7-days-of-code-desafio-4.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-04-14T16:03:50.051728Z","iopub.execute_input":"2023-04-14T16:03:50.052234Z","iopub.status.idle":"2023-04-14T16:03:50.105893Z","shell.execute_reply.started":"2023-04-14T16:03:50.052191Z","shell.execute_reply":"2023-04-14T16:03:50.104839Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stdout","text":"/kaggle/input/movielens-100k-dataset/ml-100k/u.occupation\n/kaggle/input/movielens-100k-dataset/ml-100k/u1.base\n/kaggle/input/movielens-100k-dataset/ml-100k/u.info\n/kaggle/input/movielens-100k-dataset/ml-100k/u4.test\n/kaggle/input/movielens-100k-dataset/ml-100k/u.item\n/kaggle/input/movielens-100k-dataset/ml-100k/README\n/kaggle/input/movielens-100k-dataset/ml-100k/u1.test\n/kaggle/input/movielens-100k-dataset/ml-100k/ua.test\n/kaggle/input/movielens-100k-dataset/ml-100k/u.data\n/kaggle/input/movielens-100k-dataset/ml-100k/u5.test\n/kaggle/input/movielens-100k-dataset/ml-100k/mku.sh\n/kaggle/input/movielens-100k-dataset/ml-100k/u5.base\n/kaggle/input/movielens-100k-dataset/ml-100k/u.user\n/kaggle/input/movielens-100k-dataset/ml-100k/ub.base\n/kaggle/input/movielens-100k-dataset/ml-100k/u4.base\n/kaggle/input/movielens-100k-dataset/ml-100k/u2.test\n/kaggle/input/movielens-100k-dataset/ml-100k/ua.base\n/kaggle/input/movielens-100k-dataset/ml-100k/u3.test\n/kaggle/input/movielens-100k-dataset/ml-100k/u.genre\n/kaggle/input/movielens-100k-dataset/ml-100k/allbut.pl\n/kaggle/input/movielens-100k-dataset/ml-100k/u3.base\n/kaggle/input/movielens-100k-dataset/ml-100k/u2.base\n/kaggle/input/movielens-100k-dataset/ml-100k/ub.test\n","output_type":"stream"}]},{"cell_type":"code","source":"filmes = pd.read_csv('/kaggle/input/movielens-100k-dataset/ml-100k/u.item', sep = '|', encoding = 'latin-1', header = None, index_col = False)\nfilmes.head()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:27.448217Z","iopub.execute_input":"2023-04-14T16:05:27.448782Z","iopub.status.idle":"2023-04-14T16:05:27.532220Z","shell.execute_reply.started":"2023-04-14T16:05:27.448743Z","shell.execute_reply":"2023-04-14T16:05:27.531148Z"},"trusted":true},"execution_count":2,"outputs":[{"execution_count":2,"output_type":"execute_result","data":{"text/plain":"   0                  1            2   3   \\\n0   1   Toy Story (1995)  01-Jan-1995 NaN   \n1   2   GoldenEye (1995)  01-Jan-1995 NaN   \n2   3  Four Rooms (1995)  01-Jan-1995 NaN   \n3   4  Get Shorty (1995)  01-Jan-1995 NaN   \n4   5     Copycat (1995)  01-Jan-1995 NaN   \n\n                                                  4   5   6   7   8   9   ...  \\\n0  http://us.imdb.com/M/title-exact?Toy%20Story%2...   0   0   0   1   1  ...   \n1  http://us.imdb.com/M/title-exact?GoldenEye%20(...   0   1   1   0   0  ...   \n2  http://us.imdb.com/M/title-exact?Four%20Rooms%...   0   0   0   0   0  ...   \n3  http://us.imdb.com/M/title-exact?Get%20Shorty%...   0   1   0   0   0  ...   \n4  http://us.imdb.com/M/title-exact?Copycat%20(1995)   0   0   0   0   0  ...   \n\n   14  15  16  17  18  19  20  21  22  23  \n0   0   0   0   0   0   0   0   0   0   0  \n1   0   0   0   0   0   0   0   1   0   0  \n2   0   0   0   0   0   0   0   1   0   0  \n3   0   0   0   0   0   0   0   0   0   0  \n4   0   0   0   0   0   0   0   1   0   0  \n\n[5 rows x 24 columns]","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>0</th>\n      <th>1</th>\n      <th>2</th>\n      <th>3</th>\n      <th>4</th>\n      <th>5</th>\n      <th>6</th>\n      <th>7</th>\n      <th>8</th>\n      <th>9</th>\n      <th>...</th>\n      <th>14</th>\n      <th>15</th>\n      <th>16</th>\n      <th>17</th>\n      <th>18</th>\n      <th>19</th>\n      <th>20</th>\n      <th>21</th>\n      <th>22</th>\n      <th>23</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>Toy Story (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>NaN</td>\n      <td>http://us.imdb.com/M/title-exact?Toy%20Story%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>GoldenEye (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>NaN</td>\n      <td>http://us.imdb.com/M/title-exact?GoldenEye%20(...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>Four Rooms (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>NaN</td>\n      <td>http://us.imdb.com/M/title-exact?Four%20Rooms%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>Get Shorty (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>NaN</td>\n      <td>http://us.imdb.com/M/title-exact?Get%20Shorty%...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>Copycat (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>NaN</td>\n      <td>http://us.imdb.com/M/title-exact?Copycat%20(1995)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 24 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"![image.png](attachment:eb13d3ad-c8a2-4b47-a2ce-5ec379df795e.png)","metadata":{},"attachments":{"eb13d3ad-c8a2-4b47-a2ce-5ec379df795e.png":{"image/png":"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"}}},{"cell_type":"code","source":"filmes.columns = ['movie_id', 'movie_title', 'release_date', 'video_release_date', 'IMDb_URL', 'unknown',\n                 'Action', 'Adventure', 'Animation', 'Children', 'Comedy', 'Crime', 'Documentary', \n                 'Drama', 'Fantasy', 'FilmNoir', 'Horror', 'Musical', 'Mystery', 'Romance', 'SciFi', \n                 'Thriller', 'War', 'Western']\nfilmes.head()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:31.760676Z","iopub.execute_input":"2023-04-14T16:05:31.761295Z","iopub.status.idle":"2023-04-14T16:05:31.790207Z","shell.execute_reply.started":"2023-04-14T16:05:31.761245Z","shell.execute_reply":"2023-04-14T16:05:31.788579Z"},"trusted":true},"execution_count":3,"outputs":[{"execution_count":3,"output_type":"execute_result","data":{"text/plain":"   movie_id        movie_title release_date  video_release_date  \\\n0         1   Toy Story (1995)  01-Jan-1995                 NaN   \n1         2   GoldenEye (1995)  01-Jan-1995                 NaN   \n2         3  Four Rooms (1995)  01-Jan-1995                 NaN   \n3         4  Get Shorty (1995)  01-Jan-1995                 NaN   \n4         5     Copycat (1995)  01-Jan-1995                 NaN   \n\n                                            IMDb_URL  unknown  Action  \\\n0  http://us.imdb.com/M/title-exact?Toy%20Story%2...        0       0   \n1  http://us.imdb.com/M/title-exact?GoldenEye%20(...        0       1   \n2  http://us.imdb.com/M/title-exact?Four%20Rooms%...        0       0   \n3  http://us.imdb.com/M/title-exact?Get%20Shorty%...        0       1   \n4  http://us.imdb.com/M/title-exact?Copycat%20(1995)        0       0   \n\n   Adventure  Animation  Children  ...  Fantasy  FilmNoir  Horror  Musical  \\\n0          0          1         1  ...        0         0       0        0   \n1          1          0         0  ...        0         0       0        0   \n2          0          0         0  ...        0         0       0        0   \n3          0          0         0  ...        0         0       0        0   \n4          0          0         0  ...        0         0       0        0   \n\n   Mystery  Romance  SciFi  Thriller  War  Western  \n0        0        0      0         0    0        0  \n1        0        0      0         1    0        0  \n2        0        0      0         1    0        0  \n3        0        0      0         0    0        0  \n4        0        0      0         1    0        0  \n\n[5 rows x 24 columns]","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>movie_id</th>\n      <th>movie_title</th>\n      <th>release_date</th>\n      <th>video_release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>...</th>\n      <th>Fantasy</th>\n      <th>FilmNoir</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>Toy Story (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>NaN</td>\n      <td>http://us.imdb.com/M/title-exact?Toy%20Story%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>GoldenEye (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>NaN</td>\n      <td>http://us.imdb.com/M/title-exact?GoldenEye%20(...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>Four Rooms (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>NaN</td>\n      <td>http://us.imdb.com/M/title-exact?Four%20Rooms%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>Get Shorty (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>NaN</td>\n      <td>http://us.imdb.com/M/title-exact?Get%20Shorty%...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>Copycat (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>NaN</td>\n      <td>http://us.imdb.com/M/title-exact?Copycat%20(1995)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 24 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"filmes.shape","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:33.080415Z","iopub.execute_input":"2023-04-14T16:05:33.080919Z","iopub.status.idle":"2023-04-14T16:05:33.088224Z","shell.execute_reply.started":"2023-04-14T16:05:33.080875Z","shell.execute_reply":"2023-04-14T16:05:33.087287Z"},"trusted":true},"execution_count":4,"outputs":[{"execution_count":4,"output_type":"execute_result","data":{"text/plain":"(1682, 24)"},"metadata":{}}]},{"cell_type":"code","source":"filmes.info()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:33.753466Z","iopub.execute_input":"2023-04-14T16:05:33.754453Z","iopub.status.idle":"2023-04-14T16:05:33.781314Z","shell.execute_reply.started":"2023-04-14T16:05:33.754401Z","shell.execute_reply":"2023-04-14T16:05:33.779935Z"},"trusted":true},"execution_count":5,"outputs":[{"name":"stdout","text":"<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 1682 entries, 0 to 1681\nData columns (total 24 columns):\n #   Column              Non-Null Count  Dtype  \n---  ------              --------------  -----  \n 0   movie_id            1682 non-null   int64  \n 1   movie_title         1682 non-null   object \n 2   release_date        1681 non-null   object \n 3   video_release_date  0 non-null      float64\n 4   IMDb_URL            1679 non-null   object \n 5   unknown             1682 non-null   int64  \n 6   Action              1682 non-null   int64  \n 7   Adventure           1682 non-null   int64  \n 8   Animation           1682 non-null   int64  \n 9   Children            1682 non-null   int64  \n 10  Comedy              1682 non-null   int64  \n 11  Crime               1682 non-null   int64  \n 12  Documentary         1682 non-null   int64  \n 13  Drama               1682 non-null   int64  \n 14  Fantasy             1682 non-null   int64  \n 15  FilmNoir            1682 non-null   int64  \n 16  Horror              1682 non-null   int64  \n 17  Musical             1682 non-null   int64  \n 18  Mystery             1682 non-null   int64  \n 19  Romance             1682 non-null   int64  \n 20  SciFi               1682 non-null   int64  \n 21  Thriller            1682 non-null   int64  \n 22  War                 1682 non-null   int64  \n 23  Western             1682 non-null   int64  \ndtypes: float64(1), int64(20), object(3)\nmemory usage: 315.5+ KB\n","output_type":"stream"}]},{"cell_type":"code","source":"filmes.video_release_date.unique()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:34.616823Z","iopub.execute_input":"2023-04-14T16:05:34.617350Z","iopub.status.idle":"2023-04-14T16:05:34.628992Z","shell.execute_reply.started":"2023-04-14T16:05:34.617306Z","shell.execute_reply":"2023-04-14T16:05:34.627379Z"},"trusted":true},"execution_count":6,"outputs":[{"execution_count":6,"output_type":"execute_result","data":{"text/plain":"array([nan])"},"metadata":{}}]},{"cell_type":"code","source":"filmes.drop(columns = ['video_release_date'], inplace = True)\nfilmes.head()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:34.949487Z","iopub.execute_input":"2023-04-14T16:05:34.949927Z","iopub.status.idle":"2023-04-14T16:05:34.974456Z","shell.execute_reply.started":"2023-04-14T16:05:34.949887Z","shell.execute_reply":"2023-04-14T16:05:34.973043Z"},"trusted":true},"execution_count":7,"outputs":[{"execution_count":7,"output_type":"execute_result","data":{"text/plain":"   movie_id        movie_title release_date  \\\n0         1   Toy Story (1995)  01-Jan-1995   \n1         2   GoldenEye (1995)  01-Jan-1995   \n2         3  Four Rooms (1995)  01-Jan-1995   \n3         4  Get Shorty (1995)  01-Jan-1995   \n4         5     Copycat (1995)  01-Jan-1995   \n\n                                            IMDb_URL  unknown  Action  \\\n0  http://us.imdb.com/M/title-exact?Toy%20Story%2...        0       0   \n1  http://us.imdb.com/M/title-exact?GoldenEye%20(...        0       1   \n2  http://us.imdb.com/M/title-exact?Four%20Rooms%...        0       0   \n3  http://us.imdb.com/M/title-exact?Get%20Shorty%...        0       1   \n4  http://us.imdb.com/M/title-exact?Copycat%20(1995)        0       0   \n\n   Adventure  Animation  Children  Comedy  ...  Fantasy  FilmNoir  Horror  \\\n0          0          1         1       1  ...        0         0       0   \n1          1          0         0       0  ...        0         0       0   \n2          0          0         0       0  ...        0         0       0   \n3          0          0         0       1  ...        0         0       0   \n4          0          0         0       0  ...        0         0       0   \n\n   Musical  Mystery  Romance  SciFi  Thriller  War  Western  \n0        0        0        0      0         0    0        0  \n1        0        0        0      0         1    0        0  \n2        0        0        0      0         1    0        0  \n3        0        0        0      0         0    0        0  \n4        0        0        0      0         1    0        0  \n\n[5 rows x 23 columns]","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>movie_id</th>\n      <th>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>...</th>\n      <th>Fantasy</th>\n      <th>FilmNoir</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>Toy Story (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Toy%20Story%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>GoldenEye (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?GoldenEye%20(...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>Four Rooms (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Four%20Rooms%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>Get Shorty (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Get%20Shorty%...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>Copycat (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Copycat%20(1995)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 23 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"![image.png](attachment:8b4ec89d-e5ba-4e7e-b5b4-c948aae19469.png)","metadata":{},"attachments":{"8b4ec89d-e5ba-4e7e-b5b4-c948aae19469.png":{"image/png":"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"}}},{"cell_type":"code","source":"notas = pd.read_csv('/kaggle/input/movielens-100k-dataset/ml-100k/u.data', encoding = 'latin-1', sep = \"\\t\", header = None, index_col = False)\nnotas.columns = ['user_id', 'item_id', 'rating', 'timestamp']\nnotas.head()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:36.257179Z","iopub.execute_input":"2023-04-14T16:05:36.257661Z","iopub.status.idle":"2023-04-14T16:05:36.372136Z","shell.execute_reply.started":"2023-04-14T16:05:36.257617Z","shell.execute_reply":"2023-04-14T16:05:36.370755Z"},"trusted":true},"execution_count":8,"outputs":[{"execution_count":8,"output_type":"execute_result","data":{"text/plain":"   user_id  item_id  rating  timestamp\n0      196      242       3  881250949\n1      186      302       3  891717742\n2       22      377       1  878887116\n3      244       51       2  880606923\n4      166      346       1  886397596","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>user_id</th>\n      <th>item_id</th>\n      <th>rating</th>\n      <th>timestamp</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>196</td>\n      <td>242</td>\n      <td>3</td>\n      <td>881250949</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>186</td>\n      <td>302</td>\n      <td>3</td>\n      <td>891717742</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>22</td>\n      <td>377</td>\n      <td>1</td>\n      <td>878887116</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>244</td>\n      <td>51</td>\n      <td>2</td>\n      <td>880606923</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>166</td>\n      <td>346</td>\n      <td>1</td>\n      <td>886397596</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"notas.shape","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:36.935899Z","iopub.execute_input":"2023-04-14T16:05:36.936398Z","iopub.status.idle":"2023-04-14T16:05:36.944308Z","shell.execute_reply.started":"2023-04-14T16:05:36.936354Z","shell.execute_reply":"2023-04-14T16:05:36.942702Z"},"trusted":true},"execution_count":9,"outputs":[{"execution_count":9,"output_type":"execute_result","data":{"text/plain":"(100000, 4)"},"metadata":{}}]},{"cell_type":"code","source":"notas.info()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:37.561501Z","iopub.execute_input":"2023-04-14T16:05:37.562009Z","iopub.status.idle":"2023-04-14T16:05:37.579487Z","shell.execute_reply.started":"2023-04-14T16:05:37.561966Z","shell.execute_reply":"2023-04-14T16:05:37.577889Z"},"trusted":true},"execution_count":10,"outputs":[{"name":"stdout","text":"<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 100000 entries, 0 to 99999\nData columns (total 4 columns):\n #   Column     Non-Null Count   Dtype\n---  ------     --------------   -----\n 0   user_id    100000 non-null  int64\n 1   item_id    100000 non-null  int64\n 2   rating     100000 non-null  int64\n 3   timestamp  100000 non-null  int64\ndtypes: int64(4)\nmemory usage: 3.1 MB\n","output_type":"stream"}]},{"cell_type":"code","source":"notas.describe()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:38.200355Z","iopub.execute_input":"2023-04-14T16:05:38.201914Z","iopub.status.idle":"2023-04-14T16:05:38.245519Z","shell.execute_reply.started":"2023-04-14T16:05:38.201855Z","shell.execute_reply":"2023-04-14T16:05:38.244075Z"},"trusted":true},"execution_count":11,"outputs":[{"execution_count":11,"output_type":"execute_result","data":{"text/plain":"            user_id        item_id         rating     timestamp\ncount  100000.00000  100000.000000  100000.000000  1.000000e+05\nmean      462.48475     425.530130       3.529860  8.835289e+08\nstd       266.61442     330.798356       1.125674  5.343856e+06\nmin         1.00000       1.000000       1.000000  8.747247e+08\n25%       254.00000     175.000000       3.000000  8.794487e+08\n50%       447.00000     322.000000       4.000000  8.828269e+08\n75%       682.00000     631.000000       4.000000  8.882600e+08\nmax       943.00000    1682.000000       5.000000  8.932866e+08","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>user_id</th>\n      <th>item_id</th>\n      <th>rating</th>\n      <th>timestamp</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>100000.00000</td>\n      <td>100000.000000</td>\n      <td>100000.000000</td>\n      <td>1.000000e+05</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>462.48475</td>\n      <td>425.530130</td>\n      <td>3.529860</td>\n      <td>8.835289e+08</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>266.61442</td>\n      <td>330.798356</td>\n      <td>1.125674</td>\n      <td>5.343856e+06</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>1.00000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>8.747247e+08</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>254.00000</td>\n      <td>175.000000</td>\n      <td>3.000000</td>\n      <td>8.794487e+08</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>447.00000</td>\n      <td>322.000000</td>\n      <td>4.000000</td>\n      <td>8.828269e+08</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>682.00000</td>\n      <td>631.000000</td>\n      <td>4.000000</td>\n      <td>8.882600e+08</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>943.00000</td>\n      <td>1682.000000</td>\n      <td>5.000000</td>\n      <td>8.932866e+08</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Escolhendo o ID dos filmes como index\nfilmes = filmes.set_index('movie_id')\n\n# Selecionando um filme através do seu ID (escolhendo pelo horário que estou digitando esta linha)\nfilmes.loc[1143]","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:38.800690Z","iopub.execute_input":"2023-04-14T16:05:38.801197Z","iopub.status.idle":"2023-04-14T16:05:38.813395Z","shell.execute_reply.started":"2023-04-14T16:05:38.801155Z","shell.execute_reply":"2023-04-14T16:05:38.811821Z"},"trusted":true},"execution_count":12,"outputs":[{"execution_count":12,"output_type":"execute_result","data":{"text/plain":"movie_title                              Hard Eight (1996)\nrelease_date                                   28-Feb-1997\nIMDb_URL        http://us.imdb.com/Title?Hard+Eight+(1996)\nunknown                                                  0\nAction                                                   0\nAdventure                                                0\nAnimation                                                0\nChildren                                                 0\nComedy                                                   0\nCrime                                                    1\nDocumentary                                              0\nDrama                                                    0\nFantasy                                                  0\nFilmNoir                                                 0\nHorror                                                   0\nMusical                                                  0\nMystery                                                  0\nRomance                                                  0\nSciFi                                                    0\nThriller                                                 1\nWar                                                      0\nWestern                                                  0\nName: 1143, dtype: object"},"metadata":{}}]},{"cell_type":"markdown","source":"# Verificando o total de votos de cada filme:","metadata":{}},{"cell_type":"code","source":"total_de_votos = notas['item_id'].value_counts()\ntotal_de_votos.head()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:40.145248Z","iopub.execute_input":"2023-04-14T16:05:40.145699Z","iopub.status.idle":"2023-04-14T16:05:40.156864Z","shell.execute_reply.started":"2023-04-14T16:05:40.145655Z","shell.execute_reply":"2023-04-14T16:05:40.155918Z"},"trusted":true},"execution_count":13,"outputs":[{"execution_count":13,"output_type":"execute_result","data":{"text/plain":"50     583\n258    509\n100    508\n181    507\n294    485\nName: item_id, dtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"filmes['Total_de_votos'] = total_de_votos\nfilmes.head()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:40.776068Z","iopub.execute_input":"2023-04-14T16:05:40.776900Z","iopub.status.idle":"2023-04-14T16:05:40.803732Z","shell.execute_reply.started":"2023-04-14T16:05:40.776824Z","shell.execute_reply":"2023-04-14T16:05:40.802438Z"},"trusted":true},"execution_count":14,"outputs":[{"execution_count":14,"output_type":"execute_result","data":{"text/plain":"                movie_title release_date  \\\nmovie_id                                   \n1          Toy Story (1995)  01-Jan-1995   \n2          GoldenEye (1995)  01-Jan-1995   \n3         Four Rooms (1995)  01-Jan-1995   \n4         Get Shorty (1995)  01-Jan-1995   \n5            Copycat (1995)  01-Jan-1995   \n\n                                                   IMDb_URL  unknown  Action  \\\nmovie_id                                                                       \n1         http://us.imdb.com/M/title-exact?Toy%20Story%2...        0       0   \n2         http://us.imdb.com/M/title-exact?GoldenEye%20(...        0       1   \n3         http://us.imdb.com/M/title-exact?Four%20Rooms%...        0       0   \n4         http://us.imdb.com/M/title-exact?Get%20Shorty%...        0       1   \n5         http://us.imdb.com/M/title-exact?Copycat%20(1995)        0       0   \n\n          Adventure  Animation  Children  Comedy  Crime  ...  FilmNoir  \\\nmovie_id                                                 ...             \n1                 0          1         1       1      0  ...         0   \n2                 1          0         0       0      0  ...         0   \n3                 0          0         0       0      0  ...         0   \n4                 0          0         0       1      0  ...         0   \n5                 0          0         0       0      1  ...         0   \n\n          Horror  Musical  Mystery  Romance  SciFi  Thriller  War  Western  \\\nmovie_id                                                                     \n1              0        0        0        0      0         0    0        0   \n2              0        0        0        0      0         1    0        0   \n3              0        0        0        0      0         1    0        0   \n4              0        0        0        0      0         0    0        0   \n5              0        0        0        0      0         1    0        0   \n\n          Total_de_votos  \nmovie_id                  \n1                    452  \n2                    131  \n3                     90  \n4                    209  \n5                     86  \n\n[5 rows x 23 columns]","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>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>Crime</th>\n      <th>...</th>\n      <th>FilmNoir</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n    </tr>\n    <tr>\n      <th>movie_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>Toy Story (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Toy%20Story%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>452</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>GoldenEye (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?GoldenEye%20(...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>131</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Four Rooms (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Four%20Rooms%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>90</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Get Shorty (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Get%20Shorty%...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>209</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Copycat (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Copycat%20(1995)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>86</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 23 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"filmes.sort_values('Total_de_votos', ascending = False)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:41.488676Z","iopub.execute_input":"2023-04-14T16:05:41.489184Z","iopub.status.idle":"2023-04-14T16:05:41.522647Z","shell.execute_reply.started":"2023-04-14T16:05:41.489144Z","shell.execute_reply":"2023-04-14T16:05:41.521142Z"},"trusted":true},"execution_count":15,"outputs":[{"execution_count":15,"output_type":"execute_result","data":{"text/plain":"                                                movie_title release_date  \\\nmovie_id                                                                   \n50                                         Star Wars (1977)  01-Jan-1977   \n258                                          Contact (1997)  11-Jul-1997   \n100                                            Fargo (1996)  14-Feb-1997   \n181                               Return of the Jedi (1983)  14-Mar-1997   \n294                                        Liar Liar (1997)  21-Mar-1997   \n...                                                     ...          ...   \n1576                         Hungarian Fairy Tale, A (1987)  01-Jan-1987   \n1577      Death in the Garden (Mort en ce jardin, La) (1...  01-Jan-1956   \n1348                             Every Other Weekend (1990)  01-Jan-1990   \n1579                                     Baton Rouge (1988)  01-Jan-1988   \n1682              Scream of Stone (Schrei aus Stein) (1991)  08-Mar-1996   \n\n                                                   IMDb_URL  unknown  Action  \\\nmovie_id                                                                       \n50        http://us.imdb.com/M/title-exact?Star%20Wars%2...        0       1   \n258               http://us.imdb.com/Title?Contact+(1997/I)        0       0   \n100         http://us.imdb.com/M/title-exact?Fargo%20(1996)        0       0   \n181       http://us.imdb.com/M/title-exact?Return%20of%2...        0       1   \n294               http://us.imdb.com/Title?Liar+Liar+(1997)        0       0   \n...                                                     ...      ...     ...   \n1576      http://us.imdb.com/M/title-exact?Hol%20volt,%2...        0       0   \n1577      http://us.imdb.com/Title?Mort+en+ce+jardin,+La...        0       0   \n1348      http://us.imdb.com/Title?Un+week-end+sur+deux+...        0       0   \n1579          http://us.imdb.com/Title?B%E2ton+rouge+(1988)        0       0   \n1682      http://us.imdb.com/M/title-exact?Schrei%20aus%...        0       0   \n\n          Adventure  Animation  Children  Comedy  Crime  ...  FilmNoir  \\\nmovie_id                                                 ...             \n50                1          0         0       0      0  ...         0   \n258               0          0         0       0      0  ...         0   \n100               0          0         0       0      1  ...         0   \n181               1          0         0       0      0  ...         0   \n294               0          0         0       1      0  ...         0   \n...             ...        ...       ...     ...    ...  ...       ...   \n1576              0          0         0       0      0  ...         0   \n1577              0          0         0       0      0  ...         0   \n1348              0          0         0       0      0  ...         0   \n1579              0          0         0       0      0  ...         0   \n1682              0          0         0       0      0  ...         0   \n\n          Horror  Musical  Mystery  Romance  SciFi  Thriller  War  Western  \\\nmovie_id                                                                     \n50             0        0        0        1      1         0    1        0   \n258            0        0        0        0      1         0    0        0   \n100            0        0        0        0      0         1    0        0   \n181            0        0        0        1      1         0    1        0   \n294            0        0        0        0      0         0    0        0   \n...          ...      ...      ...      ...    ...       ...  ...      ...   \n1576           0        0        0        0      0         0    0        0   \n1577           0        0        0        0      0         0    0        0   \n1348           0        0        0        0      0         0    0        0   \n1579           0        0        0        0      0         1    0        0   \n1682           0        0        0        0      0         0    0        0   \n\n          Total_de_votos  \nmovie_id                  \n50                   583  \n258                  509  \n100                  508  \n181                  507  \n294                  485  \n...                  ...  \n1576                   1  \n1577                   1  \n1348                   1  \n1579                   1  \n1682                   1  \n\n[1682 rows x 23 columns]","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>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>Crime</th>\n      <th>...</th>\n      <th>FilmNoir</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n    </tr>\n    <tr>\n      <th>movie_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>50</th>\n      <td>Star Wars (1977)</td>\n      <td>01-Jan-1977</td>\n      <td>http://us.imdb.com/M/title-exact?Star%20Wars%2...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>583</td>\n    </tr>\n    <tr>\n      <th>258</th>\n      <td>Contact (1997)</td>\n      <td>11-Jul-1997</td>\n      <td>http://us.imdb.com/Title?Contact+(1997/I)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>509</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>Fargo (1996)</td>\n      <td>14-Feb-1997</td>\n      <td>http://us.imdb.com/M/title-exact?Fargo%20(1996)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>508</td>\n    </tr>\n    <tr>\n      <th>181</th>\n      <td>Return of the Jedi (1983)</td>\n      <td>14-Mar-1997</td>\n      <td>http://us.imdb.com/M/title-exact?Return%20of%2...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>507</td>\n    </tr>\n    <tr>\n      <th>294</th>\n      <td>Liar Liar (1997)</td>\n      <td>21-Mar-1997</td>\n      <td>http://us.imdb.com/Title?Liar+Liar+(1997)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>485</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1576</th>\n      <td>Hungarian Fairy Tale, A (1987)</td>\n      <td>01-Jan-1987</td>\n      <td>http://us.imdb.com/M/title-exact?Hol%20volt,%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1577</th>\n      <td>Death in the Garden (Mort en ce jardin, La) (1...</td>\n      <td>01-Jan-1956</td>\n      <td>http://us.imdb.com/Title?Mort+en+ce+jardin,+La...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1348</th>\n      <td>Every Other Weekend (1990)</td>\n      <td>01-Jan-1990</td>\n      <td>http://us.imdb.com/Title?Un+week-end+sur+deux+...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1579</th>\n      <td>Baton Rouge (1988)</td>\n      <td>01-Jan-1988</td>\n      <td>http://us.imdb.com/Title?B%E2ton+rouge+(1988)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1682</th>\n      <td>Scream of Stone (Schrei aus Stein) (1991)</td>\n      <td>08-Mar-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Schrei%20aus%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>1682 rows × 23 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"# Verificando a nota média dos filmes:","metadata":{}},{"cell_type":"code","source":"notas_medias = notas.groupby(\"item_id\").mean()['rating']\nnotas_medias.head()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:43.079799Z","iopub.execute_input":"2023-04-14T16:05:43.080243Z","iopub.status.idle":"2023-04-14T16:05:43.099102Z","shell.execute_reply.started":"2023-04-14T16:05:43.080203Z","shell.execute_reply":"2023-04-14T16:05:43.097863Z"},"trusted":true},"execution_count":16,"outputs":[{"execution_count":16,"output_type":"execute_result","data":{"text/plain":"item_id\n1    3.878319\n2    3.206107\n3    3.033333\n4    3.550239\n5    3.302326\nName: rating, dtype: float64"},"metadata":{}}]},{"cell_type":"code","source":"filmes['nota_media'] = notas_medias\nfilmes.head()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:43.752838Z","iopub.execute_input":"2023-04-14T16:05:43.753318Z","iopub.status.idle":"2023-04-14T16:05:43.779201Z","shell.execute_reply.started":"2023-04-14T16:05:43.753279Z","shell.execute_reply":"2023-04-14T16:05:43.777925Z"},"trusted":true},"execution_count":17,"outputs":[{"execution_count":17,"output_type":"execute_result","data":{"text/plain":"                movie_title release_date  \\\nmovie_id                                   \n1          Toy Story (1995)  01-Jan-1995   \n2          GoldenEye (1995)  01-Jan-1995   \n3         Four Rooms (1995)  01-Jan-1995   \n4         Get Shorty (1995)  01-Jan-1995   \n5            Copycat (1995)  01-Jan-1995   \n\n                                                   IMDb_URL  unknown  Action  \\\nmovie_id                                                                       \n1         http://us.imdb.com/M/title-exact?Toy%20Story%2...        0       0   \n2         http://us.imdb.com/M/title-exact?GoldenEye%20(...        0       1   \n3         http://us.imdb.com/M/title-exact?Four%20Rooms%...        0       0   \n4         http://us.imdb.com/M/title-exact?Get%20Shorty%...        0       1   \n5         http://us.imdb.com/M/title-exact?Copycat%20(1995)        0       0   \n\n          Adventure  Animation  Children  Comedy  Crime  ...  Horror  Musical  \\\nmovie_id                                                 ...                    \n1                 0          1         1       1      0  ...       0        0   \n2                 1          0         0       0      0  ...       0        0   \n3                 0          0         0       0      0  ...       0        0   \n4                 0          0         0       1      0  ...       0        0   \n5                 0          0         0       0      1  ...       0        0   \n\n          Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nmovie_id                                                                    \n1               0        0      0         0    0        0             452   \n2               0        0      0         1    0        0             131   \n3               0        0      0         1    0        0              90   \n4               0        0      0         0    0        0             209   \n5               0        0      0         1    0        0              86   \n\n          nota_media  \nmovie_id              \n1           3.878319  \n2           3.206107  \n3           3.033333  \n4           3.550239  \n5           3.302326  \n\n[5 rows x 24 columns]","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>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>Crime</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>movie_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>Toy Story (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Toy%20Story%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>452</td>\n      <td>3.878319</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>GoldenEye (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?GoldenEye%20(...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>131</td>\n      <td>3.206107</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Four Rooms (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Four%20Rooms%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>90</td>\n      <td>3.033333</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Get Shorty (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Get%20Shorty%...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>209</td>\n      <td>3.550239</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Copycat (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Copycat%20(1995)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>86</td>\n      <td>3.302326</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 24 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"filmes.sort_values(\"nota_media\", ascending = False).head(15)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:44.454995Z","iopub.execute_input":"2023-04-14T16:05:44.456156Z","iopub.status.idle":"2023-04-14T16:05:44.486690Z","shell.execute_reply.started":"2023-04-14T16:05:44.456097Z","shell.execute_reply":"2023-04-14T16:05:44.485438Z"},"trusted":true},"execution_count":18,"outputs":[{"execution_count":18,"output_type":"execute_result","data":{"text/plain":"                                                movie_title release_date  \\\nmovie_id                                                                   \n814                           Great Day in Harlem, A (1994)  01-Jan-1994   \n1599                          Someone Else's America (1995)  10-May-1996   \n1201             Marlene Dietrich: Shadow and Light (1996)   02-Apr-1996   \n1122                         They Made Me a Criminal (1939)  01-Jan-1939   \n1653      Entertaining Angels: The Dorothy Day Story (1996)  27-Sep-1996   \n1293                                        Star Kid (1997)  16-Jan-1998   \n1500                              Santa with Muscles (1996)  08-Nov-1996   \n1189                                     Prefontaine (1997)  24-Jan-1997   \n1536                                   Aiqing wansui (1994)  22-Jul-1996   \n1467                   Saint of Fort Washington, The (1993)  01-Jan-1993   \n1449                                 Pather Panchali (1955)  22-Mar-1996   \n119                  Maya Lin: A Strong Clear Vision (1994)  01-Jan-1994   \n1398                                            Anna (1996)  13-Nov-1996   \n1642                               Some Mother's Son (1996)  27-Dec-1996   \n1594                                         Everest (1998)  10-Mar-1998   \n\n                                                   IMDb_URL  unknown  Action  \\\nmovie_id                                                                       \n814       http://us.imdb.com/M/title-exact?Great%20Day%2...        0       0   \n1599      http://us.imdb.com/M/title-exact?Someone%20Els...        0       0   \n1201      http://us.imdb.com/M/title-exact?Marlene%20Die...        0       0   \n1122      http://us.imdb.com/M/title-exact?They%20Made%2...        0       0   \n1653      http://us.imdb.com/M/title-exact?Entertaining%...        0       0   \n1293      http://us.imdb.com/M/title-exact?imdb-title-12...        0       0   \n1500      http://us.imdb.com/M/title-exact?Santa%20with%...        0       0   \n1189      http://us.imdb.com/M/title-exact?Prefontaine%2...        0       0   \n1536      http://us.imdb.com/M/title-exact?Aiqing%20Wans...        0       0   \n1467      http://us.imdb.com/M/title-exact?Saint%20of%20...        0       0   \n1449      http://us.imdb.com/M/title-exact?Pather%20Panc...        0       0   \n119       http://us.imdb.com/M/title-exact?Maya%20Lin:%2...        0       0   \n1398         http://us.imdb.com/M/title-exact?Anna%20(1996)        0       0   \n1642      http://us.imdb.com/M/title-exact?Some%20Mother...        0       0   \n1594                http://us.imdb.com/Title?Everest+(1998)        0       0   \n\n          Adventure  Animation  Children  Comedy  Crime  ...  Horror  Musical  \\\nmovie_id                                                 ...                    \n814               0          0         0       0      0  ...       0        0   \n1599              0          0         0       0      0  ...       0        0   \n1201              0          0         0       0      0  ...       0        0   \n1122              0          0         0       0      1  ...       0        0   \n1653              0          0         0       0      0  ...       0        0   \n1293              1          0         1       0      0  ...       0        0   \n1500              0          0         0       1      0  ...       0        0   \n1189              0          0         0       0      0  ...       0        0   \n1536              0          0         0       0      0  ...       0        0   \n1467              0          0         0       0      0  ...       0        0   \n1449              0          0         0       0      0  ...       0        0   \n119               0          0         0       0      0  ...       0        0   \n1398              0          0         0       0      0  ...       0        0   \n1642              0          0         0       0      0  ...       0        0   \n1594              0          0         0       0      0  ...       0        0   \n\n          Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nmovie_id                                                                    \n814             0        0      0         0    0        0               1   \n1599            0        0      0         0    0        0               1   \n1201            0        0      0         0    0        0               1   \n1122            0        0      0         0    0        0               1   \n1653            0        0      0         0    0        0               1   \n1293            0        0      1         0    0        0               3   \n1500            0        0      0         0    0        0               2   \n1189            0        0      0         0    0        0               3   \n1536            0        0      0         0    0        0               1   \n1467            0        0      0         0    0        0               2   \n1449            0        0      0         0    0        0               8   \n119             0        0      0         0    0        0               4   \n1398            0        0      0         0    0        0               2   \n1642            0        0      0         0    0        0               2   \n1594            0        0      0         0    0        0               2   \n\n          nota_media  \nmovie_id              \n814            5.000  \n1599           5.000  \n1201           5.000  \n1122           5.000  \n1653           5.000  \n1293           5.000  \n1500           5.000  \n1189           5.000  \n1536           5.000  \n1467           5.000  \n1449           4.625  \n119            4.500  \n1398           4.500  \n1642           4.500  \n1594           4.500  \n\n[15 rows x 24 columns]","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>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>Crime</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>movie_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>814</th>\n      <td>Great Day in Harlem, A (1994)</td>\n      <td>01-Jan-1994</td>\n      <td>http://us.imdb.com/M/title-exact?Great%20Day%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>5.000</td>\n    </tr>\n    <tr>\n      <th>1599</th>\n      <td>Someone Else's America (1995)</td>\n      <td>10-May-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Someone%20Els...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>5.000</td>\n    </tr>\n    <tr>\n      <th>1201</th>\n      <td>Marlene Dietrich: Shadow and Light (1996)</td>\n      <td>02-Apr-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Marlene%20Die...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>5.000</td>\n    </tr>\n    <tr>\n      <th>1122</th>\n      <td>They Made Me a Criminal (1939)</td>\n      <td>01-Jan-1939</td>\n      <td>http://us.imdb.com/M/title-exact?They%20Made%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>5.000</td>\n    </tr>\n    <tr>\n      <th>1653</th>\n      <td>Entertaining Angels: The Dorothy Day Story (1996)</td>\n      <td>27-Sep-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Entertaining%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>5.000</td>\n    </tr>\n    <tr>\n      <th>1293</th>\n      <td>Star Kid (1997)</td>\n      <td>16-Jan-1998</td>\n      <td>http://us.imdb.com/M/title-exact?imdb-title-12...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>5.000</td>\n    </tr>\n    <tr>\n      <th>1500</th>\n      <td>Santa with Muscles (1996)</td>\n      <td>08-Nov-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Santa%20with%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>5.000</td>\n    </tr>\n    <tr>\n      <th>1189</th>\n      <td>Prefontaine (1997)</td>\n      <td>24-Jan-1997</td>\n      <td>http://us.imdb.com/M/title-exact?Prefontaine%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>5.000</td>\n    </tr>\n    <tr>\n      <th>1536</th>\n      <td>Aiqing wansui (1994)</td>\n      <td>22-Jul-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Aiqing%20Wans...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>5.000</td>\n    </tr>\n    <tr>\n      <th>1467</th>\n      <td>Saint of Fort Washington, The (1993)</td>\n      <td>01-Jan-1993</td>\n      <td>http://us.imdb.com/M/title-exact?Saint%20of%20...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>5.000</td>\n    </tr>\n    <tr>\n      <th>1449</th>\n      <td>Pather Panchali (1955)</td>\n      <td>22-Mar-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Pather%20Panc...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8</td>\n      <td>4.625</td>\n    </tr>\n    <tr>\n      <th>119</th>\n      <td>Maya Lin: A Strong Clear Vision (1994)</td>\n      <td>01-Jan-1994</td>\n      <td>http://us.imdb.com/M/title-exact?Maya%20Lin:%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4</td>\n      <td>4.500</td>\n    </tr>\n    <tr>\n      <th>1398</th>\n      <td>Anna (1996)</td>\n      <td>13-Nov-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Anna%20(1996)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>4.500</td>\n    </tr>\n    <tr>\n      <th>1642</th>\n      <td>Some Mother's Son (1996)</td>\n      <td>27-Dec-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Some%20Mother...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>4.500</td>\n    </tr>\n    <tr>\n      <th>1594</th>\n      <td>Everest (1998)</td>\n      <td>10-Mar-1998</td>\n      <td>http://us.imdb.com/Title?Everest+(1998)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>4.500</td>\n    </tr>\n  </tbody>\n</table>\n<p>15 rows × 24 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"filmes.query('Total_de_votos >= 10').sort_values('nota_media', ascending = False)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:45.128057Z","iopub.execute_input":"2023-04-14T16:05:45.129065Z","iopub.status.idle":"2023-04-14T16:05:45.162228Z","shell.execute_reply.started":"2023-04-14T16:05:45.128990Z","shell.execute_reply":"2023-04-14T16:05:45.160988Z"},"trusted":true},"execution_count":19,"outputs":[{"execution_count":19,"output_type":"execute_result","data":{"text/plain":"                                                movie_title release_date  \\\nmovie_id                                                                   \n408                                   Close Shave, A (1995)  28-Apr-1996   \n318                                 Schindler's List (1993)  01-Jan-1993   \n169                              Wrong Trousers, The (1993)  01-Jan-1993   \n483                                       Casablanca (1942)  01-Jan-1942   \n114       Wallace & Gromit: The Best of Aardman Animatio...  05-Apr-1996   \n...                                                     ...          ...   \n758               Lawnmower Man 2: Beyond Cyberspace (1996)  01-Jan-1996   \n1087                                    Bloodsport 2 (1995)  01-Mar-1996   \n440                    Amityville II: The Possession (1982)  01-Jan-1982   \n669                                       Body Parts (1991)  01-Jan-1991   \n424              Children of the Corn: The Gathering (1996)  01-Jan-1996   \n\n                                                   IMDb_URL  unknown  Action  \\\nmovie_id                                                                       \n408       http://us.imdb.com/M/title-exact?Close%20Shave...        0       0   \n318       http://us.imdb.com/M/title-exact?Schindler's%2...        0       0   \n169       http://us.imdb.com/M/title-exact?Wrong%20Trous...        0       0   \n483       http://us.imdb.com/M/title-exact?Casablanca%20...        0       0   \n114       http://us.imdb.com/Title?Wallace+%26+Gromit%3A...        0       0   \n...                                                     ...      ...     ...   \n758       http://us.imdb.com/M/title-exact?Lawnmower%20M...        0       0   \n1087      http://us.imdb.com/M/title-exact?Bloodsport%20...        0       1   \n440       http://us.imdb.com/M/title-exact?Amityville%20...        0       0   \n669       http://us.imdb.com/M/title-exact?Body%20Parts%...        0       0   \n424       http://us.imdb.com/M/title-exact?Children%20of...        0       0   \n\n          Adventure  Animation  Children  Comedy  Crime  ...  Horror  Musical  \\\nmovie_id                                                 ...                    \n408               0          1         0       1      0  ...       0        0   \n318               0          0         0       0      0  ...       0        0   \n169               0          1         0       1      0  ...       0        0   \n483               0          0         0       0      0  ...       0        0   \n114               0          1         0       0      0  ...       0        0   \n...             ...        ...       ...     ...    ...  ...     ...      ...   \n758               0          0         0       0      0  ...       0        0   \n1087              0          0         0       0      0  ...       0        0   \n440               0          0         0       0      0  ...       1        0   \n669               0          0         0       0      0  ...       1        0   \n424               0          0         0       0      0  ...       1        0   \n\n          Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nmovie_id                                                                    \n408             0        0      0         1    0        0             112   \n318             0        0      0         0    1        0             298   \n169             0        0      0         0    0        0             118   \n483             0        1      0         0    1        0             243   \n114             0        0      0         0    0        0              67   \n...           ...      ...    ...       ...  ...      ...             ...   \n758             0        0      1         1    0        0              21   \n1087            0        0      0         0    0        0              10   \n440             0        0      0         0    0        0              14   \n669             0        0      0         0    0        0              13   \n424             0        0      0         0    0        0              19   \n\n          nota_media  \nmovie_id              \n408         4.491071  \n318         4.466443  \n169         4.466102  \n483         4.456790  \n114         4.447761  \n...              ...  \n758         1.714286  \n1087        1.700000  \n440         1.642857  \n669         1.615385  \n424         1.315789  \n\n[1152 rows x 24 columns]","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>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>Crime</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>movie_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>408</th>\n      <td>Close Shave, A (1995)</td>\n      <td>28-Apr-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Close%20Shave...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>112</td>\n      <td>4.491071</td>\n    </tr>\n    <tr>\n      <th>318</th>\n      <td>Schindler's List (1993)</td>\n      <td>01-Jan-1993</td>\n      <td>http://us.imdb.com/M/title-exact?Schindler's%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>298</td>\n      <td>4.466443</td>\n    </tr>\n    <tr>\n      <th>169</th>\n      <td>Wrong Trousers, The (1993)</td>\n      <td>01-Jan-1993</td>\n      <td>http://us.imdb.com/M/title-exact?Wrong%20Trous...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>118</td>\n      <td>4.466102</td>\n    </tr>\n    <tr>\n      <th>483</th>\n      <td>Casablanca (1942)</td>\n      <td>01-Jan-1942</td>\n      <td>http://us.imdb.com/M/title-exact?Casablanca%20...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>243</td>\n      <td>4.456790</td>\n    </tr>\n    <tr>\n      <th>114</th>\n      <td>Wallace &amp; Gromit: The Best of Aardman Animatio...</td>\n      <td>05-Apr-1996</td>\n      <td>http://us.imdb.com/Title?Wallace+%26+Gromit%3A...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>67</td>\n      <td>4.447761</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>758</th>\n      <td>Lawnmower Man 2: Beyond Cyberspace (1996)</td>\n      <td>01-Jan-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Lawnmower%20M...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>21</td>\n      <td>1.714286</td>\n    </tr>\n    <tr>\n      <th>1087</th>\n      <td>Bloodsport 2 (1995)</td>\n      <td>01-Mar-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Bloodsport%20...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>10</td>\n      <td>1.700000</td>\n    </tr>\n    <tr>\n      <th>440</th>\n      <td>Amityville II: The Possession (1982)</td>\n      <td>01-Jan-1982</td>\n      <td>http://us.imdb.com/M/title-exact?Amityville%20...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>14</td>\n      <td>1.642857</td>\n    </tr>\n    <tr>\n      <th>669</th>\n      <td>Body Parts (1991)</td>\n      <td>01-Jan-1991</td>\n      <td>http://us.imdb.com/M/title-exact?Body%20Parts%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>13</td>\n      <td>1.615385</td>\n    </tr>\n    <tr>\n      <th>424</th>\n      <td>Children of the Corn: The Gathering (1996)</td>\n      <td>01-Jan-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Children%20of...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>19</td>\n      <td>1.315789</td>\n    </tr>\n  </tbody>\n</table>\n<p>1152 rows × 24 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"Fazer a recomendação somente pela média das notas não é uma boa saída, porque filmes desconhecidos podem receber poucas avaliações que o classificam melhor do que os outros e isso faz com que a nota não represente de forma adequada sua avaliação.","metadata":{}},{"cell_type":"code","source":"filmes.Total_de_votos.min()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:46.496334Z","iopub.execute_input":"2023-04-14T16:05:46.496803Z","iopub.status.idle":"2023-04-14T16:05:46.504413Z","shell.execute_reply.started":"2023-04-14T16:05:46.496765Z","shell.execute_reply":"2023-04-14T16:05:46.503356Z"},"trusted":true},"execution_count":20,"outputs":[{"execution_count":20,"output_type":"execute_result","data":{"text/plain":"1"},"metadata":{}}]},{"cell_type":"code","source":"filmes.Total_de_votos.max()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:47.319361Z","iopub.execute_input":"2023-04-14T16:05:47.320183Z","iopub.status.idle":"2023-04-14T16:05:47.327671Z","shell.execute_reply.started":"2023-04-14T16:05:47.320133Z","shell.execute_reply":"2023-04-14T16:05:47.326448Z"},"trusted":true},"execution_count":21,"outputs":[{"execution_count":21,"output_type":"execute_result","data":{"text/plain":"583"},"metadata":{}}]},{"cell_type":"markdown","source":"Sabendo o valor mínimo e máximo que os filmes receberam, decidi trabalhar somente com aqueles que tiveram no mínimo 50 avaliações.","metadata":{}},{"cell_type":"code","source":"filmes_com_mais_de_50_votos = filmes.query('Total_de_votos >= 50')\nfilmes_com_mais_de_50_votos.sort_values('nota_media', ascending = False)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:49.482398Z","iopub.execute_input":"2023-04-14T16:05:49.482901Z","iopub.status.idle":"2023-04-14T16:05:49.517881Z","shell.execute_reply.started":"2023-04-14T16:05:49.482858Z","shell.execute_reply":"2023-04-14T16:05:49.516565Z"},"trusted":true},"execution_count":22,"outputs":[{"execution_count":22,"output_type":"execute_result","data":{"text/plain":"                                                movie_title release_date  \\\nmovie_id                                                                   \n408                                   Close Shave, A (1995)  28-Apr-1996   \n318                                 Schindler's List (1993)  01-Jan-1993   \n169                              Wrong Trousers, The (1993)  01-Jan-1993   \n483                                       Casablanca (1942)  01-Jan-1942   \n114       Wallace & Gromit: The Best of Aardman Animatio...  05-Apr-1996   \n...                                                     ...          ...   \n122                                   Cable Guy, The (1996)  14-Jun-1996   \n988                    Beautician and the Beast, The (1997)  07-Feb-1997   \n120                                       Striptease (1996)  28-Jun-1996   \n687                                    McHale's Navy (1997)  18-Apr-1997   \n931                        Island of Dr. Moreau, The (1996)  23-Aug-1996   \n\n                                                   IMDb_URL  unknown  Action  \\\nmovie_id                                                                       \n408       http://us.imdb.com/M/title-exact?Close%20Shave...        0       0   \n318       http://us.imdb.com/M/title-exact?Schindler's%2...        0       0   \n169       http://us.imdb.com/M/title-exact?Wrong%20Trous...        0       0   \n483       http://us.imdb.com/M/title-exact?Casablanca%20...        0       0   \n114       http://us.imdb.com/Title?Wallace+%26+Gromit%3A...        0       0   \n...                                                     ...      ...     ...   \n122       http://us.imdb.com/M/title-exact?Cable%20Guy,%...        0       0   \n988       http://us.imdb.com/M/title-exact?Beautician%20...        0       0   \n120       http://us.imdb.com/M/title-exact?Striptease%20...        0       0   \n687       http://us.imdb.com/M/title-exact?McHale's%20Na...        0       0   \n931       http://us.imdb.com/M/title-exact?Island%20of%2...        0       0   \n\n          Adventure  Animation  Children  Comedy  Crime  ...  Horror  Musical  \\\nmovie_id                                                 ...                    \n408               0          1         0       1      0  ...       0        0   \n318               0          0         0       0      0  ...       0        0   \n169               0          1         0       1      0  ...       0        0   \n483               0          0         0       0      0  ...       0        0   \n114               0          1         0       0      0  ...       0        0   \n...             ...        ...       ...     ...    ...  ...     ...      ...   \n122               0          0         0       1      0  ...       0        0   \n988               0          0         0       1      0  ...       0        0   \n120               0          0         0       1      1  ...       0        0   \n687               0          0         0       1      0  ...       0        0   \n931               0          0         0       0      0  ...       0        0   \n\n          Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nmovie_id                                                                    \n408             0        0      0         1    0        0             112   \n318             0        0      0         0    1        0             298   \n169             0        0      0         0    0        0             118   \n483             0        1      0         0    1        0             243   \n114             0        0      0         0    0        0              67   \n...           ...      ...    ...       ...  ...      ...             ...   \n122             0        0      0         0    0        0             106   \n988             0        1      0         0    0        0              86   \n120             0        0      0         0    0        0              67   \n687             0        0      0         0    1        0              69   \n931             0        0      1         1    0        0              57   \n\n          nota_media  \nmovie_id              \n408         4.491071  \n318         4.466443  \n169         4.466102  \n483         4.456790  \n114         4.447761  \n...              ...  \n122         2.339623  \n988         2.313953  \n120         2.238806  \n687         2.188406  \n931         2.157895  \n\n[603 rows x 24 columns]","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>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>Crime</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>movie_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>408</th>\n      <td>Close Shave, A (1995)</td>\n      <td>28-Apr-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Close%20Shave...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>112</td>\n      <td>4.491071</td>\n    </tr>\n    <tr>\n      <th>318</th>\n      <td>Schindler's List (1993)</td>\n      <td>01-Jan-1993</td>\n      <td>http://us.imdb.com/M/title-exact?Schindler's%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>298</td>\n      <td>4.466443</td>\n    </tr>\n    <tr>\n      <th>169</th>\n      <td>Wrong Trousers, The (1993)</td>\n      <td>01-Jan-1993</td>\n      <td>http://us.imdb.com/M/title-exact?Wrong%20Trous...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>118</td>\n      <td>4.466102</td>\n    </tr>\n    <tr>\n      <th>483</th>\n      <td>Casablanca (1942)</td>\n      <td>01-Jan-1942</td>\n      <td>http://us.imdb.com/M/title-exact?Casablanca%20...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>243</td>\n      <td>4.456790</td>\n    </tr>\n    <tr>\n      <th>114</th>\n      <td>Wallace &amp; Gromit: The Best of Aardman Animatio...</td>\n      <td>05-Apr-1996</td>\n      <td>http://us.imdb.com/Title?Wallace+%26+Gromit%3A...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>67</td>\n      <td>4.447761</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>122</th>\n      <td>Cable Guy, The (1996)</td>\n      <td>14-Jun-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Cable%20Guy,%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>106</td>\n      <td>2.339623</td>\n    </tr>\n    <tr>\n      <th>988</th>\n      <td>Beautician and the Beast, The (1997)</td>\n      <td>07-Feb-1997</td>\n      <td>http://us.imdb.com/M/title-exact?Beautician%20...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>86</td>\n      <td>2.313953</td>\n    </tr>\n    <tr>\n      <th>120</th>\n      <td>Striptease (1996)</td>\n      <td>28-Jun-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Striptease%20...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>67</td>\n      <td>2.238806</td>\n    </tr>\n    <tr>\n      <th>687</th>\n      <td>McHale's Navy (1997)</td>\n      <td>18-Apr-1997</td>\n      <td>http://us.imdb.com/M/title-exact?McHale's%20Na...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>69</td>\n      <td>2.188406</td>\n    </tr>\n    <tr>\n      <th>931</th>\n      <td>Island of Dr. Moreau, The (1996)</td>\n      <td>23-Aug-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Island%20of%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>57</td>\n      <td>2.157895</td>\n    </tr>\n  </tbody>\n</table>\n<p>603 rows × 24 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"# Fazendo um sistema de recomendação utilizando os gêneros dos filmes:","metadata":{}},{"cell_type":"markdown","source":"Digamos que, eu tenha assistido os seguintes filmes:\n\n![image.png](attachment:3321758a-ff1c-4696-96c4-16101ea1acdd.png)\n\nE quero assistir um filme de ação e drama.","metadata":{},"attachments":{"3321758a-ff1c-4696-96c4-16101ea1acdd.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABEIAAAKKCAYAAAA5qf6aAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAO74SURBVHhe7P0NeFTnfeB//4jzYtdSbDNybOIEIYqpNsZRRaPWyT6g1iS9HqI6CNKFNI+lZLMX6hb+aQ38S91n86+gfz9PXLq8bLqmrbg2GyPWG9iYl6Syr2cdnEpcm7irBEoMXQW7CJH4LdZgO5I3iROH5/7d5z5n7nPmRSNpBJqZ78eXzMyZmTPn5T5n5vzmd//uOQsaFl0WAAAAAACAKvAW9y8AAAAAAEDFIxACAAAAAACqxoRdY955ww1yy63z5Kab5sq1110nc+bMcY8AAAAAAABcXZcvX5af/PjH8sorl+SlF1+QH732mnskt4KBkNt/pVHe+c4b5OLIefnpj39ink0QBAAAAAAAzDKXL8s7rrtW5tcvlB/96DV55ntD7oFseQMhd/5qs7x6KS2vvfqqmwIAAAAAADC73XDjjXLj3JQ8/Y+n3JS4nDVCNBOEIAgAAAAAACg3GsvQmIbGNnLJCoRoTRDtDkMQBAAAAAAAlCONaWhsQ2McSVmBEC2MqjVBAAAAAAAAypXGNjTGkZQVCNHRYWxhVAAAAAAAgDKlsQ2NcSRlBUJ0iFxGhwEAAAAAAGVtzpwgxpGQFQiZQxAEAAAAAABUgFwxjqxACAAAAAAAQKUiEAIAAAAAAKoGgRAAAAAAAFA1CIQAAAAAAICqQSAEAAAAAABUDQIhAAAAAACgahAIAQAAAAAAVYNACAAAAAAAqBoEQgAAAAAAQNUgEAIAAAAAAKoGgRAAAAAAAFA1CIQAAAAAAICqQSAEQPW4zv1bajM1XwAAAAAlN2dBw6LL7rbVeveH5dS3/6e7NwNaPi0PdK2QxtT18nb5mbwx/HX53S373IPqV2TL33xeWuWEbP23u2XITRX5mDzwyKfl/de7u/IDeWLVH8pfuXuYSb8rOx75pLx35BH5vT/9ips2c9of6JXP3PQt+djGvW5KCfzqVtm3/S65xd0NvC7f/U8d8rmv6u2l8pkH1stH33eLvP0akTd+NCxPfGGL/O2gfSKuuE/ItRs3Sk10vI/IazvuNWeMqbt894ty4QPXyfwdN4jZxQlvkbf9Wp3U/vyHcum0mxSqr5OFnQvlXTe8ReTnP5VXnxqSoaM/dg+qX8j4H/2zjP/zQrn177LnDAAAAODqaf7Ar0v/k1939wJXOBByp2z5m+3Sev33pO/gYzL0ukjNW16XvuMn3eNF+sMvyFdXCIGQCjUjgZCPbZf/+m9ukm/maTMf+dwX5bNNP5VvHdwnT4zcIh/8f31aPpIaki92dMtR95wrhvYdd9cBqVsu0wuELH5VLnb8ROr+w63yS6NumrrubVL7kffI/JZbpPY6kUuPPSXnnnSPqbe+UxZuf59c/8w/ybmv/m95s+EW+ZV/NU9++thJeXbgF+5JRt3r8sNNL8nb/8tCufGf3DQAAAAAV12uQMgV7hrza/Led4l8f/BP5W//7oT0f+PE5IMgwFTcXCPXv/kzed3djVsprb9yo7zy9KPy+a+clG8PPi5/9aXvyEvvbJQPfdI9BWXsFzL+se/LW757czwIYlzX3ij/oult8urx78urblrMh94l77rmh/L9Az+Sn176ufz8O8/JxaHLUvfrdfGT5+j1cvP/uFaeb39V3nSTAAAAAMxOVygjZIM8dOzD8l53L8PrmmB/sb9TMj1fvp4/IyDnL+b6Hq1S88M35KZ3mbn8cFiG5D3S+K632e43f37fXvmuPs12zVkp7zfTRS+MzWM7t+yTb9t5qKCLxEfed4tcr1nuP3lJvvv4PvnclyYRsJm3TH7//+ySjzRcH3SzSH9PnvjSHvnbgZfcE0Q+8Ont8vsr75RbrjV33nhdzh/vkc//zQl5yXUB+mXzvm9L3SJv/8kPZOgHN0njIrNOr5yUL376gSIyFIqch78tjDd++LQ81tMtXwy7g9jt/B53x+ytp78kvxf0I8mYt1K2/Okn5YPvCdZVfvQD6X/k/yM7H8+s60RuWf05eeATS4NtYV7/3Vdukvdf42eElKDbiq7LXa/IFz+ZK8MjaJ9yfI1s/EIw5ZaVW+WB9XeJPNUt63c8HUws4Jb1O2XfSpG+jWa5XnAT5dOy5/DH5G1//wdmvsH2yL/fjeQxEHr9aW+5c2yLfTtibeuWlZvkzz55l7z3ncF+fX3khBz4/G7pi5ZrYnPu/A9S85tL5e3Xmdu/eEN++r8Oy3jfQxKdLG7aKNeuWiPXv+vtMsfcffOHJ2Xs2B/Jz18xdzSD4zdq5Y2fz5W3m5V54/wZkduWyNvf9ob8+O//WF7/tjmW9Dm/9oaMvzRPrl9YY+fx8/OH5bWv7M68R6hQRsi7/0yuX/URubbW3P75uLzx3Ydl7OtfDh4LvfdV+cEfvS43/t+3Sc1rblrorebv53pjriz+94tFEhkh1/1ekzQtHpXT25+ToDPMW6X2M3fIHQ2vytn/a0TG7DTnra/LDx98Xt76X26XuafcNAAAAABX1VXMCNkrG81F08dWfV2+b+5931xwfszeD+szGF/tlt+z09bIEz9w0ybtbfLG0MPy+a8OyxvvapCbhvbJ5/9uWKThTmn7VfPwvI/JA3/4MfnlV74uf/vAA/Lnj3xHxuebC/ntHwtebrx/y3ppf5/Idx/ZIX/+wA45NPQOef/q/0P+9LfcEyZ0i9y76f+Qtvf8UPq/aN7jgUfkO28slLZ/u0Haw2es3i5bVjeK/OMj5vEH5MDJcXnPSvMe/8arYPHSCdn50FPy0rXvkfe+8bh8/qGT8spNd04uQ6HgPD4sf7bxY9L45nfkwAPd8rkdX5Ght90p7f9mk7zfvtj4wh+6/fQl+W7uVApZ+4eflta6H8oTdl33yRPpW6T1M1vlM+7xCf3qBnPRvlRqRh6XvzLb4vP//RX55Xo/FHCLtD+wSdrrX3XvYbbn6++Rtj/cHm3PYrS+s0bk2oWy7pHD8tVjh+UrvV+QLSvjFUNCH/j052XH+rvklmtEat7Z4KYW9tK+p+W8NMj7/5U3z39zpyyUYfnufwuCFBPu9/AYOK4HgNbAccdJFARx2+JXRL7ziLctPmu29zz7BON3Zcunl8ncH7o2vu/r8tIty+Rf/5+fdo8XofbPpGblUpH/tU8u/e1WST9+Rub8yiek9u6PuCf8jrzjdz8hvyTfklf/9o8k/Z/2y4/ftlRuWPVnNqBhXfNT+cmRz8mrz74hb5+fkp/8N3P7gsh171+Tec71t8u1b/53ecW8x6UnzogsXCO1H/4d92ARbvoTqVnbKm/5XrCcr3zjglyzdL3UfMAsu+fNXxuTS6M1cl0yCKJsEKRIb32HvOuPmuRfNL7DrMg7zNkm4efXyS+9OCZj73vDTQAAAAAwG1XYqDGvy0vPfF2+9Z/+WV4Kb780Lj+TGrl+vsj7P7lS3v/270nf1n3SN3hSvv2VHfJXgy+Z67Ffiy6qF95kLph/9Jx57Cn59uBTcqD7ETn0jafl+8VuqXkflw/+ytvk/NfNvP9Ou1l8RT7/N0/J9695l7zfXeO1td4p17/wlPzV579iHj8phz6/TZ4YfpssbPlkFIS49MIj8q3/PiQvvR7eviTj5tLr+jr3hCIUnsc/y2MP75YH//0OOTT4tHz3fzwinztpLsDnNUirfXVxbtGsgx8OyVG7rtql5L9I3/8YkksaeCrC+3/7TnnvNcPy97v3yRNmW3yrt1sOPu1FXX71k9J259tl6HHtThVuT+22slA+sNo9pxivvCKvv/oD+ftHdsvOPRpAuEVaP32f3BsFEFSDrP2zL8r9bbfIPx98JG/wJ7cvyTe/9zN57/vCfXiL/P6dDfLGs9+JMkSK2e+FrZTffN/18tJTe10XHrMttn9dzl/TIB/85J3uOe+S668VeWnoq0Eb/7u98sUvPy7feuZSke9hpFJyjVySn53ZL5df+5ZcPvtHMv7/e0J+8tI73BO+J28c+3N55b9+Tt587aRcTu+Tnzw9InPetdgmWFg/fUHefL5ffv68WXl3+/KP3xC5rtY76YzI60d2yy/Me/zi1B/I2DNvyNsblmcCJRO4Zvlvy7U/+paMPxksZzAPkWvfFw+mvHHbq/LWsbflKJA6CbfeKAv/rya57cf/LKeeyNmJxniLvP2FG+W1udMp6QoAAABgplVYIKQwG+S49ldk7bEgK0D/HviXt4hcf1PUbefosW/J969fKp89+EV5aOd22dIh8s09u+XAcfeEibTcInPldRl/yesa8o+7ZeO6P5A//zu98zFZ+C6R10f/OeiqY70kRy+Y57/TXGy5KTNvWL7/5i/LRzf1ylcOu+3hdYMp1qGvPy2vzF8p+3r/Wh76/Ofk9xuG5eiefXL0H90TJrBQMzXSL8m38nXbmH+j1MjbpHFdZp991Y7+cr3clN3XKq/+h7bI730mrE3jgimmLXzgo+4Jxi3LHpR7b39JHtvxGfnzg5P/Vf/Qt4bk9XmL5SMu++hfzP+ZnP/OI8GDpdjvH2uQW67RAJ/XVeeFr8r3fyhSc1OYufKoPPGPr8rC3/lr+a/7viA7/my9LHz2q7Lzb77qve8ELnxZXv9BjVx/73F5Z+cX5dr/x3qRZ/9c3jhrG7DxjFz+xWJ5x796XG7afELqtpq/5fXusal78wXTCGrrig5YvKX27SJ1rZLS93d/N91uptVqICfj8lt+JtdfysrfKN51t8r7Ni+Stw+ellM9r8rPChQBeYvWT53700klmgAAAAC4sqoqEGL98Cn5qz2aFeD/fUn63MMyuFc2/qst8ld/92156Y13yQdWb5A9X9ou7bHMgUrwMfnsv/2YvP+68/LEF912+B9e8KZILx3plk9t7JYvDgzLK9cvlI90bJeHvrBBPuAeL42X5FsP+fsr+PvPj7mHp+Ifg0yZt/m9cNLfkb/d+qeZGinG+I+G3a0ifPWE/K9XbpHGFXfKLb/TKAt/9LQ8cdA9dsW8JEe7PyPrP/cl+ftnXpHrF3xYPvPAF+ShP4x3FynsW/KzR1ZI+sCX5ccv/FTedmen3PTZY3LtovAg+IRcu+4T8kvvOCdjX/lzSX/J/H17EgVISujNZw8H7+//ffnh0hYsfesbMvrf/lGG/u6nboLx459OayhfAAAAAFdPVQVCzv9oXCT1Hml8JRixJvg7J0NDJ+W8fcYy+eznvyA7Nr5HnujdK3/+p38gv7fxcTn/zjvlI//KPmFigy/JJbleam7xakXM+6T82Rc+L5+1dUa+Kud/KHJ93S97XRVukfYF5vk/etUtxxXwO78mv3z96zJ0tDsawWdo0kkQvyt/+oUvyJ8uf1qO7tshn/vDz8jvPnRSXq//oLRnyq4UdP4V3Se3yAfzBZouvi7jZvu8p/FVb5+ZZR06J99+1j1nQivlgd7Dsm9r2H3EmPfLcsv1Ij+z3V+elpdeEXn9B9/KFBSd9x656fqfySs/mLhQasbX5ejTL8ktjSvl3jsa5JXzT8kT7pFJ7ffX81xif3VYXnrzernldn89PmZHYhp/xQVs1m2Vh76wVVqf/qr87Y5u2fiZdfJX33ld3nvXqqJrqsz59b+WmlV/InNe3Cc/e+IPZOyv18prP5grNXd1Bk+Y/0G59vpx+d/H/0h+fvEJufxD8/eT4KHpuGaeaQRjo0UHMX7x+hvmNQvkLfr+4d+lM3I5HS9sPOcXb5PXp9hd5ccjY/Lzn78urwxmcjyuu+U6kdd+nHMEol/oGfXSOzJdhAAAAADMOlUVCPlu7z/I+TffI61/uF1+/7eXygf+5e/Kli/8e9n3uQ3SaJ+ho3fcIo2/+Un509+9S95/51Jp+51GueWan8nrxSZLvPCofOt7P5OFH/53suV3zXu0mPf405XygZvekO9/I3hKX//T8vq8u+Szf/q75vGlsva+fycfafiZnB98pPjuC9P1d8FF9S+3rpePmGX44O9uDboJTcr35I23v0c++Dufl9//naVme90la3/9NrlJxuWVi+4pE/juI7pPGuQ3N7nl6Nguq9/npWn848PyreGfyXuXbZIH1n/YbC/zHvd9QfY89O/ks+9zz5nQ49L/vVfllpYNZr/qcn5YPvsnd8ktbwzLd21WyQl57J9ekpuadL/rPlspv7/pg/Le14fkm2HPliJ99/g5eeldd0nr/Jdk6KvxysRF7/fzr8gr8h55/5YP2zbY+jtmve0Dj8vf/9PrcstdwXrYtvW5D8vCN4flW4+4gI1pe2+vv0tW71gvbS13yvtNG//Ae2/MEWS7TbYc/Jac/s5XZVeiPunl10Te9iu/LTV3d8qc65fKnPmfkLenRN4cc1Gii+fkZz+vkWuXbpK33PBBmXP7A1LTMpWUqXq5buV6mWPm8Zbmv5ba298uP33mSPaoMXm8+a3vyBtm+Wo/+WdyjS7H/E1y7acOyI33fMI9I/D2526Un9f+bGpZIv/zZXn5p++S+k+/U94x963y1iXm9pK3yaWTo6K9YOJ+IW/Me1VumE43HAAAAAAzbvYEQnToUFcD4iNaquI9H3Y1Ib4gnw2eIA+4ET+CWhbvkY+45z/0h/YJE3vhS/L5v/qqDL3ZKG0bPyd/tvWT8oHrzsvRL+2VIfeUQ1/4j9L37Dvk1z65VR544HPy+7/9Lrn0jS/JzqK7OLwkB3abefzgJvngJ817fO6T8kF9jy9khm3V7iQ7j5h3/NVPmsc/J/f+y5vkB4//R/n8f5p815Sp+5Ic+OrTMv6elfJZswx/uqZBXnp6WF75iblwvMs9RYectdv40/L+60Wuv/PTwf1HwhFbnpad//4R+daP3iNt6z9nttdWufdOke8e2Sc7i6wRYvfJIydlvN4tx2/fJN//gf9b+0vyxb/4j3L0ez+VxpUbzPYy7/Hrb5N//uqX5K/+yT2lCE88oPMQs191OTfIR1IvSf8Xd8gX3bX9t3fsix7/s8+tl4/M+6H0/c3eHEPtTuAfH5Fva3LGD89JX2IbFL3fv7FPjgy+JDf9yw22DW755Er5NRv0eUmOfm63t5ymbb3zB9L3V5n10Ho0n3/kKbk0b6X8/ue2ywOmjb/f7Kej/2l38UG27/25vPrkOZlz53pJbfwPklr7O/K29BPyWt9+94SH5H8/cVLefO8amfv7O2Tu/3Ox/PyfnpGf/VRkTso9pSiX5M3r3Tw+skR+8b0vy/jff8s99gm5dqNff6RebnB1QGrC9vniVvnRl5+Qn93wEbnRzEOX8x2v98uPHo8Pn3vNd2plbt24/PgGN2Eyfj4mI198Vl5/b6M0/78/IB+49zazjf+XPPtkdhhE3voT+XHdDVJ75u1uAgAAAIDZaM6ChkWxH2Bb7/6wnPr2/3T3kNT+QK985k6/sITz+tPyxWiY05m2QR469uGowKtPhybe+AV356q7Msv52Ydc8CzpB1+Xj23c6+5Mz+zY7xXkrgNSt1zktR33XoFaG7+Q8c1n5dXvv0/e89+mNXZMQZc/+rz8r1/9JfmV/++N0xuhBgAAAEDJNH/g16X/yXi2PoGQSbrlzruksS5H6vsbr8rQ/3harkxOR4N84LfeIzkuy+X175+YRO2MmXZllnNhyzJ5b4274xv/gfQPTqLYaQGzY79XkCsaCDEWvyoXO34idf/hVvmlUTetlN76v+Xl7h/K2/7rArlxEplKAAAAAGYWgRAAs8OVDoQYl+9+US786nWyYNcNMsdNK41fyPgf/bP8739aKO96glwQAAAAYDYhEAKgul1n/n4c3CypmZovAAAAgGnJFQipqlFjAFS5mQpWEAQBAAAAygaBEAAAAAAAUDUIhAAAAAAAgKpBIAQAAAAAAFQNAiEAAAAAAKBqEAgBAAAAAABVg0AIAAAAAACoGgRCAAAAAABA1SAQAgAAAAAAqgaBEAAAAAAAUDUIhAAAAAAAgKqRFQi5fPmyuwUAAAAAAFC+csU4sgIhP/nxj/WZ7h4AAAAAAEAZunw5iHEkZAVCXnnlkrzjumvdPQAAAAAAgPKjsQ2NcSRlBUJeevEFmV+/0N0DAAAAAAAoPxrb0BhHUlYg5EevvSY/+tFrcsONN7opAAAAAAAA5UNjGhrb0BhHUlYgRD3zvSG5cW6KYAgAAAAAACgrGsvQmIbGNnLJGQhRT//jKbn2ul+S23/lX8g7rn0HBVQBAAAAAMDsdPmyjV1oDENjGRrTyGfOgoZFBSMc77zhBrnl1nly001zzcyukzlz5rhHAAAAAAAAri4dIldHh9HCqFoTJFd3GN+EgRAAAAAAAIBKkbdrDAAAAAAAQKUhEAIAAAAAAKoGgRAAAAAAAFA1CIQAAAAAAICqQSAEAAAAAABUDQIhAAAAAACgahAIAQAAAAAAVYNACAAAAAAAqBoEQgAAAAAAQNUgEAIAAAAAAKoGgRAAAAAAAFA1CIQAAAAAAICqQSAEAAAAAABUDQIhAAAAAACgasxZ0LDosruNWW+t7On7A1laMy4nH7pH7jvkJk/V/V+SgZX1Ihcfk+Udf+kmetzj46f+Wj467TeborU75bGNS6Um3zJeDbNxmVBSf9L7DWmbnznOgvv6SPLY+2Pp7f+omKPIPHRS9rZtkS+H7cM+Hoq/Ljn/CYXzDN/DTnTv7abJnq/Jhub4u/rH9ifc4yOP/5Z0PGgnXVkVeNxE7SK2XyYh5369kjLtd6Lz/KTbbAWY0v69Qvs0XLarczyH30XcXcO2n2/+RoFjPP795YV7CrSn2XauCL8rRUakr/XT8hfu3pUTbsOZen/v88zJ176ubvubWTnPdRN9X56FovNXMd9b7PTJmOb1yDSP8Zldt9kj/N4WU0HfoSaWPCdN0N4Sx2mmnYTGZXnrPe52gIyQspSWFyZ70jH0gBro/5rsWesmOOPpkeCGnpj6vyGPJZ+AKcu3zVGuamTxh7ydef8dsS+NMXoibv0t8/fXcnK8RpZu/Ib03u8em0H6xVTft++iuTP/o1fkPavTH8uS8AO2ZrHcVdQxrh/q35CB3j92951LL16dL2te+625/TfkE+721TD7zpVT2b+eEu9T/UI30P8l+RN3PzAu6fPu5hWjbTi8GA/ONctbH5Nz7tGJTe37y9Vi26X7QShY19+SvafS7tEKYr//mQsOvXgM9+tDJ83eKuRqtD9M3iS+t0za1T6eZ2Ld8nxOX0XV+b0uDIJ4nzWPF/dJE13XWho8ca9PBEEUgZCyckjua9MdOZVfAtbKXbcnoooPfto2jPBXwE98aHHiV2xMT45tjjI2LuPj8QvGP7nDfOSaiWZyAXrcPmZO5SL1y3ZesYvNvzgbfBCkbp01V5aVxX3hGrmo2znxZSyf5Je0Q1vko/rhfJV+3bHt17TMEf1yNZWL/ZKZhefKqexfNSP71AvKOH/REXypm/QvsdP0J736xVS/WPrfQ/5S7ptwQabz/eUqWbtTOvXX2IuPxbKlvnzflvJZh6KslT2fWmpaubng8H9BN235vjzZHler/WGypvq9ZSKz4XieoXUraaCotKrqe93aWyWl/148m2ljD5pzUqFzTuK6thhvdf+iBMJ0uvHxGqkJv9OZL1Ej8+vdQeWn9CRTS8PH/AhYcIIJ53vyoV6RTyXSIhMpm7nTFP33Cn6ZfuxDfy0fffGj0S8d+6UjSr+qaf4DGej7Ddl7wt71JJZ5qmlnYZcbc7Kq0Q2VM4XJW8eE3M8Lt1sos63jqWXePihq2wXi84jLesyuz0jubW7euNj1xGyTlnPPiCxtDi4Yv2yOVXtxcjEtadOOc7eO0IikzSdzvbvYfMFNXfypb8jARnfHHQelElzkjsu5bxb/gTCx8BwQttvE/eSxrXKeJzLnEptSH56L8r0ucaxG2yqRXhsei0E3DwneQ8x8HhbptN0VzPk52lfTO/bCIMKZjrMi/eYcb7+MHcqsZ2yZzXnnfFqWLnT355v17b9D+h5KS2ssPThxjs1xvpp42xYrbL9nRVdhwHxO2Yv9Q2F7SZ5TQ+EyZp9jg3NoYh3CZcy7/P8gd0XPz5wrw8+k8Lwce4/zbr+H+zPxHqFC5/SJFNy/hfZFrE2GnwPx7wXjGlwx2zu4m2mH8c8G8zzbjuu9/VAvbf3fkCVmvc7cEX4vyP15ljmfZPaXvwxT2zauzYyfk6cKnVbmLrfZBfH1C5cjuJ+U9TnqCb8Dhcs/tXY2+eMk/HFo5Gy+83JiGSY6Xs22GLlo2pLbx8H+dRsyX9sN21Mw2VPou6JbhmKt/Q1ZrG/gX3D4kuti2laffDTzXgtLtK5lJXl+9D5PCmyveBvOP4/cbT541uQU970lfg4v5pwenrez1zsQtI2nPpQ4rqPzUikUs26Fj5P48plpuT6n7euKPN9cPC8n5y40z8sch8ltOx1Z3+sSx9JE5/3JffaY90iun33QO58mzk/ROiaWa0rrfuhFSZvvxzW6H/puzT6H53pvccvrn28mQEZIydVI+oRGSYNfgGV+StKakvN48KvS0nuCVKs/6Q0aaJCuE6bOa1rwX0rfKY1l1ssSm/pU4IuHa2i684N5mFetTKbOKo3cBo/rAaTvmWwgX77vHtlr3zc4AJZnfWlwB5VeVOivXbo+NUulcxp5zDVyLpiXOWiDg1APSnP/oZNmKc0Xvhxpafmf95fSodOi6W5bm21kT3J6crCPx7+kTLztDHOwhb8K6TzC7RTSbRfMO0xbW272Y+5tXux6YnZ64ZvnbNuyF4zhL8ZnzYXShA7JC5fczYhpU88E6dalTHesX6kp9KadibbXSX4hLpGaSwOZ9TLnibbEen1iT4f9QpH8sMr5Ov2w0w/U8BjWc49+MOpxox+U+sK5t5qL1ExWQU1K90y9pPQ9nvkH71x2TvabeQTHcL20Tvn8lQki/IU595xJZlSEXwL8886//rT7HDDsdPfl0ZP/c8E9wZho2xYtar/mS9ODZ+3nVeyXteiXf10W93lmmXPbCftslyURbvcRORN+YS7wOZG9/BN/PuVVk5Z+fR/vC2lR5/QJTbB/ncnsi3MPm+Wy53zzVDNvXe5kOwx+Zc8sf03zR83y62dbuP2Dz46sL5SFjhGPvwwzm50WHGdBey/iOJvgMzZgHnfny+jCbFLtLJheSpM+Xs22SKV1HYL9GexfI2/bNesZZmroerp9F3Dt0sxzwu+KJeJ/Z8tleus62+i+DD5L7Z8eXxFtf+HFta6HrqMGKePrkb29km14onn4z3eTpmDq31sCQTs3r7H7zPxlXR8YuT7zTDvM/f04eEkpTLxuBY6ThTmuD3J+Thdxvon29b+Rp57RozTX56M+c2pyfq+bwnl/cp89GTnPp/r+9gcJt13Mnx8Emf4xbj77wnOeec8NehyG65bvvXPyjuW+nW5aBoGQkkv2mXT9586ng51pJT+wDkUHTmqhOXHYA9ulPoUH9onsE08QGQwPkOBEZV4l8zLHZumEvxiEjdF9KAQXHFOTuUBx28Osqf7aNRBG+OzFjW+i52nkNzE93O56cvA+YCaz7ZK/CoX7x6cRX3uSsssX7Mdsxa4nZq1D/yDnzM7XC8Y94S/GRX24rZV5c/Vfvz9tJqpfynRH/fCxH3I5PhCvlLB/5oimwRix9Zq7PLjoMR9g+xMXvLlel/WrrLtoD46b8CI1ZY4qDXyMy8hFXfc75E9cWmX6Re89XN2GL78Y9Hyf8vnLnZeD80rmuA+++ITnF3OB9LXcFwy5Ff5cCBXctpMQPwe6XyWji/3ksoRfJp0wcKLbz302jJ96TP6iiM+JUi2/5f2CXdLPwwn2b6j4dUn0ox9P2+0XtkOfBssnu/yFj5GQW4YweGiPmRmSqI8y0XFWzGes2WiZX0GvdDvLaXLHayg4HwUZgqG8bXeHW8+wnbvPn9BffM0Fte4w53nXZuOB39KaaN7TWtdS755pCwNc7i+8OFZZGTTh+TG+HtnbK0cbLjiPEmV0Tvl7SyA8huw+y/OdotBnXnHfj6eoiHXLe5zkuT7IUsz5xtvXX75vwJ5/7Q8LWft5anJ9r5vUeT80xc+eXOfT6P0T16clPcbDrqbh8WfWX38wzPfeuXnHctsWNy2DQMhsNKmTVuJkPdO/AEeRU/dXshQ3w4vs2b9cUWeV43k6Yob9Mm+XL/z1zLAHURCRNIelDUBkfnUvxbYLgi8bmsXOK/cvWQnFridmIfdl11wwLtbARrEfbuGHofsQmrTw4sUX9p/MUZTxy/f1Bm2+xL++lFSJLsSCIFK9LOk1X3DMRUnfWd1SKVlyj35QTu9XmNzWyp5luuTe+SP8tUW/+NjnzHJrd0qrvYjLnIuCc1f2xX5u7kv7/Dtkj/1CkvjCPpOfEwWV4px+lfav/sJlLxaCX4iDX9VnG3dRmyM75qqY4XYWXizYC6gZl6Ptfts9lE8YGNHj8Fb9NBiR/ql8AQw/XzSAbCfMtFIcpyjeFL+3ODarI/xlfqKgQcwUvh9PWhHrlu84KXh9kEPR55vwBxpznvxQyn4+Tu5Hkdxm7HvdjHz2lPgY19ofLhhS6qA2gZCrwjtI7P5Mpk6FB/ZSWapfVvOctILInOsCYpkvcHvyfWDnSs2PyxUhjEQflN4BeP/OEh2M4ZcrL33VHJh7sk5I+Z9Xrznw4ckmvECMBEWdwpOwHkST2XbJL0NhJNKKivkM2IM8WI5QcpsXu56YzYJfK12/3TASX5BpWza92bTPh/2gVyZ1Mrzwyv/rT/KckePXgJhM94VMGy+FsE2H0f2g+8mkXBqQj9oPNPPFo4iMlfDX4ehiJPnLp/tVJzXXHIkaFLK/itRI/XyzYNP8FSanKKgV/hJshF+03P7JPr84sczApIk+F0onbDuxX7Hcdg4u9pMXvGE2W0YYgFpqs3vctpjy50T251N43g2/9MTPrdkm93lYQBH7d0Ys1C/M5m01s8Yse5BBFnL7I48Jj5GSMeeVh/WCyGznjf7F0B+bbT31DVPwMzaXGf0+4jFfvoN0/o/GRtP7xJ6dZt1Ld7zmbbvJAEXYNiNhFoo7Dqd8vvtL6QjPyX1el6kZ+H5SsuPUXWQHF+VmHn16O+iWFGYgzNgIiN6FdXAMJLODilCKeUzCRN9bJjzfxoIG2b/u5/zMK/j9uHQm/k5W6DjJvj7I+pyewvkm+Hw026PZnIlLtk/j3+tKdt4v+NmTX3TeTnSzLN1n8U7p9TZymGmSfvFQ3veeCgIhV8lfdOgJxTQU229JU4c0epbpMx42cJXvYiuq62EjtG4+8QhATJAeFrxnzg+IBx+zJ7mgWGqycYX9lMNlNn8rF7vHpktPRGE/MjfvjUsTwQyV/3n+ug18ylsu7atmt41GpfUEGFR/n9S2874M2fncbk4YwSNmkbZIv/dY69zoESu+zaXI9cSsFn6BmegLr9+2bEGx7Ii4PdZc6uDI44Uj5tqHs+9i5vibsPhWmCZplsP/lSNqe+ZvKl8UY8da/3JJxZt8cfxjaqJgiH4B0y/p4fbUtFR3HAePB/tDC3kF58rMRWO+c+d0RBdpsUyc8ItWENzKPr+4ugGx80X2r2oTfS6URnjBFqauO7GLff+CN89+DtuXkfniNfXPiazPJ//zyMwneW5NmuznYT7F7N8ZEVvfDolvtfALcJ5fLSc6RkrJXhCF9QzcPu7/aGJ5J6nQZ2xOM/l9JE7Pu9quwnZol685aFilOl7zt10vQKHTN5p1TGyYYr4rFkV/cdVf/cP0f/t+pf9+Uqrj9OrS76L+MeBqfUwqu7cU85iEib63FDjfBl0m3L7K810l52eeFP5+XDJFfCfLeZzkuT7I/pyewvkm5+djCfjf6xaW6Lxf8LOnAD1n6Pt75wz9bCrlMZ7yzrvatUrrytnvvHneeyrmLGhYdNndBgAAAFAmMkXYSx00BSrHlT5OgtFitFsQXb9mMwIhFSg42N0dp+Avx4iw7XB1hUO9+fiCCwDIYW0weoJMYrhIoOpc8ePEfZe7+NgVrJGFqSAQAgAAAJQNrYsRdFXQdHgutoBcrvxxEv2gqsXIGQxh1iMQAgAAAAAAqgbFUgEAAAAAQNUgEAIAAAAAAKoGgRAAAAAAAFA1CIQAAAAAAICqQSAEAAAAAABUDQIhAAAAAACgahAIAQAAAAAAVYNACAAAAAAAqBoEQgAAAAAAQNUgEAIAAAAAAKoGgRAAAAAAAFA1CIQAAAAAAICqQSAEAAAAAABUDQIhAAAAAACgahAIAQAAAAAAVWN2BULu/5IM9H9DBnr/2E2YhIKvXSt7+sxj/V+SP3FTAAAAAABA9ZmVGSHj6RF3a/Km81oAAAAAAFDZ5ixoWHTZ3a5gmhHyB7K0ZkT6Wj8tf+GmAgAAAACA6lJ8IGTtTnls41KpGR+X8ZoaqbETx2Xkokj9/OCeXHxMlnf8ZXBbu6qsrA9uK/fYJ/Z8TTY018j4qb+Wj953KDNfffzsHfY10WNRACOYhYyflL1tW+TL7m6Me7+s+bqHAwRCAAAAAACoZlPoGnNO9rf+luw9NW5u10i9DMjy1r+Wk3p3/nLZs9b8q0EIDYJocMM8d/njI+axj9r6HV++b0C080rN7b8hnzD/fuJDi22wYuSsC6BEXBBETsrecB41S6XTvsFEzGs/pUEQDXyY1z50UnTxAAAAAABAdZt8IOTSi7GMjKAmxyF54VJwX2UFNx48a4MfMvdW+YT8pZy5aG7XpKRe1spdt5tnjp+Uvgf1CZ61vyGLdSY1S2WDFkF12SU1KS/LJJ/wtRfPBtkfh/5BzhEJAQAAAACg6l2VYql/cVbDIvWyZE8QsBh/5h9yd3dRYVZJ+Bd2vQEAAAAAAJikGQmEfPmb52xXlPo73FC2998hmscRBTxchkh9s3ZfGZdz39R6IAmHXpS0/ht2t1H378zcLiR67R3BcLlhhggAAAAAAKhqM5MRcmiLfDSsCxJ2a7n4mCuAqlz3GDV+Tp7KEQfR53S0PiYjUiNLN5p52Pksdo9NxLxW31/qpU1ft9G8jq4xAAAAAABUvSoZPhcAAAAAAKAcAyG5hsUtNKwuAAAAAACAQ0YIAAAAAACoGldl1BgAAAAAAICrgUAIAAAAAACoGgRCAAAAAABA1SAQAgAAAAAAqgaBEAAAAAAAUDUIhAAAAAAAgKqRNXzub/3mMncLAAAAAACgvH3j70+4W4GsQMhrr6bdLQAAAAAAgPJ2w40pdytA1xgAAAAAAFA1CIQAAAAAAICqQSAEAAAAAABUDQIhAAAAAACgahAIAQAAAAAAVYNACAAAAAAAqBoEQgAAAAAAQNUgEAIAAAAAAKoGgRAAAAAAAFA1CISUwrbDcurUYel2d6dN53cke24dPQMy0NPh7gEAAAAAgMkiEFIC3U11MnyhTlaUKkix7bQML2hKBFY6ZFmjyNBAr7s/Od1HTsnhbe4OAAAAAABVikDItHVLU2pIjjw6JNK4TEoTCtkupy80SJMfuLh3mTTKkJw44O4DAAAAAIBJIxAyXduapG7ohPQeOCFD0ijL7nXTrQ7pGTglp04Ff1FGhu1K46YP9OQMnmw/PSwNTZmckI7lmg5i3kfv3NsjA+HrvS45QdZHtxwOH3Pda3R6+wKRhlXu/fT1/vvG7uvrD0tPz4CZx4D03Btfh0yXHZ2uj7u7AAAAAACUAQIh09IhPXfXue4qvXJCk0KWZ8Ia3Uc2S+PQLmlubrZ/azQQokGQptPRtF1DjbI+V5eaWPcYr1uMBi26RPa51zcfE2n36ok0rGqS0/axo+b1K2ygYvvqZjl6QWT4mJm+vCsIphTUII2yz8xjuXQd6JWu5e69mnfJYCqYJwAAAAAA5YhAyHQkuqv0DvjdY7qlacGwHO+Khx063l0nsqA9yrDY3FIrtTcvdI/6vO4x/vssqpPa2hbZHGZorGoQSd3m3lODHWvMK5W+vlbqFtk7k5RY7iiDZbO01Ibz1ACJBkrsMwAAAAAAKAsEQqZBu6vEghJbWsx91z3m3tukbmxUzgdPjRkbzGSJ2L/VQegiKeweo+8z+qSXyXHhaPz1RWV5TJEGQe4elV3uvTSzBAAAAACAckUgZMqC7iqDO72AhPnbNSjS8vFuEVszpCWr20vv86NS27I6qutRkO0es0LWN47K6bC+yLOjMua6vEzZgedkNAzYGDagE9zMYjNY0s+5QItmudgbBjVCAAAAAADlh0DIVOUZxUW7x4zZ2h7adeSojLZsdt1KXLHUbWtk12CdtIdZJOH0nILuLbXp0667i3GgS5YfG5WWLZnXDxQxbK/NLgmLpZq5HdGAjZvH+ptHZcw9L6m367gMR115mkTICJk1ruSQyB09A4l2Nv1AmM4zU3x3qoLivnYuySLAV1W4ffRfc+zkWU/dh7key97egULbLN9rAAAAAMTNWdCw6LK7bb32atrdAjCb6UV002lXhDch+Vih505Mgw1ahDesP2OERX/zdOu6crxlCwsJz2RXsWJF2+e89Aysl0YZlePLve2n7PI2iqSPy/LYdixynRKPaSBkveyT5Ym6RAAAAEC1u+HGlLsVICMEQGE6RPTgkdhFfHdTnQw+erWDILNXcvuMputkRSJbw9b+GRpy9zw5tjcAAACA0iEQApQ1zR4IujiFXSY0+6N9gQ6lbKYN9MihxP0O+5rD0h2NBuR1r8rRvUQv6oMhokPd0pRy3cKSz4/d95btVHY3Gr8rR3C7O+hGEi6Pt3x+FyDbPcRNH+i5zU3NWOg9nq/rkO2SEs3DLb0uu5sWf21ye2lXHNflRe8ntlds+zijp/0RpVS3rG4ZldPP12XV54m2ty6PLcAcFGTW5Ym2WY7HknKuIwAAAAACIUA5a1ilXSi0UO9RW1hXgw3bVwej+wwfM9OXd8naxP0gpNEg7dp1w712tGV97nof5oJ7ReKivqNnhdQNnZiw+4l9XjRC0sRDLde2rBDpCZdnc9C1RF97bFga7nbBhm2HZXPLqBy182yWfdJo1sRT2yIrzFT7up2DUrfK1Q/xaDChXTIjL9muJDaw0ChDUfHjoyKr/OBNZnsFNX7Wu2XdJYPSIqtjgZoc2+fZLjme9p6XL+vD395aD8isw9jYoB21KdatqdBjRtgVKliXXTLUmGf/AgAAAFWIQAhQxoaPhXUngsK6dYvsnSIMy9GoLkVQPLdxeUdwge3Vo8gaull0tKRROV5EHYpghKTNebMyksYG97lgyXkZHRvLdC3RkZKCW3YUo8w6u2K+7rY1Nij7wmUz63L8QoM0xd7fjfaU7NazqM5MDN9fedvEymwvXS+5cNw9t1eei5VVyr99wuGw9Tk9dyezbALZ23sqOuS2lMsAshkhm6Wl1rUNL8smO5MFAAAAqA4EQgDk4bpv+IGEbaulxR/FqJBta2xGwukmvfAuzVDLC2/ON9BzsRZKXe2oPDdBdsqUFdo+247IYGqF9GxbJo3pMJDiy7G9p2wsa2hvmzXi9on9y1WAFQAAAKgCBEKAquRnSugFuGTqUoSZAsUUST3wnIzWNsoyF+TQjIZkqEK76uwKsyv8+U+BzaoIu8kY2g0l3jUmsyy2m8mC4SCwEL2vZs40SHtyCNpnR0Vi3YO8bTIJhYvI9sqJIfM2q1pk9HSO55SsSKpmqdRKy8dzD7MLAAAAVLuKCIT4xRPDdG+/UKD/V2yafj6x9zJ/0y1CmJxfqX45nzS9ULRFIK8Of39l76Og6GZR+05T/5MXuSVilzEx79j+iz1WuFCosq+doe4JNmAQFUfNvq9dPcRmauhfu8ix7BoeBYukRoIuJC1bgnmtv9nrxuJtm82NQ5kuK9OxbY0cTQcFQu37yVCia8yo1HW59bI1PxJD1hrbV++SwVR7tGz2GNYuQcdGo/XIt00Ky7V94mxXnrFBOZKjLWdvb+PACbOGeQqiFngsuY5BgVfEugbN0HlixlXCOswUtk1+9jPebZsZ+tyZTQp/p6gwdt9epe+OU1FlbXHSKvk8Vi37vtrb+Kxsw8EgB0lzFjQsuuxuW6+9GuvwPuvph137gmE52px9wZOhF6Xt0qCFBaeZDq4Xd+tlX1Bg0W7UzVL3ZHaxwgx9jhZWzH1RFZ+foQfPlhYZPVZongFddy2IONHzciu8XFeSboPNNx+XZq3BYNe/To67/Rnu3+ELDSLFrKsefFrUMqp/UQI6z1UNZhmGpUG8edvp4tqe3xaC241Du4L9qs+7ezTR9krXJidP31uLrBY4ZnQ/fPw5We5tR91Pq59fPsX2VvmmtX1ybG+UWOzcUsy5exaqhHWYKWybAvScv0JGdwaf9/q5uuJl9/lUgQp9p6gsQTtvEfMdSepkdBZ8n5tYdbXFSavo81i17Psqb+OztA2H++GerY+5KYHyzggxG3vFAq2PWDidPEyfH552EcIkTXUfk7p3lzDW50aDqPPS/ytbonhlosCldqtoNgfT6eDu1eHqKqxJLIQW7sy0vV7pejIshql1KIYzBTO1NoR4XTYMbZMyOBhlT8w62g4TF+W9XQRBCpnW9smxvVFa2m1Lch6v5aMS1mGmsG0K2NYkDVGBZ/O5+qj2VfSH864khb9TVBbTzpdrvacjMuqmzHpV1RYnr6LPY9Wy76u8jc/ONtwtTQu86zJPeQdCFtXZegQ6MkWYgpPdVUU/FPVZrlbADNJoU3w5XLS+tjZIuS82PcimvGcunLPnG0xrX+BGhgjTrjQK554XT4XX5cjM47DLWIgtl77WzkcjmfEUS32vMLU017JMT3bxyvMvlyi45Kdm+evk1rW7J+y6MbWU0pyFO1O3Sce9t0mdu5vhjehi3n9945AcGXD3Acw4PV5Hn/c+BHU0Ij1e3d1yUAnrMFPYNvnZoP3L5909w9Z2qjOfvpVoBr9TYNqqqy1OXiWfx6pl31d7G5+VbVivy8ZGxdsrkbIOhGhjsy4ctb/YH72gQRG/4KGhoziY69WJskamJlNQUQME2k0lGJFhlww16nJotH6XDOpQoDqCwxR+8c093yBTQtd3+JiZrl0r9OK+S2SffZ75OyZRQcjuI0E3jWAemp5UaLmSw4YGUTQNIuVbllnLHyFD6z/4xSNrW2SF7LOPaSHPqRSW1LobtV6Ut7vJle3UQNaY9wvUvcvExuKsDunpapShnivdHca3XdZUZJowAAAAAEysIoqlDrsRGDTqr7+8Zy7iw4vTsUmP/lBIJgMlLKjYIbelXHaGnR5kW0QZAFOiv2hMYr6aHWMu7sMiklrTwmYnFEgHyqd3YCiTxhWNZDET6zh1xWWmeJkw0fZwxgaj4p26vmG0clIZL4nCnU0vD8pY+jnp1VSwnkGpC7dVl8jQhTEZfVbnr33lyqEfLwAAAABUprIOhPQ+n7tXZCYlJ7h4D4IKdkJJjA362RVuorjsijADIfbYJGkWi1nmIIVnEvN1mTHRn80UyZ8OlFfUNadDeu72R7Io4TpGzsvoWJ3c5mWWZKVV5RDUDgn+kgWIgpS0oPuPFuixz9tZXD2OQvPNxX/+EbPNJEyH05oPbnrz8uekboFpgxLUtImCSVtaXPCKET2AmZaVHq/BYxu4LB+VsA4zhW2Tn35Xqr3ZS8yeyveCsjG17xS4MqqrLU5eJZ/HqmXfV3sbn5VtuED3pPLOCNl22g6dGRZh0Q+7WC2QsEvChdMz3A2gV55L106pe0UWOxJJnQzarhOTmK/2wVqwIrurihtic/2k6nlocZtRafz4amlMhwV/SriOMVpw1uuacq8GC6Zez0UzgIIvPNpPOMjCUFq8J0dFj9LRuh8tozkzb7qPtAdZNX5wRP80OKOjxtBNBZhxNtOtZbULOmqQtyHKJiwXlbAOM4VtU4B+V/K+H3R/XPv0njCfvpWotN8pUGIlb4v6o5er86ZdxF3NPM3uLcdhkyv6PFYt56GqOt9mm51teLucvtAgK3JcC5d515jtskYvJhe021/Y2xdoxoJ3UalRKPNPrGjNDNm+epcMpoLlCP7CX/ndh3KBYql+sddgONZM14n88zWPnR7OFEvVi2ytg6Hv454bdO3QeiBHZdR7j+DDYYLlMgfy6IIGGfUab6FlmY7ern2Z+W5plCF/HxZJh8vT17fLUZelEtQ6CbfH+ptHi8oImRT90A23RWJ4Pr+LDUPDFVawO5IteDvddqZflNx7hIWFlfelKeQvS/K48B8LjiHvC1iMFhwmy2fWMefIfYN10m73YVA3afoZbVdYJazDTGHbFGC+K3nfD/RzspI/k0rxnQIzpbra4qRV9HmsWvZ9lbfxWdqGt68OroWT5ixoWHTZ3bZeezXtbgFA6WlAQYvuBifGbunpOS9d9kMiPva6ffTIgDSZf+te3jflDxINkq1+Phja1r+t877tUb9ei78s+ngmiKWv23zz8aCwsAZQXODrvJm+XhLLpsGbptNTKo5s561Fj7Vbm5sEAAAAYHpuuNHWzIhURLFUAOVqexR4CPj1fLqlKTUkRx4dKv0Y7NsOy4qX9yWK1saXRfs5BnQIbpHBR11g40CXHL8QjApkUwATy6bds0jJBwAAAGYvAiEAstkuKUFaX9idxHY/irqLaPaG6xbiPzec5iS7vej99rBgbKxbinYz0WwQL4VZRyzSfpVR8V433fK6u5i/qC9wjuXu7Tou4grUbm4ckiPbzLLfPRqNGpRPpsCe1puJF1yOikFlLVtmuGl7L7H+luuS063b0z7m9W+OCui6ddL18bvoePd1fwz09Jj9YOZhp+k+yfF+AAAAAGIIhACI04tt7drhirruGmq0xXaDftdBASgtABsMHa3PX5MpAKv9Il2ROr1Q176R4WPafURH2Tl6QWT4mJnmdf/IHlZYCyyFIxYF9Wxiw2Kb52u/w3DetptNnuW2/TXdNH1P6Vkh8uQEXU/MvNpTg3IkDLDklVi2bU3S4Iozh12AguXZJUON6zNBotoWWSH7guXUWja6zQ50yfKogG5xIzLVttTJaZ2/7YbjrWez9oUMi1UBAAAA8BEIARDT8e46EVeAWP82t9S6ocB6patnSBq3BMWfMhfqXnbGqgaR1G1mSqI7SUE6zHWiqr+O+CRDcsIFRuJdUIKsi+QIPfmX23Nvj6y/+bhZdi97IlfBVA2oFFmnw1+2TLeYYOjuaKjkU5ulpbZW6hbZl4iMDUYZKfr6MbvNJm9MRyNyt5XN2rHv1y4NEh9CEgAAAECAQAiALGODmWwL+xcW/tSxuINbjgZBNJvDPU8zGuz07O4k+enIRvGq/na4Y9dFxF7Y2y4jrgtKgTHZ8y630/3xRhl6dLt0aFaIZqWY52jmyGoXhImyOGKvOy+jY/GgQqbbjBF1j9GaJn4WiY5i5S2L+Ssmy2OqooKu9r12yWDJh0kCAAAAKgOBEAAxvc+PSm3ObhVhHY9mOSrtri6HBjzGZPRZ+4QggGFvBWN2tyeGoM0tyCiJ6nyY+zabJBFEyHQh0cBDi+v2kpF/uZ1tuQqkeu7tkRWxTJeQG2radfmxz/PqgISPN3atCGqauGnPpWszr5mqZ0dlbEFTtE6acZKPBmeiocI1oybYEUGXIbsfdDt79UgSmTAAAABAtSAQUhG8wpWOTe9PXIRm0uaTj/lFFuPzCdnXhhdOemHFRVTl2rZGdkVjgAd/GqTQuhwt6eM2kLD90UGpW6VtZbsc0QCFGy99/c3mwt3NZvvqXTKYynRVCYt3bj89nKNYqifRLSZku5DYoIBmkATjgfvLl2+5A6aNr5KoO012AVUzcVGd1Hpda+yfW8agPop7bItZOr+oq2G7x9SKq2kSSK7/qVOHo4BGXi7IExVLdSPUhOvUJMPB83LQfSLhNumqk1EyQgAAAICc5ixoWHTZ3bZeezXtbqFcaJBiveyzxShtkGJVgwxfMBebcjqT4m+nixxt1gu4THeGNduC21p4Mnr93aOyK1YfQQMl7dKgRRzd9LALwUym+gMAAAAAMF033JhytwJkhJQ97UYwmikc6UbwWHM6uBvSQpKZwoq90vXksDQ06e/T2rXBKzy57YgMJoYqtfUUBsPaDwH7q759PQAAAAAA5YNASLmz3QhyF470af2ALDpShRaedHczvNEtdJQN7Tow4O6Htp2WYa92AQAAAAAA5YBASLnTugbp57xuLLlpBkdtNPyoZIouak2CsQZpCru4+EUWtQtNV6MM9eQaRjR7JA0AAAAAAGY7AiHVYtsaOZrODEfa9PKgjNkASq909WjhS1fQsUtk6EIwCogWx6x7cnn+UTYAAAAAACgzBEKqyPbVmaFIj0ijSDjU5oEuWe6mNy9/TuoWjMpzokOESjC6hwZItrRIba0GUooY+QIAAAAAgFmKQEi5e3ZUxrTWh7tbFK370eIVWPV0H2mXOi2q6gdH9G/noIzpqDF21BmlRVZH5TmyRQAAAAAAZYRASLk78JyM1tbJQnc3r3t7ZMB1izm1pU6ORwGNYChcO938rXjZDaM7kW1N0nDhdDQPAAAAAADKwZwFDYsuu9vWa6+m3S2Ui46eAVkv+4oLYJSIBk+aTjfLmrDIKgAAAAAAs9ANN6bcrQAZIRWgt+u4jLasl54rNYLLtsPSnhqUIwRBAAAAAABlhowQAAAAAABQscgIAQAAAAAAVYtACAAAAAAAqBoEQgAAAAAAQNUgEAIAAAAAAKoGgRAAAAAAAFA1CIQAAAAAAICqkTV87hx5090CAAAAAAAob5flGncrQEYIAAAAAACoGgRCAAAAAABA1SAQAgAAAAAAqgaBEAAAAAAAUDUIhAAAAAAAgKpBIAQAAAAAAFQNAiEAAAAAAKBqEAgBAAAAAABVg0AIAAAAAACoGgRCrph1sruvX/r7M399e9a5x/Jbt6cv//Pu3y/9vVvdnSnQ13vL09+32ywlysXW3n7Zf7+7M8Oy26G25z7ZvdbdnQKd57Tar7VV9vfvN/831u6WvlnThsPt4477POup+zDXY/mO+0LbrOC5AgAAAECEQMgVoRdrGyR1olVaW8O/Pkmn6t3jV9HFvswytW2Sg24yylsySDK9oMlWaWtOS/99Xuu4v02WXuqXTYfc/Sk4eF+btHbscPcqTGz7jMv43CVBsMa3dre0zjWPubsZ3vZOBHdi22xWBX4AAACA8kEg5ArY2tsm8nirdD7oJlg7pLNSLwJRWe5fIqlTfabFZmy9IyUnv0b7zSe5fdKXUtKayNZY96HFkn7mnLvnybG9AQAAAJQOgZAZt1WWzB+RM7EgSDabIj9hFxW/e02f7L7VTXb8eUQp8u5X462aUh++rmB3Bs1eiT9H5xvOL+d74CrS/eX2iesyofuobb5I/Uozzez7/5y4v86+Zr9s9bpGJduLv2f1ov7cN/1cIdOm556TpzTbIfn82H1v2XK0O78rR3B7a9S+7XRv+fxsFts9xE3v2zPPTc2o9x7PlwWT91hx0+KvTW4v7YrjHYuJ7RXbPk767DmR2+/ynhdkfZx5MSU1bkoo2t66PBuXSk3NUtnglifaZjkeS+JYBQAAAHIjEDLT1s6T1HhaRtzd2MWWf+EqmS4qe59ZLBty1AHY2rtBll4Kn7ffXFhlutboPJacdV1cWvfKuds7Mxee5mKpVfYH8z4lsvQeb97z26KLpWB5dkifec7iD4UXTkEgR9P0C74Hror6lUvkjN0ffTIyv9Xujx0drdJ3UWTkcTO9bZP868T9IKRRL213nHH7sk/SzXn2pWmvrYmL+nV7WiX1zFMTdqOyzzu1171H24TdaGqaW0UeDpdng/SHy/f4iNQvc8GG+/fLhua09Nl5aqtebNbE47X11odOSmqlqx/i0WCCf7y1hV1QNi6Wcw8F03QZZKUfvMlsr72nUtLW3+mWda+clKXSFgvU5Ng+5zdJ/yXvefmyPvztfWiTtJl1GB8/KXvN+8Yyygo9ZnCsAgAAAPkRCJlph16QdE0qc7GmFzB6caIXMXbCOpk3d0T6vG4yB+/rNxe1yZoCyecdlE0nwvCKPuZ+8bdBjQ2ytKZGUgvdw+Ziab+r73Dwm+dkfO68zC/Tfo0QN299TvTrtblgq794xlywTfAeuCpGHu90F9M75MzFyewPvy15wS9tn16tGNt944RfO2ad3HV7ol5IHgdfTEtN84a8WRlJ46f2u2DJiKTHxzNdS86nozoa625NeevsjhV32/Lauq5L/8V6WRJ7f11+ye7WszAlEr2/SgYEM9tL10suhvU/DsoLl+xkJ//22XF2ROrv0KN6nexelsyyCWRv76kocKz6BZKzMlkAAACA6kAgZMbpRV3yYmwq6iWVzKGPMReO0a/ZwV/yV+Ki6QXkpcVy11pJ1Doo4XugDLjuG/4+tkVANTBWhAc7bRs5c4deeE/UJas49YUPgiLocZSWFybITpmyQtvnwT45ObdVdt9/lyzOWWg2x/aesjzHqtsn9o/iyAAAAKhSBEJm3EHZ9LCm6Oe7ENRflOulzesKo6n1QRaGT3/xr/cKLuqvymGeic6jJt7lZZp2nE3L4g/t9modlP49cDX5wTm9AJdMXYowU6CYIqk24ykIminNaEiGKrSrjnbJstkV/vynwGZVhN1kDHusuNuWtyy2m0lYnyd63+A48o8363xaJNY9yNsmk5C1fWIOylPPiCxduVTSZ3M8p2RFUjlWAQAAgEIqOBDiF2rUv+xaAVeM7c9/ThZv9JZH6xG4C6YdHXvl5NxMrY4Nt5+TvV5XmdCODlc7wT6vU+SZTKeA5DyKXl+/Roj/mgfPmPdaKuKl6U/5PYrgF3bM7koR7Muiulho6n+O+iqlYJcxMW+/cGf8sfyFQv11LVWmRJINGETFUbPva6aS2EwN/dNRjbJreBQskhoJupAsdW27M+V1Y/G2jbbpqMvKdDzYKX2XggKh9v3kXKJrTFpSn3LrZWt+ZLrRhJLt2BYS1WP08XS0Hvm2SWG5tk+c7cozflL6cmR9ZG9v49BTZg3zFEQt8NhMHqtlze8aNEPniStCA3szdO4oe2yb3Ox2cW1/GsHoclH4O0UFKcdzWpW1xUmrlM+pXKpl31d7G5+VbTgY5CBpzoKGRZfdbWuOvOlulTnTCHcv3CSbwl+DdYQFLSxIOniR9EJeC3FmX0iWml4wb0j1BzVK7L5KSb97X/0y0zZ/REYu1oucLaIrjh58WtQyRyBpynSeK+vNMoxIvXjzttNF+uyy6gG2QVIndBmD24uf2RsU4tTnLUu7tqePaaHNyV5kl1IR+1b3wz0vSJu3HW2R0Rfb6A6Vx7S2T47tjRKLnVv849U9XhaC5V4q5pwoKUlf1fPIbMO2yU/P+a2SfijYJvq52pp2n08VqNB3iopSlue06mqLk1YRn1P5VMu+r/I2PkvbcLgfPnrfV9yUQOVmhBxyQRB7+wVJ679+0VIUlLt7zkxIFK9MFLjUbhWt5mA6E9y9Olxdhc6z7r6jhTvHo64MQfHaoBim1qEIRtqxtDaEeF02TGucsRoVpaIZEomL8oP3EQQpZFrbJ8f2Rmlpty3JebyWE7PcbVrfpS/4TIOHbZOXLXqeqUu042snE8N5V5LC3ykqSVme06qqLU5eZXxO5VEt+77K2/jsbMOZEVCTqqNGiA5hq//6w9giD41k5u+eU3rZxStH0uOSurUEpww/NctPldZoZd9u2Rp13ZhaGnXOwp06Ik/Y3mLCEV10feulzS2X7ZYBYMbp8Zp+0fsQ1NGI/BG0gAplg/Zp79tPcjS7ijKD3ylmmXI8p1VXW5y8Sv6cqpZ9X+1tfFa2Yb0uyxMDqIJAiLmw124x5tbItIelrAY7pLNSRpTwR8jQ+g9+8ciapdIq++1jWshzKoUlte5GjRfl3XqHO81p7QZ/pKC1d8niKGbitq/9C2q+XPn+y7oMFZgmDAAAAABFqOxAiP7y398m9W4oSdL6K4f29QqzPfJnVWjfNPe8lfVBtoZ7RMZPRsU7D37zXBStLG6+TqJw55L0SRm/9IIc1FQwO1KQm9enRM5dHJf0efe6iBYarcxfqgAAAABgtqrsUWNsJogGQSiaNnuNSHo8JfO8rilZaVU5BLVDgr9kAaIgJS1ToMc+76GT0WgmhRSaby7+8/tksUiYDqc1H9z01rYXJDW/DOqCABUsKz1+YUpqbOASqGwHX0xLTcpLzC6QJlz+pvadohyV4zmtutri5FXy51S17Ptqb+Ozsg0X6J5UsYEQW+zT/Dt+aj9BkFntoDz1jNc1Ze1uaZ0/ImemmL2j3VOCLzzaTziThaHFe3JU9Cgds9ydzemchXi29rZJKioc5Nsqbc2SPWQqgJLTzC9pbjNHnVonu5fVy8hZOoihCjx4Rkbmt0a1sLbes1TkmacqNAhY2u8Us1lZntNK3hb1Ry9X583Vf9NLMM3uLcdhkyv6c6pazkNVdb7NNjvb8A45c7FeWnNk+ldsIER/AVA1zRuirg79/fvdjqk0WuA0XvDTdvFIjN2sQ8pF2yL2WFAgNXgsx3ySj2kR0hKOi33wvv1ycm5b8B4bF8u5hyZfvyJctzbpc12gtNuJ+TK0MVj2zlS6qIyQSbFdr9y2SQzP52+32LBZ/mv620QeJ1spf7s0YttL/4orbJv/S5D3pWmKYsurf1MdI90r5usva9ayx4r+Js5h/mO5jvepLlslOrRJ9p9KuULFwfDWdJdEddghnVony30e6udkJQ/lWIrvFGWhLM9p1dUWJ62iP6eqZd9XeRufpW14R0dQlzFpzoKGRZfdbWuOvOluoVzoBU+n7A8ONL0wWlkvIxdHpF7OBOPoKztdpC9rXOfgtjbU6PXL0rLXFkvVxzpFHs6+WNeLtSVnqbuCKdDgxqdE9odtbE+9bLpP26nfLs3dWJt1zLT9prVP1O7yt8/8bbpYseNtyrbK/r550me3gXdbt809L8SG0t26Z7eM3OeKF/vHpz4371jtGtxcImcoigsAAADIZbnG3QpUwagxlU7HzPe6ZLiRUjrPBndDdjinnOM6axcSb2zlB/vkpCyWu6JfzHPXttARUypmbHNcRaYt2iBIKOzOZC7kk0EQZdp35Qbf1snuT6WkPzFs9Y4wCKJ0GDJ3s+BY7fcvydMdCwAAAACBkHKnQ7PKxEV4wq5CMTpSihbxcXczaiS1UP/VIEm9S29KjKJi+8Atiafpo3LEuqS47hh2WqZrhmZdBG3C71qVaCfJ+dgshqVSUxOMthPvEqIZDS5Tw1zI1188M8GFvGZBZN43bzcQzaKInnOXmxiKzyNcHs366NuzNfPYBF3Bsrqh+Nsq17Y0a9b3zGI34lCbyIlNIns6zfpPkMHhFZ0qNFZ7plYOAAAAgCQCIeWuyGq8msFRc/td0cWcXihZh56Sc+P1siS8INXAShQz2SGd4cgnrUHfqsyFa3ZldlQIvXDXrivhvn9cpE0v8l2/P1ts6P79Xr/HZDsJiyRtlf22f3b4mLnIN/No0xF8xk/KXjMtzO7QQILWUonuawZTOAKPYQMNLpgQtMGgK4h26QrmraP2mCVKFkLSdVmZssNn2+edTcnSqH3rPLSbTLh8fSIrM4GemuZW99heOSlLpc0L2vi1h/Q9D97XHwsMRtka+balcfC+Nve+uh22Stvt56SvYLaLZsmYdfnaRHke62Te3FzDNQMAAABQBEKqxYOd0ncp+BVeL96WpM3FqA2gHJRND5+U1Mpger+5aDt3MddFlBYfTQyJhMqkwTWXsWHbxMr6IHvIPKRF6M7dviGo3eF14cgEKto0jygIkNmsjv6ianHUp+Kj5ySHHwuDBntNGwzou5yU/V6djh1fOyniBfsssy7ijxylXb+iqrma8VQTFbSKLbuRGXFKRyGIt/3xU5kATBgM0orUQUBRu6u59SmwLX1be1sl/bBmhSQDPo7NatGaHxTXBQAAAKaLQEgV2dHhfpU2f32yWCT8xV1/pXfTW9tekNT83HVBUEUu9kVtJWgXYZ2Kg/LCJXsjokGQDal+99y9UaAhmdVRyI6OxAW+dvMoQdcrXYbCRqTPX89pBBo0EJPSGh2aVXXJCwDl3ZbO2t3SKvr8ICtEM2Vsdsoy1x1HgyB3nDHT4t1mZuVY7QAAAEAZIBBS7ry6AEUzF16dzV6BVc/W3rY8RRbNRVqz/6u9/ppOwKQi2SBEZgx0X9iFxe/iobUqooCH17UqGEu8s+jhbmPdWsLht/LW5hiRtCyVTu81ucZqj49nbtzf5nWN0e5duccVnxLtZjZ3iez+0GJJh2OmF9iWgdwFUjPM48vi2Teh/GO1a7AqrPNjaCDF7ivtCuSGDtYuOyUcAhsAAAAoJwRCyt2hFyRdk5JMJ4I89MInTM+PhtwM6EVomI6vF7nRsKD+a7Sg4+Per+VFFbNEWdIMIW8MdP2zQQpzQb0hDKBpF5O5QU0O2yUlrJlhLurTYdeTrPm4+hsaMJDsYqlJ2h1mb1RQNPjbENXROCib2oK6NeFjOcdqDwMq4TzuSHtdY7LnMVFR1JBfIyTzGu1Ck5Klfq2PfNvSWbenUxY/EwYeswuoHrQBx0zB4uDPBTNi6xYfqz0rWwQAAABAZM6ChkWX3W1rjrzpbqFc6K/0nbI/+yJwBmnwZMnZTLFLAFfnWMxNR/LRmiITjEIDAAAAVIHLco27FSAjpALoiBXpIrsglISOGDL35AQjXADVJtl97GrS4sapqPsSAAAAgAwyQgBgmmzB2OYaGXmcLCkAAABgtklmhBAIAQAAAAAAFYuuMQAAAAAAoGoRCAEAAAAAAFWDQAgAAAAAAKgaBEIAAAAAAEDVIBACAAAAAACqRtaoMa+9mna3AAAAAAAAytsNN6bcrQAZIQAAAAAAoGoQCAEAAAAAAFWDQAgAAAAAAKgaBEIAAAAAAEDVIBACAAAAAACqBoEQAAAAAABQNQiEAAAAAACAqkEgBAAAAAAAVA0CIQAAAAAAoGoQCAHKVPeRU3J4m7szwzp6BmSgp8PdUx3SMzAgPfe6u1Og8zx1pNvdm6puOXzqsPm/cW+PDAz0mCWbDcLto/+eyrueug9zPZa9vQOFtlm+1wAAAACIIxACVKBkkGR6QZNuWd0yKse7et19Y9tqaUkfl64D7v4U9HYtl+bV2929ChPbPmMylmoKgjW+e3tkRco85u5meNs7EdyJbbNZFfgBAAAAygeBEACFbWuSusEj4ocsupvqZPDRCg1ilEBy+4ym62RFIlujY3mjjA4NuXueHNsbAAAAQOkQCAHKmnYNOSWn9M91mdDsj/YFIg2rzLSBHjmUuN9hX3NYurcdDl5n/qIuFTmyDPSifmjAywYxr29KDckJzXZIPj9231u2U9ndaPyuHMHt7qAbSbg83vL52Sy2e4ibPtBzm5uasdB7PF8WjO2SEs3DLb0uu5sWf21ye2lXHNflRe8ntlds+zijp4dEGpd5zwuyPk4/Xye1bkoo2t66PFtapLa2RTa75Ym2WY7HknKuIwAAAAACIUA5a1jVJKebm6W5+agML1hhgw3bVzfL0Qsiw8fM9OVdsjZxPwhpNEh702nzuuC1oy3rc9f7MBfcKxIX9R09K6Ru6ISbT372eYO73Hssn7AbTW3LCpGecHk2y6lw+Y4NS8PdLtiw7bBsbhmVo3aezbJPGs2aeGpbZIWZal+3c1DqVrn6IR4NJrTL0eA55m952AVlS6MM7Qym6TLIKj94k9leuwbrpP3Ueresu2RQWmR1LFCTY/s82yXH097z8mV9+Nv7QJcsN+swNjYou8z7rvGDHYUeMzQI0nQ6XJddMtSYZ/8CAAAAVYhACFDGho+tcRfT2+X0hVqpW2TvFGFYjkb1ObbLkUGRxuUdwQV2FCwxF/XafePJzH0zRZY1JuqF5NH7/KjUtmzOm5WRNDa4zwVLzsvo2Fima8mzo1EdjY5313nrrDUzjps18YwNyr5w2cy6HL/QIE2x99fll+xuPYvqzMTw/ZW3TazM9tL1kgth/Y9eeS5tJzv5t8/208PS0KRhmQ7puTuZZRPI3t5T0SG3pVwGkM0I2Swtta5teFk22ZksAAAAQHUgEAIgD9d9ww8k2CKgp6NAREHb1tiMhNNNeuE9vRFmQgtvTnYkmayFUlc7Ks9NkJ0yZYW2z7YjMphaIT3blkljzkKzObb3lI3JYJTdEvzZrBG3T+yfF/ACAAAAqgmBEKAq+ZkSegEumboUYaZAMUVSDzwno7WNsswFOTSjIRmq0K46u8LsCn/+U2CzKsJuMoZ2Q4l3jcksi+1msmA4CCxE76uZMw3SnhyC9tlRkVj3IG+bTELhIrK9cmLIvM2qFhk9neM5JSuSqlkqtdLy8axxagAAAAAYsz8QohcwYSp33nRuV7jQf6yo1xXLL/ro/2n9AX2sNL92B6Yyv+zX2EKJiYs9v8hk/DF//TLz8YstRn+6HTW9flrbM5v/XtldKYLlK6qLhS5b8iK3RGZ0mwYPl4wNGETFUbPva1cPsZka+tcuciy7hkfBIqmRoAtJy5ZgXutv9rqxeNtmc+NQpsvKdGxbI0fTQYFQ+34ylOgaMyp1XW69bM2PTDea0PbVu2Qw1R4tmy0kql2Cjo1G65FvmxSWa/vE2a48Y4NyJEdbzt7exoETZg3zFEQt8FhyHYNzFWJdg2boPHFF2M+3Un7uVIhK2b8zwf9ONAOfObNN4e8UFaQc23yVtcVJq+TzWLXse9r4LPyeEsQKkuYsaFh02d22Xns11uH96jMbsmdRl3SZDzK9sNrcUitjg7uCAoeWXnC2B78Ka+HAMN17wtdNjc5rvezLOx/98NUihcnihTMptkx6Al3VIMMXzIWvnJbmsA6EnS5ytFkvDLUxbJa6J3U5g9uNQ27b6PPuHs1sR4+/bqVcT7t/bj4eLKseOFvq5LhdzuB92hcMm/Uxe7iY99Pl16KWUf2LErhC2/TK0WNGi6xmBwkiuh8+/pws97aj7qfVzy+/wstaPqa1fXJsb5RY7NziH6/u8bIQLHeLmHOi1Mloz2SDdRWsIvbvTNFz/goZ3Rm0F/3cWfHy9L8PzVaFvlNUlLJs89XVFietos9j1bLvq72Nz87vKeF+uGfrY25KYPZnhBwIghmqd2DI/tpce/PCYILd2O1SZy5Qw1+hIwVfV0kSxRldDYA1p4O7IS0yORal3fdK15Pmot4WbtSaCcPe64/IoHjdC0Lm5LwilfklO1P4cboSxSsTBS61W0Wz+UBIrM6VdYW26ayiGRKJi/LeLoIghUxr++TY3igt7bYlOY/XcmKWe7nWdzkio24KApWxf2fItiZpiAo8m8/VR7Wvoj+cdyUp/J2ikpRlm6+qtjh5FX0eq5Z9X/VtfDZ+T+mWpgXedZmnrGqEhPUHhqP+9cHGXv5o4U2d/bpS0shfkHau0ab2BW60BpsKpYEalxqlf16Kmz738DZ9bfKxzPwszSYIn5MrvereZeYSe1TOu7v55CwymbpNOu69Terc3Yzs0Ud0G8ZGs9h2WoYXNGWWc8qyi1eef3lM6t5dglOGv+389CyNuJtt2d0Tdt2YWupWybcpgBmjx+vo897RpqMR6fHq7qK8sX/zs0H7l71vCba2U5359K1EM/idYpYpxzZfXW1x8ir5PFYt+542PgvpddlY7mvlsgiEaNBAL1g3t4gdCaHYX12n+rqp0uyFoxdEho+FIzK4qJgdpUH77K+IXXA3rNLuCfrYURleEH/M0gt22/XCzSPXKA+L6qQ2/dyEF9OawVHrRSS7m1yJSa0zMOb9WqKBlazr+1yjWegQp3Vy2xQCCFeMP0KG1n/wi0fWtsgK2Wcf00KeUyksWfpteqVslzWVmCYMAAAAAEUoi0BI0D3CXcxqMcMiiwdN9XUlFWUlbJaW2nhWwPCx8GJUR7LInTGQSZGbpkSRyaaXB2XMBlB6patnUOo0i0Uf6xIZujAmo8+616mSjWZROmGQS/9sscucvIycVQ1BtoZ7ROvJhMU7bdcp91hx83UqbJsCAAAAQDUoq64xtjuG/jvZNLGpvm66wiKZLitBs0UmIytFbpqiwJD5OyKNImHqltYncNOblz8ndQviaaU5R7MomezMkmLW21+XZAGiICUtU2TKPm/nYHYdmRwKzTeX2blNASRlpccXmU2H8sD+za/3+dF4jbQCacLlb2rfKcpRObb56mqLk1fJ57Fq2fe08VmoQPekWR8I6ejp8eplNAWjwxRxUpjq60pJ+4ll3lMLtdgbRQuGPJ1g2Mup9B+8t0fWt3gFVj3dR9oTmQq63PGL+EB2P9yp6ZUTQ17XFC0gumBYptplRLunBF94dPkyWRhhnZgZU5JtCmCmaOaXtKx259MO6bm7YYbqRuFqYP8WYGt6Zbrfdn+8RWToREVcXGUr7XeK2aws23zJ26L+6OXqvGl3cldLL6jDZ59QVir6PFYt56GqOt+WC+150SArcmT6l0FGSKO0u64HtnuDDpFb1OgKU33d9ATBC/Oe5mQsXcfNwdAeLMOpJpFJZoRo14tdg3WZ9chVLLXYIjz6ARHOJzGUnN8dJGuIp3yRTFsV+XRJunb0du2TwZTbTlsaZWjn5OtX6HB5+vp2OepqwWyXI1r7Q7tEmenrbx4tKiNkUkq9TVG0nF2Y7P6YIHA4Ib9YcaJw8WQVWh7vC9uU2HknivzGigNPdztUoANdsi86nwbDWzMKUgVh/xawXdaEXYTN9tHPyUoeyrEU3ynKQlm2+epqi5NW0eexatn3tPHZaPvqozLastndy5izoGHRZXfbeu3VtLuFcqFBgPWy74oeaHoh2nS6UsY2x6ynF/lNp6XZBjO7pafnvHTZ9q7Bisx47dOn89MixvrF2b9dDP1lar1IzjHTE49pIKNLZF+uAsgF6Xxyj8/e3dMj57vc/MJueZOePwAAAFB5brgx5W4FyqtGCHLq7Touoy3r478OzyRzkdWeGpQjBEFwVWx3QZBQNXUzyj8++/YwCKK0y5y7CQAAACCOjBAApaFZCNoNTWlXtOVdIj0Dsvnm41EmR5S9sch7rrlkH/QzOpLzebJONud8bv4sC33f9XJchhrbpaVWZ7NLlj+/OpqvDnEdZjNpRtVmfZIxNjgooy118YyQYyLt7nV2Pjkzr1ymRliI5sJRaX70Nrc8J2RZ3se8DA5/nSfM5CiUfWLo/KIMGgAAAKC6kRECoPTCC283Us6uoUZZ39Ph+moHRaO0aKwccxfu29ZEz7XDW3uF7QZWiRwNH9OAgD732HAQQGjOXPh3H9FRgfIEAozalhUiPTqfoF9gtHxmXg13u/ocZrk3t4xG77dPGoPCypEGaY/WS+eTL/NKMzV2yeCYBmrMc2MBiEKPGXm23dR1y+FVdTL4KEEQAAAAIBcCIQCmzY6QFBUGPmUzLILhw3qlq2dIGrf4hWyVZjQEz7WZEG7kIx3dR2Ij7OTTIbelCo8EMDa4zwVJdDjFsUxgwOs2oss9fCxTA0S7mdmhtiPDcjQKXAQFeBuXmyW1xUrd8k+zMGnebTeV99Cgiq1rkj9ABAAAAFQ7AiEASkK7jYRZDfYvDCDoyEbBLSfoRlL3pHvezsEoMLHw5lo3/PFENMti+iMB6PtNyYEuWR6t6/SXI+e2m+x7RJkl018eAAAAoJIRCAEwbb3Pj0ptNPa9T4MeWhekWY5KuxvXf6HU1Y7J6LP2CTYLJAxHBMNPF5P9EGSUBPObOvt+YTcZo6NnRVbXmKboPbpltQ4HP1BMoKZ4+bfdZJjtcbd42SseDZAc0bnrNnND7mq2yXSG7wUAAADKGIEQANO3bY3sisa+D/40SKF1PFrSx203je2PDkrdKr0QD7qYhGOsr7/ZG+EkOZ/wYn3baRm23UfchXypmPc7mm6Rze791stQVtcYaXLLcsqrcZJTr5wYcutlAw++Ao/l2XaTo8Glhtg8Sr6tAAAAgArBqDEAAAAAAKBiMWoMAAAAAACoWgRCAAAAAABA1SAQAgAAAAAAqgaBEAAAAAAAUDUIhAAAAAAAgKpBIAQAAAAAAFQNAiEAAAAAAKBqEAgBAAAAAABVY86ChkWX3W1rjrzpbgEAAAAAAJS3y3KNuxUgIwQAAAAAAFQNAiEAAAAAAKBqEAgBAAAAAABVg0AIAAAAAACoGgRCAAAAAABA1SAQAgAAAAAAqgaBEAAAAAAAUDUIhAAAAAAAgKpBIAQAAAAAAFQNAiHFWLtb+vp2yzp317p/v/Qnpm3t7Ze+PWaKPr9/v2x100tp3Z6+4D0mS5e3vz9rmUO67PZx97f/fvcAZi3dZ1dqP2W3u3Wyu69Pdq91d6dA59nfO92jZKvsD4+1XMfpVRNuH/3XHFN51tMedzkey3ecF9pmUz43AAAAAFWGQEgxDj0l52Sx3OVd9G29o16kJiXm/846mTd3XM5986B5/iZpa+2UHe6Rq89cjC1LycmHWqW1bZOYJYzRi7E26ZPWVvO4/dsr6WUuqIOylAySTC9oslXamtPSf5/Xcu5vk6WX+mXTIXd/Cg7e1yatHbPnKCmp2PYZl/G5S7IDo2t3S6s5Z4y7uxne9k4Ed2LbbFYFfgAAAIDyQSCkKAflhUs1klro7poLlSXzR2TkYr0sCS8u194li+WcPDWNC8Or4v790jb3pOyNXZAelE1tfZJubsu+eEP1uX+JpE71xQJ7W+9IycmvVWgQowSS2yd9KSWticDiug8tlvQz59w9T47tDQAAAKB0CIQUacfZEam/w4UF1s6T1MUz0ulPW5iSmksvBNkW0S+1mrYf73ISZFm4dPlwepTqHqT579b09/6w24E/j/1yl31eHmH3F/sXvl7fa4MsramRpRuzszzW3ZqS8WeeysoSERmR9HhK5pl52PT9aL7mj1+hZxGvfbh2ZDN85ovUrwz21X9O3A/a5X7Z6rWXqF3kyDLQi3qb6RTZKkvmuqBf8vmx+37bze5G43flCG5vjY4LO91bPj+bxXYPcdP79sxzUzPqvcfzZcH4bTq27m5a/LXJ7aVdcbxjOLG9YtvHSZ89J3L7Xd7zgqyPMy+a84abEoq2ty7PxqVSU7NUNrjlibZZjseScq4jAAAAAAIhRTuflvH5QXq7/pIr6ZFg2tx59uJGu8qMnE3+hrtDOsPuJg+dlPHxk7Lfdi/QjItMN5STc1u9i8R6WSz7zfQ22XRIL7baJHVqr3vuGUk1Jy+bHL1IWynSF73fOVm8US/Y9L3Me4yP264xbX73BqM+VSPpF7PDIH4WzI4Ob1l1Pg9nd6/B1VG/comcsfumT0bmB+1I91ffRZGRx830tk3yrxP3g31XL213nHH7VbN/OrMCFZa54G5NXNSv29MqqZzBszj7vKjtant2D+RR09wq8nC4PBukP1y+x0ekfpkLNph2vqE5HbXz/eZoyXRPM2qWik61rzPHXGqlqx/i0WCC3xXMHhM2sLBYzmn3MTu9T2SlH7zJbK+9p1LS1t/pltUcE7JU2mKBmhzb5/wm6b/kPS9f1oe/vbWLnTtv7DXv2/lg8BSr0GOGBkGWnA3XZa+cuz3P/gUAAACqEIGQYmmdEJchUZ8SVwskrB0S1AdJn3fPzbJOdn8qJf1+fY7o1+UgWyPT7WbEq8VQLylzmRUET9QO6TuVXVFAaWbHyONeXRJzodTvd93JYyQ9Lqlb8/1aHF+ndXs6JXVi4gtaXDmZfb5Dzlz029FERqQv6g6l7Upk8YdMO9ALbK+d2u4bJ/zA1zq56/ZEvZA8Dr6YlprmDXmzMpLGT+13bUuzkcYzXUs04BjcymrnB+/rN8/2RMFGI+cxoMsv2d16FpqDOnp/5W0TK7O9dL3kYlj/QwOGdrKTf/tkssrM+WBZMssmkL29p0LPRxokCzNCvHOMl2VDZhcAAACqFYGQoh2Up57RC6PdsmR+Wl6ILoLMBcaHCtcH2dq7QVInvCCFXowsS9tfcvUXW/21PiftguNuzhR7sRpL2Q9pHZRwPQ39JT7Vn/XLMyqZ677h73NbBPRMpi0X8mCnbd9n7tAL7+yuMVOhGUzTUy+pGq9dl1qh7fNgX5D9db85X+QsNJtje09ZkAEWZIQEf/bYdfvE/uUonAwAAABUAwIhkxAEDRbb+iDhhY7+ypsy06L6IAmaht+a3hsLIOiv2hI9XwMO9kY2m3Hip93rhVLuC0Fdtnq/G4Cm2M8fmfiiSi/OzHtsiA3JqTURtEuOS93XbgMauKnUET6qkp8poe3KZTnpvg4zBYopknroBUnXZEZU0oyGZAvVrjp7w+wKf/5TYLMqwm4yhnZDiXeN8UZ38o+B6H01c6Ze2pJD0J5Pi8S6B3nbZBIKF5ENgqlLVy6VdFY3OqNkRVKDAO3Se5KdggAAAACoMgqEuOKE/kWUXtyEad5Zqd5+oUb9y64VMGkPnpGRmpr4RYxeQJlp2fVBDLN8nc01tntAtBzmAsym889vc9OWiOTLCDEXNJse1joH4ToskXSerjH6S29Qu8A919Y7KGYI36BeiVZNiJaxv03k8bCeiHbryRRlDB4Pi0WWYJs6fmHH7K4Uwb4sqouFZtskL3JLxC5jYt5+4U7/sdj0xIV/vteUkg0YRMVRs+9rVw+xmRr6p/s7u8tTwSKpkaALiRbi1Xl1prxuLN56brj9nNfFaxpMO++7lGmLnXIu0TUmLalPufXKcwzs6NC6PJn2bguJapegx9PReuTbJoXl2j5x9tgfPyl9OQKU2dvbcMHQnAVRCzyWXMeSnP8qgd81aIaOvRlXCeswk+z3gtJkoFUU//tS4jOpUtnPoEpf13I8H1RhW5yUij/HT+I7fbmq9jY+K9twEEdImrOgYdFld9uaI2+6W7NJkKFgf/nV4oBhSrdpaLsXbpJN5qJCP/A2NNfI+Km9UfHD8DHbIHWEBf+1mCazT3pFOkuQJWL3XapfWnVedl+lpL81uIDV4EObG6pYzmYXhcyiB58WtSxl9orOc2W9WYYR0wa9edvpWqBWl1UPMO0CFSzj1vu3yo4Hg+fpOmhWkG2XBV5z5ejxpEVWCwTKdD/c84K0edtR91Pbi21XeFnLx7S2T47tjRKLnVuu1rE3TZWwDjMm2B5LxXxeSErSD1PPKkPP+a2SfijYJrHPpEpkj5OlIuYzW+amZX+lfu8ry/NBlbXFyarwc/ykv9OXpSpv47O0DYf74aP3fcVNCZRBRohuxDZJmQ+0rFyIQy7QYRz85jn7eE3KJcp7j9n0ff23JhVPo8fUaRq/jpwzbYnilYkCl8GINZ1yJrh7dbi6Cp1n3X3HDj0cdWU4KJtOhMUwzXK7IIjSbIywXRZ6zayiGRKJi/KD9xEEKWRa2yfH9kZp2dG+yuHYK6AS1mHmBNmNrW19wec9MszndX1U4Nl8Jn3tZGI47wqj51Pzmd32tcpuCWV5Pqi2tjhJlX6OnxXf6Wdalbfx2dmGtQyFPxhJRhkEQoIvNxN9oOmG19oEubuouKKj4+l4Gj2m7sHOEkU3s4tXFh7JZhL81Cw/VVqjlX27ZaumzSYfm4SchTvdcMo+f2jlYl8DoLSyhgr3hj8vF5WwDrjybADe/+HC1nbih6FyV47nA9piYZzjy1+1t/FZ2YY1DpAnBlD2xVI11UUvZjc0ix0lIfsX2a2yX7vFmFsj0x6WEmXFHyFD6z/4xSNrlkqr7LePaSHPqRSWtJkeXpRXAx4ZmhoXtM0lXvpf4ddcKTuk06asAQAAAED1KftASJBm5S50tdChX5RFf/m3tUWCoSRJ668cYQBM/2yxy5y0W5V73sr6eObF+MmoeKftVuUeK26+TqJw55L0SRmPRgPSYEPQNu3wsWG7LPgaAAAAAMBMK/tASERHdNF/o4vdMBNEgyAUTZu9RiQ9npJ5XteUrLSqHKIAmPlLdtEJUtIyBXrs8x46mV1jJodC883Ff36fLBbJUTdlR0efjMxfYlpkeH/i1wAorawudwtTeYc9n60qYR1w5dmh/8P6aapAmjDKRzmeD2iLhXGOL3/V3sZnZRsu0D2prAMh6/bsji4ubXEa/ddt7HV7Wu398VP7CYLMagflqWe8rilrd0vr/BE5M8XsHe1qEgRRtPbIuKTPB9PDGjIzxix3Z3PaFeLZKlu9YcFsW7x4JrsrSuw1AGaSZn5Jc5v7zFgnu5dlaveUi0pYB1wF+kPR/NaoFtbWe5aKPPMUF1dlrizPByVvi/qjl6vz5uq/6SWYZveW4/CsnOMrQJWfb2dnG94hZy7WS2uOTP8yzwhZLG2ui4Ht+qDD47qRFzSrQNU0b4i6OvT373c75krSk3T4/v5fcOIuzcla61HEC37aLh6JsZvtmPrh+3uPxaYnxrvO+RotQlrCcbEP3rdfTs5tC95j42I599Dk61eEy9kmfa4L1A7p09of2l3KTO9MpYvKCJkU2/XKbZtoqCg1IvOWuenmb8Pt56J2mf81VcTfBu6YzD4OguMmNs2+LvP8CbsuTYkeS+F5wjt2/fbufdkKxI/x+HL5j02iKG9Y6Fffxyv662+PrG0WKw58Nc51s9yhTbL/VMp9ZmyQxc/sLb/ukpWwDrgKdkhn2H3YtB39nGS40gpQlucD2mJBnOMrQJW38VnahjU7P928wd3LmLOgYdFld9uaI2+6Wyg5vVC544y0esNk6sWMX0xzKjQI0Cn7gwNN32NlvYxcHJF68d7LThfpsxfeenGWGdd56/1bo+FedXmi8a4LvaYEy40qoYGDT4nsbwuKFWsmV/19m0ybCtruhpRpc2eXxI8Nfc3GpSKnvLHXcxw/paeBkCVyxrT5EbNsbS8GQ+Lqcoa3t/b2ybyved3tzLLuXhgO1519nMSOp2Vp2eu2Q346j06Rh/U9zPL0zZM++xrvtm6fe16IDbm71WzXEbNd7byLfi8AAACg8l2Wa9ytQOXUCKla6+Su273uFW6klM6zwd2QHc4pz7jOYRBE2VFNXN+2gq8xz6uksc1x5Rx0QZCQremSGF7LjkN+0UxPjLBz1dPr7t8vrelEd7tDYRBEHZQXLrmbkhi3/ME+OSmL5a5is0LyWie7P5WS/kRAaEcYBFG6Pd1NAAAAAHEEQmYF/RU6SKHKHvXGTc+X6r72LnNpNXERnrCrUEyOcZ39i82Cr7F94DIFQFHuNAshbGthlwttl5nuHLb7kW2f8ecWbLMus6OmJhgpJ9mVQ7NBbLbEoafknBckqE+JnPtanzdtncybm6n5EnULib1f8Gena0ZENM3rkqLP79stu83rw2Mq7Falf3175gXPMw7e1y+yMpiu3Zv6HjTbY1k6Gm0oN285swpkaZCkRlIL3d2cyxhklCytqbFplX17RqTvmcVulKE2kRObRPZ0SurEBF2qKLAGAAAA5EUgZBaoX6mp+DqKiI4u4grs6AWbdidwo4u0Pi7S5l9whoq84LGZHolf1zMygRi/u0vh12SP9oJyFXbFCEez6RNZqUEC189RC9ma9tgZ1To5KJvawufulZNzw6JQph3ZGi/hY+Zi/dAmadMRe7R+j5kWdaXS9q1dN6KshiBIsPhD2to0kyItLxzyAgc24HdOnkoWPtb52/cyf4+PiFx0NWJcZlQw3a1DqGappEw7t8unwZjmtPS55+4375Jp5ZkhkFvbNADRagMRBcMgezpl6aX+iQs0axDEdjtz83/onCzeqNtct63ZpuPBkN8aJDp4X1vwHPPX+eBWabNBGTefnMx+WJmSk18rGCoBAAAAqhaBkFlg5PHw112tausu/DTA4X5Ft78YazHYHBkcRTMXhn2XMvNbkjYXp1EAJXPBd+YO83gYcCn4GlQOHWEnyEAIshPadEoQ5NI2IG1BEduHvSBAlM0QZC/YNqsjN10sIgigTPtOVtGOumVpJoUbZSfqgjVhwC/I1sgEVrysleSxM34yCiRo96/M8RdkgeTMrtJAUKrfBiKi7K0cBVO1Vk8xNUyS76sBnf6L9bLEz5jJYWtvq6TNfhAviyW7YKoGVhkyHAAAAMiHQMhsdrEv+iXY/k2z8OGOjsy8+mSxiNZmSNCqun6Xl2Jeg0owkslOsH+ZC2kdEzxGL7Y16BC2i4vBZFtTptj28WBnpghqyHW32q31QcL5uNohuwvWB9EgRBAgCOYYdC/RgqV2XTQjxU7PlrP7Vw5b71ks5762Q3QoZHk8mO/eZxZLmw1CZDJqYuuUNW55vHvPpK3dLa2igaYgKyTY/n0iy1xARveLFpO1xY0BAAAA5EMgZLbSC0BvHOq8EkUmi6K/bjeHBVa3ylbvF2W90Kt3v8bHxF6jNItAuy+4uyhj2s0p9/jaenFtR3XRrhufCi64NeAhUXaGdmOxN9zY4Z0Tt1mlF+2xjAoVdLdafLvIuW+6duZqhywuEEDY2qtBDz8DQttm5vlaeDVfuMNmnISBBMO2f3c7YpY1q0Cq7/42WfxMrscT45ab5y113XsOvpiWetv9yNEgx/wROZO3y8u6nAVSM8zjy0T6cj2u2zqq7eJqkZj3iw8BDAAAAFQPAiGzldY+8Mah1r++XBeqWb8656EXPm4+/RvNBVX0q/GIzFuWeQ8tChl1L8j7GsN2g8gRMEEZ0roUwfjaYTuwQQrd/2GtCe26od2kzAW17T4yv809d4mIywjJbrPuQt8GM3IUS81yUJ56RqQmVgskqBMSn+YxF/lt87XOTviersDoKYmWozNVYASVRPevTvM+8ZwWrbchUQAwu4Cq2MBQjb/t9M91LwvHLbfTtCZImNVl3ndvNM66+bO1VfJncmjtkcXPhCM47cgqoHrQBn/qM/Ozf16RWAAAAACROQsaFl12t6058qa7hXKho15obYKsrgYzSEft8AurAgAAAAAwG12Wa9ytABkhFUB/pU4X2yWhFPRX+LmZgpMAAAAAAJQLMkIAAAAAAEDFIiMEAAAAAABULQIhAAAAAACgahAIAQAAAAAAVYNACAAAAAAAqBoEQgAAAAAAQNUgEAIAAAAAAKpG1vC5r72adrcAAAAAAADK2w03ptytABkhAAAAAACgahAIAQAAAAAAVYNACAAAAAAAqBoEQgAAAAAAQNUgEAIAAAAAAKoGgRAAAAAAAFA1CIQAAAAAAICqQSAEAAAAAABUDQIhAAAAAACgahAImREd0jNwSk6dyvwd3uYemqLuI6dkoKfD3Zu+jp6BKSxftxw+ddj837i3RwYGesya4mrRNjHddlUsbS/x9qdtfEB67nV3p8C2wSO2NU3DbG2T4fZx54I866n7MNdj2ds7UGib5XsNAAAAgDgCITNmTAZ3Nktzs/nbOSh1q9zF2hRtX90sy7t63b3SGBvcVbLlw+ySDJJML2jSLatbRuW43/62rZaW9HHpOuDuT0Fv13JpXr3d3aswse0zJmOppuzj694eWZEyj7m7Gd72TgR3YtuMYCQAAAAwJQRCroQDJ2RorE5um8av5zNqti8frq5tTVI3eET8kEV3U50MPlqhQYwSSG6f0XSdrEhka3Qsb5TRoSF3z5NjewMAAAAoHQIhV8K9y6RRhuSE/XU40W0mluauaf7hY4elx0t193/RD257z/Xnse2wN++e4rovxH69TnZ5mH4XCMyk7Hag7aN9gUjDKjNtoEcOJe532Ncclm6vrURdKnJkGehF/dCAn43ULU0p156Tz4/d99tzdhvyu3IEt7ujY8NO95bPz2ax3UPc9IGe29zUjIXe4/myYHQbZebhll6X3U2Lvza5vTR7yjuOE9srtn2c0dNDIo3LvOcFWR+nn6+TWjclFG1vXZ4tLVJb2yKb3fJE2yzHY0k51xEAAAAAgZCZUystW9yFSJfIvuVdElxK9krXctdlpnmXDKZWuAtEvbBql7qwu0rzaalrSV4iZTSsapLT9nlHZXiBm4deHK2qy3TJOV0nBWYhtS2bg+XT1/DrflnK1Q60G9XRCyLDx8x00+7WJu4H7bBB2ptOu7Z2VEZb1ucOdpk2tSJxUd/Rs0Lqhk64+eRnnxe15+UTdqOpbVkh0hMuj2mb4fIdG5aGu12wYdth2dwyKkftPJtlnzSaNfHUtsgKM9W+Lk+XLw0mtMvR4Dnmz3Y5s4GFRhkKjx2zDLLKD95ktteuwTppP7XeLas5hqVFVscCNTm2z7NdcjztPS9f1oe/vQ90yXKzDmNjg7LLvO8aP9hR6DFDgyBNp8N12SVDjXn2LwAAAFCFCITMmLBGiLlArW2UZf5FSPTL8mZpqa2VukU6caHU1Q57dRi2y5HB7OoBoeFja9xF1HY5fcHNY1Gd1F7w6jZsOyIFZpGpEdK8T6Qr/6/nmL1ytoOiDMvRqD6HtjWRxuUdwQV2FCwxF/XafePJzH0zRZY1JuqF5NH7/KgNthXbrsYG97m2e15Gx8zxEwbnnh2N6mh0vLvOW2etmXHcrIlnbFD2hctm1uX4hQZpir2/Lr9kB/7MsSPR+ytvm1iZ7aXrJdFx1ivPpe1kJ//22X56WBqaNCzTIT13J7NsAtnbeyo65LaUywBKnme8LJvsTBYAAACgOhAImXHbZc2xUWn5uPtdWi9E7h61v+JqEEJ/qbfuvU3qxkbNJeDU6UXi2MtTmUOvnBgak7p3c1kEn+u+4QcSbDeq01EgoqBta2wbP92kF96l6V618OYCKU5F0YDjqDwXBTxKrND20cCkZoBtWyaNOQvN5tjeU+YVa3Z/NmvE7RP75wW8AAAAgGpCIORKsBdA7UEf/3fXiaSfcxcg3dK0wN4ICpbGUuz1omhyF329A0MiLaszXQH0oqyoWeiv2LUy+rwulf7CXZv5JVzrm0z32hOzkJ8poW1NMnUpwkyBYoqkHnhORr2MJ81oSDYX7aqzK8yu8Oc/BTarIuwmY2g3lHjXGC/7SruZLBgOAgvR+2rmTIO0J4egfXbUHDt+9xFvm0xC4SKyGnA0b7OqRUZP53hOyYqkBsdwFHwFAAAAEFNGgRBXnDBxEeUXTow/5hdq1L+rOTxsr3Q9aS7gVh2WhZrKv6DdLVOTSJgRos/p0ZoG4fI2yWihfi25HOiSfbZ+gZtH02jBrjFRjZBTm6VxaFdUZ2D7o+aqNXysq05GJ7kYU+EXdszuShHsy6K6WGjGTfIit0TsMibmHWt/sce8YprJbAi/e8IMLasNGETFUbPva1cPsZka+tcuciy7hkfBIqmRoAtJWA9n/c1eNxZv22xuHMp0WZmObWvkaDooEGrfT4YSXWNGpa7LrZet+ZHpRhPavlpr84THoCskql2CNHMrrOuTZ5sUlmv7xNmuPGODciRHW87e3oYLkOYsiFrgseQ6Xt3z3yxyBY69GVcJ6zBT2Db5aTA43DaJ71GVqPB3igpSjm2+ytripFXyeaxa9n21t/FZ2YaD67KkOQsaFl12t63XXo11eJ8l9EK4PfjlV4sDhinduqFXNdhaF8u7FgbPuXBUmrUvv2mEPYu6pEs/ALVB6ggL/mvLQFjwMFkIsXi63bSYZvbF4GyiF8ybbz4e7beBLXVy3C2zboP2BcMyfMHs/WK2hbYJLWoZ1b8oAdfOhi8MmzbozdtOFzlql1UPsM1S92SwjLF10udpdyhte7H1i7/myimiXehyfvw5We5tR12n1c8vv8LLWj6mtX1ybG+U2Kw49qapEtZhprBtCtBz/goZ3RkEd/VzdcXL+r2pXL4NTU6h7xQVpSzbfHW1xUmr6PNYtez7Km/js7QNh/vhnq2PuSmBMsgI0Y3YLnXmIjSZmNDdpKGRMfcrqqa8m3/CEVQOuCCI0vR9/be2ThbaCWXANKQorX+KbLeBC0XWc7hqEsUrEwUutVtFszmYTgd3rw5XV2FNYiFsTZaoK4PL+rHFMINaFsNh94dtp2XYtT3tOiJ5XjOraIZE4qK8t4sgSCHT2j45tjdKq2yOvQIqYR1mCtumgG1N5rtApi6RzfqMDeddSQp/p6gkZdnmq6otTl5Fn8eqZd9XeRufnW1YS1H4A5JklEEgxGzE5c2y/FEbyihCjpEztBCp/jvNYqQzTaNVUSpRnrT+wjQKmZmHdkfYNesvrrKLV55/uUSFWzUTI9oeXvcUjVYO9Eh3T9h1Y2qFPHMW7kzdZk92ug7RgW9PikFASl8T1GJxdEQU9xoAM6cSjj3OH/mxbfLLKqRuazuV0Q9DkzKD3ylmmXJs89XVFievks9j1bLvq72Nz8o2XGBAkrIulqofbhr4CAp7eoVHY7rlsHaLMbeGpz0s5cwKsh/Cv8nWJ1DbZU30evNX7aNC+CNk+CP3qNoWWSH77GNayHMqhSW17katF+UNMpQCmh1wVFyNBu0WM6sCUtpOKjBNGAAAAACKUNaBEHuxeSEs+ulqiMiYjD5rbwS//NvpwVCSpPVXDj97xha7zEm7VbnnrTKtw49Ijg1GxTt1tJ0wWlncfJ1E4c6mlwdlzI4IFLyv1nexQZgekfUUqwQAAACAWaGsAyHKz6LQoIiMDblRG8JMEA2CTCW7AlfGeRkdq5PbvK4pWWlVOfj7PVmAKEhJyxTosc/bOZhVYyaXQvPNxX/+EWkU0ffWIYfFGxnE66OclaK7qE5qo+GUAcyUSjj2OH/kx7bJr/f5Uam92UvMLpAmXP6m9p2iHJVjm6+utjh5lXweq5Z9X+1tfFa24QLdk8o+EBLZdljaF2gc5ITd2LZQqPl3bHAfQZBZrVdODHldU6ZZJFa7pwRfeLSfcCY7SIv35KjoUTpmude3jAaFeOwB1yKro3XQblvBsmj2ibSsdtkhHdJzd0OmqCqAGVMJxx7nj/zYNgVowe6wkLzR/fEWEfddqfKU9jvFbFaWbb7kbdGs94Cr8+bqv+klmGb3luOwyRV9HquW81BVnW+zzc42rAOqNMiKHJn+5R0IsV1fMl0fgmF0g6amvwCooNtM2N2hUrsnaJHUeMFP28UjMXazDikXbYvYY/pBEm6jROFQv+Bo+BqdVsJxsXu79slgytXTmFKR2My6tctR1wVquxzR2h9bgmVff/NoURkhk+K3v9jwfNtlzc5BqVvlHjvVLnLMZSUd6JJ9g3XSbqdvlsahXXTZivEL/nptMVb41vxNt/3ZfTfN84G3TP4XrqwvYLFlT7xnruPLiB2r5q+4L3S67dz8vS+EcCrh2OP8kR/bpgDzmaR1stznoX5OVvJQjqX4TlEWyrLNV1dbnLSKPo9Vy76v8jY+S9vw9tVHZbRls7uXMWdBw6LL7rb12qtpdwvlQi+a1su+4EDTC6tVDTJ8YVga5HQwjr6y00WO5hjXOTbmvj5Pi3tqoVW9mMozFrRe7GkNjMo5QeNqibWlbT3S82xXEDTy26Lebsq0Z33N1R2XvVsOD9wmR2xBYu+2HjMffy42FG53T4+c73KFi4s8vmLHdOx5hWggpElO6/P0NV0i++zyAQAAANXthhtT7lagcrrGVC0dM991yVBupJQ1p4O7ITucU55xnTV7Jkpb0pQu14+q0FjQOmJKxYxtjtljmwuChPL0K7Qj9vh9MGeFDunpqpPjiRGCtodBEKXDiLmbRY+1fuCEDCX6vAMAAACYOgIh5c4W5py4CE/YVSjGjZSihW2iC7BtTdJw4bS9OMsqMOaPBW37wDUFafioeLarlU1zy4ymo9OikXU0A8F1y4h364h3BUnOR+9rbZ8G7Ubkd+XQ+RUYdlhrwWSCd4e994t37fKXZaCnJ3fXEXe7O3quP49Et7Ee8162C8t2OTLU6EYMahd5skukZ73UPTlB1oZXNKrg8eXbtlpa0sddgEiXJ7l88XUGAAAAUBiBkHJXZDVe+wt647LoIksvJEN2GGJx/WkLXHzGZVdmR2XSYEU0FHDzLhlqXG8vvIP+dloQSTMhMv2wtT2FI+nsGqyLihNpUEL7SoaPabcPHXVHR3saPmamRd04uuWwdgVJdutY4Nqo+Yt1y3JZUPZP+2WGRfK2HZbNLaNy1D22TxrdENs51LbICvMMfd4urS3j5tF9ZLO0pMNl3ifSGD9uwvdds61bVjcOZUYKysms16o6GXy0mOPLq280idcAAAAAmBiBkGphLhaPplvcL9jmQvLlQRmzAZTgF+/oQrdHZH2yoCOqWIfclnIZG7btbJaW2lqpW6SPaUEokXZbDMkfnUlrVQTP39xS67qwaBcuKe6CXocac1lJMReCgMSuQS+DyfKyNlY1RJlO8e5gGrg4LsPudpaxQdnnupdpxesgM0PXfcxb5qD7Si7dR1bIaI9mhWQyULILpmr9juKH8tbiz1EApqs8K+ADAAAAsxGBkCqiv76Hv2AfEXNV+vJ5c9GpXWsGM79kH+iS4xcapMncr+TxzDEZYzK4M9N29C/KxvBqXgQ0CLJCRsPnHwsDBzqc8ag8V0wQwLRBv9hoUjAiQDg0mQZBgiKj9v12DkbLk9X1ZNKKXOZ7e2SFaNeVICtkl91GR0Xudl1vwkKviWKnxR9fOhxk4rkAAAAApoxASLnLV1egEHPhtr7FFVg98JyM1rbI6ujX5m5pWjAmo88Gv4znHwt6Ehe2KGO98ly6NtPdJMZ1YfG6y9hsDsm0i0wXrGAM7/bEkM45ac2OgllJmpkxKi1dGmjQdhi0V6UFSMNqOLagbxiMMDp6VuTvGpNTctzx4BiIM9NyFEjN0NeIHM3xePFjrWs2TRjUCfZH43K3TBrIzFH+J0YDMXa7m/cI64n4NVIAAACAKkMgpNzZQEYwyktB9uLSdR+IDcW5XdbsHJS6qOtDu8gxl75faCxor6gqKtv21btkMJWpzxEUQNWL6naps11PXGBii5nuMoqCNnNKmrzOKMn5hIVWbcAiWSx1ItuOyKC0yPqe83JEa3q48drX3+xlqCS6g62XofxdY/IIxx0Plnm9yFB8Dh09681xEXa/yS6g2msDNZntEfy5YMQEY61HNUISj21/VFfYPdZVJ6PxlBwAAAAAE5izoGHRZXfbeu3VtLuFcqFFKNfLPlt88koJC2j6F27ArKbBwC6RfckirJNwNY41AAAAANNzw40pdytARkgF0CKQoy2ua8KVsO2wtKe8uiJAGej+eIvI0IkpB0G0K9BqncUAQRAAAACgnJERAqAyaQbIlpaoZogddaaooaEzNANER74J6TC/ZEEBAAAA5SWZEUIgBAAAAAAAVCy6xgAAAAAAgKpFIAQAAAAAAFQNAiEAAAAAAKBqEAgBAAAAAABVg0AIAAAAAACoGlmjxsyRN90tAAAAAACA8nZZrnG3AmSEAAAAAACAqkEgBAAAAAAAVA0CIQAAAAAAoGoQCAEAAAAAAFWDQAgAAAAAAKgaBEIAAAAAAEDVIBACAAAAAACqBoEQAAAAAABQNQiEAAAAAACAqkEg5Epbu1v6+vul3/3tvz+YvG5Pn/TtWRfcmbStsr9/v/n/DNNl79stU11KAAAAAACuNgIhV5AGO/o3pqS/tVVa3d+ZWwksAAAAAABwpRAIuWK2SltzWvpaO2WHm6J23LdJDrrbAAAAAABgZhEIuVLuXyL1F8/EgiCFbO3NdJ/pT3RH8R/L7k6j3WTMY71b7fPCrjdBl5xM9xnNTgkfy/terivMbvt4ouuN6+Iz9e48AAAAAABceQRCrpB1t6ZkPD3i7hWmgYk26Yu6z+x9ZrFs6A3CEBrA8B9ru8/PJ1knu/vaRB43j3XskJH0uKRuDQIV6z60WGQ8JUts8GOd3HW7SPp84feyapZK6qw+5meybJX9GxfLuYeS7w8AAAAAwOxGIOQKOfhiWmpS9e5eIetk3twR6evIhB0O3tcvI/OXyFYXwDj5tVx5JSlp7dsgqROt0vlgMOXgN8+J3H6XeZW+Li39J9IuMFJvnn1OnjpU6L2c8ZPS5+YXWCyd/a2SfqhNNh1ykwAAAAAAKBMEQq6U82kZ9wMMU1IvqZq0vFAgABFmgFiHnpJzsljuWmted+mM7HjwjKQ1MHL/Ekk989TUapPUmL/xGkktDO4CAAAAAFBOCIRcKYc2Sf/FemmL1ftYJ7t7k6PGHJQXLpnned1T1u1pdfVFdsgZnYffdSWSlv62vXLu9g1e3Y6D8tQzIql7loic1awP8/pLi6VzWUrOfVPDIIXeK4/xc7K/rU9kpVd/BAAAAACAMkEg5Ara0eFqcISFSfs7Rb6WPWrMjo69cnJuW1TAdMPt52Sv676SfCxerPSgbHLBkLDoqXaPSc0XOeO6t+w4m5Ya2y3G3S/wXvntkM7WIBiiRVlxdcSK4c4wrU0Tb2taj6ZPdq91d6fADic97fajxYFdIV9X3DceWLxawu2j/+Y/Tmyh4hyPZW/vQKFtlu81AAAAAOLmLGhYdNndtubIm+4WgNlML6KXnM3UhPElHyv03IlpsGGJnPEL5t6/X/rvOGOL8l5d3rJpIORTIvvbZsGQ1NH2GZHdfZ2y2GZsxYfOtoGbTy0WudQvbbHtWOQ6JR7TQEin7KeAMQAAAJBwWa5xtwJkhAAoTGvKnOqLXcRvvSOVp2gvVHL7pC+lpDWRraEjOaWfOefueXJsbwAAAAClQyAEKGuaPRB0awq7TGj2R9t8kXrtutS3W/5z4v46+5r9slWzFtxroy4VObqX6EV9UFMmtFWWzHXdq5LPj933lq0/uxuN35UjuL016EYSLo+3fH4XINs9xE3v2zPPTc2o9x7P13XIdkmJ5uGWXpfdTYu/Nrm9tCuO6/Ki9xPbK7Z9nPTZcASn0FZpa07LmRdTtv6wL9reujwbl0pNzVLbnU6XJ9pmOR5LyrmOAAAAAAiEAOWsfqV2oWiV1tY+GZnfaoMNWoum76LIyONmetsm+deJ+0FIo17atOuGe226uTN3vQ9zwd2auKjXgrrFjDpkn3dqr3uPiYdbrmluFXk4XJ4NQdcSfe3jI1K/zAUb7t8vG5rT0mfn2Sr7ZbFZE0/NUtGp9nUPnZTUSlc/xKPBhDbpC55j/mxXEhtYWCznHgqm6TLISj94k9lee0+lpE3r+9hl3SsnZam0xQI1ObbP+U3Sf8l7Xr6sD397H9okbWYdxsdPyl7zvrFuTYUeM8KuUMG6aN2gPPsXAAAAqEIEQoAyNvJ4WHdCRxSazLDGI9IX1aXYIX2nRBZ/aF1wge3Vo7DdN0749SnWyV23p6W/iDoUB19MS03zhrxZGUnjp/a7YMmIpMfHM11LdOjp4JasuzXlrbN5j/v6zbM94ydlf7hsbqSmJbH31+WX7G49C1Mi0fsrb5tYme2l6yUX+91zdeQlO9nJv312nB2R+js0LLNOdkcjN8Vlb++pWCfz5roMIJsRskGW1ri24WXZZGeyAAAAANWBQAiAPFz3DT/b4P42WXqpwPDKvgc7bUbCmTv0wnt6I8yE6lPJjiSTVS+pmrS8MEF2ypQV2j4P9snJua2y+/67ZPGlMJDiy7G9p2xcTkbZLcGfzRpx+8T+5SrACgAAAFQBAiFAVfIzJfQCXDJ1KcJMgWKKpB56QdI1i+UuF+TQjIZkqMIOGx1mV/jznwKbVRF2kzG0G0q8a0xmWWw3k/kjQWAhel/NnKmXtuQQtOfTIrHuQd42mYTCRWQPylPPiCxduVTSZ3M8p2RFUjVLpUaW3pN7mF0AAACg2pVRIMQVJ/QuovxigP5fmIrvF1WcbWngyWUvtvvA1RXsg5kovOhvj+xtERTdLGobaep/8iK3ROwyJuYda2PhY3rRHU7z/mLLb59TmiyJXGzAICqOmn1fu3qIzdTQvzaRx7NreBQskhoJupAs3RjMqzPldWPxts2G289luqxMx4Od0ncpKBBq30/OJbrGpCX1KbdetuZHYshaY0fHXjk5ty1aNtuetUvQ4+loPfJtk8JybZ8425Vn/KT05cj6yN7exqGnzBrmKYha4LHkOgYFXhHrGjRD54kZVwnrMFPYNvn5n0uz7PvQTCj8naKClGObr7K2OGmVfB6rln1f7W28jNrwnAUNiy6729YcedPdmk30Qrgt+OVXiwPmTOl2zwkf152wsl7GT+2Vtvvqg8cu9klrVBfh6tEPaFusMVoWDTBskMXP6LKW4GJxpuiBfU9K0vNFzrRmX2BOlV4wb0j1B9tD32NjSvrd/O22mj8iIxfN3j+bXRQyi+53LWpZyv3s2tLIxRHTBr152+kifXZZg32YOpFjGXWdPiWy37bb4HlLzeX7iJht+fBkL7ZLQY8VLbJaYB/aff2CtHnb0RYZfbFt4n1Qpaa1fXJsb5RY7NxS4HidzSphHWYK26YAPee3Svqh4PNGP1db07P8+8Y0FPpOUVHKss1XV1uctIo+j1XLvq/yNj5b27C7llveerebECiDjBDdiG2SMheh4S/NuYQp8iOu0ODWO/TeuPuFVdPhzT9uVI2ryuyItrknZW/sguegbGrTkTLazOEze9lCjmc7bdeCeAHK6UgUr0wUuNRuFa3mYDoT3L06XF2FzrPuvqOFO8ejrgxmH54Ii2HGbb1nqVcAU/e11mcw+9ven6U0QyJxUX7wPoIghUxr++TY3igtPX9JEcfrbFYJ6zBT2DYF3L9E6qMCz+Zz9WsnE8N5V5LC3ykqSVm2+apqi5NX0eexatn3Vd7GZ20bdtdySWUQCDEb0Vw4tn2t0GWjfvBpZQJXDyCvyYyqMTPsxXPOoUd1pIyUzNNAjUbT+nbL7l5NK9KUdg0GuRSjWJqRRh3N4xrlco/5KaB+14S+PbuD57rHbGTMPVZc2lYwGoZu38zoF6WQXbxyJD0uqVtLcMrw19HvhuK279Zo+0yti0rOwp1z5yW2pXaXyN0VAsCVo8dr+kXvzKujEWUdr7NbJazDTGHb5Ge/d6S9ToS2tlMqXl+pYszgd4pZphzbfHW1xcmr5PNYtez7am/j5daGK6NYqo7UYK5JM7/OBx98GvgIhr80F6Pz7eSrLquBRIICh1GgpmappM4G2RA7XDAoGO1B+/77mS310qZdQfSxx0cyhSTv3y8bmtPSZ1/TKvtlceYg1ABB+Brzt/eZxdI5Ud0PfzSMB8/IyPwlmaDKbOWPkKH1H/zikWb76lax6681LqZQWFIDQjVelDfIQorTTKVUzsDX1bRDOm27AgAAAIDqUxGBkHg3mICmqfddNNe7zRtECx8Gl6jjkj5vb1w1hX+Z8JYvWVAxym7YIEtr/MyWEekLU+o1QOGijjYi6QWGbJFGd1sfk/mZQoobmmukJpV9Ee/TbTwSjXQRjLxxNVNNtc9duPz5i7d6mTQrzfr5EUmzfcPinQe/eS6KVhY3XydRuHNJ+qSMX3rBC3oEWTT99H0FAAAAgFmjAgIh62TeXP03ngqpgvoSwZ8GRWS88IgOV8LBF9OxLIIMzVrJXgdLgyDL0rLXX5cJ5M88CWgR2XDb2L+C9QmCjBo76oi76G/T+yXpHuN1CXImWnbl79tkAaIgJS1ToMc+76GTBWvMhArNN5dYG5PFphl66XBr75LFYRYNgKsqKwi9MCU1scDl7FcJ6zBT2Db52e8d/o8da+dJajwd/ThSWab2naIclWObr662OHmVfB6rln1f7W283Npw+QdC9GJTSzVcLHDBef9+e+GeuzbHFfZgn5zUIS9jwwlprY82SXkZHD6bwRE1ouK6+dg6HmE3GSMsJqvsQTqZwqy28E9fdMEf/PXJSEmKzx6Up57xuqas3S2t8yeq9ZKfZq4EX3i0n3Amw0aL9+So6FE6Zrk7m+PZH7ZgkB8YAXDVaOaXROe9dbJ7mZ/lVh4qYR1mCtumANudNfN5rQW8ZdZ12SyV0n6nmM3Kss2XvC3qj16uzpur/6bfezW7txyHTa7o81i1nIeq6nybrdzacPkHQjTSZP6JFaZRekJ02QuZYXRnQzMM6n30SaZrinbdkcfzZyDYbi1RV5YlIkVkhCS7bXTKuUw00jy291RK2qL3Dz8w9APFK6jqxLvFhLR7TFiDZXoO3rdfTs5167dxsZx7aPL1K8LCsDoscTByxw7p09ofG936p9JFZYRMit/GcgzPV6m/Qk2bv938Ar6WtsHwMfMXBgy9LzhTcWW+FLnixe5ehrdO/jpkrVN83eNds/zHsov7+l269K8cvwDOuEObZH903guGKy+7UZAqYR1mCtumgB3SqXWy3Oehfk5W8lCOpfhOURbKss1XV1uctIo+j1XLvq/yNl5mbXjOgoZFl91ta4686W6houhF16dE9reFw7jmYi7kekU6GcYTJaUX8Z0iDwdjqq/bs1vq79tkv5hqAGtDqj/omqVtdONSST/ujTd+/27ZfX6TbJJi2m9+GihYcnamxzHXQMgSOZMIiOk6tr0YDK3r397a2yfzvhZsE8us/+6FZl3tMuo2y4y9rssfjUMfdpVz20If0w/aTPe24LX64cMXTAAAAEDkslzjbgUqY9QYTKio1Kz7l0iKrhyYYQddECQUZnNpG40FQdSDmzKBgkpy/35pTe+Pr9uhMAiidBQpd1O0O9xIptuV7V63WO7SrBDt9jf3pOyNBS8166xP0lFqIgAAAAAfgZBKpb+u27SkSaRmPdjJL8hVK94tI+xaodkGURcN26aCrh9hV6Tgz+8OkpxPkJ2gIx3ZNEG/No65iNdskKDNBRf7xfbjjnUFSXSZ8R/LNfJP8Ph+edT8G3Uh8dZN6fpFj2kGRvhefrcUfY15791ufvGgg2aHmOlmfbVrm7hCwxtuPyd9D5rHlqWjUYty0yLQrsZNVqGtzFDbdnSonAHO7IKBAAAAAAIEQirVoU3S5hc3pbsL8tJghXZdyRTClZXBhf2OjjCzwDznU5m+1jo8ddi2tN5Mqws4bO0NumSEj3U+qNkJe+Xk+LicfMhrhxpE0O4d0f3iq2pHXUHC939mcVR82HY98R5LBvYyj3fKIa+ytS1sO55yQ0LrsMcSBCE0CLJSpM/Nr/Whc7J4oxf0qFkqqbP6mN8dRrdnUPcnWN8d0hm+vm2TyJ5WkROFu/is29MpSy/1T5gNk78OTSZYAgAAACCOQAhQ9XSEHZexYbMe2nSKyybQok8ibbbgkd+Vw2U8aJZDc40bKizRhaOQhal4V61DL0i6JhWNbJSfZkqMSJ8X2AuKCS+xwRoNYJz8WuYxX2qZV4/EsJWt7VDW+rq09J9Iu8CIrn0w1LZmXIw87gU5Dm2S/ov1LmBijJ+UvlgWS0pavdoeWdbulk6zDJ2aFeK2XzyjJcio6ZT9RQUvs4Ypi8mMmgQAAAAgg0AIAGMkk/Vg/7winueTI+7oRXyrpDXDQ5/7uMvjmMxY6VndsLQrhxdgmBIN6KTlhUJZFHPnZYIOh56Sc7bWhnndpTOy48EzktbAiNbKmeZQZ/mCE1vvWSznvrZDdDhrmzFitp9mtLS5TJQwMye2bbKCRJluM3YobBvMSdKg1ATbAgAAAKhSBEKAqhcEIcLuLXFbZb8dGnivnLu9043VP09SkrnI1uGVLRtYWCqdOeeToF1OYpkQB2XTiRGpXxkfGnbdnv2JoWK1y0e9tHm1RjSoUH/xjOww/525GH/Mlz7RFnSjid73oDz1jEjqniUidnho8/pLi6VzWUrOfTMIRGigod51E7LW7pbWgrVM0tLfpttqQ3Z9ErPOWQVSffe3JbJuQsF6RfvHPG+py1gJCqcujboGBTRQ1SapU31BJotua/u4Blrc9nX1TYrYUwAAAEDFIRBSEfTCJ34BaQtCJi4IYwUuw8f0giic5v1FhSKVfY43/6yLWJS3cJSRDZk2YPdvUOsiuKDWQIWOi75ftrruIcEY4f2yJMoByZ5P0I6CgENWsdSkBztdDQ63DOavU/qyAgM7OvbKyblt0XO0AGlYayT5WDIYobVNbDDEtWftHpOaL1FgY8fZtNSEQQZllklroITr2r8xUyclv6AuigZDMseJOUZXStRtKLuAqjk+b01Jjb8P9M9tr6BWi3tMa5ZEwwjre7VqKWTvdUF9EgofAwAAALnNWdCw6LK7bc2RN90tlAsNcGhNAXvhY4s71svIxRGplzOZOgN2uhZ91Is4vcDNU8dAgx6fEtlvL7SC5y01F7ojmgPwcKa7hAZalpzNUwcBAAAAAIBZ4rJc424FyAgpe67QY/jrr/6q3toqnWeDuyE7zGaYKq+/Ims3hDuyf53fes9SSUcjWgS/Nrfqr/z2fsaOs7lfDwAAAADAbEYgpNytvUsWy8QFKnWYzSx+4UhrqyyZmxwFI48Hz7iROgAAAAAAKB8EQsrdwpTUXHrBZXDkpxkc/ugSUYFLjxadLH60DC2wGQ6xCgAAAABAeSAQUi0e7JS+S0tlgyuouCR9UsZjAZREFxsAAAAAACoQgZAqsqOj1dYP0b8+WSyS9jrUaBebSzoEKQAAAAAAlYtASLk7n5bxrFofE1i7Wzqb49kf6z6UCIxMqF5SNWl5ITG0KQAAAAAAsxmBkHJ36AVJ16Qku+JHgg6L67rF9G9MSb8dRjdDi6mmX5xEt5j7l0j9RTJIAAAAAADlZc6ChkWX3W1rjrzpbqFcrNvTJ52yX9quYH2Prb39suRsq3QWM8IMAAAAAABXyWW5xt0KkBFSAQ7e1y/p5k7ZfaVGcLl/v7QVO8wuAAAAAACzCBkhAAAAAACgYpERAgAAAAAAqhaBEAAAAAAAUDUIhAAAAAAAgKpBIAQAAAAAAFQNAiEAAAAAAKBqEAgBAAAAAABVI2v43NdeTbtbAAAAAAAA5e2GG1PuVoCMEAAAAAAAUDUIhAAAAAAAgKpBIAQAAAAAAFQNAiEAAAAAAKBqEAgBAAAAAABVg0AIAAAAAACoGgRCAAAAAABA1SAQAgAAAAAAqgaBEAAAAAAAUDUIhJTatsNy6tQp93dYut3kaYvN1/s7Uvw7dB85JYe3uTu53NsjAwM90uHuRvS97ft0SM/AgPTcG0wGAAAAAKDcEAgpJQ0krBI52twszfq3c1Ruc4GHCYMQE9m2Jphn8y4ZHBuTwZ3uPVZvd08ogQMnZEgaZVki0NHd1CDDp0v4PgAAAAAAXCUEQkppUZ3UXjgtUcjgQJd0TSf4ccX1yokhkcblfk5ItzQtGJbTZbUeAAAAAADkRiCklLadluEF7TLQE+9cotkg7QtEGladklO264l2McndvcVmjvT0yICZnpxPTq47S495XdQVR6eF887TPUffJ9djvQMaCVmW6R6zrUka/OBOhG4yAAAAAIDyQyCkpLbLmuZdMtS42QYhwq4w21c3y9ELIsPHmqV5eZf0mv+6lruuLdrVJbUiFlBoaBTZZx5b3tXrpkygtkXqTuu81sh2DYJ0Ba+38z8m0p6oI9LRMyDtcjR4vpsWSXSPoVsMAAAAAKCSEAgpuTDIcVRkVYG6IFHx083SUlsrdYvcdGP4SQ2WTMLYoBwJ30e759S2yOYwI2RVg0jqtijDo+7uAdl88/ECtUX87jGFusXoei6XrgPuLgAAAAAAZYBAyIzZLmuODUtDU46OKRoEuXtUdrmsDc0WKakLmu3hMkL0z2aheLzASC5R95htTVI3eCRHtxgAAAAAAMoTgZBS2nY4lgHS8e46dyvOTk8/54ITmnVhb5TGs6MytiDe1cY3+uRy2TXUKJtzDZMbct1j1t9dJ0MD+XJTqBECAAAAACg/BEJKadsRGb3bdUkxf5sbh2SX64Ky/fRwVCxVuo7boqrB85pESpkRcqBLlh8blZYtmeVIFl3t7XLBkFP5AhlB95haGZITdH0BAAAAAFSQOQsaFl12t63XXk27WwAAAAAAAOXthhtT7laAjBAAAAAAAFA1CIQAAAAAAICqQSAEAAAAAABUDQIhAAAAAACgahAIAQAAAAAAVYNACAAAAAAAqBoMn1uNth2WU6sa3B3PhaPS/OhtMtAlsm95l/S6yQAAAAAAlCuGz4XItjXS3Nxs/nbJ4NiYDO7U2+Zv9Xb3BAAAAAAAKhOBEAAAAAAAUDUIhCCnhT0DcurUKfM3ID33uolG9xGdFvwN9HS4qQAAAAAAlAcCIchW2yIrZJ/tLrNrUKTl4912sgZBmk67bjTNu2SocX0sSAIAAAAAwGxHIATZxgZlX1dQKrV3YEjGUrdJh/nvtpRIw6owI2SztNTWSt0i+zQAAAAAAMoCgRBMgldY1f2t2eYeAgAAAACgDBAIQZF65bl0bdRNBgAAAACAckQgBEXbvnqXDKbao2Kpp04dFsIiV4/WbDl8hTJyOnoGEsVxO6RnIF5Id7J0nqeOTLcFdcvhsB3e2yMDAz1myWaDcPvov+ZYybOetvhwjseyt3eg0DbL9xoAAAAAcQRCqlqvdC1fLl0H3F11oEuWL+8yjzix+/p8v2vMGtlup2O2SQZJphc06ZbVLaNy3NWNsbatlpb08XjbmaTeruXSvLpCW1Bs+4zJWKopO2h4b4+sSJnH3N0Mb3sngjuxbTarAj8AAABA+SAQAqCwbU1SN3gkFvTqbqqTwUcJg+WT3D6j6TpZkcjW6FjeKKNDQ+6eJ8f2BgAAAFA6BEKAsqZdQ1xXJddlQrM/2he4EX4GeuRQ4n6Hfc1h6d52OOrmFHWpyJFloBf1QwNeNoh5fVNqSE5otkPy+bH73rKdyu5G43flCG53B91IwuXxls/PZrHdQ9z0gZ7b3NSMhd7j+bJgbJeUaB5u6XXZ3bT4a5PbS7viuC4vej+xvWLbxxk9PSTSuMx7XpD1cfr5Oql1U0LR9tbl2dIitbUtstktT7TNcjyWlHMdAQAAABAIAcpZw6omOW27KR2V4QUrbLBh++pmOXpBZPiYmb68S9Ym7gchjQZpbzrtujgdldGW9bnrfZgL7hWJi/qOnhVSN3Qi030qD/u8wV3uPRJdsHKobVkh0hMuz2Y5FS7fsWFpuNsFG7Ydls0to3LUzrNZ9kmjWRNPbYusMFPt63YOSt2q7Do2Gkxol6PBc8zf8rALypZGGYpGRToqssoP3mS2167BOmk/td4t6y4ZlBZZHQvU5Ng+z3bJ8bT3vHxZH/721m5pZh3GxgZll3nf2AhNhR4zNAjSdDpcl10y1Jhn/wIAAABViEAIUMaGj4V1WrbL6Qu1UrfI3inCsByN6nNslyODIo3LO7JqxNjuG096NWOkQ5Y1JuqF5NH7/KjUtmzOm5WRNDa4zwVLzsvo2Fima8mzo1EdjY5313nrrDUzjps18YwNyr5w2cy6HL/QIE2x99fll+xuPYvqzMTw/ZW3TazM9tL1kgth/Q8dTclOdvJvn+2nh6WhScMyHdJzdzLLJpC9vaeiQ25LuQwgmxGyWVpqXdvwsmyyM1kAAACA6kAgBEAervuGH0iwRUBPR4GIgratsRkJp5v0wnt6I8yEFt6c7EgyWQulrnZUnpsgO2XKCm2fbUdkMLVCerYtk8achWZzbO8pG5PBKLsl+LNZI26f2D+/KDIAAABQRQiEAFXJz5TQC3DJ1KUIMwWKKZJ64DkZrW2UZS7IoRkNyVCFdtXZFWZX+POfAptVEXaTMbQbSrxrTGZZbDeTBcNBYCF6X82caZD25BC0z46KxLoHedtkEgoXke2VE0PmbVa1yOjpHM8pWZFUzVKplZaPZ41TAwAAAMAog0CIX3BR//w+//kf8wsF+n/Fpun7/KKOEU0xT15MFcN/nV6cxdannLgCku7edPn7K3sfBfu5qH031f1SBLuMiXn7hTvjj/ltM0c2hN33pcmSyMUGDKLiqNn3tauH2EwN/WsXOZZdw6NgkdRI0IWkZUswr/U3e91YvG2zuXEo02VlOratkaPpoECofT8ZSnSNGZW6LrdetuZH9hDP21fvksFUe7Rs9tjWLkHHRqP1yLdNCsu1feJsV56xQTmSoy1nb2/jwAmzhnkKohZ4LLmO8fNmFfO7Bs3QeeKKmOHzR1lj2+Rmt4tr+9MIRpeLwt8pKkg5ntOqrC1OWqV8TuVSLfu+2tt4GbXhOQsaFl12t63XXo11eL/6TGPqWdQlXfpBpg1LR0rQAoGa1l3oMfvikF6UtktDzscmphd062VfUFQxpDtZiydGdRaKNNXXzTq6TbVQZ/aF5mTp9t188/Fgm9j9WCfH3Xz1y0z7gmEZvtAg5s2yikJmmYntq/Nc1WCWYVgaxJu3nS5y1C6rjiKyWeqe1GUMbjcO7QrajD7v7lHX9oLHWszl+7DUyWjPZC+2S6GIfaf74ePPyXJvO+p+Wv388on3QZWa1vbJsb1RYrFzi3+8usfLwmw4f8xWbJv89Jy/QkZ3BttEP1dXvOw+nypQoe8UFaUsz2nV1RYnrSI+p/Kpln1f5W18trZhdy33m7/1YTchMPszQg64QIe9/ZyM6r+1dbLQ3i/wmCdMnx+edhFClF6ieGWiwKV2q2g2B9Pp4O7V4eoqrEkshBbuHIu6MvRK15NhMUytQzGcKZiptSEk7LJhnrdc6zMcCdrrbKUZEomL8t4ugiCFTGv75NjeKC3ttiU5j9dyUibnj6uCbZPXtiZpiAo8m8/VR7Wvoj+cdyUp/J2ikpTlOa2q2uLkVcbnVB7Vsu+rvI3P2jbsruWSyqtGyL23SZ3+OzYq5+0ET97H9ENRqxa4WgEzQaNfAz3S3RN2BfDTcjUa5tKDdPq73WTlXmcPDo1UhWlEfhpVzun+PM2fSzvSX0FiKUj+/PV2+PxEF6LDPcFjYfcfnRbO2+8SZOcfTb/NTZ2u7OKV518ek7p3Z953yvxt5++TgvureDkLd6Zuk46wLcZMZkQXAKWmx+vo814oXEcj0uPV3QUqlQ3av+x9M7K1nbJ/NKoMM/idYpYpx3NadbXFyavkz6lq2ffV3sbLrQ2XUSCkWw5r1xdzKzuzo8BjOoqDeSDzy/0MqW2RFbLPRpu0MGRYqLD7yGZpSR8NRmlo3ifSGCvt6HTY4TSjUR7C7jt6wW67XvjTgzQj7XYRzLNZjkq7DVjY+gMLmqIgh43KDZ2wXYgGukT2hfM5JrFikQ3mafqYpm1pEKTptHte8y4ZanQFJLcdls0to9Gy7JPGeJHK2cgfIUPrP/jFI/Psr8nQuhu1XpS3u8ltEa3dMOb9AnXvMrGxuFlju6ypxDRhAAAAAChCeQRCbDZDu7nwDoaEjKWfF3rMCC5OxyY9+sOkjQ1GxSB7B4Zc9KtDbksNy9Eo5T1IEcrmRnnYEi9oGE8vCi2UOsm8l8qkXQUjYgQX4JoJMxp0z1hUJ7Xmwj8sMKl9pGzmgn21HzzS5ZWgqKZ97mZpqQ0yGTTCOXwsc/Fsgy7u9tWQL2slzsucSaxz7v1V7HydROHOppcHZSz9nNmWZj/3DEpduB27RIYujMnos+51AAAAAICrpjxGjbHZHhroSBY/K/SYCi7sReJpkpPV+/yo1N48laQmTdF0NycQ1MI4LU164ey6s2SlFxXBjg6ifbE0EyZ9OhNEuRBmpbi/vEVjg4CS/1wNLumyzIzzMjpWJ7d5XVOKWe9gewV/yQJEQUpakDmjBXrs83YOmjWbWKH55uI//4g0ioTpcFrzwU1vXv6c1C2YXhsEMD1Z6fEaILaBS6CyZX2H0e6buboYV4SpfacoR+V4Tquutjh5lfw5VS37vtrbeLm14VkfCAkLnY4N7ssKdBR6zAq7JFzwAgJTof2bFqzw6kh0y2EdReT0RHMNMjRWRJkF2gVGlzgf7bKwKyqsGQx5mhz20nzIS4us97IVuj/eEnSB0TtamDPVJIeb6jLFwrKWPx+XmZKjm4hdlrsztUvCbT99vXJiyOuacm+PrFgw9XoumgEUfOHRIFQmC0Oza2a0d4pZ7vUtLgMnoftIu9TNdNcsAAVp5pe0rHbn0+BcPPE5HKgA207LsPcdIPadoeKU9jvFbFaW57SSt0X90cvVedMMcfdDoq1/V4b7vKI/p6rlPFRV59ts5daGZ30gJMxEqG3ZHHVZCIt9FnrM0iiU+SdWtGYq9Nd9rTGxJXwPvbDdVdQIEdtXH5XRaPnWm4MhV4cSPZGH89b6Hy6ws22N7Bqsk/Zw3ewJvle6lvvzPCXtctTLXtAvAXXSkBqSE2FwKGv583f72L56lwym2qPnRdsz0Q1kvQyVrGtMb9e+zHtuaZShnZOvXxEWctVtEeyX7XJEa3+4dV5/82hRGSGTYrtlue2UGJ7P72LD0HDFydctyS/SO/3x2L1jzZ+X9wUq4B+TyePFfywstNsth91z43/JQGZ+up45j0uv6K//xS7ri16sOHDx71s1zHlwX3Q+DeosFXMOB8rfdlnjfQeIf2eoPKX4TlEWyvKcVl1tcdIq+nOqWvZ9lbfxMmvDcxY0LLrsbluvvZp2twBgBumFe9NpabY1dLqlp+e8dNkPCw0quDHYF5nn3D0qu8KuXNt6pOfZLuk6oMGI9SI9ubrE5afBhtXPB8Pc+re7jwzIbY9687rXvM+icHhufa/MOOgagIiCW7oO/vLps81818u+SX/w5X6d2RYDt8kRO3/vtgZuPv5cbMjd7p4eOd8Vbqfs5QIAAACq1Q032poZkTIaNQZA5drugiChoKaKHYbMTyncpkEQd7tUth2WFS8nutcdCIMgSruMuZvSLU0LhjNdoLQrmuvKduV0SE9XnRz3giBqexgEUdodzt0EAAAAEEcgBEB+fncL13VEMxdORcMva/ZG7u4hsW4eyfnofR3JZ4GmL4evV5p9odkgQSpz0Ndwc6Kvb5ChoSMa2dRDuyz53lunH5YeXWbzPssGjou40Xw2Nw7JkW3m8btHY6MwZdOiy67eTFbRq6Cujo6slFv8/YP11OXPLGuufsx2G9vnb5cjQ42uS1q7yJNdIj3rpe7JCVK9KQQKAAAA5EUgBEBuGqzQritu9Jtd5oJci/QG/a+DQlBaCFaOhV1KtNhvOIqO1rFxxZK0G8cqkaPhY9pdY9saaT427EYzynRJ6T6iXVC8LioHdPSdoy54EQYStE7OLhkccyMc2cyIPO9tNUij7HPv4z3PLIf0rLDBhYJhkJ710pI+Hs8YmRT//TUIol16MssqyYLIZrtrkGaX2y69Xcvdc7VrTrestgEc99ycuuXwKq9YMgAAAIAYAiEActJuKUHGhsugaKl1Q4L1SlfPkDRu8YvTBoJMhiB7oUGCIQx1xB4patQczbzIVd3fBS926nv62SNxud474HVl8d3bI+tvPm6DC1E2SY6CqVq3Iwi2TJX//jqakctkybWsjesL1vboPrJCRns0gBOua66CqU1y2gsuAQAAAIgjEAIgr7HBXVE2gv0LAwIHnpPR4FZEAxGbbz7unqsZG8F0Hd0pGNJ4IprpUaDLh61ELdK4PHtklXzvXUj3xxtl6NHt5rUrRI4F66dZL6ttYCGTuRErXqrrXVsnmRHivW4zRRvOZMfYv0zQwo5yFZu/594eWSGamRJkheyyrz0qEg5rHWXwVOgICQAAAECJEAgBkFPv86NSG+tiEtIggdbxaJaj0h5lJGjAIxqq+t5l0hiMbi3bTw9LQ7L7R05BBoaf4dDRcziWARIOmZ2U773z2pajQKpv2+rMMNYx2+X0hQZZEdYgMc9rEW+o6gmdl9Ex7/UJY+Y9lx8Tac8a/tZsmxwFUjPM43eLHM31uAZIbB0V3b4uo0a7K8WyXwAAAIDqQSCkHNh09zCVPn/XAKCktq2RXdFY4JluGFrHI6yZsf3RQalbFbRJva2FTe1zzUX7aJiVkZxPeAG+7bQMZxVLjevtOi11UTcSfzz2XjmhdVRdsdS8752T1tCQqLtKb1eygKrYbkG14fzCP1cgdvtqrUHiHtPaJ5MaolazXrzX618yIGHrp2gwJBMU0joljUNh96LsAqq9tstNQ2xfca4AAAAAcpuzoGHRZXfbeu3VaJxIzALdR8zFX2rQqxnQIT09C6WrayaS3/UXY+0OQH0BAAAAAEBluOHGlLsVICNkNtOaALEgiOqdoSAIAAAAAACV7//f3v2FRpVljx5f3rmPCTNYaRinwRjREOhASCDgry9aMMIFf0XT6oC+dNLcB/Ngv6gNwTf1TQJtfGkfIpdLJ/0S+U3HRuoKP+iGKMyvIZAgKIQ4qBF6bOiUzJA83sZ71j77nLPPqVNlVVLROnW+n6baOvX3nF27KrVXrb02gZA2ZlbbWH3oBEESdJ6/kwof1VZwagEY7raukPGdXHGm2/j309tcktFgRQudBmDrCMws6O3+S/6rqn7Dg3C6AAAAAAAAWUAgpI3VXW1DgxRfDsjqV8HKE3dFbK2Gt+uTk2Z1Ce9+3z+XPrPqhNYu0NU2NmVJHzMoutg9Kj2P9PH/Tf7tR++2Q0HgY0yO6qqofyU7BQAAAACQHQRC2tizXzel50811nU41COy5K5qcU0WaiwtWu15tLqEFqystVyn2lwyxSMNU9xyyF/NQlfmaGq1DAAAAAAA3j8CIW3MLF86cFTaZ4lLDbb0yNBVMdN2NsxqFQAAAAAAZAeBkHZ2dUGWZFQuxepwXJHvdPvvGyKj55ypMFfk1KjI6gMNTczJz5XuKDtEsze6/bM7NfdgVXqGZuTowIY8cuqFAAAAAACQBQRC2prW7RiWu3IyLGy6sjIkj3Ray7cTcuz7Db+wqbn8pMj30bK31/66JDJ6yb9uokc2Nv3L65uTh6ve3YJiqWm+fSirhVEZWF0QqoMAAAAAALJmz4G+Q2/seeNf/6zYc0AaXV3mnMhMFHQBAAAAAKBd/f4PBXvOR0YImnP1lIxSJBUAAAAAkFEEQtAgzQRZkZVPRe4eo0gqAAAAACCbmBoDAAAAAAA6FlNjAAAAAABAbhEIAQAAAAAAuUEgBAAAAAAA5AaBkI5wRb5beSAzn9lNz5WFFVlZuGK3fGMzD2RlxbtcT7Hr9P728sTjGJ/NyAP38qvfycqDGRmzmwAAAAAAZAWBkA4wNnNcepZuy4QuaatBipUVGZLn/pUB7/JLoxtyd3hYhodvyFLhpHx3Va/Q1WBOeve/4V3uXff9hoxOBEEOu1LMRI9sbJoLfFdPy93KqJwy9wcAAAAAIDsIhGTemBwd2JAfJuyCtldPm4DG6Uf+ZmDsTz2yubQg18zWnEz8+Fz6hjQr5KD0dD937r8gSzIgR032h3e7Y8MyfGxBNsyVkWuPgvsDAAAAAJAdBEKy7rOjMiAb8sxu1nLwg257zlH4UMY++1B67GakW3oO2bO1XH0kzw8MCaEQAAAAAECWEAjJukM90l35WWw+R02awdE9cDSs63FlqM8/8+1DWd3sk6FgmosGVlJiJtWeycZmj3yYrCcCAAAAAEAbIxCSF7auxyVbFHXo1yXZNAGUOZmYWZKeT22x1AmR1RebsvF3ez8AAAAAADoIgZAcuXZKC6X6pwUZEPnVTqj5dkKO2cuHj/0sPQc25GctvAoAAAAAQIchEJJ1f9+QTa31YTcb8tmMnBt1Cqw6rizoCjJBUdV6tMgqARMAAAAAQLYQCMm6b3+Wje4eOWg3a/psRh7YaTErX/bID8Onw2DHlQV7uXc6/usNOZYSIKlydUj6XjxqIGACAAAAAED72HOg79Abe9741z8r9hyyYmzmgZyT240FMFpEgydDj4bldFBkFQAAAACANvT7PxTsOR8ZIR1gbuIH2Rg9JzPvagWXq9/JycKSLBAEAQAAAABkDBkhAAAAAACgY5ERAgAAAAAAcotACAAAAAAAyA0CIQAAAAAAIDcIhAAAAAAAgNwgEAIAAAAAAHKDQAgAAAAAAMiNquVz98hv9hwAAAAAAEC2vZHf2XM+MkIAAAAAAEBuEAgBAAAAAAC5QSAEAAAAAADkBoEQAAAAAACQGwRCAAAAAABAbhAIAQAAAAAAuUEgBAAAAAAA5AaBEAAAAAAAkBsEQgAAAAAAQG4QCMmIszfLsri46JzKMn3GXtkqZ6alXJ6Ws3YT7W1yblFmL9uNXab9r3zT7RlnZbq8sz5o+vTcpN3arkmZXZz1/u9pq/4btI/+671faxynvoZp11W3t69em9W6DwAAAIA4AiEZsrVyS4rFon/6ek36v3h3A2FkSzJIsrOgyaSUhiuyeGHebnsul2Tk9aJcvGO3t2H+QkmKY1N2q8PE2mdLtvYO+sEa15lpKe71rrObEae9E8GdWJsRuAQAAAC2hUBIVt25KKWvl6VwlIEQdtnlQSmslMUNWUx+VJDlex0axGiBZPtUXhekmMjWOPtxv1SertktR0p7AwAAAGgdAiFZducnWZN+OXKm+hd/d9s/r1MI/Gk1erlJsa8xxaY3vC6RRXB5Nrx8V6bmYBui1zWYMqGvd2m/9zqe8C4rT8v/SWyfNfeZlUnn9QynVKRkGeigfu1vTjaId//BvWvyk2Y7JG8f23b2LaW/uFM5/POT/jSSYH+c/XP7YdR39Xb77KWRmv3XoW0UPYbde913e1n8vsn20qk4dsqLbifaK9Y+VuXJmsjhI87t/KyPx78UpMteEgjbW/fnixHp6hqR83Z/wjZLuS4p9RgBAAAAEAjJi94Tg/LYTKlZloI3IB6XWTPF5taKyMgnTtK+N7Aq2uv829r6CzoIPCFSjk3NsdfhvQlf12JZ1vcXTbBhaqwo5Zci6/e9y0sX5X8ltv2QRq+UPnrsv5befSvD4+mBLW/AXUwM6s/eLErh6U/2cWoztwunc5XeOo2ma7go8k2wP+dlMdi/++vSG2Q+ef3w/HAl7Iez0u8diaNW/3VoMKEkZf823qkUTEH5ol/WvvYv032QE27wJmqvWysFKS2O2329JcsyIqVYoCalfZ5dlMXXzu1qZX247W2zvra2luWW97zj1/2bGPWu82gQZPBJcCy3ZO1wjdcXAAAAyCECIZlXkVdvGWCq9fvj/qDrzivvHuthvYf5Xyrm35A3sJoNakF4g63Fl70yqL9E/7EQPYZyrsP7E70mU/L4ZZcUDpqNBqxLOazPMSXlFZH+j8/6A+wwWOK97jp942G07V0iRw4n6oXUoH2ra/h8zayMpK2VWRssWZfK1lY0teRZJayjkeyH8xcWvVs7avTfiO6/VE/rOVgQCZ9fOW1iRO1l3jMvg/of8/LqtbnYqt0+U0/WpfcjDcuclemjySwbX3V7b8dZ2bdXg2RBRsh5GemyfcPJsqnOZAEAAADygUBIlmlBRhPWAHaDnb7hZhuYIqCPw0BEXdfHTUbC44904N2aqVS9heREkmb1SqGrseDhttRrn+tlWd5blOnLR6Q/tdBsSntv25Ysh9kt/slkjdjXxJycgBcAAACQJwRCsspMVSnI8jf+YGa9smV/bVaTMrjfnm1Wl19zxNA0/f3rZmCmv4L3utMMnOuQRW6mhA7AJapLEWQKNFIkVTOMnD6jGQ3JUIVO1dEpWCa7wn38bTBZFU6BYJ2GEp8ak95/o+fVzJleKSWXoH1WEYlND3LapAn1i8jOy09PRUZOjEjlScptWlYkVbNUuuJT3gAAAACEMhAIcYoSBid3EOOmepsihkn2/h2QBq7TDMJjNfU6oroLZorA/pK9flDkpX9507YqUvjcPoepmWCnIVwft7URUq5rAbewY/VUCr/oZkNTLLQ/JAe5LWL2MfHYbuHO9Oetse86MN/FgrMmYBAWR63e1qkeYjI19FQSuV9dw6NukdSQP4Vk5Av/scYLzjQWp23OH16LpqzshNcPy6/9AqHm+WQtMTWmRv91TI3dkuW9wXvFFhLVKUH3K+Fx1GqT+tLaJ868T7eWpZwSQKxub48piFyjIGqd65LHmP7ZmEPu34td+pzYdZ1wDLuFtnmLJv6WdgDzN6gDvvvVlcU+b77/2H3u9NdnOzr+cywHn0N57+Nt2Yf9eEDSngN9h97Y88Ye+c2eaxf6himZooumqKFLO5qunPCyLMUxMbfr1eKBYcq3f1/zi3HscrQT/bJyvrDovYbekNW8pgVZLPoDWA0+lPavy/pL71V8Ul0Usoq++bSoZVj/ogX0MU/0evuw7vUl57HN5RqQ0n3VN9h5KTyM76M5tuEuU6jUv9y/3Yg3fF+XglS+aXaw3Qr6vtAiq3UCWfo6fPJKSk476rGUfim9/TXIqR21T0p7o8Viny3p79e21wnHsFtom7qa/luaZaYvjIh4f7Nlb0VmO/W7Xyb7vH7/KErla/+7j/bLYiXl+31edfjnWD4+h3Lex9u0Dwevw79f+A97iS/TU2OCNPx1k2auKe/eP2FqvDZ+SQreH8LgF2q0o0TxykSBS51WUfTeTI/9zffD1lUYf2K3LS3cuRVOZZiXiw+DYpiBSSkdXpPlWHaOd7uS1mcoS6JMbXvRDInEoHz+AkGQenbUPintjdbSvxdS9/3a/jrhGHYLbVNfW/wtfVf089T7m12619Z/ZXcsk33+8qD0hsXGvX55bzmxtHy+dfrnWC4+h3Lex9uzD2vJiGihEFf7B0LO7JOC9080LSRK8fYLJ25J5Zm/rXUyvFvalTO8xvcGnJ3+hzD7qotX6utY+GMLPjLc1Cx3GopGK8vTMqlps8nrmpBauHPvvvDDbnKuJPLworyy2wDeH32/Vn5x/gjqakTO+zULOuEYdgttg7zJYp83PyBVnAmtps5YIV7rK8f4HMu+vPfxtuzDGkvYSl9cpP0DITayb1Y5uK+HkFLoEEjjrpCh9R/c4pFdI1KUWXOdFvLcTmFJrbvR5UR5Jz9yPuYuz0pJym2aQTEl4yZlDQAAAADyJ1tTY64/9qM5+wfDrBDkk871CrI9TLHLVDo9yt7uRG8sW0NrxgTFO+f/thZGKxt7XCtRuHOwsixbr1/JvGacHK3ILaY6AAAAAEDbyWaNEJveEp8K46fjuFNlkAXrUtkqyD5nakpVWlUKf56hf0oWIPJT0qICPeZ2Xy83VCum3uOmcW9fln4R77knPxmRrq4oQFLa7x3TiQYCKwB2TdWUu4MF6dLApd3Mgk44ht1C2yBvstjn53+pSFfByZ6tk7KeR3yOZV/e+3hb9uE605PaPxByeTqq36AFaLx/tp7+ZBrU/JLv/esXYdFCKN4/ToEaZMG8/PTUmZpyZlqK+9fl8TanlOj0FD+IorVHoqCYFu9JqejROt5+jw9XTCEeNzhiAiQvvQ+G+40FVgDsDv17IcMlm014VqaP9tpC29nRCcewW2gb5E0m+7xmdu8vht/r9Ycjsd/pt0d/9LJ13mz9Nx2CaXZvFpdn5XOsA7S8j2dLe/ZhXVClV4opP0hnICOkICNf2OkKOr3hZTkaUN65KLMrWyL7S971duncXE5H0KWa4gU/zRSPRC0Vs6a+zVJIX9dZHyflj4f+cXEfX4uQtnBd7PkLs7K8V19Db7++6Je1r5uvXxEcW1SXY0rKWvvD9p3xQqX1qweZdrHtGS4VhbrcNgsLH+sXmeAye9qFdde1j2wvK8d/X5j9ct83+j5wt2PHlijA616XPLaq91Pa+zDeRqlf8Exx4KiYdMC8N5zH18+GXGYnmb8XBSmZNjwv/U9vZW8VpE44ht1C2yBvMtnnp2Rca7bZ72b6nY0fiRx8jnWAnPfxNu3DU2NlqQyft1uRPQf6Dr2x54098ps9h6zQgc64zPpvNB0MneiV9Zfr0iuPpRgEhszlImUzWNdBVfW6zvo454e7TPaCf7l/uxFZ9/4rSOUbf01spYOpwY5dAxwtowGAz0VmSxdNNPzszWnpvXDRBIxMfyssen103etn4yJO//L7YsX219aIvU+aMDlXln33gvXgg/P63ijJq1K0f+6xmeMOg2P11pTXx4mOXa9LW2PfXO79MTXv59hjB+x7tWs9ajNzuxER77NA9lbC18B7NG9/BuVxC9sWAAAAaGdv5Hf2nC+bNULgOCtHDvtTMgy7Usr4E38zYJZzqruu86SUDq/J8ku7afhLEBdLZUkuQqwrpnTS2uZ4N+aDQIEVW2LMMX+hJLdWCqlpbO3g7M1xKTyMBxJix6bzEe3ZumvKnzki/a+d61LX2D8r+/ZuyfI9++h3Lsriy14ZdLNCLpek/+lyfA6qdztdcat6CXE/RTB2fwAAACBHCIRknQ6kvCHX24rw+IVkE5xVVCbnSiIPL8oru/1WZg4cq/d0Bs0m8FP4omkXmjUQTe/QbAp/Gkj8trWnhszKpM1ICArHxqZzXJ412SD1sjPMPEMbMNCMCPf+7rZ/Ppq+opeb/TXbiSkq0uvsf2IaiZlaElwX3W/q3pr0hymOi3JRpmXc2/e62VBOcax6a8pr7RotsFuf1ruxZx1RMSrv2E+ILF5o+N1LIBMAAAC5RiAk6xqsxqsDn67gV2iPFhUNeQPAqLZGo6pXe0EWBVMzguKuZZETGiCwcxy1iO0Zb+B/eM3W37FZQua2t2R5b1AQyhuMm/ouwXXjMqUZCbpaj9bu0SyloH9pgKTFywv3ntCpHt7zes9XOLFopsDoftzSOjFBIV5P13AxPFbNOCkFgZxw6pjd/681+GEDJTazwlzu7fPkJ95xBtkZqbw2/XxEKg+DqSi1NbJCkp/B0SX9H0eBD1MY2jJBzPtNTnN5VgmXjAYAAADyhkBIXlwfl/LraEnXwYo3QNUAyi4MSpElmm3QFRUk1qLDYgNc2mc0B0IDHN84g/owc0JrUtjlqxPTP+o6WGi8gnaDS26tB4EAMyVlPZwqpsuYubZWZsN9nL+wGGY1adZG+BgqbfqJ8o69WPEeQ5zsl6qsGD+w1Mr6OUGRJ7/dB6WysmUCKJr5ovVGWvlcAAAAQKcjEJIj7rKuZfFT8nVZp2Dqgg6ySvv11/WcriqRW1pgM+obxWJUtFTXA4/RIIgGzoJ+ZGvKVE3/qOf6eEMFS82SY40+5jtxVqaP6hSUeT8rxGa/lMVmxWgQRAvDOu2nWrOm/JSMh69PWeSw1zTPJqU03CVdYYBEg1i9UqqaDgQAAADARSAk67aT4q5THYb9AqtucCQY2OqqMW8fqGomQUVeNZIBgDamU5zS19bWoIdZ1UWniXzuL7+qAY8oSyOaouGvGz7e2ABcgylvWR7XrJKyd1lmbT/UgExU0yI+NaQZ7vSwszeL0vvysckC0WBFr5kSZHnvkeL+dXnsZFqkFUh1meCImzkTqLOmvB5XVOujMbofI6bAqhsc0VPZezU1qBUPxKRqcEodAAAA0IkIhGSdU3ixLpOyb1P5q5be3AYzFcIfRCLLtOaHO+3CO2mQQvvLiYK/UolOE9FpVXOTdjpJyd52UCRYZUjraDjrpoeFSO/8JGuSUiy1ijs9xy4VGy73GkxjSXneJm29Lsi4fY7zYd0Tz/Vxv2aIvc5MB/raeY9o8NC7fdkGRqoKqN7RlV3ix6An/5hrrylflS1SQ1T81dtvs+Twzt55WiNo/QnvXgAAAOTTngN9h97Y88Ye+c2eQ1boIEmLQzYy3aBV9Bf7wSetrYMA5E9QrLaBLI6W0RV2tLjsDoOhAAAAQEa8kd/Zcz4yQjqA/lpeaXRaQitcnjXTFoJfxwFs17xcfFiRETv16F3QVWYKK2WCIAAAAMgtMkIAAAAAAEDHIiMEAAAAAADkFoEQAAAAAACQGwRCAAAAAABAbhAIAQAAAAAAuUEgBAAAAAAA5AaBEAAAAAAAkBtVy+f+658Vew4AAAAAACDbfv+Hgj3nIyMEAAAAAADkBoEQAAAAAACQGwRCAAAAAABAbhAIAQAAAAAAuUEgBAAAAAAA5AaBEAAAAAAAkBsEQgAAAAAAQG4QCAEAAAAAALlBIAQAAAAAAOQGgRAgo64srMh3V+3GLhubeSAPZsbslhqTmQcPZOYzu7kN+pgrC1fs1nZdke9WvvP+7/lsRh48mPH2rB0E7aP/rtQ8Tn0N066rbm9fvTardR8AAAAAcQRCgA6UDJLsLGhyRU6NbsgPE3N223P1lIxWfpCJb+32NsxNHJPhU9fsVoeJtc+mbBaG/GCN67MZOV7wrrObEae9E8GdWJu1VeAHAAAAyA4CIQDquzokPUsL4oYsrgz1yNJfOzSI0QLJ9tmo9MjxRLbG2LEB2VhdtVuOlPYGAAAA0DoEQoBM06khK7KiJztlQrM/Th4Q6fvUu+zBjNxJbI+Z+3wnV65+59/PO4VTKlKyDHRQv/rAyQbx7j9UWJWHmu2QvH1s29m3leppNO5UDv/8FX8aSbA/zv652Sxmeoi9/MHMh/bSyEHn+lpZMGZKSvgYdu913+1l8fsm20un4tgpL7qdaK9Y+1gbj1ZFBo46t/OzPh79o0e67SWBsL11f74cle7uUblk9ydss5TrklKPEQAAAACBECDL+j4dkkfDwzI8fFeeHzhugg3XTg3L3Rciz7/3Lj82IWcS235Io09ODj3y7uffd2P0XHq9D2/AfTwxqB+bOS49qw/t49Rmbrd0wz7HsbdOo+kePS4yE+zPJVkJ9u/759L3ZxtsuPqdXBrdkLvmMYfltgx4R+LoHpXj3qXmfl8tSc+ntn6IQ4MJJ+WufxvvdCyYgvLlgKx+5V+m+yCfusGbqL1uLPXIyZVzdl9vyJKMyqlYoCalff4+IT9UnNvVyvpw2/vbCTnmHcPm5pLc8J73tBvsqHedR4MgQ4+CY7khqwM1Xl8AAAAghwiEABn2/PvTdjB9TR696JaeQ2ajAc/lblif45osLIkMHBvzB9hhsMQb1Ov0jR+jbe8SOTqQqBdSw9w/NqR79FLNrIykzaXbNljyTDY2N6OpJX/fCOtojP2pxzlmrZnxg3ckjs0luR3sm3csP7zok6HY8+v+S/W0nkM93oXB8yunTYyovfS45EVQ/2NOfq6Yi63a7XPt0XPpG9KwzJjM/DmZZeOrbu/tGJMPCzYDyGSEXJLRbts3nCyb6kwWAAAAIB8IhACowU7fcAMJpgjoozAQUdfV0yYj4dGQDrx3tsJM4OAHyYkkzTooPd0b8vNbslO2rV77XF2QpcJxmbl6VAZSC82mtPe2bcpSmN3in0zWiH1NzMkJeAEAAAB5QiAEyCU3U0IH4BLVpQgyBRopkvrtz7LRPSBHbZBDMxqSoQqdqnMjyK5wH38bTFZFME3Go9NQ4lNjon0x00wOPPcDC+HzauZMn5xMLkH79w2R2PQgp02aUL+I7Jw8XPWe5tNR2XiUcpuWFUnVLJVuGf1L1To1AAAAADyZCYS4BRKrU7pt4cIaA6zgvo2m6G+PUzzRntxCkEEhy92hxRzjv7ibQomJ54y1oXudDhKd/U7ezy26aNpQ0+t3MJhNU/UcMX7RzYZeP923XWrrXW3TFjMBg7A4avW2TvUQk6mhp5Mi31fX8KhbJDXkTyEZ/dJ/rHMfONNYnLa5NLAaTVnZiaun5W7FLxBqnk9WE1NjNqRnwh6XqfkRTaMJXDt1Q5YKJ8N9M+9TnRL0/UZ4HLXapL609okzU3k2l2Qh5TWvbm/Ptw+9I6xRELXOdclj9Au8IjY1aJc+J3ZdJxzDbqFtanP/JrX473c72u2/sW0ji30+Z32xaZ38OZaX1z7vfbwt+7A/Tk/ac6Dv0Bt73vjXP2MT3tuC/kE7eeC53B2uHtTo4OM7b9BifhXWwoFV6d7R9VosMllUsDX855DY43uXLYicDusw7IB2KC3UWOOxdMB5Tm77RR/1tp/2yfMX3sBXnPuYy8W2oXaGS9LzY5AuX/vxte2P/3rDf2yHXq7FGFvRnrr/lz74wX9+/fD4skd+sK918No/f+G9go0831vaalveUZu+O9pftchq2vvJ0tfhLz/LMWf/9XU69Y9jLXnNO9GO2ielvdFisc+WxPs1KzrhGHYLbVOHfuYfl42v/ODu+/8btLvqfafoKJns8/nqi03r6M+xvLz2Oe/jbdqHg9fhk8n/ay/xtX9GiNegxw9ojCMtZVwb+KT0eAPU4FfopCsLNkiyi/Q54kEQda01QZC3ShRntDUATj/yNwNaZDJqwzmZ+NEb1JvCjb7NX5/Zcw5t+4JTfNIRFX7cqUTxykSBS51WMey9mRKH8269ozZtK5ohkei/cxMEQerZUfuktDdaS6dtSZ33axZ0wjHsFtqmjqtD0hcWePb+rv5V5yq6y3l3kvrfKTpJJvt8rvpi8zr6cywvr33O+3h79uErMnTgeepCBu0fCDnUY2oO6OoTQZpNMOXENPCxYTn21w27nWCCKJuytBRLnm8xv3HrFTjUXyfCfdZMgSBdyJnO4t/mioTTa4JUKpuNIAc0zT2l4ORnR2VANiRlyB2TWmSy8KF5Dh3QR+3rpNDrShqrIqfC/XWuu/pInh8Yira3rbp45bNfN6XnTy34yKjR1iZa6bXvFa/Nq65rQsvbFMCu0ffrxj+cP4K6GpF9v2ZFJxzDbqFtajNBezcwb2o79Xh/fTvRLn6naDNZ7PP56ovN6+TPsby89nnv423Zhz/7UHo208fKbR8I0Q5lvLhrfpW/+0KDIm5Rw1rGZGZiVLo1KvcPe9FuSDauDrKDQW7avCh31QatSeAUNOwePS4yo9fdkCUZlVMaXNHbf//cHn9KzQINFFV+FqfLpdIMjm4nInllKMqT0V+yg326sdQjJ20QRtu+e3RANuzqE+a68Jh0idMe+XAbAYR3pk5bewcmx+W2PS7ZVmHJ1rfpu3JNTndimjAAAAAANCAzxVKf21UWNLLvjWL9FSjquLJwSUa7n8vd3U43T0b6NMVdB8BfLdWYrqPTeWygRDM9nCjZ5tJtG+jQ1SVa/AvG1XiRyaFfvf1LCaCYYo7u8TjpXXMPVtsmMq1zvfyMCjdDKKl2W2s9mWB6intcjT2u1WFtCgAAAAB50PaBkLl/pE97iaXdVNHpKvpvn5wMBsG69eluVA/XzIhG559GRWNMtkDNYMnu8Ott+KcFGRBJq2HhqNX2rVWdWVKVVpXCPZZkASI/JW17bV3vcdO0Z5sCSKpKj28wm66ddMIx7Bbapjb9u9P9gZOYXSdNOPu2950ii7LY5/PVF5vXyZ9jeXnt897H27IP15me1P4ZIVqLwvsnKLSif9B06c96NTn81P9ogGqmlnh2Z9WYOZmYWZKeTxupM6FzVzdl4+/+lhaUSaky0ZztzL36bEbOjToFVh1jM8el78Ujf9qEqQNyPDyuK38ZFVl9aDtz9Tzc7dHsF2dqiqnr8rbXtzadnuJ/4dmFtq6nJW0KYLdo9pWMnrI1ecZk5s99YaZhVnTCMewW2qaOXP3dae13inaWyT7f8r6oP3rZ7986Nd1OQ9bs3iwum9zRn2N5+RzK+ff89uzD1+TRiz45npLpn4GpMdfktP6ab4qF6lKqm7L0VZvVN9DpMF+tysCX0bSKlS8HZDWoWh66Jgtaj8Le7twHG41lhJg3VY1iqY0W4dE/EOG+xZeSc6eDXBpYlRvhdCJt++i4TsrdKEvCVEW2g/sdmpu4LUsF//U17baN11eLzQb76Ae7ttnWzWh1m6JKvalK7nXmFNRaMa9LK4vQ6lJoiedQWozX3Xb7Q/K96l4XFEIO6OPELvOfL/4lTr/sBY8dvy7o+2nXxfbdtom221unfXUi73P6ttbkMW1xSQZWb2RvFaROOIbdQtvU4f3d0TpZOfm704rvFJmQyT6fr77YtI7+HMvLa5/zPt6mffjaqbuyMXrJbkX2HOg79MaeN/71z4o9h6zQgdA5uf1O32g6mBp69P7XhUaH0aDA0CMZNoGjKzIz80wmTL9212XXoID/4Rr1ee+yhaPy8NTEzqPuGrSYELl9zH+sKwsP5MO/BuvBB+d1H07Jz8eiL9hjMzNycGLC39bHCINj9daU18c5JzITXXfywHN5/qJPxHl/mcu9P6amXWKP7V+X/l6MP29ELx/yHr5DBwcAAABAwu//ULDnfJkploratBjnRkMr6bSIN1g9WViSBYIg2FXXbBAk4E/FGps5lwiCqDmZaEUQpEG6Dz0/xgMJc0EQRGmmlj1bd015Xf664lxnas6clkf+pjUmHxY2ZSnIMPt2Qn544dYliqaAuXRKVk9YgNnlpwg2VtcIAAAA6DwEQjrCNTmdtrTubtFlae2v5cghzdowKW/eKVgWWKdnhNNENOPATg1xb5uYLqKZDMF1ZqqG3lYLG1dNA9OsCc1s0MDDmBwdEFl9UKf3acZEONVE9yXxPMre5ko4rcQ+n8m2GJXubn81IJ1mcu2v7lSmH2RCZuTcBz/Uz4ZyimPVW1Nea9e8rcCuX+/GnnX4xag0SNIdpmC6U3UOfuC1k5yyxxe/Tpd+DuouAQAAAHlDIARA44KpK7YQ8Y3VATk3M2bnZPvFoa4snBT53gbmNGgWFi3eCAvYaeDETPWw15nsDr2tFjZ+oZdHgT1dCrvnx2A7WaTXCXQka28YGiS0zz+s8wODAk6e7lE5LrfNdTe0nozu27da72dJNjeX5IZ3uQl26GXBY5y6Jlf+klb/xzUmMxOjsvHj24OFja1moBkc7pLhwapYak4mjgXHd8PMi/eDPTZAMrBhjiO4Lqwfsp0iywAAAECHIBACoGGa3eBnbPjBh0uj3XaZMF09yc+c0ABHlC2h2Rw2UKHZHmbw7Wd1hFM96tIBvVvxP7k0YhDouGtWl0oTFRM9KX3i3HdzSW7b6TVa5bqhwMDV7+T4r7dNVkhY/LSqYKrW/Ght/ZygyJN/HEOysbSZEkDxXoMfn8eWbXseBmN0JYXEkmYAAABAThEIAdCUzaUbNgPBnoIVcdy6GIYGQTSbw95OMy3M5c0svawZD24tjjn5ueJmR9SnQZBLH/xg9/WGLO1o6SDveP4sZolkkxXylX9cd8Uuk6ZBEC2ympim1po15d3MlgWRAUmtCxLRdrJnAQAAAMQQCAHQMDOod6eXhII6HhoYCKZgaMAjKuSp9TD8Uhd+sc6TbiZFTX5GibskbJAdEV8mNp1OPQnrc2hh0pRaG41KK5DqMsGRmZTpMHXWlH/2a/NZGrofo06B1YgGaqL12k0dkD9HtVJO6dMGtVUO9Uh35efqfQUAAABygEAIgMZdPS03wvXB/ZMGJLSORzA411VRej7V4qPXZEFrb9hCnuc+2LAZIRrM8GtWBI8RFjE1QYNksdQkzY64K/JptA867UVSanKYFVqCKSUTPbLRSEbItw9lVaJiqcZnM3JuYDVcKamqgOq3iaKl9uTf39vfGmvKV2WL1BBN71nxM1yCLBy3RkpyvXZ9rVYHzHGY9gnqtniuDEUBEwAAACBv9hzoO/TGnjf+9U/yqQHg3dCMF60pEp9Os7s0eDIkj4ZrZ7cAAAAAneT3fyjYcz4yQgDgvdECpxsyOpG24s3u0FV9epYWCIIAAAAgt8gIAQAAAAAAHYuMEAAAAAAAkFsEQgAAAAAAQG4QCAEAAAAAALlBIAQAAAAAAOQGgRAAAAAAAJAbBEIAAAAAAEBuVC2fu0d+s+cAAAAAAACy7Y38zp7zkRECAAAAAAByg0AIAAAAAADIDQIhAAAAAAAgNwiEAAAAAACA3CAQAgAAAAAAcoNACAAAAAAAyA0CIQAAAAAAIDcIhAAAAAAAgNwgEAIAAAAAAHKDQEizLs/K4uKiPZVl+oy9vEGTc4tSvnnWbrXKWZkuB/vkn1r/HGg32pdmL9uNXXb2ZjnRp7TPNd//XfqYi3OTdmu7JmV2cdb7v+fMtJTL096etYOgfex7s8Zx6muYdl11e/vqtVmt+wAAAACIIxDSBDNoOVqRW8WiFM1pVuTj5gZyU2NFKV2Yt1utoAPB81J4GOyTnspSKfTa65FHySDJzoImk1Iarsii228vl2Tk9aJcvGO3t2H+QkmKY1N2q8PE2mdLtvYO+sEa15lpKe71rrObEae9E8GdWJu1VeAHAAAAyA4CIY0yg5ZluVW6KNFwcF4uXni/A7nJuZLI/aKMX7cXGFMy3qkDTLx7lwelsFL2elVk8qOCLN+jj9WSbJ/K64IUE9kaZz/ul8rTNbvlSGlvAAAAAK2z50DfoTf2vLFHfrPn4NK083GZrZnNob+4D1aWpTA8In/4b/9d/t+L7+O/3H5RkMXiuIje7okGLjSTY1Ae3xcpnfCzN9adgIY+3/nhLnN+a2VZKsMFeezdPz44so9RdblDp/LYx9dfppe/Lplfqf3jWZS1wyUZ8Z5ma+WWlH4phbd198Xf/xHx92ZdyvWeD++M6XNPyiInSmJetZdl0+f08tJ+cxPvhV2WZ69H5KCzfav0SkqJvmde/yAD4XORWSfgNzlXln33/H7j8/pdeZ+U9TbJ28e2tX/afXP6XsB9TzXTH2u+N+xzLz7tl5K9PtaPHW4bxY497OfufZPvVX0PeG1SPm/21W9TN0DqtI+ZIuO97x+uSf9Rp53cx/zocSwzJmxvqd6f8h9tm/3tSO3r7GdU6jECAAAAOfRGfmfP+cgIaVBvoUsqv9QfSPQe9gY6xaL8j6Pfy/r+KBVef/mV1F94e/1BkE5nub8uvUdtmvvlWW+gV/EGW/5Ul1npt4PJhDP7pLBV8YZllg7kgjohQR2B6+PRlJn7FRn5JErQ7xouinxjp9IMn5fFtH0JBrbhY3gDtx3XdUCr9J7QQJj/Gq7vL5qaHTr9qvzSHxwXvYH3/0ps+73Y6Xvm9R9Pr/fhvf7FvWvyUyyAUZTC05+cgX86cztvAO4/RzwIkqah/vi290bXiOil5n5fL0vhhK0f4tBASknK/m28UxQE6Ze1r/3LdB/khFsDJWqvWysFKS2O2329JcsyIiVn2lFq+zy7KIuvndvVyvpw2/vORSl5x7ClgRbveWMBnXrXefwgWXAst2TtcI3XFwAAAMghAiENWq9sSeGP9Wfjrz8MBplT8vhlrwyaQc9ZOXJYZO1vacPGdSkHvwRffyzrXQUzqDv7x4JsOYOk+QuLUbDDdeeVVOx9DB0c6cBHB0j2In3+sJCq/pq9d58/oPRsrczawem6VLa2olT+Z5Xo/gcL0uUNLs8HAZbEY+D9Wr8fZOdon+uSwkGz0QCn73n3La+I9H/svarah5zsBjN9I+zXSvtzol5IDfO/VKRr+HzDtUka6Y/63oiOOeW9sbUss8G+eceyGL4PA/77sWpaj9fPJXx+5bSJEbWXHpe8DOp/zMur1+Ziq3b7TD1Zl96PNCzjvSePFlI/E6rbezvOyr69GiSz79lFzVyxfcMt9kx9EQAAAOQUgZAGmUHd4SMNDxym7i1LQQc9Z45If5NFJRvJPvHpgDE50HNpEMQppBoLkDRBp1yYX5btyRkoo5P5RTsfu9kGpgjo4zAQUZfNRnr8kQ68d7bCTEDfGzvTK4Wuirxq4v3YlHrtc70sy3uLMn251mdCSntvm05Fct6z3slkjbgZYryPAQAAkFMEQhqlgxgZkfOxaSGTMltrmsidn2Rt76BM6y+8TxoaNobML8fBVACPptrH0v9D83LxG03/rzXI1EHfllSe+Vv6a3PTw0j9Nd5OuUAncQNoOgC3WUs6RSTIFGikSKrJSuqXI7Z/pPUxnapzK8iucB9/G9763nD2xUwz2b/uBxbC5/Wztaqmd3n9XGLTg5w2aUL9IrLz8tNTkZETI+mfCS0rkqpZKl2xaXAAAAAAIpkJhOi8/qqUbh3cBJfVTPW2U0N2MPjyzcvFUlG0ukD4fFrs0ClyGKeDnoKMHF6TcrO/8F4fl/LraDrKuKzF0/9dplbAmvR/EeyTd9JaB2Yw5qf3j9jrxgvOlJdG6eNrbRHn8ctm9Qtt1+r6C9ulNQ2Cx6+eSqGFJRtc/lVT/3ephonZx8Rjx/plMkgWXB7LhnCmKnknvy1bzwQMdGqE7ffJbc0mEpOpoSddeai6hocO6uOBgEkZTNQLqdfH3LY5770PwikrO/G298ZWRQqf2+MyNT+qC/tOjd2S5b3R+9i8BlX9PL1N6ktrnzgzlWdrOfUzobq9PRpQ1QCst09V/b/OdcljXFxs3Xs109ypQbv0OfFOmL99rcmy6iid8vruBvf70o6/D7W/+t8pOkgW+3zO+mLTOvlzLC+vPX28Db+n+OOvpEysGuOvfpCyWonXyNMHL8pFb1ARrCQRXx1BB6N21YqqlR12n+5TvZVmGqadKbGSx/un2TDSkmV6zWtXWPRXztBjtSvs6CMHr/36S+9VNKvt+PepSf+AaFHLFuxXSB/zRK+3D+teX3Ie21wutl9G05DGr/vn+5/avqi3O1rx+5/TZ/03ZXAf84jviL4vtMhqdZAgpK/DJ6+k5LSjvk66ksu73dfs2FH7pLQ3Wiz22fK+3ns75e/3iHifiVKQyjfNBus6WEe8vrtFP/OLUrErd+nf1WKlc1eSqvedoqNkss/nqy82raM/x/Ly2ue9j7fn95Tgdfj3C/9hL/G1f0aI96FQ3K+FFFNSxu8EA0qR+b+tmV+iuwpBory+ECUpeIPXbdXF2LHtpdanmfxkRKSBVTreKU3jr9TMU2lConhlosClTqsoen8QHvub74etqzD+xG5b8aK283Lx4bothqlTktajgplmWpWdsuH0Wb1PvNBmG9EMicSgfP4CQZB6dtQ+Ke2N1oqv3uW+X7PEz0wslspSsZfA1xmv7y7x/l73hgWevb+r95ZFmqh5li31v1N0kkz2+Vz1xeZ19OdYXl773PfxdvyeMimD+51xmaP9AyG6aon3j64+EaSKpU0nCGoTrIdz7/0XonTv3b8M+mvE9lLrLY0IBylV3kmX+my7SOL18RbtU3XxykZW6GmIm17opmdp+5anZdK8TonrmpBauFNX1NFlje1mJG1FF13dI6rhAmD3VBWh1vpHrIDVMXh9azNBe/eHi+SKcx1lF79TtJks9vl89cXmdfLnWF5ee/p4G9Jx2VYlPpXeavtAiHYow65cUn6pQZGoqKGmuuhg9vywmFUS2uEXa/1lOFylYTv01+FgZQc98Uvx9rgrZGj9B7d4ZNeIFGXWXKeFPLdTWFLrbrgrCU1+ZD/mtHaDu5qPrhyUEjM5e3NcRppcUag1pmS8E9OEAQAAAKABmSmWGmR6aGRff103K1B4/KkTdqCrhQ4pkJYLQQBMT7ULjur0KHu7E71+toa9RmvGBMU7zbQqe11jj2slCncOVpZl6/UrmddsJLOaj32sz0XWXrqZH/5+af0YglwAAAAA8G61fSBk/pf0qS2x1DF1/bGf8kIqbMasS2WrIPucqSlVqYEpwgCYd0pO0fFT0qIiU+Z2Xy83VCum3uOmcW9fln6vY9rEKzerp/RKCvuDVF3dr3GRbxp7fACtUZUer9MuTeASnYDXtzb9HhXVT/PUSRPOvu19p8iiLPb5fPXF5nXy51heXnv6eBuqMz2p/TNCbIAjKBakf9D0D93j6zq1YFrC/A8tTqP/8sUnY3SZYWdqiimO67++26HTU/wvPDpPOMrCCGrI7Bpvv8eHK6mFeCbnSlIIil9dLkn/09n3MB0GyDfN/JLhkv2bcVamj/Y6NaWQdby+dej3qP3FaEpxOxZgb5nWfqdoZ5ns8y3vi/rjkq3zZuu/aRhBs3uzuGxyR3+O5eVzKFeft1kxJY9f9koxJdM/A1NjpmRcf83fXzLTDEr7t2T566C+Qb+U7LQEM/VBl8htu6kG+iFt9zF28j+4W/NhrUs1xQt+mikeiWlCfhFX+/yx6/T+8f3yxfc9nCqiRUhbuC72/IVZWd7rv76LX/TLWvj6Ni44Ni0s69dmmZKy1v7Q6VLe5eOFSutXD9I/urZtFhPL87lTbNxls7TmjVv415xyNJ2rdh/0uO3pnZp9X2ibv3U6U11Of3f7t/PlylfjfWG416UU4Y0V8NXTrP3Cg11356LMrhTs3wx/eWtWQeogvL51eN+jgunDXvu0ZQH2FmrFd4pMyGSfz1dfbFpHf47l5bWnj7ejqbGyVLzxV9KeA32H3tjzxh75zZ5Dy+kg6KPHsboQOngbfLKzIq86uNR6E+aNps9xolfWX65LrzjPZS4XKVetTe6f1w/b8P5HK3KrdFHmvQHg9MFguVf3Pq3Zb+SABhE+F5nV/qR96GavXLygfTLen7QPnx+u2P7pm7w5LesX9H7vhu5D6Rd/CVz3/ORcWfbdc1aAesv7Igx8ue8lvaUe4+G1cFudvTkrR/42ToYQAAAAsIveyO/sOV9miqWiFl0z35mSYVdKGX/ibwbMck6pa5PrFBJnbeXrZVmWfjmiv2TfCQZ7al5evbZnPbpiSsesbY53xOt3JggSCKYuTUopEQRRU+8wCFLT5VkpVhJTmWq+LxLrlLvvpTPTMp4Igqj5CwRBAAAAgHeNQEhbcKamuNMF9Nf04PJaKfS6NKu8vQiPX1slQQvLahEfuxnpksJBezZ0VvbtdVY+MXPgBknr7wRp/cxcFvW5aNqJO40qMS0k+Ti6/cWIdHX5K+u4U10m5zSLwmZZaH2fl49jQRCXPvfsTf+xy//5n4lpWdG0MHM7+xz++RrvK83UCC+flmB+8fyFRRG70o9mbpSve/c/WglXF0rnvC+qCmJpkMR/L2mNmvpzRDWzxO5TYn+Tx6LHqNkl/m1TpsTZ2+1smhAAAADQuQiEtIHeE4Py2KwwUo4K7OggUqcUBCuP3BcppdWSaLCitGZwdB0+Eg4gtaiocecnWdvqlcFgkKqBlZSYydmb4zLyetH59bq6MjsyqFY/s/NUTWGhy7POHMcpGQ9u6/XXSljUyxuom7nYwXXjMuU9Rknr+2jtHu+yYBqVDuJ1+ki4rdlKwWo7NfQe9vex9D//d5RloUwQxe2XkZrvqxMFWQ7280lBRsL+7hxb6aLIzaLIw/pZKdXvi3TJVQuigEUQyJiXiyX73MVbsrw3KrSlwmPx2lOXZTZLL3vbt7QOji0KqI+p09WCx1g7PB57DAAAAAA+AiFtYP1+MCVAq9rabAwNcNhf0s2ASYvB7mRp4OvjUn4dPd5gxRugmgCKNwD7xh9cmefxBsVrL53MD/tLtRl4tV0hWuxYnX6mBefWDp/3a8s4r32UjVDSiVV+MKxOQCKpt+D1sb9FQYGqpcZSrIcBCX9FgP6P/XeCBvRqVVSv+b5y91Onr6RV0T0zLeMFr99rVkjQNikFUxt9XySXxAuWXS6/tBeoMFPlvIx0xbOywmPRJcAkmn6jbefTzBQNmNh9TXkMAAAAAD4CIe3sZdn+umtPifoCzQoGX2YAJv0iwa/w+st9+ByvpLC/Iq/MQFEHe+Mi3xSpeNzJavazeF0YZQp+FhbtbW+FQYRGsjoCU2NO4VH1rCJbTUyz0iksFZPdNCmDe5elHNbreLtG93Pyk35ZuzflHW9R5L7fLree9kvJZE7VeF9UrVMeTZsxwR4nI6tKUFjVvgaxAEnDdEUt+xraU5B1AwAAACBCIKRdmcFhPD0+ld6u2UwR/bV72Cmw6picK0khKKp6uST9TxOFIkNaZDUImCCz6vSzYAqLOy1Lp3iEgQRnGpW/9n1jUzF0CkesfsWdi7L4sldKyYyLOXfbNSWPX/fLkZuDUmhybfb4Gv0er49HU2OstAKprprvi8Q65frYsiY/6e2CjKy06W0eDdBIOMVNi66aM03w65EE02RiNMhinlcDOHYqjk4RirU3AAAAkB8EQtqVZmk461DrKbX4YdWv0DXowMc+zuIXBVl0lyl1CiyGS396dHDWNXw+vM6cgoHcWwpcIiNq9TNv8KzL2ZpgmU4f2Vsyl0/dWxYJ+sTnBakE00qqHscWWtUaNFJdLDVJs5U04yKcorM4LnKvdgbU1BPvuYYlNZhXl7ef0Rr93umjSmJqzKTMnoget7qAav33RbBOublMpxQ5WVx6jGUpxe7nbZmAij7P+v7gukGRbWSETI1pbRH38WsUWAYAAABybs+BvkNv7Hljj/xmzyEr9Jd7rVXwLqevBIUZSb3He6FZDh89bkHdGq0BooVIo8AgAAAAgM7yRn5nz/nICOkApmZCg9MSWsIbhJaarM0AtM5ZmT5au0hqM7QGCJlNAAAAQL6QEQIgOzQT5ESvbK1EU7iaoxkgutqNpUv77rAIMQAAAID2lswIIRACAAAAAAA6FlNjAAAAAABAbhEIAQAAAAAAuUEgBAAAAAAA5AaBEAAAAAAAkBsEQgAAAAAAQG5UrRoDAAAAAADQqcgIAQAAAAAAuUEgBAAAAAAA5AaBEAAAAAAAkBsEQgAAAAAAQG4QCAEAAAAAALlBIAQAAAAAAOQGgRAAAAAAAJAbBEIAAAAAAEBOiPx/1erpwiKrQyQAAAAASUVORK5CYII="}}},{"cell_type":"code","source":"assistido = [67, 2, 313, 132, 192, 179, 227, 501, 614, 631]\nfilmes_com_mais_de_50_votos.query('Action == 1 and Drama == 1')","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:51.872493Z","iopub.execute_input":"2023-04-14T16:05:51.874506Z","iopub.status.idle":"2023-04-14T16:05:51.914156Z","shell.execute_reply.started":"2023-04-14T16:05:51.874423Z","shell.execute_reply":"2023-04-14T16:05:51.911774Z"},"trusted":true},"execution_count":23,"outputs":[{"execution_count":23,"output_type":"execute_result","data":{"text/plain":"                              movie_title release_date  \\\nmovie_id                                                 \n4                       Get Shorty (1995)  01-Jan-1995   \n22                      Braveheart (1995)  16-Feb-1996   \n28                       Apollo 13 (1995)  01-Jan-1995   \n54                        Outbreak (1995)  01-Jan-1995   \n127                 Godfather, The (1972)  01-Jan-1972   \n172       Empire Strikes Back, The (1980)  01-Jan-1980   \n187        Godfather: Part II, The (1974)  01-Jan-1974   \n188              Full Metal Jacket (1987)  01-Jan-1987   \n207             Cyrano de Bergerac (1990)  01-Jan-1990   \n245               Devil's Own, The (1997)  26-Mar-1997   \n313                        Titanic (1997)  01-Jan-1997   \n326                      G.I. Jane (1997)  01-Jan-1997   \n403                         Batman (1989)  01-Jan-1989   \n510         Magnificent Seven, The (1954)  01-Jan-1954   \n515                      Boot, Das (1981)  04-Apr-1997   \n526                        Ben-Hur (1959)  01-Jan-1959   \n631               Crying Game, The (1992)  01-Jan-1992   \n651                          Glory (1989)  01-Jan-1989   \n686               Perfect World, A (1993)  01-Jan-1993   \n720                   First Knight (1995)  01-Jan-1995   \n806              Menace II Society (1993)  01-Jan-1993   \n840              Last Man Standing (1996)  20-Sep-1996   \n855                           Diva (1981)  01-Jan-1981   \n\n                                                   IMDb_URL  unknown  Action  \\\nmovie_id                                                                       \n4         http://us.imdb.com/M/title-exact?Get%20Shorty%...        0       1   \n22        http://us.imdb.com/M/title-exact?Braveheart%20...        0       1   \n28        http://us.imdb.com/M/title-exact?Apollo%2013%2...        0       1   \n54        http://us.imdb.com/M/title-exact?Outbreak%20(1...        0       1   \n127       http://us.imdb.com/M/title-exact?Godfather,%20...        0       1   \n172       http://us.imdb.com/M/title-exact?Empire%20Stri...        0       1   \n187       http://us.imdb.com/M/title-exact?Godfather:%20...        0       1   \n188       http://us.imdb.com/M/title-exact?Full%20Metal%...        0       1   \n207       http://us.imdb.com/M/title-exact?Cyrano%20de%2...        0       1   \n245       http://us.imdb.com/M/title-exact?Devil%27s%20O...        0       1   \n313       http://us.imdb.com/M/title-exact?imdb-title-12...        0       1   \n326       http://us.imdb.com/M/title-exact?G%2EI%2E+Jane...        0       1   \n403        http://us.imdb.com/M/title-exact?Batman%20(1989)        0       1   \n510       http://us.imdb.com/M/title-exact?Shichinin%20n...        0       1   \n515       http://us.imdb.com/M/title-exact?Boot,%20Das%2...        0       1   \n526       http://us.imdb.com/M/title-exact?Ben-Hur%20(1959)        0       1   \n631       http://us.imdb.com/M/title-exact?Crying%20Game...        0       1   \n651         http://us.imdb.com/M/title-exact?Glory%20(1989)        0       1   \n686       http://us.imdb.com/M/title-exact?Perfect%20Wor...        0       1   \n720       http://us.imdb.com/M/title-exact?First%20Knigh...        0       1   \n806       http://us.imdb.com/M/title-exact?Menace%20II%2...        0       1   \n840       http://us.imdb.com/M/title-exact?Last%20Man%20...        0       1   \n855          http://us.imdb.com/M/title-exact?Diva%20(1981)        0       1   \n\n          Adventure  Animation  Children  Comedy  Crime  ...  Horror  Musical  \\\nmovie_id                                                 ...                    \n4                 0          0         0       1      0  ...       0        0   \n22                0          0         0       0      0  ...       0        0   \n28                0          0         0       0      0  ...       0        0   \n54                0          0         0       0      0  ...       0        0   \n127               0          0         0       0      1  ...       0        0   \n172               1          0         0       0      0  ...       0        0   \n187               0          0         0       0      1  ...       0        0   \n188               0          0         0       0      0  ...       0        0   \n207               0          0         0       0      0  ...       0        0   \n245               0          0         0       0      0  ...       0        0   \n313               0          0         0       0      0  ...       0        0   \n326               0          0         0       0      0  ...       0        0   \n403               1          0         0       0      1  ...       0        0   \n510               0          0         0       0      0  ...       0        0   \n515               0          0         0       0      0  ...       0        0   \n526               1          0         0       0      0  ...       0        0   \n631               0          0         0       0      0  ...       0        0   \n651               0          0         0       0      0  ...       0        0   \n686               0          0         0       0      0  ...       0        0   \n720               1          0         0       0      0  ...       0        0   \n806               0          0         0       0      1  ...       0        0   \n840               0          0         0       0      0  ...       0        0   \n855               0          0         0       0      0  ...       0        0   \n\n          Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nmovie_id                                                                    \n4               0        0      0         0    0        0             209   \n22              0        0      0         0    1        0             297   \n28              0        0      0         1    0        0             276   \n54              0        0      0         1    0        0             104   \n127             0        0      0         0    0        0             413   \n172             0        1      1         0    1        0             367   \n187             0        0      0         0    0        0             209   \n188             0        0      0         0    1        0             170   \n207             0        1      0         0    0        0              66   \n245             0        0      0         1    1        0             240   \n313             0        1      0         0    0        0             350   \n326             0        0      0         0    1        0             175   \n403             0        0      0         0    0        0             201   \n510             0        0      0         0    0        1             121   \n515             0        0      0         0    1        0             201   \n526             0        0      0         0    0        0             124   \n631             0        1      0         0    1        0             119   \n651             0        0      0         0    1        0             171   \n686             0        0      0         0    0        0              50   \n720             0        1      0         0    0        0              86   \n806             0        0      0         0    0        0              50   \n840             0        0      0         0    0        1              53   \n855             1        1      0         1    0        0              66   \n\n          nota_media  \nmovie_id              \n4           3.550239  \n22          4.151515  \n28          3.931159  \n54          3.240385  \n127         4.283293  \n172         4.204360  \n187         4.186603  \n188         3.682353  \n207         3.818182  \n245         3.108333  \n313         4.245714  \n326         3.360000  \n403         3.427861  \n510         3.942149  \n515         4.203980  \n526         3.830645  \n631         3.621849  \n651         4.076023  \n686         3.680000  \n720         3.023256  \n806         3.460000  \n840         2.660377  \n855         3.727273  \n\n[23 rows x 24 columns]","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>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>Crime</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>movie_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>4</th>\n      <td>Get Shorty (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Get%20Shorty%...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>209</td>\n      <td>3.550239</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>Braveheart (1995)</td>\n      <td>16-Feb-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Braveheart%20...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>297</td>\n      <td>4.151515</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>Apollo 13 (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Apollo%2013%2...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>276</td>\n      <td>3.931159</td>\n    </tr>\n    <tr>\n      <th>54</th>\n      <td>Outbreak (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?Outbreak%20(1...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>104</td>\n      <td>3.240385</td>\n    </tr>\n    <tr>\n      <th>127</th>\n      <td>Godfather, The (1972)</td>\n      <td>01-Jan-1972</td>\n      <td>http://us.imdb.com/M/title-exact?Godfather,%20...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>413</td>\n      <td>4.283293</td>\n    </tr>\n    <tr>\n      <th>172</th>\n      <td>Empire Strikes Back, The (1980)</td>\n      <td>01-Jan-1980</td>\n      <td>http://us.imdb.com/M/title-exact?Empire%20Stri...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>367</td>\n      <td>4.204360</td>\n    </tr>\n    <tr>\n      <th>187</th>\n      <td>Godfather: Part II, The (1974)</td>\n      <td>01-Jan-1974</td>\n      <td>http://us.imdb.com/M/title-exact?Godfather:%20...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>209</td>\n      <td>4.186603</td>\n    </tr>\n    <tr>\n      <th>188</th>\n      <td>Full Metal Jacket (1987)</td>\n      <td>01-Jan-1987</td>\n      <td>http://us.imdb.com/M/title-exact?Full%20Metal%...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>170</td>\n      <td>3.682353</td>\n    </tr>\n    <tr>\n      <th>207</th>\n      <td>Cyrano de Bergerac (1990)</td>\n      <td>01-Jan-1990</td>\n      <td>http://us.imdb.com/M/title-exact?Cyrano%20de%2...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>66</td>\n      <td>3.818182</td>\n    </tr>\n    <tr>\n      <th>245</th>\n      <td>Devil's Own, The (1997)</td>\n      <td>26-Mar-1997</td>\n      <td>http://us.imdb.com/M/title-exact?Devil%27s%20O...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>240</td>\n      <td>3.108333</td>\n    </tr>\n    <tr>\n      <th>313</th>\n      <td>Titanic (1997)</td>\n      <td>01-Jan-1997</td>\n      <td>http://us.imdb.com/M/title-exact?imdb-title-12...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>350</td>\n      <td>4.245714</td>\n    </tr>\n    <tr>\n      <th>326</th>\n      <td>G.I. Jane (1997)</td>\n      <td>01-Jan-1997</td>\n      <td>http://us.imdb.com/M/title-exact?G%2EI%2E+Jane...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>175</td>\n      <td>3.360000</td>\n    </tr>\n    <tr>\n      <th>403</th>\n      <td>Batman (1989)</td>\n      <td>01-Jan-1989</td>\n      <td>http://us.imdb.com/M/title-exact?Batman%20(1989)</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>201</td>\n      <td>3.427861</td>\n    </tr>\n    <tr>\n      <th>510</th>\n      <td>Magnificent Seven, The (1954)</td>\n      <td>01-Jan-1954</td>\n      <td>http://us.imdb.com/M/title-exact?Shichinin%20n...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>121</td>\n      <td>3.942149</td>\n    </tr>\n    <tr>\n      <th>515</th>\n      <td>Boot, Das (1981)</td>\n      <td>04-Apr-1997</td>\n      <td>http://us.imdb.com/M/title-exact?Boot,%20Das%2...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>201</td>\n      <td>4.203980</td>\n    </tr>\n    <tr>\n      <th>526</th>\n      <td>Ben-Hur (1959)</td>\n      <td>01-Jan-1959</td>\n      <td>http://us.imdb.com/M/title-exact?Ben-Hur%20(1959)</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>124</td>\n      <td>3.830645</td>\n    </tr>\n    <tr>\n      <th>631</th>\n      <td>Crying Game, The (1992)</td>\n      <td>01-Jan-1992</td>\n      <td>http://us.imdb.com/M/title-exact?Crying%20Game...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>119</td>\n      <td>3.621849</td>\n    </tr>\n    <tr>\n      <th>651</th>\n      <td>Glory (1989)</td>\n      <td>01-Jan-1989</td>\n      <td>http://us.imdb.com/M/title-exact?Glory%20(1989)</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>171</td>\n      <td>4.076023</td>\n    </tr>\n    <tr>\n      <th>686</th>\n      <td>Perfect World, A (1993)</td>\n      <td>01-Jan-1993</td>\n      <td>http://us.imdb.com/M/title-exact?Perfect%20Wor...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>50</td>\n      <td>3.680000</td>\n    </tr>\n    <tr>\n      <th>720</th>\n      <td>First Knight (1995)</td>\n      <td>01-Jan-1995</td>\n      <td>http://us.imdb.com/M/title-exact?First%20Knigh...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>86</td>\n      <td>3.023256</td>\n    </tr>\n    <tr>\n      <th>806</th>\n      <td>Menace II Society (1993)</td>\n      <td>01-Jan-1993</td>\n      <td>http://us.imdb.com/M/title-exact?Menace%20II%2...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>50</td>\n      <td>3.460000</td>\n    </tr>\n    <tr>\n      <th>840</th>\n      <td>Last Man Standing (1996)</td>\n      <td>20-Sep-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Last%20Man%20...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>53</td>\n      <td>2.660377</td>\n    </tr>\n    <tr>\n      <th>855</th>\n      <td>Diva (1981)</td>\n      <td>01-Jan-1981</td>\n      <td>http://us.imdb.com/M/title-exact?Diva%20(1981)</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>66</td>\n      <td>3.727273</td>\n    </tr>\n  </tbody>\n</table>\n<p>23 rows × 24 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Fiz uma nova variável para receber os filmes destes gêneros e visualizar os 5 primeiros com as melhores médias.\nacao_drama = filmes_com_mais_de_50_votos.query('Action == 1 and Drama == 1')\nacao_drama.sort_values('nota_media', ascending = False).head(5)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:52.664406Z","iopub.execute_input":"2023-04-14T16:05:52.664862Z","iopub.status.idle":"2023-04-14T16:05:52.692623Z","shell.execute_reply.started":"2023-04-14T16:05:52.664822Z","shell.execute_reply":"2023-04-14T16:05:52.691214Z"},"trusted":true},"execution_count":24,"outputs":[{"execution_count":24,"output_type":"execute_result","data":{"text/plain":"                              movie_title release_date  \\\nmovie_id                                                 \n127                 Godfather, The (1972)  01-Jan-1972   \n313                        Titanic (1997)  01-Jan-1997   \n172       Empire Strikes Back, The (1980)  01-Jan-1980   \n515                      Boot, Das (1981)  04-Apr-1997   \n187        Godfather: Part II, The (1974)  01-Jan-1974   \n\n                                                   IMDb_URL  unknown  Action  \\\nmovie_id                                                                       \n127       http://us.imdb.com/M/title-exact?Godfather,%20...        0       1   \n313       http://us.imdb.com/M/title-exact?imdb-title-12...        0       1   \n172       http://us.imdb.com/M/title-exact?Empire%20Stri...        0       1   \n515       http://us.imdb.com/M/title-exact?Boot,%20Das%2...        0       1   \n187       http://us.imdb.com/M/title-exact?Godfather:%20...        0       1   \n\n          Adventure  Animation  Children  Comedy  Crime  ...  Horror  Musical  \\\nmovie_id                                                 ...                    \n127               0          0         0       0      1  ...       0        0   \n313               0          0         0       0      0  ...       0        0   \n172               1          0         0       0      0  ...       0        0   \n515               0          0         0       0      0  ...       0        0   \n187               0          0         0       0      1  ...       0        0   \n\n          Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nmovie_id                                                                    \n127             0        0      0         0    0        0             413   \n313             0        1      0         0    0        0             350   \n172             0        1      1         0    1        0             367   \n515             0        0      0         0    1        0             201   \n187             0        0      0         0    0        0             209   \n\n          nota_media  \nmovie_id              \n127         4.283293  \n313         4.245714  \n172         4.204360  \n515         4.203980  \n187         4.186603  \n\n[5 rows x 24 columns]","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>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>Crime</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>movie_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>127</th>\n      <td>Godfather, The (1972)</td>\n      <td>01-Jan-1972</td>\n      <td>http://us.imdb.com/M/title-exact?Godfather,%20...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>413</td>\n      <td>4.283293</td>\n    </tr>\n    <tr>\n      <th>313</th>\n      <td>Titanic (1997)</td>\n      <td>01-Jan-1997</td>\n      <td>http://us.imdb.com/M/title-exact?imdb-title-12...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>350</td>\n      <td>4.245714</td>\n    </tr>\n    <tr>\n      <th>172</th>\n      <td>Empire Strikes Back, The (1980)</td>\n      <td>01-Jan-1980</td>\n      <td>http://us.imdb.com/M/title-exact?Empire%20Stri...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>367</td>\n      <td>4.204360</td>\n    </tr>\n    <tr>\n      <th>515</th>\n      <td>Boot, Das (1981)</td>\n      <td>04-Apr-1997</td>\n      <td>http://us.imdb.com/M/title-exact?Boot,%20Das%2...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>201</td>\n      <td>4.203980</td>\n    </tr>\n    <tr>\n      <th>187</th>\n      <td>Godfather: Part II, The (1974)</td>\n      <td>01-Jan-1974</td>\n      <td>http://us.imdb.com/M/title-exact?Godfather:%20...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>209</td>\n      <td>4.186603</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 24 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Deste resultado, eu exclui os filmes que já assisti:\nacao_drama.drop(assistido, errors = 'ignore').sort_values('nota_media', ascending = False).head(5)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:53.487576Z","iopub.execute_input":"2023-04-14T16:05:53.488058Z","iopub.status.idle":"2023-04-14T16:05:53.513431Z","shell.execute_reply.started":"2023-04-14T16:05:53.487995Z","shell.execute_reply":"2023-04-14T16:05:53.511822Z"},"trusted":true},"execution_count":25,"outputs":[{"execution_count":25,"output_type":"execute_result","data":{"text/plain":"                              movie_title release_date  \\\nmovie_id                                                 \n127                 Godfather, The (1972)  01-Jan-1972   \n172       Empire Strikes Back, The (1980)  01-Jan-1980   \n515                      Boot, Das (1981)  04-Apr-1997   \n187        Godfather: Part II, The (1974)  01-Jan-1974   \n22                      Braveheart (1995)  16-Feb-1996   \n\n                                                   IMDb_URL  unknown  Action  \\\nmovie_id                                                                       \n127       http://us.imdb.com/M/title-exact?Godfather,%20...        0       1   \n172       http://us.imdb.com/M/title-exact?Empire%20Stri...        0       1   \n515       http://us.imdb.com/M/title-exact?Boot,%20Das%2...        0       1   \n187       http://us.imdb.com/M/title-exact?Godfather:%20...        0       1   \n22        http://us.imdb.com/M/title-exact?Braveheart%20...        0       1   \n\n          Adventure  Animation  Children  Comedy  Crime  ...  Horror  Musical  \\\nmovie_id                                                 ...                    \n127               0          0         0       0      1  ...       0        0   \n172               1          0         0       0      0  ...       0        0   \n515               0          0         0       0      0  ...       0        0   \n187               0          0         0       0      1  ...       0        0   \n22                0          0         0       0      0  ...       0        0   \n\n          Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nmovie_id                                                                    \n127             0        0      0         0    0        0             413   \n172             0        1      1         0    1        0             367   \n515             0        0      0         0    1        0             201   \n187             0        0      0         0    0        0             209   \n22              0        0      0         0    1        0             297   \n\n          nota_media  \nmovie_id              \n127         4.283293  \n172         4.204360  \n515         4.203980  \n187         4.186603  \n22          4.151515  \n\n[5 rows x 24 columns]","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>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>Crime</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>movie_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>127</th>\n      <td>Godfather, The (1972)</td>\n      <td>01-Jan-1972</td>\n      <td>http://us.imdb.com/M/title-exact?Godfather,%20...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>413</td>\n      <td>4.283293</td>\n    </tr>\n    <tr>\n      <th>172</th>\n      <td>Empire Strikes Back, The (1980)</td>\n      <td>01-Jan-1980</td>\n      <td>http://us.imdb.com/M/title-exact?Empire%20Stri...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>367</td>\n      <td>4.204360</td>\n    </tr>\n    <tr>\n      <th>515</th>\n      <td>Boot, Das (1981)</td>\n      <td>04-Apr-1997</td>\n      <td>http://us.imdb.com/M/title-exact?Boot,%20Das%2...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>201</td>\n      <td>4.203980</td>\n    </tr>\n    <tr>\n      <th>187</th>\n      <td>Godfather: Part II, The (1974)</td>\n      <td>01-Jan-1974</td>\n      <td>http://us.imdb.com/M/title-exact?Godfather:%20...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>209</td>\n      <td>4.186603</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>Braveheart (1995)</td>\n      <td>16-Feb-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Braveheart%20...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>297</td>\n      <td>4.151515</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 24 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"De acordo com o gênero escolhido e melhores média de avaliação, as recomendações são:\n\n- O Poderoso Chefão;\n- Star Wars: O Império Contra-Ataca;\n- O Barco;\n- O Poderoso Chefão 2;\n- Coração Valente.\n\nMas, lembrando que, não considerei os filmes com menos de 50 avaliações. Isso faz com que filmes produzidos por pequenas produtoras ou que ainda não caíram no gosto do grande público, não sejam encontrados por novos usuários e desestimulando a procura por novas obras.","metadata":{}},{"cell_type":"markdown","source":"# Fazendo um sistema de recomendação utilizando o histórico do usuário:","metadata":{}},{"cell_type":"markdown","source":"Eu compartilho o gosto de algumas coisas com meus amigos, por exemplo, gostamos de alguns filmes, séries e livros, ao mesmo tempo que não gostamos de outras obras. Ou seja, eu e meus amigos podemos avaliar essas obras com notas iguais ou próximas.\n\nPara averiguar se compartilhamos os mesmos gostos, podemos calcular a distância euclidiana entre as avaliações, que em resumo, quanto menor for este valor, mais \"compatível\" e próximo será o gosto entre os perfis. Assim, se um usuário gostou de um filme que o outro perfil ainda não assistiu, será mais fácil efetuar recomendações.\n\nEscolhendo o primeiro usuário:\n\n![image.png](attachment:46477ab5-ae4e-4075-ae27-56605c6654fe.png)","metadata":{},"attachments":{"46477ab5-ae4e-4075-ae27-56605c6654fe.png":{"image/png":"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"}}},{"cell_type":"code","source":"usuario_43 = notas.query('user_id == 43')\nusuario_43[['item_id', 'rating']].set_index('item_id')","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:56.504587Z","iopub.execute_input":"2023-04-14T16:05:56.505094Z","iopub.status.idle":"2023-04-14T16:05:56.525418Z","shell.execute_reply.started":"2023-04-14T16:05:56.505048Z","shell.execute_reply":"2023-04-14T16:05:56.524087Z"},"trusted":true},"execution_count":26,"outputs":[{"execution_count":26,"output_type":"execute_result","data":{"text/plain":"         rating\nitem_id        \n14            2\n137           4\n323           3\n815           4\n120           4\n...         ...\n254           3\n202           5\n892           3\n591           5\n123           1\n\n[221 rows x 1 columns]","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>rating</th>\n    </tr>\n    <tr>\n      <th>item_id</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>14</th>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>137</th>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>323</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>815</th>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>120</th>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>254</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>202</th>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>892</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>591</th>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>221 rows × 1 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"def historico_usuario(usuario):\n    historico_usuario = notas.query('user_id == %d' % usuario)\n    historico_usuario = historico_usuario[['item_id', 'rating']].set_index('item_id')\n    return historico_usuario\n\nhistorico_usuario(43)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:05:57.281178Z","iopub.execute_input":"2023-04-14T16:05:57.281634Z","iopub.status.idle":"2023-04-14T16:05:57.301655Z","shell.execute_reply.started":"2023-04-14T16:05:57.281598Z","shell.execute_reply":"2023-04-14T16:05:57.300180Z"},"trusted":true},"execution_count":27,"outputs":[{"execution_count":27,"output_type":"execute_result","data":{"text/plain":"         rating\nitem_id        \n14            2\n137           4\n323           3\n815           4\n120           4\n...         ...\n254           3\n202           5\n892           3\n591           5\n123           1\n\n[221 rows x 1 columns]","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>rating</th>\n    </tr>\n    <tr>\n      <th>item_id</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>14</th>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>137</th>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>323</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>815</th>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>120</th>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>254</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>202</th>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>892</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>591</th>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>221 rows × 1 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"Escolhendo outro usuário:\n\n![image.png](attachment:ebedd0ac-7724-419d-94b3-da18e7b32ee9.png)","metadata":{},"attachments":{"ebedd0ac-7724-419d-94b3-da18e7b32ee9.png":{"image/png":"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"}}},{"cell_type":"code","source":"historico_usuario(62)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:03.563723Z","iopub.execute_input":"2023-04-14T16:06:03.564193Z","iopub.status.idle":"2023-04-14T16:06:03.587832Z","shell.execute_reply.started":"2023-04-14T16:06:03.564153Z","shell.execute_reply":"2023-04-14T16:06:03.585943Z"},"trusted":true},"execution_count":28,"outputs":[{"execution_count":28,"output_type":"execute_result","data":{"text/plain":"         rating\nitem_id        \n257           2\n498           4\n382           3\n21            3\n65            4\n...         ...\n15            2\n215           3\n151           5\n924           1\n64            4\n\n[232 rows x 1 columns]","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>rating</th>\n    </tr>\n    <tr>\n      <th>item_id</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>257</th>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>498</th>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>382</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>65</th>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>215</th>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>151</th>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>924</th>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>4</td>\n    </tr>\n  </tbody>\n</table>\n<p>232 rows × 1 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"user43 = historico_usuario(43)\nuser62 = historico_usuario(62)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:04.544288Z","iopub.execute_input":"2023-04-14T16:06:04.544781Z","iopub.status.idle":"2023-04-14T16:06:04.562396Z","shell.execute_reply.started":"2023-04-14T16:06:04.544739Z","shell.execute_reply":"2023-04-14T16:06:04.561103Z"},"trusted":true},"execution_count":29,"outputs":[]},{"cell_type":"code","source":"# Unindo as avaliações dos dois usuários e deixando no dataframe somente os filmes que ambos têm em comum:\n\nuser43.join(user62, lsuffix = '_do_user', rsuffix = '_comparacao').dropna()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:05.522005Z","iopub.execute_input":"2023-04-14T16:06:05.522832Z","iopub.status.idle":"2023-04-14T16:06:05.542854Z","shell.execute_reply.started":"2023-04-14T16:06:05.522790Z","shell.execute_reply":"2023-04-14T16:06:05.542009Z"},"trusted":true},"execution_count":30,"outputs":[{"execution_count":30,"output_type":"execute_result","data":{"text/plain":"         rating_do_user  rating_comparacao\nitem_id                                   \n14                    2                4.0\n815                   4                3.0\n204                   4                3.0\n151                   4                5.0\n64                    5                4.0\n...                 ...                ...\n421                   3                5.0\n127                   4                4.0\n845                   5                3.0\n4                     4                4.0\n144                   4                3.0\n\n[88 rows x 2 columns]","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>rating_do_user</th>\n      <th>rating_comparacao</th>\n    </tr>\n    <tr>\n      <th>item_id</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>14</th>\n      <td>2</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>815</th>\n      <td>4</td>\n      <td>3.0</td>\n    </tr>\n    <tr>\n      <th>204</th>\n      <td>4</td>\n      <td>3.0</td>\n    </tr>\n    <tr>\n      <th>151</th>\n      <td>4</td>\n      <td>5.0</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>5</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>421</th>\n      <td>3</td>\n      <td>5.0</td>\n    </tr>\n    <tr>\n      <th>127</th>\n      <td>4</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>845</th>\n      <td>5</td>\n      <td>3.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>144</th>\n      <td>4</td>\n      <td>3.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>88 rows × 2 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"diferenca = user43.join(user62, lsuffix = '_do_user', rsuffix = '_comparacao').dropna()\n\nnp.linalg.norm(diferenca['rating_do_user'] - diferenca['rating_comparacao'])","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:06.476190Z","iopub.execute_input":"2023-04-14T16:06:06.477432Z","iopub.status.idle":"2023-04-14T16:06:06.489145Z","shell.execute_reply.started":"2023-04-14T16:06:06.477381Z","shell.execute_reply":"2023-04-14T16:06:06.488089Z"},"trusted":true},"execution_count":31,"outputs":[{"execution_count":31,"output_type":"execute_result","data":{"text/plain":"13.564659966250536"},"metadata":{}}]},{"cell_type":"markdown","source":"Diante este valor, ainda não é possível dizer se os perfis são compatíveis, ou não. Porém vou fazer uma função para agilizar o cálculo entre outros usuários.","metadata":{}},{"cell_type":"code","source":"def distancia_entre_perfis(user_id1, user_id2):\n    notas1 = historico_usuario(user_id1)\n    notas2 = historico_usuario(user_id2)\n    diferenca = notas1.join(notas2, lsuffix = '_do_user', rsuffix = '_comparacao').dropna()\n    distancia = np.linalg.norm(diferenca['rating_do_user'] - diferenca['rating_comparacao'])\n    return [user_id1, user_id2, distancia]","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:08.011921Z","iopub.execute_input":"2023-04-14T16:06:08.012823Z","iopub.status.idle":"2023-04-14T16:06:08.020417Z","shell.execute_reply.started":"2023-04-14T16:06:08.012776Z","shell.execute_reply":"2023-04-14T16:06:08.018951Z"},"trusted":true},"execution_count":32,"outputs":[]},{"cell_type":"code","source":"distancia_entre_perfis(43, 62)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:08.823762Z","iopub.execute_input":"2023-04-14T16:06:08.824944Z","iopub.status.idle":"2023-04-14T16:06:08.848056Z","shell.execute_reply.started":"2023-04-14T16:06:08.824881Z","shell.execute_reply":"2023-04-14T16:06:08.846832Z"},"trusted":true},"execution_count":33,"outputs":[{"execution_count":33,"output_type":"execute_result","data":{"text/plain":"[43, 62, 13.564659966250536]"},"metadata":{}}]},{"cell_type":"markdown","source":"## Verificando quais são os perfis com maior compatibilidade:","metadata":{}},{"cell_type":"code","source":"notas.user_id.unique()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:10.339998Z","iopub.execute_input":"2023-04-14T16:06:10.341192Z","iopub.status.idle":"2023-04-14T16:06:10.355761Z","shell.execute_reply.started":"2023-04-14T16:06:10.341127Z","shell.execute_reply":"2023-04-14T16:06:10.354188Z"},"trusted":true},"execution_count":34,"outputs":[{"execution_count":34,"output_type":"execute_result","data":{"text/plain":"array([196, 186,  22, 244, 166, 298, 115, 253, 305,   6,  62, 286, 200,\n       210, 224, 303, 122, 194, 291, 234, 119, 167, 299, 308,  95,  38,\n       102,  63, 160,  50, 301, 225, 290,  97, 157, 181, 278, 276,   7,\n        10, 284, 201, 287, 246, 242, 249,  99, 178, 251,  81, 260,  25,\n        59,  72,  87,  42, 292,  20,  13, 138,  60,  57, 223, 189, 243,\n        92, 241, 254, 293, 127, 222, 267,  11,   8, 162, 279, 145,  28,\n       135,  32,  90, 216, 250, 271, 265, 198, 168, 110,  58, 237,  94,\n       128,  44, 264,  41,  82, 262, 174,  43,  84, 269, 259,  85, 213,\n       121,  49, 155,  68, 172,  19, 268,   5,  80,  66,  18,  26, 130,\n       256,   1,  56,  15, 207, 232,  52, 161, 148, 125,  83, 272, 151,\n        54,  16,  91, 294, 229,  36,  70,  14, 295, 233, 214, 192, 100,\n       307, 297, 193, 113, 275, 219, 218, 123, 158, 302,  23, 296,  33,\n       154,  77, 270, 187, 170, 101, 184, 112, 133, 215,  69, 104, 240,\n       144, 191,  61, 142, 177, 203,  21, 197, 134, 180, 236, 263, 109,\n        64, 114, 239, 117,  65, 137, 257, 111, 285,  96, 116,  73, 221,\n       235, 164, 281, 182, 129,  45, 131, 230, 126, 231, 280, 288, 152,\n       217,  79,  75, 245, 282,  78, 118, 283, 171, 107, 226, 306, 173,\n       185, 150, 274, 188,  48, 311, 165, 208,   2, 205, 248,  93, 159,\n       146,  29, 156,  37, 141, 195, 108,  47, 255,  89, 140, 190,  24,\n        17, 313,  53, 124, 149, 176, 106, 312, 175, 153, 220, 143, 199,\n       202, 277, 206,  76, 314, 136, 179,   4, 304,   3, 227, 252, 212,\n       310,  35, 147, 105,  34,  71,  51, 204, 315,  31, 316, 103, 318,\n        30, 120,  46, 289, 209, 261,  88,   9, 247, 321, 266,  74, 238,\n       319, 323,  67, 211,  98,  12,  40, 258, 228, 325, 320, 326, 327,\n       183, 328, 322, 330,  27, 331, 332, 329,  86, 139, 300, 163, 333,\n       334,  39, 324, 132, 336, 335, 169, 338, 339, 309, 342, 340, 317,\n       341, 343, 344, 345, 346, 347, 273,  55, 349, 348, 354, 351, 358,\n       352, 360, 363, 355, 362, 357, 356, 361, 365, 350, 367, 368, 371,\n       373, 370, 374, 372, 337, 378, 366, 377, 375, 359, 379, 380, 381,\n       385, 382, 387, 364, 369, 388, 386, 389, 383, 390, 393, 392, 376,\n       394, 391, 398, 397, 399, 396, 401, 402, 384, 395, 353, 403, 405,\n       400, 406, 407, 409, 404, 413, 416, 408, 410, 411, 417, 412, 420,\n       422, 425, 419, 415, 423, 429, 428, 427, 418, 424, 432, 421, 435,\n       433, 426, 436, 430, 434, 437, 438, 431, 442, 440, 445, 447, 449,\n       450, 446, 439, 451, 452, 454, 453, 414, 455, 444, 448, 457, 456,\n       458, 462, 459, 460, 461, 467, 468, 466, 472, 465, 463, 471, 474,\n       469, 464, 476, 478, 473, 470, 480, 441, 479, 484, 486, 487, 482,\n       481, 492, 493, 490, 489, 483, 496, 494, 495, 477, 497, 488, 498,\n       499, 491, 500, 502, 503, 504, 505, 506, 443, 507, 514, 508, 511,\n       515, 512, 513, 475, 523, 518, 509, 516, 510, 524, 501, 525, 521,\n       520, 519, 528, 532, 530, 531, 529, 517, 527, 485, 533, 535, 536,\n       526, 537, 534, 541, 538, 542, 545, 539, 547, 543, 548, 546, 522,\n       551, 544, 553, 552, 540, 554, 550, 556, 559, 560, 561, 563, 566,\n       557, 558, 564, 565, 573, 549, 567, 569, 562, 576, 577, 579, 574,\n       555, 572, 575, 584, 588, 587, 568, 586, 585, 582, 591, 581, 592,\n       580, 590, 593, 583, 596, 570, 599, 589, 594, 597, 578, 601, 602,\n       600, 605, 603, 595, 606, 608, 607, 610, 611, 617, 618, 614, 609,\n       615, 616, 620, 571, 619, 613, 622, 621, 604, 624, 612, 627, 623,\n       628, 625, 629, 633, 632, 631, 634, 639, 630, 642, 637, 640, 626,\n       643, 598, 638, 635, 644, 636, 645, 648, 647, 650, 651, 654, 653,\n       655, 649, 658, 656, 660, 659, 646, 663, 664, 657, 665, 666, 661,\n       662, 667, 641, 668, 673, 671, 669, 676, 674, 652, 677, 682, 679,\n       684, 685, 683, 691, 672, 692, 690, 689, 686, 693, 688, 697, 698,\n       670, 694, 680, 705, 701, 699, 704, 707, 700, 687, 695, 675, 708,\n       709, 711, 710, 712, 715, 713, 716, 681, 678, 719, 702, 721, 714,\n       717, 718, 696, 722, 724, 727, 725, 706, 720, 729, 726, 728, 703,\n       738, 736, 734, 730, 743, 742, 737, 733, 745, 740, 735, 747, 723,\n       739, 749, 748, 746, 731, 750, 741, 751, 756, 757, 752, 758, 732,\n       762, 744, 754, 753, 763, 764, 767, 769, 755, 771, 768, 773, 765,\n       772, 766, 774, 760, 761, 777, 759, 776, 780, 779, 778, 782, 786,\n       784, 770, 788, 789, 790, 787, 783, 785, 794, 781, 796, 795, 793,\n       798, 791, 802, 800, 804, 803, 775, 792, 799, 805, 806, 807, 797,\n       801, 809, 815, 817, 821, 818, 814, 812, 823, 825, 827, 829, 811,\n       830, 826, 831, 819, 828, 808, 835, 833, 836, 816, 838, 839, 840,\n       832, 810, 844, 843, 834, 846, 837, 813, 842, 847, 848, 822, 852,\n       851, 849, 854, 850, 858, 853, 855, 824, 845, 841, 859, 862, 856,\n       820, 863, 860, 857, 864, 865, 868, 867, 861, 870, 871, 875, 876,\n       872, 866, 877, 873, 880, 878, 869, 881, 879, 883, 882, 884, 886,\n       885, 889, 874, 892, 890, 893, 887, 891, 894, 896, 897, 901, 899,\n       903, 904, 907, 905, 902, 898, 895, 906, 900, 908, 916, 911, 912,\n       914, 918, 919, 921, 910, 913, 915, 922, 923, 928, 927, 924, 929,\n       931, 917, 932, 909, 934, 933, 935, 938, 940, 888, 925, 942, 937,\n       926, 943, 939, 936, 930, 920, 941])"},"metadata":{}}]},{"cell_type":"code","source":"print('O dataset possui %d usuarios.' % len(notas.user_id.unique()))","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:11.074853Z","iopub.execute_input":"2023-04-14T16:06:11.076266Z","iopub.status.idle":"2023-04-14T16:06:11.082851Z","shell.execute_reply.started":"2023-04-14T16:06:11.076182Z","shell.execute_reply":"2023-04-14T16:06:11.081532Z"},"trusted":true},"execution_count":35,"outputs":[{"name":"stdout","text":"O dataset possui 943 usuarios.\n","output_type":"stream"}]},{"cell_type":"markdown","source":"No dataframe das avaliações, no total há 943 usuários. Portanto, vou comparar as avaliações do perfil 43 com outros 5 usuários:","metadata":{}},{"cell_type":"code","source":"usuario_1 = 43\n\ndistancias = []\nfor usuario in notas['user_id'].unique():\n    calculo = distancia_entre_perfis(usuario_1, usuario)\n    distancias.append(calculo)\n\ndistancias[:5]","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:12.476394Z","iopub.execute_input":"2023-04-14T16:06:12.477520Z","iopub.status.idle":"2023-04-14T16:06:22.384001Z","shell.execute_reply.started":"2023-04-14T16:06:12.477469Z","shell.execute_reply":"2023-04-14T16:06:22.383053Z"},"trusted":true},"execution_count":36,"outputs":[{"execution_count":36,"output_type":"execute_result","data":{"text/plain":"[[43, 196, 5.916079783099616],\n [43, 186, 10.295630140987],\n [43, 22, 10.392304845413264],\n [43, 244, 13.638181696985855],\n [43, 166, 5.291502622129181]]"},"metadata":{}}]},{"cell_type":"markdown","source":"O resultado da comparação mostrou que a distância entre o usuário 43, com os demais, pode ser menor.","metadata":{}},{"cell_type":"code","source":"# Função para calcular a distância entre 1 usuário específico e os demais:\n\ndef distancia_entre_usuarios(usuario_1):\n    todos_os_usuarios = notas['user_id'].unique()\n    distancias = [distancia_entre_perfis(usuario_1, user_id) for user_id in todos_os_usuarios]\n    distancias = pd.DataFrame(distancias, columns = ['Usuario_1', 'Outro_user', 'Distancia'])\n    return distancias\n\ndistancia_entre_usuarios(43).head()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:25.587483Z","iopub.execute_input":"2023-04-14T16:06:25.588809Z","iopub.status.idle":"2023-04-14T16:06:35.370744Z","shell.execute_reply.started":"2023-04-14T16:06:25.588753Z","shell.execute_reply":"2023-04-14T16:06:35.369363Z"},"trusted":true},"execution_count":37,"outputs":[{"execution_count":37,"output_type":"execute_result","data":{"text/plain":"   Usuario_1  Outro_user  Distancia\n0         43         196   5.916080\n1         43         186  10.295630\n2         43          22  10.392305\n3         43         244  13.638182\n4         43         166   5.291503","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>Usuario_1</th>\n      <th>Outro_user</th>\n      <th>Distancia</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>43</td>\n      <td>196</td>\n      <td>5.916080</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>43</td>\n      <td>186</td>\n      <td>10.295630</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>43</td>\n      <td>22</td>\n      <td>10.392305</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>43</td>\n      <td>244</td>\n      <td>13.638182</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>43</td>\n      <td>166</td>\n      <td>5.291503</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Ordenando o Dataframe pela Distância:\n\ndef mais_proximos_de(usuario_1):\n    distancias = distancia_entre_usuarios(usuario_1)\n    distancias = distancias.sort_values('Distancia')\n    distancias = distancias.set_index('Outro_user').drop(usuario_1)\n    return distancias\n\nmais_proximos_de(43)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:06:35.372903Z","iopub.execute_input":"2023-04-14T16:06:35.374123Z","iopub.status.idle":"2023-04-14T16:06:45.183837Z","shell.execute_reply.started":"2023-04-14T16:06:35.374077Z","shell.execute_reply":"2023-04-14T16:06:45.182485Z"},"trusted":true},"execution_count":38,"outputs":[{"execution_count":38,"output_type":"execute_result","data":{"text/plain":"            Usuario_1  Distancia\nOutro_user                      \n172                43   1.000000\n355                43   1.414214\n565                43   1.732051\n613                43   1.732051\n427                43   1.732051\n...               ...        ...\n655                43  19.442222\n537                43  19.849433\n774                43  20.149442\n269                43  20.688161\n405                43  21.517435\n\n[942 rows x 2 columns]","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>Usuario_1</th>\n      <th>Distancia</th>\n    </tr>\n    <tr>\n      <th>Outro_user</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>172</th>\n      <td>43</td>\n      <td>1.000000</td>\n    </tr>\n    <tr>\n      <th>355</th>\n      <td>43</td>\n      <td>1.414214</td>\n    </tr>\n    <tr>\n      <th>565</th>\n      <td>43</td>\n      <td>1.732051</td>\n    </tr>\n    <tr>\n      <th>613</th>\n      <td>43</td>\n      <td>1.732051</td>\n    </tr>\n    <tr>\n      <th>427</th>\n      <td>43</td>\n      <td>1.732051</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>655</th>\n      <td>43</td>\n      <td>19.442222</td>\n    </tr>\n    <tr>\n      <th>537</th>\n      <td>43</td>\n      <td>19.849433</td>\n    </tr>\n    <tr>\n      <th>774</th>\n      <td>43</td>\n      <td>20.149442</td>\n    </tr>\n    <tr>\n      <th>269</th>\n      <td>43</td>\n      <td>20.688161</td>\n    </tr>\n    <tr>\n      <th>405</th>\n      <td>43</td>\n      <td>21.517435</td>\n    </tr>\n  </tbody>\n</table>\n<p>942 rows × 2 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"O retorno da função mostra que o usuário 43 tem um perfil mais parecido com o usuário 172, enquanto é distante do usuário 405.","metadata":{}},{"cell_type":"code","source":"mais_proximos_de(43).head(20)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:07:00.703898Z","iopub.execute_input":"2023-04-14T16:07:00.705369Z","iopub.status.idle":"2023-04-14T16:07:10.148259Z","shell.execute_reply.started":"2023-04-14T16:07:00.705310Z","shell.execute_reply":"2023-04-14T16:07:10.147067Z"},"trusted":true},"execution_count":39,"outputs":[{"execution_count":39,"output_type":"execute_result","data":{"text/plain":"            Usuario_1  Distancia\nOutro_user                      \n172                43   1.000000\n355                43   1.414214\n565                43   1.732051\n613                43   1.732051\n427                43   1.732051\n317                43   2.000000\n375                43   2.000000\n808                43   2.000000\n309                43   2.000000\n105                43   2.000000\n147                43   2.000000\n341                43   2.000000\n801                43   2.236068\n139                43   2.236068\n171                43   2.236068\n9                  43   2.236068\n549                43   2.449490\n855                43   2.449490\n688                43   2.449490\n511                43   2.449490","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>Usuario_1</th>\n      <th>Distancia</th>\n    </tr>\n    <tr>\n      <th>Outro_user</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>172</th>\n      <td>43</td>\n      <td>1.000000</td>\n    </tr>\n    <tr>\n      <th>355</th>\n      <td>43</td>\n      <td>1.414214</td>\n    </tr>\n    <tr>\n      <th>565</th>\n      <td>43</td>\n      <td>1.732051</td>\n    </tr>\n    <tr>\n      <th>613</th>\n      <td>43</td>\n      <td>1.732051</td>\n    </tr>\n    <tr>\n      <th>427</th>\n      <td>43</td>\n      <td>1.732051</td>\n    </tr>\n    <tr>\n      <th>317</th>\n      <td>43</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>375</th>\n      <td>43</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>808</th>\n      <td>43</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>309</th>\n      <td>43</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>105</th>\n      <td>43</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>147</th>\n      <td>43</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>341</th>\n      <td>43</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>801</th>\n      <td>43</td>\n      <td>2.236068</td>\n    </tr>\n    <tr>\n      <th>139</th>\n      <td>43</td>\n      <td>2.236068</td>\n    </tr>\n    <tr>\n      <th>171</th>\n      <td>43</td>\n      <td>2.236068</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>43</td>\n      <td>2.236068</td>\n    </tr>\n    <tr>\n      <th>549</th>\n      <td>43</td>\n      <td>2.449490</td>\n    </tr>\n    <tr>\n      <th>855</th>\n      <td>43</td>\n      <td>2.449490</td>\n    </tr>\n    <tr>\n      <th>688</th>\n      <td>43</td>\n      <td>2.449490</td>\n    </tr>\n    <tr>\n      <th>511</th>\n      <td>43</td>\n      <td>2.449490</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"# Gerando recomendação com KNN:","metadata":{}},{"cell_type":"markdown","source":"KNN significa *K-nearest neighbors*, que traduzindo é *K-vizinhos mais próximos*. Este método é parecido com o que foi feito até agora, quando buscamos os perfis de usuários que fossem mais próximos, através dos filmes que eles assistiram e notas que atribuíram.\n\nNesta fase, reformulei algumas funções. Por exemplo, a função **distancia_entre_perfis** recebeu um novo argumento, caso a quantidade de filmes que ambos assistiram for menor do que 5, a distância entre estes perfis não é calculada. Na função **distancia_entre_usuarios**, o novo argumento determina a quantidade máxima de perfis que se quer comparar. Já na função **mais_proximos_de**, adicionei os 2 argumentos citados anteriormente.","metadata":{}},{"cell_type":"code","source":"def distancia_entre_perfis(user_id1, user_id2, minimo = 5):\n    notas1 = historico_usuario(user_id1)\n    notas2 = historico_usuario(user_id2)\n    diferenca = notas1.join(notas2, lsuffix = '_do_user', rsuffix = '_comparacao').dropna()\n    \n    if(len(diferenca) < minimo):\n        return None\n    \n    distancia = np.linalg.norm(diferenca['rating_do_user'] - diferenca['rating_comparacao'])\n    return [user_id1, user_id2, distancia]","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:17:56.750350Z","iopub.execute_input":"2023-04-14T16:17:56.753872Z","iopub.status.idle":"2023-04-14T16:17:56.769998Z","shell.execute_reply.started":"2023-04-14T16:17:56.753729Z","shell.execute_reply":"2023-04-14T16:17:56.768333Z"},"trusted":true},"execution_count":40,"outputs":[]},{"cell_type":"code","source":"def distancia_entre_usuarios(user_1, numero_maximo_de_analise = None):\n    todos_os_usuarios = notas['user_id'].unique()\n    \n    if numero_maximo_de_analise:\n        todos_os_usuarios = todos_os_usuarios[:numero_maximo_de_analise]\n        \n    distancias = [distancia_entre_perfis(user_1, user_id) for user_id in todos_os_usuarios]\n    distancias = list(filter(None, distancias))\n    distancias = pd.DataFrame(distancias, columns = ['Usuario_1', 'Outro_user', 'Distancia'])\n    return distancias","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:17:57.934370Z","iopub.execute_input":"2023-04-14T16:17:57.935536Z","iopub.status.idle":"2023-04-14T16:17:57.944396Z","shell.execute_reply.started":"2023-04-14T16:17:57.935478Z","shell.execute_reply":"2023-04-14T16:17:57.942620Z"},"trusted":true},"execution_count":41,"outputs":[]},{"cell_type":"code","source":"def mais_proximos_de(user_1, quantidade_user_proximos = 10, numero_maximo_de_analise = None):\n    distancias = distancia_entre_usuarios(user_1, numero_maximo_de_analise = numero_maximo_de_analise)\n    distancias = distancias.sort_values('Distancia')\n    distancias = distancias.set_index('Outro_user').drop(user_1)\n    return distancias.head(quantidade_user_proximos)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:17:58.910338Z","iopub.execute_input":"2023-04-14T16:17:58.911467Z","iopub.status.idle":"2023-04-14T16:17:58.917398Z","shell.execute_reply.started":"2023-04-14T16:17:58.911393Z","shell.execute_reply":"2023-04-14T16:17:58.916400Z"},"trusted":true},"execution_count":42,"outputs":[]},{"cell_type":"code","source":"mais_proximos_de(196, numero_maximo_de_analise = 50)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:18:00.222386Z","iopub.execute_input":"2023-04-14T16:18:00.223292Z","iopub.status.idle":"2023-04-14T16:18:00.781360Z","shell.execute_reply.started":"2023-04-14T16:18:00.223247Z","shell.execute_reply":"2023-04-14T16:18:00.779950Z"},"trusted":true},"execution_count":43,"outputs":[{"execution_count":43,"output_type":"execute_result","data":{"text/plain":"            Usuario_1  Distancia\nOutro_user                      \n251               196   1.732051\n97                196   2.236068\n81                196   2.449490\n157               196   2.645751\n287               196   3.162278\n160               196   3.162278\n298               196   3.162278\n119               196   3.162278\n290               196   3.316625\n10                196   3.464102","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>Usuario_1</th>\n      <th>Distancia</th>\n    </tr>\n    <tr>\n      <th>Outro_user</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>251</th>\n      <td>196</td>\n      <td>1.732051</td>\n    </tr>\n    <tr>\n      <th>97</th>\n      <td>196</td>\n      <td>2.236068</td>\n    </tr>\n    <tr>\n      <th>81</th>\n      <td>196</td>\n      <td>2.449490</td>\n    </tr>\n    <tr>\n      <th>157</th>\n      <td>196</td>\n      <td>2.645751</td>\n    </tr>\n    <tr>\n      <th>287</th>\n      <td>196</td>\n      <td>3.162278</td>\n    </tr>\n    <tr>\n      <th>160</th>\n      <td>196</td>\n      <td>3.162278</td>\n    </tr>\n    <tr>\n      <th>298</th>\n      <td>196</td>\n      <td>3.162278</td>\n    </tr>\n    <tr>\n      <th>119</th>\n      <td>196</td>\n      <td>3.162278</td>\n    </tr>\n    <tr>\n      <th>290</th>\n      <td>196</td>\n      <td>3.316625</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>196</td>\n      <td>3.464102</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"Ao testar a última função, vemos que os 10 perfis (dentro dos 50 primeiros presentes no dataset *notas*) os que tiveram maior proximidade com o usuário 196, são os usuários 251 e 97.","metadata":{}},{"cell_type":"markdown","source":"---\n\nTendo conhecimento dos perfis mais próximos, agora é possível buscar novos filmes para o usuário.\n\nPrimeiro, criei uma nova função que possui os mesmos argumentos que a função **mais_proximos_de**, que, em resumo, retorna 5 recomendações de filmes, ao fazer uma seleção daqueles que tiveram as melhores notas nos perfis mais próximos.","metadata":{}},{"cell_type":"code","source":"def sugestoes(user1, quantidade_user_proximos = 10, numero_maximo_de_analise = None):\n    notas_user1 = historico_usuario(user1)\n    historico_filmes = notas_user1.index\n    similares = mais_proximos_de(user1, quantidade_user_proximos = quantidade_user_proximos, \n                                 numero_maximo_de_analise = numero_maximo_de_analise)\n    usuarios_similares = similares.index\n    notas_dos_similares = notas.set_index('user_id').loc[usuarios_similares]\n    recomendacoes = notas_dos_similares.groupby('item_id').mean()[['rating']]\n    recomendacoes = recomendacoes.sort_values('rating', ascending = False)\n    return recomendacoes.join(filmes).head()","metadata":{"execution":{"iopub.status.busy":"2023-04-14T17:15:49.098653Z","iopub.execute_input":"2023-04-14T17:15:49.099115Z","iopub.status.idle":"2023-04-14T17:15:49.107395Z","shell.execute_reply.started":"2023-04-14T17:15:49.099074Z","shell.execute_reply":"2023-04-14T17:15:49.105875Z"},"trusted":true},"execution_count":72,"outputs":[]},{"cell_type":"code","source":"sugestoes(196, quantidade_user_proximos = 2, numero_maximo_de_analise = 50)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T17:15:50.524406Z","iopub.execute_input":"2023-04-14T17:15:50.525576Z","iopub.status.idle":"2023-04-14T17:15:51.034563Z","shell.execute_reply.started":"2023-04-14T17:15:50.525531Z","shell.execute_reply":"2023-04-14T17:15:51.032889Z"},"trusted":true},"execution_count":73,"outputs":[{"execution_count":73,"output_type":"execute_result","data":{"text/plain":"         rating                                      movie_title release_date  \\\nitem_id                                                                         \n237         5.0                             Jerry Maguire (1996)  13-Dec-1996   \n612         5.0                              Lost Horizon (1937)  01-Jan-1937   \n115         5.0  Haunted World of Edward D. Wood Jr., The (1995)  26-Apr-1996   \n482         5.0                          Some Like It Hot (1959)  01-Jan-1959   \n480         5.0                        North by Northwest (1959)  01-Jan-1959   \n\n                                                  IMDb_URL  unknown  Action  \\\nitem_id                                                                       \n237      http://us.imdb.com/M/title-exact?Jerry%20Magui...        0       0   \n612      http://us.imdb.com/M/title-exact?Lost%20Horizo...        0       0   \n115      http://us.imdb.com/Title?Haunted+World+of+Edwa...        0       0   \n482      http://us.imdb.com/M/title-exact?Some%20Like%2...        0       0   \n480      http://us.imdb.com/M/title-exact?North%20by%20...        0       0   \n\n         Adventure  Animation  Children  Comedy  ...  Horror  Musical  \\\nitem_id                                          ...                    \n237              0          0         0       0  ...       0        0   \n612              0          0         0       0  ...       0        0   \n115              0          0         0       0  ...       0        0   \n482              0          0         0       1  ...       0        0   \n480              0          0         0       1  ...       0        0   \n\n         Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nitem_id                                                                    \n237            0        1      0         0    0        0             384   \n612            0        0      0         0    0        0              34   \n115            0        0      0         0    0        0              15   \n482            0        0      0         0    0        0             128   \n480            0        0      0         1    0        0             179   \n\n         nota_media  \nitem_id              \n237        3.710938  \n612        3.941176  \n115        3.733333  \n482        3.984375  \n480        4.284916  \n\n[5 rows x 25 columns]","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>rating</th>\n      <th>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>item_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>237</th>\n      <td>5.0</td>\n      <td>Jerry Maguire (1996)</td>\n      <td>13-Dec-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Jerry%20Magui...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>384</td>\n      <td>3.710938</td>\n    </tr>\n    <tr>\n      <th>612</th>\n      <td>5.0</td>\n      <td>Lost Horizon (1937)</td>\n      <td>01-Jan-1937</td>\n      <td>http://us.imdb.com/M/title-exact?Lost%20Horizo...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>34</td>\n      <td>3.941176</td>\n    </tr>\n    <tr>\n      <th>115</th>\n      <td>5.0</td>\n      <td>Haunted World of Edward D. Wood Jr., The (1995)</td>\n      <td>26-Apr-1996</td>\n      <td>http://us.imdb.com/Title?Haunted+World+of+Edwa...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>15</td>\n      <td>3.733333</td>\n    </tr>\n    <tr>\n      <th>482</th>\n      <td>5.0</td>\n      <td>Some Like It Hot (1959)</td>\n      <td>01-Jan-1959</td>\n      <td>http://us.imdb.com/M/title-exact?Some%20Like%2...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>128</td>\n      <td>3.984375</td>\n    </tr>\n    <tr>\n      <th>480</th>\n      <td>5.0</td>\n      <td>North by Northwest (1959)</td>\n      <td>01-Jan-1959</td>\n      <td>http://us.imdb.com/M/title-exact?North%20by%20...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>179</td>\n      <td>4.284916</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 25 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"As indicações (usando apenas 2 usuários) são:\n- Jerry Maguire: A Grande Virada;\n- Horizonte Perdido;\n- The Haunted World of Edward D. Wood Jr.;\n- Quanto Mais Quente Melhor;\n- Intriga Internacional.","metadata":{}},{"cell_type":"code","source":"sugestoes(196, numero_maximo_de_analise = 50)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:27:44.385126Z","iopub.execute_input":"2023-04-14T16:27:44.385612Z","iopub.status.idle":"2023-04-14T16:27:44.927114Z","shell.execute_reply.started":"2023-04-14T16:27:44.385574Z","shell.execute_reply":"2023-04-14T16:27:44.925848Z"},"trusted":true},"execution_count":46,"outputs":[{"execution_count":46,"output_type":"execute_result","data":{"text/plain":"         rating                                      movie_title release_date  \\\nitem_id                                                                         \n508         5.0               People vs. Larry Flynt, The (1996)  27-Dec-1996   \n531         5.0                                     Shine (1996)  22-Nov-1996   \n115         5.0  Haunted World of Edward D. Wood Jr., The (1995)  26-Apr-1996   \n272         5.0                         Good Will Hunting (1997)  01-Jan-1997   \n506         5.0                     Rebel Without a Cause (1955)  01-Jan-1955   \n\n                                                  IMDb_URL  unknown  Action  \\\nitem_id                                                                       \n508      http://us.imdb.com/M/title-exact?People%20vs.%...        0       0   \n531        http://us.imdb.com/M/title-exact?Shine%20(1996)        0       0   \n115      http://us.imdb.com/Title?Haunted+World+of+Edwa...        0       0   \n272      http://us.imdb.com/M/title-exact?imdb-title-11...        0       0   \n506      http://us.imdb.com/M/title-exact?Rebel%20Witho...        0       0   \n\n         Adventure  Animation  Children  Comedy  ...  Horror  Musical  \\\nitem_id                                          ...                    \n508              0          0         0       0  ...       0        0   \n531              0          0         0       0  ...       0        0   \n115              0          0         0       0  ...       0        0   \n272              0          0         0       0  ...       0        0   \n506              0          0         0       0  ...       0        0   \n\n         Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nitem_id                                                                    \n508            0        0      0         0    0        0             215   \n531            0        1      0         0    0        0             129   \n115            0        0      0         0    0        0              15   \n272            0        0      0         0    0        0             198   \n506            0        0      0         0    0        0              90   \n\n         nota_media  \nitem_id              \n508        3.595349  \n531        3.922481  \n115        3.733333  \n272        4.262626  \n506        3.855556  \n\n[5 rows x 25 columns]","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>rating</th>\n      <th>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>item_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>508</th>\n      <td>5.0</td>\n      <td>People vs. Larry Flynt, The (1996)</td>\n      <td>27-Dec-1996</td>\n      <td>http://us.imdb.com/M/title-exact?People%20vs.%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>215</td>\n      <td>3.595349</td>\n    </tr>\n    <tr>\n      <th>531</th>\n      <td>5.0</td>\n      <td>Shine (1996)</td>\n      <td>22-Nov-1996</td>\n      <td>http://us.imdb.com/M/title-exact?Shine%20(1996)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>129</td>\n      <td>3.922481</td>\n    </tr>\n    <tr>\n      <th>115</th>\n      <td>5.0</td>\n      <td>Haunted World of Edward D. Wood Jr., The (1995)</td>\n      <td>26-Apr-1996</td>\n      <td>http://us.imdb.com/Title?Haunted+World+of+Edwa...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>15</td>\n      <td>3.733333</td>\n    </tr>\n    <tr>\n      <th>272</th>\n      <td>5.0</td>\n      <td>Good Will Hunting (1997)</td>\n      <td>01-Jan-1997</td>\n      <td>http://us.imdb.com/M/title-exact?imdb-title-11...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>198</td>\n      <td>4.262626</td>\n    </tr>\n    <tr>\n      <th>506</th>\n      <td>5.0</td>\n      <td>Rebel Without a Cause (1955)</td>\n      <td>01-Jan-1955</td>\n      <td>http://us.imdb.com/M/title-exact?Rebel%20Witho...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>90</td>\n      <td>3.855556</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 25 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"Mas ao utilizar os perfis dos 10 usuários mais próximos, temos:\n- O Povo Contra Larry Flynt;\n- Shine - Brilhante;\n- The Haunted World of Edward D. Wood Jr.;\n- Gênio Indomável;\n- Juventude Transviada.","metadata":{}},{"cell_type":"code","source":"sugestoes(196)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:31:54.883359Z","iopub.execute_input":"2023-04-14T16:31:54.883913Z","iopub.status.idle":"2023-04-14T16:32:03.653176Z","shell.execute_reply.started":"2023-04-14T16:31:54.883873Z","shell.execute_reply":"2023-04-14T16:32:03.651916Z"},"trusted":true},"execution_count":47,"outputs":[{"execution_count":47,"output_type":"execute_result","data":{"text/plain":"         rating                   movie_title release_date  \\\nitem_id                                                      \n185         5.0                 Psycho (1960)  01-Jan-1960   \n135         5.0  2001: A Space Odyssey (1968)  01-Jan-1968   \n582         5.0             Piano, The (1993)  01-Jan-1993   \n583         5.0      Romeo Is Bleeding (1993)  01-Jan-1993   \n488         5.0           Sunset Blvd. (1950)  01-Jan-1950   \n\n                                                  IMDb_URL  unknown  Action  \\\nitem_id                                                                       \n185       http://us.imdb.com/M/title-exact?Psycho%20(1960)        0       0   \n135      http://us.imdb.com/M/title-exact?2001:%20A%20S...        0       0   \n582      http://us.imdb.com/M/title-exact?Piano,%20The%...        0       0   \n583      http://us.imdb.com/M/title-exact?Romeo%20Is%20...        0       0   \n488      http://us.imdb.com/M/title-exact?Sunset%20Boul...        0       0   \n\n         Adventure  Animation  Children  Comedy  ...  Horror  Musical  \\\nitem_id                                          ...                    \n185              0          0         0       0  ...       1        0   \n135              0          0         0       0  ...       0        0   \n582              0          0         0       0  ...       0        0   \n583              0          0         0       0  ...       0        0   \n488              0          0         0       0  ...       0        0   \n\n         Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nitem_id                                                                    \n185            0        1      0         1    0        0             239   \n135            1        0      1         1    0        0             259   \n582            0        1      0         0    0        0             168   \n583            0        0      0         1    0        0              37   \n488            0        0      0         0    0        0              65   \n\n         nota_media  \nitem_id              \n185        4.100418  \n135        3.969112  \n582        3.601190  \n583        3.000000  \n488        4.200000  \n\n[5 rows x 25 columns]","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>rating</th>\n      <th>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>item_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>185</th>\n      <td>5.0</td>\n      <td>Psycho (1960)</td>\n      <td>01-Jan-1960</td>\n      <td>http://us.imdb.com/M/title-exact?Psycho%20(1960)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>239</td>\n      <td>4.100418</td>\n    </tr>\n    <tr>\n      <th>135</th>\n      <td>5.0</td>\n      <td>2001: A Space Odyssey (1968)</td>\n      <td>01-Jan-1968</td>\n      <td>http://us.imdb.com/M/title-exact?2001:%20A%20S...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>259</td>\n      <td>3.969112</td>\n    </tr>\n    <tr>\n      <th>582</th>\n      <td>5.0</td>\n      <td>Piano, The (1993)</td>\n      <td>01-Jan-1993</td>\n      <td>http://us.imdb.com/M/title-exact?Piano,%20The%...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>168</td>\n      <td>3.601190</td>\n    </tr>\n    <tr>\n      <th>583</th>\n      <td>5.0</td>\n      <td>Romeo Is Bleeding (1993)</td>\n      <td>01-Jan-1993</td>\n      <td>http://us.imdb.com/M/title-exact?Romeo%20Is%20...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>37</td>\n      <td>3.000000</td>\n    </tr>\n    <tr>\n      <th>488</th>\n      <td>5.0</td>\n      <td>Sunset Blvd. (1950)</td>\n      <td>01-Jan-1950</td>\n      <td>http://us.imdb.com/M/title-exact?Sunset%20Boul...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>65</td>\n      <td>4.200000</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 25 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"E quando não definimos um número máximo de usuários para análise, temos:\n- Psicose;\n- 2001 - Uma Odisseia no Espaço;\n- O Piano;\n- O Sangue de Romeo;\n- Crepúsculo dos Deuses.","metadata":{}},{"cell_type":"markdown","source":"# Gerando recomendação para um novo usuário:","metadata":{}},{"cell_type":"markdown","source":"Agora, digamos que tenho um novo usuário e seus filmes são:\n\n![image.png](attachment:6ad2cac0-b670-4a12-8753-f56afde52d90.png)\n\nE para adicioná-lo ao nosso sistema, fiz uma função que irá atribuir um número de ID e registrar os filmes e as notas. Escolhi as notas deste novo usuário de forma randômica:\n\n![image.png](attachment:fd4e5eec-0fea-41dc-ba70-95d2a72912a3.png)","metadata":{},"attachments":{"6ad2cac0-b670-4a12-8753-f56afde52d90.png":{"image/png":"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"},"fd4e5eec-0fea-41dc-ba70-95d2a72912a3.png":{"image/png":"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"}}},{"cell_type":"code","source":"def novo_usuario(seus_filmes):\n    novo_usuario = notas['user_id'].max()+1\n    notas_do_usuario_novo = pd.DataFrame(seus_filmes, columns = ['item_id', 'rating'])\n    notas_do_usuario_novo['user_id'] = novo_usuario\n    return pd.concat([notas, notas_do_usuario_novo])","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:53:01.352787Z","iopub.execute_input":"2023-04-14T16:53:01.354012Z","iopub.status.idle":"2023-04-14T16:53:01.359735Z","shell.execute_reply.started":"2023-04-14T16:53:01.353968Z","shell.execute_reply":"2023-04-14T16:53:01.358454Z"},"trusted":true},"execution_count":58,"outputs":[]},{"cell_type":"code","source":"notas = novo_usuario([[723, 3], [1094, 3], [652, 1], [1522, 5], [1243, 2], [1456, 1], [1086, 5], [1034, 2], [703, 2], [90, 3], [217, 2]])\nnotas.tail(12)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:57:51.960963Z","iopub.execute_input":"2023-04-14T16:57:51.962418Z","iopub.status.idle":"2023-04-14T16:57:51.985376Z","shell.execute_reply.started":"2023-04-14T16:57:51.962364Z","shell.execute_reply":"2023-04-14T16:57:51.983864Z"},"trusted":true},"execution_count":64,"outputs":[{"execution_count":64,"output_type":"execute_result","data":{"text/plain":"       user_id  item_id  rating    timestamp\n99999       12      203       3  879959583.0\n0          944      723       3          NaN\n1          944     1094       3          NaN\n2          944      652       1          NaN\n3          944     1522       5          NaN\n4          944     1243       2          NaN\n5          944     1456       1          NaN\n6          944     1086       5          NaN\n7          944     1034       2          NaN\n8          944      703       2          NaN\n9          944       90       3          NaN\n10         944      217       2          NaN","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>user_id</th>\n      <th>item_id</th>\n      <th>rating</th>\n      <th>timestamp</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>99999</th>\n      <td>12</td>\n      <td>203</td>\n      <td>3</td>\n      <td>879959583.0</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>944</td>\n      <td>723</td>\n      <td>3</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>944</td>\n      <td>1094</td>\n      <td>3</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>944</td>\n      <td>652</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>944</td>\n      <td>1522</td>\n      <td>5</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>944</td>\n      <td>1243</td>\n      <td>2</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>944</td>\n      <td>1456</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>944</td>\n      <td>1086</td>\n      <td>5</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>944</td>\n      <td>1034</td>\n      <td>2</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>944</td>\n      <td>703</td>\n      <td>2</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>944</td>\n      <td>90</td>\n      <td>3</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>944</td>\n      <td>217</td>\n      <td>2</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Para o novo usuário temos as seguintes recomendações:\n\nsugestoes(944)","metadata":{"execution":{"iopub.status.busy":"2023-04-14T16:57:59.562448Z","iopub.execute_input":"2023-04-14T16:57:59.562924Z","iopub.status.idle":"2023-04-14T16:58:09.098582Z","shell.execute_reply.started":"2023-04-14T16:57:59.562885Z","shell.execute_reply":"2023-04-14T16:58:09.097279Z"},"trusted":true},"execution_count":65,"outputs":[{"execution_count":65,"output_type":"execute_result","data":{"text/plain":"         rating                       movie_title release_date  \\\nitem_id                                                          \n506         5.0      Rebel Without a Cause (1955)  01-Jan-1955   \n64          5.0  Shawshank Redemption, The (1994)  01-Jan-1994   \n475         5.0              Trainspotting (1996)  19-Jul-1996   \n156         5.0             Reservoir Dogs (1992)  01-Jan-1992   \n50          5.0                  Star Wars (1977)  01-Jan-1977   \n\n                                                  IMDb_URL  unknown  Action  \\\nitem_id                                                                       \n506      http://us.imdb.com/M/title-exact?Rebel%20Witho...        0       0   \n64       http://us.imdb.com/M/title-exact?Shawshank%20R...        0       0   \n475          http://us.imdb.com/Title?Trainspotting+(1996)        0       0   \n156      http://us.imdb.com/M/title-exact?Reservoir%20D...        0       0   \n50       http://us.imdb.com/M/title-exact?Star%20Wars%2...        0       1   \n\n         Adventure  Animation  Children  Comedy  ...  Horror  Musical  \\\nitem_id                                          ...                    \n506              0          0         0       0  ...       0        0   \n64               0          0         0       0  ...       0        0   \n475              0          0         0       0  ...       0        0   \n156              0          0         0       0  ...       0        0   \n50               1          0         0       0  ...       0        0   \n\n         Mystery  Romance  SciFi  Thriller  War  Western  Total_de_votos  \\\nitem_id                                                                    \n506            0        0      0         0    0        0              90   \n64             0        0      0         0    0        0             283   \n475            0        0      0         0    0        0             250   \n156            0        0      0         1    0        0             148   \n50             0        1      1         0    1        0             583   \n\n         nota_media  \nitem_id              \n506        3.855556  \n64         4.445230  \n475        3.884000  \n156        3.986486  \n50         4.358491  \n\n[5 rows x 25 columns]","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>rating</th>\n      <th>movie_title</th>\n      <th>release_date</th>\n      <th>IMDb_URL</th>\n      <th>unknown</th>\n      <th>Action</th>\n      <th>Adventure</th>\n      <th>Animation</th>\n      <th>Children</th>\n      <th>Comedy</th>\n      <th>...</th>\n      <th>Horror</th>\n      <th>Musical</th>\n      <th>Mystery</th>\n      <th>Romance</th>\n      <th>SciFi</th>\n      <th>Thriller</th>\n      <th>War</th>\n      <th>Western</th>\n      <th>Total_de_votos</th>\n      <th>nota_media</th>\n    </tr>\n    <tr>\n      <th>item_id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>506</th>\n      <td>5.0</td>\n      <td>Rebel Without a Cause (1955)</td>\n      <td>01-Jan-1955</td>\n      <td>http://us.imdb.com/M/title-exact?Rebel%20Witho...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>90</td>\n      <td>3.855556</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>5.0</td>\n      <td>Shawshank Redemption, The (1994)</td>\n      <td>01-Jan-1994</td>\n      <td>http://us.imdb.com/M/title-exact?Shawshank%20R...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>283</td>\n      <td>4.445230</td>\n    </tr>\n    <tr>\n      <th>475</th>\n      <td>5.0</td>\n      <td>Trainspotting (1996)</td>\n      <td>19-Jul-1996</td>\n      <td>http://us.imdb.com/Title?Trainspotting+(1996)</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>250</td>\n      <td>3.884000</td>\n    </tr>\n    <tr>\n      <th>156</th>\n      <td>5.0</td>\n      <td>Reservoir Dogs (1992)</td>\n      <td>01-Jan-1992</td>\n      <td>http://us.imdb.com/M/title-exact?Reservoir%20D...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>148</td>\n      <td>3.986486</td>\n    </tr>\n    <tr>\n      <th>50</th>\n      <td>5.0</td>\n      <td>Star Wars (1977)</td>\n      <td>01-Jan-1977</td>\n      <td>http://us.imdb.com/M/title-exact?Star%20Wars%2...</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>583</td>\n      <td>4.358491</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 25 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"- Juventude Transviada;\n- Um Sonho de Liberdade;\n- Trainspotting - Sem Limites;\n- Cães de Aluguel;\n- Star Wars: Episódio IV – Uma Nova Esperança.","metadata":{}}]}