{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "996903eb",
   "metadata": {},
   "source": [
    "# Iterate on Data validation with display analysis\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "463ecee0",
   "metadata": {},
   "source": [
    "<b>With this tutorial you:</b><br />\n",
    "Understand how to use Eurybia to iterate on different phases of data validation<br />\n",
    "We propose to go into more detail about the use of Eurybia<br />\n",
    "\n",
    "Contents:\n",
    "- Validate your data  \n",
    "- Generate Report \n",
    "- Iterate on analysis of results, data validation, data preparation\n",
    "\n",
    "Data from Kaggle [House Prices](https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b239e1e0",
   "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": 2,
   "id": "cd5f25fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from category_encoders import OrdinalEncoder\n",
    "from lightgbm import LGBMRegressor\n",
    "from eurybia.core.smartdrift import SmartDrift\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6aed9f4b",
   "metadata": {},
   "source": [
    "## Import Dataset and split in training and production dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1c6aca48",
   "metadata": {},
   "outputs": [],
   "source": [
    "from eurybia.data.data_loader import data_loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7c55e4fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "house_df, house_dict = data_loading('house_prices')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d4a2e665",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>LotConfig</th>\n",
       "      <th>LandSlope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>...</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>2-Story 1946 &amp; Newer</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>7917</td>\n",
       "      <td>Paved</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Near Flat/Level</td>\n",
       "      <td>All public Utilities (E,G,W,&amp; S)</td>\n",
       "      <td>Inside lot</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>Gilbert</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2007</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>175000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>1-Story 1946 &amp; Newer All Styles</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>13175</td>\n",
       "      <td>Paved</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Near Flat/Level</td>\n",
       "      <td>All public Utilities (E,G,W,&amp; S)</td>\n",
       "      <td>Inside lot</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>Northwest Ames</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2010</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>210000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>2-Story 1945 &amp; Older</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>9042</td>\n",
       "      <td>Paved</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Near Flat/Level</td>\n",
       "      <td>All public Utilities (E,G,W,&amp; S)</td>\n",
       "      <td>Inside lot</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>Crawford</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2500</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>266500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1459</th>\n",
       "      <td>1-Story 1946 &amp; Newer All Styles</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>9717</td>\n",
       "      <td>Paved</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Near Flat/Level</td>\n",
       "      <td>All public Utilities (E,G,W,&amp; S)</td>\n",
       "      <td>Inside lot</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>North Ames</td>\n",
       "      <td>...</td>\n",
       "      <td>112</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2010</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>142125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1460</th>\n",
       "      <td>1-Story 1946 &amp; Newer All Styles</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>9937</td>\n",
       "      <td>Paved</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Near Flat/Level</td>\n",
       "      <td>All public Utilities (E,G,W,&amp; S)</td>\n",
       "      <td>Inside lot</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2008</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>147500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 73 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           MSSubClass                 MSZoning  LotArea  \\\n",
       "Id                                                                        \n",
       "1456             2-Story 1946 & Newer  Residential Low Density     7917   \n",
       "1457  1-Story 1946 & Newer All Styles  Residential Low Density    13175   \n",
       "1458             2-Story 1945 & Older  Residential Low Density     9042   \n",
       "1459  1-Story 1946 & Newer All Styles  Residential Low Density     9717   \n",
       "1460  1-Story 1946 & Newer All Styles  Residential Low Density     9937   \n",
       "\n",
       "     Street LotShape      LandContour                         Utilities  \\\n",
       "Id                                                                        \n",
       "1456  Paved  Regular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "1457  Paved  Regular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "1458  Paved  Regular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "1459  Paved  Regular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "1460  Paved  Regular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "\n",
       "       LotConfig     LandSlope    Neighborhood  ... EnclosedPorch 3SsnPorch  \\\n",
       "Id                                              ...                           \n",
       "1456  Inside lot  Gentle slope         Gilbert  ...             0         0   \n",
       "1457  Inside lot  Gentle slope  Northwest Ames  ...             0         0   \n",
       "1458  Inside lot  Gentle slope        Crawford  ...             0         0   \n",
       "1459  Inside lot  Gentle slope      North Ames  ...           112         0   \n",
       "1460  Inside lot  Gentle slope         Edwards  ...             0         0   \n",
       "\n",
       "     ScreenPorch PoolArea  MiscVal  MoSold  YrSold  \\\n",
       "Id                                                   \n",
       "1456           0        0        0       8    2007   \n",
       "1457           0        0        0       2    2010   \n",
       "1458           0        0     2500       5    2010   \n",
       "1459           0        0        0       4    2010   \n",
       "1460           0        0        0       6    2008   \n",
       "\n",
       "                          SaleType SaleCondition SalePrice  \n",
       "Id                                                          \n",
       "1456  Warranty Deed - Conventional   Normal Sale    175000  \n",
       "1457  Warranty Deed - Conventional   Normal Sale    210000  \n",
       "1458  Warranty Deed - Conventional   Normal Sale    266500  \n",
       "1459  Warranty Deed - Conventional   Normal Sale    142125  \n",
       "1460  Warranty Deed - Conventional   Normal Sale    147500  \n",
       "\n",
       "[5 rows x 73 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "01c8631c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# For the purpose of the tutorial split dataset in training and production dataset\n",
    "# To see an interesting analysis, let's test for a bias between  date of construction of training and production dataset\n",
    "house_df_learning = house_df.loc[house_df['YearBuilt'] < 1980]\n",
    "house_df_production = house_df.loc[house_df['YearBuilt'] >= 1980]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "61178753",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_df_learning=house_df_learning['SalePrice'].to_frame()\n",
    "X_df_learning=house_df_learning[house_df_learning.columns.difference(['SalePrice','YearBuilt'])]\n",
    "\n",
    "y_df_production=house_df_production['SalePrice'].to_frame()\n",
    "X_df_production=house_df_production[house_df_production.columns.difference(['SalePrice','YearBuilt'])]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50be1ce4",
   "metadata": {},
   "source": [
    "## Use Eurybia for data validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c482bfae",
   "metadata": {},
   "outputs": [],
   "source": [
    "from eurybia import SmartDrift"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6373e289",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_production,\n",
    "                df_baseline=X_df_learning\n",
    "               )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1f33c08d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3 µs, sys: 5 µs, total: 8 µs\n",
      "Wall time: 14.8 µs\n",
      "The variable BldgType has mismatching unique values:\n",
      "[] | ['Two-family Conversion; originally built as one-family dwelling']\n",
      "\n",
      "The variable BsmtCond has mismatching unique values:\n",
      "[] | ['Poor -Severe cracking, settling, or wetness']\n",
      "\n",
      "The variable CentralAir has mismatching unique values:\n",
      "[] | ['No']\n",
      "\n",
      "The variable Condition1 has mismatching unique values:\n",
      "[\"Within 200' of East-West Railroad\"] | ['Adjacent to arterial street', 'Adjacent to postive off-site feature']\n",
      "\n",
      "The variable Condition2 has mismatching unique values:\n",
      "['Near positive off-site feature--park, greenbelt, etc.'] | ['Adjacent to arterial street', \"Within 200' of North-South Railroad\", 'Adjacent to feeder street', 'Adjacent to postive off-site feature', 'Adjacent to North-South Railroad', 'Adjacent to East-West Railroad']\n",
      "\n",
      "The variable Electrical has mismatching unique values:\n",
      "[] | ['60 AMP Fuse Box and mostly Romex wiring (Fair)', 'Fuse Box over 60 AMP and all Romex wiring (Average)', '60 AMP Fuse Box and mostly knob & tube wiring (poor)']\n",
      "\n",
      "The variable ExterCond has mismatching unique values:\n",
      "[] | ['Fair', 'Poor', 'Excellent']\n",
      "\n",
      "The variable ExterQual has mismatching unique values:\n",
      "[] | ['Fair']\n",
      "\n",
      "The variable Exterior1st has mismatching unique values:\n",
      "['Imitation Stucco'] | ['Asbestos Shingles', 'Brick Common', 'Asphalt Shingles', 'Stone', 'Cinder Block']\n",
      "\n",
      "The variable Exterior2nd has mismatching unique values:\n",
      "['Other'] | ['Asbestos Shingles', 'Brick Common', 'Asphalt Shingles', 'Stone', 'Cinder Block']\n",
      "\n",
      "The variable Foundation has mismatching unique values:\n",
      "['Wood'] | ['Brick & Tile', 'Stone']\n",
      "\n",
      "The variable Functional has mismatching unique values:\n",
      "[] | ['Major Deductions 2', 'Severely Damaged']\n",
      "\n",
      "The variable GarageCond has mismatching unique values:\n",
      "[] | ['Poor', 'Excellent']\n",
      "\n",
      "The variable GarageQual has mismatching unique values:\n",
      "[] | ['Excellent', 'Poor']\n",
      "\n",
      "The variable GarageType has mismatching unique values:\n",
      "[] | ['Car Port']\n",
      "\n",
      "The variable Heating has mismatching unique values:\n",
      "[] | ['Gas hot water or steam heat', 'Gravity furnace', 'Wall furnace', 'Hot water or steam heat other than gas', 'Floor Furnace']\n",
      "\n",
      "The variable HeatingQC has mismatching unique values:\n",
      "[] | ['Fair', 'Poor']\n",
      "\n",
      "The variable HouseStyle has mismatching unique values:\n",
      "[] | ['One and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level finished']\n",
      "\n",
      "The variable KitchenQual has mismatching unique values:\n",
      "[] | ['Fair']\n",
      "\n",
      "The variable LandSlope has mismatching unique values:\n",
      "[] | ['Severe Slope']\n",
      "\n",
      "The variable MSSubClass has mismatching unique values:\n",
      "[] | ['2-Story 1945 & Older', '2 Family Conversion - All Styles and Ages', '1-1/2 Story - Unfinished All Ages', '1-Story 1945 & Older', '2-1/2 Story All Ages', '1-Story w/Finished Attic All Ages']\n",
      "\n",
      "The variable MSZoning has mismatching unique values:\n",
      "['Floating Village Residential'] | ['Commercial']\n",
      "\n",
      "The variable MasVnrType has mismatching unique values:\n",
      "[] | ['Brick Common']\n",
      "\n",
      "The variable Neighborhood has mismatching unique values:\n",
      "['Northridge', 'Somerset', 'Northridge Heights', 'Stone Brook', 'Bloomington Heights', 'Bluestem'] | ['Brookside', 'Iowa DOT and Rail Road', 'Meadow Village', 'Northpark Villa', 'Briardale', 'South & West of Iowa State University']\n",
      "\n",
      "The variable PavedDrive has mismatching unique values:\n",
      "[] | ['Partial Pavement']\n",
      "\n",
      "The variable RoofMatl has mismatching unique values:\n",
      "['Clay or Tile'] | ['Metal', 'Membrane', 'Gravel & Tar', 'Roll']\n",
      "\n",
      "The variable RoofStyle has mismatching unique values:\n",
      "[] | ['Gabrel (Barn)', 'Mansard', 'Flat', 'Shed']\n",
      "\n",
      "The variable SaleCondition has mismatching unique values:\n",
      "[] | ['Adjoining Land Purchase']\n",
      "\n",
      "The variable SaleType has mismatching unique values:\n",
      "['Contract 15% Down payment regular terms'] | []\n",
      "\n",
      "The variable Utilities has mismatching unique values:\n",
      "[] | ['Electricity and Gas Only']\n",
      "\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",
    "                )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab1ee858",
   "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": 11,
   "id": "4ad7baff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Report saved to ./report_house_price_v1.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_house_price_v1.html',    \n",
    "    title_story=\"Data validation V1\", \n",
    "    title_description=\"\"\"House price Data validation V1\"\"\" # Optional: add a subtitle to describe report\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ddfed51",
   "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": "f98cd44a",
   "metadata": {},
   "source": [
    "## First Analysis of results of the data validation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be6daded",
   "metadata": {},
   "source": [
    "Data validation 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": "5baf3c29",
   "metadata": {},
   "source": [
    "### Detection data drift performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8953e093",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Performance of data drift classifier\n",
    "SD.plot.generate_indicator(fig_value=SD.auc, height=300, width=500, title=\"Datadrift classifier AUC\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22b39a4f",
   "metadata": {},
   "source": [
    "such a high auc means that datasets are not similar.The differences should be analysed before deploying model in production"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e80bb96",
   "metadata": {},
   "source": [
    "### Importance of features in data drift"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92895e23",
   "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": 13,
   "id": "630e9efe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.xpl.plot.features_importance()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff21ebcf",
   "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": "6e232653",
   "metadata": {},
   "source": [
    "### Univariate analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b12a6268",
   "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": 14,
   "id": "8de1e1c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate('BsmtQual')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b8d7382",
   "metadata": {},
   "source": [
    "This feature on height of the basement seems to be correlated with the date of build.To avoid creating too much bias, the data scientist decides to remove it from his learning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "56f2124d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate('Neighborhood')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c82afbd3",
   "metadata": {},
   "source": [
    "This feature on neighborhood seems to be correlated with the date of build.To avoid creating too much bias, the data scientist decides to remove it from his learning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "77e568d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate('Foundation')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bfb2876",
   "metadata": {},
   "source": [
    "This feature on foundation seems to be correlated with the date of build.To avoid creating too much bias, the data scientist decides to remove it from his learning."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7456527",
   "metadata": {},
   "source": [
    "Data scientist thus discards all features that will not be similar to the production training"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6be6fc58",
   "metadata": {},
   "source": [
    "## Second data validation after cleaning data preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4ab0aea1",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_df_learning=house_df_learning['SalePrice'].to_frame()\n",
    "X_df_learning=house_df_learning[house_df_learning.columns.difference(['SalePrice','YearBuilt','BsmtQual',\n",
    "                                                'Neighborhood','Foundation','GarageYrBlt','YearRemodAdd',\n",
    "                                                'GarageFinish','OverallCond','MSZoning','BsmtFinType1','MSSubClass',\n",
    "                                                'ExterQual','KitchenQual','Exterior2nd','Exterior1st','OverallQual',\n",
    "                                                'HeatingQC','FullBath','OpenPorchSF','GarageType','GrLivArea','GarageArea'])]\n",
    "\n",
    "y_df_production=house_df_production['SalePrice'].to_frame()\n",
    "X_df_production=house_df_production[house_df_production.columns.difference(['SalePrice','YearBuilt','BsmtQual',\n",
    "                                                'Neighborhood','Foundation','GarageYrBlt','YearRemodAdd',\n",
    "                                                'GarageFinish','OverallCond','MSZoning','BsmtFinType1','MSSubClass',\n",
    "                                                'ExterQual','KitchenQual','Exterior2nd','Exterior1st','OverallQual',\n",
    "                                                'HeatingQC','FullBath','OpenPorchSF','GarageType','GrLivArea','GarageArea'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "eb6d2d30",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_production, df_baseline=X_df_learning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "aac6bf64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable BldgType has mismatching unique values:\n",
      "[] | ['Two-family Conversion; originally built as one-family dwelling']\n",
      "\n",
      "The variable BsmtCond has mismatching unique values:\n",
      "[] | ['Poor -Severe cracking, settling, or wetness']\n",
      "\n",
      "The variable CentralAir has mismatching unique values:\n",
      "[] | ['No']\n",
      "\n",
      "The variable Condition1 has mismatching unique values:\n",
      "[\"Within 200' of East-West Railroad\"] | ['Adjacent to arterial street', 'Adjacent to postive off-site feature']\n",
      "\n",
      "The variable Condition2 has mismatching unique values:\n",
      "['Near positive off-site feature--park, greenbelt, etc.'] | ['Adjacent to arterial street', \"Within 200' of North-South Railroad\", 'Adjacent to feeder street', 'Adjacent to postive off-site feature', 'Adjacent to North-South Railroad', 'Adjacent to East-West Railroad']\n",
      "\n",
      "The variable Electrical has mismatching unique values:\n",
      "[] | ['60 AMP Fuse Box and mostly Romex wiring (Fair)', 'Fuse Box over 60 AMP and all Romex wiring (Average)', '60 AMP Fuse Box and mostly knob & tube wiring (poor)']\n",
      "\n",
      "The variable ExterCond has mismatching unique values:\n",
      "[] | ['Fair', 'Poor', 'Excellent']\n",
      "\n",
      "The variable Functional has mismatching unique values:\n",
      "[] | ['Major Deductions 2', 'Severely Damaged']\n",
      "\n",
      "The variable GarageCond has mismatching unique values:\n",
      "[] | ['Poor', 'Excellent']\n",
      "\n",
      "The variable GarageQual has mismatching unique values:\n",
      "[] | ['Excellent', 'Poor']\n",
      "\n",
      "The variable Heating has mismatching unique values:\n",
      "[] | ['Gas hot water or steam heat', 'Gravity furnace', 'Wall furnace', 'Hot water or steam heat other than gas', 'Floor Furnace']\n",
      "\n",
      "The variable HouseStyle has mismatching unique values:\n",
      "[] | ['One and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level finished']\n",
      "\n",
      "The variable LandSlope has mismatching unique values:\n",
      "[] | ['Severe Slope']\n",
      "\n",
      "The variable MasVnrType has mismatching unique values:\n",
      "[] | ['Brick Common']\n",
      "\n",
      "The variable PavedDrive has mismatching unique values:\n",
      "[] | ['Partial Pavement']\n",
      "\n",
      "The variable RoofMatl has mismatching unique values:\n",
      "['Clay or Tile'] | ['Metal', 'Membrane', 'Gravel & Tar', 'Roll']\n",
      "\n",
      "The variable RoofStyle has mismatching unique values:\n",
      "[] | ['Gabrel (Barn)', 'Mansard', 'Flat', 'Shed']\n",
      "\n",
      "The variable SaleCondition has mismatching unique values:\n",
      "[] | ['Adjoining Land Purchase']\n",
      "\n",
      "The variable SaleType has mismatching unique values:\n",
      "['Contract 15% Down payment regular terms'] | []\n",
      "\n",
      "The variable Utilities has mismatching unique values:\n",
      "[] | ['Electricity and Gas Only']\n",
      "\n",
      "CPU times: user 2min 4s, sys: 22.2 s, total: 2min 26s\n",
      "Wall time: 7.31 s\n"
     ]
    }
   ],
   "source": [
    "%time SD.compile(full_validation=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "57252bf7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Report saved to ./report_house_price_v2.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_house_price_v2.html',    \n",
    "    title_story=\"Data validation V2\", \n",
    "    title_description=\"\"\"House price Data validation V2\"\"\" # Optional: add a subtitle to describe report\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8358b37b",
   "metadata": {},
   "source": [
    "## Second Analysis of results of the data validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "89fd6a9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_indicator(fig_value=SD.auc, height=300, width=500, title=\"Datadrift classifier AUC\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0b5fceb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.xpl.plot.features_importance()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ee46f661",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate('2ndFlrSF')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b61737f6",
   "metadata": {},
   "source": [
    "Let's assume that the datascientist is ok with these distribution gaps. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb54de9b",
   "metadata": {},
   "source": [
    "Let's look at the impact on the deployed model. To do this, let's first build the model."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "243bc506",
   "metadata": {},
   "source": [
    "## Building Supervized Model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d46d007c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from category_encoders import OrdinalEncoder\n",
    "\n",
    "categorical_features = [col for col in X_df_learning.columns if X_df_learning[col].dtype == 'object']\n",
    "\n",
    "encoder = OrdinalEncoder(\n",
    "    cols=categorical_features,\n",
    "    handle_unknown='ignore',\n",
    "    return_df=True).fit(X_df_learning)\n",
    "\n",
    "X_df_learning_encoded=encoder.transform(X_df_learning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7f997b95",
   "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": 26,
   "id": "00a77748",
   "metadata": {},
   "outputs": [],
   "source": [
    "regressor = LGBMRegressor(n_estimators=200).fit(Xtrain,ytrain)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d814b7c7",
   "metadata": {},
   "source": [
    "## Third Analysis of results of the data validation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f311998",
   "metadata": {},
   "source": [
    "Let's add model to be deployed to the SmartDrift to put into perspective differences in dataset distributions with importance of the features on model. <br />\n",
    "To get the predicted probability distribution, we also need to add encoding used"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "816f8638",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_production,\n",
    "                df_baseline=X_df_learning,\n",
    "                deployed_model=regressor, # 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": 28,
   "id": "d898047a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable BldgType has mismatching unique values:\n",
      "[] | ['Two-family Conversion; originally built as one-family dwelling']\n",
      "\n",
      "The variable BsmtCond has mismatching unique values:\n",
      "[] | ['Poor -Severe cracking, settling, or wetness']\n",
      "\n",
      "The variable CentralAir has mismatching unique values:\n",
      "[] | ['No']\n",
      "\n",
      "The variable Condition1 has mismatching unique values:\n",
      "[\"Within 200' of East-West Railroad\"] | ['Adjacent to arterial street', 'Adjacent to postive off-site feature']\n",
      "\n",
      "The variable Condition2 has mismatching unique values:\n",
      "['Near positive off-site feature--park, greenbelt, etc.'] | ['Adjacent to arterial street', \"Within 200' of North-South Railroad\", 'Adjacent to feeder street', 'Adjacent to postive off-site feature', 'Adjacent to North-South Railroad', 'Adjacent to East-West Railroad']\n",
      "\n",
      "The variable Electrical has mismatching unique values:\n",
      "[] | ['60 AMP Fuse Box and mostly Romex wiring (Fair)', 'Fuse Box over 60 AMP and all Romex wiring (Average)', '60 AMP Fuse Box and mostly knob & tube wiring (poor)']\n",
      "\n",
      "The variable ExterCond has mismatching unique values:\n",
      "[] | ['Fair', 'Poor', 'Excellent']\n",
      "\n",
      "The variable Functional has mismatching unique values:\n",
      "[] | ['Major Deductions 2', 'Severely Damaged']\n",
      "\n",
      "The variable GarageCond has mismatching unique values:\n",
      "[] | ['Poor', 'Excellent']\n",
      "\n",
      "The variable GarageQual has mismatching unique values:\n",
      "[] | ['Excellent', 'Poor']\n",
      "\n",
      "The variable Heating has mismatching unique values:\n",
      "[] | ['Gas hot water or steam heat', 'Gravity furnace', 'Wall furnace', 'Hot water or steam heat other than gas', 'Floor Furnace']\n",
      "\n",
      "The variable HouseStyle has mismatching unique values:\n",
      "[] | ['One and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level finished']\n",
      "\n",
      "The variable LandSlope has mismatching unique values:\n",
      "[] | ['Severe Slope']\n",
      "\n",
      "The variable MasVnrType has mismatching unique values:\n",
      "[] | ['Brick Common']\n",
      "\n",
      "The variable PavedDrive has mismatching unique values:\n",
      "[] | ['Partial Pavement']\n",
      "\n",
      "The variable RoofMatl has mismatching unique values:\n",
      "['Clay or Tile'] | ['Metal', 'Membrane', 'Gravel & Tar', 'Roll']\n",
      "\n",
      "The variable RoofStyle has mismatching unique values:\n",
      "[] | ['Gabrel (Barn)', 'Mansard', 'Flat', 'Shed']\n",
      "\n",
      "The variable SaleCondition has mismatching unique values:\n",
      "[] | ['Adjoining Land Purchase']\n",
      "\n",
      "The variable SaleType has mismatching unique values:\n",
      "['Contract 15% Down payment regular terms'] | []\n",
      "\n",
      "The variable Utilities has mismatching unique values:\n",
      "[] | ['Electricity and Gas Only']\n",
      "\n",
      "CPU times: user 2min 8s, sys: 22.5 s, total: 2min 31s\n",
      "Wall time: 7.43 s\n"
     ]
    }
   ],
   "source": [
    "%time SD.compile(full_validation=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2112f374",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Report saved to ./report_house_price_v3.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_house_price_v3.html',    \n",
    "    title_story=\"Data validation V3\", \n",
    "    title_description=\"\"\"House price Data validation V3\"\"\" # Optional: add a subtitle to describe report\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94545fe0",
   "metadata": {},
   "source": [
    "### Feature importance overview"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a69968f",
   "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": 30,
   "id": "77843e70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.scatter_feature_importance()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a70708c6",
   "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",
    "Here we see that some features are necessary to analyse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "94c20c9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IIOBiAgRCFyhYTGqmGiw/qJH1gjWibrACvH7fgYgDAQQQQAABBBBAAAEEELgaAQLh1eg56Lvhu2M1aU+s2duIulU0/c7rHNQz3SCAAAIIIIAAAggg4HoCxq2bxvN+fz3uueceGbuVcvxPgEDoAldDy4hoRcWlmiOt4eeloz3ru8CoGSICCCCAAAIIIIAAAghYXYBAaPUKSaq5dL9i0jILRpo3qLELjJohIoAAAggggAACCCCAgNUFCIRWr5Akj3m7zFFW9/PSsbRM7e16i24PKucCI2eICCCAAAIIIIAAAgggYGUBAqGVqyPJ2FCm5kf7VaGMp26vVM68dXRLhzpqGeJv8ZEzPAQQQAABBBBAAAEEELC6AIHQ4hWKjEtVq4hohYX46/YgH804kKBpza41dxzlQAABBBBAAAEEEEAAAQSuRoBAeDV6Dvjuiphkddl4WJ2qB5i3iRq7jU5sGKrwRqEO6J0uEEAAAQQQQAABBBBAoCQLEAgtXt38V04YIbBlqH/BamFkhzoWHznDQwABBBBAAAEEEEDAfgIZGRnq2LGjVq9eLS8vL+Xk5Oill17Svn371LBhQz377LP267wEtUwgtHgxR24/XnCbqPEMoXH7qHHr6N6ut1p85AwPAQQQQAABBBBAAAH7Cfw1EG7btk0ffvihZs6cqVKlStmvYzu23KNHD73wwguqXbu2HXv5c9MEQodRF6+j/HcQ5m8kk7/jKK+eKJ4n30IAAQQQQAABBBAoGQJ/DYQrVqzQoUOHNH78eIdM0FiR9PT0LOgrLy9Pxs/VhFECoUNK51qdNFh+UN8nZhTsLBqwYK9SsnJ0tEd91fD3cq3JMFoEEEAAAQQQQAABBIopYISthQsXKiIiQt7e3urdu7emTZtm3jK6fv16zZ8/X9nZ2Spfvrz69++vNm3a/GNPGzZs0Mcff6yEhARVqlRJY8aM0a233qq2bdtq6dKlqlixovndOXPmyMfHR48++qiOHz+ukSNHqnv37tqyZYtq1aqlrKwsBQYG6ujRozp16pRefPFFBQQEaNasWeatq8Y4u3btqm7dupntrVq1Stu3b1eFChV05MgR8zbXESNGqH79+ubKpjEX4/ulS5e+4hyKyXjJ11ghtJWkndr564rgX1cM7dQtzSKAAAIIIIAAAgi4ucDuM+ladSzZ4QqNK/uqw3UVLul348aNWrx4sV5//XUz9L388svauXNnwTOEy5cvV3R09BVXCI1A9sYbb2jSpEm6+eabFR8fr9zcXIWGhl4xEA4cOFD9+vVTnz59zNVAYwzGqqQR5oKCgsx2jNBohEsjRCYlJWncuHEaMmSImjZtagZCIyxOnz7d7Nu4zfWdd97RggULzPmyQujwy83aHSZn5ihw4V5zkPm3iPaPPKqFvyTq/bAa6l+7krUnwOgQQAABBBBAAAEEXFbg7UOnNfibYw4f/xM3V9bcu6pf0u+ECRPUuHFjc8XNOIzwN2zYsCIHwueff1633HKLGb7+elxphfCxxx4zVyiNTWyMw9jEJiQkREZQNA5j1e/pp5/W559/XnDrqHEr688//6yxY8eagTAqKkpTpkwxzzdWGNu3b6+VK1eaK5EEQodfbtbu8I/vIMzfVfSPu47y6glr14/RIYAAAggggAACrixgtRXCJ554wlyda968ucl67tw581bM/F1GC7tCOHjwYPXq1Uv33HNPkQOhsfpn9JN/GIGwbt266ty5s/lPxoqf8W/Bwf97Z7hxG+sNN9yg8PBwMxDu2bNHEydOLGjjjyGUQOjK/2PsMPa/C4TTf4jXqB0nNKJuFU2/8zo79EqTCCCAAAIIIIAAAghYT8BYIbzrrrvMFTXjOHbsmIwVu6IGwsutEHbq1Mm8hTM/0L366qvm7398hvBygfDw4cPmLauffPKJPDw8LkG8UiA0gqoRHNll1HrXn1NG9HergX8XEp0yODpFAAEEEEAAAQQQQMCBAsZGMMatlVOnTjU3azE2lFmzZk2RA6HxDKHxXeMZwptuusl8htB4HtC49dO43bN169Z68MEHFRsbq6FDh8oIiYUNhPnPEBqrho888og5zhMnTsjYEdXo60qB0OjvoYceUqtWrRwmy6YyDqMuekcEwqKb8Q0EEEAAAQQQQACBkilghK3333/f3KXT2AXUuHV09uzZRQ6Ehs66devMVbzTp0+rcuXK5i6jxnOFxgqf8Xyf8TqJKlWqmM8KVq1atdCB0Gjb2Ehm7ty55q2hxjOC1157rXmrq/H845UC4TfffGPOyQiQjz/+eMFqqD0rSiC0p+5Vtv13O4rGpGaq5kf7FeDlqaR+Da6yB76OAAIIIIAAAggggAAC7ixAILRw9f/pFRO8nN7CRWNoCCCAAAIIIIAAAgi4kACB0MLFIhBauDgMDQEEEEAAAQQQQMCyAm+//ba++uqrS8Zn7Cxq7FbK8T8BAqGFrwbjHYTGuwiNW0ONW0TzD1YILVw0hoYAAggggAACCCCAgAsJEAgtXKx/Cn7/tHJo4akwNAQQQAABBBBAAAEEELCgAIHQgkW50koggdDCRWNoCCCAAAIIIIAAAgi4kACB0MLFYoXQwsVhaAgggAACCCCAAAIIlAABAqFFi3i5F9B33nBYXxxL1udtaqlzjQCLzoBhIYAAAggggAACCCCAgNUFCIQWrdDlAuHfvbDeotNgWAgggAACCCCAAAIIIGBhAQKhRYtDILRoYRgWAggggAACCCCAAAIlSIBAaNFiEggtWhiGhQACCCCAAAIIIIBACRIgEFq0mJcLhAt+PqNHo2LUqXqAVtxfy6IzYFgIIIAAAggggAACCCBgdQECoUUrlB/6+t0YpAUta/5plJcLixadDsNCAAEEEEAAAQQQQAABCwoQCC1YFGNIl9s4hkBo0aIxLAQQQAABBBBAAAEEXEyAQGjRghEILVoYhoUAAggggAACCCCAQAkSIBBatJiXC4TJmTkKXLjXHHneoMYWnQHDQgABBBBAAAEEEEAAAasLEAgtWqErvWvQY94uAqFFa8ewEEAAAQQQQAABBBBwFQECoUUrRSC0aGEYFgIIIIAAAggggAACJUiAQGjRYraMiFZUXKq2dKijliH+l4wyYMFepWTlKKlfAwV4eVp0FgwLAQQQQAABBBBAAAEErCxAILRoda4UCK/0uUWnxbAQQAABBBBAAAEEEEDAQgIEQgsV449DuVLgu9LnFp0Ww0IAAQQQQAABBBBAAAELCRAILVQMAqFFi8GwEEAAAQQQQAABBBAooQIlJhCeOXNG06dPV3R0tJKTk/Xxxx+rYsWKBWVLT0/XG2+8oR07dsjPz0+9e/fW//3f/xV8fvz4cU2ZMkWHDx9WtWrVNGLECNWtW9dpZb/SCmD/yKNa+Eui3g+rof61KzltnHSMAAIIIIAAAggggAACritQYgJhYmKitm3bZoa5cePGXRIIjTAYGxurZ599VidOnNCECRP0yiuvqF69esrNzdXAgQPVvHlz9erVSxs3btSiRYu0ePFi+fr6OqW6xnsGjfcNHu1RXzX8vS4Zw5V2IXXKoOkUAQQQQAABBBBAAAEEXEqgxATCfPWUlBR17979T4EwOztbXbp00csvv6z69eubp06dOtX8c/To0Tp48KAZIpctWyZvb2/z3/v27Wv+3HfffRo7dqweeOABtWrVyvxs69at+vTTT80VSXsdV3rPIIHQXvK0iwACCCCAAAIIIICA+wi4RSA8efKk+vfvrxUrVhSs+Bm/f/nll5o5c6bWrFmjlStXau7cuQWVnzRpkq655hpz5ZBA6D7/IZgpAggggAACCCCAAALuJOAWgdB4LnDIkCHasGGDPDw8zPoat4Uazxm+++675sqgcbtp/qqh8bnxPKGxWjh8+HBLBsIVMcnqsvGwOlUP0Ir7a7nTNctcEUAAAQQQQAABBBBAwEYCbhEIS+IKYWRcqlpFRCssxF+RHerY6HKgGQQQQAABBBBAAAEEEHAnAbcIhMYzhJ07d9arr75asHOosclMXl5ewTOEzzzzjJYvX64yZcqY9TduMe3Tp0/BM4StW7dW27Ztzc/Wr1+vtWvX2u0ZQmMzGWNTmQplPJXcv8HfXo8EQnf6b8pcEUAAAQQQQAABBBCwj0CJCoSZmZk6d+6cevbsqQ8++ECBgYHy8vp9h07jdtCEhARzl9HffvtNRgB86aWXCnYZHTBggMLCwszvbtq0SfPnzy/YZdR4htDYiTQ8PFxGuHz++ed14cIFzZ49uyBA2rI8hQl7+efcHuSjvV1vtWX3tIUAAggggAACCCCAAAJuIlBiAmFOTo7atWt3SdlWr15thsI/vofQeJWEsfr3x/cQHjt2zHxu8MiRIwoNDdXIkSMLVhONQBgcHKy9e/fK6Mf4rvFaCmPnUWMl0dZHYQKh0eeVdiK19bhoDwEEEEAAAQQQQAABBEqWQIkJhPYsy193GbVnX0bbBEJ7C9M+AggggAACCCCAAAIImItMecaDdByXFSAQcoEggAACCCCAAAIIIIBASRQgEBaiqlYNhDWW7textEwd7VFfNfx/f1aSAwEEEEAAAQQQQAABBBAorACBsLBSDjxv+g/xGrXjhEbUraLpd173jz23jIhWVFyqtnSoo5Yh/g4cIV0hgAACCCCAAAIIIIBASRAgEFqwiuG7YzVpT6wmNgxVeKNQAqEFa8SQEEAAAQQQQAABBBAoCQIEQgtWkUBowaIwJAQQQAABBBBAAAEESqAAgdCCRS1sIBy5/bhmHEjQtGbXamS9YAvOhCEhgAACCCCAAAIIIICAlQUIhBasTmEDYWHPs+AUGRICCCCAAAIIIIAAAghYQIBAaIEi/HUIhV35IxBasHgMCQEEEEAAAQQQQAABFxIgEFqwWIXdPZRAaMHiMSQEEEAAAQQQQAABBFxIgEBowWIVNhBGxqWqVUS0wkL8FdmhjgVnwpAQQAABBBBAAAEEEEDAygIEQgtWh0BowaIwJAQQQAABBBBAAAEESqAAgdCCRSUQWrAoDAkBBBBAAAEEEEAAgRIoQCC0YFEJhBYsCkNCAAEEEEAAAQQQQKAEChAILVjUwIV7lZyZo6R+DRTg5fmPIzTOMc41zjHO5UAAAQQQQAABBBBAAAEEiiJAICyKloPO9Zi3y+wpb1DjK/ZYlHOv2BgnIIAAAggggAACCCCAgFsJEAgtWO6ihLyinGvBqTIkBBBAAAEEEEAAAQQQcKIAgdCJ+P/UdVFCXlHOteBUGRICCCCAAAIIIIAAAgg4UYBA6ER8WwTCGkv361hapo72qK8a/l4WnA1DQgABBBBAAAEEEEAAAasKEAgtVpn8jWIqlPFUcv8rbxRT2B1JLTZNhoMAAggggAACCCCAAAIWECAQWqAIfxxCZFyqWkVEKyzEX5Ed6lxxdATCKxJxAgIIIIAAAggggAACCPyDAIHQYpcGgdBiBWE4CCCAAAIIIIAAAgiUYAECocWKSyC0WEEYDgIIIIAAAggggAACJViAQGix4hY1EIbvjtWkPbGa2DBU4Y1CLTYbhoMAAggggAACCCCAAAJWFiAQWqw6BEKLFYThIIAAAggggAACCCBQggUIhBYrblFX/Ip6vsWmy3AQQAABBBBAAAEEEEDAiQIEQifi/13XRQ14RT3fYtNlOAgggAACCCCAAAIIIOBEAQKhE/FtEQhXxCSry8bD6lQ9QCvur2Wx2TAcBBBAAAEEEEAAAQQQsLIAgdBi1Snqil9Rnzm02HQZDgIIIIAAAggggAACCDhRgEDoRHxbrBASCC1WQIaDAAIIIIAAAggggIALCRAILVas/pFHtfCXRL0fVkP9a1e64ugIhFck4gQEEEAAAQQQQAABBBD4BwECocUujZYR0YqKS9WWDnXUMsT/iqP7PjFdDZb/qBp+Xjras/4Vz+cEBBBAAAEEEEAAAQQQQCBfgEBosWuhqIHQGL7HvF3mLPIGNbbYbBgOAggggAACCCCAAAIIWFmAQK1SaPIAACAASURBVGix6hAILVYQhoMAAggggAACCCCAQAkWIBBarLh/DYR5F9OUefKAvK9v9o8jZYXQYkVkOAgggAACCCCAAAIIuIgAgdBihcoPhJHtquv2QwuUvu8Lc4TBT0aoVLmAvx0tgdBiRWQ4CCCAAAIIIIAAAgi4iACB0GKFyg93GXef09nlYwtG59v4YVW4/99/O9ri3GZqsWkzHAQQQAABBBBAAAEEEHCCAIHQCeiX6zI/ECZdu0npez5TubrtlX5gjfmVKkNXqnRA6CVfJxBarIgMBwEEEEAAAQQQQAABFxEgEFqsUPmBMD73VWUnxqhSv/eVtnW+Lhz+WuXDhsqvxQACocVqxnAQQAABBBBAAAEEEHBVAQKhxSpnBMKA7BQdTBonD69yChkdpfSD65S88jl5X3+ngnq8SSC0WM0YDgIIIIAAAggggAACripAILRY5YxAeG/y11qctUTeN9yloIenK/d8ok7NaCsPL1+FPL1FKlXqT6Meuf24ZhxI0LRm12pkvWCLzYjhIIAAAggggAACCCCAgFUFCIQWqkxMaqZqfrRfE0+/q8e1S+Vbj5Jf097mCBPe6qzspN9UecASlala50+jDt8dq0l7YjWxYajCG136jKGFpshQEEAAAQQQQAABBBBAwEICBEILFSMyLlWtIqK16thINSx3QZUHfqgywbXNESavftF8BUWF+8fKt/G/CIQWqhtDQQABBBBAAAEEEEDAVQUIhBaqnBEI+yyL1Acnxuum4Cqq+vSXBaPL+GG1klZNlM8t9yuw8ysEQgvVjaEggAACCCCAAAIIIOCqAgRCC1XOCIT/XfyWxiYuUv2mHVSx66sFo8tOPKaEt7updMXqqjJ42Z9GPf2HeI3acUIj6lbR9Duvs9CMGAoCCCCAAAIIIIAAAghYWYBAaKHqGIFw3dxhandht5r8K1y+jboXjC4vN0dxrzaVSnkq9Jmdfxp1/q2mYSH+iuzw5+cLLTQ9hoIAAggggAACCCCAAAIWEyAQWqggRrA7ObW1qnmm665xa1S64p9X++Jn/59yUuIU/OQqeVYIKRg5gdBCRWQoCCCAAAIIIIAAAgi4kACB0ELFenXrAd267CFVKh+gO8O3XzKyxA+H6mLMtwrq9Za8azQhEFqodgwFAQQQQAABBBBAAAFXFCAQWqhqM9evV831I1Uu9Fa1HvPZJSNLXv2S0vetUIV2E+TbsCuB0EK1YygIIIAAAggggAACCLiiAIHQQlV7b9kCVdn6mvJq36+Og2dcMrK0bQt0LnKW/O7sp/Kthv/pc+OF9saRN6ixhWbEUBBAAAEEEEAAAQQQQMDKAgRCC1Vn6aJX5Pf9YqU16Keejzxzycgu/LRZZ5ePU9k696pit/8SCC1UO4aCAAIIIIAAAggggIArChAILVS1lXOGyePwZsXfPV6Pdel7yciy4qN1+r3eKlOltio/9iGB0EK1YygIIIAAAggggAACCLiiAIHQQlVbObmzPE5Hq8zD76pd0xaXjCwv66LiXm8hj9LeChm7lUBoodoxFAQQQAABBBBAAAEEXFGAQGihqm16poEyMi+owrD1uuf6v3/B/Klp9yk3I1nBIzbI07diwehrLN2vY2mZOtqjvmr4e1loVgwFAQQQQAABBBBAAAEErCpAILRIZXLOn9XXL9yj+GwvBY+JUssQ/78d2ZmFjyrz5A+q1He+vK6pX3BOy4hoRcWlakuHOv/4XYtMlWEggAACCCCAAAIIIICARQQIhBYpROaJfdo2q7f2eFZXw+Ef/WOoS/riOWUcXKvAji/Ip257AqFF6scwEEAAAQQQQAABBBBwRQECoUWqln5grb5d/G+t8Wmi9k/M/MdAmPrV20r9Zp78737c/Mk/WCG0SCEZBgIIIIAAAggggAACLiRAILRIsdK2L9LO5a9paYW2GjbkJd0eVO5vR5bxw2olrZqocnXbK6DjCwXndN5wWF8cS9bnbWqpc40Ai8yKYSCAAAIIIIAAAggggICVBdwmEB47dkxvvvmmoqOj5ePjo9atW2vQoEEqVaqUWZ/jx49rypQpOnz4sKpVq6YRI0aobt26DqtdyqZp+mrNO1pQpYeWPTPxH/s1bi09s3igvKrVV6V+8wvOC98dq0l7YjWxYajCG4U6bNx0hAACCCCAAAIIIIAAAq4r4DaBcPDgwbrxxhv15JNPKjExUWPHjlXv3r3Vvn175ebmauDAgWrevLl69eqljRs3atGiRVq8eLF8fX0dUt2kL57VN1HLND3kCW3+98h/7DMnLVHxM9uqVLlAVR25kUDokOrQCQIIIIAAAggggAACJVPAbQJh586d9cILL6h+/d935nzjjTdUtmxZDR06VAcPHtS4ceO0bNkyeXt7m5/37dvX/LnvvvvM8PjAAw+oVatW5mdbt27Vp59+qunTp9vsqkhcMkTbdkdq4rVjtWfUo5dtN+6/LZSXfVEh/94qjzK/j5cVQpuVgoYQQAABBBBAAAEEEHAbAbcJhMZq3+nTp80AaKwQPvPMM3rqqafUpEkTrVmzRitXrtTcuXMLCj9p0iRdc8015sqhIwLh6XkPa8eh/RpR8yX9OrzbZS/A0+/2VFbCL6o8YInKVK1DIHSb/65MFAEEEEAAAQQQQAAB2wq4TSD8+eefNXnyZP3222+mYKdOnTRs2DDzd2NlcNu2bZo6dWqBrvE8obFaOHz4cIcEQuOF89+dOKm+td5U0tD7Llvls8vG6kL0l6rY9b8qe9O95rkrYpLVZeNhhYX4K7LD7yGRAwEEEEAAAQQQQAABBBC4nIBbBMILFy6YzwZ2797d/ElOTtZLL72kpk2bms8RWmGF8OiLjXQgKV3Dm3ysmJ7/e+H83xXv3JY3lbZ9ocrf+5T8mvU1T4mMS1WriGgCIf/fEUAAAQQQQAABBBBAoNACbhEIT548qf79+5u3hRo7jBrHihUrFBkZaT4HaDxDaNxCunz5cpUpU8b83Di/T58+Bc8QGruStm3b1vxs/fr1Wrt2rc2eIcw5F6/D09pp53kfzb/n/Suu8J3f9YlSNvxX5Rp2V0C7ZwiEhb7cOREBBBBAAAEEEEAAAQT+KOAWgTAnJ0c9evRQt27dzBXClJQUvfjii7r++uvN5wiNXUYHDBigsLAw9ezZU5s2bdL8+fMLdhk1niE0zgkPD1d2draef/55GauOs2fPLgiQV3NZZcUd0q/v9NL6C8Fa3mLGFQNhxk9fKmn5WJW9MUwVH/r9NldWCK+mAnwXAQQQQAABBBBAAAH3FHCLQGiU9tChQ+amMUePHpWXl5caNWpkPh/o5+dnVt54T6Hx3OCRI0cUGhqqkSNHFryH0AiEwcHB2rt3r4xwaawcGq+lMHYeNVYSr/a4cPgbHVsyXB9l19aWpi9cMRBmnvxBZxY+qjIht6jyo4vM7mNSM1Xzo/2q4eelo1e45fRqx8v3EUAAAQQQQAABBBBAoGQIuE0gvJpy/XWX0atp6+++m77vC51YEa631ETfNxp9xUCYk3JK8bM7qJRfZVV9am1Bkx7zdpm/5w1qbOsh0h4CCCCAAAIIIIAAAgiUQAECYSGKau9AmLZ1vk5uelOTPe9TzO2PXTEQKjdHsa82M0ceOv5bycPD/J1AWIhicgoCCCCAAAIIIIAAAggUCBAIC3Ex2DsQpmx4XSe3fqgJPt2UXPehKwdCSaem36/c9LMKHr5Wnv6VCYSFqCOnIIAAAggggAACCCCAwJ8FCIQWuCLOLn9Gv+5Zq9EBj6lVq24KbxR6xVGdfq+3suKjVan/InmF3mKeH7Bgr1KycpTUr4ECvDyv2AYnIIAAAggggAACCCCAgHsLEAgtUP8ziwcpJvpbDag0Wl3vvq9QgTDx4xG6eGSrKj70hsreeI85i5YR0YqKS9WWDnXUMsTfAjNjCAgggAACCCCAAAIIIGBlAQKhBaqTMLerjv92RF2rvqABdzYpVCBMXvOy0r//XAHtxqtcw24EQgvUkSEggAACCCCAAAIIIOBqAgRCC1Ts1NSW+i0pSfdWm6Gn76hdqECY+vU7Mn78WgxU+bAhBEIL1JEhIIAAAggggAACCCDgagIEQmdXLCdbsa81028ZuWp63Tua2DC0UIHw/J7lSln3isrd1kkBDz5HIHR2HekfAQQQQAABBBBAAAEXFCAQOrlo2UknlfBWJ/2UU0Gtq75W6EBovMz+7Ccj5X19cwX1mGnOYuT245pxIEHTml2rkfWCnTwzukcAAQQQQAABBBBAAAGrCxAInVyhzN/268yiAdqSe636BP+n0BvCGDuMGjuNlqlyoyo/ttScRfjuWE3aE1voUOnkqdM9AggggAACCCCAAAIIOFmAQOjkAlyIjtTZZWO0snQ9DQl8stCBMCctUfEz28rTN0jBI9YTCJ1cR7pHAAEEEEAAAQQQQMAVBQiETq5a+p5lSl43WUvL3qUx/n0KHQiVl6fYyU0keSh0/LeShwcrhE6uJd0jgAACCCCAAAIIIOBqAgRCJ1csf7fQeeU7KNy7Q+EDoaRTb9yr3AvnVHXUZpXyqaAFP5/Ro1Ex6ndjkBa0rOnkmdE9AggggAACCCCAAAIIWF2AQOjkCqWsm6zze5ZpWlAfTSl1V5ECYcLcbso+e0xVnvhMpYNqKDIuVa0iohUW4q/IDnWcPDO6RwABBBBAAAEEEEAAAasLEAidXKGzn43RhZ8jNSxgsD4vc7v2dr1FtweVK9Sozix+TJknvlelPvPkdV0DAmGh1DgJAQQQQAABBBBAAAEE8gUIhE6+Fs4sfFSZJ39QG99R+rFcHeUNalzoEeWHycCu/5XPTfcSCAstx4kIIIAAAggggAACCCBgCBAInXwdxM/uqJyUWDUuP0lx3sFFCoTJa15W+vefK+CBCSrXoGtBILw9yEd7u97q5JnRPQIIIIAAAggggAACCFhdgEDo5ArFvtpMys1WrYrTleFZtkiB8FzkbKVte1/+YUPk32KgOROPebvMP4uy0uhkArpHAAEEEEAAAQQQQAABJwkQCJ0Eb4a2i+cVNzVMKlVa1YJmFTnInf/2Q6VsekO+jXuowv1jCIROrCVdI4AAAggggAACCCDgigIEQidWLTvxmBLe7qbSgdcouPSzRQ6E6T+sUfKq5+VzazsFdnqJQOjEWtI1AggggAACCCCAAAKuKEAgdGLVLh7fo8QPHlda5VtVR8N1W0Uffd+t8M/+Xfx1uxI/Gi7vGk0V1Gs2gdCJtaRrBBBAAAEEEEAAAQRcUYBA6MSqZfy4UUkrxuv0NXfp9ot9ivz+wKxTP+n0/D4qE1xHlQcuMWdy+7KD2nc2o0ivr3AiAV0jgAACCCCAAAIIIICAEwUIhE7EP//dR0rZOEXxtTuqYVL7IgfCnHPxip/1oDz9qyh4+BpzJi0johUVl1qkF9w7kYCuEUAAAQQQQAABBBBAwIkCBEIn4qdGzlHqtvmKrd9PTeLuLHIgzMvJUtxrd0qeZRQ6bjuB0Im1pGsEEEAAAQQQQAABBFxRgEDoxKolr35R6fu+0Immo9Ts1zpFDoTG0OOm3KO8zHSFjI6Sh7cvK4ROrCddI4AAAggggAACCCDgagIEQidWLPHjEbp4ZKuO3fuSmv9QqViBMGFOJ2Unn1TwkBXyDLxG/SOPauEviXo/rIb6167kxNnRNQIIIIAAAggggAACCFhdgEDoxAqdfq+PsuJ/0idNXteoGH9NbBiq8EahRRrRmQX9lRl7QJX6vS+vavUUvjtWk/bEFqutInXMyQgggAACCCCAAAIIIODyAgRCJ5Yw/s32yklN0OK75+mZn3KKFeISPx6pi0e+UcXub6hs7XsIhE6sJ10jgAACCCCAAAIIIOBqAgRCZ1UsL0+xk++QlKd32yzXxO8TihUIkyMmKX3/KgU8+LzK3daRQOisetIvAggggAACCCCAAAIuKEAgdFLRctOTdWr6ffLw9tfbLZcU+zbPc1/OVNqORSrfarj87uxHIHRSPekWAQQQQAABBBBAAAFXFCAQOqlq2aePKGHewyodVENzGs8sdiBM275I57bMlF/TPirfeqQi41LVKiK6WBvUOImCbhFAAAEEEEAAAQQQQMBJAgRCJ8FfPPqtEpcOlfd1jfTiDf/RjAMJmtbsWo2sF1ykERm3ixq3jfrUfVCBHScRCIukx8kIIIAAAggggAACCLi3AIHQSfVPP7BWySufk88t96tL6X6KikvVlg511DLEv0gjunD4G539ZKTK3tBCFR+eQSAskh4nI4AAAggggAACCCDg3gIEQifVP23nBzq3ebp8m/RUp4sdih0Is2IP6vSCfioTcosqP7qIQOiketItAggggAACCCCAAAKuKEAgdFLVzm2eobSdi1W+5TB1OHtnsQNhdtJJJbzVSZ4VQhT85ColZ+YocOFeBXh5KqlfAyfNjm4RQAABBBBAAAEEEEDAFQQIhE6qUvKqiUr/YbX5uoj2J+oUOxDmZaYrbso98ihdViFjvzFn4zFvl/ln3qDGTpod3SKAAAIIIIAAAggggIArCBAInVSlxA+f1MWYnQp6eKbaHgoqdiA0hh/72p1STpZCxm2Xh2cZAqGTakq3CCCAAAIIIIAAAgi4mgCB0EkVS5jXQ9mnD6vywCWq/eVFxaRl6miP+qrh71XkEcXP6qCcc6cU/GSEPCtUJRAWWZAvIIAAAggggAACCCDgngIEQifV/dT0NspNT1LVp9bJc2mMOYri3uJ5+r0+yor/SZUfXawyITcrYMFepWTlFDtgOomEbhFAAAEEEEAAAQQQQMDBAgRCB4P/nvzyFDv5DvPX0PHfyuPd3VcVCBM/Gq6Lv25XxYdnquwNzdUyIvqqbkF1Bgl9IoAAAggggAACCCCAgOMFCISON1du2hmdmtlOpcoFqurIjVd9i2fyyueVfmCNAju+IJ+67QmETqgpXSKAAAIIIIAAAggg4IoCBEInVC0rPlqn3+ut0pVrqcqgj646EJ7bNE1p3y5R+daj5Ne0N4HQCTWlSwQQQAABBBBAAAEEXFGAQOiEql08sk2JHz8l7xpNFdRr9lUHwtSt85UaNUd+d/ZX+VbDCIROqCldIoAAAggggAACCCDgigIEQidULX3/KiVHTFK5uu0V0+IZNVj+o26r6KPvu91arNGc3/u5Uta+rHK3dVLAg88pfHesJu2J1cSGoQpvFFqsNvkSAggggAACCCCAAAIIlHwBAqETapy2bYHORc6SX9NHtOeWAWoVEa2wEH9FdqhTrNFciI7U2WVjVLZ2mCp2n0ogLJYiX0IAAQQQQAABBBBAwP0EnBIIe/fura5du6pdu3by9fV1O/WUjVN1/rulKt96pHZd1+mqA2Hmb/t0ZtFAeVWrr0r95hMI3e6KYsIIIIAAAggggAACCBRPwCmBcOjQofr2229VtmxZtW3bVl26dFHdunWLNwMX/FbSignK+HGDAjq+qG+D7rrqQJideEwJb3eTZ+C1Ch7yOYHQBa8JhowAAggggAACCCCAgDMEnBIIjYnGxcXpiy++0KpVq3Tq1CndeOON5qph+/bt5efn5wwLh/V55oMnlHl8t4J6ztH2sjdfdSDMzTinU9PulYe3n0JGR2pFTLK6bDysTtUDtOL+Wg6bFx0hgAACCCCAAAIIIICAawk4LRDmM+Xm5mrnzp36/PPPFRUVpdKlS6tNmzbq1q2b6tWr51qahRxtwjv/UvaZX1Vl0MeKOB9khrereYbQ6Db2lcZm76ETdikyLvWqQ2Yhp8JpCCCAAAIIIIAAAggg4MICTg+E+Xa//fabFixYYAbD/KNhw4YKDw9XtWrVXJj40qGfmt5GuelJqvrUOr0QnWmTHUHjZ7ZTTtoZBQ9fq6/TyhIIS9QVw2QQQAABBBBAAAEEELCPgFMD4cWLF7V582bz1tFdu3apUqVK6tSpk/lMoREQZ8+ebc7aCIol5sjLU+zkOyTlKXT8dwrfE2eTQJgwr4eyTx9W5YEfamtuCIGwxFwwTAQBBBBAAAEEEEAAAfsJOCUQ/vTTT2YIXLNmjc6fP69mzZqZt4jefffd5i2j+UdycrK56YxxS2lJOXIzUnRqWmuV8vZT1dGRNtsAJnHJEF089p2Ces3RIf+65rsNbw/y0d6uxXu3YUnxZh4IIIAAAggggAACCCDwzwJOCYSNGjUyVwM7duxobiQTEhLyjyMcPHiw5s6dW2JqmL8jaOnAa1RlyAqbBcL8nUsDO70sn1vbymPeLtMsb9DvzxZyIIAAAggggAACCCCAAAJ/FXBKINyyZcslq4HuUprME/t0ZvFAeYXWVaX+C2wWCFM2vK7zuz5WhTZj5NukB4HQXS4o5okAAggggAACCCCAwFUIOCUQGi+kX7du3T8O+0qfX8V8nf7VC798pbOfPi3vG1oo6OEZ6h95VAt/SdS0ZtdqZL3gYo8v9et5Sv36bfm1GKjyYUMIhMWW5IsIIIAAAggggAACCLiPgFMCoXHL6O7du/9W2XgNRZMmTf7xc1cvTfq+lUpe/YJ86j6owI6T1DIiWlFxqdrSoY5ahvgXe3rnd3+mlPWvyrdhN1VoN55AWGxJvogAAggggAACCCCAgPsIWC4Qfvfddxo7dqyM20pL4pG2Y5HOfTlTvnf0VoX7RtksEF74abPOLh8nn5taK7DrazZrtyTWgDkhgAACCCCAAAIIIIDA7wIODYRhYWFmp2lpafLz87ukBllZWTJeRWG8euL5558vkTU6t+VNpW1fKP+wofJvMcBmwe3isd1KXPKEvK5rqEp93rFZuyWyCEwKAQQQQAABBBBAAAEEHB8I898rOH/+fA0YMOCSEvj4+KhmzZoygmOpUqVsXqKNGzdqyZIlio+PV3BwsMaPH686deqY/Rw/flxTpkzR4cOHVa1aNY0YMUJ169a1+RiSV7+o9H1fqEK7CfJt2NVmwS3r9K86Pe9fKh1UU1We+NRm7docgAYRQAABBBBAAAEEEEDAMgIOXSHMn7URvMaMGeNQhB07dmjq1Kl6+umndfPNNyshIUHly5dX1apVZTy3OHDgQDVv3ly9evWSERwXLVqkxYsXy9fX16bjPPvZaF34OUqBXf8rn5vutVlwy01P0qnpbVTKJ0BVR22yWbs2nTyNIYAAAggggAACCCCAgKUEnBIInSFgvM+wS5cu5ovu/3ocPHhQ48aN07Jly+Tt7W1+3LdvX/PnvvvuM59pfOCBB9SqVSvzs61bt+rTTz/V9OnTizyVM4sGKvO3fQrq8468r2uowIV7lZyZo6R+DRTg5Vnk9gq+kJen2Ml3mH8NHf+t+kfFmLuXvh9WQ/1rVyp+u3wTAQQQQAABBBBAAAEESqyAwwJhixYtCsJU/u+XUzVCl60O49nE9u3bm6uAK1asMFcEjdtSBw0aJC8vL61Zs0YrV67U3LlzC7qcNGmSrrnmGvM7tgyECXO7KfvsMVUe9InKVL7epruBnpp2n3IzklV15Ea9cChDk/bEamLDUIU3CrUVJe0ggAACCCCAAAIIIIBACRJwWCB89913TbbHHntM+b9fztE4z1ZHXFycudpnPBNobFZjBMRnn31WRjDt16+fuTK4bds285bS/MO4rdVYLRw+fLhNA+Gpaa2Vm5Gi4BEb5Olb0aaBMOHth5SdeNQMmy8fL0sgtNUFRDsIIIAAAggggAACCJRQAYcFQmf6JSYmqkePHjJW/YznBI1j7dq1ioiIkLHRjcNWCAtu68xT6PjvJA8PmwbCMx88rszjexTU+21NPhNCIHTmRUffCCCAAAIIIIAAAgi4gIDTAqER0oKCggqIvvrqKxnP8hkvpW/cuLHN6bp166bRo0f/bSA0+n3mmWe0fPlylSlTxuy7f//+6tOnT8EzhK1bty54/nD9+vVmoCzqM4QFG7+ULa+qT39p9uMxb5f5Z96gq59z0vJxyvhpsyp2fU1zs+pq1I4TGlG3iqbfeZ3NPWkQAQQQQAABBBBAAAEEXF/AKYHQCFRGAHz55ZdNQWOF7rnnnjPDWHZ2tvn6h5YtW9pU95133tGhQ4cUHh5u9vGf//zHvGX0kUceMZ8pNF6DYTxX2LNnT23atEnGqzHydxk1niE0zsn/rnHb6YULF8zVxfwAWZjBZifGKOHt7ipdsbqqDF5m80CYvO5Vpe/5TAHtxuvbkPvVKiJaYSH+iuzw+6s1OBBAAAEEEEAAAQQQQACBPwo4JRAaIWzChAnm6x+Mw3iOr0qVKnrttdf02Wefmatv77//vk0rZTw3+OabbyoqKsrcSMbYMdTYVCY/0B07dswMokeOHFFoaKhGjhxZ8B5CIxAa7y3cu3evcnJyzJVD47UUxs6jxkpiYY/M43t15oNB8qpWX5X6zVdkXKpNQ1tq1Fylbn1X/nc/od21eti07cLOkfMQQAABBBBAAAEEEEDAdQScEgiNlbnNmzerbNmySk1NNcPZrFmz1KxZM6WlpenBBx80g5tVjr/uMlrccWX89KWSlo9V2dphqth9qs0D4fldHytlw+vybfyw9tYbTCAsbqH4HgIIIIAAAggggAACbiLglEDYpk0bcwXQeK2DcfuocQumEQCNgJicnKyuXbvqyy9/f8bOCoetAuH5PcuVsu4VlbutkwIefM7mgTDj4HolffEf+dxyv/Y1HU8gtMLFwxgQQAABBBBAAAEEELCwgFMC4fjx45WUlGS+G/C9995TzZo1CzZo2bFjhz744ANzxdAqh60CYdrW+ToXNUd+zfqp/L3DbR4IL8Z8q8QPh8q7ehN5PjTLfOm9cdhiwxqr1IJxIIAAAggggAACCCCAgO0EnBIIT506Ze7q+cMPP6hGjRp64403VL16dXNWxrN73bt311133WW7WVqkpZSNU3X+u6Uq33qk/Jr2sXkgzIr/Waff66XSlWupyqCPbLqDqUUIGQYCCCCAAAIIIIAAAgjYUMApgTB//MZun6VLl/7TdIyXQ4pGVwAAIABJREFUyIeEhNhwitZpKumL55RxcK0COoSrXP0OWhGTrC4bD6tT9QCtuL/WVQ80J/W04t98QJ5+lRT81DoC4VWL0gACCCCAAAIIIIAAAiVbwKmBsGTTXjq7xKXDdPHoDgU9PEPeN7RQ+O5Y27483nzxfRPj7YYKnfAdgdDdLjDmiwACCCCAAAIIIIBAEQWcFgj379+vVatWKTY21txZ9K/HwoULizgV659++r0+yor/SZX6L5RX6K22D4SS4qa2VN7FNFUd9aWuXxGjY2mZOtqjvmr4e1kfiBEigAACCCCAAAIIIICAQwWcEgiXLl1qvvOvWrVq5jOEvr6+l0x68uTJDoVwRGfxszoo59wpVRnyhUoHVrNLIIx/q4tykk6oyuDlum9bhqLiUrWlQx21DPF3xBTpAwEEEEAAAQQQQAABBFxIwCmBsG3btubL3Y0X1LvTEfvanVJOlkLGfCUPr3J2CYRnFg5Q5sn9qvTIe7p/X1kCoTtdYMwVAQQQQAABBBBAAIEiCjglEBovpjfeP+jn51fE4bru6XmZGYqbcrfkWUah47abE7H5M4SSzn42Whd+jjJffN/u56oEQte9ZBg5AggggAACCCCAAAJ2F3BKIBw9erS5QtigQQO7T9AqHWQnxyphTkd5lq+q4GER5rD6Rx7Vwl8S9X5YDfWvXckmQ01e/aLS932hgPbPqldCXX1xLFmft6mlzjUCbNI+jSCAAAIIIIAAAggggEDJEXBKIExOTjafIXzggQfUtGnTS149UXJ4/zeTzNiDOrOgn8pUvUmVB3xgftAyItrmK3jntsxS2vYF8m/5pKZ6t7XtLqYlsTDMCQEEEEAAAQQQQAABNxZwSiBs06aN8vLylJSUpFKlSqlChQry8PD4Uxk2btxYospy8cg2JX78lLxrNlNQz1l2C4RpO5fo3OZp8rujt94IfJhAWKKuIiaDAAIIIIAAAggggIBtBZwSCKdNm3bFWYwaNeqK57jSCRk/rFbSqonyufUBBXZ60W6BMOPAGiWtfF7l6rbX9GqDCYSudJEwVgQQQAABBBBAAAEEHCzglEDo4Dlaoru0nR/o3Obp8m3SUxXajLZbILxwZJvOGiuR19+pN28cTyC0RPUZBAIIIIAAAggggAAC1hQgEDqoLvnP9pUPGyq/FgPsFgiz4g7p9PuPqEzwTdraepa6bDysTtUDtOL+Wg6aKd0ggAACCCCAAAIIIICAqwg4LRAePHhQ7777rvbt26eUlBTt3r3bNHvjjTfUt29fVapkm103rVKI/N0/K7SbIN+GXc1hBS7cq+TMHCX1a6AAL0+bDDUn5ZTiZ3cwdzM91G2pWkVEKyzEX5Ed6tikfRpBAAEEEEAAAQQQQACBkiPglED43XffadiwYapXr54aNWpkBsP8QLhkyRKdOXNGI0aMKDnKxvsBPx2tC79EKbDrf+Vz073m3Dzm7TL/zBvU2GZzzcvJUtxrd5rvO/y57wYCoc1kaQgBBBBAAAEEEEAAgZIn4JRA2L9/fzVv3lyPP/64KWqEwvxAGBMTo+HDh2vVqlUlSvvMooHK/G2fKvWZJ6/rfn//oj0CodFu3Ot3Ky8rQ7/0Wa2W60+wQliiriQmgwACCCCAAAIIIICA7QScEgibNWum9evXm6+b+GsgvHDhgsLCwrRz507bzdICLSXM7arss8dV5YnPVDqohl0DYfzsjspJidXFRz7V9esSVcPPS0d71reAAkNAAAEEEEAAAQQQQAABKwk4JRAage/DDz9UtWrVLgmEv/76q7lyuGnTJis5XfVYTr1xr3IvnFPVUZtVyuf3IGyvFcIzC/opM/agKvdfKK/VGWZftrwt9aoxaAABBBBAAAEEEEAAAQQsIeCUQGi8Y9DPz0/h4eHy9PQsuGU0JydHzz77rPmS+ldeecUSQDYZRF6eYic3MSKgQsd/K3l4KCY1UzU/2q/qfl6KsfHqXeLHI3TxyFZV/Nd0+WwpSyC0SRFpBAEEEEAAAQQQQACBkifglED4yy+/yHiOsGrVqrrnnnu0aNEiPfHEE4qKitKJEye0ePFiVa9evcRo555P1KkZbVWqXKCqjtxozisyLtVuG74krQpXxg8RCugwUb47QwiEJeZKYiIIIIAAAggggAACCNhWwCmB0JjCzz//rBkzZmjXrl3Kzs5WqVKlzJXC0aNH68Ybb7TtLJ3cWvbpI0qY97BKV7peVR7/xO6B8NzmGUrbuVjlWz0l/wO3mP3Z8tUWTuakewQQQAABBBBAAAEEELCRgNMCYf74s7KydO7cOfMWUm9vbxtNy1rNXDy2S4lLBsvruoaq1OcduwfCtB2LdO7LmfJr1lcd09sqKi5VWzrUUcsQf2vBMBoEEEAAAQQQQAABBBBwqoBTAqGxk+iPP/5ovm/QOCpXrqybb75ZZcv+/rxbSTsyftyopBXj5XNTawV2fc2c3oqYZHXZeFidqgdoxf21bDrl9H0rlbz6BZWr31Gd9TCB0Ka6NIYAAggggAACCCCAQMkRcGggvHjxombOnKnly5crMzPzT4peXl7q1q2b+Q7CkrZSeH73Z0pZ/6rKNeyugHbPmPMO3x2rSXtiNbFhqMIbhdr0ijI2lDE2lilb6251LTeYQGhTXRpDAAEEEEAAAQQQQKDkCDgsEObl5enJJ580nxk0Xjtxxx13mCuDxr+fPn1a3333nbmpTJMmTTRr1ixzp9GScqR+/Y6MH78WA1U+bIjdA6Hxygnj1RNlQuvqoUrjCYQl5UJiHggggAACCCCAAAII2FjAYYFw48aNmjRpkt566y3Vq1fvb6exf/9+DR061DyvdevWNp6q85pL2fC6zu/6WBXajJFvkx52D4TZybFKmNNRpQOv0Su3z9SMAwma1uxajawX7DwEekYAAQQQQAABBBBAAAHLCTgsEI4ZM8YMgv369bsswoIFC3TgwAFNmTLFcljFHVDSignK+HGDAju9LJ9b25rNdN5wWF8cS9bnbWqpc42A4jb9t9/Ly0xX3JR75OHlq7dbLbXbrak2HTSNIYAAAggggAACCCCAgMMFHBYIH3zwQc2ZM+eK7xeMiYnRsGHDFBER4XAMe3WYuGSILh77TkG95si7xh1mNy0jou16K2fsa3dKOVl6t81yTfw+wS7PKtrLi3YRQAABBBBAAAEEEEDAMQIOC4TNmzdXZGSkjM1jLncYG8/ce++92rp1q2MEHNDL6Xd7KivhF1UesERlqtZxSCCMn/Wgcs7Fa9Hd72n8T1kEQgfUmS4QQAABBBBAAAEEEHA1AYcFQuOl87t37y6UT1HOLVSDTj7p1Ix2yj1/RsHD1sizfBVzNIEL9yo5M0dHe9RXDf/Lh+TiDP/0e72VFR+tr1vNUo8DpdXvxiAtaFmzOE3xHQQQQAABBBBAAAEEECihAg4NhMuWLSsUo/H6icKGx0I16OSTYl9pIilPIeO2y8OzjDkaj3m7zD/zBjW2y+gSP3xSF2N2KqbN62rxvb/CQvwV2eH31UkOBBBAAAEEEEAAAQQQQMDMJXnGex8ccBirfkU5SkogzLuYpripLc0NXkLGRBUQ2DsQJq34jzJ+XK8Td09Qs5+uIxAW5eLjXAQQQAABBBBAAAEE3ETAYYHw448/LhLpww8/XKTzrXpy9tkTSpjbxXwFRJUhK8xhxqRmquZH+1Xdz0sxPevbZegpG6bo/K6P9FvjoWp6rD6B0C7KNIoAAggggAACCCCAgGsLOCwQujZT8Uef+dt+nVk0wHxJfOX+C8yGIuNS1Soi2q4hLfWbd5X61VzF1u2tJvF327Wv4uvwTQQQQAABBBBAAAEEEHCmAIHQzvoXfv5KZz97Wt433KWgh6c7LBCm71mm5HWT5duwmwJOtDH7tdfzinYmpHkEEEAAAQQQQAABBBCwkwCB0E6w+c2m71up5NUvqFz9/1NAh4nmP6+ISVaXjYfVqXqAVtxfyy4juPDTZp1dPk5l69yroLP/IhDaRZlGEUAAAQQQQAABBBBwbQECoZ3rl7Zjkc59OVN+zfqq/L1Pmb2F747VpD2xdn034MVju5W45Al5XdtAlS88QSC0c51pHgEEEEAAAQQQQAABVxQgENq5auc2z1DazsUq3+op+d3Z12GBMOv0EZ2e97BKB9VQcKlnCIR2rjPNI4AAAggggAACCCDgigIEQjtXLWlVuDJ+iFDAg8+r3G0dzd5Gbj+uGQcS7LpCmHP+rOJn3K9SPgFqd90M7Tubob1db9HtQeXsPGOaRwABBBBAAAEEEEAAAVcRIBDauVKJH4/UxSPfqOJD01T2xrvN3lpGRCsqLlVbOtRRyxB/+4wgL0+xk5sYr5pU73qLFXkqzb792WcWtIoAAggggAACCCCAAAJ2FCAQ2hHXaPr0gv7Kij2gyv0XqkzorY4LhJJOTbtPuRnJGnTTHK1JLEUgtHOtaR4BBBBAAAEEEEAAAVcTIBDauWIJczopO/mkgoeskGfgNQ4NhMYzhMazhKOuf0mfpFYiENq51jSPAAIIIIAAAggggICrCRAI7VyxuClhyss8r5DRUfLw9jV785i3y/zT3u8FTPxwqC7GfKv/1hynGWk19X5YDfWvXcnOM6Z5BBBAAAEEEEAAAQQQcBUBAqEdK5WXk6W41+6UPMsodNz2gp4cFQiTvnhOGQfXas1NT2lQ4i123cTGjow0jQACCCCAAAIIIIAAAnYSIBDaCdZoNudcvOJnPahSfpVV9am1Dg+E5zZPV9rOD7S55iPqm9aCQGjHWtM0AggggAACCCCAAAKuKEAgtGPVsk5F6/T83ipTpbYqP/ah2dP3ielqsPxH3VbRR993+32TGXsdaTsW69yXM7Q1tIP+ldWBQGgvaNpFAAEEEEAAAQQQQMBFBQiEdizcxaM7lbj0SXnXbKqgnrPNniLjUtUqIlphIf6K7FDHjr1L6T+sUfKq57WrYgt18nyEQGhXbRpHAAEEEEAAAQQQQMD1BAiEdqxZxsH1SvriP/K5pa0CO7/s8EBobChjbCxzplJ93eYx1CEh1I6cNI0AAggggAACCCCAAAI2FiAQ2hj0j82d/+4jpWycIt/GD6vC/f82P5r+Q7xG7TihfjcGaUHLmnbsXco+fUQJ8x5Wku81qlvuWQKhXbVpHAEEEEAAAQQQQAAB1xMgENqxZuei3lLa1vfkf89g+d/1mNlT+O5YTdoT65DbN3PTk3Vq+n1K8SinWyq9QSC0Y61pGgEEEEAAAQQQQAABVxQgENqxaslrJyt97zIFtBuvcg27mT2N3H5cMw4kOCQQKi9PsZPvUGpWtuqGzFWL0AC7P7doR06aRgABBBBAAAEEEEAAARsLEAhtDPrH5pKWj1PGT5tVsetrKntTa/OjlhHRiopL1ZYOddQyxN+Ovf/edPyb7ZV5Ll6NA15Wpl+wkvo1sHufdIAAAggggAACCCCAAAKuIUAgtGOdznzwuDKP71FQ77flXb2R2VOD5Qf1fWKGwwLh6fmPKOvUIbXy/bd+LneD8gY1tuOMaRoBBBBAAAEEEEAAAQRcSYBAaMdqJbzzL2Wf+VWVB32iMpWvN3vymLfL/NNRwSzx45G6eOQbdS37uHb6N3RYv3ZkpWkEEEAAAQQQQAABBBCwkQCB0EaQf9fMqeltlJuepOARG+TpW7HgpfTV/bwU07O+HXv+X9PJq19U+r4vNLD0v7Qu8F4CoUPU6QQBBBBAAAEEEEAAAdcQcLtAeOrUKQ0cOFD169fX5MmTC6p0/PhxTZkyRYcPH1a1atU0YsQI1a1bt/hV/P8buhgNhI7/VvLw0IqYZHXZeFidqgdoxf21it92Eb6Zv9Ppc57tNL9iZ/MZwgAvzyK0wKkIIIAAAggggAACCCBQUgXcLhA+++yzOn/+vMqWLVsQCHNzc82Q2Lx5c/Xq1UsbN27UokWLtHjxYvn6+har9rkZKTo1rbVK+QSo6qhNZhuOfOVE/qDP7/pEKRv+qyU+92isXy+HPbtYLDS+hAACCCCAAAIIIIAAAg4VcKtAuHXrVq1bt0633nqr9u3bVxAIDx48qHHjxmnZsmXy9vY2C9C3b1/z57777tPYsWP1wAMPqFWrVuZnRjuffvqppk+f/o/Fyk6MUcLb3VU6qIaqPPGZeV7+DqOft6mlzjUCHFLoCz99qbPLx+qL0vU1NHAogdAh6nSCAAIIIIAAAggggIBrCLhNILxw4YIGDx5shsCoqKg/BcI1a9Zo5cqVmjt3bkHVJk2apGuuucZcOSxOIMw88b3OLH5MXtfcrkp93zXbrbl0v2LSMrW36y26PaicQ66QzN/26cyigdqce536Bk8gEDpEnU4QQAABBBBAAAEEEHANAbcJhPPmzTNvE33kkUf00Ucf/SkQGiuD27Zt09SpUwuqZjxPaKwWDh8+vFiB8EL0Fp1d9m+VrdNKFbu9ruTMHAUu3Gu276gdRo2+cpJ+U/xbnbXzQnl1vfa/BELX+H/JKBFAAAEEEEAAAQQQcIiAWwTCY8eOaeLEiXrnnXfk5eV1SSC0xwrh+T3LlbLuFfk26KoKD0xQZFyqWkVEKyzEX5Ed6jikuGYnOdmKfa2ZfsvIVdPr3tHEhqEKbxTquP7pCQEEEEAAAQQQQAABBCwr4BaBcNWqVXr77bfl4+NjFsK4fTQ7O1sVK1bUkiVLZDxD+Mwzz2j58uUqU6aMeU7//v3Vp0+fgmcIW7durbZt25qfrV+/XmvXrr3sM4SpW+crNWqO/JsPkH/LoZr+Q7xG7TihfjcGaUHLmg69IOKm3KOTySlqec2bGtOkFoHQofp0hgACCCCAwP9r707gbKr/P46/ZzHDjH0wmcpSokIR1Z+IIvJLitQPpcaSFkKLpCJLKkVGokRCC1myRIts/VrJlqVCYpR9xjbMamb+j+8xd5phmOGeO3PP3Nfx8BjmnvM53+/ze2Z533PO9yCAAAIIeK+ATwTCpKQka2ZR1zJ//nwrBL7wwgsqU6aMzCyjXbt2VZMmTdSxY0ctWbJEkydPzpxl1NxDaNYZPHiwFSQHDRpkhcpx48ZlBsjTh/jYkjd1fNUnKtn8KRW/oZP6/rRLYzYd0Oj/u1R9a4fn6xGx/522+nv3X7r7opfVvUE9AmG+6rMzBBBAAAEEEEAAAQS8V8AnAuHp/KffQ2heN5eVmvsGt2/froiICPXt2zfzOYQmEIaHh2vdunVKTU21zhyax1KYmUfNmcSclsPzByph85cq3WaYQmq1ypxhdHnrGmpasUS+HhEx07pr59Zf1KXcM7qncTMCYb7qszMEEEAAAQQQQAABBLxXwCcD4fkOx+mzjOZl+9gZTyjpr58U1mGsEi65IXNCmYJ4MPyhz/pr9/qv1bNkd5W95nbNa1EtL11gHQQQQAABBBBAAAEEECjkAgTCPAzwhQTCg+8/oJT9f6h814+0KPEitf3mz/yfUCajb0cXv6F9P32ifsHtdaxW+/yd1CYPvqyCAAIIIIAAAggggAACBSNAIMyD+4UEwv1vt1bqsX0K77VI3dbGa+q22AKb4fP4D5O1e8lYvRJ4m6Kv7UYgzMOYswoCCCCAAAIIIIAAAr4gQCD00CjvGdFASk1Rxf4/6bKZv+f7A+mzdiv+1/n6e95gvaMbtL7eUwRCD405ZRFAAAEEEEAAAQQQcJoAgdADI5aenKC9IxvLr0gxJT26VFVnbFCpIgE6ElnXA3vLvWTin9/rn09666OU6ppfd6DWtauZ+0asgQACCCCAAAIIIIAAAoVegEDogSFOPbpX+8fdqYBSEZp+88QCe/6gq2spe3/XwQ86a1ZcefW9bJjSH67vgV5TEgEEEEAAAQQQQAABBJwmQCD0wIgl7/lNMVMeVFBETXWPGKj50Uf0QZMqiqxezgN7y71katxB7R/bSkuOBOmhK94iEOZOxhoIIIAAAggggAACCPiEAIHQA8OctP1HxX7aW0Uvv0lhxzpbeyiIx01kdi09XXtevUGrD57Q3VdNVVqP6z3Qa0oigAACCCCAAAIIIICA0wQIhB4YsYRNX+jwgkGKvqSZGibdq2vLFtP6ewr2vr19Ubfpl13/6MFqY3X48eYe6DUlEUAAAQQQQAABBBBAwGkCBEIPjNjxlR/r2NLR+ib8DkWm3Vlgj5vI2rUDEzvotz83qeslQzS5fQs1rVjCAz2nJAIIIIAAAggggAACCDhJgEDogdE6tvxtHf9pioYVvUvvlmilde2uVp2wEA/sKe8lYz/pqY2/fqunL3pKozrcSyDMOx1rIoAAAggggAACCCBQaAUIhB4Y2iOLXtbhtXP1SNFOWlX+1gJ73ETWrh35/CWt/36OhpXrpoEPdCcQemDcKYkAAggggAACCCCAgNMECIQeGLFDs55W9IYlerRMT1113W2a0rSqB/ZyfiWPLXtLa79+T2+Xbq9ekU8TCM+Pj7URQAABBBBAAAEEECiUAgRCDwxrzLRu2vr7KnUPH6AezZqpb+1wD+zl/Eqa+xo3zHtNH4Q21033vVBgj8A4v1azNgIIIIAAAggggAACCHhSgEDoAd0D796j33Zs0f2XvqaP72niFWfjEjZ/pc3T++vTgHoKbfOyBteL8EDPKYkAAggggAACCCCAAAJOEiAQemC09r15q9bu3qf7rnhH/3RtpNJBAR7Yy/mVTNr5izZO6q7F6Zcrud3bBMLz42NtBBBAAAEEEEAAAQQKpQCB0APDuueV+loTc0JtrvpQ6Q/X98Aezr/kyZgdWh91t1adLK8D904jEJ4/IVsggAACCCCAAAIIIFDoBAiENg9p6rED2jWmlZbHheipq9/yihlGTRfTEo7q11du1h8JRbTyns8U1aCSzT2nHAIIIIAAAggggAACCDhNgEBo84il7P1df73XSQuTLtHnDUdqResaNu/hwsv9MfR6bTtyXFFN52hpm6svvBBbIoAAAggggAACCCCAQKEQIBDaPIyJ275T9Ce99WFqTX1/w0CvCoS/jbpd23dHa1LD9zS/fWObe045BBBAAAEEEEAAAQQQcJoAgdDmEYtfP0+/zX5JHwQ3Vvn/PO9V9+pteqeTdmxbpxn1X9fHne60ueeUQwABBBBAAAEEEEAAAacJEAhtHrG47ydpy1dj9WZIa1Vv2dOrAuGGKb0UvWGpFl7zvCZEdra555RDAAEEEEAAAQQQQAABpwkQCG0esaNfj9CG5R9peJnO6tC2q1c9AH7/wpe1atnHmnJJd8156mmbe045BBBAAAEEEEAAAQQQcJoAgdDmETs0p582rPpS/Sv01ohOHb3iofSuLsb9b4JWzIvS9HLt9Mnzw23uOeUQQAABBBBAAAEEEEDAaQIEQptHLGZqV/26aaUeu3SQZt5/p+qEhdi8hwsvd2LNbC37eKC+LN1M4we9feGF2BIBBBBAAAEEEEAAAQQKhQCB0OZhPDD+Lq38c6u6VovSwcdb2lzdvXKJW5brmwmP6+fi9TR86EfuFWNrBBBAAAEEEEAAAQQQcLwAgdDmIdzz2v9p9f5juueqD5TS40abq7tXLvmfDVoe1VEbgy9T++fmqEqJIPcKsjUCCCCAAAIIIIAAAgg4WoBAaOPwpScd19bXGmt1XBG90eADrb+npo3V3S918vBuff9aS/2ZXlbVnlzkVfc3ut87KiCAAAIIIIAAAggggMD5ChAIz1fsHOufjN2p7W+31eKE8prTaKxXPZTeanbqSa14vo4Op/ipTL8fCYQ2jj2lEEAAAQQQQAABBBBwogCB0MZRS45eoy3vd9PctOr6q/kITWla1cbq9pT66vkblZJ4TKX6LNPNlSvaU5QqCCCAAAIIIIAAAggg4EgBAqGNw5bw22Jt/qSfPg68QaXuHOJVD6V3dXPW4JYqemyXAh6aqf9cW9vG3lMKAQQQQAABBBBAAAEEnCZAILRxxI7/NE2bPx+pcaGtdNntfbwyEH4d9YCSd63Rjhaj1fv2223sPaUQQAABBBBAAAEEEEDAaQIEQhtH7OjiN7Ru6VS9Xraznn3wca+8R+/zd56Qti3R3iaD1OOujjb2nlIIIIAAAggggAACCCDgNAECoY0jdmjW09qw+ms9G95Hr3fs4JWBcNbkQSq6aZZib3xCkf993MbeUwoBBBBAAAEEEEAAAQScJkAgtHHEDk7urF82r9HjVYZr/SNtVDoowMbq9pT6au54pXw3VrtrtNejjwyzpyhVEEAAAQQQQAABBBBAwJECBEIbh23f6Ob65e/d6nTFO4p7rKmNle0rtfK7uTow93ntqthIPftNtK8wlRBAAAEEEEAAAQQQQMBxAgRCu4YsLVU7ht+gNUdS1b32BzoSWdeuyrbW+WHtjzr0UTcdLXuVHnjxM1trUwwBBBBAAAEEEEAAAQScJUAgtGm8TsZGa/vbd2tpQphmNhrnfQ+lz+jn/7Zt19F3WutksTC1Hf69Tb2nDAIIIIAAAggggAACCDhRgEBo06gl7VilndMe0acpV2jZ/w3z2kCo9HTNe/oa+aenqs2ojZK/993naNOQUAYBBBBAAAEEEEAAAQRyESAQ2nSIxP+6QL/NGqhpRRqobOtBXvkMQldX3+9/syqkHFSrFxcrsOylNglQBgEEEEAAAQQQQAABBJwmQCC0acTivpuoLV+/rVEhrVWjZU+vDoQjB92jGsd/U61u76tqzYY2CVAGAQQQQAABBBBAAAEEnCZAILRpxI4sGqaN383U0LAu6nlvV91dpbRNle0v89aonqq6e5kqtBmiG5veZ/8OqIgAAggggAACCCCAAAKOECAQ2jRMsdN7aeP6FepbsZ+i/tvOKx9K7+rq0LEvqe6Omap462Oq37q3TQKUQQABBBBAAAEEEEAAAacJEAhtGrEDE9pr45+/66HKr2lhx2aqExZiU2X7y4z48B1dve4tBdZqo1ZdR9i/AyoigAACCCCAAAIIIICAIwQIhDYN0943Gmn13li1v/J9JfXw7vvyxi1OxfZDAAAgAElEQVRaoEpL+6tIlRt1e+8pNglQBgEEEEAAAQQQQAABBJwmQCC0YcTSEo5p3+hbtfyQvx6oMV7pD9e3oarnSoxa8bOqL+iiwCoN1Kr3ZM/tiMoIIIAAAggggAACCCDg1QIEQhuGJ2X/Vv317n/1VeJFmntTlPc+gzCjr9/+E6tjbzZSSFCQbn1lrfx4FqENRwElEEAAAQQQQAABBBBwngCB0IYxS9z6P0VP76MP02rq++sHen0gXLE3Tn9GtVY1xapR/y8UWLaSDQqUQAABBBBAAAEEEEAAAacJEAhtGLETa2bpr/nDNa7IzUps/KSmNK1qQ1XPlVgfG6/5UV3UKHGTbnpkgopWa+S5nVEZAQQQQAABBBBAAAEEvFaAQGjD0BxbNlZbl03Sa6FtVatFD69+KL2ru48M66PWhxfrlv++qOI33m+DAiUQQAABBBBAAAEEEEDAaQIEQhtG7PD8F7V15QI9W/ZhtW15n/rWDrehqmdLtB7xqh7ZP003t3hQpW4f4NmdUR0BBBBAAAEEEEAAAQS8UoBAaMOwxEzrrk2bf1bPiAEad18br34ovau7rSZ8rMe3vKxa1zRW1cj3bFCgBAIIIIAAAggggAACCDhNgEBow4jtH3enft+1Q/+tNFKftrvJEYHwrtnfqfuPPXR5xUt1db/FNihQAgEEEEAAAQQQQAABBJwmQCB0d8TS07V3RAOtPRinu2p8oJjIeiodFOBuVY9v33ThFvVedq9qlgpQ9RdWyi8wyOP7ZAcIIIAAAggggAACCCDgXQIEQjfHI/XYAe1/+z9afCRYXa4Y4/UPpXd1t+9Pu3T5/O5qVGS/avWaqSLhNdyUYHMEEEAAAQQQQAABBBBwmgCB0M0RS969UbsnR2pOYoTerjVcOzte42bF/Nl88Jo9SlowQPekrlfNTm+o2NUt8mfH7AUBBBBAAAEEEEAAAQS8RoBA6OZQJPz2jXbNelaT067VyusHeP1D6V3dNYHwr6/GqHfCV6rRspdKNH7YTQk2RwABBBBAAAEEEEAAAacJ+EQgTElJ0bvvvqtVq1bp0KFDuvjiixUZGamGDRtmjteuXbs0cuRI/fnnn9brffr0Ua1atXIdz+MrP9Lur0bp9YBbtb1OD8cEwhV74zTso0kaGPO+rm3YVmXuGpZrX1kBAQQQQAABBBBAAAEECpeATwTC+Ph4TZ48WS1atFCFChX0/fffa/z48Zo4caIV/tLS0tStWzcrIHbq1EnffPONpk2bpg8//FChoaHnHPGji0dq2/8+1NDi9+m627o44qH0pkMmED42c6He2TNcNa+8TuW7TCtcRza9QQABBBBAAAEEEEAAgVwFfCIQ5qRgzhB26dJFTZo00ebNm9W/f3/NmTNHwcHB1uoPPvig9bd58+Z69tln1apVK91yyy3Waz/88INmzZqlqKgoHZrTT3+tW6zeZR5Ti6ZtHBMI18fG6+aZqzT3r566OrycKj7zba4HCysggAACCCCAAAIIIIBA4RLwyUBoLhs1ZwLfe+89VapUSV988YUWLFhgXVbqWoYMGaJLLrnEOnN4rkB4cHJn/bF1vbpWHKg37mqhu6uUdswR4jdxtWb80UONw/wV3vtrBRQPc0zbaSgCCCCAAAIIIIAAAgi4L+BzgdDcTzhgwABVrlxZTzzxhCVozgz++OOPGjVqVKaouZ/QnC0065wrEO6LaqE/9u5R28pRmtv2Rkc8lN7VSRMIX98xVPcX36NyD0xUUKW67h9RVEAAAQQQQAABBBBAAAHHCPhUIDx58qSGDh2qIkWK6IUXXpC/v781UO6cIdzzSn39fjhBzatP1bp2V6tOWIhjBr/K9A26e9s49dIvirhrsEKubeOYttNQBBBAAAEEEEAAAQQQcF/AZwJhamqqXn75ZZlQ+NJLLykwMDBTz9xD+Nxzz+mzzz6zwqJZzD2GDzzwQOY9hM2aNVPLli2t177++mt9+eWX1j2EJhAuPFpcj1Qb6ZiH0rs63nThFlXY+LGGJX+uio27qOStvd0/oqiAAAIIIIAAAggggAACjhHwiUBoZhF95ZVXdOTIEZl7A12hz4RCc5bQvN61a1drgpmOHTtqyZIl1qykrllGzSWjZp3BgwdbgXLQoEFKTEzUuHHjdPCNBppyopJeqPK8IwNhypZlmnz8PZW/+laVvfffS2YdcwTTUAQQQAABBBBAAAEEELhgAZ8IhPv27VPnzp3PQHrsscfUrl076/PR0dHWcwi3b9+uiIgI9e3bN/M5hCYQhoeHa926dTJnGs2ZQ/NYCjPzaIPoMZqg+lpb7xnHPIPQBdH3p12at3qNZu8frEqXXqEKj8y+4AOJDRFAAAEEEEAAAQQQQMB5Aj4RCN0dltMnlcla7387/tG9X27SVZWqOi4QDl6zR0PW7tEv0d0UEVJEEc+vdpeK7RFAAAEEEEAAAQQQQMBBAgTCPAzWuQJh1Mb9evLnv/XQFWGa0rRqHqp5zyquQLh0/3O60v+Iwh+bp4Ayl3hPA2kJAggggAACCCCAAAIIeFSAQJgH3nMFQleoeum6CMc8lN7V5RV743TLwi2adHC0WmmLwv47RsGX35QHEVZBAAEEEEAAAQQQQACBwiBAIHRzFM19eGM2HdDo/7tUfWuHu1ktfzd3BcLXTnyqzvHLVbL5Uyp+Q6f8bQR7QwABBBBAAAEEEEAAgQITIBC6SW8e3fDt3jgtb13DUQ+lN91eHxuvup/9pi7xy/TyiZkKua69St/+nJsibI4AAggggAACCCCAAAJOESAQujlSTg6Eput+E1fruuMb9HnCeAVXvl5h97/jpgibI4AAAggggAACCCCAgFMECIRujpQJVGY5/FBdlQ4KcLNa/m9u2l8hJUbrjryogJIXKbzXwvxvBHtEAAEEEEAAAQQQQACBAhEgELrJ7gqE6Q/Xd7NSwWxeZfoGRR9P1rYDTyjEL0UVn14hv+DiBdMY9ooAAggggAACCCCAAAL5KkAgdJPbBMLKxYO0s+M1blYqmM1dl7xuSB+nsJiNCus4TsFVbyyYxrBXBBBAAAEEEEAAAQQQyFcBAqGb3CYQNqlYwnEPpXd12xUI14R9o4v+mKOSTXupeMNIN1XYHAEEEEAAAQQQQAABBJwgQCB0c5ScHghdz1GcWO43/ef3t1TsymYq026EmypsjgACCCCAAAIIIIAAAk4QIBC6OUomEDrxofSubrsC4chqyer4U28FlIpQeM8FbqqwOQIIIIAAAggggAACCDhBgEDo5ig5PRBGbdyvJ3/+W32vLqd+33WQ0k4ysYybxwSbI4AAAggggAACCCDgFAECoZsjZQLh3Nuq6e4qpd2sVDCbr9gbp1sWbrHug5wd+5pOxuywJpYpElGzYBrEXhFAAAEEEEAAAQQQQCDfBAiEblKbQLi8dQ01rVjCzUoFs3nWQLig2Fc6vvJDFW8QqZK39CqYBrFXBBBAAAEEEEAAAQQQyDcBAqGb1CYQrmt3teqEhbhZqWA23xmXrKozNqhK8SD9ceMJxc54QkERNVUucmrBNIi9IoAAAggggAACCCCAQL4JEAjdpC49ZZ2ORNZ1s0rBbm5CrVnSulyjfSNvVnpaqio+8z/5BRUr2IaxdwQQQAABBBBAAAEEEPCoAIHQo7zOKO4KhOkP11fMR48oedcalb3nDRWtcYszOkArEUAAAQQQQAABBBBA4IIECIQXxFa4NqozZ7N+PZRgXfpa7Y8ZOvbteIXWu0+lWj5buDpKbxBAAAEEEEAAAQQQQCCbAIGQA0JNF27Rt3vjrMlxGqZFK2ZqpALDqqjCI7PRQQABBBBAAAEEEEAAgUIsQCAsxIOb165Frtihqdti9UGTKoq8Ikx7zX2EKQkK7/21AoqH5bUM6yGAAAIIIIAAAggggIDDBAiEDhswTzR38Jo9GrJ2j166LkKD60Xo0OxnlLh1hcrcOUTFat/hiV1SEwEEEEAAAQQQQAABBLxAgEDoBYNQ0E2I2rhfT/78tx66IkxTmlbVidUzdXTx6wqpfYdK3zmkoJvH/hFAAAEEEEAAAQQQQMBDAgRCD8E6qWzWh9OvaF1DJ2N36sCE9goIDVN4n6+d1BXaigACCCCAAAIIIIAAAuchQCA8D6zCuuqR5FSVmbrO6p559IRZ9kW1UFr8IWtiGTPBDAsCCCCAAAIIIIAAAggUPgECYeEb0wvqUekp63Q0JVU7OlyjKiWCdPjzwUrYuFClWjyr0Pr3XVBNNkIAAQQQQAABBBBAAAHvFiAQevf45Fvrsj56omnFEorf+IWOfD5IRas3Vdn2I/OtHewIAQQQQAABBBBAAAEE8k+AQJh/1l69p74/7dKYTQcyZxpNPXFI+8e0kF+RYqr4zP8kPz+vbj+NQwABBBBAAAEEEEAAgfMXIBCev1mh3OL0mUZNJw9O7KCUg38qrMNYBV/WoFD2m04hgAACCCCAAAIIIODLAgRCXx79LH0/faZR89LRJaN1YtXHCq13n0q1fBYpBBBAAAEEEEAAAQQQKGQCBMJCNqAX2h3XTKOlgwJ0+KG6Vpnk3RsVM7WL/IuW1EVPLuWy0QvFZTsEEEAAAQQQQAABBLxUgEDopQNTEM1yzTRqAqEJhmbZ/3ZrpR7bp7CO4xVc9YaCaBb7RAABBBBAAAEEEEAAAQ8JEAg9BOvEsqfPNGr6ELdivOJ+nKyiV9yssve+6cRu0WYEEEAAAQQQQAABBBA4iwCBkEMjUyByxQ5N3Rar0f93qfrWDrc+fzI2Wgcm3GP9O/yxeQoocwliCCCAAAIIIIAAAgggUEgECISFZCDt6MbgNXs0ZO0e9alVQVENKmWWPDTraSVu+1Yh196t0ne8aMeuqIEAAggggAACCCCAAAJeIEAg9IJB8JYm5DTTqGlbyv4tOvj+/fLzD1R4r4XyL17OW5pMOxBAAAEEEEAAAQQQQMANAQKhG3iFbdOdccmqOmODNaGMa6ZRVx8PfdpHidt/UGj9DirV4pnC1nX6gwACCCCAAAIIIICATwoQCH1y2M/eab+Jq60Xs840av6f/M8GxUzrKr8iRRXec6H8Q0ojhwACCCCAAAIIIIAAAg4XIBA6fADtbn5OM4269hH78WNKiv5FxRt2UcmmPe3eNfUQQAABBBBAAAEEEEAgnwUIhPkM7u27y2mmUVebk6PXKObjR+QXFKKLen9lfWRBAAEEEEAAAQQQQAAB5woQCJ07dh5p+dlmGnXtLGZqVyXv3qASTR5TiZu6eaQNFEUAAQQQQAABBBBAAIH8ESAQ5o+zY/ZytplGXR1I+utnxc7opcDSFyvswckKKB7mmL7RUAQQQAABBBBAAAEEEMguQCDkiMgmcK6ZRl0rxk7vpaQdP6vo5Tep7H/HIIgAAggggAACCCCAAAIOFSAQOnTgPNnsKtM3KPp4sta1u1p1ws68TzD16D4deK+90lMSVebOISpW+w5PNofaCCCAAAIIIIAAAggg4CEBAqGHYJ1ctu9PuzRm0wE9dEWYpjStmmNX4n9doCOLhlqvhXUar+AqNzi5y7QdAQQQQAABBBBAAAGfFCAQ+uSwn7vTebls1FQ4unikTqyeIf/g4ir30AcKLJdzeIQYAQQQQAABBBBAAAEEvFOAQOid41LgraozZ7N+PZSgD5pUUWT1cjm3Jy1NMdMfV3L0agWUDFf5rh/zwPoCHzkagAACCCCAAAIIIIBA3gUIhHm38qk1p2yNUZdvd+quyqU1r0W1s/Y9PemEDn7woE4eilaRiFoqHznFp5zoLAIIIIAAAggggAACThYgEDp59DzY9iPJqSozdZ21hx0drlGVEkFn3Vvq4X+sUJiWeEzBlzVQ6TsGKaBEeQ+2jtIIIIAAAggggAACCCBghwCB0A7FQlrj7sV/an70Eb10XYQG14s4Zy9T9mxW7Kd9lJZwRH7BxVWq+VMKubZNIZWhWwgggAACCCCAAAIIFA4BAmHhGEeP9ML1kHpTPKrBpepTK/yc+zGPozj02bNK2fubtV7wZQ1V+o6BnC30yOhQFAEEEEAAAQQQQAAB9wUIhO4bFuoKrkdQmE7WCSumu6uUUemgAOv5hJWLB595KWlamo6v/Ehx379nPafQzEBa4tY+Cq3btlA70TkEEEAAAQQQQAABBJwoQCB04qjlc5vn7TyiyBU7dDQlNcc9m6BYOihQL9WLUNOKJax1Uo/s1uH5Lyp590br/0GV6qlMm6HWbKQsCCCAAAIIIIAAAggg4B0CBELvGAevb4V5NuH62Hjr7864JO08nqz1MfFnhMTI6mEa3aCSdRbRLPHrPtPRpWOUnnxC/sVKq+Stva2JZ5h0xuuHnAYigAACCCCAAAII+IAAgdAHBtnTXTT3Gq7YE6eojfutgGjCYFSDSnqoepi169RjB3T0y+FK3P5DZlNMKAyt01ZFr7zV082jPgIIIIAAAggggAACCJxFgEDIoWGbgDmLGPntDn27N86qaS4f/aBJ1cz7DJO2/6C47ydlXkZq1gkoXk7FardWSJ22CixzsW1toRACCCCAAAIIIIAAAgjkLkAgzN2INc5T4PR7Ds0jK8wMpa7LSFMO/qX4dXOUsOlL69mFpxY/BVe5QaHXtVPR6k0l/1OXnLIggAACCCCAAAIIIICA5wQIhJ6z9enK5sH2g9fs1phNByyHKsWD9EHTqpmTzrhw4jd+ofj1c5X897pMr8Dy1VSkwhUKLHup/AKLKrBCNQWWudT6PwsCCCCAAAIIIIAAAgjYJ0AgzKPltGnTNG/ePKWmpqpZs2bq2bOnAgI4i5Ubn7m/sO+Pu/TroQRr1bsrl7YeXdGkYolsj6w4eWiX4tfPU/yGhUqLP3TWsoHlLrOCYVCl+goKry6/IkXlH1Ja/sVKyS+4eG7N4XUEEEAAAQQQQAABBBDIIkAgzMPhsHTpUk2YMEEjRoxQaGionn/+ed1yyy26//7787A1qxiBwWv2ZE464xIxZw2bRpRQ04olswVEEw6tvwe3n/oYG62Th6KVFn84V8yA0DD5FSuVGRL9i5ZSQGhZ+RUtYYVGM9Op9dGEyIwgmWtRL1/BzPx6NPnUI0HMmVnzf9diLtM14ds8N5IFAQQQQAABBBBAAIHTBQiEeTgm+vfvr1q1aqlz587W2kuWLJE5Y2j+suRdwEw6M2/nYblmJT39uYYmIJrgUqfcmeHFTFDjlxyvwMM7VeTY3wo4+o8CDm5VQEKs/BOOyj/pmEr6JefamLgcnqWYHlxSaUVLK836WFLpxU79O71IiFJLRSg1pEK2uqFBAbqyXBn5BYXIPzjU+mj+urNkDXWmjjFyLUeSsoc812M/znd/xtAEcGNsQqLrns7zrZPb+mZSoVJBAYTQ3KB4HQEEEEAAAQQQ8AIBAmEeBqFDhw7q3bu3GjZsaK29Y8cO9ejRQ4sWLVJQUFAeKrBKTgImBJnHVZwtIF6IWljKYZVMjVPxtBMqeTLO+lvC/Dv1uEqePKYSqcet10qlxqnEyTiFpv17Nu1C9me2CfL3V3CAn5ICiirZv5hKFi+hk4HFlBpYLLNkUmq6YpJSlS5/M3+OjiWn6VhKmtL9/JRurXXqY7p50fzbfN5PSk/P+Lf5T8a6meub/6f7qUKxQAUHmsuXT61bOTTY+ujn76fDSWnacTzZOnN4qpZZzezLTxcVK6KKxYN1WYmiqhgapIiQIlaNv44nyy+jttmX+bfV6IztzEfzd9vRJOvjlqOJMoX/iPs3kBcLCFDUTZXll9Evs57549rW6mxGHVPb2l/GR+vzlkPGOlk+n56xndUmP//c13Ht06rln9mX0/tl7TNLm7K1J4d2+2Xs+9QmZkwz+pZjv06N76k2Z/zNbJer76etc3r//f2Vre9Z+5Xxb1d9s56fv7Fx7etUbWsMMmzP6L9pX5HgC/0SOO/t0lOSMsYuy6ZWBzOWrP/O+Aoxr6Rn+XzGEeLaIMumGXXOUiNbY/Own1PwWQ61Uw05c3+nff7UAZXDkts+c9rfufaZdT/Zamfd95m2WS2ztjWr69nWydr/bP92bXyWsbRln1lrZ29sjsdP+ll8sm1q1jnb8ZdLn7LandfxmXVMz7NP57PPbOY2f01Y305y+JrN03GT/QvxjDpna7c9+8z5e41XH5+nf3/Jw1iWaNwj5+9BfBaBHAQIhHk4LO666y4NHTpU1157rbX2gQMHrMtFZ8+erQULFuShAqvkRWBXelFFpwXrYJoJJtmXP9JDcy3xR1ruZ+kq+SUqxC8tW60SKccUmnpcoaknVDz1uEJMaEw9ocD0FPmlp6toWoKC05JUNPXUx8DURKWmnVSx9EQVTU1UsbREBadn/IKbaytzXiHIior//pAqqn/baH61D8rS5kCly/w9nyVNfkqUv5LTT300fz21uNp+UR7O2HqqDdRFAAEEEEDAlwVqj9rhy92n7+cpQCDMA9i5zhDOmDEjDxVYpTALxKQHKUZFVCQ1QYFpyYpO8VdQWqIC01JOdTs9zQqh4f7J1vkyEzJL66RK+aVknAdKt858WG+2Wu/6Zfxb/37eOoHlWscVBs3/Mz9/ahtrnVP/yCD/9/Pmc9YJqlON0u60IJm270kvopi0QB1PD7BeL+eXrGCZCHmqzqlzd/+2ybTfvFY2Y70wpSjYL1UmAJrXzJ/MvrjaYp22yth3tnafaour3+Z/rvadauZp/cnBJ2u/Tr3D62pr9tr/vpl9an/W/7O2L8Mlc/85rZOxftZ1svbL9c696/Vs42r6n9G+rP08fVyzbuufsb/Tx9U1xq5t/x3zf890ZFsnwz6bT0Zb/NNPetWXZ5pf4L/tyXo6IOt7IBmfz/62yL8jfOpMaMaXX5beZTsRk7V21vVzeq/lLK9n3c+pL7yMfWY9AZFl/5nr57Y/6wDJud757DPbuq6zzqe+4s6y5OyWU5281MjWh6x7zGEsM75arbXcaXeu+zx93M8yVlnrZAM7y3GT7URk1r5mrp/9nHZOx2fmlRGnj04u+8w2FtlOodmxz/OrkZevPZetXeOcjcv1veEsx1h22pyP97Otk+2YyFwp96+ZbCfzzvK9KfP4ycPxdbZj3LoKx/U9yM9Pt/Wb7FXf22mMdwsQCPMwPuYewmuuuSZzEhkzyczUqVO5hzAPdqyCAAIIIIAAAggggAAC3itAIMzD2JhJZCZNmqQ33nhDISEhGjBggJo0acIso3mwYxUEEEAAAQQQQAABBBDwXgECYR7HxpwRnD9/Ps8hzKMXqyGAAAIIIIAAAggggID3CxAIvX+MaCECCCCAAAIIIIAAAggg4BEBAqFHWCmKAAIIIIAAAggggAACCHi/AIHQ+8eIFiKAAAIIIIAAAggggAACHhEgEHqElaIIIIAAAggggAACCCCAgPcLEAi9f4xoIQIIIIAAAggggAACCCDgEQECoUdYKYoAAggggAACCCCAAAIIeL8AgdD7x4gWIoAAAggggAACCCCAAAIeESAQeoSVoggggAACCCCAAAIIIICA9wsQCL1/jGghAggggAACCCCAAAIIIOARAQKhR1gpigACCCCAAAIIIIAAAgh4vwCB0PvHiBYigAACCCCAAAIIIIAAAh4RIBB6hJWiCCCAAAIIIIAAAggggID3CxAIvX+MaCECCCCAAAIIIIAAAggg4BEBAqFHWCmKAAIIIIAAAggggAACCHi/AIHQ+8eIFiKAAAIIIIAAAggggAACHhEgEHqElaIIIIAAAggggAACCCCAgPcLEAi9f4xoIQIIIIAAAggggAACCCDgEQECoZusS9dsd7MCmyOAAAIIIIAAAgggYJ9As3qX21eMSoVegEBY6IeYDiKAAAIIIIAAAggggAACOQsQCDkyEEAAAQQQQAABBBBAAAEfFSAQ+ujA020EEEAAAQQQQAABBBBAgEDIMYAAAggggAACCCCAAAII+KgAgdBHB55uFw6Bl19+WbVq1dLdd99dODpELxwrwLHo2KFzfMM///xzrV27Vi+99JLj+0IHnCWwa9cu9e3bV5999pmzGk5rEThNgEDIIYFAAQu8+OKLWrlyZWYrQkNDNW/evMz/mx84I0eO1J9//qmLL75Yffr0sUKgWfglvIAHz2G7j4mJUVRUlLZs2aIjR47o008/VdmyZTN7ER8frzfffFM///yzihcvrvvvv1933nknx6LDxtlbm2u+j23YsEF79+7V888/r1tuuSWzqbNmzdJ7772XrenvvvuuLr/81EyJ5zo2CYTeOuLe0a6UlBSZY2nVqlU6dOiQ9XM0MjJSDRs2zGzgDz/8YK0TGxura665Rv369VNYWFjm69OmTbN+LqempqpZs2bq2bOnAgICRCD0jjGmFe4LEAjdN6QCAm4JmEBofjA1b97cquPn56ciRYpY/05LS1O3bt2s1zt16qRvvvlG5gfThx9+KBMcCYRu0fvcxuaXnR9//NH6hah///5nBEITBvfs2SNzTP7999/WL+2vvPKKateuzbHoc0eL/R02v1BXrVpVo0eP1kMPPXRGINy+fbueeuqpzB2b74Pm+6FZznVsEgjtH6vCVNG8mTB58mS1aNFCFSpU0Pfff6/x48dr4sSJ1vfCffv2WT9nzffE6667TmPHjtXhw4f1+uuvWwxLly7VhAkTNGLECOvnruvNDPOGGYGwMB0pvt0XAqFvjz+99wIB88t348aN1bJlyzNas3nzZuuH1Jw5cxQcHGy9/uCDD1p/TYDMGgjNGZ/nnnvOqmV+ULEgcDaBo0ePqn379tkC4cmTJ9W2bVsNHz7ceofcLKNGjbI+Pv300+JY5HiyS6B79+7W96jTzxDu2LFDzz777Bm7ye3YzBoIzZto5kzksWPHNGjQIAUFBdnVbOoUIgFzhrBLly5q0qSJPvnkE+uSY3PcmOXAgQPW8Wk+X758eetnsLkqp3PnztbrS5Yssd6YNX9PD4QLFy7U7NmzrfAYHh5eiMToStUmhwUAAA77SURBVGEXIBAW9hGmf14vYALhX3/9ZbXzkksusc4E1qlTx/r/F198oQULFliXsriWIUOGWOuZdzRdgdCcQTRhsE2bNtxP6PUjXvANzCkQ7t6927qMypzFMe+Cm8X8e9myZXrrrbc4Fgt+2ApNC84WCGfMmGFdHWEu1bv99tszL1fO7dh0BUJz5sa8oWFqmF/iAwMDC40ZHbFPwFw2an7OmkuUK1WqpFdffVWlS5fWY489lrmTdu3aWWcC69evrw4dOqh3796Zl5iaNy569OihRYsWWWcXXfcQmkvwzdnE1157Ldul+Pa1nEoIeE6AQOg5WyojkCcBc/+guY/LnAE0l/OZdx3HjRtnXVplzgyaz7nO1JiC5l1Ms+4TTzxhBcIyZcpY93yZdy/NJTEsCOQmkFMgNPeoml+IFi9enHmZnrlE2fySM2nSJI7F3FB5Pc8COQVCc19rUlKSFQa3bdtmvQlh3vS64447rPunz3VsmkBovk+a+7sqVqxo3Wft7++f5/awou8ImPsJBwwYoMqVK1s/Q81iziRXq1bNuvLGtZifpw8//LBuvvlm3XXXXRo6dKiuvfZa62XXGURzJtB8LzWB0Byn69ats8JliRIlfAeUnhYaAQJhoRlKOlJYBF544QVdeeWVVsDLyxnCX3/91bqsZcyYMZn3HhYWC/rhGQFPnSHkWPTMeBW2qjkFwtP7OHPmTGsSEPMGWF7OEE6dOtUKlObNCy7VK2xHjD39MZcem2BnziCbn7OuNw3cPUP46KOPWjWfeeYZ65YNFgScKEAgdOKo0eZCLWCmTjdnB83le+a+LXMpqJnS2jXRjPn8Aw88kHkP4dVXX22tZ34ZGjx4MJdJFeqjw57One0eQvP4EnO5k2sWWzORR3p6euY9hByL9vj7epW8BELzPe+7776zJqAxv8if69h0XTJq7n2dO3euNQFNuXLlfJ2Z/mcRMGePzRU15lgyP2OzXk5s7hVcv3595iQyBw8etC4pzXoPoTm2XPfmm8tCzRsQWe8hHDZsmFXXBM26detij4DjBAiEjhsyGlyYBBITE61LncylKCbwmdnPzAxn5pcgc5bQTJDQtWtX68b3jh07Wjezm9nSTp9l1DwawLzzaWbkGzhwoDUdNgsCOQkkJydbE26Y4+mjjz6yLjl2TbxhLk02l0OZ+1r/+ecf680I80uUa5ZRjkWOKXcEzOV65g0Gc/mnuS/LfF8zv5ibMzXLly9X9erVrXu5tm7dak3Kcc899+jee++1dnmuYzPrpDLm8RXm3i6zftbHBrjTbrZ1toD5OWpmSzYTr5l78F1vrrqOPfMYFHN5qAlz5v79t99+WyYUumYZNT93zZnnN954QyEhIdYlp+bYPX2WUfNIFfNz2FyC6pqYy9lytN6XBAiEvjTa9NXrBBISEqwb181N6uadSzNZjDn716hRo8y2RkdHW5dNmSnZIyIirPsVcnoOoflly/ywM/cXZr0cxus6TYMKTMC8S24m6zh9Mb9Am1CY9VlvZmIZcyxmfQ4hx2KBDV2h2LH53mWuZsi6mF/Ur7/+euuSd/OG2PHjx61L4M2sy+ZNC9dlfec6Nk9/7MT06dOtR/SYUGje8GDxbQEz8YtrhtCsEuaNCTN5jFnMsWceLXG25xCaM4Lz58/P9TmE5j5CM7GR+Vlcs2ZN34an944SIBA6arhoLAIIIIAAAggggAACCCBgnwCB0D5LKiGAAAIIIIAAAggggAACjhIgEDpquGgsAggggAACCCCAAAIIIGCfAIHQPksqIYAAAggggAACCCCAAAKOEiAQOmq4aCwCCCCAAAIIIIAAAgggYJ8AgdA+SyohgAACCCCAAAIIIIAAAo4SIBA6arhoLAIIIIAAAggggAACCCBgnwCB0D5LKiGAAAIIIIAAAggggAACjhIgEDpquGgsAggggAACCCCAAAIIIGCfAIHQPksqIYAAAggggAACCCCAAAKOEiAQOmq4aCwCCCCAAAIIIIAAAgggYJ8AgdA+SyohgAACCCCAAAIIIIAAAo4SIBA6arhoLAIIIIAAAggggAACCCBgnwCB0D5LKiGAAAIIIIAAAggggAACjhIgEDpquGgsAggggAACCCCAAAIIIGCfAIHQPksqIYAAAggggAACCCCAAAKOEiAQOmq4aCwCCCCAAAIIIIAAAgggYJ8AgdA+SyohgAACCCCAAAIIIIAAAo4SIBA6arhoLAIIIIAAAggggAACCCBgnwCB0D5LKiGAAAIIIIAAAggggAACjhIgEDpquGgsAggggAACCCCAAAIIIGCfAIHQPksqIYAAAggggAACCCCAAAKOEiAQOmq4aCwCCCCAAAIIIIAAAgggYJ8AgdA+SyohgAACCCCAAAIIIIAAAo4SIBA6arhoLAIIIIAAAggggAACCCBgnwCB0D5LKiGAAAIIIIAAAggggAACjhIgEDpquGgsAggggAACCCCAAAIIIGCfAIHQPksqIYAAAggggAACCCCAAAKOEiAQOmq4aCwCCCCAAAIIIIAAAgggYJ8AgdA+SyohgAACCCCAAAIIIIAAAo4SIBA6arhoLAIIIIAAAggggAACCCBgnwCB0D5LKiGAAAKFQuDTTz/V66+/rjlz5qhKlSoe79PQoUM1f/58derUSU8//bTH98cOEEAAAQQQQOBfAQIhRwMCCCCAQDYBOwPhuHHjNHPmTH377bc5KicmJqpFixZKSUlRaGiovvrqKwUGBjIiCCCAAAIIIJBPAgTCfIJmNwgggIBTBPIzEH755Zd68cUX9eSTT2r06NGKiopS48aNnUJFOxFAAAEEEHC8AIHQ8UNIBxBAAAF7BfIaCFetWqV3331Xf/zxh3VW77rrrlPfvn0zLzMdOXKkpk+fnq1x5cuXt84CupaePXtq9+7d+uyzz3T77berbt26GjFiRLZtTFD84osvrFrDhw/XL7/8ojvvvFP9+/e31tu2bZvGjx+vtWvXKjk5WTVq1FDv3r2t9riWuXPn6uWXX7b+6+fnp/DwcOt1s/+LLrrIXkCqIYAAAggg4CABAqGDBoumIoAAAvkhkJdAaMKgCVP33XefunTpooSEBL3yyitWODTBzRWyznXJ6MGDB9WqVSt17dpVjz/+uHXfogmGixcvVsmSJTO7agLhokWLrADXsWNH1a5dO/Oy0q1bt1r7b9KkiVWjRIkSMu1///33NWXKFF111VVnkJ08eVLR0dEygfXw4cP66KOPuEw1Pw4s9oEAAggg4JUCBEKvHBYahQACCBScQF4CYWRkpMz9fzNmzMhs6JEjR3THHXeoTZs2mWfvzhUITWAbO3asFeCqVaum9evXq1u3bhowYIDat2+fLRCa0DZq1Cg1bdo0G4wJpfv27bNqZL33sHv37laofPPNN88KaUJhu3btNG3aNNWsWbPgwNkzAggggAACBShAICxAfHaNAAIIeKNAboEwKSlJN910k3VmzgSyrIs5S2fO/M2aNcv69LkCoSv0zZ4921o3PT3dCpQVKlSwzu65FnOG0ATCn376SUFBQZmfNxPRNGrUyJqdtE+fPtna8c4771htWLZsmfV5cympqWEuPTUB0pzRdC2vvvqqNbENCwIIIIAAAr4oQCD0xVGnzwgggMA5BHILhDExMWrZsqX1iAgTxrIuAwcO1MqVK63LPs8VCDdv3qwHH3xQjzzyiHr06HFG+DOXjlauXNn6vAmECxYs0PLly7PtKzY2Ntcgt2bNGmsbc1/i119/LfOIizp16lgzmrouWR02bJj+85//cEwggAACCCDgkwIEQp8cdjqNAAIInF0gt0B4rjOE5ozhgQMHcj1DaAKaeRzF2RZzX6Hr7KNrUplvvvkm2+qmHeYM4cMPP5wtVOZUs1mzZrr33nv16KOPZr68YcMG6ywngZCvBgQQQAABXxYgEPry6NN3BBBAIAeB3AKh2cTcQ2gCWdZZRI8ePWqdaTMzgD733HNW5cmTJ2vSpEn68ccfM/dkLvU0ZxjNJDFmYpfTl169emnHjh1auHChNSPo2QKh2c4EvLi4OOs+wICAgBzH01yKaoKjuT/RBE3XYiaxMX0lEPJlgAACCCDgywIEQl8effqOAAIIXGAg/Pnnn/XEE0+oQ4cOVjg09+SZe/E2bdpkTTRTsWJFq7K5zPOZZ56xHk9Rr149+fv7W/f19evXz5pV1Jy5O30x9/mZS0/NNtdff/05A6GZZdSEPPPsQnPpqdmvuUfQBFDz8amnnrLKmzb8/vvv1iQzERERMs8/XL16tZYuXUog5KsAAQQQQMCnBQiEPj38dB4BBBA4U8B1hjAnm8suuyzzclATCidMmJD5HEIT+Mzz/8w6riUtLc0KXCYYmjN55jmE5lEQ5t4+cwlocHDwGbuJj4/XbbfdpubNm2vIkCHnDIRm4507d1rtMI/CMNuawGfOCD7wwAPW/sxiHi9hAqgJiiaUmklkzBlD89gLzhDyVYAAAggg4MsCBEJfHn36jgACCCCAAAIIIIAAAj4tQCD06eGn8wgggAACCCCAAAIIIODLAgRCXx59+o4AAggggAACCCCAAAI+LUAg9Onhp/MIIIAAAggggAACCCDgywIEQl8effqOAAIIIIAAAggggAACPi1AIPTp4afzCCCAAAIIIIAAAggg4MsCBEJfHn36jgACCCCAAAIIIIAAAj4tQCD06eGn8wgggAACCCCAAAIIIODLAgRCXx59+o4AAggggAACCCCAAAI+LUAg9Onhp/MIIIAAAggggAACCCDgywIEQl8effqOAAIIIIAAAggggAACPi1AIPTp4afzCCCAAAIIIIAAAggg4MsCBEJfHn36jgACCCCAAAIIIIAAAj4tQCD06eGn8wgggAACCCCAAAIIIODLAgRCXx59+o4AAggggAACCCCAAAI+LUAg9Onhp/MIIIAAAggggAACCCDgywIEQl8effqOAAIIIIAAAggggAACPi1AIPTp4afzCCCAAAIIIIAAAggg4MsCBEJfHn36jgACCCCAAAIIIIAAAj4tQCD06eGn8wgggAACCCCAAAIIIODLAgRCXx59+o4AAggggAACCCCAAAI+LUAg9Onhp/MIIIAAAggggAACCCDgywL/D5U/3yNfawCMAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate('LotArea')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "ec9264a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate('1stFlrSF')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83c4f95a",
   "metadata": {},
   "source": [
    "We see that for important features, the data in production will not be similar in distributions to that in training"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "842637b6",
   "metadata": {},
   "source": [
    "### Distribution of predicted values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84f0009b",
   "metadata": {},
   "source": [
    "This graph shows distributions of the production model outputs on both baseline and current datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "0f506b2f",
   "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": "c6ddb503",
   "metadata": {},
   "source": [
    "Differences between 2 datasets generate a difference in the distribution of the predictions of the deployed model. These differences can have important impacts on the performance of the model in production. <br />\n",
    "Such differences in predicted probabilities may call into question the decision to deploy the model as is."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b65b795",
   "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": 34,
   "id": "14df65a7",
   "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"
   ]
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    "With this tutorial, we hope to have detailed how Eurybia can be used in a data validation phase before deploying a model."
   ]
  }
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