{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Project: Predicting house sale prices\n",
    "## Part 1: Data preparation, model estimation\n",
    "**Data:** housing data for the city of Ames, Iowa, USA, 2006 to 2010  \n",
    "**Data description:** https://s3.amazonaws.com/dq-content/307/data_description.txt  \n",
    "**Source:** https://www.tandfonline.com/doi/abs/10.1080/10691898.2011.11889627  \n",
    "**Source pdf:** https://www.tandfonline.com/doi/pdf/10.1080/10691898.2011.11889627?needAccess=true\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Useful links\n",
    "\n",
    "Inspiration notebooks:\n",
    "* https://www.kaggle.com/code/solegalli/feature-engineering-for-house-price-modelling\n",
    "* https://nycdatascience.com/blog/student-works/house-price-prediction-with-creative-feature-engineering-and-advanced-regression-techniques/\n",
    "* https://rpubs.com/IsaacGabr/795734\n",
    "* https://www.kaggle.com/code/modassirafzal/housing-top-3/notebook\n",
    "\n",
    "\n",
    "Feature Engineering:\n",
    "* https://towardsdatascience.com/churn-analysis-information-value-and-weight-of-evidence-6a35db8b9ec5  \n",
    "* https://contrib.scikit-learn.org/category_encoders/woe.html  \n",
    "* https://multithreaded.stitchfix.com/blog/2015/08/13/weight-of-evidence  \n",
    "* https://contrib.scikit-learn.org/category_encoders/polynomial.html  \n",
    "* https://contrib.scikit-learn.org/category_encoders/targetencoder.html \n",
    "* https://stackoverflow.com/questions/46428870/how-to-handle-date-variable-in-machine-learning-data-pre-processing\n",
    "* https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.mstats.winsorize.html\n",
    "* https://www.lexjansen.com/sesug/2014/SD-20.pdf\n",
    "* https://arxiv.org/pdf/2001.08025.pdf (Optbinning library)\n",
    "\n",
    "Correlation for non-numeric data (Dython library):  \n",
    "* https://towardsdatascience.com/the-search-for-categorical-correlation-a1cf7f1888c9\n",
    "\n",
    "Variable standarization:  \n",
    "http://www.stat.columbia.edu/~gelman/research/published/standardizing7.pdf\n",
    "\n",
    "Variable selection:  \n",
    "* https://github.com/scikit-learn-contrib/boruta_py\n",
    "\n",
    "Optimal Binning and WoE transformation for continuous dependent variable:\n",
    "* http://gnpalencia.org/optbinning/binning_continuous.html\n",
    "* https://www.listendata.com/2019/08/WOE-IV-Continuous-Dependent.html\n",
    "\n",
    "Diagnostics:\n",
    "* https://programminghistorian.org/en/lessons/linear-regression#step-8-evaluating-performance  \n",
    "* https://online.stat.psu.edu/stat462/node/179/\n",
    "* https://towardsdatascience.com/targeting-multicollinearity-with-python-3bd3b4088d0b\n",
    "* https://medium.com/analytics-vidhya/multi-collinearity-key-aspect-of-regression-problem-9918a1a52559\n",
    "\n",
    "Regression:\n",
    "* https://en.wikipedia.org/wiki/Theil%E2%80%93Sen_estimator\n",
    "* https://machinelearningmastery.com/compare-machine-learning-algorithms-python-scikit-learn/\n",
    "* https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html#sklearn.linear_model.Ridge\n",
    "* https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html#sklearn.linear_model.Lasso\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Documentation\n",
    "# https://thomas-cokelaer.info/tutorials/sphinx/docstring_python.html - \n",
    "# for how to docstring documents\n",
    "# Let's have this project in Sphinx - it will be easier than writing \n",
    "# https://python.plainenglish.io/how-to-host-your-sphinx-documentation-on-github-550254f325ae\n",
    "# https://stackoverflow.com/questions/41052221/what-is-the-difference-between-var-cvar-and-ivar-in-pythons-sphinx\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Setting up environment\n",
    "\n",
    "#### 1.1 Importing packages & setting-up parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set-up auto-reload functions for faster debugging \n",
    "# (automatically refreshes changes in subpackages codes)\n",
    "# https://ipython.org/ipython-doc/3/config/extensions/autoreload.html\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import parent directory (main project directory)\n",
    "# for packages importing\n",
    "import sys\n",
    "import os\n",
    "\n",
    "# Getting the parent directory name in which your script is running\n",
    "parent = os.path.dirname(os.path.realpath(''))\n",
    "\n",
    "# adding the parent directory to\n",
    "# the sys.path.\n",
    "sys.path.append(parent)\n",
    "\n",
    "# now we can import the module in the parent\n",
    "# directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Project packages import\n",
    "import src.data.make_dataset as gp23md\n",
    "import src.explore_visualise.eda as gp23eda\n",
    "import src.features.build_features as gp23feat\n",
    "import src.models.hyperparameters_model as gp23hyperparam\n",
    "import src.models.train_model as gp23train\n",
    "# Pylance highligting package issue (not to be worried about)\n",
    "# https://github.com/microsoft/pylance-release/blob/main/TROUBLESHOOTING.md#unresolved-import-warnings\n",
    "\n",
    "# Standard Python libraries import\n",
    "from IPython.display import display, HTML #  tidied-up display\n",
    "from time import time #  project timer\n",
    "from itertools import chain # for list iterations\n",
    "\n",
    "# plots\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sn\n",
    "\n",
    "# Statistics\n",
    "from scipy import stats\n",
    "from scipy.stats import mstats\n",
    "\n",
    "# Sklearn\n",
    "from sklearn.feature_selection import (SelectKBest, chi2, f_regression, RFE, mutual_info_regression,\n",
    "                                      SequentialFeatureSelector, SelectFromModel)\n",
    "from sklearn.preprocessing import (normalize, MinMaxScaler)\n",
    "from sklearn.metrics import (mean_squared_error, mean_absolute_error, mean_absolute_percentage_error, r2_score)\n",
    "from sklearn.model_selection import (train_test_split, cross_val_score, KFold, GridSearchCV)\n",
    "from sklearn.linear_model import (LinearRegression, Ridge, ElasticNet, Lasso, TheilSenRegressor, RANSACRegressor,\n",
    "                                  HuberRegressor , SGDRegressor, Lars, ElasticNet, RidgeCV)\n",
    "\n",
    "#statsmodels\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "from statsmodels.compat import lzip\n",
    "import statsmodels as sm\n",
    "import statsmodels.stats.stattools as smt\n",
    "import statsmodels.stats.diagnostic as smd\n",
    "\n",
    "# Other\n",
    "from dython import nominal # Correlations between categorical variables\n",
    "from optbinning import ContinuousOptimalBinning # WoE transformations\n",
    "import distfit #distribution fitting\n",
    "import session_info # build and requirements.txt\n",
    "\n",
    "# Necessary packages\n",
    "import src\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import copy # for deepcopy\n",
    "import math\n",
    "import pylab\n",
    "import session_info # build and requirements.txt\n",
    "import pickle # dump models\n",
    "\n",
    "#turning on plot display in JN\n",
    "%matplotlib inline \n",
    "# Setting pandas display options\n",
    "pd.options.display.max_columns = 300\n",
    "pd.options.display.max_rows = 100\n",
    "pd.options.display.max_colwidth = 250"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MANUAL_INPUT - mark of sections of code, that are not automated and have to be manually re-coded to new datasets.\n",
    "\n",
    "# parameters\n",
    "seed = 12345\n",
    "target = 'SalePrice'\n",
    "ID_vars = ['Order', 'PID']\n",
    "\n",
    "# Non-numeric variables parameters\n",
    "\n",
    "low_corr_category_parm = 0.1 # cut-off value for categorical variables correlation.\n",
    "strong_correlation_param = 0.8 # cut-off value of Pearson correlation to indicate strong correlations\n",
    "levels_discrete = 20 # how many levels (unique values) can a numeric variable have to be considered as discrete variable \n",
    "c_miss_cutoff = 0.8 # delete non-numeric variables that have more than c_miss_cutoff missing values\n",
    "\n",
    "# Numeric variables paramaters\n",
    "\n",
    "n_miss_cutoff = 0.25 # delete numeric variables that have more than n_miss_cutoff missing values\n",
    "n_fill_cutoff = 0.05 # if missing values for numeric variables is ge than n_fill cutoff, use n_fill_method to impute values\n",
    "n_fill_cutoff = 'mode' # numeric variables imputation method for missing values\n",
    "\n",
    "#Train valid test split\n",
    "test_split = 0.8 # 20% of total observations will be assigned to test dataset\n",
    "valid_split = 0.8 # 20% of train_valid observations ( test_split * total observations) will be assigned to\n",
    "# validation dataset\n",
    "\n",
    "# Datasets explained\n",
    "\n",
    "# Variable selection\n",
    "low_variance_treshold = 0.01 # low variance treshold. \n",
    "# Variables that have less than low_variance_treshold variance in train_valid dataset will be dropped\n",
    "kbestfeatures = 20 # 20 all variable selection methods will select kbestfeatures best variables\n",
    "\n",
    "# data_transformed - data post missing values handling and inputation\n",
    "# train - train dataset (post sampling)\n",
    "# valid - valid dataset (post sampling)\n",
    "# train_valid - concatenated train and valid datasets (post sampling). Used for CV purposes.\n",
    "# test - holdout data for final accuracy confirmation."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.2 Starting project timer and exporting requirements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Starting project timer\n",
    "tic_all = time()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "<details>\n",
       "<summary>Click to view session information</summary>\n",
       "<pre>\n",
       "-----\n",
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       "-----\n",
       "</pre>\n",
       "<details>\n",
       "<summary>Click to view modules imported as dependencies</summary>\n",
       "<pre>\n",
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       "</pre>\n",
       "</details> <!-- seems like this ends pre, so might as well be explicit -->\n",
       "<pre>\n",
       "-----\n",
       "IPython             8.10.0\n",
       "jupyter_client      7.4.9\n",
       "jupyter_core        4.11.1\n",
       "jupyterlab          3.4.4\n",
       "notebook            6.4.12\n",
       "-----\n",
       "Python 3.9.13 (main, Aug 25 2022, 23:51:50) [MSC v.1916 64 bit (AMD64)]\n",
       "Windows-10-10.0.22621-SP0\n",
       "12 logical CPU cores, Intel64 Family 6 Model 158 Stepping 13, GenuineIntel\n",
       "-----\n",
       "Session information updated at 2023-06-07 08:31\n",
       "</pre>\n",
       "</details>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Collecting packages info and saving to requirements.txt file\n",
    "session_info.show(cpu = True, std_lib = True, dependencies = True, write_req_file = True,\n",
    "                  req_file_name = 'requirements.txt')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.3 Importing and inspecting source data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order</th>\n",
       "      <th>PID</th>\n",
       "      <th>MS SubClass</th>\n",
       "      <th>MS Zoning</th>\n",
       "      <th>Lot Frontage</th>\n",
       "      <th>Lot Area</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>Lot Shape</th>\n",
       "      <th>Land Contour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>Lot Config</th>\n",
       "      <th>Land Slope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition 1</th>\n",
       "      <th>Condition 2</th>\n",
       "      <th>Bldg Type</th>\n",
       "      <th>House Style</th>\n",
       "      <th>Overall Qual</th>\n",
       "      <th>Overall Cond</th>\n",
       "      <th>Year Built</th>\n",
       "      <th>Year Remod/Add</th>\n",
       "      <th>Roof Style</th>\n",
       "      <th>Roof Matl</th>\n",
       "      <th>Exterior 1st</th>\n",
       "      <th>Exterior 2nd</th>\n",
       "      <th>Mas Vnr Type</th>\n",
       "      <th>Mas Vnr Area</th>\n",
       "      <th>Exter Qual</th>\n",
       "      <th>Exter Cond</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>Bsmt Qual</th>\n",
       "      <th>Bsmt Cond</th>\n",
       "      <th>Bsmt Exposure</th>\n",
       "      <th>BsmtFin Type 1</th>\n",
       "      <th>BsmtFin SF 1</th>\n",
       "      <th>BsmtFin Type 2</th>\n",
       "      <th>BsmtFin SF 2</th>\n",
       "      <th>Bsmt Unf SF</th>\n",
       "      <th>Total Bsmt SF</th>\n",
       "      <th>Heating</th>\n",
       "      <th>Heating QC</th>\n",
       "      <th>Central Air</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>1st Flr SF</th>\n",
       "      <th>2nd Flr SF</th>\n",
       "      <th>Low Qual Fin SF</th>\n",
       "      <th>Gr Liv Area</th>\n",
       "      <th>Bsmt Full Bath</th>\n",
       "      <th>Bsmt Half Bath</th>\n",
       "      <th>Full Bath</th>\n",
       "      <th>Half Bath</th>\n",
       "      <th>Bedroom AbvGr</th>\n",
       "      <th>Kitchen AbvGr</th>\n",
       "      <th>Kitchen Qual</th>\n",
       "      <th>TotRms AbvGrd</th>\n",
       "      <th>Functional</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>Fireplace Qu</th>\n",
       "      <th>Garage Type</th>\n",
       "      <th>Garage Yr Blt</th>\n",
       "      <th>Garage Finish</th>\n",
       "      <th>Garage Cars</th>\n",
       "      <th>Garage Area</th>\n",
       "      <th>Garage Qual</th>\n",
       "      <th>Garage Cond</th>\n",
       "      <th>Paved Drive</th>\n",
       "      <th>Wood Deck SF</th>\n",
       "      <th>Open Porch SF</th>\n",
       "      <th>Enclosed Porch</th>\n",
       "      <th>3Ssn Porch</th>\n",
       "      <th>Screen Porch</th>\n",
       "      <th>Pool Area</th>\n",
       "      <th>Pool QC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>Misc Feature</th>\n",
       "      <th>Misc Val</th>\n",
       "      <th>Mo Sold</th>\n",
       "      <th>Yr Sold</th>\n",
       "      <th>Sale Type</th>\n",
       "      <th>Sale Condition</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>526301100</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>141.0</td>\n",
       "      <td>31770</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1960</td>\n",
       "      <td>1960</td>\n",
       "      <td>Hip</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>Plywood</td>\n",
       "      <td>Stone</td>\n",
       "      <td>112.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>TA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Gd</td>\n",
       "      <td>BLQ</td>\n",
       "      <td>639.0</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>441.0</td>\n",
       "      <td>1080.0</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Fa</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>1656</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1656</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>7</td>\n",
       "      <td>Typ</td>\n",
       "      <td>2</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>Fin</td>\n",
       "      <td>2.0</td>\n",
       "      <td>528.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>P</td>\n",
       "      <td>210</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>215000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>526350040</td>\n",
       "      <td>20</td>\n",
       "      <td>RH</td>\n",
       "      <td>80.0</td>\n",
       "      <td>11622</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>Feedr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1961</td>\n",
       "      <td>1961</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>No</td>\n",
       "      <td>Rec</td>\n",
       "      <td>468.0</td>\n",
       "      <td>LwQ</td>\n",
       "      <td>144.0</td>\n",
       "      <td>270.0</td>\n",
       "      <td>882.0</td>\n",
       "      <td>GasA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>896</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>896</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>5</td>\n",
       "      <td>Typ</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>1961.0</td>\n",
       "      <td>Unf</td>\n",
       "      <td>1.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MnPrv</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>105000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>526351010</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>81.0</td>\n",
       "      <td>14267</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1958</td>\n",
       "      <td>1958</td>\n",
       "      <td>Hip</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>Wd Sdng</td>\n",
       "      <td>Wd Sdng</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>108.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>No</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>923.0</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>406.0</td>\n",
       "      <td>1329.0</td>\n",
       "      <td>GasA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>1329</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1329</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>6</td>\n",
       "      <td>Typ</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>1958.0</td>\n",
       "      <td>Unf</td>\n",
       "      <td>1.0</td>\n",
       "      <td>312.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>393</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gar2</td>\n",
       "      <td>12500</td>\n",
       "      <td>6</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>172000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>526353030</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>93.0</td>\n",
       "      <td>11160</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1968</td>\n",
       "      <td>1968</td>\n",
       "      <td>Hip</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>No</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>1065.0</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1045.0</td>\n",
       "      <td>2110.0</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>2110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2110</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Ex</td>\n",
       "      <td>8</td>\n",
       "      <td>Typ</td>\n",
       "      <td>2</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>1968.0</td>\n",
       "      <td>Fin</td>\n",
       "      <td>2.0</td>\n",
       "      <td>522.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>244000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>527105010</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>74.0</td>\n",
       "      <td>13830</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Gilbert</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1997</td>\n",
       "      <td>1998</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>No</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>791.0</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>928.0</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>928</td>\n",
       "      <td>701</td>\n",
       "      <td>0</td>\n",
       "      <td>1629</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>6</td>\n",
       "      <td>Typ</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>Fin</td>\n",
       "      <td>2.0</td>\n",
       "      <td>482.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>212</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MnPrv</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>189900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = gp23md.MakeDataset('AmesHousing.tsv').data\n",
    "print(type(data))\n",
    "display(HTML(data.head().to_html()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2930 entries, 0 to 2929\n",
      "Data columns (total 82 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   Order            2930 non-null   int64  \n",
      " 1   PID              2930 non-null   int64  \n",
      " 2   MS SubClass      2930 non-null   int64  \n",
      " 3   MS Zoning        2930 non-null   object \n",
      " 4   Lot Frontage     2440 non-null   float64\n",
      " 5   Lot Area         2930 non-null   int64  \n",
      " 6   Street           2930 non-null   object \n",
      " 7   Alley            198 non-null    object \n",
      " 8   Lot Shape        2930 non-null   object \n",
      " 9   Land Contour     2930 non-null   object \n",
      " 10  Utilities        2930 non-null   object \n",
      " 11  Lot Config       2930 non-null   object \n",
      " 12  Land Slope       2930 non-null   object \n",
      " 13  Neighborhood     2930 non-null   object \n",
      " 14  Condition 1      2930 non-null   object \n",
      " 15  Condition 2      2930 non-null   object \n",
      " 16  Bldg Type        2930 non-null   object \n",
      " 17  House Style      2930 non-null   object \n",
      " 18  Overall Qual     2930 non-null   int64  \n",
      " 19  Overall Cond     2930 non-null   int64  \n",
      " 20  Year Built       2930 non-null   int64  \n",
      " 21  Year Remod/Add   2930 non-null   int64  \n",
      " 22  Roof Style       2930 non-null   object \n",
      " 23  Roof Matl        2930 non-null   object \n",
      " 24  Exterior 1st     2930 non-null   object \n",
      " 25  Exterior 2nd     2930 non-null   object \n",
      " 26  Mas Vnr Type     2907 non-null   object \n",
      " 27  Mas Vnr Area     2907 non-null   float64\n",
      " 28  Exter Qual       2930 non-null   object \n",
      " 29  Exter Cond       2930 non-null   object \n",
      " 30  Foundation       2930 non-null   object \n",
      " 31  Bsmt Qual        2850 non-null   object \n",
      " 32  Bsmt Cond        2850 non-null   object \n",
      " 33  Bsmt Exposure    2847 non-null   object \n",
      " 34  BsmtFin Type 1   2850 non-null   object \n",
      " 35  BsmtFin SF 1     2929 non-null   float64\n",
      " 36  BsmtFin Type 2   2849 non-null   object \n",
      " 37  BsmtFin SF 2     2929 non-null   float64\n",
      " 38  Bsmt Unf SF      2929 non-null   float64\n",
      " 39  Total Bsmt SF    2929 non-null   float64\n",
      " 40  Heating          2930 non-null   object \n",
      " 41  Heating QC       2930 non-null   object \n",
      " 42  Central Air      2930 non-null   object \n",
      " 43  Electrical       2929 non-null   object \n",
      " 44  1st Flr SF       2930 non-null   int64  \n",
      " 45  2nd Flr SF       2930 non-null   int64  \n",
      " 46  Low Qual Fin SF  2930 non-null   int64  \n",
      " 47  Gr Liv Area      2930 non-null   int64  \n",
      " 48  Bsmt Full Bath   2928 non-null   float64\n",
      " 49  Bsmt Half Bath   2928 non-null   float64\n",
      " 50  Full Bath        2930 non-null   int64  \n",
      " 51  Half Bath        2930 non-null   int64  \n",
      " 52  Bedroom AbvGr    2930 non-null   int64  \n",
      " 53  Kitchen AbvGr    2930 non-null   int64  \n",
      " 54  Kitchen Qual     2930 non-null   object \n",
      " 55  TotRms AbvGrd    2930 non-null   int64  \n",
      " 56  Functional       2930 non-null   object \n",
      " 57  Fireplaces       2930 non-null   int64  \n",
      " 58  Fireplace Qu     1508 non-null   object \n",
      " 59  Garage Type      2773 non-null   object \n",
      " 60  Garage Yr Blt    2771 non-null   float64\n",
      " 61  Garage Finish    2771 non-null   object \n",
      " 62  Garage Cars      2929 non-null   float64\n",
      " 63  Garage Area      2929 non-null   float64\n",
      " 64  Garage Qual      2771 non-null   object \n",
      " 65  Garage Cond      2771 non-null   object \n",
      " 66  Paved Drive      2930 non-null   object \n",
      " 67  Wood Deck SF     2930 non-null   int64  \n",
      " 68  Open Porch SF    2930 non-null   int64  \n",
      " 69  Enclosed Porch   2930 non-null   int64  \n",
      " 70  3Ssn Porch       2930 non-null   int64  \n",
      " 71  Screen Porch     2930 non-null   int64  \n",
      " 72  Pool Area        2930 non-null   int64  \n",
      " 73  Pool QC          13 non-null     object \n",
      " 74  Fence            572 non-null    object \n",
      " 75  Misc Feature     106 non-null    object \n",
      " 76  Misc Val         2930 non-null   int64  \n",
      " 77  Mo Sold          2930 non-null   int64  \n",
      " 78  Yr Sold          2930 non-null   int64  \n",
      " 79  Sale Type        2930 non-null   object \n",
      " 80  Sale Condition   2930 non-null   object \n",
      " 81  SalePrice        2930 non-null   int64  \n",
      "dtypes: float64(11), int64(28), object(43)\n",
      "memory usage: 1.8+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(data.info())"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Exploratory Data Analysis (EDA)\n",
    "\n",
    "#### 2.1 Non-numeric Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MANUAL_INPUT\n",
    "# MS SubClass is a categorical variable stored as number - we will switch it to category\n",
    "data[\"MS SubClass\"] = 'C' + data[\"MS SubClass\"].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 44 categorical variables \n",
      "\n",
      "MS SubClass \n",
      " 16 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>C20</th>\n",
       "      <td>1079</td>\n",
       "      <td>36.825939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C60</th>\n",
       "      <td>575</td>\n",
       "      <td>19.624573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C50</th>\n",
       "      <td>287</td>\n",
       "      <td>9.795222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C120</th>\n",
       "      <td>192</td>\n",
       "      <td>6.552901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C30</th>\n",
       "      <td>139</td>\n",
       "      <td>4.744027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C160</th>\n",
       "      <td>129</td>\n",
       "      <td>4.402730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C70</th>\n",
       "      <td>128</td>\n",
       "      <td>4.368601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C80</th>\n",
       "      <td>118</td>\n",
       "      <td>4.027304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C90</th>\n",
       "      <td>109</td>\n",
       "      <td>3.720137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C190</th>\n",
       "      <td>61</td>\n",
       "      <td>2.081911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C85</th>\n",
       "      <td>48</td>\n",
       "      <td>1.638225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C75</th>\n",
       "      <td>23</td>\n",
       "      <td>0.784983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C45</th>\n",
       "      <td>18</td>\n",
       "      <td>0.614334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C180</th>\n",
       "      <td>17</td>\n",
       "      <td>0.580205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C40</th>\n",
       "      <td>6</td>\n",
       "      <td>0.204778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C150</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MS Zoning \n",
      " 7 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RL</th>\n",
       "      <td>2273</td>\n",
       "      <td>77.576792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RM</th>\n",
       "      <td>462</td>\n",
       "      <td>15.767918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FV</th>\n",
       "      <td>139</td>\n",
       "      <td>4.744027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RH</th>\n",
       "      <td>27</td>\n",
       "      <td>0.921502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C (all)</th>\n",
       "      <td>25</td>\n",
       "      <td>0.853242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I (all)</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A (agr)</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Street \n",
      " 2 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pave</th>\n",
       "      <td>2918</td>\n",
       "      <td>99.590444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grvl</th>\n",
       "      <td>12</td>\n",
       "      <td>0.409556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Alley \n",
      " 3 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Missing</th>\n",
       "      <td>2732</td>\n",
       "      <td>93.242321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grvl</th>\n",
       "      <td>120</td>\n",
       "      <td>4.095563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pave</th>\n",
       "      <td>78</td>\n",
       "      <td>2.662116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lot Shape \n",
      " 4 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Reg</th>\n",
       "      <td>1859</td>\n",
       "      <td>63.447099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IR1</th>\n",
       "      <td>979</td>\n",
       "      <td>33.412969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IR2</th>\n",
       "      <td>76</td>\n",
       "      <td>2.593857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IR3</th>\n",
       "      <td>16</td>\n",
       "      <td>0.546075</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Land Contour \n",
      " 4 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Lvl</th>\n",
       "      <td>2633</td>\n",
       "      <td>89.863481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HLS</th>\n",
       "      <td>120</td>\n",
       "      <td>4.095563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bnk</th>\n",
       "      <td>117</td>\n",
       "      <td>3.993174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Low</th>\n",
       "      <td>60</td>\n",
       "      <td>2.047782</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Utilities \n",
      " 3 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AllPub</th>\n",
       "      <td>2927</td>\n",
       "      <td>99.897611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NoSewr</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NoSeWa</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lot Config \n",
      " 5 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Inside</th>\n",
       "      <td>2140</td>\n",
       "      <td>73.037543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corner</th>\n",
       "      <td>511</td>\n",
       "      <td>17.440273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CulDSac</th>\n",
       "      <td>180</td>\n",
       "      <td>6.143345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FR2</th>\n",
       "      <td>85</td>\n",
       "      <td>2.901024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FR3</th>\n",
       "      <td>14</td>\n",
       "      <td>0.477816</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Land Slope \n",
      " 3 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Gtl</th>\n",
       "      <td>2789</td>\n",
       "      <td>95.187713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mod</th>\n",
       "      <td>125</td>\n",
       "      <td>4.266212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sev</th>\n",
       "      <td>16</td>\n",
       "      <td>0.546075</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighborhood \n",
      " 28 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NAmes</th>\n",
       "      <td>443</td>\n",
       "      <td>15.119454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CollgCr</th>\n",
       "      <td>267</td>\n",
       "      <td>9.112628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OldTown</th>\n",
       "      <td>239</td>\n",
       "      <td>8.156997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Edwards</th>\n",
       "      <td>194</td>\n",
       "      <td>6.621160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Somerst</th>\n",
       "      <td>182</td>\n",
       "      <td>6.211604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NridgHt</th>\n",
       "      <td>166</td>\n",
       "      <td>5.665529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gilbert</th>\n",
       "      <td>165</td>\n",
       "      <td>5.631399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sawyer</th>\n",
       "      <td>151</td>\n",
       "      <td>5.153584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NWAmes</th>\n",
       "      <td>131</td>\n",
       "      <td>4.470990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SawyerW</th>\n",
       "      <td>125</td>\n",
       "      <td>4.266212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mitchel</th>\n",
       "      <td>114</td>\n",
       "      <td>3.890785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BrkSide</th>\n",
       "      <td>108</td>\n",
       "      <td>3.686007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crawfor</th>\n",
       "      <td>103</td>\n",
       "      <td>3.515358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IDOTRR</th>\n",
       "      <td>93</td>\n",
       "      <td>3.174061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timber</th>\n",
       "      <td>72</td>\n",
       "      <td>2.457338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NoRidge</th>\n",
       "      <td>71</td>\n",
       "      <td>2.423208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StoneBr</th>\n",
       "      <td>51</td>\n",
       "      <td>1.740614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SWISU</th>\n",
       "      <td>48</td>\n",
       "      <td>1.638225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ClearCr</th>\n",
       "      <td>44</td>\n",
       "      <td>1.501706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MeadowV</th>\n",
       "      <td>37</td>\n",
       "      <td>1.262799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BrDale</th>\n",
       "      <td>30</td>\n",
       "      <td>1.023891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blmngtn</th>\n",
       "      <td>28</td>\n",
       "      <td>0.955631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Veenker</th>\n",
       "      <td>24</td>\n",
       "      <td>0.819113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NPkVill</th>\n",
       "      <td>23</td>\n",
       "      <td>0.784983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blueste</th>\n",
       "      <td>10</td>\n",
       "      <td>0.341297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greens</th>\n",
       "      <td>8</td>\n",
       "      <td>0.273038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GrnHill</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Landmrk</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Condition 1 \n",
      " 9 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Norm</th>\n",
       "      <td>2522</td>\n",
       "      <td>86.075085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feedr</th>\n",
       "      <td>164</td>\n",
       "      <td>5.597270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Artery</th>\n",
       "      <td>92</td>\n",
       "      <td>3.139932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RRAn</th>\n",
       "      <td>50</td>\n",
       "      <td>1.706485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PosN</th>\n",
       "      <td>39</td>\n",
       "      <td>1.331058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RRAe</th>\n",
       "      <td>28</td>\n",
       "      <td>0.955631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PosA</th>\n",
       "      <td>20</td>\n",
       "      <td>0.682594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RRNn</th>\n",
       "      <td>9</td>\n",
       "      <td>0.307167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RRNe</th>\n",
       "      <td>6</td>\n",
       "      <td>0.204778</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Condition 2 \n",
      " 8 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Norm</th>\n",
       "      <td>2900</td>\n",
       "      <td>98.976109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feedr</th>\n",
       "      <td>13</td>\n",
       "      <td>0.443686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Artery</th>\n",
       "      <td>5</td>\n",
       "      <td>0.170648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PosA</th>\n",
       "      <td>4</td>\n",
       "      <td>0.136519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PosN</th>\n",
       "      <td>4</td>\n",
       "      <td>0.136519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RRNn</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RRAe</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RRAn</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bldg Type \n",
      " 5 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1Fam</th>\n",
       "      <td>2425</td>\n",
       "      <td>82.764505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TwnhsE</th>\n",
       "      <td>233</td>\n",
       "      <td>7.952218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Duplex</th>\n",
       "      <td>109</td>\n",
       "      <td>3.720137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Twnhs</th>\n",
       "      <td>101</td>\n",
       "      <td>3.447099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2fmCon</th>\n",
       "      <td>62</td>\n",
       "      <td>2.116041</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "House Style \n",
      " 8 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1Story</th>\n",
       "      <td>1481</td>\n",
       "      <td>50.546075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2Story</th>\n",
       "      <td>873</td>\n",
       "      <td>29.795222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.5Fin</th>\n",
       "      <td>314</td>\n",
       "      <td>10.716724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLvl</th>\n",
       "      <td>128</td>\n",
       "      <td>4.368601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SFoyer</th>\n",
       "      <td>83</td>\n",
       "      <td>2.832765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.5Unf</th>\n",
       "      <td>24</td>\n",
       "      <td>0.819113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.5Unf</th>\n",
       "      <td>19</td>\n",
       "      <td>0.648464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.5Fin</th>\n",
       "      <td>8</td>\n",
       "      <td>0.273038</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Roof Style \n",
      " 6 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Gable</th>\n",
       "      <td>2321</td>\n",
       "      <td>79.215017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hip</th>\n",
       "      <td>551</td>\n",
       "      <td>18.805461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gambrel</th>\n",
       "      <td>22</td>\n",
       "      <td>0.750853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Flat</th>\n",
       "      <td>20</td>\n",
       "      <td>0.682594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mansard</th>\n",
       "      <td>11</td>\n",
       "      <td>0.375427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shed</th>\n",
       "      <td>5</td>\n",
       "      <td>0.170648</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Roof Matl \n",
      " 8 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CompShg</th>\n",
       "      <td>2887</td>\n",
       "      <td>98.532423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tar&amp;Grv</th>\n",
       "      <td>23</td>\n",
       "      <td>0.784983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WdShake</th>\n",
       "      <td>9</td>\n",
       "      <td>0.307167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WdShngl</th>\n",
       "      <td>7</td>\n",
       "      <td>0.238908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Membran</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ClyTile</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roll</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Metal</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exterior 1st \n",
      " 16 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>VinylSd</th>\n",
       "      <td>1026</td>\n",
       "      <td>35.017065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MetalSd</th>\n",
       "      <td>450</td>\n",
       "      <td>15.358362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HdBoard</th>\n",
       "      <td>442</td>\n",
       "      <td>15.085324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wd Sdng</th>\n",
       "      <td>420</td>\n",
       "      <td>14.334471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plywood</th>\n",
       "      <td>221</td>\n",
       "      <td>7.542662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CemntBd</th>\n",
       "      <td>126</td>\n",
       "      <td>4.300341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BrkFace</th>\n",
       "      <td>88</td>\n",
       "      <td>3.003413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WdShing</th>\n",
       "      <td>56</td>\n",
       "      <td>1.911263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AsbShng</th>\n",
       "      <td>44</td>\n",
       "      <td>1.501706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stucco</th>\n",
       "      <td>43</td>\n",
       "      <td>1.467577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BrkComm</th>\n",
       "      <td>6</td>\n",
       "      <td>0.204778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AsphShn</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CBlock</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stone</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PreCast</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ImStucc</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exterior 2nd \n",
      " 17 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>VinylSd</th>\n",
       "      <td>1015</td>\n",
       "      <td>34.641638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MetalSd</th>\n",
       "      <td>447</td>\n",
       "      <td>15.255973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HdBoard</th>\n",
       "      <td>406</td>\n",
       "      <td>13.856655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wd Sdng</th>\n",
       "      <td>397</td>\n",
       "      <td>13.549488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plywood</th>\n",
       "      <td>274</td>\n",
       "      <td>9.351536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CmentBd</th>\n",
       "      <td>126</td>\n",
       "      <td>4.300341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wd Shng</th>\n",
       "      <td>81</td>\n",
       "      <td>2.764505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stucco</th>\n",
       "      <td>47</td>\n",
       "      <td>1.604096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BrkFace</th>\n",
       "      <td>47</td>\n",
       "      <td>1.604096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AsbShng</th>\n",
       "      <td>38</td>\n",
       "      <td>1.296928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brk Cmn</th>\n",
       "      <td>22</td>\n",
       "      <td>0.750853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ImStucc</th>\n",
       "      <td>15</td>\n",
       "      <td>0.511945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stone</th>\n",
       "      <td>6</td>\n",
       "      <td>0.204778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AsphShn</th>\n",
       "      <td>4</td>\n",
       "      <td>0.136519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CBlock</th>\n",
       "      <td>3</td>\n",
       "      <td>0.102389</td>\n",
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       "    <tr>\n",
       "      <th>PreCast</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
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       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
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       "</table>"
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     "text": [
      "Mas Vnr Type \n",
      " 6 unique values: \n"
     ]
    },
    {
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       "      <td>1752</td>\n",
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       "      <th>BrkFace</th>\n",
       "      <td>880</td>\n",
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       "      <th>Stone</th>\n",
       "      <td>249</td>\n",
       "      <td>8.498294</td>\n",
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       "      <th>BrkCmn</th>\n",
       "      <td>25</td>\n",
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       "      <th>Missing</th>\n",
       "      <td>23</td>\n",
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     "text": [
      "Exter Qual \n",
      " 4 unique values: \n"
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    },
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       "      <th>TA</th>\n",
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       "      <th>Gd</th>\n",
       "      <td>989</td>\n",
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       "      <th>Ex</th>\n",
       "      <td>107</td>\n",
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       "      <td>35</td>\n",
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      "Exter Cond \n",
      " 5 unique values: \n"
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    },
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       "      <th>Gd</th>\n",
       "      <td>299</td>\n",
       "      <td>10.204778</td>\n",
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       "    <tr>\n",
       "      <th>Fa</th>\n",
       "      <td>67</td>\n",
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       "      <td>12</td>\n",
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       "      <th>Po</th>\n",
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     "text": [
      "Foundation \n",
      " 6 unique values: \n"
     ]
    },
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       "      <td>1244</td>\n",
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       "      <td>311</td>\n",
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       "      <th>Slab</th>\n",
       "      <td>49</td>\n",
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       "      <th>Stone</th>\n",
       "      <td>11</td>\n",
       "      <td>0.375427</td>\n",
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       "    <tr>\n",
       "      <th>Wood</th>\n",
       "      <td>5</td>\n",
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     "text": [
      "Bsmt Qual \n",
      " 6 unique values: \n"
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       "      <td>1219</td>\n",
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       "      <td>258</td>\n",
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       "      <td>88</td>\n",
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      "Bsmt Cond \n",
      " 6 unique values: \n"
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       "      <th>Gd</th>\n",
       "      <td>122</td>\n",
       "      <td>4.163823</td>\n",
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       "    <tr>\n",
       "      <th>Fa</th>\n",
       "      <td>104</td>\n",
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     "text": [
      "Bsmt Exposure \n",
      " 5 unique values: \n"
     ]
    },
    {
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       "    <tr>\n",
       "      <th>No</th>\n",
       "      <td>1906</td>\n",
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       "    <tr>\n",
       "      <th>Av</th>\n",
       "      <td>418</td>\n",
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       "    <tr>\n",
       "      <th>Gd</th>\n",
       "      <td>284</td>\n",
       "      <td>9.692833</td>\n",
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       "      <th>Mn</th>\n",
       "      <td>239</td>\n",
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       "      <th>Missing</th>\n",
       "      <td>83</td>\n",
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     "text": [
      "BsmtFin Type 1 \n",
      " 7 unique values: \n"
     ]
    },
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       "      <td>851</td>\n",
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       "      <th>ALQ</th>\n",
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       "    <tr>\n",
       "      <th>Rec</th>\n",
       "      <td>288</td>\n",
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       "      <th>BLQ</th>\n",
       "      <td>269</td>\n",
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       "      <th>LwQ</th>\n",
       "      <td>154</td>\n",
       "      <td>5.255973</td>\n",
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       "    <tr>\n",
       "      <th>Missing</th>\n",
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      "BsmtFin Type 2 \n",
      " 7 unique values: \n"
     ]
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       "      <td>106</td>\n",
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       "      <th>LwQ</th>\n",
       "      <td>89</td>\n",
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       "      <th>Missing</th>\n",
       "      <td>81</td>\n",
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       "      <th>BLQ</th>\n",
       "      <td>68</td>\n",
       "      <td>2.320819</td>\n",
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       "      <th>ALQ</th>\n",
       "      <td>53</td>\n",
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       "      <th>GLQ</th>\n",
       "      <td>34</td>\n",
       "      <td>1.160410</td>\n",
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     "text": [
      "Heating \n",
      " 6 unique values: \n"
     ]
    },
    {
     "data": {
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       "      <th>GasA</th>\n",
       "      <td>2885</td>\n",
       "      <td>98.464164</td>\n",
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       "    <tr>\n",
       "      <th>GasW</th>\n",
       "      <td>27</td>\n",
       "      <td>0.921502</td>\n",
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       "    <tr>\n",
       "      <th>Grav</th>\n",
       "      <td>9</td>\n",
       "      <td>0.307167</td>\n",
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       "    <tr>\n",
       "      <th>Wall</th>\n",
       "      <td>6</td>\n",
       "      <td>0.204778</td>\n",
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       "    <tr>\n",
       "      <th>OthW</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
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       "      <th>Floor</th>\n",
       "      <td>1</td>\n",
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      "Heating QC \n",
      " 5 unique values: \n"
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       "      <td>1495</td>\n",
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       "      <th>TA</th>\n",
       "      <td>864</td>\n",
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       "    <tr>\n",
       "      <th>Gd</th>\n",
       "      <td>476</td>\n",
       "      <td>16.245734</td>\n",
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       "    <tr>\n",
       "      <th>Fa</th>\n",
       "      <td>92</td>\n",
       "      <td>3.139932</td>\n",
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       "    <tr>\n",
       "      <th>Po</th>\n",
       "      <td>3</td>\n",
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     "text": [
      "Central Air \n",
      " 2 unique values: \n"
     ]
    },
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       "      <th>Y</th>\n",
       "      <td>2734</td>\n",
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       "    <tr>\n",
       "      <th>N</th>\n",
       "      <td>196</td>\n",
       "      <td>6.68942</td>\n",
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     "text": [
      "Electrical \n",
      " 6 unique values: \n"
     ]
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    {
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       "      <th>SBrkr</th>\n",
       "      <td>2682</td>\n",
       "      <td>91.535836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FuseA</th>\n",
       "      <td>188</td>\n",
       "      <td>6.416382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FuseF</th>\n",
       "      <td>50</td>\n",
       "      <td>1.706485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FuseP</th>\n",
       "      <td>8</td>\n",
       "      <td>0.273038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missing</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mix</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
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       "  </tbody>\n",
       "</table>"
      ],
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    {
     "name": "stdout",
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     "text": [
      "Kitchen Qual \n",
      " 5 unique values: \n"
     ]
    },
    {
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       "      <td>1494</td>\n",
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       "      <th>Gd</th>\n",
       "      <td>1160</td>\n",
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       "      <th>Ex</th>\n",
       "      <td>205</td>\n",
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     "text": [
      "Functional \n",
      " 8 unique values: \n"
     ]
    },
    {
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       "      <th>Typ</th>\n",
       "      <td>2728</td>\n",
       "      <td>93.105802</td>\n",
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       "    <tr>\n",
       "      <th>Min2</th>\n",
       "      <td>70</td>\n",
       "      <td>2.389078</td>\n",
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       "    <tr>\n",
       "      <th>Min1</th>\n",
       "      <td>65</td>\n",
       "      <td>2.218430</td>\n",
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       "    <tr>\n",
       "      <th>Mod</th>\n",
       "      <td>35</td>\n",
       "      <td>1.194539</td>\n",
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       "    <tr>\n",
       "      <th>Maj1</th>\n",
       "      <td>19</td>\n",
       "      <td>0.648464</td>\n",
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       "      <th>Maj2</th>\n",
       "      <td>9</td>\n",
       "      <td>0.307167</td>\n",
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       "    <tr>\n",
       "      <th>Sev</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
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       "    <tr>\n",
       "      <th>Sal</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
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       "</table>"
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fireplace Qu \n",
      " 6 unique values: \n"
     ]
    },
    {
     "data": {
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       "      <td>1422</td>\n",
       "      <td>48.532423</td>\n",
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       "    <tr>\n",
       "      <th>Gd</th>\n",
       "      <td>744</td>\n",
       "      <td>25.392491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TA</th>\n",
       "      <td>600</td>\n",
       "      <td>20.477816</td>\n",
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       "      <th>Fa</th>\n",
       "      <td>75</td>\n",
       "      <td>2.559727</td>\n",
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       "    <tr>\n",
       "      <th>Po</th>\n",
       "      <td>46</td>\n",
       "      <td>1.569966</td>\n",
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       "    <tr>\n",
       "      <th>Ex</th>\n",
       "      <td>43</td>\n",
       "      <td>1.467577</td>\n",
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       "</table>"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Garage Type \n",
      " 7 unique values: \n"
     ]
    },
    {
     "data": {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Attchd</th>\n",
       "      <td>1731</td>\n",
       "      <td>59.078498</td>\n",
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       "    <tr>\n",
       "      <th>Detchd</th>\n",
       "      <td>782</td>\n",
       "      <td>26.689420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BuiltIn</th>\n",
       "      <td>186</td>\n",
       "      <td>6.348123</td>\n",
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       "    <tr>\n",
       "      <th>Missing</th>\n",
       "      <td>157</td>\n",
       "      <td>5.358362</td>\n",
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       "    <tr>\n",
       "      <th>Basment</th>\n",
       "      <td>36</td>\n",
       "      <td>1.228669</td>\n",
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       "    <tr>\n",
       "      <th>2Types</th>\n",
       "      <td>23</td>\n",
       "      <td>0.784983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CarPort</th>\n",
       "      <td>15</td>\n",
       "      <td>0.511945</td>\n",
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       "</table>"
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     "text": [
      "Garage Finish \n",
      " 4 unique values: \n"
     ]
    },
    {
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       "      <th>Unf</th>\n",
       "      <td>1231</td>\n",
       "      <td>42.013652</td>\n",
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       "    <tr>\n",
       "      <th>RFn</th>\n",
       "      <td>812</td>\n",
       "      <td>27.713311</td>\n",
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       "      <th>Fin</th>\n",
       "      <td>728</td>\n",
       "      <td>24.846416</td>\n",
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       "    <tr>\n",
       "      <th>Missing</th>\n",
       "      <td>159</td>\n",
       "      <td>5.426621</td>\n",
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       "</table>"
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     "text": [
      "Garage Qual \n",
      " 6 unique values: \n"
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       "      <th>TA</th>\n",
       "      <td>2615</td>\n",
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       "      <th>Missing</th>\n",
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       "      <td>124</td>\n",
       "      <td>4.232082</td>\n",
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       "      <th>Gd</th>\n",
       "      <td>24</td>\n",
       "      <td>0.819113</td>\n",
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       "    <tr>\n",
       "      <th>Po</th>\n",
       "      <td>5</td>\n",
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       "      <th>Ex</th>\n",
       "      <td>3</td>\n",
       "      <td>0.102389</td>\n",
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       "</table>"
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     "text": [
      "Garage Cond \n",
      " 6 unique values: \n"
     ]
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       "      <th>TA</th>\n",
       "      <td>2665</td>\n",
       "      <td>90.955631</td>\n",
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       "    <tr>\n",
       "      <th>Missing</th>\n",
       "      <td>159</td>\n",
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       "      <th>Fa</th>\n",
       "      <td>74</td>\n",
       "      <td>2.525597</td>\n",
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       "      <th>Gd</th>\n",
       "      <td>15</td>\n",
       "      <td>0.511945</td>\n",
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       "    <tr>\n",
       "      <th>Po</th>\n",
       "      <td>14</td>\n",
       "      <td>0.477816</td>\n",
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       "    <tr>\n",
       "      <th>Ex</th>\n",
       "      <td>3</td>\n",
       "      <td>0.102389</td>\n",
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       "  </tbody>\n",
       "</table>"
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Paved Drive \n",
      " 3 unique values: \n"
     ]
    },
    {
     "data": {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Y</th>\n",
       "      <td>2652</td>\n",
       "      <td>90.511945</td>\n",
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       "    <tr>\n",
       "      <th>N</th>\n",
       "      <td>216</td>\n",
       "      <td>7.372014</td>\n",
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       "    <tr>\n",
       "      <th>P</th>\n",
       "      <td>62</td>\n",
       "      <td>2.116041</td>\n",
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       "</table>"
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     "text": [
      "Pool QC \n",
      " 5 unique values: \n"
     ]
    },
    {
     "data": {
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       "    <tr>\n",
       "      <th>Missing</th>\n",
       "      <td>2917</td>\n",
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       "      <td>4</td>\n",
       "      <td>0.136519</td>\n",
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       "    <tr>\n",
       "      <th>Gd</th>\n",
       "      <td>4</td>\n",
       "      <td>0.136519</td>\n",
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       "    <tr>\n",
       "      <th>TA</th>\n",
       "      <td>3</td>\n",
       "      <td>0.102389</td>\n",
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       "    <tr>\n",
       "      <th>Fa</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
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       "</table>"
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     "name": "stdout",
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     "text": [
      "Fence \n",
      " 5 unique values: \n"
     ]
    },
    {
     "data": {
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       "      <th>Missing</th>\n",
       "      <td>2358</td>\n",
       "      <td>80.477816</td>\n",
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       "    <tr>\n",
       "      <th>MnPrv</th>\n",
       "      <td>330</td>\n",
       "      <td>11.262799</td>\n",
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       "    <tr>\n",
       "      <th>GdPrv</th>\n",
       "      <td>118</td>\n",
       "      <td>4.027304</td>\n",
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       "    <tr>\n",
       "      <th>GdWo</th>\n",
       "      <td>112</td>\n",
       "      <td>3.822526</td>\n",
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       "    <tr>\n",
       "      <th>MnWw</th>\n",
       "      <td>12</td>\n",
       "      <td>0.409556</td>\n",
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     "text": [
      "Misc Feature \n",
      " 6 unique values: \n"
     ]
    },
    {
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       "      <th>Missing</th>\n",
       "      <td>2824</td>\n",
       "      <td>96.382253</td>\n",
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       "    <tr>\n",
       "      <th>Shed</th>\n",
       "      <td>95</td>\n",
       "      <td>3.242321</td>\n",
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       "    <tr>\n",
       "      <th>Gar2</th>\n",
       "      <td>5</td>\n",
       "      <td>0.170648</td>\n",
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       "    <tr>\n",
       "      <th>Othr</th>\n",
       "      <td>4</td>\n",
       "      <td>0.136519</td>\n",
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       "    <tr>\n",
       "      <th>Elev</th>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>TenC</th>\n",
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     "text": [
      "Sale Type \n",
      " 10 unique values: \n"
     ]
    },
    {
     "data": {
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       "    <tr>\n",
       "      <th>WD</th>\n",
       "      <td>2536</td>\n",
       "      <td>86.552901</td>\n",
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       "    <tr>\n",
       "      <th>New</th>\n",
       "      <td>239</td>\n",
       "      <td>8.156997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COD</th>\n",
       "      <td>87</td>\n",
       "      <td>2.969283</td>\n",
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       "    <tr>\n",
       "      <th>ConLD</th>\n",
       "      <td>26</td>\n",
       "      <td>0.887372</td>\n",
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       "    <tr>\n",
       "      <th>CWD</th>\n",
       "      <td>12</td>\n",
       "      <td>0.409556</td>\n",
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       "    <tr>\n",
       "      <th>ConLI</th>\n",
       "      <td>9</td>\n",
       "      <td>0.307167</td>\n",
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       "    <tr>\n",
       "      <th>ConLw</th>\n",
       "      <td>8</td>\n",
       "      <td>0.273038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oth</th>\n",
       "      <td>7</td>\n",
       "      <td>0.238908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Con</th>\n",
       "      <td>5</td>\n",
       "      <td>0.170648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VWD</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sale Condition \n",
      " 6 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Normal</th>\n",
       "      <td>2413</td>\n",
       "      <td>82.354949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partial</th>\n",
       "      <td>245</td>\n",
       "      <td>8.361775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abnorml</th>\n",
       "      <td>190</td>\n",
       "      <td>6.484642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Family</th>\n",
       "      <td>46</td>\n",
       "      <td>1.569966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alloca</th>\n",
       "      <td>24</td>\n",
       "      <td>0.819113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdjLand</th>\n",
       "      <td>12</td>\n",
       "      <td>0.409556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# find categorical variables\n",
    "categorical = [var for var in data.columns if data[var].dtype=='O']\n",
    "print('There are {} categorical variables \\n'.format(len(categorical)))\n",
    "\n",
    "# Creating Series containing missing information\n",
    "cat_miss = data[categorical].isnull().sum()/data.shape[0]\n",
    "\n",
    "# changing missing values in categorical variables to 'Missing'\n",
    "for var in categorical:\n",
    "    data[var].fillna('Missing', inplace=True)\n",
    "\n",
    "# Print basic info about variable - % of missing, # of unique values, unique values in data\n",
    "for var in categorical:\n",
    "    valueCounts = pd.concat([data[var].value_counts(), \n",
    "                data[var].value_counts(normalize=True).mul(100)],axis=1, keys=('counts', 'percentage'))\n",
    "    print(var,'\\n',len(data[var].unique()), 'unique values: ')\n",
    "    display(HTML(valueCounts.to_html()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable name   % of missing\n",
      " Alley           0.932423\n",
      "Pool QC         0.995563\n",
      "Fence           0.804778\n",
      "Misc Feature    0.963823\n",
      "dtype: float64 \n",
      " 4 variables removed.\n",
      "\n",
      "There are 40 categorical variables left for analysis.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Removing non-numeric variables with too much missing data\n",
    "print('Variable name   % of missing\\n',cat_miss[cat_miss > c_miss_cutoff],'\\n',cat_miss[cat_miss > c_miss_cutoff].shape[0],'variables removed.')\n",
    "for var in cat_miss[cat_miss > c_miss_cutoff].index:\n",
    "    try:\n",
    "        categorical.remove(var)\n",
    "    except:\n",
    "        print('Variable',var,'is already removed from categorical list.')\n",
    "\n",
    "print('\\nThere are {} categorical variables left for analysis.\\n'.format(len(categorical)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MANUAL_INPUT\n",
    "# Below variables are numbers stored as string or can be easily translated to numbers (Central Air to binary) \n",
    "\n",
    "# Variable value dictionary \n",
    "# Ex - Excellent\n",
    "# Gd - Good\n",
    "# TA - Typical/Average\n",
    "# Fa - Fair\n",
    "# Po - Poor\n",
    "# Bsmt Qual missing - no basement\n",
    "# Bsmt Cond missing - no basement\n",
    "# Garage Qual missing - no garage\n",
    "# Garage Cond missing - no garage\n",
    "# Pool QC missing - no pool\n",
    "# Fireplace Qu missing - no fireplace\n",
    "\n",
    "for var in ['Exter Qual', 'Exter Cond', 'Bsmt Qual', 'Bsmt Cond', 'Heating QC', 'Kitchen Qual', 'Garage Qual', 'Garage Cond', \n",
    "    'Fireplace Qu']:\n",
    "    data[var].replace(['Missing', 'Po', 'Fa', 'TA', 'Gd', 'Ex'],[0, 1, 2, 3, 4, 5], inplace=True)\n",
    "    data[var]=data[var].astype(int)\n",
    "    try:\n",
    "        categorical.remove(var)\n",
    "    except:\n",
    "        print('Variable',var,'is already removed from categorical list.')    \n",
    "    \n",
    "\n",
    "data['Central Air'].replace(['Y','N'],[1, 0], inplace=True)\n",
    "data['Central Air']=data['Central Air'].astype(int)\n",
    "try:\n",
    "    categorical.remove('Central Air')\n",
    "except:\n",
    "    print('Variable Central Air is already removed from categorical list.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 3000x2000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Correlation for non-numeric variables\n",
    "# Dython nominal.associations works well with object-type variables, may cause trouble with string-type variables\n",
    "categorical.append(target)\n",
    "corr_nom = nominal.associations(data[categorical],figsize=(30,20))\n",
    "categorical.remove(target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SalePrice         1.000000\n",
      "Neighborhood      0.757151\n",
      "Garage Finish     0.554700\n",
      "Foundation        0.529272\n",
      "Garage Type       0.498820\n",
      "MS SubClass       0.497762\n",
      "BsmtFin Type 1    0.477178\n",
      "Mas Vnr Type      0.445932\n",
      "Bsmt Exposure     0.424721\n",
      "Exterior 1st      0.412103\n",
      "Exterior 2nd      0.411566\n",
      "Sale Type         0.373915\n",
      "Sale Condition    0.370903\n",
      "MS Zoning         0.340301\n",
      "Lot Shape         0.302770\n",
      "Roof Style        0.279362\n",
      "House Style       0.278276\n",
      "Paved Drive       0.276871\n",
      "Electrical        0.242098\n",
      "Condition 1       0.212481\n",
      "Land Contour      0.209026\n",
      "Bldg Type         0.185816\n",
      "BsmtFin Type 2    0.175999\n",
      "Condition 2       0.156105\n",
      "Lot Config        0.144932\n",
      "Functional        0.132555\n",
      "Roof Matl         0.126682\n",
      "Heating           0.098599\n",
      "Land Slope        0.068563\n",
      "Street            0.059519\n",
      "Utilities         0.032503\n",
      "Name: SalePrice, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Correlation of non-numeric data with target in descending order\n",
    "category_correlations = corr_nom[\"corr\"][target].sort_values(ascending=False)\n",
    "print(category_correlations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 26 categorical variables left\n"
     ]
    }
   ],
   "source": [
    "# Removing non-numeric variables with correlation to target variable that is lower than parameter low_corr_category_param\n",
    "# Warning: this might save some time for linear models, however you might lose significant information and not recommended \n",
    "# for non-linear approaches\n",
    "for item in category_correlations[category_correlations < low_corr_category_parm].index:\n",
    "    categorical.remove(item)\n",
    "    \n",
    "print('There are {} categorical variables left'.format(len(categorical)))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "26 categorical variables will be considered for modeling purposes.  \n",
    "In order to fit them into model we might consider target encoding, one-hot encoding or some other transformation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Yr Sold \n",
      " 5 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>694</td>\n",
       "      <td>23.686007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>648</td>\n",
       "      <td>22.116041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>625</td>\n",
       "      <td>21.331058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>622</td>\n",
       "      <td>21.228669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>341</td>\n",
       "      <td>11.638225</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# MANUAL_INPUT\n",
    "# Visual investigation of target data by groups\n",
    "gp23eda.var_boxplot(var = 'Yr Sold', data = data, target = target, title = 'Median of Sale Price by Year')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that median sale price by ear of selling is more or less on the same level with slight decrease in 2008 (potentially because of subprime mortgage lending crisis), but recovering in upcoming years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighborhood \n",
      " 28 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NAmes</th>\n",
       "      <td>443</td>\n",
       "      <td>15.119454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CollgCr</th>\n",
       "      <td>267</td>\n",
       "      <td>9.112628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OldTown</th>\n",
       "      <td>239</td>\n",
       "      <td>8.156997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Edwards</th>\n",
       "      <td>194</td>\n",
       "      <td>6.621160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Somerst</th>\n",
       "      <td>182</td>\n",
       "      <td>6.211604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NridgHt</th>\n",
       "      <td>166</td>\n",
       "      <td>5.665529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gilbert</th>\n",
       "      <td>165</td>\n",
       "      <td>5.631399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sawyer</th>\n",
       "      <td>151</td>\n",
       "      <td>5.153584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NWAmes</th>\n",
       "      <td>131</td>\n",
       "      <td>4.470990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SawyerW</th>\n",
       "      <td>125</td>\n",
       "      <td>4.266212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mitchel</th>\n",
       "      <td>114</td>\n",
       "      <td>3.890785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BrkSide</th>\n",
       "      <td>108</td>\n",
       "      <td>3.686007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crawfor</th>\n",
       "      <td>103</td>\n",
       "      <td>3.515358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IDOTRR</th>\n",
       "      <td>93</td>\n",
       "      <td>3.174061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timber</th>\n",
       "      <td>72</td>\n",
       "      <td>2.457338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NoRidge</th>\n",
       "      <td>71</td>\n",
       "      <td>2.423208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StoneBr</th>\n",
       "      <td>51</td>\n",
       "      <td>1.740614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SWISU</th>\n",
       "      <td>48</td>\n",
       "      <td>1.638225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ClearCr</th>\n",
       "      <td>44</td>\n",
       "      <td>1.501706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MeadowV</th>\n",
       "      <td>37</td>\n",
       "      <td>1.262799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BrDale</th>\n",
       "      <td>30</td>\n",
       "      <td>1.023891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blmngtn</th>\n",
       "      <td>28</td>\n",
       "      <td>0.955631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Veenker</th>\n",
       "      <td>24</td>\n",
       "      <td>0.819113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NPkVill</th>\n",
       "      <td>23</td>\n",
       "      <td>0.784983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blueste</th>\n",
       "      <td>10</td>\n",
       "      <td>0.341297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greens</th>\n",
       "      <td>8</td>\n",
       "      <td>0.273038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GrnHill</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Landmrk</th>\n",
       "      <td>1</td>\n",
       "      <td>0.034130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# MANUAL_INPUT\n",
    "gp23eda.var_boxplot(var =  \"Neighborhood\", data = data, target = target, \n",
    "        title = 'Sale Price by neighbourhood (sorted by median Sale Price descending)', xrotate = 60)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that there is huge sale price variance based on neighbourhood with median price in the most expensive neighbourhood (Stone Br) more than 3x exceeding median price in the cheapest neighbourhood (Meadow V).\n",
    "\n",
    "Small size categories have potential to be grouped together as \"other\" (reduce outlier influence).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MS Zoning \n",
      " 7 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RL</th>\n",
       "      <td>2273</td>\n",
       "      <td>77.576792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RM</th>\n",
       "      <td>462</td>\n",
       "      <td>15.767918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FV</th>\n",
       "      <td>139</td>\n",
       "      <td>4.744027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RH</th>\n",
       "      <td>27</td>\n",
       "      <td>0.921502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C (all)</th>\n",
       "      <td>25</td>\n",
       "      <td>0.853242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I (all)</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A (agr)</th>\n",
       "      <td>2</td>\n",
       "      <td>0.068259</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# MANUAL_INPUT\n",
    "gp23eda.var_boxplot(var =  \"MS Zoning\", data = data, target = target, \n",
    "        title = 'Sale Price by MS Zoning (sorted by median Sale Price descending)')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "High price differentiation based on MS Zoning, with most expensive zoning being:\n",
    "1) Floating Village Residential  \n",
    "2) Residential Low Density  \n",
    "3) Residential High Density  \n",
    "4) Residential Medium density  \n",
    "5) Industrial  \n",
    "6) Commercial  \n",
    "7) Agricultural\n",
    "\n",
    "Potential for grouping of less frequent categories ( C (all), I (all), A (agr) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sale Condition \n",
      " 6 unique values: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Normal</th>\n",
       "      <td>2413</td>\n",
       "      <td>82.354949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partial</th>\n",
       "      <td>245</td>\n",
       "      <td>8.361775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abnorml</th>\n",
       "      <td>190</td>\n",
       "      <td>6.484642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Family</th>\n",
       "      <td>46</td>\n",
       "      <td>1.569966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alloca</th>\n",
       "      <td>24</td>\n",
       "      <td>0.819113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdjLand</th>\n",
       "      <td>12</td>\n",
       "      <td>0.409556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# MANUAL_INPUT\n",
    "gp23eda.var_boxplot(var =  \"Sale Condition\", data = data, target = target, \n",
    "        title = 'Sale Price by Sale Condition (sorted by median Sale Price descending)')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Highest prices are associated with selling new houses (Partial), followed by normal sale type (Normal) and condo sale (Allocation).\n",
    "\n",
    "Potential for joining Adjoining Land Purchases ('AdjLand') and Sale between family members ('Family') categories."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.2 Numeric data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 48 numerical variables\n"
     ]
    }
   ],
   "source": [
    "# find numerical variables\n",
    "numerical = [var for var in data.columns if data[var].dtype!='O']\n",
    "print('There are {} numerical variables'.format(len(numerical)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall Qual  values:  [ 6  5  7  8  9  4  3  2 10  1]\n",
      "Overall Cond  values:  [5 6 7 2 8 4 9 3 1]\n",
      "Exter Qual  values:  [3 4 5 2]\n",
      "Exter Cond  values:  [3 4 2 1 5]\n",
      "Bsmt Qual  values:  [3 4 5 0 2 1]\n",
      "Bsmt Cond  values:  [4 3 0 1 2 5]\n",
      "Heating QC  values:  [2 3 5 4 1]\n",
      "Central Air  values:  [1 0]\n",
      "Bsmt Full Bath  values:  [ 1.  0.  2.  3. nan]\n",
      "Bsmt Half Bath  values:  [ 0.  1. nan  2.]\n",
      "Full Bath  values:  [1 2 3 0 4]\n",
      "Half Bath  values:  [0 1 2]\n",
      "Bedroom AbvGr  values:  [3 2 1 4 6 5 0 8]\n",
      "Kitchen AbvGr  values:  [1 2 3 0]\n",
      "Kitchen Qual  values:  [3 4 5 2 1]\n",
      "TotRms AbvGrd  values:  [ 7  5  6  8  4 12 10 11  9  3 13  2 15 14]\n",
      "Fireplaces  values:  [2 0 1 3 4]\n",
      "Fireplace Qu  values:  [4 0 3 1 5 2]\n",
      "Garage Cars  values:  [ 2.  1.  3.  0.  4.  5. nan]\n",
      "Garage Qual  values:  [3 0 2 4 5 1]\n",
      "Garage Cond  values:  [3 0 2 4 5 1]\n",
      "Pool Area  values:  [  0 144 480 576 555 368 444 228 561 519 648 800 512 738]\n",
      "Mo Sold  values:  [ 5  6  4  3  1  2  7 10  8 11  9 12]\n",
      "Yr Sold  values:  [2010 2009 2008 2007 2006]\n",
      "There are 24 discrete variables\n"
     ]
    }
   ],
   "source": [
    "discrete = []\n",
    "for var in numerical:\n",
    "    if len(data[var].unique())< levels_discrete:\n",
    "        print(var, ' values: ', data[var].unique())\n",
    "        discrete.append(var)\n",
    "        \n",
    "print('There are {} discrete variables'.format(len(discrete)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Lot Frontage',\n",
       " 'Lot Area',\n",
       " 'Year Built',\n",
       " 'Year Remod/Add',\n",
       " 'Mas Vnr Area',\n",
       " 'BsmtFin SF 1',\n",
       " 'BsmtFin SF 2',\n",
       " 'Bsmt Unf SF',\n",
       " 'Total Bsmt SF',\n",
       " '1st Flr SF',\n",
       " '2nd Flr SF',\n",
       " 'Low Qual Fin SF',\n",
       " 'Gr Liv Area',\n",
       " 'Garage Yr Blt',\n",
       " 'Garage Area',\n",
       " 'Wood Deck SF',\n",
       " 'Open Porch SF',\n",
       " 'Enclosed Porch',\n",
       " '3Ssn Porch',\n",
       " 'Screen Porch',\n",
       " 'Misc Val',\n",
       " 'SalePrice']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# temp list - additional list of variables (expert decision) to be excluded from continuous variables\n",
    "temp_list = []\n",
    "for item in ID_vars:\n",
    "    temp_list.append(item)\n",
    "\n",
    "continuous = [var for var in numerical if var not in discrete and var not in temp_list]\n",
    "continuous"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 2.2.1 Numeric variables - Missing values handling\n",
    "Usually this would be done on train & valid dataset only, excluding test/holdout data in order to prevent information leakage. However because of using mode value for missing data I am relaxing this requirement under assumption that train/valid and test data variable values distribution is similar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Order - 0.0% of missing values. Variable copied.\n",
      "PID - 0.0% of missing values. Variable copied.\n",
      "Lot Frontage - 16.7235% of missing values. Variable copied.\n",
      "Lot Area - 0.0% of missing values. Variable copied.\n",
      "Overall Qual - 0.0% of missing values. Variable copied.\n",
      "Overall Cond - 0.0% of missing values. Variable copied.\n",
      "Year Built - 0.0% of missing values. Variable copied.\n",
      "Year Remod/Add - 0.0% of missing values. Variable copied.\n",
      "Mas Vnr Area - 0.785% of missing values. They are replaced with mode value - 0.0\n",
      "Mas Vnr Area_NA is created to indicate missing values of original variable.\n",
      "Mas Vnr Area_NA added to na_var_list.\n",
      "Exter Qual - 0.0% of missing values. Variable copied.\n",
      "Exter Cond - 0.0% of missing values. Variable copied.\n",
      "Bsmt Qual - 0.0% of missing values. Variable copied.\n",
      "Bsmt Cond - 0.0% of missing values. Variable copied.\n",
      "BsmtFin SF 1 - 0.0341% of missing values. They are replaced with mode value - 0.0\n",
      "BsmtFin SF 1_NA is created to indicate missing values of original variable.\n",
      "BsmtFin SF 1_NA added to na_var_list.\n",
      "BsmtFin SF 2 - 0.0341% of missing values. They are replaced with mode value - 0.0\n",
      "BsmtFin SF 2_NA is created to indicate missing values of original variable.\n",
      "BsmtFin SF 2_NA added to na_var_list.\n",
      "Bsmt Unf SF - 0.0341% of missing values. They are replaced with mode value - 0.0\n",
      "Bsmt Unf SF_NA is created to indicate missing values of original variable.\n",
      "Bsmt Unf SF_NA added to na_var_list.\n",
      "Total Bsmt SF - 0.0341% of missing values. They are replaced with mode value - 0.0\n",
      "Total Bsmt SF_NA is created to indicate missing values of original variable.\n",
      "Total Bsmt SF_NA added to na_var_list.\n",
      "Heating QC - 0.0% of missing values. Variable copied.\n",
      "Central Air - 0.0% of missing values. Variable copied.\n",
      "1st Flr SF - 0.0% of missing values. Variable copied.\n",
      "2nd Flr SF - 0.0% of missing values. Variable copied.\n",
      "Low Qual Fin SF - 0.0% of missing values. Variable copied.\n",
      "Gr Liv Area - 0.0% of missing values. Variable copied.\n",
      "Bsmt Full Bath - 0.0683% of missing values. They are replaced with mode value - 0.0\n",
      "Bsmt Full Bath_NA is created to indicate missing values of original variable.\n",
      "Bsmt Full Bath_NA added to na_var_list.\n",
      "Bsmt Half Bath - 0.0683% of missing values. They are replaced with mode value - 0.0\n",
      "Bsmt Half Bath_NA is created to indicate missing values of original variable.\n",
      "Bsmt Half Bath_NA added to na_var_list.\n",
      "Full Bath - 0.0% of missing values. Variable copied.\n",
      "Half Bath - 0.0% of missing values. Variable copied.\n",
      "Bedroom AbvGr - 0.0% of missing values. Variable copied.\n",
      "Kitchen AbvGr - 0.0% of missing values. Variable copied.\n",
      "Kitchen Qual - 0.0% of missing values. Variable copied.\n",
      "TotRms AbvGrd - 0.0% of missing values. Variable copied.\n",
      "Fireplaces - 0.0% of missing values. Variable copied.\n",
      "Fireplace Qu - 0.0% of missing values. Variable copied.\n",
      "Garage Yr Blt - 5.4266% of missing values. Variable copied.\n",
      "Garage Cars - 0.0341% of missing values. They are replaced with mode value - 2.0\n",
      "Garage Cars_NA is created to indicate missing values of original variable.\n",
      "Garage Cars_NA added to na_var_list.\n",
      "Garage Area - 0.0341% of missing values. They are replaced with mode value - 0.0\n",
      "Garage Area_NA is created to indicate missing values of original variable.\n",
      "Garage Area_NA added to na_var_list.\n",
      "Garage Qual - 0.0% of missing values. Variable copied.\n",
      "Garage Cond - 0.0% of missing values. Variable copied.\n",
      "Wood Deck SF - 0.0% of missing values. Variable copied.\n",
      "Open Porch SF - 0.0% of missing values. Variable copied.\n",
      "Enclosed Porch - 0.0% of missing values. Variable copied.\n",
      "3Ssn Porch - 0.0% of missing values. Variable copied.\n",
      "Screen Porch - 0.0% of missing values. Variable copied.\n",
      "Pool Area - 0.0% of missing values. Variable copied.\n",
      "Misc Val - 0.0% of missing values. Variable copied.\n",
      "Mo Sold - 0.0% of missing values. Variable copied.\n",
      "Yr Sold - 0.0% of missing values. Variable copied.\n",
      "SalePrice - 0.0% of missing values. Variable copied.\n"
     ]
    }
   ],
   "source": [
    "transformation = gp23feat.FeatureCorrection(data_in = data, na_var_list = discrete, numerical_var_list = numerical)\n",
    "data_transformed = transformation.output()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order</th>\n",
       "      <th>PID</th>\n",
       "      <th>Lot Frontage</th>\n",
       "      <th>Lot Area</th>\n",
       "      <th>Overall Qual</th>\n",
       "      <th>Overall Cond</th>\n",
       "      <th>Year Built</th>\n",
       "      <th>Year Remod/Add</th>\n",
       "      <th>Mas Vnr Area_NA</th>\n",
       "      <th>Mas Vnr Area</th>\n",
       "      <th>Exter Qual</th>\n",
       "      <th>Exter Cond</th>\n",
       "      <th>Bsmt Qual</th>\n",
       "      <th>Bsmt Cond</th>\n",
       "      <th>BsmtFin SF 1_NA</th>\n",
       "      <th>BsmtFin SF 1</th>\n",
       "      <th>BsmtFin SF 2_NA</th>\n",
       "      <th>BsmtFin SF 2</th>\n",
       "      <th>Bsmt Unf SF_NA</th>\n",
       "      <th>Bsmt Unf SF</th>\n",
       "      <th>Total Bsmt SF_NA</th>\n",
       "      <th>Total Bsmt SF</th>\n",
       "      <th>Heating QC</th>\n",
       "      <th>Central Air</th>\n",
       "      <th>1st Flr SF</th>\n",
       "      <th>2nd Flr SF</th>\n",
       "      <th>Low Qual Fin SF</th>\n",
       "      <th>Gr Liv Area</th>\n",
       "      <th>Bsmt Full Bath_NA</th>\n",
       "      <th>Bsmt Full Bath</th>\n",
       "      <th>Bsmt Half Bath_NA</th>\n",
       "      <th>Bsmt Half Bath</th>\n",
       "      <th>Full Bath</th>\n",
       "      <th>Half Bath</th>\n",
       "      <th>Bedroom AbvGr</th>\n",
       "      <th>Kitchen AbvGr</th>\n",
       "      <th>Kitchen Qual</th>\n",
       "      <th>TotRms AbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>Fireplace Qu</th>\n",
       "      <th>Garage Yr Blt</th>\n",
       "      <th>Garage Cars_NA</th>\n",
       "      <th>Garage Cars</th>\n",
       "      <th>Garage Area_NA</th>\n",
       "      <th>Garage Area</th>\n",
       "      <th>Garage Qual</th>\n",
       "      <th>Garage Cond</th>\n",
       "      <th>Wood Deck SF</th>\n",
       "      <th>Open Porch SF</th>\n",
       "      <th>Enclosed Porch</th>\n",
       "      <th>3Ssn Porch</th>\n",
       "      <th>Screen Porch</th>\n",
       "      <th>Pool Area</th>\n",
       "      <th>Misc Val</th>\n",
       "      <th>Mo Sold</th>\n",
       "      <th>Yr Sold</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MS SubClass</th>\n",
       "      <th>MS Zoning</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>Lot Shape</th>\n",
       "      <th>Land Contour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>Lot Config</th>\n",
       "      <th>Land Slope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition 1</th>\n",
       "      <th>Condition 2</th>\n",
       "      <th>Bldg Type</th>\n",
       "      <th>House Style</th>\n",
       "      <th>Roof Style</th>\n",
       "      <th>Roof Matl</th>\n",
       "      <th>Exterior 1st</th>\n",
       "      <th>Exterior 2nd</th>\n",
       "      <th>Mas Vnr Type</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>Bsmt Exposure</th>\n",
       "      <th>BsmtFin Type 1</th>\n",
       "      <th>BsmtFin Type 2</th>\n",
       "      <th>Heating</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>Functional</th>\n",
       "      <th>Garage Type</th>\n",
       "      <th>Garage Finish</th>\n",
       "      <th>Paved Drive</th>\n",
       "      <th>Pool QC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>Misc Feature</th>\n",
       "      <th>Sale Type</th>\n",
       "      <th>Sale Condition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>526301100</td>\n",
       "      <td>141.0</td>\n",
       "      <td>31770</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1960</td>\n",
       "      <td>1960</td>\n",
       "      <td>0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>639.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>441.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1080.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1656</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1656</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
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       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>528.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>210</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "      <td>215000</td>\n",
       "      <td>C20</td>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>Hip</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>Plywood</td>\n",
       "      <td>Stone</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>Gd</td>\n",
       "      <td>BLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>Fin</td>\n",
       "      <td>P</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>526350040</td>\n",
       "      <td>80.0</td>\n",
       "      <td>11622</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1961</td>\n",
       "      <td>1961</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>468.0</td>\n",
       "      <td>0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>0</td>\n",
       "      <td>270.0</td>\n",
       "      <td>0</td>\n",
       "      <td>882.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>896</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>896</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1961.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2010</td>\n",
       "      <td>105000</td>\n",
       "      <td>C20</td>\n",
       "      <td>RH</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>Feedr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>None</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>No</td>\n",
       "      <td>Rec</td>\n",
       "      <td>LwQ</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>Unf</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>MnPrv</td>\n",
       "      <td>Missing</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>526351010</td>\n",
       "      <td>81.0</td>\n",
       "      <td>14267</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1958</td>\n",
       "      <td>1958</td>\n",
       "      <td>0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>923.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>406.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1329.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1329</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1329</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1958.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>312.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>393</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12500</td>\n",
       "      <td>6</td>\n",
       "      <td>2010</td>\n",
       "      <td>172000</td>\n",
       "      <td>C20</td>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>Hip</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>Wd Sdng</td>\n",
       "      <td>Wd Sdng</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>No</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>Unf</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Gar2</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>526353030</td>\n",
       "      <td>93.0</td>\n",
       "      <td>11160</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1968</td>\n",
       "      <td>1968</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1065.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1045.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2110.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2110</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1968.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>522.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2010</td>\n",
       "      <td>244000</td>\n",
       "      <td>C20</td>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>Hip</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>None</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>No</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>Fin</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>527105010</td>\n",
       "      <td>74.0</td>\n",
       "      <td>13830</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1997</td>\n",
       "      <td>1998</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>791.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>0</td>\n",
       "      <td>928.0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>928</td>\n",
       "      <td>701</td>\n",
       "      <td>0</td>\n",
       "      <td>1629</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>482.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>212</td>\n",
       "      <td>34</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>2010</td>\n",
       "      <td>189900</td>\n",
       "      <td>C60</td>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Gilbert</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>None</td>\n",
       "      <td>PConc</td>\n",
       "      <td>No</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>Fin</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>MnPrv</td>\n",
       "      <td>Missing</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Order        PID  Lot Frontage  Lot Area  Overall Qual  Overall Cond  \\\n",
       "0      1  526301100         141.0     31770             6             5   \n",
       "1      2  526350040          80.0     11622             5             6   \n",
       "2      3  526351010          81.0     14267             6             6   \n",
       "3      4  526353030          93.0     11160             7             5   \n",
       "4      5  527105010          74.0     13830             5             5   \n",
       "\n",
       "   Year Built  Year Remod/Add  Mas Vnr Area_NA  Mas Vnr Area  Exter Qual  \\\n",
       "0        1960            1960                0         112.0           3   \n",
       "1        1961            1961                0           0.0           3   \n",
       "2        1958            1958                0         108.0           3   \n",
       "3        1968            1968                0           0.0           4   \n",
       "4        1997            1998                0           0.0           3   \n",
       "\n",
       "   Exter Cond  Bsmt Qual  Bsmt Cond  BsmtFin SF 1_NA  BsmtFin SF 1  \\\n",
       "0           3          3          4                0         639.0   \n",
       "1           3          3          3                0         468.0   \n",
       "2           3          3          3                0         923.0   \n",
       "3           3          3          3                0        1065.0   \n",
       "4           3          4          3                0         791.0   \n",
       "\n",
       "   BsmtFin SF 2_NA  BsmtFin SF 2  Bsmt Unf SF_NA  Bsmt Unf SF  \\\n",
       "0                0           0.0               0        441.0   \n",
       "1                0         144.0               0        270.0   \n",
       "2                0           0.0               0        406.0   \n",
       "3                0           0.0               0       1045.0   \n",
       "4                0           0.0               0        137.0   \n",
       "\n",
       "   Total Bsmt SF_NA  Total Bsmt SF  Heating QC  Central Air  1st Flr SF  \\\n",
       "0                 0         1080.0           2            1        1656   \n",
       "1                 0          882.0           3            1         896   \n",
       "2                 0         1329.0           3            1        1329   \n",
       "3                 0         2110.0           5            1        2110   \n",
       "4                 0          928.0           4            1         928   \n",
       "\n",
       "   2nd Flr SF  Low Qual Fin SF  Gr Liv Area  Bsmt Full Bath_NA  \\\n",
       "0           0                0         1656                  0   \n",
       "1           0                0          896                  0   \n",
       "2           0                0         1329                  0   \n",
       "3           0                0         2110                  0   \n",
       "4         701                0         1629                  0   \n",
       "\n",
       "   Bsmt Full Bath  Bsmt Half Bath_NA  Bsmt Half Bath  Full Bath  Half Bath  \\\n",
       "0             1.0                  0             0.0          1          0   \n",
       "1             0.0                  0             0.0          1          0   \n",
       "2             0.0                  0             0.0          1          1   \n",
       "3             1.0                  0             0.0          2          1   \n",
       "4             0.0                  0             0.0          2          1   \n",
       "\n",
       "   Bedroom AbvGr  Kitchen AbvGr  Kitchen Qual  TotRms AbvGrd  Fireplaces  \\\n",
       "0              3              1             3              7           2   \n",
       "1              2              1             3              5           0   \n",
       "2              3              1             4              6           0   \n",
       "3              3              1             5              8           2   \n",
       "4              3              1             3              6           1   \n",
       "\n",
       "   Fireplace Qu  Garage Yr Blt  Garage Cars_NA  Garage Cars  Garage Area_NA  \\\n",
       "0             4         1960.0               0          2.0               0   \n",
       "1             0         1961.0               0          1.0               0   \n",
       "2             0         1958.0               0          1.0               0   \n",
       "3             3         1968.0               0          2.0               0   \n",
       "4             3         1997.0               0          2.0               0   \n",
       "\n",
       "   Garage Area  Garage Qual  Garage Cond  Wood Deck SF  Open Porch SF  \\\n",
       "0        528.0            3            3           210             62   \n",
       "1        730.0            3            3           140              0   \n",
       "2        312.0            3            3           393             36   \n",
       "3        522.0            3            3             0              0   \n",
       "4        482.0            3            3           212             34   \n",
       "\n",
       "   Enclosed Porch  3Ssn Porch  Screen Porch  Pool Area  Misc Val  Mo Sold  \\\n",
       "0               0           0             0          0         0        5   \n",
       "1               0           0           120          0         0        6   \n",
       "2               0           0             0          0     12500        6   \n",
       "3               0           0             0          0         0        4   \n",
       "4               0           0             0          0         0        3   \n",
       "\n",
       "   Yr Sold  SalePrice MS SubClass MS Zoning Street    Alley Lot Shape  \\\n",
       "0     2010     215000         C20        RL   Pave  Missing       IR1   \n",
       "1     2010     105000         C20        RH   Pave  Missing       Reg   \n",
       "2     2010     172000         C20        RL   Pave  Missing       IR1   \n",
       "3     2010     244000         C20        RL   Pave  Missing       Reg   \n",
       "4     2010     189900         C60        RL   Pave  Missing       IR1   \n",
       "\n",
       "  Land Contour Utilities Lot Config Land Slope Neighborhood Condition 1  \\\n",
       "0          Lvl    AllPub     Corner        Gtl        NAmes        Norm   \n",
       "1          Lvl    AllPub     Inside        Gtl        NAmes       Feedr   \n",
       "2          Lvl    AllPub     Corner        Gtl        NAmes        Norm   \n",
       "3          Lvl    AllPub     Corner        Gtl        NAmes        Norm   \n",
       "4          Lvl    AllPub     Inside        Gtl      Gilbert        Norm   \n",
       "\n",
       "  Condition 2 Bldg Type House Style Roof Style Roof Matl Exterior 1st  \\\n",
       "0        Norm      1Fam      1Story        Hip   CompShg      BrkFace   \n",
       "1        Norm      1Fam      1Story      Gable   CompShg      VinylSd   \n",
       "2        Norm      1Fam      1Story        Hip   CompShg      Wd Sdng   \n",
       "3        Norm      1Fam      1Story        Hip   CompShg      BrkFace   \n",
       "4        Norm      1Fam      2Story      Gable   CompShg      VinylSd   \n",
       "\n",
       "  Exterior 2nd Mas Vnr Type Foundation Bsmt Exposure BsmtFin Type 1  \\\n",
       "0      Plywood        Stone     CBlock            Gd            BLQ   \n",
       "1      VinylSd         None     CBlock            No            Rec   \n",
       "2      Wd Sdng      BrkFace     CBlock            No            ALQ   \n",
       "3      BrkFace         None     CBlock            No            ALQ   \n",
       "4      VinylSd         None      PConc            No            GLQ   \n",
       "\n",
       "  BsmtFin Type 2 Heating Electrical Functional Garage Type Garage Finish  \\\n",
       "0            Unf    GasA      SBrkr        Typ      Attchd           Fin   \n",
       "1            LwQ    GasA      SBrkr        Typ      Attchd           Unf   \n",
       "2            Unf    GasA      SBrkr        Typ      Attchd           Unf   \n",
       "3            Unf    GasA      SBrkr        Typ      Attchd           Fin   \n",
       "4            Unf    GasA      SBrkr        Typ      Attchd           Fin   \n",
       "\n",
       "  Paved Drive  Pool QC    Fence Misc Feature Sale Type Sale Condition  \n",
       "0           P  Missing  Missing      Missing       WD          Normal  \n",
       "1           Y  Missing    MnPrv      Missing       WD          Normal  \n",
       "2           Y  Missing  Missing         Gar2       WD          Normal  \n",
       "3           Y  Missing  Missing      Missing       WD          Normal  \n",
       "4           Y  Missing    MnPrv      Missing       WD          Normal  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_transformed.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data inconsistencies: Checking automatic fill for missing values in Garage Cars and Garage Area\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order</th>\n",
       "      <th>PID</th>\n",
       "      <th>Lot Frontage</th>\n",
       "      <th>Lot Area</th>\n",
       "      <th>Overall Qual</th>\n",
       "      <th>Overall Cond</th>\n",
       "      <th>Year Built</th>\n",
       "      <th>Year Remod/Add</th>\n",
       "      <th>Mas Vnr Area_NA</th>\n",
       "      <th>Mas Vnr Area</th>\n",
       "      <th>Exter Qual</th>\n",
       "      <th>Exter Cond</th>\n",
       "      <th>Bsmt Qual</th>\n",
       "      <th>Bsmt Cond</th>\n",
       "      <th>BsmtFin SF 1_NA</th>\n",
       "      <th>BsmtFin SF 1</th>\n",
       "      <th>BsmtFin SF 2_NA</th>\n",
       "      <th>BsmtFin SF 2</th>\n",
       "      <th>Bsmt Unf SF_NA</th>\n",
       "      <th>Bsmt Unf SF</th>\n",
       "      <th>Total Bsmt SF_NA</th>\n",
       "      <th>Total Bsmt SF</th>\n",
       "      <th>Heating QC</th>\n",
       "      <th>Central Air</th>\n",
       "      <th>1st Flr SF</th>\n",
       "      <th>2nd Flr SF</th>\n",
       "      <th>Low Qual Fin SF</th>\n",
       "      <th>Gr Liv Area</th>\n",
       "      <th>Bsmt Full Bath_NA</th>\n",
       "      <th>Bsmt Full Bath</th>\n",
       "      <th>Bsmt Half Bath_NA</th>\n",
       "      <th>Bsmt Half Bath</th>\n",
       "      <th>Full Bath</th>\n",
       "      <th>Half Bath</th>\n",
       "      <th>Bedroom AbvGr</th>\n",
       "      <th>Kitchen AbvGr</th>\n",
       "      <th>Kitchen Qual</th>\n",
       "      <th>TotRms AbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>Fireplace Qu</th>\n",
       "      <th>Garage Yr Blt</th>\n",
       "      <th>Garage Cars_NA</th>\n",
       "      <th>Garage Cars</th>\n",
       "      <th>Garage Area_NA</th>\n",
       "      <th>Garage Area</th>\n",
       "      <th>Garage Qual</th>\n",
       "      <th>Garage Cond</th>\n",
       "      <th>Wood Deck SF</th>\n",
       "      <th>Open Porch SF</th>\n",
       "      <th>Enclosed Porch</th>\n",
       "      <th>3Ssn Porch</th>\n",
       "      <th>Screen Porch</th>\n",
       "      <th>Pool Area</th>\n",
       "      <th>Misc Val</th>\n",
       "      <th>Mo Sold</th>\n",
       "      <th>Yr Sold</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MS SubClass</th>\n",
       "      <th>MS Zoning</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>Lot Shape</th>\n",
       "      <th>Land Contour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>Lot Config</th>\n",
       "      <th>Land Slope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition 1</th>\n",
       "      <th>Condition 2</th>\n",
       "      <th>Bldg Type</th>\n",
       "      <th>House Style</th>\n",
       "      <th>Roof Style</th>\n",
       "      <th>Roof Matl</th>\n",
       "      <th>Exterior 1st</th>\n",
       "      <th>Exterior 2nd</th>\n",
       "      <th>Mas Vnr Type</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>Bsmt Exposure</th>\n",
       "      <th>BsmtFin Type 1</th>\n",
       "      <th>BsmtFin Type 2</th>\n",
       "      <th>Heating</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>Functional</th>\n",
       "      <th>Garage Type</th>\n",
       "      <th>Garage Finish</th>\n",
       "      <th>Paved Drive</th>\n",
       "      <th>Pool QC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>Misc Feature</th>\n",
       "      <th>Sale Type</th>\n",
       "      <th>Sale Condition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2236</th>\n",
       "      <td>2237</td>\n",
       "      <td>910201180</td>\n",
       "      <td>50.0</td>\n",
       "      <td>9060</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1923</td>\n",
       "      <td>1999</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>311.0</td>\n",
       "      <td>0</td>\n",
       "      <td>859.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>942</td>\n",
       "      <td>886</td>\n",
       "      <td>0</td>\n",
       "      <td>1828</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>174</td>\n",
       "      <td>0</td>\n",
       "      <td>212</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2007</td>\n",
       "      <td>150909</td>\n",
       "      <td>C70</td>\n",
       "      <td>RM</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>IDOTRR</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>Wd Sdng</td>\n",
       "      <td>Plywood</td>\n",
       "      <td>None</td>\n",
       "      <td>BrkTil</td>\n",
       "      <td>No</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Detchd</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>MnPrv</td>\n",
       "      <td>Missing</td>\n",
       "      <td>WD</td>\n",
       "      <td>Alloca</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 Garage cars and no garage, does not make much sense. I will change Garage Cars value to 0\n",
      "      Garage Cars  Order\n",
      "2236          0.0   2237\n"
     ]
    }
   ],
   "source": [
    "#MANUAL_INPUT\n",
    "# Check Garage Cars and Garage Area - mode imputation seems to be invalid here\n",
    "print('Data inconsistencies: Checking automatic fill for missing values in Garage Cars and Garage Area')\n",
    "display(HTML(data_transformed[(data_transformed['Garage Cars_NA']==1) | (data_transformed['Garage Area_NA']==1)].to_html()))\n",
    "print('2 Garage cars and no garage, does not make much sense. I will change Garage Cars value to 0')\n",
    "data_transformed.loc[data_transformed['Garage Cars_NA'] == 1, 'Garage Cars'] = 0\n",
    "print(data_transformed[[\"Garage Cars\",\"Order\"]][data_transformed['Garage Cars_NA']==1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data inconsistencies: checking if there are any sale records with date of refubrishment later than date of sale\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order</th>\n",
       "      <th>PID</th>\n",
       "      <th>Lot Frontage</th>\n",
       "      <th>Lot Area</th>\n",
       "      <th>Overall Qual</th>\n",
       "      <th>Overall Cond</th>\n",
       "      <th>Year Built</th>\n",
       "      <th>Year Remod/Add</th>\n",
       "      <th>Mas Vnr Area_NA</th>\n",
       "      <th>Mas Vnr Area</th>\n",
       "      <th>Exter Qual</th>\n",
       "      <th>Exter Cond</th>\n",
       "      <th>Bsmt Qual</th>\n",
       "      <th>Bsmt Cond</th>\n",
       "      <th>BsmtFin SF 1_NA</th>\n",
       "      <th>BsmtFin SF 1</th>\n",
       "      <th>BsmtFin SF 2_NA</th>\n",
       "      <th>BsmtFin SF 2</th>\n",
       "      <th>Bsmt Unf SF_NA</th>\n",
       "      <th>Bsmt Unf SF</th>\n",
       "      <th>Total Bsmt SF_NA</th>\n",
       "      <th>Total Bsmt SF</th>\n",
       "      <th>Heating QC</th>\n",
       "      <th>Central Air</th>\n",
       "      <th>1st Flr SF</th>\n",
       "      <th>2nd Flr SF</th>\n",
       "      <th>Low Qual Fin SF</th>\n",
       "      <th>Gr Liv Area</th>\n",
       "      <th>Bsmt Full Bath_NA</th>\n",
       "      <th>Bsmt Full Bath</th>\n",
       "      <th>Bsmt Half Bath_NA</th>\n",
       "      <th>Bsmt Half Bath</th>\n",
       "      <th>Full Bath</th>\n",
       "      <th>Half Bath</th>\n",
       "      <th>Bedroom AbvGr</th>\n",
       "      <th>Kitchen AbvGr</th>\n",
       "      <th>Kitchen Qual</th>\n",
       "      <th>TotRms AbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>Fireplace Qu</th>\n",
       "      <th>Garage Yr Blt</th>\n",
       "      <th>Garage Cars_NA</th>\n",
       "      <th>Garage Cars</th>\n",
       "      <th>Garage Area_NA</th>\n",
       "      <th>Garage Area</th>\n",
       "      <th>Garage Qual</th>\n",
       "      <th>Garage Cond</th>\n",
       "      <th>Wood Deck SF</th>\n",
       "      <th>Open Porch SF</th>\n",
       "      <th>Enclosed Porch</th>\n",
       "      <th>3Ssn Porch</th>\n",
       "      <th>Screen Porch</th>\n",
       "      <th>Pool Area</th>\n",
       "      <th>Misc Val</th>\n",
       "      <th>Mo Sold</th>\n",
       "      <th>Yr Sold</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MS SubClass</th>\n",
       "      <th>MS Zoning</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>Lot Shape</th>\n",
       "      <th>Land Contour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>Lot Config</th>\n",
       "      <th>Land Slope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition 1</th>\n",
       "      <th>Condition 2</th>\n",
       "      <th>Bldg Type</th>\n",
       "      <th>House Style</th>\n",
       "      <th>Roof Style</th>\n",
       "      <th>Roof Matl</th>\n",
       "      <th>Exterior 1st</th>\n",
       "      <th>Exterior 2nd</th>\n",
       "      <th>Mas Vnr Type</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>Bsmt Exposure</th>\n",
       "      <th>BsmtFin Type 1</th>\n",
       "      <th>BsmtFin Type 2</th>\n",
       "      <th>Heating</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>Functional</th>\n",
       "      <th>Garage Type</th>\n",
       "      <th>Garage Finish</th>\n",
       "      <th>Paved Drive</th>\n",
       "      <th>Pool QC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>Misc Feature</th>\n",
       "      <th>Sale Type</th>\n",
       "      <th>Sale Condition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1702</th>\n",
       "      <td>1703</td>\n",
       "      <td>528120010</td>\n",
       "      <td>134.0</td>\n",
       "      <td>16659</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>2008</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1582.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1582.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1582</td>\n",
       "      <td>570</td>\n",
       "      <td>0</td>\n",
       "      <td>2152</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>728.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>368</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>2007</td>\n",
       "      <td>260116</td>\n",
       "      <td>C60</td>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NridgHt</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>None</td>\n",
       "      <td>PConc</td>\n",
       "      <td>No</td>\n",
       "      <td>Unf</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Detchd</td>\n",
       "      <td>Unf</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>New</td>\n",
       "      <td>Partial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2180</th>\n",
       "      <td>2181</td>\n",
       "      <td>908154195</td>\n",
       "      <td>128.0</td>\n",
       "      <td>39290</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>2009</td>\n",
       "      <td>0</td>\n",
       "      <td>1224.0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4010.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1085.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5095.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>5095</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5095</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1154.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>546</td>\n",
       "      <td>484</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17000</td>\n",
       "      <td>10</td>\n",
       "      <td>2007</td>\n",
       "      <td>183850</td>\n",
       "      <td>C20</td>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Bnk</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>Hip</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>CemntBd</td>\n",
       "      <td>CmentBd</td>\n",
       "      <td>Stone</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>Fin</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Elev</td>\n",
       "      <td>New</td>\n",
       "      <td>Partial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2181</th>\n",
       "      <td>2182</td>\n",
       "      <td>908154205</td>\n",
       "      <td>130.0</td>\n",
       "      <td>40094</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>2008</td>\n",
       "      <td>0</td>\n",
       "      <td>762.0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2260.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>878.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3138.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>3138</td>\n",
       "      <td>1538</td>\n",
       "      <td>0</td>\n",
       "      <td>4676</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>884.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>208</td>\n",
       "      <td>406</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>2007</td>\n",
       "      <td>184750</td>\n",
       "      <td>C60</td>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Bnk</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>PosN</td>\n",
       "      <td>PosN</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Hip</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>CemntBd</td>\n",
       "      <td>CmentBd</td>\n",
       "      <td>Stone</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>BuiltIn</td>\n",
       "      <td>Fin</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>New</td>\n",
       "      <td>Partial</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data inconsistencies: checking if there are any sale records with date of construction later than date of sale\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order</th>\n",
       "      <th>PID</th>\n",
       "      <th>Lot Frontage</th>\n",
       "      <th>Lot Area</th>\n",
       "      <th>Overall Qual</th>\n",
       "      <th>Overall Cond</th>\n",
       "      <th>Year Built</th>\n",
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       "      <th>Mas Vnr Area_NA</th>\n",
       "      <th>Mas Vnr Area</th>\n",
       "      <th>Exter Qual</th>\n",
       "      <th>Exter Cond</th>\n",
       "      <th>Bsmt Qual</th>\n",
       "      <th>Bsmt Cond</th>\n",
       "      <th>BsmtFin SF 1_NA</th>\n",
       "      <th>BsmtFin SF 1</th>\n",
       "      <th>BsmtFin SF 2_NA</th>\n",
       "      <th>BsmtFin SF 2</th>\n",
       "      <th>Bsmt Unf SF_NA</th>\n",
       "      <th>Bsmt Unf SF</th>\n",
       "      <th>Total Bsmt SF_NA</th>\n",
       "      <th>Total Bsmt SF</th>\n",
       "      <th>Heating QC</th>\n",
       "      <th>Central Air</th>\n",
       "      <th>1st Flr SF</th>\n",
       "      <th>2nd Flr SF</th>\n",
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       "      <th>Bsmt Full Bath_NA</th>\n",
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       "      <th>Bsmt Half Bath_NA</th>\n",
       "      <th>Bsmt Half Bath</th>\n",
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       "      <th>Fireplaces</th>\n",
       "      <th>Fireplace Qu</th>\n",
       "      <th>Garage Yr Blt</th>\n",
       "      <th>Garage Cars_NA</th>\n",
       "      <th>Garage Cars</th>\n",
       "      <th>Garage Area_NA</th>\n",
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       "      <th>Garage Qual</th>\n",
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       "      <th>Wood Deck SF</th>\n",
       "      <th>Open Porch SF</th>\n",
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       "      <th>3Ssn Porch</th>\n",
       "      <th>Screen Porch</th>\n",
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       "      <th>Misc Val</th>\n",
       "      <th>Mo Sold</th>\n",
       "      <th>Yr Sold</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MS SubClass</th>\n",
       "      <th>MS Zoning</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>Lot Shape</th>\n",
       "      <th>Land Contour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>Lot Config</th>\n",
       "      <th>Land Slope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition 1</th>\n",
       "      <th>Condition 2</th>\n",
       "      <th>Bldg Type</th>\n",
       "      <th>House Style</th>\n",
       "      <th>Roof Style</th>\n",
       "      <th>Roof Matl</th>\n",
       "      <th>Exterior 1st</th>\n",
       "      <th>Exterior 2nd</th>\n",
       "      <th>Mas Vnr Type</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>Bsmt Exposure</th>\n",
       "      <th>BsmtFin Type 1</th>\n",
       "      <th>BsmtFin Type 2</th>\n",
       "      <th>Heating</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>Functional</th>\n",
       "      <th>Garage Type</th>\n",
       "      <th>Garage Finish</th>\n",
       "      <th>Paved Drive</th>\n",
       "      <th>Pool QC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>Misc Feature</th>\n",
       "      <th>Sale Type</th>\n",
       "      <th>Sale Condition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2180</th>\n",
       "      <td>2181</td>\n",
       "      <td>908154195</td>\n",
       "      <td>128.0</td>\n",
       "      <td>39290</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>2009</td>\n",
       "      <td>0</td>\n",
       "      <td>1224.0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4010.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1085.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5095.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>5095</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5095</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1154.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>546</td>\n",
       "      <td>484</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17000</td>\n",
       "      <td>10</td>\n",
       "      <td>2007</td>\n",
       "      <td>183850</td>\n",
       "      <td>C20</td>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Bnk</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>Hip</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>CemntBd</td>\n",
       "      <td>CmentBd</td>\n",
       "      <td>Stone</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>Fin</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Elev</td>\n",
       "      <td>New</td>\n",
       "      <td>Partial</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
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     "text": [
      "Data inconsistencies: checking if there are any sale records with date of construction later than date of refubrishment\n"
     ]
    },
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order</th>\n",
       "      <th>PID</th>\n",
       "      <th>Lot Frontage</th>\n",
       "      <th>Lot Area</th>\n",
       "      <th>Overall Qual</th>\n",
       "      <th>Overall Cond</th>\n",
       "      <th>Year Built</th>\n",
       "      <th>Year Remod/Add</th>\n",
       "      <th>Mas Vnr Area_NA</th>\n",
       "      <th>Mas Vnr Area</th>\n",
       "      <th>Exter Qual</th>\n",
       "      <th>Exter Cond</th>\n",
       "      <th>Bsmt Qual</th>\n",
       "      <th>Bsmt Cond</th>\n",
       "      <th>BsmtFin SF 1_NA</th>\n",
       "      <th>BsmtFin SF 1</th>\n",
       "      <th>BsmtFin SF 2_NA</th>\n",
       "      <th>BsmtFin SF 2</th>\n",
       "      <th>Bsmt Unf SF_NA</th>\n",
       "      <th>Bsmt Unf SF</th>\n",
       "      <th>Total Bsmt SF_NA</th>\n",
       "      <th>Total Bsmt SF</th>\n",
       "      <th>Heating QC</th>\n",
       "      <th>Central Air</th>\n",
       "      <th>1st Flr SF</th>\n",
       "      <th>2nd Flr SF</th>\n",
       "      <th>Low Qual Fin SF</th>\n",
       "      <th>Gr Liv Area</th>\n",
       "      <th>Bsmt Full Bath_NA</th>\n",
       "      <th>Bsmt Full Bath</th>\n",
       "      <th>Bsmt Half Bath_NA</th>\n",
       "      <th>Bsmt Half Bath</th>\n",
       "      <th>Full Bath</th>\n",
       "      <th>Half Bath</th>\n",
       "      <th>Bedroom AbvGr</th>\n",
       "      <th>Kitchen AbvGr</th>\n",
       "      <th>Kitchen Qual</th>\n",
       "      <th>TotRms AbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>Fireplace Qu</th>\n",
       "      <th>Garage Yr Blt</th>\n",
       "      <th>Garage Cars_NA</th>\n",
       "      <th>Garage Cars</th>\n",
       "      <th>Garage Area_NA</th>\n",
       "      <th>Garage Area</th>\n",
       "      <th>Garage Qual</th>\n",
       "      <th>Garage Cond</th>\n",
       "      <th>Wood Deck SF</th>\n",
       "      <th>Open Porch SF</th>\n",
       "      <th>Enclosed Porch</th>\n",
       "      <th>3Ssn Porch</th>\n",
       "      <th>Screen Porch</th>\n",
       "      <th>Pool Area</th>\n",
       "      <th>Misc Val</th>\n",
       "      <th>Mo Sold</th>\n",
       "      <th>Yr Sold</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MS SubClass</th>\n",
       "      <th>MS Zoning</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>Lot Shape</th>\n",
       "      <th>Land Contour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>Lot Config</th>\n",
       "      <th>Land Slope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition 1</th>\n",
       "      <th>Condition 2</th>\n",
       "      <th>Bldg Type</th>\n",
       "      <th>House Style</th>\n",
       "      <th>Roof Style</th>\n",
       "      <th>Roof Matl</th>\n",
       "      <th>Exterior 1st</th>\n",
       "      <th>Exterior 2nd</th>\n",
       "      <th>Mas Vnr Type</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>Bsmt Exposure</th>\n",
       "      <th>BsmtFin Type 1</th>\n",
       "      <th>BsmtFin Type 2</th>\n",
       "      <th>Heating</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>Functional</th>\n",
       "      <th>Garage Type</th>\n",
       "      <th>Garage Finish</th>\n",
       "      <th>Paved Drive</th>\n",
       "      <th>Pool QC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>Misc Feature</th>\n",
       "      <th>Sale Type</th>\n",
       "      <th>Sale Condition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>850</th>\n",
       "      <td>851</td>\n",
       "      <td>907194160</td>\n",
       "      <td>65.0</td>\n",
       "      <td>10739</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2002</td>\n",
       "      <td>2001</td>\n",
       "      <td>0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1259.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1431.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1444</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1444</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>577.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>144</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2009</td>\n",
       "      <td>203000</td>\n",
       "      <td>C20</td>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>CollgCr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>PConc</td>\n",
       "      <td>No</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>RFn</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All 4 (obs 2810 appears in both cases) observations contain data \"from the future\" (past point of sale), so we will delete them\n"
     ]
    }
   ],
   "source": [
    "#MANUAL_INPUT\n",
    "print('Data inconsistencies: checking if there are any sale records with date of refubrishment later than date of sale')\n",
    "display(HTML(data_transformed[data_transformed[\"Yr Sold\"]<data_transformed[\"Year Remod/Add\"]].to_html()))\n",
    "\n",
    "print('Data inconsistencies: checking if there are any sale records with date of construction later than date of sale')\n",
    "display(HTML(data_transformed[data_transformed[\"Yr Sold\"]<data_transformed[\"Year Built\"]].to_html()))\n",
    "\n",
    "print('Data inconsistencies: checking if there are any sale records with date of construction later than date of refubrishment')\n",
    "display(HTML(data_transformed[data_transformed[\"Year Built\"]>data_transformed[\"Year Remod/Add\"]].to_html()))\n",
    "\n",
    "print('All 4 (obs 2810 appears in both cases) observations contain data \"from the future\" (past point of sale), so we will delete them')\n",
    "data_transformed = data_transformed.drop(data_transformed.index[[850,1702, 2180, 2181]])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.3 Features Generation - expert domain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th>Order</th>\n",
       "      <th>PID</th>\n",
       "      <th>Lot Frontage</th>\n",
       "      <th>Lot Area</th>\n",
       "      <th>Overall Qual</th>\n",
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       "      <th>BsmtFin SF 2_NA</th>\n",
       "      <th>BsmtFin SF 2</th>\n",
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       "      <th>Bsmt Full Bath_NA</th>\n",
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       "      <th>Bsmt Half Bath_NA</th>\n",
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       "      <th>Garage Cars</th>\n",
       "      <th>Garage Area_NA</th>\n",
       "      <th>Garage Area</th>\n",
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       "      <th>Wood Deck SF</th>\n",
       "      <th>Open Porch SF</th>\n",
       "      <th>Enclosed Porch</th>\n",
       "      <th>3Ssn Porch</th>\n",
       "      <th>Screen Porch</th>\n",
       "      <th>Pool Area</th>\n",
       "      <th>Misc Val</th>\n",
       "      <th>Mo Sold</th>\n",
       "      <th>Yr Sold</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MS SubClass</th>\n",
       "      <th>MS Zoning</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>Lot Shape</th>\n",
       "      <th>Land Contour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>Lot Config</th>\n",
       "      <th>Land Slope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition 1</th>\n",
       "      <th>Condition 2</th>\n",
       "      <th>Bldg Type</th>\n",
       "      <th>House Style</th>\n",
       "      <th>Roof Style</th>\n",
       "      <th>Roof Matl</th>\n",
       "      <th>Exterior 1st</th>\n",
       "      <th>Exterior 2nd</th>\n",
       "      <th>Mas Vnr Type</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>Bsmt Exposure</th>\n",
       "      <th>BsmtFin Type 1</th>\n",
       "      <th>BsmtFin Type 2</th>\n",
       "      <th>Heating</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>Functional</th>\n",
       "      <th>Garage Type</th>\n",
       "      <th>Garage Finish</th>\n",
       "      <th>Paved Drive</th>\n",
       "      <th>Pool QC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>Misc Feature</th>\n",
       "      <th>Sale Type</th>\n",
       "      <th>Sale Condition</th>\n",
       "      <th>years_until_remod</th>\n",
       "      <th>years_remod_to_sale</th>\n",
       "      <th>years_built_to_sale</th>\n",
       "      <th>sin_month_sale</th>\n",
       "      <th>cos_month_sale</th>\n",
       "      <th>Bathroom_total</th>\n",
       "      <th>Floor_area</th>\n",
       "      <th>Floor_area_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
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       "      <td>2.926000e+03</td>\n",
       "      <td>2436.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
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       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2767.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2.926000e+03</td>\n",
       "      <td>2.926000e+03</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "      <td>2926.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C20</td>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>None</td>\n",
       "      <td>PConc</td>\n",
       "      <td>No</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>Unf</td>\n",
       "      <td>Y</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Missing</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1077</td>\n",
       "      <td>2269</td>\n",
       "      <td>2914</td>\n",
       "      <td>2728</td>\n",
       "      <td>1859</td>\n",
       "      <td>2631</td>\n",
       "      <td>2923</td>\n",
       "      <td>2137</td>\n",
       "      <td>2785</td>\n",
       "      <td>443</td>\n",
       "      <td>2519</td>\n",
       "      <td>2897</td>\n",
       "      <td>2421</td>\n",
       "      <td>1479</td>\n",
       "      <td>2319</td>\n",
       "      <td>2883</td>\n",
       "      <td>1024</td>\n",
       "      <td>1013</td>\n",
       "      <td>1751</td>\n",
       "      <td>1306</td>\n",
       "      <td>1904</td>\n",
       "      <td>856</td>\n",
       "      <td>2495</td>\n",
       "      <td>2881</td>\n",
       "      <td>2678</td>\n",
       "      <td>2724</td>\n",
       "      <td>1729</td>\n",
       "      <td>1230</td>\n",
       "      <td>2648</td>\n",
       "      <td>2913</td>\n",
       "      <td>2354</td>\n",
       "      <td>2821</td>\n",
       "      <td>2535</td>\n",
       "      <td>2412</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1465.139440</td>\n",
       "      <td>7.143299e+08</td>\n",
       "      <td>69.150657</td>\n",
       "      <td>10125.300410</td>\n",
       "      <td>6.091251</td>\n",
       "      <td>5.563910</td>\n",
       "      <td>1971.308954</td>\n",
       "      <td>1984.236159</td>\n",
       "      <td>0.007861</td>\n",
       "      <td>100.533151</td>\n",
       "      <td>3.397129</td>\n",
       "      <td>3.085441</td>\n",
       "      <td>3.477444</td>\n",
       "      <td>2.922761</td>\n",
       "      <td>0.000342</td>\n",
       "      <td>440.510253</td>\n",
       "      <td>0.000342</td>\n",
       "      <td>49.773411</td>\n",
       "      <td>0.000342</td>\n",
       "      <td>558.565619</td>\n",
       "      <td>0.000342</td>\n",
       "      <td>1048.849282</td>\n",
       "      <td>4.148325</td>\n",
       "      <td>0.933014</td>\n",
       "      <td>1157.294942</td>\n",
       "      <td>335.194122</td>\n",
       "      <td>4.683185</td>\n",
       "      <td>1497.172249</td>\n",
       "      <td>0.000684</td>\n",
       "      <td>0.430622</td>\n",
       "      <td>0.000684</td>\n",
       "      <td>0.060834</td>\n",
       "      <td>1.565619</td>\n",
       "      <td>0.379016</td>\n",
       "      <td>2.854409</td>\n",
       "      <td>1.044429</td>\n",
       "      <td>3.509911</td>\n",
       "      <td>6.438483</td>\n",
       "      <td>0.598770</td>\n",
       "      <td>1.768626</td>\n",
       "      <td>1978.092158</td>\n",
       "      <td>0.000342</td>\n",
       "      <td>1.765208</td>\n",
       "      <td>0.000342</td>\n",
       "      <td>472.161996</td>\n",
       "      <td>2.801435</td>\n",
       "      <td>2.809296</td>\n",
       "      <td>93.573137</td>\n",
       "      <td>47.154819</td>\n",
       "      <td>23.043062</td>\n",
       "      <td>2.596036</td>\n",
       "      <td>16.023923</td>\n",
       "      <td>2.246411</td>\n",
       "      <td>44.894395</td>\n",
       "      <td>6.214286</td>\n",
       "      <td>2007.790841</td>\n",
       "      <td>180758.967874</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.927204</td>\n",
       "      <td>23.554682</td>\n",
       "      <td>36.481887</td>\n",
       "      <td>1.369179e-02</td>\n",
       "      <td>-3.431520e-01</td>\n",
       "      <td>2.436090</td>\n",
       "      <td>3018.183527</td>\n",
       "      <td>0.366111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>846.245901</td>\n",
       "      <td>1.887268e+08</td>\n",
       "      <td>23.284419</td>\n",
       "      <td>7846.498446</td>\n",
       "      <td>1.407749</td>\n",
       "      <td>1.112101</td>\n",
       "      <td>30.238746</td>\n",
       "      <td>20.857988</td>\n",
       "      <td>0.088326</td>\n",
       "      <td>177.113919</td>\n",
       "      <td>0.578987</td>\n",
       "      <td>0.371939</td>\n",
       "      <td>0.903935</td>\n",
       "      <td>0.573054</td>\n",
       "      <td>0.018487</td>\n",
       "      <td>449.514812</td>\n",
       "      <td>0.018487</td>\n",
       "      <td>169.247708</td>\n",
       "      <td>0.018487</td>\n",
       "      <td>439.228367</td>\n",
       "      <td>0.018487</td>\n",
       "      <td>432.999090</td>\n",
       "      <td>0.958208</td>\n",
       "      <td>0.250040</td>\n",
       "      <td>383.486052</td>\n",
       "      <td>427.999583</td>\n",
       "      <td>46.341841</td>\n",
       "      <td>497.862804</td>\n",
       "      <td>0.026140</td>\n",
       "      <td>0.524744</td>\n",
       "      <td>0.026140</td>\n",
       "      <td>0.244720</td>\n",
       "      <td>0.552508</td>\n",
       "      <td>0.502531</td>\n",
       "      <td>0.828133</td>\n",
       "      <td>0.214216</td>\n",
       "      <td>0.662348</td>\n",
       "      <td>1.563737</td>\n",
       "      <td>0.647667</td>\n",
       "      <td>1.804492</td>\n",
       "      <td>25.524686</td>\n",
       "      <td>0.018487</td>\n",
       "      <td>0.760948</td>\n",
       "      <td>0.018487</td>\n",
       "      <td>214.769731</td>\n",
       "      <td>0.715072</td>\n",
       "      <td>0.711706</td>\n",
       "      <td>126.137992</td>\n",
       "      <td>66.452263</td>\n",
       "      <td>64.177251</td>\n",
       "      <td>25.158333</td>\n",
       "      <td>56.122584</td>\n",
       "      <td>35.621416</td>\n",
       "      <td>472.157989</td>\n",
       "      <td>2.714232</td>\n",
       "      <td>1.317080</td>\n",
       "      <td>79926.725966</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.044471</td>\n",
       "      <td>20.855914</td>\n",
       "      <td>30.284252</td>\n",
       "      <td>6.618290e-01</td>\n",
       "      <td>6.665907e-01</td>\n",
       "      <td>0.939094</td>\n",
       "      <td>926.247113</td>\n",
       "      <td>0.210772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.263011e+08</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1300.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1872.000000</td>\n",
       "      <td>1950.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>334.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>334.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1895.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>12789.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>334.000000</td>\n",
       "      <td>0.021766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>732.250000</td>\n",
       "      <td>5.284770e+08</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>7438.500000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1954.000000</td>\n",
       "      <td>1965.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>219.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>792.250000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>876.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1126.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1960.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>320.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2007.000000</td>\n",
       "      <td>129500.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>-5.000000e-01</td>\n",
       "      <td>-8.660254e-01</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2370.500000</td>\n",
       "      <td>0.252274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1464.500000</td>\n",
       "      <td>5.354532e+08</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>9429.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1973.000000</td>\n",
       "      <td>1993.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>370.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>464.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>989.500000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1082.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1441.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1979.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>480.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2008.000000</td>\n",
       "      <td>160000.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>1.224647e-16</td>\n",
       "      <td>-5.000000e-01</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2911.500000</td>\n",
       "      <td>0.319224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2198.750000</td>\n",
       "      <td>9.071801e+08</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>11524.500000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>162.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>734.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>801.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1299.750000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1383.000000</td>\n",
       "      <td>703.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1741.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2002.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>576.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>168.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2009.000000</td>\n",
       "      <td>213500.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>6.123234e-17</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3541.000000</td>\n",
       "      <td>0.396339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2930.000000</td>\n",
       "      <td>1.007100e+09</td>\n",
       "      <td>313.000000</td>\n",
       "      <td>215245.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1600.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5644.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1526.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2336.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6110.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4692.000000</td>\n",
       "      <td>2065.000000</td>\n",
       "      <td>1064.000000</td>\n",
       "      <td>5642.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2207.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1488.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1424.000000</td>\n",
       "      <td>742.000000</td>\n",
       "      <td>1012.000000</td>\n",
       "      <td>508.000000</td>\n",
       "      <td>576.000000</td>\n",
       "      <td>800.000000</td>\n",
       "      <td>15500.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>755000.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>136.000000</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>13170.000000</td>\n",
       "      <td>1.765625</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Order           PID  Lot Frontage       Lot Area  Overall Qual  \\\n",
       "count   2926.000000  2.926000e+03   2436.000000    2926.000000   2926.000000   \n",
       "unique          NaN           NaN           NaN            NaN           NaN   \n",
       "top             NaN           NaN           NaN            NaN           NaN   \n",
       "freq            NaN           NaN           NaN            NaN           NaN   \n",
       "mean    1465.139440  7.143299e+08     69.150657   10125.300410      6.091251   \n",
       "std      846.245901  1.887268e+08     23.284419    7846.498446      1.407749   \n",
       "min        1.000000  5.263011e+08     21.000000    1300.000000      1.000000   \n",
       "25%      732.250000  5.284770e+08     58.000000    7438.500000      5.000000   \n",
       "50%     1464.500000  5.354532e+08     68.000000    9429.000000      6.000000   \n",
       "75%     2198.750000  9.071801e+08     80.000000   11524.500000      7.000000   \n",
       "max     2930.000000  1.007100e+09    313.000000  215245.000000     10.000000   \n",
       "\n",
       "        Overall Cond   Year Built  Year Remod/Add  Mas Vnr Area_NA  \\\n",
       "count    2926.000000  2926.000000     2926.000000      2926.000000   \n",
       "unique           NaN          NaN             NaN              NaN   \n",
       "top              NaN          NaN             NaN              NaN   \n",
       "freq             NaN          NaN             NaN              NaN   \n",
       "mean        5.563910  1971.308954     1984.236159         0.007861   \n",
       "std         1.112101    30.238746       20.857988         0.088326   \n",
       "min         1.000000  1872.000000     1950.000000         0.000000   \n",
       "25%         5.000000  1954.000000     1965.000000         0.000000   \n",
       "50%         5.000000  1973.000000     1993.000000         0.000000   \n",
       "75%         6.000000  2000.000000     2004.000000         0.000000   \n",
       "max         9.000000  2010.000000     2010.000000         1.000000   \n",
       "\n",
       "        Mas Vnr Area   Exter Qual   Exter Cond    Bsmt Qual    Bsmt Cond  \\\n",
       "count    2926.000000  2926.000000  2926.000000  2926.000000  2926.000000   \n",
       "unique           NaN          NaN          NaN          NaN          NaN   \n",
       "top              NaN          NaN          NaN          NaN          NaN   \n",
       "freq             NaN          NaN          NaN          NaN          NaN   \n",
       "mean      100.533151     3.397129     3.085441     3.477444     2.922761   \n",
       "std       177.113919     0.578987     0.371939     0.903935     0.573054   \n",
       "min         0.000000     2.000000     1.000000     0.000000     0.000000   \n",
       "25%         0.000000     3.000000     3.000000     3.000000     3.000000   \n",
       "50%         0.000000     3.000000     3.000000     4.000000     3.000000   \n",
       "75%       162.000000     4.000000     3.000000     4.000000     3.000000   \n",
       "max      1600.000000     5.000000     5.000000     5.000000     5.000000   \n",
       "\n",
       "        BsmtFin SF 1_NA  BsmtFin SF 1  BsmtFin SF 2_NA  BsmtFin SF 2  \\\n",
       "count       2926.000000   2926.000000      2926.000000   2926.000000   \n",
       "unique              NaN           NaN              NaN           NaN   \n",
       "top                 NaN           NaN              NaN           NaN   \n",
       "freq                NaN           NaN              NaN           NaN   \n",
       "mean           0.000342    440.510253         0.000342     49.773411   \n",
       "std            0.018487    449.514812         0.018487    169.247708   \n",
       "min            0.000000      0.000000         0.000000      0.000000   \n",
       "25%            0.000000      0.000000         0.000000      0.000000   \n",
       "50%            0.000000    370.000000         0.000000      0.000000   \n",
       "75%            0.000000    734.000000         0.000000      0.000000   \n",
       "max            1.000000   5644.000000         1.000000   1526.000000   \n",
       "\n",
       "        Bsmt Unf SF_NA  Bsmt Unf SF  Total Bsmt SF_NA  Total Bsmt SF  \\\n",
       "count      2926.000000  2926.000000       2926.000000    2926.000000   \n",
       "unique             NaN          NaN               NaN            NaN   \n",
       "top                NaN          NaN               NaN            NaN   \n",
       "freq               NaN          NaN               NaN            NaN   \n",
       "mean          0.000342   558.565619          0.000342    1048.849282   \n",
       "std           0.018487   439.228367          0.018487     432.999090   \n",
       "min           0.000000     0.000000          0.000000       0.000000   \n",
       "25%           0.000000   219.000000          0.000000     792.250000   \n",
       "50%           0.000000   464.500000          0.000000     989.500000   \n",
       "75%           0.000000   801.000000          0.000000    1299.750000   \n",
       "max           1.000000  2336.000000          1.000000    6110.000000   \n",
       "\n",
       "         Heating QC  Central Air   1st Flr SF   2nd Flr SF  Low Qual Fin SF  \\\n",
       "count   2926.000000  2926.000000  2926.000000  2926.000000      2926.000000   \n",
       "unique          NaN          NaN          NaN          NaN              NaN   \n",
       "top             NaN          NaN          NaN          NaN              NaN   \n",
       "freq            NaN          NaN          NaN          NaN              NaN   \n",
       "mean       4.148325     0.933014  1157.294942   335.194122         4.683185   \n",
       "std        0.958208     0.250040   383.486052   427.999583        46.341841   \n",
       "min        1.000000     0.000000   334.000000     0.000000         0.000000   \n",
       "25%        3.000000     1.000000   876.000000     0.000000         0.000000   \n",
       "50%        5.000000     1.000000  1082.500000     0.000000         0.000000   \n",
       "75%        5.000000     1.000000  1383.000000   703.750000         0.000000   \n",
       "max        5.000000     1.000000  4692.000000  2065.000000      1064.000000   \n",
       "\n",
       "        Gr Liv Area  Bsmt Full Bath_NA  Bsmt Full Bath  Bsmt Half Bath_NA  \\\n",
       "count   2926.000000        2926.000000     2926.000000        2926.000000   \n",
       "unique          NaN                NaN             NaN                NaN   \n",
       "top             NaN                NaN             NaN                NaN   \n",
       "freq            NaN                NaN             NaN                NaN   \n",
       "mean    1497.172249           0.000684        0.430622           0.000684   \n",
       "std      497.862804           0.026140        0.524744           0.026140   \n",
       "min      334.000000           0.000000        0.000000           0.000000   \n",
       "25%     1126.000000           0.000000        0.000000           0.000000   \n",
       "50%     1441.500000           0.000000        0.000000           0.000000   \n",
       "75%     1741.500000           0.000000        1.000000           0.000000   \n",
       "max     5642.000000           1.000000        3.000000           1.000000   \n",
       "\n",
       "        Bsmt Half Bath    Full Bath    Half Bath  Bedroom AbvGr  \\\n",
       "count      2926.000000  2926.000000  2926.000000    2926.000000   \n",
       "unique             NaN          NaN          NaN            NaN   \n",
       "top                NaN          NaN          NaN            NaN   \n",
       "freq               NaN          NaN          NaN            NaN   \n",
       "mean          0.060834     1.565619     0.379016       2.854409   \n",
       "std           0.244720     0.552508     0.502531       0.828133   \n",
       "min           0.000000     0.000000     0.000000       0.000000   \n",
       "25%           0.000000     1.000000     0.000000       2.000000   \n",
       "50%           0.000000     2.000000     0.000000       3.000000   \n",
       "75%           0.000000     2.000000     1.000000       3.000000   \n",
       "max           2.000000     4.000000     2.000000       8.000000   \n",
       "\n",
       "        Kitchen AbvGr  Kitchen Qual  TotRms AbvGrd   Fireplaces  Fireplace Qu  \\\n",
       "count     2926.000000   2926.000000    2926.000000  2926.000000   2926.000000   \n",
       "unique            NaN           NaN            NaN          NaN           NaN   \n",
       "top               NaN           NaN            NaN          NaN           NaN   \n",
       "freq              NaN           NaN            NaN          NaN           NaN   \n",
       "mean         1.044429      3.509911       6.438483     0.598770      1.768626   \n",
       "std          0.214216      0.662348       1.563737     0.647667      1.804492   \n",
       "min          0.000000      1.000000       2.000000     0.000000      0.000000   \n",
       "25%          1.000000      3.000000       5.000000     0.000000      0.000000   \n",
       "50%          1.000000      3.000000       6.000000     1.000000      1.000000   \n",
       "75%          1.000000      4.000000       7.000000     1.000000      4.000000   \n",
       "max          3.000000      5.000000      14.000000     4.000000      5.000000   \n",
       "\n",
       "        Garage Yr Blt  Garage Cars_NA  Garage Cars  Garage Area_NA  \\\n",
       "count     2767.000000     2926.000000  2926.000000     2926.000000   \n",
       "unique            NaN             NaN          NaN             NaN   \n",
       "top               NaN             NaN          NaN             NaN   \n",
       "freq              NaN             NaN          NaN             NaN   \n",
       "mean      1978.092158        0.000342     1.765208        0.000342   \n",
       "std         25.524686        0.018487     0.760948        0.018487   \n",
       "min       1895.000000        0.000000     0.000000        0.000000   \n",
       "25%       1960.000000        0.000000     1.000000        0.000000   \n",
       "50%       1979.000000        0.000000     2.000000        0.000000   \n",
       "75%       2002.000000        0.000000     2.000000        0.000000   \n",
       "max       2207.000000        1.000000     5.000000        1.000000   \n",
       "\n",
       "        Garage Area  Garage Qual  Garage Cond  Wood Deck SF  Open Porch SF  \\\n",
       "count   2926.000000  2926.000000  2926.000000   2926.000000    2926.000000   \n",
       "unique          NaN          NaN          NaN           NaN            NaN   \n",
       "top             NaN          NaN          NaN           NaN            NaN   \n",
       "freq            NaN          NaN          NaN           NaN            NaN   \n",
       "mean     472.161996     2.801435     2.809296     93.573137      47.154819   \n",
       "std      214.769731     0.715072     0.711706    126.137992      66.452263   \n",
       "min        0.000000     0.000000     0.000000      0.000000       0.000000   \n",
       "25%      320.000000     3.000000     3.000000      0.000000       0.000000   \n",
       "50%      480.000000     3.000000     3.000000      0.000000      27.000000   \n",
       "75%      576.000000     3.000000     3.000000    168.000000      70.000000   \n",
       "max     1488.000000     5.000000     5.000000   1424.000000     742.000000   \n",
       "\n",
       "        Enclosed Porch   3Ssn Porch  Screen Porch    Pool Area      Misc Val  \\\n",
       "count      2926.000000  2926.000000   2926.000000  2926.000000   2926.000000   \n",
       "unique             NaN          NaN           NaN          NaN           NaN   \n",
       "top                NaN          NaN           NaN          NaN           NaN   \n",
       "freq               NaN          NaN           NaN          NaN           NaN   \n",
       "mean         23.043062     2.596036     16.023923     2.246411     44.894395   \n",
       "std          64.177251    25.158333     56.122584    35.621416    472.157989   \n",
       "min           0.000000     0.000000      0.000000     0.000000      0.000000   \n",
       "25%           0.000000     0.000000      0.000000     0.000000      0.000000   \n",
       "50%           0.000000     0.000000      0.000000     0.000000      0.000000   \n",
       "75%           0.000000     0.000000      0.000000     0.000000      0.000000   \n",
       "max        1012.000000   508.000000    576.000000   800.000000  15500.000000   \n",
       "\n",
       "            Mo Sold      Yr Sold      SalePrice MS SubClass MS Zoning Street  \\\n",
       "count   2926.000000  2926.000000    2926.000000        2926      2926   2926   \n",
       "unique          NaN          NaN            NaN          16         7      2   \n",
       "top             NaN          NaN            NaN         C20        RL   Pave   \n",
       "freq            NaN          NaN            NaN        1077      2269   2914   \n",
       "mean       6.214286  2007.790841  180758.967874         NaN       NaN    NaN   \n",
       "std        2.714232     1.317080   79926.725966         NaN       NaN    NaN   \n",
       "min        1.000000  2006.000000   12789.000000         NaN       NaN    NaN   \n",
       "25%        4.000000  2007.000000  129500.000000         NaN       NaN    NaN   \n",
       "50%        6.000000  2008.000000  160000.000000         NaN       NaN    NaN   \n",
       "75%        8.000000  2009.000000  213500.000000         NaN       NaN    NaN   \n",
       "max       12.000000  2010.000000  755000.000000         NaN       NaN    NaN   \n",
       "\n",
       "          Alley Lot Shape Land Contour Utilities Lot Config Land Slope  \\\n",
       "count      2926      2926         2926      2926       2926       2926   \n",
       "unique        3         4            4         3          5          3   \n",
       "top     Missing       Reg          Lvl    AllPub     Inside        Gtl   \n",
       "freq       2728      1859         2631      2923       2137       2785   \n",
       "mean        NaN       NaN          NaN       NaN        NaN        NaN   \n",
       "std         NaN       NaN          NaN       NaN        NaN        NaN   \n",
       "min         NaN       NaN          NaN       NaN        NaN        NaN   \n",
       "25%         NaN       NaN          NaN       NaN        NaN        NaN   \n",
       "50%         NaN       NaN          NaN       NaN        NaN        NaN   \n",
       "75%         NaN       NaN          NaN       NaN        NaN        NaN   \n",
       "max         NaN       NaN          NaN       NaN        NaN        NaN   \n",
       "\n",
       "       Neighborhood Condition 1 Condition 2 Bldg Type House Style Roof Style  \\\n",
       "count          2926        2926        2926      2926        2926       2926   \n",
       "unique           28           9           8         5           8          6   \n",
       "top           NAmes        Norm        Norm      1Fam      1Story      Gable   \n",
       "freq            443        2519        2897      2421        1479       2319   \n",
       "mean            NaN         NaN         NaN       NaN         NaN        NaN   \n",
       "std             NaN         NaN         NaN       NaN         NaN        NaN   \n",
       "min             NaN         NaN         NaN       NaN         NaN        NaN   \n",
       "25%             NaN         NaN         NaN       NaN         NaN        NaN   \n",
       "50%             NaN         NaN         NaN       NaN         NaN        NaN   \n",
       "75%             NaN         NaN         NaN       NaN         NaN        NaN   \n",
       "max             NaN         NaN         NaN       NaN         NaN        NaN   \n",
       "\n",
       "       Roof Matl Exterior 1st Exterior 2nd Mas Vnr Type Foundation  \\\n",
       "count       2926         2926         2926         2926       2926   \n",
       "unique         8           16           17            6          6   \n",
       "top      CompShg      VinylSd      VinylSd         None      PConc   \n",
       "freq        2883         1024         1013         1751       1306   \n",
       "mean         NaN          NaN          NaN          NaN        NaN   \n",
       "std          NaN          NaN          NaN          NaN        NaN   \n",
       "min          NaN          NaN          NaN          NaN        NaN   \n",
       "25%          NaN          NaN          NaN          NaN        NaN   \n",
       "50%          NaN          NaN          NaN          NaN        NaN   \n",
       "75%          NaN          NaN          NaN          NaN        NaN   \n",
       "max          NaN          NaN          NaN          NaN        NaN   \n",
       "\n",
       "       Bsmt Exposure BsmtFin Type 1 BsmtFin Type 2 Heating Electrical  \\\n",
       "count           2926           2926           2926    2926       2926   \n",
       "unique             5              7              7       6          6   \n",
       "top               No            GLQ            Unf    GasA      SBrkr   \n",
       "freq            1904            856           2495    2881       2678   \n",
       "mean             NaN            NaN            NaN     NaN        NaN   \n",
       "std              NaN            NaN            NaN     NaN        NaN   \n",
       "min              NaN            NaN            NaN     NaN        NaN   \n",
       "25%              NaN            NaN            NaN     NaN        NaN   \n",
       "50%              NaN            NaN            NaN     NaN        NaN   \n",
       "75%              NaN            NaN            NaN     NaN        NaN   \n",
       "max              NaN            NaN            NaN     NaN        NaN   \n",
       "\n",
       "       Functional Garage Type Garage Finish Paved Drive  Pool QC    Fence  \\\n",
       "count        2926        2926          2926        2926     2926     2926   \n",
       "unique          8           7             4           3        5        5   \n",
       "top           Typ      Attchd           Unf           Y  Missing  Missing   \n",
       "freq         2724        1729          1230        2648     2913     2354   \n",
       "mean          NaN         NaN           NaN         NaN      NaN      NaN   \n",
       "std           NaN         NaN           NaN         NaN      NaN      NaN   \n",
       "min           NaN         NaN           NaN         NaN      NaN      NaN   \n",
       "25%           NaN         NaN           NaN         NaN      NaN      NaN   \n",
       "50%           NaN         NaN           NaN         NaN      NaN      NaN   \n",
       "75%           NaN         NaN           NaN         NaN      NaN      NaN   \n",
       "max           NaN         NaN           NaN         NaN      NaN      NaN   \n",
       "\n",
       "       Misc Feature Sale Type Sale Condition  years_until_remod  \\\n",
       "count          2926      2926           2926        2926.000000   \n",
       "unique            5        10              6                NaN   \n",
       "top         Missing       WD          Normal                NaN   \n",
       "freq           2821      2535           2412                NaN   \n",
       "mean            NaN       NaN            NaN          12.927204   \n",
       "std             NaN       NaN            NaN          24.044471   \n",
       "min             NaN       NaN            NaN           0.000000   \n",
       "25%             NaN       NaN            NaN           0.000000   \n",
       "50%             NaN       NaN            NaN           0.000000   \n",
       "75%             NaN       NaN            NaN          18.000000   \n",
       "max             NaN       NaN            NaN         127.000000   \n",
       "\n",
       "        years_remod_to_sale  years_built_to_sale  sin_month_sale  \\\n",
       "count           2926.000000          2926.000000    2.926000e+03   \n",
       "unique                  NaN                  NaN             NaN   \n",
       "top                     NaN                  NaN             NaN   \n",
       "freq                    NaN                  NaN             NaN   \n",
       "mean              23.554682            36.481887    1.369179e-02   \n",
       "std               20.855914            30.284252    6.618290e-01   \n",
       "min                0.000000             0.000000   -1.000000e+00   \n",
       "25%                4.000000             7.000000   -5.000000e-01   \n",
       "50%               15.000000            34.000000    1.224647e-16   \n",
       "75%               43.000000            54.000000    5.000000e-01   \n",
       "max               60.000000           136.000000    1.000000e+00   \n",
       "\n",
       "        cos_month_sale  Bathroom_total    Floor_area  Floor_area_ratio  \n",
       "count     2.926000e+03     2926.000000   2926.000000       2926.000000  \n",
       "unique             NaN             NaN           NaN               NaN  \n",
       "top                NaN             NaN           NaN               NaN  \n",
       "freq               NaN             NaN           NaN               NaN  \n",
       "mean     -3.431520e-01        2.436090   3018.183527          0.366111  \n",
       "std       6.665907e-01        0.939094    926.247113          0.210772  \n",
       "min      -1.000000e+00        1.000000    334.000000          0.021766  \n",
       "25%      -8.660254e-01        2.000000   2370.500000          0.252274  \n",
       "50%      -5.000000e-01        2.000000   2911.500000          0.319224  \n",
       "75%       6.123234e-17        3.000000   3541.000000          0.396339  \n",
       "max       1.000000e+00        8.000000  13170.000000          1.765625  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#MANUAL_INPUT\n",
    "#Variables that we can compute without risk of information leak\n",
    "data_transformed[\"years_until_remod\"] = data_transformed[\"Year Remod/Add\"] - data_transformed[\"Year Built\"]\n",
    "data_transformed[\"years_remod_to_sale\"]  = data_transformed[\"Yr Sold\"] - data_transformed[\"Year Remod/Add\"]\n",
    "data_transformed[\"years_built_to_sale\"]  = data_transformed[\"Yr Sold\"] - data_transformed[\"Year Built\"]\n",
    "\n",
    "data_transformed[\"sin_month_sale\"] = data_transformed[\"Mo Sold\"].apply(lambda x: math.sin(2*np.pi*float(x)/12)) # seasonality \n",
    "data_transformed[\"cos_month_sale\"] = data_transformed[\"Mo Sold\"].apply(lambda x: math.cos(2*np.pi*float(x)/12)) # seasonality \n",
    "\n",
    "data_transformed[\"Bathroom_total\"] = data_transformed[\"Bsmt Full Bath\"].fillna(0) + data_transformed[\"Bsmt Half Bath\"].fillna(0) + data_transformed[\"Full Bath\"].fillna(0) + data_transformed[\"Half Bath\"].fillna(0)\n",
    "data_transformed[\"Floor_area\"] = data_transformed[\"Gr Liv Area\"] + data_transformed[\"Garage Area\"] + data_transformed[\"Total Bsmt SF\"]\n",
    "data_transformed[\"Floor_area_ratio\"] = data_transformed[\"Floor_area\"] / data_transformed[\"Lot Area\"]\n",
    "\n",
    "# Variable list clean-up\n",
    "for var in [\"years_until_remod\", \"years_remod_to_sale\", \"years_built_to_sale\", \"Floor_area\", \n",
    "            \"Lot Area\", \"Floor_area_ratio\"]:\n",
    "    try:\n",
    "        continuous.append(var)\n",
    "    except:\n",
    "        print(var,'is already added to the continuous list.')\n",
    "           \n",
    "for var in [\"cos_month_sale\", \"sin_month_sale\", \"Bathroom_total\"]:\n",
    "    try:\n",
    "        discrete.append(var)\n",
    "    except:\n",
    "        print(var,'is already added to the discrete list.')\n",
    "\n",
    "for var in [\"Year Remod/Add\", \"Year Built\", \"Garage Yr Blt\"]:        \n",
    "    try:\n",
    "        continuous.remove(var)\n",
    "    except:\n",
    "        print(var,'is not in continuous list.')\n",
    "        \n",
    "for var in [\"Yr Sold\", \"Mo Sold\"]:\n",
    "    try:\n",
    "        discrete.remove(var)\n",
    "    except:\n",
    "        print(var,'is not in continuous list.')\n",
    "                \n",
    "data_transformed.describe(include = 'all')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.4 Dtype conversion for sklearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2926 entries, 0 to 2929\n",
      "Data columns (total 99 columns):\n",
      " #   Column               Non-Null Count  Dtype   \n",
      "---  ------               --------------  -----   \n",
      " 0   Order                2926 non-null   float64 \n",
      " 1   PID                  2926 non-null   float64 \n",
      " 2   Lot Frontage         2436 non-null   float64 \n",
      " 3   Lot Area             2926 non-null   float64 \n",
      " 4   Overall Qual         2926 non-null   float64 \n",
      " 5   Overall Cond         2926 non-null   float64 \n",
      " 6   Year Built           2926 non-null   float64 \n",
      " 7   Year Remod/Add       2926 non-null   float64 \n",
      " 8   Mas Vnr Area_NA      2926 non-null   float64 \n",
      " 9   Mas Vnr Area         2926 non-null   float64 \n",
      " 10  Exter Qual           2926 non-null   float64 \n",
      " 11  Exter Cond           2926 non-null   float64 \n",
      " 12  Bsmt Qual            2926 non-null   float64 \n",
      " 13  Bsmt Cond            2926 non-null   float64 \n",
      " 14  BsmtFin SF 1_NA      2926 non-null   float64 \n",
      " 15  BsmtFin SF 1         2926 non-null   float64 \n",
      " 16  BsmtFin SF 2_NA      2926 non-null   float64 \n",
      " 17  BsmtFin SF 2         2926 non-null   float64 \n",
      " 18  Bsmt Unf SF_NA       2926 non-null   float64 \n",
      " 19  Bsmt Unf SF          2926 non-null   float64 \n",
      " 20  Total Bsmt SF_NA     2926 non-null   float64 \n",
      " 21  Total Bsmt SF        2926 non-null   float64 \n",
      " 22  Heating QC           2926 non-null   float64 \n",
      " 23  Central Air          2926 non-null   float64 \n",
      " 24  1st Flr SF           2926 non-null   float64 \n",
      " 25  2nd Flr SF           2926 non-null   float64 \n",
      " 26  Low Qual Fin SF      2926 non-null   float64 \n",
      " 27  Gr Liv Area          2926 non-null   float64 \n",
      " 28  Bsmt Full Bath_NA    2926 non-null   float64 \n",
      " 29  Bsmt Full Bath       2926 non-null   float64 \n",
      " 30  Bsmt Half Bath_NA    2926 non-null   float64 \n",
      " 31  Bsmt Half Bath       2926 non-null   float64 \n",
      " 32  Full Bath            2926 non-null   float64 \n",
      " 33  Half Bath            2926 non-null   float64 \n",
      " 34  Bedroom AbvGr        2926 non-null   float64 \n",
      " 35  Kitchen AbvGr        2926 non-null   float64 \n",
      " 36  Kitchen Qual         2926 non-null   float64 \n",
      " 37  TotRms AbvGrd        2926 non-null   float64 \n",
      " 38  Fireplaces           2926 non-null   float64 \n",
      " 39  Fireplace Qu         2926 non-null   float64 \n",
      " 40  Garage Yr Blt        2767 non-null   float64 \n",
      " 41  Garage Cars_NA       2926 non-null   float64 \n",
      " 42  Garage Cars          2926 non-null   float64 \n",
      " 43  Garage Area_NA       2926 non-null   float64 \n",
      " 44  Garage Area          2926 non-null   float64 \n",
      " 45  Garage Qual          2926 non-null   float64 \n",
      " 46  Garage Cond          2926 non-null   float64 \n",
      " 47  Wood Deck SF         2926 non-null   float64 \n",
      " 48  Open Porch SF        2926 non-null   float64 \n",
      " 49  Enclosed Porch       2926 non-null   float64 \n",
      " 50  3Ssn Porch           2926 non-null   float64 \n",
      " 51  Screen Porch         2926 non-null   float64 \n",
      " 52  Pool Area            2926 non-null   float64 \n",
      " 53  Misc Val             2926 non-null   float64 \n",
      " 54  Mo Sold              2926 non-null   float64 \n",
      " 55  Yr Sold              2926 non-null   float64 \n",
      " 56  SalePrice            2926 non-null   float64 \n",
      " 57  MS SubClass          2926 non-null   category\n",
      " 58  MS Zoning            2926 non-null   category\n",
      " 59  Street               2926 non-null   category\n",
      " 60  Alley                2926 non-null   category\n",
      " 61  Lot Shape            2926 non-null   category\n",
      " 62  Land Contour         2926 non-null   category\n",
      " 63  Utilities            2926 non-null   category\n",
      " 64  Lot Config           2926 non-null   category\n",
      " 65  Land Slope           2926 non-null   category\n",
      " 66  Neighborhood         2926 non-null   category\n",
      " 67  Condition 1          2926 non-null   category\n",
      " 68  Condition 2          2926 non-null   category\n",
      " 69  Bldg Type            2926 non-null   category\n",
      " 70  House Style          2926 non-null   category\n",
      " 71  Roof Style           2926 non-null   category\n",
      " 72  Roof Matl            2926 non-null   category\n",
      " 73  Exterior 1st         2926 non-null   category\n",
      " 74  Exterior 2nd         2926 non-null   category\n",
      " 75  Mas Vnr Type         2926 non-null   category\n",
      " 76  Foundation           2926 non-null   category\n",
      " 77  Bsmt Exposure        2926 non-null   category\n",
      " 78  BsmtFin Type 1       2926 non-null   category\n",
      " 79  BsmtFin Type 2       2926 non-null   category\n",
      " 80  Heating              2926 non-null   category\n",
      " 81  Electrical           2926 non-null   category\n",
      " 82  Functional           2926 non-null   category\n",
      " 83  Garage Type          2926 non-null   category\n",
      " 84  Garage Finish        2926 non-null   category\n",
      " 85  Paved Drive          2926 non-null   category\n",
      " 86  Pool QC              2926 non-null   category\n",
      " 87  Fence                2926 non-null   category\n",
      " 88  Misc Feature         2926 non-null   category\n",
      " 89  Sale Type            2926 non-null   category\n",
      " 90  Sale Condition       2926 non-null   category\n",
      " 91  years_until_remod    2926 non-null   float64 \n",
      " 92  years_remod_to_sale  2926 non-null   float64 \n",
      " 93  years_built_to_sale  2926 non-null   float64 \n",
      " 94  sin_month_sale       2926 non-null   float64 \n",
      " 95  cos_month_sale       2926 non-null   float64 \n",
      " 96  Bathroom_total       2926 non-null   float64 \n",
      " 97  Floor_area           2926 non-null   float64 \n",
      " 98  Floor_area_ratio     2926 non-null   float64 \n",
      "dtypes: category(34), float64(65)\n",
      "memory usage: 1.6 MB\n"
     ]
    }
   ],
   "source": [
    "# Converting object types to numbers and strings\n",
    "# Convert dtypes tends to convert to Float64 or Int64 type, which does not cooperate well with other libraries\n",
    "# Therefore we convert in a loop to float64 type\n",
    "# For further improvement we could differentiate between float and int variables\n",
    "data_transformed = data_transformed.convert_dtypes()\n",
    "\n",
    "for column in data_transformed.select_dtypes(exclude=['category']).columns:\n",
    "    data_transformed[column] = data_transformed[column].astype(float)\n",
    "\n",
    "# Check if conversion went smoothly\n",
    "data_transformed.info()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Train/valid/test split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preparing list of explanatory variables \n",
    "features = list(chain(continuous, categorical, discrete))\n",
    "\n",
    "try:\n",
    "    features.remove(target)\n",
    "except:\n",
    "    print('Variable',target,'is already removed from features list.')\n",
    "\n",
    "X = data_transformed.loc[:, features]\n",
    "y = data_transformed[target]\n",
    "\n",
    "# We split first to train_valid and test and then to train and valid separately, because we want to use tran_valid test \n",
    "# for crossvalidation purposes\n",
    "X_train_valid, X_test, y_train_valid, y_test = train_test_split(X, y, random_state= seed, train_size = test_split)\n",
    "X_train, X_valid, y_train, y_valid = train_test_split(X_train_valid, y_train_valid, random_state= seed, train_size = valid_split)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X train size: 1872\n",
      "X valid size: 468\n",
      "X train_valid size: 2340\n",
      "X test (holdout) size: 586\n",
      "\n",
      "\n",
      "Y train size: 1872\n",
      "Y valid size: 468\n",
      "Y train_valid size: 2340\n",
      "Y test (holdout) size: 586\n",
      "\n",
      "\n",
      "Total data size: 2926\n",
      "Sample sizes are correct\n"
     ]
    }
   ],
   "source": [
    "print('X train size: ' + str(X_train.shape[0]))\n",
    "print('X valid size: ' + str(X_valid.shape[0]))\n",
    "print('X train_valid size: ' + str(X_train_valid.shape[0]))\n",
    "print('X test (holdout) size: ' + str(X_test.shape[0]))\n",
    "print('\\n')\n",
    "print('Y train size: ' + str(y_train.shape[0]))\n",
    "print('Y valid size: ' + str(y_valid.shape[0]))\n",
    "print('Y train_valid size: ' + str(y_train_valid.shape[0]))\n",
    "print('Y test (holdout) size: ' + str(y_test.shape[0]))\n",
    "print('\\n')\n",
    "print('Total data size: ' + str(data_transformed.shape[0]))\n",
    "if data_transformed.shape[0] == (y_train.shape[0] + y_valid.shape[0] +y_test.shape[0]):\n",
    "    print('Sample sizes are correct')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Saving created pandas dataframes\n",
    "filename = 'X_train_valid.csv'\n",
    "file = os.path.join(parent, 'data\\interim', filename)\n",
    "X_train_valid.to_csv(file)\n",
    "\n",
    "filename = 'X_test.csv'\n",
    "file = os.path.join(parent, 'data\\interim', filename)\n",
    "X_test.to_csv(file)\n",
    "\n",
    "filename = 'y_train_valid.csv'\n",
    "file = os.path.join(parent, 'data\\interim', filename)\n",
    "y_train_valid.to_csv(file)\n",
    "\n",
    "filename = 'y_test.csv'\n",
    "file = os.path.join(parent, 'data\\interim', filename)\n",
    "y_test.to_csv(file)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Sample feature engineering\n",
    "\n",
    "#### 4.1. Expert domain corrections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lot Frontage\n",
      "mode 0    60.0\n",
      "Name: Lot Frontage, dtype: float64\n",
      "median 68.0\n",
      "mean 69.32479508196721\n"
     ]
    }
   ],
   "source": [
    "#MANUAL_INPUT\n",
    "#Lot Frontage has a lot of missing values - we will try to impute those\n",
    "print('Lot Frontage')\n",
    "print('mode',X_train_valid['Lot Frontage'].mode())\n",
    "print('median',X_train_valid['Lot Frontage'].median())\n",
    "print('mean',X_train_valid['Lot Frontage'].mean())\n",
    "\n",
    "#Expert decision - we will fill Lot Frontage variable with median value and create additional Lot Frontage_NA missing indicator.\n",
    "#Median value imposed from train_valid dataset in order to prevent information leakage\n",
    "\n",
    "X_train_valid['Lot Frontage'+'_NA'] = np.where(X_train_valid['Lot Frontage'].isnull(), 1, 0)\n",
    "X_test['Lot Frontage'+'_NA'] = np.where(X_test['Lot Frontage'].isnull(), 1, 0)\n",
    "\n",
    "\n",
    "# Possible further improvement: this ideally would be a stored value invoked for production incoming data vector\n",
    "X_train_valid['Lot Frontage'] = X_train_valid['Lot Frontage'].fillna(X_train_valid['Lot Frontage'].median())\n",
    "X_test['Lot Frontage'] = X_test['Lot Frontage'].fillna(X_train_valid['Lot Frontage'].median())\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.2 Eliminating unwanted characteristics - low variance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are no infinite values in checked set of variables\n"
     ]
    }
   ],
   "source": [
    "totala = 0\n",
    "\n",
    "for var in X_train_valid.select_dtypes(exclude=['category']):\n",
    "    if np.isinf(X_train_valid[[var]]).sum().all() != 0:\n",
    "        print(var,'has infinite values present.')\n",
    "        totala += 1\n",
    "\n",
    "if totala == 0:\n",
    "    print('There are no infinite values in checked set of variables')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lot Frontage - 0.004958630906678015\n",
      "Lot Area - 0.0015770484537560275\n",
      "BsmtFin SF 1 - 0.006414445391660887\n",
      "Total Bsmt SF - 0.005041635740815621\n",
      "1st Flr SF - 0.007624979196081178\n",
      "Low Qual Fin SF - 0.0021805855830830927\n",
      "Gr Liv Area - 0.009141658121994908\n",
      "Wood Deck SF - 0.007963734695647534\n",
      "Open Porch SF - 0.007486101051002218\n",
      "Enclosed Porch - 0.004296793564222803\n",
      "3Ssn Porch - 0.0026254527259021183\n",
      "Screen Porch - 0.009441975465144008\n",
      "Misc Val - 0.0008122098591535176\n",
      "Floor_area - 0.005320213496897058\n",
      "Lot Area - 0.0015770484537560275\n",
      "Exter Cond - 0.00857956455567608\n",
      "Kitchen AbvGr - 0.005488725589908241\n",
      "Pool Area - 0.0016872073145165378\n",
      "Mas Vnr Area_NA - 0.008057172507793023\n",
      "BsmtFin SF 1_NA - 0.0004273504273504265\n",
      "BsmtFin SF 2_NA - 0.0004273504273504265\n",
      "Bsmt Unf SF_NA - 0.0004273504273504265\n",
      "Total Bsmt SF_NA - 0.0004273504273504265\n",
      "Bsmt Full Bath_NA - 0.0008543354417659642\n",
      "Bsmt Half Bath_NA - 0.0008543354417659642\n"
     ]
    }
   ],
   "source": [
    "#MANUAL_INPUT\n",
    "\n",
    "# First - let's exclude low variance variables from our analysis\n",
    "variable_input=X_train_valid.select_dtypes(exclude=['category'])\n",
    "\n",
    "normalized_df=(variable_input-variable_input.min())/(variable_input.max()-variable_input.min()) # min-max scaling for <0;1> range of values\n",
    "low_var = normalized_df.var()\n",
    "low_var_columns = variable_input.columns\n",
    "\n",
    "low_var_vars = [ ]\n",
    "\n",
    "for i in range(0,len(low_var)):\n",
    "    if low_var[i] <= low_variance_treshold: # cutoff low variance treshold\n",
    "        low_var_vars.append(str(low_var_columns[i]))\n",
    "        print(str(low_var_columns[i])+ ' - ' + str(low_var[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "#MANUAL_INPUT\n",
    "#Deleting low variance variables (except indicating imputations)\n",
    "\n",
    "low_var_vars = [var for var in low_var_vars if var not in discrete]\n",
    "low_var_vars\n",
    "\n",
    "\n",
    "for var in low_var_vars:\n",
    "    try:\n",
    "        continuous.remove(var)\n",
    "        features.remove(var)\n",
    "    except:\n",
    "        print(var,'is not in continuous or features list.')          "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Overall Qual',\n",
       " 'Overall Cond',\n",
       " 'Exter Qual',\n",
       " 'Exter Cond',\n",
       " 'Bsmt Qual',\n",
       " 'Bsmt Cond',\n",
       " 'Heating QC',\n",
       " 'Central Air',\n",
       " 'Bsmt Full Bath',\n",
       " 'Bsmt Half Bath',\n",
       " 'Full Bath',\n",
       " 'Half Bath',\n",
       " 'Bedroom AbvGr',\n",
       " 'Kitchen AbvGr',\n",
       " 'Kitchen Qual',\n",
       " 'TotRms AbvGrd',\n",
       " 'Fireplaces',\n",
       " 'Fireplace Qu',\n",
       " 'Garage Cars',\n",
       " 'Garage Qual',\n",
       " 'Garage Cond',\n",
       " 'Pool Area',\n",
       " 'Mas Vnr Area_NA',\n",
       " 'BsmtFin SF 1_NA',\n",
       " 'BsmtFin SF 2_NA',\n",
       " 'Bsmt Unf SF_NA',\n",
       " 'Total Bsmt SF_NA',\n",
       " 'Bsmt Full Bath_NA',\n",
       " 'Bsmt Half Bath_NA',\n",
       " 'Garage Cars_NA',\n",
       " 'Garage Area_NA',\n",
       " 'cos_month_sale',\n",
       " 'sin_month_sale',\n",
       " 'Bathroom_total']"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "discrete"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SalePrice is not in continuous or features list.\n"
     ]
    }
   ],
   "source": [
    "# Deleting target for exclusion from graphich investigation\n",
    "try:\n",
    "    continuous.remove(target)\n",
    "    features.remove(target)\n",
    "except:\n",
    "    print(target,'is not in continuous or features list.')    "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.3 Eliminating unwanted characteristics - inspecting distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mas Vnr Area\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BsmtFin SF 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bsmt Unf SF\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2nd Flr SF\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Garage Area\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "years_until_remod\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "years_remod_to_sale\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "years_built_to_sale\n"
     ]
    },
    {
     "data": {
      "image/png": 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jERGRwanfE24+n6/PcumeFtmLFi3ihBNOALr/QjVhwgReeOEFjj766GK77qeeeoq6ujoOPfRQbrjhBr7zne9w7bXXEggE9vS3IyIiIjLojB49mlmzZvHf//3fxWOzZs1i1KhR/RiVyK556qmnaG5u5pxzztli7LbbbsM0TU4//XRyuRzTp0/nxz/+cXHcsiweffRRLrzwQqZOnUo0GmX27Nlcf/31xTnjx4/nscce49JLL+X2229n9OjR/PznP2f69OnFOV/+8pfZuHEjV199NS0tLRx66KE88cQTvRopbCsWEREZnPo94fbuu+/S2NhIKBRi6tSp3HTTTTQ1NW2zRfbRRx+91XbdF154Ia+//jqHHXZYn6+Zy+XI5XLF52qjLSIiIsPdrFmzePzxx9m0aRMjR47kK1/5Sn+HJLJLTjrppF5Vm5sLhUIsWLCABQsWbPX8sWPH8vvf//4TX+O4447jr3/96yfOmTNnDnPmzNnq+PbEIiIig0+/7uE2ZcoU7r33Xp544gnuuusuVq1axbHHHktXV1fJ2nX3RW20RURERHoLhULMnTuXuro6Lr30UkKhUH+HJCIiIjJo9WuF24wZM4pfH3zwwUyZMoWxY8fy4IMPEg6Hd9vrXnHFFcydO7f4PJFIKOkmIiIyzHieRzab7e8wBgzP85gwYQILFy4kGAySyWT6O6QBIxQKaS87ERER2SH9vqR0c5WVley333689957fO5znyu2yN68yu3jbbRfeumlXtf4eLvuvgSDweJmpyIiIjI8ZbPZXn/8E9maxx9/fLf+MVhERESGnn5dUvpxyWSS999/n4aGhpK16xYREREREREREdmT+rXC7dvf/jZf+MIXGDt2LOvWreOaa67BsizOPPPMkrXrFhGR4evZZ5/lv/7rv1i+fDnr16/nd7/7HaeeeioAhUKBK6+8kt///vd88MEHxGIxpk2bxg9+8AMaGxuL12hvb+eb3/wmjzzySLGL3O23305ZWVk/fVdSKqFQiMcff7y/wxgwstksX/rSlwD43e9+pz3cNqOfhYiIiOyofk24ffTRR5x55pm0tbUxcuRIjjnmGF544QVGjhwJlKZdt4iIDF+pVIpDDjmEc845h9NOO63XWDqd5pVXXuGqq67ikEMOoaOjg29961t88Ytf5OWXXy7OmzVrFuvXr2fx4sUUCgXOPvtszj//fBYtWrSnvx0pMcMwtExwK0KhkH42IiIiIrugXxNuv/rVrz5xvFTtukVEZHiaMWPGVvfoisViLF68uNexO++8k6OOOorm5maampp48803eeKJJ1i2bBmTJ08G4Ec/+hEnn3wyP/zhD3tVwomIiIiIiPQYUHu4iYiI9Kd4PI5hGMVmPUuXLqWysrKYbAOYNm0apmny4osvbvU6uVyORCLR6yEiIiIiIsOHEm4iIiJ071/1ne98hzPPPJOKigoAWlpaqK2t7TXP5/NRXV1NS0vLVq910003EYvFio8xY8bs1thFRERERGRgUcJNRESGvUKhwL/+67/ieR533XXXLl/viiuuIB6PFx9r1qwpQZQiIiIiIjJY9OsebiIiIv2tJ9m2evVqnn766WJ1G0B9fT0bNmzoNd+2bdrb26mvr9/qNYPBoLpli4iIiIgMY6pwExGRYasn2fbuu+/y1FNPUVNT02t86tSpdHZ2snz58uKxp59+Gtd1mTJlyp4OV0REREREBglVuImIyJCVTCZ57733is9XrVrFq6++SnV1NQ0NDfzzP/8zr7zyCo8++iiO4xT3ZauuriYQCDBhwgQ+//nPc95557Fw4UIKhQJz5szhjDPOUIdSERERERHZKiXcRERkyHr55Zc5/vjji8/nzp0LwOzZs7n22mt5+OGHATj00EN7nffHP/6R4447DoAHHniAOXPmcOKJJ2KaJqeffjp33HHHHolfREREREQGJyXcRERkyDruuOPwPG+r45801qO6uppFixaVMiwRERERERnitIebiIiIiIiIiIhICSnhJiIiIiIiIiIiUkJKuImIiIiIiIiIiJSQEm4iIiIiIiIiIiIlpISbiIiIiIiIiIhICSnhJiIiIiIiIiIiUkJKuImIiIiIiIiIiJSQEm4iIiIiIiIiIiIl5OvvAERERERERGTo8jyPVN7Bdlx8lkk0YGEYRn+HJSKyWynhJiIiIiIiIrtFPFNgdVuK9mQe2/XwmQbVZQHG1kSJhf39HZ6IyG6jhJuIiIiIiIiUXDxTYOXaOKmcTVUkQMBnkrddWuJZurI2k0bFlHQTkSFLe7iJiIiIiIhISXmex+q2FKmcTUMsTMhvYRoGIb9FQyxMKmfT3J7C87z+DlVEZLdQwk1ERERERERKKpV3aE/mqYoE+hyvigRo68qTyjt7ODIRkT1DS0pFRERERERkm3ak+YHtuNiuR8DXd42H3zKxXQ/bcXdnyCIi/UYJNxEREREREflEO9r8wGeZ+EyDvO0S8ltbjBccF59p4LO06EpEhia9u4mIiIiIiAxznueRzNl0pvMkc3avvdV6mh+0xLNEgz5GlgeJBn20xLOsXBsnnilscb1owKK6LEBHOt/n63Wk89SUB4gGtkzGiYgMBapwExERERERGcY+qXqtIuTr1fygR0/zg/XxDM3tKSY1xnotLzUMg7E1UbqyNuvjGaoiAfyWScFx6UjniQZ9NFVHt7okVURksFPCTUREREREZJjqqV5L5WyqIgECPpO87dISz9KVtRk/IrrdzQ/Kgr1vL2NhP5NGxbZI5jVUhmiq7nspqojIUKGEm4iIiIiIyDDked42q9dWb0pRcNydbn4QC/s5aFRsu5stiIgMFUq4iYiIiIiIDEOpvLPN6rVNqRx47FLzA8Mwtqh+ExEZ6tQ0QUREREREZBiyHRfb9T6xes1nGFSEfWp+ICKyg5RwExERERGRIWft2rV89atfpaamhnA4zEEHHcTLL79cHPc8j6uvvpqGhgbC4TDTpk3j3Xff7XWN9vZ2Zs2aRUVFBZWVlZx77rkkk8lec1577TWOPfZYQqEQY8aM4ZZbbtkilt/85jcccMABhEIhDjroIH7/+9/3Gt+eWHYHn2XiMw3ydt/LQQuOi98yGT+ijGjQx/p4hmzBwXE9sgWH9fGMmh+IiGyFEm4iIiIiIjKkdHR08OlPfxq/38/jjz/OG2+8wa233kpVVVVxzi233MIdd9zBwoULefHFF4lGo0yfPp1sNlucM2vWLF5//XUWL17Mo48+yrPPPsv5559fHE8kEpx00kmMHTuW5cuX81//9V9ce+21/PSnPy3Oef755znzzDM599xz+etf/8qpp57KqaeeysqVK3colt0hGrCoLgtss3qtIRZi0qgY9bEQqZzNpmSue9+3yu7jan4gIrIlLaQXEREREZEh5eabb2bMmDHcc889xWPjx48vfu15HvPnz+fKK6/klFNOAeD++++nrq6Ohx56iDPOOIM333yTJ554gmXLljF58mQAfvSjH3HyySfzwx/+kMbGRh544AHy+Tx33303gUCAAw88kFdffZV58+YVE3O33347n//857nssssAuOGGG1i8eDF33nknCxcu3K5YdhfDMBhbE6Ura7M+nqEqEsBvmRQcl450vlf1mpofiIjsGFW4iYiIiIjIkPLwww8zefJk/uVf/oXa2loOO+wwfvaznxXHV61aRUtLC9OmTSsei8ViTJkyhaVLlwKwdOlSKisri8k2gGnTpmGaJi+++GJxzmc+8xkCgX80HZg+fTpvv/02HR0dxTmbv07PnJ7X2Z5YPi6Xy5FIJHo9dlYs7N/u6rWe5geVkQBlQZ+SbSIin0AJNxERERERGVI++OAD7rrrLvbdd1+efPJJLrzwQi6++GLuu+8+AFpaWgCoq6vrdV5dXV1xrKWlhdra2l7jPp+P6urqXnP6usbmr7G1OZuPbyuWj7vpppuIxWLFx5gxY7b1I/lEPdVrk8dXM3lcFZPHVzOpUUtFRUR2hRJuIiIiIiIypLiuy+GHH86NN97IYYcdxvnnn895553HwoUL+zu0krjiiiuIx+PFx5o1a3b5mqpeExEpLSXcRERERERkSGloaGDixIm9jk2YMIHm5mYA6uvrAWhtbe01p7W1tThWX1/Phg0beo3btk17e3uvOX1dY/PX2Nqczce3FcvHBYNBKioqej0GE8/zSOZsOtN5kjkbz/P6OyQRkZJTwk1ERERERIaUT3/607z99tu9jr3zzjuMHTsW6G6gUF9fz5IlS4rjiUSCF198kalTpwIwdepUOjs7Wb58eXHO008/jeu6TJkypTjn2WefpVAoFOcsXryY/fffv9gRderUqb1ep2dOz+tsTyx7wp5KgsUzBVasjfPyqnZe/rCDl1e1s2JtnHimsO2TRUQGEXUpFRERERGRIeXSSy/lU5/6FDfeeCP/+q//yksvvcRPf/pTfvrTnwLdyycvueQSvve977Hvvvsyfvx4rrrqKhobGzn11FOB7oq4z3/+88WlqIVCgTlz5nDGGWfQ2NgIwFe+8hWuu+46zj33XL7zne+wcuVKbr/9dm677bZiLN/61rf47Gc/y6233srMmTP51a9+xcsvv7xDsexu8UyB1W0p2pN5bNfDZxpUlwUYWxMt6T5u8UyBlWvjpHI2VZEAAZ9J3nZpiWfpytpbNGkQERnMlHATEREREZEh5cgjj+R3v/sdV1xxBddffz3jx49n/vz5zJo1qzjn8ssvJ5VKcf7559PZ2ckxxxzDE088QSgUKs554IEHmDNnDieeeCKmaXL66adzxx13FMdjsRh/+MMfuOiiizjiiCMYMWIEV199Neeff35xzqc+9SkWLVrElVdeyX/8x3+w77778tBDDzFp0qQdimV32VNJMM/zWN2W6u6AGgsXj4f8Fg2xMOvjGZrbU0xqjGn/OBEZEgxPC+ZJJBLEYjHi8fgO73/wyiuvcMQRRzB3wW8Zve+BO/zaH737OvMuOo3ly5dz+OGH7/D5IiID0a68rw5F+nnIYJDJZJgxYwYAjz/+OOFweBtniPQfva/2trM/D8/zWLE2Tks82ysJ1mN9PENDZagkSbBkzublVe1Egz5CfmuL8WzBIZWzmTy+mrKg6kJEpH+V4nNGe7iJiIiIiIgMQ6m8Q3syT1Uk0Od4VSRAW1eeVN7Z5deyHRfb9Qj4+r4F9VsmtuthO+4uv5aIyECghJuIiIiIiMgwtCeTYD7LxGca5O2+r1VwXHymgc/SLaqIDA16NxMRERERERmG9mQSLBqwqC4L0JHO9znekc5TUx4gGthyuamIyGCkhJuIiIiIiMgwtCeTYIZhMLYmSjToY308Q7bg4Lge2YLD+niGaNBHU3VUDRNEZMjQbpQiIiIiIiLDUE8SrCtrsz6eoSoSwG+ZFByXjnS+5EmwWNjPpFExVrelaE/msV0Pn2nQUBmiqTpakm6oIiIDhRJuIiIiIiIiw9SeToLFwn4OGhUjlXewHRefZRINWKpsE5EhRwk3ERERERGRYWxPJ8EMw6AsqFtRERna9C4nIiIiIiIyzCkJJiJSWmqaICIiIiIiIiIiUkJKuImIyJD17LPP8oUvfIHGxkYMw+Chhx7qNe55HldffTUNDQ2Ew2GmTZvGu+++22tOe3s7s2bNoqKigsrKSs4991ySyeQe/C5ERERERGSwUcJNRESGrFQqxSGHHMKCBQv6HL/lllu44447WLhwIS+++CLRaJTp06eTzWaLc2bNmsXrr7/O4sWLefTRR3n22Wc5//zz99S3ICIiIiIig5AW6YuIyJA1Y8YMZsyY0eeY53nMnz+fK6+8klNOOQWA+++/n7q6Oh566CHOOOMM3nzzTZ544gmWLVvG5MmTAfjRj37EySefzA9/+EMaGxv32PciIiIiIiKDhyrcRERkWFq1ahUtLS1MmzateCwWizFlyhSWLl0KwNKlS6msrCwm2wCmTZuGaZq8+OKLW712LpcjkUj0eoiIiIiIyPChhJuIiAxLLS0tANTV1fU6XldXVxxraWmhtra217jP56O6uro4py833XQTsVis+BgzZkyJoxcRERERkYFMCTcREZESu+KKK4jH48XHmjVr+jskERGRPnmeRzJn05nOk8zZeJ7X3yGJiAwJ2sNNRESGpfr6egBaW1tpaGgoHm9tbeXQQw8tztmwYUOv82zbpr29vXh+X4LBIMFgsPRBi4iIlFA8U2B1W4r2ZB7b9fCZBtVlAcbWRImF/f0dnojIoDZgKtx+8IMfYBgGl1xySfFYNpvloosuoqamhrKyMk4//XRaW1t7ndfc3MzMmTOJRCLU1tZy2WWXYdv2Ho5eREQGm/Hjx1NfX8+SJUuKxxKJBC+++CJTp04FYOrUqXR2drJ8+fLinKeffhrXdZkyZcoej1lERKRU4pkCK9fGaYlniQZ9jCwPEg36aIlnWbk2TjxT6O8QRUQGtQFR4bZs2TJ+8pOfcPDBB/c6fumll/LYY4/xm9/8hlgsxpw5czjttNP4y1/+AoDjOMycOZP6+nqef/551q9fz9e+9jX8fj833nhjf3wrIiIygCSTSd57773i81WrVvHqq69SXV1NU1MTl1xyCd/73vfYd999GT9+PFdddRWNjY2ceuqpAEyYMIHPf/7znHfeeSxcuJBCocCcOXM444wz1KFUREQGLc/zWN2WIpWzaYiFi8dDfouGWJj18QzN7SkmNcYwDGOb10rlHWzHxWeZRAPWNs8RERkO+j3hlkwmmTVrFj/72c/43ve+Vzwej8f5xS9+waJFizjhhBMAuOeee5gwYQIvvPACRx99NH/4wx944403eOqpp6irq+PQQw/lhhtu4Dvf+Q7XXnstgUCgv74tEREZAF5++WWOP/744vO5c+cCMHv2bO69914uv/xyUqkU559/Pp2dnRxzzDE88cQThEKh4jkPPPAAc+bM4cQTT8Q0TU4//XTuuOOOPf69iIiIlEoq79CezFMV6ft+qSoSoK0rTyrvUBbc+i2jlqSKiGxdvy8pveiii5g5cybTpk3rdXz58uUUCoVexw844ACamppYunQpAEuXLuWggw7q1WFu+vTpJBIJXn/99a2+Zi6XI5FI9HqIiMjQc9xxx+F53haPe++9FwDDMLj++utpaWkhm83y1FNPsd9++/W6RnV1NYsWLaKrq4t4PM7dd99NWVlZP3w3IiIipWE7LrbrEfCZeHikCzZd2QLpgo2Hh98ysV0P23G3eg0tSRUR+WT9WuH2q1/9ildeeYVly5ZtMdbS0kIgEKCysrLX8bq6OlpaWopzNk+29Yz3jG3NTTfdxHXXXbeL0YuIiIiIiAw+PsvEZxq0p/J0pPMk0gVsz8NnGFRE/FRFAvhMA5/Vd31GKZekiogMVf1W4bZmzRq+9a1v8cADD/RaurMnXHHFFcTj8eJjzZo1e/T1RURERERE+ks0YBH0W7z2USdtyRyhgEVVJEAoYNGWzPHaR50E/RbRgNXn+TuyJFVEZLjqt4Tb8uXL2bBhA4cffjg+nw+fz8ef/vQn7rjjDnw+H3V1deTzeTo7O3ud19raSn19PQD19fVbdC3ted4zpy/BYJCKiopeDxERERERkeHCw+v+X8/oOdD7ueFt9dzNl6T2ZXuWpIqIDHX9lnA78cQTWbFiBa+++mrxMXnyZGbNmlX82u/3s2TJkuI5b7/9Ns3NzUydOhWAqVOnsmLFCjZs2FCcs3jxYioqKpg4ceIe/55EREREREQGulTeIV9wOWR0JSPLA2TzDh2ZPNm8w8jyAIeMriSXd7daodazJDVv951QKzjuJy5JFREZDvptD7fy8nImTZrU61g0GqWmpqZ4/Nxzz2Xu3LlUV1dTUVHBN7/5TaZOncrRRx8NwEknncTEiRM566yzuOWWW2hpaeHKK6/koosuIhgM7vHvSUREREREZKDrqVAbWR6kOhogU3BwXA/LNAj7LVwPNiVzW61QiwYsqssCtMSzvfZw69GRztNQGdrqklQRkeGgX5smbMttt92GaZqcfvrp5HI5pk+fzo9//OPiuGVZPProo1x44YVMnTqVaDTK7Nmzuf766/sxahERERERkYFr8wq1kN8iEuh9W1iwnU+sUDMMg7E1UbqyNuvjGaoiAfyWScFx6UjniQZ9NFVH1TBBRIa1AZVwe+aZZ3o9D4VCLFiwgAULFmz1nLFjx/L73/9+N0cmIiIiIiIyNJSiQi0W9jNpVIzVbSnak3ls18NnGjRUhmiqjhIL+3fntyAiMuANqISbiIiIiIiI7F6lqlCLhf0cNCpGKu9gOy4+yyQasFTZJiKCEm4iIiIiIiLDTqkq1AzDoCyo20oRkY/TO6OIiIiIiMgwpAo1EZHdRwk3ERERERGRYUoVaiIiu0ffbWdERERERERERERkpyjhJiIiA1JnZyc///nPueKKK2hvbwfglVdeYe3atf0cmYiIiIiIyCdT7bCIiAw4r732GtOmTSMWi/Hhhx9y3nnnUV1dzW9/+1uam5u5//77+ztEERERERGRrVKFm4iIDDhz587l61//Ou+++y6hUKh4/OSTT+bZZ5/tx8hERESGJs/zSOZsOtN5kjkbz/P6OyQRkUFNFW4iIjLgLFu2jJ/85CdbHB81ahQtLS39EJGIiMjQ5Hke6+NZPtyUIp4t4DMM/JZJdVmAsTVRYmH/Ns9Xl1MRkS2pwk1ERAacYDBIIpHY4vg777zDyJEj+yEiEREZTK699loMw+j1OOCAA4rj2WyWiy66iJqaGsrKyjj99NNpbW3tdY3m5mZmzpxJJBKhtraWyy67DNu2e8155plnOPzwwwkGg+yzzz7ce++9W8SyYMECxo0bRygUYsqUKbz00ku9xrcnlt0lnimw9IM2HnplLX95bxNrNqWJZwt4QEs8y8q1ceKZwieev2JtnJdXtfPyhx28vKqdFds4R0RkuFDCTUREBpwvfvGLXH/99RQK3b+wG4ZBc3Mz3/nOdzj99NP7OToRERkMDjzwQNavX198PPfcc8WxSy+9lEceeYTf/OY3/OlPf2LdunWcdtppxXHHcZg5cyb5fJ7nn3+e++67j3vvvZerr766OGfVqlXMnDmT448/nldffZVLLrmEb3zjGzz55JPFOb/+9a+ZO3cu11xzDa+88gqHHHII06dPZ8OGDdsdy+4SzxRY8VEnK9fG8fDYa2QZFRE/Hak8azszlIf8pHI2ze2pPpeXxjMFVq6N0xLPEg36GFkeJBr0bVeiTkRkOFDCTUREBpxbb72VZDJJbW0tmUyGz372s+yzzz6Ul5fz/e9/v7/DExGRQcDn81FfX198jBgxAoB4PM4vfvEL5s2bxwknnMARRxzBPffcw/PPP88LL7wAwB/+8AfeeOMN/ud//odDDz2UGTNmcMMNN7BgwQLy+TwACxcuZPz48dx6661MmDCBOXPm8M///M/cdtttxRjmzZvHeeedx9lnn83EiRNZuHAhkUiEu+++e7tj2R08z2N1W4r2VJ6AaVJTFsQ0DII+ixFlITJ5m5ZEhsqIn7auPKm80+f5qZxNQyxMyG9hGgYhv0VDLPyJiToRkeFCCTcRERlwYrEYixcv5pFHHuGOO+5gzpw5/P73v+dPf/oT0Wi0v8MTEZFB4N1336WxsZG99tqLWbNm0dzcDMDy5cspFApMmzatOPeAAw6gqamJpUuXArB06VIOOugg6urqinOmT59OIpHg9ddfL87Z/Bo9c3qukc/nWb58ea85pmkybdq04pztiaUvuVyORCLR67EjUnmH9mSesqCPguviuB6pnE224OB5HuUhP/FUAcf1sF0P23H7PL8qEujz+lWRQJ+JOhGR4URNE0REZMA65phjOOaYY/o7DBERGWSmTJnCvffey/7778/69eu57rrrOPbYY1m5ciUtLS0EAgEqKyt7nVNXV1dszNPS0tIr2dYz3jP2SXMSiQSZTIaOjg4cx+lzzltvvVW8xrZi6ctNN93Eddddt30/jD7YjovteoDHxkSWvAuWAaZhUB7yURUJYnsembyDzzTwWWaf5wd8fddv+C2zz0SdiMhwooSbiIgMCHfcccd2z7344ot3YyQiIjLYzZgxo/j1wQcfzJQpUxg7diwPPvgg4XC4HyMrjSuuuIK5c+cWnycSCcaMGbPd5/ssk1zBoSWRoeB52I5HVVkQ2/XoyBRIZAvURIMkczbjR0aJBqwtzveZBnnbJeS3trh+wXH7TNSJiAwnSriJiMiAsPmeN5/EMAwl3EREZIdUVlay33778d577/G5z32OfD5PZ2dnr8qy1tZW6uvrAaivr9+im2hP59DN53y8m2hraysVFRWEw2Esy8KyrD7nbH6NbcXSl2AwSDAY3LEfwmYifpOc47ApWWCfkeV81JGhM1Mg4DMI+kzWtKdxHJdJoypoqo5iGEav86MBi+qyAC3xLA2xLROYHek8DZWhLRJ1IiLDif7kICIiA8KqVau26/HBBx/0d6giIjLIJJNJ3n//fRoaGjjiiCPw+/0sWbKkOP7222/T3NzM1KlTAZg6dSorVqzo1U108eLFVFRUMHHixOKcza/RM6fnGoFAgCOOOKLXHNd1WbJkSXHO9sSyO6QLLgGfxcjyIOm8TUXIRzZv88GGFCs+ipPK2jhAbUWIWNi/xfmGYTC2Jko06GN9PEO24OC4HtmCw/p4hmjQ12eiTkRkOFGFm4iIiIiIDCnf/va3+cIXvsDYsWNZt24d11xzDZZlceaZZxKLxTj33HOZO3cu1dXVVFRU8M1vfpOpU6dy9NFHA3DSSScxceJEzjrrLG655RZaWlq48sorueiii4qVZRdccAF33nknl19+Oeeccw5PP/00Dz74II899lgxjrlz5zJ79mwmT57MUUcdxfz580mlUpx99tkA2xXL7mA7LiGfxf715Xy4KcVbLV0UXI/aWJDykJ+KkJ9krsCHm9LUx8J9Jt1iYT+TRsW6u50m89iuh880aKgM0VQd7fMcEZHhRAk3EREZkD766CMefvhhmpubyefzvcbmzZvXT1GJiMhg8NFHH3HmmWfS1tbGyJEjOeaYY3jhhRcYOXIk0L2NgWmanH766eRyOaZPn86Pf/zj4vmWZfHoo49y4YUXMnXqVKLRKLNnz+b6668vzhk/fjyPPfYYl156KbfffjujR4/m5z//OdOnTy/O+fKXv8zGjRu5+uqraWlp4dBDD+WJJ57o1UhhW7HsDj17sPktg6DPoCrip6kqjN9nUh7yUXA8In6LnO3Q3J5iUmOsz2q1WNjPQaNipPIOtuPis0yiAUuVbSIiKOEmIiID0JIlS/jiF7/IXnvtxVtvvcWkSZP48MMP8TyPww8/vL/DExGRAe5Xv/rVJ46HQiEWLFjAggULtjpn7Nix/P73v//E6xx33HH89a9//cQ5c+bMYc6cObsUS6n17MH2xroE72/ownYglbexMIiGfJiGweiqMPUVIdq68qTyDmXBvm8dDcPY6piIyHCmPdxERGTAueKKK/j2t7/NihUrCIVC/N///R9r1qzhs5/9LP/yL//S3+GJiIgMaoZhUBUN0JLI8lF7Bg8XyzSwXZc1bSna03nKQ34CPgvb9bAdt79DFpE9wPM8kjmbznSeZM7G87z+DmlQ058iRERkwHnzzTf55S9/CYDP5yOTyVBWVsb111/PKaecwoUXXtjPEYqIiAxenufRkcoTC/kI+U0+6sgCHj7TpKbMT8Rv0pUrUBH24TMNfJbqNESGunimsMWejNVlAcbWaE/GnaWEm4iIDDjRaLS4b1tDQwPvv/8+Bx54IACbNm3qz9BEREQGvVTeYU1bGtfziEX9BPwW1ZEArgc5xyFnu7R0ZrEMg/Ejo0QDVn+HLCK7UTxTYOXaOKmcTVUkQMBnkrddWuJZurI2k0bFlHTbCfpThYiIDDhHH300zz33HAAnn3wy//7v/873v/99zjnnnN3atU1ERGQ4KNgO6+NZbBf2ra2gOhoka7v4fSaV4QCZvMuqTSkClkFTdVRNEESGMM/zWN2WIpWzaYiFCfktTMMg5LdoiIVJ5Wya21NaXroTVOEmIiIDzrx580gmkwBcd911JJNJfv3rX7PvvvuqQ6mIiMguyjse6bxNZSRAJOBjdFWYtmSOZNYmgwcG+E2DvWvL+6xq8TxPnUlFhohU3qE9macqEuhzvCoS2GbzFOmbfloiIjLg7LXXXsWvo9EoCxcu7MdoREREhpaAZRAOWmQLNmVBH6YB1dEAFSE/PsugPZ0nHLAYUbblDbj2eRIZWmzHxXY9Ar6+F0D6LVPNU3aSEm4iIjLgrFmzBsMwGD16NAAvvfQSixYtYuLEiZx//vn9HJ2IiMjg5vd1LxVbvSnFinVxvO6iNroXjHlUhPzEwgHyjofnecXqNe3zJDL0+CwTn2mQt11C/i33ayw4rpqn7CT9xEREZMD5yle+wh//+EcAWlpamDZtGi+99BL/+Z//yfXXX9/P0YmIiAxu0YBFTTRIMueAB4YHhgGFgkNbMsd7G5O0JrK8/lEnL65qo7k9TVe2wIebktrnSWSIiQYsqssCdKTzfY53pPPUlAfUPGUnKOEmIiIDzsqVKznqqKMAePDBBznooIN4/vnneeCBB7j33nv7NzgREZEhwMMj5DdpiIUYNzJCXXkQx3DBg6BlEvQZtCZz/OW9Nh7660f84fVWXlndSWArVS6b7/MkIoOHYRiMrYkSDfpYH8+QLTg4rke24LA+niEa9Kl5yk7SklIRERlwCoUCwWAQgKeeeoovfvGLABxwwAGsX7++P0MTEREZ9FJ5h3zB5ZDRlXSk86yPZ3m7JUF7qkB11I9pGvytuZO9assYVRkhkcmTyBTY2JXDsgyCfmuLzdO1z5PI4BUL+5k0KrbF/owNlSGaqrU/485Swk1ERAacAw88kIULFzJz5kwWL17MDTfcAMC6deuoqanp5+hEREQGt55N0keWBwn4TNbF0xgGjKsJEw5YbOjK05EukMx2V7pUhAN0ZgpUhP10ZQq0xDPsPbKsV8WL9nkSGdxiYT8HjYqpA3EJ6d1QREQGnJtvvpmf/OQnHHfccZx55pkccsghADz88MPFpaYiIiKyc3o2Sc8VHFoTWVJZF8eDjlSBVZvSfNSexjIN0nmbtmSuO5FmQFmoew+neLpAptB76aj2eRIZ/AzDoCzoozISoCzoU7JtF6nCTUREBpzjjjuOTZs2kUgkqKqqKh4///zziUQixed/+ctfmDx5cnH5qYiIiGxbzybpH25K0ZLI0Z7OsSGewbRMXA/a0nmitkk4YBLyWcTCAXymSWNlGNeD1niWppxN0GdRcFw60nnt8yQi8jGqcBMRkQHJsqxeyTaAcePGUVtbW3w+Y8YM1q5du0uv4zgOV111FePHjyccDrP33ntzww039Oqy5nkeV199NQ0NDYTDYaZNm8a77767S68rIiLSX3o2SQ/4TN5aH2djIkvAZ1EouKSzBVzXJW97NLdleG9jkpZEhljUz4iyIGOqIowoC5CzXTYlc91dSytDTBoV0z5PIiKbUYWbiIgMWpsnxXbWzTffzF133cV9993HgQceyMsvv8zZZ59NLBbj4osvBuCWW27hjjvu4L777mP8+PFcddVVTJ8+nTfeeINQKLTLMYiIiOxpsbCfvUZEyRUcbBeCPouOVB7HdamMBADI2S5rO9OMqgxTHvJjYFBwXA4fW0ldRZic7RLyW4wsC2CaquUQEdmcEm4iIjKsPf/885xyyinMnDkT6K6i++Uvf8lLL70EdCf15s+fz5VXXskpp5wCwP33309dXR0PPfQQZ5xxRr/FLiIisisiAYtYJEAMsF0PDA/LNEhmbbqyNgXbJeK3KAtabEpmcRwXwzBI5V3eWt9V7GTYWhZgbI06GYqIbE5/hhARkWHtU5/6FEuWLOGdd94B4G9/+xvPPfccM2bMAGDVqlW0tLQwbdq04jmxWIwpU6awdOnSPq+Zy+VIJBK9HiIiIgONYRhUhf34fQaJdJ6w3yLi91EdCTAiGqS2IkQs7Cfgs9gQz+H/ewfSZNYmGvQxsjxINOijJZ5l5do48Uyhn78jEZGBQxVuIiIyrH33u98lkUhwwAEHYFkWjuPw/e9/n1mzZgHQ0tICQF1dXa/z6urqimMfd9NNN3Hdddft3sBFRER2UUXYT21FkPiGAsmsQ1uqgAf4LKiOBCgPBamMBDi8qYqc7RD0mdh5h4ZYuHiNkN+iIRZmfTxDc3uKSY0xNU4QEUEVbiIiMoiV4hf6Bx98kAceeIBFixbxyiuvcN999/HDH/6Q++67b6evecUVVxCPx4uPNWvW7HKcIiIipea6Hq5n8G5rkrXxFPF0nnQhT6HgsqkrS3s6T1NNhMqIH59lksjZVP19f7ePq4oEaOvKk8o7e/i7EBEZmJRwExGRQasUTRMuu+wyvvvd73LGGWdw0EEHcdZZZ3HppZdy0003AVBfXw9Aa2trr/NaW1uLYx8XDAapqKjo9RARke3z3//933z605+msbGR1atXAzB//nz+3//7f/0c2dASzxRYsTZOezqHaXoYhkmm4JDKumxK50nkbGzHxQM60nliER8+wyDg6/sW0m+Z2K6H7bh79hsRERmglHATEZEBa+PGjTz33HM899xzbNy4cYvxrq4u9tprr116jXQ6vUVnNcuycN3uG4bx48dTX1/PkiVLiuOJRIIXX3yRqVOn7tJri4hIb3fddRdz587l5JNPprOzE8fprpaqrKxk/vz5/RvcEOJ5HqvbUrQlc3RlbSIBH42VYSrDfiJ+i7DPIur3YZkGr6+NYxoG42rK8FsmebvvhFrBcfGZBj5Lt5giIqCEm4iIDECpVIpzzjmHxsZGPvOZz/CZz3yGxsZGzj33XNLpdElf6wtf+ALf//73eeyxx/jwww/53e9+x7x58/jSl74EdC9bveSSS/je977Hww8/zIoVK/ja175GY2Mjp556akljEREZ7n70ox/xs5/9jP/8z//Esqzi8cmTJ7NixYp+jGxoSeUd2pN5LMugNZ4l7PczfkSU/RoqGFMTYUR5kKDfAgNSOZvRVWEaYiGqywJ0pPN9XrMjnaemPEA0YPU5vi2e55HM2XSm8yRzdkmq2EVE+pOaJoiIyIAzd+5c/vSnP/Hwww/z6U9/GoDnnnuOiy++mH//93/nrrvuKtlr/ehHP+Kqq67i//v//j82bNhAY2Mj//Zv/8bVV19dnHP55ZeTSqU4//zz6ezs5JhjjuGJJ54gFAqVLA4REenuDH3YYYdtcTwYDJJKpfohoqHJdlxs18NzIWu71JT5MDCIBnxEAhZ5xyWVs6kM+UkVHCzTwDAMxtZE6crarI9nqIoE8FsmBcelI50nGvTRVB3dqf1V45kCq9tStCfz2K6HzzSoLgswtiZKLOzfDT8BEZHdTwk3EREZcP7v//6P//3f/+W4444rHjv55JMJh8P867/+a0kTbuXl5cyfP/8TlyoZhsH111/P9ddfX7LXFRGRLY0fP55XX32VsWPH9jr+xBNPMGHChH6KaujxWSY+08AwIeQzyOYdwn4L2/FwAdfxCPpMHM8j4reIBLpvG2NhP5NGxbZIjjVUhmiq3rnkWDxTYOXaOKm/N2QI+LqXrbbEs3RlbSaNiinpJiKDkhJuIiIy4KTTaerq6rY4XltbW/IlpSIiMnDMnTuXiy66iGw2i+d5vPTSS/zyl7/kpptu4uc//3l/hzdkRAMW1WUB4hvz1MciNLenSLWn6VnEmcw6hPwG1VE/B46uJBb5R8IrFvZz0KgYqbyD7bj4LJNowNqpyraeveRSOZuGWLh4POS3aIiFWR/P0NyeYlJjrCSdyUVE9iQl3EREZMCZOnUq11xzDffff39x2WYmk+G6665TowIRkSHsG9/4BuFwmCuvvJJ0Os1XvvIVGhsbuf322znjjDP6O7who2d5aCJToCzUvYQ0X+huhpDK29iuR942cTwIWBaO621xflmw+1bS87ydTr717CVXFQn0OV4VCdDWlSeVd4qvJyIyWOhdS0REBpz58+fz+c9/ntGjR3PIIYcA8Le//Y1QKMSTTz7Zz9GJiMjuNGvWLGbNmkU6nSaZTFJbW9vfIQ1JPZVqq9tSrN6UJmEUSGQKBH0W9RE/0aAPn2WSydusXBvnoNGVWyzt3NW913r2kgv4+u7l57dMbNfDdvrujCoiMpAp4SYiIgPOQQcdxLvvvssDDzzAW2+9BcCZZ57JrFmzCIfD2zhbREQGq1WrVmHbNvvuuy+RSIRIJALAu+++i9/vZ9y4cf0b4BBjWSYNFSFOnFDL39Z0sC6eozxo4fMZ1ESCxCIBgpZJeyq/xdLOUuy91rOXXN52Cfm37G5acFx8poHP6jshJyIykCnhJiIiA86zzz7Lpz71Kc4777xex23b5tlnn+Uzn/lMP0UmIiK709e//nXOOecc9t13317HX3zxRX7+85/zzDPP9E9gQ1R7KscHm9J05Qqs7cwQz9ps7HIJ+U3SOYdUzsXnMxhZEey1tLNUe6/17CXXEs/2uk6PjnSehsoQ0cCWyTgZWnZlabLIQKWEm4iIDDjHH38869ev32IZUTwe5/jjj8dxnH6KTEREdqe//vWvfPrTn97i+NFHH82cOXP6IaKhK54p8E5rkg2JLOviaZrbM2TyNgXHw2+ZJLM26QqXWNjP+s4sdTGKSztLtfdaz15yXVmb9fEMVZEAfsuk4Lh0pPNEgz6aqqNKvAxxu7o0WWSg2qna3L322ou2trYtjnd2drLXXnvtclAiIjK8eZ7X5y/XbW1tRKPRfohIRET2BMMw6Orq2uJ4PB7XH1tKqKdCzbYdbM/j3Q0pkjkbyzIZUda9PDSZd1i9KYnneWTt7gSbaUAyZ9OWzNGVK+D39Z0I25G912JhP5NGxaiPhUjlbDYlc92Vc5Wh7VqWKoNbz9LklniWaNDHyPIg0aCPlniWlWvjxDOF/g5RZKftVIXbhx9+2OcHXi6XY+3atbsclIiIDE+nnXYa0H3D9fWvf51gMFgccxyH1157jU996lP9FZ6IiOxmn/nMZ7jpppv45S9/iWV1LyN0HIebbrqJY445pp+jGzp6KtRc1+PtlgSZnN3dwODvCTKfaWBg4LmwKZWnyXbIWCavr0uQK7gkczarNnYn6cbVlPWqYvPwiGfzZAs2Odvd6h/RNhcL+5nUWMHGZJ5swSHktxhZFsA0tXfbUFaqpckiA9UOJdwefvjh4tdPPvkksVis+NxxHJYsWaKNTEVEZKf1fK54nkd5eXmvBgmBQICjjz56i33dRERk6Lj55pv5zGc+w/7778+xxx4LwJ///GcSiQRPP/10P0c3dNiOS2e2wHutXXSk89SUBdmYzJHO23SkClgmRAI+RpQHaE/lSBdcHM+mJZ5ldFWEyoifZM5mdVsax4W9R3Yn3ZK57qWhqzaliIX9vLE2Tmt5cJtLA/taUtiqJYVDXqmWJosMVDv0r/bUU08FuisPZs+e3Wusp2vQrbfeWrLgRERkeLnnnnsAGDduHN/+9re3uXz0L3/5C5MnT+5VCSciIoPXxIkTee2117jzzjv529/+Rjgc5mtf+xpz5syhurq6v8MbMizToCOZoytTwDSM7m6glkFlJIDreaRzNgXbJZN38JsmlgmmadBYGSbkt/DwqK0IksgU+HBTEsuEMZUR3tmQZGNXjpHlAfavryBgmdvsWlqKbqcyONmOi+16BHx9VzLuyNJkkYFohxJurtv9D338+PEsW7aMESNG7JagRERkeLvmmmu2a96MGTN49dVXtX+oiMgQ0tjYyI033tjfYQwDBqYBmbxDMmf/PbnR3aE05PcR9BlYGIQDFnnbZa8RYcJ+q1jFlkgXyDsujuPx2ppO1nZkMQzYr66M+li4WJH0SUsDPc/jw01J2pI5RpQFcT0PAy0pHC58lonPNMjbLiH/lp1oC46LzzTwWVpaLIPTTtVlrlq1qtRxiIiI7DDP8/o7BBER2UWvvfYakyZNwjRNXnvttU+ce/DBB++hqIY2x/UIBkwSWZts3iaXd8gZDrbrkUhDwGcQDVhEQn6CfpNowMfo6gipvMP7G5Nk8jblIT/lYT9VET/vtHSRKzgcPraKUZXhLZJjW1sauD6e5ZXVneQdl9ZEFseFsqBFY2WYEWVBLSkc4qIBi+qyAC3xbK893Hp0pPM0VIaIBrZMxokMBjudKl6yZAn/8R//wTe+8Q3OOeecXo/tddddd3HwwQdTUVFBRUUFU6dO5fHHHy+OZ7NZLrroImpqaigrK+P000+ntbW11zWam5uZOXMmkUiE2tpaLrvsMmzb3tlvS0RERERE9qBDDz2UTZs2Fb8+7LDDOPTQQ7d4HHbYYTv9Gj/4wQ8wDINLLrmkeKxU9xrPPPMMhx9+OMFgkH322Yd77713i9dfsGAB48aNIxQKMWXKFF566aVe49sTSylZpkE8bZMpOMSiAUzDIGe7OJ6Hh0vGdohnbSwD9h4Zpakmit8yWB/PkMnbjCgLEfRZmIaBZZrU/T1Zkin03Um2r6WB8UyBFR91simZw2+ZpHM2rfEMf/uok2fe3sDKtXFytqslhUOYYRiMrYkSDfpYH8+QLTg4rke24LA+niEa9NFUHVV1owxaO5Vwu+666zjppJNYsmQJmzZtoqOjo9dje40ePZof/OAHLF++nJdffpkTTjiBU045hddffx2ASy+9lEceeYTf/OY3/OlPf2LdunXFDnbQ3ahh5syZ5PN5nn/+ee677z7uvfderr766p35tkREREREZA9btWoVI0eOLH79wQcfsGrVqi0eH3zwwU5df9myZfzkJz/ZojquFPcaq1atYubMmRx//PG8+uqrXHLJJXzjG9/gySefLM759a9/zdy5c7nmmmt45ZVXOOSQQ5g+fTobNmzY7lhKzfM82pNZCraLzzAI+A3CfpOgaRK0TEKWRXnQR0NlmNqKEGOqI7TEsyTSBcpDvfdTS2RsqqJ+RkQDbOzK9Zl0+/jSwJ7ulDnbpSzoY11nms6MTTTkZ1RVBM+Dd1uTvN0SJ1dwtKRwCIuF/UwaFaM+FiKVs9mUzHV3La0Maf8+GfR2qi534cKF3HvvvZx11lm79OJf+MIXej3//ve/z1133cULL7zA6NGj+cUvfsGiRYs44YQTgO7NtCdMmMALL7zA0UcfzR/+8AfeeOMNnnrqKerq6jj00EO54YYb+M53vsO1115LINB3txMRERERERkYxo4dC0ChUOC6667jqquuYvz48SW5djKZZNasWfzsZz/je9/7XvF4PB4vyb3GwoULGT9+fLFx3IQJE3juuee47bbbmD59OgDz5s3jvPPO4+yzzwa676Uee+wx7r77br773e9uVyyl1pW1sR0Xx3VpT+UwMKiO+snaULAd/D6LmqgPv2UST9mMqQqTyBTYmMwxqiqM63oUXJdExiYSsBhbE2Wd2d2d1HG33O7h40sDe7pT1lUEWbUpSWfapqk6UpxfGQmQLTis68xRXRYk4lfCbSiLhf0cNCpGKu9gOy4+yyQasFTZJoPeTr1z5fN5PvWpT5U0EMdx+NWvfkUqlWLq1KksX76cQqHAtGnTinMOOOAAmpqaWLp0KQBLly7loIMOoq6urjhn+vTpJBKJYpVcX3K5HIlEotdDREQGH/0iJiIydPj9fv7v//6vpNe86KKLmDlzZq97CqBk9xpLly7d4trTp08vXiOfz7N8+fJec0zTZNq0acU52xPLx+3q/YzneWRsF9czsB3oyhdY05FlY1eWrpxNV7ZASzxPwDQwze7P24NGVzKiLEhX1qYjkyebdxhZHmDv2jLKg35qyoJEgj42JXPbXBrY053SBfw+i8qIn85Mnrzj4noejufRmclTHQ10LzctaEnpUGcYBmVBH5WRAGVBn37HkyFhpxJu3/jGN1i0aFFJAlixYgVlZWUEg0EuuOACfve73zFx4kRaWloIBAJUVlb2ml9XV0dLSwsALS0tvT4Ae8Z7xrbmpptuIhaLFR9jxowpyfciIiJ7lpomiIgMLaeeeioPPfRQSa71q1/9ildeeYWbbrppi7FS3WtsbU4ikSCTybBp0yYcx+lzzubX2FYsH7er9zM+yySddVgXz5BxHFzbw/XA9SBve6RzDqlcgdZ4hkyhe8+6hliIw8dW0hALMbGhggmNFew9sqzYzKDguBzeVMXYmsg2lwb2dKfM5BwClsm4EVFiYT/5gkNXrkAmZ1MZCbB/XTkhn6U93ERkUNqpJaXZbJaf/vSnPPXUUxx88MH4/b3XVc+bN2+7r7X//vvz6quvEo/H+d///V9mz57Nn/70p50Ja7tdccUVzJ07t/g8kUgo6SYiMoCccMIJ/Pa3v93i5iORSHDqqafy9NNPA9DV1dUP0YmIyO6y7777cv311/OXv/yFI444gmg02mv84osv3q7rrFmzhm9961ssXryYUCi0O0LtV7t6P+M3IVUo0JXN4zgejgEhy8QDbMej4Hp4wJrOLAG/H891MQyDcSPKSOYckjmbqkgA1+tegtqRzhMN+pjYWEFFyLfNpYE93Sk/3JTCZxj4TIMx1RFytoPjdi9BHV0ZpiLsI53XHm4iMjjtVMLttdde49BDDwVg5cqVvcZ2tPQzEAiwzz77AHDEEUewbNkybr/9dr785S+Tz+fp7OzsdcPV2tpKfX09APX19Vt0+Onp5tMzpy/BYJBgMLhDcYqIyJ7zzDPPkM/ntziezWb585//3A8RiYjInvCLX/yCyspKli9fzvLly3uNGYax3Qm35cuXs2HDBg4//PDiMcdxePbZZ7nzzjt58sknS3KvUV9fv0U30dbWVioqKgiHw1iWhWVZfc7Z/BrbiuXjdvV+pjNjkym4VAT9JLMOeOBi4LouhgEBywDDxDQNEtkcf13TSXkkWNzg/sNNSdbFs+QKLkG/yajKEGNryopVbD1Vb1vT050ykSnQEs+SStrUV4QxMEjnbKrCAepjYTozhV57v4mIDCY7lXD74x//WOo4ilzXJZfLccQRR+D3+1myZAmnn346AG+//TbNzc1MnToVgKlTp/L973+fDRs2UFtbC8DixYupqKhg4sSJuy1GERHZPV577bXi12+88UavpTSO4/DEE08watSo/ghNRET2gFWrVpXkOieeeCIrVqzodezss8/mgAMO4Dvf+Q5jxowpyb3G1KlT+f3vf9/rdRYvXly8RiAQ4IgjjmDJkiWceuqpQPf9zpIlS5gzZw7Adt33lFrOdjANg1jET1s6h2WY5B0XDw+/2V3pBh4jon4iAT8bunI0t6eY1Bj7x0W8f/zv1nZ48Dxvq9VusbCfg0ZXYpkmrzR38MGmJBVhPyPKgtREA3RlC1vs/bazPikOEZHdZacSbqVyxRVXMGPGDJqamujq6mLRokU888wzPPnkk8RiMc4991zmzp1LdXU1FRUVfPOb32Tq1KnFTj0nnXQSEydO5KyzzuKWW26hpaWFK6+8kosuumjAVbB1ZQu8uyGJ7XpMrK+gLNSvP3oRkQHp0EMPxTAMDMModmrbXDgc5kc/+lE/RCYiIrvbCy+8wCOPPEI+n+fEE0/k85///E5fq7y8nEmTJvU6Fo1GqampKR4vxb3GBRdcwJ133snll1/OOeecw9NPP82DDz7IY489VnzduXPnMnv2bCZPnsxRRx3F/PnzSaVSxa6l23PfU2o+y6Is5CPhOICJ3w8uLu7fO4z6DPD7DGKRIIZhUBUJ0NaVZ308y6pNKVI5mxFlQQI+k7zt0prIkcw5vfZqi2cKrG5L0Z7MY7sePtOguizA2JpocU4s7OfovaoZWxNh1aYkiYyNz+xOhDVUhmiqjvba+21nbE8cMjApUSqD3U5lfY4//vhP/Ifes7fOtmzYsIGvfe1rrF+/nlgsxsEHH8yTTz7J5z73OQBuu+02TNPk9NNPJ5fLMX36dH784x8Xz7csi0cffZQLL7yQqVOnEo1GmT17Ntdff/3OfFu7zcq1cZ5+a0Pxj0AvftDGp/cZweFNVf0al4jIQLNq1So8z2OvvfbipZdeYuTIkcWxQCBAbW0tlqVlJSIiQ83//u//8uUvf5lwOIzf72fevHncfPPNfPvb395tr1mKe43x48fz2GOPcemll3L77bczevRofv7znzN9+vTinC9/+cts3LiRq6++mpaWFg499FCeeOKJXo0UthVLqdVXBBlZFqA1niXoM0nnbTBczL9Xt9meR5nfR65gU1sRJhrwkcjmWbUxSSrv0BALF68V8ls0xMKsj2eKVXCJrM3KtXFSf9/rrScx1xLP0pW1eyXmDMOgsTJMQyxU8uRKPFPY7jhkYFGiVIYCw9uJFm+XXnppr+eFQoFXX32VlStXMnv2bG6//faSBbgnJBIJYrEY8XicioqKHTr3lVde4YgjjmDugt8yet8Dtxhvbk/z0Ktr8bzuzj4GsC6eBeDkg+oJx5uZd9FpLF++vNceEyIig9muvK8ORfp5yGCQyWSYMWMGAI8//jjhcHgbZ4iUzhFHHMGRRx7JggULsCyLm266if/6r/+ivb29z/l6X+1tR38eruvyi+dW8dQbrXRlC6yPZ8nZLqYBnuthex4Bv0FlKMDksdXsW1dOOu9QFvKxf30FI8q2XE2ULTikcjZHjKti1aYULfFsr8Rcj/XxTHfn0sbYbq1W8jyPFWvj/R6H7LitJUp7mnMoUSp7Qik+Z3aqwu22227r8/i1115LMpncqUCGolzB4fEV6/E8OKC+nJMm1mEYBn96ZyOvrunkD6+3ckLdtq8jIjIcPPzww9s994tf/OJujERERPa0t99+m1//+tfFKuZ///d/5+qrr+61f5qUTrrg0lAZ5qjx1bzwQRuWaYDnUXA8PAMMoFDwSBoOrV056mIh6ipCbOjK8t6GLmzHoyLsI+z/RxWa3zKxXY9EpkB7Mk9VJNDna/csT03lnW02V9gVqbwzIOKQHeN5Hqvbupctb6uSUolSGehK+s7y1a9+laOOOoof/vCHpbzsoPXqmk6ytkt1NMCJB9QW3xCO3WcEm7pyfNSZ4Y24lkaJiADFzaS3xTAMHMfZvcGIiMgelU6ne1UQBAIBQqEQyWRSCbfdwHZcQj6LQ0ZXsqY9jet5tCVzbEjmcF0ImAY+C8pDFmva01gWVEeD2I7HW+sTtCSyjK4MUxnp7iZaFvRRcNzi/mu26xHwmX2+dk9iznbc3f49fjwOz/PIFBwc1+tOKjrubo9DdowSpTKUlPRf6NKlSwmFQqW85KCVsx3+uqYTgKPGVeOz/vFGb5oGn9lvJIteauajtIW/dq9+ilJEZOBwXf3CKyIynP385z+nrKys+Ny2be69915GjBhRPHbxxRf3R2hDjs8y8ZkGqYKDYUB50MemZI6QZWH6Ieu42J5BtuDi91m0Jwv88a0N1ET9BP0Wptd9T7OxK08q57B3bRld2QINlSEqwn58pkHedgn5tywu6EnMbX5/tDu/x544kjmblniGeLqA7Xk4rkfAMjlwlENlZLeGIjugr0Tp5vZUwlakFHYq4Xbaaaf1eu55HuvXr+fll1/mqquuKklgg93KtQlytktVxM++dWVbjI8sD7J/XTlvt3ZReexX+yFCEREREZGBoampiZ/97Ge9jtXX1/Pf//3fxeeGYSjhViLRgEV1WYD3P0iwpj3DuniGjlQOl+7lpI4HlgEmHn6fScgy6coWqKsIkMo5pApZasqDjCgL0prIsnJtJxMaKmiqjlIW9FFdFtjq3mkd6TwNlSGigd270qfne2yJZykP+Xl/Q5J03qEi7MNvmbTEMxgGfLAxSTTo055gA8THE6Uft6cStiKlsFMJt1gs1uu5aZrsv//+XH/99Zx00kklCWywe3N9AoDDm6owt7K2fMpe1bzd2kVkn6NoTdp7MjwRkQHnjjvu4PzzzycUCnHHHXd84lzdcImIDC0ffvhhf4cwrBiGQVU0QHuqwLrOFO3pArYLPgNcwHXAMyDlurhegaDPxPUM2lPdHSNdF97fmGRDMkdFyE/UMthrZFkxaTW2JkpX1mZ9PENVJIDfMik4/9j0vqk6utv33zIMg7E1URKZAivWdlKwXeoqwtiuS3sqRywSYO+R3ZV52hNs4Ng8UdqfCVuRUtiphNs999xT6jiGlE3JHG2pPJZhsG/tltVtPaoiAWpDLhuyJk+tSjPjM3swSBGRAea2225j1qxZhEKhrTbnAVU4iIgMF9lsVtvV7Cae59GRyhPyQSbvUvj73/4dAywTXAM8wHWhYLt4f1+CGc84+C2DkRVB9qktJ1dwCAUsKiNBIpslQGJhP5NGxVjdlqI92Z2k85kGDZUhmqqje6yaLBb2s9fIMt5t7QLTpDOTx2cYjCgPUl/RvfeczzS0J9gA0pMo7e+ErUgp7NI7yvLly3nzzTcBOPDAAznssMNKEtRg905rFwBjayIE+yiD3dz4MocNWZMlqzIUHBe/SmNFZJhatWpVn1+LiMjw4TgON954IwsXLqS1tZV33nmHvfbai6uuuopx48Zx7rnn9neIQ0Iq77CmLU1rMo8NRPxge9DdksgAPDwPTLqPJbIOFWE/5SEL2/UAg2jQorY8xLrONJ3pXHen083Ewn4OGhUjlXewHRefZRINWDuUKPE8b5fOB4gELEZXRSgL+/BcsCyju7sqvburak+wgWOgJGxFdtVOJdw2bNjAGWecwTPPPENlZSUAnZ2dHH/88fzqV79i5MiRpYxxUPE8j3dakwDsX1++zfmNYQ8n1UEnVTz91gamH1i/u0MUERERERmQvv/973Pfffdxyy23cN555xWPT5o0ifnz5yvhViIF22F9PEuu0L0fVsAfxPNcurKF7iWjHph/r3azHXDc7q6m0ZAPv2liOx624/3jgl7fSTDDMHa6aiyeKWyRcKkuCzC2ZscSLj7LxG+Z+AyTUEh7gg0WpUjYivS3nXr3++Y3v0lXVxevv/46EyZMAOCNN95g9uzZXHzxxfzyl78saZCDyaZknnimgM80GD8ius35pgHJ1/9I7KjTePS19Uq4iYgA55xzzieO33333XsoEhER2ZPuv/9+fvrTn3LiiSdywQUXFI8fcsghvPXWW/0Y2dCSdzzSeZuKSICQaZG3bQqegeeB5/59HzcPcMHvgxHlIcrDFqmcTdBnEg34cF2PjV05ykJ+qiJ+HNfb1stut3imwMq1cVI5m6pIgIDPJG+7tMSzdGVtJo2KbXfSTXuCiUh/2amE2xNPPMFTTz1VTLYBTJw4kQULFgz7pgmr21MAjKmObPfy0PRbzxE76jSefrOVbMHpsxuLiMhw0tHR0et5oVBg5cqVdHZ2csIJJ/RTVCIisrutXbuWffbZZ4vjrutSKBT6IaKhKWAZhIMWrutSFjFZ3da9mNRnGgQMD9fuTro5HowI+9h7RBhMk02JAtm8TdjnI+961JUHqYoEus8tUYWY53msbkuRytm9EmQhv0VDLMz6eGaHmhxoT7DBqVQVjiL9aacSbq7r4vdv+Y/c7/fjusN77XtzexqAMVVb/vVka/Lr32FExGRT2uHZdzZykqrcRGSY+93vfrfFMdd1ufDCC9l77737ISIREdkTJk6cyJ///GfGjh3b6/j//u//ar/oEvL7upNX72cKZAsentvdJMHxPFy6927z6O5a6jMtsgUPx3PYtzZKPGszpibMIaMriAb8tCSy210htj17sqXyDu3JfDGR93FVkcAONznQnmCDSykrHEX6004l3E444QS+9a1v8ctf/pLGxkag+69Rl156KSeeeGJJAxxMbMdlXWcWgKbqyA6de/SoMI++m+L3K9Yr4SYi0gfTNJk7dy7HHXccl19+eX+HIyIiu8HVV1/N7NmzWbt2La7r8tvf/pa3336b+++/n0cffbS/wxsyogGLmmiQv3Tl8DwoC/nIFhxcz+vOtBkQMMHvM0gXHDoz3dWF725wGFcToSwYoGBDSza73RVi21uxZDsutusR8PVdMbezTQ60J9jgUOoKR5H+tFN1v3feeSeJRIJx48ax9957s/feezN+/HgSiQQ/+tGPSh3joLEunsVxPaJBi+po33+R2ZpPjelueb7kzQ3k7eFdJSgisjXvv/8+tm33dxgiIrKbnHLKKTzyyCM89dRTRKNRrr76at58800eeeQRPve5z/V3eEOKhweeh2Ua1JUHGVsTobYiRHUkQCRoEfGbBEwLPI9owKIy7Mf2XNYlsrTE0ySyBRoqQ59YbeR5HsmcTXNbkj+/s5H3WrswTKgp82OY8P6GJMs+bCeezhfP8VkmPtPY6j3RrjQ56GniUBkJUBb0KWEzAO1IhaPIQLdTFW5jxozhlVde4amnnipuXjphwgSmTZtW0uAGm57lpE3VkR1+896vxk9NNEBbKs/y1R1M3btmd4QoIjIozJ07t9dzz/NYv349jz32GLNnz+6nqEREZE849thjWbx4cX+HMaSl8g75gst+DeUs+7AT0zQJ+kx8lkXB75DvcnFcj7DfoOAamJZJWdhPecRPSzxLeyrPfnVR9q2r2Op9T09FW/OmFK80d7IpmWVERYjydh+mAQHLwu8z+WBTiq5MgeMPqKUyElCTg2Fud1U4ivSHHUq4Pf3008yZM4cXXniBiooKPve5zxX/0hSPxznwwANZuHAhxx577G4JdqD7qOPvCbeqHVtOCmAaBp/dbyS//etannl7gxJuIjKs/fWvf+313DRNRo4cya233rrNDqYiIiLyyXqSGnuNKKO+MsjGRI6Q30ch5+C5YBlgWCa5gotlGmRyNiOiQcJ+i3TIpStb4J2WJHWxSJ/VbT17cG1IZFjdnqYtnScWDpDNFVjXmSVgGdSWBxk3ooyA1Z10K/+wgyPHVxML+wd1k4Pt2adOtm7zCse+mgnuSoWjyJ62Qwm3+fPnc95551FRUbHFWCwW49/+7d+YN2/esEy4OR5s7MoB0FC5/Q0TNnfcAbV/T7ht5IqTJ2z7BBGRIeqPf/xjf4cgIiJ7SFVV1XYnJNrb23dzNMNDT1IjnXeoLQ+xrjPDOy1dYNCdYLNtHBcCPoPKcBi/zySVtbFdl/KQDzwf8Wyhz720evbg2pDIsKY9w4cb06RyBQzPI1twSRccaqrDOC60J3M0VoaJhf10bXa9wdrkQJ01d50qHGUo2aGE29/+9jduvvnmrY6fdNJJ/PCHP9zloAajjryB60EkYFER2qmVunxm3xGYBrzd2sXazgyjdjJxJyIyVGzYsIG3334bgP3335/a2tp+jkhEREpt/vz5/R3CsBMNWAT8Jq+u6SAcsKgI+YlnCti2R6bgUHAg5DeI+PxE/SaO69GZzTM2GiUa9FOwHUaUBfvsFprKO6xpS9MSz7G2M0N11I+Hh+t6dKTz+H0mnakCo6t9JLM2qZyNzzCojgb4qCNDdSRALBKgIuQbVE0O1FmzNAzDGNQVjiKb26HMUGtrK37/1t8kfD4fGzdu3OWgBqP2XPd/8PUVoZ3+j78yEuCwpiqWr+7gmbc3MGvK2G2fJCIyBCUSCS666CJ++ctf4rrde3RYlsWXv/xlFixYQCwW6+cIRUSkVLQ3Z/8w6L5nKdguLlAR9GOEoVBwSeVsXMPDxsXxPEwDbAdc16M9lWOf2jJGlgdpTxW22EurYDusj2fJ2Q5lIR/lwe4OqBu68liWge24dOUKQBgHj3imwIjyIBsSWT7qyJAruFSG/YOqMkydNUtrsFY4inzcDi18HjVqFCtXrtzq+GuvvUZDQ8MuBzUYteW6f5QNsdAuXeez+40E4C/vbdrlmEREBqvzzjuPF198kccee4zOzk46Ozt59NFHefnll/m3f/u3kr/e2rVr+epXv0pNTQ3hcJiDDjqIl19+uTjueR5XX301DQ0NhMNhpk2bxrvvvlvyOERE5B+y2SyJRKLXQ0ojlXfIFRz2qysn77i4rkc8W2BjV56unIMD5Asu2bxDpuAABhjQ3JYmW3AZWxPFcelzL62845HO20QDfkygM10gmXOIZ/Ns6sqRSBdoT+XoSOdJZm1MwySVc9jQlSMS9FFXESQa9NESz7JybZx4ptAfP6Idos6apRcL+zloVIzJ46uZPK6KyeOri8uNRQaLHUq4nXzyyVx11VVks9ktxjKZDNdccw3/9E//VLLgBpP2fPdfKvpaZ74jepolvPBBO57n7XJcIiKD0aOPPsrdd9/N9OnTqaiooKKigunTp/Ozn/2MRx55pKSv1dHRwac//Wn8fj+PP/44b7zxBrfeeitVVVXFObfccgt33HEHCxcu5MUXXyQajTJ9+vQ+Pw9FRGTnpVIp5syZQ21tLdFolKqqql4PKY2epgkFxy12HbUdF78FZUGTkN/E87or2tqSeT7qyJDM2NSU+WmqDuN63ZVuNeWBLfbSClgG4aBFOp+nI11gxdo46xIZ8AxMwyCZK5DNu6ztyDAiGqAy4gM8/JZFbXmQaMBXrAxLZgu83dJFRypHMmcP2PujgdRZ0/M8kjmbznR+QP/MtodhGJQFfVRGApQFfaoOlEFnh5aUXnnllfz2t79lv/32Y86cOey///4AvPXWWyxYsADHcfjP//zP3RLoQGZVjCTrGJgG1FYEd+lah4yuJOy3aE/leac1yf715SWKUkRk8Kipqelz2WgsFiv5DdfNN9/MmDFjuOeee4rHxo8fX/za8zzmz5/PlVdeySmnnALA/fffT11dHQ899BBnnHFGSeMRERnOLr/8cv74xz9y1113cdZZZ7FgwQLWrl3LT37yE37wgx/0d3hDhs8yydoO727oYm1HGttxqYgESOdtEnkHx/Hw+0xc18UwoL4iwN4jygkGLQqOy5trExy1d02fe2n5fRaV4QAfbkyxIZHDcT1wPXK2Szpnk3M9goZBedBHVdRPMlMgY7tEgz5i4X9UiCVzNu3pPG+3dLEhkaUs6Buwy0wHSmdNNW0QGVh26L/4uro6nn/+eSZNmsQVV1zBl770Jb70pS/xH//xH0yaNInnnnuOurq63RXrgBVs2A+AEWVB/Lv4JhrwmUwe130zufR9LSsVkeHpyiuvZO7cubS0tBSPtbS0cNlll3HVVVeV9LUefvhhJk+ezL/8y79QW1vLYYcdxs9+9rPi+KpVq2hpaWHatGnFY7FYjClTprB06dI+r5nL5bQMSkRkJzzyyCP8+Mc/5vTTT8fn83Hsscdy5ZVXcuONN/LAAw/0d3hDRsRvkrcdmtvSZArdy0a7sja27eEUXHIFl5zjYhrdSaJxI8qpiATwmyaZQve+bvvV9p3ECfsMCo5DwXEJBbrvjTrTBbqyNoYJBmDgYZnw3sYU725Kkso75G2X5rYU729M0prI8v7GJIlMAZ9lUhnxD+hlpj2dNTvS+T7HO9L5PqsBS6mnaUNLPEs06GNk+eBbmisy1OxwO82xY8fy+9//no6ODt577z08z2Pfffcd1iXegbq9Aagt37Xqth5H71XDn9/dxAsftPP1T4/f9gkiIkPAYYcd1uuv5O+++y5NTU00NTUB0NzcTDAYZOPGjSXdx+2DDz7grrvuYu7cufzHf/wHy5Yt4+KLLyYQCDB79uxi0u/jf1Cqq6vrlRDc3E033cR1111XshhFRIaL9vZ29tprLwAqKipob28H4JhjjuHCCy/sz9CGlHTBxXE8cgWHnO1iOy6m27300HY9PA88F1zLIOwzGVURor4qguN6ZAo26ZxN0L/lrWQ8U+DNdXE+2JAimbNpbktTcB3C/u7Em+NByO8jGuju4NmVsamJ+qkrDxAK+HBdjw2JLG+3dhENWIwsD5HNO/gtc0A3IOjvzppq2iAyMO1wwq1HVVUVRx55ZCljGbR6Em4jS5hwA3hhVRuu62GaelMUkaHv1FNP7ZfXdV2XyZMnc+ONNwLdib+VK1eycOHCne6cd8UVVzB37tzi80QiwZgxY0oSr4jIULbXXnuxatUqmpqaOOCAA3jwwQc56qijeOSRR6isrOzv8IaMgu0Qz9jUlHVXrRX+vgeZYRj05GNcFzzPBc/F9BnFpZKpfIFoyEfA6n2PEs8UePGDNt5cF2djMo8LJDJ5sgWXaMBHZTRAZdCH32eSydtsTBbwmwUaYkHe25iiLOjDNAwCfoPWeJbRVWHi6QK1FUHCmy3T3LwBQVlwp29nS64/O2vuSNOGgfQzExnq9F/bLvI8j0Bd91/hSpVwO3h0jEjAojNd4K2WLiY2VpTkuiIiA9k111yzw+f88pe/5Itf/CLRaHSnX7ehoYGJEyf2OjZhwgT+7//+D4D6+noAWltbe3Xibm1t5dBDD+3zmsFgkGCwNJ8JIiLDydlnn83f/vY3PvvZz/Ld736XL3zhC9x5550UCgXmzZvX3+ENGT2dREeWhQj4TLIFuvds88B2PEyjuxotW4CABZmsTSJTIGc73c0NKoL4ff9Ignmex+vr4ry6poNExiaVsynYNgXXBdPAsAz8lkFFyIcDuK5FPJMDXDzPozzsx7ZdPAPWt+do6cqSLTgcNCpGXUWoV1XWnmxAsKN6Omum8g624+KzTKIBa7dXlQ2kpg0ydHiet8f/LQ81Srjtoo6sixWtAjxGlJXm5spvmUweV82z72zkhQ/alHATEdmKf/u3f2PKlCnF5Uc749Of/jRvv/12r2PvvPMOY8eOBbobKNTX17NkyZJigi2RSPDiiy9qeZOISIldeumlxa+nTZvGW2+9xfLly9lnn304+OCD+zGyoaWnk2hrZ56QzyRpQM52cf7e0NLzwKP7ZrHgOLy0up290wXG1ISpCYUYWxPptR9ZMmfz6uoONiVzRAI+KkI+WrsK+HwWlueRyzt0mgUqI36yttu9igcPD4OaihABn8UHG7poTeToTOXZ0JWjI+hjdFWE1kS22K0S9lwDgp21eax7ykBp2iBDhxpwlIb+i9tFH3R0bz5Z7vd2uWHC5qb+fVnp0g/aSnZNEZGhphSt7i+99FJeeOEFbrzxRt577z0WLVrET3/6Uy666CKg+xfnSy65hO9973s8/PDDrFixgq997Ws0Njb22zJYEZGhZunSpTz66KO9jt1///0cd9xxXHDBBdx5553kcrl+im7o8fu69/Yq2N0VLI4HeQcKbvfD+fs8w4RIwEdteYiykI9U1qY9mcc0upcx9nwOx9N5mtvT4EHedsnbLpm8R8HuztyZlkEya7OxK4+BwYiyAJYB0ZAPz4W2ZB7oXrY6ojxIY1UI8EjmCnzUkeH9DUmSORvobkBQXebH8zw603mSObskvw8MZgOhaYMMHWrAUTqqcNtFPQm3Sn9p3+Sn7t2dcHtpVbv2cRMR2Y2OPPJIfve733HFFVdw/fXXM378eObPn8+sWbOKcy6//HJSqRTnn38+nZ2dHHPMMTzxxBOEQqF+jFxEZOi4/vrrOe644/inf/onAFasWMG5557L17/+dSZOnMgtt9xCY2Mj1157bf8GOkREAxbV0QDJfJ5cwSZrd1e09ej52nEhV3AwDZeunEN9eZCubIGl77ezIZ6jpjxIU3WETck8G5NZfKZJwGcSCfkYbYVJZPJ0Zgt4nodlQG1FiDFV4e5r+iwqgn5SeZtsvjvFZxkGlWXdS0hNw6Qra5O3XZK5As1tKSojfgzDIJVzWf5hxx6rvBnoS+v6u2mDDB1qwFFaSrjtolWdf0+4BUqbcJvUWEFZ0Ec8U+CN9QkmjYqV9PoiIvIP//RP/1S8yeuLYRhcf/31XH/99XswKhGR4ePVV1/lhhtuKD7/1a9+xZQpU/jZz34GwOjRo7nmmmuUcCuhVM7mo44s6bzH1u5kbA8czyNvuzjZPCMifkaWBzHwsEyTDzYm+duaTjzXpS2Zx3ZgdHWYoAtlAR9jR5RhdabpTOWwTJOIHwquh2UZNMRCVEUCbOrKURb0k845+CyDRLZAyG9RGfFTEfLRnsphmSFaE1lGVgSxHY+ubIGqSICAr7vbaUs8S1fWZtKo2Ccm3XYmcTZYltb1Z9MGGTrUgKO09BPaRas6u0ubS51w81kmR46r4o9vd+/jpoSbiIiIiAxVHR0d1NXVFZ//6U9/YsaMGcXnRx55JGvWrOmP0IakZM7m5Q/bWdeWwt7G3Eze4811Xfj9FoYHqYKD3zIZURYkmXVY15mlMuynKuKnI1NgUzJHpuAwIhqkPGgR8lkYGJhApuDgz9nEIj4mNXY3ilsfz5KzHbpyeUI+i3DAwjJNGipCNFaF2dCVY+8RZeQdl4BlYDter8qboM8kFvazrjPDWxYcObYa09xyq5+dSZz1LK1L5eydSvDtaf3VtGFPGeiVhkOBGnCUlvZw2wWe5/HF/aIkX1tc8oQb/GNZ6QsftJf82iIiIiIiA0VdXR2rVq0CIJ/P88orr3D00UcXx7u6uvD7B05iY7DrSOV4tbmDrL2tdFv3fm6dGRvX696rrbUrS3sqz2sfxWlP5RlbE8F2HWorwlRHAoT9JolMgdXtKdZ2pEnnCvgtk/Kwj4pwkMbKMA2xME01EWorQkQCFpXhAAGfRd526UgX6Mra5GyXZNYh6vcRDlr4fSZdWadX5U0yZ/P+xiRvrkuwPp7lxffbWfZhxxZ7TO3MnlQfX1oX8luYhlFcWpfK2TS3pwbc/nE9TRsqIwHKgr4hk5CKZwqsWBvn5VXtvPxhBy+vameF9hMruc0bcPRFDTh2jCrcdoFhGJy8b5SrHr+dwD99dpeu9eabb25xrDzXvenlSx9sZPny5X2+WY4YMYKmpqZdem0RkcFq7NixugETERkCTj75ZL773e9y880389BDDxGJRDj22GOL46+99hp77713P0Y4tKztzNKeKuAZBmx1QenmPCIBCwyTDfEc40ZYdOUKRAIWlmGAYVBXEQIM1namcByXjlR3IiTgN9ivrozqaJCRsRBV4QAHNJTTlsoT8htURgK89lEHOdsFD+orgkRDfjK2y7sbupg0KkY271AZ8pPM2cXKm2TO5v0NSdJ5h4qwj0jQx6ZkjnWdGWzXK1af7eyeVFpaN3AMtkrDwaynAUdLPNvrv5ceHek8DZUhNeDYTnpn6GeJ9o0AfPWrX91y0PLRdMmDJAhw9Oe+iN2xbosp4UiEt958U0k3ERlS1qxZg2EYjB49GoCXXnqJRYsWMXHiRM4///zivJUrV/ZXiCIiUkI33HADp512Gp/97GcpKyvjvvvuIxD4R6Lj7rvv5qSTTurHCIcWA5eC4+JsV7INTKu7ssUwPAI+g3TOJuQPkCm4pPM2Eb9F2O9jXWeGypCfguORczyCPpNowAeGwciKEPuMLOOj9gzLV3cQ9FmkcgVMEwKWxfiaELbjYRjdzRMKXvfStrZknqbqCGNHRHmnpYu87RL0mbTEM6TzDiPLgwDkbIeI36KxKkw8XSgm0XY2caaldQODNvHfs9SAo7SUcOtnmWQCgJn/9p/sf/ARW4w/0+qjLQdf/O6PGVfW+828tfl9Hrj5MjZt2qSEm4gMKV/5ylc4//zzOeuss2hpaeFzn/scBx54IA888AAtLS1cffXV/R2iiIiU0IgRI3j22WeJx+OUlZVhWb2rJ37zm99QVlbWT9ENPdGgv3vZWGH7Em75AnSkClRFA1RHgqQLDuWOR852iGcKjK4Ok847BHwmActPquDiNw0sA6JBHy7dN+fpnE1bKks8Y3NAfTkBX3fSqqEyRN7xiIZMUlmbrmyBUMCisTJMechir5FlNMRCbErmaIlniYX9xNMFKsL/uJ3tyhYYUR4k7LcwI0YxibazibPNl9aF/FtW82hp3Z6hSsM9Tw04Skf/IgeImsaxjN73wC2OjzM20ba6g2yomtH71vVxpojI0LNy5UqOOuooAB588EEmTZrEX/7yF/7whz9wwQUXKOEmIjJExWJ9Nwqrrq7ew5EMbfXlAcKBnmYGHp9Uo2VA91wTWuNZEhkHvwk+06TVzlFXEaQyEiCRTjOmKsL7G7pojWcJ+0w8IOD30RgLkswUeK0rR3sqB4ZB86Y0lgWV0SDjaspoS+YoD/sYMy6M7YLfMjANg2TWJvL3zfF7Km/WdWZIFxwiQV93w4VsgXDAR31FGAOjVxJtZxNnWlo3MKjSsH8M9QYce4oSbgNcYyzEcmB9Z7a/QxER2WMKhQLBYPcSkaeeeoovfvGLABxwwAGsX7++P0MbtDzPI5vVZ4ls3eb/PvRvRbYlFArpxmsQ68p7jKgIEs/kyXfmyH9CoVvIB5VhP+mCi4dBIttdbRTymXh+k2TWIZ2zSeQKxDMFCq5LQyxEQ2WIdM6hM1OgLV0gmSmAARUhP6Zp4OJhYdKRyhENWAR8JvGMzfgRFrG/V65lCja255HK2fgsk4qQj0mjYrxpwpr2NJuSOcI+k7KQjxHREKbR/Xm3eRJtZxNnO7q0Th00S+PjP0fLNFRp2E96GnDIztNPb4Crj4UAaE/nyRacPt9kRESGmgMPPJCFCxcyc+ZMFi9ezA033ADAunXrqKmp6efoBqdsNsuMGTP6OwwZJL70pS/1dwgywD3++OOEw1smL2RwMA2IhfzURIMkMjZGziHXR9ItbHZXmiVzTvc5QYuUbeC3DMaNCNNUHaUlkWVNe5qP2tNkCw6jKiMUyrqrkuorAximwapNKVzXpa4iSCZvYxom1ZEA9bEgK9Ym2NDVzqjKCJm8Q1nQYu+R5QC89lEHngfZfPd9UGNliHEjyjhqXDUGBu9vSGKY3eOrcyl8hkEs4scwYO/asmLSa2f3pOpZWvfhpiTr4llyBZeg32RUZYixNWXFpXXxTGGL5XfVZQHG1mj53Y7o6+dYFfUT9FvdiVFVGsogozTwABcJ+KiMdL9Jr4/rr80iMjzcfPPN/OQnP+G4447jzDPP5JBDDgHg4YcfLi41FRER2Zq77rqLgw8+mIqKCioqKpg6dSqPP/54cTybzXLRRRdRU1NDWVkZp59+Oq2trb2u0dzczMyZM4lEItTW1nLZZZdh23avOc888wyHH344wWCQffbZh3vvvXeLWBYsWMC4ceMIhUJMmTKFl156qdf49sRSaiG/1V05ZJmUhfxUlQWI+MAyPnaDaECu4JHOF7orzQoOYb9F3nZpbk/z6po4LZ0Z3tuQJF2wMQyDnOOSdzySOYfOdJ7yoA8DD9t1WRvP0ZbKY1kG6YLNO60pfKaB4Zmk8w6WZdKeyvPK6nYWv7GeD9vS5GyXTckcze1pXlzVzosftNGVc2isCtOVs2luy2CZZrFy7p3WJK2JHJWRQDGJ1pM4q4+FSOVsNiVz3ZvwV4a2v8Ol94//9TZLTvZ00GyJZ4kGfYwsDxIN+miJZ1m5Nk48UyjV/21D2tZ+jq2JHF3Z7p/h+niGbMHBcT2yBYf18Yw28ZcBTRVug0BDLERnusD6eIbxI6L9HY6IyG7leR577bUXzc3N2LZNVVVVcez8888nEon0Y3RDQ/LQM/FM/QogH+N54P49mWB2dxUU2Zzh2pS9+sv+DmO7jB49mh/84Afsu+++eJ7HfffdxymnnMJf//pXDjzwQC699FIee+wxfvOb3xCLxZgzZw6nnXYaf/nLXwBwHIeZM2dSX1/P888/z/r16/na176G3+/nxhtvBGDVqlXMnDmTCy64gAceeIAlS5bwjW98g4aGBqZPnw7Ar3/9a+bOncvChQuZMmUK8+fPZ/r06bz99tvU1tYCbDOW3SESsIgEfbhedxVR1vawTBPTdXE2SyblHQj5DYJ+k9qyIEGfSVfWxjO6Gy/Ux4LEMwX+tiYBhsf+tVE8zyMcsLBdj1TeptMuELAM/KafSNCiKhJgdFWYlniW9lSeykiAWNSHZfL3bqcWr69LkCk4HNhQQW1FqFiRlsjYvLk+QVnIIhrwUVcRYmR5kES6QCJbwGcY7FdfhoFBZzrP6Mpwr6Tbju5J1ZMESuVsRpQFCfhM8rZLayJHMucwqbGC1e1pddDcRdvTibQ87CPit+hIFbSJ/xA21JZm67ftQaAxFubN9V2s0z5uIjIMeJ7HPvvsw+uvv86+++7ba2zcuHH9E9QQ45k+sPTLqfSl7y5wIvCPAp/B4Atf+EKv59///ve56667eOGFFxg9ejS/+MUvWLRoESeccAIA99xzDxMmTOCFF17g6KOP5g9/+ANvvPEGTz31FHV1dRx66KHccMMNfOc73+Haa68lEAiwcOFCxo8fz6233grAhAkTeO6557jtttuKCbd58+Zx3nnncfbZZwOwcOFCHnvsMe6++26++93vEo/HtxnL7uC4HrGgn/Kgj850gXzBJm97OC5bNFDwmQZ+06QsaJGxXRI5h1jYRzrnsLErRzbvUhXxkcm75B1oCPtJ5xzCARPHNagtCxLymziOx8FjKtmUzNOWLpDOO1SXBUlkCniex5HjK9lnZAzXc1m9KYUJjCwPEvR1LxUM+ixGllus63RYsSbOmJoIoyrDBP0mmYKD43hYlkHYb/H/s/fnUZad5Xk3/Hv2vM9cU1f1PGgWkhCIQW1ijLGMYpPBQV/iJDaIIf5eFIkVkFeM8Ud4bRwsG68YvIIwTkywnc98GOc1dkAEkMUgBgkJiUFjS+qpeqi56ox7fp7n+2NXHVV1V4/q7lK19m+tkrrOefbe997n1OneV133fcWpWjW58nRmUi3d8KeZ5JmpLt0oZVPj+V/2LReB9kx16UVpkaD5AjmdJNJenOXC5QZx0YgxBSu5GFuzi5bSdcDGxTluU+0IqdbTP3UKCgoKzhzDMLjsssuYm5tb61IKCgoKCi4CpJR87nOfo9frsXv3bh555BHSNOWmm27qr7nyyivZtm0bDzzwAAAPPPAA1157LaOjo/01N998M+12myeeeKK/Zvk+ltYs7SNJEh555JEVawzD4KabbuqvOZ1aViOOY9rt9oqvMyGReerjpRsqZFIRppp4FbFNApnSKA2HFyJmujG+Lai4No5p0ApSDi4E1D2bjQ2XqXaMYxlsGvDZOVzm6k11BiseGo3vmliGRghNGKXMdCLaQUyUZpRdk0tGaoxUXQSCVGnKntV322mtidKMXpJRcizmegntMMWxDASCkm1R9WxKtnVcSumZ0ApTHjvS4gf75/nuc3N8f98c80FCN86OWztQcphuh/QSWSRovkBON4lUKk3FtWiUHCquVYhtFxEXa2t2IbitAwbLDq6Vf8jMdOO1LqegoKDgvPP7v//7/Mf/+B95/PHH17qUgoKCgoJ1ymOPPUalUsF1Xd797nfzhS98gauvvprJyUkcx6HRaKxYPzo6yuTkJACTk5MrxLal55eeO9madrtNGIbMzs4ipVx1zfJ9nKqW1bjrrruo1+v9r61bt57eRVnEMQXCgMMLAUGUYgpYTboQ5DPculFKM0qJM5ULW46JFrkgp1UuiKGhHab85HCbg7MBs52YTGqOLIRIBfOdmL9++DBf/slRvrdvjudmAp6c6JCkkrJjodTzB5VSYwiBKSBIMg4vBOyf6bF/tsv+uR5z3ZhUapJsdSHrbJIrj73hb5RsLNOgE6bsnekeJ7rZptF3fZ7LOl6KWKbRTyJdjeI6Xtwc21Ls2SaGEH03aS/OGJ/v5Z8z64ziHbsOEEL0XW4TzXCNqykoKCg4/7ztbW/joYce4uUvfzm+7zM4OLjiq6CgoKCg4FRcccUV/OhHP+L73/8+t912G7feeitPPvnkWpd1TvjABz5Aq9Xqfx06dOiMtrdMgyxTHGmFtBOJUnnLsCC/QRSAufhnBFimwDUNfMsklZpUKbJM0fBsGiWL/fMhh+YDHBOGSxaJkhxuhjx5tEWQZKA1092EMJEonYczWALiTDIXpMx2Yw7OdZnpRmitkWjk4jy5wwshC0GKY5tUPZskk5iGIEolR05wb7QQJAxVndNOrlztht82DUq2Sc13CJOMyXaIXtZYnUpFxbUYrjosBMk5qeOlStkxGawU1/Glyum0FC+1Zq83ikbydcLGhs+BuYCJVsQr1rqYgoKCgvPMxz/+8bUuoaCgoKBgneM4DpdeeikAN9xwAw8//DB//Md/zC//8i+TJAnNZnOFs2xqaoqxsTEAxsbGjksTXUoOXb7m2DTRqakparUavu9jmiamaa66Zvk+TlXLariui+u6Z3A1VqK1Zj5ISDONALQAQ+dCmxAgc8Ma5qLtzTINfNtk84DPbDel6piM1T0Wgph9Mx3mugmGIXBsk0wrtg9V2Dzgc3AuZKRsMdFK6UYpQ1WXKJF4rkkYZygNzSBlthNzcLbLkYUQ1xKAoBWm/ORwE8cUDFc8MqVphymmMLhuWw3fNujGKUebAYNltx+ssBAkZ5xcudoNv2+b1Es2M52Emm/T6qWEDUnJzm+hF4KEjQ2PrQMlnjjaZqIVMlByXlAdZ8PFMGReCMH2oTKdKFuz61iwdpxuS/F6bM0uBLd1wqZFh9vRVojWuviwKSgouKi59dZb17qEgoKCgoKLDKUUcRxzww03YNs29913H7fccgsAe/bsYXx8nN27dwOwe/duPvKRjzA9Pd1PE7333nup1WpcffXV/TVf/vKXVxzj3nvv7e/DcRxuuOEG7rvvPn7pl36pX8N9993HHXfcAXBatZwP2mFKN5ZUXQvLEEilWfKOLHVtaUBpMIz8D0vfo2HfXI9mmDLZiWj2EjIJjqVxTJu5bkqYduhEGUJALzGYaEcYAqbbEY5lggDbNIkzSc23mOnGTHRcKq7F5obPxprBM1NdDsy1GK16KMA1DDBgx3CJncMVLEMw3Y5oLA7UfyHJlavd8AshGKv79GJJK0yRSpOmigi5QgSq+zbXbK4fN+z9QiRoXkxD5tfyOhasLctbij37eBfjem4pLgS3dcJozcv/woolnSijVnzgFBQUvESIoogkWdliUKvV1qiagoKCgoL1wAc+8AF+4Rd+gW3bttHpdPjsZz/LN7/5Tb761a9Sr9d517vexZ133sng4CC1Wo33vOc97N69u58K+qY3vYmrr76at771rXz0ox9lcnKSD37wg9x+++19Z9m73/1uPvGJT/Abv/EbvPOd7+TrX/86n//857nnnnv6ddx5553ceuutvOpVr+I1r3kNH//4x+n1ev3U0tOp5XwQpAqlNIMlG8MQRNnzgtty9NJ/DLBNgWOAbcJcL8tntKncIefZBjXPwjFNlNYsBCllx2S0anOkGRAlkpGqw2wvRS861QxhUHINGl4+v21rw6ebZjimwWjdo152+N6zs2RakySSDUMu2wfLjNV9Kq6FVBrXNrl8tIJtmS/I4XWiG/6ya7JpwOPATI9OlDIfJNQ8+zgRqO7bXLu5fkGdZksz53pxxkDJwbEMkkwx2YroRBnXbK6vO5FqLa5jwdqz1FI82YrYWPePe37JTboeW4oLwW2dYJsGIxWX6U7MRCsqBLeCgoKLml6vx/vf/34+//nPr5pWKuX6m+FQUFBQUHDhmJ6e5m1vexsTExPU63Wuu+46vvrVr/LzP//zAHzsYx/DMAxuueUW4jjm5ptv5pOf/GR/e9M0+dKXvsRtt93G7t27KZfL3HrrrXz4wx/ur9m5cyf33HMP73vf+/jjP/5jtmzZwp/92Z9x880399f88i//MjMzM3zoQx9icnKS66+/nq985SsrghROVcv5oGQbSK051IoxhYE4Lp80RwGeCXXfA63YO9Mj04DWpFIjBNiWwVDFQylFqhWOIbANmGpFWIYgkwrfMZFaYAhIlEYBQZISZwZhmrtXukmGIQQbah6uZVLzNDuHyqRaUy/ZjFY9dg2XMYzc5bLkerEtk4p79re1Wmu0zt1tE62QHcNlBIJunHG0GTDTTZhqhTTKDgMli0s2VNlY944TgYQQJ6zjXLd9HjtzbomlIfMTrZDx+R7XbKqvO7HqZNex4OLkYm4pLt7J64hNDZ/pTszRVsgVY9W1LqegoKDgvPEbv/EbfOMb3+BP/uRPeOtb38rdd9/NkSNH+NM//VN+//d/f63LKygoKCh4kfPpT3/6pM97nsfdd9/N3XfffcI127dvP65l9Fje8IY38MMf/vCka+64445+C+nZ1nKuqXoWSapoBTGmCcIAQ7Kq7JYpaIcxrm2iyMWeTCmUAsvM2zHbQULJs0DnbadCCDpxxpGFkKGKTcW1mWhFmKZBLDWWKXBMA6Vzt9to1WWqHXHlaBV3sa3TtUwaZZsjzYjhskucKqJMUXIMtNZMtEKGqw5KKTpR3vJ5pmLW8pbMdpRyeD5kshWxecDn8ELAofmQKJY4joFQ8NRElzDVlF3rtN1j56Pt80yGzBfiVcF64GJtKS5++tYRG+sePzoEE61orUspKCgoOK988Ytf5C//8i95wxvewDve8Q5++qd/mksvvZTt27fzV3/1V/zKr/zKWpdYUFBQUFCwbgkSiVQK3zbpRBnZCcQ2yAW3biQJU8lyL1wGIPOQhUBnWIZAobEtA9AYAhzbwDAMpAaBJkxSpFqcDScMMpW71Gq+nYc0GMtmqCGo+w5zvZRunGIZectkmMQ8M90hlZpekrFnogMIhioONc8+bTHr2JbMgXK+/Z6pNvc/M0MrzKj7FhsHPEZrPpYp6EQpT020qXo2N+4aPKWwd77aPi/mIfMFL10uxpbi9Td17iXMxsXghNlOTJIVH54FBQUXL/Pz8+zatQvI57XNz88D8I/+0T/i/vvvX8vSCgoKCgoK1j3NIEULsA2DKFXok6zVQKIhyiDTGrRGLSYrZOTiWSYhSDLCVJFkik6ocCyDwZLDSNWl7JhsapTwbANDCJTSaK2oexaXDJexTZNB36YTp0TZ82MjMqW4cqzKcMUlk4qjzYAfjjcJE8lYzSXJFEEiCZKMZpgCMNmKePxIi9bi96ue0zEtmZ5tYgjBUMXlui11Uqmo+SbXba73Wza1hqGyi2UI9ky26MbZSa/xiY6x1PbZizPG53tofbKrvzrLZ86txnoeMl/w0mappbhRcqi41roW26BwuK0rqp5N1bPoRBmT7ahQSwsKCi5adu3axf79+9m2bRtXXnkln//853nNa17DF7/4RRqNxlqXV1BQUFBQsK4xhSCKFak6udgG9J/XAAqkAYbInRsK+mELYarxLE0QKoQJIGiFCaYQbBnwUQJqroFpmTiWIEphtGpjmibPTXeY76XMtBMqrsVozSdTCt+x2DVSoR0mjNU8jjQD4ixjqOLy1EQHpRSXbqjiOxYznZiFIOGSkQqT7eikM8xO1pIZJAoDgSkMjrZCkiwXGA0hqHgWtiU42gyZaEUnFQTOZ9vnxTxkvqDgYqIQ3NYZG+senajLRDNk81oXU1BQUHCeeMc73sGPf/xjfuZnfobf/M3f5J/+03/KJz7xCdI05Y/+6I/WuryCgoKCgoJ1TcUzURoSmc9J0lrnYQinINUg5KKz7ZjnJBBkIABHCJSCdpTRXjQLeLaFQmIII3e/lV1sEzxHM1L1sQzN4YWIvdNdmmHGyzbV2Nzw6UQpQuQhBtOdhE2NEqYJcrGt8tBCyNYBn5pv0QpSwlSeUsw6aUumBqk1zU6EIQSDZacf6vDcdIcozc/hJ4eaRKk8rn11KSBhrhvTiVMa5dVbRl9I2+fFPGS+oOBiohDc1hmb6j7PTHU52orYXFnragoKCgrOD+973/v6f77pppt4+umneeSRR7j00ku57rrr1rCygoKCgoKC9Y/SMFxzmOmFpPL0xDbIRTZB7m5bcrgtsSTtmAb9UIRYaoIkoxtllB3JYNVBI1BSM9uJ6UUZtiUYqbj4tsm2QZ+qZxFLFltLNWN1l16s6MUZdd+m7Fr5PDlTMFR2aIUpc92EjXWPTGuk0riOeVIxa3lLpmevdIGVXINMKrqx5MqSjW0aRJlkIciFvzBVDJcthsvOcbPYlgckdOOM/TM9unHGjqHKccLfC237vFiHzBcULHGu033XgkJwW2dsauSW4clWhC6vcTFryPj4OLOzs2e9/fDwMNu2bTuHFRUUFJwvoihi+/btbN++fa1LKSgoKCgouCgQQjBcdqk6JmcxQqwvtIllX5C3nZZdC6k0cSbROk8OVVohtWK04pApQS/JmGzFCDS+ayK04MqNVTY2fKIkwzTBFLB9qMxwxeGRgwuUHJOJlqQTpzimgYkgk5qKY9GOUmq+hSUEpiFOKWadrCVTCIFpGlQ8i14iQcB8LyaIM0xT4Fomdd/Bc0yGXJuJVsj4fI9tAyUeP9ruByQ0SjadKOW5qR6dKOPSkSrDFacvGJyLts+Lcch8QQGcn3TftaAQ3NYZQxUHxzRIpKKVvjQ/SMfHx7nyqqsIg+Cs9+GXSjz91FOF6FZQ8CJFSsnv/d7v8alPfYqpqSmeeeYZdu3axX/6T/+JHTt28K53vWutSywoKCgoKFi3VD0LpTVRcvrtjILn57ktudzMZVpRmmtTZFJjCsh0vsYxDeSiNc40DaJUEqYZijyAoVFyiKXkSDOiF2ckUjEfpLi2QcWxGCh7PD3ZouyYzHUTDs4FbGx4WJZBkGTUPBulNc0gY9uQj2+bTLajk4pZJ2vJnGhGbG74uJZgIcxYCBLmukku3inYOugzXHZRixdjoOQw244JYtkPSADoxhlK5062Rw82OdoKuWZjneGKSyLVOWv7XBoyX1BwsXC+0n3XguInc51hCMFY3WN8PmAufmkKbrOzs4RBwK+8/w8Z3XbJGW8/Nb6Xv/qD/8i3v/1trrrqqrOqoXDIFRScXz7ykY/wF3/xF3z0ox/l137t1/qPX3PNNXz84x8vBLeCgoKCgoIXSCdOme4lyFMvxQRsAVKAUrnwZhhgCVDkM+AEeTupMEBpjczAMDRVR6AxiWJJJ8wwTIOqZ9OLJVoLNJoolownPY4Kg4pn4NkW3TBjz1QH6DDXS7l6rMbOkQoHZrscno/wHQPTEEy2Q9JMMVr3GCg5TLaj0xKzTtSSuWnAw7YMyo7FXDdi70yX+U5C2TUZLtk0yh6ulTvpIJ/F1kskvSRjtPa82LZ3ukuQSHYOl6l6FrOdiD2TbaZLLq/Y0eDqjetHNDiWs231uxhaBAvOL8em+y6xlO675Cg9USDKi401Fdzuuusu/vZv/5ann34a3/f5qZ/6Kf7gD/6AK664or8miiJ+/dd/nc997nPEcczNN9/MJz/5SUZHR/trxsfHue222/jGN75BpVLh1ltv5a677sKyLk49ceNLXHBbYnTbJWy57GVnvF17fgaAX/3VXz3rYxcOuYKC88tf/uVf8t/+23/j537u53j3u9/df/zlL385Tz/99BpWVlBQUFBQsP5pBQkTzZhEZqe1XpEHJehFsU2Rz4HLNJimAKX7890Wv0WTp326lkkvTsm0JpSKYc8iTDSZ0gRxRqbyOWqebdJMUnqJQOqYimuyZ7LDQMmm4tlMdEKurTbYOVxhrhtzpBliWwKlNUNll9GqC3BGM8xWa8ks2QaPH22zb6aHEAJDGISZJOxIklQy1UnYNVxGLlrc0sU5cRpwLAOtNZOtkCCRjCzWVPUsyq7FpRsqRKmk7JjUvPxedUmESjNJIjWOKbAt84zFqNMRs1ZbA5yRCHa2rX7Lt0sXQytqvsXO4Qob696qxywEupce5zPddy1Y0wq/9a1vcfvtt/PqV7+aLMv4rd/6Ld70pjfx5JNPUi7nA8re9773cc899/A3f/M31Ot17rjjDt7ylrfw3e9+F8jbjt785jczNjbG9773PSYmJnjb296Gbdv83u/93lqe3nljaY7bXHx2AzZf6oTdNgBv/r/+P1xx3Q1nvP2SQ252drYQ3AoKzhNHjhzh0ksvPe5xpRRpmq5BRQUFBQUFBRcPM92YmU6Eb5mEsTyly80ELCMX3NLFVspFgxdKKfRi+6hWeUupBnzbQAPtKCHNNI5pULIMurEkThVKaVzLIM00SuXpogYCwzYwDIHU+c23EAZlzyKMJUdaISMVl00NH9+2mOlE3Lijziu2D1B2rdMWZVYXcp6/NR4oO0ztnWOqHSGVouyYhJmiG2e4tkmYKvbN9LhkQ4VOlDJScwhiSZIplNa0gnym3BKZ0pRsk3rJZgCH+W5KL5FIlbt5xucDJlohYSwpORYb6x5bh0qnPa/qVCKY1pqJVsT+2S7tMMMyBLZp4NgGAkGcytMSz8621W/5do5p0I5SZrsJ7TDlR4davHLbAFdvqq3Y9mKZ4VVwZpw0QZgXlu67Fqyp4PaVr3xlxfd//ud/zoYNG3jkkUd4/etfT6vV4tOf/jSf/exneeMb3wjAZz7zGa666ioefPBBbrzxRr72ta/x5JNP8g//8A+Mjo5y/fXX87u/+7u8//3v57d/+7dxnNWV0fXMWM1DAIEUmNWhtS5n3TK0aftZOeQKCgrOP1dffTXf/va3jwtK+F//63/xile8Yo2qKigoKCgouDjoRvmsNN8xoXfqplIFJDJ3cS3PWMgWH7MMcK3c2ZYsBhY4tk2c5emiAqi5FkdaEflttEAtuuOkUiQSVKYwRB664DsmrmWC1iA0YnFtw7eIEkmmNYYBG+oe121rsHmgdNrnfjri1EIvYUPVIUolR5shA2UXHSRYhsC3TBzLoBnEPH4k46qNNa4YrTE+HzDZiqi4FpnW2MsCGzpRynA1T2JVKhfg5nsxh+ZDZjox870ErfJ5dmEqmepEpEqd1ryqVpDw8MEFOmHKYMVhuOyQZrovgm0bKnF4PuTR8QWCOKPm2wxXHDzL5MeHuwBct6XBSNU9qXh2tq1+y7erena/1bbu2wxXXCZbIY8daSKV4totjX7a68Uyw6vgzDhZgjC88HTfC82LyoPXarUAGBwcBOCRRx4hTVNuuumm/porr7ySbdu28cADD3DjjTfywAMPcO21165oMb355pu57bbbeOKJJ1a9MYvjmDiO+9+32+3zdUrnBccyGK66zHRi3M1Xr3U5a4pUedR4KnX/L2h7nfzwFRQUnJgPfehD3HrrrRw5cgSlFH/7t3/Lnj17+Mu//Eu+9KUvrXV5BQUFBQUF65qSY+JZBgvd+LRmuK3mJTEB187bShECtMAywUAjFXSjFEMIfMdk0LexLYOpToKhNfWyg20JokQSa4FrC5JM4yy2iKaZwrEMhBBEqcQ0TbTSbGmUKC2moGZSI5VisOye9nmvJuTEmeTAbI+JZsi1WxpUPYv5bsJgxaXZS2lsrGEaBkkmaUcprSBlsh2yue5jm4JdIxUapTx9tBNlzHZjpNJ53QJmewmOafQFolQqTAETzYhulObz7pRipJqLWFXPZqYTo3V+DU8kYvUSyVw35rvPzXC0GdEoObmzrmSzse6zse6zd6bDvpkOQSJBa3aNVEilYraT0AwSSq6FZxs0w4ShinNS8exsW/2Wtmv4NkeaK1ttAYYqLlEime8ljM/3eNnG2kU1w6vgzDhZgjCcm3TfC8mLRnBTSvHe976X173udVxzzTUATE5O4jgOjUZjxdrR0VEmJyf7a5aLbUvPLz23GnfddRe/8zu/c47P4MKyqe4tCm5nN/R/vZJJxY8mYwZ//jbunbDojD/HsUnmZddkU91nx3CZS0bK+W/HCgoK1hX//J//c774xS/y4Q9/mHK5zIc+9CFe+cpX8sUvfpGf//mfX+vyCgoKCgoK1jWbGj4Vx2LyBXRlSU3u9hJgGga9JCORmpIFhmWigJprYgnBcNWj6jsMllPacYa36FhyLZNUxSSLvzxXi/XEUqHCFNvKgxGCJGWg5OJYBiUnv4WdaIVndOO9mkOrG+cppe0gZboTs3+ux86hMs0wZVPDQwI1z8YQgrJr0Sg7hLWM+W7ClWM1IBcv4fkQhgOzXea6CftnuwgEQmiqvsP4bEAzyEXIjQ2XIM7wHJOJZkTVW+nWqvkWrSBlqOweJ2ItOfTG5wOePtrh4EKPTTUPzzKxTMFcNyZIJLuGy0Sp4vBCxEDJYajiYIh8pl7Nh32zXSxTMFJxaPVSwoakZOfHWE08O9tWv6Xt5CqttgCWYZDpjIprMddJmKkmF9UMr4Iz42QJwgtBcs7SfS8UL5p36O23387jjz/Od77znfN+rA984APceeed/e/b7TZbt24978c9l2xq+Pz4cAt3y0vD4Ralkv/vgwf5zHcPcKQZUn3lm2kvjnEyRP4Br7QmlZpeLHl2usuz012+YQhetqnGDdsHjvuLrKCg4MXLrbfeyrve9S7uvffetS6loKCgoKDgoqPsWtTLDnL62F9dnx4GueutG0lMS2CgyKQmU4CdCz+2YeDaJr5jshAkhImi5Bp4lkmcSmK5OPtNCEwNSiiSTNMKUyxT4JomZdcilYqpdsxYzcdYdLydzY33sQ6tbpyxd6ZLmGRYhoEwNPune0wsRPTijEtGy2gEqVT9X+ALBKYwqLo2rmWitF7R2lb3ba7b0sCzTf7P4wndKGPrQAnfsQgTybNTXRolm8tGK3RCiW2K49pPAWzDoKszhMhn4i2JWEsOvW6U0olSbBMGSjaJVBxphmwd8BmueMx2Iw7O5+Kia+VixfJjSKVxLZMokUgNmdZIqWHxdmk18exsW/2WtgsXW4GPPddMKaxFJ2QvlkSL8+QulhleBWfOiRKEzyQQ5cXCi0Jwu+OOO/jSl77E/fffz5YtW/qPj42NkSQJzWZzhcttamqKsbGx/pqHHnpoxf6mpqb6z62G67q47ulbj1+MbKx7ADgbdhKmF/eHzVcen+B3v/QUR5ohAFVHcPShL/PzN93Ey664nLL7/GDUOJXMdhMOLQQ8M9VhIUj58eEWTxxt85qdg7xy28BankpBQcFp0mq1uOmmm9i+fTvveMc7ePvb386mTZvWuqyCgoKCgoKLgk6U4VgGniUI0jMX3ZZSSgWgs3yemtR5Z6lCEKUKbYGVGXi2QGtNnGUgDGIJaSpJlUbr/EbatCFVAk2+TyU1ylRIDbtGqkipCJKMdpjg2tZZ3Xgvd2hpdB5SkGSUHIvDzZAglhhG7j47MCt5brLDSM1DSs2WZTPi2mHGSNUhTDM2DfirOuziTLFjqIzW0ArSXEQUgstHKwgB3TjFNEBqjSVWinoA6aIIpTV9EWu5Q69RdphoRjRKLr1Y4tgmvSRjrpuwecCk6tnMdxMSJfEdE3GMcGgaIm+nlZI4k1hC5GmzS8dfRTw721a/pe0OzPZWPdd2mFLz7XxM0GKQxsU0w6vg7FgtQXg9ptSuqeCmteY973kPX/jCF/jmN7/Jzp07Vzx/ww03YNs29913H7fccgsAe/bsYXx8nN27dwOwe/duPvKRjzA9Pc2GDRsAuPfee6nValx99cXr/qp6NiVTE2Dy7HzK69a6oLNgfHyc2dnZEz4fpIo/faTFt8cjAIZ8g391dZXR6CDv+N272fzPfo6Kt/It7Nommwd8Ng/4vHbnIOPzAd/fP89EK+J7e+fYO9NlC+tHES8oeKnyd3/3d8zMzPA//+f/5C/+4i/4v//v/5ubbrqJd77znfzSL/0Stl38HBcUFBQUFJwtvUQSJYqyYzEfnn3691JgQqpyAc40wDI0UaaIM7ANRSfMcCxBO5bUDLHYZglSKYQAzzboJhLHyG+oHctYdL6BYwqCOGWk6qI1RJli1wafS0bKGMZKwWX15NHnb86XO7Sk1kx3YmwTjjQD5joJSSbpxhLLEBhCEGaahSDJXVltQcmxCNPclSYEVDx7VYfdkpNuc6OEaxmEaZ5GahoC3zaJM0U3Sim5Fs0goVaymevGuJXlItTxot5yh14qFZnWNDyLimexEKRUXIt2lDKcudimgRaaXiQZ3eDhmAbzvQSnbBBnikwqDDRxIgkSyeYBH88yCNIMKTWz3Zgdw6UV4tnZtvotbdcOUybbEb1uxmjNJ1OKmU5ML8mQSnNoPmCk4jJZC3Ht3BV5MczwKjh7hBDrvm14Tau//fbb+exnP8vf//3fU61W+zPX6vU6vu9Tr9d517vexZ133sng4CC1Wo33vOc97N69mxtvvBGAN73pTVx99dW89a1v5aMf/SiTk5N88IMf5Pbbb1/3LrZTMeQqgsDk6dlkrUs5Y8bHx7nyqqsIg2DV563GRkZu+U84w9vQStJ+8H8x/sDneTR7Puyi2+2e9BhLH+7bBkvsmezwzWdmmGrHzLITb9t15/R8CgoKzj0jIyPceeed3HnnnTz66KN85jOf4W1vexuVSoVf/dVf5d//+3/PZZddttZlFhQUFBQUrDvEoqnNNk3g7AU3yNNLTSMPFHUtA9swwRFIqdECTBM0GqUUZdsgUVBxLESoSTLIFAyVXGxzMbVUatpxhpKahmnj2QZlx6abZPz4cIt9sz1etqnONZvrbKx7CCFOmTwKzzut9s306MYpB2a6KDT7Z3uEiUIpzVDZIZOSkmvTjWUu/qm8BXMpZGC06rFtuHRCh12aSbpxhmXmARC+vVL4s00DqWFjwyNTmjBVmIbBdCfEt08s6i136ClyZ1ymNEMVlzBVtKMUrXMnXyoVYSIZrXv4tsVozWO+l/L4kSaKvJa5TkQqFYNRhmMaPDvVZb6b0IpSyo7FcNWlHWUrzvFsW/3qvs21WxoYhuBHB5vsn+1iWwZhmuEujgYarXtsGygx3Xn+3nZJ2LOMPJBirhdT9Wy2DpTWxOl0KlF3vRzjfLBe6z7frKng9id/8icAvOENb1jx+Gc+8xne/va3A/Cxj30MwzC45ZZbiOOYm2++mU9+8pP9taZp8qUvfYnbbruN3bt3Uy6XufXWW/nwhz98oU5jzRhyNYcC1qXgNjs7SxgE/Mr7/5DRbZeseG4hEXxn2iJRAs/U3DiqGPrX/wL+9b8A4KmHvsX/+Ys/Joqi0zqWEIIrN9bYNODzlccnmWhFbPhXH2Y665zz8yooKDj3TExMcO+993Lvvfdimia/+Iu/yGOPPcbVV1/NRz/6Ud73vvetdYkFBQUFBQXripJrMlR1GJ87d6NpXFtgWwaNskMiJe1eiinE4gyyfC7X0VYMGnzbINMQxBlSa5IswzRzZ5vWABrbENhC0AxSPCelZJv4tsHh+YCjzZBnpzq8YvsAWwdLjM8FK5JHk0wx2YroRBnXbK5T922EEAyUHab2zjHTidBa0woSWkFKKjV136bq23QTRZgmNEo2QxUbyzT4xWvGKLk2jimwLfOEYkIrTHlmqsu+mS6WaVCyTeolm7G633fqLLVEDpZd6r7DwbkelimYaIUnFfWWO/R82+w744YrHlsGfCZbIfPdhHacEqWKSzZUeNX2AcbnQ6baIUmmUDpPd40yScWzGazYeJbJ05MdlNLUfJtLNlQYLDl0o4zHj7T612+Js231q/s2u3cNsWOozP6ZLo8daZFkgsGSe9w1mmiFVH2Lkm1yeD5kohURJBkl18S2DMbnA4QQp2wpPpci0OmIui+UC3GM88F6rftCsOYtpafC8zzuvvtu7r777hOu2b59O1/+8pfPZWnrgiE3v3575tK+TXm9MbrtErZc9rL+95OtiO/88AiJUmyouvyzl2+ifIyNdGp871kdq+bZvOUVm/n8Nx9lxqzzVNJg22S7nzBUUFDw4iFNU/73//7ffOYzn+FrX/sa1113He9973v5t//231Kr5T+zX/jCF3jnO99ZCG4FBQUFBQVnSL3k0HBNouzsQhOWowDPhLGaSy9RxJkkShW+a+ZOq1gjlcIxDQSQaUUrktiGQKMRaBIJllIoyJ1xAI7JkVaEaYDSguFqnlI6UvXIlCLOFI8fbvLcVIea73DJSKVfk2ebbKz7TLRCxud7XLOpDsBCL2G05jJcdvj2c7PMLqaGDpUtLMMgySS1ks1kO8IyYbPlEmWKkmszWvNOeh2WBxqM1Fw6YYrnmMx0Enqx5JINFSqutaIlUgjBtZvr7BqpkGaSROoTinrLZ6iN1T0aJZvZTsyRZsBw2aHsWgxXPKqeSc13eNWOARolh6pn8/WnQ6JMsmWgRKah6uZz8IbKDg/umwOheOW2QSzDWOHIW379ltdytq1+Qgg2NXyqnkU7ygMdyq51nAtwoOTQizO2NnwOLYR4tsGWoSqjVZdMcpyYCseLa5lUjM8H50QEagUJDx9coBOmDFYchssOaaZXreNsWXr/nEo4frGxXuu+UKzvhtiXOHVbo+KAkLxl8upN61s4muvG/P2PjpBIxaaGxz97+aYVAzXPBZZpcDlH2fejB6he/4/52hNTOJbBruHKqTcuKCi4YGzcuBGlFP/m3/wbHnroIa6//vrj1vzsz/7sikCdgoKCgoKCgtPDtwSdRGIaYALyDLY1yUW2pX+l50maMNtLkFLTDNO89dEA28rbBUuORd13cQwIMkmWadpRhinAcy0SqXBNkyCTeLZBL1UINL1YApog6RKkGXXfwrMtNNAoOSSZ4kgzwrGNRfFupQFhoOQw10noJfkZLs1WkyoPNbAt2DsVINBIrTncDKEZgoI4kYSJYqzuEaUnv0LLAw02NUrUfIe9M106UR4I0ApTxud6NEr2cbPf+uLVKQSspXE5k62IB/fOgYZQSha6cX/+2daB0qrOuIGSw9AOF9swMM18lpxAECQZIHANc9GRt7KG5dfvXM7SkipPKx2quBirOM5s06AVJnxzT8BUJ6bu20wuRISxZKzuHyemtqNshcMqyiQLvYSqZ7G5UTpeBNpUw1wU5U7lfGsGCV9/eor9swF136YVpNRKNhtXqeNs3XPL3z/L59atJhy/mNo012vdF5JCcFvHCAHx0afxd76SRw7Or2vBrRdn/N2PjhJlirGaxz9/+eYTRkG/UAQw/9W7ufSG1zMlS/yfxya55YYtjJ3it1YFBQUXjo997GP8y3/5L/G8E/9cNhoN9u/ffwGrKigoKCgouDgYX4hoRxmGYSJPc4abAZhiMY0UQOSPKQ2xhixSOBZYAixTgMjDFEqWgW0aCDQZAtMwSJAg8vFAaaYxhUEiFSZ5+qSZqVyQMwWuYaA0dMKUg7M9BsoZwxUX1xZ5QqdpEESSMJXHCUa2aZApTSbz1tmlGWi9WFHxLK5w6zR7GYcWAuI0DxOo+xbVskM3SemlGZlSPDvVpVFyTujUWR5oAFBxLS4ZqTDRCmkHeTfSVDtix0iJK8fOgeNH5IEVJdvEa5RIpWJzw+MV2wf6c+2WyKRCKhgsO8eJW1JpBCCM3Fl4bLbcsdfvXLG8PXa1JNJmkLBvtkeUKjY3fMquRSrVCrfgkhg40YrYP9vrO6xsS/DURJujzYjNDZ9MaTwh+iLQ3pku9z09hWeZJDJPRd3U8NgxXDnudWmFKT84sMD+2VzQXKpjrhsTJJJLRirnRJQ89v1zLOdL+HyhrNe6LyRFlu46Jz7yFAA/OLiwxpWcPZlS3PPYBN04Y6Bk88+u33TexLbn0VzuNNk+WCJTmnt+MkEvzs7zMQsKCk6Xt771rScV284Xv//7v48Qgve+9739x6Io4vbbb2doaIhKpcItt9zC1NTUBa+toKCgoKDgXNGNUo42Q1pBfOrFi1iAbeSimyBPJxUClv4FLYFUQskxGa65DJYcTENQ9WxKtkmU5TfnrSBFao0QoJTCsQw818wdaiJ3X/m2CRpsQyCEQKs8SGG6E7N3pks3SkhSnY/VMQVRKnPBiDygIUgzOlFKK0ry5FTTWCHymIbAEoKSYzBccRgqOwyUbVzbouY7WKZgqOxSsi2Gyy5JmvLD8XkOzHaZakcotVKAWh5osETFtbh0Q4WrNte4bnOdnSNlLt9QPaHYprWmG2c0g4RunB03fmnJTQRw484hrt/a4GWb6ly/tcHrLxuh5FgcXgiP2375eR+LaQg0oFUeWHEsS/PmLPPc3psttccuBMfPItda88x0B9OAkUreKmsIgWuZjFRdgkQy2QqxDEEqFftnusx1YyquhUITpYo4UWwfKvXXLl2LbpxxZCHg+/vmeW6my0wnYnw+4Pv75/n+vjlayxJ7l653J0qp+/aKOoYrHmGSMdkOsUzxgkXJ1d4/yzlfwucLZb3WfSF5acqMFxHx4ScB+MGB9Su4ffvZWSZaEa5l8E9fvin/C/YCYAj4hWvH+OuHD7EQpHzl8Un+xSs2Y6zDWXgFBQUvnIcffpg//dM/5brrVqYYv+997+Oee+7hb/7mb6jX69xxxx285S1v4bvf/e4aVVpQUFBQUPDCUEoy3Y6QWucutdPYJiFPJBXkopvSuYNtOZmG+UDSiiSuCQiTdpQyVveR5OKYaxl4tkmaSZQGyxJUXBOhwbZNhko2iVQYQufHyBRKSzINqdSL4pGkGab9DpVUKa7cVEPEou8qy7SmFabsGi6TZRLTNHAsg4lWyPahEvWSzeGFEMc0aZRsugsZm+oew1WHbpzh2gYbqh69JONHh1pMdxNGqg5V12bLoM+rdw6xdaAEnNixJRCUbIsISVXZ2KuMy9FaM9GKODDboxWlWEJgm8Zx88aWu4mEEJSc52/lu3HGfJCwZ7LDdDui4lr97Wue1Z/9trztD1icnQYIVr0HWz5v7lyy1B7bibJ+EqltGqRSMdEKSaXmsg1VploxqVQrxgzVfItWkNIpZ7TDlL0zPQxguhNjCYFlGXSTjKpv99eGqcR3TPbOdDm0ECBVLojWfYdUKtphxlMTbaq+xY07hxBC9K/3UNldDNZYWUfVs2n1Utrl9AWLkqdy/J0v4fOFsl7rvpC8dM/8IiGeeAZDwJFmyJFmuNblnDFHAsFPDrcA+McvGzuhHfV84Vom/+S6Tdim4HAz5KED8xf0+AUFBS8Out0uv/Irv8J//+//nYGBgf7jrVaLT3/60/zRH/0Rb3zjG7nhhhv4zGc+w/e+9z0efPDBNay4oKCgoKDg7OlGGalUSHl6YttxaFjFMAXkolssoZNAJiVBLGkFCWmm2Fz3aPg2rpU7q7JM0QpT5roxUSaJ0oxunNEOEmzbxDIESktSBUKDa4KSkolWxL65Lr1U0Y4zWqHkO8/M8OjBeWY6EYYhkEozULIJU8kXfzLB/XtmmO3GHJ4P+f6+eRzTwDIFrSjFNgS+beE7Jq0wwzYMtg3kYtezU10mWhG+bbJloESj5PDsVI8v/2SCQwsBcHLHFuTC1VDVoWQbK1xszSDhgX1z/N2jR/jOs7M8O9lloh0SphkTzZDHj7T6rqsTuYm6ccbemS7tMMUyDRql3I012Yp4/EiLdpSxfbCEYQiem+4wH8SkUjIf5G7BsbrHjsESk60odwoqTZRKJlohZddaMW/uXFL3ba7ZXGes7tGLM2a7Mb04Y7jqsHnAZ2PDp1ay6UQrW55twyDTmsMLAXNBTDtKqPgWAyUHzzFpBgnT7ZhOmPbXSqUJEsnB2dwhOFCy8e2VzjnLEOw52qG72PW0dL1rvkW9ZNMOV3ZDWYv7nu/mr+0LESVP9/1zroXPF8p6rftCUjjc1jk6CblkwObZ+ZQH985xyw1b1rqk08YsD/DofP4WvGHbADuGy2tSx2DZ4Y1XbuCrT0zx0IF5tg+VjvvtT0FBwcXN7bffzpvf/GZuuukm/vN//s/9xx955BHSNOWmm27qP3bllVeybds2HnjgAW688cZV9xfHMXH8fJtOu90+f8UXFBQUFBScIXGmEUbeAnqmaJ5vI12NJcecBsIMHCN3ermmSaY1052YbpSSyLyl1MggMSSubSIVtIOQIFWUhIFhGTi2hQsYQqC0ItUC0wBDGMx2Yi7fUMYwTPbOdpjuxFy3tY5Smg1Vl6qXJ44ebUY4psEVY1Vqns0z0x0OzAeUHIOSbSIMi41CUHItap7NSNWj5po8fGCBKJNcuqGC1uTtr5ZF1bN5ZqrDDw7Ms7nuYRhG37F1tBngOSYmAokmSiQVz6ZRcnj8aHvFYP/5bkwrTPN0UlswHyQcWgjwbJMrx6qEqeoPnV/NTaTRTLRCwiSj7jtEicQ2jRVD65882qbkGMSJZK6b8OxUhyhTuLbBUNllY82j4tsIBL046yd6bmx4K8IXzgd13+bazfUV6aJaax45sECaaTbWfYJEMtuNqHo2lmEQJLlQie9Q8xwcw8QQoi+ebWr4zHUTxhcCLttQwRIC0xB044xOnGIaBjXPxj1GuGyUHKY7Ee0wzY+1eL1TqRmr+/RiyUwnpuZb2It1tMKUHcPlFyxKnszxtxAk51X4fCGs17ovJIXgdhFwzQYnF9z2rS/BbeCm/zeJEmyouuy+ZGhNa7lyrMaB2YA9Ux2+9sQUv/LabS9p62tBwUuJz33uczz66KM8/PDDxz03OTmJ4zjHpaGOjo4yOTl5wn3edddd/M7v/M65LrWgoKCgoOCcUHJN1Hkaq3TsbhMF3ThFGIK0l9KLM9Ria6gwBEJAkmliqTENhe8YxClIBVEmKTm5COaYgplOTGZIDCGoOhZxKskQGEoRxhKtwUCwbajEUMVh70yPMMnYPlQiTCRxphiquNxYdjgw12OoYnPVWI3JdrToOEvZVPcRQtAKYo62IsZqHolUDJSdFS2FG+seh+YCZroJozWPum+zbajEw/vn2DPZIck0jiXYOlhi61CJ8bnguMH+B+dCunGKYxlYhrHY5mgx1Y544miLLQM+pgE7hyt9N9Hy1tAwlbSDXCBqhxkjVWdFa6htGjw6vsDWgTxRs16yeeyIJGwn1DybK8equJbJQpBQckwuH6tScsxTJneeS/oprYtorVec5/LwiUylzHQTxqoOVd9m66DP0WbETCdhpJqft0CwbbDEvtkee2e6XLahimMaxKmkG2WM1jyGKs5x5yYEuUq8yLHX+5INFSZbIa0gpatzsW3XSJlXbx84J6LkkuNvedrqhRI+Xwjrte4LRSG4XQRcs8HlC0/3eGDf3FqXctr84GhE+cqfRqC56apRzBfB3LSfvWKEwwsBzTDlBwcXuHHX2oqABQUF559Dhw7xH/7Df+Dee+89pyENH/jAB7jzzjv737fbbbZu3XrO9l9QUFBQUPBCqHkmx+gL55VeojCNxQFwgG0bpIsJmVKDZQhKtkG15LBjwGfPdJcwlqRK45gGvm2iNIDAc0w8y2So6jDfSwmijEbFoVF2SDJFM0g52oxA0BejbMOgqzNkvhOEEGys+/TijJ1jZfK8hZgk08x0I3w7b8lUWmEIQAgqrp1fsMVz8GyTJMvbLyFPtByfCyg7FtdvHcAwQCkIkpRHDixQ9SwuGakCEKQZcaLY3HD57t4OvmVx6WiFbiRZCGN6sURKtejuinn5ljqVocpxbqI0VQSpJJaKsmMxtigWQu5+m+vGBPFiqqtlcHghwBQm121pMNuNmOnGXDJS6bvh5noxG+v1C+pI0lqvcLiVHfO489w5XGayFfLMVAfPNnBtk0PzAQhoeDZzQcyh+R71kk3ZsXAsA9sSjFRdKq7FXC8BkYuknm3iO8fLIAu9hIGyTW1RIFrNvbVjqEynnDHXi9kxVOZVOwaon8ORSKs5/i6U8PlCWK91XwgKwe0i4MohG8sQHF4IOTQfsHWwtNYlnZRenPHfHs3bqy6rKkaq7hpXlOPaJq+/fIT/8/gkPziwwBWjVQbKF3amXEFBwYXlkUceYXp6mle+8pX9x6SU3H///XziE5/gq1/9KkmS0Gw2V7jcpqamGBsbO+F+XdfFdV8cn20FBQUFBQXHMh9Kyq5NEEvi8xwgaACGAUGaonUuZBgijzqVUpMtppEapoGUCt8xGa15TLdjgiQjSCUiTFFakyqFb5sMlBziVKF1Ph7GMQ1MQyCAgYpDkEgmmiGpUlRNOx/evthauMRSgmLJMblmc50Ds10ypTjaTOmEUZ6aiqCTZLi2xWQzpBulDFVcSo5FlEocS+DZZj/RshdnbGqsvBdzHYMnJjo4i+2SQojF89YYCASCUEoOzATMdhNileGaJsLQNAyH2U7MTw63qZfc49xEnTglk4qhsse2ofIKp1iY5kP/a76NaQjCVNIKUmp+vmZp6H/YkJTsfAbaXCehl8gV+zmftML0OGfUUtjD8vNsRilHFkJKjsVlG6q4tkEnlozPBTwnFa5p0IkzploRrmPmbsNGiZ9/2Sj1kkMm82Tahu/w8IH5FS2qmVJ0opRMaa4Yq6849xO5ty4drZw399axjr/1wnqt+3xTXJGLAN82uG5LnUfHmzy4b+6CCW7j4+PMzs6e8Xaf+VGb2UCSNSe5asvgeajs7LlsQ4Unh0ocnAv4+p5p3vKKzYUyX1BwEfNzP/dzPPbYYysee8c73sGVV17J+9//frZu3Ypt29x3333ccsstAOzZs4fx8XF27969FiUXFBQUFBS8YHzbwLcMPAvi1eednzMUoCSki3Y6y9Q4di52SQ1osEwTpTRBqqj5Dt1EMddL8G2DSOZtpmjyFlKtqXoWnShjQ82j5OZOGqkUiVKEcYZjmbSjDAP6KZQjVQfPNgjSDClz8c408qTFJedb2bXYNlAiSCTtMGZjwyfJJMMVhzCRTLZi2mHKjpEKE62Iy8cqjFScFQmixyKlxrMM5oOYmU5MxbMwDLCEQGqFZQomWxGBIzEQDJZcEqkI4oyFIGZssYalWW7L3URpJhmp5imaZdfsn5tpCjKpaEUpl2yo4Nsm3Tgj0xp7cWxOPvQ/X4/9vACZyeMV2NVcaC/0HqkVpjx+pNVvs3UsgyRTTLYiOlHGNZvrXLu5TjfO+MnhJgawYyifB6a1puJajM8FxJliY93jqrEqQSJphSlxprh8rMqmhr+izpct7u/AbI92kD4/cNCAqzbWuHpT7bjzOlP31vm4VgXrl0Jwu0jYfckQj443eWDfHP/yVee/bWl8fJwrr7qKMAjOaDt7w0423vpxhGEy97VPEu167/kp8CwRQvCzV2zgfz54kMMLIXsmO1y5sbbWZRUUFJwnqtUq11xzzYrHyuUyQ0ND/cff9a53ceeddzI4OEitVuM973kPu3fvPmFgQkFBQUFBwYudjTUPyxQoYWIiOYvshDMiWRTbDEBrCNKleWt5l2acSQzTxEL021wrjkm56jLVjckkVFyTkYpDZ3F4fdmz2dzwyRRMtUNmFx1I39s7R8k28RyTncMVmmHAprqHbRr85HCLIM4wDEE7ytg1XGa+G/HMdI92kFDyLAYrNs2ZhGYo2Tboc3Au5CeHmhiWganhYCLZO93hqs11Lh+tEqSKNJOrJohCPoduoZfQDFMyqam6NrWShW0ZdHopWueJqqlU1Lz89jzJFI5tgBCYInd9LXef9d1ErsVVGw2+v2+OB/fO5RdzUUSKlUQYgsFSPq/MNASWEKRS4VommVp0/Zli8ZiSVCp6cbZCKDqZC+1sHV7LHYHLw+qWhz0sCYxCiH6AQl+4WvyfRuPbxmIIh4trm3iZRpMhVhnHXfdtXrtriNGay9FWRJzm4RGbGx7bhyonPJ/TdW+dj2tVsL4pBLeLhBt3DXH3N/by/X3zfavy+WR2dpYwCPiV9/8ho9suOe3tvj1tMR0Z1MJJDu5/lCiKzmOVZ0fdt3ntzkG+t3eO+5+dZddIZdW/PAsKCl4afOxjH8MwDG655RbiOObmm2/mk5/85FqXVVBQUFBQcNYYhsFw1WWmHdO5gMdV5CEKAjABJXIBLlMaQUbNdzmy0KMd5c6vKJXUHBONWEzyNBm0TNAwULLIlGKyFXJgvodtGlyxoYxEM9tLmGxFaGDHUInJdsiTE21SKfFsC8sQbKi5BEnGZ78/TphKTCNP8jRMQZhIxuoeUaoQQpNIRbubIJVCaY0wBBt7Cc9Od5lpx/iOSZzKFQmiAN0448hCSJSpPAyg7GAaBrOdFCHyGXa9OKNRctAaEqnpxjGOaTJW8zGFxrFMHNMkWHRNnRCxTG8T4JoGriVohnkbrG+b1Et2P2CgE6UMV92+++2xI00cU/DkUYFtGgxWHAbKzoqwh9VcaGcjJJ3MEQisaG/NpDpOzAwSSSfK2DLg041S5nop872EqmszUnUYKFWIE7Vqe2zdt7luS4NLNpy+C+10XGun49grRLeXHoXgdpFww/YBbFNwpBlyaD5k29CFaSsd3XYJWy572WmtPTjXY3r8KKYQXO53eezUm6wZr9w2wBNH27TClEfHiwCFgoKXEt/85jdXfO95HnfffTd333332hRUUFBQUFBwjkmkZlOjxOHZHrNhdsGPr4Fs6Q+LRBlYScpkKwYhyKSm7JoMVzw21ByqrsNCL6GXZWipMU2TVpiSZIq6a3PlxhquZaJ0PtttW92nl2T04gzQJJmk5lukWS6ghYlEKsXemR6ubTBccaj4Np0woRXmyaHNIGW+G1MvWfi2RZTlSZeZkiyECZ0wZVPdY6GXMB8kpEr1gxG01ky2QsJEMVrzCNKMXiyp+QaDZYepdkiQSEbrLlrCdDemZBmM1lyqroMQ4NgG1cV5cZYhsMyVJgCtNQdmu0Sp5GUba6RSY5v5Ot822TfbpRunHG0GDJZdRqoeC0HCM1MdRqouGyoe892EHx9uAnDZlgaDi+ETE82QHx9qrgh7gBO70M6E1US05Sxvb7VMA8sQfTGzG2fsnelyYK5LybFQUuFZJtuHKozW3H7Axmw3PqFAuZpj7USi2um41s7UsVfw0qEQ3C4SSo7Fy7c0+MHBBR7cN3fBBLfTRWvNd5/LU1Sv3VLHO5SucUUnxzQEr7tkiC8/Psmj4wtcu7lOuRgCWVBQUFBQUFBQcBHgWgZSarQ4z4kJZ4AGglTRDBNQgkbVZttQGSFgppPSDiWWKQhjiW0KttU9jrQiZjoRV22sY5sGnThlqhUiFVimoBWlHFoIuX5rg7F6mVaYoLVECMFTEx0MI1f84kRScW0c08Q2BTPdhCjJ0ym7cUbVs3BtQZhqtFbYpkknkjw71eGyDRUaZYfZbsJsN8GzegxVPDKpmO7kos9A2eGqeo12mNIOUjKdYRsGtZLNrpEyJcfisSMtptoxdc9GafAcg7pn41oG3Thj50iZsmOuuGYTrYhHDzZJFo9lCUG9ZPfTSjc3Sky3Ixolh16ckSnNaNVjoGxjmyZBknF4IcR3TK7d3OiLUJ5t0ig7PH60vSLsYTkvJGTBENCJU8Iko+rbDJRsjGU9oKlUfYGx7JgMVhwmW3nQwd6ZLs0gwbcsfNukneVrW0HCSNVdbEFdXaBc9X2nNROtiP2zXdphhmWcucPvTBx7RbDAS4vi1b6I2H3JED84uMAD++b4V68+/3PczoQ9kx1mujGOafCaHYM8eWitKzo1l27If0sy1Y55aP88P3vlhrUuqaCgoKCgoKCgoOAF4y+GBzSj8z297fTRQKZgups77tqJJMlgS8MniFJCqdgxXMazLXzbYPOgj0RzYLbHfJAnPywEKaYh2NTwsC2DhW5CnCn2zwWM1XNxserZKKWxLEEnzAgSyUDZRmpNIiVSa6quxXQnphtlxFIy343pJJJ2mCKVxndNalLx5BHJhppHxbEIUkknTik5BlJBqjRBnLFtuMSmeomKa7Gh6hKmEik1QkAnTCl7Fr1Y8vrLRnhkfIGJZghCIBLNTDOm6ltsavhsGyyvEL1aYcpjh5vMdmM2D/i4lkkqFTOdhF4s+2EJrm1y+WgF2zL77q2SbRCkilaQkGnNUNnBt1dKA1JqfNukl2SEqaTkrHz+ZCELJ+PQQsBD+2Z55OACC72MwbLNhprLyzY3GK16i69jwsaG13eZbR8q014831QqxmoeUSqZbEWMVD22Dvh0Y8lkK+SSkcqK7U9GK0x58mibR8cXCOKMmm8zXHEYKrvLHH42l4xU+tus5lo7E8dewUuLQnC7iNi9a4j/+vXneHDf3AWZ43a6ZFLxvX25u+1VOwbwT/HB92JBCME/unSY/+fRIzx+tMX12xon/K1FQUFBQUFBQUFBwXqhE2VIpVFq7QUAU5CnlR5DlCkOzAUcmAuwTYFvG5Rdiy11n4pvY5km2wbLPDXRIcsUriWoehYDJSdP4FQKqTV136ITpQjgirEqAkGoJLZhUHVNulFKs5sw247JlEahSTNNN06ZDyJMYdAUKQqQWuFY+b1MO0yZVwlPHW3x6h1DjFRdADzLxHVMLml4uLaxQswSCEq2BTZEqcSx8mCH/bM9JtsRSaaQSpFmmo7U2LbBQNnu39cttT2mmeSZqS5RqhipuBhCYAiBa5mMVE1mOjGTrZDNDT93bFnmcc6qimuQSYVtGLjW8fdnpinwLIMoVf0U1+Usd6GdLocWAr78kwmaQcr2oQoVN6YTZeyfCZjrpbx25yC2mb/OywXGum+za6TCs1NdNNAMU8quzUhVU3IMDENQdk2mOzGmIRiquMcJlMuvXyYVQSLZN9PhyaMd0JpdIxVSqZjrpoSJYlPDY7oTY1sCjUZwYoffsW2v5+JaFVwcFILbRcQrtw/gmMaiJbbHrmVK/Fry+NE2nSij4lq8Ymtjrcs5I7YMlNgxVOLAXMADe+f4xWs3rnVJBQUFBQUFBQUFBS+IXiLpxBll26IdX/gZbktYwM5BH9s0ONyKiKUilZpj9Z1UalIp+cHBJk86HTbVPaTSvHxzjc0DHk9PdBHCwLENojTK55+ZBs0gYdOAT5JqwlSSZrlgZoo8DVWIXGxqxxnTnYihiodvGaAlSueOJKlBeXmSaNm18CwL2zSYaIcYQuDbFu0on/lmCEHdz9s340yyqe4x1Y7x6/ltt0b3HW6z3ZgdwyU21j2kUvzgwBzPTHdIM0WcKSqOyeZBny0DJYIk48mJFiXbZKGX0olS9kx2aJRtBIJ2mDBc8YgzidTkYQlBgmmIVVtR+9f/JEKRb5v4rslCmLsGIReswlQi1fP1n8pFtoRSiof3z9EMUi4fzWfCVV2L2W4uuh1aCPnRoSb/5LoxdgxXVwQMaK3RWtMo2dRLeZutZRhIpZlsR7SDlEQpgjhjuOrwsk3HBxQsn8WWSsXhhZBukmGJXKA7VrCcaIV4lkEQydzhZ1srXj8hciEtk4q6b/fbXsfqXn+NaQp82zxtx13BxUchuF1EeLbJDdsHeGDfHN9eTNdcazKleOTgAgCv2TG4LlX91106zIG58TyFqBOvdTkFBQUFZ4XWy+5e5It7jmZBQcGLlGWfHSs+U16E3HXXXfzt3/4tTz/9NL7v81M/9VP8wR/8AVdccUV/TRRF/Pqv/zqf+9znVqRQj46O9teMj49z22238Y1vfINKpcKtt97KXXfdhWU9fxv1zW9+kzvvvJMnnniCrVu38sEPfpC3v/3tK+q5++67+cM//EMmJyd5+ctfzn/9r/+V17zmNWdUyzlF5+2Oa/lvc7H4H8MUKEF/btYlI2UOzgXMdhOCVJFkK114QSJ5bqbHczM9/pcp2FT3iTNJkmXsGqlgWWY+Z6sZIoSgbFuUbEHWi1gIEgbKLqaRC0BxKim5JonU1H2HREoylaeUbqx7HJkPUYYmjFNcy0AgiFNJnGmU1rimgWcbzPVSptoRtilIMgkCZjsxr7tsmLJrMdEKsU2DuW7MfDehFaWUHYvhqsvhhYAfH2ox14mpuBZ2SeBbZt6WKjVHmhGmEOyb7nHpaIWaZ7MQJky2IybbIaZhYJlwYD7AMU0EILUmSDJed8nwqk6vJZbPR1sa9r9CVEKwoerSDBLCRDLbjZnrJbTDlJJrMVL1aEfZaaVvznQTDs+HbKx7/cd8x2LLgEmcKQbLNgu9FM+2MA3R79haEsqOLIQcmOtRblsM11w21n2qnk3FswhTSS/KiKXi2s0Nqt7xYtvyBNFMKRKpSFLJVC+l6tu4y9bXfItmkCJE7rSUUtNVGUebAbOdmERq0Hmox8s212mU8hCFyVbEg3vnlsXF5u/xHcPlk74OBRcvheB2kfH6y0d4YN8c9z8zw60/tWOty+GpiQ7dOHe3XbWpeuoNXoQMV1wuH63wzFSXh/bP83L/1NsUFBQUvNiI4+d/YVD98efWsJKCgoKLgTiOKZVeXCFdy/nWt77F7bffzqtf/WqyLOO3fuu3eNOb3sSTTz5JuVwG4H3vex/33HMPf/M3f0O9XueOO+7gLW95C9/97ncBkFLy5je/mbGxMb73ve8xMTHB2972Nmzb5vd+7/cA2L9/P29+85t597vfzV/91V9x33338e/+3b9j48aN3HzzzQD89V//NXfeeSef+tSneO1rX8vHP/5xbr75Zvbs2cOGDRtOq5bzgVKaTrx2M9w0oDV0o4yhiovn5G6rOFUMl10aZQeTvH3w0HxILPVxrY2p1BycDwCYbMORZkzNsxgsO2wd8hmpeDiGwUKQUPNsaiWbXpTRTTJqnk3Fszk0F4LWNMMY17IwUHiWRTNMMEzQCjINMlFkSqG0wDLy2g1T0IlSZrp50ulY3WchTJFScygNGSjbvGrnEIfnwxVzwi7ZUGGw5DDVirj/mWmCKONoKwah2VD18BwLz8qdUVprpjoRYaq4ZnONwwshrTCj6lqUXIu5bsxEKw9MGK64eI6JyjSmEH1n2olYmo/WibITioKXj1XRaJ482qaXZNQ9m10bygyWXDpRLmQthQecjCiVJJk+bryQELm4FiaKo62IRw4sMNGMjgstGCo7bBssMdmKmOvGBInkkpEKFdeiZFu0gpQtA/6q6aPHJoh2IoVpCMYW20anWhE7h8v9WqRSJJnENg2CJCPKJHune0w0AxQCIaAdJNR9m8cON1eG64llepvIAyIKXroUgttFxk9fNswffAUe2DdHkqkTDm68ECil+cGBeQBeua2BZaw/d9sSr9kxyDNTXZ6b6bJjrPjULCgoKCgoKCh4MfOVr3xlxfd//ud/zoYNG3jkkUd4/etfT6vV4tOf/jSf/exneeMb3wjAZz7zGa666ioefPBBbrzxRr72ta/x5JNP8g//8A+Mjo5y/fXX87u/+7u8//3v57d/+7dxHIdPfepT7Ny5k//yX/4LAFdddRXf+c53+NjHPtYX3P7oj/6IX/u1X+Md73gHAJ/61Ke45557+B//43/wm7/5m6dVy7nGswxSqVCrzOY6W0zAMkApWM1HbbAosh3zeJplIFxcyySRiolWSM1zqPoW7TBF69xxFKWKbQM+tm0y1Y452gyPaz3tJZJeIploxxxeCNk6VOKq0QqeK5ASBn0H6cOlrkXdt9g70+XQQsBgxcE2DHqpJEolcRqTSoVrWUipSJQik3px1pxEYOSz3FTuLEPDloEaw2UXyxAEqSReFGlG6x4l22TrgM9wxcU08tloc72Uwwsh+2Z6bCi7GELj2xbdOCORmg1Vl7JrMd9LiTIJGo62QpIMNtd9tNIsBGlek9bUyw4Vz2LroE8zzNjS8HEtoz/Y/0Tuqrpvc83m+nHhAUuiYJxJpjq5AHb9YKPfJrk002x5eMDJHFyebeJYuXuw6j1/XxgmeTtpM0goOwZjDS93BfZDCywuGcmNG5saJcIkn7/WChKONgO2DpZoBulxc9+WvyeOTRA1DYG1OPdupOoy3YnY1PBQGua6MQu9hDCTeJaJ5xg8vH+OuW5K2TFxbYM4lQyUXeq+zdOTHaq+RXkxVOLGnUP9tlvTyK/VZDs6rWtUcPFRCG4XGVdvrDFcyWOpf3Bwnp+6ZHjNatkz1aEdZfi2yTWb62tWx7lgqOJy2YYKz053ebq9foXDgoKCly6u+3yzROfl/xrMU7d/FBQUFKxApn2H7PLPlPVAq9UCYHBwEIBHHnmENE256aab+muuvPJKtm3bxgMPPMCNN97IAw88wLXXXruirfPmm2/mtttu44knnuAVr3gFDzzwwIp9LK1573vfC0CSJDzyyCN84AMf6D9vGAY33XQTDzzwwGnXcixxHK9wLrfb7TO6Hu04QwiBZWlIzmjTE2Ia9N09q3FsPIMgd/9YlkkvSgnSPJW04pqEaQYCKp7N1oESE62AKNOUHYuSZ3HFhgpaCA7MdHlupkczTEmPSV5oRRmtI20eP9Km4ppcvbFG2bHZfekQQ2WHPVMdZjsJdc+m5looock6CtuziFNF3bcWBasAgUAYgrptkSqFQGObBo2yTZIqGiWbTQ0PQxhoNL0kd+0JQ/DjQ022D5bZWPfxbJNunLF3tsuTRzvMdCKkUswFCVrnraB1z6ETp7TChJGKS6YkYSJzd16cUfFsglRS8fIk1QNzXZTM31cLvYQgydg+VGasngcmLA32P9b5tZyaZ1FyjBWioG/nCaFBkvH40TabBzwqnnXS8ICTHWOk4rBl0OfZqV6/5VPrfBZclElSqdk2VGKo7GAIg0bZ4fGjbRzT6LeXVlyLSzZUmGyFTHdixucCSq7FloE8xXU1l91qCaK+bVIv2cx0EsZqPgtBwqGFgCTL13bjDMcUjNRcPNPgkfEFLENQ9S200gyWHYYqLiXH4mgz4CeHWmwbKjFS8RBCHJfoerrXqODio3i1LzIMQ/DTl43whR8e4f5nZtdMcFNa8/Ayd5u9Dme3Hcurdwzy7HSXw4GBNbRlrcspKCgoOCNW/EbVtAvBraCg4AWxnlwaSine+9738rrXvY5rrrkGgMnJSRzHodForFg7OjrK5ORkf82xM9SWvj/Vmna7TRiGLCwsIKVcdc3TTz992rUcy1133cXv/M7vnOYVOB6twbcNDAQnlsjOcJ8KDAt8xyBMFdkpdquBVMN8L8UxU3zHwjQMXMsgUyAzSb3uYRiQacGmuodjCqa7CUprtjZ8XrVtgIGyS8U1KHsOTx1t89Rkh1a40mPXjSUPHVjgoQML/M/vH2TncJkNFZdtAz5DZQch8lAE17HoxQnzvYReDEm2NBxfY5u5IGabBt04QxgQxoo4y/Bdk9lOgmUKZnsxelFdNAUcms9wLZPNAyU6ccqTEy2avZQwkWyouGSZZC5MMEXeqtgKEwwhmO+lCARBnKeZOqbJZCvG66WoxZpmujFpqrDtxfADqdFKszghD9s0yFQe/nAyeolkoZf2RcHlSKXxbXNFeMByTvcYhmHw6p1DzHQSnpnq9Ge5TXdiulFGo+xw9aY6hsjvG6XMj9tLMoIk679GpiHYNVxmrOYx1Ym5dlONeslBLgplZcdc8fm0WjCEEIKxuk8vln1hM84kU62IXiYRSrNxwEdoiKUiTCTbh0rsGCxhmXnQxtIxGiWHg3M9GiWHzY3V73lP9xoVXHwUgttFyOsvH+YLPzzCN/dM85u/cOWa1LB3ustCkA8XvXbL+na3LTFSdblkpMzemR713b+81uUUFBQUFBQUFBScBrfffjuPP/443/nOd9a6lHPGBz7wAe68887+9+12m61bt5729mXXwrMtHPPcCacpYCjwnLx9MzvN8XCRhFiC0pKqbxAmklhqDN9mvheTZBrXzNM/TUPTDDPGZwMmWxENz6ITS0q2yRuuqnDdq7ehtWZ8vsdjR9o8ebTFZDteISmmUvPMVJdnproAbKp7jNU8bEugpObAXJf5XpbP4RLgWWBZFlrnzrVMKQSCUc/Etw2yUDDfiXk0W8AxTKqeya7hCgMVhyDOiJKIqXbMofkee2d6HG2GmAKONEN826AVZIRphmnk7jffMvK01kwx17W4dKSC5xh0owzQlNw8BGJ8PqQbpWhgQ9llrOERJYodIyU6Ucpz0222DpYxDU4ZjrGaC2wJ0xC4ltEPD+CY39elUmEZ4rQCOLYOlPjF6zby8P45Ds+HtMOMTpSya6TMyzY3GK0+H6hgmnnrbStIeW66SyY1mdZYQlAv2QyUHGxDcKQZ8dx0j0xpLEMwWMkDDJbcbqsFQwB9t9xjR5pYpkEvznBtk5pvsXWwQtkxmepEHJjtMdWOUVpTcW02NvwVgp4QuenFMldPez3Ta1RwcVEIbhchb7h8A4aApyc7HF4I2DJwYQfaaq15aNHddv3WBq518cQfv2bHIHtnepSvej1HOxmvXOuCCgoKCgoKCgoKTsgdd9zBl770Je6//362bHm+Q2FsbIwkSWg2myucZVNTU4yNjfXXPPTQQyv2NzU11X9u6f9Ljy1fU6vV8H0f0zQxTXPVNcv3capajsV13RfU1jtccRipuTwzfW6dirGCmeDMgxg0EKQa21KUHJMozVhQEtMUGAJqtsXTk21MA8JEgtC4tgFCIBW0k4zvPjvLy7c2GKt7DJQcXrNjkNddOoRGc3A25Lt7Zzk4F5AdM/jtaCviaCsC6DdLLq2wjVwMjNIMzzbwXQNLmgyULTY1fKZaEVqBZ1mYCAzy9sxeIiln+ayxrYNlbAPuf2YGIQSmEEx2QsbnQoJUIqWk5ts0SnkAQ1MpbMPEFAKnbNKJMhJpUvNNtDJo9hIkmiMLAVJBnEkmWhFRprBMg3aUEKYaQ8DGRpcrx2rMdfP242PdX0us5gJbwrdNyq5FMwwxVxFoF4KEjQ2PsnN693xbB0psrnvMdBPmezFPT3bYVPcoOSuVPN82QQgOzgdYpsFI1cU289mDM52EZ6c7DJQcLFMwWHZxLCNPp21FdKKsH+RwbDDEQMnp76cTpYsjmWy+9uQ0Nd9mc6NElEoOLYREmcxf53ZEO8yY78VIDZsHfEwBUsN0O2JD1WFzI29NXS7qnega5eKtJJP5a3ai1+XFyvmsf71fm2MpBLeLkIGyww3bB3j4wALfeHqat+7ecUGPv3+ux2w3wTYF129tXNBjn2821DzGPMVkZPJ3T3f5Jz+z1hUVFBQUFBQUFBQci9aa97znPXzhC1/gm9/8Jjt37lzx/A033IBt29x3333ccsstAOzZs4fx8XF2794NwO7du/nIRz7C9PR0P0303nvvpVarcfXVV/fXfPnLX16x73vvvbe/D8dxuOGGG7jvvvv4pV/6JSBvcb3vvvu44447TruWc41GsG2ozNefmDgv+z8bNHliqWPk4WutVCF1RK1kkSnohClBkiKEYKDs4hgmcaYQ5C6syU7E3NPTbGp41HybTXWPqudQ8Uw2Nzze8orNDFdcnjja4pHxBZ6b7hFn6rgalpMqsETu3gtSBSI/VphpplsRQZzRTSXNKMUxBK5tYZpQdiSxzKi6NjtGSoSx5JmpLolUtMN8zloiJUmWAYJ2mNKJM5TSlF2LMJUMVhxGqw6WaTLfS9gyUKLkGHxvX5dWkKG0YtC3UVpzaCFkqhMzWLGpuTYVz2K+l5B3MApmujG7RipsGyytcH8tcSIXGOTtl55tMFpzafYSjLLoC1YLQXLCsIKTYRgGozWPDVWXVGomW9FxghtAL84oOQaule9b918gTTNI8W2LjfXnHWeebbKx7h8X5LAUDHFwrsd8N+m74TY2PLYNlonSPJSivhissDRXbsB30FozWvM5ON9FaZjvxTSDBNfK211TqRirD7J5wOfQfHicqHfsNWqF6XF1HOvKezFzPutf79dmNQrB7SLljVeO8vCBBf7hqQsruGmteXj/AgDXbWmsaqld71xRl0xGBt88GDLZihire6feqKCgoKCgoKCg4IJx++2389nPfpa///u/p1qt9meh1et1fN+nXq/zrne9izvvvJPBwUFqtRrvec972L17dz+k4E1vehNXX301b33rW/noRz/K5OQkH/zgB7n99tv77rJ3v/vdfOITn+A3fuM3eOc738nXv/51Pv/5z3PPPff0a7nzzju59dZbedWrXsVrXvMaPv7xj9Pr9fqppadTy7nGEHBoLjhH09vODQLINESZRGu96N7KaPUkvqNwLItOlJAqherGxKnENg0GSza9RGEb+RzpIEmJM00rSDANgx3DJQYrHkMVF8cyecW2Qa7aVOP7e+eY7kQcmA2Y6SXHhS4AKA3J4sMKiFOFa0EQQZxIDMPAMQxMBBqN0pqZTsSCaTCUumzfWUYrzdNTHdJMcnghoBNJPMcAkc/2Wpq4FiYSyzbyFlAjd/a1eimWLVnoxTxycJ6Gb2EKGCo7TLZDproxSkGjZGMbgizTJKZirpvkraCOQc2zcE2Dbpwy0QxXuL/61/4kLrCFIGGk6nHDjhILvWRVwepMxZDlLqbhiks7TI877kQrxBSC110yQiwV7SAl0xmWyMMLNtQ8HMvI58qdIqRA63z229YBn9FaPgvQtsy+e0opRcnJhU7bNOhEGZXFfQohqHoWQxWXXpLRCTNSpdjSKFHxDIbLZUqOyaH5kG1DK6+RaeQz3sbqeRBFK0h4/GibXpwxUHJO6Mp7sdIKUx4/0jov9Z/Pfa8lheB2kXLTVRv4g688zQN75+jFGeULlIZyaCFksh1hGoJXXGTutiWGXU106HG8rdfwZ9/exwf/ydVrXVJBQUFBQUFBQcEy/uRP/gSAN7zhDSse/8xnPsPb3/52AD72sY9hGAa33HILcRxz880388lPfrK/1jRNvvSlL3Hbbbexe/duyuUyt956Kx/+8If7a3bu3Mk999zD+973Pv74j/+YLVu28Gd/9mfcfPPN/TW//Mu/zMzMDB/60IeYnJzk+uuv5ytf+cqKIIVT1XKu6YQJT0+0WUVjWjOWvGat+PmighTiTJPpFDORpIp+62aS5UP8DQGZ1hhAM0wJEpuykzFaczEMTTvKCJIeNc9mqQnXtUxGqi6T7Yixhodr5bPABLmr7USj7VMNaQoilQig4hpsGikjlaAZJAjy+XidKGOuG/HjQwt8O8roRhm2Cb1IYtsGvm3RjjJKjolpGPRiSSpTlNZki4aF6XZEnGl826ATpky2I1zLpOHbjNVdqo7FfC/FtARVx8Iy8giM4arLoYUevmWxc6hEnCqGKxZRrGgMO7SCdIX7a4lTucDqvs2Whn9W7X7LBbYgkbko2Uv7x3Btk4on6MVZ/7GRSv5qbRksIQSEqURKjWkKMqnoRBmCPNThWJaHFLTClAOzXY62olwwtQ021T12DFf6tduWyca6x1QnYrodE2d5a3MiFfO9mCDJqDoWmdLEmcK1DAbKNleM1Rir+1Rci4lWSDNIuGZTjSBVzPcSjjYDelHKM2GKKboshAmGMLhkpNKv9USuvBcbWmsOzvXoxdkKF+S5qP987nutKQS3i5RLN+SW4fH5gPufmeEXrt14QY778P58dts1m2oXTORbC1oP/g3e1mv47EPj3P6zlzJQdta6pIKCgoKCgoKCgkW0PrWS5Hked999N3ffffcJ12zfvv24ltFjecMb3sAPf/jDk6654447+i2kZ1vLuWTfTI/5MEG9yEMTNbnrLYg1hpCIxQAALQSZzpNR54O8nVMY+QZKK3oJHJwPKTsWlsjdTJPtkJ1DZZJMkylJlEoyqXEMwXDFZT7IEGgcrQkThdL58Vd7Jy093o4Vjx/pUi9ZlOx8IL5vm1imyXQrZLab5MPyDYFjGiQqwco06aKLyzYEtmVgJBJDCFKp6USSTC8GFCDoCEGY5nPxqp5NO0ppxxlaaVzLoBUkGMLGMQ2UFiz0YizTwHcstBZIVJ60qjRS6uPcX8up+zbXbq6fUFQTQhy3zalY3ibYjlIOz4dYpuCy0SojVZcky110Jcfk8rEqJcfMX2OteeTAQn+uXMm2+oENARkoUIstvseyFFIQJJLHj7Q4MNsDDcLI3zOH5gKm2jGv3TVE3bcpOyZbh0qkSuHbkul2yEKYIDQkqQI0mwb83JFXdunEGdWSzWjN61+P/nUdknSijKeOtokzyVjNw7VNWkHK/tmAgZLDaC077jqe7HV5MdBLJPPdhIHS6ve9L6T+87nvtaaIybhIEULwj6/Jh6x++fHV48TPNUeaIYebIYaAG7YPXJBjrhXRvkfY2bAIEslfPHBgrcspKCgoKCgoKCgoOG06cUaUyNXVpBchklx4Q0OUKsI4I8kkCk2aSXpJ7nazLBPPMjCFQCpNL0mZaMVIpdg/3WPfbJenJto8sHeex460SJSiHWeYQuOYEEtF1bNwrbyl0zbAXqbnrOatkVoz30s53Iw53Ix5drrHkfkeqZT4lqDk2giR1y0EJJmiFSZkUtKJJZ0wRaORWpOpXCwWgG0KUqkIM0WcSqIkY7YTE6WSJM3Pea6X0EsyJlsx+2e7HJzrcXChRzfKCKOMbpzm7a4aLCEwTbHC/bUaS6Jao+RQca0X5ChaahPMZ7SZJJkiznKxc+9MdzEZ1KBespnpxBxeCKl5FhU3/xqsOCwEyXH7zQMV8tZof5URRgtBwmDF5sBsj6cm2ggBtZLNYNmlVspfj6cm2jx5tJ1f78WW2pGqx0DJ5vKxKgOe3Q//2zRQZrjiAnka6a6RMrYwmOpE6MUfIts0aEYpPz60wFcfn+Anh5vMdxOONEOCRGKZ+Sy5TEom22F/uyVO9bqsNSdLsoUXVv/53Pdas77kwYIz4heuGeO/3b+Prz81RZTK8z5P7eHFZNKrN9aoeuuvv/pM+RdXVvijB5v8+fcO8Gs/veuidvQVFBQUFBQUFBRcPDimAYj+fLIXE4ITu8rkYrun0oDUJIlELj7raABJS+vFBeDYgoUoYUPm0IwSpMpdW5mUSCVwLCjbNp5tsnkADi0EtHoJ2WLQaqpWJpY6hgCRC2HZKq2nGmhFWf/7TtKl4VvYpkE3SolThWEKXPK20m6c0l482JL+GWcS0zRwLSMPPdCKONWLs95SotTEsQWGMEgXQx8yrbFME0Nr0gxmk7wtUpgG126uE2eSkZqLb5vEae7+sswz996cSYLksW2CM52YPZMdMplfgyPNkIVezKZGiTRTBKnk0HyA0oqrNubzuk42V27HcBmAyXa0akjBcNnlkQOTWIZguPL8zG3XMnErJkebAXsmW1yzOb93Xd5SKxXMdhImOhGbGh6b6z5SKbpxRtW3GSovzmTrpYQNScm2WAgSjiyEJKkkzTSbB3wMIZjpJPTiPO3UEgLDtlZst8SSK+9sXpcLwcmSbOGF1X8+973WFArBRcz1WxtsqnscbUV865kZbn7Z6rHi54KpdsTBuQDBxe9uW2L3Fo8dQyUOzAX8/x4a59/99K61LqmgoKCgoKCgoKDglIzWHGyhTzirbC0xYFFEOx697GsxWLIviC21xy65YCxDIIQgTSUT7QjXNnBtg2YvJdMKyxRsGyxhGYJunGEZBlsbPgfnewSZOk70kwpipTEMjQmUfBONxjVMWlFGvMpAvDjTTHVSIBcSTQGG1sSpRGmNlIpU5fvWi+eeSDCUQiy2xyYSssXtXVsgEMSpBJ2BMHBMQZBk1DyHsmdhCFgI8rlxnTBmppOHvI3VfASChSBhY8Oj7JyZGeNMEySXtwl244znpjssBCmjNRd7UUx84mib6W7C1WM1RqouM52YiWaEVPSH5K82V26s7jJc8ciU5mgzoBulSM2KmXPdKKUZpIyeIOBuoOww1Ypoh2nfLLLUUrtrpML24RLf2jODbxtEmcQENg/k17DkWEilyXRGJhU9nfGTwwuYRj4frh1luJaJIQQjVZOZTkwziKn5FjOLgRZS6n6LLHDWr8sSZyKGng0nS7KFF1b/+dz3WlMIbhcxQgh+4dqNfPo7+/nyYxPnVXBbcrddMValcYLe64sN0xD8Xz9zCR/428f4s2/v5627t/dtxwUFBQUFBQUFBQUvVlzLxFhl9tWLHUUuSgnAsQANscwflwqiROLZeXiAECa2aWDZBlLlzq9mkCAMg6ptU3HzQfyebRKkkiDJWAgyyo5FplIyqZEyb2XNp3jlB5YKpABL5YEGAoFrCaquQGqDXpKRrKIYLs2jW1Ly2lEuDBoCbBOEBNN4/lwSqfJjLd9egWVpTC0IEo1AkSwa6mxTEEtFkioMI3cMKQ1hmjFWc7EMwUQrpOxabBss98WY0xFqziRBcml/c92YbpxR9y0OL4TEmWKgZGMIgSBPebUMgWMIOnGK5xiUbJNNDZ9W+Hyww7Fz5ZZCF56Z7PSTQEuuxcaGx2DZ7dffjdLVe4CXrudSPOwxLLXU7hiuMNWK6CYZSoHvmFzmmhyYDZnpxHiLQtyzU10mWhHT7Ygdw2UONUPSTJFK1b83rPkW7TBj21CJZpiyEKSkSuXvS/n8DLuhsksrTM9YMDtTMfRsOFWS7bHvqzPd97bBEtPtmOemOwyVXapeHlLxQve91hSC20XOLy4Kbvc+OXXe0kpnuzF7Z3oAvOol4m5b4i2v3MzH/+EZJtsRf/fDI/zyq7etdUkFBQUFBQUFBQUFJ6UbZwjDwODEiZwXGhMwjFyAkiewuC3mImCI3M0kNQiZO86EWBSlpMYwDFyhsSwDlKDq2mihcS2L7UMlyq7FQi/liYkWWaZplC08y0CgaJQcEgnSlAgErTDrBygIcgHMEqB0/mAvSYkyTQgIobAM0Ebejnoylp5Wi+EPmlwEsgzQglVbVruxxkolnpWfrFxcbxjQjlI0oJTGEgLhaGolG61hthPTTSRl26Timkgp6cZ52uf4fLBCqGmULMqujWMZeLbJcNk+7QTJdpT1hZ9OnLJ/psdcN6aXSKquSS9Kme5EVFyLhTDBswzKnkU3zBBCsKXh49u5M2z5kPwlEawVpuyf7R0n/C0Eef113+mLMjXfpuE7LPQS/Mbx98DNIGHAd6idQJCa78U8dqTFnqkuriVwLJNNDY9dIxXKrslTE216SbYYguBScU2GKi6dMKMVpWRKsWUgb3u1DYOuzvBsk8Gyw0DZRinNbDfGMgRVz0aj+yLimQhmZyKGvlBOJ8n2bMgF1oAok8z2Yg7NB5Qci411j23DpRe077WmENwucl65rcH2oRIH5wK+8vgkt9yw5Zwf48F9c0CejDpUcU+x+uLCtUz+3T/axUe+/BSf+tY+/l83bF01KaegoKCgoKCgoKDgxUIrlAgBjgHRi0Rxy51eBlqvLGhJZIPFtkxj0eUmBFopnEWBSohcvHIdA7TOx7gpTaNkgwDbNBmtubh2LuBkSjFcdekEGe0oI8gUZS+f52abBkoq2knG8k7RVC/Wo3MXWjvK0IDnCCyRu33U4vw4k1ycE4tfxmJ9q13u/jH0icVGQS70SQ1Bop/ft5EHRCitsEwwNERS00sVTx1ts7HuM1rrIUQubKRSM1i22TFUQQioehabGyUcy+DwfMC39kzTiTIGyjZVz2akmrvjdgxXVq1rKUFyohWtEMMaZZtunPHY4Rbz3YR6yaYdpsx0Y6SERGZsHvBRUtGKMoarLmN1HyFWD3Y4dibcEkvC39FmwNOTLS7fUMW2TMqOyRUbqzy8f56ZTt7OaRsGqVK0w4xMaa7YVF019fLQQsAXHj3CvukeaSqJEw1kHF0IGJ8NeOX2OhuqLr5T4tINVTSap492FltIPeJMESQZM52Qmu8glUYuCmwjVY+XbaotzhLMHXv7ZroEiTxjwexU12S5GHqu3GGnSrI9U5YLhqNVjy0DucNxvpvgOibbBkrrVmyDIqX0okcIwS2vzEW2/+fRw+d8/wuJ6Lvbbtw5eM73vx74N6/dRt232T/b4ysXKBG2oKCgoKCgoKCg4GxxbQPLMFjrGeQGuYgkyMWoNHu+RXLpedMA1wLXzFsvbQMc28AyDSqeheOYz5/HolvMsyxMA3xnMSE0U0ipiTNNM0hIs7ztse7ZeSqmbeIYBjsGfTwrF0JiKfvi1/LLpMhbQ9NMk8o8/dMxLQQC2zJxHas/T26xpH7Qg2XmIueZSBNi8fh9N6J+XoDUQJbp3E2nIclyURDy69QNMw7Mdfn+vllm2hG+bTJUdmj1Ur63b5anJ9t0I0mmNDOdmB+ML9CJMyxLUHYtGr7NM9Mdvr9vYdW0UKDfVrh/ttsXfjzbxBQGIxUPQ8DRdsihuQDTEAxXHTSKONO0gozxhYiSbXLpaKUvfq02JH/5TLhj6cYZC0HK9/fO853nZvnB/nkeP9pmy4DPzuEyYZox3YmY7Ua0whRQ7Bwus7lRopdItH5eVVVKcf+eGZ6b7jBcc9k84GNZBp0koxNJHj/a5pEDTWqexeWjNUqORcmxqPoWs92YXpJR8yyqnk3Fs4kSydFmiGsa7Bgucc3mej8Btu7bzHZjgkT2r5shRF8w68UZ4/O9FfUt52TXBJ4XQ3ur9Ti/AM5Vku2xguHS+2aw5HLphipKacYXghOe/3qgENxeAvyLV2wG4IF9cxxphud030828770K0arLzl32xIV1+LWn9oBwCe/+dy6/kAoKCgoKCgoKCi4+Nlcd/EdgzQ79doz5XRbqJbmsFlG7gYzAceGsgOOCbbIXWFlx8CzLFw7b3H0XYu6b+HbZj5byzapeQ5V36bkmjimQZjm7pswyag4NhsqNsNVh1aYMtWJmGgFhElGM0joppJOLIkzxWyQkiiNbQocy3jeTXdM7SseE/k5pEqRKZ23ux4z1tli0YEnc3fcmcgTS4KdZOU8uaU016WXMFV5Gyqa/py0TOXBDQthxp7pLkmWzxXb2PDpLLrdenHKRDPg8SNNOmHKtsEywxWPIM7TUkdrPrPdkAf2zpDJ498wqVRkWtMOsxXCj9aaTpQyUnEZqbo0wyQXHYXBzuESY3WfimdiG4LBss1Q+fltF4KEoaqzYkh+JvPr61grJYxOnPLERJPJZojUuaOx7Frsm+nyrT0zxJmi5JgkqSKRirJjMlx1MQzBM5MdfrB/nseOtBaFOJjuxDxxpEnZtfBsk16icEyDLQM+l4yWGau7HGmFPDnRYT5ICNI8oCJKFVPtmB8farJ3tsd0J6bqWQxWHK7bUudN14xx7ebGCrdWL5HMdWI8y6QTpQRJtuJe8lSC2fJrorUmSLIV+1lyCqaZpBsvvt/j7KzvV7XW52Q/S6yVYHghKVpKXwJsHSxx465BHtw3z18/fIg7f/7yc7JfZ+PlTEb5UNLX7npputuWeMdP7eC/37+PJ462uf/ZWX7m8pG1LqmgoKCgoKCgoKBgVRzbYrjscMgIXvAQtyXhZ+nPjZJBJ1Jk6sRpo7Do/NB52qggF6kyCa5jUnMEMtUooTGFwHdNXNPCsfOUR8MwSDOFa1t4dt50KqXGs/IkBVMKLCMf8m4a0A4zSq6DZWgm2jGtIEVJhTDAsy021R1aYcaRZoQwoBmmpMeEFixHLX75Zj5LLslU3v4ooGRbmALSZeuzxXM1yJ1uL4Tlyaxi2fdLj2UKTEOj1GK6qYQgTpBKsWeqw1g9Zazu5TPRggRh5IP+jzbDvoHCMgTTYcr8+EKe9hlmfPvZOTKZ3/dtGyojFmXDhSCh4eXto8vFsDCVtIKURslhU90nSRVxliEQNENNN0qZiDIGyw5132a6HePYBvPdhKpvs22gtMI5ZZlG/1p7di7EdaKUhw/M5w4yy0QqxaH5kA1Vj24kOdqM2D7s86odA7SjjMPzAfO9lLJrMlr1Vm3fnO8mzAcpm+ouM52IXpJRdu3+3MCGb7O/l8+nU2jGankqadkx2TVcphUlzLYT5sOY56Z63HjpIFdvXL0tdL6Xz0I3jEUHpBDUS3YuRrrWqq218HwwRS/OSKVivhvTDFNaQUqmdX8/AyWHOJU8M9UlTOQLClQ4H8EMJxJRlzjR+a8nCsHtJcKvvHY7D+6b57PfH+eOn730hG/qM6Hx078KwJUbqydUpV8qDJQd/s1rtvE/vrufu7/xXCG4FRQUFBQUFBQUvGiRCgbKHjXPIArO/mZ2qd0R8nZPxxYMlBxSHZMkOg8fIL/pXM1Ml6nc+eXaeVql1Pn8LsMQYCmEFhhCsKHqUvMdOlHST9zshBn/f/b+PMyy6y7vxT9rrT2fseaqHtVqyZKsybLkCE9gwMEDN8HgcGNiLpODE65t4jgXCISQ2OE+XIYEMJMvPGCG2OGGBEwYYuKfnTDYwrZky7aswZq6W63umqvOuMe11u+PdarU3aqWWmNL1v48T6lVZ9h77X3Oqe791vt9X4Rrj/SEa+gEge8JtkcFzdBjKvZBCrJKk5UV00lANw7ojXI0ECJZ6sYILPevj1keZBSlfUyh8EwKDZ4HRaF3c9hGmT5vVtvTLRvspd1pQJyz/6w0VNaw1s/oj0u2RgWeFJTG0huXZIVhkGtmmmCxbI4Kjm2MiH1FK3KOwq1Rya3Htzi5PeZrjs7yovkWpTY0Qo/Dsw2+sjw4SwzTxlJZS6gm4ujk+rOXlVQVBErQihXtyON0P+UvvnyauXbETCMkUJLjm2MOwW7WmZKCqYbPSj9nqRMzzCvuOt3n1HZKNwnIK0MnDhmk5W7o/uGZhCzXFNo6t9SwYLyVAYLQk4gzxjdP91LuPNVnY5CxPS4YFxWboxJPQhyUzu0oBOPCUOqK+U6brNBsjwpWBgXTjYBG6HNwKkFJyVX7Wi7bDDemOswrEl8yLs1udts9ywN6ExdgI/QotWFtUDDKNUfnm26s9pzR2jOFr1IbHtwY8dDmiKV2wnw73B3xXRsU3Ls6YCoJ8JRguhE+6UKFZ6qYYS8R9Uz2Gi1+vlELbi8QXn/NIgvtkJV+zp9/6TRvmoyZPlm+vJYTH3kpAsvNR2aeplU+v/n+rz3C7/3tMT7z4Ca3Hd/kxsMvbNdfTU1NTU1NTU3NcxVL6EuWug3WxoM9hZsL24oTdlqh4KrFNknos9iJ+PyJbTbHOZvDEmH3domJyX+UgshTSAnKCqYaAUoIfF8yLjTZJEzel5KoFdGJA5SEU9sZSkAceMw1A4ZFReh5jIuSjdhjthHRTXyyyrCvk3Df6pC81LRjN366nZaMqooH1oYM0oLT/YyqunCxDXbELYMQAjlRuUpjKS6yIac64wWddEcgjEEbyca4YHUwBqFQArbHJaEnEFZMzrXi5HaGNTDbDFgfFQxzzVTicWimweog4zMPbFCUmpsumeHF+9q0I5dfttzLdsP7lRR4QqC1YX2Yo41FCJd9FwcKhKWrAiJfUmpL5CkW2yHXHehSaXhgbcjtJ7ZIQg9PSkJP7oo6p7bHbI4LBllJ6CnyUhMHHoudCCkED6yP8JQTqyrr3I8pmv64ZKkT0RuXpKUmCR6RQ3wl+dyJLWYSj3bsc3Jz7MZ3rSAfFygpGBaaYVaxrxtxcDrigbUx96wOiAOP4xtDTvfGTCU+c82YRuBNxLEN1gY5EkGuNYGnCJXk5NaYQhsW2xHjoqIV+YSeYq6lWBvkLPdSkkCxbyreHa09V/jyPcHJrZRhVrFMSivy8KJHAg23xyWx77E0KaOAJ16o8EwWMzQCxXQzOOt9cyZb44KlbnTWaPHzjVpwe4HgK8l33nyYf/+xr/DBTx3jW16y70mHGxpj+eDtfQAuaZrndWvI08lSJ+Zbb9jPf771JL/6P+/nN7+nFtxqampqampqamqee3hKEvuShVZAwxcMywuT3HYuHndGKsE53Jqhh0XSTQIWmiHdxGNYVPiqxFYui83aR1xuO6OQnnDPDzxJXmkElqLS+MqjoRSXLCb005KvfdEsge8RSoGQkkYgWRuWtCOPQV6xNcoZbRgiX9KJncOoqAwP9zKUhF5aMS7c7GovG1OUbpy0HSnWBwWbo5y8MFT27BHZC0PQjDyysqLEUp2h2O00lV5sCu1cVpUtyMud9lSNANJiSBIqlBSsDjNCT5JVhgNTMce3UrKiIis13cgnDiRH55rkpbsGbISSduRC8w/PNBhkFad7qXNBKUkUKO44uc0gqxhkrhk0ChTWWiptscbQSwuagc9SN6KXVmwMS6R0WWpfWR7SjBX7OrHLvhM4t2Pks9bPsThBr9MMWOzEJIHHKK8IPUWWa4ZFhScESgm0do67zkQI05PZXotlXGge2hqxPcq5bn+LA1MRJzdT8lK78WBjCZSkLDVKCkKlWO3nlJVxJRYW8sqwOihY7Wcc91LuPN2jGfq0Yo9D2rA1LlkbFMy1Qg7NxJSVpTIudw0E68OMVuTjSUnkSx5YH3H9gS6HphuukXcP4WtcVgjgpYemObE14vR2StU2+FLSij3m225sdkdctNaSlhptnMC53s8Zzeo9m1p3eCI5a4+1nb3Y632z49DbGhc0Qm/3+J+v1ILbC4jvuPkQv/w/7+MLD23z1/eu87VPcuzxv9x2kge2Kkw+4sX7X7hi21133fWo2149W/EHwMfvXuWPPvFpDncffX5mZ2c5dOjQs7DCmpqampqampqamkcTepJ9nYTNQY6vFKqsLkgY2nG0WSAQIKUTzfppyahRcnB6htlWSCcO2RyVbAiB77mLe20taW5296MBZSCOFP20wlOC0FNIKcm1ZrWvyYuSqUaAFIL9nYR27FFqy+Yox1iLtrjcrVGBEBIpBFlZsTbI3W3W0m0EZIV2Y32Zy2VrRx4g2BoWbI5zqokr7ck4/crKkgSW2JPOVSWgl1VYA4EnyJ+ga+6ZwOLaS8vy7NulcO63ojJOaPSsE5gqw/J2CsK9Jq3IZ6ETkxYGKS0W6CYBm8NyV2jpxD7X7O+clfOlBFTWUmpNMJkrtsay3HPbjnzFMK3o+xW3ntjCaFjupWgL2+OCbhwgDDRC117ZTyuOb4x58VKLI7MNuonPiY0Ry/2cUVEyzEvURJvJtaE/Ljk4kxD7ihSNgt2W2qIyDLKS5X7G6iDnvuU+UknuWx0SKI/L5xLuOD1gmFdEgWJcajwl2d8OmWuGnNga0/A9Dk3FbKalExiVZLrl0x9XbI0KIl8yyCx3PNwnChT7p2K2xwXLvQwpYbEVszEsaEaK0JMM0orKVkigE3u8aLG1a27ZS/jaERGnkoAXBS16acWls02asUelDYPMCXLauLKD5V66m/MmcELhpfMNIKLSBk9JNwZ7hsD1TOes7fW+8aRgqRtxaPrJ58M9V6gFtxcQs82Qt958mN/65IP8h499hVdfPvuE1eKtUcHP/MXdAGx/8j8RXf5dz8RSn9P0N9cA+M7v/M4975/9ln9J48pX8faf/y+s/+nPPer+OEm4+667atGtpqampqampqbmouB7iiOzDU5vjQEnvOgLUJt2hCMJIFymlecJ1xYaKPKqwlgf3xMkgUIJgbFu26W2CAkBzqlU6IkQVBqEsCjpuUwnJTBG0C8KslIjlaSXVtx5uk8zVOzrxix1YtJSM8xLTm+nTDUCWpHHl05uY4ylESi09UkLzTArWRkUKIEbT/QE3UZAUWlObVcMMo2wT05sA7AG2olr1Ax9j7LU3L8+Iq80Ugrsk97yM8vOqKkn3dig73kT15/PIM8Y5s4xOJUoDk0lRIHCWNgcZfhK0vDVo4SWTuxzzb42a8OCtKg4tiG4cqHF9qgkrTSr/YxBtiOOOtedkM6ptTksmG+GVNpwYiPDU9AMfUprsVYQ+m7c8tS2O7+HphL6acWp7YwvPdxnKy1QQtAIJb6QlNYy345YbMcIBNpY+nnFPcsDljoRd57uM8hKkkDRCD0Qgnbk85XlAQ/1UtphQGvi/FMSmqGkGSi6jZDttEQK6CQ+mTakhROrpBIkgc8wM/gCtsYV3djnvrU+se+T5hXWCtYHBd3Eoxn5tGOPrNBcOtdATDsnXmkMxlimz2hu3Uv4UsqN7ZbaEEiFJzVxoEh8jzEVVlsyY1gfFqz1Mypj6SQ+vpKM8oqTW2M+ducqi52IyFN7FiE8Gzlrndjn2v0dRoU+r/D3fKUW3F5g/NPXXMqHP3Oc2x/a5hN3r/KNVy08oef/uz+7k/VhwcG2x/Hb/hS+54UnuKVDN077zf/kX3HFdTc+6v6tQvCJZWhc/XV82999Bc0zPmUrJ+7nQz/9Q6yvr9eCW01NTU1NTU1NzUWhESgOziRMn/ZAPPHmTJdt5UZJJZZCGsa55gsP9dgcF1SVC7mPfTVp+7REnkQbi7YGa1zJgied2CelJFASYy1prim1G+HzJHhSMcpLsrLgvrzijof7HJ1vcKCb4MeCbhIwyiu2xwWFtjRChe8rFrsxx9eGnNhKGRUlsa/oxD6Rr9DaMs4NQrgCiackiUnYSkuKyhAHBmOhNJMRWmN4LksGBiiM+9JW42mIfEkr8smqitlWQOIrJ4ilJdoYNocFc02frTRnphmdN9B/mLt8vEaomGkGYC0Cy/pA0m14DDNNWlZIAYGSk6ZaSTP0yaohs3HIeOJMlGecxG4SsNLP6Gcln31wi8oYolDSsR6lgX5WUmmYawUum683xhrLA+sjtsfOdeYrWBtk9MYl082ArHKi0SAr6GcVg1FJUVqUkjQnO/eVQgjL6e0MT4LvS9YHOVGgiHzJw9sp7chne1ywNc7JygpfeSz33OPbiaEZKbpxwNa4oDSaQhv2d5KJwAatyAMfTvfSR2WX7SV8xb6infhsDHM3jioEarJebSzL/YxxWbE9LhnlFfu7McZ4SE/QSwuUEmwMcpqR4sCUG3M9twjh2cpZE0I84ZHU5wNffUdU85jMtyK+++WX8P/+1QO890/u5BVHZ11o5QXw8btW+MPPPYwQ8I6Xdfgbs1fX0AuHmX2HOXD51Y+6/QBwf/EwxzfHnBJzfMPl88/+4mpqampqampqamrOgxCunCArLXl1YeOk51Ja2ByXhL4g8RVSuNHELDfkxjDbDNkelwyyCm0t1lqkEFSlAQG+lGAtpbGYyqJNRRL6FMZVlyoBzcCjqCo2RiWdOCBQguVeytowY7E9ZKmTcM2BDpHfYJhX7J+KWetnfGV1hBAQ+J5z2kmBtU6EMNYyyCrKytCNfDaGxVMqORAShqMS1RAEnkJiccFeTni72OOkF0quLbmGz50c4CuBxCJsjpIF3cTHWsEgq7BYhDD8xR2rfP2V87sOt3MD/T3lXE/jQlMZS6kNg0xjMKwPCtKycmKntfhK0ow8lBBU2uJ5kqzQiEBQSsm4qFybracQkzzAjUFBUWkQAk9IDkwl5JUlLXwGecliK+LkdsodpwYM8pJx5ooJZpoBaVnRz/Tk9S85MusRB4L7VjO6iUc7CdgaFRgsxsI4q2hEHovtkFKXSARprumNSnwl6CSBe/+X7li1ce5PKSyZ1nhCUWkYpJpxniGEIK8qNkYFy9sZ7djnyEwDX8nzZpftJXwJBEudmHGhOb4x5pKZhEBJNoY5Xzi5TRR4tGKf5V5KK/LZHBX0M5d9mJaGJPCYa4VkuSavDMmkYOHcIoSv9py1Z5Lnb79qzZPmnd9wGYvtiBObY97/iXsv6DkPbY75F3/wBQC+75VHeNHM3qGJNY6bLpkC4M7TfUb5C1uYrKmpqampqampeW5hrWVrVJD4krx8/Mefj8pCWrgcqdJaNBZfSvoj5/hqRs79M98K2NeNacU+ke8R+5ORwsk1usC5rbTRWANpobEIellFL3Niy9a4ZJBruo2AVuSTV5aHtsZ8ZWXoGjL7GdujktJYtDZsjgqakceViy1mkgAhBCuDnJV+jrCWykBpnFvoqUgF2jjx0VrNxqign2kiXxH64oLGdJ+LlBPxbW1UsjwouG91xKntMZXRNEJFpS3rw5w7T23z119ZY3OYnRXoH/kKX0kiXxAoyTgveXB9SF5VRJ5ECUuhDZU2aGuJfSdLjEuNEJbI89gYFqSlZpxVHFsf8+DqiIc2xyz3MnwlGBcVly+0UFIgpSCtNGCZaQYstWPuXRswzjUWl6/XSfyJ6FfiS0mgBHGgaEeTfMHKIiVsjyvSomIrLdkcFbvXcnllWBsV9MaaVBtGhUZbdwxp4WTVwFccmo7dWLSFUoMUlrTSbAwzsrLk5NaYQVqwvxMx1wwJfEFaau483We1n7HUjXbdZWeyI3w1Qo/TvZRsUn7gSecMW+qGeEpwbGPE3ct9Yl/y6stnuXyhhe85gUwI2Bo60S3wJLPNAE/K3SbXHc4sQoBHctYWOxGjvGJ9mLvX+jxrrXmE2uH2VcBe4f2Px/dcG/P/fDLj1//yfl5xdIZXX37+AoVBVvIDH7qN7XHJ9Qc6/PDrr+DLX/zCU1nyVz37uzFLnYjTvYzPP7TNqy6bvdhLqqmpqampqampqQFcAPuJzTH3ro2esgPLAkVpWevltBOfvKvxPcmoqMC6sbd+WiElDDONngS2B54imDjcrLI0Qw9tLL4SCKmYa/qs9gtKbTjVS2kEPjONEGNdq6SU0I591gc5xzfG9MYl862IhSjixEbKyiAnmYhpQgikEDQDxTAryStBVlQo6TLjJE/OiSaByrg/s8qQVxrruyy0Yf78Utseq521sjAoDKPSMMg1sS/IK8PtDxvWRyV3r/Q4PN3gyGxr9zn9rOTe1SH3Lg9Z7qf00hJPuEbXyJcoIREK0lIzSCtKY8G60gsQu/lwzSikGXlg4aHNFGstN14yxcObKZ3EZ6YREPoKi2uFVRLuPDVgXBr2dz10VoKV+J5gruWxMsjppxVgXcaesNy/NmKQligpqIxmXBl8KWiGPqOsIi01ooTIiyZNuD6LLY9hUbI1LhjkJVVp2B6XrA/cCG6pLeOipBP7xL5kXGke3BjjS8lcKyArDf204uh8g6v3temnFXPtiKuX2ki5ty/qfAUDC+2IuVZAP6vojUuGE5fhg+sjBnmF1pbCGqwFqSTrw5KtcYlA0In93SbXHfYqQjgzny8rnag81wzOu9YaRy24PY95vPD+x2Pmje+mee1r+YHfu5X/+n++iisWW496zCiv+N4PfpY7Hu4zlfj8yltfSug9tfnsFwJCCG46PMWffPE0XzrZ42WHpwj3CJmsqampqampqampebYpK83pXsogy3dveyzBBZyYsZco5QHGuovzqrKMspJKW/LK0Il9ksCSa8sodxlgUrh/KweeohkottOCtDQM8hJjJDNND9/A5qjEU5IkUGwOC/y2otKacakZZBUHooR2qHYzqvZ3YwaZxleS2Fc0Io87Hu5RVIZxUWEsk5wwJyxUBiqt0UYQeJA+iaEUKcEYN1aqtUXiAuzzM9pYny8IIFIQh4q0MGTVo+sejIW0NKQlbI01m+OKQEgGackDa2OiQHHJTJPVQc4n79tgbZCzNSoY5+51KauKtaF2QqcURL4k8CQG97pMJz5CCLbHFd3EJ/AlnoCsdMUWrVhNsvg81iain5qIqcEkS26QlayNcgIpGOYVgVKkRYGHZH2YkeWa/jinHfqsDTKS0KeflowLjacg8jzG2BuutwAAi5pJREFUZUXsK0JfIXBuOm2gMpZG7OFJyWI3opcqxkXF5rAkL10mm5TuZPpCuJbaUlNUBk8IkJCWFfcsD+mlFVOxh7Gu/GEqCRjnFePS0AzPL2KdWzAwLjQPrA0ZF5rZRkgjkNy70uf4+gilBNft79BtBNy3OsQY6wRPT+IJwcYwZ3WQcc3+DvEZ16p7FSGcmc+3I/StnFOwUPNoasHteczjhfc/HqdPPMAnTn4ZDlzNP/i1T/Gz3349r7t6YXf++osnt/nn/9/t3L82ohV5/O733cyBqeRpPYavZo7MNphpBGyMCr5wssffOTJ9sZdUU1NTU1NTU1NTQ6FdOYGvLvxC+XxiXOC51lMpLKXRSCGxuObRwzMxw9xw5b429y4PuH9tCEAnCRikFcZauolPWBq2RgVKWBJfUBrnhmuFPt3ExwD91Dlr0kLTjj20ce6qrrEkgcdsM0KbjNV+ziAr6Y9yskKTToQ/o60T9QqLJ11LozbOafdkCxbNxABUmYmYJ0HJ55ezbQeDa5PNCk11AWqhxTklP3eyB0DsS+5fHfLN1y7QyzQb/ZyiMlTWEPgSXRkqKdClBWuotBshXmzH5JWlKAxVCMZWbI1zsM691oo8Et8j9CUzjYCZZkggXTb5iY0xjcijl5YEcUBWaVb6GeuDnG7ssTXKaUc+o6Kin1ZYa9AaMmMmDrMSqTJmkwBPujHaUZFjDZMSAIG7NHYFIIEniTxF5CvSQjPONVhBWlaTchBBICHLDcaT+B5YId0YrXSjukVlyEuNsZbIa2AtrA1y+lnFVOKf5So7HzsFA9ZaTmyOGReapU7MSj/jc8c3uP34Npkx+FKRlpq5ZognBUGgyEqDBDqtiK1xSbjTemphZ7b63CKEc/P5Ak9SVOZRBQs1j6YW3L4KOF94/4Ww9v7v4e++7w+4e73kn/7H27hiocUViy1ObI65/aFtAOZbIb/xXTdx7YHO07jqr36EENx0yRR/8eUVbn9omxsOdS/2kmpqampqampqamoIlCAJPKYb3nmda+dyPhlACoEQllbko5Rkrh3RjDTb4xwrJFOJBwaWujHHN8Zoa132lBIEvnTh8lKSa+diagQ+YJ0QYCAvDTNNn/WRwQf2TUUcmnYh7pU2nO7lXDKraMcezagJ9Pmb+8dsjkqkEjSEoh0FWCyZ0WwPCxDaNWN6wgXYP8kcO8OuRuHaVgWkpX1KJQwXg533QGWASdHDE5UN09LwldURX/n4A/hKMJP4GGMJfVeOUWGptCUJJVXlcv/yCnpZSTPwUZ7k5FZK4Ll8NSHgkrlkVxwNvIC01JzaTrEWrj3Ypp9VrPRT0tKwNeqzOa7YHOYu1yzyqDT084reqCDXFiEExhh0pUmtU5gCJSkqV+phLLQCn15W0s80+7o+2gikdG7G2FeklcbmriBkfZizOSqIfI8khHFeuXFpXxIHHr4UZKWZ5K0ZLM4lGHgCYy0Pbaek965z/cEujdDDGrvbMnohjArN5rBgatLc+sn719kcZISBIkASSMXDWynrw4LL55tIIRhmGWNrSQKF5wl8KRlkFaO8wtujtMFae1Y+3w6Rr/YsWKg5m1pwe4Fj0j7v/boZPr6W8DufOsY9KwPuWRkA7i+M/+26fbz371/NVKMuSXgyvGi+xS33b9DPKr58qk+d5FZTU1NTU1NTU3Ox8T3FUidirR/RjCS9zDwhgWXnsloJKK0lQBB6As+TaGNIQo/5dkgn8lFKsD4sMNoy147Iq4p26KOkYFRoSm0wxhIpRewp4kCRloZOJBkVmlFekpUVlYXLZhs0YzcCGAWKfd2Y245vkRWayJOMS0NWVAyzimziImoEiigQbI8qxpkGAZHnBBFtoLKWEMX4Qmxde6Ams7jaQKXteYXJ5zI7Rz7R27C4XLrHOxYJIJyIdCaltiwPCiZ3O5eYnWTeaYOZPNdzWhyBJ+nEHpGn2NcJXZtmUXFqO2e2EdJPXcj/dNMnLw29tGSQaW443OVT95YcW9vmwY0xWWnoxB7tyJuIez6bo4xMG8rKIgVkpXPc5ZWlFXs0A4/QVxSlxvMkCsuwhHFRMcrdmQk9RWkMG6McbSytUFFUlqwy+EoQ+YpRXhF5ijBQbI8LykqjPImvBGlRubFZKdHajdcGyuULro9yPnd8i4NTIXqmyUObI2aa0QXlo1XauPFOBV8+1WOQluybalAaN4ZbakMzUPQzV3RwoBtzeDYh8T2uO9gl8RUPb6c8tDlmZZDTjX2Wuk7Q3nGsnSnq7cWZBQvNsJaXzqU+IzX4SvBjb7yKd3z9Zfz/7lxhOy1JAsU3XjnPfDu62Mt7XiOl4MbDU/zPe9b47LFNXjt/sVdUU1NTU1NTU1PzQqcRKA7OJPTSksvmWtzxcI/8ApUiMfnypcvdUkIglKDS0IgUoVLsn45ZaEXEoXLuJQn9rOLOUz3WBgWjoiQtNIPMtYp6UhB6ksIaRrmmEXmEnsRXii1KxllF4EmOrQ9pRgGteCdEf8xMIyCrDBujkvvXhtyzPCSrNAg3vkcBD22MybV14fe4xknPswghMZPcrQt1+p1LZSESkE1Ep+d7hPxOlN2FCLAGaCqIQw+LYJhrsursN5LFiWo7jxeTuzVuJLfyDKO8dNligaS0LvMvLwwnNkas9FJmGiH3rw6dQFsZ9nUjTqw711VRauLAZ6oREPuKxHfNuOujklPbKXlZkRUaY1wzrZJQVQaDa7MNPOVEsyDAGkMj9BhXlqFxRQ6hFO49b13zaFEaTqUVlTG0Io/KCMREgu42QrCGsVKMiopAObFRKoECPOk+JwjncCsrgyclJzdHrA9SHtrKyMqKbhxyYDrmZUdmOPgYkU6ecll4K4Oc1V7GTDNECUHgSUJPMsgr8sod4/qg5NLZBkudBAE0Q48k8Dg0I2hEHtft79BJAhqBOsuptiPqBd7e7+y9ChZqHqEW3Gp26cQ+b77xwMVexlcdV+/r8LkT2/TSkq/06+KEmpqampqampqai4sQgsMzDXrjgiNzDVaHGctbOXtNVu662QDfm4wdWlDKOdo6kYeUrrnxqsUWLz3cRSnJpXMun2qln7PUiWlFPlmpCbwUbUMeWBtxwGtMxgUlp/sp47xCKQiVG2XzlKQ7abVsBAptnHjRjrxJbhxMNX2KyvDZYxtsDAsqYxBWECqJtYK00JQ7ZQ3WjQZqA3mhEdIggNJYnsow3JmFpEo+ku321Y4EhJKklUEbmGsGHJ2NuGtlzNa4pNCPlu3OvKUChoWh1K5QIw4D0twVXLQixSDVrJQZ68OCxsQVOZW49tov9LbpjQvakQ9CMJUEtCIfbQyltiy0Ah7eGtPLSkrtxkWtde9ji6XSMCoqOmWFlD7NUDAsIM01ClfoYI1hLXVtu3Zi0/N8Jwoa7coF4sBzI6LajavuFEJI4ZpWEZaiBCVd/qAQgkAIDG4bo7xkWGpGBZQa1qdyOnHIvSsj1gYFb7xu6byiWyNQTDcDvvjQNoW1RL5EIkgCxTBzjrvpmYBCV5zezpltRpTaMtcKdksStsclB6Zi9nXjPUdCd0S9ojJEe5QA7lWwUPMIteBWU/MMo6TglZfN8OdfWubegUQ16/KEmpqampqampqai0sn9jk63+LofJv+OGejn2M0eMqNCErhxiUtgkJbYg/2dRM2s5KyNLQiH08KppsBSeBz7f421+7vIiU0I5/DM00AhrlrRJ1KAuZaEae2Mx5cGyEFzLRDhplimFccnWux1I0w2vBwLyMtKqQQzHQj+mPnNrr6QJteVtKOPA50EyJfcbqXYhVsDgvSsqKo3IhqZSHyBcZIqsKCMUjlRA0LBEAgBaXWCCOwuItjJc4W0C6EMx9evkDENnCOtbIyIAQCN7LpSY/FdkjoS8ZZyajQj9kAW03aP8dlRZgZQuUEo24SkFfVpNUWSq3JS8P6sGSqAf20JKsMqjQU2uWkTcWaTuwxLDTLvQKwtCOfwNOMsso57YTL7cMashJO91M6cYUkZDuraAaKXOuzygSEFEyFHta6FtTIkxhjCJRithHiKYEeFfSzCotzbDYmwlyaa4x1TjawrlHVk5SVQRtDYSxKShqhQkpYGeYYMeQlh7psDApuPbbJ/k6053jpjnB+YnNMVmqGWUUr8mkEHhvDAoGgk/jkpWTdK7l/bcAls03mWiF5ZR6V17YXO6Leci87K8Nth3MLFi4Ea+1uy+pOZp3LdZSPctg936kFt5qaZ4HL5posdSJO9zI6r3rrxV5OTU1NTU1NTU1NDUmguGyugS8tdy8PyYzZde7shMiLiYBgrEAqyYFOQqAkC92IUhuUECx1Iq5YbBEHiplWcFYG1DX7OxzfGLE5LNjOSnppQamdyDDMK0ptyStNaSxzjRBfSYaFIQkUrShgqR3wpYf75GmJAbpxQFFqhOCMC3OLlDiRpjQcnmmwNszoZxWelFhTOVfSxJ3XDBVRqNDa/XLcWL0r7AQC8icX5/aCpNIQBYJOHLj3ixRYJPu7CauDnEKPSavHVzAtTAoGcC2noxJfCVqhmhRzQGE0W2lJZQxpachLi6c0s82QjWHOVlowyEqGRUVeahBu5NkYuzvWqieuMyWd2JeV4CvDxqhAG9gqLVGg6CY+p3s5Ugo8KQl8RaUNs+2Q0FOsDjK0hvlOSG/i5isqw2wjYHPs8usST+FjGZTC5dYJN346Liq0drmJelIsESmBQDLbiEgLzYNrQ1403+KhjTFrw4KF80Q9dWKfVx2d4f7VAfesDEGAQnB0rgE4wfu+lSFxKEl8xSAtuWu5z1In5vBMctZndS92RL1BVu0K576SlPrCBLtz6aXl7s+DflayMXTC6FQzpBv5TDcDDs889poulDOFvYsl5tWCW03Ns4AQgldfPst/vvUkzev+Lse3S156sRdVU1MDwE/91E/xh3/4h9x9993EccwrXvEKfvqnf5orrrhi9zFZlvEv/sW/4Pd///fJ85zXve51/Oqv/ioLCwsXceU1NTU1NTVPDU9JfCVpBB7dRoTvuX+3bo9cUUFaaQQCT7hWxnbkcWAqZv9UTDMMWB/kXHegww2Hp2iE3p4XtZ3Y59r9HYZ5xd/ev4mvJNfsbxP5HlI6MWRtkHHHqT73rg7Y14nR2rC/GzPTcE4cKQSeFPTHBd0koLROcBlkOc3IR2vJsY2UZqjYPxXjK+dYq0xGmleuIVJAJ/awwoXXt8MAbZwzqqhKPAlSSZf7doFMugBe0Egg9JwrbZBVjEtNErjyi6nEZ5R5jIuSM6dLL+ScFdpSaMuoMGyMK6YSH0+6EebtccHGsKARSBpBgDZOXNkcFghhKSqLxBIGiqx0o5xSuLFQW7ksNyHceKmSkBWuRXS2FbHQCtFAUWrGRUXsKRqhoiwNoS+ZbYX4SlFWhrVhTlFaDkw1KLVlpZ+xOS7RxhL5HgZDEobEoWVrXJJWJWLSSGEMExEOfKce43kCJaEb+2wMC8pZ48oZysdWgLuNkG996QH++HOn2ExzFtsxncRjc1jw4PqQmWbIa66Y49K5BoNMszHKiTzFwamEduQxzKvHFKU6sX+WcF5NchfPLVh4PHppyR0P99wYuZJspyXjwtkfVVrSiXyWexmDrOKa/Z2nJLqdKeztrPfpFPMulFpwq6l5lljqxOxPNA+PFR/8Qp83fb193tllT5w4wfr6+pN67uzsLIcOHXqaV1RT89T5y7/8S97xjnfwspe9jKqq+LEf+zG+6Zu+iTvvvJNGw/128J//83/On/3Zn/EHf/AHdDod3vnOd/Jt3/ZtfPKTn7zIq6+pqampqXny7IyLndga0Y48tHUXplFHMchKNkcFWPc4bS1zzRDfU/hKMcgrrtrf5tUvmqNzngbDHXb+zXtya0QSKObbZ2dStSJ/cvGtOTLXwPcVgRJsjgo2xwVrw5xm6GGsZWtUYKxzEy20Q6aSgM1xjq9cZpYbowvYHJd4QwgDhe9JjLVOsEkChIC01OSVQWAJA58YyzDTPAG9rQaw0rm0slLjKUnsSxph4NpBJy20alJ5qu35xbZAOgFqr/NfasvqoGB1UBB5kiRQaGuIfQ9PKVb7KYOJsCqkJCsrwAlrUSARCKQCYyzeJMPPTPL8BG5d07FPMikSMEBWGFfooTXgo7GUxpBXBl9JwkDSTXz2dUPSwmCtEx5jX5EWGjBkhaFQJbGnCD1BUTr3pHXmO/xJA0muDWUBbSkZ5RWdWFJpyyCtCDyxZ3bauRyabvCmG/fz2Qc3OLmZsr1RsDVy+YmvuGxu1yE31VBMNQJO91LuWu6T+IqtUfm4otSOcP5kHWPWWo5vuKKLxXbE/WtDssKwr+t+FqwNMlb6GQenYzaGOcc3hly7v/ukrpfPFPamkoDAc0L60yXmPREuquD2V3/1V/zsz/4st912G6dPn+aP/uiPeNOb3rR7v7WWf/Nv/g2/8Ru/wfb2Nq985Sv5tV/7NS6//PLdx2xubvKud72LP/mTP0FKyZvf/GZ+8Rd/kWazeRGOqKbmsbmmoznZ13xxBf749lO86Yb9F3tJF8yJEye48qqrSMfjJ/X8OEm4+667atGt5jnHRz/60bO+/+3f/m3m5+e57bbb+Nqv/Vp6vR6/+Zu/yYc//GG+4Ru+AYAPfvCDXHXVVfzt3/4tX/M1X3Mxll1TU1NTU/OUeaQ8IWeq4fHwdk6rGZAWBiVcEYLWlq1xwUwzYLrh04pDjIXL55t87QWIbTv005LtcclC59GjcUIIjsw2uePhHv20JFSSe1YG+NI51eZbIYEShL4Lg79yscU1+zskgcdyP2OhHXJoOuFUL2M7LfCEa4X0lWRclPhKoYTF991oYjcJCEtDHAi2hgWlNhSVoU+FtyMOXcAxvdDdbeBcYlinHF211OLqpTYrw4KVPgzzCl8prNGutOCxtjNxesUKSlzBwU7ZwZlkldltQh1kms2xc69h3aioZ11GmhKSwHMeRGst1gqUUiAsBuPcbcKNxFoLWa5ZMxmDtCTyFXmpkVjGJTDMCTxFCvTTim7Dx5eS+VbEqy+fp7Lwh7edJA4Vi62Qe1fHjIuS0pRYC9tZuXvw1jqxzRrQYlKyYV2eYMNT5JXmdC/DV5LVYcbfuWSaueaFfcYOTiXs70SsDQs2hzl3ne4znQT4nmRj6ERpJ4oqAiX5/LFtDkzHLHXiCxKlhBA0wycnIY0KzeawYCoJSEtNb1zSjt22xkVFP5s40kbu87sxdCUP+7qPzo17LM4U9s7MnIt8xVIn5nQv5cTmiGv2dZ4V88tFFdxGoxHXX3893/d938e3fdu3Per+n/mZn+H9738/v/M7v8ORI0f41//6X/O6172OO++8kyhyP6jf+ta3cvr0aT72sY9RliXf+73fy9vf/nY+/OEPP9uHU1PzuDR92P7kf2Lq676b9/3pnXzdi+aYalzYD9CLzfr6Oul4zFt/5GdZOHT0CT135cT9fOinf4j19fVacKt5ztPr9QCYnnYFJ7fddhtlWfLa17529zFXXnklhw4d4pZbbtlTcMvznDzPd7/v9/vP8KprampqamqeHJ3Y57qD02yOS/7wcw+z2s+ZbgQcmo4RAu5bHTLbCrjh0DQHp2KsFSDdBewTvmB9jIdHvmKhHTLfCvnKypA0r7CBYq4dcngmYaWfsz0ukRJC3+V6LfczGqHHkdkG26MKKSTrw5RT/YK01Cx1IpQShL7L4Gp4kmGpwRr2d0N3YT8o8JVia1QAgsAX6NIgzAtTUHsiY7ISkFJghaUVeSx2I7qJTz/TXDqXsDUqCJWll0L5GMUJCic6WWHxlaIoNZ6AKACDxNpJ3to59jdjoZc9smElIAkEkSeJQ8V0EjDMKnpp6cZMhWvMkMK53ErrmlI9IK80mbaIUFBUFs8TtGOfzWHJIKtIAtcCOio040IznXhcNtcg9BXjUUHgCQLPZ6YZctfKkLTQ+EpRGUNVGLSxSCHxlHtj6YnTTgqwxiCFwmDJSsPyICdSkvlWQDPyGeSaTvzYLaBn5pU1Qo+srNgclSz3XctrXmiiQE3GZgNGuWZUVMw2w10H3TMpSlXaUBlL4DkXX2XtRBCvOLmdkhYVSkpakYeSgoe3Ur50skcj9J6QG+1MYW8vppKAjUHBqNBPWjx8IlxUwe0Nb3gDb3jDG/a8z1rLL/zCL/DjP/7jfMu3fAsAv/u7v8vCwgIf+chHeMtb3sJdd93FRz/6UT772c9y0003AfBLv/RLvPGNb+Tnfu7n2Ldv37N2LDU1F0r/M3/E9X//bZzoFfzff34XP/ft11/sJT0hFg4d5cDlV1/sZdTUPCMYY3j3u9/NK1/5Sq655hoAlpeXCYKAbrd71mMXFhZYXl7eczs/9VM/xXvf+95nerk1NTU1NTVPC53Y5+9fv58D3YSP3Xmak1sZeWlIK80lcw1ee9UCi50YrS1KubG55V72hC7K27FPNw7YGhXE3Udfhm6PCxbbMVfv71BaODSTMMgqslK7kb9mQDtyTZHrw5zZZsiB6ZhD0w3akcf6TEJpDFMNn2GxTSP0iAPFkdkGD26MyCcZXMWgIC0NSegReYrKWCqtybWlGwcIabFWk072+0LjQg9ZAL6CMJBEvqIdBdy3POJLJ3tU2o3vpkVJ6CsCT2GsptDueYKzHYQW5/wyGnLcaKrAOcGiiSMrCT06ScBav6Cfl2yMit0ihB20hUGuGeSaqNAUpSHyJZEn6GUWPdmXmvx55hryCqQ07nXXhmakCD0Pi0VJ4dZnLdIK8kqzOjDctzrk2PqAmWZMJ/LxPMHmKKestCtbEIK8smhtMVgCJbFWUhqDr8CbFDdI6cZLt8clvbQiCRVH5pq8/LJZrIU7Hu495hhkLy05tj7k1HZGXhkqY9gaFZzcGiNwrs5m7JOXmo1hzjivWBvm7Gs7QfpcnglRylMSTwqKyjWTekJQaM36MCcvNc3Qd0KrdC2yc82QvNJPWPg7U9jbC1/JyWf+2Zkdf85muD344IMsLy+f5SjodDrcfPPN3HLLLbzlLW/hlltuodvt7optAK997WuRUvLpT3+ab/3Wb91z27XzoOaiYip+4MYOP/Y/N/gvt53k227Yzysum73Yq6qpqQHe8Y53cMcdd/A3f/M3T2k7P/qjP8p73vOe3e/7/T4HDx58qsurqampqal5xhBCcOMl07zkYIfjmynrw4z710YcmUlohBO3yBnX+0/0orwZelyx1OKzD26yNshpxx6+dOJDP62ojOWKfS0iX+FLyb5OvJu1tiP0RZ5kXGhW+q6sYV833r0Q32lSXOml7OvETDd8sK758qXNkKI0aGO4cgFWBhnTjYDtcYmYCCqRJ4l8gRQKEUs8IdjOnXtqMmX6nGdHzHo61vpI/+ve+Ao6SUA7lFgEwyKnP9bEoWK+FaEkFFVAL3OCijpjm2cKXTuOusq6/498D18JtLG0Qp8ocI4ogeDrXzRHHCjuONXjrtMDVvo5/azce/S0NCyXxVn7OPP/zzxHemdtBka5dusZVyhZIaVAChgVFaUW+J7Es+Apwel+xn+/Y5krF1tsjAtmGqEr4dAGJVwDbqDk7k4rCxZL4Eu6sU/oK/rjgrTQjEtDGCiu39/misUOzdC5zVqR/5iOs15a8ukHNji2MdodVz21nTIYlxTGIoXl6FwbgEbgsTUuqIyhNy5Y6oREewhT5xOlnkrr505e5HIvY7Ed0Ul8Tm6njLKKJPAmeWs+oadYHxbMtQIW29ETFv7OFPb2yr4rtcGTbrT22eA5K7jtuAbObYA701GwvLzM/Pz8Wfd7nsf09PR5XQdQOw9qLj5XzAb8H19zmN+95Tj/8g+/xJ/94KtoRc9eW0pNTc2jeec738mf/umf8ld/9VccOHBg9/bFxUWKomB7e/ssl9vKygqLi4t7bisMQ8IwfKaXXFNTU1NT87SjlOLSuSbTjYB+qomDvf+N+kSdIkIIrt7XYZhVHNsY0UvLXfFDCrhqqc2LlzrO/XLGBXPie2cJfZ60dGN/Un5wdhvqNfs7eFJwcitllGsSXzHfDlmcZDkt91JWBzlzNuLIfANfCrZGOWvDnGGuySpLIxAESpCpR5xQvoJSP7uim8Lt71wB7Xwjn4kPINHGkF9IAN3jYHFFBta6nWrzyL4FTnCNfYmeLDIvLVLBQjsk9hVSSpQsCZVyRQiTRZ97DnccZ1I4p5c2rpVWScmhmZistHieJFGKJFB8ZW1EP9Vcd6BDN/b5zLFN1vo5aemcTaPClWGcu48z///c02PP+No537kBz0DkWUrsZORVYqwgDjw6icco16wNCmI/JVCCYVYyKjTWCJSwSCVoKo9BViIn79UKQRw495wvXS6hxQllrdDnyEyDqSRA4AQ7OL+4ba3ly6d63HW6T+x7dGIPbQ3Cgu9JlrdSGoFkuTemFflEviL0JMu9jNCTZKVha1wy3QgQZ8x77yVKPdXWz528yEFWsdzPmEoCVvoZq8OcRujRDD1akc/6sCAJFIudmMBT9LPqCbnRzhT2zsxw22FrXLDUjWgEj19E8XTwnBXcnklq50HNc4Efet0VfPyuVU5sjvmXf/glfvk7bnjetZbW1Hw1YK3lXe96F3/0R3/E//pf/4sjR46cdf+NN96I7/t8/OMf581vfjMA99xzDydOnODlL3/5xVhyTU1NTU3NM84z4RTpxD43XzrDQjvcHX8LPcn+qYjDM006sY+19klfMHdin5ddMoXFcno7Y183Jj4ja+7oXBMlBbMHAq7d36WsNMc2Rty3MmBjULAxLrGTNlNPCTz5iFgT+4KifGQs8ZmYNpVAoNxoJMZlklnYdW9FnnN+2Ylb6kwCKWlEPmlZUY01ApdP9kQQQENBqp0oJYFGKLBCUhqLNbjXLJDOGSUEZWmZbnpspTmBciKURDLT8unEivVRhhAuL01MtnnuSCnsCJuSRuiRlppQChLfY6ETsD3OGaQFnz2+RV5ZXrzUoh0H+Epw/QHLgxtDTm9lhJ5gXzdmbVSw3MtYHRSPEt/Od9w7r+nOu8qc8WepwZfu/OelQQUSoy0C17A7LCq6kcdD22NaoUfkS5RwmWibowKEIPAlxoAnBUoqjDFsZu7d5ClFK1BEnuJ0P2d9XPHSg13iyefufOL2MK+45/QATwrmWu4XvaPCCX2x8MhK7cofpGRzVBL4ksR3uXKxrzi+MaYV+ix2I5Y68a6Yd+5n7Olq/dwRxXeEu6mGTxJIAiVphR4CnLNtspZsMmL6RH7GnCnsne6lTCUBvpKU2rA1LmiEHoemG8/adfdzVnDbcQ2srKywtLS0e/vKygoveclLdh+zurp61vOqqmJzc/O8rgOonQc1zw1akc8v/aMb+N8/cAt/9sXTvPzSGb7zaw5f7GXV1LzgeMc73sGHP/xh/viP/5hWq7XrkO50OsRxTKfT4W1vexvvec97mJ6ept1u8653vYuXv/zldUNpTU1NTc1XLc+UU6QT+1x3oMvR+b1H057qBbOUkquWOmjjhAIpxFnPn2mGXL2v44SSXHBkpklRWjZGJaNiwLioCJREAr7nHF5KKZqhx9Yox+pJy6R1QtiFem8kewt1vnROJmNdjacQAokT9nzphKqdJ2ljUZOwfWXPHo1MS4MVFUWpd11cO6/MhRredp4XejCuJqH+E2dZZaGfFiSRYrYRUGkoSkMz8qiMxRqJ8Nw1TqEtW8OMtHQinRJuu96kkfPc8U/N5HisZZhrQk/SSQJmWhFgCJQk9D0GecVUFLDaz9gaV3jKZXYFShH6kq1xgRSCZuRzZDpmuhHgS7hnZURaas6nvZ25nOqc23c6GQxuTFUbSy/VDDNN6EvKqqKXWpRw56PyLY1AsTUu8X3JbCvE8yTWGPLKUmqDxDIqDIV2BQqtWCAkDIuS5V6K7ykeavhcMtugFfnnFbf7acl2WrDQfqT5V0moKsv6MAcsBtjXjfCVZGNYsDLIaEwKSoK0dK2o2ynDvOLgVEI5KV3Y+Yw93a2fndjn2v0dRoWmrDSHphNW+zlzrQglxVkC+VP5GXOmsLfjyFvqRhyavjBH3tPFc1ZwO3LkCIuLi3z84x/fFdj6/T6f/vSn+YEf+AEAXv7yl7O9vc1tt93GjTfeCMAnPvEJjDHcfPPNF2vpNTUXzEsPTfEjr7+S//vP7+J9f3onNxzqcvW+zsVeVk3NC4pf+7VfA+A1r3nNWbd/8IMf5Hu+53sA+Pmf/3mklLz5zW8mz3Ne97rX8au/+qvP8kprampqamqePZ5Jp4gQ4jEzmZ7qBfOFPr8RKKaaAZU1XDbfoBV5nNgY0ktdYYJB0I4VjTCgKCsGucRaJxIW2mAuUMnayVaTE6EOHskNCz2BrxTWWsaVRk+ENymd4GdKKCfbsQascM+xuI1JYckmZQSjySypBDwBvhJYaRkXF7ZOhROcpIWG74RKbQXauiyy6UbEVMPHWFjr5QSeJAkUGouxlqLUrI8KjIZxXqKkoBF6DItqIv24tcHZopsHeBNxM/QUAosxhrKqMEKQVoZD0w36aYG2hpV+SRRULLRChICiMgSeoB35zLVDpJAM84o0L/AjiTEWYd1+7MTOdiEv3RmTsOQajDU0Ale0oXHuz5VBThy4Ao5Gx8P3FJlyomcSKLqJz1wr4IHVESNd4ivJdOKTVcZlz2Gx1rIxLPClQrUFkae4d3VEI9rkxsMzDLLy/MLTuU5H5XIR07KiGwdsjAokAindOTndy1hoRaz0XfHIXCuk0paVXoYxhpcentp1m8JTa/08X+bb7uc/9Hjxvi7G9hhO3HPGQlnpp/wz5kxh78lkzj1dPDtJcedhOBxy++23c/vttwOuKOH222/nxIkTCCF497vfzU/+5E/y3/7bf+NLX/oS3/Vd38W+fft405veBMBVV13F61//er7/+7+fz3zmM3zyk5/kne98J295y1vqhtKa5w3/+NVH+MYr5ykqwzs+9Dm2L/RvxJqamqcFa+2eXztiG0AURfzKr/wKm5ubjEYj/vAP//AxndQ1NTU1NReXv/qrv+Lv/b2/x759+xBC8JGPfOSs+621/MRP/ARLS0vEccxrX/ta7r333rMes7m5yVvf+lba7Tbdbpe3ve1tDIfDsx7zxS9+kVe/+tVEUcTBgwf5mZ/5mUet5Q/+4A+48soriaKIa6+9lj//8z9/wmu5WOwIV4udiFFesT7MndOlG13wGNlT2fe1+zvcdGSamy6Z4qYj01yz78L3eaHPFwhCT7HUSbj5yCxvvvEgb3rpfl5z+QyXLTRpBx7DvGBcVhjtxEJtDMbAXpfuO+UAZ5YE7GbVSece89VEEJMQ+BJtLHll8IQk8T0CJVFS4HuK6ZaPLyH2oJt4TDV8ZpohM82AmWZIOw5pBYrZpk8jkDRCRTvxmGn4eJ68YFEQIA4ErdC5+ZbaIVcuNbl8LuGyuQYvPdTluv1tltoRrVAx0ww4MB0xHQeY0rVy5tpQlBX9tKCXlfSyEnBiZyvymIo9mpHHVOIRKQgltEJJI5K0Ix/fcwlqO46/whiGacXhmQbXHWiTV4ZhrvE9yfog577VIQ+uj0gr7bLkEMS+hxSgrWFcah7uZRORVBCHCl8KLnRC8Vw3ojYwngg41rqR0qy0FJXGWEvse+yfiplpBrxoocU3XLnAZfMtunHAQiemGytyrdlOK/LKMNv0WGyF+EoRBx6zTZ+pxKcVeRgM964MufXYJkmg9hSe2rFPN/HZGj1y/ZhXBosl9D1GRUXkS3ppyYNrA05tp7QjDyEg9hVx4PLjDs00uPHwFAvtmCOzzbM+I0+29bOXlnzp4R63PrjJrce2uPXBTb70cI9eWp71uGfyZ8yOsNdNApqhd1Himy6q4Hbrrbdyww03cMMNNwDwnve8hxtuuIGf+ImfAOCHf/iHede73sXb3/52XvaylzEcDvnoRz9KFD1imfzQhz7ElVdeyTd+4zfyxje+kVe96lX8+q//+kU5npqaJ4MQgp/79uvZ3405tjHm7b93G3n1NCSd1tTU1NTU1NS8QBmNRlx//fX8yq/8yp73/8zP/Azvf//7+cAHPsCnP/1pGo0Gr3vd68iybPcxb33rW/nyl7/Mxz72sd1Snbe//e279/f7fb7pm76Jw4cPc9ttt/GzP/uz/Nt/+2/Puhb51Kc+xXd8x3fwtre9jc9//vO86U1v4k1vehN33HHHE1rLxeSpCl9Phad6wfx4zx8VLuPqugNdZlsh1lq0ddlhnWbIFYstotDHGCgqC8IiBQghEcKNlp6Jwo30eZPbzwzhN+DGMLXL8WoFEs8TCFwLphQgzhg6bYSKThzSjX1iX6AteJ7Ek4puEjDfjOg2AvLKuLbQyGe2FdOJAmaaEc3Ew5MCIeRZF/07brtz8aXbfuIpSgP9XNNLNYW2LHYTtIXttOLE5pjtccmorNgcFqyNcjQSYwxFZVkb5AyLCjBYY+lnFRJB7CmkVHRi3znCAuUaaZVbkZKujGA6CYh8wSg3nNhIOTQT8cqjsxyYTpBSTgQZTRJ6GCzjUtMfV6z0c5dNFihC38MXAoRlmBuUEPjKOat85YTPPd8vj/N+MkBhnNut0k4klcIVKpzcStkYF6wPcrZGBVlpmG0GtEKf6WbIixZaXHdwiktnm855iEVr2EpLPOncpPunGiSBT1pUWOOcXv0058js3q7OZuhx5VKHyljWhxnb44ITGyNWeznDvKTQhnbkM8hLtsdOfJtuhnRinwPTDQ5MNchKTS8rmGo4B6s+Z973zCzHHay1jIuKQVbST0uU4FEFC3c83GO5l9EIPeZaIY3QY7mXccd5RLeL9TPmmeaijpS+5jWvwdpzdeNHEELwvve9j/e9733nfcz09DQf/vCHn4nl1dQ8a0w1An7ze27iH/zaLXzmwU3e85+/wPvfcsNuM01NTU1NTU1NTc2F84Y3vIE3vOENe95nreUXfuEX+PEf/3G+5Vu+BYDf/d3fZWFhgY985CO85S1v4a677uKjH/0on/3sZ7npppsA+KVf+iXe+MY38nM/93Ps27ePD33oQxRFwW/91m8RBAFXX301t99+O//hP/yHXWHuF3/xF3n961/PD/3QDwHw7/7dv+NjH/sYv/zLv8wHPvCBC1rLc4HHGwF9OjnfGNozwY57Z67lHGNp6fZ7YmOMFG48b7YZYK0TkgwCbTS+lPQz54jHnF1gYI0bV9yRJ3ay2wSglBPWfE8S+wpPGypjMNY5hYQErEAqiHyPxFdoYzk02+TUVkZeaaQvyMqKsREM84rZZsj1Bzt8ZWVE2xN0Yp+1fsHqsCIOJI3AY6WfUZhH1gNnj1RKwBdQFJpeaUhin2bg4SvBMNdsDjMskBYleeVyzMrKkOaaOJAoITEI4sAVKQxSjUKgfEHkKyppKa1FCBhnFVa619n3JUWh8X2FJyVSwnQjIA7ce22m4fOixTbzrZBBXtIMnfsvKzUN6VFUllFWkZcaTzix02WpaVpxgEdKIAUjbVFGgNCUld1tXJUwccM9ci58AcXk+/M1wlognzxJakuuLdpY4sCjFXnEoYexhs8/tM10IyT0JONCY6zgmgNdhuOCe1aG9PKKyhgOTyfMNiPSsnINqdoQeopO4tNPNYPMCVR7fTZevK/NICu5Z3nAw9sj0sJtoxn6XDKTkAQem6OCy+Za9NICTymUYPfz3Ip8eqOSfqPcMyfu3CzHYV6x3EvpjUsqa+mlJZfOJeiJw+3JZr49mz9jnk2++o6opuZ5ypWLbX7tO1/K9/32Z/mzL54m9hU//ebrHiW6nThxgvX19Se1j9nZWQ4dOvR0LLempqampqam5nnJgw8+yPLyMq997Wt3b+t0Otx8883ccsstvOUtb+GWW26h2+3uim0Ar33ta5FS8ulPf5pv/dZv5ZZbbuFrv/ZrCYJHso1e97rX8dM//dNsbW0xNTXFLbfcwnve856z9v+6171ud8T1QtayF3mek+f57vf9fv8pnZPnCr20fFTu2nQz4PDMMxN0fm4Ta+J7jKnIS0MYKJZ7Gd3YxyJIQo/tccH6MKesNEK4FtPIE1TGUJSPBO7viG2RB0aDERAqwWwjoF9opIW80iSBR1FBGCmkEHhSUGrDIKvQ2qCUxPcFS52IbuyzOcxZHxas9DWhkhyairn5sllaoeK+ldHu2F9aVRSVoR15VNbiK9duKpi48gQI84jzzgKZdn8mvkVa5/6LA49GqLh/bYS1lmakCD2XN6ekpDJuxHOm4THfUlgrsNaQ+B5TsU9aVWyPS5JIYQxoY9DCklVuBNVqi1Jum55yo71KSSyw1I1ZakdsDEvSKU2pLb4UXL7QYnNUsDXOXU5bpWmGPnmlyQrLsc2UrNREvhMwQ19S4bnXzLpcOyVd06ucOLOMtWSlEwTPNHhZzhgJFI8uewB3W15Z8qpiOx2wOsg5PJMw34p4eGvMKK/oJj6NUOEJQeApWlMJUeBx39qQ5e0UgFK7rLTA10wnAfu6EaWxnN5OuWdlSCNyo6N7fTZuPjLNICsZ5SX7OhGbowIBXL7QwgCboxLPE8y2Qh7aSDk80yCcvFc8KamscytettB8VE7cmVmO968N2BwVlNoS+wpTaqaSAIHkjlN9rtnfQUnxpDPfvhr56j/CmprnEa++fI5f+o4beMeHP89/ue0ko7zi5//hS3ar2E+cOMGVV11FOh4/qe3HScLdd91Vi241NTU1NTU1L1h22qgXFhbOun1hYWH3vuXlZebn58+63/M8pqenz3rMkSNHHrWNnfumpqZYXl5+3P083lr24qd+6qd473vf+/gH+zxiZwxtNAlPDzxJURmWexmDrHpGMuP2amLV2lJZSygkw6JithHAJPMq8iSBJ1ntZ4zLgrKyoARSSJRnsNXZraXWOEFGSZBCMCgNngJpBUpJ4sDj6GyDpW7CcDLeqgTc/tA2oS9phh6eEhgLl0w3eenBLg9tpTy0OebgTMLlsw2WppoMsoJGpBjn2u0nK1ESLNYVBkiJr/Suk0tOnGAWt65KW/REgEIItrPCiUNSsm8qIi8qtlO37UbkcaAb005C0qLi8ye2KCaOK19KppKQvLIUlUEISeQrXjTfop9V9MY5m6OSVuDyxSoDnchjphkihKAVejQij964pBt7LHZCjm+kaOPEtjBwYt+VS00e2lRILMv9nGFWMi4qV2ZRadKiYpg591XsSQ51IlaG+USoklijGZUuhy30JbHvsZ2WFKVrn6i0E9pCz2X8GeMqHwLPteCWxrnkCn22AmcsrA0L1oZO8OomPkudkCMzTS5faCGkoZ8WzDYjuknAvm5MVRm2xjmDrMJXkoPdmG4jIPQUg2HGvk7MOK/4y3tWmWuGTDfCR302jsw2mE4CXnF0DqVgOy05uTFmY1zQCp1Tcm1QMJ34tGIfCxTa4EvJuKjopSWXzCTMNEJ6afkoZ2kn9rl6X5tP3J2yNS7pxD7GWObaEYvtmGbo7TrXDnTjJ5X59tVKLbjV1DzHeP01S7z/LfDP/7/b+e93LLMx/Ay/8V030Ul81tfXScdj3vojP8vCoaNPaLsrJ+7nQz/9Q6yvr9eCW01NTU1NTU3N85gf/dEfPcs51+/3OXjw4EVc0VPjyY6hPVX2amIVAoy2rKU5sa/oJAGVgUbg3FJWOEfcuDBgK4y1aGsRxpUhFGfMalYGPAWBdOlsWIu0EoF1rZaRx4GZBoGnmGqErPZztsYFnpKU2jnBEqlIAjde6ClFEnpcMtPguoNdKgPrw4xAKZY6EcfXx5zadg6v0FMYC1vjkkprwkBSaSgrV/jgK5BCEQaSrDDklcaTAl8qCq3xlSQJBMOsZHNcoI0L5NdpyXFj2afBWNf+OcxKQhXgK+gmIc1IsTooeWhzxFQS0E3cqOWLFhqsDQoiT7I1LhhkFePSjdSGShL6zul3yWyDdhzSjAKSsGR9mNNJfGYbASc2U45v9vClpBV7bKcFK/0cawTdhpiM4cLmMMcYKLVFTkYltdFoLL6SeNpgUPhSIqVACvcaCTHJ4hOgpMJXuBFaY5BKwaTBdboRsjrMySuDrxTDvHqUO25rXLI1Lrnz9JD2fevsn4pZaIWM8ook8Ag9yaXzDe58uIcUcHgmoRV5lNoyyvPJOHGCBVb6OZfPt3aNGGd+No6vjyi1QWNZ3nLOv0obBmlJb1xQGkM/LXnxUouFdswgK+mNS4bWiW1LnZA4UHxleXBeZ6mnJFNJwMwlIb6UKCWIfYWYJN/tONfmW9FZrtFzKbXZc3T1q5VacKupeQ7yzdctMdXw+Se/exufObbJP/jAp/jA/3Hj7v0Lh45y4PKrL+IKa2pqampqamqen+y0TK+srLC0tLR7+8rKCi95yUt2H7O6unrW86qqYnNzc/f5i4uLrKysnPWYne8f7zFn3v94a9mLMAwJw/CCjvfxeDYz087HqNAXbQxtpyVxZ5S11AbfEzSFYqHdZpSXtCKPrbRkoRUhhWBfO0AbyyCXbI0Kxrl1gppxgo2wrjjB2EkO2MRNFvsSi5gIXpJACpeLVWiyUjPV8LEYPE8wTF3e2PRUyHwzQgjB1rigrAxH5hscmEo43csQQpIVFY3Ao5M4cWStn5NbTWUsrVBhUZO1GCeSCYh9D19J0lKj5KTcwbpSiMCThJ5HEvisjXLS0hD6Ho1AUmhYH+ZU2tCKXBOqqNy+ysqwnRaMc+cCM9aSlxX3r45oRj5ShuzvxgzyiryyhL5yjZwGZlohgZKThtXQ5aSVmpcemiIJJJujAmOhn5U0A49m6DMsSjaGBXnpBmO3xxaFoJX4dJOAQeHaQB/upYRKgbWgobCWwFNEvofF0k/deVUSfKWwVmOt2z9IFNAMfMCQVRaDZFwapuKAZqiQUrrRTGNJS82JrTFZebaDq59V9E8PuOv0gNCTzDQCLplJuGQmpp0EDMYFD22lnNrO8Dzn9nvRQot93ZhjayPiSZ7fXp+NE5tjTmyNWe1llNoQeYpmrJhqBFTGCV+tyKcZenRin5lGwKBRsTHKmW+5jLlRrh/TWVppgzYuY0/u8fNhx7kWKPEo1+iZbI0LlrrRo0ZXv1qpBbeamucorzg6y3/+py/nez74Ge5dHfK/vf9v+J7rmxd7WTU1NTU1NTU1z2uOHDnC4uIiH//4x3dFrX6/z6c//Wl+4Ad+AICXv/zlbG9vc9ttt3Hjje6Xnp/4xCcwxnDzzTfvPuZf/at/RVmW+L4TOj72sY9xxRVXMDU1tfuYj3/847z73e/e3f/HPvYxXv7yl1/wWp5Jnu3MtPOxU15wscbQdloSd4THq/d3eGBtyPqwIK8MZiKI3dtLUcpltpWVZZi7rDRPQGkn46TWiWvlRBvRGjxriTwxOQ7wfMkgK4kChTaG+WZILy3ojV0K3IFuQppoDk4ndGKfrNLYyo18NiOPqSRkVDjBpKgMjcijm/j084osr4hCiTWWdhzgSdd+Oi4sxpaUWiClE9aM0QRKEnhityCgnfhY48ZBB3mFMRB4Ck9ahBBYDJ0oYFw6R1cUSASuWKKXlaRlRWksHgIjLM1mxP6ZhFAqitJQBXB4xrmshpnm0ExC7Cu2xyUIQVYYjo3HlMawcFnEi/e1aUcew7yi1E7QaoUeWaU5cXyMlIJO7LmxU0+Qa4PMKzqxG6XsFRo8gbYWqSTGWLxJY6m1hlFeUWh3PkKlUBIC5VNowyDTpIUbA0YKksBjJpJEniuJ6EaKmUbAxqjkyFyTg1Mxoa94cH3IvSsjNkYFy/2M8Zm2R5xT8FQv41Qv428fhKnEx5OCOKhIfEUz8t0+jBtxzipD5Ms9C/WKyvDQ1oi1XkYvLWknPttZyXI/JfAVl0wnZJXhsvkmh2cStsfV7mf96HyDUW4YZOXjOkvPzTs8lx3nmu+pR7lGfSUptWFrXNAIPQ5NN551Uf9iUQtuNTXPYa5aavPH73gV7/nPt/Op+zf4tVt7zL7pR0n14z/3GUF5bOSC1eNbnO67H+qjvKLa+UvKV3QTn/lWyMGphP3dGFk3rdbU1NTU1NQ8ywyHQ+67777d7x988EFuv/12pqenOXToEO9+97v5yZ/8SS6//HKOHDnCv/7X/5p9+/bxpje9CYCrrrqK17/+9Xz/938/H/jAByjLkne+85285S1vYd++fQD8o3/0j3jve9/L2972Nn7kR36EO+64g1/8xV/k53/+53f3+8/+2T/j677u6/j3//7f883f/M38/u//Prfeeiu//uu/DriRxsdbyzPFxchMOx8XejH/TI6hndmS2E2gEXoc33Cjeie3xqwPcjYHGcPCICVUxuAJgRISlKGqnGC1Z6ulAW0tvbQiChRzjZCNUY5AMJX4aONaI6PA47KwSVEZSqOx1pKXYK2hshZdufHI2JcstmOmGyF3n+7z+RNbaAP7p2I6kUev0KwNMtYGGYkvKLQlrSyFdsUBgQU814TajDziwGNdZQxzJywaYxEYUuEyzOKJG6nUBiUludYIKxgXFUp6CCHwFYSeRxwoellFf5TTjAM8KahKQxJ7HJ5p8NDWmIc2h5zuO5fcIHMjtLPNkHbsg5CkpRPMAiUY5ZU7D5XBV4KXXTLNxjDjr+/dYJRrmoHvXJlSkJYVvlL0xyW+0njCojzFkZkGncQnLyqObaSUk5pSbzJKKrEYAzKQhJ4T5XLtxoGthcRXKE+ipBPApC8YZSXWWgJfEfiKduQz24rQ1lBqixCWKxeafOOV85zYHPGFkz22xyVZdbZobCxsjMrd71uhYqZpiH3JvSsDtLWMcpfTFp0jSFssJ7ZGZIWmHQdspSWr/Zyp2KfZDNkcF9y90mdfN8aXgkvnmqSlmZRKKGJf8rnj2xfkLN0r7/BMznSuCSHOco3uCHxL3YhD08+umH+xqQW3mprnOIudiP/4tpv5jb9+gJ/9i7tpXPFK/uKUZSvc5IZDXfxneP59mFd8/K4VPvzJTQ7+s9/nf634sLJ3S2pWmclvSsd89tgWSaC4aqnNwsUSCGtqampqampekNx66618/dd//e73O3ln3/3d381v//Zv88M//MOMRiPe/va3s729zate9So++tGPEkXR7nM+9KEP8c53vpNv/MZvRErJm9/8Zt7//vfv3t/pdPgf/+N/8I53vIMbb7yR2dlZfuInfoK3v/3tu495xStewYc//GF+/Md/nB/7sR/j8ssv5yMf+QjXXHPN7mMuZC1PNxcrM+18PJGL+WeLTuxzaDphtZ9zdLZBO/JY7vlkhUFjuPv0iCTwyCsnsaWlweJGSSeTi7tooKwskWd3R3gPTcXk2lIZy6XzTRQCjSUrNM3I59BMwuYw577VEQ9vjzGlIas0nnJjqdWkdXSQlQRKUUlDpQ1HZmI2RwWBFDywPmRzXCKA0JN4nsRaMMZQGY22EmNhuZdRVZZG4KGEC92vKkNlDNPNgOlGwCirKI3BkxYFjLVGG4sSksWuG29eH+YI6eZnO42QdugTKMlyP8dXkq1xzoNrQ9aGOZ3YJ1CC5X5OVmgGWcnRuRaNEI7MNrliscmD6yOWezn7p2LyynC6n/LipY4TiAQcnU14eDtFCGiGPv1M0I0D5tsh26OcDW2JPIm2lizXbKclvieIw4BRVjIqNFJJZmKfonKjxIutiPVRgZ6IRJXWyMmYsMvu0wyzwrnQfEnT95hu+SgJWyOXl7Yxcsd30yUztCIPT0JRWdYGKRujnKw0VMaNUp87JTrINYN8zLGNMbGvuON0j2v3dZhthSz3c0LPFVFEviLXmlPbGXOtkJObY5qBRyOArNSUxo3NNqRHJwpYGeR86WSPcvKe86Qg8CT9rGSqsbfgdqazVAjvCTnXznWNXqxx9YtNLbjV1DwPkFLwT77uKNPVOj/4O39DuO9Kbnlggy893OOlh7q8eF+b0Hv6/gEyyEo+ftcqf/al0/zlV9YoJr+JkX5EIC0HppssdSJmmuEj7UmTzIKtUcmpXsrxjTHjQnPb8S0kPt2v/z7G5Qujjaampqampqbm4vKa17wGa/fyGjmEELzvfe/jfe9733kfMz09zYc//OHH3M91113HX//1Xz/mY77927+db//2b39Ka3m6uZiZaXuxV3nBxR5Ds9ZyYnOMNoYk9FBpSTsKmG0pxkXF3ctDIl8ReBWj3L3XBG7sszrjrScnX56CTuITKg+sxVMK34fpRog1kBnn4ts3Fe+6gFqhx9qgQIqEJPA4uTXCV4qNYc7GMCevNKd7GXPtEE8KRoVmfVQxyjU7v5K3SDqxh1ISawyjQhOGAVjndAKXVSaFQAmFENCOPayGQeGOuRV6JIFibZCDFSSxh558vpqRohMHDLKCyFc0Ag8LJL7LC9sc5Wht2BwXnNxyzZnNULHYjhhmFVuixPcU/bRipZ9x5WILi+HYxF1ocWO0YWW5Z2XAFx7aptLWFSnEHlIKtkYl/bTC4hyAujKc6uXk2nJkOmYqCdgclawPCyJf0koUgRJsDHPCiaNSScm40GyNS9JC4/sKW1Ro4cYkC20oJs2muQaRa9IiRQnBvin3+nQTn2bkcfepHgenE7qJT14Ztsdu9DjwFPu7DdKiJAl9hlnB6X4BOME2P8f9lpaaYxspxzZSPnb3KpfPt3jpoS7X7O8QKOmy9CpD6ClObWdICb4nwUKgJJ1JI6mvBMfWRsy3Qo7MNnfdrKd7KSc3U9qRz0zz0ZmQ5zpLz807fDzn2pmu0RcqL+yjr6l5nnF0ymf59/4vvv1nPsJdo4hBVvFX965zywMbXLXY5sqlFgvtaM8gy8djdZDx8btW+didK/zNfeu7IhvAkdkGL52DX/rht/HOn/g5Dr5o33m3c2AKrj3QQRvLsY0Rtx3f4nQvo/N3vo13/vc1fq61wmtfvPCkjr+mpqampqampuapc7Ez0/biiV7MP9OMCs3GIAcEp3sZnhBU1pIo4bLUQkVaaASCorIYnLBmJ3/unDkBxKGg0lBpEGgQcHJzzFwr5MrFJvunm49yAe0IfsZaLptvMchKLIJG6NEMPb50qkdeahqhyyqzgJKaTuLyx/qFy1gLPYGdlDdo68YofQGep8i1IQ4UzdAnqyoKbWiFCqXcmGa3ClgfOjfXfDMk8RWn+xkNX2EjnyR0wfxpWXFy2wmlc62IbGNE4Llj0cZHItDGkJcumL8VKszkHHWiACEEUrixzoPTCSe3MoQoefFSm+20xFroJj5L7YhbHtgg9t0IMtaVGawNMgaZYbrhIQVsZSW6MiSBIvCkE2qFGx81WMa5JtcGX0liX1FUlih0Y8J56b6aUiAldEKf/Z2Y1UHOIKuorKWajPaGnqQoNA9tjUG4NlFrLVONkCT0EUJQas3DvTF5pZlvxwzzisBXxJ4EIRCDgmbocdOhJmlleHg7Y2PkGlzPJCsNX3q4x5cmjaaXzja49kCXuUbAA2tD+llJ5CuS0AflcuI2RjntyGd1mIF0I8dntpxeMttguZdx7+qA6UbwKEF7L2dp7Vx7YtSCW03N85CDDcPLrj3Mnaf7fOFkj81RwRcf7vHFh3vEvuKSmYSlbsx0EjDdDIjPyMKw1rIxzDndy/jKyoDbjm/xuRPb3L3c58xfBF861+Cbr13ijdcuceVii89//vP8h9UHuNCfpUoKjs41uXS2wa1fuou/vGeV7en9/OPfvZW33nyIf/P3rj7vP/JqampqampqamqeOZ4LmWl78Vy6mN8c5dy/NiKvNMc2xySeop8VKCEIPUU7CiiqbDKaJzClnYxrsiu+Gdw4aV46xavUmkD5lJWhEk60ObGZstht0D3HbXiuC1FJgSeEc31Zty+JwFg3ImgBhZtnDZQbFVVS0I49QuVRGk1ROTE1ChSdyGNcGo7MusbTvNIM8oqmrzjVzxAI9nV9YEjkCTqJj58LNsYFW2nJYidithHtOtgq7UZc07IkmUzAOHeVZKrh89B2Smks7dA5xiptiALJILM0AkUzVGyOSrZTF4ZngFFeuZy8SSa0ExVhY+TKLNaHOZ5UIARTiUc78ok8hUVw5VKLcVGxPirJK4vvSeJAYa2gl5bklaYZebQjj7VhTi/VKARzTd+dU2C6GTHdCFkf5ighCDyF1AblW5c5FzkReJiXbAwzxnnFNfva+MoVTqwNcvKqYphpYl+545Eu93qUa6S1TMU+41zjSclCK2SmETqR0VgKY1nuZZzqpZT6kQs1Y+G+tRH3rY0A6EQ+C+2QTgxW5C5zTkpWezmjvGK64XNwqoEnz/48CwSXL7S483SfYxsjljrxBTlLa+fahVOfpZqa5ymeklx3oMu1+zuc3Eq541SPYxtj0lJz1/KAu5YHu4+VAgQ+B37wP/EP/+sylVnec5vXH+jwd1+8wN998SIvWmg+Lf+4EUKwFFtO/dY7+cHf+B/8t6+M+NCnT3DvypBf+86X7mlfrqmpqampqampeeZ4Lmam7fBcuJjvpSVfWRnSy0rakUcn8lECNlPnOjs613Bjt6McJd16y6qksqCEc5MZCwonHFUGAg+wrtk0DBTTic/+qYRBVu2Zl3euCzH2FZ3EZ21QkIQKAfieIPIVw8KJVFOJj5ICIaAbB2yPS6RQxIHC187hFfke2hgQgthXtBOfOPBoRT6hXzLfChFCklWaRqg4NJ1QGcvxzRHDrCIOPTqR5Iq5Fq3YozKarVFBM/RJS0PD91loefSyivVhzmwzRFiIlGJzWNCOfBJfsllqwBL7Ck8IjHUCEADSCZa9tOTgtGsxTUtNPy1phj6DrGKuEZAVmo1RQTOUtGN/dzx0oRPyNZfOcPfpAf2VAYGvEFiklAyzAmOdA8wrNYOsoh0FVKbAE4K8Ms4JZyzTDdfyOso1CBefg7FMNUMW2tHEeecxyDX7pxKkELx4X5u1YcEDa0OshftXCyprKXXFdBzt5s3lZYZRkiRQ5KWl0IaOcqLesCjRAi6fbfIPX3aAFy20+NzxbT51/wZ/+8AG2+kjJQsAvaykl7nbQk8y3QjoRIqpJMRXkry0tCIPrS3lxNm3w1QSsH8qZqYZuDK8F3DBwTNBLbjV1DzPEUJwcDrh4HSCNpbTvZRjG2PWhzmbEzuyC+MUqLjFzqTobDPk0HTMSw9NceNh9zXffubCedEl3319mze9/MX84H/6PJ85tsnf/+VP8hvfdRMv3td+5vZbU1NTU1NTU1NzFs/FzLTnCjuFElo799f6IKMdeWylJQenGjywNuKhzZQ4kCy2Q7bGBVZYlHQiG8KJblI7R5YQ7pffoadQUoGAhVbAi+ZbCARJ5O2Zl3euC1EIwWInZpRrtsYFhXYtqZ3EZ3t9jBSCVuTC+wGENSy2I7JSM9MM0cbST0tKYwiUZJxrDs/E7GtHDPKKJPBQCEIlMdYyyEpKbTk82+DwVMzDvYy7Tw/oJD6HujFXH+gSKMlV+zrcs9znjod7DHONFBZPSQLlhEiXXSY5Op8ghCUrDWmhySvtssOSiGFecrqfMdMI6MQeW8OCtNTs60YsdmKEEFTasDbMsbhxyv1TCQdnMj5/YhtjXTZdXhpeerhDIwqIfY92FLDUjgl9AUissYyyiqKqCH2JxLk4h1lJO/S4YqFJOwn5ykqf5V5Kf1ww04xoBK5sYphWeFIw1wzQxlJUhrxUKOHGW7sNn8hXu5+tYVZy+UKLYxsjstJQVoZW7HLeeqkkK13ra7fhIaWkn1fkVYUnJc1Q8dJDHV5x2RxKCL7uCp9XXT6LNpa7Tvf51P0b/M1965zcSs96/+aV4XQv43QPlByz0Ao5OB1ztbb0s4p+VqGkIPTlxA1o6UY+1x3o7p7nekz06aMW3GpqvopQUnBgKuHAVLJ7W6ldAOfDD9zDb773B/mTj/xXvuHlN120cc6vv3KeP3rHK/jHv3MrxzbG/O//7y389ve+jJsumb4o66mpqampqampeSHyXMtMe66wM8o53Qhpx5ZxocmrHCVgnFfMNgKW+ymhHzCdBCS+YpwLZlsepTYUlaYyYJQLvRdAJ/HoRCEL7ZBW7BN5ToWLfEUyyRA7Ny9vLxdiM/Q4Ot/k9PaYk5tjcmsJleTa/R0sUFaGQV4hhGChE9GMfL6yMmCln9KJPbTRZKUBY+k2Qg7PNJlvxxTb6WQ/EUmg2B4X9LOKI7MNppOQXEM38jkwlbA+yNE4N50Uklbku3NQVNy3OsJTimFaEgeKA9MJU4mPNbDYiTjY7fGxu9ZYH+ZIKRjnlctQM4aGr9g/FWMtlMbQiT1evNTZFSFLbckLjcbSikPnaPMkeanRFtKiItOWVx6dYzurOLk5BgEHp2JasccoNyAs85VG2ZDVQUZh3NiqK4JTboTaGqbiACks042I072MUltKY5hq+FTG8nAvxRhXRrA2zEg8j0tnGyx2YnxP0Qw9rtnf4dj6kJObYzqJx3g7Y7ET4SuPShskgsVO5BpNQ4/ZZsC4MMw0fDpxwGwj4GuOzrG4a4gIyUrNKK94ycEprtnf4Tu/5jD/6+5V7lsb8uVTfe5bHXJmVYw2llO9jFO9jM88uMUlsw2u39/hugNdljoRY6FZG2bsn4qptCsHaYZ7F6nUPDlqwa2m5qscX0l8JWl4UG2eZL7hXfTstMvmW3zkHa/kn/zebXz6wU2+67c+w29+98t4+dGZi7qumpqampqampoXEs+lzLTnCmeOckbCZRKfDhSezFgb5uhKM9UMuG5/l6V2SGUsxzZHWASJr0jzkrVBiZk0FUSeYK4Z0ogCFtoRSkk3ghkJZpsRWIEneVRe3vlciJ50xQmvvMy5nZQULLYjlxuWVawPM8LDijiQxIFHI/S461SfzXEJFqyFpW7Ma6+cBynZHhf4UjDd9PGkcKKZlByeThhkmrwcgQSrLRvjHGMFZWV4cH1E7CtCXzGV+Byda9FNQqZij2YUEPsSEKSlEwD7eUWuYa4ZcLqXMswMeVmwNSo4OJNw48Eprlhqk5WahXZE6EmGebV7LWOMJdNOwIx9RV46p147Dtgal0SBR0MKwkCxFPpsjQruXh6w2AmZb4YM/IrtNOf6A+51+8yxLUZZxVwrxlNO0OulFe1Js+dsM+bS2QRjLcOsJM80hTYMco0F2pGH7ymMcflwp7ZTXnbpzKPGsKWSXDrbYlwYskKzOJvQihWehFPbOUfnmtx0eIqpJKA0Fl8JNoYFl8wmLHXOnj6KfEXkK2aa7IpvL1pq0Ul8Xn/1EsO84o5T23z+xDZ3Lw/Oaj21wIPrIx5cH/GRL5xiphHwooUm1x/s8uJ9bbbGJVvjEk9KokCSBB6xr3bz82qeHLXgVlNTc1HoJgG//b1/h7f/3q389b3rfM8HP8NvfNdNfO2L5i720mpqampqampqXjA8FzLTnkucO8rZDD0um286F1BlGBQVZWX4O0dmKCvNZ45vEXiSB9fHWARh4NOILQo3YqgtTDUC14xZGaS2tCLFVMNnsR2SlhX7puJdocZae5YAevW+Nic2x2e5EPdNxRyabgCc4VB0446XL7boJgEnNsYM0oKXHpri+v1t1kclaVkRBx6XziRURtDPSoyxNEJLN2kS+hIlBKe2x2TasLKVYyeZdIU2lMayOcx5cG3IZ49t0QgUrchjqulz/cFpXnfNIlujgs1hQaEtnoSlbsRKP+ee033XUtoIUUrSSyvy0kXfLHVCjsw1iH3Fgem9js3SS92o8yir+MrKgEbo0418Ql+SV+587Z9K3JjoZGQyDiSntzKGmcZYgzVwYCqhGXl04oB25NNJfCLPw1jDSj/jdC9lrV/geVBWmnGl6UQ+QsByP6XSBt+TBErRDj2mmyFzzZB+VrHaz7DWjW7e8XCPUV4x2wjZ14lZbEfcenyT45sjphKfKPC4dE5xcLrBQvvssoKZpnMfPpbwvSO+3Xxkhs+f2GJzVJAEipddMsMNB6fYHOWc6mWc3E657dgWq4P8rOdvjApueWCTWx7Y5D/+7QluPjLNK47O8LIj0zSNx3DSkhr5iiRQu/ureWLUP1lramouGnGg+I3vuon/80Of4xN3r/KPf/dWfvt7X8Yrjs5e7KXV1NTU1NTU1NS8ANlrlFMgSHwPfDdyeslsg/lWyKntlNhTLCy0EEKw3M8IPW83R60d+az0cyLPucCakaKqLM3Io5s4EacZ+bt5eb20fNSI73Qz4PB0wqVzzT1diOc6FBNfMi4N/bTk+MaQtX5OqSHwXO7zTUemOdCNd5+z42DSxmWvGWP4r7el6Mpy7YEOeWUY5iXL/ZyGNjxUpJTaEPsSgyuBMMDx9RE3Hp561HqMMXzy3nU2hgWNyGOmGTLfDklLzTDTjIqK6UbMjYen6DbCs47tmkkBwdogIysr9nUixrFBCuiNSx7ujYl9xaVzTdJC0wo9hnlFPhnPvfHQlBP2Ko1SkuMbI05ujZlphix0ItQkW299mLPcy1gZZDQjyajURFbycC9lKy0JlBMiPSlpxRJPSoJJ6+liO2auGXJoRrI+yFmdfI3y6qxCkkMzDQ5MxdyzMqCbuMy00JM8tJU+pZHuTuxzw6Gp3fdNVmqsFByabfDSS6ZphR7WWu5fG/HJ+9b5m/vWuX/SbrrDMK/4+N2rfPzuVTwpuP5gl1ccneHlR2d2cwDBxRfFgardb0+AWnCr4a677npWnlPz3ODJvnZPx2t+vm38k6slg37IZ0/lfN8HP8N7XzPN5dNn5wfMzs5y6NChp7yGmpqampqampqamvPxRAol2rFPN/EZF5pr9ndJwqEbG2xH9LKS9UFOEigOTsckgcfqMMcKwUwrYrEVc2g22RVXemm564qaSgICT1JUhuVexiCruGZ/h27y6HytMx2KvbTkjlN9TmyOeWBtSFEZ5pohi5140vRZcWJj7Jxd5xF0BlkJkyQwIZxTbHWg0dowyt1Y6r5uzGVzLTxPMshK5psh40Jz67FN9l+/7yzH5MnNEcc3xvieZCp+ZP2NQNIIfFYGGcs9F/x/5vN2xMeNYc59a0P6acViO0JJjbWWbiNAIVgb5hhjeMnBDkfnW8S+5J6VAb4U7OsmDPOK5V7K9tg1pC73MmYbITcemmJlkLM5zBBYxkXFTDNgvhEySoesDjOMcYKnEq6MoKwsUkLDd4UZSeCx1A1ZaMVUxnJiY7zr8Jva47WSUnJktskor2hGPs3Qo5sEjApNWWkKbQmUQEmBtfaCR7vPNxpeGcs4d6LmZfNNLptv8t2vuIS1Qc6n7t/gU/evc/tD25T6keS3ylhuO77Fbce3+KVP3MfRuQavODrDK47OcvlCE53ZXfdbOMkgjIPa/XY+asHtBUx/cw2A7/zO73zS2xgOh0/XcmqeYZ6O1xue3Gt+QftWPvP/4N/CJdfzf/23B1j58L+k3Hho9+44Sbj7rrtq0a2mpqampqampuYZ5UILJZqhx5VLHT7z4AbjouJAN6GXFvTGFdZapBRcMhNz3cGua82MFfOtmNlmgO+pXTfXTjPqua6oyFcsdWJO91JObI64Zl/nvCLMjmA3zEoGWUnkSeZbEf20Ym2Qc3S+yVQjedxt7YTnF5Xh4e0xzdBjkJVUxrLSy+kmPkng43mS2Fd4UjDIK+bbIQ9tjFkbFiy0H8keGxeatNQsnEfgSwLFar9kXOhHHcsod22iCpeDN8o1QlgaoUdZGXJraAYegSc4Ot9iXzdmmFdkhWG6EWJxAtl8K2SqEbC/m3D/+tBt11NcMp1wujfmdL/AU5LFdkw7UgS+IFCK3BqMtigPJzIJi7XunLUjj1FlWB0UdKJgkvvnxLKdDMC98JWkMo+UZAgh0MY+yun2/2/vzsOjrM/98b+fZ/YlM0kme0jCKiCybwLn1AUsWtuCttpapKCtVsWq5dSF46nLdb5KqZdIpVTQ83NrbV16xI2DraIiKmsgrDEgJATIAtlmMvvM83x+f0wyZkgCgYTMTPJ+XReX5tnmfp4sk8+d+/O50616FDm6XunW0dRwnUaC3SzDbtYhrEQ6uXqDYWTZjJgzLg9zxuXBGwxjR0Ujvjpcjy1H6uFqSaa1OnzKg8OnPPjLlko4rHpMHxypfJtQmAYACIQUNHpbqt9akm9mvZbVby2YcOvHfG4XAODaXz2M4WMmntO5pds2Yv0rf4Tf778QodEF0J3PN9C9z3lXXzukAptOqmiEHUN+9Wdclh2CRQvUVh7Ga8vuR11dHRNuRERERHTBdaWhhCRJuDjPhmZ/CBV1HoTCKsx6DWRZRrpFh8IMCyYVpcFi0J6xIUVrZ9SOqqIAIM2sR31zEJ6g0uF6e20TdqkWPaqb/LCZ9DBoNchM0eBUcwA1Th+GZFrPeC2nL4Sy2mbUOv0IqwK+oIJalx/N/hD0Wg10WhkZFj0kOTLFEogkWlQhoNPIcIbD8AXDcAfC0Wdm0mtgauliajW0Tx55g5FOpWa9tt295NpNaPaHoAKwGLRIMUo41VI1mJtlgaoCkhRJhplb1sBrbXoRVFQca/TC5Q0hLAS0kgSbWYchmVYcbfDA5Q8BAPQaGRMKU9HsDyMvNfJ6igJkWCPNGNyBIBSfBH9YgVbWIKSq8IZUeEIqbEYdQmEV9e4gPMEwhuemIMduRFWTP7oG4OlCigqtLEWbZHSlsrEnOgZrNTLsJhl2kw6KGqnoiyQwJXznokx856JMKKrA/ionvvymHpuP1ON4oy/mGvXuIN7fU43391TDqJMxqSiy7tulg9ORatbDHYh87oEA9NpI4wVzP69+Y8KN4MgrwoBho87pnNrKwxcoGrrQzufzDfTM57wrr50zWME/io+jwRPEtiYrbpg0oNuvS0SxJDUc0zaeCECkdZ3a8pdtWRsZxRC1Ianhsx9E1Id0paGE3aTD1MEOZNsMqHL6EQipMOhk5KcaUeSwdilZ0rYzakdOr4o6XduEXUhREW5JgLWymbRwekPwhRQYtJoOr9W2Qi7LZoTTF0Ke3Ri5p7CKrBQ9nJ4AmoMK0s2RdcEEBBRVQJYkhBQVqlBRUe9FRZ03Wqll0MnIthtR3eSLTsnVtlSBeQKRBhSDMq2wm3Xt7kUgkjgLhlW4/WGkGLXRe8lLNSHFqIU/pES6t7bcr1Yjwx9WUNnghaKqSDHqolOC690BNHlDyLUZMXlQemS9Mwg4rAYcrG6GRpYgSxI0msgztxm1qAqEIUmR9fisBg1OuvzwhRTUOn2wm7QwaCWU1rgwIjcFkwamI8Woa7cGYFuN3iByU42w6DU9Utl4PjSyhBSjDilGHVRVwNvS8dQbVDA6346hWSm4+dJCVDv9KD7aiM2H63Gg2gW1zS+P/pCKL1rWhJMAjMqzRaeeFqSbEAyrCIaDaPICsiRFEm/6yBTU0zvy9mVMuBFRQjHpNJg7Lg9v7jiOBm8Q7+2uwtSUeEdF1LdYS/4e7xCIiIj6DLspsgj+kKzOq+HO5PTOqKc7vSrqdG0Tdioi1VwhRYVBG7mWTpbhFmEoqujwWm0TP3mpZthMYRw+6YbLryDXHlmP7qTLD09IQaMnMl31hFNt6awqIcdmRFWTD0a9Bv5gGA6rMVqp1eAJwGLQwmrUQiCyQL+EyCpxsgQ4rEaMK0iLJjZPr1BzeoOo8wRwtN6D/FQT0ix6hEUk0QfEJrAAwKyTEQwrONUcwEXZ3w4iDFoNDFYNDtY2I82iQ6ZVD29IRYpBB60cqX6rdweg18hIMeoQCIXhC6qQBCAQmS4qyzLsFgO0gTDCKtDgjjRUyE01YubIbBSkmQHgrGsAFqSZ4QkqcHqDONHkg8NyfpWNPUGWI0llq0GLJm8QZTXNqG7ywxMMQyNJmFCYhu+PzYOiqNha3oCvDtdje0UD/KFvE7YCwL4qF/ZVufD8pnIMSDNh2mAHpg914JI8OyCjTfUbYqrfDFq5R5OJiYYJNyJKOClGHeaMy8M/io+j2unHtqAWkPrPX0KIiIiIKLl0pRquMx11Rm3r9KTS6dom7Ew6TTR5ZLBGjg+pKrRSZH2xjq51+pRWq0GLIVlW1Dh9cHpDMGpkHHEGYdJpobHJ8AbCUBQVp5r9MGhkqCKS3BuQZkZ+miV6XaNOg7xUM3whBZIEqKqKSN8FAQkSjDoJAzOsuDjPFk26dFShNjjDioo6DyobfKj3BJCZYkJYEah2+mKaWACAN6TCoNEgM0WPU80B2Exa6GQZIVWFyxdGZooeejnSyfX05+4NKvD4Q3BYDTjeoEKFgEkfmUYKRKrfdLKEUfk2jMxJgSIkDM2yIMWgQ5Hj2/s+0xqAqWY9Khu8aHAH0eQLofyUGwUOM/JTzR2swXbmysae5PSFsL/KBU8gjPw0E3QaCc3+MGpcfhw+6caQLCtmj8rB7FE5CIZV7KxsxOYj9fjqcD3q3cGYax1v9OGt4uN4q/g4bEYtpg52YPoQByYPTINZr21X/WbSt6z91ger35hwI6KElGE14Adj8rC25ASqfDLSr7oDQnASHNH5MhqNWL9+fbzDoATm9/tx3XXXAQDWrl0Lo9F4ljOoP+PXB1HPOZfOqB05PXHUmjyqc/uRYox0QE016dDkDcJq1LW7VkdTWq0GLYZkWuENhiHLgC+oYFi2FSeafNhf7USV0w9ZkhHQKMhIMWBQhgUXZXU8LSU/1QydLMORYkCjN4hAUIGQgOwUAwZmWGEzfpuW6KhCzQBgUIYFde4AymqboZVlhBWlXROL1nsx6DQYnmPDSZcfTm8IbhGGVpKQmaJHZooR/lCkElGStNHn3uwPIT/VhHq3DKcvhPKTHoQVgSGZJmg0OrgDkUYYWXYDJhWmIdVsQJMvCFUFMm2GdsnQjtYAVBQV+1qSWmlmPQw6GbUuP2qdfvhDKoZkWmOSbmerbOwpnU1tTTXrkWrWo6rJi2BYgdVmhC+kQK+VcelgBy4d7MB9MwUO1rrx1eE6bD7cgG9OxTbYc/nD+OhALT46UAudRsK4glRMH+LAtMEOZNmMUEVkarGnpfpNp5Fhbmm8YNQlf/UbE25ElLDy00y4elQO1u2tQsr47+EfpW5MPPd+D0SEyC/zJlP7v5oTdcRoNPLrhYioF3W1M2pHOkrYDXJYUNnowYkmH/SyDGuqFnlppg6v1dmUVkmSIEkSfCEVA9LMyEszIaComKhLhyzLMGgkhBQBpy+AU+4ggkrHU2J1GjmSBMu2whdSUV7nhssXWbT/YE0z6tyBaEfOzirUWrtgjs63w2HRYdSAVGSlGNolZFrvRa+RMSTTCl9IgaKK6PmBsBpNgHX03O0mHUYXpGJghhm7Kp1QVBUBRUAXAqxGHYbn2JFmNsATDMPpC2FghqXTZGjbqkchBPaecMcktYSQkZViwKnmIHzBMGpckcYWEiLXOltlY085W9OOdIsBHn8YZoMWWTYjfEEFnmAY3oCCsKpieE4Khuek4JYZg1Dj8mPL4UjlW8mxJoTbLPwWUgS2VzRie0Uj/rjhGwzLsras++bA0CwrpJap0E6fCqcvBFmSYIx2PtXErEuYLJhwI6KENjTLinFpCkoatfj7PjfGbz+GGycXxDssIiIiIqIe1ZXOqGc69/SEXY7NiCGZKcixG5BuMXR6rTNNaVVUAZcvhEGZZjh9IaiqhCKHNWa/JANOTwjHG7wYmWtr9xqtlVqRZJsHnoCCDKuhw46cQogzVKgZohVqna39dfq9tHY/bdVREquj527WybgoOwUHa92wm3RwB8MtjQVUNPgCcPnCGJxpweSitC41xugoqSVJEnLsJngCCpy+IE45A8ixGaGV5S5VNvaUc23a0ToFFFbA36bhQkhRkWMzYu74fMwdnw9PIIztFZF137aWN6DZH9t459BJNw6ddOOVzUeRaTVEkm9DHRg7IDWyHqGIdFP1BsOox7fVb62db5Oh+o0JN6I4KC0t7dXzkt2QFBUb/+9N2KfdiCVr9yIjRY8rR2THOywiIiIioh7VnbXgzjdhd6YprXXuAMwGLcx6HWqbfDBoJXgCYWhkCQatjLCqwqzTwJKmxfEmHwZmWDpMcuXYDTjV7D9rR86BDss5Vaidy72cKYnV0XMflJmCk81BVNR5AAEISSAUUhEQwLAsK75zUSbsnVSFna6zpFbrenknGr041uhFrSuAVJOuS5WNPaU7TTuMOg2MOg0ciCTfvMFIAi6kqLAYtLh8eBYuH54FRRXYe8KJzYfr8eXhOlQ1+WOuc8odwLu7q/Du7iqYdBpMHpSG6UMyMHVQevQZtK1+k6TI10Nr8q2zZGG8MeFG1ItcDacAADfffHO3ruN2u89+UB/T9PmrmHvTAnxa4cOi13bhb7dNxfjCtHiHRURERESUMM43YWczajEow4LyOjfq3AFoZQk6jYyBGWZkphhRfsqNY00+yJIEIQRkSUKKUQtJAgakm5FpMcDlb0RVkw8D0sztklwZViMO1jR3Om2xtSPnQIflnCvUTted6bkdklq7qkrQ6zSQpUii6VwqrM6U1LIatChMN8Ni0GLMADvsZv05dbntru427WjVmnxLt+gRCCvwBiJTT4NhFRo5sn7buIJU3HHZYFQ2ePFVy9TTA1UutF2p2xdS8PnBOnx+sA6yBFySb49OPR3Q0glWtKl+AyLVb61TTxOp+o0JN6Je5HO7AADX/uphDB9z7ouRlW7biPWv/BF+v//sB/dBd06yQ9VbsfHgKdz68nb8753TMTjTevYTiYiIiIioQ05fKJqcCikqIAEWgxYDMyzItRtxvMmHHeUNqHH5kWszwmrQwh9WUdngRYpJh5G5Ohh0GgzOtCLDqocnEG6X5BJCdGnaoqKKbjWQaNWd6bnAt40EAODSQQ74QpH1ykKKgE6WUO8J4mi9G6PzU7t0zbMltZp8IQxINyEv1dTryaLuNu3oiEGrgUGrQZpFj2BYhTcYhieoIBBSoq9X5LDgpimFaPQGseVIA746XIfiikb4w992ZVUFsOe4E3uOO7F64xEUppujybeRuTZo5EhMIUVFyKfC1VL9ZtTJMOu0MBviu/YbE25EceDIK8KAYaPO+bzaysMXIJrkoZUl/HneBNz0whbsOe7Ez1/chrfvmo6sFHZKIyIiIiI6V05fCPtOOKOdM1vXVWv0BlFe54FFr0GjJ4gB6SaoUCNTASVAAwmFDjMkSGj2h6CoKoocZozKtcEbUtsludyBcJenLVoN2h6pUOvO9Ny2a65JkgRVALWuAFzeEMJCQFUE6t0BZFiNyEs9e5OhC5HU6kk9XhXYhl4rQ6/VI9Uc+Tx7AwrcwTACIQVApLrxmktycM0lOQiEFOysbMLmI/XYfLge9Z5gzLUqG7yobPDi9e3HYDfpcOngdEwfkoFJRWmRdeUQSZb6ggp8QQVBRYfMFMP5P5huYsKNiJKKxaDFiwsn40fPfYWj9V7c8tJ2vH77pUgxXvj1DYiIiIiI+orWKq4zratWVuuGxx/CgDQzcmxG7K9xwesPw2bWwarXwhtUcKTOg7EDUlGYboEsy7Aa2lcUneu0xe5WqHVX2zXX3IEwDp9ywxcMI8Wog04jIxBWcKLRh73HnbAYtF1KSF3IpFZP6I1nrtPIsJtl2M26DpNvBp0G04Y4MG2IA+osgYO1zdGpp0dOeWKu5fSF8M/9tfjn/lroNBImFKZhesu5Gdb4JdnaYsKNiJJOhtWAV2+dguv//BX2V7lw51934sWFkxN2sUwiIiIiokTTUefMttLMetS6fAAkpFsNMOo0GJVrR7XTB5c3hCZfCDIAu0mLi3JSzpgwOp8Kr+5UqHVX65prgbCCaqcPvmAYGdZvZ9XIkoRMqwGBsILKBg8uybN3uZtsPBOJZ9Obz7yj5JsnGIa/JfkmSxJG5NgwIseGW2cMQo3T35J8q8Pu404o6rcrv4UUga3lDdha3oBnPj6E4dkpmD7EgasuzkaGVR+358uEGxElpSKHBS/dMhk/fX4LvvimDg/8YzeW3zgOspwYb1ZERERERImss86ZrXQaGQKABESngloNWgzNaukeqgiEVBWqKpBuOXu3zkSv8GqrtSKvos4DlzfUbjaNyxdGZooeOTYj6puD8ASVLieq4plITFRtk29hRYUnqMAbDMMXVKLH5NiNuH5CPq6fkA+3P4xtFQ348ps6bKtogCegxFyvrLYZZbXNeOmrCuSnmvDIDy7G7FE5vX1bTLgRUfIoLS1tt23xVBuWftGId0qqEPI04dZxtnZ/wcjIyEBhYWFvhUlERERElPDO1DkTiKy3ZTVoYdJrIlM+W6aCSpBg1mkBHVDt9HWpg2WrRK/watVakVfd5MMpdwD5aSaoaiTB6PKFYdZrkGM3Qa/VwOUPI6yoZ78odYlWI8NukmE36aCoAp5gGN6AAl9IgRCRqjarUYsrR2ThyhFZCCsq9pxwYnPL1NNqZ2yDwRNNPqTGKZnLhBsRJTxXwykAwM0339zhfsuoK5Hx/cVYd8iLv7/+Jho/XgO0aS5tMpvxdWkpk25ERERERC26uq5aQZoZ+6tcPbbYf7JUeNlNOowekIqqJj+a/WF4ZQVaSYpUttlNkW6tISXa7IF6nkaWYDPqYDPqoKoC3pACTyBS+aa2JN+0GhkTCtMwoTANd10+BBX1Xnx1uA5fHa5HaXUzUs06TCxKi0v8if9VTkT9ns/tAgBc+6uHMXzMxA6PKXeHsbNBA9vE72PMd67BhHQFkhTp7PrasvtRV1fHhBsRERERUYuurquWTFNBe1qu3YgJRak4Wu9FhtUAjSzBpPu2Iu/0Zg904chyJFFrNWghhIA3qESr31qTb5IkYVCGBYMyLJg3tQiBsIombyhuCVEm3IgoaTjyijBg2KgO9w0AkFHtwkcHalHh0cBgTcWsi7N6N0AiIiIioiTS1WRaskwF7WmSJGFghhXugAJ3IIw0sx6qAEJh5bwr/Kj7JEmCxaCFxaCFsAr4Qgo8gci6b22bKWRYDRiZa4tbnEy4EVGfMTLXBo0s4cP9NSirbYY7EMYES7yjIiIiIiJKXF1NpiXLVNCe1p8r/JKBJEkw67Uw67UADPC1qXyLt/733UJEfdpF2SkwaGX8394anGjywenWQZva+x1piIiIiIgSnRAiJtFmN+lYrdXi9GdzSZ4N3pDaryr8kpFJr4FJrwGsiHszC67sR0R9TpHDghsmDYDVoIU7LCHn58uxvcp/9hOJzmDVqlUYOHAgjEYjpk6dim3btsU7JCIiIqLz5vSFsPeEEzvKG7CjohE7yhuw94QTTl8o3qHFXUfPZl+VC4oqkGrWw2rQMtmWBOLdzIIJNyLqkzKsBvxkcgHS9Co0JhuWftGI//fBAQTDbNlN5+6NN97A4sWL8eijj2Lnzp0YO3YsZs+ejZMnT8Y7NCIiIqJz5vSFsO+EEzVOPywGLTJTDLAYtKhx+rGvnyfd+Gyop3BKKRH1WVaDFpdlh/Hq2vWwTZqD//miHNsrGrDsx2MwIid+i2dS8lm+fDluu+023HLLLQCA1atXY926dXjxxRfx0EMPxTk6Ol9CCPj9rH5t1fZZ8LnEMhqNrGQgoj5DCIGj9R54AmHk2k3R7UadBrl2E6qdPlQ2eHBJnr3f/ezjs6GexIQbEfVpGglo3PACnrh3IZ4rbsbu4058/9kvcPt3BuOemcNg1LGFN51ZMBhEcXExlixZEt0myzJmzZqFzZs3d3hOIBBAIBCIfuxyuS54nHTu/H4/rrnmmniHkZCuu+66eIeQUNavXw+TyXT2A4mIkoAnqKDBHUSaWd/h/jSzHvXNQXiCSr9rksBnQz2JU0qJqF+Ymm/Ev35zGWaPykZYFfjzZ4fx3Wc+x7slJ6C2aR1NdLq6ujooioLs7OyY7dnZ2aipqenwnKVLl8Jut0f/FRQU9EaoRERERGcVVlSEVQG9tuN0gE4jI6yKuC84Hw98NtSTmJIlon4jx27EmvmT8M/9NXj03f2obPDi3tdLsHrjEfz2uxfhyhFZLA2nHrFkyRIsXrw4+rHL5WLSLQEZjUasX78+3mEkDCFEtDLTYDDw52EbRqMx3iEQEfUYrUaGVpYQDKsdzvYIKSq0shT3Befjgc+GehITbkTU78welYN/G5qBF78ox/OfH0FptQu/eGUHhmen4Bf/PghzxuXBoOVUU4rIyMiARqNBbW1tzPba2lrk5OR0eI7BYIDBYOiN8KgbJEniNMHTmM3meIdA1K+tWrUKTz31FGpqajB27FisXLkSU6ZMiXdY1MdY9BqkW/Wocfpj1ilr1egNIjfVCIu+//0+zGdDPYlpWSLqlywGLX49cxg+f+AK/Oo7g2HWa1BW24wH/rEHM37/KZauL8Wh2uZ4h0kJQK/XY+LEidiwYUN0m6qq2LBhA6ZNmxbHyIiIqC9hR2zqLZIkochhgcWgRbXTB39IgaIK+EMKqp0+WAxaFKZb+mWlM58N9SQm3IioX0uz6LHkeyOxeclMLLlmBHLtRtS5A1iz8QiueuZzzFn1Jf6yuQJN3mC8Q6U4Wrx4MV544QW88sorKC0txZ133gmPxxPtWkpERNRdbTtiX3zxxVi9ejXMZjNefPHFeIdGfZDdpMMl+Xbk2I3wBMKocwcinTlTjbgk3w67SRfvEOOGz4Z6CqeUElG/UFpaetZjJqcA469KxY4qPz6t8KG4OoDdx5qw+1gTHn//AKYPzcDVo3Jw1cXZyEzhdMH+5Cc/+QlOnTqFRx55BDU1NRg3bhw+/PDDdo0UiIiIzse5dsRmN2zqCXaTDqPz7fAEFYQVFVqNDItew+ot8NlQz2DCjYj6NFfDKQDAzTfffM7nyuZUWC6+DCljrgIyB+Lzg6fw+cFTePidvZhclI7Zl+Rg9qhsDEjjmkf9wd13342777473mEQEVEfdKaO2F9//XW745cuXYrHH3+8t8KjPkySJFgNTAt0hM+GuotfPUTUp/nckb/4XvurhzF8zMRzPr+28jBeW3Y3nvn//oY6Qz62nPDjm4YQtlU0YFtFA/77gwMotGsxIceAibkGDM/QQyt/+5evjIwMFBYW9tj9EBEREbEbNhFR4mPCjYj6BUdeEQYMG3XO57VWyP3mFz+LbtOkZMJ80aUwXzQdhgEXo9IJVDrDeKfMAzXgga+iBL7DO+CvKIFe8eDr0lIm3YiIiKhT59oRm92wiYgSHxNuRERncLYKuYCi4KRfoMYnocYvI2iwwDJ8BizDZwAAQk01eOz/vsG1k2VcOsSB/NT27cWJiIiof2vbEXvu3LkAvu2IzeUMiIiSExNuRERdcKYKuSEt/xVCoNYVQEW9B0frvah1+aBLzcEnFT58UrEbAFCQbsKkonSMGWDHmAF2XJxrh0mv6aW7ICIiokS1ePFiLFiwAJMmTcKUKVOwYsUKdsQmIkpiTLgREfUQSZKQYzcix27EpYMdKC/bjxeW/z/c8cjTKPfosPeEE8cafDjWcAJrd50AAGhkCcOyrBiek4KhmVYMy7ZiaJYVRQ4LdBo5zndEREREvYUdsYmI+hYm3IiILhCdDPjLd2KS7gTmTxsJX8iA0rogvmkI4ZvGEL5pCKHJr+LrmmZ8XdMcc64sAQ6TBhkmCTkpOmSaNciyaJBp0cBh0iDdJMOoPXNCjg0biIiIkgs7YhMR9R1MuBERXSCtDRduvvnmTo/RWB3Q5wyBzlEInaMAuowC6BwFgN6EU14Fp7xAaX24w3PVgAfh5noo7gYorf911yPsjvy/LuzFni2bMHhQ0QW5PyIiIiIiIupYn0m4rVq1Ck899RRqamowduxYrFy5ElOmTIl3WETUj52t4UJnhAD8ShAH9pZg+5ef4ZKrfgJz5gB4whK8YQk+BVCEBNlggd5gATI6r2KbuWYfHNZDyLYZkG0ztvwzIKfl/7NsBmSlGJFu0UMjS92+ZyIiIiIiIuojCbc33ngDixcvxurVqzF16lSsWLECs2fPRllZGbKysuIdHhH1c2dquHAmrqrD2Fj6OUb89GaMmzoiZl8grMATUOAJhOEOhNv8V4EnGIbT7YMnGAY0OtS5A6hzB7C/ytXpa8kSkG4xIMOqR2aKAZlWAzJSDFh0+VDYzbpzjp2IiIiIiKg/6xMJt+XLl+O2226LdvBZvXo11q1bhxdffBEPPfRQnKMjIup5Bq0GBq0G6RZ9h/uPH9qP5Yt+hNUv/xUZA4ag3qeg0aeiwa+gwaegwaeiwaeg3qeiOaBCFYgm5tquJ7fo8qG9dUtERERERER9RtIn3ILBIIqLi7FkyZLoNlmWMWvWLGzevLnDcwKBAAKBQPRjp9MJAHC5Oq/+6Izb7QYQGdwGfN5zPr+28jAAoKbiIA5bzL12Ll+7/8XO1+5fr11RuguAwB0L53XhaAmS2QaNORUaSyo0Jjs0llTobQ4cO1IE6TwaL7T+PBVCnPO5fVHrczif9xkiImqP7zOx+D5DRNSzeuJ9RhJJ/i5VVVWF/Px8fPXVV5g2bVp0+wMPPICNGzdi69at7c557LHH8Pjjj/dmmERE/dKxY8cwYMCAeIcRd8ePH0dBQUG8wyAi6nP4PhPB9xkiogujO+8zSV/hdj6WLFmCxYsXRz9WVRUNDQ1wOByQpHNbNNzlcqGgoADHjh2DzWbr6VAvGMbde5IxZoBx96ZkjBk4c9xCCDQ3NyMvLy9O0SWWvLw8HDt2DCkpKef8PkPUm5L15xH1P3yfidXd95lk/N5PxpgBxt3bkjHuZIwZ6Htx98T7TNIn3DIyMqDRaFBbWxuzvba2Fjk5OR2eYzAYYDAYYralpqZ2Kw6bzZZUX1StGHfvScaYAcbdm5IxZqDzuO12exyiSUyyLLMCg5JKsv48ov6F7zPf6qn3mWT83k/GmAHG3duSMe5kjBnoW3F3931G7tbZCUCv12PixInYsGFDdJuqqtiwYUPMFFMiIiIiIiIiIqLekPQVbgCwePFiLFiwAJMmTcKUKVOwYsUKeDyeaNdSIiIiIiIiIiKi3tInEm4/+clPcOrUKTzyyCOoqanBuHHj8OGHHyI7O/uCv7bBYMCjjz7abopqomPcvScZYwYYd29KxpiB5I2biDrH72ui/ikZv/eTMWaAcfe2ZIw7GWMGGHdHkr5LKRERERERERERUSJJ+jXciIiIiIiIiIiIEgkTbkRERERERERERD2ICTciIiIiIiIiIqIexIQbERERERERERFRD2LCrZtWrVqFgQMHwmg0YurUqdi2bVu8Q4paunQpJk+ejJSUFGRlZWHu3LkoKyuLOcbv92PRokVwOBywWq340Y9+hNra2jhF3LHf//73kCQJ9913X3RbosZ94sQJ3HzzzXA4HDCZTBg9ejR27NgR3S+EwCOPPILc3FyYTCbMmjULhw4dilu8iqLgd7/7HQYNGgSTyYQhQ4bgv//7v9G2l0oixPz555/jBz/4AfLy8iBJEt55552Y/V2JsaGhAfPmzYPNZkNqaip+8YtfwO12xy3uUCiEBx98EKNHj4bFYkFeXh5+/vOfo6qqKqHjPt0dd9wBSZKwYsWKuMdNRERE5y6RxzNA3xjTcDxzYXFMc+F+x+Z4pntxM+HWDW+88QYWL16MRx99FDt37sTYsWMxe/ZsnDx5Mt6hAQA2btyIRYsWYcuWLfjoo48QCoXw3e9+Fx6PJ3rMb37zG7z//vt46623sHHjRlRVVeH666+PY9Sxtm/fjjVr1mDMmDEx2xMx7sbGRsyYMQM6nQ7r16/HgQMH8PTTTyMtLS16zB/+8Ac8++yzWL16NbZu3QqLxYLZs2fD7/fHJeZly5bhueeew5/+9CeUlpZi2bJl+MMf/oCVK1cmVMwejwdjx47FqlWrOtzflRjnzZuH/fv346OPPsIHH3yAzz//HLfffnvc4vZ6vdi5cyd+97vfYefOnXj77bdRVlaGH/7whzHHJVrcba1duxZbtmxBXl5eu33xiJuIiIjOTaKPZ4DkH9NwPHPhcUxz4X7H5nimm3ELOm9TpkwRixYtin6sKIrIy8sTS5cujWNUnTt58qQAIDZu3CiEEKKpqUnodDrx1ltvRY8pLS0VAMTmzZvjFWZUc3OzGDZsmPjoo4/EZZddJu69914hROLG/eCDD4p/+7d/63S/qqoiJydHPPXUU9FtTU1NwmAwiL///e+9EWI71157rbj11ltjtl1//fVi3rx5QojEjBmAWLt2bfTjrsR44MABAUBs3749esz69euFJEnixIkTcYm7I9u2bRMAxNGjR4UQiR338ePHRX5+vti3b58oKioSzzzzTHRfIsRNREREZ5ds4xkhkmtMw/FM7+CYpnd+x+Z45tzjZoXbeQoGgyguLsasWbOi22RZxqxZs7B58+Y4RtY5p9MJAEhPTwcAFBcXIxQKxdzDiBEjUFhYmBD3sGjRIlx77bUx8QGJG/d7772HSZMm4YYbbkBWVhbGjx+PF154Ibq/vLwcNTU1MXHb7XZMnTo1bnFPnz4dGzZswMGDBwEAu3fvxhdffIFrrrkmYWM+XVdi3Lx5M1JTUzFp0qToMbNmzYIsy9i6dWuvx9wZp9MJSZKQmpoKIHHjVlUV8+fPx/33349Ro0a125+ocRMREdG3knE8AyTXmIbjmd7BMU3i/I7N8UwsbY9E2w/V1dVBURRkZ2fHbM/OzsbXX38dp6g6p6oq7rvvPsyYMQOXXHIJAKCmpgZ6vT76zdAqOzsbNTU1cYjyW6+//jp27tyJ7du3t9uXqHEfOXIEzz33HBYvXoz//M//xPbt23HPPfdAr9djwYIF0dg6+pqJV9wPPfQQXC4XRowYAY1GA0VR8MQTT2DevHkAkJAxn64rMdbU1CArKytmv1arRXp6esLch9/vx4MPPoibbroJNpsNQOLGvWzZMmi1Wtxzzz0d7k/UuImIiOhbyTaeAZJrTMPxTO/hmCYxfsfmeKY9Jtz6iUWLFmHfvn344osv4h3KWR07dgz33nsvPvroIxiNxniH02WqqmLSpEl48sknAQDjx4/Hvn37sHr1aixYsCDO0XXszTffxGuvvYa//e1vGDVqFEpKSnDfffchLy8vYWPui0KhEG688UYIIfDcc8/FO5wzKi4uxh//+Efs3LkTkiTFOxwiIiLqR5JlTMPxTO/imCb+OJ7pGKeUnqeMjAxoNJp2nWRqa2uRk5MTp6g6dvfdd+ODDz7Ap59+igEDBkS35+TkIBgMoqmpKeb4eN9DcXExTp48iQkTJkCr1UKr1WLjxo149tlnodVqkZ2dnZBx5+bm4uKLL47ZNnLkSFRWVgJANLZE+pq5//778dBDD+GnP/0pRo8ejfnz5+M3v/kNli5dCiAxYz5dV2LMyclpt/hvOBxGQ0ND3O+j9c3p6NGj+Oijj6J/DQISM+5Nmzbh5MmTKCwsjH5/Hj16FP/xH/+BgQMHAkjMuImIiChWMo1ngOQa03A807s4ponv79gcz3SOCbfzpNfrMXHiRGzYsCG6TVVVbNiwAdOmTYtjZN8SQuDuu+/G2rVr8cknn2DQoEEx+ydOnAidThdzD2VlZaisrIzrPcycORN79+5FSUlJ9N+kSZMwb9686P8nYtwzZsxo16L84MGDKCoqAgAMGjQIOTk5MXG7XC5s3bo1bnF7vV7IcuyPAY1GA1VVASRmzKfrSozTpk1DU1MTiouLo8d88sknUFUVU6dO7fWYW7W+OR06dAgff/wxHA5HzP5EjHv+/PnYs2dPzPdnXl4e7r//fvzzn/9M2LiJiIgoVjKMZ4DkHNNwPNO7OKaJ3+/YHM+cxfl2eiAhXn/9dWEwGMTLL78sDhw4IG6//XaRmpoqampq4h2aEEKIO++8U9jtdvHZZ5+J6urq6D+v1xs95o477hCFhYXik08+ETt27BDTpk0T06ZNi2PUHWvb1UeIxIx727ZtQqvViieeeEIcOnRIvPbaa8JsNou//vWv0WN+//vfi9TUVPHuu++KPXv2iDlz5ohBgwYJn88Xl5gXLFgg8vPzxQcffCDKy8vF22+/LTIyMsQDDzyQUDE3NzeLXbt2iV27dgkAYvny5WLXrl3R7jddifHqq68W48ePF1u3bhVffPGFGDZsmLjpppviFncwGBQ//OEPxYABA0RJSUnM92ggEEjYuDtyelefeMVNRERE5ybRxzNC9J0xDcczFw7HNBfud2yOZ7oXNxNu3bRy5UpRWFgo9Hq9mDJlitiyZUu8Q4oC0OG/l156KXqMz+cTd911l0hLSxNms1lcd911orq6On5Bd+L0N6hEjfv9998Xl1xyiTAYDGLEiBHi+eefj9mvqqr43e9+J7Kzs4XBYBAzZ84UZWVlcYpWCJfLJe69915RWFgojEajGDx4sHj44YdjfkAmQsyffvpph1/LCxYs6HKM9fX14qabbhJWq1XYbDZxyy23iObm5rjFXV5e3un36KeffpqwcXekozeoeMRNRERE5y6RxzNC9J0xDcczFw7HNBfud2yOZ7oXtySEEF2vhyMiIiIiIiIiIqIz4RpuREREREREREREPYgJNyIiIiIiIiIioh7EhBsREREREREREVEPYsKNiIiIiIiIiIioBzHhRkRERERERERE1IOYcCMiIiIiIiIiIupBTLgRERERERERERH1ICbciC6gxx57DOPGjev2dQYOHIgVK1ZEP5YkCe+88063r5tITr9HIiIiIiKKP45puo5jGmqLCTeiJLB9+3bcfvvtHe6rqKiAJEkoKSnp8vUWLlyIuXPn9kxwREREREREZ8ExDfU32ngHQJTIFEWBJEmQ5fjmpjMzM+P6+kRERERElJw4piGKD1a4UdJ49dVX4XA4EAgEYrbPnTsX8+fPBwC8++67mDBhAoxGIwYPHozHH38c4XA4euzy5csxevRoWCwWFBQU4K677oLb7Y7uf/nll5Gamor33nsPF198MQwGAyorK/HZZ59hypQpsFgsSE1NxYwZM3D06NEux75mzRoUFBTAbDbjxhtvhNPpjO67/PLLcd9997W7p4ULF0Y/PlNp8qBBgwAA48ePhyRJuPzyy88Yy2OPPYZXXnkF7777LiRJgiRJ+OyzzwAAe/fuxZVXXgmTyQSHw4Hbb7895vmcyZme0eHDhzFnzhxkZ2fDarVi8uTJ+Pjjj894vaamJvzyl79EZmYmbDYbrrzySuzevbtLsRARERERJSKOaVZ0eG2OaagvYsKNksYNN9wARVHw3nvvRbedPHkS69atw6233opNmzbh5z//Oe69914cOHAAa9aswcsvv4wnnngierwsy3j22Wexf/9+vPLKK/jkk0/wwAMPxLyO1+vFsmXL8D//8z/Yv38/0tPTMXfuXFx22WXYs2cPNm/ejNtvvx2SJHUp7m+++QZvvvkm3n//fXz44YfYtWsX7rrrrp55KAC2bdsGAPj4449RXV2Nt99++4zH//a3v8WNN96Iq6++GtXV1aiursb06dPh8Xgwe/ZspKWlYfv27Xjrrbfw8ccf4+677z5rDOFw+IzPyO1243vf+x42bNiAXbt24eqrr8YPfvADVFZWdnrNG264ASdPnsT69etRXFyMCRMmYObMmWhoaDiHp0NERERElDg4pukYxzTUJwmiJHLnnXeKa665Jvrx008/LQYPHixUVRUzZ84UTz75ZMzxf/nLX0Rubm6n13vrrbeEw+GIfvzSSy8JAKKkpCS6rb6+XgAQn3322TnH++ijjwqNRiOOHz8e3bZ+/Xohy7Korq4WQghx2WWXiXvvvTfmvDlz5ogFCxZEPy4qKhLPPPNM9GMAYu3atUIIIcrLywUAsWvXri7HtWDBAjFnzpyYbc8//7xIS0sTbrc7um3dunVClmVRU1NzxuudzzMaNWqUWLlyZfTjtve4adMmYbPZhN/vjzlnyJAhYs2aNV1+DSIiIiKiRMMxTQTHNNTXcQ03Siq33XYbJk+ejBMnTiA/Px8vv/wyFi5cCEmSsHv3bnz55Zcxf/1RFAV+vx9erxdmsxkff/wxli5diq+//houlwvhcDhmPwDo9XqMGTMmeo309HQsXLgQs2fPxlVXXYVZs2bhxhtvRG5ubpdiLiwsRH5+fvTjadOmQVVVlJWVIScnp4eeTPeVlpZi7NixsFgs0W0zZsyIxpqdnd3puWd7Rm63G4899hjWrVuH6upqhMNh+Hy+Tv8atHv3brjdbjgcjpjtPp8Phw8f7oG7JSIiIiKKD45pLhyOaSiRcEopJZXx48dj7NixePXVV1FcXIz9+/dH1wVwu914/PHHUVJSEv23d+9eHDp0CEajERUVFfj+97+PMWPG4H//939RXFyMVatWAQCCwWD0NUwmU7vS6pdeegmbN2/G9OnT8cYbb+Ciiy7Cli1beuSeZFmGECJmWygU6pFr96YzPaPf/va3WLt2LZ588kls2rQJJSUlGD16dMxzb8vtdiM3Nzfmc1lSUoKysjLcf//9vXlbREREREQ9imOaxMUxDfUkVrhR0vnlL3+JFStW4MSJE5g1axYKCgoAABMmTEBZWRmGDh3a4XnFxcVQVRVPP/10tEPPm2++2eXXHT9+PMaPH48lS5Zg2rRp+Nvf/oZLL730rOdVVlaiqqoKeXl5AIAtW7ZAlmUMHz4cQKRbT3V1dfR4RVGwb98+XHHFFV2KS6/XR8/rKr1e3+74kSNH4uWXX4bH44n+RejLL7+MifVsOntGX375JRYuXIjrrrsOQOTNp6KiotPrTJgwATU1NdBqtRg4cGCX74uIiIiIKBlwTBOLYxrqi1jhRknnZz/7GY4fP44XXngBt956a3T7I488gldffRWPP/449u/fj9LSUrz++uv4r//6LwDA0KFDEQqFsHLlShw5cgR/+ctfsHr16rO+Xnl5OZYsWYLNmzfj6NGj+Ne//oVDhw5h5MiRXYrXaDRiwYIF2L17NzZt2oR77rkHN954Y7T0+sorr8S6deuwbt06fP3117jzzjvR1NTU5eeRlZUFk8mEDz/8ELW1tTHdgjozcOBA7NmzB2VlZairq0MoFMK8efOise7btw+ffvopfv3rX2P+/PlnLL0Gzv6Mhg0bhrfffhslJSXYvXs3fvazn0FV1U6vN2vWLEybNg1z587Fv/71L1RUVOCrr77Cww8/jB07dnT52RARERERJSKOaWJxTEN9UrwXkSM6H/Pnzxfp6entFqD88MMPxfTp04XJZBI2m01MmTJFPP/889H9y5cvF7m5ucJkMonZs2eLV199VQAQjY2NQojIAqN2uz3mmjU1NWLu3LkiNzdX6PV6UVRUJB555BGhKMpZ43z00UfF2LFjxZ///GeRl5cnjEaj+PGPfywaGhqixwSDQXHnnXeK9PR0kZWVJZYuXXpOC4wKIcQLL7wgCgoKhCzL4rLLLjtrXCdPnhRXXXWVsFqtAoD49NNPhRBC7NmzR1xxxRXCaDSK9PR0cdttt4nm5uazXu9sz6i8vFxcccUVwmQyiYKCAvGnP/2p3cKqp9+jy+USv/71r0VeXp7Q6XSioKBAzJs3T1RWVp41HiIiIiKiRMcxDcc01LdJQpw20ZooCcycOROjRo3Cs88+G+9QiIiIiIiIzhnHNER9GxNulFQaGxvx2Wef4cc//jEOHDjQ5Xn4REREREREiYBjGqL+gU0TKKmMHz8ejY2NWLZsWUK8MY0aNQpHjx7tcN+aNWswb968Xo4owmq1drpv/fr1+Pd///eEuCYRERERUX/DMU3XcExDyY4VbkTdcPTo0U7bXWdnZyMlJaWXI4r45ptvOt2Xn58Pk8mUENckIiIiIqL44pime9ck6gwTbkRERERERERERD1IjncAREREREREREREfQkTbkRERERERERERD2ICTciIiIiIiIiIqIexIQbERERERERERFRD2LCjYiIiIiIiIiIqAcx4UZERERERERERNSDmHAjIiIiIiIiIiLqQUy4ERERERERERER9aD/H8h81AqzexLWAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Floor_area_ratio\n"
     ]
    },
    {
     "data": {
      "image/png": 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dnZ0yr7CwELW1tck5RybVEuOJsaPNCQQCiEQiaGhogGEY7c458hrHiqU9ixcvhs/nSx6lpaXH/osgIqIewcQaERERERH1W48//jimTZuGkpKSdIfSbRYsWAC/35889u3bl+6QiIgGLDndARAREREREfWEvXv34rXXXsNf/vKX5LmioiKoqoqWlpaUSrG6ujoUFRUl53y1e2eiU+eRc77avbOurg5erxdOpxOSJEGSpHbnHHmNY8XSHrvdDrvd3sm/BSIi6kmsWCMiIiIion7pySefREFBAaZPn548N2HCBNhsNqxfvz557tNPP0V1dTUqKioAABUVFdixY0dK985169bB6/Vi5MiRyTlHXiMxJ3ENRVEwYcKElDmmaWL9+vXJOZ2JhYiIMhsr1oiIiIiIqN8xTRNPPvkkZs+eDVn+8mOPz+fDnDlzUFlZidzcXHi9Xtx6662oqKjAueeeCwC4+OKLMXLkSFx77bV44IEHUFtbi7vuugtz585NVor96Ec/wiOPPII777wTN9xwA15//XWsXr0aL730UvKxKisrMXv2bJx11lk455xz8PDDDyMUCuH666/vdCxERJTZmFgjIiIiIqJ+57XXXkN1dTVuuOGGNmMPPfQQRFHElVdeiVgshqlTp+L3v/99clySJLz44ou45ZZbUFFRAbfbjdmzZ2PRokXJOcOGDcNLL72E+fPnY+nSpRgyZAgee+wxTJ06NTln5syZqK+vx8KFC1FbW4szzzwTa9euTWlocKxYiIgoswmWZVnpDiLdAoEAfD4f/H4/vF5vusPpFR988AGe2bwXQ06Ol7K//8aLkJxejD33a+3e3r/7Y3z/3HKMGzcubTETUd8xEF9Xj4Z/H0RE3Yuvq6n490FE1L2O53WVe6wRERERERERERGdgLQm1jZs2IAZM2agpKQEgiBgzZo1KeOCILR7/Nd//VdyztChQ9uM33///b38TIiIiIiIiIiIaKBJa2ItFAph7NixWLZsWbvjNTU1KccTTzwBQRBw5ZVXpsxbtGhRyrxbb721N8LvV2otHz6J+fBFQxCmOeBXBxMRERERERERHVNamxdMmzYN06ZN63C8qKgo5fZf//pXTJ48GcOHD085n5WV1WYudd4nNQF8ZhUBOvDCP2twaqEHhce+GxERERERERHRgNZn9lirq6vDSy+9hDlz5rQZu//++5GXl4dx48bhv/7rv6Drehoi7JvqAlG89kkdACBHjEEQgH/VBeG3nGmOjIiIiIiIiIgos6W1Yu14PPXUU8jKysIVV1yRcv62227D+PHjkZubi40bN2LBggWoqanBkiVLOrxWLBZDLBZL3g4EAj0Wd6b7YF8LTAvIQytGOYJozD4NOw8GsMcahBzLn+7wiIiIiIiIiIgyVp9JrD3xxBOYNWsWHA5HyvnKysrkn8eMGQNFUfDDH/4Qixcvht1ub/daixcvxn333dej8WYaTdOwc+fO5O1du3ZB1RV8figIACgVmiAICs4ZlotPalsRMF1oMSPpCpeIiIiIiIiIKOP1iaWg//jHP/Dpp5/ixhtvPObciRMnQtd17Nmzp8M5CxYsgN/vTx779u3rxmgz086dO7Hk+TfwzOa98WPdFvyrPgrdtJDrUuBBFACQ5bDh9KIsAECD7jjaJYmIiIiIiIiIBrQ+UbH2+OOPY8KECRg7duwx527fvh2iKKKgoKDDOXa7vcNqtv6soHQ4hpw8EgBwaN8X+FB3AQBGlGRB+OLLecMHufHRwQAaDDssy4IgCOkIl4iIiIiIiIgoo6U1sRYMBrF79+7k7aqqKmzfvh25ubkoKysDEN//7Pnnn8eDDz7Y5v6bNm3Cu+++i8mTJyMrKwubNm3C/Pnz8f3vfx85OTm99jz6Is2S4LcUAMDphV7864jEWmmuCyJMxCwZjSEVgzwDLwlJRERERERERHQsaU2sbd26FZMnT07eTuyXNnv2bKxYsQIA8Oyzz8KyLFx99dVt7m+32/Hss8/i3nvvRSwWw7BhwzB//vyUfdeofX7Eu37muhV4HKn/DGySCB/CaIYHVQ0hJtaIiIiIiIiIiNqR1sTapEmTYFnWUefcfPPNuPnmm9sdGz9+PDZv3twTofV7ASueWBuc7Wx3PFcIodmKJ9bOHprbm6EREREREREREfUJfaJ5AXU/P+L7q3WUWMtBCABQF4hCN8xei4uIiIiIiIiIqK9gYm0AiukGgogv7yzJbr/zpwMabDBgWkBDUO3N8IiIiChNNm7ciJkzZ2Ljxo3pDoWIiIioT2BibQCq8UcBCHAIOrIctnbnCAKQJWkAgNpAtBejIyIionSIRqNYsmQJ6urqsGTJEkSjfP8nIiIiOhYm1gaggy0RAIBPOnolmleMJ9bqmFgjIiLq91auXInGxkYAQGNjI1atWpXmiIiIiIgyHxNrA1B9awzAl4mzjmQxsUZEfcyGDRswY8YMlJSUQBAErFmz5qjz33zzTQiC0Oaora1Nmbds2TIMHToUDocDEydOxHvvvdeDz4Ko9+3fvx+rVq1KNpWyLAurVq3C/v370xwZERERUWZjYm0ASuyZ5jlWYu3wUtDmsAaV/QuIqA8IhUIYO3Ysli1bdlz3+/TTT1FTU5M8CgoKkmPPPfccKisrcc899+D999/H2LFjMXXqVBw6dKi7wydKC8uysHTp0g7PH6uDOxEREdFAJqc7AOpdUc1AMKYDANyiftS5imDC65ARiOpoiQm9ER4RUZdMmzYN06ZNO+77FRQUIDs7u92xJUuW4KabbsL1118PAFi+fDleeuklPPHEE/j5z3/elXCJMkJ1dTW2bNnS5rxhGNiyZQuqq6tRXl6ehsiIiIiIMh8r1gaYhmB8GagdKmTh2N9AF3rjXUObVSbWiKj/OvPMM1FcXIxvfOMbeOedd5LnVVXFtm3bMGXKlOQ5URQxZcoUbNq0qcPrxWIxBAKBlIMoU5WVleHss8+GJEkp5yVJwjnnnIOysrI0RUZERESU+ZhYG2CSy0AR69T8QR47ACCgMbFGRP1PcXExli9fjj//+c/485//jNLSUkyaNAnvv/8+AKChoQGGYaCwsDDlfoWFhW32YTvS4sWL4fP5kkdpaWmPPg+irhAEAT/+8Y87PC8I/B2AiIiIqCNMrA0wiYo1VycTa7luBQDQevTt2IiI+qTTTjsNP/zhDzFhwgScd955eOKJJ3DeeefhoYce6tJ1FyxYAL/fnzz27dvXTRET9YwhQ4bgmmuuSSbRBEHANddcg8GDB6c5MiIiIqLMxsTaAJPoCOoRji+xFtAEmNy8mIgGgHPOOQe7d+8GAAwaNAiSJKGuri5lTl1dHYqKijq8ht1uh9frTTmIMt2sWbOQl5cHIP5v/5prrklzRERERESZj4m1AcSygMZQfCmou5MVa9lOG0QBMCwBDWGjJ8MjIsoI27dvR3FxMQBAURRMmDAB69evT46bpon169ejoqIiXSES9QiHw4HKykoUFhZi/vz5cDgc6Q6JiPoZy7IQjOloCasIxnR2HSaifoFdQQeQoA4YpgVZFOCwNADOY95HFAXkuBQ0hlTsCxy9iygRUboFg8FktRkAVFVVYfv27cjNzUVZWRkWLFiAAwcO4OmnnwYAPPzwwxg2bBjOOOMMRKNRPPbYY3j99dfx6quvJq9RWVmJ2bNn46yzzsI555yDhx9+GKFQKNkllKg/Oe+883DeeeelOwwi6of8EQ17G0NoCqrQD38myfUoKM9zw+e0pTs8IqITxsRaP6ZpGnbu3AkA2LVrF1rV+DfP2S4bhHDnr5PrjifW9vuZWCOizLZ161ZMnjw5ebuyshIAMHv2bKxYsQI1NTWorq5Ojquqip/85Cc4cOAAXC4XxowZg9deey3lGjNnzkR9fT0WLlyI2tpanHnmmVi7dm2bhgZERETUPn9Ew84DfoRiOnJcChRZhKqbqPVH0RrVMWqwj8k1IuqzmFjrx3bu3Iklz7+BgtLh2LVlC6JDzgKgINulAMeZWAPAijUiyniTJk066rKSFStWpNy+8847ceeddx7zuvPmzcO8efO6Gh4REdGAY1kW9jaGEIrpKPZ9uWLGYZNQ7HOixh9BdVMIo0p87EJMRH0S91jr5wpKh2PIySORWzQEETOeR81xHd+3QXnJxBpbgxIRERERUeeFVANNQRU5LqXd8RyXgsZWFSGV+zkTUd/EirUBJHw4sZbtUhA9jvslKtb2B+IbjPKbJCIiIiIi6gzdMKGbFhS5/ZoOmyRCNy3ohtnLkZ04y7IQUg3ohglZEuFWJH5GIhrAmFgbQCKWBCDe6bP2OO6X7VIAWAhrQH0whoIsdgkjIiIiIqJjkyURsihA1U04bFKbcc0wIYsCZKlvLKZiEwYi+qq+8epFXWZYAmJWYilo+2XYHZFEAa7D74HVjcexORsREREREQ1obkVCrkdBc1htd7w5rCIvS4FbaZt0ywSWZSEY09ESVnGwJYId+1tQ64/CbZeRn2WH2y6j1h/FzgN++CPcOodoIGLF2gARRfzbE7sswmE7/nyqSzYRNiRseP8TSM0uAMCoUaNgs/FbGSIiIiIiap8gCCjPc6M1qqPGH0GOS4FNEqEZJprDKtx2GWW57oxcSnlkdZpmmNjfHIZmWhg9ODtZfccmDETExNoAEUG8Si3HpZzQC70cawWQjXWfNuJAXT0O7fsClQDGjRvXvYESEREREVG/4nPaMGqwr80SyuJsB8pyM3MJpT+iYecBP0IxHTkuBbplQqu3oJkmPj8UxEkFHnjsX36cPrIJw5Hniaj/40/8AJFIrGUfZ0fQBIegARZgOrMx5OSi7gyNiIiIiIj6OZ/ThtGDfX1i03/LsrC3MYRQTEexzwkAaI2aECUBRVlONAZV1PojOCnfk4y/LzZhIKLuwcTaABGxupZYcyK+J4I/zH0DiIiIiIjo+AmC0CequUKqgaagmrI3tSQJkAUBmmHC65ThD2uIaAZcSvz59LUmDETUffhTP0Ak9lg70TJrB+IJNW7ISURERERE/ZlumNBNC4r85cdlp02C12VDa1SDTRShWxYM00qOZ3oTBiLqOUysDRBdT6zFK9YimoGYbnRbXERERJQ5Hn/8cXz961/H448/nu5QiLrswIED+P73v4+8vDw4nU6MHj0aW7duTY5bloWFCxeiuLgYTqcTU6ZMwWeffZZyjaamJsyaNQterxfZ2dmYM2cOgsFgypwPP/wQF154IRwOB0pLS/HAAw+0ieX555/H6aefDofDgdGjR+Pll19OGe9MLNR7ZEmELApQ9S+XdQoQUOxzwqnIqA1EYJgWBABRzUCNP5LRTRiIqGcxsTYAGKaF2OFVv17HiSXWZMGCDfGEGqvWiIiI+p+WlhasXLkSpmli5cqVaGlpSXdIRCesubkZ559/Pmw2G/7+97/j448/xoMPPoicnJzknAceeAC//e1vsXz5crz77rtwu92YOnUqotFocs6sWbPw0UcfYd26dXjxxRexYcMG3HzzzcnxQCCAiy++GOXl5di2bRv+67/+C/feey/+8Ic/JOds3LgRV199NebMmYMPPvgAl19+OS6//HLs3LnzuGKh3uNWJOR6FDSH1ZTzHruMk/I9sEki7JKIYEyP78OW7cCowb6MbMJARD0v8xe4U5cFYzoAASIsuLpQmuwUDWimBH9Yg7P7wiMiIqIMcPfdd8M049UZpmli4cKF+O1vf5vmqIhOzK9//WuUlpbiySefTJ4bNmxY8s+WZeHhhx/GXXfdhW9961sAgKeffhqFhYVYs2YNrrrqKnzyySdYu3YttmzZgrPOOgsA8Lvf/Q6XXnopfvOb36CkpAQrV66Eqqp44oknoCgKzjjjDGzfvh1LlixJJuCWLl2KSy65BHfccQcA4Be/+AXWrVuHRx55BMuXL+9ULNS7BEFAeZ4brVEdNf4IclwKbJIIzTDRGtUwssSL4fkeuBQpo5swEFHvYMXaABA4XGFmF4wuveA7BFasERER9Udbt27Fjh07Us59+OGHKcvmiPqSv/3tbzjrrLPw3e9+FwUFBRg3bhz++Mc/JserqqpQW1uLKVOmJM/5fD5MnDgRmzZtAgBs2rQJ2dnZyaQaAEyZMgWiKOLdd99Nzvna174GRflyk/upU6fi008/RXNzc3LOkY+TmJN4nM7E8lWxWAyBQCDloO7lc9owarAPRT4HQjEdDcFYsjpt9JBslGQ7ke1S4LHLTKoRDXBMrA0AgWg8EeYQ9S5dx3n4/kysERER9R+maWLRokXtji1atChZxUbUl3zxxRd49NFHccopp+CVV17BLbfcgttuuw1PPfUUAKC2thYAUFhYmHK/wsLC5FhtbS0KCgpSxmVZRm5ubsqc9q5x5GN0NOfI8WPF8lWLFy+Gz+dLHqWlpcf6K6ET4HPaMHqwD2cNy8VZQ3Nw1rBcjCrhkk8iSsXE2gAQiMQTYomKsxOVuH9rtGsJOiIiIsoc7777bofVLoFAIFmZQ9SXmKaJ8ePH41e/+hXGjRuHm2++GTfddBOWL1+e7tC6xYIFC+D3+5PHvn370h1SvyUIAjx2mdVpRNQhJtYGgETFmrOriTXRSLkeERER9X0TJ06E1+ttdyyxHI2orykuLsbIkSNTzo0YMQLV1dUAgKKiIgBAXV1dypy6urrkWFFREQ4dOpQyrus6mpqaUua0d40jH6OjOUeOHyuWr7Lb7fB6vSkHdY5lWQjGdLSEVQRjOizLSndIRNTHMbE2ACT2WEskxk6U/YiKNb7/EBER9Q+iKGLhwoXtjt1zzz0QRf66SH3P+eefj08//TTl3L/+9S+Ul5cDiDcyKCoqwvr165PjiQrNiooKAEBFRQVaWlqwbdu25JzXX38dpmkmE84VFRXYsGEDNO3LL57XrVuH0047LdmBtKKiIuVxEnMSj9OZWKh7+CMadhzwY2tVE7buacbWqibsOOBPbnXDpBsRnQj+pjQABKLdsxQ0kVjTTQsqt1shIiLqN8466yyMHj065dyYMWMwfvz4NEVE1DXz58/H5s2b8atf/Qq7d+/GqlWr8Ic//AFz584FEF/ed/vtt+M///M/8be//Q07duzAddddh5KSElx++eUA4hVul1xyCW666Sa89957eOeddzBv3jxcddVVKCkpAQBcc801UBQFc+bMwUcffYTnnnsOS5cuRWVlZTKWH//4x1i7di0efPBB7Nq1C/feey+2bt2KefPmdToW6jp/RMPOA37U+qNw22XkZ9nhtsuo9Uex84Af+5rDR026ERF1RE53ANSzDAsIxg4n1rpYsSYJgEuREFYNhLnNGhERUb/yi1/8AldccQVM04Qoih02NCDqC84++2z83//9HxYsWIBFixZh2LBhePjhhzFr1qzknDvvvBOhUAg333wzWlpacMEFF2Dt2rVwOBzJOStXrsS8efNw0UUXQRRFXHnllfjtb3+bHPf5fHj11Vcxd+5cTJgwAYMGDcLChQtx8803J+ecd955WLVqFe666y78+7//O0455RSsWbMGo0aNOq5Y6MRZloW9jaF4V0+fM3neYZNQ7HPi8/ogqhqCyPfYkeu2Q5FFqLqJWn8UrVEdowazYQERdYyJtX7ucN8CiDBhQ9fLzLIccjyxZnDTTiIiov4kOzsbs2bNwsqVKzFr1ixkZ2enOySiLrnssstw2WWXdTguCAIWLVp01CRybm4uVq1addTHGTNmDP7xj38cdc53v/tdfPe73+1SLHTiQqqBpqCKHJfSZsyChYimoy4QwykFWXDYJABfJt1q/BFUN4UwqsTHxgVE1C4m1vq5sB5/8bdDQ3e8D3gdNtQFYsnrEhERUf8xZ84czJkzJ91hEBF1K90woZsWFLntTkgRzUAkZsBpk2CYbfdUy3EpaGxVEVINeOz8+ExEbaV1j7UNGzZgxowZKCkpgSAIWLNmTcr4D37wAwiCkHJccsklKXOampowa9YseL1eZGdnY86cOQgGg734LDJb+PDqTzu6Z+1mliP+ZsKloERERP3Pxo0bMXPmTGzcuDHdoRARdRtZEiGLAlS97Qoew7AQ1U04bCIksW3xgE0SoZsWdIObTBNR+9KaWAuFQhg7diyWLVvW4ZxLLrkENTU1yeN///d/U8ZnzZqFjz76COvWrcOLL76IDRs2pOxpMNBFjqhY6w5ZjvjeAhEuBSUiIupXotEolixZgrq6OixZsgTRaDTdIRERdQu3IiHXo6A5rLYZkyQBEc2AW5HhPLwM9EiaYUIWBcgS+/4RUfvSWss6bdo0TJs27ahz7HY7ioqK2h375JNPsHbtWmzZsgVnnXUWAOB3v/sdLr30UvzmN79JdusZyBJ7obFijYiIiI5m5cqVaGxsBAA0NjZi1apVuOGGG9IcFRFR1wmCgPI8N1qjOmr8EeS4FNgkEZphoiWkoiDLDrtNbHcPteawiuJsB9xK26QbERGQ5oq1znjzzTdRUFCA0047DbfcckvyFz4A2LRpE7Kzs5NJNQCYMmUKRFHEu+++m45wM06ieYFd6J5MmPdwxRr3WCMiIuo/9u/fj1WrVsGy4vsLWZaFVatWYf/+/WmOjIioe/icNowa7EORz4FQTEdDMIZQTEdJjhOTTi9AfpYDNf4IopoBw7QQ1QzU+CNw22WU5brZuICIOpTRuy9ecskluOKKKzBs2DB8/vnn+Pd//3dMmzYNmzZtgiRJqK2tRUFBQcp9ZFlGbm4uamtrO7xuLBZDLBZL3g4EAj32HNItYhy5FLTr/7sTFWsxU0BMb7u5JxEREfUtlmVh6dKlHZ5/4IEH+IGSiPoFn9OG0YN9CKkGdMOELIlwKxIEQYDXYcPexhCagip004IsCijOdqAs1w2f05bu0Ikog2V0Yu2qq65K/nn06NEYM2YMTjrpJLz55pu46KKLTvi6ixcvxn333dcdIWa8RMWaAh3d8b/bLouwSQI0w0JDojMCERER9VnV1dXYsmVLm/OGYWDLli2orq5GeXl5GiIjIup+giC0293zaEk3IqKjyfiloEcaPnw4Bg0ahN27dwMAioqKcOjQoZQ5uq6jqampw33ZAGDBggXw+/3JY9++fT0ad7pENBOa1b3NC458I2qMMLFGRETU15WVleHss89u8+FREAScc845KCsrS1NkRES9K/FZJ9ulwGOXmVQjok7pU4m1/fv3o7GxEcXFxQCAiooKtLS0YNu2bck5r7/+OkzTxMSJEzu8jt1uh9frTTn6o4bDiS9FFiEL3bds03N4OWgTE2tERER9niAImDlzZnJ/tQTLsjBz5kx+sCQiIiI6irQm1oLBILZv347t27cDAKqqqrB9+3ZUV1cjGAzijjvuwObNm7Fnzx6sX78e3/rWt3DyySdj6tSpAIARI0bgkksuwU033YT33nsP77zzDubNm4errrqKHUEBNB5eqpnVTqlzVyQr1rgUlIiIqM+zLAvPPfdcu2PPPvtsm4QbEREREX0prYm1rVu3Yty4cRg3bhwAoLKyEuPGjcPChQshSRI+/PBDfPOb38Spp56KOXPmYMKECfjHP/4Bu92evMbKlStx+umn46KLLsKll16KCy64AH/4wx/S9ZQySmIPtESFWXdJJNYaWLFGRETU53W0xxqA5B5rRERERNS+tDYvmDRp0lG/BX3llVeOeY3c3FysWrWqO8PqNxp6uGKtKWJ263WJiIio9w0ePLhL40REREQDWZ/aY42OT2M4nvjqqYo1LgUlIiLq+1566aUujRMRERENZEys9WOJpZpZdlu3XvfLijUm1oiIiPq6yy67DJIktTsmyzIuu+yyXo6IiIiIqO9gYq0fa+ypPdYOX68lakIzuByUiIioL5MkCXfccUe7Y3feeWeHSTciokxkWRaCMR0tYRXBmM4GLETU45hY68eao/HEmlvp3l+InTYJIixYAA61xrr12kRERNT7LrnkEgwaNCjlXH5+Pi6++OI0RUREdPz8EQ07DvixtaoJW/c0Y2tVE3Yc8MMf0dIdGhH1Y0ys9VNRzUBQjX874+nm5gWCIMAhxa+9YcuH+OCDD6BpfLMiIiLqy772ta8d9TYRUSbzRzTsPOBHrT8Kt11GfpYdbruMWn8UO5lcI6IexMRaP1V/uJJMFCwocvf/b5aNKABgzT9rseT5N7Bz585ufwwiIiLqHfv378df//rXlHN//etfsX///jRFRER9QaYsu7QsC3sbQwjFdBT7nHDYJIiCAIdNQrHPiVBMR3VTiMtCiahHMLHWT9UF4okvpxSvMOtuCvT4f3OKUFA6vNuvT0RERL3DsiwsXboUppm6b6phGFi6dCk/iBJRuzJp2WVINdAUVJHjUtodz3EpaGxVEVLZfI2Iuh8Ta/1UXSBesZZYstnd7IcTa6GY3iPXJyIiot5RXV2NLVu2tEmgWZaFLVu2oLq6Ok2REVGmyrRll7phQjdTV+pYsBDWdLRGNehmvOmazsZrRNQDmFjrpw61xivWHD3UyMsuxBNqwSgTa0SUOTZs2IAZM2agpKQEgiBgzZo1R53/l7/8Bd/4xjeQn58Pr9eLiooKvPLKKylz7r33XgiCkHKcfvrpPfgsiHpXaWkpPB5Pu2MejwelpaW9HBERZbJMXHYpSyJkUYCqxxNnwZiO3YeC+ORAAB/XBLBjnx/7m8MIs2KNiHoAE2v9iKZp+OCDD/DBBx/gw8/i3y47xJ75ViaxFDSoMrFGRJkjFAph7NixWLZsWafmb9iwAd/4xjfw8ssvY9u2bZg8eTJmzJiBDz74IGXeGWecgZqamuTx9ttv90T4RGlRXV2NYDDY7lgwGGTFGhGlyMRll25FQq5HQfPhvd4+rw+iMRiDQ5GQ41KgmfGKti/qg2xiQETdrnvbRVJa7dy5E0uefwMFpcOxrUECIMKKhXvksZTkUlB+60NEmWPatGmYNm1ap+c//PDDKbd/9atf4a9//SteeOEFjBs3LnlelmUUFRV1V5hEGeVYVSXcY42IjtTesssj2SQRumn16rJLQRBQnudGIKJhx/4WaIaJIq8TmmmiMajC51RwUoEHrVEN1U0hjCrx9cg+1EQ0MLFirZ8pKB2OISePhGV3AwAUoWcr1sKsWCOifsQ0TbS2tiI3Nzfl/GeffYaSkhIMHz4cs2bNOmYFTywWQyAQSDmIMtWxPlzywycRHemryy6/SjNMyKIAWerdj5o+pw3D8z2wSSJkSURzREVUNZCfFU+qeewymxgQUY9gYq2fSlSSKWLPvGkkEmuaYaGD91Qioj7nN7/5DYLBIL73ve8lz02cOBErVqzA2rVr8eijj6KqqgoXXnghWltbO7zO4sWL4fP5kgf3qKJMVl5ejtGjR7c7NmbMGJSXl/dyRESUyY5cdtme5rCKvCwFbqWHNns+CpciYUiOE2OG+DCy2IsRJV6clB9PqgHpqaYjov6PibV+KtGt095DFWuSYEFC/NoRfuFDRP3AqlWrcN9992H16tUoKChInp82bRq++93vYsyYMZg6dSpefvlltLS0YPXq1R1ea8GCBfD7/clj3759vfEUiE6IIAiYPXt2u2OzZ89mxRoRpUgsu3TbZdT4I4hqBgzTQlQzUOOPwG2XUZbrTstrhyyJ8Yo1UUSWwwaXIqfEka5qOiLq3/iK0g/phonY4TIyRei5rFdimWnU4C/cRNS3Pfvss7jxxhuxevVqTJky5ahzs7Ozceqpp2L37t0dzrHb7fB6vSkHUaayLAvPPfdcu2PPPvss91gjojZ8ThtGDfahyOdAKKajIRiLdwnNdmDUYB98Tlta4srkajoi6r/YvKAfSuwZIMKEjJ77ZVgRDEQsGVFWrBFRH/a///u/uOGGG/Dss89i+vTpx5wfDAbx+eef49prr+2F6Ih6XnV1NbZs2dLu2JYtW1BdXc3loETUhs9pw+jBPoRUA7phQpZEuBUprVWuiWq61qiOGn8EOS4FNkmEZphoDqtpraYjov6LFWv9UGIZqAIdPfmewYo1Iso0wWAQ27dvx/bt2wEAVVVV2L59e7LZwIIFC3Ddddcl569atQrXXXcdHnzwQUycOBG1tbWora2F3+9PzvnpT3+Kt956C3v27MHGjRvx7W9/G5Ik4eqrr+7V50bUU8rKynD22We3O3bOOeegrKyslyMior5CEAR47DKyXQo8djkjElaZWk1HRP0XK9b6oSMTaz3py8Rajz4MEVGnbd26FZMnT07erqysBBDfJ2rFihWoqalJ6ej5hz/8AbquY+7cuZg7d27yfGI+AOzfvx9XX301GhsbkZ+fjwsuuACbN29Gfn5+7zwpoh4mCAJOOumkdqvWhg8fnhEflImIjkcmVtMRUf/FxFo/lFgK2tOJNfvh/dtYsUZEmWLSpElH3Q8qkSxLePPNN495zWeffbaLURFlNl3XO/x3nth/UJb5KyMR9S2Jajoiop7GV5p+KJisWOvZUrJExVpEt7Br166UsVGjRsFmY5k1ERFRpnvyySePOX7TTTf1UjREREREfQsTa/1QOJFYE3p6KWg8cReK6Vj1j09waosTAHBo3xeoBDBu3LgefXwiIiLqumN1/WRXUCIiIqKOsXlBPxRUe2mPNTFesaZCQl5xGYacPBJDTh6JgtLhPfq4RERE1H2+/vWvd2mciIiIaCBjxVo/FI4ducdaz/0vTlSs6ZBh8stsIiKiPkmSpC6NExFlGsuy2LiAiHoNE2v9UDClK2jP/S+2wYIoAKYFqBaLH4mIiPoiLgUlov7EH9GwtzGEpqAK3bQgiYBLkVGc7UCu294tSTYm7ojoSMyG9DOGCcT0+BLNnl4KKgjxNykAUC1+m01ERNQX1dbWdmmcKBPde++9EAQh5Tj99NOT49FoFHPnzkVeXh48Hg+uvPJK1NXVpVyjuroa06dPh8vlQkFBAe644w7oeurv12+++SbGjx8Pu92Ok08+uU33aQBYtmwZhg4dCofDgYkTJ+K9995LGe9MLNQ5/oiGnQf8qPVH4bbLcCoSagNRvL27AX99/yDe2nUIOw744Y9oXXqMHQf82FrVhK17mrG1qqnL1ySivo2JtX4mergRqCQKkGH2+OO57fGEGivWiIiI+qZzzjmnS+NEmeqMM85ATU1N8nj77beTY/Pnz8cLL7yA559/Hm+99RYOHjyIK664IjluGAamT58OVVWxceNGPPXUU1ixYgUWLlyYnFNVVYXp06dj8uTJ2L59O26//XbceOONeOWVV5JznnvuOVRWVuKee+7B+++/j7Fjx2Lq1Kk4dOhQp2OhzrEsC3sbQwjFdBT7nNBNC1UNIQSjOgZnO6HYRARjOmpaIth5gomwrybu8rPscNtl1PqjJ3xNIur7mA3pZyJGvAQ5Xo7c84/nZsUaERFRn/bV6pnjHSfKVLIso6ioKHkMGjQIAOD3+/H4449jyZIl+PrXv44JEybgySefxMaNG7F582YAwKuvvoqPP/4YzzzzDM4880xMmzYNv/jFL7Bs2TKoqgoAWL58OYYNG4YHH3wQI0aMwLx58/Cd73wHDz30UDKGJUuW4KabbsL111+PkSNHYvny5XC5XHjiiSc6HQt1Tkg10BRUkeNSYMFCjT+CiKpjkMcBuyzB57QhohrIdikIxXRUN4WOa6n7VxN3DpsEURDgsEko9jlP6JpE1D8wsdbPJCrW3Pbe2T7PpcQTajFWrBEREfVJhYWFXRonylSfffYZSkpKMHz4cMyaNQvV1dUAgG3btkHTNEyZMiU59/TTT0dZWRk2bdoEANi0aRNGjx6d8u9/6tSpCAQC+Oijj5JzjrxGYk7iGqqqYtu2bSlzRFHElClTknM6E0t7YrEYAoFAyjHQ6YYJ3bSgyCIimoFAWEOWw5Yct4kidMuCYVrIcSlobFURUo12r2VZFoIxHS1hFcGYntxTLZG4a8+xrklE/RezIf1M9HDFmqeXEmuJBB6XghIREfVN3GON+qOJEydixYoVWLt2LR599FFUVVXhwgsvRGtrK2pra6EoCrKzs1PuU1hYmPz3Xltb2yapnLh9rDmBQACRSAQNDQ0wDKPdOUde41ixtGfx4sXw+XzJo7S0tHN/Mf2YLImQRQGqbsIwLOiWBZv05WcUzTQhCwIkUYBNEqGbFnSj7dY5He2h1hSKJRN37TnaNYmof2NX0H4mkqhYU3opscaloERERH1aSUlJl8aJMtG0adOSfx4zZgwmTpyI8vJyrF69Gk6nM42RdY8FCxagsrIyeTsQCAz45JpbkZDrUVDrj8LnskEWBGiGCbsc/5wSiOjIz1LgtEmI6SZkUYAspSbJEnuohWI6clwKFFmEqpuo9UdxqDWGmGZA1U04bG0/+2hG+9ckov6PP/X9TKJiLdFUoKexeQEREVHfVlZWBlFs/31cFEWUlZX1ckRE3S87Oxunnnoqdu/ejaKiIqiqipaWlpQ5dXV1KCoqAgAUFRW16cyZuH2sOV6vF06nE4MGDYIkSe3OOfIax4qlPXa7HV6vN+UY6ARBQHmeG267jJaQCrsiwh9REdMN1LfG4FIkFPmcEAQBzWEVeVkK3MqXn5mOtodakc+BUFRHc0TFwZZwu/uotXdNIhoYmA3pZ3p9jzU7K9aIqPvU19fj7bffxttvv436+vp0h0M0ILz33nswzfaXLpmmyeYF1C8Eg0F8/vnnKC4uxoQJE2Cz2bB+/frk+Kefforq6mpUVFQAACoqKrBjx46U7p3r1q2D1+vFyJEjk3OOvEZiTuIaiqJgwoQJKXNM08T69euTczoTC3Wez2nDqME+FGc7keWwIaabONASgc8pY+ggN2RRQI0/ArddRlmuG8IR3d462kMtGNOx+1AQdf4oqpvC+KIhjM1VjWgMxmCYFqKa0eE1iWhg4FLQfubLijUZkV54vMQ3MqolwrIsvpEQ0QkJhUK49dZb8T//8z8wjPg3BJIk4brrrsPvfvc7uFyuNEdI1H9NnDgRXq+33c3PfT4fJk6cmIaoiLrmpz/9KWbMmIHy8nIcPHgQ99xzDyRJwtVXXw2fz4c5c+agsrISubm58Hq9uPXWW1FRUYFzzz0XAHDxxRdj5MiRuPbaa/HAAw+gtrYWd911F+bOnQu73Q4A+NGPfoRHHnkEd955J2644Qa8/vrrWL16NV566aVkHJWVlZg9ezbOOussnHPOOXj44YcRCoVw/fXXA0CnYqHj43PaMHqwD8PzPRgzJBsHW8KIxAxENQO6YaI424GyXDd8TlvK/Y5sfpAQjOn4vD6IiKrD45QhiECRz4malgg+PhjAkFwnvA5bh9ckooGBibV+5ss91iQ09MLjuQ7vsWZBQFQz4WTpMxGdgMrKSrz11lv429/+hvPPPx8A8Pbbb+O2227DT37yEzz66KNpjpCo/xJFEf/v//0/3H///W3G/t//+38dLhMlymT79+/H1VdfjcbGRuTn5+OCCy7A5s2bkZ+fDwB46KGHIIoirrzySsRiMUydOhW///3vk/eXJAkvvvgibrnlFlRUVMDtdmP27NlYtGhRcs6wYcPw0ksvYf78+Vi6dCmGDBmCxx57DFOnTk3OmTlzJurr67Fw4ULU1tbizDPPxNq1a1MaGhwrFjp+giDAY5fhscsozXEipMaTarIkwq1I7RYDHNn8wGGTYMFCjT+CiKojz2NHa1SDZljIcsgoG56LvY1h5HvsGDXEB49dZoEB0QDGxFo/ohkWNDP+gu7qpaWgkihAhg4dMkKqzsQaEZ2QP//5z/jTn/6ESZMmJc9deumlcDqd+N73vsfEGlEPsiyrzXK2hNdeew0XX3wxPzBSn/Pss88eddzhcGDZsmVYtmxZh3PKy8vx8ssvH/U6kyZNwgcffHDUOfPmzcO8efO6FAuduESS7ViObH5Q7HMiohkIhDXIooh9TWEcbInAY5dRdSiIJreCHJeCmG5CEAS+RhINcEys9SP+WHx/FFEAHB20ge4JCox4Yi2mY5DH3muPS0T9RzgcTvn2PqGgoADhcDgNERENHNXV1diyZUu7Y1u2bEF1dTXKy8t7OSoionjivzPVZt0h0fygNaqjxh+BLArwxzQEIhr8YQ3ZLhuG5nkgSwIagzEEYzq8Tht0o+0elb0ZNxGlX1pr+zds2IAZM2agpKQEgiBgzZo1yTFN0/Czn/0Mo0ePhtvtRklJCa677jocPHgw5RpDhw5NfkuQONpbyjAQNB9eB+pSercUWYEOIL7hJxHRiaioqMA999yDaDSaPBeJRHDfffdx82aiHlZaWgqHw9HumMPhQGlpaS9HREQE+CMadhzwY2tVE7buacbWqibsOOCHP6L12GMmmh8U+RyI6gZqmiNoCakoz3Vj+CAP3HYZdlnCII8DrRENLaEYJDH1c1c64iai9EprxVooFMLYsWNxww034IorrkgZC4fDeP/993H33Xdj7NixaG5uxo9//GN885vfxNatW1PmLlq0CDfddFPydlZWVq/En2laDlesuXp5OWYysRbTe/Vxiaj/WLp0KaZOnYohQ4Zg7NixAIB//vOfcDgceOWVV9IcHVH/tmfPnpSk9pGi0Sj27NmD4cOH93JURDSQ+SMadh7wIxTTkeNSoMgiVN1ErT+K1qiOUYN9PdYoINH8oCDLjj31YcR0A4NznO0XLlhtk2rpipuI0ietibVp06Zh2rRp7Y75fD6sW7cu5dwjjzyCc845B9XV1SgrK0uez8rKQlFRUY/G2he0JCvW0pNYC7NijYhO0KhRo/DZZ59h5cqV2LVrFwDg6quvxqxZs+B0OtMcHVH/9s9//vOY40ysEVFvsSwLextDCMV0FPu+/B3AYZNQ7HOixh9BdVMIo0p8Pbos1GGTMCTXiZaIhoagCq9Thk0UoZkmAhEdHocNOS4bDNPKmLiJKD361B5rfr8fgiAgOzs75fz999+PX/ziFygrK8M111yD+fPnQ5b71FPrFi3RRMVa7z53RdABixVrRNQ1LpcrpfqYiHrH6NGjuzRORNSdQqqBpqCKHJfS7niOS0Fjq4qQanSqKcGJkiURXocNXocNzWEV/rCGoKVDFgTkZynJ+GRJ7HTcDa0xHGqNwS6L3HuNqB/pM9mnaDSKn/3sZ7j66qvh9XqT52+77TaMHz8eubm52LhxIxYsWICamhosWbKkw2vFYjHEYrHk7UAg0KOx95ZEYs1t7+2KtXilWkhlYo2IOu9vf/sbpk2bBpvNhr/97W9HnfvNb36zl6IiGngOHTp0zPGTTz65l6IhooFON0zopgWlg2ZsNkmEblrtNg3ojM42FjiyS+hJ+R5ENAOGaUESBThtEmoDURRnO+A+vFroWHGruond9UGEYgYcNgmyKCDXo6A8z83loUR9XJ9IrGmahu9973uwLAuPPvpoylhlZWXyz2PGjIGiKPjhD3+IxYsXw25vv0Pl4sWLcd999/VozOnQHP2yeUFv+nKPNS4FJaLOu/zyy1FbW4uCggJcfvnlHc4TBAGGwdcXop4yceJEiKII02z7IVUURUycODENURHRQCVLImRRgKqbcNjaFgxohglZFJKVYsfDH9GwtzGEpqAK7XAizOuUMWyQB8U+R0qC7cguobWBKHJcCuyKBM0wURuIwm2XUZbrTt7naHEHYzo+rWtFIKLjtAIbfC4b914j6kfS2hW0MxJJtb1792LdunUp1WrtmThxInRdx549ezqcs2DBAvj9/uSxb9++bo46Pfxpal5gO5xYi3CPNSI6DqZpoqCgIPnnjg4m1Yh6VnV1dbtJNSD+s1ldXd3LERHRQJaoFGsOq+2ON4dV5GUpyUqxzko0Fqj1x5u1BKIaqpvC2Li7Ef/3wQFs/qKpTefOI7uEhmI66lujaAjG4HFIGDbIDa/jy4KGjuK2YKHGH0F9awzDB7mR7bJBPLyHW7HPiVBMR3VTCJZlHdfzIaLMkdGJtURS7bPPPsNrr72GvLy8Y95n+/btEEUx+WGtPXa7HV6vN+XoD5oPNy9w93rFWvxxVcOEdoIl2UQ0sD399NMpS/QTVFXF008/nYaIiAaOgwcPdmmciKg7JSrF3HYZNf4IooeXYEY1AzX+SJtKsQTLshCM6WgJqwjG9JRE1ZGNBbIcNuxvjqAxqMHntGF4vgewLOw40IId+1vaTa6NHuzDqUVZcNtlQABCUQP/qm3FjgP+5PyO4m4Oq6hqCCE/S0GRr2130SP3jCOivimtS0GDwSB2796dvF1VVYXt27cjNzcXxcXF+M53voP3338fL774IgzDQG1tLQAgNzcXiqJg06ZNePfddzF58mRkZWVh06ZNmD9/Pr7//e8jJycnXU8rbZLNC3p5jzUJJkRYMCGwMygRnZDrr78el1xySZsvRVpbW3H99dfjuuuuS1NkRP1fcXFxl8aJiLpbolIssWxTNy3IooDibAfKctvuSXbkEs/E3CP3L0s0Fsh22nCgJYKwaiA/68ttg/I8dkRVA00htd3OnYGojqqGeGJukNsORRbbXcrZXtxRTYfPacNpRd52my10dc84Ikq/tCbWtm7dismTJydvJ/ZLmz17Nu69997kZtZnnnlmyv3eeOMNTJo0CXa7Hc8++yzuvfdexGIxDBs2DPPnz0/Zd22giKgGInr8W5neXgoqCIANBmKWjDAbGBDRCbAsq92Ng/fv3w+fz5eGiIgGDlE8+gKGY40TEfWERKXYsRoNJJZ4hmI6clxKMulV0xLBodYYTi30QBIEaIYJwxLhD2vwOlM/BsuiCN3S4bHLbTqOHlntVuxzJu+TWMpZ44+kJOO+GndMN/HxAT+UDvaE68qecUSUGdKaWJs0adJR15Ifa535+PHjsXnz5u4Oq09qCMaXUImC1eGLdk9SBBMxCwirBtpvGUFE1Na4ceMgCAIEQcBFF10EWf7ybckwDFRVVeGSSy5JY4RE/V9paelRmxeUlpamISoiovjyyvaqvBI6SnrpZrzzZ1VDAHsaQijxOVAXiGJQlgOaacJmCgipFiQBsMsSdNOELAhwKhJCMSOleixR7ZbjUtqN4cilnIlYj4zbsizUZdlR64+mxJjQHFZTuosSUd/TJ7qC0rEdao0n1hwi2q366GmKEH/zCceYWCOizkt0A92+fTumTp0Kj8eTHFMUBUOHDsWVV16ZpuiIBob33nvvqM0L3nvvPVRUVPRyVEREx9Ze0isY07H7UCv8EQ3uw108XYoEzbSwvboZmhFPqImSAAkCPA4ZggAMyXVBEoU21WP64e6hitx+8cKxlnIe2V20xh9BjkuBTRKhGSaaw2qHe8YRUd/BxFo/kahYc0jp6SaTSKyFVB0Db3c7IjpR99xzDwBg6NChmDlzJhwOR5ojIhp4zj777C6NExGly1eTXhYsfFEfxBf1IdhEAZplIhKLV5IVeR3YdTCAloiGQq8d+U4HVN1EdVMEHoeMESU2tIS1NtVjsiRCFgWougmHrW1VWWeWch7vnnFE1LcwsdZP1B+uWOvlvgVJihBvWhBWDf6rIqLjNnv27HSHQDRgvffee8ccP++883opGiKizvtq0qshGMOu2lYAFtx2BTaIsCwBLWEVB1siGOSxw+OQoRpWvMOoTUKBV4FuWPikxo8zh2S3qR5zKxJyPUqXl3J2ds84Iup7mALpJzKlYi2s6vxXRUTHzTAMPPTQQ1i9ejWqq6uhqmrKeFNTU5oiI+r/CgsLuzRORJQuRya9inwOHGyJIKoZGJzjhAgBzREVeS4FeW4F+5tbMChLQX6WC0XZDtT6o9jfHEFjSIVhWAhFdWjFbT9LdedSzmPtGUdEfRNbj/QTiYo1R9oq1hKJNSM9ARBRn3bfffdhyZIlmDlzJvx+PyorK3HFFVdAFEXce++96Q6PqF+rqanp0jgRUbokkl5uu4w9DSE0BTU4FQkR1UBzRIVDlpDnUWBa8SYFoYgBA4BLkSAAcDtkDM1zY8wQHwbnOJMdRv0RLeVxEks5i3wOhGI6GoKxeMOEbAdGDfZxKSfRAMd0eT+R7qWgtiOXghIRHaeVK1fij3/8I6ZPn457770XV199NU466SSMGTMGmzdvxm233ZbuEIn6rWN1YT/WOBFROiWSXh8d8GP3oSAkMb70c3C2Ex6HDBOAbhpQZAGNQRWDBSd27Pdjb1MYLkVGOKrDY5fgtttQkuOEP6yhuimEUSW+lCo0LuUkoo4wsdZPZNRSUCKi41RbW4vRo0cDADweD/x+PwDgsssuw913353O0IiIiCgDWJbVYVLL57Rh9BAf/BENhmlhT2MQDcEYmkMqIAKWYaGuNQbNstDQGsUXDWHIImCYJiwTqG42MDTPDcO0kONS0NiqIqQabZZtciknEbWHS0H7ifpEYi1N/0cTiTXNsKC332maiKhDQ4YMSS43O+mkk/Dqq68CALZs2QK73Z7O0Ij6PcM4erX5scaJutv//M//4Pzzz0dJSQn27t0LAHj44Yfx17/+Nc2RUbr4Ixp2HPBja1UTtu5pxtaqJuz4ypJNj13G4BwndNOCXZYhQoAlCAAEQBQhiyJMw8Jnh4LQDBNuuw12WYZhAYokIhDRsKchBFkUoJsWdIMfaoioc5hY6wcsyzpiKWh6KtYkxFtGA0CUv38T0XH69re/jfXr1wMAbr31Vtx999045ZRTcN111+GGG25Ic3RE/dubb77ZpXGi7vToo4+isrISl156KVpaWpKJ3ezsbDz88MPpDY7SIrHvWa0/CrddRn6WHW67jFp/NGU/NEEQUJ7rQmtUQ1NIxSmFWTgl34PSHCfy3ArGDPHCpUiQJAEOWUREi1e/5bhtGJ7vgVORUNUQQiCqQRYFyBI/KhNR57COtR8IqQaiWvwblXQ1LxCE+CaggaiOmMF9Bojo+Nx///3JP8+cORPl5eXYuHEjTjnlFMyYMSONkRH1fwsWLDhq8mzBggW9FwwNeL/73e/wxz/+EZdffnnKe8NZZ52Fn/70p2mMjNLBsizsbQzFGwX4nMnzDpuEYp8TNf5Iyn5okiQi93DXzqhqQLcsyIKAITlOSKIIR10QeS4bFEVGOKYjxx2fK0AAHEBTMIaDLRGMGuKDW+nZD1ZHW9pKRH0LE2v9QLIjqCxATuMXK267jEBUR5RV00R0HDRNww9/+EPcfffdGDZsGADg3HPPxbnnnpvmyIgGhoMHDx5zPPGzSdTTqqqqMG7cuDbn7XY7QqFQGiKidAqpBpqCKnJcSrvjX90PTTdM2G0SBuc4EdNNGKYFSRTgtEmob41BEgWYgoDCLDsaRRGhmAG3Pf4ZSjNMBGM6XIqEslx3jya5/BENextDaAqq0M34yp9cj4LyPDc7jBL1Qaxv7QcSibWcdG2wdpjr8Lc6UVasEdFxsNls+POf/9wt19qwYQNmzJiBkpISCIKANWvWHPM+b775JsaPHw+73Y6TTz4ZK1asaDNn2bJlGDp0KBwOByZOnIj33nuvW+IlygQHDhzo0jhRdxo2bBi2b9/e5vzatWsxYsSI3g+I0ko3TOimBaWD6gGbJKbshyZLImRRgGZYcCkyshw2uBQZgiDAbZfgtEmIRA24HTKG5DiR47JB1QwEYhrqAhHkemwYWeKF19Fz9SedXdpKRH0HE2v9QKIjqC9d60APcx5OrMW4xxoRHafLL7+8U0mwYwmFQhg7diyWLVvWqflVVVWYPn06Jk+ejO3bt+P222/HjTfeiFdeeSU557nnnkNlZSXuuecevP/++xg7diymTp2KQ4cOdTleIiJKVVlZiblz5+K5556DZVl477338Mtf/hILFizAnXfeme7wqJclEmVqB93RNMNM2Q/NrUjI9ShoDqtt5roUGbkeBTZFRGtEhyQKKMl2ItdjR1TVEdMseBQbPjsUxIf7W3okwfXVpa0OmwRREJJLW0MxHdVNIVhWevbNJqITw6Wg/UCmVKy5lfg/JzYvIKLjdcopp2DRokV45513MGHCBLjd7pTx2267rVPXmTZtGqZNm9bpx12+fDmGDRuGBx98EAAwYsQIvP3223jooYcwdepUAMCSJUtw00034frrr0/e56WXXsITTzyBn//8551+LKJMNXjw4C6NE3WnG2+8EU6nE3fddRfC4TCuueYalJSUYOnSpbjqqqvSHR71skSirNYfTdljLaEpFEO22wZNNxA8PL88z43WqI4afwQ5h/db0wwTzWEVpxd5UZbrwqHWGPwRDTHNwN7GEFpCGrJdCpyKhP2NEexviqAuEMPE4XndujTzeJe2ElHfwJ/WfiBRsZbtEIE0Vg5zKSgRnajHH38c2dnZ2LZtG7Zt25YyJghCpxNrx2vTpk2YMmVKyrmpU6fi9ttvBwCoqopt27albN4uiiKmTJmCTZs2dXjdWCyGWCyWvB0IBLo3cKJuVF5eDpfLhXA43GbM5XKhvLw8DVHRQDZr1izMmjUL4XAYwWAQBQUF6Q6J0kQQhA4TZQdawmiN6tBMC62RlpR9ykYN9rXZw6w424Gy3PgXd3sagjjQEsFHBwKI6ibK8pwoy/PA67RBM0y0RjV8UhNAlsOGc4fndtt+a8e7tJWI+gYm1vqBRMVatkOCmtbEWvyfE5eCEtHxqqqqSsvj1tbWorCwMOVcYWEhAoEAIpEImpubYRhGu3N27drV4XUXL16M++67r0diJupu+/btazepBgDhcBj79u1jco16TVVVFXRdxymnnAKXywWXywUA+Oyzz2Cz2TB06ND0Bki9zue0tUmUxTQDwZiOLIcNhVkOKLIIVTdR64+iNapj1GAfRg/2ddh1c8yQbBR6HdhTH8LJ+R6U5bqgGhYiqgFRAFyHmx28+0U9huY5UeRzdkty7cilrQ5b2218vrq0lYj6Bv7E9gNfJtYypHmByYo1IuoZXq8XX3zxRbrDOKYFCxbA7/cnj3379qU7JKIOlZaWwuv1tjvm9XpRWlrayxHRQPaDH/wAGzdubHP+3XffxQ9+8IPeD4gygs9pw+jBPpw1LBcTyrMxKMuOfI8dJ+V72t2nbG9jEK1RDf6wilBMh2nGO362hFUEYzoAwDAtxHQTXqcNB1oi+KI+iF21Aby9uwGvflyHj2tasfHzRjy3ZR82f9HULXuuHW0POABoDqvIy1LgVtK7dzYRHR9WrPUDXy4FlZDOrbTd9i8r1rjhJhH1hO5+bSkqKkJdXV3Kubq6Oni9XjidTkiSBEmS2p1TVFTU4XXtdjvsdnu3xkrUU/bt29fhcuVAIMCKNepVH3zwAc4///w2588991zMmzcvDRFRphAEAR67jCCAiGog193++6xNEvHO7iZs3N2AiGoiphswTAu5bgXFOS5kO2zI9ShQJAEx3cDBFh0mAJsowB/WUB+MwjABhyzCLomIqAbeq2pEa1Tr8p5rR1va2hxW4bbLKMt1d9vSUyLqHSdU4jR8+HA0Nja2Od/S0oLhw4d3OSg6PplWsWZYAqI6E2tElPkqKiqwfv36lHPr1q1DRUUFAEBRFEyYMCFljmmaWL9+fXIOUV/H5gWUSQRBQGtra5vzfr8fhsH9Rujo+5QFYzo+rQ1gx/4WNAZVOGwSVMNEfTCGqoYw6gJRmJaFPQ0hfFITQEtEQ0MwimynDcGohuaoCqcsoyDLgahuQhJFlOW54VIk7GkMYW9jsMtf8iWWthb5HAjFdDQEY/EuodkOjBrs69ZmCUTUO04oE7Nnz55239hisRgOHDjQ5aCo8yzLQkMwXkqc7q6gNkmETYp/u9Ic5YabRNT7gsEgtm/fju3btwOI79Wzfft2VFdXA4gv0bzuuuuS83/0ox/hiy++wJ133oldu3bh97//PVavXo358+cn51RWVuKPf/wjnnrqKXzyySe45ZZbEAqFkl1Cifq6v/71r10aJ+pOX/va17B48eKUzxqGYWDx4sW44IIL0hgZZYoj9yk7kgULX9QH8c/9zWiN6ohqJv5VF0B9MIaSbBfcDhnVDSHsONCCxmAMOw/4UeOPoimsoaohhKaQClgCJFFAIKpBAGC3xT9fZTlsgAkcaIkipB47wWtZVsrS068m445c2nrW0BycNSwXo0qYVCPqq45rKejf/va35J9feeUV+Hy+5G3DMLB+/XpuKNrLAhEd6uGuMT5H+tfiuxQZ/oiGlii/USSi3rd161ZMnjw5ebuyshIAMHv2bKxYsQI1NTXJJBsADBs2DC+99BLmz5+PpUuXYsiQIXjssccwderU5JyZM2eivr4eCxcuRG1tLc4880ysXbu2TUMDor6qvVUIxzNO1J1+/etf42tf+xpOO+00XHjhhQCAf/zjHwgEAnj99dfTHB1lgsQ+ZbX+KIp9zuT5hmAMOw60oDmkYXC2Cx6HjOaIBsMEDgVicNlF1AdVRFUDpxRnAQCiqgHLMlEV1mFYJgQAoiDCME04FAkxw8S+5jCGZLsAEYhp5jE7dvojWpuOpIlupUcmzhJLW4mo7zuun+TLL78cQPxFYPbs2SljiS49Dz74YLcFR8dWH4wCALwOGYqU/rX4LkU6nFhjxRoRdb9j7TkyadKkoy7RWLFiRbv3+eCDD4563Xnz5nFvH+q3Tj/99C6NE3WnkSNH4sMPP8QjjzyCf/7zn3A6nbjuuuswb9485Obmpjs8ygDt7VMmSwL2NIRQ3xpDtsuGfK8dgABJALxOGwJRDYGoCd2wIEk21AViUDUTHoeEkuws1PkjqG6MIKobyHIoKMp2wGOXEdVNNAVVhFUDuS4b7LniUTt2+iMadh7wIxTTkeNS2u1W+tWqNMuyOuxeSkR9w3El1kwzniwZNmwYtmzZgkGDBvVIUNR59a3xZaD5WZmxSXZinzUm1oioJ7AxClH3Kykp6dI4UXcrKSnBr371q3SHQRkssU9ZojKsNaahKaiiyGeHZQqQRRE4/CtDVDdgAWgMxpDttCGs6lBkEdkuBeGYAcsCTinMQkg1UB+MwqmIsEkiDrREYZdFKKKAA/4I/C4bzhmW22HHTsuysLcxFN8v7YhKukS30hp/BNVNIYwq8SUTZ52tbiOizHZCtadVVVXdHQedoPrDHUEHeTIjseZW4v+kuBSUiHrC3//+d26kTtTNdu7ceczxk08+uZeioYHoww8/xKhRoyCKIj788MOjzh0zZkwvRUXHku5Kq8Q+ZSHVQGMwBsu04I/a8UlNAP6wCrddQkwz0RRRIQJoDKsQYcFuk5DtsiGsGijOccC0gJawDtMCnDYZ1Y0hfFEfgk0Csp02qLoBRZKgm0BDUEUgqreb9AqpBpqCKnJcSrvx5rgUNLaqCKkGPHb5hKrbiCgznfBu9+vXr8e///u/48Ybb8QNN9yQclDvSXQEZcUaEfV1+/fvx+9//3v8/Oc/R2VlZcqRcMEFF8Buz4zXO6L+YsaMGRDF9n8lFEURM2bM6OWIaKA588wz0dDQkPzzuHHjcOaZZ7Y5xo0bd8KPcf/990MQBNx+++3Jc9FoFHPnzkVeXh48Hg+uvPJK1NXVpdyvuroa06dPh8vlQkFBAe644w7oup4y580338T48eNht9tx8sknt7vtwLJlyzB06FA4HA5MnDgR7733Xsp4Z2LJJP6Ihh0H/Nha1YSte5qxtaoJOw744Y9ovRpHYp8ymySiMaShOaRBMyx80RDE+9XNCGs6bIKI1sMNBARRQlg10BRSYbdJGJztQlmOC6JowR9REdMNQAAUCXArNmiGhUBUh9shY9ggNwzTQnVTqN0K+qN1KwXijd5004JumG2q2xw2CaIgJKvbQjG9w8chosxzQhVr9913HxYtWoSzzjoLxcXFXAOeRg0pFWtqeoNBvHkBwIo1Ijo+69evxze/+U0MHz4cu3btwqhRo7Bnzx5YloXx48enOzyifk0URRQXF7fb2b24uLjDpBtRd6mqqkJ+fn7yz91ty5Yt+O///u821W7z58/HSy+9hOeffx4+nw/z5s3DFVdcgXfeeQdAvDnb9OnTUVRUhI0bN6KmpgbXXXcdbDZbcqlqVVUVpk+fjh/96EdYuXIl1q9fjxtvvBHFxcXJRjjPPfccKisrsXz5ckycOBEPP/wwpk6dik8//RQFBQWdiiWTZFqllT+i4Yv6IDTDhCQKGD3YF0+u1QdhmIBTkeBW4lVqPoeCYFSDYVoY7HPApciwYMG0AJskQbBMZCk2eB0SZJsMhyxAEUWIsBDVDeS6U6vOjnRkt1KHre1yUc0wIYsCZEk87uo2IspsJ/RTunz5cqxYsQLXXnttd8dDxym1Yi0DEmt2VqwR0fFbsGABfvrTn+K+++5DVlYW/vznP6OgoACzZs3CJZdcku7wiPq1vXv3tptUA4ADBw5g79697PpOPaq8vBwAoGka7rvvPtx9990YNmxYt1w7GAxi1qxZ+OMf/4j//M//TJ73+/14/PHHsWrVKnz9618HADz55JMYMWIENm/ejHPPPRevvvoqPv74Y7z22msoLCzEmWeeiV/84hf42c9+hnvvvReKomD58uUYNmxYsoHbiBEj8Pbbb+Ohhx5KJtaWLFmCm266Cddffz2A+Gepl156CU888QR+/vOfdyqWTHEi+4j1Rjxh1cDoIdn4vD6IlnB8L7VzhuehMRiDLADluS7k+xw4FIjhQHMYqmHCgoX61igOtUbRFFIhi0BIteBySMjNijc/iOomNAuIxkxohzuCtsaM+FLTryx97ahbaUJzWEVxtgPuw83eOlvdRkSZ74S+glRVFeedd153x0IngEtBiag/+OSTT3DdddcBAGRZRiQSgcfjwaJFi/DrX/86zdER9W/HWmrEpUjUW2w2G/785z936zXnzp2L6dOnY8qUKSnnt23bBk3TUs6ffvrpKCsrw6ZNmwAAmzZtwujRo1FYWJicM3XqVAQCAXz00UfJOV+99tSpU5PXUFUV27ZtS5kjiiKmTJmSnNOZWL4qFoshEAikHL3heCqtejsej13GSfke+JwKopoB04xXjmkmoFtAa9SALIrwuRQ0tKp4+cMavPHpIfyrNoA9h4JoDGpw2iTYBAG6aUEUBNglAS3hGFpjKvzR+PLXqvogPjzgb7P0NdGt1G2XUeOPIKoZMEwLUc1AjT8Ct11GWa4bgiCkVLe158jqNiLKfCf0k3rjjTdi1apV3R0LHSdN07DvUAsAIFC3H7t27YJlpncJ5pHNC/iLOBF1ltvthqrGq26Li4vx+eefJ8cS++4QEVH/d/nll2PNmjXdcq1nn30W77//PhYvXtxmrLa2FoqiIDs7O+V8YWEhamtrk3OOTKolxhNjR5sTCAQQiUTQ0NAAwzDanXPkNY4Vy1ctXrwYPp8veZSWlh7lb6L7HM8+YumIx2OXcUqhB0PzPRjkccBhkyBLArxOG3JcChw2CXUtERwKRBBWdciiCJsswhIFCLAgwILLLqM1qqMprKIhqELVgeawhhp/FLWBCAZ57chzxyvTdn4luZboVlrkcyAU09EQjMWr+7IdKUtkE9VtzeH2Vxw1h1XkZSkddiAlosxyQktBo9Eo/vCHP+C1117DmDFjYLOlrqFfsmRJtwRHR7dz507sb4kAkLHxszrUfbgF+cNGonfeVtuXqFjTTKA1psPrYCcbIjq2c889F2+//TZGjBiBSy+9FD/5yU+wY8cO/OUvf8moJTBE/dGxlmtxL13qTaeccgoWLVqEd955BxMmTIDb7U4Zv+222zp1nX379uHHP/4x1q1bB4fD0ROhptWCBQtSmvsEAoFeSa4dzz5ivaG9eFw2GQVZCnYc8EM3LOQ6FThtEqKagbpABAdaopAkESOKvfA6FDSGYmiNGBCcNgQjGiQhXu0WiOkQBAGGYcKygCyHBAECoqoBw0SHS1+P7FbaUcfURHVba1RHjT+CHJcCmyRCM0w0h9WU6jYiynwnlFj78MMPceaZZwJo26KdP/y9x7QsaIi/gQw76VRoh75Ic0SH39wEC7oloL41xsQaEXXKkiVLEAwGAcQb5ASDQTz33HM45ZRT+GUNUQ8bMmRIl8aJutPjjz+O7OxsbNu2Ddu2bUsZEwSh04m1bdu24dChQykNcAzDwIYNG/DII4/glVdegaqqaGlpSakUq6urQ1FREQCgqKioTffORKfOI+d8tXtnXV0dvF4vnE4nJEmCJEntzjnyGseK5avsdntaumQfzz5i6YpHEARkuxQYhoXWqIbsHBtkScDexjD2NUdgASjLdSGmxyvdin1ONIZURFUDMdNEa2sERV4HnDYJEd1Ea0yH0y4jz+PAKYVZ0A0LtYEITsr3dNhkINGt9GgS1W17G0NoCqrQTQuyKKA424GyXHevNoAgoq45ocTaG2+80d1x0AlojZmwEE9kOjOoTNghAUEdaGiN4aR8T7rDIaI+YPjw4ck/u91uLF++PI3REA0sL7300jHHv/Wtb/VSNDTQdVdX0Isuugg7duxIOXf99dfj9NNPx89+9jOUlpbCZrNh/fr1uPLKKwEAn376Kaqrq1FRUQEAqKiowC9/+UscOnQo2b1z3bp18Hq9GDlyZHLOyy+/nPI469atS15DURRMmDAB69evx+WXXw4AME0T69evx7x58wAAEyZMOGYsmUIQBJTnunCoNYbdh1qR61HgddigG1ZaKq06qvyCBSiSiEKvAy67DYdaY2gOqsh12xCMavA6ZEQNEwYAhyyiIMuBzw+1IsdhQ5MJBGMG3HYZdlkCTAtuu4TWqIY9DSE4bCI000RJthN2SYJuWtB0A0Ggwwq1jnSmuo2IMh979/ZhiQYBTpsEScycF1+HZCGoC6gPxtIdChH1IS0tLfjTn/6Ezz//HHfccQdyc3Px/vvvo7CwEIMHD053eET91rRp0/DQQw8ddZyoN2zevBkvvPACVFXFRRdd1KWu0FlZWRg1alTKObfbjby8vOT5OXPmoLKyErm5ufB6vbj11ltRUVGR3ILg4osvxsiRI3HttdfigQceQG1tLe666y7MnTs3WS32ox/9CI888gjuvPNO3HDDDXj99dexevXqlIR1ZWUlZs+ejbPOOgvnnHMOHn74YYRCoWSXUJ/Pd8xYMoU/omFvUxgx1UBjUMW+pjCc9nhH0PI8V1oqrdqr/FINA/lZdpRkO5HlsCGmxfehdkgi6gMqwqoBC4CmGZAgwGOXAEGAUxFRZJOQ41TgcUio8UehmTJcig1Nofi1TcuCLIUxOMeFwT4nYpqBf9UFEVGNZNVZrkdBeV7n/i46U91GRJnthH6CJ0+efNQs+uuvv37CAVHnJRJrrgyqVgMA++FwGlqZWCOizvnwww8xZcoU+Hw+7NmzBzfddBNyc3Pxl7/8BdXV1Xj66afTHSJRv/XCCy8cczxRRUPUU/70pz9h5syZcDqdsNlsWLJkCX7961/jpz/9aY895kMPPQRRFHHllVciFoth6tSp+P3vf58clyQJL774Im655RZUVFTA7XZj9uzZWLRoUXLOsGHD8NJLL2H+/PlYunQphgwZgsceewxTp05Nzpk5cybq6+uxcOFC1NbW4swzz8TatWtTGhocK5ZM4I9o2HnAj1BMR4HXgcE5TgQiOhpDMThkCaU5rrQtXzyy8qspFMPBlihq/RHsqm1FvscOuyJChACnIsHjkPBpbRB5HgWHgjGIggrLii8L1Yx4dZosAi0RDQ5FhBc2RGIGHIqILIcNlgXUtUaxY38LwlEdJizIkoBctx2KLELVTdT6o2iN6ikNC4io/zqhxFpif7UETdOwfft27Ny5E7Nnz+6OuKgTmqPxb14yLbHmkOLdQFmxRkSdVVlZiR/84Ad44IEHkJWVlTx/6aWX4pprrkljZET9X3Nzc5fGibrD4sWLcdNNN2HZsmWQJAmLFy/Gr371q25NrL355psptx0OB5YtW4Zly5Z1eJ/y8vI2Sz2/atKkSfjggw+OOmfevHnJpZ/t6Uws6WRZFvY2huIdLo/YWy3HrSDHraDGH8G+5jB8TlvaljEKggDDtLCvKYJgVEOxzwlNt9AUVmFTBQQjOppDMcQ0EwIsRGImsuwmDEHAnsYQmsMaclw2ZLsUBDUD/rAGr8sGuyRBdMSbFliWBVU3UZRlx8HmCABgdIkPJdmuZBwOm9RhYwMi6p9OKLHW0XKBe++9N7n5NPU8f7JiLbNKh+2HmwA1tLbfPpqI6Ku2bNmC//7v/25zfvDgwaitrU1DREQDx3XXXYdnnnnmqONEPe3TTz/Fc889B0mKf2H8k5/8BAsXLkzZ34zSJ6QaaAqqyHEp7Y53tIl/b0ok/+pbYzAtC4GwBtW0EFF1RFQBYc3AoUAUumFgWL4bTSENVY0RhFQNNlGAW5HhUWwoy3WhMRhDfUBFXUsEOYcr0bxOGwIRHbIkIsdug2ITYVkWcjyZ83diWVan9mvr7Dwi6pxu7YP8/e9/H0888USn52/YsAEzZsxASUkJBEHAmjVrUsYty8LChQtRXFwMp9OJKVOm4LPPPkuZ09TUhFmzZsHr9SI7Oxtz5swZMMm9ZMWanRVrRNS32e12BAKBNuf/9a9/IT8/Pw0REQ0cX+16eLzjRN0hHA7D6/UmbyuKAofDMWB+r890umFCN+PLJdtjk0TopgXdMHs5si+FVAPVTWE0BmM42BKBCQu5bgXD8z3wuWzwKBIsy0S+14FclwMnDXKhyKtgkNuOkmwXThrkQrZbQUg1kOdxwKUIMCygKaiiNaajKMuO04uyMKE8GyfnuzHY64QkCpA6SEj19t+JP6JhxwE/tlY1YeueZmytasKOA374I9oJzSOizuvW1PmmTZvgcDg6PT8UCmHs2LG44YYbcMUVV7QZf+CBB/Db3/4WTz31FIYNG4a7774bU6dOxccff5x8nFmzZqGmpgbr1q2Dpmm4/vrrcfPNN2PVqlXd9rwyVWKPNXemVawl9lhjYo2IOumb3/wmFi1ahNWrVwOIL+eorq7Gz372M+7tRNTDDh061KVxou7y2GOPweP5sqO8rutYsWIFBg0alDx32223pSO0AU+WRMiiAFU34bC1/VJfM0zIogBZ6ta6jeOi6Qb21AdRE4hCEoT43meCCKddQr7Hjn1NIUQ0C2eUeKHIEppCKhpCGmRJQq0/Ct0uIctugyIJCKsaLEtAKKpjkNcOhyTBoUjIcSuw2yS0hFV4nDIMWDAsq/14jvF30p1VY0fuf5fjUjrc662z84jo+JxQRuarSTDLslBTU4OtW7fi7rvv7vR1pk2b1mGnKcuy8PDDD+Ouu+5Ktnh/+umnUVhYiDVr1uCqq67CJ598grVr12LLli0466yzAAC/+93vcOmll+I3v/kNSkpKTuTp9RmZ2rzAcTicejYvIKJOevDBB/Gd73wHBQUFiEQi+Ld/+zfU1taioqICv/zlL9MdHlG/Nnbs2C6NE3WHsrIy/PGPf0w5V1RUhP/5n/9J3hYEgYm1NHErEnI9Cmr90ZQ91hKawyqKsx1wp/FzyZ7GEN7f1wzDsGCXJYRVA7ppQhZFuOwSNN2AYVqIaSZkUUJDq4qoZsDtkOG2SzAsIGoYiOkmBEFAsc+BiG5AtADNNLG7vhV7G8NwKjJ8ThsMjw2DPA5EVQNwtY3naH8n/oiW0sX0eDuJHqmj/e++utfbGcXeTs3jnnBEx++EEms+ny/ltiiKOO2007Bo0SJcfPHF3RJYVVUVamtrMWXKlJTHnThxIjZt2oSrrroKmzZtQnZ2djKpBgBTpkyBKIp499138e1vf7tbYslULRnevKAhGINlWXxhJqJj8vl8WLduHd555x3885//RDAYxPjx41PeA4ioZxzrfZrv49Qb9uzZk+4Q6CgEQUB5nhutUR01/ghyXApskgjNMNEcVuG2yyjLdaft9aIlrOLdLxoRiZmwyyKawipCMR1AfElmRDUQ0XT4nDKaQiqimgnNNJHlsEGAAJsoojWmo8TnhD+qwTQs2GQREoCGiIZgcwQeRYLPZcOwQW54nTIAAW57vMqsvb8TlyIhz22HP6KlVKR1d9VYZ/e/q89SM36fPKK+6oR+Yp588snujqONxGbVR7ahTtxOjNXW1rbZzFSWZeTm5h51s+tYLIZY7Mtqqvb29ekLWjK1ecHhPJ9mWPBHNGR38OJNRATEO0s7nU5s374d559/Ps4///x0h0Q0oNTU1BxzfPjw4b0UDdGXotHocW0zQz3L57Rh1GBfm0qr4mwHynKPv9Kqu1iWhV21ATSHdZRkO7C7PoRgNP4ZRJYEhGIGWmMazMN7xIViOppCKnLcCnTDhD+iQTNNWBbgUWSEgjoaWmNQDQNuuw35kgCPTYR8eM+0xlAMY4dk4/RiH1qjGrKcMlw2Cc0hLfl3kuWwwYKFf9W2plak5bqwtyncrVVjnd3/LqoZGb9PHlFf1aWMzLZt2/DJJ58AAM444wyMGzeuW4LqaYsXL8Z9992X7jC6RDdMBGKZuRRUEgC3TUBIs9AQjDGxRkRHZbPZUFZWBsMw0h0K0YB0rK0z+vvWGpRZDMPAr371Kyxfvhx1dXX417/+heHDh+Puu+/G0KFDMWfOnHSHOKD5nDaMHuzLqI6SIdVAQ6sKr11CU1CAbpgY5LZDtyyougVBsOBQJERVAzZRPLzXmA7DBGRRhCAIkEQBRT47YrqO5lAMzWEVPpcCj11GRBUwOMcFRZLQEtEQ03VIIuC2S5BFAaGYHk+EFcQfO6wa+KI+iLBqtKlIO9QaQ0w1UOBtP2F8IlVjnd3/zmGTMn6fPKK+6oR+ag4dOoSvf/3rOPvss3Hbbbfhtttuw4QJE3DRRRehvr6+WwIrKioCANTV1aWcr6urS44VFRW12VBX13U0NTUl57RnwYIF8Pv9yWPfvn3dEnNvagqpiC+4tODMsMQaAGQf3mjtEPdZI6JO+I//+A/8+7//O5qamtIdCtGAM3ToUAwZMqTdsdLSUgwdOrR3A6IB7Ze//CVWrFiBBx54AIry5Zezo0aNwmOPPZbGyChBEAR47DKyDyee0r1cPFFhJUoiLNOCxy7DJgtwKhIkwQIsAcGIFq/Isiw0hlTkuGzIc9uQ47LB57BhiM+BshwXIAD+iA4LAnJcCnwuG7KcNjgVGTZJRJZdgk2U0BLWEdGMZJWXcfhxfU4b6lujaAqp8NhlmLAgCF9WpLVGNNQEorBJ3ddJNLH/XXNYbXe8OawiL0tBvkfp1Lx07pNH1FedUGLt1ltvRWtrKz766CM0NTWhqakJO3fuRCAQ6LYNRYcNG4aioiKsX78+eS4QCODdd99FRUUFAKCiogItLS3Ytm1bcs7rr78O0zQxceLEDq9tt9vh9XpTjr6m/nDHTbsIiBm490m2I/5PqyHY/gs3EdGRHnnkEWzYsAElJSU47bTTMH78+JSDiHqOZVkdJrUbGxthddDxjqgnPP300/jDH/6AWbNmQZK+/IA/duxY7Nq1K42RUaZKVM3ZJRE6LOR57JBEEa1RHWHNhCgATkVCeZ4bbkVCRNWxvyWCNz+tx4Z/NeCjgy2obonAH9FR7HOgKNuBIT47Ti3yoDDLAYcswjDjr4Mxw0wWNRiG1abKq8Yfxft7m1HbEsXHNQF8ciCA3YeCCB7e7y3XoyAc0xGI6O0+lxOpGkvsf+e2y6jxRxDV4k0aopqBGn8kuf+dKIqdmpfuRClRX3RCS0HXrl2L1157DSNGjEieGzlyJJYtW3ZczQuCwSB2796dvF1VVYXt27cjNzcXZWVluP322/Gf//mfOOWUUzBs2DDcfffdKCkpweWXXw4AGDFiBC655BLcdNNNWL58OTRNw7x583DVVVf1+2ULiY6bjgz9QiGZWGPFGhF1QuJ1nYh63+bNmxEOh9sdC4fD2Lx5M84777xejooGqgMHDuDkk09uc940TWialoaIKNO5FQl5WXbUtUaRZZfRoKnQDAMuRYJdssEf1VDgtmOQW0FdaxSqbkA14s0NDNOE22FDWDXw6aFWHPTLcMoibC4JwagOn8MGh01ES0SHLAmQBTF+XVmEJAkpnT/9EQ079vvREFQxOMcJuyxBM0w0BmMIqwZOyvfA67DBaZfQGIohx912u5wT7a7a2f3vMnWfPKK+7oQSa6ZpwmZr+0Nns9lgmp0vW926dSsmT56cvF1ZWQkAmD17NlasWIE777wToVAIN998M1paWnDBBRdg7dq1KZuYrly5EvPmzcNFF10EURRx5ZVX4re//e2JPK0+5cvEWmZ+i5xYCpqorCMiOpp77rkn3SEQDVhfbQR1vONE3WnkyJH4xz/+gfLy8pTzf/rTn/rMfs7UeyzLQkg1kO1SkOe2Y1CWHcGYgUOBeNfPCES4FBGyJGD7gRaomgnDNBHRTPicMnI9dlgQYJoWwqqGmAbkZ7lglyVIh/cjk0QxvszLBOx2EYoswOuS0RJS4XHYUJbrBgDsbQwhphvI99ghCgJEQYBdlmD3SGgIRlEbiGBwthPFPiccstTt3VU7u/9dJu6TR9TXnVBi7etf/zp+/OMf43//93+TlWEHDhzA/PnzcdFFF3X6OpMmTTrq8gJBELBo0SIsWrSowzm5ublYtWpV54PvJxJLLO2sWCMiIqIu2Llz5zHH26sgIuoJCxcuxOzZs3HgwAGYpom//OUv+PTTT/H000/jxRdfTHd4lEH8ES2l8ipmmMjz2NHQGoMFQBIEWLDQHFFRGzDhdcrIz7KjoTWKmGagVRQhQIPbHt8/Lc/tgGaaEBHfQ04S4wm5Ap8dJT4nDvojCMZ05HkUZDkUlOQ4k1VewZiOpqCKIq8DhmmhvlVFftaXH9SyHDb4QxokQcCwfDdKc1yobgp3e9VYYv+77ppHRJ1zQj9NjzzyCL75zW9i6NChKC0tBQDs27cPo0aNwjPPPNOtAVL7WLFGRP2JYRh46KGHsHr1alRXV0NVU/dnZFMDop4zY8YM/Pa3v2131YEoipgxY0YaoqKB6lvf+hZeeOEFLFq0CG63GwsXLsT48ePxwgsv4Bvf+Ea6w6MM4Y9o2HnAj1BMT+m8qesm7DYRgzwKnDYJoZiG+qAFp01GQZYdUd1EzDAgCAJM00REAzx2GQ6bGB/TDYRVHSNKvBic48L+5hAOBVWYhoXBOQ6cWpiFUwq9yHUrKVVemm6gNaol90gTBBP1rVF4nTbYxPgebfXBWEryzOe0sWqMqJ84ocRaaWkp3n//fbz22mvJTURHjBiBKVOmdGtw1LGGRPOCTK9YY2KNiDrhvvvuw2OPPYaf/OQnuOuuu/Af//Ef2LNnD9asWYOFCxemOzyifk0QBMiy3CahDQCynP6OfzTwXHjhhVi3bl26w6AMZVkW9jaGEIrpKPY5k+ftNhEh1UBLSIdLkaEZFjRTgEuxodBrR8ywEIyqCER1GAagyCIimoGmsAa7TYLDJiGiGQjEdGQ5ZJxR4kWWQ4a3OQLdtOB1yBjkscPntKVUe/kjGj6obsGmzxuhGiZkSYAiifDYZRgWYJMEGKaFfI8do4dkJyvSWDVG1H8cV1fQ119/HSNHjkQgEIAgCPjGN76BW2+9FbfeeivOPvtsnHHGGfjHP/7RU7HSETK9Yi3ncGKtnktBiagTVq5ciT/+8Y/4yU9+AlmWcfXVV+Oxxx7DwoULsXnz5nSHR9Svbd68ud2kGgCoqsqfQSLKKCHVQFNQRY4rdfP/hmAMn9YGYJNFuOw2ZLtkGIeXiLZENJimiaZwDKpmQZLiFWuWaSGkamgOx5sZ2EQBlmnCYZNQ1RBCa1RHeZ4bI4q9yM9yoC4Qw84Dfvgj8UYa/oiGd79oxIf7WyCKAhw2EXkeOywLaAppMA0T5bluFPscGD80G8U+R3tPiXqBZVkIxnS0hFUEYzo7XlO3Oq4U+cMPP4ybbroJXq+3zZjP58MPf/hDLFmyBBdeeGG3BUjtSyyxdBxXarT3+A4vBW0MqjBNC6LIb7uJqGO1tbUYPXo0AMDj8cDv9wMALrvsMtx9993pDI2o3ysuLu7SOFFX5eTkdLoyklsDkG6Y0E0LivzlByHLsnCwOYKIZqA424nmkAqfw47GkArVMBCIqjAMwDABRRYQVU0ETQOwAIdNhG6YcCoy8lwKSvM9sEkCwqqRUhHnsEko9jlR44+guimEM4q92NMQxJ6GENx2GflZDuxviSCiGvC5FASjGmpbI7DJAkaW+FCe52EFcJp8dT8+WRSQ61FQnsdOqNQ9jiux9s9//hO//vWvOxy/+OKL8Zvf/KbLQdGxJZZYZmrFms8ef6PTTQstEQ257bSTJiJKGDJkCGpqalBWVoaTTjoJr776KsaPH48tW7bAbrenOzyifq2srAyiKHa4x1pZWVkaoqKB5OGHH053CNSHyJII+XDHToct/mV+RDMQVA3Ikoj9TWGEYwYAC3ZZhCyJkAQRdeEIJAAeuw2mpcFQBRiwENMtiIIJm2Qiyynj1KIsmJaAQYc/v1iWhYhmwDAtiAJgl0TsbQjDrcg40BIBLCDLaYNdljAk24mGYAyhqA4TFlTNggULw/M9TOCkSUf78dX6o2iN6hg12Mf/N9Rlx5VYq6urg83W8T86WZZRX1/f5aDo6FTdREs4Xn6cqXus2SQB2S4bWsIaGoIxJtaI6Ki+/e1vY/369Zg4cSJuvfVWfP/738fjjz+O6upqzJ8/P93hEfVr7733XrtJNQAwTRPvvfceKioqejkqGkhmz56d7hCoD3ErEnI9Cmr9URR5HYhoBvxhDcGIjqiqo9avoizPAY/DBgEimkM6DgZDaAlrKPA6IMJCRBOgOG2QRAGiKMAuiSjIsqPYa4dbkSAJ8T3YWqPxSqfmkIaoFm9sYAEQISAU01B3eNubPCn+JaBLkVGaKyGmG9AMC4GwisIsJ1xKhn5o6+c62o/vq9WHo0p8rCakLjmuxNrgwYOP2nL9ww8/5HKBXtAYir+ASwKgZOhSUAAY5LGjJayhvjWGUwuz0h0OEWWw+++/P/nnmTNnory8HBs3bsQpp5zCjoREPezss8/u0jhRT4lGo232/2tvSxoaWARBQHmeGzUtEWz47BB0w4JhWvikNoCoasBll+CP6vGqNRGQZSCsGjBNK7nnmk2SIEkCXDYJkijANCxoloXCbBfsigTDAvY3hbHzgB9NYRUCAH9UBywLLkWGUxFhk0WEYzpaIlq8WYHDBkkE7LIEhyxDgAGbLMFukyBLGfyhrR/raD++hByXgsZWFSHVYCMJ6pLj+gm/9NJLcffddyMajbYZi0QiuOeee3DZZZd1W3DUvkRDgGyHiExOrOd74t/csDMoER2vc889F5WVlW2SatOnT0dNTU2aoiLqn7Zs2dKlcaLuFAqFMG/ePBQUFMDtdiMnJyfloL6pKxvHt3ffQFTD3qYw9jVFsL85jP3NYbRGNOimBUAALMASBGiGhXDMhADALglQDie+8rPsKPAosMsSLMtCa1QDLKA02wWv3QZRsPD25w2ob41hkEeBYZpQdQMCgGBMgwkAFjA4x4lDgSi27W1CVX0QVYdC2NcURljVEYjoEAVgcI4DblaspUV7+/EdySaJ0E0LutF+1TZRZx1XWvauu+7CX/7yF5x66qmYN28eTjvtNADArl27sGzZMhiGgf/4j//okUDpS18m1jL7BXpQVjyxxs6gRNRdNmzYgEgkku4wiPqViRMnwuVyIRwOtxlzuVyYOHFiGqKigerOO+/EG2+8gUcffRTXXnstli1bhgMHDuC///u/U6qbqe/oysbx7d1XkUXsPOhHc0jDuNJsGBbQHFYR0034IxpaIxqG5jmh2CTU+mOwYKHY60AgZsCygKhuHN53TYBhWlB1Cw67DLskoSEYQ47LBlUHIqoBuyyipiWGg/4IBAgIQocIAQVZduxtDEO3TDgVCS0hDSFVQ5bdhgMtYXzREEK+x46zh+Z02LTAsiyEVAO6YUKWRLgVicsRu1l7+/EdSTNMyKLAikLqsuNKrBUWFmLjxo245ZZbsGDBguQ3DYIgYOrUqVi2bBkKCwt7JFD6UqICLDtTW4IelqhYq2fFGhERUUb76nK7Y50n6ikvvPACnn76aUyaNAnXX389LrzwQpx88skoLy/HypUrMWvWrHSHSMehKxvHt3ffmG7g3S8a8Xl9CGOHZMNui3+cFQWgIMuJ1qgGRRZQ3RyBblrQDBM+pw2GAMiaARMCfA4Z9SEVdlmAz6HAbZdhl0V4nDI+3N+CPLcCCAIKs+yoD8bQFFahGRY8dhE2mwxdN/HFoRCqxBDyPHbkuhwwLUDVLOwNhhHVTZiWhWynDV7Hl8/tyERaWDVQ3xpFc0hjl8oedOR+fEfusZbQHFZRnM2KQuq6415IXF5ejpdffhnNzc3YvXs3LMvCKaecwtLsXpRSsZbBVauDsuJr2Rta+Us5ERFRpnrnnXeg63q7Y7qu45133sGFF17Yy1HRQNXU1IThw4cDiO+n1tTUBAC44IILcMstt6QzNDpOXdk4vqP7WgAkIV5cEIioySSUZQGCYEHTLVgwIYgisuwyXIqEmGaiNqgiplmIaQZMhwSHLEISAAHxJgVZDhmWZaE+qOLD/S0QBKC+VYXHIePUwiwcaI5AsYmQRBFNwRiaIiqcsoQRRQpESYIjGu8+Wp7nQq7bDrssQjNM1Adj2HnAj7I8F5pDKpqCKlqiGg40R2CTBJxakIX8LHtGdansT5V0if34WqM6avwR5LgU2KT4/5vmsAq3XUZZrrvPPj/KHCe8Q19OTg43s02ThmA8UZXtEIG2qzYyBivWiIiIMt+//vWvY44zsUa9Zfjw4aiqqkJZWRlOP/10rF69Gueccw5eeOEFZGdnpzs8Og5d2Ti+o/sahgVLsOB1yKhvjUGWRERUAzHNQChmwB/VENYMlOW4IYkCWmMGwjEDg7Ic0A0Dh/wxqLoZb1hgAbIoIMtpAywLqh5f1tkY1mCZJvb7I7AHZYweYoPPZUNr9P+z9+dRkl31mS787DPHnHNmzSqVhJBAMliAVLjbprGMwHjAsHrBvdeN8IAvXGQvqL5tIy+MGdqW293N4LZs9eoWg9vNZbjXpldbNraRDf5sF8YIq0ESEmioOefMGM+89/7+OJFRmVVZk2rIzNJ+tFKVEefEyR0RmZF53nh/75sRpZI4l/i2jWULXMcmyiSlwCZNNbXAZbJeONiaUcpY1Weuk/DsQpfxqs9wxWOhlxRKoLY4thzhuzZV39kULZUXM7a7WWmUXF68o3Ha/do2FLB7ZOveL8PmwlRfbEFWlxc0N7GwtpKxtmAy1gwGg8Fg2LS89a1v5b/9t/921u0Gw5XiZ37mZ/hf/+t/8UM/9EO8973v5cd//Mf53d/9XbIs4yMf+chGL89wAVxMcPyZbmvbAktDlEmOLoVMt2MEgpGKRzWwqQYOnTijHadorbCFzXDFo1ZySTKrGPZREiWKjLVbdjTopRmHlyIWOwlCCJTWNHyHsuMQZZLHp9vcMFHkpC10Y3KpqJZcLGChl1ALPBwFtZpNN85JcokQAkcILEsQZTmz7YTrJ2pooBvljFZ9fMdmvpMw04rYN14cfyNbKi9mbHez0yi53LyjcdU48QybDyOsbUFWhLXhwKa5sUs5K8axZjAYDAbD5uf48ePn3H7NNddcmcUYnve85z3vGXx+xx138MQTT/Dwww9z3XXXccstt2zgygwXysUEx5/ptlJpWklON84R/WOMV32iNGepl9CJcuqBS64U7TgnsDWeI+ilOWXPIXAsplsp7SjGcyziVDLXiUmlxhKCWuAw301Jc02SS+ollyiVzHRibCGIM0U9sJmoeoSpwrNtpuo+M62YwLHopjlSQ5RkA5NBlEhKro1URT55rjVu/z7XSw6tMCPKJGXP2bCWyosZ290qCCGuuFhpeP6wudPvDeuyUl7Q2OzlBf1fJku9dPCLxGAwGE4lyzJ+9md/lmefffac+/7qr/4qIyMjZ93nvvvu45prriEIAm677Ta+/vWvn3HfV73qVQghTvt4/etfP9jnbW9722nbX/va157/HTQYNjlKnf0E7lzbDYZLwcGDB/mTP/mTNdetlBi84x3v4Hd/93dJEvNm7VZiJTh+OVw/b3k5TBmteacFx2ut0bpwq023IjR6cP1sK6biOVQDF9+1Gat4SA1JrjjejAHNtWMVKp6DkkV5QTPM8GyLLJccXgzpRhlQvLYdaYbMdxKSTFH1bZJc0oky5toRrTBjoZuQK81yL0UhmKoXY5FDFZ/v29Xg+okKcSZJsiKzK0kVzV5CyXOYqpdQShPnisC1sK3CwZZLTStKibMcxxLkWg/OlVaLjVpruklOM0zpJvmgOPBycCFjuwaD4XQ2tzJjWJfVjrXNzEjFQ4jinaWlnikwMBgM6+O6Lv/f//f/nde+99xzz1kzdj73uc9x4MABfv3Xf51vfvObfN/3fR933nknc3Nz6+7/R3/0R0xPTw8+Hn30UWzb5l/+y3+5Zr/Xvva1a/b7f/6f/+e875/BsNmZnp6+qO0Gw6XgQx/6EI899tjg8re//W1+7ud+jjvuuIN77rmH//k//yf33nvvBq7QcKGsBMdXfIfpVkScSaTSxJlkuhWtGxzfijK+fbzFw4eWWegmHFuK+NrTiyx0E3pJzlwnwRKwczhgsh4MXGi2JdgxUmLnUInFXkYmddH0GTjYtoVUkrlOQjvOqZZcpuo+jrCwNASeTZrnHF8KWe5lZP3WzijLWewm9OKMkarHjZNVaoHLk7NdDi92CTNJN5Us9hJm2hHfOtpiph3TTTOGSg4V38a2BVEmqXgOUmmOL4csdmO+M93h2fkehxa7dOOcKJWEfdfdaM1DSsW3j7f4xrNLfOPQMt94dolvH2/R6ouCl5qLGds1GAxmFHTLEWeSTlI0dw1tcseaa1uMVjwWuilznXjgYDMYDIZTecMb3sAXv/jFNSNAz4WPfOQjvP3tb+dnfuZnALj//vt58MEH+cQnPsF73/ve0/Y/1f322c9+lnK5fJqw5vs+U1NTF7U2g2GzMjk5eVHbDYZLwSOPPMKHP/zhweXPfvaz3HbbbfyX//JfANi5cye//uu/zgc+8IENWqHhuXAhwfGnZnwNVzzqgct35zo8Pt1mqOwSJjljdZ8sV9hWTK41uVJINCNll9l+HliuFFpAkhVFBceWY+KsGMlUClphRi/NSaVGSUmUFw2hNReUBmFp4lSCFkzUA7Jcc6wZoRHsHi6RZJJnF7q0wry/FoFjCzSKmVZCJ15ivpMyVHaZqPlIrXlmoUeU5mwfKmPbMcu9lJm5iLLroJRCC8FEzWfXaJlHT7SvaNbZxYztGgwGI6xtOVbcap5jUXY3/3z7RC3oC2sJL9roxRgMhk3L9ddfz4c+9CH+7u/+jltvvZVKpbJm+y/90i+d8xhpmvLwww9zzz33DK6zLIs77riDgwcPntc6HnjgAd7ylrec9vW/8pWvMDExwfDwMK9+9av5t//23zI6OnrG4yRJsmZkqd1un9fXNxg2gm9/+9vn3H7dddddodUYnq8sLy+vEXG/+tWv8rrXvW5w+eUvfzlHjx7diKUZLpJzBcevjDw+erzJYjflmtGTLrbRqs/tFY9Diz0qvo1vW7SiDKk0Fc/laDMkzSSzrZgTAqSmaPwEqp6DRhNlmnZUlAo4lmAxSwmcotEzlQmpBE3xEWcSqTVaQa40tijGUgNbMFbz2T1coRdnfOv4Mk/N9xAIlNIIASXX7jvlbHpJzhMzbV68o8Gte4b4xuFljiyGbB8q4zmCuu/wbP/2lhBEqeTaySqBY/PwoWVqgcu+8ergMbzcWWcrY7szrXhNxtoKy2HKtqHgtLFdg8FQYIS1LcZKEcB41d8SwZGTdZ/Hp2GuHW/0UgwGwybmgQceYGhoiIcffpiHH354zTYhxHkJawsLC0gpT3PXTE5O8sQTT5zz9l//+td59NFHeeCBB9Zc/9rXvpY3vvGN7N27l6effppf/dVf5XWvex0HDx7Ettf/A/Pee+/lgx/84Dm/psGwGbj55psvarvBcCmYnJzk2WefZdeuXaRpyje/+c01r6OdTgfX3ZqNhIYzB8e3oozDiz2ONyOeONGm7Bcjk1ON0mB/IQTbGiU6UUomFQvdIpttphMz306QSpMpzWK3aAi1LIvRqsdo1cexLA4v9XBsSJUgyRSuK6j6Pt04JUw0yarpxlyCbWnQIBW4rkUvyUmkYrwa4DsWR8OUXqyKwgHH7gt5mm2NMr0sI84VLxiv4tiCeuAw00roRjm51Hx3tg0a4lwxVnW5dnyETCriTLKtHhB4Nn/31CKuI9BoBGvP9y5Xa+jK2G4nzpluRQyXPVzbIpNFdtx6Y7sGg+EkRljbYiz0HWtjW2SscrIeADDbNmGzBoPhzJxPccHl5oEHHuDmm2/mFa94xZrr3/KWtww+v/nmm7nlllvYt28fX/nKV/jhH/7hdY91zz33cODAgcHldrvNrl27Ls/CDYaL5EwZhKu3G8ea4XLzoz/6o7z3ve/l3/27f8cXv/hFyuUy//yf//PB9m9961vs27dvA1douNSsHv307SIPreI7zHdSeolk30R1IB65tkWYKWyrcFf94zNLJLli53CJZi9lvhsT5wrPsgg8gVSabpwTZ5IsV+wcKnGiGRNmkpFqgGtDmEryQkMDilFQywKlNbYQODb90gGLKNV4NjTDjGcXQ1pxii0sxqo+rSgnkZJWkjFW9ugmOb0sZ8T1sC2Lbx5ZJskU109WAUE7yvjeXAchBAvdhEwq2lGO53SoBQ4CCGNZCHducf+11kSZJM0V3SQnyyVc4obLCxnbNRgMazHC2hZjtWNtKzAxENaMY81gMJwfK61XF/qu6NjYGLZtMzs7u+b62dnZc+aj9Xo9PvvZz/KhD33onF/n2muvZWxsjKeeeuqMwprv+/j+1nidNhhuv/12qtUq3W73tG3VapXbb799A1ZleL7x4Q9/mDe+8Y380A/9ENVqlU9/+tN43smGwk984hO85jWv2cAVGi4lWmsOL/boJTlTjYClXuFGS6VirOax0EmZaUXsG68ihCDrh+YHroPv5iitqQYOmuLvhbGKj9CCVpwRZ5JeUpQKZHkhDvmejWUJlC4aOVthEcZvWUC/6NIW/TFSrbGAuu9gWRa2Ba4ryHLFfCclTHM0UPVdhCVAMMhJCzOJawma3Yx64NKMUpJMMlz2sS0L37HRQNlzmO+XKWyrB9RLDhXPoRWlLPVbVKXU4EI3yZlpFS2lYVaM047XfF64zbrkYte5xnYNBsP6mPTBLcZKxtp4bf0q5M3GRN9ZZxxrBoPhXPzBH/wBN998M6VSiVKpxC233MJ/+2//7bxv73ket956Kw899NDgOqUUDz30EPv37z/rbb/whS+QJAk//dM/fc6vc+zYMRYXF9m2bdt5r81g2MxYlsX/8X/8H+tu++mf/mksy/y5aLj8jI2N8Td/8zcsLy+zvLzMT/3UT63Z/oUvfIFf//Vf36DVGS41vVSy1E1xbYun5ro8O99lsZvynRNtji6FuLagFWZEWaF6LYcp43UPxxb0EslUPWD3SJmJaoDnFgJTybPRaOJcogEbMRDTZlsxliUYqXgEjk0sJTKXKFU4TVwBjn3SrWbbAsexiTOF59hM1HzmeimdOEMpjW1ZjFZdUqmLYH8bSp5DmEqEEIS5xHMsenHOWC1gqOLSiYtGT0sUYplGYwlBL5XUA5da4LC9UUagmW1HWJagm+Q8PddlvpMSeDaOBRMNn2aY8uhlagldGdsdKntUfeeiRbWVDL1mmBb3W+tz38hg2GKYv5S2GAtbzLG2Mgo61zGONYPBcGY+8pGP8M53vpMf/dEf5fOf/zyf//znee1rX8s73vEOPvrRj573cQ4cOMB/+S//hU9/+tN85zvf4Z3vfCe9Xm/QEvrWt751TbnBCg888ABveMMbTisk6Ha7/Jt/82/42te+xqFDh3jooYf4yZ/8Sa677jruvPPOi7vTBsMmQSl1RhH7D/7gD1BKrbvNYLgcNBqNdfMrR0ZG1jjYDFubXCqaccbR5ZDFbkLJc9g7XqUWOBxdiji6HNKOM3pJkflV8R1umKwzVPIIkxzftbBE0cQZZ5JUKqRWWIBSAs+2qJddqp6NsMCxBVXPZqruU/UdLAqnGYDrUBwPQcm1qfgWtrCIc0nZt9kzUqIauGSZZjnMGKt4lD2bkuegpMISAhAIrWnHGd0kI3Asxioe7ThnvOZzzWiFkuew0I1Jcwm6mEHtxBmubTHaz88WQjBU8vAdm5lmVLj60px6yaETZ5R9lz0jVbYPleklOUeWeptaqGpFGd8+3uIbzy7xjUPLfOPZJb59mQRBg2EjMaOgW4yTjjUfCDd2MefBZL0QAOeMY81gMJyF//Sf/hO///u/z1vf+tbBdT/xEz/Bi170Ij7wgQ/wnve857yO8+Y3v5n5+Xne//73MzMzw0te8hK+9KUvDQoNjhw5cpr75sknn+Rv//Zv+Yu/+IvTjmfbNt/61rf49Kc/TbPZZPv27bzmNa/hwx/+sBn1NFw1HDx4kDBc/2+KMAw5ePAgP/ADP3CFV2UwGK40WusrNgJoW4LlbkKYSrYPlQHwgb1jVRa7CYcWurSiooly92i5ENXKHteMFVlfM+2YOEsJHJtunNNNcnKlqQceYZpjCUilIpMKpaAeOCAElrBI8gwNeK5NyRcoqUmkRqHxHQutAaEZLfvcdu0IVd9hz1iZl+xs8NXvLhFnOdFsh6VewljNpyEVc52Yp+ZjLCGo+MXY6ZGlEFsIRsoe1cBh+1DAiWbMQt9woPva3mTdJ3BsklzSjgqH247hErXA5ciJFo5tEaeSsZrPVP1kqcPlKjK4VKzO0Bsue3iORZorZloxnTjnxTsaJrfNcNWw+X4CDWdlRVgbq/qQb/BizoMVx9p8t2jssS0zn28wGE5nenqaV77yladd/8pXvpLp6ekLOtbdd9/N3Xffve62r3zlK6ddd8MNN5zx3d5SqcSf//mfX9DXNxi2Gnl+9j8ozrXdYDBsfVbaOVeH1o9UPfaMXs7QeoHWmjiTg/OEwLGoeg4agZQKrTVhIjmyFPbbQQNees0wDx9aYq6dcKzZox1lZErhOzaRkozWfEqeTZhIeqrIYytOQTTznQSBpuwJMmUxWvHoxjm2lKS5QAO+Ixgve7xk5xCT9RIV36buuwxXAm7eUed4K2KiHvAPTy+yGGZorYo2USEYqbrsHi4xUQ/wHAvPFZxoRSz2EhY6CWmuyJWmFrgMV1yGSx6+bbEcpThCMF7zGC4XzszrJqqEWSFKuY5FybXXtIS6dpETl8vL6yp+LoLr6gy9bY3S4PrAtdnWKDHdijiy1OPF2xvnLd5eSeHXYLhQzCjoFmMlq2ylFGCzM1rxsARIpVnsGdeawWBYn+uuu47Pf/7zp13/uc99juuvv34DVmQwPH/4+te/flHbDYbNyO///u9zyy23UK/Xqdfr7N+/nz/7sz8bbI/jmHe9612Mjo5SrVZ505vedFr5zZEjR3j9619PuVxmYmKCf/Nv/s1pQvNXvvIVvv/7vx/f97nuuuv41Kc+ddpa7rvvPq655hqCIOC222477WfqfNZyOVlxFs20Yiq+w3jNp+I7zLTiy5bjJZWm5Fl0kpxHji7z3dkOj0+3+P99b56/emKe+W6KRhDnCoEYrKUd57xoe4MXTNYIXIswzQlTSS/Jme/EZFJT9x0cIbCEYKwaMFxxKbk2YapoxxmB53DtWI1dwyVsS1DxLUquhd93hoHFzqESE/USO4dL7BgqM91K+MahJRZ7KccWI759rMVk3eeGqQoVz8F3LHYMlXjBVJ3brxtn/75Rbt83RsV3ePR4k79/apGjyxGLYUYzTDm+HLHQybhxe4ObdjS4aVudG7fX2TdeJZWK0ZpHo+xS8118x6bsOmtENaDIdrMEjn35Tumf6yjnSobeikh4KqvddpdzHQbDlcIIa1sIrfXAsbYyYrnZceyihhrMOKjBYDgzH/zgB3n/+9/Pa1/7Wj784Q/z4Q9/mNe+9rV88IMfPK+mToPB8Ny57bbbLmq7wbAZ2blzJ7/1W7/Fww8/zDe+8Q1e/epX85M/+ZM89thjALznPe/hf/7P/8kXvvAFvvrVr3LixAne+MY3Dm4vpeT1r389aZry93//93z605/mU5/6FO9///sH+zz77LO8/vWv51/8i3/BI488wrvf/W5+/ud/fo3T+XOf+xwHDhzg13/91/nmN7/J933f93HnnXcyNzc32Odca7mcnOosClwbS4iBs+hy5XiFqWSpmw2KAdCK6WbIsws9Uim5drTMaNmjFeUcW46oBS69JOfwYpdunLHQTWmGGVXPZqzuM1UPGCl7CKGZ7SR0E0mj7FL2bWxhkSnFUNml6juMV31GKh6jFQ+tNUoJLGHjuRauDZ4tWOhmPDvfZa4V8fR8h1acUSu57B4pM1zxyKQiyjVl16VR8XjpnmF+6IUT7B6uoLWm5BY5gUmmaEU5Jc/CtQSW0LiWxbbhEgjNEzNtBEVLqCUEM+1C3Nw9UqHqO4xUPZb7LaGnshymjNY8Kt7pmYSXgosRXHNZOPM8Z3254ULcdhsh/BoMF4oZBd1CNMOMtP/iM17zmd/g9Zwvk/WAuU7CbDvmxTsaG70cg8GwCXnTm97EP/zDP/DRj36UL37xiwDceOONfP3rX+elL33pxi7OYLjKOVd+mslXM2xFfvzHf3zN5d/4jd/g93//9/na177Gzp07eeCBB/jMZz7Dq1/9agA++clPcuONN/K1r32N22+/nb/4i7/g8ccf58tf/jKTk5O85CUv4cMf/jC/8iu/wgc+8AE8z+P+++9n7969/Mf/+B+B4vfW3/7t3/LRj350UHDzkY98hLe//e2DEp3777+fBx98kE984hO8973vpdVqnXMtl5MLcRZdqhyvwiwQ49iCuuMwUvZ4RmuGc0XgOkgNzThj33iFHUMlFjopM62IRsnlG88ukUjF0/M9LEuwY7hK4LqDEcsjiz1m2hFKKaSS9NJizLTsOTiWxnMtuqmkGjgs9lJqgcPe8TJPz/U4tpQXOWwWNKOMdpTx1HyXkYrHq184iWMJlnspSS65aVudZpRRDWx8t8xUI8AWFkkuafUyoiGJ1nB8OcS1LW6YquNYAqnBFuA7Ns8uFmOsC90Ez7FxLFFkyo2cHL/dM1qhExcFDsNlD9e2yKRiOUwHAtzlGIe82FFOx7ZwLEGaKwL3dOHvfN12l2Ok1GC4HBhhbQsx13erDZcLS/BWYaLWd6x1jGPNYDCcmVtvvZU//MM/3OhlGAzPO44ePXrO7ddcc82VWYzBcBmQUvKFL3yBXq/H/v37efjhh8myjDvuuGOwzwtf+EJ2797NwYMHuf322zl48CA333zzoPwG4M477+Sd73wnjz32GC996Us5ePDgmmOs7PPud78bgDRNefjhh9e0UVuWxR133MHBgwcBzmst65EkCUly8m/rdrv9nB6bS+ksOl96qWS5l3H9ZI3jzYjpdkQvVdQDlzCRgCaXUAtcBIJ6yWGmnbDQTZhrJ7iOoOLZlFyHJFdYlqDkOWg0ti2wLIFSEKc5mdRUfYdtQwFVz+ap+S6HFrqEmcRC41o2RxcjTjRjmmGKYwkypfFtgUKw0ElpRTnfPtaim+TMtiIOL0XUfKcoP3AFk/USudTYDjiWRa5zpNREmaQVpTRKLo5lnSYwTdUDZtsx101UmagH6+aGNUouL97ROC3/7lQB7lJzsYJrxbMZqXrMtOI1gtgKy2FRTHEut91GCL8Gw3PBfPdtIWbbRYPMRG1r5KutsJIHt7J+g8FgWA8pJV/84hf5zne+A8CLXvQifuInfgLb3jpvJBgMBoNh8/Dtb3+b/fv3E8cx1WqVP/7jP+amm27ikUcewfM8hoaG1uw/OTnJzMwMADMzM2tEtZXtK9vOtk+73SaKIpaXl5FSrrvPE088MTjGudayHvfeey8f/OAHz++BOAuXyll0IayIeeM1n8C1eWpOc2wpwrEFUmlqZQffsfH6RgLHEsx3YsqezXDZI0xlUXTg2ZQ9h0wq2mHKYrcQGmuBi9YaxxYMuw47h0rEmaQZ5pRdhzBRdOMMtOboco840eS6aOi0LE0nkURCIZXGsYo8uGPLIZaAQwshJ1ohmsI1ZQvB7rGETGmuG6+RK4UjBLYtIIM4U0zWbfx1hEvRbwWt+A5DZxCOoBDXbt7RuKLB/RcruAohLonbbiOEX4PhuWCEtS3EiuNrYovkq62wkgc3azLWDAbDGXjqqad4/etfz7Fjx7jhhhuA4qRh165dPPjgg+zbt2+DV2gwXL3s3r2barVKt9s9bVu1WmX37t0bsCqD4eK54YYbeOSRR2i1Wvy//+//y1133cVXv/rVjV7WJeGee+7hwIEDg8vtdptdu3Zd8HEulbPoQlgt5lV9h+snq/RSiWcJhsopzSij7NisaHndJKeT5LiWoFy1EBb0koxcajxbUHJtjqc5iSyyzZJc0UtzSp5DlivmugmtMCPJFVP1gOsnPY4vRcx0YjJZiFsCcG3IlSBOcxolD6kUmYKKAydaMa0oQ2sIPIdcKmxLkCvN0aUIC/BtC9sSTDUCBNCNc4YrLpYQ6wpIy72U4YpL/TxcZ0KIK+rIWv0c+a5FlEmkLByBJdc+L8H1UrjtNkL4NRieC0ZY20JsVcfaZN+xNmccawaD4Qz80i/9Etdeey0HDx5kZGQEgMXFRX76p3+aX/qlX+LBBx/c4BUaDFcvR48eXVdUA+h2uxw9epQ9e/Zc4VUZDBeP53lcd911QBE38I//+I98/OMf581vfjNpmtJsNtc4xWZnZ5mamgJgamrqtPbOlabO1fuc2t45OztLvV6nVCph2za2ba+7z+pjnGst6+H7Pr5/8W+2P1dnkdb6OTuoThXzyq7DZM1nvpOyrVFiqZeSaY0AeknO49MtppdjHAGNxCWVilRqRJrjBi6dJEMqzVg/fsa2LehCxbWJM0UrTMlyhdYQZpLhkk0uJY5t4bkCC02YFffDtgS9RDLfSXAtsC1BludoLGzhMVIJEEKz1EtphjlDZRcpNUeXQkYrAbtGy9i2RZhI9o6XqfgOj51osdCNqQUuthCEaU4rKoS+l+4evuyC2XN5rlaeo2fmeyitaYcZudY4QlAvF2LhvonKOQXXi3XbbYTwazA8F4ywtoVYEaa2SiPoCgPHWscIawaDYX2++tWv8rWvfW0gqgGMjo7yW7/1WyY43WC4zOzatYsgCIjj039PB0HwnFwwBsNmRClFkiTceuutuK7LQw89xJve9CYAnnzySY4cOcL+/fsB2L9/P7/xG7/B3NwcExMTAPzlX/4l9Xqdm266abDPn/7pn675Gn/5l385OIbnedx666089NBDvOENbxis4aGHHuLuu+8GOK+1XG4u1FnUirLT9h2peuwZPT8X0npi3ngtYDlMObYcsWOoRL3kMtNOeHquQyY1k3Wf3aMVhssu850EpRWLvZRmL6Ed57i2RZjmeLbNULkQsALXphWlLIUpuVL4jkWWK55djGhGOWXXRliCRBZFA7lUxBnk/QJUSwMalIJcKRQaIQpxTmqN71j4jkBrQTvO6aUZP3DdKHvHqgMBqT2ao7Tm0EKPuVbMcpQSJhKJZlujhBDFbc83K+1CRbLn+lwJIRiueMw+vUgzzNjWCGh4DlEq+d5sl6Gyy63XDJ+XQHYxbrtLNVJqMFxujLC2hRiMgta2lrC24rAzo6AGg+FM+L5Pp9M57fput4vnnTl3xGAwXDyHDh1aV1QDiOOYQ4cOce21117hVRkMF8c999zD6173Onbv3k2n0+Ezn/kMX/nKV/jzP/9zGo0GP/dzP8eBAwcYGRmhXq/zi7/4i+zfv39QFvCa17yGm266iX/1r/4Vv/3bv83MzAzve9/7eNe73jVwir3jHe/gd3/3d/nlX/5lfvZnf5a/+qu/4vOf//wal/WBAwe46667eNnLXsYrXvEKPvaxj9Hr9QYtoeezlivBqc4i2yqECqk03SQfCDitKOPR4y16Sc5w2cNzLNJcMdOK6cQ5L97ROC+RaD0xb7IWMFxxcW0bzxIsdlNqvsNEzacV5xxa6JEOlah4DpYQZBKaScbx5ZBGyaXuu/iuRc13qPouUZpT8gKaUUo7lGRK4yhFL8nQWuE6DrkCRwgEkEjQq9YoFSitsW2wgDjJ6TgpSkMjcLAti+FyMTKq0dgWLPVSvm+ng2VZg/t527WjVHybrx9aQgjBjpEy24d8RisBnbh4PM/ncbtQkexiniutNcu9lMm6Xzz+YUYrynCE4AWTVYSAZpiyc6h02UWtjSpwMGx9LsZZe6EYYW0LMTtwrG2tUdCVTLjFbjL4pjYYDIbV/NiP/Ri/8Au/wAMPPMArXvEKAP7hH/6Bd7zjHfzET/zEBq/OYLi6eeSRR8653Qhrhq3G3Nwcb33rW5menqbRaHDLLbfw53/+5/zIj/wIAB/96EexLIs3velNJEnCnXfeye/93u8Nbm/bNn/yJ3/CO9/5Tvbv30+lUuGuu+7iQx/60GCfvXv38uCDD/Ke97yHj3/84+zcuZP/+l//K3feeedgnze/+c3Mz8/z/ve/n5mZGV7ykpfwpS99aU2hwbnWcqVYcRa1ooxnF04XcHaPlDmyFNJL8jVjeYFrs61RYroVcWSpx4u3N9acvJ7p5Ha1mJflklRqXAsyBUvdhMemO2wfKjFWCxiTmkOLXZ6e65IpTdW3GQ5cxsseaabIlSLKJb1OzpEFxdRQgNKaZi9huZcSJTnCsuhGOVIW2WntOEcLgZISW0B6yuOhAVsUoppng8TCti0avkOuNGXXwbYFC90MqSDL4Z8ON6n6Li+cqmHb1kCkrPo2+8aqjFX9QU5ZIedx2uO23uPVjvN1RbLpZsRcO+EFUzVGKt7gsdVac3ixd8HP1QorbZw7hsr4Tj9jTWlsSwxy7K5kG+dGFDgYtjYX66y9UIywtoXYquUFoxUf2ypafhZ76ZYTBg0Gw+Xnd37nd7jrrrvYv38/rlv8ssvznJ/4iZ/g4x//+AavzmC4uhkbG7uo7QbDZuSBBx446/YgCLjvvvu47777zrjPnj17Thv1PJVXvepV/NM//dNZ97n77rsHo5/PdS1XirO5nObaCXEumTxD3vNw2TtNbDnXya0QxTnC0eVosI9twbHlkF6cceP2BpYQ+A7sHa0QpjmHF0Mc20cKTcmzCFyLTIJjC+JMEWYZT8yk2EKQZJIwztGAJyBTCqlBAWGqCFywEMSy8KrZgOzfn5INtmOx4mNTStKNMywEniNQWjPbiuimksmaz3WTVQLH5qm5Lt+d7TDSf/y6Sc6JVsS1YxWqgTMQ1NZ73KTSpz1ewxWXXlp87aGyRyYVSmuk0oSp5JmFNocWu+wbrzJa9dkzWsG2BEvdlOEztI2u91ytZnUbpxCCsrd2nyvZxnmq0LjyfWMwnIlL5ay9EDa9sHbNNddw+PDh067/v/6v/4v77ruPV73qVae1+/yf/+f/yf3333+llnhF0Foz114ZBd1awpRtCcarPjPtmNl2bIQ1g8FwGkNDQ/yP//E/+N73vscTTzwBwI033jgInTYYDJePxcXFi9puMBiuDs7lcnpqrsNiL2Hn8Okh8rBWbNFaM92K+faxFkkumaoH+K592sktcNoJcDNKObYc000l7agQkwAsy6LsudwwWSNKJViQ5hrbtmhHOc0oRQhBPXBoxTm51ORaYTkWVc8hyiS5BiUKJ1qmIMyg5Gry/n1YEdWqHpR9D4EmkYo8LwS/KJUomVL2bZphSporRmo+10/WGSn7hLkkyiSL3RQpNdXA5thyzHdnO0w3Y27clnHteHWNmLXyuC31Uo72HYGrxYDDiyHfm+0yUvGYbsbkWpPlinacUfYcxqs+uVRYlhg8trtGSgNh7FzP1XpsljbOK+06Mmx9Ltat+VzZ9MLaP/7jPyKlHFx+9NFH+ZEf+RH+5b/8l4Pr3v72t6+xZZfL5Su6xitBK8pI+y9841ssYw2KAoNCWDM5awaD4cxcf/31XH/99Ru9DIPhecWP/diPndUZ+mM/9mNXcDUGg2GjWBn/O5PLabTic3QppBVljJRPPx9ZEVvCVHJ4scc3Dy+z0E0Zr/pIpZlqlKj6zuDk9vBiF6057QTYtSzGqx5pnnNkMVzjbNNaUwtclsIMpRSznQSpCvFLKoUQFt1UEWcaUMS5xBHFSGaaS1T/tNKyoexAnBfi2moCC3Ip6CU5o2WPiuew2E3ZPlTCtQpXHAJSBY2yx87hMteMVkilIs8VjhBM1HyeWegxXvMZLrtsHyrRTTKemu+itOa6idpAXMukwrbgRHP9MduSZ3NksUcnzrhhqkbVtji02GO+nTBeFwyVPVT/cRtp+Ey3ImZaSTHe+hyFsc3QxrkRriPD1udcr2Pncms+Vza9sDY+Pr7m8m/91m+xb98+fuiHfmhwXblcPmsd9dXAiiA1VHbXfXHc7EzUA6A1yIkzGAyGAwcOnPe+H/nIRy7jSgyG5zdf//rXz7ndtPMaDFc/q8f/1qMWOJQ9h6Vuuq6wthym1EoOz8x3WeqlZLlmx3AJSwjmOym9RLJvokrFt/Fdi+/OdLBtix1Da4Ub2xY4lsW2epljzYjjzYjxmo8ApIbZTgxKMdeOaUUZQxUfO1eUXIdeKrFtC4GiG+dEqcaxJXleuNFE/yOXhXNNU5wQS4rPfbu/AxopNZ00A6XwXYfv3zXMWN1nvhOTSU0rytjRKJFIzYlmyLbhEq5tUQ8cZtoxYSoZLnuUPZt6kJFkErdfADHTjtg3XkUgWA5ThsoevThbIwYUI5A535vpkuRFDp3WkElNkim2DZXoJjlz7ZiRiottF+6b4bJHN8ko+XYhgD0HYWyj2zg3ynVk2Pqc63Xsco0xb3phbTVpmvKHf/iHHDhwYM0P0H//7/+dP/zDP2Rqaoof//Ef59d+7deuOtfaXKcQpLZaI+gKk/1cuDkjrBkMhj7nyqRZwfzBZDBcXpQ6+x+X59puMBiuDs41/pcrzbZGgO/Z64otZc8GLQjTnLGqz1wnwXdsLCEYr9nMdxKeXejiOxatMONEM8ayiubRHUPlgXuk5NrUyy7znZiJms9Q2SVKcnpZjlSKVpghhGYpzEhyRdQMSXLdHxUEKSVRpggzVYx+5oVotvKxQj9WDU1RUKAoNDWtQaliexpKSi5MNjxGaz6ubSEVWJYgShWHFnuUPJuRSsBUPWC2nSA1tMKMauBgWwIhBGNVn14iWQoTRqoey92U5UpKkikqvsNUw+e7UTYQA7pJzjPzXb432+GZhS5hIplux/iezfZGCaWLsciK7zDXidk+HFDqP2cra9w+VEaq8DkLYxvZxrlRriPD1mejxpi31HfhF7/4RZrNJm9729sG1/3v//v/zp49e9i+fTvf+ta3+JVf+RWefPJJ/uiP/uiMx0mShCQ5OZLYbrcv57IvCSuOta2aT7YScrpSwGAwGAx//dd/zTPPPMM111wzqKU3GAwGg8GwMZzP+N/usTK7h8scXgpPE1tGKz7fnekwXPZQaBwhyKTCd1YEH8ET0x0m6h71wGO05pLnMNuKiTPFvn72mECwrVGiGWZ0k5SRssdymNKMFGGSs9hLCZMMKRVQhPh3k4wsV4PCtFSeLpididVONqULYc2yittKBYFjk+WKbx5eQiOIMsm+sSq7RktkmcZ2BFKpwv0mBEku6aY5O/uNmlrrogW17JDkOUprlnoZE1HGnrEKu0eKsgHH6pHmhdvm0eNNDi2E5FJS9RxqgcPxZswT0x3CNMe1HMJMkuQSxxaMVYNBKcKKcDBS8WiU3IsSxq50G+dKUcFiN6GTZAxV1l/jlSxPMGwtNmqMeUsJaw888ACve93r2L59++C6X/iFXxh8fvPNN7Nt2zZ++Id/mKeffpp9+/ate5x7772XD37wg5d9vZeSFcfaVsxXg5NNpmYU1GAwrOb6669nenqaiYkJAN785jfzO7/zO0xOTm7wygyG5w+rs2yfy3aDwXB1cL7jf42Sy80l9zSxpRVlq5okoV52Wewm+FUbjaYZpURZzlCpRpiebBed76Q0w4Sn5zXXTVQpuw5V32Gk4hE4Fs8sdJnrxKS5JskVJVew0C1cab5rEad5vzABlNJovdaZBqdfPhVN0QhaPBB9Ia6vHWVK08skT8/3EELg2RZx2qLiOwxXPIZKLplUtMMUz7V4Zr5buO5KLnEmWegmdOKiXKFRcil7NmMVn5fvHWWi5iOEQGvNSNVjuhnRS4sWUd+1GK64pDIiyRXXjVdJMslCJ6XsSdLcZrwRUPYc6qWTp/WrhQMhxEULY0KIK+IKW11U0E1ynp3v0U1yrhmtnvb1r1R5gmHrsVFjzFvmO/Hw4cN8+ctf5ud//ufPut9tt90GwFNPPXXGfe655x5ardbg4+jRo5d0rZeDuS3uWJvor9uUFxgMhtVovfZP3T/90z+l1+tt0GoMhucnf/3Xf31R2w0Gw9XDyvjfVCOgl+QsdJMi52ooWBMWvyK2DJW9wmUmxJoRrBXXWclzWOjGtOOMZpjiO/ZgbHTbUJl6yaMZpjw73+ORw03+6UiTx6fbPD3fYazqMVbziXJJkmt6SU6cFaN/jcCl5NlIpQlcu3DFCchV4ThbiUpTnN8JrwVrbW19Zc22isymVi9lrpPQjjIsoSl5NnEuWeglzHViAtdirl2Mvu4ZrTBW81nqJRxeDJnvJMS5ZLTqs2OozGw7JVWKwLEGJ/crYoBtFdlzWaYHo525ViitmawH7BmrMNUI2D5UZs9YFZlrRipuIfZlkulWdJpwsN5ztdlYKSqYacVUfIedwyUm6gFHFiOenu/STfI1+y+HKaM177KWJxi2Luf7OnYp2TKOtU9+8pNMTEzw+te//qz7PfLIIwBs27btjPv4vo/vb37nV5ZlPProowA8eWQJgGhphn/6pwiAJ554Aq3WnzvfSKTMeeKJJ9ZcNzq6BzjpvDMYDAaDwbA5eNWrXsVXv/rVs243GAzPH57r+N+pI1gV32b7UMDx5ZATzYhjSxE7RwK2N3y2D1cAmGnFlH2HKStgoZPQDDOWuykTQz47h0s8crRJO8rwbItKLeDZhR6dJCfJFTXfZr6rsATUPBuFIs81cV+DWXnr7nyGBVX/BkKD7YBWICxN4AiEsInznFyC1Kpwv+QaDXSjDM8SDJc9puo+N2+v4XsO35tt89Un51noZkzVAxoVh0bgkSvFjuGiHfXIcsiL+42nK4/7C6ZqfGe6xXKYEmUWjhDsHq4QZZIokwSujWPZuLbFUMmlFjhUfZfFbnreY54r45ZXYrTzfDhTUcGe0Qq51BxfjnBsuGGyTi71FSlPMGx9rvQY85YQ1pRSfPKTn+Suu+7CcU4u+emnn+Yzn/kMP/qjP8ro6Cjf+ta3eM973sMP/uAPcsstt2zgii8Njz76KB/5wl8zsetavjtvAxZ/9bVH6LSuAeCJf/xHxvfexK4NXeXpLJ44wmceb/KCZvHCOHf0GX7ux38QgIVuSiaLX0gGg8EghDjtF5z5I8lwpdBaE8fmDZ88z8+5PYqiK7SazUkQBOa1yfC8YvX43/kKMatHsJ6e7xJlOUvdlJl2zEw7Js4VnmUPRh9n+82ZO4fLNMOEXiIpuRauY9HqZTz0+CydOCPTsNyNWeqlLPVSBBBmClcUo58IsIRFlheCmA1oq/j8fES1Qb5a/0PL4nLJtsiUQuscC/D7uWuZ1DiOph1lZLIIc/vas0s0Aoe5bsq141UcWzBa9ZlqlLBtC6c/XjpW85mql3AssW74/kjFY99EFa0F1cCm1HfjRf2R0mavGJOs+jb7JivcMFnHsa3zFg5Wj1uuZK6NVD32jF7eMoKzcaaigqrvsG+ieCznWjEVL6Tmu1ekPMFwdXClxphhiwhrX/7ylzly5Ag/+7M/u+Z6z/P48pe/zMc+9jF6vR67du3iTW96E+973/s2aKWXnold17LzupvIZp8FckZHhtl53U1AIVhtVka37R6sE6DmW7i2IJOa+U7C9qHTgwQNBsPzD601b3vb2wYu4jiOecc73kGlUlmz39kKaQyG50ocx7zuda/b6GVsen7jN35jo5ew4fzZn/0ZpZL528Xw/ONChZhGyWX3aJln5rscXQppRRka2DdWoRXltOKM482Y5V5GqjTDZZcwzfneXBfftZlqBLi2zWIv4evPLtHuJcyHCVGqkAqkUiitUApSqXCEwLYtXFsXIpsGIU6WFpxvtP3q/aSGwAKtBVk/YtKiKDSwrSI/TilVxFlosG1RONccwfFmTMl32NEokUnNUNlmvB7gCgvPtRguu1jCQiq9bvh+xbPZMVTi2FLUH3MtTtfLnsOuERurX0rwimtHefme4Qsqf1oZt+wlOcNlD8+xSHPFTCumE+eXbUTuXORSDbL5TqXqO9wwWaPqO9y8s8Fo1d9wh53BsB5bQlh7zWtec1oOD8CuXbvOOrpwtbDyLhGAJ7Zm84klBBO1gOPNiJl2bIQ1g8EAwF133bXm8k//9E9v0EoMBoPBYDCs5kxCzHQzYq6d8IKpGiMVb43QobVmuZcyXvVwLMFcO2Wi7uM7FlEmeexEMeYYezZhKqn7Nk8tFNmq141X8fvTSRqIkoy5bkozzPAdgW1Z5ArSvKjuVAoyoVFakueFcyzTJ9s9z5f1ig4SBTKTaIrMNgV4FiBgOcwIXJtcKdCCxV5GybWYqAZ4tsXMckzNs6n6Nk/PdznejJmo+7jCYrnsMtUoHGvrhe8LIbhmrMpsO+E7021ONEOGKx5aQzNMUUpz47Y6L9xWvyBR7UzjloFrs61RYroVcWSpx4u3N664aLU6my9wT89My5Wm6juMVv0r5j4yGC4U8525BUhyhez/dvDE1m3mmmr0hbWWGbsxGAwFn/zkJzd6CYbnMUEQ8Gd/9mcbvYwNRynFT/3UT5Gm6WnbPM/jj//4jy/oBO5qJAi2ZnmUwfBcOVWI0VoTZZJ2lLPUSznejDi02GXfeJXRqj9wsK2M9ZU9l5lWwmTDL4oFKFxX10/UONEMEVqw1E2Y8WxcC3ZP1Ch7J0dPF9sxnSQncCwsIYhyjWsptAKEIMs1A/1HQJoD/TbQC9DUzoiicK45FigBSoFUYCOIU0mYZARekXXmWTY7GgG5LgoWtGcz107oJDmdOMcRFmXPxhYW852UXiKpBjb7Jqrrhu83Si63XTtKLXB5YrrFbCsGAcMljxu217hp2/k5y1aP8Ca5YrGTnDZuucJw2Vt3NPVKcGo236mstJyWXYtukm+abDiDYTVGWNsC9PotKA4Sewu/dkw1ij9Kp42wZjAYDIZNgBDCjPf1+c3f/E3+7//7/z7t+t/6rd86bTTbYDBc/azOveomOTOtiJl2wrGlkFwphkouaaYQAg4t9Jhuxty8s0HJtciVJnAFudan5SrXApfJesDukTK+K6h4Dkpr6quEoiRXzPdSyp5DmqdoIbCAVGlsAKUHTjJXgJKFQ01TuNXOJKytzlI7H1T/RhZg9fWvKMvRGiSQS43nCALXwvMcAschznM6sUKgaZR9JusllnopSaaoBw71ksPhxZAdwwG7hstnFIYaJZfbrx3hxTvqtKOs/9gVjZ5SabpJflZh6dQR3jjLmWkl3Li9vq4rzLWtdUdTrwSrs/mmWxHDZa8oiJBqUFQwVPZ49ER7U2XDGQyrMcLaFmClXtjj7OHCm53tK8Ja8/kdgGwwGAwGw2bjZS97Gddeey3PPHMyv/W6667j+7//+zdwVQaDYaNYyb1KpeLZ+R5hmhMmGa4tGKkEdOKMZxdDXMfCtSzmuwnTrZAXbmuQZBLPLhotM6kGjjWAXClsIVACJmsBliU4tNhFUYwlaq1p9jJsIZis+yz1UrTWDAUOYabIVX+SRxeZZ4KiqMAVhRBmUYhsuTrdvXahbjYNJBIcARXfRitFmGokxddNhWLYsWiUXOJMsdxLKXsWnTTHsQUvqPvFGKnSpFLTjFIcIdgzVqLqu6eNgZ6KEIJa4FILXFpRxqHzzLpbb4S3GQmenO3y5EybG7c1TnOlZVKtO5p6pWiUXF68o3Fant+2oYChsseRxXBwf1xH0Ioynp7rMtdJePmeYRpncOJdKJutMdWwdTDC2hYgXMlX2+LC2lTf2jvdNo41g8FgMBg2G7/5m7/JW97ylsHl//Af/sMGrsZgMGwkjm1hCzi6FBKmklrgsNBJqAYurm3h2hbznR6eK3jxtgY7hkt0o5zZVkw7zkilpFF2me+kjNUsklwiFcw0IzSa462IkYrPaMVlsZfy1HyPWuDiCcFwxWO85tGOMnzHouRZhTvNphDVBNgWWAIQRVaZZwuiTJFrXVx/CZEalJRoBJ4rEGigyAWLUkWUSTzHLhxWUY7QgpJrU/EdlsOUG7fX2D5URimNbQs822Kxm563O+xCSgfOlKU2XPbYO1bhe7NdhssR+8arawSjlXHL9UZTrxSNksvNOxprhK2ya/Hoifbg/nSTnKPzIe0wI9eaZxZ6dKKMf/HCCYYuUlzbjI2phq2DEda2AMaxZjAYDAaD4XLTaDQGn7/lLW9haGho4xZjMBg2lIpnU/Jtjh+N2DFUKsYEtcbRmjDNOdbsUfIsSo4DFGKRZUvGaz4a6CYZFa8Qm751dJlMaubaMfPdFMcS7BwpU/JsvjuXYCEYClyGyh6jVY9cSha6ksVeRjVwqQQ2s62EPIU4KxpBZb+kwHPAsQRCQMV3aEcZksK5dqnOnDSQayh5No5lYffbQbXWhJmkm0hcO0drjUKwZ6TMSMVnth3TKHtsa5SpeCdPu+NMnrc77EJLB1aP8K5GINjWKNEMM55Z6DFa8amX3DXjlrtHKud0Z11uR5cQYo2brpvka0aSn57vEqU5tb7A69kWzyz0qB1a5uV7R56zALZZG1MNWwcjrG0BwuTqcKxt6zeBmow1g8FgMBg2N6c29hoMhucXQgi2D5Vx7SXaUYpSMNMKCVNFnEpiqdkzEhBnEqk0QigcIbBtwY6hErMdQdl1eGYhZDnMaPZSZjoJuVQMlwvxrBVmhKlivOZjCfBtQS4lvVQRJpJGye1npmkWOhm9JCHONbo/z6kApXW/ndPCsTWO1RfdHIHK9SB3zaIQyJ5rDZxUkGQS2xM0Sh6WECilyRVEqcR3LIZLLolSDJdtSp6FQjFZD7Cs4j4ICgHqQtxh6wllK0USUmkCx2ahndAbK0oHVkZ4Ped00a7qO9wwWePxmVbfVagG45a7R87tytoIR9fK/XEdwdH5kCjNGaueLJOpeA5pSdGJs+fcarqZG1MNWwcjrG0BumnfsSa2uLDWd6zN9X+pbtQMv8FgMBgMBoPBYDg7IxWPa8erHFns8c3Dyxxe7JFJReDaKC040UwYKiuuHasQZZqxmk/JtVEKfNvCc2DHUEDFtfjubBepNWO1ANe2mGvHNMMeN26rEWcS1xa04xylihgcpcEWmtGay6H5kFxJyn3HWKaKALU4U+QShNZoR5HlhbPMtwGhifunTprzLyw4E1oXgl2uNNXARSpY7sVUfYskVyil6aU5rmMRZZpjyxFSaVphzkQ1YKTqMVr1yaQ6b3cYcJpQtlIk0eqPQor+2vZNVqn6Do5djKimuVq3pMBzLK4br3LT9ga+Y52362yjHF0r96cVZbTDjFqw9mtkqhB0Ryv+c241PZPLb4WNbEw1bB2MsrEF6F0lo6BjVR/HKpps5rvJRi/HYDAYDAaDwWAwnIGKZzNS9nh6rkuYKnYMl9k5XKFecrEELPcSlroJT893CVybqXoJQVFYkGtNO8oBQaaKMc1GyaPkWAig7Ns044zlMMO24Nn5Lt+d6dAKM2qBw1jVRQFaFUUEZc9h33iNiZpLPXCo+Q61wCKwwbZPNn4KDZmE8BKealhQNJj6FrkqSgriLC/GQoVNKhVpXoh8oxUP37GIUkUqNbnUxLnk2YUej0+3qQXuBYlQq4WybpLz9FyX+U5K4NmD9sxWnPHd2S6tqBi/Hal6LIfpusdbDlPGaj4TNZ+hskfVd85r/HO1oytwbSwhBo6uXpJzZKmH1hdSDXF+rNyfpW66bstsO8pplF1qgfOcW03P5vKDjW1MNWwdjOS6BTgprK0kBmxNbEswWQ843ow40YzXWG0NBoPBYDAYDAbD5iJMcxZ7Ka4jmKwF5FrTClN6sSTRGknh1NoxVBq4eZbDlKHAZaGbEKY5Fb9wTmlgvleE9ie5Jskkx5Z6dBOPQ0shShWNnvPdGMuyqPoOWmtmOxFZntOO8kIE0Zo0k9hCEPgOSS7RuhhNdDybMCsGPgUX1gK6HjZQ9oqxz0wWIsxiN2Gs6rNzpMyJZohvW4xVPa4ZrRBlinYsuW68SivOUFoxVvWYqAXMdxOE0NT88y8IWBGWppsRYSoJ0yLHboUkl1w7XkFKNRhX3DNaoRPnTLeigfh2oVlqq9lIR5cQgj2jFeY6Cc8s9PBsi4rnkClFO8opezZTjdJgNPW5TESdy+W30Y2phq2BEdY2OVqfLC/wyYCtHZq4rVEIazMmZ81gMBgMBoPBYNi09FJJM8qo+y6+Z5NIhdZQDVxeMOnQSSVJJtFKI5UmzuRAvNkzVmGxlxJnqu/O0vSSnDCRDJVdHE8TeQ5LvYyZTkInyhiteniOIM01c62ITGqU1rSjDNcR1AOHqu/RjTPSTA7EISU1ElBKE3ia/qQoNhdXYCBYaR4FhCDJFBaQSUmSS44shiR5TtV3mRoqUS25pDJBA5nUlD2HpW7Ck7Nd2rFEac38M0sIBC/cVj8v19pAWGonPLPQZrzqI1WRK9eJM0qew1S9hGOJgbjVKBWuuFPz0M43S+1UNtrR1Si5vHzPMO0o5dmFkLRUjH+O1zymGoWgO92KnnOr6Yp4OdNa3/ixGRpTDZsfI6xtcpL+Ozew9UdBAaZWmkFbphnUYDAYDAaDwWDYaM7U9JhLRS41Jd9mtOphYSG1xhYC1xZEmeTwYo9EahZ7Ca5tDcSbmm9T8W2Ww5SSI8iVRqGplxySXCG1plFy6CQZc+0YWwi01hxfjsm1wrUEaE2cZmitUNIiTPJC7LItXMdCKhBK4zgCl6KYQGuBJYrzp4s9c/KswuSQ5RrPtbGFLpxrqsgcq7iaStnGsQWdOCeXmijPqfguUmu00iyGCb5jMdUohJmlUHJ8OSRX+rxHQhsllxdM1Xh2sUsuFc0oxRGCsZrPVL1ExbfpJTnNKKMVplQ8m0bJ5eYdjUvS4LkZHF31kstte0exhUWY5mxvlKiXXHKlmW5Fz8mJt8KKeHkpXX6G5x9GWNvkRHnxA1zxbKytr6ux3TSDGgwGg8FgMBgMm4KzNT06tkW95FB2bTpRzngtWHNbx7YouTZ7xir8s+vGGap4VDybdpzz6Il236GWc/CZHpYoGhyl0uSZJFOK5V5OK8zQuhDdFnsZlhCFOwxJLiHJNAqQfZEvyRVCUGSaKQ0aHLsQ0qQEy5akl8g4lariZDnr/1vxbBIJeaqK9lE0SkIQ2ORKE2aSbpyT5ZA1JO24cOi5lsVsKy7WqIqm0PlOckFNkyMVj+vGq1iWwLUsbFtQcm16ieSpuW7RDJrl+I7FYi8dNHVeitHMjXZ0rf4e1QLiTPLMQo+Riovn2DTKDteMVqgHz/2+XmqXn+H5hxHWNjlhvxO6GjjQ3di1XAq2GceawWAwGAwGg8Gw4Zyr6fFF2+vsGCrxVMVjph2zHKVUPQe7X0Y204wIPJuX7x1mx3AJIcSaY07WS/zQCyf4myfn+M5Mh6pnU/EdaoHDci/DsgTDZZeyK+imCo0eOIU6SY5UIFWRMG1ZkCmNyiWCk2KaTTH2mfTPmZBnvLsXjAay/ie21kUpg4TAFTiOjYUglYpuIhlxHET/v1xqWmHGdCckTBQVz8axoZdI6iWXTpQRZwpnUbB3rHpe4lfFsxmt+sy0YkYaRcZaN8l5er5LlOZkSrFntMJoxbvkTZ0b6eg69Xt0uOKxvRHwzHyXmXbMWDXAsQTfnemw0E0GguKZOJM7E7ikLj/D8w8jrG1yVhxrVf/qEtaON41jzWAwGAwGg8Fg2AhObXpcYaXpcboVcXQ55JrRCrPbEqJM0k0y2nGRpxalOb5r8Yq9I7xo+xCiP8q5csypekCUSaqew/5rx7CFYKmX0Ch7WALqZRctNcebEfM9QQlJlGR0k4w4LZxoWX9NCnDUSc1M9/9nU4hr6gpM9SS5wndsfNfGFYIkV1R9C99x0FrRChM8x8K2LUquxbePtwjznLLn0Iwylo9lVEsOnm0Te4o4VyityHIJ5yGsnSpuDZVdji+HtMIU17ZplDy2NUqUPIeSV2SOXYgj7lxshKPrTN+jUkEuoRnmNMqS8XqFLNfnFBTP5s5c2V8IcckLGAwbi1Iay7r84qj5rtnkRP3fILXg6rCf7hgqA3CiaRxrBoPBYDAYDAbDRnC+TY97x6rcdu0otcDlOyeazHdSFJpdwyVu3tXgRduHBqLEyjE92+KpuQ5znZRMShzLYrjiEXg2JdfG6osXzyx28R0LFDhCYNsWSa7IddEXsIJN4VDLV7nRcgW+BbkuhLfLjdbgOgLHAqU1aa7QvgUoLMvGsQSBa5PLorHUsqGEjd93djmWhSMshNA0wxSlIc5tUnn+vaWrxa3jzYijSyFl31kT4r/C5WjqvNKOrvW+R7XWzLSKhtQ9o2XiRJLkirLrDATh9QTFc7kzL5W7z3BlkP3ClJUiD6UgV0V24+ptUmlqgbumSfdyYYS1Tc4ax9pVwI7h4t2G+U5CnMl1AzANBoPBYDAYDAbD5eNCmh6Hyh63XzvCi3fUaUeFj6zez+9aLV7kUtGOM6ZbMTPtCBQIC7SCRCmUhK4tGa14RfmALMY7XUcQp0WVp+q3tq0Wy4Qocs5Woygy0K6EqGZT3A8FJLkmySSp0iz1UkqujevYjFUDxqseSa4Zq/mMVhy+M9OhF0sqvkOcKWa7Cb0kZ9dwiW6a41g+7gXm/a+IW6MVjyRTTNZ9Kp5zmrh1uZo6r6Sja73v0SiTtMKMesnBsSxynSOlhr4mtp6geD7uzEvp7jM8N04VyVaLZauvk1qj9fkL0leKq0OtuYo56VhzroZJUIbLLiXXJsok062YvWOVjV6SwWAwGAwGg8HwvOJCmx6FENQC96xTNLYlOLYUcmipR8VzqQQOjl1kjpHkLCcJJctGKkUnyvAdC4HAdyx0ySELczSFW23ltNmicKWtxyWMUzsjTl9nkRLCJEdqEAocCwQCVnLW4pT5jkXgO2RSUfZdyq5Ns5dzohnh2BZaaxbSotChUXaZqPmnCYbngxCCRtljqOTiWNa6YtCVaOq83Kz3PSqVJtcns/gKp+PJ+7+eoHi+7sxL6e4zFGityde4y/S6brPNKpZdCFv3J+15QniVOdaEEAPX2vFlMw5qMBguPffddx/XXHMNQRBw22238fWvf/2M+37qU59CCLHmIwjWtp5prXn/+9/Ptm3bKJVK3HHHHXzve9+73HfDYDAYDIbLxkrT43KYrrt9OUwZrXlnbXrUWtNNcpphSjfJUUqxFKakmS7G7WwLC4FnWzRKDnGaI6Vk71iFybrPP7tujKGSQ5hIaoHLWMWlUXJZ/SWvhCPtTAgKtxwUWW656o+oWsW/UmlyqZFSE6aS5TAtRkQVZJkiTBVxnuM5NpawsKxCSPRciyiTJFJdsGNthfWeP40mzHI6ccZ0K2Kk6l5QU+epz+eK0HGm6y83p95H3R/BTXNFN85oRxmNSmHaWGE9QfFc7kzHFnSSjMVuckXv31ZGKk2SS6JU0okzmmHKYjdhrh1zoj+mfGihx7MLPY4uhZxoRsy2Yxa7Cc0wpRNnhGneb/dVV8VjfnWoNVcpSuuBY616EfXBm40dQyWemutyvBlu9FIMBsNVxuc+9zkOHDjA/fffz2233cbHPvYx7rzzTp588kkmJibWvU29XufJJ58cXD71nd/f/u3f5nd+53f49Kc/zd69e/m1X/s17rzzTh5//PHTRDiDwWAwGLYCF9v0uF4QfK4UuYLRqkczSil7Do4lWO4lPL3YoxvlzLRTPLdJ1XOYrAdsa5SYaSfMtpP+CTb4jiC+gOyxy4UGVjLPc02h8tnguRZ5rshzEEJS8V1cxyZXmoVuwnDJ5amFHjOthFxD1bNwHRupNL6jaJQc0hziVJ1XxtqZmixXP3+ubbHYTVjqprTijIrnMFbzacf5eWWHrfd8DldcAtdmoZvQjnIcS+Da1mmB/5eL1ffx6fkOcVYIatOtiMVeyu6RMtdOVPvOwYLlMGXbULBGUDybO7Ob5Bxa7DLfThAUY65X6v5tNpTSg4yyU51lV5u77HJw9ag1VyGtWKH7LxQV7+p5qrYPGceawWC4PHzkIx/h7W9/Oz/zMz8DwP3338+DDz7IJz7xCd773veuexshBFNTU+tu01rzsY99jPe973385E/+JAB/8Ad/wOTkJF/84hd5y1vecnnuiMFgMBgMl5nn2vR4piD4p+Y6NMOU6yer5FLTi3Pm4ozDCz2k0oxWPXKpaJRcwlTy5GwHoTWBJ4iyHIHAskS/wW9znLgnsu9c63/YQmBryAHPKUYPS67VF2w0WiviXDLsOzg26BxacY4QGWmuKLkOw2WXRsk6OSZ7Fs7VZPniHQ0eP9Hmm0eWCZOcesll30SVkbJHN8559HjrnMH86z2fy72Uv/nuPEeXI+qBw3gtYKzqMVrxmWnFtKOMa8erlD37spYYNEouu0fLPDPfZbYdY1sWQ4GLJQrH1JHFkJJjF2s+gyC84nybacVrMta6Sc7T812OL0dcM1pm53CJTJ67XXSrccbssr6QlstCOFNGLLsorh615ipkISzsahXfxr4CFbFXip39UdBjphnUYDBcQtI05eGHH+aee+4ZXGdZFnfccQcHDx484+263S579uxBKcX3f//385u/+Zu86EUvAuDZZ59lZmaGO+64Y7B/o9Hgtttu4+DBg2cU1pIkIUmSweV2u32xd89gMBgMhkvOhTY9ni0Ifu9YhUeONplpxbxk1xBxJlk62sKxBUMVl8VOimMLelHOcNUnTELm2glSaQJHIBHIXJJLjc2VyVA7HzRFflLJA0sIpNbYwsJ3BFiCJFfYQiIswXDZJc813SjHtQvBsZdmlFybyZpPveSS5orYgoZrczYt6lxNli/aXse2BFJJxqseO3Y2cGyLknvy+TtXMP96z2cnznhqvsN0K6YX52xv+NQDh8VuRpQqphoBj0+3eWquw46h8mV1sWmtWe6lVH0bZ7jEci9DO4KyvyKCRSit2DdePaMgvJ4707EFhxYLUW3HUIndoxVsy8K22BKFButll6nVTjNdjCgbd9mVwwhrm5jF/hxozd/6SvlqdhjHmsFguAwsLCwgpWRycnLN9ZOTkzzxxBPr3uaGG27gE5/4BLfccgutVov/8B/+A6985St57LHH2LlzJzMzM4NjnHrMlW3rce+99/LBD37wIu+RwWAwGAyXnwtpejxbEHzZc3jhVJ3/dazJiVaM7wgWezFKw2IvxbJg51CZauDSDDMWw4wTrZjAETTKPjPtiDRTxLneJH61kwgBjm2TSkWaFi47x7YQlqCX5EhgoupT9h0yLRn3PQ4v5nSSHNexiLMi58sWFlNDPsthhm9Z1M4Q93OuJsun5zv89ZMRvmPz5HSHsu/g2hZTjdIaIehcwfynPp/tKOXvn17gyGJImBb5cIcXQ+olj/Gaz7HlkOPLIRXfBmVTLTk4wrpsLq9eKjm6GLIcZuQSRionR5ZbYYbrCOq+y03bG0zU/DOKYKe6MztJxnw74ZrRMrtHK6c9NhtVaLDe6KVxl20NjLC2iVlxrF0txQUrDMoLjGPNYDBsMPv372f//v2Dy6985Su58cYb+c//+T/z4Q9/+Dkf95577uHAgQODy+12m127dl3UWg0Gg8Fg2GjOFgQvhOD6iSonmhFRkrHcVSx0Ejzbouy7DJddJhsBnmOjgVYvIZeKRFgkuSRXhbCg1caWFqxHxStaT3WmUUCSF2KHQiMloDW9xAINWmgC20Zpje9YfdFKU/FctNCgBVXPYbjqnlEIOpuA2U1ylnopy2HGjVM1qoFDxXeY76T0Esm+ierg/HG9lszVrH4+Z9sxB59e4LuzXVwbeklOFQgzydGlCM+xSXPJUpiyY3iIOJdoBX5g0Si7nFiOeNK2eNmeISzr0nQkZrlkuhUjtWaidjLX1ndsJuo2c52YdpLj2eKczrLV7szFbpGptnO4hL3OWs/1uF0o6wllpzdkGnfZ+aC1LvL2kpwwzeklkl7/3+JyTi+V9JKcMJUkuSKTio+/5aWMVNZvhr0UXF2KzVXGimNtqxcXSJmvcYs0+4LhTCtGKn1VjbkaDIaNY2xsDNu2mZ2dXXP97OzsGTPUTsV1XV760pfy1FNPAQxuNzs7y7Zt29Yc8yUveckZj+P7Pr7vX+A9MBgMBoNhc3OuIPhjzQjXFpQ8i+UwI8k0Vc9iqu4xXivhO8VtklyS5hqJwpIC37ZxrBwlNku62loyBSVL4Ls2uZJoDZnSKAWOBY5lkeQapVKEZdGJC7dXGmfMdxOGyi6+ZxNlObaVcdP2OlONElKtf2/PJGBqXYw/ZlLTKLn4ro1rWVhCMF7zme8kzLQi9o1XEUKs25K5mpXnc6mb8PChJebbCfXAIfAsMqnppcXtwzRnphkRZTm+Y5NKiSMEcS6ZmYtph1lfgAtRWnHjtkvjXEulJkxzhtYRGAFKrk0zTM+rBALWujOrvkMmNes9NOd63FZYEczWG8dcfdkIZgXFaHROOBDDTgpi3VXCWJjKvnAmT7scpjln+LE5K8thaoS15ysLYaGQ17a4Y23xxBE+83iTFzQLp9rskWewxQ3kSjPXWRsiaTAYDM8Vz/O49dZbeeihh3jDG94AgFKKhx56iLvvvvu8jiGl5Nvf/jY/+qM/CsDevXuZmprioYceGghp7Xabf/iHf+Cd73zn5bgbBoPBYDBsWs4aBD/X5XgzYs9YmZ2NEkIs87+OwUIvHYgYtcDBd2ySXNFLcrQS1KoOjhAkuaQlJeI8pTULsC2QV8DhphWkuca2BfXAJcmLk3stNL5nkytFO5JUAgedKtqeg2tD4NksdRO6ViHAjdbLlDzBnpEyJdc5p+B1qoAZZZJWWGS2KaWpeDaeazHXjhmv+dQCm1aYEWWSsuec1pJ5asNo2bUYrrj8zffmWQpTtg2VmO3E2EJQ8R0Weylu3wTRijMyqaj6LmGaM1zxOb4cEaUSz7Wo+DbLoeTEcoRUXJKxUM8WlHybOMupBacfK8pyyr6NaxXfg+eTEwhn/j5eeYwWugkTdR+0ph1ng7yygdPseZZfJlUhcA6cYKuFsVQSrnKJnXSLnXSTreyfbWDbbzfOL+vxt7Zic5WzGF4djjWA0W272XndTScvL9jM9STHlyMjrBkMhkvGgQMHuOuuu3jZy17GK17xCj72sY/R6/UGLaFvfetb2bFjB/feey8AH/rQh7j99tu57rrraDab/Pt//+85fPgwP//zPw8U72y++93v5t/+23/L9ddfz969e/m1X/s1tm/fPhDvDAaDwbD5uPfee/mjP/ojnnjiCUqlEq985Sv5d//u33HDDTcM9onjmH/9r/81n/3sZ0mShDvvvJPf+73fW5OreeTIEd75znfy13/911SrVe666y7uvfdeHOfk3+df+cpXOHDgAI899hi7du3ife97H29729vWrOe+++7j3//7f8/MzAzf933fx3/6T/+JV7ziFRe0ls3AukHwluDwYo/jzYgdwyXGqgGHliKSDKYaAc/M93j0RAshihG7mu+gEX2nD4yUPMJcIhDESnO+p78KUFdoZtSxIM4lIteAIJUaSxTZa6ksBJZMQjvMsYQga/UYrZRwHYttQ2XiXJLnimvGygDEmWLniDcQvE7lTMKPVJpca1Qmqfgux5sRzShjthNzvBkxWvXxHYtektOKsjUtmWdqGA1cmyTTRQmDBYFr0YpyhBD4jk3JsegmOVXtEKY5ri2oByXQ0AwzlNYsdBJiKZF5MbI530nOK/z/VKHvVEHMdYpMubl2wkI3pha4OJZFrhSdOMO1bWqBw3fnusSpWrc5dc1jt2occ6jscXw54jvTbeqBgxCFkNmMUkqejWOXmOsk6y17y7AyNrnaHbZmbHJFDFvlDuul8qQoluT00pw422zD2QWuLah4DmXfpuw5VH27f9mh4tlUfIeRisdkPWDbUHDuA14EW1+xuYq5WjPWACYqhbB2bDniZdds9GoMBsPVwpvf/Gbm5+d5//vfz8zMDC95yUv40pe+NDgxOXLkyJrcj+XlZd7+9rczMzPD8PAwt956K3//93/PTTedfCPgl3/5l+n1evzCL/wCzWaTf/bP/hlf+tKXCILL+wvaYDAYDM+dr371q7zrXe/i5S9/OXme86u/+qu85jWv4fHHH6dSqQDwnve8hwcffJAvfOELNBoN7r77bt74xjfyd3/3d0DhYn7961/P1NQUf//3f8/09DRvfetbcV2X3/zN3wSK9ujXv/71vOMd7+C///f/zkMPPcTP//zPs23bNu68804APve5z3HgwAHuv/9+brvtNj72sY9x55138uSTTzIxMXFea9lMrATBH1rocqIZ04oyji2F7BoJmKwHTLdiZloxmZT4tk3JtYkyia0FcVqMUY5VPaIUuplkthvjOTZJltJLNqcDKM8h0xoE+A4IwLUEQlhorcgVWBY4AoQFSgl6cVYIQYHNsOsSZpITrZCK73LNeHUgeK3HioDZjjKeXehS9R1Knl2E9kcZgWMRpjlhCiNlj3rgMtOKmG5GKA07h0q8YFtt0JK5umF0qOQitSZKJYcWeni2YLTqEmceUSpxbFG4AW24drxMkklmWzFprhiteIzXAnaOlHlipkMrKoS1sueQKUWj6tKNM+JM4SwK9o5V15zLrhbSwlQy34lZ7mVnFMQqns3ukTK5LAL722FGrnMcIRipeHTTnG6SMdsSNEoevmuRZIonpjscWuxx3USNimefceR2+3CJE8sRzTAj1xqnP1K7bai04VNjGzk2ebmxRFF2UvZsqn7x74oYtnK54jsDsazsOVT8leuKfyues27W46nUApfx2uWPZ7n6FJurBKU0SyutoFeBY+1UJirFuzNHl8INXonBYLjauPvuu884+vmVr3xlzeWPfvSjfPSjHz3r8YQQfOhDH+JDH/rQpVqiwWAwGC4zX/rSl9Zc/tSnPsXExAQPP/wwP/iDP0ir1eKBBx7gM5/5DK9+9asB+OQnP8mNN97I1772NW6//Xb+4i/+gscff5wvf/nLTE5O8pKXvIQPf/jD/Mqv/Aof+MAH8DyP+++/n7179/If/+N/BODGG2/kb//2b/noRz86ENY+8pGP8Pa3v33gnr7//vt58MEH+cQnPsF73/ve81rLpkUUTqBeJpltx8x1EmaaMd0kh75DzRaCqmszXi9hCWhGGUIIRisBWieEqSTPFLEsBKtTdYD1rrvSRBpsoOQUuVslT/Qz1RSJ1KAL95oQYAmBjcBzbXzXQvSHW6XWnGgmvOqGBi/fM3xeY5KWJVjspjw93wUNjZLDVM1nMUwBGKsWb/L5wLXjVXzXBqXZOVLmRdvqWJa1pmG0FhQut9YqIambZtgI9o1XWOhlDJc90lzSifNifE5DyXd5+TXDvHLfKAvdlLl2zHQrwgLqQSFw+Y7NSNnDdWyWwgTZlGS5RHt2UcbQS5huxoRpTivOOb5c5PG9YKLGeM0nziTHlkIWuykv3Faj4jsopakGDo4t6EY5tbIDCnKt6cYZS2HhyvMdp3BVZcXjVg9c5rsxRxZ7XDdRJc4UUilsy6LkWgNBs+Y7vGCySnSG7c+FwdjkKWOQvVUC2Rp3WN8VtiKWbYaxybMRuBYV36HqFWJvxS9Er7WXHcruyW2VvjBWCGUOwUU+xpuRq0+xuUpY6CYUP0uainf1PU1TleI+HTHCmsFgMBgMBoPhMtNqtQAYGRkB4OGHHybLMu64447BPi984QvZvXs3Bw8e5Pbbb+fgwYPcfPPNa8Yx77zzTt75znfy2GOP8dKXvpSDBw+uOcbKPu9+97sBSNOUhx9+mHvuuWew3bIs7rjjDg4ePHjeazmVJElIkpNjau12+7k+NBfMavfTWMXHtSwePd5kuZtS67uh8lyRSEU3kbi2wA6KkVGpVH8EVPCinQ2OL4ccWQqRCALXwbXyYlTvit2bc2NTiHv1so3SAt0fYZXypKi2Qq7BkhphQ5xJKr6DVJrxqo/jWGyrldi/b4TGGcL4V1j9GL9oe51cKZbDjHaUYVmQZgq7n0vnWhaZUrSjnOGSx87hElEqCTNF1bcGDaOebfH0XJcwldRLDq5tkUlFN8050Y4IPJvhkkeYFNvrvkuvlHNoMeRle4Z440t3MFTxaUUZ/3RkmU6UU3Zt4kxSdmxAc6IVo3QxVqq04vBiyKHFkMMLPZ6Z75FIxXjNI5WFMGYLi28da7FjuBBdldacaEbEWc4LJmsD8WXXSJkTy2sFwUbZRyoYra7vRqoHRVNplEqSTK26ncv24ZOONCEEZc9Ga4s4Uyx0074bsHB+ndo2eWoT5UAo6++z2ccmK33343pjk6vdYJXB9rXCmCkeXJ+rT7G5SjjRigEo2cU7FVcbk9XCsWaENYPBYDAYDAbD5UQpxbvf/W5+4Ad+gBe/+MUAzMzM4HkeQ0NDa/adnJxkZmZmsM+pGWcrl8+1T7vdJooilpeXkVKuu88TTzxx3ms5lXvvvZcPfvCD5/kIXDpW3E/dOGOo72yaa0f4tk1QdeglGSeWI1KpsC3BQjciV7CtFiCARCqUBOEJeklONXBolDxsC7TSuFbfdLRKm9hI346gGFtzLQhcm24iyaSm5FiIvpVOU2SwWQIyCZ5TtHlKrWlHKb4TgBDsGS6xZ7SCYxWZZWcK2F/tMNvWKNFNcmbbCa0wI9OK40sR3STjmrEKi70ENJQ9m/Gax1SjRMm1Wegm5LJ4EHOpyKSiHWeEqVwzFuc7NlP1Ekth2m8aFUglWOgk5P1Msn0TFX7ohgmGKsXtGiWXm7fX+NbRCmlelBnMdmKSXFJybSwh6CbFiOYfP3KM7Y0SSaboJBllz+bwYkg7zNg1UqZWcphpxiz3Eiq+jdQg+9ltwxWfif5a13OW5bIQvlynEAijTBJnkiiVxJliKUx4Zr5H4Fp4jkUqNb0kpxNnZFIjBCSD/LGtMzZZGYxGFoJYeZVL7EwCWfk8xyYNzx0jrG1SZloRACV7E/50XwIm+o41MwpqMBgMBoPBYLicvOtd7+LRRx/lb//2bzd6KZeMe+65hwMHDgwut9ttdu3addm/bi+VHF0M6SQ5082YXppzYjmi5Nu044yZVkwnzVBSY1sWYar6LYI5Fc/B7QtSni1YClPaYYYEKm7R/Jjkm8utpoFMg9DQi7OitACIEoktTraSWoLCkac1UkGSaTy7GAIdq3jsm6jiWNBNcx473kJqqJcc9o5V2dYI1ghsKw6z4bI3aFsN08L514tzmmHGd2fbnGjG7BwpMVUvM1KxmawHVH2HOJM4lhg0jjq2Ra40C9103fHTXCmmqgGBVwh+852EbqywLM324YAXba/jWhbHmxFKFc2Y3SSn6jssZAnfne0glWKo4hHniqi/1qrnECaSdpgx10nINXTinFxq5roJZd/GtgRLYUI7yphqBFh90XGhE3N4qcdI1SfvC2KrxyZ7SSGqtaOMOFdnzFDbaFbGJs/mACvGKouMsfIpGWMV7+ocm7waMcLaJuVEs+9Yu0qfoam+Y226Xby74TvrN+IYDAaDwWAwGAzPlbvvvps/+ZM/4W/+5m/YuXPn4PqpqSnSNKXZbK5xis3OzjI1NTXY5+tf//qa483Ozg62rfy7ct3qfer1OqVSCdu2sW173X1WH+NcazkV3/fx/csfyH0qS73CBeS5Fo2Si2UL5FLITCtmvhMTZ4o0U3TSHCU1FgohNFJr4jwHUYxTduOcMFN0ogzLEnTChLlesqlEtdVooJcUTaCWI9BKoy3BityhNeRKUw9sVN91JSxBrmCo4pBJiWM5jFcDOknOQjelHWX805EmN21rcN1klZFK0RKay6Ld0rUFx5ZDwlRS8W2ONSM6UYrSCt91SHNJO8qo+ikLXYFUcO1EhYVOwnjVRylFlkscC3xXMN+OsYWgpTKEKAQ3rWGxF+PaFidahbi1a7TSH8uEJJM8NdclyTUl1xpkkAWOYLjiMdsuxNUkkyxGKXJFeMwVcSaxLMHB3iKpVFhCkKtiTDTOJP/w7NKmdIjB2rbJlfHJk2KXfYo77BTRbFX+mBmbfP5wlco2W5+Z9soo6CZ9tblIGr41aAg60YzZO1bZ6CUZDAaDwWAwGK4StNb84i/+In/8x3/MV77yFfbu3btm+6233orrujz00EO86U1vAuDJJ5/kyJEj7N+/H4D9+/fzG7/xG8zNzQ3aO//yL/+Ser0+aI/ev38/f/qnf7rm2H/5l385OIbnedx666089NBDvOENbwCK0dSHHnpoULRzPmvZDGitmW7GpEoxXvLxHZswLULus36Ivy1AC3CERU8VAexKFvc5zwVxrnCEoBmm2FaRbRUlkiiX5JszmgoApUBSONd0f4zQQZBrjaAQ0hwLArcQWXpJ0a4pNCgtGCl7XDteY6YVE6aSRsml4jk8Odvi6FLIt4+X2DdRZfdImbGqj2MJWmHGXDvGcQQnmhFRkhGnkrluiiUgV3B8OSZOJXvGCtHzfx1dZrjsMdkIOLwYDvLEtIb5bsKRpbAwNAgQQqN1UTARZYpWlNKKM6SiP05ZuMIWewmZVH2hrcjOSzK5KUUxISBwbDxHYAlBo+QWjaquTdD/KHk2fn9U94bJKmNV34xNGi4aI6xtUk40+6OgV+kzJIRg90iZJ2c7HFkKjbBmMBgMBoPBYLhkvOtd7+Izn/kM/+N//A9qtdogq6zRaFAqlWg0Gvzcz/0cBw4cYGRkhHq9zi/+4i+yf//+QVnAa17zGm666Sb+1b/6V/z2b/82MzMzvO997+Nd73rXwC32jne8g9/93d/ll3/5l/nZn/1Z/uqv/orPf/7zPPjgg4O1HDhwgLvuuouXvexlvOIVr+BjH/sYvV5v0BJ6PmvZDKwEt28fCujEGV7Voh0XIk/cbzmMU0nZtWmUnb4Yo1COwNaQSo1WGtXPIkvlSv6XRqnCFWaxJl5t0yAp1iboj34C2BrXLsoNaiWbJO83gwIjFY+hisdI2We86nH9ZI1meDLjLEpzjjcj0IKyawGaZpigpOLQfI9OkvHUXJfFboplaebbKaBZ7GXkUlHxi7HabpJzeCnnmYUQzxZoIRipeIjjYjA2mWSFQyxMJWlfINuMuLbAtS18x6IWuJT7jq9tjYChsls4w1a3TvbHJjXQiTLSXGFZAtey8FzBXDulHjiUfJvAsTnpL4QkL7LYXryzQdkzk1MbgRDFM7Iy5SoQrJ54HVzf/0Ssun7luTx5W9Z8svpYgXtlnt+rVLbZ+sz0ywvKV6ljDWDXSGkgrBkMBoPBYDAYDJeK3//93wfgVa961ZrrP/nJT/K2t70NgI9+9KNYlsWb3vQmkiThzjvv5Pd+7/cG+9q2zZ/8yZ/wzne+k/3791OpVLjrrrv40Ic+NNhn7969PPjgg7znPe/h4x//ODt37uS//tf/yp133jnY581vfjPz8/O8//3vZ2Zmhpe85CV86UtfWlNocK61bAZyWbRh7h6p8OxCjxPNiPlWQqYUR5dCFnqFCy2RipK0sCywLQutixFKF4XWFgIFtiCTiiTXnFKsuSlZOWnWFHlqluiXLdiQS0hzqPkuvmvhuzajNY/xSsCe0QrL3ZT5dsKzCz0UMNuJOL4c0YwyLIrcNc8uGik10AozoqwQwdJcoXSRa3a+gtjT873L8hicCccSeE4xjVTqh+mXXJs0VzSjjPGqR73k0kskSSYRQJgVRQFxljNaCdg3XmGqUWKs7jNe8Sl7zgWJX1rrQbFBlCkWOhFLvYSn5jqMVDxGKh4TtYCyVzyT7ThjvOZTcp+7M23111wZkb1UWWhnOvZqMWpFPCo+zixSrRadziRInU28GvzTF41X77t6HZxy25X9V44/2P8qzYszwtomZbp1dWesQVGbDKbAwGAwGAwGg8FwadH63CpEEATcd9993HfffWfcZ8+ePaeNep7Kq171Kv7pn/7prPvcfffdg9HP57qWjcaxrUJEsS32jVd57HiTw8shrSgDAcMlhyTXZLmkqzS6PybpuYJuXGR9CQvAQuWSXBZOMJvi383Mmuy3fpmB0qBlP4ssl3RSiYVAWAJrPuyPiGqSvmC22RAUY6CFKGZRDVwqfVHMsQVxpih7Np5jYQvB7rEyDd8jcK1Bdtj37xnGtgXfm+0QpZJ64BZlCVJxZCnk8ekWY1WPRuBxvBkz045Y7qX4jk2j5NBNHGqBTeAVX3O84j0n8UuIYqy4k2i+N9vh2HJE1s9yO7TQY7YdsRRm7B2tkCtF2XPYMVQikRqlJI5tUfFsGIhVawWsk1+neNw6Sc6xZkSrlyG1xrGKzLndoxUagbtGjFp5rFfWuXJ5XRFMFAUPhxe6TLcS0lzhuxY7hgL2jtfWLZ8wbA42tWzzgQ984LQa6RtuuGFQTR3HMf/6X/9rPvvZz655Z+fUOuuthlSa2as8Yw1gd19YO7JohDWDwWAwGAwGg2EzU/FsRqoeM62YqUZAyXNwbYuRikc9cEmznG4q6UQZiVRk/ZlORxZCp21ZCCySLCfKTrrUNruoth4ayPXay0r2P5OX//xN9FtIS66NJUS/adVirOYxVS8VWWKujWXBUi/Fty32TVQZLnv9lsni9pYQ9JKckm8TpYrxagBALy1GURslj+UwpeLbbB8KsC2LwCkKGpbDFNuCRuByw1SdE82QVn/c1bEEL9xWZbzmc3Spx2IvJc0V9VLRcjlS9lkOU2qBSyfJmG8naKUZKrtcP+HRijIm6wE3bq8XYtIqB5djW1Q9B8ta677SSvM335vn6FJIxXfYNVLimvEKc+2Y+U7CTDNkuOzwA9eNMVzxWe6lzLViclUIYyNVjz2jlXOKV60o43tzXZJMsW2ohOdYpLliOUw5uhTS2NF4zgJYK8r45uFlDi320JpBicTxZsRcJ+W2a0eNuLZJ2dTCGsCLXvQivvzlLw8uO87JJb/nPe/hwQcf5Atf+AKNRoO7776bN77xjfzd3/3dRiz1kjHbXvkBh9JVPPI9ENaMY81gMBgMBoPBYNjUCCHYM1qhE+ccWuix2E0oexbdOKcZpggBFdciSix6mUQrDaLITCt5DnkuyWROmutN6eC6ElgCfKcQvBxL4DvF6GQmFVXfoV5yCZMcxxK4TpEhJgQ0w4ROLEFr0lxS9V3qFZfJmo9jW7TCjLLv8KoXjDNWDfpjfxBnkkdPtBBacPOuBmW3fy7d357kkpLncP1klcOLIWGSM1z2KLkWM35MO05RWiOEYKmX4QhBvdQvA+iPf45WPfaMlnnx9jq9VJJLNXCAteOcf3x2kX88tMy2RsBCN0UIzWw7xXMsdg2X0Whm2gmZ0nxnusNYNeAFU1V2jxQiVyvKOLwYstRNzyiCtaKMx080+cqTc4SpYkKDRlMPPLY1SoxXAxa7CYKiSOLwYkivf19XhLGZVkwnznnxWYQxrTWHF3v0kpxtjdLget8pWnKPL4dkUnLLjgaeW2TCrTf6qLU+7bECeOxEi+9Mtym5Do1SIVxnUtGOcr4z3aZWcrh97+hVO065ldn0wprjOOvWTLdaLR544AE+85nP8OpXvxooMhNuvPFGvva1r22qoM8L5dhyUVwwVrYRItvg1Vw+Vgtruv+CbTAYDAaDwWAwGK4sSmniXLIyQasBpYvWSHT/cwpBYFsjoBWmzLZjolSxHBbB8Z5jYVkWliXIpUagsbDopQqtNYksjne1iGoCcOwV1xjFiKiAyUbA3tEqZd/iB64bZ994FYBjzZDvnujQS3PiTILQ7Byu0I1z5rsJL5is4doW3zrWpF5yUBRuMIGgHWV005xn57vEWdE42o1yhkuFqFX3M0aqHtdN1NacU2mteXaxyFwbq3rEuUJKjd13u7XjjJ0jJfaNVxmvBRxa6HKiGRNnkkwqmmHKtkaZ8aqPa1u0o4xHjrY4utxjrOxzZKnHcNnnhm01XrT9dEGqUXJ5wVSNQwshcS6JspxMKjxHsHOoQuDaKK2ZqGq2D5WYbsUMlR1etK2OZVm0ooxHj7fOKoIBPHq8xZHFkDTXbB8KyHLNM3NdpILhikfZtXEdwXIv5cmZLlLrNcJY4Npsa5SYbkUcWerx4u2Ndc9Ne6lkqZsyXPYG13WTnJlWxEwr5kQrohPnPHa8zZ6xCrtHyqe54AqhsHeaUDha8XhyuoNjCcZr/mB/37EZr9mcaEqePNHhxdsb1ALjWttsbHph7Xvf+x7bt28nCAL279/Pvffey+7du3n44YfJsow77rhjsO8LX/hCdu/ezcGDB7e4sFY4uCYqV7FdjSJjTYjixWihm655ATEYDAaDwWAwGAyXn1wqFroJz8z36KU5vSQn7Ld89vr/hqmku+r6Tpwx10noxIVQkivN+rF2m7Hj87lhA7ZNIaABti2o+g6TtYBq4GBbgmaYsWu0zA+/cJzRqs/L945S9YtT7lt2NnjprmEOLfSYbkccX4ropZLxujcYq42znPGaj2NZJJlEKoCivMBzLHzXYrjsMVn3iHPNSNlDKc0tuxpUfJeZdsxw2Rs4nZbDlGtGK4SZ5B+eWVpbvSrgmrEKu0cqa0UkcfLf1YUJYZrzzEKXw4s9lNYMV1wm6wHNMOMfn12iG+frjiqOVHz2jVdIVNEAu9hJaJRdfKc415WqGBN2bYuJekCaa8JMUfHEGndYEegvkUrTKLk0w5TDi120hl6SM1ELcCxBmimaUY4WAo1GaYXnuiyHKa0w50Qr4oVT9XWf4+Gyx2InpZfKwfO2mrz/ve45Re5bN8l5eq7LUi+lHacIoOTa5FIx107IpV7jgjubUPjsfJfZdsTu0cq6axsqe8x1YtpRZoS1TcimFtZuu+02PvWpT3HDDTcwPT3NBz/4Qf75P//nPProo8zMzOB5HkNDQ2tuMzk5OajTPhNJkpAkyeByu92+HMt/zqw41ibKztX0u+g0Atdme6PE8WbEocWeEdYMBoPhMqK1Jo7jjV6GYROz+vvDfK8YzkUQBGba4Crhzo/9zRVvktxqOEC9JEhl4d4reTa+bVMNXEZrPoFr045SamUXC8HhpZDrJ6uDET8oRmm3D5XY1ggK51MvYboZ040zvjPT5thSj2snalw7VmW6HfPMQpcwlNiWIM4zpBS8YLKO71gs9RJKnk295KLQTNVL3Li9zpGltSOT24YChsoe3znRBrFKV+s3m66wWvAZq/jkJcVcJ2G86tNLMqRSzHdiTrRihsou2+qlfkOqxfahMvOdhMOLPaYaPjfvGFrz2lDxbEZrPtPNiPGaz4lmhGsL0lwigU6UMVH1iTPFWM3HsQS5VPRSWOwkBI7NTCtioZsQZxKpwRGCwLPpJjll32Gs4iOVoho4HF+OcByLuu+SKUWUKqiAJQSOLWjFKa6z/muXa1vkSpPL9U/CVwo80lzhOxYzrYhekgNFu2295JFmkolGQDfO0Wi6ccaRpR4v2lZfd4x0xS336PEmzTBj98j6nk7Rd0UaNiebWlh73eteN/j8lltu4bbbbmPPnj18/vOfp1QqneWWZ+fee+89rRRhM7HasZZ0NngxlwEp80EBxZgvOQ48Ndvm5deMbOzCDAaD4SomjuM1v1cNhrPxUz/1Uxu9BMMm58/+7M8u6u9xw+ahehncL7YlsMXJz7XWJFs4W822YapeQQhY7KXkSlENXOqBSyYVUd/R51gCCzi8KFjopLTj/DQHlxCF063qO9QDlydm2kzUAuJMc3w5RKOZrAVkUvHNw8vEWU7gOewZKTFWLdGJi1bNwCmy2QLX5omZYvTw5h2NNdldZdfi0ROFieT2vaMDx9fKKOhMO+bwYhelNIvdhLGqj9Ia1d9nsl7i6bk2nSSnHeVoBYFjY1mCTCpk39JWLzm0oozjyzHXjq91e63O5lsOM5RSPDnTATSJVLjCQqHZO1phtFKMWDp2IR4+Pd8jlZLjzYhcaiZqPhP1ANcuxkRbUcbO4RLbGyUEFtsbZZ6a61ISgkwpLCiKBXopILhhqkaaSVpRxkj5dFNHJhWOJXDs9ZtIVxd4NEourTAjcC0WuglVz6GX5gz13XgiELR6GSMThQtuvpaeNka6mu1DJb59rMlMO2Hv2Ok/k8u9lOGKS92UF2xKNrWwdipDQ0O84AUv4KmnnuJHfuRHSNOUZrO5xrU2Ozu7bibbau655x4OHDgwuNxut9m1a9flWvYFs+JYG6/YHLsKhbXFE0f4zONNXtAs0elZgM03njjM/3bbNRu9NIPBYDAYDAaD4XlFPTh5Shi4FhXfoeI5VHybslcEsFf8VZf94jrHtji+FJJKxdHliDDJ+2KRw46hEo5t8cixZebaMQvdYiwu36LKmiUEZc9mqu8266XgORbVwCZOJAu9lEwq6r6L71jkUvLt4y2k5oxNjq0o47ETbXpJzt6xKjuGyxxdCjnejDi2FFH2ba6bqNGJU6abMcthRjdRLHQSNIp6yUNpTSrV/5+9/46z7KzvfN/Ps/JaO1cOnbsVaSVLIEQyNjoI8PiCzXANeMbxBWd8gANHdxxgCAP2DDa2MdhmrDEzOIzR4PGMjY8D2CAjA4MAISSkRupW6NxduWrHldd67h+rqlTVXZ3UoarVz/v10kuqqh2evaur1Pu7f4E4zXnsaIuSbay6r26ULoc5Qgg8a/XL/4Zn8dR0l5l2hBCC6U6EIQS2qdEJEibjgDSHPAfH0slkMYtvsh1SXWx/BTA1bXEZQr5mtVfNNdk9XkMDHj68QCuI8Cydkm1Stg1sTQcEzSBm51CZLMt5cqpLM4hJ0hxL12h4Jt0oJW2GbGq41FxzsQUzIUqKJQyb+4pFBWGSEkQpWS6Jc4kmBFv6Pa4bqbJ3ssN8N14zWFvwY0brzqpKw5VWhoTHmwF+kuFZevG48xzHMugv2QgEhqaRyhQdQZjnhEm2qo30RFXHZLTh4oc5s92QimMWt5HndMKENJdcM1Jbs0VVWX+X1Xel2+3yzDPP8K//9b/m1ltvxTRN7rvvPt74xjcCsG/fPg4fPswdd9xx2tuxbRvb3rhth8utoCWdo+t8loulf3QLm3Zdz7S1wP6nZjneSdf7SIqiKFeM7s1vQWqX1V8BlEtBSsgX/3+sGYt9J4ryLJGnlB/57+t9DOUC+8RP3EyaSzphgqUvbazUlv+tC4GuC3Qh0DSKjxcDlceOtTgw02WiGSAFWLpebIw0dY41ffo9i7afkOVF66EmL79JNyULLF1jphchRbEEYLtr4lk6uhCkucQ1dfpKFlXXxDQ04kwy24t4+HCTimPy4h19Jy0VODjbfbZKDEnZ1tk24FGydR450sQxNe7Y0Uc7TLn/yRmON32OzgXk5AxWHECQy6K10zJ0Fvz4pMH7J84EO1GU5jwz3SNMMnYNlbEXq+BaQcyxhYA4zdkxVGa+FwMSXWi4ls5sN6Jk6ViLZYlJniMptmPqmigCsBUbL4UQVB0Dz9a5ZUuDHYMlelFK1TEQaCAkx5shjinYVHc5NO+TZTljdZfvHWkyVCmq1CzPYsGPmetGOGbxfAVxymQ7ZPtAmaprsmOwRDdK6EUZC37MUMnixk01Rmte0R5bc7AtnYlWcNI8upJtnDxz7gRLIeETGhyZ91nwc7Isp+ZZjFTd5fAyzXMMIcgo2nIdU19uI3XMk4O7NJfs6C+TSclkK6TtJ8/Ow9PgutEq149VVQv+BrWh/1b9b//tv+VHf/RH2bp1K8ePH+dDH/oQuq7zlre8hVqtxs///M9z991309fXR7Va5V3vehd33HHHZb24IMslx5tLwdqG/vZcEHWveEdloquCNUVRlEtFagboqpVAWcvaLSqKAmq8z/NVf7koOBiuOud0PSklA2Wbp6c6zPUStvYX7XhhmjHXi3EMjXrJhDlBmueYepHXR9nFeBQXh6VB3bUoWQamoRcbGstFGNONMxqlov2v6hpUXYuqY+LHKdWSARImmj7fOjDLC8YqVN1nf78ebwY88MwcYZJzdCFAUsz1snSN2W5M048RCGa6MQu9mCgpBtw3w5iKY9IJE+JM0pfmGLpOf1kgKarZVg7eXzkT7MQwR0rJ0QWfLJcMVRw0IdCEwDZ0qo5JJkHTBLPdEEPTqJcsmoHPXDeiahfVVHEmcTRoBymagJpnsH+my0IvWbXxcmt/CV0TLPQSdg6WSbKcJybaHJzrEcRZETzZOu0wZa5XtEz2lWw0oWHoGt0ooWSbGJrANjSONQOuGq6wpVFiphdhG0VQVndNBivFvDXX0hlruOwarDBQLir2JloBWwY8tjQ8Dq0xj25LX2nN6sIT1VyTF23rQyA4tuAzUrPpBOmqisBOmDBQsQnjjLGGy2DZYmqxjXTljLUlC368fLaDcz2Ot0KiJMc2NcbrDlv7y2d1NmV9bOjk5ujRo7zlLW9hbm6OwcFBXvayl/HNb36TwcFBAH7nd34HTdN44xvfSBRF3HXXXfyn//Sf1vnU52eqHS7/cDectd9ZeD5Z6jGf7GZIKVUCryiKoiiKoigbXCtIODTXY74bk+SShV7MRCvAMjQsXaPimDhVG88ycQ0BOYQSxGWWzgoBCCjbOp0ww6naXD9WQ9MEeyfaPHq0xXQnor9kghC0/ISSo+NY+nLF1MKhmG+P1njhYkvokQWfv3/0OI8da9HnWSAEnTAml9BwLSSS/rLNXDfkm/tnsXSddhDRi1NsQy8G95s63SghyXKGyhae5eBH2XKl2JKlmWATzYC6Z62arxYkxeyybQMelq4x34uxy4ubOiVUXB0pi2JmyxB4ZtHm2wpyTKOoxOpGCfO9iDSXbO336IYZ3TA7aeNlJ0zZ3OeS5kXr6sHZHgfnunTCtKj28yz6SzZzfsyjR1vFa+GSRdU12NTw6EUJcZIRIBFA2THY2l/CMjRqTnGZmU7EnB9j6qII5AzBVUMVGp5FlK6uSKu5Jje45qp5dEuVdWeS5zkz3ZgwyegvWyRZxmw3JogzpjoBmhD4UYpl6ghZzDDc0ldC07TlNtLTVcvVXJMbXZOdQ+d+NmX9bOhg7XOf+9xpv+44Dp/61Kf41Kc+dYlOdPEttYGO1d3lEuvns6pjIpCEKUx3onN+p0xRFEVRFEVRlEtn5QbJhmcxbrg86ZkszEWUbZvxhkvZMpj3Y44uBIRJhmFAFF9+VY9ZDn6Usj9KqVgmVw+VCdOM+W5CK0iRQC/KQEhyWbTzzfYE7SBhrO7S8CxmuzFHF3zcYwZb+lzu3zfDdDtmsOJQsjVmOjGdMKXh2fTilCTLsXRBmEiON3tIcnpRRsk0iLOcREqSDFzTIMlyXNNA5sX3peZa9KJ0VRjTKFl870iTPcfbuKaObRRz9PJcYuqiCH2EIEiene1VvAoVdMKE60YrXDVcwTF0XjBe5Xgz5OmpNgt+wnwvZrjicPVoGYFGJ0zW3Hg50QqYbEUEScqhuR7HFnyQgm0DZdJM4scpx9shfWWLNM9p+xkjVQfX1Bmp2sx0oNIwyPKixVLmkqprcKwZIKUE6ZPmEiQMVGyuHa0SJhkLvYTZbrRmRdrSEolzcWTB58EDcxydD4hTiWUI+ssWQ1WHOMvZO9FmvpdgGhqDJQtZddjS7y3f51Ib6VIofapquedyNmV9qe/WBrO0EXRT48rYsqRrAs+AXgoHZnsqWFMURVEURVGUDUpKyaG5Hr0oZbTmLrcTOqZOw7M5shCy0EtwTJ0wzXhmuksrTKnbJnGcEK/3AzhHUoKuaQRJTiZzHjq8QF/JxjV1DF3QV7I4Ou/jRzl9JYGOoBsWQ/NzCSXLwLN0NvV5dMOErz/tM90O2TXkcbQZMN2JCKKc/pJNkGaYQtBd3HbpGgaupdPyM0xDI8szBGAIQaNkYghBmGRkwIKfMNsL8WyDx4+3MXWNvrJFo2RxeM4vBuHrgiDKCJOM6U5ExTLoK9mYusA1DXYOlploBbT9hHRxo6ZtaFw1VGVwsV24gslA2aZiG1Qcg6uHy9QWO5AeOrhwyo2XDc+iEyZ0woTjzRBN0/CMYsabLorA6ch8QNU12NJweWKiszw3baTm0osyOkFG1TXoRRk1z+T4QrBYmGFTdszlCrkFPwZiXjBWZeeQdsGqvopKwwmafsJozcG1dII44+hCyEwnYqTmsHusRsk28SwNKQVBknJ4zqfqmKvCtRO3t17oijQp5UW9feVkKljbYJYq1opg7XIb7fnclA1JLxUcmO3x4h39630cRVEURVEURVHW0Iuz5S2TAEGSMdmOiBZneDU8k8lWiGNqdMKUfLGXMMhzpOCyK1nLgGYvRdcgTjVaQUqeSeI8xzENOmFRtRanGTOdGNfSsA0NISRzvaIS7ZbNdcqOQZxIDs8tkCOY6kR0g5SFbsxsN6K/YlO2DKI0ZcFP0HWNTX0eU62QTIJn6RiaxkyneG6zLEfXi2H4fpQw1Q7ZOVjmmuEKfSWbOM2ZaAZ870ixPGHnYBmJZLYbcbwZoGkaLT+mFSb0ooQbNzco2wa7hsoESUaWScqOSZLlJFkRxq1sWxyo2Owery2HRU0/Pu2SBFPX6MUphtBwTI3vH2th6wLN0NARCB3qro2paUgEjbK9HEaUzQAAf5lJREFUPDet4VlsGyhxdKHYmGrqgrJlkGSS4arNzsHK8v2srJA7suAvLnI4/8gjz3MePDBH00+4evjZ+6s4GmXb4H8/PcNML+Q114+QyWJWnWFq1Esuk63wpKUSF7MibWWb9olz7tSMtotHBWsbzOH5omJtc8MDuut7mEukbEqmQtg/c2U8XkVRFEVRFEW5HJ24ZTLNcmY7IVkuGSzbpHlOKTJoeCZNvxhgLylmduWXWai2JAXSHCI/JUjyItiSEtvQyHJJnGZEGWS9mCDWsAwNTQganrk8D8w1dJI0xY9z/DjFMXVqrsVWXSNMclp+gh9mZLkkkxLXEByaLQb798IY13ZJMknZsdBF0fXTCmOEhHaUsrnhctf1wwyUi+4fx9SpexZ7jrcxDYFE0osyjjdDgjij7hnYpsZ0O2CuG/Ot/bPctLlBw7PQELSihM19Hlv6PRYWlwms1ba4VBnVi4oW1ijJcK3VEYNE0gpj/DijGcQs+BHNIEZKgaGLxTlpJnpZkEpZnM8xuXqkwmw3Wr7v4YrN9kGP0ZqHbWg8fqxF2Vk7KGp4FnOdeNUih3O1suprvhdzZM5ntHZyd1UziOnFKceaKX+TThBnEkODoYrLjgGP/rJz3mc5Wye2aZ84525lGKpcWCpY22AOzxXB2pZ+D+SVETRVF3+2n56+Mh6voiiKoiiKolxOThWgJJkkjDPKrkmSSbpRhmtoHG8GNIMEQxThm9BA14qZZZezXpITJDmaRjE7ThPEGQggkSDjHCFzdF0jTHTG6xaeZRCmObksQjhdA0MrljyYrsnmPpdWkNCLM6YXq/0cQ8OPi2UEYSaZ7UQMViwModOOEhb8GCklaQ5lS+eWrQ1KJ4RMWS5xTR0/zPDjjIlWQBAXywKOzAe0/JhukrG55tLyE/ZOdtg1WMLUtVXh2aa6u2Zb4aoFFlnO5GKV2A3j9eUAqRsVg/oPzPZASvYcaxKnOTXXpBumGLogSXOiLKPdi7E06IQpO4ZKjNYcRmvOmvfd9GMyyWkr5NJcrlrkcC5OrPqa64YcbYY0Fltil/hxypH5gG6Y0gpinpnOEAiiLGf/lM8z012uH6uwdaB80lkudLvmiW3aS1ZW8Z1YOadcOCpY22CWKta29Hkwt86HuUQqZvH21dOqYk1RFEVRFEVRNpTTBSimLrAtnTjN0EyBH8VEqWS6HQGQSYmmCbIs4/myly0HZF78EyFXdbemQCcBJ89xzaJN1NIFWS5p+jEV28A2ddIcFvwYz9JxLYNmkHBswSdKckzDpBmmZJnEs4utni0/phdl5DKjFcR4lkHDtdjUcGiUbExd55npLjuHysuhlq4JbEMjTHN6UVrMTsskj0y1aPkx2mK4EqUZJVsnTDI293ls6vNWhTxrtS2uVRll6BqPHm3y7QNz3LSpjqlr7JvqMNOJGCib5FKS5JJunGHpEscyEAI8S6MdxrSDlJycF9k6W/pKy/e/VpWXoWtFqLnYgnyiJMsxNIGha+ccYK312FKZL84M7HD1cBXPMpBSMteNSLIiuFzwE6zF2XZ9uqAVpMz3Yh46uEAuBa+6dmjVfVzods0T27RPdCGq+JRTU8/oBhImGZPtEICt/SUOXWHB2tLWoLV+OSqKoiiKoiiKcmmdKUC5arBM2daZbkccbfaY7yVMdyL8KAXE4gbHnCSH+DKvVltJUsxfO5Uwg+lOCsLn0LzPQMWh7hmMNzyCpKj8MzTJ0fkeC0FKy08I45w0z/GjjDQsKss8yyCXkmJUnaRkGlQdj80NF8PQGak66EJQc03aQcpkK2DnYBkhBK6pU7INmkExw7sbJeyf7dEMEgZLNr0kpWwaJLlEyyBMEub9iGtGKqcNnk5VGTVQtnnR9n4eO9rkwGyXJM/phFmx4MC1eGKyhWMZpJkklRJLE5imRhDnSCmI0wzbWFyIcIZwqWQVgeNkK1x1hiULfsxo3SHNch471j3rAOtUj2206rBrsMwTxzv0lyLchk6UZnTDFMfQmO5ECAEjNQchiiq6qm0sPgcJh+e65HnxA3Cx2jVPbNM+0flW8Smnp4K1DeTIYrVaxS7mEhxa5/NcKrYGZUvQjSXPzHR5wVhtvY+kKIqiKIqiKFe0MwUoDx6Y4+EjC7TDlOlOSMtPmGyHdKMUDRDIxeH3V8pKtmcJiuBtoRfT9iPaQUzZ1mkFxdy5dhBzrBkutpNq1D2D+V5Emmf4MQhNkGaSIErJJICkbBsM9tlcN1qlUbawDZ3ZTkSYZLSDhKpr0vITgiTDswyEEDimxnDVphMkHG+HLPRiGiUbP81wDIP+SrEkYKYTomuCZi85Y0XT6SqjyrbBzVvqHGsGZJnk2mGHumfSjVLiNEcHBis2YZzTjVIcS6fqGgxVLNJc0vBMbPPMEYUQgq39JTphurzgYOVyhZJtUPcsvn+8vRxgmbqgHaQ8M91luh1x27YG9RMew6kemyY0XjBWY7oTsud4C5mDpsFsN2TBj9AEDFcd/CTH1osqxjSTdMKEvpJFmORMtSOqrnXR2jXPpYpPufBUsLaBHFoxX+1K6nsWAjZVTfbOxjw9rYI1RVEURVEURVlvZ2otKzk6vTjlhvEK3zuSM9UKcQyNNNWRUhJnOTK/8kI1eHb5aZrBeMPDjzOONwMGKjadIMaPdIIkwzI0tvaVSLOMxyfaJClATs2ycU2Bn2R0g5Q8l2hCo79kMVR1SLIcP86wDZ0kz9E0QSuIyfKitTNMi+9dxTW5dWuDowsB8eJ8uJqU1GyTmmdiG/ryeQ29WMZwpoqmM1VGWbqOoFhMUPNMhBDoWrGkwNAEEkF/2cI0NIarDiXLACGZ7kRUXBNLP7vXwTXXZPd47aSWytG6w5aGx6F5fznA6kYpRxd8Wn5CKiX7Z3t0opgfvmaY2oo/36d7bCXbYGtfiWOtgG8emCXOJFGaUXF0PNtguOIQZznzvYQ4KxZRGJqGqQuklGS5vKjtmmdbxVeynlt32IWeCfd8o4K1DeTQyvlqV5AsS6nkXcDi648+zRY5ze7duzFNtbFEURRFURRFUdbDiSGDRBIkGWmac3jBp+OnJLlkppMw2Y6Jc0nZMfDjnDDJyJHEl+km0AtFAkGU0l92sHSdkZqDH6UcnPcp2QaWrtEKE8IwJUklugauaZDJHNe0MQ0DDY12GJHlxRKIQ3M9oiQnQyIAKeGGzXX8KGX/TJdvH5gHCTXPxNI1FvyEsbrLDZtqaAI0Iah7JoauEWfF/LWSbeAYGkKcuaLpbCqjbFMDyfJlXFOnr2RhGfriltAUXSvaVREw2Qypl0y2NjxM4+yDn5prcsN47aTAZ2WA1Y2KKjU/zqi6BqZeLI7YP+NTcRZ44ba+5dbLUz22pdvoRCkjZZvaUBFKFhWaCd0w41groOqY2IaGZ+mEaUbFMmgHCY6lo2viorZrnk0V38rZdefiYsyEe75RwdoGstQKuqX/ygrW5o4f5ojvgLOVbxxsM7n3Ie4GbrnllvU+mqIoyvOGlCte3WTJ+h1EUZTL14rfHat+pyjPSytDhjSXTLQC2n5CLykCnG6YoguB3vDI85yyqZPkGaah4UcQJerPiCbAT3PqnkWQZDiGzlDNQSABwUIQE8Y5liYBCUIjl5I0hTQvFj9IJJZeBFDNXkwnyBipuxi6IIwzFvyYows+vbDYIprnkoZn0/AsSrbBZCtkuh3RX7K4drTGkQWfOM0J0gwdQcMzqTgm837MYNU6Y0XT2VRGjdcdpISpdsRozV0OfQ7N+Uw0fSDHEDqdKCFOcwarNpv7PLYOls65omqt5QpLAZapC44u+PhxxmDl2Y2enmVQc3M6QbKq9XKtxyalZLIV4Mcp3SjFtU2uGakhEAxXXfYcazJvpRxv+QRxRtU2aafpcuiZ5ZLxPo8gKcLEi9muedoqvr7nFoJdrJlwzzcqWNtADs31ANjaV1rnk1x6g7UKkxGEwmFo8471Po6iKMrzThRFy/9d+d7n1vEkiqI8H0RRhOddWW8GX2mWQob9Mz26UUoQp1QckygvFq5NtcLljZbHWwFplhftfkKSy5x0vR/ABqALqDk6IMmynCDJ0BCULIM4yylbBmVLUHF0Ds2HxFlOlOUICVGSomkaUgKiaAW1TJ26Z9H0YxxLx49Tqq7BvuNt4jznqsEK2wfLJIstiWGSs3OoTDuISfKcPs/E1Eu0ggTP0rENHV3AofmA8YbDNcNVhBCnbfs7m8qorf1lALpRtnwZzzS4YaxGK4gRccZIxcE0dTxTp+6ZbO7znnNF1YmWQuH24mKIqntC8JbnGKKoulrZernWY0uznOlORC9KSTPJjoESguKMnmVw9XCVOM2Z70Us+AlhkuKZBqZRLGSouSbDFZej8yE7BisXtV0TTl3F91ye11PNWbwQM+Geb1SwtoEstYJuvcIq1gA8rfhf74Ifk6s3txRFURRFURRlXQkh2Nrn8b0jTY43Q7b2eyRZzsHZHjPtCFPXioo1AVLm9MKErtCQuSRQqRoAug4TzZBOtEB/2ULTi6UEC35RTbSp4RGlOWXbpO6ZdKIUP0zRdIEUgijNSdKMbpSjiZzJVkSS5vhxTjfOMAR4toFjajhCZ7DioAmBbegMVnRmOhGTrYDxukvakdiWDqKYfxZEGa2gWHYw3nD4wWuGqHvWWbX9nW1l1ImXKdkGP3rjOHO9iCNzAZ0oIZAS19LQtZOrtJ7rXK+lUPiZ6S6plJgnVIB1woSBik3VMZnrxqtaL098bM0gwY9SBirFXLjqCdVZVcdkS59HEOccmO2Q5hAkGWEqKDsGfeViJt5EOyTN8ovWrrnSWlV8z8XFnAn3fHNlP/oNJMslR+eLVchX2ow1AEdkmLogySRd9T9iRVGUC862n22B6Nz0ZtBV2b6iKOcoS5YrXlf+TlGev3Rdo2/xxX8QpxxdCOiFKSVLRyIYqNh0g4RcCoJUAim5fHZ4/5Uuz+HRY21cS+f2nQNsMwxSLUcIgR+nHG8FjFfdYjNm1aE708UyNTRRBEFZnpPkEsjJpGDvZHFbmxoe1w5XKNsGhxd8HEPDTzKSLKMXF2GnbRQbN1t+wkjVwTZ1rh4u0/QT5roR3ahoVxyqulwzXKa2GKqdbdvf2VRGrXWZLMt57FgLKaFsV3BtHV0Imn5x30v3cT5zvZYqz6bbEftne1i6hmcZpHlOJ0xwTJ2aa7LQKyr5dG11kLXy3C0/xjY1XFPn4EyvmCG3Yg5cnGUkmcSPE0xdo+oZ1BwTxyqC51aQ8EyckGQZcSYZLl34ds2L5WLOhHu+UcHaBjHZLkp/DU0wWnPW+ziXnBDQX7KZbIe04iu7jFRRFOViWPXup26qYE1RlPNypbf9XCnSLMc2dcYbLk0/IYhz6iWTXpQSZZJemLAQxERJhq0L0lzN31tiAKZRVJGBYN9kG1MXbGmUGKk6hGlOkkqEgE6YMVC2WehFtIMETQiQ4McZUhbhl6YJgjjD0DW6YYKUkv6yTSdKme9FTLVCSpZRDMqnqJZqlCxSWSydMDRBX8lmc8NbMwx7Lm1/Z1MZtfIyUkoeO1YsEtg+UF51ObdmLN/HlobHnuPt85rrVXNNbtvWoB3GHJj1qblF+6dnGyDh8KzPTDdisGyzf6bLtoEyVcc46bkpWS5zvZiJZkDVM5nrRtjlIljz45SnZzrEUcqRhYAkzxltuFQcC3uxSs6zTJ6Z6TLbjTGEXD7bubZrrsdWzrNZVHE+M+EulI2wsVQFaxvEgZlivtqWfm/d/2Cul4GypYI1RVEURVEURdkgll5YJ1lRtWKZGpahU3JM9CSl2cuJkpwccC2DVEriJEOQk2bFm+dX0g6DpVcxll6EJ5ausaXfwzJ0JpoBxxeKDiVNwHXDFTIpGSjbCCEYqdqMVG2+tX+OuW7MTC8CKRmqOlRsg7luEaaRFyHCvuku4w2XJJM0g6RYepBLKo652G6a0A5T+ss23Shl++JigFOFYZei7e9s7mO2HeFH2QWZ61X3LF517TAPHlqgEyQ4psZ0J6IbFi1SwzWHLQ2PqXbEVDui7BjESX5ShdxS+2aQ5OiaxnQnQEjB/rkeeS6xdQ3b1KmaFvO9hCjJGSg7aBqESUbdM0hySSvM6K8UZzuXds1zrd67UEHT2SyqON+ZcOdro2wsVcHaBnFgtgvAjhOS+yvJQLloKWgnKlhTFEVRFEVRlPW28oV1zTUxhEDmUHct5nJJlEY0PIswycilRCDRNQ3HEiRJRiqBbL0fxaVjAK6lUXUNXMvE0ASeZWDqGgNlG8/S6C/Z1F2TKM3RhWC07mLpGq0w5ngrIJcwULWJm7JouZXQCVNMQ2AYBmGSYUmYbAZMdUIW/Igkk2wZKONZBu0gWdx6aXJwrkue5+weq5xxdtelaPtL0oxOlGDoghyJa+rLiwCW7qMXZ/TilOHqyUEOnHvAV/MsXritj4OzXb57aIHZbsxg2abmmYzUXMq2QTdK+faBOTxL56ZNdWxTP6lCbql909AFE82AA7NFqLZ9oISmwZGFANvUEEKw0IuZ6YaLG1cNskwnowhUz8bKYMyPM/bPFFV+Z1O9dyGDprNZVHGhFk48FxtpY6kK1jaI/bNFxdqOwStvI+iSpWBNVawpiqIoiqIoyvpb+cJ6aRNl04+pugYznRDL1IgTudhKCLoQJOSkmSTOIHueVauJFf/WxLOPbymKqnoGFdegbJvomsA1dbJcomkS0xDYpoGhCTY1Sjw51ebAfI8gzZA5fH+iTbMXU/Ms6q7BfDcmyyWpBMfQyKXEMXSQoGvF7K6JhZBGyaRkm0gpGa7aBElG20/oximuYTBYtdk5VDljwHCx2/5aQcK+qQ4HZnoc0QM8U6fqmYwuhltL9yGlJEpzojQ7Zfh2rgFfzTXZMVheXMJRomQbxe0KgUQy0QowNIGpaUhAE2LNCrkbxmvsGCzT7MU8eGieqm1Qdk38KOWpqS5hkiKEYLjqkOSShle8vs21nJJl4Fpnjl9WBmNJlnN0ISDJcm7YVF/+vpyqeu9iBE1nu6jiUttoG0tVsLZB7F9sBd0+cOUGa/3loiTYzwS9WA1AVBRFURRFUZT1tvKFdZpJZtoR0WJ7WztIsOycKDVphcV2xVwWQZuhCfLnWbImKUI0AYsLAkDTNDxDI84ldc/CNYuqPl0v5pYdme9hGBoDno3uFnPXdE3QjTI8U8cSgqNdn5YfU3V1TEOQS4llanSjYnYdsrjzIC2qltIsw9YtBioOfSWTXEoQAtvQ0HWBaxnssnWGqw5SgrfYqne6FsGL2fa3FPh0w4ShqkMrSHAsnbluhB9n7BwsU7YNjjV9giRluh0x3YlOGb6dTcB34mNNsxxT1+gv28UMu0VLQWSjZOHHGVm++s/sUoVcNypCszTLEQLKlsHA4hZWR9fY0ufx9HSXyuKctiQpbmugbNEMYq4aqTBYXrsF9sTnaSkYS/OcOMtJs5xnZrrLz9OJZ+vFGSVLv2hB03OZCXexbbSNpSpY2yAOzKpgzTH15VLcw61kvY+jKIqiKIqiKArPvrDeMVhm22CXR4+0eHqqTSuIaYfFsP0gzsmznJJrIvOcUBQbE5+PhABNE2haUYVWcQwcS6PhGhyaD9FEjqlbdJOEdpSjCeiGKUmes7Xf46mpNo6p8fKrR1jwYw7M+ziWhmObdIOESORYhkbSS7A0QbhYnWXrGmFatN3uHCxTdnRaQcpo3eXakQq6JshyuVwtF6U5vSjF0LUztgheqLa/EwMtz9SWA5+xukfVTXlmuks7SKm6Jq0g5tB8F1vXmO7EDFVshqvaKcO3swn41nqsrqUTJdlJFXlZJkmlxAIMIU7aEGrqGu0w4bGjLeK0aJdNspzJVoCx2OKraRrXj9WKuXZ+QsUxKFk6g1UbPyzaWm/b1oemnToMXKsCqx0Uz2PFNWn6MRMtn11DleUKvpXVe72Yixo0nctMuEtho20s3TjPzBUsSjOOLvjAld0KCkXVWjdKOdRK1/soiqIoiqIoiqIsEqIIbZp+Sl/JYttAmT3H2nTjjCDKyPIcISR+mCI0FgMeMDSIFv9qLyiKry5nEsglyFyi6xqWBpYheMmOPmZ7CZOthCjNmOqEGPpiFZkQxJmkEyVMtkI822DXYJkwyTg67xOlORXLwDV0rJLGfDeibJvM6THdOEFDUHFN+ko2YZpSskyGyjZZLhmtOniWTtkxVrVMwrNVZmmW8/2z2LJ5vm1/pwq0ZjsRQ1UHgLJtsHOozGQroOUnZDlMNUOGai7DVYedg2W60drhW8O1KDvmaQO+lh8vLyvoK1sMlCySVDLfi5j3Y5I8Z+dgZfnyui4wFueijdVd3BPaYJt+zNH5YunEaM3FMjSiJOPIgs+jR5u8aHs/ZdtguOrw0l0DPH68xVMzXRxTI89zrh6tcNu2PjY3vNM+dydWYHWjlMPzPscXAvROiCY0Wn5C3bMYLBfP5crqvY0WNF1sG21j6ZW5fnKDOTznk8vil8zg4pyxK9XSnLUDTVWxpijKc/OpT32Kbdu24TgOt99+O9/+9rdPedlPf/rTvPzlL6fRaNBoNLjzzjtPuvzP/MzPIIRY9c9rXvOai/0wFEVRFGVDWVlRU3FN9k11aEUprqljLw7ZB4EUYGoCz9aoujoaz58XnUvBYA7EOSQyw7MMxusuCI0gkdy2vc6mhotn61iLL/49W+fqoTK7R2ogBRPNkGMLPt98epYj8z5Vx8S1dbpRSpJnJHmODgyVbcq2gaEXCxFGaxYv39XPj9w4gmfrVByTvrLJfDfmm8/MMduNyHJJmGRMtIKiyqzhcXjeX66Eckx91QyxXpRyeL5XbBzl2erE27b3cdu2Brdt72P32Jlncy21MU62Qkq2wWDFpmQbHG8G7J/pEa8IdMq2wc7BMteNVblhvMZ4w6Ni6cXzyLPh22DFIowzshymWxGNkn3aOWFNP+a+vVN870iTuV7Mgeke+2d6pLlkrO5RcUy6Ucrxpk+42KopoGi3zCXDVYcgyeiECX6ckuc5T053MAzBtoHS8nPnWgY3jNcBeOxYkyBJyXJJzTW5erjMXdeP8NN3bOfNL9rK628aO2OoBqsrsFYGi42yhS4EnqXTDBKenurSXUyqF/yY/opFydJXBU1rudRB08W21Lq84Mdrfn3lc3MpqIq1DWBpccG2fo9HHnlk+fN79+5F5qfvw36+GaoUwdr+eRWsKYpy7v78z/+cu+++m3vuuYfbb7+dT3ziE9x1113s27ePoaGhky5///3385a3vIWXvOQlOI7Db/zGb/DqV7+a73//+4yPjy9f7jWveQ1/9Ed/tPyxbV/Zb4IoiqIoV56lipq6a/L0TIejCz764vD3hmsSxsWw+TyTxGlOkklMXZBmRRAFl1e1msbyaLNVDPHs14QUVBwN0zCY6cYIiva9TMJg2cbWdaSAfs/CtXVaYUrdM5dvd2msdNOP6SUpvSBlzo9BwnCt2FypawKhCXaPVbllSwPP1HnseBsQXDtSpVGyqHs2T053eHyizXjDpe6Yy1VmuibO2CI4246YrkTYhrY8P+tc2v5ON0h+rOGyf7bH0Xmf60ary5VmQhQbUzWR4Zg6kmLBg5+kZJlE1wU7BkuESU6c5rSChKuGTl011woSvnNwgQOzPoPlItRLsnxVK+l43WWqI6h5Jr0oXa6qu2FTnal2wJ7jLaR8NkBNsowoldyyuU6wOH9tqc22ZOlcNVRm32SHJ6c61ByTsm0w3uc9p6H+S8FYlGRMtgL8OGOo6lCJDY4sBHSChLKlE6bZmtV7F3NG3ka00TaWqmBtA1iar9ZnJHz8L77C0OYdAOx98EEGt1/P5vU83CW2FKwdbCXEaX7KUlZFUZS1fPzjH+dtb3sbP/uzPwvAPffcw9/93d/xmc98hl/5lV856fKf/exnV338X/7Lf+F//a//xX333cdP/dRPLX/etm1GRkYu7uEvIZGnl9WLG+USkRLyxX4tzSiGCCnKCiJXozquZEsVNZmUTLUjemG2GF5IOmEESIIoQxMQZTkSMGTRCppml1eoJgBTK4KvpRBNAypOEah4toGlC/xE4homE00fIcCzTeqOiW3oWIYgyiS6KGak+Z0U1zbY1OfiT2VMNiPCNMMxNVpBTJRk5FKgAY6l04syFtKE60ZrXDtSoRUWbaSaKJYR7B6vL4df/WWbF5csDs71GKhY3LD4NSEETT9eroSSUhIk2Ulz2J6Z6dGLU5zFraUrZ6+djdMNkndNnbG6w9FmwLaBEt6KzZhSysXKOp2FXszjx1vESTHzzBBieXGBs7hd1TTWDoWWgr1OmFB1DXS9WEqga8VzM9eNmGwHbOsv4Rg61wxXMA191WKDTpiAjBAShAbkkEuJH6UcawbLs9gMIbAMDT/OmGwHTLZCWmHCYNniutEaWxrec9qUuRSMHZzt0fKLxwHgWgabGy5PT6foi+HbdCtix0CFa0ae3fa60YKmS2EjbSxVwdoGsH+mC8BYxSDZvINNu64HYPrI/vU81rqouSamJklywZNTHXaP19b7SIqiXCbiOOahhx7ive997/LnNE3jzjvv5IEHHjir2/B9nyRJ6OvrW/X5+++/n6GhIRqNBj/8wz/Mr/3ar9Hf339Bz38plR/57+t9BEVRFOUys1RRE8QZQZKR5pKSVQzTj1OJlJDJnCRbzOklJEiSvNigmV5GyZohwDCAtHiPIVrcwWAZGpkUWIaOreukMqUZxISZRBfFY87yHF3TEBSVX90oYaGbIgWMNhym2iGtIKXtx8x0o+UNqqYuiLOcRsmi4hhoQiNJM64brXDbtgbNIGGmHaFrgvG6i2utfikvhFhu7VwaXQHPft8WejELfkzLT5YDItMoQr0gyblqpEzdtdacvXYmp5vvJRBsaZSY6UQcbwZsaniYukbTj3lyukOSSRqeyRMTbYI45wVjVRqetararGgNLZ2y2mop2LNNnalWRJblaLpAR1ByDKqOSauX0C4lxXNtPFuRJ6XksWPF6/EX7+wvgsfFirlumPI33ztOkuZcN1alYui0g4TvHmoy70c0PJOBks3W/hJ+lPLYsRZpLrl9R/85hzpLwdhEM2SmGzHecMlySZrn9OKU7YNlxusepi5OWb23kYKmS2WjbCxVwdoG8PT0YrBWNTjUXefDrDMhBHVLMhMKHjvWUsGaoihnbXZ2lizLGB4eXvX54eFh9u7de1a38cu//MuMjY1x5513Ln/uNa95DT/+4z/O9u3beeaZZ3jf+97Ha1/7Wh544AF0fe2/4EVRRBRFyx+32+3n8IgURVEUZeNYWVHjmjqaBgu9mCiROKaBpgkMXZBkOe0gBQkZwGIFkJCXR9WaoDhvmkGaF49BAJqAMMnxLI0wyekECTnF82LpGnXPJEyKgKkbJqRWTs2z0IRg3o8ZqtogBYdnAzQdRmo2mcw5Mh/gWDphCmW7aC8sOybzfkzZckiynCDJqTkWC71iXI69xrB2AEMTdKOUuW7xd5CSVVTYWabGgwfmcU2Dqmtg6hpxmvHkdIfZTswdO/tpeBaCZ2evTbQCDs/32D1WO2NIcaZB8pahsWOwzEDZoheltMOEo/MBhiG4fqTCnB/T8EzyPOHJqQ5XD1eoOiYVx+TQbI+Bqs0POEV4slZokmY5zTCh5cdkWUaQ5NQtizwv2myDpKiunO/G7BourwroVlbbCQSeaYBZBG7HAp+ybRAtzocrWn0T4ixFAEkuaZSLpQ9112KmE3ForsdIzeaG8fo5hzs11+SGTTWON326QYqmZxhCMFCxGam6lG1jeTbcqar3NkrQdClthI2lKlhbZ1JKnpoq0rQtVYNDx9f5QBtAw5LMhPDYsRZvWe/DKIpyxfj1X/91Pve5z3H//ffjOM7y59/85jcv//cNN9zAjTfeyM6dO7n//vt51ateteZtffSjH+XDH/7wRT/zuXAchy984QvrfQxlAwvDkB/7sR8D4K/+6q9W/Rwoyok2+p+Pr371q/zmb/4mDz30EBMTE/zVX/0Vb3jDG5a/LqXkQx/6EJ/+9KdpNpu89KUv5Q/+4A+46qqrli8zPz/Pu971Lv7mb/4GTdN44xvfyCc/+UnK5fLyZR599FHe8Y538OCDDzI4OMi73vUufumXfmnVWf7iL/6CD3zgAxw8eJCrrrqK3/iN3+B1r3vdOZ1lI1iqqGn5MXmeoyFoBSlCgKMZWLqOLjSiJCa2BIbQcC2dbhjTjTZ2qKYDmsbiAoYiRMvz1V+3jKIiL84yjFQQphlVy2Cs7tAJiyUGQsvwTJ08T2iHCWGakWSSmqtTdwwW/AjT0NE1QaNkY+oaYZoTJRmOaeCZGk0/oRkk5DkYQnBwrkfZMRmvu9imBpI1A6xulHJorsd0O0Qiqdhm0dLZ5y1vCxWieIBSQpxK/CjDXQqZJKxcKtrwLOY6Mb3FirHTOZv5Xlv7PV4wWqUXZzx2tAXAtoESQZJxaM5nrO4xXJU8PdNhohmQVnPSHHQd5joRjx5tU7b9NdtUdU2w0I2Y78V4lsFUx2emG2LpBq6lk3YiXFvnupHKSe2QaZaTZDlpntMJ8+UW2SDJaPspOwbKPDPbYaYTUXNN5noxcV5UtKWZpOKYy89v1TVoBQnHFkJ2DBbPm5TynEKu0ZrDD2xtcGjOZ6Bso+vFeZbu42xmpW2EoOlKo57tdTbVjuhEKbomGKuobwcUwRqw/AtXURTlbAwMDKDrOlNTU6s+PzU1dcb5aL/1W7/Fr//6r/PlL3+ZG2+88bSX3bFjBwMDAzz99NOnDNbe+973cvfddy9/3G632bx5fSdmCiFw3ZP/sqsoa3EcR/15US5rvV6Pm266iZ/7uZ/jx3/8x0/6+sc+9jF+93d/lz/5kz9h+/btfOADH+Cuu+7i8ccfXw4Nf/Inf5KJiQm+9KUvkSQJP/uzP8vb3/527r33XqD43f7qV7+aO++8k3vuuYfHHnuMn/u5n6Ner/P2t78dgG984xu85S1v4aMf/Sj/4l/8C+69917e8IY38N3vfpfdu3ef9Vk2El3XcE0DSRHmWIaGpeVYuiDIMjRNxzMElqUtBg82fhyRbdBkTQCWXvyHzMEwBLkU6DqYukRDEmcgpUBK0ETRtulZFp6lY+o6QxUDISBOM3Ipi2BOFkscSo7Jtj4XBGQ5hElWtJc2MzIpsTSNXC+2UwoEB+d7jDc8Nte9YpZXlNH0Y+a6ES/a1odn60y1o1UB1tIWyWPNgK0DLpv7PJJUMtkKme5ERHHGjZvqLPgxbT8hlSlxmlN2DMbrHnGSEyTZqvlnpq6R5pI0W3vL5Krn8Czne2mahhDFMoLRmotALM8uM3UN2xBcPVShFaSMVF2mOyHCNsiloO4Vs+tO1aYaJjlT7QjP1qm7BhPthOl2SJyl5HkR4m1quCe1Q/pxxtGFgDgrQjVDFMsNyrZBKiWepTPe8Ki7Js1eEZhmaU5/xcbQNawVlWOmpiGAKM1Js2LhwoltmWeaXyeEYNtAmW6U0Y1SGl5ReZdk2fN2VtrzgUpy1tmTUx2g2Ahq6uqHA6C+GKztnWwTpRn2KcpcFUVRVrIsi1tvvZX77rtvuSohz3Puu+8+3vnOd57yeh/72Mf4D//hP/AP//AP3HbbbWe8n6NHjzI3N8fo6OgpL2PbttocqiiKso5e+9rX8trXvnbNr0kp+cQnPsH73/9+Xv/61wPwp3/6pwwPD/P5z3+eN7/5zTzxxBN88Ytf5MEHH1z+f8Pv/d7v8brXvY7f+q3fYmxsjM9+9rPEccxnPvMZLMviBS94AY888ggf//jHl4O1T37yk7zmNa/hF3/xFwH41V/9Vb70pS/x+7//+9xzzz1ndZaNohUk7DnWohel3LatD88y+B8PHsJPi6DIMnXqhk6S5+QyodWLQQjSLEPTwMwgWe8HsQaNolXRtQwMrQjO/CRDE5I0K1ojwzQjTiRSSAwNPEND6BoIQX/ZpuGZHJzrYpk6GlD3LEq2wdZ+lyyDwYqDacDhOZ/JVsxw1cE2NOIsX170MFpzcC2dOM/p8ywcU6cTJVRcA0vXCPIMNNjaX6IbZcsBlqEJDs31ONYMGG+4bO0rowsN3YTRmsvT0x3mejG3bW3QX7aWZ4jFWc6BmS62WQziz/LVyWeS5RiawNDPbpnc2c73OnEem64XYVaS5cXSB11H14vZdbmU1D2bMM4wde2UbapplpPJnExKJpshzSAmXZyTVtKLzaqGLjg422O0/uxygZZfLExohzFZDlv6PNJcMtOJmetFJKlkIckYa7jsGCix4CfEWcZMN6Zi6+Q5rHx6krz4XtqLyw0OzBabUhuehWVoZz2/7kqclXa5UysX19lTi/PVrhqqrPNJNo6SAWVLkGSSJyY6630cRVEuI3fffTef/vSn+ZM/+ROeeOIJfuEXfoFer7e8JfSnfuqnVi03+I3f+A0+8IEP8JnPfIZt27YxOTnJ5OQk3W7xu7nb7fKLv/iLfPOb3+TgwYPcd999vP71r2fXrl3cdddd6/IYFUVRlPNz4MABJicnV83TrNVq3H777cvLbh544AHq9fqqN1zuvPNONE3jW9/61vJlXvGKV2BZz25CvOuuu9i3bx8LCwvLl1l5P0uXWbqfsznLWqIoot1ur/rnYlrautiLUkZrxeD8a0cr3Lqtn12DJUZqDkNVm619DoaAMM1JM0mUZERJMdT/hE7DdWNQtHYuncWzNYZrLpvqLsM1mziTRBl0w5xeUixqKNsmVddkpObgWgZRXmz7HCo7bO33cEwNXdMoWzo7Byts7vPYVHfpLztcO1pjqGrT7CXUXIuhqkOa5QRphpSwbaBcDNdfbP/c0udRtgymOyFJJvEsk8GKzU2b6kRx0U64e7zGSM2ht7ixcrodsnXAZedg+aQWwL6yhR+ltIN0eYZYxTHpK1nUPIuFXowhBLq2+ruz4Mf0V6zTthyeqOoYbB8ocdVwmetGK9y6rcHusdUB0sp5bFBsDa16ZrGVkyKcynLwo5SKY9IOUmqeibui9XVlmypAnBVtraYm8OOUNJN4to5taFiGRtk2sDSddphyeL6HlJKmH/PlJ6Z48OACcSqZ7oTsOd4iiFNKtk6rl3C01SNOM0aqLprQ6PMstvR5WIZgtptQdo1VRSDtIEUTMFa3memEyz8vjqmjiWfn1/WiZ89xKkuz0m7b3sdt2xrctr3vpOdS2ThUxdo6e2qxYu3q4TLgr+9hNggh4Jp+i4cmIr5zcJ6bN9fX+0iKolwmfuInfoKZmRk++MEPMjk5yc0338wXv/jF5YUGhw8fRtOefU/pD/7gD4jjmH/5L//lqtv50Ic+xL//9/8eXdd59NFH+ZM/+ROazSZjY2O8+tWv5ld/9VdVRZqiKMplanJyEmDNZTdLX5ucnGRoaGjV1w3DoK+vb9Vltm/fftJtLH2t0WgwOTl5xvs501nWcqlnea4c8L7EswyuHa2SSUmeF22P7SjBNnQcQyPSBHkuyQAth5yNMWctB8zFvwoIAZ6hM1x10DXohMVGTVsHoevksogD41xSdXRu3lzHj3MMXZCmOa5lYOsaNc8kk4IszwmTnPleTNUxGCjbbBsokSQ5jx1t0V+22D5QbMisuCa6KFouDQHtsKjSGm+4jNRstg+VGCg5VF0D19TJJcx2I9Isp+5ZywPq57oREsnmPg9dnFw3U3VMXFtnrhfRKD37/RMUW0SPzPskeY4Aslye1L55ti2HZ9v2eOI8tqVz+HHGbDckTnOqjkk7TGgFCSXLYKTmrjrHiW2qpgZhmhEkKY1SsUxAaBq6AMfUmGqHxHlOf6kI5CZaId85OM+3D8xjahqWqSGEYLIVcmw+oOoaRfCqCQxDY6odYNSLbaZ9JRvX1Gn7RYAXJkVA2vSLx33daJXBisuTk51VPy8rne38OjUr7fKhvkvrbKkVdNdwBXIVrC25bqAI1r57eGG9j6IoymXmne985ylbP++///5VHx88ePC0t+W6Lv/wD/9wgU6mKIqiKBfGpZ7leWL7HhQv+ncMlvHjlP0zXQ7M9+gFKbZZtC7WPJNOkJJk2Yaar6ZRVNAJwLMNRhoOwxWLdpiS5VBxTPxYkOUS19KXWydNTSPLcixdY/tgiS39JfI8LyrVbINOkKILnQO+j2Vo1DyLKM6YbIWULIOSrVO2DeIsxzE1gijFNnW6UUzJKTZ1erbODeM1BqvOqoH1AEmarWrNXBm6VGyTJJXoaxQzpZksqqYM/aT5Z50w4brRKmXHwI8z2mH6nFoOV7YJL7U9RknGwdkeE82QGzbVGK05CCHWnMfmmjrjdZenpjoIBJYpyHzJQNlkS3/ppHDpxDbVJC82pepC4+hCgGXqCBarJIXEM3VMo3g+kyxnz7EWT0y0yaWk5pmYhoYhBPPdiE6U0F822TlcJk5y6p5NJ0yZbofYpo6hCV5+9SDdMOXovM9UKwQBDdfimrEK14/WkFKe9POyRCJJ85xmUGwxfb5v7LxSqGBtHUkpl1tBrx4uE0xMneEaV45rB4p0/zsHF5BSql82iqIoiqIoygWxtNBmampq1bzMqakpbr755uXLTE9Pr7pemqbMz88vX39kZGTNhTkr7+NUl1n59TOdZS2Xepbnyva9pW2UcnFI/2DZZu9kmzhJ8SyNsqtjGyZZJvGjFCk3RqXaEiGKYA0gyzJ0AVPdiF6Y4scZIKi5JrpWLBswdI00zdE0wTOzQdECu7WPF4zXAIr5ZgsB872IVpDiWDo7B8tUXZMky5nrRkzlIYahsaXfI0hyDC1kphvRDRIcW6fqmFRrBlsHSqS5xDNPfpl+qm2QnqnhWBpHF3zG6m4RyK147bS0kXNzw+PwvL/mzK6qYyxvrlxqCc1ySTdKzxj8nNgmDMUyhclWQMtPmOlGTLR8btnSYNtAmZprnnKG2It39jFQdnBNjX1THVp+smbF1onPhakVG1T9JCs2tybFfDUQGFoRxDlG8RiSLOfwfICla9RdC00U8eV8kOAnGWkuOTjnF9tBLZPrRuskWUajZHPVUAnT0JfvtxultIOihbXqFgsPhBB0o/Skn5elyx9v+hxfCOjGKVJKdgyWlp8X5fKlgrV1NNWO6ITFRtDtAyUen1jvE20cu/pMDE0w3Yk4uhCwuc9b7yMpiqIoiqIozwPbt29nZGSE++67bzm8arfbfOtb3+IXfuEXALjjjjtoNps89NBD3HrrrQD80z/9E3mec/vtty9f5t/9u39HkiSYZvGi+Etf+hLXXHMNjUZj+TL33Xcf73nPe5bv/0tf+hJ33HHHWZ9lIzixfa8TFm1/x5sBz8x0OTzfI0xy/LyYS6YjyCg2YwqKF53pOj+GJUKAa2pomkADdE2jahpIKRaH3OtkeU6WgSbA0iWZIbB0nbG6y7+8dTO3bm0sh003jNfY1u8x141I8x7Xj9WWK81sQ8cu6+ybbOPZRRXVrqEy4w2XNM1JcompC+a6MdsGPLb2ldhzvH3azZorQ66l9svZbsyRBZ/9sz3G6y6bGh62oa263lKgtRSgGbq2KjQr2watIOHA7LltsTyxTXhpQ6kfZ1Rdg/GGSzdIOTjrM9ONuXq4TF/JpuoYy+2sa53nulGNPcdazy5p0AXtMGG+G1NxTbY0PIQQtIKEfVMdJlohC92YMMlIc6i6xuJyQI1MFt/nTpQsVuelDFdt5roxC0GCLgSTzYAcqNjF13txjm3kHGv6bGp4+FGKaeirgr6KY1JxTn5eTvx5WXpe9hxrMdH0aQUJNc9iuh0x042YakfcvqNfhWuXMRWsraN9i22gW/s9tfnyBLah8YLxGt870uQ7h+ZVsKYoiqIoiqKctW63y9NPP7388YEDB3jkkUfo6+tjy5YtvOc97+HXfu3XuOqqq9i+fTsf+MAHGBsbW94qfd111/Ga17yGt73tbdxzzz0kScI73/lO3vzmNzM2NgbAW9/6Vj784Q/z8z//8/zyL/8ye/bs4ZOf/CS/8zu/s3y/7373u/nBH/xBfvu3f5sf+ZEf4XOf+xzf+c53+MM//EOgaOc701nWi5RyVeixpc+jE6Y8dqzJ/pkus92IuW7M8WZAJiVxkqFpGnlaBFJBnBBEeTFj7TzPIgBdgJDFjDQBZJx7JZwOGFoxd8uPc1yz2NQodZB5jm0YlB0Dx9QxNAjjnCjLSDLJcNXmRdv6uHa0uircEkKgaRoNzyLOcmY7cRHqaBpJntMOUoaqNhXbwDB0JlshDc+iZJvLoVl/2WZrf3l5+P/B2R6zvQhDCExdW7M1c2X75XDFoeFZHJrrcWC2x+F5n51DJa4aKrO1/9lqqNPN7FqrnfNstliubBOWUjLZCvDjjMFKUVGZ5ZIoj+lECU/PdDk422PnQIn+in3awG5lVdvheZ+JVkAQZXh20Wp8aN6nEaUcnvOZ7URYuoZj6SBgwU8Wl0WYGDqIHFpBjGcZjNc9Hj3aQgjBQNnGj4uWVT/JGCwV38MozSnbOruGKvTilPleRNUxl2e6ncmJ7a51z+TpqQ5PTXXIc0mjZLO1v5jZ1g5SnphoU3ENXry9X3VqXaZUsLaOHj9ebO+5frS6zifZmG7b2iiCtYML/Ngtm9b7OIqiKIqiKMpl4jvf+Q4/9EM/tPzx0jyyn/7pn+aP//iP+aVf+iV6vR5vf/vbaTabvOxlL+OLX/wijuMsX+ezn/0s73znO3nVq16Fpmm88Y1v5Hd/93eXv16r1fjHf/xH3vGOd3DrrbcyMDDABz/4Qd7+9rcvX+YlL3kJ9957L+9///t53/vex1VXXcXnP/95du/evXyZsznLpXaqQfR1z+BrT/Y41gxJs5xumJBJSRBnZFlOTo6UcnnbYbrYBpqdx1lMASW7mFGmAc0wIc1yrBz8s8s5Vknl4pICIElyJprF9s2lllVTF7imznDVRVC0HQoh2NxwuGqksqoVcyl8nOtG5EiuHqkw045o+QldmWIIwWDFYrDiECYZVw+XafrJmu2YAI8dazHfjUmyHCR4js72gfLyfLKV93ti+2WaS2yjCPimOyEz7YidA6Wzek7Wuj1geYvlRCvg8HyP3WO1k4KflW3CuZS0/ISq+2zM0AkTptsRgqJtOF2cS3emwA6KcG1Ln8d0O2KgZNM/ZFN1DZJMMtEM+N6RJhXHZLBso2nF1s2qa1L3LI4t9OjFKaamkUtJwzUZrdnUPRNLLxYVbBsoMVSxObpQtH72kowwyai7xZIJ1zLQNMFcJ8azjeWZbmdjZTB4dMHn+8dbZLlka79Hf9nGs4rnaLCic7yZse94h91jtTUr4JSNTwVr6+jxicVgbUwFa2t54bY+/uvXD/DN/XPrfRRFURRFURTlMvLKV75yOdxZixCCj3zkI3zkIx855WX6+vq49957T3s/N954I1/72tdOe5k3velNvOlNbzqvs1xKp6pcmmgGHJn3yXLJtSMV9hxrUXEtulFKpEEmBWmSkWQ5uhCEqeQ55F6r6ICuQZpnVBybIMkxDQ3b0EAIsiAhOofUTlJUzxW7PkFoxTB619KIsyJEm2qHxKmk4hhkEpI8Z6Bss32wwtb+8nKwtDJ87EYpB2Z6dKOUrX0lxuouWS6LOV2mTpTmpFlOX8lmc8M7qf2xHaZrPucLfsyB2R4l21gVPq3ZfjnTJYhT6p5J1TXohCmH5wN6cX7a8Gqt2zvR6bZYrmx7LNsGqZSYiwGURHJ43sfUBWM1FylhIYgxdMFo6fSBHRSB3+F5n1xKdg1Vlj+va1D3LPYcb2MagjgzkLlktObQjTMWejH24py6TY1icUMrSPjnJ2fY2ldCSsHh+R6dKGGw5NBftjAETHVjSpbGrqES9cXnwtA0WmHCDY550ny7M6m5JjeM13AMjUcONxmtucXG0hMea30xDG0HiQrWLlPnW5V7UX30ox/lhS98IZVKhaGhId7whjewb9++VZd55StfubxdZOmff/Nv/s06nfjcPLEYrNn+DA8//DB79+5F5ufzfs7zyx07+tEEPDPTY6IVrPdxFEVRFEVRFOV57cTKJcfU0URRCVQvWUx1IqI0x48TpJQMlEykFGQZuKZOjiSXRfWUJsA4j642nWdbPtO0aDX14xRyiSZEsRVSKypFzjbuWArUJGCZAsvUqZdtXMugv2QxXLYwDI1enDLbjcjynO39JV5+9eCqGVhL4eNkK6RkG2xquAxVHQ7PBeyf7ZHLYv6WZxXD7Bf8mP6KtTxDrGwb1D1rOaQ61XM+WnPpRSmH53urguJV7ZfIok0yThkoO8VcN11H14pWx7Wuf6K1tr6uZOoaaS7XbIVcanv0LJ2jCz7dMKEdJERpWrQJ53J5HlqS5xhCLC9IWBnYraUbpRxbCDA0gb847H9JlktcU8cPi5BS0yHKigbhimuwrb/EcNVhrO4WiwwEzCze181b6lw9XKYTZOyf6zLbienGKXGSkWTgJ5Ij8z5NP2aqHVCyisUSz6VNUwhByTZwTR3b1Na8DbH0h1K5bG3oirV//ud/5h3veAcvfOELSdOU973vfbz61a/m8ccfp1R6tqz1bW9726p3eDxv48/jCuKM/TPFRtB//Nq3eXzLVvY++CCD26/n4i3KvrzUPJMbNtX53pEmX39qljfdpp4ZRVEURVEURblYTle5lGUSzzJY8COipKjESjIwdIGuQy9MSbMiUMtkERaYuiBLnlvlWkYRzOmLGx97cVYEYwIsQydOi5ZC25QkuURmnPF+JJBkYBqQZpKyLai7Bqau4UcZW/pLJGnO5n6PV18/wmDFprYYgC0FIqdqm9zaXyLNZBEE6XDNcJU0k6dcPHA2zzmsXS22qv0SSdtfXem0MsA6XbXZkrW2vq6UZHkRZJ6mFVLTBN0wZbId8tRUl8GKTX/Zou6ZlJ3ifttBymDFwl28j9MFdq0g4fvHWuydbFO2i5l1Nc9kpOZStg10TWAbGs0gQc5Jwihnxo9o9hIaJQtLz9EFtMOUXpzimjrbB0oEcYapa9yypY+RqsP3jjSZ70YYusYPbK2jaxphKjm6EDLfSxisWNy2vcFo7bm3ZhftqSYLvRi3vsaW015Mo2RSVcsLLlsbOlj74he/uOrjP/7jP2ZoaIiHHnqIV7ziFcuf9zxveVX15WLfVIdcQt3R2DS8lU27rmf6yP71PtaG8/JdA0Ww9rQK1hRFURRFURTlYjpd5ZKuC6q2ziQaQZJScQzmezGuqRMmGp08I5egC4GGRNcFeX7qUE2jWHKQytWfkyxWq2lFqFYsHNBwLYNulGKbBlXXQErohBoyl8z7cVEtd8J9LAVzuQQpixvXFh+apglyKVnwEwQJQkAibSqeyea+EtsHy8vtgCudKggr2wY7h8oYumC6FVKyfCq2uebigbN9zmHt8Ol07ZewOsBaqiA83eD9tbZYrrTgx4zWnTVbIVe2Du8erzFQsfn2wTmOt0JaflJUkqU5Zdug4VmM1NzlgPFUgd3Sbc51I0qmQck20IQoKs6ijJ1DZUpWUdl3eN5n+4BHo2wRZjlBnNENYxZ6CZsaDnXXwI9SNjVcSpZBM0zIcknFMdk5WKYTpkhgpOZiaKJoAc4hzjKOLYTUPZPrRqrntVSgbBtcO1rj2wfmmO2GVBwTQ9NI85xOmJDmkmtGaqcMPpWNb0O3gp6o1WoBxbyDlT772c8yMDDA7t27ee9734vv++txvHOytLhgW12l0qfzsqsGAPjfT8+etnxZURRFURRFUZTzs7Jy6USuqeM5Bq6t41kGYVJs/MxlTpZL8izH0jV0rWjTFBSBlg6YnNyuqYnFsGuFfPFyJVun4ZmUbYOSXVT7VB2DmmcyVLaoOiZ1z6ZRsnAtA9vUsI1n20cNwDag6uiUHR1NgGtqlB2dumfS51kMVVxss6h80wRomgZ5USHWKFmnrM46XRBWtg2uGa6wY7DMjZvq3La9j91jp59vdrrnHNYOn5baL0u2wWw3Is8kUZoRpRkznQjP0pcDrLOpNlt5exOtgDDJyHJJmGRMtIJTVtydWL2XySLUGyq7XD1cxjQEYZJxZN7Hj1JGas6q8Ghli+xat7ltoMRAtWhntQ2dwUqxxXOyFSClpBslmJqg2UvohilBnBJEKVJC2dEZKNuYmsCzi2UUqZSrWlHDtPhejtRcrhouM1CxiZKcMM3QEFw1UqJRss9pacGpnt/rx6pcN1pFSmj7CfN+RNtPkMB1o1WuHzu/8E5ZX5dNJJrnOe95z3t46UtfumqLzlvf+la2bt3K2NgYjz76KL/8y7/Mvn37+Mu//MtT3lYURURRtPxxu92+qGdfy+MTRUi4vW6CGh92SrdsqeOaOrPdmCcmOmrRg6IoiqIoiqJcJKerXBIIXNNgrO5wYKbHgh8jJYRJTi/J8WwdS9fx45Q4LeagmbpA0yBOcky9CNiibHFTqCxCMJ0iZDP0IlSwDA2BQMLyoPfxustg2WL/bA/b0PHjDMeCLXWXWT9hrhdj6DmeDjKXWKYOEiSCOMmLUNA2qDo6jmmQZZKKa2LpGlGaU7I1+koOWZ4TJBljNfuUg+rP1DaZ5pKybdBfts+qAum5VostbZ08ONtlrhtxbCFgsGwzWLGW2yVPd/0TrdxiudbW0rXCwZXVe1JKJlsBfpyxuc9DSslg2WauG2PbGh0/Za4b0V+ySPNTt8iuvE2BYLTm4sfZcqVXydaZ7kQkWU6cSUbqLt0owTY0hqtFMNYOE8qaoBcW4ZxtGhi6OKkVNcslUZrjGBpV12S46hAkGVlWVFxausZcNz5ttd/Zqrkmt+/oZ7hqc7wVEiU5tqkxXnfY2l8+bfiqbHyXTbD2jne8gz179vD1r3991edXrrO+4YYbGB0d5VWvehXPPPMMO3fuXPO2PvrRj/LhD3/4op73TL6/XLFmcFgFa6dkGzov2dnPfXun+fITUypYUxRFURRFUZSLZKlyqROmTLQCGp6FqWvEWcZkK0TKnKpjMlJzkBKCJMM1i/DMEAJ7cUD70XmfVpixVNSVpjlpBroOtgZLxVmmQVHdJsDQioH7cZrj2FoxyN/QCJKM4YqLa8Fw1aETFm2oYZox1Y3QBIzVbeLMpGYbzPox2uLA+DBKmO7GGDoMlGxcS6MVpNiGoB0WYUwui9nOmgB0QdkyGay4p6weOp+2yXN5zpMsP+N8tpprcuOmOoMVh8eOtojSjJGqg2XohEl2xuuvdXs3jNdO2lp6quuurN4LkoyWn1B1jeXHVbJNklyytd9jthsx1S6WPZRt45SB3YkVgWXbYOdgmYlWQNtPiPMcP0rZ1u8y1RFYejE7LUozshx2DJU5vhAy3Q7RDcG2fpeJdsShOZ/xuruqFVXXBEGS0Vc2cU0dgcAzjSIBBsIkO2O137lY+n7tHDq751e5fFwWwdo73/lO/vZv/5avfvWrbNq06bSXvf322wF4+umnTxmsvfe97+Xuu+9e/rjdbrN586Wb35Vk+XKwtqvP4vDEJbvry9Jdu0e4b+80X9wzyf/9qqvW+ziKoiiKoiiK8rx1YuVSM0xY6EYgoZekRKlkW7/HzsEyzSBlvhfhWgYz3Zg8h6ptMFYXlP2IWEpafopra8g8L6rIhIaW51imoN91yZCkeREyREmGEDqOqROlRWnbWN2lv2xwcDYAUVQRBUmKY+pIKWl4Fl6/x1PTXcIM+lybVpgw303oxglpXoQ8YZpRdg36FofpT3ejYmaboWEaGhXHZEu/R8018U4Tip1PEHa2z/nZVIutPM9Y3aVkG8vXb4fpWV9/rds721lfK6v3slyeNOstXVyiUHVNBso2Zdvnhk01+sv2KQOltSoCy7bBrqEyQZLRC1OiLGfXUJl9k11cpwjEHKM4c8kycIyiQm2qHTHTiTF1jUbJwNBBF0WlWpLlNP2YoYqNYxgUzcurnWtIejbO5flVLh8b+jsqpeRd73oXf/VXf8X999/P9u3bz3idRx55BIDR0dFTXsa2bWzbvlDHPGf7JjvEaU7VMRgtX7gf0uerO68bRtcEj0+0OTzns6V/4299VRRFURRFUZTL1VLl0kQr5LGjLbSyTc0xeWa2S9XRiqUFlsGOgRK7Bkt4ll5UCAlB2TF4arqHrsFcL0ZoEtcyEFlOlEkkEs3UyXNJTM5wxcbUdOZ7MTKTVMomjqHRCTMcR2Nz3WGml7AQJBi6YKRmg7SRUhImOfPdGK/f5ObNNRb8lMlmSBAX88b6XQvb0IizIvjphil9JYuxusfOoQoH53qMVR1evKOfimuiCYEfZ2esUDqfIOxMz/nZVotd6Os/Fyur92quibE40802ite4nTBhoGLjmjpRklOxzTO2yJ6qInCpmqzlJ2xquDQ8E9fWCZN01UZUAM8qFiXYhk7VNckpFmAs9CK+f7xN/+KcvrGGy/XjNQ7P+RcsJFWuTBs6WHvHO97Bvffey1//9V9TqVSYnJwEoFar4bouzzzzDPfeey+ve93r6O/v59FHH+X/+X/+H17xildw4403rvPpT+2RI00AbtpcVz+kZ6GvZPGibX08sH+Of/j+JG97xY71PpKiKIqiKIqiPG8Vg+FTDsx2idKMbf0lulFKLqFkG1Qck9luyIG5Ho6hEWeSTpTSDlJu2Vxjx0CJiVZAK0iwdA1NCDB1Yj8hySQ6YBsGWZpSs8tsGSgx1Q45tuBTdszF4MrG0jVs26A151N2DDxLo+7ZZFmOJgQSCaJY+Zmkgj7PpBemNEomcarTX7JIctDTjFxK+jyTNM+ZaocM1xzG6y79JZuqZ+FZxeD+s61QuhhB1vlWM13qaqiV1XtNP8axdFpBQs0tQjXXMhipugjEWVd/nW1FoK4V89em29GamzazXCIpNpKO1lwsQ2Os7jDZCrENjatHKozWHIQQVB3zgoakypVnQwdrf/AHfwDAK1/5ylWf/6M/+iN+5md+Bsuy+PKXv8wnPvEJer0emzdv5o1vfCPvf//71+G0Z+97i8HazZvrwMbfYHqpZVnK3r17lz/evXs3r9k9wgP75/j7PRMqWFMURVEURVGUi6QVJBya63GsGbD3eBvPNshySc21VlUkmZrGvokOQ1WbgbKNY+gcnu8x04mZ78UkaY6pC/LFVswsK4IOY3EjY8kWdELBoXmfoZrD5oZLmGQMVRxsQ2fHgMdTMz38JCaTkppjAALH0LBsk+lOSC9M6S9Z7J8NqLkGQ1Uby9SouzZJnpNmkoprMGI59MIU1zLoRQm9OCPLcjY3ymS5pBeltILknCuUVFvf6uq9NJPMtCOORQHjDYfN9RKGJk67WfRMt3mqsEtKyZY+jzST5FLS9hNSmWIIQX/Z4thCSNUx2Nb/7H26psH2gWJe21wvYrTmLN/fpa72U55fNvRvAXni/uUTbN68mX/+53++RKe5cL53tAnATZvqEKlg7URzxw9z7+NNrm66TB/Zz93Aa3dfx0f+9nEePtzk6ekOu4Yq631MRVEURVEURXleaQUJe4616EUptq5RdgxKtsFMJ6YbppiGRjtIGShrNIOYIMmoL7bctYOUmzbVqXsm/7xvmq39Hp6lc2C2VywvyMHUNSxDI0wzOkFGkktmOhHfPdxkU93B0HU0XZBJydMzPkfmfaqOQbObEsQ54w1veYaXs9h+moscyBmtOgRJTi5B0wV122S2GxNnOVaWMVC1qLsWfmxQcgy29HkEUb44Ny5nU5+rKpSeo6VgasdgmRs2R0w0Q/w4JUgykix/TtVfZwq7Vla2dcOE/rKFjiBD0uwl6EJw1VBlzXCs4VnMdWJ6cbYcjKqQVDkf6k/OJdaNUp6a7gJw4+Yax54+vs4n2pj6R7ewadf1yx8PVR1+6JohvvzEFH/+4BH+3Y9cf5prK4qiKIqiKIpyLqSUHJrr0YtSRmsuvTghzyVhklFxDNpBQsUxcC2NY62AmW6MZ+pkec5MJ8KzdEZqLlJKqq5FkGRsGygx14uKpQOaTppltMOUOM3Jc4lnGUiZI4CJdkTNNfBMjaafIAToGriWTk4RxEXlIgRzDB1LF6RSMtuK6atYjNUcjrVDomZRjZYI0HRY6Mb4po6u64RpBFIyVHO4arjCdDtisGyze1ONsm2oCqXzsBRMlW2DzQ3vglR/nSnsOrGyLcxzDE0wVLERAhola83rmbpGmkvSLD/nMynKWlSwdok9erSJlDBedxmqOBxb7wNdRt78ws18+Ykp/td3j/GLd127vIJZURRFURRFUZTz04sz5rsxDc+iGxXzrWa6Ma0gpu5a2KZGLiXXjFQQwL6JNoNVhzyXDFYsRmouZdvAT1IcSyfLYLhaDImf6cZUSgambjDTDYnTHNfUi9vMBVGWM1Z20ITgyEIPkQtMS6MTJky3i1ZQKWGiGaJrgm39JbJcFsFfmrOp7lEv2diLrZ4HZnym2hGmruGYOgMVG0ODKC0qqLpBykQzZKjqcP147aTh98r5uZTVX2tVtkkpeejgwqrNoislWRHAnWlJhaKcLRWsXWLfPbQALM1XU87FK68ZZKhiM92J+MKeCV5/8/h6H0lRFEVRFEVRnhfSLCfNJXGWc2Cmhx9njNddDF3Qi1L8JGOuG7O5z6XiGOwcqrBrqMzQ4tbHZ+dY6dRdE10XGJrGjsEyc70FWkGCpgmyvNj8qGsaaQY1x8SzNVxDoxVkTHdido9WcSwDmYOfZNiaRi/OaQYxyWyOaWjIFIarDjU3w9AFcVZUsl09VCWIcqLUx9Q0hqom/WWX2W5AnOYMlh00TYCA3WNV1fr5PHBikCelXHOz6JKzXaSgKGdLBWuX2LcOzAPwou1963ySy4+ha/zk7Vv5nS8/yX/6yjP86I1jxf8UFUVRFEVRFEU5L4auoQs4Mu/jxxmDFRsAy9CY7UY0ewkzfsjRhYA7dvYxVHXphAmetfolpUDgWQab+jyOzfdY8OOivTOIF79aDJcvOyaWoaFrgoZn0XANLDPGTxLqZYuFXkqjbGHHGVku0bWMJMsIFivrXjBe4/btDfw458BsjzDO6C4Or795Sx3XMphqByQ5xGnGWN1jrO6xueFiG0ULq64qlp6XznazqGr9VS4UFaxdQmmWL1esvXCbCtaei595yTY+/bX97Jvq8I+PT/Ga3SPrfSRFURRFURRFueyVLB3X1jl2JGC8/myVj2cZbO7T0bWALf0ewzWbHYMVcgl7jrXWDC48S6e/ZDHZ8skWlxboukacZFimxkDZYrzhYuo6jlnMZjM1QZi2qDoWM+0Iy9BoeDZlK6cTJggEJGAaOkMVmx+9cZRdQxXaYYpr6sz3Ysq2gWvqBHHGTDdix5DHaM3FswxKto5nFnPUslwy243UjK3nsbPZLKooF4oK1i6hxyfa9OKMqmNwzYjaavlc1DyTn3nJNn7/K0/zyfue4v+4fhhdVa0piqIoiqIoynkRQjBW9zD1edpBTNW1MDSNNC+Crbpnsb2/RJAUFWR1z1ozuBip2Uy1I2Y6EVsaZa4aqpDkOd2wmGu2d7JNmBYLDmqORX/ZwrUMelFKO0gZqprM9pLlwfOWodFXsig5GZOtnE0Nl6pj4C6GZDXX5IZN9eVz9OJijtpQxWZrf5mBsn3SY1Uztq4MZ9osqigXigrWLqFvL7aBXt2n8+j3HgFg7969yHztbSXKyZIk4YW1Lp4peGKizX/4i6/z3h9/Maap3nFQFEVRFEVRlPPRV7LYMVimEyaEcUYqU3Sg7BgMlJyiJVOwHEitFVzkec5DB5vFdsaqs3zbAyXY2lfGMw0OzPeIkoxqw8DQiyUFh+Z8qp7JrqESDzw9RydKqToCXQiCJGO6HZLkOXEqmWxH7JvsUHFNaov/rDyHrgn2z3SZakdrPk41Y+vKcSkXKShXLvUn7BJaCtZmJ47yZ9/sArD3wQcZ3H49m9fzYJeRPXv28F/+33/mmvouHp7X+eOHm7x4/BFe/bIXrvfRFEVRFEVRFOWyVrJ0tvR5TDQD6oMWbT9hthcRxhmHoh6tIGHHoEe2ooXyxODi2ILPgh/R8Cx6UYquCWxDQwiBEIKrRipIDTbXHVpBwkwnxjIELxivUHFM/Chlc5/HTDcmSXM6aU4nSIjzYvunZ+lYukY3SthzrMXu8Ro11zzpHNsGynSjTM3YUhTlolPB2iWS5ZJvHyyCtW3DDTbtug6A6SP71/NYl6WhzTu4Zec1TD50lIlWyG99Y4FX3J7hmDpJkrBnz55Vl9+9e7eqaFMURVEURVGUM1g19L0ZMN+LSTKJa+okSUrDsxBo7DneXg60TtQJE6bbEa0gxdAEmhBUHIOBso1rGQghcS2dO3b049ommgDXMhgsW3SijMeONhko2wRxjmUIkixD02C85FKyDCSSq0YqbB8sM9kKOTzfY/dY7aSQTM3YUhTlUlHB2iWy51iLpp/gmYKGJdf7OJc9IQSvvn6Ye791kCfnE973l4/xW2+6iT179vDxv/gKQ5t3AEVweTdwyy23rO+BFUVRFEVRFOUyUHNNXjBW5Z/2Biz4CTXXJM8lg1WHkapL2TaYaAVrBlqtIOHoQoBEEqUZfVWXNJcsBAlBktNfsjg410Pmkv2zPhXHpK9s0SjZaJpGzdW4YVMdXdNI8lmOzPVoBhkV26BkG9iGYLReYvtAGUGxTXSuU8xVW6vdT83YUhTlUlDB2iXy1SdnALhhyEYT8Tqf5vmh7lncPpDxjRmDv3z4GJomePMOydDmHWzadf16H09RFEVRFEVRLkuGrtHwLPq32Ziahq4LXFMvNnPCmoGWlJJDcz2yXHLjpgbfP96iFSZ4lkHNMZloBeyf7WJqcNvWfjb3eSSZZLIV0gnT5Qq4mmvy4h19bO33ePTIAg8eWKDqGjimzmDVZrTmLd+nqWukuTztdk81Y0tRlItN/Ya5RL76VBGs3TJiMzPbWefTPH8Mu5L/+0V1fu/BFv/zoaM8fcxm04o/1VmWsnfv3lXXUa2hiqIoiqIoinJqaZaT5cUyA22N6q61Aq1enDHfjekr2VRdCz9OOd4M6YUpCEkriOmFGS/e2cc1o1V0TUPXYLTmnlQBV2wodak4BlIIbF2j5Birwj1Q2z0VRdkYVLB2CbTDhO8ebgJwy6jNP86u73meb35wm8d1V+/k3Z97mEcmI/bqBnp/j20DJeaOH+bex5tc3XQB1RqqKIqiKIqiKGdi6BqGJojTHMc8eXPmWoFWmuWkucQyNBwh2D1ep6/kM9ON6YYJZdtkqOJwzXDtpAqyU7V0lm2D8brLZCvEM09+6aq2eyqKshGoYO0S+MbTc2S5ZMdAiaGSesovhrteMMJfv+Nl/Nx//QbHOil//b3jXD9apSY1+ke3qNZQRVEURVEURTlLJUunr2wx2QoZrbknfX2tQOvEMK5sG1w1XGFTX0bLTzC0NhVHp+qe/HroVC2dq5YpqO2eiqJsUKpm9hK474kpAF5x9eA6n+T57ZqRCr/96gF2VTIAHp9o85Dcxlxqr/PJFEVRFEVRFOXysRRolRYXFYRJRpZLwiRjohWsGWgthXEL/rPzpAUCzzSoeSaZlJRtE/csK+CWLG33HKk59KKU2W5EL0oZrTun3EyqKIpyKanyqYsszXK+tBis3fWCEWgfXucTXV5OnJG2d+9eZG6d8vK2oXFTX84tV2/lS49P0QzgsaiP9PuTvOLqwZNuT81bUxRFURRFUZSTLQVah+Z6zHdj0lxiaILRusOWvtJJgdbpqsuavZihio1tamtWl52ppVNt91QUZSNTwdpF9q0D8zT9hL6SxQu3NXjsURWsnYsTZ6TtffBBBrdfz+YzXG+s7vKTt2/h8/c/yDEaPDHZ4dC8z85khmcen+DqpqvmrSmKoiiKoijKaZxroHWqMG6s4XL9eI3Dc/5zbulU2z0VRdmo1G+mi+yLeyYB+D+uG1bbap6jlTPSpo/sP+vrGbrGDm2GISvnoDbKgp/wGJvZNVBjfOd1F+u4iqIoiqIoivK8ca6B1unCuKpjnnUFnKIoyuVCBWsXUZ5L/uH7RbD2mt0j63yaK1dNT3jrC7dw395p9k52eDqu8eUnprla/b9bURTliialJAzD9T7GhrHyufja177Gy1/+8nU8zcbiOI5qOVMUit+bZ1O9dqow7lwq4M72vhRFUdabCtYuogf2zzHdiag4Bi/Z1b/ex7miGbrGq68fJpp6hgNykMcn2kzbOj8W5We+8vNckiTs2bNn1efU7DlFUa4EYRjy2te+dr2PsSH9x//4H9f7CBvKF77wBVz35M2IinIlaQXJSdVmfWWLrf3nVm12NhVwF+q+FEVRLgUVrF1E//OhowD8f24awzbWHsSpXDpCCDaJBSqWzt5skNkIfuXLM3zuqh5b+0vrfbx1s2fPHj7+F19haPMOADV7TlEURVEURVmlFSTsOdaiF6U0PAvL0IjTnMlWSCdML+h2zkt5X4qiKBeCCtYukk6Y8IU9EwDcWPF5+OGHgTNvtVQuvj4j5v978yb+8juHmOhm/Nh/+gaf/qnbuHVrY72Ptm6GNu9YnmOnKIpypXAchy984QvrfYwN4fjx47z97W8ny7Llz+m6zh/+4R8yNja2jifbGBzHWe8jKMq6kVJyaK5HL0oZrT1buemYOqM1l4lWwOH5HrvHaufdqnkp70tRFOVCUcHaRfJ3j04QJjnjFYO/ue9/M7ylqAY6262WysXVX7Z55UjKPt/jmYWYt376m/zOT9zM624YXe+jKYqiKJeIEEK191G8kL3nnnvW/No999zDxz72MfUCVlGuYL04Y74b0/DWLg5oeBZznZhenJ331s5LeV+KoigXivptdBFIKfnTBw4B8KrtLr3Wjue01VK5uFwDfu2H+/mvj+d8+Ylp/q/Pfpf/8wd38G9ffQ3mGhtc1SwyRVEU5fno8OHDPPjggyd9PssyHnzwQQ4fPszWrVvX4WSKomwEaZaT5hLLOPnvxwCmrpHmkjQ7/9nFl/K+FEVRLpS1f2Mp5+Wb++d5fKKNY2q8aseVO7vrcuAYGv/5X9/Gz710OwD/+Z/386Z7HuDIvH/SZZdmkf3ZNw/xZ988xMf/4isnBW2Koqy/T33qU2zbtg3Hcbj99tv59re/fdrL/8Vf/AXXXnstjuNwww038Pd///ervi6l5IMf/CCjo6O4rsudd97JU089dTEfgqJcUlu2bOGFL3whur56Hqyu67zoRS9iy5Yt63QyRVE2AkPXMDRBnK4dZiVZjqEJjDXemN7I96UoinKhqN9IF8F//foBAN74A5uo2uopvpiyLGXv3r08/PDDPPzww4sz7LIzX3HFdR/93iP86KaIX3ppg6pj8MiRJq/73a/x3x44SJbLVddZmkW2adf1y8P+L4UkSZYf48MPP8y3v/1tvv3tby9/nCTJWV/3TJdfL5fLOZWN7c///M+5++67+dCHPsR3v/tdbrrpJu666y6mp6fXvPw3vvEN3vKWt/DzP//zPPzww7zhDW/gDW94w6rQ/GMf+xi/+7u/yz333MO3vvUtSqUSd911F2EYXqqHpSgXlRCCd7/73af8vGoDVZRL51zfHLoUSpZOX9liwY/X/PqCH9NfsShZ57+s7VLel6IoyoWiWkEvsKenO9y3dwqAn3vZdtpHVVXDxTR3/DD3Pt7k6mYxI+dcZtideN3pI/v5zde9nP/8aMx3Dzf5wF9/nz994BC/8Mqd/MiNZ569dmKr6FIotNQqej5toydu7tz74FfRnDJX3/ADZ9ziea5bP5cCxyWXqt1VbSdVLoSPf/zjvO1tb+Nnf/ZngWI+1N/93d/xmc98hl/5lV856fKf/OQnec1rXsMv/uIvAvCrv/qrfOlLX+L3f//3ueeee5BS8olPfIL3v//9vP71rwfgT//0TxkeHubzn/88b37zmy/dg1OUi2jTpk289a1v5c/+7M+QUiKE4K1vfSvj4+PrfTRFuWIsvTl0zz33cPvtt/OJT3yCu+66i3379jE0NLRu5xJCsLW/RCdMmWgFNDwLU9dIspwFP6ZkG2zpK12QEP5S3peiKMqFooK1C+y3/uFJpIS7XjDMzsEyDx9d7xM9//WPbnnOM+xWXhdgqGTwP/7PW7n324f57X98kqemu9z9P77HR/72cW4bNml1BbUwoeKcHDSdT/h1NlZu7pw+sh/drZ71Js/BTTsY2HoNYZIxHwkePBbyZHqY2W7M3gMtvj+nsS+ZIpfQnAh54Okum44eJp4/zq8kOS990a3P+dznQm0nVc5HHMc89NBDvPe9713+nKZp3HnnnTzwwANrXueBBx7g7rvvXvW5u+66i89//vMAHDhwgMnJSe68887lr9dqNW6//XYeeOCBUwZrURQRRdHyx+12+7k+LEW5ZH7yJ3+SL3zhC8zOzjIwMMBb3/rW9T6SolxRzvXNoUup5prsHq9xaK7HfDcmzSWGJhitO2zpK1FzL9ybsJfyvhRFUS4EFaxdQI8cafLF70+iCfj/vfqa9T6O8hwZusZP3bGNN9wyzn974BB/+sBBptoRXz6QAAYP/u+DlG0DV+h0HmxyS+sZxuoO7ekIb2QHI9uvxdC1cwq/TrUYIZUaB+d6fONIwL6WxtP7pgmSjOl8E3lgsvfBI0ShziP/OIPzta+RS8iynCAMySWkuaQdpgSZAYeXQkeDr0zOA/Mr7k2H7tIL/wY4DabmALbwr/5ygrEv/QNX9ZvsHrT58ZfvZsdQ7bTnPlWF24mXV8sflAtpdnaWLMsYHh5e9fnh4eFVVZgrTU5Ornn5ycnJ5a8vfe5Ul1nLRz/6UT784Q+f82NQlPXkOA533303n/zkJ3n3u9+N4zjrfSRFuWKc65tD6/EGTs01uWG8Ri/OSLMcQ9coWfpFqR67lPelKIpyvlSwdoHkueQ//N3jAPzYLZu4eriyzidSzlfVMXnHD+3i3/zgTr7xzCz/8+vf56sHOjRjjW6U0kXjH/f7/OP+lS/YTf7h+DM4poaeb8UOYfaJKfKexpf3+7RLM4xUHUq2jqFpGLogiDMe+O5j/Ml9j2A2RukkMNcJMf9mihl/5bw4HZqtxf8uQQ7tdghoLMQJLJxqHtmzfwExdYFJzljNYstQg/6SRdprsneiRb1/CCHg8DNPkhoudnWAyfkWESbHOinHOin3Hwz4/Qe/znjd5cU7+hkzunzzwYeWB1ufS1uqavVUns/e+973rqqEa7fbbN58Nk3qirK+XvKSl/CSl7xkvY+hKFecc31zaL3ewBFCULYvzUvIS3lfiqIo50P9prpA/vuDh3nw4AKepXP3q69e7+Moz8GJs8Xg2Yqql181SLlbwwibDG7bxVw35sDBg+wYqZNYNSZbIQenm0z3UjIpCJMccOhlMH+8Deg8/mCTTz14ugG0m1YUkZVgMVSruSbDLoRRxNBAP66lM/30YxiWzY5rXsDcxBF++Lohdu3cia4J9j/zDF9+Yorh8W0IAfu/+zVs1+MHbn8puiY4+vTj/KsXjy8HWg8//DB/FiywaXsfAPqBWXS7yk233MR3v/IwmVNn8KpbON4KeOb4LM1Y41gz4H99d6nPeSf7pgyGqw56eRf3H/QJKrOUbIOSbWAbGlJCLiXHOinuyA680V2YYcb9Dz/JrJ/R52o8uW8fMrcu1LdTuQINDAyg6zpTU1OrPj81NcXIyMia1xkZGTnt5Zf+PTU1xejo6KrL3Hzzzac8i23b2Lb9XB6GoiiKopyRegNHURRl41DB2gVwrBnw639fBDK/eNc1jNfddT6R8lystcxgrYoq29AZq7vkZclbdle55ZabgSKg+m8PHGJw2zV0o5RHvv2/ScwKjfEdTM3M0ii7+NJish0SJhlpLslyiW1oVCxBmqbUKyX6ShZ0Z3njzcO85iW30F+2i/Drm4fYtGsAgO8+00Y3quwYLGO1JLeOOtxyTTHUttw9yqMHJOON4nFMihhdOOjacyudt0TOtoES2wZKOIe/yVy7Td+uW5gJBYfnugRmlXaY0g67gM7ebzXhW986zS2acPwQ4PBPU8CTU2hIjFSnaktu8Jps6fOQ8jQ3oShrsCyLW2+9lfvuu483vOENAOR5zn333cc73/nONa9zxx13cN999/Ge97xn+XNf+tKXuOOOOwDYvn07IyMj3HfffctBWrvd5lvf+ha/8Au/cDEfjqIoinIFOdc3h9QbOIqiKBuHCtbOU5Rm/F9/9hCdKOXmzXXects4Dz/88PLX9+7dq6pwLiMrlxmcWMF2Nt9LIcAxdRxTp0/46KbBTTv6OZQc4/b+Ltdeey1QtAnv3r0bwzAQQqwIzorta4f2TaDNHeDwUzaHz3Dfz+Wc52NodBM33XAdAN/9yt8inYCBq3+AuV7M0YkpSp5LhEUvSunFGXGao4minD/PM5IsR9d00jRGIMiETi4FsVFiNoOv7JsBoGQY5N9roQ82uWG8pmZqKGfl7rvv5qd/+qe57bbbeNGLXsQnPvEJer3e8iDon/qpn2J8fJyPfvSjALz73e/mB3/wB/nt3/5tfuRHfoTPfe5zfOc73+EP//APgeLP7Xve8x5+7dd+jauuuort27fzgQ98gLGxseXwTlEURVHO13N5c0hRFEXZGFSwdp7+/f/7ON872qLumfzeW27hice/f8JmyAcZ3H49qjD78nNiBdv5fC/Pthruudz3hTznc2EIydb+Elv7SwzFE/yrFw+c8nE9GyBezXe/8rfobpUbXvRyOlHKdx74Gl2jTlIaYqIV0EsFn9/b4/N7/zebGi4/csMoP3LjqArZlNP6iZ/4CWZmZvjgBz/I5OQkN998M1/84heXZ9YcPnwYTdOWL/+Sl7yEe++9l/e///28733v46qrruLzn/88u3fvXr7ML/3SL9Hr9Xj7299Os9nkZS97GV/84hfVYHdFURTlgjrTm0OKoijKxqSCtfMw34v5533TCAGffPMtbO7zmD0EQ5t3LFc9TR/Zf4ZbUTaylRVsJ34vz7VS7Fyr4U533+dyzo1O0wQ116QhfAYsg5tu/QHiNOe739+H4Zb57mTC0YWA//zV/fznr+5nqKTzks0OL93s8vqX34JlFc+b2jiqLHnnO995ynf377///pM+96Y3vYk3velNp7w9IQQf+chH+MhHPnKhjqgoiqIoJznTm0OKoijKxqSCtfPQV7L4m3e9jK8/PcsPXj243sdRLrHzqRRb7yqzjc4yNDaVJP/qxX1c+4Ib+cq+aT771cd54IjPdI/FSrYev/mNf+KHrhvj1m0NvN4kn/vi1xjeojaOKoqiKIpyeTrdm0OKoijKxqSCtfNUtTW2yGkefngaUDPVrjTnUym2XlVmF3Mm24m3nSQJwHLl2HO5L9fSed0No4ymk/zxNzoktTGemu6yf6bDdC/jz79zhD//zhEADHE1g00Xx9vF3z/VI67NsX2wxGDZPm376InVbqAq3hRFURRFURRFUZQze94Ea5/61Kf4zd/8TSYnJ7npppv4vd/7PV70ohdd9Pvds2ePmqmmXFYuZrXcybf9VTSnzNU3/MAFuS9Dg23DFa4arnDwyf9/e/ceFNV5vwH82V3YXUBX8MbFWvASUIli0chgmqoRA2otdmrERA1monY6TSdWTWImo0idaU1i1Zg4MbEq9hLR1Fvnp1EjEZMgMQ2ixUiMIF4DGgUDi1x3v78/LKdZFxQOy+4eeT4zO7jnvOc9z77s7vH7cnZPBaLDg1FuCELexXKcvFSBBrsOpd/XAjBg44nvsfHE5wCALiYfRPT0R0SPAPTrGYCIHgEIDTQjxGJGsMWMb844vo55xhsRERERERG1xgMxsbZ9+3YsXLgQGzZsQFxcHNauXYvExEScPXsWvXv37vD98zvVSGs68my5u/s2+FlU7et+Z9bppBFdqy7gkUFmJIb44SvLRWRfN8GnRzjOX7oMvQ6osJnx3W0brHWNOH21EqevVja7Lz8fHQz6SARW+sPf14BG/4F4v6ASedbzCPQ3ItDPF0EBvujmZ0Sgvy8sZl/4GnStuoiCt54N98NcNrvgdl0D6m0C0fugwS4w6IDowYMQFtQFej0vFkFERERERNScB2JibfXq1Zg3b55yxZwNGzZg37592Lx5M5YsWeLhdESkxv3OrGtpfXT0w6guPH/n6o1DY2ET4HT+l2jw6w5Ln4GwNgAV1loEdO2G7+sBa10jahoFgA7Wipr/9m7A+TNW4Exhi/n0OsDkY4DJVw+zjwG+PjoYdDoY9Dr46PV3fhp0qK25jbKb38NoMkOnAxpra9D/k5voHhQIH70Oer0OPvqm7XQw6PXKfZ0OSp86nQ4GPaDX6aDX6SAAbHY7Gu0Cm03QaBc02u2w2QWNNkFdox11jTbUNvzwpx11DTbUNdpRVVOH6roG2KGHoIWJs/+7jvylExAUwI+3ExERERERNUfzE2v19fXIy8vDK6+8oizT6/VISEhAbm5us9vU1dWhrq5Ouf/9998DACormz+b5V6sViuuFJ1BXc1tAMC1S8XQm7ugS4B/m++3Z1v27V19PyiPwxv6bnptNdTXoeziuVatv3udvqYCftKAcN8QwBf4ruICnggJRmRkJGob7Mj/+jw+LqqAOSgUdXYdbt26hbDuXeHjb0F1gx3W+ju36gbB7XqBALADaARQjVaqq/3vP3S4eaECuFDR2i3dSg+BXgfYRQCdHrerq2Cwtf3suqb3UxFxdURNahoHNccZIiJyxuOMIx5niIhcqy3HGZ1o/Gj07bffok+fPjh27Bji4+OV5S+99BKOHj2K48ePO22zfPlypKenuzMmEVGndPnyZfzoRz/ydAyPu3LlCvr25bdvEhG5Go8zd/A4Q0TUMVpznNH8GWtqvPLKK1i4cKFy3263o7y8HD169LjvdyZVVlaib9++uHz5MiwWS0dHdQmtZdZaXkB7mbWWF2Bmd3BlXhFBVVUVwsLCXJRO28LCwnD58mV07dq1Vd/NR+QpWnvfos6LxxlHbT3OaO21rrW8gPYyay0vwMzuoLW8gOsyt+U4o/mJtZ49e8JgMODatWsOy69du4aQkJBmtzGZTDCZTA7LAgMD27Rfi8WimSdWE61l1lpeQHuZtZYXYGZ3cFXebt26uSDNg0Gv1/OMCtIUrb1vUefE48z/qD3OaO21rrW8gPYyay0vwMzuoLW8gGsyt/Y4o2/XXryA0WjEiBEjkJWVpSyz2+3Iyspy+GgoERERERERERGRK2n+jDUAWLhwIVJTUzFy5EiMGjUKa9euRXV1tXKVUCIiIiIiIiIiIld7ICbWUlJS8N1332HZsmUoKyvD8OHDceDAAQQHB7t8XyaTCWlpaU4fJfVmWsustbyA9jJrLS/AzO6gtbxE5Hp8HyDqHLT2WtdaXkB7mbWWF2Bmd9BaXsAzmTV/VVAiIiIiIiIiIiJP0Px3rBEREREREREREXkCJ9aIiIiIiIiIiIhU4MQaERERERERERGRCpxYIyIiIiIiIiIiUoETawDWr1+PiIgImM1mxMXF4Ysvvrhn+w8++ACDBg2C2WzG0KFDsX//fof1IoJly5YhNDQUfn5+SEhIwLlz5zySd+PGjXjssccQFBSEoKAgJCQkOLWfM2cOdDqdwy0pKclleduaOSMjwymP2Wx2aONNYzx27FinvDqdDpMnT1badPQYf/LJJ5gyZQrCwsKg0+mwZ8+e+26TnZ2N2NhYmEwmDBw4EBkZGU5t2vra6Ki8u3btwoQJE9CrVy9YLBbEx8fj4MGDDm2WL1/uNMaDBg1ySV41mbOzs5t9XpSVlTm085Yxbu45qtPpEB0drbTp6DEmIiIidbRWz7Q1szfUNFqrZ9qa2dM1jdbqGTWZPV3TaK2eUZPZUzVNp59Y2759OxYuXIi0tDScOHECMTExSExMxPXr15ttf+zYMTz11FN47rnnkJ+fj6lTp2Lq1Kk4ffq00ub111/HunXrsGHDBhw/fhwBAQFITExEbW2t2/NmZ2fjqaeewpEjR5Cbm4u+ffviiSeewNWrVx3aJSUlobS0VLlt27at3VnVZgYAi8XikOfixYsO671pjHft2uWQ9fTp0zAYDHjyyScd2nXkGFdXVyMmJgbr169vVfuSkhJMnjwZ48aNw8mTJ7FgwQLMnTvX4Y1dze+to/J+8sknmDBhAvbv34+8vDyMGzcOU6ZMQX5+vkO76OhohzH+7LPP2p1VbeYmZ8+edcjUu3dvZZ03jfGbb77pkPPy5cvo3r270/O4I8eYiIiI2k5r9YyazJ6uabRWz6jJ7OmaRmv1jJrMnq5ptFbPqMnssZpGOrlRo0bJb3/7W+W+zWaTsLAw+dOf/tRs++nTp8vkyZMdlsXFxcmvf/1rERGx2+0SEhIib7zxhrL+1q1bYjKZZNu2bW7Pe7fGxkbp2rWrbN26VVmWmpoqycnJ7c7WkrZm3rJli3Tr1q3F/rx9jNesWSNdu3YVq9WqLOvoMf4hALJ79+57tnnppZckOjraYVlKSookJiYq99s7Dq7M25whQ4ZIenq6cj8tLU1iYmJcF+weWpP5yJEjAkAqKipabOPNY7x7927R6XRy4cIFZZk7x5iIiIhaR2v1jJrMd3N3TaO1ekZN5rt5sqbRWj0jor2aRmv1jIh31zSd+oy1+vp65OXlISEhQVmm1+uRkJCA3NzcZrfJzc11aA8AiYmJSvuSkhKUlZU5tOnWrRvi4uJa7LMj897t9u3baGhoQPfu3R2WZ2dno3fv3oiKisJvfvMb3Lx5s11Z25vZarUiPDwcffv2RXJyMr766itlnbeP8aZNmzBjxgwEBAQ4LO+oMVbjfs9jV4xDR7Lb7aiqqnJ6Hp87dw5hYWHo378/Zs6ciUuXLnko4f8MHz4coaGhmDBhAnJycpTl3j7GmzZtQkJCAsLDwx2We+MYExERdVZaq2fUZr6bO2sardUz7cn8Q95e02i9ngG0U9NotZ4B3FfTdOqJtRs3bsBmsyE4ONhheXBwsNPnhpuUlZXds33Tz7b02ZF57/byyy8jLCzM4cmflJSEv/71r8jKysJrr72Go0ePYuLEibDZbO3KqzZzVFQUNm/ejL179+Lvf/877HY7Ro8ejStXrgDw7jH+4osvcPr0acydO9dheUeOsRotPY8rKytRU1PjkudaR1q1ahWsViumT5+uLIuLi0NGRgYOHDiAd955ByUlJXjsscdQVVXlkYyhoaHYsGEDdu7ciZ07d6Jv374YO3YsTpw4AcA1r+eO8u233+LDDz90eh572xgTERF1dlqrZ9Rmvps7axqt1TNqM/+QFmoardczgPfXNFquZwD31jQ+7Q1L2rFy5UpkZmYiOzvb4cszZ8yYofx76NChGDZsGAYMGIDs7GyMHz/e7Tnj4+MRHx+v3B89ejQGDx6Md999FytWrHB7nrbYtGkThg4dilGjRjks97Yx1rL3338f6enp2Lt3r8Pn+ydOnKj8e9iwYYiLi0N4eDh27NiB5557zu05o6KiEBUVpdwfPXo0iouLsWbNGvztb39ze5622Lp1KwIDAzF16lSH5d42xkRERNT5aKGm0XI9A7CmcQct1DRarmcA99Y0nfqMtZ49e8JgMODatWsOy69du4aQkJBmtwkJCbln+6afbemzI/M2WbVqFVauXIlDhw5h2LBh92zbv39/9OzZE0VFRe3K297MTXx9ffGTn/xEyeOtY1xdXY3MzMxWvRhdOcZqtPQ8tlgs8PPzc8nvrSNkZmZi7ty52LFjh9Op33cLDAxEZGSkx8a4OaNGjVLyeOsYiwg2b96M2bNnw2g03rOtN44xERFRZ6K1ekZt5iaeqGm0Vs+0N7NWahqt1jOAtmsaLdQzgPtrmk49sWY0GjFixAhkZWUpy+x2O7Kyshz+wvBD8fHxDu0B4KOPPlLa9+vXDyEhIQ5tKisrcfz48Rb77Mi8wJ0rzqxYsQIHDhzAyJEj77ufK1eu4ObNmwgNDW1X3vZk/iGbzYaCggIljzeOMXDnsuV1dXWYNWvWfffjyjFW437PY1f83lxt27ZtePbZZ7Ft2zaHy363xGq1ori42GNj3JyTJ08qebxxjAHg6NGjKCoqatV/prxxjImIiDoTrdUzajMDnqtptFbPtDezVmoaLdYzgPZrGi3UM4AHahqXXgpBgzIzM8VkMklGRoacOXNG5s+fL4GBgVJWViYiIrNnz5YlS5Yo7XNycsTHx0dWrVolhYWFkpaWJr6+vlJQUKC0WblypQQGBsrevXvlP//5jyQnJ0u/fv2kpqbG7XlXrlwpRqNR/vnPf0ppaalyq6qqEhGRqqoqWbx4seTm5kpJSYkcPnxYYmNj5aGHHpLa2tp251WTOT09XQ4ePCjFxcWSl5cnM2bMELPZLF999ZXD4/KWMW7y05/+VFJSUpyWu2OMq6qqJD8/X/Lz8wWArF69WvLz8+XixYsiIrJkyRKZPXu20v78+fPi7+8vL774ohQWFsr69evFYDDIgQMHWj0O7sz7j3/8Q3x8fGT9+vUOz+Nbt24pbRYtWiTZ2dlSUlIiOTk5kpCQID179pTr16+3O6+azGvWrJE9e/bIuXPnpKCgQF544QXR6/Vy+PBhpY03jXGTWbNmSVxcXLN9dvQYExERUdtprZ5Rk9nTNY3W6hk1mZt4qqbRWj2jJrOnaxqt1TNqMjdxd03T6SfWRETeeust+fGPfyxGo1FGjRoln3/+ubJuzJgxkpqa6tB+x44dEhkZKUajUaKjo2Xfvn0O6+12uyxdulSCg4PFZDLJ+PHj5ezZsx7JGx4eLgCcbmlpaSIicvv2bXniiSekV69e4uvrK+Hh4TJv3jyXvRDUZF6wYIHSNjg4WCZNmiQnTpxw6M+bxlhE5OuvvxYAcujQIae+3DHGTZdCvvvWlDM1NVXGjBnjtM3w4cPFaDRK//79ZcuWLU793msc3Jl3zJgx92wvcufy2qGhoWI0GqVPnz6SkpIiRUVFLsmrJvNrr70mAwYMELPZLN27d5exY8fKxx9/7NSvt4yxyJ3LvPv5+cl7773XbJ8dPcZERESkjtbqmbZm9oaaRmv1TFszi3i2ptFaPaMms6drGq3VM2oyi3imptGJiKg/342IiIiIiIiIiKhz6tTfsUZERERERERERKQWJ9aIiIiIiIiIiIhU4MQaERERERERERGRCpxYIyIiIiIiIiIiUoETa0RERERERERERCpwYo2IiIiIiIiIiEgFTqwRERERERERERGpwIk16nTGjh2LBQsWeDpGp6HT6bBnzx5PxyAiIiIiemCwpnEv1jR0L5xYowfSnDlzoNPpnG5FRUWejvbAWr58OYYPH+60vLS0FBMnTnR/ICIiIiIiDWNN436saUgNH08HIOooSUlJ2LJli8OyXr16uWXf9fX1MBqNXt+nO/YbEhLiwjRERERERJ0Haxrv2C9rGroXnrFGDyyTyYSQkBCHm8FgcGpXUVGBZ555BkFBQfD398fEiRNx7tw5hzY7d+5EdHQ0TCYTIiIi8Oc//9lhfUREBFasWIFnnnkGFosF8+fPv2++l19+GZGRkfD390f//v2xdOlSNDQ0KOub/lryl7/8Bf369YPZbAYA3Lp1C3PnzkWvXr1gsVjw+OOP49SpU8p2xcXFSE5ORnBwMLp06YJHHnkEhw8fbvW4tfRY7pU3IyMD6enpOHXqlPKXtIyMDADOp00XFBTg8ccfh5+fH3r06IH58+fDarW2Oh8RERERUWfBmoY1DXk/TqxRpzdnzhx8+eWX+Ne//oXc3FyICCZNmqS8webl5WH69OmYMWMGCgoKsHz5cixdulR5k22yatUqxMTEID8/H0uXLr3vfrt27YqMjAycOXMGb775JjZu3Ig1a9Y4tCkqKsLOnTuxa9cunDx5EgDw5JNP4vr16/jwww+Rl5eH2NhYjB8/HuXl5QAAq9WKSZMmISsrC/n5+UhKSsKUKVNw6dKlVo9Jc4/lXnlTUlKwaNEiREdHo7S0FKWlpUhJSXHqt7q6GomJiQgKCsK///1vfPDBBzh8+DCef/75VmcjIiIiIiJHrGmcsaYhtxGiB1BqaqoYDAYJCAhQbtOmTRMRkTFjxsgLL7wgIiLffPONAJCcnBxl2xs3boifn5/s2LFDRESefvppmTBhgkP/L774ogwZMkS5Hx4eLlOnTm1X5jfeeENGjBih3E9LSxNfX1+5fv26suzTTz8Vi8UitbW1DtsOGDBA3n333Rb7jo6OlrfeeqtVOVr7WJrLGxMT49QOgOzevVtERN577z0JCgoSq9WqrN+3b5/o9XopKytrVT4iIiIios6ANY0j1jTkrfgda/TAGjduHN555x3lfkBAgFObwsJC+Pj4IC4uTlnWo0cPREVFobCwUGmTnJzssN2jjz6KtWvXwmazKadijxw5sk35tm/fjnXr1qG4uBhWqxWNjY2wWCwObcLDwx2+Q+HUqVOwWq3o0aOHQ7uamhoUFxcDuPPXneXLl2Pfvn0oLS1FY2Mjampq2vTXneYeS2vy3k9hYSFiYmIcfhePPvoo7HY7zp49i+Dg4Db1R0RERET0IGNNw5qGvB8n1uiBFRAQgIEDB7p1f62Vm5uLmTNnIj09HYmJiejWrRsyMzOdvufg7j6tVitCQ0ORnZ3t1GdgYCAAYPHixfjoo4+watUqDBw4EH5+fpg2bRrq6+tVP5bW5iUiIiIiItdhTcOahrwfJ9aoUxs8eDAaGxtx/PhxjB49GgBw8+ZNnD17FkOGDFHa5OTkOGyXk5ODyMjIZr84tDWOHTuG8PBwvPrqq8qyixcv3ne72NhYlJWVwcfHBxEREc22ycnJwZw5c/DLX/4SwJ0D14ULF1TlbEteo9EIm812z34GDx6MjIwMVFdXKwe6nJwc6PV6REVFtSsjEREREVFnxJrGdXlZ05AavHgBdWoPPfQQkpOTMW/ePHz22Wc4deoUZs2ahT59+iinSi9atAhZWVlYsWIFvvnmG2zduhVvv/02Fi9e3K79Xrp0CZmZmSguLsa6deuwe/fu+26XkJCA+Ph4TJ06FYcOHcKFCxdw7NgxvPrqq/jyyy+Vvpu+GPTUqVN4+umnYbfbVWdtbd6IiAiUlJTg5MmTuHHjBurq6pz6mTlzJsxmM1JTU3H69GkcOXIEv/vd7zB79myeMk1EREREpAJrGtflZU1DanBijTq9LVu2YMSIEfj5z3+O+Ph4iAj2798PX19fAHf+orJjxw5kZmbi4YcfxrJly/CHP/wBc+bMUb3PX/ziF/j973+P559/HsOHD8exY8daddUdnU6H/fv342c/+xmeffZZREZGYsaMGbh48aLyJr569WoEBQVh9OjRmDJlChITExEbG6s6a2vz/upXv0JSUhLGjRuHXr16Ydu2bU79+Pv74+DBgygvL8cjjzyCadOmYfz48Xj77bfblY+IiIiIqDNjTeOavKxpSA2diIinQxAREREREREREWkNz1gjIiIiIiIiIiJSgRNrRB3gj3/8I7p06dLsbeLEiR7L9emnn7aYq0uXLh7LRURERERE3oU1DVHr8KOgRB2gvLwc5eXlza7z8/NDnz593JzojpqaGly9erXF9e68lDcREREREXkv1jRErcOJNSIiIiIiIiIiIhX4UVAiIiIiIiIiIiIVOLFGRERERERERESkAifWiIiIiIiIiIiIVODEGhERERERERERkQqcWCMiIiIiIiIiIlKBE2tEREREREREREQqcGKNiIiIiIiIiIhIBU6sERERERERERERqfD/xKsJtb/zOIIAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visual representation od independent variables\n",
    "\n",
    "for var in continuous:\n",
    "    print(var)\n",
    "    fig,ax=plt.subplots(1,3,figsize=(15,5))\n",
    "    sn.histplot(X_train_valid[var].dropna(), kde=True, ax=ax[0])\n",
    "    sn.boxplot(y=X_train_valid[var], ax=ax[1])\n",
    "    sn.regplot(data=X_train_valid, x=var, y=y_train_valid, scatter_kws={'alpha':0.2})\n",
    "    plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that most of data is not coming from normal distribution. Also most of variables have lots of outliers. Transformation of independent variables is recommended."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.4 Eliminating unwanted characteristics - high correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 4000x3000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize=(40, 30))\n",
    "mat = round(X_train_valid[features].merge(y_train_valid, left_index = True, right_index = True).corr('pearson'),2)\n",
    "mask = np.triu(np.ones_like(mat, dtype=bool))\n",
    "cmap = sn.diverging_palette(230, 20, as_cmap=True)\n",
    "sn.heatmap(mat, mask=mask, cmap=cmap, vmax=1, center=0, annot = True,\n",
    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .7})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 potentially statistically significant correlations\n"
     ]
    },
    {
     "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>Var1</th>\n",
       "      <th>Var2</th>\n",
       "      <th>Correlation</th>\n",
       "      <th>Correlation_abs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>Garage Qual</td>\n",
       "      <td>Garage Cond</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>Garage Area</td>\n",
       "      <td>Garage Cars</td>\n",
       "      <td>0.89</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>751</th>\n",
       "      <td>Fireplaces</td>\n",
       "      <td>Fireplace Qu</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0.86</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Var1          Var2  Correlation  Correlation_abs\n",
       "799  Garage Qual   Garage Cond         0.95             0.95\n",
       "185  Garage Area   Garage Cars         0.89             0.89\n",
       "751   Fireplaces  Fireplace Qu         0.86             0.86"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finding potentially statistically significant (> abs(strong_correlation_param) ) Pearson correlations \n",
    "matrix = mat.where(np.triu(np.ones(mat.shape)).astype(bool))\n",
    "strong_corr_df = matrix.stack().reset_index()\n",
    "strong_corr_df.columns = [\"Var1\",\"Var2\",\"Correlation\"]\n",
    "strong_corr_df[\"Correlation_abs\"]=abs(strong_corr_df[\"Correlation\"])\n",
    "strong_corr_df.sort_values(\"Correlation_abs\", inplace = True, ascending=False)\n",
    "strong_corr_df = strong_corr_df[strong_corr_df[\"Var1\"] != strong_corr_df[\"Var2\"]] # removing correlations with self\n",
    "strong_corr_df = strong_corr_df[strong_corr_df[\"Var1\"].str.contains(\"_NA\") == False] # removing correlations with dummy _NA variables\n",
    "strong_corr_df = strong_corr_df[abs(strong_corr_df[\"Correlation\"]) > strong_correlation_param]\n",
    "print(str(strong_corr_df.shape[0]) + ' potentially statistically significant correlations')\n",
    "strong_corr_df"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can observe multiple strong (>0.8 or < -0.8) correlations. Short summary:\n",
    "* 1306 - Garage Quality seems strongly correlated with Garage Condition (both measured on a ordinal scale) - possibly they reflect same data, so one of those might be redundant\n",
    "* 578 - Garage area is strongly correlated with number of cars that particular garage can store - obvious\n",
    "* 1282 - number of fireplaces is connected with fireplace quality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Garage Qual is not on the list.\n",
      "Garage Qual removed from the list.\n",
      "Garage Qual removed from the list.\n",
      "Garage Cars is not on the list.\n",
      "Garage Cars removed from the list.\n",
      "Garage Cars removed from the list.\n",
      "Fireplace Qu is not on the list.\n",
      "Fireplace Qu removed from the list.\n",
      "Fireplace Qu removed from the list.\n",
      "Gr Liv Area is not on the list.\n",
      "Gr Liv Area is not on the list.\n",
      "Gr Liv Area is not on the list.\n",
      "Total Bsmt SF is not on the list.\n",
      "Total Bsmt SF is not on the list.\n",
      "Total Bsmt SF is not on the list.\n"
     ]
    }
   ],
   "source": [
    "# MANUAL_INPUT\n",
    "# Dropping highly correlated variables from features list\n",
    "\n",
    "for var in [\"Garage Qual\",\"Garage Cars\",\"Fireplace Qu\",\"Gr Liv Area\",\"Total Bsmt SF\"]:\n",
    "    for lists in [continuous, features, discrete]:\n",
    "        try:\n",
    "            lists.remove(var)\n",
    "            print(var,'removed from the list.')\n",
    "        except:\n",
    "            print(var,'is not on the list.') "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.5 Target variable analysis and transformationm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visual representation od target variable\n",
    "fig,ax=plt.subplots(1,3,figsize=(15,5))\n",
    "sn.histplot(y_train_valid, kde=True, ax=ax[0])\n",
    "sn.boxplot(y=y_train_valid, ax=ax[1])\n",
    "sn.regplot(data=y_train_valid, x=y_train_valid, y=y_train_valid, scatter_kws={'alpha':0.2})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bV3B1dRVq1qwp9OvXTzh48KBB+f/884/QqlUrwcXFxaDMESNGCJ6eniXGVNoS2Z9//rkwa9YsISgoSHB1dRU6deokJCYmFnv98uXLhXr16gkuLi5C8+bNhc2bNxcrs6zYHl4iWxAEQaPRCFOnThVCQ0MFZ2dnISgoSHjnnXeE+/fvG1xX2r+D0pbuJiJSOpUg2N6MR5VKhXXr1mHAgAEAgF9++QVDhgzBiRMnik38rFKlCvz9/VFQUFDuMqA+Pj765WGDg4PRo0cP/PDDD/rnFyxYgE8++cRg2AMREREREVkXuxgO16JFCxQVFSEjI8NgD4QHubi4ICIiosJldujQodgk3LNnz3KiKRERERGRlbOZJCgnJ8dgPPjFixdx9OhR1KhRA2FhYRgyZAiGDx+OWbNmoUWLFrhx4wa2bt2Kpk2bmjQ59LXXXkP79u3x2Wef4ZlnnsH+/fuxcOFCLFy4UMq3RUREREREErOZ4XDx8fElTvIcMWIElixZAo1Gg08++QTLli1DWloafH19ERUVhalTp6JJkyYm3fP333/HO++8g+TkZISGhmLSpEkYO3ZsZd8KERERERGZkc0kQURERERERBVhN/sEERERERERAUyCiIiIiIjIzih6YQStVourV6+iatWqUKlUcodDREREREQyEQQBd+/eRWBgIBwcyu7rUXQSdPXqVQQFBckdBhERERERWYkrV66gTp06ZV6j6CSoatWqAMQ36uXlVex5jUaDv/76Cz179oSzs7OlwzOvhg3Fn8nJ8sZRQTZdFwrDurAerAsr8G9bqjl5knVhBfg7YT1YF9aDdVFx2dnZCAoK0ucIZVF0EqQbAufl5VVqEuTh4QEvLy/b+0ej6+Ir4X1bI5uuC4VhXVgP1oUV+Lct1Xh5sS6sAH8nrAfrwnqwLoxXkWkyik6C7Nq4cXJHQESkfGxLiYjsEpMgpZo6Ve4IiIiUT9eWajTyxkFERBbFJbKJiIiIiMiusCdIqT76SPzJHiEiItPp2tL335c3DqIyCIKAwsJCFBUVWeyeGo0GTk5OuH//vkXvS8WxLv7j6OgIJycnSbbGYRKkVAsXij+ZBBERmU7XljIJIitVUFCA9PR05OXlWfS+giDA398fV65c4V6MMmNdGPLw8EBAQABcXFwqVQ6TICIiIiIrpNVqcfHiRTg6OiIwMBAuLi4W+xKs1WqRk5ODKlWqlLvpJJkX60IkCAIKCgpw48YNXLx4EQ0bNqzU58EkiIiIiMgKFRQUQKvVIigoCB4eHha9t1arRUFBAdzc3Oz6i7c1YF38x93dHc7Ozrh8+bL+MzGVfX+SRERERFbO3r/4Ej1Iqt8H/lYREREREZFdYRJERERERER2hUmQUu3fLx5ERGQ6tqVENickJARz5swp85r4+HioVCrcuXNHknteunQJKpUKR48eNep1D8eqUqmwfv16SWJ6UJcuXfDqq6+Wel9z3stacWEEpQoKkjsCIiLl07WlGo28cRCRZA4cOABPT88yr2nfvj3S09NRrVo1C0VVMenp6ahevXqFrlWpVFi3bh0GDBhQ7rVr166Fs7NzJaMzFB8fj65du+L27dvw9vY2673MgUkQEREREdkMPz+/Mp/XaDRwcXGBv7+/hSKqOKljKigogIuLC2rUqCFpuWWx5L0qg8PhlKpOHfEgIiLTsS0lMgutVotp06YhNDQU7u7uaNasGX799Vf987rhaJs3b0aLFi3g7u6Obt26ISMjAxs3boRarYaXlxdiYmIMNort0qULJkyYgAkTJqBatWrw9fXFBx98AEEQ9NeUNMRswYIFePzxx+Hp6YlPP/20xOFwe/bsQZcuXeDh4YHq1aujV69euH37NgBg06ZN6NixI7y9veHj44N+/frh/PnzRn0mGRkZ6N+/P9zd3REaGoqffvqp2DUPDocrKCjAhAkTULt2bfj7+yM0NBTTpk3Tv0cAGDhwIFQqlf7xlClT0Lx5c/zwww8IDQ3VLyFd0hC1u3fvYvDgwfD09ETt2rXx9ddf658raXjfnTt3oFKpEB8fj0uXLqFr164AgOrVq0OlUiE2NrbEe92+fRvDhw9H9erV4eHhgcceewzJycn655csWQJvb29s3rwZarUaVapUQe/evZGenm7U52ss9gQpVVGR3BEQESkf21JSoLy8PJw+fdqs99BqtcjNzYWnpyccHBwQERFh1F5F06ZNw/Lly/Htt9+iYcOG2LlzJ4YOHQo/Pz907txZf92UKVMwf/58eHh44JlnnsEzzzwDV1dXrFixAjk5ORg4cCC++uorvPXWW/rXLF26FKNHj8b+/ftx8OBBjBs3DnXr1sXYsWNLjWfKlCmYPn065syZAycnJ1y4cMHg+aNHj6J79+4YNWoU5s6dCycnJ2zfvh1F/7YRubm5mDRpEpo2bYqcnBx8+OGHGDhwII4ePVrhJZtjY2Nx9epVbN++Hc7OznjllVeQkZFR6vXz5s3Dhg0bsHLlSlSvXh137txBWloaAHHIX82aNREXF4fevXvD0dFR/7pz585hzZo1WLt2rcH5h33++ed49913MXXqVGzevBkTJ05EWFgYevToUe57CQoKwpo1azBo0CCcOXMGXl5ecHd3L/V9JycnY8OGDfDy8sJbb72FPn364OTJk/phc3l5efjiiy/w448/wsHBAUOHDsXkyZNLTBSlwiSIiIiISEFOnz6NVq1aWfSehw4dQsuWLSt0bX5+Pj777DP8/fffiI6OBgDUq1cPu3fvxnfffWeQBH3yySfo0KEDAGD06NF45513cP78edSrVw8A8NRTT2H79u0GSVBQUBC+/PJLqFQqhIeH49ixY/jyyy/LTIJiYmIwcuRI/eOHk6CZM2eidevW+Oabb/TnGjVqpP/vQYMGGVy/ePFi+Pn54eTJk2jcuHG5n8nZs2exceNG7N+/H23atAEALFq0CGq1utTXpKSkoGHDhujYsSPu3r2Lxo0b6xMu3ZA/b2/vYkPoCgoKsGzZsnKHBXbo0AFvv/02ACAsLAx79uzBl19+WaEkyNHRUT/srWbNmgZzgh6kS3727NmD9u3bAwB++uknBAUFYf369Xj66acBiEMUv/32W9SvXx8AMGHCBPzvf/8rN47KYBJEREREpCARERE4dOiQWe9RUk9QRZ07dw55eXnFvkwXFBSgRYsWBueaNm2q/+9atWrBw8NDnwDpzu1/aAXHqKgoqFQq/ePo6GjMmjULRUVFpfZ8tG7dusyYjx49qv9CXpLk5GR8+OGH2LdvHzIzM6HVagGIiUpFkqBTp07BycnJIHmNiIgoNXkAxB6UHj16QK1Wo2vXrhg4cCB69+5d7r2Cg4PLTYAA6BPUBx9LvWKc7n23a9dOf87Hxwfh4eE4deqU/pyHh4c+AQKAgICAMnvJpCBrElRUVIQpU6Zg+fLluHbtGgIDAxEbG4v333/f4B83EREREYk8PDwq3CtjKq1Wi+zsbHh5eVV4uJdOTk4OAOCPP/5A7dq1DZ5zdXU1ePzgKmIqlarYqmIqlUqfcFRGeavFlTaUS6d///4IDg7G999/j8DAQGi1WjRu3BgFBQWVjq00LVu2xMWLF/HHH39g06ZNeO655/Doo48azK0qSXnvtSJ0df7gXCuNGVfRLKneH7y3Oci6MMKMGTOwYMECzJ8/H6dOncKMGTMwc+ZMfPXVV3KGRUREREQmioyMhKurK1JSUtCgQQODI0iCLT727dtn8DghIQENGzYsc/5LeZo2bYqtW7eW+NzNmzdx5swZvP/+++jevTvUarV+wYSKioiIQGFhoUEP3pkzZ8rdp8jLywvPPvss5s6di59//hlr1qzBrVu3AIiJQ1El5jUmJCQUe6wbnqfrSXpwcYKH90BycXEBgDJjUKvVKCwsNKgz3ecZGRlpcuxSkLUn6J9//sETTzyBvn37AhBXuvj555+LdXtSCXr2lDsCIiLlY1tKJLmqVati8uTJeO2116DVatGxY0dkZWVhz5498PLywogRIypVfkpKCiZNmoTnn38ehw8fxldffYVZs2ZVqsx33nkHTZo0wUsvvYQXXngBLi4u2L59O55++mnUqFEDPj4+WLhwIQICApCSkqKfS1NR4eHh6N27N55//nksWLAATk5OePXVV8vsgZo9ezYCAgLQrFkz5OXl4ddff4W/v79+CF1ISAi2bt2KDh06wNXVtcL7C+ns2bMHM2fOxIABA7BlyxasXr0af/zxBwCxZywqKgrTp09HaGgoMjIy8P777xu8Pjg4GCqVCr///jv69OkDd3d3VKlSxeCahg0b4oknnsDYsWPx3XffoWrVqnj77bdRu3ZtPPHEE0bFKzVZk6D27dtj4cKFOHv2LMLCwpCYmIjdu3dj9uzZJV6fn5+P/Px8/ePs7GwAYvdcSV10unPm7L6TzQ8/iD8V8t5sui4UhnVhPVgXVuDftpR1YR1YD4Y0Gg0EQYBWq5VkSJgxdEORdPc31tSpU+Hr64tp06bhwoUL8Pb2RosWLfDOO+8YvJ+H//vBnw/G8eC5YcOGIS8vD23btoWjoyNeeeUVjBkzptjrHnz88Gf48P0bNGiATZs24f3330fbtm3h7u6Otm3b4tlnnwUArFixAq+++ioaN26M8PBwzJkzB926ddO/vqT387BFixZh7Nix6Ny5M2rVqoX//e9/uHLlSqmxenp6YubMmUhOToaDgwPatGmD33//XX/N559/jsmTJ+P7779H7dq1ceHChRI/r9I+k0mTJuHAgQOYOnUqvLy8MGvWLPTo0UN/zQ8//ICxY8eiVatWCA8Px/Tp09G7d299fAEBAZgyZQrefvttjBw5EsOGDUNcXFyxey1atAivvvoq+vXrh4KCAnTq1Am///47HB0dS6z/0v4tPPicIAjQaDTFev+MaTtUgrkH3JVBq9Xi3XffxcyZM+Ho6IiioiJ8+umneOedd0q8fsqUKZg6dWqx8ytWrDBq2UYiIiIia+fk5AR/f38EBQXphx7Zu379+qFJkyb6/XLI/hQUFODKlSu4du0aCgsLDZ7Ly8tDTEwMsrKy4OXlVWY5svYErVq1Cj/99BNWrFiBRo0a4ejRo3j11VcRGBhYYlfpO++8g0mTJukfZ2dnIygoCD179izxjWo0GmzZsgU9evQoNuFK6VRLlwIAhEp2KVuKLdeF0rAurAfrQn66trQgJoZ1YQX4O2Ho/v37uHLlCqpUqaLf9NJSBEHA3bt3UbVqVatarMrJyQkuLi7lfsG1JdZaF3K5f/8+3N3d8cgjjxT7vdCNEqsIWZOgN954A2+//Taee+45AECTJk1w+fJlTJs2rcQkyNXVtdiqIoA4MaysxrK85xXpgw/En2PGyBuHkWyyLhSKdWE9WBcy+rct1f1BiXVhHVgPoqKiIqhUKjg4OBi9Qltl6YYh6e5vTawxJnOy5rqQg4ODg34lwYfbCWPaDVmToLy8vGKVqRsfSGQNevbsieHDh2Po0KFyh0JERGT34uPj5Q6BbISsSVD//v3x6aefom7dumjUqBGOHDmC2bNnY9SoUXKGRQQAuHLlCrZs2QJ/f38mQUREREQ2RNYk6KuvvsIHH3yAl156CRkZGQgMDMTzzz+PDz/8UM6wiAAAO3bsAACDHY2JiIiISPlkTYKqVq2KOXPmYM6cOXKGQVQiXZf7qVOnIAgCJyMSERER2QjOriIqRXx8POrVq4fc3FxcuXJF7nCIiIiISCJMgpTql1/Eg8wiNTUV58+fxwsvvACAQ+KIbBbbUiIiu8QkSKkeeUQ8yCx084GGDx8Od3d3JkFEtoptKRGRXWISRFSC+Ph4NGrUCLVq1UJERAROnjwpd0hERESK0aVLF7z66qtyh0FUKiZBStWxo3iQWcTHx6NLly4AALVazZ4gIlvFtpTIKi1ZsgTe3t5yh0E2jEmQUp0/Lx4kudTUVJw7dw6dO3cGAERGRuLkyZMQBEHmyIhIcmxLiYjsEpMgoofo5gPpkiC1Wo1bt27hxo0bcoZFRESkKIWFhZgwYQKqVasGX19ffPDBB/o/KObn52Py5MmoXbs2PD090a5dO/3WFPHx8Rg5ciSysrKgUqmgUqkwZcoUAMCPP/6I1q1bo2rVqvD390dMTAwyMjJkeoekZLLuE0RkjeLj4xEZGYmaNWsCEJMgQFwhTneOiIhILnl5wOnT5r2HVgvk5jrC0xNwcAAiIgAPD+PKWLp0KUaPHo39+/fj4MGDGDduHOrWrYuxY8diwoQJOHnyJFauXInAwECsW7cOvXv3xrFjx9C+fXvMmTMHH374Ic6cOQMAqFKlCgBAo9Hg448/Rnh4ODIyMjBp0iTExsbizz//lPojIBvHJIjoITt27ECPHj30jxs0aAAnJyecPHlS3ztEREQkl9OngVatzH0XBwBV9Y8OHQJatjSuhKCgIHz55ZdQqVQIDw/HsWPH8OWXX6JXr16Ii4tDSkoKAgMDAQCTJ0/Gpk2bEBcXh88++wzVqlWDSqWCv7+/QZmjRo3S/3e9evUwb948tGnTBjk5OfpEiagimAQRPSAtLQ3Jycn49NNP9eecnZ3RsGFDLo5ARERWISJCTErMSavVIjc3F56ennBwcEBEhPFlREVFQaVS6R9HR0dj1qxZOHbsGIqKihAWFmZwfX5+Pnx8fMos89ChQ5gyZQoSExNx+/ZtaLVaAEBKSgoiIyOND5LsFpMgpXqo4SBpPDwfSEetVnOZbCJbxLaUFMjDw/heGWNptUB2dhG8vMThcFLKycmBo6MjDh06BEdHR4PnyurNyc3NRa9evdCrVy/89NNP8PPzQ0pKCnr16oWCggJpgySbxyRIqf79sk7Seng+kE5kZCQWL14sU1REZDa6tlSjkTcOIhu0b98+g8cJCQlo2LAhWrRogaKiImRkZKBTp04lvtbFxQVFRUUG506fPo2bN29i+vTpCAoKAgAcPHjQPMGTzePqcEQPeHB/oAep1WpcvXoVWVlZlg+KiIhIgVJSUjBp0iScOXMGP//8M7766itMnDgRYWFhGDJkCIYPH461a9fi4sWL2L9/P6ZNm4Y//vgDABASEoKcnBxs3boVmZmZyMvLQ926deHi4oKvvvoKFy5cwIYNG/Dxxx/L/C5JqZgEKdX27eJBktHNBypp8QPdOGPOCyKyMWxLicxm+PDhuHfvHtq2bYvx48dj4sSJGDduHAAgLi4Ow4cPx+uvv47w8HAMGDAABw4cQN26dQEA7du3xwsvvIBnn30Wfn5+mDlzJvz8/LBkyRKsXr0akZGRmD59Or744gs53yIpGIfDKVVMjPgzPV3eOGxIafOBACA8PBwqlQqnTp1CVFSUpUMjInPRtaUpKfLGQWRjdHv+AMCCBQuKPe/s7IypU6di6tSppZaxYMGCYq8dPHgwBg8ebHCOm5mTKdgTRPSvHTt2QK1Wo1atWsWec3d3R0hICHuCiIiIiGwAkyCif5U2H0gnMjKSK8QRERER2QAmQUQArl69irNnz5aZBKnVavYEEREREdkAJkFEKHs+kI5arcbFixdx7949S4VFRERERGbAJIgI4lC40uYD6URGRkIQBJw5c8aCkRERERGR1Lg6nFLNnCl3BDYlPj4e3bp1K/MatVoNQFwmu3nz5haIiojMjm0pEZFdYhKkVMOGyR2BzUhPT8fZs2fxv//9r8zrqlWrhsDAQC6OQGRLdG2pRiNvHEREZFEcDkd2ryLzgXS4OAIRERGR8jEJUqqhQ8WDKi0+Ph4RERHw9/cv91q1Ws2eICJbwraUiMguMQlSqq1bxYMqrbz9gR4UGRmJ5ORkaDh0hsg2sC0lUpTY2FgMGDDA4vd95JFHsGLFCovf92EnT55EnTp1kJubK3coisckiOxaeno6zpw5U+EkSK1Wo7CwEOfPnzdvYERERAp37do1vPzyy6hXrx5cXV0RFBSE/v37Y+sDf3gICQnBnDlzSn1sDTZs2IDr16/jueee05+7f/8+xo8fDx8fH1SpUgWDBg3C9evXyyxHEAR8+OGHCAgIgLu7Ox599FEkJycbXPPpp5+iffv28PDwgLe3d7EyIiMjERUVhdmzZ0vy3uwZkyCya8bMBwLExgcAh8QRERGV4dKlS2jVqhW2bduGzz//HMeOHcOmTZvQtWtXjB8/Xu7wjDJv3jyMHDkSDg7/fW1+7bXX8Ntvv2H16tXYsWMHrl69iieffLLMcmbOnIl58+bh22+/xb59++Dp6YlevXrh/v37+msKCgrw9NNP48UXXyy1nJEjR2LBggUoLCys/JuzY0yCyK7Fx8cjPDy8QvOBAMDPzw81atTg4ghERERleOmll6BSqbB//34MGjQIYWFhaNSoESZNmoSEhATJ7pOfn49XXnkFNWvWhJubGzp27IgDBw7on2/dujW++OIL/eMBAwbA2dkZOTk5AIDU1FSoVCqcO3euxPJv3LiBbdu2oX///vpzWVlZWLRoEWbPno1u3bqhVatWiIuLwz///FPqexMEAXPmzMH777+PJ554Ak2bNsWyZctw9epVrF+/Xn/d1KlT8dprr6FJkyalvucePXrg1q1b+j/kkmmYBJFdM2Y+EACoVCoujkBERPILCCj5GDXqv2t++KH06/7557/roqOLPa+qXRuejz9uUmi3bt3Cpk2bMH78eHh6ehZ7vqRhXqZ68803sWbNGixduhSHDx9GgwYN0KtXL9y6dQuAONIjPj4egJiI7Nq1C97e3ti9ezcAcURI7dq10aBBgxLL3717Nzw8PPR7BQLAoUOHoNFo8Oijj+rPRUREoG7duti7d2+J5Vy8eBHXrl0zeE21atXQrl27Ul9TGhcXFzRv3hy7du0y6nVkiEmQUrm4iAeZ7Nq1a0bNB9KJjIxkTxCRrWBbSiS5c+fOQRAEREREmPU+ubm5WLBgAT7//HM89thjiIyMxPfffw93d3csWrQIANClSxfs3r0bRUVFSEpKgouLC4YMGaJPjOLj48scEn/58mXUqlXLYCjctWvX4OLiUiyZq1WrFq5du1ZiObrztWrVqvBryhIYGIjLly8b/Tr6DzdLVSr+w680Y+cD6ajVaixfvhxardagUSQiBdK1pVzxkZQmPb38a8aMEY/ylNATIWi1yM3OhpcJoQmCYMKrjHf+/HloNBp06NBBf87Z2Rlt27bV/7GyU6dOuHv3Lo4cOYJ//vkHnTt3RpcuXTB9+nQA4neBN954o9R73Lt3D25ubuZ9IyZwd3dHXl6e3GEoGr/Bkd3SzQcKCAgw6nVqtRr37t3jX2CIiIhK0LBhQ6hUKpw+fVruUODt7Y1mzZohPj4eO3bsQJcuXfDII4/gyJEjOHv2LJKTk8v8Y6ivry9u375tcM7f3x8FBQW4c+eOwfnr16+XOsdYd/7hFeTKek1Zbt26BT8/P6NfR/9hEqRUFy+KB5nM2PlAOroV4jgkjsgGsC0lklyNGjXQq1cvfP311yXuZ/Nw8mCq+vXrw8XFBXv27NGf02g0OHDggP7/1YA44mP79u3YuXMnunTpgho1akCtVuPTTz9FQEAAwsLCSr1HixYtcO3aNYNEqFWrVnB2djZY6vvMmTNISUlBdHR0ieWEhobC39/f4DXZ2dnYt29fqa8py/Hjx9GiRQujX0f/YRKkVO3biweZ5Nq1azh9+rRJSVBQUBA8PT2ZBBHZAralRGbx9ddfo6ioCG3btsWaNWuQnJyMU6dOYd68eSZ96S+Jp6cnXnzxRbzxxhvYtGkTTp48ibFjxyIvLw+jR4/WX9elSxds3rwZTk5O+nlKXbp0wU8//VTukPgWLVrA19fXINGqVq0aRo8ejUmTJmH79u04dOgQRo4ciejoaERFRemvi4iIwLp16wCICyu9+uqr+OSTT7BhwwYcO3YMw4cPR2BgoMHmrykpKTh69ChSUlJQVFSEo0eP4ujRo/rV7ABx+fG0tDSDRRbIeJwTRHbJ1PlAAFeIIyIiKk+9evVw+PBhfPrpp3j99deRnp4OPz8/tGrVCgsWLJDsPtOnT4dWq8WwYcNw9+5dtG7dGps3b0b16tX113Tq1Alardbg//ldunTB3Llzy/1jqKOjI0aOHImffvoJ/fr105//8ssv4eDggEGDBiE/Px+9evXCN998Y/DaM2fOICsrS//4zTffRG5uLsaNG4c7d+6gY8eO2LRpk8Gcow8//BBLly7VP9b19vz2228IDAwEAPz888/o2bMngoODjfik6GFMgsguxcfHIywszOj5QDpqtZo9QURERGUICAjA/PnzMX/+/FKvuXTpUpmPH7ZkyRKDx25ubpg3bx7mzZtX6mtq1KgBrVZrcG7AgAEVXsDhtddeQ6NGjXD58mV94uHm5oavv/4aX3/9damve7h8lUqF//3vf/jf//5X6muWLFlS7D1qtVpkZ2cDEDdT/fbbb7FixYoKxU6l43A4sku6yZGm0vUEWWoFHCIiIpKHv78/Fi1ahJSUFLlDQUpKCt59912DFfHINOwJIrtz/fp1nDp1Ch988IHJZURGRiIrKwvXrl0zuTeJiIiIlOHBeTtyatCgQakbu5Jx2BNEdqcy84F0dDtHc0gcERERkfKwJ0ipXnxR7ggUSzcfSDfB0BT16tWDi4sLTp48iW7dukkYHRFZFNtSIiK7xCRIqT78UO4IFMvU/YEe5OTkhLCwMPYEESmdri3VaOSNg4iILIrD4ciu6OYDVTYJAsBlsomIiIgUikmQUr3/vniQUaSYD6QTGRnJniAipWNbSkRkl5gEKdWiReJBRtmxYwcaNmxYqflAOmq1GtevX8etW7ckiIyIZMG2lIjILjEJIrsixXwgHa4QR0RERKRMTILIbmRkZODkyZOSJUFhYWFwcHBgEkRERGQhsbGx5e7ZExISgjlz5lS4zEuXLkGlUuHo0aNGx7N161ao1WoUFRUZ/VqpPffcc5g1a5bcYSgGkyCyG1LOBwIANzc31KtXj4sjEBERleDatWt4+eWXUa9ePbi6uiIoKAj9+/fH1q1b9dc8nLAYm8CU5MCBAxg3blylyqioN998E++//z4cHR315+Lj49GyZUu4urqiQYMGWLJkSbnlJCUloVOnTnBzc0NQUBBmzpxp8PypU6fw1FNPISQkBCqVqsTP6P3338enn36KrKysyr4tu8AkiOxGfHw8GjZsiNq1a0tWJhdHICIiKu7SpUto1aoVtm3bhs8//xzHjh3Dpk2b0LVrV4wfP96s9/bz84OHh4dZ7wEAu3fvxvnz5zFo0CD9uYsXL6Jv377o2rUrjh49ildffRVjxozB5s2bSy0nOzsbPXv2RHBwMA4dOoTPP/8cU6ZMwcKFC/XX3Lt3D/Xq1cP06dPh7+9fYjmNGzdG/fr1sXz5cunepA1jEkR2Q8r5QDpqtZpJEBER0UNeeuklqFQq7N+/H4MGDUJYWBgaNWqESZMmISEhodLlf/HFFwgICICPjw/Gjx8PzQN7fT3cm3T69Gl07NgRbm5uiIyMxN9//w2VSoX169cblHnhwgV07doVHh4eaNasGfbu3VtmDCtXrkSPHj3g5uamP/ftt98iNDQUs2bNglqtxoQJE/DUU0/hyy+/LLWcn376CQUFBVi8eDEaNWqE5557Dq+88gpmz56tv6Zly5aYOXMmnnvuObi6upZaVv/+/bFy5coy4yYRkyClOnRIPKhCdPOBpBoKp6NWq3H58mXk5ORIWi4RWQjbUlKqgICSj1Gj/rvmhx9Kv+6ff/67Ljq62POq2rXh+fjjJoV269YtbNq0CePHj4enp2ex5729vU0qV2f79u04f/48tm/fjqVLl2LJkiWlDjkrKirCgAED4OHhgX379mHhwoV47733Srz2vffew+TJk3H06FGEhYVh8ODBKCwsLDWOXbt2oXXr1gbn9u7di0cffdTgXK9evcpMqPbu3YtHHnkELi4uBq85c+YMbt++XerrStK2bVvs378f+fn5Rr3OHjEJUqrAQPGgCpF6PpBOZGQkAODMmTOSlktEFsK2lEhy586dgyAIiIiIMEv51atXx/z58xEREYF+/fqhb9++BvOMHrRlyxacP38ey5YtQ7NmzdCxY0d8+umnJV47efJk9O3bF2FhYZg6dSouX76Mc+fOlRrH5cuXi225ce3aNdSqVcvgXK1atZCdnY179+6VWE5pr9E9Z4zAwEAUFBQY/Tp75CR3AESWsGPHDjRo0AB16tSRtFxdA3/q1Cm0atVK0rKJiIhKlZ5e/jVjxohHeUropRC0WuRmZ8PLhNAEQTDhVRXXqFEjg4UIAgICcOzYsRKvPXPmDIKCggzm0bRt27bEa5s2bWpQJiCOJCktmbt3757BUDhr4O7uDgDIy8uTORLrx54gpdJ1WVOFmGM+EABUrVoVderU4QpxRErFtpRIcg0bNoRKpcLp06fNUr6zs7PBY5VKBa1WK2m5KpUKAMos19fXt9hwNX9/f1y/ft3g3PXr1+Hl5aVPUB5W2mt0zxlDt4G7n5+fUa+zR0yCyOZlZGTgxIkTZkmCAK4QR0RE9KAaNWqgV69e+Prrr5Gbm1vs+Tt37lgslvDwcFy5csUgyThw4IAkZbdo0aLYH0Gjo6OLDc3bsmULoqOjSy0nOjoaO3fuNFjcYcuWLQgPD0f16tWNiun48eOoU6cOfH19jXqdPWISRDZv586dAKSfD6SjVqvZE0RERPSAr7/+GkVFRWjbti3WrFmD5ORknDp1CvPmzSszIZBajx49UL9+fYwYMQJJSUnYs2cP3n//fQD/9faYqlevXti9e7fBuRdeeAEXLlzAm2++idOnT+Obb77BqlWr8Nprr+mvmT9/Prp3765/HBMTAxcXF4wePRonTpzAL7/8grlz52LSpEn6awoKCnD06FEcPXoUBQUFSEtLw9GjR4vNWdq1axd69uxZqfdlL5gEkc2Lj483y3wgncjISJw/fx4FBQVmKZ+IiEhp6tWrh8OHD6Nr1654/fXX0bhxY/To0QNbt27FggULLBaHo6Mj1q9fj5ycHLRp0wZjxozRrw5X2fk8Q4YMwYkTJwwWRwoNDcUff/yBLVu2oFmzZpg1axZ++OEH9OrVS39NZmYmzp8/r39crVo1/PXXX7h48SJatWqF119/HR9++KHBhq/Xrl1Dq1at0KJFC6Snp+OLL75AixYtMOaBOV/379/H+vXrMXbs2Eq9L3vBhRHI5plrPpCOWq1GUVERkpOT0ahRI7Pdh4iISEkCAgIwf/58zJ8/v9RrLl26VObjh5W0FPaDewKVVEZERIRBj82ePXsAAA0aNAAg7iv08GIO3t7e5S7wUKNGDUyYMAGzZ8/Gd999pz/fpUsXHDlypNTXTZkyBVOmTDE417RpU+zatavU19StWxdFRUVwcCi9/yIuLg5t27ZFVFRUmXGTiD1BZNNu3LiBEydOmG0oHCAmQQA4JI6IiMgKrVu3Dlu2bMGlS5fw999/Y9y4cejQoQPq169f6bLfe+89BAcHS7IwQ2U5Ozvjq6++kjsMxWBPkFI99pjcESiCuecDAeLqMH5+flwcgUiJ2JYS2by7d+/irbfeQkpKCnx9ffHoo49i1qxZkpTt7e2Nd999V5KyKmtMRZZDJz1Zk6CQkBBcvny52PmXXnoJX3/9tQwRKcjixXJHoAjx8fGoX78+goKCzHofLo5ApFC6tvSBVZmIyLYMHz4cw4cPlzsMsjKyJkEHDhxAUVGR/vHx48fRo0cPPP300zJGRbbE3POBdNRqNfaWsNkcEREREVkfWecE+fn5wd/fX3/8/vvvqF+/vlmHLtmMH34QDyrVjRs3cPz4cYskQZGRkThz5oxBUk9ECsC2lBSgvAn6RPZEqt8Hq5kTVFBQgOXLl2PSpEmlrtuen5+P/Px8/ePs7GwAgEajMdhgSkd3rqTnlM7pgw8AAIUjRsgcScXIURfbtm0DALRv397s923YsCHy8/Nx9uxZ/Woz1sqWfy+UhnUhP11bqomJEX+yLmTF34niBEFATk4OXF1dLX5f3U9rmPRvz1gXhnJycvSfycNthTFth9UkQevXr8edO3cQGxtb6jXTpk3D1KlTi53/66+/4OHhUerrtmzZIkWIVqXXv8ng5j//lDkS41iyLpYtWwZ/f38cO3YMx44dM+u9bt68CQBYvnw52rZta9Z7ScUWfy+UinUhH11bqqsD1oV1YD38p2rVqsjPz8f9+/fh4uJS6Q0+jaX7/xvJz97rQhAEFBQUIDMzE7dv30ZycnKxa/Ly8ipcnkqwkj7WXr16wcXFBb/99lup15TUExQUFITMzEx4eXkVu16j0WDLli3o0aMHnJ2dzRK3XJzq1gUAFKakyBxJxchRFy1atECbNm2wcOFCs99LEAT4+vri7bffxhtvvGH2+1WGLf9eKA3rQn66tvTe+fOsCyvA34niBEFARkaGfvSLJe97//59uLm5WTzxIkOsC0NeXl6oWbNmiZ9FdnY2fH19kZWVVWJu8CCr6Am6fPky/v77b6xdu7bM61xdXUvsDnZ2di6zsSzveSVT2vuyVF1kZmbixIkTeOuttyz2GanVapw9e1YxdWLLvxdKw7qQn+7zZ11YB9aDoTp16qCoqMiiwwQ1Gg127tyJRx55hHUhM9bFf5ydneHo6Fjm8xVlFUlQXFwcatasib59+8odCtkIS+wP9LDIyEguk01ERGbh6OhY5pc/c9yvsLAQbm5udv/FW26sC/OQdXU4ANBqtYiLi8OIESPg5GQVORnZgPj4eNSrVw91/x3qYglqtRqnTp3iKj5EREREVk72rOPvv/9GSkoKRo0aJXcoyrJmjdwRWDVL7Q/0oMjISNy9exdpaWmoU6eORe9NRCZiW0pEZJdkT4J69uzJv5ybon17uSOwWpmZmTh27JjFFyhQq9UAgFOnTjEJIlIKXVvKJZmJiOyK7MPhiKQmx3wgAAgJCYGrqyvnBRERERFZOSZBShUdLR5UjBzzgQBx4mJERAROnTpl0fsSUSWwLSUiskuyD4cjE126JHcEVmvHjh0W7wXSUavV7AkiUhK2pUREdok9QWRTbt68iaSkJIsviqCjWyGOiIiIiKwXkyCyKXLNB9KJjIxEZmYmbty4Icv9iYiIiKh8TILIpsTHxyM0NBTBwcGy3P/BFeKIiIiIyDoxCSKbIsf+QA9q2LAhHB0dmQQRERERWTEujKBU//Y40H9084Fef/112WJwcXFBgwYNuDgCkVKwLSUisktMgpRq2za5I7A6cs8H0uHiCEQKomtLuVkqEZFd4XA4shk7duxASEiIbPOBdCIjI5kEEREREVkxJkFK9fff4kF6cs8H0lGr1UhNTUV2drbcoRBRediWEhHZJSZBSjVsmHgQAODWrVuy7g/0IN0KcadPn5Y5EiIqF9tSIiK7xCSIbMLOnTshCILs84EAICIiAgCXySYiIiKyVkyCyCbEx8cjJCQEISEhcocCT09PBAcHc4U4IiIiIivFJIhsgrXMB9Lh4ghERERE1otJECmeNc0H0lGr1ewJIiIiIrJSTIJI8Xbt2mU184F01Go1Ll68iPv378sdChERERE9hJulKtUXX8gdgdWIj49HcHCwVcwH0omMjIRWq8XZs2fRtGlTucMhotKwLSUisktMgpRqyBC5I7Aa1jYfCPhvmeyTJ08yCSKyZrq2VKORNw4iIrIoDocjRbt16xYSExOtLgmqXr06/P39uTgCERERkRViEqRUgweLh53TzQeytiQI4OIIRIrAtpSIyC5xOJxSxcfLHYFVsMb5QDpqtRo7duyQOwwiKgvbUiIiu8SeIFI0a5wPpBMZGYmzZ8+isLBQ7lCIiIiI6AFMgkixbt++bZXzgXTUajU0Gg3Onz8vdyhERERE9AAmQaRY1rg/0IN0K8RxcQQiIiIi68IkiBQrPj4edevWtcr5QADg7+8Pb29vLo5AREREZGW4MIJSubvLHYHsdPOBVCqV3KGUSKVSQa1WsyeIyJqxLSUiskvsCVKqCxfEw07dvn0bR48etdr5QDqRkZFMgoismZ23pURE9opJECmSNe8P9CBdT5BWq5U7FCIiIiL6F5MgpTp3TjzslLXPB9JRq9XIy8vDlStX5A6FiEpi520pEZG94pwgperUSfyZni5vHDLZsWOHVc8H0omMjAQgrhAXHBwsczREVIyuLU1JkTcOIiKyKPYEkeLcuXMHR44csdqlsR9Ut25deHh4cIU4IiIiIivCJIgURynzgQDAwcEB4eHhXByBiIiIyIowCSLFiY+PR1BQEEJDQ+UOpUIiIyPZE0RERERkRZgEkeJY+/5AD9OtECcIgtyhEBERERGYBJHC6OYDKWEonE5kZCRu376NjIwMuUMhIiIiInB1OOV6+WW5I5CFkuYD6ajVagDAyZMnUatWLZmjISIDdtqWEhHZOyZBSvXuu3JHIAulzQcCgPr168PJyQmnTp1C165d5Q6HiB6ka0s1GnnjICIii+JwOFKUHTt2oHPnzoqZDwQAzs7OCAsL4+IIRERERFaCSZBSvfOOeNgRJc4H0tEtjkBEVsYO21IiImISpFxLloiHHdm9eze0Wq0ik6DIyEgmQUTWyA7bUiIiYhJEChIfH486deqgXr16codiNLVajfT0dNy5c0fuUIiIiIjsHpMgUgyl7Q/0IN0KcewNIiIiIpIfkyBSBCXPBwKA8PBwqFQqLo5AREREZAWYBJEiHD58GFqtFh06dJA7FJO4u7sjNDSUPUFEREREVoBJECnClStXAAAhISHyBlIJXCGOiIiIyDpws1SlOnpU7ggsKjU1Fb6+vnBzc5M7FJNFRkZi9erVcodBRA+ys7aUiIhETIKUqlYtuSOwqNTUVNSpU0fuMCpFrVbj8uXLyMvLg4eHh9zhEBHwX1uq0cgbBxERWRSHwylVYaF42Im0tDTFJ0GRkZEQBAFnzpyROxQi0rGztpSIiERMgpQqKEg87ERqaipq164tdxiVEhERAQBcIY7ImthZW0pERCImQaQItjAcrlq1aggMDOTiCEREREQyYxJEVi8/Px83btxQfBIEiEPi2BNEREREJC8mQWT1rl69CgA2kQRxmWwiIiIi+TEJIquXmpoKAIqfEwSISdC5c+dQUFAgdyhEREREdotJEFk9XRJkCz1BkZGRKCwsxLlz5+QOhYiIiMhucZ8gperXT+4ILCY1NRVeXl6oWrWq3KFUmlqtBgCcOnUKkZGRMkdDRPbUlhIR0X+YBCnV99/LHYHF2MIeQTp+fn7w8fHByZMnMWjQILnDISJdW8rNUomI7AqHw5HVs4U9gnRUKhUXRyAiIiKSGZMgpfruO/GwA7awR9CDmAQRWRE7akuJiOg/TIKUasoU8bADtpYERUZG4vTp0ygqKpI7FCKyo7aUiIj+I3sSlJaWhqFDh8LHxwfu7u5o0qQJDh48KHdYZCUKCwtx7do1m0qC1Go17t+/j8uXL8sdChEREZFdknVhhNu3b6NDhw7o2rUrNm7cCD8/PyQnJ6N69epyhkVW5Pr16ygqKrKZOUEA9KvCnTx5EvXq1ZM5GiIiIiL7I2sSNGPGDAQFBSEuLk5/LjQ0VMaIyNrY0h5BOnXq1EGVKlVw6tQp9OPyvEREREQWJ2sStGHDBvTq1QtPP/00duzYgdq1a+Oll17C2LFjS7w+Pz8f+fn5+sfZ2dkAAI1GA00Jy5vqzpX0nNLpKq5QIe/N1Lq4dOkSAKBWrVo2VY/h4eE4ceKELO/Jln8vlIZ1IT9dW8q6sA6sB+vBurAerIuKM+YzUgmCIJgxljK5ubkBACZNmoSnn34aBw4cwMSJE/Htt99ixIgRxa6fMmUKpk6dWuz8ihUr4OHhYfZ4rUmvkSMBAJsf6EWzRb///juWLVuGX375BSqVSu5wJDN37lykpaVh5syZcodCZNfspS0lIrIHeXl5iImJQVZWFry8vMq8VtYkyMXFBa1bt8Y///yjP/fKK6/gwIED2Lt3b7HrS+oJCgoKQmZmZolvVKPRYMuWLejRowecnZ3N8yZkotq/HwAgtG0rcyQVY2pdvP322/i///s/m1tSeubMmZg5cyZu3Lhh8eTOln8vlIZ1IT9dW1rQogXrwgrwd8J6sC6sB+ui4rKzs+Hr61uhJEjW4XABAQH6SeI6arUaa9asKfF6V1dXuLq6Fjvv7Oxc5j+K8p5XpA4d5I7AJMbWRXp6OurUqWNz9de4cWNkZ2cjMzMTgYGBssRgk78XCsW6kNG/banw7xAK1oV1YD1YD9aF9WBdlM+Yz0fWJbI7dOiAM2fOGJw7e/YsgoODZYqIrI2t7RGk8+AKcURERERkWbImQa+99hoSEhLw2Wef4dy5c1ixYgUWLlyI8ePHyxmWMrRpIx42Li0tzSaToNDQULi4uNjcMD8ixbGTtpSIiAzJOhyuTZs2WLduHd555x3873//Q2hoKObMmYMhQ4bIGZYy/Lt0tC0TBAGpqak2tUeQjpOTE8LDw9kTRCQ3O2hLiYioOFmTIADo168f90qhEmVmZqKgoMAme4IAcf4be4KIiIiILE/W4XBEZUlLSwNgWxulPohJEBEREZE8mASR1Ur9d5iKLQ6HA8TFETIyMnDz5k25QyEiIiKyK0yCyGqlpqbC0dERtWrVkjsUs1Cr1QDA3iAiIiIiC5N9ThCZqEkTuSMwu9TUVAQGBsLR0VGW+wsCcPIkcOSIOHdaEIDq1YHISHExKXf3ypUfFhYGBwcHnDx5Eh07dpQmaCIyjh20pUREVByTIKX66y+5IzA7uZbHvn4d+OYbYPHi/xaO8vYGHB2BO3eAoiLAwwPo0weYOFHca1GlMv4+rq6uqF+/PnuCiOSka0v/3SyViIjsA4fDkdWy9PLYGg3w2WdA/frA7NlAv37A5s1AdjZw+zaQmQnk5QGJicBHHwHHjwOdOgFdugBJSabdk4sjEBEREVkekyCl2rxZPGxYamqqxXqCLl4EHnkE+PBD4PnngZQUYMECoGdPoGrV/65zcQGaNgXefBM4cQL47TcgIwNo2RJ4/32gsNC4+0ZGRnKvICI52UFbSkRExXE4nFLFxoo/09NlDcOcLJUEJSQAffsC1aoBu3cDUVEVe52Dg9hb1LMnMGMGMGUKsGsXsGoVUNG1HNRqNa5cuYKcnBxUqVLF5PdARCbStaUpKbKGQURElsWeILJK2dnZyMnJMXsStGUL0L27uNjBoUMVT4Ae5OICfPABEB8PnD0LREcDyckVe61uhbjTp08bf2MiIiIiMgmTILJKltgjKCEBeOIJcU7P5s3iym+V0akTsHcv4OoKtG8vzhkqT0REBABwSBwRERGRBTEJIqukS4LM1RN0+rQ4BK51a+DXX8XV3qQQEiIOqatTB3j0UbFnqCxVq1ZFUFAQF0cgIiIisiAmQWSVdElQYGCg5GXfvQsMGAD4+wMbNlR+v5+H+fiIq+7WqCEOtbtypezruTgCERERkWUxCSKrlJaWhlq1asHFxUXScgUBGDMGuHoVWLtW3P/HHPz8gK1bxb2F+vcHcnJKv5bLZBMRERFZFleHU6o5c+SOwKzMtUfQokXi6m2rVwPh4ZIXbyAgQOxp6tABGDYMWLNGXFHuYWq1GvPmzUN+fj5cXV3NGxQRGbLxtpSIiErGniClevZZ8bBR5lgeOyUFmDQJGD0aeOopSYsuVdOmwIoVwP/9n7gRa0kiIyOh1WpxtrwJREQkPRtvS4mIqGRMgsgqSZ0ECQIwbhzg5QXMmiVZsRXSvz/w3nvARx+J+wg9TLdMNofEEREREVkGkyCleuYZ8bBRaWlpkiZBP/4oLoO9cKG4KaqlffSROCwuJga4edPwOR8fH/j5+XFxBCI52HhbSkREJeOcIKUqqUvBRty7dw83b96UbE7Q3bvAW2+J33P69JGkSKM5OYnD4po1ExdmWLsWUKn+ez4yMpI9QURysOG2lIiISseeILI6aWlpAKTbI2jaNODOHWDmTEmKM1mdOsD33wPr1wMrVxo+xxXiiIiIiCyHSRBZHSk3Sr14EZg9G3jjDSA4uNLFVdqTT4o9UhMmANev/3c+MjISZ86cQWFhoXzBEREREdkJJkFkdXQ9QVIMh/vgA3Hz0rfeqnRRkpk/X1wq+6WXxAUbALEnqKCgABcvXpQ3OCIiIiI7wCSIrE5qaiq8vb3h6elZqXJOnRLn4XzwAVDJoiTl5wd8/bU4L+i338RzuhXiuDgCERERkfkxCVKqKlXEwwZJtTz21KlAUBAwapQEQUns6aeBXr2AiROBe/eAwMBAeHl5cV4QkaXZcFtKRESlYxKkVMnJ4mGDpEiCjh0DVq0Se4FcXCQKTEIqFTBvHpCWBsyYAahUKi6OQCQHG25LiYiodEyCyOpIsUfQp58CISHAiBHSxGQOYWHA5MnA9OnAhQvikDgOhyMiIiIyPyZBSnXmjHjYoNTU1EotinDxIrB6tbginLOzhIGZwXvvATVrAq+9Jq4Qd/r0aQi61RKIyPxsuC0lIqLSMQlSqi5dxMPGaDQaXLt2rVI9QXPmANWrW3cvkI6nJ/DFF8CGDUBhYUfk5OTolwgnIguw0baUiIjKxiSIrEp6ejoEQTA5Cbp1C/jhB2D8eMDDQ+LgzOTpp4G2bYGff24BQMUhcURERERmxiSIrIpujyBTk6BvvwWKisQkSClUKuDzz4Fjx9zg7DyEiyMQERERmRmTILIquqFgpswJKiwEvvkGGDZMnGejJI88Ajz+OKBSTcOxY2flDoeIiIjIpjEJIquSmpoKDw8PeHt7G/3a338Xl5x+6SXp47KE6dMBjSYQ27eHyx0KERERkU1jEkRWRbdHkEqlMvq1334LtGsHtGhhhsAsQK0GWrRIxKVLg5GTwxXiiIiIiMyFSZBSTZwoHjbG1D2CLlwANm8GXnjBDEFZ0OjR1yAI1fHFFzlyh0JkH2y0LSUiorI5yR0Amejtt+WOwCxSU1NRr149o1/33XeAtzfw7LPSx2RJXboEA4jD3LmxeOMNcQltIjIjXVuq0cgbBxERWRR7gsiq6IbDGSM/H1i8GIiNBdzdzROXpTRo0AAODtNx964jvv5a7miIiIiIbBOTIKV64w3xsCFardak4XC//w5kZgLjxpkpMAtycXFBWJgr1Oq9mDkTuHtX7oiIbJwNtqVERFQ+JkFKtXy5eNiQGzduoLCw0OgkaNkycbNRtdpMgVmYWq2Gt/c3uHsXmD9f7miIbJwNtqVERFQ+JkFkNUzZI+jGDeDPP4Hhw80VleU1btwYZ878jdhYAV9+Cdy7J3dERERERLaFSRBZDV0SZExP0M8/AyqV8hdEeFC7du1w48YNPPfcFdy8CcTFyR0RERERkW1hEkRWIzU1Fc7OzvDz86vwa5YtA/r2BXx9zRiYhbVr1w4AcPXqLjzzDPD550BhocxBEREREdkQJkFkNdLS0lC7dm04OFTsn+WJE8ChQ8CIEWYOzMJ8fX3RsGFDJCQk4K23gEuXgFWr5I6KiIiIyHYwCSKrkZqaatR8oOXLgRo1gD59zBiUTKKjo7F37140bw489hgwfTogCHJHRURERGQbmAQp1fHj4mFDjNkjSBDE3pGnngJcXMwcmAyioqKQmJiIvLw8vP02cOwYsHGj3FER2SAbbEuJiKh8TIKUysdHPGyIMXsEHT4MXLgAPP20mYOSSXR0NAoLC3Ho0CF06gRERwPTpskdFZENssG2lIiIysckSKny88XDRgiCYFRP0OrV4mIIXbqYNy65NG7cGJ6enkhISIBKBbz5JrB7N3DggNyREdkYG2tLiYioYpgEKVVIiHjYiDt37iAvL69Cc4J0Q+GefBJwcrJAcDJwcnJCmzZtsHfvXgBA//5AvXrA3LkyB0Zka2ysLSUioophEkRWwZg9gg4fBi5etN2hcDpRUVHYu3cvBEGAoyPwyivAL78AaWlyR0ZERESkbEyCyCqk/fvNviJJ0KpVtj0UTic6OhrXrl1DSkoKAGDkSMDdHfjmG5kDIyIiIlI4JkFkFVJTU+Hg4AB/f/8yr7OHoXA6UVFRAICEhAQAgJcXMHo08O23QF6enJERERERKRuTILIKqampqFWrFpydncu87vBhcfNQWx8KBwA1a9ZEvXr19POCAHFI3J074h5JRERERGQaJkFkFSq6Mtz//R9QvTrQubMFgrICuk1TdUJDgSeeAObM4eapRERERKZiEqRUAwaIh42o6B5BGzYAffoA5XQY2YyoqCgcOXIE9+/f15979VXg1Cngr7/ki4vIZthYW0pERBXDJEipFiwQDxuRmppa7vLYly8DiYnA449bKCgrEB0dDY1Gg8OHD+vPdeoEtGgBzJ8vY2BEtsLG2lIiIqoYJkFkFSoyHO6338QeoF69LBSUFWjatCnc3d31iyMAgEoFvPQS8Mcf4vwoIiIiIjIOkyCl+uYbm1krOTc3F3fu3Ck3CdqwQVwWu1o1y8RlDZydndG6dWuDeUEAMHiwuFrcd9/JFBiRrbChtpSIiCqOSZBSffyxeNiAiuwRlJ0NxMfb11A4naioKIOeIADw9ARiY4EffgDy8+WJi8gm2FBbSkREFcckiGSXmpoKAGXOCdq8GdBogP79LRWV9YiOjkZqaqr+c9J58UUgMxP49VeZAiMiIiJSKCZBJLuKJEEbNgDNmgHBwZaKyno8vGmqTng40L0753QTERERGYtJEMkuNTUVPj4+cHd3L/H5wkLgzz/tsxcIAAICAhAcHFxsXhAg9gbt2SOumkdEREREFSNrEjRlyhSoVCqDIyIiQs6QSAbl7RF04ABw65a4P5C9KmleECDOkQoMZG8QERERkTFk7wlq1KgR0tPT9cfu3bvlDoksrLw9gjZvBry9gTZtLBeTtYmOjsahQ4dQUFBgcN7ZGRg3Dli+HMjKkik4IiIiIoWRPQlycnKCv7+//vD19ZU7JGX47TfxsAHl7RG0eTPQowfg5GTBoKxMdHQ08vPzceTIkWLPjR0L3L8vJkJEZCQbakuJiKjiZP9amZycjMDAQLi5uSE6OhrTpk1D3bp1S7w2Pz8f+Q+sB5ydnQ0A0Gg00Gg0xa7XnSvpOcVr1kz8qZD3VlZdpKamon///iU+d+sWsH+/E0aOLIJGI5g9TmvVqFEjuLq6Ys+ePWjZsqXBc35+QN++jli4UIWxYwuhUpVdlk3/XigM68IK/NuWsi6sA+vBerAurAfrouKM+YxUgiDI9s1y48aNyMnJQXh4ONLT0zF16lSkpaXh+PHjqFq1arHrp0yZgqlTpxY7v2LFCnh4eFgiZJKYRqPB008/jZdffhndu3cv9vzu3YH44os2+OGHzfD1vS9DhNbj7bffhq+vLyZPnlzsuYMHa+KTT6LxxRc70KDBHcsHR0RERCSzvLw8xMTEICsrC15eXmVeK2sS9LA7d+4gODgYs2fPxujRo4s9X1JPUFBQEDIzM0t8oxqNBlu2bEGPHj3g7Oxs1tgtzaltWwBA4f79MkdSMaXVxaVLlxAWFoY//vgDPXr0KPa6ceMcsX+/CkePFloyXKv05ptvYt26dUhOTi72XFER0LChE3r31uKbb7RllmPLvxdKw7qQn64tvbdnD+vCCvB3wnqwLqwH66LisrOz4evrW6EkSPbhcA/y9vZGWFgYzp07V+Lzrq6ucHV1LXbe2dm5zH8U5T2vSNeuAYDi3tfDdXH9+nUAQEhISLH3IgjAX38Bzz2nvPdpDh06dMCcOXOQmZmJgIAAg+ecnYFRo4DZsx3x5ZeOqFKl/PJs8vdCoVgXMnqoLWVdWAfWg/VgXVgP1kX5jPl8ZF8Y4UE5OTk4f/58sS94ZLt0G6WWtDDCiRPA1atA796Wjso6lbZpqs7IkUBuLrBqlSWjIiIiIlIeWZOgyZMnY8eOHbh06RL++ecfDBw4EI6Ojhg8eLCcYZEFpaWloWrVqiV2WW7aBLi7A506yRCYFapTpw7q1KlT4qapABASIq6i98MPlo2LiIiISGlkTYJSU1MxePBghIeH45lnnoGPjw8SEhLg5+cnZ1hkQWXtEbR5M9ClC+DmZtmYrFlpm6bqjB0L7N0r9qIRERERUclkTYJWrlyJq1evIj8/H6mpqVi5ciXq168vZ0hkYaXtEXTvHrBrF9CzpwxBWbHo6GgcPHiw1CUgH39cXDKbvUFEREREpbOqOUFkhGbN/tsrSMFKS4L++QfIzwcefVSGoKxYdHQ07t27h6SkpBKfd3EBRowAli0TPz8iKoeNtKVERGQcJkFKtWmTeChcWlpaiUnQtm1ij0ajRjIEZcVatGgBZ2fnUucFAcDo0eIms+vWWTAwIqWykbaUiIiMwySIZFNUVISrV6+WOCdo+3aga1dApZIhMCvm5uaGli1blpkERUQAHTsC339vwcCIiIiIFIRJkFL9+ad4KNj169dRVFRUrCfo7l1g/36gWzeZArNy5S2OAABjxoi9aZcuWSYmIsWygbaUiIiMxyRIqUaPFg8FK22PoF27gKIiJkGliY6OxoULF5CRkVHqNYMGAZ6e4twgIiqDDbSlRERkPCZBJJu0tDQAxZOgbduAOnWABg3kiMr6lbdpKgBUqQI8/TSwdCkgCJaKjIiIiEgZmASRbFJTU+Hq6gofHx+D89u2ib1AnA9Usrp16yIgIKDMeUEAEBsLXLgA7N5tmbiIiIiIlIJJEMlGt1Gq6oFs59Yt4OhRcVEEKplKparQvKBOnYDQUGDJEsvERURERKQUTIJINiXtEbRjhzh8i0lQ2aKjo7F//34UFhaWeo2Dg7hn0KpVQG6uBYMjIiIisnJMgkg2Je0RtG0bUL8+EBwsU1AKER0djby8PBw/frzM64YPB3JygLVrLRQYERERkQI4yR0Ameirr+SOoNJSU1PRtm1bg3O6+UBUtlatWsHJyQl79+5F8+bNS70uNBTo0kUcEjdsmKWiI1IQG2hLiYjIeOwJUqqnnhIPhRIEodhwuIwM4ORJ8Us7lc3d3R3Nmzcvd3EEQFwgYds24PJl88dFpDgKb0uJiMg0TIJIFjdv3kR+fr5BEqRbxaxTJ5mCUpiKLI4AcM8gIiIioocxCVKqJ58UD4UqaY+gXbuAkBAgKEimoBQmOjoaycnJyMzMLPM63Z5BS5ZwzyCiYhTelhIRkWmYBCnV3r3ioVCpqakAgNq1a+vP7drFXiBj6DZN3bdvX7nXjhjBPYOISqTwtpSIiEzDJIhkkZqaCkdHR/j7+wMA7t4FjhxhEmSM0NBQ1KxZs0Lzgh55ROxl455BREREREyCSCZpaWkICAiAo6MjAPEPsVotkyBjVHTTVIB7BhERERE9iEkQyeLhleF27QL8/IDwcBmDUqDo6Gjs27cPRUVF5V6r2zPot99UFoiMiIiIyHoxCSJZpKamFpsP1LEjoOL3c6NER0cjJycHJ0+eLPfaevWA9u2BFSv4a09ERET2jd+GlMrbWzwU6sGeoPx8YN8+DoUzRevWreHo6FiheUEAMHQosGWLCnfuuJo5MiKFUHhbSkREpmESpFSnTomHQqWlpemToEOHgPv3mQSZwtPTE02bNq3QvCAAeOYZcX7Q7t21y7+YyB4ovC0lIiLTMAkii8vOzkZ2drY+Cdq1S9zLpnlzeeNSqqioqAr3BPn4AL17C4iPr1P+xUREREQ2ikmQUp08KR4KpNsoVTcnaNcuIDoacHKSMyrlio6OxunTp3Hr1q0KXR8To8W5c9Vx+rSZAyNSAgW3pUREZDomQUrVvbt4KJBuo9Q6deqgqEjcwJND4Uyn2zR1//79Fbq+b18BHh4a/Pwzf/2JlNyWEhGR6fgtiCxO1xMUGBiIEyeArCwmQZXRoEED+Pj4VHhInJsb0KFDGn7+2QFarZmDIyIiIrJCTILI4lJTU1GzZk24urpizx5xGFzbtnJHpVzGbJqq07lzKi5dUuGff8wYGBEREZGVYhJEFvfgHkF794oLInh4yBuT0uk2TdVWsGsnMvIm6tYVsHy5mQMjIiIiskJMgsjiHtwjaO9ecVEEqpzo6GhkZWXhdAVXO3BwAJ57TotVq8R9moiIiIjsCZMgsjjdHkE3bgDnzjEJkkKbNm3g4OBQ4XlBgLhK3O3bwJ9/mjEwIiIiIivERYmV6vXX5Y7AZLqeIN0UFiZBlVe1alU0btwYCQkJGD16dIVeExkJtGwJLF8ODBxo5gCJrJWC21IiIjIdkyClmjxZ7ghMcv/+fWRmZqJ27dpISAD8/YHgYLmjsg1RUVHYs2ePUa8ZOhR4+23g9m2genUzBUZkzXRtqUYjbxxERGRRHA5HFqVbHrtOnTrYuxeIigJUKpmDshHR0dE4efIksrKyKvyawYOBwkJg9WozBkZERERkZZgEKdXrrytyGMfVq1cBAP7+dbB/P4fCSSkqKgqCIFR401RA7Inr0QNcJY7sl0LbUiIiqhyTkqALFy5IHQcZa8UK8VCY1NRUAEBWVhByc5kESSksLAzVq1c3anEEQBwSt2sXcOmSeeIismoKbUuJiKhyTEqCGjRogK5du2L58uW4f/++1DGRDUtLS0O1atWQmOgBJyegdWu5I7IdDg4OaNeunVGbpgLioggeHsBPP5kpMCIiIiIrY1ISdPjwYTRt2hSTJk2Cv78/nn/+eaOG4JD90i2Prdsk1d1d7ohsS3R0NBISEiq8aSoAeHoCAwaIfwwXBPPFRkRERGQtTEqCmjdvjrlz5+Lq1atYvHgx0tPT0bFjRzRu3BizZ8/GjRs3pI6TbMSDSVBUlNzR2J7o6Gjcvn0bycnJRr0uJgY4eRI4dsxMgRERERFZkUotjODk5IQnn3wSq1evxowZM3Du3DlMnjwZQUFBGD58ONLT06WKk2xEWloafHzCuUmqmbRt2xYqlcroeUE9ewI+PsDPP5spMCIiIiIrUqkk6ODBg3jppZcQEBCA2bNnY/LkyTh//jy2bNmCq1ev4oknnpAqTrIRaWlp0GrbAmASZA7VqlVDZGSk0fOCnJ2Bp54SkyAjRtIRERERKZJJm6XOnj0bcXFxOHPmDPr06YNly5ahT58+cHAQc6rQ0FAsWbIEISEhUsZKDzp5Uu4IjFZUVIRr164hKysStWoB/OdhHlFRUUb3BAHikLjvvgP27gU6dDBDYETWSIFtKRERVZ5JPUELFixATEwMLl++jPXr16Nfv376BEinZs2aWLRokSRBUgmqVxcPBbl9+za0Wi3S0uoiOpqbpJpLdHQ0jh8/jrt37xr1uo4dgTp1uFow2RkFtqVERFR5JiVBycnJeOeddxAQEFDqNS4uLhgxYoTJgVE58vLEQ0Fu3rwJwAHnznlzUQQzioqKglarxYEDB4x6nYMDMHgwsGoVoNGYKTgia6PAtpSIiCrPpCQoLi4Oq1evLnZ+9erVWLp0aaWDogqoX188FERMgiKQl+eItm3ljsZ2qdVqeHl5GT0vCBCHxGVmAlu3miEwImukwLaUiIgqz6QkaNq0afD19S12vmbNmvjss88qHRTZpszMTDg7d4BKJaBVK7mjsV26TVNNmRfUrBkQEcEhcURERGTbTEqCUlJSEBoaWux8cHAwUlJSKh0U2aZbt27B3b0zwsNV8PKSOxrbpts0VTBy91OVSuwNWreOI4SIiIjIdpmUBNWsWRNJSUnFzicmJsLHx6fSQZFtunnzJgShFYfCWUB0dDQyMzNx/vx5o187eDCQkwP8/rsZAiMiIiKyAiYlQYMHD8Yrr7yC7du3o6ioCEVFRdi2bRsmTpyI5557TuoYyUZkZGQhN7cB2rSROxLb165dOwAwaUhcgwZA27YcEkdERES2y6Qk6OOPP0a7du3QvXt3uLu7w93dHT179kS3bt04J4hKlZHhD63WiUmQBVSvXh0REREmLY4AiEPiNm4Ebt+WODAiIiIiK2DSZqkuLi745Zdf8PHHHyMxMRHu7u5o0qQJgoODpY6PSjNokNwRGEWr1SIrKxwODkVo1sxR7nDsgqmbpgLAM88AkyYBa9cCo0dLHBiRNVFYW0pERNIwKQnSCQsLQ1hYmFSxkDHmz5c7AqNkZmZCq22JevWy4OZWQ+5w7EJ0dDR+/PFH5ObmwtPT06jXBgQAXbuKQ+KYBJFN07Wl3ByLiMiumJQEFRUVYcmSJdi6dSsyMjKg1WoNnt+2bZskwZHtSEtLA9AGzZrxi4alREVFoaioCAcPHkTnzp2Nfn1MDDBmDHD1KhAYaIYAiYiIiGRi0pygiRMnYuLEiSgqKkLjxo3RrFkzg4MsYN488VCI5ORrANRo395Z7lDsRqNGjVClShWT5wU9+STg7Az88ovEgRFZE4W1pUREJA2TeoJWrlyJVatWoU+fPlLHQxU1bZr485VX5I2jgvbvLwLggG7dqsgdit1wdHRE27ZtTZ4X5O0N9O0L/Pwz8Npr0sZGZDV0bemLL8obBxERWZRJPUEuLi5o0KCB1LGQDUtKcgWQi8hIldyh2BVTN03ViYkBDhwAkpMlDoyIiIhIRiYlQa+//jrmzp1r8hcrsj8XLvjA3f0UHLkwnEVFRUXh+vXruHTpkkmv79sXqFpV7A0iIiIishUmDYfbvXs3tm/fjo0bN6JRo0Zwdjac57F27VpJgiPbkZERjBo14gFwzpglRUVFARA3TQ0NDTX69e7uwMCB4ipxH3wAqNiRR0RERDbApJ4gb29vDBw4EJ07d4avry+qVatmcBA96MYN4P59fwQEXJE7FLvj6+uLhg0bmrw4AiAOiTtzBjhyRMLAiIiIiGRkUk9QXFyc1HGQDdu/XwCgQmhoptyh2KXKbJoKAN27A35+4pC4li0lDIyIiIhIJib1BAFAYWEh/v77b3z33Xe4e/cuAODq1avIycmRLDgqw8aN4qEAu3ffB5CJ4GBtudeS9KKjo3H06FHcu3fPpNc7OQHPPismQVpWIdkaBbWlREQkHZOSoMuXL6NJkyZ44oknMH78eNy4cQMAMGPGDEyePFnSAKkUzZuLhwLs2VMI4CD8/HzlDsUuRUVFobCwEIcOHTK5jJgYIC0N2LVLwsCIrIGC2lIiIpKOyZultm7dGrdv34a7u7v+/MCBA7F161aTApk+fTpUKhVeffVVk15P1kkQgOPHXQAcgI+Pj9zh2KUmTZrAw8OjUvOCoqKAkBBxgQQiIiIipTMpCdq1axfef/99uLi4GJwPCQlBWlqa0eUdOHAA3333HZo2bWpKOPapWTPxsHJXrwK3b7sCOIzq1avLHY5dcnJyQps2bSo1L0ilAgYPBlavBgoKJAyOSG4KaUuJiEhaJiVBWq0WRUVFxc6npqaiatWqRpWVk5ODIUOG4Pvvv+eXZGNkZIiHlTt8WPzp53cFTk4mrcNBEoiOjsbevXsrtbdXTAxw+zbw118SBkYkN4W0pUREJC2TvpX27NkTc+bMwcKFCwEAKpUKOTk5+Oijj9CnTx+jyho/fjz69u2LRx99FJ988kmZ1+bn5yM/P1//ODs7GwCg0Wig0WiKXa87V9JzSqeruEIrf28HDjjA1TUPdeqIX75tsS6UoHXr1pg+fTouXLiAgIAAAMbXRXg40LixE5YvF9CrV/E/gpDxbLmNUgpdW8q6sA6sB+vBurAerIuKM+YzMikJmjVrFnr16oXIyEjcv38fMTExSE5Ohq+vL342Ymv5lStX4vDhwzhw4ECFrp82bRqmTp1a7Pxff/0FDw+PUl+3ZcuWCsekFL3+TQY3//mnzJGUbfPmtnBxuQQXF3FDXVusCyXQrdr47bffomPHjgBMq4sWLRpi1aowrFmzGe7uTISkwt8L+ejaUl0dsC6sA+vBerAurAfronx5eXkVvlYlmDg+prCwECtXrkRSUhJycnLQsmVLDBkyxGChhLJcuXIFrVu3xpYtW/Rzgbp06YLmzZtjzpw5Jb6mpJ6goKAgZGZmwsvLq9j1Go0GW7ZsQY8ePeDs7Gz8m7RiTnXrAgAKU1JkjqRsoaFOyM9fhEGDDuKxxx6zybpQioiICPTr1w/Tpk0z+ffi0iUgLMwZS5cWYvBg04fWkciW2yil0LWl986fZ11YAf5OWA/WhfVgXVRcdnY2fH19kZWVVWJu8CCTJ2k4OTlh6NChpr4chw4dQkZGBlo+sPtiUVERdu7cifnz5yM/Px+Ojo4Gr3F1dYWrq2uxspydncv8R1He80pmze/r+nVxWWVPzz0ICmoAwLbrwtpFRUVh3759+s/flLpo2BDo0AFYtcoJw4ebI0r7xN8L+VXm94Kkx3qwHqwL68G6KJ8xn49JSdCyZcvKfH54Bb4dde/eHceOHTM4N3LkSEREROCtt94qlgDRQ1q1kjuCch05Iv7Mzd2J2rU7yxsMITo6Gr/++qtBb6opYmKAiROBzEzAl1s/kdIpoC0lIiLpmZQETZw40eCxRqNBXl4eXFxc4OHhUaEkqGrVqmjcuLHBOU9PT/j4+BQ7TyX4/Xe5IyjX4cNA1apFuHv3AurUqYPc3Fy5Q7JrUVFRKCgowBFddmqip58GXnkF+PVX4IUXJAqOSC66tpQTjomI7IpJS2Tfvn3b4MjJycGZM2fQsWNHoxZGINt26BBQv764gl9gYKDM0VCzZs3g5uaGffv2VaocPz+gZ09unEpERETKZVISVJKGDRti+vTpxXqJjBEfH1/qogj0kN9+Ew8rdvgwEBBwFQBQu3ZtmaMhZ2dntG7dGgkJCZUuKyYG2LULsPJ1OYjKp4C2lIiIpCdZEgSIiyVcvXpVyiKpNOPGiYeVunVLXEnMy+s8atSoUeYS5mQ50dHR2L9/f6XLeeIJwN0dWLlSgqCI5GTlbSkREZmHSXOCNmzYYPBYEASkp6dj/vz56NChgySBkbLppp04Oh5FnTp15A2G9KKiovD555/j5s2blSqnalXg8cfFIXFvvilRcEREREQWYlISNGDAAIPHKpUKfn5+6NatG2bNmiVFXKRwhw4BVaoAOTlHOBTOikRHRwMAzpw5U+myBg8GBgwATpwAGjWqdHFEREREFmNSEqTVaqWOg2zM4cNA8+ZAWtoVg72gSF4BAQEIDg6WJAnq3Rvw9gZ+/hn45JPKx0ZERERkKZLOCSLSOXxY3H4jLS2Nw+GsTNu2bXH27NlKl+PqCjz1lDgkThAkCIyIiIjIQkzqCZo0aVKFr509e7YptyAFy84GkpOBpk0LMW/edSZBViYqKgrr169HQUFBpXeejokBfvgB2LcPiIqSKEAiIiIiMzMpCTpy5AiOHDkCjUaD8PBwAMDZs2fh6OhoMPRJpVJJEyUV9803ckdQKt2iCHXqZEAQBM4JsjLt2rWDRqNBYmIi2rdvX6myHnkECAwUe4OYBJEiWXFbSkRE5mNSEtS/f39UrVoVS5cuRfXq1QGIG6iOHDkSnTp1wuuvvy5pkFSCgQPljqBUhw+Lyye7ul4EAPYEWZnmzZvD2dkZ+/btq3QS5OgIPPccsHw5MHs24GRSi0IkI11bqtHIGwcREVmUSXOCZs2ahWnTpukTIACoXr06PvnkE64ORzh8GGjWDLh+PQ0AkyBr4+Lignr16kmyaSogDonLyAC2bZOkOCIiIiKzMykJys7Oxo0bN4qdv3HjBu7evVvpoKgCnnhCPKzQ4cNAy5ZAamoqqlSpAi8vL7lDooeEh4dLsmkqINZ1WJg4JI5Icay4LSUiIvMxKQkaOHAgRo4cibVr1yI1NRWpqalYs2YNRo8ejSeffFLqGKkk+/eLh5XJzQVOn/4vCapduzbnhlmh8PBwXLp0CdeuXat0WSqV2Bu0di1w754EwRFZkpW2pUREZF4mJUHffvstHnvsMcTExCA4OBjBwcGIiYlB79698Q0nmdq1xERAqxWXx05NTeVQOCulW9BEqiFxgwcDd+8Cf/4pSXFEREREZmVSEuTh4YFvvvkGN2/e1K8Ud+vWLXzzzTfw9PSUOkZSkCNHAGdnIDKSewRZM19fX9SpUwd79+6VpLywMKB1aw6JIyIiImWo1Gap6enpSE9PR8OGDeHp6QmBOybavaQkMQFycWFPkLVr27atZD1BgDgk7o8/gDt3JCuSiIiIyCxMSoJu3ryJ7t27IywsDH369EF6ejoAYPTo0Vwe284lJgJNmwJFRUW4evUq9wiyYlFRUThw4AA0Ei0N/OyzQEEBsG6dJMURERERmY1JSdBrr70GZ2dnpKSkwMPDQ3/+2WefxaZNmyQLjspQo4Z4WJGiIuDYMXF57IyMDBQWFrInyIq1a9cO9+7dQ1JSkiTlBQYCXbtySBwpjBW2pUREZH4mbW34119/YfPmzcW+4DZs2BCXL1+WJDAqx4kTckdQzIULQF6emASlpXGPIGvXokULODs7IyEhAa1atZKkzJgYYNw4ID0dCAiQpEgi89K1pdwslYjIrpjUE5Sbm2vQA6Rz69YtuLq6VjooUqbERPFn06bifCCASZA1c3NzQ4sWLSRbHAEAnnwScHICVq2SrEgiIiIiyZmUBHXq1AnLli3TP1apVNBqtZg5cya6du0qWXBUhqQk8bAiSUmAvz9Qs6aYBLm4uMDX11fusKgM0dHRki6OUL068NhjHBJHCmKFbSkREZmfScPhZs6cie7du+PgwYMoKCjAm2++iRMnTuDWrVvYs2eP1DFSSXr1En/+uyiFNdAtigBwo1SliIqKwty5c5GRkYGaNWtKUmZMjLhIwrlzQIMGkhRJZD66tjQlRd44iIjIokzqCWrcuDHOnj2Ljh074oknnkBubi6efPJJHDlyBPXr15c6RlKIxERxPhDAPYKUIjo6GgCwb98+ycrs1w+oUgX4+WfJiiQiIiKSlNE9QRqNBr1798a3336L9957zxwxkQJlZQGXL/+XBOl6gsi61a1bFwEBAdi7dy/69+8vSZkeHsDAgcBPPwHvvw+wM5CIiIisjdE9Qc7OzpItqUu2Q/dP4sHhcOwJsn4qlQpRUVGSzgsCxCFxZ84AR49KWiwRERGRJEwaDjd06FAsWrRI6lhIwRITARcXICICEASBSZCCREdHY//+/SgsLJSszO7dAT8/LpBARERE1smkhREKCwuxePFi/P3332jVqhU8PT0Nnp89e7YkwZFyJCUBkZGAszNw69Zt3L9/n0mQQkRFRSE3NxcnTpxAM914xkpydgaeeUacFzRjBuBg0p9biIiIiMzDqCTowoULCAkJwfHjx9GyZUsAwNmzZw2u4WpgFvLWW3JHYODhleEAcE6QQrRq1QpOTk7Yu3evZEkQIA6J+/prYNcuoHNnyYolkpaVtaVERGQZRiVBDRs2RHp6OrZv3w4AePbZZzFv3jzUqlXLLMFRGV59Ve4I9IqKgGPHxGWRAW6UqjQeHh5o1qwZ9u7dixdeeEGycqOjgZAQcUgckyCyWrq2VKORNQwiIrIsowapCIJg8Hjjxo3Izc2VNCBSnvPngXv3DHuCHBwc4O/vL29gVGFSb5oKiKvCDR4MrF4NFBRIWjQRERFRpVRqpP7DSRFZ0MSJ4mEFEhPFnw/uERQQEAAnJ5OmnJEMoqKicPbsWdy8eVPScmNigNu3gc2bJS2WSDpW1JYSEZHlGJUEqVSqYnN+OAdIJqtWiYcVSEoCAgLE1cAA7hGkRI888ggA4I8//pC03MaNgSZNuEocWTErakuJiMhyjPpTvSAIiI2NhaurKwDg/v37eOGFF4qtDrd27VrpIiSr9+CiCAD3CFKioKAgdOnSBUuXLsXw4cMlLTsmBvj4YyAnB6hSRdKiiYiIiExiVE/QiBEjULNmTVSrVg3VqlXD0KFDERgYqH+sO8i+JCb+NxQOEIfDMQlSnpEjR2Lbtm24dOmSpOU+9xyQlwds2CBpsUREREQmM6onKC4uzlxxkELduQOkpBgmQewJUqZBgwZh/PjxWLZsGT788EPJyg0JATp0AH76SewVIiIiIpIbtzCkSklKEn/qhsPdvXsXWVlZnBOkQJ6ennj66aexZMkSaLVaScuOiREXR7h+XdJiiYiIiEzCJIgqJTERcHEBwsPFx2lpaQC4R5BSxcbG4uLFi9i9e7ek5T77LODgAPzyi6TFEhEREZmESZBSnT0rHjJLSgIiIwFnZ/ExkyBl69SpE+rVq4clS5ZIWq6PD9CnD/Djj5IWS1R5VtKWEhGRZTEJUqqqVcVDZg8vipCamgoACAwMlCkiqgyVSoXY2FisWrUKOTk5kpY9bBhw8CBw+rSkxRJVjpW0pUREZFlMgpTq7l3xkFFREXD8ePEkyNfXF25ubvIFRpUyfPhw5ObmYs2aNZKW268f4O3N3iCyMlbQlhIRkeUxCVKqsDDxkNG5c8C9e9wjyNYEBwejW7dukg+Jc3UFnnkGWL4ckHjdBSLTWUFbSkRElsckiEyWmCj+5B5Btic2Nhbx8fG4ePGipOUOGyYuqb5rl6TFEhERERmFSRCZLCkJCAwEfH3/O8eeINvw5JNPomrVqli2bJmk5XboAISGckgcERERyYtJEJksMdFwKBwgJkHcI0j5PD098cwzz0i+Z5BKBQwdCqxeLQ6lJCIiIpIDkyAy2cMrw+Xn5+PGjRvsCbIRsbGxuHTpEnbu3ClpucOGAdnZwG+/SVosERERUYUxCSKT3L4NXLli2BN09epVANwjyFZ06NAB9evXl3yBhIYNgXbtOCSOiIiI5MMkSKmeeUY8ZJKUJP4saY8gJkG2Qbdn0K+//mqWPYM2bQJu3JC0WCLjydyWEhGRPJgEKdXcueIhk8REwMUFCA//75wuCeKcINsxfPhw5OXl4ddff5W03GefFX+uXClpsUTGk7ktJSIieTAJIpMkJQGNGgFOTv+dS01NhZeXF6py93WbUbduXXTv3h1xcXGSluvrC/TpwyFxREREJA8mQUo1Z454yOThRREA7hFkq2JjY7Fz506cP39e0nKHDQMOHADOnJG0WCLjyNyWEhGRPJgEKdWMGeIhg6Ii4Pjx4kkQ9wiyTQMHDjTLnkH9+gHVqrE3iGQmY1tKRETyYRJERktOBu7f5x5B9sLDwwPPPvssli5dKumeQW5u4nz05csBCYslIiIiKheTIDJaYqL4s6QkiD1Btik2NhaXL19GfHy8pOUOHQpcvgzs3i1psURERERlYhJERktKAgIDxcntOoWFhbh27RqTIBvVvn17NGzYUPI9gzp2BIKDOSSOiIiILItJEBmtpEURrl+/jqKiIiZBNurBPYOys7MlK9fBQewNWr1aHGJJREREZAlMgshoJSVB3CPI9g0bNgz379+XfM+gYcOArCxgwwZJiyUiIiIqFZMgpdq8WTws7NYtIDW15PlAANgTZMOCgoLw6KOPSj4kLjwciIoCJC6WqGJkakuJiEheTIKUqmnT4pmIBSQliT9L2iPIzc0NNWrUsHhMZDkjR47Erl27cO7cOUnLjY0Vv4devSppsUTlk6ktJSIieTEJIqMkJQGurkBYmOF53cpwKpVKnsDIIgYMGAAvLy8sXbpU0nKffRZwcRGXyyYiIiIyNyZBStWokXhYWGKieFsnJ8Pz3CPIPri7u+O5556TfM8gb29g4EAgLg4QBMmKJSqfTG0pERHJi0mQUt26JR4WVtKiCAD3CLInsbGxuHLlCrZv3y5puSNHAqdPA/v3S1osUdlkakuJiEhesiZBCxYsQNOmTeHl5QUvLy9ER0dj48aNcoZEZSgsBE6cKHn4fFpaGpMgOxEVFYXw8HDJF0jo1g2oU0fsDSIiIiIyJ1mToDp16mD69Ok4dOgQDh48iG7duuGJJ57AiRMn5AyLSpGcLO7l8nBPkCAI7AmyI7o9g9asWYOsrCzJynV0BIYPB1auBO7dk6xYIiIiomJkTYL69++PPn36oGHDhggLC8Onn36KKlWqICEhQc6wqBSJieLPh3uCMjMzUVBQwDlBdmTYsGHIz8/H6tWrJS03NlbcM+j//k/SYomIiIgMOJV/iWUUFRVh9erVyM3NRXR0dInX5OfnIz8/X/9Yt3O9RqOBRqMpdr3uXEnPKZ2u4got+N6OHHFA7doO8PIqxIO3vXjxIgDA39+/1M/alutCaaSoi5o1a+LRRx9FXFwcRowYIVVoCAkB2rd3xOLFwKBBRZKVa634eyE/XVvKurAOrAfrwbqwHqyLijPmM5I9CTp27Biio6Nx//59VKlSBevWrUNkZGSJ106bNg1Tp04tdv6vv/6Ch4dHqffYsmWLZPFai7Z16wIA9v/5p8XuuXVrO/j7A3/+uc/g/IEDBwAAp0+fRkZGRpll2GJdKFVl66JJkyaYNWsWfvjhBwQGBkoUFdCiRV18801zLFu2Db6+9yUr15rx90I++rb03zpgXVgH1oP1YF1YD9ZF+fLy8ip8rUoQ5F2QtqCgACkpKcjKysKvv/6KH374ATt27CgxESqpJygoKAiZmZnw8vIqdr1Go8GWLVvQo0cPODs7m/V92IPQUCcMGaLFJ58YLo28cOFCvPrqq7h79y4cHR1LfC3rwnpIVRf37t1D3bp18eKLL+J///ufZPFlZwNBQU54910t3npLumW4rRF/L6wH68I6sB6sB+vCerAuKi47Oxu+vr7IysoqMTd4kOw9QS4uLmjQoAEAoFWrVjhw4ADmzp2L7777rti1rq6ucHV1LXbe2dm5zH8U5T1P5bt5E0hLA1q0cISzs2Gik56ejoCAALi5uZVbDuvCelS2LpydnTF48GAsX74cn3zySakJsLF8fIBBg4Blyxzx3nuOsIf9d/l7YT1YF9aB9WA9WBfWg3VRPmM+H6vbJ0ir1Rr09lAp1q0TDwtJShJ/co8gelBsbCxSU1Oxbds2ScsdOVJcjXDvXkmLJSrOwm0pERFZB1l7gt555x089thjqFu3Lu7evYsVK1YgPj4emzdvljMsZXjpJfHnwIEWuV1SEuDqCjRsWPw57hFkv9q2bYuIiAgsWbIEPXr0kKzcLl2AunXFPYPat5esWKLidG1pv37yxkFERBYla09QRkYGhg8fjvDwcHTv3h0HDhzA5s2bJf0yRdJITAQaNwacSkib2RNkv3R7Bq1du1bSPYMcHIARI4BffgGMmONIREREVCGyJkGLFi3CpUuXkJ+fj4yMDPz9999MgKxUYmLJQ+EEQcCVK1e4R5AdGzZsGAoKCrBq1SpJyx0xArh7lyOViIiISHpWNyeIrE9hIXDiRPFNUgFxFY7c3Fz2BNmxwMBA9OrVC3FxcZKWW78+8Mgj4pA4IiIiIikxCaJynT0L5OeX3BOUlpYGAEyC7FxsbCz27t2LM2fOSFruyJHA1q3Av/vxEhEREUmCSRCVKzFR/FlST1BqaioAcDicnXv88cfh7e2NpUuXSlru008DXl7A4sWSFktERER2jkmQUi1cKB4WkJQE1KkD1KhR/DldEhQYGGiRWMg6ubm5YfDgwVi2bBmKiookK9fTE4iJEYfEFRZKVizRfyzYlhIRkfVgEqRU/fuLhwWUtigCIA6Hq1WrFlxcXCwSC1mv2NhYpKWlYevWrZKWO2aMuFHvpk2SFksksmBbSkRE1oNJEJUrKankoXAAl8em/7Rp0waRkZGSL5DQqhXQogXwww+SFktERER2jEmQUvXrZ5HN/W7eFP8KX1pPUGpqKucDEYD/9gxat24d7ty5I2nZY8YAv/8OpKdLWiyRxdpSIiKyLkyClOrQIfEwM92iCGUlQewJIp2hQ4dCo9Hgl19+kbTcmBjAxQVYskTSYoks1pYSEZF1YRJEZUpKAtzcgAYNSn4+LS2NSRDpBQQEoHfv3lgicbbi7S2uFLdoEaDVSlo0ERER2SEmQVSmxESgcWPAyan4c/fu3cPNmzeZBJGB2NhYJCQk4PTp05KWO2YMcP48EB8vabFERERkh5gEUZnKWxkO4B5BZOjxxx9H9erVJe8N6tgRCA/nAglERERUeUyCqFSFhcCJE2WvDAeAPUFkwNXVFTExMfjxxx8l3TNIpRJ7g9asERfsICIiIjIVkyClqllTPMzozBmgoIA9QWS82NhYXL16FVu2bJG03OHDAUEAli+XtFiyZxZoS4mIyPowCVKqxMT/lm4z4y2AsnuCqlevDk9PT7PGQcrTqlUrNGrUSPIhcTVrAk88AXz/vZgMEVWaBdpSIiKyPkyCqFRJSUBQEFC9esnPc48gKo1KpcLIkSOxfv163L59W9Kyx44Vh2nu2ydpsURERGRHmAQp1dGj4mFGZS2KAHCPICrbkCFDUFhYiJUrV0pa7qOPAsHBXCCBJGKBtpSIiKwPkyCleuwx8TCjpKTSh8IB3COIyubv74/HHntM8iFxDg7A6NHAypVAVpakRZM9skBbSkRE1odJEJUoMxO4epU9QVQ5sbGx2L9/P06ePClpuaNGAffvc4EEIiIiMg2TICqRbp5waUmQRqPBtWvXOCeIytSvXz/UqFEDS5culbTc2rXFBRIWLOACCURERGQ8JkFUoqQkwN0daNCg5OfT09MhCAJ7gqhMrq6uGDJkCJYtW4bCwkJJy37xRXGBhN27JS2WiIiI7ACTICpRYiLQuDHg6Fjy87o9gpgEUXliY2Nx7do1/PXXX5KW260b0LCh2BtEREREZAwmQVSixMSyF0VITU0FwCSIyteiRQs0adLELAskPP888OuvQEaGpEUTERGRjWMSpFTvvCMeZqDRACdPlr8ogoeHB6pVq2aWGMh2qFQqxMbG4v/+7/9w69YtScuOjRWTobg4SYsle2LGtpSIiKwXkyCleuUV8TCDM2eAgoKKrQynUqnMEgPZliFDhqCoqEjyPYN8fIBnnwW++w7QaiUtmuyFGdtSIiKyXkyCqJikJPFnkyalX8M9gsgYtWrVQt++fRFnhi6bF18ELl4ENm+WvGgiIiKyUUyClGrCBPEwg8REoG5doHr10q/hHkFkrNjYWBw8eBDHjx+XtNx27YDmzblAApnIjG0pERFZLyZBSrVmjXiYQWJi2UPhADEJ4h5BZIy+ffvCx8dH8j2DVCqxN+iPP4CUFEmLJntgxraUiIisF5MgKiYpqeyV4bRaLYfDkdFcXFwwZMgQ/Pjjj5LvGRQTA3h6AgsXSlosERER2SgmQWTgxg0gPb3snqAbN26gsLCQSRAZLTY2FtevX8dmiSfwVKkCDBsG/PCDuLohERERUVmYBJGBxETxJ/cIInNo0aIFmjVrZrYFEq5fB9avl7xoIiIisjFMgshAUhLg7g40aFD6NbokiHOCyBSxsbHYsGEDbt68KWm5jRsDHTsCX38tabFERERkg5gEkYHERHFpbEfH0q9JTU2Fs7Mz/Pz8LBcY2YyYmBgIgoCff/5Z8rJffhnYseO/Zd6JiIiISsIkSKnOnxcPiSUmlj0UDhD3CKpduzYcHPjPh4xXs2ZN9O3bF0uWLJG87IEDgdq1ga++krxoslVmakuJiMi68VusUnl4iIeENBrg5Mnyl8c+e/YsQkJCJL032ZfY2FgcOnQIx44dk7RcZ2dxbtDy5YDEo+3IVpmhLSUiIuvHJEipbt8WDwmdPi0mQuUlQfv27UPbtm0lvTfZl759+8LPz88svUHjxgGCACxaJHnRZIvM0JYSEZH1YxKkVJGR4iEh3TyKJk1KvyY1NRWpqamIioqS9N5kX5ydnTFkyBAsX74cGonXtPbzAwYPFhdIkHg7IrJFZmhLiYjI+jEJIr3ERCA4GPD2Lv2affv2AQDatWtnmaDIZsXGxiIjIwObNm2SvOyXXwZSUoANGyQvmoiIiGwAkyDSq8iiCPv27UNQUBACAwMtExTZrGbNmqFNmzaYMmUKCiXusmnZUlwue948SYslIiIiG8EkiPQSE8ufD5SQkMChcCSZr7/+GkePHsXnn38uedm65bJ1GwATERER6TAJIgDA9eviUVYSpNFocPDgQSZBJJk2bdrgjTfewJQpU3Dq1ClJy+Zy2URERFQaJkEE4L+/lpeVBB0/fhz37t1jEkSS+uijjxAaGopRo0ahqKhIsnKdnYGXXgJ++onLZRMREZEhJkFKFRMjHhJJTAQ8PYH69Uu/JiEhAU5OTmjRooVk9yVyd3fH4sWLsW/fPsydO1fSsseOFZfL/uEHSYslWyJxW0pERMrAJEipZs0SD4noFkVwKONfREJCApo3bw53d3fJ7ksEAO3bt8fEiRPx3nvvITk5WbJy/fzE77dcLptKJXFbSkREysAkiABwUQSS3yeffILAwECMGTMGWq1WsnJfeQW4cgVYs0ayIomIiEjhmAQp1RdfiIcE7t8HTp8uOwm6desWzp49y/2ByGw8PT2xaNEi7Ny5EwsWLJCs3ObNgW7dxD/2C4JkxZKtkLAtJSIi5WASpFQSDuE4eVIcKlRWErR//34AYE8QmVWXLl3w4osv4q233sKlS5ckK/f114EDB4DduyUrkmwFh8MREdklJkGExERApQKaNCn9moSEBPj4+KB+WSsnEElgxowZ8PHxwdixYyFI1HXTuzegVvO7LhEREYmYBBESE8VV4apUKf2affv2oV27dlCpVJYLjOxS1apVsXDhQvz9999YtGiRJGU6OACTJgEbNgASrrtARERECsUkiJCYKM6bKI1Wq8W+ffs4FI4splevXhg1ahRef/11pKamSlLm0KHianFffilJcURERKRgTILsnCCUvzJccnIybt++zSSILGrWrFnw9PTE888/L8mwODc3YMIEIC4OyMyUIEAiIiJSLCZBdi41Fbh9u+wkKCEhASqVCm3btrVcYGT3vL298d133+HPP//E8uXLJSnzxRfF+W8SLj5HRERECsQkSKm2bhWPSkpMFH+WlQTt27cPERERqFatWqXvR2SM/v37Y8iQIZg4cSKuXbtW6fJ8fYERI4D588Wl4YmkakuJiEhZmAQpVWSkeFRSYiLg7Q0EBZV+DTdJJTnNnTsXzs7OeOmllyQZFvfaa8CNG8BPP0kQHCmfRG0pEREpC5MgO3f0qNgLVNqib3l5eUhKSmISRLLx8fHB119/jXXr1mH16tWVLi8sDOjfH5g9m5unEhER2SsmQUqlVotHJZW3KMKhQ4dQVFSEdu3aVfpeRKZ66qmn8NRTT2HChAm4ceNGpcubPFncJPjPPyUIjpRNoraUiIiUhUmQUt25Ix6VkJsLnDtX9vLYCQkJ8PT0RKNGjSp1L6LKmj9/PoqKivDKK69UuqyOHYHoaGDaNAkCI2WToC0lIiLlYRJkx44dE4cDlbcyXJs2beDk5GS5wIhKUKtWLcybNw8rV67E+vXrK1WWSgW88w6wZw+wa5c08REREZFyMAmyY4mJgKNj2XOC9+3bx6FwZDViYmLQv39/vPjii7h161alyurbF2jcmL1BRERE9ohJkB1LTAQiIsRNJEuSmpqKtLQ0LopAVkOlUmHBggW4d+8eJk2aVKmyHByAt98GNm4UFwghIiIi+8EkyI6VtyhCQkICALAniKxK7dq1MXv2bCxduhQbN26sVFnPPguEhgLTp0sUHBERESmCrEnQtGnT0KZNG1StWhU1a9bEgAEDcObMGTlDUo7oaPEwkVYLJCWVnwQFBwcjICDA5PsQmcPIkSPRs2dPjBs3DllZWSaX4+QEvPEGsHo1kJwsYYCkHJVsS4mISJlkTYJ27NiB8ePHIyEhAVu2bIFGo0HPnj2Rm5srZ1jKsHateJjowgUgJ6fsleE4H4islUqlwsKFC3Hnzh28+eablSpr5EjAzw+YOVOi4EhZKtmWEhGRMsmaBG3atAmxsbFo1KgRmjVrhiVLliAlJQWHDh2SMyy7kJgo/iytJ0ij0eDgwYOcD0RWKzg4GDNnzsTChQuxdetWk8txcwMmTQKWLgXS0iQMkIiIiKyWVa17rBvWUqNGjRKfz8/PR35+vv5xdnY2APELu0ajKXa97lxJzymdas0aAIAwaJBJrz982AG1ajmgRo1ClPTxHD58GPfv30fr1q0l+fxsuS6UxpbqYtSoUfjll18wZswYHD58GFWqVDGpnNGjgWnTnPDFF1rMnKmVOMrS2VJdKJWuLdU8/rj4k3UhK/5OWA/WhfVgXVScMZ+RShAEwYyxVJhWq8Xjjz+OO3fuYPfu3SVeM2XKFEydOrXY+RUrVsDDw8PcIVqVXiNHAgA2x8WZ9PrPPmuLggJHTJmyt8Tn//zzTyxevBgrVqyAi4uLyXESmVt6ejomTpyIHj16YOzYsSaX89NPEfjtt/pYuPAveHnxfzT2orJtKRERWY+8vDzExMQgKysLXl5eZV5rNUnQiy++iI0bN2L37t2oU6dOideU1BMUFBSEzMzMEt+oRqPBli1b0KNHDzg7O5stdjk41a0LAChMSTHp9Q0bOmHQIC2mTy/5r94jR47EmTNn8M8//5gc44NsuS6UxhbrYt68eZg8eTK2bduGjh07mlTGjRtAgwZOeO01LaZMsUxvkC3WhdLo2tJ758+zLqwAfyesB+vCerAuKi47Oxu+vr4VSoKsYjjchAkT8Pvvv2Pnzp2lJkAA4OrqCldX12LnnZ2dy/xHUd7zSmbK+7pzB7h8GWjZ0hHOzo4lXrN//3707t1b8s/NlutCaWypLl599VWsXbsWzz//PI4ePWpSz3BgIPDSS8D8+Y6YPNkR1aubIdBS2FJdKJXu82ddWAfWg/VgXVgP1kX5jPl8ZF0YQRAETJgwAevWrcO2bdsQGhoqZzh2IylJ/Fnaogg3b95EcnIyV4YjxXB0dMSiRYuQkpKCjz76yORy3ngD0GiAOXOki42IiIisj6xJ0Pjx47F8+XKsWLECVatWxbVr13Dt2jXcu3dPzrBs3uHD4opYERElP79//34A4MpwpCgRERGYOnUqZs+ejX379plURq1awIsvAnPnij2mREREZJtkTYIWLFiArKwsdOnSBQEBAfrjl19+kTMsm3fkCNC0qbhRZEkSEhLg6+uLevXqWTYwokp6/fXX0bJlS4wcOdJg/qAx3ngDyM9nbxAREZEtk3VOkJWsyaBMixaZ/NIjR4D27Ut/PiEhAe3atYNKpTL5HkRycHJywuLFi9GqVSt8/PHH+OSTT4wuw99f7A2aMwd49VXA21vqKMmqVKItJSIi5ZK1J4gqoU8f8TDSvXvAyZNAixYlP6/VarF//34OhSPFatKkCd5//31Mnz4dhw8fNqmMN98Ue4PmzpU4OLI+JralRESkbEyC7Mzx40BREdCyZcnPnz17Fnfu3GESRIr2zjvvoHHjxhg5ciQKCgqMfr2/P/DCC8CXX3JuEBERkS1iEqRUvXuLh5EOHwYcHYEmTUp+PiEhASqVCm3atKlkgETycXZ2xuLFi3HixAnMmDHDpDJ0vUHz5kkcHFkXE9tSIiJSNiZBSpWYKB5GOnIEiIwUV4cryb59+6BWq1GtWrVKBkgkr5YtW+Ltt9/Gxx9/jGPHjhn9+oAA4Pnn2Rtk80xsS4mISNmYBNmZI0dKnw8EiD1BHApHtuKDDz7A/7d332FRXG0bwO+FZReQLkiTYi8oir3EaGJBo0YTfTV2YxJLrPGNhdhjr1+MGk000TcxdqMpVmJsURdERMWOGjUK2KVI3/P9MbKCFFmErffvus41u3POzD67hx14mJlzKleujEGDBiEzM1Pr7SdMkM4GLV5cCsERERGR3jAJMiOZmdJEqQUlQcnJyTh79iyTIDIZSqUSa9euRWRkJJYsWaL19p6ewMiR0tmge/dKIUAiIiLSCyZBZuTSJSA1teBBEU6dOgW1Wo3GjRvrNjCiUtS4cWOMHTsWU6dOxaVLl7Tefvx46T66OXNKITgiIiLSCyZBZuT0aWlZt27+9SqVCmXKlEFAQIDOYiLShS+//BK+vr4YNGgQsrKytNq2bFlpAtWVK4Fbt0opQCIiItIpJkHGytNTKlqIjAQqVQIcHPKvV6lUaNSoESwtLUsgQCLDYWNjg++//x4qlQrLli3TevvRowFHR+DLL0shONKvYhxLiYjI+DEJMlaRkVLRwunTBV8KJ4SASqXipXBkslq0aIERI0bgiy++wLVr17Ta1t4e+OILYO1a4PLlUgqQ9KMYx1IiIjJ+TILMhFpd+Mhw//77L2JjYzkoApm0OXPmwN3dHZ988gmEEFptO3Qo4O0NTJ1aSsERERGRzjAJMlYREVIpohs3gISEgpMglUoFADwTRCbNzs4OK1euxMGDB/Hbb79pta21NTBtGrBly4v768gEaHksJSIi08AkyFh17iyVIsr+o62wJMjf3x8eHh4lEByR4QoODkabNm0wYcIErecOGjAAqFoVmDSplIIj3dPyWEpERKaBSZCZiIwEvLwAd/f868PCwngWiMyCTCbDggULcPnyZXz//fdabSuXA7NmAXv2AH/9VUoBEhERUaljEmQmCrsfKD09HadOneL9QGQ2goKC0LdvX0yfPh1JSUlabdu9O9C4MfD559K9dkRERGR8mASZASGkM0EFjQx39uxZpKamMgkiszJr1iw8evQIS5Ys0Wo7mQxYvFj6x8LPP5dScERERFSqmASZgdhY4N69gs8EhYWFwcrKCnULmkWVyAT5+flh5MiRWLBgAeLj47XatnlzoFs36d6glJRSCpCIiIhKDZMgM1CUQRGCgoJgbW2tu6CIDMAXX3wBKysrzJgxQ+tt582T/sGwdGkpBEZERESlikmQsZoyRSpFEBkJODsDfn7516tUKl4KR2bJxcUFkyZNwnfffYfLWs6CWrkyMHw4MGcOcP9+KQVIpU+LYykREZkOJkHG6tNPpVIEERFAgwbSvQwve/DgAWJiYjgyHJmtESNGwNvbG1988YXW206ZAlhYAMU4kUSGQotjKRERmQ4mQWYgOwnKT3h4OADwTBCZLWtra8yaNQu//PILjh8/rtW2ZctK9wWtWgVoeSKJiIiI9IhJkLEaNkwqr3D3rlQKSoJUKhXc3NxQoUKFEg6QyHj06dMHderUwbhx4yCE0GrbkSOB8uWBceNKKTgqXUU8lhIRkWlhEmSsdu6UyitEREjLwpKgJk2aQJbftXJEZsLCwgILFy7E8ePHsbMI36ucrK2B+fOB338H9u0rnfioFBXxWEpERKaFSZCJi4gAypUDfHzy1qnVaoSHh/N+ICIAbdu2Rbt27TBx4kRkZGRotW2PHkDLlsDo0UB6eikFSERERCWGSZCJK2xQhMuXL+Pp06e8H4joufnz5+Pq1av4/vvvtdpOJgO+/hq4ehVYvryUgiMiIqISwyTIhAlR+KAIKpUKMpkMDRs21G1gRAaqbt266Nu3L6ZNm4bExESttg0MlG4tmT4diIsrnfiIiIioZDAJMmG3b0vzlxSUBIWFhaFmzZpwcHDQbWBEBmzmzJl4+vQpFi9erPW2X34JWFkBISGlEBgRERGVGCZBJix7UIT69fOv5ySpRHn5+flh1KhRWLRoEeK0PKXj4gLMng2sWweEhZVOfERERPT6mAQZq3/+kUohTp4EvLyk8rKkpCScO3eOSRBRPkJCQqBQKDCjGLOgfvIJUKeONHS2Wl0KwVHJKsKxlIiITA+TIGOlVEqlEBERQEG3+0RERECtVnNkOKJ8ODs7Y9KkSVi9ejUuXbqk1baWlsCyZdI/IbQcX4H0oQjHUiIiMj1MgozVw4dSKcCrBkUICwuDnZ0datasWUoBEhm34cOHo3z58ggpxg0+LVoA/fsDEyYA9+6VQnBUcl5xLCUiItPEJMhY1aollQJcvw48eVL4yHCNGjWCpaVl6cRHZOSsra0xe/Zs7Ny5E8eOHdN6+0WLpOXnn5dwYFSyXnEsJSIi08QkyEQVNiiCEIKDIhAVQa9evRAUFIRx48ZBCKHVtm5uwIIFwE8/AQcPllKAREREVCxMgkxURATg5yf9Ifay27dvIy4ujvcDEb2ChYUFFi5ciBMnTmDHjh1abz9oENC8OTB0KJCWVgoBEhERUbEwCTJRJ08WfikcACZBREXQunVrBAcHY+LEicjIyNBqWwsL4NtvpctT588vpQCJiIhIa0yCTJBaDZw6VfDIcCqVChUqVIC7u7tuAyMyUvPnz0dMTAxWr16t9bYBAdJ9QXPmAFevlkJwREREpDUmQSbo0iUgKanwM0E8C0RUdHXq1EH//v0xY8YMJCYmar39lCmApycwbJg0ciMRERHpF5MgY9W3r1TyERYGyGT5nwlKT09HZGQkB0Ug0tLMmTPx9OlTLMoe9k0LtrbAypXAgQPADz+UQnBUfIUcS4mIyHTJ9R0AFdPChQVWqVRAzZqAg0PeujNnziAtLY1JEJGWfHx8MHr0aCxatAhDhw6Fp6enVtu3bw8MHAiMHSs99vYunThJS9nHUi3v9yIiIuPGM0EmKCwMKCjHUalUUCgUqFu3rk5jIjIFISEhsLa2xvTp04u1/ZIlQJky0mhxvCyOiIhIf5gEGat586TykqQk4Ny5gpOgsLAwBAUFQalUlnKARKbHyckJkydPxpo1a3Dx4kWtt3d2BlatAv74A9iwoRQCJO0VcCwlIiLTxiTIWC1dKpWXRERIo8MVNO4BJ0klej2ffvopfH19ERISUqzt330X6NULGDUKiIsr4eBIewUcS4mIyLQxCTIxYWGAnZ10T9DL7t+/j2vXrnFkOKLXoFQqMWfOHPz66684evRosfbx9deApSUwerRlCUdHRERERcEkyMSoVNKocJb5/G0VHh4OADwTRPSaevbsifr162PcuHEQxbi5x9UVWLEC2LHDAn//7VUKERIREVFhmASZECGkJKiwQRHKlSsHf39/ncZFZGosLCywYMEChIWFYfv27cXaR/fuQPfuaqxaVQd37pRwgERERFQoJkEm5PZt6R6DwpKgJk2aQCaT6TYwIhP09ttvo0OHDggJCUFGMYZXlsmA5cuzoFBk4ZNPLKFWl0KQRERElC8mQSZEpZKW+d3yo1arER4ezvuBiErQ/Pnzce3aNXz33XfF2t7FBRg16jT+/NMCK1aUcHBERERUICZBxurQIankEBYG+PsD7u55m1+6dAkJCQm8H4ioBNWuXRsDBgzAjBkzkJCQUKx91K17H8OHZ2H8eODChRIOkF4tn2MpERGZPiZBxqpaNankoFIVPjS2TCZDw4YNdRAckfn48ssvkZiYiIULFxZ7H7Nnq+HvD/TtC6Snl1xsVAT5HEuJiMj0MQkyEenpQGRk4fcDBQQEwN7eXreBEZk4Hx8fjBkzBosXL8bdu3eLtQ9bW2D9emmi4+nTSzY+IiIiyotJkLGqUkUqz509C6SmFpwEhYWF8VI4olIyceJE2NraYvprZDD16wMzZgDz5gF//VVysdErvHQsJSIi88AkyFglJUnluRMnACsroG7dvE0TExMRHR3NJIiolDg6OmLKlCn4/vvvceE1buyZMAF4+22gTx8gPr4EA6SCvXQsJSIi88AkyEQcOyZNkmptnbcuIiICarWaI8MRlaKhQ4fCz88PEydOLPY+LC2ly+LUaqBfP3DYbCIiolLCJMgECAEcPQq88Ub+9WFhYbC3t0eNGjV0GxiRGVEqlZgzZw5+//13HDlypNj78fCQEqE//wTmzy/BAImIiEiDSZAJuHkTuHu34CRIpVKhUaNGsLS01G1gRGamR48eaNCgAcaNGwchRLH307YtEBICTJkineUlIiKiksUkyAT8/be0bNYsb50QAiqVivcDEemAhYUFFixYgPDwcGzbtu219jVjhjTQyQcfAA8fllCAREREBIBJkPFq0UIqkJKgGjWAsmXzNrt58ybi4+N5PxCRjrz11lt45513EBISgvTXmPRHLgc2bgRSUqSBErKySjBIeiHHsZSIiMwHkyBjtWWLVCAlQYXdDwSASRCRDs2fPx83btzAt99++1r78fGREqHQUGDatBIKjnLLcSwlIiLzwSTIyD16BJw/X/j9QBUrVkS5cuV0GxiRGatVqxYGDhyIL7/8EgkJCa+1r7ZtgdmzpbJzZ8nER0REZO70mgQdOXIEnTt3hpeXF2QyGXbyN3zRbd4MbN6M48elp4UlQTwLRKR7M2bMQHJyMhYsWPDa+5owAXjvPaB/f+Dy5RIIjl54fiwlIiLzotckKDk5GXXq1MGKFSv0GYZxGjMGGDMGx44Bnp5AhQp5m6SlpeH06dMcFIFID8qXL4/PPvsMS5YswZ07d15rXzIZsG4d4O0tJUOJiSUTI0FzLCUiIvOi1ySoQ4cOmDVrFt577z19hmHUsu8Hksny1p05cwZpaWlMgoj0ZPz48bC1tcW0Erihx8EB2LED+PdfYOBATqRKRET0OuT6DkAbaWlpSEtL0zzPvtY+IyMDGRkZedpnr8uvztjJIU2SGh4uMG+eGhkZef8iOnbsGBQKBWrWrKn3z8CU+8LYsC90x9bWFpMmTcLnn3+OESNGICAgIFe9tn1RqRKwdq0M3bvLMXlyFmbMYCb0urJ/CfJ7YRjYD4aDfWE42BdFp81nZFRJ0Ny5czFjxow86/fv3w9bW9sCtwsNDS3NsPQiOC0NmZkypKfLoFYfxe7dT/O02blzJypUqIADBw7oIcL8mWJfGCv2hW74+PjAzc0Nn3zyCSZPnpxvG236Qi4H+vevjLlzA5CaGoWWLf8tqVDNUvDzf6xl9wG/F4aB/WA42BeGg33xas+ePStyW5l4nWnNS5BMJsOOHTvQtWvXAtvkdybIx8cHDx48gIODQ572GRkZCA0NRdu2bWFlZVUaYeuN3NcXSUmAF+7i3r1MyPNJZ6tXr45OnTph0aJFug/wJabcF8aGfaF7W7duRZ8+fVC7dm3UqlULAQEBqFWrFqpVq4ZLly6hXbt2WvWFEMAnn1hi0yYZ9u/PQrNmBnEYN0pyX18AQMq1a/xeGAAenwwH+8JwsC+KLiEhAa6urnj69Gm+uUFORnUmSKlUQqlU5llvZWVV6A/Fq+qNVXo60KK1DDY2ed/bvXv3cP36dTRr1syg3rup9oUxYl/oTq9evZCRkYHjx4/j3Llz+OOPP5D4fHQDGxsbBAYGIjAwELVq1dKUVw1rv3o1cOMG8J//yBEeDvj76+CNmLDs7wK/F4aB/WA42BeGg33xatp8PkaVBNELGavXYVB34K238q/nJKlEhkMmk2HAgAEYMGAAAEAIgdu3byMqKgrbt29HZmYmTp48iR9//FFztrtcuXK5kqLatWsjICAA9vb2AACFAvjlF6BxY6BTJ+D4cWnwBNLSunX6joCIiPRAr0lQUlISYmJiNM9v3LiBqKgouLi4wPf5JQqUv3DnYPyWBkxulX99WFgY3N3d4efnp9O4iOjVZDIZfH194enpCSEE3nnnHVhZWSEzMxMxMTGIjo7WlL1792L58uVQPx8Ozs/PT5MU1apVC4sX18fAgdXQrZsMu3ZJyRFpIThYWvKGYyIis6LXJCgiIgJv5TiVMXbsWADAgAEDsI7/nSvUwYPSf32DgvKvV6lUaNKkCWT5jZ1NRAZJLpejevXqqF69Orp3765Zn5KSgkuXLiE6Ohrnzp1DdHQ0fv75Z9y+fRsAYGHxFg4c2IvKlcMxaNBfCAyUkqSKFSvC0tJSX2+HiIjIYOk1CWrVqhUMZFwGo9N+STt0VABy+f48dVlZWQgPD0dISIgeIiOikmZjY4OgoCAEvfRfj6dPn2rOGO3c+RP27v0Q8+efRWpqNwCAtbU1PvvsM8yZM0cfYRuHdu2k5a5d+o2DiIh0ivcEGaG0NMD78Tk8vzUgj0uXLiExMZGTpBKZOEdHRzRv3hzNmzfHkCHAihXAiBGfYtq0vnjjjXDs3bsXc+fORY0aNdCvXz99h2uYzp3TdwRERKQHTIKMUFgYUAVAPgPlAZAuhbOwsECDBg10GhcR6dfw4UBsLDBjhgN++qkNFi5sjYcPH2LIkCEIDAxEnTp19B0iERGRQWASZIQOHgSqypDv3ECAlATlHEWKiMzHzJlSIvThh4C9vQzffPMNoqKi8P777yMiIgLOzs76DpGIiEjvLPQdAGnv4EFpBKiChjwICwvjpXBEZkomA779FujaFejRAzhyxAbbt2/H48eP0a9fP80oc0REROaMSZCRSUkBVKqCL4VLTExEdHQ0kyAiMyaXAz//LI3+3LUrcOtWRfz888/YvXs3Zs+ere/wiIiI9I5JkJH5+29pYASZT3mgfPk89SdPnoQQgpOkEpk5hQLYsgVo0UKaTNXJqQOmT5+OadOmYe/evfoOz3CUz/9YSkREpo33BBmZ/fsBT0/A5tzJfK+HU6lUcHBwQI0aNXQfHBEZFGtrYOdOoEMHoH17YP/+yQgLC0Pv3r1x6tQpVKhQQd8h6t/Jk9KSk6USEZkVngkyMvv3S9NaFDQHalhYGBo1agQLC3YtEQG2tsAffwABAUC7dhYYNWojnJ2d0a1bN6SkpOg7PCIiIr3gX8pGJDYWOHv2+dx+YWFSyUEIAZVKxfuBiCgXe3tg3z6gTh2ge3cHfPHFXly8eBGffvopJ6zO51hKRESmj5fDGZHQUGnZti2AwK7Sk9hYTf0///yDe/fu8X4gIsrD3h7Yswd4911g5MgqGDXqNyxY0A5NmzbF4MGD9R2e/nTtKi1v3dJrGEREpFs8E2RE9u8H6tUD3Nzyrw97/t9MJkFElJ8yZaRL41q2BJYubYuOHVdg5MiRCA8P13doREREOsUkyEio1S/uByqISqVCpUqV4FZQlkREZs/GRhosITgY2L9/GHx9J6B79+64f/++vkMjIiLSGSZBRuLMGeD+fekPl4KoVCqeBSKiV1IqgW3bgF69ZIiJ+RKPHvXHBx98gMzMTH2HRkREpBNMgozEvn3SKE9Nm+Zfn5aWhtOnT3NQBCIqEisrYN06YPx4IDl5Fv76qx0mT56i77CIiIh0gkmQkdi1C2jTRvoPbn6ioqKQnp7OJIiIikwmA+bPB5YsAYAJmD+/GrZu3annqIiIiEofR4czAg8fAsePA99+m2Pl9Om52qhUKiiVStSpU0ensRGR8fvsM8DNTaB//77o1eswKlSIQYMGlfUdlm68dCwlIiLzwCTICOzeLQ2M0LFjjpVDhuRqo1KpUK9ePSgUCt0GR0QmoW9fGZyc0tGlSwM0b/4AJ08mIzCwjL7DKn3Zx9KMDP3GQUREOsXL4YzA778DDRsCnp4FtwkLC+OlcET0Wjp1ssUffzxARoZAw4ZZOHzYzCdSJSIik8UkyMClp0uDInTq9FLFJ59IBUB8fDxu3LjBJIiIXluHDpXw/ffRSE8/idat1Vi7Vt8RlbIcx1IiIjIfTIIM3NGjQEIC0LnzSxV//CEVcJJUIipZH37YFZ99th9q9fcYNAgYNUr6h4xJynEsJSIi88EkyMD9/jvg7Q3UrVtwm7CwMHh4eMDX11dncRGRaVuwYDbefHMj7O1DsGqVwFtvAXfu6DsqIiKiksEkyIAJISVBnTpJQ9kWRKVSoUmTJpAV1oiISAtyuRybN2+Cvf2PqF59CG7eFKhXDzh4UN+RERERvT4mQQbszBng+nXgvfcKbpOVlYXw8HBeCkdEJc7d3R3btm3DpUvr0KHDZNSqJc1XtmCBNGIlERGRsWISZMC2bgVcXIC33y64zYULF5CUlMRBEYioVDRt2hRfffUV1qyZg4EDN2L8eGDCBGnI/vh4fUdHRERUPEyCDJQQUhLUtStgZVVwu7CwMFhYWKBBgwY6i42IzMuwYcPQr18/DB36MXr3Poc9e4DISCAwUJrHjIiIyNgwCTJQZ88CV68C3bsX0OD2beD2bahUKtSqVQt2dnY6jY+IzIdMJsOqVatQuXJlvP/++2jS5AnOngXq15fOCI0eDaSm6jvKYnp+LCUiIvPCJMhAbd0KODkBrVsX0EAuh7C0xPHjx3kpHBGVOltbW/zyyy+4f/8++vfvDzc3NXbtApYuBVatkiZ0jozUd5TFIJdLhYiIzAqTIAOU81I4haKANnFxmDtmDC5evIjOeSYRIiIqeZUqVcL69evx+++/Y968eZDJpDmETp4ELC2BRo2AKVOAtDR9R6qF+Hje3EREZIaYBBmgc+eAK1eA//yn4DZJVargw6+/xuLFi9GpUyfdBUdEZq1Tp06YOnUqJk+ejP379wOQ7g0KDwemTgXmzZMuk4uI0HOgRVW3buETsRERkUliEmSANmwAnJ2loWjzs2jRIiQlJcHezg5jx47VbXBEZPamTp2K4OBg9O7dGzdv3gQgnbWeOhU4dQpQKoEmTaRR5JKT9RwsERFRPpgEGZisLOCnn4BevfK/FG758uUYN24c7MqU4WAIRKQXlpaW+Pnnn2Fvb49u3bohNceoCIGBgEoFzJgh3S9Usybw66/SZb5ERESGgkmQgfnrL+DuXaB//7x1a9aswciRI/HZZ5/Bzt5e98ERET3n4uKC7du34/z58xg5cmSuOisrYNIk4Px5ICBAur/x3XeBGzf0EysREdHLmAQZmB9/BKpVk24wzmn9+vUYPHgwhg0bhsWLF0Omn/CIiDTq1auHlStXYs2aNVizZk2e+kqVgF27gF9+AaKipLNCM2cCKSm6j5WIiCgnJkEGJDFR+mOhf39AliPL2bZtGwYMGICBAwdi+fLlkMmYAhGRYRg4cCCGDBmCESNGICKf0RBkMuC994CLF4GRI6UkqGpV6bJftbr4ryuEwMOHD3H27Fns3bsXP/74I06ePInMzMzXeDdERGQuODmCAdm+HXj2DOjb98W6P/74A7169ULPnj2xevVqWFg8z1sHDtRLjEREL1u6dCkiIyPRrVs3nDp1Cq6urnna2NkBCxYAgwcDEydK/+xZuhRYvBho2TJ322fPnuHu3bu4c+dOocu0fMbitrOzQ7NmzfDmm2/izTffRMOGDWFtbV1w8DyWEhGZJSZBBmTVKqBtW8DXV3oeGhqKbt26oXPnzvjf//4HS0vLF43nztVPkEREL1Eqldi2bRvq16+P3r17Y8+ePbmPV89lZmbCxiYeEybcRb16Kfjuu2po1codPj6R8Pb+FgkJf+Pu3bt48uRJru3s7e3h5eUFb29v+Pv7o3nz5prn2cuyZcvi3LlzOHLkCI4cOYKFCxdi8uTJUCgUaNy4sSYpatq0Kexz3lOZfSzNyCjFT4iIiAwNkyADcfo0EBYG7NghPT98+DC6dOmCNm3aYNOmTbCystJvgEREhfD19cWmTZvQrl07fPzxx6hUqVKeszfx8fFQ57gGztLSCmXLDsa9exNx+/a3qFz5ND788BSCgpTw9vbWJDn2RRwIpkmTJmjSpAnGjx+PrKysXEnRd999h9mzZ8PS0hL16tXTJEVvvPEGXFxcSutjISIiA8UkyECsXAmULw906gScOHECnTp1QrNmzbB9+3Yo8hsre84cafnFF7oNlIioAK1bt8aiRYswfvx4ODk5aZKYunXromPHjnnO3ri6usLCwgIZGdKgMDNnBuGrr4LQqxcwbZp071BxWVpaom7duqhbty5GjRoFIQQuX76sSYq2bNmCxYsXIwSAe7lyuPT++7Czs0PdunXh5+dXYp8JEREZJiZBBuDpU+Dnn6WJBc+ejUSHDh0QFBSEX3/9teBr2Zctk5ZMgojIgHz22WcYPXr0i/sXi8DKCvjoI6BfP+CHH4BZs4AaNYAPPgDGjQPq1n39uGQyGapXr47q1atj8ODBAICbN2/CrU4dpCcmotGBA7h69SoWLVqEypUra84Uvfnmm/D39+eANEREJoajwxmAH38E0tKA5s0vom3btqhevTr++OMPlClTRt+hERFpTZsEKCeFAhg6FIiJkQZNOH4cCAoCgoOlOdRKesJVPz8/2NrYwMnREefPn8fatWuxYcMGtG/fHhEREfjwww9RsWJF+Pr6ok+fPli1ahUuXLgAwZlfiYiMHpMgPcvMBP7v/4B27RLQu3cr+Pr6Ys+ePXBwcNB3aEREemFtDYwYAVy9CmzYANy7B7RuLc2ftnlz6Y1h4OzsjO7du2PZsmU4c+YMHjx4gN9++w0ffPABYmJiMGLECAQEBKBcuXJ4//338dVXX+HKlSulEwwREZUqJkF6tm2bNIt6RER3uLq6IjQ0FM7OzvoOi4hI7+RyoFcvIDIS2L8fcHSULpHz8wOmTwfu3i3d13dxcUHnzp2xcOFChIWF4cmTJ9i/fz+GDh2Khw8fYuLEiahWrRratm2LHTt2cI4iIiIjwiRIj4QAZs1Kh7X1ETg5/YMDBw7kO78GEZE5k8mk6QP+/BM4dw7o0gVYtEhKhnr2BI4cKflL5fJjZ2eHtm3bYubMmTh8+DAeP36Mn376CcnJyXj//ffh7++PmTNnIjY2tvSDISKi18IkSI82b36I8+cVcHT8FgcOHICHh4e+QyIiMmi1akmjad65AyxZApw5I022GhAgTcZa2meHcrKxsUHfvn1x/PhxREZG4p133sG8efPg6+uLnj174siRI7x/iIjIQDEJ0pP4+HsYNOg6rKzO4vjxWfDx8dFuB0ePSoWIyAw5OgIjRwIXL0pniOrWlYbV9vEBOnaULjVOSyvCjkroWBoUFITvvvsOd+7cwaJFixAVFYWWLVuidu3a+Oabb5CQkPDar0FERCWHSZAePHr0CE2bTkNKSkOsWFEWFStW0H4nlStLhYjIjMlk0qAJGzYAsbHAN98Ajx4B//kP4OUFDB4MHDggDUKTrxI+ljo5OWH06NG4dOkS/vzzT1SrVg2jRo2Ct7c3Pv30U0RHR5fYaxERUfExCdKxp0+fol279rh1axjq1UvGxx976zskIiKT4OQEDBkCnDgBXLggJUB//gm0aQN4ewOffgocPgxkZZV+LDKZDK1bt8b27dvxzz//YOzYsdixYwdq166NN998E5s3b0Z6enrpB0JERPliEqRDSUlJeOedd3DxYm1kZQVi6dIyKPb8exUrSoWIiPKoUQOYOxe4dg0IDwf69wd27QJatQLKl5eSpV27AHWF0j+Wli9fHjNmzMDNmzexefNmWFhY4IMPPoCvry+mTJmC27dvl+rrExFRXkyCdCQlJQXvvvsuzp69Dju7b/Duu8Abb7zWDqVCREQFksmAhg2BhQul6QiOH5eG3T5wAOjUCbj3Twoe3U3BDz/I8PixslRjUSgU6NGjBw4dOoTo6Gh0794dS5cuhb+/P9577z2EhoZCrVaXagxERCRhEqQDaWlpeO+99xAWFoYuXcKRkKDEV1/pOyoiIvNiYQE0bSqNKnf1qnTJnJ09oFYDn35qiQ8/bI/GjeWYOFG6jC41tfRiCQgIwPLly3Hnzh0sX74cMTExaNeuHWrUqIGvvvoKjx8/Lr0XJyIiJkGlLSMjAz179sShQ4ewbNmf2LLFBxMnAhWKMRYCERGVDJlMumTOrgzgWhb4999MjB4diWrVBNauleYlcnaWlvPnSxO2lsa9RPb29hg2bBjOnj2LI0eOoF69ehg3bhy8vb3x8ccfIzIysuRflIiImASVpszMTPTt2xe7d+/G1q078c03TVGhAjB+vL4jIyKinFxdgbfeuo0ff8xCXJw0/9Ds2YCVFfDll0D9+oCLC9C+PTBrFnDoEPDsWcm9vkwmQ4sWLbBx40bcvn0bkyZNwr59+1C/fn00adIEP/74I1JL89QUEZGZYRJUStRqNQYNGoTt27dj8+bNiIhoj6goYP16wMZG39EREVFBZDIgMBAYOxbYvRt4/FgaVW7CBOmSukWLgLfekuYqatIE+O9/gc2bpUEYSmJuVA8PD0yaNAk3btzAjh074ODggAEDBqB8+fIYP348Ll68iOTkZE7ESkT0GuT6DsAUCSEwbNgwrF+/Hhs2bICz83uYPRuYNEm6QbdEtGpVQjsiIjJjRTiWKhTAm29KBZDuITp/Hvj7b6ls3y7dZwRIl9A1aJC7+PigWCOByuVydO3aFV27dsWVK1ewatUqrF69GgsXLgQAWFlZwcXFBS4uLnB2dtY8fvn5y4+dnJwgl/PXPxGZNx4FS5gQAmPGjMF3332HtWvXomnTD9CgAdCyJTBlSgm+0MaNJbgzIiIzlX0szcgo8iYWFkDt2lIZNkxad/8+cOoUcPIkEBEB/O9/0hDdgHQZXXb7WrVeLB0cih5m1apVsWTJEsyaNQt///03Hjx4gMePH+PRo0d49OiR5vG1a9cQERGhWV/QXESOjo5aJU4uLi7w8PBg8kREJoNHsxIkhEBISAi+/vprfPPNN+jadSBatQLs7KRLJfi7g4jINLm5SfcLtW//Yt3du1JCdOYMcO6cNOLcypUvBljw85OSoYAAoFo1oEoVoGpVoFy5gs8c2draol27dkWKSQiBZ8+e5Zssvfz44cOHiImJ0TxPSEjIsz+5XI4KFSqgUqVKqFy5MipVqqR5XKFCBVhbW2v7sRER6Q3/LC9BM2fOxPz587FkyRL07TsM7doBt29L15K7upbwi/38s7Ts06eEd0xEZEayj6U9epT4rr28gHfflUq21FTg0iUpKYqOlpabNwO3br24n8jBQUqGspOiqlWl+Vz9/QF396JfWieTyVCmTBmUKVMG5cuX1yr2zMxMPHnyRJMsPXjwADdv3sS1a9cQExODgwcPYs2aNZrBGmQyGcqXL58rMcq5dNDmtBcRkQ4wCSohW7ZswbRp0zB79mz07fsZgoOlOSgOHJD+01fiPv9cWjIJIiIqvuxjaSkkQfmxtgbq1pVKTqmp0sAKV65IcxhduSKVgweBuLgX7ZRK6QySn5+UFOV87OsLeHpKI9q9LrlcDldXV7gW8h88tVqN2NhYTWJ07do1XLt2DVFRUdi2bRuePn2qaevq6ponMcp+7ObmBllxbpoiInoNTIJKyLvvvov169ejXr0+aNoUSEwEQkOlm2KJiIgKY20tXRYXEJC3LiEBuHEDuHkT+OefF8vISGDHDuDBg9zt3dyks1CentIyu2Q/9/SU2rzu1WsWFhbw9vaGt7c33sweNeI5IYTmHqWcSVJMTAwOHDiAuByZnZ2dnSYx8vf3R0pKCmxsbFC9enV4enrCqiSyOiKilzAJKiEKhTUePeqDevWkyxZCQzkhKhERvT4HB6BOHankJylJupzu1i0gNla6Fym7nD8v/T6KjQUyM3NvZ2cnJUOuroUvXVwAJyepFDVxkslkKFu2LMqWLYtGjRrlE3MSrl+/nucs0vbt23Hr1i188803mraWlpawsbHRFGtr61zPi7O+sLa2trYcAKIUqdVqWFhwhhbSP4P4lq9YsQILFy5EXFwc6tSpg2XLluV70DRkGzcCo0YBI0cC8+YBtrb6joiIiMyBnR1Qs6ZUCqJWS2eMspOk+/el5zmXMTGASiU9fvw4//0olS8SopeLo+OLx/b2Ulx2dkCZMi8ev1hnh8DAQAQGBubaf0ZGBn799VfUqFEDt27dQnx8PFJSUpCSkoLU1FTN45fXJSUl4f79+4W21Yabmxu8vb3h5eWVa5nzcdmyZY3+j/nMzMw8n1N2SUpKQkREBFJSUpCRkVHoZ6tNXVZWFlxdXQv9bL28vODm5mb0n6+5EEIgKyvL6P55oPdoN2/ejLFjx2LVqlVo3LgxvvrqKwQHB+Py5csoV66cvsMrsg8+kK7Jbt5c35EQERHlZmEhjTpXrlzBZ5RyyswEHj58kRA9eZK7PH364vGDB1IClbM+ewS8wuLJmxgBtraWePKkOfz93WFrGwAbG+nsU/bSyQnw8ECe9S8vrayk+Z2yl3K5gBBpyMpKRWpq4X+8JyYmIi4uDnfu3MGdO3cQGRmJ33//HfHx8bkmqLWysoKXl1eeP+ZfXtrZ2RWrz4pKrVYjISHhlSMA5vdY2+SwKGfUHB0dCz3TJpfLce/ePdy9exd37tzBmTNnsGfPHsTFxUGtVmteSy6Xw9PTs9DP1svLi4NulKCXB0TR5mdqwIABWL16tb7fglb0ngQtWbIEn3zyCT788EMAwKpVq7Br1y788MMPmDhxop6jKzpLSyZARERkGuRyaSQ6d3fttxUCSEuTLtPLWZKT8657uSQmAhkZFoiLk/aRmgqkpORdajGt03MyANYArCGXO2mSo5yJUkHLsmWlxMvCQo2MjDRkZDxDWppUUlOTcP9+Em7dSkJycgKePUtEevoDAHEAwgFkQaGwhIODLRwc7ODoWAZOTnZwdLSHs7MDXFwc4OLiCBcXB1hYCKSmJuPZs2Q8e5aEZ8+SkJwsLZOSEp8vE5CUlIjk5EQkJSUgMTEBycmJECILgPp5EQDUsLCQwd7eDg4OdnBwsIeDQ0U4OASiRg17ODk5wMHBHvb2ZWBjo4S1tRLW1grNYxsbJeRyS0RFReLtt9+CnZ0dlEoFZDKZZnTCnMv81hV1mf04KysTDx48QFxcLOLi4hAbexdxcXGIi4tFbGwsLlyIwN27d5GQ8OT5ewQAgTJl7ODl5QkPDw94eXnC09NTs/T29oKnpyc8PT2gVCq0iq3Qn6ZXtCmJfRSXNkPjv/w452AmOSkUijzzhlWpUiXXfGIvn9U1BnpNgtLT03Hq1CmEhIRo1llYWKBNmzY4ceJEnvZpaWlIS0vTPM+exyAjIwMZ+RwRs9flV2fsZGvXAgCEkbw3U+4LY8O+MBzsC/3LPpayL0qWpaV0eZyjo3bbZWRkIDRUhbZt2xY6IEJWlpQQZZfsBCk1VYbUVClJysgA0tOlkv04MxNIT5flWpdz+eJx3jZZWYAQSshkSsjlzpDJpETJ1lbab1aWDFlZQEaGGmlpmUhLy0JGRhbS09VISRFITBS4dUsGtVoqgCWkP8OylwDg9Ly8PrVaOmNXwN+1RVSxRGIpGjkAj+el6JKTpREVr14tlaAMhBWALgXUqfNZZ/O8eD1/LvJpI5FGZhSQyWTIefVhzhEbs7KkM74vD8KSU79+Ak2a6P/4qc0xXCZyntvVsbt378Lb2xvHjx9H06ZNNevHjx+Pw4cPIywsLFf76dOnY8aMGXn2s2HDBtjyJhwiIiIyAkIIJCYm4uHDh88nq30ES0srlCnjgDJl7J4Xe9jYlIGVlQJqtXSGTQjZ8yI9lq4ekxWp/kU7WY62+e3n5fVSnRQ3cizzW5fzPcryqdNmPwXvXwhZnnW5X1Pg2bNUJCcnIykpCUlJycjMzMrzmi/v7+X1BSn6X84ld7rnRYyvfk2FQgFrayWUSmsolUpYW1tDoVAU6x6ror6ut3cSatcuJEvSkWfPnqF37954+vTpKy+V1PvlcNoICQnB2LFjNc8TEhLg4+ODdu3a5ftGpf8ohb7yP0pU+tgXhoN9YTjYF4aDfWEY2A+Gg31hONgXRZd9lVhR6DUJcnV1haWlJeLj43Otj4+Ph4dH3tOhSqUSSqUyz3orK6tCfyheVW+U3n5bWv71l37j0JJJ9oWRYl8YDvaFHmUfS/ftA8C+MBTsB8PBvjAc7ItX0+bz0evYgwqFAvXr18eBAwc069RqNQ4cOJDr8jjKx8WLUiEiouLjsZSIyCzp/XK4sWPHYsCAAWjQoAEaNWqEr776CsnJyZrR4oiIiIiIiEqS3pOgnj174v79+5g6dSri4uJQt25d7N27F+7FGZeTiIiIiIjoFfSeBAHAiBEjMGLECH2HQUREREREZkCv9wQRERERERHpmkGcCaJi8PfXdwRERMaPx1IiIrPEJMhYnTih7wiIiIxf9rFUi1nGiYjI+PFyOCIiIiIiMis8E2Ssjh+Xls2a6TcOIiJjln0sbdhQv3EQEZFOMQkyVt26ScvYWP3GQURkzLKPpbdu6TcOIiLSKV4OR0REREREZoVJEBERERERmRUmQUREREREZFaYBBERERERkVlhEkRERERERGaFo8MZq5kz9R0BEZHx47GUiMgsMQkyVh9/rO8IiIiMX/axNCNDv3EQEZFO8XI4IiIiIiIyK0yCjNWgQVIhIqLi47GUiMgs8XI4Y7Vnj74jICIyfjyWEhGZJZ4JIiIiIiIis8IkiIiIiIiIzAqTICIiIiIiMitMgoiIiIiIyKwY9cAIQggAQEJCQr71GRkZePbsGRISEmBlZaXL0EqfWi0tC3jvhsak+8LIsC8MB/vCADw/lmYkJLAvDAC/E4aDfWE42BdFl50TZOcIhTHqJCgxMREA4OPjo+dI9MjRUd8REBEZP1dXfUdAREQlJDExEY6v+BtZJoqSKhkotVqNu3fvwt7eHjKZLE99QkICfHx8cPv2bTg4OOghQsrGvjAc7AvDwb4wHOwLw8B+MBzsC8PBvig6IQQSExPh5eUFC4vC7/ox6jNBFhYWKF++/CvbOTg48IfGQLAvDAf7wnCwLwwH+8IwsB8MB/vCcLAviuZVZ4CycWAEIiIiIiIyK0yCiIiIiIjIrJh0EqRUKjFt2jQolUp9h2L22BeGg31hONgXhoN9YRjYD4aDfWE42Belw6gHRiAiIiIiItKWSZ8JIiIiIiIiehmTICIiIiIiMitMgoiIiIiIyKwwCSIiIiIiIrNi0knQihUr4O/vD2trazRu3Bjh4eH6DslgHTlyBJ07d4aXlxdkMhl27tyZq14IgalTp8LT0xM2NjZo06YNrl69mqvNo0eP0KdPHzg4OMDJyQkfffQRkpKScrU5e/YsWrRoAWtra/j4+GDBggV5Ytm6dSuqV68Oa2tr1K5dG7t379Y6FmM2d+5cNGzYEPb29ihXrhy6du2Ky5cv52qTmpqK4cOHo2zZsrCzs0O3bt0QHx+fq82tW7fQsWNH2Nraoly5chg3bhwyMzNztTl06BDq1asHpVKJypUrY926dXniedX3qCixGKuVK1ciMDBQM0Fd06ZNsWfPHk09+0E/5s2bB5lMhjFjxmjWsS90Y/r06ZDJZLlK9erVNfXsB926c+cO+vbti7Jly8LGxga1a9dGRESEpp6/u3XD398/z/dCJpNh+PDhAPi9MFjCRG3atEkoFArxww8/iPPnz4tPPvlEODk5ifj4eH2HZpB2794tJk2aJH755RcBQOzYsSNX/bx584Sjo6PYuXOnOHPmjHj33XdFhQoVREpKiqZN+/btRZ06dYRKpRJHjx4VlStXFr169dLUP336VLi7u4s+ffqI6OhosXHjRmFjYyO+/fZbTZtjx44JS0tLsWDBAnHhwgUxefJkYWVlJc6dO6dVLMYsODhYrF27VkRHR4uoqCjxzjvvCF9fX5GUlKRpM3ToUOHj4yMOHDggIiIiRJMmTUSzZs009ZmZmaJWrVqiTZs24vTp02L37t3C1dVVhISEaNpcv35d2NrairFjx4oLFy6IZcuWCUtLS7F3715Nm6J8j14VizH77bffxK5du8SVK1fE5cuXxRdffCGsrKxEdHS0EIL9oA/h4eHC399fBAYGitGjR2vWsy90Y9q0aSIgIEDExsZqyv379zX17AfdefTokfDz8xMDBw4UYWFh4vr162Lfvn0iJiZG04a/u3Xj3r17ub4ToaGhAoA4ePCgEILfC0NlsklQo0aNxPDhwzXPs7KyhJeXl5g7d64eozIOLydBarVaeHh4iIULF2rWPXnyRCiVSrFx40YhhBAXLlwQAMTJkyc1bfbs2SNkMpm4c+eOEEKIb775Rjg7O4u0tDRNmwkTJohq1appnvfo0UN07NgxVzyNGzcWQ4YMKXIspubevXsCgDh8+LAQQnq/VlZWYuvWrZo2Fy9eFADEiRMnhBBSUmthYSHi4uI0bVauXCkcHBw0n//48eNFQEBArtfq2bOnCA4O1jx/1feoKLGYGmdnZ7FmzRr2gx4kJiaKKlWqiNDQUNGyZUtNEsS+0J1p06aJOnXq5FvHftCtCRMmiDfeeKPAev7u1p/Ro0eLSpUqCbVaze+FATPJy+HS09Nx6tQptGnTRrPOwsICbdq0wYkTJ/QYmXG6ceMG4uLicn2ejo6OaNy4sebzPHHiBJycnNCgQQNNmzZt2sDCwgJhYWGaNm+++SYUCoWmTXBwMC5fvozHjx9r2uR8new22a9TlFhMzdOnTwEALi4uAIBTp04hIyMj12dQvXp1+Pr65uqP2rVrw93dXdMmODgYCQkJOH/+vKZNYZ91Ub5HRYnFVGRlZWHTpk1ITk5G06ZN2Q96MHz4cHTs2DHP58W+0K2rV6/Cy8sLFStWRJ8+fXDr1i0A7Add++2339CgQQP85z//Qbly5RAUFITVq1dr6vm7Wz/S09Oxfv16DBo0CDKZjN8LA2aSSdCDBw+QlZWV64cJANzd3REXF6enqIxX9mdW2OcZFxeHcuXK5aqXy+VwcXHJ1Sa/feR8jYLa5Kx/VSymRK1WY8yYMWjevDlq1aoFQPoMFAoFnJyccrV9+XMq7medkJCAlJSUIn2PihKLsTt37hzs7OygVCoxdOhQ7NixAzVr1mQ/6NimTZsQGRmJuXPn5qljX+hO48aNsW7dOuzduxcrV67EjRs30KJFCyQmJrIfdOz69etYuXIlqlSpgn379mHYsGEYNWoU/ve//wHg72592blzJ548eYKBAwcC4PHJkMn1HQARFWz48OGIjo7G33//re9QzFa1atUQFRWFp0+fYtu2bRgwYAAOHz6s77DMyu3btzF69GiEhobC2tpa3+GYtQ4dOmgeBwYGonHjxvDz88OWLVtgY2Ojx8jMj1qtRoMGDTBnzhwAQFBQEKKjo7Fq1SoMGDBAz9GZr++//x4dOnSAl5eXvkOhVzDJM0Gurq6wtLTMM9pFfHw8PDw89BSV8cr+zAr7PD08PHDv3r1c9ZmZmXj06FGuNvntI+drFNQmZ/2rYjEVI0aMwB9//IGDBw+ifPnymvUeHh5IT0/HkydPcrV/+XMq7mft4OAAGxubIn2PihKLsVMoFKhcuTLq16+PuXPnok6dOli6dCn7QYdOnTqFe/fuoV69epDL5ZDL5Th8+DC+/vpryOVyuLu7sy/0xMnJCVWrVkVMTAy/Ezrm6emJmjVr5lpXo0YNzeWJ/N2tezdv3sSff/6Jjz/+WLOO3wvDZZJJkEKhQP369XHgwAHNOrVajQMHDqBp06Z6jMw4VahQAR4eHrk+z4SEBISFhWk+z6ZNm+LJkyc4deqUps1ff/0FtVqNxo0ba9ocOXIEGRkZmjahoaGoVq0anJ2dNW1yvk52m+zXKUosxk4IgREjRmDHjh3466+/UKFChVz19evXh5WVVa7P4PLly7h161au/jh37lyuX26hoaFwcHDQ/NJ81WddlO9RUWIxNWq1GmlpaewHHWrdujXOnTuHqKgoTWnQoAH69Omjecy+0I+kpCRcu3YNnp6e/E7oWPPmzfNMn3DlyhX4+fkB4O9ufVi7di3KlSuHjh07atbxe2HA9D0yQ2nZtGmTUCqVYt26deLChQti8ODBwsnJKdfIG/RCYmKiOH36tDh9+rQAIJYsWSJOnz4tbt68KYSQhrZ0cnISv/76qzh79qzo0qVLvsNsBgUFibCwMPH333+LKlWq5Bpm88mTJ8Ld3V3069dPREdHi02bNglbW9s8w2zK5XKxaNEicfHiRTFt2rR8h9l8VSzGbNiwYcLR0VEcOnQo15Cbz54907QZOnSo8PX1FX/99ZeIiIgQTZs2FU2bNtXUZw+32a5dOxEVFSX27t0r3Nzc8h1uc9y4ceLixYtixYoV+Q63+arv0atiMWYTJ04Uhw8fFjdu3BBnz54VEydOFDKZTOzfv18IwX7Qp5yjwwnBvtCV//73v+LQoUPixo0b4tixY6JNmzbC1dVV3Lt3TwjBftCl8PBwIZfLxezZs8XVq1fFzz//LGxtbcX69es1bfi7W3eysrKEr6+vmDBhQp46fi8Mk8kmQUIIsWzZMuHr6ysUCoVo1KiRUKlU+g7JYB08eFAAyFMGDBgghJCGt5wyZYpwd3cXSqVStG7dWly+fDnXPh4+fCh69eol7OzshIODg/jwww9FYmJirjZnzpwRb7zxhlAqlcLb21vMmzcvTyxbtmwRVatWFQqFQgQEBIhdu3blqi9KLMYsv34AINauXatpk5KSIj799FPh7OwsbG1txXvvvSdiY2Nz7eeff/4RHTp0EDY2NsLV1VX897//FRkZGbnaHDx4UNStW1coFApRsWLFXK+R7VXfo6LEYqwGDRok/Pz8hEKhEG5ubqJ169aaBEgI9oM+vZwEsS90o2fPnsLT01MoFArh7e0tevbsmWteGvaDbv3++++iVq1aQqlUiurVq4vvvvsuVz1/d+vOvn37BIB83xO/F4ZJJoQQejkFRUREREREpAcmeU8QERERERFRQZgEERERERGRWWESREREREREZoVJEBERERERmRUmQUREREREZFaYBBERERERkVlhEkRERERERGaFSRAREREREZkVJkFERGRUWrVqhTFjxug7DCIiMmJMgoiISGc6d+6M9u3b51t39OhRyGQynD17VsdRERGRuWESREREOvPRRx8hNDQU//77b566tWvXokGDBggMDNRDZEREZE6YBBERkc506tQJbm5uWLduXa71SUlJ2Lp1K7p27YpevXrB29sbtra2qF27NjZu3FjoPmUyGXbu3JlrnZOTU67XuH37Nnr06AEnJye4uLigS5cu+OeffzT1hw4dQqNGjVCmTBk4OTmhefPmuHnz5mu+WyIiMlRMgoiISGfkcjn69++PdevWQQihWb9161ZkZWWhb9++qF+/Pnbt2oXo6GgMHjwY/fr1Q3h4eLFfMyMjA8HBwbC3t8fRo0dx7Ngx2NnZoX379khPT0dmZia6du2Kli1b4uzZszhx4gQGDx4MmUxWEm+ZiIgMkFzfARARkXkZNGgQFi5ciMOHD6NVq1YApEvhunXrBj8/P3z++eeatiNHjsS+ffuwZcsWNGrUqFivt3nzZqjVaqxZs0aT2KxduxZOTk44dOgQGjRogKdPn6JTp06oVKkSAKBGjRqv9yaJiMig8UwQERHpVPXq1dGsWTP88MMPAICYmBgcPXoUH330EbKysjBz5kzUrl0bLi4usLOzw759+3Dr1q1iv96ZM2cQExMDe3t72NnZwc7ODi4uLkhNTcW1a9fg4uKCgQMHIjg4GJ07d8bSpUsRGxtbUm+XiIgMEJMgIiLSuY8++gjbt29HYmIi1q5di0qVKqFly5ZYuHAhli5digkTJuDgwYOIiopCcHAw0tPTC9yXTCbLdWkdIF0Cly0pKQn169dHVFRUrnLlyhX07t0bgHRm6MSJE2jWrBk2b96MqlWrQqVSlc6bJyIivWMSREREOtejRw9YWFhgw4YN+PHHHzFo0CDIZDIcO3YMXbp0Qd++fVGnTh1UrFgRV65cKXRfbm5uuc7cXL16Fc+ePdM8r1evHq5evYpy5cqhcuXKuYqjo6OmXVBQEEJCQnD8+HHUqlULGzZsKPk3TkREBoFJEBER6ZydnR169uyJkJAQxMbGYuDAgQCAKlWqIDQ0FMePH8fFixcxZMgQxMfHF7qvt99+G8uXL8fp06cRERGBoUOHwsrKSlPfp08fuLq6okuXLjh69Chu3LiBQ4cOYdSoUfj3339x48YNhISE4MSJE7h58yb279+Pq1ev8r4gIiITxiSIiIj04qOPPsLjx48RHBwMLy8vAMDkyZNRr149BAcHo1WrVvDw8EDXrl0L3c/ixYvh4+ODFi1aoHfv3vj8889ha2urqbe1tcWRI0fg6+uL999/HzVq1MBHH32E1NRUODg4wNbWFpcuXUK3bt1QtWpVDB48GMOHD8eQIUNK8+0TEZEeycTLF1ITERERERGZMJ4JIiIiIiIis8IkiIiIiIiIzAqTICIiIiIiMitMgoiIiIiIyKwwCSIiIiIiIrPCJIiIiIiIiMwKkyAiIiIiIjIrTIKIiIiIiMisMAkiIiIiIiKzwiSIiIiIiIjMCpMgIiIiIiIyK/8P/9LkDwgqOGEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>distr</th>\n",
       "      <th>score</th>\n",
       "      <th>LLE</th>\n",
       "      <th>loc</th>\n",
       "      <th>scale</th>\n",
       "      <th>arg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>beta</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7617.998147</td>\n",
       "      <td>175019820388073280.0</td>\n",
       "      <td>(5.430892672079526, 5494446168642.1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dweibull</td>\n",
       "      <td>0.322892</td>\n",
       "      <td>NaN</td>\n",
       "      <td>162259.866684</td>\n",
       "      <td>57572.257467</td>\n",
       "      <td>(1.0565869685325044,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>genextreme</td>\n",
       "      <td>0.322892</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-12855.472292</td>\n",
       "      <td>160488.617718</td>\n",
       "      <td>(0.20297352622893103,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>loggamma</td>\n",
       "      <td>0.322892</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-25631294.12118</td>\n",
       "      <td>3463136.403422</td>\n",
       "      <td>(1725.8387011302857,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>norm</td>\n",
       "      <td>0.545091</td>\n",
       "      <td>NaN</td>\n",
       "      <td>180364.800427</td>\n",
       "      <td>79943.434305</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>t</td>\n",
       "      <td>0.545091</td>\n",
       "      <td>NaN</td>\n",
       "      <td>180357.541466</td>\n",
       "      <td>79943.936027</td>\n",
       "      <td>(29106257.140585788,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>gamma</td>\n",
       "      <td>0.545091</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1249052.007424</td>\n",
       "      <td>4119.582047</td>\n",
       "      <td>(346.9678612734183,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>expon</td>\n",
       "      <td>1.108472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12789.0</td>\n",
       "      <td>167575.800427</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>lognorm</td>\n",
       "      <td>1.448411</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12789.0</td>\n",
       "      <td>5.056262</td>\n",
       "      <td>(10.888185136336912,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pareto</td>\n",
       "      <td>2.250696</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12789.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>(0.0259468197579538,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>uniform</td>\n",
       "      <td>5.801256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12789.0</td>\n",
       "      <td>742211.0</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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iIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVIiIiIh6QzdsFiIiISOZlt8PatRARAUWKQOPG4Ovr7apSh0KViIiIpIrwcOjXD44fv9FWvDh89BG0b++9ulKLHv+JiIiIx4WHw5NPJgxUACdOWO3h4d6pKzUpVImIiIhH2e1WD5UxiY/Ft/Xvb52Xmejxn4iIiKTYzWOnTp9O3EN1M2Pg2DHr/CZN0qzEVKdQJSIiIimS1NgpV0REpE493qJQJSIiIm65uVdq/34YPjzpR313U6SIx0vzKoUqERERcVlye6VuZrNZswAbN/ZcXemBQpWIiIi4JH5GX3J6peLZbNY/x43LfOtVafafiIiI3NWdZvS5o3hxmDcvc65TpZ4qERERuau1a5P/yG/sWAgJyfwrqnu9p+rEiRM8++yzFChQgICAAKpWrcrmzZudx40xDB06lCJFihAQEEBYWBj79+9PcI0LFy7QuXNngoKCyJs3L927d+fy5csJztm+fTuNGzcmR44chIaGMnLkyES1zJ07lwoVKpAjRw6qVq3KDz/8kOC4K7WIiIhkRsmZqWezQWgovPoqdOpkLZ+QWQMVeDlUXbx4kUaNGpE9e3aWLFnC7t27+fDDD8mXL5/znJEjRzJ+/HgmTpzIxo0byZkzJy1atODatWvOczp37syuXbtYvnw53333HWvWrKFnz57O49HR0TRv3pySJUuyZcsWRo0axfDhw5k8ebLznPXr19OpUye6d+/OH3/8Qdu2bWnbti07d+50qxYREZHMyN2Zepl57NRtGS964403zP3333/b4w6HwxQuXNiMGjXK2RYZGWn8/f3NzJkzjTHG7N692wDmt99+c56zZMkSY7PZzIkTJ4wxxnz66acmX758JiYmJsG9y5cv73zfsWNH06pVqwT3r1+/vnnppZdcruVuoqKiDGCioqJcOl9ERCS9iIszpnhxY2w2Y6yRVXd+hYYaM3++t6v2DFd/f3u1p2rRokXUqVOHDh06UKhQIWrWrMnnn3/uPH7o0CFOnTpFWFiYsy1PnjzUr1+fDRs2ALBhwwby5s1LnTp1nOeEhYXh4+PDxo0bnec88MAD+Pn5Oc9p0aIF+/bt4+LFi85zbr5P/Dnx93GlFhERkczK19faCBlu9ELFi38/YgR88w2sWgWHDmXOweh34tVQdfDgQT777DPKlSvH0qVL6dWrF3379uWrr74C4NSpUwCEhIQk+FxISIjz2KlTpyhUqFCC49myZSN//vwJzknqGjff43bn3Hz8brXcKiYmhujo6AQvERGRjKp9e2vmXrFiCduLF4f582Ho0Kwxdup2vDr7z+FwUKdOHd59910Aatasyc6dO5k4cSJdunTxZmke8d577zFixAhvlyEiIuIx7dtDmzY3VlTP7DP63OHVnqoiRYpQqVKlBG0VK1bk6NGjABQuXBiA06dPJzjn9OnTzmOFCxfmzJkzCY7HxcVx4cKFBOckdY2b73G7c24+frdabjVkyBCioqKcr2PHjiV5noiISHpit8Pq1TBzpvXP2NiE78HqjcrKvVJJ8WqoatSoEfv27UvQ9ueff1KyZEkASpcuTeHChVmxYoXzeHR0NBs3bqRBgwYANGjQgMjISLZs2eI8Z+XKlTgcDurXr+88Z82aNVy/ft15zvLlyylfvrxzpmGDBg0S3Cf+nPj7uFLLrfz9/QkKCkrwEhERSc/Cw6FUKXjoIXjmGeufgYEJ35cqZZ0nt0ijgfNJ2rRpk8mWLZt55513zP79+83XX39tAgMDzf/+9z/nOe+//77JmzevWbhwodm+fbtp06aNKV26tLl69arznJYtW5qaNWuajRs3mnXr1ply5cqZTp06OY9HRkaakJAQ89xzz5mdO3eaWbNmmcDAQDNp0iTnOb/88ovJli2bGT16tNmzZ48ZNmyYyZ49u9mxY4dbtdyJZv+JiEh6Nn++a7P7bDbrlVlm992Nq7+/vRqqjDFm8eLFpkqVKsbf399UqFDBTJ48OcFxh8Nh3n77bRMSEmL8/f1Ns2bNzL59+xKcc/78edOpUyeTK1cuExQUZLp27WouXbqU4Jxt27aZ+++/3/j7+5tixYqZ999/P1Etc+bMMffee6/x8/MzlStXNt9//73btdyJQpWIiKRX8UsmuLJcQnywCg21PpfZufr722ZMSnfxEVdFR0eTJ08eoqKi9ChQRETSldWrrUd77lq1yhpXlZm5+vvb69vUiIiIiPclZxualHwuM1KoEhEREbe3oUnp5zIjhSoRERGhcWNrEc9bV0u/nfjNkhs3Tt26MhKFKhEREbnjNjS3ypKbJbtAoUpERESA229Dc2twKl7cOi+r7e13N17dpkZERETSl6S2oWnYENav17Y0d6NQJSIiIgn4+iZeJiGzL5vgCXr8JyIiIuIBClUiIiIiHqBQJSIiIuIBClUiIiIiHqCB6iIiIoLdnnDGn2b4uU+hSkREJIsLD4d+/eD48RttxYtbi4FqLSrX6fGfiIhIFhYeDk8+mTBQAZw4YbWHh3unroxIoUpERCSLstutHipjEh+Lb+vf3zpP7k6hSkREJIux22H1anjqqcQ9VDczBo4ds8Zayd1pTJWIiEgWktT4qbuJiEi9ejIThSoREZEsIn78VFKP++6kSJHUqSez0eM/ERGRLOBO46fuJDTUWl5B7k6hSkREJAtYu9a9R37xxo3TelWuUqgSERHJApIzLmrECK1T5Q6FKhERkSzA3XFRxYvDW2+lTi2ZlUKViIhIFtC4sRWUbLY7n2ezWa+PPtJjP3cpVImIiGQBvr5WUII7B6vixWHePD32Sw6FKhERkSyifXsrMBUrlrA9ONhaOX3VKjh0SIEqubROlYiISBbSvj20aWPNBoyIsMZaNW6sR32eoFAlIiKSxfj6QpMm3q4i89HjPxEREREPUE+ViIhIFmG367FfalKoEhERyaTiQ9SJE7BiBSxcCBcu3DhevLg1I1AD0z1DoUpERCQTCg+39vq709Y0J05YGyxrCQXP0JgqERGRTCY83ApLd9vrL35z5f79rV4tSRmFKhERkUzEbrd6qOID090YA8eOWY8JJWUUqkRERDKRd965ew9VUpKz4bIkpFAlIiKSSYSHw7BhyfusuxsuS2IKVSIiIplA/GO/5AgNtZZXkJRRqBIREckE1q5N3mM/mw3GjdN6VZ6gUCUiIpIJfPut+58pUEDLKXiSQpWIiEgGN3cuTJjg+vn588OIEXD6tAKVJ2nxTxERkQzKbrdm+7k6OD13bliwwNpMWY/7PE+hSkREJAMKD4e+fa1V0V3VvTs0a5Z6NWV1ClUiIiIZTPyK6a4u8BmvTZvUqUcsGlMlIiKSgbi7Yno8LZuQ+hSqREREMpDkLp2gZRNSn0KViIhIBjJ6tHvn+/hYswM1yy/1KVSJiIhkAHY7dOwI33/v3ufeftsafyWpT6FKREQknZs3D/Lls3qc3FGggBWqJG24HaqOHTvG8Zse5m7atIn+/fszefJkjxYmIiIiMGgQdOgAly65/9nJkzWOKi25HaqeeeYZVq1aBcCpU6d4+OGH2bRpE2+99Rb//ve/PV6giIhIVvX66+6PoQIIDob58zWOKq25Hap27txJvXr1AJgzZw5VqlRh/fr1fP3110ybNs3T9YmIiGRJr78OY8a4/7k8eazZgQpUac/tUHX9+nX8/f0B+Omnn2jdujUAFSpUICIiwrPViYiIZEEDByYvUAF88QX4+Xm2HnGN26GqcuXKTJw4kbVr17J8+XJatmwJwMmTJylQoIDHCxQREclK5s6FDz9M3mcHDtRMP29yO1R98MEHTJo0iSZNmtCpUyeqV68OwKJFi5yPBUVERMR9djv06JG8z77+Oowa5dl6xD1u7/3XpEkTzp07R3R0NPny5XO29+zZk8DAQI8WJyIikpV07gzR0e59JijIeuTXoUPq1CSuS9Y6VcYYtmzZwqRJk7j0zxxPPz8/hSoREZFkmj3bermjY0e4cEGBKr1wu6fqyJEjtGzZkqNHjxITE8PDDz9M7ty5+eCDD4iJiWHixImpUaeIiEimNXcuPP20e58ZMCD5Y68kdbjdU9WvXz/q1KnDxYsXCQgIcLa3a9eOFStWeLQ4ERGRzC483OpxcocCVfrkdk/V2rVrWb9+PX63zNcsVaoUJ06c8FhhIiIimZ3dDn37uveZDh0UqG7r1CkoXNhrt3e7p8rhcGC32xO1Hz9+nNy5c3ukKBERkaxg7Vpwpz8iRw6YOTP16smwtm2DZ5+F4sXh11+9Vobboap58+aMGzfO+d5ms3H58mWGDRvGo48+6snaREREMrVvv3Xv/Dfe0F5+TsbAypXQsiXUqAFff211/f34o9dKshljjDsfOH78OC1atMAYw/79+6lTpw779++nYMGCrFmzhkKFCqVWrRledHQ0efLkISoqiqCgIG+XIyIiXjR3Ljz1lJUNXBEQYG2qnOVDld1uDUQbORI2b7bafHys56KDBkHt2h6/pau/v90eU1W8eHG2bdvGrFmz2L59O5cvX6Z79+507tw5wcB1ERERSVpyBqdPn57FA9Xff8O0adaAsoMHrbaAAOjWzRq5X6aMV8uDZIQqgGzZsvHss896uhYREZFMLzYWevZ07zODBmXh7WfOn4dPPoEJE+DcOastf3549VXo3RuCg71b303cDlXTp0+/4/Hnn38+2cWIiIhkVnY7/Oc/8O67cP26658bNgyGD0+1stKvw4etXaW//NLqpQIoVcraj6drV8iZ05vVJcntMVU3b00DcP36df7++2/niuoXLlzwaIGZicZUiYhkTfPmwXPPwbVr7n0uf344cyaLPfb74w9rE8M5c6wkClCzJgwebHXXZUvWQ7YUSbUxVRcvXkzUtn//fnr16sWgQYPcvZyIiEimZbfDM89Y+SA5+vXLIoHKGFixwhp8vnz5jfaHH7bCVLNmYLN5rz4Xud1TdTubN2/m2WefZe/evZ64XKaknioRkawjPByefx6uXEne53PlgsjITB6q4uKsbryRI60eKrBm8j31lDWQrGZN79b3j1TrqbrthbJl4+TJk566nIiISIYVHg5PPJGyawwalIkD1ZUrMHWqNZPv8GGrLSAAevSA116D0qW9Wl5yuR2qFi1alOC9MYaIiAg+/vhjGjVq5LHCREREMiK73coGKREUBG+95Zl60pVz5+Djj63X+fNWW8GC1ky+V16x/pyBuR2q2rZtm+C9zWYjODiYpk2b8qE2IxIRkSzMbofq1SGJ4cdu+fLLTNZLdfCgNZNvyhS4etVqK1PGmsn3wgsQGOjV8jwlWXv/3fyy2+2cOnWKb775hiJFiiS7kPfffx+bzUb//v2dbdeuXaN3794UKFCAXLly8cQTT3D69OkEnzt69CitWrUiMDCQQoUKMWjQIOLi4hKcs3r1amrVqoW/vz9ly5Zl2rRpie7/ySefUKpUKXLkyEH9+vXZtGlTguOu1CIiIllXeLg1y3/XrpRdJ1OtSbVlCzz9NJQrZ601dfWqteL57Nmwb5/VO5VJAhUkI1Slht9++41JkyZRrVq1BO2vvfYaixcvZu7cufz888+cPHmS9u3bO4/b7XZatWpFbGws69ev56uvvmLatGkMHTrUec6hQ4do1aoVDz30EFu3bqV///706NGDpUuXOs+ZPXs2AwYMYNiwYfz+++9Ur16dFi1acObMGZdrERGRrGvOHGsMVUxM8q8REGBdZ+RIz9XlFcbAsmUQFgZ16lgByuGAFi2sGX6//WYtJ++FpRFSm0uz/wYMGODyBceMGeNWAZcvX6ZWrVp8+umn/Pe//6VGjRqMGzeOqKgogoOD+eabb3jyn8i+d+9eKlasyIYNG7jvvvtYsmQJjz32GCdPniQkJASAiRMn8sYbb3D27Fn8/Px44403+P7779m5c6fznk8//TSRkZH8+M+mi/Xr16du3bp8/PHHgNUbFxoayquvvsqbb77pUi2u0Ow/EZHMZ+BAa7x1cmXPDv/6F7z9dgZ/5BcXdyMVbttmtfn6Wj1VgwZZz0UzKI/O/vsjfprjXdiSsYZE7969adWqFWFhYfz3v/91tm/ZsoXr168TFhbmbKtQoQIlSpRwBpkNGzZQtWpVZ6ACaNGiBb169WLXrl3UrFmTDRs2JLhG/DnxjxljY2PZsmULQ4YMcR738fEhLCyMDRs2uFxLUmJiYoi56T9boqOj3f5+REQk/Ro8OGWBqmNH+OabDB6mrlyxBoGNGQNHjlhtgYHw4ovWTL6SJb1bXxpyKVStWrUqVW4+a9Ysfv/9d3777bdEx06dOoWfnx958+ZN0B4SEsKpU6ec59wcqOKPxx+70znR0dFcvXqVixcvYrfbkzwnfs0tV2pJynvvvceIESNue1xERDKu2Fhr4e/kmjXLWo4pwzpzxprF98knEL+bSnAw9O0LvXpBgQLerc8LvPZA89ixY/Tr14/ly5eTI0cOb5WRqoYMGZLg0Wl0dDShoaFerEhERDyldu3kfzZDB6q//rJ6paZOvbHvzj33WM9Bu3SxBodlUckKVZs3b2bOnDkcPXqU2NjYBMfCw8NdusaWLVs4c+YMtWrVcrbZ7XbWrFnDxx9/zNKlS4mNjSUyMjJBD9Hp06cpXLgwAIULF040Sy9+Rt7N59w6S+/06dMEBQUREBCAr68vvr6+SZ5z8zXuVktS/P398ff3d+n7EBGRjOPyZbhpqK5bBg3KoIHqt9+srrn5862B5wB161rPQNu1y+DPMD3D7dl/s2bNomHDhuzZs4cFCxZw/fp1du3axcqVK8mTJ4/L12nWrBk7duxg69atzledOnXo3Lmz88/Zs2dnxYoVzs/s27ePo0eP0qBBAwAaNGjAjh07EszSW758OUFBQVSqVMl5zs3XiD8n/hp+fn7Url07wTkOh4MVK1Y4z6ldu/ZdaxERkaxh3jzIndv9z2XPngFn9xkDP/4ITZtCvXowd64VqB55BFatgo0brfUfFKgsxk1Vq1Y1H3/8sTHGmFy5cpkDBw4Yh8NhXnzxRTN06FB3L5fAgw8+aPr16+d8//LLL5sSJUqYlStXms2bN5sGDRqYBg0aOI/HxcWZKlWqmObNm5utW7eaH3/80QQHB5shQ4Y4zzl48KAJDAw0gwYNMnv27DGffPKJ8fX1NT/++KPznFmzZhl/f38zbdo0s3v3btOzZ0+TN29ec+rUKZdrcUVUVJQBTFRUVDK+HRER8baBA42xkoZ7r/btjYmL83b1boiNNWbGDGOqVr3xQ2TLZsxzzxmzbZu3q0tzrv7+djtUBQYGmkOHDhljjMmfP7/Zvn27McaY3bt3m8KFC7tf6U1uDVVXr141r7zyismXL58JDAw07dq1MxEREQk+c/jwYfPII4+YgIAAU7BgQfP666+b69evJzhn1apVpkaNGsbPz8+UKVPGTJ06NdG9J0yYYEqUKGH8/PxMvXr1zK+//prguCu13I1ClYhIxjVgQPICVevW3q7cDZcuGTN2rDGhoTd+gJw5jXntNWOOHPF2dV7j6u9vl9apulnx4sVZsmQJVatWpVq1agwZMoROnTqxYcMGWrZsSVRUVGp0qGUKWqdKRCTjsdutMVDz57v/2b594aOPPF+Tx50+DRMmWDP5IiOttpCQGzP58uXzanne5tF1qm72wAMPsHz5cqpWrUqHDh3o168fK1euZPny5TRr1ixFRYuIiKQnM2dC585Wl427KlXKAIHqzz+thba++urGcvDlylmj6Z97DjLp7PzU4nJP1c6dO6lSpQoXLlzg2rVrFC1aFIfDwciRI1m/fj3lypXj//7v/8iXxdPsnainSkQk46hXz5rwllwxMeDn57l6PGrjRmvE/IIFNxJj/frWTL42bTTw/BYe76mqVq0adevWpUePHjz99NOAtfL4m2++mfJqRURE0pE2bVIWqAYMSIeByhhYssQKUz//fKP9scesMHX//ZCMnVHkBpeXVPj555+pXLkyr7/+OkWKFKFLly6sXbs2NWsTERFJc1evwqJFyf98nTop27rG42JjYfp0qFYNWrWyAlX27PDCC9ZiW4sXQ+PGClQe4HKoaty4MVOmTCEiIoIJEyZw+PBhHnzwQe69914++OCDO27XIiIiklG0a5f8z7ZqlbIeLo+6dMla+fyee6yVznfutBbYGjgQDh60VkSvXNnbVWYqbs/+u9lff/3F1KlTmTFjBqdOnaJly5YsSkm8z+Q0pkpEJH2z2yFbMjdwe+wxq9PH6yIiYPx4+OwziJ+RX7gw9O8PL70Et+xjK3fn6u/vFIUqgCtXrvD1118zZMgQIiMjsdvtKblcpqZQJSKSvhUpAsl58JIuAtW+fTB6tPWoL34LufLlrZl8zz4L2jYt2VJtSYV4a9asYcqUKcyfPx8fHx86duxI9+7dk3s5ERERrypdOnmB6vHHUzYGK8U2bLAGny9ceGMmX4MG8MYbVnE+bu9IJ8nkVqg6efIk06ZNY9q0afz11180bNiQ8ePH07FjR3LmzJlaNYqIiKSqOnXg8GH3P/f661bnUJpzOOD7760wtW7djfbWra2ZfI0aeaEocTlUPfLII/z0008ULFiQ559/nm7dulG+fPnUrE1ERCTVzZwJW7a495lq1awB6Wm+bEJMDHzzDYwaBXv2WG3Zs1sLdQ4cCBUrpnFBcjOXQ1X27NmZN28ejz32GL5aFExERDIBu93KI+7w84Pff0/j9TGjomDyZBg3Dk6etNqCguDll6FfPyhaNA2LkdtxOVRpVp+IiGQ2zzxjBSt3TJuWhoHq5Elrr5uJEyE62morWtSaydezJ+TJk0aFiCuSPVBdREQkI5s9G+bMce8z994LnTqlTj0J7NljDdaaMQOuX7faKla0ZvI984xm8qVTClUiIpLlhIfDPzuuuczHB3bvTp16nH75xRp8fvPTofvvtwaft2qlmXzpnEKViIhkKbGx8MQT7n9u7txUeuzncFiLXI0cCevXW202m7UB4aBB0LBhKtxUUoMir4iIZBkzZybvyVnLltC+vYeLiYmBL7+ESpWgbVsrUPn5QY8eVpfYggUKVBmMSz1V7gxSb926dbKLERERSS1168Lmzcn7bHi4BwuJjIRJk6yZfPGrjebJA716Qd++1rLukiG5FKratm2b4L3NZuPm3W1sN+1srW1qREQkvalTx/21qOK1bg0BAR4o4vhxaybfpEnWZscAxYrBa6/Biy9aSyRIhubS4z+Hw+F8LVu2jBo1arBkyRIiIyOJjIzkhx9+oFatWvz444+pXa+IiIhbHnss+YGqdm1r95cU2bULunaFMmWsGX2XLkHlytbaDAcPWsuyK1BlCm4PVO/fvz8TJ07k/vvvd7a1aNGCwMBAevbsyZ74FV5FRES87LHHrN1ckqNmzeQ/LsQYa/uYkSPhu+9utD/4oDX4/JFHNJMvE3I7VB04cIC8efMmas+TJw+Hk7NxkoiISCqoXdta+Tw5SpVK5mftdms5hJEj4ddfrTabDdq1s5ZFqF8/eQVJhuB2TK5bty4DBgzg9OnTzrbTp08zaNAg6tWr59HiRERE3HH1KnTrZuWY5AaqggXh0CE3P3TtGnz+uTWTr317K1D5+8NLL8HevTB/vgJVFuB2T9WUKVNo164dJUqUIDQ0FIBjx45Rrlw5vv32W0/XJyIi4pJHH4UlS1J2jdy54exZNz5w8aK1hcxHH0F8Z0PevNC7N7z6KoSEpKwgyVDcDlVly5Zl+/btLF++nL179wJQsWJFwsLCEswCFBERSQuxsZAr143dXJKrQAE4d87Fk48ds5ZEmDwZLl+22kJDYcAA6N7dSmeS5djMzWsjuOnatWv4+/srTLkoOjqaPHnyEBUVRZBmeoiIpNjgwTBqVMqvU6MG/PGHCyfu2GHdcOZMiIuz2qpWtQp56inInj3lxUi64+rvb7fHVDkcDv7zn/9QrFgxcuXKxaF/Hjy//fbbfPnll8mvWERExA2eClQ1a94lUBkDP/9s7b1XrZq1yXFcHDz0kPW8cds2ePZZBSpxP1T997//Zdq0aYwcORI/Pz9ne5UqVfjiiy88WpyIiEhSYmM9E6hKl77DgHa73Rpgft990KQJ/PCDtQxChw6waROsXGntX6OnNfIPt0PV9OnTmTx5Mp07d8b3pp0lq1ev7hxjJSIikpry50/5NUqVstbeTOTqVWvV8woV4MknrQCVI4e1jcy+fTBnjrXnjcgt3B6ofuLECcqWLZuo3eFwcD2lowRFRETuom9fuHIlZdeoWTOJHqoLF+Czz2D8eDhzxmrLlw/69LFehQql7KaS6bkdqipVqsTatWspWbJkgvZ58+ZRs2ZNjxUmIiJyq7NnYcKElF2jVq1btq05ehTGjIEvvriR1kqUsLaP6dbNmloo4gK3Q9XQoUPp0qULJ06cwOFwEB4ezr59+5g+fTrf3bwUv4iIiAeVLQsHDqTsGq1b37SX37Zt1sCsWbOs8VMA1atbI+A7dNDAc3Gb22Oq2rRpw+LFi/npp5/ImTMnQ4cOZc+ePSxevJiHH344NWoUEZEsLm/e5Aeq3LnhxRfh779h4bfmxgDzGjXg66+tQNWsGSxdak0DfOYZBSpJFrd6quLi4nj33Xfp1q0by5cvT62aREREnEqWhKio5H32778hIABrCYTwcGtPvvhnf/Ez+QYNsjYKFEkht3qqsmXLxsiRI4mLX/BMREQkFZUubQ15So6BAyHA/A2ffgrly1uLc27ZYqWs3r1h/37r0Z8ClXiI22OqmjVrxs8//0ypUqVSoRwRERFLqVJw5EjyPtup+XlG5f4ESk64sfdMgQLWLL7evSE42GN1isRzO1Q98sgjvPnmm+zYsYPatWuTM2fOBMdbt27tseJERCRrKlTIzY2N/1GSw7xbcAzPrPsSlv1tNZYqZc3k69oVbvmdJeJJbu/95+Nz+yeGNpsNe/wMCklEe/+JiNxdwYJw/rx7n6nBHwxiFB2ZQzb++T1Us6Y1k+/JJyGb230IIk6u/v52+39lDocjRYWJiIgk5epVa0ko13/NGJqxgsGMpDk3TZ56+GErTDVrpi1kJE25vaTCza5du+apOkREJAtr0wYCA10LVL7E8RSz2EJtfuJhmrOcOHyhUydrmfRlyyAsTIFK0pzbocput/Of//yHYsWKkStXLg7+s3HS22+/zZdffunxAkVEJPOy261FPRctuvu5gVyhNx+zn3LMohO1+IO/CeCbAq+S7eB++OYb65GfiJe4Hareeecdpk2bxsiRI/Hz83O2V6lShS+++MKjxYmISOY1b5411Olui3oW5CzDGM4RSvIxr1Kaw5ylIEMZQa0CR3nm3Hhr7QURL3N7TNX06dOZPHkyzZo14+WXX3a2V69enb1793q0OBERyXzsdmjf/u69U6U5yADG0I0pBHIVgAOU4UNeZxov4JsrkEvn0qBgERe5HapOnDhB2bJlE7U7HA6uX7/ukaJERCRzmjfPWsT8TmqxhUGMogNz8cUaZLWZ2oxkMOG0x042cuWCS5fSoGARN7j9+K9SpUqsXbs2Ufu8efOoqWfZIiJyG6+/fqdAZXiYZSwnjC3U4Wlm44uDH2lBU1ZQl9+YS0fsZKNAAQUqSZ/c7qkaOnQoXbp04cSJEzgcDsLDw9m3bx/Tp0/nu+++S40aRUQkg2vdGhYvTtyejet0YC6DGUkNtgEQhy8z6cRoBrKd6gnOL1gweYuCiqQFt3uq2rRpw+LFi/npp5/ImTMnQ4cOZc+ePSxevJiHH344NWoUEZEMrEWLxIEqkCu8ynj2U45v6EwNtnGZnIylP/dwgOeZkShQlSqlQCXpm9srqkvyaUV1EclKLl+G3LkTtgVzhj58TG8+oQAXADhDMB/Rj8/oxUXyJ3mtfv1g3LhULljkNlJtRXUREZE7iY21Vjg4efJG2z38xQDG0JWpBGAtHL2fsoxmINN5nmsE3PZ6MTFw0wo+IumWS6EqX7582FxcmfbChQspKkhERDKuvn1hwoQb7+vwG4MYxRPMd87k20RdPuANvqUtDnxve60CBeCclkyQDMSlUDXupj7X8+fP89///pcWLVrQoEEDADZs2MDSpUt5++23U6VIERFJ386ehUKF4t8ZWrCUwYykKauc53zPo4xkMGt4ALjzf6ifPw/5k34SKJJuuT2m6oknnuChhx6iT58+Cdo//vhjfvrpJ7799ltP1pepaEyViGRGefJAdLQ1k+8pZjOYkVRjBwDXycY3PMNoBrKTqne9Vr58oAcekt64+vvb7VCVK1cutm7dmmgB0L/++osaNWpw+fLl5FWcBShUiUhm4+MDgeYyPfiCAYyhBMcAuEQuJtOTcfTnOKEuXUu9U5Jeufr72+0lFQoUKMDChQsTtS9cuJACBQq4ezkREcmgQmyn+bf5P44RyjheowTHOEUIQ3iXEhxlIB+6HKiMUaCSjM/t2X8jRoygR48erF69mvr16wOwceNGfvzxRz7//HOPFygiIunLhV//ZG6DDznCV+QgBoA/KccoBjGD54ghh1vX08I+klm4HapeeOEFKlasyPjx4wkPDwegYsWKrFu3zhmyREQkE9q4kUX3j+SxuAW8hJWEfqU+H/AGi2h9x5l8SdH4Kcls3ApV169f56WXXuLtt9/m66+/Tq2aREQkvXA4YMkSGDkS1qyh9T/Ni3mMkQxmHfdzt5l8SdH4KcmM3BpTlT17dubPn59atYiISHoRGwtffQXVqsFjj8GaNcSSnam8QGV20prFrKMx7gaqqlU1fkoyL7cHqrdt21bLJoiIZFbR0fDhh1CmDLzwAuzaRTS5GcVAynCQbkxlN5WTdelLl2D7ds+WK5KeuD2mqly5cvz73//ml19+oXbt2uTMmTPB8b59+3qsOBERSSMRETB+PHz2GURFWU0UZhz9mcRLRJE32ZeuXh22bvVMmSLpmdvrVJUuXfr2F7PZOHjwYIqLyqy0TpWIpDv79sHo0TB9uvXID9hLeUYxiP/xLLH4J/vSvr4QGQm5cnmoVhEvSbUNlQ8dOpSiwkREJB3YsMEafL5woXNNg/U05AMGs5jHMe6PDkkgWza4ft0ThYpkHG6Hqnjn/tnlsmDBgh4rRkREUpHDAd9/b4WpdeuczdcfaU2TJYNZTyOP3UqBSrIit/5TJDIykt69e1OwYEFCQkIICQmhYMGC9OnTh8jIyFQqUUREUiQmBqZOhSpVoHVrK1Blzw7duhFWdDd+SxZ6LFAFBmoxT8m6XO6punDhAg0aNODEiRN07tyZihUrArB7926mTZvGihUrWL9+Pfny5Uu1YkVExA1RUTB5MowbBydPWm1BQTh6vkx4aD869Cvq0dudOQPBwR69pEiG4nKo+ve//42fnx8HDhwgJCQk0bHmzZvz73//m7Fjx3q8SBERccPJk/DRRzBxorVEAkDRosT16U/XDT353+g8Hr1dwYJw9qxHLymSIbn8+O/bb79l9OjRiQIVQOHChRk5ciQLFizwaHEiIuKGPXuge3coVcoaNxUdDRUrwtSp9Gp5iOz/GsT/Fns2UJ0/r0AlEs/lnqqIiAgqV779gm9VqlTh1KlTHilKRETc8MsvVohatOhGW+PGMHgw9haPks0vZTP5kuLnZw3VEpEbXP5/WsGCBTl8+PBtjx86dIj82ndARCRtOBzWcgiNGsH991uBymaDdu1g/XpYs4YvTz/m8UBls1ljpxSoRBJzuaeqRYsWvPXWWyxfvhw/P78Ex2JiYnj77bdp2bKlxwsUEZGbxMTA//4Ho0ZZC3eC1W3UpQu8/jqUL+9s8vSyBpGRkMezTw9FMhWXV1Q/fvw4derUwd/fn969e1OhQgWMMezZs4dPP/2UmJgYNm/eTGhoaGrXnGFpRXURSbbISJg0yZrJFz/UIk8eeOUVePVVKFKEy5ehbVtYscKzty5aFE6c8Ow1RTISV39/u9wvXLx4cTZs2EClSpUYMmQIbdu2pV27drz11ltUqlSJX375xe1A9d5771G3bl1y585NoUKFaNu2Lfvi/8vrH9euXaN3794UKFCAXLly8cQTT3D69OkE5xw9epRWrVoRGBhIoUKFGDRoEHFxcQnOWb16NbVq1cLf35+yZcsybdq0RPV88sknlCpVihw5clC/fn02bdrkdi0iIh51/DgMGgQlSsCbb1qBqnhxa9PjY8fg3XehSBFq1oTcuT0fqB5/XIFKxGUmGS5cuGA2btxoNm7caM6fP5+cSxhjjGnRooWZOnWq2blzp9m6dat59NFHTYkSJczly5ed57z88ssmNDTUrFixwmzevNncd999pmHDhs7jcXFxpkqVKiYsLMz88ccf5ocffjAFCxY0Q4YMcZ5z8OBBExgYaAYMGGB2795tJkyYYHx9fc2PP/7oPGfWrFnGz8/PTJkyxezatcu8+OKLJm/evOb06dMu13I3UVFRBjBRUVHJ/cpEJKvYudOYF14wJnt2Y6z1NI2pXNmYr74yJiYmwak+PjdO8eTr77+99LOLpDOu/v5OVqhKLWfOnDGA+fnnn40xxkRGRprs2bObuXPnOs/Zs2ePAcyGDRuMMcb88MMPxsfHx5w6dcp5zmeffWaCgoJMzD//4hk8eLCpXLlygns99dRTpkWLFs739erVM71793a+t9vtpmjRoua9995zuZa7UagSkTtyOIxZs8aYxx5LmG4efNCY77+3jt9k797UCVPVq3vlpxdJt1z9/e35ebYpEBUVBeCcRbhlyxauX79OWFiY85wKFSpQokQJNmzYAMCGDRuoWrVqgvWzWrRoQXR0NLt27XKec/M14s+Jv0ZsbCxbtmxJcI6Pjw9hYWHOc1yp5VYxMTFER0cneImIJGK3w4IF0LAhPPAAfPedNc3uiSfg119h9Wp49FGrDTh61PpjhQqeLSMsDC5dgq1bPXtdkawi2Rsqe5rD4aB///40atSIKlWqAHDq1Cn8/PzImzdvgnNDQkKca2KdOnUq0YKk8e/vdk50dDRXr17l4sWL2O32JM/Zu3evy7Xc6r333mPEiBEufgMikuVcuwYzZsDo0fDnn1abvz+88II1k69cOeepZ89a63ieP+/5Mg4ehNKlPX9dkawm3fRU9e7dm507dzJr1ixvl+IxQ4YMISoqyvk6duyYt0sSkfTg4kV47z1r5fOePa1AlTcvvPUWHDlibS9Trhx2O3z5pdUrVaiQ5wPVkSPWAz8FKhHPSBc9VX369OG7775jzZo1FC9e3NleuHBhYmNjiYyMTNBDdPr0aQoXLuw859ZZevEz8m4+59ZZeqdPnyYoKIiAgAB8fX3x9fVN8pybr3G3Wm7l7++Pv7+/G9+EiGRqx45ZSyJMngyXL1ttoaEwYIC1vUzu3M5TP/kE+vRJvVJcW0xHRNzh1Z4qYwx9+vRhwYIFrFy5ktK3/OdS7dq1yZ49OytumiO8b98+jh49SoMGDQBo0KABO3bs4MyZM85zli9fTlBQEJUqVXKes+KWecbLly93XsPPz4/atWsnOMfhcLBixQrnOa7UIiKSpB074PnnoUwZGDPGClRVq1qP/g4cgP79IXdu9u2zeqVsttQLVJUqKVCJpJq0GTeftF69epk8efKY1atXm4iICOfr75vm8b788sumRIkSZuXKlWbz5s2mQYMGpkGDBs7j8UsqNG/e3GzdutX8+OOPJjg4OMklFQYNGmT27NljPvnkkySXVPD39zfTpk0zu3fvNj179jR58+ZNMKvwbrXcjWb/iWQhDocxq1YZ88gjCafWPfSQMUuWJJjJt2tX6sziu/V16ZL3vg6RjCxDLKkAJPmaOnWq85yrV6+aV155xeTLl88EBgaadu3amYiIiATXOXz4sHnkkUdMQECAKViwoHn99dfN9evXE5yzatUqU6NGDePn52fKlCmT4B7xJkyYYEqUKGH8/PxMvXr1zK+//prguCu13IlClUgWEBdnzNy5xtSteyPN+PgY06GDMZs2OU+7dMmYpk3TJkzt3+/F70MkE3D197fL29RIymmbGpFM7OpV+Oora6Xzv/6y2nLkgK5drTFTZcty+TK0aQMrV6ZNSf7+1gRDEUkZV39/p4uB6iIiGdaFC/DppzB+vLXuAUC+fNagqD59oFAhrl6Fovms7fvSyrRp1h7LIpJ2FKpERJLjyBEYOxa++AKuXLHaSpSw1pfq1g1y5eLECShuS9uyvvoKOncGX9+0va+IKFSJiLhn2zYYNQpmzbJWQgeoXh0GD4YOHSB7dg4dgjK573wZT2va1PObKYuIexSqRETuxhhYtQpGjoSlS2+0N2tmhamHHwabjagoaw3PtNSpk7VAaEBA2t5XRBJTqBIRuZ24OAgPt8LUli1Wm4+P1SM1aBDUro3dDtOmQI8eaVdW2bKwcSP8s02qiKQTClUiIrf6+29rpPeHH1ob44HVFdStGwwYQGzxMvzrX/BhnbQt67nnYPr0tL2niLhOoUpEJN7589b+MBMmwLlzVluBAtYsvt69OREbTGho2q9I/uabMGIE+Pml7X1FxD0KVSIihw9b28d8+aXVSwXWZscDB3KhTVdqNgrk6Ii0LUmz+EQyHoUqEcm6/vjDmsk3Z86NmXw1a8Lgweyr+iQVqmSDVNzUOCm7dln784lIxqNQJSJZizHW2gMjR8Ly5c7m602b88qhwXzxR1PolLaLSwUGwp491jJXIpJxKVSJSNYQFwfz5llh6o8/AHD4+DLT8RSjGcjWlTXTvKQjRxSkRDIThSoRydyuXIGpU62ZfIcPW00E8gU9GOt4jSOUSvOSDh6E0qXT/LYiksoUqkQkczp7lgv/+QTHhI8pyHmriYKMpy+f8goXKJCm5QQFwdGjkCdPmt5WRNKQQpWIZBqnTkGz0gfpdW0M3ZhCfq4CcIAyjGYgX9GFqwSmeV1//60Vz0WyAoUqEcmQzp6FihWtpaUAarGFQYxiO3PxxQHAZmrzAW8QTnscpO3aBEFBsHs3FCuWprcVES9SqBKRDOPyZWjb9uaNgw0Ps5zBjCSMG7sJL6ElIxnMapoAaTeTz9fXWhKhfPk0u6WIpCMKVSKSLp04YQ3mvn498bFsXKcDcxnMSGqwDYA4fJlJJ0YzkO1UT9Na9+5VkBIRhSoRSQeOHrUWML/b9i+BXKE7XzKAMZTiCACXycnnvMg4+nOUkqlf7D9q1oRVqzTwXERuUKgSkTR19KjVA+VwuP6ZYM7Qh4/pzScU4AIApynEePryGb24SP5UqjahXLlg/34oXDhNbiciGYxClYikqgsXoG5da20md93DXwxgDF2ZSgDXANhPWUYzkOk8zzVSf0qdzQZTpsBzz2kfPhG5M4UqEfGoU6es8UXR0cm/Rh1+YxCjeIL5zpl8m6jLB7zBt7RN9Zl8mrknIsnh4+0CRCTjio2FoUOt3pz4V5EiyQ1Uhhb8yEoe4jfq0fGfpRG+51EeZDX12Ug4T6RKoPL1tQabG2O9oqIUqETEfeqpEhGXnT0L1apZvVGeko3rPM0sBjGKauwA4DrZ+IZnGM1AdlLVcze7SdOmsHChNU5KRMQTFKpE5I5iY+Hdd2HECM9eNxeX6MEXvMZYSnAMgEvkYjI9GUd/jhPqsXvZbDBtGnTurHFRIpJ6FKpEJIHLl6FjR1iyJHWuX4jT9GU8r/Ap+YgE4BQhfEQ/JvIykeTzyH1q1YKVK7XkgYikHYUqkSzObofwcOjeHS5dSr37lONPXudDuvAVOYgBYB/3MpqBzOA5YsiR7GsrQIlIeqBQJZIFXbgA991nrbmU2uqxkcGMpB0L8MFa3XMD9zGSwSyidbIHnhcsCDt2aM0oEUk/NPtPJIuIioJ69azxRQUKpG6gsuHgUb5nNQ+ykft4gnB8MCzmMe5nLQ1Zz7e0cylQ2Wzwr39BTMyN2XnGWIPmFahEJD1RT5VIJnX1KvTuDTNnwrVraXPP7MTSiZkMYhRV2AVALNn5H88ymoHsodIdP58tG0yfbo3p0oByEcloFKpEMon4EDVrlvXntJSbaF7kc15jLMU5AUA0uZnIy3xEP06SeNEnPz8rQD35pAKUiGQOClUiGZjdDt99B506pX2QAihMBH0ZTy8+Iy9RAJykCOPozyReIpobI8dtNnj2WZg0CQJSf3cZEZE0p1AlksHEB6mePeHMGe/UcC/7GMhonmc6/sQCsIcKjGIQX9OZWPwJCIA5X0H79uqJEpGsQaFKJIOw2+Htt+G997xXw31sYDAjacNC50y+dTRiJIPZf+9j/LLBhyn5vVefiIg3KVSJpFNXr8Krr1prSF286L06bDhoxfcMZiSNWeds31ehDWU+G8T9TRpxv/fKExFJNxSqRNIJu91axfz//s9af8nh8G49fsTwDN8wiFFUYg8AsTY/HJ2fI8e/Xqd8xYreLVBEJJ1RqBJJY7GxMG6ctRfdsWNw/boVqOLivF2ZJYgoejKZ/oyjGCf/aQyCXr3w69sXihb1boEiIumUQpVIKooPUF99BadOWfvqxcZ6u6qkFeUkI/J/RLfrE/G5FP1PY1F47TVrVHxQkHcLFBFJ5xSqRJIpNhbGj7fGPJ04caPdGGuxzehoaxXw9KxoUdg1bw95vxgNM2bAhevWgUqVYNAgeOYZa0EpERG5K4UqETfFxkLz5vDzz96uJHmKFoXPPoNWeX/B98OR0HDRjYONG8PgwfDoo+CjXaxERNyhUCVyF3Y7rFhhPcJbtQoiIrxdkXuCgqxtX8aPhwB/ByxeDB+MhPXrrRNsNmjb1uqZatDAq7WKiGRkClUit2G3w3/+A+++aw0mzyh8fa26X3/9pid3MTHwv//BqFGwb5/V5ucHXbpYJ5Yv77V6RUQyC4UqkSTMmwfPPZd2GxGnlK8vtGxp7fuXK9dNByIjrX1hxo2zRsoD5MkDr7xiLYJVpIgXqhURyZwUqkT+YbfD6tXwr3/Bpk3ersY1JUrA3r1J7KV3/Dh89JEVqC5dstqKF7dm8r34IuTOnea1iohkdgpVkqXExsLHH8OaNXDlChQsaA0pOnoUNm5MP2tF3Y6Pj9UT5RwjdWuY2rULRo+Gr7++8cyycmVr8PnTT2smn4hIKlKokkwpvtdp5UorMBUvDhs2ZLwZe9mzQ5Uq8M471ozDJDcmNgbWrYMPPoDvv7/R/uCDVph65BErOYqISKpSqJJMwW6HtWut9aKWL4fZszPOeCiweqB8fa1XSAj06mU9qbtjx5LdDgsXWoPPf/3VarPZoH17ayZf/fppUruIiFgUqiRDi5+hN2bMjaFD6ZnNZj2+8/eHatWsjqSwsNv0QN3OtWswfbr1mG//fqvN3x9eeMGayVeuXGqULiIid6FQJRnKzT1SK1bAzJnpp0cqVy7In//Giurx47MKFoRmzazgl2gMlDsuXrRW7Rw/Hk6fttry5oXeva2ZfCEhKf0RREQkBRSqJN26OUCdPQsHD1odNFFR3q4soQcesB45ptoY8GPHYOxYmDzZGl0PEBoKAwZAjx63rKEgIiLeolAl6UJ8gIqIgEKFrD9PmAAXLni7ssRsNqhd25pM9+qrqRimduywxkvNnHmj26tqVeuZ4VNPWaPYRUQk3VCoEq+y262ZbR99lD4D1M18feH//g/eftvNMVDuMMaaojhyJCxZcqP9oYfgjTesKYCaySciki4pVEmaurlHav9+a3jQ+fPeruruOnaEb75JxTBlt8OCBVaY+u03q83HB5580prJV6dOKt1YREQ8RaFK0kx4OPTrZy32nRGULQsvv5zKj/iuXrV2ah49Gg4csNpy5IBu3awxU/fck0o3FhERT1OoEo+7uTeqSBFo2BDefx+GDfN2ZQn5+sJ991lbvTgcVo9ZzpzQuHEqBymwnnV++qnVVXf2rNWWPz/06WPN5itUKBVvLiIiqUGhSjwqqd4oHx8rtHiLnx+0agUNGlj7C/v4QJMm1ivVHufdzpEj1ky+L764MZOvZElrfalu3axUJyIiGZJClbjk1t6nxo2tQHLrGKnhw62x1jdL60AVEGDtzFKpkhfD0622bbNm8s2aZX1pADVqWDP5OnSAbPq/oohIRqd/k8tdJdX7VLw4dOpkzfZPD2OkcueGFi2sMVDpIkSBlS5XrbIGny9deqM9LOzGUuqayScikmkoVMkdhYdbE9Bu7X06ftzqePGmPHmgSxdo1+5Gz1m6EBdnfXEjR8KWLVabj481hXDQIKhVy7v1iYhIqlCoktuy260eqlsDVVrLlw/atIGmTa3B5MHBUKxYOgtSAH//DdOmwYcfWsu/g/Ussnt3ayZf6dJeLU9ERFKXQpXc1tq1af9oL39+a+Zd48Zw5kzC8Vvp1vnz8Mkn1hLw585ZbQUKWD9I797W5n8iIpLpKVTJbUVEpP49ihWDnj2hXLkMEqBudviwtUvyl19avVRg9Ua9/jp07QqBgV4tT0RE0pZCldxWkSKpe/0RI+CttzJQiIr3xx/WgLI5c27M5KtVyxp8/sQTmsknIpJF6d/+cluNG1uz/E6cSNm4qvilF+KFhsK4cdC+fYpLTDvGwIoV1uDz5ctvtDdvboWppk01k09EJItTqJLb8vW1Njp+8kkrL7gSrOLPGzHixiO9hg1h/frEa1xlCHFxMG+eFab++MNq8/WFp56yZvLVqOHV8kREJP1QqMrgbrcop6eu0b69lSluXacqNBSefjrxOlXFiyfdC9WkSXJ+Oi+6cgWmTrVm8h0+bLUFBkKPHvDaa1CqlDerExGRdMhmjLcnzGcd0dHR5MmTh6ioKIKCglJ8vdstyvnRR64/WnP1Gq6sqJ7heqGScvasNZPv44+tWX1gzd7r2xdeecWa1SciIlmKq7+/FarSkCdD1e0W5Ywf1jNv3t2DlSeukWkcPGjN5JsyBa5etdrKlIGBA+GFF6z1pkREJEtSqEqHPBWq7Hbr6dPt1pCy2azepkOHbt9r5IlrZApbtlgz+ebOvbFJYZ061uDz9u0z+Q8vIiKucPX3t08a1iQecrdFOY2BY8es81LzGhmWMdZefGFhVoCaPdsKVC1bwsqVsGmTtcmxApWIiLhBA9UzIFcX5bzTeZ64RoZz/brVIzVyJGzbZrVly2aNuB80CKpV8259IiKSoamnyk2ffPIJpUqVIkeOHNSvX59NmzaleQ2uLsp5p/M8cY0M4/Jla+R9uXLQubMVqHLmhP794cABmDFDgUpERFJMocoNs2fPZsCAAQwbNozff/+d6tWr06JFC86cOZOmdcQvynm7tSZtNmvJg8aNU/ca6d6ZM/D221CihBWgjhyBQoXgv/+Fo0dh7FjrmIiIiAcoVLlhzJgxvPjii3Tt2pVKlSoxceJEAgMDmTJlSprWEb8oJyQORfHvx42785AgT1wj3frrL+jVC0qWtALUxYtQtixMmmQFq7fesnZuFhER8SCFKhfFxsayZcsWwsLCnG0+Pj6EhYWxYcOGJD8TExNDdHR0gpenxC/KWaxYwvbixV1fCsET10hXfvvNGmB+770wcSJcuwb16sH8+bB3r7Vzc44c3q5SREQyKQ1Ud9G5c+ew2+2EhIQkaA8JCWHv3r1Jfua9995jxIgRqVZT+/bQpk3KFt/0xDW8yhj48Udr8Pnq1TfaW7WylkVo3Fh78omISJpQqEpFQ4YMYcCAAc730dHRhIaGevQevr4p3wLGE9dIc9evw6xZ1hpTO3ZYbdmyWQPRBw6EKlW8W5+IiGQ5ClUuKliwIL6+vpw+fTpB++nTpylcuHCSn/H398ff3z8tyss6Ll2CL76wBpkfO2a15coFL71k7bfj4dAqIiLiKo2pcpGfnx+1a9dmxYoVzjaHw8GKFSto0KCBFyvLIk6ftgaYlygBAwZYgSokBN57z/rz6NEKVCIi4lXqqXLDgAED6NKlC3Xq1KFevXqMGzeOK1eu0LVrV2+Xlnn9+Sd8+CF89RXExFht995rLdb57LMaeC4iIumGQpUbnnrqKc6ePcvQoUM5deoUNWrU4Mcff0w0eF08YONGa/D5ggU3dny+7z544w1o3Rp81MkqIiLpizZUTkOe2lA503I4YMkSK0ytWXOj/fHHrZl8jRppJp+IiKQ5V39/q6dKvC82FmbOtGby7dpltWXPbj3eGzgQKlXybn0iIiIuUKgS74mOhs8/t2bynThhteXODS+/bM3ku3VVUhERkXRMoUrSXkQEjB8Pn30GUVFWW5Ei1v58L70EefJ4tTwREZHkUKiStLNvn7X0wfTp1iM/gAoVrJl8nTuD1vQSEZEMTKFKUt+GDdbg84ULb8zka9TIGnz+2GOaySciIpmCQpWkDocDvv/eClPr1t1ob9PG6plq1Mh7tYmIiKQChSrxrJgY+OYbaybfnj1Wm58fPPecNZOvQgXv1iciIpJKFKrEM6KiYPJkGDcOTp602oKCoFcv6NsXihb1ankiIiKpTaFKUubkSfjoI5g40VoiAawA9dpr0LOnFaxERESyAIUqSZ49e6yZfDNmwPXrVlulStZ4qWeesR75iYiIZCEKVeKeX36xBp8vWnSjrXFjaybfo49qJp+IiGRZClVydw4HLF5shan16602mw3atrV6pho08Gp5IiIi6YFCldxeTIz1eG/0aGvhTrAe63XpAq+/DuXLe7c+ERGRdEShShKLjLQGnn/0EZw6ZbXlzXtjJl/hwt6sTkREJF1SqJIbjh+3lkSYPBkuXbLaiheHAQOgRw9rs2MRERFJkkKVwK5d1mKdX38NcXFWW5Uq1uDzp57STD4REREXKFRlVcbA2rXW4PPvv7/R3qSJFaZatrQGo4uIiIhLFKqyGrvd2th45EjYuNFqs9ngiSesmXz16nm3PhERkQxKoSqruHYNpk+3ZvLt32+1+ftD167WmKly5bxbn4iISAanUJXZXbwIn30G48fD6dNWW7580Ls39OkDISHerU9ERCSTUKjKrI4evTGT78oVq61ECatXqnt3yJXLq+WJiIhkNgpVmc2OHdZMvpkzb8zkq1bNGnzesSNkz+7d+kRERDIpharMwBj4+Wdr8PmSJTfamza1wlTz5prJJyIiksoUqjKDDh1g/nzrzz4+8OST1ky+OnW8W5eIiEgW4uPtAsQDGjeGHDnglVfgzz9h9mwFKhERkTSmnqrMoEcPeOYZCA72diUiIiJZlkJVZpAzp/USERERr9HjPxEREREPUKgSERER8QCFKhEREREPUKgSERER8QCFKhEREREPUKgSERER8QCFKhEREREPUKgSERER8QCFKhEREREPUKgSERER8QCFKhEREREPUKgSERER8QCFKhEREREPyObtArISYwwA0dHRXq5EREREXBX/ezv+9/jtKFSloUuXLgEQGhrq5UpERETEXZcuXSJPnjy3PW4zd4td4jEOh4OTJ0+SO3dubDabt8tJkejoaEJDQzl27BhBQUHeLsdr9D3oO4in78Gi70HfQbzM9D0YY7h06RJFixbFx+f2I6fUU5WGfHx8KF68uLfL8KigoKAM/38WT9D3oO8gnr4Hi74HfQfxMsv3cKceqngaqC4iIiLiAQpVIiIiIh6gUCXJ4u/vz7Bhw/D39/d2KV6l70HfQTx9DxZ9D/oO4mXF70ED1UVEREQ8QD1VIiIiIh6gUCUiIiLiAQpVIiIiIh6gUCUiIiLiAQpVkmKtW7emRIkS5MiRgyJFivDcc89x8uRJb5eVpg4fPkz37t0pXbo0AQEB3HPPPQwbNozY2Fhvl5am3nnnHRo2bEhgYCB58+b1djlp5pNPPqFUqVLkyJGD+vXrs2nTJm+XlObWrFnD448/TtGiRbHZbHz77bfeLinNvffee9StW5fcuXNTqFAh2rZty759+7xdVpr67LPPqFatmnPBzwYNGrBkyRJvl5VmFKokxR566CHmzJnDvn37mD9/PgcOHODJJ5/0dllpau/evTgcDiZNmsSuXbsYO3YsEydO5F//+pe3S0tTsbGxdOjQgV69enm7lDQze/ZsBgwYwLBhw/j999+pXr06LVq04MyZM94uLU1duXKF6tWr88knn3i7FK/5+eef6d27N7/++ivLly/n+vXrNG/enCtXrni7tDRTvHhx3n//fbZs2cLmzZtp2rQpbdq0YdeuXd4uLU1oSQXxuEWLFtG2bVtiYmLInj27t8vxmlGjRvHZZ59x8OBBb5eS5qZNm0b//v2JjIz0dimprn79+tStW5ePP/4YsPb4DA0N5dVXX+XNN9/0cnXeYbPZWLBgAW3btvV2KV519uxZChUqxM8//8wDDzzg7XK8Jn/+/IwaNYru3bt7u5RUp54q8agLFy7w9ddf07BhwywdqACioqLInz+/t8uQVBQbG8uWLVsICwtztvn4+BAWFsaGDRu8WJmkB1FRUQBZ9t8DdrudWbNmceXKFRo0aODtctKEQpV4xBtvvEHOnDkpUKAAR48eZeHChd4uyav++usvJkyYwEsvveTtUiQVnTt3DrvdTkhISIL2kJAQTp065aWqJD1wOBz079+fRo0aUaVKFW+Xk6Z27NhBrly58Pf35+WXX2bBggVUqlTJ22WlCYUqSdKbb76JzWa742vv3r3O8wcNGsQff/zBsmXL8PX15fnnnyczPFl293sAOHHiBC1btqRDhw68+OKLXqrcc5LzHYhkdb1792bnzp3MmjXL26WkufLly7N161Y2btxIr1696NKlC7t37/Z2WWlCY6okSWfPnuX8+fN3PKdMmTL4+fklaj9+/DihoaGsX78+w3f5uvs9nDx5kiZNmnDfffcxbdo0fHwy/n+3JOd/C1llTFVsbCyBgYHMmzcvwfihLl26EBkZmWV7bLP6mKo+ffqwcOFC1qxZQ+nSpb1djteFhYVxzz33MGnSJG+XkuqyebsASZ+Cg4MJDg5O1mcdDgcAMTExnizJK9z5Hk6cOMFDDz1E7dq1mTp1aqYIVJCy/y1kdn5+ftSuXZsVK1Y4A4TD4WDFihX06dPHu8VJmjPG8Oqrr7JgwQJWr16tQPUPh8ORKX4fuEKhSlJk48aN/Pbbb9x///3ky5ePAwcO8Pbbb3PPPfdk+F4qd5w4cYImTZpQsmRJRo8ezdmzZ53HChcu7MXK0tbRo0e5cOECR48exW63s3XrVgDKli1Lrly5vFtcKhkwYABdunShTp061KtXj3HjxnHlyhW6du3q7dLS1OXLl/nrr7+c7w8dOsTWrVvJnz8/JUqU8GJlaad379588803LFy4kNy5czvH1eXJk4eAgAAvV5c2hgwZwiOPPEKJEiW4dOkS33zzDatXr2bp0qXeLi1tGJEU2L59u3nooYdM/vz5jb+/vylVqpR5+eWXzfHjx71dWpqaOnWqAZJ8ZSVdunRJ8jtYtWqVt0tLVRMmTDAlSpQwfn5+pl69eubXX3/1dklpbtWqVUn+3Xfp0sXbpaWZ2/07YOrUqd4uLc1069bNlCxZ0vj5+Zng4GDTrFkzs2zZMm+XlWY0pkpERETEAzLHoA8RERERL1OoEhEREfEAhSoRERERD1CoEhEREfEAhSoRERERD1CoEhEREfEAhSoRERERD1CoEhGPWb16NTabLcPt+Wez2fj22289dr1SpUoxbtw4j10vrR0+fBibzeZcET+j/r2KpDWFKhFxic1mu+Nr+PDh3i7xroYPH06NGjUStUdERPDII4+kfUHpwAsvvJBo4+PQ0FAiIiKoUqWKd4oSyaC095+IuCQiIsL559mzZzN06FD27dvnbMuVKxebN2/2RmnExsbi5+eX7M9npf0ZXeHr66vvRCQZ1FMlIi4pXLiw85UnTx5sNluCtps3TN6yZQt16tQhMDCQhg0bJghfAAsXLqRWrVrkyJGDMmXKMGLECOLi4pzHjx49Sps2bciVKxdBQUF07NiR06dPO4/H9zh98cUXlC5dmhw5cgAQGRlJjx49CA4OJigoiKZNm7Jt2zYApk2bxogRI9i2bZuzd23atGlA4sd/x48fp1OnTuTPn5+cOXNSp04dNm7cCMCBAwdo06YNISEh5MqVi7p16/LTTz+59V3a7XYGDBhA3rx5KVCgAIMHD6ZLly4JeoySeoRYo0aNBD2CY8aMoWrVquTMmZPQ0FBeeeUVLl++7Dw+bdo08ubNy9KlS6lYsSK5cuWiZcuWzoA8fPhwvvrqKxYuXOj8TlavXp3o8V9S1q1bR+PGjQkICCA0NJS+ffty5coV5/FPP/2UcuXKkSNHDkJCQnjyySfd+o5EMiKFKhHxuLfeeosPP/yQzZs3ky1bNrp16+Y8tnbtWp5//nn69evH7t27mTRpEtOmTeOdd94BwOFw0KZNGy5cuMDPP//M8uXLOXjwIE899VSCe/z111/Mnz+f8PBw5y//Dh06cObMGZYsWcKWLVuoVasWzZo148KFCzz11FO8/vrrVK5cmYiICCIiIhJdE+Dy5cs8+OCDnDhxgkWLFrFt2zYGDx6Mw+FwHn/00UdZsWIFf/zxBy1btuTxxx/n6NGjLn8/H374IdOmTWPKlCmsW7eOCxcusGDBAne/Znx8fBg/fjy7du3iq6++YuXKlQwePDjBOX///TejR49mxowZrFmzhqNHjzJw4EAABg4cSMeOHZ1BKyIigoYNG971vgcOHKBly5Y88cQTbN++ndmzZ7Nu3Tr69OkDwObNm+nbty///ve/2bdvHz/++CMPPPCA2z+fSIbj7R2dRSTjmTp1qsmTJ0+i9lWrVhnA/PTTT86277//3gDm6tWrxhhjmjVrZt59990En5sxY4YpUqSIMcaYZcuWGV9fX3P06FHn8V27dhnAbNq0yRhjzLBhw0z27NnNmTNnnOesXbvWBAUFmWvXriW49j333GMmTZrk/Fz16tUT1Q2YBQsWGGOMmTRpksmdO7c5f/68i9+GMZUrVzYTJkxwvi9ZsqQZO3bsbc8vUqSIGTlypPP99evXTfHixU2bNm3ueI3q1aubYcOG3fa6c+fONQUKFHC+nzp1qgHMX3/95Wz75JNPTEhIiPN9ly5dEtzXGGMOHTpkAPPHH38YY278vV68eNEYY0z37t1Nz549E3xm7dq1xsfHx1y9etXMnz/fBAUFmejo6NvWKpIZaUyViHhctWrVnH8uUqQIAGfOnKFEiRJs27aNX375xdkzBdbjsGvXrvH333+zZ88eQkNDCQ0NdR6vVKkSefPmZc+ePdStWxeAkiVLEhwc7Dxn27ZtXL58mQIFCiSo5erVqxw4cMDl2rdu3UrNmjXJnz9/kscvX77M8OHD+f7774mIiCAuLo6rV6+63FMVFRVFREQE9evXd7Zly5aNOnXqYIxxuU6An376iffee4+9e/cSHR1NXFyc83sMDAwEIDAwkHvuucf5mSJFinDmzBm37nOrbdu2sX37dr7++mtnmzEGh8PBoUOHePjhhylZsiRlypShZcuWtGzZknbt2jlrEsmsFKpExOOyZ8/u/LPNZgNI8PhsxIgRtG/fPtHn4sdGuSJnzpwJ3l++fJkiRYqwevXqROfmzZvX5esGBATc8fjAgQNZvnw5o0ePpmzZsgQEBPDkk08SGxvr8j1c4ePjkyhkXb9+3fnnw4cP89hjj9GrVy/eeecd8ufPz7p16+jevTuxsbHOAHPz3wVYfx/uhrdbXb58mZdeeom+ffsmOlaiRAn8/Pz4/fffWb16NcuWLWPo0KEMHz6c3377za2/C5GMRqFKRNJUrVq12LdvH2XLlk3yeMWKFTl27BjHjh1z9lbt3r2byMhIKlWqdMfrnjp1imzZslGqVKkkz/Hz88Nut9+xvmrVqvHFF19w4cKFJHurfvnlF1544QXatWsHWAHj8OHDd7zmzfLkyUORIkXYuHGjc5xRXFyccwxYvODg4AQzLqOjozl06JDz/ZYtW3A4HHz44Yf4+FjDY+fMmeNyHfFc+U5uVatWLXbv3n3bv0Owet/CwsIICwtj2LBh5M2bl5UrVyYZpkUyCw1UF5E0NXToUKZPn86IESPYtWsXe/bsYdasWfzf//0fAGFhYVStWpXOnTvz+++/s2nTJp5//nkefPBB6tSpc9vrhoWF0aBBA9q2bcuyZcs4fPgw69ev56233nIu9VCqVCkOHTrE1q1bOXfuHDExMYmu06lTJwoXLkzbtm355ZdfOHjwIPPnz2fDhg0AlCtXzjk4ftu2bTzzzDPOXjhX9evXj/fff59vv/2WvXv38sorryRaWLNp06bMmDGDtWvXsmPHDrp06YKvr6/zeNmyZbl+/ToTJkzg4MGDzJgxg4kTJ7pVR/x3sn37dvbt28e5c+cS9IbdzhtvvMH69evp06cPW7duZf/+/SxcuNA5UP27775j/PjxbN26lSNHjjB9+nQcDgfly5d3uz6RjEShSkTSVIsWLfjuu+9YtmwZdevW5b777mPs2LGULFkSsB5PLVy4kHz58vHAAw8QFhZGmTJlmD179h2va7PZ+OGHH3jggQfo2rUr9957L08//TRHjhwhJCQEgCeeeIKWLVvy0EMPERwczMyZMxNdx8/Pj2XLllGoUCEeffRRqlatyvvvv+8MNGPGjCFfvnw0bNiQxx9/nBYtWiToYXLF66+/znPPPUeXLl1o0KABuXPndvZ8xRsyZAgPPvggjz32GK1ataJt27YJxkZVr16dMWPG8MEHH1ClShW+/vpr3nvvPbfqAHjxxRcpX748derUITg4mF9++eWun6lWrRo///wzf/75J40bN6ZmzZoMHTqUokWLAtbj1vDwcJo2bUrFihWZOHEiM2fOpHLlym7XJ5KR2ExKH66LiEiKvfDCC0RGRnp0uxwRSVvqqRIRERHxAIUqEREREQ/Q4z8RERERD1BPlYiIiIgHKFSJiIiIeIBClYiIiIgHKFSJiIiIeIBClYiIiIgHKFSJiIiIeIBClYiIiIgHKFSJiIiIeIBClYiIiIgH/D/K8+SD5QCjCQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>distr</th>\n",
       "      <th>score</th>\n",
       "      <th>LLE</th>\n",
       "      <th>loc</th>\n",
       "      <th>scale</th>\n",
       "      <th>arg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>norm</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.01805</td>\n",
       "      <td>0.408878</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dweibull</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.005812</td>\n",
       "      <td>0.336248</td>\n",
       "      <td>(1.219910644611828,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>t</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.014505</td>\n",
       "      <td>0.363196</td>\n",
       "      <td>(9.42236265264598,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>genextreme</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.866643</td>\n",
       "      <td>0.421279</td>\n",
       "      <td>(0.24253393044211607,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gamma</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-23.749166</td>\n",
       "      <td>0.004679</td>\n",
       "      <td>(7644.748816733736,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>lognorm</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-35.824169</td>\n",
       "      <td>47.841134</td>\n",
       "      <td>(0.008553859237725786,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>beta</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-632.675349</td>\n",
       "      <td>780.972352</td>\n",
       "      <td>(433837.58758507064, 91707.04662144263)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>loggamma</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-68.017806</td>\n",
       "      <td>11.886516</td>\n",
       "      <td>(840.4341407046395,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>expon</td>\n",
       "      <td>3.228419</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.456341</td>\n",
       "      <td>2.561709</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pareto</td>\n",
       "      <td>3.228419</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-268435446.543659</td>\n",
       "      <td>268435456.0</td>\n",
       "      <td>(104787648.62489794,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>uniform</td>\n",
       "      <td>5.070877</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.456341</td>\n",
       "      <td>4.078132</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>distr</th>\n",
       "      <th>score</th>\n",
       "      <th>LLE</th>\n",
       "      <th>loc</th>\n",
       "      <th>scale</th>\n",
       "      <th>arg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>dweibull</td>\n",
       "      <td>0.001945</td>\n",
       "      <td>NaN</td>\n",
       "      <td>405.20807</td>\n",
       "      <td>69.255291</td>\n",
       "      <td>(1.1677345039545033,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>t</td>\n",
       "      <td>0.001945</td>\n",
       "      <td>NaN</td>\n",
       "      <td>418.498789</td>\n",
       "      <td>81.456589</td>\n",
       "      <td>(11.601301880385446,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>loggamma</td>\n",
       "      <td>0.038582</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-24166.232741</td>\n",
       "      <td>3383.956465</td>\n",
       "      <td>(1428.6893628119196,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>norm</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>415.709934</td>\n",
       "      <td>86.891031</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>genextreme</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>379.363296</td>\n",
       "      <td>75.409387</td>\n",
       "      <td>(0.09352457220590016,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>lognorm</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-43.359242</td>\n",
       "      <td>451.272182</td>\n",
       "      <td>(0.18427632510367703,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>beta</td>\n",
       "      <td>0.148617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.626869</td>\n",
       "      <td>984.728017</td>\n",
       "      <td>(8.23988419402217, 17.357117900875885)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>gamma</td>\n",
       "      <td>0.322892</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.176375</td>\n",
       "      <td>19.260999</td>\n",
       "      <td>(19.497097080445023,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>expon</td>\n",
       "      <td>1.828622</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.088461</td>\n",
       "      <td>302.621473</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pareto</td>\n",
       "      <td>1.828622</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-34359738254.911537</td>\n",
       "      <td>34359738367.999996</td>\n",
       "      <td>(113540319.58611798,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>uniform</td>\n",
       "      <td>5.070877</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.088461</td>\n",
       "      <td>755.818899</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>distr</th>\n",
       "      <th>score</th>\n",
       "      <th>LLE</th>\n",
       "      <th>loc</th>\n",
       "      <th>scale</th>\n",
       "      <th>arg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>dweibull</td>\n",
       "      <td>0.001945</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.706473</td>\n",
       "      <td>6.191738</td>\n",
       "      <td>(1.1920708664835395,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>t</td>\n",
       "      <td>0.001945</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.510049</td>\n",
       "      <td>7.599387</td>\n",
       "      <td>(18.852075972059453,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>norm</td>\n",
       "      <td>0.038582</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.440753</td>\n",
       "      <td>7.631849</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>genextreme</td>\n",
       "      <td>0.038582</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.363939</td>\n",
       "      <td>7.064489</td>\n",
       "      <td>(0.14602020473531907,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gamma</td>\n",
       "      <td>0.038582</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.340588</td>\n",
       "      <td>1.163854</td>\n",
       "      <td>(42.18755078064983,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>lognorm</td>\n",
       "      <td>0.038582</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-6.868894</td>\n",
       "      <td>61.853467</td>\n",
       "      <td>(0.12098192337797896,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>beta</td>\n",
       "      <td>0.038582</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.657159</td>\n",
       "      <td>3579638.227474</td>\n",
       "      <td>(34.516173961443116, 2758389.246941475)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>loggamma</td>\n",
       "      <td>0.038582</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2230.511067</td>\n",
       "      <td>310.39647</td>\n",
       "      <td>(1579.6357118493142,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>expon</td>\n",
       "      <td>2.250696</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.385439</td>\n",
       "      <td>32.055314</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pareto</td>\n",
       "      <td>2.250696</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2147483624.614561</td>\n",
       "      <td>2147483648.0</td>\n",
       "      <td>(66993063.6132045,)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>uniform</td>\n",
       "      <td>5.070877</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.385439</td>\n",
       "      <td>67.672046</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution fitting of target variable\n",
    "# Check best fitted distribution to logarithm of target variable (variable is continuous so we suspect that logarithm\n",
    "# will allow to smooth the effect of outliers, hence will be more similar to normal distribution)\n",
    "\n",
    "for data_in, name in zip([y_train_valid, np.log(y_train_valid), np.sqrt(y_train_valid), y_train_valid**(1/3)],\n",
    "                         [target,'Logarithm of ' + target,'Square Root of ' + target, 'Cubic Root of ' + target]):\n",
    "    dist = distfit.distfit(bins=25,alpha=0.01,stats='ks')\n",
    "    dist.fit_transform(data_in,verbose=1)\n",
    "    dist.plot(verbose=1)\n",
    "    plt.title(str(name) + ' distribution')\n",
    "    plt.show()\n",
    "\n",
    "    display(HTML(dist.summary.to_html()))\n",
    "\n",
    "    stats.probplot(data_in, dist=\"norm\", plot=pylab)\n",
    "    pylab.title(str(name) + ' qq plot')\n",
    "    pylab.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on plot analysis we can see that logarithm of Sale Price is most similar to normal distribution. Having said that qqplot suggest heavy tails, so we should treat our sample for outliers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    2340.000000\n",
      "mean       12.018050\n",
      "std         0.408965\n",
      "min         9.456341\n",
      "25%        11.767568\n",
      "50%        11.982304\n",
      "75%        12.271357\n",
      "max        13.534473\n",
      "Name: SalePrice, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    2340.000000\n",
      "mean       12.019127\n",
      "std         0.403794\n",
      "min        10.596635\n",
      "25%        11.767568\n",
      "50%        11.982304\n",
      "75%        12.271357\n",
      "max        13.521139\n",
      "Name: SalePrice_logWinsorized, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "#MANUAL_INPUT\n",
    "# Winsorizing target variable to limit outlier values impact\n",
    "y2_train_valid = pd.Series(mstats.winsorize(np.log(y_train_valid), limits=[0.0025, 0.0008]), name = 'SalePrice_logWinsorized')\n",
    "\n",
    "stats.probplot(np.log(y_train_valid), dist=\"norm\", plot=pylab)\n",
    "pylab.title('Logarithm of ' + target + ' qq plot')\n",
    "pylab.show()\n",
    "print(np.log(y_train_valid).describe())\n",
    "\n",
    "stats.probplot(y2_train_valid, dist=\"norm\", plot=pylab)\n",
    "pylab.title(y2_train_valid.name + ' qq plot')\n",
    "pylab.show()\n",
    "print(y2_train_valid.describe())"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "QQ-plot characteristics seems to improve slightly after winsorizing target variable. We will try to estimate our model on both versions of target variables and see which performs better."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.6 Feature Engineering - based on sample characteristics\n",
    "\n",
    "#### 4.6.1 Binning and Weight of Evidence transformation (WoE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "float64 float64\n",
      "MS SubClass - IV weak predictive power -  0.03896243692507361\n",
      "float64 float64\n",
      "MS Zoning - IV weak predictive power -  0.024664788782739575\n",
      "float64 float64\n",
      "Lot Shape - IV not useful for prediction -  0.01769559438613844\n",
      "Land Contour - IV not useful for prediction -  0.0021415431469726455\n",
      "float64 float64\n",
      "Lot Config - IV not useful for prediction -  0.0010055435902356438\n",
      "float64 float64\n",
      "Neighborhood - IV medium predictive power -  0.10008035502736255\n",
      "float64 float64\n",
      "Condition 1 - IV not useful for prediction -  0.00601839712526384\n",
      "float64 float64\n",
      "Condition 2 - IV not useful for prediction -  4.497382514205542e-06\n",
      "Bldg Type - IV not useful for prediction -  0.007539365497111681\n",
      "float64 float64\n",
      "House Style - IV not useful for prediction -  0.010908074808971067\n",
      "float64 float64\n",
      "Roof Style - IV not useful for prediction -  0.000131001183335396\n",
      "float64 float64\n",
      "Roof Matl - IV not useful for prediction -  0.0013941058899317848\n",
      "float64 float64\n",
      "Exterior 1st - IV weak predictive power -  0.030473850233369418\n",
      "float64 float64\n",
      "Exterior 2nd - IV weak predictive power -  0.028680136105598227\n",
      "float64 float64\n",
      "Mas Vnr Type - IV weak predictive power -  0.030957364422034155\n",
      "float64 float64\n",
      "Foundation - IV not useful for prediction -  0.014983223383665019\n",
      "Bsmt Exposure - IV weak predictive power -  0.02774044551737222\n",
      "BsmtFin Type 1 - IV weak predictive power -  0.026638262484965022\n",
      "BsmtFin Type 2 - IV not useful for prediction -  0.005457582972202063\n",
      "float64 float64\n",
      "Electrical - IV not useful for prediction -  0.0008256055243203612\n",
      "float64 float64\n",
      "Functional - IV not useful for prediction -  0.0018987702609063013\n",
      "float64 float64\n",
      "Garage Type - IV weak predictive power -  0.05014397874160027\n",
      "Garage Finish - IV weak predictive power -  0.057500613342619245\n",
      "Paved Drive - IV not useful for prediction -  0.0\n",
      "float64 float64\n",
      "Sale Type - IV not useful for prediction -  0.004049792489983095\n",
      "float64 float64\n",
      "Sale Condition - IV not useful for prediction -  0.005571366462364647\n"
     ]
    }
   ],
   "source": [
    "# Create optimal bins for Weight of Evidence Feature Engineering for categorical variables\n",
    "data_optbin = gp23feat.FeatureBinning(X_df = X_train_valid, y = y_train_valid, var_list = categorical)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# WoE transformation for categorical variables\n",
    "for i in categorical :\n",
    "    X_train_valid[\"WOE_\"+i] = data_optbin.transform(data = X_train_valid, var_name = i)\n",
    "    try:\n",
    "        features.remove(i)\n",
    "    except:\n",
    "        print(i,'is already removed from features list.') \n",
    "    # For some reason this keeps adding WOE_ vars in loop :( not sure why)\n",
    "    if \"WOE\"+i not in X_train_valid:\n",
    "        try:\n",
    "            features.append(\"WOE_\"+i)\n",
    "        except:\n",
    "            print(\"WOE_\"+i,'is already in features list.')      \n",
    "    else:\n",
    "        print(\"WOE_\"+i,'is already in features list.') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                      Bin       WoE\n",
      "0               [Missing] -0.529127\n",
      "1       [Detchd, Basment] -0.311368\n",
      "2       [Attchd, BuiltIn]  0.142229\n",
      "3       [2Types, CarPort] -0.274447\n",
      "4                 Special  0.000000\n",
      "5                 Missing  0.000000\n",
      "Totals                     0.000000\n",
      "      WOE_Garage Type Garage Type\n",
      "2597        -0.311368      Detchd\n",
      "2827        -0.311368     Basment\n",
      "2065         0.142229      Attchd\n",
      "2627        -0.529127     Missing\n",
      "1078         0.142229     BuiltIn\n",
      "2865        -0.274447      2Types\n",
      "2878        -0.274447     CarPort\n"
     ]
    }
   ],
   "source": [
    "# CHECK WoE Transformation check \n",
    "print(data_optbin.optbin_dict[\"Garage Type\"][\"bin_table\"][[\"Bin\", \"WoE\"]])\n",
    "print(X_train_valid[[\"WOE_Garage Type\",\"Garage Type\"]].drop_duplicates(subset=[\"WOE_Garage Type\",\"Garage Type\"], keep='first'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mas Vnr Area Box-Cox transformation Lambda value - -0.26662733900847935\n",
      "BsmtFin SF 2 Box-Cox transformation Lambda value - -1.4879279193933392\n",
      "Bsmt Unf SF Box-Cox transformation Lambda value - 0.4629343189884083\n",
      "2nd Flr SF Box-Cox transformation Lambda value - -0.14000078136026167\n",
      "Garage Area Box-Cox transformation Lambda value - 0.8025600006565056\n",
      "years_until_remod Box-Cox transformation Lambda value - -0.5993532313445746\n",
      "years_remod_to_sale Box-Cox transformation Lambda value - 0.3040364775122282\n",
      "years_built_to_sale Box-Cox transformation Lambda value - 0.39634250671937665\n",
      "Floor_area_ratio Box-Cox transformation Lambda value - -3.60052797770665\n"
     ]
    }
   ],
   "source": [
    "# Box-Cox power transformation for continuous variables\n",
    "boxCox_dict = {}\n",
    "\n",
    "for i in continuous :\n",
    "    X_train_valid[\"Box_\"+i] = gp23feat.boxcox_transformation(data = X_train_valid,\n",
    "                                                            var_name = i, \n",
    "                                                            transformation_dict = boxCox_dict)\n",
    "    try:\n",
    "        features.append(\"Box_\"+i)\n",
    "    except:\n",
    "        print(\"Box_\"+i,'is already in features list.')     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Box_Bsmt Unf SF  Bsmt Unf SF\n",
      "2597        52.495700       1073.0\n",
      "1325         0.000000          0.0\n",
      "2656        45.501524        798.0\n",
      "721          7.773498         26.0\n",
      "88          31.709178        381.0\n",
      "...               ...          ...\n",
      "1312        43.838661        739.0\n",
      "43          61.951293       1515.0\n",
      "267         64.515072       1649.0\n",
      "713         42.012573        677.0\n",
      "2179        17.958448        123.0\n",
      "\n",
      "[1034 rows x 2 columns]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'Mas Vnr Area': -0.26662733900847935,\n",
       " 'BsmtFin SF 2': -1.4879279193933392,\n",
       " 'Bsmt Unf SF': 0.4629343189884083,\n",
       " '2nd Flr SF': -0.14000078136026167,\n",
       " 'Garage Area': 0.8025600006565056,\n",
       " 'years_until_remod': -0.5993532313445746,\n",
       " 'years_remod_to_sale': 0.3040364775122282,\n",
       " 'years_built_to_sale': 0.39634250671937665,\n",
       " 'Floor_area_ratio': -3.60052797770665}"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# CHECK Box-Cox power transformation\n",
    "print(X_train_valid[[\"Box_Bsmt Unf SF\",\"Bsmt Unf SF\"]].drop_duplicates(subset=[\"Box_Bsmt Unf SF\",\"Bsmt Unf SF\"], keep='first'))\n",
    "# CHECK saved dict\n",
    "boxCox_dict"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Model Feature Selection\n",
    "\n",
    "#### 5.1 Preparing feature sets "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Normalizing explanatory variables using MinMax Scaler\n",
    "train_scaler = MinMaxScaler()\n",
    "X_train_valid[features] = train_scaler.fit_transform(X_train_valid[features])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Garage Cars_NA', 'Garage Area_NA', 'WOE_Paved Drive']\n"
     ]
    }
   ],
   "source": [
    "# Removing low variance features (possibly new ones after transformations)\n",
    "features_lowVariance = list(X_train_valid[features].std()[X_train_valid[features].std() < low_variance_treshold].index)\n",
    "print(features_lowVariance)\n",
    "features=list(set(features)-set(features_lowVariance))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WoE vars -  25\n",
      "Box-Cox transformation vars -  9\n"
     ]
    }
   ],
   "source": [
    "# Creating WoE and Box-Cox power transformation features list\n",
    "WOE_features = [idx for idx in features if idx[:3] == \"WOE\"]\n",
    "print('WoE vars - ',len(WOE_features))\n",
    "Box_features = [idx for idx in features if idx[:3] == \"Box\"]\n",
    "print('Box-Cox transformation vars - ',len(Box_features))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Features raw all -  66\n",
      "Features engineered -  65\n"
     ]
    }
   ],
   "source": [
    "# Creating raw features (features_raw) without categorical variables, raw features\n",
    "# with categorical (features_raw_all) and transformed features (features_engineered)\n",
    "features_raw = [x for x in features if x not in (WOE_features + Box_features)]\n",
    "features_set1 = features_raw\n",
    "features_set1 += [x for x in discrete if x not in features_raw]\n",
    "features_raw_all = features_set1 + categorical \n",
    "print('Features raw all - ',len(features_raw_all))\n",
    "features_engineered = WOE_features + Box_features + discrete\n",
    "print('Features engineered - ',len(features_engineered))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5.2 Finding number of optimal explanatory variables\n",
    "Trade-off between accuracy and stability of prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 29 candidates, totalling 145 fits\n",
      "   param_n_features_to_select  mean_train_score  mean_test_score\n",
      "22                         23          0.827940         0.821392\n",
      "23                         24          0.827980         0.821107\n",
      "20                         21          0.827116         0.821026\n",
      "21                         22          0.827527         0.820956\n",
      "24                         25          0.828266         0.820843\n",
      "26                         27          0.828323         0.820842\n",
      "25                         26          0.828293         0.820705\n",
      "28                         29          0.828256         0.820633\n",
      "27                         28          0.828256         0.820633\n",
      "19                         20          0.826413         0.820090\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Estimating optimal number of features using k-fold linear regression\n",
    "gp23hyperparam.kfold_nFeaturesSelector(data_in = X_train_valid, \n",
    "                                       features_in = features_raw,\n",
    "                                       target = y_train_valid,\n",
    "                                       random_state = seed,\n",
    "                                       max_features = 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 29 candidates, totalling 145 fits\n",
      "   param_n_features_to_select  mean_train_score  mean_test_score\n",
      "27                         28          0.886948         0.878806\n",
      "26                         27          0.886330         0.878703\n",
      "25                         26          0.886119         0.878593\n",
      "28                         29          0.887139         0.878510\n",
      "24                         25          0.885778         0.877899\n",
      "23                         24          0.885157         0.877096\n",
      "21                         22          0.884615         0.876062\n",
      "22                         23          0.884788         0.875990\n",
      "20                         21          0.883320         0.874910\n",
      "19                         20          0.882319         0.873912\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gp23hyperparam.kfold_nFeaturesSelector(data_in = X_train_valid,\n",
    "                                      features_in = features_engineered,\n",
    "                                      target = y2_train_valid,\n",
    "                                      random_state = seed,\n",
    "                                      max_features=30)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have chosen subjectively 20 as subjectively max variables for predicting price. Based on plots information we can see as follows:  \n",
    "1) Overall better average performance is achieved for features_engineered subset of variables (i.e. Box-Cox & WoE transformations improved potential prediction capabilities by)   & transformed target variable (winsorized logarithm of sale price)\n",
    "2) Subjective number of optimal variables - 20. This is due to trade-off between number of variables chosen and R^2 scoring metric (Best score has circa 0,003 better R^2 metric, however uses 10 variables more which will increase risk of model decay in time and decrease model longevity).\n",
    "3) For 20 variables we can see around 0.05 R^2 increase between engineered variables + transformed target variable vs raw data "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5.3 Selecting best N variables using different methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done in 913.119s\n",
      "ie. done in 15.219min\n"
     ]
    }
   ],
   "source": [
    "# Declare empty dictionary for storing variable lists\n",
    "var_dict=dict()\n",
    "tic = time() #starting timer - this is a time consuming function\n",
    "\n",
    "# Selecting variables subsets\n",
    "gp23hyperparam.varSelect_fwdBckw(data_in = X_train_valid, features_in = features_engineered, target = y2_train_valid, \n",
    "                 n_features_space = [10,14,16,20], variable_dictionary = var_dict)\n",
    "toc = time()\n",
    "var_dict\n",
    "\n",
    "print(f\"Done in {toc - tic:.3f}s\")\n",
    "print(f\"ie. done in {(toc - tic)/60.0:.3f}min\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6 Model selection\n",
    "#### 6.1 Models types and hyperparameter space setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MANUAL_INPUT\n",
    "\n",
    "# Lookup for parameters if needed\n",
    "# print('Linear regression parameters:',LinearRegression().get_params().keys())\n",
    "# print('Ridge regression parameters:',Ridge().get_params().keys())\n",
    "# print('Elastic Net regression parameters:',ElasticNet().get_params().keys())\n",
    "# print('Lasso regression parameters:',Lasso().get_params().keys())\n",
    "\n",
    "models1 = {\n",
    "    'LinearRegression': LinearRegression(),\n",
    "    'RidgeRegression': Ridge(),\n",
    "    'LassoRegression': Lasso(),\n",
    "    'ElasticNet': ElasticNet(),\n",
    "    'TheilRegression' :  TheilSenRegressor(),\n",
    "    'RANSACRegression' : RANSACRegressor(),\n",
    "    'HuberRegressor' : HuberRegressor(),\n",
    "    'SGDRegressor' : SGDRegressor(),\n",
    "    'Lars' : Lars()\n",
    "}\n",
    "\n",
    "params1 = {\n",
    "    'LinearRegression': { 'fit_intercept': [True]},\n",
    "    'RidgeRegression': { 'fit_intercept': [True],\n",
    "                       'solver': ['auto', 'svd', 'cholesky', 'lsqr', 'sparse_cg', 'sag', 'saga', 'lbfgs'],\n",
    "                       'alpha': [0.000001, 0.00001, 0.0001, 0.001, 0.01, 0.5, 1.0, 1.5, 2.0]\n",
    "                       },\n",
    "    'LassoRegression': {'fit_intercept': [True],\n",
    "                        'max_iter' : [1000, 2000, 5000, 10000, 20000, 40000],\n",
    "                        'warm_start' : [True, False],\n",
    "                        'selection' : ['cyclic', 'random'],\n",
    "                        'alpha': [0.000001, 0.00001, 0.0001, 0.001, 0.01, 0.5, 1.0, 1.5, 2.0]\n",
    "                       },\n",
    "    'ElasticNet': { 'fit_intercept': [True],\n",
    "                   'max_iter' : [1000, 2000, 5000],\n",
    "                   'selection' : ['cyclic', 'random'],\n",
    "                   'alpha': [0.000001, 0.00001, 0.0001, 0.001, 0.01, 0.5],\n",
    "                   'l1_ratio': [0, 0.000001, 0.00001, 0.0001, 0.001, 0.01, 0.5, 1.0],\n",
    "                  'random_state': [seed]\n",
    "                  },\n",
    "    'TheilRegression' :  { 'max_iter' : [100, 300, 500, 1000, 5000],\n",
    "                            'tol' : [0.00001, 0.0001, 0.001, 0.01, 0.1, 0.5, 0.9],\n",
    "                             'random_state' : [seed]\n",
    "                         },\n",
    "    'RANSACRegression' : {'max_trials' : [100, 300, 500, 1000, 5000],\n",
    "                          'random_state': [seed]\n",
    "                         },\n",
    "    'HuberRegressor' : { 'epsilon' : [1.0, 2.5, 5.0], \n",
    "                        'max_iter' : [100, 300, 500, 1000], \n",
    "                        'alpha' : [0.0001, 0.001, 0.01, 0.5, 1.0, 2.0],\n",
    "                        'warm_start' : [False, True]\n",
    "                       },\n",
    "    'SGDRegressor' : { 'loss' : ['squared_error', 'huber', 'epsilon_insensitive', 'squared_epsilon_insensitive'],\n",
    "                      'penalty' : ['l2', 'l1', 'elasticnet', None],\n",
    "                      'l1_ratio': [0, 0.000001, 0.00001, 1],\n",
    "                      'alpha' : [0.0000001, 0.000001, 0.00001],\n",
    "                      'max_iter' : [1000],\n",
    "                      'epsilon' : [0.0000001, 0.000001, 0.001],\n",
    "                      'random_state': [seed],\n",
    "                      'learning_rate': ['optimal', 'invscaling', 'adaptive'],\n",
    "                      'warm_start' : [False]\n",
    "                     },\n",
    "    'Lars' : { 'jitter': [0.001, 0.01, 0.1, 0.5, 1, None],\n",
    "              'random_state': [seed],\n",
    "              'n_nonzero_coefs' : [500, np.inf]\n",
    "             }\n",
    "}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 6.2 Model fit on train/valid subset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** variable set SFM_10 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set FWD_10 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set BKWD_10 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set SFM_14 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set FWD_14 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set BKWD_14 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set SFM_16 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set FWD_16 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set BKWD_16 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set SFM_20 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set FWD_20 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "*** variable set BKWD_20 ***\n",
      "Running GridSearchCV for LinearRegression.\n",
      "Fitting 3 folds for each of 1 candidates, totalling 3 fits\n",
      "Running GridSearchCV for RidgeRegression.\n",
      "Fitting 3 folds for each of 72 candidates, totalling 216 fits\n",
      "Running GridSearchCV for LassoRegression.\n",
      "Fitting 3 folds for each of 216 candidates, totalling 648 fits\n",
      "Running GridSearchCV for ElasticNet.\n",
      "Fitting 3 folds for each of 288 candidates, totalling 864 fits\n",
      "Running GridSearchCV for TheilRegression.\n",
      "Fitting 3 folds for each of 35 candidates, totalling 105 fits\n",
      "Running GridSearchCV for RANSACRegression.\n",
      "Fitting 3 folds for each of 5 candidates, totalling 15 fits\n",
      "Running GridSearchCV for HuberRegressor.\n",
      "Fitting 3 folds for each of 144 candidates, totalling 432 fits\n",
      "Running GridSearchCV for SGDRegressor.\n",
      "Fitting 3 folds for each of 1728 candidates, totalling 5184 fits\n",
      "Running GridSearchCV for Lars.\n",
      "Fitting 3 folds for each of 12 candidates, totalling 36 fits\n",
      "LinearRegression\n",
      "RidgeRegression\n",
      "LassoRegression\n",
      "ElasticNet\n",
      "TheilRegression\n",
      "RANSACRegression\n",
      "HuberRegressor\n",
      "SGDRegressor\n",
      "Lars\n",
      "Done in 1034.353s\n",
      "ie. done in 17.239min\n"
     ]
    }
   ],
   "source": [
    "# Specify subsets of variables that you want to try out\n",
    "\n",
    "summary_modelsScores = pd.DataFrame()\n",
    "tic = time() #starting timer - this is a time consuming function\n",
    "# Invoke function testing different model parameters\n",
    "for variables in var_dict: # Iterating through different variable sets\n",
    "    print('*** variable set', str(variables),'***')\n",
    "    helper1 = gp23train.EstimatorSelectionHelper(models1, params1) # Iterating through models and parameters hyperspace\n",
    "    helper1.fit(X_train_valid[var_dict[variables]], y2_train_valid, scoring='r2', n_jobs=4)\n",
    "    add = helper1.score_summary(sort_by='mean_score')    \n",
    "    add[\"variable_set\"] = str(variables)\n",
    "    summary_modelsScores = pd.concat([summary_modelsScores, add], ignore_index = True)\n",
    "    \n",
    "toc = time()\n",
    "print(f\"Done in {toc - tic:.3f}s\")\n",
    "print(f\"ie. done in {(toc - tic)/60.0:.3f}min\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>estimator</th>\n",
       "      <th>min_score</th>\n",
       "      <th>mean_score</th>\n",
       "      <th>max_score</th>\n",
       "      <th>std_score</th>\n",
       "      <th>fit_intercept</th>\n",
       "      <th>alpha</th>\n",
       "      <th>solver</th>\n",
       "      <th>max_iter</th>\n",
       "      <th>selection</th>\n",
       "      <th>warm_start</th>\n",
       "      <th>l1_ratio</th>\n",
       "      <th>random_state</th>\n",
       "      <th>tol</th>\n",
       "      <th>max_trials</th>\n",
       "      <th>epsilon</th>\n",
       "      <th>learning_rate</th>\n",
       "      <th>loss</th>\n",
       "      <th>penalty</th>\n",
       "      <th>jitter</th>\n",
       "      <th>n_nonzero_coefs</th>\n",
       "      <th>variable_set</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>27511</th>\n",
       "      <td>HuberRegressor</td>\n",
       "      <td>0.870118</td>\n",
       "      <td>0.881675</td>\n",
       "      <td>0.887661</td>\n",
       "      <td>0.008174</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
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       "      <th>27512</th>\n",
       "      <td>HuberRegressor</td>\n",
       "      <td>0.870118</td>\n",
       "      <td>0.881675</td>\n",
       "      <td>0.887661</td>\n",
       "      <td>0.008174</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
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       "    <tr>\n",
       "      <th>27607</th>\n",
       "      <td>RidgeRegression</td>\n",
       "      <td>0.870616</td>\n",
       "      <td>0.881529</td>\n",
       "      <td>0.887316</td>\n",
       "      <td>0.007721</td>\n",
       "      <td>True</td>\n",
       "      <td>0.01</td>\n",
       "      <td>lsqr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27618</th>\n",
       "      <td>ElasticNet</td>\n",
       "      <td>0.870623</td>\n",
       "      <td>0.88152</td>\n",
       "      <td>0.887298</td>\n",
       "      <td>0.00771</td>\n",
       "      <td>True</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2000</td>\n",
       "      <td>cyclic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27619</th>\n",
       "      <td>ElasticNet</td>\n",
       "      <td>0.870623</td>\n",
       "      <td>0.88152</td>\n",
       "      <td>0.887298</td>\n",
       "      <td>0.00771</td>\n",
       "      <td>True</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000</td>\n",
       "      <td>cyclic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27620</th>\n",
       "      <td>ElasticNet</td>\n",
       "      <td>0.870623</td>\n",
       "      <td>0.88152</td>\n",
       "      <td>0.887298</td>\n",
       "      <td>0.00771</td>\n",
       "      <td>True</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000</td>\n",
       "      <td>random</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27621</th>\n",
       "      <td>ElasticNet</td>\n",
       "      <td>0.870623</td>\n",
       "      <td>0.88152</td>\n",
       "      <td>0.887298</td>\n",
       "      <td>0.00771</td>\n",
       "      <td>True</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2000</td>\n",
       "      <td>random</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27705</th>\n",
       "      <td>Lars</td>\n",
       "      <td>0.87062</td>\n",
       "      <td>0.88152</td>\n",
       "      <td>0.887304</td>\n",
       "      <td>0.007712</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>500</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27706</th>\n",
       "      <td>LinearRegression</td>\n",
       "      <td>0.87062</td>\n",
       "      <td>0.88152</td>\n",
       "      <td>0.887304</td>\n",
       "      <td>0.007712</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27707</th>\n",
       "      <td>Lars</td>\n",
       "      <td>0.87062</td>\n",
       "      <td>0.88152</td>\n",
       "      <td>0.887304</td>\n",
       "      <td>0.007712</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>inf</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27744</th>\n",
       "      <td>LassoRegression</td>\n",
       "      <td>0.870621</td>\n",
       "      <td>0.88152</td>\n",
       "      <td>0.887303</td>\n",
       "      <td>0.007711</td>\n",
       "      <td>True</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10000</td>\n",
       "      <td>random</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25010</th>\n",
       "      <td>HuberRegressor</td>\n",
       "      <td>0.869893</td>\n",
       "      <td>0.881187</td>\n",
       "      <td>0.888925</td>\n",
       "      <td>0.008167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25011</th>\n",
       "      <td>HuberRegressor</td>\n",
       "      <td>0.869893</td>\n",
       "      <td>0.881187</td>\n",
       "      <td>0.888925</td>\n",
       "      <td>0.008167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27924</th>\n",
       "      <td>SGDRegressor</td>\n",
       "      <td>0.869849</td>\n",
       "      <td>0.881011</td>\n",
       "      <td>0.886861</td>\n",
       "      <td>0.007896</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>12345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001</td>\n",
       "      <td>adaptive</td>\n",
       "      <td>epsilon_insensitive</td>\n",
       "      <td>elasticnet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27923</th>\n",
       "      <td>SGDRegressor</td>\n",
       "      <td>0.869849</td>\n",
       "      <td>0.881011</td>\n",
       "      <td>0.886861</td>\n",
       "      <td>0.007896</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>12345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001</td>\n",
       "      <td>adaptive</td>\n",
       "      <td>epsilon_insensitive</td>\n",
       "      <td>l2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              estimator min_score mean_score max_score std_score  \\\n",
       "27511    HuberRegressor  0.870118   0.881675  0.887661  0.008174   \n",
       "27512    HuberRegressor  0.870118   0.881675  0.887661  0.008174   \n",
       "27607   RidgeRegression  0.870616   0.881529  0.887316  0.007721   \n",
       "27618        ElasticNet  0.870623    0.88152  0.887298   0.00771   \n",
       "27619        ElasticNet  0.870623    0.88152  0.887298   0.00771   \n",
       "27620        ElasticNet  0.870623    0.88152  0.887298   0.00771   \n",
       "27621        ElasticNet  0.870623    0.88152  0.887298   0.00771   \n",
       "27705              Lars   0.87062    0.88152  0.887304  0.007712   \n",
       "27706  LinearRegression   0.87062    0.88152  0.887304  0.007712   \n",
       "27707              Lars   0.87062    0.88152  0.887304  0.007712   \n",
       "27744   LassoRegression  0.870621    0.88152  0.887303  0.007711   \n",
       "25010    HuberRegressor  0.869893   0.881187  0.888925  0.008167   \n",
       "25011    HuberRegressor  0.869893   0.881187  0.888925  0.008167   \n",
       "27924      SGDRegressor  0.869849   0.881011  0.886861  0.007896   \n",
       "27923      SGDRegressor  0.869849   0.881011  0.886861  0.007896   \n",
       "\n",
       "      fit_intercept     alpha solver max_iter selection warm_start l1_ratio  \\\n",
       "27511           NaN      0.01    NaN      100       NaN       True      NaN   \n",
       "27512           NaN      0.01    NaN      100       NaN      False      NaN   \n",
       "27607          True      0.01   lsqr      NaN       NaN        NaN      NaN   \n",
       "27618          True   0.00001    NaN     2000    cyclic        NaN        0   \n",
       "27619          True   0.00001    NaN     5000    cyclic        NaN        0   \n",
       "27620          True   0.00001    NaN     5000    random        NaN        0   \n",
       "27621          True   0.00001    NaN     2000    random        NaN        0   \n",
       "27705           NaN       NaN    NaN      NaN       NaN        NaN      NaN   \n",
       "27706          True       NaN    NaN      NaN       NaN        NaN      NaN   \n",
       "27707           NaN       NaN    NaN      NaN       NaN        NaN      NaN   \n",
       "27744          True  0.000001    NaN    10000    random       True      NaN   \n",
       "25010           NaN       1.0    NaN      100       NaN       True      NaN   \n",
       "25011           NaN       1.0    NaN      100       NaN      False      NaN   \n",
       "27924           NaN  0.000001    NaN     1000       NaN      False        0   \n",
       "27923           NaN  0.000001    NaN     1000       NaN      False        0   \n",
       "\n",
       "      random_state  tol max_trials epsilon learning_rate                 loss  \\\n",
       "27511          NaN  NaN        NaN     2.5           NaN                  NaN   \n",
       "27512          NaN  NaN        NaN     2.5           NaN                  NaN   \n",
       "27607          NaN  NaN        NaN     NaN           NaN                  NaN   \n",
       "27618        12345  NaN        NaN     NaN           NaN                  NaN   \n",
       "27619        12345  NaN        NaN     NaN           NaN                  NaN   \n",
       "27620        12345  NaN        NaN     NaN           NaN                  NaN   \n",
       "27621        12345  NaN        NaN     NaN           NaN                  NaN   \n",
       "27705        12345  NaN        NaN     NaN           NaN                  NaN   \n",
       "27706          NaN  NaN        NaN     NaN           NaN                  NaN   \n",
       "27707        12345  NaN        NaN     NaN           NaN                  NaN   \n",
       "27744          NaN  NaN        NaN     NaN           NaN                  NaN   \n",
       "25010          NaN  NaN        NaN     2.5           NaN                  NaN   \n",
       "25011          NaN  NaN        NaN     2.5           NaN                  NaN   \n",
       "27924        12345  NaN        NaN   0.001      adaptive  epsilon_insensitive   \n",
       "27923        12345  NaN        NaN   0.001      adaptive  epsilon_insensitive   \n",
       "\n",
       "          penalty jitter n_nonzero_coefs variable_set  \n",
       "27511         NaN    NaN             NaN      BKWD_20  \n",
       "27512         NaN    NaN             NaN      BKWD_20  \n",
       "27607         NaN    NaN             NaN      BKWD_20  \n",
       "27618         NaN    NaN             NaN      BKWD_20  \n",
       "27619         NaN    NaN             NaN      BKWD_20  \n",
       "27620         NaN    NaN             NaN      BKWD_20  \n",
       "27621         NaN    NaN             NaN      BKWD_20  \n",
       "27705         NaN   None             500      BKWD_20  \n",
       "27706         NaN    NaN             NaN      BKWD_20  \n",
       "27707         NaN   None             inf      BKWD_20  \n",
       "27744         NaN    NaN             NaN      BKWD_20  \n",
       "25010         NaN    NaN             NaN       FWD_20  \n",
       "25011         NaN    NaN             NaN       FWD_20  \n",
       "27924  elasticnet    NaN             NaN      BKWD_20  \n",
       "27923          l2    NaN             NaN      BKWD_20  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's choose best models and best variable set\n",
    "summary_modelsScores.sort_values(by=[\"estimator\",\"mean_score\",\"variable_set\"], ascending = False, inplace = True)\n",
    "max_idx = summary_modelsScores.groupby(['estimator','variable_set'])['mean_score'].transform(max) == summary_modelsScores['mean_score']\n",
    "summary_maxModelsScores = summary_modelsScores[max_idx]\n",
    "summary_maxModelsScores.sort_values(by='mean_score', ascending = False, inplace = True)\n",
    "# Top 15 models\n",
    "summary_maxModelsScores.head(15)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>min_score</th>\n",
       "      <th>mean_score</th>\n",
       "      <th>max_score</th>\n",
       "      <th>std_score</th>\n",
       "      <th>fit_intercept</th>\n",
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       "      <th>tol</th>\n",
       "      <th>max_trials</th>\n",
       "      <th>epsilon</th>\n",
       "      <th>learning_rate</th>\n",
       "      <th>loss</th>\n",
       "      <th>penalty</th>\n",
       "      <th>jitter</th>\n",
       "      <th>n_nonzero_coefs</th>\n",
       "      <th>variable_set</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estimator</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <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>ElasticNet</th>\n",
       "      <td>0.870623</td>\n",
       "      <td>0.881520</td>\n",
       "      <td>0.887298</td>\n",
       "      <td>0.007710</td>\n",
       "      <td>True</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>None</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>cyclic</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12345.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HuberRegressor</th>\n",
       "      <td>0.870118</td>\n",
       "      <td>0.881675</td>\n",
       "      <td>0.887661</td>\n",
       "      <td>0.008174</td>\n",
       "      <td>None</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>None</td>\n",
       "      <td>100.0</td>\n",
       "      <td>None</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.500</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lars</th>\n",
       "      <td>0.870620</td>\n",
       "      <td>0.881520</td>\n",
       "      <td>0.887304</td>\n",
       "      <td>0.007712</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12345.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>500.0</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LassoRegression</th>\n",
       "      <td>0.870621</td>\n",
       "      <td>0.881520</td>\n",
       "      <td>0.887303</td>\n",
       "      <td>0.007711</td>\n",
       "      <td>True</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>None</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>random</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LinearRegression</th>\n",
       "      <td>0.870620</td>\n",
       "      <td>0.881520</td>\n",
       "      <td>0.887304</td>\n",
       "      <td>0.007712</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RANSACRegression</th>\n",
       "      <td>0.856965</td>\n",
       "      <td>0.863604</td>\n",
       "      <td>0.870074</td>\n",
       "      <td>0.005353</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12345.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RidgeRegression</th>\n",
       "      <td>0.870616</td>\n",
       "      <td>0.881529</td>\n",
       "      <td>0.887316</td>\n",
       "      <td>0.007721</td>\n",
       "      <td>True</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>lsqr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGDRegressor</th>\n",
       "      <td>0.869849</td>\n",
       "      <td>0.881011</td>\n",
       "      <td>0.886861</td>\n",
       "      <td>0.007896</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>None</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12345.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001</td>\n",
       "      <td>adaptive</td>\n",
       "      <td>epsilon_insensitive</td>\n",
       "      <td>elasticnet</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BKWD_20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TheilRegression</th>\n",
       "      <td>0.851205</td>\n",
       "      <td>0.863377</td>\n",
       "      <td>0.871511</td>\n",
       "      <td>0.008768</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12345.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FWD_10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  min_score  mean_score  max_score  std_score fit_intercept  \\\n",
       "estimator                                                                     \n",
       "ElasticNet         0.870623    0.881520   0.887298   0.007710          True   \n",
       "HuberRegressor     0.870118    0.881675   0.887661   0.008174          None   \n",
       "Lars               0.870620    0.881520   0.887304   0.007712          None   \n",
       "LassoRegression    0.870621    0.881520   0.887303   0.007711          True   \n",
       "LinearRegression   0.870620    0.881520   0.887304   0.007712          True   \n",
       "RANSACRegression   0.856965    0.863604   0.870074   0.005353          None   \n",
       "RidgeRegression    0.870616    0.881529   0.887316   0.007721          True   \n",
       "SGDRegressor       0.869849    0.881011   0.886861   0.007896          None   \n",
       "TheilRegression    0.851205    0.863377   0.871511   0.008768          None   \n",
       "\n",
       "                     alpha solver  max_iter selection warm_start  l1_ratio  \\\n",
       "estimator                                                                    \n",
       "ElasticNet        0.000010   None    2000.0    cyclic       None       0.0   \n",
       "HuberRegressor    0.010000   None     100.0      None       True       NaN   \n",
       "Lars                   NaN   None       NaN      None       None       NaN   \n",
       "LassoRegression   0.000001   None   10000.0    random       True       NaN   \n",
       "LinearRegression       NaN   None       NaN      None       None       NaN   \n",
       "RANSACRegression       NaN   None       NaN      None       None       NaN   \n",
       "RidgeRegression   0.010000   lsqr       NaN      None       None       NaN   \n",
       "SGDRegressor      0.000001   None    1000.0      None      False       0.0   \n",
       "TheilRegression        NaN   None    5000.0      None       None       NaN   \n",
       "\n",
       "                  random_state  tol  max_trials  epsilon learning_rate  \\\n",
       "estimator                                                                \n",
       "ElasticNet             12345.0  NaN         NaN      NaN          None   \n",
       "HuberRegressor             NaN  NaN         NaN    2.500          None   \n",
       "Lars                   12345.0  NaN         NaN      NaN          None   \n",
       "LassoRegression            NaN  NaN         NaN      NaN          None   \n",
       "LinearRegression           NaN  NaN         NaN      NaN          None   \n",
       "RANSACRegression       12345.0  NaN      5000.0      NaN          None   \n",
       "RidgeRegression            NaN  NaN         NaN      NaN          None   \n",
       "SGDRegressor           12345.0  NaN         NaN    0.001      adaptive   \n",
       "TheilRegression        12345.0  0.9         NaN      NaN          None   \n",
       "\n",
       "                                 loss     penalty jitter  n_nonzero_coefs  \\\n",
       "estimator                                                                   \n",
       "ElasticNet                       None        None   None              NaN   \n",
       "HuberRegressor                   None        None   None              NaN   \n",
       "Lars                             None        None   None            500.0   \n",
       "LassoRegression                  None        None   None              NaN   \n",
       "LinearRegression                 None        None   None              NaN   \n",
       "RANSACRegression                 None        None   None              NaN   \n",
       "RidgeRegression                  None        None   None              NaN   \n",
       "SGDRegressor      epsilon_insensitive  elasticnet   None              NaN   \n",
       "TheilRegression                  None        None   None              NaN   \n",
       "\n",
       "                 variable_set  \n",
       "estimator                      \n",
       "ElasticNet            BKWD_20  \n",
       "HuberRegressor        BKWD_20  \n",
       "Lars                  BKWD_20  \n",
       "LassoRegression       BKWD_20  \n",
       "LinearRegression      BKWD_20  \n",
       "RANSACRegression       FWD_20  \n",
       "RidgeRegression       BKWD_20  \n",
       "SGDRegressor          BKWD_20  \n",
       "TheilRegression        FWD_10  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Preparing best models per model class\n",
    "best_idx = summary_maxModelsScores.groupby(['estimator'])['mean_score'].transform(max) == summary_maxModelsScores['mean_score']\n",
    "summary_bestModels = summary_maxModelsScores[best_idx]\n",
    "chosen_bestModels = summary_bestModels.groupby('estimator').first()\n",
    "chosen_bestModels"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Differences between Linear Regression and best models are not big. It seems that simple regression fits well engineered data. For final scoring on test sample we would choose 3 types of models with their best fit to train / valid data:\n",
    "1) ElasticNet \n",
    "2) Huber \n",
    "3) Lasso \n",
    "4) Linear \n",
    "5) Ridge\n",
    "6) Theil (worst model on train/valid dataset but uses only 10 variables and difference on mean score is less than 2%; also model type designed to be more robust to heteroscedasticity and outliers)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 6.3 Chosen models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MANUAL_INPUT if you require to change number of models or types of models\n",
    "model1_lr = LinearRegression()\n",
    "model1_lr.fit(X_train_valid[var_dict[chosen_bestModels.loc['LinearRegression'][\"variable_set\"]]], y2_train_valid)\n",
    "\n",
    "model2_lasso = Lasso(alpha = chosen_bestModels.loc['LassoRegression'][\"alpha\"],\n",
    "                    max_iter = chosen_bestModels.loc['LassoRegression'][\"max_iter\"],\n",
    "                    selection = chosen_bestModels.loc['LassoRegression'][\"selection\"],\n",
    "                    warm_start = chosen_bestModels.loc['LassoRegression'][\"warm_start\"]\n",
    "                    )\n",
    "model2_lasso.fit(X_train_valid[var_dict[chosen_bestModels.loc['LassoRegression'][\"variable_set\"]]], y2_train_valid)\n",
    "\n",
    "model3_elasticNet = ElasticNet(alpha = chosen_bestModels.loc['ElasticNet'][\"alpha\"],\n",
    "                    max_iter = chosen_bestModels.loc['ElasticNet'][\"max_iter\"],\n",
    "                    selection = chosen_bestModels.loc['ElasticNet'][\"selection\"],\n",
    "                    warm_start = chosen_bestModels.loc['ElasticNet'][\"l1_ratio\"],\n",
    "                    random_state = int(chosen_bestModels.loc['ElasticNet'][\"random_state\"])\n",
    "                              )\n",
    "model3_elasticNet.fit(X_train_valid[var_dict[chosen_bestModels.loc['ElasticNet'][\"variable_set\"]]], y2_train_valid)\n",
    "\n",
    "model4_ridge = Ridge(alpha = chosen_bestModels.loc['RidgeRegression'][\"alpha\"],\n",
    "                    solver = chosen_bestModels.loc['RidgeRegression'][\"solver\"]\n",
    "                    )\n",
    "model4_ridge.fit(X_train_valid[var_dict[chosen_bestModels.loc['RidgeRegression'][\"variable_set\"]]], y2_train_valid)\n",
    "\n",
    "model5_huber = HuberRegressor(alpha = chosen_bestModels.loc['HuberRegressor'][\"alpha\"],\n",
    "                              max_iter = chosen_bestModels.loc['HuberRegressor'][\"max_iter\"],\n",
    "                              warm_start = chosen_bestModels.loc['HuberRegressor'][\"warm_start\"],\n",
    "                              epsilon = chosen_bestModels.loc['HuberRegressor'][\"epsilon\"]\n",
    "                    )\n",
    "model5_huber.fit(X_train_valid[var_dict[chosen_bestModels.loc['HuberRegressor'][\"variable_set\"]]], y2_train_valid)\n",
    "\n",
    "\n",
    "model6_theil = HuberRegressor(alpha = chosen_bestModels.loc['TheilRegression'][\"tol\"],\n",
    "                              max_iter = chosen_bestModels.loc['TheilRegression'][\"max_iter\"],\n",
    "                              warm_start = chosen_bestModels.loc['TheilRegression'][\"random_state\"]\n",
    "                    )\n",
    "model6_theil.fit(X_train_valid[var_dict[chosen_bestModels.loc['TheilRegression'][\"variable_set\"]]], y2_train_valid)\n",
    "\n",
    "# Initating models for final evaluation on test metrics\n",
    "\n",
    "model_list = { 'model1_lr' : { 'model': model1_lr,\n",
    "                               'variables' : chosen_bestModels.loc['LinearRegression'][\"variable_set\"]},\n",
    "              'model2_lasso' : { 'model': model2_lasso,\n",
    "                               'variables' : chosen_bestModels.loc['LassoRegression'][\"variable_set\"]}, \n",
    "              'model3_elasticNet' : { 'model': model3_elasticNet,\n",
    "                               'variables' : chosen_bestModels.loc['ElasticNet'][\"variable_set\"]},\n",
    "              'model4_ridge' : { 'model': model4_ridge,\n",
    "                               'variables' : chosen_bestModels.loc['RidgeRegression'][\"variable_set\"]},\n",
    "             'model5_huber' : { 'model': model5_huber,\n",
    "                               'variables' : chosen_bestModels.loc['HuberRegressor'][\"variable_set\"]},\n",
    "             'model6_theil' : { 'model': model6_theil,\n",
    "                               'variables' : chosen_bestModels.loc['TheilRegression'][\"variable_set\"]}\n",
    "                            }"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7. Results export"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "parent = os.path.dirname(os.path.realpath(''))\n",
    "\n",
    "# Save model list + variable list for production scoring\n",
    "filename = 'model_list.sav'\n",
    "file = os.path.join(parent, 'models', filename)\n",
    "pickle.dump(model_list, open(file, 'wb'))\n",
    "\n",
    "# Save train / valid results of models\n",
    "filename = 'chosen_bestModels.sav'\n",
    "file = os.path.join(parent, 'data\\processed', filename)\n",
    "pickle.dump(chosen_bestModels, open(file, 'wb'))\n",
    "\n",
    "# Save list of discrete variables\n",
    "filename = 'discrete.sav'\n",
    "file = os.path.join(parent, 'data\\processed', filename)\n",
    "pickle.dump(discrete, open(file, 'wb'))\n",
    "\n",
    "# Save list of categorical variables\n",
    "filename = 'categorical.sav'\n",
    "file = os.path.join(parent, 'data\\processed', filename)\n",
    "pickle.dump(categorical, open(file, 'wb'))\n",
    "\n",
    "# Save list of continuous variables\n",
    "filename = 'continuous.sav'\n",
    "file = os.path.join(parent, 'data\\processed', filename)\n",
    "pickle.dump(continuous, open(file, 'wb'))\n",
    "\n",
    "# Save variable dictionary for production scoring\n",
    "filename = 'var_dict.sav'\n",
    "file = os.path.join(parent, 'data\\processed', filename)\n",
    "pickle.dump(var_dict, open(file, 'wb'))\n",
    "\n",
    "# Save Box-Cox power transformation list for production scoring\n",
    "filename = 'boxCox_dict.sav'\n",
    "file = os.path.join(parent, 'data\\processed', filename)\n",
    "pickle.dump(boxCox_dict, open(file, 'wb'))\n",
    "\n",
    "# Save Optbin WoE transformation list for production scoring\n",
    "filename = 'data_optbin.sav'\n",
    "file = os.path.join(parent, 'data\\processed', filename)\n",
    "pickle.dump(data_optbin, open(file, 'wb'))\n",
    "\n",
    "# Save train/valid scaler too keep same transformations on production scoring\n",
    "filename = 'train_scaler.sav'\n",
    "file = os.path.join(parent, 'data\\processed', filename)\n",
    "pickle.dump(train_scaler, open(file, 'wb'))\n",
    "\n",
    "\n",
    "# Save test data-sets for production scoring \n",
    "# Note: this is not ideal - in production environment we would expect raw\n",
    "# data coming in and doing all transformations on raw data vector, however\n",
    "# this approach is to simplify for learning purposes. \"Better done than\n",
    "# perfect \" :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done in -33.737min\n"
     ]
    }
   ],
   "source": [
    "# Finishing project timer\n",
    "toc_all = time()\n",
    "# Total project computation time\n",
    "print(f\"Done in {(tic_all - toc_all)/60.0:.3f}min\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Conclusion:\n",
    "During modelling phase usin train/valid sample we achieved satisfactory performance metrics (goal: prediction accuracy on transformed target variable). Mean R^2 score on 3-fold cross-validated estimation for best models was between 86% - 88,2%. Currently 6 models are selected and will be tested on dataset to establish Champion model.\n",
    "\n",
    "To mimic production process scoring test data will be part of next Jupyter Notebook (002.GP23_tg_Scoring_Test.ipynb). Also results from this notebook are exported to flat files using either pandas module (section 3.) or pickle (section 7.)"
   ]
  }
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