{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Groups of features\n",
    "\n",
    "Shapash allows the use of groups of features.  \n",
    "With groups of features you can regroup variables together and use the different functions of Shapash to analyze these groups.\n",
    "\n",
    "For example if your model uses a lot of features you may want to regroup features that share a common theme.  \n",
    "This way **you can visualize and compare the importance of these themes and how they are used by your model.** \n",
    "\n",
    "Contents of this tutorial:\n",
    "- Build a model\n",
    "- Contruct groups of features\n",
    "- Compile Shapash SmartExplainer with the groups\n",
    "- Start Shapash WebApp\n",
    "- Explore the functions of Shapash using groups\n",
    "- Use groups of features in production with SmartPredictor object\n",
    "\n",
    "Data from Kaggle [House Prices](https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Motivation\n",
    "\n",
    "In this use case, we have a lot of features that describe the house very precisely.  \n",
    "\n",
    "However, when analyzing our model, **you may want to get more general insights of the themes that are most important in setting the price of a property**.  \n",
    "This way, rather than having to check the 6 features describing a garage, you can have a more general idea of how important the garage is by grouping these 6 features together. Shapash allows you to visualize the role of each group\n",
    "in the features importance plot.  \n",
    "\n",
    "Also, you may want to understand why your model predicted such an important price for a specific house. If many features describing the location of the house are contributing slightly more than usual to a higher price, **it may not be visible directly that the price is due to the location because of the number of features**. But grouping these variables together allows to easily understand a specific prediction. Shapash also allows you to group features together in local plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from category_encoders import OrdinalEncoder\n",
    "from lightgbm import LGBMRegressor\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building a supervized model "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load House Prices data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapash.data.data_loader import data_loading\n",
    "house_df, house_dict = data_loading('house_prices')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>1</th>\n",
       "      <td>2-Story 1946 &amp; Newer</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>8450</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>College Creek</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>2008</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>208500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1-Story 1946 &amp; Newer All Styles</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>9600</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>Frontage on 2 sides of property</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>Veenker</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>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2-Story 1946 &amp; Newer</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>11250</td>\n",
       "      <td>Paved</td>\n",
       "      <td>Slightly irregular</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>College Creek</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>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2-Story 1945 &amp; Older</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>9550</td>\n",
       "      <td>Paved</td>\n",
       "      <td>Slightly irregular</td>\n",
       "      <td>Near Flat/Level</td>\n",
       "      <td>All public Utilities (E,G,W,&amp; S)</td>\n",
       "      <td>Corner lot</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>Crawford</td>\n",
       "      <td>...</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Abnormal Sale</td>\n",
       "      <td>140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2-Story 1946 &amp; Newer</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>14260</td>\n",
       "      <td>Paved</td>\n",
       "      <td>Slightly irregular</td>\n",
       "      <td>Near Flat/Level</td>\n",
       "      <td>All public Utilities (E,G,W,&amp; S)</td>\n",
       "      <td>Frontage on 2 sides of property</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>Northridge</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>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 73 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         MSSubClass                 MSZoning  LotArea Street  \\\n",
       "Id                                                                             \n",
       "1              2-Story 1946 & Newer  Residential Low Density     8450  Paved   \n",
       "2   1-Story 1946 & Newer All Styles  Residential Low Density     9600  Paved   \n",
       "3              2-Story 1946 & Newer  Residential Low Density    11250  Paved   \n",
       "4              2-Story 1945 & Older  Residential Low Density     9550  Paved   \n",
       "5              2-Story 1946 & Newer  Residential Low Density    14260  Paved   \n",
       "\n",
       "              LotShape      LandContour                         Utilities  \\\n",
       "Id                                                                          \n",
       "1              Regular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "2              Regular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "3   Slightly irregular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "4   Slightly irregular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "5   Slightly irregular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "\n",
       "                          LotConfig     LandSlope   Neighborhood  ...  \\\n",
       "Id                                                                ...   \n",
       "1                        Inside lot  Gentle slope  College Creek  ...   \n",
       "2   Frontage on 2 sides of property  Gentle slope        Veenker  ...   \n",
       "3                        Inside lot  Gentle slope  College Creek  ...   \n",
       "4                        Corner lot  Gentle slope       Crawford  ...   \n",
       "5   Frontage on 2 sides of property  Gentle slope     Northridge  ...   \n",
       "\n",
       "   EnclosedPorch 3SsnPorch ScreenPorch PoolArea  MiscVal  MoSold  YrSold  \\\n",
       "Id                                                                         \n",
       "1              0         0           0        0        0       2    2008   \n",
       "2              0         0           0        0        0       5    2007   \n",
       "3              0         0           0        0        0       9    2008   \n",
       "4            272         0           0        0        0       2    2006   \n",
       "5              0         0           0        0        0      12    2008   \n",
       "\n",
       "                        SaleType  SaleCondition SalePrice  \n",
       "Id                                                         \n",
       "1   Warranty Deed - Conventional    Normal Sale    208500  \n",
       "2   Warranty Deed - Conventional    Normal Sale    181500  \n",
       "3   Warranty Deed - Conventional    Normal Sale    223500  \n",
       "4   Warranty Deed - Conventional  Abnormal Sale    140000  \n",
       "5   Warranty Deed - Conventional    Normal Sale    250000  \n",
       "\n",
       "[5 rows x 73 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = house_df['SalePrice']\n",
    "X = house_df.drop('SalePrice', axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Encoding Categorical Features "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "categorical_features = [col for col in X.columns if X[col].dtype == 'object']\n",
    "\n",
    "encoder = OrdinalEncoder(\n",
    "    cols=categorical_features,\n",
    "    handle_unknown='ignore',\n",
    "    return_df=True\n",
    ").fit(X)\n",
    "\n",
    "X = encoder.transform(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Train / Test Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.75, random_state=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model fitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "regressor = LGBMRegressor(n_estimators=200).fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Construct groups of features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are quite a lot of features used by the model and it can be hard to compare them.\n",
    "\n",
    "**We can regroup the features that share similarities in order to identify which topic is important.**\n",
    "\n",
    "In our example we constructed the following new groups :\n",
    "- `location`: features related to the location of the house\n",
    "- `size`: features that measure part of the house\n",
    "- `aspect`: features that evaluate the style of any part of the house \n",
    "- `condition`: features related to the quality of anything in the house \n",
    "- `configuration`: features about the general configuration / shape of the house\n",
    "- `equipment`: features that describe the equipment of the house (electricity, gas, heating...)\n",
    "- `garage`: features related to the garage (style, ...) \n",
    "- `sale`: features related to the sale of the house"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We construct the groups as a dictionary of string keys and list of string values\n",
    "# All the features inside the list will belong to the same group\n",
    "features_groups = {\n",
    "    \"location\": [\"MSZoning\", \"Neighborhood\", \"Condition1\", \"Condition2\"],\n",
    "    \"size\": [\n",
    "        \"LotArea\",\n",
    "        \"MasVnrArea\",\n",
    "        \"BsmtQual\",\n",
    "        \"BsmtFinSF2\",\n",
    "        \"BsmtUnfSF\",\n",
    "        \"TotalBsmtSF\",\n",
    "        \"1stFlrSF\",\n",
    "        \"2ndFlrSF\",\n",
    "        \"GrLivArea\",\n",
    "        \"WoodDeckSF\",\n",
    "        \"OpenPorchSF\",\n",
    "        \"EnclosedPorch\",\n",
    "        \"3SsnPorch\",\n",
    "        \"ScreenPorch\",\n",
    "        \"PoolArea\",\n",
    "        \"BsmtFinSF1\"\n",
    "    ],\n",
    "    \"aspect\": [\n",
    "        \"LotShape\",\n",
    "        \"LandContour\",\n",
    "        \"RoofStyle\",\n",
    "        \"RoofMatl\",\n",
    "        \"Exterior1st\",\n",
    "        \"MasVnrType\",\n",
    "    ],\n",
    "    \"condition\": [\n",
    "        \"OverallQual\",\n",
    "        \"OverallCond\",\n",
    "        \"ExterQual\",\n",
    "        \"ExterCond\",\n",
    "        \"BsmtCond\",\n",
    "        \"BsmtFinType1\",\n",
    "        \"BsmtFinType2\",\n",
    "        \"HeatingQC\",\n",
    "        \"KitchenQual\"\n",
    "    ],\n",
    "    \"configuration\": [\"LotConfig\", \"LandSlope\", \"BldgType\", \"HouseStyle\"],\n",
    "    \"equipment\": [\"Heating\", \"CentralAir\", \"Electrical\"],\n",
    "    \"garage\": [\n",
    "        \"GarageType\",\n",
    "        \"GarageYrBlt\",\n",
    "        \"GarageFinish\",\n",
    "        \"GarageArea\",\n",
    "        \"GarageQual\",\n",
    "        \"GarageCond\",\n",
    "    ],\n",
    "    \"sale\": [\"SaleType\", \"SaleCondition\", \"MoSold\", \"YrSold\"]\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Optional : we can also give labels to groups names**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "groups_labels = {\n",
    "    'location': 'Location of the property',\n",
    "    'size' : 'Size of different elements in the house',\n",
    "    'aspect': 'Aspect of the house',\n",
    "    'condition': 'Quality of the materials and parts of the property',\n",
    "    'configuration': 'Configuration of the house',\n",
    "    'equipment': 'All equipments',\n",
    "    'garage': 'Garage group of features',\n",
    "    'sale': 'Sale information'\n",
    "}\n",
    "house_dict.update(groups_labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compile Shapash SmartExplainer object using groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapash import SmartExplainer\n",
    "# optional parameter, specifies label for features and groups name\n",
    "xpl = SmartExplainer(\n",
    "    model=regressor,\n",
    "    preprocessing=encoder,\n",
    "    features_groups=features_groups,\n",
    "    features_dict=house_dict\n",
    ")  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "xpl.compile(x=X_test,\n",
    "    y_target=y_test, # Optional: allows to display True Values vs Predicted Values\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Start WebApp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now start the webapp using the following cell.\n",
    "\n",
    "The groups of features are visible by default on the features importance plot.  \n",
    "You can disable the groups using the `groups` switch button.\n",
    "\n",
    "Also you can click on a group's bar to display the features importance of the features inside the group."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "app = xpl.run_app(title_story='House Prices')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Stop the WebApp after using it**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "app.kill()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explore the functions of Shapash using groups"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Features importance plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Display the features importance plot that includes the groups and excludes the features inside each group**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArwAAAHCCAYAAAANehpvAAAgAElEQVR4XuydB7RURdZGC8yKqGMWUBRMKGYwB9RRFBEDJtQRdBR1DIiDOWNmVBxzDmNWJBpgzIoYMKKCYUQdFcHRUQdRkfCvffzPs/pyu/v2e/1Sv6/WYgHdt+tWfVXdd9epU+c0mzt37tygIgWkgBSQAlJACkgBKSAFKlSBZgLeCh1ZdUsKSAEpIAWkgBSQAlLAFBDwaiJIASkgBaSAFJACUkAKVLQCAt6KHl51TgpIASkgBaSAFJACUkDAqzkgBaSAFJACUkAKSAEpUNEKCHgrenjVOSkgBaSAFJACUkAKSAEBr+aAFJACUkAKSAEpIAWkQEUrIOCt6OFV56SAFJACUkAKSAEpIAUEvJoDUkAKSAEpIAWkgBSQAhWtgIC3oodXnZMCUkAKSAEpIAWkgBQQ8GoOSAEpIAWkgBSQAlJAClS0AgLeih5edU4KSAEpIAWkgBSQAlJAwKs5IAWkgBSQAlJACkgBKVDRCgh4K3p41TkpIAWkgBSQAlJACkgBAa/mgBSQAlJACkgBKSAFpEBFKyDgrejhVeekgBSQAlJACkgBKSAFBLyaA1JACkgBKSAFpIAUkAIVrYCAt6KHV52TAlJACkgBKSAFpIAUEPBqDkgBKSAFpIAUkAJSQApUtAIC3ooeXnVOCkgBKSAFpIAUkAJSQMCrOSAFpIAUkAJSQApIASlQ0QoIeCt6eNU5KSAFpIAUkAJSQApIAQGv5oAUkAJSQApIASkgBaRARSsg4K3o4VXnpIAUkAJSQApIASkgBQS8mgNSQApIASkgBaSAFJACFa2AgLeih1edkwJSQApIASkgBaSAFBDwag5IASkgBaSAFJACUkAKVLQCAt6KHl51rikoMGLEiPDzzz9n6uqCCy4Y9thjj0zX1sZFc+bMCc2bN6+NqhtUnT/++GN45JFHrE2dO3cObdu2bVDtq83GNJUxrk0NVbcUkALlV0DAW35NVaMUqFMFdtxxx/Df//430z0XXXTR8Pzzz2e6ttwXPfHEE+Gaa64JQ4cOLXfVDa6+zz//PPTo0cPadd5554Vu3bo1uDbWRoMmTZoULr744nD66aeH1VdfvTZuoTqlgBSQAtVSQMBbLdn0ISnQcBSIgXfVVVct2LCWLVuGW2+9tc4b/+ijj4YzzzzT7vvaa6/V+f3r+oZNEXi/+OKLsPvuu5vU9913n4C3ried7icFpEBBBQS8miBSoJEr4MC79957h9NOO61B9mb48OFm6RTwNsjhKUujPvnkk8AcFPCWRU5VIgWkQJkVEPCWWVBVJwXqWgEBb10rXvx+TdHCK+AtPi90hRSQAvWngIC3/rTXnaVAWRSoKfBOnTo13H777eGdd94J7733XmjVqlXo0KFD2HPPPcOmm26a2sYPP/wwDBkyJHz00Ufh/fffDzNmzAhLLbVU2GSTTcJhhx2Ws519yimn2HWTJ0+2urbeems7uHbhhRcG6rnlllvs/5deemmYf/75c+735ptvWtt4/29/+1vVgbfLLrss/Pvf/w59+vQJY8eODQ8//HBYfPHFw0477RQOPPDAgOsG5a233goPPfSQ9e2zzz6zdq277rrhkEMOCW3atJmnbx9//HG46667whtvvGHXL7fccmHNNdcMm2++uVkvk+3LN4D5gBcf1+uvvz6suOKK4bjjjgv/+Mc/wksvvWTtXH/99e0+tI3Dhc8995wdfHvxxRftNhtttFE45phjcrT1+pZZZplw7LHHhhtvvNFcRtCVcWRuHHzwwTY2aWXcuHHhwQcfDBMnTgzTpk2zuhn7P/3pT/MctONw5FNPPRW22267sPDCC4ebb745MHd22WWXsNBCC1kd6EahL4zBEUccYfVRZs+ebf7br776avjggw+q9G3Xrp0d7DvggAPCAgssUNVM3GDGjBlj84U/aPX6668H+rzWWmuZHocffnjVWMf9+/bbb8PTTz9t92J+UOjbXnvtFbp27TrPOHLok3EfP358ePfdd+36DTbYIGy77bb2maZw0LIsP0aqRAo0YAUEvA14cNQ0KZBFgZoA7zPPPGO+tQBrWgEeTzjhhNCsWbOqtwHQq666qmDTBg8ebJBC2XjjjVOvBUgAjAEDBtj7wBegFxeA59RTT7WXXnnllTDffPPZv/fff3+DupVXXtnAKS4ADkB2ww03GADmKwD3zjvvXPU2sA8c5itA3LXXXmt1Fyv5gJc+Aq0cHgTAAN1k6dmzp0H2BRdckHqbUaNGGTC7ZtRHwX/bFxXxB4FDFhVxu+fOnRvOOuusAFTmK7jHuIsC11x55ZXhzjvvTNV8ww03rILduD6fB//5z3/CSSedlNpfvx4wvuOOO6rgkgOO+Juj+5QpUwzIk4UFyT333JMD9D/88EM49NBDU7Xg8126dAmXXHJJ1VxCs/79+88zj/xeLPouuuiisMQSSxQbdr0vBaRAA1ZAwNuAB0dNkwJZFHDgxXIFnOYrAE+LFi2q3sY6t+uuu9r/sQaefPLJYZ111glff/21WVUff/xxey8Gw2+++casqBQgB6scoAKQvPDCCwYsFCDr7rvvtn+z1U1dN910k/3//vvvt7+x7AG9NQFe6gEeiYJApIrll1/e4AWQP/HEE+0+WE3/8pe/GCQCN8AOsEzBt7h169b27z//+c8GbWhBnwklxvUjR440azYF8PH+FxqbYsDrn6UuwsT973//M+2Abi8AMVZboO6f//ynQSuFRQh9pDhAx/X169fPrJ4sFtxvunv37uGcc86pqhuLuAP1FltsEY466ii7D5ZXoixwAI2C1XPttde2fzvwxvdiPqHRwIEDzdLvmlMHAI6WiyyySLjiiiusLgp9YhGE1RlrNGPg4P/3v/89bLnllnadA6/fD2su1mUWZ8whon5QsJRjFadgqWUB4JZmokXQP+Y6B+nQhOIwj9UZazZWY3+dhdrMmTPtWtpAacj+8YXmod6TAlLgdwUEvJoNUqCRK5A1LNkf//hHgxkvWHax8AGMANCyyy5b9R4WQECC7XTAhK11tq2xuDkEAKvuOuAfBJodRF5++eWqreN8h9bYIq8p8LK1Dnx7AVYICYZFEOsgVt7YFeGnn34yaAWcXJNZs2ZVuW/Qh3333beqPt5jWxug5nWArVjJArxYDgE8bxvuG7iDUBgTQHvJJZesutWRRx5pW/QAnFvYY+Dt1KlTuO6663Ks8bgr+Jg7vH733Xdhhx12sHpZDNCGeMseCykLCPRhMYMrASUGXhYQWFHjks+Hl3rc2o+LQ9++fXM+x+IDiz0lrjcGXiA+tr7/+uuvNhZY9+k3biKU0aNHVx3cjHcZeO+XX36xxQXzwvuFm8a5555rn0VTtI0LFm36TVHkiWKzXu9LgYatgIC3YY+PWicFiipQXeAFQoAR/GB9Wzy+WQwP/rDHN/LTTz81f0z8dZOF6wYNGmQvu2sB/64t4MWKiI9uXGKASoMYrsWCi9U2jktMSC0sm1g6caPAr9TdAIDerP671J8FePFJZnvdC0DmwAWw43IQFyzTDzzwgLlCoDMlBl4s6Pi1xoU6mR+M89lnn21hw/CDxVpKAeiw6icL1vnLL7/cXn722WdtZyAG3ieffDIHxrkuH/CiHe+xC8C9/vCHP+TcDqssCw/aSLsAe0oMvPFc8g/7gi3eTWC82Z2INYpvhuUXP22s91iZWWyx6IrBPr7+q6++qoqhnFwIFf1i6gIpIAUalAIC3gY1HGqMFChdAQde4MlhIa0WDnWx5U8BXIEMCn6wa6yxxjwf+f77782iSEnCGRADWAIPHB4DaNiWjv0s6wJ46TsgGBcsz3/961/tJd86T3bOD03xOu4CQBguBVg74wKAsjDYaqutwkorrZR5cLIAL1AJrMXFxzLNgooVE6jNB7xpUEjdWGIZG6yoAF7szhBb4eN2cL1bcN0y7MCbL3lJligN+PIyb1g0cT2HGd39gPvjVoJ7BcWBlx0G3zWI25gGtyzcWASkLRjSBg9/aVwy6FPSuuvX+7179epV5bKReSLoQikgBRqMAgLeBjMUaogUqJ4C1Tm0xkl0fBezFnwzeeBTsPyyXZx2iCiury6AF99NXC/iAqDhM5q1xH6q+IZeffXVqYf48JHGJxQ4KlayAK+Ddhrwxnr7+34ILx/w5kvo4VZM3BfoG24PuIEUyroXt99dAxx4Y4tq3PZCwIs7CIsm9wvPp18a8Oaz1nKAEL/m+H3/LsSW4nz3wm0nbZci3/UsfNBCRQpIgcapgIC3cY6bWi0FqhSoDvDGcIJLQ+wDmybtKqusYoe7Yusp12FBJXwTB9DwlyWSgvtEcoiNA0uULC4NaRZKtvDdgpsWpQErJNbQuMT34rPehnxTZr311rOQZl7YYmfbH0sh2/l+gIv3Y//ZQlMwC/Cm+UD7WFYHeLHGp4XPcgsvPq9sy+OT6+BGlIw4Aof3KV4QuauEA2++7f98wItbBSDrB/JwGcF/mXqYNxyKw9UCKMaH+eijj7ZmuIW3FOAllB5+vfvtt59FhShWXG8s+LHfdtrn8KdOc/8odg+9LwWkQMNQQMDbMMZBrZAC1VagOsDLoZ/NNtvM7klkh4MOOmie+wMqbDkvvfTSgTiv+LA6PAEtWAk5hR8X32bmNff9LAS8XOMRB4isEIMnnyPeLmGnKFmBN4uPKge38CnFxYMtc6x9WKxxzwD+Y39dQA7Lrp/kj/uVb9DqA3g5gOguK94uXE9wdYl9eOMIFnGIs7gvcSpofJ3xea0u8ALi7mrDoTX+xJA9ffp0i3dL6d27d9WhwOoAL3OJ8cm3MCEeM7DP4o15j/UbyzjA64fTkmPKuC+22GJ2qDNLSLpqf5H1QSkgBWpVAQFvrcqryqVA7StQHeClVR7LFnglIUDyYR7DK1vhWOU4EU9JhrniNaIfYC32kF+xBTM+DR9bFYENAIiSjLaApRUQ99iyWYE39k9ORqbgPkAgFscJEybYfWknSRPcspiMz8s1saWZviRBPznK9QG8adv4cRxj9xkG6olWQEnzS50zZ469zjiyGKAOLMfFgDeuF39oEnxQ4kgHw4YNmyfhRwzXuNkcf/zx9rnqAC8ROXD9oKTdyxdQ3i/65OHS0qIwsOvgLjOx9bn2v9W6gxSQAuVWQMBbbkVVnxSoYwWqC7zxwxwLF6f4ObyF9ZcsX74lDNwBD0CPRzLA/5PoCG5RxGJKbFMOQXmJLY4xeGFhI7EClmPgFN9YChEXODTG4TBOx+PzCYx6yQq8XB/DOqACDJLFi5BbbOkTXo1CuDGst8C1x3+lv8TbxVeVRBdYeDkEB3hzwI/FQbFSH8BLmwhB5ocRCXNGCDWsu/jvortbronBy+E1CuPMdj5WV3SgDkKi+Xu4B1CKAS8WcrKuUQg9xlwBLJlLZNujsCDC2ks7iPTBe37AkPfjeLfVAV7mIYsxD6lGxJAVVlghYEXGZ/r888+3drjvN4foPPkIY+vjjsUfyy764WpBQZNSDi4WmyN6XwpIgbpVQMBbt3rrblKg7ApUF3hpCIkJ8Hn1gr8kPqtx5rX4UFccrorP4IcJILtVF2uxH2YjqoBbhNOymBEjdrXVVjPgjA8zAdN+f+DTfWhLAd4ff/zR/EG9XbSVvsX/B7A59OQZtIB6Eih4oR2E44oP5+ETjN7FSn0BL+1iDLDWewY6+kmorjjpCBAH9Lm29BXgc7cNh1a3vmcB3jiWsevD2KKXxzHmde7VsWNHs7D7OAPGtAk/cF+MVAd4qT/eTeD/yQx0ycxzyeuZc7TLQZc66Ad9UJECUqDxKiDgbbxjp5ZLAVPAgZcQS56GtxRp8kVd4FQ6B8IARS9sdwNPnnwihkOsYUABFltgwcNg+TUcfmJ72yGHOK/4buIrjMuE++r69VgdyeTGQSRKDLxkGwPO4lP9yT6TgAJ4AtKTqZOxWvLZZExYrNKAenxQjXqBJKyUgFqW8uWXX5qlkQJEe0Y7LODuOpHms+xjiW+pJ2Pw+/l2fRwlIY7Di3Xy0ksvzQE1fFmZE2mWSVxQ0N1j+vp98GFmDJlPccH6jqsCGjAH0gq7BuwUOCx6VjgWGrQvmUqZ9tFX4NfjDjMf8Rn3aBL5okJ4mLa096kPK3a8wKG9jDvW52SaYFxacGWJM91xPbBMqDMyvKlIASnQuBUQ8Dbu8VPrpUDZFGC7n/ioZFQjDW/yAFl8I7a+OfTFZ7CIAShZCsCMxRQrXzJLGxZC99cFNEpJ9FDo3mxPky4ZCOWkPVvchQ4f0UZSKNNO3DhoS0M9rBQDr/tMA+ts1WcdF/qLNkAqi5ty9BX90J0FhUeO4P+8zrwhcgYW5QUXXDDLtKn2Nbgy4JLCnG7Tpk3RvjGvsYyzCOM7gNtNWhSLajdIH5QCUqDeFBDw1pv0urEUkAJSoGYKpAFvzWrUp6WAFJAClamAgLcyx1W9kgJSoAkoIOBtAoOsLkoBKVAWBQS8ZZFRlUgBKSAF6l4BAW/da647SgEp0DgVEPA2znFTq6WAFJACdsiKw2QU0ikXyyonyaSAFJACTVUBAW9THXn1WwpIASkgBaSAFJACTUQBAW8TGWh1UwpIASkgBaSAFJACTVUBAW9THXn1WwpIASkgBaSAFJACTUQBAW8TGWh1UwpIASkgBaSAFJACTVUBAW9THXn1WwpIASkgBaSAFJACTUQBAW8TGWh1UwpIASkgBaSAFJACTVUBAW9THXn1WwpIASkgBaSAFJACTUQBAW8TGWh1UwpIASkgBaSAFJACTVUBAW9THXn1WwpIASkgBaSAFJACTUQBAW8TGWh1UwpIASkgBaSAFJACTVUBAW9THXn1WwpIASkgBaSAFJACTUQBAW8TGWh1UwpIASkgBaSAFJACTVUBAW9THXn1WwpIASkgBaSAFJACTUQBAW8TGWh1UwpIASkgBaSAFJACTVUBAW9THXn1WwpIASkgBaSAFJACTUQBAW8TGWh1UwpIASkgBaSAFJACTVUBAW9THXn1u9YV+Pnnn8PMmTNDy5Yta/1elXiDuXPnhmbNmhXsGtd88803YZlllsm5btasWWH++efPeW3GjBlh0UUXzXntP//5T1hyySWrrv3f//4XFlhggbDwwgtXoqQNvk/ffvttaNGiRVhwwQVz2sp3iT+MVSWXLHO+kvuvvkmB2lRAwFub6qruJqnAJ598Es4777zw1ltvWf+XWmqpMGDAgLDzzjsX1GP8+PHhlFNOCU888URZdPvnP/9pILjhhhvm1Pfyyy+Hc845Jzz22GNluU9cCcDy0EMPhSOOOCK89tpr4eSTTy65P++88074xz/+YZ/bYostwv777x+23HLL1LY+/vjj4f333w/HH3981ft89umnnw633nqrvTZnzpxw5plnhvfeey+sssoq4W9/+5sB7r///e/wl7/8JTz88MNVwPvKK6+EkSNHhoEDB5akzY033hhuuOGG1M+ce+65YbfddpvnPaCcNtK/Qoui2hyvfJ1kobb55puHYcOGhTZt2pSkRXUu/vHHH8MhhxwSJk+eHE444YRw0EEHVVVDGxgPFiuMa3IhU+x+WXUuVk9N399ll13mqWLbbbe17/zo0aPDkCFDwsSJE8MOO+wQ/vSnP4XVVlutprfU56WAFIgUEPBqOkiBMisA7K200koGU4sttlh46qmnwtlnnx0eeOCB0K5du7x3e/XVV8Opp55aMiDmqxCQoi3bb799ziXjxo0zIK8N4H3uuefCFVdcEYYOHRqqA/DAyT777BN69uwZ9t5770Bb//rXv5qGSyyxRE4/pk+fHg4++GCDY6yCX3/9dbjuuuvC8OHDw/rrr18FvBMmTAgXXHBBuO+++8LRRx8devfuHTp37mzQv9FGG4Xdd989p95+/foZfCUXCoWmiVsguYaxbtWqlWlPAdSSFkte//77721sxowZE5Zeeum81dfmeDUU4GVxeOihh4axY8fOY11nzDbeeONw2GGHVeubmlXnalVewoeAeSy4lEmTJtki7Prrr7ffCubgzTffHNZaa61wyy23hNdff71q/pZwC10qBaRAAQUEvJoeUqDMCuy5556hS5cu4bjjjquqGUvkOuusE5ZddtlwwAEHBCyC/BtQ4v833XSTWbf69+8ftttuu/DMM8+EtddeO5x11lmhdevWBgKXXHJJ+OKLLwzETj/99LDqqqsGLGMAJhYiLMlAwx577GEPzWuvvdZe41ra4yUGqHyfd/CkL/fee2/49ddfw7HHHht69Ohh1dCf22+/PeASsOuuu4a33347DB482ED1v//9rwEKwIe1DssWcL3yyivbQ56H+ocffhhOOumkcNttt+VsU3/33XdW91577WWQ+NNPP4WtttrK+rLpppvmjBQafvXVV6YRBWspGq6++uqmn1t433333TBo0CBrL33o1atXWHHFFW18YuuuV/7kk0/aZ+++++5qzQwAnb76+GPxv//++8OoUaPsdd5nDGnLiy++aHCMdfizzz4LV199tVmiGbe+ffsa/OcDXizh9Akr/iOPPBKWX355g/h1113X4B4tjzzySOsDfWGsmR/U2b1793DPPfeY9swPrKgsKrAuYnFs3ry5WXi5Dj24B+PFaxTa/fe//93mY6dOnWyhxnxmUfevf/0rsPBp3759uOqqq3I0xFr94IMPBv5mjnAvvgNHHXVUmDZtmukD+PkCgHGjL+ix7777hj//+c/hrrvuqpqTzC10ZK5gscd6DyxSunbtajsMzMFYZzRmt2Wbbbax62hDt27dTIs77rgj/PDDDzav+A4xT9P6+fnnn9u8A9T5Hh5zzDH2vc03r2MR/LtF2/mO8Bn+8D2isPBl3NLgv1oTUh+SAlLAFBDwaiJIgTIrMGLEiMA2Ng/vHXfc0bbl11tvvTDffPNVARzb5lh2gBAevAALD2wedH/84x/DfvvtZw9crJhADfVgzeRa4I8t5yuvvDJcdNFF9tA98cQTA2B18cUXW11s+wI31AO0xFvmMUDl+zzAsdlmm4WOHTuapfqNN94wKANkvvzyS9uG5564CADiQC7bzWzL0l4srcAw0AY0A8p8noc9Vq0pU6YYcNFfrOD5CvUB0vQpue0P/NA/9KKgCeADWAKyDrzcE/gB5oA33sfiS/8AnWRxi+Czzz5rluNSSxJ4gRqADdB+9NFHzeWDBcrUqVNt6xpwX3PNNW1hcOCBB4addtrJoJ/xpw1YqNMs8ljQ0Rdt0ZjFA7AGMDJH0N8XA0Ae7+Fa4+MKCKLRCy+8YG1DH9qOhZrFBXDL4oFxfv755w2a0Q9faOYU9+Y6FmvM5dNOO83GmP4AobxGX7wAdcwbPgckM0dY0HA97jfALcDJ98bdFgBP7g9MspBjHgLXF154oVnO+QzzE4DFMk/h/3wXAFn6zbxxnfkeHn744QbPDph8r3ChYIwAb6ytjMfWW29t/07rJws35hXvoQlzHhccXHqKzWvmMt9T+pzmK067GTvGUUUKSIHyKSDgLZ+WqkkKVCkAhAItPNSAQcAAMORBjsWyEPBiDV1uueUMZIFWIAkQwo8VwMOncvbs2fYgBxwAAmCFcv755xsc4A5QzKWBB2++z/OgB4wAmE022cRgCSsx7gL0iYe7W0D5G4gFipIuDQCBW6oAYkAzq48yVkC2s/P5wAIkAA3uC3FJAi/v0X6sviwYsHxifcXqitb8H8t0DNRYH7EkYmX3AlDjD0zBAprmpsB7MfB+/PHHZlFlLmABxVKOrkAl/pvu0gD0Y9kDMlkEAbNYVJknn376aUHgxXq50EILmf5ohb7FgNct5oA3oMq40QasvSxicPugLSyIgFb36QU0scQCpujDoULgkj6jL5DGuPliIx4X3mMxyB8KIM99cH/BHSWfvzcLBnygmZP4ai+yyCJmtaWgz0cffWQAiWa0ffHFFzeLKdewY8L3JnYd4Z6FgNfnK64y+fqJJZ1+Mz+x1jOHsLAXO2RJm1nk+UIi+ZOJRiwEsGpzjYoUkALlU0DAWz4tVZMUMKDBKuUHffDZY4uVhzlWJuAnBl4suICPW3hjH17fzgcoATZgli1kLFHUB4hi+U0WrJmAZTHgxRKV7/M80AEzLKxt27Y1axbQDpxgzQLcASUK/QNE0oAX6OB1CtY5QNP/X2i6cA0WO6APyE8Wt4x7+4oBb/w+UAcEYUWj7bg3sIDw/nAtcEXbY1cQLG/APgWrMpCVVmLgBb6xUMeQD/AwdsyFGMQAcLT1rX1cHFhgYPnPZ+GN9Y0PCSaBF9cCIlC4hRcrM1vx6Hz55ZfbuFK4D+DWp08fA17uj0sNBVDECs12PnMnWYA03CJ4P+3QH/MXnYF9is8pLMR8T7IALwsT3FbiwvcBfTlwyK4H/rG8xkKT/vB9ywq8zAEfq8suuyxvP7H800fgHkszC1Isx+ziFCr8NrCrgJvQGmuskXMpoAvwslhILuL00yoFpEDNFRDw1lxD1SAFqhTgYc8WM1YsfDO98ODFKggMAVsOasAMW7WxSwMPUYCSE9tYt4AsrFj4vmJVAoCpH9cE7gUkuz8i9yesFtBSDHixbgIwaZ//wx/+YMALCLHFHAMvljRexwJGwW8ToEoD3jjqRFbgpV/4RAJAWOLyFSy8AA4Hz+KSZuH197G4AtK4PACLABS+phxSc9DBiovlm/516NChqmq0x92BwgE6FgJpJQZerK9s72P9xPJI3SxwgG6A0kEMEGJBBESjO3CK20Ax4I31jYEXizuLIwdPFjBYpB14fVyLAa/DF+MP/GPxR4c777zTrJAUFnnMT3TketxVuF+yYI1nbvu84TMsZpj7tDUL8ALNWKLdwotllbB0WHZZkAHqLCSY/8xt3BuYJzHwsmvCgobvHYVFH7oAyTHwsrOSr598b/mOoAvfIxY1LFZwASpUmHf03xcYfi1uHbyetmOhn1cpIAXKo4CAtzw6qhYpUKUAEMUWMw9RoJfDRfhSnlDCeUkAACAASURBVHHGGeZryHY50MWD+ZprrjErUgy8wDFuCfgnAhP4C7Kly/YpD2q2x7GSAQ98HjDmM8AUdeLiwMOcBzv1AI2xr2Dswwswpn0eK1Q+4AWoaQ/tAjSwJuOPCjzRJoCPBztb8fmAF1BhG53t8rhtWLwBFdoNAHpZYYUVDBjjgh7o6Qfp/L1CwAvcA0D4b6IZ0RqInEFfHODcClfdQ0Mx8NJP3E2w/uEnytjhJsCChz6x+MHCCTjhP4qLAYensLpi8cUSS3vyWXjzAS+LECCKA2JYspkL6Foq8HJ4ECs7gEZ9RJRgt4E+4d4ABAN6aM49cQHIB7xYYOkjfcMNAEhkDrCg812QNHeX2KXB3TZYYDH3aBug6uOKVZYFBe0EXllYMNauMz68aEYBnrm/+wQngdfHLq2ffJeZj0A644MLEXDM9z1tXvvcpH3UG1vA3bWDuuLIIFjgSw3Bpp9hKSAF8isg4NXskAJlVsAPCwF/FLY82Q4GOvDxAwzw56XwMMaSFLs0ADxs2+LHC5Cy9ckD/NJLL7VtWgoPTD6LZYwHOCf7uQ9b7Tzk2Vr1LVKsXNzbSxzXNd/n2WLGYuZxWGMLLxZfQAprHkAORBClAVjBF5OoE7ST+8cWs9jCS+QEgDYZkgstgM9koe/up+zvcXr+l19+MYiLC1oClEk/UiyKXEvbAQmPfAG4YE3FIk7hdU77J61wWacJ90AjLLsUAIgx4bBXMiYz44KvNtCLTyyH1Hwc+Rz6YdFMi5ucjHMc/x+rJ+OOLyv1MZZYJAHEeFyLWXixdONbTAH8PJY01kiAlYKvKZCPmwZQDPC620JSszheMRqhMwuOQjGbY+BlvIF/Fg4U2sd3Af9oxpuDexQOnWHRBhoZD9eZg4AUxobxoO0s4FiMoE8yLGC+fjKX8Jfme0fh0B9WZxaPafPadeC+LHj5PfBCPe7XHOvF4ieZUCXrHNR1UkAKzKuAgFezQgrUkgIc9GELnIdW8jALD27eT1otvSmc9gaO4s9hwQVkiKCAe0RcsLpxmIeHd1zwdcWCWsy3MN/n06TBIoVrgFtWAXi23v0QG7BM/2o7WxltwBWBLeUs0RRw9wDcY1cEFif4SsfJFbC+E1mjkDtFqVMGTRhToCo5F7g/Y0fBwg2Ml0s7Fh64XyTnSyntZw4D3UlrI1rS3lKzn1X3c3GbCWVGPclx5zvFe2mJPGKd8SVmzvMdK1YKtZc6GKt8BxiL1a33pYAUqDsFBLx1p7XuJAUqQgEP24VVFNcNrLJYIJMW2LroLFvEHDrDwlaOQgxZrJVuBS5HnapDCkgBKSAF6l8BAW/9j4FaIAUanQJYRvHJxGrGiXIOLNVHwR+SA2F+AKmmbcCXFGsdyRtUpIAUkAJSoHIUEPBWzliqJ1JACkgBKSAFpIAUkAIpCgh4NS2kgBSQAlJACkgBKSAFKloBAW9FD686JwWkgBSQAlJACkgBKSDg1RyQAlJACkgBKSAFpIAUqGgFBLwVPbzqnBSQAlJACkgBKSAFpICAV3NACkgBKSAFpIAUkAJSoKIVEPBW9PCqc1JACkgBKSAFpIAUkAICXs0BKSAFpIAUkAJSQApIgYpWQMBb0cOrzkkBKSAFpIAUkAJSQAoIeDUHpIAUkAJSQApIASkgBSpaAQFvRQ+vOicFpIAUkAJSQApIASkg4NUckAJSQApIASkgBaSAFKhoBQS8FT286pwUkAJSQApIASkgBaSAgFdzQApIASkgBaSAFJACUqCiFRDwVvTwqnNSQApIASkgBaSAFJACAl7NASkgBaSAFJACUkAKSIGKVkDAW9HDq85JASlQbgX+8Y9/hLlz54Y//elP5a66Udb3448/hgUWWCAsuOCCjbL95W70//73v7DIIouE+eefv9xVN8r6vvvuu9CyZcvQvHnzRtn+cjf6v//9b1hqqaXKXa3qy6CAgDeDSLpECkgBKeAKALz/fvG+sEa7VSRKCGH27FmhebPmoZmAxubDrFm/hvnmmy80aybAQ49ff/01LLAA8N+sIr8vM2fPCe037RY6b9c9U/8EvJlkqpWLcoAXq8XUqVPDwgsvHJZccsmy3/C9994Ln3zySVhxxRXDhhtuGD7//PPw9ttvh2bNmoVddtml7PcrVOGcOXPCu+++G95///2wwgorhK222qro/fni/vOf/7Trtt5667D44osX/Uxjv6DUMWL+vPbaa2bx+eMf/1jv3WecH3/8cWvHFltsUSvzur47WZ25TJtfeOGF8MMPP4R11lknrLKK4C3rOAK860w4Pay5xK9ZP6LrpIAUqFAFvvuleZi09oCwwwH9MvVQwJtJplq5yICXLZgrr7wyPPvss1U3AVgOPfTQsNdee5VtK+Jvf/tbGD16tMHupZdeGkaNGmX3pQCS//73v8NFF11k/x88eHCtbZEBCD179gz0m/KHP/wh3H///TkCP/XUU+Ghhx4Kbdu2DSeddJK9Bxzsvffe9u8bbrghrLbaarUyKDWt9Prrr7eFxE477RT22GOPGlWXHKNilT3zzDPhggsusDnDWNd3mTlzZujWrZs1g7nWoUOHOmtS2hwq982zzOV836sDDjgg/Oc//wlHHHFE2GeffcrdtEZRX3V+cwDedQHeJQW8jWKQ1UgpUIsKALwT1xLw1qLEZau62Zw5c+b27t07fPnll1bp6quvHliB8CCk7L///uGwww4ryw2TwPvFF18YmAFHO++8c5g0aVI49thj7V4jRowwP6jaKK+88ko4/fTT7b4A9kILLWRWrrjcfffd4fbbbzfrLw84SmMB3hNOOCG88847YbfddgvHH398jSRMjlGxygS8vyuUNoeK6Vfq+1nmcr7vlYA3VOs3R8Bb6izV9VKgchUQ8DaesW02ZsyYuVhbKYDSrrvuGrAanXbaabY1TXnwwQfD7NmzQ//+/e3/l112WVhmmWXCzTffHJ5//vmwzTbbGBRjpeU1nNSpgy3/HXbYIfzlL3+xzyWB9/XXXzer22KLLWbv9enTJ3z77bd27XLLLWdO/7Tn0UcfDcsvv7xZhR2GhwwZYq4RF1988TxqT58+PWDlZMuWAxVYcLFUY8V66623wrnnnmuvU1ZaaSVrO33w8sYbb4Szzjor/Pzzz1XXsBA47rjjqiy81Pfcc8+F77//3vp49NFHVwH6I488Eu65554wbdo029rfbLPNTNs0FwjXAOjeaKONAp/F/6tv376m8XXXXRe++uor0+HII480Ta666qrw5JNPWh+Adq7jAA2LBu57xx13mP7ce9lllw09evSw/k+YMCFcffXV5lZCadeuXRgwYEBYddVVQzwWBx10UADWOnXqFNZbb72qMbr22mvts2effXb4+uuvzTcL95d11103nHzyyeYukAa8Y8eODU888URA159++skWEei16aabzjN2hfrGxWeccYbtBHTu3Nn6M3nyZNPtqKOOCiuvvLLVx04F489cYo4A7ZR8Fl6vc4MNNjA3F+pni59+tmrVqmif07Rr06ZNoN/JOcS9StGjpnN5xowZqd+rW2+9NTDOLGxx55kyZUqqloXmTHLw4rnMnHD3H3ZTDjnkELvctd5zzz3tfm+++abNSdya8n1nmePMxzFjxti4YLVnLjHf+F7x/aKUOr/XX399+x6V+pvD4lgW3sbzkFNLpUBtKiDgrU11y1t3s0GDBs1l6xk4ArZ48FB48Pfr95tPyoUXXhh4gB988MH2f4AKUDznnHPs4c0DEzi45ZZbwsiRI0P79u3NGsoDjYIVdZNNNpkHeGM4Gjp0aOqD+ZRTTjHQpAB/1E07gMB81meunzhxovVp7bXXNisyBaDm/0mYrQ7wUh8PYsCSgtsDPquAOA9u7r3ddtuFl156yVwngLvzzz9/ntFzDfINa3wPxgEIBXwBbcbk008/tQc213Hv4cOHhzvvvHMe4OXhzuco2267rUEcnwXCcedgHHFFiAv9ASxjFwUWDPR1jTXWsEs/+OADuxdQA6QngRegAaopwDMF6/N+++1nLjPJUqhvLVq0CG6VTOq//fbbh1NPPdXG3ecL1wDXzBVKPuCN60QPd3VBazTP2ue4LxtvvLF9h5LAi9W9FD1qOpezAG8+Lf/1r38VnDPM8bjEc5n3WCT794PfBhYksdb+WRbUfCfzfWd79epV9dvBZ+Ix4j4siIu1NW1+d+nSxcY2CbzFfnOIRiDgzfeLpdelQNNSQMDbeMa7Wf/+/ecChFhUsaJ4wfLDw4nCtjjAWgx4ebhjwaM+rJuAF68BWFh2khbeJBzl23o98MADrT5gAcuQu1jce++9Zt2MC64Zbk0aNGhQwGp34403mpUaS/KwYcOqoDTNd9frKubSAMQDNUAeYL/lllvaAgCfWSyv9JmDbePHj7dDU/l8WmMNAFYevt4/AA5oRnf6T91Yy9GY8QEQ6K+PGxZ4Dv+luTScd955Zo3HYgn4syD5+9//bt295pprrB4HXu6BNksvvbRZcmPgnTVrlll2OewHND/22GPh448/Ngh5+OGH5wFeXmOhQmEcAW/8orFcAuzJUqxvDkz4UgPHLC7QzceWRQUWXv5/1113mR94MR9erxNdgCvmFRZQXwQCbln6TF9i7YD9pFtMKXqUay4Xc2nIp2WxOeOLHh/DeC4zL3755Zew77772m+A+wm71liAd999d4Nidk/+/Oc/WzX5vrP+28HnrrjiClto+c4R/vSMdXXmN7spaW5UhX5z6Nt3z10VVlq68g+tZnmUzZ075/8NJZV5Cj+LBvE1c+bOCc3NcCQ90OU3PWovYsX8889XtnNGpY4118+cNTcsv3mvsFX333axihUdWiumUO293+ySSy6Zy9ajW0r8VvFDEqgAIBx4eYgDTkkLLzAJPCWLWzerC7zAKtBKG3lIAjh+8C15r5dfftngmoLVGKsgAOTWVazZvE6fagK8fmgN8OVwEu3hHg5XaUOW5pechH4AoGvXrvZxXDio98QTT7RFBC4L/BuXDCxWyXLMMceY+0Ia8AIUWHTTCvWxTZx22CzZPqyzWHgBwLjg2oB1P3k9wMwCJL6ea7mXW3y9HqKEFOtb0u+UbW4gyRcUgBULEF9kZTm0lqwz3t1grvMDVUqfvT9pi6ZS9CjXXC4GvA6jSS2LzRmiXsQlzZ0FmOT+m2++eQCg0/yGs/Tz8ssvzznwyn09Cgj34LtVnfmdT5tCvzn48A4bMdx2uVRCmD1rloUkU5zV32YDejS3sGQCXvSY9eusMN/8tadHz717hk023rhev4o801g8Zym1Bbyjx5R2SHznnXbO0tyKuqbZY489NhefXAp+mDvuuKMFVcdFYdy4cVVWLh7UWD0oWFiwtMTAe+aZZ5p1kS1MrGT4B/KQwnezOsCLJcx9Xtlixgc1LsBlmg8o1kasrhQgGf9Uoi0AqA717naQBXhjy3faoTWglAWDAzi+tsAdf8db9oTrSlrEaGMSEtAPsKU48P71r3+1rVdeB/jdssX7WLBx7cAynAReruezFLZp8cnmIe2WXV7ny4ef76uvvpoJeB2+Gf+BAwcGYAU/6kLAy+FDrNxAO9fTx7QFS2y1y9e3JDCx2GDR4cDriyr8k1nUVAd4YyssEM8BR9qetc9J4I3nEN+jrHqUay7HUBd/r4ppWWzOsAguBLz8jrAA5PvguxNpwJuln8nFMnDrVmHmIYvt6szvfNoU+s0BeEeMGhlat25dUQ+D6naGXR++fwLe3xREj9/i8Ap40YPvP2dPakuP/ffbP2zauXN1p2+df662gPeEE387Y5W1XHHZ5VkvzXsdz1fObMFSWROtcP2LL75ojFTXpdns2bPnYoFzP0cOZHzzzTdV/+ehgr8lxbfrgRvAiQcVBR9egBcoZTufrX58ZQFNtjOzAi/Xdu/+W/Bm/CcRkW16fkix2gJLFB60WGnTvkBYSP0wDm3ET++BBx6wLx0WISx1WYA39j0FMjkgg/U0GZYsCbwsBvAppGDBJHQZD1V8DP31QpBQDHjZInaXB/TmxxXrFsWBl4OD+OUyTgAHoM1kBAwoLAJwLeCgEpqyGPjss88yAa+PAxDHWLG9y9Z7PuAFOp9++mlbSJFdBssZcO4uILEWtKFY34pBGos0/EEpaM98cMtfMR9eDkTh8+vzjPFjMVhqn71PaXOI70dWPco1l/N9r1jAxmHJkosHDmUWmjPJsHyxDy+LLRZR7h/LYcS11lor1cKbpZ8OvHz3+T3BfcEPTfL95l7Vmd/V+c0R8OY+pgS88+oh4P1dEwFv7vyoBODl2cbvoJ+Poofs+nPmpdjOF5/BcMaOYrkWQRw0x8DKc6KQpd3i8OJPycVsk/shEyCTbWd8d71gRcFqygTmwcMffEvxVQUyADpOXP+WWWWBsMQSS9gD1bczi7k0cJ+bbrrJQNnbAVABazzQiBxB4UFNKLV8BcChPR5qjetoAxarRRdd1HxN8SstZOHFOgVAYnWkAENoVAx46TvRDIhfGxcWALFl1d8r1cKLxdZ1pA58mIEK9GJrFzin3/hds5KiuI8mYIy+fpCK99AAGCEpSBaXhg8//NDGwetGF/TOB7wchKTfPp5cB2zTj7TkJsX6Vgx40Z8vE/7NFGDfx7AY8MYHBLEQowd+zKX22cc2bQ7hg16KHuWYy/m+V7goFQJePldozrDoiUsMvK4lfxORg8UiJV8otGL99HkRjxE7QLhJYHkv1tZ887s6vzkC3txfXgHvvHoIeH/XRMCbOz8aO/ByzgbjJ89xP7OCQY/fRc7B+O9xPj6rDeDl9x3mgUGTh6njduRkWgNKAFa2cXmw4LIAgQMNgBGFHzcekljC0grvYzmE8rP6tCTroR3cg/zbABKFjmA9pWC99PbkE5XXgTIPTVXdmL5EQ8Bsj3Uyq8mee9MHD90FNFX3/vn6xyKFP/nGgc9xf8aAtscrKfrEH4ATjatTCPXFGGTpF1qwa8APX7HVH23J0rdibWb+MF5ZMgbGEEayDuZ+Wgi5Uvocty85h0rVo1xzOe17VUxHfz/LnEkeWvMf9lK2uvN9Z+PFMn7eRJ/ge5VWsrS1Jr85Al4Bb6HvjVwactUR8FYW8LoLmrtcpn0XcIllJ87dFtg9xK2RzzjwAs28Bl9hlOMsCQV3B86C8QzHqMpuIW6qGJDuu+8+2yXGaEc4WIyfMJA/wzEA8rwhEhLunsmSA7y8yUMd31O3yPEaDxtovj6LhyLDXSIt9m59tk33btwKKAFDecavNpOOJHeHytPiwrXk+80BeMe+ODZ07NixLprR4O/BA4uFdXUNHA2+gyU2kOgkWJlKWeiVeItGdTlwQpz5cm1fJzu/fZftzYWysZTGbuFFZ2CVOc6zE4su7m2xQZAdeNwYcS+lsKuOoZI/Dryc48HlEhdCzkERGYnzRLhK8jpRuTiA7oeaMcRikCVUJ26ZuEtisOM8l7upYgyhHRhp04xd8wAvjWNA8JHDOoqli4bjnlBfhR9UdxEAeNlGV5EC5VKA5ANYBVkRNtR00eXqa23WgysNcacJBcePVTkLP5IfffSR+YmlHVYt572oq9BvDsCLtYFkLyrBzm3w8GPcVYLF8Wbnq5QdwUrWjV0bwEQLgN9GuRKAl5CkuLfiakphbDnrxW8i8z4L8MY+vJxHAo45Z8W/+YPBgShbXjhrxu+/B0/AbREXTdwmcVss2aWhkr906psUkAJSoBwKCHhzVRTw5uoh4M3VQ8Cbq0clAK/3CHcV/HeJxkXSK4IXkLW2VOAllCqul5y98nCe3AN3Bc5SuXsEi+qk8ZWD5ZwlE/CW4+mmOqSAFJACkQIA79SJL4RNO3eSLljDf50Z5msulwafDL/MnBkWmH/+irVo/jLz17B5tz+Zf2WWIuCtLODl0BouKkmLPf66uCJwkI3oXgQK8KhLaS4NsYUXFwmsux5yFTcYklvxW8uBNHb4seziz5sWsMAzrOL24Oe+0uZmqktDlkncVK/hIBiDHR/2Yrv1888/t4gJpOKtj8KqEV8XJgoJAZIn6JNtYguALWKuIxJHvj4QKuz111+3bQomG1uXaa/VR5/LcU/iIxO/lX55IoNy1NvQ6mB+Msb40REvu1yFFT7+VxSitaQd9iv1XvzAsWW24oorWrzmhlb4EW41/szQrmVu8pWG1k61RwrUhgIf/7BAWP6IEaHDOr+lii9WBLyVBby4rRFAgINkhO7kkCaHz7DMen4EDp3h7kBkK549WGFhk9iHF3eE5Zdf3izDpJ6nTqy8RAMjtwD/pk6yaAK8+PgCzpdccomdnyAUGSEpCTULhBOhCh9eP2+WtiAT8Bb7toZgYakIlQZQsn1HYXUDIBFeyxNwkCKVkGR1XeIIFtyblMTbb799wWYwIZlYHi4trQ+eptcr4nQkTuNkrotfyxIJoTY0wWkdiCOyAivE6pTaPGhVnfbk+wxbPhyGYQVMrOxSCz8YhGWjOKCWWgcnbfkekBqaHxlKWjKWUutNXl8fB9RKaTPAu+6E08OaSwp4S9FN11aGAh98t0BY8JBRAt5qDmdjd2kANAkc4OE+nYcOP/zw0LNnT1OFw2aEgeUcGKzEITPOydx7771Vh9biEJP47+Kji2vCkUceaX7wFIyIgPV2221n5yoAZ55DXtq0aWMgTCHcJxZeCuCbzATK6wLeIpOW1SnO2EStwFTuKwsSdTAYDOCECROqLLwkzKjrQpxToJxJAfjh95IvZJO3LQm8yT6wGiN2Kv0GspiwxKYlfEj8GvBVX4cz0lIol6p9YwFerOvozsKEpB2lFqKvsDjgR8Yz+ZVaR1qqZAFvqSrqeinQuBUQ8NZs/Bo78HrvSRhEuFGis+TjDTiJyAtpEVzYHXSOSoY35bmC5Tgt/Cz3ZacdX97k57D0Asb5giwIeIvMXayZWDopcXg2zPQ4auNPAgjgj4I7A3DICgXhk4UsJJwyBC6xlLJtSwEkiRsHVKYVLMskygBa2HrHKtuvX7/A6ibOQMd28sorrxwGDx48TzWsmFgdkYmMyQe885pbeOM+EDyaP54lC7cHVktk3opf23bbbS12XqH+4A6BZZHtBVZx3IdFAbpl+RzuI7hceEBpgJvtjnvuuSfccccdBoFowpcKQE+moEaIQvdJA96s7dpoo43shCh6sgplAcQ48SXGn4l54IsBrqPNrGBp72abbRYAdsbMtWf8Of3PVhBpawkPyHXJMeYzpAFnLmFxfeWVV2wu8eXv0KGDZbtJlngc2IXw/+fTN/n5N954ww4UeNIS4imzo0GIGE/GgvbMEVbyxEhkIeY/SIX6n7yXW3iJxkIfk3pwPbGasfC/8MILtuvCDyP332effQzqST5CHEesDmSCJLYjGQUZI0+lTqIdvsP0je8rC0XazAEJxgmLASm96TPfAcaYAxmy8Nbsga9PN24FBLw1G7/aAt7RY0aX1LCdd9q5pOsr4WIBb5FRBCR4aHohvhugg5UMKHEQHj16tPkbEliZh667PrCK8XLbbbfZtjQgRAEYqZ8sU0AM/i3JLCHvvvuuwS2FkFkAJ1ZngJUgzBdddFFVKlzqoE1pGd2og7oowAF1AIsOvPE2MlbEJPDigO6h6qgDAODhT8i6Qv0BKshYFhdcQTz7Wz4d0j7ndWBVR+8777yzKPBygjRL+4Ak6sx6fb5pE2/TAJ7AvccIZGyxwuMDxWIjmXI7WSeuIriR5ANegA9nfRYTxEJkHgHbaS4LSbCPs6Il74u+gGFcsgAv18f9x+2BsS7W/+T942x78XuuB68B2vTdF4Ce4pJ526tXr6o06FxHXEeAm4UgWuHKE6d9xg+N8s4779huDrElOSDBGKErn/F00/id8T2QS0MlPP7Uh+ooIOCtjmq/f6a2gLdmrWoanxbwZhhnIDYNIrDA8XDM53OI9QlfEgqnFbFMkgqVByaWKx7OmO4dUHEzAKjjQsYSrFNYgQEcMkyRnhZYxUKIJZE/gHU+312sVR67jtOTPNSTLg3JPuCD45lPgC5gI+21Yv0hNqsDr6chZPsDCCqkg38OgMKKyd/up0v4EeK8ZnFpyNo+B95SrqcPLED8JCr6A7TED0Rz2kuf+ZsFEAscDnaNHz/enPz9nq49Y8y4AJfURcGKjTU1zaXBx91dTXAvwbqaFoQ9H/AW0jf51Sjm0sDiizjZWEKZK7hesHgq1v98wJtPD67H34syaNAgi59MTEjmqQOt3zMf8Hp6cergu8FBB3yTsRxj4ecABdowDhz046AE3zG+82y1LfzCOaHVYrMz/HroEilQWQp8OaN5WK/fqLDGWh0ydUyH1nJlEvBmmja1cpGAN6OskyZNsu1PtoJx2qbwQPTDQLGFl/eAFj/Y4+DD6wAnlri0kuZozQOW+wE3AB7FM4NhSQZKiwEvbWYLnAK0YJ0tF/AW6w/+NACvw533uzqfo7/8eNJn/p0FeEu9T6nX40/UtWtX65anWmQ7HYsjkApwEaolXxkxYoSNRTx/8IticURhGx7LfhrwsgACuuPC9j2LpGQpBLzcm5LUN1lHMeD1tgK+HCxgxwN3oGL9T/phJRdfST3w38LqTRk6dKgFJ49dj+gP7g0sMo499lg7vZu08FIH0BzvwLBrwlxldwEgTitYizk9PGTokLB8nvTqGX9SKuYyvgPNmzUPzZo3q5g+1aQj6DFf8+YhNGuYeqzWdtWq35fq9nOVlbMnfxLw5qos4K3urKv55wS8RTTkwY3vLFZRzySELybuCRTcCvh3DCzAMVZIrLBY/E4//fSqu3BykTBYWO1i1wO+BPihJkNpAM3As6dUpk6smzyojzrqKHuwFwNefnCAGYr7IZcLeIv1B//LNOCtzucYAyyqSeAFBomWkVZKvU+p1zMefgjMgZe24Pvp7fLx4W8WMF4IiYZFPwl48XglgRfQw1JMwYpMHfjNojPzlAIIYx2NSxbgTeqbD3hZMAG/lLRD5YVs3QAAIABJREFUa74j4i4+xfqfvE8xPbgeKzIFyy6+z+wCoBUuDvh7873AJQHrLf7ivjB1CzDAC2hjaWdxgssCY0mbcTVBQwoWdv9O4o7ENez2jBg1ssqlqeY/w427BizeLGiVSeu3cUQP/PprK5VuTWfLmmusEY7s+5tbXV0UAW+uygLeuph16fcQ8BbRHr/am2++2X7M27dvb9YdLKYAJ4dqeC9+QLMlzsPWLUcc7PETilgkOew2cOBAuysParZSp0yZYg9ch5u4SViV2U6lYCkGajydH4dnOGhTDHj5LNYs3AToB/AMdOfz4QVYsro0AFuF+kPM3jTgrc7nkkCG9owPljmsiMBjMhxbqfcp9foswMv2OBBGwV8Uiy2LIvyFeb0Y4HE9fshcjysMh/iAaQ5Y4VtNncwrrJgUFmDuX+5zqRzAG/u9YjXFzYWDgn5ozedvEniL9T/5FSymB987DkByKI2FY5cuXSweI985fIZZJLprin9viTnNWDnwArRPP/20+aDzncYdgsUUbhgsJEmRyfX0kYOD7FTgWsTrHGIT8P4+agLe3Bks4M3VQ8Ar4K0/xM29s4C3yEhgqeOB7dYzv5ytY6y4PBDjBzTWXI9Fl/YgB3DZxubwi5945zoOkl111VWpCSMAGKzKXgA8fAs9zlwW4OVhjcsED3EgACsdB5zSDq0BLPFhPffhTXuNNhXqD0kE0oC3Op9LAi8Azxjwg0qJD8LF2pfavlKuzwK8gBiREbAyxiWf9mkWXvzBCeLt8QnRlGgDHjWDeonagbtLWgKNcgAvESRI8+jxFwFP2lQMeIv1v1TgZQGAWxBRI5gDXoB/LPSLLrqoHUBjvqMl8x2LN6H7HHhZHLDDwvhR+E7x3cQ6z3caqy/6xvVjPcbCzsJDwCvgzffoEPAKeAthhSy89Ye/At6M2nvMOS7nBHs5tu84YMQfHrBx5ra0JvEjysOXMFLAanW2ywAPtsDJYJUWFy+jFHkvK6U/cSXV/ZzXwfY0/cFSV0iXUu9T6vXF9AOuaCvjwMG9pO9qsc/zPv6suNZ4RjMOMWLpxB2mOvVluWfyGnTB4onepcRgLkf/k20BaIF+5nRa//nOkM0nbb7THvRkPLAUpxXClTFmgDKLUuYXOysCXgGvgDfbr4csvLk61Qbw8gwYed2pocUiC2QalOk/zQzdj7p4nmg8mT7ciC8S8DbiwVPTpYAUqHsFBLy5msulYV495MP7uyYC3toH3omTJoafb905c/bH979bICx86Oiw9lpr1/gHFKMAZzkw4sQGEFwvMebh1lmsPPbYY3Z2Ii3RRKHPfvzxx3aWBbezLEXAm0UlXSMFpIAU+H8FAF7cO/DnVQkWDQN3Dz/U29Q1we2I3YZSdj8qWTMBb2UCL+dPODTsOQfoJa5jnIHAPYyQnMQx5//FCm54nFUix0Ep5fbbb7fkQ5znyVIEvFlU0jVSQApIAQFv6hwQ8ObKIuDN1UPAW3nAe9ddd1kEG8J4coAaly/OSHDWiAPTHLIW8OqRKQWkgBRo5Apg4Z06bZqFB6zPQqzXLNuFtd1GAa+At9AcE/BWFvB6KEoi5XgCoLiHuDiwwxEDL+clsAZzWJjzH1iATzvtNHN5oGDhJcISkYA4k0EkKeLJUw9gTdhJDvmzk8QhfermPIUsvLX9667661QBrCX84YBUXR3KqtMONtKbEW6O8Hxs27LCT6bEplscziDcHj9URBThsGUlFIC3xYtnh1UWn1Wv3Zn8U8uwfr/hoX0i5nJdN0rAK+AV8Gb/1tXGobW69OH1pFrkIMBvN1+JgdfzFZBdlgPGhIXk8D+RqRx4eT7gJoZPLhZkXCEIxUqOA54zRCEiCdfFF19suQ3IcSDgzT7vdGUDVYBT84RiGzZsWE4mLE7Sk8Z3m222aaAtbxrNInsamc28eNi6uPf4dxHOz0u+tNelKEYca5I/8ENKGuX6KgDvuhNOz3xApLba+c7/lgxLHTYyrN6+fW3dIlO9Al4Br4A301fFLmrswMsBM8JRAqJEq8IgdeWVV1YJsPXWW1typBh4Dz74YPPvJdU8heQ9hD8lfjrGrKQPL88YIhBdeOGFdj3uEu+++65FzCG75r777msJhQS82eedrmygCpCOd+LEidY6tjyI98ppTL5YfJE8rWwDbX5FNwtrLckm2KLiB43kKcBn8oAOSTH4kWIVziqdBCmFrAFZREtLr5zlc+W+RsCbq6iAV8Ar4M3+K9PYgdcTEJFtE6vs9OnTqzJTkpmW9OtYZ2PgxQ0BY5XHbCdcJO4QWHjXWmuteYAXX2BgGKOXG1iIW7/yyiubsYVnCvUJeLPPO13ZABXgxCUJAyiAlfvqcCp+zJgxlnCA1MKsEDmZiX8Y8EVc2h122MGup/Bl5Hp8gfhSkrGOz7HF/uSTT9rJUlanbKuwjeLpgbEus93CZ/E1YlXqD3Q/CTphwoRw9dVXW3IOCtcMGDDA4C+tkHACPyR8n9q2bVuVcITVLp8B4Nmq2XPPPS3DHT8o1I+PEm1BE9pAyBay+JEmmrbTnueff96yg9E3Ysr279/fmsAKnGQKgCeFsC0kn0Av/o3FlfeTBS2x2D788MPmS8VhBJKs8ANGe9iS8mQX6MoChHvHhf6gM4Vx4Udq8ODBtlVFsgeSuQDOfJ4UwW6x56ADCV7cV4strH79+llylGSd1HvyySdb9rOsGnAvxoIwWlgXirVn7NixNm/YwsMvDWhHTxJvyML7+4gLeAW8At7sD9PGDrzuw8uzKBmBgUNsPHOTwEvSKF4nCyaF31aefw7NSQsv7/F8JfnP/vvvb9BL2DIKz4lOnToJeLNPOV3ZUBXwNLQAHdvi+RJk3HLLLWHkyJGW7pkvIKBIueiiiyz1rme/i/sJ5LFqJHECMAU8A2/ca8iQIaFFixYGmsOHD7ePAYT4pnp2MyCbLFt84SjAHl9K6gHASHOc9GUdN26cZQSjxBnu+D/bQB06dLDsaAQOjwvQyeewdFMn0Ef2LwrQ2atXL/vB4IcD/1gWCWTOY+uIghWSjGO+oubehI3y7H4sDFglJ4ufvuV1UhZzfxYBhJchu1sSeIFVQDIuSTjl1C4hZw488EDTkroAaYdisg6yEOBHD2s+Vv3333/f2sqCgMMO+YCX8cyqgbeRhQOWgULtYWHAIsZ14G+yt/HDzXgIeH8fcQFv7rdIURpy9dChtVw9Gjvw0hvP/gqMYtHFLQGjDUYIDp8lgRdLLkYkUr7jwztw4EAzvvC8wZDCbz/PJA4Cv/TSS+bKwG8tUM0fjCoYpcaPH2/PElwaZOFtqBSndmVWgNSuWACBHqDvhhtusBOaXljlsdoDhrC6AYFY6u688057zV0eHHiBm0MPPdQy1LF1ssQSSxhcAnJsq7DCpGAZ3WWXXewEKIAHRHJK9JVXXglnnnmmXQPw8oXFotiqVSuDP2AbqyXlmmuuCWussUZOXzmJSgBugJh7AfDdunWza5LACwjuvvvugax+nL5ntUwZNGhQ2GCDDQz80MTT45YCvLSNxQGpd7FYbrjhhmblTBZ+vNCRHxvu7wcUuA6IRnO36Kb57np9yXTX7tMLeLPw4EeOHy60ZnyAfupmTCZNmmT3dT9htwKkuTSUogE7BkA87hf82LK4ytce5st1111n3QGMOVUMlLN9h6V8mVfOCqst/mvmeV0bF/5rxhJh9WOGy4e3NsStQZ0CXgFvoelTCcDLTiDuBoCvG1HoM88/DCD8zh577LHm7oaBiEUxRguMBhSehzzX2B2lALz8Fnuqd55PPOcx0rCTiTGJAhfwzOA5yXODnVOex4rDW4MfLH20/hSILbNMZiykbK8DtRQHXr5sQFyy+PteTwx2uEVgCcUimCzHHHOMrS67du1qbzkAs9qMgRcIxKKbVqgbUI6LX+8gjptEPuAFJHFXoGD9dF9lnPSxPgOA/AhQODAAfNOXzTff3P5dyMLLwmG11VYzaGVxgPUaC3lc+CEBVCn0GestD29W2BSs5/jhVgd4gUfGMa0A2VimcV8AeJOFH1WsxIWAtxQNqL9YewBwfMzQxAuaYeVmQTb+8bvKFnUC632b1q1L/tLNmRvCxjv3qvcEB7Lw5g6dgDdXD1l4c/WoBOCNe+SRlPKlcI+vZXfV3cOSP3g8n6dOnWrGKSzGccHQgHEpXwr4rD+eSjyRVSldVycK+OlNbsaqDxBla57VHFsmAC1whzWW1SBb+8QDxGcVf8tCwIvvpfv4Yt3EasqWDG4N3AcLoFsmAVQskU8//bRZIim0DQvpa6+9Zl88t+zyHj9iyy67rFlf4+LX4yuMG4ZbT7kmaeGNgZdDeu4qgGWXrX0s3YArW+pYTN2Zn1U18O8HAag76dLgwOsWZyzUbOsni0Mlq3LcIXAVccDF9YAfpeoALy4j+CNTWMi4TkRdYBzR+dZbb7XXr732WgtBx7YVJQm8LAQYH0p1NOBzxdqDJZ42PP7447aLwAKEdrKA6tixYxgxaqRBeDlKz717hi0TC6Vy1FtXdQh4c5UW8ObqIeDN1aM2gJddy5HXnRJaLLJgpq/99J9mhu5HXWxnWJpSEfA2pdFuBH0FqAA998mlyUAGWyFY2xx4sTryoMURHguZB6YuBLzEjsXvh8LnObw0YsQI+78DL1ZMTppS4i0W/g/wPvfcc+Z/RAFC2eqeMmWKAZFDZSxzDPBJ+QsBL24NgDw/ZMB1ly5dzP8YDVgI4Pwfh/5ia8gPfHGfJPCiC2BP5AQKOgD7yeL9B6oBTkAUkOaHEdcCPzTI50pxaWDlzuFAoJFtKQ7OYe3m0Bmvcz+gHc35PyFocAWhOPAC4fhQA+v4abPowdfXw58V0yAen2Lt4QAgfd9xxx3N2kBf0Y8DgtxHwPv7zBHwCngLPVoEvLUPvI3g0d4gmijgbRDDoEbECrDlgVUToHOfHt7HHxd/Svx3eI8DZgAgsOS+ub61nebSQB2xywQQB8RwD/yNqJfYf9QLbOE/hNUW+HKrKnUAyVg7Y98l2oZjfjK5AgBP0G2iA9Av/HRx06C45dYPrcUWXt4HLjm4Fm/z0z+sxli9sSSdeOKJVYsD/Kb8YBuHAbBQxofWXEuAmc+lHQgEXoBeP1BGOwBMrOpEW+CQ3uGHH27tLwV4uZ62ceo27g+6YrElh/rxxx9v4ecoQCVwS8ESTRuIVoEl3w8R0s4111wzswbJBUmh9mCFwYLvmuHOwOIGH3NcQQS8At58v9qy8OYqI+AV8DYUwhHwNpSRUDtSFcDSBijiH5SMgICFFusqFtB80RzSKsUfiD+EmUoW3B44qIazPVZWttdxpQDAfEveP4M/En+wWLZs2TK1/bQdYMNKDaQCSxx6ohDAOxm/Nq0SHhiAOadb07LNYQXGFSD5noePoU7aDpRzHSBfrNButOUznv6x2Geyvk/dBBCnLdTPATYv9AVNCt2TOUEfOPgQfy5NgyxtytceYJd7saiKfcewngt4BbwC3izfrmAHRPl9ZPdGpXYST0jXbAoIeLPppKuaiALE6CV1YbJ4gOxSZcBS6L6o8WcJ2+KHwUqtM+v1MfCmuVtkrUfX5Sog4M3VQy4NuXrIwpurh4A3V4/a8OHVb3Q2BQS82XTSVU1EAX6csfBiUcXCi4sC/qaxNbEUKaiDSA9s4+MCgUUTa29NT5tmaQOWSY/EgBtDdfuQ5V5N6RqAl/mRFse4OjowJxrz2Ah4BbyF5r2AV8Bbnd/F2viMgLc2VFWdUkAKVKwCAC++2RyuUwlVmQizuMo0Bb1k4ZWFt9A8l4W3/n4FBLz1p73uLAWkQCNUAOD9ccaPVTGT66ML8883vx3UbAhFFl5ZeGXhzf5NFPBm16rcVwp4y62o6pMCUqCiFQB4Z3w6KLRbecl66+c3Py0fdt7/5rBkA4BeAa+AV8Cb/adAwJtdq3JfKeAtt6Kqr94V4GQ9J//xjSxWOImPby0RFIqVUq4t9gAg/ixxZOMIBcXuXynvE/qNbDqlRNaoTt+J+ECSEJJplLMAvOs0PzKs2XpGOastqa6XPts0dNx5RNmyvZV088TFAl4Bb7HfO0Vp+F0hAW9Nfm1q9lkBb83006cbkAJxbF6aRexUYruSPCBfATzPPvtsS+qQTGeY/Ewp1xaShSQaJ5xwgmXxqm3oKzY8hFwjti3xiWujLcQrJoaupywmBBjxjoklvMMOOxRrXo3e9/TMJP8oVkjkQRpostYVKwLeXIUEvAJeAW+xXw0Bb3aFau9KAW/taaua61ABsmJdeOGFlpiCZAtYY0n4QAY20s+SaSytcMCEBA9kaysGfKVc21iA97333rNFAYuFZJzjcgzfcccdZ8khPKUz48I9SWKRL3ZxOe5LHaUAL1EsCs2TuE0CXgFvoTmqQ2u56ihKQ64esvCW6xe+9HoEvKVrpk80QAXIVkZyCKAlLlhS+YEh+QNpdc855xzLzOWhpchkxh/+T2B0HlaXXHJJVVrbtm3bWr1YAMn8FV978MEHhy222MLSDROmCoslGdtIAEFos0GDBgVi4VLI0nX66afbQaNiFl6soKTZJbMY6XcBxlNPPdXS+5Kd7ZFHHrHXqfO0006zJA30jbbttNNOYfjw4XZPUgd7+mDSKtOvjz76yMCejG9odcghh1j6Yuqm/wMGDLCEGAApDyoyzvXs2dNO4mMNJtMYhTBrXEtCC0Jq8X/6S6pf6meBQfY00ifzf6znpGL2e6InyT1I3EG7cD3glH/Xrl0DKYT5TLE+JachkRMY54cffrgqBBzj4hZe7ukpqtGM9Mrcz7PvkbiCP926dQu9evWyMaT96ENfmGNksxPwCngFvNkfAgJeAW/22VK7Vwp4a1df1V4HChBvli1zoHD77bfPuSMpfYGWMWPGhAkTJhjs4uqAXyd/E2M3di9gq33SpEnh0EMPDcAumdYAMdLMJkEVqyDg1KdPH6sLcKMN2223nV0LXAKr+AhjfQYCAcZiwEuqXa4h7BXgCcABrlhGb7vtNrsfWdeATUCVpBikyaVva621lgHq559/bvDn6X/79u1rEInFFcgcOnSopfQdPXq01XPuuedahjO29IFoYBO469ixo8Ex1lJgFh0onmKY+oHE/fbbz7To3bu3Wde5Nwk8Tj75ZHNpIGYt1wG56IYenTp1Mj2wsJOIAzjFBeKggw4KLCaK9Sk5tXysudc222xjY47biAMvoLr66quHpZde2rLd4cbCH4D26KOPtt2BDh06mLbAM0BMv7bddlurh/pIK03a5nazjg5rtKo/H95Xv9gkbNxtpHx46+D3pdRbyMIrC2+hOSMLb6nfqPJdL+Atn5aqqZ4UmDp1qkESljqsnnFxv9shQ4YYpAGFwF6LFi3sshg+Aefu3bvb9rsnFcDS6qCXBrxALtY/ChZEAJS/KdOmTTPLJe0DsAA+6isEvBzo6tGjh1k5cc2ICxCItRkrNQWQu/TSSw3asL7SN6DMD8KxCAAoWQRgycW6DMzGKZXTXBqAP8CQhYCXWIck8L777rvWJqzPWHHjknRp4D0HXuASnfv162dWVcpFF10U3nzzzXD//fdXAW++PiWnGz646O+Z8pIuDSQBmThxov1hbIYNG2b+y0B90qXh6quvDk899VQYOHCg3Ya5gUWbxRNjOvnt60KrFZeppxkfwqyweFhx9f3yponecost6yyZhXx4c6eBgFfAK+Ctt5/GgjcW8DbMcVGrSlDALbxpB6HINIZVEjh0i2EMUDF8si2PZTdOw1sK8LJdP2vWLIM/3A4GDx4c2rRpY/CIxRRLMdbUQsD78ccfB6yxaamAAVisjg7CtBeQxcKLi0MSeEldzPXAJNvzwBvWZqzRWDPdapz04QV4N9hgg3DEEUdkAl60vfnmm81anCyFgBc45R4xKGNBRXPqShuvuE/Je6EP1u999tnH3oqBd/r06baQ+eqrryzTHdDPGPkiKQm8zCXuv+yyy+bchvYyRiNGjQytW7cuYZbW7aUDTvxrnWTzo1cCXgFvodktl4ZcdWThrdvfwvhuAt760153LqMC+FeussoqVdY9rxrgwmoKkBUDXiyjhApjG95dI6oLvEAXrg1+WIv7jx8/vijw8nDgs1gT8ceNC9vrG2+8cZUFeezYsQbXd999t4FcIeClHlwNJk+ebFZg3CQATQAYjVgYAMKUNOC97rrrwltvvWXtp8QuDa+//rpZZu+9916zsMaFunGTOOaYY6pedgsvCwH6GruiYEF99tlnrX2lAi9acy8APgm89BkfYyz9fliOdsTAe95554XNN9/cPsvraMX4JwuuEQLe31UR8Ap4BbzZH2YC3uxalftKAW+5FVV99aIAkISFdd999zWIwgfznnvusW1rYGyTTTYpCrz4uLLljw8vFlC2JoE4/HDz+fDGLg2xhRfLKz7AuAXgbsA2O4e7ill4EY/PUnCNWG211cxvFLcJ9yMFzPAzxWILIONT6v7JsfU6tobSTnx7qQ8XBNoFXOKCQJgwfHjdHQTYTlp4sZZyKI72oxMAP27cOPMRBqRZcOAPjS8u7995550G4FwPEHMvwAggjn146SugfeaZZ9rhQv7eaqutzBWjVOBFB6JycDgQyyz+12+88YZZ92kr7acdbt2ljQ68uENg+cUizqFBDigC4kA0FnJ0RtvOnTuHl156ScAbfcsFvAJeAW/2x56AN7tW5b5SwFtuRVVfvSmQjMNLmC33YaVRxSy8gBqWUuCQg1QcGAPmADJ8ZdN8eHkdUKIAvPiJEteXCAsczMLdgugHQBY+vEBYsUNrRFQA/HBZoPA5gJvDVn6gjdcBaKyW+PXmg0NAjq1+okcA8hT6g6+yuyxQNxZeCuALOCaBl37ga/vBBx/YdRxo454AJr7B+EqzsMBiTOGgGgfXsJLiHsCBtJVWWinccccdBry+COF9wB6gpHDoDt3oW7E+JScah88AVO5FAe5xPwB4Gcf+/fsb7Pt90OOyyy6zvnDNFVdcYeOFNlim6RuH6Pis643P7/PPPy/gFfDm/Z2TD2+uNHJpyNVDwFtviBAEvPWnve5cSwp8/fXXBpkAYqkFYPV4vIAOFkuAyF0TSqmPur744guzxlYnxi0PTnxzk/0gygJWyPjwWZZ2AaN8dvnll5/ncurjXsBroUIWO7LSEXotrfA+WdT8UKBfw+u4EuTTgYN9fI5IDzUpWPanTJliWfbcRSOuDyhmbqRl4WO8gWX09oN/1Mdn8L92beTSkDtCsvDm6iHgFfAW+g0T8NbkF75mnxXw1kw/fbrCFMCv9cknnzRrJBZWHl5YKpdbbrkK66m6U10FAN5J708KW2+9dXWrqPXPKUpDrUuc9wYCXgGvgLf+vn+F7izgbZjjolbVkwK4NOCvykMLyOUQE9vrKlLAFQB4sfwSJ1lFURqSc0DAK+AV8DbMX0YBb8McF7VKCkiBBqqAgDd3YOTSkKuHgFfAK+BtmD/eAt6GOS5qlRSQAg1UAYD30/fuCmutmZtko66aO+PH2aHbAReHpf9Quo96bbRRwCvgLTSvdGgtVx358NbGr1C2OgW82XTSVVJACtSSAkR++OGHHyx0XLFCaDZSEmc5kMhhM7KikUa6nAXg7dDsyLBm6/pJLfze50uFJTqPC2uusWY5u1XtugS8Al4Bb/avj4A3u1blvlLAW25FVZ8UaIAKEAuYLHJeiJZAYgzi8VYngkQ5u5hMW1yo7jiGb7E2JFMLF7qe0GiEcCNxRbEC8K7TvH6Bt2UnAW+xcaqv9+XSkKu8LLy5egh46+ubGRSWrP6k152lQN0p4MBLjFvCkr3//vsWW5j0wiRbqM/SEIA3mVq4kB4C3lx1ZOGVhVcW3uy/oALe7FqV+0pZeMutqOqTAg1QAQfeW265xRJqUEgkQTxdkkBQiMU7ePBgS6xADNs999zTsrP5NcQnJpEDWcjI0EZSDzKukXK4ffv2ltyCxBEUrqFeEngQWxfrqbsWAEjANhnLqJMYt7SJBBiUV155xTKi4ZJAhjmyuBELmVLIwkvkBELIkZaYmMPE2iWuLkklKFhxSfpBcgnaBOh37drVsq2NHj3aEnzwh8xqvXr1ytsOAa+At9BXXBbeXHVk4c3VQ8Bbfw9IAW/9aa87S4E6UyAJvDNmzAj77befhdYiFTOFDHEArSfZAEpJ/dujR49w9NFHG8RyPRnMyEYHuAKHpBQGAgnfRgplYJM6geKDDz7YwrwNHz7cYHqdddYJ55xzjvnWUjegTOzj+eef34CXLHOAKG3bdtttq9Ipk16ZZBCFgHfUqFEGynvssUfYZpttLBUwPr8OvLRx9dVXN//fZ555JjzwwAP2B7Cmf6ST7tChgyUKAZ7ztYNMdHJp+H3qysKb+zUW8Ap4C/2wC3jr7LE3z40EvPWnve4sBepMAQdeLLDAJS4NwB2phLFqYt3dfffdDWixqlKGDh0apk2bZiAKEMbphknD+9FHHwXcEShPPfWUWUpJ70xaZeoFMD0bHADMoTTS+5LquG/fvmY9psQuDVdffbXVNXDgQHsPa+yAAQMMZGlvIeDFirzMMssYdFOSPrxkvps4caL9oV/Dhg0LpAru2LGj1Utq6E033dQ+W6gdwPpXE/8e2rapnygJ38+YG9bZ8lyD92WqkU2w3JNOwCvgLTSnZOHNVUfAW+5foOz1CXiza6UrpUCjVcCBF4ssqXVHjhxpLg38nzJ58uRwxBFHWLINgNgLAHnZZZfNA7zXX399mDBhQhXwjhs3Lpx11llmTX3wwQfDbbfdZvDrhfewfHFIDsspn2/Xrt08wHvKKaeEt99+Oyy77LI5WtO2LbfcsiDwAtJ9+vSpsljHwDt9+nSzXJNYZMMNNzQQf+SRRwzS119//XmAt1A7sIIPGzHcsvHVR8HSjSvIDjvsEHbb9bfxq88i4BXwCnizfwMFvNm1KveVAt5yK6r6pEADVCDp0oAbAWArjcrbAAAgAElEQVQ6aNAgs9x+//33ZnHFcrvuuuvO04OkhfeGG24wMHULbwy8WGjx36V+fGUpuDasueaaAZDcZZddzK0BgKXEFl4AFPj2epMNKWThBWiJsnD88cfbx2Lgxb2Bvg4ZMiS0bNnS3qeuGHjPO+88y6xHKdQOLNcjRo0MrVu3rteRFvDWq/x5by6XhlxpZOHN1UPAW3/fWwFv/WmvO0uBOlMgCbz4qJ566qnhjTfeCLfeemto1aqVWXhnzpxpW/tEcnjvvffM15ZwZqUALz/oRH8AKHEz4BAasHn66adbKLTjjjsuzJo1yw69Adq4IHA/XCfGjx9v7QJesT7zsARWO3fubFv4hYAX39qHHnrI7oOF+Nprr7X+YXV2IMc1wq27d955ZxXw0k4sv1ifce/AXzlfOzhsJ+D9ferKwisLryy82X/KBbzZtSr3lQLeciuq+qRAA1QgLUoDh8sAPCAX+AM+sXJ++OGHVT0AOnF9KAa8QCCH3oh2QOFQGFbeOXPm2P932223KssrEIqll/dwr8CNYqmllqqK0gC03nTTTVWf5TAcvrZt27Y14KXetCQVHD4DlInMQOFwHe4HAC/3wn/43XfftffwZZ40aZK5axABgmuwbuMz3L17d4PyfO0gioWAV8Cb72suC68svIUeAQLe+ntACnjrT3vdWQo0SAUAYSyr+O/G/rylNhbI/PLLLy0qAqHN4gJYTp061fxggd5kwQINwBKybIkllsh8az43ZcoUC0lGaLVkoU7ux/vJQnuBZdqLnywlrR1yachVThbeXD0EvAJeAW/mn+w6vVDAW6dy62ZSQAo0dgUA3rEvjrXoDvVZiKax+Wa/+RzXZxHwCngLzT/58OaqIwtv/f1aCXjrT3vdWQpIgUaoAMCL5ZcQbirB4jGTnhprvEqwaCTsaNRkd6SSdBTwCngbynwW8DaUkVA7pIAUaBQKCHhzh0nAKwuvLLzZf7pk4c2uVbmvFPCWW1HVJwWkQEUrAPBO+fSFsPlmncvez5bLrBbW36BL2eutzQoFvAJeAW/2b5iAN7tW5b5SwFtuRVWfFKhlBR577DHLCJZ28KqWb23Vs2VLpAK2bHfaaad5bsmBNGLgckCMWLEkSVh00UXL3jS2Sl988UWL6+uHzMp+k5QKAd6VZhwT2q34U1lvN3v23PDKf3qHAw6/qaz11nZlAl4Br4A3+7dMwJtdq3JfKeAtt6Kqr0kp4OG+6PT9999fBaEkLgDIiGlb7kJorksuuaQqBXC56y9U3wcffGChv9q0aWOhxAjrFRfi6+65554WIYF4twAx8XUfeOABu76c5Z133rHMbY8//rhBdV0VgHed5keGNVvPKOstZ88O4Z+f9Q17976+rPXWdmUCXgGvgDf7t0zAm12rcl8p4C23oqqvSSngwMuhne23396SKVAqFXjJgPbRRx9ZzNq0gmWXNMJYoQn/hTX4008/DWuvvXbZoVTA2zC+agJeAa+AN/t3UcCbXatyXyngLbeiqq9JKeDAe+yxx4arrroqkO2LrGEx8E6YMMEsobfffnuVNkceeaQlfejUqZMlUsBCSZIEMnytuuqqBs4333xzeOutt0L79u0D9ZMsgYKFF7h+8803LW7sxhtvbEkfOBlO9ID77rvP0voSTxeXggMPPNCsrcOHD7f6SLQAkLZr1y6cdNJJ84wXqYGvu+46s1CTge20006zlL1PPPGEZUyjrVhr99prr7D33ntXff6LL74I9Iv7kkyCzxx00EEGwFhFAWBSDPfp0yc899xz1ldSDBOLd/DgweYmgWUYCzFpjukP2lA++eQT04drBw4cGFZeeeWQBN477rjDkkVwfxYgu+66q1mjcXcgexqw/sILL1iiDdIck0mNjGz59KIexhG3idmzZ4dVVlnFPkMdsvD+Pm0EvAJeAW/2x56AN7tW5b5SwFtuRVVfk1LAgRfAPP744y397RlnnJEDvGQhO/PMMy2blxdgDKgFXMliBvwR5orsYLgrABFkOdtss80MFsk2RgpeB16AkuunTZtmkH3UUUeFPfbYI4wcOTJcffXVlikMcL7++utDy5YtzbWCFML33nuvQePWW29tEEwGtLiQZY320D6u4fqJEycaSE6fPt3gd8kllwz77ruvwTB/vACVQD/9JZMa98XFIXY7ANYp9HvFFVc0l4cbbrjBYBY4pVx66aXhkEMOCT169LC2ALv0lQQU9AGNL7zwwnmAlyxv+BXjbsG4oJenM2ZMAGTqAZYffvhhS3+M9TmfXjfeeGMYNmxYuOCCCwygWQjgO41bh4BXwJvvh05hyXKVUViyXD0EvPWHCALe+tNed64ABRx4AcL333/fAOuWW24xn1X34c0CvBtssEE44ogjTBHcBXAbwCJJAbSwND766KNVwBv78AKzM2bMMAgEFIFQrLoUYJU0vY888oilD3766acDltC07GZcj6WVtMCAHuWbb74xMARgsRZjEcaCfeKJJ6aOHuDPZ++++257P2mFBXiB/2222cbeB5J33313A1ESKVCGDh1qII/vbzKlMf66vE5/SBOc9OEF2Hn966+/tnoAc/4Az1ifY4s09yqk17XXXmvaA85YhP1gHAuQ8MUZYdVWC5R1Bs+dMzd88tMfw277/WbVTpYWLVoYeDe0Igtv7ogIeHP1EPDm6iHgrb9fMAFv/WmvO1eAAjHwYoHs27evpaYlgkJ1gRerLG4QDrzjxo0ztwC3ECcPrd1zzz0G2IAmltm0dLy4VIwYMcKsr1gu8xWAFhh2azLXde/e3aAXiC4H8MawPnnyZAN9LNZxoH7SGtPmJPD6oTms2kBtDLyA/7PPPmv+wlhx+TdW7y5duti4YEnGgh6XQnrh+oDLBW1EE3SnPUOGDAlDhg4Jy6+wQtln8ALzL5AXavv07h3W67he2e9Z0woFvALeQnNIwCvgrelvTLk+L+Atl5Kqp0kqkATet99+26yfuBMAcUDYq6++aq4AhVwaYgsvYEY9WYEXKGPbHx/hAw44IOy8886hd+/e84wH7gDFgBd3gtdee80iTlBwY8Cntn///hb+q9zA+/3335u/Llbtddddd542J4EXP2RcELDwAr8OvDxUgXL0xu2AgkUXH2msuvvss08YMGDAPGHUCunljfnqq69MN/yaDz/8cLNKjxg1MrRu3bpO57yAt07lrvbNZOGVhbfQ5JGFt9pfrRp/UMBbYwlVQVNWIAm8aIH/LK4EgJe7G7ClfvLJJwfAlgNjuBdwAMp9eEsFXvxd8b8FxHBl2G+//Wx7HljGPxUraseOHc2XFesvoJoFeDmgxQE4QHLLLbc09wf8grEic8Cr3MCLXlh4saaiFe4S7733nkH3oYceahZVrOX4O+PmgdUXH2T+jt0lcOngEB11Afzjx483DXBn4HAg2lBoP1ZerN24UOCykE8v+s5BQa7DismBO3ylcfMQ8P7+rZeFVxZeWXizPwUFvNm1KveVAt5yK6r6mpQCDrxsc3NIi+Lb7g68vIZVEuskhegFXIPVl+32pBUzaeEFaoFQDmVR2Fpni33OnDn2/w033NBgEVcGwBEYBOS8cIgL2L3tttsMkKm/UMGSCQRSuA+W0R133LEKGDlsBhCnlSw+vFiRabMXLKjnnXdewP/WCwf2+vXrV3Wgz/tKpAQiNwDfSf9golq4ZZqDdSTAwD8YcP7ss8/Md/jLL7+0Wyy22GLmC8zBvXx6xfWhA9EwiBAB/At4fx99AW/uN0EW3lw95NKQq4eAt/4QQcBbf9rrzk1MAdwDiFoAjNW0EH5s6tSpYaGFFkpN6EAYLXxc8SsmvFephZBcfB5ral0ldeCePBzx33V/Xl8MEN4M7XxRka8/aPzDDz9Yu9MKMMKiAD/ruOTTi3uSMQ7Adh04tCbgFfDmm4MCXgFvod9bAW+pT6PyXS/gLZ+WqkkKSIEyK5C0fpe5+mpVV1/Ae1ifQ1P9nKvViTJ+SBZeWXgLTSdZeGXhLePPTY2qEvDWSD59WApIgdpUgCQPWHw96UZt3itr3QAvFnZCqakE828mXBouNSrBsguyqxJHHWnKugh4BbwNZf4LeBvKSKgdUkAKNAoFBLy5wyTglYVXFt7sP11yaciuVbmvFPCWW1HVJwWkQEUrAPBOnTZtnix1hTrN4bgll1iiInUR8Ap4BbzZv9oC3uxalftKAW+5FVV9UqCRKsChMcJ5ETVhnXXWsQQOxQqREDy+MKmISYFc00JYMuIKEw0ijuZQ03rL9XmAd9EXzwurLjE3U5W/zJobPm29Z9i/398yXd/YLhLwCngFvNm/tQLe7FqV+0oBb7kVVX0VqcAXX3xRlcyBEFWjRo1qEGleCT9GWuO2bdtajNnqFsJ2Ea/WC6HPkvWl3YuICJ6uNy2TWXXaQxplQrABu4Qwa2gF4F13wulhzSV/zdS0n2eHMHaZ3qH7UekpgzNV0oAvEvAKeAW82b+gAt7sWpX7SgFvuRVVfRWpAOl4iTHr5Ywzzgjbbrttvff17rvvtgxrbJkDYtUtHnu3VatWluSBOLVki4tL2r0EvMUVF/AW16iSrtChtdzR1KG1XD0EvPX3bRfw1p/2unMjUoAsXjzIvCStj2PHjg1PPPFEeOONNyz1LABKSC3S5fI3ZbPNNgvPPPOMxZrl32RaW3jhhe09UuWS0GDatGlmOeZ9kju4i8CYMWPs/SlTplg8WJJXkFSBlLy4IlCIPbv66qsHYDxZsOBeeeWVlgGOmLO4C9Cuzp07W71kFSO5A/cm5uygQYMsNbIX+nXWWWfNcy+yyrmFF42ee+65QLrgHXbYwer3GMDF+he31y28JJkAwEnNTBpfEkigC4V4u9dff30gigMWRrKxcX9SCGOBJ70z8XNJBbzVVlsFMshhgSbiA4kmKPnGjIQhjAOJKd566y3rM1r07ds3bLPNNrawkIX39xGThTf32ybgFfAWerQJeOvvwS/grT/tdedGosCECRNC//79rbWkrsXaS/Hsam+++aZlI6Ost9569jdZwEj327NnzyogBMQI3eSASnrgPfbYw+oB3oDN7bbbzrKh8dD0TG3Dhg0L11xzjdULIJO4Aj/bI4880qy7xYAXODzggAPsOsCQZBSTJ0+2+oC6119/3VId1xR4qS/OAIdLBK4RxfqXnAYOvMnX6bdb2T19M5rha/z222/b5X369Am9evUyXQExruvevbstKAYPHmyWa/QsNGZodeCBB9oYsGDhMy+//LLVf9NNN4Xnn39ewBsNjoBXwFvop1wW3lx1BLz19+AX8Naf9rpzI1GAVLb4r6622mpmJQWgKEcddZRZFUnDi0sABVBaf/31zacW0AQu3QIKtLZv3z6ccsopZgl2K7HDGS4SHPzi4Njjjz9u8IgvK1ZLHhpcf/HFF9vrABj3wKpczKVh5MiRBrZ8DtjD6oq18uOPPzbrJ2mLadNrr71mgJrPF7iYSwM6kX6XugHqLbfcMpxzzjlV8Jmvf/mAt127dgb6aIU1nIIlmnLIIYfY31iiN9hgA1uEAMMOtMWAt9CYscDBco5e3LdZs2bhkksusVTFWJnJvrbMK2eF1RbP5sP7y5wQPljxgNDz+EGNZMaX1kwBr4BXwJv9OyPgza5Vua8U8JZbUdVXUQoAObvttptZP9le32STTQxCsZa2adMm3HrrrZaCFwDjWi9YYi+44AKD0uShLrbEsahyDdbPbt265dWM9/3zuDjsuuuuOddm8eF1/1y25bme4lZU/HSBxXIArx9a8wUCgH7++ecX7N+IESPmSX2cPLT2zTffhP3339/azT3Q2902hg4dGlq0aBGeffZZuxeF8WEhAogde+yx5vqRtPAWGjNcHQDitMJiZ6mllgpPPfJAWGnF9PTFyc+RpGK+RVqGhVoslfm7sW7HdcMeu/fIfH19XijgFfAKeLN/AwW82bUq95UC3nIrqvoqSoEYpNI6hnUVNwWsplhl2VrH+gogA3yAWRJ4TzvtNPNLBaD5PBALLPM3FkQvU6dONV9df79r167mm0oB2ABmgJE6YphNthPLJ1DL9j/RJbBcOuAC8ABqKcAb3yvt0BqRFQhV5hbsYv1LtjcJvFi3sXI78PI3VmQK/QLaiVQBDNPHRx991IAXlwQs7r1797Z+Y513CzD65RszXElwMaFgUeYzlF9++cXGlb6NGDXS/Iprq2yy8cbhwF4H1lb1Za1XwCvgFfBm/0oJeLNrVe4rBbzlVlT1VZQCRCzg4BIHqPr162d9A3rw2eVvQIy/n3766bDjjjua9Q/A/Pbbb21LH99fB15Aitc//PBDq4cwYFgu2T4H0ij4AOM6MWnSpPCvf/3LXueQFTBNwV2CA3FAF9v53hbew5KJn+vBBx+cMwZffvlllQtAp06d7HDb8OHD7Rq27LfffvtMwBv7vfq9evToMQ/QJ4G3WP+SE6YY8DIWBx10kB1Koy9dunQJDzzwgC0a3CXjvPPOM19b4B43ko8++si0cuAFaPONGa4qpA3mevTkoNzMmTPt4BuvY90X8P4+agJeAa+AN/tjT8CbXatyXyngLbeiqq9iFMBCiKWQ4gfMvHNELBg3bpxFUQBc8ZEFkChYXgFTYBngcuCND3QBZlhribgAqF177bVmhYwLh7Gol/exTrJV7wVLJv6tuEwcc8wx4YMPPrC3gMGbb755njEgmgF+qH7AjQuARveFBXzxHS7kw8vWfPJel19+eVHgLda/UoGXBcGnn35qUSOAeS+bb765gfuiiy5qhwbPPfdc831Gd/yBWWg48OLikG/MgFws9Sw04vrRHIs9CxEBr4A33w+dojTkKqNDa7l6CHjrDxEEvPWnve5cQQoAu/iaAndYHb3EW/5YFYmSAHThBpEs1MFWO3UsvfTS8/i2/h97ZwJmRXXt+y1qECdUVFAQkEEmQZBBlFHhOhNAZVSv4ohGBDEGRVGCswQhVyVOYPQpKoagTA5BFEUhiKAiomgik4Dmct/TR0gc8u77fou7mzpFnTrV3dV9Tjf/9X39QffZtWvvteuc86t/rb0W6cR4nU1UpA4D5LyRCgwVEoV5r732ivQswEq6LR7NM8Zs7XItS5JzRfWRa365zhv1Ol+mqOakWfMp0ILtANaaNWvajUWUv6PWLNiOFHP4nDVj7fA9MdgCXgGvgDfZO1bAK+BNdqWUfSsBb9n7WGfYjT1QFoUZdmN3FsTUBbyZy6CQhkx/SOHN9IeAV8BbEB/czjkBb6GshMZRKT2AWktaMIxwAV9IolJOdjeZFMCLMkz8clkZmSdQ8SuCCXgFvHHXqYBXwFson2MC3kJZCY1DHpAHKoQHAF7CQ9jAJnOW/o345qgwnd3RP1J4pfDGXfeK4c3fp4KAN3++15nlAXmgAnoA4P379r8XpUpLMoXqB1Yvccx0kv7z2UbAK4VXCm/yd6CAN7mv0m4p4E3bo+pPHpAHKrUHDHjXTnCN6tdINM9t2/+fq9X8F65jl/MSta9ojQS8Al4Bb/J3rYA3ua/SbingTduj6k8eqIQe2L59u6tataplO6BoBqm7GjduvMtMyY1LieLTTjvNXgseV1ZuodQv52VMpITzRu5i8g6T8SJNA3hbVBnqmtTZnqjbb77d223c92HXpefOoiKJDqwgjQS8Al4Bb/I3q4A3ua/SbingTduj6k8eKEAPkD+WCnDeiLns06ePu/zyyy3VVpyRmotCE+S47dGjh+UkPvbYYx0FGsLGOTgXhTHCx6XtFnLxUiWOvLjeyEN87bXXWgEPNgneddddBr1pmoA305sCXgGvgDf5J4yAN7mv0m4p4E3bo+pPHihADwChgAkV4lBEqUJGSWKqoAGvcUb+3E8++cTVrVvXHXjggYmBN3xcmm5h5/eAAQOs9DIFPsjDu3btWjd16lTXtGlTKycs4E3T49n7EvAKeAW8yd9rAt7kvkq7pYA3bY+qP3mgAD0A8GJ33HGH/UsBivPPP9+qjVHR7fnnn3cbNmwweMQo2AAcUyyDVGpUZPvVr37lWrRokQG8ZCsAnP/4xz9aFTeKM1AIAoUXCx6HGktIBGCKKks1Oiq3AdLYl19+aYot/3JOQhSoUnfWWWft4tFJkya51157zc2YMWOXghOMg9CGIPA++eST7g9/+IONEXX7zDPPtHmgbq9fv96q0FF+mPFxA4CfAHbKHFNSmKIfqMdUpKNqnUIadi6JgFfAK+BN/qEv4E3uq7RbCnjT9qj6kwcK0AMALyB5xhlnWKW1BQsWGMDdeeedBn2UKf7ss88MgDGglHCHF154wcAzCI/BkAbKIVP2mPCIrl27GoQSO+uBN3jc1VdfbaBLSWOUWc7Vpk0bg2xAdODAge7www83dRYDfvv37+8uvPDCXTx65ZVXGijffPPNWb0dPDdlmaksd9RRRxnY33PPPXZs9+7dHX0BuoRCUEVu5syZFpYxbdo09+KLL5qPgGR8dsIJJ1gZ54Y/Xe2OqZ0shvdv3+3tvqn+kOv2b5cW4JVR+iEJeAW8At7k7yMBb3Jfpd1SwJu2R9WfPFCAHgDgPvzwQ9ekSRPLIcsmry1bthhsAoYlBd7LLrvMHXrooQaQWDCGl9/DwNu6dWt3xRVXWFsUV4AadXnJkiVuzJgxbsqUKUWKL+BLzHAU8ALYKL9AeTYLhzR8/vnnbtWqVVYqGKgFpjkHKnT16tXd6NGjXa1atYq6A8iBXOaG33ysMzG8K5dOcXWOrJlopX/61/9z+xxyvDv4kPqJ2ocbNTi6gYF2oZqAV8Ar4E3+7hTwJvdV2i0FvGl7VP3JAwXogXBIA0P83e9+Z0os4QglBV5CA4YMGVKUk7Y4wPvyyy+7Rx55xFRUfhgPSqy3OOBFlUWt9fOKcnkQeAlRWLhwoYVvoAzzf6D50ksvdUuXLnW33367qcyEQhDqgdpMWMfYsWNNGa9SpYrBOyo1YRSz5sx2derUKZeVbt+uvRs8aFC5nKskJxHwCngFvMnfOQLe5L5Ku6WAN22Pqj95oAA9EAW8wCUxqvPmzXOPP/64KcDE7GJJQxoIbyA8Yfjw4XZcSYGX+FmyPvgQCvqKA1422wHrtN9vv/0yPA6A8TcPvA0aNDCABXq9Ujp06FDL3gDwYsTrAraEZHAD8Oijj7qjjz7aXkMJR4EGyFGUyT4h4N3pcgGvgFfAm/xDX8Cb3FdptxTwpu1R9ScPFKAHAN5t27ZZCMOPP/5ocawPPPCAxcyi7gKqt956qwEv8awA8OLFi3PG8D799NMWmkA87GGHHeYmT57sVqxYkTWGNxjSEFR4cRlqMapt7969LSsEQE753qiQhq1bt7rBgwe7+vXr25xq165twMrmtObNm2dkaSBrwznnnGOhFOQHXrZsmW1SI6QB4OX/5513ngOMCXm47rrrLC6ZfMMce/zxx1uGC8YBlHNuAa+AN9vbXKWFMz1DRhWyu/CUROacgDd/V4GAN3++15nlgXLzQFQeXtROlFk2pQHBI0aMsA1ZGHlsP/roI4NZ4ltRS9lE1q5dOzds2DDL1oBKSiwwKi+ZGTCg8a9//WsG8PrjCAcIAi+b2wBswhmw5cuXuwcffNDxBQlk8vugQYOylvAlJhdYJR+vN8D3+uuvdy1btswYMwBPrDDm50tu4UsuucTm8+mnn9prhDT06tXL4Dh4DF/Wbdu2tdAHNrMJeAW8At5kH18C3kw/CXiTXTdl0UrAWxZeVZ/yQAX1AOrlvvvuu0uqr7jpsAlu8+bNlpIsWOmsuC4g9RfqMoZKhuo6bty4nBu2fvjhB9uIBsiGwxuCY0Dh/u6779yRRx65y9CI3yVDQ82amRvRfBU31Gs/NjatCXgFvALeZO9wAa+AN9mVUvatBLxl72OdQR6QBxJ4AAWY0AHAmRRpbApDAS60R6EA75rP11gatvKwI4440h3bokV5nKpE51AMb6bbFNKQ6Q8Br4C3RB8sZXCQgLcMnKou5QF5oPgeWL16tcXQotiSSeGkk04qONhlVgAvqjbxxTJnNynkKf7Zz34md/zP04lq1apZ3meZsxAlxfDuvBIU0pC/d4WAN3++15nlAXmgAnpAwJu5aAJeKbxxb2MBrxTeQvmYF/AWykpoHPKAPFAhPADwrvvkade0yY60Zbnsxx/3dmcOuMNVP7B6rqYV8nUBr4BXwJv8rSuFN7mv0m4p4E3bo+pvt/MACsa7775rZXt9Na7K5gSKMxBb26hRo8o2taL5kHHi/ffft9RlcQbwNt9jqGtSJ1lp4Q82NHJHdZvv6tWtVyl9J+AV8Ap4k7+1BbzJfZV2SwFv2h5VfwXhAaplffPNN5FjodoWZWOzGTlq77//fivK4Hfmx03q448/ttytpNlK0r4gHFTMQYRTihXz8ArRPFw0I9ugAd4WVYoHvHW6CngrxEWQwiC1aS3TiQppyPSHgDeFN1kJuxDwltBxOqywPfDVV1/Z5ieMPLCok5SjxUi7FU4/FZwNRQ/IT0sFMjbj5DIBby4PVYzXBbwlWycpvJl+E/AKeOPeSQLekn3OpHGUgDcNL6qPgvYA6isVxW666aaicVJKlvKxc+fONTA+7rjj3OjRoy2XK8UOeLx96KGHWpaAG264wdqMHz/e8rhitKe6GEUZcgEvwE3WAZQOqneRX5aqYtnOT/8LFiywUrYcQzEFxkYJX4yKXx07dnRvvfWWvd6lSxdHEYVJkyY5QJ/sBtdee607+OCDHfllUaoJuSDPbb169cwPvmxucOGoUkahCY4B9BkjRSUI00DhrVq1qu3Ip6IZuWwpwsC84sY7depUKwzx61//uuhUzIt+qJBGmV7G/fbbb1sO3759+5p/2OUeNtaM/ij9S6EM5sC6/P73vy/yy5AhQ8wvf/nLX9zYsWPdokWLss6JTAscS3/MmZsiCmhQshgjjIOKa1wLFMLguqAghxTezJUR8Ap4474ApPBmekfAmz9cEPDmzxTVcsAAACAASURBVPc6czl5IAp4n3vuOffEE084AOmII46wfK8ALuV2Z8yYYb8DaaQWAjQ3btzovvjiC9ekSRODo7vuussKIgBtuYAXWKQqGLBEBbBjjz3W+sp2ftpyDMAJzD777LOOlF3AKOo0Vc+AM8YOtBF+AZjzOwAKYF900UUGjkA1lczuvPNOg1hAmnHzEzZK+TJfyvsS1nHPPfcY1Hfv3t3Gs3btWkvFRYohxo4v7rjjDptbtvGST/dXv/qVlfwFkvEdpYOphnbqqae62267zSqzAdbYfffdZ2OnTdgAU2CZksCdOnUyBZ4xe0DFL9gpp5xia0r/K1euzDqnOXPmGND26dPHcuq+9tprFpZCf+vXr7eywwMGDHDdunWzv/P6rFmzHOWUFdKwc3UEvAJeAW/yLzMBb3Jfpd1SwJu2R9VfwXkgCnhRSRs2bGgqIAbkAFvTp0+3qmFRIQ3EBLOp6euvv3ZvvvmmVfV66KGHEgFv48aNLc7XW9z5gUP69yV3qX42cOBAd+ONN7oePXoY8FJSF9URI16Zv1188cVF0IhSCbASqwzk8n8ANdemOuCVXLhULps5c6bBJf2GY3gBTWAR6EShjRvvOeec404//XQr1ws0TpgwwQGbVDFDmQai/Vw4J36OirFmHBSjALKxcAgCPhgzZswuBSGyzemyyy6zmxx8E+6PEsf4DRUbQ1FG6WfOXAObVk10dWsfkvVa32vvvVy1fXao1Nv+uY/r2e9Bd2iNGgX33khjQAJeAa+AN/k7ScCb3FdptxTwpu1R9VdwHogCXtRTFLxzzz3Xxrtp0yZTFlF4eXQeBl5CHwA71E/gFYgi0T5KcBKFt3Xr1gZ83uLOz2N7FFsPYhzTq1cvg14Pt0HgBdw6d+5cBLzAGgoy42VeQD1hCPQJFAKvKMVhAyQXLlzo2NSHUsz/UT/xUxh416xZY6osaicAGzdeQgBQzYFZjkExHzFihI0JnxBuEkzSD4TSZ9jwAXDcr1+/rMAb9AuN4ubEGqCKR/XHzcVHH33kKCkcNMaLIv3irJciSxT7tu3atnXnnXue/YpvokI0Cu6NUsIBCXgFvALe5G8eAW9yX6XdUsCbtkfVX8F5IAp4eVTdtm1be9yOvfPOOwaGzzzzjENRJQZ29uzZFleKAUU82veP3h9//HG3bNmyEgNv3PmJK0VFfP755+3c27Zts9jWkSNHWuqzsMILhBG36xXeIPD6xdiyZYtbsmSJhQRcfvnlFu4QNK8iA4g+3GHo0KGuffv2kcDrwwHwEWps3Hj5gEcpxqe0xXfEEn/77bc2jokTJ1qYRy4jfAQ49msWpfAGgTfXnDx8c3ODBfsj7hkgR8EPGwA/a85sU5uzWYf27d2ggYNyTalSvC7gFfAKeJO/lQW8yX2VdksBb9oeVX8F54Eo4EXJ5fH6uHHjLN6TR9dsrkCxJM6UR+3E8LI5DUPhrF+/voUl+PjWAw44oMTAG3f+xYsXW2wr5yJWlRAHwHLatGmmOBYHeDm2adOmFjIAmBBKcdVVV1l8cNDYWU7oAfBMHlpgHngEVL3CS2aLUaNGWXwrMcHE8jIPNsTFjZfzAKkrVqywjWbEFXvjfGw8A7TpnwwZwPMll1yyy3VEiAfAjioP+BLbHNxkFvZLrjmx1sRFE6eMXydPnmxjJLyF+bO5Dyg+66yz7NrgeunQoYPdOAh4dy6PgFfAK+BN/rUn4E3uq7RbCnjT9qj6KzgPRAEvX9K33HKLhSNgwCtZGIjrxVAigUwM8CXMgY1qxHLyiLpWrVoWwwsklSSkIdf5ATs2aWE+U0TPnj3td8COeOM2bdrY72GFF1WSkAaUU9RUrxTTD6o2cB+VLzjYlmwVzBXwBz4BfjIf4AfMhx2wEQ2LGy+ve/XUq9T+IkF55qaDEBFvACYhD2HjRoR1ATgZH2tFRgbiiaP8wt/i5kT2BYAWaMYaNGhg4Qp+Exww/NhjjxXNmWuEDYJklBDw7lwdAW/mlaq0ZJn+UJaGTH8IePOHCALe/PleZy4AD/BYndRYAGzY+DvqI6nHMNJ6kfYLRThJft4k04s7P4DH5jGgsjQFLdgcBtyhYubqh/AJUq95kA3PAThkXFGvl2a8HMsXIyAdjOcNnh/YZtOd33j3yCOPONRwn5Ysm7/j5kSWCzYpkvXCh68E++F1fEe8tr8OFNKQ6WkBr4A37rNOwCvgTfJdWB5tBLzl4WWdQx6QB0rtAcINbr31Vgst+f777y3GFvWd+OXyNIB38ZIllmYumzVpcow7ufvJ5TmsvJ1LwCvgFfAmf/tJ4U3uq7RbCnjT9qj6kwfkgTLxAGDF5kLSlhE/TFxy3MaxMhmEc1Z4AuWXjBEyZ7HhPPFABZc5p5CGzKtACq8U3kL5XBDwFspKaBzygDxQITwg4M1cJgGvFF4pvMk/uqTwJvdV2i0FvGl7VP3JA/JApfYAwLv508XuxI67VqsLT5y441r1mrsmrXO3rahOE/AKeAW8yd+9At7kvkq7pYA3bY+qv93GA1TiYrMVFcx8dod8TB6oojoaZXzZfEcRiiS2aNEi26DWokULy4srS+YBgLf2sjGu4YE/5jzgnz85t6r2v7tzrrk7Z9uK2kDAK+AV8CZ/9wp4k/sq7ZYC3rQ9qv7KzAPkhwXuqCxG4YbyMvLu3n33DmChepmPVaQKGV/2gwcPtopd+TD8QfEG4gYxsg34NGR+PNnGP2jQIMtAQFozX20sH3PI5zmz+SZuTADvsStvdk0Oyg28//jJuXcPv9T1GrqjHHJlNAGvgFfAm/ydLeBN7qu0Wwp40/ao+iszD5B/Fitv4P3000/dsGHD7NyzZs0qKhNL6d3t27ebwksO13zY0qVLrXACOXaB8qpVq5piG7Rs4xfwOpfNNwLe5FezgFfAK+BN/n4R8Cb3VdotBbxpe1T9lZkH4oAXpfOFF16wYg3kiqUoBI/2qSrG/zEe+1NIYM2aNZZTl3y6lLtFFaVSGDlvKbZAPlZK3VJVDDUX9dYXJ6DCF3lip06dasegEF500UXulFNOMfU5bgzLly93v/3tbw1K27Vr5+bNm2e726kcNnDgwEi/kUP24YcfdoQfABaMlYpoKLIffvihpeXi7xi5camK1rVr16K+APJs47/gggtM4cVP5KIlzReZD/BZ3bp1rY+VK1c6ShWvXbvWfid044YbbrCKaWELzg//+QIOKND4CKPYBz6jVDLn++CDD6x/cutmmycwT8lnKp0RekFuZFKUUXyCoiIdO3bMOVY/Nq4F5k1/VNF7/fXXd1lbqtCxNlR+o8CHv9GZMWOGXTPcUEjh3bn6Al4Br4A3+deegDe5r9JuKeBN26Pqr8w8EAe8lImljC5GftTVq1cbvAJeVByjStjQoUPtdQAKcAK4CEcA8ih9e8wxx9jrALEPFaAUby5g9CEBucbw5ptvWkneKKNMLkUXwgaQMxfAuFmzZu6jjz6yJoyJ38lLSxwxVlLg9T7xVdSAd8rqBn3WrVs3g95169ZZVTrCJsLFN4Lz4zVuKnyfU6ZMMYj2qnJwntwkMI9s82SNfvOb3xRVVOP8PoSD8wCnucZKOrOw708++WS7aQjfzNx44412I4RRQa5Ro0ZWkpmqcNyYcBMk4BXwZvugU1qyTM8oLVmmPwS8ZYYIOTsW8OZ0kRoUigfigLdXr14GfsT2EvKAAgjEYsRcPvHEE45NZqi3zz33nKm+69evd1u3bnUtW7Y0OGbTF1D38ssvW4lZwArFOGlIQK4x0A/QBXBTtpZ/iQPGhg8f7s4+++wMV2/atKlIGaXscevWrd2jjz5qKjLjf/HFFx2qI8poVOyu7yzX+FGYuRmgH/rzfVPylzK6tWvXNsBmgxulfTHKF/sbBH8eD7zMCx9SHKJ///62Lv6mwAMvNyKULQaKGzdubGuGZZunB15/A8NNCWWBMSqucbMRN1Z86YGX4/BXjRo1rPJcVLjK+eefb/l+WRPUaJRzjBsT5rbHO/e5o2tUzfnW+OFf/+2+PvI0d9qFN1jbgw8+OOcxFa2BFN7MFRPwCnjj3sMC3vx9wgl48+d7nbmYHsgGvMAqj6GxMWPG2CN9vnR49I8R2wrMoU7y+J5QhKB9/PHHBsf0EzTgePbs2YmAF3DNNQbCEzzwvvrqq3YqQhNQQKI2jv35z3+2EABs5syZbv/993fEDd9xx44NUPTB30sLvP7chAwAnAArfQOh+CzKoiqcBYHXzw+YBLhPPPFEB0BHxQ0nmef9999vY2rTpk1RmIG/HjgHsdVxYyUMIux75pXtZoCbCm4uUJABc24E/Lm5gZoxc4arGVGOOspXe+/9M7f3XnvZS9ePvN7VqV27mFd+YTcX8Ap4465QKbyZ3hHw5u/zTMCbP9/rzMX0QJzC6zM4oFSiWBKuAMhhxO0CL++9954jBpf4TQwIIoZ1woQJFiqAenj77bc7AOyee+4xNTgMvCi+KL9YGN5yjQH1OAxdKNI8Uo8CXlTmK6+80s7F+ImbRRlG0fSP8our8MaNHwWcmwMPvDzaf//99y1Uwiu7jIUP7MMOO6woNtovYxh4qUZ21lln2Y0ENwQoq1HAm2SeXuH10AncelWYNUPtjhsra58LeIO+Cd4w+flxo3HCCSfYE4NZc2aXqMqbgLeYb/oK2FwKb+aiCXgFvIXyNhbwFspKaBw5PeCBF9jz0OnBk/hPgI3XeIz+xhtvOB5jExcL4PK42yujPKJv27ate+utt0yVJf4TyAWGCUvgkTXHeuDlkTx/x9q3b2+Pw0eOHOl47B1M6wUsxo2B8xUHeHnc7zeWAZ3EnE6fPt0AEl+gSicB3qTjDwMv4wUmMWCbTV5sbsNXQHc4M0Uwhhf4BzJ9fOwDDzzgmjZtGgm8SebpgZdwC6CT9fQbDPEJ54obK+ErUcCbzTdAP+o6c8U4L2o6m+sEvJlvVSm8mf4Q8Ap4477MpPDm/KovswYC3jJzrTpO2wMeeMP9Ap6EBgCcHlBoA9jyGN1nHEDBe/zxxzNCF66//nrLPDB69GgLLcDY0IaC6IGXv6ESo676TVhAMRuZgsDLF3/cGKIe+ccpvJyXcbChCwD3RngA6uu+++5rMcZsrIqL4U06/jDwchyhAszdb4zjb5wLgOUGIWhB4AUY8RX/Xn311a53797WNFsqtFzz9MDr+6UvbnpYX5T5XGP95JNPIoE3m2/IxAFEc11gXGMXX3yx/V/AK+CN+2wT8Ap4Bbxpf/un05+ANx0/qpcC8cA//vEPUyGBMtJWhY3H7KiOABzAFsw08NVXX9lx1apVi5wNAAfgHnjggQbD2SzXGEriKmCccZMWK9v4cvWbdPxR/Xz77beOH3zK/KMsvGnNKxlAalLLNs9gSAPxw6RbY9NZSccaPi7KN2R/IMMHRlYKrg0B764el8Kb6RMBr4BXwJv0E7982wl4y9ffOps8UGk9EKVgpzXZcAxvWv3G9eNTkRH+Qky3t9IovL+8/npX+0htWiuP9cvXOQS8Al4Bb77effHnFfAW5rpoVPJAhfMAYRdLliyxPLXhFGulnQybCr/44gsLUyGGt6yNDY1z5syx0wC8hLkEgZcnBf/+7/9e1sOoEP1L4c1cJgGvgFfAW5gfXQLewlwXjUoekAcK1AMovALenYsj4BXwxr1VlaUh0zvatJa/D3YBb/58rzPLA/JABfQAwPv1/xSliBv+IYcc7A4/LHNjXwWcbs4hC3gFvALenG+TogYC3uS+SrulgDdtj6o/eaCYHmAz2E8//WRVuJJu8Pr6668t7yyb7rJlr4gbBhvrSN2GnXTSSZEb/LIdT4qv5cuXOzIZkH4sXGK4mNMv0+almWe2gQG8+747zh1d/b9jx/7xvp3coJseL2j/pOF8Aa+AV8Cb/J0k4E3uq7RbCnjT9qj6kwcSeIA4v6eeespiXrds2VJ0BGV2qSoWlwWCxqXdIBYsW0zhjVatWiUYtbNcxlR780ZFsqhsGIk6S7nRhg0bLC0cNmnSJIslLuk844YG8B678mbX5KDMynzhY17d83R39sgd1doqswl4BbwC3uTvcAFvcl+l3VLAm7ZH1Z88kMADFI1YsWKFKboUdEDlpRIb6bEoJpEt9ZfvurTAi/JJHxh5fZNAK6ncyKfLGKmaRjGKFi1amNJbCBZVJrgk88w1FwFvpocEvAJeAW+uT42drwt4k/sq7ZYC3rQ9qv7kgRweIJ8uBSewgQMHuksvvdT+v23bNqsKx+5/QhZuu+0297e//a2oohgFFkaNGmVwGgW833zzjZUA/vDDD4vyDFOauGvXrruMCEihIAR21113WZ/+9+7du7vXXnvNILxHjx72dzZpDRkypKhyGjmMu3XrZiWRKfZB8QvyGKNmNmvWzI0YMcIdddRRLngexkLmA8I3mJs/H+ObP3++nY/wDIqIoNBSLKJdu3YG1zVr1rQbgmw+Qc0Njw8Qp0DGsGHDiuZJlgf8/PDDD7tFixbZ+Mive84559h5uQFhDZg/QM+8KUBRp04dd8kll7iOHTta4QkpvDsvKQGvgFfAm/xrT8Cb3FdptxTwpu1R9ScP5PAAEHXWWWcVVXyjbHCbNm2sdDBqLwa0ogIfc8wx9vuaNWtMWT3vvPMc4BgGXpRMqoERKgEYUwrXV52jUlr9+vUzRvXdd9+5c8891/5GmWBKMPvf+Vuwohnj6NSp0y5ACah27tzZ4Baj1DAwz65sQjKee+45R9ngYL+0AzAZU/jvwQEGzw+MXnXVVbE+IWduFPACzpSa9vNkjNdee62jFLWHc1KeYRw/ePBg53P+hpeRmwJCOAS8mZ4R8Ap4BbzJv/YEvMl9lXZLAW/aHlV/8kACD8ydO9fUWF+q2B/Svn17K4ELKP7444/us88+M2WTUsZ//etfrZwu5YTDwOurggGKN910k9tjjz3cvffea32gTFLSN2hxwEscLLlnAesvv/zSYHfs2LH2fxRdzMfuori+++67Vp4Z1ZQKaH379rV5XXfddQbEHmwJhyBWGOUVKPd/Z5wtW7Y0hRV4QuUFsj14osr+/ve/N2U4zidRIQ3heQLiF110kc1h/PjxrnXr1u7RRx+1+XCT8OKLLxadlzk99NBDFnqCT7Enn3zSvf766+7Qpbe6BgfEx/Au2+dk1/+mqYrhTfB+qExNlIc3czWVlizTHwLe/L3bBbz5873OvJt7gBAEQJWMByiO3ti0BrACfQBe0AC22bNn7wK8hBQAwlHWq1cvUzWTAi+KL0oo4LtgwQJTn++7775I4AWm2Sx25plnGuBiwDUlmAFYQjaCSjL9YmEQ5e+XXXaZW7dunSmyl19+uXv22Wfd1KlTTX3m/x9//HGsT5IALyEit9xyi41h5syZbv/997dNeGzGw1599VXbNMi/ft5bt261eWD45p133nEL5k53Rx5xZJFL69ar69q2OT7Dx9VrHO4atTje1rIymxTezNUV8Ap4497vAt78fRoKePPne515N/UAsa5kaEAtrVGjhnmBkAViVTHAERWRR+0oobfffruFJ1DeNhvwstENhRVDhUStxL7//ntTW2vVqlVs4AVy//SnP8UCr99858vvci6qrAHqhCH07NkzMfDiD1RkD7yEREyZMqUIeK+//vpYnwSBF/hHDQ+DNU5AucZQdonT/cMf/mAgS4gDNyDhMsYoVMB7EHhnzZltcb3eOrRv7wYNzFTRd5fLW8Ar4I271qXwZnpHwJu/T0YBb/58rzPvph74y1/+4oYOHWqzZ2MXP2zQ4osBSGPTFGENQC6bw1BoCWkgxVY24GWTG5vdAE5iTdlcRXlcwg34uwc27/K4kAav8CYBXjabEZKA9enTxzausckLs3y1++6bGvCizMb5hCwS+AojNIRYYVTjIKxSIviCCy4wBZrYaeKmp0+fboAeDqXwCq+AN/6NKuAV8Ap4k3+ZCXiT+yrtlgLetD2q/uSBHB5gYxeqLY/og0bM6A033GDxsJ9//rkbPXq0QTAGqPG4Pxvw0gZFmJy6gLE3VEtAkeISQSsJ8BJLTKgBFsy/+8QTT7hp06YVdc8YiXnlnFGhCzSM+nsuhTeXT+iXzXAotj42+vnnny/KiOFBHj/eeuutGX4iNduNN95ogC6Ft3hvYQGvgFfAm/w9I+BN7qu0Wwp40/ao+pMHEnoAKCOmlA1qhx12WOTmJhRTlMpq1aol7NU5MjbQL2ENHFseMaRsKAO0q1ataqp0WZ4zl0/wKwouuYzjCnhwM8HNxxFHHFEs/6JcK6Rh5+Uo4BXwCngTfzw7AW9yX6XdUsCbtkfVnzwgD1RqDwh4M5dXwCvgFfAm/8gT8Cb3VdotBbxpe1T9yQPyQKX2AMBL5gbSrHkj9ppsErujCXgFvALe5O98AW9yX6XdUsCbtkfVnzwgD1RqDwC8FA9hM6DMWe5kYsWpdidzVvyFEKRCKbmd7zVRlobMFRDw5u+KFPDmz/c6szwgD1RADwC8f9/+910yX/ipEMe8/377V8CZlWzIAl4pvFJ4k793BLzJfZV2SwFv2h5Vf/KAPFCpPWDAu3aCa1R/Rw7lsP3vfzVzvQffv9songJeAa+AN/lHnoA3ua/SbingTdujee6PVFcUMSAPKfldK6vxmIwcs2eccYZlBKBaGSmlmjZtWlmnXOJ5kbHg/fffd6eddlqJ+8h24CuvvGLXmi+gkfYJKKdMRTryCpeVkTeY3MWNGze28s25zgfwtqgy1DWpsz1ySPP/ep47bfDTbp+qVctqyAXVr4BXwCvgTf6WFPAm91XaLQW8aXu0FP35xPq+CxLjDx8+3B1/fGbJ0mynII8ouViPOeYYS8Dfo0ePUowm+6FvvvmmnSdcrrZMTpalU8CeimQA15577umowgXgjxgxItVhUEmM4gX4tKIaxRq4tqialrZRrOGuu+4y6C0L+/3vf+8WLVrkHn/88bLo3vqkwh0V7agMl+R8At7MpRDwCngFvMk/ngS8yX2VdksBb9oeLUV/QAlfHhQfIDE/X/Iffvihmzt3bs7HoxxHpauHHnqozOGML3xK3wIH+bLyAl6A7o477nAnnHBCvqZa6vMKeONdKOAt3SUm4BXwCniTv4cEvMl9lXZLAW/aHi1FfwAvBmBhn376qRs2bJhVj6pfv77tDH/uueesyhVlVFFwzz//fFerVi138cUXW1lXUiNVqVLFyrouW7bM/fa3v7Uk/KjEgwYNcq1atbK+L7zwQjdkyBD31ltvOUrdjh071i1ZssTNmDHDoJuCBVTVOuWUUzJm9OWXX5oiRilWCgxgU6ZMcd9//72VmOXRObu1Tz/9dCufi/oaNsrm1q1b18ZAkQAUVKps8diaal4333yzwT5zREXmETNWu3Zth+JK2EIc8FLIgUpmHI8vmU+2sVGJa8OGDe6Xv/ylnYPiCdxwPPzww47KXK+++qoVcODnrLPOcoMHD95lPvjv7rvvtkpoPBpnPj58gL8zV0IweHR+3nnnubPPPnuXPhYuXOgefPBBa8c88S9jP/roo92TTz5p1cOYD7vhzzzzTFsDQjmi+mec3Iz88Y9/tGNYSwoseIWX6+See+6x0BcquJ1zzjm2Xv66oEIa1wXHcI1xDWYrfBFUeCl4MWnSJPf2229bwYe+ffvafLlp+93vfmc+9f0wX67RRx991OaR7bqOU1wZ/69//Wvrg/XhxnDBggVWbQ6jYhpFJXiPcN1wzeBX1ujSSy8tmnM24MV39EHoDNcUvqKCHIqzQhp2XsICXgGvgDf5F7+AN7mv0m4p4E3bo6XoLwy8QMBTTz3l5syZYxA7e/ZsgyIgEBACIKgmBRjRBrgFFollBYL5Uh8wYIDr1q2bPfp/7bXX3KxZswwwABUMoAUK6tSpY1BIaECDBg0sJpbqWRdccEHGjLZv3+7uv/9+gxjAEGvXrp0BBcDHY2FACUjnWKA2bIwbuAZmVqxYYceioDKPF1980T377LMOEP3222/dzJkzDdYBPUrYAqe8ng148Q1lYz/55BMDViqYAbPZxoYi/tlnn7n/+I//sGH68rncVFCt7OqrrzZgat68ufkpHBcNFPXr18/Wg7mipr700ksGfi1atLDjKYnLjUbLli3t0Tn+ChrAzM1Bly5dTKVnjhzPenJeoJsUR5yb14BV1rl79+6R/W/ZssWOpa+uXbvaurP+AC/AxzXRpEkTGy/znThxovmWa4DrAiDkZgho5ZoA8jhXlAWB97bbbrMYWAASu++++9xFF13kTj31VBsL4TnAOkYbzkffcdd1HPDie0J3vAJ/5ZVX2vn9XDgX1zPQDlwTo0usMSE506dPt5+DDz44a0gDIM31yA0a1x8wzXUKaDf86Wp3TO3oGN6F6/u6sy58RjG8pfgsrMiHKi1Z5uopLVmmPwS8+Xt3C3jz5/tdzgzwApKAEqomStyoUaOKVFbgAfUPAMNWr15tYImyBdABTah6JMEHjPmCRunEAB0A1UMUoDJmzBgDIgwVC2BhDCh8fMFns3BIgw+nIH4WdRFDefzggw8MXMMGTDMvxv3AAw8YdAERQDvHAVpAMIZqSD8oy0AuKingFgW8ABRAThtgBQU619jigBfwyxXSgNqHyohPuMnAAGCgljkCvIAW8cbZjDEApICfXytgza8VfwOaV61aZRDOTUD//v1N1Y/qH4UZpR8wxoIhDYsXL7YbAiBx//13pM4iBheFFwBmvkCujxtnHejLr0d4Dh54Afmf//znlpvWH8s4uY65mQAauUZZF/7GNczao9bHXddPP/10bAwvTwbatm3rBg4caGoyN2udO3c2yOaGixsX1hGFlvcLP5wfkOXGjZuQbAov4+Y9hB+5QfDlklnrlUunuDpH1oxc0p/2OMTVrNvZblKDhh//reeOG83KZFJ4M1dTwJvpDwFvpj8EvPn79BPw5s/3u5wZ2ETtA3YAIBRW1CoUW4y/Ey5QvXr1nKVAtAAAIABJREFUjGN5hIsaGgRev4ENhTNoAEKnTp12ARuAGNDhUTMGwABpPI4PWxh4gVH6BWZQOjGUZEAOdTJsnIu5jB8/3kIpUAIBKn6APOZx8sknG+ShCgLAKKSETRCmkQ14gWBCJFCZeUyP5RpbaYEXoGKN5s2bVzRNgJIvPZRTgLR169bmn2zGuv/www/mB8z7xwMvcMq6NGvWzNaD/6OYouBH9Y9vUWgBbywIvIRGoHyzITJoqMuAchh4OTfXIesUZR54gTnmyE1GMOE+f+f6RHFnLVFsUZwBSa6jXNc1N0Fxm9a44SOMBqV3/vz5Nn5usgBvwmJ4GrBt2zaDWpTvNm3a2I0JN1uEKxx33HFZgZfwFubNNQS80jf+Juxn1pzZplAXxwiJGHHt8OIcUiHaCngzl0nAm+kPAW+mPwS8+ftYE/Dmz/e7nDkY0kDcLdDSsGFDU6L4wiUGl9hQlL2w+cfiXuHly5wvaoAuG6gElTzfBnD2MZd8QXuVMNgHqhvQSWwpxgcacMXjaR/zC6wBZownyoBalDfilFHbUNM2btxoIQ5AGVCP2su8AGnmj9KLSp0NeFHuOnToYLANZAHJucZGbCnzJcwCC4Y0eIV33Lhx7sQTT4ycB+DGOL2SSCOUUhRB1jMJ8BK6ghrq1fAg8NasWdPUy+DGOXxHVoRswAvckVUCwAwD7xtvvGFrCkhGqfglBV7Oh8IK5HOzFGVcvzxRYP1QX/1NSdx1nStrAmtHyAo3A6jUgDv9ArbAN68B2NxcAaqEAGHMMxfw+jkAyoTgcK0Q185TBwHvzhUW8Ap4475GBbwC3kLBLAFvoayEcwZImN+0xuNXYlJR7FBbUeYASECVR7HEcxKHiDIaBl6UUAAU+CHMgA8dvvgBQh6xh8GGuEba8CgYuGQswAFqZdjomxhSFDo2pREH6WM+CZPgDpZ/ebTsN4OF+0AVnTZtmm3gAsx8iAKQ8swzz1hzwjLYAAUMo4ACHHEhDT4tGQDKfGjPI24emaMSR40N9ZM5ArzMBVWQx/4eYFE9gSfgEtBhrkFjrgAp/qTt0qVLDa6CMba5FN7169db/8Ra83iedcIf3DQwJwAO9ZSbHXzP+hPSkA14uSHhpoExoPBPnjzZbiQATdaYGF7A0AMxY0bFpf+SAi8AzhhZJ65fQB1VF/X1kksuMZfhU25eMG5y2GiGxV3XuYDX3xzQj7/ZY5MdN1Jcw/jUh3HgT6/uEhufC3i5oSPkghANoI4bGZ4ebN26VcAbeBMIeAW8At7kICGFN7mv0m4p4E3bo6XoLwy8dOXVqWuuucaKLKBcoip6A4imTp1qm3XYtINS6GMzgR4e+fKYHyO2F7WYjA+ADY/QgTmMGF5iUX1bQBEQJGY4bMAR4wGyMRRVVDDAG6DCAAViQzlnlHnA9YogGSiIAUUh9vGuPFJm0xFqN4bazTmjFF7AGl8AccyBsbAZDd/wSDvb2AAmYo+JIcZQhckx7FVmzsUYacdj86jcw8A1kO195yGe/pIovLRD3QUCudngRgF4A8KZMxDu1V9UZ8aCrwDJqP7xFzc6bB7EWEuuD5+lAfhlbfxacU78xzURvi6AV+Jfie+OMtozd2KWuQZQwwlF8cbNls+NzKNe4B0I9dc67YDkbNc10MlNT1weXgAXIyYYY9MgN0segFmXkSNHWgy0vzYBYv8UgOOJm0c5D54v6Hd8xM0IMfHcqEnh3Xk1CHgz3xkKacj0hxTeTH8IeCO/SsrljwLecnFzuicBQNi8xGP/bOmi/BkBSQAoKvY3PCraol4RM+zjhuNGTvgD/QbH8PXXX7uqVatauEJaxuY9lNUkY4o7Z9zY/Lyj/AkwAY/s8Pcbl8LnoQ2ATptcaxI1RtbUp3Dz6jw3Er4voJ3czOHY22zzZS03b95sKclQt6OM9QOe4+ZVkjUkewJfcsTvBuN5c/VVnOs6V19Rr/M+AFzxSVLj5o7jUMr9+vBkQ8Ar4M12DQl4Bbxxny8C3qSfvum3E/Cm71P1KA8U2wOEE6C8cwOB+ogSyuNzWeF5AOBd8/maogwnSUfIDWqH9h2SNq8w7aTwZi6VgFfAK+AtzI8vAW9hrotGtZt5gEwExGSjiLIBK9vGr93MLQU5XYAXBZ1MEDJn8c1sgORmTeYsQwtPZorzdKMy+00hDZmrK4U3f1e7gDd/vteZ5QF5oAJ6QMCbuWgCXim8cW9jAa+At1A+5gW8hbISGoc8IA9UCA8AvOs/+V+uyTH1dxnv37f/6P7tnDvdkUdk5jmuEBMr4SAFvAJeAW/yN48U3uS+SrulgDdtj6o/eaCAPEA2DDJQkDYsXBY5OEyyOJDHuGPHjrbhjKwdZAWJ2qRHpgw2clFmt7Tmz+VLDpe2v/I4HuBtvsdQ16TOrqWF/7KpmqvS4nXX8rjovM3lMb7yPoeAV8Ar4E3+rhPwJvdV2i0FvGl7VP0VhAdI8RUsuuHTSpGb1ud/LYiBlmAQxPqSXo48sj5zQFQ3vtoeRSFIqdajR4+sZwvmuw2XbQ4fRKo3CjH4nLrFmQLp4chXzJgwUsCReo70e9kyYBSn//JoC/C2qJIdePdoLuAtj3Uo1HMohjdzZRTSkOkPAW/+3rkC3vz5XmcuQw8AvAAZuVRJGbZu3TrLETt48GArRFGRzZfppZxxVLU05obqRvlhoN/DZdycywt4ydsbrBon4K3IV+KOsUvhzVxDAa+AN+5dLeDN32eegDd/vteZy9ADHniBQm+k+uKHsrZ86FBEgsf4GAU2UB8pmIFR7Y1StHyZk7eVkrIUxaDa2qRJk6wYAvlt+/btayV12ZVNwQP+TuEPqntRqW7UqFEWHvDKK69YEQ7UTaAPI78wZX4JOaCMM2OjPC5GMQfUW0odE0Jw3HHHWbGPunXrWolpQgrIc4tyTbllqrkFjfLT9O/boMpSqALYPProo60pxRkYEzcAxQXeV1991YpiUEmNuVO4goIZcX5FkeY4FHZ+KEpBNgoUXm5E8B9G5Tp+MP5G+WAKgrz88st2Ts7FzczcuXOtaAW+GT16dFHuZwqzUGUPZYl15TUP/VRLI2zjrbfestepOEcRD9YUf5100kl2XZD3mXzCjJn1I0cwa0T1QjJqSOHdebUJeAW8cR/lUngzvSPgLcMv/hxdC3jz53uduQw9APACPQAOxQNWrlzpNm7caGVsKYpB0QWq0lE2FpWUUseECjz77LNWhhf4BcSoUrZ8+XLrA1Cm4hjxrlQyw6hWBzD27t3bqrpxPNDaqVMnq8hFeWhgDTCmoASP7gE1+qPEb5MmTWyMgC0V3RhHnTp1rIIaoMs5gTXKK1MVD9gDxKnCRmU8Uh/xerjQx5w5c6w0MSEcFOwAiAFM+iHtGQa8AXbMtbjAyzypKEe/VIHDd7Nnz471KxXYmNf555/vmjdv7o444ggDZPzMjQY3DqwRY/Glnb1PKbgBnFIamCIc+Ily1vSBLwB7Kq35cxATTHvGyRpQOQ8/cLPBDQzHklqM0BBuGvidmwluNFhPxgJUcx3deeeddo0A0sQtc4Mi4BXwZvv4ksKb6RkBr4C3DL/qi9W1gLdY7lLjiuIBH8OL+gfYAEmAarA8MGrtBx984L788ktH3Op7771n5XdR9ABbyt+i+PmwAdqjBpJ/FVDGgGZUYkAyHNuKEgiU+pK+fPD369fPQIoyvJRuRnH1paAp9wssA8DhksEAGxAIXCYJaQCWKZXry+uihKYJvMEYXqr+odASPoIKms2v+CtJSAOwCtijqOPTN954w0r+AqYY/kHpHTt2rP2Of7nxmD59urWj1DPrj1FBD7WYeGZimDn/vffeW7R+wDd/QxH3NzBU1UN5Z02BXP7PjYmPMSaGd9Oqia5u7V0rtv3f7f9yR7a4xtWsVXeXt8qxLY4tURW+Qn/PSeHNXCEBr4A37j0rhTd/n2gC3vz5XmcuQw9EhTQsXbrUFE/CFVB4hw8fbmEJKLDff/+9KbDAE+V2gaKFCxfaCHnsft1119lj7SuuuMIdfvjhGUnlURcnTJiwC/D6EsEeeHlEDnCjRALYqM3hUsGokoQ9hIGXx/m0Z16FBrz4iEpx+LNx48ZZ/ZoUeAntuPTSSw3QozbIAcS8fu6559r6UNIZVRa/0h4wBlK94XOg18NtEHjxNaEYHngJ8/jiiy8sxIF+gWpuiOgTMGZdUNhfnPVS1jLP2QoOjLrhV6ZQVzYT8Ap4465pKbyZ3hHw5u8TUMCbP9/rzGXogSjgJe6V+FceWwOhqKCorcAMSi+xsB5OGRpQTPwooRE+fpNH3YQeRFVCC8NZHPBu3rzZoIzQg6iNZ3HAyyN64kwJIQDYoyys8ALxgCIxqajeWGlCGoIKrwdO1GoU0Ti/Ao1sHjzxxB1pu6I2reUCXkJB2rZta6EY2DvvvGNgyo0M4RDEFaOEYyj7hJOMHDnS0qyFFV5uYFDxo4DX+xU1nvlyHRDLjYI9a85sCz0pjgl4i+OtittWCm/m2gl4BbyF8m4W8BbKSmgcqXrAAy9AizLLY2riPlHvCA3g/2ww47E1j/uBGR/SwCNxPqRPPfVUg2FCG9iARggCgER74K5mzZqmtgJYbAgrDvCi9AFuKLoooxgKNLG9qKVxwOtDKwiX8PAaTrUWBl76B+oAdVRNxowq3b179xLF8HJjgM8AaTJBMHbCLvBBNr8yBs5NLDIKLfMg9jecliwX8KLkEgsNOBPDe/vtt9t6Pf3007ZZkHAUFHniqAlx4MaAeOrDDjusWMDLscQWE76CikkoxVVXXWVhEgLenW9XKbyZH10CXgFv3JeZFN5Uv+qL1ZmAt1juUuOK4oGoPLyNGjUyuGSTF6okoIXqixETCiT6GF5gknRmGBvXgF12/KP2AVpsjvLGo/cRI0YYRKMEEnqAhRVeH0cLsAFSbI4jbhdYw4BrYlf9o3M2hAHYGFke2JzlY1MBdUAOY6yolEEjXvnKK6+0GGMfIzx//nzbpAWkkp2hatWqppRyTuAOUCUON1ceXub53HPPFfmHceMTNnTF+ZXx4V8UcsZAqAHAHQW8gDGKdNin9AFgcRPCODHmMn78eFtDDBAndtn7FOW+Z8+e9ju+Jd4X6MbCCi/wzk0RY8QXXin2eZyBa+BZwLvzahPwZn4qCngz/SGFN9MfAt5Mf5TnbwLe8vS2zlVwHiAVFZkK2MEfNDa6oeTx9/BrtCMelw9y4nezxWwmnSyhEwBgjRo1ilV8AYUUiK5evXrSU5mCDOSnEUu6fft264sbgXABjGx+ZaDcSKC4F3e+4UniN3wQNRfWh810xEjHFefI5TjvL9Rh3w+b1gS8At5s146AV8Ab97ki4M31qVt2rwt4y8636lkekAcqoQcA3sVLlthmx+JY/379LCVaZTMpvFJ4465pKbxSeAvlM0/AWygroXHIA/JAhfAAwMsTANLTyVRpLXwNSOGVwiuFtzA/GQW8hbkuGpU8IA8UqAcEvJkLI4VXCq8U3uQfVgppSO6rtFsKeNP2qPqTB+SBSu0BgHfL+rddxxM6FM3zX/9dxXXsMjhrmrjK7BABr4BXwJv8HS7gTe6rtFsKeNP2aCXsj81bVJlKEn9IeirakRGhshmbrdgMFbWJraLOlc1ypG3Lls+3UOZVSNcVwHvk9mtcwyP+UeSeT7fUdc1Of93Vq1uvUFxWbuMQ8Ap4BbzJ324C3uS+SrulgDdtj1ai/ubNm+eoPAUUYUARab18iify1VI4gCII3sL5YwvFHeR7JSUXhRdKumvflxymhC2ZHSqDkd6Mwg0+/VahzqmQriuAt0WVoa5Jne1F7vpgQwNXp+sCAW+hXkDlOC7F8GY6W5vWMv0h4C3HN2PoVALe/Pm+oM/8xhtvWI5YyrFSwhV1k9yrFBeg6AI5V/nif/311626VaEDb5JyvLkWhC+ydevWuWbNmpUYmnOdo7xf//rrrx3zKnRFXsBb3ldG8vNJ4ZXCK4U3+ftFwJvcV2m3FPCm7dFK0h8leEnkD9wGjQpWvGGpZvWLX/zC1N/DDz/cmkyZMsVKuFLogJKuFHKgEtg111zj6tata23Iz0pJ3TVr1li5XqpqnX766fYalayGDBni3nrrLTuWcrG+mIAfA7vjAW+qpRFe0KNHD4NyctFS/IGCAkOHDrXmlLmloAKqLio0OWPJm0sRAYoRNGnSxE2aNMkKLqBeU4KW0sHVqlVzL730kpUVJvXUyy+/bOMA/ClAAejTB2OkTDEQfNBBB1kVMaqkYfydOaNuUMGNfs8+++wMXzIXbiD4oR1Vw1DQmQNjp4ACfyfP7ejRo61gBpXMOB/FJrzRDuiggAR5abPNKWpMjGH58uW2nhTTYH5UmGP+2MCBA+0HA4zvvfdemw9Wv35984sv8Ru+9HP5B6V97dq1kddJuC+AN+66yuYvrk8qzHEdH3300dYtTy0oVnHRRRe59evX25woNsF4qERH25/97GdWPe63v/2tXTdUW+M9wfUghTdzdQS8mf6QwpvpDym8mf4Q8OYPkgS8+fN9wZ4ZSKDK1U033eROOeWUjHHOmTPHIICKX1SjAgqBR6xdu3YGt4DOBRdcYIDGI3MADhijX8rpAprALbBDH1TTqlOnjlXBwjgn8Ad4UTggaFQXA1gAWACG6mOU/QVSAGUqYQHKvAY8Uwq2T58+bsaMGdYWUKRQBGPj3FQkA9wxKnABQb179zawfPbZZ+38lP+luAGAB/BT9Yy59OvXz87DXP785z8bJAKbLVq0sNLAACSA1LJlSwMp/BM02jMXoJ8yuIQWMJcOHTrY8awB52Ycq1evNjD+7LPPDDABecYG9DNeqpXhL8A125yixkS1skWLFllVMcJT6IcqcAD6xo0bTb3n5gKgv/HGG92nn35qZZTxxeTJkw0MWeOwMa5c/sl2nUS9MRh7tvb4OZu/WGsq4TFGlHmM65qQFPxINTpAl+uJQhZUpqOKG4UxKH/M9dqtWzdbc8oZz5o1y0oYK6Rh5yoJeAW8cV9mAl4Bb6HAjoC3UFaigMbBY26AFWUUhTZoPo4VgATYcoU0AGkAEzGiixcvNgUROPXlbgmbQOEFGgHeMWPGuK5du2b1BkCK4omqiwGCjz32mJs7d66BLMAJmAA0gDXnw8IhDSihP//5zy2XKuodBux88803BkcAL2EdgCVqLhYsuctcgGfUPl/pC8ADakeNGmUA1rhxYwPkbMacmQuKd9CYA/HRvowwmwZRWQFOFG2vilMWl7lOmDDBcSNCVbC4OUWNCaANAy99skkRA7q5WaF0MaWAuTngBgKjDC8AHgW89JnLP8HSycHrJBvwZmsf5y9uGOKAl+uJpwMo6MGKbdyIoBpzA4Vxg8ONHTd777//vnNf3eKOrr130VA3/u+DXKt/e8odUesI+9seVaq4g4pRAa+A3v7FHoqAN9NlUngz/SHgzfSHFN5if8SkdoCANzVXVp6OvMLrASs4MxRWAOdPf/pTohhewgEeeeQRgzeghv+HVVughHAAgJfHyx5AozwKgKEqhsvpAn2EK3joYw6ocYQnRAHvl19+6QBGwjGCpYHpg74A3iVLlrhHH320aBhB4P3jH/9oyjQb+7wB13zZoRwniTkl/IF5A8pBQ3kEsoMgDGwCvYA+kM0NB4AOgKJWE86Ra05RY8oFvMA1SidKNcou69egQYOcwMtNTnH8E7xOkgBvsH2cv/BtHPAStgDUokgT1oJ//c0FijclhYPGNYOCPmPmDFezVq2il6rssYfbZ58d1xqGIn7bmB03W5XdBLyZKyzgzfSHgDfTHwLe/H0iCnjz5/uCPjPxisTYhtVHHv1u377dHoHzaBfwRQX1FoaqIJigmNIfauTee+9Ux/yxSYCXcQGKxGVGGWBNTCuG2unDFVCCGTvADtjw+JrH9sAp4QZhywW8CxcutDhd/7if41FsUZV5JJ4EeHlcDkjefPPNGacntAIV0WdOIB6a+GLio8844wyLoe7fv7/Nh5sP1oK1yjWn0gAv5+UH9dqHucQpvKijxfFPaYA3zl9kFOEmKfi0IhjSgOPZkMnNAso2NzLc5HBDwd+YY9i44Zg1Z7aF4WQzAW9Bf7yV6eAEvALeuAtMwFumb7/YzgW8+fN9QZ8ZoCP0ALBCJWNz07Rp00ypBWR4dL9s2TKDNQCAOEjCCIjhDT56DoIMd/pAHooum7MwFDZUWSA2CfCiMAIlKMHExpJujDRhqHzElw4bNsziWDEeqfPD43gfwsDvPkyDcIMffvjB5lmzZk0LewA0UTJzAe93331nSiBjRqVlHuPHjzd/dO/ePRHw8tgchZhH5Z07d7Y4YG4mCPdgDoyP2F5uKAB1/O8VR+a7YsUKiyEOqtAokNnmVBrgRSXlsT8+RgXlS53YYgA/KqSBD/Xi+Kc0wOvDbLL5i5sjbmpYJ9YXBZ81wodcR9z4oFqvWrXKfE7YAusAGHPDxNy5dgFi4qtR/gW8Oz++pPBmfpQLeAW8At7CxBsBb2GuS0GMKpyHF1WWeE6v8AGqfpMaAyaEgE1PQeBlsw+bxXw8KpBG3C4AgfHonj4BR35Q69jkls2AOYAFBdHbUUcd5R544AEDMcCR/jBUPRRolGhAETADHD0MAznjxo2zzWXegBvCA3gcD9gA2N6CIQ0APnG2wD8KIUYWBg/ySRReIJzH6T7rAb4AwojTRaUG7L2PgGKf/5i/AccoyV719WPcsmVL1jlFjQmYJktFcNNaMIaXkAZAEZWUvgFEskSQgYJ5o5azZlFWHP+Er5Nwf+Gxh9vH+Wv+/PmWg5kwF7IzVK1a1bVt29auE26QgHiMuRA6wk0DRggO8eF+fTmWfvCXgHfnCgl4M69WAW+mPxTSkOkPKbxZv97L/AUBb5m7uOKf4G9/+5uBaY0aNSInw6N04mp9vGySGXMMAEKffoNUkuN8G6qDMS5ieYtzXiATaA7GABO/yYcy8bvBeN4k4wGGNm3aZPMozjiCfTMef36/QY7XGRdzJOa5uMUySjOnbPPG534czJsMGIRk+LCRqOPS8E+SdcjlL27OSC8W3Jjm+8VXXI+o/GHjyQbHBePGFdKQ6SUBr4A37j0q4BXwJv0ML+t2At6y9rD6lwcqiQcInSArBwAO5KNksenN52GuJNPMOY0kwMsN0C2jM2Ozc3ZcQRsIeAW8At7kb14pvMl9lXZLAW/aHlV/8kAl9QAhDYRSALpA7oknnmghArubAbwov6S0kzkrekK4Eyq4bEeBFp72FPdpUWX1nRReKbyFcm0LeAtlJTQOeUAeqBAeEPBmLpOAVwqvFN7kH11SeJP7Ku2WAt60Par+5AF5oFJ7AOD9+ptvMkpF7733Xq5hg4aVet7ZJifgFfAKeJO/9QW8yX2VdksBb9oeVX/yQAX3ANko1qxZ49q3b+/IgFEexsYxNsRF5WdO6/wUjKCSXseOHa1LUo+RsaG4GwIB3v3+c4Srd/g/i4b25X8e5Tqc85qre1TdtIZbYfoR8Ap4BbzJ364C3uS+SrulgDdtj6o/eSDGA6RnmzJlSlF6NN+Ucr3EhJIGLJ9GdT0qjFG9jRRdpEhL20hXxjkonOGNEr/Nmze3whZlZcGqcj4vs68mSPoxyjyTfi2XAbwtqgx1TepsL2r6wYYGrk7XBa5e3Xq5Dq90rwt4BbwC3uRvawFvcl+l3VLAm7ZH1Z88kAN4yXYQLElMc+CSAgnnnntu3vwHuADeVBcDeMvKAEayPQCg3lBfyYMbLjud5hiCwEu6NAqNkE/4wAMPNPimiEZcijU/FgFv5qoIeAW8At7kn1QC3uS+SrulgDdtj6o/eaCUwAuMAcVz5861nMFUhqPKGeVqKZJx6623mvL60ksvOXLjUhmOR/NPPfWU7ZinpPLQoUNtFGQTeO6556wEMmEDHEeBjqh8tAD3V199ZfmIyQdMtTn6phIdFd0wqsORmQFF1o/l1FNPtbFgVFfjB0NFBZ4XLVpk8wAoOTfjJwezT2eG4k11s4YNG1rVsyTzz3ZOX/GOSngYvqP6HXmXg8DLa8yBQh8U0uD8vlogc2Usf/nLX2zu3pgLPmTcUnh3XuQCXgGvgDf5156AN7mv0m4p4E3bo+pPHsgBvIATVdmChuJLhS8UXgCVSm9DhgxxRxxxhFWqA0KpJkcoANXsWrRoYXD44YcfWhU7Xqc9IDlp0iQDZsCNynJAKgomv9MXimYQ5Pw45syZY+AHIO67775WMY/Kc1Soa9asmTWj3C4lpAFFP5amTZvaWDZu3GhQCVwD51SCIx6YUA2UVCrHoSBTyY1xUz0Oo0w1Fc8o/0sxiyTzz3ZOzvfFF18YXAOnVPU74YQTrKpaGHip7MfrxCkTSkFIA+Pbb7/97EYCP1OBrl69em7btm2ub9++Nqf169cLeAMXr4BXwCvgTf61J+BN7qu0Wwp40/ao+pMHEgAvEBY08tuiygK8F154oSmMY8eOtSaUR6Z87/Tp092GDRsMxHz5Xx+GMHHiRANGbMCAAa5///7WFyomIIeyiq1evdrK5aIeh/OEomgyBsAUFRdVNgnwBksREwMLXLIxrHfv3kVzCs41KqSBUAIPvMWZP/36c/qS12xMe//9993XX39t5Z8BWG4ysgEvm/OiQhoGDRrkOnTo4K677jqDeBR0lOxnnnnGHfrdte7oWv8omtaar49yx509XzG8evcrD2/oGlAe3kyHCHjz9yEh4M2f73Xm3dADqLG5YngBuEsvvbQonpeqZoArCi8QGgReHv+fdtpp7v7773ctW7Y0j9KWR/5ALn0Fy+J6l0+YMMFU4aClAbxsumPsKMJXXnmle+SRR1yDBg0yzpMLeIszfzr25wTOAXkUblTbxo0bW9gF80fZLi7wAv6MH8jFp2eccYbFWTP+BX963h15RK2iedWuU8ddcdUtu2WxASm8mR9kKjyR6Q8Br4C3UL7qBbyFshIax24xzYnbAAAgAElEQVThgSTAi0Lbtm1bCxvA3nnnHVN7URapdlYc4EWlBIgBtVwWBl7CI4DP3/zmNxYLi0WFNAQVXg+fnTp1cv369bOwBeA7aE8//bSp1k8++WTRn4MKb3HmHwZeztm9e/eizWeEJCxbtiwR8LJR75prrikaE2nLCGPo0qWLW7hwoSnshHNElRZu1bKVG5LAx7nWoCK+LuAV8MZdtwJeAW+hfK4JeAtlJTSO3cIDSYAXJReIHDdunMXw3n777Y4vDUBx5cqVxQJeFEqUynvvvdcUYEIiADcP03EKL68ByoQaXHbZZRYmgDIMUAZjeKOAF7UVVRSjLSrvrFmz3PHHH+++/fZbixMGHP1GsWAMb3HmHwZezlm/fn0LQ2Cu99xzj4Vn5FJ4eX358uUWwwzAefX77rvvdgsWLLAyyqwHJuDNfKsKeAW8At7kX18KaUjuq7RbCnjT9qj6kwdiPJANeIN5eAEIv+GLrgC28ePHW1yv3yjmITMqpAFIZUMWIQ2EQACpQJs3HveTgSFspAYjDGHmzJlu//33t5fnz59v4RKovYyDbBCoz8Tphsfi4RM4Rhlmc9eYMWMcIRkYsbRsgCP1GEoqijIGCAPFbMQjhrg48w+fk4wQbERjvGSaIBsF5508ebIpym+//bZtRMPwEUDLprkvv/zSkZP3v/7rv2x8Xn1esWKFjS0YIy3gFfDGfcgppCHTO1J4M/0h4M0fIgh48+d7nVkeiPUASiipvaJSiBXXdWQd+Nvf/mbpuapVq1asw3/66Sf3n//5nyUeBwAAeNeoUSPjvMyP+Nps4ynp/Jkr6dVQx4tbuW3r1q2WxcIfx2a3JUuWmKrrTcAr4BXwJv8IEfAKeJNfLWXbUsBbtv5V7/KAPFBBPcDNBso7GRwI0RDwRi+kQhoy/SKFVwpv3EeeFN78fSEIePPne51ZHpAHCtgDpDcjRIKcySjRQeBFCSbtmjfCJnwhjQKeUpkMTcAr4I27sKTwSuEtkw+eEnQq4C2B03SIPCAP7L4eIKSBCnYU1JA5i7kmBCR4U7A7+0UKrxReKbyF+Qkg4C3MddGo5AF5oEA9APD+ffvfLe2atwP2P2C3BT4BrxReKbzJP6wU0pDcV2m3FPCm7VH1Jw/IA5XaAwa8a3/jGtU7xOb5/Q//7fY58lzX48xhlXre2SYn4BXwCniTv/UFvMl9lXZLAW/aHlV/efMAabWIu6SsLXFj7777rlXH2mOPPXYZ09KlS90hhxziGjVqVOrx+nORiquyWpr+KlQfkYmCXMMU6ogzgLdFlaGuSZ3t1uy77Xu6j76/zZ3WZ0yhTq1MxyXgFfAKeJO/xQS8yX2VdksBb9oeVX+l9kCvXr3cP//5z4x+2BBEpbE4C5aO/fjjj634wCuvvGLFDcJ29dVXu9atW7srrrii2OMlLyu5ZqnMhUXloy12pwV+QGn8VeBTKxren//8Z8t/TBU4AW/yVRPwCngFvMnfLwLe5L5Ku6WAN22Pqr9SewDg5YfCAN7YEFO7du2CAF7Gdccdd7gTTjhBwFvq1S6cDgS8JVsLAa+AV8Cb/L0j4E3uq7RbCnjT9qj6K7UHgN1LL73UcqAGjepZVBEDNo8++mh76cEHH7QKYJSULa7CS9UwvqypskV1LUr41q1b1/GBRO5VwiMwQBtVt2nTpu43v/mNe/XVV616Fz/kZ6X07vXXX+8GDx7sXnrpJTtm4MCB9oNRzYt+CX1477333HnnnWeVyB599FE3d+5cK8pw3HHHudGjR7uDDjrIjqEy2u9+9zs7hvPzmleUL7zwQgvbeOutt+z1Ll26uJ///Odu0qRJVnDhpJNOsvEffPDBppQzZsI7KMhQr149d9NNNxX5L+hfqov94Q9/sGPYdc8Yf/GLX1hICApvNn/FjZeKbuvWrXO//vWvi07FvPA71drIdcu4qYC2zz77uL59+5p/oopRUFWO/iiVzLXANYDvWHcMvwwZMsT8QhW3sWPHWlqxbHMi0wLH0h9zJsSFSmte4SWMg1LDhDpQEnnQoEGuVatWVoRCIQ07rxwBr4BXwJv8a0/Am9xXabcU8KbtUfVXag8AvMBdy5Yti/oi56kHTMrTNmvWzF4D3gA7gLS4wLt27VpLLUVlrSeeeMI1adLEYJoKX5TXBXIAP17bsGGDe/bZZ93nn39u8EfZ3ubNm1s1Lz7AAF6AGFjbuHGjjeWFF14wgKU9xwFLzAlA/uKLL6xfAI0+Hn74YXfooYe6Bx54oOgcACcwy3lXr15t4Lbvvvua8g2ccSzQRulfyujyO2ANYHMDwFiAasoZ33nnnTYXQBpl2qvTwcUC5Pfaay9H6WHme88997ibb77Zde/e3eaQzV/eJ1Hj/eyzz2xtgGluKgBL1hJ/nXrqqe62225zxF4D1th9991nYw/muPVjBEyB5f79+7tOnTq5efPm2c2HB1T/ROCUU04xn9L/ypUrs85pzpw5BrTcWHXt2tVRrpkQGPqjLDI3XQMGDHDdunWzv/M6ZZCffvpp1/Cnq90xtXfG8H76r5vdmefeVuprvyJ2IOAV8Ap4k79zBbzJfZV2SwFv2h5Vf6X2AMAL2AUT+QO2ACGKalrAG4zhBZyAHyAKQ3n84IMPTP0lHhhlNghWuUIagD8UTOALWGzcuLHFFHtDjWzYsKGpkBh9A3vTp083OHzzzTcNVDGKHKAW33jjja5Hjx4GvPfee68BOQZ88zfUbw+NKJUAK74Ccvk/QB+1gS+4YMDrqlWrrAwx0A9c0m84hjfoLxTauPGec8457vTTT7d4aaBxwoQJDtikZDHKNDcdfi6cE2WdcYeNcdSpU8duSrBwCAI+GDNmjMFrkjkRh801hW/C/fHkAL+h+mMoyjfccINdI2xsW7l0iqtzZE1Xv35951wVV++Y7u64tvGb3Ur9xijQDgS8mQujPLyZ/lDhiUx/CHjz90Em4M2f73XmLB7IFtLA4+uyAt41a9aYyoh6991337nhw4fbI3ZU2e+//94tW7asWMAL5KEQMt6oDV8AMa+fe+655oVNmzaZsonCy2N7FFsPYryOT4BeD7dB4AXcOnfuXAS8wBoKMiBKv0A14E6fQCHj4YYibIDkwoULTT1HKeb/qJ+MMzyHoL8A2LjxEgIwY8YMA2h8jHo/YsQIGxMQzI0NyrI3IJQ+w4YPgGOf/zYKeIN+4fi4ObEGqOJR/XFzwWbEww47LGMYjBdFetac2QbfY2+9zVWvXn23fi8LeAW8cW8AAa+At1A+IAW8hbISGkeRB+JieIEUYlKJecVKE9IQVHj94+3Zs2e7iRMnWgwo4QCAHEov6l5Q4R03bpw78cQTbQxRWRpyAS+Pytu2bWuP+7F33nnHwJRMFIRDoCI+//zz9tq2bdsstnXkyJGWZi2s8AJhxO16hTcIvN6pW7ZscUuWLLGQgMsvv9zCHYLmVeSgcj106FDXvn37SOAN+gs1Nm68KBooxcQV0/bxxx+3WGJCRxgH/ibMI5ehmAPH3me5gDfXnDx8c3ODBfvjGgPIH3rooV2GBcALeHe6RcAr4BXw5vr02vm6FN7kvkq7pYA3bY+qv1J7IBvw0jFQBxyhagJZKIHEmJYkhrdmzZpu1KhRFq9JjCuxvCisACObqIAzVGUgMRjSwLnbtGljIEjoA/GuxKTyuN6HDOQCXs5De8CZeFMenaOEoDAvXrzYYlsJgSBWlRAHQHzatGmmOBYHeDmW2GJCBgATQimuuuoq25AWNB7DMmbgmTy0KNqopYCqV3iz+YsNcXHj5Tysz4oVK2yjGTcS3jgfPga06f+TTz6xdb3kkkt2uY4I8WAtUMUBX2Kbg5vMwn7JNSd8TVw0ccr4dfLkyTZGbmyYPzdTQDEqPWvDenXo0MFuHAS8At5sH3QKacj0jBTeTH8IeEuNCCXuQMBbYtfpwLLyQBzwzp8/3zZpEVNJdgYyB6CUov4Bd4AqCmKSPLyouOz8x/xjdDZWEQYAwLI7HyPWlrZe4eVfVEnGwFgB7ijgBYwBy6iQBuCTnK+ME2Mu48ePt3NhgB2btDBUZhTmnj172u+AHfG+QDcWVnhRJQlpYIz4wivF9IOvgOuo3MTBtmy2Y37E2AKfzCGbv3KNl9e9eupVan/toDwD/cQOewMwCXkIGxveuAkBOBkfviIjA/HEUX7hb3FzYn0BWqAZa9CggYUr+HUGhh977LGia4Q14trjGhPw7lwdKbyZV6qAN9MfAt5Mfwh4y4occvcr4M3tI7UoMA+w2QlYqVWrVqlHBuwAUoBu2EjxRQaIqHhXQJlja9SokXMjWNwgeayPShw1F8bF5jHGFgWoSSfv/YWKmasfwieIYY7yB+eL81dpxsuxfDFy4xGM5w3OEZ+joHsV/ZFHHjE13Kcly+aPuDmR5WLz5s2W9YKY7bDxOtcaeaB9rK5CGjK9JOAV8MZ9Fgl4BbxJv6vKup2At6w9rP7lAXkgFQ8QbnDrrbdaZgQ2EhJjS35f4pfL0wDeNZ+vsWwQXTp3iQTl8hxPvs8l4BXwCniTvwul8Cb3VdotBbxpe1T9yQPyQJl4ALBicx9py4i3Ji6ZTAnlbQAvyi8ZI2TOYsPJ8YwKLnNOIQ2ZV4EUXim8hfK5IOAtlJXQOOQBeaBCeEDAm7lMAl4pvFJ4k390SeFN7qu0Wwp40/ao+pMH5IFK7QGAd90nT7umTXaUt/7xp73dWf13ZPnYHU3AK+AV8CZ/5wt4k/sq7ZYC3rQ9qv52ew+wuYpStKQUqyxFCZYuXWobuxo1alRp15fNaaREIy1bnAG8zfcY6prU2VFaeMWGY1y9bn+yYh27owl4BbwC3uTvfAFvcl+l3VLAm7ZH1V+F9AA5XoNFBnwKL3K07rfffsWaE+m8SEdGGdrmzZsX69hCbRyVWq1Qx1rScYULWWTrB+BtUWUn8C4HeLsKeBXDu+OKUQxv5jtHMbyZ/hDwlvQTuvTHCXhL70P1UAk8APBSEIG8rSi069ats/ywgwcPtpK/xTEBb3G8VThtBbwlWwspvFJ4pfAmf+8IeJP7Ku2WAt60Par+KqQHPPDOmzevaPxUHuPnggsusL/xWB/VlkffZAgYNGiQa9Wqlb1G9oBJkyZZLlly6lJQwSu8d999tz3u5jUqtlFOFwUYwJ47d65VGqNU8ujRo62gArZgwQIrPsExtWvXtteOOeYYe41qaR07drSiC7zepUsXKxDB+ckdTJouyviSQ5j8tpTJpRrav/71LyvpSwUxKp6FjcIdFFvgGHbdM0YKM5D3FoWXIh/ADenAyNNLAQv/GD/beKdOnWo3D6QP88a86IdiIeQgZtwUcyAPLiWU8U+1atV2GR83IvRHQQ5uKpgDvvN5ePHLkCFDzC8UyaBU86JFi7LOiUwLHEt/zJmQjWDltmzrLYU3c2kEvAJeAW/yrz0Bb3Jfpd1SwJu2R9VfhfSAL1sLNFGoYeXKlW7jxo2O4gZAKOWHKbE7YMAA161bN4vRpdTsrFmzrLQwr7Vv395gjUptwK4HXmCRSmLAccuWLa00MpXQnnjiCQM0Sgs//PDDVnSBksO05RiAE5ilhO7q1asN3CiCQaU14IxjgTaqfxGCwe8AKICNKs1YgGrmRulkIBYwPeGEE+wnbFQso+jDUUcdZXO65557rOwuleQYz9q1ay0VF5uzGHuTJk2sJHDceD/77DMrKwxMA8mAZe/eva0y3amnnmolialuBlhjVJBj7LQJG2AKLFPumPhobk4Ys6+Mhl+wU045xXxK/6xjtjnNmTPH1qhPnz6WU5f1ZF3pL269KUmskIadqyPgFfAKeJN/7Ql4k/sq7ZYC3rQ9qv4qpAd8DC9KKxBJdS5AjNLBqKUPPvigwSKqJobCSLlfgGnhwoVu9uzZptaihoZDGoDFxo0bu+uuu67IN4A1pXFRITEgC9ibPn26weGbb75poIpt3brVDRw40N14442uR48eBrz33nuvqczY+eefb3+7+OKLi6ARpRJgpRQv4+b/AKqvUpZtkYDXVatWWYW3mTNnGlzSbziGF9Bk7kAnCm3ceFHJTz/9dCuBDFROmDDBAZvcWKBMA9F+LpyTPLuMO2yMg7y7QDYWDkHAB2PGjDF4DVq2OVH6mZsMfBPuL2692di2adVEV7f2IXbc//3nPq7B8SNczx47Sj/vbibgzVxxxfBm+kMxvJn+EPDm7xNSwJs/3+vMBeSBqJAGHmmjcD7zzDOmon700UeO8rxBA+Jefvlle7QOsGJRwNu6dWsDPm+ot6jC5557rv0JVRhlE4WXx/Yoth7EeB3wBno93AaBF3Dr3LlzEfACayjIgCj9AtWEIdAnUAi8RpVLBiSB92bNmplSzP9RPxlnGHjXrFljqixqJwAbN15CAGbMmGEAzTGEZowYMcLGhE8OP/zwjHLCQCh9hg0fAMf9+vXLCrxBv9Aobk6sAap4VH/cXGRbb26EXpz1UlH5ZW4iKNk8ccL9BXRFl99QBLwC3rirTcAr4C2/T6P4Mwl4C2UlNI68eiAKeInVJU6XEAEUTAAtmMnBD5g40Ndff90BdkmBl9CItm3b2uN+jBhgwBS4pj9UxOeff95eQ20mtnXkyJHujDPO2EXhBRqJ2/UKbxB4/RiJKV6yZImFBFx++eUW7hA0ryIDiD7cYejQoRamEQW8PhwAZRs1Nm68KBooxSjltGVjILHE3377rY1j4sSJFuaRy4j5BY69z6IU3iDw5pqTh+/hw4fvAtDEPWdbb9Z51pzZu1R5E/Cq0hoXkhTezHeygFfAm+uzvbxeF/CWl6d1noL2gAdeYl7Z3EVIAHGqKKUvvPCCxdCy2QtIOuuss2yzGI/nO3ToYI/mgblhw4YZLBLXS2hCMIY3rPCi5HI8mSCINyVUgj5RTBcvXmyxrYRAEKtKiANgOW3aNFOYwyENccDLsU2bNrWQAZQ4Qimuuuoqiw8OGl/ShB7QF3loly1bZmETgKoH3po1a7pRo0ZZfCsxwcTyMg82xMWNl/MAqStWrLCNZvjYG+dDHQe06f+TTz4xeL7kkkt2uV58nDWqOOBLbHNwk1nYL7nmhK+Ji0bFx6+TJ0+2MRJewvyzrTc3DgLencsjhTfzUhXwCnjjvuwU0pA/FBDw5s/3OnMBeSAqDy9FFlD/fHYE4Oixxx6ztGXYAQccYKEOPP7nETiwhNGeR/6omYQHROWwBRJuueUW9/HHHxf1NX78eIvrxVBi2aSFES5AvHDPnjtiRAE7wifatGljv4eBFxUaUEc5RU31SrHPLQxc8wg+bMG2bNQjNIMYW+CTOZD5wM/dhx2wES3XeHndq7FepfbnRnkG+omz9cYNBSEPYWPDGz4FOBkfviIjA/HEUX7hb3FzQsHnBgZoxho0aGBx234TXLb1JqOEgHfn6gh4M69UAW+mP6TwZvpDwLvLR3u5/UHAW26u1okqgwfY0AYokWQ/XEWNv5MRwKcWSzJfHuuTmotUZlGAx+YxoDIKUJP0TxsUaMaGipmrH8Invvvuu6L41PA5gEPA04Nu8HX+XtLxcixfjIA0PowyYJt4Wb/xjgwaqOE+LVk2f8TNifXcvHmzZb0gLVrYotZbIQ2ZXhLwCnjjPosEvALepN9VZd1OwFvWHlb/8oA8kIoHUNBvvfVWV79+fff9999bjC35fYlfLk8DeBcvWVKUg9mfe+iVV5bnMArmXAJeAa+AN/nbUQpvcl+l3VLAm7ZH1Z88IA+UiQcAKzb3kbaM+GHikklTVt4G8KL8kjFC5iw2nBzPKi2842pQSEPmu0IKrxTeQvmcFPAWykpoHPKAPFAhPCDgzVwmAa8UXim8yT+6pPAm91XaLQW8aXtU/ckD8kCl9gDAu2X9267jCR1snlX23Ne173TebqtwCngFvALe5B95At7kvkq7pYA3bY+qv93SA5SkJWdtjRo1ih5rspufDViUuA0aj/hI5RVODVZSx1H4gnRobLwqK6MIB/2TuaKyGhv7SIlGWrY4A3iP3H6Na3jEP6zZqi2tXNufz4nceFhZfRWcl4BXwCvgTf5OF/Am91XaLQW8aXtU/VU4D2zYsMFSb02ZMsVSjHmjEASboyg8kctIFXbXXXcZ9PoqZEcddZQ7+OCDd6kaRgWv66+/3vLw5ir1Gz4vadFq166dAcvh/LO5xlqS16NSq5Wkn0I+JlzIIttYAd4WVYa6JnW2W5P3NrR1TXsKeBXDu+OKUQxv5jtHMbyZ/hDw5u9bQMCbP9/rzAXigWzASzEFgDdY4jfbkIPAG8yDG9W+NMBLgYsmTZpY/lhvAt50LiQBb8n8KIU3028CXgFv3DtJwFuyz5k0jhLwpuFF9VGhPZAEePmQAjbJEIChslI9jCpmmAde8upSQIJ8t6i7VC+jMljQPPD26dPHEQpBpTHaUEACozoaRQ/ITcvud0IfAFxCF6je5vumahkVyjj36aefbtXByJPbo0cPq/pWrVo164MyuYRQUEGOkr5UEOPYsGU7Lyo0Cm/VqlVtRz7pwMjDSwELr4gvWLDAimWg5uCb0aNHWwGOqVOnunXr1ln6MG+0ox9KBZODeNKkSY7wD/LgUkKZcsOMPWzk4aU/CnJQFIM54Dufh5cqckOGDLFiFBTJQKFftGhRpC+ZE5kWOJb+8BMhG8HKbYRx4G9CHcgIQZnpVq1aWQlpKbw7V0fAK+CN+wKQwpvpHQFv/nBBwJs/3+vMBeIBD7xdunTJKCYBJAJVKLyA7MyZMw18gFDKDnMc5W2DwAtQAnsUn6AsL/DHTxTwUimNqmIoi1T3AuYIg6ByGLG//J9zcH7K3wLXlPalP2B5v/32cy1atDDg5XzAHtBISWCgtnv37lbGlypylAJm3IAp8b78hC3beekH4F27dq2l4iIlGPNHaQa4qZLG64A5PsQnlGIG2j/77DO7MQCmgWTAsnfv3hbSQWwzKjrVzbxiTQW5iy66yNqEDTAFlvErJZfnzZtnvvKV0fADdsopp1i5ZvpfuXJlpC+Z05w5cwxo8WXXrl0txIQbEPqjfDIllQcMGOC6detmf+d1ykZTkljAK+DN9vElhTfTMwJeAW+BfNU7AW+hrITGkTcPeOAFHvfff/+icVD2F8j0IQ2okR988IEpnLz23nvvZcCWj+EF8GrWrGlQF2VRIQ0owRdccIEpwhgQuWrVKqtcBmgDeRdffLGpzLlCGjg/Fcv4l1K8QC5z4LhcMcPZzhuO4QU0gUWgE4X2zTffNLDGtm7d6gYOHGjlllGbmRMKNAo20DhhwgSDTSrAUboYiOZGAmOuqOiMO2zMn7y7QDYWDkEAeMeMGWPwGrRsc7rsssvMT359g/09+OCD5jdUbAxFmfLOzJmNbe6rW9zRtfe21zb8n9qu3emPu8MPP3yX6nt5u6jL8cRSeDOdLeAV8Ma9/aTwluOHU+hUAt78+V5nLhAPJAlpAJqGDx9uCiqPtYntJYQgqC6WBnivu+46C4GgkhhAt3DhQtesWTMLGeD/qJAojkmAl+OBSR7pb9q0yf4F0qtUqWJqMPC677777uL9uPOGgddvzEPtBGDpOxjr3KtXL4Pe888/30IAZsyYYTCLkkuow4gRI2xMQDCgGCwnDITSZ9joEzju169fVuBF3fbwTKO4OaFIo4pH9Qesc2NCOeagMV4U6RkzZ7ia/1MOes8qe1q4R83Da7obR40qkKu6/IYh4BXwxl1tUngzvSPgLb/PpvCZBLz5873OXCAeSAK8ZGogLpQQAeAOpRfFLy3gBWiBUSCRH0DNhx0MHTrUsj944AUYr7nmmiLvhTetBYHXN9qyZYtbsmSJhQRcfvnlFicbNK/KZjtvGHh9OMDs2bNNjUX1fP75563Lbdu2WSzuyJEj3RlnnOH4gEehBtZp+/jjj1ssMWEijGPixInu2GOPzXk1EPMLHKNcY1EKbxB4c83Jwzc3MuH+iHsGyNmAGDYAftac2btUeRPw/iznGu4ODaTwZq6ygFfAWyjvewFvoayExpE3DyQBXh5xs7EKYGOjFOBY2pAGUowR+vDSSy9ZSjTADxAkBAAlkXywqMhAHMAI8D788MNu+fLl9mgdZQ01NA54iZ0lLAPVk/Zs7Lrqqqt2yQHMl3TceQFexkoMMfGtxAQTy/vAAw/YhjhicVGpia3lnIDwtGnTihRSIHXFihUWE81NgzfmiT8Bbfr/5JNPDJ5JExc2QibwOxv8AF9ihYObzMJ+yDUn1GnijImPRsmdPHmyjZGbGPxOHDRQTJw1X9qEY3To0MFuHAS8O1dHCm/mlSrgFfDGfZlJ4c3bV71iePPnep25UDyQJA8voQHE5LJjH2vYsKEpvkGFFxW4Xbt2pkCyaQoAjDIfw4tSTOYBjPhdNmthKKBeLWUzGvGjxLoCgaiOPG4H9NgEBlwCemz2YhMcBjySkQEIDfbF+dq2bWtxqWR6CFvceQFe5uvH68MOGAMGiLKpDOM8qN89e/YsOoVXY73q619AeR43bpzFLHsDMAl5CBsb3rjhADjxC2tARgbiibGwH3L5krUEaPEl1qBBAwtX8GsKDHNT4ud8wAEHuPvvv99ufAS8O1dHwJt5pQp4M/0hhTfTHwLe/H3zS+HNn+915groga+++spibaNiYIs7HUAW4AMew2m4CAv47rvvDGqjjMf1KKxkXshlxPMCd6iYUaAbPD7XeYFDwDNqXPydTXa8lus8UTDLFyO+CMbzBtsBnmy68xvvHnnkEbd48eKitGTZ/BA3J1KTbd682VKSEZ8dNl7HdxRVqF69ur2skIZMLwl4Bbxxn0ECXgFvru+o8npdwFtentZ55AF5oFQeINyATX3169e3TYOo3eT3Pemkk0rVb3EPzga8gP4N1/+yuN1V+PYCXgGvgDf521gKb3Jfpd1SwJu2R9WfPCAPlIkHAKt33nnH0pahbhOXTJqy8jaAF+WXjBEyZ7HhPGlQaeEdV4ju5r4AACAASURBVINCGjLfFVJ4pfAWyuekgLdQVkLjkAfkgQrhAQFv5jIJeKXwSuFN/tElhTe5r9JuKeBN26PqTx6QByq1BwDer7/5xp199tk2zwMPOCBrrHWldsT/TE7AK+AV8CZ/pwt4k/sq7ZYC3rQ9qv7kgTx4gHRelP4lOwTZGsK/52FIbuPGjVa8gU1m5OOtLAbw7v/uba7eAT/ZlFZXbed6j3oqo0pfZZlrknkIeAW8At4k75QdbQS8yX2VdksBb9oeVX/yQBl5gDRj5LzFKLNLFTNvFEogPRewS4qy8O9lNKTYbn1xChr5VF/5GEeuc1JCmBRkbIbzRS3ijgF4j115s2ty0I/W7I3/7uy6XjvVkbZsdzQBr4BXwJv8nS/gTe6rtFsKeNP2qPqTB8rAA//4xz8sF6830ndReKGQgZcUbii85OWliEah2jPPPGOpzWrVqmUpx3KZgDfTQwJeAa+AN9enxs7XBbzJfZV2SwFv2h5Vf/JAGXjg5ZdftqIHQaPqGsUXsJIovCtXrnRUkCMUAqMvCkZQDQ1buHChVXYj9y7qJ3l2sbFjx1obX4iDUsWdO3c29ZncuL4oha8It99++1kVM/971apVrZSwV30pL+yLbtxyyy2OQiCUUmZ8jK1Zs2Zu9OjR7qmnnnKosXXr1nWUW27durWNh6wNFKT48MMPbYxUYbvyyitd165dM85JUZB58+ZZRgGqtVHC2ac683MjtVjjxo0d4yAjxPz5860NNxwAMQU41qxZI4U3cCEKeAW8At7kH/oC3uS+SrulgDdtj6o/eaAMPEBFMECL6mWAIxDaq1cvd+2115YIeKmaBjRi3bp1M7Bct26dPZanytsXX3xR1DdtgD2KZGCUNW7evLnr06ePpaRiDIxl7ty5btKkSQ7ApQzwm2++aSWIUXgJt/C/0wfQSTU4X8WM0sqA7KBBg4qq2QUr0YVdSglmKsMBooR2kAoKiObcVHXDqJLGvBhDlKGQA9fk9g0DLxvSgH+sVatW9u/HH3/sBgwYYGNXSMNOjwp4BbwC3uQf+gLe5L5Ku6WAN22Pqj95IGUPUOkLEMSIz33//fcNSqkM9tJLLxlQFlfhpZwvJXJr167thgwZYlXdUEmxhx56yE2fPt0UXgDy6aefthyrlPxNA3gZL4o1xSP69+9vsHnFFVe4fv36FQEv/+dvKLvvvfeeqbaEHSxatMjdddddNo5Zs2a5N954w02cONF8cNNNN9kGuXvvvdfKMVOKmU18HrqJ06UdoI4NHz7cMi1EhTRQJplyyRhAfdxxx5nKTdU2wP3Qpbe6BgfsiOFdvmcHd/avnlQM789+lvKVXzG7Ux7ezHVTHt5Mfwh48/e+FvDmz/c6szyQyAMeyGiMkorSCgRiwFyHDh2KDbyXXXaZKbpRRvUy4JJKZqi/PN7/4YcfsgLvsGHDLL44qcLrFV/OzbGffvqpO/HEEx0Q7hVeD8BAJ/DZoEEDC5dA5UbtxmbMmGGwyutRhq9QZ4MqM+2Aab6E/TmigJcSyYRZAM7euMGgL0InFv3pRdf6uONc+3bt3X4HHuSaHHeCwfTuaFJ4M1ddwCvgjfscEPDm71NSwJs/3+vM8kAiDwQf84cPoKwugFpchffGG280pZiYVa/s0jcfxocddpipm4QhENdLHG8U8J5zzjkWSoACStYIn5UhV0iDB16qlaEaA5WoroBsGHiBXJRZD7yEWlx11VVFwEscMOPDnnzySVOkMdRjwiWA6TDwEpZASEgYeFGRgV8M4K1WrZp75ZVXbOMdYRL0RxaMli1butlz57huXbu6X1y9A753ZxPwCnjjrn8pvJneEfDm79NSwJs/3+vM8kBODwQBj0fwPFbHADGAFOPRPmEIxUlL9tZbb7nbb7/djmcDGo/sN2/ebGAHZKIikwYNAzaJt/WKsI/h9WERAGyjRo0s7hcozAW89EnWBlRqwBN74IEHXNOmTYsNvMTwUuKX8x500EGuY8eOBudsoOPvwHsu4P3ggw+K4nVRqukHiCNcgpjpgw8+2L3wwgs21k6dOtlNgIB356Ur4BXwCnhzfpQXNRDwJvdV2i0FvGl7VP3JAyl6ABAEaHmczr/EqGIUdSD2FvvlL39pGQ2KA7welNnY5Tds8bdDDjnE4BPIIwvD6tWri6D3r3/9q/3fAy+buFCXUXCAXkDw888/TwS8fkMa/5L5oHfv3tZ3cRXeAw880BTYCRMmuE2bNhV5no1lPhQjF/CiNF9zzTUWLoGxIa5v376mfPtNdfifmwJ8PXv2bAFv4BoX8Ap4BbzJP/QFvMl9lXZLAW/aHlV/8kAF88C3337r+EHZBCCDxoa5Pffc0yA2vGnNtwM0a9asae3iLJi1gU1r/oM/rdhX1F5CERgr4O5vDpIuBz5AHQb299prL4PdrVu3WsgFoR/eyMMrhXenVwW8Al4Bb9JPGVVaS+6p9FsKeNP3qXqUByqdB6JieIs7yXCasuIeXyjtBbyZKyHgFfAKeJN/OknhTe6rtFsKeNP2qPqTByqhB1A7ya2LnXzyyaaCFtdQgpcsWWIpzkgHVlEN4EVJZvMbad12dxPwCngFvMk/BQS8yX2VdksBb9oeVX/ygDxQqT0A8BL3y6Y4mbMNfsRMcyMjc5a5hAwfhMXInMX4EyqVVuhSRfepgDd/KyjgzZ/vdWZ5QB6ogB4AeP++/e+WzxercUiNCjiL9IYs4JXCK4U3+ftJwJvcV2m3FPD+//bOA0iqomvDbcQfFBOpilBQCqJISQmKCAhKBgPJQJQMkgRUPgQFVECCBShRiiwZEfVHQJIiImIiCSqIICoCigEpFEX96+m/er47s7Mzs7sz7Mzc91RZLjt3+p5++s7Oe889fU68iWo8ERCBtCZgBe97k83VRQuYH0+dMVUfmmaKFy+e1nOONDkJXgleCd7YP/4SvLGziveRErzxJqrxohLgERdfkldeeaUttxVPI9d09+7d5osvvjBFihSxj9Io4VWgQAHbkSzZjMoC1HvFaCJBpYTcMsqTffTRR7YGb7ly5cy1114b1RUqGND8AatevXpc2uvu2bPHHDx40LYFptFDshmC9/pdg8w1l/1lPv/5ApO301pT9pprks3Ns+aPBK8ErwRv7B83Cd7YWcX7SAneeBPVeGEJIESXLFli5s6dG9SuldqtNECgQUBOjXM0b97c5tBhlKZCtG3evNmULl3aTJ48OaenyNH7v/nmG/Pss8/aMcaPH29zHtnIRQtbjFqytMLNDTt06JDp2LFj4NR16tQx/fv3D3Jlw4YNtusZzS/caydOnDDNmjWzx9GwgiYVObXQrnE5HS/e75fgDSYqwSvBK8Eb+18ZCd7YWcX7SAneeBPVeGEJ0AnM7fJngwuPgIniIVJdI4Ocovvggw/MoEGD7OYIhGWePHns+C7Ce9NNN+X0FDl6P21ue/XqZcegiQQbW4jwUq4Lq1KlSq5FeGkl/Morr9iqAzRXoJYtHdi8Rtvd2bNn28g5og+T4FWEV4JXgleCN/avBgne2FnF+0gJ3ngT1XgZCFDCqWXLlvb3tI8dM2aMTWU4efKkGTt2rH2N1rS0tUV4fffdd3bXN9HZPn36WHHMlyodubCaNWuaNWvW2GYJtWrVsr9HTNL1i+MwGgUQsSSqyrGkM/To0cO+tmLFCjNnzhwr1ohWuk5jQ4cOtSkQ/fr1s8cRcSUVYvr06WbTpk3mtttus2N+8sknVqQjClu3bm0QgohpxCLHkrKB0L7kkkusf5z31KlTtjOaa6VbqFAhu4ubrmZOBI8YMcKOAZepU6ead999186HSHXTpk3tJinEPOdjTghSqgXQordYsWKmQ4cOtrVuOCOCi890TqNNMOkCcIPLggULLA98hjvRdtYIH51t27bNDB48OMAKvkTNe/fuHYjw4iMti73rgqjH3njjDXueY8eO2XPgZ9++fcOmQLgILx3P4BFuftEY0SWOphmdO3c21apVs62GiUCznqwrRuR/3bp1hrlx44GQh0nlypWtn3Ra27Fjh50zLLp27WqvAUV4g68wCV4JXgne2L/4JXhjZxXvIyV4401U42UggAgibQFD4CF6Q428W8QtxmNxhCHCEWG8aNEiK9Lco3OOca1p+ZnH6wiZUEGGOCXq6225u2XLFnucGwMhQ84qhiBEXLZp08b+GxGIsEMII44QTkOGDLERWdrVeo0UAHKSaTuLeEdMHzhwwB5CtPm6664LK3hJbbjvvvvscS4lABGJMHWin9a5GIKZmwMnCEMZkv+7dOnSDGwRh7TsRbgxv0svvTTgG6IOAU+qSU4Fb7h1gcuyZcusgGc+3KxQi5e0E4TlsGHDMvgby/yiMWrcuLG9WeC4u+66ywpuWHOTwpOG7du3m8cee8ye26WR0CqZ2rqwatWqlfXx+uuvt+/hZgyjFTM3P1dvf8KUufQv88UvF5gruq5RDq/KkgWuY5UlC/5IqyxZMA8J3gx/8s/aLyR4zxpq/54IwTpjxgwLgMfmRD5DDSFJFI6cXsQREdEmTZpYEUYkELHpBC8CsmLFijbihqisWrWqFaVOWCHqFi9ebE8Rmg86cOBAGzHEByKltMP1tszNquAlest7ELv4TqQQgUqEEBGJyKxRo4Z54oknbBQ6NKUhNCUAge9yeomyVqhQwUybNs0KWSfW3Jw4H6kiRCgff/zxIJHu5YsIR9hyk4DYI+oKu6+++iog4gcMGGA+/vhjEy53140VLaUhs3Vx4hMObGxjY9zq1autP9yMhFq0+XF8NEbRBC/XIU8TMMTtDTfcYKP93Bzs2rXLjBs3zvoHV1oUjxo1yuaeE0U/c+aM2bX+JVOsSGHzx19/mwLla5v/uej/I9lea9igob25SHdThDd4hSV4JXgjfeYleHPvL6IEb+6x982ZN27cGIjksXGMR+GhhpAg/aBhw4ZW4GJE2ngszaP8Bx54IMPmKAQWG6nYyT969OiYBG+nTp3M119/HRChoS1zvYKXfFUeqWcW4Q0VbIhJBGiouUhmLIKX9A/EMbZ8+XJz8cUXGy8/BCJpIN6o9fHjxy0fLNzGMZefSzQb0Yo5UUlaBII6HoLXndu7LkRw3Q1FuAve5TJ7Xwu9SQmdXyyMSK9AiHGDcffdd2eI8DIGohkR64ybDSL3RPMRxOGMaDFd5l5f8b82jSSSDfjPf0zhQoXT/nMuwSvBG+kiV4Q3mI4Eb+79SZTgzT32vjkzKQMuTYBI2siRI23+KmITMYaIIKpLpJLILa8T2aX9LILkoYceMrVr184geBG5lMTKiuB1wo4UCKLORGB5jI2R0sDvifhhRPl4pB2L4MXfBg0aWL9JOyC3F2FKjmg4wesi3aERXs5L9BVDiCJIqYyAmCQlYOXKlRmi1nyhuCYI4QQv0WHG4v3kLyPUHYdKlSrZlIusCF6vcA63aS10XbiJYR35Pzc2zo4ePWrKlCmT4XMQKnhD5xcLIwQvkTbWsl27dnbeLu+aGxMEL5FuIs1E5ElZYO24llgvrkeMtBYi69jp06ftMVxzErz/XTYJXgleCd7Yv84leGNnFe8jJXjjTVTjhSWAeESsYQiIEiVKmC+//NIKIYQI5bl4bIzxOJqNa6QeYGwSyps3b1wEL2IFQRbOXLUI9ziciB85vDz6x0JzeL0RXoSQiyoi2tlwh1BFUDvBy8+Ie4xNbkSTiTh7xSobtRDLRLY59+23327LucHJpRtEE4ShpcG8pc84L+O+9tpr1g8e2d9xxx0xCV5v3itRU3KG77nnnqjr4l178mXxj2j3/v37A9eEdz2izS8WRk8//bTNtWWNyKnmWmONXFoIgpb6x9xIEbHlpoC8cdJjuMGibTDHM0c22HFzRsoNv2cdJXgleDP7U6+UhmAyivAG85DgzT2RJMGbe+x9dWbyHhcuXGjmzZtnhYQzNrARQSUHdtasWXYnvzMEJ4KMhgyxRBJdXmakHF6qGpBTTMSPfFsiuGxkw1xElQggPyMyEUj8R04u+adseHOb1kJTGhD0EydOtO8jmkr+JsKVcmMIMIxNTwhhx4BcYxdhdtFZUi44D0LVGWMQhUX4RxOE4WrhUvGBGwpXkYJxEdYuFxbO5NZGyuGFXc+ePc3evXutWwhPotihdXhDI7zwIJUF5l7jpoDc4lCLZX7RGLEBjaodfNmyTuQ779u3LyB42cTGud06cK3x9IGSbIhcor5Uc/CuAWtKuglCXYJXgleCN7avMAleCd7YrpTEHyXBm3jGOkMIASJpbEojfSC00xrCGJFBDV0enbNhKJ6GyCU3l0fXiEc2dLk6uKtWrbKpFhh+IFYpVZUV433ff/+9jaKyIS6cIbIYmxJokTrN8UUBK0qIufJeWfEl9FgEK8KdR/P45+aa1TEpO0bEk8hoVsZg3qQSIIC5wYnHnKIx4loqXLhw2LXAH/KD8Qce4YzrBZ+56eFGiuuRJw4SvBK8Eryx/eWQ4JXgje1KSfxREryJZ6wzJBEBHie5MmBet3iMTUqCTASiEUDw7t2319bkjWS3Vrk1kP8bbcxUfl05vMGrp5SGYB4SvBK8yfL3TYI3WVZCfpwVAtTzpQ4skT9Xl5Zob2YRvrPilE6SUgQQvETLyeeVGVsNg3QPWmXLjN0sydOLrDz9SGduErwSvMlyfUvwJstKyA8REAEREAEREAEREIGEEJDgTQhWDSoCIiACIiACIiACIpAsBCR4k2Ul5IcIiIAIiIAIiIAIiEBCCEjwJgSrBhUBEUhXAuRoUtmBqg1+MqpV0Pkv1uoaruQbZeHS0bLCg2ofruJKOvJgrakAQ+WdWHKX+QyxgZjPENdUullWeaTb/JN1PhK8yboy8ksERCCpCLA5i1rINM3AKFlHHeKCBQsmlZ/xdubgwYOmX79+djMWRiOVIUOG2I1qmRmb+jgGczWo4+1Xbo2XVR60t3bXDMxo9EK953QxyjrSrdHd4HTs2DHQ6jx0jnyG6LaI+HdWo0YNM3DgQFsvOx0sKzy88/32228N7KiFnk7XRzKtqQRvMq2GfBEBEUhaAjQjobkIDUKo4UwTjuLFi5thw4Ylrc/xcIxW18x3xIgRtsY0Jfy6d+9uu+yFM+pZT5gwwUbBvU1X4uFLMoyRVR40OKlfv77tLkm3PsQhTU3oOpjqRuSazpQtWrSwjWw2bNhgxowZY2bOnGk/G6HGTRMNhnhPsWLFbDdEPj8woc15qltWebj5woUbASpa1KtXT4I3QReCBG+CwGpYERCB9CLAlzqtnrt06WInhrAjwrtmzZq4N0hJFnJ8AdP6mi59N954o3ULgXL06FErasMZTWXojAgbGqukU4Q3OzxCGdFevFGjRqZbt27JsszZ9oP23NwI0bnQlaWjnnmTJk1MmzZtoo5Ly29uoOjEWLp06ajHJ/sB2eFBsyJunmmQc/LkSdtoSBHexKy0BG9iuGpUERCBNCNA5KVv3742WofRvph/0yqaNtLpaE6QzJ8/33Y+xObMmWNWr15tW4VHMlo7U/c6nQRvTnjA6sCBA/aGiUf43DylutGmfcmSJYa27s5I4aDteCTRdujQIfs+It5w4D3pYNnhwQ0kaTJTpkyxKVMSvIm7EiR4E8dWI4uACKQJAXJS69atGyRUnPhBAKZr45Jt27aZ/v37B4l6vtQRwLTl9pvgzQkPHlt36tTJdt+bPn16WuSskuZDVNN784PQZY7c8GRmu3fvtgz4DJUvX94eGyknPFX+jGSVx7x58+xni3b3l112mXnkkUckeBO42BK8CYSroUVABNKHABFeNm/xf2+Ed9myZSZ//vzpM1HPTJyoX7BgQWBzniK8D5ms8iC3s0+fPnazFqLo8ssvT4vrJTsRTe/ESX0hZYa0BvJ6U92yyoM5k8pQsmRJO/WtW7eaPHny2Kh3OqS8JNt6SvAm24rIHxEQgaQkEJrDywa2cePG+SKHd/To0YYW3BgpCpTkyiyH1y1eOqY0uBzerPD49ddfzcMPP2w38U2aNMlG8tLFwuWsIuKaNWsWUw4vHMj5JU3I5canMpus8kAgI/qdrV271m4QbdCgQaaVLlKZT277LsGb2yug84uACKQEAVelYerUqfZLibxDP1RpQIjwiHr48OG2SgMVGrxVGshjJu+Q1AeMvF3EHbmJlKoaPHiw3dCULmWnIvFAvHTu3Nm0bdvWbkyjDJfbvAU/OGLnnXeeKVq0aEpc95GcJHJ99913m5YtW9oqDevXr7cVKFyVhlAepISQ+07pLYQ/aTF8rtKpSkMkHkRw2cw5cuRIU6pUqQxoldKQ2I+EBG9i+Wp0ERCBNCGAeEHU7d27186ITVxEeN1mrjSZZoZpsNEKUcv8sdA6vPfff7/NYYYFRtRqxowZQeNQyqt58+ZpgSgSDxcBbteunWnVqpU5cuRI2Egn+ao8IUgHoxQZgtVZ+/btrQDGQnns3LnTbszihsgZnOCVLhaJh3uNpyNly5aV4D3Liy7Be5aB63QiIAKpTYAvcb6w073hROgqId7oipWOnbGyc0WKx3+pEck/fPiwzUeNtvmMDaB0WXMluKIdn521ye33ZIVHbvvqp/NL8PpptTVXERABERABERABEfAhAQleHy66piwCIiACIiACIiACfiIgweun1dZcRUAEREAEREAERMCHBCR4fbjomrIIiIAIiIAIiIAI+ImABK+fVltzFQEREAEREAEREAEfEpDg9eGia8oiIAIiIAIiIAIi4CcCErx+Wm3NVQREQAREQAREQAR8SECC14eLrimLgAiIgAiIgAiIgJ8ISPD6abU1VxEQAREQAREQARHwIQEJXh8uuqYsAiIgAiIgAiIgAn4iIMHrp9XWXEVABERABERABETAhwQkeH246JqyCIiACIiACIiACPiJgASvn1ZbcxUBERABERABERABHxKQ4PXhomvKIiACIiACIiACIuAnAhK8flptzVUEREAEREAEREAEfEhAgteHi64pi4AIiIAIiIAIiICfCEjw+mm1NVcREAEREAEREAER8CEBCV4fLrqmLAIiIAIiIAIiIAJ+IiDB66fV1lxFQAREIAUI/Pbbb+bnn382V155pcmXL18KeCwXRUAEkp2ABG+yr5D8EwEREAEfEPjll1/MpEmTzFtvvWXFrrOiRYuaBx980DRt2tScc845CSdx+PBhM2vWLHPzzTebOnXqRD3f9u3bTceOHQPHrVu3zvz999+mXr16gd9NmzbNVKxYMepYsR4QzseZM2daflipUqXMyy+/HOtwOk4EfEFAgtcXy6xJioAIiEDyEvjqq6+sqD116lSmTvJ67969EzqJ0aNHm8WLF9tzPPPMM6Zhw4ZRz7dt2zbTqVOnwHFr1661grd+/fqB37344oumUqVKUceK5YDMfJTgjYWejvEzAQleP6++5i4CIiACSUCgW7du5sMPPwx4cvnll5trr73WvPfee0HeLVq0yJQuXTphHnujsLEKXiLTXt9r1Khhfv3114QJ3sx85KZh//79ls3FF19sqlSpkjBOGlgEUpGABG8qrpp8FgEREIE0IbB7927Ttm3bwGxuuOEGM3nyZHPRRReZgwcPmmbNmtnXSG1AGLuoK2kPpAogNg8cOGBKlChhrrvuOhtt5ZE+dvz4cdOnT5/A2GPGjDHjx483mzdvNnny5DF33XWX6dGjh/npp5/MI488Yvbs2RM4tlChQqZAgQJm3Lhx1o/nn3/evnb11VfbcxFRveqqq0zr1q3NnDlzAu8jreD06dNBgrdLly5my5YtZteuXVaw854777zTvmfTpk12Hhg+TZ8+3f48dOjQgIBt0qSJqVatWkQfuTlYunSpfS/+DR8+PODTvn377Dk+/fRTc+zYMcupQoUKpnPnziZ//vz2ONI4NmzYYH++9957zZkzZ8yyZcvM559/bo8fMGCAKVeuXJpcdZqGHwlI8Ppx1TVnERABEUgSAitXrjRPPvlkwJuxY8caoqTOPvvsM4P4ZAObs0OHDplWrVplmgLhxjhy5Ihp1KhR4H1Ejr35wbzw+OOPm1tuucXcc889YYmsWLHCir5HH3007OsTJ040PXv2DLwWLqUh3BtdBPn11183Tz31VOCQjz/+2P7M/DgvhjBFIEfycdWqVWFzePEHsRrO4IoQLl68uBkxYoQVuFjevHkzsIXdG2+8YUW5TARSkYAEbyqumnwWAREQgTQhgOAix9UZObREUSMZUVxyZ50RqV2/fn1ApCHOEJInTpwIErzhxBziGkEYKcJLZDZU8HKOBg0amDvuuCNqDi/nJeqKUHeG2ESkxip42bQXyUfGCd20RroFbFxuND5XrVrVIOKdVa9e3Ua9vYI3M/bz5s2zqSYyEUhFAhK8qbhq8lkEREAE0oRAqOCNlqeLiKtVq1Zg9oMGDbIVHEKrJUydOtVGLr0R3pYtW5q+ffua7t27B/Juy5Yta+bPn2/Hyyw/lsoRXsHbtWtXQ5rCv//+a88bbdPa/fffb/r372/PQ/TZGSkEGzdujCnCSzpHJB/DbVp7++23rUh2RuUG0j28x/IaKR745SK8/O7NN9+0Ap3osrMXXnjBCmaZCKQiAQneVFw1+SwCIiACaULglVdeCco3JdpI1NEZ4vTcc8+1kVR+T5pCu3btAq8vXLjQlClTxubN3nrrrYHfkyZBqoJX8LqxJ0yYYGbPnm2PzY7gRRiWLFnSvj+WKg2jRo0ytWvXNjt27DAdOnQI+Mg4O3fuDCt4ydt1EWFEZ3YE79y5cwO5x5z0o48+sqXdyHt24/F7/FiwYEFA8DomJ0+eDEovCV2bNLkENQ2fEJDg9clCa5oiIAIikIwE2FD1wAMPBFyrXLmyLQlGzu7WrVttNNYZea385y0X9txzz5nbb7/dUKWAzVbOiEayqcwreBGAbLxiU9yMGTOyLXiJ+LrNXrEI3l69elmRTg7s4MGDAz4SWV2zZk2Q5qno8QAAArJJREFU4CXn9oILLjA1a9YMHJddwUuUduDAgYFxGPuKK64woTcZRJnh5SK8bJBjk97vv/9uN8s5k+BNxk+QfIqVgARvrKR0nAiIgAiIQEIIEPUk+um10JxXXnv11VdtmgK5s1QbwIhGtm/f3ualUvHAGeLuzz//zJLgJYLs8l2JyPL4HnHNuN6UBiouXHjhhfZUsQheNoEh1Nmg991339n3Mb/ly5fblIZ+/foF/KZKBdFqt2GNF7yCNzMfEfOhObzffPONady4cWDsunXr2puDKVOmBKLHLprrzeGV4E3IZa5Bc5mABG8uL4BOLwIiIAJ+J4AwI782UuMJXnf5qFQyIIc2M6MUWZs2bWz6Q1YivN7KCG5sRCrlyryC9/3337dR2FgFbzg/Xe4xXdPYWBbJvII3Mx+JHofrtEYkm4h2ZkZqR/ny5YM2rUnw+v0TmZ7zl+BNz3XVrERABEQgpQgg/BBs77zzTpDwJRJKnV5yWr1GugOP4b2RUGr1UiKMlsDkqh49ejQo/eGll16yNWWJcLp6t94c3tAcW87HRrPvv/8+U8EbS2vhIUOGGGoAI+iJ9rZo0SIoVQNRzUYy6gljiFqi066uLuKejXJYZj5Shzec4KXrG5FkNvF5S7IRSUbEwwPzRnhd5YY//vgjaJOaUhpS6iMlZ0MISPDqkhABERABEUgqAghMHusXKVLENqCIZOSZ/vjjjzY3NV++fDmeByLvhx9+sBFcGk+cf/75OR6TAf755x8bcaYcWWZjMu+CBQtGPWd2faQDHKXaChcuHEjJiMvkNIgIpAABCd4UWCS5KAIiIAIiIAIiIAIikH0CErzZZ6d3ioAIiIAIiIAIiIAIpAABCd4UWCS5KAIiIAIiIAIiIAIikH0CErzZZ6d3ioAIiIAIiIAIiIAIpACB/wPsVqZWCISvMQAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.plot.features_importance(selection=[259, 268])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Display the features importance plot of the features inside one group**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.plot.features_importance(group_name='size')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Contribution plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Plot the shap values of each observation of a group of features**  \n",
    "The features values were projected on the x axis using t-SNE.  \n",
    "The values of the features (top 4 features only) can be visualized using the hover text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.plot.contribution_plot('size')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Local plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, Shapash will display the groups in the local plot.\n",
    "\n",
    "You can directly see the impact of the different groups of features for the given observation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "xpl.filter(max_contrib=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArwAAAHCCAYAAAANehpvAAAgAElEQVR4XuydCbxV0/v/n1IqlVkSaZIpIiEVlUgZIg0iQkUlpBAyZ44kGVNoEBKJhAY0SEjKPDUQkgYUSRn6v97r+1/nt++5Z9j73nvq3nM/z+vVqzp77TV81trnvPeznrVWic2bN282mRSQAlJACkgBKSAFpIAUyFIFSgh4s7Rn1SwpIAWkgBSQAlJACkgBp4CAVwNBCkgBKSAFpIAUkAJSIKsVEPBmdfeqcVJACkgBKSAFpIAUkAICXo0BKSAFpIAUkAJSQApIgaxWQMCb1d2rxkkBKSAFpIAUkAJSQAoIeDUGpIAUkAJSQApIASkgBbJaAQFvVnevGicFpIAUkAJSQApIASkg4NUYkAJSQApIASkgBaSAFMhqBQS8Wd29apwUkAJSQApIASkgBaSAgFdjQApIASkgBaSAFJACUiCrFRDwZnX3qnFSQApIASkgBaSAFJACAl6NASkgBaSAFJACUkAKSIGsVkDAm9Xdq8ZJASkgBaSAFJACUkAKCHg1BqSAFJACUkAKSAEpIAWyWgEBb1Z3rxonBaSAFJACUkAKSAEpIODVGJACUkAKSAEpIAWkgBTIagUEvFndvWqcFJACUkAKSAEpIAWkgIBXY0AKSAEpIAWkgBSQAlIgqxUQ8GZ196pxUkAKSAEpIAWkgBSQAgJejQEpIAWkgBSQAlJACkiBrFZAwJvV3avGSQEpIAWkgBSQAlJACgh4NQakgBSQAlJACkgBKSAFsloBAW9Wd68aJwWkgBSQAlJACkgBKSDg1RiQAlJACkgBKSAFpIAUyGoFBLxZ3b1qnBSQAlJACkgBKSAFpICAV2NACkgBKSAFpIAUkAJSIKsVEPBmdfeqcVtCgWXLltm7777rijrppJOsQoUKW6LYjJWxYMEC++abb2y33XazY489Nm05v/zyi02fPj1tumCCevXqWe3atSPdk5/EP/zwg73zzjsui/bt21vJkiXzk90Wv/e///7LUeeff/7ZZs6c6erRpk0b23bbbbd4nTJR4Pr1623y5Mku6yOPPNKqV68eqpjvv//e5s6dayVKlLAOHTqEuidMon/++cd4vr/88ktbuXKl7bnnnnbooYe6ZyOZ/f777/bxxx/bjz/+aH/99ZfttddeVrNmzZRtod2UsXjxYpftAQcc4J6PsmXLhqmm0kgBKRBCAQFvCJGURAqkUmDKlCl27bXXuiQvvPBC6B/pwqrqPffcY88++6wBpSNGjEhbzU8++cTOP//8tOmCCa6++mo744wzIt2Tn8Rvvvmm9evXz2UBGBUlQORl4qGHHrIXX3wxJsF7771nvXr1cv9/4403bMcdd8yPPIXmXl5MTjvtNFefW265xU4++eRQdZs6dar179/fpZ0/f36oe9Il+vbbb+3KK6+0pUuX5krau3dvO++883J8vnnzZhszZowNHz7c/vzzz1z3nHrqqXbZZZfl6qs5c+bYTTfdZL/++muOe7bbbju7//777bDDDktXVV2XAlIghAIC3hAiKYkUSKWAgPf/gHennXYKBV8XXnihtWzZcosNrKIKvK+++qrdcMMNuUBOwJtz6BQ08DLLccEFF6Qcn0AqEOtt1KhRNnTo0JT38BI5bNgw22abbVy6GTNm2BVXXJHynrvuustatGixxZ4VFSQFslUBAW+29qzatcUUEPD+H/A+8MAD1qhRoy2mfdiCiirwvvTSS87TiQU9l3/88UfM83jggQfGACqsHoU1XWHw8OKpPeecc1yIgbdTTjnF/fOVV16JfcbLHaBNeMzq1atzvcAdccQR5tME9R4wYICRH31IOErQs3vMMcdYqVKl7K233ordUqlSJZs0aZL7XCYFpEDeFRDw5l073SkFnAICXgFvph6FZMCbqfK2dr6FAXiD3nP0IAzh3HPPddIQ4vPII4/EZHrmmWds3333taAnnou33nqri+fHPvroI+vatWvsnrZt29p1111ns2bNsr59+8Y+v+OOO2LQfO+999rTTz8duxbMb2v3kcqXAkVVAQFvUe051bvQKJAf4F23bp0xFYr3jlhYPEIsWMHTww9jIq/O33//bXgsuWf27NluMQ0LXJo3b25nnXWWVaxYMYc2LCojJveLL76wRYsWufTEBx588MFuARf3BS0/MbxRPbzEp3qv2YknnpjLS0a87bhx41z1iOdkahe4wLOGJ5kp4tGjR9sHH3zg2rX//vu7GNB47VJ5eP/9918XHztv3jz7+uuv3SIlvGq1atVyC6fQtHTp0jGJfPn0EX+I2/zwww+dR5DyibkkZGP77bfPNUZZDEicN/3w1VdfuVhP+vzwww+3bt265VjId80117h0PoaUsvAmAkYs0iKuF+P/9GfQ0G38+PGuz/34wBMMuMUvBMtPewr6IUwHvPTPk08+6foKz2iDBg3suOOOcwtFfRx90BNOfoMGDXLVbNeuneuvdIbu06ZNiyVjcaBfiPrbb785gGXRGn923nln511/9NFHbezYsbHYXRZIlilTxuWBx7hJkyaxaw0bNrQHH3zQPffBEAhA2z/v8XHxRx99tIvnlUkBKZB3BQS8eddOd0oBp0BegZcfzksuuSThAhfyPeSQQ2zgwIE5VoSzWp/YQSAlkbGKnB9SIAp7//33XYxgokU0/n4W37AIx9uWBF6mdVlVD5RhrNCvXLmy+zfTxKeffrqrO+3C4wV4AHpPPPGEg1LuT9S2jh072lVXXRVrUzLgpQzS0RfJDFBEU7+zgy+f/vnpp59idQ/eT92or+8Hro0cOdJ4IUhlQ4YMiUFZ/fr1EyZluhuQTbRoDbi68cYbk44PMgQMgT9veW1PJh7/VMC7ZMmSpDswAPx+HASBF50IT8DCLpTs3Lmzff755+4eXgqJueVl5rvvvrNq1aq5l5L4FwyvxYYNG2zt2rWxMczn7NYQjPXt1KmTeybvvvvu2Msc+fHy6o2XMF62vNWoUcOef/75TEiuPKVAsVFAwFtsuloNzZQCeQFePEV4V338HpCCt4ptjF5++WUHWFjTpk1t8ODBsarjEfLXzj77bOfJxPB48sOM4QVloQt25plnui3GAK9LL73U6tata2y1hAeQ6VgPmsGV/vkBXqZq060qL1eunO2+++6xNi1cuNB5NzG8trQRcGMq2W8l9tRTTznPN+YBzWdAOsCYdjHljDcb87GS/DsZ8N53331G3hj6AJloBTQRTuBBmDo1btw4Yfl4c5s1a+aAC2+036ItuJJ/zZo1dsIJJ7j78UrjNQakAea333471qd4iPEUYuwS8Prrr7tV/5j3dON55kUmEfBOmDDBbr/99piWF110kXsxwDPKmAC+sFR6hmlPpp6lZMDLVl+Md+pP//DSx3gAgm+77bZYu6hXEHgZ+zwDGGPTPy+p6n/88cfHnsu9997bJcXr7w04Ja46zJZ93EMIRHC3Ex+ewAsRoQve2K3Bb0PGtnM+JILr8UCcKf2VrxTIZgUEvNncu2rbFlEgL8D78MMP2+OPP+7qh7cSb2HQ+MxPWTP9yTRo8Ecw3ivrf9ABJAwvIDDgQZIf3aDHiDRMeXsw5gcZEMPyA7xhBAf0CAMIWhAKAAI8t3i3MbxheMW8BYEXoItfTY8nz0MnYMiUcyLgBVD9FHf37t2tR48eOeoUhKWLL744FocZLL9Pnz6GR9Ab4SZstwYgsWiJqW7fx74/6Zv4cIdgnYNT28lieBPt0sBLFNP7GOMFSA/uN0z4DGEhtDvYB3lpT5h+zkuaZMAbfB7it/4LvkxQZn62JaP/jjrqqFBVD8bcJruB0AhCJLwxU8FzR7gDL53M8HgLjqV4GCYNHuBknuVQFVYiKVDMFRDwFvMBoObnX4G8AC+LWPAeJovNw9OLpxY4YY9bvI94gHzoAUAXnC6nFStWrHBgV7VqVQdbhD/gJQSU8RTHH7bANC1eMwwAx8OMbQ3gBTRoZ3BlPHVBH6b5OVAgEfAG4yv99c8++yy2yIjYXLx0iYAXjzD64GWtU6eOi8cMWrAP8Hr27NnTXQ4CYtAr5+9lGzFCToLeWuKomRJnqpp43XjDK43uWDDPKMBLHDH1xIhrpk3xhvfYzxh47fLSnvw/NYlzSAa8/oWAeHOvUzAH4ltpM5Yf4E202wKQSYjMpk2bYt53yuFzQnASxWpzPfi94OvqX175P+OPcAterLwxZpgBYVu0eGMWZ5dddsmU9MpXCmS9AgLerO9iNTDTCkQFXn448cBhQc9hfD2ZssaT58MafAwoU9SvvfZapGYBdiyAYrET4AVYBn9oCwp4mWr24Jysgni3Eh2UQB2DsaUAPd6weLAPxpzi+Ys3QNWHHwBHQFK6bckAHfRAG69VEDrwIuNNxnz51CvRCXPE6dJXxHr68ApfRyCHcvC+0xeUxYuPDy0hXV6BNxjOEPQSB/UJ7hjgwxry05547WkbYJbICOlId7peMuBlQSMa8Uz4WYtgGfQDUIzlB3iDz6bPn5kGwhyweK8scbjeqx6sDwsxeRaCxgwCMwlBC76cpXugk/Vpuvt0XQpIgf8pIODVSJAC+VQgKvAyXQ/EYtdff72LP01kN998s9t/04OT9xwS/pAI9BLlwaIdoC/VoizuKyjgjbpLQ3ydOdnK70HKXqXE4cabB7Rk3j7S+wVfeMbxHCcDXmKoWcXvQ0GSDYVEwJsIaL2WhKvEX2ec4K0Owm2i8vIKvD4sJFW8ZxAo/QI5r2fU9iSqeyKvpk8XJgQgEfAGX2AID0h0dHAQ5PMDvNSVMJfgQshgCAqx5UEPfSIAx+tLTH7QgjME8brx4kPcNTtPeCN+l1ANIBdL9nKVz68u3S4FipUCAt5i1d1qbCYUiAq8wRXYl19+eSysIL5uLMZiQRPw9thjj8VWdTNFHzxmNlmb+CEl9tX/eAM05MXfTHfjafWwHZxqzU9IQ36AN37/03gQ9+30gMYCt0S7HmzcuDF2+IX3ziUCXtIBsn5FPp5zvNPEt7IwjEVRrK4HivEq+kVieQFEoAmY90Y/HHrooa4cXmCINfZwT58zrY1FCWkgLhqIxdimLRgG4ssNehRZDMcCw7y0J9mYY5FhcJFlMB1jPd2hJMk8vB5CEx3pSxnBsZNf4CXMJxhaEx+2ElzUFr8bCC9OLI4LWnAf31TfP4A9YUlVqlRxR18H6xHlJTcT33HKUwpkgwIC3mzoRbVhqyoQFXipLDs0sL8qwImXN97wJOHlwRvYqlUr5wEKxnkmmt7kB5NFMOwPyo8l8OF3bgh6cH1ZwZjg4C4EWwN4g7tWsAUTLwUs/MKzxXZMwRAID2gsAGJHi3hbvHixWziGTZw40cU0JwJePGo+LpepZv4EITHoifdx1OSZF0D0MdtANQsEqXvQfBgEnwXjkqMAb/CYWqbU99hjj1zaBA9I8Iu/8tKeTD1wyYAXWEYXXkDiQwWoSzCcI7/AC7AGPf7BZyPobaZctrQDerHgFmhen/79+7tnPZGtX7/evZgQY89zzoyG3yOZ/xPG4c0fVpEp3ZWvFCgOCgh4i0Mvq40ZVSAvwOvDFagYP65AatCCHkF+4PmhDwJaopOXgvfgAQZcgd5k06FANKCABfd/3RrAG9ylgIVVLLjzux/gUfM7NgSBk38nAvk777wztmcpmrFYLxHwssjJb+bvwTjYB0E45MAGPHV5AV7awiJCrHXr1kbfB429W7t06RKLqQ5OoQP03vMb9Nom2qUBjz5H1WJ+r9dgOdSDz/02df5Y3KIAvMETzuKfl2C7aG9+gRedgzt2sHCSWF0MrzgHX3jz44/YbKDUb/vGdV7cCKmJN17e8NgG4d6PDUIheNllq7Xgyxwvu+ninzP6JafMpUAWKCDgzYJOVBO2rgJB4MU7lMiz5mvI/rM1a9Z0C5Y8nDCFDtAxlYkBaXi0/IELLC5iJTg/hMQCspiKOE08T2wlxo8t9xDjy/S73x2ALcdY9IUFgRYvFTHAfls0rgfjK/MDvIACm/WnM+rvt2ILxjwGF/YEdw9g31O21MKCn+MxRQcPA3iDAV4suCAwEfAGt4wCOPH2ctIV3mWOfQ2GILCYzp/klRdA5IUFGKLd1NHvQ4xnm3x9rCb1BrT9daAUL6Hvw/3228+t1AfKEu3DG3yJwfuIpxuvNX3OeCAmHAt6JvPSnnT9m9fryTy8fM7exTwTjBsAdNddd3Vjn72Ug4sDg8C7fPny2PZ+eFD9YtF09QsePkFaXhoJgQnG9vKcsSc2Yyb4Mpoub55Zvy+vn+nx9zCeOdUvCM7xe3Gny1/XpYAUSKyAgFcjQwrkU4FUC3Xisw6CU3CLKNLhEWKa0y9q4scPMA0CNN45psf9Dy9T40Bu8IfYT1XHH09KWiDBL2DjR9wffBEEzfwAb1gpfRxy8BQqoJU4VH+ML5AG5PhN//F40Yb4gye8dsCjbw/hIECyD1FIBLzsS4tXzt/jj1tGN6+n1ygYQ5kXQIzva15y2IrN75RBX/t+Z+9e7xEmvji4zy9t5SVm1apVCYGXtrBHswcm2oTWwZjU+N0C8tKesP0cNV2qk9YA2eAuB4wX2hl/0l5+T1qjzuhFeJAfG4naQZ8CvVhwViFdm4PAG9xKLtF9fCfwsrrXXnuly1bXpYAUSKOAgFdDRArkU4GgFy5dVnh0vMeOtPzg4V0lntcbkMU0Kt7c+FhP0gA7ePKCR5HyOd4rDmngR9IbcZ14j+N3BsDzh4eQBUaAZHAhHKc/sfG9XyyXrk1RtlbyefmjUv3Wa3weBAifLgjtLChjCjkIaHjt8PAFjVX8ffv2dYvyvAXDPd59990YVAOcwEr8LhYsrurXr59Rvl9xz4sNLwx+N4TgPrvB8gFWpr6D15l2Z6syf/iETw+QMu0NeBOrDWBxMhhleyMvwi882NFn3Ofjj4H5HXbYIZaeEAkWIcZviQZoUUZ8TGle2pNuTOT1Oh5Zwj6wZGE7eHeD45lxGjyIJQi8wb2mwx4t7OvOVnXUgUWEQeM5C87kMPPSpEmTlMd3B++Pf654jnnJDHp16V/24WYc+AWMedVU90kBKfA/BQS8GglSoBAowAIp9oAldIFFVmGMPUO5h6lWgDXZBvhM+7IwBlAG2PAYc/pYUbV4jyTt44WBv9GuQoUKkZoGsLAFFAdQABdoySr5TBhea8rBu+w97mHKAZiBPEAoWT/H58M9ACQQjTfUH1sbprzCnIZ+xhO8du1aFx5UsWLFjFaX54yFkBgvapnQkTaxQwN/8Pbj0Y0/KCajjVTmUqAYKCDgLQadrCZKgWxSIN0UfDa1VW2RAlJACkiBglFAwFswOioXKSAFtpACAt4tJLSKkQJSQApkkQIC3izqTDVFChQHBQS8xaGX1UYpIAWkQMEqIOAtWD2VmxSQAhlWgMMYXnvtNRdr67cKy3CRyl4KSAEpIAWKuAIC3iLegaq+FJACUkAKSAEpIAWkQGoFBLwaIVJACkgBKSAFpIAUkAJZrYCAN6u7V42TAlJACkgBKSAFpIAUEPBqDEgBKSAFpIAUkAJSQApktQIC3qzuXjVOCkgBKSAFpIAUkAJSQMCrMSAFpIAUkAJSQApIASmQ1QoIeLO6e9U4KSAFpIAUkAJSQApIAQGvxoAUkAJSQApIASkgBaRAVisg4M3q7lXjpIAUkAJSQApIASkgBQS8GgNSQApIASkgBaSAFJACWa2AgDeru1eNkwJSQApIASkgBaSAFBDwagxIASkgBaSAFJACUkAKZLUCAt6s7l41TgpIASkgBaSAFJACUkDAqzEgBaSAFJACUkAKSAEpkNUKCHizunvVOCkgBaSAFJACUkAKSAEBr8aAFJACUkAKSAEpIAWkQFYrIODN6u5V46SAFCiMCvzzzz+uWqVKlcpVvc2bN1uJEiVCf07CZPcURNszmXdB1E95SAEpIAXCKCDgDaOS0kgBKVDoFFi+fLm1bt06R70qVapkHTt2tPPPPz9f9X3ooYfs999/tyuvvNIaNGhgL7zwglWvXj1hnsDrE088YWeeeaZtv/32acv9/vvvrVOnTla7dm13H0Yew4cPt9dee83+/vtvO/HEE6179+5WtmxZW7BggY0ZM8ZmzpxpjRo1svbt21vTpk3dfbNnz7Y77rjDVq5c6T678cYbbccdd3TXLrvsMvv6669j9aEdN998s73//vt200035ajnfffdZ/vvv3+Oz5YtW+by++STT1xduTc+TdrGKoEUkAJSoJAoIOAtJB2hakgBKRBNAQ+8Y8eOtcqVKzto/OKLL6xPnz527733WrNmzaJlGEj94IMP2rp166x///720UcfOdADPhPZ2rVrrXnz5jZ16lTbZZddkpb533//2VtvvWX333+//fjjj3bIIYfEgPfVV1+1G264wTp06GDbbbedjRo1yq655hoH9KeccorLE4ifOHGiLV261KZMmWKlS5d25daoUcNOOOEEGzZsmLVr186uvfZapwWAu/fee7tysFq1alnnzp3tySefNNrXokWLWJu6detmVatWzVH3rl27uraj52OPPWa77rqrPf/887bNNtvkWVfdKAWkgBTYWgoIeLeW8ipXCkiBfCnggXfy5MkOeL2deuqpDhwPPfRQB46A64oVK+zxxx+3b775xoYOHeqA84gjjnBAu9tuu7mQALy6ACVgt/POO9tee+1lV111lcuLa1WqVLG5c+c6Tyzez+OOO84uvfRSl8c777xje+65p4NOgJL6AIxBW7VqlbVq1cqOOeYY55kNAi+eXsrg7x122MGB63nnnef+fuWVV2zfffe1Y4891rXh4YcfdkD/559/OkjGC3vaaac5DzPtmz9/vvub/+NJpjxg18P41VdfbdOnT3dlEVIBzMdD7E8//eRA+6STTrJbb73V8AA/9dRT7s8BBxyQr37TzVJACkiBraGAgHdrqK4ypYAUyLcC8cAL2M6YMcMGDBjgQhCY5r/ooosMAN5vv/0c+PHvHj16OO8n4ArE4hF98cUXHXBed911BpgOHDjQwSbA60MagEPA8sILL7QmTZrYnXfe6fJs3LixnXvuuc4LWrduXXv55ZcdtB5//PE52kj93nvvPedZrV+/fg7gpa4XXHCBA3Fsp512cuAc9Lr+9ddfds455zgPLxA8bdo05y0eMmSIqwchDG+//bbTYM6cOa4tQRsxYoTVq1fPhUtQnjdCIQYPHpwjLWEMeJRpF/kSUkE5vqx8d54ykAJSQApsYQUEvFtYcBUnBaRAwSiQKIaXnNu2betgj1hVgBf4IxwBaMPji5eSRWHffvuti9EFEC+//HI3/X/FFVe4ygGfNWvWzAG8TO8/8MADDjS5f/HixbZ69WrnIQ0T0hBsdTzwArGA9K+//uqSEdYAzB522GHu/4QoEOJASAQxyoD4I488YkAs4QkNGzZ0bSDOF483becaMIu3GaAFwPHWEr5AeAX54NGmXc8++6yL0/UGmPfq1ct5qS+++GJ7+umnnVf59ttvd15qmRSQAlKgqCkg4C1qPab6SgEp4BTwwIs3ljCEbbfd1sEd4QgY0If3lul7DGAD3OIN2AN0WSTm42UBWxatBT28eFWB5EGDBuXIImwMbyrgxSuNZ5i6UH9icoFivMbA6S233GKTJk1yYEt4AfG7xC4Dsvwfj/Mll1ziQi4IlwCYg+bDHfAAlytXLnZp1qxZ1rdvX+vZs6cDbm+ff/65i/fFo8z1kSNHOtj3cK0hKAWkgBQoagoIeItaj6m+UkAK5ADe+BheL0888LIwbPTo0Q4qMXZDWLRoke2zzz5u2h5Pbe/evd014lwJSwgCL2kJeyD8AcPDS7xsy5Yt8+3h9QvE8DaXL1/eeWaBeMry8b3E/AKcHmZZuAbQA+vE6hKugYcY4H399dftww8/dF5adm3w18aPH2/jxo2zatWqWZs2bdziN/KgvWeccUZsZBHzfPLJJ7t6ANV4didMmJDLE6yhKAWkgBQoKgoIeItKT6meUkAK5FAg2aK1ZMD722+/uYVmbOPFAjC8lnhtn3vuOQeBxP2yoG3Dhg3O20usaxB48bxyH3GseF9ZLMZCNcImiOMlJpgYXiAYKD344IOT9lh8SANQiceW0AgWlwGmeF1ZMEedMUIOgGCMBW38n2tsxUa4At5rv0uDB9mjjz7ahWpwDe+13wmCRXfAMO3n34Q2EDYB+BMSQvwuHl48vWiBp5m2kq5kyZIaiVJACkiBIqeAgLfIdZkqLAWkAAqkA9558+a5HRR8SAP3+MVXHiCJ4T388MMd7AGDbC2GAassdOvXr1+OfXjxEBNbi7EnLtDLLg/eQ8suCiw2Y4cH7k1m8cD7xx9/2D333GNvvvmm232B3RHwNtMG6hVvxOKShjAIwiF8e4Bxv0Xb3Xff7fb1JT+8w/wfYCZPPNUsTMPw8ALKfmcHv1AN2KUOeI0BeKCcnS1kUkAKSIGiqICAtyj2muosBaRAnhUAbgFMf0BDMCM+L1OmjIuRTWbcD0TGHzKBZzgYH5uXCm7atMnBd3wMbqq8SM8OED52OZg2WV1Jg8e7YsWKKffVZbu2NWvWuF0jtP9uXnpU90gBKVBYFBDwFpaeUD2kgBSQAlJACkgBKSAFMqKAgDcjsipTKSAFpIAUkAJSQApIgcKigIC3sPSE6iEFpIAUkAJSQApIASmQEQUEvBmRVZlKASkgBaSAFJACUkAKFBYFBLyFpSdUDykgBaSAFJACUkAKSIGMKCDgzYisylQKSAEpIAWkgBSQAlKgsCgg4C0sPaF6SAEpIAWkgBSQAlJACmREAQFvRmRVplJACkgBKSAFpIAUkAKFRQEBb2HpCdVDCkgBKSAFpIAUkAJSICMKCHgzIqsylQJSQApIASkgBaSAFCgsCgh4C0tPqB5SQApIASkgBaSAFJACGVFAwJsRWZWpFJACUkAKSAEpIAWkQGFRQMBbWHpC9ZACUkAKSAEpIAWkgBTIiAIC3ozIqkylgBSQAnTSVCwAACAASURBVFJACkgBKSAFCosCAt7C0hOqhxSQAlJACkgBKSAFpEBGFBDwZkRWZSoFpIAUkAJSQApIASlQWBQQ8BaWnlA9pIAUkAJSQApIASkgBTKigIA3I7IqUykgBaSAFJACUkAKSIHCooCAt7D0hOohBaRAsVfgjz/+sDJlyljp0qWLvRYI8Ndff9nmzZutXLly0sPM3nnnHZsyZYoNGDBAepjZf//9Z7///rvtsMMO0uP/K/Drr7/aTjvtJD0SKCDg1bCQAlJAChQSBQS8OTtCwJtTDwFvTj0EvLm/uAS8yb/MBbyF5IdO1ZACUkAKCHgFvKmegtmzZ9vU54ZZ61bH62Exs8222Tb+tdHKli0rPf6/Ahs2bNhqMyIlSpe1es3bW6lSpQplfwh4C2W3qFJSQAoURwUEvALeVOP+lVdesV8mX2sNd/61OD4eanMhV+DLv/eyQ3uPt6p77VUoayrgLZTdokpJASlQHBUQ8Ap40wHvP9OutRN2X1UcHw+1uZAr8OHG6lbtQgFvIe8mVU8KSAEpsPUVEPAKeAW8W/85VA3ypoCAN2+66S4pIAWkQLFTQMAr4BXwFrvHPmsaLODNmq5UQ6SAFJACmVVAwCvgFfBm9hlT7plTQMCbD21XrVrl9qTcfvvtY7l8/PHH9sMPP9iuu+5qRx55ZD5yz/utbPvx3nvvuT0iGzVqZJUqVUqZ2ddff22LFi1y6Q4//HBL1oZly5bZhx9+6FY4tmzZ0u3FmeizvNd86975888/2/z58127WrRosXUrk8HSGZ/0cYkSJezEE08ssJL+/vtvmzZtmsvvmGOOsYoVK+Y7788//9y+/fZb22OPPaxevXr5zk8Z5E8BAa+AV8Cbv2dId289BQS8EbX/5ptv7Pnnn3dAuX79end3yZIlHSBdeeWVdvPNN9ucOXOsdu3a9vDDD0fMPf/JX331VbvvvvtiGfXv39+aN2+eMuOHHnrIJk6caAcccIANHTo0YRtuu+02mzlzZiyf8ePH24MPPpjrsx133DH/jchDDo8++qiDuBNOOMHatGmThxzMZsyYYbfffrvrTzZPL6zWt29f27hxo1188cVWp06dyNVkJfX999/v7vOAGjWTN9980z0H1atXt6uuusrdvm7dOmvXrp3797Bhw6xmzZpRs82VftCgQa4vgN2777473/kpg/wpIOAV8Ap48/cM6e6tp4CAN4L2v/32m3Xs2NGdnsK+egcffLB9//33tmLFCufRfeaZZ+yTTz6JeXiPOOKICLkXTNJevXoZUN6sWTMHfpUrV7ZddtklEvDGtwFP8WmnnebaDWTVqFHDatWq5eAm+BnwtbX2twMCP/30UzvllFPssssuy5OYRQV48a6jOy9XjRs3jtzWH3/80b0cAPbklRcbO3asjRw50o2vMWPGCHjzImIRvEfAK+AV8BbBB1dVdgoIeCMMBDyceDoxPE+HHHKI+zdTxNOnT7fzzz/fAIGpU6e6cAbgsGfPnsZGy/F2xx132J577ukAGU8p07YYINmvXz8HlYkMz/IjjzxiQAtT73hl+/TpY1WrVrXrr7/eeZ4xppP33ntvGzJkSK5sOOrw3nvvtblz59o222zj4J3PvIc32IYuXboYf3755ReXD2EPhEnMmjUrx2dNmza17t27p2wP4RB4FsuXL2/nnHOO04qXAnRLpYO/j/ARQi7wYtN2gPvMM8+0p59+2kaNGuUgkM932203B+ht27bN1fZU5SQC3rD1Ouyww2zy5MlOzx49ergXIPqJl6GTTjrJjQP/MkA66rxy5UpX36OOOsoAdvrMa0//c2TpvHnzbK+99rKuXbu6dPF9zD1XX321G0t4XN9//303ljjq9MADDzTGWbwF+4FZiHT6xt+/YMECu/HGG13IDFalShU3o9G7d++YhxftGSNr16614447zngR88evpmp/fFnew1utWjXXxng9SA+E4eF/++233azLzjvv7Pq+Q4cODuqvuOIKW716tV144YV29NFHu+NP8UDTRzwHGLMyPMO0jecVkKfODRo0cP3EzMdHH33k2swzQB83adIkwrdHdiQV8ObsR520llMPZo+0LVl2POvZ2AoBb4ReBST40fS27777GqCDlwwoweKnYPnR9aEPxDh6e/LJJ920NCCEAYzk/9133znwGTduXK7z6j/77DMHtxjTxUAoXmeA9dlnn7U777wzB/BSJ36o4408yAsDDsgDWPTAG2wDXsR44G3YsKFxok4QgvnxP/7441O2B6ggZCBohIIArql0SHSfzwOvOlPeo0ePTgu8ixcvDlWOD2kImz7ZECIfdMUAT+D+hRdecHAG6OKFf/fdd93LBmDFy5TXPj5PQkUII0kGvOT5xRdfuJeJgw46yI0jYDtRyEI82Pv/J2oH+gKGQQsDvKQPtp+wB/o6Xfvj65BOD9ID2rTdvwDivcYYt506dXIzHTyDpGvdurV7MeFFEK0I5Vm4cKF7ycTq1q3r/ma2gNmcs846y84++2zXR+jKPf6lcvjw4S6koziZgDdnbwt4c+oh4C1O3wZFr60C3oh9RhxhIojAA8ePY7KYQ7xPAwYMcKV169bNeSZvueUWB454rvhxJgbSAypxtQB10G666SbnncILDOD8+eefdvrppzuowkOIJ5E/gHWy2F28VfyAYxdccIH7UY+P4Y1vw9KlS533FgO6gK9En6Vrz/Lly2PAi/cb2CbcAghKpYO/D4DCi8nfPk6X8AXCGMKENIStnwfeKOlpAy8A9C2G/gBt586dnYeQ+tJmD1+84LCw64MPPrDXX389FjfstaeP6RfgkrwwvNh4UxOFNPh+96EmhJfgXeUlJt6SAW8qfePzSBfSwMtX/fr1nSeUsULoBS9P6dqfDHiT6UH68847z912zz332KGHHmqPPfaYG6ceaNMB74QJE5w3HuPZYOYGkAXu8PATE4829AML/QYOHOieMf/MR/wKKdLJBbwC3lQDWMBbpB/vrK+8gDcPXfzll1+66U+mgonhxfhB9IuB4hfZAC1+YY8HHw+ceOISGXBM6EDQ+IGlPOAGwMOAbKZr8SQDpemAlzozBY4BLUzPFhTwAtCp2rNp06aEi8Lych/txTNNm/l3GOCNWk7U9P/++6+1atXKacuLEQutmE7H4wik4mE8+eSTk464l19+2fVFcPysWbPGvRxhfiFYIuDlBQjoDhrT97wkxVsq4PWL9eL1jc8jHfD6ugK+LHBDCzzY6drvwx58efEvX/F6sFMKXm/sxRdftAoVKriFlD70iPYQ3oCH99JLL7VTTz01l4eXPIDm4AwMsybMRjC7ABAnMrzF9GlxMgFvzt6WhzenHgLe4vRtUPTaKuCN0Gf8cBM7i1d02223dXcSi0l4AkZYAf8OAgtwjBcSLywev+uuuy5W4jXXXOO2wcJrFww9YFsx4lDxUAUNaAae8ZzdddddLk+8m/xQX3TRRe6HPR3wAonADObjkAsKeNO1h/jLRLsg5OU++gCPajzwAoPslpHIopYTNT394ReBeeClLsR++nr5/uFvXmC8sSUaHv14wAv2VzzwAnp4ijG8yORB3Cw6M04xQBjvaNDCAG+8vsmAlxcm4BdLtEuDnxHxuyyka398Oen0ID1eZAzPLrHPzAKgFSEOxHvzXBCSgPeWeHH/Yuo9wAAvoI2nnZcTQhboS+pMqAkaYnjY/TNJOBJpiPUtTibgzdnbAt6cegh4i9O3QdFrq4A3Qp8RVztixAjnzd1nn31sp512cl5egJNFNVwL/kAzJc6PrfccsbCHRU0YHkkWu916663u//xQM5X6008/uR/cRNs64VVmOhXDUwzUADcYK+X58U0HvKTFm0WYAO0AnoHuZDG8AEvYkAZgK1V72LM3EfDm5b54IEN7+gfPHF5E4DF+O7ao5URNHwZ4mR4HwjDiRYnF5qWIeGE+Twd4pCfemfSEwrCID5hmgRWx1eTJuCJOFeMFzMeX+6FeEMAbjHvFa0qYCwsF47cliwfedO2PCrw8dyyAZJaDF8djjz3WnnvuOffMETPMS6IPTfHPLXtO01ceeAHat956y8Wg80wTDsHLFGEYvEiee+65Lj1tZOEgMxWEFvG5f3mM8DVSpJMKeAW8qQawgLdIP95ZX3kBb4QuxlPHD7b3nvlbmTrGi8sPYhBY8Oa2b98+YQneu8o0Notf/Ip3EhPb+sADDyQ8MAKAwavsDcAjttCHP4QBXn6sCZngRxwIwEvHAqdEi9YAluBiPR/Dm+gz6pSqPRwikGyf26j3xQMvAE8f4BHFggvhgh0QtZwo6cMALyDGzgj8MAQtmfaJPLzEgw8ePNh5LTE0ZbcBv4iQz9i1g3CXRAdoFATwsoPEJZdcYhxaggGe1Ckd8KZrf1Tg5QWAMBp2jWAMeAP+8dBvt912bgEa4x0tGe94vNm6zwMvLwfMsPgFhjxTvHzineeZxuuLvsH88R7jYY8PO4rwdVIkkwp4BbwC3iL56KrS2pYsb2OAWE1iCTFWsPMjml9jgRF/+IENntyWKN9//vnH/fiyTRewykKaqAZ4MAXOCVbe6xw1j1Tpo7QnmE9e7/N5MD1Ne/DUpdIlajlR06fTEriirvQDC/fiY1fT3c91xiChNf5EMxYx4ukkHCYv+YUpMz4NuuDxRO8oezAXRPvj6wLQAv2M6UTt55nZfffdE4536oOe9Aee4kTGdmX0GaDMS2lenru8aFyY7hHwCngFvIXpiVRdoiggD28UtZRWCkgBKVCMFRDwCngFvMX4C6CIN13AW8Q7UNWXAlJACmwpBQS8Al4B75Z62lROQSsg4C1oRZWfFJACUiBLFRDwCngFvFn6cBeDZgl4i0Enq4lSQApIgYJQQMAr4BXwFsSTpDy2hgIC3q2husqUAlJAChRBBQS8Al4BbxF8cFVlp4CAVwNBCkgBKSAFQikg4BXwCnhDPSpKVAgVEPAWwk5RlaSAFJAChVEBAa+AN9W4nDJ1qn303ACrs+f2hXH4bvE6sV85Wx5mYuvPLd6YAiqQbV23lh5/lKhoLXo/6raVLIxWYjMjRiYFpIAUkAJbXQEBr4A31SDkUCNOjLymf/+tPlYLQwWAXZ6ZdHvrF4a6bqk6sF865w1sDStZooQ7jKiwmoC3sPaM6iUFpECxU0DAK+BNB7xTpkxxJxvKzHl3ORFzhx12kBz/X4Fff/3VHVQky62AgFejQgpIASlQSBQQ8Ap4BbzhH0YBb26tBLzJx4+AN/yzpZSFWIHPP//cvv32W3fsbb169bZ6Tf/66y/74IMPbMWKFVanTh074IADctUpPg3H7v7www/uOO0jjzwyY23gyOv58+db6dKlrUWLFhkrRxlHV0DAK+AV8IZ/bgS8At7wo8VMwBtFLaVNqUDLli3dFBP20EMP2b777mvEE3Xo0MF9NnbsWKtUqVJGVBw0aJAx1Qfs3n333RkpI2ymy5Yts27dusWSA5VXXXVVjtsTpfnzzz9tzpw5Vrt2bXv44YfDFhc53YwZM+z222+3kiVLOs1khUcBAa+ANx3wTp482foXghjeEiVLWPntym/Vh0fAK+CNMgAFvFHUUtqUCgS9hVWqVLEnn3zS1q1bV+yA95FHHrEJEybYnnvuaVdeeaWVL1/eatSokUO7RGmAHe/hPeKIIzI22gS8GZM23xkLeAW8qQbR1KlTbeFb/a3OPlt/YdC6DeXs+I5jbbfddsv3uM9rBgJeAW+UsSPgjaKW0oYGXhJecMEFhtc33sN7xRVX2OrVq+3CCy+0o48+2lh5PGzYMDeVf++999qHH35o999/v5UpU8YOO+www6PBNis9evRwaYBFQgVOOukk69mzp5UqVcq8hxfIrFy5si1YsMCt3O3bt681atTI1fuTTz6xBx980IU+YLVq1bJ+/fo5GPVlAqfnnHOO80YDneeff36uNuOdpX5ffPGFsQUMYRS9evVyYQhPP/20jRo1ynm6CRngx+Cee+7J4dlOlmbatGnGDxr5XHzxxa4O/L9+/fru/unTp1v37t3ddTQhn5UrV7pyjjrqKNfWihUrxu6rVq2abdq0yWnBql2uky4R8KLjjz/+aIRZkF/VqlWtT58+sVAMyhk+fLjNmzfP1q9f77adad++vetbrg0dOtQ++ugjdz91pa+aNGnitMNrTd2px4YNG1z/oFeDBg1yaTtx4kR78cUX3cvCHXfcUeyeOAGvgDfVoH/llVfs7yWX2AmHfLfVn42Pvq9mexw9w2pUr77V6iLgFfBGGXwC3ihqKW0o4AVoAFKmzB944AEHb5gPaWjTpo2Dpt69e1vr1q0dvA0ZMsR5QgEeD2TJCiNfHzoBFAGmHni5B+hj5S4GvLGNz+LFix0cY02bNnXQ+91337m048aNc1DGNH/QEoUiACRnnXWWAzugj9XBS5cudbcBfYDz6NGjUwIvOiRKw2fBsIxgm3y9mMpkUcKjjz7q2tasWTN79913XXsByNtuuy2tFomAl7YCyIDxV1995drHi8Bjjz3mIPXcc8914SkYMAwc88LAC8rZZ5/tyj/ooINcH7733nsuHYDMPbxUYHXr1nV/f/rpp9axY0fr2rVrri6mvPHjxztt6ZfiZgLenD3OOGTnzHLlyhW3oZCwvQLenLIIeHMPEy1aS/5VIeDV12iBKeBDGtgy584773TQBEQBlnkBXsD2hRdesF9++SUWEwvwAXmdO3d2nkXgGaD2cAh03Xffffb111/HQBs4BDJnz57tPIddunRxoRYAKka88fLly2PAS34A1y677OIWnAVt0qRJ7j7qBpzzQ4w3c8mSJc5bfdNNN9k111zjFoUlAmafV6I08XHI/v/UBTjE473//vs7cOeFAXA/5phj3OK4119/PRaTm0oLPOl4qONjeIFaNPjyyy+dJ3bmzJmxPlu4cKHzUnutiM2m/Llz5zoPMnqjB31TokQJGzhwoLEAz9cZjzwGGB9yyCFWvXp1t3cm4Bxvb7zxhoN+vOZ4pIubCXgFvKnGvIBXwJvuO1HAK+BNN0Z0vQAU8MALHAGpQG/Q4j28l156qZ166qlJPbx+URVhA61atXJZsSCNhWmERXz88ccuZII42USL1nx9KOfll1+OgXd8UwF0wC3MQi4fe8u0Pe3BfNneI1rQwBtciEc9Tz755KS9RTsB+PgFfEEtCPUItpUvSMIXAN54Iw4byCcm2Xvgg2m8HokqhPceb/h5553nANhb2bJlXfne41sAQy9rshDwCngFvOEfZ3l4c2sl4BXwhn+ClDLPCgSB99BDDzVAE4+hNw+8bdu2dVPgePyIkcVrQUxsfEiDB16+1ADbIPACucSMJgNevMrEEGMALSCI15XFdN6zyzW+HIizJTY1DPAy3c60O+EE1Js6esA9/PDDHeRnEnipM7HLACR/B8MC2G4M72s8/Ae1uPXWW53nPdjWZ555xp544gmnP7tD4LU+44wznHYA7/vvv+/iprHnn38+tsk7oRyEcOBBx4hdJg9s48aNsSM/yQ8PNC8ohDvQn8l20yDOGo8yG6efcsopeR6LRfVGAa+AV8Ab/ukV8Ap4w48WbUsWRSulTaNAPPCy4wDhA/HAe8stt7jwAmBxn332sUWLFjkIKgjgJY+GDRu6KXmgEG/ic88954AW2MPwxDK1/tNPPzkASzbNn6i5eEHxWGLEDgPQL730kvs/U/rNmzfPOPASQkBcMoaXtGbNmu7FgjhlPvfAixbE9aJ1UAvaHAReQjPwCtMfxOp+9tlnTi8PvMA9n/s+IpSCOF/SE8LhrxH/y6I4vNAsROTzNWvW2FtvvWXHH3+8g1heGPD+N27c2G6++eZcEiuG9w8XuoLmMnMvZ4rh/b+RoJCGnE+FgFfAG+V7UjG8UdRS2pQKxAMviVm4BHBi3sPLoiW8rixoAppY/PTNN98UCPAGF7SxIA3I9XG4eHmpDz+i3oiPZWEdB1eE8fBy39tvv+3iVIP5sLODB2HAl7jaVDG8idIki+GN94YCr3hi+fELGodb4L32+cRrwYsGMc7xi9Zox2WXXebikDH6A3jGRo4c6eKeieslnITdNbz59uG5ZfFaMCQCYLv++uudB506+UWGvIDwsoGHPtF57368sBsHnufiZvLw5uxxAW9OPQS8At5034kKaUiukIA33ejR9YwpACDtvvvubsuxgjR+JDnEAZhNZGvXrjX+AFzEs+bF8DqxaI6pe7y8bI22pQ2IXLVqlfPessDOr2QPgjMvFmjB9XQGzNKORCDq7yUUhRcVtPXhC/4aC9+oD59znQVsGPXE00s90UqWXAEBr4A31fMh4BXwpvv+FPAKeNONEV2XAlmjQGE6dS5rRN1CDRHwCngFvOEfNoU05NZKwCvgDf8EKaUUKOIKEGJAXDShCIkOdyjizcvq6gt4BbwC3vCPuIBXwBt+tGjRWhStlFYKSAEpkFEFBLwCXgFv+EdMwCvgDT9aBLxRtFJaKSAFpEBGFRDwCngFvOEfMQGvgDf8aBHwRtFKaaWAFJACGVVAwCvgFfCGf8QEvALe8KNFwBtFK6WVAlIgQwr8888/btcLdndg67LiagJeAa+AN/zTL+AV8IYfLQLeKFoprRSQAhlQwB824bNmr2AOtEi1PVoGqlEoshTwCngFvOEfRQGvgDf8aBHwRtFKaaWAFMiAAuPGjbO9997bOI76+++/tz59+lj79u1zHJucgWILZZYCXgGvgDf8oyngFfCGHy0C3ihaKa0UkAJbQAFOaFuxYoWNGDFiC5RWuIoQ8Ap4Bbzhn0kBr4A3/GgR8EbRSmmlgBTIsAKcxta2bVtr2rSpO364uJmAV8Ar4A3/1At4BbzhR4uAN4pWSisFpEAGFeC45htuuMHmzZtnY8aMsUqVKmWwtMKZtYBXwCvgDf9sCngFvOFHi4A3ilZKKwWkQAYVGDp0qE2ePNk4Gvnggw/OYEmFN2sBr4BXwBv++RTwCnjDjxYBbxStlFYKSIEMKMCP1sCBA23GjBk2ePBgq1OnTgZKKRpZCngFvALe8M+qgFfAG360CHijaKW0UkAKZECBa6+91oUxsFitRo0asRL22GMPK126dAZKLLxZCngFvOmAd/Wnva1R7eVbfRB/tbKKHXTim1ajevWtVhcBr4A3yuArsZnAOZkUkAJSYCsp0KZNG1u/fn2u0tmfNwjAW6l6W7RYAa+AN9WAmzV7lk2f/IidfOLxW3RcJiqsRInSdlijTlaqVKmtVhcBr4A3yuAT8EZRS2mlgBSQAhlUQMAr4E01vN555x2bMmWKDRgwIIOjsOhkLeAV8EYZrQLeKGoprRSQAlIggwoIeAW8At7wD5iAV8AbfrQohjeKVkorBaSAFMioAgJeAa+AN/wjJuAV8IYfLQLeKFoprRSQAlIgowoIeAW8At7wj5iAV8AbfrQIeKNopbRSQApIgYwqIOAV8KYaYLNnz7ZJz420Dm1PLZBxCDDuUfMA27vG/gWS35bORMAr4I0y5hTDG0UtpZUCUkAKZFABAa+AN9XweuWVV2zN5Gut0c6/Fsgo/PMfs6U1ulqbnkVzEZyAV8Ab5UEQ8EZRS2mlgBSQAhlUQMAr4E0HvH9Pu9Za7r6qQEbhH3+bzd+rl53Y7YYCyW9LZyLgFfBGGXMC3ihqKa0UkAJSIIMKCHgFvALe8A+YgFfAG360KIY3ilZKKwWkgBTIqAICXgGvgDf8IybgFfCGHy0C3ihaKa0UkAJSIKMKCHgFvALe8I+YgFfAG360CHijaKW0UqDAFPjrr7/sgw8+sBUrVlidOnXsgAMOSJv333//bdOmTXPpjjnmGKtYsWLae9Il+Pzzz+3bb7+1PfbYw+rVq5cuua5nWAEBr4BXwBv+IRPwCnjDjxYBbxStlHYLKfDjjz/a+eef70orWbKksTK5dOnSW6j05MW8+eab9vzzz1v16tXtqquuynN9li1bZt26dYvd36JFi1z5JSpr3bp11q5dO3ffsGHDrGbNmnmug79x0KBB7qhSYPfuu+/Od37KIH8KCHgFvALe8M+QgFfAG360CHijaKW0W0iBxx57zMaPHx8r7frrr7emTZtuodKTFzN27FgbOXKkVa5c2caMGZPn+jzyyCM2YcIE23PPPe3KK6+08uXLW40aNXLkl6gsAW+eJS8yNwp4BbwC3vCPq4BXwBt+tAh4o2iltFtIgbZt29rvv/8eKy3e+zhnzhybPn26LViwwDZs2OAAtFevXnbQQQe5v7GjjjrKZsyYYb/99pv7d//+/a1s2bLu2uTJk+3pp5+2lStXOs8x1/v27RsLEZg6daq7/tNPP9k222xj++67r5166ql23333GaEIWJUqVax27doGjMcbHtz777/fvvjiC/v3339duAD1OvLII12+o0aNMr6oKXu33Xaze+65xypVqhTLhnbdeOONucrq3bt3zMOLRrNmzbK1a9facccd5/IvV65cqPYF6+s9vNWqVXMAPm/ePNtrr72sa9euThcMCHv00Uft7bfftvXr19vOO+9slN+hQwfngb/iiits9erVduGFF9rRRx9t77zzjvNA77rrrnbvvfe6PJL1WYMGDVw/DB061D766CPXZrTo0aOHNWnSZAuNuMJTjIBXwCvgDf88CngFvOFHi4A3ilZKuwUU+OSTT+zyyy93JXXv3t3w9mIvvPCCbb/99rZw4ULr16+f+6xu3bru708//dQ6duxo7du3jwEhILbtttvGoPHiiy+2Nm3auHyAN2CzWbNm9u677zq4Brxuu+02mzhxoj300EMuXwB5xx13dHG2PXv2dN7ddMALsJx11lkuHWC4ww472NKlS11+QN2HH35oo0ePzjfwkh9t5AsfI8SC0Ih07YvvQg+88Z/Tbu9lB7SBdzQj1vjjjz92ybt06WKdOnVyugLCpGvdurV7oRgyZIjzXKNnqj5Dq7PPPtv1AS8s3PPee++5Y5HU2gAAIABJREFU/IcPH+7CR4qTCXgFvALe8E+8gFfAG360CHijaKW0W0CBO++804hfJT4VLykAhV100UXOq0goACEBGKB0yCGHOCgCFIBLH+MKtO6zzz52zTXXOE+w9xJ7OCNEgoVfLBx7/fXXHTwSy4rXEq8w6e+66y73OQBGGXiV04U0TJo0yYEt9wF7eF3xVi5ZssR5P2+66SZXp/nz5ztATRYLnC6kAZ3q16/v8gaoGzdubDfffHMMPpO1Lxnw1qpVy4E+WuENx/BEY+edd577G0/0oYce6l5CgGEPtOmAN1Wf8YKD5xy9KLdEiRI2cOBAY4EeXmaAuDiZgFfAK+AN/8QLeAW84UeLgDeKVkqbYQWAnFNOOcV5LZleP/zwwx2E4i2tWrWqPfHEE7Zq1SoHYKT1hif29ttvd1Aav6iLWFs8qqTB+3nyyScnbQXX/f2EOJx00kk50oaJ4fXxuUzLkx7zXlTidIHFggBev2jNvyAA6HioU7Xv5ZdfjoU9+IbFL1pbs2aNnXnmme4yZaC3D9t48cUXrUKFCjZz5kxXFkb/8CKCh/fSSy91oR/xHt5UfUaoA0CcyHjZwWtcnEzAK+AV8IZ/4gW8At7wo0XAG0Urpc2wAkGQSlQU3lXCFPCa4pVlah3vK196AB9gFg+81157rYtLBaC5H4gFlvkbD6K3n3/+2cXq+uutWrVysakYwAYwA4zkEYTZ+Hri+QRqmf5ndwk8lx5wAXgANQrwBstKtGiNnRXYqsx7sNO1L76+8cCLdxsvtwde/saLjNEuoJ2dKoBh2vjqq6864CUkAY87u2vQbrzz3gOMfsn6jFASQkwwPMrcg23cuNH1K/HZxckEvAJeAW/4J17AK+ANP1oEvFG0UtoMK8COBSxcYgFVnz59XGl8oRGzy9+AGH+/9dZbdvzxx9tOO+3kptZ/+eUXN6VP7K8HXkCKz7/55huXD9uA4blk+hxIw4gBJnTiyy+/tMWLF7vPWWQFTGOESwBcACXT+b4uXMOTSZxr586dc6iyfPnyWAjAEUcc4Ra3vfTSSy4NU/bNmzcPBbzBuFdf1mmnnZYL6OOBN137ogIvfXHOOee4RWm05dhjj7XnnnvOvTT4kIxbbrnFZs+e7eCeMJJFixY5rTzwArTJ+oxQlXPPPdelR08Wym3atMktfONzD98ZHnqFJnsBr4BXwBv+cRTwCnjDjxYBbxStlDaDCuAhxFOI+QVmvjh2LJg7d67bRQFwJUbWL9bC8wqYAssAlwfe4IIuwAxvLTsuAGoPP/yw80IGjcVY5Mt1vJNM1XvDk0l8KyETl1xyiX399dfuEjA4YsSIXKqwmwFxqH6BGwmARh8LC/gSO5wqhnfz5s25yho8eHBa4E3XvqjAywvBd99953aNAOa9NWzY0IH7dttt5xYNDhgwwMU+ozvxwLxoeOAlxCFZnwG5eOp50Qjmj+Z47Bs1apTBUVf4shbwCngFvOGfSwGvgDf8aBHwRtFKaQuJAnzJEWsK3OF19Bac8seryC4JQBdhEPFGHky1k8cuu+ySK7aV7cS4ziIqtg4D5LyxFRheSDzMpUqVSqgKwMp2W0zNU8dk6dJJGqasRHmka1+6chNdB2jxmrPNmt8CLZgOYN19993di0UivRP1WTAdW8yhOX1G36F9cTMBr4BXwBv+qRfwCnjDjxYBbxStlLaQK5CJgxkKeZNVvSxTQMAr4BXwhn+oBbwC3vCjRcAbRSulLeQK4K1lWzCMcAFCIGRSoCgpIOAV8Ap4wz+xAl4Bb/jRIuCNopXSSgEpIAUyqoCAV8Ar4A3/iAl4BbzhR4uAN4pWSisFpIAUyKgCAl4Br4A3/CMm4BXwhh8tAt4oWimtFJACUiCjCgh4BbwC3vCPmIBXwBt+tAh4o2iltFJACkiBjCog4BXwCnjDP2ICXgFv+NEi4I2ildJKASkgBTKqgIBXwJtqgE2ZOtXmPXeHHVarYE4g3PTPf7b9gS2sebsLMzquM5W5gFfAG2VsldjMhqEyKSAFpIAU2OoKCHgFvKkGIScQciLkNf37F9hYLVumTJ73CS+wSuQxIwGvgDfK0BHwRlFLaaWAFJACGVRAwCvgTQe8nALJyYay/x09zymdO+ywg+T4/wr8+uuv7lAkWW4FBLwaFVJACkiBQqKAgFfAK+AN/zAKeOXhDT9aFMMbRSullQIpFXjzzTftr7/+sv32289q1apln3/+uX377bfuKN569erlunf16tX2/vvvu6N4W7ZsaRyt+9Zbb7l0jRo1sh133DHjinNc8Pr1693xymXLlnXl/fzzzzZ//nwrXbq0O8BDtuUUEPAKeAW84Z83Aa+AN/xoEfBG0Upps1SBsWPH2siRI3O0Dtg75phj7Morr3TgF8batGnj4LFTp07WpUsXGzRokDH9COzefffdubJ499137YYbbnCfT5s2zZYvX27nnXee+/+9995rdevWDVNs5DT8SDz33HM2evRo43Q6b0D6rbfeap999pndfvvtVrJkSVd/2ZZTQMAr4E0HvJMnT7b++YjhLVW6lJUt87+X26JuAl4Bb5QxrJCGKGopbVYqEATeKlWq2C+//OI8tVj37t2tQ4cOodo9c+ZM+/PPP52Ht2bNmpGBFw/vjBkzXFkNGzbMmIf3oYcesokTJ7pygPmqVas6TzQ/Hvfff7+tXLlSwBuqxws+kYBXwJtqVE2dOtXen36THVZntzwPvg0l9rHWZ95l2267bZ7zKCw3CngFvFHGooA3ilpKm5UKeOAF/lgBjdfzpJNOcm09++yz7fzzzzdWRw8bNsx23nlnu++++9y1K664wghL6NGjhwtBuP766+377793XtrmzZvnAl6+nPEkv/zyyy58gby4H8PDi3e4V69e7v933HGHA17//2bNmhk/dmvXrrXjjjvOfV6uXDlX10cffdRd27RpkwulIB/aMmLEiFz9tWrVKueBxvbff3+75557XCgDoDV48GB37YcffsgBvMDwTTfdZNxLeaQ/6KCD7Oqrr3Z1pF0vvviizZ071z755BMXolGjRg3nva5cubLNmTPHpk+fbgsWLHDt5jPq36BBg1z1A8TJa88993QaFDcT8Ap4U435V155xTYtucRaHvJdnh+NN5a2sRYdn3bfH0XdBLwC3ihjWMAbRS2lzUoFgh5egO+7775zkFa+fHkHkwAa04hDhgxxsDdp0iSngw9h6Nu3rwPks846ywGs9wrHhzQEyyEfoJQVxh54161bZ+3atXP/B6533XXX2P/5jBADvuCxq666ysXXPvjgg/bSSy+5zxLlGd9hs2bNcmEL2AMPPOCgN97wMgdDGj766CNX3r777uuSfv31164e7du3d7D/+OOP27PPPuvqd8QRRzgNFi9e7MIySNevXz93nw/R+PTTT61jx47WtWvXXGU/9thjNn78ePcyMG7cuKwcb6kaJeDNqQ4zLeycmQ1wVhCDWcCbU0UBr4A3ynMl4I2iltJmpQKJYnhpaMWKFV0ML97bggDetm3bOsCtX7++A8p58+bliOFNBbx33nmnuw/AXLp0qTVu3NhuvvlmB9p4XakjXlgWwQXjguM7DDAFULEJEya4NqYD3n/++ceV8dVXX7nQh9dee82WLFni7iUP4gk/+OAD94KAN/zAAw+0ChUquP+/8cYb9sgjj7gi8JYfcsghVr16dedRJpQi3khP3DAL/XiRKG4m4BXwphrzAl4Bb7rvRG1LllwhAW+60aPrWa+AB148lHg9N27c6KCQxVt4YfmRAfLy4+G966673E4M2OWXX24nnniixS9aSwW8eHyJCwZ82Q2ChXD8u1WrVinzjO884oxvu+029/HDDz9stWvXTgu8eGTx8AYXuHGT93YT7gFsBw2YxcP977//uhCP4L3cB/BnalFeUR6wAl4Br4A3/BMsD29urQS8At7wT5BSFjsF4mN4EWDUqFH21FNPOS2YYgdOmaLHXn/9dRenGjWkwYc8nHnmmdatW7c8AS+7PRDv63d+8B7epk2bOk8r25oNHDjQ1ZN08bZixQrr3Lmz+xhvKyBeqlQpF/+LJ7Z169a2bNmyHCENxCp//PHHLm6XcIj33nvP3eeBl23MmHYm/pkYXgAZu+CCC1wsM9PRaEYe3MuPVLKdK7h/4cKFbuP0U045pdiNRQGvgFfAG/6xF/AKeMOPFm1LFkUrpc1SBYIhDXhR2WkBMMTYtQH4DYJipUqV3DV2M8DCxvAG422BTcICwsbweg9vPPB6jy/1CMb4JgNePmfRHXCKEXaw995726JFi5wXNtEuDSzGA1RpN0CMt5st1DzwErMMNBNmUaJECXvyySdd3n369HGL+IDw448/3kEsLw/sguFDMuKHlGJ4/7AyZcqE3govSx/JWLMUw5uzhxXSkFMPAa+AN8p3oEIaoqiltFmpQKIYXmDu8MMPt0suucQdyoAF4RIw9lt5hQVeIJH8POSSB9Dr4TRMSEM88ALngDTxwGwztNtuu8VCMTzUxncaMbnPPPOM82D7RXCkYQEbccF4WYOL1r755hu79tprjUMqsGrVqrmFfR54g7pwnQVnTZo0sYsuusjB8dChQ2PlcA+wT2x0ooM1hg8f7vYIZsEedSxuJg9vzh4X8Ap4U30HCHgFvFF+IwS8UdRS2mKvALAKMOb1rHKm/n/66Sd3f0GsPGfHBBaq1alTx8XLEpeLV5XtydhhIp3hbQWaAUx/0lqye3788UcHs4nqjXeYbcu4Fq8NP0pr1qxxHmQ85rLkCgh4Bbypng95eHOqI+AV8Eb5PRHwRlFLaaVAIVOAXQ2Ip423ZFuOFbLqqzpxCgh4BbwC3vBfCwJeAW/40aIY3ihaKa0UKHQKEGaAhxdPLR5e4myPOuqohNuNFbrKq0K5FBDwCngFvOG/GAS8At7wo0XAG0UrpZUCUkAKZFQBAa+AV8Ab/hET8Ap4w48WAW8UrZRWCkgBKZBRBQS8Al4Bb/hHTMAr4A0/WgS8UbRSWikgBaRARhUQ8Ap4BbzhHzEBr4A3/GgR8EbRSmkzqABfXMShsp9rou2qUhXNDgBsyZXomNwMVjlp1n6rL/bFjTe/mwGxtrQ1LwYUsYVZ5cqV3d67yYx0bOvEDgyyoqGAgFfAK+AN/6wKeAW84UeLgDeKVkqbIQU4mnbAgAGxvVo5lpa9bQ8++OCUUMnJYDNmzIjtDwv8dezY0bp27eq25ho8eLA73pZT0baUse2YP2b3lltuyVHsiBEjbNy4cbHP2Ke2bdu2uarGiW6cTPbCCy/Y9ttvH7tOW9nT1u/j+9BDD9m+++6bsGkcIME+vNzPywD3+f2EE92AXuiGUUe2H8PQj4Vx/jjiLaVjcS1HwCvgFfCGf/oFvALe8KNFwBtFK6XNkAJz5841jqdt1qyZ80hyfC3gyJ6yyezpp592J3pxClj9+vWN88MB5y+++MIdnvD555/bZZdd5qCvdOnSGap5zmw5ZIHtwPDiNmzY0ILAO3PmTAeNV111lTtud9KkSQawslcue+Z6mzBhgjviFwsC75tvvukOvuAoYY40xgvOvrmJ9sT18AqscshDhw4d3ElnPXr0SKqDvwetqB8HQwh4t8iwyVGIgFfAK+AN/9wJeAW84UeLgDeKVkq7hRSYOHGig0G8nMm8s4Dj2rVrjSN3E9lZZ51lq1evdtP5eH779etndevWNY6unTx5sm3atMnBICeIAY+cJgYoX3HFFTZmzBgXXsGpZZy2duaZZ7oigHBOSjv11FOtZcuWuYrlAAdCDfAsA6NB4AVWP/744xynhwGiJ598sp1//vkuL47vvfHGGx2oc/yvB17KpQ41atRIuOdufEUI8SA9bT722GOdF/mMM86wzp07pwXeSy+91EE7p7DtvvvuuTy8bIGG9xhtDzvsMENndKXP3n333Vj9OBEOj3K3bt1cmXiPybtevXpuG7VEeZCOOnbp0sVmzZplixcvdn0SfCHYQkNwqxUj4BXwCnjDP34CXgFv+NEi4I2ildJuIQWuueYad3RtqqNl8dwChXgjmzZtavvtt1+OKXtgEe8poRLEyjL1D0DjFQao9thjD3cdIAbwgFFgF1AFZvkb2Mbj+tJLLzlo5vheADk45Z9IEspkT9wg8FLXDz74wDjG2Fvv3r1dPfr3729Lly61nj172g033OBAs1evXjHg9QDL0b+A+saNG51X+8ILL0x6OhpeYupOXPNBBx3kPOGPP/64A2DyiTfv4R0/frwD7tq1a7t7giENy5YtcwBL2Aiao+fUqVPt5Zdftvnz57t28O8SJUpY69atXd34P3lzH0cGE46RLA/ua9Gihasa/Yo2J5xwQrE6nU3AK+AV8Ib/oRHwCnjDjxYBbxStlHYLKOC9u0Bjo0aN3JG0QKo3vIlAEMf7AlOjR4+29evXu8t4QJmKB24ThTTgPcRbiNcQmzZtmuGJBMSAMoD3xRdftAoVKrjreHmBOyC0SZMmLhyBeNh08ayJgHfhwoXO49q4cWN3MATwCJQTxkEsL15ePL5nn3228zYHgde3hXvRBC/y8OHDXT6UFW94msmTWGggHY/0xRdf7EAeYAdWkwHv888/b1999ZVdd911DpDRxsfwPvjgg0ZoBSEnGKEbtAlv7T777OO81Xiy6Y8nnnjCVqxY4bzdvLyMGjXKvSikyuPAAw90wOv13gLDrdAVIeAV8Ap4wz+WAl4Bb/jRIuCNopXSZlgBH+d6wQUXONDEVq5caUOGDImVfOSRR7oY1qAxvY6HlvAGvLl4URMBL/GveBfbtWvnbl++fLmdd955zsOL5xTgxWOJp9EbXksghIVoTN8DcKkW03FfIuDlc2KMAUjyA7yBRwCXHRu8t5p0xCMvWLDAwTEQTH3wuj777LMxLzawTHgGXtZgfbmfcAS80nhrP/nkE/cS0KpVKxfPzD28GKQC3h122MHF+xKSwOI1D7x43tGZUI+gde/e3dWVe+gfXh546QDcuR8Ax1tOPdLlAfAOHDjQhUsURxPwCngFvOGffAGvgDf8aBHwRtFKaTOogA9RwBMZD7SJigUMvCfWX/feYfJatGiRETLA4jCm1jEgmlAAPLXYnDlznLcXQMYbmQh4AU/SA3QAXDAkIZkcyYA3mN6HRwDzZcqUcfDrDa82/ycsAEgHiIF0vwiNdMAvHth4QOcaHmhA1+8I8emnn7q24Z1Gj0TmQxrw8AK8PsQDOKZ88qR8Qi+Ir05k1Id2kQaP7pIlS9w9LKwDivEsp8tDwPuHGw9baqFlBh/pAsmaRazEsCdanFkgBRSxTF555RXbtOQSa3nId3mu+RtL21iLjk9nhaYCXgFvlAehxGa+TWRSYCsq4HcmwNtJ7KY3vIPxUOuv4QWuU6eOm0avUqWKg1HCE/hhZDp9w4YNbiof+GRxGsbnACKxtcSHMjWP9xKPKICYCHg9KBPewKIr8kxmxO0yzQ8c8kXMAjQg0++VC1SXL1/ehVIQn0wd2C4s3uJDGrhOfC+PKluW4dEm5MB7huPvB3TZAo36Ev7x5ZdfulAG6oenly3f4i0eeLnOCwO7XjRo0MC1iRhkPN68lKA72qEnXl1ifj0ksz8wC//Q4pRTTnFa+AV46fIQ8Ap4g2NTwJvzSQV4V33a2xrXXp7nb+z5P59gbbqME/DmWcHCfSMzhDvttFPhruRWqp2AdysJr2L/TwGg9O23384lCZDnww/iLwJUhAfwg+iNaXTiPwEuDJj0Hk0PvizEwuOJsaDrnnvuceEFHtYSeUyJl8XzSZiA9xYn6j/vdQ1eY5q/ffv27iOAnhANAPiYY45xU/yJ8ksEvAApnmZgF6tWrZqLl40PL+Aa8c14jvESA51+xwjg+/LLL7cTTzzR+vTpk6MJHniDW6F9/fXXDm498HIDOqCHP1wDDQnzqF69uisXEO7UqZMLFcHQG49v0DOeKg+AlxcXdnMojqaQhpy9LuDNqces2bNs8ktPWvt2p+X58ahQsZLtX6dhrlCoPGe4FW+Uhze3+ALe5ANSwLsVH1YVnX8FWPXP9mTstpAIHvH0Ep/LNL030vO5B+N0tWBBGQBGHG1+jC8iysWzGx93GzZfgJl42FSHSPi8AFAAOWw7w9YBTzP5AtBBXcPeT7qCyCNKeUUlrYBXwJtqrLIOYMqUKQkXqxaVMV6Q9RTwCnijjCcBbxS1lLbYKUCoA15RYlIJnZBJgUwqIOAV8Ap4wz9hAl4Bb/jRokVrUbRS2mKowGeffeZ2c/D7wxZDCdTkLaiAgFfAK+AN/8AJeAW84UeLgDeKVkorBaSAFMioAgJeAa+AN/wjJuAV8IYfLQLeKFoprRSQAlIgowoIeAW8qQbY7Nmz7Zlnxljb0/O+aC0/A/i/zWbHHntCodk2T8Ar4I0ynhXDG0UtpZUCUkAKZFABAa+AN9XwYluyZ58aZBXL/J3BUZg867//K2P9Bwy3WjVrbZXy4wsV8Ap4owxEAW8UtZRWCkgBKZBBBQS8At50wPvCs4Ntp+02ZXAUJs964z9l7fLrhwl4t4r64QrVtmTJdRLwhhtDSiUFpIAUyLgCAl4Br4A3/GMmD688vOFHi2J4o2iltFJACkiBjCog4BXwCnjDP2ICXgFv+NEi4I2ildJKASkgBTKqgIBXwCvgDf+ICXgFvOFHi4A3ilZZnfbPP/+0MmXKuFO84m3JkiW2YsUKa9SoUUINXn/9datfv37CY24Lk2h8OXJU6XbbbZe0Wql0KIi2cMIYp6VxQlmqY4oLoqxgHvFtnzZtmtWtW9d23333fBcVRtd8F1JMMhDwCngFvOEfdgGvgDf8aBHwRtGqSKb98MMP7eqrr7YJEyZYxYoVY23o2bOn1axZ06666ipbtmyZdevWze688047/PDDc7Xz5ptvNo6pve2223JdA4Q7d+5sTzzxhFWtWrXANOI44JNPPjmWH3DYqlUr69WrV56P5Z04caI99NBDNnnyZHcsLu1t2rRpDOTT6ZCfxvHSMGjQIFu8eLHxJY3tueeedu2119q+++6b56w5WvnGG2+0/v37W6VKlZLmE2z7+vXr7YwzzrBHH33UatWKtto6UXnxuua5MbrRBLwCXgFv+C8CAa+AN/xoEfBG0apIpn3yySft1VdftfHjx8fq/++//zp4vOKKK9zf/Mh+++23tt9++yXcX7Ft27bWqVMna9++fS4N8O4OHTrUlVGQ9vHHH7v6AWXlypWzN9980x3vO2DAgKSe5nTl41n97bffHGACfW3atLHBgwfbwQcf7G5Np0O6/JNdf/vtt129TzrpJDvrrLOcV3Xp0qX2wAMPuP8feeSRec3a5syZY7yQ0A+JvPM+42DbZ86caXfccYe99tprVrJkyUhlJyovmHekzJQ4lwICXgGvgDf8F4OAV8AbfrQIeKNoVSTT9u7d23bddVfnBfT29ddf28UXX+wAskqVKvbUU0+5kIUrr7zSJRk3bpzzCP/yyy/OC/njjz/aww8/bLVr13bp7rnnHvv0008dYJUvX9723ntvu/fee929L730kj333HO2evVqO+SQQ+ySSy5x1z/44AO77777rGHDhjZlyhR3b48ePezEE09MqOuYMWPshRdeMLyH2N9//+2AEQhu2bKljR071iZNmmR4HJs1a2bdu3e3HXfc0UErIPnee+/Zhg0bXP2vueYaB7l4QY855hhr3ry580oDvzvvvLOVKlXKbrrpJnv//fdjOpx33nnWp08fq1evnit/1apVdvnll7s/fJasnfGNoQ54U3mxQPOgEd7An40bN9qQIUPsnXfecS8cp5xyinXt2tUlTaUbLwXXXXedC9PAuwu80nbKOf/88w2w/e6771zeeJdpOxqS5q233rIaNWq4ftxnn32cp79atWq2Zs0aY8zwIuDDHfDs77///k7D+PIYQ3zm86a9ydpC31x44YXWoEEDmzt3rtOf/kdnjM+GDRtmP/30k3vJoZ+oS3EyAa+AV8Ab/okX8Ap4w48WAW8UrYpcWmAK0AJsgE9vixYtsi+++CLmlb3ggguclxFoHDFihPMGA7+EPDzzzDPG6T54A9euXWtnn322C3s488wzHVzecMMNds455ziA5F48vZdddplVr17dbr/9djdlTkgFoQTA66mnnuqgF2AFxgDrRAbYAj0+jILygTBAmDrh8b3++usdOJOmXbt2rg58Rr5ALrG6QDEaAN2tW7e2gQMHOo8uHle8rNQNA+gIl/A6dOzY0XmA8cBihB4AgwBZqnbGt+X555+34cOHO3ivUKFCrqbyhd2lSxf34nDppZc6TzvtvP/+++3AAw9MqRv7LRKaQnvQFVjmM+Cd8BXaTb546LlO2w877DAH07zMAMW8DAHDhHb07dvXZsyY4UI9vPeX+gGltJ+Y3/jyGFte10MPPTRlW3gJoX+I90bbBQsWuP5nLOBxZ/xRN+pCCAjX0aQ4mYBXwCvgDf/EC3gFvOFHi4A3ilZFLi1AB0QAGMEFUngyDzroILv77rtjnlOgETgF8Pg3XjiMcIUvv/zSeXgBI/4NwJUoUSIWFoB3F3DCK0osMOCDMc0+b948BzTUA8/oRRdd5K4BgniWvQc3Xlw8kXgejzjiCAPQ8X6SBwvnALVgKAIeRTyVgChwhycSEAf2vC1cuND69etnL7/8sgNpvKCkA84x70H2bccbvP322zuvMF5W/iZ/oDJVO+PbQX7EBj/22GMJxw8vCMAtOlAvDHCnnWiVSjcfmkJIQ+PGjd29jzzyiL377rv2+OOPO881Fmw7n6EtIQ1oi9GveP2pI3VBb7zAGDHHQC5efxbaAdHB8oJ54zVO1Rbyp27Ee2N+fPISg7eamQPGEmBdXE3Am7Pnmb3gxd0/G8V1XPh2c9KaDp74v1Eg4M39ROjgieTfEjp4Iou/QZl2B1QBTwDVG961Dh06OG8toIhn78UXX3RT4MTM4hX1hsftqKOmB6A2AAAgAElEQVSOcuDFfXgjTzvtf+e4A85MZwNt/KGs+IVrQK4PXQjG3wKC/LjfdddduXrg+++/d56+Aw44wEEnYQnHHXecA1TaRFxyEJQJlfBT9yxIA9L5IqQutA0PKFPv06dPdx7ioNcSbyIW1AFPLHALrD/44IMufvn444937fCaJmpnfMgC+XLPTjvtlLCdXMfjCYQCkd7oF6AULzPe1WS68fKBBxTvMTphwGmdOnVyeEaDbfftpB1+twryByqoA7rjgSf0AEPn0aNHO09sovKCeadqC23Cg44n3YcpENoCIDN2CE1hVgHPLi8VhK2gp4f2LH5MczRNwCvgTTXWBbw51RHwCnij/DYIeKOoVcTS3nLLLS6WFgD0RiwqAOc9pE8//bQDXMIECDsA8kaOHOmSB72egCu7Jtx6660OgDGgEM8rHju8d2+88YbzBMYb4RNAThDMgLnTTz/dhUbEGwAExAJE8YuqKAcwx2uMAWrEyAKGPu4Vr9Dnn3/uYArQpz2AL+DsoQoQffbZZ22XXXZx+QR14P94K/E4Uk/gkLTs7JCqnYmGB7GxQCY/VMG28EXNThToAthTP4wFYMAhnk7AL5VuhJ4QL+0XJCYCefIMth3dqAv97fuYFxjgEsiMB2wgmHwZS/HlxefNS1GytjCj4EMj/EsGMww///xzLP6b/JYvX+60p8+CMw1F7NHLc3UFvAJeAW/4x0fAK+ANP1oU0hBFqyKXFi9uEARpALGvxGgClQAVsa5MVTNl70HT74yA9470ePkID8DDS6gDcER8JVPheD4JC/AL4YCrFi1auAVJ3AdMATCEMHgww5tH6IGPU40XlvrhsaUe8Ua5QCRT7oRgkIZ4U8CPurIIjxhjwIEFZixKw4uMx5TFUSeccIJbHMUiPtpHrCseXdrvdaBMyie2GQtu15aqnYm2BfOxx2gC3O+xxx7GVnHEAuMdp85Tp0517cCbSUwxccm8fPDykEo3vM/AP15r4BlYJgwiCPLUP9h2tOOFAKBmz2Hier/55ht3D/+nX/Dis3COvXoBfF4O+Dy+PLzKwbwJdUnWlmBoBH2CAfaESDBOuZdQEfpj1qxZDnYpmxjh4mQCXgGvgDf8Ey/gFfCGHy0C3ihaFam0Hirj99Yl3pV4SR9HyYIjIAlwWbdunfs34IQ30oOJ9wYCrD4WFRAhBhNoY5cEDE8ykARQYaz6B+yIp2X6nClvjDhOPgMGE01ZE0eMF5Dp+XjjCw5YZQEURuwwbWSRHHWjjtSddIRA4Jlk5wAgDjCsXLmyqx9ebjQiLfUAzL0O5OvjY5neJ4+gJWtnsm3B0Bp49fvv+il7drDA484iM6byMRYXEmLACwYLxVLp9tlnnzmoJ188q+xqgGc0GO7xww8/5Gg7/YzhvccIzcDTio4YfeS1JfyAMAbigomnji8PeA7qyg4eydoSDI2gHPqEhXSAN7tBANUsXPNecMIffOhMkXrw8llZAa+AV8Ab/iES8Ap4w48WAW8UrYpNWsCFqX7ALN7wAvLHA1IiUZimxvuXyYUmgAGHYbAVWdAAOXZTwFubrnzSUc9E7QzT2VHayRcz4SXUKXgAiC+HugC36eocXy/AnEUKvJxE2VOXlxraTXxxvFFPgDtRXcKUl9e2MCtA/zG2gjHnYfoiW9IIeAW8At7wT7OAV8AbfrQIeKNopbRSQApIgYwqIOAV8Ap4wz9iAl4Bb/jRIuCNopXSSgEpIAUyqoCAV8Ar4A3/iAl4BbzhR4uAN4pWSisFpIAUyKgCAl4Br4A3/CMm4BXwhh8tAt4oWimtFJACUiCjCgh4BbwC3vCPmIBXwBt+tAh4o2iltFJACkiBjCog4BXwCnjDP2ICXgFv+NEi4I2ildJKASkgBTKqgIBXwCvgDf+ICXgFvOFHi4A3ilZKKwWkgBTIqAICXgFvqgE2ZepUGz1yqNWqtldGx2GyzDf9+59d3u82q7Rbpa1SfnyhAl4Bb5SBqKOFo6iltFJACkiBDCog4BXwphpeHOXOiZjX9O+fwVGYPOsSZm6P7sJiAl4Bb5SxKOCNopbSSgEpIAUyqICAV8CbDninTJniTmOUmTtlkhMzOWhI9j8FOIgo0YFC0kchDRoDUkAKSIFCo4CAV8Ar4A3/OAp45eENP1oEvFG0UlopIAWkQEYVEPAKeAW84R8xAa+AN/xoEfBG0UpppYAUkAIZVUDAm53A++tvv5lt3pzvsfP+++/bnDlz7JZbbsl3XtmQgYBXwBtlHCuGN4paSisFpIAUyKACAt7sA94lS5da75sG27Zl87/Y67c1q2yPiiVt7MjhGRyFRSdrAa+AN8poFfBGUUtppYAUkAIZVEDAm33A+8H8+dbjrvG2eYe98z1y/vljje1TYpFNeGZUvvPKhgwEvALeKONYwBtFLaWVAlJACmRQAQGvgDfV8BLw5lRHwCvgjfJ1LOCNopbSSgEpIAUyqICAV8Ar4A3/gAl4BbzhR4sWrUXRSmmlgBSQAhlVQMAr4BXwhn/EBLwC3vCjRcAbRSullQJSQApkVAEBr4BXwBv+ERPwCnjDjxYBbxStsj4tJ9bwh1NaypUrl/XtLSoNXLZsmX344YdWqlQpa9mypZUuXTpX1Tld57333rO//vrLGjVqZJUqFY6z7ouKxoWlngJeAa+AN/zTKOAV8IYfLQLeKFplZdq///7bnnzySZs4caLxb29VqlSxbt26WZMmTbKy3UWlUbfddpvNnDkzVt3x48fbjjvumKP6r776qt13332xz/r372/NmzfPVxP79u1rGzdutIsvvtjq1KmTr7x0c3gFBLwCXgFv+OdFwCvgDT9aBLxRtMrKtL1797YvvvjCtQ2Qqlatmi1ZssR5eps2bWrXX399Vra7KDQKb+1pp53mzosHPGvUqOHgE09v0Hr16mXffPONNWvWzNq0aWOVK1e2XXbZJV9NxJNMuTfffLM1btw4X3np5vAKCHgFvALe8M+LgFfAG360CHijaJV1ad9++20bMGCAaxdgBVSVKFHCNm/ebFOnTrXvvvvOunfvbtOmTbMRI0bYb7/95iCoYsWKdtxxx7n02NixY136+vXru6n06dOnu/uYYn/jjTds/fr1VrJkSdt1113t3HPPddPyGB7lRx991N27adMmq1WrlkvLlD3lYZ988ok9+OCD9u2337r/k6Zfv34O/hLZK6+8YqNGjbJ169ZZ9erV3RQ/BrhxDwD//fff2+mnn25Lly61hQsXuvxpN3VBE+qw8847W9u2ba1Dhw6u7tRn9uzZDv5o25o1a+zyyy93eQ8ePNjKli1rgCd21FFH2YwZM5xe/BuPK9fjDS3x2E6YMMF++eUXK1++vB199NF20UUXufp06dLFfY6hKy8glB002oPOGP2y995725AhQ2zlypU2dOhQ++ijj5wG3N+jR4+Yx75nz572448/umvoXbVqVevTp48dcMABTqNgnuR79dVX2zvvvBNaA8qiL/755x+7++6709aH06MYNwsWLLANGzY4aEfPBg0aZN1zl6pBAt6c6jA++T4qyiFW2oc3c4+wgDe3toS3EZYoy62AtiUrxqOCaXCmwwE6/t5mm20SqvH444/bpEmTbJ999nEgCShid955px1++OE2aNAgmzJlSo57gbznnnvO1q5d62AKeAbeKOuFF16wChUqONB86aWX3H0AIeCFZxkDshcvXmyAGQbsAb3kA4CNGzcuVyzr3Llz7cYbb3TpKQfIW7Fihfv//fffbwceeKCdddZZtnr16hx1BTq5D083dQD6Pv74Y5cG6OzUqZMDZqCM+FheEsi3c+fOLs2YMWNsu+22s3bt2sXK3nbbbWOwzYsBntd4e+qppxycY3Xr1nXl8xJw0EEH2e23354LeAkvASSDFg+ne+21lw0cONDOPvtspyV5AdIeYIcPH+5eBFq0aOG8+Xj1v/rqK1dXXggee+yxpMBLf4bVwNeRF4eRI0emrA8vBrzEeB34+9NPP7WOHTta165di9UTKuDN2d0C3px6aB/enHoIeHN/PQp4k/9kCHiL1c9pzsZeeeWVzgMI9AB9w4YNs+effz6WCO8aMaT86OB1AwLxHI4ePdp95kMePPACNwBKmTL/r70zAbexav//TWbSRLOi0jxpHlSaU2melFIoKkOlIkIlhIgklaEBmSmKioiot7ylOUWlAWV61RtSef2vz+q3zv/Z++zheY6zj7P3+d7X5cJ+1l7PWt+1nmd/1r3utVZ5O/DAA2277bZzcAnILVu2zHmCMTyj9evXt/PPP98BHhDZpUsX45z4Tp06uTQAL+fF41XdY489HPwB23gtsYEDB9r+++8fU6EOHTrY/PnzHRBzLwD+ggsucGnigRcQvOiii2zTpk1Wu3Zta9asmUvXu3dvO/LIIx34oQmwSHxzFOClbAwO2rdv7zyWderUcV7OeGvQoIHTEbDj/qS99957XTIgGs29RzdR7K7Pz+voY3d9TC/Qz2d4i4FgtKZ9gH7ypk0WLlzo7uvjhNGNgUKikIYoGjBjAMQTfgHQMrhKVh76y6BBg1x1APUjjjjCQTnwx2CpJJmAV8Cbqr8LeAW86d6HAl4Bb7o+UiKvBz2zeBrxkDK9DtRiHngBPiAu3vx1n08Q7JiGxBOKRzDeWrZsaRdeeKGdd9557pIH4H/9618xwAsE4tFNZOQNKAfNp/cgTphEMuAFJAlXwPB++ljlSZMmOe8zAAjsY3ivgW/qcuKJJ7p/p/LwMnDYZ599HLQyOMB7jYc8aMAnoIoB+Xhv8cgSRoHhPScOtyDACzzSjokMyMYzTfgCwBtvLGDES5wKeKNoQP7pygOAN27cOGbRJJrh5QaaS5IJeGNbWx7eWD0EvLF6yMOb/+0o4E3+iyEPb0n6NY2rK15U73lkihsQZWoeLyBxrgAtcIc3lhcLU/uNGjVyMavEW6YC3q+//jovxpd74DW95pprXFgD98ED6D2TACqeyFmzZjlPJEbZ8JB+8MEHxo4R3rPLNR7o6tWrO+9r0Hx6YoUJw/DeU9LEe3iDwMsiPR8qgGeXqX083YArIQ54TP1uCXiVgX9gEUjD4kMaPPB6jzMeaqb1481DJWEbhEMQKuIBl9ADBg0FAV5CRohHxhjIeJ3YdYF2ROdhw4a5z5988kkXH3nVVVe59PHAy0CA9sEKogHfS1cePPGU4bXXXnOzCAxAKGcyz3guP7ICXgFvqv4t4BXwpnv/CXgFvOn6SIm8DlABej4mFxGADOIn8UB64MXryEIuFqUR3woMApOpgJe9Y9nWDOP7LF6aPHmy+78HXryYM2fOdJ8x3Q3keAN458yZY127dnUfAaFMdS9fvtwBkYfKYMMFAT6+QVMBL2ENgDzhF8D16aef7uKP0YCBAGEGwa2/WDjnF3wlAl50AezZOQFDB2A/3nz9gWqAExAFpAF2Qgv8okG+FyWk4ZdffnGLA9GTcBUWzuHtZtEZn3M/oB3N+f/nn3/uQkGCwAuEE0MNrBOnzaCHWF+//Vk6DYLtk648LACk7meddZZbbEFd0Y8FgoRRlCQT8Ap4Bbzhn3h5ePNrJeAV8IZ/gkpYSmI58WoCdEHgJB6XeEriXLnGAjMAEFjysbl+ajtRSAMyBkMmgDgghnu0atXK5bt+/XqXL7DFIi+8tsCX96qSB5CMt9PvtsBnlG3AgAH5DlcA4EePHu12B6BexOkSpoF5z61ftBb08HIduGThWnCan/rhNcbrTbhB27Zt8wYHTLX7hW0sPsNDGVy05rUEmPleogWBDCKAXr+gjHIAmHjV2W2BRXo333yzK38U4CU9ZevTp09MfdAVj+1RRx1lbdq0cdvPYcArcIvhiaYM7FaBJ98vIqScBxxwQGgN4gckqcrDCxoPvteMcAYGN8SYx+85nOuPp4BXwCvgDf+UC3gFvOF7i7Yli6JVzqfF0wYo7rLLLvl2QMBDi3cVD2iy3RwSCcQPOH/YZireCHtgoRp7y+JlZXqdUAoAzE/J+++w2wN/AKCqVasmbAvKDrDhpQZSiZtlezBs2rRp+favTZQJC6wA89122y3hVkh4gQkFiN8miQV1HngpO1BOOkA+nVFutOU7hQ145L1y5UpXFvJnAZs36sKislT3pE9QBxYCBr+XSIN09eR6svLww8W9GFTRx0qqCXgFvALe8E+/gFfAG763CHijaKW0hawAe/Q+8sgj+XLFe8suD1ENT6GPRQ1+l31t/WKwqHmGTR8E3kThFmHzUbqSrYCAV8Ar4A3/DhDwCnjD9xYBbxStlLaQFcCbiocXjyoeXrbDIt406E2MckvyYKcHwhIIgcCjibe3KDyGeCb9TgyEMRS0DlHqq7S5p4CAV8Ar4A3/XAt4Bbzhe4uAN4pWSisFpIAUyKgCAl4Br4A3/CMm4BXwhu8tAt4oWimtFJACUiCjCgh4BbwC3vCPmIBXwBu+twh4o2iltFJACkiBjCog4BXwCnjDP2ICXgFv+N4i4I2ildJKASkgBTKqgIA3N4G3aefB9r9td9vivrNp/VqrXWGlvTx2xBbnlQsZCHgFvFH6sU5ai6KW0koBKSAFMqiAgDf3gJcFtGMmTrFS25Te4p6zeNFiW792pdvjXGZu7272CmdveNk/CujgieQ9QcCrp0QKSAEpUEwUEPDmHvAWZtfitMTXX3/dHnzwwcLMNmvzEvDKwxul8wp4o6iltFJACkiBDCog4BXwpupeAt5YdQS8At4or2MBbxS1lFYKSAEpkEEFBLwCXgFv+AdMwCvgDd9btGgtilZKKwWKhQK85F977TVXlpNOOintccQcijF9+nSX/pRTTgl1KAbHPi9evNgdBnLMMccUi3qXhEIIeAW8At7wT7qAV8AbvrcIeKNopbQ5rsDIkSPtueeei6ll6dKl7dhjj7V27dqFAsWikOjPP/+0Cy64wN2qf//+dvDBB6e8bUGOPR44cKC99NJLdtBBB9njjz+etlo//vij9ejRw6Xr16+flStXLu13lCC/AgLe3ADeDX/8YZMmTbHSZbYp1G7+1Vdf2W//WWV9+vQp1HyzNTMBr4A3St9VSEMUtZQ2pxUIAi/HEf/666+2bt06V+fjjz/eHn744WJR/+IIvAsXLrRWrVo5fSZPnmwVK1YsFlplWyEEvLkBvPPnz7d+Q8ZbtZ1rFGoXXPbT9/a/9UttwpgXCzXfbM1MwCvgjdJ3BbxR1FLanFbAA2/ZsmVt6tSprq6tW7e2L7/80nl3J06c6D779NNP7YknnrAlS5a4/++77752zz33WK1atezDDz90Xtfy5cvbUUcdZa+++qpts8021rx5c6tWrZoNGjTIfv75Zzv//POtRYsWVqZMGbe1zrhx41z+a9asscqVK1vdunXt1ltvdf/GZs+ebU899ZS7vttuu9nSpUvd597Du2LFCueJ/fjjj41tkAhF4J6nnnqqhfHwsrUPXqN3333XlbdChQpuux/v4SUkYsiQIbZ27VpXXvQ488wz7fbbb7f169fbTTfd5MqGcW/qNWzYMFu9enXSciXqTHiVJ02aZHvssYd17949p/tbosoJeHMHeIeNm2m77lm7UPvw999+bb+v+NzGvji8UPPN1swEvALeKH1XwBtFLaXNaQXigZf9DFu2bGnApPfwfvPNNw5UsdNOO81B7/fff+8AcMyYMTZv3jzr1q1bUp0IkeAljQF0hEuMGDHCnn/+effZ4Ycf7gCbuNtDDz3UHnvsMfd/wNvbrrvu6qDZAy+gfd111zlA5TtA8nvvveeuDx482HbccUe7/PLL3f+ffvpp22efffKV74477rDPP//cfU56D7YeeIcOHWpTpkyx/fbbzwH0d99959ISxkBIRSLgJSzihhtuSFqumjVr5ivHM8884+CfMqBnSTMBr4A3VZ8X8MaqI+AV8Eb5jRDwRlFLaXNagUQxvFQYgMT7iSf3oYcesrffftt5IIE84M/HuAJ4y5Ytc8AL2E6YMMF5PZs2bep0u++++6xevXp2/fXXO4i+5JJLnIe0QYMGzit79dVXW7NmzWzBggV27733uu8MHz7ceVbx8FIO4Jj42GAML9ANGHNP7lGqVCnr2bOng+YmTZq4tKmAl7IAzBj3pxzxMbyUb8OGDfbJJ5+4sr/wwguuzED//fffb4lCGvCSpypXw4YN8/WnN9980+0zihf7zjvvzOn+lqhyAl4Br4A3/GMv4BXwhu8tWrQWRSulzXEF4mN4gVfMg6kHQjy6iYzN4Imv9cALuG3atMnOO+88l7xXr15Wp04da9u2rQPHc88919q0aePCG7BOnTq5EAQ8tZdddpn7DA8qXk88qh4u42N4gWEfbhFfLmD6xhtvTAm8hGGwKA9DA0IS4oGXUAM+izfv+U4EvIRvpCpX0Gud410rdPUEvAJeAW/ox0UnrSWQSietJe8/8vCGf7aUMscViA9pwHPpQwNYsAbctW/f3j744ANjUVtw9wJeMtWrVzcWqwSBFw8EYBsE3rvvvtvF2vI5/+Zv0hEqgScWuL3lllvcdwhJGD9+vPN64mEmjjceeAl54HOM0Agf97tx40aXb6VKlVICL+ELV155pfs+R5YeccQRMcDLrgv169d3eV177bXWqFEj69u3r82YMSMv1CMIvEAuIR54uFOVi9CMeCM++qOPPrIddtjBLrzwwhzvcfmrJ+AV8Ap4wz/28vDm10rAK+AN/wQpZYlVIB54WYwF3OFxZSEbW5YBdl27dnUaETsLHC5fvtyBMfGxP/zwQ2TgxYs7c+ZMd4+rrrrKZs2a5UIjWORGmci7c+fO7p7E3+I19l5mFq3ttNNOLlaWl//2229vJ5xwgoNiTmXic4A6XQxv48aN3T0Jizj66KMd1JMfMbwALx5ndqzgGp8B4YQ0eA8v/8abjBGXTAwuYRJ4l5OVy0N2sMMphvd3t+CRviAz18c2b96cdbt+MPDVorXM92ABr4A3Si+ThzeKWkqb0wok2qWBAxiIs8WI22XngVdeecV5Xvkx9gbgDRgwwL744ovIwAtIAr3em+zvRbzwXnvt5WJxCYPAk4vtv//+Rrkwv0sDIRLEGfswDK4BTXipWciWDniBY0Iy+AEBeglrYGGcX7RGPC47U1AW8t1uu+1s1apVduKJJ7q4Zsx7o/2ivGnTpjk9kpWLQzPijTzGjh3rYH/UqFE53d8SVU4e3lhVBLyxemjRWqweAl4Bb5QfCQFvFLWUVgoEFGCfXv7gVa1ateoWa8OiMLzFwDN5xhuAyXZfia75tOSxcuVKF9ZAPixgC2vA7C+//OIWjLE1Wbz9/fffrnyEcyS6Tnp+gCgnerC1WWGUK2z5cyGdgFfAm6ofC3gFvOnecwppSK6QgDdd79F1KSAFpEARKSDgFfAKeMM/bPLw5tdKwCvgDf8EKaUUkAJSYCspIOAV8Ap4wz98Al4Bb/jeom3JomiltFJACkiBjCog4BXwCnjDP2ICXgFv+N4i4I2ildJKASkgBTKqgIBXwCvgDf+ICXgFvOF7i4A3ilZKKwWkgJmxeI3Fc/HGjw+nsLGDQ8WKFZNqtXr1aneN7dSCxufsEMEevCXVBLwCXgFv+KdfwCvgDd9bBLxRtFJaKVDiFWCfYY5KZk9itmnzNnfuXOvevbvbtgzjVLgOHTo4gMX4YWLLsZdfftml4XMO08B++uknd9IbsIzVqFHDevfunQ+IS4L4Al4Br4A3/JMu4BXwhu8tAt4oWimtFCjRClx//fVub14sCLxsg8YJbByRzAlxS5cudXsX33rrrXlHJHOCG4drNGzY0KUDev1Ja126dHHboT3wwAPu0IWWLVu6/YfZm7ikmYBXwCvgDf/UC3gFvOF7i4A3ilZKKwVKtAJAKcDLcchB4OWI4Z49e9q4cePy9ggGVvHcDhw40HluOXXNH50cFPG3335zh2J07NjR6tWr5y75/N54441I+wjnQuMIeAW8At7wT7KAV8AbvrcIeKNopbRSoMQrAPDi6Q0C75w5c9xxyxMnTrRtt93WaTRixAgXvgAET58+3Xr16mV169a17777zsqVK+e8vJdccok7tpljizkRjjAIjBPlWrdubaNHjy5xYQ0CXgGvgDf8a1bAK+AN31sEvFG0UlopUOIVSAS8nDZHqAIhCldccYXhtZ00aZKL2wV4hw8fbi+88IIDW38sMnAM1DZo0MCFPxAbfOONN7oT3Ah9AHoFvCW+u7njuzdv3pxyEWRxVGn+/Pk2bNxM23XP2oVaPJ20FiungFfAG+UB00lrUdRSWilQwhVIBLxIgud26NChtmzZMge+ixYtsp133tmFNAC8kydPdvDrrX379g5m+vXr57y8Q4YMsc8//9wqVarkdoHg+wppKOGdzUzAG9cFBLwC3nRvBZ20llwhAW+63qPrUkAK5CmQDHiDEq1bt86FK9xwww0u/OGtt96ybt262dSpU61s2bIuadu2bR3MAMTx1qxZM+fRGzBgQIlTXiENsU0uD2+sHgJeAW+6l6KAV8Cbro/ouhSQAmkUAD4A3ptvvtmeeuopt30Y8bgYOzVUqVLFmMp98cUXXYjC+PHjnccWDy6hDvXr17dWrVrZggUL7L777nMhDCxm4zr2448/ulAIALlv37522GGHlbg2EfAKeFN1egGvgDfdS1HAK+BN10d0XQpIgTQKnHvuuS4u1xveWry22GOPPZb373333dcefPBB22WXXfLSzps3zx566KG877NADeglZpc9fEmPbb/99m7/3jp16pTI9hDw5gbwfvPtt9b90SesSpWqhdqPly9fZhXK/M9eeHZIoeabrZkphjd/ywl4BbzZ+jyr3FIgKxRYv369rVq1ynbbbbe8sIX4gm/atMmWL1/uTlKrXLly3mVidon95eS14OdZUfFCLqSANzeAl1qsXbvWNhdy/3j//fdt3ty5bvAo++dAG2aION1R9o8CAl4Br54FKcrqXG8AACAASURBVCAFpECxV0DAmzvAm4nO9s4777gTCv2MSCbukU15Cnjl4Y3SX7VoLYpaSisFpIAUyKACAl4Bb6ruJeCNVUfAK+CN8joW8EZRS2kLrAAvaqb4DjroIKtVq1aB8ynuX+Q0sg8++MBN65999tnFvbiFWj5+fF577TWX50knnZR36lqh3iTHMxPwCngFvOEfcgGvgDd8b9HBE1G0KjFp4xcnUXH2Vm3Tpo0dc8wxBdKBFflLly7N26qqQJlkwZf8FlylS5d2U48lyf7880+74IILXJX79+9vBx98cEmqfqHUVcCbPcALbHHoSlGai+H9vwWgRXnf4novAa+AN0rflIc3ilolJK33TLKAiD8rVqxwNQfi8OCVKlUqshIC3siSZd0XBLxb3mQC3uwB3rdmz7GRYydb5Sr/HKddFLZ82VIrv80me+G5oUVxu2J/DwGvgDdKJxXwRlGrhKT1wNu8eXO3f+qzzz7r9lbFpk2bZmXKlHEQ/Pjjj9vHH3/sDhDgVC3Sn3rqqS4dJ2/17NnT/c1WU4Qz8HLyhxGMHDnSnaR19NFHu+/OmDHDbrnlFudB5kQujp5ds2aNA+66devarbfemreC/7333rNBgwY5jzGhA4RJ3HHHHW5fWA49uO2221wZKAv54oWhTldeeaU72euLL75w9+FIW7bO4jp7xuI9WbJkiTv0AO9k9+7d87U417t06eL2nf3rr7+sQoUKduihh1q7du1cPYMeXryd06dPd3lwrO5NN93k/g3UsI8t23FR3h133NFdp3ycNvboo4+6dJSVHQ04ZveRRx5xn3EYA3vfcqrZm2++6VYooxEHPTRu3DjhYITdE8iT/W/57l577eXKcPjhh7sDID788EPnkSWfRo0aGW1z7LHHWr169VLWlfLMnj3b1YW2YocG2gTzHt50/SRe4JdeesntxbvHHnsk1D/XH0EBb2wLF+eDJya+NNlmzV9i1XbZs8i6pfbhjZVawCvgjfLwCXijqFVC0nrgBeQOOOAAB6aAFUAGlG7YsCHvwADSAEpAKDZ48GAHsIAyQIjtvvvubtspzAMvABY/5c++rKR7/vnnXVqADNgjH+7DXq8AIXCL7bPPPg60gGnAc/To0cbWV5dffnnSlsJL7feSBTIB6datW7v7UA/u8/3337sDFjysBjMD8O+9917bf//93cdff/21y4/6AvweeLkGjFMefz+0qVmzZt79PKx/8sknLi+AGI0vvPBC9x3KRhn9HrfU9+mnnzaO5SVOGJ0pL/ckfcuWLe3iiy+OqfvmzZtdvh5Eq1Wr5gAfTRkoMGgJltl/mT5AaEuquqIZ2nkj7AXdPPASq+0PlkjUT9Ai3p555hk34GEQMGbMmBLyxP3/agp4Y5tcwBurh4A3Vg8Bb/5XpLYlS/6zIeAtcT+p6SucbLHVGWec4QAHrx4QBjwCqYQ44M0Fopo0aeI8nZyUheH94yCC+JAGD7yADd8pX768HXjgge4UL37krr76auOIWbySQBc2fPhw59llARx5kjf7v1566aUO+O68807nDfbAS5k4rQuIxJNKvcjL3xsv4nPPPWfnn3++Kzt58t1DDjnEQSFAGG/sGUvar776ynmD8Xh/++23tu222zqvdNDDyzUGB9dcc42rE4OFk08+2Xlisd69e9uRRx5pHvIAbjycvXr1crBNeagv9aP81A+POF5YrGnTps6rChguWrTIDRD69OkTU2ROPCMdhkcbTzDH+XKfRMBLGtqEPXEZ7KSq68MPP+z6AuUeMWKE8x4HY3jRJ1U/adiwYT598VozEKJe1LekmYBXwJuqzwt4Bbzp3okCXgFvuj6i6wEFPPACR/wbcAHOMLyO7EQA3CWyBg0aOG8rXjoPgaRLBrycqAXgYcAV8Il16tTJhSTgWcbLifXo0cOefPJJdwQt6TwQAU5M2wO2wKUHXryheEUBZ7y2V111lQPqUaNG2bBhwwxvJ/8GnCdMmBBTHcCZ0IV4++yzzxw0e++1v06dp0yZEgO83oPtPcgnnniiA8L777/ffY2pe47jBRqBR4zv4DXmCF7sgQcecH8YXACpeIP99+PLhifde8f9NY765eQyjFAFvMLJgDd+oV26ugLwhKxwahplio/hpV6p+knQO6wH8B8FBLyxPUEe3lg9BLyxesjDm//NKeBN/msiD69+afMpEB/Di5cS+OXlwjXvXeWLAJY/HWvjxo0uzcKFC61bt24uX46eZeo+DPCS3u8Q0aJFCweuABVghRESAPDi9cXTSVwr9yMEAAAFxs8666x8wOvBzAMvoQ/EwHrgJc4UiJ8zZ44BiH7633ungwIR8wp0MkXftWtXF8pBOZIBLyEFQC7lYzBAWQl9wPDsMu1P/DBwHjyq10M8n/FdD5VBPTp27BhzBC/QT9sELZieXTa4PwOHmTNn5vPwxgNvurp6T7nvD/HAS8gDGibrJ4RAxNunn35qH330kYtdpqwlzQS8At5UfV7AK+BN904U8Ap40/URXQ8o4IEXDy1Q+NNPP+V5NDnhB8AhFhfYJHzhhBNOcN49Qg34HO8rgIxxHagDUrH4GN6gh5frHsYAPQB11qxZLq6XcuChBNQIVcC4B3AKpGKEPFSqVCkS8JInkI33lZAA6vrqq6+6/Fist+eesQtS8GQCuXhKAVjCFihfPPDyffKlbMQZYyw4q127tgtJAE7xyJ5++uk2duxYp68PuSCt90L7ZiFEhPAMNCcml3ui0fHHH+80ZsEdIRreW+6/R3rg2ZchGMMcH9IQD7zp6vruu+9a586d3a3wpBOvjCcdY9EaYRGp+gke+XhTDO/vLryHtpWZCwVi0MhC0uJmWrS29VtEHt78bSDgTd4v5eHd+s9ssStBfAwvIARwEnt6zjnnuPLi5SRe1C9G4zN+pIEkDh3AGwvIYcSEEmvLj1c64CVWFej1i+D4PiDH2fHsLuBB1O8awf+BTWKJue9vv/0WGXiDQEh+7PbAZ4limYmVJUSAhXLY3nvv7SAvEfB6uORvYmMvuugi9x3SA4pB7QBuFqMB7Bj5eyAEaAkR8YY3Gu39IMJ/7uOe4zsUEM+OD4sXL3agjieee3svebK9g9PVFUjHC4wnF2MhH+EYmN+lIV0/iS+r7zfe+17sHo4MF0ge3liBBbyxesjDG6uHgDf/C0nAm/wlLeDN8A9YrmdPuANbdBHWANgG9+jlx5s/iaau0+lCvsuXL3d5AnzxxuIxoA1vGBBXkL2Bg3kC5Hhdq1evHsqbhGeZsqXyPOHxBFyZngd6441rfjuvgniwAE52RWCggTc1mVeQhWAMJPC0U0fisfku8c5+QVuq9khXV/Jkq7pE7eTzTdVP0vWFknRdwCvgTdXfBbwC3nTvQwGvgDddH9F1KZCzChACwn7EQQNOCdlg0Zys+Cgg4BXwCnjDP4/y8MrDG7636GjhKFoprRTISgXYmozQArZawxNLyMZxxx3n/i0rXgoIeAW8At7wz6SAV8AbvrcIeKNopbRSQApIgYwqIOAV8Ap4wz9iAl4Bb/jeIuCNopXSSgEpIAUyqoCAV8Ar4A3/iAl4Bbzhe4uAN4pWSisFpIAUyKgCAl4Br4A3/CMm4BXwhu8tAt4oWimtFJACUiCjCgh4BbwC3vCPmIBXwBu+twh4o2iltFJACmRAgenTp+c7MIPbcFQz+xuXJBPwCngFvOGfeAGvgDd8bxHwRtFKaaWAFMiAAm+88YY7SMMfQ+xvUbNmzS3eXzkDxc1olgJeAa+AN/wjJuAV8IbvLQLeKFoprRSQAhlQAODlJLipU6dmIPfsylLAK+AV8IZ/ZgW8At7wvUXAG0UrpZUCUiADCgC8nP52zDHHuJPzOPK4fv36JXKfYAGvgFfAG/4lI+AV8IbvLQLeKFoprRSQAhlQgEMxgN6qVau646LnzZtnp5xyinXu3DkDdyveWQp4BbwC3vDPqIBXwBu+twh4o2iltFJAChSBAhMmTHDxvNOmTStxXl4Br4BXwBv+JSPgFfCG7y0C3ihaKa0UkAJFoMCcOXOsa9eu2qWhCLQu7rf4448/bPPmzVaxYsViV9SJL022WfOXWLVd9iyysn3/7df2+4rPbeyLw4vsnsX5RgJeAW+U/llqM28TmRSQAlJgKykwfPhw23///e2www6z//znP9ahQwcrW7asDRkyZCuVaOvdVh7e7PHwjpswyabMXGA77LRLkXWYZT8usf+tX2oTxrxYZPcszjcS8Ap4o/RPAW8UtZRWCkiBQlfg0Ucftddffz0v3913390efvhhq1GjRqHfq7hnKODNHuBdvXq1vT5jZpGG3Xz11df265qVxjMjMxPwCnijPAcC3ihqKa0UkAIZUYCp6xUrVti2225rO+ywQ0bukQ2ZCnizB3i3Rn9655133ODwwQcf3Bq3L3b3FPAKeKN0SgFvFLWUVgpIASmQQQUEvALeVN1LwBurjoBXwBvldSzgjaKW0koBKSAFMqiAgFfAK+AN/4AJeAW84XuLdmmIopXSSgEpIAUyqoCAV8Ar4A3/iAl4Bbzhe4uAN4pWSisFpEAWK7Bx40Z7bvQk2/jX38W2Fn/++adbBFW6dOliW8aiLNjff//TVmgiM1uyZIltWr/W+vfVojX6g4BXwBvlvaCQhihqKa0UkAJZq8CXCxdak45P2Loy1bK2Dip4yVbg7/W/Wu2KK+3lsSNKthD/V3sBr4A3yoMg4I2iltJKASmQtQoAvC26vWD/LV90BwVkrVgqeLFU4O/fV9t+pRbbxFHPF8vyFXWhBLwC3ih9TsAbRS2llQJSIGsVEPBmbdOp4P+ngIA3tisIeAW8UV4OAt4oaimtFJACWauAgDdrm04FF/Am7AMCXgFvlJeDgDeKWkorBaRA1iog4M3aplPBBbwC3pBPAcezl+TDe1LJtMXAi7h//fWXVa9e3UqVKhWyScIl++WXX+yDDz6wsmXL2tlnn20bNmywWbNmuS+fdNJJtv3224fLqJBS/fDDD/bhhx+6FcPnnnuuK1c6mzt3rv322292yCGH2N57750uedZfL0gbFTeN2Nx97dq1dtBBB1mtWrWyvk0SVaAgffmLL75wq8R32203q1OnTtbpIuDNuiZTgeMUUEhDrCDy8MrDG+UlUSDgpZONGjXKRo4c6WDXGxB42223WaVKlaKUIWnat956y7p16+a26OE4xWXLllnjxo1d+j59+tjhhx9ud955p7Hd0O233+6gMlP28MMP2+zZs/OyHzduXAxw//jjj9ajRw93vV+/flauXDn374YNG9qqVavslltusSuvvDJTxduifJOVvSCZJmqjdPkUN41uvPFGW7p0qd1www12/fXXpyt+oV4viv6cri9ToUTlePTRR91zCOz26tWrUOtdFJkJeItCZd0jkwoIeAW86fqXPLzJFSoQ8D7++OM2ZcoUl+vOO+9s2267rX3zzTfu//vuu6899dRT6dok1PV44MV7yGfYiSee6IATyAbAH3jgATv55JND5Rs10R9//GEXX3yxuw9gjdcPuA7uDblw4UJr1aqVy3ry5MlWsWLFrAHeZGWPqhPpE7VRunwEvP9foUz35zB9mdIkKoeAN11P1nUpkFkFBLwC3nQ9TMBbiMBLmEGjRo1cjqeccop16tTJhTLg8XzmmWfc5w8++KALOWjbtq3zbt58881Wt25dY6r46aeftmrVqjkPLdOjXbp0sZUrVzpPcYUKFezQQw+1du3aOZiNB95169Y5DzLWvXt3GzRokL333nvu/0A3f/CiUhasf//+Lp+vv/7aeYoxYH277baLUQSQ5TsTJ060NWvWWOXKlV15b731Vle3m266yX2OAfinnXaa89h6W79+fb40wPCwYcOcVmhAfsuXL7fvvvvOjjrqKJf3Xnvt5bL49NNP7YknnnB6YAwa7rnnnoTT6UENTj31VJsxY4b9+uuvLuSDuuNdZur5mGOOcXC+yy67pNQZT3R8/XzZV69e7fT6+OOPDVCi7s2bNzfuGywHn73yyivGJvG0Z7CN9thjDxswYIC9+eab7jt462l/vKdAFRYPvN9++629/PLL9v777zvdacMLL7wwobd1+vTpNmTIEBeCQDvSB84880xXd4xZiDfeeMNpuXnzZps/f77tueee1qRJEzvhhBNcGtqkZ8+e7m/u5fNK5uH1eRKiwkEBCxYscN/DK+rzbNGihfMSoxuhLzVq1LA77rjDhUkk0462iO/PPAtoOH78eKcHfYTB1MEHH+yegXjb0r5Mfvfff3/CckydOtV5eKk3ZUqk5YoVK5L2mXQv6kxfl4c30wor/0wrIOCNVVghDfl7nIA3+VMY2cPLtD5TohiA62Mc6XgeYC677DIHdJdccon7cW/durU1aNDAXn31VQdkAOVLL73kQOree++1/fff3+UHmJLPFVdc4cAqHniJhb388stdWsAZoIwHBCC7ffv2DqCbNm1q11xzjbsn907mfR4xYoQ9//w/+xoSJvHll1+67wPfgHI8EAJ8lC8K8JIW2KN+2BlnnGH33Xef84wDRxggDdB8//33DtzGjBmTL044qEGiZg3ew7dDKp2Zsk8EvAMHDnRQ+t///tfpQJt5rQcPHmw77rhjXlv4cvAZ14JttM8++7j6AeVAH3UDYinnhAkTrEqVKjHAe95559m1117rQBGo2n333R3A8/eTTz6Zr8pDhw51sw377befi5UGWjHCS4B+75WM/yKAyiCHwQr9zYfmcB/CMrBkwBvMk3ZCIwywBQoxBiCAIff56quvXH14VnhmErUh2tWuXTshaDJjQp+kDWgLNPz5558N2I+3Le3L5JcOeJNpiXf/uuuuS9pnatasmfxNVARXBLxFILJukVEFBLyx8gp483c3AW/yRzAy8I4ePdqADAxo5UfYG4DFjz+hBYQYpANePIKABkAA6E2bNs3w7gEReFvTAS8wlWjq9bHHHnPgseuuuzqQJRwB4AAwAc14A8a5fvXVV1uzZs2cxw4Qx4YPH+6m6b1HNz521+eVLqQBCAT8gBdAz0P/Qw89ZG+//baDO8ATGMKrigGdfjDg7xOEJbyShx12mPPsMrAAsii3BzLyfO6555znNZXOicqOfugImKIbnm7uRz54Ry+44II8sEVfBgp4hgGyeOBFP7zcQBswiYcUu+uuu6x+/foxwAukeq3r1atnp59+uvOKMgsQrwV50G7k/8knnxjexRdeeMF9xuABcPNaMNhBT9qW+mD0DQYDffv2df+nbUiXLobX50ld0YiBmvcoMxCjX1Im6oq23NPHf1N3ZjK8RkHtmBVJ1J/PP/98pztl43uE0zCAQJdM9GXyTBXSkEzLjz76KGWfwZO/NU3AuzXV170LQwEBr4A3XT8S8BYi8M6cOTNvcRZTyX7nAUZawAt/A43AowdeYlsvuuiifB7ezz77zAFacOEbRQUI8NoVFHiBZu+B9ZCJ943Y2vgz2bk3QIERnoH3FmgH3jE8hTvttNMWA69ftMb0eu/evfMW4qEVHrtE5kNDgtfivdzAlc/jqquucuEjLCjE+03oAP9Op3Mi4CVchEFHImOAABTGgy1p48uHV5N6zJs3L19WLVu2dIOR+JCGRJowY+DbJJgRgy5ANt6OP/54NxMRH3dKmAZefww4JSSEQYwfZPF5WOANLt5isIHR1wn1IXzBe4qDZXv22WetatWqCbVLBpp+kBTMhxAZwkeCVlh9OVk50mlJuEOqPsNMz9Y0Ae/WVF/3LgwFBLyxKsrDm79XCXiTP2mRPbxMpfqV62eddZaLt8WIuSQO1YMEIOY9vkxzAhHEeRJX672bhB/gmcNT1rVrVzed+8gjjxQIePHm4dXz5qHF/x/49l64eDm8Nws4BuKYFvdeRqboif2M4uHlRx+AwuJhzg8Y/M4ThF+w9RpT6d6zy/fotGz1FvSg83ki4KVslNkDr/fCe+BNp3MQeH3Z8UL7xYd4Qn052BGDlww7cYQBXrzLXndW9h955JEOOAlrSAS8DJp8rO2///1vF/ftY39fe+21mK3vgoMswiCIl8ZbC8QmA17ic/1uGQAv23P5+G682gyMogIvAxYgHaMf0xYMONCMMAxibmkbLCzwBvsznmti5+fMmePiZokNxrxHOtifC6MvB4E3WI544I3XEk92qj7DjAshF7Qvzyox7LQVse0HHnigHXvssc5LDzhjtBOD38IyAW9hKal8tpYCAl4Bb7q+J+AtROAlKxacAR8Y0+bAHdCEHX300Q5aMT9dD9wRY7l48WIHSx54fawgi6HwGhLSgFcsiocXSCUOlnIwHQ4wMeUa7/kD2oDKRIYXFxAFdgAT9vqlHAAjU9AATTrgZRqdOmD8cBOTyZQ9sB/cliweeIEYIAnDG3rEEUc4AAD+/fR4sMwFAd50Oicqux+k0F7EobIYiwVaAKhfcBYGePGoE0uNMQACgPG0Y4mAFw06d+6cFwNLuAceat9nglpQNvIEiOl3TPGzuIv6hAVeFvUxGMKoJ/cH3LB0MbyUiftQRr/ocuzYsQ7Y8DrT78nj888/d6CKpQPe+P7st/pjVxLCRn766Sc3U+LzYgFe0AqjL5Nfoudq0qRJMduSxQMvelDfZH0GgPWecB9exEwMMzI+HCcYTpQsfCjdCz/ZdQFvQZXT94qLAgLe2JaQhzd/zxTwJn9aI3t4yYpOBggyXR4MRyAGFU+bN0CF6Wx+GPnxB0QXLVqUBy/8u0OHDu46RngEcBkFeDm0AK+eXzjkFyuxGInpcozYz0TT3r6cABPf84uy+ByABtjxQhFfTKgAlupHGG8wwOUXpgHweMNTAS95AoB8F1DzBjCzuwGDgaAVBHjT6Uz+icrOYjEGN8GpeQYFAHSiWF3ySVS+4CIvBhF4d9HIh7oEveCECTD17fsV/eaAAw5waVnUFW94ZZlZID1lYwcO9AYQab90XklmIqg7oIqhO32HtkgHvMEFggz6uB+68N02bdo4kMPo937bPmKqSZtosEDa+P6M95k28LuEkIbFf2jm4TGoSWH15UTPFSFGwX1444EXLZmxSdZniFGOB14P1h54iQNmh5J0z1ryV1ryKwLegqim7xQnBQS8sa0h4M3fOwW8yZ/YAgFvMDt+GIFajB8voITpbjy63gAmPGnbbLNNwpIwRQto+L1rC/KCITaTbZ18KEHwAISOHTsaC6DSGQuN8K5SloKe4sYDCHARpxl1OpaFSPzh3ny/sC2dzsnKji4sGsODhzYFOVHv999/N/4wrR3GgCngGQ8mYJnK8BrTbnjwk/WxdPeMUr4gRNP3AWTivOONfoCHuyB9Kb4/cw/yI8wlzHNSGH2Z+sSXI52O/nph9Jmw9wqbTsAbVimlK64KCHgFvOn6poA3g8DrV+0T2+uNGE0/jZ2ucTJ1nVhhYobx+rEArqAglKnyKd/sVSDbD2DIXuW3rOQC3i3TT9/e+goIeAW86XqhgDeDwEvWQC+xqMQX4mUl3tPvz5uucTJ1ncUweAgJSSC2VyYFCksBpu2JRyfshRheWXYoIODNjnZSKZMrIOAV8KZ7PgS8GQbedA2g61JACkiBra2AgHdrt4Duv6UKCHgFvOn6kIBXwJuuj+i6FJACOa6AgDfHG7gEVE/AK+BN180FvALedH1E16WAFMhxBQS8Od7AJaB6Al4Bb7puLuAV8KbrI7ouBaRAjisg4M3xBi4B1RPwCnjTdXMBr4A3XR/RdSkgBXJcgaXLllnzdj1s4+YyxbamnEJXkG3/im2FtrBg6IFJk3+E/P3XtVZrpzL24nODt1DZ3Pi69uHN344CXgFvbjzdqoUUkAJbpAA7t2z63/+2KI9MfpmDQ9jphu0UZWYcZQ70Rt3TPFe1e//9923e3LnukBvZP4dgcegUBw7J/lFAwCvg1bMgBaSAFCj2CnAASvny5QW8/9dSnFoI8IY5bKXYN24hFJCj3Tnt0B/2VAhZZnUWAl55eKN04C0+aS3KzZRWCkgBKSAFkisg4I3VRsAbq4eAN1YPAa+AN8rviYA3ilpKKwWkgBTIoAICXgFvqu4l4BXwpnv9KKQhuUIC3nS9R9elgBSQAkWkgIA3u4GXeNK///47Y73FxfDOm6cY3v9TWB5eeXijPGwC3ihqKa0UkAJSIIMKCHizF3jXrFljXR7oYps2bcpYD/l5+c9WqXJlGzF8eMbukU0ZC3gFvFH6q4A3ilpKKwWkgBTIoAIC3uwF3p9++sm6dutmlSpVzFgP+fHHH9mkzcaPHZuxe2RTxgJeAW+U/irgjaKW0koBKSAFMqiAgFfAm6p7CXhj1RHwCnijvI4FvFHUUlopIAWkQAYVEPAKeAW84R8wAa+AN3xvMRPwRlFLaaWAFJACGVRAwCvgFfCGf8AEvALe8L1FwBtFK6WVAlJACmRUAQGvgFfAG/4RE/AKeMP3FgFvFK2yPi2buG+zzTYJT3Fau3atscfjeeedZ6VLl85X1/nz59u2225rBx54YNbrkKoC69evdyddoVMmjFOjVqxY4Y7CLMrjUvlhoP0rVarkqjV9+nQ7/PDDbZdddtniasbnvcUZluAMBLwCXgFv+BeAgFfAG763CHijaFWs095yyy12wAEHWNu2bfPK+dFHH9k999xj48aNs+23397OP/98u/jii6158+b56vLqq6/aU089ZVOmTElYz0suucRuvPFG4+/CNMr93XffWcuWLV3ZsMWLF9utt95q48ePz+gZ6T169LDTTjvNTjrpJHffH374wZo2bWp8fswxxxRmNe3bb7+1Rx991L755ht3/ju2xx57WIcOHWz//fcv8L3Y97Nz585233332c4775w0n5deeskGDhxotPO6devsqquucu297777Rrp3ovsF8y5Xrlyk/JQ4VgEBr4BXwBv+rSDgFfCG7y0C3ihaFdu0bHRev359u/fee+3ss8/OK+fzzz9vL7/8sk2caam0GQAAHwNJREFUONGdR//555/bnnvu6eA33h5++GHjx/aRRx7Jdw2P5HXXXWfPPPOM1apVq9B08OXG0wn09enTx+VNeUeMGOH+zpQBfcB737597bDDDnO3of5LlixxA4eyZcsW2q3nzp1rDz74oBtwNGzY0HlVgfwBAwa4/x933HEFvheb0D/wwAP22muvpfRK04Z48dF59uzZ1r17d5s2bVpCb36qwiS6XzDvAldEX8zrg8wwFGb/y2Zps+loYW1LVvQ9TcAr4I3S67RoLYpaxTTtl19+aa1bt3aQGJyivvPOO61q1aoOthYsWOAAa9iwYa4W//73v+3JJ580trkBgAHAG264wa655hr7888/rV+/fvb222+7f1erVs1WrVrloKpUqVL22WefubyAwxo1ajiv6IknnuiA8eabb7bjjz/e3n33XQdYgPgdd9yRULkvvvjC2rRpY61atXL54X3EQ4jHkrAKQA4D2seOHevKcMQRRzhv8F577eWuEYYBiC9dutR23HFHq1y5svNEn3rqqfb666/bkCFD7LfffnOf48m9++673dT+9ddf78rHd8qUKWNdunQxTjH6+eefXZrGjRu7ctepU8fdZ+XKlXbXXXe5P3yWqkzBym7YsMF5UwkVuf3222N0YBDCn40bNzq9qQugc+GFF1qTJk3y2umxxx5z+lIfQi3w0KPrJ598Yh07dnT1wbuLZujIfdAAsP3+++9d3niXTznlFAfdpJk1a5YbvNCW++23nxss7b333rZ69WrXlxgI+L7EYIhQFmA5/n4MqvjM5019k9UlXf+gzzz99NO2fPlyq1ixop1xxhmuLCXJ5OGNbW0Bb6we2pYsVg8Br4A3yu+DgDeKWsU07ejRo23o0KF22WWXxZSQqWbgiM8HDRrkoBc4BHaZAm/UqJHVrVvXPv74Y3e9f//+dvDBB1uLFi0McAEsAcWePXu60ILHH3/ciOW9//77Xb6A7ahRo9xnY8aMsffee89dO/roo533lPvhpR05cmTC6XbKDThSdsIZAHOgNBg+AbBOnTrVgXHNmjWtW7dubhq+Xbt25j2nADdloV7Uj7oAcTNmzHAAyffwvgDQvXv3tkMOOcTdCy8r+WAA3W233ea8rYRZXH311a4ceGAxQg+AQYAsVZniuwhhGYMHD7YJEyZYlSpV8vUgXtg33XST0xnwZxABbPq2IAyBdrzooosc9KIlEIuunJlOW+Gh5jp15TPgnXhrIJt8aX+u045HHXWUg2lOhQKKGcwAw4R2MEB66623XEiH9/5SPuCa+hPzG38/oLlBgwYu7yOPPDJlXVL1DwZc6E7ZKAshIPQfNClJJuAV8Kbq7wJeAW+69yG/ATvssEO6ZCXyuoA3B5q9ffv2LjYUkPMGnC1cuDAvTtODClAH6AKW3uOIZxFIAnKYsma6m7hfvMMY3s569eq5vwFBpvzJAyPuFYgEyoCxf/3rX3leZIASiBk+fLjtuuuu+ZSm3IA08E1ZCLcgPV5mwJWpXe4J0AJTGF5mAJs8r7jiCgdygBs2Z84cB8RBWPv000+dNuiBl7hXr17OQ8v98FgC0thff/3lvJ94M4FnykT9+dsPEABdoDJZmah/vJEfGlGfRAbMA7foh1cTw/tM+xDHjB6Ul39jADSefNJzhClQC8iffPLJ7jqwTxswiMBzjflY7smTJ7vPqCdtfOyxx7rrAO/XX3/tykhZiKHGC4yhHX2HAQ1tFX+/YN54jVPVhfyT9Q+81fQjwloA65JqAt7YlpeHN1YPAW+sHvLw5n9TCniT/3oIeHPglxUPGzG2gKK3V155xUEL8Iede+65DmrxfAJUzz77rANMD0ne+ws8EVsLqGH84HgPHtPmeCMJYwju5ACocS9gGk+pn4ZmCh4AAuoSGfkCcgAYgP3CCy+4kAHiiAFbAI2wC+4XNACQ7wLCQe8x3lAAl8VYTNUzTU98MGEQLLbCk02egLT3WuJNxEiPh3PSpEnOEwvcAtZPPPGEXXvttXbWWWc5rzYe6WRlig9ZIF++w2g7UWw01/GIA6E+fIPPaEs0YXBBOb3nm2vBWGsGNHhA8R77wQlwysAn6Bkl7ABvN4MEX0/q4XdsIH9CKygDHlY8yYSmYIA17YJHOdH9gnmnqgt1StU/aB9CSfDsMqigv6Knh/YceExDVUHAK+BN1VEEvALedC8SAa+AN10fydrrv/zyi/O2+ilwXxHAiFhIIBDvHfAAVH711VcOsny8LOm999fHfuL58/AW9OARK0wIAJ7S+CmT4NS3h0i8qZTPL0YLikysbBC8/f/32WcfF8cLQOMRfPPNN513Md789DhAxrQ9FvSGMo1PXCkQiwF7b7zxhvsbqAJECanYaaed3PUXX3zR7VBBiAaGtxKPI9AJHJKWcqUqU6JOBHQDmQxAgoME9CI+msHBQQcdlFdOv0AQzQA/rgeBlvJceumlbnBDe9IW/I0lagM+RwN2hAAoGSBQFl9PPNuEk9DeQGY8YAPB5PvQQw/lu1983uifrC6HHnpovkFGov6xbNkyp/1zzz2X523P2oezAAUX8Ap4BbzhHxx5ePNrJeAV8IZ/grIsJfupAg54coPeMMAIrySeOqbBgUbAyIMlIAUQ4kll+ttPi+Pt81tosUiMBVPE8wKKHo5YTATcAHCEEbDwq3r16nlT3/wfw6vHFDhgG2/AJ4ubgt5f4mW5JzCH99aDOsDG7hMsMgNwATS8k4AfcE0cMpBEaAblJ04VD3CzZs1cWkISmLYnHdDH4igWxuGdJNYVjy6hCz68grISJ8v3seA2ZanKlGhbMNqFmFzKT7122203+/DDD10sMIu9Zs6c6UAcrzTtx4CChWkMVGgz2s4DLV5QQN4PbvA+szCNtgGegWU85kGQp/x4i1mAd8455zivN157gJo9h4m9XbRokfsO/yd/vPgsnKNvAfg+Djz+fniVg3kTq5ysLsHQiPj+ceWVV7o4Z0JFaA/6FAO2wt4VJBsebQGvgFfAG/5JFfAKeMP3Fm1LFkWrYpkWcMFrG4wR9VtuEc/KIiw8ungLCWnA+D8eUoxwAabJ/J63wZX/wAdwBOACihiACmABphg7PABNfM9PffM5kEx8bbKYTAAUD3TQ++sXaAUBk4VygBflwNhJAFgECvFSA2qAN/WgTj4kAWACBjEWVhFP7LdtIy/CFABIvguUAsY+vILv+PhYpvfxbgYtVZkSdRJ2xgBe/f67fsqeRYHs/kC7MMjACL8A2vFas1AMsKe9MOJfO3XqlDe4YZs5QkDIF88q7YRnlEGBNxbrAbA+jhpAxRi8+PZnwMTitfi+QXgKYQx+EWD8/dAzmDeDqWR1CYZGxPcPdoMAqum33gtO+IPfl7lYPngZKpSAN1ZYxfDG6qGQhlg9BLz5X0Ty8CZ/OSuGN0M/XMU9WxZxEcuabOcA4IWFZolOXaNurPLnWqI9fTNRd0Ij8Cj6hV286HzZiD8FBIk9DsbKApOAsfcoxpcLDcizoHuexpcpVb0pL4MEys9AIlFZgFtfv7AaAua84KhjsrZKlBfeYOqdaDUv5QS4E5UlzP3QtSB1wYMPiAPfbH9XEk3AK+BN1e8FvALedO9FAa+AN10f0fUsUwDPMKEBeHYJPwD28Lz6mNwsq46KKwWcAgJeAa+AN/zLQB5eeXjD9xaFNETRSmmLkQLEnRJGgXeXLbx23333YlQ6FUUKFEwBAa+AV8Ab/tkR8Ap4w/cWAW8UrZRWCkgBKZBRBQS8Al4Bb/hHTMAr4A3fWwS8UbRSWikgBaRARhUQ8Ap4BbzhHzEBr4A3fG8R8EbRSmmlgBSQAhlVQMAr4BXwhn/EBLwC3vC9RcAbRSullQJSQApkVAEBb3YDb/sOHaxsubIZ6yPsnlOhfAWbNGFCxu6RTRkLeAW8UfqrtiWLopbSSgEpIAUyqICAN3uBl20ROcjn93XrMtZDOPjmt19/dQfpyP45XZL91Dk0SPaPAtqWLHlPEPDqKZECUkAKFBMFBLzZC7xF0YU4TfL11193h9PIBLyJ+oCAV8Crd4MUkAJSoNgrIOAV8KbqpALeWHXk4c3fWwS8At5i/0OnAkoBKSAFpIAUkAJSQApkRgGFNGRGV+UqBaSAFJACUkAKSAEpUEwUEPAWk4ZQMaSAFJACUkAKSAEpIAUyo4CANzO6KlcpIAWkQFoFiEFcs2aNlSlTxrbffvuE6VmF/tdff9mOO+6Yd53P3n77bTv33HNtm222SXufbEuwadMmK1WqlJUuXTpf0RPpQaI33njDjjzySNt5552zrbqhy/vnn3+6/rLLLrs4fUqCcXw8/YFnJN54flasWGHVqlWLub5kyRJbunSpnXzyyTklUZj3xcqVK61KlSpWsWLFEvO+CNvIAt6wSimdFJACUqAQFWABEqvt+RHDatSoYXfeeacddthh7v/r1q2z9u3b28KFC93/d911V+vbt69Vr17dFi1aZLfddpu9/PLLVqlSpUIs1dbPasOGDXbDDTfY9ddfbxdddFFegVLpQSLgv1OnTla3bt2tX4lCLgHQ9+STT9pLL73kci5btqx1797dAX6uG318yJAhNmXKlJiqvvXWW9ajR4+856dp06Z2zTXXuDSjR4+2V1991YYPH54z8qR7XwD5d911l9umDTv++OOtS5curq/k8vsiSgMLeKOopbRSQApIgUJS4N1337VffvnF6tWrZ3/88Yd17drVPNhwi2eeecamTp1qTz/9tIPali1bOih++OGHc/YHrFevXjZ9+nSncKtWrWKAN5UeuQ68CxYssHvvvdcB3hFHHGH9+/e32bNnuwFPIi94IXXRrZrN999/b23atHEDvwoVKsQAL4OiSy65xBo2bGiNGjWymTNnWu/evW3YsGHuGclF4E33vmjevLl7TzAQWr58ud16661uUHzxxRfn7PsiagcV8EZVTOmlgBSQAhlQAO/dwIED3eEFhCnwY3766afbLbfc4u42bdo05+Fl6n7x4sUxHt6PPvrI/eC3bt3aeXay1dhSaePGjXbzzTe7P0EPbyo9mN4PenhXr15tHTp0sBNOOMFuuummbJUjr9wcNMGhE0A/xjT+ddddZ/369bNDDjkk6+uXqAIc5LFq1SqbMWOGjRkzJgZ4Z82a5cAOL265cuXc1y+77DK79NJL3cxAPPCOGjXKDaQYMBAOkgsWfF/g1b3yyiutZ8+edtRRR7nqMTBmQD1gwIB8wJsr74uo7SjgjaqY0ksBKSAFMqAA4Qt4tfhxxgA4QhzOO+889//PPvvM/X/8+PEOeHxIA9+54447nKeLH/tcMLx3TZo0iQHeVHpw0pYHXkJCGCTsueeeDgASxX5mm0Z33323i/G+//7784p+9tlnO6hnUJTLxizHoEGDYoAXoB07dqxNnDgxr+rMCOy9996GVkHgJQ3fD8JgLugVfF8wAMajO3LkyLwY9ueff94NnnmfBEMacvF9EbY9BbxhlVI6KSAFpEAIBYjJHTx4cNKUZ511lu27774x1723hpjek046yYU2nHPOOTFA43/U+CFjmhfg7dOnj91zzz0udrE4ezKpH96mRIaHMj7uNh540+mx++675w0Q+NHfaaednMeb+MVcMKara9eu7WDOG4BPmEuDBg1yoYpJ65AIePF04+X1g0O+jDaVK1d2cfEeeK+99lo3K4I3+Nhjj80ZneLfFz7khcGwP2YZDXgWiH32wJst74tMNZSAN1PKKl8pIAVKpAKsKGcKOpkRU3fggQfmXSYWk+nHZs2a2dVXXx0DNCxCAWww7+GdMGGCg0eAl/hNVmPj7fJTu8VR9BEjRrhV84msTp06Du6DlszDm0yPqlWr5unkBxw1a9YsjlIUqEzJPLwdO3Z0MeC5bAX18A4dOtTJAugCvLliid4XfjD84osvukWtWCIPb7a8LzLVVgLeTCmrfKWAFJACaRTgx/yxxx6z22+/3S3CCVp8zKpPG4zhbdy4sYtvPOCAA4wFX7mygCkR8KbSw8fwsg0VgwEW7QA8O+ywQ070QQZQeOlYwIhRR0JYcjmG1zdcIuBNFMNLn7n88svzYnifffZZFxbDDg/MfuDtzXZL9r5Yu3ati+HlHcAAEnvooYeMLcqCMby5+r4I264C3rBKKZ0UkAJSoBAV8LGFLD4644wz8nJmv1320fS7Ejz11FNu9TUxiol2aQB+WrRoYaeeeqrh8ctmY79hPOSEaBCPfMEFF1j58uXdnrOp9KDOPob36KOPzlvo53e4yGZNKPuHH35o7dq1c55KdmlgkDR37tyc3qWBMBYWMBKHyuBl3LhxbjEnYSrs0sCCRiAW8H/zzTddeE+iXRoYIBLe0rZt27x4+GzsD+neF8StE9LRrVs3N+BjBijRLg259L6I2o4C3qiKKb0UkAJSoBAUINYQaIk34BVPFXG6bEXF6nyMAxUAHf72U5iTJ092IQ2ffPKJ+0HHy+N3dSiEIhZ5FtSBugQN0K1Vq1ZKPTzwdu7c2R02wG4P7MuKVuxfm+2eb+APT53fi5b6PPLII3nevCJvqCK4oY87Dd6KwQz1xtiKjF0XvAW9uPG7NDDVj8cXGDzuuOOKoPSFf4t074vvvvvOLWrlvYEF9+HN1fdFVJUFvFEVU3opIAWkQBEqwHQlnk8fm1eEty6WtyrJerBfM1uusUivpJy0lqoTEq+9bNkyt9VYrixQ3NKH7ueff3YzRPyRxSog4FWPkAJSQApIASkgBaSAFMhpBQS8Od28qpwUkAJSQApIASkgBaSAgFd9QApIASkgBaSAFJACUiCnFRDw5nTzqnJSQApIASkgBaSAFJACAl71ASkgBaSAFJACUkAKSIGcVkDAm9PNq8pJASkgBaSAFJACUkAKCHjVB6SAFJACUkAKSAEpIAVyWgEBb043ryonBaSAFJACUkAKSAEpIOBVH5ACUkAKSAEpIAWkgBTIaQUEvDndvKqcFJACUkAKSAEpIAWkgIBXfUAKSAEpIAWkgBSQAlIgpxUQ8OZ086pyUkAKSAEpIAWkgBSQAgJe9QEpIAWkgBSQAlJACkiBnFZAwJvTzavKSQEpIAWkgBSQAlJACgh41QekgBSQAlJACkgBKSAFcloBAW9ON68qJwWkgBSQAlJACkgBKSDgVR+QAlJACkgBKSAFpIAUyGkFBLw53byqnBSQAlJACkgBKSAFpICAV31ACkgBKSAFpIAUkAJSIKcVEPDmdPOqclJACkgBKSAFpIAUkAICXvUBKSAFpIAUkAJSQApIgZxWQMCb082rykkBKSAFpIAUkAJSQAoIeNUHpIAUkAJSQApIASkgBXJaAQFvTjevKicFpIAUkAJSQApIASkg4FUfkAJSQApIASkgBaSAFMhpBQS8Od28qpwUkAJSQApIASkgBaSAgFd9QApIASkgBaSAFJACUiCnFRDw5nTzqnJSQApIASkgBaSAFJACAl71ASkgBaSAFJACUkAKSIGcVkDAm9PNq8pJASkgBaSAFJACUkAKCHjVB6SAFJACUkAKSAEpIAVyWgEBb043ryonBaSAFCiZCvz999+2cuVKK126tFWrVs222WabkimEai0FpIBTQMCrjiAFpIAUkAI5o8Ds2bPtmWeesYULF8bU6bzzzrMWLVpYjRo1Ml7XTZs22YwZM2zKlCn2xBNPhLrfbbfdZu+9955Le+2111rbtm2tV69eNmbMGPfZ0Ucf7epVWJaojHx23HHH5d3i0UcftdNPP72wbql8pMBWVUDAu1Xl182lgBSQAlKgsBR45JFHbNy4cUmz22GHHey5556zPffcs7BumS+fzz77zDp16mQ//PCD7bzzzjZt2rRQ9wLG58+fHwO8PXv2tLFjx7rP6tSpY0OGDAmVV7pEycoo4E2nnK5nswIC3mxuPZVdCkgBKSAFnAILFiywZs2axagBJK5du9a+++67vM/POussAyQzZSNGjLDHHnvMZR8FeD/44ANbs2aN+x5e6AMPPNCVMxPAm6yMmzdvtjfffNP4GzviiCNcHWRSIBcUEPDmQiuqDlJACkiBEq5AmzZtbO7cuXkq9O3b10477TQHbz169LAJEya4ayeeeKIxVV+hQgX3/5kzZ9r48ePt008/df8/6KCD7NRTT7VrrrnGypQp4z579tlnXTrsyiuvNOKDyY+wiYMPPtjat29vhxxyiA0ePNiFIPznP//JKwfXCQto0qSJdezY0Xl+sYYNG9qoUaNsyZIldvXVV9u6desMzyt27rnnWqNGjWKAFwAmrGHq1Km2ceNGO/nkk+3uu+928ckY9ffAfP3119s555xjH3/8saurt6FDh9rzzz+ftIw33nijNW7cOC89eR5zzDHu/3/99Ze9+OKLNmvWLKcV3vJDDz3ULr/8cjvllFNcmtWrV9sdd9yR9/3evXtbv379bN68eVa+fHlr0KCB3X777Xm6lvAuq+oXsQIC3iIWXLeTAlJACkiBwlegfv36tmLFCpdx7dq1bfTo0Xk3+fXXX23ZsmXucw+xXOzTp4+DuEQGXBJ/W65cOevevXseMFeqVMnWr18f8xXg79VXX3VgTdxuvF166aV2//332xVXXBHjbfbpgMD3338/ZUhDojLusccerlxly5Y1PNcetO+55x4H7IBm69at877K/wn7SFbG++67L2EML4CN9/yLL75IqNVNN91kLVu2tJ9//tkuuOCCvDToEoR/LnAPdJBJgaJWQMBb1IrrflJACkgBKVCoCgBkJ510Ul6eZ599tgO7VEa8LHGz3vCg4i0Neonvuusuu+6662KAN1mehAm8/fbbLgQh3sNbr149a9q0aULgBaAnTZrkgDhVDC/3JS2e0mD+Xbt2tfPPPz808L7wwgtJy4iHN9GiNRbLPf3003lVx2P9008/2aJFi/I+Gz58uO24444xwOvLHBwg4HXH+y6TAkWtgIC3qBXX/aSAFJACUqBQFYgH3jPOOMOYTk9lQe8uIMnuDmxhFtwtgRjWYcOG5QPe119/3YUm3HzzzXm3ePzxx12YQaoY3qCHl3tOnjzZtt9+eytVqpSD73TA+9prr9l2221nZ555Zp6XmdCHO++8MzTwEsqRrIzJFq0Fy81uF926dXNhFcFBRvPmze2iiy6KAV52m6BsaOrrxsBi5MiRhdr+ykwKhFFAwBtGJaWRAlJACkiBYq0AcaTekxgf0sCCMDyoTPvjbQVkAbF33nnH1QmPpY91DXozgVK8tsGQBg9sv//+u4sR9kasKmUIC7x4ZfHOeksHvHvttZfzBGOED7z77rvu3x5AE4U0TJ8+3cUXeyOkISrwopeP4yWfdu3a2VVXXeWyJMyBxYIY9SE0IxjS4DUZMGCA2x0DE/AW68copwsn4M3p5lXlpIAUkAIlQwHiVv3CMmrMHrZ4ejds2OAgzcMt19544w03Re8XstWqVcstXMOIMeU6xoIzpuqDwFu3bl3r37+/y5d/FxR4b7jhBrfQLCzwkg7IJaY4CLe33HKL4V0Nfub38cXrzCK1LQFeBgN4bpcuXeqy8XmzGJDFfX6QQTgEC/qCwEv4BIv5nnzySWPBnIC3ZDyLxbWWAt7i2jIqlxSQAlJACoRWgEMbmDoPGou6PKj5z9kp4IEHHnCLzDp37pyXnO8SXgDcevNQGgV4ieENbnuGF3f33Xe3I488MiaGF0gFVqMAL/BJGb2nl+8C9oQ4sEgtGFNLHDMe3qB5D2+yMh522GEJY3gffPBBF36B4fVmcMHuEkGYxpuLZ13AG7rLKmERKyDgLWLBdTspIAWkgBTIjALE7QZ3Z4i/C7sGcHhDzZo1jXhVPKw+NCBR2okTJ1rVqlUjeXgJgQhuzUW+bN3VoUOHLQbe+DIS5oAHukqVKi6ulvKmMg+8ycqIJzzRojW2G2PrtPgdF/y98HQDvL/88ouANzNdW7kWggIC3kIQUVlIASkgBaTA1leAaXa8n/wJbqGFV/LYY4914QrVq1fPK+h///tftyiNqfegEY/Kdl4+bdDDS5wucPfHH3+4RWrefLwqe/QSLxz0rvoY4eDiL2J2g4veEh0tHDx4grhZdkbwoRnEwgK5wDu2cuVKGzhwYN6WY8AwnthWrVrlldEDb7Iycr9kRwuzSI8QCfbh9YaueMHZ95fYYIAX7bwB44SFDBo0KO+UOMXwbv3npKSWQMBbUlte9ZYCUkAK5LACxNiyL2zlypXTnhb2v//9zx2agNeXk8XYrWFLbdWqVcbCNrbqwktcWEae7JCw0047JcyS6xwSgTc7nRWkjMAyugK71E0mBbJFAQFvtrSUyikFpIAUkAJSQApIASlQIAUEvAWSTV+SAlJACkgBKSAFpIAUyBYFBLzZ0lIqpxSQAlJACkgBKSAFpECBFBDwFkg2fUkKSAEpIAWkgBSQAlIgWxQQ8GZLS6mcUkAKSAEpIAWkgBSQAgVSQMBbINn0JSkgBaSAFJACUkAKSIFsUUDAmy0tpXJKASkgBaSAFJACUkAKFEgBAW+BZNOXpIAUkAJSQApIASkgBbJFAQFvtrSUyikFpIAUkAJSQApIASlQIAUEvAWSTV+SAlJACkgBKSAFpIAUyBYFBLzZ0lIqpxSQAlJACkgBKSAFpECBFPh/4fI/hnRQdZoAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.plot.local_plot(index=629)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also display the features without the groups using the following parameters :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "xpl.filter(max_contrib=6, display_groups=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.plot.local_plot(index=259, display_groups=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Use groups of features in production with SmartPredictor object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictor = xpl.to_smartpredictor()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Create an imput and use add_input method of SmartPredictor object**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>OpenPorchSF</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",
       "    </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>278</th>\n",
       "      <td>1-Story 1946 &amp; Newer All Styles</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>19138</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>Corner 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>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2010</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>1-Story PUD (Planned Unit Development) - 1946 ...</td>\n",
       "      <td>Residential Medium Density</td>\n",
       "      <td>4500</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>Frontage on 2 sides of property</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>Mitchell</td>\n",
       "      <td>...</td>\n",
       "      <td>199</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2006</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>1-Story 1946 &amp; Newer All Styles</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>14536</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>Timberland</td>\n",
       "      <td>...</td>\n",
       "      <td>252</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2007</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>1-Story 1946 &amp; Newer All Styles</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>9600</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>0</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>2009</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 72 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             MSSubClass  \\\n",
       "Id                                                        \n",
       "278                     1-Story 1946 & Newer All Styles   \n",
       "82    1-Story PUD (Planned Unit Development) - 1946 ...   \n",
       "948                     1-Story 1946 & Newer All Styles   \n",
       "1262                    1-Story 1946 & Newer All Styles   \n",
       "\n",
       "                        MSZoning  LotArea Street LotShape      LandContour  \\\n",
       "Id                                                                           \n",
       "278      Residential Low Density    19138  Paved  Regular  Near Flat/Level   \n",
       "82    Residential Medium Density     4500  Paved  Regular  Near Flat/Level   \n",
       "948      Residential Low Density    14536  Paved  Regular  Near Flat/Level   \n",
       "1262     Residential Low Density     9600  Paved  Regular  Near Flat/Level   \n",
       "\n",
       "                             Utilities                        LotConfig  \\\n",
       "Id                                                                        \n",
       "278   All public Utilities (E,G,W,& S)                       Corner lot   \n",
       "82    All public Utilities (E,G,W,& S)  Frontage on 2 sides of property   \n",
       "948   All public Utilities (E,G,W,& S)                       Inside lot   \n",
       "1262  All public Utilities (E,G,W,& S)                       Inside lot   \n",
       "\n",
       "         LandSlope Neighborhood  ... OpenPorchSF EnclosedPorch 3SsnPorch  \\\n",
       "Id                               ...                                       \n",
       "278   Gentle slope      Gilbert  ...           0             0         0   \n",
       "82    Gentle slope     Mitchell  ...         199             0         0   \n",
       "948   Gentle slope   Timberland  ...         252             0         0   \n",
       "1262  Gentle slope   North Ames  ...           0             0         0   \n",
       "\n",
       "     ScreenPorch  PoolArea  MiscVal  MoSold  YrSold  \\\n",
       "Id                                                    \n",
       "278            0         0        0       6    2010   \n",
       "82             0         0        0       3    2006   \n",
       "948            0         0        0      11    2007   \n",
       "1262           0         0        0       6    2009   \n",
       "\n",
       "                          SaleType SaleCondition  \n",
       "Id                                                \n",
       "278   Warranty Deed - Conventional   Normal Sale  \n",
       "82    Warranty Deed - Conventional   Normal Sale  \n",
       "948   Warranty Deed - Conventional   Normal Sale  \n",
       "1262  Warranty Deed - Conventional   Normal Sale  \n",
       "\n",
       "[4 rows x 72 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_input = house_df.sample(4).drop('SalePrice', axis=1)\n",
    "sample_input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictor.add_input(sample_input)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Get detailed explanability associated to the predictions on this input**  \n",
    "The contributions will contain the groups we created by default but you can replace the groups by their corresponding features using the `use_groups` parameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>ypred</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>Street</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>Exterior2nd</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>BsmtExposure</th>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <th>...</th>\n",
       "      <th>PavedDrive</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>location</th>\n",
       "      <th>size</th>\n",
       "      <th>aspect</th>\n",
       "      <th>condition</th>\n",
       "      <th>configuration</th>\n",
       "      <th>equipment</th>\n",
       "      <th>garage</th>\n",
       "      <th>sale</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>278</th>\n",
       "      <td>130844.267709</td>\n",
       "      <td>513.659708</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-663.898088</td>\n",
       "      <td>-3069.707556</td>\n",
       "      <td>107.280103</td>\n",
       "      <td>-147.979932</td>\n",
       "      <td>-320.832096</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>114.775449</td>\n",
       "      <td>-8.115543</td>\n",
       "      <td>381.872846</td>\n",
       "      <td>-14396.089946</td>\n",
       "      <td>389.034058</td>\n",
       "      <td>-34936.984759</td>\n",
       "      <td>136.495324</td>\n",
       "      <td>388.903141</td>\n",
       "      <td>2581.918959</td>\n",
       "      <td>852.852788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>172074.308012</td>\n",
       "      <td>-1794.251940</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8556.953143</td>\n",
       "      <td>341.624509</td>\n",
       "      <td>280.749670</td>\n",
       "      <td>157.831718</td>\n",
       "      <td>-741.368822</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>36.213574</td>\n",
       "      <td>-13.952196</td>\n",
       "      <td>695.534998</td>\n",
       "      <td>2654.099001</td>\n",
       "      <td>132.778319</td>\n",
       "      <td>-20731.306929</td>\n",
       "      <td>-429.927436</td>\n",
       "      <td>197.002092</td>\n",
       "      <td>866.600207</td>\n",
       "      <td>-113.465212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>270609.542311</td>\n",
       "      <td>809.401100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2062.573431</td>\n",
       "      <td>2274.633986</td>\n",
       "      <td>338.187922</td>\n",
       "      <td>145.925325</td>\n",
       "      <td>804.144542</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>36.671406</td>\n",
       "      <td>-8.789213</td>\n",
       "      <td>219.232590</td>\n",
       "      <td>27418.095044</td>\n",
       "      <td>-1192.718922</td>\n",
       "      <td>58309.691558</td>\n",
       "      <td>-244.246746</td>\n",
       "      <td>59.576711</td>\n",
       "      <td>-373.060204</td>\n",
       "      <td>-1823.935655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>130366.146017</td>\n",
       "      <td>586.962923</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1281.558493</td>\n",
       "      <td>-3554.663787</td>\n",
       "      <td>29.700023</td>\n",
       "      <td>-178.384582</td>\n",
       "      <td>-409.165873</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>118.746022</td>\n",
       "      <td>-20.226779</td>\n",
       "      <td>378.014782</td>\n",
       "      <td>-16687.534163</td>\n",
       "      <td>-42.260808</td>\n",
       "      <td>-24222.527707</td>\n",
       "      <td>-141.320268</td>\n",
       "      <td>136.621081</td>\n",
       "      <td>-3446.240527</td>\n",
       "      <td>441.515370</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ypred   MSSubClass  Street  Utilities    YearBuilt  \\\n",
       "Id                                                                 \n",
       "278   130844.267709   513.659708     0.0        0.0  -663.898088   \n",
       "82    172074.308012 -1794.251940     0.0        0.0  8556.953143   \n",
       "948   270609.542311   809.401100     0.0        0.0  2062.573431   \n",
       "1262  130366.146017   586.962923     0.0        0.0 -1281.558493   \n",
       "\n",
       "      YearRemodAdd  Exterior2nd  Foundation  BsmtExposure  LowQualFinSF  ...  \\\n",
       "Id                                                                       ...   \n",
       "278   -3069.707556   107.280103 -147.979932   -320.832096           0.0  ...   \n",
       "82      341.624509   280.749670  157.831718   -741.368822           0.0  ...   \n",
       "948    2274.633986   338.187922  145.925325    804.144542           0.0  ...   \n",
       "1262  -3554.663787    29.700023 -178.384582   -409.165873           0.0  ...   \n",
       "\n",
       "      PavedDrive    MiscVal    location          size       aspect  \\\n",
       "Id                                                                   \n",
       "278   114.775449  -8.115543  381.872846 -14396.089946   389.034058   \n",
       "82     36.213574 -13.952196  695.534998   2654.099001   132.778319   \n",
       "948    36.671406  -8.789213  219.232590  27418.095044 -1192.718922   \n",
       "1262  118.746022 -20.226779  378.014782 -16687.534163   -42.260808   \n",
       "\n",
       "         condition  configuration   equipment       garage         sale  \n",
       "Id                                                                       \n",
       "278  -34936.984759     136.495324  388.903141  2581.918959   852.852788  \n",
       "82   -20731.306929    -429.927436  197.002092   866.600207  -113.465212  \n",
       "948   58309.691558    -244.246746   59.576711  -373.060204 -1823.935655  \n",
       "1262 -24222.527707    -141.320268  136.621081 -3446.240527   441.515370  \n",
       "\n",
       "[4 rows x 29 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictor.detail_contributions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>ypred</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>...</th>\n",
       "      <th>OpenPorchSF</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",
       "    </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>278</th>\n",
       "      <td>130844.267709</td>\n",
       "      <td>513.659708</td>\n",
       "      <td>198.903599</td>\n",
       "      <td>12691.377983</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-581.800537</td>\n",
       "      <td>122.547776</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.758117</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-992.956104</td>\n",
       "      <td>-46.012302</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-261.322952</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-8.115543</td>\n",
       "      <td>809.554609</td>\n",
       "      <td>-277.564120</td>\n",
       "      <td>-155.385399</td>\n",
       "      <td>476.247697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>172074.308012</td>\n",
       "      <td>-1794.251940</td>\n",
       "      <td>-477.108026</td>\n",
       "      <td>-6492.520867</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-410.318176</td>\n",
       "      <td>55.697919</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-487.737357</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7542.237778</td>\n",
       "      <td>6.606935</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-292.337551</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-13.952196</td>\n",
       "      <td>-174.894504</td>\n",
       "      <td>403.112039</td>\n",
       "      <td>-463.495150</td>\n",
       "      <td>121.812402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>270609.542311</td>\n",
       "      <td>809.401100</td>\n",
       "      <td>124.049805</td>\n",
       "      <td>7126.125020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-702.467025</td>\n",
       "      <td>-154.403730</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-255.183036</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11792.032451</td>\n",
       "      <td>15.080870</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-372.007690</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-8.789213</td>\n",
       "      <td>-1078.558864</td>\n",
       "      <td>433.762031</td>\n",
       "      <td>-1192.828411</td>\n",
       "      <td>13.689590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>130366.146017</td>\n",
       "      <td>586.962923</td>\n",
       "      <td>342.502857</td>\n",
       "      <td>-263.440875</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-501.285776</td>\n",
       "      <td>125.195420</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-116.788988</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-815.781795</td>\n",
       "      <td>-79.706597</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-225.931164</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-20.226779</td>\n",
       "      <td>269.715464</td>\n",
       "      <td>-325.912085</td>\n",
       "      <td>-96.440432</td>\n",
       "      <td>594.152423</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 73 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ypred   MSSubClass    MSZoning       LotArea  Street  \\\n",
       "Id                                                                   \n",
       "278   130844.267709   513.659708  198.903599  12691.377983     0.0   \n",
       "82    172074.308012 -1794.251940 -477.108026  -6492.520867     0.0   \n",
       "948   270609.542311   809.401100  124.049805   7126.125020     0.0   \n",
       "1262  130366.146017   586.962923  342.502857   -263.440875     0.0   \n",
       "\n",
       "        LotShape  LandContour  Utilities   LotConfig  LandSlope  ...  \\\n",
       "Id                                                               ...   \n",
       "278  -581.800537   122.547776        0.0  156.758117        0.0  ...   \n",
       "82   -410.318176    55.697919        0.0 -487.737357        0.0  ...   \n",
       "948  -702.467025  -154.403730        0.0 -255.183036        0.0  ...   \n",
       "1262 -501.285776   125.195420        0.0 -116.788988        0.0  ...   \n",
       "\n",
       "       OpenPorchSF  EnclosedPorch  3SsnPorch  ScreenPorch  PoolArea  \\\n",
       "Id                                                                    \n",
       "278    -992.956104     -46.012302        0.0  -261.322952       0.0   \n",
       "82     7542.237778       6.606935        0.0  -292.337551       0.0   \n",
       "948   11792.032451      15.080870        0.0  -372.007690       0.0   \n",
       "1262   -815.781795     -79.706597        0.0  -225.931164       0.0   \n",
       "\n",
       "        MiscVal       MoSold      YrSold     SaleType  SaleCondition  \n",
       "Id                                                                    \n",
       "278   -8.115543   809.554609 -277.564120  -155.385399     476.247697  \n",
       "82   -13.952196  -174.894504  403.112039  -463.495150     121.812402  \n",
       "948   -8.789213 -1078.558864  433.762031 -1192.828411      13.689590  \n",
       "1262 -20.226779   269.715464 -325.912085   -96.440432     594.152423  \n",
       "\n",
       "[4 rows x 73 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace groups of features we created with their corresponding features contributions\n",
    "predictor.detail_contributions(use_groups=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Compute a summary of these contributions**  \n",
    "Configure the summary using the `modify_mask` method :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictor.modify_mask(max_contrib=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `summarize` method will contain the groups of features contributions and the `value_x` columns will contain all the values of the features of the corresponding group as a dict."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>ypred</th>\n",
       "      <th>feature_1</th>\n",
       "      <th>value_1</th>\n",
       "      <th>contribution_1</th>\n",
       "      <th>feature_2</th>\n",
       "      <th>value_2</th>\n",
       "      <th>contribution_2</th>\n",
       "      <th>feature_3</th>\n",
       "      <th>value_3</th>\n",
       "      <th>contribution_3</th>\n",
       "      <th>feature_4</th>\n",
       "      <th>value_4</th>\n",
       "      <th>contribution_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>130844.267709</td>\n",
       "      <td>Quality of the materials and parts of the prop...</td>\n",
       "      <td>{'Overall material and finish of the house': 4...</td>\n",
       "      <td>-34936.984759</td>\n",
       "      <td>Size of different elements in the house</td>\n",
       "      <td>{'Lot size square feet': 19138.0, 'Masonry ven...</td>\n",
       "      <td>-14396.089946</td>\n",
       "      <td>Remodel date</td>\n",
       "      <td>1951</td>\n",
       "      <td>-3069.707556</td>\n",
       "      <td>Number of fireplaces</td>\n",
       "      <td>0</td>\n",
       "      <td>-2914.650743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>172074.308012</td>\n",
       "      <td>Quality of the materials and parts of the prop...</td>\n",
       "      <td>{'Overall material and finish of the house': 6...</td>\n",
       "      <td>-20731.306929</td>\n",
       "      <td>Original construction date</td>\n",
       "      <td>1998</td>\n",
       "      <td>8556.953143</td>\n",
       "      <td>Size of different elements in the house</td>\n",
       "      <td>{'Lot size square feet': 4500.0, 'Masonry vene...</td>\n",
       "      <td>2654.099001</td>\n",
       "      <td>Building Class</td>\n",
       "      <td>1-Story PUD (Planned Unit Development) - 1946 ...</td>\n",
       "      <td>-1794.25194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>270609.542311</td>\n",
       "      <td>Quality of the materials and parts of the prop...</td>\n",
       "      <td>{'Overall material and finish of the house': 8...</td>\n",
       "      <td>58309.691558</td>\n",
       "      <td>Size of different elements in the house</td>\n",
       "      <td>{'Lot size square feet': 14536.0, 'Masonry ven...</td>\n",
       "      <td>27418.095044</td>\n",
       "      <td>Total rooms above grade</td>\n",
       "      <td>9</td>\n",
       "      <td>-3238.097105</td>\n",
       "      <td>Remodel date</td>\n",
       "      <td>2003</td>\n",
       "      <td>2274.633986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>130366.146017</td>\n",
       "      <td>Quality of the materials and parts of the prop...</td>\n",
       "      <td>{'Overall material and finish of the house': 5...</td>\n",
       "      <td>-24222.527707</td>\n",
       "      <td>Size of different elements in the house</td>\n",
       "      <td>{'Lot size square feet': 9600.0, 'Masonry vene...</td>\n",
       "      <td>-16687.534163</td>\n",
       "      <td>Remodel date</td>\n",
       "      <td>1956</td>\n",
       "      <td>-3554.663787</td>\n",
       "      <td>Garage group of features</td>\n",
       "      <td>{'Garage location': 1.0, 'Year garage was buil...</td>\n",
       "      <td>-3446.240527</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              ypred                                          feature_1  \\\n",
       "278   130844.267709  Quality of the materials and parts of the prop...   \n",
       "82    172074.308012  Quality of the materials and parts of the prop...   \n",
       "948   270609.542311  Quality of the materials and parts of the prop...   \n",
       "1262  130366.146017  Quality of the materials and parts of the prop...   \n",
       "\n",
       "                                                value_1 contribution_1  \\\n",
       "278   {'Overall material and finish of the house': 4...  -34936.984759   \n",
       "82    {'Overall material and finish of the house': 6...  -20731.306929   \n",
       "948   {'Overall material and finish of the house': 8...   58309.691558   \n",
       "1262  {'Overall material and finish of the house': 5...  -24222.527707   \n",
       "\n",
       "                                    feature_2  \\\n",
       "278   Size of different elements in the house   \n",
       "82                 Original construction date   \n",
       "948   Size of different elements in the house   \n",
       "1262  Size of different elements in the house   \n",
       "\n",
       "                                                value_2 contribution_2  \\\n",
       "278   {'Lot size square feet': 19138.0, 'Masonry ven...  -14396.089946   \n",
       "82                                                 1998    8556.953143   \n",
       "948   {'Lot size square feet': 14536.0, 'Masonry ven...   27418.095044   \n",
       "1262  {'Lot size square feet': 9600.0, 'Masonry vene...  -16687.534163   \n",
       "\n",
       "                                    feature_3  \\\n",
       "278                              Remodel date   \n",
       "82    Size of different elements in the house   \n",
       "948                   Total rooms above grade   \n",
       "1262                             Remodel date   \n",
       "\n",
       "                                                value_3 contribution_3  \\\n",
       "278                                                1951   -3069.707556   \n",
       "82    {'Lot size square feet': 4500.0, 'Masonry vene...    2654.099001   \n",
       "948                                                   9   -3238.097105   \n",
       "1262                                               1956   -3554.663787   \n",
       "\n",
       "                     feature_4  \\\n",
       "278       Number of fireplaces   \n",
       "82              Building Class   \n",
       "948               Remodel date   \n",
       "1262  Garage group of features   \n",
       "\n",
       "                                                value_4 contribution_4  \n",
       "278                                                   0   -2914.650743  \n",
       "82    1-Story PUD (Planned Unit Development) - 1946 ...    -1794.25194  \n",
       "948                                                2003    2274.633986  \n",
       "1262  {'Garage location': 1.0, 'Year garage was buil...   -3446.240527  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictor.summarize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>ypred</th>\n",
       "      <th>feature_1</th>\n",
       "      <th>value_1</th>\n",
       "      <th>contribution_1</th>\n",
       "      <th>feature_2</th>\n",
       "      <th>value_2</th>\n",
       "      <th>contribution_2</th>\n",
       "      <th>feature_3</th>\n",
       "      <th>value_3</th>\n",
       "      <th>contribution_3</th>\n",
       "      <th>feature_4</th>\n",
       "      <th>value_4</th>\n",
       "      <th>contribution_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>130844.267709</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>4</td>\n",
       "      <td>-31398.569429</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>864</td>\n",
       "      <td>-15548.964313</td>\n",
       "      <td>Lot size square feet</td>\n",
       "      <td>19138</td>\n",
       "      <td>12691.377983</td>\n",
       "      <td>Total square feet of basement area</td>\n",
       "      <td>864</td>\n",
       "      <td>-6352.627145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>172074.308012</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>6</td>\n",
       "      <td>-18709.409714</td>\n",
       "      <td>Original construction date</td>\n",
       "      <td>1998</td>\n",
       "      <td>8556.953143</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>1337</td>\n",
       "      <td>-8081.588619</td>\n",
       "      <td>Open porch area in square feet</td>\n",
       "      <td>199</td>\n",
       "      <td>7542.237778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>270609.542311</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>8</td>\n",
       "      <td>66435.541722</td>\n",
       "      <td>Open porch area in square feet</td>\n",
       "      <td>252</td>\n",
       "      <td>11792.032451</td>\n",
       "      <td>Total square feet of basement area</td>\n",
       "      <td>1616</td>\n",
       "      <td>9210.438644</td>\n",
       "      <td>Type 1 finished square feet</td>\n",
       "      <td>1300</td>\n",
       "      <td>9098.524863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>130366.146017</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>5</td>\n",
       "      <td>-23653.042515</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>1050</td>\n",
       "      <td>-13069.750375</td>\n",
       "      <td>Remodel date</td>\n",
       "      <td>1956</td>\n",
       "      <td>-3554.663787</td>\n",
       "      <td>Size of garage in square feet</td>\n",
       "      <td>338</td>\n",
       "      <td>-3424.218904</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              ypred                                 feature_1 value_1  \\\n",
       "278   130844.267709  Overall material and finish of the house       4   \n",
       "82    172074.308012  Overall material and finish of the house       6   \n",
       "948   270609.542311  Overall material and finish of the house       8   \n",
       "1262  130366.146017  Overall material and finish of the house       5   \n",
       "\n",
       "     contribution_1                       feature_2 value_2 contribution_2  \\\n",
       "278   -31398.569429  Ground living area square feet     864  -15548.964313   \n",
       "82    -18709.409714      Original construction date    1998    8556.953143   \n",
       "948    66435.541722  Open porch area in square feet     252   11792.032451   \n",
       "1262  -23653.042515  Ground living area square feet    1050  -13069.750375   \n",
       "\n",
       "                               feature_3 value_3 contribution_3  \\\n",
       "278                 Lot size square feet   19138   12691.377983   \n",
       "82        Ground living area square feet    1337   -8081.588619   \n",
       "948   Total square feet of basement area    1616    9210.438644   \n",
       "1262                        Remodel date    1956   -3554.663787   \n",
       "\n",
       "                               feature_4 value_4 contribution_4  \n",
       "278   Total square feet of basement area     864   -6352.627145  \n",
       "82        Open porch area in square feet     199    7542.237778  \n",
       "948          Type 1 finished square feet    1300    9098.524863  \n",
       "1262       Size of garage in square feet     338   -3424.218904  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Removes the groups of features in the summary and replace them with their corresponding features\n",
    "predictor.summarize(use_groups=False)"
   ]
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "shapash_picking",
   "language": "python",
   "name": "shapash_picking"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "vscode": {
   "interpreter": {
    "hash": "6dbaec60c0b0d722a3fa908c2fd7b738d946da6332c67fea5eea602801fdaf43"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}