tutorial/data_drift/tutorial02-datadrift-high-datadrift.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9d6173eb",
   "metadata": {},
   "source": [
    "# Detect High Data Drift \n",
    "<b>With this tutorial you:</b><br />\n",
    "Understand how to use Eurybia to detect datadrift\n",
    "\n",
    "Contents:\n",
    "- Detect data drift  \n",
    "- Compile Drift over years\n",
    "\n",
    "This public dataset comes from :\n",
    "\n",
    "https://www.kaggle.com/sobhanmoosavi/us-accidents/version/10\n",
    "\n",
    "---\n",
    "Acknowledgements\n",
    "- Moosavi, Sobhan, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, and Rajiv Ramnath. “A Countrywide Traffic Accident Dataset.”, 2019.\n",
    "- Moosavi, Sobhan, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, and Rajiv Ramnath. \"Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights.\" In proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, 2019.\n",
    "---\n",
    "\n",
    "In this tutorial, the data are not loaded raw, a data preparation to facilitate the use of the tutorial has been done. You can find it here : \n",
    "https://github.com/MAIF/eurybia/blob/master/eurybia/data/dataprep_US_car_accidents.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d83e6e7f",
   "metadata": {},
   "source": [
    "**Requirements notice** : the following tutorial may use third party modules not included in Eurybia.  \n",
    "You can find them all in one file [on our Github repository](https://github.com/MAIF/eurybia/blob/master/requirements.dev.txt) or you can manually install those you are missing, if any."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9aba586c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from category_encoders import OrdinalEncoder\n",
    "import catboost\n",
    "from eurybia import SmartDrift\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import metrics\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bc05d7f",
   "metadata": {},
   "source": [
    "## Import Dataset and split in training and production dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "391f650d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from eurybia.data.data_loader import data_loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f20754e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_car_accident = pd.read_csv('../../eurybia/data/US_Accidents_extract.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8ed3eb88",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Start_Lat</th>\n",
       "      <th>Start_Lng</th>\n",
       "      <th>Distance(mi)</th>\n",
       "      <th>Temperature(F)</th>\n",
       "      <th>Humidity(%)</th>\n",
       "      <th>Visibility(mi)</th>\n",
       "      <th>Wind_Direction</th>\n",
       "      <th>Weather_Condition</th>\n",
       "      <th>day_of_week_acc</th>\n",
       "      <th>Nautical_Twilight</th>\n",
       "      <th>season_acc</th>\n",
       "      <th>cible</th>\n",
       "      <th>year_acc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37.5</td>\n",
       "      <td>-122.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.112071</td>\n",
       "      <td>Fair</td>\n",
       "      <td>3</td>\n",
       "      <td>Day</td>\n",
       "      <td>autumn</td>\n",
       "      <td>0</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>33.4</td>\n",
       "      <td>-112.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.175655</td>\n",
       "      <td>Fair</td>\n",
       "      <td>5</td>\n",
       "      <td>Night</td>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>28.0</td>\n",
       "      <td>-82.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.172628</td>\n",
       "      <td>Cloudy</td>\n",
       "      <td>1</td>\n",
       "      <td>Night</td>\n",
       "      <td>autumn</td>\n",
       "      <td>0</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33.1</td>\n",
       "      <td>-117.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.195514</td>\n",
       "      <td>Fair</td>\n",
       "      <td>0</td>\n",
       "      <td>Night</td>\n",
       "      <td>winter</td>\n",
       "      <td>0</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39.8</td>\n",
       "      <td>-86.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.145093</td>\n",
       "      <td>Fair</td>\n",
       "      <td>6</td>\n",
       "      <td>Day</td>\n",
       "      <td>winter</td>\n",
       "      <td>0</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Start_Lat  Start_Lng  Distance(mi)  Temperature(F)  Humidity(%)  \\\n",
       "0       37.5     -122.3           0.0            73.0         44.0   \n",
       "1       33.4     -112.6           0.0            59.0         55.0   \n",
       "2       28.0      -82.3           1.0            77.0         89.0   \n",
       "3       33.1     -117.3           1.0            69.0         11.0   \n",
       "4       39.8      -86.0           0.0            43.0         81.0   \n",
       "\n",
       "   Visibility(mi)  Wind_Direction Weather_Condition  day_of_week_acc  \\\n",
       "0            10.0        0.112071              Fair                3   \n",
       "1            10.0        0.175655              Fair                5   \n",
       "2            10.0        0.172628            Cloudy                1   \n",
       "3            10.0        0.195514              Fair                0   \n",
       "4            10.0        0.145093              Fair                6   \n",
       "\n",
       "  Nautical_Twilight season_acc  cible  year_acc  \n",
       "0               Day     autumn      0      2020  \n",
       "1             Night     spring      0      2020  \n",
       "2             Night     autumn      0      2020  \n",
       "3             Night     winter      0      2020  \n",
       "4               Day     winter      0      2020  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_car_accident.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e2c4a06a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(31935, 13)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_car_accident.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a696ca4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let us consider that the column \"year_acc\" corresponds to the reference date. \n",
    "#In 2016, a model was trained using data. And in next years, we want to detect data drift on new data in production to predict\n",
    "df_accident_baseline = df_car_accident.loc[df_car_accident['year_acc'] == 2016]\n",
    "df_accident_2017 = df_car_accident.loc[df_car_accident['year_acc'] == 2017]\n",
    "df_accident_2018 = df_car_accident.loc[df_car_accident['year_acc'] == 2018]\n",
    "df_accident_2019 = df_car_accident.loc[df_car_accident['year_acc'] == 2019]\n",
    "df_accident_2020 = df_car_accident.loc[df_car_accident['year_acc'] == 2020]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "eb0e855a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>cible</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year_acc</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>71.331283</td>\n",
       "      <td>28.668717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>68.273017</td>\n",
       "      <td>31.726983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>66.641250</td>\n",
       "      <td>33.358750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>79.600182</td>\n",
       "      <td>20.399818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>90.525000</td>\n",
       "      <td>9.475000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "cible             0          1\n",
       "year_acc                      \n",
       "2016      71.331283  28.668717\n",
       "2017      68.273017  31.726983\n",
       "2018      66.641250  33.358750\n",
       "2019      79.600182  20.399818\n",
       "2020      90.525000   9.475000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#We will train a classification model to predict the severity of an accident. 0 for a less severe accident and 1 for a severe accident.\n",
    "#Let's check percentage in class 0 and 1\n",
    "pd.crosstab(df_car_accident.year_acc, df_car_accident.cible, normalize = 'index')*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a0c9e6b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_df_learning=df_accident_baseline['cible'].to_frame()\n",
    "X_df_learning=df_accident_baseline[df_accident_baseline.columns.difference(['cible','year_acc'])]\n",
    "\n",
    "y_df_2017=df_accident_2017['cible'].to_frame()\n",
    "X_df_2017=df_accident_2017[df_accident_2017.columns.difference(['cible','year_acc'])]\n",
    "\n",
    "y_df_2018=df_accident_2018['cible'].to_frame()\n",
    "X_df_2018=df_accident_2018[df_accident_2018.columns.difference(['cible','year_acc'])]\n",
    "\n",
    "y_df_2019=df_accident_2019['cible'].to_frame()\n",
    "X_df_2019=df_accident_2019[df_accident_2019.columns.difference(['cible','year_acc'])]\n",
    "\n",
    "y_df_2020=df_accident_2020['cible'].to_frame()\n",
    "X_df_2020=df_accident_2020[df_accident_2020.columns.difference(['cible','year_acc'])]\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8e0347a",
   "metadata": {},
   "source": [
    "## Building Supervized Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7ca4fe9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "features = ['Start_Lat', 'Start_Lng', 'Distance(mi)', 'Temperature(F)',\n",
    "       'Humidity(%)', 'Visibility(mi)', 'Wind_Direction',\n",
    "       'Weather_Condition', 'day_of_week_acc', 'Nautical_Twilight',\n",
    "       'season_acc']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75deda6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "features_to_encode = [col for col in X_df_learning[features].columns if X_df_learning[col].dtype not in ('float64','int64')]\n",
    "\n",
    "encoder = OrdinalEncoder(cols=features_to_encode)\n",
    "encoder = encoder.fit(X_df_learning[features])\n",
    "\n",
    "X_df_learning_encoded=encoder.transform(X_df_learning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8de8fb2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "Xtrain, Xtest, ytrain, ytest = train_test_split(X_df_learning_encoded, y_df_learning, train_size=0.75, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c17eff5a",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_pool_cat = catboost.Pool(data=Xtrain, label= ytrain, cat_features = features_to_encode)\n",
    "test_pool_cat = catboost.Pool(data=Xtest, label= ytest, cat_features = features_to_encode)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "b2928f7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "10053039f6504cbb9583d730538d03b8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "MetricVisualizer(layout=Layout(align_self='stretch', height='500px'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = catboost.CatBoostClassifier(loss_function= \"Logloss\", eval_metric=\"Logloss\",\n",
    "                                    learning_rate=0.143852,\n",
    "                                    iterations=300,\n",
    "                                    l2_leaf_reg=15,\n",
    "                                    max_depth = 4,\n",
    "                                    use_best_model=True,\n",
    "                                    custom_loss=['Accuracy', 'AUC', 'Logloss'])\n",
    "\n",
    "model = model.fit(train_pool_cat, plot=True,eval_set=test_pool_cat, verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3c3bf091",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7689429564506236\n"
     ]
    }
   ],
   "source": [
    "proba = model.predict_proba(Xtest)\n",
    "print(metrics.roc_auc_score(ytest,proba[:,1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "339d1083",
   "metadata": {},
   "source": [
    "## Use Eurybia for data validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "979f27b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from eurybia import SmartDrift"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bcb4b433",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_2017,\n",
    "                df_baseline=X_df_learning,\n",
    "                deployed_model=model, # Optional: put in perspective result with importance on deployed model\n",
    "                encoding=encoder # Optional: if deployed_model and encoder to use this model\n",
    "               )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f0a4fa1a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 6 µs, sys: 2 µs, total: 8 µs\n",
      "Wall time: 16.9 µs\n",
      "The computed AUC on the X_test used to build datadrift_classifier is equal to: 0.6459837259371833\n",
      "car_accident_auc.csv did not exist and is created. \n"
     ]
    }
   ],
   "source": [
    "%time \n",
    "SD.compile(full_validation=True, # Optional: to save time, leave the default False value. If True, analyze consistency on modalities between columns.\n",
    "           date_compile_auc = '01/01/2017', # Optional: useful when computing the drift for a time that is not now\n",
    "           datadrift_file = \"car_accident_auc.csv\" # Optional: name of the csv file that contains the performance history of data drift\n",
    "          )\n",
    "                 "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e097974",
   "metadata": {},
   "source": [
    "As soon as compile() method, Eurybia displays default consistency checks as warnings.<br />\n",
    "If some modalities are not present during training and are in production dataset, the deployed model will consider them wrongly.<br />\n",
    "Inversely, if some modalities are present during training and are not in production dataset, it means that some profiles are missing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f2d88c1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Report saved to ./report_car_accident_datadrift_2017.html. To upload and share your report, create a free Datapane account by running `!datapane signup`."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.generate_report(    \n",
    "    output_file='report_car_accident_datadrift_2017.html',    \n",
    "    title_story=\"Data drift\",\n",
    "    title_description=\"\"\"Car accident Data drift 2017\"\"\", # Optional: add a subtitle to describe report\n",
    "    project_info_file=\"../../eurybia/data/project_info_car_accident.yml\" # Optional: add information on report\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afc893f8",
   "metadata": {},
   "source": [
    "Eurybia is designed to generate an HTML report for analysis, and less for use in notebook mode. \n",
    "However, to illustrate functionalities, we will detail results with notebook mode analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1762e71a",
   "metadata": {},
   "source": [
    "## First Analysis of results of the data drift"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9de8d0a",
   "metadata": {},
   "source": [
    "Data driftn methodology is based on the ability of a model to discriminate whether an individual belongs to one of the two datasets.\n",
    "For this purpose a target 0 is assigned to the baseline dataset and a target 1 to the current dataset.\n",
    "Then a classification model (catboost) is learned to predict this target.\n",
    "The level of capacity of the data drift classifier to detect if an individual belongs to one of the 2 datasets represents the level of difference between the 2 datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d4baec4",
   "metadata": {},
   "source": [
    "### Detection data drift performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2c3ecafd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Performance of datadrift classifier\n",
    "SD.plot.generate_indicator(fig_value=SD.auc, height=300, width=500, title=\"Datadrift classifier AUC\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "117022c4",
   "metadata": {},
   "source": [
    "An Auc close to 0.5 means that there is little drift"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c0dd1a7",
   "metadata": {},
   "source": [
    "### Importance of features in data drift"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89ea4277",
   "metadata": {},
   "source": [
    "This graph represents the variables in the data drift classification model that are most important to differentiate between the two datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "61fc4a71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.xpl.plot.features_importance()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "723800cd",
   "metadata": {},
   "source": [
    "We get the features with most gaps, those that are most important to analyse.\n",
    "With date bias introduced, it is normal that date features are the most impacted. We will then decide to remove them.\n",
    "Let's analyse other important variables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5776d01b",
   "metadata": {},
   "source": [
    "### Feature importance overview"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19ff31b6",
   "metadata": {},
   "source": [
    "This graph compares the importance of variables between the data drift classifier model and the deployed model. This allows us to put into perspective the importance of data drift in relation to the impacts to be expected on the deployed model. If the variable is at the top left, it means that the variable is very important for data drift classification, but that the variable has little influence on the deployed model. If the variable is at the bottom right, it means that the variable has little importance for data drift classification, and that the variable has a lot of influence on the deployed model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e0738fdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.scatter_feature_importance() # works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d98c9275",
   "metadata": {},
   "source": [
    "Putting importance of the drift into perspective according to the importance of the model to be deployed, can help the data scientist to validate that his model can be deployed. <br />\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e52eefc9",
   "metadata": {},
   "source": [
    "### Univariate analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "707c0073",
   "metadata": {},
   "source": [
    "This graphs shows a particular feature's distribution over its possible values. In the drop-down menu, the variables are sorted by importance of the variables in the data drift classification. For categorical features, the possible values are sorted by descending difference between the two datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ee7e5803",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate('season_acc')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fadad70",
   "metadata": {},
   "source": [
    "### Distribution of predicted values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd14d06a",
   "metadata": {},
   "source": [
    "This graph shows distributions of the production model outputs on both baseline and current datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "aa78bacc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate(df_all=SD.df_predict,col='Score',hue=\"dataset\") # works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b800780c",
   "metadata": {},
   "source": [
    "Jensen Shannon Divergence (JSD). The JSD measures the effect of a data drift on the deployed model performance. A value close to 0 indicates similar data distributions, while a value close to 1 tend to indicate distinct data distributions with a negative effect on the deployed model performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "cbd93ddd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_indicator(\n",
    "                fig_value=SD.js_divergence,\n",
    "                height=280,\n",
    "                width=500,\n",
    "                title=\"Jensen Shannon Datadrift\",\n",
    "                min_gauge=0,\n",
    "                max_gauge=0.2,\n",
    "            ) #works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "192ce6b6",
   "metadata": {},
   "source": [
    "## Compile Drift over years"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76890d30",
   "metadata": {},
   "source": [
    "### Compile Drift et generate report for Year 2018"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "cedd36b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_2018,\n",
    "                df_baseline=X_df_learning,\n",
    "                deployed_model=model, # Optional: put in perspective result with importance on deployed model\n",
    "                encoding=encoder # Optional: if deployed_model and encoder to use this model\n",
    "               )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "56954c52",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The computed AUC on the X_test used to build datadrift_classifier is equal to: 0.6911612512986636\n"
     ]
    }
   ],
   "source": [
    "SD.compile(full_validation=True, # Optional: to save time, leave the default False value. If True, analyze consistency on modalities between columns.\n",
    "           date_compile_auc = '01/01/2018', # Optional: useful when computing the drift for a time that is not now\n",
    "           datadrift_file = \"car_accident_auc.csv\" # Optional: name of the csv file that contains the performance history of data drift\n",
    "          )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17c9fb32",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ffd89494",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_historical_datadrift_metric() # works if date_compile_auc and/or datadrift_file are filled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b54f3c39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate(df_all=SD.df_predict,col='Score',hue=\"dataset\") # works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8a34f826",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_indicator(\n",
    "                fig_value=SD.js_divergence,\n",
    "                height=280,\n",
    "                width=500,\n",
    "                title=\"Jensen Shannon Datadrift\",\n",
    "                min_gauge=0,\n",
    "                max_gauge=0.2,\n",
    "            ) # works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9de0ccc4",
   "metadata": {},
   "source": [
    "------"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2368d89a",
   "metadata": {},
   "source": [
    "### Compile Drift et generate report for Year 2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "5889552c",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_2019,\n",
    "                df_baseline=X_df_learning,\n",
    "                deployed_model=model, # Optional: put in perspective result with importance on deployed model\n",
    "                encoding=encoder # Optional: if deployed_model and encoder to use this model\n",
    "               )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "dfb1ac16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The computed AUC on the X_test used to build datadrift_classifier is equal to: 0.9131375742708316\n"
     ]
    }
   ],
   "source": [
    "SD.compile(full_validation=True, # Optional: to save time, leave the default False value. If True, analyze consistency on modalities between columns.\n",
    "           date_compile_auc = '01/01/2019', # Optional: useful when computing the drift for a time that is not now\n",
    "           datadrift_file = \"car_accident_auc.csv\" # Optional: name of the csv file that contains the performance history of data drift\n",
    "          )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5a71d951",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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eR+F02xMtCQXC5O6lo/Un992c2n6nVyBMzie5/vF1BBBAwNMECISedkfpDwIIpEggJdtOJLYQjE4X1fcFr169GnPt+NtFxG7U7du3TUDQxWcSK7pypK4gGb8kFcq0Xh0l1GCZUOnatavMnTvXfCl+INSRRQ0X0dHRcU4tXry42Q9OS3LXTm2f0jIQOmLtaCDU6btqpoE8odKuXTv58ssvzZdiB0IdzdX7v3PnzgTP02nJ+k7hr7/+mmAgTO5eOlp/ct9gqe13egXC5HyS6x9fRwABBDxNgEDoaXeU/iCAQIoEnBEI9YKxV22sWbOm6D6ESRUNkbrwjI746CqluhiMjhJWq1bNLLdfo0aNBE9PKpTpCfphXN870z3qdKsCXYhE90Ls0qWL5MuXL2aD9PiBUM/VqYi6IM2BAwckJCTEhEN7A6Gen9o+pWUgdKRdjgZCvbbe1y+++ELWrl1rRvgyZcok5cuXFw2DFStWFNuqqvFXGQ0LCzPTRnU7Ez1P96vUUVsd9dX3B8eOHWumJCc0QmjPvXS0/uS+yVLbb3ueheR+OWHPfUvuWU+uf3wdAQQQ8CQBAqEn3U36ggACCCCAAAIIIIAAAgikQIBAmAIsDkUAAQQQQAABBBBAAAEEPEmAQOhJd5O+IIAAAggggAACCCCAAAIpECAQpgCLQxFAAAEEEEAAAQQQQAABTxIgEHrS3aQvCCCAAAIIIIAAAggggEAKBAiEKcDiUAQQQAABBBBAAAEEEEDAkwQIhJ50N+kLAggggAACCCCAAAIIIJACAQJhCrA4FAEEEEAAAQQQQAABBBDwJAECoSfdTfqCAAIIIIAAAggggAACCKRAgECYAiwORQABBBBAAAEEEEAAAQQ8SYBA6El3k74ggAACCCCAAAIIIIAAAikQIBCmAItDEUAAAQQQQAABBBBAAAFPEiAQetLdpC8IIIAAAggggAACCCCAQAoECIQpwOJQBBBAAAEEEEAAAQQQQMCTBAiEnnQ36QsCCCCAAAIIIIAAAgggkAIBAmEKsDgUAQQQQAABBBBAAAEEEPAkAQKhJ91N+oIAAggggAACCCCAAAIIpECAQJgCLA5FAAEEEEAAAQQQQAABBDxJgEDoSXeTviCAAAIIIIAAAggggAACKRAgEKYAi0MRQAABBBBAAAEEEEAAAU8SIBB60t2kLwgggAACCCCAAAIIIIBACgQIhCnA4lAEEEAAAQQQQAABBBBAwJMECISedDfpCwIIIIAAAggggAACCCCQAgECYQqwOBQBBBBAAAEEEEAAAQQQ8CQBAqEn3U36ggACCCCAAAIIIIAAAgikQIBAmAIsDkUAAQQQQAABBBBAAAEEPEmAQOhJd5O+IIAAAggggAACCCCAAAIpECAQJoO1c+dOWbBggRw6dEjy5Mkjc+fOTQEvhyKAAAIIIICAKwTu3LkjEydOlC1btkiWLFmkffv2EhwcnGBT9u/fL1OmTJHTp0+br1esWFFeffVVKVy4sCuazjURQACBdBUgECbDvW/fPjl37pxcvXpVfvjhBwJhuj6eXAwBBBBAAIHUCWgYPHv2rIwYMUJOnTolw4cPlzFjxkiVKlXuq/DSpUty7do1yZ8/v0RGRspXX30l+v//kydPTt3FOQsBBBBwIwECoZ03a9OmTSYMMkJoJxiHIYAAAggg4CIBDXXNmzeX9957T6pWrWpa8eGHH5o/Bw4cmGSroqOjZfny5fLll1/K119/7aIecFkEEEAg/QQIhHZaEwjthOIwBBBAAAEEXCxw5swZ6dKli6xYsUKCgoJMa/S/N2zYkOioX0hIiHTr1k1CQ0MlLCxMevXqJS1btnRxT7g8AgggkPYCBEI7jQmEdkJxGAIIIIAAAi4WOHz4sPTu3VvWrVsnPj4+pjXr16+XJUuWyKxZsxJsnY4M6rTR69evy9q1a6VOnTpSo0YNF/eEyyOAAAJpL0AgtNOYQGgnFIchgAACCCDgYoHUjBDGbrIGw65du8rixYslMDDQxb3h8ggggEDaChAI7fQlENoJxWEIIIAAAgi4WEDfIWzWrJmMGzdOKleubFqji8zoKGBy7xDqsbqQXOvWrWXhwoWSL18+F/eGyyOAAAJpK0AgTMY3KirKrDi2efNmmTdvnsycOdNMP/H390/bO0PtCCCAAAIIIJBqAV1E5uLFi2aVUd1OYujQoTJ69Gizyqj+uy4c07NnT/H19ZVff/1VcuTIISVKlJAbN27IZ599JidOnJDPP/881dfnRAQQQMBdBAiEydwp3YdwyJAhcY4qX7682a+IggACCCCAAALWFIi9D6EuLNOhQ4eYfQh1S4m+ffvKmjVrJEOGDOb9Ql1V9MKFC5I5c2YzqqhhkX0IrXlvaRUCCDhXgEDoXE9qQwABBBBAAAEEEEAAAQTcRoBA6Da3ioYigAACCCCAAAIIIIAAAs4VIBA615PaEEAAAQQQQAABBBBAAAG3ESAQus2toqEIIIAAAggggAACCCCAgHMFCITO9aQ2BBBAAAEEEEAAAQQQQMBtBAiEbnOraCgCCCCAAAIIIOA9AjNmzDCrwPbo0SPBTq9du9ZsGaLbiWg5f/68vPvuu3LmzBnp0qWL2YsytaV9+/by1ltvSdmyZVNbRaLnjR8/XkqWLCmtWrUyxyxatEi++eYb8fPzE/2aroC7YsUKp1+XChFITIBAyLOBAAIIIIAAAgggEEdAt9f67rvvzL8FBARI/vz55aGHHpJ27dpJ1qxZ7dJq06aNvPPOO6kOVckFwpMnT8q5c+ekdu3apj3Tp083e0W/9NJL5u+OXD8tA+GuXbskW7Zs8p///EdCQkKM6YIFCyR79uzm77/88kvMFil2QdtxkO6lPX/+fLNtmm6fZitLly6V7du3myAauwQHB8vYsWPNFixajhw5Yvbl3Lt3r9y7d0+KFy8uTZs2lQYNGthxdQ6xugCB0Op3iPYhgAACCCCAAAIJCNy8GyHr/r0gp6/dlYqFssnTFfM7zUmDQ1hYmPTv319u374tx48fl7lz58rVq1dl2rRpons7JlccCWRad1KBUEOJjh7GLm+//bY8+OCD0qhRI0sHwthtPnbsmAwbNkwWL16cHGeyX0/IRE+Kjo6WTp06mfv4xBNPmBHIlARCDYP9+vWTxo0bS5MmTSRPnjxy+PBhWbhwoQmNFPcXIBC6/z2kBwgggAACCCDgZQKnrt2Vxh9vkpuhkTE9r1Mqtyx+sY5TJDQQhoeHy8CBA2PqCw0NNVMxW7RoIS+88IKcOHFCPvroI9FQ4+/vL3Xr1pWXX37Z/PfkyZPlhx9+kBw5cpipkHqehhGd3vnPP/9IZGSkVKhQwQTOfPnymWtofRMmTJBTp05JlSpVJGfOnGbUTKeMrly5Uv744w8zsnbgwAHThowZM8ZMGdURro0bN5rRzEyZMkmlSpXM32NfP6HRrHXr1smSJUvk4sWLJugMGjTInBt7hHDTpk1mdE2npGp7dKqnjo5puXv3rmnz7t27TfAqVKiQfPjhhxIYGCg6Kvf9998bR23H0KFDzeicbcpojRo15I033pDr16+ba2vRUKfOtimj165dk08++UT27Nlj+qb9btmypTk2IRMd2Ytf/vrrL3PtAQMGmDCv/dV7pMWeEUINrDoqPHz48DhVa391RJbi/gIEQve/h/QAAQQQQAABBNxcYNXec3LgfIjdvfjjyBXZdvzqfce3faiY5MsaYHc9jasWlLL5758CmlAg1EonTpwoGlL0XT0dNbxx44YJUPrniBEjpH79+vL888+b68cfIYyIiDDTIR999FHzdQ06ep7WFRUVJd26dZNnnnnGhM2dO3fKm2++aQKQLRBqmz744AOpWrWqCV8a5mK/Q6jv/On0UXtHCDVgan90ZFHD6YULF0w7NNTFDoQ7duwwobVo0aImjA4ZMsSEQH2/UAOVBlwNdjpiqSNn+n6ghmStd+rUqSYMapjUr+fNmzcmEGqw1NE3Pdc2QqjTYG3vEGofX3vtNePbtWtX467X7t27t+mnBsL4JgkFNDXT4KrBTm01GGp4tycQVqxY0YwMjhw5Uh5++GG7nysOdC8BAqF73S9aiwACCCCAAAIeKPDqlzvl+7/O2d+zaBFJYHAmkX9OtN4pbWtIcLVC9309sUD4xRdfmNGwSZMm3XeOLvLy+++/myCUUCCMf4KGJH3fT0fD9u/fb0agvv76a/H19TWHalDScGULhOvXrzcjj7YSf1GZlAZCDZwaeDS4xi9JvUOoI3ylS5c2YXX58uVmJLJPnz7mnUBb0aCn4U37pKOdthE5/XrsRWWSCoT6NQ1veg2biVodPHhQBg8ebAJhfJP4/dDRRg2B2pZHHnnE3DcNlvpupz2BUP11cR4NtmmxwI79DzxHpqUAgTAtdakbAQQQQAABBBCwQ8CdRgh1iqMGCn2fUN/z27dvn5kCqlMjdRTNFhbjjxDq6Ju+h/jbb7+ZESsdzbp06ZJosNPROp2W+emnn8Zo6QiiTr20BUIdNdTQ56xAqGFUF3R57LHHkgyE2j9tt65eqkUXftEwqNNgtc/abh351P9u2LCh+XcNcGvWrDGh7fTp01KnTh0zsqejhfYGQg3XOsVWF/SxFXXW4Dlq1ChTd3yT+B356aefzEjsV199ZUKpTh/VMKkjktqWZcuWyebNm81Iaezy7LPPmn8rV64cI4R2fP+6+yEEQne/g7QfAQQQQAABBLxOQN8hbPTxJgmJ9Q5h7ZK5ZEmv/zrFIrF3CHXqooYhne6oC4pkyZJFXnzxRfN+m45W6XuD+l6hFg1bGlxsI0urVq2S1atXmymiGkb0vT0didPgdOjQIXNs7MVV9LiCBQumOhDGv358GHtHCNu2bWva8OSTT5qgp1Mwc+fObaZxxi463VNHBDVo2qZk6td1WqxOMdW+vPLKK3YHQp1+qtM8NcwlNBXUnkCoI4P6/mHslWE10Ou7ns2bNzdhUFdn1QVibEVDutrpu4a5cuUybdB3N/XP2IV3CJ3yrWaJSgiElrgNNAIBBBBAAAEEEEiZgK4yulZXGb16x6wy2rBSgZRVkMTR8VcZ1QVfdLqohgXbKqP6zuADDzxggoVOTdTAoCHBFgg1dGhw1CClxfa+nQY/LTq6qFNENRBq4NGA1bNnTxOmdDSuV69eZrpiakcI418/fnd1VFJHM3WKqy72ou8Qavs1uNmmjJYpU8YsIKN9KlWqlHkXUOvVxVu0vbqFhL5fqO8d3rx507zzp4GwQIECZlVPrVdHRnVUUBeO0T7ZO0Ko5+nqnrr1Q8eOHU3o1gV3dHRV600uEF6+fNkEuzFjxpi224qOCv75558mCGobdURTF6rRPul91H/XaaW6OI4WDaa6+I9+Xd8n1DDMKqNO+1azREUEQkvcBhqBAAIIIIAAAghYRyD2PoQ61VADjm0fQh0t0qLvuOnIl67qqdtQaHjSgGQLhDr6pO+eaYDRUcTHH39c3nvvPTPVVFcQ1WmUOp1RA6EuuKILsWhA01E4HZnS6aL6Z2oDYfzr2xabia2s19YROA26uuCLrjKq7xXGfodww4YNZp9ADULaHg2vOo1TA6GOeurG8joKmDlzZnn66afNv+s7kR9//LGcPXvWTNWsVq2aCVU6UmdvINR2ajDTabQ6NVQX5dEpuZ07d5ZatWolGwh1tFXfb9SAF7tcuXLFBEWtV98R1NFZDeca8rSt1atXN6FW+2sreq912uzff//NPoTW+TZ1WksIhE6jpCIEEEAAAQQQQAABBBBAwL0ECITudb9oLQIIIIAAAggggAACCCDgNAECodMoqQgBBBBAAAEEEEAAAQQQcC8BAqF73S9aiwACCCCAAAIIIIAAAgg4TYBA6DRKKkIAAQQQQAABBBBAAAEE3EuAQOhe94vWIoAAAggggAACCCCAAAJOEyAQOo2SihBAAAEEEEAAAQQQQAAB9xIgELrX/aK1CCCAAAIIIIAAAggggIDTBAiETp7h0GEAACAASURBVKOkIgQQQAABBBBAAAEEEEDAvQQIhO51v2gtAggggAACCCCAQCoETp48Kf369ZNly5al4mzvOOXll1+Wrl27yoMPPijjx4+XkiVLSqtWrVLc+fbt28tbb70lZcuWTfG5jp7gSLsdvba7nk8gdNc7R7sRQAABBBBAAIE0EpgyZYqEh4fLwIED0+gKaVPtvn37ZObMmXL48GHJkCGDFC9eXLp37y5Vq1YVTwiEN27ckOeff97g+fj4SJ48eeTpp5+Wzp07m787WmIHwl27dkm2bNnkP//5T5LVjh07VkqXLh0nOK5fv96Eyhw5cjjapDjn9+jRQ06cOGH+LXPmzFKsWDGpV6+eNG3aVHx9fc2/29tupzbMzSsjELr5DaT5CCCAAAIIIOClAqHXRfavErl+UqRAFZHyjZ0G4Y6BUANsmzZt5IUXXpDg4GCJioqSf//9V4KCgqRy5coeFQgXLFgguXLlEg3AI0eOlNdee80Eo9jl3r17JhSnpMQOhPael1AgtPfclB6ngbB169amr1euXDH9118AlC9f3jikVYmOjhb9ny10ptV1XFUvgdBV8lwXAQQQQAABBBBIrcD1EyKfPioSeuP/11CirkiXH1JbY5zz4gfCa9euySeffCJ79uyRgIAAadGihbRs2dKcM3r0aMmZM6cZudEP6Tqq9MYbb5jRq7t378qECRNk9+7d5gN1oUKF5MMPP5TAwEBJqs6VK1fKH3/8IdmzZ5cjR46IhhsNPTrSl1jREUAdDfzhhx8kY8aM9x1mGyHs1q2bzJs3z7SnXbt20rx5c3Pspk2bZP78+XL+/HlzXZ0qqSNPWmzn6ujcr7/+Krdu3TIGtnOTMtDzz5w5Ix9//LEcPHjQBDkd0Xv88ceT9YvfCdsI4Zdffil58+Y1Xx42bJgZxdORQp0Sq238+eefzajdgAEDTF9/+uknM+L7yCOPSO/evY2/Fu2LBqrbt2/LM888Y+5TYlNGbeHr2LFj5nydFqp/Tp48Wfz8/MyIXe3ataVv377ma7Ypo3fu3JFp06bJ1q1bzXG2EU0NV8m5xu+/BkIN/U899VTMlw4dOiSvvPKK6DNbrly5OFNd1Ubb1KxZs5jjX3zxRenUqZPUrVvX3A9t2/HjxyVfvnzGpkaNGnHui/ZXn4l3333XtHfWrFkJeulJOjK6ePFi832g02XVv0CBAnb1c926dbJkyRK5ePGi+d4ZNGiQVKpUKcnvE6d8s+toc7R+N1AQQAABBBBAAAEEXCfw7wqRC/vsv/6xX0VO/nb/8Q90FcmS3/56KjUTyVfhvuNjB0L9qKhhTD+caljQIDdkyBDz4Vk/bGsY0g/WGgx0iuD06dMlNDRU+vfvL0uXLpV//vnHBEQdrdKpnPpemgaDpOrUQKgB9KOPPpIKFSrI77//boLL559/nmjfNPDoB30dDdRwo+Ega9asMcfrh/mePXvKc889Z4Kj/l3bOHfuXBMGduzYYf4sWrSoHDhwwPRRw6x+sLeFTQ0TGhQvX75s6vjss8/MOUkZ6EilXvfRRx81QWn//v0yfPhwmTRpkgltSZ2bXCDUoPLqq6+KBqWKFSuaNmnY7NChgwm8s2fPNn3R62XKlEnef/99KViwoGg/9Fw9T69fpUoV0ZCpI4/69/jvEGrA0SCtwUtH5zTonzt3ztgkNEIYOxBqPzXk6DOg4VBDWuPGjU2gTs7VnkCox2ifdVRYw3Dsdwg1oH3//fcmjGvRX1roc6fPpYZg7ZP+Xe/N33//LaNGjTJm+gsOddAQrM917ty5Tah/6aWXZMyYMeZ74auvvjLPjs1Ln58PPvhA3nvvPSlRooR5V/WXX34xz/GpU6fMvUns+dFffkycOFHefvtt87xfuHDBjHDrvUrq+8T+b/SkjyQQOkuSehBAAAEEEEAAgdQKLO0q8k8KFjvR3+c74Z0xeX6OSOX/jfTFLrEDoY7Q6UjH8uXLY6bMrVixwoTAwYMHmw/E+q5ex44dTRV//vmn+VCtIy96zsaNG6VPnz5x3kVLrk4NhHqefsDWEhERIY0aNZLvvvvOBJvEin6Q1lEWbYMGngceeMCMmmloswVCrUNHObXoaJaOEtapU+e+KjVYaGCzBRf9MK+jj7ZpmPpBvW3btubcpAw0kA0dOlS+/vrrmHN1lDRLlizSq1evJM9NLBDqCKYWDVj169c3wfb06dMm4GkAso2Q6gjmuHHjTDjWoqNdI0aMkIULFxonnVKrIURLZGSkCVQa3OIHwm+++cYEZg1/8UtygVCDmoadMmXKmFN//PFHE5b0+dB7kpRr/GslNEKox+jzqaPHXbp0iRMI1UenEOvzmD9/fpkzZ45cvXrVjL5pG/Q50QBnK2qh97Nhw4bmvmgg0yCnRb00zOvIpxYNbOqlAVe99N81KOr1tGgg169PnTrVjM4m1c8333zTBHod/Yxdkvs+SfQbIYVfIBCmEIzDEUAAAQQQQAABpwtYeIRQR+f0w7F+oLYVDQ86TVFHVPRrOipnm5anIy0aeHT0RD8I6zRMHSnR/9YP2vqhfcuWLUnWqYFw586dMR++9bp67qJFi8yUS3uKjmrpCJ8WDUUJLSqjgfbZZ5+VJ5980owGaZt1JEhLSEiICYPa3uTOTcpA/bReHU20FQ1kOk1Rw1dS58bvp23KqI7C6rRCnZ5re68tfht1BEzvSeHChWMWnNGQov+uI2QayHQhGh3ptRUdydTgEj8Q6vX0nmuwj1+SCoR6bW2DBkptqxZ9Pt555x0zwpaca/xrJRYIdYRQR351GnP8VUZ1qqeGUQ1b+ksLDY86LVT7pNM0Yy98oyPbes91FDj+fUnOS0cPr1+/HucXFjq1WPuq77HGX+E29rOn5+ovJh577LE4XU7ue8+e7wN7jiEQ2qPEMQgggAACCCCAgJUE9B3C6XVFwm7+/1YVf0Sk6yqntDL2CKFO89RREP0An9BKlvYGGv3wr1MX9cOvvleVVJ3OCIQKoaOMOkJjT/jQ0T4NHBoONWTp6KROFdRpsskFl6QM7BkhTCxQJxYIY79DaDsmoTZqGNPpkjqCG7/oiNfRo0fNfbAVDUIaVFIyQqjTUEuVKhVnldHYU0aTGyFMKijZEwh1FE1DrU7N1Cms8QPh5s2bzS8ldERXRwD1lwp6fzWk6ghpYovRxL+n+m6g3svERgh1lK9WrVommMYvyT0/iY0QJve955Rvdt4hdBYj9SCAAAIIIIAAAuksYFYZ/UHk2kmRgrrKaBOnNSB2INSpcfqhXUOLjrDodEt9J0rfI9PVHZMKQ7oFgE7X1MVkbt68aT6UayB86KGHkqwzNYFQp4jqiM8TTzxhAuelS5fMO4i62IkGgaQ+lOs5uoCMHq/hRuvSFTc1zDgaCNXPFjQ1dNreIdRRVB25sjdQ681NaFGZpAKhjkpqqNApkroIjY6aagjUwHf27Fnz/qGOfKnXhg0bzJRQfUcusXcIdYRQrWK/Qzhjxgzzd31GbCV2INR+6jRN/WWATuHUP3VU1jYVN6WB0LbKqL7LqoFO+6hB0Bbs4gdCnW6sQVeP0fdXbSOiaqGjodonXWBGR091lFgtbO+Fxg7qOnKsU3zVKKF3CLdt22bCtwZGva/aV51mq4sHJRcI9R1CfddSn1P9ntKpz9oeHZVP6nvPWd/wjBA6S5J6EEAAAQQQQAABDxHQQKgfpHV6nRb98P3pp5+aaZz677rwik7T0xGRpALNqlWrzIiMBhkNZrrCpAYsHWlMqs7UBEINnNpGXQlVA4guKKPvEOqHeJ0WmNyHcg1EuqiKjgrqtFRto34gdzQQqp++36dhQVfE1AVLNFjbtolIy0Co90pHE/W9Pb0HOs1UF3SxrRCrI6jaZ30nUacAq52+M5fQxvQavtRXF2bR9zg19GlgVlftgy4c8/DDD5sRxtiBUKeoaujUwKTvXzZo0MBMw9X/Tu6exP92ir0PobZBn0N9h1LDvO3dzoQ2ptfR3rVr15pRRNv7lFq33g8NtDrKqKOG+jV9r1RDYfz7osfrM6LTf22rsmrg018cVK9e3TRVV3fV511/oaDTRPXfdXEie/q5Zs0aM5Ktv8jQ8K4hXt8rTOr7xFk/bgiEzpKkHgQQQAABBBBAwEME9J07DQ/6AZyCAAL3C+hWKLpojIZMfVfSnQuB0J3vHm1HAAEEEEAAAQScKKDTG3Vq3MCBA81UOl2On4IAAv8T0L0UdUEaHU3UhYH0/UTdDiWhd2vdyYxA6E53i7YigAACCCCAAAJpKKDT6nRaoL4npoHQtoJlGl4yRVXrdLrY76rFPlnf/7Nt1p6iSjkYATsF9D2/TZs2maN1iq1OLy1WrJidZ1v3MAKhde8NLUMAAQQQQAABBBBAAAEE0lSAQJimvFSOAAIIIIAAAggggAACCFhXgEBo3XtDyxBAAAEEEEAAAQQQQACBNBUgEKYpL5UjgAACCCCAAAIIIIAAAtYVIBBa997QMgQQQAABBBBAAAEEEEAgTQUIhGnKS+UIIIAAAggggAACCCCAgHUFCITWvTe0DAEEEEAAAQQQQAABBBBIUwECYZryUjkCCCCAAAIIIIAAAgggYF0BAqF17w0tQwABBBBAAAEEEEAAAQTSVIBAmKa8VI4AAggggAACCCCAAAIIWFeAQGjde0PLEEAAAQQQQAABBBBAAIE0FSAQpikvlSOAAAIIIIAAAggggAAC1hUgEFr33tAyBBBAAAEEEEAAAQQQQCBNBQiEacpL5QgggAACCCCAAAIIIICAdQUIhNa9N7QMAQQQQAABBBBAAAEEEEhTAQJhmvJSOQIIIIAAAgggIBIZGSmbN2+WI0eOSKVKlaRUqVJy/fp1KViwoGTNmhUiBBBAwGUCBEKX0XNhBBBAAAEEEPAGgZCQEHn99ddNGNTSunVrKV++vLz99tvSpk0b6d69uzcw0EcEELCoAIHQojeGZiGAAAIIIICAZwhMmjRJVq1aFdMZDYTdunWTF154QfLnzy9Tp071jI7SCwQQcEsBAqFb3jYajQACCCCAAALuItCqVSvJkCGDCX46IqiBsEePHjJo0CA5evSoLFu2zF26QjsRQMADBQiEHnhT6RICCCCAAAIIWEegYcOGUqdOHTNFtEGDBjGBcNiwYbJr1y5Zs2aNdRpLSxBAwOsECIRed8vpMAIIIIAAAgikp0Dbtm0lIiJCpk+fLu3atTOB8NFHH5X+/ftL7ty5Zf78+enZHK6FAAIIxBEgEPJAIIAAAggggAACaSgwZcoU+e6778TPz8+sNhoYGCihoaHmii1atJDevXun4dWpGgEEEEhagEDIE4IAAggggAACCKShgK4yOmDAADl+/Hicq5QsWVImTpwoWbJkScOrUzUCCCBAIOQZQAABBBBAAAEEXCoQHh4uP/74oxw4cMC0o1y5cvLUU09JxowZXdouLo4AAggwQsgzgAACCCCAAAIeJ3Dnzh0z+rZlyxYzAte+fXsJDg5OsJ87duyQxYsXy6FDh8Tf319q165tpnHaRu5GjBghW7dujTk3KChIVqxY4XFmdAgBBLxTgEDonfedXiOAAAIIIODRAhoGz549KxrmTp06JcOHD5cxY8ZIlSpV7uu37hEYEBBgvqbv9k2YMEGKFy9utoXQonU8/PDDZkRPi4+PjwmO9hatf9++feZ9QZ0mquXYsWNmu4kKFSpIo0aN7K2K4xBAAAGnCxAInU5KhQgggAACCCDgSgFduKV58+by3nvvSdWqVU1TPvzwQ/PnwIEDk23ahg0bZOHChTJ79uyYQKirgur2EakpnTt3Fn2PcOnSpWY/Qi337t2Tli1bSo4cOeTzzz9PTbWcgwACCDhFgEDoFEYqQQABBBBAAAGrCJw5c0a6dOlipnXq9E4t+t8a9CZPnpxsMz/55BO5fv26GRnUon/qBvJaihQpYraOqF69erL12A549tlnpWjRojJz5sw457z44oty+vRp0RFECgIIIOAqAQKhg/K2ZaMdrIbTEUAAAQQQQMAJArqlw+HDh807gOvWrTPTO7WsX79elixZIrNmzUryKtu2bZNx48aJbhVRuHBhc6y+P5grVy4zrfT333+XefPmydSpU2OmfybX7KZNm5rtJnS/Qa1Hy9WrV6Vjx45m6invIyYnyNcRQCAtBQiEDurevXvXwRo4HQEEEEAAAc8S+PdciLy/7rBsO37NdKx+uTwypmkFyZbJ/vfuUiOi4U8DYWpHCHfv3i2jR4+Wt99+WypVqpRoE9544w0pX768CXT2lMGDB8uuXbukYMGCMdNO165dK+fOnZMaNWrI+PHj7amGYxBAAIE0ESAQpgkrlSKAAAIIIOC9Aq1n/CFbj12NA9CyZhH58IVq6YKio3HNmjUzI32VK1c219RFZqKjoxN9h3Dv3r0yatQoefPNN6VataTb+dZbb5nRQZ2Wak/RVUyHDRuW4KFjx46VWrVq2VMNxyCAAAJpIkAgTBNWKkUAAQQQQMB7BUoM/eG+zhfJmUk2D6mXbii6iMzFixfN+3/6nt7QoUPN6J+uJKr/vnz5cunZs6f4+vqaFUB11E9XFbWFM9tKovpqiE4T1ZCo0zs3b95sppNOmjTJjBLaW/T9RZ2ueunSJXNK3rx5zfWffPJJe6vgOAQQQCBNBAiEacJKpQgggAACCHivQEKBsELBrLL6tcfSDSX2PoS6sEyHDh1i9iHUANi3b19Zs2aNWfVTp2zqO4axi22vQX01RLes0G0idORRF5XRuurWrZuqvly5csWclzt37lSdz0kIIICAswUIhM4WpT4EEEAAAQS8WGDN3+ek94KdEh3PID2njFqRX7ed2L9/v1y7ds1MXY1dUrudhRX7SZsQQMD9BAiE7nfPaDECCCCAAAKWFJj682GZsPaASHS0FMsdJNfuhEu2QH+pUyq3vBVcMc0XlbEkiohs2bLF7ImY2Mrk8UcnrdoP2oUAAp4pQCD0zPtKrxBAAAEEEEg3gXtR0fL60j2ybNcZ0V0exjSvIm0fKpZu17f6hbp27WreY0ysEAitfgdpHwKeLUAg9Oz7S+8QQAABBBBIU4HbYZHS/YsdsuXoFQn095UZHWvJ42Xzpuk13a3yRo0ame0wdDsL3XpCF7KJXWx7E7pbv2gvAgh4hgCB0DPuI71AAAEEEEAg3QXO3wiVDrO3yuGLtyRPlowyv3ttqVAwW7q3w+oXfO2118x7g5MnT7Z6U2kfAgh4oYBXBsLYK49lyZJF2rdvH7PyWPxn4Pbt2zJt2jT5448/zJeaNGkiOvVDl6OmIIAAAggg4K0C+87dlI6zt8rlW+FSOl8WWdC9thTIHuitHEn2e9OmTeYdwrZt28pjjz0mmTNnjnN8gQIFcEMAAQRcJuCVgVA3pz179qzZm+jUqVNmOekxY8aYvYnilw8++MDsV6T7E+nS0/pn06ZN5bnnnnPZTePCCCCAAAIIuFLgjyOXpevn2yU0IsosGDO7cy0JCvBzZZMsfe0GDRok2T7eIbT07aNxCHi8gNcFQt1DqHnz5uY3dVWrVjU3WDev1TJw4MD7bnjLli1l2LBhMRvVfvvtt2bfounTp3v8w0EHEUAAAQQQiC/wzc7TZgGZqGiR4KoF5aM2NSSDL7NmknpSCIR8HyGAgJUFvC4QnjlzRrp06SIrVqwQ3XRWi/73hg0bEpzb36JFCzOCWKtWLXOsBkINg6tXr2baqJWfbNqGAAIIIOB0gXGr98unG4+Yegc0KCt965dx+jU8sUKdMppU0WmkFAQQQMBVAl4XCA8fPiy9e/eWdevWxQQ6naqxZMkSmTVr1n33Yfz48XLlyhUzvVSnjGo4PHHihKxatUr8/f0T3VPIVTeU6yKAAAIIIOBsgfB7UTLw679l/b5L4ufrI++3qCiNK1vzvTddzZOCAAIIIGC/gNcFwpSOEIaEhJgRwR07dpglo+vXry/ff/+9LF261ChrSKQggAACCCDgqQI37kbIiwv3yF9nbkqWgAzyabtq8kCxHJbsri74ZtVAqGsX6GeHI0eOyJNPPimlS5eW/fv3mxlIJUuWtKQnjUIAAe8Q8LpAqO8QNmvWTMaNGyeVK1c2d1kXmdHloBN6hzD+Y7BgwQLzA3z06NHe8YTQSwQQQAABrxU4eeWOtJ+9RU5dvSuFsgfKgh61pVTeLF7rkdqOHzt2TPr16ye6yrmW1q1bS926daVPnz6iexT2798/tVVzHgIIIOCwgNcFQhXTRWR05VCdBnr69GkZOnSoCXi6yqj++/Lly6Vnz55m49iTJ09KhgwZJFu2bLJz50756KOPTJgsV66cw/hUgAACCCCAgFUFdp28Jp3nbpObdyOlcuFsMq9bbckVlNGqzbV0u/TzxtatW6VYsWLmc4UGwh49ekjHjh3N6ydz5syxdPtpHAIIeLaAVwbC2PsQ6sIyHTp0iNmHcN++fdK3b1+zkqgGwd9//90sNnP9+nXzg1z3IPzvf//r2U8FvUMAAQQQ8GqBNX+fkz6LdknEvWipVz6fTG9fUwL8M3i1iSOd162qdK/BTz/9VBo2bBgTCHUrq71798p3333nSPWciwACCDgk4JWB0CExTkYAAQQQQMCDBXQVUV1NVEv3uiVlROOK4sOuEg7d8WeffVZq1qxptrzSLShsI4T6C2hd7E4XqqMggAACrhIgELpKnusigAACCCBgIYGoqGgZtHSPLNt1xgTAMc2rSNuHilmohe7blO7du8u5c+dkyJAh5hUVfW+wcOHC8tlnn0mpUqVkxowZ7ts5Wo4AAm4vQCB0+1tIBxBAAAEEEHBM4G74Pek1f4dsOnRZAv19ZUbHWvJ42byOVcrZMQK6uujMmTMTFHn55ZelefPmaCGAAAIuEyAQuoyeCyOAAAIIIOB6gUshYdJx9lbZfz5E8mTJKPO715YKBbO5vmEe1IKoqCiZNGmSWZ8gdtGppLr6qC5iR0EAAQRcJUAgdJU810UAAQQQQMDFAocuhEiH2Vvlws0wKZ0viyzoXlsKZGdj97S6LboX8oEDB0z1ulq5ThulIIAAAq4WIBC6+g5wfQQQQAABBFwg8MeRy9L9ix1yJ/ye1CqeU77o9pAEBfi5oCVcEgEEEEDAlQIEQlfqc20EEEAAAQRcIPDNztPy+tI9EhUtEly1oExsXV38MzBtMa1uhW5ZlVgJCAiQ0qVLm5VHixYtmlZNoF4EEEAgUQECIQ8HAggggAACXiQwYe0BmfrzYdPjAQ3KSt/6Zbyo967pqm41kVzRfZGnTJlCKEwOiq8jgIDTBQiETielQgQQQAABBKwnEB4ZZTabX/vPefHz9ZFJratLcLVC1muoB7bogw8+kI0bN4qfn5/UqFHD9HDnzp1y7949qV27tuzZs0euX78u9erVk2HDhnmgAF1CAAErCxAIrXx3aBsCCCCAAAJOELgZGiGdZm+T3aeuS9YAP5nT9UF5sEQuJ9RMFfYIzJs3T77++mv5/PPPJVeu/7lfunRJdCqpThV97rnnpHPnzhIYGCiLFy+2p0qOQQABBJwmQCB0GiUVIYAAAgggYD2BM9fvSodZW+XY5dtSKHugLOhRW0rlzWK9hnpwi55//nnJlCmTzJ8/P04v27dvL+Hh4aL7FA4fPlz+/PNPWbt2rQdL0DUEELCiAIHQineFNiGAAAIIIOAEgb2nb0inOVvl2p0IqVw4m8zrVltyBWV0Qs1UkRKBJk2aSFhYmDRt2tRMC9Xy888/y4oVK8yo4MqVK2Xw4MFy8OBB828UBBBAID0FCITpqc21EEAAAQQQSCeBn/ZdkJcX7pSwyCipVz6fTG9fUwL8M6TT1blMbIGxY8fKhg0bEkSpX7++9O/fX9q0aSNFihQxC8tQEEAAgfQUIBCmpzbXQgABBBBAIB0EPvv1qIxZtU+io0W6PVJSRjapKD4+6XBhLpGgwO3bt2XSpElmYZnY5YknnjBh8NatW7J582YpWbJkzKIzUCKAAALpJUAgTC9proMAAggggEAaC0RFRcvw5Xtl8fZTJgCOaV5F2j5ULI2vSvX2Cpw7d06OHTsmPj4+JvwVKFDA3lM5DgEEEEgzAQJhmtFSMQIIIIAAAukncDf8nvSav0M2Hbosgf6+MqNjLXm8bN70awBXSlAgIiJCevToIboB/dSpU8Xf3x8pBBBAwFICBEJL3Q4agwACCCCAQMoFLoWEScfZW2X/+RDJkyWjzO9eWyoUzJbyijgjTQRatmwpmTNnvm+V0TS5GJUigAACKRQgEKYQjMMRQAABBBCwksChCyHSYfZWuXAzTErmCZJFPetIgeyBVmqi17dl5syZZh9CXTCmXLlyXu8BAAIIWEuAQGit+0FrEEAAAQQQsFtg+/Gr0nnONrkTfk9qFc9pNpzPFsiURLsB0+nA999/3ywoExUVJdWqVZPcuXPHubJuOUFBAAEEXCVAIHSVPNdFAAEEEEDAAYGVe85K/yW7JTIqWoKrFpSJrauLfwZfB2rk1LQSaNCgQZJVr1+/Pq0uTb0IIIBAsgIEwmSJOAABBBBAAAFrCUxcf1Am/3TINKp/g7LyWv0y1mogrYkjoIvKJFVmzZqFGAIIIOAyAQKhy+i5MAIIIIAAAikTiLgXJQOW7JaVf50TP18fmdS6ugRXK5SySjgaAQQQQACBWAIEQh4HBBBAAAEE3EDgZmiEdJu7XXacuCZZA/zM+4IPlsjlBi2niTaBK1eumH0I8+bNK8WLFwcGAQQQsIQAgdASt4FGIIAAAgggkLjAmet3pcOsrXLs8m0plD1QFvSoLaXyZoHMTQR0MRndg3DlypUSHR0trVu3loIFC8qnn34qXbp0Ed2WgoIAAgi4SoBA6Cp5rosAAggggIAdAntP35BOc7bKtTsRUrlwNpnXrbbkCspox5kcYhWBxYsXy+zZs2Oao4GwXbt2JhiWL19eJkyYYJWm0g4EEPBCAQKhF950uowAAgggzHRt8gAAIABJREFU4B4CP+27IC8v3ClhkVFSr3w+md6+pgT4Z3CPxtPKGIHOnTvL5cuXZeDAgTJ27FgTBHWhmT59+silS5dEAyMFAQQQcJUAgdBV8lwXAQQQQACBJAQWbTspw5btNUd0e6SkjGxSUXx8IHNHgYYNG8pDDz0k7777rugWFLZAOHLkSNm+fbusWbPGHbtFmxFAwEMECIQeciPpBgIIIICAZwhER4u88/0/Mve34yYAjmleRdo+VMwzOuelvWjRooVkz55ddHuJZ555xgRC/V/Xrl3Fx8dHli5d6qUydBsBBKwgQCC0wl2gDQgggAACCIhIWMQ96b1wp2zYf1EC/X1lRsda8njZvNi4ucCoUaPkt99+k5IlS5pVRosVKya3b98WXXX08ccflxEjRrh5D2k+Agi4swCB0J3vHm1HAAEEEPAYgau3w83iMX+fuSk5M/vLlz3rSIWC2Tymf97cEQ2Bffv2ldDQ0DgMmTNnlilTppiASEEAAQRcJeDyQBgeHi5Xr14Vf39/yZ07dxwH/c1ZRESE+Xf9OgUBBBBAAAFPFDh66ZbZVuLsjVApmSfIbCtROEcmT+yq1/bp5MmTsnDhQjlw4IAxKFeunLRv354w6LVPBB1HwDoCLg+EixYtkjlz5kibNm2ke/fucWRmzJghX3/9tbz44ovSqlUr66jREgQQQAABBJwksP34VbPhfEhYpNQqntNsOJ8tkF+COonXEtWEhYVJQECAJdpCIxBAAIH4Ai4PhC+99JIcOXJEPv/8cylcuHCc9ulv0zQkli1b1mzoSkEAAQQQQMCTBFbuOSv9l+yWyKhoCa5aUCa2ri7+GXw9qYv0RUSaNm0qTzzxhDz99NNSqVIlTBBAAAFLCbg8EOoPSf3N2apVq8TXN+7/Cd67d08aNWokmTJlkhUrVlgKjsYggAACCCDgiMDknw7JxPUHTRX9nior/Z4q40h1nGthAd1qwlb0l9+6DYX+W548eSzcapqGAALeIuDyQKiBT98T/Pbbb0Vfro5dbt26Jc2bNzfvD2pgpCCAAAIIIODuAhH3omTAkt2y8q9z4ufrI5NaV5fgaoXcvVu0PwkB3VZiw4YNcvjw4ZijdLuJBx54wIRDHT2kIIAAAq4ScHkg7NKli5w5c8asvhUcHBzHYfny5TJt2jQpUqSIzJ0711VGXBcBBBBAAAGnCNwOi5TOc7bJjhPXJGuAn3lf8MESuZxSN5VYX0A/7/z888/mf/pajK2sX7/e+o2nhQgg4LECLg+E+m6gTgfVUcDnn39eatWqZbC3b99uFpSJjIyUZs2aySuvvOKxN4GOIYAAAgh4vsD5G6HSYfZWOXzxlhTKHmhWEi2VN4vnd5wexhG4ePGibNy40WxGf+3aNfM1AiEPCQIIuFLA5YFQfzDqKqK6QWtCJSgoSGbOnCn58uVzpRPXRgABBBBAINUC+87dlI6zt8rlW+FSuXA2mdettuQKypjq+jjRvQQ0+GkI/OWXX+Sff/6JabxOG61Zs6aMGzfOvTpEaxFAwKMEXB4IVfPvv/+Wd9991+xHGLvkypVLRo4cKZUrV/YodDqDAAIIIOA9AhsPXpJe83dIaESU1CufT6a3rykB/hm8B4CemvcEo6KiYiT0VRhdcZSFZXg4EEDACgKWCIQKERoaKlu2bJHjx4+L/sasePHiUqdOHQkMDLSCE21AAAEEEEAgxQKLtp2U4cv3SnS0SNdHSsibTSqJj0+Kq+EENxfQ4Kcznh5//HETDitWrOjmPaL5CCDgSQKWCYSehEpfEEAAAQS8W0AD4JhV++SzX4+aADimeRVp+1Ax70bx4t7rIjKPPPKIZMzINGEvfgzoOgKWFXB5IJwyZcp9ODpCqHsPli5dWh5++GGz4AwFAQQQQAABdxAIi7gnvRfulA37L0qAn6/M7FRLHi+b1x2aThudKHD+/HlTW/78+eXChQtJ1lygQAEnXpmqEEAAgZQJuDwQxt6sNaGm69TRiRMnSrZs2VLWM45GAAEEEEAgnQWu3g6XTnO2yt9nbkrOzP5m8ZgqRbKncyu4nBUEbJ9vfvjhB2ncuHGSTWKVUSvcMdqAgPcKWD4Q6q157rnnpE+fPt57l+g5AggggIDlBU5euSNtZv4hZ2+ESsk8QWZbicI5Mlm+3TQwbQQIhGnjSq0IIOB8AZcHwrt37ybYqxs3bsiyZctEN6fX6RYLFixwfu+pEQEEEEAAAScI7Dp5TTrP3SY370ZKreI5zYbz2QJ53cEJtG5bxaZNm0zb69atK5s3b06yH4899pjb9pOGI4CA+wu4PBAmRRgRESGNGjUSPz8/Wb16tftr0wMEEEAAAY8TWPP3OemzaJdE3IuW4KoFZWLr6uKfwdfj+kmHEEAAAQQ8U8DSgVA3rW/fvr3ZemLlypWeeQfoFQIIIICA2wp88vNh+WDtAdP+fk+VlX5PlXHbvtDwtBP4888/5fvvv5djx46ZrbVKlCghwcHBZlN6CgIIIOBqAZcHwhUrViRoEBISIrpM86lTp6Rs2bIydepUV1txfQQQQAABBIzAvahoeX3pHlm264z4+frIpNbVJbhaIXQsJHDnzh2zKJ3ucZwlSxbzC2YNYQmVHTt2yOLFi+XQoUNmZfPatWtL7969zXmOlvnz58u8efMSrKZTp07SsWNHRy/B+QgggIBDAi4PhMmtMqq969evX7IrdDmkwMkIIIAAAgjYKXA7LFK6f7FDthy9IlkD/Mz7gg+WyGXn2RyWXgIaBs+ePSsjRowwv1wePny4jBkzRqpUqXJfE1atWiUBAQHma6GhoTJhwgTRVc4HDRrkUHP37NkTp44cOXJIdHS06DoJtqLtTKhNDl2YkxFAAIEUCFg6EOoP5+eff146d+5splhQEEAAAQQQcKXA+Ruh0mH2Vjl88ZYUyh5oVhItldfxUSRX9skTrx0ZGSnNmzeX9957T6pWrWq6+OGHH5o/Bw4cmGyXN2zYIAsXLpTZs2cne2xSB7zzzjvy66+/Sr58+eStt94yM5607Nu3T95++225cuWK1KtXT4YNG+bQdTgZAQQQcETA5YFQfygmVPS9wSJFirApvSN3l3MRQAABBJwmsO/cTek4e6tcvhUulQtnM3sM5grK6LT6qch5AmfOnJEuXbqIvpYSFBRkKtb/1qA3efLkZC/0ySefyPXr183ooiNFp4PqBvUa+DT4xS4//vijvP/++1KoUCH54osvHLkM5yKAAAIOCbg8ECbXep3Pv3btWnn11VeTO9QlX9epJRQEEEAAAc8W2HrsqvT6co+ERkTJE2Vzy8cvVJEAvwye3Wk37Z3+Qvnw4cPmHcB169bFzDDSzd+XLFkis2bNSrJn27Ztk3HjxsmUKVOkcOHCDik0adJEwsLCzGijjhLGLiyc5xAtJyOAgBMFLBkI9bdy+lu8NWvWmBW5tOgPciuWxPZRtGJbaRMCCCCAQMoFvt1zToZ/u0+iokU61i4iwxqWFd5iSLljepyhr5doIEztCOHu3btl9OjRZjpnpUqVHG5y7M3pM2aMO5ocHh5u1kfQNmtwpSCAAAKuErBMILx3755s3brVjAbqn/p3W2EfQlc9HlwXAQQQ8G6Bsav3y4yNRwzC2BZVpO1DxbwbxE16r+8QNmvWzIz0Va5c2bRaF2/RBV0Se4dw7969MmrUKHnzzTelWrVqTumpLRBmzZo1wfp0RXUtVv2lt1MQqAQBBCwv4PJAqCOA+psxnUuvI4Pxy9ChQ6VOnTox7wBYXpQGIoAAAgi4vUB4ZJTZbH7tP+clwM9XprWvKfUr5Hf7fnlTB3QRGZ2Wqe8Bnj59WvTzhI7+6Yqe+u/Lly+Xnj17iq+vr1nk5Y033jArgtaqVcsw6cidbkHhSLFnJXUCoSPCnIsAAs4QcHkgjP/DUn+Tp/82ffp0s/QzvzVzxm2mDgQQQAABewVu3ImQznO3ye5T1yVnZn+zeEyVItntPZ3jLCIQex9CXVimQ4cOMfsQagDs27eveTUlQ4YMMn78+Ps+b+g5ie2VbG8X7V09dOzYsfZWyXEIIICA0wUsEwh1KWb97V3RokVNJ3Wqx+3btwmETr/lVIgAAgggkJjAySt3pP3sLXLq6l0pmSfIbCtROEcmwBBAAAEEEPBYAcsEQhXOkiWLPPHEE/L000+bJZoJhB773NExBBBAwHICu05eMyODN+9GSq3iOc2G89kCHZsyaLlO0iAEEEAAAQTiCbg8EP78889mIZmdO3eal73jl2nTpkmZMmW4cQgggAACCKSZwJq/z5l3BiPuRUtw1YIysXV18c/gm2bXo2IEEEAAAQSsIuDyQGiDuHTpkllcRv939uzZOD758+eXBQsWWMWMdiCAAAIIeJDApxuPyLjV+02PXqtfRvo3KOtBvaMrCCCAAAIIJC1gmUAYu5m69LOOGm7cuNEsLKOFxWV4lBFAAAEEnCkQFRUtg5bukWW7zoifr49Mal1dgqsVcuYlqAsBBBBAAAHLC1gyENrUNAxu2rTJhENdPpqCAAIIIICAMwTuht+TXvN3yKZDlyVrgJ95X/DBErmcUTV1IIAAAggg4FYClg6EbiVJYxFAAAEE3ELgUkiYdJy9VfafD5FC2QPNSqKl8mZxi7bTSAQQQAABBJwtQCB0tij1IYAAAghYVuDQhRDpMHurXLgZJpULZzN7DOYKymjZ9tIwzxDQPREXL14su3btkmvXrt23iN7ChQs9o6P0AgEE3FKAQOiWt41GI4AAAgikVOCPI5el+xc75E74PalXPp9Mb19TAvwzpLQajkcgxQK68fyGDRsSPY91ElJMygkIIOBEAQKhEzGpCgEEEEDAmgLf7Dwtry/dI1HRIm0eLCpjW1QRHx8fazaWVnmcQLNmzczeytWrV5eCBQuKr2/cLU369evncX2mQwgg4D4ClgiEUVFRcuXKFaOWO3fu+35Qug8nLUUAAQQQsJrAhLUHZOrPh0Xz38gmFaXbIyWt1kTa4+ECrVq1knz58snUqVM9vKd0DwEE3FHAMoHwmWeekaCgIPnmm28IhO74JNFmBBBAwGIC4ZFRZrP5tf+clwA/X5nWvqbUr5DfYq2kOd4gMHv2bFmzZo3MmjVLsmfP7g1dpo8IIOBGApYIhOrVsWNHiYiIMC9dUxBAAAEEEHBE4GZohHSavU12n7ouOTP7m8VjqhThg7gjppybegF9h/CXX36RTJkymWmjmTNnjlPZ4MGDU185ZyKAAAIOClgmEP74448yfvx4eemll0Tn2sefX+9gPzkdAQQQQMBLBM5cvysdZm2VY5dvS8k8QWZbicI5MnlJ7+mmFQUaNGiQZLNYVMaKd402IeA9ApYJhO3bt5erV69KZGSkZMyYUXLkyBHnLrAks/c8lPQUAQQQSK3A3tM3pNOcrXLtToTUKp7TbDifLdA/tdVxHgJOEejRo0eS9ehUUgoCCCDgKgHLBEJ+e+aqR4DrIoAAAp4h8NO+C/Lywp0SFhklwVULysTW1cU/Q9zVHD2jp/QCAQQQQAAB5wlYJhBOmTIlyV716dPHeb2mJgQQQAABjxL47NejMmbVPomOFnmtfhnp36CsR/WPzri/QHR0tOzcuVMOHjxoOlO2bFmpWbMm25+4/62lBwi4vYBlAqHbS9IBBBBAAIF0F4iKipbhy/fK4u2nxM/XRya1ri7B1Qqlezu4IAJJCYSGhsqIESNkz549cQ6rVq2ajB49WgIDAwFEAAEEXCZgqUCo7w9u3rxZjhw5IpUqVZJSpUrJ9evXzSauWbNmdRkSF0YAAQQQsJ7A3fB70mv+Dtl06LJkDfAz7ws+WCKX9RpKi7xeQN8RXLJkSYIOrVu3luTeMfR6QAAQQCBNBSwTCENCQuT11183YVCL/oAsX768vP3229KmTRvp3r270yDu3LkjEydOlC1btkiWLFlEF7QJDg5OsH49dvLkybJt2zaJiooyy0W/9tprkjNnTqe1h4oQQAABBFImcCkkTDrO3ir7z4dIoeyBZiXRUnmzpKwSjkYgnQR0a63z589L7969pV69euaqGzZskOnTp0uBAgVk/vz56dQSLoMAAgjcL2CZQDhp0iRZtWpVTAs1EHbr1k1eeOEFyZ8/v0ydOtVp90/D4NmzZ830jVOnTsnw4cNlzJgxUqVKlfuuoT+s9+7dK++++65Z/fT999+XoKAgGTZsmNPaQ0UIIIAAAvYLHLoQIh1mb5ULN8OkcuFsZo/BXEEZ7a+AIxFIZ4GGDRtKkSJFRDeoj130c45+HtFN6ykIIICAqwQsEwhbtWolGTJkMMFPRwRtUygGDRokR48elWXLljnFSKelNm/eXN577z2pWrWqqfPDDz80fw4cOPC+a7z11ltSunRp0d/uafnpp5/kq6++khkzZjilPVSCAAIIIGC/wPbjV6XznG1yJ/yePFYmj3zWqZYE+GewvwKORMAFAvq5Qz9/zJkzR/LmzWtacOnSJfOLb39/f6d9xnFB17gkAgh4gIBlAqH+9qxOnTpmiqhuQWELhDoSt2vXLqf99uzMmTPSpUsXWbFihRnp06L/rVM3dGpo/LJjxw5ZsGCBjBw5MmaEUN9t1B/iFAQQQACB9BNYuees9F+yWyKjoqXNg0VlTPMq4uvrk34N4EoIpFJAf7n8+++/m8Vj9JfRuuKozj7SxWYefvhh89mHggACCLhKwDKBsG3bthIREWHm07dr184EwkcffVT69+8vuXPndtr8+sOHD5s5/OvWrYtZ6nn9+vXmZe+ENobVRW10mqgGQy0VKlQwf8+UKZP5u/4wpyCAAAIIpK3A5J+PyrSNx8THR2Row7LSuU7RtL0gtbutgBVX7NSZTrr+QPzPDNrWjz/+2CyiR0EAAQRcJWCZQKj7EH733Xfi5+dnplXoD0nbD84WLVqYEOeMktIRQh2h1HcHBwwYYKZ1aGg8ffq0jB8/3jTn7t27zmgWdSCAAAIIJCAQcS9Khiz/V1b/c1EyZvCVj1+oLE+UzYMVAgkK+Pj4WHYLh+PHj8uiRYvkwIEDpu3lypUT/WV4iRIluJsIIICASwUsEwh1lVENXfoDM3YpWbKkWRFUVwN1RtGw2axZMxk3bpxUrlzZVKn16/SNhN4h1PcZ+/XrZ6azajl27Ji8+OKLsnr1ahNeKQgggAACaSNwMzRCus3dLjtOXJOcmf3N4jFVimRPm4tRKwIIIIAAAl4qYJlAqP7h4eHy448/xvnt2VNPPWVG6JxZdBGZixcvmlVGdbRv6NChZmNYXWVU/3358uXSs2dP8fX1jZnXr2FRA6COEOo7jfFXCnNm+6gLAQQQ8HaBM9fvSodZW+XY5dtSMk+Q2VaicI7/TdWnIOAOAmvXrjXN1HUR9NWUpIquo0BBAAEEXCVgqUCYXgix9yHUhWU6dOgQsw/hvn37pG/fvmYRG1319OrVq/LJJ5/I7t27zT6EuuLoK6+8IjpySUEAAQQQcL7A3tM3pNOcrXLtToTUKp7TbDifLdDf+ReiRgTSUECDoJYffvhBGjdunOSVkguMadhMqkYAAQTEpYFQR+i0jBo1yvwvqaIjeBQEEEAAAc8W+GnfBXl54U4Ji4yS4KoFZWLr6uKfwdezO03vPFKAQOiRt5VOIeCRAi4NhPyw9Mhnik4hgAACqRJYtO2kDFu215zbt34ZGdCgbKrq4SQErCBw48YN04zs2bOL7b8Ta5ceQ0EAAQRcJeDSQKiLtWiZMGGCNGrUyGzlkNjSyx999JGrjLguAggggEAaCkRHi7zz/T8y97fj4ufrI5NaV5fgaoXS8IpUjUD6Cuj7hDly5JDatWvHufCFCxckLCxMihUrlr4N4moIIIBALAGXBsLBgwdLzZo1RVfy1NHC8uXLi24/QUEAAQQQ8A6BsIh70nvhTtmw/6JkDfAz7ws+WCKXd3SeXnqNQGKfcfr06SP79+9PdtEZr4Giowgg4BIBlwZC/QFZr1490b3+CIQuuf9cFAEEEHCZwNXb4WbxmL/P3JRC2QPNSqKl8jpniyGXdYoLI5CAQGKfcbp27WpWO2dRGR4bBBBwpYBLA2GTJk1EV/l87rnn5PPPP5e8efOa/06o6CgiBQEEEEDAMwSOXrpltpU4eyNUyhfIKl/2rCO5gpy7xZBnSNELdxbQwKdFQ5+/v7/kz58/pjuhoaFy+fJlyZo1qyxbtsydu0nbEUDAzQVcGgh1ewfd5sGewm/P7FHiGAQQQMD6AtuPXzUbzoeERcpjZfLIjI61JFPGDNZvOC1EIIUCtsXzkjrNNlMqhVVzOAIIIOA0AZcGwoMHD8oHH3wgJ06cMHv8JVUIhE6751SEAAIIuExg5Z6z0n/JbomMipY2DxaVMc2riK+vj8vaw4URSEsB24J4uhehLirzyCOPxFwuICBAihcvLk899ZRkzMjoeFreB+pGAIGkBVwaCGM3jXcIeVQRQAABzxaY/NMhmbj+oPj4iIxoXFG61y3p2R2mdwj8n0CvXr3MKupDhgzBBAEEELCcgGUCoY4WBgYGsvSy5R4RGoQAAgg4JhBxL0oGLNktK/86JwF+vjKtfU2pX+H/v0vlWO2cjYD1BW7duiV379417wvqZx0t+g5hSEiI2XIrSxYWU7L+XaSFCHiugEsDoe7Lo0VHB5ObEtqwYUPPvQv0DAEEEPBQgdthkdJ5zjbZceKa5MzsL/O61ZYqRdiE20NvN91KREC32dq9e7fMnTtXChcubI46c+aM6KIz1atXl/Hjx2OHAAIIuEzApYHQ9rK1zq1v3LhxkgjJBUaXCXJhBBBAAIEEBc7fCJUOs7fK4Yu3pGSeILOtROEcmdBCwOsEmjdvbt4h1EAYu3Tp0kVu3Lghy5cv9zoTOowAAtYRIBBa517QEgQQQMBjBPaduykdZ2+Vy7fCpVbxnGbD+WyB/h7TPzqCQEoEnnnmGcmdO7csXLgwzmnt27eXq1evyurVq1NSHccigAACThVwaSDU34ppyZ49u/kNWVJFj6EggAACCFhfYOPBS9Jr/g4JjYiS4KoFZWLr6uKfwdf6DaeFCKSRQMeOHeX8+fPSs2dPef75581Vvv76a/nss8+kQIECMn/+/DS6MtUigAACyQu4NBAm3zyOQAABBBBwJ4FF207K8OV7JTpapE+9MjLw6bLu1HzaikCaCMyYMcMEQC26Qb2WiIgI86cGRF2FlIIAAgi4SsAygfCvv/4y+xHWrVvX7MczadIk2b9/v5QpU0YGDBhgVuaiIIAAAghYU0AD4Hur/pVZvx4TP18fmdS6ugRXK2TNxtIqBNJZ4Pbt2+azzNGjR+NcWbeimDhxogQFBaVzi7gcAggg8P8FLBMIBw0aJPv27ZNvvvlGlixZIgsWLIhpZaNGjaR///7cNwQQQAABCwqERdyT3gt3yob9FyVrgJ95X/DBErks2FKahIDrBHRE8KeffjKfdbRUqFBB6tevHzNi6LqWcWUEEPB2AcsEwlatWpmlmD/66CPp27ev+YHZpk0b+fbbb83+PF9++aW33yv6jwACCFhO4OrtcOk0Z6v8feam5M8WIIt61pFSedlTzXI3igYhgAACCCCQiIBlAqGuwPXf//5X3nrrLWnWrJlZaOaLL76QN998U7Zv384KXDzCCCCAgMUETl65I21m/iFnb4RK+QJZZX732pI3a4DFWklzEHCNgG1vQZ0qqtNCkyq6TyEFAQQQcJWAZQJhy5YtzXuCugLXqFGjTDh85513RH9IHjx4UFasWOEqI66LAAIIIBBPYNfJa9J57ja5eTdSHiuTR2Z0rCWZMmbACQEE/k+AvZZ5FBBAwF0ELBMI33jjDdm2bVuM20svvSQaEnWPHp0yqit0URBAAAEEXC+w5u9z0mfRLom4Fy1tHiwqY5pXEV9fH9c3jBYgYCGBHj16mNZMnz5devfunWTLZs2aZaGW0xQEEPA2AcsEwuPHj8vo0aPl9OnTUqNGDTNV9Ny5czJkyBCpV69esj9Mve3G0V8EEEDAFQKf/HxYPlh7QHx8RN5oVFF6PFrSFc3gmggggAACCCDgJAHLBEJbf6Kjo8VHP2lQEEAAAQQsI3AvKlpeX7pHlu06IwF+vjKtfU2pXyG/ZdpHQxBAAAEEEEAgdQKWCYTXrl2TkJAQyZcvnwQEBMj3338fsw9h06ZNCYmpu7+chQACCDgscDssUrp/sUO2HL0iOTP7y7xutaVKkewO10sFCHiygK6abm/p16+fvYdyHAIIIOB0AcsEwpEjR8rWrVtl8eLF8scff5jtJ2yla9eu0q5dO6d3ngoRQAABBJIWOH8jVDrM3iqHL96SknmCZEGP2lI4RybYEEAgGQHbojL2QK1fv96ewzgGAQQQSBMBywRCXTxGVxn99NNPZejQofLnn39KxYoVzX6ERYsWldmzZ6cJAJUigAACCCQssO/cTek4e6tcvhUutYrnNBvOZwv0hwsBBOwQ6NSpU5yjLl++LLo5vX7W8fPzE50Zpa/IFChQQObNm2dHjRyCAAIIpI2AZQJho0aN5P+1dx/wUVXZA8cPCUkgJPSQIEV6kSp/FBcVFxuKsgsiAgICAioWFBGl2BAEdkVQ0GVhEVeQFZaqIIvooiK64LKCAtKLlAChh5r+/5w7mTCTOkmmvJn53c8nHwLMvHfv973J5My995wbbrhBxowZIw899JAZ7T//+U9TdkKDwuXLl3tGgKMigAACCOQQ+HbXCXl87ka5kpIunZpXlcndW0pYaAhSCCBQBIHvv/9e3nzzTVNruU2bNuYImkxv+PDhooFjp06dinBUnoIAAgi4R8AyAaHuE6xVq5b5Ydm9e3dp2bKlvPXWW/Lyyy/Lzz//TEDonuvNURBAAIECBRb/dFheWPizZGSIPHN7fRl2d4MCn8MDEEAgb4F+/fpJWlqazJ071+lBY8eONbWWs/87lggggIA3BSwTED799NOyc+dOCQsLM0sqevToIQPDCAo0AAAgAElEQVQGDDCF6pOTk+Wjjz7ypgvnQgABBIJSYMK/dsiMb/dKyZASMqV7S+nU4pqgdGDQCLhT4N577zUBodZcvvXWWyUkJMSsftK/X7lyRVauXOnO03EsBBBAoFAClgkIf/jhB3njjTfMD8zy5cvL+++/L+np6dKnTx+57bbbzEwhDQEEEEDAMwLJqemm2PwX245JZHiofPTojXJDrYqeORlHRSDIBDSL6LZt28yoQ0NDzZd+2K2tadOmMmXKlCATYbgIIGAlAcsEhIpy6tQpU4y+du3aUqZMGbl06ZLoJuyyZcuaIJGGAAIIIOB+gXOXUqTvhz/K5kNnJbZshHw8oI3Uj412/4k4IgJBKrB//34ZNWqU+Z3GscXExMj48ePNlhkaAggg4CsBSwWEvkLgvAgggECwChw8dUl6fbBeDp2+LI3iomXugDYSEx0RrByMGwGPCeiM4Jo1a0SDQ2116tSR9u3bS3h4uMfOyYERQAABVwQsFRDqGvpvvvnGzBTqclHH9uGHH7oyHh6DAAIIIOCiwKaDZ8zMYOLlVGlXv7LM6NNaSoeHuvhsHoYAAkURsC8VJRAsih7PQQABTwhYJiBcsmSJTJ8+Pc8xUrTVE5efYyKAQLAKrNp61OwZTEnLkB431JDxXZpJSEiJYOVg3AEooNtOJk+eLOvXr5eoqCjResd5lXfQpZzvvPOOSW539uxZWbBggVSseHUPreYx2LBhQ5aSbmtZtmxZodS+/fZbkyDv0KFDJpt6/fr1RX+3uf/+++Wmm24q1LF4MAIIIOBOAcsEhAMHDpTffvtNmjVrJlu2bDGbrBMTE+Xw4cPy+9//XkaOHOnOcXMsBBBAIGgF/vrtXpn4rx1SooTI6I7XycBbawetBQMPXAENBuPj401SOg3CdA+f7tfT3zOyN12ZpMntqlWrJi+99FKuAWHbtm3lzjvvNE/VgvKaFd3VpsfWslr2pgHhH/7wB5M4T4/r+H+uHpPHIYAAAu4SsExAqIXpdT29Bn5ar+eVV16RW265xaRkrlmzpgwePNhdY+Y4CCCAQFAKpKdnmPqCSzYdkYiSIfKXXq3kjsaxQWnBoANbIDU1Vbp06WKKwTdv3twM9u233zZ/Dhs2LM/Bnzt3Th588MFcA0ItF9GhQ4ciwdlLa+nvOro9RgNC/SD8scceMwn0Pv744yIdlychgAAC7hCwTECoNXp0ycQTTzwhvXv3lqeeeko6d+4sundwxYoVsnjxYneMl2MggAACQSlwOTlNHp+7UdbuPikVIsNkzqNtpFn1ckFpwaADX+DIkSPmw2Vd1qnLO7Xp95rUZerUqUUKCPft22eeV716dXn44YelZcuWLkNqIHjdddfJpEmT5K677soKCF999VXZuHEjdQhdluSBCCDgCQHLBITdunUzM4ETJkww6+mjo6PNMoq1a9dKRkaGfPbZZ54Yf7GPqQVlaQgggICVBU5eSJJH526WXccvSK1KpWX2I63kmnKlrNxl+oZAkQVKlSole/bsMSuLVq9ebZZ3atP9ero3cNasWYUOCHX/oO4pjIiIMEtL58yZY+ola5ksV5r+XlOvXj2zT9EeED766KOiX2fOnJFPP/3UlcPwGAQQQMAjApYJCHUJx+7du2XRokVmvf+mTZuyBnzzzTfL66+/7hGA4h708uXLxT0Ez0cAAQQ8JrDnxEUZMHeTJJxPllY1yslfH24h0aVKeux8HBgBXwpo8KcBobtnCLOPSbezNGrUyOwBdKXZC9NrUpvly5dL69atTXF6DTRbtGhhZg5pCCCAgK8ELBMQ6g9v/ZRMP0HT9fTvvfeeqdXToEED8ykfhel9dYtwXgQQ8FeB/+w9KQM+2iiXktOkU/OqMrl7SwkLDfHX4dBvBFwW0D2Euu1k4sSJJkmdNk0yoyuOirKHMPuJNQmMzg7qslRXWvakMo7P0X2ON954oyuH4TEIIICARwQsExB6ZHQcFAEEEAhSgcU/HZbhC3+W9AyRp2+vJy/c3TBIJRh2sApoEpmEhASz6kgzlo8YMULGjRtnsozqvy9dulQGDRokISG2D0m0PqBmN+/Zs6dJ8lKhQgVTNF63hmhApzN5mll03bp1Mm3aNJkyZYqZJXS16ZLV2bNni5a40Fa5cmWTWOaOO+5w9RA8DgEEEPCIgE8Dwi+++MLlQRU1s5fLJ+CBCCCAQIAIvPXFTnn/6z2iZQXf6tZCuraqHiAjYxgIuC7gWIdQE8towjp7HcLt27fLkCFDZNWqVWbpZlpamtxzzz05Dv7555+b/9OSFbpqSWceNamMHkszobvSUlJSRGsQarvttttM0KmtUqVKrjydxyCAAAIeF/BpQKgbq11tFKZ3VYrHIYBAsAokp6abYvNfbDsmkeGh8kHf1vK7upWDlYNxI2AZAQ02dcbxk08+sUyf6AgCCCBgFyAg5F5AAAEEAkDg3KUU6fvhj7L50FmJLRshHw9oI/VjowNgZAwBAf8X0FJa8fHxJnGezkjSEEAAASsJ+DQg1AKwrrZy5aiX5aoVj0MAgeASOHL2svSY+R85dPqyNIqLlrkD2khMdERwITBaBCws8N1335myWlpvuWvXrjmWi8bFxVm493QNAQQCXcCnAWGg4zI+BBBAwNMCWw6fk0dmb5Azl1KkXf3KMqNPaykdzgyEp905PgKFEShoiwzbYgqjyWMRQMDdApYJCKdOnSobN24UTeVct25dM869e/fKmDFjTL0e3fxNQwABBBC4KvDv7cflyXk/SVJquvS4oYaM79JMQjSTDA0BBCwlQEBoqctBZxBAIJuAZQLC7t27m9TP2Tdc9+jRw3R5/vz5XDwEEEAAgUyBv323T8av3G7+NqpjYxl0ax1sEEDAogJr167Nt2ft2rWzaM/pFgIIBIOAZQJCLSuhqZw/+OADJ/cBAwaIFq3X1NA0BBBAINgF0tMzZNTSLTL/v4ckomSI/KVXK7mjcWywszB+BBBAAAEEECiigGUCwm7duokmmdFCr02aNDHD2bZtmwwdOlQ0oczChQuLOESehgACCASGwOXkNHl87kZZu/ukVIgMkzmPtpFm1Um4FRhXl1EEokBGRoZ89NFHYt8jqEtH+/btKyVKsLQ7EK83Y0LAXwUsExCOHz9evv76a5OOuXnz5sbzl19+MQVh27dvb4rC0hBAAIFgFThxPkn6fLBBdhw7L7Url5GPB7aRauVLBysH40bALwRWrlxpPuh2bPpBd8eOHf2i/3QSAQSCQ8AyAeHhw4fl6aeflosXLzrJlylTRt577z2znJSGAAIIBKPA7uPnpfcHG+R4YpK0vraCzO5/g5QtFRaMFIwZAb8S0PqDu3btMiuddLYwMTFRGjRoIO+//75fjYPOIoBAYAtYJiBU5kOHDsk//vEP2b7dliihcePG8vDDD0uNGjUC+yowOgQQQCAPgf8eOC19Z/8ol5LTpEOTOHnv4eslLDQELwQQ8AOBzp07mw+6582bZ1Y8PfLIIxIVFSVLly71g97TRQQQCBYBSwWEwYLOOBFAAAFXBJb/HC9DF2yW1PQMefr2evLC3Q1deRqPQQABiwjonsHIyEj59NNPTY/uv/9+SUpKytpTaJFu0g0EEAhyAQLCIL8BGD4CCFhTYPKXu2Tqv3eLlhV8q1sL6dqKZfPWvFL0CoG8BTQgLF26tLz77rvmQbo1Jjk5WWbOnOn0pNq1a8OIAAII+EyAgNBn9JwYAQQQyCmQkpYuzy/YLMt/OSqR4aHyQd/W8ru6laFCAAE/FCioIL19SPYspH44RLqMAAIBIEBAGAAXkSEggEBgCCReSZFHP/yvbPztjMSWjZCPB7SR+rHRgTE4RoFAEAoQEAbhRWfICPihAAGhH140uowAAoEncOTsZek9a4PsP3lRGsVFy9wBbSQmOiLwBsqIEAgigfnz57s02h49erj0OB6EAAIIeELAMgHhsWPHJCwsTCpVquSJcXJMBBBAwLICWw6fk0dmb5Azl1KkXf3KMqNPaykdHmrZ/tIxBBBAAAEEEAgcAcsEhLqsolGjRjJt2jQn3dGjR5saPgsXLgwcdUaCAAIIZAr8e/txeXLeT5KUmi49bqgh47s0kxDNJENDAAEEEEAAAQS8IGD5gHDw4MGyZ88eUjR74WbgFAgg4F2B2d/vl7ErfjUnHXVvYxnUro53O8DZEEAAAQQQQCDoBXweEL7zzjvmInz++edSvnx5ufnmm7MuypUrV+Trr782S0lXrFgR9BcLAAQQCAyBjIwMGblki8z/7yGJKBkif+nVSu5oHBsYg2MUCCCAAAIIIOBXAj4PCF3JwNWsWTOZPHmyX8HSWQQQQCA3gaSUNBk87ydZsyNBKkSGyZxH20iz6uXAQgABBBBAAAEEfCLg84Cwf//+ZuCHDx82M4GxsVc/JY+IiJBrr71WHnnkEalWrZpPgDgpAggg4C6B0xeTTfKYrUcSpXblMvLxwDZSrXxpdx2e4yCAAAIIIIAAAoUW8HlAaO9xXkllCj0inoAAAghYUGDfiQumrET8uSvSskZ5mTPgRilbKsyCPaVLCCDgKYGkpCQ5e/as6LJxxxYXF+epU3JcBBBAoEABnwaEHTt2lNtvv11eeOEFeeaZZ6RmzZoyfPjwAjvNAxBAAAF/EvjvgdOm4Pz5pFTp0CROpvW8XsJLhvjTEOgrAggUQ+DQoUMyadIk+fVXWxKp7O3LL78sxtF5KgIIIFA8AZ8GhDor2K5dO3nllVeEGcLiXUiejQAC1hRY/nO8DF2wWVLTM+Tp9vXkhQ4NrdlReoUAAh4TGDp0qGzdujXP4xMQeoyeAyOAgAsCPg0IO3fuLMnJydKqVSvZsGGDREVFSfPmzXPt9pgxY1wYDg9BAAEErCPw7r93y5Qvd4mWFXyrWwvp2qq6dTpHTxBAwGsC9913n6Snp0uvXr2katWqEhLivEKgffv2XusLJ0IAAQSyC/g0IHzttdfkhx9+cOmq8OmZS0w8CAEELCCQkpYuzy/YLMt/OSqR4aHyQd/W8ru6lS3QM7qAAAK+EOjXr59UqFBBpkyZ4ovTc04EEEAgXwGfBoS6sXrOnDly8OBB+fnnn6V06dJSp07uhZnt9Qq5nggggICVBS4mpUrf2T/Kxt/OSGzZCPl4QBupHxtt5S7TNwQQ8LDAV199Jfp7zNixY+X666/38Nk4PAIIIFA4AZ8GhI5d7dChgzRu3Nj8wKQhgAAC/ihw7NwV6f3BBtmTcEEaxUXL3AFtJCY6wh+HQp8RQMCNArpU9OTJk2bZqG6PiYyMdDr6vHnz3Hg2DoUAAggUTsAyAWHhus2jEUAAAWsJbD+aKH0+2CAnLyRLu/qVZUaf1lI6PNRanaQ3CCDgEwFNnJdfY1uMTy4LJ0UAgUwBnwaEf/7zn003nn/+eZk8eXK+F+XFF1/koiGAAAKWFPh21wl5fO5GuZKSLj1uqCHjuzSTEM0kQ0MAAQREZNq0afk6aOktGgIIIOArAZ8GhPZPzD7//HPRDFx8euar24DzIoBAUQU++fGgjFq6RbTO9OiOjWVQu9z3QRf1+DwPAQQQQAABBBDwpIBPA8KBAweasU2fPl0GDx6c7zhnzZrlSQeOjQACCBRKQAPAN1f+KrO+2y8RJUPkL71ayR2NYwt1DB6MAALBI3D69GlZtmyZ7Nq1ywy6QYMG0qVLF5N9lIYAAgj4UsCnAaGvBn7p0iWzRHX9+vVmc7du9u7UqVOu3Xnuuedk27ZtTv+nmVBnzJjhq+5zXgQQ8LFAUkqaDJ73k6zZkSAVIsNkzqNtpFn1cj7uFadHAAGrChw7dkyGDBkiZ86cceqiBoNTp06VuLg4q3adfiGAQBAIWCIgTElJEZ0tjIiIkPfff1/CwsI8Sq/BYHx8vLz88sty6NAhGTVqlIwfP16aNWuW47zatwydCshsI0eONCmje/fu7dE+cnAEELCmwOmLyfLI7A2y9Uii1KhYWuY/9jupVr60NTtLrxBAwBICEyZMkDVr1kiJEiWkRo0apk/6+4f+fnH77beL/m5BQwABBHwlYImAUAfftWtXk4Z57ty5HrVITU01SzTefPNNad68uTnX22+/bf4cNmxYvudOSEiQPn36mNqJsbEsDfPoheLgCFhQ4OCpS9Jj5n8k/twVaVmjvHzU/0YpF+nZD7AsyECXEECgkAIPPvig6Oqkd999V+rXr2+evXv3bnn22WelTJkysnDhwkIekYcjgAAC7hOwTEA4c+ZMWbRokcnE1bBhQ/eNMNuRjhw5Iv369TPr+PWHsDb9Xj+502Ub+bWPP/5YNm/eLJMmTfJY/zgwAghYU2DTwTPS98MfJfFyqnRoEifTel4v4SVDrNlZeoUAApYS0FrLOjOYPR/CgAED5PDhw/LFF19Yqr90BgEEgkvAMgHhn/70J/n2229N0dYWLVpIpUqVnK6Eu8pO7NmzxySwWb16tVm6oU3r/yxYsCDHD+rst0Lfvn3NUlHHekJXrlwJrjuG0SIQhAKrtyfIsEVbJSUtQ564tZY8d0fdIFRgyAj4h0CpUqUs19EePXqY/YOvvfaatG3b1vTvhx9+kDFjxkjFihXlk08+sVyf6RACCASPgGUCQm8VbS3qDOGWLVvMXkNd1uH4ZnP58uXguVsYKQJBKDBj3W/yzr/3ipYVHP/HxvLHFlWDUIEhI+AfAvpBrxUDQl2BtHz5coOo+RK0JSUlmT81qZ0mnKEhgAACvhKwTEBoL0GRF4S7yk7oHsLOnTvLxIkTpWnTpuZ0mmRGN3bnt4dQl4nqY4YPH+6ra8V5EUDAiwJp6RkyfOHPsmTTEYkMD5UP+raW39Wt7MUecCoEEAgUgcTERBk6dKgcPHjQaUg1a9aUKVOmSNmyZQNlqIwDAQT8UMAyAaE37TSJjCaI0SyjunZ/xIgRMm7cOJNlVP996dKlMmjQIAkJse0P0mWhDz30kHmMPRGNN/vLuRBAwLsCF5NSZcBHG2X9vlMSWzZCPh7QRurHRnu3E5wNAQQCSkB/l9B8BTt37jTj0nwJmmHUijOaAQXPYBBAoECBoAwIHesQamIZ3Rdor0O4fft2s3Rj1apVEhoaagC/+uor+eijj0x2Ufu+wwJleQACCPilwLFzV6T3BxtkT8IFaRQXLXMHtJGYaNsSLxoCCCCAAAIIIBBoAj4NCPv37++y54cffujyY3kgAggg4KrAf/adkg37TpuHx5WLkElf7JSTF5KlXf3KMqNPaykdbvtgiIYAAggUR+B///ufbNq0ySSXcaxvrMd0V+K84vSP5yKAQPAK+DQgLCiRjONl0UygNAQQQMCdAlO+3CXv/nu30yEzMkR63lhDxndpJiGaSYaGAAIIFFNg3rx58ve//z3Po/A7TjGBeToCCBRLwKcBob0gvI5APy3TshO6TPP666+XkiVLyrZt2+TkyZNmjb3u86MhgAAC7hT43YQ1cvScc6bgKtGl5MfRd7jzNBwLAQSCXKB79+5y+vRps19Qy0zYcxTYWVgFFeQ3CMNHwMcCPg0IHceuRd+1FqB+gmavQZiSkmJqBmqA+NRTT/mYitMjgIC/CiSlpsv2o4my89h52XX8vPl+a3yiJF5OyXVIBybe569Dpd8IIGBBAc1ToIHgzJkzs8pOWLCbdAkBBIJUwDIBYbdu3SQ8PFx0WYVje/3110VrAC5evDhILxHDRgCBwgjsO3nRBH47jibKr0cTTQD426lLOQ5RJjzUFJpPTkt3+r/GVaPlX8+2K8wpeSwCCCCQr4BmKd+3b59oCa3ss4PQIYAAAr4WsExAeP/995sirfopmi4R1SWjmzdvFl1GoYGivaCrr8E4PwIIWEPg7KUU2RZ/TnYcO28LAI/Zgr8rKc4BXsmQElInJspkDG0YFy2N4sqaP6tXKC1fbDsmj8/9n9OAZvT5P+nQJM4ag6QXCCAQEALz5883v89o/eNbbrlFIiMjncbVoUOHgBgng0AAAf8UsExAOH78ePn6669zVdQAceTIkf4pTK8RQKBYArrcUwM9Dfx01s8WACaaTKDZW1zZUqIzfA3jymYGgGWlXpUoCQvNOznMoTOX5df4c+ZQ111TTmpUKF2s/vJkBBBAILtAQUn0SCrDPYMAAr4UsExAeOHCBdEkM+vWrXPyaNeunTz//POi9QJpCCAQuAKa3fO305fMTJ99yacGfwdOXRT9P8cWFVFSGsRFS2Mz62cL/hpXLSvRpUoGLhAjQwABvxUgIPTbS0fHEQgKAcsEhHbt+Ph4OXDggPlr7dq1pWrVqkFxIRgkAsEkcO6yLvfU2b5E2XnUNvuns4CXU9KcGELNcs8yZpmnBn2Oyz2DyYuxIoCAfwucO2dbhZBXK1eunH8PkN4jgIBfC1guIPRrTTqPAAJOArrcc3fmck/7Pr8dR8/LiQtJOaR0uWejzOWe9pm/gpZ7wo0AAggggAACCCBQPAFLBYQrV66Ub775Rk6dOiXp6c6JIajRU7wLzbMR8KSALuk8dEaXezrv89t/8qKk57Hc0zbjZ5v1Y7mnJ68Ox0YAASsI/O9//5NNmzbJmTNnTO1lx/biiy9aoYv0AQEEglTAMgHhkiVLZPr06XleBjZcB+kdyrAtJ6C1+7Zl1vTTJZ8646fLPS8l573c05bd0xb8aXZPGgIIIBBMAlpSS+ss59X4HSeY7gbGioD1BCwTEA4cOFB+++03adasmak7qKmZExMT5fDhw/L73/+eLKPWu3foUYALaH2+3ccvmH1+JrOn2euXKAnn81/uaS/vUL9KdL7ZPQOcj+EhgAACWQLdu3eX06dPS6lSpUyB+uy1CFkFxc2CAAK+FLBMQNixY0epU6eOCfz69esnr7zyiqnVM3r0aKlZs6YMHjzYl06cG4GAFjhksnva6vltz0z0sv/URUnLtt5Ti7k3rGpP8GLL8KnLPcuS3TOg7w8GhwACxRPQGssaCM6cOVMiIiKKdzCejQACCLhZwDIB4b333is33XSTPPHEE9K7d2956qmnpHPnzqaQ64oVK2Tx4sVuHjqHQyD4BBKvpMp2reXnUM9Pg8CLuSz3rF25jAn27Ms9NfijRl/w3TOMGAEEii8wbtw42bdvn8yaNSvH7GDxj84REEAAgeIJWCYg7Natm5kJnDBhgtx///0SHR0tbdu2lbVr15rN15999lnxRsqzEQgigZS0DNmdYJvxc0z0cjzxSg6FWM3uqfv7Mmf+NABkuWcQ3SwMFQEEPC4wf/588wG3bofR1U+RkZFO5+zQoYPH+8AJEEAAgbwELBMQDhs2THbv3i2LFi2Sl19+2WTisrebb75ZXn/9da4iAgjkInD4zOWr+/xMAJgo+07ksdwzs5B7Y3t5B5Z7ck8hgAACHhegML3HiTkBAggUQ8AyAeGRI0dMKuZ69erJpUuX5L333pP9+/dLgwYNzP7B8uXLF2OYPBUB/xc4b1/umRn0mWLux87LhaRUp8FpMXdd7mnP6mmv7cdyzzzugStnRY5ttf1nXFORUvys8f9XCyNAwFoCBITWuh70BgEEnAUsExB+8cUXJuhr06aNUw+PHz8uSUlJZjkpDYFgENDlnntPXHDa57f96Hk5ls9yT9s+v7KmsDvLPQtxlxz4TmR+L5Er52xPKlVOpN8KkbjmhTgID0UAAQTyFzh3LvNnTB4PK1euHIQIIICAzwQsExDqp2eNGjWSadOmOWE888wzsmPHDqFGj8/uEU7sQYEjZy/n2Oe378QFSc0tu2fmck9bWYeyct01ZPcs9qWZfrPI8czZQfvBrr1ZpP/KYh+aAyCAgG8FdLXR5MmTZf369RIVFSW9evUSzfaZWzt58qS88847snPnTjl79qwsWLDAZAWlIYAAAsEgYPmAsH///qYWIQFhMNyOgTtGXdZpsntmlnbQfX6a8EWXgTq27Ms97Rk+a1R0TkAQuFIeHNn5oyKn9oic3CVyYpft+z1f5X7CVn1FqjYTiW0mUrW5SBj+HrwyHBoBjwhoMBgfH2/yEhw6dEhGjRol48ePN/WOs7dTp07JDz/8INWqVZOXXnrJIwGh1lpet26d6LnS09OduvDcc895xICDIoAAAq4I+Dwg1IBPmwZ9YWFhEhsbm9XvK1euiH5qpxlHlyxZ4sp4eAwCPhXQmb29CVrM3ZbcxRYAJkr82ZzZPatERziUdbCVd6gfGyXhoSE+HYPfn/zoZpHT+22B38k9Iqf3iiT8KpJyOefQMjJESpRw/vfc/q1CbZE4DQ71q6VIletEylX3eyoGgECgCqSmpkqXLl3kzTfflObNbUvA3377bfOnJrHLq+nSzgcffNDtAeHGjRtNYJqWlpbrqfnQO1DvRMaFgH8I+DwgLGijtTLefvvtpmA9DQErCWiQp8GeLfizZ/e8ILoH0LFpMfcGsY5lHVjuWezrqLN9JuDbbfuyz/ydOySiAV1urXQFkcoNRCrXt31Vqi+y9xuR/850fnSLh22B37Ettq8TO0TSUnIeUY+nQaLjV0wjkZCSxR4eB0AAgeIJaKK6fv36ybJly6RMmTLmYPr9mjVrZOrUqV4PCIcOHSpbt26V0qVLy+XLl80H3RcvXjT9qFy5ssybN694A+bZCCCAQDEEfB4Q6pp9bZ9//rlJKqMlJuwtIiJCrr32WrnzzjslPDy8GMP03FN1FpMW2AJatH3X8QuyK+GiSfSif+46fl7OJzl/0qvLPWtVjJT6sWWkUWy0NIiNkgZVykj1CqUDG8hTo0tNkpDTe6SEfp3Sr71S4tRuCTmzTyT5Qu5nDSkpGeWvlfSK9SSjkv2rvmRUbigZEWVzfU7olvkS8tv35v/Sr71Z0pr1cH5ceqqEnNolJY5vNV8hCdts32t20uwtNEzSKzWQjNim5iu9ShNJ12WneZzbU3QcF4FgFihVqpTs2bPHZChfvXq1lMhcBaCzcLo3UIvD59U8NUOoexcrVKggY8eOlYEDB8orr2bx7ogAACAASURBVLwiTZo0kRdffFG6du0qHTt2DOZLxtgRQMDHAj4PCO3jf/zxx6VOnTpm7b4/Nf2kjxYYAmnpGbL/1CXZqcGfCQD1z4sSfy5n0B8TFS4NqkSZ4K9xXFmpX6WM1I2JZLlnEW6FEufjJeT0Xlvgd9IWAJq/Jx7O82gZpStIRqX6kl6hrpntS69Y1xYElq8lEhJahF4U/imm3wnbJCRBA0X9c5uUOLM/1wNllK1mCw5jmkhGXFNJj7lOMnQZKg0BBNwqoMGfBoRWmyHUwvO/+93v5IknnpA+ffrI8OHD5e6775a5c+eaoFX/pCGAAAK+ErBMQOgrAM4bnAJawmHHUed9fnsSci73jAwPlYax0dKwamZZB83uWTVaypYOC064oo469YrzEk+zzDNzqWeybdlUjqZLLyvWti3z1OWdZqlnA5GYhrbyEFZsKZcyl5r+YqttqEtOj28T0fFnb+FRtrqHJnGNJrDR75uKlIyw4sjoEwJ+JaB7CDt37iwTJ06Upk2bmr5rkpmMjAyf7CHU/YxaV/nVV181/dKayzozqEtFtbzWypVkNvarG4zOIhBgApYKCPUH4jfffJNrBq4PP/wwwOgZjjcELiWnZdXzc0z0knjZeU9YSAmROpWjMgM/W1mHxnHRQnbPQlwl3buXeMQW6NkTupg9frts/55Xi6zkvLfPHgBW8N5sXyFGWfiHZqTb9jge+0XkqAaIGij+InIhIeexSoTYAl/HILHa/4nofkUaAggUSkCTyCQkJJhkLpq4bsSIETJu3DiTZVT/fenSpTJo0CAJCbEl8kpOTpbExETp2bOnfPzxx2aJp7u2qzz55JNy+vRp+eSTT8yS0YMHD2aNpWHDhvLee+8Vamw8GAEEEHCngGUCQs0iOn369DzHRgYud172wDuWWe558qItuUtWeYdEOXQm55Jeze6pRdxts362mT+yexbintBsnSd3ZiZ02XM1ANSgJ7dMnnro0DCRinUcZvocZvuCdX/d5TMi8T/ZZhFNoLjFZqoBZPYWVcUWJJoENk1F4prbAkcNIGkIIJCrgGMdQk0s07t376w6hNu3b5chQ4bIqlWrJDQ01GT/vOeee3IcR/MbuCMo1HITWnbiD3/4gxw4cEDeeOMNU+8wJiZGXn/9dTN7SEMAAQR8JWCZgFA/MdMflvrJ3ZYtW8wSD/2kTj/V+/3vf0+WUV/dIRY873Fd7ulQz0+Xfupyz+Q051+ksy/31LIOTaqWZbmnK9dUZ/s0Y6eZ7dPafZkzffr3xPi8j1Cmcs4lnhq46GwfwUvB8qlJIgnbnINEXXqaWxKdkqVs5S8cg0RqJhZszCMQsICALl09c+aMmYW0J72xQLfoAgIIBKmAZQJCzbClSWW0vISmitYMXLfccouMHj1aatasabKF0YJL4HJKWrYZP9uev7OXci73rF25jDSqWtbM+OlyT/2zRoXIHCXmgkvQhdHqjJ6WVdBA70Tmvj57GYfc9r3pIUPDbbN99tINMZl7/HRvX0S0CyflIYUWOL3PttRUZxJ1ual+fy6PpDuONRPts4rUTCw0OU9AwN0C58+flx07dphAUANCx6ZJZ2gIIICArwQsExDee++9ctNNN5kMXLqs46mnnjIbr3Xv4IoVK2Tx4sW+MuK8HhZIzxDZd/KC7DRJXq4mejl0+lKOM8eY5Z5Xa/rpcs96VaIkoiRL5/K8TGa27+DVmn32hC76p9bzy6vpMsWsZC6ZSzwr1WO2z8OvB5cPn5QoEr85M1DMDBLzq5moCWuy10zUpbw0BBDwuMD69evlzTfflLxKVbEtxuOXgBMggEA+ApYJCLt162ZmAidMmCD333+/Kdratm1bWbt2rfkk7bPPPuNCBoDAifNJsv1YolPwp8s9k1JzLvfUYu66zLNx1bLmT5Z7FnADaLbOrL19mQXbNaHL6b0iuhQxt6azfZXqOmfx1Jk/ne3TLJg0/xJITxVJ2H41SDRZTreK6H7F7E2zuMY0cg4Sq7awbgZX/7oS9BYBJ4H+/fubLTB5NQJCbhgEEPClgGUCwmHDhsnu3btl0aJFJiPYpk2bsly0WL1uuqb5j8CVlHSzvHOnfcYvs8TDmTyWe9qXedqXfbLcM49rrbN9Zw/Y9vWZ/X32jJ67RS4cz/sGiYrNucSzcj2R8teyt89/XlZF76kuLzXBoT2BzVYRXYaaWytbzTlI1FlFXYaaWdy76J3gmQgEr4Bui0lJSZHXXnvNJJApWbKkE0bFihWDF4eRI4CAzwUsExBqEVldV6+1eTQzmKZg3r9/v/nBqfsHy5cv73MsOpBTQJd7Hjh10SGzp23J52+n8lnuqRk+M2f+WO6Zx12lSURO2DN5OiR0ObVXJC059ydp/bqKtkLtZqmn2dtXzzYLFF6G2xcBZwGtmXhUl5pmBokaMCb8mnfNxNgmzoEiNRO5oxBwWeDFF18UzWz66aefZpW5cPnJPBABBBDwsIBlAkIPj5PDu0HgxIUk24yfQ0H33cfP51juWTos1AR8+mXKO+hyz2vKSjmKuTtfBS0vcOaArUadqduXOeOnM3+51aizPzs6LtsSz3q2v5vZvhJuuNIcImgF9J7U+1AT12h2Uw0S9fuLJ3KSaNZY/cAha19iZjkMnY2mIYCAHDt2LEshPj5exowZI7riSfMjlC1b1kkoLi4OMQQQQMBnApYJCM+dOydff/21mRXUFMy1atWS22+/PccPTZ9JBdGJdT+fzvKZ0g4Owd/pi84zU1rMXbN72pd72gPAmhXJ7ul0uySdz5ztywz67Es9dclenrN9pXLZ25c52xcWGUR3I0O1hIDuQTzyP+dMp/pBRm41E8vE5AwSKzdgabIlLiSd8KbAXXfd5fLp2EPoMhUPRAABDwhYIiD88ccfTfYtXSrq2LSQrJaduOGGGzwwdA6p29F0uafO+m0/enW/32+nL0m2jNgSExUhjUwhd9uMn2b6rB8bTXZP+22UniZy9jfnmT6d9dPg7+LJvG+26Ko5l3jqks9yNZnt4yVqbQFNVKQJa8wsov6py0+35VEzMSJnzcS45ixltvYVpnfFFCAgLCYgT0cAAa8J+Dwg1L2DWmoir1TMpUqVkhkzZsg111zjNZRAPJHW7tsWf86poPuu4+dFk784Nl3uqdk9HYM/lns6CGmq/4TMun2OCV3O7BdJc66PmPUsLSCuS+s00NOZEk3mYvb4NRIJKx2ItxtjClYB/SRJXwsmSHT4SjySu0iFWpmziZnLTXX5abkawarHuANMQLOku9ratWvn6kN5HAIIIOB2AZ8HhFOnTpXly5dLWFiYaFrmNm3amDIT//nPf2TOnDkmK1eXLl3kySefdPvg/emAX2w7JtuPnjddrl6htDz4f9Vz7b4u99RAz9TzO5q57PNYopy8kHO5Z61KutzzalkHnf1juaeI6Gyf/lJrr9d3InOmT/9+6VTet03Za3Lf26e/4LK3z59ebvTV3QJXzokc/dk5SNSaiVomI3srVV4krqmIJq2p2twWMMY0FqFmoruvCsdDAAEEEEDACPg8IBwwYIAcPHhQ9M8ePXo4XZZ58+bJ3//+d6ldu7bMnDkzaC/ZB+v2y9gVvzqN/9k76kuXVtWvlnbIDP50CWhuyz3NMs/MJZ8s98yk1F9S9ZfS7AldTu/P/RdVfZrO6OlsnynYnjnbZ2b+GjLbF7SvUAZeJAGdUdfXnz1xjS47zbdmYsNsNRNbUjOxSPA8ydcCSUlJsmvXLomIiDC/3+gH4jQEEEDAlwI+Dwj/+Mc/mr2DGvhVq1bNyeLQoUPy6KOPiu4lXLZsmS+dfHrue99dmzU7mF9HSoWF2JZ7xpXNCv6CfrmnzkBogGffz2fP5Kl/z61Ytx1Ya7FlX+Kpfy9bndk+n74aOHnAC5w7dHVPoj3Tqc7Y59Z0Vl5nEGObiVTN/LNiHV6jAX+T+M8A16xZIxs2bJC2bdvKbbfdJomJifLMM8+IZh3VVrNmTRk/frzExpKd13+uKj1FIPAEfB4Q3n333WaJqC4b1f2Cjk33FXbq1MnU7Pniiy8CT9/FEdUa8Xmuj7y3aZxoIXez7DPYl3vqUs7sM336dy3roEtAc2uarTO3vX0688fePhfvTh6GgBcEki86zCRmJrHJs2ZiGRGtmegYJOoSVN3LS0PAywIvvfSS/PTTT/KnP/1JWrVqJR988IHMnz/fqReaUX3kyJFe7hmnQwABBK4K+DwgtGfh0to8Wm7CsWmg+P3335t/CuaUzN1n/Ec27D/tZFOtfGn5fsTtwXUv62yfFma3l22wB4Ca/j6/2b5y1XMu8dQln/rvNAQQ8E8BUzNxV84ENrnWTCxh+/DHKUhsJqI1PWkIeFBAt8KcOnXKFKSPjIyUxx57zJTX6tWrl/mwe+7cuVKpUqUcQaIHu8ShEUAAgRwClgkIC7o2wRwQ/mffKXlszkY5f8WWgCG6VEmZ1K2FdGgSoL/M6C90uSV00dm+3OqeKUp4mat7+2LqOyd3YWagoJcX/49A4AhcOJ4zSMyzZmJlW5Coy07tX7pCICQ0cDwYiU8FOnbsaAK/FStWiO4d1FVPJUuWNAGi/rv+v34YvmrVKp/2k5MjgEBwC/g8INQfhq60lStXuvKwgH1M4uUU2XY00YyveoVIqVHBz8sVaEKJ03ttgV/WTJ9+v0fkytm8r6Nm7DR7+zK/7MlddC8RDQEEEMhNwKlmoi45tddMvJjz0SUjbFlNHYNEzXYaHoUtAoUW6Ny5s1y8eFGWLFkie/fuleHDh0vTpk1lypQpJou6/g4UHR1t/p+GAAII+ErA5wGhrwbOeb0kcCEhl4Quu21F3POc7YvK3NvnkMXTHvjpL2s0BBBAoLgCWTUTf3FOYpNXzcTy1zoHiRowlq9Z3F7w/AAXePrpp2Xnzp1Sp04dk0Dv2LFj0rdvX+ndu3dWhvVgz6Qe4LcAw0PALwQICP3iMlm8kzrbZ9/Xl7W/T2f7dotoIffcmu4X1dk+E+g5fjUQia5q8QHTPQQQCFgBUzNxs0OQuEXkxM48aiaWs9VL1KQ1cZk1E6tcR83EgL05Cj8wzTI6YcKErCdq8rzZs2dLTEyMLFiwQGbNmmWWkQ4ZMqTwB+cZCCCAgJsECAjdBBkUhzl/LFtClz22v5vZvozcCSKiHTJ52vf26cxffZHQ8KBgY5AIIODnAqZm4vZsexO35r68Xfcfal1SxyDxGq2ZWN7PEeh+UQW+/fZbWbt2rYSGhkrXrl2lYcOG5lAfffSRaHmtBx54QK677rqiHp7nIYAAAsUWICAsNmGAHSAt+WpCl6wyDpmBX9L53AdrZvtqOhdqty/xJItfgN0gDAcBBLIETM1E3ZPo8KXJr3JruvLBMUjUJacV61IzkdspSyA1NVW2bdsmdevWlago9qxyayCAgPcECAi9Z22tM50/mi2hyx7bXj/9BSff2b5clnhqOndm+6x1fekNAgj4RsDUTNR9ifa9iVtETM3EpJz90VqoWjPRMYGNfk9mZN9cOx+f9dy5c/Lggw/KpEmTpEWLFj7uDadHAIFgEiAg9JerrZk3j2219bZ8DRFNcFBQ019ANMjL2teXGfRpCvbkC7k/W2f79Ni6pDNrf1/mEs+o2ILOyP8jgAACCGQXyKqZ6BAkasB48WROK/0ZrDOH2YNE9lYH/H1FQBjwl5gBImBZAQJCy14ah44d+E5kfi8RTXagrVQ5kc5/EWl0v+3vmhXPXrfPlHHI/NLZvrxaRNncyzeY2b4wf1ChjwgggIB/C5iaiRok6pLTrbbvTc3EXPZkR1bKGSTqXkVqJvr3PeDQewLCgLmUDAQBvxMgIPSHS/ZhR5HfvnfuaXikLXFBXkuR7I+uUMu2t08DPZ31i2lo+57ZPn+48vQRAQSCUeDwf6/uSzy+TeTozyKpV3KXuKaVSBWHuolVW4hoMi+a3wkQEPrdJaPDCASMAAGhP1zK18vl30udMXRa4qn7/BrYlh0x2+cPV5g+IoAAAnkLONZMPLpF5HhmEpvE+Nyfo/URdclpbDORqs1s37uyzYBr4FMBAkKf8nNyBIJagIDQHy7/9JtFjmfuH7T3V5MO9FmaOdtXxR9GQR8RQAABBNwpYK+ZqDOIuuw0YYdt2WluTRPY6OyhlsDQWomazKba/7mzNxyrmAIEhMUE5OkIIFBkAQLCItN58Ynr/yKyaqTzCW8bIdI+2795sUucCgEEEEDAggJaM1G3EuiHiEd/sf2pwaJ9D7pjl03NxAbOM4lVW4qUrmDBgQV+ly5evCivvvqqPPnkk6b0BA0BBBDwlgABobeki3ueHStEdKmQZhut2lykZa/iHpHnI4AAAggEi8DZg5nB4S+29xINFPOsmRhnCxJ1qakuOdXvde+5ZkClFUsgKSlJzp49KxnZEgfFxcUV67g8GQEEECiOAAFhcfR4LgIIIIAAAv4qoOWHzCziFluQqDOJJ7bnUTOxtG2paVzzq0GiBoxhpfMfvX6IWaq8vwq5rd+HDh0y9QV//fXXXI/55Zdfuu1cHAgBBBAorAABYWHFeDwCCCCAAAKBKpCeZqtf6xgk6vd51UysUDtnkFj2GtteRi2XpDOT2jR47DEvaJPbDB06VLZuzZYLwOEeIiAM1BcU40LAPwQICP3jOtFLBBBAAAEEfCdw/qiIvQSGqZuoNRP35t4frXOblpRzprFhR5Gen/huDD4883333Sfp6enSq1cvqVq1qoSEhDj1pn379j7sHadGAIFgFyAgDPY7gPEjgAACCCBQFAGtjXhsq8Ns4i+2hDbJF3M/mpbDeG5LUc7k98/p16+fVKhQQaZMmeL3Y2EACCAQeAIEhIF3TRkRAggggAACvhM4tUdkWi4lLWKbigz+3nf98uGZv/rqK3nnnXdk7Nixcv311/uwJ5waAQQQyClAQMhdgQACCCCAAALuFfikp8jOlc7HDOJySbpU9OTJk2bZaFRUlERGRjrZzJs3z73+HA0BBBAohAABYSGweCgCCCCAAAIIuCCg2UW/nmDLXKqt1q0ivxsctBlH77rrrnzRSCrjwj3FQxBAwGMCBIQeo+XACCCAAAIIIICAyLRp0/JleOaZZ2BCAAEEfCZAQOgzek6MAAIIIIAAAggggAACCPhWgIDQt/6cHQEEEEAAAQSCQCA1NVXWrVsne/fulSZNmkidOnXk7NmzpgxFdHR0EAgwRAQQsKoAAaFVrwz9QgABBBBAAIGAEDh//rwMHz7cBIPaunfvLo0aNZIxY8ZIjx49ZMCAAQExTgaBAAL+KUBA6J/XjV4jgAACCCCAgJ8IaP3BlSuvZl3VgPDRRx+Vhx56SGJjY+X999/3k5HQTQQQCEQBAsJAvKqMCQEEEEAAAQQsI9CtWzcJDQ01gZ/OCGpAOHDgQHnhhRdk3759smTJEsv0lY4ggEDwCRAQBt81Z8QIIIAAAggg4EWBDh06yE033WSWiGoJCntAOHLkSNm0aZOsWrXKi73hVAgggICzAAEhdwQCCCCAAAIIIOBBgZ49e0pKSopMnz5dHn74YRMQ3nrrrTJ06FCpVKmSzJ0714Nn59AIIIBA/gIEhNwhCCCAAAIIIICABwW0DuFnn30mJUuWFM02WqpUKbly5Yo54wMPPCCDBw/24Nk5NAIIIEBAyD2AAAIIIIAAAgj4TECzjD7//PNy4MABpz7Url1bJk+eLFFRUT7rGydGAAEEmCHkHkAAAQQQQAABBDwskJycLF999ZXs3LnTnKlhw4Zy5513Snh4uIfPzOERQAABZghzCFy6dMl8Ird+/XrzqVyvXr2kU6dOeUrt2LHDrPvfvXu3eXy/fv2kY8eO3FsIIIAAAggggEChBdLS0uTkyZMSExMjISEhhX4+T0AAAQTcKRCUM4QaDMbHx8vLL78shw4dklGjRsn48eOlWbNmOWxPnTplUkM/8sgjZgO4rvnXgLJBgwbuvA4cCwEEEEAAAQQCVGD58uXy888/m98ndA+hFqnXgLB8+fIyceJEqVu3boCOnGEhgIA/CARdQKg/iLt06SJvvvmmNG/e3Fyjt99+2/w5bNiwHNdMZwZ17f+LL77oD9eTPiKAAAIIIICAxQSeeuopOX78uPzzn/8UTTCzYsWKrB5qOYqxY8darMd0BwEEgkkg6ALCI0eOmCWfy5YtkzJlyphrrd+vWbNGpk6dmuPaDxkyRJo0aSIbN240n+bp9/pvVapUCab7hLEigAACCCCAQBEFOnfubFYW/fnPf5bHHnvMrE7SIHDKlCmiewsXLlxYxCPzNAQQQKD4AkEXEO7Zs8ekd169erWUKFHCCH755ZeyYMECmTVrVg5RrRektYMmTJgg1apVk3fffVcSEhLMHkRt9rTRxb8UHAEBBBBAAAEEiiugJR2s1u655x5TmP7VV1+V+++/X6pXry4zZ86U119/3eQzoDC91a4Y/UEguASCLiAs7Ayhzia2adMmq0aQ7j3s27evqSdUunRpuXz5cnDdMYwWAQQQQAABiwroB71WDAh79OhhZgLvvvtuWbx4sdxxxx0yYsQIU5heZwsXLVpkUVG6hQACwSAQdAGh7iHUpRu6ibtp06bmGutsX0ZGRq57CN944w2TBcxeNDZ7QBgMNwljRAABBBBAAIGiC+jvGf/617+yDjB69Gi55ZZbpFu3blKrVi2zdJSGAAII+Eog6AJChdYkMrrsU7OMHj582HxKN27cOJNlVP996dKlMmjQIJMKesOGDTJp0iSz7v+aa67JWjKq/0ZDAAEEEEAAAQQKErh48aLMnj3bzAa2atVKHnroIfP7x5w5c6R169aiS0ppCCCAgK8EgjIgdKxDqIllevfunVWHcPv27SZpjK7nDw0NNddlyZIlZo9hUlKSyUyq/1+5cmVfXTPOiwACCCCAAAIIIIAAAgi4RSAoA0K3yHEQBBBAAAEEEEDARQEtYbVjxw45c+aM2abi2Dp06ODiUXgYAggg4H4BAkL3m3JEBBBAAAEEEEAgS0AziWr947wyk2u2cxoCCCDgKwECQl/Jc14EEEAAAQQQCAqB/v37mz2DeTUCwqC4DRgkApYVICC07KWhYwgggAACCCAQCAIdO3Y05TDGjBkjVatWNUnrHFvFihUDYZiMAQEE/FSAgNBPLxzdRgABBBBAAAH/EHj22WfNvsGpU6f6R4fpJQIIBJUAAWFQXW4GiwACCCCAQHAIOGYUj4qKkl69emVlFM9N4Pvvv5e//vWvcurUKZNRfPjw4VKpUiXzUC1TpWWo7E0zlC9btsxlyLVr15o9hD179pR27dpJZGSk03Pj4uJcPhYPRAABBNwtQEDoblGOhwACCCCAAAI+F9Bi8PHx8SaY0/p/o0aNkvHjx5uaw9nbsWPHZMCAAfLSSy+ZOoHTpk0z2UC1BrE9IGzbtq3ceeed5u8lSpSQsLAwl8d411135ftY9hC6TMkDEUDAAwIEhB5A5ZAIIIAAAggg4DuB1NRU6dKli5mV09k+bW+//bb5c9iwYTk69o9//EN++uknmTRpkvm/hIQEM6Oo/x4TE2OCyltvvVWKWh6CgNB39wJnRgCBggUICAs24hEIIIAAAggg4EcCR44ckX79+pllnbq8U5t+v2bNmlz38U2YMEHKly8vgwcPzhrlAw88YGYVW7dubQLCffv2mf+rXr26PPzww9KyZUuXRXTJaH5Nl5HSEEAAAV8JEBAWUz6vmkLFPCxPRwABBBBAAIEiCGg2zz179pjgbvXq1WZ5pzZdlrlgwQKZNWtWjqO++uqrUq9ePXnkkUey/q9Pnz4yaNAgs+dP9w9qJtCIiAj54YcfZM6cOfL+++9L7dq1i9BDnoIAAghYS4CAsJjX4/Lly8U8Ak9HAAEEEEAAAXcIaPCnAaG7Zwiz92306NHSqFEj0aDR1ab7GRcuXCh79+6V9u3bmwB0x44dZgaSwNJVRR6HAAKeECAg9IQqx0QAAQQQQAABnwnoHsLOnTvLxIkTpWnTpqYfmmRGSz/ktYdw8+bNWUlkTpw4YZaF2vcQZh/Ia6+9ZoI4XZbqStu/f78899xzoplPtXXv3l1uueUWeeaZZ0RrFA4dOtSVw/AYBBBAwCMCBIQeYeWgCCCAAAIIIOBLAU0io8lhdP/f4cOHZcSIETJu3DiTZVT/fenSpWZJqBaJP3r0qPleZ/50b+B7770nGhRqllHdGqLLRFu0aGEyi65bt85kIZ0yZYqZJXSl2ctW1KxZUw4ePGgCwoEDB5oZRj3m7NmzXTkMj0EAAQQ8IkBA6BFWDooAAggggAACvhRwrEOoiWV69+6dVYdw+/btMmTIEFm1apWEhoaabmqgN2PGjBx1CHVriCaX0Vk+nXnUpDJ6LJ3hc7X94Q9/EK01qHUONVOpPSDUAHTLli3y2WefuXooHocAAgi4XYCA0O2kHBABBBBAAAEEELgqcO+995r6hloGQ0tQ2ANCDUo1Ac7KlSvhQgABBHwmQEDoM3pOjAACCCCAAALBIKBF73VZqha+12Wrum+wWrVq8re//U3q1KljZiZpCCCAgK8ECAh9Jc95EUAAAQQQQCAoBDS76MyZM3Md65NPPildunQJCgcGiQAC1hQgILTmdaFXCCCAAAIIIBAgAunp6SYJje5ZdGy6lFSzj2piGxoCCCDgKwECQl/Jc14EEEAAAQQQCCoBrY+4c+dOM+aGDRuaZaM0BBBAwNcCBIS+vgKcHwEEEEAAAQQQQAABBBDwkQABoY/gOS0CCCCAAAIIBLbAmDFjChxgeHi4KWVxzz33SExMTIGP5wEIIICAuwUICN0tyvEQQAABBBBAAAERU2LC1aa1Et955x2pVauWq0/hcQgggIBbBAgI3cLIQRBAAAEEEEAAAWcBLS9RUNNi9xkZGeZhWuz+tddeK+gp/D8CCCDgVgECQrdycjAEEEAAAQQQQMB1gZSUFPnkk09k7ty5Uq5cOVm0kFYZowAAFY1JREFUaJHrT+aRCCCAgBsECAjdgMghEEAAAQQQQACBogpcuHDB1CIsUaKErF69uqiH4XkIIIBAkQQICIvExpMQQAABBBBAAAH3CSQnJ5uDaZIZGgIIIOBNAQJCb2pzLgQQQAABBBBAAAEEEEDAQgIEhBa6GHQFAQQQQAABBBBAAAEEEPCmAAGhN7U5FwIIIIAAAggggAACCCBgIQECQgtdDLqCAAIIIIAAAggggAACCHhTgIDQm9qcCwEEEEAAAQQQQAABBBCwkAABoYUuBl1BAAEEEEAAAQQQQAABBLwpQEDoTW3OhQACCCCAAAIIIIAAAghYSICA0EIXg64ggAACCCCAAAIIIIAAAt4UICD0pjbnQgABBBBAAAEEEEAAAQQsJEBAaKGLQVcQQAABBBBAAAEEEEAAAW8KEBB6U5tzIYAAAggggAACCCCAAAIWEiAgtNDFoCsIIIAAAggggAACCCCAgDcFCAi9qc25EEAAAQQQQAABBBBAAAELCRAQWuhi0BUEEEAAAQQQQAABBBBAwJsCBITe1OZcCCCAAAIIIIAAAggggICFBAgILXQx6AoCCCCAAAIIIIAAAggg4E0BAkJvanMuBBBAAAEEEEAAAQQQQMBCAgSEFroYdAUBBBBAAAEEEEAAAQQQ8KYAAaE3tTkXAggggAACCCCAAAIIIGAhAQJCC10MuoIAAggggAACCCCAAAIIeFOAgNCb2pwLAQQQQAABBBBAAAEEELCQAAGhhS4GXUEAAQQQQAABBBBAAAEEvClAQOhNbc6FAAIIIIAAAggggAACCFhIgIDQQheDriCAAAIIIIAAAggggAAC3hQgIPSmNudCAAEEEEAAAQQQQAABBCwkQEBooYtBVxBAAAEEEEAAAQQQQAABbwoQEHpTm3MhgAACCCCAAAIIIIAAAhYSICC00MWgKwgggAACCCCAAAIIIICANwUICL2pzbkQQAABBBBAAAEEEEAAAQsJEBBa6GLQFQQQQAABBBBAAAEEEEDAmwIEhN7U5lwIIIAAAggggAACCCCAgIUECAgtdDHoCgIIIIAAAggggAACCCDgTQECQm9qcy4EEEAAAQQQQAABBBBAwEICBIQWuhh0BQEEEEAAAQQQQAABBBDwpgABoTe1ORcCCCCAAAIIIIAAAgggYCEBAkILXQy6ggACCCCAAAIIIIAAAgh4U4CA0JvanAsBBBBAAAEEEEAAAQQQsJAAAaGFLgZdQQABBBBAAAEEEEAAAQS8KUBA6E1tzoUAAggggAACCCCAAAIIWEiAgNBCF4OuIIAAAggggAACCCCAAALeFCAg9KY250IAAQQQQAABBBBAAAEELCRAQGihi0FXEEAAAQQQQAABBBBAAAFvChAQelObcyGAAAIIIIAAAggggAACFhIgILTQxaArCCCAAAIIIIAAAggggIA3BQgIvanNuRBAAAEEEEAAAQQQQAABCwkQEFroYtAVBBBAAAEEEEAAAQQQQMCbAgSE3tTmXAgggAACCCCAAAIIIICAhQQICC10MegKAggggAACCCCAAAIIIOBNAQJCb2pzLgQQQAABBBBAAAEEEEDAQgJBGRBeunRJJk+eLOvXr5eoqCjp1auXdOrUKdfLsnDhQpk5c6bT//31r3+VunXrWugy0hUEEEAAAQQQcBQozHs9cggggEAwCwRlQKjBYHx8vLz88sty6NAhGTVqlIwfP16aNWuW417QgHDv3r3y/PPPZ/1fWFiYlChRIpjvG8aOAAIIIICApQUK815v6YHQOQQQQMDDAkEXEKampkqXLl3kzTfflObNmxvet99+2/w5bNiwXAPC/fv3y4svvujhS8HhEUAAAQQQQMAdAoV9r3fHOTkGAggg4K8CQRcQHjlyRPr16yfLli2TMmXKmOum369Zs0amTp2aa0A4f/580VnBSpUqyT333JPn8lJ/vQnoNwIIIIAAAoEkUNj3+kAaO2NBAAEECisQdAHhnj17ZPDgwbJ69eqsZZ9ffvmlLFiwQGbNmpXDb+fOnZKUlGSCwd27d5ugccCAAXLfffeZx86dO7ew5jweAQQQQAABBDwgEBISYvICFPa93gNd4ZAIIICA3wgEXUBY3E8N//nPf8qPP/4okyZNMhd5zpw5fnOx6SgCCCCAAAKBLBAaGmoCwuK+1weyEWNDAAEEsgsEXUCo+wo6d+4sEydOlKZNmxoP3XiekZGR6x7C7GBLliyR7777TqZMmcLdhAACCCCAAAIWFCjue70Fh0SXEEAAAY8JBF1AqJKaRCYhIcFkGT18+LCMGDFCxo0bZ7KM6r8vXbpUBg0aJLr05Ouvv5YGDRpI+fLlZdeuXfKnP/1JunbtKt26dfPYReHACCCAAAIIIFA8gfze64t3ZJ6NAAIIBJZAUAaEjrWJNLFM7969sxLFbN++XYYMGSKrVq0SXXry7rvvyrp16+TChQsSExMjHTp0kJ49e5pgkYYAAggggAAC1hTI773emj2mVwgggIBvBIIyICwq9ffffy9alP7UqVOmZMXw4cNNshltupRUE9VoiYp7771XnnvuuRyn0Uym69evN3UPDx48aPYh6sb3atWqybPPPpu1hPXkyZPyzjvviCa0OXv2rEl4U7FiRafjaR+eeuopk9RG+6T7Gk+fPm2OpVlU27Ztm/X4/M71008/yccff2wS5lSuXFk+/PDDrOelpaWZrKrZm5btePLJJ4vKyPMQyCHgrddWfve7vVPeeG3puX777TeZNm2aeZ2XLl1a7rjjjqyVCdwiCLhLQPe5ayZt/Xmu95i+b+iHna6+b+n2CF0lo4nUivpeUpTXVn4/Ewp6HWt9YU0At2PHDrO6Z+DAgXLbbbe5i5TjIIAAAgEnQEDo4iU9duyYyS760ksvSatWrcwvcmfOnJE///nP5gi6r7BkyZLyzTffmF/ucgsIJ0yYIDfccIPcfvvt5lgatD388MOiWU71TVuDO52x1F9If/jhBxPc6flyCwhXrlwpOpupGVNnz54td999t1SpUsXMZv7lL3+Rv/3tb+b56enp+Z5Lj3H06FETTH7++edOAaGOKzk5OUtIs61qf8ePH2+W19IQcIeAN19bBd3vOh5vvbaeeOIJqV+/vvkFXV/zWutUk2F07NjRHawcAwH597//LTNmzDBbHfS9RT+MbN++vbnPXH3f0p/5ulJGP/zM733Lna+tgn4m5HcuDXw1ALz55pvN6h/d6jF69GgTINauXZu7AgEEEEAgFwECQhdvi3/84x+in0ras4vqXkN9U9V/16Wk9qaBor4hZQ8INTDr3r27KW2h+xY10Fu8eLFERESYpz7yyCPm684778w61rlz5+TBBx/MNSB8/fXXzWNvueWWHCPQGcL+/fubT0S3bdvm0rnWrl1rgkHHGcLsB3YMXF1k42EIFCjgi9dWfve7t15bmtzqjTfeMKsNtGlyq1KlSjH7XuAdwwNcFdD3GU2e1qdPH/OUr776ynz4mD07dl7vW/v27TMJ2GbOnOmW9xJXX1uu/kzI7XV84MABeeyxx2T58uVZ76/6OtMPTPVDGBoCCCCAQE4BAkIX7wqd3dOlJzojZ28PPPCA+cS1devWBQaE+onm9OnTzaeUOgPx2WefmaWe9jZmzBipXr26+QTW3vIKCDV72kMPPWSWekZGRjqNQGf69BNdfQOvWbOmy+dyJSDUJbL6y6v9lwsX6XgYAvkK+OK1ldf97s3Xlq4IOHHihAkAdYZQk1vp/mVdRUBDwB0CPXr0MPeUfQuBbmnQYElXg4SHhxf4vjV//ny5ePGieV9y9X3LHa8tV38m5HYuHePjjz8uK1asyBqjBoSaB8C+oscdthwDAQQQCCQBAkIXr+arr74q9erVM7N49qaBkWYjbdeuXYFvrH//+9/NklJdwqIzg7okVDOg2ZvOPOps4TPPPFNgQLhp0yYzM/nWW2859T4lJUVGjhwp1157bdZxXD1XQQGhzojqeD/66COJi4tzUY2HIVCwgC9eW3nd7958belSNv3FV1cMaPvjH/8oTz/9dMFgPAIBFwX0ntJgqEWLFuYZ9pUtixYtknLlyhX4vjV06FB59NFHzRaB4r6XFOa15erPhNxex/qhjvZZl8bq+63u0dUPW+rWrWuWvtIQQAABBHIKEBC6eFe4+ollXktvdGZR31x1c76rn7TmNUOoM4u6n8Ox9IW+Ceobf1hYmNkvYc+C6uq5CgoIdTZy8+bNWUtmXWTjYQgUKOCL11Ze97u3XltXrlwxM/m6JFy/NHmUlr5p06ZN1v6uAuF4AAIFCBRnhlBn1Pr27SsLFy407yfFfS8pzGvL1Z8Jeb2Oddno+++/L3v37pUaNWqY1TKXL182paZoCCCAAAIEhEW+B3RGTgMi+5ITXeqlv9C5sodQl3FqQKjLb0qUKGH2YugnlpqZVAM4bbrvTz/NdGUPoX76qXsx9E1Om+5Z1F8mNSh87bXXzEykvbl6roICQv3FQPdMavIaGgLuFPDFayuv+91br60jR46Y17wuHdckVNo0E6QmpdIMwzQE3CGgewh1mb89iYwmmdFVHq7sIdR7UZOU2YOo4r6XFOa15erPhILet+yGut3hxhtvpH6wO24qjoEAAgEpwAyhi5dVM3Hq8lCdfWvZsqW89957Zv+PPUDUoEy/dJ+g/qlLvzS1t35pTcOtW7fKCy+8YM6mCWb0zVGTvmhNQ93or5lC7VlG9TGa3TMxMdH8v87OVahQweyH0Oxr+uamj7UfS7N+6gyD7kO0B5gaFOqnugWdS/9fA0l949dfEnTvoQat9uPoObZs2WL2SuonxZr0goaAOwW8+drK73735mtLf0bo7E3Xrl3NDKGuBhg7dqzUqVPH7PmiIeAOAX1v0URmur1A95vrlgJ937EHiPm9b2lmUs2ofdddd7n0vuXO11ZBPxMKet/SPfuaREbbv/71L5NgRgNh3r/ccVdxDAQQCEQBAsJCXFUNmjSFd251CDU7p36q6dg0q6imv9ZATfczOO411Bpkum9Ql7Rcc801JiupZoPTllf9P00EoMt2tMaSfa+h/hKbW5IXnZHUpDfa8juXZk7VT5EdW6NGjUxZDXvTvY76BqyBKA0BTwh467WV3/2uM3TefG3pL626jE6TYOiHPf/3f/9nXtdRUVGeIOaYQSqggdCnn36aax3CvN63NImMvn/pB4SaTM3eivpeUpTXVn4/Ewp639I9+3pO/WBV31f1A1r7ipogvQ0YNgIIIJCvAAGhh28QDe50r5/j7F9xTqkzdZooQPca0RAIZgFeW8F89Rm7JwW0oLt+KKj78NzReN9yhyLHQAABBDwnQEDoOVtzZF3KqUXrO3Xq5JYzaZF6rV9mr1/oloNyEAT8UIDXlh9eNLrsFwIaEOqWBd13547G+5Y7FDkGAggg4DkBAkLP2XJkBBBAAAEEEEAAAQQQQMDSAgSElr48dA4BBBBAAAEEEEAAAQQQ8JwAAaHnbDkyAggggAACCCCAAAIIIGBpAQJCS18eOocAAggggAACCCCAAAIIeE6AgNBzthwZAQQQQAABBBBAAAEEELC0AAGhpS8PnUMAAQQQQAABBBBAAAEEPCdAQOg5W46MAAIIIIAAAggggAACCFhagIDQ0peHziGAAAIIIIAAAggggAACnhMgIPScLUdGAAEEEEAAAQQQQAABBCwtQEBo6ctD5xBAAAEEEEAAAQQQQAABzwkQEHrOliMjgAACCCCAAAIIIIAAApYWICC09OWhcwgggAACCCCAAAIIIICA5wQICD1ny5ERQAABBBBAAAEEEEAAAUsLEBBa+vLQOQQQQAABBBBAAAEEEEDAcwIEhJ6z5cgIIIAAAggggAACCCCAgKUFCAgtfXnoHAIIIIAAAggggAACCCDgOQECQs/ZcmQEEEAAAQQQQAABBBBAwNICBISWvjx0DgEEEEAAAQQQQAABBBDwnAABoedsOTICCCCAAAIIIIAAAgggYGkBAkJLXx46hwACCCCAAAIIIIAAAgh4ToCA0HO2HBkBBBBAAAEEEEAAAQQQsLQAAaGlLw+dQwABBBBAAAEEEEAAAQQ8J0BA6DlbjowAAggggAACCCCAAAIIWFqAgNDSl4fOIYAAAggggAACCCCAAAKeEyAg9JwtR0YAAQQQQAABBBBAAAEELC1AQGjpy0PnEEAAAQQQQAABBBBAAAHPCRAQes6WIyOAAAIIIIAAAggggAAClhYgILT05aFzCCCAAAIIIIAAAggggIDnBAgIPWfLkRFAAAEEEEAAAQQQQAABSwsQEFr68tA5BBBAAAEEEEAAAQQQQMBzAgSEnrPlyAgggAACCCCAAAIIIICApQUICC19eegcAggggAACCCCAAAIIIOA5AQJCz9lyZAQQQAABBBBAAAEEEEDA0gIEhJa+PHQOAQQQQAABBBBAAAEEEPCcAAGh52w5MgIIIIAAAggggAACCCBgaQECQktfHjqHAAIIIIAAAggggAACCHhOgIDQc7YcGQEEEEAAAQQQQAABBBCwtAABoaUvD51DAAEEEEAAAQQQQAABBDwnQEDoOVuOjAACCCCAAAIIIIAAAghYWoCA0NKXh84hgAACCCCAAAIIIIAAAp4TICD0nC1HRgABBBBAAAEEEEAAAQQsLUBAaOnLQ+cQQAABBBBAAAEEEEAAAc8JEBB6zpYjI4AAAggggAACCCCAAAKWFiAgtPTloXMIIIAAAggggAACCCCAgOcECAg9Z8uREUAAAQQQQAABBBBAAAFLCxAQWvry0DkEEEAAAQQQQAABBBBAwHMCBISes+XICCCAAAIIIIAAAggggIClBQgILX156BwCCCCAAAIIIIAAAggg4DkBAkLP2XJkBBBAAAEEEEAAAQQQQMDSAgSElr48dA4BBBBAAAEEEEAAAQQQ8JwAAaHnbDkyAggggAACCCCAAAIIIGBpAQJCS18eOocAAggggAACCCCAAAIIeE6AgNBzthwZAQQQQAABBBBAAAEEELC0AAGhpS8PnUMAAQQQQAABBBBAAAEEPCdAQOg5W46MAAIIIIAAAggggAACCFhagIDQ0peHziGAAAIIIIAAAggggAACnhMgIPScLUdGAAEEEEAAAQQQQAABBCwtQEBo6ctD5xBAAAEEEEAAAQQQQAABzwkQEHrOliMjgAACCCCAAAIIIIAAApYWICC09OWhcwgggAACCCCAAAIIIICA5wQICD1ny5ERQAABBBBAAAEEEEAAAUsLEBBa+vLQOQQQQAABBBBAAAEEEEDAcwIEhJ6z5cgIIIAAAggggAACCCCAgKUFCAgtfXnoHAIIIIAAAggggAACCCDgOQECQs/ZcmQEEEAAAQQQQAABBBBAwNIC/w8e9QGp54Az8AAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_historical_datadrift_metric() # works if date_compile_auc and/or datadrift_file are filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a82b2857",
   "metadata": {},
   "source": [
    "This result is interesting because we see that the auc is very high, but not the Jensen Shannon datadrift. This shows the interest of the latter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3753c08b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.scatter_feature_importance() # works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abe585bd",
   "metadata": {},
   "source": [
    "the first 3 variables that explain the data drift by the auc of datadrift classifier are not very important for the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "3ef3b98f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate(df_all=SD.df_predict,col='Score',hue=\"dataset\") # works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0805f1bb",
   "metadata": {},
   "source": [
    "We can see that despite the data drift, the impact on predictions is quite small"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "908cb91d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_indicator(\n",
    "                fig_value=SD.js_divergence,\n",
    "                height=280,\n",
    "                width=500,\n",
    "                title=\"Jensen Shannon Datadrift\",\n",
    "                min_gauge=0,\n",
    "                max_gauge=0.2,\n",
    "            ) # works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34db9bb1",
   "metadata": {},
   "source": [
    "### Compile Drift et generate report for Year 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "142dec09",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_2020,\n",
    "                df_baseline=X_df_learning,\n",
    "                deployed_model=model, # Optional: put in perspective result with importance on deployed model\n",
    "                encoding=encoder # Optional: if deployed_model and encoder to use this model\n",
    "               )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "0a45a01e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable Weather_Condition has mismatching unique values:\n",
      "[] | ['Overcast', 'Clear', 'Scattered Clouds']\n",
      "\n",
      "The computed AUC on the X_test used to build datadrift_classifier is equal to: 0.9358807623200552\n"
     ]
    }
   ],
   "source": [
    "SD.compile(full_validation=True, # Optional: to save time, leave the default False value. If True, analyze consistency on modalities between columns.\n",
    "           date_compile_auc = '01/01/2020', # Optional: useful when computing the drift for a time that is not now\n",
    "           datadrift_file = \"car_accident_auc.csv\" # Optional: name of the csv file that contains the performance history of data drift\n",
    "          )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b67329ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_historical_datadrift_metric() # works if date_compile_auc and/or datadrift_file are filled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "9f91ee44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Report saved to ./report_car_accident_datadrift_2020.html. To upload and share your report, create a free Datapane account by running `!datapane signup`."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.generate_report(    \n",
    "    output_file='report_car_accident_datadrift_2020.html',    \n",
    "    title_story=\"Data drift\",\n",
    "    title_description=\"\"\"Car accident Data drift 2020\"\"\", # Optional: add a subtitle to describe report\n",
    "    project_info_file=\"../../eurybia/data/project_info_car_accident.yml\" # Optional: add information on report\n",
    "    )"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dev_eurybia",
   "language": "python",
   "name": "dev_eurybia"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
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