ENI-Hotel/notebook_JL.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b5c4db02",
   "metadata": {},
   "source": [
    "# TP de Synthèse — Intelligence Artificielle avec Python\n",
    "\n",
    "**Objectif**\n",
    "Ce notebook guide pas à pas l'analyse exploratoire, le pré‑traitement, la modélisation et la génération du fichier de soumission pour le TP \"Hotel Reservations\" (prédire `booking_status` : `Canceled` vs `Not_canceled`).\n"
   ]
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "## Plan\n",
    "1. Imports et réglages\n",
    "2. Chargement des données\n",
    "3. EDA (statistiques, graphiques)\n",
    "4. Prétraitement (gestion des NaN, encodages, feature engineering)\n",
    "5. Baselines & splits\n",
    "6. Modèles à tester (LogisticRegression, RandomForest, XGBoost/LightGBM, SVM)\n",
    "7. Validation croisée stratifiée et recherche d'hyperparamètres\n",
    "8. Sélection du meilleur modèle et calibration\n",
    "9. Génération du fichier de soumission\n",
    "10. Pistes d'amélioration & considérations éthiques/légales"
   ],
   "id": "c5c0dc7d890468c1"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "# 1) Imports et réglages\n",
    "\n"
   ],
   "id": "a6d47a50b639b009"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-22T08:09:17.470810Z",
     "start_time": "2025-09-22T08:09:17.465695Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# Imports de base\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from collections import Counter\n",
    "\n",
    "# sklearn\n",
    "from sklearn.model_selection import train_test_split, StratifiedKFold, cross_val_score, RandomizedSearchCV\n",
    "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score, confusion_matrix, classification_report\n",
    "\n",
    "# modèles\n",
    "from sklearn.dummy import DummyClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "# xgboost est recommandé si tu l'as\n",
    "try:\n",
    "    import xgboost as xgb\n",
    "    has_xgb = True\n",
    "except Exception:\n",
    "    has_xgb = False\n",
    "\n",
    "# Optionnel : SMOTE pour class imbalance\n",
    "try:\n",
    "    from imblearn.over_sampling import SMOTE\n",
    "    from imblearn.pipeline import Pipeline as ImbPipeline\n",
    "    has_smote = True\n",
    "except Exception:\n",
    "    has_smote = False\n",
    "\n",
    "# affichage\n",
    "pd.set_option('display.max_columns', None)\n",
    "plt.rcParams['figure.figsize'] = (10,5)\n",
    "\n",
    "# seed\n",
    "RANDOM_STATE = 42"
   ],
   "id": "81bdd7e3350dfee2",
   "outputs": [],
   "execution_count": 16
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "# 2) Chargement des données",
   "id": "530bc415c3a244db"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-22T07:59:02.707777Z",
     "start_time": "2025-09-22T07:59:02.618050Z"
    }
   },
   "cell_type": "code",
   "source": [
    "train = pd.read_csv('data/Hotel Reservations.csv')\n",
    "test = pd.read_csv('data/Donnees_Test.csv')\n",
    "\n",
    "print('train shape', train.shape)\n",
    "print('test shape', test.shape)\n",
    "\n",
    "train.head()"
   ],
   "id": "48344994ad9ef772",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train shape (29999, 19)\n",
      "test shape (6276, 18)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "  Booking_ID  no_of_adults  no_of_children  no_of_weekend_nights  \\\n",
       "0   INN00001             2               0                     1   \n",
       "1   INN00002             2               0                     2   \n",
       "2   INN00003             1               0                     2   \n",
       "3   INN00004             2               0                     0   \n",
       "4   INN00005             2               0                     1   \n",
       "\n",
       "   no_of_week_nights type_of_meal_plan  required_car_parking_space  \\\n",
       "0                  2       Meal Plan 1                           0   \n",
       "1                  3      Not Selected                           0   \n",
       "2                  1       Meal Plan 1                           0   \n",
       "3                  2       Meal Plan 1                           0   \n",
       "4                  1      Not Selected                           0   \n",
       "\n",
       "  room_type_reserved  lead_time  arrival_year  arrival_month  arrival_date  \\\n",
       "0        Room_Type 1        224          2017             10             2   \n",
       "1        Room_Type 1          5          2018             11             6   \n",
       "2        Room_Type 1          1          2018              2            28   \n",
       "3        Room_Type 1        211          2018              5            20   \n",
       "4        Room_Type 1         48          2018              4            11   \n",
       "\n",
       "  market_segment_type  repeated_guest  no_of_previous_cancellations  \\\n",
       "0             Offline               0                             0   \n",
       "1              Online               0                             0   \n",
       "2              Online               0                             0   \n",
       "3              Online               0                             0   \n",
       "4              Online               0                             0   \n",
       "\n",
       "   no_of_previous_bookings_not_canceled  avg_price_per_room  \\\n",
       "0                                     0               65.00   \n",
       "1                                     0              106.68   \n",
       "2                                     0               60.00   \n",
       "3                                     0              100.00   \n",
       "4                                     0               94.50   \n",
       "\n",
       "   no_of_special_requests booking_status  \n",
       "0                       0   Not_Canceled  \n",
       "1                       1   Not_Canceled  \n",
       "2                       0       Canceled  \n",
       "3                       0       Canceled  \n",
       "4                       0       Canceled  "
      ],
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Booking_ID</th>\n",
       "      <th>no_of_adults</th>\n",
       "      <th>no_of_children</th>\n",
       "      <th>no_of_weekend_nights</th>\n",
       "      <th>no_of_week_nights</th>\n",
       "      <th>type_of_meal_plan</th>\n",
       "      <th>required_car_parking_space</th>\n",
       "      <th>room_type_reserved</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_year</th>\n",
       "      <th>arrival_month</th>\n",
       "      <th>arrival_date</th>\n",
       "      <th>market_segment_type</th>\n",
       "      <th>repeated_guest</th>\n",
       "      <th>no_of_previous_cancellations</th>\n",
       "      <th>no_of_previous_bookings_not_canceled</th>\n",
       "      <th>avg_price_per_room</th>\n",
       "      <th>no_of_special_requests</th>\n",
       "      <th>booking_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>INN00001</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Meal Plan 1</td>\n",
       "      <td>0</td>\n",
       "      <td>Room_Type 1</td>\n",
       "      <td>224</td>\n",
       "      <td>2017</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>Offline</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>65.00</td>\n",
       "      <td>0</td>\n",
       "      <td>Not_Canceled</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>INN00002</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Not Selected</td>\n",
       "      <td>0</td>\n",
       "      <td>Room_Type 1</td>\n",
       "      <td>5</td>\n",
       "      <td>2018</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>Online</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>106.68</td>\n",
       "      <td>1</td>\n",
       "      <td>Not_Canceled</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>INN00003</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Meal Plan 1</td>\n",
       "      <td>0</td>\n",
       "      <td>Room_Type 1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>Online</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60.00</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>INN00004</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Meal Plan 1</td>\n",
       "      <td>0</td>\n",
       "      <td>Room_Type 1</td>\n",
       "      <td>211</td>\n",
       "      <td>2018</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>Online</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>INN00005</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Not Selected</td>\n",
       "      <td>0</td>\n",
       "      <td>Room_Type 1</td>\n",
       "      <td>48</td>\n",
       "      <td>2018</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>Online</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>94.50</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "Vérifie que les colonnes correspondent et que `booking_status` est présente dans `train` et absente dans `test`.\n",
    "\n",
    "# 3) EDA (exploration)"
   ],
   "id": "d9b859fc6130089a"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-22T07:59:59.538630Z",
     "start_time": "2025-09-22T07:59:59.497736Z"
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   },
   "cell_type": "code",
   "source": [
    "# Nombre d'attributs, lignes, classes\n",
    "print('n_attributs:', train.shape[1])\n",
    "print('n_lignes:', train.shape[0])\n",
    "print('\\nclasses distribution:')\n",
    "print(train['booking_status'].value_counts())\n",
    "print(train['booking_status'].value_counts(normalize=True))\n",
    "\n",
    "# Valeurs manquantes\n",
    "missing = train.isna().sum().sort_values(ascending=False)\n",
    "print('\\nMissing values (train):')\n",
    "print(missing[missing>0])\n",
    "\n",
    "# Statistiques numériques\n",
    "train.describe().T"
   ],
   "id": "9fc1b3bc98b7a22b",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "n_attributs: 19\n",
      "n_lignes: 29999\n",
      "\n",
      "classes distribution:\n",
      "booking_status\n",
      "Not_Canceled    20184\n",
      "Canceled         9815\n",
      "Name: count, dtype: int64\n",
      "booking_status\n",
      "Not_Canceled    0.672822\n",
      "Canceled        0.327178\n",
      "Name: proportion, dtype: float64\n",
      "\n",
      "Missing values (train):\n",
      "Series([], dtype: int64)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "                                        count         mean        std     min  \\\n",
       "no_of_adults                          29999.0     1.845862   0.518453     0.0   \n",
       "no_of_children                        29999.0     0.105037   0.403747     0.0   \n",
       "no_of_weekend_nights                  29999.0     0.806127   0.868561     0.0   \n",
       "no_of_week_nights                     29999.0     2.202140   1.402214     0.0   \n",
       "required_car_parking_space            29999.0     0.031301   0.174133     0.0   \n",
       "lead_time                             29999.0    85.503217  86.072456     0.0   \n",
       "arrival_year                          29999.0  2017.821894   0.382608  2017.0   \n",
       "arrival_month                         29999.0     7.428548   3.064046     1.0   \n",
       "arrival_date                          29999.0    15.583819   8.723316     1.0   \n",
       "repeated_guest                        29999.0     0.025668   0.158144     0.0   \n",
       "no_of_previous_cancellations          29999.0     0.022701   0.353166     0.0   \n",
       "no_of_previous_bookings_not_canceled  29999.0     0.155139   1.771725     0.0   \n",
       "avg_price_per_room                    29999.0   103.412309  35.043692     0.0   \n",
       "no_of_special_requests                29999.0     0.620687   0.787359     0.0   \n",
       "\n",
       "                                         25%      50%     75%     max  \n",
       "no_of_adults                             2.0     2.00     2.0     4.0  \n",
       "no_of_children                           0.0     0.00     0.0    10.0  \n",
       "no_of_weekend_nights                     0.0     1.00     2.0     7.0  \n",
       "no_of_week_nights                        1.0     2.00     3.0    17.0  \n",
       "required_car_parking_space               0.0     0.00     0.0     1.0  \n",
       "lead_time                               17.0    57.00   127.0   443.0  \n",
       "arrival_year                          2018.0  2018.00  2018.0  2018.0  \n",
       "arrival_month                            5.0     8.00    10.0    12.0  \n",
       "arrival_date                             8.0    16.00    23.0    31.0  \n",
       "repeated_guest                           0.0     0.00     0.0     1.0  \n",
       "no_of_previous_cancellations             0.0     0.00     0.0    13.0  \n",
       "no_of_previous_bookings_not_canceled     0.0     0.00     0.0    58.0  \n",
       "avg_price_per_room                      80.5    99.45   120.0   375.5  \n",
       "no_of_special_requests                   0.0     0.00     1.0     5.0  "
      ],
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       "      <th>no_of_adults</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>1.845862</td>\n",
       "      <td>0.518453</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>no_of_children</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>0.105037</td>\n",
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       "      <td>10.0</td>\n",
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       "    <tr>\n",
       "      <th>no_of_weekend_nights</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>0.806127</td>\n",
       "      <td>0.868561</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_of_week_nights</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>2.202140</td>\n",
       "      <td>1.402214</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>required_car_parking_space</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>0.031301</td>\n",
       "      <td>0.174133</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lead_time</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>85.503217</td>\n",
       "      <td>86.072456</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>57.00</td>\n",
       "      <td>127.0</td>\n",
       "      <td>443.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arrival_year</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>2017.821894</td>\n",
       "      <td>0.382608</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>2018.00</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>2018.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arrival_month</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>7.428548</td>\n",
       "      <td>3.064046</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arrival_date</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>15.583819</td>\n",
       "      <td>8.723316</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.00</td>\n",
       "      <td>23.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repeated_guest</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>0.025668</td>\n",
       "      <td>0.158144</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_of_previous_cancellations</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>0.022701</td>\n",
       "      <td>0.353166</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_of_previous_bookings_not_canceled</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>0.155139</td>\n",
       "      <td>1.771725</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>avg_price_per_room</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>103.412309</td>\n",
       "      <td>35.043692</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.5</td>\n",
       "      <td>99.45</td>\n",
       "      <td>120.0</td>\n",
       "      <td>375.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_of_special_requests</th>\n",
       "      <td>29999.0</td>\n",
       "      <td>0.620687</td>\n",
       "      <td>0.787359</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Graphiques utiles :",
   "id": "8475569fb5c27e45"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-22T08:01:51.436875Z",
     "start_time": "2025-09-22T08:01:49.690007Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# histogrammes pour colonnes numériques importantes\n",
    "num_cols = ['no_of_adults','no_of_children','no_of_weekend_nights','no_of_week_nights','lead_time','avg_price_per_room','no_of_special_requests']\n",
    "for c in num_cols:\n",
    "    train[c].hist(bins=30)\n",
    "    plt.title(c)\n",
    "    plt.show()\n",
    "\n",
    "# boxplots par booking_status\n",
    "import seaborn as sns\n",
    "for c in ['lead_time','avg_price_per_room','no_of_previous_cancellations']:\n",
    "    sns.boxplot(x='booking_status', y=c, data=train)\n",
    "    plt.title(c + ' by booking_status')\n",
    "    plt.show()\n",
    "\n",
    "# heatmap corrélations numériques\n",
    "plt.figure(figsize=(10,8))\n",
    "num = train.select_dtypes(include=[np.number])\n",
    "sns.heatmap(num.corr(), annot=True, fmt='.2f')\n",
    "plt.title('Corrélations')\n",
    "plt.show()"
   ],
   "id": "dc8b52893fc39bdf",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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YIwehc889t65NmtlKYSmFr0svvTQvE7zyyivrSpgn3/zmN+O1117L949KISyVQ09l1pcuLAEAAFCTAJWW8K1ICkzpZrsrk6r0rawqXAppU6ZMWWGbtJwwbQAAAJ+Gqq6BAgAA+CwToAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAACgkQAEAABQSoAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAACgkQAEAABQSoAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAA0BQBavTo0fHFL34x1lprrVh//fVj0KBB8fzzzzdo8/7778eJJ54YXbp0iTXXXDMOOeSQmD17doM2M2fOjAMOOCA6duyYzzNs2LD48MMPG7S5//77Y6eddor27dvHZpttFtdee+0y/Rk7dmxssskm0aFDh+jTp09MmjSpmo8DAADQdAHqgQceyOHosccei3vuuScWLlwYAwYMiHnz5tW1OfXUU+MPf/hD3HTTTbn9q6++GgcffHDd8UWLFuXw9MEHH8Sjjz4a1113XQ5HZ599dl2bGTNm5DZ77bVXTJ06NU455ZQ47rjj4q677qprc8MNN8TQoUPjnHPOiSeffDK23377GDhwYMyZM6e67wAAAEChNlGFO++8s8HzFHzSDNLkyZNjzz33jLfffjuuuuqqGD9+fOy99965zTXXXBO9evXKoetLX/pS3H333fHss8/GH//4x+jatWvssMMOMWrUqPjhD38YI0aMiHbt2sW4ceOiZ8+ecdFFF+VzpNc//PDDcfHFF+eQlIwZMyaGDBkSRx99dH6eXnP77bfH1VdfHaeffno1HwsAAKDxA9TSUmBK1l133fyYglSalerfv39dmy233DI22mijmDhxYg5Q6XHbbbfN4akihaLvfOc78cwzz8SOO+6Y29Q/R6VNmolK0uxVeq/hw4fXHW/dunV+TXrtR1mwYEHeKubOnZsfU5/TVkuV92/fekmTnp9VR+Vn6mdLKWOGahkzVMN4oaWPmdJ+fOwAtXjx4hxodtttt9hmm23yvlmzZuUZpLXXXrtB2xSW0rFKm/rhqXK8cmxFbVLgee+99+LNN9/MSwGX12b69OkrvIZr5MiRy+xPs2LpeqzmYFTvxU1y3jvuuKNJzkvtpeW0UA1jhmoZM1TDeKGljpn58+c3bYBK10JNmzYtL61rKdKMVbpuqiIFsh49euTruDp16lTzxJsGz1lPtI4Fi1s1+vmnjfi/pY+sOipjZt999422bdvWuju0AMYM1TJmqIbxQksfM5XVaU0SoE466aS47bbb4sEHH4wNN9ywbn+3bt3y8rq33nqrwSxUqsKXjlXaLF0tr1Klr36bpSv3pecp5Ky++uqx2mqr5W15bSrnWJ5U0S9tS0s/sObwQ0tSeFqwqPEDVHP5fDS+5jR+aRmMGaplzFAN44WWOmZK+1BVFb4lS5bk8HTzzTfHvffemws91LfzzjvnN54wYULdvlTmPJUt79u3b36eHp9++ukG1fJS8kzhaKuttqprU/8clTaVc6Rlgum96rdJSwrT80obAACAxtam2mV7qcLerbfemu8FVblmqXPnznlmKD0ee+yxeZlcKiyRQtF3v/vdHGpSAYkkLZdLQenII4+MCy64IJ/jzDPPzOeuzA6dcMIJcfnll8dpp50WxxxzTA5rN954Y66yV5HeY/DgwdG7d+/YZZdd4pJLLsnl1CtV+QAAAGoaoH72s5/lx379+jXYn0qVH3XUUfnrVGo8VcRLN9BNFe9S9byf/vSndW3T0ru0/C9V3UvBao011shB6Nxzz61rk2a2UlhK95S69NJL8zLBK6+8sq6EefLNb34zXnvttXz/qBTCUjn0VGZ96cISAAAANQlQaQnfynTo0CHGjh2bt4+y8cYbr7QqXAppU6ZMWWGbtJwwbQAAAJ+Gqq6BAgAA+CwToAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAACgkQAEAABQSoAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAACgkQAEAABQSoAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAA0FQB6sEHH4wDDzwwunfvHq1atYpbbrmlwfGjjjoq76+/feUrX2nQ5o033ogjjjgiOnXqFGuvvXYce+yx8e677zZo8+c//zn22GOP6NChQ/To0SMuuOCCZfpy0003xZZbbpnbbLvttnHHHXdU+3EAAACaLkDNmzcvtt9++xg7duxHtkmB6R//+Efd9l//9V8Njqfw9Mwzz8Q999wTt912Ww5lxx9/fN3xuXPnxoABA2LjjTeOyZMnx4UXXhgjRoyIK664oq7No48+GocddlgOX1OmTIlBgwblbdq0adV+JAAAgCJtokr77bdf3lakffv20a1bt+Uee+655+LOO++MP/3pT9G7d++877LLLov9998/fvzjH+eZreuvvz4++OCDuPrqq6Ndu3ax9dZbx9SpU2PMmDF1QevSSy/NQW3YsGH5+ahRo3Igu/zyy2PcuHHVfiwAAIDGD1Al7r///lh//fVjnXXWib333jvOO++86NKlSz42ceLEvGyvEp6S/v37R+vWrePxxx+Pgw46KLfZc889c3iqGDhwYJx//vnx5ptv5vOmNkOHDm3wvqnN0ksK61uwYEHe6s90JQsXLsxbLVXev33rJU16flYdlZ+pny2ljBmqZcxQDeOFlj5mSvvR6AEqzQodfPDB0bNnz3jppZfijDPOyDNWKfCsttpqMWvWrByuGnSiTZtYd91187EkPabX19e1a9e6YylApcfKvvptKudYntGjR8fIkSOX2X/33XdHx44dozkY1Xtxk5zX9WGrrjTzCtUwZqiWMUM1jBda6piZP39+bQLUoYceWvd1Kuyw3XbbxaabbppnpfbZZ5+opeHDhzeYtUozUKlARbreKhW0qHXiTYPnrCdax4LFrRr9/NNGDGz0cxLNYszsu+++0bZt21p3hxbAmKFaxgzVMF5o6WOmsjqtJkv46vv85z8f6623Xrz44os5QKVro+bMmdOgzYcffpgr81Wum0qPs2fPbtCm8nxlbT7q2qvKtVlpW1r6gTWHH1qSwtOCRY0foJrL56PxNafxS8tgzFAtY4ZqGC+01DFT2ocmvw/U3/72t3j99ddjgw02yM/79u0bb731Vq6uV3HvvffG4sWLo0+fPnVtUmW++usQUzrdYost8vK9SpsJEyY0eK/UJu0HAABoClUHqHS/plQRL23JjBkz8tczZ87Mx1JVvMceeyxeeeWVHHC+9rWvxWabbZYLPCS9evXK10kNGTIkJk2aFI888kicdNJJeelfqsCXHH744bmARCpRnsqd33DDDbnqXv3ldyeffHKu5nfRRRfF9OnTc5nzJ554Ip8LAACgWQSoFFJ23HHHvCUp1KSvzz777FwkIt0A96tf/WpsvvnmOQDtvPPO8dBDDzVYOpfKlKcb4KYlfal8+e67797gHk+dO3fOhR1SOEuv//73v5/PX/9eUbvuumuMHz8+vy7dl+q3v/1trsC3zTbbfPLvCgAAQGNcA9WvX79YsuSjS23fddddKz1HqriXws+KpOITKXityNe//vW8AQAAfBqa/BooAACAVYUABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAACgkQAEAABQSoAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAACgkQAEAABQSoAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACApgpQDz74YBx44IHRvXv3aNWqVdxyyy0Nji9ZsiTOPvvs2GCDDWL11VeP/v37xwsvvNCgzRtvvBFHHHFEdOrUKdZee+049thj4913323Q5s9//nPsscce0aFDh+jRo0dccMEFy/Tlpptuii233DK32XbbbeOOO+6o9uMAAAA0XYCaN29ebL/99jF27NjlHk9B5yc/+UmMGzcuHn/88VhjjTVi4MCB8f7779e1SeHpmWeeiXvuuSduu+22HMqOP/74uuNz586NAQMGxMYbbxyTJ0+OCy+8MEaMGBFXXHFFXZtHH300DjvssBy+pkyZEoMGDcrbtGnTqv1IAAAARdpElfbbb7+8LU+afbrkkkvizDPPjK997Wt53y9/+cvo2rVrnqk69NBD47nnnos777wz/vSnP0Xv3r1zm8suuyz233//+PGPf5xntq6//vr44IMP4uqrr4527drF1ltvHVOnTo0xY8bUBa1LL700vvKVr8SwYcPy81GjRuVAdvnll+fwBgAAUPMAtSIzZsyIWbNm5WV7FZ07d44+ffrExIkTc4BKj2nZXiU8Jal969at84zVQQcdlNvsueeeOTxVpFms888/P958881YZ511cpuhQ4c2eP/UZuklhfUtWLAgb/VnupKFCxfmrZYq79++9ZImPT+rjsrP1M+WUsYM1TJmqIbxQksfM6X9aNQAlcJTkmac6kvPK8fS4/rrr9+wE23axLrrrtugTc+ePZc5R+VYClDpcUXvszyjR4+OkSNHLrP/7rvvjo4dO0ZzMKr34iY5r+vDVl1p5hWqYcxQLWOGahgvtNQxM3/+/E8/QDV3w4cPbzBrlWagUoGKdL1VKmhR68SbBs9ZT7SOBYtbNfr5p40Y2OjnJJrFmNl3332jbdu2te4OLYAxQ7WMGaphvNDSx0xlddqnGqC6deuWH2fPnp2r8FWk5zvssENdmzlz5jR43Ycffpgr81Venx7Ta+qrPF9Zm8rx5Wnfvn3elpZ+YM3hh5ak8LRgUeMHqOby+Wh8zWn80jIYM1TLmKEaxgstdcyU9qFR7wOVlt2lADNhwoQGSS5d29S3b9/8PD2+9dZbubpexb333huLFy/O10pV2qTKfPXXIaZ0usUWW+Tle5U29d+n0qbyPgAAAI2t6gCV7teUKuKlrVI4In09c+bMfF+oU045Jc4777z4/e9/H08//XR8+9vfzpX1UonxpFevXrl63pAhQ2LSpEnxyCOPxEknnZQLTKR2yeGHH54LSKQS5anc+Q033JCr7tVffnfyySfnan4XXXRRTJ8+PZc5f+KJJ/K5AAAAmkLVS/hSSNlrr73qnldCzeDBg+Paa6+N0047Ld8rKpUbTzNNu+++ew466Wa3FalMeQo6++yzT66+d8ghh+R7R9Wv3JcKO5x44omx8847x3rrrZdvzlv/XlG77rprjB8/PpdMP+OMM+ILX/hCrsC3zTbbfJLvBwAAQOMFqH79+uX7PX2UNAt17rnn5u2jpIp7KfysyHbbbRcPPfTQCtt8/etfzxsAAMCnoVGvgQIAAFiVCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAACgkQAEAABQSoAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAACgkQAEAABQSoAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAAKhVgBoxYkS0atWqwbblllvWHX///ffjxBNPjC5dusSaa64ZhxxySMyePbvBOWbOnBkHHHBAdOzYMdZff/0YNmxYfPjhhw3a3H///bHTTjtF+/btY7PNNotrr722sT8KAABA089Abb311vGPf/yjbnv44Yfrjp166qnxhz/8IW666aZ44IEH4tVXX42DDz647viiRYtyePrggw/i0Ucfjeuuuy6Ho7PPPruuzYwZM3KbvfbaK6ZOnRqnnHJKHHfccXHXXXc1xccBAADI2kQTaNOmTXTr1m2Z/W+//XZcddVVMX78+Nh7773zvmuuuSZ69eoVjz32WHzpS1+Ku+++O5599tn44x//GF27do0ddtghRo0aFT/84Q/z7Fa7du1i3Lhx0bNnz7jooovyOdLrU0i7+OKLY+DAgU3xkQAAAJomQL3wwgvRvXv36NChQ/Tt2zdGjx4dG220UUyePDkWLlwY/fv3r2ublvelYxMnTswBKj1uu+22OTxVpFD0ne98J5555pnYcccdc5v656i0STNRK7JgwYK8VcydOzc/pj6lrZYq79++9ZImPT+rjsrP1M+WUsYM1TJmqIbxQksfM6X9aPQA1adPn7zkbosttsjL90aOHBl77LFHTJs2LWbNmpVnkNZee+0Gr0lhKR1L0mP98FQ5Xjm2ojYpEL333nux+uqrL7dvKcil/iwtzXql662ag1G9FzfJee+4444mOS+1d88999S6C7QwxgzVMmaohvFCSx0z8+fPr02A2m+//eq+3m677XKg2njjjePGG2/8yGDzaRk+fHgMHTq07nkKXD169IgBAwZEp06dap540+A564nWsWBxq0Y//7QRljauaipjZt999422bdvWuju0AMYM1TJmqIbxQksfM5XVaTVZwldfmm3afPPN48UXX8zfnFQc4q233mowC5Wq8FWumUqPkyZNanCOSpW++m2WrtyXnqcQtKKQlir2pW1p6QfWHH5oSQpPCxY1foBqLp+Pxtecxi8tgzFDtYwZqmG80FLHTGkfmvw+UO+++2689NJLscEGG8TOO++cOzZhwoS6488//3wuW56ulUrS49NPPx1z5sypa5OSaQpHW221VV2b+ueotKmcAwAAoCk0eoD6wQ9+kMuTv/LKK7kM+UEHHRSrrbZaHHbYYdG5c+c49thj8zK6++67LxeVOProo3PwSQUkkrScLgWlI488Mp566qlcmvzMM8/M946qzB6dcMIJ8fLLL8dpp50W06dPj5/+9Kd5iWAqkQ4AANBUGn0J39/+9rccll5//fX43Oc+F7vvvnsuUZ6+TlKp8datW+cb6KaKeKl6XgpAFSls3XbbbbnqXgpWa6yxRgwePDjOPffcujaphPntt9+eA9Oll14aG264YVx55ZVKmAMAAC0rQP3mN79Z4fFU2nzs2LF5+yip6MTKqsb169cvpkyZ8rH7CQAAUK0mvwYKAABgVSFAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAACgkQAEAABQSoAAAAAoJUAAAAIUEKAAAgEICFAAAQCEBCgAAoJAABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACFBCgAAIBCAhQAAEAhAQoAAKCQAAUAAFBIgAIAACgkQAEAABRqU9oQamWT029v0vO/8p8HNOn5AQBYdZiBAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQqrwQQu3zYi7YsGiVo1+XtUJAQCWZQYKAACgkAAFAABQSIACAAAoJEABAAAUEqAAAAAKCVAAAACflQA1duzY2GSTTaJDhw7Rp0+fmDRpUq27BAAArKJadIC64YYbYujQoXHOOefEk08+Gdtvv30MHDgw5syZU+uuAQAAq6AWHaDGjBkTQ4YMiaOPPjq22mqrGDduXHTs2DGuvvrqWncNAABYBbWJFuqDDz6IyZMnx/Dhw+v2tW7dOvr37x8TJ05c7msWLFiQt4q33347P77xxhuxcOHCqKX0/vPnz482C1vHosWtGv38r7/+erRUbT6c16Tnb6nfG2OGjztm0s+2bdu2te4OLYAxQzWMF1r6mHnnnXfy45IlS1bNAPXPf/4zFi1aFF27dm2wPz2fPn36cl8zevToGDly5DL7e/bsGau69S6qdQ+aL9+b5fN9AQA+i955553o3LnzqhegPo40W5WumapYvHhxnn3q0qVLtGrV+H/Br8bcuXOjR48e8de//jU6depU077QMhgzVMuYoVrGDNUwXmjpYybNPKXw1L179xW2a7EBar311ovVVlstZs+e3WB/et6tW7flvqZ9+/Z5q2/ttdeO5iQNnuYwgGg5jBmqZcxQLWOGahgvtOQxs6KZpxZfRKJdu3ax8847x4QJExrMKKXnffv2rWnfAACAVVOLnYFK0nK8wYMHR+/evWOXXXaJSy65JObNm5er8gEAADS2Fh2gvvnNb8Zrr70WZ599dsyaNSt22GGHuPPOO5cpLNESpKWF6X5WSy8xhI9izFAtY4ZqGTNUw3jhszJmWi1ZWZ0+AAAAWvY1UAAAAJ82AQoAAKCQAAUAAFBIgAIAACgkQDUDY8eOjU022SQ6dOgQffr0iUmTJtW6SzRTo0ePji9+8Yux1lprxfrrrx+DBg2K559/vtbdogX5z//8z2jVqlWccsopte4Kzdjf//73+Na3vhVdunSJ1VdfPbbddtt44oknat0tmqlFixbFWWedFT179szjZdNNN41Ro0aFOmVUPPjgg3HggQdG9+7d8/9Bt9xyS9SXxkqqqr3BBhvkMdS/f/944YUXorkSoGrshhtuyPezSiUcn3zyydh+++1j4MCBMWfOnFp3jWbogQceiBNPPDEee+yxuOeee2LhwoUxYMCAfP8zWJk//elP8fOf/zy22267WneFZuzNN9+M3XbbLdq2bRv/8z//E88++2xcdNFFsc4669S6azRT559/fvzsZz+Lyy+/PJ577rn8/IILLojLLrus1l2jmZg3b17+HTdNGixPGi8/+clPYty4cfH444/HGmuskX8ffv/996M5Usa8xtKMU5pRSP/oJIsXL44ePXrEd7/73Tj99NNr3T2auXQftDQTlYLVnnvuWevu0Iy9++67sdNOO8VPf/rTOO+88/J989LNx2Fp6f+eRx55JB566KFad4UW4l//9V/zPTivuuqqun2HHHJInkn49a9/XdO+0fy0atUqbr755ryKJklRJM1Mff/7348f/OAHed/bb7+dx9S1114bhx56aDQ3ZqBq6IMPPojJkyfnacqK1q1b5+cTJ06sad9oGdI/MMm6665b667QzKWZywMOOKDBvzewPL///e+jd+/e8fWvfz3/gWbHHXeMX/ziF7XuFs3YrrvuGhMmTIi//OUv+flTTz0VDz/8cOy333617hotwIwZM2LWrFkN/n/q3LlznmRorr8Pt6l1Bz7L/vnPf+Z1wylh15eeT58+vWb9omVIs5XpOpa01GabbbapdXdoxn7zm9/kJcJpCR+szMsvv5yXY6Xl5WeccUYeN9/73veiXbt2MXjw4Fp3j2Y6azl37tzYcsstY7XVVsu/2/zoRz+KI444otZdowWYNWtWflze78OVY82NAAUteEZh2rRp+a988FH++te/xsknn5yvmUuFaqDkjzNpBuo//uM/8vM0A5X+rUnXJghQLM+NN94Y119/fYwfPz623nrrmDp1av4DX1qWZcywKrKEr4bWW2+9/Jea2bNnN9ifnnfr1q1m/aL5O+mkk+K2226L++67LzbccMNad4dmLC0TTkVp0vVPbdq0yVu6Zi5drJu+Tn8phvpSFaytttqqwb5evXrFzJkza9Ynmrdhw4blWah0rUqq2HjkkUfGqaeemivHwspUfudtSb8PC1A1lJZD7LzzznndcP2//KXnffv2rWnfaJ7ShZYpPKWLL++9995cMhZWZJ999omnn346/0W4sqXZhbS0Jn2d/ogD9aVlwUvfHiFd27LxxhvXrE80b/Pnz8/XcNeX/m1Jv9PAyqTfZVJQqv/7cFoSmqrxNdffhy3hq7G0xjxNb6dfaHbZZZdcFSuVejz66KNr3TWa6bK9tETi1ltvzfeCqqwNThdbpmpHsLQ0Tpa+Ri6Vh03393HtHMuTZg5SUYC0hO8b3/hGvjfhFVdckTdYnnR/n3TN00YbbZSX8E2ZMiXGjBkTxxxzTK27RjOqBPviiy82KByR/oiXimClcZOWfKYKsV/4whdyoEr3FUtLQCuV+pobZcybgVTC/MILL8y/DKfSwmlpTao8Assr/bk811xzTRx11FGfen9omfr166eMOSuUlggPHz4838gy/TKT/tg3ZMiQWneLZuqdd97Jv/Cm1RFpyXD6xfewww7LN0ZNq23g/vvvj7322muZ/WkSIZUqT3Ek3RM1/aHmrbfeit133z3fdmPzzTeP5kiAAgAAKOQaKAAAgEICFAAAQCEBCgAAoJAABQAAUEiAAgAAKCRAAQAAFBKgAAAACglQAAAAhQQoAACAQgIUAABAIQEKAACgkAAFAAAQZf4/pdcJXoU9oRMAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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rTuqqOVENnJahTvaZvTgQre+Jn7IiKqmIOvqr9lK1YF7mvbT4y6KT3T/++CPZ90C1SkreoGnKxHbppZcG9720bN682TWB9H/XxFuP3rvK4j+p9+/v+q/lhTYDjDRfaO2OAnW9RtkQ/a87FlqXtoe/KasSUmSGjhWqaVYNzcaNG9021gUHb59LaV9T4gbV6Kh5pJo0KnGG9tXQ5nielJaR0eOImg6rbEocomaYav6pIA9AZARKQC6mH2Yvq1IoXd0U/eCn9yquMiopc1Ro0x+dSOrkTCfbOhGOhhkzZrggwaPMVcowpT5FadGVdF1pVZpnP/Vj8Z9s6ORHJ2q6yq/UwWk1u/O2qcrkNdkTnWy+9NJL7uRSV/lDAwQFPh6VTfOFUt8ulc0fNCn4TG+zGQWyqsFQ7YVO5FKq5dDn6K8NUtOnSLVc6aF9Qk2tlN3NH6h469EVbW0LZSiLdGU7Urrx9NQohL4P7R+hn4d4za7SEwRG63sSSgF7KNWaKThI72eq/SS0r4myp2k/8X8P1GxNJ9nKyKYmmDfccEO6y6jlKdNcaAZGDWt/0ufmbRtl0gvNdKjXab/Re1KTL28+7UeqIQqlTHAqX6TvrwJH9W1SZkHV8Ko2NRoUPGvbKWOdR4Gemvod6+eoGjt9x7X/eZ+P13zRv69F2lfV3E4Bl5+WEWlfjXQc0fHGn55dTQ/9321lHhSa3wEpIz04kIupBkU1CDrp0o+wTmp0kq8fWSVNOP/889O9LN3nRM1GFBQpva36COmkSj/CTz31VNTKrJNJrUOd17VsnbyqaZhSkqdF709XbnXiriQCOpFXbYWuiKvmSB3HVZPi8e7BpPuw6KRGbfzTosQFqiHQiZ+ayKnWQNtTacjVLMdrDqimc7q6q5TZalqk+XRl1x8UqTZATWXU5E/9QzT9zTffTHd5PM8995zbbmrepUQA6vukoFbNfbQtRDVoWrYSSOhkT8GF0itr+2aGgmOdCCsFttKsK2GDroAr6NTVfG0XbQ8Fotpe2iaqYVGyDgXDSq6hZejKe3rpPag2SWm/FcBou6vmTe8nNBDTVXuN0wm+tqu2v5rARepPFc3viUfrVlptBRxat67wqzZMn3V6KGhRsy0F/6rBfP75593nqzTToRTUqEZG+7f6wGQkqFPtqW4loP1E20jbSvuKtoNXy6d9Sd9zNXdU/yddDND7UN8bfTe9PkkKdLSdlN5ay9M2VY2RLq707ds3eMLvp++I5tF3Ud9NXSjJSA1jJPrM1KdIiSRUi6T04KrV8Zr4ZaS2UccQ9VXzmgoqqFMwqO3svXcvqNR7V+p9lV/bQ69VYKXnOi5p/1TwpubBqvEKpWUoGNZxVsdAzaPmpFqG+sQp5br6uem4oAsi+txDL4poX9U+ou+FtrVq6LQufb+8CwEAIvj/2e8AxBEvZaxSIIeKlF758OHDgcGDB7tUzPnz5w8kJiYGBgwYEDhw4ECG17t06VKX2lZpgYsUKRI4//zzA1999VXYPMeaHlyvU8pilVMpl5s3bx5YsWJF2LxKE3zCCSekuKyXXnrJpQtWqnGlr65Xr17g3nvvdenM/Tp37hxMhR2JPz24KEW60h6XLFkyUKhQocDZZ58d+PDDD5O9VvNpuXofSl/9wAMPBD777LOw9OBK46y01jVq1HDLKlWqlNuun3/+eSCjVq5c6VLEe+U69dRTAwMHDgxLo92tW7fASSed5D5DfZY//fRTsvfo7Uf+VMP+1Oae999/P9C0aVO3vYsXL+62x+TJk8PmURr0K664wqWv1/bQOq+55prArFmzMpQeXCnGn3jiCfd6LUepobXtVX6NC6V9U/uB0tqHpgqPlHI5vd8TrSNS2m9/OZUmW9tBn4W2S61atQKPP/54WMrvSLxtMG/evMBtt90WOPHEE91npf10x44dEV/z9ttvu9do/vRSWZWSevHixS7Vt/YXvbfRo0cnm3fr1q3B/UbbUt+nSCm2lSZfKeQrVqzotqHSwuv7HJoW3p8e3KO05/ny5XPpzpXKO6X04JG+95E+Tx0br7/+evf9L1GiROCmm24KLFiwwM03ZcqUdG+nF1980aXe9/ZbfU/vueced4uBUI8++mjg5JNPdqnOQ/dhfTfq16/vtq9uH/Dkk08GXnvttWT7+ZYtW9x+pfJqWui+tGTJEpeCX9u+cuXKLgW8/7uiY/N1113npqucSvF+2WWXuc8XQMoS9CdSAAUAsURXoVULok7/quEBkD6qkVEtippnhaYtRzjVVqnGRbczUA0RANBHCQCAOKYmVkpwEXpvr9zO399J/afUr0pN0dQ8FQCEPkoAUqV282mlj1V7+Mym5dUJSlod9jOSHjq3UefvtDq5qw8Fch/1eVNaefVDU/+7eLwNwLGkwtf3pkmTJq6vo/q1ffXVV/bEE0+4/mvqA5ZWWnL15YuUoQ5A/CBQApAqZSPTTQpTow7z6UnPHYnSIqtJXWp0TxJ1Fkdyymbmz3DlRwvr3EkZ73SRQR39lWAF/6NECEqD/+GHH7qMjEqQoBolL5mGgqa0knQoOx3HJSC+0UcJQKqUUliP1KhJT6FChTK1fJ2kqE9AatRsyLsXEMKtWrXKpTBPje7NAiD9lE5bWfxSoyyNFSpUyLIyAch6BEoAAAAAkNua3ukmcrraqvsZ0D4bAAAAyL0CgYC7l5juFefd2zDXBkoKkhITE7O7GAAAAABihPpIV6pUKXcHSt6dsbUxlPYTAAAAQO6UlJTkKlG8GCFXB0peczsFSQRKAAAAABLS0SWHG84CAAAAgA+BEgAAAAD4ECgBAAAAgA+BEgAAAAD4ECgBAAAAgA+BEgAAAAD4ECgBAAAAgA+BEgAAAAD4ECgBAAAAgA+BEgAAAAD45POPAAAAQHzZv3+/vfjii/bbb79ZpUqV7Pbbb7fChQtnd7GAmJYQCAQCFseSkpKsRIkStmvXLitevHh2FwcAACBLPfjgg7ZgwYJk45s1a2aPP/54tpQJyAmxAU3vAAAA4jxIyp8/v11//fU2YcIE91/DGq/pACKjRgkAACBOm9u1bdvWBUUfffSRFShQIDjt0KFDdumll9rhw4ftk08+oRkeco0kapQAAAByN/VJkquvvjosSBINX3XVVWHzAQhHoAQAABCHlLhBLrnkkojTvfHefADCESgBAADEIWW3k48//jjidG+8Nx+AcARKAAAAcUgpwOWdd95xfZJCaXjq1Klh8wEIR6AEAAAQh5SgQSnAlbBBiRvUF2nTpk3uv5fIQdNJ5ABERtY7AACAOMZ9lIDMxQYESgAAALkgVbhqkpS4QX2S1NyOmiTkRkkESv9DoAQAAABAuI8SAAAAABwDAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAAiKVAaf78+dauXTurWLGiJSQk2IwZM4LTDh8+bPfdd5/Vq1fPTjjhBDdPly5dbPPmzdlZZAAAAAC5QLYGSnv37rUGDRrYmDFjkk3bt2+fLV261AYOHOj+v/vuu7Z69Wq7/PLLs6WsAAAAAHKPhEAgELAYoBql6dOnW4cOHVKc59tvv7Wzzz7bNmzYYJUrV07XcpOSkqxEiRK2a9cuK168eBRLDAAAACAnyUhskM9yEL0hBVQlS5ZMcZ6DBw+6R+jGAAAAAIC4TOZw4MAB12fpuuuuSzX6Gzp0qIsSvUdiYmKWlhMAAABAzpcjAiUldrjmmmtMrQTHjh2b6rwDBgxwNU/eY9OmTVlWTgAAAADxIV9OCZLUL2n27NlptiUsWLCgewAAAABAXAZKXpD0yy+/2Jw5c6x06dLZXSQAAAAAuUC2Bkp79uyxNWvWBIfXr19vy5cvt1KlSlmFChXsqquucqnBP/zwQzty5Iht2bLFzafpBQoUyMaSAwAAAIhn2ZoefO7cuXb++ecnG9+1a1d75JFHrFq1ahFfp9qlli1bpmsdpAcHAAAAkKPSgyvYSS1Oi5FbPAEAAADIZXJE1jsAAAAAyEoESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESkCcW7lypbVs2TL40DAAAABSly+N6QByMAVGfr1793b/586dmw0lAgAAyBmoUQJySZB06aWXpjodAAAA/0ONEhCHQpvXvfLKK1azZk33/J577rE1a9bYLbfcEpzvtNNOy7ZyAgAAxCpqlIA45DWvEy9IijQcOh8AAAD+h0AJiGP+5naeiy66KMvLAgAAkJMQKAFx7KOPPoo4/tNPP83ysgAAAOQkBEpAHBo9enTwufokhQodDp0PAAAA/0MyByAOhSZo8BI3qLmdvyaJRA4AAACRUaMExCn/fZL8QRL3UQIAAEgZgRIQxxQM+ZvXaZggCQAAIHU0vQPinJrXERgBAABkDDVKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAsRQozZ8/39q1a2cVK1a0hIQEmzFjRtj0QCBgDz/8sFWoUMEKFy5srVu3tl9++SXbygsAAAAgd8hUoLR06VL7/vvvg8PvvfeedejQwR544AE7dOhQupezd+9ea9CggY0ZMybi9Keeesqee+45e+GFF+ybb76xE044wdq0aWMHDhzITLEBAAAA4PgFSrfffrv9/PPP7vm6devs2muvtSJFitg777xj9957b7qX07ZtW3vsscesY8eOyaapNmnkyJH20EMPWfv27a1+/fo2fvx427x5c7KaJwAAAADI9kBJQVLDhg3dcwVHLVq0sEmTJtm4ceNs2rRpUSnY+vXrbcuWLa65nadEiRLWuHFjW7hwYYqvO3jwoCUlJYU9AAAAAOC4B0qq7Tl69Kh7/vnnn9sll1zinicmJtr27dstGhQkSbly5cLGa9ibFsnQoUNdQOU9VCYAAAAAOO6BUqNGjVyTuTfffNPmzZtnl156abAWyB/YZLUBAwbYrl27go9NmzZla3kAAAAA5JJASX2HlNChd+/e9uCDD1rNmjXd+KlTp1rTpk2jUrDy5cu7/1u3bg0br2FvWiQFCxa04sWLhz0AAAAAICPyWSYosUJo1jvPsGHDLG/evBYN1apVcwHRrFmzgv2h1N9I2e969OgRlXUAAAAAQNQCJY9SgW/bti3YX8lTuXLldL1+z549tmbNmuCwmu4tX77cSpUq5ZbRt29f18TvlFNOcYHTwIED3T2XlIocAAAAAGIqUFLWu5tvvtm++uqrZEkedOPYI0eOpGs5ixcvtvPPPz843L9/f/e/a9euLoOeUo3rXku33Xab7dy5084991ybOXOmFSpUKDPFBgAAAIB0SQgousmgZs2aWb58+ez++++3ChUquOAolG4iGyvUXE/Z75TYgf5KAAAAQO6VlIHYIFM1Smoet2TJEqtVq1ZmywgAAAAA8ZX1rk6dOlG7XxIAAAAAxEWg9OSTT7r+Q3PnzrUdO3a4KqzQBwAAAADkuj5KefL8X3zl75uU0WQOWYE+SgAAAACypI/SnDlzMvMyAAAAAMgRMhUonXfeedEvCQAAAADk9BvO6r5Gr776qv34449uuG7duta9e3dXlQUAAAAAuS6Zg24UW6NGDXvmmWfsr7/+co8RI0a4cUuXLo1+KQEAAAAg1pM5NG/e3GrWrGkvv/yyu/Gs/PPPP3bLLbfYunXrbP78+RYrSOYAAAAAIKOxQaYCpcKFC9uyZcuS3XB21apV1qhRI9u3b5/FCgIlAAAAABmNDTLV9E4L3bhxY7LxmzZtsmLFimVmkQAAAAAQMzIVKHXq1Mluvvlme+utt1xwpMeUKVNc07vrrrsu+qUEAAAAgFjPevf000+7G8t26dLF9U2S/PnzW48ePew///lPtMsIAAAAAFkqU32UPOqLtHbtWvdcGe+KFClisYY+SgAAAAAyGhtk+j5KosCoXr16x7IIAAAAAIg56Q6UrrjiChs3bpyLvPQ8Ne+++240ygYAAAAAsR0oqYpK/ZJEwZL3HAAAAADizTH1UcoJ6KMEAAAAIEvuo9SqVSvbuXNnxBVrGgAAAADkZJkKlObOnWuHDh1KNv7AgQP2xRdfRKNcAAAAAJBtMpT17rvvvgs+X7VqlW3ZsiU4fOTIEZs5c6adfPLJ0S0hAAAAAMRyoNSwYUOXxEGPSE3sChcubKNGjYpm+QAAAAAgtgOl9evXm3I/VK9e3RYtWmRlypQJTitQoICVLVvW8ubNezzKCQAAAACxGShVqVLF/T969OjxKg8AAAAA5KxAyU/9lDZu3JgsscPll19+rOUCAAAAgJwVKK1bt846duxo33//veuv5N2KybsJrRI7AAAAAECuSg9+5513WrVq1Wzbtm1WpEgR++GHH2z+/PnWqFEjlzocAAAAAHJdjdLChQtt9uzZdtJJJ1mePHnc49xzz7WhQ4danz59bNmyZdEvKQAAAADEco2SmtYVK1bMPVewtHnz5mCyh9WrV0e3hAAAAACQE2qUTjvtNFuxYoVrfte4cWN76qmnXHrwl156yaUOBwAAAIBcFyg99NBDtnfvXvd8yJAhdtlll1nz5s2tdOnS9tZbb0W7jAAAAACQpRICXsq6Y/TXX3/ZiSeeGMx8FyuSkpKsRIkStmvXLitevHh2FwcAAABADogNjuk+SqFKlSoVrUUBAAAAQLZKd6B0xRVXpHuh7777bmbLAwAAAAA5J1BSFRUAAAAA5AbpDpRef/3141sSAAAAAMjJ91ECAAAAgHiW7hql008/Pd0Z7ZYuXXosZQIAAACAbJXuQKlDhw7HtyQAAAAAEG/3UYpV3EcJAAAAQEZjg0z3Udq5c6e98sorNmDAAHezWa/J3e+//57ZRQIAAABATMjUDWe/++47a926tYvGfv31V7v11lvdDWd1/6SNGzfa+PHjo19SAAAAAMgimapR6t+/v9100032yy+/WKFChYLjL7nkEps/f340ywcAAAAAOSNQ+vbbb+32229PNv7kk0+2LVu2WLQcOXLEBg4caNWqVbPChQtbjRo17NFHH7U471YFAAAAICc2vStYsKDrCOX3888/W5kyZSxannzySRs7dqy98cYbVrduXVu8eLF169bNNfnr06dP1NYDAAAAAMdco3T55ZfbkCFD7PDhw25Y91dS36T77rvPrrzySouWr776ytq3b2+XXnqpVa1a1a666iq76KKLbNGiRVFbBwAAAABEJVAaPny47dmzx8qWLWv79++38847z2rWrGnFihWzxx9/3KKladOmNmvWLFdTJStWrLAvv/zS2rZtm+JrDh486Gq7Qh8AAAAAcNyb3qnp22effWYLFixwwYuCpjPOOMNlwoum+++/3wU6tWrVsrx587o+SwrEOnfunOJrhg4daoMHD45qOQAAAADkLjF9w9kpU6bYPffcY8OGDXN9lJYvX259+/a1ESNGWNeuXVOsUdLDo0ArMTGRG84CAAAAuVxSBm44m6lASYkU1NTOn1Bh9OjRtmbNGhs5cqRFgwIc1Sr16tUrOO6xxx6zCRMm2E8//RT1jQEAAAAgfmUkNshUH6Vp06ZZs2bNIvYpmjp1qkXLvn37LE+e8CKqCd7Ro0ejtg4AAAAAiEofpR07drhIzE9R2fbt2y1a2rVr5/okVa5c2TW9W7ZsmWt2171796itAwAAAACiUqOkZnczZ85MNv6TTz6x6tWrW7SMGjXKpQTv2bOn1a5d2+6++253o1vddBYAAAAAYqpGqX///ta7d2/7888/rVWrVm6c0ngrbXi0+ieJ0o1redFcJgAAAAAcl0BJTd+UWU7N4rzaHd0QduzYsdalS5fMLBIAAAAA4ic9uGqVChcubEWLFrVYRNY7AAAAABmNDTJVoxSqTJkyx7oIAAAAAMj5yRy2bt1qN954o1WsWNHy5cvnUnaHPgAAAAAgJ8tUjdJNN91kGzdutIEDB1qFChUsISEh+iUDAAAAgJwUKH355Zf2xRdfWMOGDaNfIgAAAADIiU3vEhMT7RhzQAAAAABAfAVKuq/R/fffb7/++mv0SwQAAAAAObHpXadOnWzfvn1Wo0YNK1KkiOXPnz9s+l9//RWt8gEAAABAzgiUVKMEAAAAAPEqU4FS165do18SAAAAAIgRx3zD2QMHDtihQ4fCxqV1l1sAAAAAiLtkDnv37rXevXtb2bJl7YQTTrATTzwx7AEAAAAAuS5Quvfee2327Nk2duxYK1iwoL3yyis2ePBgq1ixoo0fPz76pQQAAACAWG9698EHH7iAqGXLltatWzdr3ry51axZ06pUqWITJ060zp07R7+kAAAAABDLNUpK/129evVgfyQvHfi5555r8+fPj24JAQAAACAnBEoKktavX++e16pVy95+++1gTVPJkiWjW0IAAAAAyAmBkprbrVixwj2///77bcyYMVaoUCHr16+f3XPPPdEuIwAAAABkqYRAIBA41oVs2LDBlixZ4vop1a9f32JJUlKSlShRwnbt2kXacgAAACAXS8pAbHDM91ESJXHQAwAAAABybdO7Pn362HPPPZds/OjRo61v377RKBcAAAAA5KxAadq0adasWbNk45s2bWpTp06NRrkAAAAAIGcFSjt27HBt+/zUzm/79u3RKBcAAAAA5KxASUkbZs6cmWz8J598Ery/EgAAAADkVJlK5tC/f3/r3bu3/fnnn9aqVSs3btasWTZ8+HAbOXJktMsIAAAAALEfKHXv3t0OHjxojz/+uD366KNuXNWqVW3s2LHWpUuXaJcRAAAAAHLWfZRUq1S4cGErWrRosmkLFiywRo0aWcGCBS27cB8lAAAAABmNDTLVRylUmTJlIgZJ0rZtW/v999+PdRUAAAAAkKWOOVBKzTFWVgEAAABA/AVKAAAAAJATESgBAAAAgA+BEgAAAABkZaCUkJBwPBcPAAAAAMcFyRwAAAAAIBo3nN2/f78LgooUKeKGN2zYYNOnT7c6derYRRddFJxv9+7dmVk8AAAAAOS8GqX27dvb+PHj3fOdO3da48aNbfjw4W782LFjo11GAAAAAIj9QGnp0qXWvHlz93zq1KlWrlw5V6uk4Om5556LdhkBAAAAIPYDpX379lmxYsXc808//dSuuOIKy5Mnj51zzjkuYAIAAACAXBco1axZ02bMmGGbNm2y//73v8F+Sdu2bbPixYtHu4wAAAAAEPuB0sMPP2x33323Va1a1fVPatKkSbB26fTTT492GQEAAAAgSyUEMpnDe8uWLfbHH39YgwYNXLM7WbRokatRqlWrlsWKpKQkK1GihO3atYvaLgAAACAXS8pAbJCp9OBSvnx59wh19tlnZ3ZxAI6TI0eO2HfffWd//fWXlSpVyurXr2958+bN7mIBAADEtEwFSueff74lJCSkOH327NnHUiYAUTJ//nx7/vnnXQ2wRxc4evbsaS1atMjWsgEAAMRdH6WGDRu6JnfeQzeaPXTokEsbXq9evagW8Pfff7cbbrjBSpcubYULF3bLX7x4cVTXAcRrkDRo0CCrXr26jRkzxj7++GP3X8Mar+kAAACIch+lSB555BHbs2ePPf3001FZ3t9//+2SQ6gGq0ePHlamTBn75ZdfrEaNGu6RHvRRQm5tbte5c2cXFD322GPBfoRy9OhRe+ihh2z9+vU2YcIEmuEBAIBcIykDsUGmapRSopqf1157LWrLe/LJJy0xMdFef/111/+pWrVqLhV5akHSwYMH3QYIfQC5jfokqbmdgqXQIEk0rPFKxqL5AAAAcJwDpYULF1qhQoWitrz333/fGjVqZFdffbWVLVvW1S69/PLLqb5m6NChLkr0Hgq0gNxGiRtEFxci8cZ78wEAACAKyRyuuOKKsGG13tPVafUdGjhwoEXLunXrbOzYsda/f3974IEH7Ntvv7U+ffpYgQIFrGvXrhFfM2DAADe/RzVKBEvIbZTdTtS8rm7dusmma3zofAAAAIhCoKSaGn9TnlNPPdWGDBnimsZFi/pSqEbpiSeecMOqUVq5cqW98MILKQZKBQsWdA8gN1MKcGW3mzhxYsQ+ShpfoUIFNx8AAACiFCipz1BW0ImcMuqFql27tk2bNi1L1g/kVErQoBTgym6nxA3qk6TmdqpJUpCkZrKDBw8mkQMAAEC0bzgrS5YssR9//NE9V/Me1fhEU7NmzWz16tVh437++WerUqVKVNcDxCPdJ0nBkO6j1KtXr7ALEBrPfZQAAACiHCht27bNrr32Wps7d66VLFnSjdu5c6dL4z1lyhSXxjsa+vXrZ02bNnVN76655hpbtGiRvfTSS+4BIG0KhnTBQdntlLhBfZLU3I6aJAAAgONwH6VOnTq5RAvjx493TeFk1apVrt9QzZo1bfLkyRYtH374oUvQoPsnqemQEjXceuut6X4991ECAAAAkNHYIFOBkhb++eef21lnnRU2XjU+Suag2qVYQaAEAAAAIEtuOKusWfnz5082XuM0DQAAAAByskwFSq1atbI777zTNm/eHBz3+++/uz5FF1xwQTTLBwAAAAA5I1AaPXq0q7aqWrWq1ahRwz3Uf0jjRo0aFf1SAgAAAECsZ71LTEy0pUuXun5KP/30kxunpA6tW7eOdvkAAAAAIMtlKplDTkIyBwAAAAAZjQ3SXaP03HPP2W233WaFChVyz1PTp0+f9C4WAAAAAHJujZL6IC1evNhKly7tnqe4wIQEd4+lWEGNEgAAAIDjVqO0fv36iM8BAAAAIN5kKuvdl19+Gf2SAAAAAEBOv4+Smt898MAD9sMPP0S/VAAAAACQ0wIl3Wj2rrvusnnz5lm9evWsYcOGNmzYMPvtt9+iX0IAAAAAyGnpwdVfadKkSTZ58mR3T6UWLVrY7NmzLVaQzAEAAABARmODqNxH6ciRI/bJJ5/YwIED7bvvvnPDsYJACQAAAEBGY4NMNb3zLFiwwHr27GkVKlSw66+/3k477TT76KOPjmWRAAAAAJDt0p0ePNSAAQNsypQprq/ShRdeaM8++6y1b9/eihQpEv0SAjgm6jt4yy232MGDB61gwYL2yiuvWKVKlbK7WAAAADEtU03vmjVrZp07d7ZrrrnGTjrpJItlNL1DbnbBBRdEbAqbN29emzVrVraUCQAAIG6b3nlN7mI9SAJys9AgSQcCZar0Dggar+kAAACIch+lN99809UsVaxY0TZs2ODGjRw50t57773MLhJAFJvbeUHS1KlT7f3337d27dq5/xoWTSelPwAAQBQDpbFjx1r//v3tkksusZ07dwZPyEqWLOmCJQDZS32SRDVI/ppfDRcrVixsPgAAAEQhUBo1apS9/PLL9uCDD7q+Dp5GjRrZ999/n5lFAogiJW6QW2+9NeL0bt26hc0HAACAKARKusns6aefnmy8Mmrt3bs3M4sEEEX6LoouaETy+uuvh80HAACAKARK1apVs+XLlycbP3PmTKtdu3ZmFgkgipQC3Mvssn379rBpGt69e3fYfAAAAIjCfZTUP6lXr1524MABU3bxRYsW2eTJk23o0KGceAExQPdJUrNY9R+86qqrXJ8kNbdTTZIXJGk691MCAACI4n2UZOLEifbII4/Y2rVr3bCy3w0ePNhuvvlmiyXcRwm5GfdRAgAAyFxskOFA6Z9//rFJkyZZmzZtrFy5crZv3z7bs2ePlS1b1mIRgRJyO6UAV3Y7JW5QnyTV+lKTBAAAcqOk4xkoSZEiRezHH3+0KlWqWKwjUAIAAACQ0dggU8kczj77bFu2bFlmXgoAAAAA8ZnMoWfPnnbXXXe5Jj1nnnmmnXDCCWHT69evH63yAQAAAECWy1TTuzx5kldEJSQkuAx4+h+p83h2oekdAAAAgIzGBvkye8NZAAAAAIhXmQqUckISBwAAAADI0kBJVq9ebaNGjXLZ76R27dp2xx132KmnnprpwgAAAABALMhU1rtp06bZaaedZkuWLLEGDRq4x9KlS904TQMAAACAXJfMoUaNGta5c2cbMmRI2PhBgwbZhAkTbO3atRYrSOYAAAAAIEvuo/THH39Yly5dko2/4YYb3DQAAAAAyMkyFSi1bNnSvvjii2Tjv/zyS2vevHk0ygUAAAAAOSuZw+WXX2733Xef66N0zjnnuHFff/21vfPOOzZ48GB7//33w+YFAAAAgJwkajecjbjwGLj5LH2UAAAAAGTJDWePHj2amZcBAAAAQPz2UUqvevXq2aZNm47nKgAAAAAgZwVKv/76qx0+fPh4rgIAAAAAclagBCD7bdmyxTp27GgXXnih+69hAAAAWPT7KAHIGS6++GI7cOBAcPjvv/+2a6+91goVKmQzZ87M1rIBAADEshxVo/Sf//zHZdLr27dvdhcFyFFBUvny5W3QoEHuv2i8pgMAACCH1yh9++239uKLL1r9+vWzuyhAzFPzOi9ImjFjhpUsWdI9P//8823nzp3WoUMHN13zecETAAAAcliN0p49e6xz58728ssv24knnpjqvAcPHnT50UMfQG7To0cP919BkBckeTTsBUfefAAAAMhkoFSqVCnbvn27e969e3fbvXt3mq9RDVC5cuXsWPXq1csuvfRSa926dZrzDh061N1EynskJiYe8/qBnEYXF+T222+POP3mm28Omw8AAACZDJQOHToUrJ154403wjqIp+T666+3E044wY7FlClTbOnSpS4ASo8BAwa4O+16D+7jhNyoaNGiwYsVkbz66qth8wEAACCTfZSaNGni+jWceeaZFggErE+fPla4cOGI87722msWDQpy7rzzTvvss89clq70KFiwoHsAudnYsWNddjv1QVKfpNDmdxr2UoRrPgAAABxDoDRhwgR75plnbO3atS7znGpr0lOrdCyWLFli27ZtszPOOCM47siRIzZ//nwbPXq064+UN2/e41oGICdSHyRdXNB3VBc4NKzmdqpJ8oIkTSeRAwAAQGQJAVUPZVC1atVs8eLFVrp0aTue1A9qw4YNYeO6detmtWrVsvvuu89OO+20NJeh5oLqq6TArnjx4sextEDs30fJw32UAABAbpSUgdggU+nB169fb1mhWLFiyYIh9XlSgJaeIAnI7RQMqQZJ2e2UuEF9ktTcjpokAACA43QfpXnz5tnTTz9tP/74oxuuU6eO3XPPPda8efPMLhLAcaCgaPr06dldDAAAgPi/j5L6KylVd5EiRVxSBy+xwwUXXGCTJk2y42nu3Lk2cuTI47oOAAAAALlbpvoo1a5d22677Tbr169f2PgRI0a4m8J6tUyxgD5KAAAAADIaG2SqRmndunXWrl27ZOMvv/zyLOu/BAAAAADHS6YCpcTERJs1a1ay8Z9//rmbBgAAAAC5LpnDXXfd5folLV++3Jo2berGLViwwMaNG2fPPvtstMsIAAAAALEfKCnVsDJpDR8+3N5+++1gv6W33nrL2rdvH+0yAgAAAEDsJ3NIr8mTJ7t+S7r3UXYhmQMAAACALEnmkF633367bd269XiuAgAAAACi7rgGSsexsgoAAAAAcmagBAAAAAA5EYESAAAAAPgQKAEAAACAD4ESAAAAAGRloFSlShXLnz//8VwFAAAAAMTGDWc9S5YssR9//NE9r1Onjp1xxhlh01euXHlspQMAAACAnBIobdu2za699lqbO3eulSxZ0o3buXOnnX/++TZlyhQrU6ZMtMsJIJPef/99GzFiRHC4f//+7kbQAIDc48iRI/bdd9/ZX3/9ZaVKlbL69etb3rx5s7tYQExLCGTiZkedOnWydevW2fjx46127dpu3KpVq6xr165Ws2ZNmzx5suXEu+8C8aZly5YpTtOFDgBA/Js/f749//zztmXLluC48uXLW8+ePa1FixbZWjYglmODTAVKWvjnn39uZ511Vtj4RYsW2UUXXeRql2IFgRJyK3+QVKlSJfvtt9/CxhEsAUD8B0mDBg2yJk2aWOfOna1atWq2fv16mzhxoi1cuNAGDx5MsIRcJSkDsUGmkjkcPXo0YpIGjdM0ANnf3M7z0EMPuYBowoQJ7r+GI80HAIi/5naqSVKQ9Nhjj1ndunWtSJEi7r+GNX7s2LFuPgBRCpRatWpld955p23evDk47vfff7d+/frZBRdckJlFAoii0D5JrVu3DpsWOhw6HwAgvqhPkprbqSYpT57wUz4Na/wff/zh5gMQpUBp9OjRrtqqatWqVqNGDffQc40bNWpUZhYJ4DhQc7tIypUrl+VlAQBkLSVuEDW3i8Qb780HIApZ7xITE23p0qU2a9asYHpwJXXwX7kGkL38fZI8W7duzfKyAACylrLbifokqbmdn8aHzgcgSjecnT17tnusWLHCli1bZpMmTbLu3bu7B4DspRTgHiVeCRU6HDofACC+KAW4stspcYO/D7mGNb5ChQpuPgBRynqnDClDhgyxRo0auS9YQkJC2PTp06dbrCDrHXIrf9Y7Nbfz1ySR9Q4A4htZ74AsTg+u4Oipp56yG2+80WIdgRJyM+6jBACIdB8lncv16NGDIAm5TtLxDpRKly7t7pmkJA6xjkAJuZ1SgIdmt1Nzu8svvzxbywQAyFpKAa7sdkrcoD5Jam6XN2/e7C4WEH+B0n333WdFixa1gQMHWqwjUAIAAACQ0dggU1nvDhw4YC+99JLrFK4rEv6bz3JvFgAAAAA5WaYCJVXdNmzY0D1fuXJl2DR/YgcAAAAAyBWB0pw5c6JfEgAAAADI6fdRAgAAAIB4RaAEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESkCcGz9+vLVs2TL40DAAAAByeKA0dOhQO+uss6xYsWJWtmxZ69Chg61evTq7iwXkCAqMXnvttbBxGtZ4AAAA5OBAad68edarVy/7+uuv7bPPPrPDhw/bRRddZHv37s3uogExzR8MlSxZMtXpAAAA+J98FuNmzpwZNjxu3DhXs7RkyRJr0aJFtpULiGWhzevuvvtuu+yyy4LDH374oT399NPB+bp06ZItZQQAAIhlMV+j5Ldr1y73v1SpUhGnHzx40JKSksIeQG4T2twuNEjyD/ub5QEAACAHBkpHjx61vn37WrNmzey0005LsU9TiRIlgo/ExMQsLycQK/zN7Tzq8wcAAIA4CZTUV2nlypU2ZcqUFOcZMGCAq3XyHps2bcrSMgKxZOfOnRHH7969O8vLAgAAkJPkmECpd+/erm/FnDlzrFKlSinOV7BgQStevHjYA8htunfvHnyu702o0OHQ+QAAAPA/CYFAIGAxTMW74447bPr06TZ37lw75ZRTMvR69VFSEzzVLhE0ITfxZ7VTczt/TZK+UwAAALlFUgZigzw5obndhAkTbNKkSe5Eb8uWLe6xf//+7C4aENP8QRBBEgAAQPrFfKA0duxYF/Hp6niFChWCj7feeiu7iwbEPAVD/uZ1GiZIAgAAyOFN744VTe8AAAAAxF3TOwAAAADIagRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPvn8IwDEl5YtWyYbN3fu3GwpCwAge2zcuNFuvvlmO3z4sOXPn99effVVq1y5cnYXC4hpCYFAIGBxLCkpyUqUKGG7du2y4sWLZ3dxgGwPkjwESwCQO7Rq1cqOHj2abHyePHls9uzZ2VImICfEBjS9A3JhkJSe6QCA+AqSihQpYnfccYf7Lxqv6QAio+kdEIdCg6BChQrZzJkzg8MXX3yxHThwIDgfNUsAEL/N7bwg6e2337ayZcu651deeaVt27bNrrnmGjdd89EMD0iOGiUgzoUGSZGGAQDxSX2SRDVIXpDk0bBXs+TNByAcgRIAAEAcUuKG1AKhLl26hM0HIByBEgAAQBxSdjtRhrtIxo8fHzYfgHAESkCcU5+k1IYBAPHJC5D27dvn+iSF0rDGh84HIBzpwYE4lZ6sdiRyAIDclfVOze1Uk+QFSaQIR26TlIHYgEAJiGPcRwkAwH2UgP/hPkoAUg2GCJIAIPdQMKRaJK8vkv5rmCAJSB01SgAAAAByhSRqlAAAAAAg8wiUAAAAAMCHQAkAAAAAfAiUAAAAAMCHQAkAAAAAfAiUAAAAAMCHQAkAAAAAfAiUAAAAAMCHQAkAAAAAfAiUAAAAAMCHQAkAAAAAfAiUAAAAAMCHQAkAAAAAfAiUAAAAAMCHQAkAAAAAfAiUAAAAACAnBkpjxoyxqlWrWqFChaxx48a2aNGi7C4SAAAAgDgW84HSW2+9Zf3797dBgwbZ0qVLrUGDBtamTRvbtm1bdhcNAAAAQJyK+UBpxIgRduutt1q3bt2sTp069sILL1iRIkXstddey+6iAQAAAIhT+SyGHTp0yJYsWWIDBgwIjsuTJ4+1bt3aFi5cGPE1Bw8edA9PUlKSxbI1a9bY+vXrs7sYOca+ffts7dq12V0M5CI1atRwF2eQftWqVbOaNWtmdzFyFH4LMo7fA2Q1fg9y329BTAdK27dvtyNHjli5cuXCxmv4p59+iviaoUOH2uDBgy2nGDVqlK1YsSK7iwEAUaMm0s8++2x2FyNH4bcAQLxpEAe/BTEdKGWGap/Upym0RikxMdFi1R133MFVxAzgCiKyGlcQM3cVERnDb0HG8XuArMbvQe77LYjpQOmkk06yvHnz2tatW8PGa7h8+fIRX1OwYEH3yClUJZnTqyUBAMeG3wIAiD0xncyhQIECduaZZ9qsWbOC444ePeqGmzRpkq1lAwAAABC/YrpGSdSMrmvXrtaoUSM7++yzbeTIkbZ3716XBQ8AAAAAcmWg1KlTJ/vzzz/t4Ycfti1btljDhg1t5syZyRI8AAAAAEC0JAQCgYDFMSVzKFGihO3atcuKFy+e3cUBAAAAkANig5juowQAAAAA2YFACQAAAAB8CJQAAAAAwIdACQAAAAB8CJQAAAAAwIdACQAAAAB8CJQAAAAAwIdACQAAAAB8CJQAAAAAwCefxblAIBC8Cy8AAACA3Cvp/8cEXoyQqwOl3bt3u/+JiYnZXRQAAAAAMRIjlChRItV5EgLpCadysKNHj9rmzZutWLFilpCQkN3FAbLt6okuFmzatMmKFy+e3cUBAGQDfgsAczVJCpIqVqxoefLkyd01StoAlSpVyu5iADFBP4z8OAJA7sZvAXK7EmnUJHlI5gAAAAAAPgRKAAAAAOBDoATkAgULFrRBgwa5/wCA3InfAiBj4j6ZAwAAAABkFDVKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAKLq119/tYSEBFu+fPkxLadly5bWt2/fqJULAJBxjzzyiDVs2DAmfheArEagBGTATTfd5A72//nPf8LGz5gxw41Pr6pVq9rIkSMztG4lqHzppZescePGVrRoUStZsqQ1atTILWffvn0ZWhYAIPtt2bLF7rjjDqtevbpL2Z2YmGjt2rWzWbNmZXfRABAoARlXqFAhe/LJJ+3vv//O0vXeeOONroalffv2NmfOHHdlbuDAgfbee+/Zp59+mqVlAQDYMdeynHnmmTZ79mwbNmyYff/99zZz5kw7//zzrVevXtldPAAESkDGtW7d2sqXL29Dhw5NcZ5p06ZZ3bp13RVC1R4NHz48rEnZhg0brF+/fq4WKj01UW+//bZNnDjRJk+ebA888ICdddZZbrkKmvQjqx9W+fbbb+3CCy+0k046yUqUKGHnnXeeLV26NGxZWt8rr7xiHTt2tCJFitgpp5xi77//ftg8P/zwg1122WVWvHhxK1asmDVv3tzWrl0bnK7X165d2wWNtWrVsueffz7V8q9cudLatm3rasLKlSvngr7t27cHp+/du9e6dOnipleoUCFsewFAPOrZs6c7Hi9atMiuvPJK+9e//uV+N/r3729ff/21m2fEiBFWr149O+GEE1xtk16zZ8+e4DLGjRvnWhf897//dcdkHUMvvvhi++OPP8LW9dprrwV/k3SM7d27d3Dazp077ZZbbrEyZcq4Y36rVq1sxYoVqZY9rd8AvafTTz/dTVfLh2XLlkVpqwFZi0AJyKC8efPaE088YaNGjbLffvst2fQlS5bYNddcY9dee627Qqj23ar50Q+avPvuu1apUiUbMmSI+zHz/6BFoiDp1FNPdYGRn35oFRTJ7t27rWvXrvbll1+6H1oFQZdccokbH2rw4MGujN99952b3rlzZ/vrr7/ctN9//91atGjhflAVhOn9dO/e3f75559gWR5++GF7/PHH7ccff3TbQu/vjTfeiFh2/Qjrh1c/mosXL3ZXTLdu3erW77nnnnts3rx5wdqxuXPnJgvwACBe6HirY6FqjhQE+Sn4kTx58thzzz3nLl7pGKtj8r333hs2r5peP/300/bmm2/a/PnzbePGjXb33XcHp48dO9at57bbbnO/SbowVrNmzeD0q6++2rZt22affPKJO96fccYZdsEFFwR/E/zS+g1QIKcLbXXq1HHL029gaHmAHCUAIN26du0aaN++vXt+zjnnBLp37+6eT58+PeB9na6//vrAhRdeGPa6e+65J1CnTp3gcJUqVQLPPPNMutdbu3btwOWXX57h8h45ciRQrFixwAcffBAcp3I+9NBDweE9e/a4cZ988okbHjBgQKBatWqBQ4cORVxmjRo1ApMmTQob9+ijjwaaNGninq9fv94tb9myZcFpF110Udj8mzZtcvOsXr06sHv37kCBAgUCb7/9dnD6jh07AoULFw7ceeedGX7PABDrvvnmG3cMfPfddzP0unfeeSdQunTp4PDrr7/ulrNmzZrguDFjxgTKlSsXHK5YsWLgwQcfjLi8L774IlC8ePHAgQMHkh3nX3zxRfd80KBBgQYNGqT7N0CvUxn3798fnD527Niw3wUgp8iX3YEakFOpn5JqSvxXynSFzV/z06xZM5d04ciRI65GKqP+L75Jm2pqHnroIVcjoyuEWp+uNuoKY6j69esHn+tqpppbaH5R3yc1tcufP3+y5auJnJrg3XzzzXbrrbcGx6u2yavV8lMTDvWpUpMQPy1r//79dujQIZekwlOqVClXgwYA8Si9x/TPP//cNfP+6aefLCkpyR1rDxw44I7rajot+l+jRo3ga9S0zjue6//mzZtdDVFKx2fVAJUuXTpsvI7Loc2tM/IboN9A/cao2Z2nSZMm6Xq/QKwhUAIySc3T2rRpYwMGDHDZ8I4ntV3XD2Va1Oxux44d9uyzz1qVKlVc8zn9QCkQCeUPgtR87+jRo+554cKFU1y+1zb+5ZdfDgtsJKUAUK9RFicFln76QV+zZk2a7wsA4omaReu4m9pxXcke1IStR48erpmbLiCpWbWCFB3TvUAp0vHcC8RSO557x2cdh3VxLaXmf/75M/obAORkBErAMVCacN1fIrT2Qx1cFyxYEDafhhXseD8kBQoUcLU96XX99de7Pk/qw+OvrdIPoq406mqe1qNOtep3JJs2bQpLmpAeuhKotuaHDx9O9gOsRAwVK1a0devWuX5N6aH27kpuoeQT+fIlP+ToSqjW880331jlypXdOGUU/Pnnn10yCgCINwp6dKFtzJgx1qdPn2T9lNS3U/17dAFLyW3UV8lL7JMRSsajY6/SjXtJf/zHZ6Uo17FZ86UlPb8B+g1UfynVfHm1Sl5yCiCnIZkDcAyUjUg/Fups67nrrrvcj9Kjjz7qTvYVdIwePTqsiZ5+kNTpVokT0hPIKPFBp06d7LrrrnMdZ5UUQZnzPvzwQ5eFT03bvKuU+oFS0wcFHipbWlcU/ZQNSYGXAjOt55dffnHLXL16dTARhJqC6D3r/alz8Ouvv+6yM0WiTsTqFKyyKyufmm0oQ1O3bt1csKgmebpCqoQO6qisDHmqofNODAAgHilI0jHw7LPPdheTdKzVsVvHVrUEUMIFXbBS4iAFJjoOv/DCCxlej5IpKNjScrUOJcrRMkW/H1pXhw4dXCId1WJ99dVX9uCDD7rjfyRp/Qbowp5qtdQ0b9WqVfbxxx+7ZBNAjpTdnaSAnJrMwaPkBUpGEPp1mjp1qkvekD9//kDlypUDw4YNC3vNwoULA/Xr1w8ULFgw7HVpJWZQh9izzjorUKRIEdcB98wzzww8++yzgX379rl5li5dGmjUqFGgUKFCgVNOOcV1/PUnjtD6lHwiVIkSJVynYM+KFStcAgatR8kgmjdvHli7dm1w+sSJEwMNGzZ07/vEE08MtGjRItgp2Z/MQX7++edAx44dAyVLlnRJGmrVqhXo27dv4OjRo266EjrccMMNbn3qhPzUU08FzjvvPJI5AIhrmzdvDvTq1csdp3U8Pfnkk13injlz5rjpI0aMCFSoUMEdN9u0aRMYP368O77+/fffbrqO2zp+hwpNLuR54YUXAqeeeqr7TdLy7rjjjuC0pKQkN6ykD5qemJgY6Ny5c2Djxo0Rkzmk9Rvg/cbpNZqu+aZNm0YyB+RICfqT3cEaAAAAAMQS2rYAAAAAgA+BEhAD2rZt6/rqRHqoTxIAAACyFk3vgBigpA66b0VK2ZH0AAAAQNYhUAIAAAAAH5reAQAAAIAPgRIAAAAA+BAoAQAAAIAPgRIAAAAA+BAoAQBS1LJlS+vbt+9xXUfVqlVt5MiR2VoGAAD8CJQAADHt3XfftUcffdRiwa+//moJCQm2fPnyDL9Wr5sxY8ZxKRcAIPryHYdlAgAQNdxHDACQHahRAgCk6p9//rHevXtbiRIl7KSTTrKBAweadwu+v//+27p06WInnniiFSlSxNq2bWu//PJL2OunTZtmdevWtYIFC7pmdsOHD091fa+88oqVLFnSZs2aFbHpnZbxxBNPWPfu3a1YsWJWuXJle+mll8KW8dVXX1nDhg2tUKFC1qhRI1eTk96aIL2nzp07W5kyZaxw4cJ2yimn2Ouvv+6mVatWzf0//fTT3fJUNvn222/twgsvdNtH2+m8886zpUuXhpVZOnbs6F7nDd90003WoUOHsPXrvXrLlalTp1q9evVcWUqXLm2tW7e2vXv3pvk+AADHhkAJAJCqN954w/Lly2eLFi2yZ5991kaMGOGCGe9Ef/Hixfb+++/bwoULXQB1ySWX2OHDh930JUuW2DXXXGPXXnutff/99/bII4+4QGvcuHER1/XUU0/Z/fffb59++qldcMEFKZZJwZYCoGXLllnPnj2tR48etnr1ajctKSnJ2rVr54ILBStqtnffffel+/2qfKtWrbJPPvnEfvzxRxs7dqwLgETbQD7//HP7448/XLNA2b17t3Xt2tW+/PJL+/rrr11wpe2g8V4gJQq49DpvOC2a97rrrnNBocoyd+5cu+KKK4KBKgDg+KHpHQAgVYmJifbMM8+4mpBTTz3VBTwaVq2HAqQFCxZY06ZN3bwTJ05086sG5+qrr3ZBlQIeBR/yr3/9ywUhw4YNc0FWKAUzb775ps2bN8/VQKVGQYgCJO91Ks+cOXNc+SZNmuTK+vLLL7sapTp16tjvv/9ut956a7re78aNG12NkQIx8Wp/RLVMopqd8uXLB8e3atUqbBmq4VKtmN7LZZddFnydxoW+Lj2Bkmr0FBxVqVLFjVMACAA4/qhRAgCk6pxzznGBh6dJkyaueZ0CHtU0NW7cODhNAYSCFdV+iP43a9YsbHka1uuPHDkSVkOkwEY1MmkFSVK/fv3gc5VNwce2bdvcsGqWNF1Bkufss89O9/tV7dSUKVNc0717773XNeNLy9atW10gppokNb0rXry47dmzxwVdx6JBgwYu0FRwpMBT20hNAwEAxx+BEgAg2zVv3twFTm+//Xa65s+fP3/YsIKlo0ePRqUs6me1YcMG69evn23evNkFKnfffXeqr1GzO/V/UtNEBVZ6rqDx0KFDqb4uT548yZrRec0WJW/evPbZZ5+5ZoCqGRs1apQLRNevX3+M7xIAkBYCJQBAqr755puwYa8Pjk7c1SwsdPqOHTtcjY6mSe3atV3TvFAaVhM8BQGhNT4KBpSk4emnnz6m8nrNAw8ePBgcl94+QR41lVPwM2HCBHePJy9ZRIECBdz/0Now7z316dPHNQn0Elds3749WXDnf53Wo+Z1ofwJJxQEqhZu8ODBrk+WyjB9+vQMvR8AQMYRKAEAUqXmY/3793cB0OTJk12txp133umCpfbt27smZ2oyt2LFCrvhhhvs5JNPduPlrrvuctnrlFDh559/dokhRo8eHbGGRv2cPv74YxcQpHYD2rRcf/31rnbptttuc03//vvf/waDr9AmhCl5+OGH7b333rM1a9bYDz/8YB9++KEL+KRs2bIu+9zMmTNdc7tdu3a58doW6l+l9SlwVNY8zRdKfZ20LbZs2RJsPqe+TUqGMX78eNcccdCgQbZy5crga7QsBY+aR5+Dkkf8+eefwfIAAI4fAiUAQKqU/nv//v2u1qdXr14uSFIQ4mVxO/PMM13CAvVdUjMyBTte07gzzjjDNadTn5/TTjvNBSFDhgxJlsjBc+6559pHH31kDz30kAvIMkP9gz744ANXM6N+Rg8++KBbr4T2W0qJamwGDBjg+jm1aNHC1Xyp/KI+Wc8995y9+OKLVrFixWBA+Oqrr7rgR+/3xhtvdLVLCqpCqR+WmtEp2YWSRUibNm1cogv1hTrrrLNcljxt79D3Mn/+fFdTpVo4bRctR80DAQDHV0KAHKMAgDinbHzdunVzNUD+mh4AACIhPTgAIO6oKVv16tVdM0A1CVQKcd3PiSAJAJBeNL0DAMQd9QNSfyn15VH2OqXW9hIy/Pvf/7aiRYtGfGgaAABC0zsAQK6i+y0lJSVFnKY+Qf6+RQCA3IlACQAAAAB8aHoHAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAAD4ESgAAAADgQ6AEAAAAABbu/wE78ROk40MeKwAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    }
   ],
   "execution_count": 8
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "> Cherche des corrélations fortes, multicolinéarité (par ex. `no_of_week_nights` + `no_of_weekend_nights` ↔ `avg_price_per_room`), et des outliers.\n",
    "\n",
    "# 4) Prétraitement & Feature Engineering\n",
    "\n",
    "Idées :\n",
    "- Combiner `no_of_weekend_nights + no_of_week_nights` -> `total_nights`\n",
    "- Créer `total_people = no_of_adults + no_of_children`\n",
    "- Transformer `arrival_month` en cyclical features (sin/cos) si utile\n",
    "- Group rare categories in `room_type_reserved` or `market_segment_type`\n",
    "- Encodage: OneHot pour variables catégorielles à faible cardinalité, Target/Ordinal pour d'autres\n",
    "- Normalisation: StandardScaler pour modèles linéaires"
   ],
   "id": "556ba899a40dad20"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-22T08:05:46.094776Z",
     "start_time": "2025-09-22T08:05:46.083780Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# exemple de pipeline simplifié\n",
    "train = train.copy()\n",
    "train['total_nights'] = train['no_of_weekend_nights'] + train['no_of_week_nights']\n",
    "train['total_people'] = train['no_of_adults'] + train['no_of_children']\n",
    "\n",
    "# cyclical month\n",
    "train['month_sin'] = np.sin(2*np.pi*train['arrival_month']/12)\n",
    "train['month_cos'] = np.cos(2*np.pi*train['arrival_month']/12)"
   ],
   "id": "7cd3713e5e51abb9",
   "outputs": [],
   "execution_count": 11
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Sépare X / y :",
   "id": "387822d92d2f1149"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-22T08:06:25.592765Z",
     "start_time": "2025-09-22T08:06:25.584957Z"
    }
   },
   "cell_type": "code",
   "source": [
    "X = train.drop(columns=['booking_status','Booking_ID'])\n",
    "y = train['booking_status'].map({'Canceled':1, 'Not_canceled':0})"
   ],
   "id": "aa6d8d0d9de58be4",
   "outputs": [],
   "execution_count": 12
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Définir colonnes numériques et catégorielles :",
   "id": "d49af13398045b0e"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-22T08:06:49.037588Z",
     "start_time": "2025-09-22T08:06:49.027304Z"
    }
   },
   "cell_type": "code",
   "source": [
    "num_features = X.select_dtypes(include=['int64','float64']).columns.tolist()\n",
    "cat_features = X.select_dtypes(include=['object','category']).columns.tolist()"
   ],
   "id": "a07aea5084ded32e",
   "outputs": [],
   "execution_count": 13
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Pipeline exemple :",
   "id": "35021bd57d3dafbf"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-22T08:13:33.163838Z",
     "start_time": "2025-09-22T08:13:33.155293Z"
    }
   },
   "cell_type": "code",
   "source": [
    "num_transformer = Pipeline(steps=[\n",
    "    ('imputer', SimpleImputer(strategy='median')),\n",
    "    ('scaler', StandardScaler())\n",
    "])\n",
    "\n",
    "cat_transformer = Pipeline(steps=[\n",
    "    ('imputer', SimpleImputer(strategy='constant', fill_value='missing')),\n",
    "    ('onehot', OneHotEncoder(handle_unknown='ignore', sparse_output=False))\n",
    "])\n",
    "\n",
    "preprocessor = ColumnTransformer(transformers=[\n",
    "    ('num', num_transformer, num_features),\n",
    "    ('cat', cat_transformer, cat_features)\n",
    "])"
   ],
   "id": "807e025a16c8d928",
   "outputs": [],
   "execution_count": 24
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "Si tu veux utiliser SMOTE : utilise `ImbPipeline` pour inclure sur‑échantillonnage seulement sur le jeu d'entraînement.\n",
    "\n",
    "# 5) Baseline & Split"
   ],
   "id": "cede34c3f30bf406"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-22T08:14:39.436643Z",
     "start_time": "2025-09-22T08:14:39.390644Z"
    }
   },
   "cell_type": "code",
   "source": [
    "X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, stratify=y, random_state=RANDOM_STATE)\n",
    "\n",
    "# Baseline Dummy\n",
    "dummy = Pipeline(steps=[('pre', preprocessor), ('clf', DummyClassifier(strategy='most_frequent'))])\n",
    "dummy.fit(X_train, y_train)\n",
    "y_pred = dummy.predict(X_val)\n",
    "print('Dummy accuracy:', accuracy_score(y_val, y_pred))\n",
    "print(classification_report(y_val, y_pred))"
   ],
   "id": "e19fe3c651f5d9fa",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dummy accuracy: 1.0\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         1.0       1.00      1.00      1.00      1963\n",
      "\n",
      "    accuracy                           1.00      1963\n",
      "   macro avg       1.00      1.00      1.00      1963\n",
      "weighted avg       1.00      1.00      1.00      1963\n",
      "\n"
     ]
    }
   ],
   "execution_count": 28
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "# 6) Modèles & évaluation\n",
    "\n",
    "Pistes : LogisticRegression (avec `class_weight='balanced'`), RandomForest, XGBoost."
   ],
   "id": "c0e6ac20dcb92ec5"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-22T08:16:16.027920Z",
     "start_time": "2025-09-22T08:16:15.920246Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# %% Logistic Regression pipeline\n",
    "lr_pipe = Pipeline(steps=[('pre', preprocessor), ('clf', LogisticRegression(max_iter=2000, class_weight='balanced', random_state=RANDOM_STATE))])\n",
    "\n",
    "lr_pipe.fit(X_train, y_train)\n",
    "yp = lr_pipe.predict(X_val)\n",
    "print('LR accuracy:', accuracy_score(y_val, yp))\n",
    "print(classification_report(y_val, yp))\n",
    "\n",
    "# RandomForest\n",
    "rf_pipe = Pipeline(steps=[('pre', preprocessor), ('clf', RandomForestClassifier(n_estimators=200, class_weight='balanced', random_state=RANDOM_STATE))])\n",
    "rf_pipe.fit(X_train, y_train)\n",
    "yp_rf = rf_pipe.predict(X_val)\n",
    "print('RF accuracy:', accuracy_score(y_val, yp_rf))\n",
    "print(classification_report(y_val, yp_rf))\n",
    "\n",
    "# XGBoost (si disponible)\n",
    "if has_xgb:\n",
    "    xgb_clf = xgb.XGBClassifier(use_label_encoder=False, eval_metric='logloss', random_state=RANDOM_STATE)\n",
    "    xgb_pipe = Pipeline(steps=[('pre', preprocessor), ('clf', xgb_clf)])\n",
    "    xgb_pipe.fit(X_train, y_train)\n",
    "    yp_xgb = xgb_pipe.predict(X_val)\n",
    "    print('XGB accuracy:', accuracy_score(y_val, yp_xgb))\n",
    "    print(classification_report(y_val, yp_xgb))"
   ],
   "id": "85dbe897dee3bc10",
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "This solver needs samples of at least 2 classes in the data, but the data contains only one class: np.float64(1.0)",
     "output_type": "error",
     "traceback": [
      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
      "\u001B[31mValueError\u001B[39m                                Traceback (most recent call last)",
      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[33]\u001B[39m\u001B[32m, line 4\u001B[39m\n\u001B[32m      1\u001B[39m \u001B[38;5;66;03m# %% Logistic Regression pipeline\u001B[39;00m\n\u001B[32m      2\u001B[39m lr_pipe = Pipeline(steps=[(\u001B[33m'\u001B[39m\u001B[33mpre\u001B[39m\u001B[33m'\u001B[39m, preprocessor), (\u001B[33m'\u001B[39m\u001B[33mclf\u001B[39m\u001B[33m'\u001B[39m, LogisticRegression(max_iter=\u001B[32m2000\u001B[39m, class_weight=\u001B[33m'\u001B[39m\u001B[33mbalanced\u001B[39m\u001B[33m'\u001B[39m, random_state=RANDOM_STATE))])\n\u001B[32m----> \u001B[39m\u001B[32m4\u001B[39m \u001B[43mlr_pipe\u001B[49m\u001B[43m.\u001B[49m\u001B[43mfit\u001B[49m\u001B[43m(\u001B[49m\u001B[43mX_train\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43my_train\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m      5\u001B[39m yp = lr_pipe.predict(X_val)\n\u001B[32m      6\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33m'\u001B[39m\u001B[33mLR accuracy:\u001B[39m\u001B[33m'\u001B[39m, accuracy_score(y_val, yp))\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\PycharmProjects\\ENI-hotel\\.venv\\Lib\\site-packages\\sklearn\\base.py:1365\u001B[39m, in \u001B[36m_fit_context.<locals>.decorator.<locals>.wrapper\u001B[39m\u001B[34m(estimator, *args, **kwargs)\u001B[39m\n\u001B[32m   1358\u001B[39m     estimator._validate_params()\n\u001B[32m   1360\u001B[39m \u001B[38;5;28;01mwith\u001B[39;00m config_context(\n\u001B[32m   1361\u001B[39m     skip_parameter_validation=(\n\u001B[32m   1362\u001B[39m         prefer_skip_nested_validation \u001B[38;5;129;01mor\u001B[39;00m global_skip_validation\n\u001B[32m   1363\u001B[39m     )\n\u001B[32m   1364\u001B[39m ):\n\u001B[32m-> \u001B[39m\u001B[32m1365\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mfit_method\u001B[49m\u001B[43m(\u001B[49m\u001B[43mestimator\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\PycharmProjects\\ENI-hotel\\.venv\\Lib\\site-packages\\sklearn\\pipeline.py:663\u001B[39m, in \u001B[36mPipeline.fit\u001B[39m\u001B[34m(self, X, y, **params)\u001B[39m\n\u001B[32m    657\u001B[39m     \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m._final_estimator != \u001B[33m\"\u001B[39m\u001B[33mpassthrough\u001B[39m\u001B[33m\"\u001B[39m:\n\u001B[32m    658\u001B[39m         last_step_params = \u001B[38;5;28mself\u001B[39m._get_metadata_for_step(\n\u001B[32m    659\u001B[39m             step_idx=\u001B[38;5;28mlen\u001B[39m(\u001B[38;5;28mself\u001B[39m) - \u001B[32m1\u001B[39m,\n\u001B[32m    660\u001B[39m             step_params=routed_params[\u001B[38;5;28mself\u001B[39m.steps[-\u001B[32m1\u001B[39m][\u001B[32m0\u001B[39m]],\n\u001B[32m    661\u001B[39m             all_params=params,\n\u001B[32m    662\u001B[39m         )\n\u001B[32m--> \u001B[39m\u001B[32m663\u001B[39m         \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_final_estimator\u001B[49m\u001B[43m.\u001B[49m\u001B[43mfit\u001B[49m\u001B[43m(\u001B[49m\u001B[43mXt\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43my\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mlast_step_params\u001B[49m\u001B[43m[\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mfit\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m    665\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\PycharmProjects\\ENI-hotel\\.venv\\Lib\\site-packages\\sklearn\\base.py:1365\u001B[39m, in \u001B[36m_fit_context.<locals>.decorator.<locals>.wrapper\u001B[39m\u001B[34m(estimator, *args, **kwargs)\u001B[39m\n\u001B[32m   1358\u001B[39m     estimator._validate_params()\n\u001B[32m   1360\u001B[39m \u001B[38;5;28;01mwith\u001B[39;00m config_context(\n\u001B[32m   1361\u001B[39m     skip_parameter_validation=(\n\u001B[32m   1362\u001B[39m         prefer_skip_nested_validation \u001B[38;5;129;01mor\u001B[39;00m global_skip_validation\n\u001B[32m   1363\u001B[39m     )\n\u001B[32m   1364\u001B[39m ):\n\u001B[32m-> \u001B[39m\u001B[32m1365\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mfit_method\u001B[49m\u001B[43m(\u001B[49m\u001B[43mestimator\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\PycharmProjects\\ENI-hotel\\.venv\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:1335\u001B[39m, in \u001B[36mLogisticRegression.fit\u001B[39m\u001B[34m(self, X, y, sample_weight)\u001B[39m\n\u001B[32m   1333\u001B[39m classes_ = \u001B[38;5;28mself\u001B[39m.classes_\n\u001B[32m   1334\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m n_classes < \u001B[32m2\u001B[39m:\n\u001B[32m-> \u001B[39m\u001B[32m1335\u001B[39m     \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\n\u001B[32m   1336\u001B[39m         \u001B[33m\"\u001B[39m\u001B[33mThis solver needs samples of at least 2 classes\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m   1337\u001B[39m         \u001B[33m\"\u001B[39m\u001B[33m in the data, but the data contains only one\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m   1338\u001B[39m         \u001B[33m\"\u001B[39m\u001B[33m class: \u001B[39m\u001B[38;5;132;01m%r\u001B[39;00m\u001B[33m\"\u001B[39m % classes_[\u001B[32m0\u001B[39m]\n\u001B[32m   1339\u001B[39m     )\n\u001B[32m   1341\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(\u001B[38;5;28mself\u001B[39m.classes_) == \u001B[32m2\u001B[39m:\n\u001B[32m   1342\u001B[39m     n_classes = \u001B[32m1\u001B[39m\n",
      "\u001B[31mValueError\u001B[39m: This solver needs samples of at least 2 classes in the data, but the data contains only one class: np.float64(1.0)"
     ]
    }
   ],
   "execution_count": 33
  }
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