPAcdxfHi1PBXLqhxEjRqCoqAjffPMNHB0dRR848u3IkSN6jxkcHIw5c+Zgx44d4DgOarUaSUlJ+OyzzzB69Gi951Mf9enTBz179oSXlxcA4N1334WJiUmdj01MTNRnasSA0e0SCcjKykJOTg4CAgIQFRX1winMIUOG6Dcx8krMzc2RnJyMtm3bip2KZFRXV+Ojjz5CXFwcGGMwMjJCbW0tgoODsWnTJsjlcrFTNHiPHj1CdHQ0cnNzsXTpUnz88ccwNzev87HLly/Xc3bEUNEgQ0LCw8Mxa9asF/7iP5WUlAQ/Pz+YmprqKTPyT7Rv3x5r166lczYEkJeXh3PnzkGtVsPX15cOTHtFPXv2xK5du2hNBvlbNMhogPg+84Lw69ChQwgPD8fChQvRpk0bnTUZVlZWImUmHbW1tbh48SIUCgVsbW3FTkey6L2G0JqMBojGlYZtwIABAIDevXtrtT9d2Etra/65mTNnok2bNhg3bhxqa2vRo0cPnDx5Eubm5tizZw/efvttsVOUJHqvITTIIMTAiLEwUur+97//YdSoUQCA3377DXl5ecjKykJMTAy++OILJCUliZwhIdJEgwxCDEyPHj3ETkFybt++rdl5tW/fPgwfPhytWrXCuHHjsHLlSpGzI0S6aJBBiIE5fvz4X1739/fXUybS4ejoiMzMTDRr1gwHDhzA2rVrAQCVlZW0s4QQAdEgowGSWt0FqalrfcCzrxmtyfjnQkJCMHz4cDRr1gwcx6Fv374AgNOnT8PT01Pk7KSL3msIDTIkgjGGgoICODg4wMzM7G8fSwzXvXv3tL6urq7G+fPnMW/ePCxcuFCkrOq3r776Cq1bt8aNGzfw/vvva7Zvy+VyzJ07V+TspIveawhtYZUItVqNRo0a4dKlS7T3X6KOHz+O0NBQpKamip0KIS/l999/R8eOHakmTwNGMxkSIZPJ0LJlS9y5c4cGGRJlb2+P7OxssdOolxYsWPCX17/88ks9ZVL/PXr0CKmpqWjSpAm8vb21rlVVVWH79u2aUu3dunUTI0ViQGgmQ0L27t2LiIgIrFu3Dq1btxY7HfKKLly4oPU1YwzFxcWIiIhAdXU1bbd8Bb6+vlpfV1dXIz8/H0ZGRnBzc8O5c+dEyqx+uXLlCvr164eCggJwHIfu3btj69ataNasGQCgpKQETk5OtG6IaNAgQ0JsbW1RWVmJmpoamJiY6KzN0MfpneT1yWQycByncz+7U6dO2LhxIy1U5MmDBw/w0Ucf4d1338WHH34odjr1wrvvvouamhpERUWhrKwMn376KTIyMnD06FG88cYbNMggOmiQISHR0dF/eX3MmDF6yoS8juvXr2t9LZPJYG9vj0aNGomUkXRlZGTgnXfewbVr18ROpV5wdHTE4cOH0aZNG03blClTsGfPHhw5cgQWFhY0yCBaaE2GhNAgQhoUCgUSEhKQkJCA0tJSqNVqresbN24UKTPpKSsrw/3798VOo9549OgRjIy0PzbWrFkDmUyGHj164L///a9ImRFDRYMMiamtrcUvv/yCy5cvg+M4eHt7IyAggAoO1SPh4eFYsGAB/Pz8NHUdyOt5vqrn03UusbGxmrNiyN/z9PTE2bNn4eXlpdW+atUqMMYQEBAgUmbEUNHtEgnJycnBoEGDUFRUBA8PDzDGcOXKFTg7O2Pv3r1wc3MTO0XyEpo1a4Zvv/2W1gnwyNXVVevrp7egevXqhc8//xyNGzcWKbP6ZdGiRThx4gT27dtX5/XJkycjMjJSZ/aNNFw0yJCQQYMGgTGGLVu2oEmTJgCAO3fuYNSoUZDJZNi7d6/IGZKXYWdnh5SUFBoUiqCwsBBOTk6QyWRipyIJ9P0kNMiQEAsLC5w6dUprURYApKeno2vXrnj48KFImZF/Ys6cObC0tMS8efPETqXBsbKyQlpaGpRKpdipSAJ9PwmtyZAQU1NTlJeX67Q/fPgQJiYmImREXkVVVRV+/PFHHD58GCqVCsbGxlrXly1bJlJm0kd/c/GLvp+EBhkS8s4772DChAnYsGED3nzzTQB/HgA1ceJEWpBVj1y4cAHt2rUD8OcWy2fRIlBCSH1CgwwJWblyJcaMGYPOnTtr/vqtqalBQEAAVqxYIW5y5KUdOXJE7BQIIYQXNMiQEBsbG+zevRs5OTm4fPkyGGPw9vaGu7u72KkRQghpgGjJr4QsWLAAlZWVcHd3x+DBgxEQEAB3d3c8evTobw+IIoTQ7Si+0feT0CBDQsLDw+vcQVJZWYnw8HARMiKkfqGFivyi7yehQYaEMMbq/MshPT1dUzeDEPJimZmZUCgUYqdh0GpqamBkZKSzKLku9P0ktCZDAmxtbcFxHDiOQ6tWrbQGGrW1tXj48CEmTpwoYoaEiKuqqgqrVq3CkSNH6jwP5ulR787OzmKkV68YGRlBoVC81CFo9P0kVIxLAqKjo8EYw9ixY7FixQpYW1trrpmYmMDFxQWdO3cWMUNCxBUcHIz4+HgMGzYMjo6OOjN+8+fPFymz+ikqKgo7duzA5s2baZaU/CUaZEjIsWPH0LVrV51TEglp6KytrbFv3z507dpV7FQkwdfXFzk5OaiuroZCoYCFhYXW9aczQ4TQp5GEVFRUICEhAf3799dqP3jwINRqNQYOHChSZoSIq3nz5nQIGo8CAwPFToHUEzSTISEqlQoREREYNGiQVvuBAwcwZ84cpKeni5QZIeLav38/Vq5cicjISFqISIge0UyGhFy9ehXe3t467Z6ensjJyREhI0IMg5+fH6qqqqBUKmFubq5zHszdu3dFyqx+S01NxeXLl8FxHLy9veHr6yt2SsTA0CBDQqytrZGXlwcXFxet9pycHJ17poQ0JCNGjEBRURG++eabOhd+kn+mtLQUQUFBOHr0KGxsbMAYw/3799GzZ0/ExcXB3t5e7BSJgaDbJRIyYcIEnDp1Crt27YKbmxuAPwcYQ4cORceOHbF+/XqRMyREHObm5khOTkbbtm3FTkUSPvjgA+Tm5iI2NhZeXl4A/qyJMWbMGLi7u2Pr1q0iZ0gMBQ0yJOT+/fsYMGAAzp49ixYtWgAACgsL0b17d+zcuRM2NjbiJkiISNq3b4+1a9eiU6dOYqciCdbW1jh8+DA6duyo1Z6SkoJ+/fqhrKxMnMSIwaHbJRJibW2NkydPIj4+Hunp6TAzM4NKpYK/v7/YqREiqoiICISFhWHhwoVo06aNzpoMKysrkTKrn9Rqtc73EACMjY11Cp2Rho1mMiSqqqoKpqamdO+ZEAAy2Z8nKDz/+/C0FP/LVK8k/9+QIUNQVlaGrVu3wsnJCQBQVFSEkSNHwtbWFrt27RI5Q2IoaCZDQtRqNRYuXIjIyEiUlJTgypUrUCqVmDdvHlxcXDBu3DixUyREFEeOHBE7BUlZvXo1hgwZAhcXFzg7O4PjOBQUFKBNmzbYvHmz2OkRA0IzGRKyYMECREdHY8GCBfj444+RkZEBpVKJ7du3Y/ny5UhOThY7RUKIhMTHxyMrKwuMMXh7e6NPnz5ip0QMDA0yJMTd3R0//PADevfujcaNGyM9PR1KpRJZWVno3Lkz7t27J3aKhIji+PHjf3md1i39MzExMfjggw9gamqq1f7kyRPExcVh9OjRImVGDA0NMiTEzMwMWVlZUCgUWoOMzMxMvPnmm3j48KHYKRIiiqdrMp71/GnF5OXJ5XIUFxfDwcFBq/3OnTtwcHCg7yfR0P3NI/WWj48PTpw4odO+Y8cOqsRHGrR79+5p/SstLcWBAwfQsWNHHDp0SOz06p2nC2afV1hYqHUKNCG08FNC5s+fjw8//BBFRUVQq9XYuXMnsrOzERMTgz179oidHiGiqeuDr2/fvjA1NUVoaChSU1NFyKr+8fX1Bcdx4DgOvXv31jrxuba2Fvn5+RgwYICIGRJDQ4MMCRk8eDC2bduGb775BhzH4csvv0T79u3x22+/oW/fvmKnR4jBsbe3R3Z2tthp1BtPT19NS0tD//79YWlpqblmYmICFxcXDB06VKTsiCGiNRkSUVNTg4ULF2Ls2LFwdnYWOx1CDMqFCxe0vmaMobi4GBEREaiurkZSUpJImdVP0dHRCAoK0ln4ScjzaJAhIZaWlsjIyNA5II2Qhk4mk4HjODz/dtepUyds3LgRnp6eImVWP505cwZqtRpvvfWWVvvp06chl8vh5+cnUmbE0NDCTwnp06cPjh49KnYahBic/Px85OXlIT8/H/n5+bh+/ToqKytx8uRJGmC8gilTpuDGjRs67UVFRZgyZYoIGRFDRWsyJGTgwIH4/PPPkZGRgQ4dOugc7x4QECBSZoSIS6FQICEhAQkJCSgtLdU5X2Pjxo0iZVY/ZWZmon379jrtvr6+yMzMFCEjYqhokCEhkyZNAgAsW7ZM5xqdz0AasvDwcCxYsAB+fn5o1qwZnenzmkxNTVFSUgKlUqnVXlxcrLXjhBBak0EIkbxmzZrh22+/xYcffih2KpIQFBSEW7duYffu3ZrtwWVlZQgMDISDgwO2b98ucobEUNAggxAieXZ2dkhJSYGbm5vYqUhCUVER/P39cefOHU2hv7S0NDg6OiI+Pp52uBENGmTUcytXrsSECRPQqFEjrFy58i8fO336dD1lRYhhmTNnDiwtLTFv3jyxU5GMiooKbNmyBenp6TAzM4NKpcKIESNgbGwsdmrEgNAgo55zdXXF2bNnYWdnB1dX1xc+juM45OXl6TEzQgzHjBkzEBMTA5VKBZVKpfNBWNc6JvL3MjMzUVBQgCdPnmi10yJz8hQNMgghktezZ88XXuM4DomJiXrMpv7Ly8vDu+++i4sXL2rqj9CBc6QuNMio5z799NOXehzHcVi6dKnA2RBCGoLBgwdDLpfjp59+glKpxOnTp3H37l2EhYVhyZIl6N69u9gpEgNBe43qufPnz2t9nZqaitraWnh4eAAArly5Arlcjg4dOoiRHiFEgpKTk5GYmAh7e3vIZDLI5XJ069YNixYtwvTp03Xel0jDRYOMeu7IkSOa/1+2bBkaN26M6Oho2NraAvjziOuQkBD6y4IQwpva2lrN4WhNmzbFzZs34eHhAYVCQQfOES10u0RCmjdvjkOHDsHHx0erPSMjA/369cPNmzdFyowQIiXdu3dHWFgYAgMDERwcjHv37uE///kPfvzxR6SmpiIjI0PsFImBoLNLJOTBgwcoKSnRaS8tLUV5ebkIGRFCpOg///mPpjT7119/jevXr6N79+7Yt2/f326lJw0LzWRIyOjRo3Hs2DEsXboUnTp1AgCcOnUKs2bNgr+/P6Kjo0XOkBAiVXfv3oWtrS2VbCdaaJAhIZWVlfjss8+wceNGVFdXAwCMjIwwbtw4fPfddzoHphFCCCFCokGGBFVUVCA3NxeMMbi7u9PgghBCiChokEEIIYQQQdDCT0IIIYQIggYZhBBCCBEEDTIIIYQQIggaZBBCCCFEEDTIIIQQQoggaJBBCCGEEEHQIIMQQgghgqBBBiGEEEIE8f8AWXlg88sq4u0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "null_values_before_removal = movie_dataset.isnull().sum()\n",
    "print(\"Number of Null Values before Removal:\")\n",
    "print(null_values_before_removal) #number of null values before removal will be printed\n",
    "sns.heatmap(movie_dataset.isnull()) #number of nulls available in this file and can be shown in heatmap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bmYu4Ho06QZe"
   },
   "source": [
    "Now the IMDB data has been imported into a \"movie_dataset\" data frame with 5043 records. Data wrangling revealed null values, 45 duplicate records, and unique movie genres. The heatmap above demonstrates how null values are spread across columns, thus we must clean the data before analysing it.\n",
    "\n",
    "In the next step, I will eliminate duplicate entries and remove the null values in the dataset to clean the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "executionInfo": {
     "elapsed": 1379,
     "status": "ok",
     "timestamp": 1700750400675,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "LycARrR26QZe",
    "outputId": "ae0d7ac6-4798-416a-f2d3-d42117371c56",
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Null Values After Removal:\n",
      "color                      0\n",
      "director_name              0\n",
      "critic_Reviews             0\n",
      "duration                   0\n",
      "director_facebook_likes    0\n",
      "actor_3_facebook_likes     0\n",
      "actor_2_name               0\n",
      "actor_1_facebook_likes     0\n",
      "gross                      0\n",
      "genres                     0\n",
      "actor_1_name               0\n",
      "movie_title                0\n",
      "num_voted_users            0\n",
      "total_FB_Likes             0\n",
      "actor_3_name               0\n",
      "facenumber_in_poster       0\n",
      "plot_keywords              0\n",
      "movie_imdb_link            0\n",
      "num_user_for_reviews       0\n",
      "language                   0\n",
      "country                    0\n",
      "content_rating             0\n",
      "budget                     0\n",
      "title_year                 0\n",
      "actor_2_facebook_likes     0\n",
      "imdb_score                 0\n",
      "aspect_ratio               0\n",
      "movie_facebook_likes       0\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "movie_dataset.dropna(inplace= True) #This line of code will drop all the Null values.\n",
    "# Display the number of null values in each column after removal\n",
    "null_values_after_removal = movie_dataset.isnull().sum()\n",
    "print(\"Number of Null Values After Removal:\")\n",
    "print(null_values_after_removal)\n",
    "\n",
    "sns.heatmap(movie_dataset.isnull()) #To ensure the null values are dropped and is shown in the below heatmap.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 5,
     "status": "ok",
     "timestamp": 1700750400676,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "fWOI_QQ56QZe",
    "outputId": "42dcd8bb-c6a1-4089-f997-161cc0cea577",
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_dataset.drop_duplicates(subset=None, inplace= True) #This line will remove/drop the duplicates from the dataset\n",
    "movie_dataset.duplicated().sum() #Checking for the duplicate value counts once again which should be 0."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "wLA05bDdvPQ-"
   },
   "source": [
    "## **Exploratory Data Analysis**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "executionInfo": {
     "elapsed": 4,
     "status": "ok",
     "timestamp": 1700750400676,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "YV3cOYi36QZe"
   },
   "outputs": [],
   "source": [
    "columns =['budget', 'country', 'director_name', 'genres', 'gross', 'language', 'imdb_score', 'movie_title']\n",
    "#I only need to extract the above mentioned column datas for my further analysis to check whether which movie genre can be recommended\n",
    "CFmovie_dataset = movie_dataset[columns] #This is a new data frame name for the file with customized columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 605
    },
    "executionInfo": {
     "elapsed": 837,
     "status": "ok",
     "timestamp": 1700750401510,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "die1t0Q36QZe",
    "outputId": "58ace714-b856-45bc-c363-986bf7b55b22"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#I'm now gonna plot a histogram in order to display the unique movie titles released in Top 5 countries\n",
    "df_country = CFmovie_dataset.groupby(['country']).agg({\"movie_title\": \"nunique\"}).reset_index().sort_values(by=['movie_title'], ascending=False)[:5]\n",
    "#Creating a histogram\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(df_country['country'], df_country['movie_title'], color='orange')\n",
    "plt.xlabel('Country')\n",
    "plt.ylabel('Number of Unique Movie Titles')\n",
    "plt.title('Distribution of Unique Movie Titles by Country (Top 5)')\n",
    "plt.xticks(rotation=45, ha='right')  #Rotate country labels for better readability\n",
    "plt.grid(axis='y')  #Adding a grid to enhance readability\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3FEP4J5u6QZe"
   },
   "source": [
    "I have analysed each country's movie production, as seen in the histogram. In this, I plotted the top countries again and found that the US market has the most movies. To target a certain market and get a high ROI, I will refine my analysis, targeting for the US market."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QVaqytE1kfU4"
   },
   "source": [
    "Now I will be appending data quality parameters to the file after deciding which particular columns to include. These factors include the following parameters: 1) Eliminating the zeros from the budget and gross columns since they provide inaccurate insights. 2) Limiting the budget value to 1.5M (Budget≤1,500,000) because we only have a 1.5M budget. 3) I've selected the US as my target market to increase ROI."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6pqcdoAwkepa"
   },
   "source": [
    "In addition to the existing paramaters where budget, gross and imdb_score are metrics (Facts) and genres, director_name, country and language are dimensions. With these paramaters i'll be adding 2 more calculated metrics called Return on Investment %(ROI%) and Profit(based on budget and gross)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "executionInfo": {
     "elapsed": 5,
     "status": "ok",
     "timestamp": 1700750401510,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "pVOBuTs06QZe",
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "CFmovie_dataset = CFmovie_dataset[CFmovie_dataset['budget']<=1500000] #This is to restrict the budget value\n",
    "CFmovie_dataset = CFmovie_dataset[CFmovie_dataset['budget']!=0]\n",
    "CFmovie_dataset = CFmovie_dataset[CFmovie_dataset['gross']!=0] #dropping the 0 values from the gross\n",
    "CFmovie_dataset = CFmovie_dataset[CFmovie_dataset['country']=='USA'] #Keeping the target country market as USA\n",
    "CFmovie_dataset.dropna(subset=['budget', 'gross', 'country'], inplace=True) #removing/dropping the Null values from the rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "executionInfo": {
     "elapsed": 4,
     "status": "ok",
     "timestamp": 1700750401510,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "eCCcTxpA6QZe"
   },
   "outputs": [],
   "source": [
    "#now calculating and adding the new metric fields to dataframe\n",
    "CFmovie_dataset[\"%ReturnOnInvestment\"]= ((CFmovie_dataset[\"gross\"]-CFmovie_dataset[\"budget\"])/ CFmovie_dataset[\"budget\"])\n",
    "CFmovie_dataset[\"Profit\"]= (CFmovie_dataset[\"gross\"]-CFmovie_dataset[\"budget\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 16575,
     "status": "ok",
     "timestamp": 1700750419664,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "8fehJQyQFw1q",
    "outputId": "81225cd8-1989-4953-b998-2de3cffe8dca"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: tabulate in /Users/aravindh/anaconda3/lib/python3.11/site-packages (0.8.10)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install tabulate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 12,
     "status": "ok",
     "timestamp": 1700750419665,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "0G4Bf0DCSd_C",
    "outputId": "50ec28c9-ce15-4d60-fe9b-cfcb15972dcf"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top Genres based on Return on Investment:\n",
      "+-------------------------------------------+--------------------+--------------+\n",
      "|                  genres                   |        %ROI        | total_movies |\n",
      "+-------------------------------------------+--------------------+--------------+\n",
      "|                  Horror                   | 7193.4855333333335 |      6       |\n",
      "|           Biography|Documentary           | 2714.6605504587155 |      1       |\n",
      "|           Comedy|Drama|Romance            |      408.864       |      13      |\n",
      "|              Horror|Thriller              | 368.4272853517215  |      5       |\n",
      "|    Action|Crime|Drama|Romance|Thriller    |       290.56       |      1       |\n",
      "|         Comedy|Documentary|Drama          | 176.3748923076923  |      1       |\n",
      "|            Comedy|Drama|Music             | 147.00514800514802 |      2       |\n",
      "|                Drama|Sport                | 121.12004895833333 |      5       |\n",
      "|                  Comedy                   |     110.35239      |      8       |\n",
      "|         Adventure|Family|Romance          |      78.1052       |      1       |\n",
      "|                Documentary                | 76.47454545454545  |      6       |\n",
      "|               Drama|Romance               |     65.902958      |      3       |\n",
      "| Adventure|Biography|Drama|Horror|Thriller |     60.001764      |      1       |\n",
      "|           Drama|Sci-Fi|Thriller           |       59.68        |      1       |\n",
      "|          Drama|Mystery|Thriller           | 52.616166666666665 |      2       |\n",
      "+-------------------------------------------+--------------------+--------------+\n"
     ]
    }
   ],
   "source": [
    "from tabulate import tabulate\n",
    "\n",
    "dataset_genre = CFmovie_dataset.groupby(['genres', ]).agg({\"%ReturnOnInvestment\":\"max\",\"movie_title\":\"count\"}).reset_index().sort_values(by=['%ReturnOnInvestment'],ascending=False)[:15]\n",
    "#Displaying the top genres and their corresponding max ROI values also with their count of movies in each genre\n",
    "dataset_genre = dataset_genre.rename(columns={\"%ReturnOnInvestment\": \"%ROI\", \"movie_title\":\"total_movies\"}) #Renaming the columns to avoid conflicts\n",
    "top_genres = dataset_genre [['genres','%ROI','total_movies']]\n",
    "print(\"Top Genres based on Return on Investment:\")\n",
    "print(tabulate(top_genres, headers='keys', tablefmt='pretty', showindex=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 582
    },
    "executionInfo": {
     "elapsed": 501,
     "status": "ok",
     "timestamp": 1700750420158,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "7iddZ6DrkEKe",
    "outputId": "8e6dd355-753c-4972-ce2a-3bf7a6674cff"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "175"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Plotting return on investment based on the Genres\n",
    "plt.figure(figsize=(8,6))\n",
    "plt.barh(dataset_genre[::-1]['genres'], dataset_genre[::-1]['%ROI'],color=['blue'])\n",
    "plt.xlabel('Return on Investment (%)')\n",
    "plt.ylabel('Genres')\n",
    "plt.title('ROI based on Genres')\n",
    "plt.show()\n",
    "CFmovie_dataset.shape[0] #checking the number of samples/records in the dataframe\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vcdp9lRXBFB9"
   },
   "source": [
    "The above plot above shows genre-specific maximum ROI and also helps us identify the genres for data analysis using maximum ROI %. Due to the small sample numbers for the top two genres (6 and 1), I have considered to go with the Comedy|Drama|Romance (13) for my further analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 7,
     "status": "ok",
     "timestamp": 1700750420158,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "fiODYzc4HqNk",
    "outputId": "d8bc5221-e99d-4242-ed36-00e2677be05d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CFmovie_dataset = CFmovie_dataset[CFmovie_dataset['genres']=='Comedy|Drama|Romance'] #filtering the genre and keeping only Comedy|Drama|Romance genre by above analysis\n",
    "CFmovie_dataset.shape[0] #checking the number of samples/records in the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 300
    },
    "executionInfo": {
     "elapsed": 412,
     "status": "ok",
     "timestamp": 1700750420565,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "jnbgKKl1H0i6",
    "outputId": "68d5ed12-e1c9-4ec6-e3d1-88f0406a6a3c"
   },
   "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>budget</th>\n",
       "      <th>gross</th>\n",
       "      <th>imdb_score</th>\n",
       "      <th>%ReturnOnInvestment</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>13.000000</td>\n",
       "      <td>1.300000e+01</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>1.300000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>466538.461538</td>\n",
       "      <td>3.926704e+06</td>\n",
       "      <td>6.753846</td>\n",
       "      <td>40.648154</td>\n",
       "      <td>3.460165e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>385510.400937</td>\n",
       "      <td>3.715438e+06</td>\n",
       "      <td>0.415563</td>\n",
       "      <td>111.343209</td>\n",
       "      <td>3.807864e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>25000.000000</td>\n",
       "      <td>2.792820e+05</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>-0.720718</td>\n",
       "      <td>-7.207180e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>225000.000000</td>\n",
       "      <td>9.028350e+05</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>2.611340</td>\n",
       "      <td>6.528350e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>250000.000000</td>\n",
       "      <td>2.938208e+06</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>6.022940</td>\n",
       "      <td>2.713208e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>850000.000000</td>\n",
       "      <td>4.186931e+06</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>15.747724</td>\n",
       "      <td>3.936931e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>1.200651e+07</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>408.864000</td>\n",
       "      <td>1.175651e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               budget         gross  imdb_score  %ReturnOnInvestment  \\\n",
       "count       13.000000  1.300000e+01   13.000000            13.000000   \n",
       "mean    466538.461538  3.926704e+06    6.753846            40.648154   \n",
       "std     385510.400937  3.715438e+06    0.415563           111.343209   \n",
       "min      25000.000000  2.792820e+05    6.100000            -0.720718   \n",
       "25%     225000.000000  9.028350e+05    6.500000             2.611340   \n",
       "50%     250000.000000  2.938208e+06    6.700000             6.022940   \n",
       "75%     850000.000000  4.186931e+06    7.000000            15.747724   \n",
       "max    1000000.000000  1.200651e+07    7.500000           408.864000   \n",
       "\n",
       "             Profit  \n",
       "count  1.300000e+01  \n",
       "mean   3.460165e+06  \n",
       "std    3.807864e+06  \n",
       "min   -7.207180e+05  \n",
       "25%    6.528350e+05  \n",
       "50%    2.713208e+06  \n",
       "75%    3.936931e+06  \n",
       "max    1.175651e+07  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CFmovie_dataset.describe() #showing descriptive statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "76mk04m1UHZX"
   },
   "source": [
    "## **Hypothesis Testing**:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hgBzrq9dNBZA"
   },
   "source": [
    "The describe() function will return all calculated values with respect to statistics and this will enable us to conduct hypothesis analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "znYn_7kdTyBn"
   },
   "source": [
    "\"A high imdb_score will result in a higher Return on Investment (ROI) for Comedy, Drama, and Romance if imdb_score has an impact on this measure.\"\n",
    "\n",
    "On this natural hypothesis, we have two variables: imdb_score (independent variable) and return on investment.\n",
    "\n",
    "H0, Null Hypothesis: imdb_score has no influence on the Return on Investment for Comedy|Drama|Romance. H0: Assumed mean μ=6.5\n",
    "\n",
    "H1 Alternative Hypothesis: imdb_score has an effect on Comedy|Drama|Romance Return on Investment. Assumed mean μ≥6.5\n",
    "\n",
    "N=13 X(sample mean)=6.75 standard deviation=0.41"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 6,
     "status": "ok",
     "timestamp": 1700750420566,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "6dXHLQ4oz-Iu",
    "outputId": "6e675eec-fa70-4a0b-96e7-7a2528bab21e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "t-value: 2.1985068752829204\n"
     ]
    }
   ],
   "source": [
    "#Calculating the t-value or t-score using the above values since the sample size is < 30\n",
    "import math\n",
    "\n",
    "sample_mean = 6.75\n",
    "population_mean_null_hypothesis = 6.5\n",
    "standard_deviation = 0.41\n",
    "sample_size = 13\n",
    "\n",
    "# Calculate t-value\n",
    "t_value = (sample_mean - population_mean_null_hypothesis) / (standard_deviation / math.sqrt(sample_size))\n",
    "\n",
    "print(\"t-value:\", t_value)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "i5C2XY8uu7MA"
   },
   "source": [
    "Using the T value above i.e T ≥ 2.198 we can calculate the p-value based on the T value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 4,
     "status": "ok",
     "timestamp": 1700750420566,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "SB8cefpHVAPD",
    "outputId": "8a5753e0-486f-42a5-e663-aa1c0eae1a44"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The p value for t higher than or equal to 2.198 is 0.013974552969125198\n"
     ]
    }
   ],
   "source": [
    "#Hypothesis testing for finding the p value\n",
    "from scipy import stats\n",
    "p_value = 1-stats.norm.cdf(2.198)\n",
    "print(\"The p value for t higher than or equal to 2.198 is\", p_value)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jBq7ojjeVdFQ"
   },
   "source": [
    "The p-value is 0.013, which is actually P ≤ 0.05, therefore I am rejecting the null hypothesis and adopting the alternative hypothesis, which suggests that making a Comedy|Drama|Romance film with high IMDB ratings will have an effect on Return on investment."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zBLQT6V96QZf"
   },
   "source": [
    "## **Summary**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4MjawYRCWY8B"
   },
   "source": [
    "Sussex Budget Productions is searching for a good return on investment (ROI) for the film they are creating because their previous film did not go well.\n",
    "\n",
    "So, in order to provide the best action item for the organization to choose the next movie and recover the loss and money, I dug deep into IMDB data and conducted exploratory data analysis (EDA), which included data wrangling and data cleansing. I used EDA to examine genres, movie counts, earnings, ROI, IMDB score, and gross. These findings aid in the identification of patterns between genres and ROI based on the number of films.\n",
    "\n",
    "According to the findings of the analysis, the 'Comedy|Drama|Romance' genre fits the criteria for a good return on investment for the next film. The hypothesis test on the specific genre was done based on IMDB ratings and ROI; thus, good IMDB ratings for the genre 'Comedy|Drama|Romance' will have a strong ROI within a budget restriction of 1.5 million.\n",
    "\n",
    "According to the data analysis, I recommend that the film be made in English with the 'Comedy|Drama|Romance' genre, and that it be released in the USA market rather than other countries for a greater ROI."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 559,
     "status": "ok",
     "timestamp": 1700750421121,
     "user": {
      "displayName": "Aravindhan S",
      "userId": "11350369439612807780"
     },
     "user_tz": 0
    },
    "id": "QqrySSO2yRUs",
    "outputId": "bcf79508-6f9c-4182-fc9c-35e5bb387037"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submission length is 958\n"
     ]
    }
   ],
   "source": [
    "# write the notebook filepath here\n",
    "# make sure that the notebook is also in the same directory as this code\n",
    "filepath=\"DSRM report_277570.ipynb\"\n",
    "\n",
    "import io\n",
    "from nbformat import read\n",
    "with io.open(filepath, \"r\", encoding=\"utf-8\") as f:\n",
    "    nb=read(f, 4)\n",
    "word_count = 0\n",
    "for cell in nb[\"cells\"]:\n",
    "    if cell.cell_type == \"markdown\":\n",
    "        word_count += len(cell[\"source\"].replace(\"#\", \"\").lstrip().split(\" \"))\n",
    "print(f\"Submission length is {word_count}\")"
   ]
  }
 ],
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  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
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